diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json
index 90966fb3840..4df8df96b0f 100644
--- a/.devcontainer/devcontainer.json
+++ b/.devcontainer/devcontainer.json
@@ -3,7 +3,7 @@
 {
   "name": "Langflow Dev Container",
   // Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile
-  "image": "mcr.microsoft.com/devcontainers/python:1-3.10-bullseye",
+  "image": "mcr.microsoft.com/devcontainers/python:3.10",
 
   // Features to add to the dev container. More info: https://containers.dev/features.
   "features": {
diff --git a/.dockerignore b/.dockerignore
deleted file mode 100644
index 130ca4c2cd3..00000000000
--- a/.dockerignore
+++ /dev/null
@@ -1,7 +0,0 @@
-.venv/
-**/aws
-# node_modules
-**/node_modules/
-dist/
-**/build/
-src/backend/langflow/frontend
\ No newline at end of file
diff --git a/.env.example b/.env.example
index 29a7259b050..6ce9411f618 100644
--- a/.env.example
+++ b/.env.example
@@ -4,6 +4,19 @@
 #        Do not commit .env file to git
 #        Do not change .env.example file
 
+# Config directory
+# Directory where files, logs and database will be stored
+# Example: LANGFLOW_CONFIG_DIR=~/.langflow
+LANGFLOW_CONFIG_DIR=
+
+# Save database in the config directory
+# Values: true, false
+# If false, the database will be saved in Langflow's root directory
+# This means that the database will be deleted when Langflow is uninstalled
+# and that the database will not be shared between different virtual environments
+# Example: LANGFLOW_SAVE_DB_IN_CONFIG_DIR=true
+LANGFLOW_SAVE_DB_IN_CONFIG_DIR=
+
 # Database URL
 # Postgres example: LANGFLOW_DATABASE_URL=postgresql://postgres:postgres@localhost:5432/langflow
 # SQLite example:
@@ -56,6 +69,12 @@ LANGFLOW_REMOVE_API_KEYS=
 # LANGFLOW_REDIS_CACHE_EXPIRE (default: 3600)
 LANGFLOW_CACHE_TYPE=
 
+# Set AUTO_LOGIN to false if you want to disable auto login
+# and use the login form to login. LANGFLOW_SUPERUSER and LANGFLOW_SUPERUSER_PASSWORD
+# must be set if AUTO_LOGIN is set to false
+# Values: true, false
+LANGFLOW_AUTO_LOGIN=
+
 # Superuser username
 # Example: LANGFLOW_SUPERUSER=admin
 LANGFLOW_SUPERUSER=
@@ -64,6 +83,10 @@ LANGFLOW_SUPERUSER=
 # Example: LANGFLOW_SUPERUSER_PASSWORD=123456
 LANGFLOW_SUPERUSER_PASSWORD=
 
+# Should store environment variables in the database
+# Values: true, false
+LANGFLOW_STORE_ENVIRONMENT_VARIABLES=
+
 # STORE_URL
 # Example: LANGFLOW_STORE_URL=https://api.langflow.store
 # LANGFLOW_STORE_URL=
@@ -74,4 +97,8 @@ LANGFLOW_SUPERUSER_PASSWORD=
 
 # LIKE_WEBHOOK_URL
 #
-# LANGFLOW_LIKE_WEBHOOK_URL=
\ No newline at end of file
+# LANGFLOW_LIKE_WEBHOOK_URL=
+
+# Value must finish with slash /
+#BACKEND_URL=http://localhost:7860/
+BACKEND_URL=
\ No newline at end of file
diff --git a/.eslintrc.json b/.eslintrc.json
new file mode 100644
index 00000000000..fc12c18c2c5
--- /dev/null
+++ b/.eslintrc.json
@@ -0,0 +1,90 @@
+{
+    "extends": [
+        "eslint:recommended",
+        "plugin:react/recommended",
+        "plugin:prettier/recommended"
+    ],
+    "plugins": [
+        "react",
+        "import-helpers",
+        "prettier"
+    ],
+    "parser": "@typescript-eslint/parser",
+    "parserOptions": {
+        "project": [
+            "./tsconfig.node.json",
+            "./tsconfig.json"
+        ],
+        "extraFileExtensions:": [
+            ".mdx"
+        ],
+        "extensions:": [
+            ".mdx"
+        ]
+    },
+    "env": {
+        "browser": true,
+        "es2021": true
+    },
+    "settings": {
+        "react": {
+            "version": "detect"
+        }
+    },
+    "rules": {
+        "no-console": "warn",
+        "no-self-assign": "warn",
+        "no-self-compare": "warn",
+        "complexity": [
+            "error",
+            {
+                "max": 15
+            }
+        ],
+        "indent": [
+            "error",
+            2,
+            {
+                "SwitchCase": 1
+            }
+        ],
+        "no-dupe-keys": "error",
+        "no-invalid-regexp": "error",
+        "no-undef": "error",
+        "no-return-assign": "error",
+        "no-redeclare": "error",
+        "no-empty": "error",
+        "no-await-in-loop": "error",
+        "react/react-in-jsx-scope": 0,
+        "node/exports-style": [
+            "error",
+            "module.exports"
+        ],
+        "node/file-extension-in-import": [
+            "error",
+            "always"
+        ],
+        "node/prefer-global/buffer": [
+            "error",
+            "always"
+        ],
+        "node/prefer-global/console": [
+            "error",
+            "always"
+        ],
+        "node/prefer-global/process": [
+            "error",
+            "always"
+        ],
+        "node/prefer-global/url-search-params": [
+            "error",
+            "always"
+        ],
+        "node/prefer-global/url": [
+            "error",
+            "always"
+        ],
+        "node/prefer-promises/dns": "error",
+        "node/prefer-promises/fs": "error"
+    }
+}
diff --git a/.gitattributes b/.gitattributes
index 4b878819c5f..379b21be81f 100644
--- a/.gitattributes
+++ b/.gitattributes
@@ -32,3 +32,4 @@ Dockerfile text
 *.mp4 binary
 *.svg binary
 *.csv binary
+
diff --git a/.github/actions/poetry_caching/action.yml b/.github/actions/poetry_caching/action.yml
new file mode 100644
index 00000000000..4bb6415acb7
--- /dev/null
+++ b/.github/actions/poetry_caching/action.yml
@@ -0,0 +1,99 @@
+# An action for setting up poetry install with caching.
+# Using a custom action since the default action does not
+# take poetry install groups into account.
+# Action code from:
+# https://github.com/actions/setup-python/issues/505#issuecomment-1273013236
+# Copy of https://github.com/langchain-ai/langchain/blob/2f8dd1a1619f25daa4737df4d378b1acd6ff83c4/.github/actions/poetry_setup/action.yml
+name: poetry-install-with-caching
+description: Poetry install with support for caching of dependency groups.
+
+inputs:
+  python-version:
+    description: Python version, supporting MAJOR.MINOR only
+    required: true
+
+  poetry-version:
+    description: Poetry version
+    required: true
+
+  cache-key:
+    description: Cache key to use for manual handling of caching
+    required: true
+
+  working-directory:
+    description: Directory whose poetry.lock file should be cached
+    required: true
+
+runs:
+  using: composite
+  steps:
+    - uses: actions/setup-python@v5
+      name: Setup python ${{ inputs.python-version }}
+      id: setup-python
+      with:
+        python-version: ${{ inputs.python-version }}
+
+    - uses: actions/cache@v4
+      id: cache-bin-poetry
+      name: Cache Poetry binary - Python ${{ inputs.python-version }}
+      env:
+        SEGMENT_DOWNLOAD_TIMEOUT_MIN: "1"
+      with:
+        path: |
+          /opt/pipx/venvs/poetry
+        # This step caches the poetry installation, so make sure it's keyed on the poetry version as well.
+        key: bin-poetry-${{ runner.os }}-${{ runner.arch }}-py-${{ inputs.python-version }}-${{ inputs.poetry-version }}
+
+    - name: Refresh shell hashtable and fixup softlinks
+      if: steps.cache-bin-poetry.outputs.cache-hit == 'true'
+      shell: bash
+      env:
+        POETRY_VERSION: ${{ inputs.poetry-version }}
+        PYTHON_VERSION: ${{ inputs.python-version }}
+      run: |
+        set -eux
+
+        # Refresh the shell hashtable, to ensure correct `which` output.
+        hash -r
+
+        # `actions/cache@v3` doesn't always seem able to correctly unpack softlinks.
+        # Delete and recreate the softlinks pipx expects to have.
+        rm /opt/pipx/venvs/poetry/bin/python
+        cd /opt/pipx/venvs/poetry/bin
+        ln -s "$(which "python$PYTHON_VERSION")" python
+        chmod +x python
+        cd /opt/pipx_bin/
+        ln -s /opt/pipx/venvs/poetry/bin/poetry poetry
+        chmod +x poetry
+
+        # Ensure everything got set up correctly.
+        /opt/pipx/venvs/poetry/bin/python --version
+        /opt/pipx_bin/poetry --version
+
+    - name: Install poetry
+      if: steps.cache-bin-poetry.outputs.cache-hit != 'true'
+      shell: bash
+      env:
+        POETRY_VERSION: ${{ inputs.poetry-version || env.POETRY_VERSION }}
+        PYTHON_VERSION: ${{ inputs.python-version }}
+      # Install poetry using the python version installed by setup-python step.
+      run: |
+        pipx install "poetry==$POETRY_VERSION" --python '${{ steps.setup-python.outputs.python-path }}' --verbose
+        pipx ensurepath
+        # Ensure the poetry binary is available in the PATH.
+        # Test that the poetry binary is available.
+        poetry --version
+
+    - name: Restore pip and poetry cached dependencies
+      uses: actions/cache@v4
+      env:
+        SEGMENT_DOWNLOAD_TIMEOUT_MIN: "4"
+        WORKDIR: ${{ inputs.working-directory == '' && '.' || inputs.working-directory }}
+      with:
+        path: |
+          ~/.cache/pip
+          ~/.cache/pypoetry/virtualenvs
+          ~/.cache/pypoetry/cache
+          ~/.cache/pypoetry/artifacts
+          ${{ env.WORKDIR }}/.venv
+        key: py-deps-${{ runner.os }}-${{ runner.arch }}-py-${{ inputs.python-version }}-poetry-${{ inputs.poetry-version }}-${{ inputs.cache-key }}-${{ hashFiles(format('{0}/**/poetry.lock', env.WORKDIR)) }}
diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
deleted file mode 100644
index d4a67f8f404..00000000000
--- a/.github/workflows/ci.yml
+++ /dev/null
@@ -1,44 +0,0 @@
-name: "Async API tests"
-
-on:
-  push:
-    branches:
-      - dev
-  pull_request:
-    branches:
-      - dev
-      - main
-
-jobs:
-  build-and-test:
-    runs-on: ubuntu-latest
-    env:
-      OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v4
-
-      - name: Cache Docker layers
-        uses: actions/cache@v4
-        with:
-          path: /tmp/.buildx-cache
-          key: ${{ runner.os }}-buildx-${{ github.sha }}
-          restore-keys: |
-            ${{ runner.os }}-buildx-
-
-      - name: Set up Docker
-        run: docker --version && docker-compose --version
-
-      - name: "Create env file"
-        working-directory: ./deploy
-        run: |
-          echo "${{ secrets.ENV_FILE }}" > .env
-
-      - name: Build and start services
-
-        working-directory: ./deploy
-        run: docker compose up --exit-code-from tests tests result_backend broker celeryworker db --build
-        continue-on-error: true
-
-      # - name: Stop services
-      #   run: docker compose down
diff --git a/.github/workflows/create-release.yml b/.github/workflows/create-release.yml
new file mode 100644
index 00000000000..e1b806ccf07
--- /dev/null
+++ b/.github/workflows/create-release.yml
@@ -0,0 +1,64 @@
+name: Create Release
+on:
+  workflow_dispatch:
+    inputs:
+      version:
+        description: "Version to release"
+        required: true
+        type: string
+      release_type:
+        description: "Type of release (base or main)"
+        required: true
+        type: choice
+        options:
+          - base
+          - main
+
+env:
+  POETRY_VERSION: "1.8.2"
+jobs:
+  release:
+    name: Build Langflow
+    runs-on: ubuntu-latest
+    outputs:
+      version: ${{ steps.check-version.outputs.version }}
+    steps:
+      - uses: actions/checkout@v4
+      - name: Install poetry
+        run: pipx install poetry==${{ env.POETRY_VERSION }}
+      - name: Set up Python 3.12
+        uses: actions/setup-python@v5
+        with:
+          python-version: "3.12"
+          cache: "poetry"
+      - name: Build project for distribution
+        run: |
+          if [ "${{ inputs.release_type }}" == "base" ]; then
+          make build base=true
+          else
+          make build main=true
+          fi
+      - name: Upload Artifact
+        uses: actions/upload-artifact@v4
+        with:
+          name: dist${{ inputs.release_type }}
+          path: ${{ inputs.release_type == 'base' && 'src/backend/base/dist' || 'dist' }}
+  create_release:
+    name: Create Release Job
+    runs-on: ubuntu-latest
+    needs: release
+    steps:
+      - uses: actions/download-artifact@v4
+        with:
+          name: dist${{ inputs.release_type }}
+          path: dist
+      - name: Create Release Notes
+        uses: ncipollo/release-action@v1
+        with:
+          artifacts: "dist/*"
+          token: ${{ secrets.GITHUB_TOKEN }}
+          draft: false
+          generateReleaseNotes: true
+          prerelease: true
+          tag: v${{ inputs.version }}
+          commit: dev
diff --git a/.github/workflows/deploy_gh-pages.yml b/.github/workflows/deploy_gh-pages.yml
index aec8a39c847..9aebacda9dc 100644
--- a/.github/workflows/deploy_gh-pages.yml
+++ b/.github/workflows/deploy_gh-pages.yml
@@ -27,7 +27,7 @@ jobs:
       # Popular action to deploy to GitHub Pages:
       # Docs: https://github.com/peaceiris/actions-gh-pages#%EF%B8%8F-docusaurus
       - name: Deploy to GitHub Pages
-        uses: peaceiris/actions-gh-pages@v3
+        uses: peaceiris/actions-gh-pages@v4
         with:
           github_token: ${{ secrets.GITHUB_TOKEN }}
           # Build output to publish to the `gh-pages` branch:
diff --git a/.github/workflows/docker-build.yml b/.github/workflows/docker-build.yml
new file mode 100644
index 00000000000..26687761123
--- /dev/null
+++ b/.github/workflows/docker-build.yml
@@ -0,0 +1,140 @@
+name: Docker Build and Push
+on:
+  workflow_call:
+    inputs:
+      version:
+        required: true
+        type: string
+      release_type:
+        required: true
+        type: string
+      pre_release:
+        required: false
+        type: boolean
+        default: true
+
+  workflow_dispatch:
+    inputs:
+      version:
+        required: true
+        type: string
+      release_type:
+        required: true
+        type: choice
+        options:
+          - base
+          - main
+      pre_release:
+        required: false
+        type: boolean
+        default: true
+env:
+  POETRY_VERSION: "1.8.2"
+  TEST_TAG: "langflowai/langflow:test"
+
+jobs:
+  setup:
+    runs-on: ubuntu-latest
+    outputs:
+      tags: ${{ steps.set-vars.outputs.tags }}
+      file: ${{ steps.set-vars.outputs.file }}
+    steps:
+      - uses: actions/checkout@v4
+      - name: Set Dockerfile and Tags
+        id: set-vars
+        run: |
+          if [[ "${{ inputs.release_type }}" == "base" ]]; then
+            echo "tags=langflowai/langflow:base-${{ inputs.version }},langflowai/langflow:base-latest" >> $GITHUB_OUTPUT
+            echo "file=./docker/build_and_push_base.Dockerfile" >> $GITHUB_OUTPUT
+          else
+            if [[ "${{ inputs.pre_release }}" == "true" ]]; then
+              echo "tags=langflowai/langflow:${{ inputs.version }}" >> $GITHUB_OUTPUT
+            else
+              echo "tags=langflowai/langflow:${{ inputs.version }},langflowai/langflow:latest" >> $GITHUB_OUTPUT
+            fi
+            echo "file=./docker/build_and_push.Dockerfile" >> $GITHUB_OUTPUT
+          fi
+  build:
+    runs-on: ubuntu-latest
+    needs: setup
+    steps:
+      - uses: actions/checkout@v4
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+      - name: Login to Docker Hub
+        uses: docker/login-action@v3
+        with:
+          username: ${{ secrets.DOCKERHUB_USERNAME }}
+          password: ${{ secrets.DOCKERHUB_TOKEN }}
+      - name: Build and Push Docker Image
+        uses: docker/build-push-action@v5
+        with:
+          context: .
+          push: true
+          file: ${{ needs.setup.outputs.file }}
+          tags: ${{ needs.setup.outputs.tags }}
+          # provenance: false will result in a single manifest for all platforms which makes the image pullable from arm64 machines via the emulation (e.g. Apple Silicon machines)
+          provenance: false
+
+  build_components:
+    if: ${{ inputs.release_type == 'main' }}
+    runs-on: ubuntu-latest
+    needs: build
+    strategy:
+      matrix:
+        component: [backend, frontend]
+        include:
+          - component: backend
+            dockerfile: ./docker/build_and_push_backend.Dockerfile
+            tags: langflowai/langflow-backend:${{ inputs.version }},langflowai/langflow-backend:1.0-alpha
+          - component: frontend
+            dockerfile: ./docker/frontend/build_and_push_frontend.Dockerfile
+            tags: langflowai/langflow-frontend:${{ inputs.version }},langflowai/langflow-frontend:1.0-alpha
+    steps:
+      - uses: actions/checkout@v4
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+      - name: Login to Docker Hub
+        uses: docker/login-action@v3
+        with:
+          username: ${{ secrets.DOCKERHUB_USERNAME }}
+          password: ${{ secrets.DOCKERHUB_TOKEN }}
+      - name: Wait for Docker Hub to propagate (for backend)
+        run: sleep 120
+      - name: Build and push ${{ matrix.component }}
+        uses: docker/build-push-action@v5
+        with:
+          context: .
+          push: true
+          build-args: |
+            LANGFLOW_IMAGE=langflowai/langflow:${{ inputs.version }}
+          file: ${{ matrix.dockerfile }}
+          tags: ${{ matrix.tags }}
+          # provenance: false will result in a single manifest for all platforms which makes the image pullable from arm64 machines via the emulation (e.g. Apple Silicon machines)
+          provenance: false
+
+  restart-space:
+    name: Restart HuggingFace Spaces
+    if: ${{ inputs.release_type == 'main' }}
+    runs-on: ubuntu-latest
+    needs: build
+    strategy:
+      matrix:
+        python-version:
+          - "3.12"
+    steps:
+      - uses: actions/checkout@v4
+      - name: Set up Python ${{ matrix.python-version }} + Poetry ${{ env.POETRY_VERSION }}
+        uses: "./.github/actions/poetry_caching"
+        with:
+          python-version: ${{ matrix.python-version }}
+          poetry-version: ${{ env.POETRY_VERSION }}
+          cache-key: ${{ runner.os }}-poetry-${{ env.POETRY_VERSION }}-${{ hashFiles('**/poetry.lock') }}
+      - name: Install Python dependencies
+        run: |
+          poetry env use ${{ matrix.python-version }}
+          poetry install
+
+      - name: Restart HuggingFace Spaces Build
+        run: |
+          poetry run python ./scripts/factory_restart_space.py --space "Langflow/Langflow-Preview" --token ${{ secrets.HUGGINGFACE_API_TOKEN }}
diff --git a/.github/workflows/docker_test.yml b/.github/workflows/docker_test.yml
new file mode 100644
index 00000000000..07b826c588e
--- /dev/null
+++ b/.github/workflows/docker_test.yml
@@ -0,0 +1,64 @@
+name: Test Docker images
+
+on:
+  push:
+    branches: [main]
+    paths:
+      - "docker/**"
+      - "poetry.lock"
+      - "pyproject.toml"
+      - "src/backend/**"
+      - ".github/workflows/docker_test.yml"
+  pull_request:
+    branches: [dev]
+    paths:
+      - "docker/**"
+      - "poetry.lock"
+      - "pyproject.toml"
+      - "src/**"
+      - ".github/workflows/docker_test.yml"
+
+env:
+  POETRY_VERSION: "1.8.2"
+
+jobs:
+  test-docker:
+    runs-on: ubuntu-latest
+    name: Test docker images
+    steps:
+      - uses: actions/checkout@v4
+      - name: Build image
+        run: |
+          docker build -t langflowai/langflow:latest-dev \
+            -f docker/build_and_push.Dockerfile \
+            .
+      - name: Test image
+        run: |
+          expected_version=$(cat pyproject.toml | grep version | head -n 1 | cut -d '"' -f 2)
+          version=$(docker run --rm --entrypoint bash langflowai/langflow:latest-dev -c 'python -c "from langflow.version import __version__ as langflow_version; print(langflow_version)"')
+          if [ "$expected_version" != "$version" ]; then
+              echo "Expected version: $expected_version"
+              echo "Actual version: $version"
+              exit 1
+          fi
+
+      - name: Build backend image
+        run: |
+          docker build -t langflowai/langflow-backend:latest-dev \
+            --build-arg LANGFLOW_IMAGE=langflowai/langflow:latest-dev \
+            -f docker/build_and_push_backend.Dockerfile \
+            .
+      - name: Test backend image
+        run: |
+          expected_version=$(cat pyproject.toml | grep version | head -n 1 | cut -d '"' -f 2)
+          version=$(docker run --rm --entrypoint bash langflowai/langflow-backend:latest-dev -c 'python -c "from langflow.version import __version__ as langflow_version; print(langflow_version)"')
+          if [ "$expected_version" != "$version" ]; then
+              echo "Expected version: $expected_version"
+              echo "Actual version: $version"
+              exit 1
+          fi
+      - name: Build frontend image
+        run: |
+          docker build -t langflowai/langflow-frontend:latest-dev \
+            -f docker/frontend/build_and_push_frontend.Dockerfile \
+            .
diff --git a/.github/workflows/lint-js.yml b/.github/workflows/lint-js.yml
new file mode 100644
index 00000000000..d381a467fa0
--- /dev/null
+++ b/.github/workflows/lint-js.yml
@@ -0,0 +1,52 @@
+name: Lint Frontend
+
+on:
+  pull_request:
+    paths:
+      - "src/frontend/**"
+
+env:
+  NODE_VERSION: "21"
+
+jobs:
+  run-linters:
+    name: Run Prettier
+    runs-on: ubuntu-latest
+    permissions:
+      contents: write
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Setup Node.js
+        uses: actions/setup-node@v4
+        id: setup-node
+        with:
+          node-version: ${{ env.NODE_VERSION }}
+
+      - name: Cache Node.js dependencies
+        uses: actions/cache@v4
+        id: npm-cache
+        with:
+          path: ~/.npm
+          key: ${{ runner.os }}-node-${{ hashFiles('src/frontend/package-lock.json') }}
+          restore-keys: |
+            ${{ runner.os }}-node-
+
+      - name: Install Node.js dependencies
+        run: |
+          cd src/frontend
+          npm install
+        if: ${{ steps.setup-node.outputs.cache-hit != 'true' }}
+
+      - name: Run Prettier
+        run: |
+          cd src/frontend
+          npm run format
+      - name: Commit changes
+        uses: stefanzweifel/git-auto-commit-action@v5
+        with:
+          commit_message: Apply Prettier formatting
+          branch: ${{ github.head_ref }}
+
diff --git a/.github/workflows/lint-py.yml b/.github/workflows/lint-py.yml
new file mode 100644
index 00000000000..95fbb15e6e5
--- /dev/null
+++ b/.github/workflows/lint-py.yml
@@ -0,0 +1,37 @@
+name: Lint Python
+
+on:
+  pull_request:
+    paths:
+      - "poetry.lock"
+      - "pyproject.toml"
+      - "src/backend/**"
+      - "tests/**"
+
+env:
+  POETRY_VERSION: "1.8.2"
+
+jobs:
+  lint:
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        python-version:
+          - "3.12"
+          - "3.11"
+          - "3.10"
+    steps:
+      - uses: actions/checkout@v4
+      - name: Set up Python ${{ matrix.python-version }} + Poetry ${{ env.POETRY_VERSION }}
+        uses: "./.github/actions/poetry_caching"
+        with:
+          python-version: ${{ matrix.python-version }}
+          poetry-version: ${{ env.POETRY_VERSION }}
+          cache-key: ${{ runner.os }}-poetry-${{ env.POETRY_VERSION }}-${{ hashFiles('**/poetry.lock') }}
+      - name: Install Python dependencies
+        run: |
+          poetry env use ${{ matrix.python-version }}
+          poetry install
+          make lint
+        env:
+          GITHUB_TOKEN: ${{ secrets.github_token }}
diff --git a/.github/workflows/lint.yml b/.github/workflows/lint.yml
deleted file mode 100644
index d4eaafb95f0..00000000000
--- a/.github/workflows/lint.yml
+++ /dev/null
@@ -1,43 +0,0 @@
-name: lint
-
-on:
-  push:
-    branches: [main]
-    paths:
-      - "poetry.lock"
-      - "pyproject.toml"
-      - "src/backend/**"
-  pull_request:
-    paths:
-      - "poetry.lock"
-      - "pyproject.toml"
-      - "src/backend/**"
-
-env:
-  POETRY_VERSION: "1.7.0"
-
-jobs:
-  lint:
-    runs-on: ubuntu-latest
-    strategy:
-      matrix:
-        python-version:
-          - "3.9"
-          - "3.10"
-          - "3.11"
-    steps:
-      - uses: actions/checkout@v4
-      - name: Install poetry
-        run: |
-          pipx install poetry==$POETRY_VERSION
-      - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v5
-        with:
-          python-version: ${{ matrix.python-version }}
-          cache: poetry
-      - name: Install dependencies
-        run: |
-          poetry install
-      - name: Analysing the code with our lint
-        run: |
-          make lint
diff --git a/.github/workflows/matchers/ruff.json b/.github/workflows/matchers/ruff.json
new file mode 100644
index 00000000000..53b21be23df
--- /dev/null
+++ b/.github/workflows/matchers/ruff.json
@@ -0,0 +1,14 @@
+{
+    "problemMatcher": [
+        {
+            "owner": "ruff",
+            "pattern": [
+                {
+                    "regexp": "^(Would reformat): (.+)$",
+                    "message": 1,
+                    "file": 2
+                }
+            ]
+        }
+    ]
+}
\ No newline at end of file
diff --git a/.github/workflows/pr-checker.yml b/.github/workflows/pr-checker.yml
new file mode 100644
index 00000000000..3705715feb1
--- /dev/null
+++ b/.github/workflows/pr-checker.yml
@@ -0,0 +1,26 @@
+name: PR checker
+
+on:
+  pull_request:
+    types: [opened, edited, labeled, unlabeled, synchronize]
+
+jobs:
+  pr-checker:
+    name: Check PR description
+    runs-on: [ubuntu-latest]
+    steps:
+      - name: Run PR title check
+        uses: transferwise/actions-pr-checker@v3
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+          PR_TITLE_CONTAINS_PATTERN: ".{15,}" # Require at least 10 characters in the title
+          PR_COMMENT: |
+            Please provide a more meaningful PR title with at least 15 characters.
+
+      - name: Run PR description check
+        uses: transferwise/actions-pr-checker@v3
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+          PR_CONTAINS_PATTERN: ".{25,}" # Require at least 10 characters in the description
+          PR_COMMENT: |
+            Please provide a more meaningful PR description with at least 25 characters.
diff --git a/.github/workflows/pre-release-base.yml b/.github/workflows/pre-release-base.yml
new file mode 100644
index 00000000000..e732af99307
--- /dev/null
+++ b/.github/workflows/pre-release-base.yml
@@ -0,0 +1,80 @@
+name: Langflow Base Pre-release
+run-name: Langflow Base Pre-release by @${{ github.actor }}
+on:
+  workflow_dispatch:
+    inputs:
+      release_package:
+        description: "Release package"
+        required: true
+        type: boolean
+        default: false
+
+env:
+  POETRY_VERSION: "1.8.2"
+
+jobs:
+  release:
+    name: Release Langflow Base
+    if: inputs.release_package == true
+    runs-on: ubuntu-latest
+    outputs:
+      version: ${{ steps.check-version.outputs.version }}
+    steps:
+      - uses: actions/checkout@v4
+      - name: Install poetry
+        run: pipx install poetry==${{ env.POETRY_VERSION }}
+      - name: Set up Python 3.10
+        uses: actions/setup-python@v5
+        with:
+          python-version: "3.10"
+          cache: "poetry"
+      - name: Check Version
+        id: check-version
+        # In this step, we should check the version of the package
+        # and see if it is a version that is already released
+        # echo version=$(cd src/backend/base && poetry version --short) >> $GITHUB_OUTPUT
+        # cd src/backend/base && poetry version --short should
+        # be different than the last release version in pypi
+        # which we can get from curl -s "https://pypi.org/pypi/langflow/json" | jq -r '.releases | keys | .[]' | sort -V | tail -n 1
+        run: |
+          version=$(cd src/backend/base && poetry version --short)
+          last_released_version=$(curl -s "https://pypi.org/pypi/langflow-base/json" | jq -r '.releases | keys | .[]' | sort -V | tail -n 1)
+          if [ "$version" = "$last_released_version" ]; then
+            echo "Version $version is already released. Skipping release."
+            exit 1
+          else
+            echo version=$version >> $GITHUB_OUTPUT
+          fi
+      - name: Build project for distribution
+        run: make build base=true
+      - name: Publish to PyPI
+        env:
+          POETRY_PYPI_TOKEN_PYPI: ${{ secrets.PYPI_API_TOKEN }}
+        run: |
+          make publish base=true
+  docker_build:
+    name: Build Docker Image
+    runs-on: ubuntu-latest
+    needs: release
+    steps:
+      - uses: actions/checkout@v4
+      - name: Set up QEMU
+        uses: docker/setup-qemu-action@v3
+        id: qemu
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+      - name: Login to Docker Hub
+        uses: docker/login-action@v3
+        with:
+          username: ${{ secrets.DOCKERHUB_USERNAME }}
+          password: ${{ secrets.DOCKERHUB_TOKEN }}
+      - name: Build and push
+        uses: docker/build-push-action@v5
+        with:
+          context: .
+          push: true
+          file: ./docker/build_and_push_base.Dockerfile
+          tags: |
+            langflowai/langflow:base-${{ needs.release.outputs.version }}
+          # provenance: false will result in a single manifest for all platforms which makes the image pullable from arm64 machines via the emulation (e.g. Apple Silicon machines)
+          provenance: false
diff --git a/.github/workflows/pre-release-langflow.yml b/.github/workflows/pre-release-langflow.yml
new file mode 100644
index 00000000000..879fb9da597
--- /dev/null
+++ b/.github/workflows/pre-release-langflow.yml
@@ -0,0 +1,133 @@
+name: Langflow Pre-release
+run-name: Langflow Pre-release by @${{ github.actor }}
+on:
+  workflow_dispatch:
+    inputs:
+      release_package:
+        description: "Release package"
+        required: true
+        type: boolean
+        default: false
+  workflow_run:
+    workflows: ["pre-release-base"]
+    types: [completed]
+    branches: [dev]
+
+env:
+  POETRY_VERSION: "1.8.2"
+
+jobs:
+  release:
+    name: Release Langflow
+    if: inputs.release_package == true
+    runs-on: ubuntu-latest
+    outputs:
+      version: ${{ steps.check-version.outputs.version }}
+    steps:
+      - uses: actions/checkout@v4
+      - name: Install poetry
+        run: pipx install poetry==${{ env.POETRY_VERSION }}
+      - name: Set up Python 3.10
+        uses: actions/setup-python@v5
+        with:
+          python-version: "3.10"
+          cache: "poetry"
+      - name: Check Version
+        id: check-version
+        run: |
+          version=$(poetry version --short)
+          last_released_version=$(curl -s "https://pypi.org/pypi/langflow/json" | jq -r '.releases | keys | .[]' | sort -V | tail -n 1)
+          if [ "$version" = "$last_released_version" ]; then
+            echo "Version $version is already released. Skipping release."
+            exit 1
+          else
+            echo version=$version >> $GITHUB_OUTPUT
+          fi
+      - name: Build project for distribution
+        run: make build main=true
+      - name: Display pyproject.toml langflow-base Version
+        run: cat pyproject.toml | grep langflow-base
+      - name: Publish to PyPI
+        env:
+          POETRY_PYPI_TOKEN_PYPI: ${{ secrets.PYPI_API_TOKEN }}
+        run: |
+          make publish main=true
+      - name: Upload Artifact
+        uses: actions/upload-artifact@v4
+        with:
+          name: dist
+          path: dist
+
+  docker_build:
+    name: Build Docker Image
+    runs-on: ubuntu-latest
+    needs: release
+    steps:
+      - uses: actions/checkout@v4
+      - name: Set up QEMU
+        uses: docker/setup-qemu-action@v3
+        id: qemu
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+      - name: Login to Docker Hub
+        uses: docker/login-action@v3
+        with:
+          username: ${{ secrets.DOCKERHUB_USERNAME }}
+          password: ${{ secrets.DOCKERHUB_TOKEN }}
+      - name: Build and push
+        uses: docker/build-push-action@v5
+        with:
+          context: .
+          push: true
+          file: ./docker/build_and_push.Dockerfile
+          # provenance: false will result in a single manifest for all platforms which makes the image pullable from arm64 machines via the emulation (e.g. Apple Silicon machines)
+          provenance: false
+          tags: |
+            langflowai/langflow:${{ needs.release.outputs.version }}
+            langflowai/langflow:1.0-alpha
+      - name: Build and push (frontend)
+        uses: docker/build-push-action@v5
+        with:
+          context: .
+          push: true
+          file: ./docker/frontend/build_and_push_frontend.Dockerfile
+          # provenance: false will result in a single manifest for all platforms which makes the image pullable from arm64 machines via the emulation (e.g. Apple Silicon machines)
+          provenance: false
+          tags: |
+            langflowai/langflow-frontend:${{ needs.release.outputs.version }}
+            langflowai/langflow-frontend:1.0-alpha
+      - name: Wait for Docker Hub to propagate
+        run: sleep 120
+      - name: Build and push (backend)
+        uses: docker/build-push-action@v5
+        with:
+          context: .
+          push: true
+          file: ./docker/build_and_push_backend.Dockerfile
+          # provenance: false will result in a single manifest for all platforms which makes the image pullable from arm64 machines via the emulation (e.g. Apple Silicon machines)
+          provenance: false
+          build-args: |
+            LANGFLOW_IMAGE=langflowai/langflow:${{ needs.release.outputs.version }}
+          tags: |
+            langflowai/langflow-backend:${{ needs.release.outputs.version }}
+            langflowai/langflow-backend:1.0-alpha
+
+  create_release:
+    name: Create Release
+    runs-on: ubuntu-latest
+    needs: [docker_build, release]
+    steps:
+      - uses: actions/download-artifact@v4
+        with:
+          name: dist
+          path: dist
+      - name: Create Release
+        uses: ncipollo/release-action@v1
+        with:
+          artifacts: "dist/*"
+          token: ${{ secrets.GITHUB_TOKEN }}
+          draft: false
+          generateReleaseNotes: true
+          prerelease: true
+          tag: v${{ needs.release.outputs.version }}
+          commit: dev
diff --git a/.github/workflows/pre-release.yml b/.github/workflows/pre-release.yml
index 58bdd219e9f..814edd7beb6 100644
--- a/.github/workflows/pre-release.yml
+++ b/.github/workflows/pre-release.yml
@@ -1,37 +1,122 @@
-name: pre-release
-
+name: Langflow Pre-release (Unified)
+run-name: Langflow (${{inputs.release_type}}) Pre-release by @${{ github.actor }}
 on:
-  pull_request:
-    types:
-      - closed
-    branches:
-      - dev
-    paths:
-      - "pyproject.toml"
   workflow_dispatch:
+    inputs:
+      release_package:
+        description: "Release package"
+        required: true
+        type: boolean
+        default: false
+      release_type:
+        description: "Type of release (base or main)"
+        required: true
+        type: choice
+        options:
+          - base
+          - main
 
 env:
-  POETRY_VERSION: "1.5.1"
+  POETRY_VERSION: "1.8.2"
 
 jobs:
-  if_release:
-    if: ${{ (github.event.pull_request.merged == true) && contains(github.event.pull_request.labels.*.name, 'pre-release') }}
+  release:
+    name: Release Langflow
+    if: inputs.release_package == true
     runs-on: ubuntu-latest
+    outputs:
+      version: ${{ steps.check-version.outputs.version }}
     steps:
       - uses: actions/checkout@v4
       - name: Install poetry
-        run: pipx install poetry==$POETRY_VERSION
+        run: pipx install poetry==${{ env.POETRY_VERSION }}
       - name: Set up Python 3.10
         uses: actions/setup-python@v5
         with:
           python-version: "3.10"
           cache: "poetry"
-      - name: Build project for distribution
-        run: make build
+      - name: Set up Nodejs 20
+        uses: actions/setup-node@v4
+        with:
+          node-version: "20"
       - name: Check Version
         id: check-version
         run: |
-          echo version=$(poetry version --short) >> $GITHUB_OUTPUT
+          if [ "${{ inputs.release_type }}" == "base" ]; then
+            version=$(cd src/backend/base && poetry version --short)
+            last_released_version=$(curl -s "https://pypi.org/pypi/langflow-base/json" | jq -r '.releases | keys | .[]' | sort -V | tail -n 1)
+          else
+            version=$(poetry version --short)
+            last_released_version=$(curl -s "https://pypi.org/pypi/langflow/json" | jq -r '.releases | keys | .[]' | sort -V | tail -n 1)
+          fi
+          if [ "$version" = "$last_released_version" ]; then
+            echo "Version $version is already released. Skipping release."
+            exit 1
+          else
+            echo version=$version >> $GITHUB_OUTPUT
+          fi
+      - name: Build project for distribution
+        run: |
+          if [ "${{ inputs.release_type }}" == "base" ]; then
+            make build base=true
+          else
+            make build main=true
+          fi
+      - name: Test CLI
+        run: |
+          if [ "${{ inputs.release_type }}" == "base" ]; then
+            python -m pip install src/backend/base/dist/*.whl
+          else
+            python -m pip install dist/*.whl
+          fi
+          python -m langflow run --host 127.0.0.1 --port 7860 &
+          SERVER_PID=$!
+          # Wait for the server to start
+          timeout 120 bash -c 'until curl -f http://127.0.0.1:7860/health; do sleep 2; done' || (echo "Server did not start in time" && kill $SERVER_PID && exit 1)
+          # Terminate the server
+          kill $SERVER_PID || (echo "Failed to terminate the server" && exit 1)
+          sleep 10 # give the server some time to terminate
+          # Check if the server is still running
+          if kill -0 $SERVER_PID 2>/dev/null; then
+            echo "Failed to terminate the server"
+            exit 1
+          else
+            echo "Server terminated successfully"
+          fi
+      - name: Publish to PyPI
+        env:
+          POETRY_PYPI_TOKEN_PYPI: ${{ secrets.PYPI_API_TOKEN }}
+        run: |
+          if [ "${{ inputs.release_type }}" == "base" ]; then
+            make publish base=true
+          else
+            make publish main=true
+          fi
+      - name: Upload Artifact
+        uses: actions/upload-artifact@v4
+        with:
+          name: dist${{ inputs.release_type }}
+          path: ${{ inputs.release_type == 'base' && 'src/backend/base/dist' || 'dist' }}
+
+  call_docker_build:
+    name: Call Docker Build Workflow
+    needs: release
+    uses: langflow-ai/langflow/.github/workflows/docker-build.yml@dev
+    with:
+      version: ${{ needs.release.outputs.version }}
+      release_type: ${{ inputs.release_type }}
+    secrets: inherit
+
+  create_release:
+    name: Create Release
+    runs-on: ubuntu-latest
+    needs: [release]
+    if: ${{ inputs.release_type == 'main' }}
+    steps:
+      - uses: actions/download-artifact@v4
+        with:
+          name: dist${{ inputs.release_type }}
+          path: dist
       - name: Create Release
         uses: ncipollo/release-action@v1
         with:
@@ -40,26 +125,5 @@ jobs:
           draft: false
           generateReleaseNotes: true
           prerelease: true
-          tag: v${{ steps.check-version.outputs.version }}
+          tag: v${{ needs.release.outputs.version }}
           commit: dev
-      - name: Publish to PyPI
-        env:
-          POETRY_PYPI_TOKEN_PYPI: ${{ secrets.PYPI_API_TOKEN }}
-        run: |
-          poetry publish
-      - name: Set up QEMU
-        uses: docker/setup-qemu-action@v3
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-      - name: Login to Docker Hub
-        uses: docker/login-action@v3
-        with:
-          username: ${{ secrets.DOCKERHUB_USERNAME }}
-          password: ${{ secrets.DOCKERHUB_TOKEN }}
-      - name: Build and push
-        uses: docker/build-push-action@v5
-        with:
-          context: .
-          push: true
-          file: ./build_and_push.Dockerfile
-          tags: logspace/langflow:${{ steps.check-version.outputs.version }}
diff --git a/.github/workflows/python_test.yml b/.github/workflows/python_test.yml
new file mode 100644
index 00000000000..9a8ef15c82d
--- /dev/null
+++ b/.github/workflows/python_test.yml
@@ -0,0 +1,45 @@
+name: test
+
+on:
+  push:
+    branches: [main]
+    paths:
+      - "poetry.lock"
+      - "pyproject.toml"
+      - "src/backend/**"
+  pull_request:
+    branches: [dev]
+    paths:
+      - "poetry.lock"
+      - "pyproject.toml"
+      - "src/backend/**"
+
+env:
+  POETRY_VERSION: "1.8.2"
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        python-version:
+          - "3.12"
+          - "3.11"
+          - "3.10"
+    env:
+      OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
+    steps:
+      - uses: actions/checkout@v4
+      - name: Set up Python ${{ matrix.python-version }} + Poetry ${{ env.POETRY_VERSION }}
+        uses: "./.github/actions/poetry_caching"
+        with:
+          python-version: ${{ matrix.python-version }}
+          poetry-version: ${{ env.POETRY_VERSION }}
+          cache-key: ${{ runner.os }}-poetry-${{ env.POETRY_VERSION }}-${{ hashFiles('**/poetry.lock') }}
+      - name: Install Python dependencies
+        run: |
+          poetry env use ${{ matrix.python-version }}
+          poetry install
+      - name: Run unit tests
+        run: |
+          make unit_tests args="-n auto"
diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml
index 21d8d27eb4d..a764c6cae38 100644
--- a/.github/workflows/release.yml
+++ b/.github/workflows/release.yml
@@ -1,36 +1,128 @@
-name: release
-
+name: Langflow Release
+run-name: Langflow (${{inputs.release_type}}) Release by @${{ github.actor }}
 on:
-  pull_request:
-    types:
-      - closed
-    branches:
-      - main
-    paths:
-      - "pyproject.toml"
+  workflow_dispatch:
+    inputs:
+      release_package:
+        description: "Release package"
+        required: true
+        type: boolean
+        default: false
+      release_type:
+        description: "Type of release (base or main)"
+        required: true
+        type: choice
+        options:
+          - base
+          - main
+      pre_release:
+        description: "Pre-release"
+        required: false
+        type: boolean
+        default: true
 
 env:
-  POETRY_VERSION: "1.5.1"
+  POETRY_VERSION: "1.8.2"
 
 jobs:
-  if_release:
-    if: ${{ (github.event.pull_request.merged == true) && contains(github.event.pull_request.labels.*.name, 'Release') }}
+  release:
+    name: Release Langflow
+    if: inputs.release_package == true
     runs-on: ubuntu-latest
+    outputs:
+      version: ${{ steps.check-version.outputs.version }}
     steps:
       - uses: actions/checkout@v4
       - name: Install poetry
-        run: pipx install poetry==$POETRY_VERSION
+        run: pipx install poetry==${{ env.POETRY_VERSION }}
       - name: Set up Python 3.10
         uses: actions/setup-python@v5
         with:
           python-version: "3.10"
           cache: "poetry"
-      - name: Build project for distribution
-        run: make build
+      - name: Set up Nodejs 20
+        uses: actions/setup-node@v4
+        with:
+          node-version: "20"
       - name: Check Version
         id: check-version
         run: |
-          echo version=$(poetry version --short) >> $GITHUB_OUTPUT
+          if [ "${{ inputs.release_type }}" == "base" ]; then
+            version=$(cd src/backend/base && poetry version --short)
+            last_released_version=$(curl -s "https://pypi.org/pypi/langflow-base/json" | jq -r '.releases | keys | .[]' | sort -V | tail -n 1)
+          else
+            version=$(poetry version --short)
+            last_released_version=$(curl -s "https://pypi.org/pypi/langflow/json" | jq -r '.releases | keys | .[]' | sort -V | tail -n 1)
+          fi
+          if [ "$version" = "$last_released_version" ]; then
+            echo "Version $version is already released. Skipping release."
+            exit 1
+          else
+            echo version=$version >> $GITHUB_OUTPUT
+          fi
+      - name: Build project for distribution
+        run: |
+          if [ "${{ inputs.release_type }}" == "base" ]; then
+            make build base=true
+          else
+            make build main=true
+          fi
+      - name: Test CLI
+        run: |
+          if [ "${{ inputs.release_type }}" == "base" ]; then
+            python -m pip install src/backend/base/dist/*.whl
+          else
+            python -m pip install dist/*.whl
+          fi
+          python -m langflow run --host 127.0.0.1 --port 7860 &
+          SERVER_PID=$!
+          # Wait for the server to start
+          timeout 120 bash -c 'until curl -f http://127.0.0.1:7860/health; do sleep 2; done' || (echo "Server did not start in time" && kill $SERVER_PID && exit 1)
+          # Terminate the server
+          kill $SERVER_PID || (echo "Failed to terminate the server" && exit 1)
+          sleep 10 # give the server some time to terminate
+          # Check if the server is still running
+          if kill -0 $SERVER_PID 2>/dev/null; then
+            echo "Failed to terminate the server"
+            exit 1
+          else
+            echo "Server terminated successfully"
+          fi
+      - name: Publish to PyPI
+        env:
+          POETRY_PYPI_TOKEN_PYPI: ${{ secrets.PYPI_API_TOKEN }}
+        run: |
+          if [ "${{ inputs.release_type }}" == "base" ]; then
+            make publish base=true
+          else
+            make publish main=true
+          fi
+      - name: Upload Artifact
+        uses: actions/upload-artifact@v4
+        with:
+          name: dist${{ inputs.release_type }}
+          path: ${{ inputs.release_type == 'base' && 'src/backend/base/dist' || 'dist' }}
+
+  call_docker_build:
+    name: Call Docker Build Workflow
+    needs: release
+    uses: langflow-ai/langflow/.github/workflows/docker-build.yml@main
+    with:
+      version: ${{ needs.release.outputs.version }}
+      release_type: ${{ inputs.release_type }}
+      pre_release: ${{ inputs.pre_release }}
+    secrets: inherit
+
+  create_release:
+    name: Create Release
+    runs-on: ubuntu-latest
+    needs: [release]
+    if: ${{ inputs.release_type == 'main' }}
+    steps:
+      - uses: actions/download-artifact@v4
+        with:
+          name: dist${{ inputs.release_type }}
+          path: dist
       - name: Create Release
         uses: ncipollo/release-action@v1
         with:
@@ -38,28 +130,6 @@ jobs:
           token: ${{ secrets.GITHUB_TOKEN }}
           draft: false
           generateReleaseNotes: true
-          tag: v${{ steps.check-version.outputs.version }}
-          commit: main
-      - name: Publish to PyPI
-        env:
-          POETRY_PYPI_TOKEN_PYPI: ${{ secrets.PYPI_API_TOKEN }}
-        run: |
-          poetry publish
-      - name: Set up QEMU
-        uses: docker/setup-qemu-action@v3
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-      - name: Login to Docker Hub
-        uses: docker/login-action@v3
-        with:
-          username: ${{ secrets.DOCKERHUB_USERNAME }}
-          password: ${{ secrets.DOCKERHUB_TOKEN }}
-      - name: Build and push
-        uses: docker/build-push-action@v5
-        with:
-          context: .
-          push: true
-          file: ./build_and_push.Dockerfile
-          tags: |
-            logspace/langflow:${{ steps.check-version.outputs.version }}
-            logspace/langflow:latest
+          prerelease: false
+          tag: v${{ needs.release.outputs.version }}
+          commit: dev
diff --git a/.github/workflows/style-check-py.yml b/.github/workflows/style-check-py.yml
new file mode 100644
index 00000000000..3255aa31d0d
--- /dev/null
+++ b/.github/workflows/style-check-py.yml
@@ -0,0 +1,46 @@
+name: Ruff Style Check
+
+on:
+  pull_request:
+    paths:
+      - "poetry.lock"
+      - "pyproject.toml"
+      - "src/backend/**"
+      - "tests/**"
+
+env:
+  POETRY_VERSION: "1.8.2"
+
+jobs:
+  lint:
+    name: Ruff Style Check
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        python-version:
+          - "3.12"
+    steps:
+      - uses: actions/checkout@v4
+      - name: Set up Python ${{ matrix.python-version }} + Poetry ${{ env.POETRY_VERSION }}
+        uses: "./.github/actions/poetry_caching"
+        with:
+          python-version: ${{ matrix.python-version }}
+          poetry-version: ${{ env.POETRY_VERSION }}
+          cache-key: ${{ runner.os }}-poetry-${{ env.POETRY_VERSION }}-${{ hashFiles('**/poetry.lock') }}
+      - name: Install Python dependencies
+        run: |
+          poetry env use ${{ matrix.python-version }}
+          poetry install
+      - name: Register problem matcher
+        run: echo "::add-matcher::.github/workflows/matchers/ruff.json"
+      - name: Run Ruff
+        run: poetry run ruff check --output-format=github .
+      - name: Run Ruff format
+        run: poetry run ruff format .
+      - name: Commit changes
+        uses: stefanzweifel/git-auto-commit-action@v5
+        with:
+          commit_message: Apply Ruff formatting
+          branch: ${{ github.head_ref }}
+
+
diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml
deleted file mode 100644
index 10ab9b32445..00000000000
--- a/.github/workflows/test.yml
+++ /dev/null
@@ -1,43 +0,0 @@
-name: test
-
-on:
-  push:
-    branches: [main]
-    paths:
-      - "poetry.lock"
-      - "pyproject.toml"
-      - "src/backend/**"
-  pull_request:
-    branches: [dev]
-    paths:
-      - "poetry.lock"
-      - "pyproject.toml"
-      - "src/backend/**"
-
-env:
-  POETRY_VERSION: "1.5.0"
-
-jobs:
-  build:
-    runs-on: ubuntu-latest
-    strategy:
-      matrix:
-        python-version:
-          - "3.10"
-          - "3.11"
-    env:
-      OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
-    steps:
-      - uses: actions/checkout@v4
-      - name: Install poetry
-        run: pipx install poetry==$POETRY_VERSION
-      - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v5
-        with:
-          python-version: ${{ matrix.python-version }}
-          cache: "poetry"
-      - name: Install dependencies
-        run: poetry install
-      - name: Run unit tests
-        run: |
-          make tests
diff --git a/.github/workflows/typescript_test.yml b/.github/workflows/typescript_test.yml
new file mode 100644
index 00000000000..be081bec6c2
--- /dev/null
+++ b/.github/workflows/typescript_test.yml
@@ -0,0 +1,130 @@
+name: Run Frontend Tests
+
+on:
+  pull_request:
+    paths:
+      - "src/frontend/**"
+
+env:
+  POETRY_VERSION: "1.8.2"
+  NODE_VERSION: "21"
+  PYTHON_VERSION: "3.12"
+  # Define the directory where Playwright browsers will be installed.
+  # Adjust if your project uses a different path.
+  PLAYWRIGHT_BROWSERS_PATH: "ms-playwright"
+
+jobs:
+  setup-and-test:
+    runs-on: ubuntu-latest
+    strategy:
+      fail-fast: false
+      matrix:
+        shardIndex: [1, 2, 3, 4]
+        shardTotal: [4]
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Setup Node.js
+        uses: actions/setup-node@v4
+        id: setup-node
+        with:
+          node-version: ${{ env.NODE_VERSION }}
+
+      - name: Cache Node.js dependencies
+        uses: actions/cache@v4
+        id: npm-cache
+        with:
+          path: ~/.npm
+          key: ${{ runner.os }}-node-${{ hashFiles('src/frontend/package-lock.json') }}
+          restore-keys: |
+            ${{ runner.os }}-node-
+
+      - name: Install Node.js dependencies
+        run: |
+          cd src/frontend
+          npm ci
+        if: ${{ steps.setup-node.outputs.cache-hit != 'true' }}
+
+      - name: Cache playwright binaries
+        uses: actions/cache@v4
+        id: playwright-cache
+        with:
+          path: |
+            ~/.cache/ms-playwright
+          key: ${{ runner.os }}-playwright-${{ hashFiles('src/frontend/package-lock.json') }}
+      - name: Install Frontend dependencies
+        run: |
+          cd src/frontend
+          npm ci
+
+      - name: Install Playwright's browser binaries
+        run: |
+          cd src/frontend
+          npx playwright install --with-deps
+        if: steps.playwright-cache.outputs.cache-hit != 'true'
+      - name: Install Playwright's dependencies
+        run: |
+          cd src/frontend
+          npx playwright install-deps
+        if: steps.playwright-cache.outputs.cache-hit != 'true'
+
+      - name: Set up Python ${{ env.PYTHON_VERSION }} + Poetry ${{ env.POETRY_VERSION }}
+        uses: "./.github/actions/poetry_caching"
+        with:
+          python-version: ${{ env.PYTHON_VERSION }}
+          poetry-version: ${{ env.POETRY_VERSION }}
+          cache-key: ${{ runner.os }}-poetry-${{ env.POETRY_VERSION }}-${{ hashFiles('**/poetry.lock') }}
+      - name: Install Python dependencies
+        run: |
+          poetry env use ${{ env.PYTHON_VERSION }}
+          poetry install
+
+      - name: create .env
+        run: |
+          touch .env
+          echo "${{ secrets.ENV_VARS }}" > .env
+
+      - name: Run Playwright Tests
+        run: |
+          cd src/frontend
+          npx playwright test --shard ${{ matrix.shardIndex }}/${{ matrix.shardTotal }} --workers 2
+
+      - name: Upload blob report to GitHub Actions Artifacts
+        if: always()
+        uses: actions/upload-artifact@v4
+        with:
+          name: blob-report-${{ matrix.shardIndex }}
+          path: src/frontend/blob-report
+          retention-days: 1
+
+  merge-reports:
+    needs: setup-and-test
+    runs-on: ubuntu-latest
+    if: always()
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Setup Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: ${{ env.NODE_VERSION }}
+
+      - name: Download blob reports from GitHub Actions Artifacts
+        uses: actions/download-artifact@v4
+        with:
+          path: all-blob-reports
+          pattern: blob-report-*
+          merge-multiple: true
+
+      - name: Merge into HTML Report
+        run: |
+          npx playwright merge-reports --reporter html ./all-blob-reports
+
+      - name: Upload HTML report
+        uses: actions/upload-artifact@v4
+        with:
+          name: html-report--attempt-${{ github.run_attempt }}
+          path: playwright-report
+          retention-days: 14
diff --git a/.gitignore b/.gitignore
index 7995b4739e8..e5ecbb32a49 100644
--- a/.gitignore
+++ b/.gitignore
@@ -180,6 +180,8 @@ coverage.xml
 local_settings.py
 db.sqlite3
 db.sqlite3-journal
+*.db-shm
+*.db-wal
 
 # Flask stuff:
 instance/
@@ -256,10 +258,6 @@ langflow.db
 # docusaurus
 .docusaurus/
 
-/tmp/*
-src/backend/langflow/frontend/
-.docker
-scratchpad*
 /tmp/*
 src/backend/langflow/frontend/
 src/backend/base/langflow/frontend/
@@ -267,4 +265,10 @@ src/backend/base/langflow/frontend/
 scratchpad*
 chroma*/*
 stuff/*
-src/frontend/playwright-report/index.html
\ No newline at end of file
+src/frontend/playwright-report/index.html
+*.bak
+prof/*
+
+src/frontend/temp
+*-shm
+*-wal
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
new file mode 100644
index 00000000000..16599a199c7
--- /dev/null
+++ b/.pre-commit-config.yaml
@@ -0,0 +1,14 @@
+fail_fast: true
+repos:
+  - repo: https://github.com/pre-commit/pre-commit-hooks
+    rev: v4.1.0
+    hooks:
+      - id: check-case-conflict
+      - id: end-of-file-fixer
+        # python, js and ts only
+        files: \.(py|js|ts)$
+      - id: mixed-line-ending
+        files: \.(py|js|ts)$
+        args:
+          - --fix=lf
+      - id: trailing-whitespace
diff --git a/.readthedocs.yaml b/.readthedocs.yaml
deleted file mode 100644
index 82dfe1f8598..00000000000
--- a/.readthedocs.yaml
+++ /dev/null
@@ -1,31 +0,0 @@
-# Read the Docs configuration file for Sphinx projects
-# See https://docs.readthedocs.io/en/stable/config-file/v2.html for details
-
-# Required
-version: 2
-
-# Set the OS, Python version and other tools you might need
-build:
-  os: ubuntu-22.04
-  tools:
-    python: "3.11"
-    # You can also specify other tool versions:
-    # nodejs: "19"
-    # rust: "1.64"
-    # golang: "1.19"
-
-# Build documentation in the "docs/" directory with Sphinx
-sphinx:
-   configuration: docs/conf.py
-
-# Optionally build your docs in additional formats such as PDF and ePub
-# formats:
-#    - pdf
-#    - epub
-
-# Optional but recommended, declare the Python requirements required
-# to build your documentation
-# See https://docs.readthedocs.io/en/stable/guides/reproducible-builds.html
-# python:
-#    install:
-#    - requirements: docs/requirements.txt
\ No newline at end of file
diff --git a/.vscode/launch.json b/.vscode/launch.json
index a8229b15561..a2a38dcba24 100644
--- a/.vscode/launch.json
+++ b/.vscode/launch.json
@@ -3,7 +3,7 @@
   "configurations": [
     {
       "name": "Debug Backend",
-      "type": "python",
+      "type": "debugpy",
       "request": "launch",
       "module": "uvicorn",
       "args": [
@@ -13,15 +13,39 @@
         "7860",
         "--reload",
         "--log-level",
-        "debug"
+        "debug",
+        "--loop",
+        "asyncio",
+        "--reload-include",
+        "src/backend/*"
       ],
       "jinja": true,
-      "justMyCode": true,
+      "justMyCode": false,
+      "env": {
+        "LANGFLOW_LOG_LEVEL": "debug"
+      },
+      "envFile": "${workspaceFolder}/.env"
+    },
+    {
+      "name": "Debug CLI",
+      "type": "debugpy",
+      "request": "launch",
+      "module": "langflow",
+      "args": [
+        "run",
+        "--path",
+        "${workspaceFolder}/src/backend/base/langflow/frontend"
+      ],
+      "jinja": true,
+      "justMyCode": false,
+      "env": {
+        "LANGFLOW_LOG_LEVEL": "debug"
+      },
       "envFile": "${workspaceFolder}/.env"
     },
     {
       "name": "Python: Remote Attach",
-      "type": "python",
+      "type": "debugpy",
       "request": "attach",
       "justMyCode": true,
       "connect": {
@@ -43,7 +67,7 @@
     },
     {
       "name": "Python: Debug Tests",
-      "type": "python",
+      "type": "debugpy",
       "request": "launch",
       "program": "${file}",
       "purpose": ["debug-test"],
diff --git a/CODE_OF_CONDUCT.md b/CODE_OF_CONDUCT.md
index 69376ded99f..a4f49057f74 100644
--- a/CODE_OF_CONDUCT.md
+++ b/CODE_OF_CONDUCT.md
@@ -5,7 +5,7 @@
 We as members, contributors, and leaders pledge to make participation in our
 community a harassment-free experience for everyone, regardless of age, body
 size, visible or invisible disability, ethnicity, sex characteristics, gender
-identity and expression, level of experience, education, socio-economic status,
+identity and expression, level of experience, education, socioeconomic status,
 nationality, personal appearance, race, religion, or sexual identity
 and orientation.
 
@@ -17,23 +17,23 @@ diverse, inclusive, and healthy community.
 Examples of behavior that contributes to a positive environment for our
 community include:
 
-* Demonstrating empathy and kindness toward other people
-* Being respectful of differing opinions, viewpoints, and experiences
-* Giving and gracefully accepting constructive feedback
-* Accepting responsibility and apologizing to those affected by our mistakes,
+- Demonstrating empathy and kindness toward other people
+- Being respectful of differing opinions, viewpoints, and experiences
+- Giving and gracefully accepting constructive feedback
+- Accepting responsibility and apologizing to those affected by our mistakes,
   and learning from the experience
-* Focusing on what is best not just for us as individuals, but for the
+- Focusing on what is best not just for us as individuals, but for the
   overall community
 
 Examples of unacceptable behavior include:
 
-* The use of sexualized language or imagery, and sexual attention or
+- The use of sexualized language or imagery, and sexual attention or
   advances of any kind
-* Trolling, insulting or derogatory comments, and personal or political attacks
-* Public or private harassment
-* Publishing others' private information, such as a physical or email
+- Trolling, insulting or derogatory comments, and personal or political attacks
+- Public or private harassment
+- Publishing others' private information, such as a physical or email
   address, without their explicit permission
-* Other conduct which could reasonably be considered inappropriate in a
+- Other conduct which could reasonably be considered inappropriate in a
   professional setting
 
 ## Enforcement Responsibilities
@@ -60,7 +60,7 @@ representative at an online or offline event.
 
 Instances of abusive, harassing, or otherwise unacceptable behavior may be
 reported to the community leaders responsible for enforcement at
-contact@logspace.ai.
+contact@langflow.org.
 All complaints will be reviewed and investigated promptly and fairly.
 
 All community leaders are obligated to respect the privacy and security of the
@@ -106,7 +106,7 @@ Violating these terms may lead to a permanent ban.
 ### 4. Permanent Ban
 
 **Community Impact**: Demonstrating a pattern of violation of community
-standards, including sustained inappropriate behavior,  harassment of an
+standards, including sustained inappropriate behavior, harassment of an
 individual, or aggression toward or disparagement of classes of individuals.
 
 **Consequence**: A permanent ban from any sort of public interaction within
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index c58bb92f18f..3fa42aa8ebf 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -7,6 +7,19 @@ to contributions, whether it be in the form of a new feature, improved infra, or
 To contribute to this project, please follow a ["fork and pull request"](https://docs.github.com/en/get-started/quickstart/contributing-to-projects) workflow.
 Please do not try to push directly to this repo unless you are a maintainer.
 
+## Linear History
+
+We strive to maintain a linear history in our git repository. This means that we do not accept merge commits in pull requests. To achieve this, we ask that you rebase your branch on top of the `dev` branch before opening a pull request. This can be done by running the following commands:
+
+```bash
+git checkout dev
+git pull
+git checkout <your-branch>
+git rebase dev
+# Fix any conflicts that arise
+git push --force-with-lease
+```
+
 The branch structure is as follows:
 
 - `main`: The stable version of Langflow
@@ -16,12 +29,12 @@ The branch structure is as follows:
 
 ## 🚩GitHub Issues
 
-Our [issues](https://github.com/logspace-ai/langflow/issues) page is kept up to date
+Our [issues](https://github.com/langflow-ai/langflow/issues) page is kept up to date
 with bugs, improvements, and feature requests. There is a taxonomy of labels to help
 with sorting and discovery of issues of interest.
 
 If you're looking for help with your code, consider posting a question on the
-[GitHub Discussions board](https://github.com/logspace-ai/langflow/discussions). Please
+[GitHub Discussions board](https://github.com/langflow-ai/langflow/discussions). Please
 understand that we won't be able to provide individual support via email. We
 also believe that help is much more valuable if it's **shared publicly**,
 so that more people can benefit from it.
@@ -40,7 +53,7 @@ so that more people can benefit from it.
 
 ## Issue labels
 
-[See this page](https://github.com/logspace-ai/langflow/labels) for an overview of
+[See this page](https://github.com/langflow-ai/langflow/labels) for an overview of
 the system we use to tag our issues and pull requests.
 
 ## Local development
diff --git a/GCP_DEPLOYMENT.md b/GCP_DEPLOYMENT.md
deleted file mode 100644
index e00e9b1f823..00000000000
--- a/GCP_DEPLOYMENT.md
+++ /dev/null
@@ -1,28 +0,0 @@
-# Run Langflow from a New Google Cloud Project
-
-This guide will help you set up a Langflow development VM in a Google Cloud Platform project using Google Cloud Shell.
-
-> **Note**: When Cloud Shell opens, be sure to select **Trust repo**. Some `gcloud` commands might not run in an ephemeral Cloud Shell environment.
-
-
-## Standard VM 
-[![Open in Cloud Shell](https://gstatic.com/cloudssh/images/open-btn.svg)](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/logspace-ai/langflow&working_dir=scripts&shellonly=true&tutorial=walkthroughtutorial.md)
-
-This script sets up a Debian-based VM with the Langflow package, Nginx, and the necessary configurations to run the Langflow Dev environment.
-<hr>
-
-## Spot/Preemptible Instance
-
-[![Open in Cloud Shell - Spot Instance](https://gstatic.com/cloudssh/images/open-btn.svg)](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/logspace-ai/langflow&working_dir=scripts&shellonly=true&tutorial=walkthroughtutorial_spot.md)
-
-When running as a [spot (preemptible) instance](https://cloud.google.com/compute/docs/instances/preemptible), the code and VM will behave the same way as in a regular instance, executing the startup script to configure the environment, install necessary dependencies, and run the Langflow application. However, **due to the nature of spot instances, the VM may be terminated at any time if Google Cloud needs to reclaim the resources**. This makes spot instances suitable for fault-tolerant, stateless, or interruptible workloads that can handle unexpected terminations and restarts.
-
-## Pricing (approximate)
-> For a more accurate breakdown of costs, please use the [**GCP Pricing Calculator**](https://cloud.google.com/products/calculator)
-<br>
-
-| Component      | Regular Cost (Hourly) | Regular Cost (Monthly) | Spot/Preemptible Cost (Hourly) | Spot/Preemptible Cost (Monthly) | Notes |
-| -------------- | --------------------- | ---------------------- | ------------------------------ | ------------------------------- | ----- |
-| 100 GB Disk    | -                     | $10/month              | -                              | $10/month                        | Disk cost remains the same for both regular and Spot/Preemptible VMs |
-| VM (n1-standard-4) | $0.15/hr        | ~$108/month            | ~$0.04/hr                      | ~$29/month                       | The VM cost can be significantly reduced using a Spot/Preemptible instance |
-| **Total**          | **$0.15/hr**         | **~$118/month**        | **~$0.04/hr**                  | **~$39/month**                  | Total costs for running the VM and disk 24/7 for an entire month |
diff --git a/LICENSE b/LICENSE
index ff98ca03ae9..ee3d6be71bd 100644
--- a/LICENSE
+++ b/LICENSE
@@ -1,6 +1,6 @@
 MIT License
 
-Copyright (c) 2023 Logspace
+Copyright (c) 2024 Langflow
 
 Permission is hereby granted, free of charge, to any person obtaining a copy
 of this software and associated documentation files (the "Software"), to deal
diff --git a/Makefile b/Makefile
index 7f0f998ae21..853fe61964f 100644
--- a/Makefile
+++ b/Makefile
@@ -1,111 +1,238 @@
 .PHONY: all init format lint build build_frontend install_frontend run_frontend run_backend dev help tests coverage
 
 all: help
+log_level ?= debug
+host ?= 0.0.0.0
+port ?= 7860
+env ?= .env
+open_browser ?= true
+path = src/backend/base/langflow/frontend
+workers ?= 1
+
+
+codespell:
+	@poetry install --with spelling
+	poetry run codespell --toml pyproject.toml
+
+
+fix_codespell:
+	@poetry install --with spelling
+	poetry run codespell --toml pyproject.toml --write
+
+
+setup_poetry:
+	pipx install poetry
+
+
+add:
+	@echo 'Adding dependencies'
+ifdef devel
+	cd src/backend/base && poetry add --group dev $(devel)
+endif
+
+ifdef main
+	poetry add $(main)
+endif
+
+ifdef base
+	cd src/backend/base && poetry add $(base)
+endif
+
 
 init:
-	@echo 'Installing pre-commit hooks'
-	git config core.hooksPath .githooks
-	@echo 'Making pre-commit hook executable'
-	chmod +x .githooks/pre-commit
 	@echo 'Installing backend dependencies'
 	make install_backend
 	@echo 'Installing frontend dependencies'
 	make install_frontend
 
-coverage:
+
+coverage: ## run the tests and generate a coverage report
 	poetry run pytest --cov \
 		--cov-config=.coveragerc \
 		--cov-report xml \
-		--cov-report term-missing:skip-covered
+		--cov-report term-missing:skip-covered \
+		--cov-report lcov:coverage/lcov-pytest.info
+
 
 # allow passing arguments to pytest
-tests:
-	@make install_backend
+unit_tests:
+	poetry run pytest --ignore=tests/integration --instafail -ra -n auto -m "not api_key_required" $(args)
+
 
-	poetry run pytest tests --instafail $(args)
-# Use like:
+integration_tests:
+	poetry run pytest tests/integration --instafail -ra -n auto $(args)
 
-format:
-	poetry run ruff . --fix
+format: ## run code formatters
+	poetry run ruff check . --fix
 	poetry run ruff format .
 	cd src/frontend && npm run format
 
-lint:
-	make install_backend
-	poetry run mypy src/backend/langflow
-	poetry run ruff . --fix
 
-install_frontend:
+lint: ## run linters
+	poetry run mypy --namespace-packages -p "langflow"
+
+
+install_frontend: ## install the frontend dependencies
 	cd src/frontend && npm install
 
+
+install_frontendci:
+	cd src/frontend && npm ci
+
+
 install_frontendc:
 	cd src/frontend && rm -rf node_modules package-lock.json && npm install
 
+
 run_frontend:
 	@-kill -9 `lsof -t -i:3000`
 	cd src/frontend && npm start
 
+
 tests_frontend:
 ifeq ($(UI), true)
-		cd src/frontend && ./run-tests.sh --ui
+		cd src/frontend && npx playwright test --ui --project=chromium
 else
-		cd src/frontend && ./run-tests.sh
+		cd src/frontend && npx playwright test --project=chromium
 endif
 
+
 run_cli:
-	poetry run langflow run --path src/frontend/build
+	@echo 'Running the CLI'
+	@make install_frontend > /dev/null
+	@echo 'Install backend dependencies'
+	@make install_backend > /dev/null
+	@echo 'Building the frontend'
+	@make build_frontend > /dev/null
+ifdef env
+	@make start env=$(env) host=$(host) port=$(port) log_level=$(log_level)
+else
+	@make start host=$(host) port=$(port) log_level=$(log_level)
+endif
+
 
 run_cli_debug:
-	poetry run langflow run --path src/frontend/build --log-level debug
+	@echo 'Running the CLI in debug mode'
+	@make install_frontend > /dev/null
+	@echo 'Building the frontend'
+	@make build_frontend > /dev/null
+	@echo 'Install backend dependencies'
+	@make install_backend > /dev/null
+ifdef env
+	@make start env=$(env) host=$(host) port=$(port) log_level=debug
+else
+	@make start host=$(host) port=$(port) log_level=debug
+endif
+
+
+start:
+	@echo 'Running the CLI'
+
+ifeq ($(open_browser),false)
+	@make install_backend && poetry run langflow run --path $(path) --log-level $(log_level) --host $(host) --port $(port) --env-file $(env) --no-open-browser
+else
+	@make install_backend && poetry run langflow run --path $(path) --log-level $(log_level) --host $(host) --port $(port) --env-file $(env)
+endif
+
 
 setup_devcontainer:
 	make init
 	make build_frontend
 	poetry run langflow --path src/frontend/build
 
-frontend:
+
+setup_env:
+	@sh ./scripts/setup/update_poetry.sh 1.8.2
+	@sh ./scripts/setup/setup_env.sh
+
+
+frontend: ## run the frontend in development mode
 	make install_frontend
 	make run_frontend
 
+
 frontendc:
 	make install_frontendc
 	make run_frontend
 
+
 install_backend:
-	poetry install --extras deploy
+	@echo 'Installing backend dependencies'
+	@poetry install
+	@poetry run pre-commit install
 
-backend:
+
+backend: ## run the backend in development mode
+	@echo 'Setting up the environment'
+	@make setup_env
 	make install_backend
-	@-kill -9 `lsof -t -i:7860`
-ifeq ($(login),1)
-	@echo "Running backend without autologin";
-	poetry run langflow run --backend-only --port 7860 --host 0.0.0.0 --no-open-browser --env-file .env
+	@-kill -9 $(lsof -t -i:7860)
+ifdef login
+	@echo "Running backend autologin is $(login)";
+	LANGFLOW_AUTO_LOGIN=$(login) poetry run uvicorn --factory langflow.main:create_app --host 0.0.0.0 --port 7860 --reload --env-file .env --loop asyncio --workers $(workers)
 else
-	@echo "Running backend with autologin";
-	LANGFLOW_AUTO_LOGIN=True poetry run langflow run --backend-only --port 7860 --host 0.0.0.0 --no-open-browser --env-file .env
+	@echo "Running backend respecting the .env file";
+	poetry run uvicorn --factory langflow.main:create_app --host 0.0.0.0 --port 7860 --reload --env-file .env  --loop asyncio --workers $(workers)
 endif
 
+
 build_and_run:
-	echo 'Removing dist folder'
+	@echo 'Removing dist folder'
+	@make setup_env
 	rm -rf dist
-	make build && poetry run pip install dist/*.tar.gz && poetry run langflow run
+	rm -rf src/backend/base/dist
+	make build
+	poetry run pip install dist/*.tar.gz
+	poetry run langflow run
+
 
 build_and_install:
-	echo 'Removing dist folder'
+	@echo 'Removing dist folder'
 	rm -rf dist
-	make build && poetry run pip install dist/*.tar.gz
+	rm -rf src/backend/base/dist
+	make build && poetry run pip install dist/*.whl && pip install src/backend/base/dist/*.whl --force-reinstall
+
 
-build_frontend:
+build_frontend: ## build the frontend static files
 	cd src/frontend && CI='' npm run build
-	cp -r src/frontend/build src/backend/langflow/frontend
+	rm -rf src/backend/base/langflow/frontend
+	cp -r src/frontend/build src/backend/base/langflow/frontend
 
-build:
-	make install_frontend
+
+build: ## build the frontend static files and package the project
+	@echo 'Building the project'
+	@make setup_env
+ifdef base
+	make install_frontendci
 	make build_frontend
-	poetry build --format sdist
-	rm -rf src/backend/langflow/frontend
+	make build_langflow_base
+endif
+
+ifdef main
+	make build_langflow
+endif
+
+
+build_langflow_base:
+	cd src/backend/base && poetry build
+	rm -rf src/backend/base/langflow/frontend
+
+
+build_langflow_backup:
+	poetry lock && poetry build
 
-dev:
+
+build_langflow:
+	cd ./scripts && poetry run python update_dependencies.py
+	poetry lock
+	poetry build
+ifdef restore
+	mv pyproject.toml.bak pyproject.toml
+	mv poetry.lock.bak poetry.lock
+endif
+
+
+dev: ## run the project in development mode with docker compose
 	make install_frontend
 ifeq ($(build),1)
 		@echo 'Running docker compose up with build'
@@ -115,21 +242,48 @@ else
 		docker compose $(if $(debug),-f docker-compose.debug.yml) up
 endif
 
-publish:
-	make build
+
+lock_base:
+	cd src/backend/base && poetry lock
+
+lock_langflow:
+	poetry lock
+
+
+lock:
+# Run both in parallel
+	@echo 'Locking dependencies'
+	cd src/backend/base && poetry lock
+	poetry lock
+
+update:
+	@echo 'Updating dependencies'
+	cd src/backend/base && poetry update
+	poetry update
+
+publish_base:
+	cd src/backend/base && poetry publish
+
+
+publish_langflow:
 	poetry publish
 
-help:
+
+publish: ## build the frontend static files and package the project and publish it to PyPI
+	@echo 'Publishing the project'
+ifdef base
+	make publish_base
+endif
+
+ifdef main
+	make publish_langflow
+endif
+
+
+help: ## show this help message
 	@echo '----'
-	@echo 'format              - run code formatters'
-	@echo 'lint                - run linters'
-	@echo 'install_frontend    - install the frontend dependencies'
-	@echo 'build_frontend      - build the frontend static files'
-	@echo 'run_frontend        - run the frontend in development mode'
-	@echo 'run_backend         - run the backend in development mode'
-	@echo 'build               - build the frontend static files and package the project'
-	@echo 'publish             - build the frontend static files and package the project and publish it to PyPI'
-	@echo 'dev                 - run the project in development mode with docker compose'
-	@echo 'tests               - run the tests'
-	@echo 'coverage            - run the tests and generate a coverage report'
+	@echo -e "$$(grep -hE '^\S+:.*##' $(MAKEFILE_LIST) | \
+	sed -e 's/:.*##\s*/:/' \
+	-e 's/^\(.\+\):\(.*\)/\\x1b[36mmake \1\\x1b[m:\2/' | \
+	column -c2 -t -s :']]')"
 	@echo '----'
diff --git a/README.PT.md b/README.PT.md
new file mode 100644
index 00000000000..6f7a936099d
--- /dev/null
+++ b/README.PT.md
@@ -0,0 +1,171 @@
+<!-- markdownlint-disable MD030 -->
+
+# [![Langflow](./docs/static/img/hero.png)](https://www.langflow.org)
+
+<p align="center"><strong>
+    Um framework visual para criar apps de agentes autônomos e RAG
+</strong></p>
+<p align="center" style="font-size: 12px;">
+    Open-source, construído em Python, totalmente personalizável, agnóstico em relação a modelos e databases
+</p>
+
+<p align="center" style="font-size: 12px;">
+    <a href="https://docs.langflow.org" style="text-decoration: underline;">Docs</a> -
+    <a href="https://discord.com/invite/EqksyE2EX9" style="text-decoration: underline;">Junte-se ao nosso Discord</a> -
+    <a href="https://twitter.com/langflow_ai" style="text-decoration: underline;">Siga-nos no X</a> -
+    <a href="https://huggingface.co/spaces/Langflow/Langflow-Preview" style="text-decoration: underline;">Demonstração</a>
+</p>
+
+<p align="center">
+    <a href="https://github.com/langflow-ai/langflow">
+        <img src="https://img.shields.io/github/stars/langflow-ai/langflow">
+    </a>
+    <a href="https://discord.com/invite/EqksyE2EX9">
+        <img src="https://img.shields.io/discord/1116803230643527710?label=Discord">
+    </a>
+</p>
+
+<div align="center">
+  <a href="./README.md"><img alt="README em Inglês" src="https://img.shields.io/badge/English-d9d9d9"></a>
+  <a href="./README.zh_CN.md"><img alt="README em Chinês Simplificado" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
+</div>
+
+<p align="center">
+  <img src="./docs/static/img/langflow_basic_howto.gif" alt="Seu GIF" style="border: 3px solid #211C43;">
+</p>
+
+# 📝 Conteúdo
+
+- [📝 Conteúdo](#-conteúdo)
+- [📦 Introdução](#-introdução)
+- [🎨 Criar Fluxos](#-criar-fluxos)
+- [Deploy](#deploy)
+  - [Deploy usando Google Cloud Platform](#deploy-usando-google-cloud-platform)
+  - [Deploy on Railway](#deploy-on-railway)
+  - [Deploy on Render](#deploy-on-render)
+- [🖥️ Interface de Linha de Comando (CLI)](#️-interface-de-linha-de-comando-cli)
+  - [Uso](#uso)
+    - [Variáveis de Ambiente](#variáveis-de-ambiente)
+- [👋 Contribuir](#-contribuir)
+- [🌟 Contribuidores](#-contribuidores)
+- [📄 Licença](#-licença)
+
+# 📦 Introdução
+
+Você pode instalar o Langflow com pip:
+
+```shell
+# Certifique-se de ter >=Python 3.10 instalado no seu sistema.
+# Instale a versão pré-lançamento (recomendada para as atualizações mais recentes)
+python -m pip install langflow --pre --force-reinstall
+
+# ou versão estável
+python -m pip install langflow -U
+```
+
+Então, execute o Langflow com:
+
+```shell
+python -m langflow run
+```
+
+Você também pode visualizar o Langflow no [HuggingFace Spaces](https://huggingface.co/spaces/Langflow/Langflow-Preview). [Clone o Space usando este link](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true) para criar seu próprio workspace do Langflow em minutos.
+
+# 🎨 Criar Fluxos
+
+Criar fluxos com Langflow é fácil. Basta arrastar componentes da barra lateral para o workspace e conectá-los para começar a construir sua aplicação.
+
+Explore editando os parâmetros do prompt, agrupando componentes e construindo seus próprios componentes personalizados (Custom Components).
+
+Quando terminar, você pode exportar seu fluxo como um arquivo JSON.
+
+Carregue o fluxo com:
+
+```python
+from langflow.load import run_flow_from_json
+
+results = run_flow_from_json("path/to/flow.json", input_value="Hello, World!")
+```
+
+# Deploy
+
+## Deploy usando Google Cloud Platform
+
+Siga nosso passo a passo para fazer deploy do Langflow no Google Cloud Platform (GCP) usando o Google Cloud Shell. O guia está disponível no documento [**Langflow on Google Cloud Platform**](https://github.com/langflow-ai/langflow/blob/dev/docs/docs/deployment/gcp-deployment.md).
+
+Alternativamente, clique no botão **"Open in Cloud Shell"** abaixo para iniciar o Google Cloud Shell, clonar o repositório do Langflow e começar um **tutorial interativo** que o guiará pelo processo de configuração dos recursos necessários e deploy do Langflow no seu projeto GCP.
+
+[![Open on Cloud Shell](https://gstatic.com/cloudssh/images/open-btn.svg)](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/langflow-ai/langflow&working_dir=scripts/gcp&shellonly=true&tutorial=walkthroughtutorial_spot.md)
+
+## Deploy on Railway
+
+Use este template para implantar o Langflow 1.0 Preview no Railway:
+
+[![Deploy 1.0 Preview on Railway](https://railway.app/button.svg)](https://railway.app/template/UsJ1uB?referralCode=MnPSdg)
+
+Ou este para implantar o Langflow 0.6.x:
+
+[![Deploy on Railway](https://railway.app/button.svg)](https://railway.app/template/JMXEWp?referralCode=MnPSdg)
+
+## Deploy on Render
+
+<a href="https://render.com/deploy?repo=https://github.com/langflow-ai/langflow/tree/dev">
+<img src="https://render.com/images/deploy-to-render-button.svg" alt="Deploy to Render" />
+</a>
+
+# 🖥️ Interface de Linha de Comando (CLI)
+
+O Langflow fornece uma interface de linha de comando (CLI) para fácil gerenciamento e configuração.
+
+## Uso
+
+Você pode executar o Langflow usando o seguinte comando:
+
+```shell
+langflow run [OPTIONS]
+```
+
+Cada opção é detalhada abaixo:
+
+- `--help`: Exibe todas as opções disponíveis.
+- `--host`: Define o host para vincular o servidor. Pode ser configurado usando a variável de ambiente `LANGFLOW_HOST`. O padrão é `127.0.0.1`.
+- `--workers`: Define o número de processos. Pode ser configurado usando a variável de ambiente `LANGFLOW_WORKERS`. O padrão é `1`.
+- `--timeout`: Define o tempo limite do worker em segundos. O padrão é `60`.
+- `--port`: Define a porta para escutar. Pode ser configurado usando a variável de ambiente `LANGFLOW_PORT`. O padrão é `7860`.
+- `--env-file`: Especifica o caminho para o arquivo .env contendo variáveis de ambiente. O padrão é `.env`.
+- `--log-level`: Define o nível de log. Pode ser configurado usando a variável de ambiente `LANGFLOW_LOG_LEVEL`. O padrão é `critical`.
+- `--components-path`: Especifica o caminho para o diretório contendo componentes personalizados. Pode ser configurado usando a variável de ambiente `LANGFLOW_COMPONENTS_PATH`. O padrão é `langflow/components`.
+- `--log-file`: Especifica o caminho para o arquivo de log. Pode ser configurado usando a variável de ambiente `LANGFLOW_LOG_FILE`. O padrão é `logs/langflow.log`.
+- `--cache`: Seleciona o tipo de cache a ser usado. As opções são `InMemoryCache` e `SQLiteCache`. Pode ser configurado usando a variável de ambiente `LANGFLOW_LANGCHAIN_CACHE`. O padrão é `SQLiteCache`.
+- `--dev/--no-dev`: Alterna o modo de desenvolvimento. O padrão é `no-dev`.
+- `--path`: Especifica o caminho para o diretório frontend contendo os arquivos de build. Esta opção é apenas para fins de desenvolvimento. Pode ser configurado usando a variável de ambiente `LANGFLOW_FRONTEND_PATH`.
+- `--open-browser/--no-open-browser`: Alterna a opção de abrir o navegador após iniciar o servidor. Pode ser configurado usando a variável de ambiente `LANGFLOW_OPEN_BROWSER`. O padrão é `open-browser`.
+- `--remove-api-keys/--no-remove-api-keys`: Alterna a opção de remover as chaves de API dos projetos salvos no banco de dados. Pode ser configurado usando a variável de ambiente `LANGFLOW_REMOVE_API_KEYS`. O padrão é `no-remove-api-keys`.
+- `--install-completion [bash|zsh|fish|powershell|pwsh]`: Instala a conclusão para o shell especificado.
+- `--show-completion [bash|zsh|fish|powershell|pwsh]`: Exibe a conclusão para o shell especificado, permitindo que você copie ou personalize a instalação.
+- `--backend-only`: Este parâmetro, com valor padrão `False`, permite executar apenas o servidor backend sem o frontend. Também pode ser configurado usando a variável de ambiente `LANGFLOW_BACKEND_ONLY`.
+- `--store`: Este parâmetro, com valor padrão `True`, ativa os recursos da loja, use `--no-store` para desativá-los. Pode ser configurado usando a variável de ambiente `LANGFLOW_STORE`.
+
+Esses parâmetros são importantes para usuários que precisam personalizar o comportamento do Langflow, especialmente em cenários de desenvolvimento ou deploy especializado.
+
+### Variáveis de Ambiente
+
+Você pode configurar muitas das opções de CLI usando variáveis de ambiente. Estas podem ser exportadas no seu sistema operacional ou adicionadas a um arquivo `.env` e carregadas usando a opção `--env-file`.
+
+Um arquivo de exemplo `.env` chamado `.env.example` está incluído no projeto. Copie este arquivo para um novo arquivo chamado `.env` e substitua os valores de exemplo pelas suas configurações reais. Se você estiver definindo valores tanto no seu sistema operacional quanto no arquivo `.env`, as configurações do `.env` terão precedência.
+
+# 👋 Contribuir
+
+Aceitamos contribuições de desenvolvedores de todos os níveis para nosso projeto open-source no GitHub. Se você deseja contribuir, por favor, confira nossas [diretrizes de contribuição](./CONTRIBUTING.md) e ajude a tornar o Langflow mais acessível.
+
+---
+
+[![Star History Chart](https://api.star-history.com/svg?repos=langflow-ai/langflow&type=Timeline)](https://star-history.com/#langflow-ai/langflow&Date)
+
+# 🌟 Contribuidores
+
+[![langflow contributors](https://contrib.rocks/image?repo=langflow-ai/langflow)](https://github.com/langflow-ai/langflow/graphs/contributors)
+
+# 📄 Licença
+
+O Langflow é lançado sob a licença MIT. Veja o arquivo [LICENSE](LICENSE) para detalhes.
diff --git a/README.md b/README.md
index 72bb7fcc688..765835b2504 100644
--- a/README.md
+++ b/README.md
@@ -1,68 +1,122 @@
 <!-- markdownlint-disable MD030 -->
 
-# ⛓️ Langflow
+# [![Langflow](./docs/static/img/hero.png)](https://www.langflow.org)
+
+<p align="center"><strong>
+    A visual framework for building multi-agent and RAG applications
+</strong></p>
+<p align="center" style="font-size: 12px;">
+    Open-source, Python-powered, fully customizable, LLM and vector store agnostic
+</p>
+
+<p align="center" style="font-size: 12px;">
+    <a href="https://docs.langflow.org" style="text-decoration: underline;">Docs</a> -
+    <a href="https://discord.com/invite/EqksyE2EX9" style="text-decoration: underline;">Join our Discord</a> -
+    <a href="https://twitter.com/langflow_ai" style="text-decoration: underline;">Follow us on X</a> -
+    <a href="https://huggingface.co/spaces/Langflow/Langflow-Preview" style="text-decoration: underline;">Live demo</a>
+</p>
+
+<p align="center">
+    <a href="https://github.com/langflow-ai/langflow">
+        <img src="https://img.shields.io/github/stars/langflow-ai/langflow">
+    </a>
+    <a href="https://discord.com/invite/EqksyE2EX9">
+        <img src="https://img.shields.io/discord/1116803230643527710?label=Discord">
+    </a>
+</p>
+
+<div align="center">
+  <a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
+  <a href="./README.PT.md"><img alt="README in Portuguese" src="https://img.shields.io/badge/Portuguese-d9d9d9"></a>
+  <a href="./README.zh_CN.md"><img alt="README in Simplified Chinese" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
+</div>
+
+<p align="center">
+  <img src="./docs/static/img/langflow_basic_howto.gif" alt="Your GIF" style="border: 3px solid #211C43;">
+</p>
+
+# 📝 Content
+
+- [📝 Content](#-content)
+- [📦 Get Started](#-get-started)
+- [🎨 Create Flows](#-create-flows)
+- [Deploy](#deploy)
+  - [Deploy Langflow on Google Cloud Platform](#deploy-langflow-on-google-cloud-platform)
+  - [Deploy on Railway](#deploy-on-railway)
+  - [Deploy on Render](#deploy-on-render)
+- [🖥️ Command Line Interface (CLI)](#️-command-line-interface-cli)
+  - [Usage](#usage)
+    - [Environment Variables](#environment-variables)
+- [👋 Contribute](#-contribute)
+- [🌟 Contributors](#-contributors)
+- [📄 License](#-license)
+
+# 📦 Get Started
+
+You can install Langflow with pip:
 
-<h3>Discover a simpler & smarter way to build around Foundation Models</h3>
+```shell
+# Make sure you have >=Python 3.10 installed on your system.
+# Install the pre-release version (recommended for the latest updates)
+python -m pip install langflow --pre --force-reinstall
 
-[![Release Notes](https://img.shields.io/github/release/logspace-ai/langflow)](https://github.com/logspace-ai/langflow/releases)
-[![Contributors](https://img.shields.io/github/contributors/logspace-ai/langflow)](https://github.com/logspace-ai/langflow/contributors)
-[![Last Commit](https://img.shields.io/github/last-commit/logspace-ai/langflow)](https://github.com/logspace-ai/langflow/last-commit)
-[![Open Issues](https://img.shields.io/github/issues-raw/logspace-ai/langflow)](https://github.com/logspace-ai/langflow/issues)
-[![LRepo-size](https://img.shields.io/github/repo-size/logspace-ai/langflow)](https://github.com/logspace-ai/langflow/repo-size)
-[![Open in Dev Containers](https://img.shields.io/static/v1?label=Dev%20Containers&message=Open&color=blue&logo=visualstudiocode)](https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://github.com/logspace-ai/langflow)
-[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
-[![GitHub star chart](https://img.shields.io/github/stars/logspace-ai/langflow?style=social)](https://star-history.com/#logspace-ai/langflow)
-[![GitHub fork](https://img.shields.io/github/forks/logspace-ai/langflow?style=social)](https://github.com/logspace-ai/langflow/fork)
-[![Twitter](https://img.shields.io/twitter/url/https/twitter.com/langflow_ai.svg?style=social&label=Follow%20%40langflow_ai)](https://twitter.com/langflow_ai)
-[![](https://dcbadge.vercel.app/api/server/EqksyE2EX9?compact=true&style=flat)](https://discord.com/invite/EqksyE2EX9)
-[![HuggingFace Spaces](https://huggingface.co/datasets/huggingface/badges/raw/main/open-in-hf-spaces-sm.svg)](https://huggingface.co/spaces/Logspace/Langflow)
-[![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://codespaces.new/logspace-ai/langflow)
+# or stable version
+python -m pip install langflow -U
+```
 
-The easiest way to create and customize your flow
+Then, run Langflow with:
 
-<a href="https://github.com/logspace-ai/langflow">
-<img width="100%" src="https://github.com/logspace-ai/langflow/blob/dev/docs/static/img/new_langflow_demo.gif"></a>
+```shell
+python -m langflow run
+```
 
-# 📦 Installation
+You can also preview Langflow in [HuggingFace Spaces](https://huggingface.co/spaces/Langflow/Langflow-Preview). [Clone the space using this link](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true) to create your own Langflow workspace in minutes.
 
-### <b>Locally</b>
+# 🎨 Create Flows
 
-You can install Langflow from pip:
+Creating flows with Langflow is easy. Simply drag components from the sidebar onto the workspace and connect them to start building your application.
 
-```shell
-# This installs the package without dependencies for local models
-pip install langflow
-```
+Explore by editing prompt parameters, grouping components into a single high-level component, and building your own Custom Components.
 
-To use local models (e.g llama-cpp-python) run:
+Once you’re done, you can export your flow as a JSON file.
 
-```shell
-pip install langflow[local]
+Load the flow with:
+
+```python
+from langflow.load import run_flow_from_json
+
+results = run_flow_from_json("path/to/flow.json", input_value="Hello, World!")
 ```
 
-This will install the following dependencies:
+# Deploy
 
-- [CTransformers](https://github.com/marella/ctransformers)
-- [llama-cpp-python](https://github.com/abetlen/llama-cpp-python)
-- [sentence-transformers](https://github.com/UKPLab/sentence-transformers)
+## Deploy Langflow on Google Cloud Platform
 
-You can still use models from projects like LocalAI, Ollama, LM Studio, Jan and others.
+Follow our step-by-step guide to deploy Langflow on Google Cloud Platform (GCP) using Google Cloud Shell. The guide is available in the [**Langflow in Google Cloud Platform**](https://github.com/langflow-ai/langflow/blob/dev/docs/docs/deployment/gcp-deployment.md) document.
 
-Next, run:
+Alternatively, click the **"Open in Cloud Shell"** button below to launch Google Cloud Shell, clone the Langflow repository, and start an **interactive tutorial** that will guide you through the process of setting up the necessary resources and deploying Langflow on your GCP project.
 
-```shell
-python -m langflow
-```
+[![Open in Cloud Shell](https://gstatic.com/cloudssh/images/open-btn.svg)](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/langflow-ai/langflow&working_dir=scripts/gcp&shellonly=true&tutorial=walkthroughtutorial_spot.md)
 
-or
+## Deploy on Railway
 
-```shell
-langflow run # or langflow --help
-```
+Use this template to deploy Langflow 1.0 Preview on Railway:
+
+[![Deploy 1.0 Preview on Railway](https://railway.app/button.svg)](https://railway.app/template/UsJ1uB?referralCode=MnPSdg)
+
+Or this one to deploy Langflow 0.6.x:
+
+[![Deploy on Railway](https://railway.app/button.svg)](https://railway.app/template/JMXEWp?referralCode=MnPSdg)
+
+## Deploy on Render
+
+<a href="https://render.com/deploy?repo=https://github.com/langflow-ai/langflow/tree/dev">
+<img src="https://render.com/images/deploy-to-render-button.svg" alt="Deploy to Render" />
+</a>
 
-### HuggingFace Spaces
+## Deploy on Kubernetes
 
-You can also check it out on [HuggingFace Spaces](https://huggingface.co/spaces/Logspace/Langflow) and run it in your browser! You can even clone it and have your own copy of Langflow to play with.
+Follow our step-by-step guide to deploy [Langflow on Kubernetes](https://github.com/langflow-ai/langflow/blob/dev/docs/docs/deployment/kubernetes.md).
 
 # 🖥️ Command Line Interface (CLI)
 
@@ -83,7 +137,6 @@ Each option is detailed below:
 - `--workers`: Sets the number of worker processes. Can be set using the `LANGFLOW_WORKERS` environment variable. The default is `1`.
 - `--timeout`: Sets the worker timeout in seconds. The default is `60`.
 - `--port`: Sets the port to listen on. Can be set using the `LANGFLOW_PORT` environment variable. The default is `7860`.
-- `--config`: Defines the path to the configuration file. The default is `config.yaml`.
 - `--env-file`: Specifies the path to the .env file containing environment variables. The default is `.env`.
 - `--log-level`: Defines the logging level. Can be set using the `LANGFLOW_LOG_LEVEL` environment variable. The default is `critical`.
 - `--components-path`: Specifies the path to the directory containing custom components. Can be set using the `LANGFLOW_COMPONENTS_PATH` environment variable. The default is `langflow/components`.
@@ -106,58 +159,18 @@ You can configure many of the CLI options using environment variables. These can
 
 A sample `.env` file named `.env.example` is included with the project. Copy this file to a new file named `.env` and replace the example values with your actual settings. If you're setting values in both your OS and the `.env` file, the `.env` settings will take precedence.
 
-# Deployment
-
-## Deploy Langflow on Google Cloud Platform
-
-Follow our step-by-step guide to deploy Langflow on Google Cloud Platform (GCP) using Google Cloud Shell. The guide is available in the [**Langflow in Google Cloud Platform**](GCP_DEPLOYMENT.md) document.
-
-Alternatively, click the **"Open in Cloud Shell"** button below to launch Google Cloud Shell, clone the Langflow repository, and start an **interactive tutorial** that will guide you through the process of setting up the necessary resources and deploying Langflow on your GCP project.
-
-[![Open in Cloud Shell](https://gstatic.com/cloudssh/images/open-btn.svg)](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/logspace-ai/langflow&working_dir=scripts/gcp&shellonly=true&tutorial=walkthroughtutorial_spot.md)
-
-## Deploy on Railway
-
-[![Deploy on Railway](https://railway.app/button.svg)](https://railway.app/template/JMXEWp?referralCode=MnPSdg)
-
-## Deploy on Render
-
-<a href="https://render.com/deploy?repo=https://github.com/logspace-ai/langflow/tree/main">
-<img src="https://render.com/images/deploy-to-render-button.svg" alt="Deploy to Render" />
-</a>
-
-# 🎨 Creating Flows
-
-Creating flows with Langflow is easy. Simply drag components from the sidebar onto the canvas and connect them to start building your application.
-
-Explore by editing prompt parameters, grouping components into a single high-level component, and building your own Custom Components.
-
-Once you’re done, you can export your flow as a JSON file.
-
-Load the flow with:
-
-```python
-from langflow import load_flow_from_json
-
-flow = load_flow_from_json("path/to/flow.json")
-# Now you can use it
-flow("Hey, have you heard of Langflow?")
-```
-
-# 👋 Contributing
+# 👋 Contribute
 
 We welcome contributions from developers of all levels to our open-source project on GitHub. If you'd like to contribute, please check our [contributing guidelines](./CONTRIBUTING.md) and help make Langflow more accessible.
 
-Join our [Discord](https://discord.com/invite/EqksyE2EX9) server to ask questions, make suggestions, and showcase your projects! 🦾
-
 ---
 
-[![Star History Chart](https://api.star-history.com/svg?repos=logspace-ai/langflow&type=Timeline)](https://star-history.com/#logspace-ai/langflow&Date)
+[![Star History Chart](https://api.star-history.com/svg?repos=langflow-ai/langflow&type=Timeline)](https://star-history.com/#langflow-ai/langflow&Date)
 
 # 🌟 Contributors
 
-[![langflow contributors](https://contrib.rocks/image?repo=logspace-ai/langflow)](https://github.com/logspace-ai/langflow/graphs/contributors)
+[![langflow contributors](https://contrib.rocks/image?repo=langflow-ai/langflow)](https://github.com/langflow-ai/langflow/graphs/contributors)
 
 # 📄 License
 
-Langflow is released under the MIT License. See the LICENSE file for details.
+Langflow is released under the MIT License. See the [LICENSE](LICENSE) file for details.
diff --git a/README.zh_CN.md b/README.zh_CN.md
new file mode 100644
index 00000000000..fee76490292
--- /dev/null
+++ b/README.zh_CN.md
@@ -0,0 +1,172 @@
+<!-- markdownlint-disable MD030 -->
+
+# [![Langflow](./docs/static/img/hero.png)](https://www.langflow.org)
+
+<p align="center"><strong>
+    一种用于构建多智能体和RAG应用的可视化框架
+</strong></p>
+<p align="center" style="font-size: 12px;">
+    开源、Python驱动、完全可定制、大模型且不依赖于特定的向量存储
+</p>
+
+<p align="center" style="font-size: 12px;">
+    <a href="https://docs.langflow.org" style="text-decoration: underline;">文档</a> -
+    <a href="https://discord.com/invite/EqksyE2EX9" style="text-decoration: underline;">加入我们的Discord社区</a> -
+    <a href="https://twitter.com/langflow_ai" style="text-decoration: underline;">在X上关注我们</a> -
+    <a href="https://huggingface.co/spaces/Langflow/Langflow-Preview" style="text-decoration: underline;">在线体验</a>
+</p>
+
+<p align="center">
+    <a href="https://github.com/langflow-ai/langflow">
+        <img src="https://img.shields.io/github/stars/langflow-ai/langflow">
+    </a>
+    <a href="https://discord.com/invite/EqksyE2EX9">
+        <img src="https://img.shields.io/discord/1116803230643527710?label=Discord">
+    </a>
+</p>
+
+<div align="center">
+  <a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/英文-d9d9d9"></a>
+  <a href="./README.zh_CN.md"><img alt="README in Simplified Chinese" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
+</div>
+
+<p align="center">
+  <img src="./docs/static/img/langflow_basic_howto.gif" alt="Your GIF" style="border: 3px solid #211C43;">
+</p>
+
+# 📝 目录
+
+- [📝 目录](#-目录)
+- [📦 快速开始](#-快速开始)
+- [🎨 创建工作流](#-创建工作流)
+- [部署](#部署)
+  - [在Google Cloud Platform上部署Langflow](#在google-cloud-platform上部署langflow)
+  - [在Railway上部署](#在railway上部署)
+  - [在Render上部署](#在render上部署)
+- [🖥️ 命令行界面 (CLI)](#️-命令行界面-cli)
+  - [用法](#用法)
+    - [环境变量](#环境变量)
+- [👋 贡献](#-贡献)
+- [🌟 贡献者](#-贡献者)
+- [📄 许可证](#-许可证)
+
+# 📦 快速开始
+
+使用 pip 安装 Langflow：
+
+```shell
+# 确保您的系统已经安装上>=Python 3.10
+# 安装Langflow预发布版本
+python -m pip install langflow --pre --force-reinstall
+
+# 安装Langflow稳定版本
+python -m pip install langflow -U
+```
+
+然后运行Langflow：
+
+```shell
+python -m langflow run
+```
+
+您可以在[HuggingFace Spaces](https://huggingface.co/spaces/Langflow/Langflow-Preview)中在线体验 Langflow，也可以使用该链接[克隆空间](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true)，在几分钟内创建您自己的 Langflow 运行工作空间。
+
+# 🎨 创建工作流
+
+使用 Langflow 来创建工作流非常简单。只需从侧边栏拖动组件到画布上，然后连接组件即可开始构建应用程序。
+
+您可以通过编辑提示参数、将组件分组到单个高级组件中以及构建您自己的自定义组件来展开探索。
+
+完成后，可以将工作流导出为 JSON 文件。
+
+然后使用以下脚本加载工作流：
+
+```python
+from langflow.load import run_flow_from_json
+
+results = run_flow_from_json("path/to/flow.json", input_value="Hello, World!")
+```
+
+# 部署
+
+## 在Google Cloud Platform上部署Langflow
+
+请按照我们的分步指南使用 Google Cloud Shell 在 Google Cloud Platform (GCP) 上部署 Langflow。该指南在 [**Langflow in Google Cloud Platform**](GCP_DEPLOYMENT.md) 文档中提供。
+
+或者，点击下面的 "Open in Cloud Shell" 按钮，启动 Google Cloud Shell，克隆 Langflow 仓库，并开始一个互动教程，该教程将指导您设置必要的资源并在 GCP 项目中部署 Langflow。
+
+[![Open in Cloud Shell](https://gstatic.com/cloudssh/images/open-btn.svg)](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/langflow-ai/langflow&working_dir=scripts/gcp&shellonly=true&tutorial=walkthroughtutorial_spot.md)
+
+## 在Railway上部署
+
+使用此模板在 Railway 上部署 Langflow 1.0 预览版：
+
+[![Deploy 1.0 Preview on Railway](https://railway.app/button.svg)](https://railway.app/template/UsJ1uB?referralCode=MnPSdg)
+
+或者使用此模板部署 Langflow 0.6.x：
+
+[![Deploy on Railway](https://railway.app/button.svg)](https://railway.app/template/JMXEWp?referralCode=MnPSdg)
+
+## 在Render上部署
+
+<a href="https://render.com/deploy?repo=https://github.com/langflow-ai/langflow/tree/dev">
+<img src="https://render.com/images/deploy-to-render-button.svg" alt="Deploy to Render" />
+</a>
+
+# 🖥️ 命令行界面 (CLI)
+
+Langflow提供了一个命令行界面以便于平台的管理和配置。
+
+## 用法
+
+您可以使用以下命令运行Langflow：
+
+```shell
+langflow run [OPTIONS]
+```
+
+命令行参数的详细说明：
+
+- `--help`: 显示所有可用参数。
+- `--host`: 定义绑定服务器的主机host参数，可以使用 LANGFLOW_HOST 环境变量设置，默认值为 127.0.0.1。
+- `--workers`: 设置工作进程的数量，可以使用 LANGFLOW_WORKERS 环境变量设置，默认值为 1。
+- `--timeout`: 设置工作进程的超时时间（秒），默认值为 60。
+- `--port`: 设置服务监听的端口，可以使用 LANGFLOW_PORT 环境变量设置，默认值为 7860。
+- `--config`: 定义配置文件的路径，默认值为 config.yaml。
+- `--env-file`: 指定包含环境变量的 .env 文件路径，默认值为 .env。
+- `--log-level`: 定义日志记录级别，可以使用 LANGFLOW_LOG_LEVEL 环境变量设置，默认值为 critical。
+- `--components-path`: 指定包含自定义组件的目录路径，可以使用 LANGFLOW_COMPONENTS_PATH 环境变量设置，默认值为 langflow/components。
+- `--log-file`: 指定日志文件的路径，可以使用 LANGFLOW_LOG_FILE 环境变量设置，默认值为 logs/langflow.log。
+- `--cache`: 选择要使用的缓存类型，可选项为 InMemoryCache 和 SQLiteCache，可以使用 LANGFLOW_LANGCHAIN_CACHE 环境变量设置，默认值为 SQLiteCache。
+- `--dev/--no-dev`: 切换开发/非开发模式，默认值为 no-dev即非开发模式。
+- `--path`: 指定包含前端构建文件的目录路径，此参数仅用于开发目的，可以使用 LANGFLOW_FRONTEND_PATH 环境变量设置。
+- `--open-browser/--no-open-browser`: 切换启动服务器后是否打开浏览器，可以使用 LANGFLOW_OPEN_BROWSER 环境变量设置，默认值为 open-browser即启动后打开浏览器。
+- `--remove-api-keys/--no-remove-api-keys`: 切换是否从数据库中保存的项目中移除 API 密钥，可以使用 LANGFLOW_REMOVE_API_KEYS 环境变量设置，默认值为 no-remove-api-keys。
+- `--install-completion [bash|zsh|fish|powershell|pwsh]`: 为指定的 shell 安装自动补全。
+- `--show-completion [bash|zsh|fish|powershell|pwsh]`: 显示指定 shell 的自动补全，使您可以复制或自定义安装。
+- `--backend-only`: 此参数默认为 False，允许仅运行后端服务器而不运行前端，也可以使用 LANGFLOW_BACKEND_ONLY 环境变量设置。
+- `--store`: 此参数默认为 True，启用存储功能，使用 --no-store 可禁用它，可以使用 LANGFLOW_STORE 环境变量配置。
+
+这些参数对于需要定制 Langflow 行为的用户尤其重要，特别是在开发或者特殊部署场景中。
+
+### 环境变量
+
+您可以使用环境变量配置许多 CLI 参数选项。这些变量可以在操作系统中导出，或添加到 .env 文件中，并使用 --env-file 参数加载。
+
+项目中包含一个名为 .env.example 的示例 .env 文件。将此文件复制为新文件 .env，并用实际设置值替换示例值。如果同时在操作系统和 .env 文件中设置值，则 .env 设置优先。
+
+# 👋 贡献
+
+我们欢迎各级开发者为我们的 GitHub 开源项目做出贡献，并帮助 Langflow 更加易用，如果您想参与贡献，请查看我们的贡献指南 [contributing guidelines](./CONTRIBUTING.md) 。
+
+---
+
+[![Star History Chart](https://api.star-history.com/svg?repos=langflow-ai/langflow&type=Timeline)](https://star-history.com/#langflow-ai/langflow&Date)
+
+# 🌟 贡献者
+
+[![langflow contributors](https://contrib.rocks/image?repo=langflow-ai/langflow)](https://github.com/langflow-ai/langflow/graphs/contributors)
+
+# 📄 许可证
+
+Langflow 以 MIT 许可证发布。有关详细信息，请参阅 [LICENSE](LICENSE) 文件。
diff --git a/base.Dockerfile b/base.Dockerfile
deleted file mode 100644
index 2293c35dd02..00000000000
--- a/base.Dockerfile
+++ /dev/null
@@ -1,97 +0,0 @@
-
-
-# syntax=docker/dockerfile:1
-# Keep this syntax directive! It's used to enable Docker BuildKit
-
-# Based on https://github.com/python-poetry/poetry/discussions/1879?sort=top#discussioncomment-216865
-# but I try to keep it updated (see history)
-
-################################
-# PYTHON-BASE
-# Sets up all our shared environment variables
-################################
-FROM python:3.10-slim as python-base
-
-# python
-ENV PYTHONUNBUFFERED=1 \
-    # prevents python creating .pyc files
-    PYTHONDONTWRITEBYTECODE=1 \
-    \
-    # pip
-    PIP_DISABLE_PIP_VERSION_CHECK=on \
-    PIP_DEFAULT_TIMEOUT=100 \
-    \
-    # poetry
-    # https://python-poetry.org/docs/configuration/#using-environment-variables
-    POETRY_VERSION=1.7.1 \
-    # make poetry install to this location
-    POETRY_HOME="/opt/poetry" \
-    # make poetry create the virtual environment in the project's root
-    # it gets named `.venv`
-    POETRY_VIRTUALENVS_IN_PROJECT=true \
-    # do not ask any interactive question
-    POETRY_NO_INTERACTION=1 \
-    \
-    # paths
-    # this is where our requirements + virtual environment will live
-    PYSETUP_PATH="/opt/pysetup" \
-    VENV_PATH="/opt/pysetup/.venv"
-
-
-# prepend poetry and venv to path
-ENV PATH="$POETRY_HOME/bin:$VENV_PATH/bin:$PATH"
-
-
-################################
-# BUILDER-BASE
-# Used to build deps + create our virtual environment
-################################
-FROM python-base as builder-base
-RUN apt-get update \
-    && apt-get install --no-install-recommends -y \
-    # deps for installing poetry
-    curl \
-    # deps for building python deps
-    build-essential
-
-
-# install poetry - respects $POETRY_VERSION & $POETRY_HOME
-# The --mount will mount the buildx cache directory to where
-# Poetry and Pip store their cache so that they can re-use it
-RUN --mount=type=cache,target=/root/.cache \
-    curl -sSL https://install.python-poetry.org | python3 -
-
-# copy project requirement files here to ensure they will be cached.
-WORKDIR $PYSETUP_PATH
-COPY poetry.lock pyproject.toml ./
-COPY ./src/backend/langflow/main.py ./src/backend/langflow/main.py
-# Copy README.md to the build context
-COPY README.md .
-# install runtime deps - uses $POETRY_VIRTUALENVS_IN_PROJECT internally
-RUN --mount=type=cache,target=/root/.cache \
-    poetry install --without dev --extras deploy
-
-
-################################
-# DEVELOPMENT
-# Image used during development / testing
-################################
-FROM python-base as development
-WORKDIR $PYSETUP_PATH
-
-# copy in our built poetry + venv
-COPY --from=builder-base $POETRY_HOME $POETRY_HOME
-COPY --from=builder-base $PYSETUP_PATH $PYSETUP_PATH
-
-# Copy just one file to avoid rebuilding the whole image
-COPY ./src/backend/langflow/__init__.py ./src/backend/langflow/__init__.py
-# quicker install as runtime deps are already installed
-RUN --mount=type=cache,target=/root/.cache \
-    poetry install --with=dev --extras deploy
-
-# copy in our app code
-COPY ./src/backend ./src/backend
-RUN --mount=type=cache,target=/root/.cache \
-    poetry install --with=dev --extras deploy
-COPY ./tests ./tests=
-
diff --git a/build_and_push.Dockerfile b/build_and_push.Dockerfile
deleted file mode 100644
index f296d83aab7..00000000000
--- a/build_and_push.Dockerfile
+++ /dev/null
@@ -1,79 +0,0 @@
-
-
-# syntax=docker/dockerfile:1
-# Keep this syntax directive! It's used to enable Docker BuildKit
-
-# Based on https://github.com/python-poetry/poetry/discussions/1879?sort=top#discussioncomment-216865
-# but I try to keep it updated (see history)
-
-################################
-# PYTHON-BASE
-# Sets up all our shared environment variables
-################################
-FROM python:3.10-slim as python-base
-
-# python
-ENV PYTHONUNBUFFERED=1 \
-    # prevents python creating .pyc files
-    PYTHONDONTWRITEBYTECODE=1 \
-    \
-    # pip
-    PIP_DISABLE_PIP_VERSION_CHECK=on \
-    PIP_DEFAULT_TIMEOUT=100 \
-    \
-    # poetry
-    # https://python-poetry.org/docs/configuration/#using-environment-variables
-    POETRY_VERSION=1.7.1 \
-    # make poetry install to this location
-    POETRY_HOME="/opt/poetry" \
-    # make poetry create the virtual environment in the project's root
-    # it gets named `.venv`
-    POETRY_VIRTUALENVS_IN_PROJECT=true \
-    # do not ask any interactive question
-    POETRY_NO_INTERACTION=1 \
-    \
-    # paths
-    # this is where our requirements + virtual environment will live
-    PYSETUP_PATH="/opt/pysetup" \
-    VENV_PATH="/opt/pysetup/.venv"
-
-
-# prepend poetry and venv to path
-ENV PATH="$POETRY_HOME/bin:$VENV_PATH/bin:$PATH"
-
-
-################################
-# BUILDER-BASE
-# Used to build deps + create our virtual environment
-################################
-FROM python-base as builder-base
-RUN
-RUN apt-get update \
-    && apt-get install --no-install-recommends -y \
-    # deps for installing poetry
-    curl \
-    # deps for building python deps
-    build-essential \
-    # npm
-    npm
-
-
-# Now we need to copy the entire project into the image
-WORKDIR /app
-COPY pyproject.toml poetry.lock ./
-COPY src ./src
-COPY Makefile ./
-COPY README.md ./
-RUN curl -sSL https://install.python-poetry.org | python3 - && make build
-
-# Final stage for the application
-FROM python-base as final
-
-# Copy virtual environment and built .tar.gz from builder base
-COPY --from=builder-base /app/dist/*.tar.gz ./
-
-# Install the package from the .tar.gz
-RUN pip install *.tar.gz
-
-WORKDIR /app
-CMD ["python", "-m", "langflow", "run", "--host", "0.0.0.0", "--port", "7860"]
diff --git a/container-cmd-cdk.sh b/container-cmd-cdk.sh
deleted file mode 100644
index 383dffb6be6..00000000000
--- a/container-cmd-cdk.sh
+++ /dev/null
@@ -1,5 +0,0 @@
-export LANGFLOW_DATABASE_URL="mysql+pymysql://${username}:${password}@${host}:3306/${dbname}"
-# echo $LANGFLOW_DATABASE_URL
-uvicorn --factory src.backend.langflow.main:create_app --host 0.0.0.0 --port 7860 --reload --log-level debug
-
-# python -m langflow run --host 0.0.0.0 --port 7860
\ No newline at end of file
diff --git a/deploy/base.Dockerfile b/deploy/base.Dockerfile
deleted file mode 100644
index 323663283f8..00000000000
--- a/deploy/base.Dockerfile
+++ /dev/null
@@ -1,92 +0,0 @@
-
-
-# syntax=docker/dockerfile:1
-# Keep this syntax directive! It's used to enable Docker BuildKit
-
-# Based on https://github.com/python-poetry/poetry/discussions/1879?sort=top#discussioncomment-216865
-# but I try to keep it updated (see history)
-
-################################
-# PYTHON-BASE
-# Sets up all our shared environment variables
-################################
-FROM python:3.10-slim as python-base
-
-# python
-ENV PYTHONUNBUFFERED=1 \
-    # prevents python creating .pyc files
-    PYTHONDONTWRITEBYTECODE=1 \
-    \
-    # pip
-    PIP_DISABLE_PIP_VERSION_CHECK=on \
-    PIP_DEFAULT_TIMEOUT=100 \
-    \
-    # poetry
-    # https://python-poetry.org/docs/configuration/#using-environment-variables
-    POETRY_VERSION=1.5.1 \
-    # make poetry install to this location
-    POETRY_HOME="/opt/poetry" \
-    # make poetry create the virtual environment in the project's root
-    # it gets named `.venv`
-    POETRY_VIRTUALENVS_IN_PROJECT=true \
-    # do not ask any interactive question
-    POETRY_NO_INTERACTION=1 \
-    \
-    # paths
-    # this is where our requirements + virtual environment will live
-    PYSETUP_PATH="/opt/pysetup" \
-    VENV_PATH="/opt/pysetup/.venv"
-
-
-# prepend poetry and venv to path
-ENV PATH="$POETRY_HOME/bin:$VENV_PATH/bin:$PATH"
-
-
-################################
-# BUILDER-BASE
-# Used to build deps + create our virtual environment
-################################
-FROM python-base as builder-base
-RUN apt-get update \
-    && apt-get install --no-install-recommends -y \
-    # deps for installing poetry
-    curl \
-    # deps for building python deps
-    build-essential
-
-# install poetry - respects $POETRY_VERSION & $POETRY_HOME
-# The --mount will mount the buildx cache directory to where
-# Poetry and Pip store their cache so that they can re-use it
-RUN --mount=type=cache,target=/root/.cache \
-    curl -sSL https://install.python-poetry.org | python3 -
-
-# copy project requirement files here to ensure they will be cached.
-WORKDIR $PYSETUP_PATH
-COPY ./poetry.lock ./pyproject.toml ./
-# Copy README.md to the build context
-COPY ./README.md ./
-# install runtime deps - uses $POETRY_VIRTUALENVS_IN_PROJECT internally
-RUN --mount=type=cache,target=/root/.cache \
-    poetry install --without dev --extras deploy
-
-
-################################
-# DEVELOPMENT
-# Image used during development / testing
-################################
-FROM python-base as development
-WORKDIR $PYSETUP_PATH
-
-# copy in our built poetry + venv
-COPY --from=builder-base $POETRY_HOME $POETRY_HOME
-COPY --from=builder-base $PYSETUP_PATH $PYSETUP_PATH
-
-# Copy just one file to avoid rebuilding the whole image
-COPY ./src/backend/langflow/__init__.py ./src/backend/langflow/__init__.py
-# quicker install as runtime deps are already installed
-RUN --mount=type=cache,target=/root/.cache \
-    poetry install --with=dev --extras deploy
-
-# copy in our app code
-COPY ./src/backend ./src/backend
-COPY ./tests ./tests
diff --git a/deploy/docker-compose.yml b/deploy/docker-compose.yml
index 201f9bc9745..b1a5f4f0685 100644
--- a/deploy/docker-compose.yml
+++ b/deploy/docker-compose.yml
@@ -69,10 +69,7 @@ services:
         - traefik.http.routers.${STACK_NAME?Variable not set}-proxy-http.middlewares=${STACK_NAME?Variable not set}-www-redirect,${STACK_NAME?Variable not set}-https-redirect
 
   backend: &backend
-    image: "ogabrielluiz/langflow:latest"
-    build:
-      context: ../
-      dockerfile: base.Dockerfile
+    image: "langflowai/langflow:latest"
     depends_on:
       - db
       - broker
@@ -143,9 +140,6 @@ services:
     <<: *backend
     env_file:
       - .env
-    build:
-      context: ../
-      dockerfile: base.Dockerfile
     command: celery -A langflow.worker.celery_app worker --loglevel=INFO --concurrency=1 -n lf-worker@%h -P eventlet
     healthcheck:
       test: "exit 0"
@@ -158,9 +152,6 @@ services:
       - .env
     networks:
       - default
-    build:
-      context: ../
-      dockerfile: base.Dockerfile
     environment:
       - FLOWER_PORT=5555
 
diff --git a/docker-compose.debug.yml b/docker-compose.debug.yml
deleted file mode 100644
index c73ff2a60b2..00000000000
--- a/docker-compose.debug.yml
+++ /dev/null
@@ -1,33 +0,0 @@
-version: "3.4"
-
-services:
-  backend:
-    volumes:
-      - ./:/app
-    build:
-      context: ./
-      dockerfile: ./dev.Dockerfile
-    command:
-      [
-        "sh",
-        "-c",
-        "pip install debugpy -t /tmp && python /tmp/debugpy --wait-for-client --listen 0.0.0.0:5678 -m uvicorn --factory src.backend.langflow.main:create_app --host 0.0.0.0 --port 7860 --reload",
-      ]
-    ports:
-      - 7860:7860
-      - 5678:5678
-    restart: on-failure
-
-  frontend:
-    build:
-      context: ./src/frontend
-      dockerfile: ./dev.Dockerfile
-      args:
-        - BACKEND_URL=http://backend:7860
-    ports:
-      - "3000:3000"
-    volumes:
-      - ./src/frontend/public:/home/node/app/public
-      - ./src/frontend/src:/home/node/app/src
-      - ./src/frontend/package.json:/home/node/app/package.json
-    restart: on-failure
diff --git a/docker-compose.yml b/docker-compose.yml
deleted file mode 100644
index c74447899c0..00000000000
--- a/docker-compose.yml
+++ /dev/null
@@ -1,37 +0,0 @@
-version: "3"
-networks:
-  langflow:
-
-services:
-  backend:
-    build:
-      context: ./
-      dockerfile: ./dev.Dockerfile
-    env_file:
-      - .env
-    ports:
-      - "7860:7860"
-    volumes:
-      - ./:/app
-    command: bash -c "uvicorn --factory src.backend.langflow.main:create_app --host 0.0.0.0 --port 7860 --reload"
-    networks:
-      - langflow
-  frontend:
-    build:
-      context: ./src/frontend
-      dockerfile: ./cdk.Dockerfile
-      args:
-        - BACKEND_URL=http://backend:7860
-    depends_on:
-        - backend
-    environment:
-      - VITE_PROXY_TARGET=http://backend:7860
-    ports:
-      - "8080:3000"
-    volumes:
-      - ./src/frontend/public:/home/node/app/public
-      - ./src/frontend/src:/home/node/app/src
-      - ./src/frontend/package.json:/home/node/app/package.json
-    restart: on-failure
-    networks:
-      - langflow
diff --git a/docker/.dockerignore b/docker/.dockerignore
new file mode 100644
index 00000000000..737244fba61
--- /dev/null
+++ b/docker/.dockerignore
@@ -0,0 +1,9 @@
+.venv/
+**/aws
+node_modules
+**/node_modules/
+dist/
+**/build/
+src/backend/langflow/frontend
+**/langflow-pre.db
+**/langflow.db
\ No newline at end of file
diff --git a/docker/build_and_push.Dockerfile b/docker/build_and_push.Dockerfile
new file mode 100644
index 00000000000..79f6ac8d739
--- /dev/null
+++ b/docker/build_and_push.Dockerfile
@@ -0,0 +1,97 @@
+# syntax=docker/dockerfile:1
+# Keep this syntax directive! It's used to enable Docker BuildKit
+
+
+################################
+# BUILDER-BASE
+# Used to build deps + create our virtual environment
+################################
+
+# 1. use python:3.12.3-slim as the base image until https://github.com/pydantic/pydantic-core/issues/1292 gets resolved
+# 2. do not add --platform=$BUILDPLATFORM because the pydantic binaries must be resolved for the final architecture
+FROM python:3.12.3-slim as builder-base
+
+ENV PYTHONDONTWRITEBYTECODE=1 \
+    \
+    # pip
+    PIP_DISABLE_PIP_VERSION_CHECK=on \
+    PIP_DEFAULT_TIMEOUT=100 \
+    \
+    # poetry
+    # https://python-poetry.org/docs/configuration/#using-environment-variables
+    POETRY_VERSION=1.8.2 \
+    # make poetry install to this location
+    POETRY_HOME="/opt/poetry" \
+    # make poetry create the virtual environment in the project's root
+    # it gets named `.venv`
+    POETRY_VIRTUALENVS_IN_PROJECT=true \
+    # do not ask any interactive question
+    POETRY_NO_INTERACTION=1 \
+    \
+    # paths
+    # this is where our requirements + virtual environment will live
+    PYSETUP_PATH="/opt/pysetup" \
+    VENV_PATH="/opt/pysetup/.venv"
+
+RUN apt-get update \
+    && apt-get install --no-install-recommends -y \
+    # deps for installing poetry
+    curl \
+    # deps for building python deps
+    build-essential npm \
+    # gcc
+    gcc \
+    && apt-get clean \
+    && rm -rf /var/lib/apt/lists/*
+
+RUN --mount=type=cache,target=/root/.cache \
+    curl -sSL https://install.python-poetry.org | python3 -
+
+WORKDIR /app
+COPY pyproject.toml poetry.lock README.md ./
+COPY src/ ./src
+COPY scripts/ ./scripts
+RUN python -m pip install requests --user && cd ./scripts && python update_dependencies.py
+
+# 1. Install the dependencies using the current poetry.lock file to create reproducible builds
+# 2. Do not install dev dependencies
+# 3. Install all the extras to ensure all optionals are installed as well
+# 4. --sync to ensure nothing else is in the environment
+# 5. Build the wheel and install "langflow" package (mainly for version)
+
+# Note: moving to build and installing the wheel will make the docker images not reproducible.
+RUN $POETRY_HOME/bin/poetry lock --no-update \
+      # install current lock file with fixed dependencies versions \
+      # do not install dev dependencies \
+      && $POETRY_HOME/bin/poetry install --without dev --sync -E deploy -E couchbase -E cassio \
+      && $POETRY_HOME/bin/poetry build -f wheel \
+      && $POETRY_HOME/bin/poetry run pip install dist/*.whl
+
+################################
+# RUNTIME
+# Setup user, utilities and copy the virtual environment only
+################################
+# 1. use python:3.12.3-slim as the base image until https://github.com/pydantic/pydantic-core/issues/1292 gets resolved
+FROM python:3.12.3-slim as runtime
+
+RUN apt-get -y update \
+    && apt-get install --no-install-recommends -y \
+    curl \
+    && apt-get clean \
+    && rm -rf /var/lib/apt/lists/*
+
+LABEL org.opencontainers.image.title=langflow
+LABEL org.opencontainers.image.authors=['Langflow']
+LABEL org.opencontainers.image.licenses=MIT
+LABEL org.opencontainers.image.url=https://github.com/langflow-ai/langflow
+LABEL org.opencontainers.image.source=https://github.com/langflow-ai/langflow
+
+RUN useradd user -u 1000 -g 0 --no-create-home --home-dir /app/data
+COPY --from=builder-base --chown=1000 /app/.venv /app/.venv
+ENV PATH="/app/.venv/bin:${PATH}"
+
+USER user
+WORKDIR /app
+
+ENTRYPOINT ["python", "-m", "langflow", "run"]
+CMD ["--host", "0.0.0.0", "--port", "7860"]
\ No newline at end of file
diff --git a/docker/build_and_push_backend.Dockerfile b/docker/build_and_push_backend.Dockerfile
new file mode 100644
index 00000000000..8b82da52479
--- /dev/null
+++ b/docker/build_and_push_backend.Dockerfile
@@ -0,0 +1,8 @@
+# syntax=docker/dockerfile:1
+# Keep this syntax directive! It's used to enable Docker BuildKit
+
+ARG LANGFLOW_IMAGE
+FROM $LANGFLOW_IMAGE
+
+RUN rm -rf /app/.venv/langflow/frontend
+CMD ["--host", "0.0.0.0", "--port", "7860", "--backend-only"]
diff --git a/docker/build_and_push_base.Dockerfile b/docker/build_and_push_base.Dockerfile
new file mode 100644
index 00000000000..916531df2b0
--- /dev/null
+++ b/docker/build_and_push_base.Dockerfile
@@ -0,0 +1,100 @@
+
+
+# syntax=docker/dockerfile:1
+# Keep this syntax directive! It's used to enable Docker BuildKit
+
+# Based on https://github.com/python-poetry/poetry/discussions/1879?sort=top#discussioncomment-216865
+# but I try to keep it updated (see history)
+
+################################
+# PYTHON-BASE
+# Sets up all our shared environment variables
+################################
+
+# use python:3.12.3-slim as the base image until https://github.com/pydantic/pydantic-core/issues/1292 gets resolved
+FROM python:3.12.3-slim as python-base
+
+# python
+ENV PYTHONUNBUFFERED=1 \
+    # prevents python creating .pyc files
+    PYTHONDONTWRITEBYTECODE=1 \
+    \
+    # pip
+    PIP_DISABLE_PIP_VERSION_CHECK=on \
+    PIP_DEFAULT_TIMEOUT=100 \
+    \
+    # poetry
+    # https://python-poetry.org/docs/configuration/#using-environment-variables
+    POETRY_VERSION=1.8.2 \
+    # make poetry install to this location
+    POETRY_HOME="/opt/poetry" \
+    # make poetry create the virtual environment in the project's root
+    # it gets named `.venv`
+    POETRY_VIRTUALENVS_IN_PROJECT=true \
+    # do not ask any interactive question
+    POETRY_NO_INTERACTION=1 \
+    \
+    # paths
+    # this is where our requirements + virtual environment will live
+    PYSETUP_PATH="/opt/pysetup" \
+    VENV_PATH="/opt/pysetup/.venv"
+
+
+# prepend poetry and venv to path
+ENV PATH="$POETRY_HOME/bin:$VENV_PATH/bin:$PATH"
+
+
+################################
+# BUILDER-BASE
+# Used to build deps + create our virtual environment
+################################
+FROM python-base as builder-base
+RUN apt-get update \
+    && apt-get install --no-install-recommends -y \
+    # deps for installing poetry
+    curl \
+    # deps for building python deps
+    build-essential \
+    # npm
+    npm \
+    # gcc
+    gcc \
+    && apt-get clean \
+    && rm -rf /var/lib/apt/lists/*
+
+RUN --mount=type=cache,target=/root/.cache \
+    curl -sSL https://install.python-poetry.org | python3 -
+
+# Now we need to copy the entire project into the image
+COPY pyproject.toml poetry.lock ./
+COPY src/frontend/package.json /tmp/package.json
+RUN cd /tmp && npm install
+WORKDIR /app
+COPY src/frontend ./src/frontend
+RUN rm -rf src/frontend/node_modules
+RUN cp -a /tmp/node_modules /app/src/frontend
+COPY scripts ./scripts
+COPY Makefile ./
+COPY README.md ./
+RUN cd src/frontend && npm run build
+COPY src/backend ./src/backend
+RUN cp -r src/frontend/build src/backend/base/langflow/frontend
+RUN rm -rf src/backend/base/dist
+RUN useradd -m -u 1000 user && \
+    mkdir -p /app/langflow && \
+    chown -R user:user /app && \
+    chmod -R u+w /app/langflow
+
+# Update PATH with home/user/.local/bin
+ENV PATH="/home/user/.local/bin:${PATH}"
+RUN cd src/backend/base && $POETRY_HOME/bin/poetry build
+
+# Copy virtual environment and built .tar.gz from builder base
+
+USER user
+# Install the package from the .tar.gz
+RUN python -m pip install /app/src/backend/base/dist/*.tar.gz --user
+
+
+ENTRYPOINT ["python", "-m", "langflow", "run"]
+CMD ["--host", "0.0.0.0", "--port", "7860"]
diff --git a/docker/cdk-docker-compose.yml b/docker/cdk-docker-compose.yml
new file mode 100644
index 00000000000..987d198aa5d
--- /dev/null
+++ b/docker/cdk-docker-compose.yml
@@ -0,0 +1,37 @@
+version: "3"
+networks:
+  langflow:
+
+services:
+  backend:
+    build:
+      context: ./
+      dockerfile: ./dev.Dockerfile
+    env_file:
+      - .env
+    ports:
+      - "7860:7860"
+    volumes:
+      - ./:/app
+    command: bash -c "uvicorn --factory langflow.main:create_app --host 0.0.0.0 --port 7860 --reload --loop asyncio"
+    networks:
+      - langflow
+  frontend:
+    build:
+      context: ./src/frontend
+      dockerfile: ./cdk.Dockerfile
+      args:
+        - BACKEND_URL=http://backend:7860
+    depends_on:
+      - backend
+    environment:
+      - VITE_PROXY_TARGET=http://backend:7860
+    ports:
+      - "8080:3000"
+    volumes:
+      - ./src/frontend/public:/home/node/app/public
+      - ./src/frontend/src:/home/node/app/src
+      - ./src/frontend/package.json:/home/node/app/package.json
+    restart: on-failure
+    networks:
+      - langflow
diff --git a/cdk.Dockerfile b/docker/cdk.Dockerfile
similarity index 100%
rename from cdk.Dockerfile
rename to docker/cdk.Dockerfile
diff --git a/docker/container-cmd-cdk.sh b/docker/container-cmd-cdk.sh
new file mode 100644
index 00000000000..dbab8f42fbe
--- /dev/null
+++ b/docker/container-cmd-cdk.sh
@@ -0,0 +1,5 @@
+export LANGFLOW_DATABASE_URL="mysql+pymysql://${username}:${password}@${host}:3306/${dbname}"
+# echo $LANGFLOW_DATABASE_URL
+uvicorn --factory langflow.main:create_app --host 0.0.0.0 --port 7860 --reload --log-level debug --loop asyncio
+
+# python -m langflow run --host 0.0.0.0 --port 7860
\ No newline at end of file
diff --git a/dev.Dockerfile b/docker/dev.Dockerfile
similarity index 77%
rename from dev.Dockerfile
rename to docker/dev.Dockerfile
index ed363151616..3e5a1d95ea0 100644
--- a/dev.Dockerfile
+++ b/docker/dev.Dockerfile
@@ -15,4 +15,4 @@ COPY ./ ./
 # Install dependencies
 RUN poetry config virtualenvs.create false && poetry install --no-interaction --no-ansi
 
-CMD ["uvicorn", "--factory", "src.backend.langflow.main:create_app", "--host", "0.0.0.0", "--port", "7860", "--reload", "--log-level", "debug"]
+CMD ["uvicorn", "--factory", "langflow.main:create_app", "--host", "0.0.0.0", "--port", "7860", "--reload", "--log-level", "debug", "--loop", "asyncio"]
diff --git a/docker/frontend/build_and_push_frontend.Dockerfile b/docker/frontend/build_and_push_frontend.Dockerfile
new file mode 100644
index 00000000000..55f57018738
--- /dev/null
+++ b/docker/frontend/build_and_push_frontend.Dockerfile
@@ -0,0 +1,29 @@
+# syntax=docker/dockerfile:1
+# Keep this syntax directive! It's used to enable Docker BuildKit
+
+################################
+# BUILDER-BASE
+################################
+
+# 1. force platform to the current architecture to increase build speed time on multi-platform builds
+FROM --platform=$BUILDPLATFORM node:lts-bookworm-slim as builder-base
+COPY src/frontend /frontend
+
+RUN cd /frontend && npm install && npm run build
+
+################################
+# RUNTIME
+################################
+FROM nginxinc/nginx-unprivileged:stable-bookworm-perl as runtime
+
+LABEL org.opencontainers.image.title=langflow-frontend
+LABEL org.opencontainers.image.authors=['Langflow']
+LABEL org.opencontainers.image.licenses=MIT
+LABEL org.opencontainers.image.url=https://github.com/langflow-ai/langflow
+LABEL org.opencontainers.image.source=https://github.com/langflow-ai/langflow
+
+COPY --from=builder-base --chown=nginx /frontend/build /usr/share/nginx/html
+COPY --chown=nginx ./docker/frontend/nginx.conf /etc/nginx/conf.d/default.conf
+COPY --chown=nginx ./docker/frontend/start-nginx.sh /start-nginx.sh
+RUN chmod +x /start-nginx.sh
+ENTRYPOINT ["/start-nginx.sh"]
\ No newline at end of file
diff --git a/docker/frontend/nginx.conf b/docker/frontend/nginx.conf
new file mode 100644
index 00000000000..593b1dcc80c
--- /dev/null
+++ b/docker/frontend/nginx.conf
@@ -0,0 +1,22 @@
+server {
+    gzip on;
+    gzip_comp_level  2;
+    gzip_min_length  1000;
+    gzip_types  text/xml text/css;
+    gzip_http_version 1.1;
+    gzip_vary  on;
+    gzip_disable "MSIE [4-6] \.";
+
+    listen __FRONTEND_PORT__;
+
+    location / {
+        root /usr/share/nginx/html;
+        index index.html index.htm;
+        try_files $uri $uri/ /index.html =404;
+    }
+    location /api {
+        proxy_pass __BACKEND_URL__;
+    }
+
+    include /etc/nginx/extra-conf.d/*.conf;
+}
diff --git a/docker/frontend/start-nginx.sh b/docker/frontend/start-nginx.sh
new file mode 100644
index 00000000000..6ef09745c59
--- /dev/null
+++ b/docker/frontend/start-nginx.sh
@@ -0,0 +1,25 @@
+#!/bin/sh
+set -e
+trap 'kill -TERM $PID' TERM INT
+if [ -z "$BACKEND_URL" ]; then
+  BACKEND_URL="$1"
+fi
+if [ -z "$FRONTEND_PORT" ]; then
+  FRONTEND_PORT="$2"
+fi
+if [ -z "$FRONTEND_PORT" ]; then
+  FRONTEND_PORT="80"
+fi
+if [ -z "$BACKEND_URL" ]; then
+  echo "BACKEND_URL must be set as an environment variable or as first parameter. (e.g. http://localhost:7860)"
+  exit 1
+fi
+echo "BACKEND_URL: $BACKEND_URL"
+echo "FRONTEND_PORT: $FRONTEND_PORT"
+sed -i "s|__BACKEND_URL__|$BACKEND_URL|g" /etc/nginx/conf.d/default.conf
+sed -i "s|__FRONTEND_PORT__|$FRONTEND_PORT|g" /etc/nginx/conf.d/default.conf
+cat /etc/nginx/conf.d/default.conf
+
+
+# Start nginx
+exec nginx -g 'daemon off;'
diff --git a/Dockerfile b/docker/render.Dockerfile
similarity index 100%
rename from Dockerfile
rename to docker/render.Dockerfile
diff --git a/docker/render.pre-release.Dockerfile b/docker/render.pre-release.Dockerfile
new file mode 100644
index 00000000000..d3aa9cbdee4
--- /dev/null
+++ b/docker/render.pre-release.Dockerfile
@@ -0,0 +1 @@
+FROM langflowai/langflow:1.0-alpha
diff --git a/docker_example/Dockerfile b/docker_example/Dockerfile
index 346348c0a30..e7f0b422aa2 100644
--- a/docker_example/Dockerfile
+++ b/docker_example/Dockerfile
@@ -1,15 +1,3 @@
-FROM python:3.10-slim
+FROM langflowai/langflow:latest
 
-RUN apt-get update && apt-get install gcc g++ git make -y && apt-get clean \
-	&& rm -rf /var/lib/apt/lists/*
-RUN useradd -m -u 1000 user
-USER user
-ENV HOME=/home/user \
-	PATH=/home/user/.local/bin:$PATH
-
-WORKDIR $HOME/app
-
-COPY --chown=user . $HOME/app
-
-RUN pip install langflow>==0.5.0 -U --user
 CMD ["python", "-m", "langflow", "run", "--host", "0.0.0.0", "--port", "7860"]
diff --git a/docker_example/README.md b/docker_example/README.md
index 9e72dc64518..c5d2adb2683 100644
--- a/docker_example/README.md
+++ b/docker_example/README.md
@@ -1,9 +1,65 @@
-# LangFlow Docker Running
+# Running LangFlow with Docker
 
-```sh
-git clone git@github.com:logspace-ai/langflow.git
-cd langflow/docker_example
-docker compose up
-```
+This guide will help you get LangFlow up and running using Docker and Docker Compose.
 
-The web UI will be accessible on port [7860](http://localhost:7860/)
\ No newline at end of file
+## Prerequisites
+
+- Docker
+- Docker Compose
+
+## Steps
+
+1. Clone the LangFlow repository:
+
+   ```sh
+   git clone https://github.com/langflow-ai/langflow.git
+   ```
+
+2. Navigate to the `docker_example` directory:
+
+   ```sh
+   cd langflow/docker_example
+   ```
+
+3. Run the Docker Compose file:
+
+   ```sh
+   docker compose up
+   ```
+
+LangFlow will now be accessible at [http://localhost:7860/](http://localhost:7860/).
+
+## Docker Compose Configuration
+
+The Docker Compose configuration spins up two services: `langflow` and `postgres`.
+
+### LangFlow Service
+
+The `langflow` service uses the `langflowai/langflow:latest` Docker image and exposes port 7860. It depends on the `postgres` service.
+
+Environment variables:
+
+- `LANGFLOW_DATABASE_URL`: The connection string for the PostgreSQL database.
+- `LANGFLOW_CONFIG_DIR`: The directory where LangFlow stores logs, file storage, monitor data, and secret keys.
+
+Volumes:
+
+- `langflow-data`: This volume is mapped to `/var/lib/langflow` in the container.
+
+### PostgreSQL Service
+
+The `postgres` service uses the `postgres:16` Docker image and exposes port 5432.
+
+Environment variables:
+
+- `POSTGRES_USER`: The username for the PostgreSQL database.
+- `POSTGRES_PASSWORD`: The password for the PostgreSQL database.
+- `POSTGRES_DB`: The name of the PostgreSQL database.
+
+Volumes:
+
+- `langflow-postgres`: This volume is mapped to `/var/lib/postgresql/data` in the container.
+
+## Switching to a Specific LangFlow Version
+
+If you want to use a specific version of LangFlow, you can modify the `image` field under the `langflow` service in the Docker Compose file. For example, to use version 1.0-alpha, change `langflowai/langflow:latest` to `langflowai/langflow:1.0-alpha`.
diff --git a/docker_example/docker-compose.yml b/docker_example/docker-compose.yml
index da68b4471ad..a8fddac710f 100644
--- a/docker_example/docker-compose.yml
+++ b/docker_example/docker-compose.yml
@@ -1,10 +1,30 @@
-version: '3'
+version: "3.8"
 
 services:
   langflow:
-    build:
-      context: .
-      dockerfile: Dockerfile
+    image: langflowai/langflow:latest
     ports:
       - "7860:7860"
-    command: langflow run --host 0.0.0.0
+    depends_on:
+      - postgres
+    environment:
+      - LANGFLOW_DATABASE_URL=postgresql://langflow:langflow@postgres:5432/langflow
+      # This variable defines where the logs, file storage, monitor data and secret keys are stored.
+      - LANGFLOW_CONFIG_DIR=/var/lib/langflow
+    volumes:
+      - langflow-data:/var/lib/langflow
+
+  postgres:
+    image: postgres:16
+    environment:
+      POSTGRES_USER: langflow
+      POSTGRES_PASSWORD: langflow
+      POSTGRES_DB: langflow
+    ports:
+      - "5432:5432"
+    volumes:
+      - langflow-postgres:/var/lib/postgresql/data
+
+volumes:
+  langflow-postgres:
+  langflow-data:
diff --git a/docker_example/pre.Dockerfile b/docker_example/pre.Dockerfile
new file mode 100644
index 00000000000..a72b7259517
--- /dev/null
+++ b/docker_example/pre.Dockerfile
@@ -0,0 +1,3 @@
+FROM langflowai/langflow:1.0-alpha
+
+CMD ["python", "-m", "langflow", "run", "--host", "0.0.0.0", "--port", "7860"]
diff --git a/docker_example/pre.docker-compose.yml b/docker_example/pre.docker-compose.yml
new file mode 100644
index 00000000000..3df573df533
--- /dev/null
+++ b/docker_example/pre.docker-compose.yml
@@ -0,0 +1,30 @@
+version: "3.8"
+
+services:
+  langflow:
+    image: langflowai/langflow:1.0-alpha
+    ports:
+      - "7860:7860"
+    depends_on:
+      - postgres
+    environment:
+      - LANGFLOW_DATABASE_URL=postgresql://langflow:langflow@postgres:5432/langflow
+      # This variable defines where the logs, file storage, monitor data and secret keys are stored.
+      - LANGFLOW_CONFIG_DIR=app/langflow
+    volumes:
+      - langflow-data:/app/langflow
+
+  postgres:
+    image: postgres:16
+    environment:
+      POSTGRES_USER: langflow
+      POSTGRES_PASSWORD: langflow
+      POSTGRES_DB: langflow
+    ports:
+      - "5432:5432"
+    volumes:
+      - langflow-postgres:/var/lib/postgresql/data
+
+volumes:
+  langflow-postgres:
+  langflow-data:
diff --git a/docs/docs/administration/api.mdx b/docs/docs/administration/api.mdx
new file mode 100644
index 00000000000..737213cfdf3
--- /dev/null
+++ b/docs/docs/administration/api.mdx
@@ -0,0 +1,183 @@
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+import Admonition from "@theme/Admonition";
+
+# API Keys
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+Langflow provides an API key functionality that allows users to access their individual components and flows without traditional login authentication. The API key is a user-specific token that can be included in the request header or query parameter to authenticate API calls. This documentation outlines how to generate, use, and manage API keys in Langflow.
+
+<Admonition type="warning">
+  The default user and password are set using the LANGFLOW_SUPERUSER and
+  LANGFLOW_SUPERUSER_PASSWORD environment variables.
+
+The default values are `langflow` and `langflow`, respectively.
+
+</Admonition>
+
+## Generate an API key
+
+Generate a user-specific token to use with Langflow.
+
+### Generate an API key with the Langflow UI
+
+<ZoomableImage
+  alt="Docusaurus themed image"
+  sources={{
+    light: useBaseUrl("img/api-key.png"),
+    dark: useBaseUrl("img/api-key.png"),
+  }}
+  style={{ width: "50%", maxWidth: "600px", margin: "0 auto" }}
+/>
+
+1. Click on the "API Key" icon.
+2. Click on "Create new secret key".
+3. Give it an optional name.
+4. Click on "Create secret key".
+5. Copy the API key and store it in a secure location.
+
+### Generate an API key with the Langflow CLI
+
+```bash
+langflow api-key
+# or
+python -m langflow api-key
+╭─────────────────────────────────────────────────────────────────────╮
+│ API Key Created Successfully:                                       │
+│                                                                     │
+│ sk-O0elzoWID1izAH8RUKrnnvyyMwIzHi2Wk-uXWoNJ2Ro                      │
+│                                                                     │
+│ This is the only time the API key will be displayed.                │
+│ Make sure to store it in a secure location.                         │
+│                                                                     │
+│ The API key has been copied to your clipboard. Cmd + V to paste it. │
+╰──────────────────────────────
+```
+
+## Use the Langflow API key
+
+Include your API key in API requests to authenticate requests to Langflow.
+
+### Use the `x-api-key` header
+
+Include the `x-api-key` in the HTTP header when making API requests:
+
+```bash
+curl -X POST \
+  http://localhost:3000/api/v1/run/<your_flow_id> \
+  -H 'Content-Type: application/json'\
+  -H 'x-api-key: <your api key>'\
+  -d '{"inputs": {"text":""}, "tweaks": {}}'
+```
+
+With Python using `requests`:
+
+```python
+import requests
+from typing import Optional
+
+BASE_API_URL = "http://localhost:3001/api/v1/process"
+FLOW_ID = "4441b773-0724-434e-9cee-19d995d8f2df"
+# You can tweak the flow by adding a tweaks dictionary
+# e.g {"OpenAI-XXXXX": {"model_name": "gpt-4"}}
+TWEAKS = {}
+
+def run_flow(inputs: dict,
+            flow_id: str,
+            tweaks: Optional[dict] = None,
+            apiKey: Optional[str] = None) -> dict:
+    """
+    Run a flow with a given message and optional tweaks.
+
+    :param message: The message to send to the flow
+    :param flow_id: The ID of the flow to run
+    :param tweaks: Optional tweaks to customize the flow
+    :return: The JSON response from the flow
+    """
+    api_url = f"{BASE_API_URL}/{flow_id}"
+
+    payload = {"inputs": inputs}
+    headers = {}
+
+    if tweaks:
+        payload["tweaks"] = tweaks
+    if apiKey:
+        headers = {"x-api-key": apiKey}
+
+    response = requests.post(api_url, json=payload, headers=headers)
+    return response.json()
+
+# Setup any tweaks you want to apply to the flow
+inputs = {"text":""}
+api_key = "<your api key>"
+print(run_flow(inputs, flow_id=FLOW_ID, tweaks=TWEAKS, apiKey=api_key))
+```
+
+### Use the query parameter
+
+Include the API key as a query parameter in the URL:
+
+```bash
+curl -X POST \
+  http://localhost:3000/api/v1/process/<your_flow_id>?x-api-key=<your_api_key> \
+  -H 'Content-Type: application/json'\
+  -d '{"inputs": {"text":""}, "tweaks": {}}'
+```
+
+With Python using `requests`:
+
+```python
+import requests
+
+BASE_API_URL = "http://localhost:3001/api/v1/process"
+FLOW_ID = "4441b773-0724-434e-9cee-19d995d8f2df"
+# You can tweak the flow by adding a tweaks dictionary
+# e.g {"OpenAI-XXXXX": {"model_name": "gpt-4"}}
+TWEAKS = {}
+
+def run_flow(inputs: dict,
+            flow_id: str,
+            tweaks: Optional[dict] = None,
+            apiKey: Optional[str] = None) -> dict:
+    """
+    Run a flow with a given message and optional tweaks.
+
+    :param message: The message to send to the flow
+    :param flow_id: The ID of the flow to run
+    :param tweaks: Optional tweaks to customize the flow
+    :return: The JSON response from the flow
+    """
+    api_url = f"{BASE_API_URL}/{flow_id}"
+
+    payload = {"inputs": inputs}
+    headers = {}
+
+    if tweaks:
+        payload["tweaks"] = tweaks
+    if apiKey:
+        api_url += f"?x-api-key={apiKey}"
+
+    response = requests.post(api_url, json=payload, headers=headers)
+    return response.json()
+
+# Setup any tweaks you want to apply to the flow
+inputs = {"text":""}
+api_key = "<your api key>"
+print(run_flow(inputs, flow_id=FLOW_ID, tweaks=TWEAKS, apiKey=api_key))
+```
+
+## Security Considerations
+
+- **Visibility**: For security reasons, the API key cannot be retrieved again through the UI.
+- **Scope**: The key allows access only to the flows and components of the specific user to whom it was issued.
+
+## Custom API endpoint
+
+Under **Project Settings** > **Endpoint Name**, you can pick a custom name for the endpoint used to call your flow from the API.
+
+## Revoke an API Key
+
+To revoke an API key, delete it from the UI. This action immediately invalidates the key and prevents it from being used again.
diff --git a/docs/docs/guidelines/chat-widget.mdx b/docs/docs/administration/chat-widget.mdx
similarity index 85%
rename from docs/docs/guidelines/chat-widget.mdx
rename to docs/docs/administration/chat-widget.mdx
index 46ed974a8ed..e4d744a4057 100644
--- a/docs/docs/guidelines/chat-widget.mdx
+++ b/docs/docs/administration/chat-widget.mdx
@@ -6,6 +6,10 @@ import Admonition from "@theme/Admonition";
 
 # Chat Widget
 
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
 <div style={{ marginBottom: "20px" }}>
   The <b>Langflow Chat Widget</b> is a powerful web component that enables
   communication with a Langflow project. This widget allows for a chat interface
@@ -61,7 +65,7 @@ import Admonition from "@theme/Admonition";
 
 ---
 
-### HTML
+### Embed your flow into HTML
 
 The Chat Widget can be embedded into any HTML page, inside a _`<body>`_ tag, as demonstrated in the video below.
 
@@ -73,15 +77,15 @@ The Chat Widget can be embedded into any HTML page, inside a _`<body>`_ tag, as
 
 ---
 
-### React
+### Embed your flow with React
 
-To embed the Chat Widget using React, you'll need to insert this _`<script>`_ tag into the React _index.html_ file, inside the _`<body>`_ tag:
+1. To embed the Chat Widget using React, insert this _`<script>`_ tag into the React _index.html_ file, inside the _`<body>`_ tag:
 
 ```html
-<script src="https://cdn.jsdelivr.net/gh/logspace-ai/langflow-embedded-chat@main/dist/build/static/js/bundle.min.js"></script>
+<script src="https://cdn.jsdelivr.net/gh/langflow-ai/langflow-embedded-chat@main/dist/build/static/js/bundle.min.js"></script>
 ```
 
-Then, declare your Web Component and encapsulate it in a React component.
+2. Declare your Web Component and encapsulate it in a React component.
 
 ```jsx
 declare global {
@@ -106,28 +110,27 @@ export default function ChatWidget({ className }) {
 }
 ```
 
-Finally, you can place the component anywhere in your code to display the Chat Widget.
+3. Finally, you can place the component anywhere in your code to display the Chat Widget.
 
 ---
 
-### Angular
+### Embed your flow with Angular
 
-To use it in Angular, first add this _`<script>`_ tag into the Angular _index.html_ file, inside the _`<body>`_ tag.
+1. To use the chat widget in Angular, first add this _`<script>`_ tag into the Angular _index.html_ file, inside the _`<body>`_ tag.
 
 ```html
-<script src="https://cdn.jsdelivr.net/gh/logspace-ai/langflow-embedded-chat@main/dist/build/static/js/bundle.min.js"></script>
+<script src="https://cdn.jsdelivr.net/gh/langflow-ai/langflow-embedded-chat@main/dist/build/static/js/bundle.min.js"></script>
 ```
 
-When you use a custom web component in an Angular template, the Angular compiler might show a warning when it doesn't recognize the custom elements by default. To suppress this warning, add _`CUSTOM_ELEMENTS_SCHEMA`_ to the module's _`@NgModule.schemas`_.
-
-- Open the module file (it typically ends with _.module.ts_) where you'd add the _`langflow-chat`_ web component.
-- Import _`CUSTOM_ELEMENTS_SCHEMA`_ at the top of the file:
+2. When you use a custom web component in an Angular template, the Angular compiler might show a warning when it doesn't recognize the custom elements by default. To suppress this warning, add _`CUSTOM_ELEMENTS_SCHEMA`_ to the module's _`@NgModule.schemas`_.
+3. Open the module file (it typically ends with _.module.ts_) where you'd add the _`langflow-chat`_ web component.
+4. Import _`CUSTOM_ELEMENTS_SCHEMA`_ at the top of the file:
 
 ```ts
 import { NgModule, CUSTOM_ELEMENTS_SCHEMA } from "@angular/core";
 ```
 
-- Add _`CUSTOM_ELEMENTS_SCHEMA`_ to the 'schemas' array inside the '@NgModule' decorator:
+5. Add _`CUSTOM_ELEMENTS_SCHEMA`_ to the 'schemas' array inside the '@NgModule' decorator:
 
 ```ts
 @NgModule({
@@ -142,9 +145,7 @@ import { NgModule, CUSTOM_ELEMENTS_SCHEMA } from "@angular/core";
 export class YourModule {}
 ```
 
-In your Angular project, find the component belonging to the module where _`CUSTOM_ELEMENTS_SCHEMA`_ was added.
-
-- Inside the template, add the _`langflow-chat`_ tag to include the Chat Widget in your component's view:
+6. In your Angular project, find the component belonging to the module where _`CUSTOM_ELEMENTS_SCHEMA`_ was added. Inside the template, add the _`langflow-chat`_ tag to include the Chat Widget in your component's view:
 
 ```jsx
 <langflow-chat
@@ -175,7 +176,7 @@ In your Angular project, find the component belonging to the module where _`CUST
 
 ---
 
-## Configuration
+## Chat widget configuration
 
 Use the widget API to customize your Chat Widget:
 
diff --git a/docs/docs/administration/cli.mdx b/docs/docs/administration/cli.mdx
new file mode 100644
index 00000000000..2a54c1fcaed
--- /dev/null
+++ b/docs/docs/administration/cli.mdx
@@ -0,0 +1,159 @@
+import Admonition from "@theme/Admonition";
+
+# Command Line Interface (CLI)
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+Langflow's Command Line Interface (CLI) is a powerful tool that allows you to interact with the Langflow server from the command line. The CLI provides a wide range of commands to help you shape Langflow to your needs.
+
+The available commands are below. Navigate to their individual sections of this page to see the parameters.
+
+- [langflow](#overview)
+- [langflow api-key](#langflow-api-key)
+- [langflow copy-db](#langflow-copy-db)
+- [langflow migration](#langflow-migration)
+- [langflow run](#langflow-run)
+- [langflow superuser](#langflow-superuser)
+
+## Overview
+
+Running the CLI without any arguments displays a list of available options and commands.
+
+```bash
+langflow
+# or
+langflow --help
+# or
+python -m langflow
+```
+
+| Command     | Description                                                            |
+| ----------- | ---------------------------------------------------------------------- |
+| `api-key`   | Creates an API key for the default superuser if AUTO_LOGIN is enabled. |
+| `copy-db`   | Copy the database files to the current directory (`which langflow`).   |
+| `migration` | Run or test migrations.                                                |
+| `run`       | Run the Langflow.                                                      |
+| `superuser` | Create a superuser.                                                    |
+
+### Options
+
+| Option                 | Description                                                                      |
+| ---------------------- | -------------------------------------------------------------------------------- |
+| `--install-completion` | Install completion for the current shell.                                        |
+| `--show-completion`    | Show completion for the current shell, to copy it or customize the installation. |
+| `--help`               | Show this message and exit.                                                      |
+
+## langflow api-key
+
+Run the `api-key` command to create an API key for the default superuser if `LANGFLOW_AUTO_LOGIN` is set to `True`.
+
+```bash
+langflow api-key
+# or
+python -m langflow api-key
+╭─────────────────────────────────────────────────────────────────────╮
+│ API Key Created Successfully:                                       │
+│                                                                     │
+│ sk-O0elzoWID1izAH8RUKrnnvyyMwIzHi2Wk-uXWoNJ2Ro                      │
+│                                                                     │
+│ This is the only time the API key will be displayed.                │
+│ Make sure to store it in a secure location.                         │
+│                                                                     │
+│ The API key has been copied to your clipboard. Cmd + V to paste it. │
+╰──────────────────────────────
+```
+
+### Options
+
+| Option      | Type | Description                                                   |
+| ----------- | ---- | ------------------------------------------------------------- |
+| --log-level | TEXT | Logging level. [env var: LANGFLOW_LOG_LEVEL] [default: error] |
+| --help      |      | Show this message and exit.                                   |
+
+## langflow copy-db
+
+Run the `copy-db` command to copy the cached `langflow.db` and `langflow-pre.db` database files to the current directory.
+
+If the files exist in the cache directory, they will be copied to the same directory as `__main__.py`, which can be found with `which langflow`.
+
+### Options
+
+None.
+
+## langflow migration
+
+Run or test migrations with the [Alembic](https://pypi.org/project/alembic/) database tool.
+
+```bash
+langflow migration
+# or
+python -m langflow migration
+```
+
+### Options
+
+| Option              | Description                                                                                                                |
+| ------------------- | -------------------------------------------------------------------------------------------------------------------------- |
+| `--test, --no-test` | Run migrations in test mode. [default: test]                                                                               |
+| `--fix, --no-fix`   | Fix migrations. This is a destructive operation, and should only be used if you know what you are doing. [default: no-fix] |
+| `--help`            | Show this message and exit.                                                                                                |
+
+## langflow run
+
+Run Langflow.
+
+```bash
+langflow run
+# or
+python -m langflow run
+```
+
+### Options
+
+| Option                                                     | Description                                                                                                                                                                                                                                        |
+| ---------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| `--help`                                                   | Displays all available options.                                                                                                                                                                                                                    |
+| `--host`                                                   | Defines the host to bind the server to. Can be set using the `LANGFLOW_HOST` environment variable. The default is `127.0.0.1`.                                                                                                                     |
+| `--workers`                                                | Sets the number of worker processes. Can be set using the `LANGFLOW_WORKERS` environment variable. The default is `1`.                                                                                                                             |
+| `--timeout`                                                | Sets the worker timeout in seconds. The default is `60`.                                                                                                                                                                                           |
+| `--port`                                                   | Sets the port to listen on. Can be set using the `LANGFLOW_PORT` environment variable. The default is `7860`.                                                                                                                                      |
+| `--env-file`                                               | Specifies the path to the .env file containing environment variables. The default is `.env`.                                                                                                                                                       |
+| `--log-level`                                              | Defines the logging level. Can be set using the `LANGFLOW_LOG_LEVEL` environment variable. The default is `critical`.                                                                                                                              |
+| `--components-path`                                        | Specifies the path to the directory containing custom components. Can be set using the `LANGFLOW_COMPONENTS_PATH` environment variable. The default is `langflow/components`.                                                                      |
+| `--log-file`                                               | Specifies the path to the log file. Can be set using the `LANGFLOW_LOG_FILE` environment variable. The default is `logs/langflow.log`.                                                                                                             |
+| `--cache`                                                  | Select the type of cache to use. Options are `InMemoryCache` and `SQLiteCache`. Can be set using the `LANGFLOW_LANGCHAIN_CACHE` environment variable. The default is `SQLiteCache`.                                                                |
+| `--dev`/`--no-dev`                                         | Toggles the development mode. The default is `no-dev`.                                                                                                                                                                                             |
+| `--path`                                                   | Specifies the path to the frontend directory containing build files. This option is for development purposes only. Can be set using the `LANGFLOW_FRONTEND_PATH` environment variable.                                                             |
+| `--open-browser`/`--no-open-browser`                       | Toggles the option to open the browser after starting the server. Can be set using the `LANGFLOW_OPEN_BROWSER` environment variable. The default is `open-browser`.                                                                                |
+| `--remove-api-keys`/`--no-remove-api-keys`                 | Toggles the option to remove API keys from the projects saved in the database. Can be set using the `LANGFLOW_REMOVE_API_KEYS` environment variable. The default is `no-remove-api-keys`.                                                          |
+| `--install-completion [bash\|zsh\|fish\|powershell\|pwsh]` | Installs completion for the specified shell.                                                                                                                                                                                                       |
+| `--show-completion [bash\|zsh\|fish\|powershell\|pwsh]`    | Shows completion for the specified shell, allowing you to copy it or customize the installation.                                                                                                                                                   |
+| `--backend-only`                                           | This parameter, with a default value of `False`, allows running only the backend server without the frontend. It can also be set using the `LANGFLOW_BACKEND_ONLY` environment variable. For more, see [Backend-only](../deployment/backend-only). |
+| `--store`                                                  | This parameter, with a default value of `True`, enables the store features, use `--no-store` to deactivate it. It can be configured using the `LANGFLOW_STORE` environment variable.                                                               |
+
+#### CLI environment variables
+
+You can configure many of the CLI options using environment variables. These can be exported in your operating system or added to a `.env` file and loaded using the `--env-file` option.
+
+A sample `.env` file named `.env.example` is included with the project. Copy this file to a new file named `.env` and replace the example values with your actual settings. If you're setting values in both your OS and the `.env` file, the `.env` settings will take precedence.
+
+## langflow superuser
+
+Create a superuser for Langflow.
+
+```bash
+langflow superuser
+# or
+python -m langflow superuser
+```
+
+### Options
+
+| Option        | Type | Description                                                   |
+| ------------- | ---- | ------------------------------------------------------------- |
+| `--username`  | TEXT | Username for the superuser. [default: None] [required]        |
+| `--password`  | TEXT | Password for the superuser. [default: None] [required]        |
+| `--log-level` | TEXT | Logging level. [env var: LANGFLOW_LOG_LEVEL] [default: error] |
+| `--help`      |      | Show this message and exit.                                   |
diff --git a/docs/docs/administration/collections-projects.mdx b/docs/docs/administration/collections-projects.mdx
new file mode 100644
index 00000000000..f0ef70ee4ec
--- /dev/null
+++ b/docs/docs/administration/collections-projects.mdx
@@ -0,0 +1,105 @@
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+import ReactPlayer from "react-player";
+import Admonition from "@theme/Admonition";
+
+# Collections and Projects
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+My Collection is a space in Langflow where users can manage, organize, and access their flows and components.
+Flows and components are displayed as individual cards that provide relevant information.
+
+<ZoomableImage
+  alt="Docusaurus themed image"
+  sources={{
+    light: useBaseUrl("img/my-collection.png"),
+    dark: useBaseUrl("img/my-collection.png"),
+  }}
+  style={{ width: "30%", margin: "20px auto" }}
+/>
+
+* **Folders**: Users can organize their projects into folders. Default folders include "My Projects" and the ability to create new folders. Hover over a folder to access options to download or delete it.
+
+* **Search Bar** Enables users to quickly search through their flows and components.
+
+* **Select All**: This feature allows users to select all projects displayed on the page for batch actions like moving, deleting, or exporting.
+
+Click on a flow card to open it in Langflow Workspace or use the **Playground Button** for direct access to execute and interact with the flow’s chatbot interface.
+
+## Collections
+
+Components created or imported by the user are also displayed in **My Collection** and can be directly removed from here.
+
+A collection is a snapshot of flows available in a database.
+
+Collections can be downloaded to local storage and uploaded for future use.
+
+<div
+  style={{ marginBottom: "20px", display: "flex", justifyContent: "center" }}
+>
+  <ReactPlayer playing controls url="/videos/langflow_collection.mp4" />
+</div>
+
+## Project
+
+A **Project** can be a flow or a component. To view your saved projects, select **My Collection**.
+
+Your **Projects** are displayed.
+
+Click the **![Playground icon](/logos/botmessage.svg) Playground** button to run a flow from the **My Collection** screen.
+
+In the top left corner of the screen are options for **Download Collection**, **Upload Collection**, and **New Project**.
+
+Select **Download Collection** to save your project to your local machine. This downloads all flows and components as a `.json` file.
+
+Select **Upload Collection** to upload a flow or component `.json` file from your local machine.
+
+Select **New Project** to create a new project. In addition to a blank workspace, [starter projects](../starter-projects/basic-prompting) are also available.
+
+## Project options menu
+
+To see options for your project, in the upper left corner of the workspace, select the dropdown menu.
+
+<ZoomableImage
+  alt="Docusaurus themed image"
+  sources={{
+    light: useBaseUrl("img/project-options-menu-light.png"),
+    dark: useBaseUrl("img/project-options-menu-dark.png"),
+  }}
+  style={{ width: "30%", margin: "20px auto" }}
+/>
+
+* **New** - Start a new project.
+
+* **Duplicate** - Duplicate the current flow as a new project.
+
+* **Settings** - Modify the project's **Name** or **Description**.
+
+* **Import** - Upload a flow `.json` file from your local machine.
+
+* **Export** - Download your current project to your local machine as a `.json` file.
+
+* **Undo** or **Redo** - Undo or redo your last action.
+
+## Project folders
+
+Multiple projects can be stored in **folders**.
+
+Folders allow you to categorize flows and components into manageable groups. This makes it easier to find and access specific projects quickly.
+
+**My Projects** is a default folder where all new projects and components are initially stored unless specified otherwise. Users can create custom folders to better organize their work according to specific needs.
+
+Hovering over a folder in Langflow provides options to either remove or download the entire folder, allowing you to keep an offline copy or migrate projects between environments
+
+Create new folders with the **New folder** button. One folder can store multiple projects (as the default My Projects folder does).
+
+You can download folders of projects as a single JSON file, and upload files and flows to your folder.
+
+Click the **Trash** icon to delete a folder.
+
+
+
diff --git a/docs/docs/administration/global-env.mdx b/docs/docs/administration/global-env.mdx
new file mode 100644
index 00000000000..fa8f7ff5d24
--- /dev/null
+++ b/docs/docs/administration/global-env.mdx
@@ -0,0 +1,109 @@
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+import ReactPlayer from "react-player";
+import Admonition from "@theme/Admonition";
+
+# Global Variables
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+Global Variables are a useful feature of Langflow, allowing you to define reusable variables accessed from any Text field in your project.
+
+**TL;DR**
+
+- Global Variables are reusable variables accessible from any Text field in your project.
+- To create one, click the 🌐 button in a Text field and then **+ Add New Variable**.
+- Define the **Name**, **Type**, and **Value** of the variable.
+- Click **Save Variable** to create it.
+- All Credential Global Variables are encrypted and accessible only by you.
+- Set _`LANGFLOW_STORE_ENVIRONMENT_VARIABLES`_ to _`true`_ in your `.env` file to add all variables in _`LANGFLOW_VARIABLES_TO_GET_FROM_ENVIRONMENT`_ to your user's Global Variables.
+
+## Create and Add a Global Variable
+
+To create and add a global variable, click the 🌐 button in a Text field, and then click **+ Add New Variable**.
+
+Text fields are where you write text without opening a Text area, and are identified with the 🌐 icon.
+
+For example, to create an environment variable for the **OpenAI** component:
+
+1.  In the **OpenAI API Key** text field, click the 🌐 button, then **Add New Variable**.
+2.  Enter `openai_api_key` in the **Variable Name** field.
+3.  Paste your OpenAI API Key (`sk-...`) in the **Value** field.
+4.  Select **Credential** for the **Type**.
+5.  Choose **OpenAI API Key** in the **Apply to Fields** field to apply this variable to all fields named **OpenAI API Key**.
+6.  Click **Save Variable**.
+
+You now have a `openai_api_key` global environment variable for your Langflow project.
+Subsequently, clicking the 🌐 button in a Text field will display the new variable in the dropdown.
+
+<Admonition type="tip">
+  You can also create global variables in **Settings** > **Variables and
+  Secrets**.
+</Admonition>
+
+<ZoomableImage
+  alt="Docusaurus themed image"
+  sources={{
+    light: "img/global-env.png",
+    dark: "img/global-env.png",
+  }}
+  style={{ width: "40%", margin: "20px auto" }}
+/>
+
+To view and manage your project's global environment variables, visit **Settings** > **Variables and Secrets**.
+
+For more on variables in HuggingFace Spaces, see [Managing Secrets](https://huggingface.co/docs/hub/spaces-overview#managing-secrets).
+
+{/* All variables are encrypted */}
+
+<Admonition type="warning">
+  All Credential Global Variables are encrypted and accessible only by you.
+</Admonition>
+
+## Configure Environment Variables in your .env file
+
+Setting `LANGFLOW_STORE_ENVIRONMENT_VARIABLES` to `true` in your `.env` file (default) adds all variables in `LANGFLOW_VARIABLES_TO_GET_FROM_ENVIRONMENT` to your user's Global Variables.
+
+These variables are accessible like any other Global Variable.
+
+<Admonition type="tip">
+  To prevent this behavior, set `LANGFLOW_STORE_ENVIRONMENT_VARIABLES` to
+  `false` in your `.env` file.
+</Admonition>
+
+You can specify variables to get from the environment by listing them in `LANGFLOW_VARIABLES_TO_GET_FROM_ENVIRONMENT`.
+
+Specify variables as a comma-separated list (e.g., _`"VARIABLE1, VARIABLE2"`_) or a JSON-encoded string (e.g., _`'["VARIABLE1", "VARIABLE2"]'`_).
+
+The default list of variables includes:
+
+- ANTHROPIC_API_KEY
+- ASTRA_DB_API_ENDPOINT
+- ASTRA_DB_APPLICATION_TOKEN
+- AZURE_OPENAI_API_KEY
+- AZURE_OPENAI_API_DEPLOYMENT_NAME
+- AZURE_OPENAI_API_EMBEDDINGS_DEPLOYMENT_NAME
+- AZURE_OPENAI_API_INSTANCE_NAME
+- AZURE_OPENAI_API_VERSION
+- COHERE_API_KEY
+- GOOGLE_API_KEY
+- GROQ_API_KEY
+- HUGGINGFACEHUB_API_TOKEN
+- OPENAI_API_KEY
+- PINECONE_API_KEY
+- SEARCHAPI_API_KEY
+- SERPAPI_API_KEY
+- UPSTASH_VECTOR_REST_URL
+- UPSTASH_VECTOR_REST_TOKEN
+- VECTARA_CUSTOMER_ID
+- VECTARA_CORPUS_ID
+- VECTARA_API_KEY
+
+<div
+  style={{ marginBottom: "20px", display: "flex", justifyContent: "center" }}
+>
+  <ReactPlayer playing controls url="/videos/langflow_global_variables.mp4" />
+</div>
diff --git a/docs/docs/guidelines/login.mdx b/docs/docs/administration/login.mdx
similarity index 85%
rename from docs/docs/guidelines/login.mdx
rename to docs/docs/administration/login.mdx
index fde7cd09a29..65ed2c178b3 100644
--- a/docs/docs/guidelines/login.mdx
+++ b/docs/docs/administration/login.mdx
@@ -4,13 +4,15 @@ import ZoomableImage from "/src/theme/ZoomableImage.js";
 import ReactPlayer from "react-player";
 import Admonition from "@theme/Admonition";
 
-# Sign up and Sign in
+# Sign Up and Sign In
 
-## Introduction
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
 
 The login functionality in Langflow serves to authenticate users and protect sensitive routes in the application. Starting from version 0.5, Langflow introduces an enhanced login mechanism that is governed by a few environment variables. This allows new secure features.
 
-## Environment Variables
+## Environment variables
 
 The following environment variables are crucial in configuring the login settings:
 
@@ -68,7 +70,7 @@ export LANGFLOW_SECRET_KEY=randomly_generated_secure_key
 
 By default, this variable is set to `False`. When enabled (`True`), new users are automatically activated and can log in without requiring explicit activation by the superuser.
 
-## Command-Line Interface
+## Manage superusers with the CLI
 
 Langflow provides a command-line utility for managing superusers:
 
@@ -78,7 +80,7 @@ langflow superuser
 
 This command prompts you to enter the username and password for the superuser, unless they are already set using environment variables.
 
-## Sign-up
+## Sign in
 
 With _`LANGFLOW_AUTO_LOGIN`_ set to _`False`_, Langflow requires users to sign up before they can log in. The sign-up page is the default landing page when a user visits Langflow for the first time.
 
@@ -88,12 +90,12 @@ With _`LANGFLOW_AUTO_LOGIN`_ set to _`False`_, Langflow requires users to sign u
     light: useBaseUrl("img/sign-up.png"),
     dark: useBaseUrl("img/sign-up.png"),
   }}
-  style={{ width: "50%", maxWidth: "600px", margin: "0 auto" }}
+  style={{ width: "40%", margin: "20px auto" }}
 />
 
 ## Profile settings
 
-Users can change their profile settings by clicking on the profile icon in the top right corner of the application. This opens a dropdown menu with the following options:
+Once signed in, you can change your profile settings by clicking on the profile icon in the top right corner of the Langflow dashboard. This opens a dropdown menu with the following options:
 
 - **Admin Page**: Opens the admin page, which is only accessible to the superuser.
 - **Profile Settings**: Opens the profile settings page.
@@ -105,10 +107,10 @@ Users can change their profile settings by clicking on the profile icon in the t
     light: useBaseUrl("img/my-account.png"),
     dark: useBaseUrl("img/my-account.png"),
   }}
-  style={{ width: "50%", maxWidth: "600px", margin: "0 auto" }}
+  style={{ maxWidth: "600px", margin: "20px auto" }}
 />
 
-By clicking on **Profile Settings**, the user is taken to the profile settings page, where they can change their password and their profile picture.
+Select **Profile Settings** to change your password and your profile picture.
 
 <ZoomableImage
   alt="Docusaurus themed image"
@@ -116,10 +118,10 @@ By clicking on **Profile Settings**, the user is taken to the profile settings p
     light: useBaseUrl("img/profile-settings.png"),
     dark: useBaseUrl("img/profile-settings.png"),
   }}
-  style={{ maxWidth: "600px", margin: "0 auto" }}
+  style={{ maxWidth: "600px", margin: "20px auto" }}
 />
 
-By clicking on **Admin Page**, the superuser is taken to the admin page, where they can manage users and groups.
+Select **Admin Page** to manage users and groups as the superuser.
 
 <ZoomableImage
   alt="Docusaurus themed image"
diff --git a/docs/docs/administration/logs.mdx b/docs/docs/administration/logs.mdx
new file mode 100644
index 00000000000..85c1497bee7
--- /dev/null
+++ b/docs/docs/administration/logs.mdx
@@ -0,0 +1,28 @@
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+import ReactPlayer from "react-player";
+import Admonition from "@theme/Admonition";
+
+# Logs
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+To view logs, go to **Project Options** > **Logs**.
+
+The **Logs** page provides a detailed record of all component executions within a workspace.
+
+It is designed to help you track actions, debug issues, and understand the flow of data through various components.
+
+Each log entry includes an execution with source and target components, and displays the data and parameters passed from one component to another. The status of each execution is indicated and errors encountered are easily detected.
+
+<ZoomableImage
+  alt="Docusaurus themed image"
+  sources={{
+    light: "img/playground-logs.png",
+    dark: "img/playground-logs.png",
+  }}
+  style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }}
+/>
\ No newline at end of file
diff --git a/docs/docs/administration/memories.mdx b/docs/docs/administration/memories.mdx
new file mode 100644
index 00000000000..5946590ecb9
--- /dev/null
+++ b/docs/docs/administration/memories.mdx
@@ -0,0 +1,38 @@
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+import Admonition from "@theme/Admonition";
+
+# Chat Memory
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+Langflow allows every chat message to be stored, and a single flow can have multiple memory sessions. This enables you to create multiple “memories” for agents to store and recall specific information as needed. You can edit and remove previous messages to inspect and validate a model’s response behavior. Control, explore, and manage conversation histories to get your models acting just right.
+
+The **Chat Memory** component retrieves message histories by session ID. Users can change the session ID in the advanced settings, with the default session ID set to match the flow ID. These memories are accessible and manageable directly from the Playground; modifications to them directly affect the behavior of chatbot responses. Users can remove or edit previous messages to manipulate and explore model responses further.
+
+<ZoomableImage
+  alt="Docusaurus themed image"
+  sources={{
+    light: "img/chat-memory-component.png",
+    dark: "img/chat-memory-component.png",
+  }}
+  style={{ width: "40%", margin: "20px auto" }}
+/>
+
+By default, chat conversations store Message objects categorized by session ID. A a single flow can host multiple session IDs, and different flows can also share the same session ID.
+
+Memories can be visualized and managed directly from the Playground. Modifying these memories will influence the behavior of the chatbot responses, as long as an agent uses them. Here you have the ability to remove or edit previous messages, allowing them to manipulate and explore how these changes affect model responses.
+
+<ZoomableImage
+  alt="Docusaurus themed image"
+  sources={{
+    light: "img/playground-memories.png",
+    dark: "img/playground-memories.png",
+  }}
+  style={{ width: "40%", margin: "20px auto" }}
+/>
+
+You can also display all messages stored across every flow in your workspace by going to **Settings** > **Messages**.
\ No newline at end of file
diff --git a/docs/docs/administration/playground.mdx b/docs/docs/administration/playground.mdx
new file mode 100644
index 00000000000..1ef59e08b9a
--- /dev/null
+++ b/docs/docs/administration/playground.mdx
@@ -0,0 +1,69 @@
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+import ReactPlayer from "react-player";
+import Admonition from "@theme/Admonition";
+
+# Playground
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+<Admonition type="info">
+  From the **My Collection** page, click the Playground button in one of your flow cards.
+  It will directly open up a window with that project's Playground, without even showing the flow (this also works for flows hosted on the Langflow Store!).
+</Admonition>
+
+The **Playground** is a dynamic interface designed for real-time interaction with agents, allowing users to access and manage memories and monitor the inputs and outputs. Here, users can directly prototype and experiment with their configured components or AI models, making adjustments and observing different outcomes in real-time.
+
+It even works for flows hosted on the Langflow store!
+
+As long as you have a flow properly working, you can interact with it by clicking the Playground button.
+
+1. From your **Collections** page, click the **![Playground icon](/logos/botmessage.svg)Playground** in one of your flows.
+   The **Playground** window opens.
+
+<ZoomableImage
+  alt="Docusaurus themed image"
+  sources={{
+    light: useBaseUrl("img/playground-chat.png"),
+    dark: useBaseUrl("img/playground-chat.png"),
+  }}
+  style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }}
+/>
+
+2. Chat with your bot as you normally would, all without having to open the editor.
+
+<div
+  style={{ marginBottom: "20px", display: "flex", justifyContent: "center" }}
+>
+  <ReactPlayer playing controls url="/videos/langflow_playground.mp4" />
+</div>
+
+## Playground I/O
+
+The Playground's window arrangement changes depending on what components are being used.
+
+Adding or removing any of the below components modifies your Playground so you can monitor the inputs and outputs.
+
+- Chat Input
+- Text Input
+- Chat Output
+- Text Output
+- Data Output
+- Inspect Memory
+
+You can also select **Options** > **Logs** to see your flow's logs.
+
+For more information, see [Inputs and Outputs](../components/inputs-and-outputs).
+
+## Memory Management
+
+When you send a message, under **Memories**, you can view a table of previous interactions for this session.
+
+Langflow allows every chat message to be stored, and a single flow can have multiple memory sessions. This enables you to create multiple “memories” for agents to store and recall specific information as needed.
+
+You can edit and remove previous messages to inspect and validate a model’s response behavior.
+
+For more information, see [Memories](./memories).
diff --git a/docs/docs/guidelines/prompt-customization.mdx b/docs/docs/administration/prompt-customization.mdx
similarity index 94%
rename from docs/docs/guidelines/prompt-customization.mdx
rename to docs/docs/administration/prompt-customization.mdx
index 2a1b1f2106e..661610611c1 100644
--- a/docs/docs/guidelines/prompt-customization.mdx
+++ b/docs/docs/administration/prompt-customization.mdx
@@ -5,6 +5,10 @@ import ReactPlayer from "react-player";
 
 # Prompt Customization
 
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
 The prompt template allows users to create prompts and define variables that provide control over instructing the model.
 
 {" "}
diff --git a/docs/docs/administration/settings.mdx b/docs/docs/administration/settings.mdx
new file mode 100644
index 00000000000..dba6da78beb
--- /dev/null
+++ b/docs/docs/administration/settings.mdx
@@ -0,0 +1,60 @@
+import Admonition from "@theme/Admonition";
+
+# Settings
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+Change the **Project Settings** or **General Settings** for Langflow.
+
+## Project Settings
+
+Click **Project Name** > **Settings** to view your **Project Settings**.
+
+* **Name** - the name of your project.
+
+* **Description** - the description for your project.
+Visible on the Langflow Store.
+
+* **Endpoint name** - the custom endpoint name for your project's API endpoint.
+To use the default value, leave this field blank.
+
+## General Settings
+
+Select your **Profile Picture** > **Settings** to view your **General Settings**.
+
+### Profile Picture
+
+Select a profile picture.
+
+### Store API Key
+
+Add your **Langflow Store** API key.
+To get a Store key, go to the [Langflow store](https://www.langflow.store/).
+
+### Global Variables
+
+Select **Add New** to add a key to Langflow.
+
+Select the **trash icon** to delete a key.
+
+For more information, see [Global Variables](./global-env).
+
+### Langflow API
+
+Create a Langflow API key.
+
+Click **Add New** > **Create Secret Key** and copy the key somewhere safe and accessible.
+
+For more information, see [Langflow API](./api).
+
+### Shortcuts
+
+A list of keyboard shortcuts for Langflow.
+
+### Messages
+
+Inspect, edit, and remove messages in your flow for testing and debugging purposes.
+
+For more information, see the [Playground](./playground).
\ No newline at end of file
diff --git a/docs/docs/components/agents.mdx b/docs/docs/components/agents.mdx
index c9d88f331e1..4482c063712 100644
--- a/docs/docs/components/agents.mdx
+++ b/docs/docs/components/agents.mdx
@@ -1,91 +1,88 @@
-import Admonition from '@theme/Admonition';
+import Admonition from "@theme/Admonition";
 
 # Agents
 
-<Admonition type="caution" icon="🚧" title="ZONE UNDER CONSTRUCTION">
-    <p>
-        We appreciate your understanding as we polish our documentation – it may contain some rough edges. Share your feedback or report issues to help us improve! 🛠️📝
-    </p>
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
 </Admonition>
 
-
-Agents are components that use reasoning to make decisions and take actions, designed to autonomously perform tasks or provide services with some degree of “freedom” (or agency). They combine the power of LLM chaining processes with access to external tools such as APIs to interact with applications and accomplish tasks.
+Agents are components that use reasoning to make decisions and take actions, designed to autonomously perform tasks or provide services with some degree of agency. LLM chains can only perform hardcoded sequences of actions, while agents use LLMs to reason through which actions to take, and in which order.
 
 ---
 
 ### AgentInitializer
 
-The `AgentInitializer` component is a quick way to construct a zero-shot agent from a language model (LLM) and tools.
+The `AgentInitializer` constructs a zero-shot agent from a language model (LLM) and additional tools.
 
-**Params**
+**Parameters**:
 
-- **LLM:** Language Model to use in the `AgentInitializer`.
-- **Memory:** Used to add memory functionality to an agent. It allows the agent to store and retrieve information from previous conversations.
-- **Tools:** Tools that the agent will have access to.
-- **Agent:** The type of agent to be instantiated. Current supported: `zero-shot-react-description`, `react-docstore`, `self-ask-with-search,conversational-react-description` and `openai-functions`.
+- **LLM:** The language model used by the `AgentInitializer`.
+- **Memory:** Enables memory functionality, allowing the agent to recall and use information from previous interactions.
+- **Tools:** The tools available to the agent.
+- **Agent:** Specifies the type of agent to instantiate. Currently supported types include `zero-shot-react-description`, `react-docstore`, `self-ask-with-search`, `conversational-react-description`, and `openai-functions`.
 
 ---
 
 ### CSVAgent
 
-A `CSVAgent` is an agent that is designed to interact with CSV (Comma-Separated Values) files. CSV files are a common format for storing tabular data, where each row represents a record and each column represents a field. The CSV agent can perform various tasks, such as reading and writing CSV files, processing the data, and generating tables. It can extract information from the CSV file, manipulate the data, and perform operations like filtering, sorting, and aggregating.
+The `CSVAgent` interacts with CSV (Comma-Separated Values) files, commonly used to store tabular data. Each row in a CSV file represents a record, and each column represents a field. The CSV agent can read and write CSV files, process data, and perform tasks such as filtering, sorting, and aggregating.
 
-**Params**
+**Parameters**:
 
-- **LLM:** Language Model to use in the `CSVAgent`.
-- **path:** The file path to the CSV data.
+- **LLM:** The language model used by the `CSVAgent`.
+- **Path:** The file path to the CSV data.
 
 ---
 
 ### JSONAgent
 
-The `JSONAgent` deals with JSON (JavaScript Object Notation) data. Similar to the CSVAgent, it works with a language model (LLM) and a toolkit designed for JSON manipulation. This agent can iteratively explore a JSON blob to find the information needed to answer the user's question. It can list keys, get values, and navigate through the structure of the JSON object.
+The `JSONAgent` manages JSON (JavaScript Object Notation) data. This agent, like the CSVAgent, uses a language model (LLM) and a toolkit for JSON manipulation. It can explore a JSON blob to extract needed information, list keys, retrieve values, and navigate through the JSON structure.
 
-**Params**
+**Parameters**:
 
-- **LLM:** Language Model to use in the `JSONAgent`.
-- **Toolkit:** Toolkit that the agent will have access to.
+- **LLM:** The language model used by the `JSONAgent`.
+- **Toolkit:** The toolkit available to the agent.
 
 ---
 
 ### SQLAgent
 
-A `SQLAgent` is an agent that is designed to interact with SQL databases. It is capable of performing various tasks, such as querying the database, retrieving data, and executing SQL statements. The agent can provide information about the structure of the database, including the tables and their schemas. It can also perform operations like inserting, updating, and deleting data in the database. The SQL agent is a helpful tool for managing and working with SQL databases efficiently.
+The `SQLAgent` interacts with SQL databases, capable of querying, retrieving data, and executing SQL statements. It provides insights into the database structure, including tables and schemas, and can perform operations such as insertions, updates, and deletions.
 
-**Params**
+**Parameters**:
 
-- **LLM:** Language Model to use in the `SQLAgent`.
-- **database_uri:** A string representing the connection URI for the SQL database.
+- **LLM:** The language model used by the `SQLAgent`.
+- **Database URI:** The connection URI for the SQL database.
 
 ---
 
 ### VectorStoreAgent
 
-The `VectorStoreAgent` is designed to work with a vector store – a data structure used for storing and querying vector-based representations of data. The `VectorStoreAgent` can query the vector store to find relevant information based on user inputs.
+The `VectorStoreAgent` operates with a vector store, which is a data structure for storing and querying vector-based data representations. This agent can query the vector store to find information relevant to user inputs.
 
-**Params**
+**Parameters**:
 
-- **LLM:** Language Model to use in the `VectorStoreAgent`.
-- **Vector Store Info:** `VectorStoreInfo` to use in the `VectorStoreAgent`.
+- **LLM:** The language model used by the `VectorStoreAgent`.
+- **Vector Store Info:** The `VectorStoreInfo` used by the agent.
 
 ---
 
 ### VectorStoreRouterAgent
 
-The `VectorStoreRouterAgent` is a custom agent that takes a vector store router as input. It is typically used when there’s a need to retrieve information from multiple vector stores. These can be connected through a `VectorStoreRouterToolkit` and sent over to the `VectorStoreRouterAgent`. An agent configured with multiple vector stores can route queries to the appropriate store based on the context.
+The `VectorStoreRouterAgent` is a custom agent that uses a vector store router. It is typically used to retrieve information from multiple vector stores connected through a `VectorStoreRouterToolkit`.
 
-**Params**
+**Parameters**:
 
-- **LLM:** Language Model to use in the `VectorStoreRouterAgent`.
-- **Vector Store Router Toolkit:** `VectorStoreRouterToolkit` to use in the `VectorStoreRouterAgent`.
+- **LLM:** The language model used by the `VectorStoreRouterAgent`.
+- **Vector Store Router Toolkit:** The toolkit used by the agent.
 
 ---
 
 ### ZeroShotAgent
 
-The `ZeroShotAgent` is an agent that uses the ReAct framework to determine which tool to use based solely on the tool's description. It can be configured with any number of tools and requires a description for each tool. The agent is designed to be the most general-purpose action agent. It uses an `LLMChain` to determine which actions to take and in what order.
+The `ZeroShotAgent` uses the ReAct framework to decide which tool to use based on the tool's description. It is the most general-purpose action agent, capable of determining the necessary actions and their sequence through an `LLMChain`.
 
-**Params**
+**Parameters**:
 
-- **Allowed Tools:** Tools that the agent will have access to.
-- **LLM Chain:** LLM Chain to be used by the agent.
\ No newline at end of file
+- **Allowed Tools:** The tools accessible to the agent.
+- **LLM Chain:** The LLM Chain used by the agent.
diff --git a/docs/docs/components/chains.mdx b/docs/docs/components/chains.mdx
index a79c4a97a35..3d4b60b6a9d 100644
--- a/docs/docs/components/chains.mdx
+++ b/docs/docs/components/chains.mdx
@@ -5,144 +5,62 @@ import Admonition from "@theme/Admonition";
 
 # Chains
 
-<Admonition type="caution" icon="🚧" title="ZONE UNDER CONSTRUCTION">
-  <p>
-    We appreciate your understanding as we polish our documentation – it may
-    contain some rough edges. Share your feedback or report issues to help us
-    improve! 🛠️📝
-  </p>
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
 </Admonition>
 
-Chains, in the context of language models, refer to a series of calls made to a language model. It allows for the output of one call to be used as the input for another call. Different types of chains allow for different levels of complexity. Chains are useful for creating pipelines and executing specific scenarios.
+Chains, in the context of language models, refer to a series of calls made to a language model. This approach allows for using the output of one call as the input for another. Different chain types facilitate varying complexity levels, making them useful for creating pipelines and executing specific scenarios.
 
 ---
 
-### CombineDocsChain
+## CombineDocsChain
 
-The `CombineDocsChain` incorporates methods to combine or aggregate loaded documents for question-answering functionality.
+`CombineDocsChain` includes methods to combine or aggregate loaded documents for question-answering functionality.
 
-<Admonition type="info">
+Acts as a proxy for LangChain’s [documents](https://python.langchain.com/docs/modules/chains/document/) chains produced by the `load_qa_chain` function.
 
-Works as a proxy of LangChain’s [documents](https://python.langchain.com/docs/modules/chains/document/) chains generated by the `load_qa_chain` function.
-
-</Admonition>
-
-**Params**
+**Parameters**:
 
 - **LLM:** Language Model to use in the chain.
-- **chain_type:** The chain type to be used. Each one of them applies a different “combination strategy”.
-
-  - **stuff**: The stuff [documents](https://python.langchain.com/docs/modules/chains/document/stuff) chain (“stuff" as in "to stuff" or "to fill") is the most straightforward of _the_ document chains. It takes a list of documents, inserts them all into a prompt, and passes that prompt to an LLM. This chain is well-suited for applications where documents are small and only a few are passed in for most calls.
-  - **map_reduce**: The map-reduce [documents](https://python.langchain.com/docs/modules/chains/document/map_reduce) chain first applies an LLM chain to each document individually (the Map step), treating the chain output as a new document. It then passes all the new documents to a separate combined documents chain to get a single output (the Reduce step). It can optionally first compress or collapse the mapped documents to make sure that they fit in the combined documents chain (which will often pass them to an LLM). This compression step is performed recursively if necessary.
-  - **map_rerank**: The map re-rank [documents](https://python.langchain.com/docs/modules/chains/document/map_rerank) chain runs an initial prompt on each document that not only tries to complete a task but also gives a score for how certain it is in its answer. The highest-scoring response is returned.
-  - **refine**: The refine [documents](https://python.langchain.com/docs/modules/chains/document/refine) chain constructs a response by looping over the input documents and iteratively updating its answer. For each document, it passes all non-document inputs, the current document, and the latest intermediate answer to an LLM chain to get a new answer.
-
-    Since the Refine chain only passes a single document to the LLM at a time, it is well-suited for tasks that require analyzing more documents than can fit in the model's context. The obvious tradeoff is that this chain will make far more LLM calls than, for example, the Stuff documents chain. There are also certain tasks that are difficult to accomplish iteratively. For example, the Refine chain can perform poorly when documents frequently cross-reference one another or when a task requires detailed information from many documents.
+- **chain_type:** Type of chain to be used, each applying a different combination strategy:
+  - **stuff**: Most straightforward document chain. It takes a list of documents, inserts them all into a prompt, and passes that prompt to an LLM. Suitable for cases where documents are small and few.
+  - **map_reduce**: Applies an LLM to each document individually (the `Map` step), treating the output as a new document. It then combines these documents to get a single output (the `Reduce` step). Compression may occur to ensure documents fit in the final chain.
+  - **map_rerank**: Runs an initial prompt on each document to complete a task and score its certainty. Returns the highest-scoring response.
+  - **refine**: Iteratively updates its answer by looping over the input documents. Each document, along with the latest intermediate answer, is passed to an LLM to generate a new response. This method suits tasks requiring analysis of more documents than the model's context can handle, though it can be less effective for tasks requiring detailed cross-referencing or comprehensive information.
 
 ---
 
-### ConversationChain
+## ConversationChain
 
-The `ConversationChain` is a straightforward chain for interactive conversations with a language model, making it ideal for chatbots or virtual assistants. It allows for dynamic conversations, question-answering, and complex dialogues.
+`ConversationChain` facilitates dynamic, interactive conversations with a language model, ideal for chatbots or virtual assistants.
 
-**Params**
+**Parameters**:
 
 - **LLM:** Language Model to use in the chain.
 - **Memory:** Default memory store.
-- **input_key:** Used to specify the key under which the user input will be stored in the conversation memory. It allows you to provide the user's input to the chain for processing and generating a response.
-- **output_key:** Used to specify the key under which the generated response will be stored in the conversation memory. It allows you to retrieve the response using the specified key.
-- **verbose:** This parameter is used to control the level of detail in the output of the chain. When set to True, it will print out some internal states of the chain while it is being run, which can be helpful for debugging and understanding the chain's behavior. If set to False, it will suppress the verbose output — defaults to `False`.
+- **input_key:** Specifies the key under which user input is stored in the conversation memory, enabling the chain to process and generate responses.
+- **output_key:** Specifies the key under which the generated response is stored, allowing retrieval of the response using this key.
+- **verbose:** Controls the verbosity of the chain's output. Set to `True` to enable detailed internal state outputs, useful for debugging and understanding the chain's behavior. Defaults to `False`.
 
 ---
 
-### ConversationalRetrievalChain
-
-The `ConversationalRetrievalChain` extracts information and provides answers by combining document search and question-answering abilities.
+## ConversationalRetrievalChain
 
-<Admonition type="info">
+`ConversationalRetrievalChain` combines document search with question-answering capabilities, extracting information and providing answers.
 
-A retriever is a component that finds documents based on a query. It doesn't store the documents themselves, but it returns the ones that match the query.
+A retriever finds documents based on a query but doesn’t store them; it returns the documents matching the query.
 
-</Admonition >
-
-**Params**
+**Parameters**:
 
 - **LLM:** Language Model to use in the chain.
 - **Memory:** Default memory store.
 - **Retriever:** The retriever used to fetch relevant documents.
-- **chain_type:** The chain type to be used. Each one of them applies a different “combination strategy”.
-
-  - **stuff**: The stuff [documents](https://python.langchain.com/docs/modules/chains/document/stuff) chain (“stuff" as in "to stuff" or "to fill") is the most straightforward of _the_ document chains. It takes a list of documents, inserts them all into a prompt, and passes that prompt to an LLM. This chain is well-suited for applications where documents are small and only a few are passed in for most calls.
-  - **map_reduce**: The map-reduce [documents](https://python.langchain.com/docs/modules/chains/document/map_reduce) chain first applies an LLM chain to each document individually (the Map step), treating the chain output as a new document. It then passes all the new documents to a separate combined documents chain to get a single output (the Reduce step). It can optionally first compress or collapse the mapped documents to make sure that they fit in the combined documents chain (which will often pass them to an LLM). This compression step is performed recursively if necessary.
-  - **map_rerank**: The map re-rank [documents](https://python.langchain.com/docs/modules/chains/document/map_rerank) chain runs an initial prompt on each document that not only tries to complete a task but also gives a score for how certain it is in its answer. The highest-scoring response is returned.
-  - **refine**: The refine [documents](https://python.langchain.com/docs/modules/chains/document/refine) chain constructs a response by looping over the input documents and iteratively updating its answer. For each document, it passes all non-document inputs, the current document, and the latest intermediate answer to an LLM chain to get a new answer.
-
-    Since the Refine chain only passes a single document to the LLM at a time, it is well-suited for tasks that require analyzing more documents than can fit in the model's context. The obvious tradeoff is that this chain will make far more LLM calls than, for example, the Stuff documents chain. There are also certain tasks that are difficult to accomplish iteratively. For example, the Refine chain can perform poorly when documents frequently cross-reference one another or when a task requires detailed information from many documents.
-
-- **return_source_documents:** Used to specify whether or not to include the source documents that were used to answer the question in the output. When set to `True`, source documents will be included in the output along with the generated answer. This can be useful for providing additional context or references to the user — defaults to `True`.
-- **verbose:** Whether or not to run in verbose mode. In verbose mode, intermediate logs will be printed to the console — defaults to `False`.
-
----
-
-### LLMChain
-
-The `LLMChain` is a straightforward chain that adds functionality around language models. It combines a prompt template with a language model. To use it, create input variables to format the prompt template. The formatted prompt is then sent to the language model, and the generated output is returned as the result of the `LLMChain`.
-
-**Params**
-
-- **LLM:** Language Model to use in the chain.
-- **Memory:** Default memory store.
-- **Prompt**: Prompt template object to use in the chain.
-- **output_key:** This parameter is used to specify which key in the LLM output dictionary should be returned as the final output. By default, the `LLMChain` returns both the input and output key values — defaults to `text`.
-- **verbose:** Whether or not to run in verbose mode. In verbose mode, intermediate logs will be printed to the console — defaults to `False`.
+- **chain_type:** Type of chain to be used, each applying a different combination strategy:
+  - **stuff**: Inserts a list of documents into a prompt and passes it to an LLM. Suitable for cases where documents are small and few.
+  - **map_reduce**: Processes each document with an LLM separately, combines them for a single output. Compressions may occur to fit documents into the final chain.
+  - **map_rerank**: Scores responses based on certainty from each document, returns the highest.
+  - **refine**: Updates answers iteratively by looping through documents, passing each with intermediate answers to an LLM for a new response. This method is beneficial for tasks that involve extensive document analysis.
+- **return_source_documents:** Specifies whether to include source documents used in the output. Useful for providing context or references to the user. Defaults to `True`.
+- **verbose:** Controls verbosity of output. Set to `True` for detailed logs, useful for debugging. Defaults to `False`.
 
 ---
-
-### LLMMathChain
-
-The `LLMMathChain` combines a language model (LLM) and a math calculation component. It allows the user to input math problems and get the corresponding solutions.
-
-The `LLMMathChain` works by using the language model with an `LLMChain` to understand the input math problem and generate a math expression. It then passes this expression to the math component, which evaluates it and returns the result.
-
-**Params**
-
-- **LLM:** Language Model to use in the chain.
-- **LLMChain:** LLM Chain to use in the chain.
-- **Memory:** Default memory store.
-- **input_key:** Used to specify the input value for the mathematical calculation. It allows you to provide the specific values or variables that you want to use in the calculation — defaults to `question`.
-- **output_key:** Used to specify the key under which the output of the mathematical calculation will be stored. It allows you to retrieve the result of the calculation using the specified key — defaults to `answer`.
-- **verbose:** Whether or not to run in verbose mode. In verbose mode, intermediate logs will be printed to the console — defaults to `False`.
-
----
-
-### RetrievalQA
-
-`RetrievalQA` is a chain used to find relevant documents or information to answer a given query. The retriever is responsible for returning the relevant documents based on the query, and the QA component then extracts the answer from those documents. The retrieval QA system combines the capabilities of both the retriever and the QA component to provide accurate and relevant answers to user queries.
-
-<Admonition type="info">
-
-A retriever is a component that finds documents based on a query. It doesn't store the documents themselves, but it returns the ones that match the query.
-
-</Admonition >
-
-**Params**
-
-- **Combine Documents Chain:** Chain to use to combine the documents.
-- **Memory:** Default memory store.
-- **Retriever:** The retriever used to fetch relevant documents.
-- **input_key:** This parameter is used to specify the key in the input data that contains the question. It is used to retrieve the question from the input data and pass it to the question-answering model for generating the answer — defaults to `query`.
-- **output_key:** This parameter is used to specify the key in the output data where the generated answer will be stored. It is used to retrieve the answer from the output data after the question-answering model has generated it — defaults to `result`.
-- **return_source_documents:** Used to specify whether or not to include the source documents that were used to answer the question in the output. When set to `True`, source documents will be included in the output along with the generated answer. This can be useful for providing additional context or references to the user — defaults to `True`.
-- **verbose:** Whether or not to run in verbose mode. In verbose mode, intermediate logs will be printed to the console — defaults to `False`.
-
----
-
-### SQLDatabaseChain
-
-The `SQLDatabaseChain` finds answers to questions using a SQL database. It works by using the language model to understand the SQL query and generate the corresponding SQL code. It then passes the SQL code to the SQL database component, which executes the query on the database and returns the result.
-
-**Params**
-
-- **Db:** SQL Database to connect to.
-- **LLM:** Language Model to use in the chain.
-- **Prompt:** Prompt template to translate natural language to SQL.
diff --git a/docs/docs/components/custom.mdx b/docs/docs/components/custom.mdx
index d8c6ff2f51d..10b45c9b788 100644
--- a/docs/docs/components/custom.mdx
+++ b/docs/docs/components/custom.mdx
@@ -1,116 +1,227 @@
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+import ReactPlayer from "react-player";
 import Admonition from "@theme/Admonition";
 
 # Custom Components
 
-Used to create a custom component, a special type of Langflow component that allows users to extend the functionality of the platform by creating their own reusable and configurable components from a Python script.
-
-To use a custom component, follow these steps:
-
-- Create a class that inherits from _`langflow.CustomComponent`_ and contains a _`build`_ method.
-- Use arguments with [Type Annotations (or Type Hints)](https://docs.python.org/3/library/typing.html) of the _`build`_ method to create component fields.
-- If applicable, use the _`build_config`_ method to customize how these fields look and behave.
-
-<Admonition type="info" label="Tip">
-
-For an in-depth explanation of custom components, their rules, and applications, make sure to read [Custom Component guidelines](../guidelines/custom-component).
-
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
 </Admonition>
 
-**Params**
-
-- **Code:** The Python code to define the component.
-
-## The CustomComponent Class
-
-The CustomComponent class serves as the foundation for creating custom components. By inheriting this class, users can create new, configurable components, tailored to their specific requirements.
-
-**Methods**
-
-- **build**: This method is required within a Custom Component class. It defines the component's functionality and specifies how it processes input data to produce output data. This method is called when the component is built (i.e., when you click the _Build_ ⚡ button in the canvas).
-
-  The type annotations of the _`build`_ instance method are used to create the fields of the component.
-
-  | Supported Types                                           |
-  | --------------------------------------------------------- |
-  | _`str`_, _`int`_, _`float`_, _`bool`_, _`list`_, _`dict`_ |
-  | _`langflow.field_typing.NestedDict`_                      |
-  | _`langflow.field_typing.Prompt`_                         |
-  | _`langchain.chains.base.Chain`_                           |
-  | _`langchain.PromptTemplate`_                              |
-  | _`langchain.llms.base.BaseLLM`_                           |
-  | _`langchain.Tool`_                                        |
-  | _`langchain.document_loaders.base.BaseLoader`_            |
-  | _`langchain.schema.Document`_                             |
-  | _`langchain.text_splitters.TextSplitter`_                 |
-  | _`langchain.vectorstores.base.VectorStore`_               |
-  | _`langchain.embeddings.base.Embeddings`_                  |
-  | _`langchain.schema.BaseRetriever`_                        |
-
-  The difference between _`dict`_ and _`langflow.field_typing.NestedDict`_ is that one adds a simple key-value pair field, while the other opens a more robust dictionary editor.
-
-  <Admonition type="info">
-      To use the _`Prompt`_ type, you must also add _`**kwargs`_ to the _`build`_ method. This is because the _`Prompt`_ type passes new arbitrary keyword arguments to it.
-
-      If you want to add the values of the variables to the template you defined, you must format the PromptTemplate inside the CustomComponent class.
-        </Admonition>
-
-
-  <Admonition type="info">
-      Unlike Langchain types, base Python types do not add a
-    [handle](../guidelines/components) to the field by default. To add handles,
-    use the _`input_types`_ key in the _`build_config`_ method.
-        </Admonition>
-
-- **build_config**: Used to define the configuration fields of the component (if applicable). It should always return a dictionary with specific keys representing the field names and corresponding configurations. This method is called when the code is processed (i.e., when you click _Check and Save_ in the code editor). It must follow the format described below:
-
-  - Top-level keys are field names.
-  - Their values are can be of type _`langflow.field_typing.TemplateField`_ or _`dict`_. They specify the behavior of the generated fields.
-
-  Below are the available keys used to configure component fields:
-
-  | Key                        | Description                                                                                                                                                                                                                                                                 |
-  | -------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
-  | _`field_type: str`_        | The type of the field (can be any of the types supported by the _`build`_ method).                                                                                                                                                                                          |
-  | _`is_list: bool`_          | If the field can be a list of values, meaning that the user can manually add more inputs to the same field.                                                                                                                                                                 |
-  | _`options: List[str]`_     | When defined, the field becomes a dropdown menu where a list of strings defines the options to be displayed. If the _`value`_ attribute is set to one of the options, that option becomes default. For this parameter to work, _`field_type`_ should invariably be _`str`_. |
-  | _`multiline: bool`_        | Defines if a string field opens a text editor. Useful for longer texts.                                                                                                                                                                                                     |
-  | _`input_types: List[str]`_ | Used when you want a _`str`_ field to have connectable handles.                                                                                                                                                                                                             |
-  | _`display_name: str`_      | Defines the name of the field.                                                                                                                                                                                                                                              |
-  | _`advanced: bool`_         | Hide the field in the canvas view (displayed component settings only). Useful when a field is for advanced users.                                                                                                                                                           |
-  | _`password: bool`_         | To mask the input text. Useful to hide sensitive text (e.g. API keys).                                                                                                                                                                                                      |
-  | _`required: bool`_         | Makes the field required.                                                                                                                                                                                                                                                   |
-  | _`info: str`_              | Adds a tooltip to the field.                                                                                                                                                                                                                                                |
-  | _`file_types: List[str]`_  | This is a requirement if the _`field_type`_ is _file_. Defines which file types will be accepted. For example, _json_, _yaml_ or _yml_.                                                                                                                                     |
-  | _`range_spec: langflow.field_typing.RangeSpec`_ | This is a requirement if the _`field_type`_ is _`float`_. Defines the range of values accepted and the step size. If none is defined, the default is _`[-1, 1, 0.1]`_.                                                                                 |
-  | _`title_case: bool`_       | Formats the name of the field when _`display_name`_ is not defined. Set it to False to keep the name as you set it in the _`build`_ method.                                                                                                                                 |
-
-  <Admonition type="info" label="Tip">
-
-  Keys _`options`_ and _`value`_ can receive a method or function that returns a list of strings or a string, respectively. This is useful when you want to dynamically generate the options or the default value of a field. A refresh button will appear next to the field in the component, allowing the user to update the options or the default value.
-
-  </Admonition>
-
-
-
-
-- The CustomComponent class also provides helpful methods for specific tasks (e.g., to load and use other flows from the Langflow platform):
-
-  | Method Name    | Description                                                         |
-  | -------------- | ------------------------------------------------------------------- |
-  | _`list_flows`_ | Returns a list of Flow objects with an _`id`_ and a _`name`_.       |
-  | _`get_flow`_   | Returns a Flow object. Parameters are _`flow_name`_ or _`flow_id`_. |
-  | _`load_flow`_  | Loads a flow from a given _`id`_.                                   |
-
-- Useful attributes:
-
-  | Attribute Name | Description                                                                   |
-  | -------------- | ----------------------------------------------------------------------------- |
-  | _`status`_ | Displays the value it receives in the _`build`_ method. Useful for debugging. |
-  | _`field_order`_ | Defines the order the fields will be displayed in the canvas.                  |
-  | _`icon`_ | Defines the emoji (for example, _`:rocket:`_) that will be displayed in the canvas. |
-
-  <Admonition type="info" label="Tip">
-
-  Check out the [FlowRunner](../examples/flow-runner) example to understand how to call a flow from a custom component.
-
-  </Admonition>
+Build custom components in Langflow for various data processing and transformation tasks.
+
+This guide provides a comprehensive overview of how to create custom components using Langflow.
+
+## Basic Structure of a Custom Component
+
+A custom component in Langflow typically includes the following parts:
+
+1. **Class Definition**: Inherits from the `Component` class.
+2. **Component Metadata**: Defines display name, description, and icon.
+3. **Inputs and Outputs**: Specifies the inputs and outputs for the component.
+4. **Processing Logic**: Implements the logic for processing data within the component.
+
+A custom component in Python looks like this:
+
+```python
+from langflow.custom import Component
+from langflow.inputs import MessageTextInput, IntInput, BoolInput, DropdownInput, HandleInput
+from langflow.template import Output
+from langflow.schema import Data, Message
+from typing import List, Optional
+
+class ExampleComponent(Component):
+    display_name = "Example Component"
+    description = "A template for creating custom components."
+    icon = "icon-name"
+
+    inputs = [
+        MessageTextInput(
+            name="input_text",
+            display_name="Input Text",
+            info="Text input for the component.",
+        ),
+        IntInput(
+            name="input_number",
+            display_name="Input Number",
+            info="Numeric input for the component.",
+        ),
+        BoolInput(
+            name="input_boolean",
+            display_name="Input Boolean",
+            info="Boolean input for the component.",
+        ),
+        DropdownInput(
+            name="input_choice",
+            display_name="Input Choice",
+            options=["Option1", "Option2", "Option3"],
+            info="Dropdown input for the component.",
+        ),
+    ]
+
+    outputs = [
+        Output(display_name="Output Data", name="output_data", method="process_data"),
+    ]
+
+    def process_data(self) -> Data:
+        input_text = self.input_text
+        input_number = self.input_number
+        input_boolean = self.input_boolean
+        input_choice = self.input_choice
+
+        # Implement your processing logic here
+        result = f"Processed: {input_text}, {input_number}, {input_boolean}, {input_choice}"
+
+        self.status = result
+        return Data(data={"result": result})
+
+```
+
+## Create a Custom Component Step-by-Step
+
+1. Create a class that inherits from the `Component` class.
+
+```python
+class ExampleComponent(Component):
+    # Class content
+```
+
+2. Define metadata such as `display_name`, `description`, and `icon`.
+
+```python
+display_name = "Example Component"
+description = "A template for creating custom components."
+icon = "icon-name"
+```
+
+3. Define the inputs and outputs for the component using the `inputs` and `outputs` lists.
+
+**Inputs** can be of various types such as `TextInput`, `IntInput`, `BoolInput`, `DropdownInput`, etc.
+
+```python
+inputs = [
+    MessageTextInput(
+        name="input_text",
+        display_name="Input Text",
+        info="Text input for the component.",
+    ),
+    IntInput(
+        name="input_number",
+        display_name="Input Number",
+        info="Numeric input for the component.",
+    ),
+    BoolInput(
+        name="input_boolean",
+        display_name="Input Boolean",
+        info="Boolean input for the component.",
+    ),
+    DropdownInput(
+        name="input_choice",
+        display_name="Input Choice",
+        options=["Option1", "Option2", "Option3"],
+        info="Dropdown input for the component.",
+    ),
+]
+
+```
+
+**Outputs** define the output methods for the component.
+
+```python
+outputs = [
+    Output(display_name="Output Data", name="output_data", method="process_data"),
+]
+```
+
+4. Implement the logic for processing data within the component. Define methods for processing data and returning results.
+
+```python
+def process_data(self) -> Data:
+    input_text = self.input_text
+    input_number = self.input_number
+    input_boolean = self.input_boolean
+    input_choice = self.input_choice
+
+    # Implement your processing logic here
+    result = f"Processed: {input_text}, {input_number}, {input_boolean}, {input_choice}"
+
+    self.status = result
+    return Data(data={"result": result})
+
+```
+
+## Advanced Example: Create a Conditional Router Component
+
+This example demonstrates a more complex component that routes data based on a condition.
+
+Notice that this component has two outputs associated with the methods `true_response` and `false_response`.
+
+These methods trigger `self.stop` to block the transmission for the selected output, allowing for logic operations to be implemented visually.
+
+```python
+from langflow.custom import Component
+from langflow.inputs import MessageTextInput, DropdownInput, BoolInput
+from langflow.template import Output
+from langflow.field_typing import Text
+
+class ConditionalRouterComponent(Component):
+    display_name = "Conditional Router"
+    description = "Routes input based on a specified condition."
+    icon = "router"
+
+    inputs = [
+        MessageTextInput(
+            name="input_value",
+            display_name="Input Value",
+            info="Value to be evaluated.",
+        ),
+        MessageTextInput(
+            name="comparison_value",
+            display_name="Comparison Value",
+            info="Value to compare against.",
+        ),
+        DropdownInput(
+            name="operator",
+            display_name="Operator",
+            options=["equals", "not equals", "contains"],
+            info="Comparison operator.",
+        ),
+    ]
+
+    outputs = [
+        Output(display_name="True Output", name="true_output", method="true_response"),
+        Output(display_name="False Output", name="false_response", method="false_response"),
+    ]
+
+    def evaluate_condition(self, input_value: str, comparison_value: str, operator: str) -> bool:
+        if operator == "equals":
+            return input_value == comparison_value
+        elif operator == "not equals":
+            return input_value != comparison_value
+        elif operator == "contains":
+            return comparison_value in input_value
+        return False
+
+    def true_response(self) -> Text:
+        if self.evaluate_condition(self.input_value, self.comparison_value, self.operator):
+            self.stop("false_response")
+            return self.input_value
+        else:
+            self.stop("true_response")
+            return ""
+
+    def false_response(self) -> Text:
+        if not self.evaluate_condition(self.input_value, self.comparison_value, self.operator):
+            self.stop("true_response")
+            return self.input_value
+        else:
+            self.stop("false_response")
+            return ""
+
+```
+
+By following these steps and examples, you can create custom components in Langflow tailored to your specific needs. The modular structure of Custom Components allows for flexible and reusable components that can be easily integrated into your workflows.
+
+---
diff --git a/docs/docs/components/data.mdx b/docs/docs/components/data.mdx
new file mode 100644
index 00000000000..2c62b2664ce
--- /dev/null
+++ b/docs/docs/components/data.mdx
@@ -0,0 +1,64 @@
+import Admonition from "@theme/Admonition";
+
+# Data
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+## API Request
+
+This component sends HTTP requests to the specified URLs.
+
+Use this component to interact with external APIs or services and retrieve data. Ensure that the URLs are valid and that you configure the method, headers, body, and timeout correctly.
+
+**Parameters:**
+
+- **URLs:** The URLs to target.
+- **Method:** The HTTP method, such as GET or POST.
+- **Headers:** The headers to include with the request.
+- **Body:** The data to send with the request (for methods like POST, PATCH, PUT).
+- **Timeout:** The maximum time to wait for a response.
+
+---
+
+## Directory
+
+This component recursively retrieves files from a specified directory.
+
+Use this component to retrieve various file types, such as text or JSON files, from a directory. Make sure to provide the correct path and configure the other parameters as needed.
+
+**Parameters:**
+
+- **Path:** The directory path.
+- **Types:** The types of files to retrieve. Leave this blank to retrieve all file types.
+- **Depth:** The level of directory depth to search.
+- **Max Concurrency:** The maximum number of simultaneous file loading operations.
+- **Load Hidden:** Set to true to include hidden files.
+- **Recursive:** Set to true to enable recursive search.
+- **Silent Errors:** Set to true to suppress exceptions on errors.
+- **Use Multithreading:** Set to true to use multithreading in file loading.
+
+---
+
+## File
+
+This component loads a file.
+
+Use this component to load files, such as text or JSON files. Ensure you specify the correct path and configure other parameters as necessary.
+
+**Parameters:**
+
+- **Path:** The file path.
+- **Silent Errors:** Set to true to prevent exceptions on errors.
+
+---
+
+## URL
+
+This component retrieves content from specified URLs.
+
+Ensure the URLs are valid and adjust other parameters as needed.
+**Parameters:**
+
+- **URLs:** The URLs to retrieve content from.
diff --git a/docs/docs/components/embeddings.mdx b/docs/docs/components/embeddings.mdx
index d4ad1754265..9a224b0488e 100644
--- a/docs/docs/components/embeddings.mdx
+++ b/docs/docs/components/embeddings.mdx
@@ -2,122 +2,133 @@ import Admonition from "@theme/Admonition";
 
 # Embeddings
 
-<Admonition type="caution" icon="🚧" title="ZONE UNDER CONSTRUCTION">
-  <p>
-    We appreciate your understanding as we polish our documentation – it may
-    contain some rough edges. Share your feedback or report issues to help us
-    improve! 🛠️📝
-  </p>
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
 </Admonition>
 
-Embeddings are vector representations of text that capture the semantic meaning of the text. They are created using text embedding models and allow us to think about the text in a vector space, enabling us to perform tasks like semantic search, where we look for pieces of text that are most similar in the vector space.
-
----
-
-### BedrockEmbeddings
-
-Used to load [Amazon Bedrocks’s](https://aws.amazon.com/bedrock/) embedding models.
-
-**Params**
-
-- **credentials_profile_name:** The name of the profile in the ~/.aws/credentials or ~/.aws/config files, which has either access keys or role information specified. If not specified, the default credential profile or, if on an EC2 instance, credentials from IMDS will be used. See [the AWS documentation](https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html) for more details.
-
-- **model_id:** Id of the model to call, e.g., amazon.titan-embed-text-v1, this is equivalent to the modelId property in the list-foundation-models api.
-
-- **endpoint_url:** Needed if you don’t want to default to us-east-1 endpoint.
-
-- **region_name:** The aws region e.g., us-west-2. Fallsback to AWS_DEFAULT_REGION env variable or region specified in ~/.aws/config in case it is not provided here.
-
----
-
-### CohereEmbeddings
-
-Used to load [Cohere’s](https://cohere.com/) embedding models.
-
-**Params**
-
-- **cohere_api_key:** Holds the API key required to authenticate with the Cohere service.
-
-- **model:** The language model used for embedding text documents and performing queries —defaults to `embed-english-v2.0`.
-
-- **truncate:** Used to specify whether or not to truncate the input text. Truncation is useful when dealing with long texts that exceed the model's maximum input length. By truncating the text, the user can ensure that it fits within the model's constraints.
-
----
-
-### HuggingFaceEmbeddings
-
-Used to load [HuggingFace’s](https://huggingface.co) embedding models.
-
-**Params**
-
-- **cache_folder:** Used to specify the folder where the embeddings will be cached. When embeddings are computed for a text, they can be stored in the cache folder so that they can be reused later without the need to recompute them. This can improve the performance of the application by avoiding redundant computations.
-
-- **encode_kwargs:** Used to pass additional keyword arguments to the encoding method of the underlying HuggingFace model. These keyword arguments can be used to customize the encoding process, such as specifying the maximum length of the input sequence or enabling truncation or padding.
-
-- **model_kwargs:** Used to customize the behavior of the model, such as specifying the model architecture, the tokenizer, or any other model-specific configuration options. By using `model_kwargs`, the user can configure the HuggingFace model according to specific needs and preferences.
-
-- **model_name:** Used to specify the name or identifier of the HuggingFace model that will be used for generating embeddings. It allows users to choose a specific pre-trained model from the Hugging Face model hub — defaults to `sentence-transformers/all-mpnet-base-v2`.
-
----
-
-### OpenAIEmbeddings
-
-Used to load [OpenAI’s](https://openai.com/) embedding models.
-
-**Params**
-
-- **chunk_size:** Determines the maximum size of each chunk of text that is processed for embedding. If any of the incoming text chunks exceeds `chunk_size` characters, it will be split into multiple chunks of size `chunk_size` or less before being embedded — defaults to `1000`.
-
-- **deployment:** Used to specify the deployment name or identifier of the text embedding model. It allows the user to choose a specific deployment of the model to use for embedding. When the deployment is provided, this can be useful when the user has multiple deployments of the same model with different configurations or versions — defaults to `text-embedding-ada-002`.
-
-- **embedding_ctx_length:** This parameter determines the maximum context length for the text embedding model. It specifies the number of tokens that the model considers when generating embeddings for a piece of text — defaults to `8191` (this means that the model will consider up to 8191 tokens when generating embeddings).
-
-- **max_retries:** Determines the maximum number of times to retry a request if the model provider returns an error from their API — defaults to `6`.
-
-- **model:** Defines which pre-trained text embedding model to use — defaults to `text-embedding-ada-002`.
-
-- **openai_api_base:** Refers to the base URL for the Azure OpenAI resource. It is used to configure the API to connect to the Azure OpenAI service. The base URL can be found in the Azure portal under the user Azure OpenAI resource.
-
-- **openai_api_key:** Is used to authenticate and authorize access to the OpenAI service.
-
-- **openai_api_type:** Is used to specify the type of OpenAI API being used, either the regular OpenAI API or the Azure OpenAI API. This parameter allows the `OpenAIEmbeddings` class to connect to the appropriate API service.
-
-- **openai_api_version:** Is used to specify the version of the OpenAI API being used. This parameter allows the `OpenAIEmbeddings` class to connect to the appropriate version of the OpenAI API service.
-
-- **openai_organization:** Is used to specify the organization associated with the OpenAI API key. If not provided, the default organization associated with the API key will be used.
-
-- **openai_proxy:** Proxy enables better budgeting and cost management for making OpenAI API calls, including more transparency into pricing.
-
-- **request_timeout:** Used to specify the maximum amount of time, in milliseconds, to wait for a response from the OpenAI API when generating embeddings for a given text.
-
-- **tiktoken_model_name:** Used to count the number of tokens in documents to constrain them to be under a certain limit. By default, when set to None, this will be the same as the embedding model name.
-
----
-
-### VertexAIEmbeddings
+## Amazon Bedrock Embeddings
+
+Used to load embedding models from [Amazon Bedrock](https://aws.amazon.com/bedrock/).
+
+| **Parameter**              | **Type** | **Description**                                                                                                                                     | **Default** |
+| -------------------------- | -------- | --------------------------------------------------------------------------------------------------------------------------------------------------- | ----------- |
+| `credentials_profile_name` | `str`    | Name of the AWS credentials profile in ~/.aws/credentials or ~/.aws/config, which has access keys or role information.                              |             |
+| `model_id`                 | `str`    | ID of the model to call, e.g., `amazon.titan-embed-text-v1`. This is equivalent to the `modelId` property in the `list-foundation-models` API.      |             |
+| `endpoint_url`             | `str`    | URL to set a specific service endpoint other than the default AWS endpoint.                                                                         |             |
+| `region_name`              | `str`    | AWS region to use, e.g., `us-west-2`. Falls back to `AWS_DEFAULT_REGION` environment variable or region specified in ~/.aws/config if not provided. |             |
+
+## Astra vectorize
+
+Used to generate server-side embeddings using [DataStax Astra](https://docs.datastax.com/en/astra-db-serverless/databases/embedding-generation.html).
+
+| **Parameter**      | **Type** | **Description**                                                                                                       | **Default** |
+|--------------------|----------|-----------------------------------------------------------------------------------------------------------------------|-------------|
+| `provider`         | `str`    | The embedding provider to use.                                                                                        |             |
+| `model_name`       | `str`    | The embedding model to use.                                                                                           |             |
+| `authentication`   | `dict`   | Authentication parameters. Use the Astra Portal to add the embedding provider integration to your Astra organization. |             |
+| `provider_api_key` | `str`    | An alternative to the Astra Authentication that let you use directly the API key of the provider.                     |             |
+| `model_parameters` | `dict`   | Additional model parameters.                                                                                          |             |
+
+## Cohere Embeddings
+
+Used to load embedding models from [Cohere](https://cohere.com/).
+
+| **Parameter**    | **Type** | **Description**                                                           | **Default**          |
+| ---------------- | -------- | ------------------------------------------------------------------------- | -------------------- |
+| `cohere_api_key` | `str`    | API key required to authenticate with the Cohere service.                 |                      |
+| `model`          | `str`    | Language model used for embedding text documents and performing queries.  | `embed-english-v2.0` |
+| `truncate`       | `bool`   | Whether to truncate the input text to fit within the model's constraints. | `False`              |
+
+## Azure OpenAI Embeddings
+
+Generate embeddings using Azure OpenAI models.
+
+| **Parameter**     | **Type** | **Description**                                                                                    | **Default** |
+| ----------------- | -------- | -------------------------------------------------------------------------------------------------- | ----------- |
+| `Azure Endpoint`  | `str`    | Your Azure endpoint, including the resource. Example: `https://example-resource.azure.openai.com/` |             |
+| `Deployment Name` | `str`    | The name of the deployment.                                                                        |             |
+| `API Version`     | `str`    | The API version to use, options include various dates.                                             |             |
+| `API Key`         | `str`    | The API key to access the Azure OpenAI service.                                                    |             |
+
+## Hugging Face API Embeddings
+
+Generate embeddings using Hugging Face Inference API models.
+
+| **Parameter**   | **Type** | **Description**                                       | **Default**              |
+| --------------- | -------- | ----------------------------------------------------- | ------------------------ |
+| `API Key`       | `str`    | API key for accessing the Hugging Face Inference API. |                          |
+| `API URL`       | `str`    | URL of the Hugging Face Inference API.                | `http://localhost:8080`  |
+| `Model Name`    | `str`    | Name of the model to use for embeddings.              | `BAAI/bge-large-en-v1.5` |
+| `Cache Folder`  | `str`    | Folder path to cache Hugging Face models.             |                          |
+| `Encode Kwargs` | `dict`   | Additional arguments for the encoding process.        |                          |
+| `Model Kwargs`  | `dict`   | Additional arguments for the model.                   |                          |
+| `Multi Process` | `bool`   | Whether to use multiple processes.                    | `False`                  |
+
+## Hugging Face Embeddings
+
+Used to load embedding models from [HuggingFace](https://huggingface.co).
+
+| **Parameter**   | **Type** | **Description**                                | **Default**                               |
+| --------------- | -------- | ---------------------------------------------- | ----------------------------------------- |
+| `Cache Folder`  | `str`    | Folder path to cache HuggingFace models.       |                                           |
+| `Encode Kwargs` | `dict`   | Additional arguments for the encoding process. |                                           |
+| `Model Kwargs`  | `dict`   | Additional arguments for the model.            |                                           |
+| `Model Name`    | `str`    | Name of the HuggingFace model to use.          | `sentence-transformers/all-mpnet-base-v2` |
+| `Multi Process` | `bool`   | Whether to use multiple processes.             | `False`                                   |
+
+## OpenAI Embeddings
+
+Used to load embedding models from [OpenAI](https://openai.com/).
+
+| **Parameter**              | **Type**         | **Description**                                  | **Default**              |
+| -------------------------- | ---------------- | ------------------------------------------------ | ------------------------ |
+| `OpenAI API Key`           | `str`            | The API key to use for accessing the OpenAI API. |                          |
+| `Default Headers`          | `Dict[str, str]` | Default headers for the HTTP requests.           |                          |
+| `Default Query`            | `NestedDict`     | Default query parameters for the HTTP requests.  |                          |
+| `Allowed Special`          | `List[str]`      | Special tokens allowed for processing.           | `[]`                     |
+| `Disallowed Special`       | `List[str]`      | Special tokens disallowed for processing.        | `["all"]`                |
+| `Chunk Size`               | `int`            | Chunk size for processing.                       | `1000`                   |
+| `Client`                   | `Any`            | HTTP client for making requests.                 |                          |
+| `Deployment`               | `str`            | Deployment name for the model.                   | `text-embedding-3-small` |
+| `Embedding Context Length` | `int`            | Length of embedding context.                     | `8191`                   |
+| `Max Retries`              | `int`            | Maximum number of retries for failed requests.   | `6`                      |
+| `Model`                    | `str`            | Name of the model to use.                        | `text-embedding-3-small` |
+| `Model Kwargs`             | `NestedDict`     | Additional keyword arguments for the model.      |                          |
+| `OpenAI API Base`          | `str`            | Base URL of the OpenAI API.                      |                          |
+| `OpenAI API Type`          | `str`            | Type of the OpenAI API.                          |                          |
+| `OpenAI API Version`       | `str`            | Version of the OpenAI API.                       |                          |
+| `OpenAI Organization`      | `str`            | Organization associated with the API key.        |                          |
+| `OpenAI Proxy`             | `str`            | Proxy server for the requests.                   |                          |
+| `Request Timeout`          | `float`          | Timeout for the HTTP requests.                   |                          |
+| `Show Progress Bar`        | `bool`           | Whether to show a progress bar for processing.   | `False`                  |
+| `Skip Empty`               | `bool`           | Whether to skip empty inputs.                    | `False`                  |
+| `TikToken Enable`          | `bool`           | Whether to enable TikToken.                      | `True`                   |
+| `TikToken Model Name`      | `str`            | Name of the TikToken model.                      |                          |
+
+## Ollama Embeddings
+
+Generate embeddings using Ollama models.
+
+| **Parameter**       | **Type** | **Description**                                                                          | **Default**              |
+| ------------------- | -------- | ---------------------------------------------------------------------------------------- | ------------------------ |
+| `Ollama Model`      | `str`    | Name of the Ollama model to use.                                                         | `llama2`                 |
+| `Ollama Base URL`   | `str`    | Base URL of the Ollama API.                                                              | `http://localhost:11434` |
+| `Model Temperature` | `float`  | Temperature parameter for the model. Adjusts the randomness in the generated embeddings. |                          |
+
+## VertexAI Embeddings
 
 Wrapper around [Google Vertex AI](https://cloud.google.com/vertex-ai) [Embeddings API](https://cloud.google.com/vertex-ai/docs/generative-ai/embeddings/get-text-embeddings).
 
-<Admonition type="info">
-Vertex AI is a cloud computing platform offered by Google Cloud Platform (GCP). It provides access, management, and development of applications and services through global data centers. To use Vertex AI PaLM, you need to have the [google-cloud-aiplatform](https://pypi.org/project/google-cloud-aiplatform/) Python package installed and credentials configured for your environment.
-</Admonition>
-
-- **credentials:** The default custom credentials (google.auth.credentials.Credentials) to use.
-- **location:** The default location to use when making API calls – defaults to `us-central1`.
-- **max_output_tokens:** Token limit determines the maximum amount of text output from one prompt – defaults to `128`.
-- **model_name:** The name of the Vertex AI large language model – defaults to `text-bison`.
-- **project:** The default GCP project to use when making Vertex API calls.
-- **request_parallelism:** The amount of parallelism allowed for requests issued to VertexAI models – defaults to `5`.
-- **temperature:** Tunes the degree of randomness in text generations. Should be a non-negative value – defaults to `0`.
-- **top_k:** How the model selects tokens for output, the next token is selected from – defaults to `40`.
-- **top_p:** Tokens are selected from most probable to least until the sum of their – defaults to `0.95`.
-- **tuned_model_name:** The name of a tuned model. If provided, model_name is ignored.
-- **verbose:** This parameter is used to control the level of detail in the output of the chain. When set to True, it will print out some internal states of the chain while it is being run, which can help debug and understand the chain's behavior. If set to False, it will suppress the verbose output – defaults to `False`.
-
-### OllamaEmbeddings
-
-Used to load [Ollama’s](https://ollama.ai/) embedding models. Wrapper around LangChain's [Ollama API](https://python.langchain.com/docs/integrations/text_embedding/ollama).
-
-- **model** The name of the Ollama model to use – defaults to `llama2`.
-- **base_url** The base URL for the Ollama API – defaults to `http://localhost:11434`.
-- **temperature** Tunes the degree of randomness in text generations. Should be a non-negative value – defaults to `0`.
+| **Parameter**         | **Type**      | **Description**                                                                                                                      | **Default**   |
+| --------------------- | ------------- | ------------------------------------------------------------------------------------------------------------------------------------ | ------------- |
+| `credentials`         | `Credentials` | The default custom credentials to use.                                                                                               |               |
+| `location`            | `str`         | The default location to use when making API calls.                                                                                   | `us-central1` |
+| `max_output_tokens`   | `int`         | Token limit determines the maximum amount of text output from one prompt.                                                            | `128`         |
+| `model_name`          | `str`         | The name of the Vertex AI large language model.                                                                                      | `text-bison`  |
+| `project`             | `str`         | The default GCP project to use when making Vertex API calls.                                                                         |               |
+| `request_parallelism` | `int`         | The amount of parallelism allowed for requests issued to VertexAI models.                                                            | `5`           |
+| `temperature`         | `float`       | Tunes the degree of randomness in text generations. Should be a non-negative value.                                                  | `0`           |
+| `top_k`               | `int`         | How the model selects tokens for output, the next token is selected from the top `k` tokens.                                         | `40`          |
+| `top_p`               | `float`       | Tokens are selected from the most probable to least until the sum of their probabilities exceeds the top `p` value.                  | `0.95`        |
+| `tuned_model_name`    | `str`         | The name of a tuned model. If provided, `model_name` is ignored.                                                                     |               |
+| `verbose`             | `bool`        | This parameter controls the level of detail in the output. When set to `True`, it prints internal states of the chain to help debug. | `False`       |
diff --git a/docs/docs/components/experimental.mdx b/docs/docs/components/experimental.mdx
new file mode 100644
index 00000000000..5abee146d08
--- /dev/null
+++ b/docs/docs/components/experimental.mdx
@@ -0,0 +1,275 @@
+import Admonition from "@theme/Admonition";
+
+# Experimental
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+Components in the experimental phase are currently in beta. They have been initially developed and tested but haven't yet achieved a stable or fully supported status. We encourage users to explore these components, provide feedback, and report any issues encountered.
+
+---
+
+## Clear Message History Component
+
+This component clears the message history for a specified session ID.
+
+**Beta:** This component is in beta.
+
+**Parameters**
+
+- **Session ID:**
+  - **Display Name:** Session ID
+  - **Info:** Clears the message history for this ID.
+
+**Usage**
+
+Provide the session ID to clear its message history.
+
+---
+
+## Extract Key From Data
+
+This component extracts specified keys from a record.
+
+**Parameters**
+
+- **Data:**
+
+  - **Display Name:** Data
+  - **Info:** The record from which to extract keys.
+
+- **Keys:**
+
+  - **Display Name:** Keys
+  - **Info:** The keys to be extracted.
+
+- **Silent Errors:**
+  - **Display Name:** Silent Errors
+  - **Info:** Set to true to suppress errors.
+  - **Advanced:** True
+
+**Usage**
+
+Provide the record and specify the keys you want to extract. Optionally, enable silent errors for missing keys.
+
+---
+
+## Flow as Tool
+
+This component turns a function running a flow into a Tool.
+
+**Parameters**
+
+- **Flow Name:**
+
+  - **Display Name:** Flow Name
+  - **Info:** Select the flow to run.
+  - **Options:** List of available flows.
+  - **Real-time Refresh:** True
+  - **Refresh Button:** True
+
+- **Name:**
+
+  - **Display Name:** Name
+  - **Description:** The tool's name.
+
+- **Description:**
+
+  - **Display Name:** Description
+  - **Description:** Describes the tool.
+
+- **Return Direct:**
+  - **Display Name:** Return Direct
+  - **Description:** Returns the result directly.
+  - **Advanced:** True
+
+**Usage**
+
+Select a flow, name and describe the tool, and decide if you want to return the result directly.
+
+---
+
+## Listen
+
+This component listens for a specified notification.
+
+**Parameters**
+
+- **Name:**
+  - **Display Name:** Name
+  - **Info:** The notification to listen for.
+
+**Usage**
+
+Specify the notification to listen for.
+
+---
+
+## List Flows
+
+This component lists all available flows.
+
+**Usage**
+
+Call this component without parameters to list all flows.
+
+---
+
+## Merge Data
+
+This component merges a list of Data.
+
+**Parameters**
+
+- **Data:**
+  - **Display Name:** Data
+
+**Usage**
+
+Provide the Data you want to merge.
+
+---
+
+## Notify
+
+This component generates a notification.
+
+**Parameters**
+
+- **Name:**
+
+  - **Display Name:** Name
+  - **Info:** The notification's name.
+
+- **Data:**
+
+  - **Display Name:** Data
+  - **Info:** Optionally, a record to store in the notification.
+
+- **Append:**
+  - **Display Name:** Append
+  - **Info:** Set to true to append the record to the notification.
+
+**Usage**
+
+Specify the notification name, provide a record if necessary, and indicate whether to append it.
+
+---
+
+## Run Flow
+
+This component runs a specified flow.
+
+**Parameters**
+
+- **Input Value:**
+
+  - **Display Name:** Input Value
+  - **Multiline:** True
+
+- **Flow Name:**
+
+  - **Display Name:** Flow Name
+  - **Info:** Select the flow to run.
+  - **Options:** List of available flows.
+  - **Refresh Button:** True
+
+- **Tweaks:**
+  - **Display Name:** Tweaks
+  - **Info:** Modifications to apply to the flow.
+
+**Usage**
+
+Provide the input value, select the flow, and apply any tweaks.
+
+---
+
+## Runnable Executor
+
+This component executes a specified runnable.
+
+**Parameters**
+
+- **Input Key:**
+
+  - **Display Name:** Input Key
+  - **Info:** The input key.
+
+- **Inputs:**
+
+  - **Display Name:** Inputs
+  - **Info:** Inputs for the runnable.
+
+- **Runnable:**
+
+  - **Display Name:** Runnable
+  - **Info:** The runnable to execute.
+
+- **Output Key:**
+  - **Display Name:** Output Key
+  - **Info:** The output key.
+
+**Usage**
+
+Specify the input key, provide inputs, select the runnable, and optionally define the output key.
+
+---
+
+## SQL Executor
+
+This component executes an SQL query.
+
+**Parameters**
+
+- **Database URL:**
+
+  - **Display Name:** Database URL
+  - **Info:** The database's URL.
+
+- **Include Columns:**
+
+  - **Display Name:** Include Columns
+  - **Info:** Whether to include columns in the result.
+
+- **Passthrough:**
+
+  - **Display Name:** Passthrough
+  - **Info:** Returns the query instead of raising an exception if an error occurs.
+
+- **Add Error:**
+  - **Display Name:** Add Error
+  - **Info:** Includes the error in the result.
+
+**Usage**
+
+Provide the SQL query, specify the database URL, and configure settings for columns, error handling, and passthrough.
+
+---
+
+## SubFlow
+
+This component dynamically generates a tool from a flow.
+
+**Parameters**
+
+- **Input Value:**
+
+  - **Display Name:** Input Value
+  - **Multiline:** True
+
+- **Flow Name:**
+
+  - **Display Name:** Flow Name
+  - **Info:** Select the flow to run.
+  - **Options:** List of available flows.
+  - **Real Time Refresh:** True
+  - **Refresh Button:** True
+
+- **Tweaks:**
+  - **Display Name:** Tweaks
+  - **Info:** Modifications to apply to the flow.
+
+**Usage**
+
+Select a flow, apply any necessary tweaks, and generate a tool.
diff --git a/docs/docs/components/helpers.mdx b/docs/docs/components/helpers.mdx
new file mode 100644
index 00000000000..c30315a420a
--- /dev/null
+++ b/docs/docs/components/helpers.mdx
@@ -0,0 +1,132 @@
+import Admonition from "@theme/Admonition";
+
+# Helpers
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+### Chat memory
+
+This component retrieves stored chat messages based on a specific session ID.
+
+#### Parameters
+
+- **Sender type:** Choose the sender type from options like "Machine", "User", or "Both".
+- **Sender name:** (Optional) The name of the sender.
+- **Number of messages:** Number of messages to retrieve.
+- **Session ID:** The session ID of the chat history.
+- **Order:** Choose the message order, either "Ascending" or "Descending".
+- **Data template:** (Optional) Template to convert a record to text. If left empty, the system dynamically sets it to the record's text key.
+
+---
+
+### Combine text
+
+This component concatenates two text sources into a single text chunk using a specified delimiter.
+
+#### Parameters
+
+- **First text:** The first text input to concatenate.
+- **Second text:** The second text input to concatenate.
+- **Delimiter:** A string used to separate the two text inputs. Defaults to a space.
+
+---
+
+### Create record
+
+This component dynamically creates a record with a specified number of fields.
+
+#### Parameters
+
+- **Number of fields:** Number of fields to be added to the record.
+- **Text key:** Key used as text.
+
+---
+
+### Custom component
+
+Use this component as a template to create your custom component.
+
+#### Parameters
+
+- **Parameter:** Describe the purpose of this parameter.
+
+<Admonition type="info" title="Info">
+  <p>
+    Customize the <code>build_config</code> and <code>build</code> methods
+    according to your requirements.
+  </p>
+</Admonition>
+
+Learn more about creating custom components at [Custom Component](http://docs.langflow.org/components/custom).
+
+---
+
+### Documents to Data
+
+Convert LangChain documents into Data.
+
+#### Parameters
+
+- **Documents:** Documents to be converted into Data.
+
+---
+
+### ID generator
+
+Generates a unique ID.
+
+#### Parameters
+
+- **Value:** Unique ID generated.
+
+---
+
+### Message history
+
+Retrieves stored chat messages based on a specific session ID.
+
+#### Parameters
+
+- **Sender type:** Options for the sender type.
+- **Sender name:** Sender name.
+- **Number of messages:** Number of messages to retrieve.
+- **Session ID:** Session ID of the chat history.
+- **Order:** Order of the messages.
+
+---
+
+### Data to text
+
+Convert Data into plain text following a specified template.
+
+#### Parameters
+
+- **Data:** The Data to convert to text.
+- **Template:** The template used for formatting the Data. It can contain keys like `{text}`, `{data}`, or any other key in the record.
+
+---
+
+### Split text
+
+Split text into chunks of a specified length.
+
+#### Parameters
+
+- **Texts:** Texts to split.
+- **Separators:** Characters to split on. Defaults to a space.
+- **Max chunk size:** The maximum length (in characters) of each chunk.
+- **Chunk overlap:** The amount of character overlap between chunks.
+- **Recursive:** Whether to split recursively.
+
+---
+
+### Update record
+
+Update a record with text-based key/value pairs, similar to updating a Python dictionary.
+
+#### Parameters
+
+- **Data:** The record to update.
+- **New data:** The new data to update the record with.
diff --git a/docs/docs/components/inputs-and-outputs.mdx b/docs/docs/components/inputs-and-outputs.mdx
new file mode 100644
index 00000000000..8b78d8567bf
--- /dev/null
+++ b/docs/docs/components/inputs-and-outputs.mdx
@@ -0,0 +1,162 @@
+import Admonition from "@theme/Admonition";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+
+# Inputs and Outputs
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+Inputs and Outputs are a category of components that are used to define where data comes in and out of your flow.
+They also dynamically change the Playground and can be renamed to facilitate building and maintaining your flows.
+
+## Inputs
+
+Inputs are components used to define where data enters your flow. They can receive data from the user, a database, or any other source that can be converted to Text or Data.
+
+The difference between Chat Input and other Input components is the output format, the number of configurable fields, and the way they are displayed in the Playground.
+
+Chat Input components can output `Text` or `Data`. When you want to pass the sender name or sender to the next component, use the `Data` output. To pass only the message, use the `Text` output, useful when saving the message to a database or memory system like Zep.
+
+You can find out more about Chat Input and other Inputs [here](#chat-input).
+
+### Chat Input
+
+This component collects user input from the chat.
+
+<ZoomableImage
+  alt="Docusaurus themed image"
+  sources={{
+    light: "img/chat-input-expanded.png",
+    dark: "img/chat-input-expanded.png",
+  }}
+  style={{ width: "40%", margin: "20px auto" }}
+/>
+
+**Parameters**
+
+- **Sender Type:** Specifies the sender type. Defaults to `User`. Options are `Machine` and `User`.
+- **Sender Name:** Specifies the name of the sender. Defaults to `User`.
+- **Message:** Specifies the message text. It is a multiline text input.
+- **Session ID:** Specifies the session ID of the chat history. If provided, the message will be saved in the Message History.
+
+<Admonition type="note" title="Note">
+  <p>
+    If `As Data` is `true` and the `Message` is a `Data`, the data of the `Data`
+    will be updated with the `Sender`, `Sender Name`, and `Session ID`.
+  </p>
+</Admonition>
+
+One significant capability of the Chat Input component is its ability to transform the Playground into a chat window. This feature is particularly valuable for scenarios requiring user input to initiate or influence the flow.
+
+<ZoomableImage
+  alt="Docusaurus themed image"
+  sources={{
+    light: useBaseUrl("img/playground-chat.png"),
+    dark: useBaseUrl("img/playground-chat.png"),
+  }}
+  style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }}
+/>
+
+### Text Input
+
+The **Text Input** component adds an **Input** field on the Playground. This enables you to define parameters while running and testing your flow.
+
+<ZoomableImage
+  alt="Docusaurus themed image"
+  sources={{
+    light: "img/text-input-expanded.png",
+    dark: "img/text-input-expanded.png",
+  }}
+  style={{ width: "50%", margin: "20px auto" }}
+/>
+
+**Parameters**
+
+- **Value:** Specifies the text input value. This is where the user inputs text data that will be passed to the next component in the sequence. If no value is provided, it defaults to an empty string.
+- **Data Template:** Specifies how a `Data` should be converted into `Text`.
+
+The **Data Template** field is used to specify how a `Data` should be converted into `Text`. This is particularly useful when you want to extract specific information from a `Data` and pass it as text to the next component in the sequence.
+
+For example, if you have a `Data` with the following structure:
+
+```json
+{
+  "name": "John Doe",
+  "age": 30,
+  "email": "johndoe@email.com"
+}
+```
+
+A template with `Name: {name}, Age: {age}` will convert the `Data` into a text string of `Name: John Doe, Age: 30`.
+
+If you pass more than one `Data`, the text will be concatenated with a new line separator.
+
+## Outputs
+
+Outputs are components that are used to define where data comes out of your flow. They can be used to send data to the user, to the Playground, or to define how the data will be displayed in the Playground.
+
+The Chat Output works similarly to the Chat Input but does not have a field that allows for written input. It is used as an Output definition and can be used to send data to the user.
+
+You can find out more about it and the other Outputs [here](#chat-output).
+
+### Chat Output
+
+This component sends a message to the chat.
+
+**Parameters**
+
+- **Sender Type:** Specifies the sender type. Default is `"Machine"`. Options are `"Machine"` and `"User"`.
+
+- **Sender Name:** Specifies the sender's name. Default is `"AI"`.
+
+- **Session ID:** Specifies the session ID of the chat history. If provided, messages are saved in the Message History.
+
+- **Message:** Specifies the text of the message.
+
+<Admonition type="note" title="Note">
+  <p>
+    If `As Data` is `true` and the `Message` is a `Data`, the data in the `Data`
+    is updated with the `Sender`, `Sender Name`, and `Session ID`.
+  </p>
+</Admonition>
+
+### Text Output
+
+This component displays text data to the user. It is useful when you want to show text without sending it to the chat.
+
+**Parameters**
+
+- **Value:** Specifies the text data to be displayed. Defaults to an empty string.
+
+The `TextOutput` component provides a simple way to display text data. It allows textual data to be visible in the chat window during your interaction flow.
+
+## Prompts
+
+A prompt is the input provided to a language model, consisting of multiple components and can be parameterized using prompt templates. A prompt template offers a reproducible method for generating prompts, enabling easy customization through input variables.
+
+### Prompt
+
+This component creates a prompt template with dynamic variables. This is useful for structuring prompts and passing dynamic data to a language model.
+
+<ZoomableImage
+  alt="Docusaurus themed image"
+  sources={{
+    light: "img/prompt-with-template.png",
+    dark: "img/prompt-with-template.png",
+  }}
+  style={{ width: "50%", margin: "20px auto" }}
+/>
+
+**Parameters**
+
+- **Template:** The template for the prompt. This field allows you to create other fields dynamically by using curly brackets `{}`. For example, if you have a template like `Hello {name}, how are you?`, a new field called `name` will be created. Prompt variables can be created with any name inside curly brackets, e.g. `{variable_name}`.
+
+### PromptTemplate
+
+The `PromptTemplate` component enables users to create prompts and define variables that control how the model is instructed. Users can input a set of variables which the template uses to generate the prompt when a conversation starts.
+
+After defining a variable in the prompt template, it acts as its own component input. See [Prompt Customization](../administration/prompt-customization) for more details.
+
+- **template:** The template used to format an individual request.
diff --git a/docs/docs/components/llms.mdx b/docs/docs/components/llms.mdx
deleted file mode 100644
index d7236437649..00000000000
--- a/docs/docs/components/llms.mdx
+++ /dev/null
@@ -1,221 +0,0 @@
-import Admonition from '@theme/Admonition';
-
-# LLMs
-
-<Admonition type="caution" icon="🚧" title="ZONE UNDER CONSTRUCTION">
-    <p>
-        We appreciate your understanding as we polish our documentation – it may contain some rough edges. Share your feedback or report issues to help us improve! 🛠️📝
-    </p>
-</Admonition>
-
-An LLM stands for Large Language Model. It is a core component of Langflow and provides a standard interface for interacting with different LLMs from various providers such as OpenAI, Cohere, and HuggingFace. LLMs are used widely throughout Langflow, including in chains and agents. They can be used to generate text based on a given prompt (or input).
-
----
-
-### Anthropic
-
-Wrapper around Anthropic's large language models. Find out more at [Anthropic](https://www.anthropic.com).
-
-- **anthropic_api_key:** Used to authenticate and authorize access to the Anthropic API.
-
-- **anthropic_api_url:** Specifies the URL of the Anthropic API to connect to.
-
-- **temperature:** Tunes the degree of randomness in text generations. Should be a non-negative value.
-
----
-
-### ChatAnthropic
-
-Wrapper around Anthropic's large language model used for chat-based interactions. Find out more at [Anthropic](https://www.anthropic.com).
-
-- **anthropic_api_key:** Used to authenticate and authorize access to the Anthropic API.
-
-- **anthropic_api_url:** Specifies the URL of the Anthropic API to connect to.
-
-- **temperature:** Tunes the degree of randomness in text generations. Should be a non-negative value.
-
----
-
-### CTransformers
-
-The `CTransformers` component provides access to the Transformer models implemented in C/C++ using the [GGML](https://github.com/ggerganov/ggml) library.
-
-<Admonition type="info">
-
-Make sure to have the `ctransformers` python package installed. Learn more about installation, supported models, and usage [here](https://github.com/marella/ctransformers).
-</Admonition>
-
-**config:** Configuration for the Transformer models. Check out [config](https://github.com/marella/ctransformers#config). Defaults to:
-
-```
-{
-
-"top_k": 40,
-
-"top_p": 0.95,
-
-"temperature": 0.8,
-
-"repetition_penalty": 1.1,
-
-"last_n_tokens": 64,
-
-"seed": -1,
-
-"max_new_tokens": 256,
-
-"stop": null,
-
-"stream": false,
-
-"reset": true,
-
-"batch_size": 8,
-
-"threads": -1,
-
-"context_length": -1,
-
-"gpu_layers": 0
-
-}
-```
-
-**model:** The path to a model file or directory or the name of a Hugging Face Hub model repo.
-
-**model_file:** The name of the model file in the repo or directory.
-
-**model_type:** Transformer model to be used. Learn more [here](https://github.com/marella/ctransformers).
-
----
-
-### ChatOpenAI
-
-Wrapper around [OpenAI's](https://openai.com) chat large language models. This component supports some of the LLMs (Large Language Models) available by OpenAI and is used for tasks such as chatbots, Generative Question-Answering (GQA), and summarization.
-
-- **max_tokens:** The maximum number of tokens to generate in the completion. `-1` returns as many tokens as possible, given the prompt and the model's maximal context size – defaults to `256`.
-- **model_kwargs:** Holds any model parameters valid for creating non-specified calls.
-- **model_name:** Defines the OpenAI chat model to be used.
-- **openai_api_base:** Used to specify the base URL for the OpenAI API. It is typically set to the API endpoint provided by the OpenAI service.
-- **openai_api_key:**  Key used to authenticate and access the OpenAI API.
-- **temperature:** Tunes the degree of randomness in text generations. Should be a non-negative value – defaults to `0.7`.
-
----
-
-### Cohere
-
-Wrapper around [Cohere's](https://cohere.com) large language models.
-
-- **cohere_api_key:** Holds the API key required to authenticate with the Cohere service.
-- **max_tokens:** Maximum number of tokens to predict per generation – defaults to `256`.
-- **temperature:** Tunes the degree of randomness in text generations. Should be a non-negative value – defaults to `0.75`.
-
----
-
-### HuggingFaceHub
-
-Wrapper around [HuggingFace](https://www.huggingface.co/models) models.
-
-<Admonition type="info">
-The HuggingFace Hub is an online platform that hosts over 120k models, 20k datasets, and 50k demo apps, all of which are open-source and publicly available. Discover more at [HuggingFace](http://www.huggingface.co).
-</Admonition>
-
-- **huggingfacehub_api_token:** Token needed to authenticate the API.
-- **model_kwargs:** Keyword arguments to pass to the model.
-- **repo_id:** Model name to use – defaults to `gpt2`.
-- **task:** Task to call the model with. Should be a task that returns `generated_text` or `summary_text`.
-
----
-
-### LlamaCpp
-
-The `LlamaCpp` component provides access to the `llama.cpp` models.
-
-<Admonition type="info">
-Make sure to have the `llama.cpp` python package installed. Learn more about installation, supported models, and usage [here](https://github.com/ggerganov/llama.cpp).
-</Admonition>
-
-- **echo:** Whether to echo the prompt – defaults to `False`.
-- **f16_kv:** Use half-precision for key/value cache – defaults to `True`.
-- **last_n_tokens_size:** The number of tokens to look back at when applying the repeat_penalty. Defaults to `64`.
-- **logits_all:** Return logits for all tokens, not just the last token Defaults to `False`.
-- **logprobs:** The number of logprobs to return. If None, no logprobs are returned.
-- **lora_base:** The path to the Llama LoRA base model.
-- **lora_path:** The path to the Llama LoRA. If None, no LoRa is loaded.
-- **max_tokens:** The maximum number of tokens to generate. Defaults to `256`.
-- **model_path:** The path to the Llama model file.
-- **n_batch:** Number of tokens to process in parallel. Should be a number between 1 and n_ctx. Defaults to `8`.
-- **n_ctx:** Token context window. Defaults to `512`.
-- **n_gpu_layers:** Number of layers to be loaded into GPU memory. Default None.
-- **n_parts:**Number of parts to split the model into. If -1, the number of parts is automatically determined. Defaults to `-1`.
-- **n_threads:** Number of threads to use. If None, the number of threads is automatically determined.
-- **repeat_penalty:** The penalty to apply to repeated tokens. Defaults to `1.1`.
-- **seed:** Seed. If -1, a random seed is used. Defaults to `-1`.
-- **stop:** A list of strings to stop generation when encountered.
-- **streaming:** Whether to stream the results, token by token. Defaults to `True`.
-- **suffix:** A suffix to append to the generated text. If None, no suffix is appended.
-- **tags:** Tags to add to the run trace.
-- **temperature:** The temperature to use for sampling. Defaults to `0.8`.
-- **top_k:** The top-k value to use for sampling. Defaults to `40`.
-- **top_p:** The top-p value to use for sampling. Defaults to `0.95`.
-- **use_mlock:** Force the system to keep the model in RAM. Defaults to `False`.
-- **use_mmap:** Whether to keep the model loaded in RAM. Defaults to `True`.
-- **verbose:** This parameter is used to control the level of detail in the output of the chain. When set to True, it will print out some internal states of the chain while it is being run, which can help debug and understand the chain's behavior. If set to False, it will suppress the verbose output. Defaults to `False`.
-- **vocab_only:** Only load the vocabulary, no weights. Defaults to `False`.
-
----
-
-### OpenAI
-
-Wrapper around [OpenAI's](https://openai.com) large language models.
-
-- **max_tokens:** The maximum number of tokens to generate in the completion. `-1` returns as many tokens as possible, given the prompt and the model's maximal context size – defaults to `256`.
-- **model_kwargs:** Holds any model parameters valid for creating non-specified calls.
-- **model_name:** Defines the OpenAI model to be used.
-- **openai_api_base:** Used to specify the base URL for the OpenAI API. It is typically set to the API endpoint provided by the OpenAI service.
-- **openai_api_key:**  Key used to authenticate and access the OpenAI API.
-- **temperature:** Tunes the degree of randomness in text generations. Should be a non-negative value – defaults to `0.7`.
-
----
-
-### VertexAI
-
-Wrapper around [Google Vertex AI](https://cloud.google.com/vertex-ai) large language models.
-
-<Admonition type="info">
-Vertex AI is a cloud computing platform offered by Google Cloud Platform (GCP). It provides access, management, and development of applications and services through global data centers. To use Vertex AI PaLM, you need to have the [google-cloud-aiplatform](https://pypi.org/project/google-cloud-aiplatform/) Python package installed and credentials configured for your environment.
-</Admonition>
-
-- **credentials:** The default custom credentials (google.auth.credentials.Credentials) to use.
-- **location:** The default location to use when making API calls – defaults to `us-central1`.
-- **max_output_tokens:** Token limit determines the maximum amount of text output from one prompt – defaults to `128`.
-- **model_name:** The name of the Vertex AI large language model – defaults to `text-bison`.
-- **project:** The default GCP project to use when making Vertex API calls.
-- **request_parallelism:** The amount of parallelism allowed for requests issued to VertexAI models – defaults to `5`.
-- **temperature:** Tunes the degree of randomness in text generations. Should be a non-negative value – defaults to `0`.
-- **top_k:** How the model selects tokens for output, the next token is selected from – defaults to `40`.
-- **top_p:** Tokens are selected from most probable to least until the sum of their – defaults to `0.95`.
-- **tuned_model_name:** The name of a tuned model. If provided, model_name is ignored.
-- **verbose:** This parameter is used to control the level of detail in the output of the chain. When set to True, it will print out some internal states of the chain while it is being run, which can help debug and understand the chain's behavior. If set to False, it will suppress the verbose output – defaults to `False`.
-
----
-
-### ChatVertexAI
-
-Wrapper around [Google Vertex AI](https://cloud.google.com/vertex-ai) large language models.
-
-<Admonition type="info">
-Vertex AI is a cloud computing platform offered by Google Cloud Platform (GCP). It provides access, management, and development of applications and services through global data centers. To use Vertex AI PaLM, you need to have the [google-cloud-aiplatform](https://pypi.org/project/google-cloud-aiplatform/) Python package installed and credentials configured for your environment.
-</Admonition>
-
-- **credentials:** The default custom credentials (google.auth.credentials.Credentials) to use.
-- **location:** The default location to use when making API calls – defaults to `us-central1`.
-- **max_output_tokens:** Token limit determines the maximum amount of text output from one prompt – defaults to `128`.
-- **model_name:** The name of the Vertex AI large language model – defaults to `text-bison`.
-- **project:** The default GCP project to use when making Vertex API calls.
-- **request_parallelism:** The amount of parallelism allowed for requests issued to VertexAI models – defaults to `5`.
-- **temperature:** Tunes the degree of randomness in text generations. Should be a non-negative value – defaults to `0`.
-- **top_k:** How the model selects tokens for output, the next token is selected from – defaults to `40`.
-- **top_p:** Tokens are selected from most probable to least until the sum of their – defaults to `0.95`.
-- **tuned_model_name:** The name of a tuned model. If provided, model_name is ignored.
-- **verbose:** This parameter is used to control the level of detail in the output of the chain. When set to True, it will print out some internal states of the chain while it is being run, which can help debug and understand the chain's behavior. If set to False, it will suppress the verbose output – defaults to `False`.
\ No newline at end of file
diff --git a/docs/docs/components/loaders.mdx b/docs/docs/components/loaders.mdx
index b7f2d11fb6e..66c0c3a319b 100644
--- a/docs/docs/components/loaders.mdx
+++ b/docs/docs/components/loaders.mdx
@@ -2,6 +2,10 @@ import Admonition from '@theme/Admonition';
 
 # Loaders
 
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
 <Admonition type="caution" icon="🚧" title="ZONE UNDER CONSTRUCTION">
     <p>
         We appreciate your understanding as we polish our documentation – it may contain some rough edges. Share your feedback or report issues to help us improve! 🛠️📝
diff --git a/docs/docs/components/memories.mdx b/docs/docs/components/memories.mdx
index 3bf9a957ccd..3fdf610663a 100644
--- a/docs/docs/components/memories.mdx
+++ b/docs/docs/components/memories.mdx
@@ -1,108 +1,138 @@
-import Admonition from '@theme/Admonition';
+import Admonition from "@theme/Admonition";
 
 # Memories
 
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
 <Admonition type="caution" icon="🚧" title="ZONE UNDER CONSTRUCTION">
-    <p>
-        We appreciate your understanding as we polish our documentation – it may contain some rough edges. Share your feedback or report issues to help us improve! 🛠️📝
-    </p>
+  <p>
+    Thanks for your patience as we improve our documentation—it might have some
+    rough edges. Share your feedback or report issues to help us enhance it!
+    🛠️📝
+  </p>
 </Admonition>
 
-Memory is a concept in chat-based applications that allows the system to remember previous interactions. It helps in maintaining the context of the conversation and enables the system to understand new messages in relation to past messages.
+Memory is a concept in chat-based applications that allows the system to remember previous interactions. This capability helps maintain the context of the conversation and enables the system to understand new messages in light of past messages.
 
 ---
 
+### MessageHistory
+
+This component retrieves stored messages using various filters such as sender type, sender name, session ID, and the specific file path where messages are stored. It offers flexible retrieval of chat history, providing insights into past interactions.
+
+**Parameters**
+
+- **sender_type** (optional): Specifies the sender's type. Options include `"Machine"`, `"User"`, or `"Machine and User"`. Filters messages by the sender type.
+- **sender_name** (optional): Specifies the sender's name. Filters messages by the sender's name.
+- **session_id** (optional): Specifies the session ID of the chat history. Filters messages by session.
+- **number_of_messages**: Specifies the number of messages to retrieve. Defaults to `5`. Determines the number of recent messages from the chat history to fetch.
+
+<Admonition type="note" title="Note">
+  <p>
+    The component retrieves messages based on the provided criteria, including
+    the specific file path for stored messages. If no specific criteria are
+    provided, it returns the most recent messages up to the specified limit.
+    This component can be used to review past interactions and analyze
+    conversation flows.
+  </p>
+</Admonition>
+
 ### ConversationBufferMemory
 
-The `ConversationBufferMemory` component is a type of memory system that plainly stores the last few inputs and outputs of a conversation.
+The `ConversationBufferMemory` component stores the last few inputs and outputs of a conversation.
 
-**Params**
+**Parameters**
 
- - **input_key:** Used to specify the key under which the user input will be stored in the conversation memory. It allows you to provide the user's input to the chain for processing and generating a response.
-- **memory_key:** Specifies the prompt variable name where the memory will store and retrieve the chat messages. It allows for the preservation of the conversation history throughout the interaction with the language model – defaults to `chat_history`.
-- **output_key:** Used to specify the key under which the generated response will be stored in the conversation memory. It allows you to retrieve the response using the specified key.
-- **return_messages:** Determines whether the history should be returned as a string or as a list of messages. If `return_messages` is set to True, the history will be returned as a list of messages. If `return_messages` is set to False or not specified, the history will be returned as a string. The default is `False`.
+- **input_key**: Specifies the key under which the user input will be stored in the conversation memory.
+- **memory_key**: Specifies the prompt variable name where the memory will store and retrieve chat messages. Defaults to `chat_history`.
+- **output_key**: Specifies the key under which the generated response will be stored.
+- **return_messages**: Determines whether the history should be returned as a string or as a list of messages. The default is `False`.
 
 ---
 
 ### ConversationBufferWindowMemory
 
-`ConversationBufferWindowMemory` is a variation of the `ConversationBufferMemory` that maintains a list of the recent interactions in a conversation. It only keeps the last K interactions in memory, which can be useful for maintaining a sliding window of the most recent interactions without letting the buffer get too large. 
+`ConversationBufferWindowMemory` is a variant of the `ConversationBufferMemory` that keeps only the last K interactions in memory. It's useful for maintaining a sliding window of recent interactions without letting the buffer get too large.
 
-**Params**
+**Parameters**
 
-- **input_key:** Used to specify the keys in the memory object where the input messages should be stored. It allows for the retrieval and manipulation of input messages.
-- **memory_key:** Specifies the prompt variable name where the memory will store and retrieve the chat messages. It allows for the preservation of the conversation history throughout the interaction with the language model. Defaults to `chat_history`.
-- **k:** Used to specify the number of interactions or messages that should be stored in the conversation buffer. It determines the size of the sliding window that keeps track of the most recent interactions.
-- **output_key:** Used to specify the key under which the generated response will be stored in the conversation memory. It allows you to retrieve the response using the specified key.
-- **return_messages:** Determines whether the history should be returned as a string or as a list of messages. If `return_messages` is set to True, the history will be returned as a list of messages. If `return_messages` is set to False or not specified, the history will be returned as a string. The default is `False`.
+- **input_key**: Specifies the keys in the memory object where input messages are stored.
+- **memory_key**: Specifies the prompt variable name for storing and retrieving chat messages. Defaults to `chat_history`.
+- **k**: Specifies the number of interactions or messages to be stored in the conversation buffer.
+- **output_key**: Specifies the key under which the generated response will be stored.
+- **return_messages**: Determines whether the history should be returned as a string or as a list of messages. The default is `False`.
 
 ---
 
 ### ConversationEntityMemory
 
-The `ConversationEntityMemory` component incorporates intricate memory structures, specifically a key-value store, for entities referenced in a conversation. This facilitates the storage and retrieval of information related to entities that have been mentioned throughout the conversation.
+The `ConversationEntityMemory` component uses a key-value store to manage entities mentioned in conversations. This structure enhances the storage and retrieval of information about specific entities.
 
-**Params**
+**Parameters**
 
-- **Entity Store:** Structure that stores information about specific entities mentioned in a conversation.
-- **LLM:** Language Model to use in the `ConversationEntityMemory`.
-- **chat_history_key:** Specify a unique identifier for the chat history data associated with a particular entity. This allows for organizing and accessing the chat history data for each entity within the conversation entity memory. Defaults to `history`
-- **input_key:** Used to specify the keys in the memory object where the input messages should be stored. It allows for the retrieval and manipulation of input messages.
-- **k:** Refers to the number of entities that can be stored in the memory. It determines the maximum number of entities that can be stored and retrieved from the memory object. Defaults to `10`
-- **output_key:** Used to specify the key under which the generated response will be stored in the conversation memory. It allows you to retrieve the response using the specified key.
-- **return_messages:** Determines whether the history should be returned as a string or as a list of messages. If `return_messages` is set to True, the history will be returned as a list of messages. If `return_messages` is set to False or not specified, the history will be returned as a string. The default is `False`.
+- **entity_store**: A structure that stores information about entities mentioned in a conversation.
+- **LLM**: Specifies the language model used in the `ConversationEntityMemory`.
+- **chat_history_key**: A unique identifier for the chat history data associated with a particular entity. This key helps organize and access chat history data for each entity within the memory. Defaults to `history`.
+- **input_key**: Identifies where input messages are stored in the memory object, allowing for their retrieval and manipulation.
+- **k**: Specifies the maximum number of entities that can be stored and retrieved from the memory. Defaults to `10`.
+- **output_key**: Identifies the key under which the generated response is stored, enabling retrieval using this key.
+- **return_messages**: Controls whether the history is returned as a string or as a list of messages. Defaults to `False`.
 
 ---
 
 ### ConversationKGMemory
 
-`ConversationKGMemory` is a type of memory that uses a knowledge graph to recreate memory. It allows the extraction of entities and knowledge triplets from a new message, using previous messages as context.
+The `ConversationKGMemory` utilizes a knowledge graph to enhance memory capabilities. It extracts entities and knowledge triplets from new messages, using previous messages as context.
+
+**Parameters**
+
+- **LLM**: Specifies the language model used in the `ConversationKGMemory`.
+- **input_key**: Identifies where input messages are stored in the memory object, facilitating their retrieval and manipulation.
+- **k**: Indicates the number of previous conversation turns stored in memory, allowing the model to utilize information from these turns. Defaults to `10`.
+- **memory_key**: Specifies the prompt variable name where the memory stores and retrieves chat messages. Defaults to `chat_history`.
+- **output_key**: Identifies the key under which the generated response
 
-**Params**
+is stored, enabling retrieval using this key.
 
-- **LLM:** Language Model to use in the `ConversationKGMemory`.
-- **input_key:** Used to specify the keys in the memory object where the input messages should be stored. It allows for the retrieval and manipulation of input messages.
-- **k:** Represents the number of previous conversation turns that will be stored in the memory. By setting "k" to 2, it means that the memory will retain the previous 2 conversation turns, allowing the model to access and utilize the information from those turns during the conversation. Defaults to `10`
-- **memory_key:** Specifies the prompt variable name where the memory will store and retrieve the chat messages. It allows for the preservation of the conversation history throughout the interaction with the language model. Defaults to `chat_history`.
-- **output_key:** Used to specify the key under which the generated response will be stored in the conversation memory. It allows you to retrieve the response using the specified key.
-- **return_messages:** Determines whether the history should be returned as a string or as a list of messages. If `return_messages` is set to True, the history will be returned as a list of messages. If `return_messages` is set to False or not specified, the history will be returned as a string. The default is `False`.
+- **return_messages**: Controls whether the history is returned as a string or as a list of messages. Defaults to `False`.
 
 ---
 
 ### ConversationSummaryMemory
 
-The `ConversationSummaryMemory` is a memory component that creates a summary of the conversation over time. It condenses information from the conversation and stores the current summary in memory. It is particularly useful for longer conversations where keeping the entire message history in the prompt would take up too many tokens. 
+The `ConversationSummaryMemory` summarizes conversations over time, condensing information and storing it efficiently. It's particularly useful for long conversations.
 
-**Params**
+**Parameters**
 
-- **LLM:** Language Model to use in the `ConversationSummaryMemory`.
-- **input_key:** Used to specify the keys in the memory object where the input messages should be stored. It allows for the retrieval and manipulation of input messages.
-- **memory_key:** Specifies the prompt variable name where the memory will store and retrieve the chat messages. It allows for the preservation of the conversation history throughout the interaction with the language model. Defaults to `chat_history`.
-- **output_key:** Used to specify the key under which the generated response will be stored in the conversation memory. It allows you to retrieve the response using the specified key.
-- **return_messages:** Determines whether the history should be returned as a string or as a list of messages. If `return_messages` is set to True, the history will be returned as a list of messages. If `return_messages` is set to False or not specified, the history will be returned as a string. The default is `False`.
+- **LLM**: Specifies the language model used in the `ConversationSummaryMemory`.
+- **input_key**: Identifies where input messages are stored in the memory object, facilitating their retrieval and manipulation.
+- **memory_key**: Specifies the prompt variable name where the memory stores and retrieves chat messages. Defaults to `chat_history`.
+- **output_key**: Identifies the key under which the generated response is stored, enabling retrieval using this key.
+- **return_messages**: Controls whether the history is returned as a string or as a list of messages. Defaults to `False`.
 
 ---
 
 ### PostgresChatMessageHistory
 
-The `PostgresChatMessageHistory` is a memory component that allows for the storage and retrieval of chat message history using a PostgreSQL database. The connection to the PostgreSQL database is established using a connection string, which includes the necessary authentication and database information.
+The `PostgresChatMessageHistory` component uses a PostgreSQL database to store and retrieve chat message history.
 
-**Params**
+**Parameters**
 
-- **connection_string:** Refers to a string that contains the necessary information to establish a connection to a PostgreSQL database. The `connection_string` typically includes details such as the username, password, host, port, and database name required to connect to the PostgreSQL database. Defaults to `postgresql://postgres:mypassword@localhost/chat_history`
-- **session_id:** It is a unique identifier that is used to associate chat message history with a specific session or conversation.
-- **table_name:** Refers to the name of the table in the PostgreSQL database where the chat message history will be stored. Defaults to `message_store`
+- **connection_string**: Specifies the details needed to connect to the PostgreSQL database, including username, password, host, port, and database name. Defaults to `postgresql://postgres:mypassword@localhost/chat_history`.
+- **session_id**: A unique identifier used to link chat message history with a specific session or conversation.
+- **table_name**: The name of the PostgreSQL database table where chat message history is stored. Defaults to `message_store`.
 
 ---
 
 ### VectorRetrieverMemory
 
-The `VectorRetrieverMemory` is a memory component that allows for the retrieval of vectors based on a given query. It is used to perform vector-based searches and retrievals.
+The `VectorRetrieverMemory` retrieves vectors based on queries, facilitating vector-based searches and retrievals.
 
-**Params**
+**Parameters**
 
-- **Retriever:** The retriever used to fetch documents.
-- **input_key:** Used to specify the keys in the memory object where the input messages should be stored. It allows for the retrieval and manipulation of input messages.
-- **memory_key:** Specifies the prompt variable name where the memory will store and retrieve the chat messages. It allows for the preservation of the conversation history throughout the interaction with the language model – defaults to `chat_history`.
-- **return_messages:** Determines whether the history should be returned as a string or as a list of messages. If `return_messages` is set to True, the history will be returned as a list of messages. If `return_messages` is set to False or not specified, the history will be returned as a string – defaults to `False`.
\ No newline at end of file
+- **Retriever**: The tool used to fetch documents.
+- **input_key**: Identifies where input messages are stored in the memory object, facilitating their retrieval and manipulation.
+- **memory_key**: Specifies the prompt variable name where the memory stores and retrieves chat messages. Defaults to `chat_history`.
+- **return_messages**: Controls whether the history is returned as a string or as a list of messages. Defaults to `False`.
diff --git a/docs/docs/components/model_specs.mdx b/docs/docs/components/model_specs.mdx
new file mode 100644
index 00000000000..d5835e9d7d3
--- /dev/null
+++ b/docs/docs/components/model_specs.mdx
@@ -0,0 +1,144 @@
+import Admonition from "@theme/Admonition";
+
+# Large Language Models (LLMs)
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+A Large Language Model (LLM) is a foundational component of Langflow. It provides a uniform interface for interacting with LLMs from various providers, including OpenAI, Cohere, and HuggingFace. Langflow extensively uses LLMs across its chains and agents, employing them to generate text based on specific prompts or inputs.
+
+---
+
+## Anthropic
+
+This is a wrapper for Anthropic's large language models. Learn more at [Anthropic](https://www.anthropic.com).
+
+- **anthropic_api_key:** This key authenticates and authorizes access to the Anthropic API.
+- **anthropic_api_url:** This URL connects to the Anthropic API.
+- **temperature:** This parameter adjusts the randomness level in text generation. Set this to a non-negative number.
+
+---
+
+## ChatAnthropic
+
+This is a wrapper for Anthropic's large language model designed for chat-based interactions. Learn more at [Anthropic](https://www.anthropic.com).
+
+- **anthropic_api_key:** This key authenticates and authorizes access to the Anthropic API.
+- **anthropic_api_url:** This URL connects to the Anthropic API.
+- **temperature:** This parameter adjusts the randomness level in text generation. Set this to a non-negative number.
+
+---
+
+## CTransformers
+
+`CTransformers` provides access to Transformer models implemented in C/C++ using the [GGML](https://github.com/ggerganov/ggml) library.
+
+<Admonition type="info">
+  Ensure the `ctransformers` Python package is installed. Discover more about
+  installation, supported models, and usage
+  [here](https://github.com/marella/ctransformers).
+</Admonition>
+
+- **config:** This configuration is for the Transformer models. Check the default settings and possible configurations at [config](https://github.com/marella/ctransformers#config).
+
+```json
+{
+  "top_k": 40,
+  "top_p": 0.95,
+  "temperature": 0.8,
+  "repetition_penalty": 1.1,
+  "last_n_tokens": 64,
+  "seed": -1,
+  "max_new_tokens": 256,
+  "stop": null,
+  "stream": false,
+  "reset": true,
+  "batch_size": 8,
+  "threads": -1,
+  "context_length": -1,
+  "gpu_layers": 0
+}
+```
+
+- **model**: The file path, directory, or Hugging Face Hub model repository name.
+- **model_file**: The specific model file name within the repository or directory.
+- **model_type**: The type of transformer model used. For further information, visit [ctransformers](https://github.com/marella/ctransformers).
+
+## ChatOpenAI Component
+
+This component interfaces with [OpenAI's](https://openai.com) large language models, supporting a variety of tasks such as chatbots, generative question-answering, and summarization.
+
+- **max_tokens**: The maximum number of tokens to generate for each completion. Set to `-1` to generate as many tokens as possible, based on the model's context size. The default is `256`.
+- **model_kwargs**: A dictionary containing any additional model parameters for undefined calls.
+- **model_name**: Specifies the OpenAI chat model in use.
+- **openai_api_base**: The base URL for accessing the OpenAI API.
+- **openai_api_key**: The API key required for authentication with the OpenAI API.
+- **temperature**: Adjusts the randomness level of the text generation. This should be a non-negative number, defaulting to `0.7`.
+
+## Cohere Component
+
+A wrapper for accessing [Cohere's](https://cohere.com) large language models.
+
+- **cohere_api_key**: The API key needed for Cohere service authentication.
+- **max_tokens**: The limit on the number of tokens to generate per request, defaulting to `256`.
+- **temperature**: Adjusts the randomness level in text generations. This should be a non-negative number, defaulting to `0.75`.
+
+## HuggingFaceHub Component
+
+A component facilitating access to models hosted on the [HuggingFace Hub](https://www.huggingface.co/models).
+
+- **huggingfacehub_api_token**: The token required for API authentication.
+- **model_kwargs**: Parameters passed to the model.
+- **repo_id**: Specifies the model repository, defaulting to `gpt2`.
+- **task**: The specific task to execute with the model, returning either `generated_text` or `summary_text`.
+
+## LlamaCpp Component
+
+This component provides access to `llama.cpp` models, ensuring high performance and flexibility.
+
+- **echo**: Whether to echo the input prompt, defaulting to `False`.
+- **f16_kv**: Indicates if half-precision should be used for the key/value cache, defaulting to `True`.
+- **last_n_tokens_size**: The lookback size for applying repeat penalties, defaulting to `64`.
+- **logits_all**: Whether to return logits for all tokens or just the last one, defaulting to `False`.
+- **logprobs**: The number of log probabilities to return. If set to None, no probabilities are returned.
+- **lora_base**: The path to the base Llama LoRA model.
+- **lora_path**: The specific path to the Llama LoRA model. If set to None, no LoRA model is loaded.
+- **max_tokens**: The maximum number of tokens to generate in one session, defaulting to `256`.
+- **model_path**: The file path to the Llama model.
+- **n_batch**: The number of tokens processed in parallel, defaulting to `8`.
+- **n_ctx**: The context window size for tokens, defaulting to `512`.
+- **repeat_penalty**: The penalty applied to repeated tokens, defaulting to `1.1`.
+- **seed**: The seed for random number generation. If set to `-1`, a random seed is used.
+- **stop**: A list of stop strings that terminate generation when encountered.
+- **streaming**: Indicates whether to stream results token by token, defaulting to `True`.
+- **suffix**: A suffix appended to generated text. If None, no suffix is appended.
+- **tags**: Tags added to the execution trace for monitoring.
+- **temperature**: The sampling temperature, defaulting to `0.8`.
+- **top_k**: The top-k sampling setting, defaulting to `40`.
+- **top_p**: The cumulative probability threshold for top-p sampling, defaulting to `0.95`.
+- **use_mlock**: Forces the system to retain the model in RAM, defaulting to `False`.
+- **use_mmap**: Indicates whether to maintain the model loaded in RAM, defaulting to `True`.
+- **verbose**: Controls the verbosity of output details. When enabled, it provides insights into internal states to aid debugging and understanding, defaulting to `False`.
+- **vocab_only**: Loads only the vocabulary without model weights, defaulting to `False`.
+
+## VertexAI Component
+
+This component integrates with [Google Vertex AI](https://cloud.google.com/vertex-ai) large language models to enhance AI capabilities.
+
+- **credentials**: Custom
+
+credentials used for API interactions.
+
+- **location**: The default location for API calls, defaulting to `us-central1`.
+- **max_output_tokens**: Limits the output tokens per prompt, defaulting to `128`.
+- **model_name**: The name of the Vertex AI model in use, defaulting to `text-bison`.
+- **project**: The default Google Cloud Platform project for API calls.
+- **request_parallelism**: The level of request parallelism for VertexAI model interactions, defaulting to `5`.
+- **temperature**: Adjusts the randomness level in text generations, defaulting to `0`.
+- **top_k**: The setting for selecting the top-k tokens for outputs.
+- **top_p**: The threshold for summing probabilities of the most likely tokens, defaulting to `0.95`.
+- **tuned_model_name**: Specifies a tuned model name, which overrides the default model name if provided.
+- **verbose**: Controls the output verbosity to assist in debugging and understanding the operational details, defaulting to `False`.
+
+---
diff --git a/docs/docs/components/models.mdx b/docs/docs/components/models.mdx
new file mode 100644
index 00000000000..4d739b59ead
--- /dev/null
+++ b/docs/docs/components/models.mdx
@@ -0,0 +1,354 @@
+import Admonition from "@theme/Admonition";
+
+# Models
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+## Amazon Bedrock
+
+This component facilitates the generation of text using the LLM (Large Language Model) model from Amazon Bedrock.
+
+**Params**
+
+- **Input Value:** Specifies the input text for text generation.
+
+- **System Message (Optional):** A system message to pass to the model.
+
+- **Model ID (Optional):** Specifies the model ID to be used for text generation. Defaults to _`"anthropic.claude-instant-v1"`_. Available options include:
+
+  - _`"ai21.j2-grande-instruct"`_
+  - _`"ai21.j2-jumbo-instruct"`_
+  - _`"ai21.j2-mid"`_
+  - _`"ai21.j2-mid-v1"`_
+  - _`"ai21.j2-ultra"`_
+  - _`"ai21.j2-ultra-v1"`_
+  - _`"anthropic.claude-instant-v1"`_
+  - _`"anthropic.claude-v1"`_
+  - _`"anthropic.claude-v2"`_
+  - _`"cohere.command-text-v14"`_
+
+- **Credentials Profile Name (Optional):** Specifies the name of the credentials profile.
+
+- **Region Name (Optional):** Specifies the region name.
+
+- **Model Kwargs (Optional):** Additional keyword arguments for the model.
+
+- **Endpoint URL (Optional):** Specifies the endpoint URL.
+
+- **Streaming (Optional):** Specifies whether to stream the response from the model. Defaults to _`False`_.
+
+- **Cache (Optional):** Specifies whether to cache the response.
+
+- **Stream (Optional):** Specifies whether to stream the response from the model. Defaults to _`False`_.
+
+<Admonition type="note" title="Note">
+  <p>
+    Ensure that necessary credentials are provided to connect to the Amazon
+    Bedrock API. If connection fails, a ValueError will be raised.
+  </p>
+</Admonition>
+
+---
+
+## Anthropic
+
+This component allows the generation of text using Anthropic Chat&Completion large language models.
+
+**Params**
+
+- **Model Name:** Specifies the name of the Anthropic model to be used for text generation. Available options include:
+
+  - _`"claude-2.1"`_
+  - _`"claude-2.0"`_
+  - _`"claude-instant-1.2"`_
+  - _`"claude-instant-1"`_
+
+- **Anthropic API Key:** Your Anthropic API key.
+
+- **Max Tokens (Optional):** Specifies the maximum number of tokens to generate. Defaults to _`256`_.
+
+- **Temperature (Optional):** Specifies the sampling temperature. Defaults to _`0.7`_.
+
+- **API Endpoint (Optional):** Specifies the endpoint of the Anthropic API. Defaults to _`"https://api.anthropic.com"`_ if not specified.
+
+- **Input Value:** Specifies the input text for text generation.
+
+- **Stream (Optional):** Specifies whether to stream the response from the model. Defaults to _`False`_.
+
+- **System Message (Optional):** A system message to pass to the model.
+
+For detailed documentation and integration guides, please refer to the [Anthropic Component Documentation](https://python.langchain.com/docs/integrations/chat/anthropic).
+
+---
+
+## Azure OpenAI
+
+This component allows the generation of text using the LLM (Large Language Model) model from Azure OpenAI.
+
+**Params**
+
+- **Model Name:** Specifies the name of the Azure OpenAI model to be used for text generation. Available options include:
+
+  - _`"gpt-35-turbo"`_
+  - _`"gpt-35-turbo-16k"`_
+  - _`"gpt-35-turbo-instruct"`_
+  - _`"gpt-4"`_
+  - _`"gpt-4-32k"`_
+  - _`"gpt-4-vision"`_
+
+- **Azure Endpoint:** Your Azure endpoint, including the resource. Example: `https://example-resource.azure.openai.com/`.
+
+- **Deployment Name:** Specifies the name of the deployment.
+
+- **API Version:** Specifies the version of the Azure OpenAI API to be used. Available options include:
+
+  - _`"2023-03-15-preview"`_
+  - _`"2023-05-15"`_
+  - _`"2023-06-01-preview"`_
+  - _`"2023-07-01-preview"`_
+  - _`"2023-08-01-preview"`_
+  - _`"2023-09-01-preview"`_
+  - _`"2023-12-01-preview"`_
+
+- **API Key:** Your Azure OpenAI API key.
+
+- **Temperature (Optional):** Specifies the sampling temperature. Defaults to _`0.7`_.
+
+- **Max Tokens (Optional):** Specifies the maximum number of tokens to generate. Defaults to _`1000`_.
+
+- **Input Value:** Specifies the input text for text generation.
+
+- **Stream (Optional):** Specifies whether to stream the response from the model. Defaults to _`False`_.
+
+- **System Message (Optional):** A system message to pass to the model.
+
+For detailed documentation and integration guides, please refer to the [Azure OpenAI Component Documentation](https://python.langchain.com/docs/integrations/llms/azure_openai).
+
+---
+
+## Cohere
+
+This component enables text generation using Cohere large language models.
+
+**Params**
+
+- **Cohere API Key:** Your Cohere API key.
+
+- **Max Tokens (Optional):** Specifies the maximum number of tokens to generate. Defaults to _`256`_.
+
+- **Temperature (Optional):** Specifies the sampling temperature. Defaults to _`0.75`_.
+
+- **Input Value:** Specifies the input text for text generation.
+
+- **Stream (Optional):** Specifies whether to stream the response from the model. Defaults to _`False`_.
+
+- **System Message (Optional):** A system message to pass to the model.
+
+---
+
+## Google Generative AI
+
+This component enables text generation using Google Generative AI.
+
+**Params**
+
+- **Google API Key:** Your Google API key to use for the Google Generative AI.
+
+- **Model:** The name of the model to use. Supported examples are _`"gemini-pro"`_ and _`"gemini-pro-vision"`_.
+
+- **Max Output Tokens (Optional):** The maximum number of tokens to generate.
+
+- **Temperature:** Run inference with this temperature. Must be in the closed interval [0.0, 1.0].
+
+- **Top K (Optional):** Decode using top-k sampling: consider the set of top_k most probable tokens. Must be positive.
+
+- **Top P (Optional):** The maximum cumulative probability of tokens to consider when sampling.
+
+- **N (Optional):** Number of chat completions to generate for each prompt. Note that the API may not return the full n completions if duplicates are generated.
+
+- **Input Value:** The input to the model.
+
+- **Stream (Optional):** Specifies whether to stream the response from the model. Defaults to _`False`_.
+
+- **System Message (Optional):** A system message to pass to the model.
+
+---
+
+## Hugging Face API
+
+This component facilitates text generation using LLM models from the Hugging Face Inference API.
+
+**Params**
+
+- **Endpoint URL:** The URL of the Hugging Face Inference API endpoint. Should be provided along with necessary authentication credentials.
+
+- **Task:** Specifies the task for text generation. Options include _`"text2text-generation"`_, _`"text-generation"`_, and _`"summarization"`_.
+
+- **API Token:** The API token required for authentication with the Hugging Face Hub.
+
+- **Model Keyword Arguments (Optional):** Additional keyword arguments for the model. Should be provided as a Python dictionary.
+
+- **Input Value:** The input text for text generation.
+
+- **Stream (Optional):** Specifies whether to stream the response from the model. Defaults to _`False`_.
+
+- **System Message (Optional):** A system message to pass to the model.
+
+---
+
+## LiteLLM Model
+
+Generates text using the `LiteLLM` collection of large language models.
+
+**Parameters**
+
+- **Model name:** The name of the model to use. For example, `gpt-3.5-turbo`. (Type: str)
+- **API key:** The API key to use for accessing the provider's API. (Type: str, Optional)
+- **Provider:** The provider of the API key. (Type: str, Choices: "OpenAI", "Azure", "Anthropic", "Replicate", "Cohere", "OpenRouter")
+- **Temperature:** Controls the randomness of the text generation. (Type: float, Default: 0.7)
+- **Model kwargs:** Additional keyword arguments for the model. (Type: Dict, Optional)
+- **Top p:** Filter responses to keep the cumulative probability within the top p tokens. (Type: float, Optional)
+- **Top k:** Filter responses to only include the top k tokens. (Type: int, Optional)
+- **N:** Number of chat completions to generate for each prompt. (Type: int, Default: 1)
+- **Max tokens:** The maximum number of tokens to generate for each chat completion. (Type: int, Default: 256)
+- **Max retries:** Maximum number of retries for failed requests. (Type: int, Default: 6)
+- **Verbose:** Whether to print verbose output. (Type: bool, Default: False)
+- **Input:** The input prompt for text generation. (Type: str)
+- **Stream:** Whether to stream the output. (Type: bool, Default: False)
+- **System message:** System message to pass to the model. (Type: str, Optional)
+
+---
+
+## Ollama
+
+Generate text using Ollama Local LLMs.
+
+**Parameters**
+
+- **Base URL:** Endpoint of the Ollama API. Defaults to 'http://localhost:11434' if not specified.
+- **Model Name:** The model name to use. Refer to [Ollama Library](https://ollama.ai/library) for more models.
+- **Temperature:** Controls the creativity of model responses. (Default: 0.8)
+- **Cache:** Enable or disable caching. (Default: False)
+- **Format:** Specify the format of the output (e.g., json). (Advanced)
+- **Metadata:** Metadata to add to the run trace. (Advanced)
+- **Mirostat:** Enable/disable Mirostat sampling for controlling perplexity. (Default: Disabled)
+- **Mirostat Eta:** Learning rate for Mirostat algorithm. (Default: None) (Advanced)
+- **Mirostat Tau:** Controls the balance between coherence and diversity of the output. (Default: None) (Advanced)
+- **Context Window Size:** Size of the context window for generating tokens. (Default: None) (Advanced)
+- **Number of GPUs:** Number of GPUs to use for computation. (Default: None) (Advanced)
+- **Number of Threads:** Number of threads to use during computation. (Default: None) (Advanced)
+- **Repeat Last N:** How far back the model looks to prevent repetition. (Default: None) (Advanced)
+- **Repeat Penalty:** Penalty for repetitions in generated text. (Default: None) (Advanced)
+- **TFS Z:** Tail free sampling value. (Default: None) (Advanced)
+- **Timeout:** Timeout for the request stream. (Default: None) (Advanced)
+- **Top K:** Limits token selection to top K. (Default: None) (Advanced)
+- **Top P:** Works together with top-k. (Default: None) (Advanced)
+- **Verbose:** Whether to print out response text.
+- **Tags:** Tags to add to the run trace. (Advanced)
+- **Stop Tokens:** List of tokens to signal the model to stop generating text. (Advanced)
+- **System:** System to use for generating text. (Advanced)
+- **Template:** Template to use for generating text. (Advanced)
+- **Input:** The input text.
+- **Stream:** Whether to stream the response.
+- **System Message:** System message to pass to the model. (Advanced)
+
+---
+
+## OpenAI
+
+This component facilitates text generation using OpenAI's models.
+
+**Params**
+
+- **Input Value:** The input text for text generation.
+
+- **Max Tokens (Optional):** The maximum number of tokens to generate. Defaults to _`256`_.
+
+- **Model Kwargs (Optional):** Additional keyword arguments for the model. Should be provided as a nested dictionary.
+
+- **Model Name (Optional):** The name of the model to use. Defaults to _`gpt-4-1106-preview`_. Supported options include: _`gpt-4-turbo-preview`_, _`gpt-4-0125-preview`_, _`gpt-4-1106-preview`_, _`gpt-4-vision-preview`_, _`gpt-3.5-turbo-0125`_, _`gpt-3.5-turbo-1106`_.
+
+- **OpenAI API Base (Optional):** The base URL of the OpenAI API. Defaults to _`https://api.openai.com/v1`_.
+
+- **OpenAI API Key (Optional):** The API key for accessing the OpenAI API.
+
+- **Temperature:** Controls the creativity of model responses. Defaults to _`0.7`_.
+
+- **Stream (Optional):** Specifies whether to stream the response from the model. Defaults to _`False`_.
+
+- **System Message (Optional):** System message to pass to the model.
+
+---
+
+## Qianfan
+
+This component facilitates the generation of text using Baidu Qianfan chat models.
+
+**Params**
+
+- **Model Name:** Specifies the name of the Qianfan chat model to be used for text generation. Available options include:
+
+  - _`"ERNIE-Bot"`_
+  - _`"ERNIE-Bot-turbo"`_
+  - _`"BLOOMZ-7B"`_
+  - _`"Llama-2-7b-chat"`_
+  - _`"Llama-2-13b-chat"`_
+  - _`"Llama-2-70b-chat"`_
+  - _`"Qianfan-BLOOMZ-7B-compressed"`_
+  - _`"Qianfan-Chinese-Llama-2-7B"`_
+  - _`"ChatGLM2-6B-32K"`_
+  - _`"AquilaChat-7B"`_
+
+- **Qianfan Ak:** Your Baidu Qianfan access key, obtainable from [here](https://cloud.baidu.com/product/wenxinworkshop).
+
+- **Qianfan Sk:** Your Baidu Qianfan secret key, obtainable from [here](https://cloud.baidu.com/product/wenxinworkshop).
+
+- **Top p (Optional):** Model parameter. Specifies the top-p value. Only supported in ERNIE-Bot and ERNIE-Bot-turbo models. Defaults to _`0.8`_.
+
+- **Temperature (Optional):** Model parameter. Specifies the sampling temperature. Only supported in ERNIE-Bot and ERNIE-Bot-turbo models. Defaults to _`0.95`_.
+
+- **Penalty Score (Optional):** Model parameter. Specifies the penalty score. Only supported in ERNIE-Bot and ERNIE-Bot-turbo models. Defaults to _`1.0`_.
+
+- **Endpoint (Optional):** Endpoint of the Qianfan LLM, required if custom model is used.
+
+- **Input Value:** Specifies the input text for text generation.
+
+- **Stream (Optional):** Specifies whether to stream the response from the model. Defaults to _`False`_.
+
+- **System Message (Optional):** A system message to pass to the model.
+
+---
+
+## Vertex AI
+
+The `ChatVertexAI` is a component for generating text using Vertex AI Chat large language models API.
+
+**Params**
+
+- **Credentials:** The JSON file containing the credentials for accessing the Vertex AI Chat API.
+
+- **Project:** The name of the project associated with the Vertex AI Chat API.
+
+- **Examples (Optional):** List of examples to provide context for text generation.
+
+- **Location:** The location of the Vertex AI Chat API service. Defaults to _`us-central1`_.
+
+- **Max Output Tokens:** The maximum number of tokens to generate. Defaults to _`128`_.
+
+- **Model Name:** The name of the model to use. Defaults to _`chat-bison`_.
+
+- **Temperature:** Controls the creativity of model responses. Defaults to _`0.0`_.
+
+- **Input Value:** The input text for text generation.
+
+- **Top K:** Limits token selection to top K. Defaults to _`40`_.
+
+- **Top P:** Works together with top-k. Defaults to _`0.95`_.
+
+- **Verbose:** Whether to print out response text. Defaults to _`False`_.
+
+- **Stream (Optional):** Specifies whether to stream the response from the model. Defaults to _`False`_.
+
+- **System Message (Optional):** System message to pass to the model.
diff --git a/docs/docs/components/prompts.mdx b/docs/docs/components/prompts.mdx
deleted file mode 100644
index 3aafc9b965e..00000000000
--- a/docs/docs/components/prompts.mdx
+++ /dev/null
@@ -1,27 +0,0 @@
-import Admonition from "@theme/Admonition";
-
-# Prompts
-
-<Admonition type="caution" icon="🚧" title="ZONE UNDER CONSTRUCTION">
-  <p>
-    We appreciate your understanding as we polish our documentation – it may
-    contain some rough edges. Share your feedback or report issues to help us
-    improve! 🛠️📝
-  </p>
-</Admonition>
-
-A prompt refers to the input given to a language model. It is constructed from multiple components and can be parametrized using prompt templates. A prompt template is a reproducible way to generate prompts and allow for easy customization through input variables.
-
----
-
-### PromptTemplate
-
-The `PromptTemplate` component allows users to create prompts and define variables that provide control over instructing the model. The template can take in a set of variables from the end user and generates the prompt once the conversation is initiated.
-
-<Admonition type="info">
-  Once a variable is defined in the prompt template, it becomes a component
-  input of its own. Check out [Prompt
-  Customization](../docs/guidelines/prompt-customization.mdx) to learn more.
-</Admonition>
-
-- **template:** Template used to format an individual request.
diff --git a/docs/docs/components/retrievers.mdx b/docs/docs/components/retrievers.mdx
index bc5ec74c197..e13ed2d8946 100644
--- a/docs/docs/components/retrievers.mdx
+++ b/docs/docs/components/retrievers.mdx
@@ -1,24 +1,22 @@
-import Admonition from '@theme/Admonition';
+import Admonition from "@theme/Admonition";
 
 # Retrievers
 
-<Admonition type="caution" icon="🚧" title="ZONE UNDER CONSTRUCTION">
-    <p>
-        We appreciate your understanding as we polish our documentation – it may contain some rough edges. Share your feedback or report issues to help us improve! 🛠️📝
-    </p>
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
 </Admonition>
 
-A retriever is an interface that returns documents given an unstructured query. It is more general than a vector store and does not need to be able to store documents, only to return or retrieve them.
+A retriever is an interface that returns documents in response to an unstructured query. It's broader than a vector store because it doesn't need to store documents; it only needs to retrieve them.
 
 ---
 
-### MultiQueryRetriever
+## MultiQueryRetriever
 
-The `MultiQueryRetriever` component automates the process of generating multiple queries, retrieves relevant documents for each query, and combines the results to provide a more extensive and diverse set of potentially relevant documents. This approach enhances the effectiveness of the retrieval process and helps overcome the limitations of traditional distance-based retrieval methods.
+The `MultiQueryRetriever` automates generating multiple queries, retrieves relevant documents for each query, and aggregates the results. This method improves retrieval effectiveness and addresses the limitations of traditional distance-based methods.
 
-**Params**
+**Parameters**
 
-- **LLM:** Language Model to use in the `MultiQueryRetriever`.
-- **Prompt:** Prompt to represent a schema for an LLM.
-- **Retriever:** The retriever used to fetch documents.
-- **parser_key:** This parameter is used to specify the key or attribute name of the parsed output that will be used for retrieval. It determines how the results from the language model are split into a list of queries. Defaults to `lines`, which means that the output from the language model will be split into a list of lines of text. This allows the retriever to retrieve relevant documents based on each line of text separately.
+- **LLM:** Specifies the language model used in the `MultiQueryRetriever`.
+- **Prompt:** Defines a schema for the LLM.
+- **Retriever:** Identifies the retriever that fetches documents.
+- **parser_key:** Specifies the key or attribute name of the parsed output for retrieval. By default, it's set to `lines`, meaning the output from the language model is split into separate lines of text. This allows the retriever to fetch documents relevant to each line of text.
diff --git a/docs/docs/components/text-and-record.mdx b/docs/docs/components/text-and-record.mdx
new file mode 100644
index 00000000000..ab3f9302f4e
--- /dev/null
+++ b/docs/docs/components/text-and-record.mdx
@@ -0,0 +1,55 @@
+import Admonition from "@theme/Admonition";
+
+# Text and Data
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+There are two main input and output types: `Text` and `Data`.
+
+`Text` is a simple string input and output type, while `Data` is a structure very similar to a dictionary in Python. It is a key-value pair data structure.
+
+We've created a few components to help you work with these types. Let's see how a few of them work.
+
+## Data To Text
+
+This is a component that takes in Data and outputs a `Text`. It does this using a template string and concatenating the values of the `Data`, one per line.
+
+If we have the following Data:
+
+```json
+{
+  "sender_name": "Alice",
+  "message": "Hello!"
+}
+{
+  "sender_name": "John",
+  "message": "Hi!"
+}
+```
+
+And the template string is: _`{sender_name}: {message}`_
+
+The output is:
+
+```
+Alice: Hello!
+John: Hi!
+```
+
+## Create Data
+
+This component allows you to create a `Data` from a number of inputs. You can add as many key-value pairs as you want (as long as it is less than 15). Once you've picked that number you'll need to write the name of the Key and can pass `Text` values from other components to it.
+
+## Documents To Data
+
+This component takes in a LangChain `Document` and outputs a `Data`. It does this by extracting the `page_content` and the `metadata` from the `Document` and adding them to the `Data` as text and data respectively.
+
+## Why is this useful?
+
+The idea was to create a unified way to work with complex data in Langflow and to make it easier to work with data that is not just a simple string. This way you can create more complex workflows and use the data in more ways.
+
+## What's next?
+
+We are planning to integrate an array of modalities to Langflow, such as images, audio, and video. This will allow you to create even more complex workflows and use cases. Stay tuned for more updates! 🚀
diff --git a/docs/docs/components/text-splitters.mdx b/docs/docs/components/text-splitters.mdx
index c6efe45534a..b438d9c2134 100644
--- a/docs/docs/components/text-splitters.mdx
+++ b/docs/docs/components/text-splitters.mdx
@@ -2,62 +2,45 @@ import Admonition from "@theme/Admonition";
 
 # Text Splitters
 
-<Admonition type="caution" icon="🚧" title="ZONE UNDER CONSTRUCTION">
-  <p>
-    We appreciate your understanding as we polish our documentation – it may
-    contain some rough edges. Share your feedback or report issues to help us
-    improve! 🛠️📝
-  </p>
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
 </Admonition>
 
-A text splitter is a tool that divides a document or text into smaller chunks or segments. It is used to break down large texts into more manageable pieces for analysis or processing.
+A text splitter is a tool that divides a document or text into smaller chunks or segments. This helps make large texts more manageable for analysis or processing.
 
 ---
 
-### CharacterTextSplitter
+## CharacterTextSplitter
 
-The `CharacterTextSplitter` is used to split a long text into smaller chunks based on a specified character. It splits the text by trying to keep paragraphs, sentences, and words together as long as possible, as these are semantically related pieces of text.
+The `CharacterTextSplitter` splits a long text into smaller chunks based on a specified character. It aims to keep paragraphs, sentences, and words intact as much as possible since these are semantically related elements of text.
 
-**Params**
+**Parameters**
 
-- **Documents:** Input documents to split.
-
-- **chunk_overlap:** Determines the number of characters that overlap between consecutive chunks when splitting text. It specifies how much of the previous chunk should be included in the next chunk.
-
-  For example, if the `chunk_overlap` is set to 20 and the `chunk_size` is set to 100, the splitter will create chunks of 100 characters each, but the last 20 characters of each chunk will overlap with the first 20 characters of the next chunk. This allows for a smoother transition between chunks and ensures that no information is lost – defaults to `200`.
-
-- **chunk_size:** Determines the maximum number of characters in each chunk when splitting a text. It specifies the size or length of each chunk.
-
-  For example, if the chunk_size is set to 100, the splitter will create chunks of 100 characters each. If the text is longer than 100 characters, it will be divided into multiple chunks of equal size, except for the last chunk, which may be smaller if there are remaining characters –defaults to `1000`.
-
-- **separator:** Specifies the character that will be used to split the text into chunks – defaults to `.`
+- **Documents:** The input documents to split.
+- **chunk_overlap:** The number of characters that overlap between consecutive chunks. This setting ensures a smoother transition between chunks and prevents information loss. For example, with a `chunk_overlap` of 20 and a `chunk_size` of 100, each chunk will have the last 20 characters overlap with the next chunk's first 20 characters. The default is `200`.
+- **chunk_size:** The maximum number of characters in each chunk. If the text exceeds the specified `chunk_size`, it will be divided into multiple chunks of equal size, with the possible exception of the last chunk, which may be smaller if fewer characters remain. The default is `1000`.
+- **separator:** The character used to split the text into chunks. The default is `.`.
 
 ---
 
-### RecursiveCharacterTextSplitter
-
-The `RecursiveCharacterTextSplitter` splits the text by trying to keep paragraphs, sentences, and words together as long as possible, similar to the `CharacterTextSplitter`. However, it also recursively splits the text into smaller chunks if the chunk size exceeds a specified threshold.
-
-**Params**
-
-- **Documents:** Input documents to split.
-
-- **chunk_overlap:** Determines the number of characters that overlap between consecutive chunks when splitting text. It specifies how much of the previous chunk should be included in the next chunk.
-
-- **chunk_size:** Determines the maximum number of characters in each chunk when splitting a text. It specifies the size or length of each chunk.
-
-- **separators:** The `separators` in RecursiveCharacterTextSplitter are the characters used to split the text into chunks. The text splitter tries to create chunks based on splitting on the first character in the list of `separators`. If any chunks are too large, it moves on to the next character in the list and continues splitting. Defaults to ["\n\n", "\n", " ", ""].
+## RecursiveCharacterTextSplitter
 
-### LanguageRecursiveTextSplitter
+The `RecursiveCharacterTextSplitter` functions similarly to the `CharacterTextSplitter` by trying to keep paragraphs, sentences, and words together. It also recursively splits the text into smaller chunks if the initial chunk size exceeds a specified threshold.
 
-The `LanguageRecursiveTextSplitter` is a text splitter that splits the text into smaller chunks based on the (programming) language of the text.
+**Parameters**
 
-**Params**
+- **Documents:** The input documents to split.
+- **chunk_overlap:** The number of characters that overlap between consecutive chunks.
+- **chunk_size:** The maximum number of characters in each chunk.
+- **separators:** A list of characters used to split the text into chunks. The splitter first tries to split text using the first character in the `separators` list. If any chunk exceeds the maximum size, it proceeds to the next character in the list and continues splitting. The defaults are ["\n\n", "\n", " ", ""].
 
-- **Documents:** Input documents to split.
+## LanguageRecursiveTextSplitter
 
-- **chunk_overlap:** Determines the number of characters that overlap between consecutive chunks when splitting text. It specifies how much of the previous chunk should be included in the next chunk.
+The `LanguageRecursiveTextSplitter` divides text into smaller chunks based on the programming language of the text.
 
-- **chunk_size:** Determines the maximum number of characters in each chunk when splitting a text. It specifies the size or length of each chunk.
+**Parameters**
 
-- **separator_type:** The parameter allows the user to split the code with multiple language support. It supports various languages such as Ruby, Python, Solidity, Java, and more. Defaults to `Python`.
+- **Documents:** The input documents to split.
+- **chunk_overlap:** The number of characters that overlap between consecutive chunks.
+- **chunk_size:** The maximum number of characters in each chunk.
+- **separator_type:** This parameter allows splitting text across multiple programming languages such as Ruby, Python, Solidity, Java, and more. The default is `Python`.
diff --git a/docs/docs/components/toolkits.mdx b/docs/docs/components/toolkits.mdx
index ea6758aeed6..f4b2004ba86 100644
--- a/docs/docs/components/toolkits.mdx
+++ b/docs/docs/components/toolkits.mdx
@@ -1,9 +1,15 @@
-import Admonition from '@theme/Admonition';
+import Admonition from "@theme/Admonition";
 
 # Toolkits
 
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
 <Admonition type="caution" icon="🚧" title="ZONE UNDER CONSTRUCTION">
-    <p>
-        We appreciate your understanding as we polish our documentation – it may contain some rough edges. Share your feedback or report issues to help us improve! 🛠️📝
-    </p>
-</Admonition>
\ No newline at end of file
+  <p>
+    We appreciate your understanding as we polish our documentation - it may
+    contain some rough edges. Share your feedback or report issues to help us
+    improve! 🛠️📝
+  </p>
+</Admonition>
diff --git a/docs/docs/components/tools.mdx b/docs/docs/components/tools.mdx
index 40fb2c5c224..a7daae919be 100644
--- a/docs/docs/components/tools.mdx
+++ b/docs/docs/components/tools.mdx
@@ -1,78 +1,69 @@
-import Admonition from '@theme/Admonition';
+import Admonition from "@theme/Admonition";
 
 # Tools
 
-<Admonition type="caution" icon="🚧" title="ZONE UNDER CONSTRUCTION">
-    <p>
-        We appreciate your understanding as we polish our documentation – it may contain some rough edges. Share your feedback or report issues to help us improve! 🛠️📝
-    </p>
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
 </Admonition>
 
+## SearchApi
 
-### SearchApi
+SearchApi offers a real-time search engine results API that returns structured JSON data, including answer boxes, knowledge graphs, organic results, and more.
 
-Real-time search engine results API. Returns structured JSON data that includes answer box, knowledge graph, organic results, and more.
+### Parameters
 
-**Parameters**
+- **Api Key:** A unique identifier required for authentication with real-time search engines, obtainable through the [SearchApi dashboard](https://www.searchapi.io/).
+- **Engine:** Specifies the search engine used, such as Google, Google Scholar, Bing, YouTube, and YouTube transcripts. Refer to the [documentation](https://www.searchapi.io/docs/google) for a complete list of supported engines.
+- **Parameters:** Allows the selection of various parameters recognized by SearchApi. Some parameters are mandatory while others are optional.
 
-- **Api Key:** A unique identifier for the SearchApi, necessary for authenticating requests to real-time search engines. This key can be retrieved from the [SearchApi dashboard](https://www.searchapi.io/).
-- **Engine:** Specifies the search engine. For instance: google, google_scholar, bing, youtube, and youtube_transcripts. A full list of supported engines is available in the [documentation](https://www.searchapi.io/docs/google).
-- **Parameters:** Allows the selection of any parameters recognized by SearchApi, with some being required and others optional. 
+### Output
 
-**Output**
+- **Document:** The JSON response from the request.
 
-- **Document:** The JSON response from the request as a Document.
+## BingSearchRun
 
+Bing Search, a web search engine by Microsoft, provides search results for various content types like web pages, images, videos, and news articles. It combines algorithms and human editors to deliver these results.
 
-### BingSearchRun
+### Parameters
 
-Bing Search is a web search engine owned and operated by Microsoft. It provides search results for various types of content, including web pages, images, videos, and news articles. It uses a combination of algorithms and human editors to deliver search results to users.
+- **Api Wrapper:** A BingSearchAPIWrapper component that processes the search URL and subscription key.
 
-**Params**
+## Calculator
 
-- **Api Wrapper:** A BingSearchAPIWrapper component that takes the search URL and a subscription key.
+The calculator tool leverages an LLMMathChain to provide mathematical calculation capabilities, enabling the agent to perform computations as needed.
 
+### Parameters
 
-### Calculator
+- **LLM:** The Language Model used for calculations.
 
-The calculator tool provides mathematical calculation capabilities to an agent by leveraging an LLMMathChain. It allows the agent to perform math when needed to answer questions.
+## GoogleSearchResults
 
-**Params**
+This is a wrapper around Google Search tailored for users who need precise control over the JSON data returned from the API.
 
-- **LLM:** Language Model to use in the calculation.
+### Parameters
 
+- **Api Wrapper:** A GoogleSearchAPIWrapper equipped with a Google API key and CSE ID.
 
-### GoogleSearchResults
+## GoogleSearchRun
 
-A wrapper around Google Search. Useful for when the user needs to answer questions about with more control over the JSON data returned from the API. It returns the full JSON response configured based on the parameters passed to the API wrapper.
+This tool acts as a quick wrapper around Google Search, executing the search query and returning the snippet from the most relevant result.
 
-**Params**
+### Parameters
 
-- **Api Wrapper:** A GoogleSearchAPIWrapper with Google API key and CSE ID
+- **Api Wrapper:** A GoogleSearchAPIWrapper equipped with a Google API key and CSE ID.
 
+## GoogleSerperRun
 
-### GoogleSearchRun
+A cost-effective Google Search API.
 
-A quick wrapper around Google Search. It executes the search query and returns just the first result snippet from the highest-priority result type.
+### Parameters
 
-**Params**
+- **Api Wrapper:** A GoogleSerperAPIWrapper with the required API key and result keys.
 
-- **Api Wrapper:** A GoogleSearchAPIWrapper with Google API key and CSE ID
+## InfoSQLDatabaseTool
 
+This tool retrieves metadata about SQL databases. It takes a comma-separated list of table names as input and outputs the schema and sample rows for those tables.
 
-### GoogleSerperRun
+### Parameters
 
-A low-cost Google Search API.
-
-**Params**
-
-- **Api Wrapper:** A GoogleSerperAPIWrapper component with API key and result keys
-
-
-### InfoSQLDatabaseTool
-
-Tool for getting metadata about a SQL database. The input to this tool is a comma-separated list of tables, and the output is the schema and sample rows for those tables. Example Input: `“table1`, `table2`, `table3”`.
-
-**Params**
-
-- **Db:** SQLDatabase to query.
+- **Db:** The SQL database to query.
diff --git a/docs/docs/components/utilities.mdx b/docs/docs/components/utilities.mdx
index 59386421337..e0e95aa78da 100644
--- a/docs/docs/components/utilities.mdx
+++ b/docs/docs/components/utilities.mdx
@@ -2,75 +2,93 @@ import Admonition from "@theme/Admonition";
 
 # Utilities
 
-<Admonition type="caution" icon="🚧" title="ZONE UNDER CONSTRUCTION">
-  <p>
-    We appreciate your understanding as we polish our documentation – it may
-    contain some rough edges. Share your feedback or report issues to help us
-    improve! 🛠️📝
-  </p>
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
 </Admonition>
 
 Utilities are a set of actions that can be used to perform common tasks in a flow. They are available in the **Utilities** section in the sidebar.
 
 ---
 
-### GET Request
+## GET request
 
-Make a GET request to the given URL.
+Make a GET request to the specified URL.
 
-**Params**
+**Parameters**
 
-- **URL:** The URL to make the request to. There can be more than one URL, in which case the request will be made to each URL in order.
+- **URL:** The URL to make the request to. If there are multiple URLs, the request will be made to each URL in order.
 - **Headers:** A dictionary of headers to send with the request.
 
 **Output**
 
-- **List of Documents:** A list of Documents containing the JSON response from each request.
+- **List of documents:** A list of documents containing the JSON response from each request.
 
 ---
 
-### POST Request
+## POST request
 
-Make a POST request to the given URL.
+Make a POST request to the specified URL.
 
-**Params**
+**Parameters**
 
 - **URL:** The URL to make the request to.
 - **Headers:** A dictionary of headers to send with the request.
-- **Document:** The Document containing a JSON object to send with the request.
+- **Document:** The document containing a JSON object to send with the request.
 
 **Output**
 
-- **Document:** The JSON response from the request as a Document.
+- **Document:** The JSON response from the request as a document.
 
 ---
 
-### Update Request
+## Update request
 
-Make a PATCH or PUT request to the given URL.
+Make a PATCH or PUT request to the specified URL.
 
-**Params**
+**Parameters**
 
 - **URL:** The URL to make the request to.
 - **Headers:** A dictionary of headers to send with the request.
-- **Document:** The Document containing a JSON object to send with the request.
-- **Method:** The HTTP method to use for the request. Can be either `PATCH` or `PUT`.
+- **Document:** The document containing a JSON object to send with the request.
+- **Method:** The HTTP method to use for the request, either `PATCH` or `PUT`.
 
 **Output**
 
-- **Document:** The JSON response from the request as a Document.
+- **Document:** The JSON response from the request as a document.
 
 ---
 
-### JSON Document Builder
+## JSON document builder
 
-Build a Document containing a JSON object using a key and another Document page content.
+Build a document containing a JSON object using a key and another document page content.
 
-**Params**
+**Parameters**
 
 - **Key:** The key to use for the JSON object.
-- **Document:** The Document page to use for the JSON object.
+- **Document:** The document page to use for the JSON object.
 
 **Output**
 
-- **List of Documents:** A list containing the Document with the JSON object.
+- **List of documents:** A list containing the document with the JSON object.
+
+## Unique ID generator
+
+Generates a unique identifier (UUID) for each instance it is invoked, providing a distinct and reliable identifier suitable for a variety of applications.
+
+**Parameters**
+
+- **Value:** This field displays the generated unique identifier (UUID). The UUID is dynamically generated for each instance of the component, ensuring uniqueness across different uses.
+
+**Output**
+
+- Returns a unique identifier (UUID) as a string. This UUID is generated using Python's `uuid` module, ensuring that each identifier is unique and can be used as a reliable reference in your application.
+
+<Admonition type="note" title="Note">
+  The Unique ID Generator is crucial for scenarios requiring distinct
+  identifiers, such as session management, transaction tracking, or any context
+  where different instances or entities must be uniquely identified. The
+  generated UUID is provided as a hexadecimal string, offering a high level of
+  uniqueness and security for identification purposes.
+</Admonition>
+
+For additional information and examples, please consult the [Langflow Components Custom Documentation](http://docs.langflow.org/components/custom).
diff --git a/docs/docs/components/vector-stores.mdx b/docs/docs/components/vector-stores.mdx
index 133984cda8d..cf4dc166832 100644
--- a/docs/docs/components/vector-stores.mdx
+++ b/docs/docs/components/vector-stores.mdx
@@ -1,9 +1,458 @@
-import Admonition from '@theme/Admonition';
+import Admonition from "@theme/Admonition";
 
 # Vector Stores
 
-<Admonition type="caution" icon="🚧" title="ZONE UNDER CONSTRUCTION">
-    <p>
-        We appreciate your understanding as we polish our documentation – it may contain some rough edges. Share your feedback or report issues to help us improve! 🛠️📝
-    </p>
-</Admonition>
\ No newline at end of file
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+### Astra DB
+
+The `Astra DB` initializes a vector store using Astra DB from Data. It creates Astra DB-based vector indexes to efficiently store and retrieve documents.
+
+**Parameters:**
+
+- **Input:** Documents or Data for input.
+- **Embedding or Astra vectorize:** External or server-side model Astra DB uses.
+- **Collection Name:** Name of the Astra DB collection.
+- **Token:** Authentication token for Astra DB.
+- **API Endpoint:** API endpoint for Astra DB.
+- **Namespace:** Astra DB namespace.
+- **Metric:** Metric used by Astra DB.
+- **Batch Size:** Batch size for operations.
+- **Bulk Insert Batch Concurrency:** Concurrency level for bulk inserts.
+- **Bulk Insert Overwrite Concurrency:** Concurrency level for overwriting during bulk inserts.
+- **Bulk Delete Concurrency:** Concurrency level for bulk deletions.
+- **Setup Mode:** Setup mode for the vector store.
+- **Pre Delete Collection:** Option to delete the collection before setup.
+- **Metadata Indexing Include:** Fields to include in metadata indexing.
+- **Metadata Indexing Exclude:** Fields to exclude from metadata indexing.
+- **Collection Indexing Policy:** Indexing policy for the collection.
+
+<Admonition type="note" title="Note">
+  Ensure you configure the necessary Astra DB token and API endpoint before
+  starting.
+</Admonition>
+
+---
+
+### Astra DB Search
+
+`Astra DBSearch` searches an existing Astra DB vector store for documents similar to the input. It uses the `Astra DB` component's functionality for efficient retrieval.
+
+**Parameters:**
+
+- **Search Type:** Type of search, such as Similarity or MMR.
+- **Input Value:** Value to search for.
+- **Embedding or Astra vectorize:** External or server-side model Astra DB uses.
+- **Collection Name:** Name of the Astra DB collection.
+- **Token:** Authentication token for Astra DB.
+- **API Endpoint:** API endpoint for Astra DB.
+- **Namespace:** Astra DB namespace.
+- **Metric:** Metric used by Astra DB.
+- **Batch Size:** Batch size for operations.
+- **Bulk Insert Batch Concurrency:** Concurrency level for bulk inserts.
+- **Bulk Insert Overwrite Concurrency:** Concurrency level for overwriting during bulk inserts.
+- **Bulk Delete Concurrency:** Concurrency level for bulk deletions.
+- **Setup Mode:** Setup mode for the vector store.
+- **Pre Delete Collection:** Option to delete the collection before setup.
+- **Metadata Indexing Include:** Fields to include in metadata indexing.
+- **Metadata Indexing Exclude:** Fields to exclude from metadata indexing.
+- **Collection Indexing Policy:** Indexing policy for the collection.
+
+---
+
+### Chroma
+
+`Chroma` sets up a vector store using Chroma for efficient vector storage and retrieval within language processing workflows.
+
+**Parameters:**
+
+- **Collection Name:** Name of the collection.
+- **Persist Directory:** Directory to persist the Vector Store.
+- **Server CORS Allow Origins (Optional):** CORS allow origins for the Chroma server.
+- **Server Host (Optional):** Host for the Chroma server.
+- **Server Port (Optional):** Port for the Chroma server.
+- **Server gRPC Port (Optional):** gRPC port for the Chroma server.
+- **Server SSL Enabled (Optional):** SSL configuration for the Chroma server.
+- **Input:** Input data for creating the Vector Store.
+- **Embedding:** Embeddings used for the Vector Store.
+
+For detailed documentation and integration guides, please refer to the [Chroma Component Documentation](https://python.langchain.com/docs/integrations/vectorstores/chroma).
+
+---
+
+### Chroma Search
+
+`ChromaSearch` searches a Chroma collection for documents similar to the input text. It leverages Chroma to ensure efficient document retrieval.
+
+**Parameters:**
+
+- **Input:** Input text for search.
+- **Search Type:** Type of search, such as Similarity or MMR.
+- **Collection Name:** Name of the Chroma collection.
+- **Index Directory:** Directory where the Chroma index is stored.
+- **Embedding:** Embedding model used for vectorization.
+- **Server CORS Allow Origins (Optional):** CORS allow origins for the Chroma server.
+- **Server Host (Optional):** Host for the Chroma server.
+- **Server Port (Optional):** Port for the Chroma server.
+- **Server gRPC Port (Optional):** gRPC port for the Chroma server.
+- **Server SSL Enabled (Optional):** SSL configuration for the Chroma server.
+
+---
+
+### Couchbase
+
+`Couchbase` builds a Couchbase vector store from Data, streamlining the storage and retrieval of documents.
+
+**Parameters:**
+
+- **Embedding:** Model used by Couchbase.
+- **Input:** Documents or Data.
+- **Couchbase Cluster Connection String:** Cluster Connection string.
+- **Couchbase Cluster Username:** Cluster Username.
+- **Couchbase Cluster Password:** Cluster Password.
+- **Bucket Name:** Bucket identifier in Couchbase.
+- **Scope Name:** Scope identifier in Couchbase.
+- **Collection Name:** Collection identifier in Couchbase.
+- **Index Name:** Index identifier.
+
+For detailed documentation and integration guides, please refer to the [Couchbase Component Documentation](https://python.langchain.com/docs/integrations/vectorstores/couchbase).
+
+---
+
+### Couchbase Search
+
+`CouchbaseSearch` leverages the Couchbase component to search for documents based on similarity metric.
+
+**Parameters:**
+
+- **Input:** Search query.
+- **Embedding:** Model used in the Vector Store.
+- **Couchbase Cluster Connection String:** Cluster Connection string.
+- **Couchbase Cluster Username:** Cluster Username.
+- **Couchbase Cluster Password:** Cluster Password.
+- **Bucket Name:** Bucket identifier.
+- **Scope Name:** Scope identifier.
+- **Collection Name:** Collection identifier in Couchbase.
+- **Index Name:** Index identifier.
+
+---
+
+### FAISS
+
+The `FAISS` component manages document ingestion into a FAISS Vector Store, optimizing document indexing and retrieval.
+
+**Parameters:**
+
+- **Embedding:** Model used for vectorizing inputs.
+- **Input:** Documents to ingest.
+- **Folder Path:** Save path for the FAISS index, relative to Langflow.
+- **Index Name:** Index identifier.
+
+For more details, see the [FAISS Component Documentation](https://faiss.ai/index.html).
+
+---
+
+### FAISS Search
+
+`FAISSSearch` searches a FAISS Vector Store for documents similar to a given input, using similarity metrics for efficient retrieval.
+
+**Parameters:**
+
+- **Embedding:** Model used in the FAISS Vector Store.
+- **Folder Path:** Path to load the FAISS index from, relative to Langflow.
+- **Input:** Search query.
+- **Index Name:** Index identifier.
+
+---
+
+### MongoDB Atlas
+
+`MongoDBAtlas` builds a MongoDB Atlas-based vector store from Data, streamlining the storage and retrieval of documents.
+
+**Parameters:**
+
+- **Embedding:** Model used by MongoDB Atlas.
+- **Input:** Documents or Data.
+- **Collection Name:** Collection identifier in MongoDB Atlas.
+- **Database Name:** Database identifier.
+- **Index Name:** Index identifier.
+- **MongoDB Atlas Cluster URI:** Cluster URI.
+- **Search Kwargs:** Additional search parameters.
+
+<Admonition type="note" title="Note">
+  Ensure pymongo is installed for using MongoDB Atlas Vector Store.
+</Admonition>
+
+---
+
+### MongoDB Atlas Search
+
+`MongoDBAtlasSearch` leverages the MongoDBAtlas component to search for documents based on similarity metrics.
+
+**Parameters:**
+
+- **Search Type:** Type of search, such as "Similarity" or "MMR".
+- **Input:** Search query.
+- **Embedding:** Model used in the Vector Store.
+- **Collection Name:** Collection identifier.
+- **Database Name:** Database identifier.
+- **Index Name:** Index identifier.
+- **MongoDB Atlas Cluster URI:** Cluster URI.
+- **Search Kwargs:** Additional search parameters.
+
+---
+
+### PGVector
+
+`PGVector` integrates a Vector Store within a PostgreSQL database, allowing efficient storage and retrieval of vectors.
+
+**Parameters:**
+
+- **Input:** Value for the Vector Store.
+- **Embedding:** Model used.
+- **PostgreSQL Server Connection String:** Server URL.
+- **Table:** Table name in the PostgreSQL database.
+
+For more details, see the [PGVector Component Documentation](https://python.langchain.com/docs/integrations/vectorstores/pgvector).
+
+<Admonition type="note" title="Note">
+  Ensure the PostgreSQL server is accessible and configured correctly.
+</Admonition>
+
+---
+
+### PGVector Search
+
+`PGVectorSearch` extends `PGVector` to search for documents based on similarity metrics.
+
+**Parameters:**
+
+- **Input:** Search query.
+- **Embedding:** Model used.
+- **PostgreSQL Server Connection String:** Server URL.
+- **Table:** Table name.
+- **Search Type:** Type of search, such as "Similarity" or "MMR".
+
+---
+
+### Pinecone
+
+`Pinecone` constructs a Pinecone wrapper from Data, setting up Pinecone-based vector indexes for document storage and retrieval.
+
+**Parameters:**
+
+- **Input:** Documents or Data.
+- **Embedding:** Model used.
+- **Index Name:** Index identifier.
+- **Namespace:** Namespace used.
+- **Pinecone API Key:** API key.
+- **Pinecone Environment:** Environment settings.
+- **Search Kwargs:** Additional search parameters.
+- **Pool Threads:** Number of threads.
+
+<Admonition type="note" title="Note">
+  Ensure the Pinecone API key and environment are correctly configured.
+</Admonition>
+
+---
+
+### Pinecone Search
+
+`PineconeSearch` searches a Pinecone Vector Store for documents similar to the input, using advanced similarity metrics.
+
+**Parameters:**
+
+- **Search Type:** Type of search, such as "Similarity" or "MMR".
+- **Input Value:** Search query.
+- **Embedding:** Model used.
+- **Index Name:** Index identifier.
+- **Namespace:** Namespace used.
+- **Pinecone API Key:** API key.
+- **Pinecone Environment:** Environment settings.
+- **Search Kwargs:** Additional search parameters.
+- **Pool Threads:** Number of threads.
+
+---
+
+### Qdrant
+
+`Qdrant` allows efficient similarity searches and retrieval operations, using a list of texts to construct a Qdrant wrapper.
+
+**Parameters:**
+
+- **Input:** Documents or Data.
+- **Embedding:** Model used.
+- **API Key:** Qdrant API key.
+- **Collection Name:** Collection identifier.
+- **Advanced Settings:** Includes content payload key, distance function, gRPC port, host, HTTPS, location, metadata payload key, path, port, prefer gRPC, prefix, search kwargs, timeout, URL.
+
+---
+
+### Qdrant Search
+
+`QdrantSearch` extends `Qdrant` to search for documents similar to the input based on advanced similarity metrics.
+
+**Parameters:**
+
+- **Search Type:** Type of search, such as "Similarity" or "MMR".
+- **Input Value:** Search query.
+- **Embedding:** Model used.
+- **API Key:** Qdrant API key.
+- **Collection Name:** Collection identifier.
+- **Advanced Settings:** Includes content payload key, distance function, gRPC port, host, HTTPS, location, metadata payload key, path, port, prefer gRPC, prefix, search kwargs, timeout, URL.
+
+---
+
+### Redis
+
+`Redis` manages a Vector Store in a Redis database, supporting efficient vector storage and retrieval.
+
+**Parameters:**
+
+- **Index Name:** Default index name.
+- **Input:** Data for building the Redis Vector Store.
+- **Embedding:** Model used.
+- **Schema:** Optional schema file (.yaml) for document structure.
+- **Redis Server Connection String:** Server URL.
+- **Redis Index:** Optional index name.
+
+For detailed documentation, refer to the [Redis Documentation](https://python.langchain.com/docs/integrations/vectorstores/redis).
+
+<Admonition type="note" title="Note">
+  Ensure the Redis server URL and index name are configured correctly. Provide a
+  schema if no documents are available.
+</Admonition>
+
+---
+
+### Redis Search
+
+`RedisSearch` searches a Redis Vector Store for documents similar to the input.
+
+**Parameters:**
+
+- **Search Type:** Type of search, such as "Similarity" or "MMR".
+- **Input Value:** Search query.
+- **Index Name:** Default index name.
+- **Embedding:** Model used.
+- **Schema:** Optional schema file (.yaml) for document structure.
+- **Redis Server Connection String:** Server URL.
+- **Redis Index:** Optional index name.
+
+---
+
+### Supabase
+
+`Supabase` initializes a Supabase Vector Store from texts and embeddings, setting up an environment for efficient document retrieval.
+
+**Parameters:**
+
+- **Input:** Documents or data.
+- **Embedding:** Model used.
+- **Query Name:** Optional query name.
+- **Search Kwargs:** Advanced search parameters.
+- **Supabase Service Key:** Service key.
+- **Supabase URL:** Instance URL.
+- **Table Name:** Optional table name.
+
+<Admonition type="note" title="Note">
+  Ensure the Supabase service key, URL, and table name are properly configured.
+</Admonition>
+
+---
+
+### Supabase Search
+
+`SupabaseSearch` searches a Supabase Vector Store for documents similar to the input.
+
+**Parameters:**
+
+- **Search Type:** Type of search, such as "Similarity" or "MMR".
+- **Input Value:** Search query.
+- **Embedding:** Model used.
+- **Query Name:** Optional query name.
+- **Search Kwargs:** Advanced search parameters.
+- **Supabase Service Key:** Service key.
+- **Supabase URL:** Instance URL.
+- **Table Name:** Optional table name.
+
+---
+
+### Vectara
+
+`Vectara` sets up a Vectara Vector Store from files or upserted data, optimizing document retrieval.
+
+**Parameters:**
+
+- **Vectara Customer ID:** Customer ID.
+- **Vectara Corpus ID:** Corpus ID.
+- **Vectara API Key:** API key.
+- **Files Url:** Optional URLs for file initialization.
+- **Input:** Optional data for corpus upsert.
+
+For more information, consult the [Vectara Component Documentation](https://python.langchain.com/docs/integrations/vectorstores/vectara).
+
+<Admonition type="note" title="Note">
+  If inputs or files_url are provided, they will be processed accordingly.
+</Admonition>
+
+---
+
+### Vectara Search
+
+`VectaraSearch` searches a Vectara Vector Store for documents based on the provided input.
+
+**Parameters:**
+
+- **Search Type:** Type of search, such as "Similarity" or "MMR".
+- **Input Value:** Search query.
+- **Vectara Customer ID:** Customer ID.
+- **Vectara Corpus ID:** Corpus ID.
+- **Vectara API Key:** API key.
+- **Files Url:** Optional URLs for file initialization.
+
+---
+
+### Weaviate
+
+`Weaviate` facilitates a Weaviate Vector Store setup, optimizing text and document indexing and retrieval.
+
+**Parameters:**
+
+- **Weaviate URL:** Default instance URL.
+- **Search By Text:** Indicates whether to search by text.
+- **API Key:** Optional API key for authentication.
+- **Index Name:** Optional index name.
+- **Text Key:** Default text extraction key.
+- **Input:** Document or record.
+- **Embedding:** Model used.
+- **Attributes:** Optional additional attributes.
+
+For more details, see the [Weaviate Component Documentation](https://python.langchain.com/docs/integrations/vectorstores/weaviate).
+
+<Admonition type="note" title="Note">
+  Ensure Weaviate instance is running and accessible. Verify API key, index
+  name, text key, and attributes are set correctly.
+</Admonition>
+
+---
+
+### Weaviate Search
+
+`WeaviateSearch` searches a Weaviate Vector Store for documents similar to the input.
+
+**Parameters:**
+
+- **Search Type:** Type of search, such as "Similarity" or "MMR".
+- **Input Value:** Search query.
+- **Weaviate URL:** Default instance URL.
+- **Search By Text:** Indicates whether to search by text.
+- **API Key:** Optional API key for authentication.
+- **Index Name:** Optional index name.
+- **Text Key:** Default text extraction key.
+- **Embedding:** Model used.
+- **Attributes:** Optional additional attributes.
+
+---
diff --git a/docs/docs/components/wrappers.mdx b/docs/docs/components/wrappers.mdx
deleted file mode 100644
index 4b1251b6087..00000000000
--- a/docs/docs/components/wrappers.mdx
+++ /dev/null
@@ -1,20 +0,0 @@
-import Admonition from '@theme/Admonition';
-
-# Wrappers
-
-<Admonition type="caution" icon="🚧" title="ZONE UNDER CONSTRUCTION">
-    <p>
-        We appreciate your understanding as we polish our documentation – it may contain some rough edges. Share your feedback or report issues to help us improve! 🛠️📝
-    </p>
-</Admonition>
-
-
-### TextRequestsWrapper
-
-This component is designed to work with the Python Requests module, which is a popular tool for making web requests. Used to fetch data from a particular website.
-
-**Params**
-
-- **header:** specifies the headers to be included in the HTTP request. Defaults to `{'Authorization': 'Bearer <token>'}`.
-
-    Headers are key-value pairs that provide additional information about the request or the client making the request. They can be used to send authentication credentials, specify the content type of the request, set cookies, and more. They allow the client and the server to communicate additional information beyond the basic request. 
\ No newline at end of file
diff --git a/docs/docs/contributing/community.md b/docs/docs/contributing/community.md
deleted file mode 100644
index 6bb62641d10..00000000000
--- a/docs/docs/contributing/community.md
+++ /dev/null
@@ -1,38 +0,0 @@
-# Community
-
-## 🤖 Join **Langflow** Discord server
-
- Join us to ask questions and showcase your projects.
-
- Let's bring together the building blocks of AI integration!
-
- Langflow [Discord](https://discord.gg/EqksyE2EX9) server.
-
----
-
-## 🐦 Stay tunned for **Langflow** on Twitter
-
-Follow [@langflow_ai](https://twitter.com/langflow_ai) on **Twitter** to get the latest news about **Langflow**.
-
----
-## ⭐️ Star **Langflow** on GitHub
-
-You can "star" **Langflow** in [GitHub](https://github.com/logspace-ai/langflow).
-
-By adding a star, other users will be able to find it more easily and see that it has been already useful for others.
-
----
-
-## 👀 Watch the GitHub repository for releases
-
-You can "watch" **Langflow** in [GitHub](https://github.com/logspace-ai/langflow).
-
-
-If you select "Watching" instead of "Releases only" you will receive notifications when someone creates a new issue or question. You can also specify that you only want to be notified about new issues, discussions, PRs, etc.
-
-
-Then you can try and help them solve those questions.
-
----
-
-Thanks! 🚀
\ No newline at end of file
diff --git a/docs/docs/contributing/community.mdx b/docs/docs/contributing/community.mdx
new file mode 100644
index 00000000000..964abf27773
--- /dev/null
+++ b/docs/docs/contributing/community.mdx
@@ -0,0 +1,43 @@
+import Admonition from "@theme/Admonition";
+
+# Community
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+## 🤖 Join **Langflow** Discord server
+
+Join us to ask questions and showcase your projects.
+
+Let's bring together the building blocks of AI integration!
+
+Langflow [Discord](https://discord.gg/EqksyE2EX9) server.
+
+---
+
+## 🐦 Stay tuned for **Langflow** on Twitter
+
+Follow [@langflow_ai](https://twitter.com/langflow_ai) on **Twitter** to get the latest news about **Langflow**.
+
+---
+
+## ⭐️ Star **Langflow** on GitHub
+
+You can "star" **Langflow** in [GitHub](https://github.com/langflow-ai/langflow).
+
+By adding a star, other users will be able to find it more easily and see that it has been already useful for others.
+
+---
+
+## 👀 Watch the GitHub repository for releases
+
+You can "watch" **Langflow** in [GitHub](https://github.com/langflow-ai/langflow).
+
+If you select "Watching" instead of "Releases only" you will receive notifications when someone creates a new issue or question. You can also specify that you only want to be notified about new issues, discussions, PRs, etc.
+
+Then you can try and help them solve those questions.
+
+---
+
+Thanks! 🚀
diff --git a/docs/docs/contributing/contribute-component.mdx b/docs/docs/contributing/contribute-component.mdx
new file mode 100644
index 00000000000..4ad8072f3e1
--- /dev/null
+++ b/docs/docs/contributing/contribute-component.mdx
@@ -0,0 +1,50 @@
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+import Admonition from "@theme/Admonition";
+
+# How to Contribute Components?
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+New components are added as objects of the [CustomComponent](https://github.com/langflow-ai/langflow/blob/dev/src/backend/base/langflow/interface/custom/custom_component/custom_component.py) class and any dependencies are added to the [pyproject.toml](https://github.com/langflow-ai/langflow/blob/dev/pyproject.toml#L27) file.
+
+## Add an example component
+
+You have a new document loader called **MyCustomDocumentLoader** and it would look awesome in Langflow.
+
+1. Write your loader as an object of the [CustomComponent](https://github.com/langflow-ai/langflow/blob/dev/src/backend/base/langflow/interface/custom/custom_component/custom_component.py) class. You'll create a new class, `MyCustomDocumentLoader`, that will inherit from `CustomComponent` and override the base class's methods.
+2. Define optional attributes like `display_name`, `description`, and `documentation` to provide information about your custom component.
+3. Implement the `build_config` method to define the configuration options for your custom component.
+4. Implement the `build` method to define the logic for taking input parameters specified in the `build_config` method and returning the desired output.
+5. Add the code to the [/components/documentloaders](https://github.com/langflow-ai/langflow/tree/dev/src/backend/base/langflow/components) folder.
+6. Add the dependency to [/documentloaders/\_\_init\_\_.py](https://github.com/langflow-ai/langflow/blob/dev/src/backend/base/langflow/components/documentloaders/__init__.py) as `from .MyCustomDocumentLoader import MyCustomDocumentLoader`.
+7. Add any new dependencies to the outer [pyproject.toml](https://github.com/langflow-ai/langflow/blob/dev/pyproject.toml#L27) file.
+8. Submit documentation for your component. For this example, you'd submit documentation to the [loaders page](https://github.com/langflow-ai/langflow/blob/dev/docs/docs/components/loaders).
+9. Submit your changes as a pull request. The Langflow team will have a look, suggest changes, and add your component to Langflow.
+
+## User Sharing
+
+You might want to share and test your custom component with others, but don't need it merged into the main source code.
+
+If so, you can share your component on the Langflow store.
+
+1. [Register at the Langflow store](https://www.langflow.store/login/).
+2. Undergo pre-validation before receiving an API key.
+3. To deploy your amazing component directly to the Langflow store, without it being merged into the main source code, navigate to your flow, and then click **Share**.
+   The share window appears:
+
+<ZoomableImage
+alt="Docusaurus themed image"
+sources={{
+    light: "img/add-component-to-store.png",
+    dark: "img/add-component-to-store.png",
+  }}
+style={{ width: "50%", margin: "20px auto" }}
+/>
+
+5. Choose whether you want to flow to be public or private.
+   You can also **Export** your flow as a JSON file from this window.
+   When you're ready to share the flow, click **Share Flow**.
+   You should see a **Flow shared successfully** popup.
+6. To confirm, navigate to the **Langflow Store** and filter results by **Created By Me**. You should see your new flow on the **Langflow Store**.
diff --git a/docs/docs/contributing/github-issues.md b/docs/docs/contributing/github-issues.md
deleted file mode 100644
index 41cc674e1cd..00000000000
--- a/docs/docs/contributing/github-issues.md
+++ /dev/null
@@ -1,27 +0,0 @@
-# GitHub Issues
-
-Our [issues](https://github.com/logspace-ai/langflow/issues) page is kept up to date
-with bugs, improvements, and feature requests. There is a taxonomy of labels to help
-with sorting and discovery of issues of interest.
-
-If you're looking for help with your code, consider posting a question on the
-[GitHub Discussions board](https://github.com/logspace-ai/langflow/discussions). Please
-understand that we won't be able to provide individual support via email. We
-also believe that help is much more valuable if it's **shared publicly**,
-so that more people can benefit from it.
-
-- **Describing your issue:** Try to provide as many details as possible. What
-  exactly goes wrong? _How_ is it failing? Is there an error?
-  "XY doesn't work" usually isn't that helpful for tracking down problems. Always
-  remember to include the code you ran and if possible, extract only the relevant
-  parts and don't just dump your entire script. This will make it easier for us to
-  reproduce the error.
-
-- **Sharing long blocks of code or logs:** If you need to include long code,
-  logs or tracebacks, you can wrap them in `<details>` and `</details>`. This
-  [collapses the content](https://developer.mozilla.org/en/docs/Web/HTML/Element/details) so it only becomes visible on click, making the issue easier to read and follow.
-
-
-## Issue labels
-
-[See this page](https://github.com/logspace-ai/langflow/labels) for an overview of the system we use to tag our issues and pull requests.
\ No newline at end of file
diff --git a/docs/docs/contributing/github-issues.mdx b/docs/docs/contributing/github-issues.mdx
new file mode 100644
index 00000000000..84d049849c3
--- /dev/null
+++ b/docs/docs/contributing/github-issues.mdx
@@ -0,0 +1,32 @@
+import Admonition from "@theme/Admonition";
+
+# GitHub Issues
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+Our [issues](https://github.com/langflow-ai/langflow/issues) page is kept up to date
+with bugs, improvements, and feature requests. There is a taxonomy of labels to help
+with sorting and discovery of issues of interest.
+
+If you're looking for help with your code, consider posting a question on the
+[GitHub Discussions board](https://github.com/langflow-ai/langflow/discussions). Please
+understand that we won't be able to provide individual support via email. We
+also believe that help is much more valuable if it's **shared publicly**,
+so that more people can benefit from it.
+
+- **Describing your issue:** Try to provide as many details as possible. What
+  exactly goes wrong? _How_ is it failing? Is there an error?
+  "XY doesn't work" usually isn't that helpful for tracking down problems. Always
+  remember to include the code you ran and if possible, extract only the relevant
+  parts and don't just dump your entire script. This will make it easier for us to
+  reproduce the error.
+
+- **Sharing long blocks of code or logs:** If you need to include long code,
+  logs or tracebacks, you can wrap them in `<details>` and `</details>`. This
+  [collapses the content](https://developer.mozilla.org/en/docs/Web/HTML/Element/details) so it only becomes visible on click, making the issue easier to read and follow.
+
+## Issue labels
+
+[See this page](https://github.com/langflow-ai/langflow/labels) for an overview of the system we use to tag our issues and pull requests.
diff --git a/docs/docs/contributing/how-contribute.md b/docs/docs/contributing/how-contribute.md
deleted file mode 100644
index 53b43049625..00000000000
--- a/docs/docs/contributing/how-contribute.md
+++ /dev/null
@@ -1,77 +0,0 @@
-# How to contribute?
-
-👋 Hello there! We welcome contributions from developers of all levels to our open-source project on [GitHub](https://github.com/logspace-ai/langflow). If you'd like to contribute, please check our contributing guidelines and help make Langflow more accessible.
-
-As an open-source project in a rapidly developing field, we are extremely open
-to contributions, whether in the form of a new feature, improved infra, or better documentation.
-
-To contribute to this project, please follow a ["fork and pull request"](https://docs.github.com/en/get-started/quickstart/contributing-to-projects) workflow.
-
-Please do not try to push directly to this repo unless you are a maintainer.
-
----
-## Local development
-
-You can develop Langflow using docker compose, or locally.
-
-We provide a .vscode/launch.json file for debugging the backend in VSCode, which is a lot faster than using docker compose.
-
-Setting up hooks:
-```bash
-make init
-```
-
-This will install the pre-commit hooks, which will run `make format` on every commit.
-
-It is advised to run `make lint` before pushing to the repository.
-
----
-
-## Run locally
-
-Langflow can run locally by cloning the repository and installing the dependencies. We recommend using a virtual environment to isolate the dependencies from your system.
-
-Before you start, make sure you have the following installed:
-
-- Poetry (>=1.4)
-- Node.js
-
-Then, in the root folder, install the dependencies and start the development server for the backend:
-
-```bash
-make backend
-```
-
-And the frontend:
-
-```bash
-make frontend
-```
-
-
----
-
-## Docker compose
-
-The following snippet will run the backend and frontend in separate containers. The frontend will be available at `localhost:3000` and the backend at `localhost:7860`.
-
-```bash
-docker compose up --build
-# or
-make dev build=1
-```
-
----
-
-## Documentation
-
-The documentation is built using [Docusaurus](https://docusaurus.io/). To run the documentation locally, run the following commands:
-
-```bash
-cd docs
-npm install
-npm run start
-```
-
-The documentation will be available at `localhost:3000` and all the files are located in the `docs/docs` folder.
-Once you are done with your changes, you can create a Pull Request to the `main` branch.
diff --git a/docs/docs/contributing/how-contribute.mdx b/docs/docs/contributing/how-contribute.mdx
new file mode 100644
index 00000000000..6776be0b134
--- /dev/null
+++ b/docs/docs/contributing/how-contribute.mdx
@@ -0,0 +1,84 @@
+import Admonition from "@theme/Admonition";
+
+# How to Contribute?
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+👋 Hello there! We welcome contributions from developers of all levels to our open-source project on [GitHub](https://github.com/langflow-ai/langflow). If you'd like to contribute, please check our contributing guidelines and help make Langflow more accessible.
+
+As an open-source project in a rapidly developing field, we are extremely open
+to contributions, whether in the form of a new feature, improved infra, or better documentation.
+
+To contribute to this project, please follow a ["fork and pull request"](https://docs.github.com/en/get-started/quickstart/contributing-to-projects) workflow.
+
+Please do not try to push directly to this repo unless you are a maintainer.
+
+---
+
+## Local development
+
+You can develop Langflow using docker compose, or locally.
+
+We provide a `.vscode/launch.json` file for debugging the backend in VSCode, which is a lot faster than using docker compose.
+
+Setting up hooks:
+
+```bash
+make init
+```
+
+This will install the pre-commit hooks, which will run `make format` on every commit.
+
+It is advised to run `make lint` before pushing to the repository.
+
+---
+
+## Run locally
+
+Langflow can run locally by cloning the repository and installing the dependencies. We recommend using a virtual environment to isolate the dependencies from your system.
+
+Before you start, make sure you have the following installed:
+
+- Poetry (>=1.4)
+- Node.js
+
+Then, in the root folder, install the dependencies and start the development server for the backend:
+
+```bash
+make backend
+```
+
+And the frontend:
+
+```bash
+make frontend
+```
+
+---
+
+## Docker compose
+
+The following snippet will run the backend and frontend in separate containers. The frontend will be available at `localhost:3000` and the backend at `localhost:7860`.
+
+```bash
+docker compose up --build
+# or
+make dev build=1
+```
+
+---
+
+## Documentation
+
+The documentation is built using [Docusaurus](https://docusaurus.io/). To run the documentation locally, run the following commands:
+
+```bash
+cd docs
+npm install
+npm run start
+```
+
+The documentation will be available at `localhost:3000` and all the files are located in the `docs/docs` folder.
+Once you are done with your changes, you can create a Pull Request to the `main` branch.
diff --git a/docs/docs/contributing/telemetry.mdx b/docs/docs/contributing/telemetry.mdx
new file mode 100644
index 00000000000..a0bdb5d2df3
--- /dev/null
+++ b/docs/docs/contributing/telemetry.mdx
@@ -0,0 +1,51 @@
+import Admonition from "@theme/Admonition";
+
+# Telemetry
+
+Our system uses anonymous telemetry to collect essential usage statistics to enhance functionality and user experience. This data helps us identify commonly used features and areas needing improvement, ensuring our development efforts align with what you need.
+
+<Admonition type="info">
+We respect your privacy and are committed to protecting your data. We do not collect any personal information or sensitive data. All telemetry data is anonymized and used solely for improving Langflow.
+
+You can opt-out of telemetry by setting the `LANGFLOW_DO_NOT_TRACK` or `DO_NOT_TRACK` environment variable to `true` before running Langflow. This will disable telemetry data collection.
+
+</Admonition>
+
+## Data Collected Includes:
+
+### Run
+
+- **IsWebhook**: Indicates whether the operation was triggered via a webhook.
+- **Seconds**: Duration in seconds for how long the operation lasted, providing insights into performance.
+- **Success**: Boolean value indicating whether the operation was successful, helping identify potential errors or issues.
+- **ErrorMessage**: Provides error message details if the operation was unsuccessful, aiding in troubleshooting and enhancements.
+
+### Shutdown
+
+- **Time Running**: Total runtime before shutdown, useful for understanding application lifecycle and optimizing uptime.
+
+### Version
+
+- **Version**: The specific version of Langflow used, which helps in tracking feature adoption and compatibility.
+- **Platform**: Operating system of the host machine, which aids in focusing our support for popular platforms like Windows, macOS, and Linux.
+- **Python**: The version of Python used, assisting in maintaining compatibility and support for various Python versions.
+- **Arch**: Architecture of the system (e.g., x86, ARM), which helps optimize our software for different hardware.
+- **AutoLogin**: Indicates whether the auto-login feature is enabled, reflecting user preference settings.
+- **CacheType**: Type of caching mechanism used, which impacts performance and efficiency.
+- **BackendOnly**: Boolean indicating whether you are running Langflow in a backend-only mode, useful for understanding deployment configurations.
+
+### Playground
+
+- **Seconds**: Duration in seconds for playground execution, offering insights into performance during testing or experimental stages.
+- **ComponentCount**: Number of components used in the playground, which helps understand complexity and usage patterns.
+- **Success**: Success status of the playground operation, aiding in identifying the stability of experimental features.
+
+### Component
+
+- **Name**: Identifies the component, providing data on which components are most utilized or prone to issues.
+- **Seconds**: Time taken by the component to execute, offering performance metrics.
+- **Success**: Whether the component operated successfully, which helps in quality control.
+- **ErrorMessage**: Details of any errors encountered, crucial for debugging and improvement.
+
+This telemetry data is crucial for enhancing Langflow and ensuring that our development efforts align with your needs.
+Your feedback and suggestions are invaluable in shaping the future of Langflow, and we appreciate your support in making Langflow better for everyone.
\ No newline at end of file
diff --git a/docs/docs/deployment/backend-only.mdx b/docs/docs/deployment/backend-only.mdx
new file mode 100644
index 00000000000..1fc16de2f57
--- /dev/null
+++ b/docs/docs/deployment/backend-only.mdx
@@ -0,0 +1,129 @@
+import Admonition from "@theme/Admonition";
+
+# Backend-only
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+You can run Langflow in `--backend-only` mode to expose your Langflow app as an API, without running the frontend UI.
+
+Start langflow in backend-only mode with `python3 -m langflow run --backend-only`.
+
+The terminal prints `Welcome to ⛓ Langflow`, and a blank window opens at `http://127.0.0.1:7864/all`.
+Langflow will now serve requests to its API without the frontend running.
+
+## Prerequisites
+
+- [Langflow installed](../getting-started/install-langflow)
+
+- [OpenAI API key](https://platform.openai.com)
+
+- [A Langflow flow created](../starter-projects/basic-prompting)
+
+## Download your flow's curl call
+
+1. Click API.
+2. Click **curl** > **Copy code** and save the code to your local machine.
+   It will look something like this:
+
+```curl
+curl -X POST \
+    "http://127.0.0.1:7864/api/v1/run/ef7e0554-69e5-4e3e-ab29-ee83bcd8d9ef?stream=false" \
+    -H 'Content-Type: application/json'\
+    -d '{"input_value": "message",
+    "output_type": "chat",
+    "input_type": "chat",
+    "tweaks": {
+  "Prompt-kvo86": {},
+  "OpenAIModel-MilkD": {},
+  "ChatOutput-ktwdw": {},
+  "ChatInput-xXC4F": {}
+}}'
+```
+
+Note the flow ID of `ef7e0554-69e5-4e3e-ab29-ee83bcd8d9ef`. You can find this ID in the UI as well to ensure you're querying the right flow.
+
+## Start Langflow in backend-only mode
+
+1. Stop Langflow with Ctrl+C.
+2. Start langflow in backend-only mode with `python3 -m langflow run --backend-only`.
+   The terminal prints `Welcome to ⛓ Langflow`, and a blank window opens at `http://127.0.0.1:7864/all`.
+   Langflow will now serve requests to its API.
+3. Run the curl code you copied from the UI.
+   You should get a result like this:
+
+```bash
+{"session_id":"ef7e0554-69e5-4e3e-ab29-ee83bcd8d9ef:bf81d898868ac87e1b4edbd96c131c5dee801ea2971122cc91352d144a45b880","outputs":[{"inputs":{"input_value":"hi, are you there?"},"outputs":[{"results":{"result":"Arrr, ahoy matey! Aye, I be here. What be ye needin', me hearty?"},"artifacts":{"message":"Arrr, ahoy matey! Aye, I be here. What be ye needin', me hearty?","sender":"Machine","sender_name":"AI"},"messages":[{"message":"Arrr, ahoy matey! Aye, I be here. What be ye needin', me hearty?","sender":"Machine","sender_name":"AI","component_id":"ChatOutput-ktwdw"}],"component_display_name":"Chat Output","component_id":"ChatOutput-ktwdw","used_frozen_result":false}]}]}%
+```
+
+Again, note that the flow ID matches.
+Langflow is receiving your POST request, running the flow, and returning the result, all without running the frontend. Cool!
+
+## Download your flow's Python API call
+
+Instead of using curl, you can download your flow as a Python API call instead.
+
+1. Click API.
+2. Click **Python API** > **Copy code** and save the code to your local machine.
+   The code will look something like this:
+
+```python
+import requests
+from typing import Optional
+
+BASE_API_URL = "http://127.0.0.1:7864/api/v1/run"
+FLOW_ID = "ef7e0554-69e5-4e3e-ab29-ee83bcd8d9ef"
+# You can tweak the flow by adding a tweaks dictionary
+# e.g {"OpenAI-XXXXX": {"model_name": "gpt-4"}}
+
+def run_flow(message: str,
+  flow_id: str,
+  output_type: str = "chat",
+  input_type: str = "chat",
+  tweaks: Optional[dict] = None,
+  api_key: Optional[str] = None) -> dict:
+    """
+    Run a flow with a given message and optional tweaks.
+
+    :param message: The message to send to the flow
+    :param flow_id: The ID of the flow to run
+    :param tweaks: Optional tweaks to customize the flow
+    :return: The JSON response from the flow
+    """
+    api_url = f"{BASE_API_URL}/{flow_id}"
+
+    payload = {
+        "input_value": message,
+        "output_type": output_type,
+        "input_type": input_type,
+    }
+    headers = None
+    if tweaks:
+        payload["tweaks"] = tweaks
+    if api_key:
+        headers = {"x-api-key": api_key}
+    response = requests.post(api_url, json=payload, headers=headers)
+    return response.json()
+
+# Setup any tweaks you want to apply to the flow
+message = "message"
+
+print(run_flow(message=message, flow_id=FLOW_ID))
+```
+
+3. Run your Python app:
+
+```python
+python3 app.py
+```
+
+The result is similar to the curl call:
+
+```bash
+{'session_id': 'ef7e0554-69e5-4e3e-ab29-ee83bcd8d9ef:bf81d898868ac87e1b4edbd96c131c5dee801ea2971122cc91352d144a45b880', 'outputs': [{'inputs': {'input_value': 'message'}, 'outputs': [{'results': {'result': "Arrr matey! What be yer message for this ol' pirate? Speak up or walk the plank!"}, 'artifacts': {'message': "Arrr matey! What be yer message for this ol' pirate? Speak up or walk the plank!", 'sender': 'Machine', 'sender_name': 'AI'}, 'messages': [{'message': "Arrr matey! What be yer message for this ol' pirate? Speak up or walk the plank!", 'sender': 'Machine', 'sender_name': 'AI', 'component_id': 'ChatOutput-ktwdw'}], 'component_display_name': 'Chat Output', 'component_id': 'ChatOutput-ktwdw', 'used_frozen_result': False}]}]}
+```
+
+Your Python app POSTs to your Langflow server, and the server runs the flow and returns the result.
+
+See [API](../administration/api) for more ways to interact with your headless Langflow server.
diff --git a/docs/docs/deployment/docker.mdx b/docs/docs/deployment/docker.mdx
new file mode 100644
index 00000000000..e734d62102f
--- /dev/null
+++ b/docs/docs/deployment/docker.mdx
@@ -0,0 +1,71 @@
+import Admonition from "@theme/Admonition";
+
+# Docker
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+This guide will help you get LangFlow up and running using Docker and Docker Compose.
+
+## Prerequisites
+
+- Docker
+- Docker Compose
+
+## Clone repo and build Docker container
+
+1. Clone the LangFlow repository:
+
+   ```sh
+   git clone https://github.com/langflow-ai/langflow.git
+   ```
+
+2. Navigate to the `docker_example` directory:
+
+   ```sh
+   cd langflow/docker_example
+   ```
+
+3. Run the Docker Compose file:
+
+   ```sh
+   docker compose up
+   ```
+
+LangFlow will now be accessible at [http://localhost:7860/](http://localhost:7860/).
+
+## Docker Compose configuration
+
+The Docker Compose configuration spins up two services: `langflow` and `postgres`.
+
+### LangFlow service
+
+The `langflow` service uses the `langflowai/langflow:latest` Docker image and exposes port 7860. It depends on the `postgres` service.
+
+Environment variables:
+
+- `LANGFLOW_DATABASE_URL`: The connection string for the PostgreSQL database.
+- `LANGFLOW_CONFIG_DIR`: The directory where LangFlow stores logs, file storage, monitor data, and secret keys.
+
+Volumes:
+
+- `langflow-data`: This volume is mapped to `/var/lib/langflow` in the container.
+
+### PostgreSQL service
+
+The `postgres` service uses the `postgres:16` Docker image and exposes port 5432.
+
+Environment variables:
+
+- `POSTGRES_USER`: The username for the PostgreSQL database.
+- `POSTGRES_PASSWORD`: The password for the PostgreSQL database.
+- `POSTGRES_DB`: The name of the PostgreSQL database.
+
+Volumes:
+
+- `langflow-postgres`: This volume is mapped to `/var/lib/postgresql/data` in the container.
+
+## Switch to a specific LangFlow version
+
+If you want to use a specific version of LangFlow, you can modify the `image` field under the `langflow` service in the Docker Compose file. For example, to use version 1.0-alpha, change `langflowai/langflow:latest` to `langflowai/langflow:1.0-alpha`.
diff --git a/docs/docs/deployment/gcp-deployment.md b/docs/docs/deployment/gcp-deployment.md
deleted file mode 100644
index 032426d947b..00000000000
--- a/docs/docs/deployment/gcp-deployment.md
+++ /dev/null
@@ -1,34 +0,0 @@
-# Deploy on Google Cloud Platform
-
-## Run Langflow from a New Google Cloud Project
-
-This guide will help you set up a Langflow development VM in a Google Cloud Platform project using Google Cloud Shell.
-
-> Note: When Cloud Shell opens, be sure to select **Trust repo**. Some `gcloud` commands might not run in an ephemeral Cloud Shell environment.
-
-
-
-## Standard VM 
-[![Open in Cloud Shell](https://gstatic.com/cloudssh/images/open-btn.svg)](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/logspace-ai/langflow&working_dir=scripts&shellonly=true&tutorial=walkthroughtutorial.md)
-
-This script sets up a Debian-based VM with the Langflow package, Nginx, and the necessary configurations to run the Langflow Dev environment.
-
----
-
-## Spot/Preemptible Instance
-
-[![Open in Cloud Shell - Spot Instance](https://gstatic.com/cloudssh/images/open-btn.svg)](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/genome21/langflow&working_dir=scripts&shellonly=true&tutorial=walkthroughtutorial_spot.md)
-
-When running as a [spot (preemptible) instance](https://cloud.google.com/compute/docs/instances/preemptible), the code and VM will behave the same way as in a regular instance, executing the startup script to configure the environment, install necessary dependencies, and run the Langflow application. However, **due to the nature of spot instances, the VM may be terminated at any time if Google Cloud needs to reclaim the resources**. This makes spot instances suitable for fault-tolerant, stateless, or interruptible workloads that can handle unexpected terminations and restarts.
-
----
-
-## Pricing (approximate)
-> For a more accurate breakdown of costs, please use the [**GCP Pricing Calculator**](https://cloud.google.com/products/calculator)
-
-
-| Component      | Regular Cost (Hourly) | Regular Cost (Monthly) | Spot/Preemptible Cost (Hourly) | Spot/Preemptible Cost (Monthly) | Notes |
-| -------------- | --------------------- | ---------------------- | ------------------------------ | ------------------------------- | ----- |
-| 100 GB Disk    | -                     | $10/month              | -                              | $10/month                        | Disk cost remains the same for both regular and Spot/Preemptible VMs |
-| VM (n1-standard-4) | $0.15/hr        | ~$108/month            | ~$0.04/hr                      | ~$29/month                       | The VM cost can be significantly reduced using a Spot/Preemptible instance |
-| **Total**          | **$0.15/hr**         | **~$118/month**        | **~$0.04/hr**                  | **~$39/month**                  | Total costs for running the VM and disk 24/7 for an entire month |
diff --git a/docs/docs/deployment/gcp-deployment.mdx b/docs/docs/deployment/gcp-deployment.mdx
new file mode 100644
index 00000000000..e2abace6bd6
--- /dev/null
+++ b/docs/docs/deployment/gcp-deployment.mdx
@@ -0,0 +1,39 @@
+import Admonition from "@theme/Admonition";
+
+# Deploy on Google Cloud Platform
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+## Run Langflow from a New Google Cloud Project
+
+This guide will help you set up a Langflow development VM in a Google Cloud Platform project using Google Cloud Shell.
+
+> Note: When Cloud Shell opens, be sure to select **Trust repo**. Some `gcloud` commands might not run in an ephemeral Cloud Shell environment.
+
+## Standard VM
+
+[![Open in Cloud Shell](https://gstatic.com/cloudssh/images/open-btn.svg)](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/langflow-ai/langflow&working_dir=scripts/gcp&shellonly=true&tutorial=walkthroughtutorial.md)
+
+This script sets up a Debian-based VM with the Langflow package, Nginx, and the necessary configurations to run the Langflow Dev environment.
+
+---
+
+## Spot/Preemptible Instance
+
+[![Open in Cloud Shell - Spot Instance](https://gstatic.com/cloudssh/images/open-btn.svg)](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/genome21/langflow&working_dir=scripts/gcp&shellonly=true&tutorial=walkthroughtutorial_spot.md)
+
+When running as a [spot (preemptible) instance](https://cloud.google.com/compute/docs/instances/preemptible), the code and VM will behave the same way as in a regular instance, executing the startup script to configure the environment, install necessary dependencies, and run the Langflow application. However, **due to the nature of spot instances, the VM may be terminated at any time if Google Cloud needs to reclaim the resources**. This makes spot instances suitable for fault-tolerant, stateless, or interruptible workloads that can handle unexpected terminations and restarts.
+
+---
+
+## Pricing (approximate)
+
+> For a more accurate breakdown of costs, please use the [**GCP Pricing Calculator**](https://cloud.google.com/products/calculator)
+
+| Component          | Regular Cost (Hourly) | Regular Cost (Monthly) | Spot/Preemptible Cost (Hourly) | Spot/Preemptible Cost (Monthly) | Notes                                                                      |
+| ------------------ | --------------------- | ---------------------- | ------------------------------ | ------------------------------- | -------------------------------------------------------------------------- |
+| 100 GB Disk        | -                     | $10/month              | -                              | $10/month                       | Disk cost remains the same for both regular and Spot/Preemptible VMs       |
+| VM (n1-standard-4) | $0.15/hr              | ~$108/month            | ~$0.04/hr                      | ~$29/month                      | The VM cost can be significantly reduced using a Spot/Preemptible instance |
+| **Total**          | **$0.15/hr**          | **~$118/month**        | **~$0.04/hr**                  | **~$39/month**                  | Total costs for running the VM and disk 24/7 for an entire month           |
diff --git a/docs/docs/deployment/kubernetes.md b/docs/docs/deployment/kubernetes.md
new file mode 100644
index 00000000000..8648354e2d7
--- /dev/null
+++ b/docs/docs/deployment/kubernetes.md
@@ -0,0 +1,315 @@
+# Kubernetes
+
+This guide will help you get LangFlow up and running in Kubernetes cluster, including the following steps:
+
+- Install [LangFlow as IDE](#langflow-ide) in a Kubernetes cluster (for development)
+- Install [LangFlow as a standalone application](#langflow-runtime) in a Kubernetes cluster (for production runtime workloads)
+
+## LangFlow (IDE)
+
+This solution is designed to provide a complete environment for developers to create, test, and debug their flows. It includes both the API and the UI.
+
+### Prerequisites
+
+- Kubernetes server
+- kubectl
+- Helm
+
+### Step 0. Prepare a Kubernetes cluster
+
+We use [Minikube](https://minikube.sigs.k8s.io/docs/start/) for this example, but you can use any Kubernetes cluster.
+
+1. Create a Kubernetes cluster on Minikube.
+   ```shell
+   minikube start
+   ```
+2. Set `kubectl` to use Minikube.
+   ```shell
+   kubectl config use-context minikube
+   ```
+
+### Step 1. Install the LangFlow Helm chart
+
+1. Add the repository to Helm.
+   ```shell
+   helm repo add langflow https://langflow-ai.github.io/langflow-helm-charts
+   helm repo update
+   ```
+2. Install LangFlow with the default options in the `langflow` namespace.
+   ```shell
+   helm install langflow-ide langflow/langflow-ide -n langflow --create-namespace
+   ```
+3. Check the status of the pods
+   ```shell
+   kubectl get pods -n langflow
+   ```
+   ```
+   NAME                                 READY   STATUS    RESTARTS       AGE
+   langflow-0                           1/1     Running   0              33s
+   langflow-frontend-5d9c558dbb-g7tc9   1/1     Running   0              38s
+   ```
+
+### Step 2. Access LangFlow
+
+Enable local port forwarding to access LangFlow from your local machine.
+
+```shell
+kubectl port-forward -n langflow svc/langflow-langflow-runtime 7860:7860
+```
+
+Now you can access LangFlow at [http://localhost:7860/](http://localhost:7860/).
+
+### LangFlow version
+
+To specify a different LangFlow version, you can set the `langflow.backend.image.tag` and `langflow.frontend.image.tag` values in the `values.yaml` file.
+
+```yaml
+langflow:
+  backend:
+    image:
+      tag: "1.0.0a59"
+  frontend:
+    image:
+      tag: "1.0.0a59"
+```
+
+### Storage
+
+By default, the chart will use a SQLLite database stored in a local persistent disk.
+If you want to use an external PostgreSQL database, you can set the `langflow.database` values in the `values.yaml` file.
+
+```yaml
+# Deploy postgresql. You can skip this section if you have an existing postgresql database.
+postgresql:
+  enabled: true
+  fullnameOverride: "langflow-ide-postgresql-service"
+  auth:
+    username: "langflow"
+    password: "langflow-postgres"
+    database: "langflow-db"
+
+langflow:
+  backend:
+    externalDatabase:
+      enabled: true
+      driver:
+        value: "postgresql"
+      host:
+        value: "langflow-ide-postgresql-service"
+      port:
+        value: "5432"
+      database:
+        value: "langflow-db"
+      user:
+        value: "langflow"
+      password:
+        valueFrom:
+          secretKeyRef:
+            key: "password"
+            name: "langflow-ide-postgresql-service"
+    sqlite:
+      enabled: false
+```
+
+### Scaling
+
+You can scale the number of replicas for the LangFlow backend and frontend services by changing the `replicaCount` value in the `values.yaml` file.
+
+```yaml
+langflow:
+  backend:
+    replicaCount: 3
+  frontend:
+    replicaCount: 3
+```
+
+You can scale frontend and backend services independently.
+
+To scale vertically (increase the resources for the pods), you can set the `resources` values in the `values.yaml` file.
+
+```yaml
+langflow:
+  backend:
+    resources:
+      requests:
+        memory: "2Gi"
+        cpu: "1000m"
+  frontend:
+    resources:
+      requests:
+        memory: "1Gi"
+        cpu: "1000m"
+```
+
+### Deploy on AWS EKS, Google GKE, or Azure AKS and other examples
+
+Visit the [LangFlow Helm Charts repository](https://github.com/langflow-ai/langflow-helm-charts) for more examples and configurations.
+
+Use the [default values file](https://github.com/langflow-ai/langflow-helm-charts/blob/main/charts/langflow-ide/values.yaml) as reference for all the options available.
+
+Visit the [examples directory](https://github.com/langflow-ai/langflow-helm-charts/tree/main/examples/langflow-ide) to learn more about different deployment options.
+
+## LangFlow (Runtime)
+
+The runtime chart is tailored for deploying applications in a production environment. It is focused on stability, performance, isolation and security to ensure that applications run reliably and efficiently.
+
+Using a dedicated deployment for a set of flows is fundamental in production environments in order to have a granular resource control.
+
+## Import a flow
+
+There are two ways to import a flow (or multiple flows) and deploy it with the LangFlow runtime Helm chart:
+
+1. **From a remote location**: You can reference a flow stored in a remote location, such as a URL or a Git repository by customizing the `values.yaml` file in the section `downloadFlows`:
+
+   ```yaml
+   downloadFlows:
+     flows:
+       - url: https://raw.githubusercontent.com/langflow-ai/langflow/dev/src/backend/base/langflow/initial_setup/starter_projects/Basic%20Prompting%20(Hello%2C%20world!).json
+   ```
+
+   When the LangFlow runtime starts, it will download the flow from the specified URL and run it.
+   The flow UUID to use to call the API endpoints is the same as the one in the JSON file under the `id` field.
+   You can also specify a `endpoint_name` field to give a friendly name to the flow.
+
+2. **Packaging the flow as docker image**: You can add a flow from to a docker image based on Langflow runtime and refer to it in the chart.
+
+   First you need a base Dockerfile to get the langflow image and add your local flows:
+
+   ```Dockerfile
+      FROM langflowai/langflow-backend:latest
+      RUN mkdir /app/flows
+      COPY ./*json /app/flows/.
+   ```
+
+   Then you can build the image and push it to DockerHub (or any registry you prefer):
+
+   ```bash
+   # Create the Dockerfile
+   echo """FROM langflowai/langflow-backend:latest
+   RUN mkdir /app/flows
+   ENV LANGFLOW_LOAD_FLOWS_PATH=/app/flows
+   COPY ./*json /app/flows/.""" > Dockerfile
+   # Download the flows
+   wget https://raw.githubusercontent.com/langflow-ai/langflow/dev/src/backend/base/langflow/initial_setup/starter_projects/Basic%20Prompting%20(Hello%2C%20world!).json
+   # Build the docker image locally
+   docker build -t myuser/langflow-just-chat:1.0.0 -f Dockerfile .
+   # Push the image to DockerHub
+   docker push myuser/langflow-just-chat:1.0.0
+   ```
+
+### Prerequisites
+
+- Kubernetes server
+- kubectl
+- Helm
+
+### Step 0. Prepare a Kubernetes cluster
+
+Follow the same steps as for the LangFlow IDE.
+
+### Step 1. Install the LangFlow runtime Helm chart
+
+1. Add the repository to Helm.
+   ```shell
+   helm repo add langflow https://langflow-ai.github.io/langflow-helm-charts
+   helm repo update
+   ```
+2. Install the LangFlow app with the default options in the `langflow` namespace.
+   If you bundled the flow in a docker image, you can specify the image name in the `values.yaml` file or with the `--set` flag:
+   ```shell
+   helm install my-langflow-app langflow/langflow-runtime -n langflow --create-namespace --set image.repository=myuser/langflow-just-chat --set image.tag=1.0.0
+   ```
+   If you want to download the flow from a remote location, you can specify the URL in the `values.yaml` file or with the `--set` flag:
+   ```shell
+   helm install my-langflow-app langflow/langflow-runtime -n langflow --create-namespace --set downloadFlows.flows[0].url=https://raw.githubusercontent.com/langflow-ai/langflow/dev/src/backend/base/langflow/initial_setup/starter_projects/Basic%20Prompting%20(Hello%2C%20world!).json
+   ```
+   3. Check the status of the pods
+   ```shell
+   kubectl get pods -n langflow
+   ```
+
+### Step 2. Access the LangFlow app API
+
+Enable local port forwarding to access LangFlow from your local machine.
+
+```shell
+kubectl port-forward -n langflow svc/langflow-my-langflow-app 7860:7860
+```
+
+Now you can access the API at [http://localhost:7860/api/v1/flows](http://localhost:7860/api/v1/flows) and execute the flow:
+
+```bash
+id=$(curl -s http://localhost:7860/api/v1/flows | jq -r '.flows[0].id')
+curl -X POST \
+    "http://localhost:7860/api/v1/run/$id?stream=false" \
+    -H 'Content-Type: application/json'\
+    -d '{
+      "input_value": "Hello!",
+      "output_type": "chat",
+      "input_type": "chat"
+    }'
+```
+
+### Storage
+
+In this case, the storage is not needed as our deployment is stateless.
+
+### Log level and LangFlow configurations
+
+You can set the log level and other LangFlow configurations in the `values.yaml` file.
+
+```yaml
+env:
+  - name: LANGFLOW_LOG_LEVEL
+    value: "INFO"
+```
+
+### Configure secrets and variables
+
+In order to inject secrets and LangFlow global variables, you can use the `secrets` and `env` sections in the `values.yaml` file.
+
+Let's say your flow uses a global variable which is a secret; when you export the flow as JSON, it's recommended to not include it.
+When importing the flow in the LangFlow runtime, you can set the global variable using the `env` section in the `values.yaml` file.
+Assuming you have a global variable called `openai_key_var`, you can read it directly from a secret:
+
+```yaml
+env:
+  - name: openai_key_var
+    valueFrom:
+      secretKeyRef:
+        name: openai-key
+        key: openai-key
+```
+
+or directly from the values file (not recommended for secret values!):
+
+```yaml
+env:
+  - name: openai_key_var
+    value: "sk-...."
+```
+
+### Scaling
+
+You can scale the number of replicas for the LangFlow app by changing the `replicaCount` value in the `values.yaml` file.
+
+```yaml
+replicaCount: 3
+```
+
+To scale vertically (increase the resources for the pods), you can set the `resources` values in the `values.yaml` file.
+
+```yaml
+resources:
+  requests:
+    memory: "2Gi"
+    cpu: "1000m"
+```
+
+### Other examples
+
+Visit the [LangFlow Helm Charts repository](https://github.com/langflow-ai/langflow-helm-charts) for more examples and configurations.
+
+Use the [default values file](https://github.com/langflow-ai/langflow-helm-charts/blob/main/charts/langflow-runtime/values.yaml) as reference for all the options available.
+
+Visit the [examples directory](https://github.com/langflow-ai/langflow-helm-charts/tree/main/examples/langflow-runtime) to learn more about different deployment options.
diff --git a/docs/docs/examples/buffer-memory.mdx b/docs/docs/examples/buffer-memory.mdx
deleted file mode 100644
index 3167081a50e..00000000000
--- a/docs/docs/examples/buffer-memory.mdx
+++ /dev/null
@@ -1,29 +0,0 @@
-import Admonition from "@theme/Admonition";
-
-# Buffer Memory
-
-For certain applications, retaining past interactions is crucial. For that, chains and agents may accept a memory component as one of their input parameters. The `ConversationBufferMemory` component is one of them. It stores messages and extracts them into variables.
-
-## ⛓️ Langflow Example
-
-import ThemedImage from "@theme/ThemedImage";
-import useBaseUrl from "@docusaurus/useBaseUrl";
-import ZoomableImage from "/src/theme/ZoomableImage.js";
-
-<ZoomableImage
-  alt="Docusaurus themed image"
-  sources={{
-    light: "img/buffer-memory.png",
-    dark: "img/buffer-memory.png",
-  }}
-/>
-
-#### <a target="\_blank" href="json_files/Buffer_Memory.json" download>Download Flow</a>
-
-<Admonition type="note" title="LangChain Components 🦜🔗">
-
-- [`ConversationBufferMemory`](https://python.langchain.com/docs/modules/memory/types/buffer)
-- [`ConversationChain`](https://python.langchain.com/docs/modules/chains/)
-- [`ChatOpenAI`](https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai)
-
-</Admonition>
diff --git a/docs/docs/examples/chat-memory.mdx b/docs/docs/examples/chat-memory.mdx
new file mode 100644
index 00000000000..4fa2775aa27
--- /dev/null
+++ b/docs/docs/examples/chat-memory.mdx
@@ -0,0 +1,21 @@
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+import ReactPlayer from "react-player";
+import Admonition from "@theme/Admonition";
+
+# Chat Memory
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+The **Chat Memory** component restores previous messages given a Session ID, which can be any string.
+
+This component is available under the **Helpers** tab of the Langflow sidebar.
+
+<div
+  style={{ marginBottom: "20px", display: "flex", justifyContent: "center" }}
+>
+  <ReactPlayer playing controls url="/videos/chat_memory.mp4" />
+</div>
diff --git a/docs/docs/examples/combine-text.mdx b/docs/docs/examples/combine-text.mdx
new file mode 100644
index 00000000000..10c2e890092
--- /dev/null
+++ b/docs/docs/examples/combine-text.mdx
@@ -0,0 +1,25 @@
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+import ReactPlayer from "react-player";
+import Admonition from "@theme/Admonition";
+
+# Combine Text
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+With LLM pipelines, combining text from different sources may be as important as splitting text.
+
+The **Combine Text** component concatenates two text inputs into a single chunk using a specified delimiter, such as whitespace or a newline.
+
+Also, check out **Combine Texts (Unsorted)** as a similar alternative.
+
+This component is available under the **Helpers** tab of the Langflow sidebar.
+
+<div
+  style={{ marginBottom: "20px", display: "flex", justifyContent: "center" }}
+>
+  <ReactPlayer playing controls url="/videos/combine_text.mp4" />
+</div>
diff --git a/docs/docs/examples/conversation-chain.mdx b/docs/docs/examples/conversation-chain.mdx
deleted file mode 100644
index 1cd59ca55a0..00000000000
--- a/docs/docs/examples/conversation-chain.mdx
+++ /dev/null
@@ -1,34 +0,0 @@
-import Admonition from "@theme/Admonition";
-
-# Conversation Chain
-
-This example shows how to instantiate a simple `ConversationChain` component using a Language Model (LLM). Once the Node Status turns green 🟢, the chat will be ready to take in user messages. Here, we used `ChatOpenAI` to act as the required LLM input, but you can use any LLM for this purpose.
-
-<Admonition type="info">
-
-Make sure to always get the API key from the provider.
-
-</Admonition>
-
-## ⛓️ Langflow Example
-
-import ThemedImage from "@theme/ThemedImage";
-import useBaseUrl from "@docusaurus/useBaseUrl";
-import ZoomableImage from "/src/theme/ZoomableImage.js";
-
-<ZoomableImage
-  alt="Docusaurus themed image"
-  sources={{
-    light: "img/basic-chat.png",
-    dark: "img/basic-chat.png",
-  }}
-/>
-
-#### <a target="\_blank" href="json_files/Basic_Chat.json" download>Download Flow</a>
-
-<Admonition type="note" title="LangChain Components 🦜🔗">
-
-- [`ConversationChain`](https://python.langchain.com/docs/modules/chains/)
-- [`ChatOpenAI`](https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai)
-
-</Admonition>
diff --git a/docs/docs/examples/create-record.mdx b/docs/docs/examples/create-record.mdx
new file mode 100644
index 00000000000..9e681699c9f
--- /dev/null
+++ b/docs/docs/examples/create-record.mdx
@@ -0,0 +1,21 @@
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+import ReactPlayer from "react-player";
+import Admonition from "@theme/Admonition";
+
+# Create Data
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+In Langflow, a `Data` has a structure very similar to a Python dictionary. It is a key-value pair data structure.
+
+The **Create Data** component allows you to dynamically create a `Data` from a specified number of inputs. You can add as many key-value pairs as you want (as long as it is less than 15 😅). Once you've chosen the number of `Data`, add keys and fill up values, or pass on values from other components to the component using the input handles.
+
+<div
+  style={{ marginBottom: "20px", display: "flex", justifyContent: "center" }}
+>
+  <ReactPlayer playing controls url="/videos/create_record.mp4" />
+</div>
diff --git a/docs/docs/examples/csv-loader.mdx b/docs/docs/examples/csv-loader.mdx
deleted file mode 100644
index 351e9944056..00000000000
--- a/docs/docs/examples/csv-loader.mdx
+++ /dev/null
@@ -1,51 +0,0 @@
-import Admonition from "@theme/Admonition";
-
-# CSV Loader
-
-The `VectoStoreAgent` component retrieves information from one or more vector stores. This example shows a `VectoStoreAgent` connected to a CSV file through the `Chroma` vector store. Process description:
-
-- The `CSVLoader` loads a CSV file into a list of documents.
-- The extracted data is then processed by the `CharacterTextSplitter`, which splits the text into small, meaningful chunks (usually sentences).
-- These chunks feed the `Chroma` vector store, which converts them into vectors and stores them for fast indexing.
-- Finally, the agent accesses the information of the vector store through the `VectorStoreInfo` tool.
-
-<Admonition type="info">
-  The vector store is used for efficient semantic search, while
-  `VectorStoreInfo` carries information about it, such as its name and
-  description. Embeddings are a way to represent words, phrases, or any entities
-  in a vector space. Learn more about them
-  [here](https://platform.openai.com/docs/guides/embeddings/what-are-embeddings).
-</Admonition>
-
-<Admonition type="tip">
-  Once you build this flow, ask questions about the data in the chat interface
-  (e.g., number of rows or columns).
-</Admonition>
-
-## ⛓️ Langflow Example
-
-import ThemedImage from "@theme/ThemedImage";
-import useBaseUrl from "@docusaurus/useBaseUrl";
-import ZoomableImage from "/src/theme/ZoomableImage.js";
-
-<ZoomableImage
-  alt="Docusaurus themed image"
-  sources={{
-    light: "img/csv-loader.png",
-    dark: "img/csv-loader.png",
-  }}
-/>
-
-#### <a target="\_blank" href="json_files/CSV_Loader.json" download>Download Flow</a>
-
-<Admonition type="note" title="LangChain Components 🦜🔗">
-
-- [`CSVLoader`](https://python.langchain.com/docs/integrations/document_loaders/csv)
-- [`CharacterTextSplitter`](https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/character_text_splitter)
-- [`OpenAIEmbedding`](https://python.langchain.com/docs/integrations/text_embedding/openai)
-- [`Chroma`](https://python.langchain.com/docs/integrations/vectorstores/chroma)
-- [`VectorStoreInfo`](https://python.langchain.com/docs/modules/data_connection/vectorstores/)
-- [`OpenAI`](https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai)
-- [`VectorStoreAgent`](https://js.langchain.com/docs/modules/agents/tools/how_to/agents_with_vectorstores)
-
-</Admonition>
diff --git a/docs/docs/examples/flow-runner.mdx b/docs/docs/examples/flow-runner.mdx
deleted file mode 100644
index e20dc39f7e9..00000000000
--- a/docs/docs/examples/flow-runner.mdx
+++ /dev/null
@@ -1,368 +0,0 @@
----
-description: Custom Components
-hide_table_of_contents: true
----
-
-import ZoomableImage from "/src/theme/ZoomableImage.js";
-import Admonition from "@theme/Admonition";
-
-# FlowRunner Component
-
-The CustomComponent class allows us to create components that interact with Langflow itself. In this example, we will make a component that runs other flows available in "My Collection".
-
-<ZoomableImage
-  alt="Document Processor Component"
-  sources={{
-    light: "img/flow_runner.png",
-    dark: "img/flow_runner.png",
-  }}
-  style={{
-    width: "30%",
-    margin: "0 auto",
-    display: "flex",
-    justifyContent: "center",
-  }}
-/>
-
-We will cover how to:
-
-- List Collection flows using the _`list_flows`_ method.
-- Load a flow using the _`load_flow`_ method.
-- Configure a dropdown input field using the _`options`_ parameter.
-
-<details open>
-
-<summary>Example Code</summary>
-
-```python
-from langflow import CustomComponent
-from langchain.schema import Document
-
-class FlowRunner(CustomComponent):
-    display_name = "Flow Runner"
-    description = "Run other flows using a document as input."
-
-    def build_config(self):
-        flows = self.list_flows()
-        flow_names = [f.name for f in flows]
-        return {"flow_name": {"options": flow_names,
-                                "display_name": "Flow Name",
-        },
-               "document": {"display_name": "Document"}
-        }
-
-
-    def build(self, flow_name: str, document: Document) -> Document:
-        # List the flows
-        flows = self.list_flows()
-        # Get the flow that matches the selected name
-        # You can also get the flow by id
-        # using self.get_flow(flow_id=flow_id)
-        tweaks = {}
-        flow = self.get_flow(flow_name=flow_name, tweaks=tweaks)
-        # Get the page_content from the document
-        if document and isinstance(document, list):
-            document = document[0]
-        page_content = document.page_content
-        # Use it in the flow
-        result = flow(page_content)
-        return Document(page_content=str(result))
-
-```
-
-</details>
-
-<CH.Scrollycoding rows={20} className={""}>
-
-```python
-from langflow import CustomComponent
-
-
-class MyComponent(CustomComponent):
-    display_name = "Custom Component"
-    description = "This is a custom component"
-
-    def build_config(self):
-        ...
-
-    def build(self):
-        ...
-
-```
-
-The typical structure of a Custom Component is composed of _`display_name`_ and _`description`_ attributes, _`build`_ and _`build_config`_ methods.
-
----
-
-```python
-from langflow import CustomComponent
-
-
-# focus
-class FlowRunner(CustomComponent):
-    # focus
-    display_name = "Flow Runner"
-    # focus
-    description = "Run other flows"
-
-    def build_config(self):
-        ...
-
-    def build(self):
-        ...
-
-```
-
-Let's start by defining our component's _`display_name`_ and _`description`_.
-
----
-
-```python
-from langflow import CustomComponent
-# focus
-from langchain.schema import Document
-
-
-class FlowRunner(CustomComponent):
-    display_name = "Flow Runner"
-    description = "Run other flows using a document as input."
-
-    def build_config(self):
-        ...
-
-    def build(self):
-        ...
-
-```
-
-Second, we will import _`Document`_ from the [_langchain.schema_](https://docs.langchain.com/docs/components/schema/) module. This will be the return type of the _`build`_ method.
-
----
-
-```python
-from langflow import CustomComponent
-# focus
-from langchain.schema import Document
-
-
-class FlowRunner(CustomComponent):
-    display_name = "Flow Runner"
-    description = "Run other flows using a document as input."
-
-    def build_config(self):
-        ...
-
-    # focus
-    def build(self, flow_name: str, document: Document) -> Document:
-        ...
-
-```
-
-Now, let's add the [parameters](focus://11[20:55]) and the [return type](focus://11[60:69]) to the _`build`_ method. The parameters added are:
-
-- _`flow_name`_ is the name of the flow we want to run.
-- _`document`_ is the input document to be passed to that flow.
-  - Since _`Document`_ is a Langchain type, it will add an input [handle](../guidelines/components) to the component ([see more](../components/custom)).
-
----
-
-```python focus=13:14
-from langflow import CustomComponent
-from langchain.schema import Document
-
-
-class FlowRunner(CustomComponent):
-    display_name = "Flow Runner"
-    description = "Run other flows using a document as input."
-
-    def build_config(self):
-        ...
-
-    def build(self, flow_name: str, document: Document) -> Document:
-        # List the flows
-        flows = self.list_flows()
-
-```
-
-We can now start writing the _`build`_ method. Let's list available flows in "My Collection" using the _`list_flows`_ method.
-
----
-
-```python focus=15:18
-from langflow import CustomComponent
-from langchain.schema import Document
-
-
-class FlowRunner(CustomComponent):
-    display_name = "Flow Runner"
-    description = "Run other flows using a document as input."
-
-    def build_config(self):
-        ...
-
-    def build(self, flow_name: str, document: Document) -> Document:
-        # List the flows
-        flows = self.list_flows()
-        # Get the flow that matches the selected name
-        # You can also get the flow by id
-        # using self.get_flow(flow_id=flow_id)
-        tweaks = {}
-        flow = self.get_flow(flow_name=flow_name, tweaks=tweaks)
-
-```
-
-And retrieve a flow that matches the selected name (we'll make a dropdown input field for the user to choose among flow names).
-
-<Admonition type="caution">
-  From version 0.4.0, names are unique, which was not the case in previous
-  versions. This might lead to unexpected results if using flows with the same
-  name.
-</Admonition>
-
----
-
-```python
-from langflow import CustomComponent
-from langchain.schema import Document
-
-
-class FlowRunner(CustomComponent):
-    display_name = "Flow Runner"
-    description = "Run other flows using a document as input."
-
-    def build_config(self):
-        ...
-
-    def build(self, flow_name: str, document: Document) -> Document:
-        # List the flows
-        flows = self.list_flows()
-        # Get the flow that matches the selected name
-        # You can also get the flow by id
-        # using self.get_flow(flow_id=flow_id)
-        tweaks = {}
-        flow = self.get_flow(flow_name=flow_name, tweaks=tweaks)
-
-
-```
-
-You can load this flow using _`get_flow`_ and set a _`tweaks`_ dictionary to customize it. Find more about tweaks in our [features guidelines](../guidelines/features#code).
-
----
-
-```python
-from langflow import CustomComponent
-from langchain.schema import Document
-
-
-class FlowRunner(CustomComponent):
-    display_name = "Flow Runner"
-    description = "Run other flows using a document as input."
-
-    def build_config(self):
-        ...
-
-    def build(self, flow_name: str, document: Document) -> Document:
-        # List the flows
-        flows = self.list_flows()
-        # Get the flow that matches the selected name
-        # You can also get the flow by id
-        # using self.get_flow(flow_id=flow_id)
-        tweaks = {}
-        flow = self.get_flow(flow_name=flow_name, tweaks=tweaks)
-        # Get the page_content from the document
-        if document and isinstance(document, list):
-            document = document[0]
-        page_content = document.page_content
-        # Use it in the flow
-        result = flow(page_content)
-        return Document(page_content=str(result))
-```
-
-We are using a _`Document`_ as input because it is a straightforward way to pass text data in Langflow (specifically because you can connect it to many [loaders](../components/loaders)).
-Generally, a flow will take a string or a dictionary as input because that's what LangChain components expect.
-In case you are passing a dictionary, you need to build it according to the needs of the flow you are using.
-
-The content of a document can be extracted using the _`page_content`_ attribute, which is a string, and passed as an argument to the selected flow.
-
----
-
-```python focus=9:16
-from langflow import CustomComponent
-from langchain.schema import Document
-
-
-class FlowRunner(CustomComponent):
-    display_name = "Flow Runner"
-    description = "Run other flows using a document as input."
-
-    def build_config(self):
-        flows = self.list_flows()
-        flow_names = [f.name for f in flows]
-        return {"flow_name": {"options": flow_names,
-                                "display_name": "Flow Name",
-        },
-               "document": {"display_name": "Document"}
-        }
-
-    def build(self, flow_name: str, document: Document) -> Document:
-        # List the flows
-        flows = self.list_flows()
-        # Get the flow that matches the selected name
-        # You can also get the flow by id
-        # using self.get_flow(flow_id=flow_id)
-        tweaks = {}
-        flow = self.get_flow(flow_name=flow_name, tweaks=tweaks)
-        # Get the page_content from the document
-        if document and isinstance(document, list):
-            document = document[0]
-        page_content = document.page_content
-        # Use it in the flow
-        result = flow(page_content)
-        return Document(page_content=str(result))
-```
-
-Finally, we can add field customizations through the _`build_config`_ method. Here we added the _`options`_ key to make the _`flow_name`_ field a dropdown menu. Check out the [custom component reference](../components/custom) for a list of available keys.
-
-<Admonition type="caution">
-  Make sure that the field type is _`str`_ and _`options`_ values are strings.
-</Admonition>
-
-</CH.Scrollycoding>
-
-Done! This is what our script and custom component looks like:
-
-<div style={{
-        display: "flex",
-        justifyContent: "center",
-    }}>
-
-    <ZoomableImage
-    alt="Document Processor Code"
-    sources={{
-        light: "img/flow_runner_code.png",
-        dark: "img/flow_runner_code.png",
-    }}
-    style={{
-        maxWidth: "100%",
-        margin: "0 auto",
-        display: "flex",
-        justifyContent: "center",
-    }}
-
-/>
-
-    <ZoomableImage
-    alt="Document Processor Component"
-    sources={{
-        light: "img/flow_runner.png",
-        dark: "img/flow_runner.png",
-    }}
-    style={{
-        width: "40%",
-        margin: "0 auto",
-        display: "flex",
-        justifyContent: "center",
-    }}
-    />
-
-</div>
diff --git a/docs/docs/examples/how-upload-examples.mdx b/docs/docs/examples/how-upload-examples.mdx
deleted file mode 100644
index 4f54558ebe5..00000000000
--- a/docs/docs/examples/how-upload-examples.mdx
+++ /dev/null
@@ -1,28 +0,0 @@
-import ThemedImage from "@theme/ThemedImage";
-import useBaseUrl from "@docusaurus/useBaseUrl";
-import ZoomableImage from "/src/theme/ZoomableImage.js";
-
-# 📚 How to Upload Examples?
-
-We welcome all examples that can help our community learn and explore Langflow's capabilities.
-Langflow Examples is a repository on [GitHub](https://github.com/logspace-ai/langflow_examples) that contains examples of flows that people can use for inspiration and learning.
-
-{" "}
-<ZoomableImage
-  alt="Docusaurus themed image"
-  sources={{
-    light: "img/community-examples.png",
-    dark: "img/community-examples.png",
-  }}
-  style={{ width: "100%" }}
-/>
-
-To upload examples, please follow these steps:
-
-1. **Create a Flow:** First, create a flow using Langflow. You can use any of the available templates or create a new flow from scratch.
-
-2. **Export the Flow:** Once you have created a flow, export it as a JSON file. Make sure to give your file a descriptive name and include a brief description of what it does.
-
-3. **Submit a Pull Request:** Finally, submit a pull request (PR) to the examples repo. Make sure to include your JSON file in the PR.
-
-If your example uses any third-party libraries or packages, please include them in your PR and make sure that your example follows the [**⛓️ Langflow Code Of Conduct**](https://github.com/logspace-ai/langflow/blob/dev/CODE_OF_CONDUCT.md).
diff --git a/docs/docs/examples/midjourney-prompt-chain.mdx b/docs/docs/examples/midjourney-prompt-chain.mdx
deleted file mode 100644
index 9df732026b2..00000000000
--- a/docs/docs/examples/midjourney-prompt-chain.mdx
+++ /dev/null
@@ -1,46 +0,0 @@
-import Admonition from "@theme/Admonition";
-
-# MidJourney Prompt Chain
-
-The `MidJourneyPromptChain` can be used to generate imaginative and detailed MidJourney prompts.
-
-For example, type something like:
-
-```bash
-Dragon
-```
-
-And get a response such as:
-
-```text
-Imagine a mysterious forest, the trees are tall and ancient, their branches reaching up to the sky. Through the darkness, a dragon emerges from the shadows, its scales shimmering in the moonlight. Its wingspan is immense, and its eyes glow with a fierce intensity. It is a majestic and powerful creature, one that commands both respect and fear.
-```
-
-<Admonition type="tip">
-  Notice that the `ConversationSummaryMemory` stores a summary of the
-  conversation over time. Try using it to create better prompts as the
-  conversation goes on.
-</Admonition>
-
-## ⛓️ Langflow Example
-
-import ThemedImage from "@theme/ThemedImage";
-import useBaseUrl from "@docusaurus/useBaseUrl";
-import ZoomableImage from "/src/theme/ZoomableImage.js";
-
-<ZoomableImage
-  alt="Docusaurus themed image"
-  sources={{
-    light: "img/midjourney-prompt-chain.png",
-    dark: "img/midjourney-prompt-chain.png",
-  }}
-/>
-
-#### <a target="\_blank" href="json_files/MidJourney_Prompt_Chain.json" download>Download Flow</a>
-
-<Admonition type="note" title="LangChain Components 🦜🔗">
-
-- [`OpenAI`](https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai)
-- [`ConversationSummaryMemory`](https://python.langchain.com/docs/modules/memory/types/summary)
-
-</Admonition>
diff --git a/docs/docs/examples/multiple-vectorstores.mdx b/docs/docs/examples/multiple-vectorstores.mdx
deleted file mode 100644
index 2e554bbf139..00000000000
--- a/docs/docs/examples/multiple-vectorstores.mdx
+++ /dev/null
@@ -1,58 +0,0 @@
-import Admonition from "@theme/Admonition";
-
-# Multiple Vector Stores
-
-The example below shows an agent operating with two vector stores built upon different data sources.
-
-The `TextLoader` loads a TXT file, while the `WebBaseLoader` pulls text from webpages into a document format to accessed downstream. The `Chroma` vector stores are created analogous to what we have demonstrated in our [CSV Loader](/examples/csv-loader.mdx) example. Finally, the `VectorStoreRouterAgent` constructs an agent that routes between the vector stores.
-
-<Admonition type="info">
-  Get the TXT file used
-  [here](https://github.com/hwchase17/chat-your-data/blob/master/state_of_the_union.txt).
-</Admonition>
-
-URL used by the `WebBaseLoader`:
-
-```text
-https://pt.wikipedia.org/wiki/Harry_Potter
-```
-
-<Admonition type="tip">
-  When you build the flow, request information about one of the sources. The
-  agent should be able to use the correct source to generate a response.
-</Admonition>
-
-<Admonition type="info">
-  Learn more about Multiple Vector Stores
-  [here](https://python.langchain.com/docs/modules/data_connection/vectorstores/).
-</Admonition>
-
-## ⛓️ Langflow Example
-
-import ThemedImage from "@theme/ThemedImage";
-import useBaseUrl from "@docusaurus/useBaseUrl";
-import ZoomableImage from "/src/theme/ZoomableImage.js";
-
-<ZoomableImage
-  alt="Docusaurus themed image"
-  sources={{
-    light: "img/multiple-vectorstores.png",
-    dark: "img/multiple-vectorstores.png",
-  }}
-/>
-
-#### <a target="\_blank" href="json_files/Multiple_Vector_Stores.json" download>Download Flow</a>
-
-<Admonition type="note" title="LangChain Components 🦜🔗">
-
-- [`WebBaseLoader`](https://python.langchain.com/docs/integrations/document_loaders/web_base)
-- [`TextLoader`](https://python.langchain.com/docs/modules/data_connection/document_loaders/)
-- [`CharacterTextSplitter`](https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/character_text_splitter)
-- [`OpenAIEmbedding`](https://python.langchain.com/docs/integrations/text_embedding/openai)
-- [`Chroma`](https://python.langchain.com/docs/integrations/vectorstores/chroma)
-- [`VectorStoreInfo`](https://python.langchain.com/docs/modules/data_connection/vectorstores/)
-- [`OpenAI`](https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai)
-- [`VectorStoreRouterToolkit`](https://js.langchain.com/docs/modules/agents/tools/how_to/agents_with_vectorstores)
-- [`VectorStoreRouterAgent`](https://js.langchain.com/docs/modules/agents/tools/how_to/agents_with_vectorstores)
-
-</Admonition>
diff --git a/docs/docs/examples/pass.mdx b/docs/docs/examples/pass.mdx
new file mode 100644
index 00000000000..5f75adac1c1
--- /dev/null
+++ b/docs/docs/examples/pass.mdx
@@ -0,0 +1,21 @@
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+import ReactPlayer from "react-player";
+import Admonition from "@theme/Admonition";
+
+# Pass
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+Sometimes all you need to do is… nothing!
+
+The **Pass** component enables you to ignore one input and move forward with another one. This is super helpful to swap routes for A/B testing!
+
+<div
+  style={{ marginBottom: "20px", display: "flex", justifyContent: "center" }}
+>
+  <ReactPlayer playing controls url="/videos/pass.mp4" />
+</div>
diff --git a/docs/docs/examples/python-function.mdx b/docs/docs/examples/python-function.mdx
deleted file mode 100644
index 9eadd72734c..00000000000
--- a/docs/docs/examples/python-function.mdx
+++ /dev/null
@@ -1,56 +0,0 @@
-import Admonition from "@theme/Admonition";
-
-# Python Function
-
-Langflow allows you to create a customized tool using the `PythonFunction` connected to a `Tool` component. In this example, Regex is used in Python to validate a pattern.
-
-```python
-import re
-
-def is_brazilian_zipcode(zipcode: str) -> bool:
-    pattern = r"\d{5}-?\d{3}"
-
-    # Check if the zip code matches the pattern
-    if re.match(pattern, zipcode):
-        return True
-
-    return False
-```
-
-<Admonition type="tip">
-  When a tool is called, it is often desirable to have its output returned
-  directly to the user. You can do this by setting the **return_direct** flag
-  for a tool to be True.
-</Admonition>
-
-The `AgentInitializer` component is a quick way to construct an agent from the model and tools.
-
-<Admonition type="info">
-  The `PythonFunction` is a custom component that uses the LangChain 🦜🔗 tool
-  decorator. Learn more about it
-  [here](https://python.langchain.com/docs/modules/agents/tools/custom_tools).
-</Admonition>
-
-## ⛓️ Langflow Example
-
-import ThemedImage from "@theme/ThemedImage";
-import useBaseUrl from "@docusaurus/useBaseUrl";
-import ZoomableImage from "/src/theme/ZoomableImage.js";
-
-<ZoomableImage
-  alt="Docusaurus themed image"
-  sources={{
-    light: "img/python-function.png",
-    dark: "img/python-function.png",
-  }}
-/>
-
-#### <a target="\_blank" href="json_files/Python_Function.json" download>Download Flow</a>
-
-<Admonition type="note" title="LangChain Components 🦜🔗">
-
-- [`PythonFunctionTool`](https://python.langchain.com/docs/modules/agents/tools/custom_tools)
-- [`ChatOpenAI`](https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai)
-- [`AgentInitializer`](https://python.langchain.com/docs/modules/agents/)
-
-</Admonition>
diff --git a/docs/docs/examples/searchapi-tool.mdx b/docs/docs/examples/searchapi-tool.mdx
deleted file mode 100644
index d3cb4734a13..00000000000
--- a/docs/docs/examples/searchapi-tool.mdx
+++ /dev/null
@@ -1,52 +0,0 @@
-import Admonition from "@theme/Admonition";
-
-# SearchApi Tool
-
-The [SearchApi](https://www.searchapi.io/) allows developers to retrieve results from search engines such as Google, Google Scholar, YouTube, YouTube transcripts, and more, and can be used as in Langflow through the `SearchApi` tool.
-
-<Admonition type="info">
-  To use the SearchApi, you must first obtain an API key by registering at [SearchApi's website](https://www.searchapi.io/).
-</Admonition>
-
-In the given example, we specify `engine` as `youtube_transcripts` and provide a `video_id`.
-
-<Admonition type="info">
-  All engines and parameters can be found in [SearchApi documentation](https://www.searchapi.io/docs/google).
-</Admonition>
-
-The `RetrievalQA` chain processes a `Document` along with a user's question to return an answer.
-
-<Admonition type="tip">
-  In this example, we used [`ChatOpenAI`](https://platform.openai.com/) as the
-  LLM, but feel free to experiment with other Language Models!
-</Admonition>
-
-The `RetrievalQA` takes `CombineDocsChain` and `SearchApi` tool as inputs, using the tool as a `Document` to answer questions.
-
-<Admonition type="info">
-  Learn more about the SearchApi
-  [here](https://python.langchain.com/docs/integrations/tools/searchapi).
-</Admonition>
-
-## ⛓️ Langflow Example
-
-import ThemedImage from "@theme/ThemedImage";
-import useBaseUrl from "@docusaurus/useBaseUrl";
-import ZoomableImage from "/src/theme/ZoomableImage.js";
-
-<ZoomableImage
-  alt="Docusaurus themed image"
-  sources={{
-    light: "img/searchapi-tool.png",
-  }}
-/>
-
-#### <a target="\_blank" href="json_files/SearchApi_Tool.json" download>Download Flow</a>
-
-<Admonition type="note" title="LangChain Components 🦜🔗">
-
-- [`OpenAI`](https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai)
-- [`SearchApiAPIWrapper`](https://python.langchain.com/docs/integrations/providers/searchapi#wrappers)
-- [`ZeroShotAgent`](https://python.langchain.com/docs/modules/agents/how_to/custom_mrkl_agent)
-
-</Admonition>
\ No newline at end of file
diff --git a/docs/docs/examples/serp-api-tool.mdx b/docs/docs/examples/serp-api-tool.mdx
deleted file mode 100644
index 7e8d95936ec..00000000000
--- a/docs/docs/examples/serp-api-tool.mdx
+++ /dev/null
@@ -1,52 +0,0 @@
-import Admonition from "@theme/Admonition";
-
-# Serp API Tool
-
-The [Serp API](https://serpapi.com/) (Search Engine Results Page) allows developers to scrape results from search engines such as Google, Bing and Yahoo, and can be used as in Langflow through the `Search` component.
-
-<Admonition type="info">
-  To use the Serp API, you first need to sign up [Serp
-  API](https://serpapi.com/) for an API key on the provider's website.
-</Admonition>
-
-Here, the `ZeroShotPrompt` component specifies a prompt template for the `ZeroShotAgent`. Set a _Prefix_ and _Suffix_ with rules for the agent to obey. In the example, we used default templates.
-
-The `LLMChain` is a simple chain that takes in a prompt template, formats it with the user input, and returns the response from an LLM.
-
-<Admonition type="tip">
-  In this example, we used [`ChatOpenAI`](https://platform.openai.com/) as the
-  LLM, but feel free to experiment with other Language Models!
-</Admonition>
-
-The `ZeroShotAgent` takes the `LLMChain` and the `Search` tool as inputs, using the tool to find information when necessary.
-
-<Admonition type="info">
-  Learn more about the Serp API
-  [here](https://python.langchain.com/docs/integrations/providers/serpapi ).
-</Admonition>
-
-## ⛓️ Langflow Example
-
-import ThemedImage from "@theme/ThemedImage";
-import useBaseUrl from "@docusaurus/useBaseUrl";
-import ZoomableImage from "/src/theme/ZoomableImage.js";
-
-<ZoomableImage
-  alt="Docusaurus themed image"
-  sources={{
-    light: "img/serp-api-tool.png",
-    dark: "img/serp-api-tool.png",
-  }}
-/>
-
-#### <a target="\_blank" href="json_files/SerpAPI_Tool.json" download>Download Flow</a>
-
-<Admonition type="note" title="LangChain Components 🦜🔗">
-
-- [`ZeroShotPrompt`](https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/)
-- [`OpenAI`](https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai)
-- [`LLMChain`](https://python.langchain.com/docs/modules/chains/foundational/llm_chain)
-- [`Search`](https://python.langchain.com/docs/integrations/providers/serpapi)
-- [`ZeroShotAgent`](https://python.langchain.com/docs/modules/agents/how_to/custom_mrkl_agent)
-
-</Admonition>
diff --git a/docs/docs/examples/store-message.mdx b/docs/docs/examples/store-message.mdx
new file mode 100644
index 00000000000..df2cb3c39c3
--- /dev/null
+++ b/docs/docs/examples/store-message.mdx
@@ -0,0 +1,21 @@
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+import ReactPlayer from "react-player";
+import Admonition from "@theme/Admonition";
+
+# Store Message
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+The **Store Message** component allows you to save information under a specified Session ID and sender type.
+
+The **Message History** component can then be used to retrieve stored messages.
+
+<div
+  style={{ marginBottom: "20px", display: "flex", justifyContent: "center" }}
+>
+  <ReactPlayer playing controls url="/videos/store_message.mp4" />
+</div>
diff --git a/docs/docs/examples/sub-flow.mdx b/docs/docs/examples/sub-flow.mdx
new file mode 100644
index 00000000000..31cc7448e00
--- /dev/null
+++ b/docs/docs/examples/sub-flow.mdx
@@ -0,0 +1,19 @@
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+import ReactPlayer from "react-player";
+import Admonition from "@theme/Admonition";
+
+# Sub Flow
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+The **Sub Flow** component enables a user to select a previously built flow and dynamically generate a component out of it.
+
+<div
+  style={{ marginBottom: "20px", display: "flex", justifyContent: "center" }}
+>
+  <ReactPlayer playing controls url="/videos/sub_flow.mp4" />
+</div>
diff --git a/docs/docs/examples/text-operator.mdx b/docs/docs/examples/text-operator.mdx
new file mode 100644
index 00000000000..a5fd07e08f9
--- /dev/null
+++ b/docs/docs/examples/text-operator.mdx
@@ -0,0 +1,19 @@
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+import ReactPlayer from "react-player";
+import Admonition from "@theme/Admonition";
+
+# Text Operator
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+The **Text Operator** component simplifies logic. It evaluates the results from another component (for example, if the input text exactly equals `Tuna`) and runs another component based on the results. Basically, the text operator is an if/else component for your flow.
+
+<div
+  style={{ marginBottom: "20px", display: "flex", justifyContent: "center" }}
+>
+  <ReactPlayer playing controls url="/videos/text_operator.mp4" />
+</div>
diff --git a/docs/docs/getting-started/creating-flows.mdx b/docs/docs/getting-started/creating-flows.mdx
deleted file mode 100644
index aecc3ea169c..00000000000
--- a/docs/docs/getting-started/creating-flows.mdx
+++ /dev/null
@@ -1,38 +0,0 @@
-import ThemedImage from "@theme/ThemedImage";
-import useBaseUrl from "@docusaurus/useBaseUrl";
-import ZoomableImage from "/src/theme/ZoomableImage.js";
-import ReactPlayer from "react-player";
-
-# 🎨 Creating Flows
-
-## Compose
-
-Creating flows with Langflow is easy. Drag sidebar components onto the canvas and connect them together to create your pipeline. Langflow provides a range of [LangChain components](https://python.langchain.com/docs/modules/) to choose from, including LLMs, prompt serializers, agents, and chains.
-
-<ZoomableImage
-  alt="Docusaurus themed image"
-  sources={{
-    light: "img/langflow_canvas.png",
-    dark: "img/langflow_canvas.png"
-  }}
-/>
-
-## Fork
-
-The easiest way to start with Langflow is by forking a **community example**. Forking an example stores a copy in your project collection, allowing you to edit and save the modified version as a new flow.
-
-<div
-  style={{ marginBottom: "20px", display: "flex", justifyContent: "center" }}
->
-  <ReactPlayer playing controls url="/videos/langflow_fork.mp4" />
-</div>
-
-## Build
-
-Building a flow means validating if the components have prerequisites fulfilled and are properly instantiated. When a chat message is sent, the flow will run for the first time, executing the pipeline.
-
-<div
-  style={{ marginBottom: "20px", display: "flex", justifyContent: "center" }}
->
-  <ReactPlayer playing controls url="/videos/langflow_build.mp4" />
-</div>
diff --git a/docs/docs/getting-started/hugging-face-spaces.mdx b/docs/docs/getting-started/hugging-face-spaces.mdx
deleted file mode 100644
index 4759ea398e2..00000000000
--- a/docs/docs/getting-started/hugging-face-spaces.mdx
+++ /dev/null
@@ -1,20 +0,0 @@
-# 🤗 HuggingFace Spaces
-
-A fully featured version of Langflow can be accessed via HuggingFace spaces with no installation required.
-
-import ThemedImage from "@theme/ThemedImage";
-import useBaseUrl from "@docusaurus/useBaseUrl";
-import ZoomableImage from "/src/theme/ZoomableImage.js";
-
-{" "}
-
-<ZoomableImage
-  alt="Docusaurus themed image"
-  sources={{
-    light: "img/hugging-face.png",
-    dark: "img/hugging-face.png",
-  }}
-  style={{ width: "100%" }}
-/>
-
-Check out Langflow on [HuggingFace Spaces](https://huggingface.co/spaces/Logspace/Langflow).
diff --git a/docs/docs/getting-started/install-langflow.mdx b/docs/docs/getting-started/install-langflow.mdx
new file mode 100644
index 00000000000..f2f33e24e9e
--- /dev/null
+++ b/docs/docs/getting-started/install-langflow.mdx
@@ -0,0 +1,86 @@
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+import Admonition from "@theme/Admonition";
+
+# 📦 Install Langflow
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+<Admonition type="info">
+  Langflow **requires** Python version 3.10 or greater and
+  [pip](https://pypi.org/project/pip/) or
+  [pipx](https://pipx.pypa.io/stable/installation/) to be installed on your
+  system.
+</Admonition>
+
+Install Langflow with pip:
+
+```bash
+python -m pip install langflow -U
+```
+
+Install Langflow with pipx:
+
+```bash
+pipx install langflow --python python3.10 --fetch-missing-python
+```
+
+Pipx can fetch the missing Python version for you with `--fetch-missing-python`, but you can also install the Python version manually. Use `--force-reinstall` to ensure you have the latest version of Langflow and its dependencies.
+
+## Having a problem?
+
+If you encounter a problem, see [Common Installation Issues](/migration/possible-installation-issues).
+
+To get help in the Langflow CLI:
+
+```bash
+python -m langflow --help
+```
+
+## ⛓️ Run Langflow
+
+1. To run Langflow, enter the following command.
+
+```bash
+python -m langflow run
+```
+
+2. Confirm that a local Langflow instance starts by visiting `http://127.0.0.1:7860` in a Chromium-based browser.
+
+<ZoomableImage
+  alt="Instructions for duplicating Langflow space on HuggingFace"
+  sources={{
+    light: "img/welcome-to-langflow.png",
+    dark: "img/welcome-to-langflow.png",
+  }}
+  style={{ width: "80%", maxWidth: "800px", margin: "0 auto" }}
+/>
+
+3. Continue on to the [Quickstart](./quickstart).
+
+## HuggingFace Spaces
+
+HuggingFace provides a great alternative for running Langflow in their Spaces environment. This means you can run Langflow in the cloud without any local installation required. Here's how you can get Langflow up and running on HuggingFace Spaces:
+
+1. **Access Langflow Space**: Open a Chromium-based browser and navigate to the [Langflow Space](https://huggingface.co/spaces/Langflow/Langflow?duplicate=true). This link directs you to a pre-configured environment for Langflow.
+
+2. **Duplicate the Space**: You'll encounter an option to duplicate the Langflow space. This step involves a few simple decisions:
+   - **Naming Your Space**: Assign a unique name to your new Space.
+   - **Visibility Settings**: Choose between Public or Private visibility for your Space.
+   - After setting these parameters, click on **Duplicate Space** to initiate the setup.
+
+<ZoomableImage
+  alt="Instructions for duplicating Langflow space on HuggingFace"
+  sources={{
+    light: "img/duplicate-space.png",
+    dark: "img/duplicate-space.png",
+  }}
+  style={{ width: "80%", maxWidth: "800px", margin: "0 auto" }}
+/>
+
+3. **Complete Installation**: The duplication and setup process begins immediately after you click **Duplicate Space**. Once completed, you will be automatically redirected to the main page of your new Space.
+
+4. **Start Exploring Langflow**: With the setup complete, Langflow is now ready for use in your Space and you can start exploring its features and capabilities right away!
diff --git a/docs/docs/getting-started/installation.md b/docs/docs/getting-started/installation.md
deleted file mode 100644
index c3ad542393e..00000000000
--- a/docs/docs/getting-started/installation.md
+++ /dev/null
@@ -1,15 +0,0 @@
-# 📦 How to install?
-
-## Installation
-
-You can install Langflow from pip:
-
-```bash
-pip install langflow
-```
-
-Next, run:
-
-```bash
-langflow
-```
\ No newline at end of file
diff --git a/docs/docs/getting-started/new-to-llms.mdx b/docs/docs/getting-started/new-to-llms.mdx
new file mode 100644
index 00000000000..c6a73e96d2f
--- /dev/null
+++ b/docs/docs/getting-started/new-to-llms.mdx
@@ -0,0 +1,12 @@
+# 📚 New to LLMs?
+
+Large Language Models, or LLMs, are part of an exciting new world in computing.
+
+We made Langflow for anyone to create with LLMs, and hope you'll feel comfortable installing Langflow and [getting started](./quickstart).
+
+If you want to learn the basics of LLMs, prompt engineering, and AI models, Langflow recommends [promptingguide.ai](https://promptingguide.ai), an open-source repository of prompt engineering content maintained by AI experts.
+PromptingGuide offers content for [beginners](https://www.promptingguide.ai/introduction/basics) and [experts](https://www.promptingguide.ai/techniques/cot), as well as the latest [research papers](https://www.promptingguide.ai/papers) and [test results](https://www.promptingguide.ai/research) fueling AI's progress.
+
+For an in depth readings, we recommend [Awesome LLM Books](https://github.com/Hannibal046/Awesome-LLM?tab=readme-ov-file#llm-books), a curated list of resources for learning about LLMs and their applications.
+
+{/* Wherever you are on your AI journey, it's helpful to keep Prompting Guide open in a tab. */}
diff --git a/docs/docs/getting-started/possible-installation-issues.mdx b/docs/docs/getting-started/possible-installation-issues.mdx
new file mode 100644
index 00000000000..21e6a5d1a76
--- /dev/null
+++ b/docs/docs/getting-started/possible-installation-issues.mdx
@@ -0,0 +1,47 @@
+import Admonition from "@theme/Admonition";
+
+# ❗️ Common Installation Issues
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+This is a list of possible issues that you may encounter when installing Langflow and how to solve them.
+
+## _`No module named 'langflow.__main__'`_
+
+1. Run _`python -m langflow run`_ instead of _`langflow run`_.
+2. If that doesn't work, reinstall Langflow with _`_python -m pip install langflow --pre -U`_.
+3. If that doesn't work, reinstall Langflow and its dependencies with _`python -m pip install langflow --pre -U --force-reinstall`_.
+
+When you try to run Langflow using the command `langflow run`, you may encounter the following error:
+
+```bash
+> langflow run
+Traceback (most recent call last):
+ File ".../langflow", line 5, in <module>
+  from langflow.__main__ import main
+ModuleNotFoundError: No module named 'langflow.__main__'
+```
+
+There are two possible reasons for this error:
+
+1. You've installed Langflow using _`pip install langflow`_ but you already had a previous version of Langflow installed in your system.
+   In this case, you might be running the wrong executable.
+   To solve this issue, run the correct executable by running _`python -m langflow run`_ instead of _`langflow run`_.
+   If that doesn't work, try uninstalling and reinstalling Langflow with _`python -m pip install langflow --pre -U`_.
+2. Some version conflicts might have occurred during the installation process.
+   Run _`python -m pip install langflow --pre -U --force-reinstall`_ to reinstall Langflow and its dependencies.
+
+## _`Something went wrong running migrations. Please, run 'langflow migration --fix'`_
+
+Clear the cache by deleting the contents of the cache folder.
+
+This folder can be found at:
+
+- **Linux or WSL2 on Windows**: `home/<username>/.cache/langflow/`
+- **MacOS**: `/Users/<username>/Library/Caches/langflow/`
+
+This error can occur during Langflow upgrades when the new version can't override `langflow-pre.db` in `.cache/langflow/`. Clearing the cache removes this file but will also erase your settings.
+
+If you wish to retain your files, back them up before clearing the folder.
diff --git a/docs/docs/getting-started/quickstart.mdx b/docs/docs/getting-started/quickstart.mdx
new file mode 100644
index 00000000000..e6151c1ebd8
--- /dev/null
+++ b/docs/docs/getting-started/quickstart.mdx
@@ -0,0 +1,83 @@
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+import ReactPlayer from "react-player";
+import Admonition from "@theme/Admonition";
+
+# ⚡️ Quickstart
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+This guide demonstrates how to build a basic flow and modify the prompt for different outcomes.
+
+## Prerequisites
+
+- [Python >=3.10](https://www.python.org/downloads/release/python-3100/) and [pip](https://pypi.org/project/pip/) or [pipx](https://pipx.pypa.io/stable/installation/)
+
+- [Langflow installed and running](./install-langflow)
+
+- [OpenAI API key](https://platform.openai.com)
+
+## Hello World - Basic Prompting
+
+Let's start with a Prompt component to instruct an OpenAI Model.
+
+Prompts serve as the inputs to a large language model (LLM), acting as the interface between human instructions and computational tasks. By submitting natural language requests in a prompt to an LLM, you can obtain answers, generate text, and solve problems.
+
+<br />
+
+1. From the Langflow dashboard, click **New Project**.
+2. Select **Basic Prompting**.
+
+<br />
+
+<ZoomableImage
+  alt="Quickstart Guide Screenshot"
+  sources={{
+    light: "img/quickstart.png",
+    dark: "img/quickstart.png",
+  }}
+  style={{ width: "80%", margin: "20px auto" }}
+/>
+
+This flow allows you to chat with the **OpenAI** model by using a **Prompt** to send instructions.
+
+Examine the **Prompt** component. The **Template** field instructs the LLM to `Answer the user as if you were a pirate.`
+This should be interesting...
+
+To use the **OpenAI** component, you have two options for providing your OpenAI API Key: directly passing it to the component or creating an environment variable. For better security and manageability, creating an environment variable is recommended. Here's how to set it up:
+
+In the **OpenAI API Key** field, click the **Globe** button to access environment variables, and then click **Add New Variable**.
+
+1.  In the **Variable Name** field, enter `openai_api_key`.
+2.  In the **Value** field, paste your OpenAI API Key (`sk-...`).
+3.  Click **Save Variable**.
+
+By creating an environment variable, you keep your API key secure and make it easier to manage across different components or projects.
+
+## Run the basic prompting flow
+
+1. Click the **Playground** button. This where you can interact with your bot.
+2. Type any message and press Enter.
+   And... Ahoy! 🏴‍☠️
+   The bot responds in a piratical manner!
+
+## Modify the prompt for a different result
+
+1. To modify your prompt results, in the **Prompt** template, click the **Template** field.
+   The **Edit Prompt** window opens.
+2. Change `Answer the user as if you were a pirate` to a different character, perhaps `Answer the user as if you were Harold Abelson.`
+3. Run the basic prompting flow again.
+   The response will be markedly different.
+
+## Next steps
+
+Well done! You've built your first prompt in Langflow. 🎉
+
+By dragging Langflow components to your workspace, you can create all sorts of interesting behaviors. Here are a couple of examples:
+
+- [Memory Chatbot](/starter-projects/memory-chatbot)
+- [Blog Writer](/starter-projects/blog-writer)
+- [Document QA](/starter-projects/document-qa)
diff --git a/docs/docs/getting-started/rag-with-astradb.mdx b/docs/docs/getting-started/rag-with-astradb.mdx
new file mode 100644
index 00000000000..015f50f3dbf
--- /dev/null
+++ b/docs/docs/getting-started/rag-with-astradb.mdx
@@ -0,0 +1,194 @@
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+import Admonition from "@theme/Admonition";
+
+# 🌟 RAG with Astra DB
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+This guide will walk you through how to build a RAG (Retrieval Augmented Generation) application using **Astra DB** and **Langflow**.
+
+[Astra DB](https://www.datastax.com/products/datastax-astra?utm_source=langflow-pre-release&utm_medium=referral&utm_campaign=langflow-announcement&utm_content=astradb) is a cloud-native database built on Apache Cassandra that is optimized for the cloud. It is a fully managed database-as-a-service that simplifies operations and reduces costs. Astra DB is built on the same technology that powers the largest Cassandra deployments in the world.
+
+In this guide, we will use Astra DB as a vector store to store and retrieve the documents that will be used by the RAG application to generate responses.
+
+<Admonition type="tip">
+  This guide assumes that you have Langflow up and running. If you are new to
+  Langflow, you can check out the [Getting Started](/) guide.
+</Admonition>
+
+TLDR;
+
+- [Create a free Astra DB account](https://astra.datastax.com/signup?utm_source=langflow-pre-release&utm_medium=referral&utm_campaign=langflow-announcement&utm_content=create-a-free-astra-db-account)
+- Create a new database, get a **Token** and the **API Endpoint**
+- Start Langflow and click on the **New Project** button and look for Vector Store RAG. This will create a new project with the necessary components
+- Import the project into Langflow by dropping it on the Workspace or My Collection page
+- Update the **Token** and **API Endpoint** in the **Astra DB** components
+- Update the OpenAI API key in the **OpenAI** components
+- Run the ingestion flow which is the one that uses the **Astra DB** component
+- Click on the ⚡ _Run_ button and start interacting with your RAG application
+
+# First things first
+
+## Create an Astra DB Database
+
+To get started, you will need to [create an Astra DB database](https://astra.datastax.com/signup?utm_source=langflow-pre-release&utm_medium=referral&utm_campaign=langflow-announcement&utm_content=create-an-astradb-database).
+
+Once you have created an account, you will be taken to the Astra DB dashboard. Click on the **Create Database** button.
+
+<ZoomableImage
+  alt="Docusaurus themed image"
+  sources={{
+    light: "img/astra-create-database.png",
+    dark: "img/astra-create-database.png",
+  }}
+  style={{ width: "80%", margin: "20px auto" }}
+/>
+
+Now you will need to configure your database. Choose the **Serverless (Vector)** deployment type, and pick a Database name, provider and region.
+
+After you have configured your database, click on the **Create Database** button.
+
+<ZoomableImage
+  alt="Docusaurus themed image"
+  sources={{
+    light: "img/astra-configure-deployment.png",
+    dark: "img/astra-configure-deployment.png",
+  }}
+  style={{ width: "80%", margin: "20px auto" }}
+/>
+
+Once your database is initialized, to the right of the page, you will see the _Database Details_ section which contains a button for you to copy the **API Endpoint** and another to generate a **Token**.
+
+<ZoomableImage
+  alt="Docusaurus themed image"
+  sources={{
+    light: "img/astra-generate-token.png",
+    dark: "img/astra-generate-token.png",
+  }}
+  style={{ width: "50%", margin: "20px auto" }}
+/>
+
+Now we are all set to start building our RAG application using Astra DB and Langflow.
+
+## Open the Vector Store RAG Project
+
+To get started, click on the **New Project** button and look for the **Vector Store RAG** project. This will open a starter project with the necessary components to run a RAG application using Astra DB.
+
+<ZoomableImage
+  alt="Drag-and-drop"
+  sources={{
+    light: "img/drag-and-drop-flow.png",
+    dark: "img/drag-and-drop-flow.png",
+  }}
+  style={{ width: "80%", margin: "20px auto" }}
+/>
+
+This project consists of two flows. The simpler one is the **Ingestion Flow** which is responsible for ingesting the documents into the Astra DB database.
+
+Your first step should be to understand what each flow does and how they interact with each other.
+
+The ingestion flow consists of:
+
+- **Files** component that uploads a text file to Langflow
+- **Recursive Character Text Splitter** component that splits the text into smaller chunks
+- **OpenAIEmbeddings** component that generates embeddings for the text chunks
+- **Astra DB** component that stores the text chunks in the Astra DB database
+
+<ZoomableImage
+  alt="Astra Ingestion"
+  sources={{
+    light: "img/astra-ingestion-flow.png",
+    dark: "img/astra-ingestion-flow.png",
+  }}
+  style={{ width: "80%", margin: "20px auto" }}
+/>
+
+Now, let's update the **Astra DB** and **Astra DB Search** components with the **Token** and **API Endpoint** that we generated earlier, and the OpenAI Embeddings components with your OpenAI API key.
+
+<ZoomableImage
+  alt="Docusaurus themed image"
+  sources={{
+    light: "img/astra-ingestion-fields.png",
+    dark: "img/astra-ingestion-fields.png",
+  }}
+  style={{ width: "80%", margin: "20px auto" }}
+/>
+
+And run it! This will ingest the Text data from your file into the Astra DB database.
+
+<ZoomableImage
+  alt="Astra Run"
+  sources={{
+    light: "img/astra-ingestion-run.png",
+    dark: "img/astra-ingestion-run.png",
+  }}
+  style={{ width: "80%", margin: "20px auto" }}
+/>
+
+Now, on to the **RAG Flow**. This flow is responsible for generating responses to your queries. It will define all of the steps from getting the User's input to generating a response and displaying it in the Playground.
+
+The RAG flow is a bit more complex. It consists of:
+
+- **Chat Input** component that defines where to put the user input coming from the Playground
+- **OpenAI Embeddings** component that generates embeddings from the user input
+- **Astra DB Search** component that retrieves the most relevant Data from the Astra DB database
+- **Text Output** component that turns the Data into Text by concatenating them and also displays it in the Playground
+  - One interesting point you'll see here is that this component is named `Extracted Chunks`, and that is how it will appear in the Playground
+- **Prompt** component that takes in the user input and the retrieved Data as text and builds a prompt for the OpenAI model
+- **OpenAI** component that generates a response to the prompt
+- **Chat Output** component that displays the response in the Playground
+
+<ZoomableImage
+  alt="Docusaurus themed image"
+  sources={{
+    light: "img/astra-rag-flow.png",
+    dark: "img/astra-rag-flow.png",
+  }}
+  style={{ width: "80%", margin: "20px auto" }}
+/>
+
+To run it all we have to do is click on the ⚡ _Run_ button and start interacting with your RAG application.
+
+<ZoomableImage
+  alt="Astra RAG"
+  sources={{
+    light: "img/astra-rag-flow-run.png",
+    dark: "img/astra-rag-flow-run.png",
+  }}
+  style={{ width: "80%", margin: "20px auto" }}
+/>
+
+This opens the Playground where you can chat your data.
+
+Because this flow has a **Chat Input** and a **Text Output** component, the Panel displays a chat input at the bottom and the Extracted Chunks section on the left.
+
+<ZoomableImage
+  alt="Playground"
+  sources={{
+    light: "img/astra-rag-flow-interaction-panel.png",
+    dark: "img/astra-rag-flow-interaction-panel.png",
+  }}
+  style={{ width: "80%", margin: "20px auto" }}
+/>
+
+Once we interact with it we get a response and the Extracted Chunks section is updated with the retrieved data.
+
+<ZoomableImage
+  alt="Astra Playground"
+  sources={{
+    light: "img/astra-rag-flow-interaction-panel-interaction.png",
+    dark: "img/astra-rag-flow-interaction-panel-interaction.png",
+  }}
+  style={{ width: "80%", margin: "20px auto" }}
+/>
+
+And that's it! You have successfully ran a RAG application using Astra DB and Langflow.
+
+# Conclusion
+
+In this guide, we have learned how to run a RAG application using Astra DB and Langflow.
+We have seen how to create an Astra DB database, import the Astra DB RAG Flows project into Langflow, and run the ingestion and RAG flows.
diff --git a/docs/docs/getting-started/workspace.mdx b/docs/docs/getting-started/workspace.mdx
new file mode 100644
index 00000000000..e6951a5e1c1
--- /dev/null
+++ b/docs/docs/getting-started/workspace.mdx
@@ -0,0 +1,279 @@
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+import ReactPlayer from "react-player";
+import Admonition from "@theme/Admonition";
+
+# 🎨 Langflow Workspace
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+## The Langflow Workspace Interface
+
+The **Langflow Workspace** is where you assemble new flows and create AIs by connecting and running components. To get started, click on **New Project**. You can either build a flow from scratch (Blank Flow) or choose from pre-built starter examples.
+
+### Sidebar Menu
+
+Located on the left, this menu includes several collapsible sections that categorize the different types of pre-built components available in Langflow.
+
+### Workspace Area
+
+The large central area where users can visually assemble and connect components to create flows.
+
+## Top Navigation Bar
+
+- **Project Options**: Indicates the name of the current project or document. Clicking here allows users to rename the project or access project settings.
+- **My Collection**: Provides access to saved or user-defined collections of components or flows.
+- **Store**: Opens the component store where users can browse and add new components to their workspace.
+
+In the top navigation bar, the dropdown menu labeled with the project name offers several management and customization options for the current flow in the Langflow Workspace.
+
+<ZoomableImage
+  alt="Options Dropdown"
+  sources={{
+    light: useBaseUrl("img/menu-options.png"),
+    dark: useBaseUrl("img/menu-options.png"),
+  }}
+  style={{ width: "100%", margin: "20px auto" }}
+/>
+
+- **New**: Create a new flow from scratch.
+
+- **Settings**: Adjust settings specific to the current flow, such as its Name, Description, and Endpoint Name.
+
+- **Logs**: View logs for the current project, including execution history, errors, and other runtime events.
+
+- **Import**: Import a flow or component from a JSON file into the Workspace.
+
+- **Export**: Export the current flow as a JSON file.
+
+- **Undo (⌘Z)**: Revert the last action taken in the project.
+
+- **Redo (⌘Y)**: Reapply a previously undone action.
+
+- **Refresh All**: Refresh all components and delete cache.
+
+## Control Panel
+
+- **Playground**: Button that executes the current flow in the workspace.
+- **API**: Provides API access details and integration options for the current flow.
+- **Share**: Allows users to share their AI with others.
+
+## Flows & Components
+
+A [flow](#flow) is a pipeline of components connected together in the Langflow Workspace.
+
+A [component](#component) is a single building block within a flow. It has inputs, outputs, and parameters that define its functionality.
+
+For example, the **OpenAI Model** is a **component** of the **Basic Prompting** flow.
+
+## Flow
+
+A **Flow** is a sequence of components that are connected to perform a series of operations or tasks. Each flow is essentially a pipeline where data functions travel through various components, each modifying or analyzing the data according to its specific functionality.
+
+For example, the [Basic Prompting](../starter-projects/basic-prompting) flow is a pipeline of four components:
+
+<ZoomableImage
+  alt="Basic Prompting Flow"
+  sources={{
+    light: useBaseUrl("img/basic-prompting.png"),
+    dark: useBaseUrl("img/basic-prompting.png"),
+  }}
+  style={{ width: "100%", maxWidth: "800px", margin: "20px auto" }}
+/>
+
+{" "}
+
+In this flow, the **OpenAI Model** receives input (left side) and produces output (right side) - in this case, receiving input from the **Chat Input** and **Prompt** components and passing the output to the **Chat Output** component.
+
+## Component
+
+Components are the building blocks of flows. They consist of inputs, outputs, and parameters that define their functionality. These elements provide a convenient and straightforward way to compose LLM-based applications. Learn more about components and how they work below.
+
+<div style={{ marginBottom: "20px" }}>
+  During the flow creation process, you will notice handles (colored circles)
+  attached to one or both sides of a component. These handles use distinct
+  colors to indicate the types of inputs and outputs that can be interconnected.
+  Hover over a handle to see connection details.
+</div>
+
+{" "}
+
+<ZoomableImage
+  alt="Single Component"
+  sources={{
+    light: useBaseUrl("img/single-component.png"),
+    dark: useBaseUrl("img/single-component.png"),
+  }}
+  style={{ width: "100%", margin: "20px auto" }}
+/>
+
+{/* <div style={{ marginBottom: "20px" }}> */}
+
+On the top right corner of the component, you'll find the a play button to run a component. Once it runs, a status icon appears and you can hover over that to visualize success or error messages.
+
+Start interacting with your AI by clicking the **![Playground icon](/logos/botmessage.svg)Playground** at the bottom right of the workspace.
+
+### Output Preview
+
+Langflow includes an output visualizer for components that opens a pop-up screen. This allows you to easily inspect and monitor transmissions between components, providing instant feedback on your workflows.
+
+<ZoomableImage
+  alt="Single Component"
+  sources={{
+    light: useBaseUrl("img/inspect-output.png"),
+    dark: useBaseUrl("img/inspect-output.png"),
+  }}
+  style={{ width: "60%", margin: "20px auto" }}
+/>
+
+### Component Menu
+
+Each component is a little unique, but they will all have a menu bar on top that looks something like this.
+
+<ZoomableImage
+  alt="Component Menu"
+  sources={{
+    light: useBaseUrl("img/component-menu.png"),
+    dark: useBaseUrl("img/component-menu.png"),
+  }}
+  style={{ width: "70%", margin: "10px auto" }}
+/>
+
+It consists of options such as:
+
+**Code** - displays component's Python code. You can modify the code and save it.
+
+**Advanced** - See and adjust all parameters of a component.
+
+**Freeze** - After a component runs, lock its previous output state to prevent it from re-running.
+
+Click **All** (the "..." button) to see all options.
+
+<div
+  style={{ marginBottom: "20px", display: "flex", justifyContent: "center" }}
+>
+  <ReactPlayer playing controls url="/videos/langflow_parameters.mp4" />
+</div>
+
+### Advanced Settings
+
+Langflow components can be edited by clicking the **Advanced Settings** button.
+
+<div
+  style={{
+    marginBottom: "30px",
+    marginTop: "30px",
+    display: "flex",
+    justifyContent: "center",
+  }}
+>
+  <ReactPlayer playing controls url="/videos/langflow_parameters.mp4" />
+</div>
+
+Hide parameters with the **SHOW** button to reduce complexity and keep the workspace clean and intuitive for experimentation.
+
+You can also double-click a component's name and description to modify those. Component descriptions accept markdown syntax.
+
+### Group Components
+
+Multiple components can be grouped into a single component for reuse. This is useful when combining large flows into single components (like RAG with a vector database, for example) and saving space.
+
+1. Hold **Shift** and drag to select components.
+2. Select **Group**.
+3. The components merge into a single component.
+4. Double click name and description to change them.
+5. Save your grouped component to in the sidebar for later use!
+
+### Update component version
+
+A component's state is stored in a database, while sidebar components are like starter templates.
+
+As soon as you drag a component from the sidebar to the workspace, the two components are no longer in parity.
+
+The component will keep the version number it was initilized to the workspace with. Click the **Update Component** icon (exclamation mark) to bring the component up to the `latest` version. This will change the code of the component in place so you can validate that the component was updated by checking its Python code before and after updating it.
+
+<ZoomableImage
+  alt="Update Component"
+  sources={{
+    light: useBaseUrl("img/component-update.png"),
+    dark: useBaseUrl("img/component-update.png"),
+  }}
+  style={{ width: "80%", margin: "20px auto" }}
+/>
+
+## Playground
+
+Run your AI by clicking the **![Playground icon](/logos/botmessage.svg)Playground** button.
+
+For more, see [Playground](../administration/playground).
+
+## API
+
+{/* rsn */}
+The **API** session presents code templates for integrating your flow into external applications.
+
+{/* Modify parameters in the **Tweaks** window, click **Copy Code** or **Download** buttons, and paste your code where you want to use it. */}
+
+<ZoomableImage
+  alt="Docusaurus themed image"
+  sources={{
+    light: useBaseUrl("img/api-window.png"),
+    dark: useBaseUrl("img/api-window.png"),
+  }}
+  style={{ width: "60%", margin: "20px auto" }}
+/>
+
+### cURL
+
+The **cURL** tab displays sample code for posting a query to your flow.
+Modify the `input_value` to change your input message.
+Copy the code and run it to post a query to your flow and get the result.
+
+```bash
+curl -X POST \
+  http://127.0.0.1:7863/api/v1/run/f2eefd80-bb91-4190-9279-0d6ffafeaac4\?stream\=false \
+  -H 'Content-Type: application/json'\
+  -d '{"input_value": "is anybody there?",
+  "output_type": "chat",
+  "input_type": "chat",
+  "tweaks": {
+  "Prompt-uxBqP": {},
+  "OpenAIModel-k39HS": {},
+  "ChatOutput-njtka": {},
+  "ChatInput-P3fgL": {}
+}}'
+```
+
+Result:
+
+```
+{"session_id":"f2eefd80-bb91-4190-9279-0d6ffafeaac4:53856a772b8e1cfcb3dd2e71576b5215399e95bae318d3c02101c81b7c252da3","outputs":[{"inputs":{"input_value":"is anybody there?"},"outputs":[{"results":{"result":"Arrr, me hearties! Aye, this be Captain [Your Name] speakin'. What be ye needin', matey?"},"artifacts":{"message":"Arrr, me hearties! Aye, this be Captain [Your Name] speakin'. What be ye needin', matey?","sender":"Machine","sender_name":"AI"},"messages":[{"message":"Arrr, me hearties! Aye, this be Captain [Your Name] speakin'. What be ye needin', matey?","sender":"Machine","sender_name":"AI","component_id":"ChatOutput-njtka"}],"component_display_name":"Chat Output","component_id":"ChatOutput-njtka"}]}]}%
+```
+
+### Python API
+
+The **Python API** tab displays code to interact with your flow using the Python HTTP requests library.
+
+### Python Code
+
+The **Python Code** tab displays code to interact with your flow's `.json` file using the Langflow runtime.
+
+### Chat Widget HTML
+
+The **Chat Widget HTML** tab displays code that can be inserted in the `<body>` of your HTML to interact with your flow.
+For more, see the [Chat widget documentation](../administration/chat-widget).
+
+### Tweaks
+
+The **Tweaks** tab displays the available parameters for your flow.
+Modifying the parameters changes the code parameters across all windows.
+For example, changing the **Chat Input** component's `input_value` will change that value across all API calls.
+
+<div
+  style={{ marginBottom: "20px", display: "flex", justifyContent: "center" }}
+>
+  <ReactPlayer playing controls url="/videos/langflow_api.mp4" />
+</div>
diff --git a/docs/docs/guidelines/api.mdx b/docs/docs/guidelines/api.mdx
deleted file mode 100644
index 8bba633fb4b..00000000000
--- a/docs/docs/guidelines/api.mdx
+++ /dev/null
@@ -1,148 +0,0 @@
-import useBaseUrl from "@docusaurus/useBaseUrl";
-import ZoomableImage from "/src/theme/ZoomableImage.js";
-
-# API Keys
-
-## Introduction
-
-Langflow offers an API Key functionality that allows users to access their individual components and flows without going through traditional login authentication. The API Key is a user-specific token that can be included in the request's header or query parameter to authenticate API calls. The following documentation outlines how to generate, use, and manage these API Keys in Langflow.
-
-## Generating an API Key
-
-### Through Langflow UI
-
-{/* add image img/api-key.png */}
-
-<ZoomableImage
-  alt="Docusaurus themed image"
-  sources={{
-    light: useBaseUrl("img/api-key.png"),
-    dark: useBaseUrl("img/api-key.png"),
-  }}
-  style={{ width: "50%", maxWidth: "600px", margin: "0 auto" }}
-/>
-
-1. Click on the "API Key" icon.
-2. Click on "Create new secret key".
-3. Give it an optional name.
-4. Click on "Create secret key".
-5. Copy the API key and store it in a secure location.
-
-## Using the API Key
-
-### Using the `x-api-key` Header
-
-Include the `x-api-key` in the HTTP header when making API requests:
-
-```bash
-curl -X POST \
-  http://localhost:3000/api/v1/process/<your_flow_id> \
-  -H 'Content-Type: application/json'\
-  -H 'x-api-key: <your api key>'\
-  -d '{"inputs": {"text":""}, "tweaks": {}}'
-```
-
-With Python using `requests`:
-
-```python
-import requests
-from typing import Optional
-
-BASE_API_URL = "http://localhost:3001/api/v1/process"
-FLOW_ID = "4441b773-0724-434e-9cee-19d995d8f2df"
-# You can tweak the flow by adding a tweaks dictionary
-# e.g {"OpenAI-XXXXX": {"model_name": "gpt-4"}}
-TWEAKS = {}
-
-def run_flow(inputs: dict,
-            flow_id: str,
-            tweaks: Optional[dict] = None,
-            apiKey: Optional[str] = None) -> dict:
-    """
-    Run a flow with a given message and optional tweaks.
-
-    :param message: The message to send to the flow
-    :param flow_id: The ID of the flow to run
-    :param tweaks: Optional tweaks to customize the flow
-    :return: The JSON response from the flow
-    """
-    api_url = f"{BASE_API_URL}/{flow_id}"
-
-    payload = {"inputs": inputs}
-    headers = {}
-
-    if tweaks:
-        payload["tweaks"] = tweaks
-    if apiKey:
-        headers = {"x-api-key": apiKey}
-
-    response = requests.post(api_url, json=payload, headers=headers)
-    return response.json()
-
-# Setup any tweaks you want to apply to the flow
-inputs = {"text":""}
-api_key = "<your api key>"
-print(run_flow(inputs, flow_id=FLOW_ID, tweaks=TWEAKS, apiKey=api_key))
-```
-
-### Using the Query Parameter
-
-Alternatively, you can include the API key as a query parameter in the URL:
-
-```bash
-curl -X POST \
-  http://localhost:3000/api/v1/process/<your_flow_id>?x-api-key=<your_api_key> \
-  -H 'Content-Type: application/json'\
-  -d '{"inputs": {"text":""}, "tweaks": {}}'
-```
-
-Or with Python:
-
-```python
-import requests
-
-BASE_API_URL = "http://localhost:3001/api/v1/process"
-FLOW_ID = "4441b773-0724-434e-9cee-19d995d8f2df"
-# You can tweak the flow by adding a tweaks dictionary
-# e.g {"OpenAI-XXXXX": {"model_name": "gpt-4"}}
-TWEAKS = {}
-
-def run_flow(inputs: dict,
-            flow_id: str,
-            tweaks: Optional[dict] = None,
-            apiKey: Optional[str] = None) -> dict:
-    """
-    Run a flow with a given message and optional tweaks.
-
-    :param message: The message to send to the flow
-    :param flow_id: The ID of the flow to run
-    :param tweaks: Optional tweaks to customize the flow
-    :return: The JSON response from the flow
-    """
-    api_url = f"{BASE_API_URL}/{flow_id}"
-
-    payload = {"inputs": inputs}
-    headers = {}
-
-    if tweaks:
-        payload["tweaks"] = tweaks
-    if apiKey:
-        api_url += f"?x-api-key={apiKey}"
-
-    response = requests.post(api_url, json=payload, headers=headers)
-    return response.json()
-
-# Setup any tweaks you want to apply to the flow
-inputs = {"text":""}
-api_key = "<your api key>"
-print(run_flow(inputs, flow_id=FLOW_ID, tweaks=TWEAKS, apiKey=api_key))
-```
-
-## Security Considerations
-
-- **Visibility**: The API key won't be retrievable again through the UI for security reasons.
-- **Scope**: The key only allows access to the flows and components of the specific user to whom it was issued.
-
-## Revoking an API Key
-
-To revoke an API key, simply delete it from the UI. This will immediately invalidate the key and prevent it from being used again.
diff --git a/docs/docs/guidelines/async-api.mdx b/docs/docs/guidelines/async-api.mdx
deleted file mode 100644
index c5473812ec4..00000000000
--- a/docs/docs/guidelines/async-api.mdx
+++ /dev/null
@@ -1,73 +0,0 @@
-import Admonition from "@theme/Admonition";
-
-# Asynchronous Processing
-
-## Introduction
-
-Starting from version 0.5, Langflow introduces a new feature to its API: the _`sync`_ flag. This flag allows users to opt for asynchronous processing of their flows, freeing up resources and enabling better control over long-running tasks.
-This feature supports running tasks in a Celery worker queue and AnyIO task groups for now.
-
-<Admonition type="warning" caption="Experimental Feature">
-  This is an experimental feature. The default behavior of the API is still
-  synchronous processing. The API may change in the future.
-</Admonition>
-
-## The _`sync`_ Flag
-
-The _`sync`_ flag can be included in the payload of your POST request to the _`/api/v1/process/<your_flow_id>`_ endpoint.
-When set to _`false`_, the API will initiate an asynchronous task instead of processing the flow synchronously.
-
-### API Request with _`sync`_ flag
-
-```bash
-curl -X POST \
-  http://localhost:3000/api/v1/process/<your_flow_id> \
-  -H 'Content-Type: application/json' \
-  -H 'x-api-key: <your_api_key>' \
-  -d '{"inputs": {"text": ""}, "tweaks": {}, "sync": false}'
-```
-
-Response:
-
-```json
-{
-  "result": {
-    "output": "..."
-  },
-  "task": {
-    "id": "...",
-    "href": "api/v1/task/<task_id>"
-  },
-  "session_id": "...",
-  "backend": "..." // celery or anyio
-}
-```
-
-## Checking Task Status
-
-You can check the status of an asynchronous task by making a GET request to the `/task/{task_id}` endpoint.
-
-```bash
-curl -X GET \
-  http://localhost:3000/api/v1/task/<task_id> \
-  -H 'x-api-key: <your_api_key>'
-```
-
-### Response
-
-The endpoint will return the current status of the task and, if completed, the result of the task. Possible statuses include:
-
-- _`PENDING`_: The task is waiting for execution.
-- _`SUCCESS`_: The task has completed successfully.
-- _`FAILURE`_: The task has failed.
-
-Example response for a completed task:
-
-```json
-{
-  "status": "SUCCESS",
-  "result": {
-    "output": "..."
-  }
-}
-```
diff --git a/docs/docs/guidelines/chat-interface.mdx b/docs/docs/guidelines/chat-interface.mdx
deleted file mode 100644
index 5da5d464735..00000000000
--- a/docs/docs/guidelines/chat-interface.mdx
+++ /dev/null
@@ -1,56 +0,0 @@
-import ThemedImage from "@theme/ThemedImage";
-import useBaseUrl from "@docusaurus/useBaseUrl";
-import ZoomableImage from "/src/theme/ZoomableImage.js";
-import ReactPlayer from "react-player";
-
-# Chat Interface
-
-Langflow’s chat interface provides a user-friendly experience and functionality to interact with the model and customize the prompt. The sidebar brings options that allow users to view and edit pre-defined prompt variables. This feature facilitates quick experimentation by enabling the modification of variable values right in the chat.
-
-{" "}
-
-<ZoomableImage
-  alt="Docusaurus themed image"
-  sources={{
-    light: useBaseUrl("img/chat_interface.png"),
-    dark: useBaseUrl("img/chat_interface.png"),
-  }}
-  style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }}
-/>
-
-Notice that editing variables in the chat interface take place temporarily and won’t change their original value in the components once the chat is closed.
-
-{" "}
-
-<ZoomableImage
-  alt="Docusaurus themed image"
-  sources={{
-    light: useBaseUrl("img/chat_interface2.png"),
-    dark: useBaseUrl("img/chat_interface2.png"),
-  }}
-  style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }}
-/>
-
-To view the complete prompt in its original, structured format, click the "Display Prompt" option. This feature lets you see the prompt exactly as it entered the model.
-
-{" "}
-<ZoomableImage
-  alt="Docusaurus themed image"
-  sources={{
-    light: useBaseUrl("img/chat_interface3.png"),
-    dark: useBaseUrl("img/chat_interface3.png"),
-  }}
-  style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }}
-/>
-
-In the chat interface, you can redefine which variable should be interpreted as the chat input. This gives you control over these inputs and allows dynamic and creative interactions.
-
-{" "}
-<ZoomableImage
-  alt="Docusaurus themed image"
-  sources={{
-    light: useBaseUrl("img/chat_interface4.png"),
-    dark: useBaseUrl("img/chat_interface4.png"),
-  }}
-  style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }}
-/>
diff --git a/docs/docs/guidelines/collection.mdx b/docs/docs/guidelines/collection.mdx
deleted file mode 100644
index c0616b2e20e..00000000000
--- a/docs/docs/guidelines/collection.mdx
+++ /dev/null
@@ -1,13 +0,0 @@
-import ThemedImage from '@theme/ThemedImage';
-import useBaseUrl from '@docusaurus/useBaseUrl';
-import ZoomableImage from '/src/theme/ZoomableImage.js';
-import ReactPlayer from 'react-player';
-
-# Collection
-
-A collection is a snapshot of the flows available in the database. You can download your entire collection for local storage and upload it anytime for future use.
-
-<div style={{ marginBottom: '20px', display: 'flex', justifyContent: 'center' }}>
-<ReactPlayer playing controls url='/videos/langflow_collection.mp4'
-  />
-</div>
diff --git a/docs/docs/guidelines/components.mdx b/docs/docs/guidelines/components.mdx
deleted file mode 100644
index 32ec006153e..00000000000
--- a/docs/docs/guidelines/components.mdx
+++ /dev/null
@@ -1,57 +0,0 @@
-import ThemedImage from "@theme/ThemedImage";
-import useBaseUrl from "@docusaurus/useBaseUrl";
-import ZoomableImage from "/src/theme/ZoomableImage.js";
-import ReactPlayer from "react-player";
-
-# Component
-
-Components are the building blocks of the flows. They are made of inputs, outputs, and parameters that define their functionality, providing a convenient and straightforward way to compose LLM-based applications. Learn more about components and how they work in the LangChain [documentation](https://python.langchain.com/docs/integrations/components) section.
-
-### Component's Features
-
-<div style={{ marginBottom: "20px" }}>
-  During the flow creation process, you will notice handles (colored circles)
-  attached to one or both sides of a component. These handles represent the
-  availability to connect to other components, while their colors are type hints
-  (hover over a handle to see connection details).
-</div>
-
-<div style={{ marginBottom: "20px" }}>
-  For example, if you select a <code>ConversationChain</code> component, you
-  will see orange <span style={{ color: "orange" }}>o</span> and purple{" "}
-  <span style={{ color: "purple" }}>o</span> input handles. They indicate that
-  this component accepts an LLM and a Memory component as inputs. The red
-  asterisk <span style={{ color: "red" }}>*</span> means that at least one input
-  of that type is required.
-</div>
-
-{" "}
-<ZoomableImage
-  alt="Docusaurus themed image"
-  sources={{
-    light: useBaseUrl("img/single-compenent.png"),
-    dark: useBaseUrl("img/single-compenent.png"),
-  }}
-  style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }}
-/>
-
-<div style={{ marginBottom: "20px" }}>
-  On the top right corner, you will find the component status icon 🔴. Make the
-  necessary connections, build the flow (⚡ zap icon on the bottom right of the
-  canvas) and once the validation is completed, the status of each validated
-  component should light green 🟢. Hover over the component status to reveal the
-  outputs going through it in case of success, or the detected error in case of
-  failure.
-</div>
-
----
-
-### Component's Parameters
-
-Langflow components can be edited in the component settings button. Hide parameters to reduce complexity and keep the canvas clean and intuitive for experimentation.
-
-<div
-  style={{ marginBottom: "20px", display: "flex", justifyContent: "center" }}
->
-  <ReactPlayer playing controls url="/videos/langflow_parameters.mp4" />
-</div>
diff --git a/docs/docs/guidelines/custom-component.mdx b/docs/docs/guidelines/custom-component.mdx
deleted file mode 100644
index 99106d4005a..00000000000
--- a/docs/docs/guidelines/custom-component.mdx
+++ /dev/null
@@ -1,409 +0,0 @@
----
-description: Custom Components
-hide_table_of_contents: true
----
-
-import ZoomableImage from "/src/theme/ZoomableImage.js";
-import Admonition from "@theme/Admonition";
-
-# Custom Components
-
-In Langflow, a Custom Component is a special component type that allows users to extend the platform's functionality by creating their own reusable and configurable components.
-
-A Custom Component is created from a user-defined Python script that uses the _`CustomComponent`_ class provided by the Langflow library. These components can be as simple as a basic function that takes and returns a string or as complex as a combination of multiple sub-components and API calls.
-
-Let's take a look at the basic rules and features. Then we'll go over an example.
-
-## TL;DR
-
-- Create a class that inherits from _`CustomComponent`_ and contains a _`build`_ method.
-- Use arguments with [Type Annotations (or Type Hints)](https://docs.python.org/3/library/typing.html) of the _`build`_ method to create component fields.
-- Use the _`build_config`_ method to customize how these fields look and behave.
-- Set up a folder with your components to load them up in Langflow's sidebar.
-
-Here is an example:
-
-<div style={{
-        display: "flex",
-        justifyContent: "center",
-    }}>
-    <CH.Code linuNumbers={false}>
-
-```python
-from langflow import CustomComponent
-from langchain.schema import Document
-
-class DocumentProcessor(CustomComponent):
-    display_name = "Document Processor"
-    description = "This component processes a document"
-
-    def build_config(self) -> dict:
-        options = ["Uppercase", "Lowercase", "Titlecase"]
-        return {
-            "function": {"options": options,
-                    "value": options[0]}}
-
-    def build(self, document: Document, function: str) -> Document:
-        if isinstance(document, list):
-            document = document[0]
-        page_content = document.page_content
-        if function == "Uppercase":
-            page_content = page_content.upper()
-        elif function == "Lowercase":
-            page_content = page_content.lower()
-        elif function == "Titlecase":
-            page_content = page_content.title()
-        self.repr_value = f"Result of {function} function: {page_content}"
-        return Document(page_content=page_content)
-```
-
-    </CH.Code>
-
-    <ZoomableImage
-    alt="Document Processor Component"
-    sources={{
-        light: "img/document_processor.png",
-        dark: "img/document_processor.png",
-    }}
-    style={{
-        margin: "0 auto",
-        display: "flex",
-        justifyContent: "center",
-    }}
-    />
-
-</div>
-
-<Admonition type="tip">
-  Check out [FlowRunner Component](../examples/flow-runner) for a more complex
-  example.
-</Admonition>
-
----
-
-## Rules
-
-The Python script for every Custom Component should follow a set of rules. Let's go over them one by one:
-
-<CH.Scrollycoding rows={20} className={""}>
-
-### Rule 1
-
-The script must contain a **single class** that inherits from _`CustomComponent`_.
-
-```python
-from langflow import CustomComponent
-from langchain.schema import Document
-
-class MyComponent(CustomComponent):
-    display_name = "Custom Component"
-    description = "This is a custom component"
-
-    def build_config(self) -> dict:
-        ...
-
-    def build(self, document: Document, function: str) -> Document:
-        ...
-```
-
----
-
-### Rule 2
-
-This class requires a _`build`_ method used to run the component and define its fields.
-
-```python
-from langflow import CustomComponent
-from langchain.schema import Document
-
-class MyComponent(CustomComponent):
-    display_name = "Custom Component"
-    description = "This is a custom component"
-
-    def build_config(self) -> dict:
-        ...
-
-    # focus
-    # mark
-    def build(self) -> Document:
-        ...
-```
-
----
-
-The [Return Type Annotation](https://docs.python.org/3/library/typing.html) of the _`build`_ method defines the component type (e.g., Chain, BaseLLM, or basic Python types). Check out all supported types in the [component reference](../components/custom).
-
-```python
-from langflow import CustomComponent
-from langchain.schema import Document
-
-class MyComponent(CustomComponent):
-    display_name = "Custom Component"
-    description = "This is a custom component"
-
-    def build_config(self) -> dict:
-        ...
-
-    # focus[20:31]
-    # mark
-    def build(self) -> Document:
-        ...
-```
-
----
-
-```python
-from langflow import CustomComponent
-from langchain.schema import Document
-
-class MyComponent(CustomComponent):
-    display_name = "Custom Component"
-    description = "This is a custom component"
-
-    def build_config(self) -> dict:
-        ...
-
-    def build(self) -> Document:
-        ...
-```
-
-### Rule 3
-
-The class can have a [_`build_config`_](focus://8) method, which defines configuration fields for the component. The [_`build_config`_](focus://8) method should always return a dictionary with specific keys representing the field names and their corresponding configurations. It must follow the format described below:
-
-- Top-level keys are field names.
-- Their values are also of type _`dict`_. They specify the behavior of the generated fields.
-
-Check out the [component reference](../components/custom) for more details on the available field configurations.
-
----
-
-```python
-from langflow import CustomComponent
-from langchain.schema import Document
-
-class MyComponent(CustomComponent):
-    display_name = "Custom Component"
-    description = "This is a custom component"
-
-    def build_config(self) -> dict:
-        ...
-
-    def build(self) -> Document:
-        ...
-```
-
-## Example
-
-Let's create a custom component that processes a document (_`langchain.schema.Document`_) using a simple function.
-
----
-
-### Pick a display name
-
-To start, let's choose a name for our component by adding a _`display_name`_ attribute. This name will appear on the canvas. The name of the class is not relevant, but let's call it _`DocumentProcessor`_.
-
-```python
-from langflow import CustomComponent
-from langchain.schema import Document
-
-# focus
-class DocumentProcessor(CustomComponent):
-    # focus
-    display_name = "Document Processor"
-    description = "This is a custom component"
-
-    def build_config(self) -> dict:
-        ...
-
-    def build(self) -> Document:
-        ...
-```
-
----
-
-### Write a description
-
-We can also write a description for it using a _`description`_ attribute.
-
-```python
-from langflow import CustomComponent
-from langchain.schema import Document
-
-class DocumentProcessor(CustomComponent):
-    display_name = "Document Processor"
-    description = "This component processes a document"
-
-    def build_config(self) -> dict:
-        ...
-
-    def build(self) -> Document:
-        ...
-```
-
----
-
-```python
-from langflow import CustomComponent
-from langchain.schema import Document
-
-class DocumentProcessor(CustomComponent):
-    display_name = "Document Processor"
-    description = "This component processes a document"
-
-    def build_config(self) -> dict:
-        ...
-
-    def build(self, document: Document, function: str) -> Document:
-        if isinstance(document, list):
-            document = document[0]
-        page_content = document.page_content
-        if function == "Uppercase":
-            page_content = page_content.upper()
-        elif function == "Lowercase":
-            page_content = page_content.lower()
-        elif function == "Titlecase":
-            page_content = page_content.title()
-        self.repr_value = f"Result of {function} function: {page_content}"
-        return Document(page_content=page_content)
-```
-
-### Add the build method
-
-Here, the build method takes two input parameters: _`document`_, representing the input document to be processed, and _`function`_, a string representing the selected text transformation to be applied (either "Uppercase," "Lowercase," or "Titlecase"). The method processes the text content of the input Document based on the selected function.
-
-The attribute _`repr_value`_ is used to display the result of the component on the canvas. It is optional and can be used to display any string value.
-
-The return type is _`Document`_.
-
----
-
-### Customize the component fields
-
-The _`build_config`_ method is here defined to customize the component fields.
-
-- _`options`_ determines that the field will be a dropdown menu. The list values and field type must be _`str`_.
-- _`value`_ is the default option of the dropdown menu.
-- _`display_name`_ is the name of the field to be displayed.
-
-```python
-from langflow import CustomComponent
-from langchain.schema import Document
-
-class DocumentProcessor(CustomComponent):
-    display_name = "Document Processor"
-    description = "This component processes a document"
-
-    def build_config(self) -> dict:
-        options = ["Uppercase", "Lowercase", "Titlecase"]
-        return {
-            "function": {"options": options,
-                     "value": options[0],
-                     "display_name": "Function"
-                        },
-            "document": {"display_name": "Document"}
-                }
-
-    def build(self, document: Document, function: str) -> Document:
-        if isinstance(document, list):
-            document = document[0]
-        page_content = document.page_content
-        if function == "Uppercase":
-            page_content = page_content.upper()
-        elif function == "Lowercase":
-            page_content = page_content.lower()
-        elif function == "Titlecase":
-            page_content = page_content.title()
-        self.repr_value = f"Result of {function} function: {page_content}"
-        return Document(page_content=page_content)
-```
-
-</CH.Scrollycoding>
-
-All done! This is what our script and brand-new custom component look like:
-
-<div style={{
-        display: "flex",
-        justifyContent: "center",
-    }}>
-
-    <ZoomableImage
-    alt="Document Processor Code"
-    sources={{
-        light: "img/document_processor_code.png",
-        dark: "img/document_processor_code.png",
-    }}
-    style={{
-        maxWidth: "100%",
-        margin: "0 auto",
-        display: "flex",
-        justifyContent: "center",
-    }}
-
-/>
-
-    <ZoomableImage
-    alt="Document Processor Component"
-    sources={{
-        light: "img/document_processor.png",
-        dark: "img/document_processor.png",
-    }}
-    style={{
-        width: "40%",
-        margin: "0 auto",
-        display: "flex",
-        justifyContent: "center",
-    }}
-    />
-
-</div>
-
----
-
-## Loading Custom Components
-
-For advanced customization, Langflow offers the option to create and load custom components outside of the standard interface. This process involves creating the desired components using a text editor and loading them using the Langflow CLI.
-
-### Folder Structure
-
-Create a folder that follows the same structural conventions as the [config.yaml](https://github.com/logspace-ai/langflow/blob/dev/src/backend/langflow/config.yaml) file. Inside this main directory, use a `custom_components` subdirectory for your custom components.
-
-Inside `custom_components`, you can create a Python file for each component. Similarly, any custom agents should be housed in an `agents` subdirectory.
-
-If you use a subdirectory name that is not in our config.yaml file, your component will appear in an `Other` category in the sidebar.
-
-Your structure should look something like this:
-
-```
-.
-└── custom_components
-    ├── document_processor.py
-    └── ...
-└── agents
-    └── ...
-└── my_agents <-- Other category
-    └── ...
-```
-
-### Loading Custom Components
-
-The recommended way to load custom components is to set the _`LANGFLOW_COMPONENTS_PATH`_ environment variable to the path of your custom components directory. Then, run the Langflow CLI as usual.
-
-```bash
-export LANGFLOW_COMPONENTS_PATH='["/path/to/components"]'
-langflow
-```
-
-Alternatively, you can specify the path to your custom components using the _`--components-path`_ argument when running the Langflow CLI, as shown below:
-
-```bash
-langflow --components-path /path/to/components
-```
-
-Langflow will attempt to load all of the components found in the specified directory. If a component fails to load due to errors in the component's code, Langflow will print an error message to the console but will continue loading the rest of the components.
-
-### Interacting with Custom Components
-
-Once your custom components have been loaded successfully, they will appear in Langflow's sidebar. From there, you can add them to your Langflow canvas for use. However, please note that components with errors will not be available for addition to the canvas. Always ensure your code is error-free before attempting to load components.
-
-Remember, creating custom components allows you to extend the functionality of Langflow to better suit your unique needs. Happy coding!
diff --git a/docs/docs/guidelines/features.mdx b/docs/docs/guidelines/features.mdx
deleted file mode 100644
index 19837430dfe..00000000000
--- a/docs/docs/guidelines/features.mdx
+++ /dev/null
@@ -1,69 +0,0 @@
-import ThemedImage from "@theme/ThemedImage";
-import useBaseUrl from "@docusaurus/useBaseUrl";
-import ZoomableImage from "/src/theme/ZoomableImage.js";
-import ReactPlayer from "react-player";
-import Admonition from "@theme/Admonition";
-
-# Features
-
-<div style={{ marginBottom: "20px" }}>
-  When you click for New Project, you will see on the top left corner of the
-  screen, some options such as <strong>Import</strong>, <strong>Export</strong>,{" "}
-  <strong>Code</strong> and <strong>Save</strong>, as displayed in the image
-  below:
-</div>
-
-{" "}
-<ZoomableImage
-  alt="Docusaurus themed image"
-  sources={{
-    light: useBaseUrl("img/features.png"),
-    dark: useBaseUrl("img/features.png"),
-  }}
-  style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }}
-/>
-
-<div style={{ marginBottom: "20px" }}>
-  Further down, we will explain each of these options.
-</div>
-
----
-
-### Import and Export
-
-Flows can be exported and imported as JSON files.
-
-<Admonition type="caution">
-Watch out for API keys being stored in local files.
-
-</Admonition>
-
----
-
-### Code
-
-The Code button shows snippets to use your flow as a Python object or an API.
-
-**Python Code**
-
-Through the Langflow package, you can load a flow from a JSON file and use it as a LangChain object.
-
-```py
-from langflow import load_flow_from_json
-
-flow = load_flow_from_json("path/to/flow.json")
-# Now you can use it like any chain
-flow("Hey, have you heard of Langflow?")
-```
-
-**API**
-
-Once you save a flow, the API endpoint is created with your latest changes. Click the "code" button to use that flow as an API. You can post-adjust component parameters using the global variable TWEAKS.
-
-The example below shows a Python script making a POST request to a local API endpoint, which gets a prediction based on the message input.
-
-<div
-  style={{ marginBottom: "20px", display: "flex", justifyContent: "center" }}
->
-  <ReactPlayer playing controls url="/videos/langflow_api.mp4" />
-</div>
diff --git a/docs/docs/guides/async-tasks.mdx b/docs/docs/guides/async-tasks.mdx
deleted file mode 100644
index e865fe4b640..00000000000
--- a/docs/docs/guides/async-tasks.mdx
+++ /dev/null
@@ -1,44 +0,0 @@
-import Admonition from "@theme/Admonition";
-
-# Async API
-
-## Introduction
-
-<Admonition type="info" caption="In development">
-  This implementation is still in development. Contributions are welcome!
-</Admonition>
-
-The Async API is an implementation of the Langflow API that uses [Celery](https://docs.celeryproject.org/en/stable/)
-to run the tasks asynchronously, using a message broker to send and receive messages, a result backend to store the results and a cache to store the task states and session data.
-
-### Configuration
-
-The folder _`./deploy`_ in the [Github repository](https://github.com/logspace-ai/langflow) contains a _`.env.example`_ file that can be used to configure a Langflow deployment.
-The file contains the variables required to configure a Celery worker queue, Redis cache and result backend and a RabbitMQ message broker.
-
-To set it up locally you can copy the file to _`.env`_ and run the following command:
-
-```bash
-docker compose up -d
-```
-
-This will set up the following containers:
-
-- Langflow API
-- Celery worker
-- RabbitMQ message broker
-- Redis cache
-- PostgreSQL database
-- PGAdmin
-- Flower
-- Traefik
-- Grafana
-- Prometheus
-
-### Testing
-
-To run the tests for the Async API, you can run the following command:
-
-```bash
-docker compose -f docker-compose.with_tests.yml up --exit-code-from tests tests result_backend broker celeryworker db --build
-```
diff --git a/docs/docs/guides/langfuse_integration.mdx b/docs/docs/guides/langfuse_integration.mdx
deleted file mode 100644
index 81f06e78718..00000000000
--- a/docs/docs/guides/langfuse_integration.mdx
+++ /dev/null
@@ -1,49 +0,0 @@
-# Integrating Langfuse with Langflow
-
-## Introduction
-
-Langfuse is an open-source tracing and analytics tool designed for LLM applications. Integrating Langfuse with Langflow provides detailed production traces and granular insights into quality, cost, and latency. This integration allows you to monitor and debug your Langflow's chat or APIs easily.
-
-## Step-by-Step Instructions
-
-### Step 1: Create a Langfuse account
-
-1. Go to [Langfuse](https://langfuse.com) and click on the "Sign In" button in the top right corner.
-2. Click on the "Sign Up" button and create an account.
-3. Once logged in, click on "Settings" and then on "Create new API keys."
-4. Copy the Public key and the Secret Key and save them somewhere safe.
-   {/* Add these keys to your environment variables in the following step. */}
-
-### Step 2: Set up Langfuse in Langflow
-
-1. **Export the Environment Variables**: You'll need to export the environment variables `LANGFLOW_LANGFUSE_SECRET_KEY` and `LANGFLOW_LANGFUSE_PUBLIC_KEY` with the values obtained in Step 1.
-
-   You can do this by executing the following commands in your terminal:
-
-   ```bash
-   export LANGFLOW_LANGFUSE_SECRET_KEY=<your secret key>
-   export LANGFLOW_LANGFUSE_PUBLIC_KEY=<your public key>
-   ```
-
-   Alternatively, you can run the Langflow CLI command:
-
-   ```bash
-   LANGFLOW_LANGFUSE_SECRET_KEY=<your secret key> LANGFLOW_LANGFUSE_PUBLIC_KEY=<your public key> langflow
-   ```
-
-   If you are self-hosting Langfuse, you can also set the environment variable `LANGFLOW_LANGFUSE_HOST` to point to your Langfuse instance. By default, Langfuse points to the cloud instance at `https://cloud.langfuse.com`.
-
-2. **Verify Integration**: Ensure that the environment variables are set correctly by checking their existence in your environment, for example by running:
-
-   ```bash
-   echo $LANGFLOW_LANGFUSE_SECRET_KEY
-   echo $LANGFLOW_LANGFUSE_PUBLIC_KEY
-   ```
-
-3. **Monitor Langflow**: Now, whenever you use Langflow's chat or API, you will be able to see the tracing of your conversations in Langfuse.
-
-That's it! You have successfully integrated Langfuse with Langflow, enhancing observability and debugging capabilities for your LLM application.
-
----
-
-Note: For more details or customized configurations, please refer to the official [Langfuse documentation](https://langfuse.com/docs/integrations/langchain).
diff --git a/docs/docs/guides/superuser.mdx b/docs/docs/guides/superuser.mdx
deleted file mode 100644
index 04e0f96af68..00000000000
--- a/docs/docs/guides/superuser.mdx
+++ /dev/null
@@ -1,7 +0,0 @@
-import ThemedImage from "@theme/ThemedImage";
-import useBaseUrl from "@docusaurus/useBaseUrl";
-import ZoomableImage from "/src/theme/ZoomableImage.js";
-import ReactPlayer from "react-player";
-
-Now, we need to explain what are the permissions the superuser gets. Once logged in, they can activate new users,
-edit them,
diff --git a/docs/docs/index.mdx b/docs/docs/index.mdx
index 37751735312..64946d6ad60 100644
--- a/docs/docs/index.mdx
+++ b/docs/docs/index.mdx
@@ -5,102 +5,33 @@ import Admonition from "@theme/Admonition";
 
 # 👋 Welcome to Langflow
 
-Langflow is an easy way to build from simple to complex AI applications. It is a low-code platform that allows you to integrate AI into everything you do.
+Langflow is a new, visual framework for building multi-agent and RAG applications. It is open-source, Python-powered, fully customizable, LLM and vector store agnostic.
 
-{" "}
+Its intuitive interface allows for easy manipulation of AI building blocks, enabling developers to quickly prototype and turn their ideas into powerful, real-world solutions.
 
 {" "}
+{/* rsn */}
 
 <ZoomableImage
-  alt="Docusaurus themed image"
+  alt="Interactive guide on using LangFlow"
   sources={{
-    light: "img/new_langflow_demo.gif",
-    dark: "img/new_langflow_demo.gif",
+    light: "img/langflow_basic_howto.gif",
+    dark: "img/langflow_basic_howto.gif",
   }}
   style={{ width: "100%" }}
 />
 
 ## 🚀 First steps
 
-## Installation
-
-Make sure you have **Python 3.10** installed on your system.
-
-You can install **Langflow** with [pipx](https://pipx.pypa.io/stable/installation/) or with pip.
-
-Pipx can fetch the missing Python version for you, but you can also install it manually.
-
-```bash
-pip install langflow -U
-# or (since pipx 1.5.0)
-pipx install langflow --python python3.10 --fetch-missing-python
-```
-
-Or you can install a pre-release version using:
-
-```bash
-pip install langflow --pre --force-reinstall
-# or (since pipx 1.5.0)
-pipx install langflow --python python3.10 --fetch-missing-python --pip-args="--pre --force-reinstall"
-```
-
-We recommend using --force-reinstall to ensure you have the latest version of Langflow and its dependencies.
-
-### ⛓️ Running Langflow
-
-Langflow can be run in a variety of ways, including using the command-line interface (CLI) or HuggingFace Spaces.
-
-```bash
-langflow run # or langflow --help
-```
-
-#### 🤗 HuggingFace Spaces
-
-Hugging Face provides a great alternative for running Langflow in their Spaces environment. This means you can run Langflow without any local installation required.
-
-The first step is to go to the [Langflow Space](https://huggingface.co/spaces/Langflow/Langflow?duplicate=true) or [Langflow 1.0 Preview Space](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true)
-
-Remember to use a Chromium-based browser for the best experience. You'll be presented with the following screen:
-
-<ZoomableImage
-  alt="Docusaurus themed image"
-  sources={{
-    light: "img/duplicate-space.png",
-    dark: "img/duplicate-space.png",
-  }}
-  style={{ width: "100%", margin: "20px auto" }}
-/>
-
-From here, just name your Space, define the visibility (Public or Private), and click on `Duplicate Space` to start the installation process. When that is done, you'll be redirected to the Space's main page to start using Langflow right away!
-
-Once you get Langflow running, click on New Project in the top right corner of the screen. Langflow provides a range of example flows to help you get started.
-
-To quickly try one of them, open a starter example, set up your API keys and click ⚡ Run, on the bottom right corner of the canvas. This will open up Langflow's Interaction Panel with the chat console, text inputs, and outputs.
-
-### 🖥️ Command Line Interface (CLI)
-
-Langflow provides a command-line interface (CLI) for easy management and configuration.
-
-#### Usage
-
-You can run the Langflow using the following command:
-
-```bash
-langflow run [OPTIONS]
-```
+- [Install Langflow](/getting-started/install-langflow) - Install and start a local Langflow server.
 
-Find more information about the available options by running:
+- [Quickstart](/getting-started/quickstart) - Create a flow and run it.
 
-```bash
-langflow --help
-```
+- [Langflow Workspace](/getting-started/workspace) - Learn more about the Langflow Workspace.
 
-## Find out more about 1.0
+## Learn more about Langflow 1.0
 
-<Admonition type="caution" icon="🚧" title="ZONE UNDER CONSTRUCTION">
-  <p>
-    We are currently working on updating the documentation for Langflow 1.0.
-  </p>
-</Admonition>
+Learn more about the exciting changes in Langflow 1.0, and how to migrate your existing Langflow projects.
 
-To get you learning more about what's new and why you should be excited about Langflow 1.0, go to [A new chapter for Langflow](https://pre-release.langflow.org/whats-new/a-new-chapter-langflow) and also come back often to check out our [migration guides](https://pre-release.langflow.org/whats-new/migrating-to-one-point-zero) as we release them.
+- [A new chapter for Langflow](/whats-new/a-new-chapter-langflow)
+- [Migration guides](/migration/migrating-to-one-point-zero)
diff --git a/docs/docs/integrations/langsmith/intro.mdx b/docs/docs/integrations/langsmith/intro.mdx
new file mode 100644
index 00000000000..02f474e6733
--- /dev/null
+++ b/docs/docs/integrations/langsmith/intro.mdx
@@ -0,0 +1,50 @@
+import Admonition from "@theme/Admonition";
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+
+# LangSmith
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+LangSmith is a full-lifecycle DevOps service from LangChain that provides monitoring and observability. To integrate with Langflow, just add your LangChain API key as a Langflow environment variable and you are good to go!
+
+## Step-by-step Configuration
+
+1. Obtain your LangChain API key from https://smith.langchain.com
+2. Add the following keys to Langflow .env file:
+
+```bash
+LANGCHAIN_API_KEY="your-api-key"
+LANGCHAIN_PROJECT="your-project-name"
+```
+
+or export the environment variables in your terminal:
+
+```bash
+export LANGCHAIN_API_KEY="your-api-key"
+export LANGCHAIN_PROJECT="your-project-name"
+```
+
+3. Restart Langflow using `langflow run --env-file .env`
+4. Run any project and check the LangSmith dashboard for monitoring and observability.
+
+<ZoomableImage
+  alt="LangSmith Flow Example"
+  sources={{
+    light: useBaseUrl("img/langsmith-flow.png"),
+    dark: useBaseUrl("img/langsmith-flow.png"),
+  }}
+  style={{ width: "80%", margin: "20px auto" }}
+/>
+
+<ZoomableImage
+  alt="LangSmith Trace"
+  sources={{
+    light: useBaseUrl("img/langsmith-trace.png"),
+    dark: useBaseUrl("img/langsmith-trace.png"),
+  }}
+  style={{ width: "80%", margin: "20px auto" }}
+/>
diff --git a/docs/docs/integrations/notion/add-content-to-page.md b/docs/docs/integrations/notion/add-content-to-page.md
new file mode 100644
index 00000000000..197046922ee
--- /dev/null
+++ b/docs/docs/integrations/notion/add-content-to-page.md
@@ -0,0 +1,135 @@
+import Admonition from "@theme/Admonition";
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+
+# Add Content To Page
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+The `AddContentToPage` component converts markdown text to Notion blocks and appends them to a Notion page.
+
+[Notion Reference](https://developers.notion.com/reference/patch-block-children)
+
+The `AddContentToPage` component enables you to:
+
+- Convert markdown text to Notion blocks.
+- Append the converted blocks to a specified Notion page.
+- Seamlessly integrate Notion content creation into Langflow workflows.
+
+## Component Usage
+
+To use the `AddContentToPage` component in a Langflow flow:
+
+1. **Add the `AddContentToPage` component** to your flow.
+2. **Configure the component** by providing:
+   - `markdown_text`: The markdown text to convert.
+   - `block_id`: The ID of the Notion page/block to append the content.
+   - `notion_secret`: The Notion integration token for authentication.
+3. **Connect the component** to other nodes in your flow as needed.
+4. **Run the flow** to convert the markdown text and append it to the specified Notion page.
+
+## Component Python Code
+
+```python
+import json
+from typing import Optional
+
+import requests
+from langflow.custom import CustomComponent
+
+
+class NotionPageCreator(CustomComponent):
+    display_name = "Create Page [Notion]"
+    description = "A component for creating Notion pages."
+    documentation: str = "https://docs.langflow.org/integrations/notion/add-content-to-page"
+    icon = "NotionDirectoryLoader"
+
+    def build_config(self):
+        return {
+            "database_id": {
+                "display_name": "Database ID",
+                "field_type": "str",
+                "info": "The ID of the Notion database.",
+            },
+            "notion_secret": {
+                "display_name": "Notion Secret",
+                "field_type": "str",
+                "info": "The Notion integration token.",
+                "password": True,
+            },
+            "properties": {
+                "display_name": "Properties",
+                "field_type": "str",
+                "info": "The properties of the new page. Depending on your database setup, this can change. E.G: {'Task name': {'id': 'title', 'type': 'title', 'title': [{'type': 'text', 'text': {'content': 'Send Notion Components to LF', 'link': null}}]}}",
+            },
+        }
+
+    def build(
+        self,
+        database_id: str,
+        notion_secret: str,
+        properties: str = '{"Task name": {"id": "title", "type": "title", "title": [{"type": "text", "text": {"content": "Send Notion Components to LF", "link": null}}]}}',
+    ) -> str:
+        if not database_id or not properties:
+            raise ValueError("Invalid input. Please provide 'database_id' and 'properties'.")
+
+        headers = {
+            "Authorization": f"Bearer {notion_secret}",
+            "Content-Type": "application/json",
+            "Notion-Version": "2022-06-28",
+        }
+
+        data = {
+            "parent": {"database_id": database_id},
+            "properties": json.loads(properties),
+        }
+
+        response = requests.post("https://api.notion.com/v1/pages", headers=headers, json=data)
+
+        if response.status_code == 200:
+            page_id = response.json()["id"]
+            self.status = f"Successfully created Notion page with ID: {page_id}\n {str(response.json())}"
+            return response.json()
+        else:
+            error_message = f"Failed to create Notion page. Status code: {response.status_code}, Error: {response.text}"
+            self.status = error_message
+            raise Exception(error_message)
+```
+
+## Example Usage
+
+Example of using the `AddContentToPage` component in a Langflow flow using Markdown as input:
+
+<ZoomableImage
+alt="NotionDatabaseProperties Flow Example"
+sources={{
+  light: "img/notion/AddContentToPage_flow_example.png",
+  dark: "img/notion/AddContentToPage_flow_example.png",
+  }}
+style={{ width: "100%", margin: "20px 0" }}
+/>
+
+In this example, the `AddContentToPage` component connects to a `MarkdownLoader` component to provide the markdown text input. The converted Notion blocks are appended to the specified Notion page using the provided `block_id` and `notion_secret`.
+
+## Best Practices
+
+When using the `AddContentToPage` component:
+
+- Ensure markdown text is well-formatted.
+- Verify the `block_id` corresponds to the right Notion page/block.
+- Keep your Notion integration token secure.
+- Test with sample markdown text before production use.
+
+The `AddContentToPage` component is a powerful tool for integrating Notion content creation into Langflow workflows, facilitating easy conversion of markdown text to Notion blocks and appending them to specific pages.
+
+## Troubleshooting
+
+If you encounter any issues while using the `AddContentToPage` component, consider the following:
+
+- Verify the Notion integration token’s validity and permissions.
+- Check the Notion API documentation for updates.
+- Ensure markdown text is properly formatted.
+- Double-check the `block_id` for correctness.
diff --git a/docs/docs/integrations/notion/intro.md b/docs/docs/integrations/notion/intro.md
new file mode 100644
index 00000000000..77f09e5b68a
--- /dev/null
+++ b/docs/docs/integrations/notion/intro.md
@@ -0,0 +1,47 @@
+import Admonition from "@theme/Admonition";
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+
+# Introduction to Notion in Langflow
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+The Notion integration in Langflow enables seamless connectivity with Notion databases, pages, and users, facilitating automation and improving productivity.
+
+<ZoomableImage
+alt="Notion Components in Langflow"
+sources={{
+    light: "img/notion/notion_bundle.jpg",
+    dark: "img/notion/notion_bundle.jpg",
+  }}
+style={{ width: "100%", margin: "20px 0" }}
+/>
+
+#### <a target="\_blank" href="json_files/Notion_Components_bundle.json" download>Download Notion Components Bundle</a>
+
+### Key Features of Notion Integration in Langflow
+
+- **List Pages**: Retrieve a list of pages from a Notion database and access data stored in your Notion workspace.
+- **List Database Properties**: Obtain insights into the properties of a Notion database, allowing for easy understanding of its structure and metadata.
+- **Add Page Content**: Programmatically add new content to a Notion page, simplifying the creation and updating of pages.
+- **List Users**: Retrieve a list of users with access to a Notion workspace, aiding in user management and collaboration.
+- **Update Property**: Update the value of a specific property in a Notion page, enabling easy modification and maintenance of Notion data.
+
+### Potential Use Cases for Notion Integration in Langflow
+
+- **Task Automation**: Automate task creation in Notion using Langflow's AI capabilities. Describe the required tasks, and they will be automatically created and updated in Notion.
+- **Context Extraction from Meetings**: Leverage AI to analyze meeting contexts, extract key points, and update the relevant Notion pages automatically.
+- **Content Creation**: Utilize AI to generate ideas, suggest templates, and populate Notion pages with relevant data, enhancing content management efficiency.
+
+### Getting Started with Notion Integration in Langflow
+
+1. **Set Up Notion Integration**: Follow the guide [Setting up a Notion App](./setup) to set up a Notion integration in your workspace.
+2. **Configure Notion Components**: Provide the necessary authentication details and parameters to configure the Notion components in your Langflow flows.
+3. **Connect Components**: Integrate Notion components with other Langflow components to build your workflow.
+4. **Test and Refine**: Ensure your Langflow flow operates as intended by testing and refining it.
+5. **Deploy and Run**: Deploy your Langflow flow to automate Notion-related tasks and processes.
+
+The Notion integration in Langflow offers a powerful toolset for automation and productivity enhancement. Whether managing tasks, extracting meeting insights, or creating content, Langflow and Notion provide robust solutions for streamlining workflows.
diff --git a/docs/docs/integrations/notion/list-database-properties.md b/docs/docs/integrations/notion/list-database-properties.md
new file mode 100644
index 00000000000..c72c52c275f
--- /dev/null
+++ b/docs/docs/integrations/notion/list-database-properties.md
@@ -0,0 +1,121 @@
+import Admonition from "@theme/Admonition";
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+
+# Database Properties
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+The `NotionDatabaseProperties` component retrieves properties of a Notion database. It provides a convenient way to integrate Notion database information into your Langflow workflows.
+
+[Notion Reference](https://developers.notion.com/reference/post-database-query)
+
+<Admonition type="tip" title="Component Functionality">
+The `NotionDatabaseProperties` component enables you to:
+- Retrieve properties of a Notion database
+- Access the retrieved properties in your Langflow flows
+- Integrate Notion database information seamlessly into your workflows
+</Admonition>
+
+## Component Usage
+
+To use the `NotionDatabaseProperties` component in a Langflow flow, follow these steps:
+
+1. Add the `NotionDatabaseProperties` component to your flow.
+2. Configure the component by providing the required inputs:
+   - `database_id`: The ID of the Notion database you want to retrieve properties from.
+   - `notion_secret`: The Notion integration token for authentication.
+3. Connect the output of the `NotionDatabaseProperties` component to other components in your flow as needed.
+
+## Component Python code
+
+```python
+import requests
+from typing import Dict
+
+from langflow import CustomComponent
+from langflow.schema import Data
+
+
+class NotionDatabaseProperties(CustomComponent):
+    display_name = "List Database Properties [Notion]"
+    description = "Retrieve properties of a Notion database."
+    documentation: str = "https://docs.langflow.org/integrations/notion/list-database-properties"
+    icon = "NotionDirectoryLoader"
+
+    def build_config(self):
+        return {
+            "database_id": {
+                "display_name": "Database ID",
+                "field_type": "str",
+                "info": "The ID of the Notion database.",
+            },
+            "notion_secret": {
+                "display_name": "Notion Secret",
+                "field_type": "str",
+                "info": "The Notion integration token.",
+                "password": True,
+            },
+        }
+
+    def build(
+        self,
+        database_id: str,
+        notion_secret: str,
+    ) -> Data:
+        url = f"https://api.notion.com/v1/databases/{database_id}"
+        headers = {
+            "Authorization": f"Bearer {notion_secret}",
+            "Notion-Version": "2022-06-28",  # Use the latest supported version
+        }
+
+        response = requests.get(url, headers=headers)
+        response.raise_for_status()
+
+        data = response.json()
+        properties = data.get("properties", {})
+
+        record = Data(text=str(response.json()), data=properties)
+        self.status = f"Retrieved {len(properties)} properties from the Notion database.\n {record.text}"
+        return record
+```
+
+## Example Usage
+
+<Admonition type="info" title="Example Usage">
+Here's an example of how you can use the `NotionDatabaseProperties` component in a Langflow flow:
+
+<ZoomableImage
+alt="NotionDatabaseProperties Flow Example"
+sources={{
+light: "img/notion/NotionDatabaseProperties_flow_example.png",
+dark: "img/notion/NotionDatabaseProperties_flow_example_dark.png",
+}}
+style={{ width: "100%", margin: "20px 0" }}
+/>
+
+In this example, the `NotionDatabaseProperties` component retrieves the properties of a Notion database, and the retrieved properties are then used as input for subsequent components in the flow.
+</Admonition>
+
+## Best Practices
+
+When using the `NotionDatabaseProperties` component, consider the following best practices:
+
+- Ensure that you have a valid Notion integration token with the necessary permissions to access the desired database.
+- Double-check the database ID to avoid retrieving properties from the wrong database.
+- Handle potential errors gracefully by checking the response status and providing appropriate error messages.
+
+The `NotionDatabaseProperties` component simplifies the process of retrieving properties from a Notion database and integrating them into your Langflow workflows. By leveraging this component, you can easily access and utilize Notion database information in your flows, enabling powerful integrations and automations.
+
+Feel free to explore the capabilities of the `NotionDatabaseProperties` component and experiment with different use cases to enhance your Langflow workflows!
+
+## Troubleshooting
+
+If you encounter any issues while using the `NotionDatabaseProperties` component, consider the following:
+
+- Verify that the Notion integration token is valid and has the required permissions.
+- Check the database ID to ensure it matches the intended Notion database.
+- Inspect the response from the Notion API for any error messages or status codes that may indicate the cause of the issue.
diff --git a/docs/docs/integrations/notion/list-pages.md b/docs/docs/integrations/notion/list-pages.md
new file mode 100644
index 00000000000..a232a594fb7
--- /dev/null
+++ b/docs/docs/integrations/notion/list-pages.md
@@ -0,0 +1,183 @@
+import Admonition from "@theme/Admonition";
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+
+# List Pages
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+The `NotionListPages` component queries a Notion database with filtering and sorting. It provides a convenient way to integrate Notion database querying capabilities into your Langflow workflows.
+
+[Notion Reference](https://developers.notion.com/reference/post-database-query)
+
+<Admonition type="tip" title="Component Functionality">
+ The `NotionListPages` component enables you to:
+
+- Query a Notion database with custom filters and sorting options
+- Retrieve specific pages from a Notion database based on the provided criteria
+- Integrate Notion database data seamlessly into your Langflow workflows
+
+</Admonition>
+
+## Component Usage
+
+To use the `NotionListPages
+` component in a Langflow flow, follow these steps:
+
+1. **Add the `NotionListPages
+` component to your flow.**
+2. **Configure the component by providing the required parameters:**
+   - `notion_secret`: The Notion integration token for authentication.
+   - `database_id`: The ID of the Notion database you want to query.
+   - `query_payload`: A JSON string containing the filters and sorting options for the query.
+3. **Connect the `NotionListPages
+` component to other components in your flow as needed.**
+
+## Component Python code
+
+```python
+import requests
+import json
+from typing import Dict, Any, List
+from langflow.custom import CustomComponent
+from langflow.schema import Data
+
+class NotionListPages(CustomComponent):
+    display_name = "List Pages [Notion]"
+    description = (
+        "Query a Notion database with filtering and sorting. "
+        "The input should be a JSON string containing the 'filter' and 'sorts' objects. "
+        "Example input:\n"
+        '{"filter": {"property": "Status", "select": {"equals": "Done"}}, "sorts": [{"timestamp": "created_time", "direction": "descending"}]}'
+    )
+    documentation: str = "https://docs.langflow.org/integrations/notion/list-pages"
+    icon = "NotionDirectoryLoader"
+
+    field_order = [
+        "notion_secret",
+        "database_id",
+        "query_payload",
+    ]
+
+    def build_config(self):
+        return {
+            "notion_secret": {
+                "display_name": "Notion Secret",
+                "field_type": "str",
+                "info": "The Notion integration token.",
+                "password": True,
+            },
+            "database_id": {
+                "display_name": "Database ID",
+                "field_type": "str",
+                "info": "The ID of the Notion database to query.",
+            },
+            "query_payload": {
+                "display_name": "Database query",
+                "field_type": "str",
+                "info": "A JSON string containing the filters that will be used for querying the database. EG: {'filter': {'property': 'Status', 'status': {'equals': 'In progress'}}}",
+            },
+        }
+
+    def build(
+        self,
+        notion_secret: str,
+        database_id: str,
+        query_payload: str = "{}",
+    ) -> List[Data]:
+        try:
+            query_data = json.loads(query_payload)
+            filter_obj = query_data.get("filter")
+            sorts = query_data.get("sorts", [])
+
+            url = f"https://api.notion.com/v1/databases/{database_id}/query"
+            headers = {
+                "Authorization": f"Bearer {notion_secret}",
+                "Content-Type": "application/json",
+                "Notion-Version": "2022-06-28",
+            }
+
+            data = {
+                "sorts": sorts,
+            }
+
+            if filter_obj:
+                data["filter"] = filter_obj
+
+            response = requests.post(url, headers=headers, json=data)
+            response.raise_for_status()
+
+            results = response.json()
+            data = []
+            combined_text = f"Pages found: {len(results['results'])}\n\n"
+            for page in results['results']:
+                page_data = {
+                    'id': page['id'],
+                    'url': page['url'],
+                    'created_time': page['created_time'],
+                    'last_edited_time': page['last_edited_time'],
+                    'properties': page['properties'],
+                }
+
+                text = (
+                    f"id: {page['id']}\n"
+                    f"url: {page['url']}\n"
+                    f"created_time: {page['created_time']}\n"
+                    f"last_edited_time: {page['last_edited_time']}\n"
+                    f"properties: {json.dumps(page['properties'], indent=2)}\n\n"
+                )
+
+                combined_text += text
+                data.append(Data(text=text, data=page_data))
+
+            self.status = combined_text.strip()
+            return data
+
+        except Exception as e:
+            self.status = f"An error occurred: {str(e)}"
+            return [Data(text=self.status, data=[])]
+```
+
+<Admonition type="info" title="Example Usage">
+
+## Example Usage
+
+Here's an example of how you can use the `NotionListPages` component in a Langflow flow and passing to the Prompt component:
+
+<ZoomableImage
+alt="NotionListPages
+Flow Example"
+sources={{
+    light: "img/notion/NotionListPages_flow_example.png",
+    dark: "img/notion/NotionListPages_flow_example_dark.png",
+    }}
+style={{ width: "100%", margin: "20px 0" }}
+/>
+
+In this example, the `NotionListPages` component is used to retrieve specific pages from a Notion database based on the provided filters and sorting options. The retrieved data can then be processed further in the subsequent components of the flow.
+</Admonition>
+
+## Best Practices
+
+When using the `NotionListPages
+` component, consider the following best practices:
+
+- Ensure that you have a valid Notion integration token with the necessary permissions to query the desired database.
+- Construct the `query_payload` JSON string carefully, following the Notion API documentation for filtering and sorting options.
+
+The `NotionListPages
+` component provides a powerful way to integrate Notion database querying capabilities into your Langflow workflows. By leveraging this component, you can easily retrieve specific pages from a Notion database based on custom filters and sorting options, enabling you to build more dynamic and data-driven flows.
+
+We encourage you to explore the capabilities of the `NotionListPages
+` component further and experiment with different querying scenarios to unlock the full potential of integrating Notion databases into your Langflow workflows.
+
+## Troubleshooting
+
+If you encounter any issues while using the `NotionListPages` component, consider the following:
+
+- Double-check that the `notion_secret` and `database_id` are correct and valid.
+- Verify that the `query_payload` JSON string is properly formatted and contains valid filtering and sorting options.
+- Check the Notion API documentation for any updates or changes that may affect the component's functionality.
diff --git a/docs/docs/integrations/notion/list-users.md b/docs/docs/integrations/notion/list-users.md
new file mode 100644
index 00000000000..c3cd6696b19
--- /dev/null
+++ b/docs/docs/integrations/notion/list-users.md
@@ -0,0 +1,126 @@
+import Admonition from "@theme/Admonition";
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+
+# User List
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+The `NotionUserList` component retrieves users from Notion. It provides a convenient way to integrate Notion user data into your Langflow workflows.
+
+[Notion Reference](https://developers.notion.com/reference/get-users)
+
+The `NotionUserList` component enables you to:
+
+- Retrieve user data from Notion
+- Access user information such as ID, type, name, and avatar URL
+- Integrate Notion user data seamlessly into your Langflow workflows
+
+## Component Usage
+
+To use the `NotionUserList` component in a Langflow flow, follow these steps:
+
+1. Add the `NotionUserList` component to your flow.
+2. Configure the component by providing the required Notion secret token.
+3. Connect the component to other nodes in your flow as needed.
+
+## Component Python code
+
+```python
+import requests
+from typing import List
+
+from langflow import CustomComponent
+from langflow.schema import Data
+
+
+class NotionUserList(CustomComponent):
+    display_name = "List Users [Notion]"
+    description = "Retrieve users from Notion."
+    documentation: str = "https://docs.langflow.org/integrations/notion/list-users"
+    icon = "NotionDirectoryLoader"
+
+    def build_config(self):
+        return {
+            "notion_secret": {
+                "display_name": "Notion Secret",
+                "field_type": "str",
+                "info": "The Notion integration token.",
+                "password": True,
+            },
+        }
+
+    def build(
+        self,
+        notion_secret: str,
+    ) -> List[Data]:
+        url = "https://api.notion.com/v1/users"
+        headers = {
+            "Authorization": f"Bearer {notion_secret}",
+            "Notion-Version": "2022-06-28",
+        }
+
+        response = requests.get(url, headers=headers)
+        response.raise_for_status()
+
+        data = response.json()
+        results = data['results']
+
+        data = []
+        for user in results:
+            id = user['id']
+            type = user['type']
+            name = user.get('name', '')
+            avatar_url = user.get('avatar_url', '')
+
+            data_dict = {
+                "id": id,
+                "type": type,
+                "name": name,
+                "avatar_url": avatar_url,
+            }
+
+            output = "User:\n"
+            for key, value in data_dict.items():
+                output += f"{key.replace('_', ' ').title()}: {value}\n"
+            output += "________________________\n"
+
+            record = Data(text=output, data=data_dict)
+            data.append(record)
+
+        self.status = "\n".join(record.text for record in data)
+        return data
+```
+
+## Example Usage
+
+Here's an example of how you can use the `NotionUserList` component in a Langflow flow and passing the outputs to the Prompt component:
+
+<ZoomableImage
+alt="NotionUserList Flow Example"
+sources={{
+      light: "img/notion/NotionUserList_flow_example.png",
+      dark: "img/notion/NotionUserList_flow_example_dark.png",
+  }}
+style={{ width: "100%", margin: "20px 0" }}
+/>
+
+## Best Practices
+
+When using the `NotionUserList` component, consider the following best practices:
+
+- Ensure that you have a valid Notion integration token with the necessary permissions to retrieve user data.
+- Handle the retrieved user data securely and in compliance with Notion's API usage guidelines.
+
+The `NotionUserList` component provides a seamless way to integrate Notion user data into your Langflow workflows. By leveraging this component, you can easily retrieve and utilize user information from Notion, enhancing the capabilities of your Langflow applications. Feel free to explore and experiment with the `NotionUserList` component to unlock new possibilities in your Langflow projects!
+
+## Troubleshooting
+
+If you encounter any issues while using the `NotionUserList` component, consider the following:
+
+- Double-check that your Notion integration token is valid and has the required permissions.
+- Verify that you have installed the necessary dependencies (`requests`) for the component to function properly.
+- Check the Notion API documentation for any updates or changes that may affect the component's functionality.
diff --git a/docs/docs/integrations/notion/page-content-viewer.md b/docs/docs/integrations/notion/page-content-viewer.md
new file mode 100644
index 00000000000..df3ebdf605c
--- /dev/null
+++ b/docs/docs/integrations/notion/page-content-viewer.md
@@ -0,0 +1,146 @@
+import Admonition from "@theme/Admonition";
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+
+# Page Content
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+The `NotionPageContent` component retrieves the content of a Notion page as plain text. It provides a convenient way to integrate Notion page content into your Langflow workflows.
+
+[Notion Reference](https://developers.notion.com/reference/get-page)
+
+<Admonition type="tip" title="Component Functionality">
+
+The `NotionPageContent` component enables you to:
+
+- Retrieve the content of a Notion page as plain text
+- Extract text from various block types, including paragraphs, headings, lists, and more
+- Integrate Notion page content seamlessly into your Langflow workflows
+
+</Admonition>
+
+## Component Usage
+
+To use the `NotionPageContent` component in a Langflow flow, follow these steps:
+
+1. Add the `NotionPageContent` component to your flow.
+2. Configure the component by providing the required inputs:
+   - `page_id`: The ID of the Notion page you want to retrieve.
+   - `notion_secret`: Your Notion integration token for authentication.
+3. Connect the output of the `NotionPageContent` component to other components in your flow as needed.
+
+## Component Python code
+
+```python
+import requests
+from typing import Dict, Any
+
+from langflow import CustomComponent
+from langflow.schema import Data
+
+
+class NotionPageContent(CustomComponent):
+    display_name = "Page Content Viewer [Notion]"
+    description = "Retrieve the content of a Notion page as plain text."
+    documentation: str = "https://docs.langflow.org/integrations/notion/page-content-viewer"
+    icon = "NotionDirectoryLoader"
+
+    def build_config(self):
+        return {
+            "page_id": {
+                "display_name": "Page ID",
+                "field_type": "str",
+                "info": "The ID of the Notion page to retrieve.",
+            },
+            "notion_secret": {
+                "display_name": "Notion Secret",
+                "field_type": "str",
+                "info": "The Notion integration token.",
+                "password": True,
+            },
+        }
+
+    def build(
+        self,
+        page_id: str,
+        notion_secret: str,
+    ) -> Data:
+        blocks_url = f"https://api.notion.com/v1/blocks/{page_id}/children?page_size=100"
+        headers = {
+            "Authorization": f"Bearer {notion_secret}",
+            "Notion-Version": "2022-06-28",  # Use the latest supported version
+        }
+
+        # Retrieve the child blocks
+        blocks_response = requests.get(blocks_url, headers=headers)
+        blocks_response.raise_for_status()
+        blocks_data = blocks_response.json()
+
+        # Parse the blocks and extract the content as plain text
+        content = self.parse_blocks(blocks_data["results"])
+
+        self.status = content
+        return Data(data={"content": content}, text=content)
+
+    def parse_blocks(self, blocks: list) -> str:
+        content = ""
+        for block in blocks:
+            block_type = block["type"]
+            if block_type in ["paragraph", "heading_1", "heading_2", "heading_3", "quote"]:
+                content += self.parse_rich_text(block[block_type]["rich_text"]) + "\n\n"
+            elif block_type in ["bulleted_list_item", "numbered_list_item"]:
+                content += self.parse_rich_text(block[block_type]["rich_text"]) + "\n"
+            elif block_type == "to_do":
+                content += self.parse_rich_text(block["to_do"]["rich_text"]) + "\n"
+            elif block_type == "code":
+                content += self.parse_rich_text(block["code"]["rich_text"]) + "\n\n"
+            elif block_type == "image":
+                content += f"[Image: {block['image']['external']['url']}]\n\n"
+            elif block_type == "divider":
+                content += "---\n\n"
+        return content.strip()
+
+    def parse_rich_text(self, rich_text: list) -> str:
+        text = ""
+        for segment in rich_text:
+            text += segment["plain_text"]
+        return text
+```
+
+## Example Usage
+
+<Admonition type="info" title="Example Usage">
+
+Here's an example of how you can use the `NotionPageContent` component in a Langflow flow:
+
+<ZoomableImage
+alt="NotionPageContent Flow Example"
+sources={{
+        light: "img/notion/NotionPageContent_flow_example.png",
+        dark: "img/notion/NotionPageContent_flow_example_dark.png",
+    }}
+style={{ width: "100%", margin: "20px 0" }}
+/>
+</Admonition>
+
+## Best Practices
+
+When using the `NotionPageContent` component, consider the following best practices:
+
+- Ensure that you have the necessary permissions to access the Notion page you want to retrieve.
+- Keep your Notion integration token secure and avoid sharing it publicly.
+- Be mindful of the content you retrieve and ensure that it aligns with your intended use case.
+
+The `NotionPageContent` component provides a seamless way to integrate Notion page content into your Langflow workflows. By leveraging this component, you can easily retrieve and process the content of Notion pages, enabling you to build powerful and dynamic applications. Explore the capabilities of the `NotionPageContent` component and unlock new possibilities in your Langflow projects!
+
+## Troubleshooting
+
+If you encounter any issues while using the `NotionPageContent` component, consider the following:
+
+- Double-check that you have provided the correct Notion page ID.
+- Verify that your Notion integration token is valid and has the necessary permissions.
+- Check the Notion API documentation for any updates or changes that may affect the component's functionality.
diff --git a/docs/docs/integrations/notion/page-create.md b/docs/docs/integrations/notion/page-create.md
new file mode 100644
index 00000000000..f2e7534d19b
--- /dev/null
+++ b/docs/docs/integrations/notion/page-create.md
@@ -0,0 +1,135 @@
+import Admonition from "@theme/Admonition";
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+
+# Page Create
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+The `NotionPageCreator` component creates pages in a Notion database. It provides a convenient way to integrate Notion page creation into your Langflow workflows.
+
+[Notion Reference](https://developers.notion.com/reference/patch-block-children)
+
+<Admonition type="tip" title="Component Functionality">
+The `NotionPageCreator` component enables you to:
+- Create new pages in a specified Notion database
+- Set custom properties for the created pages
+- Retrieve the ID and URL of the newly created pages
+</Admonition>
+
+## Component Usage
+
+To use the `NotionPageCreator` component in a Langflow flow, follow these steps:
+
+1. Add the `NotionPageCreator` component to your flow.
+2. Configure the component by providing the required inputs:
+   - `database_id`: The ID of the Notion database where the pages will be created.
+   - `notion_secret`: The Notion integration token for authentication.
+   - `properties`: The properties of the new page, specified as a JSON string.
+3. Connect the component to other components in your flow as needed.
+4. Run the flow to create Notion pages based on the configured inputs.
+
+## Component Python Code
+
+```python
+import json
+from typing import Optional
+
+import requests
+from langflow.custom import CustomComponent
+
+
+class NotionPageCreator(CustomComponent):
+    display_name = "Create Page [Notion]"
+    description = "A component for creating Notion pages."
+    documentation: str = "https://docs.langflow.org/integrations/notion/page-create"
+    icon = "NotionDirectoryLoader"
+
+    def build_config(self):
+        return {
+            "database_id": {
+                "display_name": "Database ID",
+                "field_type": "str",
+                "info": "The ID of the Notion database.",
+            },
+            "notion_secret": {
+                "display_name": "Notion Secret",
+                "field_type": "str",
+                "info": "The Notion integration token.",
+                "password": True,
+            },
+            "properties": {
+                "display_name": "Properties",
+                "field_type": "str",
+                "info": "The properties of the new page. Depending on your database setup, this can change. E.G: {'Task name': {'id': 'title', 'type': 'title', 'title': [{'type': 'text', 'text': {'content': 'Send Notion Components to LF', 'link': null}}]}}",
+            },
+        }
+
+    def build(
+        self,
+        database_id: str,
+        notion_secret: str,
+        properties: str = '{"Task name": {"id": "title", "type": "title", "title": [{"type": "text", "text": {"content": "Send Notion Components to LF", "link": null}}]}}',
+    ) -> str:
+        if not database_id or not properties:
+            raise ValueError("Invalid input. Please provide 'database_id' and 'properties'.")
+
+        headers = {
+            "Authorization": f"Bearer {notion_secret}",
+            "Content-Type": "application/json",
+            "Notion-Version": "2022-06-28",
+        }
+
+        data = {
+            "parent": {"database_id": database_id},
+            "properties": json.loads(properties),
+        }
+
+        response = requests.post("https://api.notion.com/v1/pages", headers=headers, json=data)
+
+        if response.status_code == 200:
+            page_id = response.json()["id"]
+            self.status = f"Successfully created Notion page with ID: {page_id}\n {str(response.json())}"
+            return response.json()
+        else:
+            error_message = f"Failed to create Notion page. Status code: {response.status_code}, Error: {response.text}"
+            self.status = error_message
+            raise Exception(error_message)
+```
+
+## Example Usage
+
+<Admonition type="info" title="Example Usage">
+Here's an example of how to use the `NotionPageCreator` component in a Langflow flow:
+
+<ZoomableImage
+alt="NotionPageCreator Flow Example"
+sources={{
+    light: "img/notion/NotionPageCreator_flow_example.png",
+    dark: "img/notion/NotionPageCreator_flow_example_dark.png",
+  }}
+style={{ width: "100%", margin: "20px 0" }}
+/>
+</Admonition>
+
+## Best Practices
+
+When using the `NotionPageCreator` component, consider the following best practices:
+
+- Ensure that you have a valid Notion integration token with the necessary permissions to create pages in the specified database.
+- Properly format the `properties` input as a JSON string, matching the structure and field types of your Notion database.
+- Handle any errors or exceptions that may occur during the page creation process and provide appropriate error messages.
+- To avoid the hassle of messing with JSON, we recommend using the LLM to create the JSON for you as input.
+
+The `NotionPageCreator` component simplifies the process of creating pages in a Notion database directly from your Langflow workflows. By leveraging this component, you can seamlessly integrate Notion page creation functionality into your automated processes, saving time and effort. Feel free to explore the capabilities of the `NotionPageCreator` component and adapt it to suit your specific requirements.
+
+## Troubleshooting
+
+If you encounter any issues while using the `NotionPageCreator` component, consider the following:
+
+- Double-check that the `database_id` and `notion_secret` inputs are correct and valid.
+- Verify that the `properties` input is properly formatted as a JSON string and matches the structure of your Notion database.
+- Check the Notion API documentation for any updates or changes that may affect the component's functionality.
diff --git a/docs/docs/integrations/notion/page-update.md b/docs/docs/integrations/notion/page-update.md
new file mode 100644
index 00000000000..3f9709f0a2f
--- /dev/null
+++ b/docs/docs/integrations/notion/page-update.md
@@ -0,0 +1,142 @@
+import Admonition from "@theme/Admonition";
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+
+# Page Update
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+The `NotionPageUpdate` component updates the properties of a Notion page. It provides a convenient way to integrate updating Notion page properties into your Langflow workflows.
+
+[Notion Reference](https://developers.notion.com/reference/patch-page)
+
+## Component Usage
+
+To use the `NotionPageUpdate` component in your Langflow flow:
+
+1. Drag and drop the `NotionPageUpdate` component onto the workspace.
+2. Double-click the component to open its configuration.
+3. Provide the required parameters as defined in the component's `build_config` method.
+4. Connect the component to other nodes in your flow as needed.
+
+## Component Python Code
+
+```python
+import json
+import requests
+from typing import Dict, Any
+
+from langflow import CustomComponent
+from langflow.schema import Data
+
+
+class NotionPageUpdate(CustomComponent):
+    display_name = "Update Page Property [Notion]"
+    description = "Update the properties of a Notion page."
+    documentation: str = "https://docs.langflow.org/integrations/notion/page-update"
+    icon = "NotionDirectoryLoader"
+
+    def build_config(self):
+        return {
+            "page_id": {
+                "display_name": "Page ID",
+                "field_type": "str",
+                "info": "The ID of the Notion page to update.",
+            },
+            "properties": {
+                "display_name": "Properties",
+                "field_type": "str",
+                "info": "The properties to update on the page (as a JSON string).",
+                "multiline": True,
+            },
+            "notion_secret": {
+                "display_name": "Notion Secret",
+                "field_type": "str",
+                "info": "The Notion integration token.",
+                "password": True,
+            },
+        }
+
+    def build(
+        self,
+        page_id: str,
+        properties: str,
+        notion_secret: str,
+    ) -> Data:
+        url = f"https://api.notion.com/v1/pages/{page_id}"
+        headers = {
+            "Authorization": f"Bearer {notion_secret}",
+            "Content-Type": "application/json",
+            "Notion-Version": "2022-06-28",  # Use the latest supported version
+        }
+
+        try:
+            parsed_properties = json.loads(properties)
+        except json.JSONDecodeError as e:
+            raise ValueError("Invalid JSON format for properties") from e
+
+        data = {
+            "properties": parsed_properties
+        }
+
+        response = requests.patch(url, headers=headers, json=data)
+        response.raise_for_status()
+
+        updated_page = response.json()
+
+        output = "Updated page properties:\n"
+        for prop_name, prop_value in updated_page["properties"].items():
+            output += f"{prop_name}: {prop_value}\n"
+
+        self.status = output
+        return Data(data=updated_page)
+```
+
+Let's break down the key parts of this component:
+
+- The `build_config` method defines the configuration fields for the component. It specifies the required parameters and their properties, such as display names, field types, and any additional information or validation.
+
+- The `build` method contains the main logic of the component. It takes the configured parameters as input and performs the necessary operations to update the properties of a Notion page.
+
+- The component interacts with the Notion API to update the page properties. It constructs the API URL, headers, and request data based on the provided parameters.
+
+- The processed data is returned as a `Data` object, which can be connected to other components in the Langflow flow. The `Data` object contains the updated page data.
+
+- The component also stores the updated page properties in the `status` attribute for logging and debugging purposes.
+
+## Example Usage
+
+<Admonition type="info" title="Example Usage">
+Here's an example of how to use the `NotionPageUpdate` component in a Langflow flow using:
+
+<ZoomableImage
+alt="NotionPageUpdate Flow Example"
+sources={{
+    light: "img/notion/NotionPageUpdate_flow_example.png",
+    dark: "img/notion/NotionPageUpdate_flow_example_dark.png",
+  }}
+style={{ width: "100%", margin: "20px 0" }}
+/>
+</Admonition>
+
+## Best Practices
+
+When using the `NotionPageUpdate` component, consider the following best practices:
+
+- Ensure that you have a valid Notion integration token with the necessary permissions to update page properties.
+- Handle edge cases and error scenarios gracefully, such as invalid JSON format for properties or API request failures.
+- We recommend using an LLM to generate the inputs for this component, to allow flexibility
+
+By leveraging the `NotionPageUpdate` component in Langflow, you can easily integrate updating Notion page properties into your language model workflows and build powerful applications that extend Langflow's capabilities.
+
+## Troubleshooting
+
+If you encounter any issues while using the `NotionPageUpdate` component, consider the following:
+
+- Double-check that you have correctly configured the component with the required parameters, including the page ID, properties JSON, and Notion integration token.
+- Verify that your Notion integration token has the necessary permissions to update page properties.
+- Check the Langflow logs for any error messages or exceptions related to the component, such as invalid JSON format or API request failures.
+- Consult the [Notion API Documentation](https://developers.notion.com/reference/patch-page) for specific troubleshooting steps or common issues related to updating page properties.
diff --git a/docs/docs/integrations/notion/search.md b/docs/docs/integrations/notion/search.md
new file mode 100644
index 00000000000..f7092fdb966
--- /dev/null
+++ b/docs/docs/integrations/notion/search.md
@@ -0,0 +1,188 @@
+import Admonition from "@theme/Admonition";
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+
+# Notion Search
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+The `NotionSearch` component is designed to search all pages and databases that have been shared with an integration in Notion. It provides a convenient way to integrate Notion search capabilities into your Langflow workflows.
+
+[Notion Reference](https://developers.notion.com/reference/search)
+
+<Admonition type="tip" title="Component Functionality">
+ The `NotionSearch` component enables you to:
+
+- Search for pages and databases in Notion that have been shared with an integration
+- Filter the search results based on object type (pages or databases)
+- Sort the search results in ascending or descending order based on the last edited time
+
+</Admonition>
+
+## Component Usage
+
+To use the `NotionSearch` component in a Langflow flow, follow these steps:
+
+1. **Add the `NotionSearch` component to your flow.**
+2. **Configure the component by providing the required parameters:**
+   - `notion_secret`: The Notion integration token for authentication.
+   - `query`: The text to search for in page and database titles.
+   - `filter_value`: The type of objects to include in the search results (pages or databases).
+   - `sort_direction`: The direction to sort the search results (ascending or descending).
+3. **Connect the `NotionSearch` component to other components in your flow as needed.**
+
+## Component Python Code
+
+```python
+import requests
+from typing import Dict, Any, List
+from langflow.custom import CustomComponent
+from langflow.schema import Data
+
+class NotionSearch(CustomComponent):
+    display_name = "Search Notion"
+    description = (
+        "Searches all pages and databases that have been shared with an integration."
+    )
+    documentation: str = "https://docs.langflow.org/integrations/notion/search"
+    icon = "NotionDirectoryLoader"
+
+    field_order = [
+        "notion_secret",
+        "query",
+        "filter_value",
+        "sort_direction",
+    ]
+
+    def build_config(self):
+        return {
+            "notion_secret": {
+                "display_name": "Notion Secret",
+                "field_type": "str",
+                "info": "The Notion integration token.",
+                "password": True,
+            },
+            "query": {
+                "display_name": "Search Query",
+                "field_type": "str",
+                "info": "The text that the API compares page and database titles against.",
+            },
+            "filter_value": {
+                "display_name": "Filter Type",
+                "field_type": "str",
+                "info": "Limits the results to either only pages or only databases.",
+                "options": ["page", "database"],
+                "default_value": "page",
+            },
+            "sort_direction": {
+                "display_name": "Sort Direction",
+                "field_type": "str",
+                "info": "The direction to sort the results.",
+                "options": ["ascending", "descending"],
+                "default_value": "descending",
+            },
+        }
+
+    def build(
+        self,
+        notion_secret: str,
+        query: str = "",
+        filter_value: str = "page",
+        sort_direction: str = "descending",
+    ) -> List[Data]:
+        try:
+            url = "https://api.notion.com/v1/search"
+            headers = {
+                "Authorization": f"Bearer {notion_secret}",
+                "Content-Type": "application/json",
+                "Notion-Version": "2022-06-28",
+            }
+
+            data = {
+                "query": query,
+                "filter": {
+                    "value": filter_value,
+                    "property": "object"
+                },
+                "sort":{
+                  "direction": sort_direction,
+                  "timestamp": "last_edited_time"
+                }
+            }
+
+            response = requests.post(url, headers=headers, json=data)
+            response.raise_for_status()
+
+            results = response.json()
+            data = []
+            combined_text = f"Results found: {len(results['results'])}\n\n"
+            for result in results['results']:
+                result_data = {
+                    'id': result['id'],
+                    'type': result['object'],
+                    'last_edited_time': result['last_edited_time'],
+                }
+
+                if result['object'] == 'page':
+                    result_data['title_or_url'] = result['url']
+                    text = f"id: {result['id']}\ntitle_or_url: {result['url']}\n"
+                elif result['object'] == 'database':
+                    if 'title' in result and isinstance(result['title'], list) and len(result['title']) > 0:
+                        result_data['title_or_url'] = result['title'][0]['plain_text']
+                        text = f"id: {result['id']}\ntitle_or_url: {result['title'][0]['plain_text']}\n"
+                    else:
+                        result_data['title_or_url'] = "N/A"
+                        text = f"id: {result['id']}\ntitle_or_url: N/A\n"
+
+                text += f"type: {result['object']}\nlast_edited_time: {result['last_edited_time']}\n\n"
+                combined_text += text
+                data.append(Data(text=text, data=result_data))
+
+            self.status = combined_text
+            return data
+
+        except Exception as e:
+            self.status = f"An error occurred: {str(e)}"
+            return [Data(text=self.status, data=[])]
+```
+
+## Example Usage
+
+<Admonition type="info" title="Example Usage">
+Here's an example of how you can use the `NotionSearch` component in a Langflow flow:
+
+<ZoomableImage
+alt="NotionSearch Flow Example"
+sources={{
+    light: "img/notion/NotionSearch_flow_example.png",
+    dark: "img/notion/NotionSearch_flow_example_dark.png",
+    }}
+style={{ width: "100%", margin: "20px 0" }}
+/>
+
+In this example, the `NotionSearch` component is used to search for pages and databases in Notion based on the provided query and filter criteria. The retrieved data can then be processed further in the subsequent components of the flow.
+</Admonition>
+
+## Best Practices
+
+When using the `NotionSearch` component, consider these best practices:
+
+- Ensure you have a valid Notion integration token with the necessary permissions to search for pages and databases.
+- Provide a meaningful search query to narrow down the results to the desired pages or databases.
+- Choose the appropriate filter type (`page` or `database`) based on your search requirements.
+- Consider the sorting direction (`ascending` or `descending`) to organize the search results effectively.
+
+The `NotionSearch` component provides a powerful way to integrate Notion search capabilities into your Langflow workflows. By leveraging this component, you can easily search for pages and databases in Notion based on custom queries and filters, enabling you to build more dynamic and data-driven flows.
+
+We encourage you to explore the capabilities of the `NotionSearch` component further and experiment with different search scenarios to unlock the full potential of integrating Notion search into your Langflow workflows.
+
+## Troubleshooting
+
+If you encounter any issues while using the `NotionSearch` component, consider the following:
+
+- Double-check that the `notion_secret` is correct and valid.
+- Verify that the Notion integration has the necessary permissions to access the desired pages and databases.
+- Check the Notion API documentation for any updates or changes that may affect the component's functionality.
diff --git a/docs/docs/integrations/notion/setup.md b/docs/docs/integrations/notion/setup.md
new file mode 100644
index 00000000000..4ff81dd3068
--- /dev/null
+++ b/docs/docs/integrations/notion/setup.md
@@ -0,0 +1,82 @@
+import Admonition from "@theme/Admonition";
+
+# Setting up a Notion App
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+To use Notion components in Langflow, you first need to create a Notion integration and configure it with the necessary capabilities. This guide will walk you through the process of setting up a Notion integration and granting it access to your Notion databases.
+
+## Prerequisites
+
+- A Notion account with access to the workspace where you want to use the integration.
+- Admin permissions in the Notion workspace to create and manage integrations.
+
+## Step 1: Create a Notion Integration
+
+1. Go to the [Notion Integrations](https://www.notion.com/my-integrations) page.
+2. Click on the "New integration" button.
+3. Give your integration a name and select the workspace where you want to use it.
+4. Click "Submit" to create the integration.
+
+<Admonition type="info" title="Integration Capabilities">
+When creating the integration, make sure to enable the necessary capabilities based on your requirements. Refer to the [Notion Integration Capabilities](https://developers.notion.com/reference/capabilities) documentation for more information on each capability.
+</Admonition>
+
+## Step 2: Configure Integration Capabilities
+
+After creating the integration, you need to configure its capabilities to define what actions it can perform and what data it can access.
+
+1. In the integration settings page, go to the **Capabilities** tab.
+2. Enable the required capabilities for your integration. For example:
+   - If your integration needs to read data from Notion, enable the "Read content" capability.
+   - If your integration needs to create new content in Notion, enable the "Insert content" capability.
+   - If your integration needs to update existing content in Notion, enable the "Update content" capability.
+3. Configure the user information access level based on your integration's requirements.
+4. Save the changes.
+
+## Step 3: Obtain Integration Token
+
+To authenticate your integration with Notion, you need to obtain an integration token.
+
+1. In the integration settings page, go to the "Secrets" tab.
+2. Copy the "Internal Integration Token" value. This token will be used to authenticate your integration with Notion.
+
+<Admonition type="warning" title="Keep Your Token Secure">
+Your integration token is a sensitive piece of information. Make sure to keep it secure and never share it publicly. Store it safely in your Langflow configuration or environment variables.
+</Admonition>
+
+## Step 4: Grant Integration Access to Notion Databases
+
+For your integration to interact with Notion databases, you need to grant it access to the specific databases it will be working with.
+
+1. Open the Notion database that you want your integration to access.
+2. Click on the "Share" button in the top-right corner of the page.
+3. In the "Invite" section, select your integration from the list.
+4. Click "Invite" to grant the integration access to the database.
+
+<Admonition type="info" title="Nested Databases">
+If your database contains references to other databases, you need to grant the integration access to those referenced databases as well. Repeat step 4 for each referenced database to ensure your integration has the necessary access.
+</Admonition>
+
+## Using Notion Components in Langflow
+
+Once you have set up your Notion integration and granted it access to the required databases, you can start using the Notion components in Langflow.
+
+Langflow provides the following Notion components:
+
+- **List Pages**: Retrieves a list of pages from a Notion database.
+- **List Database Properties**: Retrieves the properties of a Notion database.
+- **Add Page Content**: Adds content to a Notion page.
+- **List Users**: Retrieves a list of users with access to a Notion workspace.
+- **Update Property**: Updates the value of a property in a Notion page.
+
+Refer to the individual component documentation for more details on how to use each component in your Langflow flows.
+
+## Additional Resources
+
+- [Notion API Documentation](https://developers.notion.com/docs/getting-started)
+- [Notion Integration Capabilities](https://developers.notion.com/reference/capabilities)
+
+If you encounter any issues or have questions, please reach out to our support team or consult the Langflow community forums.
diff --git a/docs/docs/migration/compatibility.mdx b/docs/docs/migration/compatibility.mdx
new file mode 100644
index 00000000000..268214c4b36
--- /dev/null
+++ b/docs/docs/migration/compatibility.mdx
@@ -0,0 +1,56 @@
+import Admonition from "@theme/Admonition";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+
+# Compatibility with Previous Versions
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+## TLDR;
+
+- You'll need to add a few components to your flow to make it compatible with the new version of Langflow.
+- Add a Runnable Executor, connect it to the last component (a Chain or an Agent) in your flow, and connect a Chat Input and a Chat Output to the Runnable Executor. This should work _most of the time_.
+- You might also need to update the Chain or Agent component to the latest version.
+- Most Components will work as they are, but you'll need to add an Input and an Output to your flow.
+- You can use the Runnable Executor to run a LangChain runnable (which is the output of many components before 1.0)
+- We need your feedback on this, so please let us know how it goes and what you think.
+
+## Introduction
+
+Langflow now works best with a flow that has an Input and an Output and that is mostly what you'll need to add to your existing flows.
+
+Hopefully, you'll find that even though you still can work with your current flows, updating all your components to the new version of Langflow will be worth it.
+
+We've tried to make it as easy as possible for you to adapt your existing flows to work seamlessly in the new version of Langflow.
+
+## How to Adapt Your Existing Flows
+
+The steps to take are few but not always simple. Here's how you can adapt your existing flows to work seamlessly in the new version of Langflow:
+
+<Admonition type="caution">
+  <p>
+    While this should work most of the time, it might not work for all flows.
+    You might need to update the Chain or Agent component to the latest version.
+    Please let us know if you encounter any issues.
+  </p>
+</Admonition>
+
+1. **Check if your flow ends with a Chain or Agent component**.
+   - If it does not, it _should_ work as it is because it probably was not a chat flow.
+2. **Add a Runnable Executor**.
+   - Add a Runnable Executor to the end of your flow.
+   - Connect the last component (a Chain or an Agent) in your flow to the Runnable Executor.
+3. **Add a Chat Input and a Chat Output**.
+   - Add a Chat Input and a Chat Output to your flow.
+   - Connect the Chat Input to the Runnable Executor.
+   - Connect the Chat Output to the Runnable Executor.
+
+<ZoomableImage
+  alt="Docusaurus themed image"
+  sources={{
+    light: "img/runnable-executor.png",
+    dark: "img/runnable-executor.png",
+  }}
+  style={{ width: "100%", margin: "20px auto" }}
+/>
diff --git a/docs/docs/migration/migrating-to-one-point-zero.mdx b/docs/docs/migration/migrating-to-one-point-zero.mdx
new file mode 100644
index 00000000000..78ae6b6089a
--- /dev/null
+++ b/docs/docs/migration/migrating-to-one-point-zero.mdx
@@ -0,0 +1,131 @@
+import Admonition from "@theme/Admonition";
+
+# Migrating to Langflow 1.0: A Guide
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+Langflow 1.0 is a significant update that brings many exciting changes and improvements to the platform.
+This guide will walk you through the key improvements and help you migrate your existing projects to the new version.
+
+If you have any questions or need assistance during the migration process, please don't hesitate to reach out to in our [Discord](https://discord.gg/wZSWQaukgJ) or [GitHub](https://github.com/langflow-ai/langflow/issues) community.
+
+We have a special channel in our Discord server dedicated to Langflow 1.0 migration, where you can ask questions, share your experiences, and get help from the community.
+
+## TLDR;
+
+- Inputs and Outputs of Components have changed
+- We've surfaced steps that were previously run in the background
+- Continued support for LangChain and new support for multiple frameworks
+- Redesigned sidebar and customizable interaction panel
+- New Native Categories and Components
+- Improved user experience with Text and Data modes
+- CustomComponent for all components
+- Compatibility with previous versions using Runnable Executor
+- Multiple flows in the workspace
+- Improved component status
+- Ability to connect Output components to any other Component
+- Rename and edit component descriptions
+- Pass tweaks and inputs in the API using Display Name
+- Global Variables for Text Fields
+- Experimental components like SubFlow and Flow as Tool
+- Experimental State Management system with Notify and Listen components
+
+## Inputs and Outputs of Components
+
+Langflow 1.0 introduces adds the concept of Inputs and Outputs to flows, allowing a clear definition of the data flow between components. Discover how to use Inputs and Outputs to pass data between components and create more dynamic flows.
+
+[Learn more about Inputs and Outputs](../components/inputs-and-outputs)
+
+## To Compose or Not to Compose: The Choice is Yours
+
+Even though composition is still possible in Langflow 1.0, the new standard is getting data moving through the flow. This allows for more flexibility and control over the data flow in your projects.
+
+[See our example components](../examples/create-record) for examples of interweaving LangChain components with our Core components.
+
+## Continued Support for LangChain and Multiple Frameworks
+
+Langflow 1.0 continues to support LangChain while also introducing support for multiple frameworks. This is another important boon that adding the paradigm of data flow brings to the table. Find out how to leverage the power of different frameworks in your projects.
+
+[Learn more about compatibility and updating existing flows](./compatibility)
+
+## Sidebar Redesign and Customizable Playground
+
+We've expanded on the chat experience by creating a customizable interaction panel that allows you to design a panel that fits your needs and interact with it. The sidebar has also been redesigned to provide a more intuitive and user-friendly experience. Explore the new sidebar and interaction panel features to enhance your workflow.
+
+[Learn more about the Playground](../administration/playground)
+
+## New Native Categories and Components
+
+Langflow 1.0 introduces many new native categories, including Inputs, Outputs, Helpers, Experimental, Models, and more. Discover the new components available, such as Chat Input, Prompt, Files, API Request, and others.
+
+[Learn more about new components](../components/inputs-and-outputs)
+
+## New Way of Using Langflow: Text and Data (and more to come)
+
+With the introduction of Text and Data types connections between Components are more intuitive and easier to understand. This is the first step in a series of improvements to the way you interact with Langflow. Learn how to use Text, and Data and how they help you build better flows.
+
+[Learn more about Text and Record](../components/text-and-record)
+
+## CustomComponent for All Components
+
+Almost all components in Langflow 1.0 are now CustomComponents, allowing you to check and modify the code of each component. Discover how to leverage this feature to customize your components to your specific needs.
+
+[Learn more about CustomComponents](../components/custom)
+
+## Compatibility with Previous Versions
+
+To use flows built in previous versions of Langflow, you can utilize the experimental component Runnable Executor along with an Input and Output. **We'd love your feedback on this**. Learn how to adapt your existing flows to work seamlessly in the new version of Langflow.
+
+[Learn more about Compatibility with Previous Versions](./compatibility)
+
+## Multiple Flows in the Workspace
+
+Langflow 1.0 allows you to have more than one flow in the workspace and run them separately. Discover how to create and manage multiple flows within a single project.
+
+**Guide coming soon**
+
+## Improved Component Status
+
+Each component now displays its status more clearly, allowing you to quickly identify any issues or errors. Explore how to use the new component status feature to troubleshoot and optimize your flows.
+
+[Learn more about Component Status](../getting-started/workspace#component)
+
+## Connecting Output Components
+
+You can now connect Output components to any other component (that has a Text output), providing a better understanding of the data flow. Explore the possibilities of connecting Output components and how it enhances your flow's functionality.
+
+[Learn more about Inputs and Outputs](../components/inputs-and-outputs)
+
+## Renaming and Editing Component Descriptions
+
+Langflow 1.0 allows you to rename and edit the description of each component, making it easier to understand and interact with the flow. Learn how to customize your component names and descriptions for improved clarity.
+
+[Learn more about Component Descriptions](../getting-started/workspace#component-parameters)
+
+## Passing Tweaks and Inputs in the API
+
+Things got a whole lot easier. You can now pass tweaks and inputs in the API by referencing the Display Name of the component. Discover how to leverage this feature to dynamically control your flow's behavior.
+
+[Learn more about Tweaks and API inputs](../getting-started/workspace#tweaks)
+
+## Global Variables for Text Fields
+
+Global Variables can be used in any Text Field across your projects. Learn how to define and utilize Global Variables to streamline your workflow.
+
+[Learn more about Global Variables](../administration/global-env)
+
+## Experimental Components
+
+Explore the experimental components available in Langflow 1.0, such as SubFlow, which allows you to load a flow as a component dynamically, and Flow as Tool, which enables you to use a flow as a tool for an Agent.
+
+[Learn more about Experimental Components](../components/experimental)
+
+## Experimental State Management System
+
+We are experimenting with a State Management system for flows that allow components to trigger other components and pass messages between them using the Notify and Listen components. Discover how to leverage this system to create more dynamic and interactive flows.
+
+**Guide coming soon**
+
+We hope this guide helps you navigate the changes and improvements in Langflow 1.0. If you have any questions or need further assistance, please don't hesitate to reach out to us in our [Discord](https://discord.gg/wZSWQaukgJ).
diff --git a/docs/docs/starter-projects/basic-prompting.mdx b/docs/docs/starter-projects/basic-prompting.mdx
new file mode 100644
index 00000000000..dc5fc8c0fe1
--- /dev/null
+++ b/docs/docs/starter-projects/basic-prompting.mdx
@@ -0,0 +1,62 @@
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+import ReactPlayer from "react-player";
+import Admonition from "@theme/Admonition";
+
+# Basic Prompting
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+Prompts serve as the inputs to a large language model (LLM), acting as the interface between human instructions and computational tasks.
+
+By submitting natural language requests in a prompt to an LLM, you can obtain answers, generate text, and solve problems.
+
+This article demonstrates how to use Langflow's prompt tools to issue basic prompts to an LLM, and how various prompting strategies can affect your outcomes.
+
+## Prerequisites
+
+- [Langflow installed and running](../getting-started/install-langflow)
+
+- [OpenAI API key created](https://platform.openai.com)
+
+## Create the basic prompting project
+
+1. From the Langflow dashboard, click **New Project**.
+2. Select **Basic Prompting**.
+3. The **Basic Prompting** flow is created.
+
+<ZoomableImage
+  alt="Docusaurus themed image"
+  sources={{
+    light: "img/basic-prompting.png",
+    dark: "img/basic-prompting.png",
+  }}
+  style={{ width: "80%", margin: "20px auto" }}
+/>
+
+This flow allows you to chat with the **OpenAI** component via a **Prompt** component.
+Examine the **Prompt** component. The **Template** field instructs the LLM to `Answer the user as if you were a pirate.`
+This should be interesting...
+
+4. To create an environment variable for the **OpenAI** component, in the **OpenAI API Key** field, click the **Globe** button, and then click **Add New Variable**.
+   1. In the **Variable Name** field, enter `openai_api_key`.
+   2. In the **Value** field, paste your OpenAI API Key (`sk-...`).
+   3. Click **Save Variable**.
+
+## Run the basic prompting flow
+
+1. Click the **Run** button.
+   The **Interaction Panel** opens, where you can converse with your bot.
+2. Type a message and press Enter.
+   The bot responds in a markedly piratical manner!
+
+## Modify the prompt for a different result
+
+1. To modify your prompt results, in the **Prompt** template, click the **Template** field.
+   The **Edit Prompt** window opens.
+2. Change `Answer the user as if you were a pirate` to a different character, perhaps `Answer the user as if you were Harold Abelson.`
+3. Run the basic prompting flow again.
+   The response will be markedly different.
diff --git a/docs/docs/starter-projects/blog-writer.mdx b/docs/docs/starter-projects/blog-writer.mdx
new file mode 100644
index 00000000000..1fb1a52d0cf
--- /dev/null
+++ b/docs/docs/starter-projects/blog-writer.mdx
@@ -0,0 +1,75 @@
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+import ReactPlayer from "react-player";
+import Admonition from "@theme/Admonition";
+
+# Blog Writer
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+Build a blog writer with OpenAI that uses URLs for reference content.
+
+## Prerequisites
+
+- [Langflow installed and running](../getting-started/install-langflow)
+
+- [OpenAI API key created](https://platform.openai.com)
+
+## Create the Blog Writer project
+
+1. From the Langflow dashboard, click **New Project**.
+2. Select **Blog Writer**.
+3. The **Blog Writer** flow is created.
+
+<ZoomableImage
+  alt="Docusaurus themed image"
+  sources={{
+    light: "img/blog-writer.png",
+    dark: "img/blog-writer.png",
+  }}
+  style={{ width: "80%", margin: "20px auto" }}
+/>
+
+This flow creates a one-shot prompt flow with **Prompt**, **OpenAI**, and **Chat Output** components, and augments the flow with reference content and instructions from the **URL** and **Instructions** components.
+
+The **Prompt** component's default **Template** field looks like this:
+
+```bash
+Reference 1:
+
+{reference_1}
+
+---
+
+Reference 2:
+
+{reference_2}
+
+---
+
+{instructions}
+
+Blog:
+
+```
+
+The `{instructions}` value is received from the **Value** field of the **Instructions** component.
+The `reference_1` and `reference_2` values are received from the **URL** fields of the **URL** components.
+
+4. To create an environment variable for the **OpenAI** component, in the **OpenAI API Key** field, click the **Globe** button, and then click **Add New Variable**.
+   1. In the **Variable Name** field, enter `openai_api_key`.
+   2. In the **Value** field, paste your OpenAI API Key (`sk-...`).
+   3. Click **Save Variable**.
+
+## Run the Blog Writer flow
+
+1. Click the **Run** button.
+   The **Interaction Panel** opens, where you can run your one-shot flow.
+2. Click the **Lighting Bolt** icon to run your flow.
+3. The **OpenAI** component constructs a blog post with the **URL** items as context.
+   The default **URL** values are for web pages at `promptingguide.ai`, so your blog post will be about prompting LLMs.
+
+To write about something different, change the values in the **URL** components, and see what the LLM constructs.
diff --git a/docs/docs/starter-projects/document-qa.mdx b/docs/docs/starter-projects/document-qa.mdx
new file mode 100644
index 00000000000..25f5d123435
--- /dev/null
+++ b/docs/docs/starter-projects/document-qa.mdx
@@ -0,0 +1,67 @@
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+import ReactPlayer from "react-player";
+import Admonition from "@theme/Admonition";
+
+# Document QA
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+Build a question-and-answer chatbot with a document loaded from local memory.
+
+## Prerequisites
+
+- [Langflow installed and running](../getting-started/install-langflow)
+
+- [OpenAI API key created](https://platform.openai.com)
+
+## Create the Document QA project
+
+1. From the Langflow dashboard, click **New Project**.
+2. Select **Document QA**.
+3. The **Document QA** flow is created.
+
+<ZoomableImage
+  alt="Docusaurus themed image"
+  sources={{
+    light: "img/document-qa.png",
+    dark: "img/document-qa.png",
+  }}
+  style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }}
+/>
+
+This flow creates a basic chatbot with the **Chat Input**, **Prompt**, **OpenAI**, and **Chat Output** components.
+This chatbot is augmented with the **Files** component, which loads a file from your local machine into the **Prompt** component as `{Document}`.
+The **Prompt** component is instructed to answer questions based on the contents of `{Document}`.
+Including a file with the prompt gives the **OpenAI** component context it may not otherwise have access to.
+
+4. To create an environment variable for the **OpenAI** component, in the **OpenAI API Key** field, click the **Globe** button, and then click **Add New Variable**.
+
+   1. In the **Variable Name** field, enter `openai_api_key`.
+   2. In the **Value** field, paste your OpenAI API Key (`sk-...`).
+   3. Click **Save Variable**.
+
+5. To select a document to load, in the **Files** component, click within the **Path** field.
+   1. Select a local file, and then click **Open**.
+   2. The file name appears in the field.
+      <Admonition type="tip">
+        The file must be of an extension type listed
+        [here](https://github.com/langflow-ai/langflow/blob/dev/src/backend/base/langflow/base/data/utils.py#L13).
+      </Admonition>
+
+## Run the Document QA flow
+
+1. Click the **Run** button.
+   The **Interaction Panel** opens, where you can converse with your bot.
+2. Type a message and press Enter.
+   For this example, we loaded an error log `.txt` file and asked, "What went wrong?"
+   The bot responded:
+
+```
+The issue occurred during the execution of migrations in the application. Specifically, an error was raised by the Alembic library, indicating that new upgrade operations were detected that had not been accounted for in the existing migration scripts. The operation in question involved modifying the nullable property of a column (apikey, created_at) in the database, with details about the existing type (DATETIME()), existing server default, and other properties.
+```
+
+This result indicates that the bot received the loaded document and understood the context surrounding the vague question. It also correctly identified the issue in the error log, and followed up with appropriate troubleshooting suggestions. Nice!
diff --git a/docs/docs/starter-projects/memory-chatbot.mdx b/docs/docs/starter-projects/memory-chatbot.mdx
new file mode 100644
index 00000000000..a620dd7144e
--- /dev/null
+++ b/docs/docs/starter-projects/memory-chatbot.mdx
@@ -0,0 +1,81 @@
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+import ReactPlayer from "react-player";
+import Admonition from "@theme/Admonition";
+
+# Memory Chatbot
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+This flow extends the [basic prompting flow](./basic-prompting) to include chat memory for unique SessionIDs.
+
+## Prerequisites
+
+- [Langflow installed and running](../getting-started/install-langflow)
+
+- [OpenAI API key created](https://platform.openai.com)
+
+## Create the memory chatbot project
+
+1. From the Langflow dashboard, click **New Project**.
+2. Select **Memory Chatbot**.
+3. The **Memory Chatbot** flow is created.
+
+<ZoomableImage
+  alt="Docusaurus themed image"
+  sources={{
+    light: "img/memory-chatbot.png",
+    dark: "img/memory-chatbot.png",
+  }}
+  style={{
+    width: "80%",
+    margin: "20px auto",
+    display: "flex",
+    justifyContent: "center",
+  }}
+/>
+
+This flow creates a basic chatbot with the **Chat Input**, **Prompt**, and **OpenAI** components.
+This chatbot is augmented with the **Chat Memory** component, which stores messages submitted via **Chat Input** and prepends them to subsequent prompts to OpenAI via `{context}`.
+The **Chat History** component gives the **OpenAI** component a memory of previous questions.
+
+4. To create an environment variable for the **OpenAI** component, in the **OpenAI API Key** field, click the **Globe** button, and then click **Add New Variable**.
+   1. In the **Variable Name** field, enter `openai_api_key`.
+   2. In the **Value** field, paste your OpenAI API Key (`sk-...`).
+   3. Click **Save Variable**.
+
+## Run the memory chatbot flow
+
+1. Click the **Run** button.
+   The **Interaction Panel** opens, where you can converse with your bot.
+2. Type a message and press Enter.
+   The bot will respond according to the template in the **Prompt** component.
+3. Type more questions. In the **Outputs** log, your queries are logged in order. Up to 5 queries are stored by default. Try asking `What is the first subject I asked you about?` to see where the LLM's memory disappears.
+
+## Modify the Session ID field to have multiple conversations
+
+`SessionID` is a unique identifier in Langchain for a conversation session between a chatbot and a client.
+A `SessionID` is created when a conversation is initiated, and then associated with all subsequent messages during that session.
+
+In the **Memory Chatbot** flow you created, the **Chat Memory** component references past interactions with **Chat Input** by **Session ID**.
+You can demonstrate this by modifying the **Session ID** value to switch between conversation histories.
+
+1. In the **Session ID** field of the **Chat Memory** and **Chat Input** components, change the **Session ID** value from `MySessionID` to `AnotherSessionID`.
+2. Click the **Run** button to run your flow.
+   In the **Interaction Panel**, you will have a new conversation. (You may need to clear the cache with the **Eraser** button).
+3. Type a few questions to your bot.
+4. In the **Session ID** field of the **Chat Memory** and **Chat Input** components, change the **Session ID** value back to `MySessionID`.
+5. Run your flow.
+   The **Outputs** log of the **Interaction Panel** displays the history from your initial chat with `MySessionID`.
+
+## Store Session ID as a Langflow variable
+
+To store **Session ID** as a Langflow variable, in the **Session ID** field, click the **Globe** button, and then click **Add New Variable**.
+
+1. In the **Variable Name** field, enter a name like `customer_chat_emea`.
+2. In the **Value** field, enter a value like `1B5EBD79-6E9C-4533-B2C8-7E4FF29E983B`.
+3. Click **Save Variable**.
+4. Apply this variable to **Chat Input**.
diff --git a/docs/docs/starter-projects/vector-store-rag.mdx b/docs/docs/starter-projects/vector-store-rag.mdx
new file mode 100644
index 00000000000..6fb514d9ac6
--- /dev/null
+++ b/docs/docs/starter-projects/vector-store-rag.mdx
@@ -0,0 +1,106 @@
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+import ReactPlayer from "react-player";
+import Admonition from "@theme/Admonition";
+
+# Vector Store RAG
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+Retrieval Augmented Generation, or RAG, is a pattern for training LLMs on your data and querying it.
+
+RAG is backed by a **vector store**, a vector database which stores embeddings of the ingested data.
+
+This enables **vector search**, a more powerful and context-aware search.
+
+We've chosen [Astra DB](https://astra.datastax.com/signup?utm_source=langflow-pre-release&utm_medium=referral&utm_campaign=langflow-announcement&utm_content=create-a-free-astra-db-account) as the vector database for this starter project, but you can follow along with any of Langflow's vector database options.
+
+## Prerequisites
+
+- [Langflow installed and running](../getting-started/install-langflow)
+
+- [OpenAI API key](https://platform.openai.com)
+
+- [An Astra DB vector database created](https://docs.datastax.com/en/astra-db-serverless/get-started/quickstart.html) with:
+  - Application token (`AstraCS:WSnyFUhRxsrg…​`)
+  - API endpoint (`https://ASTRA_DB_ID-ASTRA_DB_REGION.apps.astra.datastax.com`)
+
+## Create the vector store RAG project
+
+1. From the Langflow dashboard, click **New Project**.
+2. Select **Vector Store RAG**.
+3. The **Vector Store RAG** flow is created.
+
+<ZoomableImage
+  alt="Docusaurus themed image"
+  sources={{
+    light: "img/vector-store-rag.png",
+    dark: "img/vector-store-rag.png",
+  }}
+  style={{ width: "80%", margin: "20px auto" }}
+/>
+
+The vector store RAG flow is built of two separate flows.
+
+The **ingestion** flow (bottom of the screen) populates the vector store with data from a local file.
+It ingests data from a file (**File**), splits it into chunks (**Recursive Character Text Splitter**), indexes it in Astra DB (**Astra DB**), and computes embeddings for the chunks (**OpenAI Embeddings**).
+This forms a "brain" for the query flow.
+
+The **query** flow (top of the screen) allows users to chat with the embedded vector store data. It's a little more complex:
+
+- **Chat Input** component defines where to put the user input coming from the Playground.
+- **OpenAI Embeddings** component generates embeddings from the user input.
+- **Astra DB Search** component retrieves the most relevant Data from the Astra DB database.
+- **Text Output** component turns the Data into Text by concatenating them and also displays it in the Playground.
+- **Prompt** component takes in the user input and the retrieved Data as text and builds a prompt for the OpenAI model.
+- **OpenAI** component generates a response to the prompt.
+- **Chat Output** component displays the response in the Playground.
+
+4. To create an environment variable for the **OpenAI** component, in the **OpenAI API Key** field, click the **Globe** button, and then click **Add New Variable**.
+
+   1. In the **Variable Name** field, enter `openai_api_key`.
+   2. In the **Value** field, paste your OpenAI API Key (`sk-...`).
+   3. Click **Save Variable**.
+
+5. To create environment variables for the **Astra DB** and **Astra DB Search** components:
+   1. In the **Token** field, click the **Globe** button, and then click **Add New Variable**.
+   2. In the **Variable Name** field, enter `astra_token`.
+   3. In the **Value** field, paste your Astra application token (`AstraCS:WSnyFUhRxsrg…​`).
+   4. Click **Save Variable**.
+   5. Repeat the above steps for the **API Endpoint** field, pasting your Astra API Endpoint instead (`https://ASTRA_DB_ID-ASTRA_DB_REGION.apps.astra.datastax.com`).
+   6. Add the global variable to both the **Astra DB** and **Astra DB Search** components.
+
+## Run the vector store RAG flow
+
+1. Click the **Playground** button.
+   The **Playground** opens, where you can chat with your data.
+2. Type a message and press Enter. (Try something like "What topics do you know about?")
+3. The bot will respond with a summary of the data you've embedded.
+
+For example, we embedded a PDF of an engine maintenance manual and asked, "How do I change the oil?"
+The bot responds:
+
+```
+To change the oil in the engine, follow these steps:
+
+Make sure the engine is turned off and cool before starting.
+
+Locate the oil drain plug on the bottom of the engine.
+
+Place a drain pan underneath the oil drain plug to catch the old oil...
+```
+
+We can also get more specific:
+
+```
+User
+What size wrench should I use to remove the oil drain cap?
+
+AI
+You should use a 3/8 inch wrench to remove the oil drain cap.
+```
+
+This is the size the engine manual lists as well. This confirms our flow works, because the query returns the unique knowledge we embedded from the Astra vector store.
diff --git a/docs/docs/guides/chatprompttemplate_guide.mdx b/docs/docs/tutorials/chatprompttemplate_guide.mdx
similarity index 92%
rename from docs/docs/guides/chatprompttemplate_guide.mdx
rename to docs/docs/tutorials/chatprompttemplate_guide.mdx
index 05a8f3333bf..9fd6ca1ea75 100644
--- a/docs/docs/guides/chatprompttemplate_guide.mdx
+++ b/docs/docs/tutorials/chatprompttemplate_guide.mdx
@@ -2,8 +2,13 @@ import ThemedImage from "@theme/ThemedImage";
 import useBaseUrl from "@docusaurus/useBaseUrl";
 import ZoomableImage from "/src/theme/ZoomableImage.js";
 import ReactPlayer from "react-player";
+import Admonition from "@theme/Admonition";
 
-# Building chatbots with System Message
+# Build Chatbots with the System Message Component
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
 
 ## Overview
 
@@ -62,7 +67,7 @@ In this guide, we will modify the "Basic Chat with Prompt and History" example,
 
 16. You should now be able to see and use the defined variables in the chat interface.
 
-17. Click on 'role' to examine the variable you established in the canvas.
+17. Click on 'role' to examine the variable you established in the workspace.
 
 18. Now, let's define the 'behavior' variable.
 
diff --git a/docs/docs/tutorials/custom_components.mdx b/docs/docs/tutorials/custom_components.mdx
new file mode 100644
index 00000000000..6996bea7216
--- /dev/null
+++ b/docs/docs/tutorials/custom_components.mdx
@@ -0,0 +1,408 @@
+---
+description: Custom Components
+hide_table_of_contents: true
+---
+
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+import Admonition from "@theme/Admonition";
+
+# Custom Components
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+In Langflow, a Custom Component is a special component type that allows users to extend the platform's functionality by creating their own reusable and configurable components.
+
+A Custom Component is created from a user-defined Python script that uses the _`CustomComponent`_ class provided by the Langflow library. These components can be as simple as a basic function that takes and returns a string or as complex as a combination of multiple sub-components and API calls.
+
+Let's take a look at the basic rules and features. Then we'll go over an example.
+
+**TL;DR**
+
+- Create a class that inherits from _`CustomComponent`_ and contains a _`build`_ method.
+- Use arguments with [Type Annotations (or Type Hints)](https://docs.python.org/3/library/typing.html) of the _`build`_ method to create component fields.
+- Use the _`build_config`_ method to customize how these fields look and behave.
+- Set up a folder with your components to load them up in Langflow's sidebar.
+
+Here is an example:
+
+<div style={{
+        display: "flex",
+        justifyContent: "center",
+    }}>
+    <CH.Code linuNumbers={false}>
+
+```python
+from langflow.custom import CustomComponent
+from langchain.schema import Document
+
+class DocumentProcessor(CustomComponent):
+    display_name = "Document Processor"
+    description = "This component processes a document"
+
+    def build_config(self) -> dict:
+        options = ["Uppercase", "Lowercase", "Titlecase"]
+        return {
+            "function": {"options": options,
+                    "value": options[0]}}
+
+    def build(self, document: Document, function: str) -> Document:
+        if isinstance(document, list):
+            document = document[0]
+        page_content = document.page_content
+        if function == "Uppercase":
+            page_content = page_content.upper()
+        elif function == "Lowercase":
+            page_content = page_content.lower()
+        elif function == "Titlecase":
+            page_content = page_content.title()
+        self.repr_value = f"Result of {function} function: {page_content}"
+        return Document(page_content=page_content)
+```
+
+    </CH.Code>
+
+    <ZoomableImage
+    alt="Document Processor Component"
+    sources={{
+        light: "img/document_processor.png",
+        dark: "img/document_processor.png",
+    }}
+    style={{
+        margin: "0 auto",
+        display: "flex",
+        justifyContent: "center",
+    }}
+    />
+
+</div>
+
+---
+
+## Rules
+
+The Python script for every Custom Component should follow a set of rules. Let's go over them one by one:
+
+<CH.Scrollycoding rows={20} className={""}>
+
+### Rule 1
+
+The script must contain a **single class** that inherits from _`CustomComponent`_.
+
+```python
+from langflow.custom import CustomComponent
+from langchain.schema import Document
+
+class MyComponent(CustomComponent):
+    display_name = "Custom Component"
+    description = "This is a custom component"
+
+    def build_config(self) -> dict:
+        ...
+
+    def build(self, document: Document, function: str) -> Document:
+        ...
+```
+
+---
+
+### Rule 2
+
+This class requires a _`build`_ method used to run the component and define its fields.
+
+```python
+from langflow.custom import CustomComponent
+from langchain.schema import Document
+
+class MyComponent(CustomComponent):
+    display_name = "Custom Component"
+    description = "This is a custom component"
+
+    def build_config(self) -> dict:
+        ...
+
+    # focus
+    # mark
+    def build(self) -> Document:
+        ...
+```
+
+---
+
+The [Return Type Annotation](https://docs.python.org/3/library/typing.html) of the _`build`_ method defines the component type (e.g., Chain, BaseLanguageModel, or basic Python types). Check out all supported types in the [component reference](../components/custom).
+
+```python
+from langflow.custom import CustomComponent
+from langchain.schema import Document
+
+class MyComponent(CustomComponent):
+    display_name = "Custom Component"
+    description = "This is a custom component"
+
+    def build_config(self) -> dict:
+        ...
+
+    # focus[20:31]
+    # mark
+    def build(self) -> Document:
+        ...
+```
+
+---
+
+```python
+from langflow.custom import CustomComponent
+from langchain.schema import Document
+
+class MyComponent(CustomComponent):
+    display_name = "Custom Component"
+    description = "This is a custom component"
+
+    def build_config(self) -> dict:
+        ...
+
+    def build(self) -> Document:
+        ...
+```
+
+### Rule 3
+
+The class can have a [_`build_config`_](focus://8) method, which defines configuration fields for the component. The [_`build_config`_](focus://8) method should always return a dictionary with specific keys representing the field names and their corresponding configurations. It must follow the format described below:
+
+- Top-level keys are field names.
+- Their values are also of type _`dict`_. They specify the behavior of the generated fields.
+
+Check out the [component reference](../components/custom) for more details on the available field configurations.
+
+---
+
+```python
+from langflow.custom import CustomComponent
+from langchain.schema import Document
+
+class MyComponent(CustomComponent):
+    display_name = "Custom Component"
+    description = "This is a custom component"
+
+    def build_config(self) -> dict:
+        ...
+
+    def build(self) -> Document:
+        ...
+```
+
+## Example
+
+Let's create a custom component that processes a document (_`langchain.schema.Document`_) using a simple function.
+
+---
+
+### Pick a display name
+
+To start, let's choose a name for our component by adding a _`display_name`_ attribute. This name will appear on the workspace. The name of the class is not relevant, but let's call it _`DocumentProcessor`_.
+
+```python
+from langflow.custom import CustomComponent
+from langchain.schema import Document
+
+# focus
+class DocumentProcessor(CustomComponent):
+    # focus
+    display_name = "Document Processor"
+    description = "This is a custom component"
+
+    def build_config(self) -> dict:
+        ...
+
+    def build(self) -> Document:
+        ...
+```
+
+---
+
+### Write a description
+
+We can also write a description for it using a _`description`_ attribute.
+
+```python
+from langflow.custom import CustomComponent
+from langchain.schema import Document
+
+class DocumentProcessor(CustomComponent):
+    display_name = "Document Processor"
+    description = "This component processes a document"
+
+    def build_config(self) -> dict:
+        ...
+
+    def build(self) -> Document:
+        ...
+```
+
+---
+
+```python
+from langflow.custom import CustomComponent
+from langchain.schema import Document
+
+class DocumentProcessor(CustomComponent):
+    display_name = "Document Processor"
+    description = "This component processes a document"
+
+    def build_config(self) -> dict:
+        ...
+
+    def build(self, document: Document, function: str) -> Document:
+        if isinstance(document, list):
+            document = document[0]
+        page_content = document.page_content
+        if function == "Uppercase":
+            page_content = page_content.upper()
+        elif function == "Lowercase":
+            page_content = page_content.lower()
+        elif function == "Titlecase":
+            page_content = page_content.title()
+        self.repr_value = f"Result of {function} function: {page_content}"
+        return Document(page_content=page_content)
+```
+
+### Add the build method
+
+Here, the build method takes two input parameters: _`document`_, representing the input document to be processed, and _`function`_, a string representing the selected text transformation to be applied (either "Uppercase," "Lowercase," or "Titlecase"). The method processes the text content of the input Document based on the selected function.
+
+The attribute _`repr_value`_ is used to display the result of the component on the workspace. It is optional and can be used to display any string value.
+
+The return type is _`Document`_.
+
+---
+
+### Customize the component fields
+
+The _`build_config`_ method is here defined to customize the component fields.
+
+- _`options`_ determines that the field will be a dropdown menu. The list values and field type must be _`str`_.
+- _`value`_ is the default value of the field.
+- _`display_name`_ is the name of the field to be displayed.
+
+```python
+from langflow.custom import CustomComponent
+from langchain.schema import Document
+
+class DocumentProcessor(CustomComponent):
+    display_name = "Document Processor"
+    description = "This component processes a document"
+
+    def build_config(self) -> dict:
+        options = ["Uppercase", "Lowercase", "Titlecase"]
+        return {
+            "function": {"options": options,
+                     "value": options[0],
+                     "display_name": "Function"
+                        },
+            "document": {"display_name": "Document"}
+                }
+
+    def build(self, document: Document, function: str) -> Document:
+        if isinstance(document, list):
+            document = document[0]
+        page_content = document.page_content
+        if function == "Uppercase":
+            page_content = page_content.upper()
+        elif function == "Lowercase":
+            page_content = page_content.lower()
+        elif function == "Titlecase":
+            page_content = page_content.title()
+        self.repr_value = f"Result of {function} function: {page_content}"
+        return Document(page_content=page_content)
+```
+
+</CH.Scrollycoding>
+
+All done! This is what our script and brand-new custom component look like:
+
+<div style={{
+        display: "flex",
+        justifyContent: "center",
+    }}>
+
+    <ZoomableImage
+    alt="Document Processor Code"
+    sources={{
+        light: "img/document_processor_code.png",
+        dark: "img/document_processor_code.png",
+    }}
+    style={{
+        maxWidth: "100%",
+        margin: "0 auto",
+        display: "flex",
+        justifyContent: "center",
+    }}
+
+/>
+
+    <ZoomableImage
+    alt="Document Processor Component"
+    sources={{
+        light: "img/document_processor.png",
+        dark: "img/document_processor.png",
+    }}
+    style={{
+        width: "40%",
+        margin: "0 auto",
+        display: "flex",
+        justifyContent: "center",
+    }}
+    />
+
+</div>
+
+---
+
+## Load Custom Components
+
+For advanced customization, Langflow offers the option to create and load custom components outside of the standard interface. This process involves creating the desired components using a text editor and loading them using the Langflow CLI.
+
+### Folder Structure
+
+Create a folder that follows the same structural conventions as the [config.yaml](https://github.com/langflow-ai/langflow/blob/dev/src/backend/base/langflow/config.yaml) file. Inside this main directory, use a `custom_components` subdirectory for your custom components.
+
+Inside `custom_components`, you can create a Python file for each component. Similarly, any custom agents should be housed in an `agents` subdirectory.
+
+If you use a subdirectory name that is not in our config.yaml file, your component will appear in an `Other` category in the sidebar.
+
+Your structure should look something like this:
+
+```
+.
+└── custom_components
+    ├── document_processor.py
+    └── ...
+└── agents
+    └── ...
+└── my_agents <-- Other category
+    └── ...
+```
+
+### Load Custom Components
+
+The recommended way to load custom components is to set the _`LANGFLOW_COMPONENTS_PATH`_ environment variable to the path of your custom components directory. Then, run the Langflow CLI as usual.
+
+```bash
+export LANGFLOW_COMPONENTS_PATH='["/path/to/components"]'
+langflow run
+```
+
+Alternatively, you can specify the path to your custom components using the _`--components-path`_ argument when running the Langflow CLI, as shown below:
+
+```bash
+langflow run --components-path /path/to/components
+```
+
+Langflow will attempt to load all of the components found in the specified directory. If a component fails to load due to errors in the component's code, Langflow will print an error message to the console but will continue loading the rest of the components.
+
+### Interact with Custom Components
+
+Once your custom components have been loaded successfully, they will appear in Langflow's sidebar. From there, you can add them to your Langflow workspace for use. However, please note that components with errors will not be available for addition to the workspace. Always ensure your code is error-free before attempting to load components.
+
+Remember, creating custom components allows you to extend the functionality of Langflow to better suit your unique needs. Happy coding!
diff --git a/docs/docs/guides/loading_document.mdx b/docs/docs/tutorials/loading_document.mdx
similarity index 90%
rename from docs/docs/guides/loading_document.mdx
rename to docs/docs/tutorials/loading_document.mdx
index 73fb8596840..592332eee9b 100644
--- a/docs/docs/guides/loading_document.mdx
+++ b/docs/docs/tutorials/loading_document.mdx
@@ -2,8 +2,13 @@ import ThemedImage from "@theme/ThemedImage";
 import useBaseUrl from "@docusaurus/useBaseUrl";
 import ZoomableImage from "/src/theme/ZoomableImage.js";
 import ReactPlayer from "react-player";
+import Admonition from "@theme/Admonition";
 
-# Integrating documents with prompt variables
+# Integrate Documents with Prompt Variables
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
 
 ## Overview
 
@@ -39,7 +44,7 @@ This guide takes you through the process of augmenting the "Basic Chat with Prom
 
 6. Next, open the search bar and type "web".
 
-7. Drag and drop a WebBaseLoader (or any other loader of your choice) onto the canvas.
+7. Drag and drop a WebBaseLoader (or any other loader of your choice) onto the workspace.
 
 8. Connect this loader to the `{context}` variable that we just added.
 
diff --git a/docs/docs/tutorials/rag-with-astradb.mdx b/docs/docs/tutorials/rag-with-astradb.mdx
new file mode 100644
index 00000000000..0aa0dafe8cd
--- /dev/null
+++ b/docs/docs/tutorials/rag-with-astradb.mdx
@@ -0,0 +1,192 @@
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+import Admonition from "@theme/Admonition";
+
+# 🌟 RAG with Astra DB
+
+<Admonition type="warning" title="warning">
+This page may contain outdated information. It will be updated as soon as possible.
+</Admonition>
+
+This guide will walk you through how to build a RAG (Retrieval Augmented Generation) application using **Astra DB** and **Langflow**.
+
+[Astra DB](https://www.datastax.com/products/datastax-astra?utm_source=langflow-pre-release&utm_medium=referral&utm_campaign=langflow-announcement&utm_content=astradb) is a cloud-native database built on Apache Cassandra that is optimized for the cloud. It is a fully managed database-as-a-service that simplifies operations and reduces costs. Astra DB is built on the same technology that powers the largest Cassandra deployments in the world.
+
+In this guide, we will use Astra DB as a vector store to store and retrieve the documents that will be used by the RAG application to generate responses.
+
+<Admonition type="tip">
+  This guide assumes that you have Langflow up and running. If you are new to
+  Langflow, you can check out the [Getting
+  Started](../getting-started/install-langflow) guide.
+</Admonition>
+
+TLDR;
+
+- [Create a free Astra DB account](https://astra.datastax.com/signup?utm_source=langflow-pre-release&utm_medium=referral&utm_campaign=langflow-announcement&utm_content=create-a-free-astra-db-account)
+- Create a new database, get a **Token** and the **API Endpoint**
+- Start Langflow and click on the **New Project** button and look for Vector Store RAG. This will create a new project with the necessary components
+- Import the project into Langflow by dropping it on the Workspace or My Collection page
+- Update the **Token** and **API Endpoint** in the **Astra DB** components
+- Update the OpenAI API key in the **OpenAI** components
+- Run the ingestion flow which is the one that uses the **Astra DB** component
+- Click on the ⚡ _Run_ button and start interacting with your RAG application
+
+# First things first
+
+## Create an Astra DB Database
+
+To get started, you will need to [create an Astra DB database](https://astra.datastax.com/signup?utm_source=langflow-pre-release&utm_medium=referral&utm_campaign=langflow-announcement&utm_content=create-an-astradb-database).
+
+Once you have created an account, you will be taken to the Astra DB dashboard. Click on the **Create Database** button.
+
+<ZoomableImage
+  alt="Docusaurus themed image"
+  sources={{
+    light: "img/astra-create-database.png",
+    dark: "img/astra-create-database.png",
+  }}
+  style={{ width: "80%", margin: "20px auto" }}
+/>
+
+Now you will need to configure your database. Choose the **Serverless (Vector)** deployment type, and pick a Database name, provider and region.
+
+After you have configured your database, click on the **Create Database** button.
+
+<ZoomableImage
+  alt="Docusaurus themed image"
+  sources={{
+    light: "img/astra-configure-deployment.png",
+    dark: "img/astra-configure-deployment.png",
+  }}
+  style={{ width: "80%", margin: "20px auto" }}
+/>
+
+Once your database is initialized, to the right of the page, you will see the _Database Details_ section which contains a button for you to copy the **API Endpoint** and another to generate a **Token**.
+
+<ZoomableImage
+  alt="Docusaurus themed image"
+  sources={{
+    light: "img/astra-generate-token.png",
+    dark: "img/astra-generate-token.png",
+  }}
+  style={{ width: "50%", margin: "20px auto" }}
+/>
+
+Now we are all set to start building our RAG application using Astra DB and Langflow.
+
+## (Optional) Duplicate the Langflow 1.0 HuggingFace Space
+
+If you haven't already, now is the time to launch Langflow. To make things easier, you can duplicate our [Langflow 1.0 Space](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true) which sets up a Langflow instance just for you.
+
+## Open the Vector Store RAG Project in Langflow
+
+Run Langflow and open the UI.
+
+In the Langflow dashboard, click the **New Project** button and select the **Vector Store RAG** project. This will open a starter project with the necessary components to run a RAG application using Astra DB.
+
+This project consists of two flows. The simpler one is the **Ingestion Flow** which is responsible for ingesting the documents into the Astra DB database.
+
+Your first step should be to understand what each flow does and how they interact with each other.
+
+The ingestion flow consists of:
+
+- **Files** component that uploads a text file to Langflow
+- **Recursive Character Text Splitter** component that splits the text into smaller chunks
+- **OpenAIEmbeddings** component that generates embeddings for the text chunks
+- **Astra DB** component that stores the text chunks in the Astra DB database
+
+<ZoomableImage
+  alt="Docusaurus themed image"
+  sources={{
+    light: "img/astra-ingestion-flow.png",
+    dark: "img/astra-ingestion-flow.png",
+  }}
+  style={{ width: "80%", margin: "20px auto" }}
+/>
+
+Now, let's update the **Astra DB** and **Astra DB Search** components with the **Token** and **API Endpoint** that we generated earlier, and the OpenAI Embeddings components with your OpenAI API key.
+
+<ZoomableImage
+  alt="Docusaurus themed image"
+  sources={{
+    light: "img/astra-ingestion-fields.png",
+    dark: "img/astra-ingestion-fields.png",
+  }}
+  style={{ width: "80%", margin: "20px auto" }}
+/>
+
+And run it! This will ingest the Text data from your file into the Astra DB database.
+
+<ZoomableImage
+  alt="Docusaurus themed image"
+  sources={{
+    light: "img/astra-ingestion-run.png",
+    dark: "img/astra-ingestion-run.png",
+  }}
+  style={{ width: "80%", margin: "20px auto" }}
+/>
+
+Now, on to the **RAG Flow**. This flow is responsible for generating responses to your queries. It will define all of the steps from getting the User's input to generating a response and displaying it in the Playground.
+
+The RAG flow is a bit more complex. It consists of:
+
+- **Chat Input** component that defines where to put the user input coming from the Playground
+- **OpenAI Embeddings** component that generates embeddings from the user input
+- **Astra DB Search** component that retrieves the most relevant Data from the Astra DB database
+- **Text Output** component that turns the Data into Text by concatenating them and also displays it in the Playground
+  - One interesting point you'll see here is that this component is named `Extracted Chunks`, and that is how it will appear in the Playground
+- **Prompt** component that takes in the user input and the retrieved Data as text and builds a prompt for the OpenAI model
+- **OpenAI** component that generates a response to the prompt
+- **Chat Output** component that displays the response in the Playground
+
+<ZoomableImage
+  alt="Docusaurus themed image"
+  sources={{
+    light: "img/astra-rag-flow.png",
+    dark: "img/astra-rag-flow.png",
+  }}
+  style={{ width: "80%", margin: "20px auto" }}
+/>
+
+To run it all we have to do is click on the **![Playground icon](/logos/botmessage.svg)Playground** button and start interacting with your RAG application.
+
+<ZoomableImage
+  alt="Docusaurus themed image"
+  sources={{
+    light: "img/astra-rag-flow-run.png",
+    dark: "img/astra-rag-flow-run.png",
+  }}
+  style={{ width: "80%", margin: "20px auto" }}
+/>
+
+This opens the Playground where you can chat with your data.
+
+Because this flow has a **Chat Input** and a **Text Output** component, the Panel displays a chat input at the bottom and the Extracted Chunks section on the left.
+
+<ZoomableImage
+  alt="Docusaurus themed image"
+  sources={{
+    light: "img/astra-rag-flow-interaction-panel.png",
+    dark: "img/astra-rag-flow-interaction-panel.png",
+  }}
+  style={{ width: "80%", margin: "20px auto" }}
+/>
+
+Once we interact with it we get a response and the Extracted Chunks section is updated with the retrieved Data.
+
+<ZoomableImage
+  alt="Docusaurus themed image"
+  sources={{
+    light: "img/astra-rag-flow-interaction-panel-interaction.png",
+    dark: "img/astra-rag-flow-interaction-panel-interaction.png",
+  }}
+  style={{ width: "80%", margin: "20px auto" }}
+/>
+
+And that's it! You have successfully ran a RAG application using Astra DB and Langflow.
+
+# Conclusion
+
+In this guide, we have learned how to run a RAG application using Astra DB and Langflow.
+We have seen how to create an Astra DB database, import the Astra DB RAG Flows project into Langflow, and run the ingestion and RAG flows.
diff --git a/docs/docs/whats-new/a-new-chapter-langflow.mdx b/docs/docs/whats-new/a-new-chapter-langflow.mdx
new file mode 100644
index 00000000000..ccdaf8426a2
--- /dev/null
+++ b/docs/docs/whats-new/a-new-chapter-langflow.mdx
@@ -0,0 +1,96 @@
+# A new chapter for Langflow
+
+# First things first
+
+**Thank you all for being part of the Langflow community**. The journey so far has been amazing and we are happy to have you with us.
+
+We have some exciting news to share with you. Langflow is changing, and we want to tell you all about it.
+
+## Where have we been?
+
+We spent the last few months working on a new version of Langflow. We wanted to make it more powerful, more flexible, and easier to use.
+We're moving from version 0.6 straight to 1.0 (preview). This is a big change, and we want to explain why we're doing it and what it means for you.
+
+## Why?
+
+In the past year, we learned a lot from the community and our users. We saw the potential of Langflow and the need for a more powerful and flexible tool for building conversational AI applications (and beyond).
+We realized that Langflow was hiding things from you that would really help you build better and more complex conversational AI applications. So we decided to make a big change.
+
+## The only way to go is forward
+
+From all the people we talked to, we learned that the most important thing for (most of) them is to have a tool that is easy to use, but also powerful and controllable. They also told us that Langflow's transparency could be improved.
+
+In those points, we saw an opportunity to make Langflow much more powerful and flexible, while also making it easier to use and understand.
+
+One key change you'll notice is that projects now require you to define Inputs and Outputs.
+This is a big change, but it's also a big improvement.
+It allows you to define the structure of your conversation and the data that flows through it.
+This makes it easier to understand and control your conversation.
+
+This change comes with a new way of visualizing your projects. Before 1.0 you would connect Components to ultimately build one final Component that was processed behind the scenes.
+Now, each step of the process is defined by you, is visible on the workspace, and can be monitored and controlled by you. This makes it so that Composition is now just another way of building in Langflow. **Now data flows through your project more transparently**.
+
+The caveat is existing projects may need some new Components to get them back to their full functionality.
+[We've made this as easy as possible](../migration/compatibility), and there will be improvements to it as we get feedback in our Discord server and on GitHub.
+
+## Custom Interactions
+
+The moment we decided to make this change, we saw the potential to make Langflow even more yours.
+By having a clear definition of Inputs and Outputs, we could build the experience around that which led us to create the **Playground**.
+
+When building a project testing and debugging is crucial. The Playground is a tool that changes dynamically based on the Inputs and Outputs you defined in your project.
+
+For example, let's say you are building a simple RAG application. Generally, you have an Input, some references that come from a Vector Store Search, a Prompt and the answer.
+Now, you could plug the output of your Prompt into a [Text Output](../components/inputs-and-outputs), rename that to "Prompt Result" and see the output of your Prompt in the Playground.
+
+{/* Add image here of the described above */}
+
+This is just one example of how the Playground can help you build and debug your projects.
+
+We have many planned features for the Playground, and we're excited to see how you use it and what you think of it.
+
+## An easier start
+
+The experience for the first-time user is also something we wanted to improve.
+
+Meet the new and improved **New Project** screen. It's now easier to start a new project, and you can choose from a list of starter projects to get you started.
+
+{/* Add new project image */}
+
+We wanted to create start projects that would help you learn about new features and also give you a head start on your projects.
+
+For now, we have:
+
+- **[Basic Prompting (Hello, World)](/starter-projects/basic-prompting)**: A simple flow that shows you how to use the Prompt Component and how to talk like a pirate.
+- **[Vector Store RAG](/tutorials/rag-with-astradb)**: A flow that shows you how to ingest data into a Vector Store and then use it to run a RAG application.
+- **[Memory Chatbot](/starter-projects/memory-chatbot)**: This one shows you how to create a simple chatbot that can remember things about the user.
+- **[Document QA](/starter-projects/document-qa)**: This flow shows you how to build a simple flow that helps you get answers about a document.
+- **[Blog Writer](/starter-projects/blog-writer)**: Shows you how you can expand on the Prompt variables and be creative about what inputs you add to it.
+
+As always, your feedback is invaluable, so please let us know what you think of the new starter projects and what you would like to see in the future.
+
+## Less is more
+
+We added many new Components to Langflow and updated some of the existing ones, and we will deprecate some of them.
+
+The idea is that Langflow has evolved, and we want to make sure that the Components you use are the best they can be.
+Some of them don't work well with the others, and some of them are just not needed anymore.
+
+We are working on a list of Components that will be deprecated.
+In the preview stages of 1.0, we will have a smaller list of Components so that we make sure that the ones we have are the best they can be.
+Regardless, community feedback is very important in this matter, so please let us know what you think of the new Components and which ones you miss.
+
+We are aiming at having a more stable and reliable set of Components that helps you get quickly to useful results.
+This also means that your contributions in the [Langflow Store](https://langflow.store) and throughout the community are more important than ever.
+
+## What's next?
+
+Langflow went through a big change, and we are excited to see how you use it and what you think of it.
+
+We plan to add more types of Input and Output like Image and Audio, and we also plan to add more Components to help you build more complex projects.
+
+We also have some experimental features like a State Management System (so cool!) and a new way of building Grouped Components that we are excited to show you.
+
+## Reach out
+
+One last time, we want to thank you for being part of the Langflow community. Your feedback is invaluable, and we want to hear from you.
diff --git a/docs/docusaurus.config.js b/docs/docusaurus.config.js
index 35d6c1e5e63..e42512b91b2 100644
--- a/docs/docusaurus.config.js
+++ b/docs/docusaurus.config.js
@@ -7,13 +7,14 @@ module.exports = {
   title: "Langflow Documentation",
   tagline: "Langflow is a GUI for LangChain, designed with react-flow",
   favicon: "img/favicon.ico",
-  url: "https://logspace-ai.github.io",
+  url: "https://langflow-ai.github.io",
   baseUrl: "/",
   onBrokenLinks: "throw",
   onBrokenMarkdownLinks: "warn",
-  organizationName: "logspace-ai",
+  organizationName: "langflow-ai",
   projectName: "langflow",
   trailingSlash: false,
+  staticDirectories: ["static"],
   customFields: {
     mendableAnonKey: process.env.MENDABLE_ANON_KEY,
   },
@@ -43,7 +44,7 @@ module.exports = {
           // sidebarPath: 'sidebars.js',
         },
         gtag: {
-          trackingID: 'G-SLQFLQ3KPT',
+          trackingID: "G-XHC7G628ZP",
           anonymizeIP: true,
         },
         theme: {
@@ -86,7 +87,7 @@ module.exports = {
           // right
           {
             position: "right",
-            href: "https://github.com/logspace-ai/langflow",
+            href: "https://github.com/langflow-ai/langflow",
             position: "right",
             className: "header-github-link",
             target: "_blank",
@@ -121,17 +122,6 @@ module.exports = {
         /* Respect user preferences, such as low light mode in the evening */
         respectPrefersColorScheme: true,
       },
-      announcementBar: {
-        content:
-          '⭐️ If you like ⛓️Langflow, star it on <a target="_blank" rel="noopener noreferrer" href="https://github.com/logspace-ai/langflow">GitHub</a>! ⭐️',
-        backgroundColor: "#E8EBF1", //Mustard Yellow #D19900 #D4B20B - Salmon #E9967A
-        textColor: "#1C1E21",
-        isCloseable: false,
-      },
-      footer: {
-        links: [],
-        copyright: `Copyright © ${new Date().getFullYear()} Logspace.`,
-      },
       zoom: {
         selector: ".markdown :not(a) > img:not(.no-zoom)",
         background: {
diff --git a/docs/package-lock.json b/docs/package-lock.json
index 8761203756c..9de415c12cd 100644
--- a/docs/package-lock.json
+++ b/docs/package-lock.json
@@ -10,12 +10,12 @@
       "dependencies": {
         "@babel/preset-react": "^7.22.3",
         "@code-hike/mdx": "^0.9.0",
-        "@docusaurus/core": "3.0.1",
+        "@docusaurus/core": "^3.2.0",
         "@docusaurus/plugin-google-gtag": "^3.2.0",
-        "@docusaurus/plugin-ideal-image": "^3.0.1",
-        "@docusaurus/preset-classic": "3.0.1",
-        "@docusaurus/theme-classic": "^3.0.1",
-        "@docusaurus/theme-search-algolia": "^3.0.1",
+        "@docusaurus/plugin-ideal-image": "^3.2.0",
+        "@docusaurus/preset-classic": "^3.2.0",
+        "@docusaurus/theme-classic": "^3.2.0",
+        "@docusaurus/theme-search-algolia": "^3.2.0",
         "@mdx-js/react": "^2.3.0",
         "@mendable/search": "^0.0.154",
         "@pbe/react-yandex-maps": "^1.2.4",
@@ -42,7 +42,7 @@
         "tailwindcss": "^3.3.2"
       },
       "devDependencies": {
-        "@docusaurus/module-type-aliases": "2.4.1",
+        "@docusaurus/module-type-aliases": "^3.2.0",
         "css-loader": "^6.8.1",
         "docusaurus-node-polyfills": "^1.0.0",
         "node-sass": "^9.0.0",
@@ -95,74 +95,74 @@
       }
     },
     "node_modules/@algolia/cache-browser-local-storage": {
-      "version": "4.22.0",
-      "resolved": "https://registry.npmjs.org/@algolia/cache-browser-local-storage/-/cache-browser-local-storage-4.22.0.tgz",
-      "integrity": "sha512-uZ1uZMLDZb4qODLfTSNHxSi4fH9RdrQf7DXEzW01dS8XK7QFtFh29N5NGKa9S+Yudf1vUMIF+/RiL4i/J0pWlQ==",
+      "version": "4.23.3",
+      "resolved": "https://registry.npmjs.org/@algolia/cache-browser-local-storage/-/cache-browser-local-storage-4.23.3.tgz",
+      "integrity": "sha512-vRHXYCpPlTDE7i6UOy2xE03zHF2C8MEFjPN2v7fRbqVpcOvAUQK81x3Kc21xyb5aSIpYCjWCZbYZuz8Glyzyyg==",
       "dependencies": {
-        "@algolia/cache-common": "4.22.0"
+        "@algolia/cache-common": "4.23.3"
       }
     },
     "node_modules/@algolia/cache-common": {
-      "version": "4.22.0",
-      "resolved": "https://registry.npmjs.org/@algolia/cache-common/-/cache-common-4.22.0.tgz",
-      "integrity": "sha512-TPwUMlIGPN16eW67qamNQUmxNiGHg/WBqWcrOoCddhqNTqGDPVqmgfaM85LPbt24t3r1z0zEz/tdsmuq3Q6oaA=="
+      "version": "4.23.3",
+      "resolved": "https://registry.npmjs.org/@algolia/cache-common/-/cache-common-4.23.3.tgz",
+      "integrity": "sha512-h9XcNI6lxYStaw32pHpB1TMm0RuxphF+Ik4o7tcQiodEdpKK+wKufY6QXtba7t3k8eseirEMVB83uFFF3Nu54A=="
     },
     "node_modules/@algolia/cache-in-memory": {
-      "version": "4.22.0",
-      "resolved": "https://registry.npmjs.org/@algolia/cache-in-memory/-/cache-in-memory-4.22.0.tgz",
-      "integrity": "sha512-kf4Cio9NpPjzp1+uXQgL4jsMDeck7MP89BYThSvXSjf2A6qV/0KeqQf90TL2ECS02ovLOBXkk98P7qVarM+zGA==",
+      "version": "4.23.3",
+      "resolved": "https://registry.npmjs.org/@algolia/cache-in-memory/-/cache-in-memory-4.23.3.tgz",
+      "integrity": "sha512-yvpbuUXg/+0rbcagxNT7un0eo3czx2Uf0y4eiR4z4SD7SiptwYTpbuS0IHxcLHG3lq22ukx1T6Kjtk/rT+mqNg==",
       "dependencies": {
-        "@algolia/cache-common": "4.22.0"
+        "@algolia/cache-common": "4.23.3"
       }
     },
     "node_modules/@algolia/client-account": {
-      "version": "4.22.0",
-      "resolved": "https://registry.npmjs.org/@algolia/client-account/-/client-account-4.22.0.tgz",
-      "integrity": "sha512-Bjb5UXpWmJT+yGWiqAJL0prkENyEZTBzdC+N1vBuHjwIJcjLMjPB6j1hNBRbT12Lmwi55uzqeMIKS69w+0aPzA==",
+      "version": "4.23.3",
+      "resolved": "https://registry.npmjs.org/@algolia/client-account/-/client-account-4.23.3.tgz",
+      "integrity": "sha512-hpa6S5d7iQmretHHF40QGq6hz0anWEHGlULcTIT9tbUssWUriN9AUXIFQ8Ei4w9azD0hc1rUok9/DeQQobhQMA==",
       "dependencies": {
-        "@algolia/client-common": "4.22.0",
-        "@algolia/client-search": "4.22.0",
-        "@algolia/transporter": "4.22.0"
+        "@algolia/client-common": "4.23.3",
+        "@algolia/client-search": "4.23.3",
+        "@algolia/transporter": "4.23.3"
       }
     },
     "node_modules/@algolia/client-analytics": {
-      "version": "4.22.0",
-      "resolved": "https://registry.npmjs.org/@algolia/client-analytics/-/client-analytics-4.22.0.tgz",
-      "integrity": "sha512-os2K+kHUcwwRa4ArFl5p/3YbF9lN3TLOPkbXXXxOvDpqFh62n9IRZuzfxpHxMPKAQS3Et1s0BkKavnNP02E9Hg==",
+      "version": "4.23.3",
+      "resolved": "https://registry.npmjs.org/@algolia/client-analytics/-/client-analytics-4.23.3.tgz",
+      "integrity": "sha512-LBsEARGS9cj8VkTAVEZphjxTjMVCci+zIIiRhpFun9jGDUlS1XmhCW7CTrnaWeIuCQS/2iPyRqSy1nXPjcBLRA==",
       "dependencies": {
-        "@algolia/client-common": "4.22.0",
-        "@algolia/client-search": "4.22.0",
-        "@algolia/requester-common": "4.22.0",
-        "@algolia/transporter": "4.22.0"
+        "@algolia/client-common": "4.23.3",
+        "@algolia/client-search": "4.23.3",
+        "@algolia/requester-common": "4.23.3",
+        "@algolia/transporter": "4.23.3"
       }
     },
     "node_modules/@algolia/client-common": {
-      "version": "4.22.0",
-      "resolved": "https://registry.npmjs.org/@algolia/client-common/-/client-common-4.22.0.tgz",
-      "integrity": "sha512-BlbkF4qXVWuwTmYxVWvqtatCR3lzXwxx628p1wj1Q7QP2+LsTmGt1DiUYRuy9jG7iMsnlExby6kRMOOlbhv2Ag==",
+      "version": "4.23.3",
+      "resolved": "https://registry.npmjs.org/@algolia/client-common/-/client-common-4.23.3.tgz",
+      "integrity": "sha512-l6EiPxdAlg8CYhroqS5ybfIczsGUIAC47slLPOMDeKSVXYG1n0qGiz4RjAHLw2aD0xzh2EXZ7aRguPfz7UKDKw==",
       "dependencies": {
-        "@algolia/requester-common": "4.22.0",
-        "@algolia/transporter": "4.22.0"
+        "@algolia/requester-common": "4.23.3",
+        "@algolia/transporter": "4.23.3"
       }
     },
     "node_modules/@algolia/client-personalization": {
-      "version": "4.22.0",
-      "resolved": "https://registry.npmjs.org/@algolia/client-personalization/-/client-personalization-4.22.0.tgz",
-      "integrity": "sha512-pEOftCxeBdG5pL97WngOBi9w5Vxr5KCV2j2D+xMVZH8MuU/JX7CglDSDDb0ffQWYqcUN+40Ry+xtXEYaGXTGow==",
+      "version": "4.23.3",
+      "resolved": "https://registry.npmjs.org/@algolia/client-personalization/-/client-personalization-4.23.3.tgz",
+      "integrity": "sha512-3E3yF3Ocr1tB/xOZiuC3doHQBQ2zu2MPTYZ0d4lpfWads2WTKG7ZzmGnsHmm63RflvDeLK/UVx7j2b3QuwKQ2g==",
       "dependencies": {
-        "@algolia/client-common": "4.22.0",
-        "@algolia/requester-common": "4.22.0",
-        "@algolia/transporter": "4.22.0"
+        "@algolia/client-common": "4.23.3",
+        "@algolia/requester-common": "4.23.3",
+        "@algolia/transporter": "4.23.3"
       }
     },
     "node_modules/@algolia/client-search": {
-      "version": "4.22.0",
-      "resolved": "https://registry.npmjs.org/@algolia/client-search/-/client-search-4.22.0.tgz",
-      "integrity": "sha512-bn4qQiIdRPBGCwsNuuqB8rdHhGKKWIij9OqidM1UkQxnSG8yzxHdb7CujM30pvp5EnV7jTqDZRbxacbjYVW20Q==",
+      "version": "4.23.3",
+      "resolved": "https://registry.npmjs.org/@algolia/client-search/-/client-search-4.23.3.tgz",
+      "integrity": "sha512-P4VAKFHqU0wx9O+q29Q8YVuaowaZ5EM77rxfmGnkHUJggh28useXQdopokgwMeYw2XUht49WX5RcTQ40rZIabw==",
       "dependencies": {
-        "@algolia/client-common": "4.22.0",
-        "@algolia/requester-common": "4.22.0",
-        "@algolia/transporter": "4.22.0"
+        "@algolia/client-common": "4.23.3",
+        "@algolia/requester-common": "4.23.3",
+        "@algolia/transporter": "4.23.3"
       }
     },
     "node_modules/@algolia/events": {
@@ -171,47 +171,65 @@
       "integrity": "sha512-FQzvOCgoFXAbf5Y6mYozw2aj5KCJoA3m4heImceldzPSMbdyS4atVjJzXKMsfX3wnZTFYwkkt8/z8UesLHlSBQ=="
     },
     "node_modules/@algolia/logger-common": {
-      "version": "4.22.0",
-      "resolved": "https://registry.npmjs.org/@algolia/logger-common/-/logger-common-4.22.0.tgz",
-      "integrity": "sha512-HMUQTID0ucxNCXs5d1eBJ5q/HuKg8rFVE/vOiLaM4Abfeq1YnTtGV3+rFEhOPWhRQxNDd+YHa4q864IMc0zHpQ=="
+      "version": "4.23.3",
+      "resolved": "https://registry.npmjs.org/@algolia/logger-common/-/logger-common-4.23.3.tgz",
+      "integrity": "sha512-y9kBtmJwiZ9ZZ+1Ek66P0M68mHQzKRxkW5kAAXYN/rdzgDN0d2COsViEFufxJ0pb45K4FRcfC7+33YB4BLrZ+g=="
     },
     "node_modules/@algolia/logger-console": {
-      "version": "4.22.0",
-      "resolved": "https://registry.npmjs.org/@algolia/logger-console/-/logger-console-4.22.0.tgz",
-      "integrity": "sha512-7JKb6hgcY64H7CRm3u6DRAiiEVXMvCJV5gRE672QFOUgDxo4aiDpfU61g6Uzy8NKjlEzHMmgG4e2fklELmPXhQ==",
+      "version": "4.23.3",
+      "resolved": "https://registry.npmjs.org/@algolia/logger-console/-/logger-console-4.23.3.tgz",
+      "integrity": "sha512-8xoiseoWDKuCVnWP8jHthgaeobDLolh00KJAdMe9XPrWPuf1by732jSpgy2BlsLTaT9m32pHI8CRfrOqQzHv3A==",
       "dependencies": {
-        "@algolia/logger-common": "4.22.0"
+        "@algolia/logger-common": "4.23.3"
+      }
+    },
+    "node_modules/@algolia/recommend": {
+      "version": "4.23.3",
+      "resolved": "https://registry.npmjs.org/@algolia/recommend/-/recommend-4.23.3.tgz",
+      "integrity": "sha512-9fK4nXZF0bFkdcLBRDexsnGzVmu4TSYZqxdpgBW2tEyfuSSY54D4qSRkLmNkrrz4YFvdh2GM1gA8vSsnZPR73w==",
+      "dependencies": {
+        "@algolia/cache-browser-local-storage": "4.23.3",
+        "@algolia/cache-common": "4.23.3",
+        "@algolia/cache-in-memory": "4.23.3",
+        "@algolia/client-common": "4.23.3",
+        "@algolia/client-search": "4.23.3",
+        "@algolia/logger-common": "4.23.3",
+        "@algolia/logger-console": "4.23.3",
+        "@algolia/requester-browser-xhr": "4.23.3",
+        "@algolia/requester-common": "4.23.3",
+        "@algolia/requester-node-http": "4.23.3",
+        "@algolia/transporter": "4.23.3"
       }
     },
     "node_modules/@algolia/requester-browser-xhr": {
-      "version": "4.22.0",
-      "resolved": "https://registry.npmjs.org/@algolia/requester-browser-xhr/-/requester-browser-xhr-4.22.0.tgz",
-      "integrity": "sha512-BHfv1h7P9/SyvcDJDaRuIwDu2yrDLlXlYmjvaLZTtPw6Ok/ZVhBR55JqW832XN/Fsl6k3LjdkYHHR7xnsa5Wvg==",
+      "version": "4.23.3",
+      "resolved": "https://registry.npmjs.org/@algolia/requester-browser-xhr/-/requester-browser-xhr-4.23.3.tgz",
+      "integrity": "sha512-jDWGIQ96BhXbmONAQsasIpTYWslyjkiGu0Quydjlowe+ciqySpiDUrJHERIRfELE5+wFc7hc1Q5hqjGoV7yghw==",
       "dependencies": {
-        "@algolia/requester-common": "4.22.0"
+        "@algolia/requester-common": "4.23.3"
       }
     },
     "node_modules/@algolia/requester-common": {
-      "version": "4.22.0",
-      "resolved": "https://registry.npmjs.org/@algolia/requester-common/-/requester-common-4.22.0.tgz",
-      "integrity": "sha512-Y9cEH/cKjIIZgzvI1aI0ARdtR/xRrOR13g5psCxkdhpgRN0Vcorx+zePhmAa4jdQNqexpxtkUdcKYugBzMZJgQ=="
+      "version": "4.23.3",
+      "resolved": "https://registry.npmjs.org/@algolia/requester-common/-/requester-common-4.23.3.tgz",
+      "integrity": "sha512-xloIdr/bedtYEGcXCiF2muajyvRhwop4cMZo+K2qzNht0CMzlRkm8YsDdj5IaBhshqfgmBb3rTg4sL4/PpvLYw=="
     },
     "node_modules/@algolia/requester-node-http": {
-      "version": "4.22.0",
-      "resolved": "https://registry.npmjs.org/@algolia/requester-node-http/-/requester-node-http-4.22.0.tgz",
-      "integrity": "sha512-8xHoGpxVhz3u2MYIieHIB6MsnX+vfd5PS4REgglejJ6lPigftRhTdBCToe6zbwq4p0anZXjjPDvNWMlgK2+xYA==",
+      "version": "4.23.3",
+      "resolved": "https://registry.npmjs.org/@algolia/requester-node-http/-/requester-node-http-4.23.3.tgz",
+      "integrity": "sha512-zgu++8Uj03IWDEJM3fuNl34s746JnZOWn1Uz5taV1dFyJhVM/kTNw9Ik7YJWiUNHJQXcaD8IXD1eCb0nq/aByA==",
       "dependencies": {
-        "@algolia/requester-common": "4.22.0"
+        "@algolia/requester-common": "4.23.3"
       }
     },
     "node_modules/@algolia/transporter": {
-      "version": "4.22.0",
-      "resolved": "https://registry.npmjs.org/@algolia/transporter/-/transporter-4.22.0.tgz",
-      "integrity": "sha512-ieO1k8x2o77GNvOoC+vAkFKppydQSVfbjM3YrSjLmgywiBejPTvU1R1nEvG59JIIUvtSLrZsLGPkd6vL14zopA==",
+      "version": "4.23.3",
+      "resolved": "https://registry.npmjs.org/@algolia/transporter/-/transporter-4.23.3.tgz",
+      "integrity": "sha512-Wjl5gttqnf/gQKJA+dafnD0Y6Yw97yvfY8R9h0dQltX1GXTgNs1zWgvtWW0tHl1EgMdhAyw189uWiZMnL3QebQ==",
       "dependencies": {
-        "@algolia/cache-common": "4.22.0",
-        "@algolia/logger-common": "4.22.0",
-        "@algolia/requester-common": "4.22.0"
+        "@algolia/cache-common": "4.23.3",
+        "@algolia/logger-common": "4.23.3",
+        "@algolia/requester-common": "4.23.3"
       }
     },
     "node_modules/@alloc/quick-lru": {
@@ -226,52 +244,52 @@
       }
     },
     "node_modules/@ampproject/remapping": {
-      "version": "2.2.1",
-      "resolved": "https://registry.npmjs.org/@ampproject/remapping/-/remapping-2.2.1.tgz",
-      "integrity": "sha512-lFMjJTrFL3j7L9yBxwYfCq2k6qqwHyzuUl/XBnif78PWTJYyL/dfowQHWE3sp6U6ZzqWiiIZnpTMO96zhkjwtg==",
+      "version": "2.3.0",
+      "resolved": "https://registry.npmjs.org/@ampproject/remapping/-/remapping-2.3.0.tgz",
+      "integrity": "sha512-30iZtAPgz+LTIYoeivqYo853f02jBYSd5uGnGpkFV0M3xOt9aN73erkgYAmZU43x4VfqcnLxW9Kpg3R5LC4YYw==",
       "dependencies": {
-        "@jridgewell/gen-mapping": "^0.3.0",
-        "@jridgewell/trace-mapping": "^0.3.9"
+        "@jridgewell/gen-mapping": "^0.3.5",
+        "@jridgewell/trace-mapping": "^0.3.24"
       },
       "engines": {
         "node": ">=6.0.0"
       }
     },
     "node_modules/@babel/code-frame": {
-      "version": "7.23.5",
-      "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.23.5.tgz",
-      "integrity": "sha512-CgH3s1a96LipHCmSUmYFPwY7MNx8C3avkq7i4Wl3cfa662ldtUe4VM1TPXX70pfmrlWTb6jLqTYrZyT2ZTJBgA==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.24.7.tgz",
+      "integrity": "sha512-BcYH1CVJBO9tvyIZ2jVeXgSIMvGZ2FDRvDdOIVQyuklNKSsx+eppDEBq/g47Ayw+RqNFE+URvOShmf+f/qwAlA==",
       "dependencies": {
-        "@babel/highlight": "^7.23.4",
-        "chalk": "^2.4.2"
+        "@babel/highlight": "^7.24.7",
+        "picocolors": "^1.0.0"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/compat-data": {
-      "version": "7.23.5",
-      "resolved": "https://registry.npmjs.org/@babel/compat-data/-/compat-data-7.23.5.tgz",
-      "integrity": "sha512-uU27kfDRlhfKl+w1U6vp16IuvSLtjAxdArVXPa9BvLkrr7CYIsxH5adpHObeAGY/41+syctUWOZ140a2Rvkgjw==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/compat-data/-/compat-data-7.24.7.tgz",
+      "integrity": "sha512-qJzAIcv03PyaWqxRgO4mSU3lihncDT296vnyuE2O8uA4w3UHWI4S3hgeZd1L8W1Bft40w9JxJ2b412iDUFFRhw==",
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/core": {
-      "version": "7.23.6",
-      "resolved": "https://registry.npmjs.org/@babel/core/-/core-7.23.6.tgz",
-      "integrity": "sha512-FxpRyGjrMJXh7X3wGLGhNDCRiwpWEF74sKjTLDJSG5Kyvow3QZaG0Adbqzi9ZrVjTWpsX+2cxWXD71NMg93kdw==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/core/-/core-7.24.7.tgz",
+      "integrity": "sha512-nykK+LEK86ahTkX/3TgauT0ikKoNCfKHEaZYTUVupJdTLzGNvrblu4u6fa7DhZONAltdf8e662t/abY8idrd/g==",
       "dependencies": {
         "@ampproject/remapping": "^2.2.0",
-        "@babel/code-frame": "^7.23.5",
-        "@babel/generator": "^7.23.6",
-        "@babel/helper-compilation-targets": "^7.23.6",
-        "@babel/helper-module-transforms": "^7.23.3",
-        "@babel/helpers": "^7.23.6",
-        "@babel/parser": "^7.23.6",
-        "@babel/template": "^7.22.15",
-        "@babel/traverse": "^7.23.6",
-        "@babel/types": "^7.23.6",
+        "@babel/code-frame": "^7.24.7",
+        "@babel/generator": "^7.24.7",
+        "@babel/helper-compilation-targets": "^7.24.7",
+        "@babel/helper-module-transforms": "^7.24.7",
+        "@babel/helpers": "^7.24.7",
+        "@babel/parser": "^7.24.7",
+        "@babel/template": "^7.24.7",
+        "@babel/traverse": "^7.24.7",
+        "@babel/types": "^7.24.7",
         "convert-source-map": "^2.0.0",
         "debug": "^4.1.0",
         "gensync": "^1.0.0-beta.2",
@@ -287,13 +305,13 @@
       }
     },
     "node_modules/@babel/generator": {
-      "version": "7.23.6",
-      "resolved": "https://registry.npmjs.org/@babel/generator/-/generator-7.23.6.tgz",
-      "integrity": "sha512-qrSfCYxYQB5owCmGLbl8XRpX1ytXlpueOb0N0UmQwA073KZxejgQTzAmJezxvpwQD9uGtK2shHdi55QT+MbjIw==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/generator/-/generator-7.24.7.tgz",
+      "integrity": "sha512-oipXieGC3i45Y1A41t4tAqpnEZWgB/lC6Ehh6+rOviR5XWpTtMmLN+fGjz9vOiNRt0p6RtO6DtD0pdU3vpqdSA==",
       "dependencies": {
-        "@babel/types": "^7.23.6",
-        "@jridgewell/gen-mapping": "^0.3.2",
-        "@jridgewell/trace-mapping": "^0.3.17",
+        "@babel/types": "^7.24.7",
+        "@jridgewell/gen-mapping": "^0.3.5",
+        "@jridgewell/trace-mapping": "^0.3.25",
         "jsesc": "^2.5.1"
       },
       "engines": {
@@ -301,34 +319,35 @@
       }
     },
     "node_modules/@babel/helper-annotate-as-pure": {
-      "version": "7.22.5",
-      "resolved": "https://registry.npmjs.org/@babel/helper-annotate-as-pure/-/helper-annotate-as-pure-7.22.5.tgz",
-      "integrity": "sha512-LvBTxu8bQSQkcyKOU+a1btnNFQ1dMAd0R6PyW3arXes06F6QLWLIrd681bxRPIXlrMGR3XYnW9JyML7dP3qgxg==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-annotate-as-pure/-/helper-annotate-as-pure-7.24.7.tgz",
+      "integrity": "sha512-BaDeOonYvhdKw+JoMVkAixAAJzG2jVPIwWoKBPdYuY9b452e2rPuI9QPYh3KpofZ3pW2akOmwZLOiOsHMiqRAg==",
       "dependencies": {
-        "@babel/types": "^7.22.5"
+        "@babel/types": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/helper-builder-binary-assignment-operator-visitor": {
-      "version": "7.22.15",
-      "resolved": "https://registry.npmjs.org/@babel/helper-builder-binary-assignment-operator-visitor/-/helper-builder-binary-assignment-operator-visitor-7.22.15.tgz",
-      "integrity": "sha512-QkBXwGgaoC2GtGZRoma6kv7Szfv06khvhFav67ZExau2RaXzy8MpHSMO2PNoP2XtmQphJQRHFfg77Bq731Yizw==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-builder-binary-assignment-operator-visitor/-/helper-builder-binary-assignment-operator-visitor-7.24.7.tgz",
+      "integrity": "sha512-xZeCVVdwb4MsDBkkyZ64tReWYrLRHlMN72vP7Bdm3OUOuyFZExhsHUUnuWnm2/XOlAJzR0LfPpB56WXZn0X/lA==",
       "dependencies": {
-        "@babel/types": "^7.22.15"
+        "@babel/traverse": "^7.24.7",
+        "@babel/types": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/helper-compilation-targets": {
-      "version": "7.23.6",
-      "resolved": "https://registry.npmjs.org/@babel/helper-compilation-targets/-/helper-compilation-targets-7.23.6.tgz",
-      "integrity": "sha512-9JB548GZoQVmzrFgp8o7KxdgkTGm6xs9DW0o/Pim72UDjzr5ObUQ6ZzYPqA+g9OTS2bBQoctLJrky0RDCAWRgQ==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-compilation-targets/-/helper-compilation-targets-7.24.7.tgz",
+      "integrity": "sha512-ctSdRHBi20qWOfy27RUb4Fhp07KSJ3sXcuSvTrXrc4aG8NSYDo1ici3Vhg9bg69y5bj0Mr1lh0aeEgTvc12rMg==",
       "dependencies": {
-        "@babel/compat-data": "^7.23.5",
-        "@babel/helper-validator-option": "^7.23.5",
+        "@babel/compat-data": "^7.24.7",
+        "@babel/helper-validator-option": "^7.24.7",
         "browserslist": "^4.22.2",
         "lru-cache": "^5.1.1",
         "semver": "^6.3.1"
@@ -338,18 +357,18 @@
       }
     },
     "node_modules/@babel/helper-create-class-features-plugin": {
-      "version": "7.23.6",
-      "resolved": "https://registry.npmjs.org/@babel/helper-create-class-features-plugin/-/helper-create-class-features-plugin-7.23.6.tgz",
-      "integrity": "sha512-cBXU1vZni/CpGF29iTu4YRbOZt3Wat6zCoMDxRF1MayiEc4URxOj31tT65HUM0CRpMowA3HCJaAOVOUnMf96cw==",
-      "dependencies": {
-        "@babel/helper-annotate-as-pure": "^7.22.5",
-        "@babel/helper-environment-visitor": "^7.22.20",
-        "@babel/helper-function-name": "^7.23.0",
-        "@babel/helper-member-expression-to-functions": "^7.23.0",
-        "@babel/helper-optimise-call-expression": "^7.22.5",
-        "@babel/helper-replace-supers": "^7.22.20",
-        "@babel/helper-skip-transparent-expression-wrappers": "^7.22.5",
-        "@babel/helper-split-export-declaration": "^7.22.6",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-create-class-features-plugin/-/helper-create-class-features-plugin-7.24.7.tgz",
+      "integrity": "sha512-kTkaDl7c9vO80zeX1rJxnuRpEsD5tA81yh11X1gQo+PhSti3JS+7qeZo9U4RHobKRiFPKaGK3svUAeb8D0Q7eg==",
+      "dependencies": {
+        "@babel/helper-annotate-as-pure": "^7.24.7",
+        "@babel/helper-environment-visitor": "^7.24.7",
+        "@babel/helper-function-name": "^7.24.7",
+        "@babel/helper-member-expression-to-functions": "^7.24.7",
+        "@babel/helper-optimise-call-expression": "^7.24.7",
+        "@babel/helper-replace-supers": "^7.24.7",
+        "@babel/helper-skip-transparent-expression-wrappers": "^7.24.7",
+        "@babel/helper-split-export-declaration": "^7.24.7",
         "semver": "^6.3.1"
       },
       "engines": {
@@ -360,11 +379,11 @@
       }
     },
     "node_modules/@babel/helper-create-regexp-features-plugin": {
-      "version": "7.22.15",
-      "resolved": "https://registry.npmjs.org/@babel/helper-create-regexp-features-plugin/-/helper-create-regexp-features-plugin-7.22.15.tgz",
-      "integrity": "sha512-29FkPLFjn4TPEa3RE7GpW+qbE8tlsu3jntNYNfcGsc49LphF1PQIiD+vMZ1z1xVOKt+93khA9tc2JBs3kBjA7w==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-create-regexp-features-plugin/-/helper-create-regexp-features-plugin-7.24.7.tgz",
+      "integrity": "sha512-03TCmXy2FtXJEZfbXDTSqq1fRJArk7lX9DOFC/47VthYcxyIOx+eXQmdo6DOQvrbpIix+KfXwvuXdFDZHxt+rA==",
       "dependencies": {
-        "@babel/helper-annotate-as-pure": "^7.22.5",
+        "@babel/helper-annotate-as-pure": "^7.24.7",
         "regexpu-core": "^5.3.1",
         "semver": "^6.3.1"
       },
@@ -376,9 +395,9 @@
       }
     },
     "node_modules/@babel/helper-define-polyfill-provider": {
-      "version": "0.4.4",
-      "resolved": "https://registry.npmjs.org/@babel/helper-define-polyfill-provider/-/helper-define-polyfill-provider-0.4.4.tgz",
-      "integrity": "sha512-QcJMILQCu2jm5TFPGA3lCpJJTeEP+mqeXooG/NZbg/h5FTFi6V0+99ahlRsW8/kRLyb24LZVCCiclDedhLKcBA==",
+      "version": "0.6.2",
+      "resolved": "https://registry.npmjs.org/@babel/helper-define-polyfill-provider/-/helper-define-polyfill-provider-0.6.2.tgz",
+      "integrity": "sha512-LV76g+C502biUK6AyZ3LK10vDpDyCzZnhZFXkH1L75zHPj68+qc8Zfpx2th+gzwA2MzyK+1g/3EPl62yFnVttQ==",
       "dependencies": {
         "@babel/helper-compilation-targets": "^7.22.6",
         "@babel/helper-plugin-utils": "^7.22.5",
@@ -391,68 +410,73 @@
       }
     },
     "node_modules/@babel/helper-environment-visitor": {
-      "version": "7.22.20",
-      "resolved": "https://registry.npmjs.org/@babel/helper-environment-visitor/-/helper-environment-visitor-7.22.20.tgz",
-      "integrity": "sha512-zfedSIzFhat/gFhWfHtgWvlec0nqB9YEIVrpuwjruLlXfUSnA8cJB0miHKwqDnQ7d32aKo2xt88/xZptwxbfhA==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-environment-visitor/-/helper-environment-visitor-7.24.7.tgz",
+      "integrity": "sha512-DoiN84+4Gnd0ncbBOM9AZENV4a5ZiL39HYMyZJGZ/AZEykHYdJw0wW3kdcsh9/Kn+BRXHLkkklZ51ecPKmI1CQ==",
+      "dependencies": {
+        "@babel/types": "^7.24.7"
+      },
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/helper-function-name": {
-      "version": "7.23.0",
-      "resolved": "https://registry.npmjs.org/@babel/helper-function-name/-/helper-function-name-7.23.0.tgz",
-      "integrity": "sha512-OErEqsrxjZTJciZ4Oo+eoZqeW9UIiOcuYKRJA4ZAgV9myA+pOXhhmpfNCKjEH/auVfEYVFJ6y1Tc4r0eIApqiw==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-function-name/-/helper-function-name-7.24.7.tgz",
+      "integrity": "sha512-FyoJTsj/PEUWu1/TYRiXTIHc8lbw+TDYkZuoE43opPS5TrI7MyONBE1oNvfguEXAD9yhQRrVBnXdXzSLQl9XnA==",
       "dependencies": {
-        "@babel/template": "^7.22.15",
-        "@babel/types": "^7.23.0"
+        "@babel/template": "^7.24.7",
+        "@babel/types": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/helper-hoist-variables": {
-      "version": "7.22.5",
-      "resolved": "https://registry.npmjs.org/@babel/helper-hoist-variables/-/helper-hoist-variables-7.22.5.tgz",
-      "integrity": "sha512-wGjk9QZVzvknA6yKIUURb8zY3grXCcOZt+/7Wcy8O2uctxhplmUPkOdlgoNhmdVee2c92JXbf1xpMtVNbfoxRw==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-hoist-variables/-/helper-hoist-variables-7.24.7.tgz",
+      "integrity": "sha512-MJJwhkoGy5c4ehfoRyrJ/owKeMl19U54h27YYftT0o2teQ3FJ3nQUf/I3LlJsX4l3qlw7WRXUmiyajvHXoTubQ==",
       "dependencies": {
-        "@babel/types": "^7.22.5"
+        "@babel/types": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/helper-member-expression-to-functions": {
-      "version": "7.23.0",
-      "resolved": "https://registry.npmjs.org/@babel/helper-member-expression-to-functions/-/helper-member-expression-to-functions-7.23.0.tgz",
-      "integrity": "sha512-6gfrPwh7OuT6gZyJZvd6WbTfrqAo7vm4xCzAXOusKqq/vWdKXphTpj5klHKNmRUU6/QRGlBsyU9mAIPaWHlqJA==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-member-expression-to-functions/-/helper-member-expression-to-functions-7.24.7.tgz",
+      "integrity": "sha512-LGeMaf5JN4hAT471eJdBs/GK1DoYIJ5GCtZN/EsL6KUiiDZOvO/eKE11AMZJa2zP4zk4qe9V2O/hxAmkRc8p6w==",
       "dependencies": {
-        "@babel/types": "^7.23.0"
+        "@babel/traverse": "^7.24.7",
+        "@babel/types": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/helper-module-imports": {
-      "version": "7.22.15",
-      "resolved": "https://registry.npmjs.org/@babel/helper-module-imports/-/helper-module-imports-7.22.15.tgz",
-      "integrity": "sha512-0pYVBnDKZO2fnSPCrgM/6WMc7eS20Fbok+0r88fp+YtWVLZrp4CkafFGIp+W0VKw4a22sgebPT99y+FDNMdP4w==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-module-imports/-/helper-module-imports-7.24.7.tgz",
+      "integrity": "sha512-8AyH3C+74cgCVVXow/myrynrAGv+nTVg5vKu2nZph9x7RcRwzmh0VFallJuFTZ9mx6u4eSdXZfcOzSqTUm0HCA==",
       "dependencies": {
-        "@babel/types": "^7.22.15"
+        "@babel/traverse": "^7.24.7",
+        "@babel/types": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/helper-module-transforms": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/helper-module-transforms/-/helper-module-transforms-7.23.3.tgz",
-      "integrity": "sha512-7bBs4ED9OmswdfDzpz4MpWgSrV7FXlc3zIagvLFjS5H+Mk7Snr21vQ6QwrsoCGMfNC4e4LQPdoULEt4ykz0SRQ==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-module-transforms/-/helper-module-transforms-7.24.7.tgz",
+      "integrity": "sha512-1fuJEwIrp+97rM4RWdO+qrRsZlAeL1lQJoPqtCYWv0NL115XM93hIH4CSRln2w52SqvmY5hqdtauB6QFCDiZNQ==",
       "dependencies": {
-        "@babel/helper-environment-visitor": "^7.22.20",
-        "@babel/helper-module-imports": "^7.22.15",
-        "@babel/helper-simple-access": "^7.22.5",
-        "@babel/helper-split-export-declaration": "^7.22.6",
-        "@babel/helper-validator-identifier": "^7.22.20"
+        "@babel/helper-environment-visitor": "^7.24.7",
+        "@babel/helper-module-imports": "^7.24.7",
+        "@babel/helper-simple-access": "^7.24.7",
+        "@babel/helper-split-export-declaration": "^7.24.7",
+        "@babel/helper-validator-identifier": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -462,32 +486,32 @@
       }
     },
     "node_modules/@babel/helper-optimise-call-expression": {
-      "version": "7.22.5",
-      "resolved": "https://registry.npmjs.org/@babel/helper-optimise-call-expression/-/helper-optimise-call-expression-7.22.5.tgz",
-      "integrity": "sha512-HBwaojN0xFRx4yIvpwGqxiV2tUfl7401jlok564NgB9EHS1y6QT17FmKWm4ztqjeVdXLuC4fSvHc5ePpQjoTbw==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-optimise-call-expression/-/helper-optimise-call-expression-7.24.7.tgz",
+      "integrity": "sha512-jKiTsW2xmWwxT1ixIdfXUZp+P5yURx2suzLZr5Hi64rURpDYdMW0pv+Uf17EYk2Rd428Lx4tLsnjGJzYKDM/6A==",
       "dependencies": {
-        "@babel/types": "^7.22.5"
+        "@babel/types": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/helper-plugin-utils": {
-      "version": "7.22.5",
-      "resolved": "https://registry.npmjs.org/@babel/helper-plugin-utils/-/helper-plugin-utils-7.22.5.tgz",
-      "integrity": "sha512-uLls06UVKgFG9QD4OeFYLEGteMIAa5kpTPcFL28yuCIIzsf6ZyKZMllKVOCZFhiZ5ptnwX4mtKdWCBE/uT4amg==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-plugin-utils/-/helper-plugin-utils-7.24.7.tgz",
+      "integrity": "sha512-Rq76wjt7yz9AAc1KnlRKNAi/dMSVWgDRx43FHoJEbcYU6xOWaE2dVPwcdTukJrjxS65GITyfbvEYHvkirZ6uEg==",
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/helper-remap-async-to-generator": {
-      "version": "7.22.20",
-      "resolved": "https://registry.npmjs.org/@babel/helper-remap-async-to-generator/-/helper-remap-async-to-generator-7.22.20.tgz",
-      "integrity": "sha512-pBGyV4uBqOns+0UvhsTO8qgl8hO89PmiDYv+/COyp1aeMcmfrfruz+/nCMFiYyFF/Knn0yfrC85ZzNFjembFTw==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-remap-async-to-generator/-/helper-remap-async-to-generator-7.24.7.tgz",
+      "integrity": "sha512-9pKLcTlZ92hNZMQfGCHImUpDOlAgkkpqalWEeftW5FBya75k8Li2ilerxkM/uBEj01iBZXcCIB/bwvDYgWyibA==",
       "dependencies": {
-        "@babel/helper-annotate-as-pure": "^7.22.5",
-        "@babel/helper-environment-visitor": "^7.22.20",
-        "@babel/helper-wrap-function": "^7.22.20"
+        "@babel/helper-annotate-as-pure": "^7.24.7",
+        "@babel/helper-environment-visitor": "^7.24.7",
+        "@babel/helper-wrap-function": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -497,13 +521,13 @@
       }
     },
     "node_modules/@babel/helper-replace-supers": {
-      "version": "7.22.20",
-      "resolved": "https://registry.npmjs.org/@babel/helper-replace-supers/-/helper-replace-supers-7.22.20.tgz",
-      "integrity": "sha512-qsW0In3dbwQUbK8kejJ4R7IHVGwHJlV6lpG6UA7a9hSa2YEiAib+N1T2kr6PEeUT+Fl7najmSOS6SmAwCHK6Tw==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-replace-supers/-/helper-replace-supers-7.24.7.tgz",
+      "integrity": "sha512-qTAxxBM81VEyoAY0TtLrx1oAEJc09ZK67Q9ljQToqCnA+55eNwCORaxlKyu+rNfX86o8OXRUSNUnrtsAZXM9sg==",
       "dependencies": {
-        "@babel/helper-environment-visitor": "^7.22.20",
-        "@babel/helper-member-expression-to-functions": "^7.22.15",
-        "@babel/helper-optimise-call-expression": "^7.22.5"
+        "@babel/helper-environment-visitor": "^7.24.7",
+        "@babel/helper-member-expression-to-functions": "^7.24.7",
+        "@babel/helper-optimise-call-expression": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -513,105 +537,108 @@
       }
     },
     "node_modules/@babel/helper-simple-access": {
-      "version": "7.22.5",
-      "resolved": "https://registry.npmjs.org/@babel/helper-simple-access/-/helper-simple-access-7.22.5.tgz",
-      "integrity": "sha512-n0H99E/K+Bika3++WNL17POvo4rKWZ7lZEp1Q+fStVbUi8nxPQEBOlTmCOxW/0JsS56SKKQ+ojAe2pHKJHN35w==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-simple-access/-/helper-simple-access-7.24.7.tgz",
+      "integrity": "sha512-zBAIvbCMh5Ts+b86r/CjU+4XGYIs+R1j951gxI3KmmxBMhCg4oQMsv6ZXQ64XOm/cvzfU1FmoCyt6+owc5QMYg==",
       "dependencies": {
-        "@babel/types": "^7.22.5"
+        "@babel/traverse": "^7.24.7",
+        "@babel/types": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/helper-skip-transparent-expression-wrappers": {
-      "version": "7.22.5",
-      "resolved": "https://registry.npmjs.org/@babel/helper-skip-transparent-expression-wrappers/-/helper-skip-transparent-expression-wrappers-7.22.5.tgz",
-      "integrity": "sha512-tK14r66JZKiC43p8Ki33yLBVJKlQDFoA8GYN67lWCDCqoL6EMMSuM9b+Iff2jHaM/RRFYl7K+iiru7hbRqNx8Q==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-skip-transparent-expression-wrappers/-/helper-skip-transparent-expression-wrappers-7.24.7.tgz",
+      "integrity": "sha512-IO+DLT3LQUElMbpzlatRASEyQtfhSE0+m465v++3jyyXeBTBUjtVZg28/gHeV5mrTJqvEKhKroBGAvhW+qPHiQ==",
       "dependencies": {
-        "@babel/types": "^7.22.5"
+        "@babel/traverse": "^7.24.7",
+        "@babel/types": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/helper-split-export-declaration": {
-      "version": "7.22.6",
-      "resolved": "https://registry.npmjs.org/@babel/helper-split-export-declaration/-/helper-split-export-declaration-7.22.6.tgz",
-      "integrity": "sha512-AsUnxuLhRYsisFiaJwvp1QF+I3KjD5FOxut14q/GzovUe6orHLesW2C7d754kRm53h5gqrz6sFl6sxc4BVtE/g==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-split-export-declaration/-/helper-split-export-declaration-7.24.7.tgz",
+      "integrity": "sha512-oy5V7pD+UvfkEATUKvIjvIAH/xCzfsFVw7ygW2SI6NClZzquT+mwdTfgfdbUiceh6iQO0CHtCPsyze/MZ2YbAA==",
       "dependencies": {
-        "@babel/types": "^7.22.5"
+        "@babel/types": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/helper-string-parser": {
-      "version": "7.23.4",
-      "resolved": "https://registry.npmjs.org/@babel/helper-string-parser/-/helper-string-parser-7.23.4.tgz",
-      "integrity": "sha512-803gmbQdqwdf4olxrX4AJyFBV/RTr3rSmOj0rKwesmzlfhYNDEs+/iOcznzpNWlJlIlTJC2QfPFcHB6DlzdVLQ==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-string-parser/-/helper-string-parser-7.24.7.tgz",
+      "integrity": "sha512-7MbVt6xrwFQbunH2DNQsAP5sTGxfqQtErvBIvIMi6EQnbgUOuVYanvREcmFrOPhoXBrTtjhhP+lW+o5UfK+tDg==",
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/helper-validator-identifier": {
-      "version": "7.22.20",
-      "resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.22.20.tgz",
-      "integrity": "sha512-Y4OZ+ytlatR8AI+8KZfKuL5urKp7qey08ha31L8b3BwewJAoJamTzyvxPR/5D+KkdJCGPq/+8TukHBlY10FX9A==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.24.7.tgz",
+      "integrity": "sha512-rR+PBcQ1SMQDDyF6X0wxtG8QyLCgUB0eRAGguqRLfkCA87l7yAP7ehq8SNj96OOGTO8OBV70KhuFYcIkHXOg0w==",
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/helper-validator-option": {
-      "version": "7.23.5",
-      "resolved": "https://registry.npmjs.org/@babel/helper-validator-option/-/helper-validator-option-7.23.5.tgz",
-      "integrity": "sha512-85ttAOMLsr53VgXkTbkx8oA6YTfT4q7/HzXSLEYmjcSTJPMPQtvq1BD79Byep5xMUYbGRzEpDsjUf3dyp54IKw==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-validator-option/-/helper-validator-option-7.24.7.tgz",
+      "integrity": "sha512-yy1/KvjhV/ZCL+SM7hBrvnZJ3ZuT9OuZgIJAGpPEToANvc3iM6iDvBnRjtElWibHU6n8/LPR/EjX9EtIEYO3pw==",
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/helper-wrap-function": {
-      "version": "7.22.20",
-      "resolved": "https://registry.npmjs.org/@babel/helper-wrap-function/-/helper-wrap-function-7.22.20.tgz",
-      "integrity": "sha512-pms/UwkOpnQe/PDAEdV/d7dVCoBbB+R4FvYoHGZz+4VPcg7RtYy2KP7S2lbuWM6FCSgob5wshfGESbC/hzNXZw==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-wrap-function/-/helper-wrap-function-7.24.7.tgz",
+      "integrity": "sha512-N9JIYk3TD+1vq/wn77YnJOqMtfWhNewNE+DJV4puD2X7Ew9J4JvrzrFDfTfyv5EgEXVy9/Wt8QiOErzEmv5Ifw==",
       "dependencies": {
-        "@babel/helper-function-name": "^7.22.5",
-        "@babel/template": "^7.22.15",
-        "@babel/types": "^7.22.19"
+        "@babel/helper-function-name": "^7.24.7",
+        "@babel/template": "^7.24.7",
+        "@babel/traverse": "^7.24.7",
+        "@babel/types": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/helpers": {
-      "version": "7.23.6",
-      "resolved": "https://registry.npmjs.org/@babel/helpers/-/helpers-7.23.6.tgz",
-      "integrity": "sha512-wCfsbN4nBidDRhpDhvcKlzHWCTlgJYUUdSJfzXb2NuBssDSIjc3xcb+znA7l+zYsFljAcGM0aFkN40cR3lXiGA==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helpers/-/helpers-7.24.7.tgz",
+      "integrity": "sha512-NlmJJtvcw72yRJRcnCmGvSi+3jDEg8qFu3z0AFoymmzLx5ERVWyzd9kVXr7Th9/8yIJi2Zc6av4Tqz3wFs8QWg==",
       "dependencies": {
-        "@babel/template": "^7.22.15",
-        "@babel/traverse": "^7.23.6",
-        "@babel/types": "^7.23.6"
+        "@babel/template": "^7.24.7",
+        "@babel/types": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/highlight": {
-      "version": "7.23.4",
-      "resolved": "https://registry.npmjs.org/@babel/highlight/-/highlight-7.23.4.tgz",
-      "integrity": "sha512-acGdbYSfp2WheJoJm/EBBBLh/ID8KDc64ISZ9DYtBmC8/Q204PZJLHyzeB5qMzJ5trcOkybd78M4x2KWsUq++A==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/highlight/-/highlight-7.24.7.tgz",
+      "integrity": "sha512-EStJpq4OuY8xYfhGVXngigBJRWxftKX9ksiGDnmlY3o7B/V7KIAc9X4oiK87uPJSc/vs5L869bem5fhZa8caZw==",
       "dependencies": {
-        "@babel/helper-validator-identifier": "^7.22.20",
+        "@babel/helper-validator-identifier": "^7.24.7",
         "chalk": "^2.4.2",
-        "js-tokens": "^4.0.0"
+        "js-tokens": "^4.0.0",
+        "picocolors": "^1.0.0"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/parser": {
-      "version": "7.23.6",
-      "resolved": "https://registry.npmjs.org/@babel/parser/-/parser-7.23.6.tgz",
-      "integrity": "sha512-Z2uID7YJ7oNvAI20O9X0bblw7Qqs8Q2hFy0R9tAfnfLkp5MW0UH9eUvnDSnFwKZ0AvgS1ucqR4KzvVHgnke1VQ==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/parser/-/parser-7.24.7.tgz",
+      "integrity": "sha512-9uUYRm6OqQrCqQdG1iCBwBPZgN8ciDBro2nIOFaiRz1/BCxaI7CNvQbDHvsArAC7Tw9Hda/B3U+6ui9u4HWXPw==",
       "bin": {
         "parser": "bin/babel-parser.js"
       },
@@ -619,12 +646,27 @@
         "node": ">=6.0.0"
       }
     },
+    "node_modules/@babel/plugin-bugfix-firefox-class-in-computed-class-key": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-bugfix-firefox-class-in-computed-class-key/-/plugin-bugfix-firefox-class-in-computed-class-key-7.24.7.tgz",
+      "integrity": "sha512-TiT1ss81W80eQsN+722OaeQMY/G4yTb4G9JrqeiDADs3N8lbPMGldWi9x8tyqCW5NLx1Jh2AvkE6r6QvEltMMQ==",
+      "dependencies": {
+        "@babel/helper-environment-visitor": "^7.24.7",
+        "@babel/helper-plugin-utils": "^7.24.7"
+      },
+      "engines": {
+        "node": ">=6.9.0"
+      },
+      "peerDependencies": {
+        "@babel/core": "^7.0.0"
+      }
+    },
     "node_modules/@babel/plugin-bugfix-safari-id-destructuring-collision-in-function-expression": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-bugfix-safari-id-destructuring-collision-in-function-expression/-/plugin-bugfix-safari-id-destructuring-collision-in-function-expression-7.23.3.tgz",
-      "integrity": "sha512-iRkKcCqb7iGnq9+3G6rZ+Ciz5VywC4XNRHe57lKM+jOeYAoR0lVqdeeDRfh0tQcTfw/+vBhHn926FmQhLtlFLQ==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-bugfix-safari-id-destructuring-collision-in-function-expression/-/plugin-bugfix-safari-id-destructuring-collision-in-function-expression-7.24.7.tgz",
+      "integrity": "sha512-unaQgZ/iRu/By6tsjMZzpeBZjChYfLYry6HrEXPoz3KmfF0sVBQ1l8zKMQ4xRGLWVsjuvB8nQfjNP/DcfEOCsg==",
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.22.5"
+        "@babel/helper-plugin-utils": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -634,13 +676,13 @@
       }
     },
     "node_modules/@babel/plugin-bugfix-v8-spread-parameters-in-optional-chaining": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-bugfix-v8-spread-parameters-in-optional-chaining/-/plugin-bugfix-v8-spread-parameters-in-optional-chaining-7.23.3.tgz",
-      "integrity": "sha512-WwlxbfMNdVEpQjZmK5mhm7oSwD3dS6eU+Iwsi4Knl9wAletWem7kaRsGOG+8UEbRyqxY4SS5zvtfXwX+jMxUwQ==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-bugfix-v8-spread-parameters-in-optional-chaining/-/plugin-bugfix-v8-spread-parameters-in-optional-chaining-7.24.7.tgz",
+      "integrity": "sha512-+izXIbke1T33mY4MSNnrqhPXDz01WYhEf3yF5NbnUtkiNnm+XBZJl3kNfoK6NKmYlz/D07+l2GWVK/QfDkNCuQ==",
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.22.5",
-        "@babel/helper-skip-transparent-expression-wrappers": "^7.22.5",
-        "@babel/plugin-transform-optional-chaining": "^7.23.3"
+        "@babel/helper-plugin-utils": "^7.24.7",
+        "@babel/helper-skip-transparent-expression-wrappers": "^7.24.7",
+        "@babel/plugin-transform-optional-chaining": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -650,12 +692,12 @@
       }
     },
     "node_modules/@babel/plugin-bugfix-v8-static-class-fields-redefine-readonly": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-bugfix-v8-static-class-fields-redefine-readonly/-/plugin-bugfix-v8-static-class-fields-redefine-readonly-7.23.3.tgz",
-      "integrity": "sha512-XaJak1qcityzrX0/IU5nKHb34VaibwP3saKqG6a/tppelgllOH13LUann4ZCIBcVOeE6H18K4Vx9QKkVww3z/w==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-bugfix-v8-static-class-fields-redefine-readonly/-/plugin-bugfix-v8-static-class-fields-redefine-readonly-7.24.7.tgz",
+      "integrity": "sha512-utA4HuR6F4Vvcr+o4DnjL8fCOlgRFGbeeBEGNg3ZTrLFw6VWG5XmUrvcQ0FjIYMU2ST4XcR2Wsp7t9qOAPnxMg==",
       "dependencies": {
-        "@babel/helper-environment-visitor": "^7.22.20",
-        "@babel/helper-plugin-utils": "^7.22.5"
+        "@babel/helper-environment-visitor": "^7.24.7",
+        "@babel/helper-plugin-utils": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -734,11 +776,11 @@
       }
     },
     "node_modules/@babel/plugin-syntax-import-assertions": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-syntax-import-assertions/-/plugin-syntax-import-assertions-7.23.3.tgz",
-      "integrity": "sha512-lPgDSU+SJLK3xmFDTV2ZRQAiM7UuUjGidwBywFavObCiZc1BeAAcMtHJKUya92hPHO+at63JJPLygilZard8jw==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-syntax-import-assertions/-/plugin-syntax-import-assertions-7.24.7.tgz",
+      "integrity": "sha512-Ec3NRUMoi8gskrkBe3fNmEQfxDvY8bgfQpz6jlk/41kX9eUjvpyqWU7PBP/pLAvMaSQjbMNKJmvX57jP+M6bPg==",
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.22.5"
+        "@babel/helper-plugin-utils": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -748,11 +790,11 @@
       }
     },
     "node_modules/@babel/plugin-syntax-import-attributes": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-syntax-import-attributes/-/plugin-syntax-import-attributes-7.23.3.tgz",
-      "integrity": "sha512-pawnE0P9g10xgoP7yKr6CK63K2FMsTE+FZidZO/1PwRdzmAPVs+HS1mAURUsgaoxammTJvULUdIkEK0gOcU2tA==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-syntax-import-attributes/-/plugin-syntax-import-attributes-7.24.7.tgz",
+      "integrity": "sha512-hbX+lKKeUMGihnK8nvKqmXBInriT3GVjzXKFriV3YC6APGxMbP8RZNFwy91+hocLXq90Mta+HshoB31802bb8A==",
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.22.5"
+        "@babel/helper-plugin-utils": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -784,11 +826,11 @@
       }
     },
     "node_modules/@babel/plugin-syntax-jsx": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-syntax-jsx/-/plugin-syntax-jsx-7.23.3.tgz",
-      "integrity": "sha512-EB2MELswq55OHUoRZLGg/zC7QWUKfNLpE57m/S2yr1uEneIgsTgrSzXP3NXEsMkVn76OlaVVnzN+ugObuYGwhg==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-syntax-jsx/-/plugin-syntax-jsx-7.24.7.tgz",
+      "integrity": "sha512-6ddciUPe/mpMnOKv/U+RSd2vvVy+Yw/JfBB0ZHYjEZt9NLHmCUylNYlsbqCCS1Bffjlb0fCwC9Vqz+sBz6PsiQ==",
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.22.5"
+        "@babel/helper-plugin-utils": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -892,11 +934,11 @@
       }
     },
     "node_modules/@babel/plugin-syntax-typescript": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-syntax-typescript/-/plugin-syntax-typescript-7.23.3.tgz",
-      "integrity": "sha512-9EiNjVJOMwCO+43TqoTrgQ8jMwcAd0sWyXi9RPfIsLTj4R2MADDDQXELhffaUx/uJv2AYcxBgPwH6j4TIA4ytQ==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-syntax-typescript/-/plugin-syntax-typescript-7.24.7.tgz",
+      "integrity": "sha512-c/+fVeJBB0FeKsFvwytYiUD+LBvhHjGSI0g446PRGdSVGZLRNArBUno2PETbAly3tpiNAQR5XaZ+JslxkotsbA==",
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.22.5"
+        "@babel/helper-plugin-utils": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -921,11 +963,11 @@
       }
     },
     "node_modules/@babel/plugin-transform-arrow-functions": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-arrow-functions/-/plugin-transform-arrow-functions-7.23.3.tgz",
-      "integrity": "sha512-NzQcQrzaQPkaEwoTm4Mhyl8jI1huEL/WWIEvudjTCMJ9aBZNpsJbMASx7EQECtQQPS/DcnFpo0FIh3LvEO9cxQ==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-arrow-functions/-/plugin-transform-arrow-functions-7.24.7.tgz",
+      "integrity": "sha512-Dt9LQs6iEY++gXUwY03DNFat5C2NbO48jj+j/bSAz6b3HgPs39qcPiYt77fDObIcFwj3/C2ICX9YMwGflUoSHQ==",
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.22.5"
+        "@babel/helper-plugin-utils": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -935,13 +977,13 @@
       }
     },
     "node_modules/@babel/plugin-transform-async-generator-functions": {
-      "version": "7.23.4",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-async-generator-functions/-/plugin-transform-async-generator-functions-7.23.4.tgz",
-      "integrity": "sha512-efdkfPhHYTtn0G6n2ddrESE91fgXxjlqLsnUtPWnJs4a4mZIbUaK7ffqKIIUKXSHwcDvaCVX6GXkaJJFqtX7jw==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-async-generator-functions/-/plugin-transform-async-generator-functions-7.24.7.tgz",
+      "integrity": "sha512-o+iF77e3u7ZS4AoAuJvapz9Fm001PuD2V3Lp6OSE4FYQke+cSewYtnek+THqGRWyQloRCyvWL1OkyfNEl9vr/g==",
       "dependencies": {
-        "@babel/helper-environment-visitor": "^7.22.20",
-        "@babel/helper-plugin-utils": "^7.22.5",
-        "@babel/helper-remap-async-to-generator": "^7.22.20",
+        "@babel/helper-environment-visitor": "^7.24.7",
+        "@babel/helper-plugin-utils": "^7.24.7",
+        "@babel/helper-remap-async-to-generator": "^7.24.7",
         "@babel/plugin-syntax-async-generators": "^7.8.4"
       },
       "engines": {
@@ -952,13 +994,13 @@
       }
     },
     "node_modules/@babel/plugin-transform-async-to-generator": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-async-to-generator/-/plugin-transform-async-to-generator-7.23.3.tgz",
-      "integrity": "sha512-A7LFsKi4U4fomjqXJlZg/u0ft/n8/7n7lpffUP/ZULx/DtV9SGlNKZolHH6PE8Xl1ngCc0M11OaeZptXVkfKSw==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-async-to-generator/-/plugin-transform-async-to-generator-7.24.7.tgz",
+      "integrity": "sha512-SQY01PcJfmQ+4Ash7NE+rpbLFbmqA2GPIgqzxfFTL4t1FKRq4zTms/7htKpoCUI9OcFYgzqfmCdH53s6/jn5fA==",
       "dependencies": {
-        "@babel/helper-module-imports": "^7.22.15",
-        "@babel/helper-plugin-utils": "^7.22.5",
-        "@babel/helper-remap-async-to-generator": "^7.22.20"
+        "@babel/helper-module-imports": "^7.24.7",
+        "@babel/helper-plugin-utils": "^7.24.7",
+        "@babel/helper-remap-async-to-generator": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -968,11 +1010,11 @@
       }
     },
     "node_modules/@babel/plugin-transform-block-scoped-functions": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-block-scoped-functions/-/plugin-transform-block-scoped-functions-7.23.3.tgz",
-      "integrity": "sha512-vI+0sIaPIO6CNuM9Kk5VmXcMVRiOpDh7w2zZt9GXzmE/9KD70CUEVhvPR/etAeNK/FAEkhxQtXOzVF3EuRL41A==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-block-scoped-functions/-/plugin-transform-block-scoped-functions-7.24.7.tgz",
+      "integrity": "sha512-yO7RAz6EsVQDaBH18IDJcMB1HnrUn2FJ/Jslc/WtPPWcjhpUJXU/rjbwmluzp7v/ZzWcEhTMXELnnsz8djWDwQ==",
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.22.5"
+        "@babel/helper-plugin-utils": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -982,11 +1024,11 @@
       }
     },
     "node_modules/@babel/plugin-transform-block-scoping": {
-      "version": "7.23.4",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-block-scoping/-/plugin-transform-block-scoping-7.23.4.tgz",
-      "integrity": "sha512-0QqbP6B6HOh7/8iNR4CQU2Th/bbRtBp4KS9vcaZd1fZ0wSh5Fyssg0UCIHwxh+ka+pNDREbVLQnHCMHKZfPwfw==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-block-scoping/-/plugin-transform-block-scoping-7.24.7.tgz",
+      "integrity": "sha512-Nd5CvgMbWc+oWzBsuaMcbwjJWAcp5qzrbg69SZdHSP7AMY0AbWFqFO0WTFCA1jxhMCwodRwvRec8k0QUbZk7RQ==",
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.22.5"
+        "@babel/helper-plugin-utils": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -996,12 +1038,12 @@
       }
     },
     "node_modules/@babel/plugin-transform-class-properties": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-class-properties/-/plugin-transform-class-properties-7.23.3.tgz",
-      "integrity": "sha512-uM+AN8yCIjDPccsKGlw271xjJtGii+xQIF/uMPS8H15L12jZTsLfF4o5vNO7d/oUguOyfdikHGc/yi9ge4SGIg==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-class-properties/-/plugin-transform-class-properties-7.24.7.tgz",
+      "integrity": "sha512-vKbfawVYayKcSeSR5YYzzyXvsDFWU2mD8U5TFeXtbCPLFUqe7GyCgvO6XDHzje862ODrOwy6WCPmKeWHbCFJ4w==",
       "dependencies": {
-        "@babel/helper-create-class-features-plugin": "^7.22.15",
-        "@babel/helper-plugin-utils": "^7.22.5"
+        "@babel/helper-create-class-features-plugin": "^7.24.7",
+        "@babel/helper-plugin-utils": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -1011,12 +1053,12 @@
       }
     },
     "node_modules/@babel/plugin-transform-class-static-block": {
-      "version": "7.23.4",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-class-static-block/-/plugin-transform-class-static-block-7.23.4.tgz",
-      "integrity": "sha512-nsWu/1M+ggti1SOALj3hfx5FXzAY06fwPJsUZD4/A5e1bWi46VUIWtD+kOX6/IdhXGsXBWllLFDSnqSCdUNydQ==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-class-static-block/-/plugin-transform-class-static-block-7.24.7.tgz",
+      "integrity": "sha512-HMXK3WbBPpZQufbMG4B46A90PkuuhN9vBCb5T8+VAHqvAqvcLi+2cKoukcpmUYkszLhScU3l1iudhrks3DggRQ==",
       "dependencies": {
-        "@babel/helper-create-class-features-plugin": "^7.22.15",
-        "@babel/helper-plugin-utils": "^7.22.5",
+        "@babel/helper-create-class-features-plugin": "^7.24.7",
+        "@babel/helper-plugin-utils": "^7.24.7",
         "@babel/plugin-syntax-class-static-block": "^7.14.5"
       },
       "engines": {
@@ -1027,18 +1069,17 @@
       }
     },
     "node_modules/@babel/plugin-transform-classes": {
-      "version": "7.23.5",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-classes/-/plugin-transform-classes-7.23.5.tgz",
-      "integrity": "sha512-jvOTR4nicqYC9yzOHIhXG5emiFEOpappSJAl73SDSEDcybD+Puuze8Tnpb9p9qEyYup24tq891gkaygIFvWDqg==",
-      "dependencies": {
-        "@babel/helper-annotate-as-pure": "^7.22.5",
-        "@babel/helper-compilation-targets": "^7.22.15",
-        "@babel/helper-environment-visitor": "^7.22.20",
-        "@babel/helper-function-name": "^7.23.0",
-        "@babel/helper-optimise-call-expression": "^7.22.5",
-        "@babel/helper-plugin-utils": "^7.22.5",
-        "@babel/helper-replace-supers": "^7.22.20",
-        "@babel/helper-split-export-declaration": "^7.22.6",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-classes/-/plugin-transform-classes-7.24.7.tgz",
+      "integrity": "sha512-CFbbBigp8ln4FU6Bpy6g7sE8B/WmCmzvivzUC6xDAdWVsjYTXijpuuGJmYkAaoWAzcItGKT3IOAbxRItZ5HTjw==",
+      "dependencies": {
+        "@babel/helper-annotate-as-pure": "^7.24.7",
+        "@babel/helper-compilation-targets": "^7.24.7",
+        "@babel/helper-environment-visitor": "^7.24.7",
+        "@babel/helper-function-name": "^7.24.7",
+        "@babel/helper-plugin-utils": "^7.24.7",
+        "@babel/helper-replace-supers": "^7.24.7",
+        "@babel/helper-split-export-declaration": "^7.24.7",
         "globals": "^11.1.0"
       },
       "engines": {
@@ -1049,12 +1090,12 @@
       }
     },
     "node_modules/@babel/plugin-transform-computed-properties": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-computed-properties/-/plugin-transform-computed-properties-7.23.3.tgz",
-      "integrity": "sha512-dTj83UVTLw/+nbiHqQSFdwO9CbTtwq1DsDqm3CUEtDrZNET5rT5E6bIdTlOftDTDLMYxvxHNEYO4B9SLl8SLZw==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-computed-properties/-/plugin-transform-computed-properties-7.24.7.tgz",
+      "integrity": "sha512-25cS7v+707Gu6Ds2oY6tCkUwsJ9YIDbggd9+cu9jzzDgiNq7hR/8dkzxWfKWnTic26vsI3EsCXNd4iEB6e8esQ==",
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.22.5",
-        "@babel/template": "^7.22.15"
+        "@babel/helper-plugin-utils": "^7.24.7",
+        "@babel/template": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -1064,11 +1105,11 @@
       }
     },
     "node_modules/@babel/plugin-transform-destructuring": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-destructuring/-/plugin-transform-destructuring-7.23.3.tgz",
-      "integrity": "sha512-n225npDqjDIr967cMScVKHXJs7rout1q+tt50inyBCPkyZ8KxeI6d+GIbSBTT/w/9WdlWDOej3V9HE5Lgk57gw==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-destructuring/-/plugin-transform-destructuring-7.24.7.tgz",
+      "integrity": "sha512-19eJO/8kdCQ9zISOf+SEUJM/bAUIsvY3YDnXZTupUCQ8LgrWnsG/gFB9dvXqdXnRXMAM8fvt7b0CBKQHNGy1mw==",
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.22.5"
+        "@babel/helper-plugin-utils": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -1078,12 +1119,12 @@
       }
     },
     "node_modules/@babel/plugin-transform-dotall-regex": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-dotall-regex/-/plugin-transform-dotall-regex-7.23.3.tgz",
-      "integrity": "sha512-vgnFYDHAKzFaTVp+mneDsIEbnJ2Np/9ng9iviHw3P/KVcgONxpNULEW/51Z/BaFojG2GI2GwwXck5uV1+1NOYQ==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-dotall-regex/-/plugin-transform-dotall-regex-7.24.7.tgz",
+      "integrity": "sha512-ZOA3W+1RRTSWvyqcMJDLqbchh7U4NRGqwRfFSVbOLS/ePIP4vHB5e8T8eXcuqyN1QkgKyj5wuW0lcS85v4CrSw==",
       "dependencies": {
-        "@babel/helper-create-regexp-features-plugin": "^7.22.15",
-        "@babel/helper-plugin-utils": "^7.22.5"
+        "@babel/helper-create-regexp-features-plugin": "^7.24.7",
+        "@babel/helper-plugin-utils": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -1093,11 +1134,11 @@
       }
     },
     "node_modules/@babel/plugin-transform-duplicate-keys": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-duplicate-keys/-/plugin-transform-duplicate-keys-7.23.3.tgz",
-      "integrity": "sha512-RrqQ+BQmU3Oyav3J+7/myfvRCq7Tbz+kKLLshUmMwNlDHExbGL7ARhajvoBJEvc+fCguPPu887N+3RRXBVKZUA==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-duplicate-keys/-/plugin-transform-duplicate-keys-7.24.7.tgz",
+      "integrity": "sha512-JdYfXyCRihAe46jUIliuL2/s0x0wObgwwiGxw/UbgJBr20gQBThrokO4nYKgWkD7uBaqM7+9x5TU7NkExZJyzw==",
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.22.5"
+        "@babel/helper-plugin-utils": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -1107,11 +1148,11 @@
       }
     },
     "node_modules/@babel/plugin-transform-dynamic-import": {
-      "version": "7.23.4",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-dynamic-import/-/plugin-transform-dynamic-import-7.23.4.tgz",
-      "integrity": "sha512-V6jIbLhdJK86MaLh4Jpghi8ho5fGzt3imHOBu/x0jlBaPYqDoWz4RDXjmMOfnh+JWNaQleEAByZLV0QzBT4YQQ==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-dynamic-import/-/plugin-transform-dynamic-import-7.24.7.tgz",
+      "integrity": "sha512-sc3X26PhZQDb3JhORmakcbvkeInvxz+A8oda99lj7J60QRuPZvNAk9wQlTBS1ZynelDrDmTU4pw1tyc5d5ZMUg==",
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.22.5",
+        "@babel/helper-plugin-utils": "^7.24.7",
         "@babel/plugin-syntax-dynamic-import": "^7.8.3"
       },
       "engines": {
@@ -1122,12 +1163,12 @@
       }
     },
     "node_modules/@babel/plugin-transform-exponentiation-operator": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-exponentiation-operator/-/plugin-transform-exponentiation-operator-7.23.3.tgz",
-      "integrity": "sha512-5fhCsl1odX96u7ILKHBj4/Y8vipoqwsJMh4csSA8qFfxrZDEA4Ssku2DyNvMJSmZNOEBT750LfFPbtrnTP90BQ==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-exponentiation-operator/-/plugin-transform-exponentiation-operator-7.24.7.tgz",
+      "integrity": "sha512-Rqe/vSc9OYgDajNIK35u7ot+KeCoetqQYFXM4Epf7M7ez3lWlOjrDjrwMei6caCVhfdw+mIKD4cgdGNy5JQotQ==",
       "dependencies": {
-        "@babel/helper-builder-binary-assignment-operator-visitor": "^7.22.15",
-        "@babel/helper-plugin-utils": "^7.22.5"
+        "@babel/helper-builder-binary-assignment-operator-visitor": "^7.24.7",
+        "@babel/helper-plugin-utils": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -1137,11 +1178,11 @@
       }
     },
     "node_modules/@babel/plugin-transform-export-namespace-from": {
-      "version": "7.23.4",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-export-namespace-from/-/plugin-transform-export-namespace-from-7.23.4.tgz",
-      "integrity": "sha512-GzuSBcKkx62dGzZI1WVgTWvkkz84FZO5TC5T8dl/Tht/rAla6Dg/Mz9Yhypg+ezVACf/rgDuQt3kbWEv7LdUDQ==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-export-namespace-from/-/plugin-transform-export-namespace-from-7.24.7.tgz",
+      "integrity": "sha512-v0K9uNYsPL3oXZ/7F9NNIbAj2jv1whUEtyA6aujhekLs56R++JDQuzRcP2/z4WX5Vg/c5lE9uWZA0/iUoFhLTA==",
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.22.5",
+        "@babel/helper-plugin-utils": "^7.24.7",
         "@babel/plugin-syntax-export-namespace-from": "^7.8.3"
       },
       "engines": {
@@ -1152,12 +1193,12 @@
       }
     },
     "node_modules/@babel/plugin-transform-for-of": {
-      "version": "7.23.6",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-for-of/-/plugin-transform-for-of-7.23.6.tgz",
-      "integrity": "sha512-aYH4ytZ0qSuBbpfhuofbg/e96oQ7U2w1Aw/UQmKT+1l39uEhUPoFS3fHevDc1G0OvewyDudfMKY1OulczHzWIw==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-for-of/-/plugin-transform-for-of-7.24.7.tgz",
+      "integrity": "sha512-wo9ogrDG1ITTTBsy46oGiN1dS9A7MROBTcYsfS8DtsImMkHk9JXJ3EWQM6X2SUw4x80uGPlwj0o00Uoc6nEE3g==",
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.22.5",
-        "@babel/helper-skip-transparent-expression-wrappers": "^7.22.5"
+        "@babel/helper-plugin-utils": "^7.24.7",
+        "@babel/helper-skip-transparent-expression-wrappers": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -1167,13 +1208,13 @@
       }
     },
     "node_modules/@babel/plugin-transform-function-name": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-function-name/-/plugin-transform-function-name-7.23.3.tgz",
-      "integrity": "sha512-I1QXp1LxIvt8yLaib49dRW5Okt7Q4oaxao6tFVKS/anCdEOMtYwWVKoiOA1p34GOWIZjUK0E+zCp7+l1pfQyiw==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-function-name/-/plugin-transform-function-name-7.24.7.tgz",
+      "integrity": "sha512-U9FcnA821YoILngSmYkW6FjyQe2TyZD5pHt4EVIhmcTkrJw/3KqcrRSxuOo5tFZJi7TE19iDyI1u+weTI7bn2w==",
       "dependencies": {
-        "@babel/helper-compilation-targets": "^7.22.15",
-        "@babel/helper-function-name": "^7.23.0",
-        "@babel/helper-plugin-utils": "^7.22.5"
+        "@babel/helper-compilation-targets": "^7.24.7",
+        "@babel/helper-function-name": "^7.24.7",
+        "@babel/helper-plugin-utils": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -1183,11 +1224,11 @@
       }
     },
     "node_modules/@babel/plugin-transform-json-strings": {
-      "version": "7.23.4",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-json-strings/-/plugin-transform-json-strings-7.23.4.tgz",
-      "integrity": "sha512-81nTOqM1dMwZ/aRXQ59zVubN9wHGqk6UtqRK+/q+ciXmRy8fSolhGVvG09HHRGo4l6fr/c4ZhXUQH0uFW7PZbg==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-json-strings/-/plugin-transform-json-strings-7.24.7.tgz",
+      "integrity": "sha512-2yFnBGDvRuxAaE/f0vfBKvtnvvqU8tGpMHqMNpTN2oWMKIR3NqFkjaAgGwawhqK/pIN2T3XdjGPdaG0vDhOBGw==",
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.22.5",
+        "@babel/helper-plugin-utils": "^7.24.7",
         "@babel/plugin-syntax-json-strings": "^7.8.3"
       },
       "engines": {
@@ -1198,11 +1239,11 @@
       }
     },
     "node_modules/@babel/plugin-transform-literals": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-literals/-/plugin-transform-literals-7.23.3.tgz",
-      "integrity": "sha512-wZ0PIXRxnwZvl9AYpqNUxpZ5BiTGrYt7kueGQ+N5FiQ7RCOD4cm8iShd6S6ggfVIWaJf2EMk8eRzAh52RfP4rQ==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-literals/-/plugin-transform-literals-7.24.7.tgz",
+      "integrity": "sha512-vcwCbb4HDH+hWi8Pqenwnjy+UiklO4Kt1vfspcQYFhJdpthSnW8XvWGyDZWKNVrVbVViI/S7K9PDJZiUmP2fYQ==",
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.22.5"
+        "@babel/helper-plugin-utils": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -1212,11 +1253,11 @@
       }
     },
     "node_modules/@babel/plugin-transform-logical-assignment-operators": {
-      "version": "7.23.4",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-logical-assignment-operators/-/plugin-transform-logical-assignment-operators-7.23.4.tgz",
-      "integrity": "sha512-Mc/ALf1rmZTP4JKKEhUwiORU+vcfarFVLfcFiolKUo6sewoxSEgl36ak5t+4WamRsNr6nzjZXQjM35WsU+9vbg==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-logical-assignment-operators/-/plugin-transform-logical-assignment-operators-7.24.7.tgz",
+      "integrity": "sha512-4D2tpwlQ1odXmTEIFWy9ELJcZHqrStlzK/dAOWYyxX3zT0iXQB6banjgeOJQXzEc4S0E0a5A+hahxPaEFYftsw==",
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.22.5",
+        "@babel/helper-plugin-utils": "^7.24.7",
         "@babel/plugin-syntax-logical-assignment-operators": "^7.10.4"
       },
       "engines": {
@@ -1227,11 +1268,11 @@
       }
     },
     "node_modules/@babel/plugin-transform-member-expression-literals": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-member-expression-literals/-/plugin-transform-member-expression-literals-7.23.3.tgz",
-      "integrity": "sha512-sC3LdDBDi5x96LA+Ytekz2ZPk8i/Ck+DEuDbRAll5rknJ5XRTSaPKEYwomLcs1AA8wg9b3KjIQRsnApj+q51Ag==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-member-expression-literals/-/plugin-transform-member-expression-literals-7.24.7.tgz",
+      "integrity": "sha512-T/hRC1uqrzXMKLQ6UCwMT85S3EvqaBXDGf0FaMf4446Qx9vKwlghvee0+uuZcDUCZU5RuNi4781UQ7R308zzBw==",
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.22.5"
+        "@babel/helper-plugin-utils": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -1241,12 +1282,12 @@
       }
     },
     "node_modules/@babel/plugin-transform-modules-amd": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-modules-amd/-/plugin-transform-modules-amd-7.23.3.tgz",
-      "integrity": "sha512-vJYQGxeKM4t8hYCKVBlZX/gtIY2I7mRGFNcm85sgXGMTBcoV3QdVtdpbcWEbzbfUIUZKwvgFT82mRvaQIebZzw==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-modules-amd/-/plugin-transform-modules-amd-7.24.7.tgz",
+      "integrity": "sha512-9+pB1qxV3vs/8Hdmz/CulFB8w2tuu6EB94JZFsjdqxQokwGa9Unap7Bo2gGBGIvPmDIVvQrom7r5m/TCDMURhg==",
       "dependencies": {
-        "@babel/helper-module-transforms": "^7.23.3",
-        "@babel/helper-plugin-utils": "^7.22.5"
+        "@babel/helper-module-transforms": "^7.24.7",
+        "@babel/helper-plugin-utils": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -1256,13 +1297,13 @@
       }
     },
     "node_modules/@babel/plugin-transform-modules-commonjs": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-modules-commonjs/-/plugin-transform-modules-commonjs-7.23.3.tgz",
-      "integrity": "sha512-aVS0F65LKsdNOtcz6FRCpE4OgsP2OFnW46qNxNIX9h3wuzaNcSQsJysuMwqSibC98HPrf2vCgtxKNwS0DAlgcA==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-modules-commonjs/-/plugin-transform-modules-commonjs-7.24.7.tgz",
+      "integrity": "sha512-iFI8GDxtevHJ/Z22J5xQpVqFLlMNstcLXh994xifFwxxGslr2ZXXLWgtBeLctOD63UFDArdvN6Tg8RFw+aEmjQ==",
       "dependencies": {
-        "@babel/helper-module-transforms": "^7.23.3",
-        "@babel/helper-plugin-utils": "^7.22.5",
-        "@babel/helper-simple-access": "^7.22.5"
+        "@babel/helper-module-transforms": "^7.24.7",
+        "@babel/helper-plugin-utils": "^7.24.7",
+        "@babel/helper-simple-access": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -1272,14 +1313,14 @@
       }
     },
     "node_modules/@babel/plugin-transform-modules-systemjs": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-modules-systemjs/-/plugin-transform-modules-systemjs-7.23.3.tgz",
-      "integrity": "sha512-ZxyKGTkF9xT9YJuKQRo19ewf3pXpopuYQd8cDXqNzc3mUNbOME0RKMoZxviQk74hwzfQsEe66dE92MaZbdHKNQ==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-modules-systemjs/-/plugin-transform-modules-systemjs-7.24.7.tgz",
+      "integrity": "sha512-GYQE0tW7YoaN13qFh3O1NCY4MPkUiAH3fiF7UcV/I3ajmDKEdG3l+UOcbAm4zUE3gnvUU+Eni7XrVKo9eO9auw==",
       "dependencies": {
-        "@babel/helper-hoist-variables": "^7.22.5",
-        "@babel/helper-module-transforms": "^7.23.3",
-        "@babel/helper-plugin-utils": "^7.22.5",
-        "@babel/helper-validator-identifier": "^7.22.20"
+        "@babel/helper-hoist-variables": "^7.24.7",
+        "@babel/helper-module-transforms": "^7.24.7",
+        "@babel/helper-plugin-utils": "^7.24.7",
+        "@babel/helper-validator-identifier": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -1289,12 +1330,12 @@
       }
     },
     "node_modules/@babel/plugin-transform-modules-umd": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-modules-umd/-/plugin-transform-modules-umd-7.23.3.tgz",
-      "integrity": "sha512-zHsy9iXX2nIsCBFPud3jKn1IRPWg3Ing1qOZgeKV39m1ZgIdpJqvlWVeiHBZC6ITRG0MfskhYe9cLgntfSFPIg==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-modules-umd/-/plugin-transform-modules-umd-7.24.7.tgz",
+      "integrity": "sha512-3aytQvqJ/h9z4g8AsKPLvD4Zqi2qT+L3j7XoFFu1XBlZWEl2/1kWnhmAbxpLgPrHSY0M6UA02jyTiwUVtiKR6A==",
       "dependencies": {
-        "@babel/helper-module-transforms": "^7.23.3",
-        "@babel/helper-plugin-utils": "^7.22.5"
+        "@babel/helper-module-transforms": "^7.24.7",
+        "@babel/helper-plugin-utils": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -1304,12 +1345,12 @@
       }
     },
     "node_modules/@babel/plugin-transform-named-capturing-groups-regex": {
-      "version": "7.22.5",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-named-capturing-groups-regex/-/plugin-transform-named-capturing-groups-regex-7.22.5.tgz",
-      "integrity": "sha512-YgLLKmS3aUBhHaxp5hi1WJTgOUb/NCuDHzGT9z9WTt3YG+CPRhJs6nprbStx6DnWM4dh6gt7SU3sZodbZ08adQ==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-named-capturing-groups-regex/-/plugin-transform-named-capturing-groups-regex-7.24.7.tgz",
+      "integrity": "sha512-/jr7h/EWeJtk1U/uz2jlsCioHkZk1JJZVcc8oQsJ1dUlaJD83f4/6Zeh2aHt9BIFokHIsSeDfhUmju0+1GPd6g==",
       "dependencies": {
-        "@babel/helper-create-regexp-features-plugin": "^7.22.5",
-        "@babel/helper-plugin-utils": "^7.22.5"
+        "@babel/helper-create-regexp-features-plugin": "^7.24.7",
+        "@babel/helper-plugin-utils": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -1319,11 +1360,11 @@
       }
     },
     "node_modules/@babel/plugin-transform-new-target": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-new-target/-/plugin-transform-new-target-7.23.3.tgz",
-      "integrity": "sha512-YJ3xKqtJMAT5/TIZnpAR3I+K+WaDowYbN3xyxI8zxx/Gsypwf9B9h0VB+1Nh6ACAAPRS5NSRje0uVv5i79HYGQ==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-new-target/-/plugin-transform-new-target-7.24.7.tgz",
+      "integrity": "sha512-RNKwfRIXg4Ls/8mMTza5oPF5RkOW8Wy/WgMAp1/F1yZ8mMbtwXW+HDoJiOsagWrAhI5f57Vncrmr9XeT4CVapA==",
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.22.5"
+        "@babel/helper-plugin-utils": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -1333,11 +1374,11 @@
       }
     },
     "node_modules/@babel/plugin-transform-nullish-coalescing-operator": {
-      "version": "7.23.4",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-nullish-coalescing-operator/-/plugin-transform-nullish-coalescing-operator-7.23.4.tgz",
-      "integrity": "sha512-jHE9EVVqHKAQx+VePv5LLGHjmHSJR76vawFPTdlxR/LVJPfOEGxREQwQfjuZEOPTwG92X3LINSh3M40Rv4zpVA==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-nullish-coalescing-operator/-/plugin-transform-nullish-coalescing-operator-7.24.7.tgz",
+      "integrity": "sha512-Ts7xQVk1OEocqzm8rHMXHlxvsfZ0cEF2yomUqpKENHWMF4zKk175Y4q8H5knJes6PgYad50uuRmt3UJuhBw8pQ==",
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.22.5",
+        "@babel/helper-plugin-utils": "^7.24.7",
         "@babel/plugin-syntax-nullish-coalescing-operator": "^7.8.3"
       },
       "engines": {
@@ -1348,11 +1389,11 @@
       }
     },
     "node_modules/@babel/plugin-transform-numeric-separator": {
-      "version": "7.23.4",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-numeric-separator/-/plugin-transform-numeric-separator-7.23.4.tgz",
-      "integrity": "sha512-mps6auzgwjRrwKEZA05cOwuDc9FAzoyFS4ZsG/8F43bTLf/TgkJg7QXOrPO1JO599iA3qgK9MXdMGOEC8O1h6Q==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-numeric-separator/-/plugin-transform-numeric-separator-7.24.7.tgz",
+      "integrity": "sha512-e6q1TiVUzvH9KRvicuxdBTUj4AdKSRwzIyFFnfnezpCfP2/7Qmbb8qbU2j7GODbl4JMkblitCQjKYUaX/qkkwA==",
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.22.5",
+        "@babel/helper-plugin-utils": "^7.24.7",
         "@babel/plugin-syntax-numeric-separator": "^7.10.4"
       },
       "engines": {
@@ -1363,15 +1404,14 @@
       }
     },
     "node_modules/@babel/plugin-transform-object-rest-spread": {
-      "version": "7.23.4",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-object-rest-spread/-/plugin-transform-object-rest-spread-7.23.4.tgz",
-      "integrity": "sha512-9x9K1YyeQVw0iOXJlIzwm8ltobIIv7j2iLyP2jIhEbqPRQ7ScNgwQufU2I0Gq11VjyG4gI4yMXt2VFags+1N3g==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-object-rest-spread/-/plugin-transform-object-rest-spread-7.24.7.tgz",
+      "integrity": "sha512-4QrHAr0aXQCEFni2q4DqKLD31n2DL+RxcwnNjDFkSG0eNQ/xCavnRkfCUjsyqGC2OviNJvZOF/mQqZBw7i2C5Q==",
       "dependencies": {
-        "@babel/compat-data": "^7.23.3",
-        "@babel/helper-compilation-targets": "^7.22.15",
-        "@babel/helper-plugin-utils": "^7.22.5",
+        "@babel/helper-compilation-targets": "^7.24.7",
+        "@babel/helper-plugin-utils": "^7.24.7",
         "@babel/plugin-syntax-object-rest-spread": "^7.8.3",
-        "@babel/plugin-transform-parameters": "^7.23.3"
+        "@babel/plugin-transform-parameters": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -1381,12 +1421,12 @@
       }
     },
     "node_modules/@babel/plugin-transform-object-super": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-object-super/-/plugin-transform-object-super-7.23.3.tgz",
-      "integrity": "sha512-BwQ8q0x2JG+3lxCVFohg+KbQM7plfpBwThdW9A6TMtWwLsbDA01Ek2Zb/AgDN39BiZsExm4qrXxjk+P1/fzGrA==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-object-super/-/plugin-transform-object-super-7.24.7.tgz",
+      "integrity": "sha512-A/vVLwN6lBrMFmMDmPPz0jnE6ZGx7Jq7d6sT/Ev4H65RER6pZ+kczlf1DthF5N0qaPHBsI7UXiE8Zy66nmAovg==",
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.22.5",
-        "@babel/helper-replace-supers": "^7.22.20"
+        "@babel/helper-plugin-utils": "^7.24.7",
+        "@babel/helper-replace-supers": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -1396,11 +1436,11 @@
       }
     },
     "node_modules/@babel/plugin-transform-optional-catch-binding": {
-      "version": "7.23.4",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-optional-catch-binding/-/plugin-transform-optional-catch-binding-7.23.4.tgz",
-      "integrity": "sha512-XIq8t0rJPHf6Wvmbn9nFxU6ao4c7WhghTR5WyV8SrJfUFzyxhCm4nhC+iAp3HFhbAKLfYpgzhJ6t4XCtVwqO5A==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-optional-catch-binding/-/plugin-transform-optional-catch-binding-7.24.7.tgz",
+      "integrity": "sha512-uLEndKqP5BfBbC/5jTwPxLh9kqPWWgzN/f8w6UwAIirAEqiIVJWWY312X72Eub09g5KF9+Zn7+hT7sDxmhRuKA==",
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.22.5",
+        "@babel/helper-plugin-utils": "^7.24.7",
         "@babel/plugin-syntax-optional-catch-binding": "^7.8.3"
       },
       "engines": {
@@ -1411,12 +1451,12 @@
       }
     },
     "node_modules/@babel/plugin-transform-optional-chaining": {
-      "version": "7.23.4",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-optional-chaining/-/plugin-transform-optional-chaining-7.23.4.tgz",
-      "integrity": "sha512-ZU8y5zWOfjM5vZ+asjgAPwDaBjJzgufjES89Rs4Lpq63O300R/kOz30WCLo6BxxX6QVEilwSlpClnG5cZaikTA==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-optional-chaining/-/plugin-transform-optional-chaining-7.24.7.tgz",
+      "integrity": "sha512-tK+0N9yd4j+x/4hxF3F0e0fu/VdcxU18y5SevtyM/PCFlQvXbR0Zmlo2eBrKtVipGNFzpq56o8WsIIKcJFUCRQ==",
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.22.5",
-        "@babel/helper-skip-transparent-expression-wrappers": "^7.22.5",
+        "@babel/helper-plugin-utils": "^7.24.7",
+        "@babel/helper-skip-transparent-expression-wrappers": "^7.24.7",
         "@babel/plugin-syntax-optional-chaining": "^7.8.3"
       },
       "engines": {
@@ -1427,11 +1467,11 @@
       }
     },
     "node_modules/@babel/plugin-transform-parameters": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-parameters/-/plugin-transform-parameters-7.23.3.tgz",
-      "integrity": "sha512-09lMt6UsUb3/34BbECKVbVwrT9bO6lILWln237z7sLaWnMsTi7Yc9fhX5DLpkJzAGfaReXI22wP41SZmnAA3Vw==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-parameters/-/plugin-transform-parameters-7.24.7.tgz",
+      "integrity": "sha512-yGWW5Rr+sQOhK0Ot8hjDJuxU3XLRQGflvT4lhlSY0DFvdb3TwKaY26CJzHtYllU0vT9j58hc37ndFPsqT1SrzA==",
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.22.5"
+        "@babel/helper-plugin-utils": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -1441,12 +1481,12 @@
       }
     },
     "node_modules/@babel/plugin-transform-private-methods": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-private-methods/-/plugin-transform-private-methods-7.23.3.tgz",
-      "integrity": "sha512-UzqRcRtWsDMTLrRWFvUBDwmw06tCQH9Rl1uAjfh6ijMSmGYQ+fpdB+cnqRC8EMh5tuuxSv0/TejGL+7vyj+50g==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-private-methods/-/plugin-transform-private-methods-7.24.7.tgz",
+      "integrity": "sha512-COTCOkG2hn4JKGEKBADkA8WNb35TGkkRbI5iT845dB+NyqgO8Hn+ajPbSnIQznneJTa3d30scb6iz/DhH8GsJQ==",
       "dependencies": {
-        "@babel/helper-create-class-features-plugin": "^7.22.15",
-        "@babel/helper-plugin-utils": "^7.22.5"
+        "@babel/helper-create-class-features-plugin": "^7.24.7",
+        "@babel/helper-plugin-utils": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -1456,13 +1496,13 @@
       }
     },
     "node_modules/@babel/plugin-transform-private-property-in-object": {
-      "version": "7.23.4",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-private-property-in-object/-/plugin-transform-private-property-in-object-7.23.4.tgz",
-      "integrity": "sha512-9G3K1YqTq3F4Vt88Djx1UZ79PDyj+yKRnUy7cZGSMe+a7jkwD259uKKuUzQlPkGam7R+8RJwh5z4xO27fA1o2A==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-private-property-in-object/-/plugin-transform-private-property-in-object-7.24.7.tgz",
+      "integrity": "sha512-9z76mxwnwFxMyxZWEgdgECQglF2Q7cFLm0kMf8pGwt+GSJsY0cONKj/UuO4bOH0w/uAel3ekS4ra5CEAyJRmDA==",
       "dependencies": {
-        "@babel/helper-annotate-as-pure": "^7.22.5",
-        "@babel/helper-create-class-features-plugin": "^7.22.15",
-        "@babel/helper-plugin-utils": "^7.22.5",
+        "@babel/helper-annotate-as-pure": "^7.24.7",
+        "@babel/helper-create-class-features-plugin": "^7.24.7",
+        "@babel/helper-plugin-utils": "^7.24.7",
         "@babel/plugin-syntax-private-property-in-object": "^7.14.5"
       },
       "engines": {
@@ -1473,11 +1513,11 @@
       }
     },
     "node_modules/@babel/plugin-transform-property-literals": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-property-literals/-/plugin-transform-property-literals-7.23.3.tgz",
-      "integrity": "sha512-jR3Jn3y7cZp4oEWPFAlRsSWjxKe4PZILGBSd4nis1TsC5qeSpb+nrtihJuDhNI7QHiVbUaiXa0X2RZY3/TI6Nw==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-property-literals/-/plugin-transform-property-literals-7.24.7.tgz",
+      "integrity": "sha512-EMi4MLQSHfd2nrCqQEWxFdha2gBCqU4ZcCng4WBGZ5CJL4bBRW0ptdqqDdeirGZcpALazVVNJqRmsO8/+oNCBA==",
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.22.5"
+        "@babel/helper-plugin-utils": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -1487,11 +1527,11 @@
       }
     },
     "node_modules/@babel/plugin-transform-react-constant-elements": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-react-constant-elements/-/plugin-transform-react-constant-elements-7.23.3.tgz",
-      "integrity": "sha512-zP0QKq/p6O42OL94udMgSfKXyse4RyJ0JqbQ34zDAONWjyrEsghYEyTSK5FIpmXmCpB55SHokL1cRRKHv8L2Qw==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-react-constant-elements/-/plugin-transform-react-constant-elements-7.24.7.tgz",
+      "integrity": "sha512-7LidzZfUXyfZ8/buRW6qIIHBY8wAZ1OrY9c/wTr8YhZ6vMPo+Uc/CVFLYY1spZrEQlD4w5u8wjqk5NQ3OVqQKA==",
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.22.5"
+        "@babel/helper-plugin-utils": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -1501,11 +1541,11 @@
       }
     },
     "node_modules/@babel/plugin-transform-react-display-name": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-react-display-name/-/plugin-transform-react-display-name-7.23.3.tgz",
-      "integrity": "sha512-GnvhtVfA2OAtzdX58FJxU19rhoGeQzyVndw3GgtdECQvQFXPEZIOVULHVZGAYmOgmqjXpVpfocAbSjh99V/Fqw==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-react-display-name/-/plugin-transform-react-display-name-7.24.7.tgz",
+      "integrity": "sha512-H/Snz9PFxKsS1JLI4dJLtnJgCJRoo0AUm3chP6NYr+9En1JMKloheEiLIhlp5MDVznWo+H3AAC1Mc8lmUEpsgg==",
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.22.5"
+        "@babel/helper-plugin-utils": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -1515,15 +1555,15 @@
       }
     },
     "node_modules/@babel/plugin-transform-react-jsx": {
-      "version": "7.23.4",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-react-jsx/-/plugin-transform-react-jsx-7.23.4.tgz",
-      "integrity": "sha512-5xOpoPguCZCRbo/JeHlloSkTA8Bld1J/E1/kLfD1nsuiW1m8tduTA1ERCgIZokDflX/IBzKcqR3l7VlRgiIfHA==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-react-jsx/-/plugin-transform-react-jsx-7.24.7.tgz",
+      "integrity": "sha512-+Dj06GDZEFRYvclU6k4bme55GKBEWUmByM/eoKuqg4zTNQHiApWRhQph5fxQB2wAEFvRzL1tOEj1RJ19wJrhoA==",
       "dependencies": {
-        "@babel/helper-annotate-as-pure": "^7.22.5",
-        "@babel/helper-module-imports": "^7.22.15",
-        "@babel/helper-plugin-utils": "^7.22.5",
-        "@babel/plugin-syntax-jsx": "^7.23.3",
-        "@babel/types": "^7.23.4"
+        "@babel/helper-annotate-as-pure": "^7.24.7",
+        "@babel/helper-module-imports": "^7.24.7",
+        "@babel/helper-plugin-utils": "^7.24.7",
+        "@babel/plugin-syntax-jsx": "^7.24.7",
+        "@babel/types": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -1533,11 +1573,11 @@
       }
     },
     "node_modules/@babel/plugin-transform-react-jsx-development": {
-      "version": "7.22.5",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-react-jsx-development/-/plugin-transform-react-jsx-development-7.22.5.tgz",
-      "integrity": "sha512-bDhuzwWMuInwCYeDeMzyi7TaBgRQei6DqxhbyniL7/VG4RSS7HtSL2QbY4eESy1KJqlWt8g3xeEBGPuo+XqC8A==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-react-jsx-development/-/plugin-transform-react-jsx-development-7.24.7.tgz",
+      "integrity": "sha512-QG9EnzoGn+Qar7rxuW+ZOsbWOt56FvvI93xInqsZDC5fsekx1AlIO4KIJ5M+D0p0SqSH156EpmZyXq630B8OlQ==",
       "dependencies": {
-        "@babel/plugin-transform-react-jsx": "^7.22.5"
+        "@babel/plugin-transform-react-jsx": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -1547,12 +1587,12 @@
       }
     },
     "node_modules/@babel/plugin-transform-react-pure-annotations": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-react-pure-annotations/-/plugin-transform-react-pure-annotations-7.23.3.tgz",
-      "integrity": "sha512-qMFdSS+TUhB7Q/3HVPnEdYJDQIk57jkntAwSuz9xfSE4n+3I+vHYCli3HoHawN1Z3RfCz/y1zXA/JXjG6cVImQ==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-react-pure-annotations/-/plugin-transform-react-pure-annotations-7.24.7.tgz",
+      "integrity": "sha512-PLgBVk3fzbmEjBJ/u8kFzOqS9tUeDjiaWud/rRym/yjCo/M9cASPlnrd2ZmmZpQT40fOOrvR8jh+n8jikrOhNA==",
       "dependencies": {
-        "@babel/helper-annotate-as-pure": "^7.22.5",
-        "@babel/helper-plugin-utils": "^7.22.5"
+        "@babel/helper-annotate-as-pure": "^7.24.7",
+        "@babel/helper-plugin-utils": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -1562,11 +1602,11 @@
       }
     },
     "node_modules/@babel/plugin-transform-regenerator": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-regenerator/-/plugin-transform-regenerator-7.23.3.tgz",
-      "integrity": "sha512-KP+75h0KghBMcVpuKisx3XTu9Ncut8Q8TuvGO4IhY+9D5DFEckQefOuIsB/gQ2tG71lCke4NMrtIPS8pOj18BQ==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-regenerator/-/plugin-transform-regenerator-7.24.7.tgz",
+      "integrity": "sha512-lq3fvXPdimDrlg6LWBoqj+r/DEWgONuwjuOuQCSYgRroXDH/IdM1C0IZf59fL5cHLpjEH/O6opIRBbqv7ELnuA==",
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.22.5",
+        "@babel/helper-plugin-utils": "^7.24.7",
         "regenerator-transform": "^0.15.2"
       },
       "engines": {
@@ -1577,11 +1617,11 @@
       }
     },
     "node_modules/@babel/plugin-transform-reserved-words": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-reserved-words/-/plugin-transform-reserved-words-7.23.3.tgz",
-      "integrity": "sha512-QnNTazY54YqgGxwIexMZva9gqbPa15t/x9VS+0fsEFWplwVpXYZivtgl43Z1vMpc1bdPP2PP8siFeVcnFvA3Cg==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-reserved-words/-/plugin-transform-reserved-words-7.24.7.tgz",
+      "integrity": "sha512-0DUq0pHcPKbjFZCfTss/pGkYMfy3vFWydkUBd9r0GHpIyfs2eCDENvqadMycRS9wZCXR41wucAfJHJmwA0UmoQ==",
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.22.5"
+        "@babel/helper-plugin-utils": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -1591,15 +1631,15 @@
       }
     },
     "node_modules/@babel/plugin-transform-runtime": {
-      "version": "7.23.6",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-runtime/-/plugin-transform-runtime-7.23.6.tgz",
-      "integrity": "sha512-kF1Zg62aPseQ11orDhFRw+aPG/eynNQtI+TyY+m33qJa2cJ5EEvza2P2BNTIA9E5MyqFABHEyY6CPHwgdy9aNg==",
-      "dependencies": {
-        "@babel/helper-module-imports": "^7.22.15",
-        "@babel/helper-plugin-utils": "^7.22.5",
-        "babel-plugin-polyfill-corejs2": "^0.4.6",
-        "babel-plugin-polyfill-corejs3": "^0.8.5",
-        "babel-plugin-polyfill-regenerator": "^0.5.3",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-runtime/-/plugin-transform-runtime-7.24.7.tgz",
+      "integrity": "sha512-YqXjrk4C+a1kZjewqt+Mmu2UuV1s07y8kqcUf4qYLnoqemhR4gRQikhdAhSVJioMjVTu6Mo6pAbaypEA3jY6fw==",
+      "dependencies": {
+        "@babel/helper-module-imports": "^7.24.7",
+        "@babel/helper-plugin-utils": "^7.24.7",
+        "babel-plugin-polyfill-corejs2": "^0.4.10",
+        "babel-plugin-polyfill-corejs3": "^0.10.1",
+        "babel-plugin-polyfill-regenerator": "^0.6.1",
         "semver": "^6.3.1"
       },
       "engines": {
@@ -1610,11 +1650,11 @@
       }
     },
     "node_modules/@babel/plugin-transform-shorthand-properties": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-shorthand-properties/-/plugin-transform-shorthand-properties-7.23.3.tgz",
-      "integrity": "sha512-ED2fgqZLmexWiN+YNFX26fx4gh5qHDhn1O2gvEhreLW2iI63Sqm4llRLCXALKrCnbN4Jy0VcMQZl/SAzqug/jg==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-shorthand-properties/-/plugin-transform-shorthand-properties-7.24.7.tgz",
+      "integrity": "sha512-KsDsevZMDsigzbA09+vacnLpmPH4aWjcZjXdyFKGzpplxhbeB4wYtury3vglQkg6KM/xEPKt73eCjPPf1PgXBA==",
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.22.5"
+        "@babel/helper-plugin-utils": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -1624,12 +1664,12 @@
       }
     },
     "node_modules/@babel/plugin-transform-spread": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-spread/-/plugin-transform-spread-7.23.3.tgz",
-      "integrity": "sha512-VvfVYlrlBVu+77xVTOAoxQ6mZbnIq5FM0aGBSFEcIh03qHf+zNqA4DC/3XMUozTg7bZV3e3mZQ0i13VB6v5yUg==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-spread/-/plugin-transform-spread-7.24.7.tgz",
+      "integrity": "sha512-x96oO0I09dgMDxJaANcRyD4ellXFLLiWhuwDxKZX5g2rWP1bTPkBSwCYv96VDXVT1bD9aPj8tppr5ITIh8hBng==",
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.22.5",
-        "@babel/helper-skip-transparent-expression-wrappers": "^7.22.5"
+        "@babel/helper-plugin-utils": "^7.24.7",
+        "@babel/helper-skip-transparent-expression-wrappers": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -1639,11 +1679,11 @@
       }
     },
     "node_modules/@babel/plugin-transform-sticky-regex": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-sticky-regex/-/plugin-transform-sticky-regex-7.23.3.tgz",
-      "integrity": "sha512-HZOyN9g+rtvnOU3Yh7kSxXrKbzgrm5X4GncPY1QOquu7epga5MxKHVpYu2hvQnry/H+JjckSYRb93iNfsioAGg==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-sticky-regex/-/plugin-transform-sticky-regex-7.24.7.tgz",
+      "integrity": "sha512-kHPSIJc9v24zEml5geKg9Mjx5ULpfncj0wRpYtxbvKyTtHCYDkVE3aHQ03FrpEo4gEe2vrJJS1Y9CJTaThA52g==",
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.22.5"
+        "@babel/helper-plugin-utils": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -1653,11 +1693,11 @@
       }
     },
     "node_modules/@babel/plugin-transform-template-literals": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-template-literals/-/plugin-transform-template-literals-7.23.3.tgz",
-      "integrity": "sha512-Flok06AYNp7GV2oJPZZcP9vZdszev6vPBkHLwxwSpaIqx75wn6mUd3UFWsSsA0l8nXAKkyCmL/sR02m8RYGeHg==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-template-literals/-/plugin-transform-template-literals-7.24.7.tgz",
+      "integrity": "sha512-AfDTQmClklHCOLxtGoP7HkeMw56k1/bTQjwsfhL6pppo/M4TOBSq+jjBUBLmV/4oeFg4GWMavIl44ZeCtmmZTw==",
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.22.5"
+        "@babel/helper-plugin-utils": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -1667,11 +1707,11 @@
       }
     },
     "node_modules/@babel/plugin-transform-typeof-symbol": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-typeof-symbol/-/plugin-transform-typeof-symbol-7.23.3.tgz",
-      "integrity": "sha512-4t15ViVnaFdrPC74be1gXBSMzXk3B4Us9lP7uLRQHTFpV5Dvt33pn+2MyyNxmN3VTTm3oTrZVMUmuw3oBnQ2oQ==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-typeof-symbol/-/plugin-transform-typeof-symbol-7.24.7.tgz",
+      "integrity": "sha512-VtR8hDy7YLB7+Pet9IarXjg/zgCMSF+1mNS/EQEiEaUPoFXCVsHG64SIxcaaI2zJgRiv+YmgaQESUfWAdbjzgg==",
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.22.5"
+        "@babel/helper-plugin-utils": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -1681,14 +1721,14 @@
       }
     },
     "node_modules/@babel/plugin-transform-typescript": {
-      "version": "7.23.6",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-typescript/-/plugin-transform-typescript-7.23.6.tgz",
-      "integrity": "sha512-6cBG5mBvUu4VUD04OHKnYzbuHNP8huDsD3EDqqpIpsswTDoqHCjLoHb6+QgsV1WsT2nipRqCPgxD3LXnEO7XfA==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-typescript/-/plugin-transform-typescript-7.24.7.tgz",
+      "integrity": "sha512-iLD3UNkgx2n/HrjBesVbYX6j0yqn/sJktvbtKKgcaLIQ4bTTQ8obAypc1VpyHPD2y4Phh9zHOaAt8e/L14wCpw==",
       "dependencies": {
-        "@babel/helper-annotate-as-pure": "^7.22.5",
-        "@babel/helper-create-class-features-plugin": "^7.23.6",
-        "@babel/helper-plugin-utils": "^7.22.5",
-        "@babel/plugin-syntax-typescript": "^7.23.3"
+        "@babel/helper-annotate-as-pure": "^7.24.7",
+        "@babel/helper-create-class-features-plugin": "^7.24.7",
+        "@babel/helper-plugin-utils": "^7.24.7",
+        "@babel/plugin-syntax-typescript": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -1698,11 +1738,11 @@
       }
     },
     "node_modules/@babel/plugin-transform-unicode-escapes": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-unicode-escapes/-/plugin-transform-unicode-escapes-7.23.3.tgz",
-      "integrity": "sha512-OMCUx/bU6ChE3r4+ZdylEqAjaQgHAgipgW8nsCfu5pGqDcFytVd91AwRvUJSBZDz0exPGgnjoqhgRYLRjFZc9Q==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-unicode-escapes/-/plugin-transform-unicode-escapes-7.24.7.tgz",
+      "integrity": "sha512-U3ap1gm5+4edc2Q/P+9VrBNhGkfnf+8ZqppY71Bo/pzZmXhhLdqgaUl6cuB07O1+AQJtCLfaOmswiNbSQ9ivhw==",
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.22.5"
+        "@babel/helper-plugin-utils": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -1712,12 +1752,12 @@
       }
     },
     "node_modules/@babel/plugin-transform-unicode-property-regex": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-unicode-property-regex/-/plugin-transform-unicode-property-regex-7.23.3.tgz",
-      "integrity": "sha512-KcLIm+pDZkWZQAFJ9pdfmh89EwVfmNovFBcXko8szpBeF8z68kWIPeKlmSOkT9BXJxs2C0uk+5LxoxIv62MROA==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-unicode-property-regex/-/plugin-transform-unicode-property-regex-7.24.7.tgz",
+      "integrity": "sha512-uH2O4OV5M9FZYQrwc7NdVmMxQJOCCzFeYudlZSzUAHRFeOujQefa92E74TQDVskNHCzOXoigEuoyzHDhaEaK5w==",
       "dependencies": {
-        "@babel/helper-create-regexp-features-plugin": "^7.22.15",
-        "@babel/helper-plugin-utils": "^7.22.5"
+        "@babel/helper-create-regexp-features-plugin": "^7.24.7",
+        "@babel/helper-plugin-utils": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -1727,12 +1767,12 @@
       }
     },
     "node_modules/@babel/plugin-transform-unicode-regex": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-unicode-regex/-/plugin-transform-unicode-regex-7.23.3.tgz",
-      "integrity": "sha512-wMHpNA4x2cIA32b/ci3AfwNgheiva2W0WUKWTK7vBHBhDKfPsc5cFGNWm69WBqpwd86u1qwZ9PWevKqm1A3yAw==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-unicode-regex/-/plugin-transform-unicode-regex-7.24.7.tgz",
+      "integrity": "sha512-hlQ96MBZSAXUq7ltkjtu3FJCCSMx/j629ns3hA3pXnBXjanNP0LHi+JpPeA81zaWgVK1VGH95Xuy7u0RyQ8kMg==",
       "dependencies": {
-        "@babel/helper-create-regexp-features-plugin": "^7.22.15",
-        "@babel/helper-plugin-utils": "^7.22.5"
+        "@babel/helper-create-regexp-features-plugin": "^7.24.7",
+        "@babel/helper-plugin-utils": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -1742,12 +1782,12 @@
       }
     },
     "node_modules/@babel/plugin-transform-unicode-sets-regex": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-unicode-sets-regex/-/plugin-transform-unicode-sets-regex-7.23.3.tgz",
-      "integrity": "sha512-W7lliA/v9bNR83Qc3q1ip9CQMZ09CcHDbHfbLRDNuAhn1Mvkr1ZNF7hPmztMQvtTGVLJ9m8IZqWsTkXOml8dbw==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-unicode-sets-regex/-/plugin-transform-unicode-sets-regex-7.24.7.tgz",
+      "integrity": "sha512-2G8aAvF4wy1w/AGZkemprdGMRg5o6zPNhbHVImRz3lss55TYCBd6xStN19rt8XJHq20sqV0JbyWjOWwQRwV/wg==",
       "dependencies": {
-        "@babel/helper-create-regexp-features-plugin": "^7.22.15",
-        "@babel/helper-plugin-utils": "^7.22.5"
+        "@babel/helper-create-regexp-features-plugin": "^7.24.7",
+        "@babel/helper-plugin-utils": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -1757,25 +1797,26 @@
       }
     },
     "node_modules/@babel/preset-env": {
-      "version": "7.23.6",
-      "resolved": "https://registry.npmjs.org/@babel/preset-env/-/preset-env-7.23.6.tgz",
-      "integrity": "sha512-2XPn/BqKkZCpzYhUUNZ1ssXw7DcXfKQEjv/uXZUXgaebCMYmkEsfZ2yY+vv+xtXv50WmL5SGhyB6/xsWxIvvOQ==",
-      "dependencies": {
-        "@babel/compat-data": "^7.23.5",
-        "@babel/helper-compilation-targets": "^7.23.6",
-        "@babel/helper-plugin-utils": "^7.22.5",
-        "@babel/helper-validator-option": "^7.23.5",
-        "@babel/plugin-bugfix-safari-id-destructuring-collision-in-function-expression": "^7.23.3",
-        "@babel/plugin-bugfix-v8-spread-parameters-in-optional-chaining": "^7.23.3",
-        "@babel/plugin-bugfix-v8-static-class-fields-redefine-readonly": "^7.23.3",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/preset-env/-/preset-env-7.24.7.tgz",
+      "integrity": "sha512-1YZNsc+y6cTvWlDHidMBsQZrZfEFjRIo/BZCT906PMdzOyXtSLTgqGdrpcuTDCXyd11Am5uQULtDIcCfnTc8fQ==",
+      "dependencies": {
+        "@babel/compat-data": "^7.24.7",
+        "@babel/helper-compilation-targets": "^7.24.7",
+        "@babel/helper-plugin-utils": "^7.24.7",
+        "@babel/helper-validator-option": "^7.24.7",
+        "@babel/plugin-bugfix-firefox-class-in-computed-class-key": "^7.24.7",
+        "@babel/plugin-bugfix-safari-id-destructuring-collision-in-function-expression": "^7.24.7",
+        "@babel/plugin-bugfix-v8-spread-parameters-in-optional-chaining": "^7.24.7",
+        "@babel/plugin-bugfix-v8-static-class-fields-redefine-readonly": "^7.24.7",
         "@babel/plugin-proposal-private-property-in-object": "7.21.0-placeholder-for-preset-env.2",
         "@babel/plugin-syntax-async-generators": "^7.8.4",
         "@babel/plugin-syntax-class-properties": "^7.12.13",
         "@babel/plugin-syntax-class-static-block": "^7.14.5",
         "@babel/plugin-syntax-dynamic-import": "^7.8.3",
         "@babel/plugin-syntax-export-namespace-from": "^7.8.3",
-        "@babel/plugin-syntax-import-assertions": "^7.23.3",
-        "@babel/plugin-syntax-import-attributes": "^7.23.3",
+        "@babel/plugin-syntax-import-assertions": "^7.24.7",
+        "@babel/plugin-syntax-import-attributes": "^7.24.7",
         "@babel/plugin-syntax-import-meta": "^7.10.4",
         "@babel/plugin-syntax-json-strings": "^7.8.3",
         "@babel/plugin-syntax-logical-assignment-operators": "^7.10.4",
@@ -1787,58 +1828,58 @@
         "@babel/plugin-syntax-private-property-in-object": "^7.14.5",
         "@babel/plugin-syntax-top-level-await": "^7.14.5",
         "@babel/plugin-syntax-unicode-sets-regex": "^7.18.6",
-        "@babel/plugin-transform-arrow-functions": "^7.23.3",
-        "@babel/plugin-transform-async-generator-functions": "^7.23.4",
-        "@babel/plugin-transform-async-to-generator": "^7.23.3",
-        "@babel/plugin-transform-block-scoped-functions": "^7.23.3",
-        "@babel/plugin-transform-block-scoping": "^7.23.4",
-        "@babel/plugin-transform-class-properties": "^7.23.3",
-        "@babel/plugin-transform-class-static-block": "^7.23.4",
-        "@babel/plugin-transform-classes": "^7.23.5",
-        "@babel/plugin-transform-computed-properties": "^7.23.3",
-        "@babel/plugin-transform-destructuring": "^7.23.3",
-        "@babel/plugin-transform-dotall-regex": "^7.23.3",
-        "@babel/plugin-transform-duplicate-keys": "^7.23.3",
-        "@babel/plugin-transform-dynamic-import": "^7.23.4",
-        "@babel/plugin-transform-exponentiation-operator": "^7.23.3",
-        "@babel/plugin-transform-export-namespace-from": "^7.23.4",
-        "@babel/plugin-transform-for-of": "^7.23.6",
-        "@babel/plugin-transform-function-name": "^7.23.3",
-        "@babel/plugin-transform-json-strings": "^7.23.4",
-        "@babel/plugin-transform-literals": "^7.23.3",
-        "@babel/plugin-transform-logical-assignment-operators": "^7.23.4",
-        "@babel/plugin-transform-member-expression-literals": "^7.23.3",
-        "@babel/plugin-transform-modules-amd": "^7.23.3",
-        "@babel/plugin-transform-modules-commonjs": "^7.23.3",
-        "@babel/plugin-transform-modules-systemjs": "^7.23.3",
-        "@babel/plugin-transform-modules-umd": "^7.23.3",
-        "@babel/plugin-transform-named-capturing-groups-regex": "^7.22.5",
-        "@babel/plugin-transform-new-target": "^7.23.3",
-        "@babel/plugin-transform-nullish-coalescing-operator": "^7.23.4",
-        "@babel/plugin-transform-numeric-separator": "^7.23.4",
-        "@babel/plugin-transform-object-rest-spread": "^7.23.4",
-        "@babel/plugin-transform-object-super": "^7.23.3",
-        "@babel/plugin-transform-optional-catch-binding": "^7.23.4",
-        "@babel/plugin-transform-optional-chaining": "^7.23.4",
-        "@babel/plugin-transform-parameters": "^7.23.3",
-        "@babel/plugin-transform-private-methods": "^7.23.3",
-        "@babel/plugin-transform-private-property-in-object": "^7.23.4",
-        "@babel/plugin-transform-property-literals": "^7.23.3",
-        "@babel/plugin-transform-regenerator": "^7.23.3",
-        "@babel/plugin-transform-reserved-words": "^7.23.3",
-        "@babel/plugin-transform-shorthand-properties": "^7.23.3",
-        "@babel/plugin-transform-spread": "^7.23.3",
-        "@babel/plugin-transform-sticky-regex": "^7.23.3",
-        "@babel/plugin-transform-template-literals": "^7.23.3",
-        "@babel/plugin-transform-typeof-symbol": "^7.23.3",
-        "@babel/plugin-transform-unicode-escapes": "^7.23.3",
-        "@babel/plugin-transform-unicode-property-regex": "^7.23.3",
-        "@babel/plugin-transform-unicode-regex": "^7.23.3",
-        "@babel/plugin-transform-unicode-sets-regex": "^7.23.3",
+        "@babel/plugin-transform-arrow-functions": "^7.24.7",
+        "@babel/plugin-transform-async-generator-functions": "^7.24.7",
+        "@babel/plugin-transform-async-to-generator": "^7.24.7",
+        "@babel/plugin-transform-block-scoped-functions": "^7.24.7",
+        "@babel/plugin-transform-block-scoping": "^7.24.7",
+        "@babel/plugin-transform-class-properties": "^7.24.7",
+        "@babel/plugin-transform-class-static-block": "^7.24.7",
+        "@babel/plugin-transform-classes": "^7.24.7",
+        "@babel/plugin-transform-computed-properties": "^7.24.7",
+        "@babel/plugin-transform-destructuring": "^7.24.7",
+        "@babel/plugin-transform-dotall-regex": "^7.24.7",
+        "@babel/plugin-transform-duplicate-keys": "^7.24.7",
+        "@babel/plugin-transform-dynamic-import": "^7.24.7",
+        "@babel/plugin-transform-exponentiation-operator": "^7.24.7",
+        "@babel/plugin-transform-export-namespace-from": "^7.24.7",
+        "@babel/plugin-transform-for-of": "^7.24.7",
+        "@babel/plugin-transform-function-name": "^7.24.7",
+        "@babel/plugin-transform-json-strings": "^7.24.7",
+        "@babel/plugin-transform-literals": "^7.24.7",
+        "@babel/plugin-transform-logical-assignment-operators": "^7.24.7",
+        "@babel/plugin-transform-member-expression-literals": "^7.24.7",
+        "@babel/plugin-transform-modules-amd": "^7.24.7",
+        "@babel/plugin-transform-modules-commonjs": "^7.24.7",
+        "@babel/plugin-transform-modules-systemjs": "^7.24.7",
+        "@babel/plugin-transform-modules-umd": "^7.24.7",
+        "@babel/plugin-transform-named-capturing-groups-regex": "^7.24.7",
+        "@babel/plugin-transform-new-target": "^7.24.7",
+        "@babel/plugin-transform-nullish-coalescing-operator": "^7.24.7",
+        "@babel/plugin-transform-numeric-separator": "^7.24.7",
+        "@babel/plugin-transform-object-rest-spread": "^7.24.7",
+        "@babel/plugin-transform-object-super": "^7.24.7",
+        "@babel/plugin-transform-optional-catch-binding": "^7.24.7",
+        "@babel/plugin-transform-optional-chaining": "^7.24.7",
+        "@babel/plugin-transform-parameters": "^7.24.7",
+        "@babel/plugin-transform-private-methods": "^7.24.7",
+        "@babel/plugin-transform-private-property-in-object": "^7.24.7",
+        "@babel/plugin-transform-property-literals": "^7.24.7",
+        "@babel/plugin-transform-regenerator": "^7.24.7",
+        "@babel/plugin-transform-reserved-words": "^7.24.7",
+        "@babel/plugin-transform-shorthand-properties": "^7.24.7",
+        "@babel/plugin-transform-spread": "^7.24.7",
+        "@babel/plugin-transform-sticky-regex": "^7.24.7",
+        "@babel/plugin-transform-template-literals": "^7.24.7",
+        "@babel/plugin-transform-typeof-symbol": "^7.24.7",
+        "@babel/plugin-transform-unicode-escapes": "^7.24.7",
+        "@babel/plugin-transform-unicode-property-regex": "^7.24.7",
+        "@babel/plugin-transform-unicode-regex": "^7.24.7",
+        "@babel/plugin-transform-unicode-sets-regex": "^7.24.7",
         "@babel/preset-modules": "0.1.6-no-external-plugins",
-        "babel-plugin-polyfill-corejs2": "^0.4.6",
-        "babel-plugin-polyfill-corejs3": "^0.8.5",
-        "babel-plugin-polyfill-regenerator": "^0.5.3",
+        "babel-plugin-polyfill-corejs2": "^0.4.10",
+        "babel-plugin-polyfill-corejs3": "^0.10.4",
+        "babel-plugin-polyfill-regenerator": "^0.6.1",
         "core-js-compat": "^3.31.0",
         "semver": "^6.3.1"
       },
@@ -1863,16 +1904,16 @@
       }
     },
     "node_modules/@babel/preset-react": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/preset-react/-/preset-react-7.23.3.tgz",
-      "integrity": "sha512-tbkHOS9axH6Ysf2OUEqoSZ6T3Fa2SrNH6WTWSPBboxKzdxNc9qOICeLXkNG0ZEwbQ1HY8liwOce4aN/Ceyuq6w==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/preset-react/-/preset-react-7.24.7.tgz",
+      "integrity": "sha512-AAH4lEkpmzFWrGVlHaxJB7RLH21uPQ9+He+eFLWHmF9IuFQVugz8eAsamaW0DXRrTfco5zj1wWtpdcXJUOfsag==",
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.22.5",
-        "@babel/helper-validator-option": "^7.22.15",
-        "@babel/plugin-transform-react-display-name": "^7.23.3",
-        "@babel/plugin-transform-react-jsx": "^7.22.15",
-        "@babel/plugin-transform-react-jsx-development": "^7.22.5",
-        "@babel/plugin-transform-react-pure-annotations": "^7.23.3"
+        "@babel/helper-plugin-utils": "^7.24.7",
+        "@babel/helper-validator-option": "^7.24.7",
+        "@babel/plugin-transform-react-display-name": "^7.24.7",
+        "@babel/plugin-transform-react-jsx": "^7.24.7",
+        "@babel/plugin-transform-react-jsx-development": "^7.24.7",
+        "@babel/plugin-transform-react-pure-annotations": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -1882,15 +1923,15 @@
       }
     },
     "node_modules/@babel/preset-typescript": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/preset-typescript/-/preset-typescript-7.23.3.tgz",
-      "integrity": "sha512-17oIGVlqz6CchO9RFYn5U6ZpWRZIngayYCtrPRSgANSwC2V1Jb+iP74nVxzzXJte8b8BYxrL1yY96xfhTBrNNQ==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/preset-typescript/-/preset-typescript-7.24.7.tgz",
+      "integrity": "sha512-SyXRe3OdWwIwalxDg5UtJnJQO+YPcTfwiIY2B0Xlddh9o7jpWLvv8X1RthIeDOxQ+O1ML5BLPCONToObyVQVuQ==",
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.22.5",
-        "@babel/helper-validator-option": "^7.22.15",
-        "@babel/plugin-syntax-jsx": "^7.23.3",
-        "@babel/plugin-transform-modules-commonjs": "^7.23.3",
-        "@babel/plugin-transform-typescript": "^7.23.3"
+        "@babel/helper-plugin-utils": "^7.24.7",
+        "@babel/helper-validator-option": "^7.24.7",
+        "@babel/plugin-syntax-jsx": "^7.24.7",
+        "@babel/plugin-transform-modules-commonjs": "^7.24.7",
+        "@babel/plugin-transform-typescript": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -1905,9 +1946,9 @@
       "integrity": "sha512-x/rqGMdzj+fWZvCOYForTghzbtqPDZ5gPwaoNGHdgDfF2QA/XZbCBp4Moo5scrkAMPhB7z26XM/AaHuIJdgauA=="
     },
     "node_modules/@babel/runtime": {
-      "version": "7.23.6",
-      "resolved": "https://registry.npmjs.org/@babel/runtime/-/runtime-7.23.6.tgz",
-      "integrity": "sha512-zHd0eUrf5GZoOWVCXp6koAKQTfZV07eit6bGPmJgnZdnSAvvZee6zniW2XMF7Cmc4ISOOnPy3QaSiIJGJkVEDQ==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/runtime/-/runtime-7.24.7.tgz",
+      "integrity": "sha512-UwgBRMjJP+xv857DCngvqXI3Iq6J4v0wXmwc6sapg+zyhbwmQX67LUEFrkK5tbyJ30jGuG3ZvWpBiB9LCy1kWw==",
       "dependencies": {
         "regenerator-runtime": "^0.14.0"
       },
@@ -1916,9 +1957,9 @@
       }
     },
     "node_modules/@babel/runtime-corejs3": {
-      "version": "7.23.6",
-      "resolved": "https://registry.npmjs.org/@babel/runtime-corejs3/-/runtime-corejs3-7.23.6.tgz",
-      "integrity": "sha512-Djs/ZTAnpyj0nyg7p1J6oiE/tZ9G2stqAFlLGZynrW+F3k2w2jGK2mLOBxzYIOcZYA89+c3d3wXKpYLcpwcU6w==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/runtime-corejs3/-/runtime-corejs3-7.24.7.tgz",
+      "integrity": "sha512-eytSX6JLBY6PVAeQa2bFlDx/7Mmln/gaEpsit5a3WEvjGfiIytEsgAwuIXCPM0xvw0v0cJn3ilq0/TvXrW0kgA==",
       "dependencies": {
         "core-js-pure": "^3.30.2",
         "regenerator-runtime": "^0.14.0"
@@ -1928,31 +1969,31 @@
       }
     },
     "node_modules/@babel/template": {
-      "version": "7.22.15",
-      "resolved": "https://registry.npmjs.org/@babel/template/-/template-7.22.15.tgz",
-      "integrity": "sha512-QPErUVm4uyJa60rkI73qneDacvdvzxshT3kksGqlGWYdOTIUOwJ7RDUL8sGqslY1uXWSL6xMFKEXDS3ox2uF0w==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/template/-/template-7.24.7.tgz",
+      "integrity": "sha512-jYqfPrU9JTF0PmPy1tLYHW4Mp4KlgxJD9l2nP9fD6yT/ICi554DmrWBAEYpIelzjHf1msDP3PxJIRt/nFNfBig==",
       "dependencies": {
-        "@babel/code-frame": "^7.22.13",
-        "@babel/parser": "^7.22.15",
-        "@babel/types": "^7.22.15"
+        "@babel/code-frame": "^7.24.7",
+        "@babel/parser": "^7.24.7",
+        "@babel/types": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/traverse": {
-      "version": "7.23.6",
-      "resolved": "https://registry.npmjs.org/@babel/traverse/-/traverse-7.23.6.tgz",
-      "integrity": "sha512-czastdK1e8YByZqezMPFiZ8ahwVMh/ESl9vPgvgdB9AmFMGP5jfpFax74AQgl5zj4XHzqeYAg2l8PuUeRS1MgQ==",
-      "dependencies": {
-        "@babel/code-frame": "^7.23.5",
-        "@babel/generator": "^7.23.6",
-        "@babel/helper-environment-visitor": "^7.22.20",
-        "@babel/helper-function-name": "^7.23.0",
-        "@babel/helper-hoist-variables": "^7.22.5",
-        "@babel/helper-split-export-declaration": "^7.22.6",
-        "@babel/parser": "^7.23.6",
-        "@babel/types": "^7.23.6",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/traverse/-/traverse-7.24.7.tgz",
+      "integrity": "sha512-yb65Ed5S/QAcewNPh0nZczy9JdYXkkAbIsEo+P7BE7yO3txAY30Y/oPa3QkQ5It3xVG2kpKMg9MsdxZaO31uKA==",
+      "dependencies": {
+        "@babel/code-frame": "^7.24.7",
+        "@babel/generator": "^7.24.7",
+        "@babel/helper-environment-visitor": "^7.24.7",
+        "@babel/helper-function-name": "^7.24.7",
+        "@babel/helper-hoist-variables": "^7.24.7",
+        "@babel/helper-split-export-declaration": "^7.24.7",
+        "@babel/parser": "^7.24.7",
+        "@babel/types": "^7.24.7",
         "debug": "^4.3.1",
         "globals": "^11.1.0"
       },
@@ -1961,12 +2002,12 @@
       }
     },
     "node_modules/@babel/types": {
-      "version": "7.23.6",
-      "resolved": "https://registry.npmjs.org/@babel/types/-/types-7.23.6.tgz",
-      "integrity": "sha512-+uarb83brBzPKN38NX1MkB6vb6+mwvR6amUulqAE7ccQw1pEl+bCia9TbdG1lsnFP7lZySvUn37CHyXQdfTwzg==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/types/-/types-7.24.7.tgz",
+      "integrity": "sha512-XEFXSlxiG5td2EJRe8vOmRbaXVgfcBlszKujvVmWIK/UpywWljQCfzAv3RQCGujWQ1RD4YYWEAqDXfuJiy8f5Q==",
       "dependencies": {
-        "@babel/helper-string-parser": "^7.23.4",
-        "@babel/helper-validator-identifier": "^7.22.20",
+        "@babel/helper-string-parser": "^7.24.7",
+        "@babel/helper-validator-identifier": "^7.24.7",
         "to-fast-properties": "^2.0.0"
       },
       "engines": {
@@ -2034,18 +2075,18 @@
       }
     },
     "node_modules/@docsearch/css": {
-      "version": "3.5.2",
-      "resolved": "https://registry.npmjs.org/@docsearch/css/-/css-3.5.2.tgz",
-      "integrity": "sha512-SPiDHaWKQZpwR2siD0KQUwlStvIAnEyK6tAE2h2Wuoq8ue9skzhlyVQ1ddzOxX6khULnAALDiR/isSF3bnuciA=="
+      "version": "3.6.0",
+      "resolved": "https://registry.npmjs.org/@docsearch/css/-/css-3.6.0.tgz",
+      "integrity": "sha512-+sbxb71sWre+PwDK7X2T8+bhS6clcVMLwBPznX45Qu6opJcgRjAp7gYSDzVFp187J+feSj5dNBN1mJoi6ckkUQ=="
     },
     "node_modules/@docsearch/react": {
-      "version": "3.5.2",
-      "resolved": "https://registry.npmjs.org/@docsearch/react/-/react-3.5.2.tgz",
-      "integrity": "sha512-9Ahcrs5z2jq/DcAvYtvlqEBHImbm4YJI8M9y0x6Tqg598P40HTEkX7hsMcIuThI+hTFxRGZ9hll0Wygm2yEjng==",
+      "version": "3.6.0",
+      "resolved": "https://registry.npmjs.org/@docsearch/react/-/react-3.6.0.tgz",
+      "integrity": "sha512-HUFut4ztcVNmqy9gp/wxNbC7pTOHhgVVkHVGCACTuLhUKUhKAF9KYHJtMiLUJxEqiFLQiuri1fWF8zqwM/cu1w==",
       "dependencies": {
         "@algolia/autocomplete-core": "1.9.3",
         "@algolia/autocomplete-preset-algolia": "1.9.3",
-        "@docsearch/css": "3.5.2",
+        "@docsearch/css": "3.6.0",
         "algoliasearch": "^4.19.1"
       },
       "peerDependencies": {
@@ -2070,9 +2111,9 @@
       }
     },
     "node_modules/@docusaurus/core": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/@docusaurus/core/-/core-3.0.1.tgz",
-      "integrity": "sha512-CXrLpOnW+dJdSv8M5FAJ3JBwXtL6mhUWxFA8aS0ozK6jBG/wgxERk5uvH28fCeFxOGbAT9v1e9dOMo1X2IEVhQ==",
+      "version": "3.4.0",
+      "resolved": "https://registry.npmjs.org/@docusaurus/core/-/core-3.4.0.tgz",
+      "integrity": "sha512-g+0wwmN2UJsBqy2fQRQ6fhXruoEa62JDeEa5d8IdTJlMoaDaEDfHh7WjwGRn4opuTQWpjAwP/fbcgyHKlE+64w==",
       "dependencies": {
         "@babel/core": "^7.23.3",
         "@babel/generator": "^7.23.3",
@@ -2084,15 +2125,12 @@
         "@babel/runtime": "^7.22.6",
         "@babel/runtime-corejs3": "^7.22.6",
         "@babel/traverse": "^7.22.8",
-        "@docusaurus/cssnano-preset": "3.0.1",
-        "@docusaurus/logger": "3.0.1",
-        "@docusaurus/mdx-loader": "3.0.1",
-        "@docusaurus/react-loadable": "5.5.2",
-        "@docusaurus/utils": "3.0.1",
-        "@docusaurus/utils-common": "3.0.1",
-        "@docusaurus/utils-validation": "3.0.1",
-        "@slorber/static-site-generator-webpack-plugin": "^4.0.7",
-        "@svgr/webpack": "^6.5.1",
+        "@docusaurus/cssnano-preset": "3.4.0",
+        "@docusaurus/logger": "3.4.0",
+        "@docusaurus/mdx-loader": "3.4.0",
+        "@docusaurus/utils": "3.4.0",
+        "@docusaurus/utils-common": "3.4.0",
+        "@docusaurus/utils-validation": "3.4.0",
         "autoprefixer": "^10.4.14",
         "babel-loader": "^9.1.3",
         "babel-plugin-dynamic-import-node": "^2.3.3",
@@ -2106,12 +2144,13 @@
         "copy-webpack-plugin": "^11.0.0",
         "core-js": "^3.31.1",
         "css-loader": "^6.8.1",
-        "css-minimizer-webpack-plugin": "^4.2.2",
-        "cssnano": "^5.1.15",
+        "css-minimizer-webpack-plugin": "^5.0.1",
+        "cssnano": "^6.1.2",
         "del": "^6.1.1",
         "detect-port": "^1.5.1",
         "escape-html": "^1.0.3",
         "eta": "^2.2.0",
+        "eval": "^0.1.8",
         "file-loader": "^6.2.0",
         "fs-extra": "^11.1.1",
         "html-minifier-terser": "^7.2.0",
@@ -2120,12 +2159,13 @@
         "leven": "^3.1.0",
         "lodash": "^4.17.21",
         "mini-css-extract-plugin": "^2.7.6",
+        "p-map": "^4.0.0",
         "postcss": "^8.4.26",
         "postcss-loader": "^7.3.3",
         "prompts": "^2.4.2",
         "react-dev-utils": "^12.0.1",
         "react-helmet-async": "^1.3.0",
-        "react-loadable": "npm:@docusaurus/react-loadable@5.5.2",
+        "react-loadable": "npm:@docusaurus/react-loadable@6.0.0",
         "react-loadable-ssr-addon-v5-slorber": "^1.0.1",
         "react-router": "^5.3.4",
         "react-router-config": "^5.1.1",
@@ -2208,24 +2248,10 @@
         "node": ">=8"
       }
     },
-    "node_modules/@docusaurus/core/node_modules/lru-cache": {
-      "version": "6.0.0",
-      "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-6.0.0.tgz",
-      "integrity": "sha512-Jo6dJ04CmSjuznwJSS3pUeWmd/H0ffTlkXXgwZi+eq1UCmqQwCh+eLsYOYCwY991i2Fah4h1BEMCx4qThGbsiA==",
-      "dependencies": {
-        "yallist": "^4.0.0"
-      },
-      "engines": {
-        "node": ">=10"
-      }
-    },
     "node_modules/@docusaurus/core/node_modules/semver": {
-      "version": "7.5.4",
-      "resolved": "https://registry.npmjs.org/semver/-/semver-7.5.4.tgz",
-      "integrity": "sha512-1bCSESV6Pv+i21Hvpxp3Dx+pSD8lIPt8uVjRrxAUt/nbswYc+tK6Y2btiULjd4+fnq15PX+nqQDC7Oft7WkwcA==",
-      "dependencies": {
-        "lru-cache": "^6.0.0"
-      },
+      "version": "7.6.2",
+      "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.2.tgz",
+      "integrity": "sha512-FNAIBWCx9qcRhoHcgcJ0gvU7SN1lYU2ZXuSfl04bSC5OpvDHFyJCjdNHomPXxjQlCBU67YW64PzY7/VIEH7F2w==",
       "bin": {
         "semver": "bin/semver.js"
       },
@@ -2244,19 +2270,14 @@
         "node": ">=8"
       }
     },
-    "node_modules/@docusaurus/core/node_modules/yallist": {
-      "version": "4.0.0",
-      "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz",
-      "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A=="
-    },
     "node_modules/@docusaurus/cssnano-preset": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/@docusaurus/cssnano-preset/-/cssnano-preset-3.0.1.tgz",
-      "integrity": "sha512-wjuXzkHMW+ig4BD6Ya1Yevx9UJadO4smNZCEljqBoQfIQrQskTswBs7lZ8InHP7mCt273a/y/rm36EZhqJhknQ==",
+      "version": "3.4.0",
+      "resolved": "https://registry.npmjs.org/@docusaurus/cssnano-preset/-/cssnano-preset-3.4.0.tgz",
+      "integrity": "sha512-qwLFSz6v/pZHy/UP32IrprmH5ORce86BGtN0eBtG75PpzQJAzp9gefspox+s8IEOr0oZKuQ/nhzZ3xwyc3jYJQ==",
       "dependencies": {
-        "cssnano-preset-advanced": "^5.3.10",
-        "postcss": "^8.4.26",
-        "postcss-sort-media-queries": "^4.4.1",
+        "cssnano-preset-advanced": "^6.1.2",
+        "postcss": "^8.4.38",
+        "postcss-sort-media-queries": "^5.2.0",
         "tslib": "^2.6.0"
       },
       "engines": {
@@ -2264,9 +2285,9 @@
       }
     },
     "node_modules/@docusaurus/logger": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/@docusaurus/logger/-/logger-3.0.1.tgz",
-      "integrity": "sha512-I5L6Nk8OJzkVA91O2uftmo71LBSxe1vmOn9AMR6JRCzYeEBrqneWMH02AqMvjJ2NpMiviO+t0CyPjyYV7nxCWQ==",
+      "version": "3.4.0",
+      "resolved": "https://registry.npmjs.org/@docusaurus/logger/-/logger-3.4.0.tgz",
+      "integrity": "sha512-bZwkX+9SJ8lB9kVRkXw+xvHYSMGG4bpYHKGXeXFvyVc79NMeeBSGgzd4TQLHH+DYeOJoCdl8flrFJVxlZ0wo/Q==",
       "dependencies": {
         "chalk": "^4.1.2",
         "tslib": "^2.6.0"
@@ -2340,11 +2361,11 @@
       }
     },
     "node_modules/@docusaurus/lqip-loader": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/@docusaurus/lqip-loader/-/lqip-loader-3.0.1.tgz",
-      "integrity": "sha512-hFSu8ltYo0ZnWBWmjMhSprOr6nNKG01YdMDxH/hahBfyaNDCkZU4o7mQNgUW845lvYdp6bhjyW31WJwBjOnLqw==",
+      "version": "3.4.0",
+      "resolved": "https://registry.npmjs.org/@docusaurus/lqip-loader/-/lqip-loader-3.4.0.tgz",
+      "integrity": "sha512-F//Gjqcz925zLL1l3Y3XOtQvn927GBIr9ZouvzWF4jHNKuuHBqzOPSADF5O/cT3Vq1ucPWooyhPBxYcvSGF4SA==",
       "dependencies": {
-        "@docusaurus/logger": "3.0.1",
+        "@docusaurus/logger": "3.4.0",
         "file-loader": "^6.2.0",
         "lodash": "^4.17.21",
         "sharp": "^0.32.3",
@@ -2355,15 +2376,13 @@
       }
     },
     "node_modules/@docusaurus/mdx-loader": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/@docusaurus/mdx-loader/-/mdx-loader-3.0.1.tgz",
-      "integrity": "sha512-ldnTmvnvlrONUq45oKESrpy+lXtbnTcTsFkOTIDswe5xx5iWJjt6eSa0f99ZaWlnm24mlojcIGoUWNCS53qVlQ==",
+      "version": "3.4.0",
+      "resolved": "https://registry.npmjs.org/@docusaurus/mdx-loader/-/mdx-loader-3.4.0.tgz",
+      "integrity": "sha512-kSSbrrk4nTjf4d+wtBA9H+FGauf2gCax89kV8SUSJu3qaTdSIKdWERlngsiHaCFgZ7laTJ8a67UFf+xlFPtuTw==",
       "dependencies": {
-        "@babel/parser": "^7.22.7",
-        "@babel/traverse": "^7.22.8",
-        "@docusaurus/logger": "3.0.1",
-        "@docusaurus/utils": "3.0.1",
-        "@docusaurus/utils-validation": "3.0.1",
+        "@docusaurus/logger": "3.4.0",
+        "@docusaurus/utils": "3.4.0",
+        "@docusaurus/utils-validation": "3.4.0",
         "@mdx-js/mdx": "^3.0.0",
         "@slorber/remark-comment": "^1.0.0",
         "escape-html": "^1.0.3",
@@ -2395,57 +2414,35 @@
       }
     },
     "node_modules/@docusaurus/module-type-aliases": {
-      "version": "2.4.1",
-      "resolved": "https://registry.npmjs.org/@docusaurus/module-type-aliases/-/module-type-aliases-2.4.1.tgz",
-      "integrity": "sha512-gLBuIFM8Dp2XOCWffUDSjtxY7jQgKvYujt7Mx5s4FCTfoL5dN1EVbnrn+O2Wvh8b0a77D57qoIDY7ghgmatR1A==",
-      "dev": true,
+      "version": "3.4.0",
+      "resolved": "https://registry.npmjs.org/@docusaurus/module-type-aliases/-/module-type-aliases-3.4.0.tgz",
+      "integrity": "sha512-A1AyS8WF5Bkjnb8s+guTDuYmUiwJzNrtchebBHpc0gz0PyHJNMaybUlSrmJjHVcGrya0LKI4YcR3lBDQfXRYLw==",
       "dependencies": {
-        "@docusaurus/react-loadable": "5.5.2",
-        "@docusaurus/types": "2.4.1",
+        "@docusaurus/types": "3.4.0",
         "@types/history": "^4.7.11",
         "@types/react": "*",
         "@types/react-router-config": "*",
         "@types/react-router-dom": "*",
         "react-helmet-async": "*",
-        "react-loadable": "npm:@docusaurus/react-loadable@5.5.2"
+        "react-loadable": "npm:@docusaurus/react-loadable@6.0.0"
       },
       "peerDependencies": {
         "react": "*",
         "react-dom": "*"
       }
     },
-    "node_modules/@docusaurus/module-type-aliases/node_modules/@docusaurus/types": {
-      "version": "2.4.1",
-      "resolved": "https://registry.npmjs.org/@docusaurus/types/-/types-2.4.1.tgz",
-      "integrity": "sha512-0R+cbhpMkhbRXX138UOc/2XZFF8hiZa6ooZAEEJFp5scytzCw4tC1gChMFXrpa3d2tYE6AX8IrOEpSonLmfQuQ==",
-      "dev": true,
-      "dependencies": {
-        "@types/history": "^4.7.11",
-        "@types/react": "*",
-        "commander": "^5.1.0",
-        "joi": "^17.6.0",
-        "react-helmet-async": "^1.3.0",
-        "utility-types": "^3.10.0",
-        "webpack": "^5.73.0",
-        "webpack-merge": "^5.8.0"
-      },
-      "peerDependencies": {
-        "react": "^16.8.4 || ^17.0.0",
-        "react-dom": "^16.8.4 || ^17.0.0"
-      }
-    },
     "node_modules/@docusaurus/plugin-content-blog": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/@docusaurus/plugin-content-blog/-/plugin-content-blog-3.0.1.tgz",
-      "integrity": "sha512-cLOvtvAyaMQFLI8vm4j26svg3ktxMPSXpuUJ7EERKoGbfpJSsgtowNHcRsaBVmfuCsRSk1HZ/yHBsUkTmHFEsg==",
-      "dependencies": {
-        "@docusaurus/core": "3.0.1",
-        "@docusaurus/logger": "3.0.1",
-        "@docusaurus/mdx-loader": "3.0.1",
-        "@docusaurus/types": "3.0.1",
-        "@docusaurus/utils": "3.0.1",
-        "@docusaurus/utils-common": "3.0.1",
-        "@docusaurus/utils-validation": "3.0.1",
+      "version": "3.4.0",
+      "resolved": "https://registry.npmjs.org/@docusaurus/plugin-content-blog/-/plugin-content-blog-3.4.0.tgz",
+      "integrity": "sha512-vv6ZAj78ibR5Jh7XBUT4ndIjmlAxkijM3Sx5MAAzC1gyv0vupDQNhzuFg1USQmQVj3P5I6bquk12etPV3LJ+Xw==",
+      "dependencies": {
+        "@docusaurus/core": "3.4.0",
+        "@docusaurus/logger": "3.4.0",
+        "@docusaurus/mdx-loader": "3.4.0",
+        "@docusaurus/types": "3.4.0",
+        "@docusaurus/utils": "3.4.0",
+        "@docusaurus/utils-common": "3.4.0",
+        "@docusaurus/utils-validation": "3.4.0",
         "cheerio": "^1.0.0-rc.12",
         "feed": "^4.2.2",
         "fs-extra": "^11.1.1",
@@ -2466,17 +2463,18 @@
       }
     },
     "node_modules/@docusaurus/plugin-content-docs": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/@docusaurus/plugin-content-docs/-/plugin-content-docs-3.0.1.tgz",
-      "integrity": "sha512-dRfAOA5Ivo+sdzzJGXEu33yAtvGg8dlZkvt/NEJ7nwi1F2j4LEdsxtfX2GKeETB2fP6XoGNSQnFXqa2NYGrHFg==",
-      "dependencies": {
-        "@docusaurus/core": "3.0.1",
-        "@docusaurus/logger": "3.0.1",
-        "@docusaurus/mdx-loader": "3.0.1",
-        "@docusaurus/module-type-aliases": "3.0.1",
-        "@docusaurus/types": "3.0.1",
-        "@docusaurus/utils": "3.0.1",
-        "@docusaurus/utils-validation": "3.0.1",
+      "version": "3.4.0",
+      "resolved": "https://registry.npmjs.org/@docusaurus/plugin-content-docs/-/plugin-content-docs-3.4.0.tgz",
+      "integrity": "sha512-HkUCZffhBo7ocYheD9oZvMcDloRnGhBMOZRyVcAQRFmZPmNqSyISlXA1tQCIxW+r478fty97XXAGjNYzBjpCsg==",
+      "dependencies": {
+        "@docusaurus/core": "3.4.0",
+        "@docusaurus/logger": "3.4.0",
+        "@docusaurus/mdx-loader": "3.4.0",
+        "@docusaurus/module-type-aliases": "3.4.0",
+        "@docusaurus/types": "3.4.0",
+        "@docusaurus/utils": "3.4.0",
+        "@docusaurus/utils-common": "3.4.0",
+        "@docusaurus/utils-validation": "3.4.0",
         "@types/react-router-config": "^5.0.7",
         "combine-promises": "^1.1.0",
         "fs-extra": "^11.1.1",
@@ -2494,35 +2492,16 @@
         "react-dom": "^18.0.0"
       }
     },
-    "node_modules/@docusaurus/plugin-content-docs/node_modules/@docusaurus/module-type-aliases": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/@docusaurus/module-type-aliases/-/module-type-aliases-3.0.1.tgz",
-      "integrity": "sha512-DEHpeqUDsLynl3AhQQiO7AbC7/z/lBra34jTcdYuvp9eGm01pfH1wTVq8YqWZq6Jyx0BgcVl/VJqtE9StRd9Ag==",
-      "dependencies": {
-        "@docusaurus/react-loadable": "5.5.2",
-        "@docusaurus/types": "3.0.1",
-        "@types/history": "^4.7.11",
-        "@types/react": "*",
-        "@types/react-router-config": "*",
-        "@types/react-router-dom": "*",
-        "react-helmet-async": "*",
-        "react-loadable": "npm:@docusaurus/react-loadable@5.5.2"
-      },
-      "peerDependencies": {
-        "react": "*",
-        "react-dom": "*"
-      }
-    },
     "node_modules/@docusaurus/plugin-content-pages": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/@docusaurus/plugin-content-pages/-/plugin-content-pages-3.0.1.tgz",
-      "integrity": "sha512-oP7PoYizKAXyEttcvVzfX3OoBIXEmXTMzCdfmC4oSwjG4SPcJsRge3mmI6O8jcZBgUPjIzXD21bVGWEE1iu8gg==",
-      "dependencies": {
-        "@docusaurus/core": "3.0.1",
-        "@docusaurus/mdx-loader": "3.0.1",
-        "@docusaurus/types": "3.0.1",
-        "@docusaurus/utils": "3.0.1",
-        "@docusaurus/utils-validation": "3.0.1",
+      "version": "3.4.0",
+      "resolved": "https://registry.npmjs.org/@docusaurus/plugin-content-pages/-/plugin-content-pages-3.4.0.tgz",
+      "integrity": "sha512-h2+VN/0JjpR8fIkDEAoadNjfR3oLzB+v1qSXbIAKjQ46JAHx3X22n9nqS+BWSQnTnp1AjkjSvZyJMekmcwxzxg==",
+      "dependencies": {
+        "@docusaurus/core": "3.4.0",
+        "@docusaurus/mdx-loader": "3.4.0",
+        "@docusaurus/types": "3.4.0",
+        "@docusaurus/utils": "3.4.0",
+        "@docusaurus/utils-validation": "3.4.0",
         "fs-extra": "^11.1.1",
         "tslib": "^2.6.0",
         "webpack": "^5.88.1"
@@ -2536,13 +2515,13 @@
       }
     },
     "node_modules/@docusaurus/plugin-debug": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/@docusaurus/plugin-debug/-/plugin-debug-3.0.1.tgz",
-      "integrity": "sha512-09dxZMdATky4qdsZGzhzlUvvC+ilQ2hKbYF+wez+cM2mGo4qHbv8+qKXqxq0CQZyimwlAOWQLoSozIXU0g0i7g==",
+      "version": "3.4.0",
+      "resolved": "https://registry.npmjs.org/@docusaurus/plugin-debug/-/plugin-debug-3.4.0.tgz",
+      "integrity": "sha512-uV7FDUNXGyDSD3PwUaf5YijX91T5/H9SX4ErEcshzwgzWwBtK37nUWPU3ZLJfeTavX3fycTOqk9TglpOLaWkCg==",
       "dependencies": {
-        "@docusaurus/core": "3.0.1",
-        "@docusaurus/types": "3.0.1",
-        "@docusaurus/utils": "3.0.1",
+        "@docusaurus/core": "3.4.0",
+        "@docusaurus/types": "3.4.0",
+        "@docusaurus/utils": "3.4.0",
         "fs-extra": "^11.1.1",
         "react-json-view-lite": "^1.2.0",
         "tslib": "^2.6.0"
@@ -2556,13 +2535,13 @@
       }
     },
     "node_modules/@docusaurus/plugin-google-analytics": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/@docusaurus/plugin-google-analytics/-/plugin-google-analytics-3.0.1.tgz",
-      "integrity": "sha512-jwseSz1E+g9rXQwDdr0ZdYNjn8leZBnKPjjQhMBEiwDoenL3JYFcNW0+p0sWoVF/f2z5t7HkKA+cYObrUh18gg==",
+      "version": "3.4.0",
+      "resolved": "https://registry.npmjs.org/@docusaurus/plugin-google-analytics/-/plugin-google-analytics-3.4.0.tgz",
+      "integrity": "sha512-mCArluxEGi3cmYHqsgpGGt3IyLCrFBxPsxNZ56Mpur0xSlInnIHoeLDH7FvVVcPJRPSQ9/MfRqLsainRw+BojA==",
       "dependencies": {
-        "@docusaurus/core": "3.0.1",
-        "@docusaurus/types": "3.0.1",
-        "@docusaurus/utils-validation": "3.0.1",
+        "@docusaurus/core": "3.4.0",
+        "@docusaurus/types": "3.4.0",
+        "@docusaurus/utils-validation": "3.4.0",
         "tslib": "^2.6.0"
       },
       "engines": {
@@ -2574,13 +2553,13 @@
       }
     },
     "node_modules/@docusaurus/plugin-google-gtag": {
-      "version": "3.2.0",
-      "resolved": "https://registry.npmjs.org/@docusaurus/plugin-google-gtag/-/plugin-google-gtag-3.2.0.tgz",
-      "integrity": "sha512-3s6zxlaMMb87MW2Rxy6EnSRDs0WDEQPuHilZZH402C8kOrUnIwlhlfjWZ4ZyLDziGl/Eec/DvD0PVqj0qHRomA==",
+      "version": "3.4.0",
+      "resolved": "https://registry.npmjs.org/@docusaurus/plugin-google-gtag/-/plugin-google-gtag-3.4.0.tgz",
+      "integrity": "sha512-Dsgg6PLAqzZw5wZ4QjUYc8Z2KqJqXxHxq3vIoyoBWiLEEfigIs7wHR+oiWUQy3Zk9MIk6JTYj7tMoQU0Jm3nqA==",
       "dependencies": {
-        "@docusaurus/core": "3.2.0",
-        "@docusaurus/types": "3.2.0",
-        "@docusaurus/utils-validation": "3.2.0",
+        "@docusaurus/core": "3.4.0",
+        "@docusaurus/types": "3.4.0",
+        "@docusaurus/utils-validation": "3.4.0",
         "@types/gtag.js": "^0.0.12",
         "tslib": "^2.6.0"
       },
@@ -2930,13 +2909,13 @@
       "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A=="
     },
     "node_modules/@docusaurus/plugin-google-tag-manager": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/@docusaurus/plugin-google-tag-manager/-/plugin-google-tag-manager-3.0.1.tgz",
-      "integrity": "sha512-IPFvuz83aFuheZcWpTlAdiiX1RqWIHM+OH8wS66JgwAKOiQMR3+nLywGjkLV4bp52x7nCnwhNk1rE85Cpy/CIw==",
+      "version": "3.4.0",
+      "resolved": "https://registry.npmjs.org/@docusaurus/plugin-google-tag-manager/-/plugin-google-tag-manager-3.4.0.tgz",
+      "integrity": "sha512-O9tX1BTwxIhgXpOLpFDueYA9DWk69WCbDRrjYoMQtFHSkTyE7RhNgyjSPREUWJb9i+YUg3OrsvrBYRl64FCPCQ==",
       "dependencies": {
-        "@docusaurus/core": "3.0.1",
-        "@docusaurus/types": "3.0.1",
-        "@docusaurus/utils-validation": "3.0.1",
+        "@docusaurus/core": "3.4.0",
+        "@docusaurus/types": "3.4.0",
+        "@docusaurus/utils-validation": "3.4.0",
         "tslib": "^2.6.0"
       },
       "engines": {
@@ -2948,16 +2927,16 @@
       }
     },
     "node_modules/@docusaurus/plugin-ideal-image": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/@docusaurus/plugin-ideal-image/-/plugin-ideal-image-3.0.1.tgz",
-      "integrity": "sha512-IvAUpEIz6v1/fVz6UTdQY12pYIE5geNFtsuKpsULpMaotwYf3Gs7acXjQog4qquKkc65yV5zuvMj8BZMHEwLyQ==",
+      "version": "3.4.0",
+      "resolved": "https://registry.npmjs.org/@docusaurus/plugin-ideal-image/-/plugin-ideal-image-3.4.0.tgz",
+      "integrity": "sha512-s8N/PRiv1R66UY+WX/2E9a+GjkRooXVcf0VJNEYA3yZ6c24Path15ivjmdMtKaSo/6OXYbejGlA4DJZ5TPLkCQ==",
       "dependencies": {
-        "@docusaurus/core": "3.0.1",
-        "@docusaurus/lqip-loader": "3.0.1",
+        "@docusaurus/core": "3.4.0",
+        "@docusaurus/lqip-loader": "3.4.0",
         "@docusaurus/responsive-loader": "^1.7.0",
-        "@docusaurus/theme-translations": "3.0.1",
-        "@docusaurus/types": "3.0.1",
-        "@docusaurus/utils-validation": "3.0.1",
+        "@docusaurus/theme-translations": "3.4.0",
+        "@docusaurus/types": "3.4.0",
+        "@docusaurus/utils-validation": "3.4.0",
         "@slorber/react-ideal-image": "^0.0.12",
         "react-waypoint": "^10.3.0",
         "sharp": "^0.32.3",
@@ -2979,16 +2958,16 @@
       }
     },
     "node_modules/@docusaurus/plugin-sitemap": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/@docusaurus/plugin-sitemap/-/plugin-sitemap-3.0.1.tgz",
-      "integrity": "sha512-xARiWnjtVvoEniZudlCq5T9ifnhCu/GAZ5nA7XgyLfPcNpHQa241HZdsTlLtVcecEVVdllevBKOp7qknBBaMGw==",
-      "dependencies": {
-        "@docusaurus/core": "3.0.1",
-        "@docusaurus/logger": "3.0.1",
-        "@docusaurus/types": "3.0.1",
-        "@docusaurus/utils": "3.0.1",
-        "@docusaurus/utils-common": "3.0.1",
-        "@docusaurus/utils-validation": "3.0.1",
+      "version": "3.4.0",
+      "resolved": "https://registry.npmjs.org/@docusaurus/plugin-sitemap/-/plugin-sitemap-3.4.0.tgz",
+      "integrity": "sha512-+0VDvx9SmNrFNgwPoeoCha+tRoAjopwT0+pYO1xAbyLcewXSemq+eLxEa46Q1/aoOaJQ0qqHELuQM7iS2gp33Q==",
+      "dependencies": {
+        "@docusaurus/core": "3.4.0",
+        "@docusaurus/logger": "3.4.0",
+        "@docusaurus/types": "3.4.0",
+        "@docusaurus/utils": "3.4.0",
+        "@docusaurus/utils-common": "3.4.0",
+        "@docusaurus/utils-validation": "3.4.0",
         "fs-extra": "^11.1.1",
         "sitemap": "^7.1.1",
         "tslib": "^2.6.0"
@@ -3002,42 +2981,23 @@
       }
     },
     "node_modules/@docusaurus/preset-classic": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/@docusaurus/preset-classic/-/preset-classic-3.0.1.tgz",
-      "integrity": "sha512-il9m9xZKKjoXn6h0cRcdnt6wce0Pv1y5t4xk2Wx7zBGhKG1idu4IFHtikHlD0QPuZ9fizpXspXcTzjL5FXc1Gw==",
-      "dependencies": {
-        "@docusaurus/core": "3.0.1",
-        "@docusaurus/plugin-content-blog": "3.0.1",
-        "@docusaurus/plugin-content-docs": "3.0.1",
-        "@docusaurus/plugin-content-pages": "3.0.1",
-        "@docusaurus/plugin-debug": "3.0.1",
-        "@docusaurus/plugin-google-analytics": "3.0.1",
-        "@docusaurus/plugin-google-gtag": "3.0.1",
-        "@docusaurus/plugin-google-tag-manager": "3.0.1",
-        "@docusaurus/plugin-sitemap": "3.0.1",
-        "@docusaurus/theme-classic": "3.0.1",
-        "@docusaurus/theme-common": "3.0.1",
-        "@docusaurus/theme-search-algolia": "3.0.1",
-        "@docusaurus/types": "3.0.1"
-      },
-      "engines": {
-        "node": ">=18.0"
-      },
-      "peerDependencies": {
-        "react": "^18.0.0",
-        "react-dom": "^18.0.0"
-      }
-    },
-    "node_modules/@docusaurus/preset-classic/node_modules/@docusaurus/plugin-google-gtag": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/@docusaurus/plugin-google-gtag/-/plugin-google-gtag-3.0.1.tgz",
-      "integrity": "sha512-UFTDvXniAWrajsulKUJ1DB6qplui1BlKLQZjX4F7qS/qfJ+qkKqSkhJ/F4VuGQ2JYeZstYb+KaUzUzvaPK1aRQ==",
-      "dependencies": {
-        "@docusaurus/core": "3.0.1",
-        "@docusaurus/types": "3.0.1",
-        "@docusaurus/utils-validation": "3.0.1",
-        "@types/gtag.js": "^0.0.12",
-        "tslib": "^2.6.0"
+      "version": "3.4.0",
+      "resolved": "https://registry.npmjs.org/@docusaurus/preset-classic/-/preset-classic-3.4.0.tgz",
+      "integrity": "sha512-Ohj6KB7siKqZaQhNJVMBBUzT3Nnp6eTKqO+FXO3qu/n1hJl3YLwVKTWBg28LF7MWrKu46UuYavwMRxud0VyqHg==",
+      "dependencies": {
+        "@docusaurus/core": "3.4.0",
+        "@docusaurus/plugin-content-blog": "3.4.0",
+        "@docusaurus/plugin-content-docs": "3.4.0",
+        "@docusaurus/plugin-content-pages": "3.4.0",
+        "@docusaurus/plugin-debug": "3.4.0",
+        "@docusaurus/plugin-google-analytics": "3.4.0",
+        "@docusaurus/plugin-google-gtag": "3.4.0",
+        "@docusaurus/plugin-google-tag-manager": "3.4.0",
+        "@docusaurus/plugin-sitemap": "3.4.0",
+        "@docusaurus/theme-classic": "3.4.0",
+        "@docusaurus/theme-common": "3.4.0",
+        "@docusaurus/theme-search-algolia": "3.4.0",
+        "@docusaurus/types": "3.4.0"
       },
       "engines": {
         "node": ">=18.0"
@@ -3047,18 +3007,6 @@
         "react-dom": "^18.0.0"
       }
     },
-    "node_modules/@docusaurus/react-loadable": {
-      "version": "5.5.2",
-      "resolved": "https://registry.npmjs.org/@docusaurus/react-loadable/-/react-loadable-5.5.2.tgz",
-      "integrity": "sha512-A3dYjdBGuy0IGT+wyLIGIKLRE+sAk1iNk0f1HjNDysO7u8lhL4N3VEm+FAubmJbAztn94F7MxBTPmnixbiyFdQ==",
-      "dependencies": {
-        "@types/react": "*",
-        "prop-types": "^15.6.2"
-      },
-      "peerDependencies": {
-        "react": "*"
-      }
-    },
     "node_modules/@docusaurus/responsive-loader": {
       "version": "1.7.0",
       "resolved": "https://registry.npmjs.org/@docusaurus/responsive-loader/-/responsive-loader-1.7.0.tgz",
@@ -3083,22 +3031,22 @@
       }
     },
     "node_modules/@docusaurus/theme-classic": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/@docusaurus/theme-classic/-/theme-classic-3.0.1.tgz",
-      "integrity": "sha512-XD1FRXaJiDlmYaiHHdm27PNhhPboUah9rqIH0lMpBt5kYtsGjJzhqa27KuZvHLzOP2OEpqd2+GZ5b6YPq7Q05Q==",
-      "dependencies": {
-        "@docusaurus/core": "3.0.1",
-        "@docusaurus/mdx-loader": "3.0.1",
-        "@docusaurus/module-type-aliases": "3.0.1",
-        "@docusaurus/plugin-content-blog": "3.0.1",
-        "@docusaurus/plugin-content-docs": "3.0.1",
-        "@docusaurus/plugin-content-pages": "3.0.1",
-        "@docusaurus/theme-common": "3.0.1",
-        "@docusaurus/theme-translations": "3.0.1",
-        "@docusaurus/types": "3.0.1",
-        "@docusaurus/utils": "3.0.1",
-        "@docusaurus/utils-common": "3.0.1",
-        "@docusaurus/utils-validation": "3.0.1",
+      "version": "3.4.0",
+      "resolved": "https://registry.npmjs.org/@docusaurus/theme-classic/-/theme-classic-3.4.0.tgz",
+      "integrity": "sha512-0IPtmxsBYv2adr1GnZRdMkEQt1YW6tpzrUPj02YxNpvJ5+ju4E13J5tB4nfdaen/tfR1hmpSPlTFPvTf4kwy8Q==",
+      "dependencies": {
+        "@docusaurus/core": "3.4.0",
+        "@docusaurus/mdx-loader": "3.4.0",
+        "@docusaurus/module-type-aliases": "3.4.0",
+        "@docusaurus/plugin-content-blog": "3.4.0",
+        "@docusaurus/plugin-content-docs": "3.4.0",
+        "@docusaurus/plugin-content-pages": "3.4.0",
+        "@docusaurus/theme-common": "3.4.0",
+        "@docusaurus/theme-translations": "3.4.0",
+        "@docusaurus/types": "3.4.0",
+        "@docusaurus/utils": "3.4.0",
+        "@docusaurus/utils-common": "3.4.0",
+        "@docusaurus/utils-validation": "3.4.0",
         "@mdx-js/react": "^3.0.0",
         "clsx": "^2.0.0",
         "copy-text-to-clipboard": "^3.2.0",
@@ -3121,29 +3069,10 @@
         "react-dom": "^18.0.0"
       }
     },
-    "node_modules/@docusaurus/theme-classic/node_modules/@docusaurus/module-type-aliases": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/@docusaurus/module-type-aliases/-/module-type-aliases-3.0.1.tgz",
-      "integrity": "sha512-DEHpeqUDsLynl3AhQQiO7AbC7/z/lBra34jTcdYuvp9eGm01pfH1wTVq8YqWZq6Jyx0BgcVl/VJqtE9StRd9Ag==",
-      "dependencies": {
-        "@docusaurus/react-loadable": "5.5.2",
-        "@docusaurus/types": "3.0.1",
-        "@types/history": "^4.7.11",
-        "@types/react": "*",
-        "@types/react-router-config": "*",
-        "@types/react-router-dom": "*",
-        "react-helmet-async": "*",
-        "react-loadable": "npm:@docusaurus/react-loadable@5.5.2"
-      },
-      "peerDependencies": {
-        "react": "*",
-        "react-dom": "*"
-      }
-    },
     "node_modules/@docusaurus/theme-classic/node_modules/@mdx-js/react": {
-      "version": "3.0.0",
-      "resolved": "https://registry.npmjs.org/@mdx-js/react/-/react-3.0.0.tgz",
-      "integrity": "sha512-nDctevR9KyYFyV+m+/+S4cpzCWHqj+iHDHq3QrsWezcC+B17uZdIWgCguESUkwFhM3n/56KxWVE3V6EokrmONQ==",
+      "version": "3.0.1",
+      "resolved": "https://registry.npmjs.org/@mdx-js/react/-/react-3.0.1.tgz",
+      "integrity": "sha512-9ZrPIU4MGf6et1m1ov3zKf+q9+deetI51zprKB1D/z3NOb+rUxxtEl3mCjW5wTGh6VhRdwPueh1oRzi6ezkA8A==",
       "dependencies": {
         "@types/mdx": "^2.0.0"
       },
@@ -3157,9 +3086,9 @@
       }
     },
     "node_modules/@docusaurus/theme-classic/node_modules/clsx": {
-      "version": "2.0.0",
-      "resolved": "https://registry.npmjs.org/clsx/-/clsx-2.0.0.tgz",
-      "integrity": "sha512-rQ1+kcj+ttHG0MKVGBUXwayCCF1oh39BF5COIpRzuCEv8Mwjv0XucrI2ExNTOn9IlLifGClWQcU9BrZORvtw6Q==",
+      "version": "2.1.1",
+      "resolved": "https://registry.npmjs.org/clsx/-/clsx-2.1.1.tgz",
+      "integrity": "sha512-eYm0QWBtUrBWZWG0d386OGAw16Z995PiOVo2B7bjWSbHedGl5e0ZWaq65kOGgUSNesEIDkB9ISbTg/JK9dhCZA==",
       "engines": {
         "node": ">=6"
       }
@@ -3177,17 +3106,17 @@
       }
     },
     "node_modules/@docusaurus/theme-common": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/@docusaurus/theme-common/-/theme-common-3.0.1.tgz",
-      "integrity": "sha512-cr9TOWXuIOL0PUfuXv6L5lPlTgaphKP+22NdVBOYah5jSq5XAAulJTjfe+IfLsEG4L7lJttLbhW7LXDFSAI7Ag==",
-      "dependencies": {
-        "@docusaurus/mdx-loader": "3.0.1",
-        "@docusaurus/module-type-aliases": "3.0.1",
-        "@docusaurus/plugin-content-blog": "3.0.1",
-        "@docusaurus/plugin-content-docs": "3.0.1",
-        "@docusaurus/plugin-content-pages": "3.0.1",
-        "@docusaurus/utils": "3.0.1",
-        "@docusaurus/utils-common": "3.0.1",
+      "version": "3.4.0",
+      "resolved": "https://registry.npmjs.org/@docusaurus/theme-common/-/theme-common-3.4.0.tgz",
+      "integrity": "sha512-0A27alXuv7ZdCg28oPE8nH/Iz73/IUejVaCazqu9elS4ypjiLhK3KfzdSQBnL/g7YfHSlymZKdiOHEo8fJ0qMA==",
+      "dependencies": {
+        "@docusaurus/mdx-loader": "3.4.0",
+        "@docusaurus/module-type-aliases": "3.4.0",
+        "@docusaurus/plugin-content-blog": "3.4.0",
+        "@docusaurus/plugin-content-docs": "3.4.0",
+        "@docusaurus/plugin-content-pages": "3.4.0",
+        "@docusaurus/utils": "3.4.0",
+        "@docusaurus/utils-common": "3.4.0",
         "@types/history": "^4.7.11",
         "@types/react": "*",
         "@types/react-router-config": "*",
@@ -3205,29 +3134,10 @@
         "react-dom": "^18.0.0"
       }
     },
-    "node_modules/@docusaurus/theme-common/node_modules/@docusaurus/module-type-aliases": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/@docusaurus/module-type-aliases/-/module-type-aliases-3.0.1.tgz",
-      "integrity": "sha512-DEHpeqUDsLynl3AhQQiO7AbC7/z/lBra34jTcdYuvp9eGm01pfH1wTVq8YqWZq6Jyx0BgcVl/VJqtE9StRd9Ag==",
-      "dependencies": {
-        "@docusaurus/react-loadable": "5.5.2",
-        "@docusaurus/types": "3.0.1",
-        "@types/history": "^4.7.11",
-        "@types/react": "*",
-        "@types/react-router-config": "*",
-        "@types/react-router-dom": "*",
-        "react-helmet-async": "*",
-        "react-loadable": "npm:@docusaurus/react-loadable@5.5.2"
-      },
-      "peerDependencies": {
-        "react": "*",
-        "react-dom": "*"
-      }
-    },
     "node_modules/@docusaurus/theme-common/node_modules/clsx": {
-      "version": "2.0.0",
-      "resolved": "https://registry.npmjs.org/clsx/-/clsx-2.0.0.tgz",
-      "integrity": "sha512-rQ1+kcj+ttHG0MKVGBUXwayCCF1oh39BF5COIpRzuCEv8Mwjv0XucrI2ExNTOn9IlLifGClWQcU9BrZORvtw6Q==",
+      "version": "2.1.1",
+      "resolved": "https://registry.npmjs.org/clsx/-/clsx-2.1.1.tgz",
+      "integrity": "sha512-eYm0QWBtUrBWZWG0d386OGAw16Z995PiOVo2B7bjWSbHedGl5e0ZWaq65kOGgUSNesEIDkB9ISbTg/JK9dhCZA==",
       "engines": {
         "node": ">=6"
       }
@@ -3245,18 +3155,18 @@
       }
     },
     "node_modules/@docusaurus/theme-search-algolia": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/@docusaurus/theme-search-algolia/-/theme-search-algolia-3.0.1.tgz",
-      "integrity": "sha512-DDiPc0/xmKSEdwFkXNf1/vH1SzJPzuJBar8kMcBbDAZk/SAmo/4lf6GU2drou4Ae60lN2waix+jYWTWcJRahSA==",
+      "version": "3.4.0",
+      "resolved": "https://registry.npmjs.org/@docusaurus/theme-search-algolia/-/theme-search-algolia-3.4.0.tgz",
+      "integrity": "sha512-aiHFx7OCw4Wck1z6IoShVdUWIjntC8FHCw9c5dR8r3q4Ynh+zkS8y2eFFunN/DL6RXPzpnvKCg3vhLQYJDmT9Q==",
       "dependencies": {
         "@docsearch/react": "^3.5.2",
-        "@docusaurus/core": "3.0.1",
-        "@docusaurus/logger": "3.0.1",
-        "@docusaurus/plugin-content-docs": "3.0.1",
-        "@docusaurus/theme-common": "3.0.1",
-        "@docusaurus/theme-translations": "3.0.1",
-        "@docusaurus/utils": "3.0.1",
-        "@docusaurus/utils-validation": "3.0.1",
+        "@docusaurus/core": "3.4.0",
+        "@docusaurus/logger": "3.4.0",
+        "@docusaurus/plugin-content-docs": "3.4.0",
+        "@docusaurus/theme-common": "3.4.0",
+        "@docusaurus/theme-translations": "3.4.0",
+        "@docusaurus/utils": "3.4.0",
+        "@docusaurus/utils-validation": "3.4.0",
         "algoliasearch": "^4.18.0",
         "algoliasearch-helper": "^3.13.3",
         "clsx": "^2.0.0",
@@ -3275,17 +3185,17 @@
       }
     },
     "node_modules/@docusaurus/theme-search-algolia/node_modules/clsx": {
-      "version": "2.0.0",
-      "resolved": "https://registry.npmjs.org/clsx/-/clsx-2.0.0.tgz",
-      "integrity": "sha512-rQ1+kcj+ttHG0MKVGBUXwayCCF1oh39BF5COIpRzuCEv8Mwjv0XucrI2ExNTOn9IlLifGClWQcU9BrZORvtw6Q==",
+      "version": "2.1.1",
+      "resolved": "https://registry.npmjs.org/clsx/-/clsx-2.1.1.tgz",
+      "integrity": "sha512-eYm0QWBtUrBWZWG0d386OGAw16Z995PiOVo2B7bjWSbHedGl5e0ZWaq65kOGgUSNesEIDkB9ISbTg/JK9dhCZA==",
       "engines": {
         "node": ">=6"
       }
     },
     "node_modules/@docusaurus/theme-translations": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/@docusaurus/theme-translations/-/theme-translations-3.0.1.tgz",
-      "integrity": "sha512-6UrbpzCTN6NIJnAtZ6Ne9492vmPVX+7Fsz4kmp+yor3KQwA1+MCzQP7ItDNkP38UmVLnvB/cYk/IvehCUqS3dg==",
+      "version": "3.4.0",
+      "resolved": "https://registry.npmjs.org/@docusaurus/theme-translations/-/theme-translations-3.4.0.tgz",
+      "integrity": "sha512-zSxCSpmQCCdQU5Q4CnX/ID8CSUUI3fvmq4hU/GNP/XoAWtXo9SAVnM3TzpU8Gb//H3WCsT8mJcTfyOk3d9ftNg==",
       "dependencies": {
         "fs-extra": "^11.1.1",
         "tslib": "^2.6.0"
@@ -3295,10 +3205,11 @@
       }
     },
     "node_modules/@docusaurus/types": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/@docusaurus/types/-/types-3.0.1.tgz",
-      "integrity": "sha512-plyX2iU1tcUsF46uQ01pAd4JhexR7n0iiQ5MSnBFX6M6NSJgDYdru/i1/YNPKOnQHBoXGLHv0dNT6OAlDWNjrg==",
+      "version": "3.4.0",
+      "resolved": "https://registry.npmjs.org/@docusaurus/types/-/types-3.4.0.tgz",
+      "integrity": "sha512-4jcDO8kXi5Cf9TcyikB/yKmz14f2RZ2qTRerbHAsS+5InE9ZgSLBNLsewtFTcTOXSVcbU3FoGOzcNWAmU1TR0A==",
       "dependencies": {
+        "@mdx-js/mdx": "^3.0.0",
         "@types/history": "^4.7.11",
         "@types/react": "*",
         "commander": "^5.1.0",
@@ -3314,12 +3225,13 @@
       }
     },
     "node_modules/@docusaurus/utils": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/@docusaurus/utils/-/utils-3.0.1.tgz",
-      "integrity": "sha512-TwZ33Am0q4IIbvjhUOs+zpjtD/mXNmLmEgeTGuRq01QzulLHuPhaBTTAC/DHu6kFx3wDgmgpAlaRuCHfTcXv8g==",
+      "version": "3.4.0",
+      "resolved": "https://registry.npmjs.org/@docusaurus/utils/-/utils-3.4.0.tgz",
+      "integrity": "sha512-fRwnu3L3nnWaXOgs88BVBmG1yGjcQqZNHG+vInhEa2Sz2oQB+ZjbEMO5Rh9ePFpZ0YDiDUhpaVjwmS+AU2F14g==",
       "dependencies": {
-        "@docusaurus/logger": "3.0.1",
-        "@svgr/webpack": "^6.5.1",
+        "@docusaurus/logger": "3.4.0",
+        "@docusaurus/utils-common": "3.4.0",
+        "@svgr/webpack": "^8.1.0",
         "escape-string-regexp": "^4.0.0",
         "file-loader": "^6.2.0",
         "fs-extra": "^11.1.1",
@@ -3330,10 +3242,12 @@
         "js-yaml": "^4.1.0",
         "lodash": "^4.17.21",
         "micromatch": "^4.0.5",
+        "prompts": "^2.4.2",
         "resolve-pathname": "^3.0.0",
         "shelljs": "^0.8.5",
         "tslib": "^2.6.0",
         "url-loader": "^4.1.1",
+        "utility-types": "^3.10.0",
         "webpack": "^5.88.1"
       },
       "engines": {
@@ -3349,9 +3263,9 @@
       }
     },
     "node_modules/@docusaurus/utils-common": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/@docusaurus/utils-common/-/utils-common-3.0.1.tgz",
-      "integrity": "sha512-W0AxD6w6T8g6bNro8nBRWf7PeZ/nn7geEWM335qHU2DDDjHuV4UZjgUGP1AQsdcSikPrlIqTJJbKzer1lRSlIg==",
+      "version": "3.4.0",
+      "resolved": "https://registry.npmjs.org/@docusaurus/utils-common/-/utils-common-3.4.0.tgz",
+      "integrity": "sha512-NVx54Wr4rCEKsjOH5QEVvxIqVvm+9kh7q8aYTU5WzUU9/Hctd6aTrcZ3G0Id4zYJ+AeaG5K5qHA4CY5Kcm2iyQ==",
       "dependencies": {
         "tslib": "^2.6.0"
       },
@@ -3368,14 +3282,17 @@
       }
     },
     "node_modules/@docusaurus/utils-validation": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/@docusaurus/utils-validation/-/utils-validation-3.0.1.tgz",
-      "integrity": "sha512-ujTnqSfyGQ7/4iZdB4RRuHKY/Nwm58IIb+41s5tCXOv/MBU2wGAjOHq3U+AEyJ8aKQcHbxvTKJaRchNHYUVUQg==",
+      "version": "3.4.0",
+      "resolved": "https://registry.npmjs.org/@docusaurus/utils-validation/-/utils-validation-3.4.0.tgz",
+      "integrity": "sha512-hYQ9fM+AXYVTWxJOT1EuNaRnrR2WGpRdLDQG07O8UOpsvCPWUVOeo26Rbm0JWY2sGLfzAb+tvJ62yF+8F+TV0g==",
       "dependencies": {
-        "@docusaurus/logger": "3.0.1",
-        "@docusaurus/utils": "3.0.1",
+        "@docusaurus/logger": "3.4.0",
+        "@docusaurus/utils": "3.4.0",
+        "@docusaurus/utils-common": "3.4.0",
+        "fs-extra": "^11.2.0",
         "joi": "^17.9.2",
         "js-yaml": "^4.1.0",
+        "lodash": "^4.17.21",
         "tslib": "^2.6.0"
       },
       "engines": {
@@ -3534,41 +3451,41 @@
       }
     },
     "node_modules/@jridgewell/gen-mapping": {
-      "version": "0.3.3",
-      "resolved": "https://registry.npmjs.org/@jridgewell/gen-mapping/-/gen-mapping-0.3.3.tgz",
-      "integrity": "sha512-HLhSWOLRi875zjjMG/r+Nv0oCW8umGb0BgEhyX3dDX3egwZtB8PqLnjz3yedt8R5StBrzcg4aBpnh8UA9D1BoQ==",
+      "version": "0.3.5",
+      "resolved": "https://registry.npmjs.org/@jridgewell/gen-mapping/-/gen-mapping-0.3.5.tgz",
+      "integrity": "sha512-IzL8ZoEDIBRWEzlCcRhOaCupYyN5gdIK+Q6fbFdPDg6HqX6jpkItn7DFIpW9LQzXG6Df9sA7+OKnq0qlz/GaQg==",
       "dependencies": {
-        "@jridgewell/set-array": "^1.0.1",
+        "@jridgewell/set-array": "^1.2.1",
         "@jridgewell/sourcemap-codec": "^1.4.10",
-        "@jridgewell/trace-mapping": "^0.3.9"
+        "@jridgewell/trace-mapping": "^0.3.24"
       },
       "engines": {
         "node": ">=6.0.0"
       }
     },
     "node_modules/@jridgewell/resolve-uri": {
-      "version": "3.1.1",
-      "resolved": "https://registry.npmjs.org/@jridgewell/resolve-uri/-/resolve-uri-3.1.1.tgz",
-      "integrity": "sha512-dSYZh7HhCDtCKm4QakX0xFpsRDqjjtZf/kjI/v3T3Nwt5r8/qz/M19F9ySyOqU94SXBmeG9ttTul+YnR4LOxFA==",
+      "version": "3.1.2",
+      "resolved": "https://registry.npmjs.org/@jridgewell/resolve-uri/-/resolve-uri-3.1.2.tgz",
+      "integrity": "sha512-bRISgCIjP20/tbWSPWMEi54QVPRZExkuD9lJL+UIxUKtwVJA8wW1Trb1jMs1RFXo1CBTNZ/5hpC9QvmKWdopKw==",
       "engines": {
         "node": ">=6.0.0"
       }
     },
     "node_modules/@jridgewell/set-array": {
-      "version": "1.1.2",
-      "resolved": "https://registry.npmjs.org/@jridgewell/set-array/-/set-array-1.1.2.tgz",
-      "integrity": "sha512-xnkseuNADM0gt2bs+BvhO0p78Mk762YnZdsuzFV018NoG1Sj1SCQvpSqa7XUaTam5vAGasABV9qXASMKnFMwMw==",
+      "version": "1.2.1",
+      "resolved": "https://registry.npmjs.org/@jridgewell/set-array/-/set-array-1.2.1.tgz",
+      "integrity": "sha512-R8gLRTZeyp03ymzP/6Lil/28tGeGEzhx1q2k703KGWRAI1VdvPIXdG70VJc2pAMw3NA6JKL5hhFu1sJX0Mnn/A==",
       "engines": {
         "node": ">=6.0.0"
       }
     },
     "node_modules/@jridgewell/source-map": {
-      "version": "0.3.5",
-      "resolved": "https://registry.npmjs.org/@jridgewell/source-map/-/source-map-0.3.5.tgz",
-      "integrity": "sha512-UTYAUj/wviwdsMfzoSJspJxbkH5o1snzwX0//0ENX1u/55kkZZkcTZP6u9bwKGkv+dkk9at4m1Cpt0uY80kcpQ==",
+      "version": "0.3.6",
+      "resolved": "https://registry.npmjs.org/@jridgewell/source-map/-/source-map-0.3.6.tgz",
+      "integrity": "sha512-1ZJTZebgqllO79ue2bm3rIGud/bOe0pP5BjSRCRxxYkEZS8STV7zN84UBbiYu7jy+eCKSnVIUgoWWE/tt+shMQ==",
       "dependencies": {
-        "@jridgewell/gen-mapping": "^0.3.0",
-        "@jridgewell/trace-mapping": "^0.3.9"
+        "@jridgewell/gen-mapping": "^0.3.5",
+        "@jridgewell/trace-mapping": "^0.3.25"
       }
     },
     "node_modules/@jridgewell/sourcemap-codec": {
@@ -3577,23 +3494,23 @@
       "integrity": "sha512-eF2rxCRulEKXHTRiDrDy6erMYWqNw4LPdQ8UQA4huuxaQsVeRPFl2oM8oDGxMFhJUWZf9McpLtJasDDZb/Bpeg=="
     },
     "node_modules/@jridgewell/trace-mapping": {
-      "version": "0.3.20",
-      "resolved": "https://registry.npmjs.org/@jridgewell/trace-mapping/-/trace-mapping-0.3.20.tgz",
-      "integrity": "sha512-R8LcPeWZol2zR8mmH3JeKQ6QRCFb7XgUhV9ZlGhHLGyg4wpPiPZNQOOWhFZhxKw8u//yTbNGI42Bx/3paXEQ+Q==",
+      "version": "0.3.25",
+      "resolved": "https://registry.npmjs.org/@jridgewell/trace-mapping/-/trace-mapping-0.3.25.tgz",
+      "integrity": "sha512-vNk6aEwybGtawWmy/PzwnGDOjCkLWSD2wqvjGGAgOAwCGWySYXfYoxt00IJkTF+8Lb57DwOb3Aa0o9CApepiYQ==",
       "dependencies": {
         "@jridgewell/resolve-uri": "^3.1.0",
         "@jridgewell/sourcemap-codec": "^1.4.14"
       }
     },
     "node_modules/@leichtgewicht/ip-codec": {
-      "version": "2.0.4",
-      "resolved": "https://registry.npmjs.org/@leichtgewicht/ip-codec/-/ip-codec-2.0.4.tgz",
-      "integrity": "sha512-Hcv+nVC0kZnQ3tD9GVu5xSMR4VVYOteQIr/hwFPVEvPdlXqgGEuRjiheChHgdM+JyqdgNcmzZOX/tnl0JOiI7A=="
+      "version": "2.0.5",
+      "resolved": "https://registry.npmjs.org/@leichtgewicht/ip-codec/-/ip-codec-2.0.5.tgz",
+      "integrity": "sha512-Vo+PSpZG2/fmgmiNzYK9qWRh8h/CHrwD0mo1h1DzL4yzHNSfWYujGTYsWGreD000gcgmZ7K4Ys6Tx9TxtsKdDw=="
     },
     "node_modules/@mdx-js/mdx": {
-      "version": "3.0.0",
-      "resolved": "https://registry.npmjs.org/@mdx-js/mdx/-/mdx-3.0.0.tgz",
-      "integrity": "sha512-Icm0TBKBLYqroYbNW3BPnzMGn+7mwpQOK310aZ7+fkCtiU3aqv2cdcX+nd0Ydo3wI5Rx8bX2Z2QmGb/XcAClCw==",
+      "version": "3.0.1",
+      "resolved": "https://registry.npmjs.org/@mdx-js/mdx/-/mdx-3.0.1.tgz",
+      "integrity": "sha512-eIQ4QTrOWyL3LWEe/bu6Taqzq2HQvHcyTMaOrI95P2/LmJE7AsfPfgJGuFLPVqBUE1BC1rik3VIhU+s9u72arA==",
       "dependencies": {
         "@types/estree": "^1.0.0",
         "@types/estree-jsx": "^1.0.0",
@@ -3713,26 +3630,11 @@
         "node": "^12.13.0 || ^14.15.0 || >=16.0.0"
       }
     },
-    "node_modules/@npmcli/fs/node_modules/lru-cache": {
-      "version": "6.0.0",
-      "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-6.0.0.tgz",
-      "integrity": "sha512-Jo6dJ04CmSjuznwJSS3pUeWmd/H0ffTlkXXgwZi+eq1UCmqQwCh+eLsYOYCwY991i2Fah4h1BEMCx4qThGbsiA==",
-      "dev": true,
-      "dependencies": {
-        "yallist": "^4.0.0"
-      },
-      "engines": {
-        "node": ">=10"
-      }
-    },
     "node_modules/@npmcli/fs/node_modules/semver": {
-      "version": "7.5.4",
-      "resolved": "https://registry.npmjs.org/semver/-/semver-7.5.4.tgz",
-      "integrity": "sha512-1bCSESV6Pv+i21Hvpxp3Dx+pSD8lIPt8uVjRrxAUt/nbswYc+tK6Y2btiULjd4+fnq15PX+nqQDC7Oft7WkwcA==",
+      "version": "7.6.2",
+      "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.2.tgz",
+      "integrity": "sha512-FNAIBWCx9qcRhoHcgcJ0gvU7SN1lYU2ZXuSfl04bSC5OpvDHFyJCjdNHomPXxjQlCBU67YW64PzY7/VIEH7F2w==",
       "dev": true,
-      "dependencies": {
-        "lru-cache": "^6.0.0"
-      },
       "bin": {
         "semver": "bin/semver.js"
       },
@@ -3740,12 +3642,6 @@
         "node": ">=10"
       }
     },
-    "node_modules/@npmcli/fs/node_modules/yallist": {
-      "version": "4.0.0",
-      "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz",
-      "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A==",
-      "dev": true
-    },
     "node_modules/@npmcli/move-file": {
       "version": "2.0.1",
       "resolved": "https://registry.npmjs.org/@npmcli/move-file/-/move-file-2.0.1.tgz",
@@ -3821,14 +3717,14 @@
       }
     },
     "node_modules/@polka/url": {
-      "version": "1.0.0-next.24",
-      "resolved": "https://registry.npmjs.org/@polka/url/-/url-1.0.0-next.24.tgz",
-      "integrity": "sha512-2LuNTFBIO0m7kKIQvvPHN6UE63VjpmL9rnEEaOOaiSPbZK+zUOYIzBAWcED+3XYzhYsd/0mD57VdxAEqqV52CQ=="
+      "version": "1.0.0-next.25",
+      "resolved": "https://registry.npmjs.org/@polka/url/-/url-1.0.0-next.25.tgz",
+      "integrity": "sha512-j7P6Rgr3mmtdkeDGTe0E/aYyWEWVtc5yFXtHCRHs28/jptDEWfaVOc5T7cblqy1XKPPfCxJc/8DwQ5YgLOZOVQ=="
     },
     "node_modules/@prismicio/client": {
-      "version": "7.3.1",
-      "resolved": "https://registry.npmjs.org/@prismicio/client/-/client-7.3.1.tgz",
-      "integrity": "sha512-9MKR/atr4dIQz8rZsQ4Fe7588qSQF2CYXutYW8O9bJOqlrjvAcC8b1Yvu7AIOksXlxE/aAWPtriQ2JZMiTFjNw==",
+      "version": "7.5.0",
+      "resolved": "https://registry.npmjs.org/@prismicio/client/-/client-7.5.0.tgz",
+      "integrity": "sha512-4gcW59r2/JF9hngd7HRTJ3dmOJ3+befegb7FQi3s5e5Eo4UBSDgq9ufh9d/pJ0yqsRpuPrjbib82uJBlFQf+rQ==",
       "dependencies": {
         "imgix-url-builder": "^0.0.4"
       },
@@ -3837,9 +3733,9 @@
       }
     },
     "node_modules/@sideway/address": {
-      "version": "4.1.4",
-      "resolved": "https://registry.npmjs.org/@sideway/address/-/address-4.1.4.tgz",
-      "integrity": "sha512-7vwq+rOHVWjyXxVlR76Agnvhy8I9rpzjosTESvmhNeXOXdZZB15Fl+TI9x1SiHZH5Jv2wTGduSxFDIaq0m3DUw==",
+      "version": "4.1.5",
+      "resolved": "https://registry.npmjs.org/@sideway/address/-/address-4.1.5.tgz",
+      "integrity": "sha512-IqO/DUQHUkPeixNQ8n0JA6102hT9CmaljNTPmQ1u8MEhBo/R4Q8eKLN/vGZxuebwOroDB4cbpjheD4+/sKFK4Q==",
       "dependencies": {
         "@hapi/hoek": "^9.0.0"
       }
@@ -3894,25 +3790,12 @@
         "micromark-util-symbol": "^1.0.1"
       }
     },
-    "node_modules/@slorber/static-site-generator-webpack-plugin": {
-      "version": "4.0.7",
-      "resolved": "https://registry.npmjs.org/@slorber/static-site-generator-webpack-plugin/-/static-site-generator-webpack-plugin-4.0.7.tgz",
-      "integrity": "sha512-Ug7x6z5lwrz0WqdnNFOMYrDQNTPAprvHLSh6+/fmml3qUiz6l5eq+2MzLKWtn/q5K5NpSiFsZTP/fck/3vjSxA==",
-      "dependencies": {
-        "eval": "^0.1.8",
-        "p-map": "^4.0.0",
-        "webpack-sources": "^3.2.2"
-      },
-      "engines": {
-        "node": ">=14"
-      }
-    },
     "node_modules/@svgr/babel-plugin-add-jsx-attribute": {
-      "version": "6.5.1",
-      "resolved": "https://registry.npmjs.org/@svgr/babel-plugin-add-jsx-attribute/-/babel-plugin-add-jsx-attribute-6.5.1.tgz",
-      "integrity": "sha512-9PYGcXrAxitycIjRmZB+Q0JaN07GZIWaTBIGQzfaZv+qr1n8X1XUEJ5rZ/vx6OVD9RRYlrNnXWExQXcmZeD/BQ==",
+      "version": "8.0.0",
+      "resolved": "https://registry.npmjs.org/@svgr/babel-plugin-add-jsx-attribute/-/babel-plugin-add-jsx-attribute-8.0.0.tgz",
+      "integrity": "sha512-b9MIk7yhdS1pMCZM8VeNfUlSKVRhsHZNMl5O9SfaX0l0t5wjdgu4IDzGB8bpnGBBOjGST3rRFVsaaEtI4W6f7g==",
       "engines": {
-        "node": ">=10"
+        "node": ">=14"
       },
       "funding": {
         "type": "github",
@@ -3953,11 +3836,11 @@
       }
     },
     "node_modules/@svgr/babel-plugin-replace-jsx-attribute-value": {
-      "version": "6.5.1",
-      "resolved": "https://registry.npmjs.org/@svgr/babel-plugin-replace-jsx-attribute-value/-/babel-plugin-replace-jsx-attribute-value-6.5.1.tgz",
-      "integrity": "sha512-8DPaVVE3fd5JKuIC29dqyMB54sA6mfgki2H2+swh+zNJoynC8pMPzOkidqHOSc6Wj032fhl8Z0TVn1GiPpAiJg==",
+      "version": "8.0.0",
+      "resolved": "https://registry.npmjs.org/@svgr/babel-plugin-replace-jsx-attribute-value/-/babel-plugin-replace-jsx-attribute-value-8.0.0.tgz",
+      "integrity": "sha512-KVQ+PtIjb1BuYT3ht8M5KbzWBhdAjjUPdlMtpuw/VjT8coTrItWX6Qafl9+ji831JaJcu6PJNKCV0bp01lBNzQ==",
       "engines": {
-        "node": ">=10"
+        "node": ">=14"
       },
       "funding": {
         "type": "github",
@@ -3968,11 +3851,11 @@
       }
     },
     "node_modules/@svgr/babel-plugin-svg-dynamic-title": {
-      "version": "6.5.1",
-      "resolved": "https://registry.npmjs.org/@svgr/babel-plugin-svg-dynamic-title/-/babel-plugin-svg-dynamic-title-6.5.1.tgz",
-      "integrity": "sha512-FwOEi0Il72iAzlkaHrlemVurgSQRDFbk0OC8dSvD5fSBPHltNh7JtLsxmZUhjYBZo2PpcU/RJvvi6Q0l7O7ogw==",
+      "version": "8.0.0",
+      "resolved": "https://registry.npmjs.org/@svgr/babel-plugin-svg-dynamic-title/-/babel-plugin-svg-dynamic-title-8.0.0.tgz",
+      "integrity": "sha512-omNiKqwjNmOQJ2v6ge4SErBbkooV2aAWwaPFs2vUY7p7GhVkzRkJ00kILXQvRhA6miHnNpXv7MRnnSjdRjK8og==",
       "engines": {
-        "node": ">=10"
+        "node": ">=14"
       },
       "funding": {
         "type": "github",
@@ -3983,11 +3866,11 @@
       }
     },
     "node_modules/@svgr/babel-plugin-svg-em-dimensions": {
-      "version": "6.5.1",
-      "resolved": "https://registry.npmjs.org/@svgr/babel-plugin-svg-em-dimensions/-/babel-plugin-svg-em-dimensions-6.5.1.tgz",
-      "integrity": "sha512-gWGsiwjb4tw+ITOJ86ndY/DZZ6cuXMNE/SjcDRg+HLuCmwpcjOktwRF9WgAiycTqJD/QXqL2f8IzE2Rzh7aVXA==",
+      "version": "8.0.0",
+      "resolved": "https://registry.npmjs.org/@svgr/babel-plugin-svg-em-dimensions/-/babel-plugin-svg-em-dimensions-8.0.0.tgz",
+      "integrity": "sha512-mURHYnu6Iw3UBTbhGwE/vsngtCIbHE43xCRK7kCw4t01xyGqb2Pd+WXekRRoFOBIY29ZoOhUCTEweDMdrjfi9g==",
       "engines": {
-        "node": ">=10"
+        "node": ">=14"
       },
       "funding": {
         "type": "github",
@@ -3998,11 +3881,11 @@
       }
     },
     "node_modules/@svgr/babel-plugin-transform-react-native-svg": {
-      "version": "6.5.1",
-      "resolved": "https://registry.npmjs.org/@svgr/babel-plugin-transform-react-native-svg/-/babel-plugin-transform-react-native-svg-6.5.1.tgz",
-      "integrity": "sha512-2jT3nTayyYP7kI6aGutkyfJ7UMGtuguD72OjeGLwVNyfPRBD8zQthlvL+fAbAKk5n9ZNcvFkp/b1lZ7VsYqVJg==",
+      "version": "8.1.0",
+      "resolved": "https://registry.npmjs.org/@svgr/babel-plugin-transform-react-native-svg/-/babel-plugin-transform-react-native-svg-8.1.0.tgz",
+      "integrity": "sha512-Tx8T58CHo+7nwJ+EhUwx3LfdNSG9R2OKfaIXXs5soiy5HtgoAEkDay9LIimLOcG8dJQH1wPZp/cnAv6S9CrR1Q==",
       "engines": {
-        "node": ">=10"
+        "node": ">=14"
       },
       "funding": {
         "type": "github",
@@ -4013,9 +3896,9 @@
       }
     },
     "node_modules/@svgr/babel-plugin-transform-svg-component": {
-      "version": "6.5.1",
-      "resolved": "https://registry.npmjs.org/@svgr/babel-plugin-transform-svg-component/-/babel-plugin-transform-svg-component-6.5.1.tgz",
-      "integrity": "sha512-a1p6LF5Jt33O3rZoVRBqdxL350oge54iZWHNI6LJB5tQ7EelvD/Mb1mfBiZNAan0dt4i3VArkFRjA4iObuNykQ==",
+      "version": "8.0.0",
+      "resolved": "https://registry.npmjs.org/@svgr/babel-plugin-transform-svg-component/-/babel-plugin-transform-svg-component-8.0.0.tgz",
+      "integrity": "sha512-DFx8xa3cZXTdb/k3kfPeaixecQLgKh5NVBMwD0AQxOzcZawK4oo1Jh9LbrcACUivsCA7TLG8eeWgrDXjTMhRmw==",
       "engines": {
         "node": ">=12"
       },
@@ -4028,21 +3911,21 @@
       }
     },
     "node_modules/@svgr/babel-preset": {
-      "version": "6.5.1",
-      "resolved": "https://registry.npmjs.org/@svgr/babel-preset/-/babel-preset-6.5.1.tgz",
-      "integrity": "sha512-6127fvO/FF2oi5EzSQOAjo1LE3OtNVh11R+/8FXa+mHx1ptAaS4cknIjnUA7e6j6fwGGJ17NzaTJFUwOV2zwCw==",
+      "version": "8.1.0",
+      "resolved": "https://registry.npmjs.org/@svgr/babel-preset/-/babel-preset-8.1.0.tgz",
+      "integrity": "sha512-7EYDbHE7MxHpv4sxvnVPngw5fuR6pw79SkcrILHJ/iMpuKySNCl5W1qcwPEpU+LgyRXOaAFgH0KhwD18wwg6ug==",
       "dependencies": {
-        "@svgr/babel-plugin-add-jsx-attribute": "^6.5.1",
-        "@svgr/babel-plugin-remove-jsx-attribute": "*",
-        "@svgr/babel-plugin-remove-jsx-empty-expression": "*",
-        "@svgr/babel-plugin-replace-jsx-attribute-value": "^6.5.1",
-        "@svgr/babel-plugin-svg-dynamic-title": "^6.5.1",
-        "@svgr/babel-plugin-svg-em-dimensions": "^6.5.1",
-        "@svgr/babel-plugin-transform-react-native-svg": "^6.5.1",
-        "@svgr/babel-plugin-transform-svg-component": "^6.5.1"
+        "@svgr/babel-plugin-add-jsx-attribute": "8.0.0",
+        "@svgr/babel-plugin-remove-jsx-attribute": "8.0.0",
+        "@svgr/babel-plugin-remove-jsx-empty-expression": "8.0.0",
+        "@svgr/babel-plugin-replace-jsx-attribute-value": "8.0.0",
+        "@svgr/babel-plugin-svg-dynamic-title": "8.0.0",
+        "@svgr/babel-plugin-svg-em-dimensions": "8.0.0",
+        "@svgr/babel-plugin-transform-react-native-svg": "8.1.0",
+        "@svgr/babel-plugin-transform-svg-component": "8.0.0"
       },
       "engines": {
-        "node": ">=10"
+        "node": ">=14"
       },
       "funding": {
         "type": "github",
@@ -4053,18 +3936,18 @@
       }
     },
     "node_modules/@svgr/core": {
-      "version": "6.5.1",
-      "resolved": "https://registry.npmjs.org/@svgr/core/-/core-6.5.1.tgz",
-      "integrity": "sha512-/xdLSWxK5QkqG524ONSjvg3V/FkNyCv538OIBdQqPNaAta3AsXj/Bd2FbvR87yMbXO2hFSWiAe/Q6IkVPDw+mw==",
+      "version": "8.1.0",
+      "resolved": "https://registry.npmjs.org/@svgr/core/-/core-8.1.0.tgz",
+      "integrity": "sha512-8QqtOQT5ACVlmsvKOJNEaWmRPmcojMOzCz4Hs2BGG/toAp/K38LcsMRyLp349glq5AzJbCEeimEoxaX6v/fLrA==",
       "dependencies": {
-        "@babel/core": "^7.19.6",
-        "@svgr/babel-preset": "^6.5.1",
-        "@svgr/plugin-jsx": "^6.5.1",
+        "@babel/core": "^7.21.3",
+        "@svgr/babel-preset": "8.1.0",
         "camelcase": "^6.2.0",
-        "cosmiconfig": "^7.0.1"
+        "cosmiconfig": "^8.1.3",
+        "snake-case": "^3.0.4"
       },
       "engines": {
-        "node": ">=10"
+        "node": ">=14"
       },
       "funding": {
         "type": "github",
@@ -4072,15 +3955,15 @@
       }
     },
     "node_modules/@svgr/hast-util-to-babel-ast": {
-      "version": "6.5.1",
-      "resolved": "https://registry.npmjs.org/@svgr/hast-util-to-babel-ast/-/hast-util-to-babel-ast-6.5.1.tgz",
-      "integrity": "sha512-1hnUxxjd83EAxbL4a0JDJoD3Dao3hmjvyvyEV8PzWmLK3B9m9NPlW7GKjFyoWE8nM7HnXzPcmmSyOW8yOddSXw==",
+      "version": "8.0.0",
+      "resolved": "https://registry.npmjs.org/@svgr/hast-util-to-babel-ast/-/hast-util-to-babel-ast-8.0.0.tgz",
+      "integrity": "sha512-EbDKwO9GpfWP4jN9sGdYwPBU0kdomaPIL2Eu4YwmgP+sJeXT+L7bMwJUBnhzfH8Q2qMBqZ4fJwpCyYsAN3mt2Q==",
       "dependencies": {
-        "@babel/types": "^7.20.0",
+        "@babel/types": "^7.21.3",
         "entities": "^4.4.0"
       },
       "engines": {
-        "node": ">=10"
+        "node": ">=14"
       },
       "funding": {
         "type": "github",
@@ -4088,37 +3971,37 @@
       }
     },
     "node_modules/@svgr/plugin-jsx": {
-      "version": "6.5.1",
-      "resolved": "https://registry.npmjs.org/@svgr/plugin-jsx/-/plugin-jsx-6.5.1.tgz",
-      "integrity": "sha512-+UdQxI3jgtSjCykNSlEMuy1jSRQlGC7pqBCPvkG/2dATdWo082zHTTK3uhnAju2/6XpE6B5mZ3z4Z8Ns01S8Gw==",
+      "version": "8.1.0",
+      "resolved": "https://registry.npmjs.org/@svgr/plugin-jsx/-/plugin-jsx-8.1.0.tgz",
+      "integrity": "sha512-0xiIyBsLlr8quN+WyuxooNW9RJ0Dpr8uOnH/xrCVO8GLUcwHISwj1AG0k+LFzteTkAA0GbX0kj9q6Dk70PTiPA==",
       "dependencies": {
-        "@babel/core": "^7.19.6",
-        "@svgr/babel-preset": "^6.5.1",
-        "@svgr/hast-util-to-babel-ast": "^6.5.1",
+        "@babel/core": "^7.21.3",
+        "@svgr/babel-preset": "8.1.0",
+        "@svgr/hast-util-to-babel-ast": "8.0.0",
         "svg-parser": "^2.0.4"
       },
       "engines": {
-        "node": ">=10"
+        "node": ">=14"
       },
       "funding": {
         "type": "github",
         "url": "https://github.com/sponsors/gregberge"
       },
       "peerDependencies": {
-        "@svgr/core": "^6.0.0"
+        "@svgr/core": "*"
       }
     },
     "node_modules/@svgr/plugin-svgo": {
-      "version": "6.5.1",
-      "resolved": "https://registry.npmjs.org/@svgr/plugin-svgo/-/plugin-svgo-6.5.1.tgz",
-      "integrity": "sha512-omvZKf8ixP9z6GWgwbtmP9qQMPX4ODXi+wzbVZgomNFsUIlHA1sf4fThdwTWSsZGgvGAG6yE+b/F5gWUkcZ/iQ==",
+      "version": "8.1.0",
+      "resolved": "https://registry.npmjs.org/@svgr/plugin-svgo/-/plugin-svgo-8.1.0.tgz",
+      "integrity": "sha512-Ywtl837OGO9pTLIN/onoWLmDQ4zFUycI1g76vuKGEz6evR/ZTJlJuz3G/fIkb6OVBJ2g0o6CGJzaEjfmEo3AHA==",
       "dependencies": {
-        "cosmiconfig": "^7.0.1",
-        "deepmerge": "^4.2.2",
-        "svgo": "^2.8.0"
+        "cosmiconfig": "^8.1.3",
+        "deepmerge": "^4.3.1",
+        "svgo": "^3.0.2"
       },
       "engines": {
-        "node": ">=10"
+        "node": ">=14"
       },
       "funding": {
         "type": "github",
@@ -4129,21 +4012,21 @@
       }
     },
     "node_modules/@svgr/webpack": {
-      "version": "6.5.1",
-      "resolved": "https://registry.npmjs.org/@svgr/webpack/-/webpack-6.5.1.tgz",
-      "integrity": "sha512-cQ/AsnBkXPkEK8cLbv4Dm7JGXq2XrumKnL1dRpJD9rIO2fTIlJI9a1uCciYG1F2aUsox/hJQyNGbt3soDxSRkA==",
+      "version": "8.1.0",
+      "resolved": "https://registry.npmjs.org/@svgr/webpack/-/webpack-8.1.0.tgz",
+      "integrity": "sha512-LnhVjMWyMQV9ZmeEy26maJk+8HTIbd59cH4F2MJ439k9DqejRisfFNGAPvRYlKETuh9LrImlS8aKsBgKjMA8WA==",
       "dependencies": {
-        "@babel/core": "^7.19.6",
-        "@babel/plugin-transform-react-constant-elements": "^7.18.12",
-        "@babel/preset-env": "^7.19.4",
+        "@babel/core": "^7.21.3",
+        "@babel/plugin-transform-react-constant-elements": "^7.21.3",
+        "@babel/preset-env": "^7.20.2",
         "@babel/preset-react": "^7.18.6",
-        "@babel/preset-typescript": "^7.18.6",
-        "@svgr/core": "^6.5.1",
-        "@svgr/plugin-jsx": "^6.5.1",
-        "@svgr/plugin-svgo": "^6.5.1"
+        "@babel/preset-typescript": "^7.21.0",
+        "@svgr/core": "8.1.0",
+        "@svgr/plugin-jsx": "8.1.0",
+        "@svgr/plugin-svgo": "8.1.0"
       },
       "engines": {
-        "node": ">=10"
+        "node": ">=14"
       },
       "funding": {
         "type": "github",
@@ -4229,9 +4112,9 @@
       }
     },
     "node_modules/@types/eslint": {
-      "version": "8.56.0",
-      "resolved": "https://registry.npmjs.org/@types/eslint/-/eslint-8.56.0.tgz",
-      "integrity": "sha512-FlsN0p4FhuYRjIxpbdXovvHQhtlG05O1GG/RNWvdAxTboR438IOTwmrY/vLA+Xfgg06BTkP045M3vpFwTMv1dg==",
+      "version": "8.56.10",
+      "resolved": "https://registry.npmjs.org/@types/eslint/-/eslint-8.56.10.tgz",
+      "integrity": "sha512-Shavhk87gCtY2fhXDctcfS3e6FdxWkCx1iUZ9eEUbh7rTqlZT0/IzOkCOVt0fCjcFuZ9FPYfuezTBImfHCDBGQ==",
       "dependencies": {
         "@types/estree": "*",
         "@types/json-schema": "*"
@@ -4252,9 +4135,9 @@
       "integrity": "sha512-/kYRxGDLWzHOB7q+wtSUQlFrtcdUccpfy+X+9iMBpHK8QLLhx2wIPYuS5DYtR9Wa/YlZAbIovy7qVdB1Aq6Lyw=="
     },
     "node_modules/@types/estree-jsx": {
-      "version": "1.0.3",
-      "resolved": "https://registry.npmjs.org/@types/estree-jsx/-/estree-jsx-1.0.3.tgz",
-      "integrity": "sha512-pvQ+TKeRHeiUGRhvYwRrQ/ISnohKkSJR14fT2yqyZ4e9K5vqc7hrtY2Y1Dw0ZwAzQ6DQsxsaCUuSIIi8v0Cq6w==",
+      "version": "1.0.5",
+      "resolved": "https://registry.npmjs.org/@types/estree-jsx/-/estree-jsx-1.0.5.tgz",
+      "integrity": "sha512-52CcUVNFyfb1A2ALocQw/Dd1BQFNmSdkuC3BkZ6iqhdMfQz7JWOFRuJFloOzjk+6WijU56m9oKXFAXc7o3Towg==",
       "dependencies": {
         "@types/estree": "*"
       }
@@ -4271,9 +4154,9 @@
       }
     },
     "node_modules/@types/express-serve-static-core": {
-      "version": "4.17.41",
-      "resolved": "https://registry.npmjs.org/@types/express-serve-static-core/-/express-serve-static-core-4.17.41.tgz",
-      "integrity": "sha512-OaJ7XLaelTgrvlZD8/aa0vvvxZdUmlCn6MtWeB7TkiKW70BQLc9XEPpDLPdbo52ZhXUCrznlWdCHWxJWtdyajA==",
+      "version": "4.19.3",
+      "resolved": "https://registry.npmjs.org/@types/express-serve-static-core/-/express-serve-static-core-4.19.3.tgz",
+      "integrity": "sha512-KOzM7MhcBFlmnlr/fzISFF5vGWVSvN6fTd4T+ExOt08bA/dA5kpSzY52nMsI1KDFmUREpJelPYyuslLRSjjgCg==",
       "dependencies": {
         "@types/node": "*",
         "@types/qs": "*",
@@ -4287,9 +4170,9 @@
       "integrity": "sha512-YQV9bUsemkzG81Ea295/nF/5GijnD2Af7QhEofh7xu+kvCN6RdodgNwwGWXB5GMI3NoyvQo0odNctoH/qLMIpg=="
     },
     "node_modules/@types/hast": {
-      "version": "3.0.3",
-      "resolved": "https://registry.npmjs.org/@types/hast/-/hast-3.0.3.tgz",
-      "integrity": "sha512-2fYGlaDy/qyLlhidX42wAH0KBi2TCjKMH8CHmBXgRlJ3Y+OXTiqsPQ6IWarZKwF1JoUcAJdPogv1d4b0COTpmQ==",
+      "version": "3.0.4",
+      "resolved": "https://registry.npmjs.org/@types/hast/-/hast-3.0.4.tgz",
+      "integrity": "sha512-WPs+bbQw5aCj+x6laNGWLH3wviHtoCv/P3+otBhbOhJgG8qtpdAMlTCxLtsTWA7LH1Oh/bFCHsBn0TPS5m30EQ==",
       "dependencies": {
         "@types/unist": "*"
       }
@@ -4349,17 +4232,17 @@
       "integrity": "sha512-5+fP8P8MFNC+AyZCDxrB2pkZFPGzqQWUzpSeuuVLvm8VMcorNYavBqoFcxK8bQz4Qsbn4oUEEem4wDLfcysGHA=="
     },
     "node_modules/@types/mdast": {
-      "version": "4.0.3",
-      "resolved": "https://registry.npmjs.org/@types/mdast/-/mdast-4.0.3.tgz",
-      "integrity": "sha512-LsjtqsyF+d2/yFOYaN22dHZI1Cpwkrj+g06G8+qtUKlhovPW89YhqSnfKtMbkgmEtYpH2gydRNULd6y8mciAFg==",
+      "version": "4.0.4",
+      "resolved": "https://registry.npmjs.org/@types/mdast/-/mdast-4.0.4.tgz",
+      "integrity": "sha512-kGaNbPh1k7AFzgpud/gMdvIm5xuECykRR+JnWKQno9TAXVa6WIVCGTPvYGekIDL4uwCZQSYbUxNBSb1aUo79oA==",
       "dependencies": {
         "@types/unist": "*"
       }
     },
     "node_modules/@types/mdx": {
-      "version": "2.0.10",
-      "resolved": "https://registry.npmjs.org/@types/mdx/-/mdx-2.0.10.tgz",
-      "integrity": "sha512-Rllzc5KHk0Al5/WANwgSPl1/CwjqCy+AZrGd78zuK+jO9aDM6ffblZ+zIjgPNAaEBmlO0RYDvLNh7wD0zKVgEg=="
+      "version": "2.0.13",
+      "resolved": "https://registry.npmjs.org/@types/mdx/-/mdx-2.0.13.tgz",
+      "integrity": "sha512-+OWZQfAYyio6YkJb3HLxDrvnx6SWWDbC0zVPfBRzUk0/nqoDyf6dNxQi3eArPe8rJ473nobTMQ/8Zk+LxJ+Yuw=="
     },
     "node_modules/@types/mime": {
       "version": "1.3.5",
@@ -4378,17 +4261,17 @@
       "integrity": "sha512-nG96G3Wp6acyAgJqGasjODb+acrI7KltPiRxzHPXnP3NgI28bpQDRv53olbqGXbfcgF5aiiHmO3xpwEpS5Ld9g=="
     },
     "node_modules/@types/node": {
-      "version": "20.10.5",
-      "resolved": "https://registry.npmjs.org/@types/node/-/node-20.10.5.tgz",
-      "integrity": "sha512-nNPsNE65wjMxEKI93yOP+NPGGBJz/PoN3kZsVLee0XMiJolxSekEVD8wRwBUBqkwc7UWop0edW50yrCQW4CyRw==",
+      "version": "20.14.5",
+      "resolved": "https://registry.npmjs.org/@types/node/-/node-20.14.5.tgz",
+      "integrity": "sha512-aoRR+fJkZT2l0aGOJhuA8frnCSoNX6W7U2mpNq63+BxBIj5BQFt8rHy627kijCmm63ijdSdwvGgpUsU6MBsZZA==",
       "dependencies": {
         "undici-types": "~5.26.4"
       }
     },
     "node_modules/@types/node-forge": {
-      "version": "1.3.10",
-      "resolved": "https://registry.npmjs.org/@types/node-forge/-/node-forge-1.3.10.tgz",
-      "integrity": "sha512-y6PJDYN4xYBxwd22l+OVH35N+1fCYWiuC3aiP2SlXVE6Lo7SS+rSx9r89hLxrP4pn6n1lBGhHJ12pj3F3Mpttw==",
+      "version": "1.3.11",
+      "resolved": "https://registry.npmjs.org/@types/node-forge/-/node-forge-1.3.11.tgz",
+      "integrity": "sha512-FQx220y22OKNTqaByeBGqHWYz4cl94tpcxeFdvBo3wjG6XPBuZ0BNgNZRV5J5TFmmcsJ4IzsLkmGRiQbnYsBEQ==",
       "dependencies": {
         "@types/node": "*"
       }
@@ -4405,19 +4288,19 @@
       "integrity": "sha512-dISoDXWWQwUquiKsyZ4Ng+HX2KsPL7LyHKHQwgGFEA3IaKac4Obd+h2a/a6waisAoepJlBcx9paWqjA8/HVjCw=="
     },
     "node_modules/@types/prismjs": {
-      "version": "1.26.3",
-      "resolved": "https://registry.npmjs.org/@types/prismjs/-/prismjs-1.26.3.tgz",
-      "integrity": "sha512-A0D0aTXvjlqJ5ZILMz3rNfDBOx9hHxLZYv2by47Sm/pqW35zzjusrZTryatjN/Rf8Us2gZrJD+KeHbUSTux1Cw=="
+      "version": "1.26.4",
+      "resolved": "https://registry.npmjs.org/@types/prismjs/-/prismjs-1.26.4.tgz",
+      "integrity": "sha512-rlAnzkW2sZOjbqZ743IHUhFcvzaGbqijwOu8QZnZCjfQzBqFE3s4lOTJEsxikImav9uzz/42I+O7YUs1mWgMlg=="
     },
     "node_modules/@types/prop-types": {
-      "version": "15.7.11",
-      "resolved": "https://registry.npmjs.org/@types/prop-types/-/prop-types-15.7.11.tgz",
-      "integrity": "sha512-ga8y9v9uyeiLdpKddhxYQkxNDrfvuPrlFb0N1qnZZByvcElJaXthF1UhvCh9TLWJBEHeNtdnbysW7Y6Uq8CVng=="
+      "version": "15.7.12",
+      "resolved": "https://registry.npmjs.org/@types/prop-types/-/prop-types-15.7.12.tgz",
+      "integrity": "sha512-5zvhXYtRNRluoE/jAp4GVsSduVUzNWKkOZrCDBWYtE7biZywwdC2AcEzg+cSMLFRfVgeAFqpfNabiPjxFddV1Q=="
     },
     "node_modules/@types/qs": {
-      "version": "6.9.11",
-      "resolved": "https://registry.npmjs.org/@types/qs/-/qs-6.9.11.tgz",
-      "integrity": "sha512-oGk0gmhnEJK4Yyk+oI7EfXsLayXatCWPHary1MtcmbAifkobT9cM9yutG/hZKIseOU0MqbIwQ/u2nn/Gb+ltuQ=="
+      "version": "6.9.15",
+      "resolved": "https://registry.npmjs.org/@types/qs/-/qs-6.9.15.tgz",
+      "integrity": "sha512-uXHQKES6DQKKCLh441Xv/dwxOq1TVS3JPUMlEqoEglvlhR6Mxnlew/Xq/LRVHpLyk7iK3zODe1qYHIMltO7XGg=="
     },
     "node_modules/@types/range-parser": {
       "version": "1.2.7",
@@ -4425,12 +4308,11 @@
       "integrity": "sha512-hKormJbkJqzQGhziax5PItDUTMAM9uE2XXQmM37dyd4hVM+5aVl7oVxMVUiVQn2oCQFN/LKCZdvSM0pFRqbSmQ=="
     },
     "node_modules/@types/react": {
-      "version": "18.2.46",
-      "resolved": "https://registry.npmjs.org/@types/react/-/react-18.2.46.tgz",
-      "integrity": "sha512-nNCvVBcZlvX4NU1nRRNV/mFl1nNRuTuslAJglQsq+8ldXe5Xv0Wd2f7WTE3jOxhLH2BFfiZGC6GCp+kHQbgG+w==",
+      "version": "18.3.3",
+      "resolved": "https://registry.npmjs.org/@types/react/-/react-18.3.3.tgz",
+      "integrity": "sha512-hti/R0pS0q1/xx+TsI73XIqk26eBsISZ2R0wUijXIngRK9R/e7Xw/cXVxQK7R5JjW+SV4zGcn5hXjudkN/pLIw==",
       "dependencies": {
         "@types/prop-types": "*",
-        "@types/scheduler": "*",
         "csstype": "^3.0.2"
       }
     },
@@ -4476,11 +4358,6 @@
         "@types/node": "*"
       }
     },
-    "node_modules/@types/scheduler": {
-      "version": "0.16.8",
-      "resolved": "https://registry.npmjs.org/@types/scheduler/-/scheduler-0.16.8.tgz",
-      "integrity": "sha512-WZLiwShhwLRmeV6zH+GkbOFT6Z6VklCItrDioxUnv+u4Ll+8vKeFySoFyK/0ctcRpOmwAicELfmys1sDc/Rw+A=="
-    },
     "node_modules/@types/send": {
       "version": "0.17.4",
       "resolved": "https://registry.npmjs.org/@types/send/-/send-0.17.4.tgz",
@@ -4499,13 +4376,13 @@
       }
     },
     "node_modules/@types/serve-static": {
-      "version": "1.15.5",
-      "resolved": "https://registry.npmjs.org/@types/serve-static/-/serve-static-1.15.5.tgz",
-      "integrity": "sha512-PDRk21MnK70hja/YF8AHfC7yIsiQHn1rcXx7ijCFBX/k+XQJhQT/gw3xekXKJvx+5SXaMMS8oqQy09Mzvz2TuQ==",
+      "version": "1.15.7",
+      "resolved": "https://registry.npmjs.org/@types/serve-static/-/serve-static-1.15.7.tgz",
+      "integrity": "sha512-W8Ym+h8nhuRwaKPaDw34QUkwsGi6Rc4yYqvKFo5rm2FUEhCFbzVWrxXUxuKK8TASjWsysJY0nsmNCGhCOIsrOw==",
       "dependencies": {
         "@types/http-errors": "*",
-        "@types/mime": "*",
-        "@types/node": "*"
+        "@types/node": "*",
+        "@types/send": "*"
       }
     },
     "node_modules/@types/sockjs": {
@@ -4563,9 +4440,9 @@
       "integrity": "sha512-zuVdFrMJiuCDQUMCzQaD6KL28MjnqqN8XnAqiEq9PNm/hCPTSGfrXCOfwj1ow4LFb/tNymJPwsNbVePc1xFqrQ=="
     },
     "node_modules/@webassemblyjs/ast": {
-      "version": "1.11.6",
-      "resolved": "https://registry.npmjs.org/@webassemblyjs/ast/-/ast-1.11.6.tgz",
-      "integrity": "sha512-IN1xI7PwOvLPgjcf180gC1bqn3q/QaOCwYUahIOhbYUu8KA/3tw2RT/T0Gidi1l7Hhj5D/INhJxiICObqpMu4Q==",
+      "version": "1.12.1",
+      "resolved": "https://registry.npmjs.org/@webassemblyjs/ast/-/ast-1.12.1.tgz",
+      "integrity": "sha512-EKfMUOPRRUTy5UII4qJDGPpqfwjOmZ5jeGFwid9mnoqIFK+e0vqoi1qH56JpmZSzEL53jKnNzScdmftJyG5xWg==",
       "dependencies": {
         "@webassemblyjs/helper-numbers": "1.11.6",
         "@webassemblyjs/helper-wasm-bytecode": "1.11.6"
@@ -4582,9 +4459,9 @@
       "integrity": "sha512-o0YkoP4pVu4rN8aTJgAyj9hC2Sv5UlkzCHhxqWj8butaLvnpdc2jOwh4ewE6CX0txSfLn/UYaV/pheS2Txg//Q=="
     },
     "node_modules/@webassemblyjs/helper-buffer": {
-      "version": "1.11.6",
-      "resolved": "https://registry.npmjs.org/@webassemblyjs/helper-buffer/-/helper-buffer-1.11.6.tgz",
-      "integrity": "sha512-z3nFzdcp1mb8nEOFFk8DrYLpHvhKC3grJD2ardfKOzmbmJvEf/tPIqCY+sNcwZIY8ZD7IkB2l7/pqhUhqm7hLA=="
+      "version": "1.12.1",
+      "resolved": "https://registry.npmjs.org/@webassemblyjs/helper-buffer/-/helper-buffer-1.12.1.tgz",
+      "integrity": "sha512-nzJwQw99DNDKr9BVCOZcLuJJUlqkJh+kVzVl6Fmq/tI5ZtEyWT1KZMyOXltXLZJmDtvLCDgwsyrkohEtopTXCw=="
     },
     "node_modules/@webassemblyjs/helper-numbers": {
       "version": "1.11.6",
@@ -4602,14 +4479,14 @@
       "integrity": "sha512-sFFHKwcmBprO9e7Icf0+gddyWYDViL8bpPjJJl0WHxCdETktXdmtWLGVzoHbqUcY4Be1LkNfwTmXOJUFZYSJdA=="
     },
     "node_modules/@webassemblyjs/helper-wasm-section": {
-      "version": "1.11.6",
-      "resolved": "https://registry.npmjs.org/@webassemblyjs/helper-wasm-section/-/helper-wasm-section-1.11.6.tgz",
-      "integrity": "sha512-LPpZbSOwTpEC2cgn4hTydySy1Ke+XEu+ETXuoyvuyezHO3Kjdu90KK95Sh9xTbmjrCsUwvWwCOQQNta37VrS9g==",
+      "version": "1.12.1",
+      "resolved": "https://registry.npmjs.org/@webassemblyjs/helper-wasm-section/-/helper-wasm-section-1.12.1.tgz",
+      "integrity": "sha512-Jif4vfB6FJlUlSbgEMHUyk1j234GTNG9dBJ4XJdOySoj518Xj0oGsNi59cUQF4RRMS9ouBUxDDdyBVfPTypa5g==",
       "dependencies": {
-        "@webassemblyjs/ast": "1.11.6",
-        "@webassemblyjs/helper-buffer": "1.11.6",
+        "@webassemblyjs/ast": "1.12.1",
+        "@webassemblyjs/helper-buffer": "1.12.1",
         "@webassemblyjs/helper-wasm-bytecode": "1.11.6",
-        "@webassemblyjs/wasm-gen": "1.11.6"
+        "@webassemblyjs/wasm-gen": "1.12.1"
       }
     },
     "node_modules/@webassemblyjs/ieee754": {
@@ -4634,26 +4511,26 @@
       "integrity": "sha512-vtXf2wTQ3+up9Zsg8sa2yWiQpzSsMyXj0qViVP6xKGCUT8p8YJ6HqI7l5eCnWx1T/FYdsv07HQs2wTFbbof/RA=="
     },
     "node_modules/@webassemblyjs/wasm-edit": {
-      "version": "1.11.6",
-      "resolved": "https://registry.npmjs.org/@webassemblyjs/wasm-edit/-/wasm-edit-1.11.6.tgz",
-      "integrity": "sha512-Ybn2I6fnfIGuCR+Faaz7YcvtBKxvoLV3Lebn1tM4o/IAJzmi9AWYIPWpyBfU8cC+JxAO57bk4+zdsTjJR+VTOw==",
+      "version": "1.12.1",
+      "resolved": "https://registry.npmjs.org/@webassemblyjs/wasm-edit/-/wasm-edit-1.12.1.tgz",
+      "integrity": "sha512-1DuwbVvADvS5mGnXbE+c9NfA8QRcZ6iKquqjjmR10k6o+zzsRVesil54DKexiowcFCPdr/Q0qaMgB01+SQ1u6g==",
       "dependencies": {
-        "@webassemblyjs/ast": "1.11.6",
-        "@webassemblyjs/helper-buffer": "1.11.6",
+        "@webassemblyjs/ast": "1.12.1",
+        "@webassemblyjs/helper-buffer": "1.12.1",
         "@webassemblyjs/helper-wasm-bytecode": "1.11.6",
-        "@webassemblyjs/helper-wasm-section": "1.11.6",
-        "@webassemblyjs/wasm-gen": "1.11.6",
-        "@webassemblyjs/wasm-opt": "1.11.6",
-        "@webassemblyjs/wasm-parser": "1.11.6",
-        "@webassemblyjs/wast-printer": "1.11.6"
+        "@webassemblyjs/helper-wasm-section": "1.12.1",
+        "@webassemblyjs/wasm-gen": "1.12.1",
+        "@webassemblyjs/wasm-opt": "1.12.1",
+        "@webassemblyjs/wasm-parser": "1.12.1",
+        "@webassemblyjs/wast-printer": "1.12.1"
       }
     },
     "node_modules/@webassemblyjs/wasm-gen": {
-      "version": "1.11.6",
-      "resolved": "https://registry.npmjs.org/@webassemblyjs/wasm-gen/-/wasm-gen-1.11.6.tgz",
-      "integrity": "sha512-3XOqkZP/y6B4F0PBAXvI1/bky7GryoogUtfwExeP/v7Nzwo1QLcq5oQmpKlftZLbT+ERUOAZVQjuNVak6UXjPA==",
+      "version": "1.12.1",
+      "resolved": "https://registry.npmjs.org/@webassemblyjs/wasm-gen/-/wasm-gen-1.12.1.tgz",
+      "integrity": "sha512-TDq4Ojh9fcohAw6OIMXqiIcTq5KUXTGRkVxbSo1hQnSy6lAM5GSdfwWeSxpAo0YzgsgF182E/U0mDNhuA0tW7w==",
       "dependencies": {
-        "@webassemblyjs/ast": "1.11.6",
+        "@webassemblyjs/ast": "1.12.1",
         "@webassemblyjs/helper-wasm-bytecode": "1.11.6",
         "@webassemblyjs/ieee754": "1.11.6",
         "@webassemblyjs/leb128": "1.11.6",
@@ -4661,22 +4538,22 @@
       }
     },
     "node_modules/@webassemblyjs/wasm-opt": {
-      "version": "1.11.6",
-      "resolved": "https://registry.npmjs.org/@webassemblyjs/wasm-opt/-/wasm-opt-1.11.6.tgz",
-      "integrity": "sha512-cOrKuLRE7PCe6AsOVl7WasYf3wbSo4CeOk6PkrjS7g57MFfVUF9u6ysQBBODX0LdgSvQqRiGz3CXvIDKcPNy4g==",
+      "version": "1.12.1",
+      "resolved": "https://registry.npmjs.org/@webassemblyjs/wasm-opt/-/wasm-opt-1.12.1.tgz",
+      "integrity": "sha512-Jg99j/2gG2iaz3hijw857AVYekZe2SAskcqlWIZXjji5WStnOpVoat3gQfT/Q5tb2djnCjBtMocY/Su1GfxPBg==",
       "dependencies": {
-        "@webassemblyjs/ast": "1.11.6",
-        "@webassemblyjs/helper-buffer": "1.11.6",
-        "@webassemblyjs/wasm-gen": "1.11.6",
-        "@webassemblyjs/wasm-parser": "1.11.6"
+        "@webassemblyjs/ast": "1.12.1",
+        "@webassemblyjs/helper-buffer": "1.12.1",
+        "@webassemblyjs/wasm-gen": "1.12.1",
+        "@webassemblyjs/wasm-parser": "1.12.1"
       }
     },
     "node_modules/@webassemblyjs/wasm-parser": {
-      "version": "1.11.6",
-      "resolved": "https://registry.npmjs.org/@webassemblyjs/wasm-parser/-/wasm-parser-1.11.6.tgz",
-      "integrity": "sha512-6ZwPeGzMJM3Dqp3hCsLgESxBGtT/OeCvCZ4TA1JUPYgmhAx38tTPR9JaKy0S5H3evQpO/h2uWs2j6Yc/fjkpTQ==",
+      "version": "1.12.1",
+      "resolved": "https://registry.npmjs.org/@webassemblyjs/wasm-parser/-/wasm-parser-1.12.1.tgz",
+      "integrity": "sha512-xikIi7c2FHXysxXe3COrVUPSheuBtpcfhbpFj4gmu7KRLYOzANztwUU0IbsqvMqzuNK2+glRGWCEqZo1WCLyAQ==",
       "dependencies": {
-        "@webassemblyjs/ast": "1.11.6",
+        "@webassemblyjs/ast": "1.12.1",
         "@webassemblyjs/helper-api-error": "1.11.6",
         "@webassemblyjs/helper-wasm-bytecode": "1.11.6",
         "@webassemblyjs/ieee754": "1.11.6",
@@ -4685,11 +4562,11 @@
       }
     },
     "node_modules/@webassemblyjs/wast-printer": {
-      "version": "1.11.6",
-      "resolved": "https://registry.npmjs.org/@webassemblyjs/wast-printer/-/wast-printer-1.11.6.tgz",
-      "integrity": "sha512-JM7AhRcE+yW2GWYaKeHL5vt4xqee5N2WcezptmgyhNS+ScggqcT1OtXykhAb13Sn5Yas0j2uv9tHgrjwvzAP4A==",
+      "version": "1.12.1",
+      "resolved": "https://registry.npmjs.org/@webassemblyjs/wast-printer/-/wast-printer-1.12.1.tgz",
+      "integrity": "sha512-+X4WAlOisVWQMikjbcvY2e0rwPsKQ9F688lksZhBcPycBBuii3O7m8FACbDMWDojpAqvjIncrG8J0XHKyQfVeA==",
       "dependencies": {
-        "@webassemblyjs/ast": "1.11.6",
+        "@webassemblyjs/ast": "1.12.1",
         "@xtuc/long": "4.2.2"
       }
     },
@@ -4741,9 +4618,9 @@
       }
     },
     "node_modules/acorn": {
-      "version": "8.11.3",
-      "resolved": "https://registry.npmjs.org/acorn/-/acorn-8.11.3.tgz",
-      "integrity": "sha512-Y9rRfJG5jcKOE0CLisYbojUjIrIEE7AGMzA/Sm4BslANhbS+cDMpgBdcPT91oJ7OuJ9hYJBx59RjbhxVnrF8Xg==",
+      "version": "8.12.0",
+      "resolved": "https://registry.npmjs.org/acorn/-/acorn-8.12.0.tgz",
+      "integrity": "sha512-RTvkC4w+KNXrM39/lWCUaG0IbRkWdCv7W/IOW9oU6SawyxulvkQy5HQPVTKxEjczcUvapcrw3cFx/60VN/NRNw==",
       "bin": {
         "acorn": "bin/acorn"
       },
@@ -4751,10 +4628,10 @@
         "node": ">=0.4.0"
       }
     },
-    "node_modules/acorn-import-assertions": {
-      "version": "1.9.0",
-      "resolved": "https://registry.npmjs.org/acorn-import-assertions/-/acorn-import-assertions-1.9.0.tgz",
-      "integrity": "sha512-cmMwop9x+8KFhxvKrKfPYmN6/pKTYYHBqLa0DfvVZcKMJWNyWLnaqND7dx/qn66R7ewM1UX5XMaDVP5wlVTaVA==",
+    "node_modules/acorn-import-attributes": {
+      "version": "1.9.5",
+      "resolved": "https://registry.npmjs.org/acorn-import-attributes/-/acorn-import-attributes-1.9.5.tgz",
+      "integrity": "sha512-n02Vykv5uA3eHGM/Z2dQrcD56kL8TyDb2p1+0P83PClMnC/nc+anbQRhIOWnSq4Ke/KvDPrY3C9hDtC/A3eHnQ==",
       "peerDependencies": {
         "acorn": "^8"
       }
@@ -4768,9 +4645,12 @@
       }
     },
     "node_modules/acorn-walk": {
-      "version": "8.3.1",
-      "resolved": "https://registry.npmjs.org/acorn-walk/-/acorn-walk-8.3.1.tgz",
-      "integrity": "sha512-TgUZgYvqZprrl7YldZNoa9OciCAyZR+Ejm9eXzKCmjsF5IKp/wgQ7Z/ZpjpGTIUPwrHQIcYeI8qDh4PsEwxMbw==",
+      "version": "8.3.3",
+      "resolved": "https://registry.npmjs.org/acorn-walk/-/acorn-walk-8.3.3.tgz",
+      "integrity": "sha512-MxXdReSRhGO7VlFe1bRG/oI7/mdLV9B9JJT0N8vZOhF7gFRR5l3M8W9G8JxmKV+JC5mGqJ0QvqfSOLsCPa4nUw==",
+      "dependencies": {
+        "acorn": "^8.11.0"
+      },
       "engines": {
         "node": ">=0.4.0"
       }
@@ -4820,14 +4700,14 @@
       }
     },
     "node_modules/ajv": {
-      "version": "8.12.0",
-      "resolved": "https://registry.npmjs.org/ajv/-/ajv-8.12.0.tgz",
-      "integrity": "sha512-sRu1kpcO9yLtYxBKvqfTeh9KzZEwO3STyX1HT+4CaDzC6HpTGYhIhPIzj9XuKU7KYDwnaeh5hcOwjy1QuJzBPA==",
+      "version": "8.16.0",
+      "resolved": "https://registry.npmjs.org/ajv/-/ajv-8.16.0.tgz",
+      "integrity": "sha512-F0twR8U1ZU67JIEtekUcLkXkoO5mMMmgGD8sK/xUFzJ805jxHQl92hImFAqqXMyMYjSPOyUPAwHYhB72g5sTXw==",
       "dependencies": {
-        "fast-deep-equal": "^3.1.1",
+        "fast-deep-equal": "^3.1.3",
         "json-schema-traverse": "^1.0.0",
         "require-from-string": "^2.0.2",
-        "uri-js": "^4.2.2"
+        "uri-js": "^4.4.1"
       },
       "funding": {
         "type": "github",
@@ -4862,30 +4742,31 @@
       }
     },
     "node_modules/algoliasearch": {
-      "version": "4.22.0",
-      "resolved": "https://registry.npmjs.org/algoliasearch/-/algoliasearch-4.22.0.tgz",
-      "integrity": "sha512-gfceltjkwh7PxXwtkS8KVvdfK+TSNQAWUeNSxf4dA29qW5tf2EGwa8jkJujlT9jLm17cixMVoGNc+GJFO1Mxhg==",
-      "dependencies": {
-        "@algolia/cache-browser-local-storage": "4.22.0",
-        "@algolia/cache-common": "4.22.0",
-        "@algolia/cache-in-memory": "4.22.0",
-        "@algolia/client-account": "4.22.0",
-        "@algolia/client-analytics": "4.22.0",
-        "@algolia/client-common": "4.22.0",
-        "@algolia/client-personalization": "4.22.0",
-        "@algolia/client-search": "4.22.0",
-        "@algolia/logger-common": "4.22.0",
-        "@algolia/logger-console": "4.22.0",
-        "@algolia/requester-browser-xhr": "4.22.0",
-        "@algolia/requester-common": "4.22.0",
-        "@algolia/requester-node-http": "4.22.0",
-        "@algolia/transporter": "4.22.0"
+      "version": "4.23.3",
+      "resolved": "https://registry.npmjs.org/algoliasearch/-/algoliasearch-4.23.3.tgz",
+      "integrity": "sha512-Le/3YgNvjW9zxIQMRhUHuhiUjAlKY/zsdZpfq4dlLqg6mEm0nL6yk+7f2hDOtLpxsgE4jSzDmvHL7nXdBp5feg==",
+      "dependencies": {
+        "@algolia/cache-browser-local-storage": "4.23.3",
+        "@algolia/cache-common": "4.23.3",
+        "@algolia/cache-in-memory": "4.23.3",
+        "@algolia/client-account": "4.23.3",
+        "@algolia/client-analytics": "4.23.3",
+        "@algolia/client-common": "4.23.3",
+        "@algolia/client-personalization": "4.23.3",
+        "@algolia/client-search": "4.23.3",
+        "@algolia/logger-common": "4.23.3",
+        "@algolia/logger-console": "4.23.3",
+        "@algolia/recommend": "4.23.3",
+        "@algolia/requester-browser-xhr": "4.23.3",
+        "@algolia/requester-common": "4.23.3",
+        "@algolia/requester-node-http": "4.23.3",
+        "@algolia/transporter": "4.23.3"
       }
     },
     "node_modules/algoliasearch-helper": {
-      "version": "3.16.1",
-      "resolved": "https://registry.npmjs.org/algoliasearch-helper/-/algoliasearch-helper-3.16.1.tgz",
-      "integrity": "sha512-qxAHVjjmT7USVvrM8q6gZGaJlCK1fl4APfdAA7o8O6iXEc68G0xMNrzRkxoB/HmhhvyHnoteS/iMTiHiTcQQcg==",
+      "version": "3.22.0",
+      "resolved": "https://registry.npmjs.org/algoliasearch-helper/-/algoliasearch-helper-3.22.0.tgz",
+      "integrity": "sha512-ZIVcE0929m2g00GuMiRWpemsGW3589qYxIcQonB7ms4B/KoeS94OiqPRMJ9hGoL23SlYJOmMNjZyXSoItDXO1w==",
       "dependencies": {
         "@algolia/events": "^4.0.1"
       },
@@ -4976,6 +4857,7 @@
       "version": "3.0.1",
       "resolved": "https://registry.npmjs.org/are-we-there-yet/-/are-we-there-yet-3.0.1.tgz",
       "integrity": "sha512-QZW4EDmGwlYur0Yyf/b2uGucHQMa8aFUP7eu9ddR73vvhFyt4V0Vl3QHPcTNJ8l6qYOBdxgXdnBXQrHilfRQBg==",
+      "deprecated": "This package is no longer supported.",
       "dev": true,
       "dependencies": {
         "delegates": "^1.0.0",
@@ -4996,9 +4878,9 @@
       "integrity": "sha512-8+9WqebbFzpX9OR+Wa6O29asIogeRMzcGtAINdpMHHyAg10f05aSFVBbcEqGf/PXw1EjAZ+q2/bEBg3DvurK3Q=="
     },
     "node_modules/array-flatten": {
-      "version": "2.1.2",
-      "resolved": "https://registry.npmjs.org/array-flatten/-/array-flatten-2.1.2.tgz",
-      "integrity": "sha512-hNfzcOV8W4NdualtqBFPyVO+54DSJuZGY9qT4pRroB6S9e3iiido2ISIC5h9R2sPJ8H3FHCIiEnsv1lPXO3KtQ=="
+      "version": "1.1.1",
+      "resolved": "https://registry.npmjs.org/array-flatten/-/array-flatten-1.1.1.tgz",
+      "integrity": "sha512-PCVAQswWemu6UdxsDFFX/+gVeYqKAod3D3UVm91jHwynguOwAvYPhx8nNlM++NqRcK6CxxpUafjmhIdKiHibqg=="
     },
     "node_modules/array-union": {
       "version": "2.1.0",
@@ -5018,15 +4900,14 @@
       }
     },
     "node_modules/asn1.js": {
-      "version": "5.4.1",
-      "resolved": "https://registry.npmjs.org/asn1.js/-/asn1.js-5.4.1.tgz",
-      "integrity": "sha512-+I//4cYPccV8LdmBLiX8CYvf9Sp3vQsrqu2QNXRcrbiWvcx/UdlFiqUJJzxRQxgsZmvhXhn4cSKeSmoFjVdupA==",
+      "version": "4.10.1",
+      "resolved": "https://registry.npmjs.org/asn1.js/-/asn1.js-4.10.1.tgz",
+      "integrity": "sha512-p32cOF5q0Zqs9uBiONKYLm6BClCoBCM5O9JfeUSlnQLBTxYdTK+pW+nXflm8UkKd2UYlEbYz5qEi0JuZR9ckSw==",
       "dev": true,
       "dependencies": {
         "bn.js": "^4.0.0",
         "inherits": "^2.0.1",
-        "minimalistic-assert": "^1.0.0",
-        "safer-buffer": "^2.1.0"
+        "minimalistic-assert": "^1.0.0"
       }
     },
     "node_modules/asn1.js/node_modules/bn.js": {
@@ -5074,9 +4955,9 @@
       }
     },
     "node_modules/autoprefixer": {
-      "version": "10.4.16",
-      "resolved": "https://registry.npmjs.org/autoprefixer/-/autoprefixer-10.4.16.tgz",
-      "integrity": "sha512-7vd3UC6xKp0HLfua5IjZlcXvGAGy7cBAXTg2lyQ/8WpNhd6SiZ8Be+xm3FyBSYJx5GKcpRCzBh7RH4/0dnY+uQ==",
+      "version": "10.4.19",
+      "resolved": "https://registry.npmjs.org/autoprefixer/-/autoprefixer-10.4.19.tgz",
+      "integrity": "sha512-BaENR2+zBZ8xXhM4pUaKUxlVdxZ0EZhjvbopwnXmxRUfqDmwSpC2lAi/QXvx7NRdPCo1WKEcEF6mV64si1z4Ew==",
       "funding": [
         {
           "type": "opencollective",
@@ -5092,9 +4973,9 @@
         }
       ],
       "dependencies": {
-        "browserslist": "^4.21.10",
-        "caniuse-lite": "^1.0.30001538",
-        "fraction.js": "^4.3.6",
+        "browserslist": "^4.23.0",
+        "caniuse-lite": "^1.0.30001599",
+        "fraction.js": "^4.3.7",
         "normalize-range": "^0.1.2",
         "picocolors": "^1.0.0",
         "postcss-value-parser": "^4.2.0"
@@ -5110,10 +4991,13 @@
       }
     },
     "node_modules/available-typed-arrays": {
-      "version": "1.0.5",
-      "resolved": "https://registry.npmjs.org/available-typed-arrays/-/available-typed-arrays-1.0.5.tgz",
-      "integrity": "sha512-DMD0KiN46eipeziST1LPP/STfDU0sufISXmjSgvVsoU2tqxctQeASejWcfNtxYKqETM1UxQ8sp2OrSBWpHY6sw==",
+      "version": "1.0.7",
+      "resolved": "https://registry.npmjs.org/available-typed-arrays/-/available-typed-arrays-1.0.7.tgz",
+      "integrity": "sha512-wvUjBtSGN7+7SjNpq/9M2Tg350UZD3q62IFZLbRAR1bSMlCo1ZaeW+BJ+D090e4hIIZLBcTDWe4Mh4jvUDajzQ==",
       "dev": true,
+      "dependencies": {
+        "possible-typed-array-names": "^1.0.0"
+      },
       "engines": {
         "node": ">= 0.4"
       },
@@ -5122,9 +5006,9 @@
       }
     },
     "node_modules/b4a": {
-      "version": "1.6.4",
-      "resolved": "https://registry.npmjs.org/b4a/-/b4a-1.6.4.tgz",
-      "integrity": "sha512-fpWrvyVHEKyeEvbKZTVOeZF3VSKKWtJxFIxX/jaVPf+cLbGUSitjb49pHLqPV2BUNNZ0LcoeEGfE/YCpyDYHIw=="
+      "version": "1.6.6",
+      "resolved": "https://registry.npmjs.org/b4a/-/b4a-1.6.6.tgz",
+      "integrity": "sha512-5Tk1HLk6b6ctmjIkAcU/Ujv/1WqiDl0F0JdRCR80VsOcUlHcu7pWeWRlOqQLHfDEsVx9YH/aif5AG4ehoCtTmg=="
     },
     "node_modules/babel-loader": {
       "version": "9.1.3",
@@ -5151,12 +5035,12 @@
       }
     },
     "node_modules/babel-plugin-polyfill-corejs2": {
-      "version": "0.4.7",
-      "resolved": "https://registry.npmjs.org/babel-plugin-polyfill-corejs2/-/babel-plugin-polyfill-corejs2-0.4.7.tgz",
-      "integrity": "sha512-LidDk/tEGDfuHW2DWh/Hgo4rmnw3cduK6ZkOI1NPFceSK3n/yAGeOsNT7FLnSGHkXj3RHGSEVkN3FsCTY6w2CQ==",
+      "version": "0.4.11",
+      "resolved": "https://registry.npmjs.org/babel-plugin-polyfill-corejs2/-/babel-plugin-polyfill-corejs2-0.4.11.tgz",
+      "integrity": "sha512-sMEJ27L0gRHShOh5G54uAAPaiCOygY/5ratXuiyb2G46FmlSpc9eFCzYVyDiPxfNbwzA7mYahmjQc5q+CZQ09Q==",
       "dependencies": {
         "@babel/compat-data": "^7.22.6",
-        "@babel/helper-define-polyfill-provider": "^0.4.4",
+        "@babel/helper-define-polyfill-provider": "^0.6.2",
         "semver": "^6.3.1"
       },
       "peerDependencies": {
@@ -5164,23 +5048,23 @@
       }
     },
     "node_modules/babel-plugin-polyfill-corejs3": {
-      "version": "0.8.7",
-      "resolved": "https://registry.npmjs.org/babel-plugin-polyfill-corejs3/-/babel-plugin-polyfill-corejs3-0.8.7.tgz",
-      "integrity": "sha512-KyDvZYxAzkC0Aj2dAPyDzi2Ym15e5JKZSK+maI7NAwSqofvuFglbSsxE7wUOvTg9oFVnHMzVzBKcqEb4PJgtOA==",
+      "version": "0.10.4",
+      "resolved": "https://registry.npmjs.org/babel-plugin-polyfill-corejs3/-/babel-plugin-polyfill-corejs3-0.10.4.tgz",
+      "integrity": "sha512-25J6I8NGfa5YkCDogHRID3fVCadIR8/pGl1/spvCkzb6lVn6SR3ojpx9nOn9iEBcUsjY24AmdKm5khcfKdylcg==",
       "dependencies": {
-        "@babel/helper-define-polyfill-provider": "^0.4.4",
-        "core-js-compat": "^3.33.1"
+        "@babel/helper-define-polyfill-provider": "^0.6.1",
+        "core-js-compat": "^3.36.1"
       },
       "peerDependencies": {
         "@babel/core": "^7.4.0 || ^8.0.0-0 <8.0.0"
       }
     },
     "node_modules/babel-plugin-polyfill-regenerator": {
-      "version": "0.5.4",
-      "resolved": "https://registry.npmjs.org/babel-plugin-polyfill-regenerator/-/babel-plugin-polyfill-regenerator-0.5.4.tgz",
-      "integrity": "sha512-S/x2iOCvDaCASLYsOOgWOq4bCfKYVqvO/uxjkaYyZ3rVsVE3CeAI/c84NpyuBBymEgNvHgjEot3a9/Z/kXvqsg==",
+      "version": "0.6.2",
+      "resolved": "https://registry.npmjs.org/babel-plugin-polyfill-regenerator/-/babel-plugin-polyfill-regenerator-0.6.2.tgz",
+      "integrity": "sha512-2R25rQZWP63nGwaAswvDazbPXfrM3HwVoBXK6HcqeKrSrL/JqcC/rDcf95l4r7LXLyxDXc8uQDa064GubtCABg==",
       "dependencies": {
-        "@babel/helper-define-polyfill-provider": "^0.4.4"
+        "@babel/helper-define-polyfill-provider": "^0.6.2"
       },
       "peerDependencies": {
         "@babel/core": "^7.4.0 || ^8.0.0-0 <8.0.0"
@@ -5200,6 +5084,47 @@
       "resolved": "https://registry.npmjs.org/balanced-match/-/balanced-match-1.0.2.tgz",
       "integrity": "sha512-3oSeUO0TMV67hN1AmbXsK4yaqU7tjiHlbxRDZOpH0KW9+CeX4bRAaX0Anxt0tx2MrpRpWwQaPwIlISEJhYU5Pw=="
     },
+    "node_modules/bare-events": {
+      "version": "2.4.2",
+      "resolved": "https://registry.npmjs.org/bare-events/-/bare-events-2.4.2.tgz",
+      "integrity": "sha512-qMKFd2qG/36aA4GwvKq8MxnPgCQAmBWmSyLWsJcbn8v03wvIPQ/hG1Ms8bPzndZxMDoHpxez5VOS+gC9Yi24/Q==",
+      "optional": true
+    },
+    "node_modules/bare-fs": {
+      "version": "2.3.1",
+      "resolved": "https://registry.npmjs.org/bare-fs/-/bare-fs-2.3.1.tgz",
+      "integrity": "sha512-W/Hfxc/6VehXlsgFtbB5B4xFcsCl+pAh30cYhoFyXErf6oGrwjh8SwiPAdHgpmWonKuYpZgGywN0SXt7dgsADA==",
+      "optional": true,
+      "dependencies": {
+        "bare-events": "^2.0.0",
+        "bare-path": "^2.0.0",
+        "bare-stream": "^2.0.0"
+      }
+    },
+    "node_modules/bare-os": {
+      "version": "2.4.0",
+      "resolved": "https://registry.npmjs.org/bare-os/-/bare-os-2.4.0.tgz",
+      "integrity": "sha512-v8DTT08AS/G0F9xrhyLtepoo9EJBJ85FRSMbu1pQUlAf6A8T0tEEQGMVObWeqpjhSPXsE0VGlluFBJu2fdoTNg==",
+      "optional": true
+    },
+    "node_modules/bare-path": {
+      "version": "2.1.3",
+      "resolved": "https://registry.npmjs.org/bare-path/-/bare-path-2.1.3.tgz",
+      "integrity": "sha512-lh/eITfU8hrj9Ru5quUp0Io1kJWIk1bTjzo7JH1P5dWmQ2EL4hFUlfI8FonAhSlgIfhn63p84CDY/x+PisgcXA==",
+      "optional": true,
+      "dependencies": {
+        "bare-os": "^2.1.0"
+      }
+    },
+    "node_modules/bare-stream": {
+      "version": "2.1.3",
+      "resolved": "https://registry.npmjs.org/bare-stream/-/bare-stream-2.1.3.tgz",
+      "integrity": "sha512-tiDAH9H/kP+tvNO5sczyn9ZAA7utrSMobyDchsnyyXBuUe2FSQWbxhtuHB8jwpHYYevVo2UJpcmvvjrbHboUUQ==",
+      "optional": true,
+      "dependencies": {
+        "streamx": "^2.18.0"
+      }
+    },
     "node_modules/base64-js": {
       "version": "1.5.1",
       "resolved": "https://registry.npmjs.org/base64-js/-/base64-js-1.5.1.tgz",
@@ -5233,11 +5158,14 @@
       }
     },
     "node_modules/binary-extensions": {
-      "version": "2.2.0",
-      "resolved": "https://registry.npmjs.org/binary-extensions/-/binary-extensions-2.2.0.tgz",
-      "integrity": "sha512-jDctJ/IVQbZoJykoeHbhXpOlNBqGNcwXJKJog42E5HDPUwQTSdjCHdihjj0DlnheQ7blbT6dHOafNAiS8ooQKA==",
+      "version": "2.3.0",
+      "resolved": "https://registry.npmjs.org/binary-extensions/-/binary-extensions-2.3.0.tgz",
+      "integrity": "sha512-Ceh+7ox5qe7LJuLHoY0feh3pHuUDHAcRUeyL2VYghZwfpkNIy/+8Ocg0a3UuSoYzavmylwuLWQOf3hl0jjMMIw==",
       "engines": {
         "node": ">=8"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
       }
     },
     "node_modules/bl": {
@@ -5285,12 +5213,12 @@
       "dev": true
     },
     "node_modules/body-parser": {
-      "version": "1.20.1",
-      "resolved": "https://registry.npmjs.org/body-parser/-/body-parser-1.20.1.tgz",
-      "integrity": "sha512-jWi7abTbYwajOytWCQc37VulmWiRae5RyTpaCyDcS5/lMdtwSz5lOpDE67srw/HYe35f1z3fDQw+3txg7gNtWw==",
+      "version": "1.20.2",
+      "resolved": "https://registry.npmjs.org/body-parser/-/body-parser-1.20.2.tgz",
+      "integrity": "sha512-ml9pReCu3M61kGlqoTm2umSXTlRTuGTx0bfYj+uIUKKYycG5NtSbeetV3faSU6R7ajOPw0g/J1PvK4qNy7s5bA==",
       "dependencies": {
         "bytes": "3.1.2",
-        "content-type": "~1.0.4",
+        "content-type": "~1.0.5",
         "debug": "2.6.9",
         "depd": "2.0.0",
         "destroy": "1.2.0",
@@ -5298,7 +5226,7 @@
         "iconv-lite": "0.4.24",
         "on-finished": "2.4.1",
         "qs": "6.11.0",
-        "raw-body": "2.5.1",
+        "raw-body": "2.5.2",
         "type-is": "~1.6.18",
         "unpipe": "1.0.0"
       },
@@ -5354,12 +5282,10 @@
       }
     },
     "node_modules/bonjour-service": {
-      "version": "1.1.1",
-      "resolved": "https://registry.npmjs.org/bonjour-service/-/bonjour-service-1.1.1.tgz",
-      "integrity": "sha512-Z/5lQRMOG9k7W+FkeGTNjh7htqn/2LMnfOvBZ8pynNZCM9MwkQkI3zeI4oz09uWdcgmgHugVvBqxGg4VQJ5PCg==",
+      "version": "1.2.1",
+      "resolved": "https://registry.npmjs.org/bonjour-service/-/bonjour-service-1.2.1.tgz",
+      "integrity": "sha512-oSzCS2zV14bh2kji6vNe7vrpJYCHGvcZnlffFQ1MEoX/WOeQ/teD8SYWKR942OI3INjq8OMNJlbPK5LLLUxFDw==",
       "dependencies": {
-        "array-flatten": "^2.1.2",
-        "dns-equal": "^1.0.0",
         "fast-deep-equal": "^3.1.3",
         "multicast-dns": "^7.2.5"
       }
@@ -5464,11 +5390,11 @@
       }
     },
     "node_modules/braces": {
-      "version": "3.0.2",
-      "resolved": "https://registry.npmjs.org/braces/-/braces-3.0.2.tgz",
-      "integrity": "sha512-b8um+L1RzM3WDSzvhm6gIz1yfTbBt6YTlcEKAvsmqCZZFw46z626lVj9j1yEPW33H5H+lBQpZMP1k8l+78Ha0A==",
+      "version": "3.0.3",
+      "resolved": "https://registry.npmjs.org/braces/-/braces-3.0.3.tgz",
+      "integrity": "sha512-yQbXgO/OSZVD2IsiLlro+7Hf6Q18EJrKSEsdoMzKePKXct3gvD8oLcOQdIzGupr5Fj+EDe8gO/lxc1BzfMpxvA==",
       "dependencies": {
-        "fill-range": "^7.0.1"
+        "fill-range": "^7.1.1"
       },
       "engines": {
         "node": ">=8"
@@ -5528,25 +5454,68 @@
       }
     },
     "node_modules/browserify-sign": {
-      "version": "4.2.2",
-      "resolved": "https://registry.npmjs.org/browserify-sign/-/browserify-sign-4.2.2.tgz",
-      "integrity": "sha512-1rudGyeYY42Dk6texmv7c4VcQ0EsvVbLwZkA+AQB7SxvXxmcD93jcHie8bzecJ+ChDlmAm2Qyu0+Ccg5uhZXCg==",
+      "version": "4.2.3",
+      "resolved": "https://registry.npmjs.org/browserify-sign/-/browserify-sign-4.2.3.tgz",
+      "integrity": "sha512-JWCZW6SKhfhjJxO8Tyiiy+XYB7cqd2S5/+WeYHsKdNKFlCBhKbblba1A/HN/90YwtxKc8tCErjffZl++UNmGiw==",
       "dev": true,
       "dependencies": {
         "bn.js": "^5.2.1",
         "browserify-rsa": "^4.1.0",
         "create-hash": "^1.2.0",
         "create-hmac": "^1.1.7",
-        "elliptic": "^6.5.4",
+        "elliptic": "^6.5.5",
+        "hash-base": "~3.0",
         "inherits": "^2.0.4",
-        "parse-asn1": "^5.1.6",
-        "readable-stream": "^3.6.2",
+        "parse-asn1": "^5.1.7",
+        "readable-stream": "^2.3.8",
         "safe-buffer": "^5.2.1"
       },
       "engines": {
-        "node": ">= 4"
+        "node": ">= 0.12"
+      }
+    },
+    "node_modules/browserify-sign/node_modules/isarray": {
+      "version": "1.0.0",
+      "resolved": "https://registry.npmjs.org/isarray/-/isarray-1.0.0.tgz",
+      "integrity": "sha512-VLghIWNM6ELQzo7zwmcg0NmTVyWKYjvIeM83yjp0wRDTmUnrM678fQbcKBo6n2CJEF0szoG//ytg+TKla89ALQ==",
+      "dev": true
+    },
+    "node_modules/browserify-sign/node_modules/readable-stream": {
+      "version": "2.3.8",
+      "resolved": "https://registry.npmjs.org/readable-stream/-/readable-stream-2.3.8.tgz",
+      "integrity": "sha512-8p0AUk4XODgIewSi0l8Epjs+EVnWiK7NoDIEGU0HhE7+ZyY8D1IMY7odu5lRrFXGg71L15KG8QrPmum45RTtdA==",
+      "dev": true,
+      "dependencies": {
+        "core-util-is": "~1.0.0",
+        "inherits": "~2.0.3",
+        "isarray": "~1.0.0",
+        "process-nextick-args": "~2.0.0",
+        "safe-buffer": "~5.1.1",
+        "string_decoder": "~1.1.1",
+        "util-deprecate": "~1.0.1"
+      }
+    },
+    "node_modules/browserify-sign/node_modules/readable-stream/node_modules/safe-buffer": {
+      "version": "5.1.2",
+      "resolved": "https://registry.npmjs.org/safe-buffer/-/safe-buffer-5.1.2.tgz",
+      "integrity": "sha512-Gd2UZBJDkXlY7GbJxfsE8/nvKkUEU1G38c1siN6QP6a9PT9MmHB8GnpscSmMJSoF8LOIrt8ud/wPtojys4G6+g==",
+      "dev": true
+    },
+    "node_modules/browserify-sign/node_modules/string_decoder": {
+      "version": "1.1.1",
+      "resolved": "https://registry.npmjs.org/string_decoder/-/string_decoder-1.1.1.tgz",
+      "integrity": "sha512-n/ShnvDi6FHbbVfviro+WojiFzv+s8MPMHBczVePfUpDJLwoLT0ht1l4YwBCbi8pJAveEEdnkHyPyTP/mzRfwg==",
+      "dev": true,
+      "dependencies": {
+        "safe-buffer": "~5.1.0"
       }
     },
+    "node_modules/browserify-sign/node_modules/string_decoder/node_modules/safe-buffer": {
+      "version": "5.1.2",
+      "resolved": "https://registry.npmjs.org/safe-buffer/-/safe-buffer-5.1.2.tgz",
+      "integrity": "sha512-Gd2UZBJDkXlY7GbJxfsE8/nvKkUEU1G38c1siN6QP6a9PT9MmHB8GnpscSmMJSoF8LOIrt8ud/wPtojys4G6+g==",
+      "dev": true
+    },
     "node_modules/browserify-zlib": {
       "version": "0.2.0",
       "resolved": "https://registry.npmjs.org/browserify-zlib/-/browserify-zlib-0.2.0.tgz",
@@ -5557,9 +5526,9 @@
       }
     },
     "node_modules/browserslist": {
-      "version": "4.22.2",
-      "resolved": "https://registry.npmjs.org/browserslist/-/browserslist-4.22.2.tgz",
-      "integrity": "sha512-0UgcrvQmBDvZHFGdYUehrCNIazki7/lUP3kkoi/r3YB2amZbFM9J43ZRkJTXBUZK4gmx56+Sqk9+Vs9mwZx9+A==",
+      "version": "4.23.1",
+      "resolved": "https://registry.npmjs.org/browserslist/-/browserslist-4.23.1.tgz",
+      "integrity": "sha512-TUfofFo/KsK/bWZ9TWQ5O26tsWW4Uhmt8IYklbnUa70udB6P2wA7w7o4PY4muaEPBQaAX+CEnmmIA41NVHtPVw==",
       "funding": [
         {
           "type": "opencollective",
@@ -5575,10 +5544,10 @@
         }
       ],
       "dependencies": {
-        "caniuse-lite": "^1.0.30001565",
-        "electron-to-chromium": "^1.4.601",
+        "caniuse-lite": "^1.0.30001629",
+        "electron-to-chromium": "^1.4.796",
         "node-releases": "^2.0.14",
-        "update-browserslist-db": "^1.0.13"
+        "update-browserslist-db": "^1.0.16"
       },
       "bin": {
         "browserslist": "cli.js"
@@ -5678,6 +5647,7 @@
       "version": "8.1.0",
       "resolved": "https://registry.npmjs.org/glob/-/glob-8.1.0.tgz",
       "integrity": "sha512-r8hpEjiQEYlF2QU0df3dS+nxxSIreXQS1qRhMJM0Q5NDdR386C7jb7Hwwod8Fgiuex+k0GFjgft18yvxm5XoCQ==",
+      "deprecated": "Glob versions prior to v9 are no longer supported",
       "dev": true,
       "dependencies": {
         "fs.realpath": "^1.0.0",
@@ -5750,25 +5720,19 @@
         "url": "https://github.com/sponsors/sindresorhus"
       }
     },
-    "node_modules/cacheable-request/node_modules/normalize-url": {
-      "version": "8.0.0",
-      "resolved": "https://registry.npmjs.org/normalize-url/-/normalize-url-8.0.0.tgz",
-      "integrity": "sha512-uVFpKhj5MheNBJRTiMZ9pE/7hD1QTeEvugSJW/OmLzAp78PB5O6adfMNTvmfKhXBkvCzC+rqifWcVYpGFwTjnw==",
-      "engines": {
-        "node": ">=14.16"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/sindresorhus"
-      }
-    },
     "node_modules/call-bind": {
-      "version": "1.0.5",
-      "resolved": "https://registry.npmjs.org/call-bind/-/call-bind-1.0.5.tgz",
-      "integrity": "sha512-C3nQxfFZxFRVoJoGKKI8y3MOEo129NQ+FgQ08iye+Mk4zNZZGdjfs06bVTr+DBSlA66Q2VEcMki/cUCP4SercQ==",
+      "version": "1.0.7",
+      "resolved": "https://registry.npmjs.org/call-bind/-/call-bind-1.0.7.tgz",
+      "integrity": "sha512-GHTSNSYICQ7scH7sZ+M2rFopRoLh8t2bLSW6BbgrtLsahOIB5iyAVJf9GjWK3cYTDaMj4XdBpM1cA6pIS0Kv2w==",
       "dependencies": {
+        "es-define-property": "^1.0.0",
+        "es-errors": "^1.3.0",
         "function-bind": "^1.1.2",
-        "get-intrinsic": "^1.2.1",
-        "set-function-length": "^1.1.1"
+        "get-intrinsic": "^1.2.4",
+        "set-function-length": "^1.2.1"
+      },
+      "engines": {
+        "node": ">= 0.4"
       },
       "funding": {
         "url": "https://github.com/sponsors/ljharb"
@@ -5848,9 +5812,9 @@
       }
     },
     "node_modules/caniuse-lite": {
-      "version": "1.0.30001572",
-      "resolved": "https://registry.npmjs.org/caniuse-lite/-/caniuse-lite-1.0.30001572.tgz",
-      "integrity": "sha512-1Pbh5FLmn5y4+QhNyJE9j3/7dK44dGB83/ZMjv/qJk86TvDbjk0LosiZo0i0WB0Vx607qMX9jYrn1VLHCkN4rw==",
+      "version": "1.0.30001636",
+      "resolved": "https://registry.npmjs.org/caniuse-lite/-/caniuse-lite-1.0.30001636.tgz",
+      "integrity": "sha512-bMg2vmr8XBsbL6Lr0UHXy/21m84FTxDLWn2FSqMd5PrlbMxwJlQnC2YWYxVgp66PZE+BBNF2jYQUBKCo1FDeZg==",
       "funding": [
         {
           "type": "opencollective",
@@ -5977,15 +5941,9 @@
       }
     },
     "node_modules/chokidar": {
-      "version": "3.5.3",
-      "resolved": "https://registry.npmjs.org/chokidar/-/chokidar-3.5.3.tgz",
-      "integrity": "sha512-Dr3sfKRP6oTcjf2JmUmFJfeVMvXBdegxB0iVQ5eb2V10uFJUCAS8OByZdVAyVb8xXNz3GjjTgj9kLWsZTqE6kw==",
-      "funding": [
-        {
-          "type": "individual",
-          "url": "https://paulmillr.com/funding/"
-        }
-      ],
+      "version": "3.6.0",
+      "resolved": "https://registry.npmjs.org/chokidar/-/chokidar-3.6.0.tgz",
+      "integrity": "sha512-7VT13fmjotKpGipCW9JEQAusEPE+Ei8nl6/g4FBAmIm0GOOLMua9NDDo/DWp0ZAxCr3cPq5ZpBqmPAQgDda2Pw==",
       "dependencies": {
         "anymatch": "~3.1.2",
         "braces": "~3.0.2",
@@ -5998,6 +5956,9 @@
       "engines": {
         "node": ">= 8.10.0"
       },
+      "funding": {
+        "url": "https://paulmillr.com/funding/"
+      },
       "optionalDependencies": {
         "fsevents": "~2.3.2"
       }
@@ -6012,9 +5973,9 @@
       }
     },
     "node_modules/chrome-trace-event": {
-      "version": "1.0.3",
-      "resolved": "https://registry.npmjs.org/chrome-trace-event/-/chrome-trace-event-1.0.3.tgz",
-      "integrity": "sha512-p3KULyQg4S7NIHixdwbGX+nFHkoBiA4YQmyWtjb8XngSKV124nJmRysgAeujbUVb15vh+RvFUfCPqU7rXk+hZg==",
+      "version": "1.0.4",
+      "resolved": "https://registry.npmjs.org/chrome-trace-event/-/chrome-trace-event-1.0.4.tgz",
+      "integrity": "sha512-rNjApaLzuwaOTjCiT8lSDdGN1APCiqkChLMJxJPWLunPAt5fy8xgU9/jNOchV84wfIxrA0lRQB7oCT8jrn/wrQ==",
       "engines": {
         "node": ">=6.0"
       }
@@ -6082,9 +6043,9 @@
       }
     },
     "node_modules/cli-table3": {
-      "version": "0.6.3",
-      "resolved": "https://registry.npmjs.org/cli-table3/-/cli-table3-0.6.3.tgz",
-      "integrity": "sha512-w5Jac5SykAeZJKntOxJCrm63Eg5/4dhMWIcuTbo9rpE+brgaSZo0RuNJZeOyMgsUdhDeojvgyQLmjI+K50ZGyg==",
+      "version": "0.6.5",
+      "resolved": "https://registry.npmjs.org/cli-table3/-/cli-table3-0.6.5.tgz",
+      "integrity": "sha512-+W/5efTR7y5HRD7gACw9yQjqMVvEMLBHmboM/kPWam+H+Hmyrgjh6YncVKK122YZkXrLudzTuAukUw9FnMf7IQ==",
       "dependencies": {
         "string-width": "^4.2.0"
       },
@@ -6210,17 +6171,6 @@
         "node": ">=6"
       }
     },
-    "node_modules/clone-deep/node_modules/is-plain-object": {
-      "version": "2.0.4",
-      "resolved": "https://registry.npmjs.org/is-plain-object/-/is-plain-object-2.0.4.tgz",
-      "integrity": "sha512-h5PpgXkWitc38BBMYawTYMWJHFZJVnBquFE57xFpjB8pJFiF6gZ+bU+WyI/yqXiFR5mdLsgYNaPe8uao6Uv9Og==",
-      "dependencies": {
-        "isobject": "^3.0.1"
-      },
-      "engines": {
-        "node": ">=0.10.0"
-      }
-    },
     "node_modules/clsx": {
       "version": "1.2.1",
       "resolved": "https://registry.npmjs.org/clsx/-/clsx-1.2.1.tgz",
@@ -6481,9 +6431,9 @@
       "integrity": "sha512-Kvp459HrV2FEJ1CAsi1Ku+MY3kasH19TFykTz2xWmMeq6bk2NU3XXvfJ+Q61m0xktWwt+1HSYf3JZsTms3aRJg=="
     },
     "node_modules/cookie": {
-      "version": "0.5.0",
-      "resolved": "https://registry.npmjs.org/cookie/-/cookie-0.5.0.tgz",
-      "integrity": "sha512-YZ3GUyn/o8gfKJlnlX7g7xq4gyO6OSuhGPKaaGssGB2qgDUS0gPgtTvoyZLTt9Ab6dC4hfc9dV5arkvc/OCmrw==",
+      "version": "0.6.0",
+      "resolved": "https://registry.npmjs.org/cookie/-/cookie-0.6.0.tgz",
+      "integrity": "sha512-U71cyTamuh1CRNCfpGY6to28lxvNwPG4Guz/EVjgf3Jmzv0vlDp1atT9eS5dDjMYHucpHbWns6Lwf3BKz6svdw==",
       "engines": {
         "node": ">= 0.6"
       }
@@ -6568,9 +6518,9 @@
       }
     },
     "node_modules/core-js": {
-      "version": "3.35.0",
-      "resolved": "https://registry.npmjs.org/core-js/-/core-js-3.35.0.tgz",
-      "integrity": "sha512-ntakECeqg81KqMueeGJ79Q5ZgQNR+6eaE8sxGCx62zMbAIj65q+uYvatToew3m6eAGdU4gNZwpZ34NMe4GYswg==",
+      "version": "3.37.1",
+      "resolved": "https://registry.npmjs.org/core-js/-/core-js-3.37.1.tgz",
+      "integrity": "sha512-Xn6qmxrQZyB0FFY8E3bgRXei3lWDJHhvI+u0q9TKIYM49G8pAr0FgnnrFRAmsbptZL1yxRADVXn+x5AGsbBfyw==",
       "hasInstallScript": true,
       "funding": {
         "type": "opencollective",
@@ -6578,11 +6528,11 @@
       }
     },
     "node_modules/core-js-compat": {
-      "version": "3.35.0",
-      "resolved": "https://registry.npmjs.org/core-js-compat/-/core-js-compat-3.35.0.tgz",
-      "integrity": "sha512-5blwFAddknKeNgsjBzilkdQ0+YK8L1PfqPYq40NOYMYFSS38qj+hpTcLLWwpIwA2A5bje/x5jmVn2tzUMg9IVw==",
+      "version": "3.37.1",
+      "resolved": "https://registry.npmjs.org/core-js-compat/-/core-js-compat-3.37.1.tgz",
+      "integrity": "sha512-9TNiImhKvQqSUkOvk/mMRZzOANTiEVC7WaBNhHcKM7x+/5E1l5NvsysR19zuDQScE8k+kfQXWRN3AtS/eOSHpg==",
       "dependencies": {
-        "browserslist": "^4.22.2"
+        "browserslist": "^4.23.0"
       },
       "funding": {
         "type": "opencollective",
@@ -6590,9 +6540,9 @@
       }
     },
     "node_modules/core-js-pure": {
-      "version": "3.35.0",
-      "resolved": "https://registry.npmjs.org/core-js-pure/-/core-js-pure-3.35.0.tgz",
-      "integrity": "sha512-f+eRYmkou59uh7BPcyJ8MC76DiGhspj1KMxVIcF24tzP8NA9HVa1uC7BTW2tgx7E1QVCzDzsgp7kArrzhlz8Ew==",
+      "version": "3.37.1",
+      "resolved": "https://registry.npmjs.org/core-js-pure/-/core-js-pure-3.37.1.tgz",
+      "integrity": "sha512-J/r5JTHSmzTxbiYYrzXg9w1VpqrYt+gexenBE9pugeyhwPZTAEJddyiReJWsLO6uNQ8xJZFbod6XC7KKwatCiA==",
       "hasInstallScript": true,
       "funding": {
         "type": "opencollective",
@@ -6605,18 +6555,28 @@
       "integrity": "sha512-ZQBvi1DcpJ4GDqanjucZ2Hj3wEO5pZDS89BWbkcrvdxksJorwUDDZamX9ldFkp9aw2lmBDLgkObEA4DWNJ9FYQ=="
     },
     "node_modules/cosmiconfig": {
-      "version": "7.1.0",
-      "resolved": "https://registry.npmjs.org/cosmiconfig/-/cosmiconfig-7.1.0.tgz",
-      "integrity": "sha512-AdmX6xUzdNASswsFtmwSt7Vj8po9IuqXm0UXz7QKPuEUmPB4XyjGfaAr2PSuELMwkRMVH1EpIkX5bTZGRB3eCA==",
+      "version": "8.3.6",
+      "resolved": "https://registry.npmjs.org/cosmiconfig/-/cosmiconfig-8.3.6.tgz",
+      "integrity": "sha512-kcZ6+W5QzcJ3P1Mt+83OUv/oHFqZHIx8DuxG6eZ5RGMERoLqp4BuGjhHLYGK+Kf5XVkQvqBSmAy/nGWN3qDgEA==",
       "dependencies": {
-        "@types/parse-json": "^4.0.0",
-        "import-fresh": "^3.2.1",
-        "parse-json": "^5.0.0",
-        "path-type": "^4.0.0",
-        "yaml": "^1.10.0"
+        "import-fresh": "^3.3.0",
+        "js-yaml": "^4.1.0",
+        "parse-json": "^5.2.0",
+        "path-type": "^4.0.0"
       },
       "engines": {
-        "node": ">=10"
+        "node": ">=14"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/d-fischer"
+      },
+      "peerDependencies": {
+        "typescript": ">=4.9.5"
+      },
+      "peerDependenciesMeta": {
+        "typescript": {
+          "optional": true
+        }
       }
     },
     "node_modules/create-ecdh": {
@@ -6723,29 +6683,29 @@
       }
     },
     "node_modules/css-declaration-sorter": {
-      "version": "6.4.1",
-      "resolved": "https://registry.npmjs.org/css-declaration-sorter/-/css-declaration-sorter-6.4.1.tgz",
-      "integrity": "sha512-rtdthzxKuyq6IzqX6jEcIzQF/YqccluefyCYheovBOLhFT/drQA9zj/UbRAa9J7C0o6EG6u3E6g+vKkay7/k3g==",
+      "version": "7.2.0",
+      "resolved": "https://registry.npmjs.org/css-declaration-sorter/-/css-declaration-sorter-7.2.0.tgz",
+      "integrity": "sha512-h70rUM+3PNFuaBDTLe8wF/cdWu+dOZmb7pJt8Z2sedYbAcQVQV/tEchueg3GWxwqS0cxtbxmaHEdkNACqcvsow==",
       "engines": {
-        "node": "^10 || ^12 || >=14"
+        "node": "^14 || ^16 || >=18"
       },
       "peerDependencies": {
         "postcss": "^8.0.9"
       }
     },
     "node_modules/css-loader": {
-      "version": "6.8.1",
-      "resolved": "https://registry.npmjs.org/css-loader/-/css-loader-6.8.1.tgz",
-      "integrity": "sha512-xDAXtEVGlD0gJ07iclwWVkLoZOpEvAWaSyf6W18S2pOC//K8+qUDIx8IIT3D+HjnmkJPQeesOPv5aiUaJsCM2g==",
+      "version": "6.11.0",
+      "resolved": "https://registry.npmjs.org/css-loader/-/css-loader-6.11.0.tgz",
+      "integrity": "sha512-CTJ+AEQJjq5NzLga5pE39qdiSV56F8ywCIsqNIRF0r7BDgWsN25aazToqAFg7ZrtA/U016xudB3ffgweORxX7g==",
       "dependencies": {
         "icss-utils": "^5.1.0",
-        "postcss": "^8.4.21",
-        "postcss-modules-extract-imports": "^3.0.0",
-        "postcss-modules-local-by-default": "^4.0.3",
-        "postcss-modules-scope": "^3.0.0",
+        "postcss": "^8.4.33",
+        "postcss-modules-extract-imports": "^3.1.0",
+        "postcss-modules-local-by-default": "^4.0.5",
+        "postcss-modules-scope": "^3.2.0",
         "postcss-modules-values": "^4.0.0",
         "postcss-value-parser": "^4.2.0",
-        "semver": "^7.3.8"
+        "semver": "^7.5.4"
       },
       "engines": {
         "node": ">= 12.13.0"
@@ -6755,27 +6715,22 @@
         "url": "https://opencollective.com/webpack"
       },
       "peerDependencies": {
+        "@rspack/core": "0.x || 1.x",
         "webpack": "^5.0.0"
-      }
-    },
-    "node_modules/css-loader/node_modules/lru-cache": {
-      "version": "6.0.0",
-      "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-6.0.0.tgz",
-      "integrity": "sha512-Jo6dJ04CmSjuznwJSS3pUeWmd/H0ffTlkXXgwZi+eq1UCmqQwCh+eLsYOYCwY991i2Fah4h1BEMCx4qThGbsiA==",
-      "dependencies": {
-        "yallist": "^4.0.0"
       },
-      "engines": {
-        "node": ">=10"
+      "peerDependenciesMeta": {
+        "@rspack/core": {
+          "optional": true
+        },
+        "webpack": {
+          "optional": true
+        }
       }
     },
     "node_modules/css-loader/node_modules/semver": {
-      "version": "7.5.4",
-      "resolved": "https://registry.npmjs.org/semver/-/semver-7.5.4.tgz",
-      "integrity": "sha512-1bCSESV6Pv+i21Hvpxp3Dx+pSD8lIPt8uVjRrxAUt/nbswYc+tK6Y2btiULjd4+fnq15PX+nqQDC7Oft7WkwcA==",
-      "dependencies": {
-        "lru-cache": "^6.0.0"
-      },
+      "version": "7.6.2",
+      "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.2.tgz",
+      "integrity": "sha512-FNAIBWCx9qcRhoHcgcJ0gvU7SN1lYU2ZXuSfl04bSC5OpvDHFyJCjdNHomPXxjQlCBU67YW64PzY7/VIEH7F2w==",
       "bin": {
         "semver": "bin/semver.js"
       },
@@ -6783,22 +6738,17 @@
         "node": ">=10"
       }
     },
-    "node_modules/css-loader/node_modules/yallist": {
-      "version": "4.0.0",
-      "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz",
-      "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A=="
-    },
     "node_modules/css-minimizer-webpack-plugin": {
-      "version": "4.2.2",
-      "resolved": "https://registry.npmjs.org/css-minimizer-webpack-plugin/-/css-minimizer-webpack-plugin-4.2.2.tgz",
-      "integrity": "sha512-s3Of/4jKfw1Hj9CxEO1E5oXhQAxlayuHO2y/ML+C6I9sQ7FdzfEV6QgMLN3vI+qFsjJGIAFLKtQK7t8BOXAIyA==",
+      "version": "5.0.1",
+      "resolved": "https://registry.npmjs.org/css-minimizer-webpack-plugin/-/css-minimizer-webpack-plugin-5.0.1.tgz",
+      "integrity": "sha512-3caImjKFQkS+ws1TGcFn0V1HyDJFq1Euy589JlD6/3rV2kj+w7r5G9WDMgSHvpvXHNZ2calVypZWuEDQd9wfLg==",
       "dependencies": {
-        "cssnano": "^5.1.8",
-        "jest-worker": "^29.1.2",
-        "postcss": "^8.4.17",
-        "schema-utils": "^4.0.0",
-        "serialize-javascript": "^6.0.0",
-        "source-map": "^0.6.1"
+        "@jridgewell/trace-mapping": "^0.3.18",
+        "cssnano": "^6.0.1",
+        "jest-worker": "^29.4.3",
+        "postcss": "^8.4.24",
+        "schema-utils": "^4.0.1",
+        "serialize-javascript": "^6.0.1"
       },
       "engines": {
         "node": ">= 14.15.0"
@@ -6831,14 +6781,6 @@
         }
       }
     },
-    "node_modules/css-minimizer-webpack-plugin/node_modules/source-map": {
-      "version": "0.6.1",
-      "resolved": "https://registry.npmjs.org/source-map/-/source-map-0.6.1.tgz",
-      "integrity": "sha512-UjgapumWlbMhkBgzT7Ykc5YXUT46F0iKu8SGXq0bcwP5dz/h0Plj6enJqjz1Zbq2l5WaqYnrVbwWOWMyF3F47g==",
-      "engines": {
-        "node": ">=0.10.0"
-      }
-    },
     "node_modules/css-select": {
       "version": "5.1.0",
       "resolved": "https://registry.npmjs.org/css-select/-/css-select-5.1.0.tgz",
@@ -6855,23 +6797,15 @@
       }
     },
     "node_modules/css-tree": {
-      "version": "1.1.3",
-      "resolved": "https://registry.npmjs.org/css-tree/-/css-tree-1.1.3.tgz",
-      "integrity": "sha512-tRpdppF7TRazZrjJ6v3stzv93qxRcSsFmW6cX0Zm2NVKpxE1WV1HblnghVv9TreireHkqI/VDEsfolRF1p6y7Q==",
+      "version": "2.3.1",
+      "resolved": "https://registry.npmjs.org/css-tree/-/css-tree-2.3.1.tgz",
+      "integrity": "sha512-6Fv1DV/TYw//QF5IzQdqsNDjx/wc8TrMBZsqjL9eW01tWb7R7k/mq+/VXfJCl7SoD5emsJop9cOByJZfs8hYIw==",
       "dependencies": {
-        "mdn-data": "2.0.14",
-        "source-map": "^0.6.1"
+        "mdn-data": "2.0.30",
+        "source-map-js": "^1.0.1"
       },
       "engines": {
-        "node": ">=8.0.0"
-      }
-    },
-    "node_modules/css-tree/node_modules/source-map": {
-      "version": "0.6.1",
-      "resolved": "https://registry.npmjs.org/source-map/-/source-map-0.6.1.tgz",
-      "integrity": "sha512-UjgapumWlbMhkBgzT7Ykc5YXUT46F0iKu8SGXq0bcwP5dz/h0Plj6enJqjz1Zbq2l5WaqYnrVbwWOWMyF3F47g==",
-      "engines": {
-        "node": ">=0.10.0"
+        "node": "^10 || ^12.20.0 || ^14.13.0 || >=15.0.0"
       }
     },
     "node_modules/css-what": {
@@ -6897,108 +6831,128 @@
       }
     },
     "node_modules/cssnano": {
-      "version": "5.1.15",
-      "resolved": "https://registry.npmjs.org/cssnano/-/cssnano-5.1.15.tgz",
-      "integrity": "sha512-j+BKgDcLDQA+eDifLx0EO4XSA56b7uut3BQFH+wbSaSTuGLuiyTa/wbRYthUXX8LC9mLg+WWKe8h+qJuwTAbHw==",
+      "version": "6.1.2",
+      "resolved": "https://registry.npmjs.org/cssnano/-/cssnano-6.1.2.tgz",
+      "integrity": "sha512-rYk5UeX7VAM/u0lNqewCdasdtPK81CgX8wJFLEIXHbV2oldWRgJAsZrdhRXkV1NJzA2g850KiFm9mMU2HxNxMA==",
       "dependencies": {
-        "cssnano-preset-default": "^5.2.14",
-        "lilconfig": "^2.0.3",
-        "yaml": "^1.10.2"
+        "cssnano-preset-default": "^6.1.2",
+        "lilconfig": "^3.1.1"
       },
       "engines": {
-        "node": "^10 || ^12 || >=14.0"
+        "node": "^14 || ^16 || >=18.0"
       },
       "funding": {
         "type": "opencollective",
         "url": "https://opencollective.com/cssnano"
       },
       "peerDependencies": {
-        "postcss": "^8.2.15"
+        "postcss": "^8.4.31"
       }
     },
     "node_modules/cssnano-preset-advanced": {
-      "version": "5.3.10",
-      "resolved": "https://registry.npmjs.org/cssnano-preset-advanced/-/cssnano-preset-advanced-5.3.10.tgz",
-      "integrity": "sha512-fnYJyCS9jgMU+cmHO1rPSPf9axbQyD7iUhLO5Df6O4G+fKIOMps+ZbU0PdGFejFBBZ3Pftf18fn1eG7MAPUSWQ==",
+      "version": "6.1.2",
+      "resolved": "https://registry.npmjs.org/cssnano-preset-advanced/-/cssnano-preset-advanced-6.1.2.tgz",
+      "integrity": "sha512-Nhao7eD8ph2DoHolEzQs5CfRpiEP0xa1HBdnFZ82kvqdmbwVBUr2r1QuQ4t1pi+D1ZpqpcO4T+wy/7RxzJ/WPQ==",
       "dependencies": {
-        "autoprefixer": "^10.4.12",
-        "cssnano-preset-default": "^5.2.14",
-        "postcss-discard-unused": "^5.1.0",
-        "postcss-merge-idents": "^5.1.1",
-        "postcss-reduce-idents": "^5.2.0",
-        "postcss-zindex": "^5.1.0"
+        "autoprefixer": "^10.4.19",
+        "browserslist": "^4.23.0",
+        "cssnano-preset-default": "^6.1.2",
+        "postcss-discard-unused": "^6.0.5",
+        "postcss-merge-idents": "^6.0.3",
+        "postcss-reduce-idents": "^6.0.3",
+        "postcss-zindex": "^6.0.2"
       },
       "engines": {
-        "node": "^10 || ^12 || >=14.0"
+        "node": "^14 || ^16 || >=18.0"
       },
       "peerDependencies": {
-        "postcss": "^8.2.15"
+        "postcss": "^8.4.31"
       }
     },
     "node_modules/cssnano-preset-default": {
-      "version": "5.2.14",
-      "resolved": "https://registry.npmjs.org/cssnano-preset-default/-/cssnano-preset-default-5.2.14.tgz",
-      "integrity": "sha512-t0SFesj/ZV2OTylqQVOrFgEh5uanxbO6ZAdeCrNsUQ6fVuXwYTxJPNAGvGTxHbD68ldIJNec7PyYZDBrfDQ+6A==",
-      "dependencies": {
-        "css-declaration-sorter": "^6.3.1",
-        "cssnano-utils": "^3.1.0",
-        "postcss-calc": "^8.2.3",
-        "postcss-colormin": "^5.3.1",
-        "postcss-convert-values": "^5.1.3",
-        "postcss-discard-comments": "^5.1.2",
-        "postcss-discard-duplicates": "^5.1.0",
-        "postcss-discard-empty": "^5.1.1",
-        "postcss-discard-overridden": "^5.1.0",
-        "postcss-merge-longhand": "^5.1.7",
-        "postcss-merge-rules": "^5.1.4",
-        "postcss-minify-font-values": "^5.1.0",
-        "postcss-minify-gradients": "^5.1.1",
-        "postcss-minify-params": "^5.1.4",
-        "postcss-minify-selectors": "^5.2.1",
-        "postcss-normalize-charset": "^5.1.0",
-        "postcss-normalize-display-values": "^5.1.0",
-        "postcss-normalize-positions": "^5.1.1",
-        "postcss-normalize-repeat-style": "^5.1.1",
-        "postcss-normalize-string": "^5.1.0",
-        "postcss-normalize-timing-functions": "^5.1.0",
-        "postcss-normalize-unicode": "^5.1.1",
-        "postcss-normalize-url": "^5.1.0",
-        "postcss-normalize-whitespace": "^5.1.1",
-        "postcss-ordered-values": "^5.1.3",
-        "postcss-reduce-initial": "^5.1.2",
-        "postcss-reduce-transforms": "^5.1.0",
-        "postcss-svgo": "^5.1.0",
-        "postcss-unique-selectors": "^5.1.1"
-      },
-      "engines": {
-        "node": "^10 || ^12 || >=14.0"
+      "version": "6.1.2",
+      "resolved": "https://registry.npmjs.org/cssnano-preset-default/-/cssnano-preset-default-6.1.2.tgz",
+      "integrity": "sha512-1C0C+eNaeN8OcHQa193aRgYexyJtU8XwbdieEjClw+J9d94E41LwT6ivKH0WT+fYwYWB0Zp3I3IZ7tI/BbUbrg==",
+      "dependencies": {
+        "browserslist": "^4.23.0",
+        "css-declaration-sorter": "^7.2.0",
+        "cssnano-utils": "^4.0.2",
+        "postcss-calc": "^9.0.1",
+        "postcss-colormin": "^6.1.0",
+        "postcss-convert-values": "^6.1.0",
+        "postcss-discard-comments": "^6.0.2",
+        "postcss-discard-duplicates": "^6.0.3",
+        "postcss-discard-empty": "^6.0.3",
+        "postcss-discard-overridden": "^6.0.2",
+        "postcss-merge-longhand": "^6.0.5",
+        "postcss-merge-rules": "^6.1.1",
+        "postcss-minify-font-values": "^6.1.0",
+        "postcss-minify-gradients": "^6.0.3",
+        "postcss-minify-params": "^6.1.0",
+        "postcss-minify-selectors": "^6.0.4",
+        "postcss-normalize-charset": "^6.0.2",
+        "postcss-normalize-display-values": "^6.0.2",
+        "postcss-normalize-positions": "^6.0.2",
+        "postcss-normalize-repeat-style": "^6.0.2",
+        "postcss-normalize-string": "^6.0.2",
+        "postcss-normalize-timing-functions": "^6.0.2",
+        "postcss-normalize-unicode": "^6.1.0",
+        "postcss-normalize-url": "^6.0.2",
+        "postcss-normalize-whitespace": "^6.0.2",
+        "postcss-ordered-values": "^6.0.2",
+        "postcss-reduce-initial": "^6.1.0",
+        "postcss-reduce-transforms": "^6.0.2",
+        "postcss-svgo": "^6.0.3",
+        "postcss-unique-selectors": "^6.0.4"
+      },
+      "engines": {
+        "node": "^14 || ^16 || >=18.0"
       },
       "peerDependencies": {
-        "postcss": "^8.2.15"
+        "postcss": "^8.4.31"
       }
     },
     "node_modules/cssnano-utils": {
-      "version": "3.1.0",
-      "resolved": "https://registry.npmjs.org/cssnano-utils/-/cssnano-utils-3.1.0.tgz",
-      "integrity": "sha512-JQNR19/YZhz4psLX/rQ9M83e3z2Wf/HdJbryzte4a3NSuafyp9w/I4U+hx5C2S9g41qlstH7DEWnZaaj83OuEA==",
+      "version": "4.0.2",
+      "resolved": "https://registry.npmjs.org/cssnano-utils/-/cssnano-utils-4.0.2.tgz",
+      "integrity": "sha512-ZR1jHg+wZ8o4c3zqf1SIUSTIvm/9mU343FMR6Obe/unskbvpGhZOo1J6d/r8D1pzkRQYuwbcH3hToOuoA2G7oQ==",
       "engines": {
-        "node": "^10 || ^12 || >=14.0"
+        "node": "^14 || ^16 || >=18.0"
       },
       "peerDependencies": {
-        "postcss": "^8.2.15"
+        "postcss": "^8.4.31"
       }
     },
     "node_modules/csso": {
-      "version": "4.2.0",
-      "resolved": "https://registry.npmjs.org/csso/-/csso-4.2.0.tgz",
-      "integrity": "sha512-wvlcdIbf6pwKEk7vHj8/Bkc0B4ylXZruLvOgs9doS5eOsOpuodOV2zJChSpkp+pRpYQLQMeF04nr3Z68Sta9jA==",
+      "version": "5.0.5",
+      "resolved": "https://registry.npmjs.org/csso/-/csso-5.0.5.tgz",
+      "integrity": "sha512-0LrrStPOdJj+SPCCrGhzryycLjwcgUSHBtxNA8aIDxf0GLsRh1cKYhB00Gd1lDOS4yGH69+SNn13+TWbVHETFQ==",
       "dependencies": {
-        "css-tree": "^1.1.2"
+        "css-tree": "~2.2.0"
       },
       "engines": {
-        "node": ">=8.0.0"
+        "node": "^10 || ^12.20.0 || ^14.13.0 || >=15.0.0",
+        "npm": ">=7.0.0"
+      }
+    },
+    "node_modules/csso/node_modules/css-tree": {
+      "version": "2.2.1",
+      "resolved": "https://registry.npmjs.org/css-tree/-/css-tree-2.2.1.tgz",
+      "integrity": "sha512-OA0mILzGc1kCOCSJerOeqDxDQ4HOh+G8NbOJFOTgOCzpw7fCBubk0fEyxp8AgOL/jvLgYA/uV0cMbe43ElF1JA==",
+      "dependencies": {
+        "mdn-data": "2.0.28",
+        "source-map-js": "^1.0.1"
+      },
+      "engines": {
+        "node": "^10 || ^12.20.0 || ^14.13.0 || >=15.0.0",
+        "npm": ">=7.0.0"
       }
     },
+    "node_modules/csso/node_modules/mdn-data": {
+      "version": "2.0.28",
+      "resolved": "https://registry.npmjs.org/mdn-data/-/mdn-data-2.0.28.tgz",
+      "integrity": "sha512-aylIc7Z9y4yzHYAJNuESG3hfhC+0Ibp/MAMiaOZgNv4pmEdFyfZhhhny4MNiAfWdBQ1RQ2mfDWmM1x8SvGyp8g=="
+    },
     "node_modules/csstype": {
       "version": "3.1.3",
       "resolved": "https://registry.npmjs.org/csstype/-/csstype-3.1.3.tgz",
@@ -7018,9 +6972,9 @@
       "integrity": "sha512-XRRe6Glud4rd/ZGQfiV1ruXSfbvfJedlV9Y6zOlP+2K04vBYiJEte6stfFkCP03aMnY5tsipamumUjL14fofug=="
     },
     "node_modules/debug": {
-      "version": "4.3.4",
-      "resolved": "https://registry.npmjs.org/debug/-/debug-4.3.4.tgz",
-      "integrity": "sha512-PRWFHuSU3eDtQJPvnNY7Jcket1j0t5OuOsFzPPzsekD52Zl8qUfFIPEiswXqIvHWGVHOgX+7G/vCNNhehwxfkQ==",
+      "version": "4.3.5",
+      "resolved": "https://registry.npmjs.org/debug/-/debug-4.3.5.tgz",
+      "integrity": "sha512-pt0bNEmneDIvdL1Xsd9oDQ/wrQRkXDT4AUWlNZNPKvW5x/jyO9VFXkJUP07vQ2upmw5PlaITaPKc31jK13V+jg==",
       "dependencies": {
         "ms": "2.1.2"
       },
@@ -7129,16 +7083,19 @@
       }
     },
     "node_modules/define-data-property": {
-      "version": "1.1.1",
-      "resolved": "https://registry.npmjs.org/define-data-property/-/define-data-property-1.1.1.tgz",
-      "integrity": "sha512-E7uGkTzkk1d0ByLeSc6ZsFS79Axg+m1P/VsgYsxHgiuc3tFSj+MjMIwe90FC4lOAZzNBdY7kkO2P2wKdsQ1vgQ==",
+      "version": "1.1.4",
+      "resolved": "https://registry.npmjs.org/define-data-property/-/define-data-property-1.1.4.tgz",
+      "integrity": "sha512-rBMvIzlpA8v6E+SJZoo++HAYqsLrkg7MSfIinMPFhmkorw7X+dOXVJQs+QT69zGkzMyfDnIMN2Wid1+NbL3T+A==",
       "dependencies": {
-        "get-intrinsic": "^1.2.1",
-        "gopd": "^1.0.1",
-        "has-property-descriptors": "^1.0.0"
+        "es-define-property": "^1.0.0",
+        "es-errors": "^1.3.0",
+        "gopd": "^1.0.1"
       },
       "engines": {
         "node": ">= 0.4"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/ljharb"
       }
     },
     "node_modules/define-lazy-prop": {
@@ -7228,9 +7185,9 @@
       }
     },
     "node_modules/detect-libc": {
-      "version": "2.0.2",
-      "resolved": "https://registry.npmjs.org/detect-libc/-/detect-libc-2.0.2.tgz",
-      "integrity": "sha512-UX6sGumvvqSaXgdKGUsgZWqcUyIXZ/vZTrlRT/iobiKhGL0zL4d3osHj3uqllWJK+i+sixDS/3COVEOFbupFyw==",
+      "version": "2.0.3",
+      "resolved": "https://registry.npmjs.org/detect-libc/-/detect-libc-2.0.3.tgz",
+      "integrity": "sha512-bwy0MGW55bG41VqxxypOsdSdGqLwXPI/focwgTYCFMbdUiBAxLg9CFzG08sz2aqzknwiX7Hkl0bQENjg8iLByw==",
       "engines": {
         "node": ">=8"
       }
@@ -7241,9 +7198,9 @@
       "integrity": "sha512-T0NIuQpnTvFDATNuHN5roPwSBG83rFsuO+MXXH9/3N1eFbn4wcPjttvjMLEPWJ0RGUYgQE7cGgS3tNxbqCGM7g=="
     },
     "node_modules/detect-port": {
-      "version": "1.5.1",
-      "resolved": "https://registry.npmjs.org/detect-port/-/detect-port-1.5.1.tgz",
-      "integrity": "sha512-aBzdj76lueB6uUst5iAs7+0H/oOjqI5D16XUWxlWMIMROhcM0rfsNVk93zTngq1dDNpoXRr++Sus7ETAExppAQ==",
+      "version": "1.6.1",
+      "resolved": "https://registry.npmjs.org/detect-port/-/detect-port-1.6.1.tgz",
+      "integrity": "sha512-CmnVc+Hek2egPx1PeTFVta2W78xy2K/9Rkf6cC4T59S50tVnzKj+tnx5mmx5lwvCkujZ4uRrpRSuV+IVs3f90Q==",
       "dependencies": {
         "address": "^1.0.1",
         "debug": "4"
@@ -7251,6 +7208,9 @@
       "bin": {
         "detect": "bin/detect-port.js",
         "detect-port": "bin/detect-port.js"
+      },
+      "engines": {
+        "node": ">= 4.0.0"
       }
     },
     "node_modules/detect-port-alt": {
@@ -7300,9 +7260,9 @@
       "integrity": "sha512-gxtyfqMg7GKyhQmb056K7M3xszy/myH8w+B4RT+QXBQsvAOdc3XymqDDPHx1BgPgsdAA5SIifona89YtRATDzw=="
     },
     "node_modules/diff": {
-      "version": "5.1.0",
-      "resolved": "https://registry.npmjs.org/diff/-/diff-5.1.0.tgz",
-      "integrity": "sha512-D+mk+qE8VC/PAUrlAU34N+VfXev0ghe5ywmpqrawphmVZc1bEfn56uo9qpyGp1p4xpzOHkSW4ztBd6L7Xx4ACw==",
+      "version": "5.2.0",
+      "resolved": "https://registry.npmjs.org/diff/-/diff-5.2.0.tgz",
+      "integrity": "sha512-uIFDxqpRZGZ6ThOk84hEfqWoHx2devRFvpTZcTHur85vImfaxUbTW9Ryh4CpCuDnToOP1CEtXKIgytHBPVff5A==",
       "engines": {
         "node": ">=0.3.1"
       }
@@ -7340,11 +7300,6 @@
       "resolved": "https://registry.npmjs.org/dlv/-/dlv-1.1.3.tgz",
       "integrity": "sha512-+HlytyjlPKnIG8XuRG8WvmBP8xs8P71y+SKKS6ZXWoEgLuePxtDoUEiH7WkdePWrQ5JBpE6aoVqfZfJUQkjXwA=="
     },
-    "node_modules/dns-equal": {
-      "version": "1.0.0",
-      "resolved": "https://registry.npmjs.org/dns-equal/-/dns-equal-1.0.0.tgz",
-      "integrity": "sha512-z+paD6YUQsk+AbGCEM4PrOXSss5gd66QfcVBFTKR/HpFL9jCqikS94HYwKww6fQyO7IxrIIyUu+g0Ka9tUS2Cg=="
-    },
     "node_modules/dns-packet": {
       "version": "5.6.1",
       "resolved": "https://registry.npmjs.org/dns-packet/-/dns-packet-5.6.1.tgz",
@@ -7482,10 +7437,223 @@
         "url": "https://opencollective.com/unified"
       }
     },
+    "node_modules/docusaurus-theme-mdx-v2/node_modules/@svgr/babel-plugin-add-jsx-attribute": {
+      "version": "6.5.1",
+      "resolved": "https://registry.npmjs.org/@svgr/babel-plugin-add-jsx-attribute/-/babel-plugin-add-jsx-attribute-6.5.1.tgz",
+      "integrity": "sha512-9PYGcXrAxitycIjRmZB+Q0JaN07GZIWaTBIGQzfaZv+qr1n8X1XUEJ5rZ/vx6OVD9RRYlrNnXWExQXcmZeD/BQ==",
+      "engines": {
+        "node": ">=10"
+      },
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/gregberge"
+      },
+      "peerDependencies": {
+        "@babel/core": "^7.0.0-0"
+      }
+    },
+    "node_modules/docusaurus-theme-mdx-v2/node_modules/@svgr/babel-plugin-replace-jsx-attribute-value": {
+      "version": "6.5.1",
+      "resolved": "https://registry.npmjs.org/@svgr/babel-plugin-replace-jsx-attribute-value/-/babel-plugin-replace-jsx-attribute-value-6.5.1.tgz",
+      "integrity": "sha512-8DPaVVE3fd5JKuIC29dqyMB54sA6mfgki2H2+swh+zNJoynC8pMPzOkidqHOSc6Wj032fhl8Z0TVn1GiPpAiJg==",
+      "engines": {
+        "node": ">=10"
+      },
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/gregberge"
+      },
+      "peerDependencies": {
+        "@babel/core": "^7.0.0-0"
+      }
+    },
+    "node_modules/docusaurus-theme-mdx-v2/node_modules/@svgr/babel-plugin-svg-dynamic-title": {
+      "version": "6.5.1",
+      "resolved": "https://registry.npmjs.org/@svgr/babel-plugin-svg-dynamic-title/-/babel-plugin-svg-dynamic-title-6.5.1.tgz",
+      "integrity": "sha512-FwOEi0Il72iAzlkaHrlemVurgSQRDFbk0OC8dSvD5fSBPHltNh7JtLsxmZUhjYBZo2PpcU/RJvvi6Q0l7O7ogw==",
+      "engines": {
+        "node": ">=10"
+      },
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/gregberge"
+      },
+      "peerDependencies": {
+        "@babel/core": "^7.0.0-0"
+      }
+    },
+    "node_modules/docusaurus-theme-mdx-v2/node_modules/@svgr/babel-plugin-svg-em-dimensions": {
+      "version": "6.5.1",
+      "resolved": "https://registry.npmjs.org/@svgr/babel-plugin-svg-em-dimensions/-/babel-plugin-svg-em-dimensions-6.5.1.tgz",
+      "integrity": "sha512-gWGsiwjb4tw+ITOJ86ndY/DZZ6cuXMNE/SjcDRg+HLuCmwpcjOktwRF9WgAiycTqJD/QXqL2f8IzE2Rzh7aVXA==",
+      "engines": {
+        "node": ">=10"
+      },
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/gregberge"
+      },
+      "peerDependencies": {
+        "@babel/core": "^7.0.0-0"
+      }
+    },
+    "node_modules/docusaurus-theme-mdx-v2/node_modules/@svgr/babel-plugin-transform-react-native-svg": {
+      "version": "6.5.1",
+      "resolved": "https://registry.npmjs.org/@svgr/babel-plugin-transform-react-native-svg/-/babel-plugin-transform-react-native-svg-6.5.1.tgz",
+      "integrity": "sha512-2jT3nTayyYP7kI6aGutkyfJ7UMGtuguD72OjeGLwVNyfPRBD8zQthlvL+fAbAKk5n9ZNcvFkp/b1lZ7VsYqVJg==",
+      "engines": {
+        "node": ">=10"
+      },
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/gregberge"
+      },
+      "peerDependencies": {
+        "@babel/core": "^7.0.0-0"
+      }
+    },
+    "node_modules/docusaurus-theme-mdx-v2/node_modules/@svgr/babel-plugin-transform-svg-component": {
+      "version": "6.5.1",
+      "resolved": "https://registry.npmjs.org/@svgr/babel-plugin-transform-svg-component/-/babel-plugin-transform-svg-component-6.5.1.tgz",
+      "integrity": "sha512-a1p6LF5Jt33O3rZoVRBqdxL350oge54iZWHNI6LJB5tQ7EelvD/Mb1mfBiZNAan0dt4i3VArkFRjA4iObuNykQ==",
+      "engines": {
+        "node": ">=12"
+      },
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/gregberge"
+      },
+      "peerDependencies": {
+        "@babel/core": "^7.0.0-0"
+      }
+    },
+    "node_modules/docusaurus-theme-mdx-v2/node_modules/@svgr/babel-preset": {
+      "version": "6.5.1",
+      "resolved": "https://registry.npmjs.org/@svgr/babel-preset/-/babel-preset-6.5.1.tgz",
+      "integrity": "sha512-6127fvO/FF2oi5EzSQOAjo1LE3OtNVh11R+/8FXa+mHx1ptAaS4cknIjnUA7e6j6fwGGJ17NzaTJFUwOV2zwCw==",
+      "dependencies": {
+        "@svgr/babel-plugin-add-jsx-attribute": "^6.5.1",
+        "@svgr/babel-plugin-remove-jsx-attribute": "*",
+        "@svgr/babel-plugin-remove-jsx-empty-expression": "*",
+        "@svgr/babel-plugin-replace-jsx-attribute-value": "^6.5.1",
+        "@svgr/babel-plugin-svg-dynamic-title": "^6.5.1",
+        "@svgr/babel-plugin-svg-em-dimensions": "^6.5.1",
+        "@svgr/babel-plugin-transform-react-native-svg": "^6.5.1",
+        "@svgr/babel-plugin-transform-svg-component": "^6.5.1"
+      },
+      "engines": {
+        "node": ">=10"
+      },
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/gregberge"
+      },
+      "peerDependencies": {
+        "@babel/core": "^7.0.0-0"
+      }
+    },
+    "node_modules/docusaurus-theme-mdx-v2/node_modules/@svgr/core": {
+      "version": "6.5.1",
+      "resolved": "https://registry.npmjs.org/@svgr/core/-/core-6.5.1.tgz",
+      "integrity": "sha512-/xdLSWxK5QkqG524ONSjvg3V/FkNyCv538OIBdQqPNaAta3AsXj/Bd2FbvR87yMbXO2hFSWiAe/Q6IkVPDw+mw==",
+      "dependencies": {
+        "@babel/core": "^7.19.6",
+        "@svgr/babel-preset": "^6.5.1",
+        "@svgr/plugin-jsx": "^6.5.1",
+        "camelcase": "^6.2.0",
+        "cosmiconfig": "^7.0.1"
+      },
+      "engines": {
+        "node": ">=10"
+      },
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/gregberge"
+      }
+    },
+    "node_modules/docusaurus-theme-mdx-v2/node_modules/@svgr/hast-util-to-babel-ast": {
+      "version": "6.5.1",
+      "resolved": "https://registry.npmjs.org/@svgr/hast-util-to-babel-ast/-/hast-util-to-babel-ast-6.5.1.tgz",
+      "integrity": "sha512-1hnUxxjd83EAxbL4a0JDJoD3Dao3hmjvyvyEV8PzWmLK3B9m9NPlW7GKjFyoWE8nM7HnXzPcmmSyOW8yOddSXw==",
+      "dependencies": {
+        "@babel/types": "^7.20.0",
+        "entities": "^4.4.0"
+      },
+      "engines": {
+        "node": ">=10"
+      },
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/gregberge"
+      }
+    },
+    "node_modules/docusaurus-theme-mdx-v2/node_modules/@svgr/plugin-jsx": {
+      "version": "6.5.1",
+      "resolved": "https://registry.npmjs.org/@svgr/plugin-jsx/-/plugin-jsx-6.5.1.tgz",
+      "integrity": "sha512-+UdQxI3jgtSjCykNSlEMuy1jSRQlGC7pqBCPvkG/2dATdWo082zHTTK3uhnAju2/6XpE6B5mZ3z4Z8Ns01S8Gw==",
+      "dependencies": {
+        "@babel/core": "^7.19.6",
+        "@svgr/babel-preset": "^6.5.1",
+        "@svgr/hast-util-to-babel-ast": "^6.5.1",
+        "svg-parser": "^2.0.4"
+      },
+      "engines": {
+        "node": ">=10"
+      },
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/gregberge"
+      },
+      "peerDependencies": {
+        "@svgr/core": "^6.0.0"
+      }
+    },
+    "node_modules/docusaurus-theme-mdx-v2/node_modules/@svgr/plugin-svgo": {
+      "version": "6.5.1",
+      "resolved": "https://registry.npmjs.org/@svgr/plugin-svgo/-/plugin-svgo-6.5.1.tgz",
+      "integrity": "sha512-omvZKf8ixP9z6GWgwbtmP9qQMPX4ODXi+wzbVZgomNFsUIlHA1sf4fThdwTWSsZGgvGAG6yE+b/F5gWUkcZ/iQ==",
+      "dependencies": {
+        "cosmiconfig": "^7.0.1",
+        "deepmerge": "^4.2.2",
+        "svgo": "^2.8.0"
+      },
+      "engines": {
+        "node": ">=10"
+      },
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/gregberge"
+      },
+      "peerDependencies": {
+        "@svgr/core": "*"
+      }
+    },
+    "node_modules/docusaurus-theme-mdx-v2/node_modules/@svgr/webpack": {
+      "version": "6.5.1",
+      "resolved": "https://registry.npmjs.org/@svgr/webpack/-/webpack-6.5.1.tgz",
+      "integrity": "sha512-cQ/AsnBkXPkEK8cLbv4Dm7JGXq2XrumKnL1dRpJD9rIO2fTIlJI9a1uCciYG1F2aUsox/hJQyNGbt3soDxSRkA==",
+      "dependencies": {
+        "@babel/core": "^7.19.6",
+        "@babel/plugin-transform-react-constant-elements": "^7.18.12",
+        "@babel/preset-env": "^7.19.4",
+        "@babel/preset-react": "^7.18.6",
+        "@babel/preset-typescript": "^7.18.6",
+        "@svgr/core": "^6.5.1",
+        "@svgr/plugin-jsx": "^6.5.1",
+        "@svgr/plugin-svgo": "^6.5.1"
+      },
+      "engines": {
+        "node": ">=10"
+      },
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/gregberge"
+      }
+    },
     "node_modules/docusaurus-theme-mdx-v2/node_modules/@types/hast": {
-      "version": "2.3.9",
-      "resolved": "https://registry.npmjs.org/@types/hast/-/hast-2.3.9.tgz",
-      "integrity": "sha512-pTHyNlaMD/oKJmS+ZZUyFUcsZeBZpC0lmGquw98CqRVNgAdJZJeD7GoeLiT6Xbx5rU9VCjSt0RwEvDgzh4obFw==",
+      "version": "2.3.10",
+      "resolved": "https://registry.npmjs.org/@types/hast/-/hast-2.3.10.tgz",
+      "integrity": "sha512-McWspRw8xx8J9HurkVBfYj0xKoE25tOFlHGdx4MJ5xORQrMGZNqJhVQWaIbm6Oyla5kYOXtDiopzKRJzEOkwJw==",
       "dependencies": {
         "@types/unist": "^2"
       }
@@ -7538,52 +7706,121 @@
         "node": ">=10"
       },
       "funding": {
-        "url": "https://github.com/chalk/chalk?sponsor=1"
-      }
-    },
-    "node_modules/docusaurus-theme-mdx-v2/node_modules/character-entities": {
-      "version": "1.2.4",
-      "resolved": "https://registry.npmjs.org/character-entities/-/character-entities-1.2.4.tgz",
-      "integrity": "sha512-iBMyeEHxfVnIakwOuDXpVkc54HijNgCyQB2w0VfGQThle6NXn50zU6V/u+LDhxHcDUPojn6Kpga3PTAD8W1bQw==",
-      "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/wooorm"
+        "url": "https://github.com/chalk/chalk?sponsor=1"
+      }
+    },
+    "node_modules/docusaurus-theme-mdx-v2/node_modules/character-entities": {
+      "version": "1.2.4",
+      "resolved": "https://registry.npmjs.org/character-entities/-/character-entities-1.2.4.tgz",
+      "integrity": "sha512-iBMyeEHxfVnIakwOuDXpVkc54HijNgCyQB2w0VfGQThle6NXn50zU6V/u+LDhxHcDUPojn6Kpga3PTAD8W1bQw==",
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/wooorm"
+      }
+    },
+    "node_modules/docusaurus-theme-mdx-v2/node_modules/character-entities-legacy": {
+      "version": "1.1.4",
+      "resolved": "https://registry.npmjs.org/character-entities-legacy/-/character-entities-legacy-1.1.4.tgz",
+      "integrity": "sha512-3Xnr+7ZFS1uxeiUDvV02wQ+QDbc55o97tIV5zHScSPJpcLm/r0DFPcoY3tYRp+VZukxuMeKgXYmsXQHO05zQeA==",
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/wooorm"
+      }
+    },
+    "node_modules/docusaurus-theme-mdx-v2/node_modules/character-reference-invalid": {
+      "version": "1.1.4",
+      "resolved": "https://registry.npmjs.org/character-reference-invalid/-/character-reference-invalid-1.1.4.tgz",
+      "integrity": "sha512-mKKUkUbhPpQlCOfIuZkvSEgktjPFIsZKRRbC6KWVEMvlzblj3i3asQv5ODsrwt0N3pHAEvjP8KTQPHkp0+6jOg==",
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/wooorm"
+      }
+    },
+    "node_modules/docusaurus-theme-mdx-v2/node_modules/color-convert": {
+      "version": "2.0.1",
+      "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-2.0.1.tgz",
+      "integrity": "sha512-RRECPsj7iu/xb5oKYcsFHSppFNnsj/52OVTRKb4zP5onXwVF3zVmmToNcOfGC+CRDpfK/U584fMg38ZHCaElKQ==",
+      "dependencies": {
+        "color-name": "~1.1.4"
+      },
+      "engines": {
+        "node": ">=7.0.0"
+      }
+    },
+    "node_modules/docusaurus-theme-mdx-v2/node_modules/color-name": {
+      "version": "1.1.4",
+      "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz",
+      "integrity": "sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA=="
+    },
+    "node_modules/docusaurus-theme-mdx-v2/node_modules/commander": {
+      "version": "7.2.0",
+      "resolved": "https://registry.npmjs.org/commander/-/commander-7.2.0.tgz",
+      "integrity": "sha512-QrWXB+ZQSVPmIWIhtEO9H+gwHaMGYiF5ChvoJ+K9ZGHG/sVsa6yiesAD1GC/x46sET00Xlwo1u49RVVVzvcSkw==",
+      "engines": {
+        "node": ">= 10"
+      }
+    },
+    "node_modules/docusaurus-theme-mdx-v2/node_modules/cosmiconfig": {
+      "version": "7.1.0",
+      "resolved": "https://registry.npmjs.org/cosmiconfig/-/cosmiconfig-7.1.0.tgz",
+      "integrity": "sha512-AdmX6xUzdNASswsFtmwSt7Vj8po9IuqXm0UXz7QKPuEUmPB4XyjGfaAr2PSuELMwkRMVH1EpIkX5bTZGRB3eCA==",
+      "dependencies": {
+        "@types/parse-json": "^4.0.0",
+        "import-fresh": "^3.2.1",
+        "parse-json": "^5.0.0",
+        "path-type": "^4.0.0",
+        "yaml": "^1.10.0"
+      },
+      "engines": {
+        "node": ">=10"
+      }
+    },
+    "node_modules/docusaurus-theme-mdx-v2/node_modules/css-select": {
+      "version": "4.3.0",
+      "resolved": "https://registry.npmjs.org/css-select/-/css-select-4.3.0.tgz",
+      "integrity": "sha512-wPpOYtnsVontu2mODhA19JrqWxNsfdatRKd64kmpRbQgh1KtItko5sTnEpPdpSaJszTOhEMlF/RPz28qj4HqhQ==",
+      "dependencies": {
+        "boolbase": "^1.0.0",
+        "css-what": "^6.0.1",
+        "domhandler": "^4.3.1",
+        "domutils": "^2.8.0",
+        "nth-check": "^2.0.1"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/fb55"
       }
     },
-    "node_modules/docusaurus-theme-mdx-v2/node_modules/character-entities-legacy": {
-      "version": "1.1.4",
-      "resolved": "https://registry.npmjs.org/character-entities-legacy/-/character-entities-legacy-1.1.4.tgz",
-      "integrity": "sha512-3Xnr+7ZFS1uxeiUDvV02wQ+QDbc55o97tIV5zHScSPJpcLm/r0DFPcoY3tYRp+VZukxuMeKgXYmsXQHO05zQeA==",
-      "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/wooorm"
+    "node_modules/docusaurus-theme-mdx-v2/node_modules/css-tree": {
+      "version": "1.1.3",
+      "resolved": "https://registry.npmjs.org/css-tree/-/css-tree-1.1.3.tgz",
+      "integrity": "sha512-tRpdppF7TRazZrjJ6v3stzv93qxRcSsFmW6cX0Zm2NVKpxE1WV1HblnghVv9TreireHkqI/VDEsfolRF1p6y7Q==",
+      "dependencies": {
+        "mdn-data": "2.0.14",
+        "source-map": "^0.6.1"
+      },
+      "engines": {
+        "node": ">=8.0.0"
       }
     },
-    "node_modules/docusaurus-theme-mdx-v2/node_modules/character-reference-invalid": {
-      "version": "1.1.4",
-      "resolved": "https://registry.npmjs.org/character-reference-invalid/-/character-reference-invalid-1.1.4.tgz",
-      "integrity": "sha512-mKKUkUbhPpQlCOfIuZkvSEgktjPFIsZKRRbC6KWVEMvlzblj3i3asQv5ODsrwt0N3pHAEvjP8KTQPHkp0+6jOg==",
-      "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/wooorm"
+    "node_modules/docusaurus-theme-mdx-v2/node_modules/css-tree/node_modules/source-map": {
+      "version": "0.6.1",
+      "resolved": "https://registry.npmjs.org/source-map/-/source-map-0.6.1.tgz",
+      "integrity": "sha512-UjgapumWlbMhkBgzT7Ykc5YXUT46F0iKu8SGXq0bcwP5dz/h0Plj6enJqjz1Zbq2l5WaqYnrVbwWOWMyF3F47g==",
+      "engines": {
+        "node": ">=0.10.0"
       }
     },
-    "node_modules/docusaurus-theme-mdx-v2/node_modules/color-convert": {
-      "version": "2.0.1",
-      "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-2.0.1.tgz",
-      "integrity": "sha512-RRECPsj7iu/xb5oKYcsFHSppFNnsj/52OVTRKb4zP5onXwVF3zVmmToNcOfGC+CRDpfK/U584fMg38ZHCaElKQ==",
+    "node_modules/docusaurus-theme-mdx-v2/node_modules/csso": {
+      "version": "4.2.0",
+      "resolved": "https://registry.npmjs.org/csso/-/csso-4.2.0.tgz",
+      "integrity": "sha512-wvlcdIbf6pwKEk7vHj8/Bkc0B4ylXZruLvOgs9doS5eOsOpuodOV2zJChSpkp+pRpYQLQMeF04nr3Z68Sta9jA==",
       "dependencies": {
-        "color-name": "~1.1.4"
+        "css-tree": "^1.1.2"
       },
       "engines": {
-        "node": ">=7.0.0"
+        "node": ">=8.0.0"
       }
     },
-    "node_modules/docusaurus-theme-mdx-v2/node_modules/color-name": {
-      "version": "1.1.4",
-      "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz",
-      "integrity": "sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA=="
-    },
     "node_modules/docusaurus-theme-mdx-v2/node_modules/docusaurus-mdx-loader-v2": {
       "version": "0.1.2",
       "resolved": "https://registry.npmjs.org/docusaurus-mdx-loader-v2/-/docusaurus-mdx-loader-v2-0.1.2.tgz",
@@ -7618,6 +7855,54 @@
         "react-dom": "^16.8.4 || ^17.0.0"
       }
     },
+    "node_modules/docusaurus-theme-mdx-v2/node_modules/dom-serializer": {
+      "version": "1.4.1",
+      "resolved": "https://registry.npmjs.org/dom-serializer/-/dom-serializer-1.4.1.tgz",
+      "integrity": "sha512-VHwB3KfrcOOkelEG2ZOfxqLZdfkil8PtJi4P8N2MMXucZq2yLp75ClViUlOVwyoHEDjYU433Aq+5zWP61+RGag==",
+      "dependencies": {
+        "domelementtype": "^2.0.1",
+        "domhandler": "^4.2.0",
+        "entities": "^2.0.0"
+      },
+      "funding": {
+        "url": "https://github.com/cheeriojs/dom-serializer?sponsor=1"
+      }
+    },
+    "node_modules/docusaurus-theme-mdx-v2/node_modules/dom-serializer/node_modules/entities": {
+      "version": "2.2.0",
+      "resolved": "https://registry.npmjs.org/entities/-/entities-2.2.0.tgz",
+      "integrity": "sha512-p92if5Nz619I0w+akJrLZH0MX0Pb5DX39XOwQTtXSdQQOaYH03S1uIQp4mhOZtAXrxq4ViO67YTiLBo2638o9A==",
+      "funding": {
+        "url": "https://github.com/fb55/entities?sponsor=1"
+      }
+    },
+    "node_modules/docusaurus-theme-mdx-v2/node_modules/domhandler": {
+      "version": "4.3.1",
+      "resolved": "https://registry.npmjs.org/domhandler/-/domhandler-4.3.1.tgz",
+      "integrity": "sha512-GrwoxYN+uWlzO8uhUXRl0P+kHE4GtVPfYzVLcUxPL7KNdHKj66vvlhiweIHqYYXWlw+T8iLMp42Lm67ghw4WMQ==",
+      "dependencies": {
+        "domelementtype": "^2.2.0"
+      },
+      "engines": {
+        "node": ">= 4"
+      },
+      "funding": {
+        "url": "https://github.com/fb55/domhandler?sponsor=1"
+      }
+    },
+    "node_modules/docusaurus-theme-mdx-v2/node_modules/domutils": {
+      "version": "2.8.0",
+      "resolved": "https://registry.npmjs.org/domutils/-/domutils-2.8.0.tgz",
+      "integrity": "sha512-w96Cjofp72M5IIhpjgobBimYEfoPjx1Vx0BSX9P30WBdZW2WIKU0T1Bd0kz2eNZ9ikjKgHbEyKx8BB6H1L3h3A==",
+      "dependencies": {
+        "dom-serializer": "^1.0.1",
+        "domelementtype": "^2.2.0",
+        "domhandler": "^4.2.0"
+      },
+      "funding": {
+        "url": "https://github.com/fb55/domutils?sponsor=1"
+      }
+    },
     "node_modules/docusaurus-theme-mdx-v2/node_modules/emoticon": {
       "version": "3.2.0",
       "resolved": "https://registry.npmjs.org/emoticon/-/emoticon-3.2.0.tgz",
@@ -8402,6 +8687,11 @@
         "url": "https://opencollective.com/unified"
       }
     },
+    "node_modules/docusaurus-theme-mdx-v2/node_modules/mdn-data": {
+      "version": "2.0.14",
+      "resolved": "https://registry.npmjs.org/mdn-data/-/mdn-data-2.0.14.tgz",
+      "integrity": "sha512-dn6wd0uw5GsdswPFfsgMp5NSB0/aDe6fK94YJV/AJDYXL6HVLWBsxeq7js7Ad+mU2K9LAlwpk6kN2D5mwCPVow=="
+    },
     "node_modules/docusaurus-theme-mdx-v2/node_modules/micromark": {
       "version": "3.2.0",
       "resolved": "https://registry.npmjs.org/micromark/-/micromark-3.2.0.tgz",
@@ -9278,6 +9568,26 @@
         "node": ">=8"
       }
     },
+    "node_modules/docusaurus-theme-mdx-v2/node_modules/svgo": {
+      "version": "2.8.0",
+      "resolved": "https://registry.npmjs.org/svgo/-/svgo-2.8.0.tgz",
+      "integrity": "sha512-+N/Q9kV1+F+UeWYoSiULYo4xYSDQlTgb+ayMobAXPwMnLvop7oxKMo9OzIrX5x3eS4L4f2UHhc9axXwY8DpChg==",
+      "dependencies": {
+        "@trysound/sax": "0.2.0",
+        "commander": "^7.2.0",
+        "css-select": "^4.1.3",
+        "css-tree": "^1.1.3",
+        "csso": "^4.2.0",
+        "picocolors": "^1.0.0",
+        "stable": "^0.1.8"
+      },
+      "bin": {
+        "svgo": "bin/svgo"
+      },
+      "engines": {
+        "node": ">=10.13.0"
+      }
+    },
     "node_modules/docusaurus-theme-mdx-v2/node_modules/unified": {
       "version": "10.1.2",
       "resolved": "https://registry.npmjs.org/unified/-/unified-10.1.2.tgz",
@@ -9457,6 +9767,14 @@
         "url": "https://opencollective.com/unified"
       }
     },
+    "node_modules/docusaurus-theme-mdx-v2/node_modules/yaml": {
+      "version": "1.10.2",
+      "resolved": "https://registry.npmjs.org/yaml/-/yaml-1.10.2.tgz",
+      "integrity": "sha512-r3vXyErRCYJ7wg28yvBY5VSoAF8ZvlcW9/BwUzEtUsjvX/DKs24dIkuwjtuprwJJHsbyUbLApepYTR1BN4uHrg==",
+      "engines": {
+        "node": ">= 6"
+      }
+    },
     "node_modules/dom-converter": {
       "version": "0.2.0",
       "resolved": "https://registry.npmjs.org/dom-converter/-/dom-converter-0.2.0.tgz",
@@ -9584,14 +9902,14 @@
       "integrity": "sha512-WMwm9LhRUo+WUaRN+vRuETqG89IgZphVSNkdFgeb6sS/E4OrDIN7t48CAewSHXc6C8lefD8KKfr5vY61brQlow=="
     },
     "node_modules/electron-to-chromium": {
-      "version": "1.4.616",
-      "resolved": "https://registry.npmjs.org/electron-to-chromium/-/electron-to-chromium-1.4.616.tgz",
-      "integrity": "sha512-1n7zWYh8eS0L9Uy+GskE0lkBUNK83cXTVJI0pU3mGprFsbfSdAc15VTFbo+A+Bq4pwstmL30AVcEU3Fo463lNg=="
+      "version": "1.4.806",
+      "resolved": "https://registry.npmjs.org/electron-to-chromium/-/electron-to-chromium-1.4.806.tgz",
+      "integrity": "sha512-nkoEX2QIB8kwCOtvtgwhXWy2IHVcOLQZu9Qo36uaGB835mdX/h8uLRlosL6QIhLVUnAiicXRW00PwaPZC74Nrg=="
     },
     "node_modules/elliptic": {
-      "version": "6.5.4",
-      "resolved": "https://registry.npmjs.org/elliptic/-/elliptic-6.5.4.tgz",
-      "integrity": "sha512-iLhC6ULemrljPZb+QutR5TQGB+pdW6KGD5RSegS+8sorOZT+rdQFbsQFJgvN3eRqNALqJer4oQ16YvJHlU8hzQ==",
+      "version": "6.5.5",
+      "resolved": "https://registry.npmjs.org/elliptic/-/elliptic-6.5.5.tgz",
+      "integrity": "sha512-7EjbcmUm17NQFu4Pmgmq2olYMj8nwMnpcddByChSUjArp8F5DQWcIcpriwO4ZToLNAJig0yiyjswfyGNje/ixw==",
       "dev": true,
       "dependencies": {
         "bn.js": "^4.11.9",
@@ -9662,9 +9980,9 @@
       }
     },
     "node_modules/enhanced-resolve": {
-      "version": "5.15.0",
-      "resolved": "https://registry.npmjs.org/enhanced-resolve/-/enhanced-resolve-5.15.0.tgz",
-      "integrity": "sha512-LXYT42KJ7lpIKECr2mAXIaMldcNCh/7E0KBKOu4KSfkHmP+mZmSs+8V5gBAqisWBy0OO4W5Oyys0GO1Y8KtdKg==",
+      "version": "5.17.0",
+      "resolved": "https://registry.npmjs.org/enhanced-resolve/-/enhanced-resolve-5.17.0.tgz",
+      "integrity": "sha512-dwDPwZL0dmye8Txp2gzFmA6sxALaSvdRDjPH0viLcKrtlOL3tw62nWWweVD1SdILDTJrbrL6tdWVN58Wo6U3eA==",
       "dependencies": {
         "graceful-fs": "^4.2.4",
         "tapable": "^2.2.0"
@@ -9707,15 +10025,34 @@
         "is-arrayish": "^0.2.1"
       }
     },
+    "node_modules/es-define-property": {
+      "version": "1.0.0",
+      "resolved": "https://registry.npmjs.org/es-define-property/-/es-define-property-1.0.0.tgz",
+      "integrity": "sha512-jxayLKShrEqqzJ0eumQbVhTYQM27CfT1T35+gCgDFoL82JLsXqTJ76zv6A0YLOgEnLUMvLzsDsGIrl8NFpT2gQ==",
+      "dependencies": {
+        "get-intrinsic": "^1.2.4"
+      },
+      "engines": {
+        "node": ">= 0.4"
+      }
+    },
+    "node_modules/es-errors": {
+      "version": "1.3.0",
+      "resolved": "https://registry.npmjs.org/es-errors/-/es-errors-1.3.0.tgz",
+      "integrity": "sha512-Zf5H2Kxt2xjTvbJvP2ZWLEICxA6j+hAmMzIlypy4xcBg1vKVnx89Wy0GbS+kf5cwCVFFzdCFh2XSCFNULS6csw==",
+      "engines": {
+        "node": ">= 0.4"
+      }
+    },
     "node_modules/es-module-lexer": {
-      "version": "1.4.1",
-      "resolved": "https://registry.npmjs.org/es-module-lexer/-/es-module-lexer-1.4.1.tgz",
-      "integrity": "sha512-cXLGjP0c4T3flZJKQSuziYoq7MlT+rnvfZjfp7h+I7K9BNX54kP9nyWvdbwjQ4u1iWbOL4u96fgeZLToQlZC7w=="
+      "version": "1.5.3",
+      "resolved": "https://registry.npmjs.org/es-module-lexer/-/es-module-lexer-1.5.3.tgz",
+      "integrity": "sha512-i1gCgmR9dCl6Vil6UKPI/trA69s08g/syhiDK9TG0Nf1RJjjFI+AzoWW7sPufzkgYAn861skuCwJa0pIIHYxvg=="
     },
     "node_modules/escalade": {
-      "version": "3.1.1",
-      "resolved": "https://registry.npmjs.org/escalade/-/escalade-3.1.1.tgz",
-      "integrity": "sha512-k0er2gUkLf8O0zKJiAhmkTnJlTvINGv7ygDNPbeIsX/TJjGJZHuh9B2UxbsaEkmlEo9MfhrSzmhIlhRlI2GXnw==",
+      "version": "3.1.2",
+      "resolved": "https://registry.npmjs.org/escalade/-/escalade-3.1.2.tgz",
+      "integrity": "sha512-ErCHMCae19vR8vQGe50xIsVomy19rg6gFu3+r3jkEO46suLMWBksvVyoGgQV+jOfl84ZSOSlmv6Gxa89PmTGmA==",
       "engines": {
         "node": ">=6"
       }
@@ -9849,16 +10186,13 @@
       }
     },
     "node_modules/estree-util-value-to-estree": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/estree-util-value-to-estree/-/estree-util-value-to-estree-3.0.1.tgz",
-      "integrity": "sha512-b2tdzTurEIbwRh+mKrEcaWfu1wgb8J1hVsgREg7FFiecWwK/PhO8X0kyc+0bIcKNtD4sqxIdNoRy6/p/TvECEA==",
+      "version": "3.1.1",
+      "resolved": "https://registry.npmjs.org/estree-util-value-to-estree/-/estree-util-value-to-estree-3.1.1.tgz",
+      "integrity": "sha512-5mvUrF2suuv5f5cGDnDphIy4/gW86z82kl5qG6mM9z04SEQI4FB5Apmaw/TGEf3l55nLtMs5s51dmhUzvAHQCA==",
       "dependencies": {
         "@types/estree": "^1.0.0",
         "is-plain-obj": "^4.0.0"
       },
-      "engines": {
-        "node": ">=16.0.0"
-      },
       "funding": {
         "url": "https://github.com/sponsors/remcohaszing"
       }
@@ -9977,16 +10311,16 @@
       }
     },
     "node_modules/express": {
-      "version": "4.18.2",
-      "resolved": "https://registry.npmjs.org/express/-/express-4.18.2.tgz",
-      "integrity": "sha512-5/PsL6iGPdfQ/lKM1UuielYgv3BUoJfz1aUwU9vHZ+J7gyvwdQXFEBIEIaxeGf0GIcreATNyBExtalisDbuMqQ==",
+      "version": "4.19.2",
+      "resolved": "https://registry.npmjs.org/express/-/express-4.19.2.tgz",
+      "integrity": "sha512-5T6nhjsT+EOMzuck8JjBHARTHfMht0POzlA60WV2pMD3gyXw2LZnZ+ueGdNxG+0calOJcWKbpFcuzLZ91YWq9Q==",
       "dependencies": {
         "accepts": "~1.3.8",
         "array-flatten": "1.1.1",
-        "body-parser": "1.20.1",
+        "body-parser": "1.20.2",
         "content-disposition": "0.5.4",
         "content-type": "~1.0.4",
-        "cookie": "0.5.0",
+        "cookie": "0.6.0",
         "cookie-signature": "1.0.6",
         "debug": "2.6.9",
         "depd": "2.0.0",
@@ -10017,11 +10351,6 @@
         "node": ">= 0.10.0"
       }
     },
-    "node_modules/express/node_modules/array-flatten": {
-      "version": "1.1.1",
-      "resolved": "https://registry.npmjs.org/array-flatten/-/array-flatten-1.1.1.tgz",
-      "integrity": "sha512-PCVAQswWemu6UdxsDFFX/+gVeYqKAod3D3UVm91jHwynguOwAvYPhx8nNlM++NqRcK6CxxpUafjmhIdKiHibqg=="
-    },
     "node_modules/express/node_modules/content-disposition": {
       "version": "0.5.4",
       "resolved": "https://registry.npmjs.org/content-disposition/-/content-disposition-0.5.4.tgz",
@@ -10133,9 +10462,9 @@
       "integrity": "sha512-jmYNElW7yvO7TV33CjSmvSiE2yco3bV2czu/OzDKdMNVZQWfxCblURLhf+47syQRBntjfLdd/H0egrzIG+oaFQ=="
     },
     "node_modules/fastq": {
-      "version": "1.16.0",
-      "resolved": "https://registry.npmjs.org/fastq/-/fastq-1.16.0.tgz",
-      "integrity": "sha512-ifCoaXsDrsdkWTtiNJX5uzHDsrck5TzfKKDcuFFTIrrc/BS076qgEIfoIy1VeZqViznfKiysPYTh/QeHtnIsYA==",
+      "version": "1.17.1",
+      "resolved": "https://registry.npmjs.org/fastq/-/fastq-1.17.1.tgz",
+      "integrity": "sha512-sRVD3lWVIXWg6By68ZN7vho9a1pQcN/WBFaAAsDDFzlJjvoGx0P8z7V1t72grFJfJhu3YPZBuu25f7Kaw2jN1w==",
       "dependencies": {
         "reusify": "^1.0.4"
       }
@@ -10274,9 +10603,9 @@
       }
     },
     "node_modules/fill-range": {
-      "version": "7.0.1",
-      "resolved": "https://registry.npmjs.org/fill-range/-/fill-range-7.0.1.tgz",
-      "integrity": "sha512-qOo9F+dMUmC2Lcb4BbVvnKJxTPjCm+RRpe4gDuGrzkL7mEVl/djYSu2OdQ2Pa302N4oqkSg9ir6jaLWJ2USVpQ==",
+      "version": "7.1.1",
+      "resolved": "https://registry.npmjs.org/fill-range/-/fill-range-7.1.1.tgz",
+      "integrity": "sha512-YsGpe3WHLK8ZYi4tWDg2Jy3ebRz2rXowDxnld4bkQB00cc/1Zw9AWnC0i9ztDJitivtQvaI9KaLyKrc+hBW0yg==",
       "dependencies": {
         "to-regex-range": "^5.0.1"
       },
@@ -10362,9 +10691,9 @@
       }
     },
     "node_modules/follow-redirects": {
-      "version": "1.15.3",
-      "resolved": "https://registry.npmjs.org/follow-redirects/-/follow-redirects-1.15.3.tgz",
-      "integrity": "sha512-1VzOtuEM8pC9SFU1E+8KfTjZyMztRsgEfwQl44z8A25uy13jSzTj6dyK2Df52iV0vgHCfBwLhDWevLn95w5v6Q==",
+      "version": "1.15.6",
+      "resolved": "https://registry.npmjs.org/follow-redirects/-/follow-redirects-1.15.6.tgz",
+      "integrity": "sha512-wWN62YITEaOpSK584EZXJafH1AGpO8RVgElfkuXbTOrPX4fIfOyEpW/CsiNd8JdYrAoOvafRTOEnvsO++qCqFA==",
       "funding": [
         {
           "type": "individual",
@@ -10390,9 +10719,9 @@
       }
     },
     "node_modules/foreground-child": {
-      "version": "3.1.1",
-      "resolved": "https://registry.npmjs.org/foreground-child/-/foreground-child-3.1.1.tgz",
-      "integrity": "sha512-TMKDUnIte6bfb5nWv7V/caI169OHgvwjb7V4WkeUvbQQdjr5rWKqHFiKWb/fcOwB+CzBT+qbWjvj+DVwRskpIg==",
+      "version": "3.2.1",
+      "resolved": "https://registry.npmjs.org/foreground-child/-/foreground-child-3.2.1.tgz",
+      "integrity": "sha512-PXUUyLqrR2XCWICfv6ukppP96sdFwWbNEnfEMt7jNsISjMsvaLNinAHNDYyvkyU+SZG2BTSbT5NjG+vZslfGTA==",
       "dependencies": {
         "cross-spawn": "^7.0.0",
         "signal-exit": "^4.0.1"
@@ -10563,17 +10892,6 @@
       "resolved": "https://registry.npmjs.org/json-schema-traverse/-/json-schema-traverse-0.4.1.tgz",
       "integrity": "sha512-xbbCH5dCYU5T8LcEhhuh7HJ88HXuW3qsI3Y0zOZFKfZEHcpWiHU/Jxzk629Brsab/mMiHQti9wMP+845RPe3Vg=="
     },
-    "node_modules/fork-ts-checker-webpack-plugin/node_modules/lru-cache": {
-      "version": "6.0.0",
-      "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-6.0.0.tgz",
-      "integrity": "sha512-Jo6dJ04CmSjuznwJSS3pUeWmd/H0ffTlkXXgwZi+eq1UCmqQwCh+eLsYOYCwY991i2Fah4h1BEMCx4qThGbsiA==",
-      "dependencies": {
-        "yallist": "^4.0.0"
-      },
-      "engines": {
-        "node": ">=10"
-      }
-    },
     "node_modules/fork-ts-checker-webpack-plugin/node_modules/schema-utils": {
       "version": "2.7.0",
       "resolved": "https://registry.npmjs.org/schema-utils/-/schema-utils-2.7.0.tgz",
@@ -10592,12 +10910,9 @@
       }
     },
     "node_modules/fork-ts-checker-webpack-plugin/node_modules/semver": {
-      "version": "7.5.4",
-      "resolved": "https://registry.npmjs.org/semver/-/semver-7.5.4.tgz",
-      "integrity": "sha512-1bCSESV6Pv+i21Hvpxp3Dx+pSD8lIPt8uVjRrxAUt/nbswYc+tK6Y2btiULjd4+fnq15PX+nqQDC7Oft7WkwcA==",
-      "dependencies": {
-        "lru-cache": "^6.0.0"
-      },
+      "version": "7.6.2",
+      "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.2.tgz",
+      "integrity": "sha512-FNAIBWCx9qcRhoHcgcJ0gvU7SN1lYU2ZXuSfl04bSC5OpvDHFyJCjdNHomPXxjQlCBU67YW64PzY7/VIEH7F2w==",
       "bin": {
         "semver": "bin/semver.js"
       },
@@ -10624,10 +10939,13 @@
         "node": ">=6"
       }
     },
-    "node_modules/fork-ts-checker-webpack-plugin/node_modules/yallist": {
-      "version": "4.0.0",
-      "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz",
-      "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A=="
+    "node_modules/fork-ts-checker-webpack-plugin/node_modules/yaml": {
+      "version": "1.10.2",
+      "resolved": "https://registry.npmjs.org/yaml/-/yaml-1.10.2.tgz",
+      "integrity": "sha512-r3vXyErRCYJ7wg28yvBY5VSoAF8ZvlcW9/BwUzEtUsjvX/DKs24dIkuwjtuprwJJHsbyUbLApepYTR1BN4uHrg==",
+      "engines": {
+        "node": ">= 6"
+      }
     },
     "node_modules/form-data-encoder": {
       "version": "2.1.4",
@@ -10715,9 +11033,9 @@
       }
     },
     "node_modules/fs-monkey": {
-      "version": "1.0.5",
-      "resolved": "https://registry.npmjs.org/fs-monkey/-/fs-monkey-1.0.5.tgz",
-      "integrity": "sha512-8uMbBjrhzW76TYgEV27Y5E//W2f/lTFmx78P2w19FZSxarhI/798APGQyuGCwmkNxgwGRhrLfvWyLBvNtuOmew=="
+      "version": "1.0.6",
+      "resolved": "https://registry.npmjs.org/fs-monkey/-/fs-monkey-1.0.6.tgz",
+      "integrity": "sha512-b1FMfwetIKymC0eioW7mTywihSQE4oLzQn1dB6rZB5fx/3NpNEdAWeCSMB+60/AeT0TCXsxzAlcYVEFCTAksWg=="
     },
     "node_modules/fs.realpath": {
       "version": "1.0.0",
@@ -10749,6 +11067,7 @@
       "version": "4.0.4",
       "resolved": "https://registry.npmjs.org/gauge/-/gauge-4.0.4.tgz",
       "integrity": "sha512-f9m+BEN5jkg6a0fZjleidjN51VE1X+mPFQ2DJ0uv1V39oCLCbsGe6yjbBnp7eK7z/+GAon99a3nHuqbuuthyPg==",
+      "deprecated": "This package is no longer supported.",
       "dev": true,
       "dependencies": {
         "aproba": "^1.0.3 || ^2.0.0",
@@ -10814,15 +11133,19 @@
       }
     },
     "node_modules/get-intrinsic": {
-      "version": "1.2.2",
-      "resolved": "https://registry.npmjs.org/get-intrinsic/-/get-intrinsic-1.2.2.tgz",
-      "integrity": "sha512-0gSo4ml/0j98Y3lngkFEot/zhiCeWsbYIlZ+uZOVgzLyLaUw7wxUL+nCTP0XJvJg1AXulJRI3UJi8GsbDuxdGA==",
+      "version": "1.2.4",
+      "resolved": "https://registry.npmjs.org/get-intrinsic/-/get-intrinsic-1.2.4.tgz",
+      "integrity": "sha512-5uYhsJH8VJBTv7oslg4BznJYhDoRI6waYCxMmCdnTrcCrHA/fCFKoTFz2JKKE0HdDFUF7/oQuhzumXJK7paBRQ==",
       "dependencies": {
+        "es-errors": "^1.3.0",
         "function-bind": "^1.1.2",
         "has-proto": "^1.0.1",
         "has-symbols": "^1.0.3",
         "hasown": "^2.0.0"
       },
+      "engines": {
+        "node": ">= 0.4"
+      },
       "funding": {
         "url": "https://github.com/sponsors/ljharb"
       }
@@ -10866,6 +11189,7 @@
       "version": "7.2.3",
       "resolved": "https://registry.npmjs.org/glob/-/glob-7.2.3.tgz",
       "integrity": "sha512-nFR0zLpU2YCaRxwoCJvL6UvCH2JFyFVIvwTLsIf21AuHlMskA1hhTdk+LlYJtOlYt9v6dvszD2BGRqBL+iQK9Q==",
+      "deprecated": "Glob versions prior to v9 are no longer supported",
       "dependencies": {
         "fs.realpath": "^1.0.0",
         "inflight": "^1.0.4",
@@ -10999,6 +11323,7 @@
       "version": "7.1.7",
       "resolved": "https://registry.npmjs.org/glob/-/glob-7.1.7.tgz",
       "integrity": "sha512-OvD9ENzPLbegENnYP5UUfJIirTg4+XwMWGaQfQTY0JenxNvvIKP3U3/tAQSPIu/lHxXYSZmpXlUHeqAIdKzBLQ==",
+      "deprecated": "Glob versions prior to v9 are no longer supported",
       "dev": true,
       "dependencies": {
         "fs.realpath": "^1.0.0",
@@ -11112,6 +11437,11 @@
         "js-yaml": "bin/js-yaml.js"
       }
     },
+    "node_modules/gray-matter/node_modules/sprintf-js": {
+      "version": "1.0.3",
+      "resolved": "https://registry.npmjs.org/sprintf-js/-/sprintf-js-1.0.3.tgz",
+      "integrity": "sha512-D9cPgkvLlV3t3IzL0D0YLvGA9Ahk4PcvVwUbN0dSGr1aP0Nrt4AEnTUbuGvquEC0mA64Gqt1fzirlRs5ibXx8g=="
+    },
     "node_modules/gzip-size": {
       "version": "6.0.0",
       "resolved": "https://registry.npmjs.org/gzip-size/-/gzip-size-6.0.0.tgz",
@@ -11149,20 +11479,20 @@
       }
     },
     "node_modules/has-property-descriptors": {
-      "version": "1.0.1",
-      "resolved": "https://registry.npmjs.org/has-property-descriptors/-/has-property-descriptors-1.0.1.tgz",
-      "integrity": "sha512-VsX8eaIewvas0xnvinAe9bw4WfIeODpGYikiWYLH+dma0Jw6KHYqWiWfhQlgOVK8D6PvjubK5Uc4P0iIhIcNVg==",
+      "version": "1.0.2",
+      "resolved": "https://registry.npmjs.org/has-property-descriptors/-/has-property-descriptors-1.0.2.tgz",
+      "integrity": "sha512-55JNKuIW+vq4Ke1BjOTjM2YctQIvCT7GFzHwmfZPGo5wnrgkid0YQtnAleFSqumZm4az3n2BS+erby5ipJdgrg==",
       "dependencies": {
-        "get-intrinsic": "^1.2.2"
+        "es-define-property": "^1.0.0"
       },
       "funding": {
         "url": "https://github.com/sponsors/ljharb"
       }
     },
     "node_modules/has-proto": {
-      "version": "1.0.1",
-      "resolved": "https://registry.npmjs.org/has-proto/-/has-proto-1.0.1.tgz",
-      "integrity": "sha512-7qE+iP+O+bgF9clE5+UoBFzE65mlBiVj3tKCrlNQ0Ogwm0BjpT/gK4SlLYDMybDh5I3TCTKnPPa0oMG7JDYrhg==",
+      "version": "1.0.3",
+      "resolved": "https://registry.npmjs.org/has-proto/-/has-proto-1.0.3.tgz",
+      "integrity": "sha512-SJ1amZAJUiZS+PhsVLf5tGydlaVB8EdFpaSO4gmiUKUOxk8qzn5AIy4ZeJUmh22znIdk/uMAUT2pl3FxzVUH+Q==",
       "engines": {
         "node": ">= 0.4"
       },
@@ -11182,12 +11512,12 @@
       }
     },
     "node_modules/has-tostringtag": {
-      "version": "1.0.0",
-      "resolved": "https://registry.npmjs.org/has-tostringtag/-/has-tostringtag-1.0.0.tgz",
-      "integrity": "sha512-kFjcSNhnlGV1kyoGk7OXKSawH5JOb/LzUc5w9B02hOTO0dfFRjbHQKvg1d6cf3HbeUmtU9VbbV3qzZ2Teh97WQ==",
+      "version": "1.0.2",
+      "resolved": "https://registry.npmjs.org/has-tostringtag/-/has-tostringtag-1.0.2.tgz",
+      "integrity": "sha512-NqADB8VjPFLM2V0VvHUewwwsw0ZWBaIdgo+ieHtK3hasLz4qeCRjYcqfB6AQrBggRKppKF8L52/VqdVsO47Dlw==",
       "dev": true,
       "dependencies": {
-        "has-symbols": "^1.0.2"
+        "has-symbols": "^1.0.3"
       },
       "engines": {
         "node": ">= 0.4"
@@ -11214,14 +11544,13 @@
       }
     },
     "node_modules/hash-base": {
-      "version": "3.1.0",
-      "resolved": "https://registry.npmjs.org/hash-base/-/hash-base-3.1.0.tgz",
-      "integrity": "sha512-1nmYp/rhMDiE7AYkDw+lLwlAzz0AntGIe51F3RfFfEqyQ3feY2eI/NcwC6umIQVOASPMsWJLJScWKSSvzL9IVA==",
+      "version": "3.0.4",
+      "resolved": "https://registry.npmjs.org/hash-base/-/hash-base-3.0.4.tgz",
+      "integrity": "sha512-EeeoJKjTyt868liAlVmcv2ZsUfGHlE3Q+BICOXcZiwN3osr5Q/zFGYmTJpoIzuaSTAwndFy+GqhEwlU4L3j4Ow==",
       "dev": true,
       "dependencies": {
-        "inherits": "^2.0.4",
-        "readable-stream": "^3.6.0",
-        "safe-buffer": "^5.2.0"
+        "inherits": "^2.0.1",
+        "safe-buffer": "^5.0.1"
       },
       "engines": {
         "node": ">=4"
@@ -11238,9 +11567,9 @@
       }
     },
     "node_modules/hasown": {
-      "version": "2.0.0",
-      "resolved": "https://registry.npmjs.org/hasown/-/hasown-2.0.0.tgz",
-      "integrity": "sha512-vUptKVTpIJhcczKBbgnS+RtcuYMB8+oNzPK2/Hp3hanz8JmpATdmmgLgSaadVREkDm+e2giHwY3ZRkyjSIDDFA==",
+      "version": "2.0.2",
+      "resolved": "https://registry.npmjs.org/hasown/-/hasown-2.0.2.tgz",
+      "integrity": "sha512-0hJU9SCPvmMzIBdZFqNPXWa6dqh7WdH0cII9y+CyS8rG3nL48Bclra9HmKhVVUHyPWNH5Y7xDwAB7bfgSjkUMQ==",
       "dependencies": {
         "function-bind": "^1.1.2"
       },
@@ -11280,9 +11609,9 @@
       }
     },
     "node_modules/hast-util-raw": {
-      "version": "9.0.1",
-      "resolved": "https://registry.npmjs.org/hast-util-raw/-/hast-util-raw-9.0.1.tgz",
-      "integrity": "sha512-5m1gmba658Q+lO5uqL5YNGQWeh1MYWZbZmWrM5lncdcuiXuo5E2HT/CIOp0rLF8ksfSwiCVJ3twlgVRyTGThGA==",
+      "version": "9.0.4",
+      "resolved": "https://registry.npmjs.org/hast-util-raw/-/hast-util-raw-9.0.4.tgz",
+      "integrity": "sha512-LHE65TD2YiNsHD3YuXcKPHXPLuYh/gjp12mOfU8jxSrm1f/yJpsb0F/KKljS6U9LJoP0Ux+tCe8iJ2AsPzTdgA==",
       "dependencies": {
         "@types/hast": "^3.0.0",
         "@types/unist": "^3.0.0",
@@ -11357,16 +11686,16 @@
       }
     },
     "node_modules/hast-util-to-jsx-runtime/node_modules/inline-style-parser": {
-      "version": "0.2.2",
-      "resolved": "https://registry.npmjs.org/inline-style-parser/-/inline-style-parser-0.2.2.tgz",
-      "integrity": "sha512-EcKzdTHVe8wFVOGEYXiW9WmJXPjqi1T+234YpJr98RiFYKHV3cdy1+3mkTE+KHTHxFFLH51SfaGOoUdW+v7ViQ=="
+      "version": "0.2.3",
+      "resolved": "https://registry.npmjs.org/inline-style-parser/-/inline-style-parser-0.2.3.tgz",
+      "integrity": "sha512-qlD8YNDqyTKTyuITrDOffsl6Tdhv+UC4hcdAVuQsK4IMQ99nSgd1MIA/Q+jQYoh9r3hVUXhYh7urSRmXPkW04g=="
     },
     "node_modules/hast-util-to-jsx-runtime/node_modules/style-to-object": {
-      "version": "1.0.5",
-      "resolved": "https://registry.npmjs.org/style-to-object/-/style-to-object-1.0.5.tgz",
-      "integrity": "sha512-rDRwHtoDD3UMMrmZ6BzOW0naTjMsVZLIjsGleSKS/0Oz+cgCfAPRspaqJuE8rDzpKha/nEvnM0IF4seEAZUTKQ==",
+      "version": "1.0.6",
+      "resolved": "https://registry.npmjs.org/style-to-object/-/style-to-object-1.0.6.tgz",
+      "integrity": "sha512-khxq+Qm3xEyZfKd/y9L3oIWQimxuc4STrQKtQn8aSDRHb8mFgpukgX1hdzfrMEW6JCjyJ8p89x+IUMVnCBI1PA==",
       "dependencies": {
-        "inline-style-parser": "0.2.2"
+        "inline-style-parser": "0.2.3"
       }
     },
     "node_modules/hast-util-to-parse5": {
@@ -11556,9 +11885,9 @@
       }
     },
     "node_modules/html-entities": {
-      "version": "2.4.0",
-      "resolved": "https://registry.npmjs.org/html-entities/-/html-entities-2.4.0.tgz",
-      "integrity": "sha512-igBTJcNNNhvZFRtm8uA6xMY6xYleeDwn3PeBCkDz7tHttv4F2hsDI2aPgNERWzvRcNYHNT3ymRaQzllmXj4YsQ==",
+      "version": "2.5.2",
+      "resolved": "https://registry.npmjs.org/html-entities/-/html-entities-2.5.2.tgz",
+      "integrity": "sha512-K//PSRMQk4FZ78Kyau+mZurHn3FH0Vwr+H36eE0rPbeYkRRi9YxceYPhuN60UwWorxyKHhqoAJl2OFKa4BVtaA==",
       "funding": [
         {
           "type": "github",
@@ -11907,17 +12236,17 @@
       ]
     },
     "node_modules/ignore": {
-      "version": "5.3.0",
-      "resolved": "https://registry.npmjs.org/ignore/-/ignore-5.3.0.tgz",
-      "integrity": "sha512-g7dmpshy+gD7mh88OC9NwSGTKoc3kyLAZQRU1mt53Aw/vnvfXnbC+F/7F7QoYVKbV+KNvJx8wArewKy1vXMtlg==",
+      "version": "5.3.1",
+      "resolved": "https://registry.npmjs.org/ignore/-/ignore-5.3.1.tgz",
+      "integrity": "sha512-5Fytz/IraMjqpwfd34ke28PTVMjZjJG2MPn5t7OE4eUCUNf8BAa7b5WUS9/Qvr6mwOQS7Mk6vdsMno5he+T8Xw==",
       "engines": {
         "node": ">= 4"
       }
     },
     "node_modules/image-size": {
-      "version": "1.1.0",
-      "resolved": "https://registry.npmjs.org/image-size/-/image-size-1.1.0.tgz",
-      "integrity": "sha512-asnTHw2K8OlqT5kVnQwX+AGKQqpvLo95LbNzQ/C0ln3yzentZmAdd0ygoD004VC4Kkd4PV7J2iaPQkqwp9yuTw==",
+      "version": "1.1.1",
+      "resolved": "https://registry.npmjs.org/image-size/-/image-size-1.1.1.tgz",
+      "integrity": "sha512-541xKlUw6jr/6gGuk92F+mYM5zaFAc5ahphvkqvNe2bQ6gVBkd6bfrmVJ2t4KDAfikAYZyIqTnktX3i6/aQDrQ==",
       "dependencies": {
         "queue": "6.0.2"
       },
@@ -11925,7 +12254,7 @@
         "image-size": "bin/image-size.js"
       },
       "engines": {
-        "node": ">=18.0.0"
+        "node": ">=16.x"
       }
     },
     "node_modules/imgix-url-builder": {
@@ -11946,9 +12275,9 @@
       }
     },
     "node_modules/immutable": {
-      "version": "4.3.4",
-      "resolved": "https://registry.npmjs.org/immutable/-/immutable-4.3.4.tgz",
-      "integrity": "sha512-fsXeu4J4i6WNWSikpI88v/PcVflZz+6kMhUfIwc5SY+poQRPnaf5V7qds6SUyUN3cVxEzuCab7QIoLOQ+DQ1wA==",
+      "version": "4.3.6",
+      "resolved": "https://registry.npmjs.org/immutable/-/immutable-4.3.6.tgz",
+      "integrity": "sha512-Ju0+lEMyzMVZarkTn/gqRpdqd5dOPaz1mCZ0SH3JV6iFw81PldE/PEB1hWVEA288HPt4WXW8O7AWxB10M+03QQ==",
       "dev": true
     },
     "node_modules/import-fresh": {
@@ -12008,6 +12337,7 @@
       "version": "1.0.6",
       "resolved": "https://registry.npmjs.org/inflight/-/inflight-1.0.6.tgz",
       "integrity": "sha512-k92I/b08q4wvFscXCLvqfsHCrjrF7yiXsQuIVvVE7N82W3+aqpzuUdBbfhWcy/FZR3/4IgflMgKLOsvPDrGCJA==",
+      "deprecated": "This module is not supported, and leaks memory. Do not use it. Check out lru-cache if you want a good and tested way to coalesce async requests by a key value, which is much more comprehensive and powerful.",
       "dependencies": {
         "once": "^1.3.0",
         "wrappy": "1"
@@ -12044,16 +12374,23 @@
         "loose-envify": "^1.0.0"
       }
     },
-    "node_modules/ip": {
-      "version": "2.0.0",
-      "resolved": "https://registry.npmjs.org/ip/-/ip-2.0.0.tgz",
-      "integrity": "sha512-WKa+XuLG1A1R0UWhl2+1XQSi+fZWMsYKffMZTTYsiZaUD8k2yDAj5atimTUD2TZkyCkNEeYE5NhFZmupOGtjYQ==",
-      "dev": true
+    "node_modules/ip-address": {
+      "version": "9.0.5",
+      "resolved": "https://registry.npmjs.org/ip-address/-/ip-address-9.0.5.tgz",
+      "integrity": "sha512-zHtQzGojZXTwZTHQqra+ETKd4Sn3vgi7uBmlPoXVWZqYvuKmtI0l/VZTjqGmJY9x88GGOaZ9+G9ES8hC4T4X8g==",
+      "dev": true,
+      "dependencies": {
+        "jsbn": "1.1.0",
+        "sprintf-js": "^1.1.3"
+      },
+      "engines": {
+        "node": ">= 12"
+      }
     },
     "node_modules/ipaddr.js": {
-      "version": "2.1.0",
-      "resolved": "https://registry.npmjs.org/ipaddr.js/-/ipaddr.js-2.1.0.tgz",
-      "integrity": "sha512-LlbxQ7xKzfBusov6UMi4MFpEg0m+mAm9xyNGEduwXMEDuf4WfzB/RZwMVYEd7IKGvh4IUkEXYxtAVu9T3OelJQ==",
+      "version": "2.2.0",
+      "resolved": "https://registry.npmjs.org/ipaddr.js/-/ipaddr.js-2.2.0.tgz",
+      "integrity": "sha512-Ag3wB2o37wslZS19hZqorUnrnzSkpOVy+IiiDEiTqNubEYpYuHWIf6K4psgN2ZWKExS4xhVCrRVfb/wfW8fWJA==",
       "engines": {
         "node": ">= 10"
       }
@@ -12342,9 +12679,12 @@
       }
     },
     "node_modules/is-plain-object": {
-      "version": "5.0.0",
-      "resolved": "https://registry.npmjs.org/is-plain-object/-/is-plain-object-5.0.0.tgz",
-      "integrity": "sha512-VRSzKkbMm5jMDoKLbltAkFQ5Qr7VDiTFGXxYFXXowVj387GeGNOCsOH6Msy00SGZ3Fp84b1Naa1psqgcCIEP5Q==",
+      "version": "2.0.4",
+      "resolved": "https://registry.npmjs.org/is-plain-object/-/is-plain-object-2.0.4.tgz",
+      "integrity": "sha512-h5PpgXkWitc38BBMYawTYMWJHFZJVnBquFE57xFpjB8pJFiF6gZ+bU+WyI/yqXiFR5mdLsgYNaPe8uao6Uv9Og==",
+      "dependencies": {
+        "isobject": "^3.0.1"
+      },
       "engines": {
         "node": ">=0.10.0"
       }
@@ -12385,12 +12725,12 @@
       }
     },
     "node_modules/is-typed-array": {
-      "version": "1.1.12",
-      "resolved": "https://registry.npmjs.org/is-typed-array/-/is-typed-array-1.1.12.tgz",
-      "integrity": "sha512-Z14TF2JNG8Lss5/HMqt0//T9JeHXttXy5pH/DBU4vi98ozO2btxzq9MwYDZYnKwU8nRsz/+GVFVRDq3DkVuSPg==",
+      "version": "1.1.13",
+      "resolved": "https://registry.npmjs.org/is-typed-array/-/is-typed-array-1.1.13.tgz",
+      "integrity": "sha512-uZ25/bUAlUY5fR4OKT4rZQEBrzQWYV9ZJYGGsUmEJ6thodVJ1HX64ePQ6Z0qPWP+m+Uq6e9UugrE38jeYsDSMw==",
       "dev": true,
       "dependencies": {
-        "which-typed-array": "^1.1.11"
+        "which-typed-array": "^1.1.14"
       },
       "engines": {
         "node": ">= 0.4"
@@ -12442,9 +12782,9 @@
       }
     },
     "node_modules/jackspeak": {
-      "version": "2.3.6",
-      "resolved": "https://registry.npmjs.org/jackspeak/-/jackspeak-2.3.6.tgz",
-      "integrity": "sha512-N3yCS/NegsOBokc8GAdM8UcmfsKiSS8cipheD/nivzr700H+nsMOxJjQnvwOcRYVuFkdH0wGUvW2WbXGmrZGbQ==",
+      "version": "3.4.0",
+      "resolved": "https://registry.npmjs.org/jackspeak/-/jackspeak-3.4.0.tgz",
+      "integrity": "sha512-JVYhQnN59LVPFCEcVa2C3CrEKYacvjRfqIQl+h8oi91aLYQVWRYbxjPcv1bUiUy/kLmQaANrYfNMCO3kuEDHfw==",
       "dependencies": {
         "@isaacs/cliui": "^8.0.2"
       },
@@ -12575,21 +12915,21 @@
       }
     },
     "node_modules/jiti": {
-      "version": "1.21.0",
-      "resolved": "https://registry.npmjs.org/jiti/-/jiti-1.21.0.tgz",
-      "integrity": "sha512-gFqAIbuKyyso/3G2qhiO2OM6shY6EPP/R0+mkDbyspxKazh8BXDC5FiFsUjlczgdNz/vfra0da2y+aHrusLG/Q==",
+      "version": "1.21.6",
+      "resolved": "https://registry.npmjs.org/jiti/-/jiti-1.21.6.tgz",
+      "integrity": "sha512-2yTgeWTWzMWkHu6Jp9NKgePDaYHbntiwvYuuJLbbN9vl7DC9DvXKOB2BC3ZZ92D3cvV/aflH0osDfwpHepQ53w==",
       "bin": {
         "jiti": "bin/jiti.js"
       }
     },
     "node_modules/joi": {
-      "version": "17.11.0",
-      "resolved": "https://registry.npmjs.org/joi/-/joi-17.11.0.tgz",
-      "integrity": "sha512-NgB+lZLNoqISVy1rZocE9PZI36bL/77ie924Ri43yEvi9GUUMPeyVIr8KdFTMUlby1p0PBYMk9spIxEUQYqrJQ==",
+      "version": "17.13.2",
+      "resolved": "https://registry.npmjs.org/joi/-/joi-17.13.2.tgz",
+      "integrity": "sha512-QJQKY10YowIi6yUpDQG9YpeWLD+OHYlY/La8gk7VitrXfy34quHwCu4QKNlBV1rpgQj0YpnWWl4JM+3DU6GapQ==",
       "dependencies": {
-        "@hapi/hoek": "^9.0.0",
-        "@hapi/topo": "^5.0.0",
-        "@sideway/address": "^4.1.3",
+        "@hapi/hoek": "^9.3.0",
+        "@hapi/topo": "^5.1.0",
+        "@sideway/address": "^4.1.5",
         "@sideway/formula": "^3.0.1",
         "@sideway/pinpoint": "^2.0.0"
       }
@@ -12621,6 +12961,12 @@
         "js-yaml": "bin/js-yaml.js"
       }
     },
+    "node_modules/jsbn": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/jsbn/-/jsbn-1.1.0.tgz",
+      "integrity": "sha512-4bYVV3aAMtDTTu4+xsDYa6sy9GyJ69/amsu9sYF2zqjiEoZA5xJi3BrfX3uY+/IekIu7MwdObdbDWpoZdBv3/A==",
+      "dev": true
+    },
     "node_modules/jsesc": {
       "version": "2.5.2",
       "resolved": "https://registry.npmjs.org/jsesc/-/jsesc-2.5.2.tgz",
@@ -12708,9 +13054,9 @@
       }
     },
     "node_modules/launch-editor": {
-      "version": "2.6.1",
-      "resolved": "https://registry.npmjs.org/launch-editor/-/launch-editor-2.6.1.tgz",
-      "integrity": "sha512-eB/uXmFVpY4zezmGp5XtU21kwo7GBbKB+EQ+UZeWtGb9yAM5xt/Evk+lYH3eRNAtId+ej4u7TYPFZ07w4s7rRw==",
+      "version": "2.8.0",
+      "resolved": "https://registry.npmjs.org/launch-editor/-/launch-editor-2.8.0.tgz",
+      "integrity": "sha512-vJranOAJrI/llyWGRQqiDM+adrw+k83fvmmx3+nV47g3+36xM15jE+zyZ6Ffel02+xSvuM0b2GDRosXZkbb6wA==",
       "dependencies": {
         "picocolors": "^1.0.0",
         "shell-quote": "^1.8.1"
@@ -12725,11 +13071,14 @@
       }
     },
     "node_modules/lilconfig": {
-      "version": "2.1.0",
-      "resolved": "https://registry.npmjs.org/lilconfig/-/lilconfig-2.1.0.tgz",
-      "integrity": "sha512-utWOt/GHzuUxnLKxB6dk81RoOeoNeHgbrXiuGk4yyF5qlRz+iIVWu56E2fqGHFrXz0QNUhLB/8nKqvRH66JKGQ==",
+      "version": "3.1.2",
+      "resolved": "https://registry.npmjs.org/lilconfig/-/lilconfig-3.1.2.tgz",
+      "integrity": "sha512-eop+wDAvpItUys0FWkHIKeC9ybYrTGbU41U5K7+bttZZeohvnY7M9dZ5kB21GNWiFT2q1OoPTvncPCgSOVO5ow==",
       "engines": {
-        "node": ">=10"
+        "node": ">=14"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/antonk52"
       }
     },
     "node_modules/lines-and-columns": {
@@ -13077,9 +13426,9 @@
       }
     },
     "node_modules/mdast-util-from-markdown": {
-      "version": "2.0.0",
-      "resolved": "https://registry.npmjs.org/mdast-util-from-markdown/-/mdast-util-from-markdown-2.0.0.tgz",
-      "integrity": "sha512-n7MTOr/z+8NAX/wmhhDji8O3bRvPTV/U0oTCaZJkjhPSKTPhS3xufVhKGF8s1pJ7Ox4QgoIU7KHseh09S+9rTA==",
+      "version": "2.0.1",
+      "resolved": "https://registry.npmjs.org/mdast-util-from-markdown/-/mdast-util-from-markdown-2.0.1.tgz",
+      "integrity": "sha512-aJEUyzZ6TzlsX2s5B4Of7lN7EQtAxvtradMMglCQDyaTFgse6CmtmdJ15ElnVRlCg1vpNyVtbem0PWzlNieZsA==",
       "dependencies": {
         "@types/mdast": "^4.0.0",
         "@types/unist": "^3.0.0",
@@ -13177,9 +13526,9 @@
       }
     },
     "node_modules/mdast-util-gfm-autolink-literal/node_modules/micromark-util-character": {
-      "version": "2.0.1",
-      "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-2.0.1.tgz",
-      "integrity": "sha512-3wgnrmEAJ4T+mGXAUfMvMAbxU9RDG43XmGce4j6CwPtVxB3vfwXSZ6KhFwDzZ3mZHhmPimMAXg71veiBGzeAZw==",
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-2.1.0.tgz",
+      "integrity": "sha512-KvOVV+X1yLBfs9dCBSopq/+G1PcgT3lAK07mC4BzXi5E7ahzMAF8oIupDDJ6mievI6F+lAATkbQQlQixJfT3aQ==",
       "funding": [
         {
           "type": "GitHub Sponsors",
@@ -13305,9 +13654,9 @@
       }
     },
     "node_modules/mdast-util-mdx-jsx": {
-      "version": "3.0.0",
-      "resolved": "https://registry.npmjs.org/mdast-util-mdx-jsx/-/mdast-util-mdx-jsx-3.0.0.tgz",
-      "integrity": "sha512-XZuPPzQNBPAlaqsTTgRrcJnyFbSOBovSadFgbFu8SnuNgm+6Bdx1K+IWoitsmj6Lq6MNtI+ytOqwN70n//NaBA==",
+      "version": "3.1.2",
+      "resolved": "https://registry.npmjs.org/mdast-util-mdx-jsx/-/mdast-util-mdx-jsx-3.1.2.tgz",
+      "integrity": "sha512-eKMQDeywY2wlHc97k5eD8VC+9ASMjN8ItEZQNGwJ6E0XWKiW/Z0V5/H8pvoXUf+y+Mj0VIgeRRbujBmFn4FTyA==",
       "dependencies": {
         "@types/estree-jsx": "^1.0.0",
         "@types/hast": "^3.0.0",
@@ -13346,9 +13695,9 @@
       }
     },
     "node_modules/mdast-util-phrasing": {
-      "version": "4.0.0",
-      "resolved": "https://registry.npmjs.org/mdast-util-phrasing/-/mdast-util-phrasing-4.0.0.tgz",
-      "integrity": "sha512-xadSsJayQIucJ9n053dfQwVu1kuXg7jCTdYsMK8rqzKZh52nLfSH/k0sAxE0u+pj/zKZX+o5wB+ML5mRayOxFA==",
+      "version": "4.1.0",
+      "resolved": "https://registry.npmjs.org/mdast-util-phrasing/-/mdast-util-phrasing-4.1.0.tgz",
+      "integrity": "sha512-TqICwyvJJpBwvGAMZjj4J2n0X8QWp21b9l0o7eXyVJ25YNWYbJDVIyD1bZXE6WtV6RmKJVYmQAKWa0zWOABz2w==",
       "dependencies": {
         "@types/mdast": "^4.0.0",
         "unist-util-is": "^6.0.0"
@@ -13359,9 +13708,9 @@
       }
     },
     "node_modules/mdast-util-to-hast": {
-      "version": "13.0.2",
-      "resolved": "https://registry.npmjs.org/mdast-util-to-hast/-/mdast-util-to-hast-13.0.2.tgz",
-      "integrity": "sha512-U5I+500EOOw9e3ZrclN3Is3fRpw8c19SMyNZlZ2IS+7vLsNzb2Om11VpIVOR+/0137GhZsFEF6YiKD5+0Hr2Og==",
+      "version": "13.2.0",
+      "resolved": "https://registry.npmjs.org/mdast-util-to-hast/-/mdast-util-to-hast-13.2.0.tgz",
+      "integrity": "sha512-QGYKEuUsYT9ykKBCMOEDLsU5JRObWQusAolFMeko/tYPufNkRffBAQjIE+99jbA87xv6FgmjLtwjh9wBWajwAA==",
       "dependencies": {
         "@types/hast": "^3.0.0",
         "@types/mdast": "^4.0.0",
@@ -13370,7 +13719,8 @@
         "micromark-util-sanitize-uri": "^2.0.0",
         "trim-lines": "^3.0.0",
         "unist-util-position": "^5.0.0",
-        "unist-util-visit": "^5.0.0"
+        "unist-util-visit": "^5.0.0",
+        "vfile": "^6.0.0"
       },
       "funding": {
         "type": "opencollective",
@@ -13409,9 +13759,9 @@
       }
     },
     "node_modules/mdn-data": {
-      "version": "2.0.14",
-      "resolved": "https://registry.npmjs.org/mdn-data/-/mdn-data-2.0.14.tgz",
-      "integrity": "sha512-dn6wd0uw5GsdswPFfsgMp5NSB0/aDe6fK94YJV/AJDYXL6HVLWBsxeq7js7Ad+mU2K9LAlwpk6kN2D5mwCPVow=="
+      "version": "2.0.30",
+      "resolved": "https://registry.npmjs.org/mdn-data/-/mdn-data-2.0.30.tgz",
+      "integrity": "sha512-GaqWWShW4kv/G9IEucWScBx9G1/vsFZZJUO+tD26M8J8z3Kw5RDQjaoZe03YAClgeS/SWPOcb4nkFBTEi5DUEA=="
     },
     "node_modules/media-typer": {
       "version": "0.3.0",
@@ -13541,9 +13891,9 @@
       }
     },
     "node_modules/micromark-core-commonmark": {
-      "version": "2.0.0",
-      "resolved": "https://registry.npmjs.org/micromark-core-commonmark/-/micromark-core-commonmark-2.0.0.tgz",
-      "integrity": "sha512-jThOz/pVmAYUtkroV3D5c1osFXAMv9e0ypGDOIZuCeAe91/sD6BoE2Sjzt30yuXtwOYUmySOhMas/PVyh02itA==",
+      "version": "2.0.1",
+      "resolved": "https://registry.npmjs.org/micromark-core-commonmark/-/micromark-core-commonmark-2.0.1.tgz",
+      "integrity": "sha512-CUQyKr1e///ZODyD1U3xit6zXwy1a8q2a1S1HKtIlmgvurrEpaw/Y9y6KSIbF8P59cn/NjzHyO+Q2fAyYLQrAA==",
       "funding": [
         {
           "type": "GitHub Sponsors",
@@ -13593,9 +13943,9 @@
       }
     },
     "node_modules/micromark-core-commonmark/node_modules/micromark-util-character": {
-      "version": "2.0.1",
-      "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-2.0.1.tgz",
-      "integrity": "sha512-3wgnrmEAJ4T+mGXAUfMvMAbxU9RDG43XmGce4j6CwPtVxB3vfwXSZ6KhFwDzZ3mZHhmPimMAXg71veiBGzeAZw==",
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-2.1.0.tgz",
+      "integrity": "sha512-KvOVV+X1yLBfs9dCBSopq/+G1PcgT3lAK07mC4BzXi5E7ahzMAF8oIupDDJ6mievI6F+lAATkbQQlQixJfT3aQ==",
       "funding": [
         {
           "type": "GitHub Sponsors",
@@ -13664,9 +14014,9 @@
       }
     },
     "node_modules/micromark-extension-directive/node_modules/micromark-util-character": {
-      "version": "2.0.1",
-      "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-2.0.1.tgz",
-      "integrity": "sha512-3wgnrmEAJ4T+mGXAUfMvMAbxU9RDG43XmGce4j6CwPtVxB3vfwXSZ6KhFwDzZ3mZHhmPimMAXg71veiBGzeAZw==",
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-2.1.0.tgz",
+      "integrity": "sha512-KvOVV+X1yLBfs9dCBSopq/+G1PcgT3lAK07mC4BzXi5E7ahzMAF8oIupDDJ6mievI6F+lAATkbQQlQixJfT3aQ==",
       "funding": [
         {
           "type": "GitHub Sponsors",
@@ -13713,9 +14063,9 @@
       }
     },
     "node_modules/micromark-extension-frontmatter/node_modules/micromark-util-character": {
-      "version": "2.0.1",
-      "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-2.0.1.tgz",
-      "integrity": "sha512-3wgnrmEAJ4T+mGXAUfMvMAbxU9RDG43XmGce4j6CwPtVxB3vfwXSZ6KhFwDzZ3mZHhmPimMAXg71veiBGzeAZw==",
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-2.1.0.tgz",
+      "integrity": "sha512-KvOVV+X1yLBfs9dCBSopq/+G1PcgT3lAK07mC4BzXi5E7ahzMAF8oIupDDJ6mievI6F+lAATkbQQlQixJfT3aQ==",
       "funding": [
         {
           "type": "GitHub Sponsors",
@@ -13781,9 +14131,9 @@
       }
     },
     "node_modules/micromark-extension-gfm-autolink-literal/node_modules/micromark-util-character": {
-      "version": "2.0.1",
-      "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-2.0.1.tgz",
-      "integrity": "sha512-3wgnrmEAJ4T+mGXAUfMvMAbxU9RDG43XmGce4j6CwPtVxB3vfwXSZ6KhFwDzZ3mZHhmPimMAXg71veiBGzeAZw==",
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-2.1.0.tgz",
+      "integrity": "sha512-KvOVV+X1yLBfs9dCBSopq/+G1PcgT3lAK07mC4BzXi5E7ahzMAF8oIupDDJ6mievI6F+lAATkbQQlQixJfT3aQ==",
       "funding": [
         {
           "type": "GitHub Sponsors",
@@ -13853,9 +14203,9 @@
       }
     },
     "node_modules/micromark-extension-gfm-footnote/node_modules/micromark-util-character": {
-      "version": "2.0.1",
-      "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-2.0.1.tgz",
-      "integrity": "sha512-3wgnrmEAJ4T+mGXAUfMvMAbxU9RDG43XmGce4j6CwPtVxB3vfwXSZ6KhFwDzZ3mZHhmPimMAXg71veiBGzeAZw==",
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-2.1.0.tgz",
+      "integrity": "sha512-KvOVV+X1yLBfs9dCBSopq/+G1PcgT3lAK07mC4BzXi5E7ahzMAF8oIupDDJ6mievI6F+lAATkbQQlQixJfT3aQ==",
       "funding": [
         {
           "type": "GitHub Sponsors",
@@ -13954,9 +14304,9 @@
       }
     },
     "node_modules/micromark-extension-gfm-table/node_modules/micromark-util-character": {
-      "version": "2.0.1",
-      "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-2.0.1.tgz",
-      "integrity": "sha512-3wgnrmEAJ4T+mGXAUfMvMAbxU9RDG43XmGce4j6CwPtVxB3vfwXSZ6KhFwDzZ3mZHhmPimMAXg71veiBGzeAZw==",
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-2.1.0.tgz",
+      "integrity": "sha512-KvOVV+X1yLBfs9dCBSopq/+G1PcgT3lAK07mC4BzXi5E7ahzMAF8oIupDDJ6mievI6F+lAATkbQQlQixJfT3aQ==",
       "funding": [
         {
           "type": "GitHub Sponsors",
@@ -14035,9 +14385,9 @@
       }
     },
     "node_modules/micromark-extension-gfm-task-list-item/node_modules/micromark-util-character": {
-      "version": "2.0.1",
-      "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-2.0.1.tgz",
-      "integrity": "sha512-3wgnrmEAJ4T+mGXAUfMvMAbxU9RDG43XmGce4j6CwPtVxB3vfwXSZ6KhFwDzZ3mZHhmPimMAXg71veiBGzeAZw==",
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-2.1.0.tgz",
+      "integrity": "sha512-KvOVV+X1yLBfs9dCBSopq/+G1PcgT3lAK07mC4BzXi5E7ahzMAF8oIupDDJ6mievI6F+lAATkbQQlQixJfT3aQ==",
       "funding": [
         {
           "type": "GitHub Sponsors",
@@ -14113,9 +14463,9 @@
       }
     },
     "node_modules/micromark-extension-mdx-expression/node_modules/micromark-util-character": {
-      "version": "2.0.1",
-      "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-2.0.1.tgz",
-      "integrity": "sha512-3wgnrmEAJ4T+mGXAUfMvMAbxU9RDG43XmGce4j6CwPtVxB3vfwXSZ6KhFwDzZ3mZHhmPimMAXg71veiBGzeAZw==",
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-2.1.0.tgz",
+      "integrity": "sha512-KvOVV+X1yLBfs9dCBSopq/+G1PcgT3lAK07mC4BzXi5E7ahzMAF8oIupDDJ6mievI6F+lAATkbQQlQixJfT3aQ==",
       "funding": [
         {
           "type": "GitHub Sponsors",
@@ -14187,9 +14537,9 @@
       }
     },
     "node_modules/micromark-extension-mdx-jsx/node_modules/micromark-util-character": {
-      "version": "2.0.1",
-      "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-2.0.1.tgz",
-      "integrity": "sha512-3wgnrmEAJ4T+mGXAUfMvMAbxU9RDG43XmGce4j6CwPtVxB3vfwXSZ6KhFwDzZ3mZHhmPimMAXg71veiBGzeAZw==",
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-2.1.0.tgz",
+      "integrity": "sha512-KvOVV+X1yLBfs9dCBSopq/+G1PcgT3lAK07mC4BzXi5E7ahzMAF8oIupDDJ6mievI6F+lAATkbQQlQixJfT3aQ==",
       "funding": [
         {
           "type": "GitHub Sponsors",
@@ -14272,9 +14622,9 @@
       }
     },
     "node_modules/micromark-extension-mdxjs-esm/node_modules/micromark-util-character": {
-      "version": "2.0.1",
-      "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-2.0.1.tgz",
-      "integrity": "sha512-3wgnrmEAJ4T+mGXAUfMvMAbxU9RDG43XmGce4j6CwPtVxB3vfwXSZ6KhFwDzZ3mZHhmPimMAXg71veiBGzeAZw==",
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-2.1.0.tgz",
+      "integrity": "sha512-KvOVV+X1yLBfs9dCBSopq/+G1PcgT3lAK07mC4BzXi5E7ahzMAF8oIupDDJ6mievI6F+lAATkbQQlQixJfT3aQ==",
       "funding": [
         {
           "type": "GitHub Sponsors",
@@ -14326,9 +14676,9 @@
       }
     },
     "node_modules/micromark-factory-destination/node_modules/micromark-util-character": {
-      "version": "2.0.1",
-      "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-2.0.1.tgz",
-      "integrity": "sha512-3wgnrmEAJ4T+mGXAUfMvMAbxU9RDG43XmGce4j6CwPtVxB3vfwXSZ6KhFwDzZ3mZHhmPimMAXg71veiBGzeAZw==",
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-2.1.0.tgz",
+      "integrity": "sha512-KvOVV+X1yLBfs9dCBSopq/+G1PcgT3lAK07mC4BzXi5E7ahzMAF8oIupDDJ6mievI6F+lAATkbQQlQixJfT3aQ==",
       "funding": [
         {
           "type": "GitHub Sponsors",
@@ -14381,9 +14731,9 @@
       }
     },
     "node_modules/micromark-factory-label/node_modules/micromark-util-character": {
-      "version": "2.0.1",
-      "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-2.0.1.tgz",
-      "integrity": "sha512-3wgnrmEAJ4T+mGXAUfMvMAbxU9RDG43XmGce4j6CwPtVxB3vfwXSZ6KhFwDzZ3mZHhmPimMAXg71veiBGzeAZw==",
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-2.1.0.tgz",
+      "integrity": "sha512-KvOVV+X1yLBfs9dCBSopq/+G1PcgT3lAK07mC4BzXi5E7ahzMAF8oIupDDJ6mievI6F+lAATkbQQlQixJfT3aQ==",
       "funding": [
         {
           "type": "GitHub Sponsors",
@@ -14440,9 +14790,9 @@
       }
     },
     "node_modules/micromark-factory-mdx-expression/node_modules/micromark-util-character": {
-      "version": "2.0.1",
-      "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-2.0.1.tgz",
-      "integrity": "sha512-3wgnrmEAJ4T+mGXAUfMvMAbxU9RDG43XmGce4j6CwPtVxB3vfwXSZ6KhFwDzZ3mZHhmPimMAXg71veiBGzeAZw==",
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-2.1.0.tgz",
+      "integrity": "sha512-KvOVV+X1yLBfs9dCBSopq/+G1PcgT3lAK07mC4BzXi5E7ahzMAF8oIupDDJ6mievI6F+lAATkbQQlQixJfT3aQ==",
       "funding": [
         {
           "type": "GitHub Sponsors",
@@ -14548,9 +14898,9 @@
       }
     },
     "node_modules/micromark-factory-title/node_modules/micromark-util-character": {
-      "version": "2.0.1",
-      "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-2.0.1.tgz",
-      "integrity": "sha512-3wgnrmEAJ4T+mGXAUfMvMAbxU9RDG43XmGce4j6CwPtVxB3vfwXSZ6KhFwDzZ3mZHhmPimMAXg71veiBGzeAZw==",
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-2.1.0.tgz",
+      "integrity": "sha512-KvOVV+X1yLBfs9dCBSopq/+G1PcgT3lAK07mC4BzXi5E7ahzMAF8oIupDDJ6mievI6F+lAATkbQQlQixJfT3aQ==",
       "funding": [
         {
           "type": "GitHub Sponsors",
@@ -14622,9 +14972,9 @@
       }
     },
     "node_modules/micromark-factory-whitespace/node_modules/micromark-util-character": {
-      "version": "2.0.1",
-      "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-2.0.1.tgz",
-      "integrity": "sha512-3wgnrmEAJ4T+mGXAUfMvMAbxU9RDG43XmGce4j6CwPtVxB3vfwXSZ6KhFwDzZ3mZHhmPimMAXg71veiBGzeAZw==",
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-2.1.0.tgz",
+      "integrity": "sha512-KvOVV+X1yLBfs9dCBSopq/+G1PcgT3lAK07mC4BzXi5E7ahzMAF8oIupDDJ6mievI6F+lAATkbQQlQixJfT3aQ==",
       "funding": [
         {
           "type": "GitHub Sponsors",
@@ -14743,9 +15093,9 @@
       }
     },
     "node_modules/micromark-util-classify-character/node_modules/micromark-util-character": {
-      "version": "2.0.1",
-      "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-2.0.1.tgz",
-      "integrity": "sha512-3wgnrmEAJ4T+mGXAUfMvMAbxU9RDG43XmGce4j6CwPtVxB3vfwXSZ6KhFwDzZ3mZHhmPimMAXg71veiBGzeAZw==",
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-2.1.0.tgz",
+      "integrity": "sha512-KvOVV+X1yLBfs9dCBSopq/+G1PcgT3lAK07mC4BzXi5E7ahzMAF8oIupDDJ6mievI6F+lAATkbQQlQixJfT3aQ==",
       "funding": [
         {
           "type": "GitHub Sponsors",
@@ -14850,9 +15200,9 @@
       }
     },
     "node_modules/micromark-util-decode-string/node_modules/micromark-util-character": {
-      "version": "2.0.1",
-      "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-2.0.1.tgz",
-      "integrity": "sha512-3wgnrmEAJ4T+mGXAUfMvMAbxU9RDG43XmGce4j6CwPtVxB3vfwXSZ6KhFwDzZ3mZHhmPimMAXg71veiBGzeAZw==",
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-2.1.0.tgz",
+      "integrity": "sha512-KvOVV+X1yLBfs9dCBSopq/+G1PcgT3lAK07mC4BzXi5E7ahzMAF8oIupDDJ6mievI6F+lAATkbQQlQixJfT3aQ==",
       "funding": [
         {
           "type": "GitHub Sponsors",
@@ -15025,9 +15375,9 @@
       }
     },
     "node_modules/micromark-util-sanitize-uri/node_modules/micromark-util-character": {
-      "version": "2.0.1",
-      "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-2.0.1.tgz",
-      "integrity": "sha512-3wgnrmEAJ4T+mGXAUfMvMAbxU9RDG43XmGce4j6CwPtVxB3vfwXSZ6KhFwDzZ3mZHhmPimMAXg71veiBGzeAZw==",
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-2.1.0.tgz",
+      "integrity": "sha512-KvOVV+X1yLBfs9dCBSopq/+G1PcgT3lAK07mC4BzXi5E7ahzMAF8oIupDDJ6mievI6F+lAATkbQQlQixJfT3aQ==",
       "funding": [
         {
           "type": "GitHub Sponsors",
@@ -15059,9 +15409,9 @@
       ]
     },
     "node_modules/micromark-util-subtokenize": {
-      "version": "2.0.0",
-      "resolved": "https://registry.npmjs.org/micromark-util-subtokenize/-/micromark-util-subtokenize-2.0.0.tgz",
-      "integrity": "sha512-vc93L1t+gpR3p8jxeVdaYlbV2jTYteDje19rNSS/H5dlhxUYll5Fy6vJ2cDwP8RnsXi818yGty1ayP55y3W6fg==",
+      "version": "2.0.1",
+      "resolved": "https://registry.npmjs.org/micromark-util-subtokenize/-/micromark-util-subtokenize-2.0.1.tgz",
+      "integrity": "sha512-jZNtiFl/1aY73yS3UGQkutD0UbhTt68qnRpw2Pifmz5wV9h8gOVsN70v+Lq/f1rKaU/W8pxRe8y8Q9FX1AOe1Q==",
       "funding": [
         {
           "type": "GitHub Sponsors",
@@ -15144,9 +15494,9 @@
       }
     },
     "node_modules/micromark/node_modules/micromark-util-character": {
-      "version": "2.0.1",
-      "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-2.0.1.tgz",
-      "integrity": "sha512-3wgnrmEAJ4T+mGXAUfMvMAbxU9RDG43XmGce4j6CwPtVxB3vfwXSZ6KhFwDzZ3mZHhmPimMAXg71veiBGzeAZw==",
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-2.1.0.tgz",
+      "integrity": "sha512-KvOVV+X1yLBfs9dCBSopq/+G1PcgT3lAK07mC4BzXi5E7ahzMAF8oIupDDJ6mievI6F+lAATkbQQlQixJfT3aQ==",
       "funding": [
         {
           "type": "GitHub Sponsors",
@@ -15178,11 +15528,11 @@
       ]
     },
     "node_modules/micromatch": {
-      "version": "4.0.5",
-      "resolved": "https://registry.npmjs.org/micromatch/-/micromatch-4.0.5.tgz",
-      "integrity": "sha512-DMy+ERcEW2q8Z2Po+WNXuw3c5YaUSFjAO5GsJqfEl7UjvtIuFKO6ZrKvcItdy98dwFI2N1tg3zNIdKaQT+aNdA==",
+      "version": "4.0.7",
+      "resolved": "https://registry.npmjs.org/micromatch/-/micromatch-4.0.7.tgz",
+      "integrity": "sha512-LPP/3KorzCwBxfeUuZmaR6bG2kdeHSbe0P2tY3FLRU4vYrjYz5hI4QZwV0njUx3jeuKe67YukQ1LSPZBKDqO/Q==",
       "dependencies": {
-        "braces": "^3.0.2",
+        "braces": "^3.0.3",
         "picomatch": "^2.3.1"
       },
       "engines": {
@@ -15267,11 +15617,12 @@
       }
     },
     "node_modules/mini-css-extract-plugin": {
-      "version": "2.7.6",
-      "resolved": "https://registry.npmjs.org/mini-css-extract-plugin/-/mini-css-extract-plugin-2.7.6.tgz",
-      "integrity": "sha512-Qk7HcgaPkGG6eD77mLvZS1nmxlao3j+9PkrT9Uc7HAE1id3F41+DdBRYRYkbyfNRGzm8/YWtzhw7nVPmwhqTQw==",
+      "version": "2.9.0",
+      "resolved": "https://registry.npmjs.org/mini-css-extract-plugin/-/mini-css-extract-plugin-2.9.0.tgz",
+      "integrity": "sha512-Zs1YsZVfemekSZG+44vBsYTLQORkPMwnlv+aehcxK/NLKC+EGhDB39/YePYYqx/sTk6NnYpuqikhSn7+JIevTA==",
       "dependencies": {
-        "schema-utils": "^4.0.0"
+        "schema-utils": "^4.0.0",
+        "tapable": "^2.2.1"
       },
       "engines": {
         "node": ">= 12.13.0"
@@ -15500,9 +15851,9 @@
       }
     },
     "node_modules/nan": {
-      "version": "2.18.0",
-      "resolved": "https://registry.npmjs.org/nan/-/nan-2.18.0.tgz",
-      "integrity": "sha512-W7tfG7vMOGtD30sHoZSSc/JVYiyDPEyQVso/Zz+/uQd0B0L46gtC+pHha5FFMRpil6fm/AoEcRWyOVi4+E/f8w==",
+      "version": "2.20.0",
+      "resolved": "https://registry.npmjs.org/nan/-/nan-2.20.0.tgz",
+      "integrity": "sha512-bk3gXBZDGILuuo/6sKtr0DQmSThYHLtNCdSdXk9YkxD/jK6X2vmCyyXBBxyqZ4XcnzTyYEAThfX3DCEnLf6igw==",
       "dev": true
     },
     "node_modules/nanoid": {
@@ -15550,9 +15901,9 @@
       }
     },
     "node_modules/node-abi": {
-      "version": "3.52.0",
-      "resolved": "https://registry.npmjs.org/node-abi/-/node-abi-3.52.0.tgz",
-      "integrity": "sha512-JJ98b02z16ILv7859irtXn4oUaFWADtvkzy2c0IAatNVX2Mc9Yoh8z6hZInn3QwvMEYhHuQloYi+TTQy67SIdQ==",
+      "version": "3.65.0",
+      "resolved": "https://registry.npmjs.org/node-abi/-/node-abi-3.65.0.tgz",
+      "integrity": "sha512-ThjYBfoDNr08AWx6hGaRbfPwxKV9kVzAzOzlLKbk2CuqXE2xnCh+cbAGnwM3t8Lq4v9rUB7VfondlkBckcJrVA==",
       "dependencies": {
         "semver": "^7.3.5"
       },
@@ -15560,24 +15911,10 @@
         "node": ">=10"
       }
     },
-    "node_modules/node-abi/node_modules/lru-cache": {
-      "version": "6.0.0",
-      "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-6.0.0.tgz",
-      "integrity": "sha512-Jo6dJ04CmSjuznwJSS3pUeWmd/H0ffTlkXXgwZi+eq1UCmqQwCh+eLsYOYCwY991i2Fah4h1BEMCx4qThGbsiA==",
-      "dependencies": {
-        "yallist": "^4.0.0"
-      },
-      "engines": {
-        "node": ">=10"
-      }
-    },
     "node_modules/node-abi/node_modules/semver": {
-      "version": "7.5.4",
-      "resolved": "https://registry.npmjs.org/semver/-/semver-7.5.4.tgz",
-      "integrity": "sha512-1bCSESV6Pv+i21Hvpxp3Dx+pSD8lIPt8uVjRrxAUt/nbswYc+tK6Y2btiULjd4+fnq15PX+nqQDC7Oft7WkwcA==",
-      "dependencies": {
-        "lru-cache": "^6.0.0"
-      },
+      "version": "7.6.2",
+      "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.2.tgz",
+      "integrity": "sha512-FNAIBWCx9qcRhoHcgcJ0gvU7SN1lYU2ZXuSfl04bSC5OpvDHFyJCjdNHomPXxjQlCBU67YW64PzY7/VIEH7F2w==",
       "bin": {
         "semver": "bin/semver.js"
       },
@@ -15585,11 +15922,6 @@
         "node": ">=10"
       }
     },
-    "node_modules/node-abi/node_modules/yallist": {
-      "version": "4.0.0",
-      "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz",
-      "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A=="
-    },
     "node_modules/node-addon-api": {
       "version": "6.1.0",
       "resolved": "https://registry.npmjs.org/node-addon-api/-/node-addon-api-6.1.0.tgz",
@@ -15809,13 +16141,10 @@
       }
     },
     "node_modules/node-gyp/node_modules/semver": {
-      "version": "7.5.4",
-      "resolved": "https://registry.npmjs.org/semver/-/semver-7.5.4.tgz",
-      "integrity": "sha512-1bCSESV6Pv+i21Hvpxp3Dx+pSD8lIPt8uVjRrxAUt/nbswYc+tK6Y2btiULjd4+fnq15PX+nqQDC7Oft7WkwcA==",
+      "version": "7.6.2",
+      "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.2.tgz",
+      "integrity": "sha512-FNAIBWCx9qcRhoHcgcJ0gvU7SN1lYU2ZXuSfl04bSC5OpvDHFyJCjdNHomPXxjQlCBU67YW64PzY7/VIEH7F2w==",
       "dev": true,
-      "dependencies": {
-        "lru-cache": "^6.0.0"
-      },
       "bin": {
         "semver": "bin/semver.js"
       },
@@ -16045,26 +16374,11 @@
         "node": ">=10"
       }
     },
-    "node_modules/normalize-package-data/node_modules/lru-cache": {
-      "version": "6.0.0",
-      "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-6.0.0.tgz",
-      "integrity": "sha512-Jo6dJ04CmSjuznwJSS3pUeWmd/H0ffTlkXXgwZi+eq1UCmqQwCh+eLsYOYCwY991i2Fah4h1BEMCx4qThGbsiA==",
-      "dev": true,
-      "dependencies": {
-        "yallist": "^4.0.0"
-      },
-      "engines": {
-        "node": ">=10"
-      }
-    },
     "node_modules/normalize-package-data/node_modules/semver": {
-      "version": "7.5.4",
-      "resolved": "https://registry.npmjs.org/semver/-/semver-7.5.4.tgz",
-      "integrity": "sha512-1bCSESV6Pv+i21Hvpxp3Dx+pSD8lIPt8uVjRrxAUt/nbswYc+tK6Y2btiULjd4+fnq15PX+nqQDC7Oft7WkwcA==",
+      "version": "7.6.2",
+      "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.2.tgz",
+      "integrity": "sha512-FNAIBWCx9qcRhoHcgcJ0gvU7SN1lYU2ZXuSfl04bSC5OpvDHFyJCjdNHomPXxjQlCBU67YW64PzY7/VIEH7F2w==",
       "dev": true,
-      "dependencies": {
-        "lru-cache": "^6.0.0"
-      },
       "bin": {
         "semver": "bin/semver.js"
       },
@@ -16072,12 +16386,6 @@
         "node": ">=10"
       }
     },
-    "node_modules/normalize-package-data/node_modules/yallist": {
-      "version": "4.0.0",
-      "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz",
-      "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A==",
-      "dev": true
-    },
     "node_modules/normalize-path": {
       "version": "3.0.0",
       "resolved": "https://registry.npmjs.org/normalize-path/-/normalize-path-3.0.0.tgz",
@@ -16095,11 +16403,11 @@
       }
     },
     "node_modules/normalize-url": {
-      "version": "6.1.0",
-      "resolved": "https://registry.npmjs.org/normalize-url/-/normalize-url-6.1.0.tgz",
-      "integrity": "sha512-DlL+XwOy3NxAQ8xuC0okPgK46iuVNAK01YN7RueYBqqFeGsBjV9XmCAzAdgt+667bCl5kPh9EqKKDwnaPG1I7A==",
+      "version": "8.0.1",
+      "resolved": "https://registry.npmjs.org/normalize-url/-/normalize-url-8.0.1.tgz",
+      "integrity": "sha512-IO9QvjUMWxPQQhs60oOu10CRkWCiZzSUkzbXGGV9pviYl1fXYcvkzQ5jV9z8Y6un8ARoVRl4EtC6v6jNqbaJ/w==",
       "engines": {
-        "node": ">=10"
+        "node": ">=14.16"
       },
       "funding": {
         "url": "https://github.com/sponsors/sindresorhus"
@@ -16120,6 +16428,7 @@
       "version": "6.0.2",
       "resolved": "https://registry.npmjs.org/npmlog/-/npmlog-6.0.2.tgz",
       "integrity": "sha512-/vBvz5Jfr9dT/aFWd0FIRf+T/Q2WBsLENygUaFUqstqsycmZAP/t5BvFJTK0viFmSUxiUKTUplWy5vt+rvKIxg==",
+      "deprecated": "This package is no longer supported.",
       "dev": true,
       "dependencies": {
         "are-we-there-yet": "^3.0.0",
@@ -16172,13 +16481,13 @@
       }
     },
     "node_modules/object-is": {
-      "version": "1.1.5",
-      "resolved": "https://registry.npmjs.org/object-is/-/object-is-1.1.5.tgz",
-      "integrity": "sha512-3cyDsyHgtmi7I7DfSSI2LDp6SK2lwvtbg0p0R1e0RvTqF5ceGx+K2dfSjm1bKDMVCFEDAQvy+o8c6a7VujOddw==",
+      "version": "1.1.6",
+      "resolved": "https://registry.npmjs.org/object-is/-/object-is-1.1.6.tgz",
+      "integrity": "sha512-F8cZ+KfGlSGi09lJT7/Nd6KJZ9ygtvYC0/UYYLI9nmQKLMnydpB9yvbv9K1uSkEu7FU9vYPmVwLg328tX+ot3Q==",
       "dev": true,
       "dependencies": {
-        "call-bind": "^1.0.2",
-        "define-properties": "^1.1.3"
+        "call-bind": "^1.0.7",
+        "define-properties": "^1.2.1"
       },
       "engines": {
         "node": ">= 0.4"
@@ -16383,24 +16692,15 @@
         "url": "https://github.com/sponsors/sindresorhus"
       }
     },
-    "node_modules/package-json/node_modules/lru-cache": {
-      "version": "6.0.0",
-      "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-6.0.0.tgz",
-      "integrity": "sha512-Jo6dJ04CmSjuznwJSS3pUeWmd/H0ffTlkXXgwZi+eq1UCmqQwCh+eLsYOYCwY991i2Fah4h1BEMCx4qThGbsiA==",
-      "dependencies": {
-        "yallist": "^4.0.0"
-      },
-      "engines": {
-        "node": ">=10"
-      }
+    "node_modules/package-json-from-dist": {
+      "version": "1.0.0",
+      "resolved": "https://registry.npmjs.org/package-json-from-dist/-/package-json-from-dist-1.0.0.tgz",
+      "integrity": "sha512-dATvCeZN/8wQsGywez1mzHtTlP22H8OEfPrVMLNr4/eGa+ijtLn/6M5f0dY8UKNrC2O9UCU6SSoG3qRKnt7STw=="
     },
     "node_modules/package-json/node_modules/semver": {
-      "version": "7.5.4",
-      "resolved": "https://registry.npmjs.org/semver/-/semver-7.5.4.tgz",
-      "integrity": "sha512-1bCSESV6Pv+i21Hvpxp3Dx+pSD8lIPt8uVjRrxAUt/nbswYc+tK6Y2btiULjd4+fnq15PX+nqQDC7Oft7WkwcA==",
-      "dependencies": {
-        "lru-cache": "^6.0.0"
-      },
+      "version": "7.6.2",
+      "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.2.tgz",
+      "integrity": "sha512-FNAIBWCx9qcRhoHcgcJ0gvU7SN1lYU2ZXuSfl04bSC5OpvDHFyJCjdNHomPXxjQlCBU67YW64PzY7/VIEH7F2w==",
       "bin": {
         "semver": "bin/semver.js"
       },
@@ -16408,11 +16708,6 @@
         "node": ">=10"
       }
     },
-    "node_modules/package-json/node_modules/yallist": {
-      "version": "4.0.0",
-      "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz",
-      "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A=="
-    },
     "node_modules/pako": {
       "version": "1.0.11",
       "resolved": "https://registry.npmjs.org/pako/-/pako-1.0.11.tgz",
@@ -16440,16 +16735,20 @@
       }
     },
     "node_modules/parse-asn1": {
-      "version": "5.1.6",
-      "resolved": "https://registry.npmjs.org/parse-asn1/-/parse-asn1-5.1.6.tgz",
-      "integrity": "sha512-RnZRo1EPU6JBnra2vGHj0yhp6ebyjBZpmUCLHWiFhxlzvBCCpAuZ7elsBp1PVAbQN0/04VD/19rfzlBSwLstMw==",
+      "version": "5.1.7",
+      "resolved": "https://registry.npmjs.org/parse-asn1/-/parse-asn1-5.1.7.tgz",
+      "integrity": "sha512-CTM5kuWR3sx9IFamcl5ErfPl6ea/N8IYwiJ+vpeB2g+1iknv7zBl5uPwbMbRVznRVbrNY6lGuDoE5b30grmbqg==",
       "dev": true,
       "dependencies": {
-        "asn1.js": "^5.2.0",
-        "browserify-aes": "^1.0.0",
-        "evp_bytestokey": "^1.0.0",
-        "pbkdf2": "^3.0.3",
-        "safe-buffer": "^5.1.1"
+        "asn1.js": "^4.10.1",
+        "browserify-aes": "^1.2.0",
+        "evp_bytestokey": "^1.0.3",
+        "hash-base": "~3.0",
+        "pbkdf2": "^3.1.2",
+        "safe-buffer": "^5.2.1"
+      },
+      "engines": {
+        "node": ">= 0.10"
       }
     },
     "node_modules/parse-entities": {
@@ -16578,32 +16877,32 @@
       "integrity": "sha512-LDJzPVEEEPR+y48z93A0Ed0yXb8pAByGWo/k5YYdYgpY2/2EsOsksJrq7lOHxryrVOn1ejG6oAp8ahvOIQD8sw=="
     },
     "node_modules/path-scurry": {
-      "version": "1.10.1",
-      "resolved": "https://registry.npmjs.org/path-scurry/-/path-scurry-1.10.1.tgz",
-      "integrity": "sha512-MkhCqzzBEpPvxxQ71Md0b1Kk51W01lrYvlMzSUaIzNsODdd7mqhiimSZlr+VegAz5Z6Vzt9Xg2ttE//XBhH3EQ==",
+      "version": "1.11.1",
+      "resolved": "https://registry.npmjs.org/path-scurry/-/path-scurry-1.11.1.tgz",
+      "integrity": "sha512-Xa4Nw17FS9ApQFJ9umLiJS4orGjm7ZzwUrwamcGQuHSzDyth9boKDaycYdDcZDuqYATXw4HFXgaqWTctW/v1HA==",
       "dependencies": {
-        "lru-cache": "^9.1.1 || ^10.0.0",
+        "lru-cache": "^10.2.0",
         "minipass": "^5.0.0 || ^6.0.2 || ^7.0.0"
       },
       "engines": {
-        "node": ">=16 || 14 >=14.17"
+        "node": ">=16 || 14 >=14.18"
       },
       "funding": {
         "url": "https://github.com/sponsors/isaacs"
       }
     },
     "node_modules/path-scurry/node_modules/lru-cache": {
-      "version": "10.1.0",
-      "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-10.1.0.tgz",
-      "integrity": "sha512-/1clY/ui8CzjKFyjdvwPWJUYKiFVXG2I2cY0ssG7h4+hwk+XOIX7ZSG9Q7TW8TW3Kp3BUSqgFWBLgL4PJ+Blag==",
+      "version": "10.2.2",
+      "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-10.2.2.tgz",
+      "integrity": "sha512-9hp3Vp2/hFQUiIwKo8XCeFVnrg8Pk3TYNPIR7tJADKi5YfcF7vEaK7avFHTlSy3kOKYaJQaalfEo6YuXdceBOQ==",
       "engines": {
         "node": "14 || >=16.14"
       }
     },
     "node_modules/path-scurry/node_modules/minipass": {
-      "version": "7.0.4",
-      "resolved": "https://registry.npmjs.org/minipass/-/minipass-7.0.4.tgz",
-      "integrity": "sha512-jYofLM5Dam9279rdkWzqHozUo4ybjdZmCsDHePy5V/PbBcVMiSZR97gmAy45aqi8CK1lG2ECd356FU86avfwUQ==",
+      "version": "7.1.2",
+      "resolved": "https://registry.npmjs.org/minipass/-/minipass-7.1.2.tgz",
+      "integrity": "sha512-qOOzS1cBTWYF4BH8fVePDBOO9iptMnGUEZwNc/cMWnTV2nVLZ7VoNWEPHkYczZA0pdoA7dl6e7FL659nX9S2aw==",
       "engines": {
         "node": ">=16 || 14 >=14.17"
       }
@@ -16656,9 +16955,9 @@
       }
     },
     "node_modules/picocolors": {
-      "version": "1.0.0",
-      "resolved": "https://registry.npmjs.org/picocolors/-/picocolors-1.0.0.tgz",
-      "integrity": "sha512-1fygroTLlHu66zi26VoTDv8yRgm0Fccecssto+MhsZ0D/DGW2sm8E8AjW7NU5VVTRt5GxbeZ5qBuJr+HyLYkjQ=="
+      "version": "1.0.1",
+      "resolved": "https://registry.npmjs.org/picocolors/-/picocolors-1.0.1.tgz",
+      "integrity": "sha512-anP1Z8qwhkbmu7MFP5iTt+wQKXgwzf7zTyGlcdzabySa9vd0Xt392U0rVmz9poOaBj0uHJKyyo9/upk0HrEQew=="
     },
     "node_modules/picomatch": {
       "version": "2.3.1",
@@ -16768,10 +17067,19 @@
         "node": ">=4"
       }
     },
+    "node_modules/possible-typed-array-names": {
+      "version": "1.0.0",
+      "resolved": "https://registry.npmjs.org/possible-typed-array-names/-/possible-typed-array-names-1.0.0.tgz",
+      "integrity": "sha512-d7Uw+eZoloe0EHDIYoe+bQ5WXnGMOpmiZFTuMWCwpjzzkL2nTjcKiAk4hh8TjnGye2TwWOk3UXucZ+3rbmBa8Q==",
+      "dev": true,
+      "engines": {
+        "node": ">= 0.4"
+      }
+    },
     "node_modules/postcss": {
-      "version": "8.4.32",
-      "resolved": "https://registry.npmjs.org/postcss/-/postcss-8.4.32.tgz",
-      "integrity": "sha512-D/kj5JNu6oo2EIy+XL/26JEDTlIbB8hw85G8StOE6L74RQAVVP5rej6wxCNqyMbR4RkPfqvezVbPw81Ngd6Kcw==",
+      "version": "8.4.38",
+      "resolved": "https://registry.npmjs.org/postcss/-/postcss-8.4.38.tgz",
+      "integrity": "sha512-Wglpdk03BSfXkHoQa3b/oulrotAkwrlLDRSOb9D0bN86FdRyE9lppSp33aHNPgBa0JKCoB+drFLZkQoRRYae5A==",
       "funding": [
         {
           "type": "opencollective",
@@ -16789,112 +17097,115 @@
       "dependencies": {
         "nanoid": "^3.3.7",
         "picocolors": "^1.0.0",
-        "source-map-js": "^1.0.2"
+        "source-map-js": "^1.2.0"
       },
       "engines": {
         "node": "^10 || ^12 || >=14"
       }
     },
     "node_modules/postcss-calc": {
-      "version": "8.2.4",
-      "resolved": "https://registry.npmjs.org/postcss-calc/-/postcss-calc-8.2.4.tgz",
-      "integrity": "sha512-SmWMSJmB8MRnnULldx0lQIyhSNvuDl9HfrZkaqqE/WHAhToYsAvDq+yAsA/kIyINDszOp3Rh0GFoNuH5Ypsm3Q==",
+      "version": "9.0.1",
+      "resolved": "https://registry.npmjs.org/postcss-calc/-/postcss-calc-9.0.1.tgz",
+      "integrity": "sha512-TipgjGyzP5QzEhsOZUaIkeO5mKeMFpebWzRogWG/ysonUlnHcq5aJe0jOjpfzUU8PeSaBQnrE8ehR0QA5vs8PQ==",
       "dependencies": {
-        "postcss-selector-parser": "^6.0.9",
+        "postcss-selector-parser": "^6.0.11",
         "postcss-value-parser": "^4.2.0"
       },
+      "engines": {
+        "node": "^14 || ^16 || >=18.0"
+      },
       "peerDependencies": {
         "postcss": "^8.2.2"
       }
     },
     "node_modules/postcss-colormin": {
-      "version": "5.3.1",
-      "resolved": "https://registry.npmjs.org/postcss-colormin/-/postcss-colormin-5.3.1.tgz",
-      "integrity": "sha512-UsWQG0AqTFQmpBegeLLc1+c3jIqBNB0zlDGRWR+dQ3pRKJL1oeMzyqmH3o2PIfn9MBdNrVPWhDbT769LxCTLJQ==",
+      "version": "6.1.0",
+      "resolved": "https://registry.npmjs.org/postcss-colormin/-/postcss-colormin-6.1.0.tgz",
+      "integrity": "sha512-x9yX7DOxeMAR+BgGVnNSAxmAj98NX/YxEMNFP+SDCEeNLb2r3i6Hh1ksMsnW8Ub5SLCpbescQqn9YEbE9554Sw==",
       "dependencies": {
-        "browserslist": "^4.21.4",
+        "browserslist": "^4.23.0",
         "caniuse-api": "^3.0.0",
-        "colord": "^2.9.1",
+        "colord": "^2.9.3",
         "postcss-value-parser": "^4.2.0"
       },
       "engines": {
-        "node": "^10 || ^12 || >=14.0"
+        "node": "^14 || ^16 || >=18.0"
       },
       "peerDependencies": {
-        "postcss": "^8.2.15"
+        "postcss": "^8.4.31"
       }
     },
     "node_modules/postcss-convert-values": {
-      "version": "5.1.3",
-      "resolved": "https://registry.npmjs.org/postcss-convert-values/-/postcss-convert-values-5.1.3.tgz",
-      "integrity": "sha512-82pC1xkJZtcJEfiLw6UXnXVXScgtBrjlO5CBmuDQc+dlb88ZYheFsjTn40+zBVi3DkfF7iezO0nJUPLcJK3pvA==",
+      "version": "6.1.0",
+      "resolved": "https://registry.npmjs.org/postcss-convert-values/-/postcss-convert-values-6.1.0.tgz",
+      "integrity": "sha512-zx8IwP/ts9WvUM6NkVSkiU902QZL1bwPhaVaLynPtCsOTqp+ZKbNi+s6XJg3rfqpKGA/oc7Oxk5t8pOQJcwl/w==",
       "dependencies": {
-        "browserslist": "^4.21.4",
+        "browserslist": "^4.23.0",
         "postcss-value-parser": "^4.2.0"
       },
       "engines": {
-        "node": "^10 || ^12 || >=14.0"
+        "node": "^14 || ^16 || >=18.0"
       },
       "peerDependencies": {
-        "postcss": "^8.2.15"
+        "postcss": "^8.4.31"
       }
     },
     "node_modules/postcss-discard-comments": {
-      "version": "5.1.2",
-      "resolved": "https://registry.npmjs.org/postcss-discard-comments/-/postcss-discard-comments-5.1.2.tgz",
-      "integrity": "sha512-+L8208OVbHVF2UQf1iDmRcbdjJkuBF6IS29yBDSiWUIzpYaAhtNl6JYnYm12FnkeCwQqF5LeklOu6rAqgfBZqQ==",
+      "version": "6.0.2",
+      "resolved": "https://registry.npmjs.org/postcss-discard-comments/-/postcss-discard-comments-6.0.2.tgz",
+      "integrity": "sha512-65w/uIqhSBBfQmYnG92FO1mWZjJ4GL5b8atm5Yw2UgrwD7HiNiSSNwJor1eCFGzUgYnN/iIknhNRVqjrrpuglw==",
       "engines": {
-        "node": "^10 || ^12 || >=14.0"
+        "node": "^14 || ^16 || >=18.0"
       },
       "peerDependencies": {
-        "postcss": "^8.2.15"
+        "postcss": "^8.4.31"
       }
     },
     "node_modules/postcss-discard-duplicates": {
-      "version": "5.1.0",
-      "resolved": "https://registry.npmjs.org/postcss-discard-duplicates/-/postcss-discard-duplicates-5.1.0.tgz",
-      "integrity": "sha512-zmX3IoSI2aoenxHV6C7plngHWWhUOV3sP1T8y2ifzxzbtnuhk1EdPwm0S1bIUNaJ2eNbWeGLEwzw8huPD67aQw==",
+      "version": "6.0.3",
+      "resolved": "https://registry.npmjs.org/postcss-discard-duplicates/-/postcss-discard-duplicates-6.0.3.tgz",
+      "integrity": "sha512-+JA0DCvc5XvFAxwx6f/e68gQu/7Z9ud584VLmcgto28eB8FqSFZwtrLwB5Kcp70eIoWP/HXqz4wpo8rD8gpsTw==",
       "engines": {
-        "node": "^10 || ^12 || >=14.0"
+        "node": "^14 || ^16 || >=18.0"
       },
       "peerDependencies": {
-        "postcss": "^8.2.15"
+        "postcss": "^8.4.31"
       }
     },
     "node_modules/postcss-discard-empty": {
-      "version": "5.1.1",
-      "resolved": "https://registry.npmjs.org/postcss-discard-empty/-/postcss-discard-empty-5.1.1.tgz",
-      "integrity": "sha512-zPz4WljiSuLWsI0ir4Mcnr4qQQ5e1Ukc3i7UfE2XcrwKK2LIPIqE5jxMRxO6GbI3cv//ztXDsXwEWT3BHOGh3A==",
+      "version": "6.0.3",
+      "resolved": "https://registry.npmjs.org/postcss-discard-empty/-/postcss-discard-empty-6.0.3.tgz",
+      "integrity": "sha512-znyno9cHKQsK6PtxL5D19Fj9uwSzC2mB74cpT66fhgOadEUPyXFkbgwm5tvc3bt3NAy8ltE5MrghxovZRVnOjQ==",
       "engines": {
-        "node": "^10 || ^12 || >=14.0"
+        "node": "^14 || ^16 || >=18.0"
       },
       "peerDependencies": {
-        "postcss": "^8.2.15"
+        "postcss": "^8.4.31"
       }
     },
     "node_modules/postcss-discard-overridden": {
-      "version": "5.1.0",
-      "resolved": "https://registry.npmjs.org/postcss-discard-overridden/-/postcss-discard-overridden-5.1.0.tgz",
-      "integrity": "sha512-21nOL7RqWR1kasIVdKs8HNqQJhFxLsyRfAnUDm4Fe4t4mCWL9OJiHvlHPjcd8zc5Myu89b/7wZDnOSjFgeWRtw==",
+      "version": "6.0.2",
+      "resolved": "https://registry.npmjs.org/postcss-discard-overridden/-/postcss-discard-overridden-6.0.2.tgz",
+      "integrity": "sha512-j87xzI4LUggC5zND7KdjsI25APtyMuynXZSujByMaav2roV6OZX+8AaCUcZSWqckZpjAjRyFDdpqybgjFO0HJQ==",
       "engines": {
-        "node": "^10 || ^12 || >=14.0"
+        "node": "^14 || ^16 || >=18.0"
       },
       "peerDependencies": {
-        "postcss": "^8.2.15"
+        "postcss": "^8.4.31"
       }
     },
     "node_modules/postcss-discard-unused": {
-      "version": "5.1.0",
-      "resolved": "https://registry.npmjs.org/postcss-discard-unused/-/postcss-discard-unused-5.1.0.tgz",
-      "integrity": "sha512-KwLWymI9hbwXmJa0dkrzpRbSJEh0vVUd7r8t0yOGPcfKzyJJxFM8kLyC5Ev9avji6nY95pOp1W6HqIrfT+0VGw==",
+      "version": "6.0.5",
+      "resolved": "https://registry.npmjs.org/postcss-discard-unused/-/postcss-discard-unused-6.0.5.tgz",
+      "integrity": "sha512-wHalBlRHkaNnNwfC8z+ppX57VhvS+HWgjW508esjdaEYr3Mx7Gnn2xA4R/CKf5+Z9S5qsqC+Uzh4ueENWwCVUA==",
       "dependencies": {
-        "postcss-selector-parser": "^6.0.5"
+        "postcss-selector-parser": "^6.0.16"
       },
       "engines": {
-        "node": "^10 || ^12 || >=14.0"
+        "node": "^14 || ^16 || >=18.0"
       },
       "peerDependencies": {
-        "postcss": "^8.2.15"
+        "postcss": "^8.4.31"
       }
     },
     "node_modules/postcss-import": {
@@ -16965,22 +17276,6 @@
         }
       }
     },
-    "node_modules/postcss-load-config/node_modules/lilconfig": {
-      "version": "3.0.0",
-      "resolved": "https://registry.npmjs.org/lilconfig/-/lilconfig-3.0.0.tgz",
-      "integrity": "sha512-K2U4W2Ff5ibV7j7ydLr+zLAkIg5JJ4lPn1Ltsdt+Tz/IjQ8buJ55pZAxoP34lqIiwtF9iAvtLv3JGv7CAyAg+g==",
-      "engines": {
-        "node": ">=14"
-      }
-    },
-    "node_modules/postcss-load-config/node_modules/yaml": {
-      "version": "2.3.4",
-      "resolved": "https://registry.npmjs.org/yaml/-/yaml-2.3.4.tgz",
-      "integrity": "sha512-8aAvwVUSHpfEqTQ4w/KMlf3HcRdt50E5ODIQJBw1fQ5RL34xabzxtUlzTXVqc4rkZsPbvrXKWnABCD7kWSmocA==",
-      "engines": {
-        "node": ">= 14"
-      }
-    },
     "node_modules/postcss-loader": {
       "version": "7.3.4",
       "resolved": "https://registry.npmjs.org/postcss-loader/-/postcss-loader-7.3.4.tgz",
@@ -17002,49 +17297,10 @@
         "webpack": "^5.0.0"
       }
     },
-    "node_modules/postcss-loader/node_modules/cosmiconfig": {
-      "version": "8.3.6",
-      "resolved": "https://registry.npmjs.org/cosmiconfig/-/cosmiconfig-8.3.6.tgz",
-      "integrity": "sha512-kcZ6+W5QzcJ3P1Mt+83OUv/oHFqZHIx8DuxG6eZ5RGMERoLqp4BuGjhHLYGK+Kf5XVkQvqBSmAy/nGWN3qDgEA==",
-      "dependencies": {
-        "import-fresh": "^3.3.0",
-        "js-yaml": "^4.1.0",
-        "parse-json": "^5.2.0",
-        "path-type": "^4.0.0"
-      },
-      "engines": {
-        "node": ">=14"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/d-fischer"
-      },
-      "peerDependencies": {
-        "typescript": ">=4.9.5"
-      },
-      "peerDependenciesMeta": {
-        "typescript": {
-          "optional": true
-        }
-      }
-    },
-    "node_modules/postcss-loader/node_modules/lru-cache": {
-      "version": "6.0.0",
-      "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-6.0.0.tgz",
-      "integrity": "sha512-Jo6dJ04CmSjuznwJSS3pUeWmd/H0ffTlkXXgwZi+eq1UCmqQwCh+eLsYOYCwY991i2Fah4h1BEMCx4qThGbsiA==",
-      "dependencies": {
-        "yallist": "^4.0.0"
-      },
-      "engines": {
-        "node": ">=10"
-      }
-    },
     "node_modules/postcss-loader/node_modules/semver": {
-      "version": "7.5.4",
-      "resolved": "https://registry.npmjs.org/semver/-/semver-7.5.4.tgz",
-      "integrity": "sha512-1bCSESV6Pv+i21Hvpxp3Dx+pSD8lIPt8uVjRrxAUt/nbswYc+tK6Y2btiULjd4+fnq15PX+nqQDC7Oft7WkwcA==",
-      "dependencies": {
-        "lru-cache": "^6.0.0"
-      },
+      "version": "7.6.2",
+      "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.2.tgz",
+      "integrity": "sha512-FNAIBWCx9qcRhoHcgcJ0gvU7SN1lYU2ZXuSfl04bSC5OpvDHFyJCjdNHomPXxjQlCBU67YW64PzY7/VIEH7F2w==",
       "bin": {
         "semver": "bin/semver.js"
       },
@@ -17052,122 +17308,117 @@
         "node": ">=10"
       }
     },
-    "node_modules/postcss-loader/node_modules/yallist": {
-      "version": "4.0.0",
-      "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz",
-      "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A=="
-    },
     "node_modules/postcss-merge-idents": {
-      "version": "5.1.1",
-      "resolved": "https://registry.npmjs.org/postcss-merge-idents/-/postcss-merge-idents-5.1.1.tgz",
-      "integrity": "sha512-pCijL1TREiCoog5nQp7wUe+TUonA2tC2sQ54UGeMmryK3UFGIYKqDyjnqd6RcuI4znFn9hWSLNN8xKE/vWcUQw==",
+      "version": "6.0.3",
+      "resolved": "https://registry.npmjs.org/postcss-merge-idents/-/postcss-merge-idents-6.0.3.tgz",
+      "integrity": "sha512-1oIoAsODUs6IHQZkLQGO15uGEbK3EAl5wi9SS8hs45VgsxQfMnxvt+L+zIr7ifZFIH14cfAeVe2uCTa+SPRa3g==",
       "dependencies": {
-        "cssnano-utils": "^3.1.0",
+        "cssnano-utils": "^4.0.2",
         "postcss-value-parser": "^4.2.0"
       },
       "engines": {
-        "node": "^10 || ^12 || >=14.0"
+        "node": "^14 || ^16 || >=18.0"
       },
       "peerDependencies": {
-        "postcss": "^8.2.15"
+        "postcss": "^8.4.31"
       }
     },
     "node_modules/postcss-merge-longhand": {
-      "version": "5.1.7",
-      "resolved": "https://registry.npmjs.org/postcss-merge-longhand/-/postcss-merge-longhand-5.1.7.tgz",
-      "integrity": "sha512-YCI9gZB+PLNskrK0BB3/2OzPnGhPkBEwmwhfYk1ilBHYVAZB7/tkTHFBAnCrvBBOmeYyMYw3DMjT55SyxMBzjQ==",
+      "version": "6.0.5",
+      "resolved": "https://registry.npmjs.org/postcss-merge-longhand/-/postcss-merge-longhand-6.0.5.tgz",
+      "integrity": "sha512-5LOiordeTfi64QhICp07nzzuTDjNSO8g5Ksdibt44d+uvIIAE1oZdRn8y/W5ZtYgRH/lnLDlvi9F8btZcVzu3w==",
       "dependencies": {
         "postcss-value-parser": "^4.2.0",
-        "stylehacks": "^5.1.1"
+        "stylehacks": "^6.1.1"
       },
       "engines": {
-        "node": "^10 || ^12 || >=14.0"
+        "node": "^14 || ^16 || >=18.0"
       },
       "peerDependencies": {
-        "postcss": "^8.2.15"
+        "postcss": "^8.4.31"
       }
     },
     "node_modules/postcss-merge-rules": {
-      "version": "5.1.4",
-      "resolved": "https://registry.npmjs.org/postcss-merge-rules/-/postcss-merge-rules-5.1.4.tgz",
-      "integrity": "sha512-0R2IuYpgU93y9lhVbO/OylTtKMVcHb67zjWIfCiKR9rWL3GUk1677LAqD/BcHizukdZEjT8Ru3oHRoAYoJy44g==",
+      "version": "6.1.1",
+      "resolved": "https://registry.npmjs.org/postcss-merge-rules/-/postcss-merge-rules-6.1.1.tgz",
+      "integrity": "sha512-KOdWF0gju31AQPZiD+2Ar9Qjowz1LTChSjFFbS+e2sFgc4uHOp3ZvVX4sNeTlk0w2O31ecFGgrFzhO0RSWbWwQ==",
       "dependencies": {
-        "browserslist": "^4.21.4",
+        "browserslist": "^4.23.0",
         "caniuse-api": "^3.0.0",
-        "cssnano-utils": "^3.1.0",
-        "postcss-selector-parser": "^6.0.5"
+        "cssnano-utils": "^4.0.2",
+        "postcss-selector-parser": "^6.0.16"
       },
       "engines": {
-        "node": "^10 || ^12 || >=14.0"
+        "node": "^14 || ^16 || >=18.0"
       },
       "peerDependencies": {
-        "postcss": "^8.2.15"
+        "postcss": "^8.4.31"
       }
     },
     "node_modules/postcss-minify-font-values": {
-      "version": "5.1.0",
-      "resolved": "https://registry.npmjs.org/postcss-minify-font-values/-/postcss-minify-font-values-5.1.0.tgz",
-      "integrity": "sha512-el3mYTgx13ZAPPirSVsHqFzl+BBBDrXvbySvPGFnQcTI4iNslrPaFq4muTkLZmKlGk4gyFAYUBMH30+HurREyA==",
+      "version": "6.1.0",
+      "resolved": "https://registry.npmjs.org/postcss-minify-font-values/-/postcss-minify-font-values-6.1.0.tgz",
+      "integrity": "sha512-gklfI/n+9rTh8nYaSJXlCo3nOKqMNkxuGpTn/Qm0gstL3ywTr9/WRKznE+oy6fvfolH6dF+QM4nCo8yPLdvGJg==",
       "dependencies": {
         "postcss-value-parser": "^4.2.0"
       },
       "engines": {
-        "node": "^10 || ^12 || >=14.0"
+        "node": "^14 || ^16 || >=18.0"
       },
       "peerDependencies": {
-        "postcss": "^8.2.15"
+        "postcss": "^8.4.31"
       }
     },
     "node_modules/postcss-minify-gradients": {
-      "version": "5.1.1",
-      "resolved": "https://registry.npmjs.org/postcss-minify-gradients/-/postcss-minify-gradients-5.1.1.tgz",
-      "integrity": "sha512-VGvXMTpCEo4qHTNSa9A0a3D+dxGFZCYwR6Jokk+/3oB6flu2/PnPXAh2x7x52EkY5xlIHLm+Le8tJxe/7TNhzw==",
+      "version": "6.0.3",
+      "resolved": "https://registry.npmjs.org/postcss-minify-gradients/-/postcss-minify-gradients-6.0.3.tgz",
+      "integrity": "sha512-4KXAHrYlzF0Rr7uc4VrfwDJ2ajrtNEpNEuLxFgwkhFZ56/7gaE4Nr49nLsQDZyUe+ds+kEhf+YAUolJiYXF8+Q==",
       "dependencies": {
-        "colord": "^2.9.1",
-        "cssnano-utils": "^3.1.0",
+        "colord": "^2.9.3",
+        "cssnano-utils": "^4.0.2",
         "postcss-value-parser": "^4.2.0"
       },
       "engines": {
-        "node": "^10 || ^12 || >=14.0"
+        "node": "^14 || ^16 || >=18.0"
       },
       "peerDependencies": {
-        "postcss": "^8.2.15"
+        "postcss": "^8.4.31"
       }
     },
     "node_modules/postcss-minify-params": {
-      "version": "5.1.4",
-      "resolved": "https://registry.npmjs.org/postcss-minify-params/-/postcss-minify-params-5.1.4.tgz",
-      "integrity": "sha512-+mePA3MgdmVmv6g+30rn57USjOGSAyuxUmkfiWpzalZ8aiBkdPYjXWtHuwJGm1v5Ojy0Z0LaSYhHaLJQB0P8Jw==",
+      "version": "6.1.0",
+      "resolved": "https://registry.npmjs.org/postcss-minify-params/-/postcss-minify-params-6.1.0.tgz",
+      "integrity": "sha512-bmSKnDtyyE8ujHQK0RQJDIKhQ20Jq1LYiez54WiaOoBtcSuflfK3Nm596LvbtlFcpipMjgClQGyGr7GAs+H1uA==",
       "dependencies": {
-        "browserslist": "^4.21.4",
-        "cssnano-utils": "^3.1.0",
+        "browserslist": "^4.23.0",
+        "cssnano-utils": "^4.0.2",
         "postcss-value-parser": "^4.2.0"
       },
       "engines": {
-        "node": "^10 || ^12 || >=14.0"
+        "node": "^14 || ^16 || >=18.0"
       },
       "peerDependencies": {
-        "postcss": "^8.2.15"
+        "postcss": "^8.4.31"
       }
     },
     "node_modules/postcss-minify-selectors": {
-      "version": "5.2.1",
-      "resolved": "https://registry.npmjs.org/postcss-minify-selectors/-/postcss-minify-selectors-5.2.1.tgz",
-      "integrity": "sha512-nPJu7OjZJTsVUmPdm2TcaiohIwxP+v8ha9NehQ2ye9szv4orirRU3SDdtUmKH+10nzn0bAyOXZ0UEr7OpvLehg==",
+      "version": "6.0.4",
+      "resolved": "https://registry.npmjs.org/postcss-minify-selectors/-/postcss-minify-selectors-6.0.4.tgz",
+      "integrity": "sha512-L8dZSwNLgK7pjTto9PzWRoMbnLq5vsZSTu8+j1P/2GB8qdtGQfn+K1uSvFgYvgh83cbyxT5m43ZZhUMTJDSClQ==",
       "dependencies": {
-        "postcss-selector-parser": "^6.0.5"
+        "postcss-selector-parser": "^6.0.16"
       },
       "engines": {
-        "node": "^10 || ^12 || >=14.0"
+        "node": "^14 || ^16 || >=18.0"
       },
       "peerDependencies": {
-        "postcss": "^8.2.15"
+        "postcss": "^8.4.31"
       }
     },
     "node_modules/postcss-modules-extract-imports": {
-      "version": "3.0.0",
-      "resolved": "https://registry.npmjs.org/postcss-modules-extract-imports/-/postcss-modules-extract-imports-3.0.0.tgz",
-      "integrity": "sha512-bdHleFnP3kZ4NYDhuGlVK+CMrQ/pqUm8bx/oGL93K6gVwiclvX5x0n76fYMKuIGKzlABOy13zsvqjb0f92TEXw==",
+      "version": "3.1.0",
+      "resolved": "https://registry.npmjs.org/postcss-modules-extract-imports/-/postcss-modules-extract-imports-3.1.0.tgz",
+      "integrity": "sha512-k3kNe0aNFQDAZGbin48pL2VNidTF0w4/eASDsxlyspobzU3wZQLOGj7L9gfRe0Jo9/4uud09DsjFNH7winGv8Q==",
       "engines": {
         "node": "^10 || ^12 || >= 14"
       },
@@ -17176,9 +17427,9 @@
       }
     },
     "node_modules/postcss-modules-local-by-default": {
-      "version": "4.0.3",
-      "resolved": "https://registry.npmjs.org/postcss-modules-local-by-default/-/postcss-modules-local-by-default-4.0.3.tgz",
-      "integrity": "sha512-2/u2zraspoACtrbFRnTijMiQtb4GW4BvatjaG/bCjYQo8kLTdevCUlwuBHx2sCnSyrI3x3qj4ZK1j5LQBgzmwA==",
+      "version": "4.0.5",
+      "resolved": "https://registry.npmjs.org/postcss-modules-local-by-default/-/postcss-modules-local-by-default-4.0.5.tgz",
+      "integrity": "sha512-6MieY7sIfTK0hYfafw1OMEG+2bg8Q1ocHCpoWLqOKj3JXlKu4G7btkmM/B7lFubYkYWmRSPLZi5chid63ZaZYw==",
       "dependencies": {
         "icss-utils": "^5.0.0",
         "postcss-selector-parser": "^6.0.2",
@@ -17192,9 +17443,9 @@
       }
     },
     "node_modules/postcss-modules-scope": {
-      "version": "3.1.0",
-      "resolved": "https://registry.npmjs.org/postcss-modules-scope/-/postcss-modules-scope-3.1.0.tgz",
-      "integrity": "sha512-SaIbK8XW+MZbd0xHPf7kdfA/3eOt7vxJ72IRecn3EzuZVLr1r0orzf0MX/pN8m+NMDoo6X/SQd8oeKqGZd8PXg==",
+      "version": "3.2.0",
+      "resolved": "https://registry.npmjs.org/postcss-modules-scope/-/postcss-modules-scope-3.2.0.tgz",
+      "integrity": "sha512-oq+g1ssrsZOsx9M96c5w8laRmvEu9C3adDSjI8oTcbfkrTE8hx/zfyobUoWIxaKPO8bt6S62kxpw5GqypEw1QQ==",
       "dependencies": {
         "postcss-selector-parser": "^6.0.4"
       },
@@ -17238,192 +17489,191 @@
       }
     },
     "node_modules/postcss-normalize-charset": {
-      "version": "5.1.0",
-      "resolved": "https://registry.npmjs.org/postcss-normalize-charset/-/postcss-normalize-charset-5.1.0.tgz",
-      "integrity": "sha512-mSgUJ+pd/ldRGVx26p2wz9dNZ7ji6Pn8VWBajMXFf8jk7vUoSrZ2lt/wZR7DtlZYKesmZI680qjr2CeFF2fbUg==",
+      "version": "6.0.2",
+      "resolved": "https://registry.npmjs.org/postcss-normalize-charset/-/postcss-normalize-charset-6.0.2.tgz",
+      "integrity": "sha512-a8N9czmdnrjPHa3DeFlwqst5eaL5W8jYu3EBbTTkI5FHkfMhFZh1EGbku6jhHhIzTA6tquI2P42NtZ59M/H/kQ==",
       "engines": {
-        "node": "^10 || ^12 || >=14.0"
+        "node": "^14 || ^16 || >=18.0"
       },
       "peerDependencies": {
-        "postcss": "^8.2.15"
+        "postcss": "^8.4.31"
       }
     },
     "node_modules/postcss-normalize-display-values": {
-      "version": "5.1.0",
-      "resolved": "https://registry.npmjs.org/postcss-normalize-display-values/-/postcss-normalize-display-values-5.1.0.tgz",
-      "integrity": "sha512-WP4KIM4o2dazQXWmFaqMmcvsKmhdINFblgSeRgn8BJ6vxaMyaJkwAzpPpuvSIoG/rmX3M+IrRZEz2H0glrQNEA==",
+      "version": "6.0.2",
+      "resolved": "https://registry.npmjs.org/postcss-normalize-display-values/-/postcss-normalize-display-values-6.0.2.tgz",
+      "integrity": "sha512-8H04Mxsb82ON/aAkPeq8kcBbAtI5Q2a64X/mnRRfPXBq7XeogoQvReqxEfc0B4WPq1KimjezNC8flUtC3Qz6jg==",
       "dependencies": {
         "postcss-value-parser": "^4.2.0"
       },
       "engines": {
-        "node": "^10 || ^12 || >=14.0"
+        "node": "^14 || ^16 || >=18.0"
       },
       "peerDependencies": {
-        "postcss": "^8.2.15"
+        "postcss": "^8.4.31"
       }
     },
     "node_modules/postcss-normalize-positions": {
-      "version": "5.1.1",
-      "resolved": "https://registry.npmjs.org/postcss-normalize-positions/-/postcss-normalize-positions-5.1.1.tgz",
-      "integrity": "sha512-6UpCb0G4eofTCQLFVuI3EVNZzBNPiIKcA1AKVka+31fTVySphr3VUgAIULBhxZkKgwLImhzMR2Bw1ORK+37INg==",
+      "version": "6.0.2",
+      "resolved": "https://registry.npmjs.org/postcss-normalize-positions/-/postcss-normalize-positions-6.0.2.tgz",
+      "integrity": "sha512-/JFzI441OAB9O7VnLA+RtSNZvQ0NCFZDOtp6QPFo1iIyawyXg0YI3CYM9HBy1WvwCRHnPep/BvI1+dGPKoXx/Q==",
       "dependencies": {
         "postcss-value-parser": "^4.2.0"
       },
       "engines": {
-        "node": "^10 || ^12 || >=14.0"
+        "node": "^14 || ^16 || >=18.0"
       },
       "peerDependencies": {
-        "postcss": "^8.2.15"
+        "postcss": "^8.4.31"
       }
     },
     "node_modules/postcss-normalize-repeat-style": {
-      "version": "5.1.1",
-      "resolved": "https://registry.npmjs.org/postcss-normalize-repeat-style/-/postcss-normalize-repeat-style-5.1.1.tgz",
-      "integrity": "sha512-mFpLspGWkQtBcWIRFLmewo8aC3ImN2i/J3v8YCFUwDnPu3Xz4rLohDO26lGjwNsQxB3YF0KKRwspGzE2JEuS0g==",
+      "version": "6.0.2",
+      "resolved": "https://registry.npmjs.org/postcss-normalize-repeat-style/-/postcss-normalize-repeat-style-6.0.2.tgz",
+      "integrity": "sha512-YdCgsfHkJ2jEXwR4RR3Tm/iOxSfdRt7jplS6XRh9Js9PyCR/aka/FCb6TuHT2U8gQubbm/mPmF6L7FY9d79VwQ==",
       "dependencies": {
         "postcss-value-parser": "^4.2.0"
       },
       "engines": {
-        "node": "^10 || ^12 || >=14.0"
+        "node": "^14 || ^16 || >=18.0"
       },
       "peerDependencies": {
-        "postcss": "^8.2.15"
+        "postcss": "^8.4.31"
       }
     },
     "node_modules/postcss-normalize-string": {
-      "version": "5.1.0",
-      "resolved": "https://registry.npmjs.org/postcss-normalize-string/-/postcss-normalize-string-5.1.0.tgz",
-      "integrity": "sha512-oYiIJOf4T9T1N4i+abeIc7Vgm/xPCGih4bZz5Nm0/ARVJ7K6xrDlLwvwqOydvyL3RHNf8qZk6vo3aatiw/go3w==",
+      "version": "6.0.2",
+      "resolved": "https://registry.npmjs.org/postcss-normalize-string/-/postcss-normalize-string-6.0.2.tgz",
+      "integrity": "sha512-vQZIivlxlfqqMp4L9PZsFE4YUkWniziKjQWUtsxUiVsSSPelQydwS8Wwcuw0+83ZjPWNTl02oxlIvXsmmG+CiQ==",
       "dependencies": {
         "postcss-value-parser": "^4.2.0"
       },
       "engines": {
-        "node": "^10 || ^12 || >=14.0"
+        "node": "^14 || ^16 || >=18.0"
       },
       "peerDependencies": {
-        "postcss": "^8.2.15"
+        "postcss": "^8.4.31"
       }
     },
     "node_modules/postcss-normalize-timing-functions": {
-      "version": "5.1.0",
-      "resolved": "https://registry.npmjs.org/postcss-normalize-timing-functions/-/postcss-normalize-timing-functions-5.1.0.tgz",
-      "integrity": "sha512-DOEkzJ4SAXv5xkHl0Wa9cZLF3WCBhF3o1SKVxKQAa+0pYKlueTpCgvkFAHfk+Y64ezX9+nITGrDZeVGgITJXjg==",
+      "version": "6.0.2",
+      "resolved": "https://registry.npmjs.org/postcss-normalize-timing-functions/-/postcss-normalize-timing-functions-6.0.2.tgz",
+      "integrity": "sha512-a+YrtMox4TBtId/AEwbA03VcJgtyW4dGBizPl7e88cTFULYsprgHWTbfyjSLyHeBcK/Q9JhXkt2ZXiwaVHoMzA==",
       "dependencies": {
         "postcss-value-parser": "^4.2.0"
       },
       "engines": {
-        "node": "^10 || ^12 || >=14.0"
+        "node": "^14 || ^16 || >=18.0"
       },
       "peerDependencies": {
-        "postcss": "^8.2.15"
+        "postcss": "^8.4.31"
       }
     },
     "node_modules/postcss-normalize-unicode": {
-      "version": "5.1.1",
-      "resolved": "https://registry.npmjs.org/postcss-normalize-unicode/-/postcss-normalize-unicode-5.1.1.tgz",
-      "integrity": "sha512-qnCL5jzkNUmKVhZoENp1mJiGNPcsJCs1aaRmURmeJGES23Z/ajaln+EPTD+rBeNkSryI+2WTdW+lwcVdOikrpA==",
+      "version": "6.1.0",
+      "resolved": "https://registry.npmjs.org/postcss-normalize-unicode/-/postcss-normalize-unicode-6.1.0.tgz",
+      "integrity": "sha512-QVC5TQHsVj33otj8/JD869Ndr5Xcc/+fwRh4HAsFsAeygQQXm+0PySrKbr/8tkDKzW+EVT3QkqZMfFrGiossDg==",
       "dependencies": {
-        "browserslist": "^4.21.4",
+        "browserslist": "^4.23.0",
         "postcss-value-parser": "^4.2.0"
       },
       "engines": {
-        "node": "^10 || ^12 || >=14.0"
+        "node": "^14 || ^16 || >=18.0"
       },
       "peerDependencies": {
-        "postcss": "^8.2.15"
+        "postcss": "^8.4.31"
       }
     },
     "node_modules/postcss-normalize-url": {
-      "version": "5.1.0",
-      "resolved": "https://registry.npmjs.org/postcss-normalize-url/-/postcss-normalize-url-5.1.0.tgz",
-      "integrity": "sha512-5upGeDO+PVthOxSmds43ZeMeZfKH+/DKgGRD7TElkkyS46JXAUhMzIKiCa7BabPeIy3AQcTkXwVVN7DbqsiCew==",
+      "version": "6.0.2",
+      "resolved": "https://registry.npmjs.org/postcss-normalize-url/-/postcss-normalize-url-6.0.2.tgz",
+      "integrity": "sha512-kVNcWhCeKAzZ8B4pv/DnrU1wNh458zBNp8dh4y5hhxih5RZQ12QWMuQrDgPRw3LRl8mN9vOVfHl7uhvHYMoXsQ==",
       "dependencies": {
-        "normalize-url": "^6.0.1",
         "postcss-value-parser": "^4.2.0"
       },
       "engines": {
-        "node": "^10 || ^12 || >=14.0"
+        "node": "^14 || ^16 || >=18.0"
       },
       "peerDependencies": {
-        "postcss": "^8.2.15"
+        "postcss": "^8.4.31"
       }
     },
     "node_modules/postcss-normalize-whitespace": {
-      "version": "5.1.1",
-      "resolved": "https://registry.npmjs.org/postcss-normalize-whitespace/-/postcss-normalize-whitespace-5.1.1.tgz",
-      "integrity": "sha512-83ZJ4t3NUDETIHTa3uEg6asWjSBYL5EdkVB0sDncx9ERzOKBVJIUeDO9RyA9Zwtig8El1d79HBp0JEi8wvGQnA==",
+      "version": "6.0.2",
+      "resolved": "https://registry.npmjs.org/postcss-normalize-whitespace/-/postcss-normalize-whitespace-6.0.2.tgz",
+      "integrity": "sha512-sXZ2Nj1icbJOKmdjXVT9pnyHQKiSAyuNQHSgRCUgThn2388Y9cGVDR+E9J9iAYbSbLHI+UUwLVl1Wzco/zgv0Q==",
       "dependencies": {
         "postcss-value-parser": "^4.2.0"
       },
       "engines": {
-        "node": "^10 || ^12 || >=14.0"
+        "node": "^14 || ^16 || >=18.0"
       },
       "peerDependencies": {
-        "postcss": "^8.2.15"
+        "postcss": "^8.4.31"
       }
     },
     "node_modules/postcss-ordered-values": {
-      "version": "5.1.3",
-      "resolved": "https://registry.npmjs.org/postcss-ordered-values/-/postcss-ordered-values-5.1.3.tgz",
-      "integrity": "sha512-9UO79VUhPwEkzbb3RNpqqghc6lcYej1aveQteWY+4POIwlqkYE21HKWaLDF6lWNuqCobEAyTovVhtI32Rbv2RQ==",
+      "version": "6.0.2",
+      "resolved": "https://registry.npmjs.org/postcss-ordered-values/-/postcss-ordered-values-6.0.2.tgz",
+      "integrity": "sha512-VRZSOB+JU32RsEAQrO94QPkClGPKJEL/Z9PCBImXMhIeK5KAYo6slP/hBYlLgrCjFxyqvn5VC81tycFEDBLG1Q==",
       "dependencies": {
-        "cssnano-utils": "^3.1.0",
+        "cssnano-utils": "^4.0.2",
         "postcss-value-parser": "^4.2.0"
       },
       "engines": {
-        "node": "^10 || ^12 || >=14.0"
+        "node": "^14 || ^16 || >=18.0"
       },
       "peerDependencies": {
-        "postcss": "^8.2.15"
+        "postcss": "^8.4.31"
       }
     },
     "node_modules/postcss-reduce-idents": {
-      "version": "5.2.0",
-      "resolved": "https://registry.npmjs.org/postcss-reduce-idents/-/postcss-reduce-idents-5.2.0.tgz",
-      "integrity": "sha512-BTrLjICoSB6gxbc58D5mdBK8OhXRDqud/zodYfdSi52qvDHdMwk+9kB9xsM8yJThH/sZU5A6QVSmMmaN001gIg==",
+      "version": "6.0.3",
+      "resolved": "https://registry.npmjs.org/postcss-reduce-idents/-/postcss-reduce-idents-6.0.3.tgz",
+      "integrity": "sha512-G3yCqZDpsNPoQgbDUy3T0E6hqOQ5xigUtBQyrmq3tn2GxlyiL0yyl7H+T8ulQR6kOcHJ9t7/9H4/R2tv8tJbMA==",
       "dependencies": {
         "postcss-value-parser": "^4.2.0"
       },
       "engines": {
-        "node": "^10 || ^12 || >=14.0"
+        "node": "^14 || ^16 || >=18.0"
       },
       "peerDependencies": {
-        "postcss": "^8.2.15"
+        "postcss": "^8.4.31"
       }
     },
     "node_modules/postcss-reduce-initial": {
-      "version": "5.1.2",
-      "resolved": "https://registry.npmjs.org/postcss-reduce-initial/-/postcss-reduce-initial-5.1.2.tgz",
-      "integrity": "sha512-dE/y2XRaqAi6OvjzD22pjTUQ8eOfc6m/natGHgKFBK9DxFmIm69YmaRVQrGgFlEfc1HePIurY0TmDeROK05rIg==",
+      "version": "6.1.0",
+      "resolved": "https://registry.npmjs.org/postcss-reduce-initial/-/postcss-reduce-initial-6.1.0.tgz",
+      "integrity": "sha512-RarLgBK/CrL1qZags04oKbVbrrVK2wcxhvta3GCxrZO4zveibqbRPmm2VI8sSgCXwoUHEliRSbOfpR0b/VIoiw==",
       "dependencies": {
-        "browserslist": "^4.21.4",
+        "browserslist": "^4.23.0",
         "caniuse-api": "^3.0.0"
       },
       "engines": {
-        "node": "^10 || ^12 || >=14.0"
+        "node": "^14 || ^16 || >=18.0"
       },
       "peerDependencies": {
-        "postcss": "^8.2.15"
+        "postcss": "^8.4.31"
       }
     },
     "node_modules/postcss-reduce-transforms": {
-      "version": "5.1.0",
-      "resolved": "https://registry.npmjs.org/postcss-reduce-transforms/-/postcss-reduce-transforms-5.1.0.tgz",
-      "integrity": "sha512-2fbdbmgir5AvpW9RLtdONx1QoYG2/EtqpNQbFASDlixBbAYuTcJ0dECwlqNqH7VbaUnEnh8SrxOe2sRIn24XyQ==",
+      "version": "6.0.2",
+      "resolved": "https://registry.npmjs.org/postcss-reduce-transforms/-/postcss-reduce-transforms-6.0.2.tgz",
+      "integrity": "sha512-sB+Ya++3Xj1WaT9+5LOOdirAxP7dJZms3GRcYheSPi1PiTMigsxHAdkrbItHxwYHr4kt1zL7mmcHstgMYT+aiA==",
       "dependencies": {
         "postcss-value-parser": "^4.2.0"
       },
       "engines": {
-        "node": "^10 || ^12 || >=14.0"
+        "node": "^14 || ^16 || >=18.0"
       },
       "peerDependencies": {
-        "postcss": "^8.2.15"
+        "postcss": "^8.4.31"
       }
     },
     "node_modules/postcss-selector-parser": {
-      "version": "6.0.14",
-      "resolved": "https://registry.npmjs.org/postcss-selector-parser/-/postcss-selector-parser-6.0.14.tgz",
-      "integrity": "sha512-65xXYsT40i9GyWzlHQ5ShZoK7JZdySeOozi/tz2EezDo6c04q6+ckYMeoY7idaie1qp2dT5KoYQ2yky6JuoHnA==",
+      "version": "6.1.0",
+      "resolved": "https://registry.npmjs.org/postcss-selector-parser/-/postcss-selector-parser-6.1.0.tgz",
+      "integrity": "sha512-UMz42UD0UY0EApS0ZL9o1XnLhSTtvvvLe5Dc2H2O56fvRZi+KulDyf5ctDhhtYJBGKStV2FL1fy6253cmLgqVQ==",
       "dependencies": {
         "cssesc": "^3.0.0",
         "util-deprecate": "^1.0.2"
@@ -17433,46 +17683,46 @@
       }
     },
     "node_modules/postcss-sort-media-queries": {
-      "version": "4.4.1",
-      "resolved": "https://registry.npmjs.org/postcss-sort-media-queries/-/postcss-sort-media-queries-4.4.1.tgz",
-      "integrity": "sha512-QDESFzDDGKgpiIh4GYXsSy6sek2yAwQx1JASl5AxBtU1Lq2JfKBljIPNdil989NcSKRQX1ToiaKphImtBuhXWw==",
+      "version": "5.2.0",
+      "resolved": "https://registry.npmjs.org/postcss-sort-media-queries/-/postcss-sort-media-queries-5.2.0.tgz",
+      "integrity": "sha512-AZ5fDMLD8SldlAYlvi8NIqo0+Z8xnXU2ia0jxmuhxAU+Lqt9K+AlmLNJ/zWEnE9x+Zx3qL3+1K20ATgNOr3fAA==",
       "dependencies": {
-        "sort-css-media-queries": "2.1.0"
+        "sort-css-media-queries": "2.2.0"
       },
       "engines": {
-        "node": ">=10.0.0"
+        "node": ">=14.0.0"
       },
       "peerDependencies": {
-        "postcss": "^8.4.16"
+        "postcss": "^8.4.23"
       }
     },
     "node_modules/postcss-svgo": {
-      "version": "5.1.0",
-      "resolved": "https://registry.npmjs.org/postcss-svgo/-/postcss-svgo-5.1.0.tgz",
-      "integrity": "sha512-D75KsH1zm5ZrHyxPakAxJWtkyXew5qwS70v56exwvw542d9CRtTo78K0WeFxZB4G7JXKKMbEZtZayTGdIky/eA==",
+      "version": "6.0.3",
+      "resolved": "https://registry.npmjs.org/postcss-svgo/-/postcss-svgo-6.0.3.tgz",
+      "integrity": "sha512-dlrahRmxP22bX6iKEjOM+c8/1p+81asjKT+V5lrgOH944ryx/OHpclnIbGsKVd3uWOXFLYJwCVf0eEkJGvO96g==",
       "dependencies": {
         "postcss-value-parser": "^4.2.0",
-        "svgo": "^2.7.0"
+        "svgo": "^3.2.0"
       },
       "engines": {
-        "node": "^10 || ^12 || >=14.0"
+        "node": "^14 || ^16 || >= 18"
       },
       "peerDependencies": {
-        "postcss": "^8.2.15"
+        "postcss": "^8.4.31"
       }
     },
     "node_modules/postcss-unique-selectors": {
-      "version": "5.1.1",
-      "resolved": "https://registry.npmjs.org/postcss-unique-selectors/-/postcss-unique-selectors-5.1.1.tgz",
-      "integrity": "sha512-5JiODlELrz8L2HwxfPnhOWZYWDxVHWL83ufOv84NrcgipI7TaeRsatAhK4Tr2/ZiYldpK/wBvw5BD3qfaK96GA==",
+      "version": "6.0.4",
+      "resolved": "https://registry.npmjs.org/postcss-unique-selectors/-/postcss-unique-selectors-6.0.4.tgz",
+      "integrity": "sha512-K38OCaIrO8+PzpArzkLKB42dSARtC2tmG6PvD4b1o1Q2E9Os8jzfWFfSy/rixsHwohtsDdFtAWGjFVFUdwYaMg==",
       "dependencies": {
-        "postcss-selector-parser": "^6.0.5"
+        "postcss-selector-parser": "^6.0.16"
       },
       "engines": {
-        "node": "^10 || ^12 || >=14.0"
+        "node": "^14 || ^16 || >=18.0"
       },
       "peerDependencies": {
-        "postcss": "^8.2.15"
+        "postcss": "^8.4.31"
       }
     },
     "node_modules/postcss-value-parser": {
@@ -17481,28 +17731,38 @@
       "integrity": "sha512-1NNCs6uurfkVbeXG4S8JFT9t19m45ICnif8zWLd5oPSZ50QnwMfK+H3jv408d4jw/7Bttv5axS5IiHoLaVNHeQ=="
     },
     "node_modules/postcss-zindex": {
-      "version": "5.1.0",
-      "resolved": "https://registry.npmjs.org/postcss-zindex/-/postcss-zindex-5.1.0.tgz",
-      "integrity": "sha512-fgFMf0OtVSBR1va1JNHYgMxYk73yhn/qb4uQDq1DLGYolz8gHCyr/sesEuGUaYs58E3ZJRcpoGuPVoB7Meiq9A==",
+      "version": "6.0.2",
+      "resolved": "https://registry.npmjs.org/postcss-zindex/-/postcss-zindex-6.0.2.tgz",
+      "integrity": "sha512-5BxW9l1evPB/4ZIc+2GobEBoKC+h8gPGCMi+jxsYvd2x0mjq7wazk6DrP71pStqxE9Foxh5TVnonbWpFZzXaYg==",
       "engines": {
-        "node": "^10 || ^12 || >=14.0"
+        "node": "^14 || ^16 || >=18.0"
       },
       "peerDependencies": {
-        "postcss": "^8.2.15"
+        "postcss": "^8.4.31"
       }
     },
     "node_modules/posthog-js": {
-      "version": "1.96.1",
-      "resolved": "https://registry.npmjs.org/posthog-js/-/posthog-js-1.96.1.tgz",
-      "integrity": "sha512-kv1vQqYMt2BV3YHS+wxsbGuP+tz+M3y1AzNhz8TfkpY1HT8W/ONT0i0eQpeRr9Y+d4x/fZ6M4cXG5GMvi9lRCA==",
+      "version": "1.139.3",
+      "resolved": "https://registry.npmjs.org/posthog-js/-/posthog-js-1.139.3.tgz",
+      "integrity": "sha512-NmPtOAXogxT/QSmeVCQJeIemBn8rEGfFPIXOynYKgXfntrw0KhzGXXvRXGLVjl5Zx6Nslf5NlmMnzmq1wjLZIA==",
       "dependencies": {
-        "fflate": "^0.4.1"
+        "fflate": "^0.4.8",
+        "preact": "^10.19.3"
+      }
+    },
+    "node_modules/preact": {
+      "version": "10.22.0",
+      "resolved": "https://registry.npmjs.org/preact/-/preact-10.22.0.tgz",
+      "integrity": "sha512-RRurnSjJPj4rp5K6XoP45Ui33ncb7e4H7WiOHVpjbkvqvA3U+N8Z6Qbo0AE6leGYBV66n8EhEaFixvIu3SkxFw==",
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/preact"
       }
     },
     "node_modules/prebuild-install": {
-      "version": "7.1.1",
-      "resolved": "https://registry.npmjs.org/prebuild-install/-/prebuild-install-7.1.1.tgz",
-      "integrity": "sha512-jAXscXWMcCK8GgCoHOfIr0ODh5ai8mj63L2nWrjuAgXE6tDyYGnx4/8o/rCgU+B4JSyZBKbeZqzhtwtC3ovxjw==",
+      "version": "7.1.2",
+      "resolved": "https://registry.npmjs.org/prebuild-install/-/prebuild-install-7.1.2.tgz",
+      "integrity": "sha512-UnNke3IQb6sgarcZIDU3gbMeTp/9SSU1DAIkil7PrqG1vZlBtY5msYccSKSHDqa3hNg436IXK+SNImReuA1wEQ==",
       "dependencies": {
         "detect-libc": "^2.0.0",
         "expand-template": "^2.0.3",
@@ -17644,9 +17904,9 @@
       }
     },
     "node_modules/property-information": {
-      "version": "6.4.0",
-      "resolved": "https://registry.npmjs.org/property-information/-/property-information-6.4.0.tgz",
-      "integrity": "sha512-9t5qARVofg2xQqKtytzt+lZ4d1Qvj8t5B8fEwXK6qOfgRLgH/b13QlgEyDh033NOS31nXeFbYv7CLUDG1CeifQ==",
+      "version": "6.5.0",
+      "resolved": "https://registry.npmjs.org/property-information/-/property-information-6.5.0.tgz",
+      "integrity": "sha512-PgTgs/BlvHxOu8QuEN7wi5A0OmXaBcHpmCSTehcs6Uuu9IkDIEo13Hy7n898RHfrQ49vKCoGeWZSaAK01nwVig==",
       "funding": {
         "type": "github",
         "url": "https://github.com/sponsors/wooorm"
@@ -17729,12 +17989,12 @@
       }
     },
     "node_modules/qs": {
-      "version": "6.11.2",
-      "resolved": "https://registry.npmjs.org/qs/-/qs-6.11.2.tgz",
-      "integrity": "sha512-tDNIz22aBzCDxLtVH++VnTfzxlfeK5CbqohpSqpJgj1Wg/cQbStNAz3NuqCs5vV+pjBsK4x4pN9HlVh7rcYRiA==",
+      "version": "6.12.1",
+      "resolved": "https://registry.npmjs.org/qs/-/qs-6.12.1.tgz",
+      "integrity": "sha512-zWmv4RSuB9r2mYQw3zxQuHWeU+42aKi1wWig/j4ele4ygELZ7PEO6MM7rim9oAQH2A5MWfsAVf/jPvTPgCbvUQ==",
       "dev": true,
       "dependencies": {
-        "side-channel": "^1.0.4"
+        "side-channel": "^1.0.6"
       },
       "engines": {
         "node": ">=0.6"
@@ -17833,9 +18093,9 @@
       }
     },
     "node_modules/raw-body": {
-      "version": "2.5.1",
-      "resolved": "https://registry.npmjs.org/raw-body/-/raw-body-2.5.1.tgz",
-      "integrity": "sha512-qqJBtEyVgS0ZmPGdCFPWJ3FreoqvG4MVQln/kCgF7Olq95IbOp0/BWyMwbdtn4VTvkM8Y7khCQ2Xgk/tcrCXig==",
+      "version": "2.5.2",
+      "resolved": "https://registry.npmjs.org/raw-body/-/raw-body-2.5.2.tgz",
+      "integrity": "sha512-8zGqypfENjCIqGhgXToC8aB2r7YrBX+AQAfIPs/Mlk+BtPTztOvTS01NRW/3Eh60J+a48lt8qsCzirQ6loCVfA==",
       "dependencies": {
         "bytes": "3.1.2",
         "http-errors": "2.0.0",
@@ -17888,9 +18148,9 @@
       }
     },
     "node_modules/react": {
-      "version": "18.2.0",
-      "resolved": "https://registry.npmjs.org/react/-/react-18.2.0.tgz",
-      "integrity": "sha512-/3IjMdb2L9QbBdWiW5e3P2/npwMBaU9mHCSCUzNln0ZCYbcfTsGbTJrU/kGemdH2IWmB2ioZ+zkxtmq6g09fGQ==",
+      "version": "18.3.1",
+      "resolved": "https://registry.npmjs.org/react/-/react-18.3.1.tgz",
+      "integrity": "sha512-wS+hAgJShR0KhEvPJArfuPVN1+Hz1t0Y6n5jLrGQbkb4urgPE/0Rve+1kMB1v/oWgHgm4WIcV+i7F2pTVj+2iQ==",
       "dependencies": {
         "loose-envify": "^1.1.0"
       },
@@ -18001,9 +18261,9 @@
       }
     },
     "node_modules/react-dev-utils/node_modules/loader-utils": {
-      "version": "3.2.1",
-      "resolved": "https://registry.npmjs.org/loader-utils/-/loader-utils-3.2.1.tgz",
-      "integrity": "sha512-ZvFw1KWS3GVyYBYb7qkmRM/WwL2TQQBxgCK62rlvm4WpVQ23Nb4tYjApUlfjrEGvOs7KHEsmyUn75OHZrJMWPw==",
+      "version": "3.3.1",
+      "resolved": "https://registry.npmjs.org/loader-utils/-/loader-utils-3.3.1.tgz",
+      "integrity": "sha512-FMJTLMXfCLMLfJxcX9PFqX5qD88Z5MRGaZCVzfuqeZSPsyiBzs+pahDQjbIWz2QIzPZz0NX9Zy4FX3lmK6YHIg==",
       "engines": {
         "node": ">= 12.13.0"
       }
@@ -18081,15 +18341,15 @@
       }
     },
     "node_modules/react-dom": {
-      "version": "18.2.0",
-      "resolved": "https://registry.npmjs.org/react-dom/-/react-dom-18.2.0.tgz",
-      "integrity": "sha512-6IMTriUmvsjHUjNtEDudZfuDQUoWXVxKHhlEGSk81n4YFS+r/Kl99wXiwlVXtPBtJenozv2P+hxDsw9eA7Xo6g==",
+      "version": "18.3.1",
+      "resolved": "https://registry.npmjs.org/react-dom/-/react-dom-18.3.1.tgz",
+      "integrity": "sha512-5m4nQKp+rZRb09LNH59GM4BxTh9251/ylbKIbpe7TpGxfJ+9kv6BLkLBXIjjspbgbnIBNqlI23tRnTWT0snUIw==",
       "dependencies": {
         "loose-envify": "^1.1.0",
-        "scheduler": "^0.23.0"
+        "scheduler": "^0.23.2"
       },
       "peerDependencies": {
-        "react": "^18.2.0"
+        "react": "^18.3.1"
       }
     },
     "node_modules/react-error-overlay": {
@@ -18137,9 +18397,9 @@
       "integrity": "sha512-24e6ynE2H+OKt4kqsOvNd8kBpV65zoxbA4BVsEOB3ARVWQki/DHzaUoC5KuON/BiccDaCCTZBuOcfZs70kR8bQ=="
     },
     "node_modules/react-json-view-lite": {
-      "version": "1.2.1",
-      "resolved": "https://registry.npmjs.org/react-json-view-lite/-/react-json-view-lite-1.2.1.tgz",
-      "integrity": "sha512-Itc0g86fytOmKZoIoJyGgvNqohWSbh3NXIKNgH6W6FT9PC1ck4xas1tT3Rr/b3UlFXyA9Jjaw9QSXdZy2JwGMQ==",
+      "version": "1.4.0",
+      "resolved": "https://registry.npmjs.org/react-json-view-lite/-/react-json-view-lite-1.4.0.tgz",
+      "integrity": "sha512-wh6F6uJyYAmQ4fK0e8dSQMEWuvTs2Wr3el3sLD9bambX1+pSWUVXIz1RFaoy3TI1mZ0FqdpKq9YgbgTTgyrmXA==",
       "engines": {
         "node": ">=14"
       },
@@ -18149,12 +18409,11 @@
     },
     "node_modules/react-loadable": {
       "name": "@docusaurus/react-loadable",
-      "version": "5.5.2",
-      "resolved": "https://registry.npmjs.org/@docusaurus/react-loadable/-/react-loadable-5.5.2.tgz",
-      "integrity": "sha512-A3dYjdBGuy0IGT+wyLIGIKLRE+sAk1iNk0f1HjNDysO7u8lhL4N3VEm+FAubmJbAztn94F7MxBTPmnixbiyFdQ==",
+      "version": "6.0.0",
+      "resolved": "https://registry.npmjs.org/@docusaurus/react-loadable/-/react-loadable-6.0.0.tgz",
+      "integrity": "sha512-YMMxTUQV/QFSnbgrP3tjDzLHRg7vsbMn8e9HAa8o/1iXoiomo48b7sk/kkmWEuWNDPJVlKSJRB6Y2fHqdJk+SQ==",
       "dependencies": {
-        "@types/react": "*",
-        "prop-types": "^15.6.2"
+        "@types/react": "*"
       },
       "peerDependencies": {
         "react": "*"
@@ -18176,9 +18435,9 @@
       }
     },
     "node_modules/react-medium-image-zoom": {
-      "version": "5.1.9",
-      "resolved": "https://registry.npmjs.org/react-medium-image-zoom/-/react-medium-image-zoom-5.1.9.tgz",
-      "integrity": "sha512-VOlqStMbztbHftQvl8wwD2oQvcNQjA9dUtNtIxZmwnP7BIcWfsDS5jRH7vJ/R94EtweiuCCAMnoTh7w5RkkJeg==",
+      "version": "5.2.4",
+      "resolved": "https://registry.npmjs.org/react-medium-image-zoom/-/react-medium-image-zoom-5.2.4.tgz",
+      "integrity": "sha512-XLu/fLqpbmhiDAGA6yie78tDv4kh8GxvS7kKQArSOvCvm5zvgItoh4h01NAAvnezQ60ovsTeedHiHG3eG9CcGg==",
       "funding": [
         {
           "type": "github",
@@ -18204,9 +18463,9 @@
       }
     },
     "node_modules/react-player": {
-      "version": "2.14.1",
-      "resolved": "https://registry.npmjs.org/react-player/-/react-player-2.14.1.tgz",
-      "integrity": "sha512-jILj7F9o+6NHzrJ1GqZIxfJgskvGmKeJ05FNhPvgiCpvMZFmFneKEkukywHcULDO2lqITm+zcEkLSq42mX0FbA==",
+      "version": "2.16.0",
+      "resolved": "https://registry.npmjs.org/react-player/-/react-player-2.16.0.tgz",
+      "integrity": "sha512-mAIPHfioD7yxO0GNYVFD1303QFtI3lyyQZLY229UEAp/a10cSW+hPcakg0Keq8uWJxT2OiT/4Gt+Lc9bD6bJmQ==",
       "dependencies": {
         "deepmerge": "^4.0.0",
         "load-script": "^1.0.0",
@@ -18301,9 +18560,9 @@
       }
     },
     "node_modules/react-waypoint/node_modules/react-is": {
-      "version": "18.2.0",
-      "resolved": "https://registry.npmjs.org/react-is/-/react-is-18.2.0.tgz",
-      "integrity": "sha512-xWGDIW6x921xtzPkhiULtthJHoJvBbF3q26fzloPCK0hsvxtPVelvftw3zjbHWSkR2km9Z+4uxbDDK/6Zw9B8w=="
+      "version": "18.3.1",
+      "resolved": "https://registry.npmjs.org/react-is/-/react-is-18.3.1.tgz",
+      "integrity": "sha512-/LLMVyas0ljjAtoYiPqYiL8VWXzUUdThrmU5+n20DZv+a+ClRoevUzw5JxU+Ieh5/c87ytoTBV9G1FiKfNJdmg=="
     },
     "node_modules/read-cache": {
       "version": "1.0.0",
@@ -18944,9 +19203,9 @@
       }
     },
     "node_modules/remark-mdx": {
-      "version": "3.0.0",
-      "resolved": "https://registry.npmjs.org/remark-mdx/-/remark-mdx-3.0.0.tgz",
-      "integrity": "sha512-O7yfjuC6ra3NHPbRVxfflafAj3LTwx3b73aBvkEFU5z4PsD6FD4vrqJAkE5iNGLz71GdjXfgRqm3SQ0h0VuE7g==",
+      "version": "3.0.1",
+      "resolved": "https://registry.npmjs.org/remark-mdx/-/remark-mdx-3.0.1.tgz",
+      "integrity": "sha512-3Pz3yPQ5Rht2pM5R+0J2MrGoBSrzf+tJG94N+t/ilfdh8YLyyKYtidAYwTveB20BoHAcwIopOUqhcmh2F7hGYA==",
       "dependencies": {
         "mdast-util-mdx": "^3.0.0",
         "micromark-extension-mdxjs": "^3.0.0"
@@ -19445,9 +19704,9 @@
       }
     },
     "node_modules/remark-rehype": {
-      "version": "11.0.0",
-      "resolved": "https://registry.npmjs.org/remark-rehype/-/remark-rehype-11.0.0.tgz",
-      "integrity": "sha512-vx8x2MDMcxuE4lBmQ46zYUDfcFMmvg80WYX+UNLeG6ixjdCCLcw1lrgAukwBTuOFsS78eoAedHGn9sNM0w7TPw==",
+      "version": "11.1.0",
+      "resolved": "https://registry.npmjs.org/remark-rehype/-/remark-rehype-11.1.0.tgz",
+      "integrity": "sha512-z3tJrAs2kIs1AqIIy6pzHmAHlF1hWQ+OdY4/hv+Wxe35EhyLKcajL33iUEn3ScxtFox9nUvRufR/Zre8Q08H/g==",
       "dependencies": {
         "@types/hast": "^3.0.0",
         "@types/mdast": "^4.0.0",
@@ -19675,6 +19934,7 @@
       "version": "3.0.2",
       "resolved": "https://registry.npmjs.org/rimraf/-/rimraf-3.0.2.tgz",
       "integrity": "sha512-JZkJMZkAGFFPP2YqXZXPbMlMBgsxzE8ILs4lMIX/2o0L9UBw9O/Y3o6wFw/i9YLapcUJWwqbi3kdxIPdC62TIA==",
+      "deprecated": "Rimraf versions prior to v4 are no longer supported",
       "dependencies": {
         "glob": "^7.1.3"
       },
@@ -19775,9 +20035,9 @@
       "integrity": "sha512-YZo3K82SD7Riyi0E1EQPojLz7kpepnSQI9IyPbHHg1XXXevb5dJI7tpyN2ADxGcQbHG7vcyRHk0cbwqcQriUtg=="
     },
     "node_modules/sass": {
-      "version": "1.69.6",
-      "resolved": "https://registry.npmjs.org/sass/-/sass-1.69.6.tgz",
-      "integrity": "sha512-qbRr3k9JGHWXCvZU77SD2OTwUlC+gNT+61JOLcmLm+XqH4h/5D+p4IIsxvpkB89S9AwJOyb5+rWNpIucaFxSFQ==",
+      "version": "1.77.6",
+      "resolved": "https://registry.npmjs.org/sass/-/sass-1.77.6.tgz",
+      "integrity": "sha512-ByXE1oLD79GVq9Ht1PeHWCPMPB8XHpBuz1r85oByKHjZY6qV6rWnQovQzXJXuQ/XyE1Oj3iPk3lo28uzaRA2/Q==",
       "dev": true,
       "dependencies": {
         "chokidar": ">=3.0.0 <4.0.0",
@@ -19810,14 +20070,14 @@
       }
     },
     "node_modules/sax": {
-      "version": "1.3.0",
-      "resolved": "https://registry.npmjs.org/sax/-/sax-1.3.0.tgz",
-      "integrity": "sha512-0s+oAmw9zLl1V1cS9BtZN7JAd0cW5e0QH4W3LWEK6a4LaLEA2OTpGYWDY+6XasBLtz6wkm3u1xRw95mRuJ59WA=="
+      "version": "1.4.1",
+      "resolved": "https://registry.npmjs.org/sax/-/sax-1.4.1.tgz",
+      "integrity": "sha512-+aWOz7yVScEGoKNd4PA10LZ8sk0A/z5+nXQG5giUO5rprX9jgYsTdov9qCchZiPIZezbZH+jRut8nPodFAX4Jg=="
     },
     "node_modules/scheduler": {
-      "version": "0.23.0",
-      "resolved": "https://registry.npmjs.org/scheduler/-/scheduler-0.23.0.tgz",
-      "integrity": "sha512-CtuThmgHNg7zIZWAXi3AsyIzA3n4xx7aNyjwC2VJldO2LMVDhFK+63xGqq6CsJH4rTAt6/M+N4GhZiDYPx9eUw==",
+      "version": "0.23.2",
+      "resolved": "https://registry.npmjs.org/scheduler/-/scheduler-0.23.2.tgz",
+      "integrity": "sha512-UOShsPwz7NrMUqhR6t0hWjFduvOzbtv7toDH1/hIrfRNIDBnnBWd0CwJTGvTpngVlmwGCdP9/Zl/tVrDqcuYzQ==",
       "dependencies": {
         "loose-envify": "^1.1.0"
       }
@@ -19851,9 +20111,9 @@
       }
     },
     "node_modules/search-insights": {
-      "version": "2.13.0",
-      "resolved": "https://registry.npmjs.org/search-insights/-/search-insights-2.13.0.tgz",
-      "integrity": "sha512-Orrsjf9trHHxFRuo9/rzm0KIWmgzE8RMlZMzuhZOJ01Rnz3D0YBAe+V6473t6/H6c7irs6Lt48brULAiRWb3Vw==",
+      "version": "2.14.0",
+      "resolved": "https://registry.npmjs.org/search-insights/-/search-insights-2.14.0.tgz",
+      "integrity": "sha512-OLN6MsPMCghDOqlCtsIsYgtsC0pnwVTyT9Mu6A3ewOj1DxvzZF6COrn2g86E/c05xbktB0XN04m/t1Z+n+fTGw==",
       "peer": true
     },
     "node_modules/section-matter": {
@@ -19907,24 +20167,10 @@
         "url": "https://github.com/sponsors/sindresorhus"
       }
     },
-    "node_modules/semver-diff/node_modules/lru-cache": {
-      "version": "6.0.0",
-      "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-6.0.0.tgz",
-      "integrity": "sha512-Jo6dJ04CmSjuznwJSS3pUeWmd/H0ffTlkXXgwZi+eq1UCmqQwCh+eLsYOYCwY991i2Fah4h1BEMCx4qThGbsiA==",
-      "dependencies": {
-        "yallist": "^4.0.0"
-      },
-      "engines": {
-        "node": ">=10"
-      }
-    },
     "node_modules/semver-diff/node_modules/semver": {
-      "version": "7.5.4",
-      "resolved": "https://registry.npmjs.org/semver/-/semver-7.5.4.tgz",
-      "integrity": "sha512-1bCSESV6Pv+i21Hvpxp3Dx+pSD8lIPt8uVjRrxAUt/nbswYc+tK6Y2btiULjd4+fnq15PX+nqQDC7Oft7WkwcA==",
-      "dependencies": {
-        "lru-cache": "^6.0.0"
-      },
+      "version": "7.6.2",
+      "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.2.tgz",
+      "integrity": "sha512-FNAIBWCx9qcRhoHcgcJ0gvU7SN1lYU2ZXuSfl04bSC5OpvDHFyJCjdNHomPXxjQlCBU67YW64PzY7/VIEH7F2w==",
       "bin": {
         "semver": "bin/semver.js"
       },
@@ -19932,11 +20178,6 @@
         "node": ">=10"
       }
     },
-    "node_modules/semver-diff/node_modules/yallist": {
-      "version": "4.0.0",
-      "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz",
-      "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A=="
-    },
     "node_modules/send": {
       "version": "0.18.0",
       "resolved": "https://registry.npmjs.org/send/-/send-0.18.0.tgz",
@@ -19987,9 +20228,9 @@
       }
     },
     "node_modules/serialize-javascript": {
-      "version": "6.0.1",
-      "resolved": "https://registry.npmjs.org/serialize-javascript/-/serialize-javascript-6.0.1.tgz",
-      "integrity": "sha512-owoXEFjWRllis8/M1Q+Cw5k8ZH40e3zhp/ovX+Xr/vi1qj6QesbyXXViFbpNvWvPNAD62SutwEXavefrLJWj7w==",
+      "version": "6.0.2",
+      "resolved": "https://registry.npmjs.org/serialize-javascript/-/serialize-javascript-6.0.2.tgz",
+      "integrity": "sha512-Saa1xPByTTq2gdeFZYLLo+RFE35NHZkAbqZeWNd3BpzppeVisAqpDjcp8dyf6uIvEqJRd46jemmyA4iFIeVk8g==",
       "dependencies": {
         "randombytes": "^2.1.0"
       }
@@ -20105,14 +20346,16 @@
       "dev": true
     },
     "node_modules/set-function-length": {
-      "version": "1.1.1",
-      "resolved": "https://registry.npmjs.org/set-function-length/-/set-function-length-1.1.1.tgz",
-      "integrity": "sha512-VoaqjbBJKiWtg4yRcKBQ7g7wnGnLV3M8oLvVWwOk2PdYY6PEFegR1vezXR0tw6fZGF9csVakIRjrJiy2veSBFQ==",
+      "version": "1.2.2",
+      "resolved": "https://registry.npmjs.org/set-function-length/-/set-function-length-1.2.2.tgz",
+      "integrity": "sha512-pgRc4hJ4/sNjWCSS9AmnS40x3bNMDTknHgL5UaMBTMyJnU90EgWh1Rz+MC9eFu4BuN/UwZjKQuY/1v3rM7HMfg==",
       "dependencies": {
-        "define-data-property": "^1.1.1",
-        "get-intrinsic": "^1.2.1",
+        "define-data-property": "^1.1.4",
+        "es-errors": "^1.3.0",
+        "function-bind": "^1.1.2",
+        "get-intrinsic": "^1.2.4",
         "gopd": "^1.0.1",
-        "has-property-descriptors": "^1.0.0"
+        "has-property-descriptors": "^1.0.2"
       },
       "engines": {
         "node": ">= 0.4"
@@ -20180,24 +20423,10 @@
         "url": "https://opencollective.com/libvips"
       }
     },
-    "node_modules/sharp/node_modules/lru-cache": {
-      "version": "6.0.0",
-      "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-6.0.0.tgz",
-      "integrity": "sha512-Jo6dJ04CmSjuznwJSS3pUeWmd/H0ffTlkXXgwZi+eq1UCmqQwCh+eLsYOYCwY991i2Fah4h1BEMCx4qThGbsiA==",
-      "dependencies": {
-        "yallist": "^4.0.0"
-      },
-      "engines": {
-        "node": ">=10"
-      }
-    },
     "node_modules/sharp/node_modules/semver": {
-      "version": "7.5.4",
-      "resolved": "https://registry.npmjs.org/semver/-/semver-7.5.4.tgz",
-      "integrity": "sha512-1bCSESV6Pv+i21Hvpxp3Dx+pSD8lIPt8uVjRrxAUt/nbswYc+tK6Y2btiULjd4+fnq15PX+nqQDC7Oft7WkwcA==",
-      "dependencies": {
-        "lru-cache": "^6.0.0"
-      },
+      "version": "7.6.2",
+      "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.2.tgz",
+      "integrity": "sha512-FNAIBWCx9qcRhoHcgcJ0gvU7SN1lYU2ZXuSfl04bSC5OpvDHFyJCjdNHomPXxjQlCBU67YW64PzY7/VIEH7F2w==",
       "bin": {
         "semver": "bin/semver.js"
       },
@@ -20205,11 +20434,6 @@
         "node": ">=10"
       }
     },
-    "node_modules/sharp/node_modules/yallist": {
-      "version": "4.0.0",
-      "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz",
-      "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A=="
-    },
     "node_modules/shebang-command": {
       "version": "2.0.0",
       "resolved": "https://registry.npmjs.org/shebang-command/-/shebang-command-2.0.0.tgz",
@@ -20254,13 +20478,17 @@
       }
     },
     "node_modules/side-channel": {
-      "version": "1.0.4",
-      "resolved": "https://registry.npmjs.org/side-channel/-/side-channel-1.0.4.tgz",
-      "integrity": "sha512-q5XPytqFEIKHkGdiMIrY10mvLRvnQh42/+GoBlFW3b2LXLE2xxJpZFdm94we0BaoV3RwJyGqg5wS7epxTv0Zvw==",
+      "version": "1.0.6",
+      "resolved": "https://registry.npmjs.org/side-channel/-/side-channel-1.0.6.tgz",
+      "integrity": "sha512-fDW/EZ6Q9RiO8eFG8Hj+7u/oW+XrPTIChwCOM2+th2A6OblDtYYIpve9m+KvI9Z4C9qSEXlaGR6bTEYHReuglA==",
       "dependencies": {
-        "call-bind": "^1.0.0",
-        "get-intrinsic": "^1.0.2",
-        "object-inspect": "^1.9.0"
+        "call-bind": "^1.0.7",
+        "es-errors": "^1.3.0",
+        "get-intrinsic": "^1.2.4",
+        "object-inspect": "^1.13.1"
+      },
+      "engines": {
+        "node": ">= 0.4"
       },
       "funding": {
         "url": "https://github.com/sponsors/ljharb"
@@ -20346,9 +20574,9 @@
       "integrity": "sha512-bLGGlR1QxBcynn2d5YmDX4MGjlZvy2MRBDRNHLJ8VI6l6+9FUiyTFNJ0IveOSP0bcXgVDPRcfGqA0pjaqUpfVg=="
     },
     "node_modules/sitemap": {
-      "version": "7.1.1",
-      "resolved": "https://registry.npmjs.org/sitemap/-/sitemap-7.1.1.tgz",
-      "integrity": "sha512-mK3aFtjz4VdJN0igpIJrinf3EO8U8mxOPsTBzSsy06UtjZQJ3YY3o3Xa7zSc5nMqcMrRwlChHZ18Kxg0caiPBg==",
+      "version": "7.1.2",
+      "resolved": "https://registry.npmjs.org/sitemap/-/sitemap-7.1.2.tgz",
+      "integrity": "sha512-ARCqzHJ0p4gWt+j7NlU5eDlIO9+Rkr/JhPFZKKQ1l5GCus7rJH4UdrlVAh0xC/gDS/Qir2UMxqYNHtsKr2rpCw==",
       "dependencies": {
         "@types/node": "^17.0.5",
         "@types/sax": "^1.2.1",
@@ -20397,6 +20625,15 @@
         "npm": ">= 3.0.0"
       }
     },
+    "node_modules/snake-case": {
+      "version": "3.0.4",
+      "resolved": "https://registry.npmjs.org/snake-case/-/snake-case-3.0.4.tgz",
+      "integrity": "sha512-LAOh4z89bGQvl9pFfNF8V146i7o7/CqFPbqzYgP+yYzDIDeS9HaNFtXABamRW+AQzEVODcvE79ljJ+8a9YSdMg==",
+      "dependencies": {
+        "dot-case": "^3.0.4",
+        "tslib": "^2.0.3"
+      }
+    },
     "node_modules/sockjs": {
       "version": "0.3.24",
       "resolved": "https://registry.npmjs.org/sockjs/-/sockjs-0.3.24.tgz",
@@ -20408,16 +20645,16 @@
       }
     },
     "node_modules/socks": {
-      "version": "2.7.1",
-      "resolved": "https://registry.npmjs.org/socks/-/socks-2.7.1.tgz",
-      "integrity": "sha512-7maUZy1N7uo6+WVEX6psASxtNlKaNVMlGQKkG/63nEDdLOWNbiUMoLK7X4uYoLhQstau72mLgfEWcXcwsaHbYQ==",
+      "version": "2.8.3",
+      "resolved": "https://registry.npmjs.org/socks/-/socks-2.8.3.tgz",
+      "integrity": "sha512-l5x7VUUWbjVFbafGLxPWkYsHIhEvmF85tbIeFZWc8ZPtoMyybuEhL7Jye/ooC4/d48FgOjSJXgsF/AJPYCW8Zw==",
       "dev": true,
       "dependencies": {
-        "ip": "^2.0.0",
+        "ip-address": "^9.0.5",
         "smart-buffer": "^4.2.0"
       },
       "engines": {
-        "node": ">= 10.13.0",
+        "node": ">= 10.0.0",
         "npm": ">= 3.0.0"
       }
     },
@@ -20436,9 +20673,9 @@
       }
     },
     "node_modules/sort-css-media-queries": {
-      "version": "2.1.0",
-      "resolved": "https://registry.npmjs.org/sort-css-media-queries/-/sort-css-media-queries-2.1.0.tgz",
-      "integrity": "sha512-IeWvo8NkNiY2vVYdPa27MCQiR0MN0M80johAYFVxWWXQ44KU84WNxjslwBHmc/7ZL2ccwkM7/e6S5aiKZXm7jA==",
+      "version": "2.2.0",
+      "resolved": "https://registry.npmjs.org/sort-css-media-queries/-/sort-css-media-queries-2.2.0.tgz",
+      "integrity": "sha512-0xtkGhWCC9MGt/EzgnvbbbKhqWjl1+/rncmhTh5qCpbYguXh6S/qwePfv/JQ8jePXXmqingylxoC49pCkSPIbA==",
       "engines": {
         "node": ">= 6.3.0"
       }
@@ -20452,9 +20689,9 @@
       }
     },
     "node_modules/source-map-js": {
-      "version": "1.0.2",
-      "resolved": "https://registry.npmjs.org/source-map-js/-/source-map-js-1.0.2.tgz",
-      "integrity": "sha512-R0XvVJ9WusLiqTCEiGCmICCMplcCkIwwR11mOSD9CR5u+IXYdiseeEuXCVAjS54zqwkLcPNnmU4OeJ6tUrWhDw==",
+      "version": "1.2.0",
+      "resolved": "https://registry.npmjs.org/source-map-js/-/source-map-js-1.2.0.tgz",
+      "integrity": "sha512-itJW8lvSA0TXEphiRoawsCksnlf8SyvmFzIhltqAHluXd88pkCd+cXJVHTDwdCr0IzwptSm035IHQktUu1QUMg==",
       "engines": {
         "node": ">=0.10.0"
       }
@@ -20496,9 +20733,9 @@
       }
     },
     "node_modules/spdx-exceptions": {
-      "version": "2.3.0",
-      "resolved": "https://registry.npmjs.org/spdx-exceptions/-/spdx-exceptions-2.3.0.tgz",
-      "integrity": "sha512-/tTrYOC7PPI1nUAgx34hUpqXuyJG+DTHJTnIULG4rDygi4xu/tfgmq1e1cIRwRzwZgo4NLySi+ricLkZkw4i5A==",
+      "version": "2.5.0",
+      "resolved": "https://registry.npmjs.org/spdx-exceptions/-/spdx-exceptions-2.5.0.tgz",
+      "integrity": "sha512-PiU42r+xO4UbUS1buo3LPJkjlO7430Xn5SVAhdpzzsPHsjbYVflnnFdATgabnLude+Cqu25p6N+g2lw/PFsa4w==",
       "dev": true
     },
     "node_modules/spdx-expression-parse": {
@@ -20512,9 +20749,9 @@
       }
     },
     "node_modules/spdx-license-ids": {
-      "version": "3.0.16",
-      "resolved": "https://registry.npmjs.org/spdx-license-ids/-/spdx-license-ids-3.0.16.tgz",
-      "integrity": "sha512-eWN+LnM3GR6gPu35WxNgbGl8rmY1AEmoMDvL/QD6zYmPWgywxWqJWNdLGT+ke8dKNWrcYgYjPpG5gbTfghP8rw==",
+      "version": "3.0.18",
+      "resolved": "https://registry.npmjs.org/spdx-license-ids/-/spdx-license-ids-3.0.18.tgz",
+      "integrity": "sha512-xxRs31BqRYHwiMzudOrpSiHtZ8i/GeionCBDSilhYRj+9gIcI8wCZTlXZKu9vZIVqViP3dcp9qE5G6AlIaD+TQ==",
       "dev": true
     },
     "node_modules/spdy": {
@@ -20546,9 +20783,10 @@
       }
     },
     "node_modules/sprintf-js": {
-      "version": "1.0.3",
-      "resolved": "https://registry.npmjs.org/sprintf-js/-/sprintf-js-1.0.3.tgz",
-      "integrity": "sha512-D9cPgkvLlV3t3IzL0D0YLvGA9Ahk4PcvVwUbN0dSGr1aP0Nrt4AEnTUbuGvquEC0mA64Gqt1fzirlRs5ibXx8g=="
+      "version": "1.1.3",
+      "resolved": "https://registry.npmjs.org/sprintf-js/-/sprintf-js-1.1.3.tgz",
+      "integrity": "sha512-Oo+0REFV59/rz3gfJNKQiBlwfHaSESl1pcGyABQsnnIfWOFt6JNj5gCog2U6MLZ//IGYD+nA8nI+mTShREReaA==",
+      "dev": true
     },
     "node_modules/srcset": {
       "version": "4.0.0",
@@ -20660,12 +20898,16 @@
       }
     },
     "node_modules/streamx": {
-      "version": "2.15.6",
-      "resolved": "https://registry.npmjs.org/streamx/-/streamx-2.15.6.tgz",
-      "integrity": "sha512-q+vQL4AAz+FdfT137VF69Cc/APqUbxy+MDOImRrMvchJpigHj9GksgDU2LYbO9rx7RX6osWgxJB2WxhYv4SZAw==",
+      "version": "2.18.0",
+      "resolved": "https://registry.npmjs.org/streamx/-/streamx-2.18.0.tgz",
+      "integrity": "sha512-LLUC1TWdjVdn1weXGcSxyTR3T4+acB6tVGXT95y0nGbca4t4o/ng1wKAGTljm9VicuCVLvRlqFYXYy5GwgM7sQ==",
       "dependencies": {
-        "fast-fifo": "^1.1.0",
-        "queue-tick": "^1.0.1"
+        "fast-fifo": "^1.3.2",
+        "queue-tick": "^1.0.1",
+        "text-decoder": "^1.1.0"
+      },
+      "optionalDependencies": {
+        "bare-events": "^2.2.0"
       }
     },
     "node_modules/string_decoder": {
@@ -20737,9 +20979,9 @@
       }
     },
     "node_modules/stringify-entities": {
-      "version": "4.0.3",
-      "resolved": "https://registry.npmjs.org/stringify-entities/-/stringify-entities-4.0.3.tgz",
-      "integrity": "sha512-BP9nNHMhhfcMbiuQKCqMjhDP5yBCAxsPu4pHFFzJ6Alo9dZgY4VLDPutXqIjpRiMoKdp7Av85Gr73Q5uH9k7+g==",
+      "version": "4.0.4",
+      "resolved": "https://registry.npmjs.org/stringify-entities/-/stringify-entities-4.0.4.tgz",
+      "integrity": "sha512-IwfBptatlO+QCJUo19AqvrPNqlVMpW9YEL2LIVY+Rpv2qsjCGxaDLNRgeGsQWJhfItebuJhsGSLjaBbNSQ+ieg==",
       "dependencies": {
         "character-entities-html4": "^2.0.0",
         "character-entities-legacy": "^3.0.0"
@@ -20854,18 +21096,18 @@
       }
     },
     "node_modules/stylehacks": {
-      "version": "5.1.1",
-      "resolved": "https://registry.npmjs.org/stylehacks/-/stylehacks-5.1.1.tgz",
-      "integrity": "sha512-sBpcd5Hx7G6seo7b1LkpttvTz7ikD0LlH5RmdcBNb6fFR0Fl7LQwHDFr300q4cwUqi+IYrFGmsIHieMBfnN/Bw==",
+      "version": "6.1.1",
+      "resolved": "https://registry.npmjs.org/stylehacks/-/stylehacks-6.1.1.tgz",
+      "integrity": "sha512-gSTTEQ670cJNoaeIp9KX6lZmm8LJ3jPB5yJmX8Zq/wQxOsAFXV3qjWzHas3YYk1qesuVIyYWWUpZ0vSE/dTSGg==",
       "dependencies": {
-        "browserslist": "^4.21.4",
-        "postcss-selector-parser": "^6.0.4"
+        "browserslist": "^4.23.0",
+        "postcss-selector-parser": "^6.0.16"
       },
       "engines": {
-        "node": "^10 || ^12 || >=14.0"
+        "node": "^14 || ^16 || >=18.0"
       },
       "peerDependencies": {
-        "postcss": "^8.2.15"
+        "postcss": "^8.4.31"
       }
     },
     "node_modules/sucrase": {
@@ -20906,30 +21148,31 @@
       }
     },
     "node_modules/sucrase/node_modules/glob": {
-      "version": "10.3.10",
-      "resolved": "https://registry.npmjs.org/glob/-/glob-10.3.10.tgz",
-      "integrity": "sha512-fa46+tv1Ak0UPK1TOy/pZrIybNNt4HCv7SDzwyfiOZkvZLEbjsZkJBPtDHVshZjbecAoAGSC20MjLDG/qr679g==",
+      "version": "10.4.2",
+      "resolved": "https://registry.npmjs.org/glob/-/glob-10.4.2.tgz",
+      "integrity": "sha512-GwMlUF6PkPo3Gk21UxkCohOv0PLcIXVtKyLlpEI28R/cO/4eNOdmLk3CMW1wROV/WR/EsZOWAfBbBOqYvs88/w==",
       "dependencies": {
         "foreground-child": "^3.1.0",
-        "jackspeak": "^2.3.5",
-        "minimatch": "^9.0.1",
-        "minipass": "^5.0.0 || ^6.0.2 || ^7.0.0",
-        "path-scurry": "^1.10.1"
+        "jackspeak": "^3.1.2",
+        "minimatch": "^9.0.4",
+        "minipass": "^7.1.2",
+        "package-json-from-dist": "^1.0.0",
+        "path-scurry": "^1.11.1"
       },
       "bin": {
         "glob": "dist/esm/bin.mjs"
       },
       "engines": {
-        "node": ">=16 || 14 >=14.17"
+        "node": ">=16 || 14 >=14.18"
       },
       "funding": {
         "url": "https://github.com/sponsors/isaacs"
       }
     },
     "node_modules/sucrase/node_modules/minimatch": {
-      "version": "9.0.3",
-      "resolved": "https://registry.npmjs.org/minimatch/-/minimatch-9.0.3.tgz",
-      "integrity": "sha512-RHiac9mvaRw0x3AYRgDC1CxAP7HTcNrrECeA8YYJeWnpo+2Q5CegtZjaotWTWxDG3UeGA1coE05iH1mPjT/2mg==",
+      "version": "9.0.4",
+      "resolved": "https://registry.npmjs.org/minimatch/-/minimatch-9.0.4.tgz",
+      "integrity": "sha512-KqWh+VchfxcMNRAJjj2tnsSJdNbHsVgnkBhTNrW7AjVo6OvLtxw8zfT9oLw1JSohlFzJ8jCoTgaoXvJ+kHt6fw==",
       "dependencies": {
         "brace-expansion": "^2.0.1"
       },
@@ -20941,9 +21184,9 @@
       }
     },
     "node_modules/sucrase/node_modules/minipass": {
-      "version": "7.0.4",
-      "resolved": "https://registry.npmjs.org/minipass/-/minipass-7.0.4.tgz",
-      "integrity": "sha512-jYofLM5Dam9279rdkWzqHozUo4ybjdZmCsDHePy5V/PbBcVMiSZR97gmAy45aqi8CK1lG2ECd356FU86avfwUQ==",
+      "version": "7.1.2",
+      "resolved": "https://registry.npmjs.org/minipass/-/minipass-7.1.2.tgz",
+      "integrity": "sha512-qOOzS1cBTWYF4BH8fVePDBOO9iptMnGUEZwNc/cMWnTV2nVLZ7VoNWEPHkYczZA0pdoA7dl6e7FL659nX9S2aw==",
       "engines": {
         "node": ">=16 || 14 >=14.17"
       }
@@ -20976,23 +21219,27 @@
       "integrity": "sha512-e4hG1hRwoOdRb37cIMSgzNsxyzKfayW6VOflrwvR+/bzrkyxY/31WkbgnQpgtrNp1SdpJvpUAGTa/ZoiPNDuRQ=="
     },
     "node_modules/svgo": {
-      "version": "2.8.0",
-      "resolved": "https://registry.npmjs.org/svgo/-/svgo-2.8.0.tgz",
-      "integrity": "sha512-+N/Q9kV1+F+UeWYoSiULYo4xYSDQlTgb+ayMobAXPwMnLvop7oxKMo9OzIrX5x3eS4L4f2UHhc9axXwY8DpChg==",
+      "version": "3.3.2",
+      "resolved": "https://registry.npmjs.org/svgo/-/svgo-3.3.2.tgz",
+      "integrity": "sha512-OoohrmuUlBs8B8o6MB2Aevn+pRIH9zDALSR+6hhqVfa6fRwG/Qw9VUMSMW9VNg2CFc/MTIfabtdOVl9ODIJjpw==",
       "dependencies": {
         "@trysound/sax": "0.2.0",
         "commander": "^7.2.0",
-        "css-select": "^4.1.3",
-        "css-tree": "^1.1.3",
-        "csso": "^4.2.0",
-        "picocolors": "^1.0.0",
-        "stable": "^0.1.8"
+        "css-select": "^5.1.0",
+        "css-tree": "^2.3.1",
+        "css-what": "^6.1.0",
+        "csso": "^5.0.5",
+        "picocolors": "^1.0.0"
       },
       "bin": {
         "svgo": "bin/svgo"
       },
       "engines": {
-        "node": ">=10.13.0"
+        "node": ">=14.0.0"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/svgo"
       }
     },
     "node_modules/svgo/node_modules/commander": {
@@ -21003,78 +21250,15 @@
         "node": ">= 10"
       }
     },
-    "node_modules/svgo/node_modules/css-select": {
-      "version": "4.3.0",
-      "resolved": "https://registry.npmjs.org/css-select/-/css-select-4.3.0.tgz",
-      "integrity": "sha512-wPpOYtnsVontu2mODhA19JrqWxNsfdatRKd64kmpRbQgh1KtItko5sTnEpPdpSaJszTOhEMlF/RPz28qj4HqhQ==",
-      "dependencies": {
-        "boolbase": "^1.0.0",
-        "css-what": "^6.0.1",
-        "domhandler": "^4.3.1",
-        "domutils": "^2.8.0",
-        "nth-check": "^2.0.1"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/fb55"
-      }
-    },
-    "node_modules/svgo/node_modules/dom-serializer": {
-      "version": "1.4.1",
-      "resolved": "https://registry.npmjs.org/dom-serializer/-/dom-serializer-1.4.1.tgz",
-      "integrity": "sha512-VHwB3KfrcOOkelEG2ZOfxqLZdfkil8PtJi4P8N2MMXucZq2yLp75ClViUlOVwyoHEDjYU433Aq+5zWP61+RGag==",
-      "dependencies": {
-        "domelementtype": "^2.0.1",
-        "domhandler": "^4.2.0",
-        "entities": "^2.0.0"
-      },
-      "funding": {
-        "url": "https://github.com/cheeriojs/dom-serializer?sponsor=1"
-      }
-    },
-    "node_modules/svgo/node_modules/domhandler": {
-      "version": "4.3.1",
-      "resolved": "https://registry.npmjs.org/domhandler/-/domhandler-4.3.1.tgz",
-      "integrity": "sha512-GrwoxYN+uWlzO8uhUXRl0P+kHE4GtVPfYzVLcUxPL7KNdHKj66vvlhiweIHqYYXWlw+T8iLMp42Lm67ghw4WMQ==",
-      "dependencies": {
-        "domelementtype": "^2.2.0"
-      },
-      "engines": {
-        "node": ">= 4"
-      },
-      "funding": {
-        "url": "https://github.com/fb55/domhandler?sponsor=1"
-      }
-    },
-    "node_modules/svgo/node_modules/domutils": {
-      "version": "2.8.0",
-      "resolved": "https://registry.npmjs.org/domutils/-/domutils-2.8.0.tgz",
-      "integrity": "sha512-w96Cjofp72M5IIhpjgobBimYEfoPjx1Vx0BSX9P30WBdZW2WIKU0T1Bd0kz2eNZ9ikjKgHbEyKx8BB6H1L3h3A==",
-      "dependencies": {
-        "dom-serializer": "^1.0.1",
-        "domelementtype": "^2.2.0",
-        "domhandler": "^4.2.0"
-      },
-      "funding": {
-        "url": "https://github.com/fb55/domutils?sponsor=1"
-      }
-    },
-    "node_modules/svgo/node_modules/entities": {
-      "version": "2.2.0",
-      "resolved": "https://registry.npmjs.org/entities/-/entities-2.2.0.tgz",
-      "integrity": "sha512-p92if5Nz619I0w+akJrLZH0MX0Pb5DX39XOwQTtXSdQQOaYH03S1uIQp4mhOZtAXrxq4ViO67YTiLBo2638o9A==",
-      "funding": {
-        "url": "https://github.com/fb55/entities?sponsor=1"
-      }
-    },
     "node_modules/swizzle": {
       "version": "1.1.0",
       "resolved": "https://registry.npmjs.org/swizzle/-/swizzle-1.1.0.tgz",
       "integrity": "sha512-L5wVfkVqNbYsz6xAPgPLo/ra7TyA+7nYvNm4i+LH6naTm8p7VKlVu/WmQWJ5yU03Gcabb34KfVppHcrGNdzi5Q=="
     },
     "node_modules/tailwindcss": {
-      "version": "3.4.0",
-      "resolved": "https://registry.npmjs.org/tailwindcss/-/tailwindcss-3.4.0.tgz",
-      "integrity": "sha512-VigzymniH77knD1dryXbyxR+ePHihHociZbXnLZHUyzf2MMs2ZVqlUrZ3FvpXP8pno9JzmILt1sZPD19M3IxtA==",
+      "version": "3.4.4",
+      "resolved": "https://registry.npmjs.org/tailwindcss/-/tailwindcss-3.4.4.tgz",
+      "integrity": "sha512-ZoyXOdJjISB7/BcLTR6SEsLgKtDStYyYZVLsUtWChO4Ps20CBad7lfJKVDiejocV4ME1hLmyY0WJE3hSDcmQ2A==",
       "dependencies": {
         "@alloc/quick-lru": "^5.2.0",
         "arg": "^5.0.2",
@@ -21084,7 +21268,7 @@
         "fast-glob": "^3.3.0",
         "glob-parent": "^6.0.2",
         "is-glob": "^4.0.3",
-        "jiti": "^1.19.1",
+        "jiti": "^1.21.0",
         "lilconfig": "^2.1.0",
         "micromatch": "^4.0.5",
         "normalize-path": "^3.0.0",
@@ -21118,6 +21302,14 @@
         "node": ">=10.13.0"
       }
     },
+    "node_modules/tailwindcss/node_modules/lilconfig": {
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/lilconfig/-/lilconfig-2.1.0.tgz",
+      "integrity": "sha512-utWOt/GHzuUxnLKxB6dk81RoOeoNeHgbrXiuGk4yyF5qlRz+iIVWu56E2fqGHFrXz0QNUhLB/8nKqvRH66JKGQ==",
+      "engines": {
+        "node": ">=10"
+      }
+    },
     "node_modules/tapable": {
       "version": "2.2.1",
       "resolved": "https://registry.npmjs.org/tapable/-/tapable-2.2.1.tgz",
@@ -21127,9 +21319,9 @@
       }
     },
     "node_modules/tar": {
-      "version": "6.2.0",
-      "resolved": "https://registry.npmjs.org/tar/-/tar-6.2.0.tgz",
-      "integrity": "sha512-/Wo7DcT0u5HUV486xg675HtjNd3BXZ6xDbzsCUZPt5iw8bTQ63bP0Raut3mvro9u+CUyq7YQd8Cx55fsZXxqLQ==",
+      "version": "6.2.1",
+      "resolved": "https://registry.npmjs.org/tar/-/tar-6.2.1.tgz",
+      "integrity": "sha512-DZ4yORTwrbTj/7MZYq2w+/ZFdI6OZ/f9SFHR+71gIVUZhOQPHzVCLpvRnPgyaMpfWxxk/4ONva3GQSyNIKRv6A==",
       "dev": true,
       "dependencies": {
         "chownr": "^2.0.0",
@@ -21144,19 +21336,22 @@
       }
     },
     "node_modules/tar-fs": {
-      "version": "3.0.4",
-      "resolved": "https://registry.npmjs.org/tar-fs/-/tar-fs-3.0.4.tgz",
-      "integrity": "sha512-5AFQU8b9qLfZCX9zp2duONhPmZv0hGYiBPJsyUdqMjzq/mqVpy/rEUSeHk1+YitmxugaptgBh5oDGU3VsAJq4w==",
+      "version": "3.0.6",
+      "resolved": "https://registry.npmjs.org/tar-fs/-/tar-fs-3.0.6.tgz",
+      "integrity": "sha512-iokBDQQkUyeXhgPYaZxmczGPhnhXZ0CmrqI+MOb/WFGS9DW5wnfrLgtjUJBvz50vQ3qfRwJ62QVoCFu8mPVu5w==",
       "dependencies": {
-        "mkdirp-classic": "^0.5.2",
         "pump": "^3.0.0",
         "tar-stream": "^3.1.5"
+      },
+      "optionalDependencies": {
+        "bare-fs": "^2.1.1",
+        "bare-path": "^2.1.0"
       }
     },
     "node_modules/tar-stream": {
-      "version": "3.1.6",
-      "resolved": "https://registry.npmjs.org/tar-stream/-/tar-stream-3.1.6.tgz",
-      "integrity": "sha512-B/UyjYwPpMBv+PaFSWAmtYjwdrlEaZQEhMIBFNC5oEG8lpiW8XjcSdmEaClj28ArfKScKHs2nshz3k2le6crsg==",
+      "version": "3.1.7",
+      "resolved": "https://registry.npmjs.org/tar-stream/-/tar-stream-3.1.7.tgz",
+      "integrity": "sha512-qJj60CXt7IU1Ffyc3NJMjh6EkuCFej46zUqJ4J7pqYlThyd9bO0XBTmcOIhSzZJVWfsLks0+nle/j538YAW9RQ==",
       "dependencies": {
         "b4a": "^1.6.4",
         "fast-fifo": "^1.2.0",
@@ -21179,9 +21374,9 @@
       "dev": true
     },
     "node_modules/terser": {
-      "version": "5.26.0",
-      "resolved": "https://registry.npmjs.org/terser/-/terser-5.26.0.tgz",
-      "integrity": "sha512-dytTGoE2oHgbNV9nTzgBEPaqAWvcJNl66VZ0BkJqlvp71IjO8CxdBx/ykCNb47cLnCmCvRZ6ZR0tLkqvZCdVBQ==",
+      "version": "5.31.1",
+      "resolved": "https://registry.npmjs.org/terser/-/terser-5.31.1.tgz",
+      "integrity": "sha512-37upzU1+viGvuFtBo9NPufCb9dwM0+l9hMxYyWfBA+fbwrPqNJAhbZ6W47bBFnZHKHTUBnMvi87434qq+qnxOg==",
       "dependencies": {
         "@jridgewell/source-map": "^0.3.3",
         "acorn": "^8.8.2",
@@ -21313,6 +21508,14 @@
       "resolved": "https://registry.npmjs.org/commander/-/commander-2.20.3.tgz",
       "integrity": "sha512-GpVkmM8vF2vQUkj2LvZmD35JxeJOLCwJ9cUkugyk2nuhbv3+mJvpLYYt+0+USMxE+oj+ey/lJEnhZw75x/OMcQ=="
     },
+    "node_modules/text-decoder": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/text-decoder/-/text-decoder-1.1.0.tgz",
+      "integrity": "sha512-TmLJNj6UgX8xcUZo4UDStGQtDiTzF7BzWlzn9g7UWrjkpHr5uJTK1ld16wZ3LXb2vb6jH8qU89dW5whuMdXYdw==",
+      "dependencies": {
+        "b4a": "^1.6.4"
+      }
+    },
     "node_modules/text-table": {
       "version": "0.2.0",
       "resolved": "https://registry.npmjs.org/text-table/-/text-table-0.2.0.tgz",
@@ -21355,9 +21558,9 @@
       }
     },
     "node_modules/tiny-invariant": {
-      "version": "1.3.1",
-      "resolved": "https://registry.npmjs.org/tiny-invariant/-/tiny-invariant-1.3.1.tgz",
-      "integrity": "sha512-AD5ih2NlSssTCwsMznbvwMZpJ1cbhkGd2uueNxzv2jDlEeZdU04JQfRnggJQ8DrcVBGjAsCKwFBbDlVNtEMlzw=="
+      "version": "1.3.3",
+      "resolved": "https://registry.npmjs.org/tiny-invariant/-/tiny-invariant-1.3.3.tgz",
+      "integrity": "sha512-+FbBPE1o9QAYvviau/qC5SE3caw21q3xkvWKBtja5vgqOWIHHJ3ioaq1VPfn/Szqctz2bU/oYeKd9/z5BL+PVg=="
     },
     "node_modules/tiny-warning": {
       "version": "1.0.3",
@@ -21423,9 +21626,9 @@
       }
     },
     "node_modules/trough": {
-      "version": "2.1.0",
-      "resolved": "https://registry.npmjs.org/trough/-/trough-2.1.0.tgz",
-      "integrity": "sha512-AqTiAOLcj85xS7vQ8QkAV41hPDIJ71XJB4RCUrzo/1GM2CQwhkJGaf9Hgr7BOugMRpgGUrqRg/DrBDl4H40+8g==",
+      "version": "2.2.0",
+      "resolved": "https://registry.npmjs.org/trough/-/trough-2.2.0.tgz",
+      "integrity": "sha512-tmMpK00BjZiUyVyvrBK7knerNgmgvcV/KLVyuma/SC+TQN167GrMRciANTz09+k3zW8L8t60jWO1GpfkZdjTaw==",
       "funding": {
         "type": "github",
         "url": "https://github.com/sponsors/wooorm"
@@ -21520,26 +21723,11 @@
         "node": ">=8"
       }
     },
-    "node_modules/ts-loader/node_modules/lru-cache": {
-      "version": "6.0.0",
-      "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-6.0.0.tgz",
-      "integrity": "sha512-Jo6dJ04CmSjuznwJSS3pUeWmd/H0ffTlkXXgwZi+eq1UCmqQwCh+eLsYOYCwY991i2Fah4h1BEMCx4qThGbsiA==",
-      "dev": true,
-      "dependencies": {
-        "yallist": "^4.0.0"
-      },
-      "engines": {
-        "node": ">=10"
-      }
-    },
     "node_modules/ts-loader/node_modules/semver": {
-      "version": "7.5.4",
-      "resolved": "https://registry.npmjs.org/semver/-/semver-7.5.4.tgz",
-      "integrity": "sha512-1bCSESV6Pv+i21Hvpxp3Dx+pSD8lIPt8uVjRrxAUt/nbswYc+tK6Y2btiULjd4+fnq15PX+nqQDC7Oft7WkwcA==",
+      "version": "7.6.2",
+      "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.2.tgz",
+      "integrity": "sha512-FNAIBWCx9qcRhoHcgcJ0gvU7SN1lYU2ZXuSfl04bSC5OpvDHFyJCjdNHomPXxjQlCBU67YW64PzY7/VIEH7F2w==",
       "dev": true,
-      "dependencies": {
-        "lru-cache": "^6.0.0"
-      },
       "bin": {
         "semver": "bin/semver.js"
       },
@@ -21559,16 +21747,10 @@
         "node": ">=8"
       }
     },
-    "node_modules/ts-loader/node_modules/yallist": {
-      "version": "4.0.0",
-      "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz",
-      "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A==",
-      "dev": true
-    },
     "node_modules/tslib": {
-      "version": "2.6.2",
-      "resolved": "https://registry.npmjs.org/tslib/-/tslib-2.6.2.tgz",
-      "integrity": "sha512-AEYxH93jGFPn/a2iVAwW87VuUIkR1FVUKB77NwMF7nBTDkDrrT/Hpt/IrCJ0QXhW27jTBDcf5ZY7w6RiqTMw2Q=="
+      "version": "2.6.3",
+      "resolved": "https://registry.npmjs.org/tslib/-/tslib-2.6.3.tgz",
+      "integrity": "sha512-xNvxJEOUiWPGhUuUdQgAJPKOOJfGnIyKySOc09XkKsgdUV/3E2zvwZYdejjmRgPCgcym1juLH3226yA7sEFJKQ=="
     },
     "node_modules/tty-browserify": {
       "version": "0.0.1",
@@ -21638,9 +21820,9 @@
       }
     },
     "node_modules/typescript": {
-      "version": "5.3.3",
-      "resolved": "https://registry.npmjs.org/typescript/-/typescript-5.3.3.tgz",
-      "integrity": "sha512-pXWcraxM0uxAS+tN0AG/BF2TyqmHO014Z070UsJ+pFvYuRSq8KH8DmWpnbXe0pEPDHXZV3FcAbJkijJ5oNEnWw==",
+      "version": "5.4.5",
+      "resolved": "https://registry.npmjs.org/typescript/-/typescript-5.4.5.tgz",
+      "integrity": "sha512-vcI4UpRgg81oIRUFwR0WSIHKt11nJ7SAVlYNIu+QpqeyXP+gpQJy/Z4+F0aGxSE4MqwjyXvW/TzgkLAx2AGHwQ==",
       "peer": true,
       "bin": {
         "tsc": "bin/tsc",
@@ -21700,9 +21882,9 @@
       }
     },
     "node_modules/unified": {
-      "version": "11.0.4",
-      "resolved": "https://registry.npmjs.org/unified/-/unified-11.0.4.tgz",
-      "integrity": "sha512-apMPnyLjAX+ty4OrNap7yumyVAMlKx5IWU2wlzzUdYJO9A8f1p9m/gywF/GM2ZDFcjQPrx59Mc90KwmxsoklxQ==",
+      "version": "11.0.5",
+      "resolved": "https://registry.npmjs.org/unified/-/unified-11.0.5.tgz",
+      "integrity": "sha512-xKvGhPWw3k84Qjh8bI3ZeJjqnyadK+GEFtazSfZv/rKeTkTjOJho6mFqh2SM96iIcZokxiOpg78GazTSg8+KHA==",
       "dependencies": {
         "@types/unist": "^3.0.0",
         "bail": "^2.0.0",
@@ -21869,9 +22051,9 @@
       }
     },
     "node_modules/update-browserslist-db": {
-      "version": "1.0.13",
-      "resolved": "https://registry.npmjs.org/update-browserslist-db/-/update-browserslist-db-1.0.13.tgz",
-      "integrity": "sha512-xebP81SNcPuNpPP3uzeW1NYXxI3rxyJzF3pD6sH4jE7o/IX+WtSpwnVU+qIsDPyk0d3hmFQ7mjqc6AtV604hbg==",
+      "version": "1.0.16",
+      "resolved": "https://registry.npmjs.org/update-browserslist-db/-/update-browserslist-db-1.0.16.tgz",
+      "integrity": "sha512-KVbTxlBYlckhF5wgfyZXTWnMn7MMZjMu9XG8bPlliUOP9ThaF4QnhP8qrjrH7DRzHfSk0oQv1wToW+iA5GajEQ==",
       "funding": [
         {
           "type": "opencollective",
@@ -21887,8 +22069,8 @@
         }
       ],
       "dependencies": {
-        "escalade": "^3.1.1",
-        "picocolors": "^1.0.0"
+        "escalade": "^3.1.2",
+        "picocolors": "^1.0.1"
       },
       "bin": {
         "update-browserslist-db": "cli.js"
@@ -21967,24 +22149,10 @@
         "url": "https://github.com/chalk/chalk?sponsor=1"
       }
     },
-    "node_modules/update-notifier/node_modules/lru-cache": {
-      "version": "6.0.0",
-      "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-6.0.0.tgz",
-      "integrity": "sha512-Jo6dJ04CmSjuznwJSS3pUeWmd/H0ffTlkXXgwZi+eq1UCmqQwCh+eLsYOYCwY991i2Fah4h1BEMCx4qThGbsiA==",
-      "dependencies": {
-        "yallist": "^4.0.0"
-      },
-      "engines": {
-        "node": ">=10"
-      }
-    },
     "node_modules/update-notifier/node_modules/semver": {
-      "version": "7.5.4",
-      "resolved": "https://registry.npmjs.org/semver/-/semver-7.5.4.tgz",
-      "integrity": "sha512-1bCSESV6Pv+i21Hvpxp3Dx+pSD8lIPt8uVjRrxAUt/nbswYc+tK6Y2btiULjd4+fnq15PX+nqQDC7Oft7WkwcA==",
-      "dependencies": {
-        "lru-cache": "^6.0.0"
-      },
+      "version": "7.6.2",
+      "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.2.tgz",
+      "integrity": "sha512-FNAIBWCx9qcRhoHcgcJ0gvU7SN1lYU2ZXuSfl04bSC5OpvDHFyJCjdNHomPXxjQlCBU67YW64PzY7/VIEH7F2w==",
       "bin": {
         "semver": "bin/semver.js"
       },
@@ -21992,11 +22160,6 @@
         "node": ">=10"
       }
     },
-    "node_modules/update-notifier/node_modules/yallist": {
-      "version": "4.0.0",
-      "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz",
-      "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A=="
-    },
     "node_modules/uri-js": {
       "version": "4.4.1",
       "resolved": "https://registry.npmjs.org/uri-js/-/uri-js-4.4.1.tgz",
@@ -22135,9 +22298,9 @@
       "integrity": "sha512-Z0DbgELS9/L/75wZbro8xAnT50pBVFQZ+hUEueGDU5FN51YSCYM+jdxsfCiHjwNP/4LCDD0i/graKpeBnOXKRA=="
     },
     "node_modules/utility-types": {
-      "version": "3.10.0",
-      "resolved": "https://registry.npmjs.org/utility-types/-/utility-types-3.10.0.tgz",
-      "integrity": "sha512-O11mqxmi7wMKCo6HKFt5AhO4BwY3VV68YU07tgxfz8zJTIxr4BpsezN49Ffwy9j3ZpwwJp4fkRwjRzq3uWE6Rg==",
+      "version": "3.11.0",
+      "resolved": "https://registry.npmjs.org/utility-types/-/utility-types-3.11.0.tgz",
+      "integrity": "sha512-6Z7Ma2aVEWisaL6TvBCy7P8rm2LQoPv6dJ7ecIaIixHcwfbJ0x7mWdbcwlIM5IGQxPZSFYeqRCqlOOeKoJYMkw==",
       "engines": {
         "node": ">= 4"
       }
@@ -22253,9 +22416,9 @@
       "dev": true
     },
     "node_modules/watchpack": {
-      "version": "2.4.0",
-      "resolved": "https://registry.npmjs.org/watchpack/-/watchpack-2.4.0.tgz",
-      "integrity": "sha512-Lcvm7MGST/4fup+ifyKi2hjyIAwcdI4HRgtvTpIUxBRhB+RFtUh8XtDOxUfctVCnhVi+QQj49i91OyvzkJl6cg==",
+      "version": "2.4.1",
+      "resolved": "https://registry.npmjs.org/watchpack/-/watchpack-2.4.1.tgz",
+      "integrity": "sha512-8wrBCMtVhqcXP2Sup1ctSkga6uc2Bx0IIvKyT7yTFier5AXHooSI+QyQQAtTb7+E0IUCCKyTFmXqdqgum2XWGg==",
       "dependencies": {
         "glob-to-regexp": "^0.4.1",
         "graceful-fs": "^4.1.2"
@@ -22282,9 +22445,9 @@
       }
     },
     "node_modules/web-streams-polyfill": {
-      "version": "3.2.1",
-      "resolved": "https://registry.npmjs.org/web-streams-polyfill/-/web-streams-polyfill-3.2.1.tgz",
-      "integrity": "sha512-e0MO3wdXWKrLbL0DgGnUV7WHVuw9OUvL4hjgnPkIeEvESk74gAITi5G606JtZPp39cd8HA9VQzCIvA49LpPN5Q==",
+      "version": "3.3.3",
+      "resolved": "https://registry.npmjs.org/web-streams-polyfill/-/web-streams-polyfill-3.3.3.tgz",
+      "integrity": "sha512-d2JWLCivmZYTSIoge9MsgFCZrt571BikcWGYkjC1khllbTeDlGqZ2D8vD8E/lJa8WGWbb7Plm8/XJYV7IJHZZw==",
       "engines": {
         "node": ">= 8"
       }
@@ -22295,33 +22458,33 @@
       "integrity": "sha512-2JAn3z8AR6rjK8Sm8orRC0h/bcl/DqL7tRPdGZ4I1CjdF+EaMLmYxBHyXuKL849eucPFhvBoxMsflfOb8kxaeQ=="
     },
     "node_modules/webpack": {
-      "version": "5.89.0",
-      "resolved": "https://registry.npmjs.org/webpack/-/webpack-5.89.0.tgz",
-      "integrity": "sha512-qyfIC10pOr70V+jkmud8tMfajraGCZMBWJtrmuBymQKCrLTRejBI8STDp1MCyZu/QTdZSeacCQYpYNQVOzX5kw==",
+      "version": "5.92.0",
+      "resolved": "https://registry.npmjs.org/webpack/-/webpack-5.92.0.tgz",
+      "integrity": "sha512-Bsw2X39MYIgxouNATyVpCNVWBCuUwDgWtN78g6lSdPJRLaQ/PUVm/oXcaRAyY/sMFoKFQrsPeqvTizWtq7QPCA==",
       "dependencies": {
         "@types/eslint-scope": "^3.7.3",
-        "@types/estree": "^1.0.0",
-        "@webassemblyjs/ast": "^1.11.5",
-        "@webassemblyjs/wasm-edit": "^1.11.5",
-        "@webassemblyjs/wasm-parser": "^1.11.5",
+        "@types/estree": "^1.0.5",
+        "@webassemblyjs/ast": "^1.12.1",
+        "@webassemblyjs/wasm-edit": "^1.12.1",
+        "@webassemblyjs/wasm-parser": "^1.12.1",
         "acorn": "^8.7.1",
-        "acorn-import-assertions": "^1.9.0",
-        "browserslist": "^4.14.5",
+        "acorn-import-attributes": "^1.9.5",
+        "browserslist": "^4.21.10",
         "chrome-trace-event": "^1.0.2",
-        "enhanced-resolve": "^5.15.0",
+        "enhanced-resolve": "^5.17.0",
         "es-module-lexer": "^1.2.1",
         "eslint-scope": "5.1.1",
         "events": "^3.2.0",
         "glob-to-regexp": "^0.4.1",
-        "graceful-fs": "^4.2.9",
+        "graceful-fs": "^4.2.11",
         "json-parse-even-better-errors": "^2.3.1",
         "loader-runner": "^4.2.0",
         "mime-types": "^2.1.27",
         "neo-async": "^2.6.2",
         "schema-utils": "^3.2.0",
         "tapable": "^2.1.1",
-        "terser-webpack-plugin": "^5.3.7",
-        "watchpack": "^2.4.0",
+        "terser-webpack-plugin": "^5.3.10",
+        "watchpack": "^2.4.1",
         "webpack-sources": "^3.2.3"
       },
       "bin": {
@@ -22341,9 +22504,9 @@
       }
     },
     "node_modules/webpack-bundle-analyzer": {
-      "version": "4.10.1",
-      "resolved": "https://registry.npmjs.org/webpack-bundle-analyzer/-/webpack-bundle-analyzer-4.10.1.tgz",
-      "integrity": "sha512-s3P7pgexgT/HTUSYgxJyn28A+99mmLq4HsJepMPzu0R8ImJc52QNqaFYW1Z2z2uIb1/J3eYgaAWVpaC+v/1aAQ==",
+      "version": "4.10.2",
+      "resolved": "https://registry.npmjs.org/webpack-bundle-analyzer/-/webpack-bundle-analyzer-4.10.2.tgz",
+      "integrity": "sha512-vJptkMm9pk5si4Bv922ZbKLV8UTT4zib4FPgXMhgzUny0bfDDkLXAVQs3ly3fS4/TN9ROFtb0NFrm04UXFE/Vw==",
       "dependencies": {
         "@discoveryjs/json-ext": "0.5.7",
         "acorn": "^8.0.4",
@@ -22353,7 +22516,6 @@
         "escape-string-regexp": "^4.0.0",
         "gzip-size": "^6.0.0",
         "html-escaper": "^2.0.2",
-        "is-plain-object": "^5.0.0",
         "opener": "^1.5.2",
         "picocolors": "^1.0.0",
         "sirv": "^2.0.3",
@@ -22375,9 +22537,9 @@
       }
     },
     "node_modules/webpack-dev-middleware": {
-      "version": "5.3.3",
-      "resolved": "https://registry.npmjs.org/webpack-dev-middleware/-/webpack-dev-middleware-5.3.3.tgz",
-      "integrity": "sha512-hj5CYrY0bZLB+eTO+x/j67Pkrquiy7kWepMHmUMoPsmcUaeEnQJqFzHJOyxgWlq746/wUuA64p9ta34Kyb01pA==",
+      "version": "5.3.4",
+      "resolved": "https://registry.npmjs.org/webpack-dev-middleware/-/webpack-dev-middleware-5.3.4.tgz",
+      "integrity": "sha512-BVdTqhhs+0IfoeAf7EoH5WE+exCmqGerHfDM0IL096Px60Tq2Mn9MAbnaGUe6HiMa41KMCYF19gyzZmBcq/o4Q==",
       "dependencies": {
         "colorette": "^2.0.10",
         "memfs": "^3.4.3",
@@ -22424,9 +22586,9 @@
       }
     },
     "node_modules/webpack-dev-server": {
-      "version": "4.15.1",
-      "resolved": "https://registry.npmjs.org/webpack-dev-server/-/webpack-dev-server-4.15.1.tgz",
-      "integrity": "sha512-5hbAst3h3C3L8w6W4P96L5vaV0PxSmJhxZvWKYIdgxOQm8pNZ5dEOmmSLBVpP85ReeyRt6AS1QJNyo/oFFPeVA==",
+      "version": "4.15.2",
+      "resolved": "https://registry.npmjs.org/webpack-dev-server/-/webpack-dev-server-4.15.2.tgz",
+      "integrity": "sha512-0XavAZbNJ5sDrCbkpWL8mia0o5WPOd2YGtxrEiZkBK9FjLppIUK2TgxK6qGD2P3hUXTJNNPVibrerKcx5WkR1g==",
       "dependencies": {
         "@types/bonjour": "^3.5.9",
         "@types/connect-history-api-fallback": "^1.3.5",
@@ -22456,7 +22618,7 @@
         "serve-index": "^1.9.1",
         "sockjs": "^0.3.24",
         "spdy": "^4.0.2",
-        "webpack-dev-middleware": "^5.3.1",
+        "webpack-dev-middleware": "^5.3.4",
         "ws": "^8.13.0"
       },
       "bin": {
@@ -22482,9 +22644,9 @@
       }
     },
     "node_modules/webpack-dev-server/node_modules/ws": {
-      "version": "8.16.0",
-      "resolved": "https://registry.npmjs.org/ws/-/ws-8.16.0.tgz",
-      "integrity": "sha512-HS0c//TP7Ina87TfiPUz1rQzMhHrl/SG2guqRcTOIUYD2q8uhUdNHZYJUaQ8aTGPzCh+c6oawMKW35nFl1dxyQ==",
+      "version": "8.17.1",
+      "resolved": "https://registry.npmjs.org/ws/-/ws-8.17.1.tgz",
+      "integrity": "sha512-6XQFvXTkbfUOZOKKILFG1PDK2NDQs4azKQl26T0YS5CxqWLgXajbPZ+h4gZekJyRqFU8pvnbAbbs/3TgRPy+GQ==",
       "engines": {
         "node": ">=10.0.0"
       },
@@ -22712,16 +22874,16 @@
       }
     },
     "node_modules/which-typed-array": {
-      "version": "1.1.13",
-      "resolved": "https://registry.npmjs.org/which-typed-array/-/which-typed-array-1.1.13.tgz",
-      "integrity": "sha512-P5Nra0qjSncduVPEAr7xhoF5guty49ArDTwzJ/yNuPIbZppyRxFQsRCWrocxIY+CnMVG+qfbU2FmDKyvSGClow==",
+      "version": "1.1.15",
+      "resolved": "https://registry.npmjs.org/which-typed-array/-/which-typed-array-1.1.15.tgz",
+      "integrity": "sha512-oV0jmFtUky6CXfkqehVvBP/LSWJ2sy4vWMioiENyJLePrBO/yKyV9OyJySfAKosh+RYkIl5zJCNZ8/4JncrpdA==",
       "dev": true,
       "dependencies": {
-        "available-typed-arrays": "^1.0.5",
-        "call-bind": "^1.0.4",
+        "available-typed-arrays": "^1.0.7",
+        "call-bind": "^1.0.7",
         "for-each": "^0.3.3",
         "gopd": "^1.0.1",
-        "has-tostringtag": "^1.0.0"
+        "has-tostringtag": "^1.0.2"
       },
       "engines": {
         "node": ">= 0.4"
@@ -22912,9 +23074,9 @@
       }
     },
     "node_modules/ws": {
-      "version": "7.5.9",
-      "resolved": "https://registry.npmjs.org/ws/-/ws-7.5.9.tgz",
-      "integrity": "sha512-F+P9Jil7UiSKSkppIiD94dN07AwvFixvLIj1Og1Rl9GGMuNipJnV9JzjD6XuqmAeiswGvUmNLjr5cFuXwNS77Q==",
+      "version": "7.5.10",
+      "resolved": "https://registry.npmjs.org/ws/-/ws-7.5.10.tgz",
+      "integrity": "sha512-+dbF1tHwZpXcbOJdVOkzLDxZP1ailvSxM6ZweXTegylPny803bFhA+vqBYw4s31NSAk4S2Qz+AKXK9a4wkdjcQ==",
       "engines": {
         "node": ">=8.3.0"
       },
@@ -22976,11 +23138,14 @@
       "integrity": "sha512-a4UGQaWPH59mOXUYnAG2ewncQS4i4F43Tv3JoAM+s2VDAmS9NsK8GpDMLrCHPksFT7h3K6TOoUNn2pb7RoXx4g=="
     },
     "node_modules/yaml": {
-      "version": "1.10.2",
-      "resolved": "https://registry.npmjs.org/yaml/-/yaml-1.10.2.tgz",
-      "integrity": "sha512-r3vXyErRCYJ7wg28yvBY5VSoAF8ZvlcW9/BwUzEtUsjvX/DKs24dIkuwjtuprwJJHsbyUbLApepYTR1BN4uHrg==",
+      "version": "2.4.5",
+      "resolved": "https://registry.npmjs.org/yaml/-/yaml-2.4.5.tgz",
+      "integrity": "sha512-aBx2bnqDzVOyNKfsysjA2ms5ZlnjSAW2eG3/L5G/CSujfjLJTJsEw1bGw8kCf04KodQWk1pxlGnZ56CRxiawmg==",
+      "bin": {
+        "yaml": "bin.mjs"
+      },
       "engines": {
-        "node": ">= 6"
+        "node": ">= 14"
       }
     },
     "node_modules/yargs": {
@@ -23060,4 +23225,4 @@
       }
     }
   }
-}
+}
\ No newline at end of file
diff --git a/docs/package.json b/docs/package.json
index 599243e58c5..87f3d3d7196 100644
--- a/docs/package.json
+++ b/docs/package.json
@@ -16,12 +16,12 @@
   "dependencies": {
     "@babel/preset-react": "^7.22.3",
     "@code-hike/mdx": "^0.9.0",
-    "@docusaurus/core": "3.0.1",
+    "@docusaurus/core": "^3.2.0",
     "@docusaurus/plugin-google-gtag": "^3.2.0",
-    "@docusaurus/plugin-ideal-image": "^3.0.1",
-    "@docusaurus/preset-classic": "3.0.1",
-    "@docusaurus/theme-classic": "^3.0.1",
-    "@docusaurus/theme-search-algolia": "^3.0.1",
+    "@docusaurus/plugin-ideal-image": "^3.2.0",
+    "@docusaurus/preset-classic": "^3.2.0",
+    "@docusaurus/theme-classic": "^3.2.0",
+    "@docusaurus/theme-search-algolia": "^3.2.0",
     "@mdx-js/react": "^2.3.0",
     "@mendable/search": "^0.0.154",
     "@pbe/react-yandex-maps": "^1.2.4",
@@ -48,7 +48,7 @@
     "tailwindcss": "^3.3.2"
   },
   "devDependencies": {
-    "@docusaurus/module-type-aliases": "2.4.1",
+    "@docusaurus/module-type-aliases": "^3.2.0",
     "css-loader": "^6.8.1",
     "docusaurus-node-polyfills": "^1.0.0",
     "node-sass": "^9.0.0",
diff --git a/docs/sidebars.js b/docs/sidebars.js
index e238e18608b..40f07baa0c4 100644
--- a/docs/sidebars.js
+++ b/docs/sidebars.js
@@ -1,107 +1,173 @@
 module.exports = {
   docs: [
+    {
+      type: "category",
+      label: "What's New?",
+      collapsed: false,
+      items: ["whats-new/a-new-chapter-langflow"],
+    },
     {
       type: "category",
       label: "Getting Started",
       collapsed: false,
       items: [
         "index",
-        "getting-started/installation",
-        "getting-started/hugging-face-spaces",
-        "getting-started/creating-flows",
+        "getting-started/install-langflow",
+        "getting-started/quickstart",
+        "getting-started/workspace",
+        "getting-started/possible-installation-issues",
+        "getting-started/new-to-llms",
       ],
     },
     {
       type: "category",
-      label: "Guidelines",
+      label: "Starter Projects",
       collapsed: false,
       items: [
-        "guidelines/login",
-        "guidelines/api",
-        "guidelines/async-api",
-        "guidelines/components",
-        "guidelines/features",
-        "guidelines/collection",
-        "guidelines/prompt-customization",
-        "guidelines/chat-interface",
-        "guidelines/chat-widget",
-        "guidelines/custom-component",
+        "starter-projects/basic-prompting",
+        "starter-projects/blog-writer",
+        "starter-projects/document-qa",
+        "starter-projects/memory-chatbot",
+        "starter-projects/vector-store-rag",
       ],
     },
     {
       type: "category",
-      label: "Component Reference",
+      label: "Administration",
       collapsed: false,
       items: [
-        "components/agents",
-        "components/chains",
-        "components/custom",
-        "components/embeddings",
-        "components/llms",
-        "components/loaders",
-        "components/memories",
-        "components/prompts",
-        "components/retrievers",
-        "components/text-splitters",
-        "components/toolkits",
-        "components/tools",
-        "components/utilities",
-        "components/vector-stores",
-        "components/wrappers",
+        "administration/api",
+        "administration/login",
+        "administration/cli",
+        "administration/playground",
+        "administration/memories",
+        "administration/logs",
+        "administration/collections-projects",
+        "administration/settings",
+        "administration/global-env",
+        "administration/chat-widget",
       ],
     },
     {
       type: "category",
-      label: "Step-by-Step Guides",
+      label: "Components",
       collapsed: false,
       items: [
-        "guides/async-tasks",
-        "guides/loading_document",
-        "guides/chatprompttemplate_guide",
-        "guides/langfuse_integration",
+        "components/inputs-and-outputs",
+        "components/text-and-record",
+        "components/data",
+        "components/models",
+        "components/helpers",
+        "components/vector-stores",
+        "components/embeddings",
+        "components/custom",
       ],
     },
+    // RSN - Check if we need this
+    // {
+    //   type: "category",
+    //   label: "Extended Components",
+    //   collapsed: true,
+    //   items: [
+    //     "components/agents",
+    //     "components/chains",
+    //     "components/experimental",
+    //     "components/utilities",
+    //     "components/model_specs",
+    //     "components/retrievers",
+    //     "components/text-splitters",
+    //     "components/toolkits",
+    //     "components/tools",
+    //   ],
+    // },
+    // RSN - Check if we need this
     // {
-    //   type: 'category',
-    //   label: 'Components',
+    //   type: "category",
+    //   label: "Example Components",
+    //   collapsed: true,
+    //   items: [
+    //     "examples/chat-memory",
+    //     "examples/combine-text",
+    //     "examples/create-record",
+    //     "examples/pass",
+    //     "examples/store-message",
+    //     "examples/sub-flow",
+    //     "examples/text-operator",
+    //   ],
+    // },
+    // RSN - Check if we need this
+    // {
+    //   type: "category",
+    //   label: "Migration",
     //   collapsed: false,
     //   items: [
-    //     'components/agents', 'components/chains', 'components/loaders', 'components/embeddings', 'components/llms',
-    //     'components/memories', 'components/prompts','components/text-splitters', 'components/toolkits', 'components/tools',
-    //     'components/utilities', 'components/vector-stores', 'components/wrappers',
+    //     "migration/migrating-to-one-point-zero",
+    //     "migration/compatibility",
     //   ],
     // },
     {
       type: "category",
-      label: "Examples",
-      collapsed: false,
+      label: "Tutorials",
+      collapsed: true,
       items: [
-        "examples/flow-runner",
-        "examples/conversation-chain",
-        "examples/buffer-memory",
-        "examples/midjourney-prompt-chain",
-        "examples/csv-loader",
-        "examples/searchapi-tool",
-        "examples/serp-api-tool",
-        "examples/multiple-vectorstores",
-        "examples/python-function",
-        "examples/how-upload-examples",
+        "tutorials/chatprompttemplate_guide",
+        "tutorials/custom_components",
+        "tutorials/loading_document",
+        "tutorials/rag-with-astradb",
       ],
     },
     {
       type: "category",
       label: "Deployment",
-      collapsed: false,
-      items: ["deployment/gcp-deployment"],
+      collapsed: true,
+      items: [
+        "deployment/docker",
+        "deployment/backend-only",
+        "deployment/kubernetes",
+        "deployment/gcp-deployment",
+      ],
     },
     {
       type: "category",
       label: "Contributing",
       collapsed: false,
       items: [
+        "contributing/telemetry",
         "contributing/how-contribute",
         "contributing/github-issues",
         "contributing/community",
+        "contributing/contribute-component",
+      ],
+    },
+    {
+      type: "category",
+      label: "Integrations",
+      collapsed: false,
+      items: [
+        "integrations/langsmith/intro",
+        {
+          type: "category",
+          label: "Notion",
+          items: [
+            "integrations/notion/intro",
+            "integrations/notion/setup",
+            "integrations/notion/search",
+            "integrations/notion/list-database-properties",
+            "integrations/notion/list-pages",
+            "integrations/notion/list-users",
+            "integrations/notion/page-create",
+            "integrations/notion/add-content-to-page",
+            "integrations/notion/page-update",
+            "integrations/notion/page-content-viewer",
+          ],
+        },
+        // {
+        //   type: "category",
+        //   label: "LangSmith",
+        //   items: [
+        //     ,
+        //   ],
+        // },
       ],
     },
   ],
diff --git a/docs/src/css/custom.css b/docs/src/css/custom.css
index b79c4df59a9..ee396270326 100644
--- a/docs/src/css/custom.css
+++ b/docs/src/css/custom.css
@@ -118,7 +118,16 @@ body {
   width: 24px;
   height: 24px;
   display: flex;
-  background: url("data:image/svg+xml,%3Csvg viewBox='0 0 24 24' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath d='M12 .297c-6.63 0-12 5.373-12 12 0 5.303 3.438 9.8 8.205 11.385.6.113.82-.258.82-.577 0-.285-.01-1.04-.015-2.04-3.338.724-4.042-1.61-4.042-1.61C4.422 18.07 3.633 17.7 3.633 17.7c-1.087-.744.084-.729.084-.729 1.205.084 1.838 1.236 1.838 1.236 1.07 1.835 2.809 1.305 3.495.998.108-.776.417-1.305.76-1.605-2.665-.3-5.466-1.332-5.466-5.93 0-1.31.465-2.38 1.235-3.22-.135-.303-.54-1.523.105-3.176 0 0 1.005-.322 3.3 1.23.96-.267 1.98-.399 3-.405 1.02.006 2.04.138 3 .405 2.28-1.552 3.285-1.23 3.285-1.23.645 1.653.24 2.873.12 3.176.765.84 1.23 1.91 1.23 3.22 0 4.61-2.805 5.625-5.475 5.92.42.36.81 1.096.81 2.22 0 1.606-.015 2.896-.015 3.286 0 .315.21.69.825.57C20.565 22.092 24 17.592 24 12.297c0-6.627-5.373-12-12-12'/%3E%3C/svg%3E")
+  background: url("/logos/gitLight.svg")
+    no-repeat;
+}
+
+[data-theme='dark'] .header-github-link:before {
+  content: "";
+  width: 24px;
+  height: 24px;
+  display: flex;
+  background: url("/logos/gitDark.svg")
     no-repeat;
 }
 
@@ -132,21 +141,44 @@ body {
   width: 24px;
   height: 24px;
   display: flex;
-  background: url("/logos/twitter.svg");
+  background: url("/logos/xLight.svg");
+  background-size: contain;
+}
+
+[data-theme='dark'] .header-twitter-link::before {
+  content: "";
+  width: 24px;
+  height: 24px;
+  display: flex;
+  background: url("/logos/xDark.svg");
   background-size: contain;
 }
 
 /* Discord */
+
+.header-discord-link {
+  margin-right: 0.5rem;
+}
+
 .header-discord-link:hover {
   opacity: 0.6;
 }
 
+[data-theme='dark'] .header-discord-link::before {
+  content: "";
+  width: 24px;
+  height: 24px;
+  display: flex;
+  background: url("/logos/discordDark.svg");
+  background-size: contain;
+}
+
 .header-discord-link::before {
   content: "";
   width: 24px;
   height: 24px;
   display: flex;
-  background: url("/logos/discord.svg");
+  background: url("/logos/discordLight.svg");
   background-size: contain;
 }
 
diff --git a/docs/src/theme/DownloadableJsonFile.js b/docs/src/theme/DownloadableJsonFile.js
new file mode 100644
index 00000000000..7b5466eacaf
--- /dev/null
+++ b/docs/src/theme/DownloadableJsonFile.js
@@ -0,0 +1,29 @@
+const DownloadableJsonFile = ({ source, title }) => {
+  const handleDownload = (event) => {
+    event.preventDefault();
+    fetch(source)
+      .then((response) => response.blob())
+      .then((blob) => {
+        const url = window.URL.createObjectURL(
+          new Blob([blob], { type: "application/json" })
+        );
+        const link = document.createElement("a");
+        link.href = url;
+        link.setAttribute("download", title);
+        document.body.appendChild(link);
+        link.click();
+        link.parentNode.removeChild(link);
+      })
+      .catch((error) => {
+        console.error("Error downloading file:", error);
+      });
+  };
+
+  return (
+    <a href={source} download={title} onClick={handleDownload}>
+      {title}
+    </a>
+  );
+};
+
+export default DownloadableJsonFile;
diff --git a/docs/static/data/AstraDB-RAG-Flows.json b/docs/static/data/AstraDB-RAG-Flows.json
new file mode 100644
index 00000000000..88c4a22a07f
--- /dev/null
+++ b/docs/static/data/AstraDB-RAG-Flows.json
@@ -0,0 +1,3142 @@
+{
+  "id": "152a031a-a41a-4df1-a161-19800f686776",
+  "data": {
+    "nodes": [
+      {
+        "data": {
+          "description": "Get chat inputs from the Playground.",
+          "display_name": "Chat Input",
+          "edited": false,
+          "id": "ChatInput-8ZRjI",
+          "node": {
+            "base_classes": [
+              "Message"
+            ],
+            "beta": false,
+            "conditional_paths": [],
+            "custom_fields": {},
+            "description": "Get chat inputs from the Playground.",
+            "display_name": "Chat Input",
+            "documentation": "",
+            "edited": true,
+            "field_order": [
+              "input_value",
+              "sender",
+              "sender_name",
+              "session_id",
+              "files"
+            ],
+            "frozen": false,
+            "icon": "ChatInput",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Message",
+                "hidden": false,
+                "method": "message_response",
+                "name": "message",
+                "selected": "Message",
+                "types": [
+                  "Message"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "pinned": false,
+            "template": {
+              "_type": "Component",
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.io import DropdownInput, FileInput, MessageTextInput, MultilineInput, Output\nfrom langflow.schema.message import Message\n\n\nclass ChatInput(ChatComponent):\n    display_name = \"Chat Input\"\n    description = \"Get chat inputs from the Playground.\"\n    icon = \"ChatInput\"\n\n    inputs = [\n        MultilineInput(\n            name=\"input_value\",\n            display_name=\"Text\",\n            value=\"\",\n            info=\"Message to be passed as input.\",\n        ),\n        DropdownInput(\n            name=\"sender\",\n            display_name=\"Sender Type\",\n            options=[\"Machine\", \"User\"],\n            value=\"User\",\n            info=\"Type of sender.\",\n            advanced=True,\n        ),\n        MessageTextInput(\n            name=\"sender_name\",\n            display_name=\"Sender Name\",\n            info=\"Name of the sender.\",\n            value=\"User\",\n            advanced=True,\n        ),\n        MessageTextInput(\n            name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n        ),\n        FileInput(\n            name=\"files\",\n            display_name=\"Files\",\n            file_types=TEXT_FILE_TYPES + IMG_FILE_TYPES,\n            info=\"Files to be sent with the message.\",\n            advanced=True,\n            is_list=True,\n        ),\n    ]\n    outputs = [\n        Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n    ]\n\n    def message_response(self) -> Message:\n        message = Message(\n            text=self.input_value,\n            sender=self.sender,\n            sender_name=self.sender_name,\n            session_id=self.session_id,\n            files=self.files,\n        )\n        if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n            self.store_message(message)\n            self.message.value = message\n\n        self.status = message\n        return message\n"
+              },
+              "files": {
+                "advanced": true,
+                "display_name": "Files",
+                "dynamic": false,
+                "fileTypes": [
+                  "txt",
+                  "md",
+                  "mdx",
+                  "csv",
+                  "json",
+                  "yaml",
+                  "yml",
+                  "xml",
+                  "html",
+                  "htm",
+                  "pdf",
+                  "docx",
+                  "py",
+                  "sh",
+                  "sql",
+                  "js",
+                  "ts",
+                  "tsx",
+                  "jpg",
+                  "jpeg",
+                  "png",
+                  "bmp",
+                  "image"
+                ],
+                "file_path": "",
+                "info": "Files to be sent with the message.",
+                "list": true,
+                "name": "files",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_metadata": true,
+                "type": "file",
+                "value": ""
+              },
+              "input_value": {
+                "advanced": false,
+                "display_name": "Text",
+                "dynamic": false,
+                "info": "Message to be passed as input.",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "input_value",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": ""
+              },
+              "sender": {
+                "advanced": true,
+                "display_name": "Sender Type",
+                "dynamic": false,
+                "info": "Type of sender.",
+                "name": "sender",
+                "options": [
+                  "Machine",
+                  "User"
+                ],
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": "User"
+              },
+              "sender_name": {
+                "advanced": true,
+                "display_name": "Sender Name",
+                "dynamic": false,
+                "info": "Name of the sender.",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "sender_name",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": "User"
+              },
+              "session_id": {
+                "advanced": true,
+                "display_name": "Session ID",
+                "dynamic": false,
+                "info": "Session ID for the message.",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "session_id",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": ""
+              }
+            }
+          },
+          "type": "ChatInput"
+        },
+        "dragging": false,
+        "height": 309,
+        "id": "ChatInput-8ZRjI",
+        "position": {
+          "x": 682.002772470747,
+          "y": 253.67030039648512
+        },
+        "positionAbsolute": {
+          "x": 682.002772470747,
+          "y": 253.67030039648512
+        },
+        "selected": false,
+        "type": "genericNode",
+        "width": 384
+      },
+      {
+        "data": {
+          "id": "OpenAIEmbeddings-hNOwh",
+          "node": {
+            "base_classes": [
+              "Embeddings"
+            ],
+            "beta": false,
+            "custom_fields": {
+              "allowed_special": null,
+              "chunk_size": null,
+              "client": null,
+              "default_headers": null,
+              "default_query": null,
+              "deployment": null,
+              "disallowed_special": null,
+              "embedding_ctx_length": null,
+              "max_retries": null,
+              "model": null,
+              "model_kwargs": null,
+              "openai_api_base": null,
+              "openai_api_key": null,
+              "openai_api_type": null,
+              "openai_api_version": null,
+              "openai_organization": null,
+              "openai_proxy": null,
+              "request_timeout": null,
+              "show_progress_bar": null,
+              "skip_empty": null,
+              "tiktoken_enable": null,
+              "tiktoken_model_name": null
+            },
+            "description": "Generate embeddings using OpenAI models.",
+            "display_name": "OpenAI Embeddings",
+            "documentation": "",
+            "field_formatters": {},
+            "field_order": [],
+            "frozen": false,
+            "icon": "OpenAI",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Embeddings",
+                "hidden": false,
+                "method": "build_embeddings",
+                "name": "embeddings",
+                "selected": "Embeddings",
+                "types": [
+                  "Embeddings"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "template": {
+              "_type": "Component",
+              "chunk_size": {
+                "advanced": true,
+                "display_name": "Chunk Size",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "chunk_size",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": 1000
+              },
+              "client": {
+                "advanced": true,
+                "display_name": "Client",
+                "dynamic": false,
+                "info": "",
+                "input_types": [
+                  "Message",
+                  "str"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "client",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "from langchain_openai.embeddings.base import OpenAIEmbeddings\n\nfrom langflow.base.embeddings.model import LCEmbeddingsModel\nfrom langflow.field_typing import Embeddings\nfrom langflow.io import BoolInput, DictInput, DropdownInput, FloatInput, IntInput, SecretStrInput, MessageTextInput\n\n\nclass OpenAIEmbeddingsComponent(LCEmbeddingsModel):\n    display_name = \"OpenAI Embeddings\"\n    description = \"Generate embeddings using OpenAI models.\"\n    icon = \"OpenAI\"\n    inputs = [\n        DictInput(\n            name=\"default_headers\",\n            display_name=\"Default Headers\",\n            advanced=True,\n            info=\"Default headers to use for the API request.\",\n        ),\n        DictInput(\n            name=\"default_query\",\n            display_name=\"Default Query\",\n            advanced=True,\n            info=\"Default query parameters to use for the API request.\",\n        ),\n        IntInput(name=\"chunk_size\", display_name=\"Chunk Size\", advanced=True, value=1000),\n        MessageTextInput(name=\"client\", display_name=\"Client\", advanced=True),\n        MessageTextInput(name=\"deployment\", display_name=\"Deployment\", advanced=True),\n        IntInput(name=\"embedding_ctx_length\", display_name=\"Embedding Context Length\", advanced=True, value=1536),\n        IntInput(name=\"max_retries\", display_name=\"Max Retries\", value=3, advanced=True),\n        DropdownInput(\n            name=\"model\",\n            display_name=\"Model\",\n            advanced=False,\n            options=[\n                \"text-embedding-3-small\",\n                \"text-embedding-3-large\",\n                \"text-embedding-ada-002\",\n            ],\n            value=\"text-embedding-3-small\",\n        ),\n        DictInput(name=\"model_kwargs\", display_name=\"Model Kwargs\", advanced=True),\n        SecretStrInput(name=\"openai_api_base\", display_name=\"OpenAI API Base\", advanced=True),\n        SecretStrInput(name=\"openai_api_key\", display_name=\"OpenAI API Key\"),\n        SecretStrInput(name=\"openai_api_type\", display_name=\"OpenAI API Type\", advanced=True),\n        MessageTextInput(name=\"openai_api_version\", display_name=\"OpenAI API Version\", advanced=True),\n        MessageTextInput(\n            name=\"openai_organization\",\n            display_name=\"OpenAI Organization\",\n            advanced=True,\n        ),\n        MessageTextInput(name=\"openai_proxy\", display_name=\"OpenAI Proxy\", advanced=True),\n        FloatInput(name=\"request_timeout\", display_name=\"Request Timeout\", advanced=True),\n        BoolInput(name=\"show_progress_bar\", display_name=\"Show Progress Bar\", advanced=True),\n        BoolInput(name=\"skip_empty\", display_name=\"Skip Empty\", advanced=True),\n        MessageTextInput(\n            name=\"tiktoken_model_name\",\n            display_name=\"TikToken Model Name\",\n            advanced=True,\n        ),\n        BoolInput(\n            name=\"tiktoken_enable\",\n            display_name=\"TikToken Enable\",\n            advanced=True,\n            value=True,\n            info=\"If False, you must have transformers installed.\",\n        ),\n    ]\n\n    def build_embeddings(self) -> Embeddings:\n        return OpenAIEmbeddings(\n            tiktoken_enabled=self.tiktoken_enable,\n            default_headers=self.default_headers,\n            default_query=self.default_query,\n            allowed_special=\"all\",\n            disallowed_special=\"all\",\n            chunk_size=self.chunk_size,\n            deployment=self.deployment,\n            embedding_ctx_length=self.embedding_ctx_length,\n            max_retries=self.max_retries,\n            model=self.model,\n            model_kwargs=self.model_kwargs,\n            base_url=self.openai_api_base,\n            api_key=self.openai_api_key,\n            openai_api_type=self.openai_api_type,\n            api_version=self.openai_api_version,\n            organization=self.openai_organization,\n            openai_proxy=self.openai_proxy,\n            timeout=self.request_timeout or None,\n            show_progress_bar=self.show_progress_bar,\n            skip_empty=self.skip_empty,\n            tiktoken_model_name=self.tiktoken_model_name,\n        )\n"
+              },
+              "default_headers": {
+                "advanced": true,
+                "display_name": "Default Headers",
+                "dynamic": false,
+                "info": "Default headers to use for the API request.",
+                "list": false,
+                "name": "default_headers",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "dict",
+                "value": {}
+              },
+              "default_query": {
+                "advanced": true,
+                "display_name": "Default Query",
+                "dynamic": false,
+                "info": "Default query parameters to use for the API request.",
+                "list": false,
+                "name": "default_query",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "dict",
+                "value": {}
+              },
+              "deployment": {
+                "advanced": true,
+                "display_name": "Deployment",
+                "dynamic": false,
+                "info": "",
+                "input_types": [
+                  "Message",
+                  "str"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "deployment",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "embedding_ctx_length": {
+                "advanced": true,
+                "display_name": "Embedding Context Length",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "embedding_ctx_length",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": 1536
+              },
+              "max_retries": {
+                "advanced": true,
+                "display_name": "Max Retries",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "max_retries",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": 3
+              },
+              "model": {
+                "advanced": false,
+                "display_name": "Model",
+                "dynamic": false,
+                "info": "",
+                "name": "model",
+                "options": [
+                  "text-embedding-3-small",
+                  "text-embedding-3-large",
+                  "text-embedding-ada-002"
+                ],
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "text-embedding-3-small"
+              },
+              "model_kwargs": {
+                "advanced": true,
+                "display_name": "Model Kwargs",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "model_kwargs",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "dict",
+                "value": {}
+              },
+              "openai_api_base": {
+                "advanced": true,
+                "display_name": "OpenAI API Base",
+                "dynamic": false,
+                "info": "",
+                "input_types": [],
+                "load_from_db": true,
+                "name": "openai_api_base",
+                "password": true,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "openai_api_key": {
+                "advanced": false,
+                "display_name": "OpenAI API Key",
+                "dynamic": false,
+                "info": "",
+                "input_types": [],
+                "load_from_db": false,
+                "name": "openai_api_key",
+                "password": true,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "openai_api_type": {
+                "advanced": true,
+                "display_name": "OpenAI API Type",
+                "dynamic": false,
+                "info": "",
+                "input_types": [],
+                "load_from_db": true,
+                "name": "openai_api_type",
+                "password": true,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "openai_api_version": {
+                "advanced": true,
+                "display_name": "OpenAI API Version",
+                "dynamic": false,
+                "info": "",
+                "input_types": [
+                  "Message",
+                  "str"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "openai_api_version",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "openai_organization": {
+                "advanced": true,
+                "display_name": "OpenAI Organization",
+                "dynamic": false,
+                "info": "",
+                "input_types": [
+                  "Message",
+                  "str"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "openai_organization",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "openai_proxy": {
+                "advanced": true,
+                "display_name": "OpenAI Proxy",
+                "dynamic": false,
+                "info": "",
+                "input_types": [
+                  "Message",
+                  "str"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "openai_proxy",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "request_timeout": {
+                "advanced": true,
+                "display_name": "Request Timeout",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "request_timeout",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "float",
+                "value": ""
+              },
+              "show_progress_bar": {
+                "advanced": true,
+                "display_name": "Show Progress Bar",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "show_progress_bar",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "bool",
+                "value": false
+              },
+              "skip_empty": {
+                "advanced": true,
+                "display_name": "Skip Empty",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "skip_empty",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "bool",
+                "value": false
+              },
+              "tiktoken_enable": {
+                "advanced": true,
+                "display_name": "TikToken Enable",
+                "dynamic": false,
+                "info": "If False, you must have transformers installed.",
+                "list": false,
+                "name": "tiktoken_enable",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "bool",
+                "value": true
+              },
+              "tiktoken_model_name": {
+                "advanced": true,
+                "display_name": "TikToken Model Name",
+                "dynamic": false,
+                "info": "",
+                "input_types": [
+                  "Message",
+                  "str"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "tiktoken_model_name",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              }
+            }
+          },
+          "type": "OpenAIEmbeddings"
+        },
+        "dragging": false,
+        "height": 393,
+        "id": "OpenAIEmbeddings-hNOwh",
+        "position": {
+          "x": 672.1192980997866,
+          "y": 786.6985113716086
+        },
+        "positionAbsolute": {
+          "x": 672.1192980997866,
+          "y": 786.6985113716086
+        },
+        "selected": false,
+        "type": "genericNode",
+        "width": 384
+      },
+      {
+        "data": {
+          "description": "Generates text using OpenAI LLMs.",
+          "display_name": "OpenAI",
+          "edited": false,
+          "id": "OpenAIModel-euVNy",
+          "node": {
+            "base_classes": [
+              "LanguageModel",
+              "Message"
+            ],
+            "beta": false,
+            "conditional_paths": [],
+            "custom_fields": {},
+            "description": "Generates text using OpenAI LLMs.",
+            "display_name": "OpenAI",
+            "documentation": "",
+            "edited": true,
+            "field_order": [
+              "input_value",
+              "max_tokens",
+              "model_kwargs",
+              "output_schema",
+              "model_name",
+              "openai_api_base",
+              "openai_api_key",
+              "temperature",
+              "stream",
+              "system_message",
+              "seed"
+            ],
+            "frozen": false,
+            "icon": "OpenAI",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Text",
+                "hidden": false,
+                "method": "text_response",
+                "name": "text_output",
+                "selected": "Message",
+                "types": [
+                  "Message"
+                ],
+                "value": "__UNDEFINED__"
+              },
+              {
+                "cache": true,
+                "display_name": "Language Model",
+                "method": "build_model",
+                "name": "model_output",
+                "selected": "LanguageModel",
+                "types": [
+                  "LanguageModel"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "pinned": false,
+            "template": {
+              "_type": "Component",
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "import operator\nfrom functools import reduce\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import LanguageModel\nfrom langflow.inputs import (\n    BoolInput,\n    DictInput,\n    DropdownInput,\n    FloatInput,\n    IntInput,\n    MessageInput,\n    SecretStrInput,\n    StrInput,\n)\n\n\nclass OpenAIModelComponent(LCModelComponent):\n    display_name = \"OpenAI\"\n    description = \"Generates text using OpenAI LLMs.\"\n    icon = \"OpenAI\"\n\n    inputs = [\n        MessageInput(name=\"input_value\", display_name=\"Input\"),\n        IntInput(\n            name=\"max_tokens\",\n            display_name=\"Max Tokens\",\n            advanced=True,\n            info=\"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n        ),\n        DictInput(name=\"model_kwargs\", display_name=\"Model Kwargs\", advanced=True),\n        DictInput(\n            name=\"output_schema\",\n            is_list=True,\n            display_name=\"Schema\",\n            advanced=True,\n            info=\"The schema for the Output of the model. You must pass the word JSON in the prompt. If left blank, JSON mode will be disabled.\",\n        ),\n        DropdownInput(\n            name=\"model_name\", display_name=\"Model Name\", advanced=False, options=MODEL_NAMES, value=MODEL_NAMES[0]\n        ),\n        StrInput(\n            name=\"openai_api_base\",\n            display_name=\"OpenAI API Base\",\n            advanced=True,\n            info=\"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1. You can change this to use other APIs like JinaChat, LocalAI and Prem.\",\n        ),\n        SecretStrInput(\n            name=\"openai_api_key\",\n            display_name=\"OpenAI API Key\",\n            info=\"The OpenAI API Key to use for the OpenAI model.\",\n            advanced=False,\n            value=\"OPENAI_API_KEY\",\n        ),\n        FloatInput(name=\"temperature\", display_name=\"Temperature\", value=0.1),\n        BoolInput(name=\"stream\", display_name=\"Stream\", info=STREAM_INFO_TEXT, advanced=True),\n        StrInput(\n            name=\"system_message\",\n            display_name=\"System Message\",\n            info=\"System message to pass to the model.\",\n            advanced=True,\n        ),\n        IntInput(\n            name=\"seed\",\n            display_name=\"Seed\",\n            info=\"The seed controls the reproducibility of the job.\",\n            advanced=True,\n            value=1,\n        ),\n    ]\n\n    def build_model(self) -> LanguageModel:\n        # self.output_schea is a list of dictionaries\n        # let's convert it to a dictionary\n        output_schema_dict: dict[str, str] = reduce(operator.ior, self.output_schema or {}, {})\n        openai_api_key = self.openai_api_key\n        temperature = self.temperature\n        model_name: str = self.model_name\n        max_tokens = self.max_tokens\n        model_kwargs = self.model_kwargs or {}\n        openai_api_base = self.openai_api_base or \"https://api.openai.com/v1\"\n        json_mode = bool(output_schema_dict)\n        seed = self.seed\n        model_kwargs[\"seed\"] = seed\n\n        if openai_api_key:\n            api_key = SecretStr(openai_api_key)\n        else:\n            api_key = None\n        output = ChatOpenAI(\n            max_tokens=max_tokens or None,\n            model_kwargs=model_kwargs,\n            model=model_name,\n            base_url=openai_api_base,\n            api_key=api_key,\n            temperature=temperature or 0.1,\n        )\n        if json_mode:\n            output = output.with_structured_output(schema=output_schema_dict, method=\"json_mode\")  # type: ignore\n\n        return output\n\n    def _get_exception_message(self, e: Exception):\n        \"\"\"\n        Get a message from an OpenAI exception.\n\n        Args:\n            exception (Exception): The exception to get the message from.\n\n        Returns:\n            str: The message from the exception.\n        \"\"\"\n\n        try:\n            from openai import BadRequestError\n        except ImportError:\n            return\n        if isinstance(e, BadRequestError):\n            message = e.body.get(\"message\")  # type: ignore\n            if message:\n                return message\n        return\n"
+              },
+              "input_value": {
+                "advanced": false,
+                "display_name": "Input",
+                "dynamic": false,
+                "info": "",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "input_value",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "max_tokens": {
+                "advanced": true,
+                "display_name": "Max Tokens",
+                "dynamic": false,
+                "info": "The maximum number of tokens to generate. Set to 0 for unlimited tokens.",
+                "list": false,
+                "name": "max_tokens",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": ""
+              },
+              "model_kwargs": {
+                "advanced": true,
+                "display_name": "Model Kwargs",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "model_kwargs",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "dict",
+                "value": {}
+              },
+              "model_name": {
+                "advanced": false,
+                "display_name": "Model Name",
+                "dynamic": false,
+                "info": "",
+                "name": "model_name",
+                "options": [
+                  "gpt-4o",
+                  "gpt-4-turbo",
+                  "gpt-4-turbo-preview",
+                  "gpt-3.5-turbo",
+                  "gpt-3.5-turbo-0125"
+                ],
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "gpt-4-turbo"
+              },
+              "openai_api_base": {
+                "advanced": true,
+                "display_name": "OpenAI API Base",
+                "dynamic": false,
+                "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1. You can change this to use other APIs like JinaChat, LocalAI and Prem.",
+                "list": false,
+                "load_from_db": false,
+                "name": "openai_api_base",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "openai_api_key": {
+                "advanced": false,
+                "display_name": "OpenAI API Key",
+                "dynamic": false,
+                "info": "The OpenAI API Key to use for the OpenAI model.",
+                "input_types": [],
+                "load_from_db": false,
+                "name": "openai_api_key",
+                "password": true,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "output_schema": {
+                "advanced": true,
+                "display_name": "Schema",
+                "dynamic": false,
+                "info": "The schema for the Output of the model. You must pass the word JSON in the prompt. If left blank, JSON mode will be disabled.",
+                "list": true,
+                "name": "output_schema",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "dict",
+                "value": {}
+              },
+              "seed": {
+                "advanced": true,
+                "display_name": "Seed",
+                "dynamic": false,
+                "info": "The seed controls the reproducibility of the job.",
+                "list": false,
+                "name": "seed",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": 1
+              },
+              "stream": {
+                "advanced": true,
+                "display_name": "Stream",
+                "dynamic": false,
+                "info": "Stream the response from the model. Streaming works only in Chat.",
+                "list": false,
+                "name": "stream",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "bool",
+                "value": false
+              },
+              "system_message": {
+                "advanced": true,
+                "display_name": "System Message",
+                "dynamic": false,
+                "info": "System message to pass to the model.",
+                "list": false,
+                "load_from_db": false,
+                "name": "system_message",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "temperature": {
+                "advanced": false,
+                "display_name": "Temperature",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "temperature",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "float",
+                "value": 0.1
+              }
+            }
+          },
+          "type": "OpenAIModel"
+        },
+        "dragging": false,
+        "height": 623,
+        "id": "OpenAIModel-euVNy",
+        "position": {
+          "x": 3243.967394111999,
+          "y": 392.861541437184
+        },
+        "positionAbsolute": {
+          "x": 3243.967394111999,
+          "y": 392.861541437184
+        },
+        "selected": false,
+        "type": "genericNode",
+        "width": 384
+      },
+      {
+        "data": {
+          "description": "Display a chat message in the Playground.",
+          "display_name": "Chat Output",
+          "edited": false,
+          "id": "ChatOutput-1eddV",
+          "node": {
+            "base_classes": [
+              "Message"
+            ],
+            "beta": false,
+            "conditional_paths": [],
+            "custom_fields": {},
+            "description": "Display a chat message in the Playground.",
+            "display_name": "Chat Output",
+            "documentation": "",
+            "edited": true,
+            "field_order": [
+              "input_value",
+              "sender",
+              "sender_name",
+              "session_id",
+              "data_template"
+            ],
+            "frozen": false,
+            "icon": "ChatOutput",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Message",
+                "method": "message_response",
+                "name": "message",
+                "selected": "Message",
+                "types": [
+                  "Message"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "pinned": false,
+            "template": {
+              "_type": "Component",
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.schema.message import Message\n\n\nclass ChatOutput(ChatComponent):\n    display_name = \"Chat Output\"\n    description = \"Display a chat message in the Playground.\"\n    icon = \"ChatOutput\"\n\n    inputs = [\n        MessageTextInput(\n            name=\"input_value\",\n            display_name=\"Text\",\n            info=\"Message to be passed as output.\",\n        ),\n        DropdownInput(\n            name=\"sender\",\n            display_name=\"Sender Type\",\n            options=[\"Machine\", \"User\"],\n            value=\"Machine\",\n            advanced=True,\n            info=\"Type of sender.\",\n        ),\n        MessageTextInput(\n            name=\"sender_name\", display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\", advanced=True\n        ),\n        MessageTextInput(\n            name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n        ),\n        MessageTextInput(\n            name=\"data_template\",\n            display_name=\"Data Template\",\n            value=\"{text}\",\n            advanced=True,\n            info=\"Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.\",\n        ),\n    ]\n    outputs = [\n        Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n    ]\n\n    def message_response(self) -> Message:\n        message = Message(\n            text=self.input_value,\n            sender=self.sender,\n            sender_name=self.sender_name,\n            session_id=self.session_id,\n        )\n        if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n            self.store_message(message)\n            self.message.value = message\n\n        self.status = message\n        return message\n"
+              },
+              "data_template": {
+                "advanced": true,
+                "display_name": "Data Template",
+                "dynamic": false,
+                "info": "Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "data_template",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": "{text}"
+              },
+              "input_value": {
+                "advanced": false,
+                "display_name": "Text",
+                "dynamic": false,
+                "info": "Message to be passed as output.",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "input_value",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": ""
+              },
+              "sender": {
+                "advanced": true,
+                "display_name": "Sender Type",
+                "dynamic": false,
+                "info": "Type of sender.",
+                "name": "sender",
+                "options": [
+                  "Machine",
+                  "User"
+                ],
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": "Machine"
+              },
+              "sender_name": {
+                "advanced": true,
+                "display_name": "Sender Name",
+                "dynamic": false,
+                "info": "Name of the sender.",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "sender_name",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": "AI"
+              },
+              "session_id": {
+                "advanced": true,
+                "display_name": "Session ID",
+                "dynamic": false,
+                "info": "Session ID for the message.",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "session_id",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": ""
+              }
+            }
+          },
+          "type": "ChatOutput"
+        },
+        "dragging": false,
+        "height": 309,
+        "id": "ChatOutput-1eddV",
+        "position": {
+          "x": 3788.786948642587,
+          "y": 608.4077159222614
+        },
+        "positionAbsolute": {
+          "x": 3788.786948642587,
+          "y": 608.4077159222614
+        },
+        "selected": false,
+        "type": "genericNode",
+        "width": 384
+      },
+      {
+        "data": {
+          "id": "File-p2YBf",
+          "node": {
+            "base_classes": [
+              "Record"
+            ],
+            "beta": false,
+            "custom_fields": {
+              "path": null,
+              "silent_errors": null
+            },
+            "description": "A generic file loader.",
+            "display_name": "File",
+            "documentation": "",
+            "field_formatters": {},
+            "field_order": [],
+            "frozen": false,
+            "icon": "file-text",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Data",
+                "hidden": false,
+                "method": "load_file",
+                "name": "data",
+                "selected": "Data",
+                "types": [
+                  "Data"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "template": {
+              "_type": "Component",
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "from pathlib import Path\n\nfrom langflow.base.data.utils import TEXT_FILE_TYPES, parse_text_file_to_data\nfrom langflow.custom import Component\nfrom langflow.io import BoolInput, FileInput, Output\nfrom langflow.schema import Data\n\n\nclass FileComponent(Component):\n    display_name = \"File\"\n    description = \"A generic file loader.\"\n    icon = \"file-text\"\n\n    inputs = [\n        FileInput(\n            name=\"path\",\n            display_name=\"Path\",\n            file_types=TEXT_FILE_TYPES,\n            info=f\"Supported file types: {', '.join(TEXT_FILE_TYPES)}\",\n        ),\n        BoolInput(\n            name=\"silent_errors\",\n            display_name=\"Silent Errors\",\n            advanced=True,\n            info=\"If true, errors will not raise an exception.\",\n        ),\n    ]\n\n    outputs = [\n        Output(display_name=\"Data\", name=\"data\", method=\"load_file\"),\n    ]\n\n    def load_file(self) -> Data:\n        if not self.path:\n            raise ValueError(\"Please, upload a file to use this component.\")\n        resolved_path = self.resolve_path(self.path)\n        silent_errors = self.silent_errors\n\n        extension = Path(resolved_path).suffix[1:].lower()\n\n        if extension == \"doc\":\n            raise ValueError(\"doc files are not supported. Please save as .docx\")\n        if extension not in TEXT_FILE_TYPES:\n            raise ValueError(f\"Unsupported file type: {extension}\")\n\n        data = parse_text_file_to_data(resolved_path, silent_errors)\n        self.status = data if data else \"No data\"\n        return data or Data()\n"
+              },
+              "path": {
+                "advanced": false,
+                "display_name": "Path",
+                "dynamic": false,
+                "fileTypes": [
+                  "txt",
+                  "md",
+                  "mdx",
+                  "csv",
+                  "json",
+                  "yaml",
+                  "yml",
+                  "xml",
+                  "html",
+                  "htm",
+                  "pdf",
+                  "docx",
+                  "py",
+                  "sh",
+                  "sql",
+                  "js",
+                  "ts",
+                  "tsx"
+                ],
+                "file_path": "bba1609b-3af2-431d-a884-322cc253c69d/flatland.pdf",
+                "info": "Supported file types: txt, md, mdx, csv, json, yaml, yml, xml, html, htm, pdf, docx, py, sh, sql, js, ts, tsx",
+                "list": false,
+                "name": "path",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "file",
+                "value": ""
+              },
+              "silent_errors": {
+                "advanced": true,
+                "display_name": "Silent Errors",
+                "dynamic": false,
+                "info": "If true, errors will not raise an exception.",
+                "list": false,
+                "name": "silent_errors",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "bool",
+                "value": false
+              }
+            }
+          },
+          "type": "File"
+        },
+        "dragging": false,
+        "height": 301,
+        "id": "File-p2YBf",
+        "position": {
+          "x": 1435.8917804347734,
+          "y": 1603.546667861399
+        },
+        "positionAbsolute": {
+          "x": 1435.8917804347734,
+          "y": 1603.546667861399
+        },
+        "selected": false,
+        "type": "genericNode",
+        "width": 384
+      },
+      {
+        "data": {
+          "description": "Implementation of Vector Store using Astra DB with search capabilities",
+          "display_name": "Astra DB Vector Store",
+          "id": "AstraDB-p6135",
+          "node": {
+            "base_classes": [
+              "Data"
+            ],
+            "beta": false,
+            "conditional_paths": [],
+            "custom_fields": {},
+            "description": "Implementation of Vector Store using Astra DB with search capabilities",
+            "display_name": "Astra DB Vector Store",
+            "documentation": "https://python.langchain.com/docs/integrations/vectorstores/astradb",
+            "edited": false,
+            "field_order": [
+              "collection_name",
+              "token",
+              "api_endpoint",
+              "vector_store_inputs",
+              "embedding",
+              "namespace",
+              "metric",
+              "batch_size",
+              "bulk_insert_batch_concurrency",
+              "bulk_insert_overwrite_concurrency",
+              "bulk_delete_concurrency",
+              "setup_mode",
+              "pre_delete_collection",
+              "metadata_indexing_include",
+              "metadata_indexing_exclude",
+              "collection_indexing_policy",
+              "add_to_vector_store",
+              "search_input",
+              "search_type",
+              "number_of_results"
+            ],
+            "frozen": false,
+            "icon": "AstraDB",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Retriever",
+                "method": "build_base_retriever",
+                "name": "base_retriever",
+                "selected": "Data",
+                "types": [
+                  "Data"
+                ],
+                "value": "__UNDEFINED__"
+              },
+              {
+                "cache": true,
+                "display_name": "Search Results",
+                "hidden": false,
+                "method": "search_documents",
+                "name": "search_results",
+                "selected": "Data",
+                "types": [
+                  "Data"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "pinned": false,
+            "template": {
+              "_type": "Component",
+              "add_to_vector_store": {
+                "advanced": false,
+                "display_name": "Add to Vector Store",
+                "dynamic": false,
+                "info": "If true, the Vector Store Inputs will be added to the Vector Store.",
+                "list": false,
+                "name": "add_to_vector_store",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "bool",
+                "value": false
+              },
+              "api_endpoint": {
+                "advanced": false,
+                "display_name": "API Endpoint",
+                "dynamic": false,
+                "info": "API endpoint URL for the Astra DB service.",
+                "input_types": [],
+                "load_from_db": false,
+                "name": "api_endpoint",
+                "password": true,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "batch_size": {
+                "advanced": true,
+                "display_name": "Batch Size",
+                "dynamic": false,
+                "info": "Optional number of data to process in a single batch.",
+                "list": false,
+                "name": "batch_size",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": ""
+              },
+              "bulk_delete_concurrency": {
+                "advanced": true,
+                "display_name": "Bulk Delete Concurrency",
+                "dynamic": false,
+                "info": "Optional concurrency level for bulk delete operations.",
+                "list": false,
+                "name": "bulk_delete_concurrency",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": ""
+              },
+              "bulk_insert_batch_concurrency": {
+                "advanced": true,
+                "display_name": "Bulk Insert Batch Concurrency",
+                "dynamic": false,
+                "info": "Optional concurrency level for bulk insert operations.",
+                "list": false,
+                "name": "bulk_insert_batch_concurrency",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": ""
+              },
+              "bulk_insert_overwrite_concurrency": {
+                "advanced": true,
+                "display_name": "Bulk Insert Overwrite Concurrency",
+                "dynamic": false,
+                "info": "Optional concurrency level for bulk insert operations that overwrite existing data.",
+                "list": false,
+                "name": "bulk_insert_overwrite_concurrency",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": ""
+              },
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "from loguru import logger\n\nfrom langflow.base.vectorstores.model import LCVectorStoreComponent\nfrom langflow.io import BoolInput, DropdownInput, HandleInput, IntInput, MultilineInput, SecretStrInput, StrInput\nfrom langflow.schema import Data\n\n\nclass AstraVectorStoreComponent(LCVectorStoreComponent):\n    display_name: str = \"Astra DB Vector Store\"\n    description: str = \"Implementation of Vector Store using Astra DB with search capabilities\"\n    documentation: str = \"https://python.langchain.com/docs/integrations/vectorstores/astradb\"\n    icon: str = \"AstraDB\"\n\n    inputs = [\n        StrInput(\n            name=\"collection_name\",\n            display_name=\"Collection Name\",\n            info=\"The name of the collection within Astra DB where the vectors will be stored.\",\n        ),\n        SecretStrInput(\n            name=\"token\",\n            display_name=\"Astra DB Application Token\",\n            info=\"Authentication token for accessing Astra DB.\",\n            value=\"ASTRA_DB_APPLICATION_TOKEN\",\n        ),\n        SecretStrInput(\n            name=\"api_endpoint\",\n            display_name=\"API Endpoint\",\n            info=\"API endpoint URL for the Astra DB service.\",\n            value=\"ASTRA_DB_API_ENDPOINT\",\n        ),\n        HandleInput(\n            name=\"vector_store_inputs\",\n            display_name=\"Vector Store Inputs\",\n            input_types=[\"Document\", \"Data\"],\n            is_list=True,\n        ),\n        HandleInput(\n            name=\"embedding\",\n            display_name=\"Embedding\",\n            input_types=[\"Embeddings\"],\n        ),\n        StrInput(\n            name=\"namespace\",\n            display_name=\"Namespace\",\n            info=\"Optional namespace within Astra DB to use for the collection.\",\n            advanced=True,\n        ),\n        DropdownInput(\n            name=\"metric\",\n            display_name=\"Metric\",\n            info=\"Optional distance metric for vector comparisons in the vector store.\",\n            options=[\"cosine\", \"dot_product\", \"euclidean\"],\n            advanced=True,\n        ),\n        IntInput(\n            name=\"batch_size\",\n            display_name=\"Batch Size\",\n            info=\"Optional number of data to process in a single batch.\",\n            advanced=True,\n        ),\n        IntInput(\n            name=\"bulk_insert_batch_concurrency\",\n            display_name=\"Bulk Insert Batch Concurrency\",\n            info=\"Optional concurrency level for bulk insert operations.\",\n            advanced=True,\n        ),\n        IntInput(\n            name=\"bulk_insert_overwrite_concurrency\",\n            display_name=\"Bulk Insert Overwrite Concurrency\",\n            info=\"Optional concurrency level for bulk insert operations that overwrite existing data.\",\n            advanced=True,\n        ),\n        IntInput(\n            name=\"bulk_delete_concurrency\",\n            display_name=\"Bulk Delete Concurrency\",\n            info=\"Optional concurrency level for bulk delete operations.\",\n            advanced=True,\n        ),\n        DropdownInput(\n            name=\"setup_mode\",\n            display_name=\"Setup Mode\",\n            info=\"Configuration mode for setting up the vector store, with options like 'Sync', 'Async', or 'Off'.\",\n            options=[\"Sync\", \"Async\", \"Off\"],\n            advanced=True,\n            value=\"Sync\",\n        ),\n        BoolInput(\n            name=\"pre_delete_collection\",\n            display_name=\"Pre Delete Collection\",\n            info=\"Boolean flag to determine whether to delete the collection before creating a new one.\",\n            advanced=True,\n        ),\n        StrInput(\n            name=\"metadata_indexing_include\",\n            display_name=\"Metadata Indexing Include\",\n            info=\"Optional list of metadata fields to include in the indexing.\",\n            advanced=True,\n        ),\n        StrInput(\n            name=\"metadata_indexing_exclude\",\n            display_name=\"Metadata Indexing Exclude\",\n            info=\"Optional list of metadata fields to exclude from the indexing.\",\n            advanced=True,\n        ),\n        StrInput(\n            name=\"collection_indexing_policy\",\n            display_name=\"Collection Indexing Policy\",\n            info=\"Optional dictionary defining the indexing policy for the collection.\",\n            advanced=True,\n        ),\n        BoolInput(\n            name=\"add_to_vector_store\",\n            display_name=\"Add to Vector Store\",\n            info=\"If true, the Vector Store Inputs will be added to the Vector Store.\",\n        ),\n        MultilineInput(\n            name=\"search_input\",\n            display_name=\"Search Input\",\n        ),\n        DropdownInput(\n            name=\"search_type\",\n            display_name=\"Search Type\",\n            options=[\"Similarity\", \"MMR\"],\n            value=\"Similarity\",\n        ),\n        IntInput(\n            name=\"number_of_results\",\n            display_name=\"Number of Results\",\n            info=\"Number of results to return.\",\n            advanced=True,\n            value=4,\n        ),\n    ]\n\n    def build_vector_store(self):\n        try:\n            from langchain_astradb import AstraDBVectorStore\n            from langchain_astradb.utils.astradb import SetupMode\n        except ImportError:\n            raise ImportError(\n                \"Could not import langchain Astra DB integration package. \"\n                \"Please install it with `pip install langchain-astradb`.\"\n            )\n\n        try:\n            if not self.setup_mode:\n                self.setup_mode = self._inputs[\"setup_mode\"].options[0]\n\n            setup_mode_value = SetupMode[self.setup_mode.upper()]\n        except KeyError:\n            raise ValueError(f\"Invalid setup mode: {self.setup_mode}\")\n\n        vector_store_kwargs = {\n            \"embedding\": self.embedding,\n            \"collection_name\": self.collection_name,\n            \"token\": self.token,\n            \"api_endpoint\": self.api_endpoint,\n            \"namespace\": self.namespace or None,\n            \"metric\": self.metric or None,\n            \"batch_size\": self.batch_size or None,\n            \"bulk_insert_batch_concurrency\": self.bulk_insert_batch_concurrency or None,\n            \"bulk_insert_overwrite_concurrency\": self.bulk_insert_overwrite_concurrency or None,\n            \"bulk_delete_concurrency\": self.bulk_delete_concurrency or None,\n            \"setup_mode\": setup_mode_value,\n            \"pre_delete_collection\": self.pre_delete_collection or False,\n        }\n\n        if self.metadata_indexing_include:\n            vector_store_kwargs[\"metadata_indexing_include\"] = self.metadata_indexing_include\n        elif self.metadata_indexing_exclude:\n            vector_store_kwargs[\"metadata_indexing_exclude\"] = self.metadata_indexing_exclude\n        elif self.collection_indexing_policy:\n            vector_store_kwargs[\"collection_indexing_policy\"] = self.collection_indexing_policy\n\n        try:\n            vector_store = AstraDBVectorStore(**vector_store_kwargs)\n        except Exception as e:\n            raise ValueError(f\"Error initializing AstraDBVectorStore: {str(e)}\") from e\n\n        if self.add_to_vector_store:\n            self._add_documents_to_vector_store(vector_store)\n\n        return vector_store\n\n    def build_base_retriever(self):\n        vector_store = self.build_vector_store()\n        self.status = self._astradb_collection_to_data(vector_store.collection)\n        return vector_store\n\n    def _add_documents_to_vector_store(self, vector_store):\n        documents = []\n        for _input in self.vector_store_inputs or []:\n            if isinstance(_input, Data):\n                documents.append(_input.to_lc_document())\n            else:\n                raise ValueError(\"Vector Store Inputs must be Data objects.\")\n\n        if documents and self.embedding is not None:\n            logger.debug(f\"Adding {len(documents)} documents to the Vector Store.\")\n            try:\n                vector_store.add_documents(documents)\n            except Exception as e:\n                raise ValueError(f\"Error adding documents to AstraDBVectorStore: {str(e)}\") from e\n        else:\n            logger.debug(\"No documents to add to the Vector Store.\")\n\n    def search_documents(self):\n        vector_store = self.build_vector_store()\n\n        logger.debug(f\"Search input: {self.search_input}\")\n        logger.debug(f\"Search type: {self.search_type}\")\n        logger.debug(f\"Number of results: {self.number_of_results}\")\n\n        if self.search_input and isinstance(self.search_input, str) and self.search_input.strip():\n            try:\n                if self.search_type == \"Similarity\":\n                    docs = vector_store.similarity_search(\n                        query=self.search_input,\n                        k=self.number_of_results,\n                    )\n                elif self.search_type == \"MMR\":\n                    docs = vector_store.max_marginal_relevance_search(\n                        query=self.search_input,\n                        k=self.number_of_results,\n                    )\n                else:\n                    raise ValueError(f\"Invalid search type: {self.search_type}\")\n            except Exception as e:\n                raise ValueError(f\"Error performing search in AstraDBVectorStore: {str(e)}\") from e\n\n            logger.debug(f\"Retrieved documents: {len(docs)}\")\n\n            data = [Data.from_document(doc) for doc in docs]\n            logger.debug(f\"Converted documents to data: {len(data)}\")\n            self.status = data\n            return data\n        else:\n            logger.debug(\"No search input provided. Skipping search.\")\n            return []\n\n    def _astradb_collection_to_data(self, collection):\n        data = []\n        data_dict = collection.find()\n        if data_dict and \"data\" in data_dict:\n            data_dict = data_dict[\"data\"].get(\"documents\", [])\n\n        for item in data_dict:\n            data.append(Data(content=item[\"content\"]))\n        return data\n"
+              },
+              "collection_indexing_policy": {
+                "advanced": true,
+                "display_name": "Collection Indexing Policy",
+                "dynamic": false,
+                "info": "Optional dictionary defining the indexing policy for the collection.",
+                "list": false,
+                "load_from_db": false,
+                "name": "collection_indexing_policy",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "collection_name": {
+                "advanced": false,
+                "display_name": "Collection Name",
+                "dynamic": false,
+                "info": "The name of the collection within Astra DB where the vectors will be stored.",
+                "list": false,
+                "load_from_db": false,
+                "name": "collection_name",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "langflow"
+              },
+              "embedding": {
+                "advanced": false,
+                "display_name": "Embedding",
+                "dynamic": false,
+                "info": "",
+                "input_types": [
+                  "Embeddings"
+                ],
+                "list": false,
+                "name": "embedding",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "other",
+                "value": ""
+              },
+              "metadata_indexing_exclude": {
+                "advanced": true,
+                "display_name": "Metadata Indexing Exclude",
+                "dynamic": false,
+                "info": "Optional list of metadata fields to exclude from the indexing.",
+                "list": false,
+                "load_from_db": false,
+                "name": "metadata_indexing_exclude",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "metadata_indexing_include": {
+                "advanced": true,
+                "display_name": "Metadata Indexing Include",
+                "dynamic": false,
+                "info": "Optional list of metadata fields to include in the indexing.",
+                "list": false,
+                "load_from_db": false,
+                "name": "metadata_indexing_include",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "metric": {
+                "advanced": true,
+                "display_name": "Metric",
+                "dynamic": false,
+                "info": "Optional distance metric for vector comparisons in the vector store.",
+                "name": "metric",
+                "options": [
+                  "cosine",
+                  "dot_product",
+                  "euclidean"
+                ],
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "namespace": {
+                "advanced": true,
+                "display_name": "Namespace",
+                "dynamic": false,
+                "info": "Optional namespace within Astra DB to use for the collection.",
+                "list": false,
+                "load_from_db": false,
+                "name": "namespace",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "number_of_results": {
+                "advanced": true,
+                "display_name": "Number of Results",
+                "dynamic": false,
+                "info": "Number of results to return.",
+                "list": false,
+                "name": "number_of_results",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": 4
+              },
+              "pre_delete_collection": {
+                "advanced": true,
+                "display_name": "Pre Delete Collection",
+                "dynamic": false,
+                "info": "Boolean flag to determine whether to delete the collection before creating a new one.",
+                "list": false,
+                "name": "pre_delete_collection",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "bool",
+                "value": false
+              },
+              "search_input": {
+                "advanced": false,
+                "display_name": "Search Input",
+                "dynamic": false,
+                "info": "",
+                "input_types": [
+                  "Message",
+                  "str"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "search_input",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "search_type": {
+                "advanced": false,
+                "display_name": "Search Type",
+                "dynamic": false,
+                "info": "",
+                "name": "search_type",
+                "options": [
+                  "Similarity",
+                  "MMR"
+                ],
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "Similarity"
+              },
+              "setup_mode": {
+                "advanced": true,
+                "display_name": "Setup Mode",
+                "dynamic": false,
+                "info": "Configuration mode for setting up the vector store, with options like 'Sync', 'Async', or 'Off'.",
+                "name": "setup_mode",
+                "options": [
+                  "Sync",
+                  "Async",
+                  "Off"
+                ],
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "Sync"
+              },
+              "token": {
+                "advanced": false,
+                "display_name": "Astra DB Application Token",
+                "dynamic": false,
+                "info": "Authentication token for accessing Astra DB.",
+                "input_types": [],
+                "load_from_db": false,
+                "name": "token",
+                "password": true,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "vector_store_inputs": {
+                "advanced": false,
+                "display_name": "Vector Store Inputs",
+                "dynamic": false,
+                "info": "",
+                "input_types": [
+                  "Document",
+                  "Data"
+                ],
+                "list": true,
+                "name": "vector_store_inputs",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "other",
+                "value": ""
+              }
+            }
+          },
+          "type": "AstraDB"
+        },
+        "dragging": false,
+        "height": 917,
+        "id": "AstraDB-p6135",
+        "position": {
+          "x": 1298.4611042465333,
+          "y": 160.7181472642742
+        },
+        "positionAbsolute": {
+          "x": 1298.4611042465333,
+          "y": 160.7181472642742
+        },
+        "selected": false,
+        "type": "genericNode",
+        "width": 384
+      },
+      {
+        "data": {
+          "id": "ParseData-9DrmC",
+          "node": {
+            "base_classes": [
+              "Message"
+            ],
+            "beta": false,
+            "conditional_paths": [],
+            "custom_fields": {},
+            "description": "Convert Data into plain text following a specified template.",
+            "display_name": "Parse Data",
+            "documentation": "",
+            "field_order": [
+              "data",
+              "template",
+              "sep"
+            ],
+            "frozen": false,
+            "icon": "braces",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Text",
+                "hidden": false,
+                "method": "parse_data",
+                "name": "text",
+                "selected": "Message",
+                "types": [
+                  "Message"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "pinned": false,
+            "template": {
+              "_type": "Component",
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "from langflow.custom import Component\nfrom langflow.helpers.data import data_to_text\nfrom langflow.io import DataInput, MultilineInput, Output, StrInput\nfrom langflow.schema.message import Message\n\n\nclass ParseDataComponent(Component):\n    display_name = \"Parse Data\"\n    description = \"Convert Data into plain text following a specified template.\"\n    icon = \"braces\"\n\n    inputs = [\n        DataInput(name=\"data\", display_name=\"Data\", info=\"The data to convert to text.\"),\n        MultilineInput(\n            name=\"template\",\n            display_name=\"Template\",\n            info=\"The template to use for formatting the data. It can contain the keys {text}, {data} or any other key in the Data.\",\n            value=\"{text}\",\n        ),\n        StrInput(name=\"sep\", display_name=\"Separator\", advanced=True, value=\"\\n\"),\n    ]\n\n    outputs = [\n        Output(display_name=\"Text\", name=\"text\", method=\"parse_data\"),\n    ]\n\n    def parse_data(self) -> Message:\n        data = self.data if isinstance(self.data, list) else [self.data]\n        template = self.template\n\n        result_string = data_to_text(template, data, sep=self.sep)\n        self.status = result_string\n        return Message(text=result_string)\n"
+              },
+              "data": {
+                "advanced": false,
+                "display_name": "Data",
+                "dynamic": false,
+                "info": "The data to convert to text.",
+                "input_types": [
+                  "Data"
+                ],
+                "list": false,
+                "name": "data",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "other",
+                "value": ""
+              },
+              "sep": {
+                "advanced": true,
+                "display_name": "Separator",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "name": "sep",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "---"
+              },
+              "template": {
+                "advanced": false,
+                "display_name": "Template",
+                "dynamic": false,
+                "info": "The template to use for formatting the data. It can contain the keys {text}, {data} or any other key in the Data.",
+                "input_types": [
+                  "Message",
+                  "str"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "template",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "{text}"
+              }
+            }
+          },
+          "type": "ParseData"
+        },
+        "dragging": false,
+        "height": 385,
+        "id": "ParseData-9DrmC",
+        "position": {
+          "x": 1911.4866480237615,
+          "y": 566.903831987901
+        },
+        "positionAbsolute": {
+          "x": 1911.4866480237615,
+          "y": 566.903831987901
+        },
+        "selected": false,
+        "type": "genericNode",
+        "width": 384
+      },
+      {
+        "data": {
+          "description": "Create a prompt template with dynamic variables.",
+          "display_name": "Prompt",
+          "id": "Prompt-EEXgw",
+          "node": {
+            "base_classes": [
+              "Message"
+            ],
+            "beta": false,
+            "conditional_paths": [],
+            "custom_fields": {
+              "template": [
+                "context",
+                "question"
+              ]
+            },
+            "description": "Create a prompt template with dynamic variables.",
+            "display_name": "Prompt",
+            "documentation": "",
+            "edited": false,
+            "error": null,
+            "field_order": [
+              "template"
+            ],
+            "frozen": false,
+            "full_path": null,
+            "icon": "prompts",
+            "is_composition": null,
+            "is_input": null,
+            "is_output": null,
+            "name": "",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Prompt Message",
+                "hidden": false,
+                "method": "build_prompt",
+                "name": "prompt",
+                "selected": "Message",
+                "types": [
+                  "Message"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "pinned": false,
+            "template": {
+              "_type": "Component",
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "from langflow.base.prompts.api_utils import process_prompt_template\nfrom langflow.custom import Component\nfrom langflow.io import Output, PromptInput\nfrom langflow.schema.message import Message\nfrom langflow.template.utils import update_template_values\n\n\nclass PromptComponent(Component):\n    display_name: str = \"Prompt\"\n    description: str = \"Create a prompt template with dynamic variables.\"\n    icon = \"prompts\"\n    trace_type = \"prompt\"\n\n    inputs = [\n        PromptInput(name=\"template\", display_name=\"Template\"),\n    ]\n\n    outputs = [\n        Output(display_name=\"Prompt Message\", name=\"prompt\", method=\"build_prompt\"),\n    ]\n\n    async def build_prompt(\n        self,\n    ) -> Message:\n        prompt = await Message.from_template_and_variables(**self._attributes)\n        self.status = prompt.text\n        return prompt\n\n    def post_code_processing(self, new_build_config: dict, current_build_config: dict):\n        \"\"\"\n        This function is called after the code validation is done.\n        \"\"\"\n        frontend_node = super().post_code_processing(new_build_config, current_build_config)\n        template = frontend_node[\"template\"][\"template\"][\"value\"]\n        _ = process_prompt_template(\n            template=template,\n            name=\"template\",\n            custom_fields=frontend_node[\"custom_fields\"],\n            frontend_node_template=frontend_node[\"template\"],\n        )\n        # Now that template is updated, we need to grab any values that were set in the current_build_config\n        # and update the frontend_node with those values\n        update_template_values(frontend_template=frontend_node, raw_template=current_build_config[\"template\"])\n        return frontend_node\n"
+              },
+              "context": {
+                "advanced": false,
+                "display_name": "context",
+                "dynamic": false,
+                "field_type": "str",
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "input_types": [
+                  "Message",
+                  "Text"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "context",
+                "password": false,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "question": {
+                "advanced": false,
+                "display_name": "question",
+                "dynamic": false,
+                "field_type": "str",
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "input_types": [
+                  "Message",
+                  "Text"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "question",
+                "password": false,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "template": {
+                "advanced": false,
+                "display_name": "Template",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "template",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "type": "prompt",
+                "value": "{context}\n\n---\n\nGiven the context above, answer the question as best as possible.\n\nQuestion: {question}\n\nAnswer: "
+              }
+            }
+          },
+          "type": "Prompt"
+        },
+        "dragging": false,
+        "height": 517,
+        "id": "Prompt-EEXgw",
+        "position": {
+          "x": 2537.8054430938064,
+          "y": 442.35183727527414
+        },
+        "positionAbsolute": {
+          "x": 2537.8054430938064,
+          "y": 442.35183727527414
+        },
+        "selected": false,
+        "type": "genericNode",
+        "width": 384
+      },
+      {
+        "data": {
+          "id": "SplitText-qI0jS",
+          "node": {
+            "base_classes": [
+              "Data"
+            ],
+            "beta": false,
+            "conditional_paths": [],
+            "custom_fields": {},
+            "description": "Split text into chunks based on specified criteria.",
+            "display_name": "Split Text",
+            "documentation": "",
+            "edited": false,
+            "field_order": [
+              "data_inputs",
+              "chunk_overlap",
+              "chunk_size",
+              "separator"
+            ],
+            "frozen": false,
+            "icon": "scissors-line-dashed",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Chunks",
+                "hidden": false,
+                "method": "split_text",
+                "name": "chunks",
+                "selected": "Data",
+                "types": [
+                  "Data"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "pinned": false,
+            "template": {
+              "_type": "Component",
+              "chunk_overlap": {
+                "advanced": false,
+                "display_name": "Chunk Overlap",
+                "dynamic": false,
+                "info": "Number of characters to overlap between chunks.",
+                "list": false,
+                "name": "chunk_overlap",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_metadata": true,
+                "type": "int",
+                "value": 200
+              },
+              "chunk_size": {
+                "advanced": false,
+                "display_name": "Chunk Size",
+                "dynamic": false,
+                "info": "The maximum number of characters in each chunk.",
+                "list": false,
+                "name": "chunk_size",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_metadata": true,
+                "type": "int",
+                "value": 1000
+              },
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "from typing import List\n\nfrom langchain_text_splitters import CharacterTextSplitter\n\nfrom langflow.custom import Component\nfrom langflow.io import HandleInput, IntInput, MessageTextInput, Output\nfrom langflow.schema import Data\nfrom langflow.utils.util import unescape_string\n\n\nclass SplitTextComponent(Component):\n    display_name: str = \"Split Text\"\n    description: str = \"Split text into chunks based on specified criteria.\"\n    icon = \"scissors-line-dashed\"\n\n    inputs = [\n        HandleInput(\n            name=\"data_inputs\",\n            display_name=\"Data Inputs\",\n            info=\"The data to split.\",\n            input_types=[\"Data\"],\n            is_list=True,\n        ),\n        IntInput(\n            name=\"chunk_overlap\",\n            display_name=\"Chunk Overlap\",\n            info=\"Number of characters to overlap between chunks.\",\n            value=200,\n        ),\n        IntInput(\n            name=\"chunk_size\",\n            display_name=\"Chunk Size\",\n            info=\"The maximum number of characters in each chunk.\",\n            value=1000,\n        ),\n        MessageTextInput(\n            name=\"separator\",\n            display_name=\"Separator\",\n            info=\"The character to split on. Defaults to newline.\",\n            value=\"\\n\",\n        ),\n    ]\n\n    outputs = [\n        Output(display_name=\"Chunks\", name=\"chunks\", method=\"split_text\"),\n    ]\n\n    def _docs_to_data(self, docs):\n        data = []\n        for doc in docs:\n            data.append(Data(text=doc.page_content, data=doc.metadata))\n        return data\n\n    def split_text(self) -> List[Data]:\n        separator = unescape_string(self.separator)\n\n        documents = []\n        for _input in self.data_inputs:\n            if isinstance(_input, Data):\n                documents.append(_input.to_lc_document())\n\n        splitter = CharacterTextSplitter(\n            chunk_overlap=self.chunk_overlap,\n            chunk_size=self.chunk_size,\n            separator=separator,\n        )\n        docs = splitter.split_documents(documents)\n        data = self._docs_to_data(docs)\n        self.status = data\n        return data\n"
+              },
+              "data_inputs": {
+                "advanced": false,
+                "display_name": "Data Inputs",
+                "dynamic": false,
+                "info": "The data to split.",
+                "input_types": [
+                  "Data"
+                ],
+                "list": true,
+                "name": "data_inputs",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_metadata": true,
+                "type": "other",
+                "value": ""
+              },
+              "separator": {
+                "advanced": false,
+                "display_name": "Separator",
+                "dynamic": false,
+                "info": "The character to split on. Defaults to newline.",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "separator",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": "\n"
+              }
+            }
+          },
+          "type": "SplitText"
+        },
+        "dragging": false,
+        "height": 557,
+        "id": "SplitText-qI0jS",
+        "position": {
+          "x": 1992.5159478772907,
+          "y": 1190.8288727494814
+        },
+        "positionAbsolute": {
+          "x": 1992.5159478772907,
+          "y": 1190.8288727494814
+        },
+        "selected": false,
+        "type": "genericNode",
+        "width": 384
+      },
+      {
+        "id": "AstraDB-AX2Xz",
+        "type": "genericNode",
+        "position": {
+          "x": 2773.0562333179937,
+          "y": 1160.0660495763536
+        },
+        "data": {
+          "description": "Implementation of Vector Store using Astra DB with search capabilities",
+          "display_name": "Astra DB Vector Store",
+          "id": "AstraDB-AX2Xz",
+          "node": {
+            "base_classes": [
+              "Data"
+            ],
+            "beta": false,
+            "conditional_paths": [],
+            "custom_fields": {},
+            "description": "Implementation of Vector Store using Astra DB with search capabilities",
+            "display_name": "Astra DB Vector Store",
+            "documentation": "https://python.langchain.com/docs/integrations/vectorstores/astradb",
+            "edited": false,
+            "field_order": [
+              "collection_name",
+              "token",
+              "api_endpoint",
+              "vector_store_inputs",
+              "embedding",
+              "namespace",
+              "metric",
+              "batch_size",
+              "bulk_insert_batch_concurrency",
+              "bulk_insert_overwrite_concurrency",
+              "bulk_delete_concurrency",
+              "setup_mode",
+              "pre_delete_collection",
+              "metadata_indexing_include",
+              "metadata_indexing_exclude",
+              "collection_indexing_policy",
+              "add_to_vector_store",
+              "search_input",
+              "search_type",
+              "number_of_results"
+            ],
+            "frozen": false,
+            "icon": "AstraDB",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Retriever",
+                "method": "build_base_retriever",
+                "name": "base_retriever",
+                "selected": "Data",
+                "types": [
+                  "Data"
+                ],
+                "value": "__UNDEFINED__"
+              },
+              {
+                "cache": true,
+                "display_name": "Search Results",
+                "hidden": false,
+                "method": "search_documents",
+                "name": "search_results",
+                "selected": "Data",
+                "types": [
+                  "Data"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "pinned": false,
+            "template": {
+              "_type": "Component",
+              "add_to_vector_store": {
+                "advanced": false,
+                "display_name": "Add to Vector Store",
+                "dynamic": false,
+                "info": "If true, the Vector Store Inputs will be added to the Vector Store.",
+                "list": false,
+                "name": "add_to_vector_store",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "bool",
+                "value": true
+              },
+              "api_endpoint": {
+                "advanced": false,
+                "display_name": "API Endpoint",
+                "dynamic": false,
+                "info": "API endpoint URL for the Astra DB service.",
+                "input_types": [],
+                "load_from_db": false,
+                "name": "api_endpoint",
+                "password": true,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "batch_size": {
+                "advanced": true,
+                "display_name": "Batch Size",
+                "dynamic": false,
+                "info": "Optional number of data to process in a single batch.",
+                "list": false,
+                "name": "batch_size",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": ""
+              },
+              "bulk_delete_concurrency": {
+                "advanced": true,
+                "display_name": "Bulk Delete Concurrency",
+                "dynamic": false,
+                "info": "Optional concurrency level for bulk delete operations.",
+                "list": false,
+                "name": "bulk_delete_concurrency",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": ""
+              },
+              "bulk_insert_batch_concurrency": {
+                "advanced": true,
+                "display_name": "Bulk Insert Batch Concurrency",
+                "dynamic": false,
+                "info": "Optional concurrency level for bulk insert operations.",
+                "list": false,
+                "name": "bulk_insert_batch_concurrency",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": ""
+              },
+              "bulk_insert_overwrite_concurrency": {
+                "advanced": true,
+                "display_name": "Bulk Insert Overwrite Concurrency",
+                "dynamic": false,
+                "info": "Optional concurrency level for bulk insert operations that overwrite existing data.",
+                "list": false,
+                "name": "bulk_insert_overwrite_concurrency",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": ""
+              },
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "from loguru import logger\n\nfrom langflow.base.vectorstores.model import LCVectorStoreComponent\nfrom langflow.io import BoolInput, DropdownInput, HandleInput, IntInput, MultilineInput, SecretStrInput, StrInput\nfrom langflow.schema import Data\n\n\nclass AstraVectorStoreComponent(LCVectorStoreComponent):\n    display_name: str = \"Astra DB Vector Store\"\n    description: str = \"Implementation of Vector Store using Astra DB with search capabilities\"\n    documentation: str = \"https://python.langchain.com/docs/integrations/vectorstores/astradb\"\n    icon: str = \"AstraDB\"\n\n    inputs = [\n        StrInput(\n            name=\"collection_name\",\n            display_name=\"Collection Name\",\n            info=\"The name of the collection within Astra DB where the vectors will be stored.\",\n        ),\n        SecretStrInput(\n            name=\"token\",\n            display_name=\"Astra DB Application Token\",\n            info=\"Authentication token for accessing Astra DB.\",\n            value=\"ASTRA_DB_APPLICATION_TOKEN\",\n        ),\n        SecretStrInput(\n            name=\"api_endpoint\",\n            display_name=\"API Endpoint\",\n            info=\"API endpoint URL for the Astra DB service.\",\n            value=\"ASTRA_DB_API_ENDPOINT\",\n        ),\n        HandleInput(\n            name=\"vector_store_inputs\",\n            display_name=\"Vector Store Inputs\",\n            input_types=[\"Document\", \"Data\"],\n            is_list=True,\n        ),\n        HandleInput(\n            name=\"embedding\",\n            display_name=\"Embedding\",\n            input_types=[\"Embeddings\"],\n        ),\n        StrInput(\n            name=\"namespace\",\n            display_name=\"Namespace\",\n            info=\"Optional namespace within Astra DB to use for the collection.\",\n            advanced=True,\n        ),\n        DropdownInput(\n            name=\"metric\",\n            display_name=\"Metric\",\n            info=\"Optional distance metric for vector comparisons in the vector store.\",\n            options=[\"cosine\", \"dot_product\", \"euclidean\"],\n            advanced=True,\n        ),\n        IntInput(\n            name=\"batch_size\",\n            display_name=\"Batch Size\",\n            info=\"Optional number of data to process in a single batch.\",\n            advanced=True,\n        ),\n        IntInput(\n            name=\"bulk_insert_batch_concurrency\",\n            display_name=\"Bulk Insert Batch Concurrency\",\n            info=\"Optional concurrency level for bulk insert operations.\",\n            advanced=True,\n        ),\n        IntInput(\n            name=\"bulk_insert_overwrite_concurrency\",\n            display_name=\"Bulk Insert Overwrite Concurrency\",\n            info=\"Optional concurrency level for bulk insert operations that overwrite existing data.\",\n            advanced=True,\n        ),\n        IntInput(\n            name=\"bulk_delete_concurrency\",\n            display_name=\"Bulk Delete Concurrency\",\n            info=\"Optional concurrency level for bulk delete operations.\",\n            advanced=True,\n        ),\n        DropdownInput(\n            name=\"setup_mode\",\n            display_name=\"Setup Mode\",\n            info=\"Configuration mode for setting up the vector store, with options like 'Sync', 'Async', or 'Off'.\",\n            options=[\"Sync\", \"Async\", \"Off\"],\n            advanced=True,\n            value=\"Sync\",\n        ),\n        BoolInput(\n            name=\"pre_delete_collection\",\n            display_name=\"Pre Delete Collection\",\n            info=\"Boolean flag to determine whether to delete the collection before creating a new one.\",\n            advanced=True,\n        ),\n        StrInput(\n            name=\"metadata_indexing_include\",\n            display_name=\"Metadata Indexing Include\",\n            info=\"Optional list of metadata fields to include in the indexing.\",\n            advanced=True,\n        ),\n        StrInput(\n            name=\"metadata_indexing_exclude\",\n            display_name=\"Metadata Indexing Exclude\",\n            info=\"Optional list of metadata fields to exclude from the indexing.\",\n            advanced=True,\n        ),\n        StrInput(\n            name=\"collection_indexing_policy\",\n            display_name=\"Collection Indexing Policy\",\n            info=\"Optional dictionary defining the indexing policy for the collection.\",\n            advanced=True,\n        ),\n        BoolInput(\n            name=\"add_to_vector_store\",\n            display_name=\"Add to Vector Store\",\n            info=\"If true, the Vector Store Inputs will be added to the Vector Store.\",\n        ),\n        MultilineInput(\n            name=\"search_input\",\n            display_name=\"Search Input\",\n        ),\n        DropdownInput(\n            name=\"search_type\",\n            display_name=\"Search Type\",\n            options=[\"Similarity\", \"MMR\"],\n            value=\"Similarity\",\n        ),\n        IntInput(\n            name=\"number_of_results\",\n            display_name=\"Number of Results\",\n            info=\"Number of results to return.\",\n            advanced=True,\n            value=4,\n        ),\n    ]\n\n    def build_vector_store(self):\n        try:\n            from langchain_astradb import AstraDBVectorStore\n            from langchain_astradb.utils.astradb import SetupMode\n        except ImportError:\n            raise ImportError(\n                \"Could not import langchain Astra DB integration package. \"\n                \"Please install it with `pip install langchain-astradb`.\"\n            )\n\n        try:\n            if not self.setup_mode:\n                self.setup_mode = self._inputs[\"setup_mode\"].options[0]\n\n            setup_mode_value = SetupMode[self.setup_mode.upper()]\n        except KeyError:\n            raise ValueError(f\"Invalid setup mode: {self.setup_mode}\")\n\n        vector_store_kwargs = {\n            \"embedding\": self.embedding,\n            \"collection_name\": self.collection_name,\n            \"token\": self.token,\n            \"api_endpoint\": self.api_endpoint,\n            \"namespace\": self.namespace or None,\n            \"metric\": self.metric or None,\n            \"batch_size\": self.batch_size or None,\n            \"bulk_insert_batch_concurrency\": self.bulk_insert_batch_concurrency or None,\n            \"bulk_insert_overwrite_concurrency\": self.bulk_insert_overwrite_concurrency or None,\n            \"bulk_delete_concurrency\": self.bulk_delete_concurrency or None,\n            \"setup_mode\": setup_mode_value,\n            \"pre_delete_collection\": self.pre_delete_collection or False,\n        }\n\n        if self.metadata_indexing_include:\n            vector_store_kwargs[\"metadata_indexing_include\"] = self.metadata_indexing_include\n        elif self.metadata_indexing_exclude:\n            vector_store_kwargs[\"metadata_indexing_exclude\"] = self.metadata_indexing_exclude\n        elif self.collection_indexing_policy:\n            vector_store_kwargs[\"collection_indexing_policy\"] = self.collection_indexing_policy\n\n        try:\n            vector_store = AstraDBVectorStore(**vector_store_kwargs)\n        except Exception as e:\n            raise ValueError(f\"Error initializing AstraDBVectorStore: {str(e)}\") from e\n\n        if self.add_to_vector_store:\n            self._add_documents_to_vector_store(vector_store)\n\n        return vector_store\n\n    def build_base_retriever(self):\n        vector_store = self.build_vector_store()\n        self.status = self._astradb_collection_to_data(vector_store.collection)\n        return vector_store\n\n    def _add_documents_to_vector_store(self, vector_store):\n        documents = []\n        for _input in self.vector_store_inputs or []:\n            if isinstance(_input, Data):\n                documents.append(_input.to_lc_document())\n            else:\n                raise ValueError(\"Vector Store Inputs must be Data objects.\")\n\n        if documents and self.embedding is not None:\n            logger.debug(f\"Adding {len(documents)} documents to the Vector Store.\")\n            try:\n                vector_store.add_documents(documents)\n            except Exception as e:\n                raise ValueError(f\"Error adding documents to AstraDBVectorStore: {str(e)}\") from e\n        else:\n            logger.debug(\"No documents to add to the Vector Store.\")\n\n    def search_documents(self):\n        vector_store = self.build_vector_store()\n\n        logger.debug(f\"Search input: {self.search_input}\")\n        logger.debug(f\"Search type: {self.search_type}\")\n        logger.debug(f\"Number of results: {self.number_of_results}\")\n\n        if self.search_input and isinstance(self.search_input, str) and self.search_input.strip():\n            try:\n                if self.search_type == \"Similarity\":\n                    docs = vector_store.similarity_search(\n                        query=self.search_input,\n                        k=self.number_of_results,\n                    )\n                elif self.search_type == \"MMR\":\n                    docs = vector_store.max_marginal_relevance_search(\n                        query=self.search_input,\n                        k=self.number_of_results,\n                    )\n                else:\n                    raise ValueError(f\"Invalid search type: {self.search_type}\")\n            except Exception as e:\n                raise ValueError(f\"Error performing search in AstraDBVectorStore: {str(e)}\") from e\n\n            logger.debug(f\"Retrieved documents: {len(docs)}\")\n\n            data = [Data.from_document(doc) for doc in docs]\n            logger.debug(f\"Converted documents to data: {len(data)}\")\n            self.status = data\n            return data\n        else:\n            logger.debug(\"No search input provided. Skipping search.\")\n            return []\n\n    def _astradb_collection_to_data(self, collection):\n        data = []\n        data_dict = collection.find()\n        if data_dict and \"data\" in data_dict:\n            data_dict = data_dict[\"data\"].get(\"documents\", [])\n\n        for item in data_dict:\n            data.append(Data(content=item[\"content\"]))\n        return data\n"
+              },
+              "collection_indexing_policy": {
+                "advanced": true,
+                "display_name": "Collection Indexing Policy",
+                "dynamic": false,
+                "info": "Optional dictionary defining the indexing policy for the collection.",
+                "list": false,
+                "load_from_db": false,
+                "name": "collection_indexing_policy",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "collection_name": {
+                "advanced": false,
+                "display_name": "Collection Name",
+                "dynamic": false,
+                "info": "The name of the collection within Astra DB where the vectors will be stored.",
+                "list": false,
+                "load_from_db": false,
+                "name": "collection_name",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "langflow"
+              },
+              "embedding": {
+                "advanced": false,
+                "display_name": "Embedding",
+                "dynamic": false,
+                "info": "",
+                "input_types": [
+                  "Embeddings"
+                ],
+                "list": false,
+                "name": "embedding",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "other",
+                "value": ""
+              },
+              "metadata_indexing_exclude": {
+                "advanced": true,
+                "display_name": "Metadata Indexing Exclude",
+                "dynamic": false,
+                "info": "Optional list of metadata fields to exclude from the indexing.",
+                "list": false,
+                "load_from_db": false,
+                "name": "metadata_indexing_exclude",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "metadata_indexing_include": {
+                "advanced": true,
+                "display_name": "Metadata Indexing Include",
+                "dynamic": false,
+                "info": "Optional list of metadata fields to include in the indexing.",
+                "list": false,
+                "load_from_db": false,
+                "name": "metadata_indexing_include",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "metric": {
+                "advanced": true,
+                "display_name": "Metric",
+                "dynamic": false,
+                "info": "Optional distance metric for vector comparisons in the vector store.",
+                "name": "metric",
+                "options": [
+                  "cosine",
+                  "dot_product",
+                  "euclidean"
+                ],
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "namespace": {
+                "advanced": true,
+                "display_name": "Namespace",
+                "dynamic": false,
+                "info": "Optional namespace within Astra DB to use for the collection.",
+                "list": false,
+                "load_from_db": false,
+                "name": "namespace",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "number_of_results": {
+                "advanced": true,
+                "display_name": "Number of Results",
+                "dynamic": false,
+                "info": "Number of results to return.",
+                "list": false,
+                "name": "number_of_results",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": 4
+              },
+              "pre_delete_collection": {
+                "advanced": true,
+                "display_name": "Pre Delete Collection",
+                "dynamic": false,
+                "info": "Boolean flag to determine whether to delete the collection before creating a new one.",
+                "list": false,
+                "name": "pre_delete_collection",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "bool",
+                "value": false
+              },
+              "search_input": {
+                "advanced": false,
+                "display_name": "Search Input",
+                "dynamic": false,
+                "info": "",
+                "input_types": [
+                  "Message",
+                  "str"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "search_input",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "search_type": {
+                "advanced": false,
+                "display_name": "Search Type",
+                "dynamic": false,
+                "info": "",
+                "name": "search_type",
+                "options": [
+                  "Similarity",
+                  "MMR"
+                ],
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "Similarity"
+              },
+              "setup_mode": {
+                "advanced": true,
+                "display_name": "Setup Mode",
+                "dynamic": false,
+                "info": "Configuration mode for setting up the vector store, with options like 'Sync', 'Async', or 'Off'.",
+                "name": "setup_mode",
+                "options": [
+                  "Sync",
+                  "Async",
+                  "Off"
+                ],
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "Sync"
+              },
+              "token": {
+                "advanced": false,
+                "display_name": "Astra DB Application Token",
+                "dynamic": false,
+                "info": "Authentication token for accessing Astra DB.",
+                "input_types": [],
+                "load_from_db": false,
+                "name": "token",
+                "password": true,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "vector_store_inputs": {
+                "advanced": false,
+                "display_name": "Vector Store Inputs",
+                "dynamic": false,
+                "info": "",
+                "input_types": [
+                  "Document",
+                  "Data"
+                ],
+                "list": true,
+                "name": "vector_store_inputs",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "other",
+                "value": ""
+              }
+            }
+          },
+          "type": "AstraDB"
+        },
+        "selected": false,
+        "width": 384,
+        "height": 917,
+        "positionAbsolute": {
+          "x": 2773.0562333179937,
+          "y": 1160.0660495763536
+        },
+        "dragging": false
+      },
+      {
+        "id": "OpenAIEmbeddings-PQc6x",
+        "type": "genericNode",
+        "position": {
+          "x": 1992.590633037642,
+          "y": 1850.2707576021312
+        },
+        "data": {
+          "id": "OpenAIEmbeddings-PQc6x",
+          "node": {
+            "base_classes": [
+              "Embeddings"
+            ],
+            "beta": false,
+            "custom_fields": {
+              "allowed_special": null,
+              "chunk_size": null,
+              "client": null,
+              "default_headers": null,
+              "default_query": null,
+              "deployment": null,
+              "disallowed_special": null,
+              "embedding_ctx_length": null,
+              "max_retries": null,
+              "model": null,
+              "model_kwargs": null,
+              "openai_api_base": null,
+              "openai_api_key": null,
+              "openai_api_type": null,
+              "openai_api_version": null,
+              "openai_organization": null,
+              "openai_proxy": null,
+              "request_timeout": null,
+              "show_progress_bar": null,
+              "skip_empty": null,
+              "tiktoken_enable": null,
+              "tiktoken_model_name": null
+            },
+            "description": "Generate embeddings using OpenAI models.",
+            "display_name": "OpenAI Embeddings",
+            "documentation": "",
+            "field_formatters": {},
+            "field_order": [],
+            "frozen": false,
+            "icon": "OpenAI",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Embeddings",
+                "hidden": false,
+                "method": "build_embeddings",
+                "name": "embeddings",
+                "selected": "Embeddings",
+                "types": [
+                  "Embeddings"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "template": {
+              "_type": "Component",
+              "chunk_size": {
+                "advanced": true,
+                "display_name": "Chunk Size",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "chunk_size",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": 1000
+              },
+              "client": {
+                "advanced": true,
+                "display_name": "Client",
+                "dynamic": false,
+                "info": "",
+                "input_types": [
+                  "Message",
+                  "str"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "client",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "from langchain_openai.embeddings.base import OpenAIEmbeddings\n\nfrom langflow.base.embeddings.model import LCEmbeddingsModel\nfrom langflow.field_typing import Embeddings\nfrom langflow.io import BoolInput, DictInput, DropdownInput, FloatInput, IntInput, SecretStrInput, MessageTextInput\n\n\nclass OpenAIEmbeddingsComponent(LCEmbeddingsModel):\n    display_name = \"OpenAI Embeddings\"\n    description = \"Generate embeddings using OpenAI models.\"\n    icon = \"OpenAI\"\n    inputs = [\n        DictInput(\n            name=\"default_headers\",\n            display_name=\"Default Headers\",\n            advanced=True,\n            info=\"Default headers to use for the API request.\",\n        ),\n        DictInput(\n            name=\"default_query\",\n            display_name=\"Default Query\",\n            advanced=True,\n            info=\"Default query parameters to use for the API request.\",\n        ),\n        IntInput(name=\"chunk_size\", display_name=\"Chunk Size\", advanced=True, value=1000),\n        MessageTextInput(name=\"client\", display_name=\"Client\", advanced=True),\n        MessageTextInput(name=\"deployment\", display_name=\"Deployment\", advanced=True),\n        IntInput(name=\"embedding_ctx_length\", display_name=\"Embedding Context Length\", advanced=True, value=1536),\n        IntInput(name=\"max_retries\", display_name=\"Max Retries\", value=3, advanced=True),\n        DropdownInput(\n            name=\"model\",\n            display_name=\"Model\",\n            advanced=False,\n            options=[\n                \"text-embedding-3-small\",\n                \"text-embedding-3-large\",\n                \"text-embedding-ada-002\",\n            ],\n            value=\"text-embedding-3-small\",\n        ),\n        DictInput(name=\"model_kwargs\", display_name=\"Model Kwargs\", advanced=True),\n        SecretStrInput(name=\"openai_api_base\", display_name=\"OpenAI API Base\", advanced=True),\n        SecretStrInput(name=\"openai_api_key\", display_name=\"OpenAI API Key\"),\n        SecretStrInput(name=\"openai_api_type\", display_name=\"OpenAI API Type\", advanced=True),\n        MessageTextInput(name=\"openai_api_version\", display_name=\"OpenAI API Version\", advanced=True),\n        MessageTextInput(\n            name=\"openai_organization\",\n            display_name=\"OpenAI Organization\",\n            advanced=True,\n        ),\n        MessageTextInput(name=\"openai_proxy\", display_name=\"OpenAI Proxy\", advanced=True),\n        FloatInput(name=\"request_timeout\", display_name=\"Request Timeout\", advanced=True),\n        BoolInput(name=\"show_progress_bar\", display_name=\"Show Progress Bar\", advanced=True),\n        BoolInput(name=\"skip_empty\", display_name=\"Skip Empty\", advanced=True),\n        MessageTextInput(\n            name=\"tiktoken_model_name\",\n            display_name=\"TikToken Model Name\",\n            advanced=True,\n        ),\n        BoolInput(\n            name=\"tiktoken_enable\",\n            display_name=\"TikToken Enable\",\n            advanced=True,\n            value=True,\n            info=\"If False, you must have transformers installed.\",\n        ),\n    ]\n\n    def build_embeddings(self) -> Embeddings:\n        return OpenAIEmbeddings(\n            tiktoken_enabled=self.tiktoken_enable,\n            default_headers=self.default_headers,\n            default_query=self.default_query,\n            allowed_special=\"all\",\n            disallowed_special=\"all\",\n            chunk_size=self.chunk_size,\n            deployment=self.deployment,\n            embedding_ctx_length=self.embedding_ctx_length,\n            max_retries=self.max_retries,\n            model=self.model,\n            model_kwargs=self.model_kwargs,\n            base_url=self.openai_api_base,\n            api_key=self.openai_api_key,\n            openai_api_type=self.openai_api_type,\n            api_version=self.openai_api_version,\n            organization=self.openai_organization,\n            openai_proxy=self.openai_proxy,\n            timeout=self.request_timeout or None,\n            show_progress_bar=self.show_progress_bar,\n            skip_empty=self.skip_empty,\n            tiktoken_model_name=self.tiktoken_model_name,\n        )\n"
+              },
+              "default_headers": {
+                "advanced": true,
+                "display_name": "Default Headers",
+                "dynamic": false,
+                "info": "Default headers to use for the API request.",
+                "list": false,
+                "name": "default_headers",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "dict",
+                "value": {}
+              },
+              "default_query": {
+                "advanced": true,
+                "display_name": "Default Query",
+                "dynamic": false,
+                "info": "Default query parameters to use for the API request.",
+                "list": false,
+                "name": "default_query",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "dict",
+                "value": {}
+              },
+              "deployment": {
+                "advanced": true,
+                "display_name": "Deployment",
+                "dynamic": false,
+                "info": "",
+                "input_types": [
+                  "Message",
+                  "str"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "deployment",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "embedding_ctx_length": {
+                "advanced": true,
+                "display_name": "Embedding Context Length",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "embedding_ctx_length",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": 1536
+              },
+              "max_retries": {
+                "advanced": true,
+                "display_name": "Max Retries",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "max_retries",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": 3
+              },
+              "model": {
+                "advanced": false,
+                "display_name": "Model",
+                "dynamic": false,
+                "info": "",
+                "name": "model",
+                "options": [
+                  "text-embedding-3-small",
+                  "text-embedding-3-large",
+                  "text-embedding-ada-002"
+                ],
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "text-embedding-3-small"
+              },
+              "model_kwargs": {
+                "advanced": true,
+                "display_name": "Model Kwargs",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "model_kwargs",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "dict",
+                "value": {}
+              },
+              "openai_api_base": {
+                "advanced": true,
+                "display_name": "OpenAI API Base",
+                "dynamic": false,
+                "info": "",
+                "input_types": [],
+                "load_from_db": true,
+                "name": "openai_api_base",
+                "password": true,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "openai_api_key": {
+                "advanced": false,
+                "display_name": "OpenAI API Key",
+                "dynamic": false,
+                "info": "",
+                "input_types": [],
+                "load_from_db": false,
+                "name": "openai_api_key",
+                "password": true,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "openai_api_type": {
+                "advanced": true,
+                "display_name": "OpenAI API Type",
+                "dynamic": false,
+                "info": "",
+                "input_types": [],
+                "load_from_db": true,
+                "name": "openai_api_type",
+                "password": true,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "openai_api_version": {
+                "advanced": true,
+                "display_name": "OpenAI API Version",
+                "dynamic": false,
+                "info": "",
+                "input_types": [
+                  "Message",
+                  "str"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "openai_api_version",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "openai_organization": {
+                "advanced": true,
+                "display_name": "OpenAI Organization",
+                "dynamic": false,
+                "info": "",
+                "input_types": [
+                  "Message",
+                  "str"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "openai_organization",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "openai_proxy": {
+                "advanced": true,
+                "display_name": "OpenAI Proxy",
+                "dynamic": false,
+                "info": "",
+                "input_types": [
+                  "Message",
+                  "str"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "openai_proxy",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "request_timeout": {
+                "advanced": true,
+                "display_name": "Request Timeout",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "request_timeout",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "float",
+                "value": ""
+              },
+              "show_progress_bar": {
+                "advanced": true,
+                "display_name": "Show Progress Bar",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "show_progress_bar",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "bool",
+                "value": false
+              },
+              "skip_empty": {
+                "advanced": true,
+                "display_name": "Skip Empty",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "skip_empty",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "bool",
+                "value": false
+              },
+              "tiktoken_enable": {
+                "advanced": true,
+                "display_name": "TikToken Enable",
+                "dynamic": false,
+                "info": "If False, you must have transformers installed.",
+                "list": false,
+                "name": "tiktoken_enable",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "bool",
+                "value": true
+              },
+              "tiktoken_model_name": {
+                "advanced": true,
+                "display_name": "TikToken Model Name",
+                "dynamic": false,
+                "info": "",
+                "input_types": [
+                  "Message",
+                  "str"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "tiktoken_model_name",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              }
+            }
+          },
+          "type": "OpenAIEmbeddings"
+        },
+        "selected": true,
+        "width": 384,
+        "height": 395,
+        "positionAbsolute": {
+          "x": 1992.590633037642,
+          "y": 1850.2707576021312
+        },
+        "dragging": true
+      }
+    ],
+    "edges": [
+      {
+        "className": "",
+        "data": {
+          "sourceHandle": {
+            "dataType": "ChatInput",
+            "id": "ChatInput-8ZRjI",
+            "name": "message",
+            "output_types": [
+              "Message"
+            ]
+          },
+          "targetHandle": {
+            "fieldName": "search_input",
+            "id": "AstraDB-p6135",
+            "inputTypes": [
+              "Message",
+              "str"
+            ],
+            "type": "str"
+          }
+        },
+        "id": "reactflow__edge-ChatInput-8ZRjI{œdataTypeœ:œChatInputœ,œidœ:œChatInput-8ZRjIœ,œnameœ:œmessageœ,œoutput_typesœ:[œMessageœ]}-AstraDB-p6135{œfieldNameœ:œsearch_inputœ,œidœ:œAstraDB-p6135œ,œinputTypesœ:[œMessageœ,œstrœ],œtypeœ:œstrœ}",
+        "selected": false,
+        "source": "ChatInput-8ZRjI",
+        "sourceHandle": "{œdataTypeœ:œChatInputœ,œidœ:œChatInput-8ZRjIœ,œnameœ:œmessageœ,œoutput_typesœ:[œMessageœ]}",
+        "target": "AstraDB-p6135",
+        "targetHandle": "{œfieldNameœ:œsearch_inputœ,œidœ:œAstraDB-p6135œ,œinputTypesœ:[œMessageœ,œstrœ],œtypeœ:œstrœ}"
+      },
+      {
+        "className": "",
+        "data": {
+          "sourceHandle": {
+            "dataType": "OpenAIEmbeddings",
+            "id": "OpenAIEmbeddings-hNOwh",
+            "name": "embeddings",
+            "output_types": [
+              "Embeddings"
+            ]
+          },
+          "targetHandle": {
+            "fieldName": "embedding",
+            "id": "AstraDB-p6135",
+            "inputTypes": [
+              "Embeddings"
+            ],
+            "type": "other"
+          }
+        },
+        "id": "reactflow__edge-OpenAIEmbeddings-hNOwh{œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-hNOwhœ,œnameœ:œembeddingsœ,œoutput_typesœ:[œEmbeddingsœ]}-AstraDB-p6135{œfieldNameœ:œembeddingœ,œidœ:œAstraDB-p6135œ,œinputTypesœ:[œEmbeddingsœ],œtypeœ:œotherœ}",
+        "selected": false,
+        "source": "OpenAIEmbeddings-hNOwh",
+        "sourceHandle": "{œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-hNOwhœ,œnameœ:œembeddingsœ,œoutput_typesœ:[œEmbeddingsœ]}",
+        "target": "AstraDB-p6135",
+        "targetHandle": "{œfieldNameœ:œembeddingœ,œidœ:œAstraDB-p6135œ,œinputTypesœ:[œEmbeddingsœ],œtypeœ:œotherœ}"
+      },
+      {
+        "className": "",
+        "data": {
+          "sourceHandle": {
+            "dataType": "AstraDB",
+            "id": "AstraDB-p6135",
+            "name": "search_results",
+            "output_types": [
+              "Data"
+            ]
+          },
+          "targetHandle": {
+            "fieldName": "data",
+            "id": "ParseData-9DrmC",
+            "inputTypes": [
+              "Data"
+            ],
+            "type": "other"
+          }
+        },
+        "id": "reactflow__edge-AstraDB-p6135{œdataTypeœ:œAstraDBœ,œidœ:œAstraDB-p6135œ,œnameœ:œsearch_resultsœ,œoutput_typesœ:[œDataœ]}-ParseData-9DrmC{œfieldNameœ:œdataœ,œidœ:œParseData-9DrmCœ,œinputTypesœ:[œDataœ],œtypeœ:œotherœ}",
+        "selected": false,
+        "source": "AstraDB-p6135",
+        "sourceHandle": "{œdataTypeœ:œAstraDBœ,œidœ:œAstraDB-p6135œ,œnameœ:œsearch_resultsœ,œoutput_typesœ:[œDataœ]}",
+        "target": "ParseData-9DrmC",
+        "targetHandle": "{œfieldNameœ:œdataœ,œidœ:œParseData-9DrmCœ,œinputTypesœ:[œDataœ],œtypeœ:œotherœ}"
+      },
+      {
+        "className": "",
+        "data": {
+          "sourceHandle": {
+            "dataType": "ChatInput",
+            "id": "ChatInput-8ZRjI",
+            "name": "message",
+            "output_types": [
+              "Message"
+            ]
+          },
+          "targetHandle": {
+            "fieldName": "question",
+            "id": "Prompt-EEXgw",
+            "inputTypes": [
+              "Message",
+              "Text"
+            ],
+            "type": "str"
+          }
+        },
+        "id": "reactflow__edge-ChatInput-8ZRjI{œdataTypeœ:œChatInputœ,œidœ:œChatInput-8ZRjIœ,œnameœ:œmessageœ,œoutput_typesœ:[œMessageœ]}-Prompt-EEXgw{œfieldNameœ:œquestionœ,œidœ:œPrompt-EEXgwœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}",
+        "source": "ChatInput-8ZRjI",
+        "sourceHandle": "{œdataTypeœ:œChatInputœ,œidœ:œChatInput-8ZRjIœ,œnameœ:œmessageœ,œoutput_typesœ:[œMessageœ]}",
+        "target": "Prompt-EEXgw",
+        "targetHandle": "{œfieldNameœ:œquestionœ,œidœ:œPrompt-EEXgwœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}"
+      },
+      {
+        "className": "",
+        "data": {
+          "sourceHandle": {
+            "dataType": "File",
+            "id": "File-p2YBf",
+            "name": "data",
+            "output_types": [
+              "Data"
+            ]
+          },
+          "targetHandle": {
+            "fieldName": "data_inputs",
+            "id": "SplitText-qI0jS",
+            "inputTypes": [
+              "Data"
+            ],
+            "type": "other"
+          }
+        },
+        "id": "reactflow__edge-File-p2YBf{œdataTypeœ:œFileœ,œidœ:œFile-p2YBfœ,œnameœ:œdataœ,œoutput_typesœ:[œDataœ]}-SplitText-qI0jS{œfieldNameœ:œdata_inputsœ,œidœ:œSplitText-qI0jSœ,œinputTypesœ:[œDataœ],œtypeœ:œotherœ}",
+        "source": "File-p2YBf",
+        "sourceHandle": "{œdataTypeœ:œFileœ,œidœ:œFile-p2YBfœ,œnameœ:œdataœ,œoutput_typesœ:[œDataœ]}",
+        "target": "SplitText-qI0jS",
+        "targetHandle": "{œfieldNameœ:œdata_inputsœ,œidœ:œSplitText-qI0jSœ,œinputTypesœ:[œDataœ],œtypeœ:œotherœ}",
+        "selected": false
+      },
+      {
+        "className": "",
+        "data": {
+          "sourceHandle": {
+            "dataType": "ParseData",
+            "id": "ParseData-9DrmC",
+            "name": "text",
+            "output_types": [
+              "Message"
+            ]
+          },
+          "targetHandle": {
+            "fieldName": "context",
+            "id": "Prompt-EEXgw",
+            "inputTypes": [
+              "Message",
+              "Text"
+            ],
+            "type": "str"
+          }
+        },
+        "id": "reactflow__edge-ParseData-9DrmC{œdataTypeœ:œParseDataœ,œidœ:œParseData-9DrmCœ,œnameœ:œtextœ,œoutput_typesœ:[œMessageœ]}-Prompt-EEXgw{œfieldNameœ:œcontextœ,œidœ:œPrompt-EEXgwœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}",
+        "source": "ParseData-9DrmC",
+        "sourceHandle": "{œdataTypeœ:œParseDataœ,œidœ:œParseData-9DrmCœ,œnameœ:œtextœ,œoutput_typesœ:[œMessageœ]}",
+        "target": "Prompt-EEXgw",
+        "targetHandle": "{œfieldNameœ:œcontextœ,œidœ:œPrompt-EEXgwœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}"
+      },
+      {
+        "className": "",
+        "data": {
+          "sourceHandle": {
+            "dataType": "Prompt",
+            "id": "Prompt-EEXgw",
+            "name": "prompt",
+            "output_types": [
+              "Message"
+            ]
+          },
+          "targetHandle": {
+            "fieldName": "input_value",
+            "id": "OpenAIModel-euVNy",
+            "inputTypes": [
+              "Message"
+            ],
+            "type": "str"
+          }
+        },
+        "id": "reactflow__edge-Prompt-EEXgw{œdataTypeœ:œPromptœ,œidœ:œPrompt-EEXgwœ,œnameœ:œpromptœ,œoutput_typesœ:[œMessageœ]}-OpenAIModel-euVNy{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-euVNyœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
+        "source": "Prompt-EEXgw",
+        "sourceHandle": "{œdataTypeœ:œPromptœ,œidœ:œPrompt-EEXgwœ,œnameœ:œpromptœ,œoutput_typesœ:[œMessageœ]}",
+        "target": "OpenAIModel-euVNy",
+        "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-euVNyœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}"
+      },
+      {
+        "className": "",
+        "data": {
+          "sourceHandle": {
+            "dataType": "OpenAIModel",
+            "id": "OpenAIModel-euVNy",
+            "name": "text_output",
+            "output_types": [
+              "Message"
+            ]
+          },
+          "targetHandle": {
+            "fieldName": "input_value",
+            "id": "ChatOutput-1eddV",
+            "inputTypes": [
+              "Message"
+            ],
+            "type": "str"
+          }
+        },
+        "id": "reactflow__edge-OpenAIModel-euVNy{œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-euVNyœ,œnameœ:œtext_outputœ,œoutput_typesœ:[œMessageœ]}-ChatOutput-1eddV{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-1eddVœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
+        "source": "OpenAIModel-euVNy",
+        "sourceHandle": "{œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-euVNyœ,œnameœ:œtext_outputœ,œoutput_typesœ:[œMessageœ]}",
+        "target": "ChatOutput-1eddV",
+        "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-1eddVœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}"
+      },
+      {
+        "className": "",
+        "data": {
+          "sourceHandle": {
+            "dataType": "SplitText",
+            "id": "SplitText-qI0jS",
+            "name": "chunks",
+            "output_types": [
+              "Data"
+            ]
+          },
+          "targetHandle": {
+            "fieldName": "vector_store_inputs",
+            "id": "AstraDB-AX2Xz",
+            "inputTypes": [
+              "Document",
+              "Data"
+            ],
+            "type": "other"
+          }
+        },
+        "source": "SplitText-qI0jS",
+        "sourceHandle": "{œdataTypeœ:œSplitTextœ,œidœ:œSplitText-qI0jSœ,œnameœ:œchunksœ,œoutput_typesœ:[œDataœ]}",
+        "target": "AstraDB-AX2Xz",
+        "targetHandle": "{œfieldNameœ:œvector_store_inputsœ,œidœ:œAstraDB-AX2Xzœ,œinputTypesœ:[œDocumentœ,œDataœ],œtypeœ:œotherœ}",
+        "id": "reactflow__edge-SplitText-qI0jS{œdataTypeœ:œSplitTextœ,œidœ:œSplitText-qI0jSœ,œnameœ:œchunksœ,œoutput_typesœ:[œDataœ]}-AstraDB-AX2Xz{œfieldNameœ:œvector_store_inputsœ,œidœ:œAstraDB-AX2Xzœ,œinputTypesœ:[œDocumentœ,œDataœ],œtypeœ:œotherœ}",
+        "selected": false
+      },
+      {
+        "source": "OpenAIEmbeddings-PQc6x",
+        "sourceHandle": "{œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-PQc6xœ,œnameœ:œembeddingsœ,œoutput_typesœ:[œEmbeddingsœ]}",
+        "target": "AstraDB-AX2Xz",
+        "targetHandle": "{œfieldNameœ:œembeddingœ,œidœ:œAstraDB-AX2Xzœ,œinputTypesœ:[œEmbeddingsœ],œtypeœ:œotherœ}",
+        "data": {
+          "targetHandle": {
+            "fieldName": "embedding",
+            "id": "AstraDB-AX2Xz",
+            "inputTypes": [
+              "Embeddings"
+            ],
+            "type": "other"
+          },
+          "sourceHandle": {
+            "dataType": "OpenAIEmbeddings",
+            "id": "OpenAIEmbeddings-PQc6x",
+            "name": "embeddings",
+            "output_types": [
+              "Embeddings"
+            ]
+          }
+        },
+        "id": "reactflow__edge-OpenAIEmbeddings-PQc6x{œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-PQc6xœ,œnameœ:œembeddingsœ,œoutput_typesœ:[œEmbeddingsœ]}-AstraDB-AX2Xz{œfieldNameœ:œembeddingœ,œidœ:œAstraDB-AX2Xzœ,œinputTypesœ:[œEmbeddingsœ],œtypeœ:œotherœ}",
+        "selected": false
+      }
+    ],
+    "viewport": {
+      "x": -173.2239134973895,
+      "y": 90.45548562382544,
+      "zoom": 0.32281188532359306
+    }
+  },
+  "description": "Visit https://docs.langflow.org/tutorials/rag-with-astradb for a detailed guide of this project.\nThis project give you both Ingestion and RAG in a single file. You'll need to visit https://astra.datastax.com/ to create an Astra DB instance, your Token and grab an API Endpoint.\nRunning this project requires you to add a file in the Files component, then define a Collection Name and click on the Play icon on the Astra DB component. \n\nAfter the ingestion ends you are ready to click on the Run button at the lower left corner and start asking questions about your data.",
+  "name": "Vector Store RAG",
+  "last_tested_version": "1.0.0rc1",
+  "endpoint_name": null,
+  "is_component": false
+}
\ No newline at end of file
diff --git a/docs/static/img/add-component-to-store.png b/docs/static/img/add-component-to-store.png
new file mode 100644
index 00000000000..2ccb0a0469a
Binary files /dev/null and b/docs/static/img/add-component-to-store.png differ
diff --git a/docs/static/img/add-new-variable.png b/docs/static/img/add-new-variable.png
new file mode 100644
index 00000000000..178cab67c0e
Binary files /dev/null and b/docs/static/img/add-new-variable.png differ
diff --git a/docs/static/img/api-window.png b/docs/static/img/api-window.png
new file mode 100644
index 00000000000..47790433feb
Binary files /dev/null and b/docs/static/img/api-window.png differ
diff --git a/docs/static/img/astra-configure-deployment.png b/docs/static/img/astra-configure-deployment.png
new file mode 100644
index 00000000000..803f150d1de
Binary files /dev/null and b/docs/static/img/astra-configure-deployment.png differ
diff --git a/docs/static/img/astra-create-database.png b/docs/static/img/astra-create-database.png
new file mode 100644
index 00000000000..96e7f15c862
Binary files /dev/null and b/docs/static/img/astra-create-database.png differ
diff --git a/docs/static/img/astra-generate-token.png b/docs/static/img/astra-generate-token.png
new file mode 100644
index 00000000000..b4131049154
Binary files /dev/null and b/docs/static/img/astra-generate-token.png differ
diff --git a/docs/static/img/astra-ingestion-fields.png b/docs/static/img/astra-ingestion-fields.png
new file mode 100644
index 00000000000..e19c65e1992
Binary files /dev/null and b/docs/static/img/astra-ingestion-fields.png differ
diff --git a/docs/static/img/astra-ingestion-flow-dark.png b/docs/static/img/astra-ingestion-flow-dark.png
new file mode 100644
index 00000000000..86b77806b8e
Binary files /dev/null and b/docs/static/img/astra-ingestion-flow-dark.png differ
diff --git a/docs/static/img/astra-ingestion-flow.png b/docs/static/img/astra-ingestion-flow.png
new file mode 100644
index 00000000000..8ee2567bcd3
Binary files /dev/null and b/docs/static/img/astra-ingestion-flow.png differ
diff --git a/docs/static/img/astra-ingestion-run.png b/docs/static/img/astra-ingestion-run.png
new file mode 100644
index 00000000000..2476e54f92b
Binary files /dev/null and b/docs/static/img/astra-ingestion-run.png differ
diff --git a/docs/static/img/astra-rag-flow-dark.png b/docs/static/img/astra-rag-flow-dark.png
new file mode 100644
index 00000000000..60482e09aad
Binary files /dev/null and b/docs/static/img/astra-rag-flow-dark.png differ
diff --git a/docs/static/img/astra-rag-flow-interaction-panel-interaction.png b/docs/static/img/astra-rag-flow-interaction-panel-interaction.png
new file mode 100644
index 00000000000..4f87704bedf
Binary files /dev/null and b/docs/static/img/astra-rag-flow-interaction-panel-interaction.png differ
diff --git a/docs/static/img/astra-rag-flow-interaction-panel.png b/docs/static/img/astra-rag-flow-interaction-panel.png
new file mode 100644
index 00000000000..6e106b316c5
Binary files /dev/null and b/docs/static/img/astra-rag-flow-interaction-panel.png differ
diff --git a/docs/static/img/astra-rag-flow-run.png b/docs/static/img/astra-rag-flow-run.png
new file mode 100644
index 00000000000..b95b8a43181
Binary files /dev/null and b/docs/static/img/astra-rag-flow-run.png differ
diff --git a/docs/static/img/astra-rag-flow.png b/docs/static/img/astra-rag-flow.png
new file mode 100644
index 00000000000..fab8e2a44c3
Binary files /dev/null and b/docs/static/img/astra-rag-flow.png differ
diff --git a/docs/static/img/basic-prompting.png b/docs/static/img/basic-prompting.png
new file mode 100644
index 00000000000..b56696f44e5
Binary files /dev/null and b/docs/static/img/basic-prompting.png differ
diff --git a/docs/static/img/blog-writer.png b/docs/static/img/blog-writer.png
new file mode 100644
index 00000000000..d7b0d37804e
Binary files /dev/null and b/docs/static/img/blog-writer.png differ
diff --git a/docs/static/img/chat-input-dark.png b/docs/static/img/chat-input-dark.png
new file mode 100644
index 00000000000..64f62c83120
Binary files /dev/null and b/docs/static/img/chat-input-dark.png differ
diff --git a/docs/static/img/chat-input-expanded.png b/docs/static/img/chat-input-expanded.png
new file mode 100644
index 00000000000..befe5afbd10
Binary files /dev/null and b/docs/static/img/chat-input-expanded.png differ
diff --git a/docs/static/img/chat-input-light.png b/docs/static/img/chat-input-light.png
new file mode 100644
index 00000000000..0d4c0c76ad9
Binary files /dev/null and b/docs/static/img/chat-input-light.png differ
diff --git a/docs/static/img/chat-input-with-menu.png b/docs/static/img/chat-input-with-menu.png
new file mode 100644
index 00000000000..df48a364391
Binary files /dev/null and b/docs/static/img/chat-input-with-menu.png differ
diff --git a/docs/static/img/chat-input.png b/docs/static/img/chat-input.png
new file mode 100644
index 00000000000..29605c1b1c6
Binary files /dev/null and b/docs/static/img/chat-input.png differ
diff --git a/docs/static/img/chat-memory-component.png b/docs/static/img/chat-memory-component.png
new file mode 100644
index 00000000000..3c9c7c92d85
Binary files /dev/null and b/docs/static/img/chat-memory-component.png differ
diff --git a/docs/static/img/component-menu.png b/docs/static/img/component-menu.png
new file mode 100644
index 00000000000..350e5dfbfab
Binary files /dev/null and b/docs/static/img/component-menu.png differ
diff --git a/docs/static/img/component-update.png b/docs/static/img/component-update.png
new file mode 100644
index 00000000000..88ba32d2c8a
Binary files /dev/null and b/docs/static/img/component-update.png differ
diff --git a/docs/static/img/create-variable-window.png b/docs/static/img/create-variable-window.png
new file mode 100644
index 00000000000..75c8842b5ab
Binary files /dev/null and b/docs/static/img/create-variable-window.png differ
diff --git a/docs/static/img/document-qa.png b/docs/static/img/document-qa.png
new file mode 100644
index 00000000000..b1c36eb61d5
Binary files /dev/null and b/docs/static/img/document-qa.png differ
diff --git a/docs/static/img/drag-and-drop-canvas.png b/docs/static/img/drag-and-drop-canvas.png
new file mode 100644
index 00000000000..e9a0083a79f
Binary files /dev/null and b/docs/static/img/drag-and-drop-canvas.png differ
diff --git a/docs/static/img/drag-and-drop-flow.png b/docs/static/img/drag-and-drop-flow.png
new file mode 100644
index 00000000000..3351498b2f3
Binary files /dev/null and b/docs/static/img/drag-and-drop-flow.png differ
diff --git a/docs/static/img/features.png b/docs/static/img/features.png
deleted file mode 100644
index 0e55c5a043c..00000000000
Binary files a/docs/static/img/features.png and /dev/null differ
diff --git a/docs/static/img/global-env.png b/docs/static/img/global-env.png
new file mode 100644
index 00000000000..763444dc452
Binary files /dev/null and b/docs/static/img/global-env.png differ
diff --git a/docs/static/img/hero.png b/docs/static/img/hero.png
new file mode 100644
index 00000000000..f1d76c9ca4e
Binary files /dev/null and b/docs/static/img/hero.png differ
diff --git a/docs/static/img/inspect-output.png b/docs/static/img/inspect-output.png
new file mode 100644
index 00000000000..14418f74caf
Binary files /dev/null and b/docs/static/img/inspect-output.png differ
diff --git a/docs/static/img/interaction-panel-text-input.png b/docs/static/img/interaction-panel-text-input.png
new file mode 100644
index 00000000000..77994c92483
Binary files /dev/null and b/docs/static/img/interaction-panel-text-input.png differ
diff --git a/docs/static/img/interaction-panel-with-chat-input.png b/docs/static/img/interaction-panel-with-chat-input.png
new file mode 100644
index 00000000000..c5f7c799807
Binary files /dev/null and b/docs/static/img/interaction-panel-with-chat-input.png differ
diff --git a/docs/static/img/langflow_basic_howto.gif b/docs/static/img/langflow_basic_howto.gif
new file mode 100644
index 00000000000..023a294e027
Binary files /dev/null and b/docs/static/img/langflow_basic_howto.gif differ
diff --git a/docs/static/img/langsmith-flow.png b/docs/static/img/langsmith-flow.png
new file mode 100644
index 00000000000..c7e44edd544
Binary files /dev/null and b/docs/static/img/langsmith-flow.png differ
diff --git a/docs/static/img/langsmith-trace.png b/docs/static/img/langsmith-trace.png
new file mode 100644
index 00000000000..47e007a7886
Binary files /dev/null and b/docs/static/img/langsmith-trace.png differ
diff --git a/docs/static/img/memory-chatbot.png b/docs/static/img/memory-chatbot.png
new file mode 100644
index 00000000000..53d19b49cfa
Binary files /dev/null and b/docs/static/img/memory-chatbot.png differ
diff --git a/docs/static/img/menu-options.png b/docs/static/img/menu-options.png
new file mode 100644
index 00000000000..ecfc133329b
Binary files /dev/null and b/docs/static/img/menu-options.png differ
diff --git a/docs/static/img/multiple-outputs.png b/docs/static/img/multiple-outputs.png
new file mode 100644
index 00000000000..aa96fcd18ae
Binary files /dev/null and b/docs/static/img/multiple-outputs.png differ
diff --git a/docs/static/img/my-collection.png b/docs/static/img/my-collection.png
new file mode 100644
index 00000000000..201b22a8728
Binary files /dev/null and b/docs/static/img/my-collection.png differ
diff --git a/docs/static/img/notion/AddContentToPage_flow_example.png b/docs/static/img/notion/AddContentToPage_flow_example.png
new file mode 100644
index 00000000000..31aadb080be
Binary files /dev/null and b/docs/static/img/notion/AddContentToPage_flow_example.png differ
diff --git a/docs/static/img/notion/AddContentToPage_flow_example_dark.png b/docs/static/img/notion/AddContentToPage_flow_example_dark.png
new file mode 100644
index 00000000000..0d880920955
Binary files /dev/null and b/docs/static/img/notion/AddContentToPage_flow_example_dark.png differ
diff --git a/docs/static/img/notion/NotionDatabaseProperties_flow_example.png b/docs/static/img/notion/NotionDatabaseProperties_flow_example.png
new file mode 100644
index 00000000000..6ec3d7ac183
Binary files /dev/null and b/docs/static/img/notion/NotionDatabaseProperties_flow_example.png differ
diff --git a/docs/static/img/notion/NotionDatabaseProperties_flow_example_dark.png b/docs/static/img/notion/NotionDatabaseProperties_flow_example_dark.png
new file mode 100644
index 00000000000..4d3a5a2c947
Binary files /dev/null and b/docs/static/img/notion/NotionDatabaseProperties_flow_example_dark.png differ
diff --git a/docs/static/img/notion/NotionListPages_flow_example.png b/docs/static/img/notion/NotionListPages_flow_example.png
new file mode 100644
index 00000000000..c04e3d857cf
Binary files /dev/null and b/docs/static/img/notion/NotionListPages_flow_example.png differ
diff --git a/docs/static/img/notion/NotionListPages_flow_example_dark.png b/docs/static/img/notion/NotionListPages_flow_example_dark.png
new file mode 100644
index 00000000000..ee041bde743
Binary files /dev/null and b/docs/static/img/notion/NotionListPages_flow_example_dark.png differ
diff --git a/docs/static/img/notion/NotionPageContent_flow_example.png b/docs/static/img/notion/NotionPageContent_flow_example.png
new file mode 100644
index 00000000000..5d89af12582
Binary files /dev/null and b/docs/static/img/notion/NotionPageContent_flow_example.png differ
diff --git a/docs/static/img/notion/NotionPageContent_flow_example_dark.png b/docs/static/img/notion/NotionPageContent_flow_example_dark.png
new file mode 100644
index 00000000000..144c1e0ed2d
Binary files /dev/null and b/docs/static/img/notion/NotionPageContent_flow_example_dark.png differ
diff --git a/docs/static/img/notion/NotionPageCreator_flow_example.png b/docs/static/img/notion/NotionPageCreator_flow_example.png
new file mode 100644
index 00000000000..1cc14788ad2
Binary files /dev/null and b/docs/static/img/notion/NotionPageCreator_flow_example.png differ
diff --git a/docs/static/img/notion/NotionPageCreator_flow_example_dark.png b/docs/static/img/notion/NotionPageCreator_flow_example_dark.png
new file mode 100644
index 00000000000..97788dbc0a8
Binary files /dev/null and b/docs/static/img/notion/NotionPageCreator_flow_example_dark.png differ
diff --git a/docs/static/img/notion/NotionPageUpdate_flow_example.png b/docs/static/img/notion/NotionPageUpdate_flow_example.png
new file mode 100644
index 00000000000..dd02f9bba4a
Binary files /dev/null and b/docs/static/img/notion/NotionPageUpdate_flow_example.png differ
diff --git a/docs/static/img/notion/NotionPageUpdate_flow_example_dark.png b/docs/static/img/notion/NotionPageUpdate_flow_example_dark.png
new file mode 100644
index 00000000000..bc37ff236d4
Binary files /dev/null and b/docs/static/img/notion/NotionPageUpdate_flow_example_dark.png differ
diff --git a/docs/static/img/notion/NotionSearch_flow_example.png b/docs/static/img/notion/NotionSearch_flow_example.png
new file mode 100644
index 00000000000..95e6c72a7c1
Binary files /dev/null and b/docs/static/img/notion/NotionSearch_flow_example.png differ
diff --git a/docs/static/img/notion/NotionSearch_flow_example_dark.png b/docs/static/img/notion/NotionSearch_flow_example_dark.png
new file mode 100644
index 00000000000..924aff55b56
Binary files /dev/null and b/docs/static/img/notion/NotionSearch_flow_example_dark.png differ
diff --git a/docs/static/img/notion/NotionUserList_flow_example.png b/docs/static/img/notion/NotionUserList_flow_example.png
new file mode 100644
index 00000000000..e0fbd857944
Binary files /dev/null and b/docs/static/img/notion/NotionUserList_flow_example.png differ
diff --git a/docs/static/img/notion/NotionUserList_flow_example_dark.png b/docs/static/img/notion/NotionUserList_flow_example_dark.png
new file mode 100644
index 00000000000..d59e7d9a805
Binary files /dev/null and b/docs/static/img/notion/NotionUserList_flow_example_dark.png differ
diff --git a/docs/static/img/notion/notion_bundle.jpg b/docs/static/img/notion/notion_bundle.jpg
new file mode 100644
index 00000000000..b6dc62da7bf
Binary files /dev/null and b/docs/static/img/notion/notion_bundle.jpg differ
diff --git a/docs/static/img/notion/notion_components_bundle.png b/docs/static/img/notion/notion_components_bundle.png
new file mode 100644
index 00000000000..f924ed14a65
Binary files /dev/null and b/docs/static/img/notion/notion_components_bundle.png differ
diff --git a/docs/static/img/notion/notion_components_bundle_dark.png b/docs/static/img/notion/notion_components_bundle_dark.png
new file mode 100644
index 00000000000..048646bdb5c
Binary files /dev/null and b/docs/static/img/notion/notion_components_bundle_dark.png differ
diff --git a/docs/static/img/ollama-gv.png b/docs/static/img/ollama-gv.png
new file mode 100644
index 00000000000..0ee7540ee81
Binary files /dev/null and b/docs/static/img/ollama-gv.png differ
diff --git a/docs/static/img/playground-chat.png b/docs/static/img/playground-chat.png
new file mode 100644
index 00000000000..ca9ff53e80d
Binary files /dev/null and b/docs/static/img/playground-chat.png differ
diff --git a/docs/static/img/playground-logs.png b/docs/static/img/playground-logs.png
new file mode 100644
index 00000000000..3345deb9702
Binary files /dev/null and b/docs/static/img/playground-logs.png differ
diff --git a/docs/static/img/playground-memories.png b/docs/static/img/playground-memories.png
new file mode 100644
index 00000000000..90fc00cae18
Binary files /dev/null and b/docs/static/img/playground-memories.png differ
diff --git a/docs/static/img/project-options-menu-dark.png b/docs/static/img/project-options-menu-dark.png
new file mode 100644
index 00000000000..65a62a2376f
Binary files /dev/null and b/docs/static/img/project-options-menu-dark.png differ
diff --git a/docs/static/img/project-options-menu-light.png b/docs/static/img/project-options-menu-light.png
new file mode 100644
index 00000000000..d0cc57b805e
Binary files /dev/null and b/docs/static/img/project-options-menu-light.png differ
diff --git a/docs/static/img/prompt-with-template.png b/docs/static/img/prompt-with-template.png
new file mode 100644
index 00000000000..0312b899f3d
Binary files /dev/null and b/docs/static/img/prompt-with-template.png differ
diff --git a/docs/static/img/prompt.png b/docs/static/img/prompt.png
new file mode 100644
index 00000000000..6d4260bed1d
Binary files /dev/null and b/docs/static/img/prompt.png differ
diff --git a/docs/static/img/quickstart.png b/docs/static/img/quickstart.png
new file mode 100644
index 00000000000..ff40f436b68
Binary files /dev/null and b/docs/static/img/quickstart.png differ
diff --git a/docs/static/img/runnable-executor.png b/docs/static/img/runnable-executor.png
new file mode 100644
index 00000000000..5db4b513408
Binary files /dev/null and b/docs/static/img/runnable-executor.png differ
diff --git a/docs/static/img/single-component-dark.png b/docs/static/img/single-component-dark.png
new file mode 100644
index 00000000000..825a8077cf9
Binary files /dev/null and b/docs/static/img/single-component-dark.png differ
diff --git a/docs/static/img/single-component-light.png b/docs/static/img/single-component-light.png
new file mode 100644
index 00000000000..7c0f90aa9c0
Binary files /dev/null and b/docs/static/img/single-component-light.png differ
diff --git a/docs/static/img/single-component.png b/docs/static/img/single-component.png
new file mode 100644
index 00000000000..cdfe8bc4618
Binary files /dev/null and b/docs/static/img/single-component.png differ
diff --git a/docs/static/img/text-input-expanded.png b/docs/static/img/text-input-expanded.png
new file mode 100644
index 00000000000..fe73e496c8b
Binary files /dev/null and b/docs/static/img/text-input-expanded.png differ
diff --git a/docs/static/img/text-input.png b/docs/static/img/text-input.png
new file mode 100644
index 00000000000..e8f8da24891
Binary files /dev/null and b/docs/static/img/text-input.png differ
diff --git a/docs/static/img/topnav.png b/docs/static/img/topnav.png
new file mode 100644
index 00000000000..c129156c14e
Binary files /dev/null and b/docs/static/img/topnav.png differ
diff --git a/docs/static/img/vector-store-rag.png b/docs/static/img/vector-store-rag.png
new file mode 100644
index 00000000000..b0055cdfd2e
Binary files /dev/null and b/docs/static/img/vector-store-rag.png differ
diff --git a/docs/static/img/welcome-to-langflow.png b/docs/static/img/welcome-to-langflow.png
new file mode 100644
index 00000000000..b4903e7da04
Binary files /dev/null and b/docs/static/img/welcome-to-langflow.png differ
diff --git a/docs/static/json_files/Notion_Components_bundle.json b/docs/static/json_files/Notion_Components_bundle.json
new file mode 100644
index 00000000000..5e632ad9c47
--- /dev/null
+++ b/docs/static/json_files/Notion_Components_bundle.json
@@ -0,0 +1,881 @@
+{
+  "id": "7cd51434-9767-450f-8742-27857367f8c2",
+  "data": {
+    "nodes": [
+      {
+        "id": "RecordsToText-Q69g5",
+        "type": "genericNode",
+        "position": { "x": -2671.5528488127866, "y": -963.4266471378126 },
+        "data": {
+          "type": "RecordsToText",
+          "node": {
+            "template": {
+              "code": {
+                "type": "code",
+                "required": true,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": true,
+                "value": "import requests\r\nfrom typing import List\r\n\r\nfrom langflow import CustomComponent\r\nfrom langflow.schema import Record\r\n\r\n\r\nclass NotionUserList(CustomComponent):\r\n    display_name = \"List Users [Notion]\"\r\n    description = \"Retrieve users from Notion.\"\r\n    documentation: str = \"https://docs.langflow.org/integrations/notion/list-users\"\r\n    icon = \"NotionDirectoryLoader\"\r\n    \r\n    def build_config(self):\r\n        return {\r\n            \"notion_secret\": {\r\n                \"display_name\": \"Notion Secret\",\r\n                \"field_type\": \"str\",\r\n                \"info\": \"The Notion integration token.\",\r\n                \"password\": True,\r\n            },\r\n        }\r\n\r\n    def build(\r\n        self,\r\n        notion_secret: str,\r\n    ) -> List[Record]:\r\n        url = \"https://api.notion.com/v1/users\"\r\n        headers = {\r\n            \"Authorization\": f\"Bearer {notion_secret}\",\r\n            \"Notion-Version\": \"2022-06-28\",\r\n        }\r\n\r\n        response = requests.get(url, headers=headers)\r\n        response.raise_for_status()\r\n\r\n        data = response.json()\r\n        results = data['results']\r\n\r\n        records = []\r\n        for user in results:\r\n            id = user['id']\r\n            type = user['type']\r\n            name = user.get('name', '')\r\n            avatar_url = user.get('avatar_url', '')\r\n\r\n            record_data = {\r\n                \"id\": id,\r\n                \"type\": type,\r\n                \"name\": name,\r\n                \"avatar_url\": avatar_url,\r\n            }\r\n\r\n            output = \"User:\\n\"\r\n            for key, value in record_data.items():\r\n                output += f\"{key.replace('_', ' ').title()}: {value}\\n\"\r\n            output += \"________________________\\n\"\r\n\r\n            record = Record(text=output, data=record_data)\r\n            records.append(record)\r\n\r\n        self.status = \"\\n\".join(record.text for record in records)\r\n        return records",
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "code",
+                "advanced": true,
+                "dynamic": true,
+                "info": "",
+                "load_from_db": false,
+                "title_case": false
+              },
+              "notion_secret": {
+                "type": "str",
+                "required": true,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": false,
+                "fileTypes": [],
+                "file_path": "",
+                "password": true,
+                "name": "notion_secret",
+                "display_name": "Notion Secret",
+                "advanced": false,
+                "dynamic": false,
+                "info": "The Notion integration token.",
+                "load_from_db": false,
+                "title_case": false,
+                "input_types": ["Text"],
+                "value": ""
+              },
+              "_type": "CustomComponent"
+            },
+            "description": "Retrieve users from Notion.",
+            "icon": "NotionDirectoryLoader",
+            "base_classes": ["Record"],
+            "display_name": "List Users [Notion] ",
+            "documentation": "https://docs.langflow.org/integrations/notion/list-users",
+            "custom_fields": { "notion_secret": null },
+            "output_types": ["Record"],
+            "field_formatters": {},
+            "frozen": false,
+            "field_order": [],
+            "beta": false
+          },
+          "id": "RecordsToText-Q69g5",
+          "description": "Retrieve users from Notion.",
+          "display_name": "List Users [Notion] "
+        },
+        "selected": false,
+        "width": 384,
+        "height": 289,
+        "dragging": false,
+        "positionAbsolute": {
+          "x": -2671.5528488127866,
+          "y": -963.4266471378126
+        }
+      },
+      {
+        "id": "CustomComponent-PU0K5",
+        "type": "genericNode",
+        "position": { "x": -3077.2269116193215, "y": -960.9450220159636 },
+        "data": {
+          "type": "CustomComponent",
+          "node": {
+            "template": {
+              "code": {
+                "type": "code",
+                "required": true,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": true,
+                "value": "import json\r\nfrom typing import Optional\r\n\r\nimport requests\r\nfrom langflow.custom import CustomComponent\r\n\r\n\r\nclass NotionPageCreator(CustomComponent):\r\n    display_name = \"Create Page [Notion]\"\r\n    description = \"A component for creating Notion pages.\"\r\n    documentation: str = \"https://docs.langflow.org/integrations/notion/page-create\"\r\n    icon = \"NotionDirectoryLoader\"\r\n\r\n    def build_config(self):\r\n        return {\r\n            \"database_id\": {\r\n                \"display_name\": \"Database ID\",\r\n                \"field_type\": \"str\",\r\n                \"info\": \"The ID of the Notion database.\",\r\n            },\r\n            \"notion_secret\": {\r\n                \"display_name\": \"Notion Secret\",\r\n                \"field_type\": \"str\",\r\n                \"info\": \"The Notion integration token.\",\r\n                \"password\": True,\r\n            },\r\n            \"properties\": {\r\n                \"display_name\": \"Properties\",\r\n                \"field_type\": \"str\",\r\n                \"info\": \"The properties of the new page. Depending on your database setup, this can change. E.G: {'Task name': {'id': 'title', 'type': 'title', 'title': [{'type': 'text', 'text': {'content': 'Send Notion Components to LF', 'link': null}}]}}\",\r\n            },\r\n        }\r\n\r\n    def build(\r\n        self,\r\n        database_id: str,\r\n        notion_secret: str,\r\n        properties: str = '{\"Task name\": {\"id\": \"title\", \"type\": \"title\", \"title\": [{\"type\": \"text\", \"text\": {\"content\": \"Send Notion Components to LF\", \"link\": null}}]}}',\r\n    ) -> str:\r\n        if not database_id or not properties:\r\n            raise ValueError(\"Invalid input. Please provide 'database_id' and 'properties'.\")\r\n\r\n        headers = {\r\n            \"Authorization\": f\"Bearer {notion_secret}\",\r\n            \"Content-Type\": \"application/json\",\r\n            \"Notion-Version\": \"2022-06-28\",\r\n        }\r\n\r\n        data = {\r\n            \"parent\": {\"database_id\": database_id},\r\n            \"properties\": json.loads(properties),\r\n        }\r\n\r\n        response = requests.post(\"https://api.notion.com/v1/pages\", headers=headers, json=data)\r\n\r\n        if response.status_code == 200:\r\n            page_id = response.json()[\"id\"]\r\n            self.status = f\"Successfully created Notion page with ID: {page_id}\\n {str(response.json())}\"\r\n            return response.json()\r\n        else:\r\n            error_message = f\"Failed to create Notion page. Status code: {response.status_code}, Error: {response.text}\"\r\n            self.status = error_message\r\n            raise Exception(error_message)",
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "code",
+                "advanced": true,
+                "dynamic": true,
+                "info": "",
+                "load_from_db": false,
+                "title_case": false
+              },
+              "database_id": {
+                "type": "str",
+                "required": true,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": false,
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "database_id",
+                "display_name": "Database ID",
+                "advanced": false,
+                "dynamic": false,
+                "info": "The ID of the Notion database.",
+                "load_from_db": false,
+                "title_case": false,
+                "input_types": ["Text"]
+              },
+              "notion_secret": {
+                "type": "str",
+                "required": true,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": false,
+                "fileTypes": [],
+                "file_path": "",
+                "password": true,
+                "name": "notion_secret",
+                "display_name": "Notion Secret",
+                "advanced": false,
+                "dynamic": false,
+                "info": "The Notion integration token.",
+                "load_from_db": false,
+                "title_case": false,
+                "input_types": ["Text"],
+                "value": ""
+              },
+              "properties": {
+                "type": "str",
+                "required": false,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": false,
+                "value": "{\"Task name\": {\"id\": \"title\", \"type\": \"title\", \"title\": [{\"type\": \"text\", \"text\": {\"content\": \"Send Notion Components to LF\", \"link\": null}}]}}",
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "properties",
+                "display_name": "Properties",
+                "advanced": false,
+                "dynamic": false,
+                "info": "The properties of the new page. Depending on your database setup, this can change. E.G: {'Task name': {'id': 'title', 'type': 'title', 'title': [{'type': 'text', 'text': {'content': 'Send Notion Components to LF', 'link': null}}]}}",
+                "load_from_db": false,
+                "title_case": false,
+                "input_types": ["Text"]
+              },
+              "_type": "CustomComponent"
+            },
+            "description": "A component for creating Notion pages.",
+            "icon": "NotionDirectoryLoader",
+            "base_classes": ["object", "str", "Text"],
+            "display_name": "Create Page [Notion] ",
+            "documentation": "https://docs.langflow.org/integrations/notion/page-create",
+            "custom_fields": {
+              "database_id": null,
+              "notion_secret": null,
+              "properties": null
+            },
+            "output_types": ["Text"],
+            "field_formatters": {},
+            "frozen": false,
+            "field_order": [],
+            "beta": false
+          },
+          "id": "CustomComponent-PU0K5",
+          "description": "A component for creating Notion pages.",
+          "display_name": "Create Page [Notion] "
+        },
+        "selected": false,
+        "width": 384,
+        "height": 477,
+        "positionAbsolute": {
+          "x": -3077.2269116193215,
+          "y": -960.9450220159636
+        },
+        "dragging": false
+      },
+      {
+        "id": "CustomComponent-YODla",
+        "type": "genericNode",
+        "position": { "x": -3485.297183150799, "y": -362.8525892356713 },
+        "data": {
+          "type": "CustomComponent",
+          "node": {
+            "template": {
+              "code": {
+                "type": "code",
+                "required": true,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": true,
+                "value": "import requests\r\nfrom typing import Dict\r\n\r\nfrom langflow import CustomComponent\r\nfrom langflow.schema import Record\r\n\r\n\r\nclass NotionDatabaseProperties(CustomComponent):\r\n    display_name = \"List Database Properties [Notion]\"\r\n    description = \"Retrieve properties of a Notion database.\"\r\n    documentation: str = \"https://docs.langflow.org/integrations/notion/list-database-properties\"\r\n    icon = \"NotionDirectoryLoader\"\r\n    \r\n    def build_config(self):\r\n        return {\r\n            \"database_id\": {\r\n                \"display_name\": \"Database ID\",\r\n                \"field_type\": \"str\",\r\n                \"info\": \"The ID of the Notion database.\",\r\n            },\r\n            \"notion_secret\": {\r\n                \"display_name\": \"Notion Secret\",\r\n                \"field_type\": \"str\",\r\n                \"info\": \"The Notion integration token.\",\r\n                \"password\": True,\r\n            },\r\n        }\r\n\r\n    def build(\r\n        self,\r\n        database_id: str,\r\n        notion_secret: str,\r\n    ) -> Record:\r\n        url = f\"https://api.notion.com/v1/databases/{database_id}\"\r\n        headers = {\r\n            \"Authorization\": f\"Bearer {notion_secret}\",\r\n            \"Notion-Version\": \"2022-06-28\",  # Use the latest supported version\r\n        }\r\n\r\n        response = requests.get(url, headers=headers)\r\n        response.raise_for_status()\r\n\r\n        data = response.json()\r\n        properties = data.get(\"properties\", {})\r\n\r\n        record = Record(text=str(response.json()), data=properties)\r\n        self.status = f\"Retrieved {len(properties)} properties from the Notion database.\\n {record.text}\"\r\n        return record",
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "code",
+                "advanced": true,
+                "dynamic": true,
+                "info": "",
+                "load_from_db": false,
+                "title_case": false
+              },
+              "database_id": {
+                "type": "str",
+                "required": true,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": false,
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "database_id",
+                "display_name": "Database ID",
+                "advanced": false,
+                "dynamic": false,
+                "info": "The ID of the Notion database.",
+                "load_from_db": true,
+                "title_case": false,
+                "input_types": ["Text"],
+                "value": "NOTION_NMSTX_DB_ID"
+              },
+              "notion_secret": {
+                "type": "str",
+                "required": true,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": false,
+                "fileTypes": [],
+                "file_path": "",
+                "password": true,
+                "name": "notion_secret",
+                "display_name": "Notion Secret",
+                "advanced": false,
+                "dynamic": false,
+                "info": "The Notion integration token.",
+                "load_from_db": true,
+                "title_case": false,
+                "input_types": ["Text"],
+                "value": ""
+              },
+              "_type": "CustomComponent"
+            },
+            "description": "Retrieve properties of a Notion database.",
+            "icon": "NotionDirectoryLoader",
+            "base_classes": ["Record"],
+            "display_name": "List Database Properties [Notion] ",
+            "documentation": "https://docs.langflow.org/integrations/notion/list-database-properties",
+            "custom_fields": { "database_id": null, "notion_secret": null },
+            "output_types": ["Record"],
+            "field_formatters": {},
+            "frozen": false,
+            "field_order": [],
+            "beta": false
+          },
+          "id": "CustomComponent-YODla",
+          "description": "Retrieve properties of a Notion database.",
+          "display_name": "List Database Properties [Notion] "
+        },
+        "selected": true,
+        "width": 384,
+        "height": 383,
+        "dragging": false,
+        "positionAbsolute": { "x": -3485.297183150799, "y": -362.8525892356713 }
+      },
+      {
+        "id": "CustomComponent-wHlSz",
+        "type": "genericNode",
+        "position": { "x": -2668.7714642455403, "y": -657.2376228212606 },
+        "data": {
+          "type": "CustomComponent",
+          "node": {
+            "template": {
+              "code": {
+                "type": "code",
+                "required": true,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": true,
+                "value": "import json\r\nimport requests\r\nfrom typing import Dict, Any\r\n\r\nfrom langflow import CustomComponent\r\nfrom langflow.schema import Record\r\n\r\n\r\nclass NotionPageUpdate(CustomComponent):\r\n    display_name = \"Update Page Property [Notion]\"\r\n    description = \"Update the properties of a Notion page.\"\r\n    documentation: str = \"https://docs.langflow.org/integrations/notion/page-update\"\r\n    icon = \"NotionDirectoryLoader\"\r\n\r\n    def build_config(self):\r\n        return {\r\n            \"page_id\": {\r\n                \"display_name\": \"Page ID\",\r\n                \"field_type\": \"str\",\r\n                \"info\": \"The ID of the Notion page to update.\",\r\n            },\r\n            \"properties\": {\r\n                \"display_name\": \"Properties\",\r\n                \"field_type\": \"str\",\r\n                \"info\": \"The properties to update on the page (as a JSON string).\",\r\n                \"multiline\": True,\r\n            },\r\n            \"notion_secret\": {\r\n                \"display_name\": \"Notion Secret\",\r\n                \"field_type\": \"str\",\r\n                \"info\": \"The Notion integration token.\",\r\n                \"password\": True,\r\n            },\r\n        }\r\n\r\n    def build(\r\n        self,\r\n        page_id: str,\r\n        properties: str,\r\n        notion_secret: str,\r\n    ) -> Record:\r\n        url = f\"https://api.notion.com/v1/pages/{page_id}\"\r\n        headers = {\r\n            \"Authorization\": f\"Bearer {notion_secret}\",\r\n            \"Content-Type\": \"application/json\",\r\n            \"Notion-Version\": \"2022-06-28\",  # Use the latest supported version\r\n        }\r\n\r\n        try:\r\n            parsed_properties = json.loads(properties)\r\n        except json.JSONDecodeError as e:\r\n            raise ValueError(\"Invalid JSON format for properties\") from e\r\n\r\n        data = {\r\n            \"properties\": parsed_properties\r\n        }\r\n\r\n        response = requests.patch(url, headers=headers, json=data)\r\n        response.raise_for_status()\r\n\r\n        updated_page = response.json()\r\n\r\n        output = \"Updated page properties:\\n\"\r\n        for prop_name, prop_value in updated_page[\"properties\"].items():\r\n            output += f\"{prop_name}: {prop_value}\\n\"\r\n\r\n        self.status = output\r\n        return Record(data=updated_page)",
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "code",
+                "advanced": true,
+                "dynamic": true,
+                "info": "",
+                "load_from_db": false,
+                "title_case": false
+              },
+              "notion_secret": {
+                "type": "str",
+                "required": true,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": false,
+                "fileTypes": [],
+                "file_path": "",
+                "password": true,
+                "name": "notion_secret",
+                "display_name": "Notion Secret",
+                "advanced": false,
+                "dynamic": false,
+                "info": "The Notion integration token.",
+                "load_from_db": true,
+                "title_case": false,
+                "input_types": ["Text"],
+                "value": ""
+              },
+              "page_id": {
+                "type": "str",
+                "required": true,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": false,
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "page_id",
+                "display_name": "Page ID",
+                "advanced": false,
+                "dynamic": false,
+                "info": "The ID of the Notion page to update.",
+                "load_from_db": false,
+                "title_case": false,
+                "input_types": ["Text"]
+              },
+              "properties": {
+                "type": "str",
+                "required": true,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": true,
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "properties",
+                "display_name": "Properties",
+                "advanced": false,
+                "dynamic": false,
+                "info": "The properties to update on the page (as a JSON string).",
+                "load_from_db": false,
+                "title_case": false,
+                "input_types": ["Text"],
+                "value": "{   \"title\": [     {       \"text\": {         \"content\": \"Test Page\"       }     }   ] }"
+              },
+              "_type": "CustomComponent"
+            },
+            "description": "Update the properties of a Notion page.",
+            "icon": "NotionDirectoryLoader",
+            "base_classes": ["Record"],
+            "display_name": "Update Page Property [Notion]",
+            "documentation": "https://docs.langflow.org/integrations/notion/page-update",
+            "custom_fields": {
+              "page_id": null,
+              "properties": null,
+              "notion_secret": null
+            },
+            "output_types": ["Record"],
+            "field_formatters": {},
+            "frozen": false,
+            "field_order": [],
+            "beta": false
+          },
+          "id": "CustomComponent-wHlSz",
+          "description": "Update the properties of a Notion page.",
+          "display_name": "Update Page Property [Notion]"
+        },
+        "selected": false,
+        "width": 384,
+        "height": 477,
+        "dragging": false,
+        "positionAbsolute": {
+          "x": -2668.7714642455403,
+          "y": -657.2376228212606
+        }
+      },
+      {
+        "id": "CustomComponent-oelYw",
+        "type": "genericNode",
+        "position": { "x": -2253.1007124701327, "y": -448.47240118604134 },
+        "data": {
+          "type": "CustomComponent",
+          "node": {
+            "template": {
+              "code": {
+                "type": "code",
+                "required": true,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": true,
+                "value": "import requests\r\nfrom typing import Dict, Any\r\n\r\nfrom langflow import CustomComponent\r\nfrom langflow.schema import Record\r\n\r\n\r\nclass NotionPageContent(CustomComponent):\r\n    display_name = \"Page Content Viewer [Notion]\"\r\n    description = \"Retrieve the content of a Notion page as plain text.\"\r\n    documentation: str = \"https://docs.langflow.org/integrations/notion/page-content-viewer\"\r\n    icon = \"NotionDirectoryLoader\"\r\n\r\n    def build_config(self):\r\n        return {\r\n            \"page_id\": {\r\n                \"display_name\": \"Page ID\",\r\n                \"field_type\": \"str\",\r\n                \"info\": \"The ID of the Notion page to retrieve.\",\r\n            },\r\n            \"notion_secret\": {\r\n                \"display_name\": \"Notion Secret\",\r\n                \"field_type\": \"str\",\r\n                \"info\": \"The Notion integration token.\",\r\n                \"password\": True,\r\n            },\r\n        }\r\n\r\n    def build(\r\n        self,\r\n        page_id: str,\r\n        notion_secret: str,\r\n    ) -> Record:\r\n        blocks_url = f\"https://api.notion.com/v1/blocks/{page_id}/children?page_size=100\"\r\n        headers = {\r\n            \"Authorization\": f\"Bearer {notion_secret}\",\r\n            \"Notion-Version\": \"2022-06-28\",  # Use the latest supported version\r\n        }\r\n\r\n        # Retrieve the child blocks\r\n        blocks_response = requests.get(blocks_url, headers=headers)\r\n        blocks_response.raise_for_status()\r\n        blocks_data = blocks_response.json()\r\n\r\n        # Parse the blocks and extract the content as plain text\r\n        content = self.parse_blocks(blocks_data[\"results\"])\r\n\r\n        self.status = content\r\n        return Record(data={\"content\": content}, text=content)\r\n\r\n    def parse_blocks(self, blocks: list) -> str:\r\n        content = \"\"\r\n        for block in blocks:\r\n            block_type = block[\"type\"]\r\n            if block_type in [\"paragraph\", \"heading_1\", \"heading_2\", \"heading_3\", \"quote\"]:\r\n                content += self.parse_rich_text(block[block_type][\"rich_text\"]) + \"\\n\\n\"\r\n            elif block_type in [\"bulleted_list_item\", \"numbered_list_item\"]:\r\n                content += self.parse_rich_text(block[block_type][\"rich_text\"]) + \"\\n\"\r\n            elif block_type == \"to_do\":\r\n                content += self.parse_rich_text(block[\"to_do\"][\"rich_text\"]) + \"\\n\"\r\n            elif block_type == \"code\":\r\n                content += self.parse_rich_text(block[\"code\"][\"rich_text\"]) + \"\\n\\n\"\r\n            elif block_type == \"image\":\r\n                content += f\"[Image: {block['image']['external']['url']}]\\n\\n\"\r\n            elif block_type == \"divider\":\r\n                content += \"---\\n\\n\"\r\n        return content.strip()\r\n\r\n    def parse_rich_text(self, rich_text: list) -> str:\r\n        text = \"\"\r\n        for segment in rich_text:\r\n            text += segment[\"plain_text\"]\r\n        return text",
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "code",
+                "advanced": true,
+                "dynamic": true,
+                "info": "",
+                "load_from_db": false,
+                "title_case": false
+              },
+              "notion_secret": {
+                "type": "str",
+                "required": true,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": false,
+                "fileTypes": [],
+                "file_path": "",
+                "password": true,
+                "name": "notion_secret",
+                "display_name": "Notion Secret",
+                "advanced": false,
+                "dynamic": false,
+                "info": "The Notion integration token.",
+                "load_from_db": true,
+                "title_case": false,
+                "input_types": ["Text"],
+                "value": ""
+              },
+              "page_id": {
+                "type": "str",
+                "required": true,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": false,
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "page_id",
+                "display_name": "Page ID",
+                "advanced": false,
+                "dynamic": false,
+                "info": "The ID of the Notion page to retrieve.",
+                "load_from_db": false,
+                "title_case": false,
+                "input_types": ["Text"]
+              },
+              "_type": "CustomComponent"
+            },
+            "description": "Retrieve the content of a Notion page as plain text.",
+            "icon": "NotionDirectoryLoader",
+            "base_classes": ["Record"],
+            "display_name": "Page Content Viewer [Notion] ",
+            "documentation": "https://docs.langflow.org/integrations/notion/page-content-viewer",
+            "custom_fields": { "page_id": null, "notion_secret": null },
+            "output_types": ["Record"],
+            "field_formatters": {},
+            "frozen": false,
+            "field_order": [],
+            "beta": false
+          },
+          "id": "CustomComponent-oelYw",
+          "description": "Retrieve the content of a Notion page as plain text.",
+          "display_name": "Page Content Viewer [Notion] "
+        },
+        "selected": false,
+        "width": 384,
+        "height": 383,
+        "positionAbsolute": {
+          "x": -2253.1007124701327,
+          "y": -448.47240118604134
+        },
+        "dragging": false
+      },
+      {
+        "id": "CustomComponent-Pn52w",
+        "type": "genericNode",
+        "position": { "x": -3070.9222948695096, "y": -472.4537855763852 },
+        "data": {
+          "type": "CustomComponent",
+          "node": {
+            "template": {
+              "code": {
+                "type": "code",
+                "required": true,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": true,
+                "value": "import requests\r\nimport json\r\nfrom typing import Dict, Any, List\r\nfrom langflow.custom import CustomComponent\r\nfrom langflow.schema import Record\r\n\r\nclass NotionListPages(CustomComponent):\r\n    display_name = \"List Pages [Notion]\"\r\n    description = (\r\n        \"Query a Notion database with filtering and sorting. \"\r\n        \"The input should be a JSON string containing the 'filter' and 'sorts' objects. \"\r\n        \"Example input:\\n\"\r\n        '{\"filter\": {\"property\": \"Status\", \"select\": {\"equals\": \"Done\"}}, \"sorts\": [{\"timestamp\": \"created_time\", \"direction\": \"descending\"}]}'\r\n    )\r\n    documentation: str = \"https://docs.langflow.org/integrations/notion/list-pages\"\r\n    icon = \"NotionDirectoryLoader\"\r\n\r\n    field_order = [\r\n        \"notion_secret\",\r\n        \"database_id\",\r\n        \"query_payload\",\r\n    ]\r\n\r\n    def build_config(self):\r\n        return {\r\n            \"notion_secret\": {\r\n                \"display_name\": \"Notion Secret\",\r\n                \"field_type\": \"str\",\r\n                \"info\": \"The Notion integration token.\",\r\n                \"password\": True,\r\n            },\r\n            \"database_id\": {\r\n                \"display_name\": \"Database ID\",\r\n                \"field_type\": \"str\",\r\n                \"info\": \"The ID of the Notion database to query.\",\r\n            },\r\n            \"query_payload\": {\r\n                \"display_name\": \"Database query\",\r\n                \"field_type\": \"str\",\r\n                \"info\": \"A JSON string containing the filters that will be used for querying the database. EG: {'filter': {'property': 'Status', 'status': {'equals': 'In progress'}}}\",\r\n            },\r\n        }\r\n\r\n    def build(\r\n        self,\r\n        notion_secret: str,\r\n        database_id: str,\r\n        query_payload: str = \"{}\",\r\n    ) -> List[Record]:\r\n        try:\r\n            query_data = json.loads(query_payload)\r\n            filter_obj = query_data.get(\"filter\")\r\n            sorts = query_data.get(\"sorts\", [])\r\n\r\n            url = f\"https://api.notion.com/v1/databases/{database_id}/query\"\r\n            headers = {\r\n                \"Authorization\": f\"Bearer {notion_secret}\",\r\n                \"Content-Type\": \"application/json\",\r\n                \"Notion-Version\": \"2022-06-28\",\r\n            }\r\n\r\n            data = {\r\n                \"sorts\": sorts,\r\n            }\r\n\r\n            if filter_obj:\r\n                data[\"filter\"] = filter_obj\r\n\r\n            response = requests.post(url, headers=headers, json=data)\r\n            response.raise_for_status()\r\n\r\n            results = response.json()\r\n            records = []\r\n            combined_text = f\"Pages found: {len(results['results'])}\\n\\n\"\r\n            for page in results['results']:\r\n                page_data = {\r\n                    'id': page['id'],\r\n                    'url': page['url'],\r\n                    'created_time': page['created_time'],\r\n                    'last_edited_time': page['last_edited_time'],\r\n                    'properties': page['properties'],\r\n                }\r\n\r\n                text = (\r\n                    f\"id: {page['id']}\\n\"\r\n                    f\"url: {page['url']}\\n\"\r\n                    f\"created_time: {page['created_time']}\\n\"\r\n                    f\"last_edited_time: {page['last_edited_time']}\\n\"\r\n                    f\"properties: {json.dumps(page['properties'], indent=2)}\\n\\n\"\r\n                )\r\n\r\n                combined_text += text\r\n                records.append(Record(text=text, data=page_data))\r\n            \r\n            self.status = combined_text.strip()\r\n            return records\r\n\r\n        except Exception as e:\r\n            self.status = f\"An error occurred: {str(e)}\"\r\n            return [Record(text=self.status, data=[])]",
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "code",
+                "advanced": true,
+                "dynamic": true,
+                "info": "",
+                "load_from_db": false,
+                "title_case": false
+              },
+              "database_id": {
+                "type": "str",
+                "required": true,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": false,
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "database_id",
+                "display_name": "Database ID",
+                "advanced": false,
+                "dynamic": false,
+                "info": "The ID of the Notion database to query.",
+                "load_from_db": true,
+                "title_case": false,
+                "input_types": ["Text"],
+                "value": "NOTION_NMSTX_DB_ID"
+              },
+              "notion_secret": {
+                "type": "str",
+                "required": true,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": false,
+                "fileTypes": [],
+                "file_path": "",
+                "password": true,
+                "name": "notion_secret",
+                "display_name": "Notion Secret",
+                "advanced": false,
+                "dynamic": false,
+                "info": "The Notion integration token.",
+                "load_from_db": true,
+                "title_case": false,
+                "input_types": ["Text"],
+                "value": ""
+              },
+              "query_payload": {
+                "type": "str",
+                "required": false,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": false,
+                "value": {},
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "query_payload",
+                "display_name": "Database query",
+                "advanced": false,
+                "dynamic": false,
+                "info": "A JSON string containing the filters that will be used for querying the database. EG: {'filter': {'property': 'Status', 'status': {'equals': 'In progress'}}}",
+                "load_from_db": false,
+                "title_case": false,
+                "input_types": ["Text"]
+              },
+              "_type": "CustomComponent"
+            },
+            "description": "Query a Notion database with filtering and sorting. The input should be a JSON string containing the 'filter' and 'sorts' objects. Example input:\n{\"filter\": {\"property\": \"Status\", \"select\": {\"equals\": \"Done\"}}, \"sorts\": [{\"timestamp\": \"created_time\", \"direction\": \"descending\"}]}",
+            "icon": "NotionDirectoryLoader",
+            "base_classes": ["Record"],
+            "display_name": "List Pages [Notion] ",
+            "documentation": "https://docs.langflow.org/integrations/notion/list-pages",
+            "custom_fields": {
+              "notion_secret": null,
+              "database_id": null,
+              "query_payload": null
+            },
+            "output_types": ["Record"],
+            "field_formatters": {},
+            "frozen": false,
+            "field_order": ["notion_secret", "database_id", "query_payload"],
+            "beta": false
+          },
+          "id": "CustomComponent-Pn52w",
+          "description": "Query a Notion database with filtering and sorting. The input should be a JSON string containing the 'filter' and 'sorts' objects. Example input:\n{\"filter\": {\"property\": \"Status\", \"select\": {\"equals\": \"Done\"}}, \"sorts\": [{\"timestamp\": \"created_time\", \"direction\": \"descending\"}]}",
+          "display_name": "List Pages [Notion] "
+        },
+        "selected": false,
+        "width": 384,
+        "height": 517,
+        "positionAbsolute": {
+          "x": -3070.9222948695096,
+          "y": -472.4537855763852
+        },
+        "dragging": false
+      },
+      {
+        "id": "CustomComponent-I8Dec",
+        "type": "genericNode",
+        "position": { "x": -2256.686402636563, "y": -963.4541117792749 },
+        "data": {
+          "type": "CustomComponent",
+          "node": {
+            "template": {
+              "block_id": {
+                "type": "str",
+                "required": true,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": false,
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "block_id",
+                "display_name": "Page/Block ID",
+                "advanced": false,
+                "dynamic": false,
+                "info": "The ID of the page/block to add the content.",
+                "load_from_db": false,
+                "title_case": false,
+                "input_types": ["Text"]
+              },
+              "code": {
+                "type": "code",
+                "required": true,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": true,
+                "value": "import json\r\nfrom typing import List, Dict, Any\r\nfrom markdown import markdown\r\nfrom bs4 import BeautifulSoup\r\nimport requests\r\n\r\nfrom langflow import CustomComponent\r\nfrom langflow.schema import Record\r\n\r\nclass AddContentToPage(CustomComponent):\r\n    display_name = \"Add Content to Page [Notion]\"\r\n    description = \"Convert markdown text to Notion blocks and append them to a Notion page.\"\r\n    documentation: str = \"https://developers.notion.com/reference/patch-block-children\"\r\n    icon = \"NotionDirectoryLoader\"\r\n\r\n    def build_config(self):\r\n        return {\r\n            \"markdown_text\": {\r\n                \"display_name\": \"Markdown Text\",\r\n                \"field_type\": \"str\",\r\n                \"info\": \"The markdown text to convert to Notion blocks.\",\r\n                \"multiline\": True,\r\n            },\r\n             \"block_id\": {\r\n                \"display_name\": \"Page/Block ID\",\r\n                \"field_type\": \"str\",\r\n                \"info\": \"The ID of the page/block to add the content.\",\r\n            },\r\n            \"notion_secret\": {\r\n                \"display_name\": \"Notion Secret\",\r\n                \"field_type\": \"str\",\r\n                \"info\": \"The Notion integration token.\",\r\n                \"password\": True,\r\n            },\r\n        }\r\n\r\n    def build(self, markdown_text: str, block_id: str, notion_secret: str) -> Record:\r\n        html_text = markdown(markdown_text)\r\n        soup = BeautifulSoup(html_text, 'html.parser')\r\n        blocks = self.process_node(soup)\r\n\r\n        url = f\"https://api.notion.com/v1/blocks/{block_id}/children\"\r\n        headers = {\r\n            \"Authorization\": f\"Bearer {notion_secret}\",\r\n            \"Content-Type\": \"application/json\",\r\n            \"Notion-Version\": \"2022-06-28\",\r\n        }\r\n\r\n        data = {\r\n            \"children\": blocks,\r\n        }\r\n\r\n        response = requests.patch(url, headers=headers, json=data)\r\n        self.status = str(response.json())\r\n        response.raise_for_status()\r\n\r\n        result = response.json()\r\n        self.status = f\"Appended {len(blocks)} blocks to page with ID: {block_id}\"\r\n        return Record(data=result, text=json.dumps(result))\r\n\r\n    def process_node(self, node):\r\n        blocks = []\r\n        if isinstance(node, str):\r\n            text = node.strip()\r\n            if text:\r\n                if text.startswith('#'):\r\n                    heading_level = text.count('#', 0, 6)\r\n                    heading_text = text[heading_level:].strip()\r\n                    if heading_level == 1:\r\n                        blocks.append(self.create_block('heading_1', heading_text))\r\n                    elif heading_level == 2:\r\n                        blocks.append(self.create_block('heading_2', heading_text))\r\n                    elif heading_level == 3:\r\n                        blocks.append(self.create_block('heading_3', heading_text))\r\n                else:\r\n                    blocks.append(self.create_block('paragraph', text))\r\n        elif node.name == 'h1':\r\n            blocks.append(self.create_block('heading_1', node.get_text(strip=True)))\r\n        elif node.name == 'h2':\r\n            blocks.append(self.create_block('heading_2', node.get_text(strip=True)))\r\n        elif node.name == 'h3':\r\n            blocks.append(self.create_block('heading_3', node.get_text(strip=True)))\r\n        elif node.name == 'p':\r\n            code_node = node.find('code')\r\n            if code_node:\r\n                code_text = code_node.get_text()\r\n                language, code = self.extract_language_and_code(code_text)\r\n                blocks.append(self.create_block('code', code, language=language))\r\n            elif self.is_table(str(node)):\r\n                blocks.extend(self.process_table(node))\r\n            else:\r\n                blocks.append(self.create_block('paragraph', node.get_text(strip=True)))\r\n        elif node.name == 'ul':\r\n            blocks.extend(self.process_list(node, 'bulleted_list_item'))\r\n        elif node.name == 'ol':\r\n            blocks.extend(self.process_list(node, 'numbered_list_item'))\r\n        elif node.name == 'blockquote':\r\n            blocks.append(self.create_block('quote', node.get_text(strip=True)))\r\n        elif node.name == 'hr':\r\n            blocks.append(self.create_block('divider', ''))\r\n        elif node.name == 'img':\r\n            blocks.append(self.create_block('image', '', image_url=node.get('src')))\r\n        elif node.name == 'a':\r\n            blocks.append(self.create_block('bookmark', node.get_text(strip=True), link_url=node.get('href')))\r\n        elif node.name == 'table':\r\n            blocks.extend(self.process_table(node))\r\n\r\n        for child in node.children:\r\n            if isinstance(child, str):\r\n                continue\r\n            blocks.extend(self.process_node(child))\r\n\r\n        return blocks\r\n\r\n    def extract_language_and_code(self, code_text):\r\n        lines = code_text.split('\\n')\r\n        language = lines[0].strip()\r\n        code = '\\n'.join(lines[1:]).strip()\r\n        return language, code\r\n\r\n    def is_code_block(self, text):\r\n        return text.startswith('```')\r\n\r\n    def extract_code_block(self, text):\r\n        lines = text.split('\\n')\r\n        language = lines[0].strip('`').strip()\r\n        code = '\\n'.join(lines[1:]).strip('`').strip()\r\n        return language, code\r\n    \r\n    def is_table(self, text):\r\n        rows = text.split('\\n')\r\n        if len(rows) < 2:\r\n            return False\r\n\r\n        has_separator = False\r\n        for i, row in enumerate(rows):\r\n            if '|' in row:\r\n                cells = [cell.strip() for cell in row.split('|')]\r\n                cells = [cell for cell in cells if cell]  # Remove empty cells\r\n                if i == 1 and all(set(cell) <= set('-|') for cell in cells):\r\n                    has_separator = True\r\n                elif not cells:\r\n                    return False\r\n\r\n        return has_separator and len(rows) >= 3\r\n\r\n    def process_list(self, node, list_type):\r\n        blocks = []\r\n        for item in node.find_all('li'):\r\n            item_text = item.get_text(strip=True)\r\n            checked = item_text.startswith('[x]')\r\n            is_checklist = item_text.startswith('[ ]') or checked\r\n\r\n            if is_checklist:\r\n                item_text = item_text.replace('[x]', '').replace('[ ]', '').strip()\r\n                blocks.append(self.create_block('to_do', item_text, checked=checked))\r\n            else:\r\n                blocks.append(self.create_block(list_type, item_text))\r\n        return blocks\r\n\r\n    def process_table(self, node):\r\n        blocks = []\r\n        header_row = node.find('thead').find('tr') if node.find('thead') else None\r\n        body_rows = node.find('tbody').find_all('tr') if node.find('tbody') else []\r\n\r\n        if header_row or body_rows:\r\n            table_width = max(len(header_row.find_all(['th', 'td'])) if header_row else 0,\r\n                            max(len(row.find_all(['th', 'td'])) for row in body_rows))\r\n\r\n            table_block = self.create_block('table', '', table_width=table_width, has_column_header=bool(header_row))\r\n            blocks.append(table_block)\r\n\r\n            if header_row:\r\n                header_cells = [cell.get_text(strip=True) for cell in header_row.find_all(['th', 'td'])]\r\n                header_row_block = self.create_block('table_row', header_cells)\r\n                blocks.append(header_row_block)\r\n\r\n            for row in body_rows:\r\n                cells = [cell.get_text(strip=True) for cell in row.find_all(['th', 'td'])]\r\n                row_block = self.create_block('table_row', cells)\r\n                blocks.append(row_block)\r\n\r\n        return blocks\r\n    \r\n    def create_block(self, block_type: str, content: str, **kwargs) -> Dict[str, Any]:\r\n        block = {\r\n            \"object\": \"block\",\r\n            \"type\": block_type,\r\n            block_type: {},\r\n        }\r\n\r\n        if block_type in [\"paragraph\", \"heading_1\", \"heading_2\", \"heading_3\", \"bulleted_list_item\", \"numbered_list_item\", \"quote\"]:\r\n            block[block_type][\"rich_text\"] = [\r\n                {\r\n                    \"type\": \"text\",\r\n                    \"text\": {\r\n                        \"content\": content,\r\n                    },\r\n                }\r\n            ]\r\n        elif block_type == 'to_do':\r\n            block[block_type][\"rich_text\"] = [\r\n                {\r\n                    \"type\": \"text\",\r\n                    \"text\": {\r\n                        \"content\": content,\r\n                    },\r\n                }\r\n            ]\r\n            block[block_type]['checked'] = kwargs.get('checked', False)\r\n        elif block_type == 'code':\r\n            block[block_type]['rich_text'] = [\r\n                {\r\n                    \"type\": \"text\",\r\n                    \"text\": {\r\n                        \"content\": content,\r\n                    },\r\n                }\r\n            ]\r\n            block[block_type]['language'] = kwargs.get('language', 'plain text')\r\n        elif block_type == 'image':\r\n            block[block_type] = {\r\n                \"type\": \"external\",\r\n                \"external\": {\r\n                    \"url\": kwargs.get('image_url', '')\r\n                }\r\n            }\r\n        elif block_type == 'divider':\r\n            pass\r\n        elif block_type == 'bookmark':\r\n            block[block_type]['url'] = kwargs.get('link_url', '')\r\n        elif block_type == 'table':\r\n            block[block_type]['table_width'] = kwargs.get('table_width', 0)\r\n            block[block_type]['has_column_header'] = kwargs.get('has_column_header', False)\r\n            block[block_type]['has_row_header'] = kwargs.get('has_row_header', False)\r\n        elif block_type == 'table_row':\r\n            block[block_type]['cells'] = [[{'type': 'text', 'text': {'content': cell}} for cell in content]]\r\n\r\n        return block",
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "code",
+                "advanced": true,
+                "dynamic": true,
+                "info": "",
+                "load_from_db": false,
+                "title_case": false
+              },
+              "markdown_text": {
+                "type": "str",
+                "required": true,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": true,
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "markdown_text",
+                "display_name": "Markdown Text",
+                "advanced": false,
+                "dynamic": false,
+                "info": "The markdown text to convert to Notion blocks.",
+                "load_from_db": false,
+                "title_case": false,
+                "input_types": ["Text"],
+                "value": "# Heading 1\n\n## Heading 2\n\n### Heading 3\n\nThis is a regular paragraph.\n\nHere's another paragraph with an image:\n![Image](https://example.com/image.jpg)\n\n## Checklist\n- [x] Completed task\n- [ ] Incomplete task\n- [x] Another completed task\n\n## Numbered List\n1. First item\n2. Second item\n3. Third item\n\n## Bulleted List\n- Item 1\n- Item 2\n- Item 3\n\n## Code Block\n```python\ndef hello_world():\n    print(\"Hello, World!\")\n```\n\n## Quote\n> This is a blockquote.\n> It can span multiple lines.\n\n## Horizontal Rule\n---\n\n\n## Link\n[Notion API Documentation](https://developers.notion.com)\n\n"
+              },
+              "notion_secret": {
+                "type": "str",
+                "required": true,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": false,
+                "fileTypes": [],
+                "file_path": "",
+                "password": true,
+                "name": "notion_secret",
+                "display_name": "Notion Secret",
+                "advanced": false,
+                "dynamic": false,
+                "info": "The Notion integration token.",
+                "load_from_db": true,
+                "title_case": false,
+                "input_types": ["Text"],
+                "value": ""
+              },
+              "_type": "CustomComponent"
+            },
+            "description": "Convert markdown text to Notion blocks and append them to a Notion page.",
+            "icon": "NotionDirectoryLoader",
+            "base_classes": ["Record"],
+            "display_name": "Add Content to Page [Notion] ",
+            "documentation": "https://developers.notion.com/reference/patch-block-children",
+            "custom_fields": {
+              "markdown_text": null,
+              "block_id": null,
+              "notion_secret": null
+            },
+            "output_types": ["Record"],
+            "field_formatters": {},
+            "frozen": false,
+            "field_order": [],
+            "beta": false,
+            "official": false
+          },
+          "id": "CustomComponent-I8Dec"
+        },
+        "selected": false,
+        "width": 384,
+        "height": 497,
+        "positionAbsolute": {
+          "x": -2256.686402636563,
+          "y": -963.4541117792749
+        },
+        "dragging": false
+      },
+      {
+        "id": "CustomComponent-ZcsA9",
+        "type": "genericNode",
+        "position": { "x": -3488.029350341937, "y": -965.3756250644985 },
+        "data": {
+          "type": "CustomComponent",
+          "node": {
+            "template": {
+              "code": {
+                "type": "code",
+                "required": true,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": true,
+                "value": "import requests\r\nfrom typing import Dict, Any, List\r\nfrom langflow.custom import CustomComponent\r\nfrom langflow.schema import Record\r\n\r\nclass NotionSearch(CustomComponent):\r\n    display_name = \"Search Notion\"\r\n    description = (\r\n        \"Searches all pages and databases that have been shared with an integration.\"\r\n    )\r\n    documentation: str = \"https://docs.langflow.org/integrations/notion/search\"\r\n    icon = \"NotionDirectoryLoader\"\r\n\r\n    field_order = [\r\n        \"notion_secret\",\r\n        \"query\",\r\n        \"filter_value\",\r\n        \"sort_direction\",\r\n    ]\r\n\r\n    def build_config(self):\r\n        return {\r\n            \"notion_secret\": {\r\n                \"display_name\": \"Notion Secret\",\r\n                \"field_type\": \"str\",\r\n                \"info\": \"The Notion integration token.\",\r\n                \"password\": True,\r\n            },\r\n            \"query\": {\r\n                \"display_name\": \"Search Query\",\r\n                \"field_type\": \"str\",\r\n                \"info\": \"The text that the API compares page and database titles against.\",\r\n            },\r\n            \"filter_value\": {\r\n                \"display_name\": \"Filter Type\",\r\n                \"field_type\": \"str\",\r\n                \"info\": \"Limits the results to either only pages or only databases.\",\r\n                \"options\": [\"page\", \"database\"],\r\n                \"default_value\": \"page\",\r\n            },\r\n            \"sort_direction\": {\r\n                \"display_name\": \"Sort Direction\",\r\n                \"field_type\": \"str\",\r\n                \"info\": \"The direction to sort the results.\",\r\n                \"options\": [\"ascending\", \"descending\"],\r\n                \"default_value\": \"descending\",\r\n            },\r\n        }\r\n\r\n    def build(\r\n        self,\r\n        notion_secret: str,\r\n        query: str = \"\",\r\n        filter_value: str = \"page\",\r\n        sort_direction: str = \"descending\",\r\n    ) -> List[Record]:\r\n        try:\r\n            url = \"https://api.notion.com/v1/search\"\r\n            headers = {\r\n                \"Authorization\": f\"Bearer {notion_secret}\",\r\n                \"Content-Type\": \"application/json\",\r\n                \"Notion-Version\": \"2022-06-28\",\r\n            }\r\n\r\n            data = {\r\n                \"query\": query,\r\n                \"filter\": {\r\n                    \"value\": filter_value,\r\n                    \"property\": \"object\"\r\n                },\r\n                \"sort\":{\r\n                  \"direction\": sort_direction,\r\n                  \"timestamp\": \"last_edited_time\"\r\n                }\r\n            }\r\n\r\n            response = requests.post(url, headers=headers, json=data)\r\n            response.raise_for_status()\r\n\r\n            results = response.json()\r\n            records = []\r\n            combined_text = f\"Results found: {len(results['results'])}\\n\\n\"\r\n            for result in results['results']:\r\n                result_data = {\r\n                    'id': result['id'],\r\n                    'type': result['object'],\r\n                    'last_edited_time': result['last_edited_time'],\r\n                }\r\n                \r\n                if result['object'] == 'page':\r\n                    result_data['title_or_url'] = result['url']\r\n                    text = f\"id: {result['id']}\\ntitle_or_url: {result['url']}\\n\"\r\n                elif result['object'] == 'database':\r\n                    if 'title' in result and isinstance(result['title'], list) and len(result['title']) > 0:\r\n                        result_data['title_or_url'] = result['title'][0]['plain_text']\r\n                        text = f\"id: {result['id']}\\ntitle_or_url: {result['title'][0]['plain_text']}\\n\"\r\n                    else:\r\n                        result_data['title_or_url'] = \"N/A\"\r\n                        text = f\"id: {result['id']}\\ntitle_or_url: N/A\\n\"\r\n\r\n                text += f\"type: {result['object']}\\nlast_edited_time: {result['last_edited_time']}\\n\\n\"\r\n                combined_text += text\r\n                records.append(Record(text=text, data=result_data))\r\n            \r\n            self.status = combined_text\r\n            return records\r\n\r\n        except Exception as e:\r\n            self.status = f\"An error occurred: {str(e)}\"\r\n            return [Record(text=self.status, data=[])]",
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "code",
+                "advanced": true,
+                "dynamic": true,
+                "info": "",
+                "load_from_db": false,
+                "title_case": false
+              },
+              "filter_value": {
+                "type": "str",
+                "required": false,
+                "placeholder": "",
+                "list": true,
+                "show": true,
+                "multiline": false,
+                "value": "database",
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "options": ["page", "database"],
+                "name": "filter_value",
+                "display_name": "Filter Type",
+                "advanced": false,
+                "dynamic": false,
+                "info": "Limits the results to either only pages or only databases.",
+                "load_from_db": false,
+                "title_case": false,
+                "input_types": ["Text"]
+              },
+              "notion_secret": {
+                "type": "str",
+                "required": true,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": false,
+                "fileTypes": [],
+                "file_path": "",
+                "password": true,
+                "name": "notion_secret",
+                "display_name": "Notion Secret",
+                "advanced": false,
+                "dynamic": false,
+                "info": "The Notion integration token.",
+                "load_from_db": true,
+                "title_case": false,
+                "input_types": ["Text"],
+                "value": ""
+              },
+              "query": {
+                "type": "str",
+                "required": false,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": false,
+                "value": "",
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "query",
+                "display_name": "Search Query",
+                "advanced": false,
+                "dynamic": false,
+                "info": "The text that the API compares page and database titles against.",
+                "load_from_db": false,
+                "title_case": false,
+                "input_types": ["Text"]
+              },
+              "sort_direction": {
+                "type": "str",
+                "required": false,
+                "placeholder": "",
+                "list": true,
+                "show": true,
+                "multiline": false,
+                "value": "descending",
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "options": ["ascending", "descending"],
+                "name": "sort_direction",
+                "display_name": "Sort Direction",
+                "advanced": false,
+                "dynamic": false,
+                "info": "The direction to sort the results.",
+                "load_from_db": false,
+                "title_case": false,
+                "input_types": ["Text"]
+              },
+              "_type": "CustomComponent"
+            },
+            "description": "Searches all pages and databases that have been shared with an integration.",
+            "icon": "NotionDirectoryLoader",
+            "base_classes": ["Record"],
+            "display_name": "Search [Notion]",
+            "documentation": "https://docs.langflow.org/integrations/notion/search",
+            "custom_fields": {
+              "notion_secret": null,
+              "query": null,
+              "filter_value": null,
+              "sort_direction": null
+            },
+            "output_types": ["Record"],
+            "field_formatters": {},
+            "frozen": false,
+            "field_order": [
+              "notion_secret",
+              "query",
+              "filter_value",
+              "sort_direction"
+            ],
+            "beta": false
+          },
+          "id": "CustomComponent-ZcsA9",
+          "description": "Searches all pages and databases that have been shared with an integration.",
+          "display_name": "Search [Notion]"
+        },
+        "selected": false,
+        "width": 384,
+        "height": 591,
+        "positionAbsolute": {
+          "x": -3488.029350341937,
+          "y": -965.3756250644985
+        },
+        "dragging": false
+      }
+    ],
+    "edges": [],
+    "viewport": {
+      "x": 2623.378922967084,
+      "y": 696.8541079344027,
+      "zoom": 0.5981384177708997
+    }
+  },
+  "description": "A Bundle containing Notion components for Page and Database manipulation. You can list pages, users databases, update properties, create new pages and add content to Notion Pages.",
+  "name": "Notion - Components",
+  "last_tested_version": "1.0.0a36",
+  "is_component": false
+}
diff --git a/docs/static/json_files/SearchApi_Tool.json b/docs/static/json_files/SearchApi_Tool.json
index 304f191f15e..8179d7c0723 100644
--- a/docs/static/json_files/SearchApi_Tool.json
+++ b/docs/static/json_files/SearchApi_Tool.json
@@ -1 +1,1747 @@
-{"id":"7fc56f82-3493-4742-9c85-82b144127aff","data":{"nodes":[{"id":"ChatOpenAI-4Mfuz","type":"genericNode","position":{"x":-2243.8068684913856,"y":-2026.350019258601},"data":{"type":"ChatOpenAI","node":{"template":{"callbacks":{"type":"langchain_core.callbacks.base.BaseCallbackHandler","required":false,"placeholder":"","list":true,"show":false,"multiline":false,"fileTypes":[],"password":false,"name":"callbacks","advanced":false,"dynamic":false,"info":""},"async_client":{"type":"Any","required":false,"placeholder":"","list":false,"show":false,"multiline":false,"fileTypes":[],"password":false,"name":"async_client","advanced":false,"dynamic":false,"info":""},"cache":{"type":"bool","required":false,"placeholder":"","list":false,"show":false,"multiline":false,"fileTypes":[],"password":false,"name":"cache","advanced":false,"dynamic":false,"info":""},"client":{"type":"Any","required":false,"placeholder":"","list":false,"show":false,"multiline":false,"fileTypes":[],"password":false,"name":"client","advanced":false,"dynamic":false,"info":""},"default_headers":{"type":"dict","required":false,"placeholder":"","list":false,"show":false,"multiline":false,"fileTypes":[],"password":false,"name":"default_headers","advanced":false,"dynamic":false,"info":""},"default_query":{"type":"dict","required":false,"placeholder":"","list":false,"show":false,"multiline":false,"fileTypes":[],"password":false,"name":"default_query","advanced":false,"dynamic":false,"info":""},"http_client":{"type":"Any","required":false,"placeholder":"","list":false,"show":false,"multiline":false,"fileTypes":[],"password":false,"name":"http_client","advanced":false,"dynamic":false,"info":""},"max_retries":{"type":"int","required":false,"placeholder":"","list":false,"show":false,"multiline":false,"value":2,"fileTypes":[],"password":false,"name":"max_retries","advanced":false,"dynamic":false,"info":""},"max_tokens":{"type":"int","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"fileTypes":[],"password":true,"name":"max_tokens","advanced":false,"dynamic":false,"info":"","value":""},"metadata":{"type":"dict","required":false,"placeholder":"","list":false,"show":false,"multiline":false,"fileTypes":[],"password":false,"name":"metadata","advanced":false,"dynamic":false,"info":""},"model_kwargs":{"type":"dict","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"fileTypes":[],"password":false,"name":"model_kwargs","advanced":true,"dynamic":false,"info":""},"model_name":{"type":"str","required":false,"placeholder":"","list":true,"show":true,"multiline":false,"value":"gpt-3.5-turbo-16k","fileTypes":[],"password":false,"options":["gpt-4-1106-preview","gpt-4-vision-preview","gpt-4","gpt-4-32k","gpt-3.5-turbo","gpt-3.5-turbo-16k"],"name":"model_name","advanced":false,"dynamic":false,"info":""},"n":{"type":"int","required":false,"placeholder":"","list":false,"show":false,"multiline":false,"value":1,"fileTypes":[],"password":false,"name":"n","advanced":false,"dynamic":false,"info":""},"name":{"type":"str","required":false,"placeholder":"","list":false,"show":false,"multiline":false,"fileTypes":[],"password":false,"name":"name","advanced":false,"dynamic":false,"info":""},"openai_api_base":{"type":"str","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"fileTypes":[],"password":false,"name":"openai_api_base","display_name":"OpenAI API Base","advanced":false,"dynamic":false,"info":"\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\n"},"openai_api_key":{"type":"str","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"value":"","fileTypes":[],"password":true,"name":"openai_api_key","display_name":"OpenAI API Key","advanced":false,"dynamic":false,"info":""},"openai_organization":{"type":"str","required":false,"placeholder":"","list":false,"show":false,"multiline":false,"fileTypes":[],"password":false,"name":"openai_organization","display_name":"OpenAI Organization","advanced":false,"dynamic":false,"info":""},"openai_proxy":{"type":"str","required":false,"placeholder":"","list":false,"show":false,"multiline":false,"fileTypes":[],"password":false,"name":"openai_proxy","display_name":"OpenAI Proxy","advanced":false,"dynamic":false,"info":""},"request_timeout":{"type":"float","required":false,"placeholder":"","list":false,"show":false,"multiline":false,"fileTypes":[],"password":false,"name":"request_timeout","advanced":false,"dynamic":false,"info":"","rangeSpec":{"min":-1,"max":1,"step":0.1}},"streaming":{"type":"bool","required":false,"placeholder":"","list":false,"show":false,"multiline":false,"value":false,"fileTypes":[],"password":false,"name":"streaming","advanced":false,"dynamic":false,"info":""},"tags":{"type":"str","required":false,"placeholder":"","list":true,"show":false,"multiline":false,"fileTypes":[],"password":false,"name":"tags","advanced":false,"dynamic":false,"info":""},"temperature":{"type":"float","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"value":"0.5","fileTypes":[],"password":false,"name":"temperature","advanced":false,"dynamic":false,"info":"","rangeSpec":{"min":-1,"max":1,"step":0.1}},"tiktoken_model_name":{"type":"str","required":false,"placeholder":"","list":false,"show":false,"multiline":false,"fileTypes":[],"password":false,"name":"tiktoken_model_name","advanced":false,"dynamic":false,"info":""},"verbose":{"type":"bool","required":false,"placeholder":"","list":false,"show":false,"multiline":false,"value":false,"fileTypes":[],"password":false,"name":"verbose","advanced":false,"dynamic":false,"info":""},"_type":"ChatOpenAI"},"description":"[*Deprecated*]  `OpenAI` Chat large language models API.","base_classes":["BaseLanguageModel","BaseChatModel","ChatOpenAI","BaseLLM"],"display_name":"ChatOpenAI","documentation":"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai","custom_fields":{},"output_types":[],"field_formatters":{},"beta":false},"id":"ChatOpenAI-4Mfuz"},"selected":false,"width":384,"height":649,"positionAbsolute":{"x":-2243.8068684913856,"y":-2026.350019258601},"dragging":false},{"id":"CharacterTextSplitter-WVMFU","type":"genericNode","position":{"x":-2661.4749778477553,"y":-1608.9437055023366},"data":{"type":"CharacterTextSplitter","node":{"template":{"documents":{"type":"Document","required":true,"placeholder":"","list":true,"show":true,"multiline":false,"value":"","fileTypes":[],"file_path":"","password":false,"name":"documents","advanced":false,"dynamic":false,"info":""},"chunk_overlap":{"type":"int","required":true,"placeholder":"","list":false,"show":true,"multiline":false,"value":200,"fileTypes":[],"file_path":"","password":false,"name":"chunk_overlap","display_name":"Chunk Overlap","advanced":false,"dynamic":false,"info":""},"chunk_size":{"type":"int","required":true,"placeholder":"","list":false,"show":true,"multiline":false,"value":"2000","fileTypes":[],"file_path":"","password":false,"name":"chunk_size","display_name":"Chunk Size","advanced":false,"dynamic":false,"info":""},"separator":{"type":"str","required":true,"placeholder":"","list":false,"show":true,"multiline":false,"value":"\"","fileTypes":[],"file_path":"","password":false,"name":"separator","display_name":"Separator","advanced":false,"dynamic":false,"info":""},"_type":"CharacterTextSplitter"},"description":"Splitting text that looks at characters.","base_classes":["Document"],"display_name":"CharacterTextSplitter","documentation":"https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/character_text_splitter","custom_fields":{},"output_types":["Document"],"field_formatters":{},"beta":false},"id":"CharacterTextSplitter-WVMFU"},"selected":false,"width":384,"height":501,"positionAbsolute":{"x":-2661.4749778477553,"y":-1608.9437055023366},"dragging":false},{"id":"Chroma-OtYDg","type":"genericNode","position":{"x":-2194.2051907050227,"y":-1370.1637632208287},"data":{"type":"Chroma","node":{"template":{"documents":{"type":"Document","required":false,"placeholder":"","list":true,"show":true,"multiline":false,"fileTypes":[],"file_path":"","password":false,"name":"documents","display_name":"Documents","advanced":false,"dynamic":false,"info":""},"embedding":{"type":"Embeddings","required":true,"placeholder":"","list":false,"show":true,"multiline":false,"fileTypes":[],"file_path":"","password":false,"name":"embedding","display_name":"Embedding","advanced":false,"dynamic":false,"info":""},"chroma_server_cors_allow_origins":{"type":"str","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"fileTypes":[],"file_path":"","password":false,"name":"chroma_server_cors_allow_origins","display_name":"Server CORS Allow Origins","advanced":true,"dynamic":false,"info":""},"chroma_server_grpc_port":{"type":"int","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"fileTypes":[],"file_path":"","password":false,"name":"chroma_server_grpc_port","display_name":"Server gRPC Port","advanced":true,"dynamic":false,"info":""},"chroma_server_host":{"type":"str","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"fileTypes":[],"file_path":"","password":false,"name":"chroma_server_host","display_name":"Server Host","advanced":true,"dynamic":false,"info":""},"chroma_server_port":{"type":"int","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"fileTypes":[],"file_path":"","password":false,"name":"chroma_server_port","display_name":"Server Port","advanced":true,"dynamic":false,"info":""},"chroma_server_ssl_enabled":{"type":"bool","required":true,"placeholder":"","list":false,"show":true,"multiline":false,"value":false,"fileTypes":[],"file_path":"","password":false,"name":"chroma_server_ssl_enabled","display_name":"Server SSL Enabled","advanced":true,"dynamic":false,"info":""},"code":{"type":"code","required":true,"placeholder":"","list":false,"show":true,"multiline":true,"value":"from typing import List, Optional, Union\n\nimport chromadb  # type: ignore\nfrom langchain.embeddings.base import Embeddings\nfrom langchain.schema import BaseRetriever, Document\nfrom langchain.vectorstores import Chroma\nfrom langchain.vectorstores.base import VectorStore\n\nfrom langflow import CustomComponent\n\n\nclass ChromaComponent(CustomComponent):\n    \"\"\"\n    A custom component for implementing a Vector Store using Chroma.\n    \"\"\"\n\n    display_name: str = \"Chroma\"\n    description: str = \"Implementation of Vector Store using Chroma\"\n    documentation = \"https://python.langchain.com/docs/integrations/vectorstores/chroma\"\n    beta: bool = True\n\n    def build_config(self):\n        \"\"\"\n        Builds the configuration for the component.\n\n        Returns:\n        - dict: A dictionary containing the configuration options for the component.\n        \"\"\"\n        return {\n            \"collection_name\": {\"display_name\": \"Collection Name\", \"value\": \"langflow\"},\n            \"persist\": {\"display_name\": \"Persist\"},\n            \"persist_directory\": {\"display_name\": \"Persist Directory\"},\n            \"code\": {\"show\": False, \"display_name\": \"Code\"},\n            \"documents\": {\"display_name\": \"Documents\", \"is_list\": True},\n            \"embedding\": {\"display_name\": \"Embedding\"},\n            \"chroma_server_cors_allow_origins\": {\n                \"display_name\": \"Server CORS Allow Origins\",\n                \"advanced\": True,\n            },\n            \"chroma_server_host\": {\"display_name\": \"Server Host\", \"advanced\": True},\n            \"chroma_server_port\": {\"display_name\": \"Server Port\", \"advanced\": True},\n            \"chroma_server_grpc_port\": {\n                \"display_name\": \"Server gRPC Port\",\n                \"advanced\": True,\n            },\n            \"chroma_server_ssl_enabled\": {\n                \"display_name\": \"Server SSL Enabled\",\n                \"advanced\": True,\n            },\n        }\n\n    def build(\n        self,\n        collection_name: str,\n        persist: bool,\n        embedding: Embeddings,\n        chroma_server_ssl_enabled: bool,\n        persist_directory: Optional[str] = None,\n        documents: Optional[List[Document]] = None,\n        chroma_server_cors_allow_origins: Optional[str] = None,\n        chroma_server_host: Optional[str] = None,\n        chroma_server_port: Optional[int] = None,\n        chroma_server_grpc_port: Optional[int] = None,\n    ) -> Union[VectorStore, BaseRetriever]:\n        \"\"\"\n        Builds the Vector Store or BaseRetriever object.\n\n        Args:\n        - collection_name (str): The name of the collection.\n        - persist_directory (Optional[str]): The directory to persist the Vector Store to.\n        - chroma_server_ssl_enabled (bool): Whether to enable SSL for the Chroma server.\n        - persist (bool): Whether to persist the Vector Store or not.\n        - embedding (Optional[Embeddings]): The embeddings to use for the Vector Store.\n        - documents (Optional[Document]): The documents to use for the Vector Store.\n        - chroma_server_cors_allow_origins (Optional[str]): The CORS allow origins for the Chroma server.\n        - chroma_server_host (Optional[str]): The host for the Chroma server.\n        - chroma_server_port (Optional[int]): The port for the Chroma server.\n        - chroma_server_grpc_port (Optional[int]): The gRPC port for the Chroma server.\n\n        Returns:\n        - Union[VectorStore, BaseRetriever]: The Vector Store or BaseRetriever object.\n        \"\"\"\n\n        # Chroma settings\n        chroma_settings = None\n\n        if chroma_server_host is not None:\n            chroma_settings = chromadb.config.Settings(\n                chroma_server_cors_allow_origins=chroma_server_cors_allow_origins or None,\n                chroma_server_host=chroma_server_host,\n                chroma_server_port=chroma_server_port or None,\n                chroma_server_grpc_port=chroma_server_grpc_port or None,\n                chroma_server_ssl_enabled=chroma_server_ssl_enabled,\n            )\n\n        # If documents, then we need to create a Chroma instance using .from_documents\n        if documents is not None and embedding is not None:\n            if len(documents) == 0:\n                raise ValueError(\"If documents are provided, there must be at least one document.\")\n            return Chroma.from_documents(\n                documents=documents,  # type: ignore\n                persist_directory=persist_directory if persist else None,\n                collection_name=collection_name,\n                embedding=embedding,\n                client_settings=chroma_settings,\n            )\n\n        return Chroma(persist_directory=persist_directory, client_settings=chroma_settings)\n","fileTypes":[],"file_path":"","password":false,"name":"code","advanced":false,"dynamic":true,"info":""},"collection_name":{"type":"str","required":true,"placeholder":"","list":false,"show":true,"multiline":false,"value":"video","fileTypes":[],"file_path":"","password":false,"name":"collection_name","display_name":"Collection Name","advanced":false,"dynamic":false,"info":""},"persist":{"type":"bool","required":true,"placeholder":"","list":false,"show":true,"multiline":false,"value":false,"fileTypes":[],"file_path":"","password":false,"name":"persist","display_name":"Persist","advanced":false,"dynamic":false,"info":""},"persist_directory":{"type":"str","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"fileTypes":[],"file_path":"","password":false,"name":"persist_directory","display_name":"Persist Directory","advanced":false,"dynamic":false,"info":""},"_type":"CustomComponent"},"description":"Implementation of Vector Store using Chroma","base_classes":["VectorStore","BaseRetriever"],"display_name":"Chroma","documentation":"https://python.langchain.com/docs/integrations/vectorstores/chroma","custom_fields":{"chroma_server_cors_allow_origins":null,"chroma_server_grpc_port":null,"chroma_server_host":null,"chroma_server_port":null,"chroma_server_ssl_enabled":null,"collection_name":null,"documents":null,"embedding":null,"persist":null,"persist_directory":null},"output_types":["Chroma"],"field_formatters":{},"beta":true},"id":"Chroma-OtYDg"},"selected":false,"width":384,"height":625,"positionAbsolute":{"x":-2194.2051907050227,"y":-1370.1637632208287},"dragging":false},{"id":"OpenAIEmbeddings-9yqtI","type":"genericNode","position":{"x":-2653.011009324626,"y":-1103.8414515074774},"data":{"type":"OpenAIEmbeddings","node":{"template":{"allowed_special":{"type":"str","required":false,"placeholder":"","list":true,"show":true,"multiline":false,"value":[],"fileTypes":[],"password":false,"name":"allowed_special","advanced":true,"dynamic":false,"info":""},"async_client":{"type":"Any","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"fileTypes":[],"password":false,"name":"async_client","advanced":true,"dynamic":false,"info":""},"chunk_size":{"type":"int","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"value":1000,"fileTypes":[],"password":false,"name":"chunk_size","advanced":true,"dynamic":false,"info":""},"client":{"type":"Any","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"fileTypes":[],"password":false,"name":"client","advanced":true,"dynamic":false,"info":""},"default_headers":{"type":"dict","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"fileTypes":[],"password":false,"name":"default_headers","advanced":true,"dynamic":false,"info":""},"default_query":{"type":"dict","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"fileTypes":[],"password":false,"name":"default_query","advanced":true,"dynamic":false,"info":""},"deployment":{"type":"str","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"value":"text-embedding-ada-002","fileTypes":[],"password":false,"name":"deployment","advanced":true,"dynamic":false,"info":""},"disallowed_special":{"type":"str","required":false,"placeholder":"","list":true,"show":true,"multiline":false,"value":"all","fileTypes":[],"password":false,"name":"disallowed_special","advanced":true,"dynamic":false,"info":""},"embedding_ctx_length":{"type":"int","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"value":8191,"fileTypes":[],"password":false,"name":"embedding_ctx_length","advanced":true,"dynamic":false,"info":""},"headers":{"type":"Any","required":false,"placeholder":"","list":false,"show":false,"multiline":true,"value":"{\"Authorization\": \"Bearer <token>\"}","fileTypes":[],"password":false,"name":"headers","advanced":true,"dynamic":false,"info":""},"http_client":{"type":"Any","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"fileTypes":[],"password":false,"name":"http_client","advanced":true,"dynamic":false,"info":""},"max_retries":{"type":"int","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"value":2,"fileTypes":[],"password":false,"name":"max_retries","advanced":true,"dynamic":false,"info":""},"model":{"type":"str","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"value":"text-embedding-ada-002","fileTypes":[],"password":false,"name":"model","advanced":true,"dynamic":false,"info":""},"model_kwargs":{"type":"dict","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"fileTypes":[],"password":false,"name":"model_kwargs","advanced":true,"dynamic":false,"info":""},"openai_api_base":{"type":"str","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"fileTypes":[],"password":true,"name":"openai_api_base","display_name":"OpenAI API Base","advanced":true,"dynamic":false,"info":"","value":""},"openai_api_key":{"type":"str","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"value":"","fileTypes":[],"password":true,"name":"openai_api_key","display_name":"OpenAI API Key","advanced":false,"dynamic":false,"info":""},"openai_api_type":{"type":"str","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"fileTypes":[],"password":true,"name":"openai_api_type","display_name":"OpenAI API Type","advanced":true,"dynamic":false,"info":"","value":""},"openai_api_version":{"type":"str","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"fileTypes":[],"password":true,"name":"openai_api_version","display_name":"OpenAI API Version","advanced":true,"dynamic":false,"info":"","value":""},"openai_organization":{"type":"str","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"fileTypes":[],"password":false,"name":"openai_organization","display_name":"OpenAI Organization","advanced":true,"dynamic":false,"info":""},"openai_proxy":{"type":"str","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"fileTypes":[],"password":false,"name":"openai_proxy","display_name":"OpenAI Proxy","advanced":true,"dynamic":false,"info":""},"request_timeout":{"type":"float","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"fileTypes":[],"password":false,"name":"request_timeout","advanced":true,"dynamic":false,"info":"","rangeSpec":{"min":-1,"max":1,"step":0.1}},"retry_max_seconds":{"type":"int","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"value":20,"fileTypes":[],"password":false,"name":"retry_max_seconds","advanced":true,"dynamic":false,"info":""},"retry_min_seconds":{"type":"int","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"value":4,"fileTypes":[],"password":false,"name":"retry_min_seconds","advanced":true,"dynamic":false,"info":""},"show_progress_bar":{"type":"bool","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"value":false,"fileTypes":[],"password":false,"name":"show_progress_bar","advanced":true,"dynamic":false,"info":""},"skip_empty":{"type":"bool","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"value":false,"fileTypes":[],"password":false,"name":"skip_empty","advanced":true,"dynamic":false,"info":""},"tiktoken_enabled":{"type":"bool","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"value":"","fileTypes":[],"password":true,"name":"tiktoken_enabled","advanced":false,"dynamic":false,"info":""},"tiktoken_model_name":{"type":"str","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"fileTypes":[],"password":true,"name":"tiktoken_model_name","advanced":false,"dynamic":false,"info":"","value":""},"_type":"OpenAIEmbeddings"},"description":"[*Deprecated*]  OpenAI embedding models.","base_classes":["Embeddings","OpenAIEmbeddings"],"display_name":"OpenAIEmbeddings","documentation":"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai","custom_fields":{},"output_types":[],"field_formatters":{},"beta":false},"id":"OpenAIEmbeddings-9yqtI"},"selected":false,"width":384,"height":443,"positionAbsolute":{"x":-2653.011009324626,"y":-1103.8414515074774},"dragging":false},{"id":"RetrievalQA-DpylI","type":"genericNode","position":{"x":-1757.239471200792,"y":-1258.2132589352987},"data":{"type":"RetrievalQA","node":{"template":{"callbacks":{"type":"langchain_core.callbacks.base.BaseCallbackHandler","required":false,"placeholder":"","list":true,"show":false,"multiline":false,"fileTypes":[],"password":false,"name":"callbacks","advanced":false,"dynamic":false,"info":""},"combine_documents_chain":{"type":"BaseCombineDocumentsChain","required":true,"placeholder":"","list":false,"show":true,"multiline":false,"fileTypes":[],"password":false,"name":"combine_documents_chain","advanced":false,"dynamic":false,"info":""},"memory":{"type":"BaseMemory","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"fileTypes":[],"password":false,"name":"memory","advanced":false,"dynamic":false,"info":""},"retriever":{"type":"BaseRetriever","required":true,"placeholder":"","list":false,"show":true,"multiline":false,"fileTypes":[],"password":false,"name":"retriever","advanced":false,"dynamic":false,"info":""},"input_key":{"type":"str","required":true,"placeholder":"","list":false,"show":true,"multiline":false,"value":"query","fileTypes":[],"password":false,"name":"input_key","advanced":true,"dynamic":false,"info":""},"metadata":{"type":"dict","required":false,"placeholder":"","list":false,"show":false,"multiline":false,"fileTypes":[],"password":false,"name":"metadata","advanced":false,"dynamic":false,"info":""},"name":{"type":"str","required":false,"placeholder":"","list":false,"show":false,"multiline":false,"fileTypes":[],"password":false,"name":"name","advanced":false,"dynamic":false,"info":""},"output_key":{"type":"str","required":true,"placeholder":"","list":false,"show":true,"multiline":false,"value":"result","fileTypes":[],"password":false,"name":"output_key","advanced":true,"dynamic":false,"info":""},"return_source_documents":{"type":"bool","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"value":true,"fileTypes":[],"password":false,"name":"return_source_documents","advanced":true,"dynamic":false,"info":""},"tags":{"type":"str","required":false,"placeholder":"","list":true,"show":false,"multiline":false,"fileTypes":[],"password":false,"name":"tags","advanced":false,"dynamic":false,"info":""},"verbose":{"type":"bool","required":false,"placeholder":"","list":false,"show":false,"multiline":false,"fileTypes":[],"password":false,"name":"verbose","advanced":true,"dynamic":false,"info":""},"_type":"RetrievalQA"},"description":"Chain for question-answering against an index.","base_classes":["Chain","RetrievalQA","BaseRetrievalQA","Callable"],"display_name":"RetrievalQA","documentation":"https://python.langchain.com/docs/modules/chains/popular/vector_db_qa","custom_fields":{},"output_types":[],"field_formatters":{},"beta":false},"id":"RetrievalQA-DpylI"},"selected":false,"width":384,"height":339,"positionAbsolute":{"x":-1757.239471200792,"y":-1258.2132589352987},"dragging":true},{"id":"CombineDocsChain-afKOq","type":"genericNode","position":{"x":-1775.9040057312934,"y":-1644.0423777157919},"data":{"type":"CombineDocsChain","node":{"template":{"llm":{"type":"BaseLanguageModel","required":true,"placeholder":"","list":false,"show":true,"multiline":false,"value":"","fileTypes":[],"file_path":"","password":false,"name":"llm","display_name":"LLM","advanced":false,"dynamic":false,"info":""},"chain_type":{"type":"str","required":true,"placeholder":"","list":true,"show":true,"multiline":false,"value":"refine","fileTypes":[],"file_path":"","password":false,"options":["stuff","map_reduce","map_rerank","refine"],"name":"chain_type","advanced":false,"dynamic":false,"info":""},"_type":"load_qa_chain"},"description":"Load question answering chain.","base_classes":["BaseCombineDocumentsChain","Callable"],"display_name":"CombineDocsChain","documentation":"","custom_fields":{},"output_types":[],"field_formatters":{},"beta":false},"id":"CombineDocsChain-afKOq"},"selected":false,"width":384,"height":333,"dragging":false,"positionAbsolute":{"x":-1775.9040057312934,"y":-1644.0423777157919}},{"id":"SearchApi-kZmEj","type":"genericNode","position":{"x":-3074.364183247263,"y":-1782.5742787937606},"data":{"type":"SearchApi","node":{"template":{"api_key":{"type":"str","required":true,"placeholder":"","list":false,"show":true,"multiline":false,"fileTypes":[],"file_path":"","password":true,"name":"api_key","display_name":"API Key","advanced":false,"dynamic":false,"info":"The API key to use SearchApi.","value":""},"code":{"type":"code","required":true,"placeholder":"","list":false,"show":true,"multiline":true,"value":"from langflow import CustomComponent\nfrom langchain.schema import Document\nfrom langflow.services.database.models.base import orjson_dumps\nfrom langchain_community.utilities.searchapi import SearchApiAPIWrapper\nfrom typing import Optional\n\n\nclass SearchApi(CustomComponent):\n    display_name: str = \"SearchApi\"\n    description: str = \"Real-time search engines API.\"\n    output_types: list[str] = [\"Document\"]\n    documentation: str = \"https://www.searchapi.io/docs/google\"\n    field_config = {\n        \"engine\": {\n            \"display_name\": \"Engine\",\n            \"field_type\": \"str\",\n            \"info\": \"The search engine to use.\",\n        },\n        \"params\": {\n            \"display_name\": \"Parameters\",\n            \"info\": \"The parameters to send with the request.\",\n        },\n        \"code\": {\"show\": False},\n        \"api_key\": {\n            \"display_name\": \"API Key\",\n            \"field_type\": \"str\",\n            \"required\": True, \n            \"password\": True,\n            \"info\": \"The API key to use SearchApi.\",\n        },\n    }\n\n    def build(\n        self,\n        engine: str,\n        api_key: str,\n        params: Optional[dict] = None,\n    ) -> Document:\n        if params is None:\n            params = {}\n\n        search_api_wrapper = SearchApiAPIWrapper(engine=engine, searchapi_api_key=api_key)\n\n        query = params.pop(\"query\", \"default query\") \n        results = search_api_wrapper.results(query, **params)\n\n        result = orjson_dumps(results, indent_2=False)\n        \n        document = Document(page_content=result) \n\n        return document","fileTypes":[],"file_path":"","password":false,"name":"code","advanced":false,"dynamic":true,"info":""},"engine":{"type":"str","required":true,"placeholder":"","list":false,"show":true,"multiline":false,"fileTypes":[],"file_path":"","password":false,"name":"engine","display_name":"Engine","advanced":false,"dynamic":false,"info":"The search engine to use.","value":"youtube_transcripts"},"params":{"type":"dict","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"fileTypes":[],"file_path":"","password":false,"name":"params","display_name":"Parameters","advanced":false,"dynamic":false,"info":"The parameters to send with the request.","value":[{"video_id":"krsBRQbOPQ4"}]},"_type":"CustomComponent"},"description":"Real-time search engines API.","base_classes":["Document"],"display_name":"SearchApi","documentation":"https://www.searchapi.io/docs/google","custom_fields":{"api_key":null,"engine":null,"params":null},"output_types":["SearchApi"],"field_formatters":{},"beta":true},"id":"SearchApi-kZmEj"},"selected":false,"width":384,"height":539,"dragging":false,"positionAbsolute":{"x":-3074.364183247263,"y":-1782.5742787937606}}],"edges":[{"source":"CharacterTextSplitter-WVMFU","sourceHandle":"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCharacterTextSplitterœ,œidœ:œCharacterTextSplitter-WVMFUœ}","target":"Chroma-OtYDg","targetHandle":"{œfieldNameœ:œdocumentsœ,œidœ:œChroma-OtYDgœ,œinputTypesœ:null,œtypeœ:œDocumentœ}","data":{"targetHandle":{"fieldName":"documents","id":"Chroma-OtYDg","inputTypes":null,"type":"Document"},"sourceHandle":{"baseClasses":["Document"],"dataType":"CharacterTextSplitter","id":"CharacterTextSplitter-WVMFU"}},"style":{"stroke":"#555"},"className":"stroke-gray-900  stroke-connection","animated":false,"id":"reactflow__edge-CharacterTextSplitter-WVMFU{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCharacterTextSplitterœ,œidœ:œCharacterTextSplitter-WVMFUœ}-Chroma-OtYDg{œfieldNameœ:œdocumentsœ,œidœ:œChroma-OtYDgœ,œinputTypesœ:null,œtypeœ:œDocumentœ}"},{"source":"OpenAIEmbeddings-9yqtI","sourceHandle":"{œbaseClassesœ:[œEmbeddingsœ,œOpenAIEmbeddingsœ],œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-9yqtIœ}","target":"Chroma-OtYDg","targetHandle":"{œfieldNameœ:œembeddingœ,œidœ:œChroma-OtYDgœ,œinputTypesœ:null,œtypeœ:œEmbeddingsœ}","data":{"targetHandle":{"fieldName":"embedding","id":"Chroma-OtYDg","inputTypes":null,"type":"Embeddings"},"sourceHandle":{"baseClasses":["Embeddings","OpenAIEmbeddings"],"dataType":"OpenAIEmbeddings","id":"OpenAIEmbeddings-9yqtI"}},"style":{"stroke":"#555"},"className":"stroke-gray-900  stroke-connection","animated":false,"id":"reactflow__edge-OpenAIEmbeddings-9yqtI{œbaseClassesœ:[œEmbeddingsœ,œOpenAIEmbeddingsœ],œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-9yqtIœ}-Chroma-OtYDg{œfieldNameœ:œembeddingœ,œidœ:œChroma-OtYDgœ,œinputTypesœ:null,œtypeœ:œEmbeddingsœ}"},{"source":"Chroma-OtYDg","sourceHandle":"{œbaseClassesœ:[œVectorStoreœ,œBaseRetrieverœ],œdataTypeœ:œChromaœ,œidœ:œChroma-OtYDgœ}","target":"RetrievalQA-DpylI","targetHandle":"{œfieldNameœ:œretrieverœ,œidœ:œRetrievalQA-DpylIœ,œinputTypesœ:null,œtypeœ:œBaseRetrieverœ}","data":{"targetHandle":{"fieldName":"retriever","id":"RetrievalQA-DpylI","inputTypes":null,"type":"BaseRetriever"},"sourceHandle":{"baseClasses":["VectorStore","BaseRetriever"],"dataType":"Chroma","id":"Chroma-OtYDg"}},"style":{"stroke":"#555"},"className":"stroke-gray-900  stroke-connection","animated":false,"id":"reactflow__edge-Chroma-OtYDg{œbaseClassesœ:[œVectorStoreœ,œBaseRetrieverœ],œdataTypeœ:œChromaœ,œidœ:œChroma-OtYDgœ}-RetrievalQA-DpylI{œfieldNameœ:œretrieverœ,œidœ:œRetrievalQA-DpylIœ,œinputTypesœ:null,œtypeœ:œBaseRetrieverœ}"},{"source":"ChatOpenAI-4Mfuz","sourceHandle":"{œbaseClassesœ:[œBaseLanguageModelœ,œBaseChatModelœ,œChatOpenAIœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-4Mfuzœ}","target":"CombineDocsChain-afKOq","targetHandle":"{œfieldNameœ:œllmœ,œidœ:œCombineDocsChain-afKOqœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}","data":{"targetHandle":{"fieldName":"llm","id":"CombineDocsChain-afKOq","inputTypes":null,"type":"BaseLanguageModel"},"sourceHandle":{"baseClasses":["BaseLanguageModel","BaseChatModel","ChatOpenAI","BaseLLM"],"dataType":"ChatOpenAI","id":"ChatOpenAI-4Mfuz"}},"style":{"stroke":"#555"},"className":"stroke-gray-900  stroke-connection","animated":false,"id":"reactflow__edge-ChatOpenAI-4Mfuz{œbaseClassesœ:[œBaseLanguageModelœ,œBaseChatModelœ,œChatOpenAIœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-4Mfuzœ}-CombineDocsChain-afKOq{œfieldNameœ:œllmœ,œidœ:œCombineDocsChain-afKOqœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}"},{"source":"CombineDocsChain-afKOq","sourceHandle":"{œbaseClassesœ:[œBaseCombineDocumentsChainœ,œCallableœ],œdataTypeœ:œCombineDocsChainœ,œidœ:œCombineDocsChain-afKOqœ}","target":"RetrievalQA-DpylI","targetHandle":"{œfieldNameœ:œcombine_documents_chainœ,œidœ:œRetrievalQA-DpylIœ,œinputTypesœ:null,œtypeœ:œBaseCombineDocumentsChainœ}","data":{"targetHandle":{"fieldName":"combine_documents_chain","id":"RetrievalQA-DpylI","inputTypes":null,"type":"BaseCombineDocumentsChain"},"sourceHandle":{"baseClasses":["BaseCombineDocumentsChain","Callable"],"dataType":"CombineDocsChain","id":"CombineDocsChain-afKOq"}},"style":{"stroke":"#555"},"className":"stroke-gray-900  stroke-connection","animated":false,"id":"reactflow__edge-CombineDocsChain-afKOq{œbaseClassesœ:[œBaseCombineDocumentsChainœ,œCallableœ],œdataTypeœ:œCombineDocsChainœ,œidœ:œCombineDocsChain-afKOqœ}-RetrievalQA-DpylI{œfieldNameœ:œcombine_documents_chainœ,œidœ:œRetrievalQA-DpylIœ,œinputTypesœ:null,œtypeœ:œBaseCombineDocumentsChainœ}"},{"source":"SearchApi-kZmEj","sourceHandle":"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œSearchApiœ,œidœ:œSearchApi-kZmEjœ}","target":"CharacterTextSplitter-WVMFU","targetHandle":"{œfieldNameœ:œdocumentsœ,œidœ:œCharacterTextSplitter-WVMFUœ,œinputTypesœ:null,œtypeœ:œDocumentœ}","data":{"targetHandle":{"fieldName":"documents","id":"CharacterTextSplitter-WVMFU","inputTypes":null,"type":"Document"},"sourceHandle":{"baseClasses":["Document"],"dataType":"SearchApi","id":"SearchApi-kZmEj"}},"style":{"stroke":"#555"},"className":"stroke-gray-900  stroke-connection","animated":false,"id":"reactflow__edge-SearchApi-kZmEj{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œSearchApiœ,œidœ:œSearchApi-kZmEjœ}-CharacterTextSplitter-WVMFU{œfieldNameœ:œdocumentsœ,œidœ:œCharacterTextSplitter-WVMFUœ,œinputTypesœ:null,œtypeœ:œDocumentœ}"}],"viewport":{"x":2046.3642433866817,"y":1270.2852546488134,"zoom":0.6177254407441625}},"description":"Real-time Google Search engine q&a.","name":"SearchApi Tool","last_tested_version":"0.6.5a9","is_component":false}
\ No newline at end of file
+{
+    "id": "7fc56f82-3493-4742-9c85-82b144127aff",
+    "data": {
+        "nodes": [
+            {
+                "id": "ChatOpenAI-4Mfuz",
+                "type": "genericNode",
+                "position": {
+                    "x": -2243.8068684913856,
+                    "y": -2026.350019258601
+                },
+                "data": {
+                    "type": "ChatOpenAI",
+                    "node": {
+                        "template": {
+                            "callbacks": {
+                                "type": "langchain_core.callbacks.base.BaseCallbackHandler",
+                                "required": false,
+                                "placeholder": "",
+                                "list": true,
+                                "show": false,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "callbacks",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "async_client": {
+                                "type": "Any",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": false,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "async_client",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "cache": {
+                                "type": "bool",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": false,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "cache",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "client": {
+                                "type": "Any",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": false,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "client",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "default_headers": {
+                                "type": "dict",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": false,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "default_headers",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "default_query": {
+                                "type": "dict",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": false,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "default_query",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "http_client": {
+                                "type": "Any",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": false,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "http_client",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "max_retries": {
+                                "type": "int",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": false,
+                                "multiline": false,
+                                "value": 2,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "max_retries",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "max_tokens": {
+                                "type": "int",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "password": true,
+                                "name": "max_tokens",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "value": ""
+                            },
+                            "metadata": {
+                                "type": "dict",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": false,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "metadata",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "model_kwargs": {
+                                "type": "dict",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "model_kwargs",
+                                "advanced": true,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "model_name": {
+                                "type": "str",
+                                "required": false,
+                                "placeholder": "",
+                                "list": true,
+                                "show": true,
+                                "multiline": false,
+                                "value": "gpt-3.5-turbo-16k",
+                                "fileTypes": [],
+                                "password": false,
+                                "options": [
+                                    "gpt-4-1106-preview",
+                                    "gpt-4-vision-preview",
+                                    "gpt-4",
+                                    "gpt-4-32k",
+                                    "gpt-3.5-turbo",
+                                    "gpt-3.5-turbo-16k"
+                                ],
+                                "name": "model_name",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "n": {
+                                "type": "int",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": false,
+                                "multiline": false,
+                                "value": 1,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "n",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "name": {
+                                "type": "str",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": false,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "name",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "openai_api_base": {
+                                "type": "str",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "openai_api_base",
+                                "display_name": "OpenAI API Base",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\n"
+                            },
+                            "openai_api_key": {
+                                "type": "str",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "value": "",
+                                "fileTypes": [],
+                                "password": true,
+                                "name": "openai_api_key",
+                                "display_name": "OpenAI API Key",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "openai_organization": {
+                                "type": "str",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": false,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "openai_organization",
+                                "display_name": "OpenAI Organization",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "openai_proxy": {
+                                "type": "str",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": false,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "openai_proxy",
+                                "display_name": "OpenAI Proxy",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "request_timeout": {
+                                "type": "float",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": false,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "request_timeout",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "rangeSpec": {
+                                    "min": -1,
+                                    "max": 1,
+                                    "step": 0.1
+                                }
+                            },
+                            "streaming": {
+                                "type": "bool",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": false,
+                                "multiline": false,
+                                "value": false,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "streaming",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "tags": {
+                                "type": "str",
+                                "required": false,
+                                "placeholder": "",
+                                "list": true,
+                                "show": false,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "tags",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "temperature": {
+                                "type": "float",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "value": "0.5",
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "temperature",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "rangeSpec": {
+                                    "min": -1,
+                                    "max": 1,
+                                    "step": 0.1
+                                }
+                            },
+                            "tiktoken_model_name": {
+                                "type": "str",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": false,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "tiktoken_model_name",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "verbose": {
+                                "type": "bool",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": false,
+                                "multiline": false,
+                                "value": false,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "verbose",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "_type": "ChatOpenAI"
+                        },
+                        "description": "[*Deprecated*]  `OpenAI` Chat large language models API.",
+                        "base_classes": [
+                            "BaseLanguageModel",
+                            "BaseChatModel",
+                            "ChatOpenAI",
+                            "BaseLLM"
+                        ],
+                        "display_name": "ChatOpenAI",
+                        "documentation": "https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai",
+                        "custom_fields": {},
+                        "output_types": [],
+                        "field_formatters": {},
+                        "beta": false
+                    },
+                    "id": "ChatOpenAI-4Mfuz"
+                },
+                "selected": false,
+                "width": 384,
+                "height": 649,
+                "positionAbsolute": {
+                    "x": -2243.8068684913856,
+                    "y": -2026.350019258601
+                },
+                "dragging": false
+            },
+            {
+                "id": "CharacterTextSplitter-WVMFU",
+                "type": "genericNode",
+                "position": {
+                    "x": -2661.4749778477553,
+                    "y": -1608.9437055023366
+                },
+                "data": {
+                    "type": "CharacterTextSplitter",
+                    "node": {
+                        "template": {
+                            "documents": {
+                                "type": "Document",
+                                "required": true,
+                                "placeholder": "",
+                                "list": true,
+                                "show": true,
+                                "multiline": false,
+                                "value": "",
+                                "fileTypes": [],
+                                "file_path": "",
+                                "password": false,
+                                "name": "documents",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "chunk_overlap": {
+                                "type": "int",
+                                "required": true,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "value": 200,
+                                "fileTypes": [],
+                                "file_path": "",
+                                "password": false,
+                                "name": "chunk_overlap",
+                                "display_name": "Chunk Overlap",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "chunk_size": {
+                                "type": "int",
+                                "required": true,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "value": "2000",
+                                "fileTypes": [],
+                                "file_path": "",
+                                "password": false,
+                                "name": "chunk_size",
+                                "display_name": "Chunk Size",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "separator": {
+                                "type": "str",
+                                "required": true,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "value": "\"",
+                                "fileTypes": [],
+                                "file_path": "",
+                                "password": false,
+                                "name": "separator",
+                                "display_name": "Separator",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "_type": "CharacterTextSplitter"
+                        },
+                        "description": "Splitting text that looks at characters.",
+                        "base_classes": [
+                            "Document"
+                        ],
+                        "display_name": "CharacterTextSplitter",
+                        "documentation": "https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/character_text_splitter",
+                        "custom_fields": {},
+                        "output_types": [
+                            "Document"
+                        ],
+                        "field_formatters": {},
+                        "beta": false
+                    },
+                    "id": "CharacterTextSplitter-WVMFU"
+                },
+                "selected": false,
+                "width": 384,
+                "height": 501,
+                "positionAbsolute": {
+                    "x": -2661.4749778477553,
+                    "y": -1608.9437055023366
+                },
+                "dragging": false
+            },
+            {
+                "id": "Chroma-OtYDg",
+                "type": "genericNode",
+                "position": {
+                    "x": -2194.2051907050227,
+                    "y": -1370.1637632208287
+                },
+                "data": {
+                    "type": "Chroma",
+                    "node": {
+                        "template": {
+                            "documents": {
+                                "type": "Document",
+                                "required": false,
+                                "placeholder": "",
+                                "list": true,
+                                "show": true,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "file_path": "",
+                                "password": false,
+                                "name": "documents",
+                                "display_name": "Documents",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "embedding": {
+                                "type": "Embeddings",
+                                "required": true,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "file_path": "",
+                                "password": false,
+                                "name": "embedding",
+                                "display_name": "Embedding",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "chroma_server_cors_allow_origins": {
+                                "type": "str",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "file_path": "",
+                                "password": false,
+                                "name": "chroma_server_cors_allow_origins",
+                                "display_name": "Server CORS Allow Origins",
+                                "advanced": true,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "chroma_server_grpc_port": {
+                                "type": "int",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "file_path": "",
+                                "password": false,
+                                "name": "chroma_server_grpc_port",
+                                "display_name": "Server gRPC Port",
+                                "advanced": true,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "chroma_server_host": {
+                                "type": "str",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "file_path": "",
+                                "password": false,
+                                "name": "chroma_server_host",
+                                "display_name": "Server Host",
+                                "advanced": true,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "chroma_server_port": {
+                                "type": "int",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "file_path": "",
+                                "password": false,
+                                "name": "chroma_server_port",
+                                "display_name": "Server Port",
+                                "advanced": true,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "chroma_server_ssl_enabled": {
+                                "type": "bool",
+                                "required": true,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "value": false,
+                                "fileTypes": [],
+                                "file_path": "",
+                                "password": false,
+                                "name": "chroma_server_ssl_enabled",
+                                "display_name": "Server SSL Enabled",
+                                "advanced": true,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "code": {
+                                "type": "code",
+                                "required": true,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": true,
+                                "value": "from typing import List, Optional, Union\n\nimport chromadb  # type: ignore\nfrom langchain.embeddings.base import Embeddings\nfrom langchain.schema import BaseRetriever, Document\nfrom langchain.vectorstores import Chroma\nfrom langchain.vectorstores.base import VectorStore\n\nfrom langflow.custom import CustomComponent\n\n\nclass ChromaComponent(CustomComponent):\n    \"\"\"\n    A custom component for implementing a Vector Store using Chroma.\n    \"\"\"\n\n    display_name: str = \"Chroma\"\n    description: str = \"Implementation of Vector Store using Chroma\"\n    documentation = \"https://python.langchain.com/docs/integrations/vectorstores/chroma\"\n    beta: bool = True\n\n    def build_config(self):\n        \"\"\"\n        Builds the configuration for the component.\n\n        Returns:\n        - dict: A dictionary containing the configuration options for the component.\n        \"\"\"\n        return {\n            \"collection_name\": {\"display_name\": \"Collection Name\", \"value\": \"langflow\"},\n            \"persist\": {\"display_name\": \"Persist\"},\n            \"persist_directory\": {\"display_name\": \"Persist Directory\"},\n            \"code\": {\"show\": False, \"display_name\": \"Code\"},\n            \"documents\": {\"display_name\": \"Documents\", \"is_list\": True},\n            \"embedding\": {\"display_name\": \"Embedding\"},\n            \"chroma_server_cors_allow_origins\": {\n                \"display_name\": \"Server CORS Allow Origins\",\n                \"advanced\": True,\n            },\n            \"chroma_server_host\": {\"display_name\": \"Server Host\", \"advanced\": True},\n            \"chroma_server_port\": {\"display_name\": \"Server Port\", \"advanced\": True},\n            \"chroma_server_grpc_port\": {\n                \"display_name\": \"Server gRPC Port\",\n                \"advanced\": True,\n            },\n            \"chroma_server_ssl_enabled\": {\n                \"display_name\": \"Server SSL Enabled\",\n                \"advanced\": True,\n            },\n        }\n\n    def build(\n        self,\n        collection_name: str,\n        persist: bool,\n        embedding: Embeddings,\n        chroma_server_ssl_enabled: bool,\n        persist_directory: Optional[str] = None,\n        documents: Optional[List[Document]] = None,\n        chroma_server_cors_allow_origins: Optional[str] = None,\n        chroma_server_host: Optional[str] = None,\n        chroma_server_port: Optional[int] = None,\n        chroma_server_grpc_port: Optional[int] = None,\n    ) -> Union[VectorStore, BaseRetriever]:\n        \"\"\"\n        Builds the Vector Store or BaseRetriever object.\n\n        Args:\n        - collection_name (str): The name of the collection.\n        - persist_directory (Optional[str]): The directory to persist the Vector Store to.\n        - chroma_server_ssl_enabled (bool): Whether to enable SSL for the Chroma server.\n        - persist (bool): Whether to persist the Vector Store or not.\n        - embedding (Optional[Embeddings]): The embeddings to use for the Vector Store.\n        - documents (Optional[Document]): The documents to use for the Vector Store.\n        - chroma_server_cors_allow_origins (Optional[str]): The CORS allow origins for the Chroma server.\n        - chroma_server_host (Optional[str]): The host for the Chroma server.\n        - chroma_server_port (Optional[int]): The port for the Chroma server.\n        - chroma_server_grpc_port (Optional[int]): The gRPC port for the Chroma server.\n\n        Returns:\n        - Union[VectorStore, BaseRetriever]: The Vector Store or BaseRetriever object.\n        \"\"\"\n\n        # Chroma settings\n        chroma_settings = None\n\n        if chroma_server_host is not None:\n            chroma_settings = chromadb.config.Settings(\n                chroma_server_cors_allow_origins=chroma_server_cors_allow_origins or None,\n                chroma_server_host=chroma_server_host,\n                chroma_server_port=chroma_server_port or None,\n                chroma_server_grpc_port=chroma_server_grpc_port or None,\n                chroma_server_ssl_enabled=chroma_server_ssl_enabled,\n            )\n\n        # If documents, then we need to create a Chroma instance using .from_documents\n        if documents is not None and embedding is not None:\n            if len(documents) == 0:\n                raise ValueError(\"If documents are provided, there must be at least one document.\")\n            return Chroma.from_documents(\n                documents=documents,  # type: ignore\n                persist_directory=persist_directory if persist else None,\n                collection_name=collection_name,\n                embedding=embedding,\n                client_settings=chroma_settings,\n            )\n\n        return Chroma(persist_directory=persist_directory, client_settings=chroma_settings)\n",
+                                "fileTypes": [],
+                                "file_path": "",
+                                "password": false,
+                                "name": "code",
+                                "advanced": false,
+                                "dynamic": true,
+                                "info": ""
+                            },
+                            "collection_name": {
+                                "type": "str",
+                                "required": true,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "value": "video",
+                                "fileTypes": [],
+                                "file_path": "",
+                                "password": false,
+                                "name": "collection_name",
+                                "display_name": "Collection Name",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "persist": {
+                                "type": "bool",
+                                "required": true,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "value": false,
+                                "fileTypes": [],
+                                "file_path": "",
+                                "password": false,
+                                "name": "persist",
+                                "display_name": "Persist",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "persist_directory": {
+                                "type": "str",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "file_path": "",
+                                "password": false,
+                                "name": "persist_directory",
+                                "display_name": "Persist Directory",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "_type": "CustomComponent"
+                        },
+                        "description": "Implementation of Vector Store using Chroma",
+                        "base_classes": [
+                            "VectorStore",
+                            "BaseRetriever"
+                        ],
+                        "display_name": "Chroma",
+                        "documentation": "https://python.langchain.com/docs/integrations/vectorstores/chroma",
+                        "custom_fields": {
+                            "chroma_server_cors_allow_origins": null,
+                            "chroma_server_grpc_port": null,
+                            "chroma_server_host": null,
+                            "chroma_server_port": null,
+                            "chroma_server_ssl_enabled": null,
+                            "collection_name": null,
+                            "documents": null,
+                            "embedding": null,
+                            "persist": null,
+                            "persist_directory": null
+                        },
+                        "output_types": [
+                            "Chroma"
+                        ],
+                        "field_formatters": {},
+                        "beta": true
+                    },
+                    "id": "Chroma-OtYDg"
+                },
+                "selected": false,
+                "width": 384,
+                "height": 625,
+                "positionAbsolute": {
+                    "x": -2194.2051907050227,
+                    "y": -1370.1637632208287
+                },
+                "dragging": false
+            },
+            {
+                "id": "OpenAIEmbeddings-9yqtI",
+                "type": "genericNode",
+                "position": {
+                    "x": -2653.011009324626,
+                    "y": -1103.8414515074774
+                },
+                "data": {
+                    "type": "OpenAIEmbeddings",
+                    "node": {
+                        "template": {
+                            "allowed_special": {
+                                "type": "str",
+                                "required": false,
+                                "placeholder": "",
+                                "list": true,
+                                "show": true,
+                                "multiline": false,
+                                "value": [],
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "allowed_special",
+                                "advanced": true,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "async_client": {
+                                "type": "Any",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "async_client",
+                                "advanced": true,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "chunk_size": {
+                                "type": "int",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "value": 1000,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "chunk_size",
+                                "advanced": true,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "client": {
+                                "type": "Any",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "client",
+                                "advanced": true,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "default_headers": {
+                                "type": "dict",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "default_headers",
+                                "advanced": true,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "default_query": {
+                                "type": "dict",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "default_query",
+                                "advanced": true,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "deployment": {
+                                "type": "str",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "value": "text-embedding-ada-002",
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "deployment",
+                                "advanced": true,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "disallowed_special": {
+                                "type": "str",
+                                "required": false,
+                                "placeholder": "",
+                                "list": true,
+                                "show": true,
+                                "multiline": false,
+                                "value": "all",
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "disallowed_special",
+                                "advanced": true,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "embedding_ctx_length": {
+                                "type": "int",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "value": 8191,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "embedding_ctx_length",
+                                "advanced": true,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "headers": {
+                                "type": "Any",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": false,
+                                "multiline": true,
+                                "value": "{\"Authorization\": \"Bearer <token>\"}",
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "headers",
+                                "advanced": true,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "http_client": {
+                                "type": "Any",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "http_client",
+                                "advanced": true,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "max_retries": {
+                                "type": "int",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "value": 2,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "max_retries",
+                                "advanced": true,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "model": {
+                                "type": "str",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "value": "text-embedding-ada-002",
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "model",
+                                "advanced": true,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "model_kwargs": {
+                                "type": "dict",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "model_kwargs",
+                                "advanced": true,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "openai_api_base": {
+                                "type": "str",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "password": true,
+                                "name": "openai_api_base",
+                                "display_name": "OpenAI API Base",
+                                "advanced": true,
+                                "dynamic": false,
+                                "info": "",
+                                "value": ""
+                            },
+                            "openai_api_key": {
+                                "type": "str",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "value": "",
+                                "fileTypes": [],
+                                "password": true,
+                                "name": "openai_api_key",
+                                "display_name": "OpenAI API Key",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "openai_api_type": {
+                                "type": "str",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "password": true,
+                                "name": "openai_api_type",
+                                "display_name": "OpenAI API Type",
+                                "advanced": true,
+                                "dynamic": false,
+                                "info": "",
+                                "value": ""
+                            },
+                            "openai_api_version": {
+                                "type": "str",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "password": true,
+                                "name": "openai_api_version",
+                                "display_name": "OpenAI API Version",
+                                "advanced": true,
+                                "dynamic": false,
+                                "info": "",
+                                "value": ""
+                            },
+                            "openai_organization": {
+                                "type": "str",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "openai_organization",
+                                "display_name": "OpenAI Organization",
+                                "advanced": true,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "openai_proxy": {
+                                "type": "str",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "openai_proxy",
+                                "display_name": "OpenAI Proxy",
+                                "advanced": true,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "request_timeout": {
+                                "type": "float",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "request_timeout",
+                                "advanced": true,
+                                "dynamic": false,
+                                "info": "",
+                                "rangeSpec": {
+                                    "min": -1,
+                                    "max": 1,
+                                    "step": 0.1
+                                }
+                            },
+                            "retry_max_seconds": {
+                                "type": "int",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "value": 20,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "retry_max_seconds",
+                                "advanced": true,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "retry_min_seconds": {
+                                "type": "int",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "value": 4,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "retry_min_seconds",
+                                "advanced": true,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "show_progress_bar": {
+                                "type": "bool",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "value": false,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "show_progress_bar",
+                                "advanced": true,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "skip_empty": {
+                                "type": "bool",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "value": false,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "skip_empty",
+                                "advanced": true,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "tiktoken_enabled": {
+                                "type": "bool",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "value": "",
+                                "fileTypes": [],
+                                "password": true,
+                                "name": "tiktoken_enabled",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "tiktoken_model_name": {
+                                "type": "str",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "password": true,
+                                "name": "tiktoken_model_name",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "value": ""
+                            },
+                            "_type": "OpenAIEmbeddings"
+                        },
+                        "description": "[*Deprecated*]  OpenAI embedding models.",
+                        "base_classes": [
+                            "Embeddings",
+                            "OpenAIEmbeddings"
+                        ],
+                        "display_name": "OpenAIEmbeddings",
+                        "documentation": "https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai",
+                        "custom_fields": {},
+                        "output_types": [],
+                        "field_formatters": {},
+                        "beta": false
+                    },
+                    "id": "OpenAIEmbeddings-9yqtI"
+                },
+                "selected": false,
+                "width": 384,
+                "height": 443,
+                "positionAbsolute": {
+                    "x": -2653.011009324626,
+                    "y": -1103.8414515074774
+                },
+                "dragging": false
+            },
+            {
+                "id": "RetrievalQA-DpylI",
+                "type": "genericNode",
+                "position": {
+                    "x": -1757.239471200792,
+                    "y": -1258.2132589352987
+                },
+                "data": {
+                    "type": "RetrievalQA",
+                    "node": {
+                        "template": {
+                            "callbacks": {
+                                "type": "langchain_core.callbacks.base.BaseCallbackHandler",
+                                "required": false,
+                                "placeholder": "",
+                                "list": true,
+                                "show": false,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "callbacks",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "combine_documents_chain": {
+                                "type": "BaseCombineDocumentsChain",
+                                "required": true,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "combine_documents_chain",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "memory": {
+                                "type": "BaseMemory",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "memory",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "retriever": {
+                                "type": "BaseRetriever",
+                                "required": true,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "retriever",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "input_key": {
+                                "type": "str",
+                                "required": true,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "value": "query",
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "input_key",
+                                "advanced": true,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "metadata": {
+                                "type": "dict",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": false,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "metadata",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "name": {
+                                "type": "str",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": false,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "name",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "output_key": {
+                                "type": "str",
+                                "required": true,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "value": "result",
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "output_key",
+                                "advanced": true,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "return_source_documents": {
+                                "type": "bool",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "value": true,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "return_source_documents",
+                                "advanced": true,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "tags": {
+                                "type": "str",
+                                "required": false,
+                                "placeholder": "",
+                                "list": true,
+                                "show": false,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "tags",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "verbose": {
+                                "type": "bool",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": false,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "password": false,
+                                "name": "verbose",
+                                "advanced": true,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "_type": "RetrievalQA"
+                        },
+                        "description": "Chain for question-answering against an index.",
+                        "base_classes": [
+                            "Chain",
+                            "RetrievalQA",
+                            "BaseRetrievalQA",
+                            "Callable"
+                        ],
+                        "display_name": "RetrievalQA",
+                        "documentation": "https://python.langchain.com/docs/modules/chains/popular/vector_db_qa",
+                        "custom_fields": {},
+                        "output_types": [],
+                        "field_formatters": {},
+                        "beta": false
+                    },
+                    "id": "RetrievalQA-DpylI"
+                },
+                "selected": false,
+                "width": 384,
+                "height": 339,
+                "positionAbsolute": {
+                    "x": -1757.239471200792,
+                    "y": -1258.2132589352987
+                },
+                "dragging": true
+            },
+            {
+                "id": "CombineDocsChain-afKOq",
+                "type": "genericNode",
+                "position": {
+                    "x": -1775.9040057312934,
+                    "y": -1644.0423777157919
+                },
+                "data": {
+                    "type": "CombineDocsChain",
+                    "node": {
+                        "template": {
+                            "llm": {
+                                "type": "BaseLanguageModel",
+                                "required": true,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "value": "",
+                                "fileTypes": [],
+                                "file_path": "",
+                                "password": false,
+                                "name": "llm",
+                                "display_name": "LLM",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "chain_type": {
+                                "type": "str",
+                                "required": true,
+                                "placeholder": "",
+                                "list": true,
+                                "show": true,
+                                "multiline": false,
+                                "value": "refine",
+                                "fileTypes": [],
+                                "file_path": "",
+                                "password": false,
+                                "options": [
+                                    "stuff",
+                                    "map_reduce",
+                                    "map_rerank",
+                                    "refine"
+                                ],
+                                "name": "chain_type",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": ""
+                            },
+                            "_type": "load_qa_chain"
+                        },
+                        "description": "Load question answering chain.",
+                        "base_classes": [
+                            "BaseCombineDocumentsChain",
+                            "Callable"
+                        ],
+                        "display_name": "CombineDocsChain",
+                        "documentation": "",
+                        "custom_fields": {},
+                        "output_types": [],
+                        "field_formatters": {},
+                        "beta": false
+                    },
+                    "id": "CombineDocsChain-afKOq"
+                },
+                "selected": false,
+                "width": 384,
+                "height": 333,
+                "dragging": false,
+                "positionAbsolute": {
+                    "x": -1775.9040057312934,
+                    "y": -1644.0423777157919
+                }
+            },
+            {
+                "id": "SearchApi-kZmEj",
+                "type": "genericNode",
+                "position": {
+                    "x": -3074.364183247263,
+                    "y": -1782.5742787937606
+                },
+                "data": {
+                    "type": "SearchApi",
+                    "node": {
+                        "template": {
+                            "api_key": {
+                                "type": "str",
+                                "required": true,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "file_path": "",
+                                "password": true,
+                                "name": "api_key",
+                                "display_name": "API Key",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "The API key to use SearchApi.",
+                                "value": ""
+                            },
+                            "code": {
+                                "type": "code",
+                                "required": true,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": true,
+                                "value": "from langflow.custom import CustomComponent\nfrom langchain.schema import Document\nfrom langflow.services.database.models.base import orjson_dumps\nfrom langchain_community.utilities.searchapi import SearchApiAPIWrapper\nfrom typing import Optional\n\n\nclass SearchApi(CustomComponent):\n    display_name: str = \"SearchApi\"\n    description: str = \"Real-time search engines API.\"\n    output_types: list[str] = [\"Document\"]\n    documentation: str = \"https://www.searchapi.io/docs/google\"\n    field_config = {\n        \"engine\": {\n            \"display_name\": \"Engine\",\n            \"field_type\": \"str\",\n            \"info\": \"The search engine to use.\",\n        },\n        \"params\": {\n            \"display_name\": \"Parameters\",\n            \"info\": \"The parameters to send with the request.\",\n        },\n        \"code\": {\"show\": False},\n        \"api_key\": {\n            \"display_name\": \"API Key\",\n            \"field_type\": \"str\",\n            \"required\": True, \n            \"password\": True,\n            \"info\": \"The API key to use SearchApi.\",\n        },\n    }\n\n    def build(\n        self,\n        engine: str,\n        api_key: str,\n        params: Optional[dict] = None,\n    ) -> Document:\n        if params is None:\n            params = {}\n\n        search_api_wrapper = SearchApiAPIWrapper(engine=engine, searchapi_api_key=api_key)\n\n        query = params.pop(\"query\", \"default query\") \n        results = search_api_wrapper.results(query, **params)\n\n        result = orjson_dumps(results, indent_2=False)\n        \n        document = Document(page_content=result) \n\n        return document",
+                                "fileTypes": [],
+                                "file_path": "",
+                                "password": false,
+                                "name": "code",
+                                "advanced": false,
+                                "dynamic": true,
+                                "info": ""
+                            },
+                            "engine": {
+                                "type": "str",
+                                "required": true,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "file_path": "",
+                                "password": false,
+                                "name": "engine",
+                                "display_name": "Engine",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "The search engine to use.",
+                                "value": "youtube_transcripts"
+                            },
+                            "params": {
+                                "type": "dict",
+                                "required": false,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": false,
+                                "fileTypes": [],
+                                "file_path": "",
+                                "password": false,
+                                "name": "params",
+                                "display_name": "Parameters",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "The parameters to send with the request.",
+                                "value": [
+                                    {
+                                        "video_id": "krsBRQbOPQ4"
+                                    }
+                                ]
+                            },
+                            "_type": "CustomComponent"
+                        },
+                        "description": "Real-time search engines API.",
+                        "base_classes": [
+                            "Document"
+                        ],
+                        "display_name": "SearchApi",
+                        "documentation": "https://www.searchapi.io/docs/google",
+                        "custom_fields": {
+                            "api_key": null,
+                            "engine": null,
+                            "params": null
+                        },
+                        "output_types": [
+                            "SearchApi"
+                        ],
+                        "field_formatters": {},
+                        "beta": true
+                    },
+                    "id": "SearchApi-kZmEj"
+                },
+                "selected": false,
+                "width": 384,
+                "height": 539,
+                "dragging": false,
+                "positionAbsolute": {
+                    "x": -3074.364183247263,
+                    "y": -1782.5742787937606
+                }
+            }
+        ],
+        "edges": [
+            {
+                "source": "CharacterTextSplitter-WVMFU",
+                "sourceHandle": "{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCharacterTextSplitterœ,œidœ:œCharacterTextSplitter-WVMFUœ}",
+                "target": "Chroma-OtYDg",
+                "targetHandle": "{œfieldNameœ:œdocumentsœ,œidœ:œChroma-OtYDgœ,œinputTypesœ:null,œtypeœ:œDocumentœ}",
+                "data": {
+                    "targetHandle": {
+                        "fieldName": "documents",
+                        "id": "Chroma-OtYDg",
+                        "inputTypes": null,
+                        "type": "Document"
+                    },
+                    "sourceHandle": {
+                        "baseClasses": [
+                            "Document"
+                        ],
+                        "dataType": "CharacterTextSplitter",
+                        "id": "CharacterTextSplitter-WVMFU"
+                    }
+                },
+                "style": {
+                    "stroke": "#555"
+                },
+                "className": "stroke-gray-900  stroke-connection",
+                "animated": false,
+                "id": "reactflow__edge-CharacterTextSplitter-WVMFU{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCharacterTextSplitterœ,œidœ:œCharacterTextSplitter-WVMFUœ}-Chroma-OtYDg{œfieldNameœ:œdocumentsœ,œidœ:œChroma-OtYDgœ,œinputTypesœ:null,œtypeœ:œDocumentœ}"
+            },
+            {
+                "source": "OpenAIEmbeddings-9yqtI",
+                "sourceHandle": "{œbaseClassesœ:[œEmbeddingsœ,œOpenAIEmbeddingsœ],œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-9yqtIœ}",
+                "target": "Chroma-OtYDg",
+                "targetHandle": "{œfieldNameœ:œembeddingœ,œidœ:œChroma-OtYDgœ,œinputTypesœ:null,œtypeœ:œEmbeddingsœ}",
+                "data": {
+                    "targetHandle": {
+                        "fieldName": "embedding",
+                        "id": "Chroma-OtYDg",
+                        "inputTypes": null,
+                        "type": "Embeddings"
+                    },
+                    "sourceHandle": {
+                        "baseClasses": [
+                            "Embeddings",
+                            "OpenAIEmbeddings"
+                        ],
+                        "dataType": "OpenAIEmbeddings",
+                        "id": "OpenAIEmbeddings-9yqtI"
+                    }
+                },
+                "style": {
+                    "stroke": "#555"
+                },
+                "className": "stroke-gray-900  stroke-connection",
+                "animated": false,
+                "id": "reactflow__edge-OpenAIEmbeddings-9yqtI{œbaseClassesœ:[œEmbeddingsœ,œOpenAIEmbeddingsœ],œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-9yqtIœ}-Chroma-OtYDg{œfieldNameœ:œembeddingœ,œidœ:œChroma-OtYDgœ,œinputTypesœ:null,œtypeœ:œEmbeddingsœ}"
+            },
+            {
+                "source": "Chroma-OtYDg",
+                "sourceHandle": "{œbaseClassesœ:[œVectorStoreœ,œBaseRetrieverœ],œdataTypeœ:œChromaœ,œidœ:œChroma-OtYDgœ}",
+                "target": "RetrievalQA-DpylI",
+                "targetHandle": "{œfieldNameœ:œretrieverœ,œidœ:œRetrievalQA-DpylIœ,œinputTypesœ:null,œtypeœ:œBaseRetrieverœ}",
+                "data": {
+                    "targetHandle": {
+                        "fieldName": "retriever",
+                        "id": "RetrievalQA-DpylI",
+                        "inputTypes": null,
+                        "type": "BaseRetriever"
+                    },
+                    "sourceHandle": {
+                        "baseClasses": [
+                            "VectorStore",
+                            "BaseRetriever"
+                        ],
+                        "dataType": "Chroma",
+                        "id": "Chroma-OtYDg"
+                    }
+                },
+                "style": {
+                    "stroke": "#555"
+                },
+                "className": "stroke-gray-900  stroke-connection",
+                "animated": false,
+                "id": "reactflow__edge-Chroma-OtYDg{œbaseClassesœ:[œVectorStoreœ,œBaseRetrieverœ],œdataTypeœ:œChromaœ,œidœ:œChroma-OtYDgœ}-RetrievalQA-DpylI{œfieldNameœ:œretrieverœ,œidœ:œRetrievalQA-DpylIœ,œinputTypesœ:null,œtypeœ:œBaseRetrieverœ}"
+            },
+            {
+                "source": "ChatOpenAI-4Mfuz",
+                "sourceHandle": "{œbaseClassesœ:[œBaseLanguageModelœ,œBaseChatModelœ,œChatOpenAIœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-4Mfuzœ}",
+                "target": "CombineDocsChain-afKOq",
+                "targetHandle": "{œfieldNameœ:œllmœ,œidœ:œCombineDocsChain-afKOqœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}",
+                "data": {
+                    "targetHandle": {
+                        "fieldName": "llm",
+                        "id": "CombineDocsChain-afKOq",
+                        "inputTypes": null,
+                        "type": "BaseLanguageModel"
+                    },
+                    "sourceHandle": {
+                        "baseClasses": [
+                            "BaseLanguageModel",
+                            "BaseChatModel",
+                            "ChatOpenAI",
+                            "BaseLLM"
+                        ],
+                        "dataType": "ChatOpenAI",
+                        "id": "ChatOpenAI-4Mfuz"
+                    }
+                },
+                "style": {
+                    "stroke": "#555"
+                },
+                "className": "stroke-gray-900  stroke-connection",
+                "animated": false,
+                "id": "reactflow__edge-ChatOpenAI-4Mfuz{œbaseClassesœ:[œBaseLanguageModelœ,œBaseChatModelœ,œChatOpenAIœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-4Mfuzœ}-CombineDocsChain-afKOq{œfieldNameœ:œllmœ,œidœ:œCombineDocsChain-afKOqœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}"
+            },
+            {
+                "source": "CombineDocsChain-afKOq",
+                "sourceHandle": "{œbaseClassesœ:[œBaseCombineDocumentsChainœ,œCallableœ],œdataTypeœ:œCombineDocsChainœ,œidœ:œCombineDocsChain-afKOqœ}",
+                "target": "RetrievalQA-DpylI",
+                "targetHandle": "{œfieldNameœ:œcombine_documents_chainœ,œidœ:œRetrievalQA-DpylIœ,œinputTypesœ:null,œtypeœ:œBaseCombineDocumentsChainœ}",
+                "data": {
+                    "targetHandle": {
+                        "fieldName": "combine_documents_chain",
+                        "id": "RetrievalQA-DpylI",
+                        "inputTypes": null,
+                        "type": "BaseCombineDocumentsChain"
+                    },
+                    "sourceHandle": {
+                        "baseClasses": [
+                            "BaseCombineDocumentsChain",
+                            "Callable"
+                        ],
+                        "dataType": "CombineDocsChain",
+                        "id": "CombineDocsChain-afKOq"
+                    }
+                },
+                "style": {
+                    "stroke": "#555"
+                },
+                "className": "stroke-gray-900  stroke-connection",
+                "animated": false,
+                "id": "reactflow__edge-CombineDocsChain-afKOq{œbaseClassesœ:[œBaseCombineDocumentsChainœ,œCallableœ],œdataTypeœ:œCombineDocsChainœ,œidœ:œCombineDocsChain-afKOqœ}-RetrievalQA-DpylI{œfieldNameœ:œcombine_documents_chainœ,œidœ:œRetrievalQA-DpylIœ,œinputTypesœ:null,œtypeœ:œBaseCombineDocumentsChainœ}"
+            },
+            {
+                "source": "SearchApi-kZmEj",
+                "sourceHandle": "{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œSearchApiœ,œidœ:œSearchApi-kZmEjœ}",
+                "target": "CharacterTextSplitter-WVMFU",
+                "targetHandle": "{œfieldNameœ:œdocumentsœ,œidœ:œCharacterTextSplitter-WVMFUœ,œinputTypesœ:null,œtypeœ:œDocumentœ}",
+                "data": {
+                    "targetHandle": {
+                        "fieldName": "documents",
+                        "id": "CharacterTextSplitter-WVMFU",
+                        "inputTypes": null,
+                        "type": "Document"
+                    },
+                    "sourceHandle": {
+                        "baseClasses": [
+                            "Document"
+                        ],
+                        "dataType": "SearchApi",
+                        "id": "SearchApi-kZmEj"
+                    }
+                },
+                "style": {
+                    "stroke": "#555"
+                },
+                "className": "stroke-gray-900  stroke-connection",
+                "animated": false,
+                "id": "reactflow__edge-SearchApi-kZmEj{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œSearchApiœ,œidœ:œSearchApi-kZmEjœ}-CharacterTextSplitter-WVMFU{œfieldNameœ:œdocumentsœ,œidœ:œCharacterTextSplitter-WVMFUœ,œinputTypesœ:null,œtypeœ:œDocumentœ}"
+            }
+        ],
+        "viewport": {
+            "x": 2046.3642433866817,
+            "y": 1270.2852546488134,
+            "zoom": 0.6177254407441625
+        }
+    },
+    "description": "Real-time Google Search engine q&a.",
+    "name": "SearchApi Tool",
+    "last_tested_version": "0.6.5a9",
+    "is_component": false
+}
\ No newline at end of file
diff --git a/docs/static/logos/botmessage.svg b/docs/static/logos/botmessage.svg
new file mode 100644
index 00000000000..ab468da4157
--- /dev/null
+++ b/docs/static/logos/botmessage.svg
@@ -0,0 +1,8 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="white" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-bot-message-square">
+  <path d="M12 6V2H8" />
+  <path d="m8 18-4 4V8a2 2 0 0 1 2-2h12a2 2 0 0 1 2 2v8a2 2 0 0 1-2 2Z" />
+  <path d="M2 12h2" />
+  <path d="M9 11v2" />
+  <path d="M15 11v2" />
+  <path d="M20 12h2" />
+</svg> 
\ No newline at end of file
diff --git a/docs/static/logos/discord.svg b/docs/static/logos/discord.svg
deleted file mode 100644
index c03e8e12701..00000000000
--- a/docs/static/logos/discord.svg
+++ /dev/null
@@ -1,8 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<!-- Uploaded to: SVG Repo, www.svgrepo.com, Generator: SVG Repo Mixer Tools -->
-<svg width="800px" height="800px" viewBox="0 -28.5 256 256" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" preserveAspectRatio="xMidYMid">
-    <g>
-        <path d="M216.856339,16.5966031 C200.285002,8.84328665 182.566144,3.2084988 164.041564,0 C161.766523,4.11318106 159.108624,9.64549908 157.276099,14.0464379 C137.583995,11.0849896 118.072967,11.0849896 98.7430163,14.0464379 C96.9108417,9.64549908 94.1925838,4.11318106 91.8971895,0 C73.3526068,3.2084988 55.6133949,8.86399117 39.0420583,16.6376612 C5.61752293,67.146514 -3.4433191,116.400813 1.08711069,164.955721 C23.2560196,181.510915 44.7403634,191.567697 65.8621325,198.148576 C71.0772151,190.971126 75.7283628,183.341335 79.7352139,175.300261 C72.104019,172.400575 64.7949724,168.822202 57.8887866,164.667963 C59.7209612,163.310589 61.5131304,161.891452 63.2445898,160.431257 C105.36741,180.133187 151.134928,180.133187 192.754523,160.431257 C194.506336,161.891452 196.298154,163.310589 198.110326,164.667963 C191.183787,168.842556 183.854737,172.420929 176.223542,175.320965 C180.230393,183.341335 184.861538,190.991831 190.096624,198.16893 C211.238746,191.588051 232.743023,181.531619 254.911949,164.955721 C260.227747,108.668201 245.831087,59.8662432 216.856339,16.5966031 Z M85.4738752,135.09489 C72.8290281,135.09489 62.4592217,123.290155 62.4592217,108.914901 C62.4592217,94.5396472 72.607595,82.7145587 85.4738752,82.7145587 C98.3405064,82.7145587 108.709962,94.5189427 108.488529,108.914901 C108.508531,123.290155 98.3405064,135.09489 85.4738752,135.09489 Z M170.525237,135.09489 C157.88039,135.09489 147.510584,123.290155 147.510584,108.914901 C147.510584,94.5396472 157.658606,82.7145587 170.525237,82.7145587 C183.391518,82.7145587 193.761324,94.5189427 193.539891,108.914901 C193.539891,123.290155 183.391518,135.09489 170.525237,135.09489 Z" fill="#5865F2" fill-rule="nonzero">
-
</path>
-    </g>
-</svg>
\ No newline at end of file
diff --git a/docs/static/logos/discordDark.svg b/docs/static/logos/discordDark.svg
new file mode 100644
index 00000000000..5f782edd6b9
--- /dev/null
+++ b/docs/static/logos/discordDark.svg
@@ -0,0 +1,7 @@
+<svg xmlns="http://www.w3.org/2000/svg" fill="white" xmlns:xlink="http://www.w3.org/1999/xlink" width="800px" height="800px" viewBox="0 -28.5 256 256" version="1.1" preserveAspectRatio="xMidYMid">
+    <g>
+        <path d="M216.856339,16.5966031 C200.285002,8.84328665 182.566144,3.2084988 164.041564,0 C161.766523,4.11318106 159.108624,9.64549908 157.276099,14.0464379 C137.583995,11.0849896 118.072967,11.0849896 98.7430163,14.0464379 C96.9108417,9.64549908 94.1925838,4.11318106 91.8971895,0 C73.3526068,3.2084988 55.6133949,8.86399117 39.0420583,16.6376612 C5.61752293,67.146514 -3.4433191,116.400813 1.08711069,164.955721 C23.2560196,181.510915 44.7403634,191.567697 65.8621325,198.148576 C71.0772151,190.971126 75.7283628,183.341335 79.7352139,175.300261 C72.104019,172.400575 64.7949724,168.822202 57.8887866,164.667963 C59.7209612,163.310589 61.5131304,161.891452 63.2445898,160.431257 C105.36741,180.133187 151.134928,180.133187 192.754523,160.431257 C194.506336,161.891452 196.298154,163.310589 198.110326,164.667963 C191.183787,168.842556 183.854737,172.420929 176.223542,175.320965 C180.230393,183.341335 184.861538,190.991831 190.096624,198.16893 C211.238746,191.588051 232.743023,181.531619 254.911949,164.955721 C260.227747,108.668201 245.831087,59.8662432 216.856339,16.5966031 Z M85.4738752,135.09489 C72.8290281,135.09489 62.4592217,123.290155 62.4592217,108.914901 C62.4592217,94.5396472 72.607595,82.7145587 85.4738752,82.7145587 C98.3405064,82.7145587 108.709962,94.5189427 108.488529,108.914901 C108.508531,123.290155 98.3405064,135.09489 85.4738752,135.09489 Z M170.525237,135.09489 C157.88039,135.09489 147.510584,123.290155 147.510584,108.914901 C147.510584,94.5396472 157.658606,82.7145587 170.525237,82.7145587 C183.391518,82.7145587 193.761324,94.5189427 193.539891,108.914901 C193.539891,123.290155 183.391518,135.09489 170.525237,135.09489 Z" fill="white" fill-rule="nonzero">
+
+</path>
+    </g>
+</svg>
\ No newline at end of file
diff --git a/docs/static/logos/discordLight.svg b/docs/static/logos/discordLight.svg
new file mode 100644
index 00000000000..86084bc4f98
--- /dev/null
+++ b/docs/static/logos/discordLight.svg
@@ -0,0 +1,7 @@
+<svg xmlns="http://www.w3.org/2000/svg" fill="white" xmlns:xlink="http://www.w3.org/1999/xlink" width="800px" height="800px" viewBox="0 -28.5 256 256" version="1.1" preserveAspectRatio="xMidYMid">
+    <g>
+        <path d="M216.856339,16.5966031 C200.285002,8.84328665 182.566144,3.2084988 164.041564,0 C161.766523,4.11318106 159.108624,9.64549908 157.276099,14.0464379 C137.583995,11.0849896 118.072967,11.0849896 98.7430163,14.0464379 C96.9108417,9.64549908 94.1925838,4.11318106 91.8971895,0 C73.3526068,3.2084988 55.6133949,8.86399117 39.0420583,16.6376612 C5.61752293,67.146514 -3.4433191,116.400813 1.08711069,164.955721 C23.2560196,181.510915 44.7403634,191.567697 65.8621325,198.148576 C71.0772151,190.971126 75.7283628,183.341335 79.7352139,175.300261 C72.104019,172.400575 64.7949724,168.822202 57.8887866,164.667963 C59.7209612,163.310589 61.5131304,161.891452 63.2445898,160.431257 C105.36741,180.133187 151.134928,180.133187 192.754523,160.431257 C194.506336,161.891452 196.298154,163.310589 198.110326,164.667963 C191.183787,168.842556 183.854737,172.420929 176.223542,175.320965 C180.230393,183.341335 184.861538,190.991831 190.096624,198.16893 C211.238746,191.588051 232.743023,181.531619 254.911949,164.955721 C260.227747,108.668201 245.831087,59.8662432 216.856339,16.5966031 Z M85.4738752,135.09489 C72.8290281,135.09489 62.4592217,123.290155 62.4592217,108.914901 C62.4592217,94.5396472 72.607595,82.7145587 85.4738752,82.7145587 C98.3405064,82.7145587 108.709962,94.5189427 108.488529,108.914901 C108.508531,123.290155 98.3405064,135.09489 85.4738752,135.09489 Z M170.525237,135.09489 C157.88039,135.09489 147.510584,123.290155 147.510584,108.914901 C147.510584,94.5396472 157.658606,82.7145587 170.525237,82.7145587 C183.391518,82.7145587 193.761324,94.5189427 193.539891,108.914901 C193.539891,123.290155 183.391518,135.09489 170.525237,135.09489 Z" fill="black" fill-rule="nonzero">
+
+</path>
+    </g>
+</svg>
\ No newline at end of file
diff --git a/docs/static/logos/gitDark.svg b/docs/static/logos/gitDark.svg
new file mode 100644
index 00000000000..51944a7ff5d
--- /dev/null
+++ b/docs/static/logos/gitDark.svg
@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" focusable="false" viewBox="0 0 24 24" color="black" style="user-select: none; width: 100%; height: 100%; display: inline-block; fill: white; flex-shrink: 0;"><path d="M12 .3a12 12 0 0 0-3.8 23.4c.6.1.8-.3.8-.6v-2c-3.3.7-4-1.6-4-1.6-.6-1.4-1.4-1.8-1.4-1.8-1-.7.1-.7.1-.7 1.2 0 1.9 1.2 1.9 1.2 1 1.8 2.8 1.3 3.5 1 0-.8.4-1.3.7-1.6-2.7-.3-5.5-1.3-5.5-6 0-1.2.5-2.3 1.3-3.1-.2-.4-.6-1.6 0-3.2 0 0 1-.3 3.4 1.2a11.5 11.5 0 0 1 6 0c2.3-1.5 3.3-1.2 3.3-1.2.6 1.6.2 2.8 0 3.2.9.8 1.3 1.9 1.3 3.2 0 4.6-2.8 5.6-5.5 5.9.5.4.9 1 .9 2.2v3.3c0 .3.1.7.8.6A12 12 0 0 0 12 .3"></path></svg>
\ No newline at end of file
diff --git a/docs/static/logos/gitLight.svg b/docs/static/logos/gitLight.svg
new file mode 100644
index 00000000000..ed869f44d91
--- /dev/null
+++ b/docs/static/logos/gitLight.svg
@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" focusable="false" viewBox="0 0 24 24" color="black" style="user-select: none; width: 100%; height: 100%; display: inline-block; fill: black; flex-shrink: 0;"><path d="M12 .3a12 12 0 0 0-3.8 23.4c.6.1.8-.3.8-.6v-2c-3.3.7-4-1.6-4-1.6-.6-1.4-1.4-1.8-1.4-1.8-1-.7.1-.7.1-.7 1.2 0 1.9 1.2 1.9 1.2 1 1.8 2.8 1.3 3.5 1 0-.8.4-1.3.7-1.6-2.7-.3-5.5-1.3-5.5-6 0-1.2.5-2.3 1.3-3.1-.2-.4-.6-1.6 0-3.2 0 0 1-.3 3.4 1.2a11.5 11.5 0 0 1 6 0c2.3-1.5 3.3-1.2 3.3-1.2.6 1.6.2 2.8 0 3.2.9.8 1.3 1.9 1.3 3.2 0 4.6-2.8 5.6-5.5 5.9.5.4.9 1 .9 2.2v3.3c0 .3.1.7.8.6A12 12 0 0 0 12 .3"></path></svg>
\ No newline at end of file
diff --git a/docs/static/logos/github.svg b/docs/static/logos/github.svg
deleted file mode 100644
index 5b1d5da943c..00000000000
--- a/docs/static/logos/github.svg
+++ /dev/null
@@ -1,3 +0,0 @@
-<svg width="17" height="16" viewBox="0 0 17 16" fill="none" xmlns="http://www.w3.org/2000/svg">
-<path d="M8.75 0C4.19409 0 0.5 3.675 0.5 8.20357C0.5 11.8286 2.86451 14.9 6.14241 15.9857C6.19397 15.9964 6.23817 16 6.28237 16C6.58806 16 6.70592 15.7821 6.70592 15.5929C6.70592 15.3964 6.69855 14.8821 6.69487 14.1964C6.38549 14.2643 6.10926 14.2929 5.8625 14.2929C4.27511 14.2929 3.91417 13.0964 3.91417 13.0964C3.5385 12.15 2.9971 11.8964 2.9971 11.8964C2.27891 11.4071 2.99342 11.3929 3.04866 11.3929H3.05234C3.88103 11.4643 4.31563 12.2429 4.31563 12.2429C4.72813 12.9429 5.28058 13.1393 5.77411 13.1393C6.16083 13.1393 6.51071 13.0179 6.71696 12.925C6.79063 12.3964 7.00424 12.0357 7.23996 11.8286C5.40949 11.6214 3.48326 10.9179 3.48326 7.775C3.48326 6.87857 3.80368 6.14643 4.33036 5.575C4.24565 5.36786 3.96205 4.53214 4.41138 3.40357C4.41138 3.40357 4.47031 3.38571 4.59554 3.38571C4.89386 3.38571 5.56786 3.49643 6.68013 4.24643C7.3394 4.06429 8.04286 3.975 8.74632 3.97143C9.44609 3.975 10.1532 4.06429 10.8125 4.24643C11.9248 3.49643 12.5988 3.38571 12.8971 3.38571C13.0223 3.38571 13.0813 3.40357 13.0813 3.40357C13.5306 4.53214 13.247 5.36786 13.1623 5.575C13.689 6.15 14.0094 6.88214 14.0094 7.775C14.0094 10.925 12.0795 11.6179 10.2416 11.8214C10.5363 12.075 10.8015 12.575 10.8015 13.3393C10.8015 14.4357 10.7904 15.3214 10.7904 15.5893C10.7904 15.7821 10.9046 16 11.2103 16C11.2545 16 11.306 15.9964 11.3576 15.9857C14.6392 14.9 17 11.825 17 8.20357C17 3.675 13.3059 0 8.75 0Z" fill="#92A0B3"/>
-</svg>
diff --git a/docs/static/logos/greencheck.svg b/docs/static/logos/greencheck.svg
new file mode 100644
index 00000000000..842be95f7ad
--- /dev/null
+++ b/docs/static/logos/greencheck.svg
@@ -0,0 +1,11 @@
+<svg
+  xmlns="http://www.w3.org/2000/svg"
+  fill="none"
+  viewBox="0 0 24 24"
+  stroke="green"
+  stroke-width="1.5"
+  stroke-linecap="round"
+  stroke-linejoin="round"
+>
+  <path d="M20 6 9 17l-5-5" />
+</svg>
diff --git a/docs/static/logos/playbutton.svg b/docs/static/logos/playbutton.svg
new file mode 100644
index 00000000000..97840747384
--- /dev/null
+++ b/docs/static/logos/playbutton.svg
@@ -0,0 +1,11 @@
+<svg
+  xmlns="http://www.w3.org/2000/svg"
+  fill="none"
+  viewBox="0 0 24 24"
+  stroke="white"
+  stroke-width="2"
+  stroke-linecap="round"
+  stroke-linejoin="round"
+>
+  <polygon points="5,3 19,12 5,21 5,3" fill="currentColor" />
+</svg>
diff --git a/docs/static/logos/twitter.svg b/docs/static/logos/twitter.svg
deleted file mode 100644
index 027488d3ca8..00000000000
--- a/docs/static/logos/twitter.svg
+++ /dev/null
@@ -1,3 +0,0 @@
-<svg width="18" height="18" viewBox="0 0 24 20" fill="none" xmlns="http://www.w3.org/2000/svg">
-<path fill-rule="evenodd" clip-rule="evenodd" d="M24 2.36764C23.1181 2.76923 22.1687 3.04081 21.1728 3.16215C22.1898 2.5381 22.9703 1.54857 23.338 0.369812C22.3856 0.947636 21.3334 1.368 20.2092 1.59334C19.3133 0.612492 18.0328 0 16.6156 0C13.8983 0 11.6936 2.26074 11.6936 5.04874C11.6936 5.44456 11.7359 5.82881 11.8204 6.19862C7.72812 5.98771 4.10072 3.97977 1.67071 0.921629C1.24669 1.66992 1.00439 2.5381 1.00439 3.46262C1.00439 5.21343 1.87357 6.75911 3.19493 7.66485C2.38915 7.64029 1.62845 7.41061 0.963547 7.03502V7.09713C0.963547 9.54422 2.66102 11.5854 4.91495 12.0476C4.5022 12.1661 4.06691 12.2253 3.61754 12.2253C3.30058 12.2253 2.99066 12.195 2.69062 12.1358C3.31748 14.1408 5.1347 15.6013 7.29001 15.6403C5.6052 16.9953 3.48089 17.8028 1.17485 17.8028C0.777598 17.8028 0.384575 17.7796 0 17.7334C2.17926 19.1636 4.76844 20 7.54781 20C16.6057 20 21.5573 12.3077 21.5573 5.63524C21.5573 5.41566 21.5531 5.19609 21.5447 4.98084C22.5067 4.26868 23.3422 3.38027 24 2.36764Z" fill="#00AAEC"/>
-</svg>
diff --git a/docs/static/logos/xDark.svg b/docs/static/logos/xDark.svg
new file mode 100644
index 00000000000..f40b99e71f0
--- /dev/null
+++ b/docs/static/logos/xDark.svg
@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="300" height="300.251" version="1.1" fill="white">
+ <path d="M178.57 127.15 290.27 0h-26.46l-97.03 110.38L89.34 0H0l117.13 166.93L0 300.25h26.46l102.4-116.59 81.8 116.59h89.34M36.01 19.54H76.66l187.13 262.13h-40.66"/>
+</svg>
\ No newline at end of file
diff --git a/docs/static/logos/xLight.svg b/docs/static/logos/xLight.svg
new file mode 100644
index 00000000000..9a15d231f74
--- /dev/null
+++ b/docs/static/logos/xLight.svg
@@ -0,0 +1,4 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<svg width="300" height="300.251" version="1.1" xmlns="http://www.w3.org/2000/svg">
+ <path d="M178.57 127.15 290.27 0h-26.46l-97.03 110.38L89.34 0H0l117.13 166.93L0 300.25h26.46l102.4-116.59 81.8 116.59h89.34M36.01 19.54H76.66l187.13 262.13h-40.66"/>
+</svg>
\ No newline at end of file
diff --git a/docs/static/videos/chat_memory.mp4 b/docs/static/videos/chat_memory.mp4
new file mode 100644
index 00000000000..ffed26a742a
Binary files /dev/null and b/docs/static/videos/chat_memory.mp4 differ
diff --git a/docs/static/videos/combine_text.mp4 b/docs/static/videos/combine_text.mp4
new file mode 100644
index 00000000000..7e48303c228
Binary files /dev/null and b/docs/static/videos/combine_text.mp4 differ
diff --git a/docs/static/videos/create_record.mp4 b/docs/static/videos/create_record.mp4
new file mode 100644
index 00000000000..558f702e349
Binary files /dev/null and b/docs/static/videos/create_record.mp4 differ
diff --git a/docs/static/videos/langflow_global_variables.mp4 b/docs/static/videos/langflow_global_variables.mp4
new file mode 100644
index 00000000000..8be58e77997
Binary files /dev/null and b/docs/static/videos/langflow_global_variables.mp4 differ
diff --git a/docs/static/videos/langflow_playground.mp4 b/docs/static/videos/langflow_playground.mp4
new file mode 100644
index 00000000000..aa7488c5f99
Binary files /dev/null and b/docs/static/videos/langflow_playground.mp4 differ
diff --git a/docs/static/videos/pass.mp4 b/docs/static/videos/pass.mp4
new file mode 100644
index 00000000000..bb062364e7e
Binary files /dev/null and b/docs/static/videos/pass.mp4 differ
diff --git a/docs/static/videos/store_message.mp4 b/docs/static/videos/store_message.mp4
new file mode 100644
index 00000000000..c8352da0e13
Binary files /dev/null and b/docs/static/videos/store_message.mp4 differ
diff --git a/docs/static/videos/sub_flow.mp4 b/docs/static/videos/sub_flow.mp4
new file mode 100644
index 00000000000..24222e815df
Binary files /dev/null and b/docs/static/videos/sub_flow.mp4 differ
diff --git a/docs/static/videos/text_operator.mp4 b/docs/static/videos/text_operator.mp4
new file mode 100644
index 00000000000..3124e6bc4d9
Binary files /dev/null and b/docs/static/videos/text_operator.mp4 differ
diff --git a/docs/docs/deployment/jina-deployment.md b/eslint.config.js
similarity index 100%
rename from docs/docs/deployment/jina-deployment.md
rename to eslint.config.js
diff --git a/example.har b/example.har
deleted file mode 100644
index 5021c7da5af..00000000000
--- a/example.har
+++ /dev/null
@@ -1,599 +0,0 @@
-{
-  "log": {
-    "version": "1.2",
-    "creator": {
-      "name": "Playwright",
-      "version": "1.39.0"
-    },
-    "browser": {
-      "name": "chromium",
-      "version": "119.0.6045.9"
-    },
-    "entries": [
-      {
-        "startedDateTime": "2023-12-11T18:54:58.349Z",
-        "time": 1.142,
-        "request": {
-          "method": "GET",
-          "url": "http://localhost:3000/api/v1/store/check/",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Accept", "value": "application/json, text/plain, */*" },
-            { "name": "Accept-Encoding", "value": "gzip, deflate, br" },
-            { "name": "Accept-Language", "value": "en-US,en;q=0.9" },
-            { "name": "Connection", "value": "keep-alive" },
-            { "name": "Host", "value": "localhost:3000" },
-            { "name": "Referer", "value": "http://localhost:3000/" },
-            { "name": "Sec-Fetch-Dest", "value": "empty" },
-            { "name": "Sec-Fetch-Mode", "value": "cors" },
-            { "name": "Sec-Fetch-Site", "value": "same-origin" },
-            { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" },
-            { "name": "sec-ch-ua", "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" },
-            { "name": "sec-ch-ua-mobile", "value": "?0" },
-            { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
-          ],
-          "queryString": [],
-          "headersSize": -1,
-          "bodySize": -1
-        },
-        "response": {
-          "status": 200,
-          "statusText": "OK",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Access-Control-Allow-Origin", "value": "*" },
-            { "name": "connection", "value": "close" },
-            { "name": "content-length", "value": "16" },
-            { "name": "content-type", "value": "application/json" },
-            { "name": "date", "value": "Mon, 11 Dec 2023 18:54:57 GMT" },
-            { "name": "server", "value": "uvicorn" }
-          ],
-          "content": {
-            "size": -1,
-            "mimeType": "application/json",
-            "text": "{\"enabled\":true}"
-          },
-          "headersSize": -1,
-          "bodySize": -1,
-          "redirectURL": ""
-        },
-        "cache": {},
-        "timings": { "send": -1, "wait": -1, "receive": 1.142 }
-      },
-      {
-        "startedDateTime": "2023-12-11T18:54:58.349Z",
-        "time": 0.484,
-        "request": {
-          "method": "GET",
-          "url": "http://localhost:3000/api/v1/store/check/api_key",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Accept", "value": "application/json, text/plain, */*" },
-            { "name": "Accept-Encoding", "value": "gzip, deflate, br" },
-            { "name": "Accept-Language", "value": "en-US,en;q=0.9" },
-            { "name": "Connection", "value": "keep-alive" },
-            { "name": "Host", "value": "localhost:3000" },
-            { "name": "Referer", "value": "http://localhost:3000/" },
-            { "name": "Sec-Fetch-Dest", "value": "empty" },
-            { "name": "Sec-Fetch-Mode", "value": "cors" },
-            { "name": "Sec-Fetch-Site", "value": "same-origin" },
-            { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" },
-            { "name": "sec-ch-ua", "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" },
-            { "name": "sec-ch-ua-mobile", "value": "?0" },
-            { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
-          ],
-          "queryString": [],
-          "headersSize": -1,
-          "bodySize": -1
-        },
-        "response": {
-          "status": 403,
-          "statusText": "Forbidden",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Access-Control-Allow-Origin", "value": "*" },
-            { "name": "connection", "value": "close" },
-            { "name": "content-length", "value": "73" },
-            { "name": "content-type", "value": "application/json" },
-            { "name": "date", "value": "Mon, 11 Dec 2023 18:54:57 GMT" },
-            { "name": "server", "value": "uvicorn" }
-          ],
-          "content": {
-            "size": -1,
-            "mimeType": "application/json",
-            "text": "{\"detail\":\"An API key as query or header, or a JWT token must be passed\"}"
-          },
-          "headersSize": -1,
-          "bodySize": -1,
-          "redirectURL": ""
-        },
-        "cache": {},
-        "timings": { "send": -1, "wait": -1, "receive": 0.484 }
-      },
-      {
-        "startedDateTime": "2023-12-11T18:54:58.349Z",
-        "time": 0.476,
-        "request": {
-          "method": "GET",
-          "url": "http://localhost:3000/api/v1/version",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Accept", "value": "application/json, text/plain, */*" },
-            { "name": "Accept-Encoding", "value": "gzip, deflate, br" },
-            { "name": "Accept-Language", "value": "en-US,en;q=0.9" },
-            { "name": "Connection", "value": "keep-alive" },
-            { "name": "Host", "value": "localhost:3000" },
-            { "name": "Referer", "value": "http://localhost:3000/" },
-            { "name": "Sec-Fetch-Dest", "value": "empty" },
-            { "name": "Sec-Fetch-Mode", "value": "cors" },
-            { "name": "Sec-Fetch-Site", "value": "same-origin" },
-            { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" },
-            { "name": "sec-ch-ua", "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" },
-            { "name": "sec-ch-ua-mobile", "value": "?0" },
-            { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
-          ],
-          "queryString": [],
-          "headersSize": -1,
-          "bodySize": -1
-        },
-        "response": {
-          "status": 200,
-          "statusText": "OK",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Access-Control-Allow-Origin", "value": "*" },
-            { "name": "connection", "value": "close" },
-            { "name": "content-length", "value": "22" },
-            { "name": "content-type", "value": "application/json" },
-            { "name": "date", "value": "Mon, 11 Dec 2023 18:54:57 GMT" },
-            { "name": "server", "value": "uvicorn" }
-          ],
-          "content": {
-            "size": -1,
-            "mimeType": "application/json",
-            "text": "{\"version\":\"0.6.0rc1\"}"
-          },
-          "headersSize": -1,
-          "bodySize": -1,
-          "redirectURL": ""
-        },
-        "cache": {},
-        "timings": { "send": -1, "wait": -1, "receive": 0.476 }
-      },
-      {
-        "startedDateTime": "2023-12-11T18:54:58.349Z",
-        "time": 0.59,
-        "request": {
-          "method": "GET",
-          "url": "http://localhost:3000/api/v1/auto_login",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Accept", "value": "application/json, text/plain, */*" },
-            { "name": "Accept-Encoding", "value": "gzip, deflate, br" },
-            { "name": "Accept-Language", "value": "en-US,en;q=0.9" },
-            { "name": "Connection", "value": "keep-alive" },
-            { "name": "Host", "value": "localhost:3000" },
-            { "name": "Referer", "value": "http://localhost:3000/" },
-            { "name": "Sec-Fetch-Dest", "value": "empty" },
-            { "name": "Sec-Fetch-Mode", "value": "cors" },
-            { "name": "Sec-Fetch-Site", "value": "same-origin" },
-            { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" },
-            { "name": "sec-ch-ua", "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" },
-            { "name": "sec-ch-ua-mobile", "value": "?0" },
-            { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
-          ],
-          "queryString": [],
-          "headersSize": -1,
-          "bodySize": -1
-        },
-        "response": {
-          "status": 200,
-          "statusText": "OK",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Access-Control-Allow-Origin", "value": "*" },
-            { "name": "connection", "value": "close" },
-            { "name": "content-length", "value": "227" },
-            { "name": "content-type", "value": "application/json" },
-            { "name": "date", "value": "Mon, 11 Dec 2023 18:54:57 GMT" },
-            { "name": "server", "value": "uvicorn" }
-          ],
-          "content": {
-            "size": -1,
-            "mimeType": "application/json",
-            "text": "{\"access_token\":\"eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20\",\"refresh_token\":null,\"token_type\":\"bearer\"}"
-          },
-          "headersSize": -1,
-          "bodySize": -1,
-          "redirectURL": ""
-        },
-        "cache": {},
-        "timings": { "send": -1, "wait": -1, "receive": 0.59 }
-      },
-      {
-        "startedDateTime": "2023-12-11T18:54:58.380Z",
-        "time": 0.762,
-        "request": {
-          "method": "GET",
-          "url": "http://localhost:3000/api/v1/store/check/api_key",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Accept", "value": "application/json, text/plain, */*" },
-            { "name": "Accept-Encoding", "value": "gzip, deflate, br" },
-            { "name": "Accept-Language", "value": "en-US,en;q=0.9" },
-            { "name": "Connection", "value": "keep-alive" },
-            { "name": "Host", "value": "localhost:3000" },
-            { "name": "Referer", "value": "http://localhost:3000/" },
-            { "name": "Sec-Fetch-Dest", "value": "empty" },
-            { "name": "Sec-Fetch-Mode", "value": "cors" },
-            { "name": "Sec-Fetch-Site", "value": "same-origin" },
-            { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" },
-            { "name": "sec-ch-ua", "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" },
-            { "name": "sec-ch-ua-mobile", "value": "?0" },
-            { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
-          ],
-          "queryString": [],
-          "headersSize": -1,
-          "bodySize": -1
-        },
-        "response": {
-          "status": 403,
-          "statusText": "Forbidden",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Access-Control-Allow-Origin", "value": "*" },
-            { "name": "connection", "value": "close" },
-            { "name": "content-length", "value": "73" },
-            { "name": "content-type", "value": "application/json" },
-            { "name": "date", "value": "Mon, 11 Dec 2023 18:54:58 GMT" },
-            { "name": "server", "value": "uvicorn" }
-          ],
-          "content": {
-            "size": -1,
-            "mimeType": "application/json",
-            "text": "{\"detail\":\"An API key as query or header, or a JWT token must be passed\"}"
-          },
-          "headersSize": -1,
-          "bodySize": -1,
-          "redirectURL": ""
-        },
-        "cache": {},
-        "timings": { "send": -1, "wait": -1, "receive": 0.762 }
-      },
-      {
-        "startedDateTime": "2023-12-11T18:54:58.423Z",
-        "time": 1.03,
-        "request": {
-          "method": "GET",
-          "url": "http://localhost:3000/api/v1/flows/",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Accept", "value": "application/json, text/plain, */*" },
-            { "name": "Accept-Encoding", "value": "gzip, deflate, br" },
-            { "name": "Accept-Language", "value": "en-US,en;q=0.9" },
-            { "name": "Authorization", "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20" },
-            { "name": "Connection", "value": "keep-alive" },
-            { "name": "Cookie", "value": "access_tkn_lflw=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20; refresh_tkn_lflw=auto" },
-            { "name": "Host", "value": "localhost:3000" },
-            { "name": "Referer", "value": "http://localhost:3000/flows" },
-            { "name": "Sec-Fetch-Dest", "value": "empty" },
-            { "name": "Sec-Fetch-Mode", "value": "cors" },
-            { "name": "Sec-Fetch-Site", "value": "same-origin" },
-            { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" },
-            { "name": "sec-ch-ua", "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" },
-            { "name": "sec-ch-ua-mobile", "value": "?0" },
-            { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
-          ],
-          "queryString": [],
-          "headersSize": -1,
-          "bodySize": -1
-        },
-        "response": {
-          "status": 200,
-          "statusText": "OK",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Access-Control-Allow-Origin", "value": "*" },
-            { "name": "connection", "value": "close" },
-            { "name": "content-length", "value": "375696" },
-            { "name": "content-type", "value": "application/json" },
-            { "name": "date", "value": "Mon, 11 Dec 2023 18:54:58 GMT" },
-            { "name": "server", "value": "uvicorn" }
-          ],
-          "content": {
-            "size": -1,
-            "mimeType": "application/json",
-            "text": "[{\"name\":\"Awesome Euclid\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":374,\"id\":\"PromptTemplate-m2yFu\",\"type\":\"genericNode\",\"position\":{\"x\":462.6456058272081,\"y\":1033.9314297130313},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"transcription\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"create an image prompt based on the song's lyrics to be used as the album cover of this song:\\n\\nlyrics:\\n{transcription}\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"transcription\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"transcription\",\"display_name\":\"transcription\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"PromptTemplate\",\"StringPromptTemplate\",\"BasePromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"transcription\"],\"template\":[\"transcription\",\"question\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-m2yFu\"},\"selected\":false,\"positionAbsolute\":{\"x\":462.6456058272081,\"y\":1033.9314297130313},\"dragging\":false},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-urapv\",\"type\":\"genericNode\",\"position\":{\"x\":189.94856095084924,\"y\":-85.06556385338186},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-urapv\"},\"selected\":false,\"positionAbsolute\":{\"x\":189.94856095084924,\"y\":-85.06556385338186},\"dragging\":false},{\"width\":384,\"height\":806,\"id\":\"CustomComponent-IEIUl\",\"type\":\"genericNode\",\"position\":{\"x\":2364.865919667005,\"y\":88.43094097025096},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nfrom platformdirs import user_cache_dir\\nimport base64\\nfrom PIL import Image\\nfrom io import BytesIO\\nfrom openai import OpenAI\\nfrom pathlib import Path\\n\\nclass Component(CustomComponent):\\n    display_name: str = \\\"Image generator\\\"\\n    description: str = \\\"generate images using Dall-E\\\"\\n    documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n    def build_config(self):\\n        return {\\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\",\\\"input_types\\\":[\\\"str\\\"]},\\n        \\\"api_key\\\":{\\\"display_name\\\":\\\"OpenAI API key\\\",\\\"password\\\":True},\\n        \\\"model\\\":{\\\"display_name\\\":\\\"Model name\\\",\\\"advanced\\\":True,\\\"options\\\":[\\\"dall-e-2\\\",\\\"dall-e-3\\\"], \\\"value\\\":\\\"dall-e-3\\\"},\\n        \\\"file_name\\\":{\\\"display_name\\\":\\\"File Name\\\"},\\n        \\\"output_format\\\":{\\\"display_name\\\":\\\"Output format\\\",\\\"options\\\":[\\\"jpeg\\\",\\\"png\\\"],\\\"value\\\":\\\"jpeg\\\"},\\n        \\\"width\\\":{\\\"display_name\\\":\\\"Width\\\" ,\\\"value\\\":1024},\\n        \\\"height\\\":{\\\"display_name\\\":\\\"Height\\\", \\\"value\\\":1024}\\n        }\\n\\n    def build(self, prompt:str,api_key:str,model:str,file_name:str,output_format:str,width:int,height:int):\\n        client = OpenAI(api_key=api_key)\\n        cache_dir = Path(user_cache_dir(\\\"langflow\\\"))\\n        images_dir = cache_dir / \\\"images\\\"\\n        images_dir.mkdir(parents=True, exist_ok=True)\\n        image_path = images_dir / f\\\"{file_name}.{output_format}\\\"\\n        response = client.images.generate(\\n          model=model,\\n          prompt=prompt,\\n          size=f\\\"{height}x{width}\\\",\\n          response_format=\\\"b64_json\\\",\\n          n=1,\\n        )\\n        # Decode base64-encoded image string\\n        binary_data = base64.b64decode(response.data[0].b64_json)\\n        # Create PIL Image object from binary image data\\n        image_pil = Image.open(BytesIO(binary_data))\\n        image_pil.save(image_path, format=output_format.upper())\\n        return \\\"\\\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"api_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"api_key\",\"display_name\":\"OpenAI API key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"file_name\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"file_name\",\"display_name\":\"File Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"album\"},\"height\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1024,\"password\":false,\"name\":\"height\",\"display_name\":\"Height\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"dall-e-3\",\"password\":false,\"options\":[\"dall-e-2\",\"dall-e-3\"],\"name\":\"model\",\"display_name\":\"Model name\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"output_format\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"jpeg\",\"password\":false,\"options\":[\"jpeg\",\"png\"],\"name\":\"output_format\",\"display_name\":\"Output format\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"input_types\":[\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"width\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1024,\"password\":false,\"name\":\"width\",\"display_name\":\"Width\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false}},\"description\":\"generate images using Dall-E\",\"base_classes\":[\"Data\"],\"display_name\":\"Image generator\",\"custom_fields\":{\"api_key\":null,\"file_name\":null,\"height\":null,\"model\":null,\"output_format\":null,\"prompt\":null,\"width\":null},\"output_types\":[\"Data\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-IEIUl\"},\"selected\":false,\"positionAbsolute\":{\"x\":2364.865919667005,\"y\":88.43094097025096}},{\"width\":384,\"height\":338,\"id\":\"LLMChain-KlJb3\",\"type\":\"genericNode\",\"position\":{\"x\":1242.9851164540805,\"y\":-139.74634696823108},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-KlJb3\"},\"selected\":false,\"positionAbsolute\":{\"x\":1242.9851164540805,\"y\":-139.74634696823108},\"dragging\":false},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-bCuc0\",\"type\":\"genericNode\",\"position\":{\"x\":1747.8107777342625,\"y\":319.13729017446667},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\n\\nclass Component(CustomComponent):\\n    display_name: str = \\\"Custom Component\\\"\\n    description: str = \\\"Create any custom component you want!\\\"\\n    documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n    def build_config(self):\\n        return {\\\"param\\\": {\\\"display_name\\\": \\\"Parameter\\\"}}\\n\\n    def build(self, param: Chain) -> str:\\n        result = param.run({})\\n        self.status = result\\n        return result\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"param\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"param\",\"display_name\":\"Parameter\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Chain\",\"list\":false}},\"description\":\"Create any custom component you want!\",\"base_classes\":[\"str\"],\"display_name\":\"Custom Component\",\"custom_fields\":{\"param\":null},\"output_types\":[\"str\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-bCuc0\"},\"selected\":false,\"positionAbsolute\":{\"x\":1747.8107777342625,\"y\":319.13729017446667}}],\"edges\":[{\"source\":\"LLMChain-KlJb3\",\"target\":\"CustomComponent-bCuc0\",\"sourceHandle\":\"{œbaseClassesœ:[œChainœ,œCallableœ],œdataTypeœ:œLLMChainœ,œidœ:œLLMChain-KlJb3œ}\",\"targetHandle\":\"{œfieldNameœ:œparamœ,œidœ:œCustomComponent-bCuc0œ,œinputTypesœ:null,œtypeœ:œChainœ}\",\"id\":\"reactflow__edge-LLMChain-KlJb3{œbaseClassesœ:[œChainœ,œCallableœ],œdataTypeœ:œLLMChainœ,œidœ:œLLMChain-KlJb3œ}-CustomComponent-bCuc0{œfieldNameœ:œparamœ,œidœ:œCustomComponent-bCuc0œ,œinputTypesœ:null,œtypeœ:œChainœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"param\",\"id\":\"CustomComponent-bCuc0\",\"inputTypes\":null,\"type\":\"Chain\"},\"sourceHandle\":{\"baseClasses\":[\"Chain\",\"Callable\"],\"dataType\":\"LLMChain\",\"id\":\"LLMChain-KlJb3\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"ChatOpenAI-urapv\",\"target\":\"LLMChain-KlJb3\",\"sourceHandle\":\"{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-urapvœ}\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"id\":\"reactflow__edge-ChatOpenAI-urapv{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-urapvœ}-LLMChain-KlJb3{œfieldNameœ:œllmœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-KlJb3\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-urapv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"PromptTemplate-m2yFu\",\"target\":\"LLMChain-KlJb3\",\"sourceHandle\":\"{œbaseClassesœ:[œPromptTemplateœ,œStringPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-m2yFuœ}\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"id\":\"reactflow__edge-PromptTemplate-m2yFu{œbaseClassesœ:[œPromptTemplateœ,œStringPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-m2yFuœ}-LLMChain-KlJb3{œfieldNameœ:œpromptœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-KlJb3\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"PromptTemplate\",\"StringPromptTemplate\",\"BasePromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-m2yFu\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"CustomComponent-bCuc0\",\"target\":\"CustomComponent-IEIUl\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-bCuc0œ}\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œCustomComponent-IEIUlœ,œinputTypesœ:[œstrœ],œtypeœ:œstrœ}\",\"id\":\"reactflow__edge-CustomComponent-bCuc0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-bCuc0œ}-CustomComponent-IEIUl{œfieldNameœ:œpromptœ,œidœ:œCustomComponent-IEIUlœ,œinputTypesœ:[œstrœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"CustomComponent-IEIUl\",\"inputTypes\":[\"str\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-bCuc0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"selected\":false}],\"viewport\":{\"x\":92.23454077990459,\"y\":183.8125619056221,\"zoom\":0.6070974421975234}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:33:18.503954\",\"folder\":null,\"id\":\"fe142ce5-32dc-4955-b186-672ced662f13\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Darwin\",\"description\":\"Conversation Catalyst Engine.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":626,\"id\":\"OpenAI-3ZVDh\",\"type\":\"genericNode\",\"position\":{\"x\":-4.0041891741949485,\"y\":-114.02615182719649},\"data\":{\"type\":\"OpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"batch_size\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":20,\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"best_of\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"best_of\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"frequency_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"frequency_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"logit_bias\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"logit_bias\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":256,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-davinci-003\",\"password\":false,\"options\":[\"text-davinci-003\",\"text-davinci-002\",\"text-curie-001\",\"text-babbage-001\",\"text-ada-001\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"presence_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"presence_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"top_p\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"top_p\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"OpenAI\"},\"description\":\"OpenAI large language models.\",\"base_classes\":[\"OpenAI\",\"BaseLLM\",\"BaseOpenAI\",\"BaseLanguageModel\"],\"display_name\":\"OpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAI-3ZVDh\"},\"selected\":true,\"positionAbsolute\":{\"x\":-4.0041891741949485,\"y\":-114.02615182719649},\"dragging\":false},{\"width\":384,\"height\":338,\"id\":\"LLMChain-RFYXY\",\"type\":\"genericNode\",\"position\":{\"x\":586.672100458868,\"y\":10.967049167706678},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-RFYXY\"},\"positionAbsolute\":{\"x\":586.672100458868,\"y\":10.967049167706678}},{\"width\":384,\"height\":242,\"id\":\"ChatPromptTemplate-ce1sg\",\"type\":\"genericNode\",\"position\":{\"x\":395.598984452791,\"y\":612.188491773035},\"data\":{\"type\":\"ChatPromptTemplate\",\"node\":{\"template\":{\"messages\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"messages\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseMessagePromptTemplate\",\"list\":true},\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatPromptTemplate\"},\"description\":\"A prompt template for chat models.\",\"base_classes\":[\"ChatPromptTemplate\",\"BaseChatPromptTemplate\",\"BasePromptTemplate\"],\"display_name\":\"ChatPromptTemplate\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/how_to/prompts\",\"beta\":false,\"error\":null},\"id\":\"ChatPromptTemplate-ce1sg\"},\"selected\":false,\"positionAbsolute\":{\"x\":395.598984452791,\"y\":612.188491773035},\"dragging\":false}],\"edges\":[{\"source\":\"OpenAI-3ZVDh\",\"sourceHandle\":\"{œbaseClassesœ:[œOpenAIœ,œBaseLLMœ,œBaseOpenAIœ,œBaseLanguageModelœ],œdataTypeœ:œOpenAIœ,œidœ:œOpenAI-3ZVDhœ}\",\"target\":\"LLMChain-RFYXY\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-RFYXY\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"OpenAI\",\"BaseLLM\",\"BaseOpenAI\",\"BaseLanguageModel\"],\"dataType\":\"OpenAI\",\"id\":\"OpenAI-3ZVDh\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-OpenAI-3ZVDh{œbaseClassesœ:[œOpenAIœ,œBaseLLMœ,œBaseOpenAIœ,œBaseLanguageModelœ],œdataTypeœ:œOpenAIœ,œidœ:œOpenAI-3ZVDhœ}-LLMChain-RFYXY{œfieldNameœ:œllmœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\"},{\"source\":\"ChatPromptTemplate-ce1sg\",\"sourceHandle\":\"{œbaseClassesœ:[œChatPromptTemplateœ,œBaseChatPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œChatPromptTemplateœ,œidœ:œChatPromptTemplate-ce1sgœ}\",\"target\":\"LLMChain-RFYXY\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-RFYXY\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"ChatPromptTemplate\",\"BaseChatPromptTemplate\",\"BasePromptTemplate\"],\"dataType\":\"ChatPromptTemplate\",\"id\":\"ChatPromptTemplate-ce1sg\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatPromptTemplate-ce1sg{œbaseClassesœ:[œChatPromptTemplateœ,œBaseChatPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œChatPromptTemplateœ,œidœ:œChatPromptTemplate-ce1sgœ}-LLMChain-RFYXY{œfieldNameœ:œpromptœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":8.832868402772647,\"y\":189.85443326477025,\"zoom\":0.6070974421975235}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:50:19.584160\",\"folder\":null,\"id\":\"103766f0-1f50-427a-9ba7-2ab73343c524\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Perky Easley\",\"description\":\"Your Toolkit for Text Generation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-VPh47\",\"type\":\"genericNode\",\"position\":{\"x\":-328.5742193020408,\"y\":-420.1025929438987},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-3.5-turbo\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseChatModel\",\"ChatOpenAI\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-VPh47\"},\"selected\":false,\"positionAbsolute\":{\"x\":-328.5742193020408,\"y\":-420.1025929438987},\"dragging\":false},{\"width\":384,\"height\":338,\"id\":\"LLMChain-NgFyo\",\"type\":\"genericNode\",\"position\":{\"x\":225.3113389084088,\"y\":-193.3520019494289},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-NgFyo\"},\"selected\":false,\"positionAbsolute\":{\"x\":225.3113389084088,\"y\":-193.3520019494289},\"dragging\":false},{\"width\":384,\"height\":374,\"id\":\"PromptTemplate-oAFjh\",\"type\":\"genericNode\",\"position\":{\"x\":-342.62522294052764,\"y\":391.20629510686103},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"links\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Answer everything with links\\n{links}\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"links\",\"display_name\":\"links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"BasePromptTemplate\",\"StringPromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"links\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-oAFjh\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-342.62522294052764,\"y\":391.20629510686103}}],\"edges\":[{\"source\":\"ChatOpenAI-VPh47\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VPh47œ}\",\"target\":\"LLMChain-NgFyo\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-NgFyo\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseChatModel\",\"ChatOpenAI\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-VPh47\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-VPh47{œbaseClassesœ:[œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VPh47œ}-LLMChain-NgFyo{œfieldNameœ:œllmœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\"},{\"source\":\"PromptTemplate-oAFjh\",\"sourceHandle\":\"{œbaseClassesœ:[œBasePromptTemplateœ,œStringPromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-oAFjhœ}\",\"target\":\"LLMChain-NgFyo\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-NgFyo\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"BasePromptTemplate\",\"StringPromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-oAFjh\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-PromptTemplate-oAFjh{œbaseClassesœ:[œBasePromptTemplateœ,œStringPromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-oAFjhœ}-LLMChain-NgFyo{œfieldNameœ:œpromptœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":338.6546182690814,\"y\":53.026340800283265,\"zoom\":0.7169776240079143}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:53:25.148460\",\"folder\":null,\"id\":\"a794fc48-5e9b-42a3-924f-7fe610500035\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"(D) Basic Chat (1) (4)\",\"description\":\"Simplest possible chat model\",\"data\":{\"nodes\":[{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-fBcfh\",\"type\":\"genericNode\",\"position\":{\"x\":228.87326389541306,\"y\":465.8628482073749},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-3.5-turbo\",\"password\":false,\"options\":[\"gpt-3.5-turbo-0613\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k-0613\",\"gpt-3.5-turbo-16k\",\"gpt-4-0613\",\"gpt-4-32k-0613\",\"gpt-4\",\"gpt-4-32k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false,\"value\":60},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseChatModel\",\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\"},\"id\":\"ChatOpenAI-fBcfh\",\"value\":null},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":228.87326389541306,\"y\":465.8628482073749}},{\"width\":384,\"height\":310,\"id\":\"ConversationChain-bVNex\",\"type\":\"genericNode\",\"position\":{\"x\":806,\"y\":554},\"data\":{\"type\":\"ConversationChain\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":{\"_type\":\"default\"},\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLMOutputParser\",\"list\":false},\"prompt\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":{\"input_variables\":[\"history\",\"input\"],\"output_parser\":null,\"partial_variables\":{},\"template\":\"The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.\\n\\nCurrent conversation:\\n{history}\\nHuman: {input}\\nAI:\",\"template_format\":\"f-string\",\"validate_template\":true,\"_type\":\"prompt\"},\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false},\"input_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"input\",\"password\":false,\"name\":\"input_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"llm_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"llm_kwargs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"output_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"response\",\"password\":false,\"name\":\"output_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"return_final_only\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":true,\"password\":false,\"name\":\"return_final_only\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ConversationChain\"},\"description\":\"Chain to have a conversation and load context from memory.\",\"base_classes\":[\"ConversationChain\",\"Chain\",\"LLMChain\",\"function\"],\"display_name\":\"ConversationChain\",\"documentation\":\"\"},\"id\":\"ConversationChain-bVNex\",\"value\":null},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":806,\"y\":554}}],\"edges\":[{\"source\":\"ChatOpenAI-fBcfh\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseChatModelœ,œBaseLanguageModelœ,œChatOpenAIœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-fBcfhœ}\",\"target\":\"ConversationChain-bVNex\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œConversationChain-bVNexœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"className\":\"stroke-gray-900  stroke-connection\",\"id\":\"reactflow__edge-ChatOpenAI-fBcfh{œbaseClassesœ:[œBaseChatModelœ,œBaseLanguageModelœ,œChatOpenAIœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-fBcfhœ}-ConversationChain-bVNex{œfieldNameœ:œllmœ,œidœ:œConversationChain-bVNexœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"BaseChatModel\",\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-fBcfh\"},\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"ConversationChain-bVNex\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"}},\"style\":{\"stroke\":\"#555\"},\"animated\":false}],\"viewport\":{\"x\":-118.21416568593895,\"y\":-240.64815770363373,\"zoom\":0.7642485855675408}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:57:55.879806\",\"folder\":null,\"id\":\"bddebeea-b80a-4b28-8895-c4425687dcce\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Directory Loader\",\"description\":\"Generic File Loader\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"import os\\n\\nfrom langchain.schema import Document\\nfrom langflow import CustomComponent\\nimport glob\\n\\nclass DirectoryLoaderComponent(CustomComponent):\\n    display_name: str = \\\"Directory Loader\\\"\\n    description: str = \\\"Generic File Loader\\\"\\n    beta = True\\n    loaders_info = [\\n    {\\n        \\\"loader\\\": \\\"AirbyteJSONLoader\\\",\\n        \\\"name\\\": \\\"Airbyte JSON (.jsonl)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.AirbyteJSONLoader\\\",\\n        \\\"defaultFor\\\": [\\\"jsonl\\\"],\\n        \\\"allowdTypes\\\": [\\\"jsonl\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"JSONLoader\\\",\\n        \\\"name\\\": \\\"JSON (.json)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.JSONLoader\\\",\\n        \\\"defaultFor\\\": [\\\"json\\\"],\\n        \\\"allowdTypes\\\": [\\\"json\\\"],\\n        \\\"kwargs\\\": {\\\"jq_schema\\\": \\\".\\\", \\\"text_content\\\": False}\\n    },\\n    {\\n        \\\"loader\\\": \\\"BSHTMLLoader\\\",\\n        \\\"name\\\": \\\"BeautifulSoup4 HTML (.html, .htm)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.BSHTMLLoader\\\",\\n        \\\"allowdTypes\\\": [\\\"html\\\", \\\"htm\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"CSVLoader\\\",\\n        \\\"name\\\": \\\"CSV (.csv)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.CSVLoader\\\",\\n        \\\"defaultFor\\\": [\\\"csv\\\"],\\n        \\\"allowdTypes\\\": [\\\"csv\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"CoNLLULoader\\\",\\n        \\\"name\\\": \\\"CoNLL-U (.conllu)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.CoNLLULoader\\\",\\n        \\\"defaultFor\\\": [\\\"conllu\\\"],\\n        \\\"allowdTypes\\\": [\\\"conllu\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"EverNoteLoader\\\",\\n        \\\"name\\\": \\\"EverNote (.enex)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.EverNoteLoader\\\",\\n        \\\"defaultFor\\\": [\\\"enex\\\"],\\n        \\\"allowdTypes\\\": [\\\"enex\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"FacebookChatLoader\\\",\\n        \\\"name\\\": \\\"Facebook Chat (.json)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.FacebookChatLoader\\\",\\n        \\\"allowdTypes\\\": [\\\"json\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"OutlookMessageLoader\\\",\\n        \\\"name\\\": \\\"Outlook Message (.msg)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.OutlookMessageLoader\\\",\\n        \\\"defaultFor\\\": [\\\"msg\\\"],\\n        \\\"allowdTypes\\\": [\\\"msg\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"PyPDFLoader\\\",\\n        \\\"name\\\": \\\"PyPDF (.pdf)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.PyPDFLoader\\\",\\n        \\\"defaultFor\\\": [\\\"pdf\\\"],\\n        \\\"allowdTypes\\\": [\\\"pdf\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"STRLoader\\\",\\n        \\\"name\\\": \\\"Subtitle (.str)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.STRLoader\\\",\\n        \\\"defaultFor\\\": [\\\"str\\\"],\\n        \\\"allowdTypes\\\": [\\\"str\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"TextLoader\\\",\\n        \\\"name\\\": \\\"Text (.txt)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.TextLoader\\\",\\n        \\\"defaultFor\\\": [\\\"txt\\\"],\\n        \\\"allowdTypes\\\": [\\\"txt\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredEmailLoader\\\",\\n        \\\"name\\\": \\\"Unstructured Email (.eml)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredEmailLoader\\\",\\n        \\\"defaultFor\\\": [\\\"eml\\\"],\\n        \\\"allowdTypes\\\": [\\\"eml\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredHTMLLoader\\\",\\n        \\\"name\\\": \\\"Unstructured HTML (.html, .htm)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredHTMLLoader\\\",\\n        \\\"defaultFor\\\": [\\\"html\\\", \\\"htm\\\"],\\n        \\\"allowdTypes\\\": [\\\"html\\\", \\\"htm\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredMarkdownLoader\\\",\\n        \\\"name\\\": \\\"Unstructured Markdown (.md)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredMarkdownLoader\\\",\\n        \\\"defaultFor\\\": [\\\"md\\\"],\\n        \\\"allowdTypes\\\": [\\\"md\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredPowerPointLoader\\\",\\n        \\\"name\\\": \\\"Unstructured PowerPoint (.pptx)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredPowerPointLoader\\\",\\n        \\\"defaultFor\\\": [\\\"pptx\\\"],\\n        \\\"allowdTypes\\\": [\\\"pptx\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredWordLoader\\\",\\n        \\\"name\\\": \\\"Unstructured Word (.docx)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredWordLoader\\\",\\n        \\\"defaultFor\\\": [\\\"docx\\\"],\\n        \\\"allowdTypes\\\": [\\\"docx\\\"],\\n    },\\n]\\n\\n\\n    def build_config(self):\\n        loader_options = [\\\"Automatic\\\"] + [\\n            loader_info[\\\"name\\\"] for loader_info in self.loaders_info\\n        ]\\n\\n        file_types = []\\n        suffixes = []\\n\\n        for loader_info in self.loaders_info:\\n            if \\\"allowedTypes\\\" in loader_info:\\n                file_types.extend(loader_info[\\\"allowedTypes\\\"])\\n                suffixes.extend([f\\\".{ext}\\\" for ext in loader_info[\\\"allowedTypes\\\"]])\\n\\n        return {\\n            \\\"directory_path\\\": {\\n                \\\"display_name\\\": \\\"Directory Path\\\",\\n                \\\"required\\\": True,\\n            },\\n            \\\"loader\\\": {\\n                \\\"display_name\\\": \\\"Loader\\\",\\n                \\\"is_list\\\": True,\\n                \\\"required\\\": True,\\n                \\\"options\\\": loader_options,\\n                \\\"value\\\": \\\"Automatic\\\",\\n            },\\n        }\\n\\n    def build(self, directory_path: str, loader: str) -> Document:\\n        # Verifique se o diretório existe\\n        if not os.path.exists(directory_path):\\n            raise ValueError(f\\\"Directory not found: {directory_path}\\\")\\n\\n        files = glob.glob(directory_path + \\\"/*.*\\\")\\n\\n\\n        loader_info = None\\n        if loader == \\\"Automatic\\\":\\n            for file in files:\\n                file_type = file.split(\\\".\\\")[-1]\\n\\n\\n                for info in self.loaders_info:\\n                    if \\\"defaultFor\\\" in info:\\n                        if file_type in info[\\\"defaultFor\\\"]:\\n                            loader_info = info\\n                            break\\n                if loader_info:\\n                    break\\n\\n            if not loader_info:\\n                raise ValueError(\\n                    \\\"No default loader found for any file in the directory\\\"\\n                )\\n\\n        else:\\n            for info in self.loaders_info:\\n                if info[\\\"name\\\"] == loader:\\n                    loader_info = info\\n                    break\\n\\n            if not loader_info:\\n                raise ValueError(f\\\"Loader {loader} not found in the loader info list\\\")\\n\\n        loader_import = loader_info[\\\"import\\\"]\\n        module_name, class_name = loader_import.rsplit(\\\".\\\", 1)\\n\\n        try:\\n            # Importe o loader dinamicamente\\n            loader_module = __import__(module_name, fromlist=[class_name])\\n            loader_instance = getattr(loader_module, class_name)\\n        except ImportError as e:\\n            raise ValueError(\\n                f\\\"Loader {loader} could not be imported\\\\nLoader info:\\\\n{loader_info}\\\"\\n            ) from e\\n\\n        results = []\\n        for file in files:\\n            file_path = os.path.join(directory_path, file)\\n            kwargs = loader_info.get(\\\"kwargs\\\", {})\\n            result = loader_instance(file_path=file_path, **kwargs).load()\\n            results.append(result)\\n        self.status = results\\n        return results\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"directory_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"directory_path\",\"display_name\":\"Directory Path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"/Users/ogabrielluiz/Projects/langflow2/docs\"},\"loader\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"Automatic\",\"password\":false,\"options\":[\"Automatic\",\"Airbyte JSON (.jsonl)\",\"JSON (.json)\",\"BeautifulSoup4 HTML (.html, .htm)\",\"CSV (.csv)\",\"CoNLL-U (.conllu)\",\"EverNote (.enex)\",\"Facebook Chat (.json)\",\"Outlook Message (.msg)\",\"PyPDF (.pdf)\",\"Subtitle (.str)\",\"Text (.txt)\",\"Unstructured Email (.eml)\",\"Unstructured HTML (.html, .htm)\",\"Unstructured Markdown (.md)\",\"Unstructured PowerPoint (.pptx)\",\"Unstructured Word (.docx)\"],\"name\":\"loader\",\"display_name\":\"Loader\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true}},\"description\":\"Generic File Loader\",\"base_classes\":[\"Document\"],\"display_name\":\"Directory Loader\",\"custom_fields\":{\"directory_path\":null,\"loader\":null},\"output_types\":[\"Document\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-Ip6tG\"},\"id\":\"CustomComponent-Ip6tG\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-04T22:58:38.570303\",\"folder\":null,\"id\":\"5fe4debc-b6a7-45d4-a694-c02d8aa93b08\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Whisper Transcriber\",\"description\":\"Converts audio to text using OpenAI's Whisper.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import Optional, List, Dict, Union\\nfrom langflow.field_typing import (\\n    AgentExecutor,\\n    BaseChatMemory,\\n    BaseLanguageModel,\\n    BaseLLM,\\n    BaseLoader,\\n    BaseMemory,\\n    BaseOutputParser,\\n    BasePromptTemplate,\\n    BaseRetriever,\\n    Callable,\\n    Chain,\\n    ChatPromptTemplate,\\n    Data,\\n    Document,\\n    Embeddings,\\n    NestedDict,\\n    Object,\\n    PromptTemplate,\\n    TextSplitter,\\n    Tool,\\n    VectorStore,\\n)\\n\\nfrom openai import OpenAI\\nclass Component(CustomComponent):\\n    display_name: str = \\\"Whisper Transcriber\\\"\\n    description: str = \\\"Converts audio to text using OpenAI's Whisper.\\\"\\n\\n    def build_config(self):\\n        return {\\\"audio\\\":{\\\"field_type\\\":\\\"file\\\",\\\"suffixes\\\":[\\\".mp3\\\", \\\".mp4\\\", \\\".m4a\\\"]},\\\"OpenAIKey\\\":{\\\"field_type\\\":\\\"str\\\",\\\"password\\\":True}}\\n\\n    def build(self, audio:str, OpenAIKey:str) -> str:\\n        \\n        #  TODO: if output path, persist & load it instead\\n        \\n        client = OpenAI(api_key=OpenAIKey)\\n        \\n        audio_file= open(audio, \\\"rb\\\")\\n        transcript = client.audio.transcriptions.create(\\n          model=\\\"whisper-1\\\", \\n          file=audio_file,\\n          response_format=\\\"text\\\"\\n        )\\n        \\n        \\n        self.status = transcript\\n        return transcript\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"OpenAIKey\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"OpenAIKey\",\"display_name\":\"OpenAIKey\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"audio\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"suffixes\":[\".mp3\",\".mp4\",\".m4a\"],\"password\":false,\"name\":\"audio\",\"display_name\":\"audio\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"file_path\":\"/Users/rodrigonader/Library/Caches/langflow/19b3e1c9-90bf-405f-898a-e982f47adf76/a3308ce7e9b10088fcd985aabb6d17b012c6b6e81ff8806356574474c9d10229.m4a\",\"value\":\"Audio Recording 2023-11-29 at 12.12.04.m4a\"}},\"description\":\"Converts audio to text using OpenAI's Whisper.\",\"base_classes\":[\"str\"],\"display_name\":\"Whisper Transcriber\",\"custom_fields\":{\"OpenAIKey\":null,\"audio\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-GJRrs\"},\"id\":\"CustomComponent-GJRrs\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-04T22:58:39.710502\",\"folder\":null,\"id\":\"bd9e911d-46bd-429f-aa75-dd740430695e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Youtube Conversation\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":589,\"id\":\"CustomComponent-h0NSI\",\"type\":\"genericNode\",\"position\":{\"x\":714.9531293402755,\"y\":0.4994374160582993},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"import requests\\nfrom langflow import CustomComponent\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.schema import Document\\nfrom langchain.document_loaders import YoutubeLoader\\n\\n# Example usage:\\n\\nclass YourComponent(CustomComponent):\\n    display_name: str = \\\"YouTube Transcript\\\"\\n    description: str = \\\"YouTube transcripts refer to the written text versions of the spoken content in a video uploaded to the YouTube platform.\\\"\\n\\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"multiline\\\": True, \\\"required\\\": True}}\\n\\n    def build(self, url: str, llm: BaseLLM, dependencies: Document, language: str = \\\"en\\\") -> Document:\\n        dependencies\\n        response = requests.get(url)\\n        loader = YoutubeLoader.from_youtube_url(url, add_video_info=True, language=[language])\\n        result = loader.load()\\n        self.repr_value = str(result)\\n        return result\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"dependencies\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"dependencies\",\"display_name\":\"dependencies\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":false},\"language\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"en\",\"password\":false,\"name\":\"language\",\"display_name\":\"language\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLM\",\"list\":false},\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"YouTube transcripts refer to the written text versions of the spoken content in a video uploaded to the YouTube platform.\",\"base_classes\":[\"Document\"],\"display_name\":\"YouTube Transcript\",\"custom_fields\":{\"dependencies\":null,\"language\":null,\"llm\":null,\"url\":null},\"output_types\":[\"Document\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-h0NSI\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":714.9531293402755,\"y\":0.4994374160582993}},{\"width\":384,\"height\":629,\"id\":\"ChatOpenAI-q61Y2\",\"type\":\"genericNode\",\"position\":{\"x\":18,\"y\":625.5521045590924},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-3.5-turbo-16k\",\"password\":false,\"options\":[\"gpt-3.5-turbo-0613\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k-0613\",\"gpt-3.5-turbo-16k\",\"gpt-4-0613\",\"gpt-4-32k-0613\",\"gpt-4\",\"gpt-4-32k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-q61Y2\"},\"selected\":false,\"positionAbsolute\":{\"x\":18,\"y\":625.5521045590924},\"dragging\":false},{\"width\":384,\"height\":539,\"id\":\"Chroma-gVhy7\",\"type\":\"genericNode\",\"position\":{\"x\":2110.365967257855,\"y\":805.0149521868784},\"data\":{\"type\":\"Chroma\",\"node\":{\"template\":{\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"chromadb.Client\",\"list\":false},\"client_settings\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client_settings\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"chromadb.config.Setting\",\"list\":true},\"documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":true},\"embedding\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Embeddings\",\"list\":false},\"chroma_server_cors_allow_origins\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_cors_allow_origins\",\"display_name\":\"Chroma Server CORS Allow Origins\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"chroma_server_grpc_port\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_grpc_port\",\"display_name\":\"Chroma Server GRPC Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_host\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_host\",\"display_name\":\"Chroma Server Host\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_http_port\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_http_port\",\"display_name\":\"Chroma Server HTTP Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_ssl_enabled\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"chroma_server_ssl_enabled\",\"display_name\":\"Chroma Server SSL Enabled\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"collection_metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"collection_metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"collection_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"langchain\",\"password\":false,\"name\":\"collection_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"ids\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"ids\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"metadatas\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":true},\"persist\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"persist\",\"display_name\":\"Persist\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"persist_directory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"persist_directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"search_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"{}\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"NestedDict\",\"list\":false},\"_type\":\"Chroma\"},\"description\":\"Create a Chroma vectorstore from a raw documents.\",\"base_classes\":[\"VectorStore\",\"Chroma\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"Chroma\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/chroma\",\"beta\":false,\"error\":null},\"id\":\"Chroma-gVhy7\"},\"selected\":false,\"positionAbsolute\":{\"x\":2110.365967257855,\"y\":805.0149521868784},\"dragging\":false},{\"width\":384,\"height\":501,\"id\":\"RecursiveCharacterTextSplitter-1eaOX\",\"type\":\"genericNode\",\"position\":{\"x\":1409.2872773444874,\"y\":19.45456141103284},\"data\":{\"type\":\"RecursiveCharacterTextSplitter\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.schema import Document\\nfrom langflow.utils.util import build_loader_repr_from_documents\\n\\n\\nclass RecursiveCharacterTextSplitterComponent(CustomComponent):\\n    display_name: str = \\\"Recursive Character Text Splitter\\\"\\n    description: str = \\\"Split text into chunks of a specified length.\\\"\\n    documentation: str = \\\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"documents\\\": {\\n                \\\"display_name\\\": \\\"Documents\\\",\\n                \\\"info\\\": \\\"The documents to split.\\\",\\n            },\\n            \\\"separators\\\": {\\n                \\\"display_name\\\": \\\"Separators\\\",\\n                \\\"info\\\": 'The characters to split on.\\\\nIf left empty defaults to [\\\"\\\\\\\\n\\\\\\\\n\\\", \\\"\\\\\\\\n\\\", \\\" \\\", \\\"\\\"].',\\n                \\\"is_list\\\": True,\\n            },\\n            \\\"chunk_size\\\": {\\n                \\\"display_name\\\": \\\"Chunk Size\\\",\\n                \\\"info\\\": \\\"The maximum length of each chunk.\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 1000,\\n            },\\n            \\\"chunk_overlap\\\": {\\n                \\\"display_name\\\": \\\"Chunk Overlap\\\",\\n                \\\"info\\\": \\\"The amount of overlap between chunks.\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 200,\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        documents: list[Document],\\n        separators: Optional[list[str]] = None,\\n        chunk_size: Optional[int] = 1000,\\n        chunk_overlap: Optional[int] = 200,\\n    ) -> list[Document]:\\n        \\\"\\\"\\\"\\n        Split text into chunks of a specified length.\\n\\n        Args:\\n            separators (list[str]): The characters to split on.\\n            chunk_size (int): The maximum length of each chunk.\\n            chunk_overlap (int): The amount of overlap between chunks.\\n            length_function (function): The function to use to calculate the length of the text.\\n\\n        Returns:\\n            list[str]: The chunks of text.\\n        \\\"\\\"\\\"\\n        from langchain.text_splitter import RecursiveCharacterTextSplitter\\n\\n        if separators == \\\"\\\":\\n            separators = None\\n        elif separators:\\n            # check if the separators list has escaped characters\\n            # if there are escaped characters, unescape them\\n            separators = [x.encode().decode(\\\"unicode-escape\\\") for x in separators]\\n\\n        # Make sure chunk_size and chunk_overlap are ints\\n        if isinstance(chunk_size, str):\\n            chunk_size = int(chunk_size)\\n        if isinstance(chunk_overlap, str):\\n            chunk_overlap = int(chunk_overlap)\\n        splitter = RecursiveCharacterTextSplitter(\\n            separators=separators,\\n            chunk_size=chunk_size,\\n            chunk_overlap=chunk_overlap,\\n        )\\n\\n        docs = splitter.split_documents(documents)\\n        self.repr_value = build_loader_repr_from_documents(docs)\\n        return docs\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"chunk_overlap\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"50\",\"password\":false,\"name\":\"chunk_overlap\",\"display_name\":\"Chunk Overlap\",\"advanced\":false,\"dynamic\":false,\"info\":\"The amount of overlap between chunks.\",\"type\":\"int\",\"list\":false},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"400\",\"password\":false,\"name\":\"chunk_size\",\"display_name\":\"Chunk Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"The maximum length of each chunk.\",\"type\":\"int\",\"list\":false},\"documents\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"The documents to split.\",\"type\":\"Document\",\"list\":true},\"separators\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"separators\",\"display_name\":\"Separators\",\"advanced\":false,\"dynamic\":false,\"info\":\"The characters to split on.\\nIf left empty defaults to [\\\"\\\\n\\\\n\\\", \\\"\\\\n\\\", \\\" \\\", \\\"\\\"].\",\"type\":\"str\",\"list\":true,\"value\":[\" \"]}},\"description\":\"Split text into chunks of a specified length.\",\"base_classes\":[\"Document\"],\"display_name\":\"Recursive Character Text Splitter\",\"custom_fields\":{\"chunk_overlap\":null,\"chunk_size\":null,\"documents\":null,\"separators\":null},\"output_types\":[\"RecursiveCharacterTextSplitter\"],\"documentation\":\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\",\"beta\":true,\"error\":null},\"id\":\"RecursiveCharacterTextSplitter-1eaOX\"},\"selected\":false,\"positionAbsolute\":{\"x\":1409.2872773444874,\"y\":19.45456141103284},\"dragging\":false},{\"width\":384,\"height\":367,\"id\":\"OpenAIEmbeddings-cduOO\",\"type\":\"genericNode\",\"position\":{\"x\":1405.1176670984544,\"y\":1029.459061269321},\"data\":{\"type\":\"OpenAIEmbeddings\",\"node\":{\"template\":{\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Literal'all'\",\"list\":true},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Literal'all'\",\"list\":true},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1000,\"password\":false,\"name\":\"chunk_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"deployment\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"embedding_ctx_length\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":8191,\"password\":false,\"name\":\"embedding_ctx_length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"{'Authorization': 'Bearer <token>'}\",\"password\":false,\"name\":\"headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_type\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_version\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"show_progress_bar\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"show_progress_bar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"skip_empty\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"skip_empty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"_type\":\"OpenAIEmbeddings\"},\"description\":\"OpenAI embedding models.\",\"base_classes\":[\"Embeddings\",\"OpenAIEmbeddings\"],\"display_name\":\"OpenAIEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAIEmbeddings-cduOO\"},\"selected\":false,\"positionAbsolute\":{\"x\":1405.1176670984544,\"y\":1029.459061269321}},{\"width\":384,\"height\":339,\"id\":\"RetrievalQA-4PmTB\",\"type\":\"genericNode\",\"position\":{\"x\":2711.7786966415715,\"y\":709.4450828605463},\"data\":{\"type\":\"RetrievalQA\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"combine_documents_chain\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"combine_documents_chain\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseCombineDocumentsChain\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"retriever\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseRetriever\",\"list\":false},\"input_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"query\",\"password\":false,\"name\":\"input_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"output_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"result\",\"password\":false,\"name\":\"output_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"return_source_documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":false,\"name\":\"return_source_documents\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"RetrievalQA\"},\"description\":\"Chain for question-answering against an index.\",\"base_classes\":[\"RetrievalQA\",\"Chain\",\"BaseRetrievalQA\",\"function\"],\"display_name\":\"RetrievalQA\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/chains/popular/vector_db_qa\",\"beta\":false,\"error\":null},\"id\":\"RetrievalQA-4PmTB\"},\"selected\":false,\"positionAbsolute\":{\"x\":2711.7786966415715,\"y\":709.4450828605463}},{\"width\":384,\"height\":333,\"id\":\"CombineDocsChain-yk0JF\",\"type\":\"genericNode\",\"position\":{\"x\":2125.6202053356537,\"y\":199.07708924409633},\"data\":{\"type\":\"CombineDocsChain\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"chain_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"stuff\",\"password\":false,\"options\":[\"stuff\",\"map_reduce\",\"map_rerank\",\"refine\"],\"name\":\"chain_type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"_type\":\"load_qa_chain\"},\"description\":\"Load question answering chain.\",\"base_classes\":[\"BaseCombineDocumentsChain\",\"function\"],\"display_name\":\"CombineDocsChain\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"id\":\"CombineDocsChain-yk0JF\"},\"selected\":false,\"positionAbsolute\":{\"x\":2125.6202053356537,\"y\":199.07708924409633},\"dragging\":false},{\"width\":384,\"height\":417,\"id\":\"CustomComponent-y6Wg0\",\"type\":\"genericNode\",\"position\":{\"x\":39.400034102832365,\"y\":-499.03551482195707},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nimport subprocess\\n\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain.prompts import PromptTemplate\\nfrom langchain.schema import Document\\n\\nfrom typing import List\\n\\n\\nclass YourComponent(CustomComponent):\\n    display_name: str = \\\"PIP Install\\\"\\n    description: str = \\\"Create any custom component you want!\\\"\\n\\n    def build(self, libs: List[str]) -> Document:\\n        def install_package(package_name):\\n            subprocess.check_call([\\\"pip\\\", \\\"install\\\", package_name])\\n        for lib in libs:\\n            install_package(lib)\\n        return \\\"\\\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"libs\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"libs\",\"display_name\":\"libs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"requests\",\"pytube\"]}},\"description\":\"Create any custom component you want!\",\"base_classes\":[\"Document\"],\"display_name\":\"PIP Install\",\"custom_fields\":{\"libs\":null},\"output_types\":[],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-y6Wg0\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":39.400034102832365,\"y\":-499.03551482195707}}],\"edges\":[{\"source\":\"ChatOpenAI-q61Y2\",\"sourceHandle\":\"{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}\",\"target\":\"CustomComponent-h0NSI\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œBaseLLMœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-q61Y2{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}-CustomComponent-h0NSI{œfieldNameœ:œllmœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œBaseLLMœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-q61Y2\"},\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"CustomComponent-h0NSI\",\"inputTypes\":null,\"type\":\"BaseLLM\"}}},{\"source\":\"CustomComponent-y6Wg0\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-y6Wg0œ}\",\"target\":\"CustomComponent-h0NSI\",\"targetHandle\":\"{œfieldNameœ:œdependenciesœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-y6Wg0{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-y6Wg0œ}-CustomComponent-h0NSI{œfieldNameœ:œdependenciesœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-y6Wg0\"},\"targetHandle\":{\"fieldName\":\"dependencies\",\"id\":\"CustomComponent-h0NSI\",\"inputTypes\":null,\"type\":\"Document\"}}},{\"source\":\"CustomComponent-h0NSI\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-h0NSIœ}\",\"target\":\"RecursiveCharacterTextSplitter-1eaOX\",\"targetHandle\":\"{œfieldNameœ:œdocumentsœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-h0NSI{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-h0NSIœ}-RecursiveCharacterTextSplitter-1eaOX{œfieldNameœ:œdocumentsœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-h0NSI\"},\"targetHandle\":{\"fieldName\":\"documents\",\"id\":\"RecursiveCharacterTextSplitter-1eaOX\",\"inputTypes\":null,\"type\":\"Document\"}},\"selected\":false},{\"source\":\"OpenAIEmbeddings-cduOO\",\"sourceHandle\":\"{œbaseClassesœ:[œEmbeddingsœ,œOpenAIEmbeddingsœ],œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-cduOOœ}\",\"target\":\"Chroma-gVhy7\",\"targetHandle\":\"{œfieldNameœ:œembeddingœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œEmbeddingsœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-OpenAIEmbeddings-cduOO{œbaseClassesœ:[œEmbeddingsœ,œOpenAIEmbeddingsœ],œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-cduOOœ}-Chroma-gVhy7{œfieldNameœ:œembeddingœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œEmbeddingsœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Embeddings\",\"OpenAIEmbeddings\"],\"dataType\":\"OpenAIEmbeddings\",\"id\":\"OpenAIEmbeddings-cduOO\"},\"targetHandle\":{\"fieldName\":\"embedding\",\"id\":\"Chroma-gVhy7\",\"inputTypes\":null,\"type\":\"Embeddings\"}}},{\"source\":\"RecursiveCharacterTextSplitter-1eaOX\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œRecursiveCharacterTextSplitterœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ}\",\"target\":\"Chroma-gVhy7\",\"targetHandle\":\"{œfieldNameœ:œdocumentsœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-RecursiveCharacterTextSplitter-1eaOX{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œRecursiveCharacterTextSplitterœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ}-Chroma-gVhy7{œfieldNameœ:œdocumentsœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"RecursiveCharacterTextSplitter\",\"id\":\"RecursiveCharacterTextSplitter-1eaOX\"},\"targetHandle\":{\"fieldName\":\"documents\",\"id\":\"Chroma-gVhy7\",\"inputTypes\":null,\"type\":\"Document\"}}},{\"source\":\"ChatOpenAI-q61Y2\",\"sourceHandle\":\"{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}\",\"target\":\"CombineDocsChain-yk0JF\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œCombineDocsChain-yk0JFœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-q61Y2{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}-CombineDocsChain-yk0JF{œfieldNameœ:œllmœ,œidœ:œCombineDocsChain-yk0JFœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-q61Y2\"},\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"CombineDocsChain-yk0JF\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"}}},{\"source\":\"CombineDocsChain-yk0JF\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseCombineDocumentsChainœ,œfunctionœ],œdataTypeœ:œCombineDocsChainœ,œidœ:œCombineDocsChain-yk0JFœ}\",\"target\":\"RetrievalQA-4PmTB\",\"targetHandle\":\"{œfieldNameœ:œcombine_documents_chainœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseCombineDocumentsChainœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CombineDocsChain-yk0JF{œbaseClassesœ:[œBaseCombineDocumentsChainœ,œfunctionœ],œdataTypeœ:œCombineDocsChainœ,œidœ:œCombineDocsChain-yk0JFœ}-RetrievalQA-4PmTB{œfieldNameœ:œcombine_documents_chainœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseCombineDocumentsChainœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"BaseCombineDocumentsChain\",\"function\"],\"dataType\":\"CombineDocsChain\",\"id\":\"CombineDocsChain-yk0JF\"},\"targetHandle\":{\"fieldName\":\"combine_documents_chain\",\"id\":\"RetrievalQA-4PmTB\",\"inputTypes\":null,\"type\":\"BaseCombineDocumentsChain\"}}},{\"source\":\"Chroma-gVhy7\",\"sourceHandle\":\"{œbaseClassesœ:[œVectorStoreœ,œChromaœ,œBaseRetrieverœ,œVectorStoreRetrieverœ],œdataTypeœ:œChromaœ,œidœ:œChroma-gVhy7œ}\",\"target\":\"RetrievalQA-4PmTB\",\"targetHandle\":\"{œfieldNameœ:œretrieverœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseRetrieverœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-Chroma-gVhy7{œbaseClassesœ:[œVectorStoreœ,œChromaœ,œBaseRetrieverœ,œVectorStoreRetrieverœ],œdataTypeœ:œChromaœ,œidœ:œChroma-gVhy7œ}-RetrievalQA-4PmTB{œfieldNameœ:œretrieverœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseRetrieverœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"VectorStore\",\"Chroma\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"dataType\":\"Chroma\",\"id\":\"Chroma-gVhy7\"},\"targetHandle\":{\"fieldName\":\"retriever\",\"id\":\"RetrievalQA-4PmTB\",\"inputTypes\":null,\"type\":\"BaseRetriever\"}}}],\"viewport\":{\"x\":189.54413265004274,\"y\":259.89949657174975,\"zoom\":0.291027508374689}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:59:08.830269\",\"folder\":null,\"id\":\"bc7eb94b-6fc6-49cb-9b19-35347ba51afa\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Web Scraper - Content & Links\",\"description\":\"Fetch and parse text and links from a given URL.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":338,\"id\":\"LLMChain-H7PBy\",\"type\":\"genericNode\",\"position\":{\"x\":1682.494010974207,\"y\":275.5701585623092},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-H7PBy\"},\"selected\":false,\"positionAbsolute\":{\"x\":1682.494010974207,\"y\":275.5701585623092},\"dragging\":false},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-VSAdc\",\"type\":\"genericNode\",\"position\":{\"x\":1002.4263147022411,\"y\":-198.2305006886859},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"0.1\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-VSAdc\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":1002.4263147022411,\"y\":-198.2305006886859}},{\"width\":384,\"height\":374,\"data\":{\"id\":\"GroupNode-WXPMk\",\"type\":\"PromptTemplate\",\"node\":{\"output_types\":[],\"display_name\":\"Web Scraper\",\"documentation\":\"\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"description\":\"Fetch and parse text and links from a given URL.\",\"template\":{\"code_CustomComponent-f6nOg\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"code\"},\"display_name\":\"Code\"},\"ignore_links_CustomComponent-f6nOg\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"ignore_links\"}},\"code_CustomComponent-FGzJJ\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-FGzJJ\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-0XtUN\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-0XtUN\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-ODIcp\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-ODIcp\",\"field\":\"code\"},\"display_name\":\"Code\"},\"output_parser_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"output_parser\"},\"display_name\":\"Output Parser\"},\"input_types_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_types\"},\"display_name\":\"Input Types\"},\"input_variables_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"],\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_variables\"},\"display_name\":\"Input Variables\"},\"partial_variables_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"partial_variables\"},\"display_name\":\"Partial Variables\"},\"template_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\",\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template\"},\"display_name\":\"Template\"},\"template_format_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template_format\"},\"display_name\":\"Template Format\"},\"validate_template_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"validate_template\"},\"display_name\":\"Validate Template\"},\"query_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"give me links\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"query\"}},\"code_CustomComponent-OACE0\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"code\"},\"display_name\":\"Code\"},\"url_CustomComponent-OACE0\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"url\"},\"value\":\"https://paperswithcode.com/\"},\"code_CustomComponent-whsQ5\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n    display_name: str = \\\"List to Bullets\\\"\\n    description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n    def build(self, items: list) -> str:\\n        markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n        return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-whsQ5\",\"field\":\"code\"},\"display_name\":\"Code\"}},\"flow\":{\"data\":{\"nodes\":[{\"width\":384,\"height\":405,\"id\":\"CustomComponent-f6nOg\",\"type\":\"genericNode\",\"position\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-f6nOg\"},\"selected\":true,\"positionAbsolute\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"dragging\":false},{\"width\":384,\"height\":375,\"id\":\"CustomComponent-FGzJJ\",\"type\":\"genericNode\",\"position\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-FGzJJ\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-0XtUN\",\"type\":\"genericNode\",\"position\":{\"x\":214.00059169497604,\"y\":177.27071061129823},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse HTML\",\"custom_fields\":{\"html_content\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-0XtUN\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":214.00059169497604,\"y\":177.27071061129823}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-ODIcp\",\"type\":\"genericNode\",\"position\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract Hyperlinks\",\"custom_fields\":{\"soup\":null},\"output_types\":[\"list\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-ODIcp\"},\"selected\":true,\"positionAbsolute\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"dragging\":false},{\"width\":384,\"height\":657,\"id\":\"PromptTemplate-H9Udy\",\"type\":\"genericNode\",\"position\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_markdown\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_markdown\",\"display_name\":\"html_markdown\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_links\",\"display_name\":\"html_links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-H9Udy\"},\"selected\":true,\"positionAbsolute\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"dragging\":false},{\"width\":384,\"height\":347,\"id\":\"CustomComponent-OACE0\",\"type\":\"genericNode\",\"position\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":null,\"base_classes\":[\"str\"],\"display_name\":\"URL Input\",\"custom_fields\":{\"url\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-OACE0\"},\"selected\":true,\"positionAbsolute\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"dragging\":false},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-whsQ5\",\"type\":\"genericNode\",\"position\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n    display_name: str = \\\"List to Bullets\\\"\\n    description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n    def build(self, items: list) -> str:\\n        markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n        return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"items\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"items\",\"display_name\":\"items\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"list\",\"list\":true}},\"description\":\"Converts a Python list into Markdown bullet points.\",\"base_classes\":[\"str\"],\"display_name\":\"List to Bullets\",\"custom_fields\":{\"items\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-whsQ5\"},\"selected\":true,\"positionAbsolute\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"dragging\":false}],\"edges\":[{\"source\":\"CustomComponent-FGzJJ\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}\",\"target\":\"CustomComponent-f6nOg\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-f6nOgœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-f6nOg\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-FGzJJ\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-FGzJJ{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}-CustomComponent-f6nOg{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-f6nOgœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-FGzJJ\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}\",\"target\":\"CustomComponent-0XtUN\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-0XtUNœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-0XtUN\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-FGzJJ\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-FGzJJ{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}-CustomComponent-0XtUN{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-0XtUNœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-0XtUN\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-0XtUNœ}\",\"target\":\"CustomComponent-ODIcp\",\"targetHandle\":\"{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-ODIcpœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"soup\",\"id\":\"CustomComponent-ODIcp\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-0XtUN\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-0XtUN{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-0XtUNœ}-CustomComponent-ODIcp{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-ODIcpœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-OACE0\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}\",\"target\":\"CustomComponent-FGzJJ\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œCustomComponent-FGzJJœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"CustomComponent-FGzJJ\",\"inputTypes\":[\"Data\",\"str\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-OACE0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-OACE0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}-CustomComponent-FGzJJ{œfieldNameœ:œurlœ,œidœ:œCustomComponent-FGzJJœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-OACE0\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-OACE0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-OACE0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}-PromptTemplate-H9Udy{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-ODIcp\",\"sourceHandle\":\"{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ODIcpœ}\",\"target\":\"CustomComponent-whsQ5\",\"targetHandle\":\"{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-whsQ5œ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"items\",\"id\":\"CustomComponent-whsQ5\",\"inputTypes\":null,\"type\":\"list\"},\"sourceHandle\":{\"baseClasses\":[\"list\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-ODIcp\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-ODIcp{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ODIcpœ}-CustomComponent-whsQ5{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-whsQ5œ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"selected\":true},{\"source\":\"CustomComponent-whsQ5\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-whsQ5œ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_links\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-whsQ5\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-whsQ5{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-whsQ5œ}-PromptTemplate-H9Udy{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-f6nOg\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-f6nOgœ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_markdown\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-f6nOg\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-f6nOg{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-f6nOgœ}-PromptTemplate-H9Udy{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true}],\"viewport\":{\"x\":343.0346131188585,\"y\":341.89843948642147,\"zoom\":0.24148408223121196}},\"is_component\":false,\"name\":\"Fluffy Ptolemy\",\"description\":\"\",\"id\":\"W5oNW\"}}},\"id\":\"GroupNode-WXPMk\",\"position\":{\"x\":873.0737834322758,\"y\":598.8401015776466},\"type\":\"genericNode\",\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":873.0737834322758,\"y\":598.8401015776466}}],\"edges\":[{\"source\":\"ChatOpenAI-VSAdc\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VSAdcœ}\",\"target\":\"LLMChain-H7PBy\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-H7PBy\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-VSAdc\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-VSAdc{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VSAdcœ}-LLMChain-H7PBy{œfieldNameœ:œllmœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\"},{\"source\":\"GroupNode-WXPMk\",\"sourceHandle\":\"{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œGroupNode-WXPMkœ}\",\"target\":\"LLMChain-H7PBy\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-H7PBy\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"GroupNode-WXPMk\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-GroupNode-WXPMk{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œGroupNode-WXPMkœ}-LLMChain-H7PBy{œfieldNameœ:œpromptœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":-348.6161822813733,\"y\":121.40545291211492,\"zoom\":0.6801854262029781}},\"is_component\":false,\"updated_at\":\"2023-12-04T23:22:27.784647\",\"folder\":null,\"id\":\"efc3bf27-3cf1-4561-9a83-3df347572440\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sad Joliot\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":338,\"id\":\"LLMChain-RQsU1\",\"type\":\"genericNode\",\"position\":{\"x\":514.4440482813261,\"y\":528.164086188516},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-RQsU1\"},\"selected\":false,\"positionAbsolute\":{\"x\":514.4440482813261,\"y\":528.164086188516}},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-NTTcv\",\"type\":\"genericNode\",\"position\":{\"x\":-221.33853765781578,\"y\":-35.48749923706055},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"0.1\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-NTTcv\"},\"selected\":false,\"positionAbsolute\":{\"x\":-221.33853765781578,\"y\":-35.48749923706055}},{\"width\":384,\"height\":374,\"id\":\"PromptTemplate-VELMV\",\"type\":\"genericNode\",\"position\":{\"x\":-222,\"y\":682.560723386973},\"data\":{\"id\":\"PromptTemplate-VELMV\",\"type\":\"PromptTemplate\",\"node\":{\"output_types\":[],\"display_name\":\"Web Scraper\",\"documentation\":\"\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"description\":\"Fetch and parse text and links from a given URL.\",\"template\":{\"code_CustomComponent-f6nOg\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"code\"},\"display_name\":\"Code\"},\"ignore_links_CustomComponent-f6nOg\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"ignore_links\"}},\"code_CustomComponent-FGzJJ\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-FGzJJ\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-0XtUN\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-0XtUN\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-ODIcp\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-ODIcp\",\"field\":\"code\"},\"display_name\":\"Code\"},\"output_parser_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"output_parser\"},\"display_name\":\"Output Parser\"},\"input_types_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_types\"},\"display_name\":\"Input Types\"},\"input_variables_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"],\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_variables\"},\"display_name\":\"Input Variables\"},\"partial_variables_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"partial_variables\"},\"display_name\":\"Partial Variables\"},\"template_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\",\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template\"},\"display_name\":\"Template\"},\"template_format_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template_format\"},\"display_name\":\"Template Format\"},\"validate_template_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"validate_template\"},\"display_name\":\"Validate Template\"},\"query_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"query\"}},\"code_CustomComponent-OACE0\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"code\"},\"display_name\":\"Code\"},\"url_CustomComponent-OACE0\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"url\"},\"value\":\"https://paperswithcode.com/\"},\"code_CustomComponent-whsQ5\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n    display_name: str = \\\"List to Bullets\\\"\\n    description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n    def build(self, items: list) -> str:\\n        markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n        return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-whsQ5\",\"field\":\"code\"},\"display_name\":\"Code\"}},\"flow\":{\"data\":{\"nodes\":[{\"width\":384,\"height\":405,\"id\":\"CustomComponent-f6nOg\",\"type\":\"genericNode\",\"position\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-f6nOg\"},\"selected\":true,\"positionAbsolute\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"dragging\":false},{\"width\":384,\"height\":375,\"id\":\"CustomComponent-FGzJJ\",\"type\":\"genericNode\",\"position\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-FGzJJ\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-0XtUN\",\"type\":\"genericNode\",\"position\":{\"x\":214.00059169497604,\"y\":177.27071061129823},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse HTML\",\"custom_fields\":{\"html_content\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-0XtUN\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":214.00059169497604,\"y\":177.27071061129823}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-ODIcp\",\"type\":\"genericNode\",\"position\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract Hyperlinks\",\"custom_fields\":{\"soup\":null},\"output_types\":[\"list\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-ODIcp\"},\"selected\":true,\"positionAbsolute\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"dragging\":false},{\"width\":384,\"height\":657,\"id\":\"PromptTemplate-H9Udy\",\"type\":\"genericNode\",\"position\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_markdown\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_markdown\",\"display_name\":\"html_markdown\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_links\",\"display_name\":\"html_links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-H9Udy\"},\"selected\":true,\"positionAbsolute\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"dragging\":false},{\"width\":384,\"height\":347,\"id\":\"CustomComponent-OACE0\",\"type\":\"genericNode\",\"position\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":null,\"base_classes\":[\"str\"],\"display_name\":\"URL Input\",\"custom_fields\":{\"url\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-OACE0\"},\"selected\":true,\"positionAbsolute\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"dragging\":false},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-whsQ5\",\"type\":\"genericNode\",\"position\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n    display_name: str = \\\"List to Bullets\\\"\\n    description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n    def build(self, items: list) -> str:\\n        markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n        return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"items\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"items\",\"display_name\":\"items\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"list\",\"list\":true}},\"description\":\"Converts a Python list into Markdown bullet points.\",\"base_classes\":[\"str\"],\"display_name\":\"List to Bullets\",\"custom_fields\":{\"items\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-whsQ5\"},\"selected\":true,\"positionAbsolute\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"dragging\":false}],\"edges\":[{\"source\":\"CustomComponent-FGzJJ\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}\",\"target\":\"CustomComponent-f6nOg\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-f6nOgœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-f6nOg\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-FGzJJ\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-FGzJJ{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}-CustomComponent-f6nOg{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-f6nOgœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-FGzJJ\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}\",\"target\":\"CustomComponent-0XtUN\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-0XtUNœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-0XtUN\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-FGzJJ\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-FGzJJ{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}-CustomComponent-0XtUN{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-0XtUNœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-0XtUN\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-0XtUNœ}\",\"target\":\"CustomComponent-ODIcp\",\"targetHandle\":\"{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-ODIcpœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"soup\",\"id\":\"CustomComponent-ODIcp\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-0XtUN\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-0XtUN{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-0XtUNœ}-CustomComponent-ODIcp{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-ODIcpœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-OACE0\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}\",\"target\":\"CustomComponent-FGzJJ\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œCustomComponent-FGzJJœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"CustomComponent-FGzJJ\",\"inputTypes\":[\"Data\",\"str\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-OACE0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-OACE0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}-CustomComponent-FGzJJ{œfieldNameœ:œurlœ,œidœ:œCustomComponent-FGzJJœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-OACE0\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-OACE0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-OACE0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}-PromptTemplate-H9Udy{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-ODIcp\",\"sourceHandle\":\"{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ODIcpœ}\",\"target\":\"CustomComponent-whsQ5\",\"targetHandle\":\"{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-whsQ5œ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"items\",\"id\":\"CustomComponent-whsQ5\",\"inputTypes\":null,\"type\":\"list\"},\"sourceHandle\":{\"baseClasses\":[\"list\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-ODIcp\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-ODIcp{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ODIcpœ}-CustomComponent-whsQ5{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-whsQ5œ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"selected\":true},{\"source\":\"CustomComponent-whsQ5\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-whsQ5œ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_links\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-whsQ5\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-whsQ5{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-whsQ5œ}-PromptTemplate-H9Udy{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-f6nOg\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-f6nOgœ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_markdown\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-f6nOg\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-f6nOg{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-f6nOgœ}-PromptTemplate-H9Udy{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true}],\"viewport\":{\"x\":343.0346131188585,\"y\":341.89843948642147,\"zoom\":0.24148408223121196}},\"is_component\":false,\"name\":\"Fluffy Ptolemy\",\"description\":\"\",\"id\":\"W5oNW\"}}},\"selected\":false,\"positionAbsolute\":{\"x\":-222,\"y\":682.560723386973}}],\"edges\":[{\"source\":\"ChatOpenAI-NTTcv\",\"target\":\"LLMChain-RQsU1\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-NTTcvœ}\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-RQsU1œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"id\":\"reactflow__edge-ChatOpenAI-NTTcv{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-NTTcvœ}-LLMChain-RQsU1{œfieldNameœ:œllmœ,œidœ:œLLMChain-RQsU1œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-RQsU1\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-NTTcv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 \",\"animated\":false,\"selected\":false},{\"source\":\"PromptTemplate-VELMV\",\"target\":\"LLMChain-RQsU1\",\"sourceHandle\":\"{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-VELMVœ}\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-RQsU1œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"id\":\"reactflow__edge-PromptTemplate-VELMV{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-VELMVœ}-LLMChain-RQsU1{œfieldNameœ:œpromptœ,œidœ:œLLMChain-RQsU1œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-RQsU1\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-VELMV\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 \",\"animated\":false,\"selected\":false}],\"viewport\":{\"x\":298.29888454238517,\"y\":96.95765543775741,\"zoom\":0.5140569133280332}},\"is_component\":false,\"updated_at\":\"2023-12-04T23:23:08.584967\",\"folder\":null,\"id\":\"5df79f1d-f592-4d59-8c0f-9f3c2f6465b1\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Silly Pasteur\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":338,\"id\":\"LLMChain-cHel8\",\"type\":\"genericNode\",\"position\":{\"x\":547.3876889720291,\"y\":299.2057833881307},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-cHel8\"},\"selected\":false,\"positionAbsolute\":{\"x\":547.3876889720291,\"y\":299.2057833881307},\"dragging\":false},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-LA6y0\",\"type\":\"genericNode\",\"position\":{\"x\":-272.94405331278074,\"y\":-603.148171441675},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"0.1\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-LA6y0\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":-272.94405331278074,\"y\":-603.148171441675}},{\"width\":384,\"height\":404,\"id\":\"CustomComponent-ZNoRM\",\"type\":\"genericNode\",\"position\":{\"x\":-103.65741264289085,\"y\":134.62332404764658},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-ZNoRM\"},\"selected\":false,\"positionAbsolute\":{\"x\":-103.65741264289085,\"y\":134.62332404764658},\"dragging\":false},{\"width\":384,\"height\":374,\"id\":\"CustomComponent-zNSTv\",\"type\":\"genericNode\",\"position\":{\"x\":-1233.3963469933499,\"y\":280.77850809220325},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-zNSTv\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":-1233.3963469933499,\"y\":280.77850809220325}},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-Ihm2o\",\"type\":\"genericNode\",\"position\":{\"x\":-554.9404152016002,\"y\":683.6763775860567},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse HTML\",\"custom_fields\":{\"html_content\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-Ihm2o\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":-554.9404152016002,\"y\":683.6763775860567}},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-6ST9l\",\"type\":\"genericNode\",\"position\":{\"x\":76.10921262566495,\"y\":872.9491114949525},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract Hyperlinks\",\"custom_fields\":{\"soup\":null},\"output_types\":[\"list\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-6ST9l\"},\"selected\":false,\"positionAbsolute\":{\"x\":76.10921262566495,\"y\":872.9491114949525},\"dragging\":false},{\"width\":384,\"height\":654,\"id\":\"PromptTemplate-l35W1\",\"type\":\"genericNode\",\"position\":{\"x\":1461.4487148097069,\"y\":1090.896175351284},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"display_name\":\"output_parser\"},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"display_name\":\"input_types\"},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"],\"display_name\":\"input_variables\"},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"display_name\":\"partial_variables\"},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\",\"display_name\":\"template\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false,\"display_name\":\"template_format\"},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"display_name\":\"validate_template\"},\"_type\":\"PromptTemplate\",\"url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_markdown\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_markdown\",\"display_name\":\"html_markdown\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_links\",\"display_name\":\"html_links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-l35W1\"},\"selected\":false,\"positionAbsolute\":{\"x\":1461.4487148097069,\"y\":1090.896175351284},\"dragging\":false},{\"width\":384,\"height\":346,\"id\":\"CustomComponent-iTLf4\",\"type\":\"genericNode\",\"position\":{\"x\":-1924.8908014123388,\"y\":704.5414990162741},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"https://paperswithcode.com/\"}},\"description\":null,\"base_classes\":[\"str\"],\"display_name\":\"URL Input\",\"custom_fields\":{\"url\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-iTLf4\"},\"selected\":false,\"positionAbsolute\":{\"x\":-1924.8908014123388,\"y\":704.5414990162741},\"dragging\":false},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-jWLUz\",\"type\":\"genericNode\",\"position\":{\"x\":627.6164007410564,\"y\":1201.2365384322047},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n    display_name: str = \\\"List to Bullets\\\"\\n    description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n    def build(self, items: list) -> str:\\n        markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n        return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"items\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"items\",\"display_name\":\"items\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"list\",\"list\":true}},\"description\":\"Converts a Python list into Markdown bullet points.\",\"base_classes\":[\"str\"],\"display_name\":\"List to Bullets\",\"custom_fields\":{\"items\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-jWLUz\"},\"selected\":false,\"positionAbsolute\":{\"x\":627.6164007410564,\"y\":1201.2365384322047},\"dragging\":false}],\"edges\":[{\"source\":\"ChatOpenAI-LA6y0\",\"target\":\"LLMChain-cHel8\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-LA6y0œ}\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-cHel8œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"id\":\"reactflow__edge-ChatOpenAI-LA6y0{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-LA6y0œ}-LLMChain-cHel8{œfieldNameœ:œllmœ,œidœ:œLLMChain-cHel8œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-cHel8\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-LA6y0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"CustomComponent-zNSTv\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-zNSTvœ}\",\"target\":\"CustomComponent-ZNoRM\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-ZNoRMœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-ZNoRM\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-zNSTv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-zNSTv{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-zNSTvœ}-CustomComponent-ZNoRM{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-ZNoRMœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":false},{\"source\":\"CustomComponent-zNSTv\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-zNSTvœ}\",\"target\":\"CustomComponent-Ihm2o\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-Ihm2oœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-Ihm2o\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-zNSTv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-zNSTv{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-zNSTvœ}-CustomComponent-Ihm2o{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-Ihm2oœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":false},{\"source\":\"CustomComponent-Ihm2o\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-Ihm2oœ}\",\"target\":\"CustomComponent-6ST9l\",\"targetHandle\":\"{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-6ST9lœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"soup\",\"id\":\"CustomComponent-6ST9l\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-Ihm2o\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-Ihm2o{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-Ihm2oœ}-CustomComponent-6ST9l{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-6ST9lœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":false},{\"source\":\"CustomComponent-iTLf4\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-iTLf4œ}\",\"target\":\"CustomComponent-zNSTv\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œCustomComponent-zNSTvœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"CustomComponent-zNSTv\",\"inputTypes\":[\"Data\",\"str\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-iTLf4\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-iTLf4{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-iTLf4œ}-CustomComponent-zNSTv{œfieldNameœ:œurlœ,œidœ:œCustomComponent-zNSTvœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"selected\":false},{\"source\":\"CustomComponent-iTLf4\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-iTLf4œ}\",\"target\":\"PromptTemplate-l35W1\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"PromptTemplate-l35W1\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-iTLf4\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-iTLf4{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-iTLf4œ}-PromptTemplate-l35W1{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":false},{\"source\":\"CustomComponent-6ST9l\",\"sourceHandle\":\"{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-6ST9lœ}\",\"target\":\"CustomComponent-jWLUz\",\"targetHandle\":\"{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-jWLUzœ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"items\",\"id\":\"CustomComponent-jWLUz\",\"inputTypes\":null,\"type\":\"list\"},\"sourceHandle\":{\"baseClasses\":[\"list\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-6ST9l\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-6ST9l{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-6ST9lœ}-CustomComponent-jWLUz{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-jWLUzœ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"selected\":false},{\"source\":\"CustomComponent-jWLUz\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-jWLUzœ}\",\"target\":\"PromptTemplate-l35W1\",\"targetHandle\":\"{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_links\",\"id\":\"PromptTemplate-l35W1\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-jWLUz\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-jWLUz{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-jWLUzœ}-PromptTemplate-l35W1{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":false},{\"source\":\"CustomComponent-ZNoRM\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ZNoRMœ}\",\"target\":\"PromptTemplate-l35W1\",\"targetHandle\":\"{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_markdown\",\"id\":\"PromptTemplate-l35W1\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-ZNoRM\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-ZNoRM{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ZNoRMœ}-PromptTemplate-l35W1{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":false},{\"source\":\"PromptTemplate-l35W1\",\"sourceHandle\":\"{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-l35W1œ}\",\"target\":\"LLMChain-cHel8\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-cHel8œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-cHel8\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-l35W1\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-PromptTemplate-mJqEg{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-mJqEgœ}-LLMChain-cHel8{œfieldNameœ:œpromptœ,œidœ:œLLMChain-cHel8œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":206.6159172940935,\"y\":79.94375811155385,\"zoom\":0.5140569133280333}},\"is_component\":false,\"updated_at\":\"2023-12-06T00:23:04.515144\",\"folder\":null,\"id\":\"ecfb377a-7e88-405d-8d66-7560735ce446\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Lovelace\",\"description\":\"Smart Chains, Smarter Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-04T23:43:25.925753\",\"folder\":null,\"id\":\"30e71767-6128-40e4-9a6d-b9197b679971\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Custom Component\",\"description\":\"Create any custom component you want!\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\n\\nclass Component(CustomComponent):\\n    display_name: str = \\\"Custom Component\\\"\\n    description: str = \\\"Create any custom component you want!\\\"\\n    documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n    def build_config(self):\\n        return {\\\"param\\\": {\\\"display_name\\\": \\\"Parameter\\\"}}\\n\\n    def build(self, param: Data) -> Data:\\n        return param\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"param\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"param\",\"display_name\":\"Parameter\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Create any custom component you want!\",\"base_classes\":[\"Data\"],\"display_name\":\"Custom Component\",\"custom_fields\":{\"param\":null},\"output_types\":[\"CustomComponent\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-IxJqc\"},\"id\":\"CustomComponent-IxJqc\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-05T22:08:27.080204\",\"folder\":null,\"id\":\"f3c56abb-96d8-4a09-80d3-f60181661b3c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazing Wilson\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-05T23:49:58.272677\",\"folder\":null,\"id\":\"324499a6-17a6-49de-96b1-b88955ed2c3d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nauseous Kowalevski\",\"description\":\"Create, Curate, Communicate with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:27.084387\",\"folder\":null,\"id\":\"e3168485-d31b-472a-907f-faf833bf7824\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Silly Fermi\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.134463\",\"folder\":null,\"id\":\"d0ecea5d-bcf9-4b8e-88f0-3c243d309336\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Friendly Ardinghelli\",\"description\":\"Smart Chains, Smarter Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.138184\",\"folder\":null,\"id\":\"a406912d-b0e2-4954-bef3-ee80c29eca3c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Easley\",\"description\":\"Bridging Prompts for Brilliance.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.162908\",\"folder\":null,\"id\":\"57b32155-4c6e-4823-ad03-8dd09d8abc62\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Varahamihira\",\"description\":\"Create, Chain, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.135644\",\"folder\":null,\"id\":\"18daa0ff-2e5d-457a-95d7-710affec5c4d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jubilant Joliot\",\"description\":\"Language Architect at Work!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.139496\",\"folder\":null,\"id\":\"9255e938-280e-4ce7-91cd-8622126a7d02\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Adoring Carroll\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.162240\",\"folder\":null,\"id\":\"a7a680b9-30b1-4438-ac24-da597de443aa\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Berserk Herschel\",\"description\":\"Your Hub for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:46:02.593504\",\"folder\":null,\"id\":\"37a439b0-7b1d-45e3-b4fa-5c73669bae3b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Distracted Joliot\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:04.845238\",\"folder\":null,\"id\":\"4d23fd0a-8ad5-46b9-bb99-eed4138e7426\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Happy Babbage\",\"description\":\"Flow into the Future of Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:41.899665\",\"folder\":null,\"id\":\"1c8ad5b9-5524-41fe-a762-52c75126b832\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Adoring Brown\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.702031\",\"folder\":null,\"id\":\"9d4c8e79-4904-4a51-a4bb-146c3d8db10e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Focused Mahavira\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.786331\",\"folder\":null,\"id\":\"4ba370d1-1f8e-4a23-99aa-99e2cd9b7cbf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mad Gates\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.838989\",\"folder\":null,\"id\":\"992c3cd3-1d79-4986-8c04-88a34130fa30\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Serene Mcclintock\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.932723\",\"folder\":null,\"id\":\"a65bfd13-44df-4090-aca0-5057e21e9997\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Berserk Feynman\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.931359\",\"folder\":null,\"id\":\"7a05dac5-c005-411d-9994-19d61e71ce78\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sprightly Perlman\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:43.054687\",\"folder\":null,\"id\":\"6db24541-7211-48e6-a792-1a4a99a0ef90\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jolly Colden\",\"description\":\"Flow into the Future of Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:43.078384\",\"folder\":null,\"id\":\"13ac42e8-9124-4bf4-9ea2-28671ef2d9a4\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Kaku\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:50:33.156776\",\"folder\":null,\"id\":\"79262d75-5c62-4b14-b067-f4297f5c912f\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jovial Khayyam\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:51:13.295375\",\"folder\":null,\"id\":\"3b397e74-d8be-4728-9d6c-05f7c78106a7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Mccarthy\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:51:27.632685\",\"folder\":null,\"id\":\"13f4e1fd-45eb-4271-92fd-0d70a31c61d2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cocky Lalande\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:51:54.628983\",\"folder\":null,\"id\":\"9cfd60d8-9311-47b0-b71b-f488f1940bc7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Romantic Mirzakhani\",\"description\":\"Innovation in Interaction with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:52:52.622698\",\"folder\":null,\"id\":\"0d849403-0f75-455d-b4e4-0d622ee3305a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grinning Brown\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:53:06.056636\",\"folder\":null,\"id\":\"8643ba14-52d6-4d36-9981-5fd37de5dd76\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Kickass Watt\",\"description\":\"Transform Your Business with Smart Dialogues.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:53:23.338727\",\"folder\":null,\"id\":\"818d3066-bf08-4bf9-adcd-739f8abbfa5d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Bose\",\"description\":\"Unravel the Art of Articulation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:53:41.218861\",\"folder\":null,\"id\":\"28eff43e-0ecf-47bf-9851-f1492589978e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Optimistic Jennings\",\"description\":\"Create Powerful Connections, Boost Business Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:55:03.681106\",\"folder\":null,\"id\":\"68f59069-bc2a-464f-a983-4b61e32e01af\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pedantic Mirzakhani\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:55:31.761949\",\"folder\":null,\"id\":\"5d981c0e-81b3-44cc-a5be-8f55b92bfed5\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Peppy Murdock\",\"description\":\"Create Powerful Connections, Boost Business Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:56:45.548598\",\"folder\":null,\"id\":\"e812ad47-47e8-422b-b94c-84fd0263c9c8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Berserk Fermat\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:58:50.234270\",\"folder\":null,\"id\":\"82aaf449-e737-4699-9360-929ab6108dc7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tiny Albattani\",\"description\":\"Your Toolkit for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:59:53.946035\",\"folder\":null,\"id\":\"097cb080-274b-40ca-8dde-7900a949568a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cranky Kirch\",\"description\":\"Sculpting Language with Precision.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:00:51.745350\",\"folder\":null,\"id\":\"837d7b5f-8495-46a9-b00e-ad1b7ebb52f4\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Kowalevski\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:02:53.336102\",\"folder\":null,\"id\":\"3ff079c2-d9f9-4da6-a22a-423fa35670ff\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Radiant Stallman\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:03:28.268357\",\"folder\":null,\"id\":\"c8b204dd-3d57-4bc8-aa13-1d559672e75b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grinning Swirles\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:03:51.194455\",\"folder\":null,\"id\":\"a097f083-5880-4cf7-986b-51898bc68e11\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Dreamy Williams\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:04:36.678251\",\"folder\":null,\"id\":\"d9585f63-ce76-42ce-87bc-8e69601ea5c6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Zany Hawking\",\"description\":\"Flow into the Future of Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:05:13.672479\",\"folder\":null,\"id\":\"612a01d5-8c8d-4cc1-8c54-35626b7f4a6d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazing Kilby\",\"description\":\"Your Toolkit for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:10:37.047955\",\"folder\":null,\"id\":\"2d05a598-3cdf-452a-bd5d-b0e569e562e3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Insane Cori\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:18:12.426578\",\"folder\":null,\"id\":\"d1769a4a-c1e9-4d74-9273-1e76cfcf21f3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Compassionate Tesla\",\"description\":\"Graph Your Way to Great Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:18:52.806238\",\"folder\":null,\"id\":\"28c5d9dd-0466-4c80-9e58-b1e061cd358d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jubilant Goldstine\",\"description\":\"Harness the Power of Conversational AI.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:21:44.488510\",\"folder\":null,\"id\":\"b3c57e4f-28a1-4580-bf08-a9484bdd66e8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Elegant Curie\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:23:47.610237\",\"folder\":null,\"id\":\"28fb024e-6ba1-4f5b-83b3-4742b3b8117c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Chandrasekhar\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:24:29.824530\",\"folder\":null,\"id\":\"d2b87cf7-9167-4030-8e9f-b8d9aa0cadee\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Nobel\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:26:51.210699\",\"folder\":null,\"id\":\"c2c9fbac-7d97-40c2-8055-dff608df9414\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Elated Edison\",\"description\":\"Advanced NLP for Groundbreaking Business Solutions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:27:35.822482\",\"folder\":null,\"id\":\"a55561cd-4b25-473f-bde5-884cbabb0d24\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Dazzling Lichterman\",\"description\":\"Building Linguistic Labyrinths.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:29:09.259381\",\"folder\":null,\"id\":\"9c6fe6d4-8311-4fc6-8b02-2a816d7c059d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Distracted Bhaskara\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:31:36.053452\",\"folder\":null,\"id\":\"ef6fc1ab-aff8-45a1-8cd5-bc8e38565e4d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Watt\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:32:26.765250\",\"folder\":null,\"id\":\"499b5351-9c09-4934-9f9d-a24be2fd8b24\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jolly Wien\",\"description\":\"Bridging Prompts for Brilliance.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:33:23.648859\",\"folder\":null,\"id\":\"a57eda91-7f6e-410d-9990-385fe0c724f3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nostalgic Spence\",\"description\":\"Mapping Meaningful Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:34:22.576407\",\"folder\":null,\"id\":\"685f685e-8a1b-4b7e-9e21-6cdd72163c91\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Comical Fermat\",\"description\":\"Create, Connect, Converse.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:35:44.920540\",\"folder\":null,\"id\":\"3e061766-b834-4fa4-ba9c-b060925d9703\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grave Volta\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:36:33.001572\",\"folder\":null,\"id\":\"135f2fd9-e005-40bc-a9bf-c25107388415\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Davinci\",\"description\":\"Create Powerful Connections, Boost Business Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:37:16.208823\",\"folder\":null,\"id\":\"167cdb24-7e1c-475b-893a-cca2f125426c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hilarious Sinoussi\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:38:07.215401\",\"folder\":null,\"id\":\"48113cab-2c04-493f-8c2e-c8d067826aa2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grave Sagan\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:39:19.479656\",\"folder\":null,\"id\":\"28d292dc-e094-4ffe-a657-178892933267\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cranky Hoover\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:40:02.895859\",\"folder\":null,\"id\":\"0c9849b7-b2d6-4d0e-8334-abfb3ae183dd\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Mendeleev\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:40:27.867247\",\"folder\":null,\"id\":\"d78c52e9-1941-4555-9bb9-abd01f176705\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Dubinsky\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:41:23.177402\",\"folder\":null,\"id\":\"5277a04c-b5da-4597-aaa2-a6b66ea11d02\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cocky Poitras\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:42:08.731865\",\"folder\":null,\"id\":\"b0d0c8de-4eea-484a-a068-b13e63f7e71c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pedantic Ptolemy\",\"description\":\"Crafting Conversations, One Node at a Time.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:42:25.658996\",\"folder\":null,\"id\":\"b6f155e2-03eb-4232-9bab-145463382fe9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Loving Cray\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:43:57.530112\",\"folder\":null,\"id\":\"b75c10ca-9ecb-432b-88ab-e1847e836e22\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Pasteur\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:44:58.979393\",\"folder\":null,\"id\":\"3710eccb-e7a7-41d5-9339-d9c301515d17\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Gates\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:45:42.744174\",\"folder\":null,\"id\":\"fdd2271e-92f6-4349-8c01-2ec0e9e73f13\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Determined Khorana\",\"description\":\"Beyond Text Generation - Unleashing Business Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:46:10.084684\",\"folder\":null,\"id\":\"88b49a97-0888-4fea-8d9b-6ac2cc6d158e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Booth\",\"description\":\"Design Dialogues with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:46:41.577750\",\"folder\":null,\"id\":\"629afe54-8796-45be-a570-e3ac79c60792\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jubilant Mendeleev\",\"description\":\"Chain the Words, Master Language!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:47:22.631243\",\"folder\":null,\"id\":\"7bf481b0-73fe-4f5b-a3d4-1263d9d8e827\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Clever Varahamihira\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:49:51.026960\",\"folder\":null,\"id\":\"df9e86b6-56c9-4848-9010-102615314766\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sleepy Stallman\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:50:14.932236\",\"folder\":null,\"id\":\"3e66994c-9b7a-4b85-a917-65d1959d7352\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Modest Wozniak\",\"description\":\"Advanced NLP for Groundbreaking Business Solutions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:51:13.811894\",\"folder\":null,\"id\":\"d10f924a-5780-4255-9f41-3e102ae03e84\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hopeful Mirzakhani\",\"description\":\"Graph Your Way to Great Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:52:23.906908\",\"folder\":null,\"id\":\"f3378fa8-ccaf-4a3b-90d6-b8ab0c4e481f\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Awesome Joule\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:52:43.863440\",\"folder\":null,\"id\":\"deaa50e7-a8b1-46b1-856c-334ee781e1c2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Peppy Shockley\",\"description\":\"Generate, Innovate, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:53:43.299699\",\"folder\":null,\"id\":\"c72eac2c-d924-40c6-a102-da524216d090\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Zany Dewey\",\"description\":\"Flow into the Future of Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:54:18.848827\",\"folder\":null,\"id\":\"d9425324-bb60-462e-b431-90a536f2bc76\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gloomy Joliot\",\"description\":\"Language Engineering Excellence.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:12.348608\",\"folder\":null,\"id\":\"621ba134-3fac-487c-98cd-96941439f1be\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Backstabbing Franklin\",\"description\":\"Craft Language Connections Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.491824\",\"folder\":null,\"id\":\"86ca9773-c7b7-4a1a-859a-6cbe0ddff206\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sharp Swartz\",\"description\":\"Beyond Text Generation - Unleashing Business Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.524414\",\"folder\":null,\"id\":\"da1c02b7-d608-4498-9946-7d02f55fa103\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Serene Volta\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.641432\",\"folder\":null,\"id\":\"8d5dd998-6b51-4f65-8331-086a7f3b11d7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Focused Lichterman\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.746120\",\"folder\":null,\"id\":\"942027d3-e2ea-48c6-8279-0a41b54e8862\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Einstein\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.746904\",\"folder\":null,\"id\":\"9e9b6298-1073-4297-8ecc-3c620b432e70\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cocky Planck\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.747420\",\"folder\":null,\"id\":\"7cd60c83-b797-4e60-af6d-cbc540657943\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Suspicious Zobell\",\"description\":\"Innovation in Interaction, Revolution in Revenue.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.749951\",\"folder\":null,\"id\":\"dab08306-9521-4e15-aa11-e6a6a4e210f8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Small Knuth\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:16.772119\",\"folder\":null,\"id\":\"c9149590-636a-44f5-aaae-45a4e78fe4df\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Wright\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:52.954568\",\"folder\":null,\"id\":\"6b23b2ad-c07c-46f6-b9ad-268783d1712e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Vibrant Lalande\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.656156\",\"folder\":null,\"id\":\"ece3bcf6-a147-4559-862e-cacff9db5f48\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Happy Gauss\",\"description\":\"The Pinnacle of Prompt Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.717991\",\"folder\":null,\"id\":\"252b6021-ecad-4eaf-9e2f-106c4c89c496\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gigantic Rosalind\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.736261\",\"folder\":null,\"id\":\"b8cb6d8d-c0fb-4e8d-a46e-2c608dc8a714\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Adoring Hubble\",\"description\":\"Powerful Prompts, Perfectly Positioned.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.769546\",\"folder\":null,\"id\":\"553a67db-7225-474c-978e-8a40cde2bfb2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Mclean\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.981063\",\"folder\":null,\"id\":\"e0865007-4d80-4edf-87ab-9e8d2892d719\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Trusting Murdock\",\"description\":\"Uncover Business Opportunities with NLP.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.982286\",\"folder\":null,\"id\":\"1021cd20-66e0-4b81-9c79-bfe729774d20\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Perky Riemann\",\"description\":\"Powerful Prompts, Perfectly Positioned.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.983216\",\"folder\":null,\"id\":\"089074d3-8a1e-4d85-a59d-b4717090e4d3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Small Tesla\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:00:35.704142\",\"folder\":null,\"id\":\"beb49d88-255e-4db4-931b-4ab4358f1097\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Boyd\",\"description\":\"Smart Chains, Smarter Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:01:13.569507\",\"folder\":null,\"id\":\"75b5ab8d-e0c0-43cf-912b-8578550e198a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Small Babbage\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:01:27.944868\",\"folder\":null,\"id\":\"503edd55-8f70-43e5-87fb-2324eaf62336\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Bose\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:02:40.122079\",\"folder\":null,\"id\":\"ae4f2992-1a23-4a43-bec6-68b823935762\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Coulomb\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.263237\",\"folder\":null,\"id\":\"a2a464db-b02a-4440-ad9e-7b552ee6c027\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Drunk Newton\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.883766\",\"folder\":null,\"id\":\"1a5d9af7-5a96-4035-a09c-e15741785828\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jovial Pasteur\",\"description\":\"Your Hub for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.933083\",\"folder\":null,\"id\":\"04b94873-0828-41dc-a850-fd4132c9b9f1\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Playful Spence\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.967685\",\"folder\":null,\"id\":\"47003dc2-7884-48a3-aa66-e4185079f4d9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cheerful Noyce\",\"description\":\"Your Passport to Linguistic Landscapes.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.983198\",\"folder\":null,\"id\":\"13769cb4-2e15-4d54-a28a-c97dc15db58c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Awesome Edison\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:16.018879\",\"folder\":null,\"id\":\"453dacde-6b10-406b-a5b3-f90f44be6899\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Upbeat Snyder\",\"description\":\"Powerful Prompts, Perfectly Positioned.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:16.205689\",\"folder\":null,\"id\":\"9544fac9-3002-47aa-86b9-102844fe9649\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tender Khorana\",\"description\":\"Chain the Words, Master Language!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:16.243434\",\"folder\":null,\"id\":\"90498ef6-34f9-45c8-8cd0-fe6a36a26f41\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Elated Albattani\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:05:07.775497\",\"folder\":null,\"id\":\"9577c416-8ce8-48f6-ad6d-ab2e003bb415\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Charming Goodall\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:07:52.139318\",\"folder\":null,\"id\":\"f10dc08e-b9c7-44b3-8837-b95aee2f6dbb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hilarious Ramanujan\",\"description\":\"Harness the Power of Conversational AI.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:08:22.448480\",\"folder\":null,\"id\":\"c864bd8c-67cd-465f-bf7d-7a35c7df37f3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tender Mclean\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:09:56.507826\",\"folder\":null,\"id\":\"f0c13b19-ae23-40e6-88d6-d135897ee100\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grave Hawking\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:10:27.169757\",\"folder\":null,\"id\":\"0afb91b4-8f41-4270-900a-f5de647d45ad\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gloomy Lovelace\",\"description\":\"Your Passport to Linguistic Landscapes.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:11:02.292233\",\"folder\":null,\"id\":\"0f1e5dcf-8769-4157-b495-5f215b490107\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Fervent Kilby\",\"description\":\"Empowering Enterprises with Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:11:46.960966\",\"folder\":null,\"id\":\"310d03d9-dd50-4946-9a27-38ee06906212\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Admiring Almeida\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:12:24.475101\",\"folder\":null,\"id\":\"3cbc8fc2-a86f-4177-9a1c-a833b2a24283\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Elated Roentgen\",\"description\":\"Empowering Enterprises with Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:06.753571\",\"folder\":null,\"id\":\"c508e922-29e9-4234-84ae-505c5bdf41c1\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Perky Poitras\",\"description\":\"Chain the Words, Master Language!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.754605\",\"folder\":null,\"id\":\"1431df05-1b6f-41af-a063-a18d26a946ef\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tender Khayyam\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.791627\",\"folder\":null,\"id\":\"344e03fb-fd49-4e87-be67-7dce04ba655b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Zealous Mayer\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.803889\",\"folder\":null,\"id\":\"8b3ff1cb-3a6c-46ee-b09a-0e9f9f13a8b9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tiny Ramanujan\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.822583\",\"folder\":null,\"id\":\"18961e76-f4b1-4968-926a-fed22cb04f69\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cheerful Franklin\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.854440\",\"folder\":null,\"id\":\"0e0ee854-ab46-4333-a848-2e1239a24334\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Serene Swirles\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.988932\",\"folder\":null,\"id\":\"cc7b8238-3d15-4f78-bd0c-8311691c9ff8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sleepy Swartz\",\"description\":\"Uncover Business Opportunities with NLP.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:08.028688\",\"folder\":null,\"id\":\"123369f9-c83c-4ed3-93b6-78ca29c271cf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cranky Kowalevski\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.097607\",\"folder\":null,\"id\":\"ed4b1490-e9e5-46bf-b337-166b48eaadd6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sprightly Golick\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.617772\",\"folder\":null,\"id\":\"9d1be311-c618-4e3e-aeb1-4161ab37850e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Boring Newton\",\"description\":\"Generate, Innovate, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.646124\",\"folder\":null,\"id\":\"63a75f99-1745-40d3-9e27-3d19a143be45\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sprightly Noyce\",\"description\":\"Beyond Text Generation - Unleashing Business Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.685781\",\"folder\":null,\"id\":\"b418ca87-eb17-42e8-b789-3fcb0cab3ddb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Fluffy Fermat\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.705984\",\"folder\":null,\"id\":\"93802b07-eee9-4a2b-8691-7d9a231bd67e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Stoic Payne\",\"description\":\"Beyond Text Generation - Unleashing Business Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.723990\",\"folder\":null,\"id\":\"d62df661-0ae5-4b41-a9fb-71cb2e46ad52\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Darwin\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.818343\",\"folder\":null,\"id\":\"d1f62248-415c-474a-bfa6-3509a528a33b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Focused Thompson\",\"description\":\"Transform Your Business with Smart Dialogues.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.925999\",\"folder\":null,\"id\":\"d2267176-f020-4c52-90a4-7f944d7c1749\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Admiring Dewey\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:07.400402\",\"folder\":null,\"id\":\"8cf1ac8d-d34d-4e8a-a9da-be44672e1dfb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Prickly Zuse\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.384611\",\"folder\":null,\"id\":\"bae3cb5b-0f1b-4e95-bf58-7eab38da3d73\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hungry Zuse\",\"description\":\"The Pinnacle of Prompt Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.436591\",\"folder\":null,\"id\":\"4dfafe3e-e9ef-405d-be72-550084411d69\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Khayyam\",\"description\":\"Design Dialogues with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.435958\",\"folder\":null,\"id\":\"e0f81215-dc55-4b5a-b8cf-6e2fcbf297a7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Big Mendel\",\"description\":\"Innovation in Interaction with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.470080\",\"folder\":null,\"id\":\"5022a71c-da47-4975-a4d0-6d2d9e760d3d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Inquisitive Poitras\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.484430\",\"folder\":null,\"id\":\"4f1ff9e3-3500-404c-80af-2010bc46cdcb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Joyous Jones\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.661306\",\"folder\":null,\"id\":\"77af3e47-c2cc-42f6-99e1-78589439a447\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Exuberant Khayyam\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.662877\",\"folder\":null,\"id\":\"6f3e2e56-b329-47e3-86cc-024c29203016\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Dazzling Visvesvaraya\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.092917\",\"folder\":null,\"id\":\"449ac0ee-ee29-4a9f-9aff-fd6a86624457\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nostalgic Tesla\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.630382\",\"folder\":null,\"id\":\"a2136ed3-dc75-4a8f-ab34-6887ff955b23\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Noether\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.652058\",\"folder\":null,\"id\":\"fd1080f8-db07-481a-b2ba-60f67fcb20a6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Dazzling Pasteur\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.688661\",\"folder\":null,\"id\":\"d534d5e1-92aa-4fb2-a795-7071c4feba47\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Comical Sinoussi\",\"description\":\"Bridging Prompts for Brilliance.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.741385\",\"folder\":null,\"id\":\"85323170-c066-4d8f-acb0-1b142241389e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Small Ramanujan\",\"description\":\"Uncover Business Opportunities with NLP.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.790086\",\"folder\":null,\"id\":\"b0d18432-21ab-404b-acb6-57ef97353fad\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sick Joliot\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":442,\"id\":\"OpenAIEmbeddings-rVj1B\",\"type\":\"genericNode\",\"position\":{\"x\":-100.23754663035719,\"y\":-718.7575880388187},\"data\":{\"type\":\"OpenAIEmbeddings\",\"node\":{\"template\":{\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1000,\"password\":false,\"name\":\"chunk_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"deployment\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"embedding_ctx_length\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":8191,\"password\":false,\"name\":\"embedding_ctx_length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"password\":false,\"name\":\"headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_type\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_version\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"show_progress_bar\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"show_progress_bar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"skip_empty\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"skip_empty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_enabled\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":true,\"name\":\"tiktoken_enabled\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"OpenAIEmbeddings\"},\"description\":\"OpenAI embedding models.\",\"base_classes\":[\"OpenAIEmbeddings\",\"Embeddings\"],\"display_name\":\"OpenAIEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAIEmbeddings-rVj1B\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-100.23754663035719,\"y\":-718.7575880388187}}],\"edges\":[],\"viewport\":{\"x\":267.7156633365312,\"y\":716.9644817529361,\"zoom\":0.7169776240079139}},\"is_component\":false,\"updated_at\":\"2023-12-08T18:52:26.999440\",\"folder\":null,\"id\":\"be39958a-ef42-4fa8-8e54-b611e56b5c97\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Graceful Lumiere\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:11.012069\",\"folder\":null,\"id\":\"f7dcecfd-533c-4f40-9dcb-f213962ed1a2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"aaaaa\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":442,\"id\":\"OpenAIEmbeddings-P6Z0D\",\"type\":\"genericNode\",\"position\":{\"x\":-100.23754663035719,\"y\":-718.7575880388187},\"data\":{\"type\":\"OpenAIEmbeddings\",\"node\":{\"template\":{\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1000,\"password\":false,\"name\":\"chunk_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"deployment\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"embedding_ctx_length\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":8191,\"password\":false,\"name\":\"embedding_ctx_length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"password\":false,\"name\":\"headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_type\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_version\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"show_progress_bar\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"show_progress_bar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"skip_empty\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"skip_empty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_enabled\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":true,\"name\":\"tiktoken_enabled\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"_type\":\"OpenAIEmbeddings\"},\"description\":\"OpenAI embedding models.\",\"base_classes\":[\"OpenAIEmbeddings\",\"Embeddings\"],\"display_name\":\"OpenAIEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAIEmbeddings-P6Z0D\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-100.23754663035719,\"y\":-718.7575880388187}}],\"edges\":[],\"viewport\":{\"x\":266.7156633365312,\"y\":657.9644817529361,\"zoom\":0.7169776240079139}},\"is_component\":false,\"updated_at\":\"2023-12-08T19:05:14.503144\",\"folder\":null,\"id\":\"c2411a20-57c6-44cc-a0d0-2c857453633d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Aryabhata\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":459,\"id\":\"CustomComponent-Qhbd7\",\"type\":\"genericNode\",\"position\":{\"x\":-224.36198532285903,\"y\":-39.03047722134913},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nfrom openai import OpenAI\\n\\n\\nclass Component(CustomComponent):\\n    display_name: str = \\\"OpenAI STT english translator\\\"\\n    description: str = \\\"Transcript and translate any audio to english\\\"\\n    documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n    def build_config(self):\\n        return {\\\"audio_path\\\":{\\\"display_name\\\":\\\"Audio path\\\",\\\"input_types\\\":[\\\"str\\\"]},\\\"openAI_key\\\":{\\\"display_name\\\":\\\"OpenAI key\\\",\\\"password\\\":True}}\\n\\n    def build(self,audio_path:str,openAI_key:str) -> str:\\n        client = OpenAI(api_key=openAI_key)\\n        audio_file= open(audio_path, \\\"rb\\\")\\n        transcript = client.audio.translations.create(\\n          model=\\\"whisper-1\\\", \\n          file=audio_file\\n        )\\n        self.status = transcript.text\\n        return transcript.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"audio_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"audio_path\",\"display_name\":\"Audio path\",\"advanced\":false,\"input_types\":[\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"aaaaa\"},\"openAI_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openAI_key\",\"display_name\":\"OpenAI key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Transcript and translate any audio to english\",\"base_classes\":[\"str\"],\"display_name\":\"OpenAI STT english tra\",\"custom_fields\":{\"audio_path\":null,\"openAI_key\":null},\"output_types\":[\"str\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-Qhbd7\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-224.36198532285903,\"y\":-39.03047722134913}}],\"edges\":[],\"viewport\":{\"x\":433.8372868055629,\"y\":250.9611989970935,\"zoom\":0.8467453123625275}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:16:56.971879\",\"folder\":null,\"id\":\"122eee5d-9734-4e51-9da5-b39bead64a8d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Wing\",\"description\":\"Your Toolkit for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:23.227017\",\"folder\":null,\"id\":\"171d0063-6446-4c6a-8f5b-786a38951d44\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mad Boyd\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.063781\",\"folder\":null,\"id\":\"3a7af50c-6555-4004-a86e-1ea37e477900\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Boring Dewey\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.065404\",\"folder\":null,\"id\":\"dc4b4235-a550-41e2-9ddb-bcb352a1bc03\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nauseous Carroll\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.087501\",\"folder\":null,\"id\":\"9550e2bf-db7a-41f5-84e5-177a181bbeda\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Silly Engelbart\",\"description\":\"Generate, Innovate, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.112543\",\"folder\":null,\"id\":\"6a3a24bb-01cb-4d8e-8d17-0dc92d257322\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sassy Khayyam\",\"description\":\"Innovation in Interaction, Revolution in Revenue.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.147631\",\"folder\":null,\"id\":\"8d372f5e-ca12-4ea8-a1a1-8846afa72692\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Bell\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.212921\",\"folder\":null,\"id\":\"800f8785-0f41-4db3-aef8-9e3de5250526\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sleepy Bassi\",\"description\":\"Unleashing Business Potential through Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.395729\",\"folder\":null,\"id\":\"4589607a-065b-4a8f-ba52-5045d7b04086\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Volhard\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.263971\",\"folder\":null,\"id\":\"b2440ed8-44fa-4684-adf7-b5e84bff6577\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Ecstatic Poincare\",\"description\":\"Your Passport to Linguistic Landscapes.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.377270\",\"folder\":null,\"id\":\"b996f514-e0b8-432f-969b-7276630a8f4b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grave Zuse\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.406385\",\"folder\":null,\"id\":\"6e2e9c12-0afc-499e-acdd-adf4b5f7d4fc\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Big Hopper\",\"description\":\"Conversation Catalyst Engine.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.413014\",\"folder\":null,\"id\":\"e020f1a5-aa12-45e7-ba50-6eb64a735e60\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Jang\",\"description\":\"Conversation Catalyst Engine.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.433045\",\"folder\":null,\"id\":\"ee58f892-b7b2-408e-b4b9-9d862fc315aa\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Ohm\",\"description\":\"Promptly Ingenious!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.403404\",\"folder\":null,\"id\":\"023a1fc3-8807-4167-b6b2-f4e5daf036f1\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Distracted Degrasse\",\"description\":\"Bridging Prompts for Brilliance.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.411655\",\"folder\":null,\"id\":\"085f106f-c1e9-4a0f-ba31-d2fafe685d9c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Exuberant Volta\",\"description\":\"Catalyzing Business Growth through Conversational AI.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.408697\",\"folder\":null,\"id\":\"14481bb5-1353-452f-9359-d38c9419d79c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Bose\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:21.774940\",\"folder\":null,\"id\":\"e9316292-4ee1-441b-8327-0b09a7831fe9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Thirsty Easley\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.416556\",\"folder\":null,\"id\":\"668806ba-3efa-44de-aeb7-4ac082ba9172\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Joyous Mestorf\",\"description\":\"Generate, Innovate, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.484048\",\"folder\":null,\"id\":\"3fc0a371-aada-4450-9d17-33d3cc05c870\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Playful Franklin\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.509095\",\"folder\":null,\"id\":\"af967c98-5f08-4ee2-b1ce-6c16b4f9ebe2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Bhaskara\",\"description\":\"Empowering Enterprises with Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.508465\",\"folder\":null,\"id\":\"758c4164-b521-45d0-a15f-d49480e312eb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Funky Edison\",\"description\":\"Unravel the Art of Articulation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.602296\",\"folder\":null,\"id\":\"f9d3d30f-8859-433f-bafc-ccf1a7196e35\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Silly Ride\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.604061\",\"folder\":null,\"id\":\"0142bca5-eb61-42ed-9917-70c4c0f54eb0\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Noyce\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.603113\",\"folder\":null,\"id\":\"0b63d036-4669-4ceb-8ea4-34035340df77\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cocky Bhabha\",\"description\":\"Language Engineering Excellence.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.345767\",\"folder\":null,\"id\":\"8b9a66d4-a924-4b84-a2b5-5dd0645ac07a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Thirsty Zobell\",\"description\":\"Unleashing Business Potential through Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.722319\",\"folder\":null,\"id\":\"c912fd6b-b32d-409f-a0e5-c6249b066429\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Fervent Shaw\",\"description\":\"Language Architect at Work!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.750779\",\"folder\":null,\"id\":\"9d755cd4-c652-43e0-a68d-75a5475ce7a3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Giggly Newton\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.786602\",\"folder\":null,\"id\":\"0d3af7de-1ada-4c43-a69f-1bfad370ccfc\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Modest Yalow\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.792245\",\"folder\":null,\"id\":\"b6444376-4162-436b-8b40-f5a6afc850db\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sad Bhabha\",\"description\":\"Empowering Enterprises with Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.890349\",\"folder\":null,\"id\":\"d90af439-fb34-4d27-98f2-06f7f9a9ed8c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Spirited Hoover\",\"description\":\"The Pinnacle of Prompt Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.905750\",\"folder\":null,\"id\":\"31597ce2-de3c-490b-9ead-3f702f63cfd9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Trusting Davinci\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:08.001400\",\"folder\":null,\"id\":\"b43c63e9-a257-4a53-8acc-049e13706ac2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"23\",\"description\":\"23\",\"data\":{\"nodes\":[{\"width\":384,\"height\":467,\"id\":\"PromptTemplate-K7xiS\",\"type\":\"genericNode\",\"position\":{\"x\":-658.2250903773149,\"y\":809.352046606987},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"dasdas\",\"dasdasd\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"{dasdas}\\n{dasdasd}\\n\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"dasdas\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"dasdas\",\"display_name\":\"dasdas\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"dasdasd\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"dasdasd\",\"display_name\":\"dasdasd\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"PromptTemplate\",\"BasePromptTemplate\",\"StringPromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"dasdas\",\"dasdasd\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-K7xiS\"},\"selected\":false,\"positionAbsolute\":{\"x\":-658.2250903773149,\"y\":809.352046606987},\"dragging\":false},{\"width\":384,\"height\":366,\"id\":\"AirbyteJSONLoader-DXfcM\",\"type\":\"genericNode\",\"position\":{\"x\":-1110.8267574563533,\"y\":569.1107380883907},\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"suffixes\":[\".json\"],\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\"json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-DXfcM\"},\"selected\":false,\"positionAbsolute\":{\"x\":-1110.8267574563533,\"y\":569.1107380883907},\"dragging\":false},{\"width\":384,\"height\":376,\"id\":\"PromptRunner-ckWMH\",\"type\":\"genericNode\",\"position\":{\"x\":-1149.4746387825978,\"y\":992.3970573758324},\"data\":{\"type\":\"PromptRunner\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.prompts import PromptTemplate\\nfrom langchain.schema import Document\\n\\n\\nclass PromptRunner(CustomComponent):\\n    display_name: str = \\\"Prompt Runner\\\"\\n    description: str = \\\"Run a Chain with the given PromptTemplate\\\"\\n    beta: bool = True\\n    field_config = {\\n        \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n        \\\"prompt\\\": {\\n            \\\"display_name\\\": \\\"Prompt Template\\\",\\n            \\\"info\\\": \\\"Make sure the prompt has all variables filled.\\\",\\n        },\\n        \\\"code\\\": {\\\"show\\\": False},\\n    }\\n\\n    def build(self, llm: BaseLLM, prompt: PromptTemplate, inputs: dict = {}) -> Document:\\n        chain = prompt | llm\\n        # The input is an empty dict because the prompt is already filled\\n        result = chain.invoke(input=inputs)\\n        if hasattr(result, \\\"content\\\"):\\n            result = result.content\\n        self.repr_value = result\\n        return Document(page_content=str(result))\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"inputs\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"inputs\",\"display_name\":\"inputs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLM\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt Template\",\"advanced\":false,\"dynamic\":false,\"info\":\"Make sure the prompt has all variables filled.\",\"type\":\"PromptTemplate\",\"list\":false}},\"description\":\"Run a Chain with the given PromptTemplate\",\"base_classes\":[\"Document\"],\"display_name\":\"Prompt Runner\",\"custom_fields\":{\"inputs\":null,\"llm\":null,\"prompt\":null},\"output_types\":[\"PromptRunner\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"PromptRunner-ckWMH\"},\"selected\":false,\"positionAbsolute\":{\"x\":-1149.4746387825978,\"y\":992.3970573758324},\"dragging\":false}],\"edges\":[{\"source\":\"PromptRunner-ckWMH\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œPromptRunnerœ,œidœ:œPromptRunner-ckWMHœ}\",\"target\":\"PromptTemplate-K7xiS\",\"targetHandle\":\"{œfieldNameœ:œdasdasdœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"dasdasd\",\"id\":\"PromptTemplate-K7xiS\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"PromptRunner\",\"id\":\"PromptRunner-ckWMH\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-PromptRunner-ckWMH{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œPromptRunnerœ,œidœ:œPromptRunner-ckWMHœ}-PromptTemplate-K7xiS{œfieldNameœ:œdasdasdœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\"},{\"source\":\"AirbyteJSONLoader-DXfcM\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œAirbyteJSONLoaderœ,œidœ:œAirbyteJSONLoader-DXfcMœ}\",\"target\":\"PromptTemplate-K7xiS\",\"targetHandle\":\"{œfieldNameœ:œdasdasœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"dasdas\",\"id\":\"PromptTemplate-K7xiS\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"AirbyteJSONLoader\",\"id\":\"AirbyteJSONLoader-DXfcM\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-AirbyteJSONLoader-DXfcM{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œAirbyteJSONLoaderœ,œidœ:œAirbyteJSONLoader-DXfcMœ}-PromptTemplate-K7xiS{œfieldNameœ:œdasdasœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\"}],\"viewport\":{\"x\":721.09842496776,\"y\":-303.59762799439625,\"zoom\":0.6417129487814537}},\"is_component\":false,\"updated_at\":\"2023-12-08T22:52:14.560323\",\"folder\":null,\"id\":\"8533c46e-21fd-4b92-b68e-1086ea86c72d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Stonebraker\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:26:42.332360\",\"folder\":null,\"id\":\"92bc0875-4a73-44f2-9410-3b8342e404bf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search (1)\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n    display_name: str = \\\"Metaphor Search\\\"\\n    description: str = \\\"Search in Metaphor with a custom string.\\\"\\n    beta = True\\n    \\n    def build_config(self):\\n        return {\\n        \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"},   \\n        \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n        \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\",  \\\"is_list\\\": True},\\n        \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n        \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n        \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n        \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n    }\\n\\n    def build(\\n        self,\\n        methaphor_client: Data,\\n        query: str,\\n        search_type: str='keyword',\\n        search_num_results: int = 5,\\n        include_domains: List[str]= [\\\"youtube.com\\\"],\\n        use_autoprompt: bool = False,\\n        start_date: str=\\\"2023-01-01\\\",\\n        \\n    ) -> Data:\\n        \\n        results = []\\n        for domain in include_domains:\\n            response = methaphor_client.search(\\n                    query,\\n                    num_results=int(search_num_results),\\n                    include_domains=[domain],\\n                    use_autoprompt=use_autoprompt,\\n                    type=search_type,\\n                    # start_crawl_date=start_date,\\n                    start_published_date=start_date\\n                )\\n            results.extend(response.results)\\n    \\n        self.repr_value = results\\n\\n        return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-dMB5d\"},\"id\":\"CustomComponent-dMB5d\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:43.668665\",\"folder\":null,\"id\":\"912265df-9b87-4b30-a585-1ca59b944391\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search (2)\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n    display_name: str = \\\"Metaphor Search\\\"\\n    description: str = \\\"Search in Metaphor with a custom string.\\\"\\n    beta = True\\n    \\n    def build_config(self):\\n        return {\\n        \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"},   \\n        \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n        \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\",  \\\"is_list\\\": True},\\n        \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n        \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n        \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n        \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n    }\\n\\n    def build(\\n        self,\\n        methaphor_client: Data,\\n        query: str,\\n        search_type: str='keyword',\\n        search_num_results: int = 5,\\n        include_domains: List[str]= [\\\"youtube.com\\\"],\\n        use_autoprompt: bool = False,\\n        start_date: str=\\\"2023-01-01\\\",\\n        \\n    ) -> Data:\\n        \\n        results = []\\n        for domain in include_domains:\\n            response = methaphor_client.search(\\n                    query,\\n                    num_results=int(search_num_results),\\n                    include_domains=[domain],\\n                    use_autoprompt=use_autoprompt,\\n                    type=search_type,\\n                    # start_crawl_date=start_date,\\n                    start_published_date=start_date\\n                )\\n            results.extend(response.results)\\n    \\n        self.repr_value = results\\n\\n        return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-ipifC\"},\"id\":\"CustomComponent-ipifC\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:49.799612\",\"folder\":null,\"id\":\"ca83ee08-2f93-427d-9897-80fef6dd5447\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n    display_name: str = \\\"Metaphor Search\\\"\\n    description: str = \\\"Search in Metaphor with a custom string.\\\"\\n    beta = True\\n    \\n    def build_config(self):\\n        return {\\n        \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"},   \\n        \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n        \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\",  \\\"is_list\\\": True},\\n        \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n        \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n        \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n        \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n    }\\n\\n    def build(\\n        self,\\n        methaphor_client: Data,\\n        query: str,\\n        search_type: str='keyword',\\n        search_num_results: int = 5,\\n        include_domains: List[str]= [\\\"youtube.com\\\"],\\n        use_autoprompt: bool = False,\\n        start_date: str=\\\"2023-01-01\\\",\\n        \\n    ) -> Data:\\n        \\n        results = []\\n        for domain in include_domains:\\n            response = methaphor_client.search(\\n                    query,\\n                    num_results=int(search_num_results),\\n                    include_domains=[domain],\\n                    use_autoprompt=use_autoprompt,\\n                    type=search_type,\\n                    # start_crawl_date=start_date,\\n                    start_published_date=start_date\\n                )\\n            results.extend(response.results)\\n    \\n        self.repr_value = results\\n\\n        return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-Y4qL7\"},\"id\":\"CustomComponent-Y4qL7\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:53.719960\",\"folder\":null,\"id\":\"5847602b-769a-4a82-82e8-a70f54a59929\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Williams\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:27:45.691254\",\"folder\":null,\"id\":\"0e3bdba9-127a-4399-81a4-2865b70a4a47\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Shared Component\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":328,\"id\":\"CSVAgent-TK9Ea\",\"type\":\"genericNode\",\"position\":{\"x\":251.25514772667083,\"y\":160.7424529887874},\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"beta\":false,\"error\":null},\"id\":\"CSVAgent-TK9Ea\"},\"positionAbsolute\":{\"x\":251.25514772667083,\"y\":160.7424529887874}}],\"edges\":[],\"viewport\":{\"x\":104.85568116317398,\"y\":88.26375874183478,\"zoom\":0.7169776240079145}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:28:34.119070\",\"folder\":null,\"id\":\"29c1a247-47b0-457b-8666-7c0a67dc72b0\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"teste cristhian\",\"description\":\"11111\",\"data\":{\"nodes\":[{\"width\":384,\"height\":328,\"id\":\"CSVAgent-P5wrB\",\"type\":\"genericNode\",\"position\":{\"x\":251.25514772667083,\"y\":160.7424529887874},\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"beta\":false,\"error\":null},\"id\":\"CSVAgent-P5wrB\"},\"positionAbsolute\":{\"x\":251.25514772667083,\"y\":160.7424529887874}},{\"width\":384,\"height\":626,\"id\":\"OpenAI-zpihD\",\"type\":\"genericNode\",\"position\":{\"x\":-56.983202536768374,\"y\":61.715652677908665},\"data\":{\"type\":\"OpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"batch_size\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":20,\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"best_of\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"best_of\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"frequency_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"frequency_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"logit_bias\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"logit_bias\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-babbage-001\",\"password\":false,\"options\":[\"text-davinci-003\",\"text-davinci-002\",\"text-curie-001\",\"text-babbage-001\",\"text-ada-001\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false,\"value\":\"dasdasdasdsadasdas\"},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"presence_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"presence_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"1.4\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"top_p\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"top_p\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"OpenAI\"},\"description\":\"OpenAI large language models.\",\"base_classes\":[\"OpenAI\",\"BaseLanguageModel\",\"BaseLLM\",\"BaseOpenAI\"],\"display_name\":\"OpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAI-zpihD\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-56.983202536768374,\"y\":61.715652677908665}}],\"edges\":[],\"viewport\":{\"x\":104.85568116317398,\"y\":88.26375874183478,\"zoom\":0.7169776240079145}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:40:48.453096\",\"folder\":null,\"id\":\"2e59d013-2acb-49a6-915b-9231a7e6eb58\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVAgent (1)\",\"description\":\"Construct a CSV agent from a CSV and tools.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVAgent-jsHqy\"},\"id\":\"CSVAgent-jsHqy\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:31:17.317322\",\"folder\":null,\"id\":\"ab1034a9-9b5b-4c65-bf6e-9f098a403942\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Suspicious Wilsonfasdfsd\",\"description\":\"Building Linguistic Labyrinths.fasdfads\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T14:43:45.298121\",\"folder\":null,\"id\":\"7d91c0c5-fba6-4c60-b4d1-11d430ef357a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (1)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-pAHh6\"},\"id\":\"AirbyteJSONLoader-pAHh6\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:47:58.573137\",\"folder\":null,\"id\":\"f0cc4292-97cc-4748-803d-949e30dcf661\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"ff2\":\"d3bbd\"},{\"w\":\"bvd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-0zU2Q\"},\"id\":\"AirbyteJSONLoader-0zU2Q\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:50:09.035318\",\"folder\":null,\"id\":\"5e3c0d55-1a00-4e15-9821-0c625c6415ff\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVAgent\",\"description\":\"Construct a CSV agent from a CSV and tools.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVAgent-Ub1Xe\"},\"id\":\"CSVAgent-Ub1Xe\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:50:16.985419\",\"folder\":null,\"id\":\"baee8061-4788-4ce6-928f-c6ce1ecb443c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Heisenberg\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":366,\"id\":\"CSVLoader-RMUx9\",\"type\":\"genericNode\",\"position\":{\"x\":111,\"y\":345.51250076293945},\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"z2b\":\"z9\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null},\"id\":\"CSVLoader-RMUx9\"},\"positionAbsolute\":{\"x\":111,\"y\":345.51250076293945}}],\"edges\":[],\"viewport\":{\"x\":0,\"y\":0,\"zoom\":1}},\"is_component\":false,\"updated_at\":\"2023-12-09T14:38:40.291137\",\"folder\":null,\"id\":\"109e9629-d569-4555-9d40-42203a5ed035\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CohereEmbeddings\",\"description\":\"Cohere embedding models.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CohereEmbeddings\",\"node\":{\"template\":{\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cohere_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"cohere_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"embed-english-v2.0\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"truncate\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"truncate\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"user_agent\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"langchain\",\"password\":false,\"name\":\"user_agent\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"CohereEmbeddings\"},\"description\":\"Cohere embedding models.\",\"base_classes\":[\"CohereEmbeddings\",\"Embeddings\"],\"display_name\":\"CohereEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/cohere\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CohereEmbeddings-HFUAf\"},\"id\":\"CohereEmbeddings-HFUAf\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:50:46.172344\",\"folder\":null,\"id\":\"662d8040-d47c-40db-bda1-66489a1c9d24\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (1)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-3wrib\"},\"id\":\"CSVLoader-3wrib\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:56:11.662526\",\"folder\":null,\"id\":\"4fae6aec-ddbd-498d-a4d1-ca0290f6a5ad\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (2)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-VEjyx\"},\"id\":\"CSVLoader-VEjyx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:57:37.560784\",\"folder\":null,\"id\":\"d80635ee-966c-41f2-981c-afa2c388ac6e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (3)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-PIhOc\"},\"id\":\"CSVLoader-PIhOc\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:00:27.991966\",\"folder\":null,\"id\":\"c5cc4c32-77c8-4889-a9f8-2632466b7366\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (4)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-deB43\"},\"id\":\"CSVLoader-deB43\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:00:42.509243\",\"folder\":null,\"id\":\"0ab59938-ccf4-4bb9-b285-1f5da38648f0\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-mdkLm\"},\"id\":\"CSVLoader-mdkLm\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:02:17.458354\",\"folder\":null,\"id\":\"f127b7e7-4149-492e-8998-6b1b35ec4153\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (5)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-FRc6Y\"},\"id\":\"CSVLoader-FRc6Y\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:02:26.958867\",\"folder\":null,\"id\":\"a870a096-725c-4914-add0-8d57d710b7e5\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (2)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-Z0uol\"},\"id\":\"AirbyteJSONLoader-Z0uol\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:03:33.764117\",\"folder\":null,\"id\":\"2a37c76c-65c8-4c01-a72d-eb46f3d41a56\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-28ASv\"},\"id\":\"AmazonBedrockEmbeddings-28ASv\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:03:41.066618\",\"folder\":null,\"id\":\"850ba4e6-96ca-49a7-9b0c-4b7048fd52c8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"ConversationBufferMemory\",\"description\":\"Buffer for storing conversation memory.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"ConversationBufferMemory\",\"node\":{\"template\":{\"chat_memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMessageHistory\",\"list\":false},\"ai_prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"AI\",\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"human_prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"Human\",\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"input_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\",\"type\":\"str\",\"list\":false},\"memory_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"output_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\",\"type\":\"str\",\"list\":false},\"return_messages\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ConversationBufferMemory\"},\"description\":\"Buffer for storing conversation memory.\",\"base_classes\":[\"BaseMemory\",\"BaseChatMemory\",\"ConversationBufferMemory\"],\"display_name\":\"ConversationBufferMemory\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/buffer\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"ConversationBufferMemory-WaoLx\"},\"id\":\"ConversationBufferMemory-WaoLx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:04:46.058568\",\"folder\":null,\"id\":\"be650940-0449-4eb0-a708-056310f924fd\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (1)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-Bs5PG\"},\"id\":\"AmazonBedrockEmbeddings-Bs5PG\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:05:50.570800\",\"folder\":null,\"id\":\"53ad1fe2-f3af-4354-86e0-eb141ce12859\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (2)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-zSZ4t\"},\"id\":\"AmazonBedrockEmbeddings-zSZ4t\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:06:11.415088\",\"folder\":null,\"id\":\"e9ed1c90-146e-452d-8ccd-ebf2e0da4331\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (3)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-Bxhlt\"},\"id\":\"AmazonBedrockEmbeddings-Bxhlt\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:07:06.411108\",\"folder\":null,\"id\":\"83783c57-64e3-41a6-aa7e-ed82f80f1e53\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (6)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"z2b\":\"z9\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-2pn2o\"},\"id\":\"CSVLoader-2pn2o\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:38:30.706258\",\"folder\":null,\"id\":\"c4ae9de6-9df3-4d3c-afc9-1752af4fecd7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Agent Initializer\",\"description\":\"Initialize a Langchain Agent.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AgentInitializer\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, List, Union\\n\\nfrom langchain.agents import AgentExecutor, AgentType, initialize_agent, types\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool\\n\\n\\nclass AgentInitializerComponent(CustomComponent):\\n    display_name: str = \\\"Agent Initializer\\\"\\n    description: str = \\\"Initialize a Langchain Agent.\\\"\\n    documentation: str = \\\"https://python.langchain.com/docs/modules/agents/agent_types/\\\"\\n\\n    def build_config(self):\\n        agents = list(types.AGENT_TO_CLASS.keys())\\n        # field_type and required are optional\\n        return {\\n            \\\"agent\\\": {\\\"options\\\": agents, \\\"value\\\": agents[0], \\\"display_name\\\": \\\"Agent Type\\\"},\\n            \\\"max_iterations\\\": {\\\"display_name\\\": \\\"Max Iterations\\\", \\\"value\\\": 10},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"Language Model\\\"},\\n        }\\n\\n    def build(\\n        self, agent: str, llm: BaseLanguageModel, memory: BaseChatMemory, tools: List[Tool], max_iterations: int\\n    ) -> Union[AgentExecutor, Callable]:\\n        agent = AgentType(agent)\\n        return initialize_agent(\\n            tools=tools,\\n            llm=llm,\\n            agent=agent,\\n            memory=memory,\\n            return_intermediate_steps=True,\\n            handle_parsing_errors=True,\\n            max_iterations=max_iterations,\\n        )\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"agent\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"zero-shot-react-description\",\"password\":false,\"options\":[\"zero-shot-react-description\",\"react-docstore\",\"self-ask-with-search\",\"conversational-react-description\",\"chat-zero-shot-react-description\",\"chat-conversational-react-description\",\"structured-chat-zero-shot-react-description\",\"openai-functions\",\"openai-multi-functions\",\"JsonAgent\",\"CSVAgent\",\"AgentInitializer\",\"VectorStoreAgent\",\"VectorStoreRouterAgent\",\"SQLAgent\"],\"name\":\"agent\",\"display_name\":\"Agent Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"Language Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"max_iterations\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":10,\"password\":false,\"name\":\"max_iterations\",\"display_name\":\"Max Iterations\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"memory\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMemory\",\"list\":false},\"tools\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Tool\",\"list\":true}},\"description\":\"Initialize a Langchain Agent.\",\"base_classes\":[\"Chain\",\"AgentExecutor\",\"Callable\"],\"display_name\":\"Agent Initializer\",\"custom_fields\":{\"agent\":null,\"llm\":null,\"max_iterations\":null,\"memory\":null,\"tools\":null},\"output_types\":[\"AgentInitializer\"],\"documentation\":\"https://python.langchain.com/docs/modules/agents/agent_types/\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AgentInitializer-MJrAC\"},\"id\":\"AgentInitializer-MJrAC\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:42:54.715163\",\"folder\":null,\"id\":\"ff84b5f9-5680-4084-a9f1-7d94fe675486\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Agent Initializer (1)\",\"description\":\"Initialize a Langchain Agent.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AgentInitializer\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, List, Union\\n\\nfrom langchain.agents import AgentExecutor, AgentType, initialize_agent, types\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool\\n\\n\\nclass AgentInitializerComponent(CustomComponent):\\n    display_name: str = \\\"Agent Initializer\\\"\\n    description: str = \\\"Initialize a Langchain Agent.\\\"\\n    documentation: str = \\\"https://python.langchain.com/docs/modules/agents/agent_types/\\\"\\n\\n    def build_config(self):\\n        agents = list(types.AGENT_TO_CLASS.keys())\\n        # field_type and required are optional\\n        return {\\n            \\\"agent\\\": {\\\"options\\\": agents, \\\"value\\\": agents[0], \\\"display_name\\\": \\\"Agent Type\\\"},\\n            \\\"max_iterations\\\": {\\\"display_name\\\": \\\"Max Iterations\\\", \\\"value\\\": 10},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"Language Model\\\"},\\n        }\\n\\n    def build(\\n        self, agent: str, llm: BaseLanguageModel, memory: BaseChatMemory, tools: List[Tool], max_iterations: int\\n    ) -> Union[AgentExecutor, Callable]:\\n        agent = AgentType(agent)\\n        return initialize_agent(\\n            tools=tools,\\n            llm=llm,\\n            agent=agent,\\n            memory=memory,\\n            return_intermediate_steps=True,\\n            handle_parsing_errors=True,\\n            max_iterations=max_iterations,\\n        )\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"agent\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"zero-shot-react-description\",\"password\":false,\"options\":[\"zero-shot-react-description\",\"react-docstore\",\"self-ask-with-search\",\"conversational-react-description\",\"chat-zero-shot-react-description\",\"chat-conversational-react-description\",\"structured-chat-zero-shot-react-description\",\"openai-functions\",\"openai-multi-functions\",\"JsonAgent\",\"CSVAgent\",\"AgentInitializer\",\"VectorStoreAgent\",\"VectorStoreRouterAgent\",\"SQLAgent\"],\"name\":\"agent\",\"display_name\":\"Agent Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"Language Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"max_iterations\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":10,\"password\":false,\"name\":\"max_iterations\",\"display_name\":\"Max Iterations\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"memory\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMemory\",\"list\":false},\"tools\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Tool\",\"list\":true}},\"description\":\"Initialize a Langchain Agent.\",\"base_classes\":[\"Chain\",\"AgentExecutor\",\"Callable\"],\"display_name\":\"Agent Initializer\",\"custom_fields\":{\"agent\":null,\"llm\":null,\"max_iterations\":null,\"memory\":null,\"tools\":null},\"output_types\":[\"AgentInitializer\"],\"documentation\":\"https://python.langchain.com/docs/modules/agents/agent_types/\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AgentInitializer-3lcZ4\"},\"id\":\"AgentInitializer-3lcZ4\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:43:20.819934\",\"folder\":null,\"id\":\"97f5db9f-d6cc-4555-88fb-3be102c67814\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Exuberant Banach\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T14:52:49.951416\",\"folder\":null,\"id\":\"a600acd1-213a-4ce7-8648-ab2ee59f5918\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (3)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-JhQtx\"},\"id\":\"AirbyteJSONLoader-JhQtx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:44:49.587337\",\"folder\":null,\"id\":\"07c52ad7-ca52-4cdd-ab40-74a91dbad0dd\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (4)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-bIvDc\"},\"id\":\"AirbyteJSONLoader-bIvDc\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:45:13.458500\",\"folder\":null,\"id\":\"53e4d256-3653-444b-b8e0-fb97b3ae5c7e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (5)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-2BLS8\"},\"id\":\"AirbyteJSONLoader-2BLS8\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:45:44.461699\",\"folder\":null,\"id\":\"b5158cc1-c6b8-4e25-907a-bc7e7637aa38\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (4)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-NsBzN\"},\"id\":\"AmazonBedrockEmbeddings-NsBzN\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:50:29.791575\",\"folder\":null,\"id\":\"3fb77f72-1be7-4ce0-ae89-a82b0eee9acf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Golick\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.707854\",\"folder\":null,\"id\":\"9c5d21c2-ea82-4cf4-a591-c3d3fd3f13e6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Davinci (1)\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.761150\",\"folder\":null,\"id\":\"f8e2e16e-129c-4116-9626-2c6b524d97b7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Degrasse\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.764440\",\"folder\":null,\"id\":\"d7f4f7b5-effe-4834-8cab-4f2fc4f6e9de\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Prickly Archimedes\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.767546\",\"folder\":null,\"id\":\"2265d813-4a87-410f-b06a-65e35db8219e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Boring Heyrovsky\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.765105\",\"folder\":null,\"id\":\"10bfd881-e67e-4c33-965d-ee041695edce\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nostalgic Carroll\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.811794\",\"folder\":null,\"id\":\"63fa5653-4513-47f2-8dfa-baeb1d981f93\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Perlman\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.814993\",\"folder\":null,\"id\":\"f4bc5945-20d9-4703-a5bb-6a4a3ef7fc8e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hilarious Stallman\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.813144\",\"folder\":null,\"id\":\"8d8b80f9-4b74-4cd5-bc5c-08a32c4d2b95\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Awesome Einstein\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:19.518262\",\"folder\":null,\"id\":\"21808fd7-a492-4e29-8863-301c2785f542\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Funky Swanson\",\"description\":\"Sculpting Language with Precision.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.185637\",\"folder\":null,\"id\":\"7752299a-4aa9-44db-8d9c-5c4a2ac1b071\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Romantic Pascal\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.223064\",\"folder\":null,\"id\":\"78f48a13-6a9f-42ce-9d58-ec9b63b381d2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Bartik\",\"description\":\"Sculpting Language with Precision.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.239758\",\"folder\":null,\"id\":\"38074091-3d7c-4d42-b61b-ae195c1b8a4e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Condescending Joliot\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.271996\",\"folder\":null,\"id\":\"773020aa-5c2d-4632-ad9e-21276861ab93\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Kalam\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.283929\",\"folder\":null,\"id\":\"0092d077-6d31-401f-a739-b164476b90ed\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grinning Bhabha\",\"description\":\"Your Passport to Linguistic Landscapes.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.467739\",\"folder\":null,\"id\":\"4a395211-712d-4dd2-b3bb-e6b19200f15d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Babbage\",\"description\":\"Design Dialogues with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.742990\",\"folder\":null,\"id\":\"3f086a82-3e29-4328-9da8-e02dc9201744\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tiny Volta\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:24:18.594247\",\"folder\":null,\"id\":\"659b8289-c8e8-413d-9b2b-51e68411f170\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Radiant Jennings\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:24:42.640309\",\"folder\":null,\"id\":\"f55f0640-d47e-4471-b1ba-3411d38ecac5\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Distracted Shaw\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:24:58.376247\",\"folder\":null,\"id\":\"a039811e-449a-4244-83ed-4ddd731a0921\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Peppy Murdock (1)\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:25:14.674524\",\"folder\":null,\"id\":\"0faf6144-6ca6-4f64-a343-665ae54774ef\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Volta\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:26:50.418029\",\"folder\":null,\"id\":\"c5d149d0-c401-4f5e-b79f-2abcc7b8d98d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Bubbly Curie\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:27:10.900899\",\"folder\":null,\"id\":\"7bb2d226-9740-433d-861f-a499632c5a13\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Radiant Nobel\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:29:11.541630\",\"folder\":null,\"id\":\"947906d8-75ea-470c-a8e2-cc80c5d3bdbb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cheerful Northcutt\",\"description\":\"Unleashing Business Potential through Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:29:37.169791\",\"folder\":null,\"id\":\"56f109fd-2c18-42ed-a9b2-089a678a0c11\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Suspicious Khayyam\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:30:24.686359\",\"folder\":null,\"id\":\"551d7bfa-49aa-43f1-a779-e47eabc2aaf2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Spence\",\"description\":\"Create, Curate, Communicate with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:30:47.738472\",\"folder\":null,\"id\":\"12aef128-130e-492e-bf84-62d4cb4cd456\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Lavoisier\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:31:43.272365\",\"folder\":null,\"id\":\"9952c044-6903-4fba-a270-6ed0b90c93c9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Upbeat Bose\",\"description\":\"Unravel the Art of Articulation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:32:23.972035\",\"folder\":null,\"id\":\"65f49582-c9fa-4c67-a2bc-4e8fa73ca731\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tender Perlman\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:33:26.984083\",\"folder\":null,\"id\":\"9ae57fe2-c677-47fa-a059-7d3d915a1178\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sharp Cori\",\"description\":\"Conversation Catalyst Engine.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:33:52.377359\",\"folder\":null,\"id\":\"2920dde2-5c24-4fe0-9c06-ef86b5a16a99\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"}]"
-          },
-          "headersSize": -1,
-          "bodySize": -1,
-          "redirectURL": ""
-        },
-        "cache": {},
-        "timings": { "send": -1, "wait": -1, "receive": 1.03 }
-      },
-      {
-        "startedDateTime": "2023-12-11T18:54:58.423Z",
-        "time": 0.901,
-        "request": {
-          "method": "GET",
-          "url": "http://localhost:3000/api/v1/all",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Accept", "value": "application/json, text/plain, */*" },
-            { "name": "Accept-Encoding", "value": "gzip, deflate, br" },
-            { "name": "Accept-Language", "value": "en-US,en;q=0.9" },
-            { "name": "Authorization", "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20" },
-            { "name": "Connection", "value": "keep-alive" },
-            { "name": "Cookie", "value": "access_tkn_lflw=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20; refresh_tkn_lflw=auto" },
-            { "name": "Host", "value": "localhost:3000" },
-            { "name": "Referer", "value": "http://localhost:3000/flows" },
-            { "name": "Sec-Fetch-Dest", "value": "empty" },
-            { "name": "Sec-Fetch-Mode", "value": "cors" },
-            { "name": "Sec-Fetch-Site", "value": "same-origin" },
-            { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" },
-            { "name": "sec-ch-ua", "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" },
-            { "name": "sec-ch-ua-mobile", "value": "?0" },
-            { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
-          ],
-          "queryString": [],
-          "headersSize": -1,
-          "bodySize": -1
-        },
-        "response": {
-          "status": 200,
-          "statusText": "OK",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Access-Control-Allow-Origin", "value": "*" },
-            { "name": "connection", "value": "close" },
-            { "name": "content-length", "value": "331584" },
-            { "name": "content-type", "value": "application/json" },
-            { "name": "date", "value": "Mon, 11 Dec 2023 18:54:58 GMT" },
-            { "name": "server", "value": "uvicorn" }
-          ],
-          "content": {
-            "size": -1,
-            "mimeType": "application/json",
-            "text": "{\"chains\":{\"ConversationalRetrievalChain\":{\"template\":{\"callbacks\":{\"type\":\"Callbacks\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"condense_question_llm\":{\"type\":\"BaseLanguageModel\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"condense_question_llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"condense_question_prompt\":{\"type\":\"BasePromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":{\"input_variables\":[\"chat_history\",\"question\"],\"input_types\":{},\"output_parser\":null,\"partial_variables\":{},\"template\":\"Given the following conversation and a follow up question, rephrase the follow up question to be a standalone question, in its original language.\\n\\nChat History:\\n{chat_history}\\nFollow Up Input: {question}\\nStandalone question:\",\"template_format\":\"f-string\",\"validate_template\":false},\"fileTypes\":[],\"password\":false,\"name\":\"condense_question_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory\":{\"type\":\"BaseChatMemory\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"retriever\":{\"type\":\"BaseRetriever\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"chain_type\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"stuff\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"stuff\",\"map_reduce\",\"map_rerank\",\"refine\"],\"name\":\"chain_type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"combine_docs_chain_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"combine_docs_chain_kwargs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"return_source_documents\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_source_documents\",\"display_name\":\"Return source documents\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ConversationalRetrievalChain\"},\"description\":\"Convenience method to load chain from LLM and retriever.\",\"base_classes\":[\"BaseConversationalRetrievalChain\",\"ConversationalRetrievalChain\",\"Chain\",\"Callable\"],\"display_name\":\"ConversationalRetrievalChain\",\"documentation\":\"https://python.langchain.com/docs/modules/chains/popular/chat_vector_db\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"LLMCheckerChain\":{\"template\":{\"check_assertions_prompt\":{\"type\":\"PromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":{\"input_variables\":[\"assertions\"],\"input_types\":{},\"output_parser\":null,\"partial_variables\":{},\"template\":\"Here is a bullet point list of assertions:\\n{assertions}\\nFor each assertion, determine whether it is true or false. If it is false, explain why.\\n\\n\",\"template_format\":\"f-string\",\"validate_template\":false},\"fileTypes\":[],\"password\":false,\"name\":\"check_assertions_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"create_draft_answer_prompt\":{\"type\":\"PromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":{\"input_variables\":[\"question\"],\"input_types\":{},\"output_parser\":null,\"partial_variables\":{},\"template\":\"{question}\\n\\n\",\"template_format\":\"f-string\",\"validate_template\":false},\"fileTypes\":[],\"password\":false,\"name\":\"create_draft_answer_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"list_assertions_prompt\":{\"type\":\"PromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":{\"input_variables\":[\"statement\"],\"input_types\":{},\"output_parser\":null,\"partial_variables\":{},\"template\":\"Here is a statement:\\n{statement}\\nMake a bullet point list of the assumptions you made when producing the above statement.\\n\\n\",\"template_format\":\"f-string\",\"validate_template\":false},\"fileTypes\":[],\"password\":false,\"name\":\"list_assertions_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"revised_answer_prompt\":{\"type\":\"PromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":{\"input_variables\":[\"checked_assertions\",\"question\"],\"input_types\":{},\"output_parser\":null,\"partial_variables\":{},\"template\":\"{checked_assertions}\\n\\nQuestion: In light of the above assertions and checks, how would you answer the question '{question}'?\\n\\nAnswer:\",\"template_format\":\"f-string\",\"validate_template\":false},\"fileTypes\":[],\"password\":false,\"name\":\"revised_answer_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"LLMCheckerChain\"},\"description\":\"\",\"base_classes\":[\"Chain\",\"LLMCheckerChain\",\"Callable\"],\"display_name\":\"LLMCheckerChain\",\"documentation\":\"https://python.langchain.com/docs/modules/chains/additional/llm_checker\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"LLMMathChain\":{\"template\":{\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"llm_chain\":{\"type\":\"LLMChain\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm_chain\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory\":{\"type\":\"BaseMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"prompt\":{\"type\":\"BasePromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":{\"input_variables\":[\"question\"],\"input_types\":{},\"output_parser\":null,\"partial_variables\":{},\"template\":\"Translate a math problem into a expression that can be executed using Python's numexpr library. Use the output of running this code to answer the question.\\n\\nQuestion: ${{Question with math problem.}}\\n```text\\n${{single line mathematical expression that solves the problem}}\\n```\\n...numexpr.evaluate(text)...\\n```output\\n${{Output of running the code}}\\n```\\nAnswer: ${{Answer}}\\n\\nBegin.\\n\\nQuestion: What is 37593 * 67?\\n```text\\n37593 * 67\\n```\\n...numexpr.evaluate(\\\"37593 * 67\\\")...\\n```output\\n2518731\\n```\\nAnswer: 2518731\\n\\nQuestion: 37593^(1/5)\\n```text\\n37593**(1/5)\\n```\\n...numexpr.evaluate(\\\"37593**(1/5)\\\")...\\n```output\\n8.222831614237718\\n```\\nAnswer: 8.222831614237718\\n\\nQuestion: {question}\\n\",\"template_format\":\"f-string\",\"validate_template\":false},\"fileTypes\":[],\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"question\",\"fileTypes\":[],\"password\":false,\"name\":\"input_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"output_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"answer\",\"fileTypes\":[],\"password\":false,\"name\":\"output_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"LLMMathChain\"},\"description\":\"Chain that interprets a prompt and executes python code to do math.\",\"base_classes\":[\"Chain\",\"LLMMathChain\",\"Callable\"],\"display_name\":\"LLMMathChain\",\"documentation\":\"https://python.langchain.com/docs/modules/chains/additional/llm_math\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"RetrievalQA\":{\"template\":{\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"combine_documents_chain\":{\"type\":\"BaseCombineDocumentsChain\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"combine_documents_chain\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory\":{\"type\":\"BaseMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"retriever\":{\"type\":\"BaseRetriever\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"query\",\"fileTypes\":[],\"password\":false,\"name\":\"input_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"output_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"result\",\"fileTypes\":[],\"password\":false,\"name\":\"output_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"return_source_documents\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"password\":false,\"name\":\"return_source_documents\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"RetrievalQA\"},\"description\":\"Chain for question-answering against an index.\",\"base_classes\":[\"RetrievalQA\",\"BaseRetrievalQA\",\"Chain\",\"Callable\"],\"display_name\":\"RetrievalQA\",\"documentation\":\"https://python.langchain.com/docs/modules/chains/popular/vector_db_qa\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"RetrievalQAWithSourcesChain\":{\"template\":{\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"combine_documents_chain\":{\"type\":\"BaseCombineDocumentsChain\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"combine_documents_chain\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory\":{\"type\":\"BaseMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"retriever\":{\"type\":\"BaseRetriever\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"answer_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"answer\",\"fileTypes\":[],\"password\":false,\"name\":\"answer_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_docs_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"docs\",\"fileTypes\":[],\"password\":false,\"name\":\"input_docs_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"max_tokens_limit\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":3375,\"fileTypes\":[],\"password\":false,\"name\":\"max_tokens_limit\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"question_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"question\",\"fileTypes\":[],\"password\":false,\"name\":\"question_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"reduce_k_below_max_tokens\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"reduce_k_below_max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"return_source_documents\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"password\":false,\"name\":\"return_source_documents\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"sources_answer_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"sources\",\"fileTypes\":[],\"password\":false,\"name\":\"sources_answer_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"RetrievalQAWithSourcesChain\"},\"description\":\"Question-answering with sources over an index.\",\"base_classes\":[\"RetrievalQAWithSourcesChain\",\"BaseQAWithSourcesChain\",\"Chain\",\"Callable\"],\"display_name\":\"RetrievalQAWithSourcesChain\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"SQLDatabaseChain\":{\"template\":{\"db\":{\"type\":\"SQLDatabase\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"db\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"prompt\":{\"type\":\"BasePromptTemplate\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"SQLDatabaseChain\"},\"description\":\"Create a SQLDatabaseChain from an LLM and a database connection.\",\"base_classes\":[\"SQLDatabaseChain\",\"Chain\",\"Callable\"],\"display_name\":\"SQLDatabaseChain\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"CombineDocsChain\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"chain_type\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"stuff\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"stuff\",\"map_reduce\",\"map_rerank\",\"refine\"],\"name\":\"chain_type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"load_qa_chain\"},\"description\":\"Load question answering chain.\",\"base_classes\":[\"BaseCombineDocumentsChain\",\"Callable\"],\"display_name\":\"CombineDocsChain\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"SeriesCharacterChain\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"character\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"character\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"series\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"series\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"SeriesCharacterChain\"},\"description\":\"SeriesCharacterChain is a chain you can use to have a conversation with a character from a series.\",\"base_classes\":[\"LLMChain\",\"BaseCustomChain\",\"Chain\",\"ConversationChain\",\"SeriesCharacterChain\",\"Callable\"],\"display_name\":\"SeriesCharacterChain\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"MidJourneyPromptChain\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory\":{\"type\":\"BaseChatMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"MidJourneyPromptChain\"},\"description\":\"MidJourneyPromptChain is a chain you can use to generate new MidJourney prompts.\",\"base_classes\":[\"LLMChain\",\"BaseCustomChain\",\"Chain\",\"ConversationChain\",\"MidJourneyPromptChain\"],\"display_name\":\"MidJourneyPromptChain\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"TimeTravelGuideChain\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory\":{\"type\":\"BaseChatMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"TimeTravelGuideChain\"},\"description\":\"Time travel guide chain.\",\"base_classes\":[\"LLMChain\",\"BaseCustomChain\",\"TimeTravelGuideChain\",\"Chain\",\"ConversationChain\"],\"display_name\":\"TimeTravelGuideChain\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"LLMChain\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory\":{\"type\":\"BaseMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"prompt\":{\"type\":\"BasePromptTemplate\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"documentation\":\"\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"field_formatters\":{},\"beta\":true},\"ConversationChain\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory\":{\"type\":\"BaseMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"Memory to load context from. If none is provided, a ConversationBufferMemory will be used.\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langchain.chains import ConversationChain\\nfrom typing import Optional, Union, Callable\\nfrom langflow.field_typing import BaseLanguageModel, BaseMemory, Chain\\n\\n\\nclass ConversationChainComponent(CustomComponent):\\n    display_name = \\\"ConversationChain\\\"\\n    description = \\\"Chain to have a conversation and load context from memory.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\n                \\\"display_name\\\": \\\"Memory\\\",\\n                \\\"info\\\": \\\"Memory to load context from. If none is provided, a ConversationBufferMemory will be used.\\\",\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        if memory is None:\\n            return ConversationChain(llm=llm)\\n        return ConversationChain(llm=llm, memory=memory)\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Chain to have a conversation and load context from memory.\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"ConversationChain\",\"documentation\":\"\",\"custom_fields\":{\"llm\":null,\"memory\":null},\"output_types\":[\"ConversationChain\"],\"field_formatters\":{},\"beta\":true},\"PromptRunner\":{\"template\":{\"llm\":{\"type\":\"BaseLLM\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"prompt\":{\"type\":\"PromptTemplate\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt Template\",\"advanced\":false,\"dynamic\":false,\"info\":\"Make sure the prompt has all variables filled.\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.prompts import PromptTemplate\\nfrom langchain.schema import Document\\n\\n\\nclass PromptRunner(CustomComponent):\\n    display_name: str = \\\"Prompt Runner\\\"\\n    description: str = \\\"Run a Chain with the given PromptTemplate\\\"\\n    beta: bool = True\\n    field_config = {\\n        \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n        \\\"prompt\\\": {\\n            \\\"display_name\\\": \\\"Prompt Template\\\",\\n            \\\"info\\\": \\\"Make sure the prompt has all variables filled.\\\",\\n        },\\n        \\\"code\\\": {\\\"show\\\": False},\\n    }\\n\\n    def build(self, llm: BaseLLM, prompt: PromptTemplate, inputs: dict = {}) -> Document:\\n        chain = prompt | llm\\n        # The input is an empty dict because the prompt is already filled\\n        result = chain.invoke(input=inputs)\\n        if hasattr(result, \\\"content\\\"):\\n            result = result.content\\n        self.repr_value = result\\n        return Document(page_content=str(result))\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"inputs\":{\"type\":\"dict\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"inputs\",\"display_name\":\"inputs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Run a Chain with the given PromptTemplate\",\"base_classes\":[\"Document\"],\"display_name\":\"Prompt Runner\",\"documentation\":\"\",\"custom_fields\":{\"inputs\":null,\"llm\":null,\"prompt\":null},\"output_types\":[\"PromptRunner\"],\"field_formatters\":{},\"beta\":true}},\"agents\":{\"ZeroShotAgent\":{\"template\":{\"callback_manager\":{\"type\":\"BaseCallbackManager\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callback_manager\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"output_parser\":{\"type\":\"AgentOutputParser\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tools\":{\"type\":\"BaseTool\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"format_instructions\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":true,\"value\":\"Use the following format:\\n\\nQuestion: the input question you must answer\\nThought: you should always think about what to do\\nAction: the action to take, should be one of [{tool_names}]\\nAction Input: the input to the action\\nObservation: the result of the action\\n... (this Thought/Action/Action Input/Observation can repeat N times)\\nThought: I now know the final answer\\nFinal Answer: the final answer to the original input question\",\"fileTypes\":[],\"password\":false,\"name\":\"format_instructions\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_variables\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"Answer the following questions as best you can. You have access to the following tools:\",\"fileTypes\":[],\"password\":false,\"name\":\"prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"suffix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"Begin!\\n\\nQuestion: {input}\\nThought:{agent_scratchpad}\",\"fileTypes\":[],\"password\":false,\"name\":\"suffix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ZeroShotAgent\"},\"description\":\"Construct an agent from an LLM and tools.\",\"base_classes\":[\"ZeroShotAgent\",\"BaseSingleActionAgent\",\"Agent\",\"Callable\"],\"display_name\":\"ZeroShotAgent\",\"documentation\":\"https://python.langchain.com/docs/modules/agents/how_to/custom_mrkl_agent\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"JsonAgent\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"toolkit\":{\"type\":\"BaseToolkit\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"toolkit\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"json_agent\"},\"description\":\"Construct a json agent from an LLM and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"JsonAgent\",\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/openapi\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"CSVAgent\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".csv\"],\"file_path\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"VectorStoreAgent\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"vectorstoreinfo\":{\"type\":\"VectorStoreInfo\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"vectorstoreinfo\",\"display_name\":\"Vector Store Info\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"vectorstore_agent\"},\"description\":\"Construct an agent from a Vector Store.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"VectorStoreAgent\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"VectorStoreRouterAgent\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"vectorstoreroutertoolkit\":{\"type\":\"VectorStoreRouterToolkit\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"vectorstoreroutertoolkit\",\"display_name\":\"Vector Store Router Toolkit\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"vectorstorerouter_agent\"},\"description\":\"Construct an agent from a Vector Store Router.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"VectorStoreRouterAgent\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"SQLAgent\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"database_uri\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"database_uri\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"sql_agent\"},\"description\":\"Construct an SQL agent from an LLM and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"SQLAgent\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"AgentInitializer\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"Language Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory\":{\"type\":\"BaseChatMemory\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tools\":{\"type\":\"Tool\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"agent\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"zero-shot-react-description\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"zero-shot-react-description\",\"react-docstore\",\"self-ask-with-search\",\"conversational-react-description\",\"chat-zero-shot-react-description\",\"chat-conversational-react-description\",\"structured-chat-zero-shot-react-description\",\"openai-functions\",\"openai-multi-functions\",\"JsonAgent\",\"CSVAgent\",\"AgentInitializer\",\"VectorStoreAgent\",\"VectorStoreRouterAgent\",\"SQLAgent\"],\"name\":\"agent\",\"display_name\":\"Agent Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, List, Union\\n\\nfrom langchain.agents import AgentExecutor, AgentType, initialize_agent, types\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool\\n\\n\\nclass AgentInitializerComponent(CustomComponent):\\n    display_name: str = \\\"Agent Initializer\\\"\\n    description: str = \\\"Initialize a Langchain Agent.\\\"\\n    documentation: str = \\\"https://python.langchain.com/docs/modules/agents/agent_types/\\\"\\n\\n    def build_config(self):\\n        agents = list(types.AGENT_TO_CLASS.keys())\\n        # field_type and required are optional\\n        return {\\n            \\\"agent\\\": {\\\"options\\\": agents, \\\"value\\\": agents[0], \\\"display_name\\\": \\\"Agent Type\\\"},\\n            \\\"max_iterations\\\": {\\\"display_name\\\": \\\"Max Iterations\\\", \\\"value\\\": 10},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"Language Model\\\"},\\n        }\\n\\n    def build(\\n        self, agent: str, llm: BaseLanguageModel, memory: BaseChatMemory, tools: List[Tool], max_iterations: int\\n    ) -> Union[AgentExecutor, Callable]:\\n        agent = AgentType(agent)\\n        return initialize_agent(\\n            tools=tools,\\n            llm=llm,\\n            agent=agent,\\n            memory=memory,\\n            return_intermediate_steps=True,\\n            handle_parsing_errors=True,\\n            max_iterations=max_iterations,\\n        )\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"max_iterations\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"max_iterations\",\"display_name\":\"Max Iterations\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Initialize a Langchain Agent.\",\"base_classes\":[\"AgentExecutor\",\"Chain\",\"Callable\"],\"display_name\":\"Agent Initializer\",\"documentation\":\"https://python.langchain.com/docs/modules/agents/agent_types/\",\"custom_fields\":{\"agent\":null,\"llm\":null,\"max_iterations\":null,\"memory\":null,\"tools\":null},\"output_types\":[\"AgentInitializer\"],\"field_formatters\":{},\"beta\":true},\"OpenAIConversationalAgent\":{\"template\":{\"memory\":{\"type\":\"BaseMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"system_message\":{\"type\":\"SystemMessagePromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"system_message\",\"display_name\":\"System Message\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tools\":{\"type\":\"Tool\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import List, Optional\\n\\nfrom langchain.agents.agent import AgentExecutor\\nfrom langchain.agents.agent_toolkits.conversational_retrieval.openai_functions import _get_default_system_message\\nfrom langchain.agents.openai_functions_agent.base import OpenAIFunctionsAgent\\nfrom langchain.chat_models import ChatOpenAI\\nfrom langchain.memory.token_buffer import ConversationTokenBufferMemory\\nfrom langchain.prompts import SystemMessagePromptTemplate\\nfrom langchain.prompts.chat import MessagesPlaceholder\\nfrom langchain.schema.memory import BaseMemory\\nfrom langchain.tools import Tool\\nfrom langflow import CustomComponent\\n\\n\\nclass ConversationalAgent(CustomComponent):\\n    display_name: str = \\\"OpenAI Conversational Agent\\\"\\n    description: str = \\\"Conversational Agent that can use OpenAI's function calling API\\\"\\n\\n    def build_config(self):\\n        openai_function_models = [\\n            \\\"gpt-4-1106-preview\\\",\\n            \\\"gpt-3.5-turbo\\\",\\n            \\\"gpt-3.5-turbo-16k\\\",\\n            \\\"gpt-4\\\",\\n            \\\"gpt-4-32k\\\",\\n        ]\\n        return {\\n            \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"system_message\\\": {\\\"display_name\\\": \\\"System Message\\\"},\\n            \\\"max_token_limit\\\": {\\\"display_name\\\": \\\"Max Token Limit\\\"},\\n            \\\"model_name\\\": {\\n                \\\"display_name\\\": \\\"Model Name\\\",\\n                \\\"options\\\": openai_function_models,\\n                \\\"value\\\": openai_function_models[0],\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_name: str,\\n        openai_api_key: str,\\n        tools: List[Tool],\\n        openai_api_base: Optional[str] = None,\\n        memory: Optional[BaseMemory] = None,\\n        system_message: Optional[SystemMessagePromptTemplate] = None,\\n        max_token_limit: int = 2000,\\n    ) -> AgentExecutor:\\n        llm = ChatOpenAI(\\n            model=model_name,\\n            api_key=openai_api_key,\\n            base_url=openai_api_base,\\n        )\\n        if not memory:\\n            memory_key = \\\"chat_history\\\"\\n            memory = ConversationTokenBufferMemory(\\n                memory_key=memory_key,\\n                return_messages=True,\\n                output_key=\\\"output\\\",\\n                llm=llm,\\n                max_token_limit=max_token_limit,\\n            )\\n        else:\\n            memory_key = memory.memory_key  # type: ignore\\n\\n        _system_message = system_message or _get_default_system_message()\\n        prompt = OpenAIFunctionsAgent.create_prompt(\\n            system_message=_system_message,  # type: ignore\\n            extra_prompt_messages=[MessagesPlaceholder(variable_name=memory_key)],\\n        )\\n        agent = OpenAIFunctionsAgent(\\n            llm=llm,\\n            tools=tools,\\n            prompt=prompt,  # type: ignore\\n        )\\n        return AgentExecutor(\\n            agent=agent,\\n            tools=tools,  # type: ignore\\n            memory=memory,\\n            verbose=True,\\n            return_intermediate_steps=True,\\n            handle_parsing_errors=True,\\n        )\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"max_token_limit\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":2000,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"max_token_limit\",\"display_name\":\"Max Token Limit\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\",\"gpt-4\",\"gpt-4-32k\"],\"name\":\"model_name\",\"display_name\":\"Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"openai_api_base\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"openai_api_base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"openai_api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"openai_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Conversational Agent that can use OpenAI's function calling API\",\"base_classes\":[\"AgentExecutor\",\"Chain\"],\"display_name\":\"OpenAI Conversational Agent\",\"documentation\":\"\",\"custom_fields\":{\"max_token_limit\":null,\"memory\":null,\"model_name\":null,\"openai_api_base\":null,\"openai_api_key\":null,\"system_message\":null,\"tools\":null},\"output_types\":[\"OpenAIConversationalAgent\"],\"field_formatters\":{},\"beta\":true}},\"prompts\":{\"ChatMessagePromptTemplate\":{\"template\":{\"additional_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"additional_kwargs\",\"advanced\":true,\"dynamic\":true,\"info\":\"\"},\"prompt\":{\"type\":\"prompt\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"\\nYou are a helpful assistant that talks casually about life in general.\\nYou are a good listener and you can talk about anything.\\n\",\"fileTypes\":[],\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"role\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"role\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"_type\":\"ChatMessagePromptTemplate\"},\"description\":\"Chat message prompt template.\",\"base_classes\":[\"BaseStringMessagePromptTemplate\",\"ChatMessagePromptTemplate\",\"BaseMessagePromptTemplate\"],\"display_name\":\"ChatMessagePromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/msg_prompt_templates\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"ChatPromptTemplate\":{\"template\":{\"messages\":{\"type\":\"BaseMessagePromptTemplate\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"messages\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"output_parser\":{\"type\":\"BaseOutputParser\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"input_types\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"input_variables\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"partial_variables\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"validate_template\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"_type\":\"ChatPromptTemplate\"},\"description\":\"A prompt template for chat models.\",\"base_classes\":[\"BaseChatPromptTemplate\",\"BasePromptTemplate\",\"ChatPromptTemplate\"],\"display_name\":\"ChatPromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/how_to/prompts\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"HumanMessagePromptTemplate\":{\"template\":{\"additional_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"additional_kwargs\",\"advanced\":true,\"dynamic\":true,\"info\":\"\"},\"prompt\":{\"type\":\"prompt\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"\\nYou are a helpful assistant that talks casually about life in general.\\nYou are a good listener and you can talk about anything.\\n\",\"fileTypes\":[],\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"_type\":\"HumanMessagePromptTemplate\"},\"description\":\"Human message prompt template. This is a message sent from the user.\",\"base_classes\":[\"BaseStringMessagePromptTemplate\",\"HumanMessagePromptTemplate\",\"BaseMessagePromptTemplate\"],\"display_name\":\"HumanMessagePromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/how_to/prompts\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"PromptTemplate\":{\"template\":{\"output_parser\":{\"type\":\"BaseOutputParser\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"input_types\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"input_variables\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"partial_variables\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"template\":{\"type\":\"prompt\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"fileTypes\":[],\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"template_format\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"fileTypes\":[],\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"validate_template\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"_type\":\"PromptTemplate\"},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"BasePromptTemplate\",\"PromptTemplate\",\"StringPromptTemplate\"],\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"SystemMessagePromptTemplate\":{\"template\":{\"additional_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"additional_kwargs\",\"advanced\":true,\"dynamic\":true,\"info\":\"\"},\"prompt\":{\"type\":\"prompt\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"\\nYou are a helpful assistant that talks casually about life in general.\\nYou are a good listener and you can talk about anything.\\n\",\"fileTypes\":[],\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"_type\":\"SystemMessagePromptTemplate\"},\"description\":\"System message prompt template.\",\"base_classes\":[\"BaseStringMessagePromptTemplate\",\"SystemMessagePromptTemplate\",\"BaseMessagePromptTemplate\"],\"display_name\":\"SystemMessagePromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/how_to/prompts\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false}},\"llms\":{\"Anthropic\":{\"template\":{\"anthropic_api_key\":{\"type\":\"SecretStr\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"anthropic_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"count_tokens\":{\"type\":\"Callable[[str], int]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"count_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"AI_PROMPT\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"AI_PROMPT\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"HUMAN_PROMPT\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"HUMAN_PROMPT\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"anthropic_api_url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"anthropic_api_url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"async_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"cache\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"default_request_timeout\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"default_request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"max_tokens_to_sample\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":256,\"fileTypes\":[],\"password\":false,\"name\":\"max_tokens_to_sample\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"claude-2\",\"fileTypes\":[],\"password\":false,\"name\":\"model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"streaming\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"top_k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"top_k\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"top_p\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"Anthropic\"},\"description\":\"Anthropic large language models.\",\"base_classes\":[\"LLM\",\"BaseLanguageModel\",\"_AnthropicCommon\",\"BaseLLM\",\"Anthropic\"],\"display_name\":\"Anthropic\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"Cohere\":{\"template\":{\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"async_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"cache\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"cohere_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"cohere_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"frequency_penalty\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":0.0,\"fileTypes\":[],\"password\":false,\"name\":\"frequency_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":0,\"fileTypes\":[],\"password\":false,\"name\":\"k\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"max_retries\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"max_tokens\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":256,\"fileTypes\":[],\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"p\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":1,\"fileTypes\":[],\"password\":false,\"name\":\"p\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"presence_penalty\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":0.0,\"fileTypes\":[],\"password\":false,\"name\":\"presence_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"stop\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"stop\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"streaming\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.75,\"fileTypes\":[],\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"truncate\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"truncate\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"user_agent\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"langchain\",\"fileTypes\":[],\"password\":false,\"name\":\"user_agent\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"Cohere\"},\"description\":\"Cohere large language models.\",\"base_classes\":[\"LLM\",\"BaseLanguageModel\",\"Cohere\",\"BaseLLM\",\"BaseCohere\"],\"display_name\":\"Cohere\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/cohere\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"CTransformers\":{\"template\":{\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"cache\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"config\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{\\n  \\\"top_k\\\": 40,\\n  \\\"top_p\\\": 0.95,\\n  \\\"temperature\\\": 0.8,\\n  \\\"repetition_penalty\\\": 1.1,\\n  \\\"last_n_tokens\\\": 64,\\n  \\\"seed\\\": -1,\\n  \\\"max_new_tokens\\\": 256,\\n  \\\"stop\\\": null,\\n  \\\"stream\\\": false,\\n  \\\"reset\\\": true,\\n  \\\"batch_size\\\": 8,\\n  \\\"threads\\\": -1,\\n  \\\"context_length\\\": -1,\\n  \\\"gpu_layers\\\": 0\\n}\",\"fileTypes\":[],\"password\":false,\"name\":\"config\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"lib\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"lib\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_file\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model_file\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_type\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model_type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CTransformers\"},\"description\":\"C Transformers LLM models.\",\"base_classes\":[\"LLM\",\"BaseLanguageModel\",\"BaseLLM\",\"CTransformers\"],\"display_name\":\"CTransformers\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/ctransformers\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"HuggingFaceHub\":{\"template\":{\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"cache\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"huggingfacehub_api_token\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"huggingfacehub_api_token\",\"display_name\":\"HuggingFace Hub API Token\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"repo_id\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"gpt2\",\"fileTypes\":[],\"password\":false,\"name\":\"repo_id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"task\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"text-generation\",\"fileTypes\":[],\"password\":false,\"options\":[\"text-generation\",\"text2text-generation\",\"summarization\"],\"name\":\"task\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"HuggingFaceHub\"},\"description\":\"HuggingFaceHub  models.\",\"base_classes\":[\"LLM\",\"BaseLanguageModel\",\"HuggingFaceHub\",\"BaseLLM\"],\"display_name\":\"HuggingFaceHub\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/huggingface_hub\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"LlamaCpp\":{\"template\":{\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"grammar\":{\"type\":\"ForwardRef('str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"grammar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"cache\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"cache\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"echo\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"echo\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"f16_kv\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"password\":false,\"name\":\"f16_kv\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"grammar_path\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"grammar_path\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"last_n_tokens_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":64,\"fileTypes\":[],\"password\":false,\"name\":\"last_n_tokens_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"logits_all\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"logits_all\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"logprobs\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"logprobs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"lora_base\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"lora_base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"lora_path\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"lora_path\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"max_tokens\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":256,\"fileTypes\":[],\"password\":true,\"name\":\"max_tokens\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"model_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"model_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"n_batch\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":8,\"fileTypes\":[],\"password\":false,\"name\":\"n_batch\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"n_ctx\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":512,\"fileTypes\":[],\"password\":false,\"name\":\"n_ctx\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"n_gpu_layers\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"n_gpu_layers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"n_parts\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":-1,\"fileTypes\":[],\"password\":false,\"name\":\"n_parts\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"n_threads\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"n_threads\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"repeat_penalty\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1.1,\"fileTypes\":[],\"password\":false,\"name\":\"repeat_penalty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"rope_freq_base\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":10000.0,\"fileTypes\":[],\"password\":false,\"name\":\"rope_freq_base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"rope_freq_scale\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1.0,\"fileTypes\":[],\"password\":false,\"name\":\"rope_freq_scale\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"seed\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":-1,\"fileTypes\":[],\"password\":false,\"name\":\"seed\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"stop\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":[],\"fileTypes\":[],\"password\":false,\"name\":\"stop\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"streaming\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"password\":false,\"name\":\"streaming\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"suffix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"fileTypes\":[],\"password\":false,\"name\":\"suffix\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.8,\"fileTypes\":[],\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"top_k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":40,\"fileTypes\":[],\"password\":false,\"name\":\"top_k\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.95,\"fileTypes\":[],\"password\":false,\"name\":\"top_p\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"use_mlock\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"use_mlock\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"use_mmap\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"password\":false,\"name\":\"use_mmap\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"vocab_only\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"vocab_only\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"LlamaCpp\"},\"description\":\"llama.cpp model.\",\"base_classes\":[\"LLM\",\"BaseLanguageModel\",\"LlamaCpp\",\"BaseLLM\"],\"display_name\":\"LlamaCpp\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/llamacpp\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"OpenAI\":{\"template\":{\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"allowed_special\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"value\":[],\"fileTypes\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"async_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"batch_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":20,\"fileTypes\":[],\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"best_of\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":1,\"fileTypes\":[],\"password\":false,\"name\":\"best_of\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"cache\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"default_headers\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"default_query\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"disallowed_special\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"all\",\"fileTypes\":[],\"password\":false,\"name\":\"disallowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"frequency_penalty\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":0,\"fileTypes\":[],\"password\":false,\"name\":\"frequency_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"http_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"logit_bias\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"logit_bias\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"max_retries\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":2,\"fileTypes\":[],\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"max_tokens\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":256,\"fileTypes\":[],\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"text-davinci-003\",\"fileTypes\":[],\"password\":false,\"options\":[\"text-davinci-003\",\"text-davinci-002\",\"text-curie-001\",\"text-babbage-001\",\"text-ada-001\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"n\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":1,\"fileTypes\":[],\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"openai_api_base\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\"},\"openai_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"openai_organization\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"openai_proxy\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"presence_penalty\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":0,\"fileTypes\":[],\"password\":false,\"name\":\"presence_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"request_timeout\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"streaming\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.7,\"fileTypes\":[],\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"tiktoken_model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":1,\"fileTypes\":[],\"password\":false,\"name\":\"top_p\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"OpenAI\"},\"description\":\"OpenAI large language models.\",\"base_classes\":[\"BaseLanguageModel\",\"OpenAI\",\"BaseOpenAI\",\"BaseLLM\"],\"display_name\":\"OpenAI\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"VertexAI\":{\"template\":{\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"ForwardRef(\\\"'_LanguageModel'\\\")\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client_preview\":{\"type\":\"ForwardRef(\\\"'_LanguageModel'\\\")\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client_preview\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"credentials\":{\"type\":\"file\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".json\"],\"file_path\":\"\",\"password\":false,\"name\":\"credentials\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"cache\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"location\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"us-central1\",\"fileTypes\":[],\"password\":false,\"name\":\"location\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"max_output_tokens\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":128,\"fileTypes\":[],\"password\":false,\"name\":\"max_output_tokens\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"max_retries\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":6,\"fileTypes\":[],\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"text-bison\",\"fileTypes\":[],\"password\":false,\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"n\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1,\"fileTypes\":[],\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"project\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"project\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"request_parallelism\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":5,\"fileTypes\":[],\"password\":false,\"name\":\"request_parallelism\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"stop\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"stop\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"streaming\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.0,\"fileTypes\":[],\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"top_k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":40,\"fileTypes\":[],\"password\":false,\"name\":\"top_k\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.95,\"fileTypes\":[],\"password\":false,\"name\":\"top_p\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"tuned_model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tuned_model_name\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"VertexAI\"},\"description\":\"Google Vertex AI large language models.\",\"base_classes\":[\"BaseLanguageModel\",\"_VertexAIBase\",\"_VertexAICommon\",\"BaseLLM\",\"VertexAI\"],\"display_name\":\"VertexAI\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/google_vertex_ai_palm\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"ChatAnthropic\":{\"template\":{\"anthropic_api_key\":{\"type\":\"SecretStr\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"anthropic_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"count_tokens\":{\"type\":\"Callable[[str], int]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"count_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"AI_PROMPT\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"AI_PROMPT\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"HUMAN_PROMPT\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"HUMAN_PROMPT\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"anthropic_api_url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"anthropic_api_url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"async_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"cache\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"default_request_timeout\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"default_request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"max_tokens_to_sample\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":256,\"fileTypes\":[],\"password\":false,\"name\":\"max_tokens_to_sample\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"claude-2\",\"fileTypes\":[],\"password\":false,\"name\":\"model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"streaming\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"top_k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"top_k\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"top_p\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ChatAnthropic\"},\"description\":\"`Anthropic` chat large language models.\",\"base_classes\":[\"_AnthropicCommon\",\"BaseLanguageModel\",\"BaseChatModel\",\"ChatAnthropic\",\"BaseLLM\"],\"display_name\":\"ChatAnthropic\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/anthropic\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"ChatOpenAI\":{\"template\":{\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"async_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"cache\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"default_headers\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"default_query\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"http_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"max_retries\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":2,\"fileTypes\":[],\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"max_tokens\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"fileTypes\":[],\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4-vision-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"n\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":1,\"fileTypes\":[],\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"openai_api_base\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\"},\"openai_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"openai_organization\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"openai_proxy\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"request_timeout\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"streaming\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.7,\"fileTypes\":[],\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"tiktoken_model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"BaseChatModel\",\"ChatOpenAI\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"ChatVertexAI\":{\"template\":{\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"ForwardRef(\\\"'_LanguageModel'\\\")\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client_preview\":{\"type\":\"ForwardRef(\\\"'_LanguageModel'\\\")\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client_preview\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"credentials\":{\"type\":\"file\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".json\"],\"file_path\":\"\",\"password\":false,\"name\":\"credentials\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"examples\":{\"type\":\"BaseMessage\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":true,\"fileTypes\":[],\"password\":false,\"name\":\"examples\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"cache\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"location\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"us-central1\",\"fileTypes\":[],\"password\":false,\"name\":\"location\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"max_output_tokens\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":128,\"fileTypes\":[],\"password\":false,\"name\":\"max_output_tokens\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"max_retries\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":6,\"fileTypes\":[],\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"chat-bison\",\"fileTypes\":[],\"password\":false,\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"n\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":1,\"fileTypes\":[],\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"project\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"project\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"request_parallelism\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":5,\"fileTypes\":[],\"password\":false,\"name\":\"request_parallelism\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"stop\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"stop\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"streaming\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.0,\"fileTypes\":[],\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"top_k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":40,\"fileTypes\":[],\"password\":false,\"name\":\"top_k\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.95,\"fileTypes\":[],\"password\":false,\"name\":\"top_p\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ChatVertexAI\"},\"description\":\"`Vertex AI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"BaseChatModel\",\"_VertexAIBase\",\"_VertexAICommon\",\"ChatVertexAI\",\"BaseLLM\"],\"display_name\":\"ChatVertexAI\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/google_vertex_ai_palm\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"AmazonBedrock\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.llms.bedrock import Bedrock\\nfrom langchain.llms.base import BaseLLM\\n\\n\\nclass AmazonBedrockComponent(CustomComponent):\\n    display_name: str = \\\"Amazon Bedrock\\\"\\n    description: str = \\\"LLM model from Amazon Bedrock.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\n                    \\\"ai21.j2-grande-instruct\\\",\\n                    \\\"ai21.j2-jumbo-instruct\\\",\\n                    \\\"ai21.j2-mid\\\",\\n                    \\\"ai21.j2-mid-v1\\\",\\n                    \\\"ai21.j2-ultra\\\",\\n                    \\\"ai21.j2-ultra-v1\\\",\\n                    \\\"anthropic.claude-instant-v1\\\",\\n                    \\\"anthropic.claude-v1\\\",\\n                    \\\"anthropic.claude-v2\\\",\\n                    \\\"cohere.command-text-v14\\\",\\n                ],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"streaming\\\": {\\\"display_name\\\": \\\"Streaming\\\", \\\"field_type\\\": \\\"bool\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"anthropic.claude-instant-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n    ) -> BaseLLM:\\n        try:\\n            output = Bedrock(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"credentials_profile_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"anthropic.claude-instant-v1\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"ai21.j2-grande-instruct\",\"ai21.j2-jumbo-instruct\",\"ai21.j2-mid\",\"ai21.j2-mid-v1\",\"ai21.j2-ultra\",\"ai21.j2-ultra-v1\",\"anthropic.claude-instant-v1\",\"anthropic.claude-v1\",\"anthropic.claude-v2\",\"cohere.command-text-v14\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"LLM model from Amazon Bedrock.\",\"base_classes\":[\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"Amazon Bedrock\",\"documentation\":\"\",\"custom_fields\":{\"credentials_profile_name\":null,\"model_id\":null},\"output_types\":[\"AmazonBedrock\"],\"field_formatters\":{},\"beta\":true},\"AnthropicLLM\":{\"template\":{\"anthropic_api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"anthropic_api_key\",\"display_name\":\"Anthropic API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"Your Anthropic API key.\"},\"api_endpoint\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_endpoint\",\"display_name\":\"API Endpoint\",\"advanced\":false,\"dynamic\":false,\"info\":\"Endpoint of the Anthropic API. Defaults to 'https://api.anthropic.com' if not specified.\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.chat_models.anthropic import ChatAnthropic\\nfrom langchain.llms.base import BaseLanguageModel\\nfrom pydantic.v1 import SecretStr\\n\\nfrom langflow import CustomComponent\\n\\n\\nclass AnthropicLLM(CustomComponent):\\n    display_name: str = \\\"AnthropicLLM\\\"\\n    description: str = \\\"Anthropic Chat&Completion large language models.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"model\\\": {\\n                \\\"display_name\\\": \\\"Model Name\\\",\\n                \\\"options\\\": [\\n                    \\\"claude-2.1\\\",\\n                    \\\"claude-2.0\\\",\\n                    \\\"claude-instant-1.2\\\",\\n                    \\\"claude-instant-1\\\",\\n                    # Add more models as needed\\n                ],\\n                \\\"info\\\": \\\"https://python.langchain.com/docs/integrations/chat/anthropic\\\",\\n                \\\"required\\\": True,\\n                \\\"value\\\": \\\"claude-2.1\\\",\\n            },\\n            \\\"anthropic_api_key\\\": {\\n                \\\"display_name\\\": \\\"Anthropic API Key\\\",\\n                \\\"required\\\": True,\\n                \\\"password\\\": True,\\n                \\\"info\\\": \\\"Your Anthropic API key.\\\",\\n            },\\n            \\\"max_tokens\\\": {\\n                \\\"display_name\\\": \\\"Max Tokens\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 256,\\n            },\\n            \\\"temperature\\\": {\\n                \\\"display_name\\\": \\\"Temperature\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"value\\\": 0.7,\\n            },\\n            \\\"api_endpoint\\\": {\\n                \\\"display_name\\\": \\\"API Endpoint\\\",\\n                \\\"info\\\": \\\"Endpoint of the Anthropic API. Defaults to 'https://api.anthropic.com' if not specified.\\\",\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model: str,\\n        anthropic_api_key: Optional[str] = None,\\n        max_tokens: Optional[int] = None,\\n        temperature: Optional[float] = None,\\n        api_endpoint: Optional[str] = None,\\n    ) -> BaseLanguageModel:\\n        # Set default API endpoint if not provided\\n        if not api_endpoint:\\n            api_endpoint = \\\"https://api.anthropic.com\\\"\\n\\n        try:\\n            output = ChatAnthropic(\\n                model_name=model,\\n                anthropic_api_key=SecretStr(anthropic_api_key) if anthropic_api_key else None,\\n                max_tokens_to_sample=max_tokens,  # type: ignore\\n                temperature=temperature,\\n                anthropic_api_url=api_endpoint,\\n            )\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to Anthropic API.\\\") from e\\n        return output\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"max_tokens\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":256,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"max_tokens\",\"display_name\":\"Max Tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"claude-2.1\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"claude-2.1\",\"claude-2.0\",\"claude-instant-1.2\",\"claude-instant-1\"],\"name\":\"model\",\"display_name\":\"Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"https://python.langchain.com/docs/integrations/chat/anthropic\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.7,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"_type\":\"CustomComponent\"},\"description\":\"Anthropic Chat&Completion large language models.\",\"base_classes\":[\"BaseLanguageModel\"],\"display_name\":\"AnthropicLLM\",\"documentation\":\"\",\"custom_fields\":{\"anthropic_api_key\":null,\"api_endpoint\":null,\"max_tokens\":null,\"model\":null,\"temperature\":null},\"output_types\":[\"AnthropicLLM\"],\"field_formatters\":{},\"beta\":true},\"HuggingFaceEndpoints\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.llms.huggingface_endpoint import HuggingFaceEndpoint\\nfrom langchain.llms.base import BaseLLM\\n\\n\\nclass HuggingFaceEndpointsComponent(CustomComponent):\\n    display_name: str = \\\"Hugging Face Inference API\\\"\\n    description: str = \\\"LLM model from Hugging Face Inference API.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Endpoint URL\\\", \\\"password\\\": True},\\n            \\\"task\\\": {\\n                \\\"display_name\\\": \\\"Task\\\",\\n                \\\"options\\\": [\\\"text2text-generation\\\", \\\"text-generation\\\", \\\"summarization\\\"],\\n            },\\n            \\\"huggingfacehub_api_token\\\": {\\\"display_name\\\": \\\"API token\\\", \\\"password\\\": True},\\n            \\\"model_kwargs\\\": {\\n                \\\"display_name\\\": \\\"Model Keyword Arguments\\\",\\n                \\\"field_type\\\": \\\"code\\\",\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        endpoint_url: str,\\n        task: str = \\\"text2text-generation\\\",\\n        huggingfacehub_api_token: Optional[str] = None,\\n        model_kwargs: Optional[dict] = None,\\n    ) -> BaseLLM:\\n        try:\\n            output = HuggingFaceEndpoint(\\n                endpoint_url=endpoint_url,\\n                task=task,\\n                huggingfacehub_api_token=huggingfacehub_api_token,\\n                model_kwargs=model_kwargs,\\n            )\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to HuggingFace Endpoints API.\\\") from e\\n        return output\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"endpoint_url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"endpoint_url\",\"display_name\":\"Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"huggingfacehub_api_token\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"huggingfacehub_api_token\",\"display_name\":\"API token\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_kwargs\":{\"type\":\"code\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"model_kwargs\",\"display_name\":\"Model Keyword Arguments\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"task\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"text2text-generation\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"text2text-generation\",\"text-generation\",\"summarization\"],\"name\":\"task\",\"display_name\":\"Task\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"LLM model from Hugging Face Inference API.\",\"base_classes\":[\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"Hugging Face Inference API\",\"documentation\":\"\",\"custom_fields\":{\"endpoint_url\":null,\"huggingfacehub_api_token\":null,\"model_kwargs\":null,\"task\":null},\"output_types\":[\"HuggingFaceEndpoints\"],\"field_formatters\":{},\"beta\":true},\"BaiduQianfanChatEndpoints\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.chat_models.baidu_qianfan_endpoint import QianfanChatEndpoint\\nfrom langchain.llms.base import BaseLLM\\nfrom pydantic.v1 import SecretStr\\n\\nfrom langflow import CustomComponent\\n\\n\\nclass QianfanChatEndpointComponent(CustomComponent):\\n    display_name: str = \\\"QianfanChatEndpoint\\\"\\n    description: str = (\\n        \\\"Baidu Qianfan chat models. Get more detail from \\\"\\n        \\\"https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint.\\\"\\n    )\\n\\n    def build_config(self):\\n        return {\\n            \\\"model\\\": {\\n                \\\"display_name\\\": \\\"Model Name\\\",\\n                \\\"options\\\": [\\n                    \\\"ERNIE-Bot\\\",\\n                    \\\"ERNIE-Bot-turbo\\\",\\n                    \\\"BLOOMZ-7B\\\",\\n                    \\\"Llama-2-7b-chat\\\",\\n                    \\\"Llama-2-13b-chat\\\",\\n                    \\\"Llama-2-70b-chat\\\",\\n                    \\\"Qianfan-BLOOMZ-7B-compressed\\\",\\n                    \\\"Qianfan-Chinese-Llama-2-7B\\\",\\n                    \\\"ChatGLM2-6B-32K\\\",\\n                    \\\"AquilaChat-7B\\\",\\n                ],\\n                \\\"info\\\": \\\"https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\\\",\\n                \\\"required\\\": True,\\n            },\\n            \\\"qianfan_ak\\\": {\\n                \\\"display_name\\\": \\\"Qianfan Ak\\\",\\n                \\\"required\\\": True,\\n                \\\"password\\\": True,\\n                \\\"info\\\": \\\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\\\",\\n            },\\n            \\\"qianfan_sk\\\": {\\n                \\\"display_name\\\": \\\"Qianfan Sk\\\",\\n                \\\"required\\\": True,\\n                \\\"password\\\": True,\\n                \\\"info\\\": \\\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\\\",\\n            },\\n            \\\"top_p\\\": {\\n                \\\"display_name\\\": \\\"Top p\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n                \\\"value\\\": 0.8,\\n            },\\n            \\\"temperature\\\": {\\n                \\\"display_name\\\": \\\"Temperature\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n                \\\"value\\\": 0.95,\\n            },\\n            \\\"penalty_score\\\": {\\n                \\\"display_name\\\": \\\"Penalty Score\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n                \\\"value\\\": 1.0,\\n            },\\n            \\\"endpoint\\\": {\\n                \\\"display_name\\\": \\\"Endpoint\\\",\\n                \\\"info\\\": \\\"Endpoint of the Qianfan LLM, required if custom model used.\\\",\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model: str = \\\"ERNIE-Bot-turbo\\\",\\n        qianfan_ak: Optional[str] = None,\\n        qianfan_sk: Optional[str] = None,\\n        top_p: Optional[float] = None,\\n        temperature: Optional[float] = None,\\n        penalty_score: Optional[float] = None,\\n        endpoint: Optional[str] = None,\\n    ) -> BaseLLM:\\n        try:\\n            output = QianfanChatEndpoint(  # type: ignore\\n                model=model,\\n                qianfan_ak=SecretStr(qianfan_ak) if qianfan_ak else None,\\n                qianfan_sk=SecretStr(qianfan_sk) if qianfan_sk else None,\\n                top_p=top_p,\\n                temperature=temperature,\\n                penalty_score=penalty_score,\\n                endpoint=endpoint,\\n            )\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to Baidu Qianfan API.\\\") from e\\n        return output  # type: ignore\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"endpoint\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"endpoint\",\"display_name\":\"Endpoint\",\"advanced\":false,\"dynamic\":false,\"info\":\"Endpoint of the Qianfan LLM, required if custom model used.\"},\"model\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"ERNIE-Bot-turbo\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"ERNIE-Bot\",\"ERNIE-Bot-turbo\",\"BLOOMZ-7B\",\"Llama-2-7b-chat\",\"Llama-2-13b-chat\",\"Llama-2-70b-chat\",\"Qianfan-BLOOMZ-7B-compressed\",\"Qianfan-Chinese-Llama-2-7B\",\"ChatGLM2-6B-32K\",\"AquilaChat-7B\"],\"name\":\"model\",\"display_name\":\"Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\"},\"penalty_score\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":1.0,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"penalty_score\",\"display_name\":\"Penalty Score\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"qianfan_ak\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"qianfan_ak\",\"display_name\":\"Qianfan Ak\",\"advanced\":false,\"dynamic\":false,\"info\":\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\"},\"qianfan_sk\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"qianfan_sk\",\"display_name\":\"Qianfan Sk\",\"advanced\":false,\"dynamic\":false,\"info\":\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.95,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":0.8,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_p\",\"display_name\":\"Top p\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"_type\":\"CustomComponent\"},\"description\":\"Baidu Qianfan chat models. Get more detail from https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint.\",\"base_classes\":[\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"QianfanChatEndpoint\",\"documentation\":\"\",\"custom_fields\":{\"endpoint\":null,\"model\":null,\"penalty_score\":null,\"qianfan_ak\":null,\"qianfan_sk\":null,\"temperature\":null,\"top_p\":null},\"output_types\":[\"BaiduQianfanChatEndpoints\"],\"field_formatters\":{},\"beta\":true},\"BaiduQianfanLLMEndpoints\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.llms.baidu_qianfan_endpoint import QianfanLLMEndpoint\\nfrom langchain.llms.base import BaseLLM\\n\\n\\nclass QianfanLLMEndpointComponent(CustomComponent):\\n    display_name: str = \\\"QianfanLLMEndpoint\\\"\\n    description: str = (\\n        \\\"Baidu Qianfan hosted open source or customized models. \\\"\\n        \\\"Get more detail from https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\\\"\\n    )\\n\\n    def build_config(self):\\n        return {\\n            \\\"model\\\": {\\n                \\\"display_name\\\": \\\"Model Name\\\",\\n                \\\"options\\\": [\\n                    \\\"ERNIE-Bot\\\",\\n                    \\\"ERNIE-Bot-turbo\\\",\\n                    \\\"BLOOMZ-7B\\\",\\n                    \\\"Llama-2-7b-chat\\\",\\n                    \\\"Llama-2-13b-chat\\\",\\n                    \\\"Llama-2-70b-chat\\\",\\n                    \\\"Qianfan-BLOOMZ-7B-compressed\\\",\\n                    \\\"Qianfan-Chinese-Llama-2-7B\\\",\\n                    \\\"ChatGLM2-6B-32K\\\",\\n                    \\\"AquilaChat-7B\\\",\\n                ],\\n                \\\"info\\\": \\\"https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\\\",\\n                \\\"required\\\": True,\\n            },\\n            \\\"qianfan_ak\\\": {\\n                \\\"display_name\\\": \\\"Qianfan Ak\\\",\\n                \\\"required\\\": True,\\n                \\\"password\\\": True,\\n                \\\"info\\\": \\\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\\\",\\n            },\\n            \\\"qianfan_sk\\\": {\\n                \\\"display_name\\\": \\\"Qianfan Sk\\\",\\n                \\\"required\\\": True,\\n                \\\"password\\\": True,\\n                \\\"info\\\": \\\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\\\",\\n            },\\n            \\\"top_p\\\": {\\n                \\\"display_name\\\": \\\"Top p\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n                \\\"value\\\": 0.8,\\n            },\\n            \\\"temperature\\\": {\\n                \\\"display_name\\\": \\\"Temperature\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n                \\\"value\\\": 0.95,\\n            },\\n            \\\"penalty_score\\\": {\\n                \\\"display_name\\\": \\\"Penalty Score\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n                \\\"value\\\": 1.0,\\n            },\\n            \\\"endpoint\\\": {\\n                \\\"display_name\\\": \\\"Endpoint\\\",\\n                \\\"info\\\": \\\"Endpoint of the Qianfan LLM, required if custom model used.\\\",\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model: str = \\\"ERNIE-Bot-turbo\\\",\\n        qianfan_ak: Optional[str] = None,\\n        qianfan_sk: Optional[str] = None,\\n        top_p: Optional[float] = None,\\n        temperature: Optional[float] = None,\\n        penalty_score: Optional[float] = None,\\n        endpoint: Optional[str] = None,\\n    ) -> BaseLLM:\\n        try:\\n            output = QianfanLLMEndpoint(  # type: ignore\\n                model=model,\\n                qianfan_ak=qianfan_ak,\\n                qianfan_sk=qianfan_sk,\\n                top_p=top_p,\\n                temperature=temperature,\\n                penalty_score=penalty_score,\\n                endpoint=endpoint,\\n            )\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to Baidu Qianfan API.\\\") from e\\n        return output  # type: ignore\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"endpoint\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"endpoint\",\"display_name\":\"Endpoint\",\"advanced\":false,\"dynamic\":false,\"info\":\"Endpoint of the Qianfan LLM, required if custom model used.\"},\"model\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"ERNIE-Bot-turbo\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"ERNIE-Bot\",\"ERNIE-Bot-turbo\",\"BLOOMZ-7B\",\"Llama-2-7b-chat\",\"Llama-2-13b-chat\",\"Llama-2-70b-chat\",\"Qianfan-BLOOMZ-7B-compressed\",\"Qianfan-Chinese-Llama-2-7B\",\"ChatGLM2-6B-32K\",\"AquilaChat-7B\"],\"name\":\"model\",\"display_name\":\"Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\"},\"penalty_score\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":1.0,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"penalty_score\",\"display_name\":\"Penalty Score\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"qianfan_ak\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"qianfan_ak\",\"display_name\":\"Qianfan Ak\",\"advanced\":false,\"dynamic\":false,\"info\":\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\"},\"qianfan_sk\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"qianfan_sk\",\"display_name\":\"Qianfan Sk\",\"advanced\":false,\"dynamic\":false,\"info\":\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.95,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":0.8,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_p\",\"display_name\":\"Top p\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"_type\":\"CustomComponent\"},\"description\":\"Baidu Qianfan hosted open source or customized models. Get more detail from https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\",\"base_classes\":[\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"QianfanLLMEndpoint\",\"documentation\":\"\",\"custom_fields\":{\"endpoint\":null,\"model\":null,\"penalty_score\":null,\"qianfan_ak\":null,\"qianfan_sk\":null,\"temperature\":null,\"top_p\":null},\"output_types\":[\"BaiduQianfanLLMEndpoints\"],\"field_formatters\":{},\"beta\":true}},\"memories\":{\"ConversationBufferMemory\":{\"template\":{\"chat_memory\":{\"type\":\"BaseChatMessageHistory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"ai_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"AI\",\"fileTypes\":[],\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"human_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"Human\",\"fileTypes\":[],\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\"},\"memory_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"fileTypes\":[],\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"output_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\"},\"return_messages\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ConversationBufferMemory\"},\"description\":\"Buffer for storing conversation memory.\",\"base_classes\":[\"BaseChatMemory\",\"BaseMemory\",\"ConversationBufferMemory\"],\"display_name\":\"ConversationBufferMemory\",\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/buffer\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"ConversationBufferWindowMemory\":{\"template\":{\"chat_memory\":{\"type\":\"BaseChatMessageHistory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"ai_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"AI\",\"fileTypes\":[],\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"human_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"Human\",\"fileTypes\":[],\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\"},\"k\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"password\":false,\"name\":\"k\",\"display_name\":\"Memory Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"fileTypes\":[],\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"output_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\"},\"return_messages\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ConversationBufferWindowMemory\"},\"description\":\"Buffer for storing conversation memory inside a limited size window.\",\"base_classes\":[\"BaseChatMemory\",\"ConversationBufferWindowMemory\",\"BaseMemory\"],\"display_name\":\"ConversationBufferWindowMemory\",\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/buffer_window\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"ConversationEntityMemory\":{\"template\":{\"chat_memory\":{\"type\":\"BaseChatMessageHistory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"entity_extraction_prompt\":{\"type\":\"BasePromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"entity_extraction_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"entity_store\":{\"type\":\"BaseEntityStore\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"entity_store\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"entity_summarization_prompt\":{\"type\":\"BasePromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"entity_summarization_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"ai_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"AI\",\"fileTypes\":[],\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"chat_history_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"history\",\"fileTypes\":[],\"password\":false,\"name\":\"chat_history_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"entity_cache\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"entity_cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"human_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"Human\",\"fileTypes\":[],\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\"},\"k\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"password\":false,\"name\":\"k\",\"display_name\":\"Memory Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"output_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\"},\"return_messages\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ConversationEntityMemory\"},\"description\":\"Entity extractor & summarizer memory.\",\"base_classes\":[\"BaseChatMemory\",\"BaseMemory\",\"ConversationEntityMemory\"],\"display_name\":\"ConversationEntityMemory\",\"documentation\":\"https://python.langchain.com/docs/modules/memory/integrations/entity_memory_with_sqlite\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"ConversationKGMemory\":{\"template\":{\"chat_memory\":{\"type\":\"BaseChatMessageHistory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"entity_extraction_prompt\":{\"type\":\"BasePromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"entity_extraction_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"kg\":{\"type\":\"NetworkxEntityGraph\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"kg\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"knowledge_extraction_prompt\":{\"type\":\"BasePromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"knowledge_extraction_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"summary_message_cls\":{\"type\":\"Type[langchain_core.messages.base.BaseMessage]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"summary_message_cls\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"ai_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"AI\",\"fileTypes\":[],\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"human_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"Human\",\"fileTypes\":[],\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\"},\"k\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"password\":false,\"name\":\"k\",\"display_name\":\"Memory Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"fileTypes\":[],\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"output_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\"},\"return_messages\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ConversationKGMemory\"},\"description\":\"Knowledge graph conversation memory.\",\"base_classes\":[\"BaseChatMemory\",\"ConversationKGMemory\",\"BaseMemory\"],\"display_name\":\"ConversationKGMemory\",\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/kg\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"ConversationSummaryMemory\":{\"template\":{\"chat_memory\":{\"type\":\"BaseChatMessageHistory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"prompt\":{\"type\":\"BasePromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"summary_message_cls\":{\"type\":\"Type[langchain_core.messages.base.BaseMessage]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"summary_message_cls\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"ai_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"AI\",\"fileTypes\":[],\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"buffer\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"password\":false,\"name\":\"buffer\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"human_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"Human\",\"fileTypes\":[],\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\"},\"memory_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"fileTypes\":[],\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"output_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\"},\"return_messages\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ConversationSummaryMemory\"},\"description\":\"Conversation summarizer to chat memory.\",\"base_classes\":[\"BaseChatMemory\",\"ConversationSummaryMemory\",\"BaseMemory\",\"SummarizerMixin\"],\"display_name\":\"ConversationSummaryMemory\",\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/summary\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"MongoDBChatMessageHistory\":{\"template\":{\"collection_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"message_store\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"collection_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"connection_string\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"connection_string\",\"advanced\":false,\"dynamic\":false,\"info\":\"MongoDB connection string (e.g mongodb://mongo_user:password123@mongo:27017)\"},\"database_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"database_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"session_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"session_id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"MongoDBChatMessageHistory\"},\"description\":\"Memory store with MongoDB\",\"base_classes\":[\"MongoDBChatMessageHistory\",\"BaseChatMessageHistory\"],\"display_name\":\"MongoDBChatMessageHistory\",\"documentation\":\"https://python.langchain.com/docs/modules/memory/integrations/mongodb_chat_message_history\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"MotorheadMemory\":{\"template\":{\"chat_memory\":{\"type\":\"BaseChatMessageHistory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client_id\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client_id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"context\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"context\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\"},\"memory_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"fileTypes\":[],\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"output_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\"},\"return_messages\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"session_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"session_id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"timeout\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"https://api.getmetal.io/v1/motorhead\",\"fileTypes\":[],\"password\":false,\"name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"MotorheadMemory\"},\"description\":\"Chat message memory backed by Motorhead service.\",\"base_classes\":[\"BaseChatMemory\",\"MotorheadMemory\",\"BaseMemory\"],\"display_name\":\"MotorheadMemory\",\"documentation\":\"https://python.langchain.com/docs/integrations/memory/motorhead_memory\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"PostgresChatMessageHistory\":{\"template\":{\"connection_string\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"postgresql://postgres:mypassword@localhost/chat_history\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"connection_string\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"session_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"session_id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"table_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"message_store\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"table_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"PostgresChatMessageHistory\"},\"description\":\"Memory store with Postgres\",\"base_classes\":[\"PostgresChatMessageHistory\",\"BaseChatMessageHistory\"],\"display_name\":\"PostgresChatMessageHistory\",\"documentation\":\"https://python.langchain.com/docs/modules/memory/integrations/postgres_chat_message_history\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"VectorStoreRetrieverMemory\":{\"template\":{\"retriever\":{\"type\":\"VectorStoreRetriever\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"exclude_input_keys\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"exclude_input_keys\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\"},\"memory_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"fileTypes\":[],\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"return_docs\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"return_docs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"return_messages\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"VectorStoreRetrieverMemory\"},\"description\":\"VectorStoreRetriever-backed memory.\",\"base_classes\":[\"BaseMemory\",\"VectorStoreRetrieverMemory\"],\"display_name\":\"VectorStoreRetrieverMemory\",\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/vectorstore_retriever_memory\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false}},\"tools\":{\"Calculator\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"Calculator\"},\"description\":\"Useful for when you need to answer questions about math.\",\"base_classes\":[\"Tool\",\"BaseTool\"],\"display_name\":\"Calculator\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"Search\":{\"template\":{\"aiosession\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"aiosession\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"serpapi_api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"serpapi_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"Search\"},\"description\":\"A search engine. Useful for when you need to answer questions about current events. Input should be a search query.\",\"base_classes\":[\"Tool\",\"BaseTool\"],\"display_name\":\"Search\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"Tool\":{\"template\":{\"func\":{\"type\":\"Callable\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"func\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"description\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"description\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"return_direct\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_direct\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"Tool\"},\"description\":\"Converts a chain, agent or function into a tool.\",\"base_classes\":[\"Tool\",\"BaseTool\"],\"display_name\":\"Tool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"PythonFunctionTool\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"\\ndef python_function(text: str) -> str:\\n    \\\"\\\"\\\"This is a default python function that returns the input text\\\"\\\"\\\"\\n    return text\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"description\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"description\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"return_direct\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_direct\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"PythonFunctionTool\"},\"description\":\"Python function to be executed.\",\"base_classes\":[\"BaseTool\",\"Tool\"],\"display_name\":\"PythonFunctionTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"PythonFunction\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"\\ndef python_function(text: str) -> str:\\n    \\\"\\\"\\\"This is a default python function that returns the input text\\\"\\\"\\\"\\n    return text\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"PythonFunction\"},\"description\":\"Python function to be executed.\",\"base_classes\":[\"Callable\"],\"display_name\":\"PythonFunction\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"JsonSpec\":{\"template\":{\"path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".json\",\".yaml\",\".yml\"],\"file_path\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"max_value_length\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"max_value_length\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"JsonSpec\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"JsonSpec\"],\"display_name\":\"JsonSpec\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"BingSearchRun\":{\"template\":{\"api_wrapper\":{\"type\":\"BingSearchAPIWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"BingSearchRun\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"BaseTool\",\"BingSearchRun\"],\"display_name\":\"BingSearchRun\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"GoogleSearchResults\":{\"template\":{\"api_wrapper\":{\"type\":\"GoogleSearchAPIWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"num_results\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":4,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"num_results\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"GoogleSearchResults\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"GoogleSearchResults\",\"BaseTool\"],\"display_name\":\"GoogleSearchResults\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"GoogleSearchRun\":{\"template\":{\"api_wrapper\":{\"type\":\"GoogleSearchAPIWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"GoogleSearchRun\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"BaseTool\",\"GoogleSearchRun\"],\"display_name\":\"GoogleSearchRun\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"GoogleSerperRun\":{\"template\":{\"api_wrapper\":{\"type\":\"GoogleSerperAPIWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"GoogleSerperRun\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"BaseTool\",\"GoogleSerperRun\"],\"display_name\":\"GoogleSerperRun\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"InfoSQLDatabaseTool\":{\"template\":{\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"db\":{\"type\":\"SQLDatabase\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"db\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"InfoSQLDatabaseTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"BaseSQLDatabaseTool\",\"BaseTool\",\"InfoSQLDatabaseTool\"],\"display_name\":\"InfoSQLDatabaseTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"JsonGetValueTool\":{\"template\":{\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"spec\":{\"type\":\"JsonSpec\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"spec\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"JsonGetValueTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"BaseTool\",\"JsonGetValueTool\"],\"display_name\":\"JsonGetValueTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"JsonListKeysTool\":{\"template\":{\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"spec\":{\"type\":\"JsonSpec\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"spec\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"JsonListKeysTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"JsonListKeysTool\",\"BaseTool\"],\"display_name\":\"JsonListKeysTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"ListSQLDatabaseTool\":{\"template\":{\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"db\":{\"type\":\"SQLDatabase\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"db\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ListSQLDatabaseTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"BaseSQLDatabaseTool\",\"ListSQLDatabaseTool\",\"BaseTool\"],\"display_name\":\"ListSQLDatabaseTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"QuerySQLDataBaseTool\":{\"template\":{\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"db\":{\"type\":\"SQLDatabase\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"db\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"QuerySQLDataBaseTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"BaseSQLDatabaseTool\",\"BaseTool\",\"QuerySQLDataBaseTool\"],\"display_name\":\"QuerySQLDataBaseTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"RequestsDeleteTool\":{\"template\":{\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"requests_wrapper\":{\"type\":\"TextRequestsWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"requests_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"RequestsDeleteTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"RequestsDeleteTool\",\"BaseRequestsTool\",\"BaseTool\"],\"display_name\":\"RequestsDeleteTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"RequestsGetTool\":{\"template\":{\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"requests_wrapper\":{\"type\":\"TextRequestsWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"requests_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"RequestsGetTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"RequestsGetTool\",\"BaseRequestsTool\",\"BaseTool\"],\"display_name\":\"RequestsGetTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"RequestsPatchTool\":{\"template\":{\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"requests_wrapper\":{\"type\":\"TextRequestsWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"requests_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"RequestsPatchTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"RequestsPatchTool\",\"BaseRequestsTool\",\"BaseTool\"],\"display_name\":\"RequestsPatchTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"RequestsPostTool\":{\"template\":{\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"requests_wrapper\":{\"type\":\"TextRequestsWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"requests_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"RequestsPostTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"RequestsPostTool\",\"BaseRequestsTool\",\"BaseTool\"],\"display_name\":\"RequestsPostTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"RequestsPutTool\":{\"template\":{\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"requests_wrapper\":{\"type\":\"TextRequestsWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"requests_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"RequestsPutTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"BaseRequestsTool\",\"BaseTool\",\"RequestsPutTool\"],\"display_name\":\"RequestsPutTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"WikipediaQueryRun\":{\"template\":{\"api_wrapper\":{\"type\":\"WikipediaAPIWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"WikipediaQueryRun\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"WikipediaQueryRun\",\"BaseTool\"],\"display_name\":\"WikipediaQueryRun\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"WolframAlphaQueryRun\":{\"template\":{\"api_wrapper\":{\"type\":\"WolframAlphaAPIWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"WolframAlphaQueryRun\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"BaseTool\",\"WolframAlphaQueryRun\"],\"display_name\":\"WolframAlphaQueryRun\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false}},\"toolkits\":{\"JsonToolkit\":{\"template\":{\"spec\":{\"type\":\"JsonSpec\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"spec\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"JsonToolkit\"},\"description\":\"Toolkit for interacting with a JSON spec.\",\"base_classes\":[\"JsonToolkit\",\"BaseToolkit\",\"Tool\"],\"display_name\":\"JsonToolkit\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"OpenAPIToolkit\":{\"template\":{\"json_agent\":{\"type\":\"AgentExecutor\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"json_agent\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"requests_wrapper\":{\"type\":\"TextRequestsWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"requests_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"OpenAPIToolkit\"},\"description\":\"Toolkit for interacting with an OpenAPI API.\",\"base_classes\":[\"OpenAPIToolkit\",\"BaseToolkit\",\"Tool\"],\"display_name\":\"OpenAPIToolkit\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"VectorStoreInfo\":{\"template\":{\"vectorstore\":{\"type\":\"VectorStore\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"vectorstore\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"description\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"fileTypes\":[],\"password\":false,\"name\":\"description\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"VectorStoreInfo\"},\"description\":\"Information about a VectorStore.\",\"base_classes\":[\"VectorStoreInfo\"],\"display_name\":\"VectorStoreInfo\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"VectorStoreRouterToolkit\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"vectorstores\":{\"type\":\"VectorStoreInfo\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"vectorstores\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"VectorStoreRouterToolkit\"},\"description\":\"Toolkit for routing between Vector Stores.\",\"base_classes\":[\"VectorStoreRouterToolkit\",\"BaseToolkit\",\"Tool\"],\"display_name\":\"VectorStoreRouterToolkit\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"VectorStoreToolkit\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"vectorstore_info\":{\"type\":\"VectorStoreInfo\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"vectorstore_info\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"VectorStoreToolkit\"},\"description\":\"Toolkit for interacting with a Vector Store.\",\"base_classes\":[\"VectorStoreToolkit\",\"BaseToolkit\",\"Tool\"],\"display_name\":\"VectorStoreToolkit\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"Metaphor\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import List, Union\\n\\nfrom langchain.agents import tool\\nfrom langchain.agents.agent_toolkits.base import BaseToolkit\\nfrom langchain.tools import Tool\\nfrom metaphor_python import Metaphor  # type: ignore\\n\\nfrom langflow import CustomComponent\\n\\n\\nclass MetaphorToolkit(CustomComponent):\\n    display_name: str = \\\"Metaphor\\\"\\n    description: str = \\\"Metaphor Toolkit\\\"\\n    documentation = \\\"https://python.langchain.com/docs/integrations/tools/metaphor_search\\\"\\n    beta: bool = True\\n    # api key should be password = True\\n    field_config = {\\n        \\\"metaphor_api_key\\\": {\\\"display_name\\\": \\\"Metaphor API Key\\\", \\\"password\\\": True},\\n        \\\"code\\\": {\\\"advanced\\\": True},\\n    }\\n\\n    def build(\\n        self,\\n        metaphor_api_key: str,\\n        use_autoprompt: bool = True,\\n        search_num_results: int = 5,\\n        similar_num_results: int = 5,\\n    ) -> Union[Tool, BaseToolkit]:\\n        # If documents, then we need to create a Vectara instance using .from_documents\\n        client = Metaphor(api_key=metaphor_api_key)\\n\\n        @tool\\n        def search(query: str):\\n            \\\"\\\"\\\"Call search engine with a query.\\\"\\\"\\\"\\n            return client.search(query, use_autoprompt=use_autoprompt, num_results=search_num_results)\\n\\n        @tool\\n        def get_contents(ids: List[str]):\\n            \\\"\\\"\\\"Get contents of a webpage.\\n\\n            The ids passed in should be a list of ids as fetched from `search`.\\n            \\\"\\\"\\\"\\n            return client.get_contents(ids)\\n\\n        @tool\\n        def find_similar(url: str):\\n            \\\"\\\"\\\"Get search results similar to a given URL.\\n\\n            The url passed in should be a URL returned from `search`\\n            \\\"\\\"\\\"\\n            return client.find_similar(url, num_results=similar_num_results)\\n\\n        return [search, get_contents, find_similar]  # type: ignore\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":true,\"dynamic\":true,\"info\":\"\"},\"metaphor_api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"metaphor_api_key\",\"display_name\":\"Metaphor API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_num_results\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":5,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"search_num_results\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"similar_num_results\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":5,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"similar_num_results\",\"display_name\":\"similar_num_results\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"use_autoprompt\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"use_autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Metaphor Toolkit\",\"base_classes\":[\"Tool\",\"BaseTool\",\"BaseToolkit\"],\"display_name\":\"Metaphor\",\"documentation\":\"https://python.langchain.com/docs/integrations/tools/metaphor_search\",\"custom_fields\":{\"metaphor_api_key\":null,\"search_num_results\":null,\"similar_num_results\":null,\"use_autoprompt\":null},\"output_types\":[\"Metaphor\"],\"field_formatters\":{},\"beta\":true}},\"wrappers\":{\"TextRequestsWrapper\":{\"template\":{\"aiosession\":{\"type\":\"ClientSession\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"aiosession\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"auth\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"auth\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"headers\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"fileTypes\":[],\"password\":false,\"name\":\"headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"TextRequestsWrapper\"},\"description\":\"Lightweight wrapper around requests library.\",\"base_classes\":[\"TextRequestsWrapper\"],\"display_name\":\"TextRequestsWrapper\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"SQLDatabase\":{\"template\":{\"database_uri\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"database_uri\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"engine_args\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"engine_args\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"SQLDatabase\"},\"description\":\"Construct a SQLAlchemy engine from URI.\",\"base_classes\":[\"SQLDatabase\",\"Callable\"],\"display_name\":\"SQLDatabase\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false}},\"embeddings\":{\"OpenAIEmbeddings\":{\"template\":{\"allowed_special\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":[],\"fileTypes\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"async_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"async_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"chunk_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1000,\"fileTypes\":[],\"password\":false,\"name\":\"chunk_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"default_headers\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"default_headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"default_query\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"default_query\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"deployment\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"fileTypes\":[],\"password\":false,\"name\":\"deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"disallowed_special\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"all\",\"fileTypes\":[],\"password\":false,\"name\":\"disallowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"embedding_ctx_length\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":8191,\"fileTypes\":[],\"password\":false,\"name\":\"embedding_ctx_length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"headers\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"fileTypes\":[],\"password\":false,\"name\":\"headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"http_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"http_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"max_retries\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":2,\"fileTypes\":[],\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"model\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"fileTypes\":[],\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"model_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"openai_api_base\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"openai_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"openai_api_type\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"openai_api_version\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"openai_organization\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"openai_proxy\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"request_timeout\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"retry_max_seconds\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":20,\"fileTypes\":[],\"password\":false,\"name\":\"retry_max_seconds\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"retry_min_seconds\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":4,\"fileTypes\":[],\"password\":false,\"name\":\"retry_min_seconds\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"show_progress_bar\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"show_progress_bar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"skip_empty\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"skip_empty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"tiktoken_enabled\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"password\":true,\"name\":\"tiktoken_enabled\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tiktoken_model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"OpenAIEmbeddings\"},\"description\":\"OpenAI embedding models.\",\"base_classes\":[\"OpenAIEmbeddings\",\"Embeddings\"],\"display_name\":\"OpenAIEmbeddings\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"CohereEmbeddings\":{\"template\":{\"async_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"async_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"cohere_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"cohere_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"max_retries\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"model\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"embed-english-v2.0\",\"fileTypes\":[],\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"request_timeout\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"truncate\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"truncate\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"user_agent\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"langchain\",\"fileTypes\":[],\"password\":false,\"name\":\"user_agent\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CohereEmbeddings\"},\"description\":\"Cohere embedding models.\",\"base_classes\":[\"Embeddings\",\"CohereEmbeddings\"],\"display_name\":\"CohereEmbeddings\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/cohere\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"HuggingFaceEmbeddings\":{\"template\":{\"cache_folder\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"cache_folder\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"encode_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"encode_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"model_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"sentence-transformers/all-mpnet-base-v2\",\"fileTypes\":[],\"password\":false,\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"multi_process\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"multi_process\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"HuggingFaceEmbeddings\"},\"description\":\"HuggingFace sentence_transformers embedding models.\",\"base_classes\":[\"Embeddings\",\"HuggingFaceEmbeddings\"],\"display_name\":\"HuggingFaceEmbeddings\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/sentence_transformers\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"VertexAIEmbeddings\":{\"template\":{\"client\":{\"type\":\"ForwardRef(\\\"'_LanguageModel'\\\")\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"client_preview\":{\"type\":\"ForwardRef(\\\"'_LanguageModel'\\\")\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client_preview\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"credentials\":{\"type\":\"file\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".json\"],\"file_path\":\"\",\"password\":false,\"name\":\"credentials\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"location\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"us-central1\",\"fileTypes\":[],\"password\":false,\"name\":\"location\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"max_output_tokens\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":128,\"fileTypes\":[],\"password\":true,\"name\":\"max_output_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"max_retries\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":6,\"fileTypes\":[],\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"textembedding-gecko\",\"fileTypes\":[],\"password\":false,\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"n\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1,\"fileTypes\":[],\"password\":false,\"name\":\"n\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"project\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"project\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"request_parallelism\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":5,\"fileTypes\":[],\"password\":false,\"name\":\"request_parallelism\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"stop\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"stop\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"streaming\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"streaming\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.0,\"fileTypes\":[],\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"top_k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":40,\"fileTypes\":[],\"password\":false,\"name\":\"top_k\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.95,\"fileTypes\":[],\"password\":false,\"name\":\"top_p\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"_type\":\"VertexAIEmbeddings\"},\"description\":\"Google Cloud VertexAI embedding models.\",\"base_classes\":[\"_VertexAIBase\",\"_VertexAICommon\",\"Embeddings\",\"VertexAIEmbeddings\"],\"display_name\":\"VertexAIEmbeddings\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/google_vertex_ai_palm\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"AmazonBedrockEmbeddings\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"credentials_profile_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"endpoint_url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"region_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"field_formatters\":{},\"beta\":true}},\"vectorstores\":{\"FAISS\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"folder_path\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"folder_path\",\"display_name\":\"Local Path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"ids\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"ids\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"index_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"index_name\",\"display_name\":\"Index Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadatas\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_kwargs\":{\"type\":\"NestedDict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"FAISS\"},\"description\":\"Construct FAISS wrapper from raw documents.\",\"base_classes\":[\"VectorStore\",\"FAISS\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"FAISS\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/faiss\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"MongoDBAtlasVectorSearch\":{\"template\":{\"collection\":{\"type\":\"Collection[MongoDBDocumentType]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"collection\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"collection_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"collection_name\",\"display_name\":\"Collection Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"db_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"db_name\",\"display_name\":\"Database Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"index_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"index_name\",\"display_name\":\"Index Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadatas\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"mongodb_atlas_cluster_uri\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"mongodb_atlas_cluster_uri\",\"display_name\":\"MongoDB Atlas Cluster URI\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_kwargs\":{\"type\":\"NestedDict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"MongoDBAtlasVectorSearch\"},\"description\":\"Construct a `MongoDB Atlas Vector Search` vector store from raw documents.\",\"base_classes\":[\"VectorStore\",\"MongoDBAtlasVectorSearch\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"MongoDB Atlas\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/mongodb_atlas\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"Pinecone\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1000,\"fileTypes\":[],\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"batch_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":32,\"fileTypes\":[],\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"ids\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"ids\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"index_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"index_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadatas\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"namespace\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"namespace\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"pinecone_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"pinecone_api_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"pinecone_env\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"pinecone_env\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"pool_threads\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":4,\"fileTypes\":[],\"password\":false,\"name\":\"pool_threads\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_kwargs\":{\"type\":\"NestedDict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"text_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"text\",\"fileTypes\":[],\"password\":true,\"name\":\"text_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"upsert_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"upsert_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"Pinecone\"},\"description\":\"Construct Pinecone wrapper from raw documents.\",\"base_classes\":[\"VectorStore\",\"Pinecone\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"Pinecone\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/pinecone\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"Qdrant\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"hnsw_config\":{\"type\":\"common_types.HnswConfigDiff\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"hnsw_config\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"init_from\":{\"type\":\"common_types.InitFrom\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"init_from\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"optimizers_config\":{\"type\":\"common_types.OptimizersConfigDiff\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"optimizers_config\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"quantization_config\":{\"type\":\"common_types.QuantizationConfig\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"quantization_config\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"wal_config\":{\"type\":\"common_types.WalConfigDiff\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"wal_config\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"api_key\",\"display_name\":\"API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"batch_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":64,\"fileTypes\":[],\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"collection_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"collection_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"content_payload_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"page_content\",\"fileTypes\":[],\"password\":false,\"name\":\"content_payload_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"distance_func\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"Cosine\",\"fileTypes\":[],\"password\":false,\"name\":\"distance_func\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"force_recreate\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"force_recreate\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"grpc_port\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":6334,\"fileTypes\":[],\"password\":false,\"name\":\"grpc_port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"host\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"host\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"https\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"https\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"ids\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"ids\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"location\":{\"type\":\"str\",\"required\":false,\"placeholder\":\":memory:\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\":memory:\",\"fileTypes\":[],\"password\":false,\"name\":\"location\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata_payload_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"metadata\",\"fileTypes\":[],\"password\":false,\"name\":\"metadata_payload_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"metadatas\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"on_disk\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"on_disk\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"on_disk_payload\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"on_disk_payload\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"path\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"path\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"port\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":6333,\"fileTypes\":[],\"password\":false,\"name\":\"port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"prefer_grpc\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"prefer_grpc\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"fileTypes\":[],\"password\":false,\"name\":\"prefix\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"replication_factor\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"replication_factor\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_kwargs\":{\"type\":\"NestedDict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"shard_number\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"shard_number\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"timeout\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"url\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"vector_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"vector_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"write_consistency_factor\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"write_consistency_factor\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"Qdrant\"},\"description\":\"Construct Qdrant wrapper from a list of texts.\",\"base_classes\":[\"VectorStore\",\"Qdrant\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"Qdrant\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/qdrant\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"SupabaseVectorStore\":{\"template\":{\"client\":{\"type\":\"supabase.client.Client\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"chunk_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":500,\"fileTypes\":[],\"password\":false,\"name\":\"chunk_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"ids\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"ids\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadatas\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"query_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"query_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_kwargs\":{\"type\":\"NestedDict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"supabase_service_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"supabase_service_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"supabase_url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"supabase_url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"table_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"table_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"SupabaseVectorStore\"},\"description\":\"Return VectorStore initialized from texts and embeddings.\",\"base_classes\":[\"VectorStore\",\"SupabaseVectorStore\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"Supabase\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/supabase\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"Weaviate\":{\"template\":{\"client\":{\"type\":\"weaviate.Client\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"relevance_score_fn\":{\"type\":\"Callable[[float], float]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"password\":false,\"name\":\"relevance_score_fn\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"batch_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"by_text\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"by_text\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client_kwargs\":{\"type\":\"code\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"client_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"index_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"index_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadatas\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_kwargs\":{\"type\":\"NestedDict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"text_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"text\",\"fileTypes\":[],\"password\":true,\"name\":\"text_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"weaviate_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"weaviate_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"weaviate_url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"http://localhost:8080\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"http://localhost:8080\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"weaviate_url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"Weaviate\"},\"description\":\"Construct Weaviate wrapper from raw documents.\",\"base_classes\":[\"VectorStore\",\"Weaviate\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"Weaviate\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/weaviate\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"Redis\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\n\\nfrom langchain.vectorstores.redis import Redis\\nfrom langchain.schema import Document\\nfrom langchain.vectorstores.base import VectorStore\\nfrom langchain.embeddings.base import Embeddings\\n\\n\\nclass RedisComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing a Vector Store using Redis.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Redis\\\"\\n    description: str = \\\"Implementation of Vector Store using Redis\\\"\\n    documentation = \\\"https://python.langchain.com/docs/integrations/vectorstores/redis\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        \\\"\\\"\\\"\\n        Builds the configuration for the component.\\n\\n        Returns:\\n        - dict: A dictionary containing the configuration options for the component.\\n        \\\"\\\"\\\"\\n        return {\\n            \\\"index_name\\\": {\\\"display_name\\\": \\\"Index Name\\\", \\\"value\\\": \\\"your_index\\\"},\\n            \\\"code\\\": {\\\"show\\\": False, \\\"display_name\\\": \\\"Code\\\"},\\n            \\\"documents\\\": {\\\"display_name\\\": \\\"Documents\\\", \\\"is_list\\\": True},\\n            \\\"embedding\\\": {\\\"display_name\\\": \\\"Embedding\\\"},\\n            \\\"redis_server_url\\\": {\\n                \\\"display_name\\\": \\\"Redis Server Connection String\\\",\\n                \\\"advanced\\\": False,\\n            },\\n            \\\"redis_index_name\\\": {\\\"display_name\\\": \\\"Redis Index\\\", \\\"advanced\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        embedding: Embeddings,\\n        redis_server_url: str,\\n        redis_index_name: str,\\n        documents: Optional[Document] = None,\\n    ) -> VectorStore:\\n        \\\"\\\"\\\"\\n        Builds the Vector Store or BaseRetriever object.\\n\\n        Args:\\n        - embedding (Embeddings): The embeddings to use for the Vector Store.\\n        - documents (Optional[Document]): The documents to use for the Vector Store.\\n        - redis_index_name (str): The name of the Redis index.\\n        - redis_server_url (str): The URL for the Redis server.\\n\\n        Returns:\\n        - VectorStore: The Vector Store object.\\n        \\\"\\\"\\\"\\n\\n        return Redis.from_documents(\\n            documents=documents,  # type: ignore\\n            embedding=embedding,\\n            redis_url=redis_server_url,\\n            index_name=redis_index_name,\\n        )\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"redis_index_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"redis_index_name\",\"display_name\":\"Redis Index\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"redis_server_url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"redis_server_url\",\"display_name\":\"Redis Server Connection String\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Implementation of Vector Store using Redis\",\"base_classes\":[\"VectorStore\"],\"display_name\":\"Redis\",\"documentation\":\"https://python.langchain.com/docs/integrations/vectorstores/redis\",\"custom_fields\":{\"documents\":null,\"embedding\":null,\"redis_index_name\":null,\"redis_server_url\":null},\"output_types\":[\"Redis\"],\"field_formatters\":{},\"beta\":true},\"Chroma\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"chroma_server_cors_allow_origins\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chroma_server_cors_allow_origins\",\"display_name\":\"Server CORS Allow Origins\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"chroma_server_grpc_port\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chroma_server_grpc_port\",\"display_name\":\"Server gRPC Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"chroma_server_host\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chroma_server_host\",\"display_name\":\"Server Host\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"chroma_server_port\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chroma_server_port\",\"display_name\":\"Server Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"chroma_server_ssl_enabled\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chroma_server_ssl_enabled\",\"display_name\":\"Server SSL Enabled\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional, Union\\nfrom langflow import CustomComponent\\n\\nfrom langchain.vectorstores import Chroma\\nfrom langchain.schema import Document\\nfrom langchain.vectorstores.base import VectorStore\\nfrom langchain.schema import BaseRetriever\\nfrom langchain.embeddings.base import Embeddings\\nimport chromadb  # type: ignore\\n\\n\\nclass ChromaComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing a Vector Store using Chroma.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Chroma\\\"\\n    description: str = \\\"Implementation of Vector Store using Chroma\\\"\\n    documentation = \\\"https://python.langchain.com/docs/integrations/vectorstores/chroma\\\"\\n    beta: bool = True\\n\\n    def build_config(self):\\n        \\\"\\\"\\\"\\n        Builds the configuration for the component.\\n\\n        Returns:\\n        - dict: A dictionary containing the configuration options for the component.\\n        \\\"\\\"\\\"\\n        return {\\n            \\\"collection_name\\\": {\\\"display_name\\\": \\\"Collection Name\\\", \\\"value\\\": \\\"langflow\\\"},\\n            \\\"persist\\\": {\\\"display_name\\\": \\\"Persist\\\"},\\n            \\\"persist_directory\\\": {\\\"display_name\\\": \\\"Persist Directory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False, \\\"display_name\\\": \\\"Code\\\"},\\n            \\\"documents\\\": {\\\"display_name\\\": \\\"Documents\\\", \\\"is_list\\\": True},\\n            \\\"embedding\\\": {\\\"display_name\\\": \\\"Embedding\\\"},\\n            \\\"chroma_server_cors_allow_origins\\\": {\\n                \\\"display_name\\\": \\\"Server CORS Allow Origins\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"chroma_server_host\\\": {\\\"display_name\\\": \\\"Server Host\\\", \\\"advanced\\\": True},\\n            \\\"chroma_server_port\\\": {\\\"display_name\\\": \\\"Server Port\\\", \\\"advanced\\\": True},\\n            \\\"chroma_server_grpc_port\\\": {\\n                \\\"display_name\\\": \\\"Server gRPC Port\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"chroma_server_ssl_enabled\\\": {\\n                \\\"display_name\\\": \\\"Server SSL Enabled\\\",\\n                \\\"advanced\\\": True,\\n            },\\n        }\\n\\n    def build(\\n        self,\\n        collection_name: str,\\n        persist: bool,\\n        chroma_server_ssl_enabled: bool,\\n        persist_directory: Optional[str] = None,\\n        embedding: Optional[Embeddings] = None,\\n        documents: Optional[Document] = None,\\n        chroma_server_cors_allow_origins: Optional[str] = None,\\n        chroma_server_host: Optional[str] = None,\\n        chroma_server_port: Optional[int] = None,\\n        chroma_server_grpc_port: Optional[int] = None,\\n    ) -> Union[VectorStore, BaseRetriever]:\\n        \\\"\\\"\\\"\\n        Builds the Vector Store or BaseRetriever object.\\n\\n        Args:\\n        - collection_name (str): The name of the collection.\\n        - persist_directory (Optional[str]): The directory to persist the Vector Store to.\\n        - chroma_server_ssl_enabled (bool): Whether to enable SSL for the Chroma server.\\n        - persist (bool): Whether to persist the Vector Store or not.\\n        - embedding (Optional[Embeddings]): The embeddings to use for the Vector Store.\\n        - documents (Optional[Document]): The documents to use for the Vector Store.\\n        - chroma_server_cors_allow_origins (Optional[str]): The CORS allow origins for the Chroma server.\\n        - chroma_server_host (Optional[str]): The host for the Chroma server.\\n        - chroma_server_port (Optional[int]): The port for the Chroma server.\\n        - chroma_server_grpc_port (Optional[int]): The gRPC port for the Chroma server.\\n\\n        Returns:\\n        - Union[VectorStore, BaseRetriever]: The Vector Store or BaseRetriever object.\\n        \\\"\\\"\\\"\\n\\n        # Chroma settings\\n        chroma_settings = None\\n\\n        if chroma_server_host is not None:\\n            chroma_settings = chromadb.config.Settings(\\n                chroma_server_cors_allow_origins=chroma_server_cors_allow_origins or None,\\n                chroma_server_host=chroma_server_host,\\n                chroma_server_port=chroma_server_port or None,\\n                chroma_server_grpc_port=chroma_server_grpc_port or None,\\n                chroma_server_ssl_enabled=chroma_server_ssl_enabled,\\n            )\\n\\n        # If documents, then we need to create a Chroma instance using .from_documents\\n        if documents is not None and embedding is not None:\\n            return Chroma.from_documents(\\n                documents=documents,  # type: ignore\\n                persist_directory=persist_directory if persist else None,\\n                collection_name=collection_name,\\n                embedding=embedding,\\n                client_settings=chroma_settings,\\n            )\\n\\n        return Chroma(persist_directory=persist_directory, client_settings=chroma_settings)\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"collection_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"langflow\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"collection_name\",\"display_name\":\"Collection Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"persist\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"persist\",\"display_name\":\"Persist\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"persist_directory\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"persist_directory\",\"display_name\":\"Persist Directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Implementation of Vector Store using Chroma\",\"base_classes\":[\"VectorStore\",\"BaseRetriever\"],\"display_name\":\"Chroma\",\"documentation\":\"https://python.langchain.com/docs/integrations/vectorstores/chroma\",\"custom_fields\":{\"chroma_server_cors_allow_origins\":null,\"chroma_server_grpc_port\":null,\"chroma_server_host\":null,\"chroma_server_port\":null,\"chroma_server_ssl_enabled\":null,\"collection_name\":null,\"documents\":null,\"embedding\":null,\"persist\":null,\"persist_directory\":null},\"output_types\":[\"Chroma\"],\"field_formatters\":{},\"beta\":true},\"pgvector\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional, List\\nfrom langflow import CustomComponent\\n\\nfrom langchain.vectorstores.pgvector import PGVector\\nfrom langchain.schema import Document\\nfrom langchain.vectorstores.base import VectorStore\\nfrom langchain.embeddings.base import Embeddings\\n\\n\\nclass PostgresqlVectorComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing a Vector Store using PostgreSQL.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"PGVector\\\"\\n    description: str = \\\"Implementation of Vector Store using PostgreSQL\\\"\\n    documentation = \\\"https://python.langchain.com/docs/integrations/vectorstores/pgvector\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        \\\"\\\"\\\"\\n        Builds the configuration for the component.\\n\\n        Returns:\\n        - dict: A dictionary containing the configuration options for the component.\\n        \\\"\\\"\\\"\\n        return {\\n            \\\"index_name\\\": {\\\"display_name\\\": \\\"Index Name\\\", \\\"value\\\": \\\"your_index\\\"},\\n            \\\"code\\\": {\\\"show\\\": True, \\\"display_name\\\": \\\"Code\\\"},\\n            \\\"documents\\\": {\\\"display_name\\\": \\\"Documents\\\", \\\"is_list\\\": True},\\n            \\\"embedding\\\": {\\\"display_name\\\": \\\"Embedding\\\"},\\n            \\\"pg_server_url\\\": {\\n                \\\"display_name\\\": \\\"PostgreSQL Server Connection String\\\",\\n                \\\"advanced\\\": False,\\n            },\\n            \\\"collection_name\\\": {\\\"display_name\\\": \\\"Table\\\", \\\"advanced\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        embedding: Embeddings,\\n        pg_server_url: str,\\n        collection_name: str,\\n        documents: Optional[List[Document]] = None,\\n    ) -> VectorStore:\\n        \\\"\\\"\\\"\\n        Builds the Vector Store or BaseRetriever object.\\n\\n        Args:\\n        - embedding (Embeddings): The embeddings to use for the Vector Store.\\n        - documents (Optional[Document]): The documents to use for the Vector Store.\\n        - collection_name (str): The name of the PG table.\\n        - pg_server_url (str): The URL for the PG server.\\n\\n        Returns:\\n        - VectorStore: The Vector Store object.\\n        \\\"\\\"\\\"\\n\\n        try:\\n            if documents is None:\\n                return PGVector.from_existing_index(\\n                    embedding=embedding,\\n                    collection_name=collection_name,\\n                    connection_string=pg_server_url,\\n                )\\n\\n            return PGVector.from_documents(\\n                embedding=embedding,\\n                documents=documents,\\n                collection_name=collection_name,\\n                connection_string=pg_server_url,\\n            )\\n        except Exception as e:\\n            raise RuntimeError(f\\\"Failed to build PGVector: {e}\\\")\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"collection_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"collection_name\",\"display_name\":\"Table\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"pg_server_url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"pg_server_url\",\"display_name\":\"PostgreSQL Server Connection String\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Implementation of Vector Store using PostgreSQL\",\"base_classes\":[],\"display_name\":\"PGVector\",\"documentation\":\"https://python.langchain.com/docs/integrations/vectorstores/pgvector\",\"custom_fields\":{\"collection_name\":null,\"documents\":null,\"embedding\":null,\"pg_server_url\":null},\"output_types\":[\"pgvector\"],\"field_formatters\":{},\"beta\":true},\"Vectara\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional, Union\\n\\nfrom langchain.schema import BaseRetriever, Document\\nfrom langchain.vectorstores import Vectara\\nfrom langchain.vectorstores.base import VectorStore\\n\\nfrom langflow import CustomComponent\\n\\n\\nclass VectaraComponent(CustomComponent):\\n    display_name: str = \\\"Vectara\\\"\\n    description: str = \\\"Implementation of Vector Store using Vectara\\\"\\n    documentation = \\\"https://python.langchain.com/docs/integrations/vectorstores/vectara\\\"\\n    beta = True\\n    # api key should be password = True\\n    field_config = {\\n        \\\"vectara_customer_id\\\": {\\\"display_name\\\": \\\"Vectara Customer ID\\\"},\\n        \\\"vectara_corpus_id\\\": {\\\"display_name\\\": \\\"Vectara Corpus ID\\\"},\\n        \\\"vectara_api_key\\\": {\\\"display_name\\\": \\\"Vectara API Key\\\", \\\"password\\\": True},\\n        \\\"code\\\": {\\\"show\\\": False},\\n        \\\"documents\\\": {\\\"display_name\\\": \\\"Documents\\\"},\\n    }\\n\\n    def build(\\n        self,\\n        vectara_customer_id: str,\\n        vectara_corpus_id: str,\\n        vectara_api_key: str,\\n        documents: Optional[Document] = None,\\n    ) -> Union[VectorStore, BaseRetriever]:\\n        # If documents, then we need to create a Vectara instance using .from_documents\\n        if documents is not None:\\n            return Vectara.from_documents(\\n                documents=documents,  # type: ignore\\n                vectara_customer_id=vectara_customer_id,\\n                vectara_corpus_id=vectara_corpus_id,\\n                vectara_api_key=vectara_api_key,\\n                source=\\\"langflow\\\",\\n            )\\n\\n        return Vectara(\\n            vectara_customer_id=vectara_customer_id,\\n            vectara_corpus_id=vectara_corpus_id,\\n            vectara_api_key=vectara_api_key,\\n            source=\\\"langflow\\\",\\n        )\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"vectara_api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"vectara_api_key\",\"display_name\":\"Vectara API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"vectara_corpus_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"vectara_corpus_id\",\"display_name\":\"Vectara Corpus ID\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"vectara_customer_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"vectara_customer_id\",\"display_name\":\"Vectara Customer ID\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Implementation of Vector Store using Vectara\",\"base_classes\":[\"VectorStore\",\"BaseRetriever\"],\"display_name\":\"Vectara\",\"documentation\":\"https://python.langchain.com/docs/integrations/vectorstores/vectara\",\"custom_fields\":{\"documents\":null,\"vectara_api_key\":null,\"vectara_corpus_id\":null,\"vectara_customer_id\":null},\"output_types\":[\"Vectara\"],\"field_formatters\":{},\"beta\":true}},\"documentloaders\":{\"AZLyricsLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"web_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"AZLyricsLoader\"},\"description\":\"Load `AZLyrics` webpages.\",\"base_classes\":[\"Document\"],\"display_name\":\"AZLyricsLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/azlyrics\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"AirbyteJSONLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".json\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"BSHTMLLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".html\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"BSHTMLLoader\"},\"description\":\"Load `HTML` files and parse them with `beautiful soup`.\",\"base_classes\":[\"Document\"],\"display_name\":\"BSHTMLLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/html\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"CSVLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".csv\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"CoNLLULoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".csv\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CoNLLULoader\"},\"description\":\"Load `CoNLL-U` files.\",\"base_classes\":[\"Document\"],\"display_name\":\"CoNLLULoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/conll-u\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"CollegeConfidentialLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"web_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CollegeConfidentialLoader\"},\"description\":\"Load `College Confidential` webpages.\",\"base_classes\":[\"Document\"],\"display_name\":\"CollegeConfidentialLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/college_confidential\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"DirectoryLoader\":{\"template\":{\"glob\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"**/*.txt\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"glob\",\"display_name\":\"glob\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"load_hidden\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"False\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"load_hidden\",\"display_name\":\"Load hidden files\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"max_concurrency\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"max_concurrency\",\"display_name\":\"Max concurrency\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"path\",\"display_name\":\"Local directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"recursive\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"True\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"recursive\",\"display_name\":\"Recursive\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"silent_errors\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"False\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"silent_errors\",\"display_name\":\"Silent errors\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"use_multithreading\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"True\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"use_multithreading\",\"display_name\":\"Use multithreading\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"DirectoryLoader\"},\"description\":\"Load from a directory.\",\"base_classes\":[\"Document\"],\"display_name\":\"DirectoryLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/file_directory\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"EverNoteLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".xml\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"EverNoteLoader\"},\"description\":\"Load from `EverNote`.\",\"base_classes\":[\"Document\"],\"display_name\":\"EverNoteLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/evernote\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"FacebookChatLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".json\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"FacebookChatLoader\"},\"description\":\"Load `Facebook Chat` messages directory dump.\",\"base_classes\":[\"Document\"],\"display_name\":\"FacebookChatLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/facebook_chat\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"GitLoader\":{\"template\":{\"branch\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"branch\",\"display_name\":\"Branch\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"clone_url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"clone_url\",\"display_name\":\"Clone URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"file_filter\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"file_filter\",\"display_name\":\"File extensions (comma-separated)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"repo_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"repo_path\",\"display_name\":\"Path to repository\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"GitLoader\"},\"description\":\"Load `Git` repository files.\",\"base_classes\":[\"Document\"],\"display_name\":\"GitLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/git\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"GitbookLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"web_page\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"web_page\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"GitbookLoader\"},\"description\":\"Load `GitBook` data.\",\"base_classes\":[\"Document\"],\"display_name\":\"GitbookLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/gitbook\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"GutenbergLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"web_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"GutenbergLoader\"},\"description\":\"Load from `Gutenberg.org`.\",\"base_classes\":[\"Document\"],\"display_name\":\"GutenbergLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/gutenberg\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"HNLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"web_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"HNLoader\"},\"description\":\"Load `Hacker News` data.\",\"base_classes\":[\"Document\"],\"display_name\":\"HNLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/hacker_news\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"IFixitLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"web_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"IFixitLoader\"},\"description\":\"Load `iFixit` repair guides, device wikis and answers.\",\"base_classes\":[\"Document\"],\"display_name\":\"IFixitLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/ifixit\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"IMSDbLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"web_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"IMSDbLoader\"},\"description\":\"Load `IMSDb` webpages.\",\"base_classes\":[\"Document\"],\"display_name\":\"IMSDbLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/imsdb\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"NotionDirectoryLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"path\",\"display_name\":\"Local directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"NotionDirectoryLoader\"},\"description\":\"Load `Notion directory` dump.\",\"base_classes\":[\"Document\"],\"display_name\":\"NotionDirectoryLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/notion\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"PyPDFLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".pdf\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"PyPDFLoader\"},\"description\":\"Load PDF using pypdf into list of documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"PyPDFLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/pdf\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"PyPDFDirectoryLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"path\",\"display_name\":\"Local directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"PyPDFDirectoryLoader\"},\"description\":\"Load a directory with `PDF` files using `pypdf` and chunks at character level.\",\"base_classes\":[\"Document\"],\"display_name\":\"PyPDFDirectoryLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/pdf\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"ReadTheDocsLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"path\",\"display_name\":\"Local directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ReadTheDocsLoader\"},\"description\":\"Load `ReadTheDocs` documentation directory.\",\"base_classes\":[\"Document\"],\"display_name\":\"ReadTheDocsLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/readthedocs_documentation\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"SRTLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".srt\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"SRTLoader\"},\"description\":\"Load `.srt` (subtitle) files.\",\"base_classes\":[\"Document\"],\"display_name\":\"SRTLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/subtitle\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"SlackDirectoryLoader\":{\"template\":{\"zip_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".zip\"],\"file_path\":\"\",\"password\":false,\"name\":\"zip_path\",\"display_name\":\"Path to zip file\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"workspace_url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"workspace_url\",\"display_name\":\"Workspace URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"SlackDirectoryLoader\"},\"description\":\"Load from a `Slack` directory dump.\",\"base_classes\":[\"Document\"],\"display_name\":\"SlackDirectoryLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/slack\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"TextLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".txt\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"TextLoader\"},\"description\":\"Load text file.\",\"base_classes\":[\"Document\"],\"display_name\":\"TextLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"UnstructuredEmailLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".eml\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"UnstructuredEmailLoader\"},\"description\":\"Load email files using `Unstructured`.\",\"base_classes\":[\"Document\"],\"display_name\":\"UnstructuredEmailLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/email\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"UnstructuredHTMLLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".html\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"UnstructuredHTMLLoader\"},\"description\":\"Load `HTML` files using `Unstructured`.\",\"base_classes\":[\"Document\"],\"display_name\":\"UnstructuredHTMLLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/html\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"UnstructuredMarkdownLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".md\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"UnstructuredMarkdownLoader\"},\"description\":\"Load `Markdown` files using `Unstructured`.\",\"base_classes\":[\"Document\"],\"display_name\":\"UnstructuredMarkdownLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/markdown\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"UnstructuredPowerPointLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".pptx\",\".ppt\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"UnstructuredPowerPointLoader\"},\"description\":\"Load `Microsoft PowerPoint` files using `Unstructured`.\",\"base_classes\":[\"Document\"],\"display_name\":\"UnstructuredPowerPointLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/microsoft_powerpoint\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"UnstructuredWordDocumentLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".docx\",\".doc\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"UnstructuredWordDocumentLoader\"},\"description\":\"Load `Microsoft Word` file using `Unstructured`.\",\"base_classes\":[\"Document\"],\"display_name\":\"UnstructuredWordDocumentLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/microsoft_word\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"WebBaseLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"web_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"WebBaseLoader\"},\"description\":\"Load HTML pages using `urllib` and parse them with `BeautifulSoup'.\",\"base_classes\":[\"Document\"],\"display_name\":\"WebBaseLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/web_base\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"FileLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[\"json\",\"txt\",\"csv\",\"jsonl\",\"html\",\"htm\",\"conllu\",\"enex\",\"msg\",\"pdf\",\"srt\",\"eml\",\"md\",\"pptx\",\"docx\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"display_name\":\"File Path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langchain.schema import Document\\n\\nfrom langflow import CustomComponent\\nfrom langflow.utils.constants import LOADERS_INFO\\n\\n\\nclass FileLoaderComponent(CustomComponent):\\n    display_name: str = \\\"File Loader\\\"\\n    description: str = \\\"Generic File Loader\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        loader_options = [\\\"Automatic\\\"] + [loader_info[\\\"name\\\"] for loader_info in LOADERS_INFO]\\n\\n        file_types = []\\n        suffixes = []\\n\\n        for loader_info in LOADERS_INFO:\\n            if \\\"allowedTypes\\\" in loader_info:\\n                file_types.extend(loader_info[\\\"allowedTypes\\\"])\\n                suffixes.extend([f\\\".{ext}\\\" for ext in loader_info[\\\"allowedTypes\\\"]])\\n\\n        return {\\n            \\\"file_path\\\": {\\n                \\\"display_name\\\": \\\"File Path\\\",\\n                \\\"required\\\": True,\\n                \\\"field_type\\\": \\\"file\\\",\\n                \\\"file_types\\\": [\\n                    \\\"json\\\",\\n                    \\\"txt\\\",\\n                    \\\"csv\\\",\\n                    \\\"jsonl\\\",\\n                    \\\"html\\\",\\n                    \\\"htm\\\",\\n                    \\\"conllu\\\",\\n                    \\\"enex\\\",\\n                    \\\"msg\\\",\\n                    \\\"pdf\\\",\\n                    \\\"srt\\\",\\n                    \\\"eml\\\",\\n                    \\\"md\\\",\\n                    \\\"pptx\\\",\\n                    \\\"docx\\\",\\n                ],\\n                \\\"suffixes\\\": [\\n                    \\\".json\\\",\\n                    \\\".txt\\\",\\n                    \\\".csv\\\",\\n                    \\\".jsonl\\\",\\n                    \\\".html\\\",\\n                    \\\".htm\\\",\\n                    \\\".conllu\\\",\\n                    \\\".enex\\\",\\n                    \\\".msg\\\",\\n                    \\\".pdf\\\",\\n                    \\\".srt\\\",\\n                    \\\".eml\\\",\\n                    \\\".md\\\",\\n                    \\\".pptx\\\",\\n                    \\\".docx\\\",\\n                ],\\n                # \\\"file_types\\\" : file_types,\\n                # \\\"suffixes\\\": suffixes,\\n            },\\n            \\\"loader\\\": {\\n                \\\"display_name\\\": \\\"Loader\\\",\\n                \\\"is_list\\\": True,\\n                \\\"required\\\": True,\\n                \\\"options\\\": loader_options,\\n                \\\"value\\\": \\\"Automatic\\\",\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(self, file_path: str, loader: str) -> Document:\\n        file_type = file_path.split(\\\".\\\")[-1]\\n\\n        # Mapeie o nome do loader selecionado para suas informações\\n        selected_loader_info = None\\n        for loader_info in LOADERS_INFO:\\n            if loader_info[\\\"name\\\"] == loader:\\n                selected_loader_info = loader_info\\n                break\\n\\n        if selected_loader_info is None and loader != \\\"Automatic\\\":\\n            raise ValueError(f\\\"Loader {loader} not found in the loader info list\\\")\\n\\n        if loader == \\\"Automatic\\\":\\n            # Determine o loader automaticamente com base na extensão do arquivo\\n            default_loader_info = None\\n            for info in LOADERS_INFO:\\n                if \\\"defaultFor\\\" in info and file_type in info[\\\"defaultFor\\\"]:\\n                    default_loader_info = info\\n                    break\\n\\n            if default_loader_info is None:\\n                raise ValueError(f\\\"No default loader found for file type: {file_type}\\\")\\n\\n            selected_loader_info = default_loader_info\\n        if isinstance(selected_loader_info, dict):\\n            loader_import: str = selected_loader_info[\\\"import\\\"]\\n        else:\\n            raise ValueError(f\\\"Loader info for {loader} is not a dict\\\\nLoader info:\\\\n{selected_loader_info}\\\")\\n        module_name, class_name = loader_import.rsplit(\\\".\\\", 1)\\n\\n        try:\\n            # Importe o loader dinamicamente\\n            loader_module = __import__(module_name, fromlist=[class_name])\\n            loader_instance = getattr(loader_module, class_name)\\n        except ImportError as e:\\n            raise ValueError(f\\\"Loader {loader} could not be imported\\\\nLoader info:\\\\n{selected_loader_info}\\\") from e\\n\\n        result = loader_instance(file_path=file_path)\\n        return result.load()\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"loader\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"Automatic\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"Automatic\",\"Airbyte JSON (.jsonl)\",\"JSON (.json)\",\"BeautifulSoup4 HTML (.html, .htm)\",\"CSV (.csv)\",\"CoNLL-U (.conllu)\",\"EverNote (.enex)\",\"Facebook Chat (.json)\",\"Outlook Message (.msg)\",\"PyPDF (.pdf)\",\"Subtitle (.str)\",\"Text (.txt)\",\"Unstructured Email (.eml)\",\"Unstructured HTML (.html, .htm)\",\"Unstructured Markdown (.md)\",\"Unstructured PowerPoint (.pptx)\",\"Unstructured Word (.docx)\"],\"name\":\"loader\",\"display_name\":\"Loader\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Generic File Loader\",\"base_classes\":[\"Document\"],\"display_name\":\"File Loader\",\"documentation\":\"\",\"custom_fields\":{\"file_path\":null,\"loader\":null},\"output_types\":[\"FileLoader\"],\"field_formatters\":{},\"beta\":true},\"UrlLoader\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import List\\n\\nfrom langchain import document_loaders\\nfrom langchain.schema import Document\\nfrom langflow import CustomComponent\\n\\n\\nclass UrlLoaderComponent(CustomComponent):\\n    display_name: str = \\\"Url Loader\\\"\\n    description: str = \\\"Generic Url Loader Component\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"web_path\\\": {\\n                \\\"display_name\\\": \\\"Url\\\",\\n                \\\"required\\\": True,\\n            },\\n            \\\"loader\\\": {\\n                \\\"display_name\\\": \\\"Loader\\\",\\n                \\\"is_list\\\": True,\\n                \\\"required\\\": True,\\n                \\\"options\\\": [\\n                    \\\"AZLyricsLoader\\\",\\n                    \\\"CollegeConfidentialLoader\\\",\\n                    \\\"GitbookLoader\\\",\\n                    \\\"HNLoader\\\",\\n                    \\\"IFixitLoader\\\",\\n                    \\\"IMSDbLoader\\\",\\n                    \\\"WebBaseLoader\\\",\\n                ],\\n                \\\"value\\\": \\\"WebBaseLoader\\\",\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(self, web_path: str, loader: str) -> List[Document]:\\n        try:\\n            loader_instance = getattr(document_loaders, loader)(web_path=web_path)\\n        except Exception as e:\\n            raise ValueError(f\\\"No loader found for: {web_path}\\\") from e\\n        docs = loader_instance.load()\\n        avg_length = sum(len(doc.page_content) for doc in docs if hasattr(doc, \\\"page_content\\\")) / len(docs)\\n        self.status = f\\\"\\\"\\\"{len(docs)} documents)\\n        \\\\nAvg. Document Length (characters): {int(avg_length)}\\n        Documents: {docs[:3]}...\\\"\\\"\\\"\\n        return docs\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"loader\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"WebBaseLoader\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"AZLyricsLoader\",\"CollegeConfidentialLoader\",\"GitbookLoader\",\"HNLoader\",\"IFixitLoader\",\"IMSDbLoader\",\"WebBaseLoader\"],\"name\":\"loader\",\"display_name\":\"Loader\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"web_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Generic Url Loader Component\",\"base_classes\":[\"Document\"],\"display_name\":\"Url Loader\",\"documentation\":\"\",\"custom_fields\":{\"loader\":null,\"web_path\":null},\"output_types\":[\"UrlLoader\"],\"field_formatters\":{},\"beta\":true}},\"textsplitters\":{\"CharacterTextSplitter\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"chunk_overlap\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":200,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chunk_overlap\",\"display_name\":\"Chunk Overlap\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"chunk_size\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1000,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chunk_size\",\"display_name\":\"Chunk Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"separator\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\\\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"separator\",\"display_name\":\"Separator\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CharacterTextSplitter\"},\"description\":\"Splitting text that looks at characters.\",\"base_classes\":[\"Document\"],\"display_name\":\"CharacterTextSplitter\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/character_text_splitter\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"LanguageRecursiveTextSplitter\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"The documents to split.\"},\"chunk_overlap\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":200,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chunk_overlap\",\"display_name\":\"Chunk Overlap\",\"advanced\":false,\"dynamic\":false,\"info\":\"The amount of overlap between chunks.\"},\"chunk_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":1000,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chunk_size\",\"display_name\":\"Chunk Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"The maximum length of each chunk.\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.text_splitter import Language\\nfrom langchain.schema import Document\\n\\n\\nclass LanguageRecursiveTextSplitterComponent(CustomComponent):\\n    display_name: str = \\\"Language Recursive Text Splitter\\\"\\n    description: str = \\\"Split text into chunks of a specified length based on language.\\\"\\n    documentation: str = \\\"https://docs.langflow.org/components/text-splitters#languagerecursivetextsplitter\\\"\\n\\n    def build_config(self):\\n        options = [x.value for x in Language]\\n        return {\\n            \\\"documents\\\": {\\n                \\\"display_name\\\": \\\"Documents\\\",\\n                \\\"info\\\": \\\"The documents to split.\\\",\\n            },\\n            \\\"separator_type\\\": {\\n                \\\"display_name\\\": \\\"Separator Type\\\",\\n                \\\"info\\\": \\\"The type of separator to use.\\\",\\n                \\\"field_type\\\": \\\"str\\\",\\n                \\\"options\\\": options,\\n                \\\"value\\\": \\\"Python\\\",\\n            },\\n            \\\"separators\\\": {\\n                \\\"display_name\\\": \\\"Separators\\\",\\n                \\\"info\\\": \\\"The characters to split on.\\\",\\n                \\\"is_list\\\": True,\\n            },\\n            \\\"chunk_size\\\": {\\n                \\\"display_name\\\": \\\"Chunk Size\\\",\\n                \\\"info\\\": \\\"The maximum length of each chunk.\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 1000,\\n            },\\n            \\\"chunk_overlap\\\": {\\n                \\\"display_name\\\": \\\"Chunk Overlap\\\",\\n                \\\"info\\\": \\\"The amount of overlap between chunks.\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 200,\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        documents: list[Document],\\n        chunk_size: Optional[int] = 1000,\\n        chunk_overlap: Optional[int] = 200,\\n        separator_type: Optional[str] = \\\"Python\\\",\\n    ) -> list[Document]:\\n        \\\"\\\"\\\"\\n        Split text into chunks of a specified length.\\n\\n        Args:\\n            separators (list[str]): The characters to split on.\\n            chunk_size (int): The maximum length of each chunk.\\n            chunk_overlap (int): The amount of overlap between chunks.\\n            length_function (function): The function to use to calculate the length of the text.\\n\\n        Returns:\\n            list[str]: The chunks of text.\\n        \\\"\\\"\\\"\\n        from langchain.text_splitter import RecursiveCharacterTextSplitter\\n\\n        # Make sure chunk_size and chunk_overlap are ints\\n        if isinstance(chunk_size, str):\\n            chunk_size = int(chunk_size)\\n        if isinstance(chunk_overlap, str):\\n            chunk_overlap = int(chunk_overlap)\\n\\n        splitter = RecursiveCharacterTextSplitter.from_language(\\n            language=Language(separator_type),\\n            chunk_size=chunk_size,\\n            chunk_overlap=chunk_overlap,\\n        )\\n\\n        docs = splitter.split_documents(documents)\\n        return docs\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"separator_type\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"value\":\"Python\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"cpp\",\"go\",\"java\",\"kotlin\",\"js\",\"ts\",\"php\",\"proto\",\"python\",\"rst\",\"ruby\",\"rust\",\"scala\",\"swift\",\"markdown\",\"latex\",\"html\",\"sol\",\"csharp\",\"cobol\"],\"name\":\"separator_type\",\"display_name\":\"Separator Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"The type of separator to use.\"},\"_type\":\"CustomComponent\"},\"description\":\"Split text into chunks of a specified length based on language.\",\"base_classes\":[\"Document\"],\"display_name\":\"Language Recursive Text Splitter\",\"documentation\":\"https://docs.langflow.org/components/text-splitters#languagerecursivetextsplitter\",\"custom_fields\":{\"chunk_overlap\":null,\"chunk_size\":null,\"documents\":null,\"separator_type\":null},\"output_types\":[\"LanguageRecursiveTextSplitter\"],\"field_formatters\":{},\"beta\":true},\"RecursiveCharacterTextSplitter\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"The documents to split.\"},\"chunk_overlap\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":200,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chunk_overlap\",\"display_name\":\"Chunk Overlap\",\"advanced\":false,\"dynamic\":false,\"info\":\"The amount of overlap between chunks.\"},\"chunk_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":1000,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chunk_size\",\"display_name\":\"Chunk Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"The maximum length of each chunk.\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.schema import Document\\nfrom langflow.utils.util import build_loader_repr_from_documents\\n\\n\\nclass RecursiveCharacterTextSplitterComponent(CustomComponent):\\n    display_name: str = \\\"Recursive Character Text Splitter\\\"\\n    description: str = \\\"Split text into chunks of a specified length.\\\"\\n    documentation: str = \\\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"documents\\\": {\\n                \\\"display_name\\\": \\\"Documents\\\",\\n                \\\"info\\\": \\\"The documents to split.\\\",\\n            },\\n            \\\"separators\\\": {\\n                \\\"display_name\\\": \\\"Separators\\\",\\n                \\\"info\\\": 'The characters to split on.\\\\nIf left empty defaults to [\\\"\\\\\\\\n\\\\\\\\n\\\", \\\"\\\\\\\\n\\\", \\\" \\\", \\\"\\\"].',\\n                \\\"is_list\\\": True,\\n            },\\n            \\\"chunk_size\\\": {\\n                \\\"display_name\\\": \\\"Chunk Size\\\",\\n                \\\"info\\\": \\\"The maximum length of each chunk.\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 1000,\\n            },\\n            \\\"chunk_overlap\\\": {\\n                \\\"display_name\\\": \\\"Chunk Overlap\\\",\\n                \\\"info\\\": \\\"The amount of overlap between chunks.\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 200,\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        documents: list[Document],\\n        separators: Optional[list[str]] = None,\\n        chunk_size: Optional[int] = 1000,\\n        chunk_overlap: Optional[int] = 200,\\n    ) -> list[Document]:\\n        \\\"\\\"\\\"\\n        Split text into chunks of a specified length.\\n\\n        Args:\\n            separators (list[str]): The characters to split on.\\n            chunk_size (int): The maximum length of each chunk.\\n            chunk_overlap (int): The amount of overlap between chunks.\\n            length_function (function): The function to use to calculate the length of the text.\\n\\n        Returns:\\n            list[str]: The chunks of text.\\n        \\\"\\\"\\\"\\n        from langchain.text_splitter import RecursiveCharacterTextSplitter\\n\\n        if separators == \\\"\\\":\\n            separators = None\\n        elif separators:\\n            # check if the separators list has escaped characters\\n            # if there are escaped characters, unescape them\\n            separators = [x.encode().decode(\\\"unicode-escape\\\") for x in separators]\\n\\n        # Make sure chunk_size and chunk_overlap are ints\\n        if isinstance(chunk_size, str):\\n            chunk_size = int(chunk_size)\\n        if isinstance(chunk_overlap, str):\\n            chunk_overlap = int(chunk_overlap)\\n        splitter = RecursiveCharacterTextSplitter(\\n            separators=separators,\\n            chunk_size=chunk_size,\\n            chunk_overlap=chunk_overlap,\\n        )\\n\\n        docs = splitter.split_documents(documents)\\n        self.repr_value = build_loader_repr_from_documents(docs)\\n        return docs\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"separators\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"separators\",\"display_name\":\"Separators\",\"advanced\":false,\"dynamic\":false,\"info\":\"The characters to split on.\\nIf left empty defaults to [\\\"\\\\n\\\\n\\\", \\\"\\\\n\\\", \\\" \\\", \\\"\\\"].\"},\"_type\":\"CustomComponent\"},\"description\":\"Split text into chunks of a specified length.\",\"base_classes\":[\"Document\"],\"display_name\":\"Recursive Character Text Splitter\",\"documentation\":\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\",\"custom_fields\":{\"chunk_overlap\":null,\"chunk_size\":null,\"documents\":null,\"separators\":null},\"output_types\":[\"RecursiveCharacterTextSplitter\"],\"field_formatters\":{},\"beta\":true}},\"utilities\":{\"BingSearchAPIWrapper\":{\"template\":{\"bing_search_url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"bing_search_url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"bing_subscription_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"bing_subscription_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"password\":false,\"name\":\"k\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"BingSearchAPIWrapper\"},\"description\":\"Wrapper for Bing Search API.\",\"base_classes\":[\"BingSearchAPIWrapper\"],\"display_name\":\"BingSearchAPIWrapper\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"GoogleSearchAPIWrapper\":{\"template\":{\"google_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"google_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"google_cse_id\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"google_cse_id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"password\":false,\"name\":\"k\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_engine\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"search_engine\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"siterestrict\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"siterestrict\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"GoogleSearchAPIWrapper\"},\"description\":\"Wrapper for Google Search API.\",\"base_classes\":[\"GoogleSearchAPIWrapper\"],\"display_name\":\"GoogleSearchAPIWrapper\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"GoogleSerperAPIWrapper\":{\"template\":{\"aiosession\":{\"type\":\"ClientSession\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"aiosession\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"gl\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"us\",\"fileTypes\":[],\"password\":false,\"name\":\"gl\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"hl\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"en\",\"fileTypes\":[],\"password\":false,\"name\":\"hl\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"password\":false,\"name\":\"k\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"result_key_for_type\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{\\n  \\\"news\\\": \\\"news\\\",\\n  \\\"places\\\": \\\"places\\\",\\n  \\\"images\\\": \\\"images\\\",\\n  \\\"search\\\": \\\"organic\\\"\\n}\",\"fileTypes\":[],\"password\":true,\"name\":\"result_key_for_type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"serper_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"serper_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tbs\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tbs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"type\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"search\",\"fileTypes\":[],\"password\":false,\"name\":\"type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"GoogleSerperAPIWrapper\"},\"description\":\"Wrapper around the Serper.dev Google Search API.\",\"base_classes\":[\"GoogleSerperAPIWrapper\"],\"display_name\":\"GoogleSerperAPIWrapper\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"SearxSearchWrapper\":{\"template\":{\"aiosession\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"aiosession\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"categories\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"value\":[],\"fileTypes\":[],\"password\":false,\"name\":\"categories\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"engines\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"value\":[],\"fileTypes\":[],\"password\":false,\"name\":\"engines\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"headers\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"fileTypes\":[],\"password\":false,\"name\":\"headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"password\":false,\"name\":\"k\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"params\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"params\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"query_suffix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"password\":false,\"name\":\"query_suffix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"searx_host\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"password\":false,\"name\":\"searx_host\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"unsecure\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"unsecure\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"SearxSearchWrapper\"},\"description\":\"Wrapper for Searx API.\",\"base_classes\":[\"SearxSearchWrapper\"],\"display_name\":\"SearxSearchWrapper\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"SerpAPIWrapper\":{\"template\":{\"aiosession\":{\"type\":\"ClientSession\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"aiosession\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"params\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"{\\n  \\\"engine\\\": \\\"google\\\",\\n  \\\"google_domain\\\": \\\"google.com\\\",\\n  \\\"gl\\\": \\\"us\\\",\\n  \\\"hl\\\": \\\"en\\\"\\n}\",\"fileTypes\":[],\"password\":false,\"name\":\"params\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_engine\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"search_engine\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"serpapi_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"serpapi_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"SerpAPIWrapper\"},\"description\":\"Wrapper around SerpAPI.\",\"base_classes\":[\"SerpAPIWrapper\"],\"display_name\":\"SerpAPIWrapper\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"WikipediaAPIWrapper\":{\"template\":{\"doc_content_chars_max\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":4000,\"fileTypes\":[],\"password\":false,\"name\":\"doc_content_chars_max\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"lang\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"en\",\"fileTypes\":[],\"password\":false,\"name\":\"lang\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"load_all_available_meta\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"load_all_available_meta\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"top_k_results\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":3,\"fileTypes\":[],\"password\":false,\"name\":\"top_k_results\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"wiki_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"wiki_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"WikipediaAPIWrapper\"},\"description\":\"Wrapper around WikipediaAPI.\",\"base_classes\":[\"WikipediaAPIWrapper\"],\"display_name\":\"WikipediaAPIWrapper\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"WolframAlphaAPIWrapper\":{\"template\":{\"wolfram_alpha_appid\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"wolfram_alpha_appid\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"wolfram_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"wolfram_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"WolframAlphaAPIWrapper\"},\"description\":\"Wrapper for Wolfram Alpha.\",\"base_classes\":[\"WolframAlphaAPIWrapper\"],\"display_name\":\"WolframAlphaAPIWrapper\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"GetRequest\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langchain.schema import Document\\nfrom langflow.services.database.models.base import orjson_dumps\\nimport requests\\nfrom typing import Optional\\n\\n\\nclass GetRequest(CustomComponent):\\n    display_name: str = \\\"GET Request\\\"\\n    description: str = \\\"Make a GET request to the given URL.\\\"\\n    output_types: list[str] = [\\\"Document\\\"]\\n    documentation: str = \\\"https://docs.langflow.org/components/utilities#get-request\\\"\\n    beta: bool = True\\n    field_config = {\\n        \\\"url\\\": {\\n            \\\"display_name\\\": \\\"URL\\\",\\n            \\\"info\\\": \\\"The URL to make the request to\\\",\\n            \\\"is_list\\\": True,\\n        },\\n        \\\"headers\\\": {\\n            \\\"display_name\\\": \\\"Headers\\\",\\n            \\\"info\\\": \\\"The headers to send with the request.\\\",\\n        },\\n        \\\"code\\\": {\\\"show\\\": False},\\n        \\\"timeout\\\": {\\n            \\\"display_name\\\": \\\"Timeout\\\",\\n            \\\"field_type\\\": \\\"int\\\",\\n            \\\"info\\\": \\\"The timeout to use for the request.\\\",\\n            \\\"value\\\": 5,\\n        },\\n    }\\n\\n    def get_document(self, session: requests.Session, url: str, headers: Optional[dict], timeout: int) -> Document:\\n        try:\\n            response = session.get(url, headers=headers, timeout=int(timeout))\\n            try:\\n                response_json = response.json()\\n                result = orjson_dumps(response_json, indent_2=False)\\n            except Exception:\\n                result = response.text\\n            self.repr_value = result\\n            return Document(\\n                page_content=result,\\n                metadata={\\n                    \\\"source\\\": url,\\n                    \\\"headers\\\": headers,\\n                    \\\"status_code\\\": response.status_code,\\n                },\\n            )\\n        except requests.Timeout:\\n            return Document(\\n                page_content=\\\"Request Timed Out\\\",\\n                metadata={\\\"source\\\": url, \\\"headers\\\": headers, \\\"status_code\\\": 408},\\n            )\\n        except Exception as exc:\\n            return Document(\\n                page_content=str(exc),\\n                metadata={\\\"source\\\": url, \\\"headers\\\": headers, \\\"status_code\\\": 500},\\n            )\\n\\n    def build(\\n        self,\\n        url: str,\\n        headers: Optional[dict] = None,\\n        timeout: int = 5,\\n    ) -> list[Document]:\\n        if headers is None:\\n            headers = {}\\n        urls = url if isinstance(url, list) else [url]\\n        with requests.Session() as session:\\n            documents = [self.get_document(session, u, headers, timeout) for u in urls]\\n            self.repr_value = documents\\n        return documents\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"headers\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"headers\",\"display_name\":\"Headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"The headers to send with the request.\"},\"timeout\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":5,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"timeout\",\"display_name\":\"Timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"The timeout to use for the request.\"},\"url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"The URL to make the request to\"},\"_type\":\"CustomComponent\"},\"description\":\"Make a GET request to the given URL.\",\"base_classes\":[\"Document\"],\"display_name\":\"GET Request\",\"documentation\":\"https://docs.langflow.org/components/utilities#get-request\",\"custom_fields\":{\"headers\":null,\"timeout\":null,\"url\":null},\"output_types\":[\"GetRequest\"],\"field_formatters\":{},\"beta\":true},\"JSONDocumentBuilder\":{\"template\":{\"document\":{\"type\":\"Document\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"document\",\"display_name\":\"Document\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"### JSON Document Builder\\n\\n# Build a Document containing a JSON object using a key and another Document page content.\\n\\n# **Params**\\n\\n# - **Key:** The key to use for the JSON object.\\n# - **Document:** The Document page to use for the JSON object.\\n\\n# **Output**\\n\\n# - **Document:** The Document containing the JSON object.\\n\\nfrom langchain.schema import Document\\nfrom langflow import CustomComponent\\nfrom langflow.services.database.models.base import orjson_dumps\\n\\n\\nclass JSONDocumentBuilder(CustomComponent):\\n    display_name: str = \\\"JSON Document Builder\\\"\\n    description: str = \\\"Build a Document containing a JSON object using a key and another Document page content.\\\"\\n    output_types: list[str] = [\\\"Document\\\"]\\n    beta = True\\n    documentation: str = \\\"https://docs.langflow.org/components/utilities#json-document-builder\\\"\\n\\n    field_config = {\\n        \\\"key\\\": {\\\"display_name\\\": \\\"Key\\\"},\\n        \\\"document\\\": {\\\"display_name\\\": \\\"Document\\\"},\\n    }\\n\\n    def build(\\n        self,\\n        key: str,\\n        document: Document,\\n    ) -> Document:\\n        documents = None\\n        if isinstance(document, list):\\n            documents = [\\n                Document(page_content=orjson_dumps({key: doc.page_content}, indent_2=False)) for doc in document\\n            ]\\n        elif isinstance(document, Document):\\n            documents = Document(page_content=orjson_dumps({key: document.page_content}, indent_2=False))\\n        else:\\n            raise TypeError(f\\\"Expected Document or list of Documents, got {type(document)}\\\")\\n        self.repr_value = documents\\n        return documents\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"key\",\"display_name\":\"Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Build a Document containing a JSON object using a key and another Document page content.\",\"base_classes\":[\"Document\"],\"display_name\":\"JSON Document Builder\",\"documentation\":\"https://docs.langflow.org/components/utilities#json-document-builder\",\"custom_fields\":{\"document\":null,\"key\":null},\"output_types\":[\"JSONDocumentBuilder\"],\"field_formatters\":{},\"beta\":true},\"UpdateRequest\":{\"template\":{\"document\":{\"type\":\"Document\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"document\",\"display_name\":\"Document\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import List, Optional\\nimport requests\\nfrom langflow import CustomComponent\\nfrom langchain.schema import Document\\nfrom langflow.services.database.models.base import orjson_dumps\\n\\n\\nclass UpdateRequest(CustomComponent):\\n    display_name: str = \\\"Update Request\\\"\\n    description: str = \\\"Make a PATCH request to the given URL.\\\"\\n    output_types: list[str] = [\\\"Document\\\"]\\n    documentation: str = \\\"https://docs.langflow.org/components/utilities#update-request\\\"\\n    beta: bool = True\\n    field_config = {\\n        \\\"url\\\": {\\\"display_name\\\": \\\"URL\\\", \\\"info\\\": \\\"The URL to make the request to.\\\"},\\n        \\\"headers\\\": {\\n            \\\"display_name\\\": \\\"Headers\\\",\\n            \\\"field_type\\\": \\\"NestedDict\\\",\\n            \\\"info\\\": \\\"The headers to send with the request.\\\",\\n        },\\n        \\\"code\\\": {\\\"show\\\": False},\\n        \\\"document\\\": {\\\"display_name\\\": \\\"Document\\\"},\\n        \\\"method\\\": {\\n            \\\"display_name\\\": \\\"Method\\\",\\n            \\\"field_type\\\": \\\"str\\\",\\n            \\\"info\\\": \\\"The HTTP method to use.\\\",\\n            \\\"options\\\": [\\\"PATCH\\\", \\\"PUT\\\"],\\n            \\\"value\\\": \\\"PATCH\\\",\\n        },\\n    }\\n\\n    def update_document(\\n        self,\\n        session: requests.Session,\\n        document: Document,\\n        url: str,\\n        headers: Optional[dict] = None,\\n        method: str = \\\"PATCH\\\",\\n    ) -> Document:\\n        try:\\n            if method == \\\"PATCH\\\":\\n                response = session.patch(url, headers=headers, data=document.page_content)\\n            elif method == \\\"PUT\\\":\\n                response = session.put(url, headers=headers, data=document.page_content)\\n            else:\\n                raise ValueError(f\\\"Unsupported method: {method}\\\")\\n            try:\\n                response_json = response.json()\\n                result = orjson_dumps(response_json, indent_2=False)\\n            except Exception:\\n                result = response.text\\n            self.repr_value = result\\n            return Document(\\n                page_content=result,\\n                metadata={\\n                    \\\"source\\\": url,\\n                    \\\"headers\\\": headers,\\n                    \\\"status_code\\\": response.status_code,\\n                },\\n            )\\n        except Exception as exc:\\n            return Document(\\n                page_content=str(exc),\\n                metadata={\\\"source\\\": url, \\\"headers\\\": headers, \\\"status_code\\\": 500},\\n            )\\n\\n    def build(\\n        self,\\n        method: str,\\n        document: Document,\\n        url: str,\\n        headers: Optional[dict] = None,\\n    ) -> List[Document]:\\n        if headers is None:\\n            headers = {}\\n\\n        if not isinstance(document, list) and isinstance(document, Document):\\n            documents: list[Document] = [document]\\n        elif isinstance(document, list) and all(isinstance(doc, Document) for doc in document):\\n            documents = document\\n        else:\\n            raise ValueError(\\\"document must be a Document or a list of Documents\\\")\\n\\n        with requests.Session() as session:\\n            documents = [self.update_document(session, doc, url, headers, method) for doc in documents]\\n            self.repr_value = documents\\n        return documents\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"headers\":{\"type\":\"NestedDict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"headers\",\"display_name\":\"Headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"The headers to send with the request.\"},\"method\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"PATCH\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"PATCH\",\"PUT\"],\"name\":\"method\",\"display_name\":\"Method\",\"advanced\":false,\"dynamic\":false,\"info\":\"The HTTP method to use.\"},\"url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"The URL to make the request to.\"},\"_type\":\"CustomComponent\"},\"description\":\"Make a PATCH request to the given URL.\",\"base_classes\":[\"Document\"],\"display_name\":\"Update Request\",\"documentation\":\"https://docs.langflow.org/components/utilities#update-request\",\"custom_fields\":{\"document\":null,\"headers\":null,\"method\":null,\"url\":null},\"output_types\":[\"UpdateRequest\"],\"field_formatters\":{},\"beta\":true},\"PostRequest\":{\"template\":{\"document\":{\"type\":\"Document\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"document\",\"display_name\":\"Document\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langchain.schema import Document\\nfrom langflow.services.database.models.base import orjson_dumps\\nimport requests\\nfrom typing import Optional\\n\\n\\nclass PostRequest(CustomComponent):\\n    display_name: str = \\\"POST Request\\\"\\n    description: str = \\\"Make a POST request to the given URL.\\\"\\n    output_types: list[str] = [\\\"Document\\\"]\\n    documentation: str = \\\"https://docs.langflow.org/components/utilities#post-request\\\"\\n    beta: bool = True\\n    field_config = {\\n        \\\"url\\\": {\\\"display_name\\\": \\\"URL\\\", \\\"info\\\": \\\"The URL to make the request to.\\\"},\\n        \\\"headers\\\": {\\n            \\\"display_name\\\": \\\"Headers\\\",\\n            \\\"info\\\": \\\"The headers to send with the request.\\\",\\n        },\\n        \\\"code\\\": {\\\"show\\\": False},\\n        \\\"document\\\": {\\\"display_name\\\": \\\"Document\\\"},\\n    }\\n\\n    def post_document(\\n        self,\\n        session: requests.Session,\\n        document: Document,\\n        url: str,\\n        headers: Optional[dict] = None,\\n    ) -> Document:\\n        try:\\n            response = session.post(url, headers=headers, data=document.page_content)\\n            try:\\n                response_json = response.json()\\n                result = orjson_dumps(response_json, indent_2=False)\\n            except Exception:\\n                result = response.text\\n            self.repr_value = result\\n            return Document(\\n                page_content=result,\\n                metadata={\\n                    \\\"source\\\": url,\\n                    \\\"headers\\\": headers,\\n                    \\\"status_code\\\": response,\\n                },\\n            )\\n        except Exception as exc:\\n            return Document(\\n                page_content=str(exc),\\n                metadata={\\n                    \\\"source\\\": url,\\n                    \\\"headers\\\": headers,\\n                    \\\"status_code\\\": 500,\\n                },\\n            )\\n\\n    def build(\\n        self,\\n        document: Document,\\n        url: str,\\n        headers: Optional[dict] = None,\\n    ) -> list[Document]:\\n        if headers is None:\\n            headers = {}\\n\\n        if not isinstance(document, list) and isinstance(document, Document):\\n            documents: list[Document] = [document]\\n        elif isinstance(document, list) and all(isinstance(doc, Document) for doc in document):\\n            documents = document\\n        else:\\n            raise ValueError(\\\"document must be a Document or a list of Documents\\\")\\n\\n        with requests.Session() as session:\\n            documents = [self.post_document(session, doc, url, headers) for doc in documents]\\n            self.repr_value = documents\\n        return documents\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"headers\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"headers\",\"display_name\":\"Headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"The headers to send with the request.\"},\"url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"The URL to make the request to.\"},\"_type\":\"CustomComponent\"},\"description\":\"Make a POST request to the given URL.\",\"base_classes\":[\"Document\"],\"display_name\":\"POST Request\",\"documentation\":\"https://docs.langflow.org/components/utilities#post-request\",\"custom_fields\":{\"document\":null,\"headers\":null,\"url\":null},\"output_types\":[\"PostRequest\"],\"field_formatters\":{},\"beta\":true}},\"output_parsers\":{\"ResponseSchema\":{\"template\":{\"description\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"fileTypes\":[],\"password\":false,\"name\":\"description\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"type\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"string\",\"fileTypes\":[],\"password\":false,\"name\":\"type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ResponseSchema\"},\"description\":\"A schema for a response from a structured output parser.\",\"base_classes\":[\"ResponseSchema\"],\"display_name\":\"ResponseSchema\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/output_parsers/structured\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"StructuredOutputParser\":{\"template\":{\"response_schemas\":{\"type\":\"ResponseSchema\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"response_schemas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"StructuredOutputParser\"},\"description\":\"\",\"base_classes\":[\"BaseLLMOutputParser\",\"BaseOutputParser\",\"StructuredOutputParser\"],\"display_name\":\"StructuredOutputParser\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/output_parsers/structured\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false}},\"retrievers\":{\"MultiQueryRetriever\":{\"template\":{\"llm\":{\"type\":\"BaseLLM\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"prompt\":{\"type\":\"PromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{\"input_variables\":[\"question\"],\"input_types\":{},\"output_parser\":null,\"partial_variables\":{},\"template\":\"You are an AI language model assistant. Your task is \\n    to generate 3 different versions of the given user \\n    question to retrieve relevant documents from a vector  database. \\n    By generating multiple perspectives on the user question, \\n    your goal is to help the user overcome some of the limitations \\n    of distance-based similarity search. Provide these alternative \\n    questions separated by newlines. Original question: {question}\",\"template_format\":\"f-string\",\"validate_template\":false},\"fileTypes\":[],\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"retriever\":{\"type\":\"BaseRetriever\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"include_original\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"include_original\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"parser_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"lines\",\"fileTypes\":[],\"password\":false,\"name\":\"parser_key\",\"display_name\":\"Parser Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"MultiQueryRetriever\"},\"description\":\"Initialize from llm using default template.\",\"base_classes\":[\"MultiQueryRetriever\",\"BaseRetriever\"],\"display_name\":\"MultiQueryRetriever\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/retrievers/how_to/MultiQueryRetriever\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"AmazonKendra\":{\"template\":{\"attribute_filter\":{\"type\":\"code\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"attribute_filter\",\"display_name\":\"Attribute Filter\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.retrievers import AmazonKendraRetriever\\nfrom langchain.schema import BaseRetriever\\n\\n\\nclass AmazonKendraRetrieverComponent(CustomComponent):\\n    display_name: str = \\\"Amazon Kendra Retriever\\\"\\n    description: str = \\\"Retriever that uses the Amazon Kendra API.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"index_id\\\": {\\\"display_name\\\": \\\"Index ID\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"Region Name\\\"},\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"attribute_filter\\\": {\\n                \\\"display_name\\\": \\\"Attribute Filter\\\",\\n                \\\"field_type\\\": \\\"code\\\",\\n            },\\n            \\\"top_k\\\": {\\\"display_name\\\": \\\"Top K\\\", \\\"field_type\\\": \\\"int\\\"},\\n            \\\"user_context\\\": {\\n                \\\"display_name\\\": \\\"User Context\\\",\\n                \\\"field_type\\\": \\\"code\\\",\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        index_id: str,\\n        top_k: int = 3,\\n        region_name: Optional[str] = None,\\n        credentials_profile_name: Optional[str] = None,\\n        attribute_filter: Optional[dict] = None,\\n        user_context: Optional[dict] = None,\\n    ) -> BaseRetriever:\\n        try:\\n            output = AmazonKendraRetriever(\\n                index_id=index_id,\\n                top_k=top_k,\\n                region_name=region_name,\\n                credentials_profile_name=credentials_profile_name,\\n                attribute_filter=attribute_filter,\\n                user_context=user_context,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonKendra API.\\\") from e\\n        return output\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"credentials_profile_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"index_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"index_id\",\"display_name\":\"Index ID\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"region_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"region_name\",\"display_name\":\"Region Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"top_k\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":3,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_k\",\"display_name\":\"Top K\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"user_context\":{\"type\":\"code\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"user_context\",\"display_name\":\"User Context\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Retriever that uses the Amazon Kendra API.\",\"base_classes\":[\"BaseRetriever\"],\"display_name\":\"Amazon Kendra Retriever\",\"documentation\":\"\",\"custom_fields\":{\"attribute_filter\":null,\"credentials_profile_name\":null,\"index_id\":null,\"region_name\":null,\"top_k\":null,\"user_context\":null},\"output_types\":[\"AmazonKendra\"],\"field_formatters\":{},\"beta\":true},\"MetalRetriever\":{\"template\":{\"api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_key\",\"display_name\":\"API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"client_id\",\"display_name\":\"Client ID\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.retrievers import MetalRetriever\\nfrom langchain.schema import BaseRetriever\\nfrom metal_sdk.metal import Metal  # type: ignore\\n\\n\\nclass MetalRetrieverComponent(CustomComponent):\\n    display_name: str = \\\"Metal Retriever\\\"\\n    description: str = \\\"Retriever that uses the Metal API.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"api_key\\\": {\\\"display_name\\\": \\\"API Key\\\", \\\"password\\\": True},\\n            \\\"client_id\\\": {\\\"display_name\\\": \\\"Client ID\\\", \\\"password\\\": True},\\n            \\\"index_id\\\": {\\\"display_name\\\": \\\"Index ID\\\"},\\n            \\\"params\\\": {\\\"display_name\\\": \\\"Parameters\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(self, api_key: str, client_id: str, index_id: str, params: Optional[dict] = None) -> BaseRetriever:\\n        try:\\n            metal = Metal(api_key=api_key, client_id=client_id, index_id=index_id)\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to Metal API.\\\") from e\\n        return MetalRetriever(client=metal, params=params or {})\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"index_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"index_id\",\"display_name\":\"Index ID\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"params\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"params\",\"display_name\":\"Parameters\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Retriever that uses the Metal API.\",\"base_classes\":[\"BaseRetriever\"],\"display_name\":\"Metal Retriever\",\"documentation\":\"\",\"custom_fields\":{\"api_key\":null,\"client_id\":null,\"index_id\":null,\"params\":null},\"output_types\":[\"MetalRetriever\"],\"field_formatters\":{},\"beta\":true}},\"custom_components\":{\"CustomComponent\":{\"template\":{\"param\":{\"type\":\"Data\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"param\",\"display_name\":\"Parameter\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\n\\nclass Component(CustomComponent):\\n    documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n    def build_config(self):\\n        return {\\\"param\\\": {\\\"display_name\\\": \\\"Parameter\\\"}}\\n\\n    def build(self, param: Data) -> Data:\\n        return param\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"base_classes\":[\"Data\"],\"display_name\":\"CustomComponent\",\"documentation\":\"http://docs.langflow.org/components/custom\",\"custom_fields\":{\"param\":null},\"output_types\":[\"CustomComponent\"],\"field_formatters\":{},\"beta\":true}}}"
-          },
-          "headersSize": -1,
-          "bodySize": -1,
-          "redirectURL": ""
-        },
-        "cache": {},
-        "timings": { "send": -1, "wait": -1, "receive": 0.901 }
-      },
-      {
-        "startedDateTime": "2023-12-11T18:54:58.423Z",
-        "time": 0.527,
-        "request": {
-          "method": "GET",
-          "url": "http://localhost:3000/api/v1/auto_login",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Accept", "value": "application/json, text/plain, */*" },
-            { "name": "Accept-Encoding", "value": "gzip, deflate, br" },
-            { "name": "Accept-Language", "value": "en-US,en;q=0.9" },
-            { "name": "Authorization", "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20" },
-            { "name": "Connection", "value": "keep-alive" },
-            { "name": "Cookie", "value": "access_tkn_lflw=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20; refresh_tkn_lflw=auto" },
-            { "name": "Host", "value": "localhost:3000" },
-            { "name": "Referer", "value": "http://localhost:3000/flows" },
-            { "name": "Sec-Fetch-Dest", "value": "empty" },
-            { "name": "Sec-Fetch-Mode", "value": "cors" },
-            { "name": "Sec-Fetch-Site", "value": "same-origin" },
-            { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" },
-            { "name": "sec-ch-ua", "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" },
-            { "name": "sec-ch-ua-mobile", "value": "?0" },
-            { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
-          ],
-          "queryString": [],
-          "headersSize": -1,
-          "bodySize": -1
-        },
-        "response": {
-          "status": 200,
-          "statusText": "OK",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Access-Control-Allow-Origin", "value": "*" },
-            { "name": "connection", "value": "close" },
-            { "name": "content-length", "value": "227" },
-            { "name": "content-type", "value": "application/json" },
-            { "name": "date", "value": "Mon, 11 Dec 2023 18:54:58 GMT" },
-            { "name": "server", "value": "uvicorn" }
-          ],
-          "content": {
-            "size": -1,
-            "mimeType": "application/json",
-            "text": "{\"access_token\":\"eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20\",\"refresh_token\":null,\"token_type\":\"bearer\"}"
-          },
-          "headersSize": -1,
-          "bodySize": -1,
-          "redirectURL": ""
-        },
-        "cache": {},
-        "timings": { "send": -1, "wait": -1, "receive": 0.527 }
-      },
-      {
-        "startedDateTime": "2023-12-11T18:55:08.881Z",
-        "time": 0.635,
-        "request": {
-          "method": "GET",
-          "url": "http://localhost:3000/api/v1/build/2920dde2-5c24-4fe0-9c06-ef86b5a16a99/status",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Accept", "value": "application/json, text/plain, */*" },
-            { "name": "Accept-Encoding", "value": "gzip, deflate, br" },
-            { "name": "Accept-Language", "value": "en-US,en;q=0.9" },
-            { "name": "Authorization", "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20" },
-            { "name": "Connection", "value": "keep-alive" },
-            { "name": "Cookie", "value": "access_tkn_lflw=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20; refresh_tkn_lflw=auto" },
-            { "name": "Host", "value": "localhost:3000" },
-            { "name": "Referer", "value": "http://localhost:3000/flow/2920dde2-5c24-4fe0-9c06-ef86b5a16a99" },
-            { "name": "Sec-Fetch-Dest", "value": "empty" },
-            { "name": "Sec-Fetch-Mode", "value": "cors" },
-            { "name": "Sec-Fetch-Site", "value": "same-origin" },
-            { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" },
-            { "name": "sec-ch-ua", "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" },
-            { "name": "sec-ch-ua-mobile", "value": "?0" },
-            { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
-          ],
-          "queryString": [],
-          "headersSize": -1,
-          "bodySize": -1
-        },
-        "response": {
-          "status": 200,
-          "statusText": "OK",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Access-Control-Allow-Origin", "value": "*" },
-            { "name": "connection", "value": "close" },
-            { "name": "content-length", "value": "15" },
-            { "name": "content-type", "value": "application/json" },
-            { "name": "date", "value": "Mon, 11 Dec 2023 18:55:08 GMT" },
-            { "name": "server", "value": "uvicorn" }
-          ],
-          "content": {
-            "size": -1,
-            "mimeType": "application/json",
-            "text": "{\"built\":false}"
-          },
-          "headersSize": -1,
-          "bodySize": -1,
-          "redirectURL": ""
-        },
-        "cache": {},
-        "timings": { "send": -1, "wait": -1, "receive": 0.635 }
-      },
-      {
-        "startedDateTime": "2023-12-11T18:55:08.881Z",
-        "time": 1.309,
-        "request": {
-          "method": "GET",
-          "url": "http://localhost:3000/api/v1/flows/",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Accept", "value": "application/json, text/plain, */*" },
-            { "name": "Accept-Encoding", "value": "gzip, deflate, br" },
-            { "name": "Accept-Language", "value": "en-US,en;q=0.9" },
-            { "name": "Authorization", "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20" },
-            { "name": "Connection", "value": "keep-alive" },
-            { "name": "Cookie", "value": "access_tkn_lflw=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20; refresh_tkn_lflw=auto" },
-            { "name": "Host", "value": "localhost:3000" },
-            { "name": "Referer", "value": "http://localhost:3000/flow/2920dde2-5c24-4fe0-9c06-ef86b5a16a99" },
-            { "name": "Sec-Fetch-Dest", "value": "empty" },
-            { "name": "Sec-Fetch-Mode", "value": "cors" },
-            { "name": "Sec-Fetch-Site", "value": "same-origin" },
-            { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" },
-            { "name": "sec-ch-ua", "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" },
-            { "name": "sec-ch-ua-mobile", "value": "?0" },
-            { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
-          ],
-          "queryString": [],
-          "headersSize": -1,
-          "bodySize": -1
-        },
-        "response": {
-          "status": 200,
-          "statusText": "OK",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Access-Control-Allow-Origin", "value": "*" },
-            { "name": "connection", "value": "close" },
-            { "name": "content-length", "value": "375696" },
-            { "name": "content-type", "value": "application/json" },
-            { "name": "date", "value": "Mon, 11 Dec 2023 18:55:08 GMT" },
-            { "name": "server", "value": "uvicorn" }
-          ],
-          "content": {
-            "size": -1,
-            "mimeType": "application/json",
-            "text": "[{\"name\":\"Awesome Euclid\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":374,\"id\":\"PromptTemplate-m2yFu\",\"type\":\"genericNode\",\"position\":{\"x\":462.6456058272081,\"y\":1033.9314297130313},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"transcription\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"create an image prompt based on the song's lyrics to be used as the album cover of this song:\\n\\nlyrics:\\n{transcription}\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"transcription\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"transcription\",\"display_name\":\"transcription\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"PromptTemplate\",\"StringPromptTemplate\",\"BasePromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"transcription\"],\"template\":[\"transcription\",\"question\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-m2yFu\"},\"selected\":false,\"positionAbsolute\":{\"x\":462.6456058272081,\"y\":1033.9314297130313},\"dragging\":false},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-urapv\",\"type\":\"genericNode\",\"position\":{\"x\":189.94856095084924,\"y\":-85.06556385338186},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-urapv\"},\"selected\":false,\"positionAbsolute\":{\"x\":189.94856095084924,\"y\":-85.06556385338186},\"dragging\":false},{\"width\":384,\"height\":806,\"id\":\"CustomComponent-IEIUl\",\"type\":\"genericNode\",\"position\":{\"x\":2364.865919667005,\"y\":88.43094097025096},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nfrom platformdirs import user_cache_dir\\nimport base64\\nfrom PIL import Image\\nfrom io import BytesIO\\nfrom openai import OpenAI\\nfrom pathlib import Path\\n\\nclass Component(CustomComponent):\\n    display_name: str = \\\"Image generator\\\"\\n    description: str = \\\"generate images using Dall-E\\\"\\n    documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n    def build_config(self):\\n        return {\\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\",\\\"input_types\\\":[\\\"str\\\"]},\\n        \\\"api_key\\\":{\\\"display_name\\\":\\\"OpenAI API key\\\",\\\"password\\\":True},\\n        \\\"model\\\":{\\\"display_name\\\":\\\"Model name\\\",\\\"advanced\\\":True,\\\"options\\\":[\\\"dall-e-2\\\",\\\"dall-e-3\\\"], \\\"value\\\":\\\"dall-e-3\\\"},\\n        \\\"file_name\\\":{\\\"display_name\\\":\\\"File Name\\\"},\\n        \\\"output_format\\\":{\\\"display_name\\\":\\\"Output format\\\",\\\"options\\\":[\\\"jpeg\\\",\\\"png\\\"],\\\"value\\\":\\\"jpeg\\\"},\\n        \\\"width\\\":{\\\"display_name\\\":\\\"Width\\\" ,\\\"value\\\":1024},\\n        \\\"height\\\":{\\\"display_name\\\":\\\"Height\\\", \\\"value\\\":1024}\\n        }\\n\\n    def build(self, prompt:str,api_key:str,model:str,file_name:str,output_format:str,width:int,height:int):\\n        client = OpenAI(api_key=api_key)\\n        cache_dir = Path(user_cache_dir(\\\"langflow\\\"))\\n        images_dir = cache_dir / \\\"images\\\"\\n        images_dir.mkdir(parents=True, exist_ok=True)\\n        image_path = images_dir / f\\\"{file_name}.{output_format}\\\"\\n        response = client.images.generate(\\n          model=model,\\n          prompt=prompt,\\n          size=f\\\"{height}x{width}\\\",\\n          response_format=\\\"b64_json\\\",\\n          n=1,\\n        )\\n        # Decode base64-encoded image string\\n        binary_data = base64.b64decode(response.data[0].b64_json)\\n        # Create PIL Image object from binary image data\\n        image_pil = Image.open(BytesIO(binary_data))\\n        image_pil.save(image_path, format=output_format.upper())\\n        return \\\"\\\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"api_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"api_key\",\"display_name\":\"OpenAI API key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"file_name\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"file_name\",\"display_name\":\"File Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"album\"},\"height\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1024,\"password\":false,\"name\":\"height\",\"display_name\":\"Height\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"dall-e-3\",\"password\":false,\"options\":[\"dall-e-2\",\"dall-e-3\"],\"name\":\"model\",\"display_name\":\"Model name\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"output_format\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"jpeg\",\"password\":false,\"options\":[\"jpeg\",\"png\"],\"name\":\"output_format\",\"display_name\":\"Output format\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"input_types\":[\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"width\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1024,\"password\":false,\"name\":\"width\",\"display_name\":\"Width\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false}},\"description\":\"generate images using Dall-E\",\"base_classes\":[\"Data\"],\"display_name\":\"Image generator\",\"custom_fields\":{\"api_key\":null,\"file_name\":null,\"height\":null,\"model\":null,\"output_format\":null,\"prompt\":null,\"width\":null},\"output_types\":[\"Data\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-IEIUl\"},\"selected\":false,\"positionAbsolute\":{\"x\":2364.865919667005,\"y\":88.43094097025096}},{\"width\":384,\"height\":338,\"id\":\"LLMChain-KlJb3\",\"type\":\"genericNode\",\"position\":{\"x\":1242.9851164540805,\"y\":-139.74634696823108},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-KlJb3\"},\"selected\":false,\"positionAbsolute\":{\"x\":1242.9851164540805,\"y\":-139.74634696823108},\"dragging\":false},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-bCuc0\",\"type\":\"genericNode\",\"position\":{\"x\":1747.8107777342625,\"y\":319.13729017446667},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\n\\nclass Component(CustomComponent):\\n    display_name: str = \\\"Custom Component\\\"\\n    description: str = \\\"Create any custom component you want!\\\"\\n    documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n    def build_config(self):\\n        return {\\\"param\\\": {\\\"display_name\\\": \\\"Parameter\\\"}}\\n\\n    def build(self, param: Chain) -> str:\\n        result = param.run({})\\n        self.status = result\\n        return result\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"param\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"param\",\"display_name\":\"Parameter\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Chain\",\"list\":false}},\"description\":\"Create any custom component you want!\",\"base_classes\":[\"str\"],\"display_name\":\"Custom Component\",\"custom_fields\":{\"param\":null},\"output_types\":[\"str\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-bCuc0\"},\"selected\":false,\"positionAbsolute\":{\"x\":1747.8107777342625,\"y\":319.13729017446667}}],\"edges\":[{\"source\":\"LLMChain-KlJb3\",\"target\":\"CustomComponent-bCuc0\",\"sourceHandle\":\"{œbaseClassesœ:[œChainœ,œCallableœ],œdataTypeœ:œLLMChainœ,œidœ:œLLMChain-KlJb3œ}\",\"targetHandle\":\"{œfieldNameœ:œparamœ,œidœ:œCustomComponent-bCuc0œ,œinputTypesœ:null,œtypeœ:œChainœ}\",\"id\":\"reactflow__edge-LLMChain-KlJb3{œbaseClassesœ:[œChainœ,œCallableœ],œdataTypeœ:œLLMChainœ,œidœ:œLLMChain-KlJb3œ}-CustomComponent-bCuc0{œfieldNameœ:œparamœ,œidœ:œCustomComponent-bCuc0œ,œinputTypesœ:null,œtypeœ:œChainœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"param\",\"id\":\"CustomComponent-bCuc0\",\"inputTypes\":null,\"type\":\"Chain\"},\"sourceHandle\":{\"baseClasses\":[\"Chain\",\"Callable\"],\"dataType\":\"LLMChain\",\"id\":\"LLMChain-KlJb3\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"ChatOpenAI-urapv\",\"target\":\"LLMChain-KlJb3\",\"sourceHandle\":\"{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-urapvœ}\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"id\":\"reactflow__edge-ChatOpenAI-urapv{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-urapvœ}-LLMChain-KlJb3{œfieldNameœ:œllmœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-KlJb3\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-urapv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"PromptTemplate-m2yFu\",\"target\":\"LLMChain-KlJb3\",\"sourceHandle\":\"{œbaseClassesœ:[œPromptTemplateœ,œStringPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-m2yFuœ}\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"id\":\"reactflow__edge-PromptTemplate-m2yFu{œbaseClassesœ:[œPromptTemplateœ,œStringPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-m2yFuœ}-LLMChain-KlJb3{œfieldNameœ:œpromptœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-KlJb3\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"PromptTemplate\",\"StringPromptTemplate\",\"BasePromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-m2yFu\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"CustomComponent-bCuc0\",\"target\":\"CustomComponent-IEIUl\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-bCuc0œ}\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œCustomComponent-IEIUlœ,œinputTypesœ:[œstrœ],œtypeœ:œstrœ}\",\"id\":\"reactflow__edge-CustomComponent-bCuc0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-bCuc0œ}-CustomComponent-IEIUl{œfieldNameœ:œpromptœ,œidœ:œCustomComponent-IEIUlœ,œinputTypesœ:[œstrœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"CustomComponent-IEIUl\",\"inputTypes\":[\"str\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-bCuc0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"selected\":false}],\"viewport\":{\"x\":92.23454077990459,\"y\":183.8125619056221,\"zoom\":0.6070974421975234}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:33:18.503954\",\"folder\":null,\"id\":\"fe142ce5-32dc-4955-b186-672ced662f13\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Darwin\",\"description\":\"Conversation Catalyst Engine.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":626,\"id\":\"OpenAI-3ZVDh\",\"type\":\"genericNode\",\"position\":{\"x\":-4.0041891741949485,\"y\":-114.02615182719649},\"data\":{\"type\":\"OpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"batch_size\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":20,\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"best_of\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"best_of\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"frequency_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"frequency_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"logit_bias\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"logit_bias\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":256,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-davinci-003\",\"password\":false,\"options\":[\"text-davinci-003\",\"text-davinci-002\",\"text-curie-001\",\"text-babbage-001\",\"text-ada-001\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"presence_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"presence_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"top_p\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"top_p\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"OpenAI\"},\"description\":\"OpenAI large language models.\",\"base_classes\":[\"OpenAI\",\"BaseLLM\",\"BaseOpenAI\",\"BaseLanguageModel\"],\"display_name\":\"OpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAI-3ZVDh\"},\"selected\":true,\"positionAbsolute\":{\"x\":-4.0041891741949485,\"y\":-114.02615182719649},\"dragging\":false},{\"width\":384,\"height\":338,\"id\":\"LLMChain-RFYXY\",\"type\":\"genericNode\",\"position\":{\"x\":586.672100458868,\"y\":10.967049167706678},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-RFYXY\"},\"positionAbsolute\":{\"x\":586.672100458868,\"y\":10.967049167706678}},{\"width\":384,\"height\":242,\"id\":\"ChatPromptTemplate-ce1sg\",\"type\":\"genericNode\",\"position\":{\"x\":395.598984452791,\"y\":612.188491773035},\"data\":{\"type\":\"ChatPromptTemplate\",\"node\":{\"template\":{\"messages\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"messages\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseMessagePromptTemplate\",\"list\":true},\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatPromptTemplate\"},\"description\":\"A prompt template for chat models.\",\"base_classes\":[\"ChatPromptTemplate\",\"BaseChatPromptTemplate\",\"BasePromptTemplate\"],\"display_name\":\"ChatPromptTemplate\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/how_to/prompts\",\"beta\":false,\"error\":null},\"id\":\"ChatPromptTemplate-ce1sg\"},\"selected\":false,\"positionAbsolute\":{\"x\":395.598984452791,\"y\":612.188491773035},\"dragging\":false}],\"edges\":[{\"source\":\"OpenAI-3ZVDh\",\"sourceHandle\":\"{œbaseClassesœ:[œOpenAIœ,œBaseLLMœ,œBaseOpenAIœ,œBaseLanguageModelœ],œdataTypeœ:œOpenAIœ,œidœ:œOpenAI-3ZVDhœ}\",\"target\":\"LLMChain-RFYXY\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-RFYXY\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"OpenAI\",\"BaseLLM\",\"BaseOpenAI\",\"BaseLanguageModel\"],\"dataType\":\"OpenAI\",\"id\":\"OpenAI-3ZVDh\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-OpenAI-3ZVDh{œbaseClassesœ:[œOpenAIœ,œBaseLLMœ,œBaseOpenAIœ,œBaseLanguageModelœ],œdataTypeœ:œOpenAIœ,œidœ:œOpenAI-3ZVDhœ}-LLMChain-RFYXY{œfieldNameœ:œllmœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\"},{\"source\":\"ChatPromptTemplate-ce1sg\",\"sourceHandle\":\"{œbaseClassesœ:[œChatPromptTemplateœ,œBaseChatPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œChatPromptTemplateœ,œidœ:œChatPromptTemplate-ce1sgœ}\",\"target\":\"LLMChain-RFYXY\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-RFYXY\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"ChatPromptTemplate\",\"BaseChatPromptTemplate\",\"BasePromptTemplate\"],\"dataType\":\"ChatPromptTemplate\",\"id\":\"ChatPromptTemplate-ce1sg\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatPromptTemplate-ce1sg{œbaseClassesœ:[œChatPromptTemplateœ,œBaseChatPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œChatPromptTemplateœ,œidœ:œChatPromptTemplate-ce1sgœ}-LLMChain-RFYXY{œfieldNameœ:œpromptœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":8.832868402772647,\"y\":189.85443326477025,\"zoom\":0.6070974421975235}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:50:19.584160\",\"folder\":null,\"id\":\"103766f0-1f50-427a-9ba7-2ab73343c524\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Perky Easley\",\"description\":\"Your Toolkit for Text Generation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-VPh47\",\"type\":\"genericNode\",\"position\":{\"x\":-328.5742193020408,\"y\":-420.1025929438987},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-3.5-turbo\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseChatModel\",\"ChatOpenAI\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-VPh47\"},\"selected\":false,\"positionAbsolute\":{\"x\":-328.5742193020408,\"y\":-420.1025929438987},\"dragging\":false},{\"width\":384,\"height\":338,\"id\":\"LLMChain-NgFyo\",\"type\":\"genericNode\",\"position\":{\"x\":225.3113389084088,\"y\":-193.3520019494289},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-NgFyo\"},\"selected\":false,\"positionAbsolute\":{\"x\":225.3113389084088,\"y\":-193.3520019494289},\"dragging\":false},{\"width\":384,\"height\":374,\"id\":\"PromptTemplate-oAFjh\",\"type\":\"genericNode\",\"position\":{\"x\":-342.62522294052764,\"y\":391.20629510686103},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"links\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Answer everything with links\\n{links}\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"links\",\"display_name\":\"links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"BasePromptTemplate\",\"StringPromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"links\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-oAFjh\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-342.62522294052764,\"y\":391.20629510686103}}],\"edges\":[{\"source\":\"ChatOpenAI-VPh47\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VPh47œ}\",\"target\":\"LLMChain-NgFyo\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-NgFyo\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseChatModel\",\"ChatOpenAI\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-VPh47\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-VPh47{œbaseClassesœ:[œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VPh47œ}-LLMChain-NgFyo{œfieldNameœ:œllmœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\"},{\"source\":\"PromptTemplate-oAFjh\",\"sourceHandle\":\"{œbaseClassesœ:[œBasePromptTemplateœ,œStringPromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-oAFjhœ}\",\"target\":\"LLMChain-NgFyo\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-NgFyo\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"BasePromptTemplate\",\"StringPromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-oAFjh\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-PromptTemplate-oAFjh{œbaseClassesœ:[œBasePromptTemplateœ,œStringPromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-oAFjhœ}-LLMChain-NgFyo{œfieldNameœ:œpromptœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":338.6546182690814,\"y\":53.026340800283265,\"zoom\":0.7169776240079143}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:53:25.148460\",\"folder\":null,\"id\":\"a794fc48-5e9b-42a3-924f-7fe610500035\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"(D) Basic Chat (1) (4)\",\"description\":\"Simplest possible chat model\",\"data\":{\"nodes\":[{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-fBcfh\",\"type\":\"genericNode\",\"position\":{\"x\":228.87326389541306,\"y\":465.8628482073749},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-3.5-turbo\",\"password\":false,\"options\":[\"gpt-3.5-turbo-0613\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k-0613\",\"gpt-3.5-turbo-16k\",\"gpt-4-0613\",\"gpt-4-32k-0613\",\"gpt-4\",\"gpt-4-32k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false,\"value\":60},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseChatModel\",\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\"},\"id\":\"ChatOpenAI-fBcfh\",\"value\":null},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":228.87326389541306,\"y\":465.8628482073749}},{\"width\":384,\"height\":310,\"id\":\"ConversationChain-bVNex\",\"type\":\"genericNode\",\"position\":{\"x\":806,\"y\":554},\"data\":{\"type\":\"ConversationChain\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":{\"_type\":\"default\"},\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLMOutputParser\",\"list\":false},\"prompt\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":{\"input_variables\":[\"history\",\"input\"],\"output_parser\":null,\"partial_variables\":{},\"template\":\"The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.\\n\\nCurrent conversation:\\n{history}\\nHuman: {input}\\nAI:\",\"template_format\":\"f-string\",\"validate_template\":true,\"_type\":\"prompt\"},\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false},\"input_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"input\",\"password\":false,\"name\":\"input_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"llm_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"llm_kwargs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"output_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"response\",\"password\":false,\"name\":\"output_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"return_final_only\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":true,\"password\":false,\"name\":\"return_final_only\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ConversationChain\"},\"description\":\"Chain to have a conversation and load context from memory.\",\"base_classes\":[\"ConversationChain\",\"Chain\",\"LLMChain\",\"function\"],\"display_name\":\"ConversationChain\",\"documentation\":\"\"},\"id\":\"ConversationChain-bVNex\",\"value\":null},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":806,\"y\":554}}],\"edges\":[{\"source\":\"ChatOpenAI-fBcfh\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseChatModelœ,œBaseLanguageModelœ,œChatOpenAIœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-fBcfhœ}\",\"target\":\"ConversationChain-bVNex\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œConversationChain-bVNexœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"className\":\"stroke-gray-900  stroke-connection\",\"id\":\"reactflow__edge-ChatOpenAI-fBcfh{œbaseClassesœ:[œBaseChatModelœ,œBaseLanguageModelœ,œChatOpenAIœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-fBcfhœ}-ConversationChain-bVNex{œfieldNameœ:œllmœ,œidœ:œConversationChain-bVNexœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"BaseChatModel\",\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-fBcfh\"},\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"ConversationChain-bVNex\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"}},\"style\":{\"stroke\":\"#555\"},\"animated\":false}],\"viewport\":{\"x\":-118.21416568593895,\"y\":-240.64815770363373,\"zoom\":0.7642485855675408}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:57:55.879806\",\"folder\":null,\"id\":\"bddebeea-b80a-4b28-8895-c4425687dcce\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Directory Loader\",\"description\":\"Generic File Loader\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"import os\\n\\nfrom langchain.schema import Document\\nfrom langflow import CustomComponent\\nimport glob\\n\\nclass DirectoryLoaderComponent(CustomComponent):\\n    display_name: str = \\\"Directory Loader\\\"\\n    description: str = \\\"Generic File Loader\\\"\\n    beta = True\\n    loaders_info = [\\n    {\\n        \\\"loader\\\": \\\"AirbyteJSONLoader\\\",\\n        \\\"name\\\": \\\"Airbyte JSON (.jsonl)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.AirbyteJSONLoader\\\",\\n        \\\"defaultFor\\\": [\\\"jsonl\\\"],\\n        \\\"allowdTypes\\\": [\\\"jsonl\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"JSONLoader\\\",\\n        \\\"name\\\": \\\"JSON (.json)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.JSONLoader\\\",\\n        \\\"defaultFor\\\": [\\\"json\\\"],\\n        \\\"allowdTypes\\\": [\\\"json\\\"],\\n        \\\"kwargs\\\": {\\\"jq_schema\\\": \\\".\\\", \\\"text_content\\\": False}\\n    },\\n    {\\n        \\\"loader\\\": \\\"BSHTMLLoader\\\",\\n        \\\"name\\\": \\\"BeautifulSoup4 HTML (.html, .htm)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.BSHTMLLoader\\\",\\n        \\\"allowdTypes\\\": [\\\"html\\\", \\\"htm\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"CSVLoader\\\",\\n        \\\"name\\\": \\\"CSV (.csv)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.CSVLoader\\\",\\n        \\\"defaultFor\\\": [\\\"csv\\\"],\\n        \\\"allowdTypes\\\": [\\\"csv\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"CoNLLULoader\\\",\\n        \\\"name\\\": \\\"CoNLL-U (.conllu)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.CoNLLULoader\\\",\\n        \\\"defaultFor\\\": [\\\"conllu\\\"],\\n        \\\"allowdTypes\\\": [\\\"conllu\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"EverNoteLoader\\\",\\n        \\\"name\\\": \\\"EverNote (.enex)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.EverNoteLoader\\\",\\n        \\\"defaultFor\\\": [\\\"enex\\\"],\\n        \\\"allowdTypes\\\": [\\\"enex\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"FacebookChatLoader\\\",\\n        \\\"name\\\": \\\"Facebook Chat (.json)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.FacebookChatLoader\\\",\\n        \\\"allowdTypes\\\": [\\\"json\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"OutlookMessageLoader\\\",\\n        \\\"name\\\": \\\"Outlook Message (.msg)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.OutlookMessageLoader\\\",\\n        \\\"defaultFor\\\": [\\\"msg\\\"],\\n        \\\"allowdTypes\\\": [\\\"msg\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"PyPDFLoader\\\",\\n        \\\"name\\\": \\\"PyPDF (.pdf)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.PyPDFLoader\\\",\\n        \\\"defaultFor\\\": [\\\"pdf\\\"],\\n        \\\"allowdTypes\\\": [\\\"pdf\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"STRLoader\\\",\\n        \\\"name\\\": \\\"Subtitle (.str)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.STRLoader\\\",\\n        \\\"defaultFor\\\": [\\\"str\\\"],\\n        \\\"allowdTypes\\\": [\\\"str\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"TextLoader\\\",\\n        \\\"name\\\": \\\"Text (.txt)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.TextLoader\\\",\\n        \\\"defaultFor\\\": [\\\"txt\\\"],\\n        \\\"allowdTypes\\\": [\\\"txt\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredEmailLoader\\\",\\n        \\\"name\\\": \\\"Unstructured Email (.eml)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredEmailLoader\\\",\\n        \\\"defaultFor\\\": [\\\"eml\\\"],\\n        \\\"allowdTypes\\\": [\\\"eml\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredHTMLLoader\\\",\\n        \\\"name\\\": \\\"Unstructured HTML (.html, .htm)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredHTMLLoader\\\",\\n        \\\"defaultFor\\\": [\\\"html\\\", \\\"htm\\\"],\\n        \\\"allowdTypes\\\": [\\\"html\\\", \\\"htm\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredMarkdownLoader\\\",\\n        \\\"name\\\": \\\"Unstructured Markdown (.md)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredMarkdownLoader\\\",\\n        \\\"defaultFor\\\": [\\\"md\\\"],\\n        \\\"allowdTypes\\\": [\\\"md\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredPowerPointLoader\\\",\\n        \\\"name\\\": \\\"Unstructured PowerPoint (.pptx)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredPowerPointLoader\\\",\\n        \\\"defaultFor\\\": [\\\"pptx\\\"],\\n        \\\"allowdTypes\\\": [\\\"pptx\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredWordLoader\\\",\\n        \\\"name\\\": \\\"Unstructured Word (.docx)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredWordLoader\\\",\\n        \\\"defaultFor\\\": [\\\"docx\\\"],\\n        \\\"allowdTypes\\\": [\\\"docx\\\"],\\n    },\\n]\\n\\n\\n    def build_config(self):\\n        loader_options = [\\\"Automatic\\\"] + [\\n            loader_info[\\\"name\\\"] for loader_info in self.loaders_info\\n        ]\\n\\n        file_types = []\\n        suffixes = []\\n\\n        for loader_info in self.loaders_info:\\n            if \\\"allowedTypes\\\" in loader_info:\\n                file_types.extend(loader_info[\\\"allowedTypes\\\"])\\n                suffixes.extend([f\\\".{ext}\\\" for ext in loader_info[\\\"allowedTypes\\\"]])\\n\\n        return {\\n            \\\"directory_path\\\": {\\n                \\\"display_name\\\": \\\"Directory Path\\\",\\n                \\\"required\\\": True,\\n            },\\n            \\\"loader\\\": {\\n                \\\"display_name\\\": \\\"Loader\\\",\\n                \\\"is_list\\\": True,\\n                \\\"required\\\": True,\\n                \\\"options\\\": loader_options,\\n                \\\"value\\\": \\\"Automatic\\\",\\n            },\\n        }\\n\\n    def build(self, directory_path: str, loader: str) -> Document:\\n        # Verifique se o diretório existe\\n        if not os.path.exists(directory_path):\\n            raise ValueError(f\\\"Directory not found: {directory_path}\\\")\\n\\n        files = glob.glob(directory_path + \\\"/*.*\\\")\\n\\n\\n        loader_info = None\\n        if loader == \\\"Automatic\\\":\\n            for file in files:\\n                file_type = file.split(\\\".\\\")[-1]\\n\\n\\n                for info in self.loaders_info:\\n                    if \\\"defaultFor\\\" in info:\\n                        if file_type in info[\\\"defaultFor\\\"]:\\n                            loader_info = info\\n                            break\\n                if loader_info:\\n                    break\\n\\n            if not loader_info:\\n                raise ValueError(\\n                    \\\"No default loader found for any file in the directory\\\"\\n                )\\n\\n        else:\\n            for info in self.loaders_info:\\n                if info[\\\"name\\\"] == loader:\\n                    loader_info = info\\n                    break\\n\\n            if not loader_info:\\n                raise ValueError(f\\\"Loader {loader} not found in the loader info list\\\")\\n\\n        loader_import = loader_info[\\\"import\\\"]\\n        module_name, class_name = loader_import.rsplit(\\\".\\\", 1)\\n\\n        try:\\n            # Importe o loader dinamicamente\\n            loader_module = __import__(module_name, fromlist=[class_name])\\n            loader_instance = getattr(loader_module, class_name)\\n        except ImportError as e:\\n            raise ValueError(\\n                f\\\"Loader {loader} could not be imported\\\\nLoader info:\\\\n{loader_info}\\\"\\n            ) from e\\n\\n        results = []\\n        for file in files:\\n            file_path = os.path.join(directory_path, file)\\n            kwargs = loader_info.get(\\\"kwargs\\\", {})\\n            result = loader_instance(file_path=file_path, **kwargs).load()\\n            results.append(result)\\n        self.status = results\\n        return results\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"directory_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"directory_path\",\"display_name\":\"Directory Path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"/Users/ogabrielluiz/Projects/langflow2/docs\"},\"loader\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"Automatic\",\"password\":false,\"options\":[\"Automatic\",\"Airbyte JSON (.jsonl)\",\"JSON (.json)\",\"BeautifulSoup4 HTML (.html, .htm)\",\"CSV (.csv)\",\"CoNLL-U (.conllu)\",\"EverNote (.enex)\",\"Facebook Chat (.json)\",\"Outlook Message (.msg)\",\"PyPDF (.pdf)\",\"Subtitle (.str)\",\"Text (.txt)\",\"Unstructured Email (.eml)\",\"Unstructured HTML (.html, .htm)\",\"Unstructured Markdown (.md)\",\"Unstructured PowerPoint (.pptx)\",\"Unstructured Word (.docx)\"],\"name\":\"loader\",\"display_name\":\"Loader\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true}},\"description\":\"Generic File Loader\",\"base_classes\":[\"Document\"],\"display_name\":\"Directory Loader\",\"custom_fields\":{\"directory_path\":null,\"loader\":null},\"output_types\":[\"Document\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-Ip6tG\"},\"id\":\"CustomComponent-Ip6tG\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-04T22:58:38.570303\",\"folder\":null,\"id\":\"5fe4debc-b6a7-45d4-a694-c02d8aa93b08\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Whisper Transcriber\",\"description\":\"Converts audio to text using OpenAI's Whisper.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import Optional, List, Dict, Union\\nfrom langflow.field_typing import (\\n    AgentExecutor,\\n    BaseChatMemory,\\n    BaseLanguageModel,\\n    BaseLLM,\\n    BaseLoader,\\n    BaseMemory,\\n    BaseOutputParser,\\n    BasePromptTemplate,\\n    BaseRetriever,\\n    Callable,\\n    Chain,\\n    ChatPromptTemplate,\\n    Data,\\n    Document,\\n    Embeddings,\\n    NestedDict,\\n    Object,\\n    PromptTemplate,\\n    TextSplitter,\\n    Tool,\\n    VectorStore,\\n)\\n\\nfrom openai import OpenAI\\nclass Component(CustomComponent):\\n    display_name: str = \\\"Whisper Transcriber\\\"\\n    description: str = \\\"Converts audio to text using OpenAI's Whisper.\\\"\\n\\n    def build_config(self):\\n        return {\\\"audio\\\":{\\\"field_type\\\":\\\"file\\\",\\\"suffixes\\\":[\\\".mp3\\\", \\\".mp4\\\", \\\".m4a\\\"]},\\\"OpenAIKey\\\":{\\\"field_type\\\":\\\"str\\\",\\\"password\\\":True}}\\n\\n    def build(self, audio:str, OpenAIKey:str) -> str:\\n        \\n        #  TODO: if output path, persist & load it instead\\n        \\n        client = OpenAI(api_key=OpenAIKey)\\n        \\n        audio_file= open(audio, \\\"rb\\\")\\n        transcript = client.audio.transcriptions.create(\\n          model=\\\"whisper-1\\\", \\n          file=audio_file,\\n          response_format=\\\"text\\\"\\n        )\\n        \\n        \\n        self.status = transcript\\n        return transcript\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"OpenAIKey\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"OpenAIKey\",\"display_name\":\"OpenAIKey\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"audio\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"suffixes\":[\".mp3\",\".mp4\",\".m4a\"],\"password\":false,\"name\":\"audio\",\"display_name\":\"audio\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"file_path\":\"/Users/rodrigonader/Library/Caches/langflow/19b3e1c9-90bf-405f-898a-e982f47adf76/a3308ce7e9b10088fcd985aabb6d17b012c6b6e81ff8806356574474c9d10229.m4a\",\"value\":\"Audio Recording 2023-11-29 at 12.12.04.m4a\"}},\"description\":\"Converts audio to text using OpenAI's Whisper.\",\"base_classes\":[\"str\"],\"display_name\":\"Whisper Transcriber\",\"custom_fields\":{\"OpenAIKey\":null,\"audio\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-GJRrs\"},\"id\":\"CustomComponent-GJRrs\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-04T22:58:39.710502\",\"folder\":null,\"id\":\"bd9e911d-46bd-429f-aa75-dd740430695e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Youtube Conversation\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":589,\"id\":\"CustomComponent-h0NSI\",\"type\":\"genericNode\",\"position\":{\"x\":714.9531293402755,\"y\":0.4994374160582993},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"import requests\\nfrom langflow import CustomComponent\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.schema import Document\\nfrom langchain.document_loaders import YoutubeLoader\\n\\n# Example usage:\\n\\nclass YourComponent(CustomComponent):\\n    display_name: str = \\\"YouTube Transcript\\\"\\n    description: str = \\\"YouTube transcripts refer to the written text versions of the spoken content in a video uploaded to the YouTube platform.\\\"\\n\\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"multiline\\\": True, \\\"required\\\": True}}\\n\\n    def build(self, url: str, llm: BaseLLM, dependencies: Document, language: str = \\\"en\\\") -> Document:\\n        dependencies\\n        response = requests.get(url)\\n        loader = YoutubeLoader.from_youtube_url(url, add_video_info=True, language=[language])\\n        result = loader.load()\\n        self.repr_value = str(result)\\n        return result\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"dependencies\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"dependencies\",\"display_name\":\"dependencies\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":false},\"language\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"en\",\"password\":false,\"name\":\"language\",\"display_name\":\"language\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLM\",\"list\":false},\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"YouTube transcripts refer to the written text versions of the spoken content in a video uploaded to the YouTube platform.\",\"base_classes\":[\"Document\"],\"display_name\":\"YouTube Transcript\",\"custom_fields\":{\"dependencies\":null,\"language\":null,\"llm\":null,\"url\":null},\"output_types\":[\"Document\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-h0NSI\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":714.9531293402755,\"y\":0.4994374160582993}},{\"width\":384,\"height\":629,\"id\":\"ChatOpenAI-q61Y2\",\"type\":\"genericNode\",\"position\":{\"x\":18,\"y\":625.5521045590924},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-3.5-turbo-16k\",\"password\":false,\"options\":[\"gpt-3.5-turbo-0613\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k-0613\",\"gpt-3.5-turbo-16k\",\"gpt-4-0613\",\"gpt-4-32k-0613\",\"gpt-4\",\"gpt-4-32k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-q61Y2\"},\"selected\":false,\"positionAbsolute\":{\"x\":18,\"y\":625.5521045590924},\"dragging\":false},{\"width\":384,\"height\":539,\"id\":\"Chroma-gVhy7\",\"type\":\"genericNode\",\"position\":{\"x\":2110.365967257855,\"y\":805.0149521868784},\"data\":{\"type\":\"Chroma\",\"node\":{\"template\":{\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"chromadb.Client\",\"list\":false},\"client_settings\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client_settings\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"chromadb.config.Setting\",\"list\":true},\"documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":true},\"embedding\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Embeddings\",\"list\":false},\"chroma_server_cors_allow_origins\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_cors_allow_origins\",\"display_name\":\"Chroma Server CORS Allow Origins\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"chroma_server_grpc_port\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_grpc_port\",\"display_name\":\"Chroma Server GRPC Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_host\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_host\",\"display_name\":\"Chroma Server Host\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_http_port\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_http_port\",\"display_name\":\"Chroma Server HTTP Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_ssl_enabled\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"chroma_server_ssl_enabled\",\"display_name\":\"Chroma Server SSL Enabled\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"collection_metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"collection_metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"collection_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"langchain\",\"password\":false,\"name\":\"collection_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"ids\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"ids\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"metadatas\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":true},\"persist\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"persist\",\"display_name\":\"Persist\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"persist_directory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"persist_directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"search_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"{}\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"NestedDict\",\"list\":false},\"_type\":\"Chroma\"},\"description\":\"Create a Chroma vectorstore from a raw documents.\",\"base_classes\":[\"VectorStore\",\"Chroma\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"Chroma\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/chroma\",\"beta\":false,\"error\":null},\"id\":\"Chroma-gVhy7\"},\"selected\":false,\"positionAbsolute\":{\"x\":2110.365967257855,\"y\":805.0149521868784},\"dragging\":false},{\"width\":384,\"height\":501,\"id\":\"RecursiveCharacterTextSplitter-1eaOX\",\"type\":\"genericNode\",\"position\":{\"x\":1409.2872773444874,\"y\":19.45456141103284},\"data\":{\"type\":\"RecursiveCharacterTextSplitter\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.schema import Document\\nfrom langflow.utils.util import build_loader_repr_from_documents\\n\\n\\nclass RecursiveCharacterTextSplitterComponent(CustomComponent):\\n    display_name: str = \\\"Recursive Character Text Splitter\\\"\\n    description: str = \\\"Split text into chunks of a specified length.\\\"\\n    documentation: str = \\\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"documents\\\": {\\n                \\\"display_name\\\": \\\"Documents\\\",\\n                \\\"info\\\": \\\"The documents to split.\\\",\\n            },\\n            \\\"separators\\\": {\\n                \\\"display_name\\\": \\\"Separators\\\",\\n                \\\"info\\\": 'The characters to split on.\\\\nIf left empty defaults to [\\\"\\\\\\\\n\\\\\\\\n\\\", \\\"\\\\\\\\n\\\", \\\" \\\", \\\"\\\"].',\\n                \\\"is_list\\\": True,\\n            },\\n            \\\"chunk_size\\\": {\\n                \\\"display_name\\\": \\\"Chunk Size\\\",\\n                \\\"info\\\": \\\"The maximum length of each chunk.\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 1000,\\n            },\\n            \\\"chunk_overlap\\\": {\\n                \\\"display_name\\\": \\\"Chunk Overlap\\\",\\n                \\\"info\\\": \\\"The amount of overlap between chunks.\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 200,\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        documents: list[Document],\\n        separators: Optional[list[str]] = None,\\n        chunk_size: Optional[int] = 1000,\\n        chunk_overlap: Optional[int] = 200,\\n    ) -> list[Document]:\\n        \\\"\\\"\\\"\\n        Split text into chunks of a specified length.\\n\\n        Args:\\n            separators (list[str]): The characters to split on.\\n            chunk_size (int): The maximum length of each chunk.\\n            chunk_overlap (int): The amount of overlap between chunks.\\n            length_function (function): The function to use to calculate the length of the text.\\n\\n        Returns:\\n            list[str]: The chunks of text.\\n        \\\"\\\"\\\"\\n        from langchain.text_splitter import RecursiveCharacterTextSplitter\\n\\n        if separators == \\\"\\\":\\n            separators = None\\n        elif separators:\\n            # check if the separators list has escaped characters\\n            # if there are escaped characters, unescape them\\n            separators = [x.encode().decode(\\\"unicode-escape\\\") for x in separators]\\n\\n        # Make sure chunk_size and chunk_overlap are ints\\n        if isinstance(chunk_size, str):\\n            chunk_size = int(chunk_size)\\n        if isinstance(chunk_overlap, str):\\n            chunk_overlap = int(chunk_overlap)\\n        splitter = RecursiveCharacterTextSplitter(\\n            separators=separators,\\n            chunk_size=chunk_size,\\n            chunk_overlap=chunk_overlap,\\n        )\\n\\n        docs = splitter.split_documents(documents)\\n        self.repr_value = build_loader_repr_from_documents(docs)\\n        return docs\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"chunk_overlap\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"50\",\"password\":false,\"name\":\"chunk_overlap\",\"display_name\":\"Chunk Overlap\",\"advanced\":false,\"dynamic\":false,\"info\":\"The amount of overlap between chunks.\",\"type\":\"int\",\"list\":false},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"400\",\"password\":false,\"name\":\"chunk_size\",\"display_name\":\"Chunk Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"The maximum length of each chunk.\",\"type\":\"int\",\"list\":false},\"documents\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"The documents to split.\",\"type\":\"Document\",\"list\":true},\"separators\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"separators\",\"display_name\":\"Separators\",\"advanced\":false,\"dynamic\":false,\"info\":\"The characters to split on.\\nIf left empty defaults to [\\\"\\\\n\\\\n\\\", \\\"\\\\n\\\", \\\" \\\", \\\"\\\"].\",\"type\":\"str\",\"list\":true,\"value\":[\" \"]}},\"description\":\"Split text into chunks of a specified length.\",\"base_classes\":[\"Document\"],\"display_name\":\"Recursive Character Text Splitter\",\"custom_fields\":{\"chunk_overlap\":null,\"chunk_size\":null,\"documents\":null,\"separators\":null},\"output_types\":[\"RecursiveCharacterTextSplitter\"],\"documentation\":\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\",\"beta\":true,\"error\":null},\"id\":\"RecursiveCharacterTextSplitter-1eaOX\"},\"selected\":false,\"positionAbsolute\":{\"x\":1409.2872773444874,\"y\":19.45456141103284},\"dragging\":false},{\"width\":384,\"height\":367,\"id\":\"OpenAIEmbeddings-cduOO\",\"type\":\"genericNode\",\"position\":{\"x\":1405.1176670984544,\"y\":1029.459061269321},\"data\":{\"type\":\"OpenAIEmbeddings\",\"node\":{\"template\":{\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Literal'all'\",\"list\":true},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Literal'all'\",\"list\":true},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1000,\"password\":false,\"name\":\"chunk_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"deployment\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"embedding_ctx_length\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":8191,\"password\":false,\"name\":\"embedding_ctx_length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"{'Authorization': 'Bearer <token>'}\",\"password\":false,\"name\":\"headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_type\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_version\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"show_progress_bar\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"show_progress_bar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"skip_empty\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"skip_empty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"_type\":\"OpenAIEmbeddings\"},\"description\":\"OpenAI embedding models.\",\"base_classes\":[\"Embeddings\",\"OpenAIEmbeddings\"],\"display_name\":\"OpenAIEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAIEmbeddings-cduOO\"},\"selected\":false,\"positionAbsolute\":{\"x\":1405.1176670984544,\"y\":1029.459061269321}},{\"width\":384,\"height\":339,\"id\":\"RetrievalQA-4PmTB\",\"type\":\"genericNode\",\"position\":{\"x\":2711.7786966415715,\"y\":709.4450828605463},\"data\":{\"type\":\"RetrievalQA\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"combine_documents_chain\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"combine_documents_chain\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseCombineDocumentsChain\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"retriever\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseRetriever\",\"list\":false},\"input_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"query\",\"password\":false,\"name\":\"input_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"output_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"result\",\"password\":false,\"name\":\"output_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"return_source_documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":false,\"name\":\"return_source_documents\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"RetrievalQA\"},\"description\":\"Chain for question-answering against an index.\",\"base_classes\":[\"RetrievalQA\",\"Chain\",\"BaseRetrievalQA\",\"function\"],\"display_name\":\"RetrievalQA\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/chains/popular/vector_db_qa\",\"beta\":false,\"error\":null},\"id\":\"RetrievalQA-4PmTB\"},\"selected\":false,\"positionAbsolute\":{\"x\":2711.7786966415715,\"y\":709.4450828605463}},{\"width\":384,\"height\":333,\"id\":\"CombineDocsChain-yk0JF\",\"type\":\"genericNode\",\"position\":{\"x\":2125.6202053356537,\"y\":199.07708924409633},\"data\":{\"type\":\"CombineDocsChain\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"chain_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"stuff\",\"password\":false,\"options\":[\"stuff\",\"map_reduce\",\"map_rerank\",\"refine\"],\"name\":\"chain_type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"_type\":\"load_qa_chain\"},\"description\":\"Load question answering chain.\",\"base_classes\":[\"BaseCombineDocumentsChain\",\"function\"],\"display_name\":\"CombineDocsChain\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"id\":\"CombineDocsChain-yk0JF\"},\"selected\":false,\"positionAbsolute\":{\"x\":2125.6202053356537,\"y\":199.07708924409633},\"dragging\":false},{\"width\":384,\"height\":417,\"id\":\"CustomComponent-y6Wg0\",\"type\":\"genericNode\",\"position\":{\"x\":39.400034102832365,\"y\":-499.03551482195707},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nimport subprocess\\n\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain.prompts import PromptTemplate\\nfrom langchain.schema import Document\\n\\nfrom typing import List\\n\\n\\nclass YourComponent(CustomComponent):\\n    display_name: str = \\\"PIP Install\\\"\\n    description: str = \\\"Create any custom component you want!\\\"\\n\\n    def build(self, libs: List[str]) -> Document:\\n        def install_package(package_name):\\n            subprocess.check_call([\\\"pip\\\", \\\"install\\\", package_name])\\n        for lib in libs:\\n            install_package(lib)\\n        return \\\"\\\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"libs\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"libs\",\"display_name\":\"libs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"requests\",\"pytube\"]}},\"description\":\"Create any custom component you want!\",\"base_classes\":[\"Document\"],\"display_name\":\"PIP Install\",\"custom_fields\":{\"libs\":null},\"output_types\":[],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-y6Wg0\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":39.400034102832365,\"y\":-499.03551482195707}}],\"edges\":[{\"source\":\"ChatOpenAI-q61Y2\",\"sourceHandle\":\"{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}\",\"target\":\"CustomComponent-h0NSI\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œBaseLLMœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-q61Y2{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}-CustomComponent-h0NSI{œfieldNameœ:œllmœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œBaseLLMœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-q61Y2\"},\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"CustomComponent-h0NSI\",\"inputTypes\":null,\"type\":\"BaseLLM\"}}},{\"source\":\"CustomComponent-y6Wg0\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-y6Wg0œ}\",\"target\":\"CustomComponent-h0NSI\",\"targetHandle\":\"{œfieldNameœ:œdependenciesœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-y6Wg0{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-y6Wg0œ}-CustomComponent-h0NSI{œfieldNameœ:œdependenciesœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-y6Wg0\"},\"targetHandle\":{\"fieldName\":\"dependencies\",\"id\":\"CustomComponent-h0NSI\",\"inputTypes\":null,\"type\":\"Document\"}}},{\"source\":\"CustomComponent-h0NSI\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-h0NSIœ}\",\"target\":\"RecursiveCharacterTextSplitter-1eaOX\",\"targetHandle\":\"{œfieldNameœ:œdocumentsœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-h0NSI{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-h0NSIœ}-RecursiveCharacterTextSplitter-1eaOX{œfieldNameœ:œdocumentsœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-h0NSI\"},\"targetHandle\":{\"fieldName\":\"documents\",\"id\":\"RecursiveCharacterTextSplitter-1eaOX\",\"inputTypes\":null,\"type\":\"Document\"}},\"selected\":false},{\"source\":\"OpenAIEmbeddings-cduOO\",\"sourceHandle\":\"{œbaseClassesœ:[œEmbeddingsœ,œOpenAIEmbeddingsœ],œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-cduOOœ}\",\"target\":\"Chroma-gVhy7\",\"targetHandle\":\"{œfieldNameœ:œembeddingœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œEmbeddingsœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-OpenAIEmbeddings-cduOO{œbaseClassesœ:[œEmbeddingsœ,œOpenAIEmbeddingsœ],œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-cduOOœ}-Chroma-gVhy7{œfieldNameœ:œembeddingœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œEmbeddingsœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Embeddings\",\"OpenAIEmbeddings\"],\"dataType\":\"OpenAIEmbeddings\",\"id\":\"OpenAIEmbeddings-cduOO\"},\"targetHandle\":{\"fieldName\":\"embedding\",\"id\":\"Chroma-gVhy7\",\"inputTypes\":null,\"type\":\"Embeddings\"}}},{\"source\":\"RecursiveCharacterTextSplitter-1eaOX\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œRecursiveCharacterTextSplitterœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ}\",\"target\":\"Chroma-gVhy7\",\"targetHandle\":\"{œfieldNameœ:œdocumentsœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-RecursiveCharacterTextSplitter-1eaOX{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œRecursiveCharacterTextSplitterœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ}-Chroma-gVhy7{œfieldNameœ:œdocumentsœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"RecursiveCharacterTextSplitter\",\"id\":\"RecursiveCharacterTextSplitter-1eaOX\"},\"targetHandle\":{\"fieldName\":\"documents\",\"id\":\"Chroma-gVhy7\",\"inputTypes\":null,\"type\":\"Document\"}}},{\"source\":\"ChatOpenAI-q61Y2\",\"sourceHandle\":\"{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}\",\"target\":\"CombineDocsChain-yk0JF\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œCombineDocsChain-yk0JFœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-q61Y2{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}-CombineDocsChain-yk0JF{œfieldNameœ:œllmœ,œidœ:œCombineDocsChain-yk0JFœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-q61Y2\"},\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"CombineDocsChain-yk0JF\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"}}},{\"source\":\"CombineDocsChain-yk0JF\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseCombineDocumentsChainœ,œfunctionœ],œdataTypeœ:œCombineDocsChainœ,œidœ:œCombineDocsChain-yk0JFœ}\",\"target\":\"RetrievalQA-4PmTB\",\"targetHandle\":\"{œfieldNameœ:œcombine_documents_chainœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseCombineDocumentsChainœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CombineDocsChain-yk0JF{œbaseClassesœ:[œBaseCombineDocumentsChainœ,œfunctionœ],œdataTypeœ:œCombineDocsChainœ,œidœ:œCombineDocsChain-yk0JFœ}-RetrievalQA-4PmTB{œfieldNameœ:œcombine_documents_chainœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseCombineDocumentsChainœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"BaseCombineDocumentsChain\",\"function\"],\"dataType\":\"CombineDocsChain\",\"id\":\"CombineDocsChain-yk0JF\"},\"targetHandle\":{\"fieldName\":\"combine_documents_chain\",\"id\":\"RetrievalQA-4PmTB\",\"inputTypes\":null,\"type\":\"BaseCombineDocumentsChain\"}}},{\"source\":\"Chroma-gVhy7\",\"sourceHandle\":\"{œbaseClassesœ:[œVectorStoreœ,œChromaœ,œBaseRetrieverœ,œVectorStoreRetrieverœ],œdataTypeœ:œChromaœ,œidœ:œChroma-gVhy7œ}\",\"target\":\"RetrievalQA-4PmTB\",\"targetHandle\":\"{œfieldNameœ:œretrieverœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseRetrieverœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-Chroma-gVhy7{œbaseClassesœ:[œVectorStoreœ,œChromaœ,œBaseRetrieverœ,œVectorStoreRetrieverœ],œdataTypeœ:œChromaœ,œidœ:œChroma-gVhy7œ}-RetrievalQA-4PmTB{œfieldNameœ:œretrieverœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseRetrieverœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"VectorStore\",\"Chroma\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"dataType\":\"Chroma\",\"id\":\"Chroma-gVhy7\"},\"targetHandle\":{\"fieldName\":\"retriever\",\"id\":\"RetrievalQA-4PmTB\",\"inputTypes\":null,\"type\":\"BaseRetriever\"}}}],\"viewport\":{\"x\":189.54413265004274,\"y\":259.89949657174975,\"zoom\":0.291027508374689}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:59:08.830269\",\"folder\":null,\"id\":\"bc7eb94b-6fc6-49cb-9b19-35347ba51afa\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Web Scraper - Content & Links\",\"description\":\"Fetch and parse text and links from a given URL.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":338,\"id\":\"LLMChain-H7PBy\",\"type\":\"genericNode\",\"position\":{\"x\":1682.494010974207,\"y\":275.5701585623092},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-H7PBy\"},\"selected\":false,\"positionAbsolute\":{\"x\":1682.494010974207,\"y\":275.5701585623092},\"dragging\":false},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-VSAdc\",\"type\":\"genericNode\",\"position\":{\"x\":1002.4263147022411,\"y\":-198.2305006886859},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"0.1\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-VSAdc\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":1002.4263147022411,\"y\":-198.2305006886859}},{\"width\":384,\"height\":374,\"data\":{\"id\":\"GroupNode-WXPMk\",\"type\":\"PromptTemplate\",\"node\":{\"output_types\":[],\"display_name\":\"Web Scraper\",\"documentation\":\"\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"description\":\"Fetch and parse text and links from a given URL.\",\"template\":{\"code_CustomComponent-f6nOg\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"code\"},\"display_name\":\"Code\"},\"ignore_links_CustomComponent-f6nOg\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"ignore_links\"}},\"code_CustomComponent-FGzJJ\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-FGzJJ\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-0XtUN\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-0XtUN\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-ODIcp\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-ODIcp\",\"field\":\"code\"},\"display_name\":\"Code\"},\"output_parser_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"output_parser\"},\"display_name\":\"Output Parser\"},\"input_types_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_types\"},\"display_name\":\"Input Types\"},\"input_variables_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"],\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_variables\"},\"display_name\":\"Input Variables\"},\"partial_variables_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"partial_variables\"},\"display_name\":\"Partial Variables\"},\"template_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\",\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template\"},\"display_name\":\"Template\"},\"template_format_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template_format\"},\"display_name\":\"Template Format\"},\"validate_template_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"validate_template\"},\"display_name\":\"Validate Template\"},\"query_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"give me links\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"query\"}},\"code_CustomComponent-OACE0\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"code\"},\"display_name\":\"Code\"},\"url_CustomComponent-OACE0\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"url\"},\"value\":\"https://paperswithcode.com/\"},\"code_CustomComponent-whsQ5\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n    display_name: str = \\\"List to Bullets\\\"\\n    description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n    def build(self, items: list) -> str:\\n        markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n        return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-whsQ5\",\"field\":\"code\"},\"display_name\":\"Code\"}},\"flow\":{\"data\":{\"nodes\":[{\"width\":384,\"height\":405,\"id\":\"CustomComponent-f6nOg\",\"type\":\"genericNode\",\"position\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-f6nOg\"},\"selected\":true,\"positionAbsolute\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"dragging\":false},{\"width\":384,\"height\":375,\"id\":\"CustomComponent-FGzJJ\",\"type\":\"genericNode\",\"position\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-FGzJJ\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-0XtUN\",\"type\":\"genericNode\",\"position\":{\"x\":214.00059169497604,\"y\":177.27071061129823},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse HTML\",\"custom_fields\":{\"html_content\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-0XtUN\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":214.00059169497604,\"y\":177.27071061129823}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-ODIcp\",\"type\":\"genericNode\",\"position\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract Hyperlinks\",\"custom_fields\":{\"soup\":null},\"output_types\":[\"list\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-ODIcp\"},\"selected\":true,\"positionAbsolute\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"dragging\":false},{\"width\":384,\"height\":657,\"id\":\"PromptTemplate-H9Udy\",\"type\":\"genericNode\",\"position\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_markdown\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_markdown\",\"display_name\":\"html_markdown\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_links\",\"display_name\":\"html_links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-H9Udy\"},\"selected\":true,\"positionAbsolute\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"dragging\":false},{\"width\":384,\"height\":347,\"id\":\"CustomComponent-OACE0\",\"type\":\"genericNode\",\"position\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":null,\"base_classes\":[\"str\"],\"display_name\":\"URL Input\",\"custom_fields\":{\"url\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-OACE0\"},\"selected\":true,\"positionAbsolute\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"dragging\":false},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-whsQ5\",\"type\":\"genericNode\",\"position\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n    display_name: str = \\\"List to Bullets\\\"\\n    description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n    def build(self, items: list) -> str:\\n        markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n        return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"items\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"items\",\"display_name\":\"items\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"list\",\"list\":true}},\"description\":\"Converts a Python list into Markdown bullet points.\",\"base_classes\":[\"str\"],\"display_name\":\"List to Bullets\",\"custom_fields\":{\"items\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-whsQ5\"},\"selected\":true,\"positionAbsolute\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"dragging\":false}],\"edges\":[{\"source\":\"CustomComponent-FGzJJ\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}\",\"target\":\"CustomComponent-f6nOg\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-f6nOgœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-f6nOg\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-FGzJJ\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-FGzJJ{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}-CustomComponent-f6nOg{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-f6nOgœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-FGzJJ\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}\",\"target\":\"CustomComponent-0XtUN\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-0XtUNœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-0XtUN\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-FGzJJ\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-FGzJJ{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}-CustomComponent-0XtUN{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-0XtUNœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-0XtUN\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-0XtUNœ}\",\"target\":\"CustomComponent-ODIcp\",\"targetHandle\":\"{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-ODIcpœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"soup\",\"id\":\"CustomComponent-ODIcp\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-0XtUN\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-0XtUN{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-0XtUNœ}-CustomComponent-ODIcp{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-ODIcpœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-OACE0\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}\",\"target\":\"CustomComponent-FGzJJ\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œCustomComponent-FGzJJœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"CustomComponent-FGzJJ\",\"inputTypes\":[\"Data\",\"str\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-OACE0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-OACE0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}-CustomComponent-FGzJJ{œfieldNameœ:œurlœ,œidœ:œCustomComponent-FGzJJœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-OACE0\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-OACE0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-OACE0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}-PromptTemplate-H9Udy{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-ODIcp\",\"sourceHandle\":\"{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ODIcpœ}\",\"target\":\"CustomComponent-whsQ5\",\"targetHandle\":\"{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-whsQ5œ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"items\",\"id\":\"CustomComponent-whsQ5\",\"inputTypes\":null,\"type\":\"list\"},\"sourceHandle\":{\"baseClasses\":[\"list\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-ODIcp\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-ODIcp{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ODIcpœ}-CustomComponent-whsQ5{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-whsQ5œ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"selected\":true},{\"source\":\"CustomComponent-whsQ5\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-whsQ5œ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_links\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-whsQ5\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-whsQ5{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-whsQ5œ}-PromptTemplate-H9Udy{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-f6nOg\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-f6nOgœ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_markdown\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-f6nOg\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-f6nOg{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-f6nOgœ}-PromptTemplate-H9Udy{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true}],\"viewport\":{\"x\":343.0346131188585,\"y\":341.89843948642147,\"zoom\":0.24148408223121196}},\"is_component\":false,\"name\":\"Fluffy Ptolemy\",\"description\":\"\",\"id\":\"W5oNW\"}}},\"id\":\"GroupNode-WXPMk\",\"position\":{\"x\":873.0737834322758,\"y\":598.8401015776466},\"type\":\"genericNode\",\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":873.0737834322758,\"y\":598.8401015776466}}],\"edges\":[{\"source\":\"ChatOpenAI-VSAdc\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VSAdcœ}\",\"target\":\"LLMChain-H7PBy\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-H7PBy\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-VSAdc\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-VSAdc{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VSAdcœ}-LLMChain-H7PBy{œfieldNameœ:œllmœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\"},{\"source\":\"GroupNode-WXPMk\",\"sourceHandle\":\"{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œGroupNode-WXPMkœ}\",\"target\":\"LLMChain-H7PBy\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-H7PBy\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"GroupNode-WXPMk\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-GroupNode-WXPMk{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œGroupNode-WXPMkœ}-LLMChain-H7PBy{œfieldNameœ:œpromptœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":-348.6161822813733,\"y\":121.40545291211492,\"zoom\":0.6801854262029781}},\"is_component\":false,\"updated_at\":\"2023-12-04T23:22:27.784647\",\"folder\":null,\"id\":\"efc3bf27-3cf1-4561-9a83-3df347572440\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sad Joliot\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":338,\"id\":\"LLMChain-RQsU1\",\"type\":\"genericNode\",\"position\":{\"x\":514.4440482813261,\"y\":528.164086188516},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-RQsU1\"},\"selected\":false,\"positionAbsolute\":{\"x\":514.4440482813261,\"y\":528.164086188516}},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-NTTcv\",\"type\":\"genericNode\",\"position\":{\"x\":-221.33853765781578,\"y\":-35.48749923706055},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"0.1\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-NTTcv\"},\"selected\":false,\"positionAbsolute\":{\"x\":-221.33853765781578,\"y\":-35.48749923706055}},{\"width\":384,\"height\":374,\"id\":\"PromptTemplate-VELMV\",\"type\":\"genericNode\",\"position\":{\"x\":-222,\"y\":682.560723386973},\"data\":{\"id\":\"PromptTemplate-VELMV\",\"type\":\"PromptTemplate\",\"node\":{\"output_types\":[],\"display_name\":\"Web Scraper\",\"documentation\":\"\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"description\":\"Fetch and parse text and links from a given URL.\",\"template\":{\"code_CustomComponent-f6nOg\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"code\"},\"display_name\":\"Code\"},\"ignore_links_CustomComponent-f6nOg\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"ignore_links\"}},\"code_CustomComponent-FGzJJ\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-FGzJJ\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-0XtUN\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-0XtUN\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-ODIcp\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-ODIcp\",\"field\":\"code\"},\"display_name\":\"Code\"},\"output_parser_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"output_parser\"},\"display_name\":\"Output Parser\"},\"input_types_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_types\"},\"display_name\":\"Input Types\"},\"input_variables_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"],\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_variables\"},\"display_name\":\"Input Variables\"},\"partial_variables_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"partial_variables\"},\"display_name\":\"Partial Variables\"},\"template_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\",\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template\"},\"display_name\":\"Template\"},\"template_format_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template_format\"},\"display_name\":\"Template Format\"},\"validate_template_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"validate_template\"},\"display_name\":\"Validate Template\"},\"query_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"query\"}},\"code_CustomComponent-OACE0\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"code\"},\"display_name\":\"Code\"},\"url_CustomComponent-OACE0\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"url\"},\"value\":\"https://paperswithcode.com/\"},\"code_CustomComponent-whsQ5\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n    display_name: str = \\\"List to Bullets\\\"\\n    description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n    def build(self, items: list) -> str:\\n        markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n        return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-whsQ5\",\"field\":\"code\"},\"display_name\":\"Code\"}},\"flow\":{\"data\":{\"nodes\":[{\"width\":384,\"height\":405,\"id\":\"CustomComponent-f6nOg\",\"type\":\"genericNode\",\"position\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-f6nOg\"},\"selected\":true,\"positionAbsolute\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"dragging\":false},{\"width\":384,\"height\":375,\"id\":\"CustomComponent-FGzJJ\",\"type\":\"genericNode\",\"position\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-FGzJJ\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-0XtUN\",\"type\":\"genericNode\",\"position\":{\"x\":214.00059169497604,\"y\":177.27071061129823},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse HTML\",\"custom_fields\":{\"html_content\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-0XtUN\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":214.00059169497604,\"y\":177.27071061129823}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-ODIcp\",\"type\":\"genericNode\",\"position\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract Hyperlinks\",\"custom_fields\":{\"soup\":null},\"output_types\":[\"list\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-ODIcp\"},\"selected\":true,\"positionAbsolute\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"dragging\":false},{\"width\":384,\"height\":657,\"id\":\"PromptTemplate-H9Udy\",\"type\":\"genericNode\",\"position\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_markdown\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_markdown\",\"display_name\":\"html_markdown\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_links\",\"display_name\":\"html_links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-H9Udy\"},\"selected\":true,\"positionAbsolute\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"dragging\":false},{\"width\":384,\"height\":347,\"id\":\"CustomComponent-OACE0\",\"type\":\"genericNode\",\"position\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":null,\"base_classes\":[\"str\"],\"display_name\":\"URL Input\",\"custom_fields\":{\"url\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-OACE0\"},\"selected\":true,\"positionAbsolute\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"dragging\":false},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-whsQ5\",\"type\":\"genericNode\",\"position\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n    display_name: str = \\\"List to Bullets\\\"\\n    description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n    def build(self, items: list) -> str:\\n        markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n        return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"items\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"items\",\"display_name\":\"items\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"list\",\"list\":true}},\"description\":\"Converts a Python list into Markdown bullet points.\",\"base_classes\":[\"str\"],\"display_name\":\"List to Bullets\",\"custom_fields\":{\"items\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-whsQ5\"},\"selected\":true,\"positionAbsolute\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"dragging\":false}],\"edges\":[{\"source\":\"CustomComponent-FGzJJ\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}\",\"target\":\"CustomComponent-f6nOg\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-f6nOgœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-f6nOg\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-FGzJJ\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-FGzJJ{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}-CustomComponent-f6nOg{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-f6nOgœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-FGzJJ\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}\",\"target\":\"CustomComponent-0XtUN\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-0XtUNœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-0XtUN\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-FGzJJ\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-FGzJJ{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}-CustomComponent-0XtUN{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-0XtUNœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-0XtUN\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-0XtUNœ}\",\"target\":\"CustomComponent-ODIcp\",\"targetHandle\":\"{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-ODIcpœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"soup\",\"id\":\"CustomComponent-ODIcp\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-0XtUN\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-0XtUN{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-0XtUNœ}-CustomComponent-ODIcp{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-ODIcpœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-OACE0\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}\",\"target\":\"CustomComponent-FGzJJ\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œCustomComponent-FGzJJœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"CustomComponent-FGzJJ\",\"inputTypes\":[\"Data\",\"str\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-OACE0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-OACE0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}-CustomComponent-FGzJJ{œfieldNameœ:œurlœ,œidœ:œCustomComponent-FGzJJœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-OACE0\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-OACE0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-OACE0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}-PromptTemplate-H9Udy{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-ODIcp\",\"sourceHandle\":\"{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ODIcpœ}\",\"target\":\"CustomComponent-whsQ5\",\"targetHandle\":\"{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-whsQ5œ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"items\",\"id\":\"CustomComponent-whsQ5\",\"inputTypes\":null,\"type\":\"list\"},\"sourceHandle\":{\"baseClasses\":[\"list\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-ODIcp\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-ODIcp{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ODIcpœ}-CustomComponent-whsQ5{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-whsQ5œ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"selected\":true},{\"source\":\"CustomComponent-whsQ5\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-whsQ5œ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_links\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-whsQ5\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-whsQ5{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-whsQ5œ}-PromptTemplate-H9Udy{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-f6nOg\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-f6nOgœ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_markdown\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-f6nOg\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-f6nOg{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-f6nOgœ}-PromptTemplate-H9Udy{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true}],\"viewport\":{\"x\":343.0346131188585,\"y\":341.89843948642147,\"zoom\":0.24148408223121196}},\"is_component\":false,\"name\":\"Fluffy Ptolemy\",\"description\":\"\",\"id\":\"W5oNW\"}}},\"selected\":false,\"positionAbsolute\":{\"x\":-222,\"y\":682.560723386973}}],\"edges\":[{\"source\":\"ChatOpenAI-NTTcv\",\"target\":\"LLMChain-RQsU1\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-NTTcvœ}\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-RQsU1œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"id\":\"reactflow__edge-ChatOpenAI-NTTcv{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-NTTcvœ}-LLMChain-RQsU1{œfieldNameœ:œllmœ,œidœ:œLLMChain-RQsU1œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-RQsU1\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-NTTcv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 \",\"animated\":false,\"selected\":false},{\"source\":\"PromptTemplate-VELMV\",\"target\":\"LLMChain-RQsU1\",\"sourceHandle\":\"{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-VELMVœ}\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-RQsU1œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"id\":\"reactflow__edge-PromptTemplate-VELMV{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-VELMVœ}-LLMChain-RQsU1{œfieldNameœ:œpromptœ,œidœ:œLLMChain-RQsU1œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-RQsU1\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-VELMV\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 \",\"animated\":false,\"selected\":false}],\"viewport\":{\"x\":298.29888454238517,\"y\":96.95765543775741,\"zoom\":0.5140569133280332}},\"is_component\":false,\"updated_at\":\"2023-12-04T23:23:08.584967\",\"folder\":null,\"id\":\"5df79f1d-f592-4d59-8c0f-9f3c2f6465b1\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Silly Pasteur\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":338,\"id\":\"LLMChain-cHel8\",\"type\":\"genericNode\",\"position\":{\"x\":547.3876889720291,\"y\":299.2057833881307},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-cHel8\"},\"selected\":false,\"positionAbsolute\":{\"x\":547.3876889720291,\"y\":299.2057833881307},\"dragging\":false},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-LA6y0\",\"type\":\"genericNode\",\"position\":{\"x\":-272.94405331278074,\"y\":-603.148171441675},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"0.1\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-LA6y0\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":-272.94405331278074,\"y\":-603.148171441675}},{\"width\":384,\"height\":404,\"id\":\"CustomComponent-ZNoRM\",\"type\":\"genericNode\",\"position\":{\"x\":-103.65741264289085,\"y\":134.62332404764658},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-ZNoRM\"},\"selected\":false,\"positionAbsolute\":{\"x\":-103.65741264289085,\"y\":134.62332404764658},\"dragging\":false},{\"width\":384,\"height\":374,\"id\":\"CustomComponent-zNSTv\",\"type\":\"genericNode\",\"position\":{\"x\":-1233.3963469933499,\"y\":280.77850809220325},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-zNSTv\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":-1233.3963469933499,\"y\":280.77850809220325}},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-Ihm2o\",\"type\":\"genericNode\",\"position\":{\"x\":-554.9404152016002,\"y\":683.6763775860567},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse HTML\",\"custom_fields\":{\"html_content\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-Ihm2o\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":-554.9404152016002,\"y\":683.6763775860567}},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-6ST9l\",\"type\":\"genericNode\",\"position\":{\"x\":76.10921262566495,\"y\":872.9491114949525},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract Hyperlinks\",\"custom_fields\":{\"soup\":null},\"output_types\":[\"list\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-6ST9l\"},\"selected\":false,\"positionAbsolute\":{\"x\":76.10921262566495,\"y\":872.9491114949525},\"dragging\":false},{\"width\":384,\"height\":654,\"id\":\"PromptTemplate-l35W1\",\"type\":\"genericNode\",\"position\":{\"x\":1461.4487148097069,\"y\":1090.896175351284},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"display_name\":\"output_parser\"},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"display_name\":\"input_types\"},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"],\"display_name\":\"input_variables\"},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"display_name\":\"partial_variables\"},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\",\"display_name\":\"template\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false,\"display_name\":\"template_format\"},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"display_name\":\"validate_template\"},\"_type\":\"PromptTemplate\",\"url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_markdown\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_markdown\",\"display_name\":\"html_markdown\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_links\",\"display_name\":\"html_links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-l35W1\"},\"selected\":false,\"positionAbsolute\":{\"x\":1461.4487148097069,\"y\":1090.896175351284},\"dragging\":false},{\"width\":384,\"height\":346,\"id\":\"CustomComponent-iTLf4\",\"type\":\"genericNode\",\"position\":{\"x\":-1924.8908014123388,\"y\":704.5414990162741},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"https://paperswithcode.com/\"}},\"description\":null,\"base_classes\":[\"str\"],\"display_name\":\"URL Input\",\"custom_fields\":{\"url\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-iTLf4\"},\"selected\":false,\"positionAbsolute\":{\"x\":-1924.8908014123388,\"y\":704.5414990162741},\"dragging\":false},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-jWLUz\",\"type\":\"genericNode\",\"position\":{\"x\":627.6164007410564,\"y\":1201.2365384322047},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n    display_name: str = \\\"List to Bullets\\\"\\n    description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n    def build(self, items: list) -> str:\\n        markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n        return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"items\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"items\",\"display_name\":\"items\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"list\",\"list\":true}},\"description\":\"Converts a Python list into Markdown bullet points.\",\"base_classes\":[\"str\"],\"display_name\":\"List to Bullets\",\"custom_fields\":{\"items\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-jWLUz\"},\"selected\":false,\"positionAbsolute\":{\"x\":627.6164007410564,\"y\":1201.2365384322047},\"dragging\":false}],\"edges\":[{\"source\":\"ChatOpenAI-LA6y0\",\"target\":\"LLMChain-cHel8\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-LA6y0œ}\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-cHel8œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"id\":\"reactflow__edge-ChatOpenAI-LA6y0{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-LA6y0œ}-LLMChain-cHel8{œfieldNameœ:œllmœ,œidœ:œLLMChain-cHel8œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-cHel8\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-LA6y0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"CustomComponent-zNSTv\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-zNSTvœ}\",\"target\":\"CustomComponent-ZNoRM\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-ZNoRMœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-ZNoRM\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-zNSTv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-zNSTv{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-zNSTvœ}-CustomComponent-ZNoRM{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-ZNoRMœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":false},{\"source\":\"CustomComponent-zNSTv\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-zNSTvœ}\",\"target\":\"CustomComponent-Ihm2o\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-Ihm2oœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-Ihm2o\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-zNSTv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-zNSTv{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-zNSTvœ}-CustomComponent-Ihm2o{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-Ihm2oœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":false},{\"source\":\"CustomComponent-Ihm2o\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-Ihm2oœ}\",\"target\":\"CustomComponent-6ST9l\",\"targetHandle\":\"{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-6ST9lœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"soup\",\"id\":\"CustomComponent-6ST9l\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-Ihm2o\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-Ihm2o{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-Ihm2oœ}-CustomComponent-6ST9l{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-6ST9lœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":false},{\"source\":\"CustomComponent-iTLf4\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-iTLf4œ}\",\"target\":\"CustomComponent-zNSTv\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œCustomComponent-zNSTvœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"CustomComponent-zNSTv\",\"inputTypes\":[\"Data\",\"str\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-iTLf4\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-iTLf4{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-iTLf4œ}-CustomComponent-zNSTv{œfieldNameœ:œurlœ,œidœ:œCustomComponent-zNSTvœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"selected\":false},{\"source\":\"CustomComponent-iTLf4\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-iTLf4œ}\",\"target\":\"PromptTemplate-l35W1\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"PromptTemplate-l35W1\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-iTLf4\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-iTLf4{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-iTLf4œ}-PromptTemplate-l35W1{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":false},{\"source\":\"CustomComponent-6ST9l\",\"sourceHandle\":\"{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-6ST9lœ}\",\"target\":\"CustomComponent-jWLUz\",\"targetHandle\":\"{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-jWLUzœ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"items\",\"id\":\"CustomComponent-jWLUz\",\"inputTypes\":null,\"type\":\"list\"},\"sourceHandle\":{\"baseClasses\":[\"list\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-6ST9l\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-6ST9l{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-6ST9lœ}-CustomComponent-jWLUz{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-jWLUzœ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"selected\":false},{\"source\":\"CustomComponent-jWLUz\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-jWLUzœ}\",\"target\":\"PromptTemplate-l35W1\",\"targetHandle\":\"{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_links\",\"id\":\"PromptTemplate-l35W1\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-jWLUz\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-jWLUz{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-jWLUzœ}-PromptTemplate-l35W1{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":false},{\"source\":\"CustomComponent-ZNoRM\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ZNoRMœ}\",\"target\":\"PromptTemplate-l35W1\",\"targetHandle\":\"{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_markdown\",\"id\":\"PromptTemplate-l35W1\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-ZNoRM\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-ZNoRM{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ZNoRMœ}-PromptTemplate-l35W1{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":false},{\"source\":\"PromptTemplate-l35W1\",\"sourceHandle\":\"{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-l35W1œ}\",\"target\":\"LLMChain-cHel8\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-cHel8œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-cHel8\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-l35W1\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-PromptTemplate-mJqEg{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-mJqEgœ}-LLMChain-cHel8{œfieldNameœ:œpromptœ,œidœ:œLLMChain-cHel8œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":206.6159172940935,\"y\":79.94375811155385,\"zoom\":0.5140569133280333}},\"is_component\":false,\"updated_at\":\"2023-12-06T00:23:04.515144\",\"folder\":null,\"id\":\"ecfb377a-7e88-405d-8d66-7560735ce446\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Lovelace\",\"description\":\"Smart Chains, Smarter Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-04T23:43:25.925753\",\"folder\":null,\"id\":\"30e71767-6128-40e4-9a6d-b9197b679971\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Custom Component\",\"description\":\"Create any custom component you want!\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\n\\nclass Component(CustomComponent):\\n    display_name: str = \\\"Custom Component\\\"\\n    description: str = \\\"Create any custom component you want!\\\"\\n    documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n    def build_config(self):\\n        return {\\\"param\\\": {\\\"display_name\\\": \\\"Parameter\\\"}}\\n\\n    def build(self, param: Data) -> Data:\\n        return param\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"param\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"param\",\"display_name\":\"Parameter\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Create any custom component you want!\",\"base_classes\":[\"Data\"],\"display_name\":\"Custom Component\",\"custom_fields\":{\"param\":null},\"output_types\":[\"CustomComponent\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-IxJqc\"},\"id\":\"CustomComponent-IxJqc\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-05T22:08:27.080204\",\"folder\":null,\"id\":\"f3c56abb-96d8-4a09-80d3-f60181661b3c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazing Wilson\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-05T23:49:58.272677\",\"folder\":null,\"id\":\"324499a6-17a6-49de-96b1-b88955ed2c3d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nauseous Kowalevski\",\"description\":\"Create, Curate, Communicate with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:27.084387\",\"folder\":null,\"id\":\"e3168485-d31b-472a-907f-faf833bf7824\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Silly Fermi\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.134463\",\"folder\":null,\"id\":\"d0ecea5d-bcf9-4b8e-88f0-3c243d309336\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Friendly Ardinghelli\",\"description\":\"Smart Chains, Smarter Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.138184\",\"folder\":null,\"id\":\"a406912d-b0e2-4954-bef3-ee80c29eca3c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Easley\",\"description\":\"Bridging Prompts for Brilliance.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.162908\",\"folder\":null,\"id\":\"57b32155-4c6e-4823-ad03-8dd09d8abc62\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Varahamihira\",\"description\":\"Create, Chain, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.135644\",\"folder\":null,\"id\":\"18daa0ff-2e5d-457a-95d7-710affec5c4d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jubilant Joliot\",\"description\":\"Language Architect at Work!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.139496\",\"folder\":null,\"id\":\"9255e938-280e-4ce7-91cd-8622126a7d02\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Adoring Carroll\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.162240\",\"folder\":null,\"id\":\"a7a680b9-30b1-4438-ac24-da597de443aa\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Berserk Herschel\",\"description\":\"Your Hub for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:46:02.593504\",\"folder\":null,\"id\":\"37a439b0-7b1d-45e3-b4fa-5c73669bae3b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Distracted Joliot\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:04.845238\",\"folder\":null,\"id\":\"4d23fd0a-8ad5-46b9-bb99-eed4138e7426\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Happy Babbage\",\"description\":\"Flow into the Future of Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:41.899665\",\"folder\":null,\"id\":\"1c8ad5b9-5524-41fe-a762-52c75126b832\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Adoring Brown\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.702031\",\"folder\":null,\"id\":\"9d4c8e79-4904-4a51-a4bb-146c3d8db10e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Focused Mahavira\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.786331\",\"folder\":null,\"id\":\"4ba370d1-1f8e-4a23-99aa-99e2cd9b7cbf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mad Gates\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.838989\",\"folder\":null,\"id\":\"992c3cd3-1d79-4986-8c04-88a34130fa30\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Serene Mcclintock\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.932723\",\"folder\":null,\"id\":\"a65bfd13-44df-4090-aca0-5057e21e9997\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Berserk Feynman\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.931359\",\"folder\":null,\"id\":\"7a05dac5-c005-411d-9994-19d61e71ce78\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sprightly Perlman\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:43.054687\",\"folder\":null,\"id\":\"6db24541-7211-48e6-a792-1a4a99a0ef90\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jolly Colden\",\"description\":\"Flow into the Future of Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:43.078384\",\"folder\":null,\"id\":\"13ac42e8-9124-4bf4-9ea2-28671ef2d9a4\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Kaku\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:50:33.156776\",\"folder\":null,\"id\":\"79262d75-5c62-4b14-b067-f4297f5c912f\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jovial Khayyam\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:51:13.295375\",\"folder\":null,\"id\":\"3b397e74-d8be-4728-9d6c-05f7c78106a7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Mccarthy\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:51:27.632685\",\"folder\":null,\"id\":\"13f4e1fd-45eb-4271-92fd-0d70a31c61d2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cocky Lalande\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:51:54.628983\",\"folder\":null,\"id\":\"9cfd60d8-9311-47b0-b71b-f488f1940bc7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Romantic Mirzakhani\",\"description\":\"Innovation in Interaction with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:52:52.622698\",\"folder\":null,\"id\":\"0d849403-0f75-455d-b4e4-0d622ee3305a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grinning Brown\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:53:06.056636\",\"folder\":null,\"id\":\"8643ba14-52d6-4d36-9981-5fd37de5dd76\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Kickass Watt\",\"description\":\"Transform Your Business with Smart Dialogues.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:53:23.338727\",\"folder\":null,\"id\":\"818d3066-bf08-4bf9-adcd-739f8abbfa5d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Bose\",\"description\":\"Unravel the Art of Articulation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:53:41.218861\",\"folder\":null,\"id\":\"28eff43e-0ecf-47bf-9851-f1492589978e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Optimistic Jennings\",\"description\":\"Create Powerful Connections, Boost Business Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:55:03.681106\",\"folder\":null,\"id\":\"68f59069-bc2a-464f-a983-4b61e32e01af\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pedantic Mirzakhani\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:55:31.761949\",\"folder\":null,\"id\":\"5d981c0e-81b3-44cc-a5be-8f55b92bfed5\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Peppy Murdock\",\"description\":\"Create Powerful Connections, Boost Business Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:56:45.548598\",\"folder\":null,\"id\":\"e812ad47-47e8-422b-b94c-84fd0263c9c8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Berserk Fermat\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:58:50.234270\",\"folder\":null,\"id\":\"82aaf449-e737-4699-9360-929ab6108dc7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tiny Albattani\",\"description\":\"Your Toolkit for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:59:53.946035\",\"folder\":null,\"id\":\"097cb080-274b-40ca-8dde-7900a949568a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cranky Kirch\",\"description\":\"Sculpting Language with Precision.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:00:51.745350\",\"folder\":null,\"id\":\"837d7b5f-8495-46a9-b00e-ad1b7ebb52f4\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Kowalevski\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:02:53.336102\",\"folder\":null,\"id\":\"3ff079c2-d9f9-4da6-a22a-423fa35670ff\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Radiant Stallman\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:03:28.268357\",\"folder\":null,\"id\":\"c8b204dd-3d57-4bc8-aa13-1d559672e75b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grinning Swirles\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:03:51.194455\",\"folder\":null,\"id\":\"a097f083-5880-4cf7-986b-51898bc68e11\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Dreamy Williams\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:04:36.678251\",\"folder\":null,\"id\":\"d9585f63-ce76-42ce-87bc-8e69601ea5c6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Zany Hawking\",\"description\":\"Flow into the Future of Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:05:13.672479\",\"folder\":null,\"id\":\"612a01d5-8c8d-4cc1-8c54-35626b7f4a6d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazing Kilby\",\"description\":\"Your Toolkit for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:10:37.047955\",\"folder\":null,\"id\":\"2d05a598-3cdf-452a-bd5d-b0e569e562e3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Insane Cori\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:18:12.426578\",\"folder\":null,\"id\":\"d1769a4a-c1e9-4d74-9273-1e76cfcf21f3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Compassionate Tesla\",\"description\":\"Graph Your Way to Great Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:18:52.806238\",\"folder\":null,\"id\":\"28c5d9dd-0466-4c80-9e58-b1e061cd358d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jubilant Goldstine\",\"description\":\"Harness the Power of Conversational AI.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:21:44.488510\",\"folder\":null,\"id\":\"b3c57e4f-28a1-4580-bf08-a9484bdd66e8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Elegant Curie\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:23:47.610237\",\"folder\":null,\"id\":\"28fb024e-6ba1-4f5b-83b3-4742b3b8117c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Chandrasekhar\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:24:29.824530\",\"folder\":null,\"id\":\"d2b87cf7-9167-4030-8e9f-b8d9aa0cadee\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Nobel\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:26:51.210699\",\"folder\":null,\"id\":\"c2c9fbac-7d97-40c2-8055-dff608df9414\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Elated Edison\",\"description\":\"Advanced NLP for Groundbreaking Business Solutions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:27:35.822482\",\"folder\":null,\"id\":\"a55561cd-4b25-473f-bde5-884cbabb0d24\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Dazzling Lichterman\",\"description\":\"Building Linguistic Labyrinths.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:29:09.259381\",\"folder\":null,\"id\":\"9c6fe6d4-8311-4fc6-8b02-2a816d7c059d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Distracted Bhaskara\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:31:36.053452\",\"folder\":null,\"id\":\"ef6fc1ab-aff8-45a1-8cd5-bc8e38565e4d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Watt\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:32:26.765250\",\"folder\":null,\"id\":\"499b5351-9c09-4934-9f9d-a24be2fd8b24\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jolly Wien\",\"description\":\"Bridging Prompts for Brilliance.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:33:23.648859\",\"folder\":null,\"id\":\"a57eda91-7f6e-410d-9990-385fe0c724f3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nostalgic Spence\",\"description\":\"Mapping Meaningful Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:34:22.576407\",\"folder\":null,\"id\":\"685f685e-8a1b-4b7e-9e21-6cdd72163c91\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Comical Fermat\",\"description\":\"Create, Connect, Converse.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:35:44.920540\",\"folder\":null,\"id\":\"3e061766-b834-4fa4-ba9c-b060925d9703\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grave Volta\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:36:33.001572\",\"folder\":null,\"id\":\"135f2fd9-e005-40bc-a9bf-c25107388415\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Davinci\",\"description\":\"Create Powerful Connections, Boost Business Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:37:16.208823\",\"folder\":null,\"id\":\"167cdb24-7e1c-475b-893a-cca2f125426c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hilarious Sinoussi\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:38:07.215401\",\"folder\":null,\"id\":\"48113cab-2c04-493f-8c2e-c8d067826aa2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grave Sagan\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:39:19.479656\",\"folder\":null,\"id\":\"28d292dc-e094-4ffe-a657-178892933267\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cranky Hoover\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:40:02.895859\",\"folder\":null,\"id\":\"0c9849b7-b2d6-4d0e-8334-abfb3ae183dd\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Mendeleev\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:40:27.867247\",\"folder\":null,\"id\":\"d78c52e9-1941-4555-9bb9-abd01f176705\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Dubinsky\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:41:23.177402\",\"folder\":null,\"id\":\"5277a04c-b5da-4597-aaa2-a6b66ea11d02\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cocky Poitras\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:42:08.731865\",\"folder\":null,\"id\":\"b0d0c8de-4eea-484a-a068-b13e63f7e71c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pedantic Ptolemy\",\"description\":\"Crafting Conversations, One Node at a Time.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:42:25.658996\",\"folder\":null,\"id\":\"b6f155e2-03eb-4232-9bab-145463382fe9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Loving Cray\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:43:57.530112\",\"folder\":null,\"id\":\"b75c10ca-9ecb-432b-88ab-e1847e836e22\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Pasteur\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:44:58.979393\",\"folder\":null,\"id\":\"3710eccb-e7a7-41d5-9339-d9c301515d17\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Gates\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:45:42.744174\",\"folder\":null,\"id\":\"fdd2271e-92f6-4349-8c01-2ec0e9e73f13\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Determined Khorana\",\"description\":\"Beyond Text Generation - Unleashing Business Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:46:10.084684\",\"folder\":null,\"id\":\"88b49a97-0888-4fea-8d9b-6ac2cc6d158e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Booth\",\"description\":\"Design Dialogues with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:46:41.577750\",\"folder\":null,\"id\":\"629afe54-8796-45be-a570-e3ac79c60792\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jubilant Mendeleev\",\"description\":\"Chain the Words, Master Language!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:47:22.631243\",\"folder\":null,\"id\":\"7bf481b0-73fe-4f5b-a3d4-1263d9d8e827\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Clever Varahamihira\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:49:51.026960\",\"folder\":null,\"id\":\"df9e86b6-56c9-4848-9010-102615314766\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sleepy Stallman\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:50:14.932236\",\"folder\":null,\"id\":\"3e66994c-9b7a-4b85-a917-65d1959d7352\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Modest Wozniak\",\"description\":\"Advanced NLP for Groundbreaking Business Solutions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:51:13.811894\",\"folder\":null,\"id\":\"d10f924a-5780-4255-9f41-3e102ae03e84\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hopeful Mirzakhani\",\"description\":\"Graph Your Way to Great Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:52:23.906908\",\"folder\":null,\"id\":\"f3378fa8-ccaf-4a3b-90d6-b8ab0c4e481f\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Awesome Joule\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:52:43.863440\",\"folder\":null,\"id\":\"deaa50e7-a8b1-46b1-856c-334ee781e1c2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Peppy Shockley\",\"description\":\"Generate, Innovate, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:53:43.299699\",\"folder\":null,\"id\":\"c72eac2c-d924-40c6-a102-da524216d090\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Zany Dewey\",\"description\":\"Flow into the Future of Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:54:18.848827\",\"folder\":null,\"id\":\"d9425324-bb60-462e-b431-90a536f2bc76\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gloomy Joliot\",\"description\":\"Language Engineering Excellence.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:12.348608\",\"folder\":null,\"id\":\"621ba134-3fac-487c-98cd-96941439f1be\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Backstabbing Franklin\",\"description\":\"Craft Language Connections Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.491824\",\"folder\":null,\"id\":\"86ca9773-c7b7-4a1a-859a-6cbe0ddff206\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sharp Swartz\",\"description\":\"Beyond Text Generation - Unleashing Business Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.524414\",\"folder\":null,\"id\":\"da1c02b7-d608-4498-9946-7d02f55fa103\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Serene Volta\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.641432\",\"folder\":null,\"id\":\"8d5dd998-6b51-4f65-8331-086a7f3b11d7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Focused Lichterman\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.746120\",\"folder\":null,\"id\":\"942027d3-e2ea-48c6-8279-0a41b54e8862\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Einstein\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.746904\",\"folder\":null,\"id\":\"9e9b6298-1073-4297-8ecc-3c620b432e70\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cocky Planck\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.747420\",\"folder\":null,\"id\":\"7cd60c83-b797-4e60-af6d-cbc540657943\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Suspicious Zobell\",\"description\":\"Innovation in Interaction, Revolution in Revenue.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.749951\",\"folder\":null,\"id\":\"dab08306-9521-4e15-aa11-e6a6a4e210f8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Small Knuth\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:16.772119\",\"folder\":null,\"id\":\"c9149590-636a-44f5-aaae-45a4e78fe4df\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Wright\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:52.954568\",\"folder\":null,\"id\":\"6b23b2ad-c07c-46f6-b9ad-268783d1712e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Vibrant Lalande\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.656156\",\"folder\":null,\"id\":\"ece3bcf6-a147-4559-862e-cacff9db5f48\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Happy Gauss\",\"description\":\"The Pinnacle of Prompt Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.717991\",\"folder\":null,\"id\":\"252b6021-ecad-4eaf-9e2f-106c4c89c496\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gigantic Rosalind\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.736261\",\"folder\":null,\"id\":\"b8cb6d8d-c0fb-4e8d-a46e-2c608dc8a714\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Adoring Hubble\",\"description\":\"Powerful Prompts, Perfectly Positioned.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.769546\",\"folder\":null,\"id\":\"553a67db-7225-474c-978e-8a40cde2bfb2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Mclean\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.981063\",\"folder\":null,\"id\":\"e0865007-4d80-4edf-87ab-9e8d2892d719\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Trusting Murdock\",\"description\":\"Uncover Business Opportunities with NLP.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.982286\",\"folder\":null,\"id\":\"1021cd20-66e0-4b81-9c79-bfe729774d20\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Perky Riemann\",\"description\":\"Powerful Prompts, Perfectly Positioned.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.983216\",\"folder\":null,\"id\":\"089074d3-8a1e-4d85-a59d-b4717090e4d3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Small Tesla\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:00:35.704142\",\"folder\":null,\"id\":\"beb49d88-255e-4db4-931b-4ab4358f1097\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Boyd\",\"description\":\"Smart Chains, Smarter Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:01:13.569507\",\"folder\":null,\"id\":\"75b5ab8d-e0c0-43cf-912b-8578550e198a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Small Babbage\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:01:27.944868\",\"folder\":null,\"id\":\"503edd55-8f70-43e5-87fb-2324eaf62336\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Bose\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:02:40.122079\",\"folder\":null,\"id\":\"ae4f2992-1a23-4a43-bec6-68b823935762\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Coulomb\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.263237\",\"folder\":null,\"id\":\"a2a464db-b02a-4440-ad9e-7b552ee6c027\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Drunk Newton\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.883766\",\"folder\":null,\"id\":\"1a5d9af7-5a96-4035-a09c-e15741785828\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jovial Pasteur\",\"description\":\"Your Hub for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.933083\",\"folder\":null,\"id\":\"04b94873-0828-41dc-a850-fd4132c9b9f1\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Playful Spence\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.967685\",\"folder\":null,\"id\":\"47003dc2-7884-48a3-aa66-e4185079f4d9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cheerful Noyce\",\"description\":\"Your Passport to Linguistic Landscapes.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.983198\",\"folder\":null,\"id\":\"13769cb4-2e15-4d54-a28a-c97dc15db58c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Awesome Edison\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:16.018879\",\"folder\":null,\"id\":\"453dacde-6b10-406b-a5b3-f90f44be6899\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Upbeat Snyder\",\"description\":\"Powerful Prompts, Perfectly Positioned.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:16.205689\",\"folder\":null,\"id\":\"9544fac9-3002-47aa-86b9-102844fe9649\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tender Khorana\",\"description\":\"Chain the Words, Master Language!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:16.243434\",\"folder\":null,\"id\":\"90498ef6-34f9-45c8-8cd0-fe6a36a26f41\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Elated Albattani\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:05:07.775497\",\"folder\":null,\"id\":\"9577c416-8ce8-48f6-ad6d-ab2e003bb415\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Charming Goodall\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:07:52.139318\",\"folder\":null,\"id\":\"f10dc08e-b9c7-44b3-8837-b95aee2f6dbb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hilarious Ramanujan\",\"description\":\"Harness the Power of Conversational AI.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:08:22.448480\",\"folder\":null,\"id\":\"c864bd8c-67cd-465f-bf7d-7a35c7df37f3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tender Mclean\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:09:56.507826\",\"folder\":null,\"id\":\"f0c13b19-ae23-40e6-88d6-d135897ee100\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grave Hawking\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:10:27.169757\",\"folder\":null,\"id\":\"0afb91b4-8f41-4270-900a-f5de647d45ad\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gloomy Lovelace\",\"description\":\"Your Passport to Linguistic Landscapes.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:11:02.292233\",\"folder\":null,\"id\":\"0f1e5dcf-8769-4157-b495-5f215b490107\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Fervent Kilby\",\"description\":\"Empowering Enterprises with Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:11:46.960966\",\"folder\":null,\"id\":\"310d03d9-dd50-4946-9a27-38ee06906212\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Admiring Almeida\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:12:24.475101\",\"folder\":null,\"id\":\"3cbc8fc2-a86f-4177-9a1c-a833b2a24283\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Elated Roentgen\",\"description\":\"Empowering Enterprises with Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:06.753571\",\"folder\":null,\"id\":\"c508e922-29e9-4234-84ae-505c5bdf41c1\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Perky Poitras\",\"description\":\"Chain the Words, Master Language!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.754605\",\"folder\":null,\"id\":\"1431df05-1b6f-41af-a063-a18d26a946ef\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tender Khayyam\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.791627\",\"folder\":null,\"id\":\"344e03fb-fd49-4e87-be67-7dce04ba655b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Zealous Mayer\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.803889\",\"folder\":null,\"id\":\"8b3ff1cb-3a6c-46ee-b09a-0e9f9f13a8b9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tiny Ramanujan\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.822583\",\"folder\":null,\"id\":\"18961e76-f4b1-4968-926a-fed22cb04f69\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cheerful Franklin\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.854440\",\"folder\":null,\"id\":\"0e0ee854-ab46-4333-a848-2e1239a24334\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Serene Swirles\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.988932\",\"folder\":null,\"id\":\"cc7b8238-3d15-4f78-bd0c-8311691c9ff8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sleepy Swartz\",\"description\":\"Uncover Business Opportunities with NLP.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:08.028688\",\"folder\":null,\"id\":\"123369f9-c83c-4ed3-93b6-78ca29c271cf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cranky Kowalevski\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.097607\",\"folder\":null,\"id\":\"ed4b1490-e9e5-46bf-b337-166b48eaadd6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sprightly Golick\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.617772\",\"folder\":null,\"id\":\"9d1be311-c618-4e3e-aeb1-4161ab37850e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Boring Newton\",\"description\":\"Generate, Innovate, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.646124\",\"folder\":null,\"id\":\"63a75f99-1745-40d3-9e27-3d19a143be45\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sprightly Noyce\",\"description\":\"Beyond Text Generation - Unleashing Business Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.685781\",\"folder\":null,\"id\":\"b418ca87-eb17-42e8-b789-3fcb0cab3ddb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Fluffy Fermat\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.705984\",\"folder\":null,\"id\":\"93802b07-eee9-4a2b-8691-7d9a231bd67e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Stoic Payne\",\"description\":\"Beyond Text Generation - Unleashing Business Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.723990\",\"folder\":null,\"id\":\"d62df661-0ae5-4b41-a9fb-71cb2e46ad52\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Darwin\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.818343\",\"folder\":null,\"id\":\"d1f62248-415c-474a-bfa6-3509a528a33b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Focused Thompson\",\"description\":\"Transform Your Business with Smart Dialogues.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.925999\",\"folder\":null,\"id\":\"d2267176-f020-4c52-90a4-7f944d7c1749\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Admiring Dewey\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:07.400402\",\"folder\":null,\"id\":\"8cf1ac8d-d34d-4e8a-a9da-be44672e1dfb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Prickly Zuse\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.384611\",\"folder\":null,\"id\":\"bae3cb5b-0f1b-4e95-bf58-7eab38da3d73\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hungry Zuse\",\"description\":\"The Pinnacle of Prompt Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.436591\",\"folder\":null,\"id\":\"4dfafe3e-e9ef-405d-be72-550084411d69\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Khayyam\",\"description\":\"Design Dialogues with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.435958\",\"folder\":null,\"id\":\"e0f81215-dc55-4b5a-b8cf-6e2fcbf297a7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Big Mendel\",\"description\":\"Innovation in Interaction with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.470080\",\"folder\":null,\"id\":\"5022a71c-da47-4975-a4d0-6d2d9e760d3d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Inquisitive Poitras\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.484430\",\"folder\":null,\"id\":\"4f1ff9e3-3500-404c-80af-2010bc46cdcb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Joyous Jones\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.661306\",\"folder\":null,\"id\":\"77af3e47-c2cc-42f6-99e1-78589439a447\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Exuberant Khayyam\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.662877\",\"folder\":null,\"id\":\"6f3e2e56-b329-47e3-86cc-024c29203016\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Dazzling Visvesvaraya\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.092917\",\"folder\":null,\"id\":\"449ac0ee-ee29-4a9f-9aff-fd6a86624457\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nostalgic Tesla\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.630382\",\"folder\":null,\"id\":\"a2136ed3-dc75-4a8f-ab34-6887ff955b23\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Noether\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.652058\",\"folder\":null,\"id\":\"fd1080f8-db07-481a-b2ba-60f67fcb20a6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Dazzling Pasteur\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.688661\",\"folder\":null,\"id\":\"d534d5e1-92aa-4fb2-a795-7071c4feba47\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Comical Sinoussi\",\"description\":\"Bridging Prompts for Brilliance.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.741385\",\"folder\":null,\"id\":\"85323170-c066-4d8f-acb0-1b142241389e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Small Ramanujan\",\"description\":\"Uncover Business Opportunities with NLP.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.790086\",\"folder\":null,\"id\":\"b0d18432-21ab-404b-acb6-57ef97353fad\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sick Joliot\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":442,\"id\":\"OpenAIEmbeddings-rVj1B\",\"type\":\"genericNode\",\"position\":{\"x\":-100.23754663035719,\"y\":-718.7575880388187},\"data\":{\"type\":\"OpenAIEmbeddings\",\"node\":{\"template\":{\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1000,\"password\":false,\"name\":\"chunk_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"deployment\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"embedding_ctx_length\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":8191,\"password\":false,\"name\":\"embedding_ctx_length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"password\":false,\"name\":\"headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_type\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_version\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"show_progress_bar\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"show_progress_bar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"skip_empty\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"skip_empty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_enabled\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":true,\"name\":\"tiktoken_enabled\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"OpenAIEmbeddings\"},\"description\":\"OpenAI embedding models.\",\"base_classes\":[\"OpenAIEmbeddings\",\"Embeddings\"],\"display_name\":\"OpenAIEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAIEmbeddings-rVj1B\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-100.23754663035719,\"y\":-718.7575880388187}}],\"edges\":[],\"viewport\":{\"x\":267.7156633365312,\"y\":716.9644817529361,\"zoom\":0.7169776240079139}},\"is_component\":false,\"updated_at\":\"2023-12-08T18:52:26.999440\",\"folder\":null,\"id\":\"be39958a-ef42-4fa8-8e54-b611e56b5c97\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Graceful Lumiere\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:11.012069\",\"folder\":null,\"id\":\"f7dcecfd-533c-4f40-9dcb-f213962ed1a2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"aaaaa\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":442,\"id\":\"OpenAIEmbeddings-P6Z0D\",\"type\":\"genericNode\",\"position\":{\"x\":-100.23754663035719,\"y\":-718.7575880388187},\"data\":{\"type\":\"OpenAIEmbeddings\",\"node\":{\"template\":{\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1000,\"password\":false,\"name\":\"chunk_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"deployment\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"embedding_ctx_length\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":8191,\"password\":false,\"name\":\"embedding_ctx_length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"password\":false,\"name\":\"headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_type\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_version\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"show_progress_bar\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"show_progress_bar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"skip_empty\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"skip_empty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_enabled\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":true,\"name\":\"tiktoken_enabled\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"_type\":\"OpenAIEmbeddings\"},\"description\":\"OpenAI embedding models.\",\"base_classes\":[\"OpenAIEmbeddings\",\"Embeddings\"],\"display_name\":\"OpenAIEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAIEmbeddings-P6Z0D\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-100.23754663035719,\"y\":-718.7575880388187}}],\"edges\":[],\"viewport\":{\"x\":266.7156633365312,\"y\":657.9644817529361,\"zoom\":0.7169776240079139}},\"is_component\":false,\"updated_at\":\"2023-12-08T19:05:14.503144\",\"folder\":null,\"id\":\"c2411a20-57c6-44cc-a0d0-2c857453633d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Aryabhata\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":459,\"id\":\"CustomComponent-Qhbd7\",\"type\":\"genericNode\",\"position\":{\"x\":-224.36198532285903,\"y\":-39.03047722134913},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nfrom openai import OpenAI\\n\\n\\nclass Component(CustomComponent):\\n    display_name: str = \\\"OpenAI STT english translator\\\"\\n    description: str = \\\"Transcript and translate any audio to english\\\"\\n    documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n    def build_config(self):\\n        return {\\\"audio_path\\\":{\\\"display_name\\\":\\\"Audio path\\\",\\\"input_types\\\":[\\\"str\\\"]},\\\"openAI_key\\\":{\\\"display_name\\\":\\\"OpenAI key\\\",\\\"password\\\":True}}\\n\\n    def build(self,audio_path:str,openAI_key:str) -> str:\\n        client = OpenAI(api_key=openAI_key)\\n        audio_file= open(audio_path, \\\"rb\\\")\\n        transcript = client.audio.translations.create(\\n          model=\\\"whisper-1\\\", \\n          file=audio_file\\n        )\\n        self.status = transcript.text\\n        return transcript.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"audio_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"audio_path\",\"display_name\":\"Audio path\",\"advanced\":false,\"input_types\":[\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"aaaaa\"},\"openAI_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openAI_key\",\"display_name\":\"OpenAI key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Transcript and translate any audio to english\",\"base_classes\":[\"str\"],\"display_name\":\"OpenAI STT english tra\",\"custom_fields\":{\"audio_path\":null,\"openAI_key\":null},\"output_types\":[\"str\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-Qhbd7\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-224.36198532285903,\"y\":-39.03047722134913}}],\"edges\":[],\"viewport\":{\"x\":433.8372868055629,\"y\":250.9611989970935,\"zoom\":0.8467453123625275}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:16:56.971879\",\"folder\":null,\"id\":\"122eee5d-9734-4e51-9da5-b39bead64a8d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Wing\",\"description\":\"Your Toolkit for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:23.227017\",\"folder\":null,\"id\":\"171d0063-6446-4c6a-8f5b-786a38951d44\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mad Boyd\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.063781\",\"folder\":null,\"id\":\"3a7af50c-6555-4004-a86e-1ea37e477900\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Boring Dewey\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.065404\",\"folder\":null,\"id\":\"dc4b4235-a550-41e2-9ddb-bcb352a1bc03\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nauseous Carroll\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.087501\",\"folder\":null,\"id\":\"9550e2bf-db7a-41f5-84e5-177a181bbeda\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Silly Engelbart\",\"description\":\"Generate, Innovate, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.112543\",\"folder\":null,\"id\":\"6a3a24bb-01cb-4d8e-8d17-0dc92d257322\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sassy Khayyam\",\"description\":\"Innovation in Interaction, Revolution in Revenue.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.147631\",\"folder\":null,\"id\":\"8d372f5e-ca12-4ea8-a1a1-8846afa72692\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Bell\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.212921\",\"folder\":null,\"id\":\"800f8785-0f41-4db3-aef8-9e3de5250526\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sleepy Bassi\",\"description\":\"Unleashing Business Potential through Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.395729\",\"folder\":null,\"id\":\"4589607a-065b-4a8f-ba52-5045d7b04086\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Volhard\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.263971\",\"folder\":null,\"id\":\"b2440ed8-44fa-4684-adf7-b5e84bff6577\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Ecstatic Poincare\",\"description\":\"Your Passport to Linguistic Landscapes.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.377270\",\"folder\":null,\"id\":\"b996f514-e0b8-432f-969b-7276630a8f4b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grave Zuse\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.406385\",\"folder\":null,\"id\":\"6e2e9c12-0afc-499e-acdd-adf4b5f7d4fc\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Big Hopper\",\"description\":\"Conversation Catalyst Engine.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.413014\",\"folder\":null,\"id\":\"e020f1a5-aa12-45e7-ba50-6eb64a735e60\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Jang\",\"description\":\"Conversation Catalyst Engine.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.433045\",\"folder\":null,\"id\":\"ee58f892-b7b2-408e-b4b9-9d862fc315aa\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Ohm\",\"description\":\"Promptly Ingenious!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.403404\",\"folder\":null,\"id\":\"023a1fc3-8807-4167-b6b2-f4e5daf036f1\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Distracted Degrasse\",\"description\":\"Bridging Prompts for Brilliance.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.411655\",\"folder\":null,\"id\":\"085f106f-c1e9-4a0f-ba31-d2fafe685d9c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Exuberant Volta\",\"description\":\"Catalyzing Business Growth through Conversational AI.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.408697\",\"folder\":null,\"id\":\"14481bb5-1353-452f-9359-d38c9419d79c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Bose\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:21.774940\",\"folder\":null,\"id\":\"e9316292-4ee1-441b-8327-0b09a7831fe9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Thirsty Easley\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.416556\",\"folder\":null,\"id\":\"668806ba-3efa-44de-aeb7-4ac082ba9172\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Joyous Mestorf\",\"description\":\"Generate, Innovate, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.484048\",\"folder\":null,\"id\":\"3fc0a371-aada-4450-9d17-33d3cc05c870\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Playful Franklin\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.509095\",\"folder\":null,\"id\":\"af967c98-5f08-4ee2-b1ce-6c16b4f9ebe2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Bhaskara\",\"description\":\"Empowering Enterprises with Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.508465\",\"folder\":null,\"id\":\"758c4164-b521-45d0-a15f-d49480e312eb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Funky Edison\",\"description\":\"Unravel the Art of Articulation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.602296\",\"folder\":null,\"id\":\"f9d3d30f-8859-433f-bafc-ccf1a7196e35\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Silly Ride\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.604061\",\"folder\":null,\"id\":\"0142bca5-eb61-42ed-9917-70c4c0f54eb0\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Noyce\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.603113\",\"folder\":null,\"id\":\"0b63d036-4669-4ceb-8ea4-34035340df77\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cocky Bhabha\",\"description\":\"Language Engineering Excellence.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.345767\",\"folder\":null,\"id\":\"8b9a66d4-a924-4b84-a2b5-5dd0645ac07a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Thirsty Zobell\",\"description\":\"Unleashing Business Potential through Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.722319\",\"folder\":null,\"id\":\"c912fd6b-b32d-409f-a0e5-c6249b066429\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Fervent Shaw\",\"description\":\"Language Architect at Work!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.750779\",\"folder\":null,\"id\":\"9d755cd4-c652-43e0-a68d-75a5475ce7a3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Giggly Newton\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.786602\",\"folder\":null,\"id\":\"0d3af7de-1ada-4c43-a69f-1bfad370ccfc\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Modest Yalow\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.792245\",\"folder\":null,\"id\":\"b6444376-4162-436b-8b40-f5a6afc850db\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sad Bhabha\",\"description\":\"Empowering Enterprises with Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.890349\",\"folder\":null,\"id\":\"d90af439-fb34-4d27-98f2-06f7f9a9ed8c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Spirited Hoover\",\"description\":\"The Pinnacle of Prompt Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.905750\",\"folder\":null,\"id\":\"31597ce2-de3c-490b-9ead-3f702f63cfd9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Trusting Davinci\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:08.001400\",\"folder\":null,\"id\":\"b43c63e9-a257-4a53-8acc-049e13706ac2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"23\",\"description\":\"23\",\"data\":{\"nodes\":[{\"width\":384,\"height\":467,\"id\":\"PromptTemplate-K7xiS\",\"type\":\"genericNode\",\"position\":{\"x\":-658.2250903773149,\"y\":809.352046606987},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"dasdas\",\"dasdasd\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"{dasdas}\\n{dasdasd}\\n\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"dasdas\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"dasdas\",\"display_name\":\"dasdas\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"dasdasd\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"dasdasd\",\"display_name\":\"dasdasd\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"PromptTemplate\",\"BasePromptTemplate\",\"StringPromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"dasdas\",\"dasdasd\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-K7xiS\"},\"selected\":false,\"positionAbsolute\":{\"x\":-658.2250903773149,\"y\":809.352046606987},\"dragging\":false},{\"width\":384,\"height\":366,\"id\":\"AirbyteJSONLoader-DXfcM\",\"type\":\"genericNode\",\"position\":{\"x\":-1110.8267574563533,\"y\":569.1107380883907},\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"suffixes\":[\".json\"],\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\"json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-DXfcM\"},\"selected\":false,\"positionAbsolute\":{\"x\":-1110.8267574563533,\"y\":569.1107380883907},\"dragging\":false},{\"width\":384,\"height\":376,\"id\":\"PromptRunner-ckWMH\",\"type\":\"genericNode\",\"position\":{\"x\":-1149.4746387825978,\"y\":992.3970573758324},\"data\":{\"type\":\"PromptRunner\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.prompts import PromptTemplate\\nfrom langchain.schema import Document\\n\\n\\nclass PromptRunner(CustomComponent):\\n    display_name: str = \\\"Prompt Runner\\\"\\n    description: str = \\\"Run a Chain with the given PromptTemplate\\\"\\n    beta: bool = True\\n    field_config = {\\n        \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n        \\\"prompt\\\": {\\n            \\\"display_name\\\": \\\"Prompt Template\\\",\\n            \\\"info\\\": \\\"Make sure the prompt has all variables filled.\\\",\\n        },\\n        \\\"code\\\": {\\\"show\\\": False},\\n    }\\n\\n    def build(self, llm: BaseLLM, prompt: PromptTemplate, inputs: dict = {}) -> Document:\\n        chain = prompt | llm\\n        # The input is an empty dict because the prompt is already filled\\n        result = chain.invoke(input=inputs)\\n        if hasattr(result, \\\"content\\\"):\\n            result = result.content\\n        self.repr_value = result\\n        return Document(page_content=str(result))\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"inputs\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"inputs\",\"display_name\":\"inputs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLM\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt Template\",\"advanced\":false,\"dynamic\":false,\"info\":\"Make sure the prompt has all variables filled.\",\"type\":\"PromptTemplate\",\"list\":false}},\"description\":\"Run a Chain with the given PromptTemplate\",\"base_classes\":[\"Document\"],\"display_name\":\"Prompt Runner\",\"custom_fields\":{\"inputs\":null,\"llm\":null,\"prompt\":null},\"output_types\":[\"PromptRunner\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"PromptRunner-ckWMH\"},\"selected\":false,\"positionAbsolute\":{\"x\":-1149.4746387825978,\"y\":992.3970573758324},\"dragging\":false}],\"edges\":[{\"source\":\"PromptRunner-ckWMH\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œPromptRunnerœ,œidœ:œPromptRunner-ckWMHœ}\",\"target\":\"PromptTemplate-K7xiS\",\"targetHandle\":\"{œfieldNameœ:œdasdasdœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"dasdasd\",\"id\":\"PromptTemplate-K7xiS\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"PromptRunner\",\"id\":\"PromptRunner-ckWMH\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-PromptRunner-ckWMH{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œPromptRunnerœ,œidœ:œPromptRunner-ckWMHœ}-PromptTemplate-K7xiS{œfieldNameœ:œdasdasdœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\"},{\"source\":\"AirbyteJSONLoader-DXfcM\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œAirbyteJSONLoaderœ,œidœ:œAirbyteJSONLoader-DXfcMœ}\",\"target\":\"PromptTemplate-K7xiS\",\"targetHandle\":\"{œfieldNameœ:œdasdasœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"dasdas\",\"id\":\"PromptTemplate-K7xiS\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"AirbyteJSONLoader\",\"id\":\"AirbyteJSONLoader-DXfcM\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-AirbyteJSONLoader-DXfcM{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œAirbyteJSONLoaderœ,œidœ:œAirbyteJSONLoader-DXfcMœ}-PromptTemplate-K7xiS{œfieldNameœ:œdasdasœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\"}],\"viewport\":{\"x\":721.09842496776,\"y\":-303.59762799439625,\"zoom\":0.6417129487814537}},\"is_component\":false,\"updated_at\":\"2023-12-08T22:52:14.560323\",\"folder\":null,\"id\":\"8533c46e-21fd-4b92-b68e-1086ea86c72d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Stonebraker\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:26:42.332360\",\"folder\":null,\"id\":\"92bc0875-4a73-44f2-9410-3b8342e404bf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search (1)\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n    display_name: str = \\\"Metaphor Search\\\"\\n    description: str = \\\"Search in Metaphor with a custom string.\\\"\\n    beta = True\\n    \\n    def build_config(self):\\n        return {\\n        \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"},   \\n        \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n        \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\",  \\\"is_list\\\": True},\\n        \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n        \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n        \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n        \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n    }\\n\\n    def build(\\n        self,\\n        methaphor_client: Data,\\n        query: str,\\n        search_type: str='keyword',\\n        search_num_results: int = 5,\\n        include_domains: List[str]= [\\\"youtube.com\\\"],\\n        use_autoprompt: bool = False,\\n        start_date: str=\\\"2023-01-01\\\",\\n        \\n    ) -> Data:\\n        \\n        results = []\\n        for domain in include_domains:\\n            response = methaphor_client.search(\\n                    query,\\n                    num_results=int(search_num_results),\\n                    include_domains=[domain],\\n                    use_autoprompt=use_autoprompt,\\n                    type=search_type,\\n                    # start_crawl_date=start_date,\\n                    start_published_date=start_date\\n                )\\n            results.extend(response.results)\\n    \\n        self.repr_value = results\\n\\n        return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-dMB5d\"},\"id\":\"CustomComponent-dMB5d\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:43.668665\",\"folder\":null,\"id\":\"912265df-9b87-4b30-a585-1ca59b944391\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search (2)\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n    display_name: str = \\\"Metaphor Search\\\"\\n    description: str = \\\"Search in Metaphor with a custom string.\\\"\\n    beta = True\\n    \\n    def build_config(self):\\n        return {\\n        \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"},   \\n        \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n        \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\",  \\\"is_list\\\": True},\\n        \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n        \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n        \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n        \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n    }\\n\\n    def build(\\n        self,\\n        methaphor_client: Data,\\n        query: str,\\n        search_type: str='keyword',\\n        search_num_results: int = 5,\\n        include_domains: List[str]= [\\\"youtube.com\\\"],\\n        use_autoprompt: bool = False,\\n        start_date: str=\\\"2023-01-01\\\",\\n        \\n    ) -> Data:\\n        \\n        results = []\\n        for domain in include_domains:\\n            response = methaphor_client.search(\\n                    query,\\n                    num_results=int(search_num_results),\\n                    include_domains=[domain],\\n                    use_autoprompt=use_autoprompt,\\n                    type=search_type,\\n                    # start_crawl_date=start_date,\\n                    start_published_date=start_date\\n                )\\n            results.extend(response.results)\\n    \\n        self.repr_value = results\\n\\n        return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-ipifC\"},\"id\":\"CustomComponent-ipifC\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:49.799612\",\"folder\":null,\"id\":\"ca83ee08-2f93-427d-9897-80fef6dd5447\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n    display_name: str = \\\"Metaphor Search\\\"\\n    description: str = \\\"Search in Metaphor with a custom string.\\\"\\n    beta = True\\n    \\n    def build_config(self):\\n        return {\\n        \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"},   \\n        \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n        \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\",  \\\"is_list\\\": True},\\n        \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n        \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n        \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n        \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n    }\\n\\n    def build(\\n        self,\\n        methaphor_client: Data,\\n        query: str,\\n        search_type: str='keyword',\\n        search_num_results: int = 5,\\n        include_domains: List[str]= [\\\"youtube.com\\\"],\\n        use_autoprompt: bool = False,\\n        start_date: str=\\\"2023-01-01\\\",\\n        \\n    ) -> Data:\\n        \\n        results = []\\n        for domain in include_domains:\\n            response = methaphor_client.search(\\n                    query,\\n                    num_results=int(search_num_results),\\n                    include_domains=[domain],\\n                    use_autoprompt=use_autoprompt,\\n                    type=search_type,\\n                    # start_crawl_date=start_date,\\n                    start_published_date=start_date\\n                )\\n            results.extend(response.results)\\n    \\n        self.repr_value = results\\n\\n        return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-Y4qL7\"},\"id\":\"CustomComponent-Y4qL7\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:53.719960\",\"folder\":null,\"id\":\"5847602b-769a-4a82-82e8-a70f54a59929\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Williams\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:27:45.691254\",\"folder\":null,\"id\":\"0e3bdba9-127a-4399-81a4-2865b70a4a47\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Shared Component\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":328,\"id\":\"CSVAgent-TK9Ea\",\"type\":\"genericNode\",\"position\":{\"x\":251.25514772667083,\"y\":160.7424529887874},\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"beta\":false,\"error\":null},\"id\":\"CSVAgent-TK9Ea\"},\"positionAbsolute\":{\"x\":251.25514772667083,\"y\":160.7424529887874}}],\"edges\":[],\"viewport\":{\"x\":104.85568116317398,\"y\":88.26375874183478,\"zoom\":0.7169776240079145}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:28:34.119070\",\"folder\":null,\"id\":\"29c1a247-47b0-457b-8666-7c0a67dc72b0\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"teste cristhian\",\"description\":\"11111\",\"data\":{\"nodes\":[{\"width\":384,\"height\":328,\"id\":\"CSVAgent-P5wrB\",\"type\":\"genericNode\",\"position\":{\"x\":251.25514772667083,\"y\":160.7424529887874},\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"beta\":false,\"error\":null},\"id\":\"CSVAgent-P5wrB\"},\"positionAbsolute\":{\"x\":251.25514772667083,\"y\":160.7424529887874}},{\"width\":384,\"height\":626,\"id\":\"OpenAI-zpihD\",\"type\":\"genericNode\",\"position\":{\"x\":-56.983202536768374,\"y\":61.715652677908665},\"data\":{\"type\":\"OpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"batch_size\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":20,\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"best_of\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"best_of\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"frequency_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"frequency_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"logit_bias\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"logit_bias\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-babbage-001\",\"password\":false,\"options\":[\"text-davinci-003\",\"text-davinci-002\",\"text-curie-001\",\"text-babbage-001\",\"text-ada-001\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false,\"value\":\"dasdasdasdsadasdas\"},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"presence_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"presence_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"1.4\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"top_p\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"top_p\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"OpenAI\"},\"description\":\"OpenAI large language models.\",\"base_classes\":[\"OpenAI\",\"BaseLanguageModel\",\"BaseLLM\",\"BaseOpenAI\"],\"display_name\":\"OpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAI-zpihD\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-56.983202536768374,\"y\":61.715652677908665}}],\"edges\":[],\"viewport\":{\"x\":104.85568116317398,\"y\":88.26375874183478,\"zoom\":0.7169776240079145}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:40:48.453096\",\"folder\":null,\"id\":\"2e59d013-2acb-49a6-915b-9231a7e6eb58\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVAgent (1)\",\"description\":\"Construct a CSV agent from a CSV and tools.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVAgent-jsHqy\"},\"id\":\"CSVAgent-jsHqy\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:31:17.317322\",\"folder\":null,\"id\":\"ab1034a9-9b5b-4c65-bf6e-9f098a403942\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Suspicious Wilsonfasdfsd\",\"description\":\"Building Linguistic Labyrinths.fasdfads\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T14:43:45.298121\",\"folder\":null,\"id\":\"7d91c0c5-fba6-4c60-b4d1-11d430ef357a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (1)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-pAHh6\"},\"id\":\"AirbyteJSONLoader-pAHh6\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:47:58.573137\",\"folder\":null,\"id\":\"f0cc4292-97cc-4748-803d-949e30dcf661\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"ff2\":\"d3bbd\"},{\"w\":\"bvd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-0zU2Q\"},\"id\":\"AirbyteJSONLoader-0zU2Q\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:50:09.035318\",\"folder\":null,\"id\":\"5e3c0d55-1a00-4e15-9821-0c625c6415ff\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVAgent\",\"description\":\"Construct a CSV agent from a CSV and tools.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVAgent-Ub1Xe\"},\"id\":\"CSVAgent-Ub1Xe\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:50:16.985419\",\"folder\":null,\"id\":\"baee8061-4788-4ce6-928f-c6ce1ecb443c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Heisenberg\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":366,\"id\":\"CSVLoader-RMUx9\",\"type\":\"genericNode\",\"position\":{\"x\":111,\"y\":345.51250076293945},\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"z2b\":\"z9\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null},\"id\":\"CSVLoader-RMUx9\"},\"positionAbsolute\":{\"x\":111,\"y\":345.51250076293945}}],\"edges\":[],\"viewport\":{\"x\":0,\"y\":0,\"zoom\":1}},\"is_component\":false,\"updated_at\":\"2023-12-09T14:38:40.291137\",\"folder\":null,\"id\":\"109e9629-d569-4555-9d40-42203a5ed035\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CohereEmbeddings\",\"description\":\"Cohere embedding models.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CohereEmbeddings\",\"node\":{\"template\":{\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cohere_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"cohere_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"embed-english-v2.0\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"truncate\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"truncate\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"user_agent\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"langchain\",\"password\":false,\"name\":\"user_agent\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"CohereEmbeddings\"},\"description\":\"Cohere embedding models.\",\"base_classes\":[\"CohereEmbeddings\",\"Embeddings\"],\"display_name\":\"CohereEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/cohere\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CohereEmbeddings-HFUAf\"},\"id\":\"CohereEmbeddings-HFUAf\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:50:46.172344\",\"folder\":null,\"id\":\"662d8040-d47c-40db-bda1-66489a1c9d24\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (1)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-3wrib\"},\"id\":\"CSVLoader-3wrib\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:56:11.662526\",\"folder\":null,\"id\":\"4fae6aec-ddbd-498d-a4d1-ca0290f6a5ad\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (2)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-VEjyx\"},\"id\":\"CSVLoader-VEjyx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:57:37.560784\",\"folder\":null,\"id\":\"d80635ee-966c-41f2-981c-afa2c388ac6e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (3)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-PIhOc\"},\"id\":\"CSVLoader-PIhOc\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:00:27.991966\",\"folder\":null,\"id\":\"c5cc4c32-77c8-4889-a9f8-2632466b7366\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (4)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-deB43\"},\"id\":\"CSVLoader-deB43\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:00:42.509243\",\"folder\":null,\"id\":\"0ab59938-ccf4-4bb9-b285-1f5da38648f0\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-mdkLm\"},\"id\":\"CSVLoader-mdkLm\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:02:17.458354\",\"folder\":null,\"id\":\"f127b7e7-4149-492e-8998-6b1b35ec4153\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (5)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-FRc6Y\"},\"id\":\"CSVLoader-FRc6Y\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:02:26.958867\",\"folder\":null,\"id\":\"a870a096-725c-4914-add0-8d57d710b7e5\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (2)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-Z0uol\"},\"id\":\"AirbyteJSONLoader-Z0uol\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:03:33.764117\",\"folder\":null,\"id\":\"2a37c76c-65c8-4c01-a72d-eb46f3d41a56\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-28ASv\"},\"id\":\"AmazonBedrockEmbeddings-28ASv\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:03:41.066618\",\"folder\":null,\"id\":\"850ba4e6-96ca-49a7-9b0c-4b7048fd52c8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"ConversationBufferMemory\",\"description\":\"Buffer for storing conversation memory.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"ConversationBufferMemory\",\"node\":{\"template\":{\"chat_memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMessageHistory\",\"list\":false},\"ai_prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"AI\",\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"human_prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"Human\",\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"input_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\",\"type\":\"str\",\"list\":false},\"memory_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"output_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\",\"type\":\"str\",\"list\":false},\"return_messages\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ConversationBufferMemory\"},\"description\":\"Buffer for storing conversation memory.\",\"base_classes\":[\"BaseMemory\",\"BaseChatMemory\",\"ConversationBufferMemory\"],\"display_name\":\"ConversationBufferMemory\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/buffer\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"ConversationBufferMemory-WaoLx\"},\"id\":\"ConversationBufferMemory-WaoLx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:04:46.058568\",\"folder\":null,\"id\":\"be650940-0449-4eb0-a708-056310f924fd\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (1)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-Bs5PG\"},\"id\":\"AmazonBedrockEmbeddings-Bs5PG\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:05:50.570800\",\"folder\":null,\"id\":\"53ad1fe2-f3af-4354-86e0-eb141ce12859\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (2)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-zSZ4t\"},\"id\":\"AmazonBedrockEmbeddings-zSZ4t\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:06:11.415088\",\"folder\":null,\"id\":\"e9ed1c90-146e-452d-8ccd-ebf2e0da4331\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (3)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-Bxhlt\"},\"id\":\"AmazonBedrockEmbeddings-Bxhlt\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:07:06.411108\",\"folder\":null,\"id\":\"83783c57-64e3-41a6-aa7e-ed82f80f1e53\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (6)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"z2b\":\"z9\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-2pn2o\"},\"id\":\"CSVLoader-2pn2o\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:38:30.706258\",\"folder\":null,\"id\":\"c4ae9de6-9df3-4d3c-afc9-1752af4fecd7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Agent Initializer\",\"description\":\"Initialize a Langchain Agent.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AgentInitializer\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, List, Union\\n\\nfrom langchain.agents import AgentExecutor, AgentType, initialize_agent, types\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool\\n\\n\\nclass AgentInitializerComponent(CustomComponent):\\n    display_name: str = \\\"Agent Initializer\\\"\\n    description: str = \\\"Initialize a Langchain Agent.\\\"\\n    documentation: str = \\\"https://python.langchain.com/docs/modules/agents/agent_types/\\\"\\n\\n    def build_config(self):\\n        agents = list(types.AGENT_TO_CLASS.keys())\\n        # field_type and required are optional\\n        return {\\n            \\\"agent\\\": {\\\"options\\\": agents, \\\"value\\\": agents[0], \\\"display_name\\\": \\\"Agent Type\\\"},\\n            \\\"max_iterations\\\": {\\\"display_name\\\": \\\"Max Iterations\\\", \\\"value\\\": 10},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"Language Model\\\"},\\n        }\\n\\n    def build(\\n        self, agent: str, llm: BaseLanguageModel, memory: BaseChatMemory, tools: List[Tool], max_iterations: int\\n    ) -> Union[AgentExecutor, Callable]:\\n        agent = AgentType(agent)\\n        return initialize_agent(\\n            tools=tools,\\n            llm=llm,\\n            agent=agent,\\n            memory=memory,\\n            return_intermediate_steps=True,\\n            handle_parsing_errors=True,\\n            max_iterations=max_iterations,\\n        )\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"agent\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"zero-shot-react-description\",\"password\":false,\"options\":[\"zero-shot-react-description\",\"react-docstore\",\"self-ask-with-search\",\"conversational-react-description\",\"chat-zero-shot-react-description\",\"chat-conversational-react-description\",\"structured-chat-zero-shot-react-description\",\"openai-functions\",\"openai-multi-functions\",\"JsonAgent\",\"CSVAgent\",\"AgentInitializer\",\"VectorStoreAgent\",\"VectorStoreRouterAgent\",\"SQLAgent\"],\"name\":\"agent\",\"display_name\":\"Agent Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"Language Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"max_iterations\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":10,\"password\":false,\"name\":\"max_iterations\",\"display_name\":\"Max Iterations\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"memory\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMemory\",\"list\":false},\"tools\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Tool\",\"list\":true}},\"description\":\"Initialize a Langchain Agent.\",\"base_classes\":[\"Chain\",\"AgentExecutor\",\"Callable\"],\"display_name\":\"Agent Initializer\",\"custom_fields\":{\"agent\":null,\"llm\":null,\"max_iterations\":null,\"memory\":null,\"tools\":null},\"output_types\":[\"AgentInitializer\"],\"documentation\":\"https://python.langchain.com/docs/modules/agents/agent_types/\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AgentInitializer-MJrAC\"},\"id\":\"AgentInitializer-MJrAC\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:42:54.715163\",\"folder\":null,\"id\":\"ff84b5f9-5680-4084-a9f1-7d94fe675486\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Agent Initializer (1)\",\"description\":\"Initialize a Langchain Agent.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AgentInitializer\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, List, Union\\n\\nfrom langchain.agents import AgentExecutor, AgentType, initialize_agent, types\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool\\n\\n\\nclass AgentInitializerComponent(CustomComponent):\\n    display_name: str = \\\"Agent Initializer\\\"\\n    description: str = \\\"Initialize a Langchain Agent.\\\"\\n    documentation: str = \\\"https://python.langchain.com/docs/modules/agents/agent_types/\\\"\\n\\n    def build_config(self):\\n        agents = list(types.AGENT_TO_CLASS.keys())\\n        # field_type and required are optional\\n        return {\\n            \\\"agent\\\": {\\\"options\\\": agents, \\\"value\\\": agents[0], \\\"display_name\\\": \\\"Agent Type\\\"},\\n            \\\"max_iterations\\\": {\\\"display_name\\\": \\\"Max Iterations\\\", \\\"value\\\": 10},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"Language Model\\\"},\\n        }\\n\\n    def build(\\n        self, agent: str, llm: BaseLanguageModel, memory: BaseChatMemory, tools: List[Tool], max_iterations: int\\n    ) -> Union[AgentExecutor, Callable]:\\n        agent = AgentType(agent)\\n        return initialize_agent(\\n            tools=tools,\\n            llm=llm,\\n            agent=agent,\\n            memory=memory,\\n            return_intermediate_steps=True,\\n            handle_parsing_errors=True,\\n            max_iterations=max_iterations,\\n        )\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"agent\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"zero-shot-react-description\",\"password\":false,\"options\":[\"zero-shot-react-description\",\"react-docstore\",\"self-ask-with-search\",\"conversational-react-description\",\"chat-zero-shot-react-description\",\"chat-conversational-react-description\",\"structured-chat-zero-shot-react-description\",\"openai-functions\",\"openai-multi-functions\",\"JsonAgent\",\"CSVAgent\",\"AgentInitializer\",\"VectorStoreAgent\",\"VectorStoreRouterAgent\",\"SQLAgent\"],\"name\":\"agent\",\"display_name\":\"Agent Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"Language Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"max_iterations\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":10,\"password\":false,\"name\":\"max_iterations\",\"display_name\":\"Max Iterations\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"memory\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMemory\",\"list\":false},\"tools\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Tool\",\"list\":true}},\"description\":\"Initialize a Langchain Agent.\",\"base_classes\":[\"Chain\",\"AgentExecutor\",\"Callable\"],\"display_name\":\"Agent Initializer\",\"custom_fields\":{\"agent\":null,\"llm\":null,\"max_iterations\":null,\"memory\":null,\"tools\":null},\"output_types\":[\"AgentInitializer\"],\"documentation\":\"https://python.langchain.com/docs/modules/agents/agent_types/\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AgentInitializer-3lcZ4\"},\"id\":\"AgentInitializer-3lcZ4\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:43:20.819934\",\"folder\":null,\"id\":\"97f5db9f-d6cc-4555-88fb-3be102c67814\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Exuberant Banach\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T14:52:49.951416\",\"folder\":null,\"id\":\"a600acd1-213a-4ce7-8648-ab2ee59f5918\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (3)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-JhQtx\"},\"id\":\"AirbyteJSONLoader-JhQtx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:44:49.587337\",\"folder\":null,\"id\":\"07c52ad7-ca52-4cdd-ab40-74a91dbad0dd\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (4)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-bIvDc\"},\"id\":\"AirbyteJSONLoader-bIvDc\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:45:13.458500\",\"folder\":null,\"id\":\"53e4d256-3653-444b-b8e0-fb97b3ae5c7e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (5)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-2BLS8\"},\"id\":\"AirbyteJSONLoader-2BLS8\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:45:44.461699\",\"folder\":null,\"id\":\"b5158cc1-c6b8-4e25-907a-bc7e7637aa38\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (4)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-NsBzN\"},\"id\":\"AmazonBedrockEmbeddings-NsBzN\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:50:29.791575\",\"folder\":null,\"id\":\"3fb77f72-1be7-4ce0-ae89-a82b0eee9acf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Golick\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.707854\",\"folder\":null,\"id\":\"9c5d21c2-ea82-4cf4-a591-c3d3fd3f13e6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Davinci (1)\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.761150\",\"folder\":null,\"id\":\"f8e2e16e-129c-4116-9626-2c6b524d97b7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Degrasse\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.764440\",\"folder\":null,\"id\":\"d7f4f7b5-effe-4834-8cab-4f2fc4f6e9de\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Prickly Archimedes\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.767546\",\"folder\":null,\"id\":\"2265d813-4a87-410f-b06a-65e35db8219e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Boring Heyrovsky\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.765105\",\"folder\":null,\"id\":\"10bfd881-e67e-4c33-965d-ee041695edce\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nostalgic Carroll\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.811794\",\"folder\":null,\"id\":\"63fa5653-4513-47f2-8dfa-baeb1d981f93\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Perlman\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.814993\",\"folder\":null,\"id\":\"f4bc5945-20d9-4703-a5bb-6a4a3ef7fc8e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hilarious Stallman\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.813144\",\"folder\":null,\"id\":\"8d8b80f9-4b74-4cd5-bc5c-08a32c4d2b95\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Awesome Einstein\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:19.518262\",\"folder\":null,\"id\":\"21808fd7-a492-4e29-8863-301c2785f542\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Funky Swanson\",\"description\":\"Sculpting Language with Precision.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.185637\",\"folder\":null,\"id\":\"7752299a-4aa9-44db-8d9c-5c4a2ac1b071\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Romantic Pascal\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.223064\",\"folder\":null,\"id\":\"78f48a13-6a9f-42ce-9d58-ec9b63b381d2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Bartik\",\"description\":\"Sculpting Language with Precision.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.239758\",\"folder\":null,\"id\":\"38074091-3d7c-4d42-b61b-ae195c1b8a4e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Condescending Joliot\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.271996\",\"folder\":null,\"id\":\"773020aa-5c2d-4632-ad9e-21276861ab93\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Kalam\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.283929\",\"folder\":null,\"id\":\"0092d077-6d31-401f-a739-b164476b90ed\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grinning Bhabha\",\"description\":\"Your Passport to Linguistic Landscapes.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.467739\",\"folder\":null,\"id\":\"4a395211-712d-4dd2-b3bb-e6b19200f15d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Babbage\",\"description\":\"Design Dialogues with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.742990\",\"folder\":null,\"id\":\"3f086a82-3e29-4328-9da8-e02dc9201744\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tiny Volta\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:24:18.594247\",\"folder\":null,\"id\":\"659b8289-c8e8-413d-9b2b-51e68411f170\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Radiant Jennings\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:24:42.640309\",\"folder\":null,\"id\":\"f55f0640-d47e-4471-b1ba-3411d38ecac5\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Distracted Shaw\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:24:58.376247\",\"folder\":null,\"id\":\"a039811e-449a-4244-83ed-4ddd731a0921\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Peppy Murdock (1)\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:25:14.674524\",\"folder\":null,\"id\":\"0faf6144-6ca6-4f64-a343-665ae54774ef\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Volta\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:26:50.418029\",\"folder\":null,\"id\":\"c5d149d0-c401-4f5e-b79f-2abcc7b8d98d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Bubbly Curie\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:27:10.900899\",\"folder\":null,\"id\":\"7bb2d226-9740-433d-861f-a499632c5a13\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Radiant Nobel\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:29:11.541630\",\"folder\":null,\"id\":\"947906d8-75ea-470c-a8e2-cc80c5d3bdbb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cheerful Northcutt\",\"description\":\"Unleashing Business Potential through Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:29:37.169791\",\"folder\":null,\"id\":\"56f109fd-2c18-42ed-a9b2-089a678a0c11\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Suspicious Khayyam\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:30:24.686359\",\"folder\":null,\"id\":\"551d7bfa-49aa-43f1-a779-e47eabc2aaf2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Spence\",\"description\":\"Create, Curate, Communicate with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:30:47.738472\",\"folder\":null,\"id\":\"12aef128-130e-492e-bf84-62d4cb4cd456\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Lavoisier\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:31:43.272365\",\"folder\":null,\"id\":\"9952c044-6903-4fba-a270-6ed0b90c93c9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Upbeat Bose\",\"description\":\"Unravel the Art of Articulation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:32:23.972035\",\"folder\":null,\"id\":\"65f49582-c9fa-4c67-a2bc-4e8fa73ca731\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tender Perlman\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:33:26.984083\",\"folder\":null,\"id\":\"9ae57fe2-c677-47fa-a059-7d3d915a1178\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sharp Cori\",\"description\":\"Conversation Catalyst Engine.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:33:52.377359\",\"folder\":null,\"id\":\"2920dde2-5c24-4fe0-9c06-ef86b5a16a99\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"}]"
-          },
-          "headersSize": -1,
-          "bodySize": -1,
-          "redirectURL": ""
-        },
-        "cache": {},
-        "timings": { "send": -1, "wait": -1, "receive": 1.309 }
-      },
-      {
-        "startedDateTime": "2023-12-11T18:55:08.950Z",
-        "time": 0.595,
-        "request": {
-          "method": "GET",
-          "url": "http://localhost:3000/api/v1/build/2920dde2-5c24-4fe0-9c06-ef86b5a16a99/status",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Accept", "value": "application/json, text/plain, */*" },
-            { "name": "Accept-Encoding", "value": "gzip, deflate, br" },
-            { "name": "Accept-Language", "value": "en-US,en;q=0.9" },
-            { "name": "Authorization", "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20" },
-            { "name": "Connection", "value": "keep-alive" },
-            { "name": "Cookie", "value": "access_tkn_lflw=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20; refresh_tkn_lflw=auto" },
-            { "name": "Host", "value": "localhost:3000" },
-            { "name": "Referer", "value": "http://localhost:3000/flow/2920dde2-5c24-4fe0-9c06-ef86b5a16a99" },
-            { "name": "Sec-Fetch-Dest", "value": "empty" },
-            { "name": "Sec-Fetch-Mode", "value": "cors" },
-            { "name": "Sec-Fetch-Site", "value": "same-origin" },
-            { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" },
-            { "name": "sec-ch-ua", "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" },
-            { "name": "sec-ch-ua-mobile", "value": "?0" },
-            { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
-          ],
-          "queryString": [],
-          "headersSize": -1,
-          "bodySize": -1
-        },
-        "response": {
-          "status": 200,
-          "statusText": "OK",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Access-Control-Allow-Origin", "value": "*" },
-            { "name": "connection", "value": "close" },
-            { "name": "content-length", "value": "15" },
-            { "name": "content-type", "value": "application/json" },
-            { "name": "date", "value": "Mon, 11 Dec 2023 18:55:08 GMT" },
-            { "name": "server", "value": "uvicorn" }
-          ],
-          "content": {
-            "size": -1,
-            "mimeType": "application/json",
-            "text": "{\"built\":false}"
-          },
-          "headersSize": -1,
-          "bodySize": -1,
-          "redirectURL": ""
-        },
-        "cache": {},
-        "timings": { "send": -1, "wait": -1, "receive": 0.595 }
-      }
-    ]
-  }
-}
\ No newline at end of file
diff --git a/lcserve.Dockerfile b/lcserve.Dockerfile
deleted file mode 100644
index 883a2c0406e..00000000000
--- a/lcserve.Dockerfile
+++ /dev/null
@@ -1,16 +0,0 @@
-# This file is used by `lc-serve` to build the image. 
-# Don't change the name of this file.
-
-FROM jinawolf/serving-gateway:${version}
-
-RUN apt-get update \
-    && apt-get install --no-install-recommends -y build-essential libpq-dev
-
-COPY . /appdir/
-
-RUN pip install poetry==1.4.0 && cd /appdir && pip install . && \
-    pip uninstall -y poetry && \
-    apt-get remove --auto-remove -y build-essential libpq-dev && \
-    apt-get autoremove && apt-get clean && rm -rf /var/lib/apt/lists/* && rm -rf /tmp/*
-
-ENTRYPOINT [ "jina", "gateway", "--uses", "config.yml" ]
\ No newline at end of file
diff --git a/package-lock.json b/package-lock.json
deleted file mode 100644
index 8c3f329a02d..00000000000
--- a/package-lock.json
+++ /dev/null
@@ -1,932 +0,0 @@
-{
-  "name": "langflow",
-  "lockfileVersion": 3,
-  "requires": true,
-  "packages": {
-    "": {
-      "dependencies": {
-        "@radix-ui/react-popover": "^1.0.7",
-        "cmdk": "^0.2.0"
-      }
-    },
-    "node_modules/@babel/runtime": {
-      "version": "7.23.2",
-      "resolved": "https://registry.npmjs.org/@babel/runtime/-/runtime-7.23.2.tgz",
-      "integrity": "sha512-mM8eg4yl5D6i3lu2QKPuPH4FArvJ8KhTofbE7jwMUv9KX5mBvwPAqnV3MlyBNqdp9RyRKP6Yck8TrfYrPvX3bg==",
-      "dependencies": {
-        "regenerator-runtime": "^0.14.0"
-      },
-      "engines": {
-        "node": ">=6.9.0"
-      }
-    },
-    "node_modules/@floating-ui/core": {
-      "version": "1.5.0",
-      "resolved": "https://registry.npmjs.org/@floating-ui/core/-/core-1.5.0.tgz",
-      "integrity": "sha512-kK1h4m36DQ0UHGj5Ah4db7R0rHemTqqO0QLvUqi1/mUUp3LuAWbWxdxSIf/XsnH9VS6rRVPLJCncjRzUvyCLXg==",
-      "dependencies": {
-        "@floating-ui/utils": "^0.1.3"
-      }
-    },
-    "node_modules/@floating-ui/dom": {
-      "version": "1.5.3",
-      "resolved": "https://registry.npmjs.org/@floating-ui/dom/-/dom-1.5.3.tgz",
-      "integrity": "sha512-ClAbQnEqJAKCJOEbbLo5IUlZHkNszqhuxS4fHAVxRPXPya6Ysf2G8KypnYcOTpx6I8xcgF9bbHb6g/2KpbV8qA==",
-      "dependencies": {
-        "@floating-ui/core": "^1.4.2",
-        "@floating-ui/utils": "^0.1.3"
-      }
-    },
-    "node_modules/@floating-ui/react-dom": {
-      "version": "2.0.4",
-      "resolved": "https://registry.npmjs.org/@floating-ui/react-dom/-/react-dom-2.0.4.tgz",
-      "integrity": "sha512-CF8k2rgKeh/49UrnIBs4BdxPUV6vize/Db1d/YbCLyp9GiVZ0BEwf5AiDSxJRCr6yOkGqTFHtmrULxkEfYZ7dQ==",
-      "dependencies": {
-        "@floating-ui/dom": "^1.5.1"
-      },
-      "peerDependencies": {
-        "react": ">=16.8.0",
-        "react-dom": ">=16.8.0"
-      }
-    },
-    "node_modules/@floating-ui/utils": {
-      "version": "0.1.6",
-      "resolved": "https://registry.npmjs.org/@floating-ui/utils/-/utils-0.1.6.tgz",
-      "integrity": "sha512-OfX7E2oUDYxtBvsuS4e/jSn4Q9Qb6DzgeYtsAdkPZ47znpoNsMgZw0+tVijiv3uGNR6dgNlty6r9rzIzHjtd/A=="
-    },
-    "node_modules/@radix-ui/primitive": {
-      "version": "1.0.1",
-      "resolved": "https://registry.npmjs.org/@radix-ui/primitive/-/primitive-1.0.1.tgz",
-      "integrity": "sha512-yQ8oGX2GVsEYMWGxcovu1uGWPCxV5BFfeeYxqPmuAzUyLT9qmaMXSAhXpb0WrspIeqYzdJpkh2vHModJPgRIaw==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10"
-      }
-    },
-    "node_modules/@radix-ui/react-arrow": {
-      "version": "1.0.3",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-arrow/-/react-arrow-1.0.3.tgz",
-      "integrity": "sha512-wSP+pHsB/jQRaL6voubsQ/ZlrGBHHrOjmBnr19hxYgtS0WvAFwZhK2WP/YY5yF9uKECCEEDGxuLxq1NBK51wFA==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/react-primitive": "1.0.3"
-      },
-      "peerDependencies": {
-        "@types/react": "*",
-        "@types/react-dom": "*",
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        },
-        "@types/react-dom": {
-          "optional": true
-        }
-      }
-    },
-    "node_modules/@radix-ui/react-compose-refs": {
-      "version": "1.0.1",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-compose-refs/-/react-compose-refs-1.0.1.tgz",
-      "integrity": "sha512-fDSBgd44FKHa1FRMU59qBMPFcl2PZE+2nmqunj+BWFyYYjnhIDWL2ItDs3rrbJDQOtzt5nIebLCQc4QRfz6LJw==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10"
-      },
-      "peerDependencies": {
-        "@types/react": "*",
-        "react": "^16.8 || ^17.0 || ^18.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        }
-      }
-    },
-    "node_modules/@radix-ui/react-context": {
-      "version": "1.0.1",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-context/-/react-context-1.0.1.tgz",
-      "integrity": "sha512-ebbrdFoYTcuZ0v4wG5tedGnp9tzcV8awzsxYph7gXUyvnNLuTIcCk1q17JEbnVhXAKG9oX3KtchwiMIAYp9NLg==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10"
-      },
-      "peerDependencies": {
-        "@types/react": "*",
-        "react": "^16.8 || ^17.0 || ^18.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        }
-      }
-    },
-    "node_modules/@radix-ui/react-dialog": {
-      "version": "1.0.0",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-dialog/-/react-dialog-1.0.0.tgz",
-      "integrity": "sha512-Yn9YU+QlHYLWwV1XfKiqnGVpWYWk6MeBVM6x/bcoyPvxgjQGoeT35482viLPctTMWoMw0PoHgqfSox7Ig+957Q==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/primitive": "1.0.0",
-        "@radix-ui/react-compose-refs": "1.0.0",
-        "@radix-ui/react-context": "1.0.0",
-        "@radix-ui/react-dismissable-layer": "1.0.0",
-        "@radix-ui/react-focus-guards": "1.0.0",
-        "@radix-ui/react-focus-scope": "1.0.0",
-        "@radix-ui/react-id": "1.0.0",
-        "@radix-ui/react-portal": "1.0.0",
-        "@radix-ui/react-presence": "1.0.0",
-        "@radix-ui/react-primitive": "1.0.0",
-        "@radix-ui/react-slot": "1.0.0",
-        "@radix-ui/react-use-controllable-state": "1.0.0",
-        "aria-hidden": "^1.1.1",
-        "react-remove-scroll": "2.5.4"
-      },
-      "peerDependencies": {
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
-      }
-    },
-    "node_modules/@radix-ui/react-dialog/node_modules/@radix-ui/primitive": {
-      "version": "1.0.0",
-      "resolved": "https://registry.npmjs.org/@radix-ui/primitive/-/primitive-1.0.0.tgz",
-      "integrity": "sha512-3e7rn8FDMin4CgeL7Z/49smCA3rFYY3Ha2rUQ7HRWFadS5iCRw08ZgVT1LaNTCNqgvrUiyczLflrVrF0SRQtNA==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10"
-      }
-    },
-    "node_modules/@radix-ui/react-dialog/node_modules/@radix-ui/react-compose-refs": {
-      "version": "1.0.0",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-compose-refs/-/react-compose-refs-1.0.0.tgz",
-      "integrity": "sha512-0KaSv6sx787/hK3eF53iOkiSLwAGlFMx5lotrqD2pTjB18KbybKoEIgkNZTKC60YECDQTKGTRcDBILwZVqVKvA==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10"
-      },
-      "peerDependencies": {
-        "react": "^16.8 || ^17.0 || ^18.0"
-      }
-    },
-    "node_modules/@radix-ui/react-dialog/node_modules/@radix-ui/react-context": {
-      "version": "1.0.0",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-context/-/react-context-1.0.0.tgz",
-      "integrity": "sha512-1pVM9RfOQ+n/N5PJK33kRSKsr1glNxomxONs5c49MliinBY6Yw2Q995qfBUUo0/Mbg05B/sGA0gkgPI7kmSHBg==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10"
-      },
-      "peerDependencies": {
-        "react": "^16.8 || ^17.0 || ^18.0"
-      }
-    },
-    "node_modules/@radix-ui/react-dialog/node_modules/@radix-ui/react-dismissable-layer": {
-      "version": "1.0.0",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-dismissable-layer/-/react-dismissable-layer-1.0.0.tgz",
-      "integrity": "sha512-n7kDRfx+LB1zLueRDvZ1Pd0bxdJWDUZNQ/GWoxDn2prnuJKRdxsjulejX/ePkOsLi2tTm6P24mDqlMSgQpsT6g==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/primitive": "1.0.0",
-        "@radix-ui/react-compose-refs": "1.0.0",
-        "@radix-ui/react-primitive": "1.0.0",
-        "@radix-ui/react-use-callback-ref": "1.0.0",
-        "@radix-ui/react-use-escape-keydown": "1.0.0"
-      },
-      "peerDependencies": {
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
-      }
-    },
-    "node_modules/@radix-ui/react-dialog/node_modules/@radix-ui/react-focus-guards": {
-      "version": "1.0.0",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-focus-guards/-/react-focus-guards-1.0.0.tgz",
-      "integrity": "sha512-UagjDk4ijOAnGu4WMUPj9ahi7/zJJqNZ9ZAiGPp7waUWJO0O1aWXi/udPphI0IUjvrhBsZJGSN66dR2dsueLWQ==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10"
-      },
-      "peerDependencies": {
-        "react": "^16.8 || ^17.0 || ^18.0"
-      }
-    },
-    "node_modules/@radix-ui/react-dialog/node_modules/@radix-ui/react-focus-scope": {
-      "version": "1.0.0",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-focus-scope/-/react-focus-scope-1.0.0.tgz",
-      "integrity": "sha512-C4SWtsULLGf/2L4oGeIHlvWQx7Rf+7cX/vKOAD2dXW0A1b5QXwi3wWeaEgW+wn+SEVrraMUk05vLU9fZZz5HbQ==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/react-compose-refs": "1.0.0",
-        "@radix-ui/react-primitive": "1.0.0",
-        "@radix-ui/react-use-callback-ref": "1.0.0"
-      },
-      "peerDependencies": {
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
-      }
-    },
-    "node_modules/@radix-ui/react-dialog/node_modules/@radix-ui/react-id": {
-      "version": "1.0.0",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-id/-/react-id-1.0.0.tgz",
-      "integrity": "sha512-Q6iAB/U7Tq3NTolBBQbHTgclPmGWE3OlktGGqrClPozSw4vkQ1DfQAOtzgRPecKsMdJINE05iaoDUG8tRzCBjw==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/react-use-layout-effect": "1.0.0"
-      },
-      "peerDependencies": {
-        "react": "^16.8 || ^17.0 || ^18.0"
-      }
-    },
-    "node_modules/@radix-ui/react-dialog/node_modules/@radix-ui/react-portal": {
-      "version": "1.0.0",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-portal/-/react-portal-1.0.0.tgz",
-      "integrity": "sha512-a8qyFO/Xb99d8wQdu4o7qnigNjTPG123uADNecz0eX4usnQEj7o+cG4ZX4zkqq98NYekT7UoEQIjxBNWIFuqTA==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/react-primitive": "1.0.0"
-      },
-      "peerDependencies": {
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
-      }
-    },
-    "node_modules/@radix-ui/react-dialog/node_modules/@radix-ui/react-presence": {
-      "version": "1.0.0",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-presence/-/react-presence-1.0.0.tgz",
-      "integrity": "sha512-A+6XEvN01NfVWiKu38ybawfHsBjWum42MRPnEuqPsBZ4eV7e/7K321B5VgYMPv3Xx5An6o1/l9ZuDBgmcmWK3w==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/react-compose-refs": "1.0.0",
-        "@radix-ui/react-use-layout-effect": "1.0.0"
-      },
-      "peerDependencies": {
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
-      }
-    },
-    "node_modules/@radix-ui/react-dialog/node_modules/@radix-ui/react-primitive": {
-      "version": "1.0.0",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-primitive/-/react-primitive-1.0.0.tgz",
-      "integrity": "sha512-EyXe6mnRlHZ8b6f4ilTDrXmkLShICIuOTTj0GX4w1rp+wSxf3+TD05u1UOITC8VsJ2a9nwHvdXtOXEOl0Cw/zQ==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/react-slot": "1.0.0"
-      },
-      "peerDependencies": {
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
-      }
-    },
-    "node_modules/@radix-ui/react-dialog/node_modules/@radix-ui/react-slot": {
-      "version": "1.0.0",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-slot/-/react-slot-1.0.0.tgz",
-      "integrity": "sha512-3mrKauI/tWXo1Ll+gN5dHcxDPdm/Df1ufcDLCecn+pnCIVcdWE7CujXo8QaXOWRJyZyQWWbpB8eFwHzWXlv5mQ==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/react-compose-refs": "1.0.0"
-      },
-      "peerDependencies": {
-        "react": "^16.8 || ^17.0 || ^18.0"
-      }
-    },
-    "node_modules/@radix-ui/react-dialog/node_modules/@radix-ui/react-use-callback-ref": {
-      "version": "1.0.0",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-use-callback-ref/-/react-use-callback-ref-1.0.0.tgz",
-      "integrity": "sha512-GZtyzoHz95Rhs6S63D2t/eqvdFCm7I+yHMLVQheKM7nBD8mbZIt+ct1jz4536MDnaOGKIxynJ8eHTkVGVVkoTg==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10"
-      },
-      "peerDependencies": {
-        "react": "^16.8 || ^17.0 || ^18.0"
-      }
-    },
-    "node_modules/@radix-ui/react-dialog/node_modules/@radix-ui/react-use-controllable-state": {
-      "version": "1.0.0",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-use-controllable-state/-/react-use-controllable-state-1.0.0.tgz",
-      "integrity": "sha512-FohDoZvk3mEXh9AWAVyRTYR4Sq7/gavuofglmiXB2g1aKyboUD4YtgWxKj8O5n+Uak52gXQ4wKz5IFST4vtJHg==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/react-use-callback-ref": "1.0.0"
-      },
-      "peerDependencies": {
-        "react": "^16.8 || ^17.0 || ^18.0"
-      }
-    },
-    "node_modules/@radix-ui/react-dialog/node_modules/@radix-ui/react-use-escape-keydown": {
-      "version": "1.0.0",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-use-escape-keydown/-/react-use-escape-keydown-1.0.0.tgz",
-      "integrity": "sha512-JwfBCUIfhXRxKExgIqGa4CQsiMemo1Xt0W/B4ei3fpzpvPENKpMKQ8mZSB6Acj3ebrAEgi2xiQvcI1PAAodvyg==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/react-use-callback-ref": "1.0.0"
-      },
-      "peerDependencies": {
-        "react": "^16.8 || ^17.0 || ^18.0"
-      }
-    },
-    "node_modules/@radix-ui/react-dialog/node_modules/@radix-ui/react-use-layout-effect": {
-      "version": "1.0.0",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-use-layout-effect/-/react-use-layout-effect-1.0.0.tgz",
-      "integrity": "sha512-6Tpkq+R6LOlmQb1R5NNETLG0B4YP0wc+klfXafpUCj6JGyaUc8il7/kUZ7m59rGbXGczE9Bs+iz2qloqsZBduQ==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10"
-      },
-      "peerDependencies": {
-        "react": "^16.8 || ^17.0 || ^18.0"
-      }
-    },
-    "node_modules/@radix-ui/react-dialog/node_modules/react-remove-scroll": {
-      "version": "2.5.4",
-      "resolved": "https://registry.npmjs.org/react-remove-scroll/-/react-remove-scroll-2.5.4.tgz",
-      "integrity": "sha512-xGVKJJr0SJGQVirVFAUZ2k1QLyO6m+2fy0l8Qawbp5Jgrv3DeLalrfMNBFSlmz5kriGGzsVBtGVnf4pTKIhhWA==",
-      "dependencies": {
-        "react-remove-scroll-bar": "^2.3.3",
-        "react-style-singleton": "^2.2.1",
-        "tslib": "^2.1.0",
-        "use-callback-ref": "^1.3.0",
-        "use-sidecar": "^1.1.2"
-      },
-      "engines": {
-        "node": ">=10"
-      },
-      "peerDependencies": {
-        "@types/react": "^16.8.0 || ^17.0.0 || ^18.0.0",
-        "react": "^16.8.0 || ^17.0.0 || ^18.0.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        }
-      }
-    },
-    "node_modules/@radix-ui/react-dismissable-layer": {
-      "version": "1.0.5",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-dismissable-layer/-/react-dismissable-layer-1.0.5.tgz",
-      "integrity": "sha512-aJeDjQhywg9LBu2t/At58hCvr7pEm0o2Ke1x33B+MhjNmmZ17sy4KImo0KPLgsnc/zN7GPdce8Cnn0SWvwZO7g==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/primitive": "1.0.1",
-        "@radix-ui/react-compose-refs": "1.0.1",
-        "@radix-ui/react-primitive": "1.0.3",
-        "@radix-ui/react-use-callback-ref": "1.0.1",
-        "@radix-ui/react-use-escape-keydown": "1.0.3"
-      },
-      "peerDependencies": {
-        "@types/react": "*",
-        "@types/react-dom": "*",
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        },
-        "@types/react-dom": {
-          "optional": true
-        }
-      }
-    },
-    "node_modules/@radix-ui/react-focus-guards": {
-      "version": "1.0.1",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-focus-guards/-/react-focus-guards-1.0.1.tgz",
-      "integrity": "sha512-Rect2dWbQ8waGzhMavsIbmSVCgYxkXLxxR3ZvCX79JOglzdEy4JXMb98lq4hPxUbLr77nP0UOGf4rcMU+s1pUA==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10"
-      },
-      "peerDependencies": {
-        "@types/react": "*",
-        "react": "^16.8 || ^17.0 || ^18.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        }
-      }
-    },
-    "node_modules/@radix-ui/react-focus-scope": {
-      "version": "1.0.4",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-focus-scope/-/react-focus-scope-1.0.4.tgz",
-      "integrity": "sha512-sL04Mgvf+FmyvZeYfNu1EPAaaxD+aw7cYeIB9L9Fvq8+urhltTRaEo5ysKOpHuKPclsZcSUMKlN05x4u+CINpA==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/react-compose-refs": "1.0.1",
-        "@radix-ui/react-primitive": "1.0.3",
-        "@radix-ui/react-use-callback-ref": "1.0.1"
-      },
-      "peerDependencies": {
-        "@types/react": "*",
-        "@types/react-dom": "*",
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        },
-        "@types/react-dom": {
-          "optional": true
-        }
-      }
-    },
-    "node_modules/@radix-ui/react-id": {
-      "version": "1.0.1",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-id/-/react-id-1.0.1.tgz",
-      "integrity": "sha512-tI7sT/kqYp8p96yGWY1OAnLHrqDgzHefRBKQ2YAkBS5ja7QLcZ9Z/uY7bEjPUatf8RomoXM8/1sMj1IJaE5UzQ==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/react-use-layout-effect": "1.0.1"
-      },
-      "peerDependencies": {
-        "@types/react": "*",
-        "react": "^16.8 || ^17.0 || ^18.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        }
-      }
-    },
-    "node_modules/@radix-ui/react-popover": {
-      "version": "1.0.7",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-popover/-/react-popover-1.0.7.tgz",
-      "integrity": "sha512-shtvVnlsxT6faMnK/a7n0wptwBD23xc1Z5mdrtKLwVEfsEMXodS0r5s0/g5P0hX//EKYZS2sxUjqfzlg52ZSnQ==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/primitive": "1.0.1",
-        "@radix-ui/react-compose-refs": "1.0.1",
-        "@radix-ui/react-context": "1.0.1",
-        "@radix-ui/react-dismissable-layer": "1.0.5",
-        "@radix-ui/react-focus-guards": "1.0.1",
-        "@radix-ui/react-focus-scope": "1.0.4",
-        "@radix-ui/react-id": "1.0.1",
-        "@radix-ui/react-popper": "1.1.3",
-        "@radix-ui/react-portal": "1.0.4",
-        "@radix-ui/react-presence": "1.0.1",
-        "@radix-ui/react-primitive": "1.0.3",
-        "@radix-ui/react-slot": "1.0.2",
-        "@radix-ui/react-use-controllable-state": "1.0.1",
-        "aria-hidden": "^1.1.1",
-        "react-remove-scroll": "2.5.5"
-      },
-      "peerDependencies": {
-        "@types/react": "*",
-        "@types/react-dom": "*",
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        },
-        "@types/react-dom": {
-          "optional": true
-        }
-      }
-    },
-    "node_modules/@radix-ui/react-popper": {
-      "version": "1.1.3",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-popper/-/react-popper-1.1.3.tgz",
-      "integrity": "sha512-cKpopj/5RHZWjrbF2846jBNacjQVwkP068DfmgrNJXpvVWrOvlAmE9xSiy5OqeE+Gi8D9fP+oDhUnPqNMY8/5w==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@floating-ui/react-dom": "^2.0.0",
-        "@radix-ui/react-arrow": "1.0.3",
-        "@radix-ui/react-compose-refs": "1.0.1",
-        "@radix-ui/react-context": "1.0.1",
-        "@radix-ui/react-primitive": "1.0.3",
-        "@radix-ui/react-use-callback-ref": "1.0.1",
-        "@radix-ui/react-use-layout-effect": "1.0.1",
-        "@radix-ui/react-use-rect": "1.0.1",
-        "@radix-ui/react-use-size": "1.0.1",
-        "@radix-ui/rect": "1.0.1"
-      },
-      "peerDependencies": {
-        "@types/react": "*",
-        "@types/react-dom": "*",
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        },
-        "@types/react-dom": {
-          "optional": true
-        }
-      }
-    },
-    "node_modules/@radix-ui/react-portal": {
-      "version": "1.0.4",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-portal/-/react-portal-1.0.4.tgz",
-      "integrity": "sha512-Qki+C/EuGUVCQTOTD5vzJzJuMUlewbzuKyUy+/iHM2uwGiru9gZeBJtHAPKAEkB5KWGi9mP/CHKcY0wt1aW45Q==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/react-primitive": "1.0.3"
-      },
-      "peerDependencies": {
-        "@types/react": "*",
-        "@types/react-dom": "*",
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        },
-        "@types/react-dom": {
-          "optional": true
-        }
-      }
-    },
-    "node_modules/@radix-ui/react-presence": {
-      "version": "1.0.1",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-presence/-/react-presence-1.0.1.tgz",
-      "integrity": "sha512-UXLW4UAbIY5ZjcvzjfRFo5gxva8QirC9hF7wRE4U5gz+TP0DbRk+//qyuAQ1McDxBt1xNMBTaciFGvEmJvAZCg==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/react-compose-refs": "1.0.1",
-        "@radix-ui/react-use-layout-effect": "1.0.1"
-      },
-      "peerDependencies": {
-        "@types/react": "*",
-        "@types/react-dom": "*",
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        },
-        "@types/react-dom": {
-          "optional": true
-        }
-      }
-    },
-    "node_modules/@radix-ui/react-primitive": {
-      "version": "1.0.3",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-primitive/-/react-primitive-1.0.3.tgz",
-      "integrity": "sha512-yi58uVyoAcK/Nq1inRY56ZSjKypBNKTa/1mcL8qdl6oJeEaDbOldlzrGn7P6Q3Id5d+SYNGc5AJgc4vGhjs5+g==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/react-slot": "1.0.2"
-      },
-      "peerDependencies": {
-        "@types/react": "*",
-        "@types/react-dom": "*",
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        },
-        "@types/react-dom": {
-          "optional": true
-        }
-      }
-    },
-    "node_modules/@radix-ui/react-slot": {
-      "version": "1.0.2",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-slot/-/react-slot-1.0.2.tgz",
-      "integrity": "sha512-YeTpuq4deV+6DusvVUW4ivBgnkHwECUu0BiN43L5UCDFgdhsRUWAghhTF5MbvNTPzmiFOx90asDSUjWuCNapwg==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/react-compose-refs": "1.0.1"
-      },
-      "peerDependencies": {
-        "@types/react": "*",
-        "react": "^16.8 || ^17.0 || ^18.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        }
-      }
-    },
-    "node_modules/@radix-ui/react-use-callback-ref": {
-      "version": "1.0.1",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-use-callback-ref/-/react-use-callback-ref-1.0.1.tgz",
-      "integrity": "sha512-D94LjX4Sp0xJFVaoQOd3OO9k7tpBYNOXdVhkltUbGv2Qb9OXdrg/CpsjlZv7ia14Sylv398LswWBVVu5nqKzAQ==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10"
-      },
-      "peerDependencies": {
-        "@types/react": "*",
-        "react": "^16.8 || ^17.0 || ^18.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        }
-      }
-    },
-    "node_modules/@radix-ui/react-use-controllable-state": {
-      "version": "1.0.1",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-use-controllable-state/-/react-use-controllable-state-1.0.1.tgz",
-      "integrity": "sha512-Svl5GY5FQeN758fWKrjM6Qb7asvXeiZltlT4U2gVfl8Gx5UAv2sMR0LWo8yhsIZh2oQ0eFdZ59aoOOMV7b47VA==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/react-use-callback-ref": "1.0.1"
-      },
-      "peerDependencies": {
-        "@types/react": "*",
-        "react": "^16.8 || ^17.0 || ^18.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        }
-      }
-    },
-    "node_modules/@radix-ui/react-use-escape-keydown": {
-      "version": "1.0.3",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-use-escape-keydown/-/react-use-escape-keydown-1.0.3.tgz",
-      "integrity": "sha512-vyL82j40hcFicA+M4Ex7hVkB9vHgSse1ZWomAqV2Je3RleKGO5iM8KMOEtfoSB0PnIelMd2lATjTGMYqN5ylTg==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/react-use-callback-ref": "1.0.1"
-      },
-      "peerDependencies": {
-        "@types/react": "*",
-        "react": "^16.8 || ^17.0 || ^18.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        }
-      }
-    },
-    "node_modules/@radix-ui/react-use-layout-effect": {
-      "version": "1.0.1",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-use-layout-effect/-/react-use-layout-effect-1.0.1.tgz",
-      "integrity": "sha512-v/5RegiJWYdoCvMnITBkNNx6bCj20fiaJnWtRkU18yITptraXjffz5Qbn05uOiQnOvi+dbkznkoaMltz1GnszQ==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10"
-      },
-      "peerDependencies": {
-        "@types/react": "*",
-        "react": "^16.8 || ^17.0 || ^18.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        }
-      }
-    },
-    "node_modules/@radix-ui/react-use-rect": {
-      "version": "1.0.1",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-use-rect/-/react-use-rect-1.0.1.tgz",
-      "integrity": "sha512-Cq5DLuSiuYVKNU8orzJMbl15TXilTnJKUCltMVQg53BQOF1/C5toAaGrowkgksdBQ9H+SRL23g0HDmg9tvmxXw==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/rect": "1.0.1"
-      },
-      "peerDependencies": {
-        "@types/react": "*",
-        "react": "^16.8 || ^17.0 || ^18.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        }
-      }
-    },
-    "node_modules/@radix-ui/react-use-size": {
-      "version": "1.0.1",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-use-size/-/react-use-size-1.0.1.tgz",
-      "integrity": "sha512-ibay+VqrgcaI6veAojjofPATwledXiSmX+C0KrBk/xgpX9rBzPV3OsfwlhQdUOFbh+LKQorLYT+xTXW9V8yd0g==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/react-use-layout-effect": "1.0.1"
-      },
-      "peerDependencies": {
-        "@types/react": "*",
-        "react": "^16.8 || ^17.0 || ^18.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        }
-      }
-    },
-    "node_modules/@radix-ui/rect": {
-      "version": "1.0.1",
-      "resolved": "https://registry.npmjs.org/@radix-ui/rect/-/rect-1.0.1.tgz",
-      "integrity": "sha512-fyrgCaedtvMg9NK3en0pnOYJdtfwxUcNolezkNPUsoX57X8oQk+NkqcvzHXD2uKNij6GXmWU9NDru2IWjrO4BQ==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10"
-      }
-    },
-    "node_modules/aria-hidden": {
-      "version": "1.2.3",
-      "resolved": "https://registry.npmjs.org/aria-hidden/-/aria-hidden-1.2.3.tgz",
-      "integrity": "sha512-xcLxITLe2HYa1cnYnwCjkOO1PqUHQpozB8x9AR0OgWN2woOBi5kSDVxKfd0b7sb1hw5qFeJhXm9H1nu3xSfLeQ==",
-      "dependencies": {
-        "tslib": "^2.0.0"
-      },
-      "engines": {
-        "node": ">=10"
-      }
-    },
-    "node_modules/cmdk": {
-      "version": "0.2.0",
-      "resolved": "https://registry.npmjs.org/cmdk/-/cmdk-0.2.0.tgz",
-      "integrity": "sha512-JQpKvEOb86SnvMZbYaFKYhvzFntWBeSZdyii0rZPhKJj9uwJBxu4DaVYDrRN7r3mPop56oPhRw+JYWTKs66TYw==",
-      "dependencies": {
-        "@radix-ui/react-dialog": "1.0.0",
-        "command-score": "0.1.2"
-      },
-      "peerDependencies": {
-        "react": "^18.0.0",
-        "react-dom": "^18.0.0"
-      }
-    },
-    "node_modules/command-score": {
-      "version": "0.1.2",
-      "resolved": "https://registry.npmjs.org/command-score/-/command-score-0.1.2.tgz",
-      "integrity": "sha512-VtDvQpIJBvBatnONUsPzXYFVKQQAhuf3XTNOAsdBxCNO/QCtUUd8LSgjn0GVarBkCad6aJCZfXgrjYbl/KRr7w=="
-    },
-    "node_modules/detect-node-es": {
-      "version": "1.1.0",
-      "resolved": "https://registry.npmjs.org/detect-node-es/-/detect-node-es-1.1.0.tgz",
-      "integrity": "sha512-ypdmJU/TbBby2Dxibuv7ZLW3Bs1QEmM7nHjEANfohJLvE0XVujisn1qPJcZxg+qDucsr+bP6fLD1rPS3AhJ7EQ=="
-    },
-    "node_modules/get-nonce": {
-      "version": "1.0.1",
-      "resolved": "https://registry.npmjs.org/get-nonce/-/get-nonce-1.0.1.tgz",
-      "integrity": "sha512-FJhYRoDaiatfEkUK8HKlicmu/3SGFD51q3itKDGoSTysQJBnfOcxU5GxnhE1E6soB76MbT0MBtnKJuXyAx+96Q==",
-      "engines": {
-        "node": ">=6"
-      }
-    },
-    "node_modules/invariant": {
-      "version": "2.2.4",
-      "resolved": "https://registry.npmjs.org/invariant/-/invariant-2.2.4.tgz",
-      "integrity": "sha512-phJfQVBuaJM5raOpJjSfkiD6BpbCE4Ns//LaXl6wGYtUBY83nWS6Rf9tXm2e8VaK60JEjYldbPif/A2B1C2gNA==",
-      "dependencies": {
-        "loose-envify": "^1.0.0"
-      }
-    },
-    "node_modules/js-tokens": {
-      "version": "4.0.0",
-      "resolved": "https://registry.npmjs.org/js-tokens/-/js-tokens-4.0.0.tgz",
-      "integrity": "sha512-RdJUflcE3cUzKiMqQgsCu06FPu9UdIJO0beYbPhHN4k6apgJtifcoCtT9bcxOpYBtpD2kCM6Sbzg4CausW/PKQ=="
-    },
-    "node_modules/loose-envify": {
-      "version": "1.4.0",
-      "resolved": "https://registry.npmjs.org/loose-envify/-/loose-envify-1.4.0.tgz",
-      "integrity": "sha512-lyuxPGr/Wfhrlem2CL/UcnUc1zcqKAImBDzukY7Y5F/yQiNdko6+fRLevlw1HgMySw7f611UIY408EtxRSoK3Q==",
-      "dependencies": {
-        "js-tokens": "^3.0.0 || ^4.0.0"
-      },
-      "bin": {
-        "loose-envify": "cli.js"
-      }
-    },
-    "node_modules/react": {
-      "version": "18.2.0",
-      "resolved": "https://registry.npmjs.org/react/-/react-18.2.0.tgz",
-      "integrity": "sha512-/3IjMdb2L9QbBdWiW5e3P2/npwMBaU9mHCSCUzNln0ZCYbcfTsGbTJrU/kGemdH2IWmB2ioZ+zkxtmq6g09fGQ==",
-      "peer": true,
-      "dependencies": {
-        "loose-envify": "^1.1.0"
-      },
-      "engines": {
-        "node": ">=0.10.0"
-      }
-    },
-    "node_modules/react-dom": {
-      "version": "18.2.0",
-      "resolved": "https://registry.npmjs.org/react-dom/-/react-dom-18.2.0.tgz",
-      "integrity": "sha512-6IMTriUmvsjHUjNtEDudZfuDQUoWXVxKHhlEGSk81n4YFS+r/Kl99wXiwlVXtPBtJenozv2P+hxDsw9eA7Xo6g==",
-      "peer": true,
-      "dependencies": {
-        "loose-envify": "^1.1.0",
-        "scheduler": "^0.23.0"
-      },
-      "peerDependencies": {
-        "react": "^18.2.0"
-      }
-    },
-    "node_modules/react-remove-scroll": {
-      "version": "2.5.5",
-      "resolved": "https://registry.npmjs.org/react-remove-scroll/-/react-remove-scroll-2.5.5.tgz",
-      "integrity": "sha512-ImKhrzJJsyXJfBZ4bzu8Bwpka14c/fQt0k+cyFp/PBhTfyDnU5hjOtM4AG/0AMyy8oKzOTR0lDgJIM7pYXI0kw==",
-      "dependencies": {
-        "react-remove-scroll-bar": "^2.3.3",
-        "react-style-singleton": "^2.2.1",
-        "tslib": "^2.1.0",
-        "use-callback-ref": "^1.3.0",
-        "use-sidecar": "^1.1.2"
-      },
-      "engines": {
-        "node": ">=10"
-      },
-      "peerDependencies": {
-        "@types/react": "^16.8.0 || ^17.0.0 || ^18.0.0",
-        "react": "^16.8.0 || ^17.0.0 || ^18.0.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        }
-      }
-    },
-    "node_modules/react-remove-scroll-bar": {
-      "version": "2.3.4",
-      "resolved": "https://registry.npmjs.org/react-remove-scroll-bar/-/react-remove-scroll-bar-2.3.4.tgz",
-      "integrity": "sha512-63C4YQBUt0m6ALadE9XV56hV8BgJWDmmTPY758iIJjfQKt2nYwoUrPk0LXRXcB/yIj82T1/Ixfdpdk68LwIB0A==",
-      "dependencies": {
-        "react-style-singleton": "^2.2.1",
-        "tslib": "^2.0.0"
-      },
-      "engines": {
-        "node": ">=10"
-      },
-      "peerDependencies": {
-        "@types/react": "^16.8.0 || ^17.0.0 || ^18.0.0",
-        "react": "^16.8.0 || ^17.0.0 || ^18.0.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        }
-      }
-    },
-    "node_modules/react-style-singleton": {
-      "version": "2.2.1",
-      "resolved": "https://registry.npmjs.org/react-style-singleton/-/react-style-singleton-2.2.1.tgz",
-      "integrity": "sha512-ZWj0fHEMyWkHzKYUr2Bs/4zU6XLmq9HsgBURm7g5pAVfyn49DgUiNgY2d4lXRlYSiCif9YBGpQleewkcqddc7g==",
-      "dependencies": {
-        "get-nonce": "^1.0.0",
-        "invariant": "^2.2.4",
-        "tslib": "^2.0.0"
-      },
-      "engines": {
-        "node": ">=10"
-      },
-      "peerDependencies": {
-        "@types/react": "^16.8.0 || ^17.0.0 || ^18.0.0",
-        "react": "^16.8.0 || ^17.0.0 || ^18.0.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        }
-      }
-    },
-    "node_modules/regenerator-runtime": {
-      "version": "0.14.0",
-      "resolved": "https://registry.npmjs.org/regenerator-runtime/-/regenerator-runtime-0.14.0.tgz",
-      "integrity": "sha512-srw17NI0TUWHuGa5CFGGmhfNIeja30WMBfbslPNhf6JrqQlLN5gcrvig1oqPxiVaXb0oW0XRKtH6Nngs5lKCIA=="
-    },
-    "node_modules/scheduler": {
-      "version": "0.23.0",
-      "resolved": "https://registry.npmjs.org/scheduler/-/scheduler-0.23.0.tgz",
-      "integrity": "sha512-CtuThmgHNg7zIZWAXi3AsyIzA3n4xx7aNyjwC2VJldO2LMVDhFK+63xGqq6CsJH4rTAt6/M+N4GhZiDYPx9eUw==",
-      "peer": true,
-      "dependencies": {
-        "loose-envify": "^1.1.0"
-      }
-    },
-    "node_modules/tslib": {
-      "version": "2.6.2",
-      "resolved": "https://registry.npmjs.org/tslib/-/tslib-2.6.2.tgz",
-      "integrity": "sha512-AEYxH93jGFPn/a2iVAwW87VuUIkR1FVUKB77NwMF7nBTDkDrrT/Hpt/IrCJ0QXhW27jTBDcf5ZY7w6RiqTMw2Q=="
-    },
-    "node_modules/use-callback-ref": {
-      "version": "1.3.0",
-      "resolved": "https://registry.npmjs.org/use-callback-ref/-/use-callback-ref-1.3.0.tgz",
-      "integrity": "sha512-3FT9PRuRdbB9HfXhEq35u4oZkvpJ5kuYbpqhCfmiZyReuRgpnhDlbr2ZEnnuS0RrJAPn6l23xjFg9kpDM+Ms7w==",
-      "dependencies": {
-        "tslib": "^2.0.0"
-      },
-      "engines": {
-        "node": ">=10"
-      },
-      "peerDependencies": {
-        "@types/react": "^16.8.0 || ^17.0.0 || ^18.0.0",
-        "react": "^16.8.0 || ^17.0.0 || ^18.0.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        }
-      }
-    },
-    "node_modules/use-sidecar": {
-      "version": "1.1.2",
-      "resolved": "https://registry.npmjs.org/use-sidecar/-/use-sidecar-1.1.2.tgz",
-      "integrity": "sha512-epTbsLuzZ7lPClpz2TyryBfztm7m+28DlEv2ZCQ3MDr5ssiwyOwGH/e5F9CkfWjJ1t4clvI58yF822/GUkjjhw==",
-      "dependencies": {
-        "detect-node-es": "^1.1.0",
-        "tslib": "^2.0.0"
-      },
-      "engines": {
-        "node": ">=10"
-      },
-      "peerDependencies": {
-        "@types/react": "^16.9.0 || ^17.0.0 || ^18.0.0",
-        "react": "^16.8.0 || ^17.0.0 || ^18.0.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        }
-      }
-    }
-  }
-}
diff --git a/package.json b/package.json
deleted file mode 100644
index 33d31f0d146..00000000000
--- a/package.json
+++ /dev/null
@@ -1,6 +0,0 @@
-{
-  "dependencies": {
-    "@radix-ui/react-popover": "^1.0.7",
-    "cmdk": "^0.2.0"
-  }
-}
diff --git a/poetry.lock b/poetry.lock
index 04dfa7a1661..c07ae2e947e 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
 
 [[package]]
 name = "aiohttp"
@@ -156,30 +156,31 @@ vine = ">=5.0.0,<6.0.0"
 
 [[package]]
 name = "annotated-types"
-version = "0.6.0"
+version = "0.7.0"
 description = "Reusable constraint types to use with typing.Annotated"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "annotated_types-0.6.0-py3-none-any.whl", hash = "sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43"},
-    {file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"},
+    {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
+    {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
 ]
 
 [[package]]
 name = "anthropic"
-version = "0.25.7"
+version = "0.29.0"
 description = "The official Python library for the anthropic API"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "anthropic-0.25.7-py3-none-any.whl", hash = "sha256:419a276eb20cfb7ddaac03c7e28e4e12df3ace71bcf33071a68c9a03c0dfcbdd"},
-    {file = "anthropic-0.25.7.tar.gz", hash = "sha256:e7de4c8ba8e7e8248ad7f05ed9176634780b95b67c678d23915d8964c8a26f4e"},
+    {file = "anthropic-0.29.0-py3-none-any.whl", hash = "sha256:d16010715129c8bc3295b74fbf4da73cfb156618bf0abb2d007255983266b76a"},
+    {file = "anthropic-0.29.0.tar.gz", hash = "sha256:3eb558a232d83bdf7cdedb75663bf7ff7a8b50cc10acaa9ce6494ff295b8506a"},
 ]
 
 [package.dependencies]
 anyio = ">=3.5.0,<5"
 distro = ">=1.7.0,<2"
 httpx = ">=0.23.0,<1"
+jiter = ">=0.4.0,<1"
 pydantic = ">=1.9.0,<3"
 sniffio = "*"
 tokenizers = ">=0.13.0"
@@ -191,13 +192,13 @@ vertex = ["google-auth (>=2,<3)"]
 
 [[package]]
 name = "anyio"
-version = "4.3.0"
+version = "4.4.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "anyio-4.3.0-py3-none-any.whl", hash = "sha256:048e05d0f6caeed70d731f3db756d35dcc1f35747c8c403364a8332c630441b8"},
-    {file = "anyio-4.3.0.tar.gz", hash = "sha256:f75253795a87df48568485fd18cdd2a3fa5c4f7c5be8e5e36637733fce06fed6"},
+    {file = "anyio-4.4.0-py3-none-any.whl", hash = "sha256:c1b2d8f46a8a812513012e1107cb0e68c17159a7a594208005a57dc776e1bdc7"},
+    {file = "anyio-4.4.0.tar.gz", hash = "sha256:5aadc6a1bbb7cdb0bede386cac5e2940f5e2ff3aa20277e991cf028e0585ce94"},
 ]
 
 [package.dependencies]
@@ -239,6 +240,45 @@ typing-extensions = {version = ">=4", markers = "python_version < \"3.11\""}
 [package.extras]
 tests = ["mypy (>=0.800)", "pytest", "pytest-asyncio"]
 
+[[package]]
+name = "assemblyai"
+version = "0.26.0"
+description = "AssemblyAI Python SDK"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "assemblyai-0.26.0-py3-none-any.whl", hash = "sha256:46689abfe1bf9bccd595f65314aab7deec3b4859630f6882099165862d305421"},
+    {file = "assemblyai-0.26.0.tar.gz", hash = "sha256:7cd7cf3231333e9ea14a130b7a72bf710c66c5d1877bbfd68ab13ff546920e33"},
+]
+
+[package.dependencies]
+httpx = ">=0.19.0"
+pydantic = ">=1.7.0,<1.10.7 || >1.10.7"
+typing-extensions = ">=3.7"
+websockets = ">=11.0"
+
+[package.extras]
+extras = ["pyaudio (>=0.2.13)"]
+
+[[package]]
+name = "astrapy"
+version = "1.3.0"
+description = "AstraPy is a Pythonic SDK for DataStax Astra and its Data API"
+optional = false
+python-versions = "<4.0.0,>=3.8.0"
+files = [
+    {file = "astrapy-1.3.0-py3-none-any.whl", hash = "sha256:349589b1616e6d7765cbd5c0062f9b8cebcee1a8315057531307ff066994a70d"},
+    {file = "astrapy-1.3.0.tar.gz", hash = "sha256:7d6fbccb93cf69433182d3e258b12f9e3c6f91b4b109aaa91df161f4434ea1d2"},
+]
+
+[package.dependencies]
+bson = ">=0.5.10,<0.6.0"
+cassio = ">=0.1.4,<0.2.0"
+deprecation = ">=2.1.0,<2.2.0"
+httpx = {version = ">=0.25.2,<1", extras = ["http2"]}
+toml = ">=0.10.2,<0.11.0"
+uuid6 = ">=2024.1.12,<2024.2.0"
+
 [[package]]
 name = "asttokens"
 version = "2.4.1"
@@ -268,6 +308,20 @@ files = [
     {file = "async_timeout-4.0.3-py3-none-any.whl", hash = "sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028"},
 ]
 
+[[package]]
+name = "asyncer"
+version = "0.0.5"
+description = "Asyncer, async and await, focused on developer experience."
+optional = false
+python-versions = ">=3.8,<4.0"
+files = [
+    {file = "asyncer-0.0.5-py3-none-any.whl", hash = "sha256:ba06d6de3c750763868dffacf89b18d40b667605b0241d31c2ee43f188e2ab74"},
+    {file = "asyncer-0.0.5.tar.gz", hash = "sha256:2979f3e04cbedfe5cfeb79027dcf7d004fcc4430a0ca0066ae20490f218ec06e"},
+]
+
+[package.dependencies]
+anyio = ">=3.4.0,<5.0"
+
 [[package]]
 name = "attrs"
 version = "23.2.0"
@@ -289,13 +343,13 @@ tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "p
 
 [[package]]
 name = "authlib"
-version = "1.3.0"
+version = "1.3.1"
 description = "The ultimate Python library in building OAuth and OpenID Connect servers and clients."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "Authlib-1.3.0-py2.py3-none-any.whl", hash = "sha256:9637e4de1fb498310a56900b3e2043a206b03cb11c05422014b0302cbc814be3"},
-    {file = "Authlib-1.3.0.tar.gz", hash = "sha256:959ea62a5b7b5123c5059758296122b57cd2585ae2ed1c0622c21b371ffdae06"},
+    {file = "Authlib-1.3.1-py2.py3-none-any.whl", hash = "sha256:d35800b973099bbadc49b42b256ecb80041ad56b7fe1216a362c7943c088f377"},
+    {file = "authlib-1.3.1.tar.gz", hash = "sha256:7ae843f03c06c5c0debd63c9db91f9fda64fa62a42a77419fa15fbb7e7a58917"},
 ]
 
 [package.dependencies]
@@ -314,13 +368,13 @@ files = [
 
 [[package]]
 name = "bce-python-sdk"
-version = "0.9.7"
+version = "0.9.14"
 description = "BCE SDK for python"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,<4,>=2.7"
 files = [
-    {file = "bce_python_sdk-0.9.7-py3-none-any.whl", hash = "sha256:6c8d07118de9491803c0cef6f5486ebe2f562f850c14552442d7c448b6a5d35a"},
-    {file = "bce_python_sdk-0.9.7.tar.gz", hash = "sha256:4a27f6723af9fc39f58b48d2d6dce82f88cf19ab9507e20bd2f0b7bca64bd17d"},
+    {file = "bce_python_sdk-0.9.14-py3-none-any.whl", hash = "sha256:5704aa454151ee608b01ddda7531457433f9b4bb8afbd00706dd368f3b4339a1"},
+    {file = "bce_python_sdk-0.9.14.tar.gz", hash = "sha256:7cbd182ec1e21034f10d3cdb812f3171d31908f1a783d6cf643039272942d8e8"},
 ]
 
 [package.dependencies]
@@ -407,17 +461,17 @@ files = [
 
 [[package]]
 name = "boto3"
-version = "1.34.100"
+version = "1.34.131"
 description = "The AWS SDK for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "boto3-1.34.100-py3-none-any.whl", hash = "sha256:bbe2bb0dfcd92380da2a2fa2c2f586ba06c118b796380b2d0f3d0ebd103ec28d"},
-    {file = "boto3-1.34.100.tar.gz", hash = "sha256:016f6d66900bb1a835dea2063f1e91fc7057dbf7fb7df8add0706f0da9492631"},
+    {file = "boto3-1.34.131-py3-none-any.whl", hash = "sha256:05e388cb937e82be70bfd7eb0c84cf8011ff35cf582a593873ac21675268683b"},
+    {file = "boto3-1.34.131.tar.gz", hash = "sha256:dab8f72a6c4e62b4fd70da09e08a6b2a65ea2115b27dd63737142005776ef216"},
 ]
 
 [package.dependencies]
-botocore = ">=1.34.100,<1.35.0"
+botocore = ">=1.34.131,<1.35.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.10.0,<0.11.0"
 
@@ -426,25 +480,22 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.34.100"
+version = "1.34.131"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "botocore-1.34.100-py3-none-any.whl", hash = "sha256:ee516fb9e9e906d311f2a9921afaf79c594db239a5b4b626e89e6960401aad0b"},
-    {file = "botocore-1.34.100.tar.gz", hash = "sha256:513bea60c6531af8e1ae1fdb2947e3ef99712f39c58f4656b5efef9cb6f75a13"},
+    {file = "botocore-1.34.131-py3-none-any.whl", hash = "sha256:13b011d7b206ce00727dcee26548fa3b550db9046d5a0e90ac25a6e6c8fde6ef"},
+    {file = "botocore-1.34.131.tar.gz", hash = "sha256:502ddafe1d627fcf1e4c007c86454e5dd011dba7c58bd8e8a5368a79f3e387dc"},
 ]
 
 [package.dependencies]
 jmespath = ">=0.7.1,<2.0.0"
 python-dateutil = ">=2.1,<3.0.0"
-urllib3 = [
-    {version = ">=1.25.4,<1.27", markers = "python_version < \"3.10\""},
-    {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""},
-]
+urllib3 = {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""}
 
 [package.extras]
-crt = ["awscrt (==0.20.9)"]
+crt = ["awscrt (==0.20.11)"]
 
 [[package]]
 name = "brotli"
@@ -538,6 +589,20 @@ files = [
     {file = "Brotli-1.1.0.tar.gz", hash = "sha256:81de08ac11bcb85841e440c13611c00b67d3bf82698314928d0b676362546724"},
 ]
 
+[[package]]
+name = "bson"
+version = "0.5.10"
+description = "BSON codec for Python"
+optional = false
+python-versions = "*"
+files = [
+    {file = "bson-0.5.10.tar.gz", hash = "sha256:d6511b2ab051139a9123c184de1a04227262173ad593429d21e443d6462d6590"},
+]
+
+[package.dependencies]
+python-dateutil = ">=2.4.0"
+six = ">=1.9.0"
+
 [[package]]
 name = "build"
 version = "1.2.1"
@@ -574,6 +639,69 @@ files = [
     {file = "cachetools-5.3.3.tar.gz", hash = "sha256:ba29e2dfa0b8b556606f097407ed1aa62080ee108ab0dc5ec9d6a723a007d105"},
 ]
 
+[[package]]
+name = "cassandra-driver"
+version = "3.29.1"
+description = "DataStax Driver for Apache Cassandra"
+optional = false
+python-versions = "*"
+files = [
+    {file = "cassandra-driver-3.29.1.tar.gz", hash = "sha256:38e9c2a2f2a9664bb03f1f852d5fccaeff2163942b5db35dffcf8bf32a51cfe5"},
+    {file = "cassandra_driver-3.29.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a8f175c7616a63ca48cb8bd4acc443e2a3d889964d5157cead761f23cc8db7bd"},
+    {file = "cassandra_driver-3.29.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:7d66398952b9cd21c40edff56e22b6d3bce765edc94b207ddb5896e7bc9aa088"},
+    {file = "cassandra_driver-3.29.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5bbc6f575ef109ce5d4abfa2033bf36c394032abd83e32ab671159ce68e7e17b"},
+    {file = "cassandra_driver-3.29.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:78f241af75696adb3e470209e2fbb498804c99e2b197d24d74774eee6784f283"},
+    {file = "cassandra_driver-3.29.1-cp310-cp310-win32.whl", hash = "sha256:54d9e651a742d6ca3d874ef8d06a40fa032d2dba97142da2d36f60c5675e39f8"},
+    {file = "cassandra_driver-3.29.1-cp310-cp310-win_amd64.whl", hash = "sha256:630dc5423cd40eba0ee9db31065e2238098ff1a25a6b1bd36360f85738f26e4b"},
+    {file = "cassandra_driver-3.29.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:0b841d38c96bb878d31df393954863652d6d3a85f47bcc00fd1d70a5ea73023f"},
+    {file = "cassandra_driver-3.29.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:19cc7375f673e215bd4cbbefae2de9f07830be7dabef55284a2d2ff8d8691efe"},
+    {file = "cassandra_driver-3.29.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2b74b355be3dcafe652fffda8f14f385ccc1a8dae9df28e6080cc660da39b45f"},
+    {file = "cassandra_driver-3.29.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0e6dac7eddd3f4581859f180383574068a3f113907811b4dad755a8ace4c3fbd"},
+    {file = "cassandra_driver-3.29.1-cp311-cp311-win32.whl", hash = "sha256:293a79dba417112b56320ed0013d71fd7520f5fc4a5fd2ac8000c762c6dd5b07"},
+    {file = "cassandra_driver-3.29.1-cp311-cp311-win_amd64.whl", hash = "sha256:7c2374fdf1099047a6c9c8329c79d71ad11e61d9cca7de92a0f49655da4bdd8a"},
+    {file = "cassandra_driver-3.29.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:4431a0c836f33a33c733c84997fbdb6398be005c4d18a8c8525c469fdc29393c"},
+    {file = "cassandra_driver-3.29.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:d23b08381b171a9e42ace483a82457edcddada9e8367e31677b97538cde2dc34"},
+    {file = "cassandra_driver-3.29.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4beb29a0139e63a10a5b9a3c7b72c30a4e6e20c9f0574f9d22c0d4144fe3d348"},
+    {file = "cassandra_driver-3.29.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1b206423cc454a78f16b411e7cb641dddc26168ac2e18f2c13665f5f3c89868c"},
+    {file = "cassandra_driver-3.29.1-cp312-cp312-win32.whl", hash = "sha256:ac898cca7303a3a2a3070513eee12ef0f1be1a0796935c5b8aa13dae8c0a7f7e"},
+    {file = "cassandra_driver-3.29.1-cp312-cp312-win_amd64.whl", hash = "sha256:4ad0c9fb2229048ad6ff8c6ddbf1fdc78b111f2b061c66237c2257fcc4a31b14"},
+    {file = "cassandra_driver-3.29.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:4282c5deac462e4bb0f6fd0553a33d514dbd5ee99d0812594210080330ddd1a2"},
+    {file = "cassandra_driver-3.29.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:41ca7eea069754002418d3bdfbd3dfd150ea12cb9db474ab1a01fa4679a05bcb"},
+    {file = "cassandra_driver-3.29.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f6639ccb268c4dc754bc45e03551711780d0e02cb298ab26cde1f42b7bcc74f8"},
+    {file = "cassandra_driver-3.29.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1a9d7d3b1be24a7f113b5404186ccccc977520401303a8fe78ba34134cad2482"},
+    {file = "cassandra_driver-3.29.1-cp38-cp38-win32.whl", hash = "sha256:81c8fd556c6e1bb93577e69c1f10a3fadf7ddb93958d226ccbb72389396e9a92"},
+    {file = "cassandra_driver-3.29.1-cp38-cp38-win_amd64.whl", hash = "sha256:cfe70ed0f27af949de2767ea9cef4092584e8748759374a55bf23c30746c7b23"},
+    {file = "cassandra_driver-3.29.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:a2c03c1d834ac1a0ae39f9af297a8cd38829003ce910b08b324fb3abe488ce2b"},
+    {file = "cassandra_driver-3.29.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9a3e1e2b01f3b7a5cf75c97401bce830071d99c42464352087d7475e0161af93"},
+    {file = "cassandra_driver-3.29.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:90c42006665a4e490b0766b70f3d637f36a30accbef2da35d6d4081c0e0bafc3"},
+    {file = "cassandra_driver-3.29.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0c1aca41f45772f9759e8246030907d92bc35fbbdc91525a3cb9b49939b80ad7"},
+    {file = "cassandra_driver-3.29.1-cp39-cp39-win32.whl", hash = "sha256:ce4a66245d4a0c8b07fdcb6398698c2c42eb71245fb49cff39435bb702ff7be6"},
+    {file = "cassandra_driver-3.29.1-cp39-cp39-win_amd64.whl", hash = "sha256:4cae69ceb1b1d9383e988a1b790115253eacf7867ceb15ed2adb736e3ce981be"},
+]
+
+[package.dependencies]
+geomet = ">=0.1,<0.3"
+
+[package.extras]
+cle = ["cryptography (>=35.0)"]
+graph = ["gremlinpython (==3.4.6)"]
+
+[[package]]
+name = "cassio"
+version = "0.1.8"
+description = "A framework-agnostic Python library to seamlessly integrate Apache Cassandra(R) with ML/LLM/genAI workloads."
+optional = false
+python-versions = "<4.0,>=3.8"
+files = [
+    {file = "cassio-0.1.8-py3-none-any.whl", hash = "sha256:c09e7c884ba7227ff5277c86f3b0f31c523672ea407f56d093c7227e69c54d94"},
+    {file = "cassio-0.1.8.tar.gz", hash = "sha256:4e09929506cb3dd6fad217e89846d0a1a59069afd24b82c72526ef6f2e9271af"},
+]
+
+[package.dependencies]
+cassandra-driver = ">=3.28.0,<4.0.0"
+numpy = ">=1.0"
+requests = ">=2.31.0,<3.0.0"
+
 [[package]]
 name = "celery"
 version = "5.4.0"
@@ -706,6 +834,17 @@ files = [
 [package.dependencies]
 pycparser = "*"
 
+[[package]]
+name = "cfgv"
+version = "3.4.0"
+description = "Validate configuration and produce human readable error messages."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "cfgv-3.4.0-py2.py3-none-any.whl", hash = "sha256:b7265b1f29fd3316bfcd2b330d63d024f2bfd8bcb8b0272f8e19a504856c48f9"},
+    {file = "cfgv-3.4.0.tar.gz", hash = "sha256:e52591d4c5f5dead8e0f673fb16db7949d2cfb3f7da4582893288f0ded8fe560"},
+]
+
 [[package]]
 name = "chardet"
 version = "5.2.0"
@@ -855,13 +994,13 @@ numpy = "*"
 
 [[package]]
 name = "chromadb"
-version = "0.4.24"
+version = "0.5.3"
 description = "Chroma."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "chromadb-0.4.24-py3-none-any.whl", hash = "sha256:3a08e237a4ad28b5d176685bd22429a03717fe09d35022fb230d516108da01da"},
-    {file = "chromadb-0.4.24.tar.gz", hash = "sha256:a5c80b4e4ad9b236ed2d4899a5b9e8002b489293f2881cb2cadab5b199ee1c72"},
+    {file = "chromadb-0.5.3-py3-none-any.whl", hash = "sha256:b3874f08356e291c68c6d2e177db472cd51f22f3af7b9746215b748fd1e29982"},
+    {file = "chromadb-0.5.3.tar.gz", hash = "sha256:05d887f56a46b2e0fc6ac5ab979503a27b9ee50d5ca9e455f83b2fb9840cd026"},
 ]
 
 [package.dependencies]
@@ -870,10 +1009,11 @@ build = ">=1.0.3"
 chroma-hnswlib = "0.7.3"
 fastapi = ">=0.95.2"
 grpcio = ">=1.58.0"
+httpx = ">=0.27.0"
 importlib-resources = "*"
 kubernetes = ">=28.1.0"
 mmh3 = ">=4.0.1"
-numpy = ">=1.22.5"
+numpy = ">=1.22.5,<2.0.0"
 onnxruntime = ">=1.14.1"
 opentelemetry-api = ">=1.2.0"
 opentelemetry-exporter-otlp-proto-grpc = ">=1.2.0"
@@ -882,7 +1022,6 @@ opentelemetry-sdk = ">=1.2.0"
 orjson = ">=3.9.12"
 overrides = ">=7.3.1"
 posthog = ">=2.4.0"
-pulsar-client = ">=3.1.0"
 pydantic = ">=1.9"
 pypika = ">=0.48.9"
 PyYAML = ">=6.0.0"
@@ -894,6 +1033,58 @@ typer = ">=0.9.0"
 typing-extensions = ">=4.5.0"
 uvicorn = {version = ">=0.18.3", extras = ["standard"]}
 
+[[package]]
+name = "clevercsv"
+version = "0.8.2"
+description = "A Python package for handling messy CSV files"
+optional = false
+python-versions = ">=3.8.0"
+files = [
+    {file = "clevercsv-0.8.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:67ab7dc8490ed391add1f26db262d09067796be7e76948bde0a9c6f1dddb7508"},
+    {file = "clevercsv-0.8.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bcf2402578f2f1c655ed21370e668f44098d9734129804f0fba1779dab7f2c47"},
+    {file = "clevercsv-0.8.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:7a65d9722303e3db439124418ee312fcab6a75897175842690eae94bdf51b72b"},
+    {file = "clevercsv-0.8.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:755369a540d40295ea2898343c44dc8a4886e7c9e2fd5f5a780d2995a5516e1d"},
+    {file = "clevercsv-0.8.2-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0fe155a8e39160692869f3b9b8a8bca9ba215cc350b9c804437edaa90ede4d16"},
+    {file = "clevercsv-0.8.2-cp310-cp310-win_amd64.whl", hash = "sha256:1e38761cd3f1977f8298a1a4cac3981c953aaf2226c0f1cc3f1ccf2172100ba4"},
+    {file = "clevercsv-0.8.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:3502c7af7a4b7a50b923a5972a9357ae2a37aa857dd96c7489c201d104e5d0b9"},
+    {file = "clevercsv-0.8.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:1ed99467ba2d47a2e1e81e990f74c7542d2cd0da120d922c5c992c17ac3ba026"},
+    {file = "clevercsv-0.8.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:1be9c6f2e73117a77d0b0491c07738fd177ba5e2bf996ac9a221417b223162d7"},
+    {file = "clevercsv-0.8.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1b942ee944264e5c4dbf276de579a502d11d3571daec97af5ebe54e6cadf2b77"},
+    {file = "clevercsv-0.8.2-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:48a8a81c1f324e2a5589e0de9b6bd965f1dd19b54b0e9e7f97cab5edf888d486"},
+    {file = "clevercsv-0.8.2-cp311-cp311-win_amd64.whl", hash = "sha256:e474cc07167010c4cb6b1a65588309bc855537cae01ab63cdf61a511e69b4722"},
+    {file = "clevercsv-0.8.2-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:2bfa4fe39b3b51bcf07d2f8cf033d7ac53bac5292ef7b9a88bae7c9e6689f366"},
+    {file = "clevercsv-0.8.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:3e2528f89ee483878c3c8030a2d2da4eef2a8a7ac3036adad0767c1025a99df7"},
+    {file = "clevercsv-0.8.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:8832093b49defb2f224a98158265fe0bbee9ed6a70a8105cf8d7c4b949a8e95b"},
+    {file = "clevercsv-0.8.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8b68a7fbddef0e1746d3ec5e4d114e1900eb1a86d71250b0b208622daa5d2c7c"},
+    {file = "clevercsv-0.8.2-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9cb807e7bea5a18cca4d51d1abc58e2f975759b7a0bcb78e1677c56ac7827e9a"},
+    {file = "clevercsv-0.8.2-cp312-cp312-win_amd64.whl", hash = "sha256:74133c7225037052247584cf2df99b052fce4659a423c30f0ea84532e0a30924"},
+    {file = "clevercsv-0.8.2-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:cb9241fe5d6a2e3330c52c04fd18b7c279bbdeb7d0ecef8c4267f14336021d78"},
+    {file = "clevercsv-0.8.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:c1129f1328c0940b13b9b08a72f04c8b0a85a6a021994999f34cd3abe19ca206"},
+    {file = "clevercsv-0.8.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:7f75f46a4d6b75380f2c0b8190fed6fbb7c1400246ce52a71c68f59baf1ec362"},
+    {file = "clevercsv-0.8.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5bf6058a4930fde2ff00ab82e0ec961247b6e2dd503f67a16f51382b8654cbc2"},
+    {file = "clevercsv-0.8.2-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0d9f29bb3fb4c0d35416cc0baf9221d1476f3bee4c367c3618f81ac0f45b71af"},
+    {file = "clevercsv-0.8.2-cp38-cp38-win_amd64.whl", hash = "sha256:17455184e44ce60bb4d21eddd477c7f505b735faff82012d5c857dd31a22e0aa"},
+    {file = "clevercsv-0.8.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:dcf560e643c1fb37d3523a11b0dfbce0bda63ac831d8c71fa2973b262bc1603f"},
+    {file = "clevercsv-0.8.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:41513c6ff653baded084a96318e4bdc078a9cce4ff5f9b4656d49aa2421e2e74"},
+    {file = "clevercsv-0.8.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:71b88f1181fba6e5f6a46292d27f068bdc50200b5660b82a770adfcfb5ae076e"},
+    {file = "clevercsv-0.8.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ff57768d060ac6509dd33a65fa1d2a0fbb70cd62d0075d80a96367a2a9150765"},
+    {file = "clevercsv-0.8.2-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7f9514a169270fd095827698d1d5d80a8a3785f600441a11fb3a469ad5209eeb"},
+    {file = "clevercsv-0.8.2-cp39-cp39-win_amd64.whl", hash = "sha256:850f9c112377a73b0bac093df45b846513d34509ba3774fe04061ba4a4afca92"},
+    {file = "clevercsv-0.8.2.tar.gz", hash = "sha256:fac1b9671bd77e7835f5fe22898df88b1a11cfd924ff71fc2d0f066065dea940"},
+]
+
+[package.dependencies]
+chardet = ">=3.0"
+packaging = ">=23.0"
+regex = ">=2018.11"
+
+[package.extras]
+dev = ["faust-cchardet (>=2.1.18)", "furo", "green", "m2r2", "pandas (>=1.0.0)", "pytest (>=2.6)", "sphinx", "tabview (>=1.4)", "termcolor", "wilderness (>=0.1.5)"]
+docs = ["furo", "m2r2", "sphinx"]
+full = ["faust-cchardet (>=2.1.18)", "pandas (>=1.0.0)", "tabview (>=1.4)", "wilderness (>=0.1.5)"]
+precommit = ["wilderness (>=0.1.5)"]
+tests = ["faust-cchardet (>=2.1.18)", "pandas (>=1.0.0)", "tabview (>=1.4)", "wilderness (>=0.1.5)"]
+
 [[package]]
 name = "click"
 version = "8.1.7"
@@ -957,24 +1148,45 @@ prompt-toolkit = ">=3.0.36"
 [package.extras]
 testing = ["pytest (>=7.2.1)", "pytest-cov (>=4.0.0)", "tox (>=4.4.3)"]
 
+[[package]]
+name = "codespell"
+version = "2.3.0"
+description = "Codespell"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "codespell-2.3.0-py3-none-any.whl", hash = "sha256:a9c7cef2501c9cfede2110fd6d4e5e62296920efe9abfb84648df866e47f58d1"},
+    {file = "codespell-2.3.0.tar.gz", hash = "sha256:360c7d10f75e65f67bad720af7007e1060a5d395670ec11a7ed1fed9dd17471f"},
+]
+
+[package.extras]
+dev = ["Pygments", "build", "chardet", "pre-commit", "pytest", "pytest-cov", "pytest-dependency", "ruff", "tomli", "twine"]
+hard-encoding-detection = ["chardet"]
+toml = ["tomli"]
+types = ["chardet (>=5.1.0)", "mypy", "pytest", "pytest-cov", "pytest-dependency"]
+
 [[package]]
 name = "cohere"
-version = "4.57"
-description = "Python SDK for the Cohere API"
+version = "5.5.8"
+description = ""
 optional = false
-python-versions = ">=3.8,<4.0"
+python-versions = "<4.0,>=3.8"
 files = [
-    {file = "cohere-4.57-py3-none-any.whl", hash = "sha256:479bdea81ae119e53f671f1ae808fcff9df88211780525d7ef2f7b99dfb32e59"},
-    {file = "cohere-4.57.tar.gz", hash = "sha256:71ace0204a92d1a2a8d4b949b88b353b4f22fc645486851924284cc5a0eb700d"},
+    {file = "cohere-5.5.8-py3-none-any.whl", hash = "sha256:e1ed84b90eadd13c6a68ee28e378a0bb955f8945eadc6eb7ee126b3399cafd54"},
+    {file = "cohere-5.5.8.tar.gz", hash = "sha256:84ce7666ff8fbdf4f41fb5f6ca452ab2639a514bc88967a2854a9b1b820d6ea0"},
 ]
 
 [package.dependencies]
-aiohttp = ">=3.0,<4.0"
-backoff = ">=2.0,<3.0"
-fastavro = ">=1.8,<2.0"
-importlib_metadata = ">=6.0,<7.0"
-requests = ">=2.25.0,<3.0.0"
-urllib3 = ">=1.26,<3"
+boto3 = ">=1.34.0,<2.0.0"
+fastavro = ">=1.9.4,<2.0.0"
+httpx = ">=0.21.2"
+httpx-sse = ">=0.4.0,<0.5.0"
+parameterized = ">=0.9.0,<0.10.0"
+pydantic = ">=1.9.2"
+requests = ">=2.0.0,<3.0.0"
+tokenizers = ">=0.15,<1"
+types-requests = ">=2.0.0,<3.0.0"
+typing_extensions = ">=4.0.0"
 
 [[package]]
 name = "colorama"
@@ -987,17 +1199,6 @@ files = [
     {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
 ]
 
-[[package]]
-name = "colorclass"
-version = "2.2.2"
-description = "Colorful worry-free console applications for Linux, Mac OS X, and Windows."
-optional = false
-python-versions = ">=2.6"
-files = [
-    {file = "colorclass-2.2.2-py2.py3-none-any.whl", hash = "sha256:6f10c273a0ef7a1150b1120b6095cbdd68e5cf36dfd5d0fc957a2500bbf99a55"},
-    {file = "colorclass-2.2.2.tar.gz", hash = "sha256:6d4fe287766166a98ca7bc6f6312daf04a0481b1eda43e7173484051c0ab4366"},
-]
-
 [[package]]
 name = "coloredlogs"
 version = "15.0.1"
@@ -1015,6 +1216,23 @@ humanfriendly = ">=9.1"
 [package.extras]
 cron = ["capturer (>=2.4)"]
 
+[[package]]
+name = "colorlog"
+version = "6.8.2"
+description = "Add colours to the output of Python's logging module."
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "colorlog-6.8.2-py3-none-any.whl", hash = "sha256:4dcbb62368e2800cb3c5abd348da7e53f6c362dda502ec27c560b2e58a66bd33"},
+    {file = "colorlog-6.8.2.tar.gz", hash = "sha256:3e3e079a41feb5a1b64f978b5ea4f46040a94f11f0e8bbb8261e3dbbeca64d44"},
+]
+
+[package.dependencies]
+colorama = {version = "*", markers = "sys_platform == \"win32\""}
+
+[package.extras]
+development = ["black", "flake8", "mypy", "pytest", "types-colorama"]
+
 [[package]]
 name = "comm"
 version = "0.2.2"
@@ -1032,16 +1250,6 @@ traitlets = ">=4"
 [package.extras]
 test = ["pytest"]
 
-[[package]]
-name = "compressed-rtf"
-version = "1.0.6"
-description = "Compressed Rich Text Format (RTF) compression and decompression package"
-optional = false
-python-versions = "*"
-files = [
-    {file = "compressed_rtf-1.0.6.tar.gz", hash = "sha256:c1c827f1d124d24608981a56e8b8691eb1f2a69a78ccad6440e7d92fde1781dd"},
-]
-
 [[package]]
 name = "configargparse"
 version = "1.7"
@@ -1057,65 +1265,99 @@ files = [
 test = ["PyYAML", "mock", "pytest"]
 yaml = ["PyYAML"]
 
+[[package]]
+name = "couchbase"
+version = "4.2.1"
+description = "Python Client for Couchbase"
+optional = true
+python-versions = ">=3.7"
+files = [
+    {file = "couchbase-4.2.1-cp310-cp310-macosx_10_15_x86_64.whl", hash = "sha256:7ad4c4462879f456a9067ac1788e62d852509439bac3538b9bc459a754666481"},
+    {file = "couchbase-4.2.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:06d91891c599ba0f5052e594ac025a2ca6ab7885e528b854ac9c125df7c74146"},
+    {file = "couchbase-4.2.1-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:0191d4a631ead533551cb9a214704ad5f3dfff2029e21a23b57725a0b5666b25"},
+    {file = "couchbase-4.2.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:b206790d6834a18c5e457f9a70f44774f476f3acccf9f22e8c1b5283a5bd03fa"},
+    {file = "couchbase-4.2.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:c5ca571b9ce017ecbd447de12cd46e213f93e0664bec6fca0a06e1768db1a4f8"},
+    {file = "couchbase-4.2.1-cp310-cp310-win_amd64.whl", hash = "sha256:675c615cfd4b04e73e94cf03c786da5105d94527f5c3a087813dba477a1379e9"},
+    {file = "couchbase-4.2.1-cp311-cp311-macosx_10_15_x86_64.whl", hash = "sha256:4cd09eedf162dc28386d9c6490e832c25068406c0f5d70a0417c0b1445394651"},
+    {file = "couchbase-4.2.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:dfebb11551c6d947ce6297ab02b5006b1ac8739dda3e10d41896db0dc8672915"},
+    {file = "couchbase-4.2.1-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:39e742ccfe90a0e59e6e1b0e12f0fe224a736c0207b218ef48048052f926e1c6"},
+    {file = "couchbase-4.2.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:f9ba24efddf47f30603275f5433434d8759a55233c78b3e4bc613c502ac429e9"},
+    {file = "couchbase-4.2.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:adfca3929f07fb4385dc52f08d3a60634012f364b176f95ab023cdd1bb7fe9c0"},
+    {file = "couchbase-4.2.1-cp311-cp311-win_amd64.whl", hash = "sha256:e1c68b28c6f0475961afb9fe626ad2bac8a5643b53f719675386f060db4b6e19"},
+    {file = "couchbase-4.2.1-cp38-cp38-macosx_10_15_x86_64.whl", hash = "sha256:137512462426cd495954c1815d78115d109308a4d9f8843b638285104388a359"},
+    {file = "couchbase-4.2.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:5987e5edcce7696e5f75b35be91f44fa69fb5eb95dba0957ad66f789affcdb36"},
+    {file = "couchbase-4.2.1-cp38-cp38-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:080cb0fc333bd4a641ede4ee14ff0c7dbe95067fbb280826ea546681e0b9f9e3"},
+    {file = "couchbase-4.2.1-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e317c2628a4a917083e8e7ce8e2662432b6a12ebac65fc00de6da2b37ab5975c"},
+    {file = "couchbase-4.2.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:de7f8699ae344e2e96706ee0eac67e96bfdd3412fb18dcfb81d8ba5837dd3dfb"},
+    {file = "couchbase-4.2.1-cp38-cp38-win_amd64.whl", hash = "sha256:82b9deb8b1fe8e8d7dde9c232ac5f4c11ff0f067930837af0e7769706e6a9453"},
+    {file = "couchbase-4.2.1-cp39-cp39-macosx_10_15_x86_64.whl", hash = "sha256:44502d069ea17a8d692b7c88d84bc0df2cf4e944cde337c8eb3175bc0b835bb9"},
+    {file = "couchbase-4.2.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:c0f131b816a7d91b755232872ba10f6d6ca5a715e595ee9534478bc97a518ae8"},
+    {file = "couchbase-4.2.1-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:e9b9deb312bbe5f9a8e63828f9de877714c4b09b7d88f7dc87b60e5ffb2a13e6"},
+    {file = "couchbase-4.2.1-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:71e8da251850d795975c3569c01d35ba1a556825dc7d9549ff9918d148255804"},
+    {file = "couchbase-4.2.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:d04492144ce520c612a2f8f265278c9f0cdf62fdd6f703e7a3210a7476b228f6"},
+    {file = "couchbase-4.2.1-cp39-cp39-win_amd64.whl", hash = "sha256:3f91b7699ea7b8253cf34c9fb6e191de9b2edfd7aa4d6f97b29c10b9a1670444"},
+    {file = "couchbase-4.2.1.tar.gz", hash = "sha256:dc1c60d3f2fc179db8225aac4cc30d601d73cf2535aaf023d607e86be2d7dd78"},
+]
+
 [[package]]
 name = "coverage"
-version = "7.5.1"
+version = "7.5.4"
 description = "Code coverage measurement for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "coverage-7.5.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c0884920835a033b78d1c73b6d3bbcda8161a900f38a488829a83982925f6c2e"},
-    {file = "coverage-7.5.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:39afcd3d4339329c5f58de48a52f6e4e50f6578dd6099961cf22228feb25f38f"},
-    {file = "coverage-7.5.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4a7b0ceee8147444347da6a66be737c9d78f3353b0681715b668b72e79203e4a"},
-    {file = "coverage-7.5.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4a9ca3f2fae0088c3c71d743d85404cec8df9be818a005ea065495bedc33da35"},
-    {file = "coverage-7.5.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5fd215c0c7d7aab005221608a3c2b46f58c0285a819565887ee0b718c052aa4e"},
-    {file = "coverage-7.5.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:4bf0655ab60d754491004a5efd7f9cccefcc1081a74c9ef2da4735d6ee4a6223"},
-    {file = "coverage-7.5.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:61c4bf1ba021817de12b813338c9be9f0ad5b1e781b9b340a6d29fc13e7c1b5e"},
-    {file = "coverage-7.5.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:db66fc317a046556a96b453a58eced5024af4582a8dbdc0c23ca4dbc0d5b3146"},
-    {file = "coverage-7.5.1-cp310-cp310-win32.whl", hash = "sha256:b016ea6b959d3b9556cb401c55a37547135a587db0115635a443b2ce8f1c7228"},
-    {file = "coverage-7.5.1-cp310-cp310-win_amd64.whl", hash = "sha256:df4e745a81c110e7446b1cc8131bf986157770fa405fe90e15e850aaf7619bc8"},
-    {file = "coverage-7.5.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:796a79f63eca8814ca3317a1ea443645c9ff0d18b188de470ed7ccd45ae79428"},
-    {file = "coverage-7.5.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:4fc84a37bfd98db31beae3c2748811a3fa72bf2007ff7902f68746d9757f3746"},
-    {file = "coverage-7.5.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6175d1a0559986c6ee3f7fccfc4a90ecd12ba0a383dcc2da30c2b9918d67d8a3"},
-    {file = "coverage-7.5.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1fc81d5878cd6274ce971e0a3a18a8803c3fe25457165314271cf78e3aae3aa2"},
-    {file = "coverage-7.5.1-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:556cf1a7cbc8028cb60e1ff0be806be2eded2daf8129b8811c63e2b9a6c43bca"},
-    {file = "coverage-7.5.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:9981706d300c18d8b220995ad22627647be11a4276721c10911e0e9fa44c83e8"},
-    {file = "coverage-7.5.1-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:d7fed867ee50edf1a0b4a11e8e5d0895150e572af1cd6d315d557758bfa9c057"},
-    {file = "coverage-7.5.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:ef48e2707fb320c8f139424a596f5b69955a85b178f15af261bab871873bb987"},
-    {file = "coverage-7.5.1-cp311-cp311-win32.whl", hash = "sha256:9314d5678dcc665330df5b69c1e726a0e49b27df0461c08ca12674bcc19ef136"},
-    {file = "coverage-7.5.1-cp311-cp311-win_amd64.whl", hash = "sha256:5fa567e99765fe98f4e7d7394ce623e794d7cabb170f2ca2ac5a4174437e90dd"},
-    {file = "coverage-7.5.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:b6cf3764c030e5338e7f61f95bd21147963cf6aa16e09d2f74f1fa52013c1206"},
-    {file = "coverage-7.5.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:2ec92012fefebee89a6b9c79bc39051a6cb3891d562b9270ab10ecfdadbc0c34"},
-    {file = "coverage-7.5.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:16db7f26000a07efcf6aea00316f6ac57e7d9a96501e990a36f40c965ec7a95d"},
-    {file = "coverage-7.5.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:beccf7b8a10b09c4ae543582c1319c6df47d78fd732f854ac68d518ee1fb97fa"},
-    {file = "coverage-7.5.1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8748731ad392d736cc9ccac03c9845b13bb07d020a33423fa5b3a36521ac6e4e"},
-    {file = "coverage-7.5.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:7352b9161b33fd0b643ccd1f21f3a3908daaddf414f1c6cb9d3a2fd618bf2572"},
-    {file = "coverage-7.5.1-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:7a588d39e0925f6a2bff87154752481273cdb1736270642aeb3635cb9b4cad07"},
-    {file = "coverage-7.5.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:68f962d9b72ce69ea8621f57551b2fa9c70509af757ee3b8105d4f51b92b41a7"},
-    {file = "coverage-7.5.1-cp312-cp312-win32.whl", hash = "sha256:f152cbf5b88aaeb836127d920dd0f5e7edff5a66f10c079157306c4343d86c19"},
-    {file = "coverage-7.5.1-cp312-cp312-win_amd64.whl", hash = "sha256:5a5740d1fb60ddf268a3811bcd353de34eb56dc24e8f52a7f05ee513b2d4f596"},
-    {file = "coverage-7.5.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:e2213def81a50519d7cc56ed643c9e93e0247f5bbe0d1247d15fa520814a7cd7"},
-    {file = "coverage-7.5.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:5037f8fcc2a95b1f0e80585bd9d1ec31068a9bcb157d9750a172836e98bc7a90"},
-    {file = "coverage-7.5.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5c3721c2c9e4c4953a41a26c14f4cef64330392a6d2d675c8b1db3b645e31f0e"},
-    {file = "coverage-7.5.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ca498687ca46a62ae590253fba634a1fe9836bc56f626852fb2720f334c9e4e5"},
-    {file = "coverage-7.5.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0cdcbc320b14c3e5877ee79e649677cb7d89ef588852e9583e6b24c2e5072661"},
-    {file = "coverage-7.5.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:57e0204b5b745594e5bc14b9b50006da722827f0b8c776949f1135677e88d0b8"},
-    {file = "coverage-7.5.1-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:8fe7502616b67b234482c3ce276ff26f39ffe88adca2acf0261df4b8454668b4"},
-    {file = "coverage-7.5.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:9e78295f4144f9dacfed4f92935fbe1780021247c2fabf73a819b17f0ccfff8d"},
-    {file = "coverage-7.5.1-cp38-cp38-win32.whl", hash = "sha256:1434e088b41594baa71188a17533083eabf5609e8e72f16ce8c186001e6b8c41"},
-    {file = "coverage-7.5.1-cp38-cp38-win_amd64.whl", hash = "sha256:0646599e9b139988b63704d704af8e8df7fa4cbc4a1f33df69d97f36cb0a38de"},
-    {file = "coverage-7.5.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:4cc37def103a2725bc672f84bd939a6fe4522310503207aae4d56351644682f1"},
-    {file = "coverage-7.5.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:fc0b4d8bfeabd25ea75e94632f5b6e047eef8adaed0c2161ada1e922e7f7cece"},
-    {file = "coverage-7.5.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0d0a0f5e06881ecedfe6f3dd2f56dcb057b6dbeb3327fd32d4b12854df36bf26"},
-    {file = "coverage-7.5.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9735317685ba6ec7e3754798c8871c2f49aa5e687cc794a0b1d284b2389d1bd5"},
-    {file = "coverage-7.5.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d21918e9ef11edf36764b93101e2ae8cc82aa5efdc7c5a4e9c6c35a48496d601"},
-    {file = "coverage-7.5.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:c3e757949f268364b96ca894b4c342b41dc6f8f8b66c37878aacef5930db61be"},
-    {file = "coverage-7.5.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:79afb6197e2f7f60c4824dd4b2d4c2ec5801ceb6ba9ce5d2c3080e5660d51a4f"},
-    {file = "coverage-7.5.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:d1d0d98d95dd18fe29dc66808e1accf59f037d5716f86a501fc0256455219668"},
-    {file = "coverage-7.5.1-cp39-cp39-win32.whl", hash = "sha256:1cc0fe9b0b3a8364093c53b0b4c0c2dd4bb23acbec4c9240b5f284095ccf7981"},
-    {file = "coverage-7.5.1-cp39-cp39-win_amd64.whl", hash = "sha256:dde0070c40ea8bb3641e811c1cfbf18e265d024deff6de52c5950677a8fb1e0f"},
-    {file = "coverage-7.5.1-pp38.pp39.pp310-none-any.whl", hash = "sha256:6537e7c10cc47c595828b8a8be04c72144725c383c4702703ff4e42e44577312"},
-    {file = "coverage-7.5.1.tar.gz", hash = "sha256:54de9ef3a9da981f7af93eafde4ede199e0846cd819eb27c88e2b712aae9708c"},
+    {file = "coverage-7.5.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:6cfb5a4f556bb51aba274588200a46e4dd6b505fb1a5f8c5ae408222eb416f99"},
+    {file = "coverage-7.5.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2174e7c23e0a454ffe12267a10732c273243b4f2d50d07544a91198f05c48f47"},
+    {file = "coverage-7.5.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2214ee920787d85db1b6a0bd9da5f8503ccc8fcd5814d90796c2f2493a2f4d2e"},
+    {file = "coverage-7.5.4-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1137f46adb28e3813dec8c01fefadcb8c614f33576f672962e323b5128d9a68d"},
+    {file = "coverage-7.5.4-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b385d49609f8e9efc885790a5a0e89f2e3ae042cdf12958b6034cc442de428d3"},
+    {file = "coverage-7.5.4-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:b4a474f799456e0eb46d78ab07303286a84a3140e9700b9e154cfebc8f527016"},
+    {file = "coverage-7.5.4-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:5cd64adedf3be66f8ccee418473c2916492d53cbafbfcff851cbec5a8454b136"},
+    {file = "coverage-7.5.4-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:e564c2cf45d2f44a9da56f4e3a26b2236504a496eb4cb0ca7221cd4cc7a9aca9"},
+    {file = "coverage-7.5.4-cp310-cp310-win32.whl", hash = "sha256:7076b4b3a5f6d2b5d7f1185fde25b1e54eb66e647a1dfef0e2c2bfaf9b4c88c8"},
+    {file = "coverage-7.5.4-cp310-cp310-win_amd64.whl", hash = "sha256:018a12985185038a5b2bcafab04ab833a9a0f2c59995b3cec07e10074c78635f"},
+    {file = "coverage-7.5.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:db14f552ac38f10758ad14dd7b983dbab424e731588d300c7db25b6f89e335b5"},
+    {file = "coverage-7.5.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:3257fdd8e574805f27bb5342b77bc65578e98cbc004a92232106344053f319ba"},
+    {file = "coverage-7.5.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3a6612c99081d8d6134005b1354191e103ec9705d7ba2754e848211ac8cacc6b"},
+    {file = "coverage-7.5.4-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d45d3cbd94159c468b9b8c5a556e3f6b81a8d1af2a92b77320e887c3e7a5d080"},
+    {file = "coverage-7.5.4-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ed550e7442f278af76d9d65af48069f1fb84c9f745ae249c1a183c1e9d1b025c"},
+    {file = "coverage-7.5.4-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:7a892be37ca35eb5019ec85402c3371b0f7cda5ab5056023a7f13da0961e60da"},
+    {file = "coverage-7.5.4-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:8192794d120167e2a64721d88dbd688584675e86e15d0569599257566dec9bf0"},
+    {file = "coverage-7.5.4-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:820bc841faa502e727a48311948e0461132a9c8baa42f6b2b84a29ced24cc078"},
+    {file = "coverage-7.5.4-cp311-cp311-win32.whl", hash = "sha256:6aae5cce399a0f065da65c7bb1e8abd5c7a3043da9dceb429ebe1b289bc07806"},
+    {file = "coverage-7.5.4-cp311-cp311-win_amd64.whl", hash = "sha256:d2e344d6adc8ef81c5a233d3a57b3c7d5181f40e79e05e1c143da143ccb6377d"},
+    {file = "coverage-7.5.4-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:54317c2b806354cbb2dc7ac27e2b93f97096912cc16b18289c5d4e44fc663233"},
+    {file = "coverage-7.5.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:042183de01f8b6d531e10c197f7f0315a61e8d805ab29c5f7b51a01d62782747"},
+    {file = "coverage-7.5.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a6bb74ed465d5fb204b2ec41d79bcd28afccf817de721e8a807d5141c3426638"},
+    {file = "coverage-7.5.4-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b3d45ff86efb129c599a3b287ae2e44c1e281ae0f9a9bad0edc202179bcc3a2e"},
+    {file = "coverage-7.5.4-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5013ed890dc917cef2c9f765c4c6a8ae9df983cd60dbb635df8ed9f4ebc9f555"},
+    {file = "coverage-7.5.4-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:1014fbf665fef86cdfd6cb5b7371496ce35e4d2a00cda501cf9f5b9e6fced69f"},
+    {file = "coverage-7.5.4-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:3684bc2ff328f935981847082ba4fdc950d58906a40eafa93510d1b54c08a66c"},
+    {file = "coverage-7.5.4-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:581ea96f92bf71a5ec0974001f900db495488434a6928a2ca7f01eee20c23805"},
+    {file = "coverage-7.5.4-cp312-cp312-win32.whl", hash = "sha256:73ca8fbc5bc622e54627314c1a6f1dfdd8db69788f3443e752c215f29fa87a0b"},
+    {file = "coverage-7.5.4-cp312-cp312-win_amd64.whl", hash = "sha256:cef4649ec906ea7ea5e9e796e68b987f83fa9a718514fe147f538cfeda76d7a7"},
+    {file = "coverage-7.5.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:cdd31315fc20868c194130de9ee6bfd99755cc9565edff98ecc12585b90be882"},
+    {file = "coverage-7.5.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:02ff6e898197cc1e9fa375581382b72498eb2e6d5fc0b53f03e496cfee3fac6d"},
+    {file = "coverage-7.5.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d05c16cf4b4c2fc880cb12ba4c9b526e9e5d5bb1d81313d4d732a5b9fe2b9d53"},
+    {file = "coverage-7.5.4-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c5986ee7ea0795a4095ac4d113cbb3448601efca7f158ec7f7087a6c705304e4"},
+    {file = "coverage-7.5.4-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5df54843b88901fdc2f598ac06737f03d71168fd1175728054c8f5a2739ac3e4"},
+    {file = "coverage-7.5.4-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:ab73b35e8d109bffbda9a3e91c64e29fe26e03e49addf5b43d85fc426dde11f9"},
+    {file = "coverage-7.5.4-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:aea072a941b033813f5e4814541fc265a5c12ed9720daef11ca516aeacd3bd7f"},
+    {file = "coverage-7.5.4-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:16852febd96acd953b0d55fc842ce2dac1710f26729b31c80b940b9afcd9896f"},
+    {file = "coverage-7.5.4-cp38-cp38-win32.whl", hash = "sha256:8f894208794b164e6bd4bba61fc98bf6b06be4d390cf2daacfa6eca0a6d2bb4f"},
+    {file = "coverage-7.5.4-cp38-cp38-win_amd64.whl", hash = "sha256:e2afe743289273209c992075a5a4913e8d007d569a406ffed0bd080ea02b0633"},
+    {file = "coverage-7.5.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:b95c3a8cb0463ba9f77383d0fa8c9194cf91f64445a63fc26fb2327e1e1eb088"},
+    {file = "coverage-7.5.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:3d7564cc09dd91b5a6001754a5b3c6ecc4aba6323baf33a12bd751036c998be4"},
+    {file = "coverage-7.5.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:44da56a2589b684813f86d07597fdf8a9c6ce77f58976727329272f5a01f99f7"},
+    {file = "coverage-7.5.4-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e16f3d6b491c48c5ae726308e6ab1e18ee830b4cdd6913f2d7f77354b33f91c8"},
+    {file = "coverage-7.5.4-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dbc5958cb471e5a5af41b0ddaea96a37e74ed289535e8deca404811f6cb0bc3d"},
+    {file = "coverage-7.5.4-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:a04e990a2a41740b02d6182b498ee9796cf60eefe40cf859b016650147908029"},
+    {file = "coverage-7.5.4-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:ddbd2f9713a79e8e7242d7c51f1929611e991d855f414ca9996c20e44a895f7c"},
+    {file = "coverage-7.5.4-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:b1ccf5e728ccf83acd313c89f07c22d70d6c375a9c6f339233dcf792094bcbf7"},
+    {file = "coverage-7.5.4-cp39-cp39-win32.whl", hash = "sha256:56b4eafa21c6c175b3ede004ca12c653a88b6f922494b023aeb1e836df953ace"},
+    {file = "coverage-7.5.4-cp39-cp39-win_amd64.whl", hash = "sha256:65e528e2e921ba8fd67d9055e6b9f9e34b21ebd6768ae1c1723f4ea6ace1234d"},
+    {file = "coverage-7.5.4-pp38.pp39.pp310-none-any.whl", hash = "sha256:79b356f3dd5b26f3ad23b35c75dbdaf1f9e2450b6bcefc6d0825ea0aa3f86ca5"},
+    {file = "coverage-7.5.4.tar.gz", hash = "sha256:a44963520b069e12789d0faea4e9fdb1e410cdc4aab89d94f7f55cbb7fef0353"},
 ]
 
 [package.dependencies]
@@ -1126,43 +1368,43 @@ toml = ["tomli"]
 
 [[package]]
 name = "cryptography"
-version = "42.0.7"
+version = "42.0.8"
 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "cryptography-42.0.7-cp37-abi3-macosx_10_12_universal2.whl", hash = "sha256:a987f840718078212fdf4504d0fd4c6effe34a7e4740378e59d47696e8dfb477"},
-    {file = "cryptography-42.0.7-cp37-abi3-macosx_10_12_x86_64.whl", hash = "sha256:bd13b5e9b543532453de08bcdc3cc7cebec6f9883e886fd20a92f26940fd3e7a"},
-    {file = "cryptography-42.0.7-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a79165431551042cc9d1d90e6145d5d0d3ab0f2d66326c201d9b0e7f5bf43604"},
-    {file = "cryptography-42.0.7-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a47787a5e3649008a1102d3df55424e86606c9bae6fb77ac59afe06d234605f8"},
-    {file = "cryptography-42.0.7-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:02c0eee2d7133bdbbc5e24441258d5d2244beb31da5ed19fbb80315f4bbbff55"},
-    {file = "cryptography-42.0.7-cp37-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:5e44507bf8d14b36b8389b226665d597bc0f18ea035d75b4e53c7b1ea84583cc"},
-    {file = "cryptography-42.0.7-cp37-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:7f8b25fa616d8b846aef64b15c606bb0828dbc35faf90566eb139aa9cff67af2"},
-    {file = "cryptography-42.0.7-cp37-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:93a3209f6bb2b33e725ed08ee0991b92976dfdcf4e8b38646540674fc7508e13"},
-    {file = "cryptography-42.0.7-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:e6b8f1881dac458c34778d0a424ae5769de30544fc678eac51c1c8bb2183e9da"},
-    {file = "cryptography-42.0.7-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:3de9a45d3b2b7d8088c3fbf1ed4395dfeff79d07842217b38df14ef09ce1d8d7"},
-    {file = "cryptography-42.0.7-cp37-abi3-win32.whl", hash = "sha256:789caea816c6704f63f6241a519bfa347f72fbd67ba28d04636b7c6b7da94b0b"},
-    {file = "cryptography-42.0.7-cp37-abi3-win_amd64.whl", hash = "sha256:8cb8ce7c3347fcf9446f201dc30e2d5a3c898d009126010cbd1f443f28b52678"},
-    {file = "cryptography-42.0.7-cp39-abi3-macosx_10_12_universal2.whl", hash = "sha256:a3a5ac8b56fe37f3125e5b72b61dcde43283e5370827f5233893d461b7360cd4"},
-    {file = "cryptography-42.0.7-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:779245e13b9a6638df14641d029add5dc17edbef6ec915688f3acb9e720a5858"},
-    {file = "cryptography-42.0.7-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0d563795db98b4cd57742a78a288cdbdc9daedac29f2239793071fe114f13785"},
-    {file = "cryptography-42.0.7-cp39-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:31adb7d06fe4383226c3e963471f6837742889b3c4caa55aac20ad951bc8ffda"},
-    {file = "cryptography-42.0.7-cp39-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:efd0bf5205240182e0f13bcaea41be4fdf5c22c5129fc7ced4a0282ac86998c9"},
-    {file = "cryptography-42.0.7-cp39-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:a9bc127cdc4ecf87a5ea22a2556cab6c7eda2923f84e4f3cc588e8470ce4e42e"},
-    {file = "cryptography-42.0.7-cp39-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:3577d029bc3f4827dd5bf8bf7710cac13527b470bbf1820a3f394adb38ed7d5f"},
-    {file = "cryptography-42.0.7-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:2e47577f9b18723fa294b0ea9a17d5e53a227867a0a4904a1a076d1646d45ca1"},
-    {file = "cryptography-42.0.7-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:1a58839984d9cb34c855197043eaae2c187d930ca6d644612843b4fe8513c886"},
-    {file = "cryptography-42.0.7-cp39-abi3-win32.whl", hash = "sha256:e6b79d0adb01aae87e8a44c2b64bc3f3fe59515280e00fb6d57a7267a2583cda"},
-    {file = "cryptography-42.0.7-cp39-abi3-win_amd64.whl", hash = "sha256:16268d46086bb8ad5bf0a2b5544d8a9ed87a0e33f5e77dd3c3301e63d941a83b"},
-    {file = "cryptography-42.0.7-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:2954fccea107026512b15afb4aa664a5640cd0af630e2ee3962f2602693f0c82"},
-    {file = "cryptography-42.0.7-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:362e7197754c231797ec45ee081f3088a27a47c6c01eff2ac83f60f85a50fe60"},
-    {file = "cryptography-42.0.7-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:4f698edacf9c9e0371112792558d2f705b5645076cc0aaae02f816a0171770fd"},
-    {file = "cryptography-42.0.7-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:5482e789294854c28237bba77c4c83be698be740e31a3ae5e879ee5444166582"},
-    {file = "cryptography-42.0.7-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:e9b2a6309f14c0497f348d08a065d52f3020656f675819fc405fb63bbcd26562"},
-    {file = "cryptography-42.0.7-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:d8e3098721b84392ee45af2dd554c947c32cc52f862b6a3ae982dbb90f577f14"},
-    {file = "cryptography-42.0.7-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:c65f96dad14f8528a447414125e1fc8feb2ad5a272b8f68477abbcc1ea7d94b9"},
-    {file = "cryptography-42.0.7-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:36017400817987670037fbb0324d71489b6ead6231c9604f8fc1f7d008087c68"},
-    {file = "cryptography-42.0.7.tar.gz", hash = "sha256:ecbfbc00bf55888edda9868a4cf927205de8499e7fabe6c050322298382953f2"},
+    {file = "cryptography-42.0.8-cp37-abi3-macosx_10_12_universal2.whl", hash = "sha256:81d8a521705787afe7a18d5bfb47ea9d9cc068206270aad0b96a725022e18d2e"},
+    {file = "cryptography-42.0.8-cp37-abi3-macosx_10_12_x86_64.whl", hash = "sha256:961e61cefdcb06e0c6d7e3a1b22ebe8b996eb2bf50614e89384be54c48c6b63d"},
+    {file = "cryptography-42.0.8-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e3ec3672626e1b9e55afd0df6d774ff0e953452886e06e0f1eb7eb0c832e8902"},
+    {file = "cryptography-42.0.8-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e599b53fd95357d92304510fb7bda8523ed1f79ca98dce2f43c115950aa78801"},
+    {file = "cryptography-42.0.8-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:5226d5d21ab681f432a9c1cf8b658c0cb02533eece706b155e5fbd8a0cdd3949"},
+    {file = "cryptography-42.0.8-cp37-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:6b7c4f03ce01afd3b76cf69a5455caa9cfa3de8c8f493e0d3ab7d20611c8dae9"},
+    {file = "cryptography-42.0.8-cp37-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:2346b911eb349ab547076f47f2e035fc8ff2c02380a7cbbf8d87114fa0f1c583"},
+    {file = "cryptography-42.0.8-cp37-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:ad803773e9df0b92e0a817d22fd8a3675493f690b96130a5e24f1b8fabbea9c7"},
+    {file = "cryptography-42.0.8-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:2f66d9cd9147ee495a8374a45ca445819f8929a3efcd2e3df6428e46c3cbb10b"},
+    {file = "cryptography-42.0.8-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:d45b940883a03e19e944456a558b67a41160e367a719833c53de6911cabba2b7"},
+    {file = "cryptography-42.0.8-cp37-abi3-win32.whl", hash = "sha256:a0c5b2b0585b6af82d7e385f55a8bc568abff8923af147ee3c07bd8b42cda8b2"},
+    {file = "cryptography-42.0.8-cp37-abi3-win_amd64.whl", hash = "sha256:57080dee41209e556a9a4ce60d229244f7a66ef52750f813bfbe18959770cfba"},
+    {file = "cryptography-42.0.8-cp39-abi3-macosx_10_12_universal2.whl", hash = "sha256:dea567d1b0e8bc5764b9443858b673b734100c2871dc93163f58c46a97a83d28"},
+    {file = "cryptography-42.0.8-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c4783183f7cb757b73b2ae9aed6599b96338eb957233c58ca8f49a49cc32fd5e"},
+    {file = "cryptography-42.0.8-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a0608251135d0e03111152e41f0cc2392d1e74e35703960d4190b2e0f4ca9c70"},
+    {file = "cryptography-42.0.8-cp39-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:dc0fdf6787f37b1c6b08e6dfc892d9d068b5bdb671198c72072828b80bd5fe4c"},
+    {file = "cryptography-42.0.8-cp39-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:9c0c1716c8447ee7dbf08d6db2e5c41c688544c61074b54fc4564196f55c25a7"},
+    {file = "cryptography-42.0.8-cp39-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:fff12c88a672ab9c9c1cf7b0c80e3ad9e2ebd9d828d955c126be4fd3e5578c9e"},
+    {file = "cryptography-42.0.8-cp39-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:cafb92b2bc622cd1aa6a1dce4b93307792633f4c5fe1f46c6b97cf67073ec961"},
+    {file = "cryptography-42.0.8-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:31f721658a29331f895a5a54e7e82075554ccfb8b163a18719d342f5ffe5ecb1"},
+    {file = "cryptography-42.0.8-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:b297f90c5723d04bcc8265fc2a0f86d4ea2e0f7ab4b6994459548d3a6b992a14"},
+    {file = "cryptography-42.0.8-cp39-abi3-win32.whl", hash = "sha256:2f88d197e66c65be5e42cd72e5c18afbfae3f741742070e3019ac8f4ac57262c"},
+    {file = "cryptography-42.0.8-cp39-abi3-win_amd64.whl", hash = "sha256:fa76fbb7596cc5839320000cdd5d0955313696d9511debab7ee7278fc8b5c84a"},
+    {file = "cryptography-42.0.8-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:ba4f0a211697362e89ad822e667d8d340b4d8d55fae72cdd619389fb5912eefe"},
+    {file = "cryptography-42.0.8-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:81884c4d096c272f00aeb1f11cf62ccd39763581645b0812e99a91505fa48e0c"},
+    {file = "cryptography-42.0.8-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:c9bb2ae11bfbab395bdd072985abde58ea9860ed84e59dbc0463a5d0159f5b71"},
+    {file = "cryptography-42.0.8-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:7016f837e15b0a1c119d27ecd89b3515f01f90a8615ed5e9427e30d9cdbfed3d"},
+    {file = "cryptography-42.0.8-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:5a94eccb2a81a309806027e1670a358b99b8fe8bfe9f8d329f27d72c094dde8c"},
+    {file = "cryptography-42.0.8-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:dec9b018df185f08483f294cae6ccac29e7a6e0678996587363dc352dc65c842"},
+    {file = "cryptography-42.0.8-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:343728aac38decfdeecf55ecab3264b015be68fc2816ca800db649607aeee648"},
+    {file = "cryptography-42.0.8-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:013629ae70b40af70c9a7a5db40abe5d9054e6f4380e50ce769947b73bf3caad"},
+    {file = "cryptography-42.0.8.tar.gz", hash = "sha256:8d09d05439ce7baa8e9e95b07ec5b6c886f548deb7e0f69ef25f64b3bce842f2"},
 ]
 
 [package.dependencies]
@@ -1200,19 +1442,63 @@ tests = ["pytest"]
 
 [[package]]
 name = "dataclasses-json"
-version = "0.6.5"
+version = "0.6.7"
 description = "Easily serialize dataclasses to and from JSON."
 optional = false
 python-versions = "<4.0,>=3.7"
 files = [
-    {file = "dataclasses_json-0.6.5-py3-none-any.whl", hash = "sha256:f49c77aa3a85cac5bf5b7f65f4790ca0d2be8ef4d92c75e91ba0103072788a39"},
-    {file = "dataclasses_json-0.6.5.tar.gz", hash = "sha256:1c287594d9fcea72dc42d6d3836cf14848c2dc5ce88f65ed61b36b57f515fe26"},
+    {file = "dataclasses_json-0.6.7-py3-none-any.whl", hash = "sha256:0dbf33f26c8d5305befd61b39d2b3414e8a407bedc2834dea9b8d642666fb40a"},
+    {file = "dataclasses_json-0.6.7.tar.gz", hash = "sha256:b6b3e528266ea45b9535223bc53ca645f5208833c29229e847b3f26a1cc55fc0"},
 ]
 
 [package.dependencies]
 marshmallow = ">=3.18.0,<4.0.0"
 typing-inspect = ">=0.4.0,<1"
 
+[[package]]
+name = "datasets"
+version = "2.18.0"
+description = "HuggingFace community-driven open-source library of datasets"
+optional = false
+python-versions = ">=3.8.0"
+files = [
+    {file = "datasets-2.18.0-py3-none-any.whl", hash = "sha256:f1bbf0e2896917a914de01cbd37075b14deea3837af87ad0d9f697388ccaeb50"},
+    {file = "datasets-2.18.0.tar.gz", hash = "sha256:cdf8b8c6abf7316377ba4f49f9589a4c74556d6b481afd0abd2284f3d69185cb"},
+]
+
+[package.dependencies]
+aiohttp = "*"
+dill = ">=0.3.0,<0.3.9"
+filelock = "*"
+fsspec = {version = ">=2023.1.0,<=2024.2.0", extras = ["http"]}
+huggingface-hub = ">=0.19.4"
+multiprocess = "*"
+numpy = ">=1.17"
+packaging = "*"
+pandas = "*"
+pyarrow = ">=12.0.0"
+pyarrow-hotfix = "*"
+pyyaml = ">=5.1"
+requests = ">=2.19.0"
+tqdm = ">=4.62.1"
+xxhash = "*"
+
+[package.extras]
+apache-beam = ["apache-beam (>=2.26.0)"]
+audio = ["librosa", "soundfile (>=0.12.1)"]
+benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"]
+dev = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "torch (>=2.0.0)", "transformers", "typing-extensions (>=4.6.1)", "zstandard"]
+docs = ["s3fs", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow-macos", "torch", "transformers"]
+jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"]
+metrics-tests = ["Werkzeug (>=1.0.1)", "accelerate", "bert-score (>=0.3.6)", "jiwer", "langdetect", "mauve-text", "nltk", "requests-file (>=1.5.1)", "rouge-score", "sacrebleu", "sacremoses", "scikit-learn", "scipy", "sentencepiece", "seqeval", "six (>=1.15.0,<1.16.0)", "spacy (>=3.0.0)", "texttable (>=1.6.3)", "tldextract", "tldextract (>=3.1.0)", "toml (>=0.10.1)", "typer (<0.5.0)"]
+quality = ["ruff (>=0.3.0)"]
+s3 = ["s3fs"]
+tensorflow = ["tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow-macos"]
+tensorflow-gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"]
+tests = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch (>=2.0.0)", "transformers", "typing-extensions (>=4.6.1)", "zstandard"]
+torch = ["torch"]
+vision = ["Pillow (>=6.2.1)"]
+
 [[package]]
 name = "debugpy"
 version = "1.8.1"
@@ -1315,6 +1601,23 @@ files = [
 [package.dependencies]
 packaging = "*"
 
+[[package]]
+name = "dictdiffer"
+version = "0.9.0"
+description = "Dictdiffer is a library that helps you to diff and patch dictionaries."
+optional = false
+python-versions = "*"
+files = [
+    {file = "dictdiffer-0.9.0-py2.py3-none-any.whl", hash = "sha256:442bfc693cfcadaf46674575d2eba1c53b42f5e404218ca2c2ff549f2df56595"},
+    {file = "dictdiffer-0.9.0.tar.gz", hash = "sha256:17bacf5fbfe613ccf1b6d512bd766e6b21fb798822a133aa86098b8ac9997578"},
+]
+
+[package.extras]
+all = ["Sphinx (>=3)", "check-manifest (>=0.42)", "mock (>=1.3.0)", "numpy (>=1.13.0)", "numpy (>=1.15.0)", "numpy (>=1.18.0)", "numpy (>=1.20.0)", "pytest (==5.4.3)", "pytest (>=6)", "pytest-cov (>=2.10.1)", "pytest-isort (>=1.2.0)", "pytest-pycodestyle (>=2)", "pytest-pycodestyle (>=2.2.0)", "pytest-pydocstyle (>=2)", "pytest-pydocstyle (>=2.2.0)", "sphinx (>=3)", "sphinx-rtd-theme (>=0.2)", "tox (>=3.7.0)"]
+docs = ["Sphinx (>=3)", "sphinx-rtd-theme (>=0.2)"]
+numpy = ["numpy (>=1.13.0)", "numpy (>=1.15.0)", "numpy (>=1.18.0)", "numpy (>=1.20.0)"]
+tests = ["check-manifest (>=0.42)", "mock (>=1.3.0)", "pytest (==5.4.3)", "pytest (>=6)", "pytest-cov (>=2.10.1)", "pytest-isort (>=1.2.0)", "pytest-pycodestyle (>=2)", "pytest-pycodestyle (>=2.2.0)", "pytest-pydocstyle (>=2)", "pytest-pydocstyle (>=2.2.0)", "sphinx (>=3)", "tox (>=3.7.0)"]
+
 [[package]]
 name = "dill"
 version = "0.3.8"
@@ -1330,17 +1633,6 @@ files = [
 graph = ["objgraph (>=1.7.2)"]
 profile = ["gprof2dot (>=2022.7.29)"]
 
-[[package]]
-name = "dirtyjson"
-version = "1.0.8"
-description = "JSON decoder for Python that can extract data from the muck"
-optional = false
-python-versions = "*"
-files = [
-    {file = "dirtyjson-1.0.8-py3-none-any.whl", hash = "sha256:125e27248435a58acace26d5c2c4c11a1c0de0a9c5124c5a94ba78e517d74f53"},
-    {file = "dirtyjson-1.0.8.tar.gz", hash = "sha256:90ca4a18f3ff30ce849d100dcf4a003953c79d3a2348ef056f1d9c22231a25fd"},
-]
-
 [[package]]
 name = "diskcache"
 version = "5.6.3"
@@ -1352,6 +1644,17 @@ files = [
     {file = "diskcache-5.6.3.tar.gz", hash = "sha256:2c3a3fa2743d8535d832ec61c2054a1641f41775aa7c556758a109941e33e4fc"},
 ]
 
+[[package]]
+name = "distlib"
+version = "0.3.8"
+description = "Distribution utilities"
+optional = false
+python-versions = "*"
+files = [
+    {file = "distlib-0.3.8-py2.py3-none-any.whl", hash = "sha256:034db59a0b96f8ca18035f36290806a9a6e6bd9d1ff91e45a7f172eb17e51784"},
+    {file = "distlib-0.3.8.tar.gz", hash = "sha256:1530ea13e350031b6312d8580ddb6b27a104275a31106523b8f123787f494f64"},
+]
+
 [[package]]
 name = "distro"
 version = "1.9.0"
@@ -1385,22 +1688,23 @@ wmi = ["wmi (>=1.5.1)"]
 
 [[package]]
 name = "docker"
-version = "7.0.0"
+version = "7.1.0"
 description = "A Python library for the Docker Engine API."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "docker-7.0.0-py3-none-any.whl", hash = "sha256:12ba681f2777a0ad28ffbcc846a69c31b4dfd9752b47eb425a274ee269c5e14b"},
-    {file = "docker-7.0.0.tar.gz", hash = "sha256:323736fb92cd9418fc5e7133bc953e11a9da04f4483f828b527db553f1e7e5a3"},
+    {file = "docker-7.1.0-py3-none-any.whl", hash = "sha256:c96b93b7f0a746f9e77d325bcfb87422a3d8bd4f03136ae8a85b37f1898d5fc0"},
+    {file = "docker-7.1.0.tar.gz", hash = "sha256:ad8c70e6e3f8926cb8a92619b832b4ea5299e2831c14284663184e200546fa6c"},
 ]
 
 [package.dependencies]
-packaging = ">=14.0"
 pywin32 = {version = ">=304", markers = "sys_platform == \"win32\""}
 requests = ">=2.26.0"
 urllib3 = ">=1.26.0"
 
 [package.extras]
+dev = ["coverage (==7.2.7)", "pytest (==7.4.2)", "pytest-cov (==4.1.0)", "pytest-timeout (==2.1.0)", "ruff (==0.1.8)"]
+docs = ["myst-parser (==0.18.0)", "sphinx (==5.1.1)"]
 ssh = ["paramiko (>=2.4.3)"]
 websockets = ["websocket-client (>=1.3.0)"]
 
@@ -1416,24 +1720,104 @@ files = [
 ]
 
 [[package]]
-name = "easygui"
-version = "0.98.3"
-description = "EasyGUI is a module for very simple, very easy GUI programming in Python.  EasyGUI is different from other GUI generators in that EasyGUI is NOT event-driven.  Instead, all GUI interactions are invoked by simple function calls."
+name = "dspy-ai"
+version = "2.4.10"
+description = "DSPy"
 optional = false
-python-versions = "*"
+python-versions = ">=3.9"
 files = [
-    {file = "easygui-0.98.3-py2.py3-none-any.whl", hash = "sha256:33498710c68b5376b459cd3fc48d1d1f33822139eb3ed01defbc0528326da3ba"},
-    {file = "easygui-0.98.3.tar.gz", hash = "sha256:d653ff79ee1f42f63b5a090f2f98ce02335d86ad8963b3ce2661805cafe99a04"},
+    {file = "dspy-ai-2.4.10.tar.gz", hash = "sha256:94019f1d0f0cda22af1d9d7172297fc8002a859a0f0aa51bebc811f4dd1f0f14"},
+    {file = "dspy_ai-2.4.10-py3-none-any.whl", hash = "sha256:c0b604aa18b2ea8313c5ffa2ed91a5498f8d1635e2341153d0e80cb70039df00"},
 ]
 
-[[package]]
-name = "ebcdic"
-version = "1.1.1"
-description = "Additional EBCDIC codecs"
+[package.dependencies]
+backoff = ">=2.2.1,<2.3.0"
+datasets = ">=2.14.6,<3.0.0"
+jinja2 = "*"
+joblib = ">=1.3.2,<1.4.0"
+openai = ">=0.28.1,<2.0.0"
+optuna = "*"
+pandas = "*"
+pydantic = ">=2.0,<3.0"
+regex = "*"
+requests = "*"
+structlog = "*"
+tqdm = "*"
+ujson = "*"
+
+[package.extras]
+anthropic = ["anthropic (>=0.18.0,<0.19.0)"]
+aws = ["boto3 (>=1.34.78,<1.35.0)"]
+chromadb = ["chromadb (>=0.4.14,<0.5.0)"]
+dev = ["pytest (>=6.2.5)"]
+docs = ["autodoc-pydantic", "docutils (<0.17)", "furo (>=2023.3.27)", "m2r2", "myst-nb", "myst-parser", "sphinx (>=4.3.0)", "sphinx-autobuild", "sphinx-automodapi (==0.16.0)", "sphinx-reredirects (>=0.1.2)", "sphinx-rtd-theme"]
+epsilla = ["pyepsilla (>=0.3.7,<0.4.0)"]
+faiss-cpu = ["faiss-cpu", "sentence-transformers"]
+fastembed = ["fastembed", "fastembed (>=0.2.0)"]
+google-vertex-ai = ["google-cloud-aiplatform (==1.43.0)"]
+groq = ["groq (>=0.8.0,<0.9.0)"]
+marqo = ["marqo", "marqo (>=3.1.0,<3.2.0)"]
+milvus = ["pymilvus (>=2.3.7,<2.4.0)"]
+mongodb = ["pymongo (>=3.12.0,<3.13.0)"]
+myscale = ["clickhouse-connect"]
+pinecone = ["pinecone-client (>=2.2.4,<2.3.0)"]
+qdrant = ["fastembed", "fastembed (>=0.2.0)", "qdrant-client", "qdrant-client (>=1.6.2)"]
+snowflake = ["snowflake-snowpark-python"]
+weaviate = ["weaviate-client (>=3.26.1,<3.27.0)", "weaviate-client (>=4.5.4,<4.6.0)"]
+
+[[package]]
+name = "duckdb"
+version = "1.0.0"
+description = "DuckDB in-process database"
 optional = false
-python-versions = "*"
+python-versions = ">=3.7.0"
 files = [
-    {file = "ebcdic-1.1.1-py2.py3-none-any.whl", hash = "sha256:33b4cb729bc2d0bf46cc1847b0e5946897cb8d3f53520c5b9aa5fa98d7e735f1"},
+    {file = "duckdb-1.0.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:4a8ce2d1f9e1c23b9bab3ae4ca7997e9822e21563ff8f646992663f66d050211"},
+    {file = "duckdb-1.0.0-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:19797670f20f430196e48d25d082a264b66150c264c1e8eae8e22c64c2c5f3f5"},
+    {file = "duckdb-1.0.0-cp310-cp310-macosx_12_0_x86_64.whl", hash = "sha256:b71c342090fe117b35d866a91ad6bffce61cd6ff3e0cff4003f93fc1506da0d8"},
+    {file = "duckdb-1.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:25dd69f44ad212c35ae2ea736b0e643ea2b70f204b8dff483af1491b0e2a4cec"},
+    {file = "duckdb-1.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8da5f293ecb4f99daa9a9352c5fd1312a6ab02b464653a0c3a25ab7065c45d4d"},
+    {file = "duckdb-1.0.0-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3207936da9967ddbb60644ec291eb934d5819b08169bc35d08b2dedbe7068c60"},
+    {file = "duckdb-1.0.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:1128d6c9c33e883b1f5df6b57c1eb46b7ab1baf2650912d77ee769aaa05111f9"},
+    {file = "duckdb-1.0.0-cp310-cp310-win_amd64.whl", hash = "sha256:02310d263474d0ac238646677feff47190ffb82544c018b2ff732a4cb462c6ef"},
+    {file = "duckdb-1.0.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:75586791ab2702719c284157b65ecefe12d0cca9041da474391896ddd9aa71a4"},
+    {file = "duckdb-1.0.0-cp311-cp311-macosx_12_0_universal2.whl", hash = "sha256:83bb415fc7994e641344f3489e40430ce083b78963cb1057bf714ac3a58da3ba"},
+    {file = "duckdb-1.0.0-cp311-cp311-macosx_12_0_x86_64.whl", hash = "sha256:bee2e0b415074e84c5a2cefd91f6b5ebeb4283e7196ba4ef65175a7cef298b57"},
+    {file = "duckdb-1.0.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fa5a4110d2a499312609544ad0be61e85a5cdad90e5b6d75ad16b300bf075b90"},
+    {file = "duckdb-1.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5fa389e6a382d4707b5f3d1bc2087895925ebb92b77e9fe3bfb23c9b98372fdc"},
+    {file = "duckdb-1.0.0-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7ede6f5277dd851f1a4586b0c78dc93f6c26da45e12b23ee0e88c76519cbdbe0"},
+    {file = "duckdb-1.0.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:0b88cdbc0d5c3e3d7545a341784dc6cafd90fc035f17b2f04bf1e870c68456e5"},
+    {file = "duckdb-1.0.0-cp311-cp311-win_amd64.whl", hash = "sha256:fd1693cdd15375156f7fff4745debc14e5c54928589f67b87fb8eace9880c370"},
+    {file = "duckdb-1.0.0-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:c65a7fe8a8ce21b985356ee3ec0c3d3b3b2234e288e64b4cfb03356dbe6e5583"},
+    {file = "duckdb-1.0.0-cp312-cp312-macosx_12_0_universal2.whl", hash = "sha256:e5a8eda554379b3a43b07bad00968acc14dd3e518c9fbe8f128b484cf95e3d16"},
+    {file = "duckdb-1.0.0-cp312-cp312-macosx_12_0_x86_64.whl", hash = "sha256:a1b6acdd54c4a7b43bd7cb584975a1b2ff88ea1a31607a2b734b17960e7d3088"},
+    {file = "duckdb-1.0.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a677bb1b6a8e7cab4a19874249d8144296e6e39dae38fce66a80f26d15e670df"},
+    {file = "duckdb-1.0.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:752e9d412b0a2871bf615a2ede54be494c6dc289d076974eefbf3af28129c759"},
+    {file = "duckdb-1.0.0-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3aadb99d098c5e32d00dc09421bc63a47134a6a0de9d7cd6abf21780b678663c"},
+    {file = "duckdb-1.0.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:83b7091d4da3e9301c4f9378833f5ffe934fb1ad2b387b439ee067b2c10c8bb0"},
+    {file = "duckdb-1.0.0-cp312-cp312-win_amd64.whl", hash = "sha256:6a8058d0148b544694cb5ea331db44f6c2a00a7b03776cc4dd1470735c3d5ff7"},
+    {file = "duckdb-1.0.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e40cb20e5ee19d44bc66ec99969af791702a049079dc5f248c33b1c56af055f4"},
+    {file = "duckdb-1.0.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d7bce1bc0de9af9f47328e24e6e7e39da30093179b1c031897c042dd94a59c8e"},
+    {file = "duckdb-1.0.0-cp37-cp37m-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8355507f7a04bc0a3666958f4414a58e06141d603e91c0fa5a7c50e49867fb6d"},
+    {file = "duckdb-1.0.0-cp37-cp37m-musllinux_1_2_x86_64.whl", hash = "sha256:39f1a46f5a45ad2886dc9b02ce5b484f437f90de66c327f86606d9ba4479d475"},
+    {file = "duckdb-1.0.0-cp37-cp37m-win_amd64.whl", hash = "sha256:a6d29ba477b27ae41676b62c8fae8d04ee7cbe458127a44f6049888231ca58fa"},
+    {file = "duckdb-1.0.0-cp38-cp38-macosx_12_0_arm64.whl", hash = "sha256:1bea713c1925918714328da76e79a1f7651b2b503511498ccf5e007a7e67d49e"},
+    {file = "duckdb-1.0.0-cp38-cp38-macosx_12_0_universal2.whl", hash = "sha256:bfe67f3bcf181edbf6f918b8c963eb060e6aa26697d86590da4edc5707205450"},
+    {file = "duckdb-1.0.0-cp38-cp38-macosx_12_0_x86_64.whl", hash = "sha256:dbc6093a75242f002be1d96a6ace3fdf1d002c813e67baff52112e899de9292f"},
+    {file = "duckdb-1.0.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ba1881a2b11c507cee18f8fd9ef10100be066fddaa2c20fba1f9a664245cd6d8"},
+    {file = "duckdb-1.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:445d0bb35087c522705c724a75f9f1c13f1eb017305b694d2686218d653c8142"},
+    {file = "duckdb-1.0.0-cp38-cp38-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:224553432e84432ffb9684f33206572477049b371ce68cc313a01e214f2fbdda"},
+    {file = "duckdb-1.0.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:d3914032e47c4e76636ad986d466b63fdea65e37be8a6dfc484ed3f462c4fde4"},
+    {file = "duckdb-1.0.0-cp38-cp38-win_amd64.whl", hash = "sha256:af9128a2eb7e1bb50cd2c2020d825fb2946fdad0a2558920cd5411d998999334"},
+    {file = "duckdb-1.0.0-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:dd2659a5dbc0df0de68f617a605bf12fe4da85ba24f67c08730984a0892087e8"},
+    {file = "duckdb-1.0.0-cp39-cp39-macosx_12_0_universal2.whl", hash = "sha256:ac5a4afb0bc20725e734e0b2c17e99a274de4801aff0d4e765d276b99dad6d90"},
+    {file = "duckdb-1.0.0-cp39-cp39-macosx_12_0_x86_64.whl", hash = "sha256:2c5a53bee3668d6e84c0536164589d5127b23d298e4c443d83f55e4150fafe61"},
+    {file = "duckdb-1.0.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b980713244d7708b25ee0a73de0c65f0e5521c47a0e907f5e1b933d79d972ef6"},
+    {file = "duckdb-1.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:21cbd4f9fe7b7a56eff96c3f4d6778770dd370469ca2212eddbae5dd63749db5"},
+    {file = "duckdb-1.0.0-cp39-cp39-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ed228167c5d49888c5ef36f6f9cbf65011c2daf9dcb53ea8aa7a041ce567b3e4"},
+    {file = "duckdb-1.0.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:46d8395fbcea7231fd5032a250b673cc99352fef349b718a23dea2c0dd2b8dec"},
+    {file = "duckdb-1.0.0-cp39-cp39-win_amd64.whl", hash = "sha256:6ad1fc1a4d57e7616944166a5f9417bdbca1ea65c490797e3786e3a42e162d8a"},
+    {file = "duckdb-1.0.0.tar.gz", hash = "sha256:a2a059b77bc7d5b76ae9d88e267372deff19c291048d59450c431e166233d453"},
 ]
 
 [[package]]
@@ -1456,13 +1840,13 @@ gmpy2 = ["gmpy2"]
 
 [[package]]
 name = "elastic-transport"
-version = "8.13.0"
+version = "8.13.1"
 description = "Transport classes and utilities shared among Python Elastic client libraries"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "elastic-transport-8.13.0.tar.gz", hash = "sha256:2410ec1ff51221e8b3a01c0afa9f0d0498e1386a269283801f5c12f98e42dc45"},
-    {file = "elastic_transport-8.13.0-py3-none-any.whl", hash = "sha256:aec890afdddd057762b27ff3553b0be8fa4673ec1a4fd922dfbd00325874bb3d"},
+    {file = "elastic_transport-8.13.1-py3-none-any.whl", hash = "sha256:5d4bb6b8e9d74a9c16de274e91a5caf65a3a8d12876f1e99152975e15b2746fe"},
+    {file = "elastic_transport-8.13.1.tar.gz", hash = "sha256:16339d392b4bbe86ad00b4bdeecff10edf516d32bc6c16053846625f2c6ea250"},
 ]
 
 [package.dependencies]
@@ -1474,13 +1858,13 @@ develop = ["aiohttp", "furo", "httpx", "mock", "opentelemetry-api", "opentelemet
 
 [[package]]
 name = "elasticsearch"
-version = "8.13.1"
+version = "8.14.0"
 description = "Python client for Elasticsearch"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "elasticsearch-8.13.1-py3-none-any.whl", hash = "sha256:ba2b3f8b30a7a81beae690f1cede52fbcfd29baf3ef5bb028d4fa86972feebd8"},
-    {file = "elasticsearch-8.13.1.tar.gz", hash = "sha256:1594d2d1293672db62525bc4688d86cdaf118db0f901808db28dc90ad19b81e1"},
+    {file = "elasticsearch-8.14.0-py3-none-any.whl", hash = "sha256:cef8ef70a81af027f3da74a4f7d9296b390c636903088439087b8262a468c130"},
+    {file = "elasticsearch-8.14.0.tar.gz", hash = "sha256:aa2490029dd96f4015b333c1827aa21fd6c0a4d223b00dfb0fe933b8d09a511b"},
 ]
 
 [package.dependencies]
@@ -1489,22 +1873,40 @@ elastic-transport = ">=8.13,<9"
 [package.extras]
 async = ["aiohttp (>=3,<4)"]
 orjson = ["orjson (>=3)"]
-requests = ["requests (>=2.4.0,<3.0.0)"]
+requests = ["requests (>=2.4.0,!=2.32.2,<3.0.0)"]
 vectorstore-mmr = ["numpy (>=1)", "simsimd (>=3)"]
 
+[[package]]
+name = "email-validator"
+version = "2.2.0"
+description = "A robust email address syntax and deliverability validation library."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "email_validator-2.2.0-py3-none-any.whl", hash = "sha256:561977c2d73ce3611850a06fa56b414621e0c8faa9d66f2611407d87465da631"},
+    {file = "email_validator-2.2.0.tar.gz", hash = "sha256:cb690f344c617a714f22e66ae771445a1ceb46821152df8e165c5f9a364582b7"},
+]
+
+[package.dependencies]
+dnspython = ">=2.0.0"
+idna = ">=2.0.0"
+
 [[package]]
 name = "emoji"
-version = "2.11.1"
+version = "2.12.1"
 description = "Emoji for Python"
 optional = false
-python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
+python-versions = ">=3.7"
 files = [
-    {file = "emoji-2.11.1-py2.py3-none-any.whl", hash = "sha256:b7ba25299bbf520cc8727848ae66b986da32aee27dc2887eaea2bff07226ce49"},
-    {file = "emoji-2.11.1.tar.gz", hash = "sha256:062ff0b3154b6219143f8b9f4b3e5c64c35bc2b146e6e2349ab5f29e218ce1ee"},
+    {file = "emoji-2.12.1-py3-none-any.whl", hash = "sha256:a00d62173bdadc2510967a381810101624a2f0986145b8da0cffa42e29430235"},
+    {file = "emoji-2.12.1.tar.gz", hash = "sha256:4aa0488817691aa58d83764b6c209f8a27c0b3ab3f89d1b8dceca1a62e4973eb"},
 ]
 
+[package.dependencies]
+typing-extensions = ">=4.7.0"
+
 [package.extras]
-dev = ["coverage", "coveralls", "pytest"]
+dev = ["coverage", "pytest (>=7.4.4)"]
 
 [[package]]
 name = "exceptiongroup"
@@ -1548,70 +1950,39 @@ files = [
 [package.extras]
 tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich"]
 
-[[package]]
-name = "extract-msg"
-version = "0.47.0"
-description = "Extracts emails and attachments saved in Microsoft Outlook's .msg files"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "extract_msg-0.47.0-py2.py3-none-any.whl", hash = "sha256:ab177546d6ebbea7818e9acb352f6f8cce3821e39319405e6a873808238564a5"},
-    {file = "extract_msg-0.47.0.tar.gz", hash = "sha256:d3ed5fdc8cdff3567421d7e4183511905eb3c83d2605e6c9335c653efa6cfb41"},
-]
-
-[package.dependencies]
-beautifulsoup4 = ">=4.11.1,<4.13"
-compressed-rtf = ">=1.0.6,<2"
-ebcdic = ">=1.1.1,<2"
-olefile = "0.47"
-red-black-tree-mod = "1.20"
-RTFDE = ">=0.1.1,<0.2"
-tzlocal = ">=4.2,<6"
-
-[package.extras]
-all = ["extract-msg[encoding]", "extract-msg[image]", "extract-msg[mime]"]
-encoding = ["chardet (>=3.0.0,<6)"]
-image = ["Pillow (>=9.5.0,<10)"]
-mime = ["python-magic (>=0.4.27,<0.5)"]
-readthedocs = ["sphinx-rtd-theme"]
-
 [[package]]
 name = "faiss-cpu"
-version = "1.8.0"
+version = "1.8.0.post1"
 description = "A library for efficient similarity search and clustering of dense vectors."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "faiss-cpu-1.8.0.tar.gz", hash = "sha256:3ee1549491728f37b65267c192a94661a907154a8ae0546ad50a564b8be0d82e"},
-    {file = "faiss_cpu-1.8.0-cp310-cp310-macosx_10_14_x86_64.whl", hash = "sha256:134a064c7411acf7d1d863173a9d2605c5a59bd573639ab39a5ded5ca983b1b2"},
-    {file = "faiss_cpu-1.8.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ba8e6202d561ac57394c9d691ff17f8fa6eb9a077913a993fce0a154ec0176f1"},
-    {file = "faiss_cpu-1.8.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a66e9fa7b70556a39681f06e0652f4124c8ddb0a1924afe4f0e40b6924dc845b"},
-    {file = "faiss_cpu-1.8.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:51aaef5a1255d0ea88ea7e52a2415f98c5dd2dd9cec10348d55136541eeec99f"},
-    {file = "faiss_cpu-1.8.0-cp310-cp310-win_amd64.whl", hash = "sha256:38152761242870ec7019e0397cbd0ed0b0716562029ce41a71bb38448bd6d5bc"},
-    {file = "faiss_cpu-1.8.0-cp311-cp311-macosx_10_14_x86_64.whl", hash = "sha256:c9e6ad94b86626be1a0faff3e53c4ca169eba88aa156d7e90c5a2e9ba30558fb"},
-    {file = "faiss_cpu-1.8.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:4601dbd81733bf1bc3bff690aac981289fb386dc8e60d0c4eec8a37ba6856d20"},
-    {file = "faiss_cpu-1.8.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fa943d3b5e8c5c77cdd629d9c3c6f78d7da616e586fdd1b94aecbf2e5fa9ba06"},
-    {file = "faiss_cpu-1.8.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b644b366c3b239b34fa3e08bf65bfc78a24eda1e1ea5b2b6d9be3e8fc73d8179"},
-    {file = "faiss_cpu-1.8.0-cp311-cp311-win_amd64.whl", hash = "sha256:f85ecf3514850f93985be238351f5a70736133cfae784b372640aa17c6343a1b"},
-    {file = "faiss_cpu-1.8.0-cp312-cp312-macosx_10_14_x86_64.whl", hash = "sha256:61abc0129a357ac00f17f5167f14dff41480de2cc852f306c3d4cd36b893ccbd"},
-    {file = "faiss_cpu-1.8.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:b788186d6eb94e6333e1aa8bb6c84b66e967458ecdd1cee22e16f04c43ee674c"},
-    {file = "faiss_cpu-1.8.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5658d90a202c62e4a69c5b065785e9ddcaf6986cb395c16afed8dbe4c58c31a2"},
-    {file = "faiss_cpu-1.8.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5d460a372efce547e53d3c47d2c2a8a90b186ad245969048c10c1d7a1e5cf21b"},
-    {file = "faiss_cpu-1.8.0-cp312-cp312-win_amd64.whl", hash = "sha256:9e6520324f0a6764dd267b3c32c76958bf2b1ec36752950f6fab31a7295980a0"},
-    {file = "faiss_cpu-1.8.0-cp38-cp38-macosx_10_14_x86_64.whl", hash = "sha256:fc44be179d5b7f690484ef0d0caf817fea2698a5275a0c7fb6cbf406e5b2e4d1"},
-    {file = "faiss_cpu-1.8.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:bbd6f0bc2e1424a12dc7e19d2cc95b53124867966b21110d26f909227e7ed1f1"},
-    {file = "faiss_cpu-1.8.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:06e7add0c8a06ce8fb0443c38fcaf49c45fb74527ea633b819e56452608e64f5"},
-    {file = "faiss_cpu-1.8.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b864e23c1817fa6cfe9bbec096fd7140d596002934f71aa89b196ffb1b9cd846"},
-    {file = "faiss_cpu-1.8.0-cp38-cp38-win_amd64.whl", hash = "sha256:655433755845adbb6f0961e2f8980703640cb9faa96f1cd1ea190252149e0d0a"},
-    {file = "faiss_cpu-1.8.0-cp39-cp39-macosx_10_14_x86_64.whl", hash = "sha256:e81fc376a3bcda213ffb395dda1018c953ce927c587731ad582f4e6c2b225363"},
-    {file = "faiss_cpu-1.8.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:8c6fa6b7eaf558307b4ab118a236e8d1da79a8685222928e4dd52e277dba144a"},
-    {file = "faiss_cpu-1.8.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:652f6812ef2e8b0f9b18209828c590bc618aca82e7f1c1b1888f52928258e406"},
-    {file = "faiss_cpu-1.8.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:304da4e0d19044374b63a5b6467028572eac4bd3f32bc9e8783d800a03fb1f02"},
-    {file = "faiss_cpu-1.8.0-cp39-cp39-win_amd64.whl", hash = "sha256:cb475d3f25f08c97ac64dfe026f113e2aeb9829b206b3b046256c3b40dd7eb62"},
-]
-
-[package.dependencies]
-numpy = "*"
+    {file = "faiss_cpu-1.8.0.post1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b78ff9079d15fd0f156bf5dd8a2975a8abffac1854a86ece263eec1500a2e836"},
+    {file = "faiss_cpu-1.8.0.post1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9de25c943d1789e35fe06a20884c88cd32aedbb1a33bb8da2238cdea7bd9633f"},
+    {file = "faiss_cpu-1.8.0.post1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:adae0f1b144e7216da696f14bc4991ca4300c94baaa59247c3d322588e661c95"},
+    {file = "faiss_cpu-1.8.0.post1-cp310-cp310-win_amd64.whl", hash = "sha256:00345290680a444a4b4cb2d98a3844bb5c401a2160fee547c7631d759fd2ec3e"},
+    {file = "faiss_cpu-1.8.0.post1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:20bd43eca3b7d77e71ea56b7a558cc28e900d8abff417eb285e2d92e95d934d4"},
+    {file = "faiss_cpu-1.8.0.post1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8542a87743a7f94ac656fd3e9592ad57e58b04d961ad2fe654a22a8ca59defdb"},
+    {file = "faiss_cpu-1.8.0.post1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ed46928de3dc20170b10fec89c54075a11383c2aaf4f119c63e0f6ae5a507d74"},
+    {file = "faiss_cpu-1.8.0.post1-cp311-cp311-win_amd64.whl", hash = "sha256:4fa5fc8ea210b919aa469e27d6687e50052db906e7fec3f2257178b1384fa18b"},
+    {file = "faiss_cpu-1.8.0.post1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:92b06147fa84732ecdc965922e8ef50dc7011ef8be65821ff4abb2118cb5dce0"},
+    {file = "faiss_cpu-1.8.0.post1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:709ef9394d1148aef70dbe890edbde8c282a4a2e06a8b69ab64f65e90f5ba572"},
+    {file = "faiss_cpu-1.8.0.post1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:327a9c30971bf72cd8392b15eb4aff5d898c453212eae656dfaa3ba555b9ca0c"},
+    {file = "faiss_cpu-1.8.0.post1-cp312-cp312-win_amd64.whl", hash = "sha256:8756f1d93faba56349883fa2f5d47fe36bb2f11f789200c6b1c691ef805485f2"},
+    {file = "faiss_cpu-1.8.0.post1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:8842b7fc921ca1fafdb0845f2ba029e79df04eebae72ab135239f93478a9b7a2"},
+    {file = "faiss_cpu-1.8.0.post1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9d5a9799634e32c3862d5436d1e78112ed9a38f319e4523f5916e55d86adda8f"},
+    {file = "faiss_cpu-1.8.0.post1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2a70923b0fbbb40f647e20bcbcbfd472277e6d84bb23ff12d2a94b6841806b55"},
+    {file = "faiss_cpu-1.8.0.post1-cp38-cp38-win_amd64.whl", hash = "sha256:ce652df3c4dd50c88ac9235d072f30ce60694dc422c5f523bbbcab320e8f3097"},
+    {file = "faiss_cpu-1.8.0.post1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:c50c8697077470ede7f1939ef8dc8a846ec19cf1893b543f6b67f9af03b0a122"},
+    {file = "faiss_cpu-1.8.0.post1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:98ce428a7a67fe5c64047280e5e12a8dbdecf7002f9d127b26cf1db354e9fe76"},
+    {file = "faiss_cpu-1.8.0.post1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5f3b36b80380bae523e3198cfb4a137867055945ce7bf10d18fe9f0284f2fb47"},
+    {file = "faiss_cpu-1.8.0.post1-cp39-cp39-win_amd64.whl", hash = "sha256:4fcc67a2353f08a20c1ab955de3cde14ef3b447761b26244a5aa849c15cbc9b3"},
+    {file = "faiss_cpu-1.8.0.post1.tar.gz", hash = "sha256:5686af34414678c3d49c4fa8d774df7156e9cb48d7029071e56230e74b01cc13"},
+]
+
+[package.dependencies]
+numpy = ">=1.0,<2.0"
+packaging = "*"
 
 [[package]]
 name = "fake-useragent"
@@ -1624,27 +1995,49 @@ files = [
     {file = "fake_useragent-1.5.1-py3-none-any.whl", hash = "sha256:57415096557c8a4e23b62a375c21c55af5fd4ba30549227f562d2c4f5b60e3b3"},
 ]
 
-[package.dependencies]
-importlib-resources = {version = ">=5.0", markers = "python_version < \"3.10\""}
-
 [[package]]
 name = "fastapi"
-version = "0.109.2"
+version = "0.111.0"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "fastapi-0.109.2-py3-none-any.whl", hash = "sha256:2c9bab24667293b501cad8dd388c05240c850b58ec5876ee3283c47d6e1e3a4d"},
-    {file = "fastapi-0.109.2.tar.gz", hash = "sha256:f3817eac96fe4f65a2ebb4baa000f394e55f5fccdaf7f75250804bc58f354f73"},
+    {file = "fastapi-0.111.0-py3-none-any.whl", hash = "sha256:97ecbf994be0bcbdadedf88c3150252bed7b2087075ac99735403b1b76cc8fc0"},
+    {file = "fastapi-0.111.0.tar.gz", hash = "sha256:b9db9dd147c91cb8b769f7183535773d8741dd46f9dc6676cd82eab510228cd7"},
 ]
 
 [package.dependencies]
+email_validator = ">=2.0.0"
+fastapi-cli = ">=0.0.2"
+httpx = ">=0.23.0"
+jinja2 = ">=2.11.2"
+orjson = ">=3.2.1"
 pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.1.0 || >2.1.0,<3.0.0"
-starlette = ">=0.36.3,<0.37.0"
+python-multipart = ">=0.0.7"
+starlette = ">=0.37.2,<0.38.0"
 typing-extensions = ">=4.8.0"
+ujson = ">=4.0.1,<4.0.2 || >4.0.2,<4.1.0 || >4.1.0,<4.2.0 || >4.2.0,<4.3.0 || >4.3.0,<5.0.0 || >5.0.0,<5.1.0 || >5.1.0"
+uvicorn = {version = ">=0.12.0", extras = ["standard"]}
+
+[package.extras]
+all = ["email_validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
+
+[[package]]
+name = "fastapi-cli"
+version = "0.0.4"
+description = "Run and manage FastAPI apps from the command line with FastAPI CLI. 🚀"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "fastapi_cli-0.0.4-py3-none-any.whl", hash = "sha256:a2552f3a7ae64058cdbb530be6fa6dbfc975dc165e4fa66d224c3d396e25e809"},
+    {file = "fastapi_cli-0.0.4.tar.gz", hash = "sha256:e2e9ffaffc1f7767f488d6da34b6f5a377751c996f397902eb6abb99a67bde32"},
+]
+
+[package.dependencies]
+typer = ">=0.12.3"
 
 [package.extras]
-all = ["email-validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
+standard = ["fastapi", "uvicorn[standard] (>=0.15.0)"]
 
 [[package]]
 name = "fastavro"
@@ -1694,18 +2087,18 @@ zstandard = ["zstandard"]
 
 [[package]]
 name = "filelock"
-version = "3.14.0"
+version = "3.15.4"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "filelock-3.14.0-py3-none-any.whl", hash = "sha256:43339835842f110ca7ae60f1e1c160714c5a6afd15a2873419ab185334975c0f"},
-    {file = "filelock-3.14.0.tar.gz", hash = "sha256:6ea72da3be9b8c82afd3edcf99f2fffbb5076335a5ae4d03248bb5b6c3eae78a"},
+    {file = "filelock-3.15.4-py3-none-any.whl", hash = "sha256:6ca1fffae96225dab4c6eaf1c4f4f28cd2568d3ec2a44e15a08520504de468e7"},
+    {file = "filelock-3.15.4.tar.gz", hash = "sha256:2207938cbc1844345cb01a5a95524dae30f0ce089eba5b00378295a17e3e90cb"},
 ]
 
 [package.extras]
 docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"]
-testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8.0.1)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)"]
+testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8.0.1)", "pytest (>=7.4.3)", "pytest-asyncio (>=0.21)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)", "virtualenv (>=20.26.2)"]
 typing = ["typing-extensions (>=4.8)"]
 
 [[package]]
@@ -1770,7 +2163,6 @@ files = [
 [package.dependencies]
 blinker = ">=1.6.2"
 click = ">=8.1.3"
-importlib-metadata = {version = ">=3.6.0", markers = "python_version < \"3.10\""}
 itsdangerous = ">=2.1.2"
 Jinja2 = ">=3.1.2"
 Werkzeug = ">=3.0.0"
@@ -1925,15 +2317,18 @@ files = [
 
 [[package]]
 name = "fsspec"
-version = "2024.3.1"
+version = "2024.2.0"
 description = "File-system specification"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "fsspec-2024.3.1-py3-none-any.whl", hash = "sha256:918d18d41bf73f0e2b261824baeb1b124bcf771767e3a26425cd7dec3332f512"},
-    {file = "fsspec-2024.3.1.tar.gz", hash = "sha256:f39780e282d7d117ffb42bb96992f8a90795e4d0fb0f661a70ca39fe9c43ded9"},
+    {file = "fsspec-2024.2.0-py3-none-any.whl", hash = "sha256:817f969556fa5916bc682e02ca2045f96ff7f586d45110fcb76022063ad2c7d8"},
+    {file = "fsspec-2024.2.0.tar.gz", hash = "sha256:b6ad1a679f760dda52b1168c859d01b7b80648ea6f7f7c7f5a8a91dc3f3ecb84"},
 ]
 
+[package.dependencies]
+aiohttp = {version = "<4.0.0a0 || >4.0.0a0,<4.0.0a1 || >4.0.0a1", optional = true, markers = "extra == \"http\""}
+
 [package.extras]
 abfs = ["adlfs"]
 adl = ["adlfs"]
@@ -1969,6 +2364,21 @@ files = [
     {file = "future-1.0.0.tar.gz", hash = "sha256:bd2968309307861edae1458a4f8a4f3598c03be43b97521076aebf5d94c07b05"},
 ]
 
+[[package]]
+name = "geomet"
+version = "0.2.1.post1"
+description = "GeoJSON <-> WKT/WKB conversion utilities"
+optional = false
+python-versions = ">2.6, !=3.3.*, <4"
+files = [
+    {file = "geomet-0.2.1.post1-py3-none-any.whl", hash = "sha256:a41a1e336b381416d6cbed7f1745c848e91defaa4d4c1bdc1312732e46ffad2b"},
+    {file = "geomet-0.2.1.post1.tar.gz", hash = "sha256:91d754f7c298cbfcabd3befdb69c641c27fe75e808b27aa55028605761d17e95"},
+]
+
+[package.dependencies]
+click = "*"
+six = "*"
+
 [[package]]
 name = "gevent"
 version = "24.2.1"
@@ -2037,74 +2447,74 @@ test = ["cffi (>=1.12.2)", "coverage (>=5.0)", "dnspython (>=1.16.0,<2.0)", "idn
 
 [[package]]
 name = "geventhttpclient"
-version = "2.2.1"
+version = "2.3.1"
 description = "HTTP client library for gevent"
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "geventhttpclient-2.2.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:672c6b0239dc6651c02b54b5d3f67290af40fade700ee3ab48fc97f09c6a5dc6"},
-    {file = "geventhttpclient-2.2.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f11fda0645c406c250e01db97a3e2d2f804c7b50eb1432d1e00f37225bcc4598"},
-    {file = "geventhttpclient-2.2.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:34338eafa649a281d7f5453c3aaf88744137bbe099ad3ba157ae491cd88b96e0"},
-    {file = "geventhttpclient-2.2.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bb1021556cc4329246a4493ad90ac8a55594c27c2b85093676dc937cf19d6de2"},
-    {file = "geventhttpclient-2.2.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:06c6cc714ce66f66e8f892575aecdbed2355afe4b39cb89d08eb8728b8523466"},
-    {file = "geventhttpclient-2.2.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:df3788352d9ee10fa7c6cdfa45260e353e96466555e2a7d2ebcc394f607e0cce"},
-    {file = "geventhttpclient-2.2.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9ebe1333f4f6b879f84576ac1aeacbe32a382716f05172f9aa38313bf1bbcf45"},
-    {file = "geventhttpclient-2.2.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:bcdb648301db9649d3a099d3f833919315ff34f26e47149f986b0ca2f5b0e186"},
-    {file = "geventhttpclient-2.2.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:81d6d5a6a0a93c0b7d395270d5d357bbcc4b4502ea2086e711869a65c0f9fc30"},
-    {file = "geventhttpclient-2.2.1-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:6af2fc621ea8c7aae6fa49c2204bd80050a0c56ea349011f3ebe2f36d8623ad4"},
-    {file = "geventhttpclient-2.2.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:ff7bbc4b4b913631dbc6f23d3d3cbbf1d9b020181cbfa8a806e13ebb01e13219"},
-    {file = "geventhttpclient-2.2.1-cp310-cp310-win32.whl", hash = "sha256:cfa65f0c595ad2cf9f129f7cf18de076db4f72449fa8a6cc7f7cf554e5332832"},
-    {file = "geventhttpclient-2.2.1-cp310-cp310-win_amd64.whl", hash = "sha256:f4e1ae7ad0bd7a00c679874652ea49a6352f91690c35ee0da45bf63114ad433b"},
-    {file = "geventhttpclient-2.2.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:438d3f8c2ba0a9a8b58d62f6ccd29bea468b41f71132f21eb9e8aff347e98c5d"},
-    {file = "geventhttpclient-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:3e22e108b64d20c8767b1e78ebe230d3f2af5805e80246d6aa2afd1dab4a6f19"},
-    {file = "geventhttpclient-2.2.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:164ec70971c915ea3716d4175d704c6cb0cb020a64eb6ea7f0a3277abd07f2fb"},
-    {file = "geventhttpclient-2.2.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:83589b7708f40b1366616dab832fcefb3f486cf61c65dac9bf2fe3196850d34d"},
-    {file = "geventhttpclient-2.2.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1d735d39b9c64fb79f01b36d47f38653f8988d441d6b7dbaedac3d4b45f0cd21"},
-    {file = "geventhttpclient-2.2.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:41b56ae8a616fa237b45e1a7bc9c474441d7e69fb46a1fac4f6edc1d462454d9"},
-    {file = "geventhttpclient-2.2.1-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:034961b2fafcdf1f54895f37980aca5bafa8740dde39d2eacbacb4e0995b99a5"},
-    {file = "geventhttpclient-2.2.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:eec11a2e3501e0170f057f4e292a5715d57e3362fefa75f804302fc4bd916b38"},
-    {file = "geventhttpclient-2.2.1-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:7387571fa24608e40230bd60641bb811dd0565f77dd52b7b3249eecb9293d01a"},
-    {file = "geventhttpclient-2.2.1-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:f37e0f56ade9c308ef5f5359bcb9d69f8b6d6ee177f2e1965b5f75472dfb02f9"},
-    {file = "geventhttpclient-2.2.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:8bbcf295b8987114437215ed5b2980811a5d135ddcdc1258add64caee679de8c"},
-    {file = "geventhttpclient-2.2.1-cp311-cp311-win32.whl", hash = "sha256:44e206dea6c5d11287f4ad96dd807d4cd85f8aad1a243f7b0d87a90dc877bdcd"},
-    {file = "geventhttpclient-2.2.1-cp311-cp311-win_amd64.whl", hash = "sha256:e5c55f3526bf3d9c47a6c4d789ad9cd224ed301740e15c1bdeb7bc067b38c7bf"},
-    {file = "geventhttpclient-2.2.1-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:86f0372314515cc49bd88a1d733db31f8d746f77790cd3e9fcb2bfadbf06bf01"},
-    {file = "geventhttpclient-2.2.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:2203442640dc0f2178be7b7a2ed285deffeda31c80045162a291292f1269cf8b"},
-    {file = "geventhttpclient-2.2.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:005e4798af49bd017c19c7272f87e05bfd72ba7ff876de5a3457026587c16c33"},
-    {file = "geventhttpclient-2.2.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c4188f482cc7d970b7fe71e178199c853064c17c6bfa87a4f5f482bb2a2db3d2"},
-    {file = "geventhttpclient-2.2.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f805eab5012133aabab802fc1efc7a865226f534340ce2617439c3be4f10925f"},
-    {file = "geventhttpclient-2.2.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:75f2fff7785887441c4f57aa6004a5edf545952db089f060655f77dacc2f8a9f"},
-    {file = "geventhttpclient-2.2.1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c20f68942bea6789abe363a08abb8453017c6eda69bc69d9b6c52f166254375c"},
-    {file = "geventhttpclient-2.2.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:8d9ab6892e9b95a782a3af279f07e60ee4de98f94e0a9c78955c820a1e7bb821"},
-    {file = "geventhttpclient-2.2.1-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:69f71152c5ff9272c1d4ee653c0ba7357e2eada4c3af68ceaa3b866c0b7410e8"},
-    {file = "geventhttpclient-2.2.1-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:b173bc1d11ee2bef1d46f5159a23fa749f7c770b75127184aa855df976267a05"},
-    {file = "geventhttpclient-2.2.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:7a771dfbaba83ba558d438e5e3ece49f04c683e3af510ad366f94502af7c5f4e"},
-    {file = "geventhttpclient-2.2.1-cp312-cp312-win32.whl", hash = "sha256:438ee39c11b83d737e6c8121467a0e72d2cabe8c5a3a8d432106a10c9c95df79"},
-    {file = "geventhttpclient-2.2.1-cp312-cp312-win_amd64.whl", hash = "sha256:f125e37261e9cf1841cd3d81b196e051150d7fbbf74652aad40eafab08b19969"},
-    {file = "geventhttpclient-2.2.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:37030e799993c2576c30264b58e868e7de6bbd9ff6298dace713e7ba5c545346"},
-    {file = "geventhttpclient-2.2.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:19ab382d7f736fa87a0f417b3b2b67b4ce8a81fceda38d1e6344725907b9d405"},
-    {file = "geventhttpclient-2.2.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:7f0691aaeb87f3ad8337b3d862c2f74d8910a2762076adfd32940094eb10a267"},
-    {file = "geventhttpclient-2.2.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6e51627d3690a8829199ac39197d081cb13bc866c8c7fe9d9c383517b4bbbbfb"},
-    {file = "geventhttpclient-2.2.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:01f4ebcd0cae416cab27092f65c6b5a8c6bc9d50e9447f6278c6261995fb6629"},
-    {file = "geventhttpclient-2.2.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f9cb660559b292d7a1e3d22938d384cc3c534d356ca308f50d9c3801bfc404cb"},
-    {file = "geventhttpclient-2.2.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2eec345499bbdf9acccdbd08e9180ff93334bf339cb2b0250b57b6a74a742bd4"},
-    {file = "geventhttpclient-2.2.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:e013cb4fcadbb5e9ef36cbd8774bc8b70ea09f9b4d2ec84b9f3e2b5a203e1bfa"},
-    {file = "geventhttpclient-2.2.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:2144d1900db9f6b5d5560ecba2bba39922829d09dbebaa794ebb0ad9e4747618"},
-    {file = "geventhttpclient-2.2.1-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:8b30fdd201893a8ed7cfd98df23925623f0e731737e42050a5602d7ed038e55e"},
-    {file = "geventhttpclient-2.2.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:ec607413b3ac1b62035c2bdf5e27d705c8d74a3ecd26851318380c66231909e2"},
-    {file = "geventhttpclient-2.2.1-cp39-cp39-win32.whl", hash = "sha256:a06342791b66e2c40b53e7d8ba0fad6b88704cc5e7dcf8d795bbe16e88f783c2"},
-    {file = "geventhttpclient-2.2.1-cp39-cp39-win_amd64.whl", hash = "sha256:a77fc38028c6fb8d9f712f9589c20e8da275368daf81c3efb3019cc2056b18a4"},
-    {file = "geventhttpclient-2.2.1-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:c078d03bc1edf2b484ef056312e132772cb9debd0cf0ac3f27144014b504228e"},
-    {file = "geventhttpclient-2.2.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:45daaec4ab2b77861a0a81a8735bb82f2571b5035366323ffac9f80abd2973cd"},
-    {file = "geventhttpclient-2.2.1-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:89cd7dc244e8052d0de7ae345aa009739f1ae32bbd2a0668a422321824bcd8b9"},
-    {file = "geventhttpclient-2.2.1-pp310-pypy310_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8a4835f5486cdf84c64680bba49a59439a81fa9eb632e64c7e86956d074e56a7"},
-    {file = "geventhttpclient-2.2.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:8685d152abecd58d9b546012b08a35d1ff0e37761039e817347960ef576fff68"},
-    {file = "geventhttpclient-2.2.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:ff2f6b587e7834bebf8ced8be227372b11c24c5429615b9080e2d18401403329"},
-    {file = "geventhttpclient-2.2.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a4aa373c83d4724066e528d7526f46139e03299a474ff442cc50f3c802e6cc0f"},
-    {file = "geventhttpclient-2.2.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:cd354a3f7fa6b1d6bd1c4875e8d35861cb5021fd475d5120e65462b85c546b8e"},
-    {file = "geventhttpclient-2.2.1-pp39-pypy39_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6d488c914aeae9c740c0a90203ebffa195fac0bfc974a284df4677f39fc0d4d9"},
-    {file = "geventhttpclient-2.2.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:0102e761996967bb28689c068a73c009cda43fa80a54b26253198c734926d043"},
-    {file = "geventhttpclient-2.2.1.tar.gz", hash = "sha256:29f7e02683e3cd4f0032fba67364ff322e8504fddd170d9de5541bcfade85a50"},
+    {file = "geventhttpclient-2.3.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:da22ab7bf5af4ba3d07cffee6de448b42696e53e7ac1fe97ed289037733bf1c2"},
+    {file = "geventhttpclient-2.3.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2399e3d4e2fae8bbd91756189da6e9d84adf8f3eaace5eef0667874a705a29f8"},
+    {file = "geventhttpclient-2.3.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:d3e33e87d0d5b9f5782c4e6d3cb7e3592fea41af52713137d04776df7646d71b"},
+    {file = "geventhttpclient-2.3.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c071db313866c3d0510feb6c0f40ec086ccf7e4a845701b6316c82c06e8b9b29"},
+    {file = "geventhttpclient-2.3.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f36f0c6ef88a27e60af8369d9c2189fe372c6f2943182a7568e0f2ad33bb69f1"},
+    {file = "geventhttpclient-2.3.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c4624843c03a5337282a42247d987c2531193e57255ee307b36eeb4f243a0c21"},
+    {file = "geventhttpclient-2.3.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d614573621ba827c417786057e1e20e9f96c4f6b3878c55b1b7b54e1026693bc"},
+    {file = "geventhttpclient-2.3.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:5d51330a40ac9762879d0e296c279c1beae8cfa6484bb196ac829242c416b709"},
+    {file = "geventhttpclient-2.3.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:bc9f2162d4e8cb86bb5322d99bfd552088a3eacd540a841298f06bb8bc1f1f03"},
+    {file = "geventhttpclient-2.3.1-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:06e59d3397e63c65ecc7a7561a5289f0cf2e2c2252e29632741e792f57f5d124"},
+    {file = "geventhttpclient-2.3.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:4436eef515b3e0c1d4a453ae32e047290e780a623c1eddb11026ae9d5fb03d42"},
+    {file = "geventhttpclient-2.3.1-cp310-cp310-win32.whl", hash = "sha256:5d1cf7d8a4f8e15cc8fd7d88ac4cdb058d6274203a42587e594cc9f0850ac862"},
+    {file = "geventhttpclient-2.3.1-cp310-cp310-win_amd64.whl", hash = "sha256:4deaebc121036f7ea95430c2d0f80ab085b15280e6ab677a6360b70e57020e7f"},
+    {file = "geventhttpclient-2.3.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:f0ae055b9ce1704f2ce72c0847df28f4e14dbb3eea79256cda6c909d82688ea3"},
+    {file = "geventhttpclient-2.3.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f087af2ac439495b5388841d6f3c4de8d2573ca9870593d78f7b554aa5cfa7f5"},
+    {file = "geventhttpclient-2.3.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:76c367d175810facfe56281e516c9a5a4a191eff76641faaa30aa33882ed4b2f"},
+    {file = "geventhttpclient-2.3.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a58376d0d461fe0322ff2ad362553b437daee1eeb92b4c0e3b1ffef9e77defbe"},
+    {file = "geventhttpclient-2.3.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f440cc704f8a9869848a109b2c401805c17c070539b2014e7b884ecfc8591e33"},
+    {file = "geventhttpclient-2.3.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f10c62994f9052f23948c19de930b2d1f063240462c8bd7077c2b3290e61f4fa"},
+    {file = "geventhttpclient-2.3.1-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:52c45d9f3dd9627844c12e9ca347258c7be585bed54046336220e25ea6eac155"},
+    {file = "geventhttpclient-2.3.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:77c1a2c6e3854bf87cd5588b95174640c8a881716bd07fa0d131d082270a6795"},
+    {file = "geventhttpclient-2.3.1-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:ce649d4e25c2d56023471df0bf1e8e2ab67dfe4ff12ce3e8fe7e6fae30cd672a"},
+    {file = "geventhttpclient-2.3.1-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:265d9f31b4ac8f688eebef0bd4c814ffb37a16f769ad0c8c8b8c24a84db8eab5"},
+    {file = "geventhttpclient-2.3.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:2de436a9d61dae877e4e811fb3e2594e2a1df1b18f4280878f318aef48a562b9"},
+    {file = "geventhttpclient-2.3.1-cp311-cp311-win32.whl", hash = "sha256:83e22178b9480b0a95edf0053d4f30b717d0b696b3c262beabe6964d9c5224b1"},
+    {file = "geventhttpclient-2.3.1-cp311-cp311-win_amd64.whl", hash = "sha256:97b072a282233384c1302a7dee88ad8bfedc916f06b1bc1da54f84980f1406a9"},
+    {file = "geventhttpclient-2.3.1-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:e1c90abcc2735cd8dd2d2572a13da32f6625392dc04862decb5c6476a3ddee22"},
+    {file = "geventhttpclient-2.3.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:5deb41c2f51247b4e568c14964f59d7b8e537eff51900564c88af3200004e678"},
+    {file = "geventhttpclient-2.3.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:c6f1a56a66a90c4beae2f009b5e9d42db9a58ced165aa35441ace04d69cb7b37"},
+    {file = "geventhttpclient-2.3.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8ee6e741849c29e3129b1ec3828ac3a5e5dcb043402f852ea92c52334fb8cabf"},
+    {file = "geventhttpclient-2.3.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:0d0972096a63b1ddaa73fa3dab2c7a136e3ab8bf7999a2f85a5dee851fa77cdd"},
+    {file = "geventhttpclient-2.3.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:00675ba682fb7d19d659c14686fa8a52a65e3f301b56c2a4ee6333b380dd9467"},
+    {file = "geventhttpclient-2.3.1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ea77b67c186df90473416f4403839728f70ef6cf1689cec97b4f6bbde392a8a8"},
+    {file = "geventhttpclient-2.3.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:ddcc3f0fdffd9a3801e1005b73026202cffed8199863fdef9315bea9a860a032"},
+    {file = "geventhttpclient-2.3.1-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:c9f1ef4ec048563cc621a47ff01a4f10048ff8b676d7a4d75e5433ed8e703e56"},
+    {file = "geventhttpclient-2.3.1-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:a364b30bec7a0a00dbe256e2b6807e4dc866bead7ac84aaa51ca5e2c3d15c258"},
+    {file = "geventhttpclient-2.3.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:25d255383d3d6a6fbd643bb51ae1a7e4f6f7b0dbd5f3225b537d0bd0432eaf39"},
+    {file = "geventhttpclient-2.3.1-cp312-cp312-win32.whl", hash = "sha256:ad0b507e354d2f398186dcb12fe526d0594e7c9387b514fb843f7a14fdf1729a"},
+    {file = "geventhttpclient-2.3.1-cp312-cp312-win_amd64.whl", hash = "sha256:7924e0883bc2b177cfe27aa65af6bb9dd57f3e26905c7675a2d1f3ef69df7cca"},
+    {file = "geventhttpclient-2.3.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:fe912c6456faab196b952adcd63e9353a0d5c8deb31c8d733d38f4f0ab22e359"},
+    {file = "geventhttpclient-2.3.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:8b599359779c2278018786c35d70664d441a7cd0d6baef2b2cd0d1685cf478ed"},
+    {file = "geventhttpclient-2.3.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:34107b506e2c40ec7784efa282469bf86888cacddced463dceeb58c201834897"},
+    {file = "geventhttpclient-2.3.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cc34031905b2b31a80d88cd33d7e42b81812950e5304860ab6a65ee2803e2046"},
+    {file = "geventhttpclient-2.3.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:50b54f67ba2087f4d9d2172065c5c5de0f0c7f865ac350116e5452de4be31444"},
+    {file = "geventhttpclient-2.3.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9ddeb431836c2ef7fd33c505a06180dc907b474e0e8537a43ff12e12c9bf0307"},
+    {file = "geventhttpclient-2.3.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4890713433ca19b081f70b5f7ad258a0979ec3354f9538b50b3ad7d0a86f88de"},
+    {file = "geventhttpclient-2.3.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:b8ca7dcbe94cb563341087b00b6fbd0fdd70b2acc1b5d963f9ebbfbc1e5e2893"},
+    {file = "geventhttpclient-2.3.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:05a1bbdd43ae36bcc10b3dbfa0806aefc5033a91efecfddfe56159446a46ea71"},
+    {file = "geventhttpclient-2.3.1-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:f82c454595a88a5e510ae0985711ef398386998b6f37d90fc30e9ff1a2001280"},
+    {file = "geventhttpclient-2.3.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:6b032a5cdb1721921f4cd36aad620af318263b462962cfb23d648cdb93aab232"},
+    {file = "geventhttpclient-2.3.1-cp39-cp39-win32.whl", hash = "sha256:ce2c7d18bac7ffdacc4a86cd490bea6136a7d1e1170f8624f2e3bbe3b189d5b8"},
+    {file = "geventhttpclient-2.3.1-cp39-cp39-win_amd64.whl", hash = "sha256:6ca50dd9761971d3557b897108933b34fb4a11533d52f0f2753840c740a2861a"},
+    {file = "geventhttpclient-2.3.1-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:c31431e38df45b3c79bf3c9427c796adb8263d622bc6fa25e2f6ba916c2aad93"},
+    {file = "geventhttpclient-2.3.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:855ab1e145575769b180b57accb0573a77cd6a7392f40a6ef7bc9a4926ebd77b"},
+    {file = "geventhttpclient-2.3.1-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4a374aad77c01539e786d0c7829bec2eba034ccd45733c1bf9811ad18d2a8ecd"},
+    {file = "geventhttpclient-2.3.1-pp310-pypy310_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:66c1e97460608304f400485ac099736fff3566d3d8db2038533d466f8cf5de5a"},
+    {file = "geventhttpclient-2.3.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:4f843f81ee44ba4c553a1b3f73115e0ad8f00044023c24db29f5b1df3da08465"},
+    {file = "geventhttpclient-2.3.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:321b73c73d73b85cfeff36b9b5ee04174ec8406fb3dadc129558a26ccb879360"},
+    {file = "geventhttpclient-2.3.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:829d03c2a140edbe74ad1fb4f850384f585f3e06fc47cfe647d065412b93926f"},
+    {file = "geventhttpclient-2.3.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:994c543f156db7bce3bae15491a0e041eeb3f1cf467e0d1db0c161a900a90bec"},
+    {file = "geventhttpclient-2.3.1-pp39-pypy39_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b4beff505306aa9da5cdfe2f206b403ec7c8d06a22d6b7248365772858c4ee8c"},
+    {file = "geventhttpclient-2.3.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:fb0a9673074541ccda09a2423fa16f4528819ceb1ba19d252213f6aca7d4b44a"},
+    {file = "geventhttpclient-2.3.1.tar.gz", hash = "sha256:b40ddac8517c456818942c7812f555f84702105c82783238c9fcb8dc12675185"},
 ]
 
 [package.dependencies]
@@ -2118,19 +2528,52 @@ benchmarks = ["httplib2", "httpx", "requests", "urllib3"]
 dev = ["dpkt", "pytest", "requests"]
 examples = ["oauth2"]
 
+[[package]]
+name = "gitdb"
+version = "4.0.11"
+description = "Git Object Database"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "gitdb-4.0.11-py3-none-any.whl", hash = "sha256:81a3407ddd2ee8df444cbacea00e2d038e40150acfa3001696fe0dcf1d3adfa4"},
+    {file = "gitdb-4.0.11.tar.gz", hash = "sha256:bf5421126136d6d0af55bc1e7c1af1c397a34f5b7bd79e776cd3e89785c2b04b"},
+]
+
+[package.dependencies]
+smmap = ">=3.0.1,<6"
+
+[[package]]
+name = "gitpython"
+version = "3.1.43"
+description = "GitPython is a Python library used to interact with Git repositories"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "GitPython-3.1.43-py3-none-any.whl", hash = "sha256:eec7ec56b92aad751f9912a73404bc02ba212a23adb2c7098ee668417051a1ff"},
+    {file = "GitPython-3.1.43.tar.gz", hash = "sha256:35f314a9f878467f5453cc1fee295c3e18e52f1b99f10f6cf5b1682e968a9e7c"},
+]
+
+[package.dependencies]
+gitdb = ">=4.0.1,<5"
+
+[package.extras]
+doc = ["sphinx (==4.3.2)", "sphinx-autodoc-typehints", "sphinx-rtd-theme", "sphinxcontrib-applehelp (>=1.0.2,<=1.0.4)", "sphinxcontrib-devhelp (==1.0.2)", "sphinxcontrib-htmlhelp (>=2.0.0,<=2.0.1)", "sphinxcontrib-qthelp (==1.0.3)", "sphinxcontrib-serializinghtml (==1.1.5)"]
+test = ["coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock", "mypy", "pre-commit", "pytest (>=7.3.1)", "pytest-cov", "pytest-instafail", "pytest-mock", "pytest-sugar", "typing-extensions"]
+
 [[package]]
 name = "google-ai-generativelanguage"
-version = "0.4.0"
+version = "0.6.4"
 description = "Google Ai Generativelanguage API client library"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google-ai-generativelanguage-0.4.0.tar.gz", hash = "sha256:c8199066c08f74c4e91290778329bb9f357ba1ea5d6f82de2bc0d10552bf4f8c"},
-    {file = "google_ai_generativelanguage-0.4.0-py3-none-any.whl", hash = "sha256:e4c425376c1ee26c78acbc49a24f735f90ebfa81bf1a06495fae509a2433232c"},
+    {file = "google-ai-generativelanguage-0.6.4.tar.gz", hash = "sha256:1750848c12af96cb24ae1c3dd05e4bfe24867dc4577009ed03e1042d8421e874"},
+    {file = "google_ai_generativelanguage-0.6.4-py3-none-any.whl", hash = "sha256:730e471aa549797118fb1c88421ba1957741433ada575cf5dd08d3aebf903ab1"},
 ]
 
 [package.dependencies]
-google-api-core = {version = ">=1.34.0,<2.0.dev0 || >=2.11.dev0,<3.0.0dev", extras = ["grpc"]}
+google-api-core = {version = ">=1.34.1,<2.0.dev0 || >=2.11.dev0,<3.0.0dev", extras = ["grpc"]}
+google-auth = ">=2.14.1,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0dev"
 proto-plus = ">=1.22.3,<2.0.0dev"
 protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0dev"
 
@@ -2167,13 +2610,13 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 
 [[package]]
 name = "google-api-python-client"
-version = "2.128.0"
+version = "2.134.0"
 description = "Google API Client Library for Python"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google-api-python-client-2.128.0.tar.gz", hash = "sha256:908af182dfc1cd79412a489b37fe45e4f3cc99c74e80c7c477ca5babaa54eea5"},
-    {file = "google_api_python_client-2.128.0-py2.py3-none-any.whl", hash = "sha256:99da6acb0acc648e309102b0e0262d7fef30f07f6bf56c6eeaa0504ceca113e3"},
+    {file = "google-api-python-client-2.134.0.tar.gz", hash = "sha256:4a8f0bea651a212997cc83c0f271fc86f80ef93d1cee9d84de7dfaeef2a858b6"},
+    {file = "google_api_python_client-2.134.0-py2.py3-none-any.whl", hash = "sha256:ba05d60f6239990b7994f6328f17bb154c602d31860fb553016dc9f8ce886945"},
 ]
 
 [package.dependencies]
@@ -2185,13 +2628,13 @@ uritemplate = ">=3.0.1,<5"
 
 [[package]]
 name = "google-auth"
-version = "2.29.0"
+version = "2.30.0"
 description = "Google Authentication Library"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google-auth-2.29.0.tar.gz", hash = "sha256:672dff332d073227550ffc7457868ac4218d6c500b155fe6cc17d2b13602c360"},
-    {file = "google_auth-2.29.0-py2.py3-none-any.whl", hash = "sha256:d452ad095688cd52bae0ad6fafe027f6a6d6f560e810fec20914e17a09526415"},
+    {file = "google-auth-2.30.0.tar.gz", hash = "sha256:ab630a1320f6720909ad76a7dbdb6841cdf5c66b328d690027e4867bdfb16688"},
+    {file = "google_auth-2.30.0-py2.py3-none-any.whl", hash = "sha256:8df7da660f62757388b8a7f249df13549b3373f24388cb5d2f1dd91cc18180b5"},
 ]
 
 [package.dependencies]
@@ -2223,13 +2666,13 @@ httplib2 = ">=0.19.0"
 
 [[package]]
 name = "google-cloud-aiplatform"
-version = "1.50.0"
+version = "1.56.0"
 description = "Vertex AI API client library"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "google-cloud-aiplatform-1.50.0.tar.gz", hash = "sha256:f9f7cc76dbaad3905408fd07d6322caa6c4cd60a0330e4b15de66033c6598cc6"},
-    {file = "google_cloud_aiplatform-1.50.0-py2.py3-none-any.whl", hash = "sha256:6aa8246086252fe01d3438cd6566561147405a09611cf03f082be197c77b8197"},
+    {file = "google-cloud-aiplatform-1.56.0.tar.gz", hash = "sha256:d4cfb085427dac01142915f523949ac2955d6c7f148d95017d3286a77caf5d5e"},
+    {file = "google_cloud_aiplatform-1.56.0-py2.py3-none-any.whl", hash = "sha256:ee1ab3bd115c3caebf8ddfd3e47eeb8396a3ec2fc5f5baf1a5c295c8d64333ab"},
 ]
 
 [package.dependencies]
@@ -2250,9 +2693,9 @@ autologging = ["mlflow (>=1.27.0,<=2.1.1)"]
 cloud-profiler = ["tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "werkzeug (>=2.0.0,<2.1.0dev)"]
 datasets = ["pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)"]
 endpoint = ["requests (>=2.28.1)"]
-full = ["cloudpickle (<3.0)", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<=0.109.1)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-cloud-logging (<4.0)", "google-vizier (>=0.1.6)", "httpx (>=0.23.0,<0.25.0)", "immutabledict", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "nest-asyncio (>=1.0.0,<1.6.0)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pyyaml (>=5.3.1,<7)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)", "requests (>=2.28.1)", "starlette (>=0.17.1)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)"]
-langchain = ["langchain (>=0.1.13,<0.2)", "langchain-core (<0.2)", "langchain-google-vertexai (<0.2)"]
-langchain-testing = ["absl-py", "cloudpickle (>=2.2.1,<3.0)", "langchain (>=0.1.13,<0.2)", "langchain-core (<0.2)", "langchain-google-vertexai (<0.2)", "pydantic (>=2.6.3,<3)", "pytest-xdist"]
+full = ["cloudpickle (<3.0)", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<=0.109.1)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-cloud-logging (<4.0)", "google-vizier (>=0.1.6)", "httpx (>=0.23.0,<0.25.0)", "immutabledict", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "nest-asyncio (>=1.0.0,<1.6.0)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pyyaml (>=5.3.1,<7)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)", "requests (>=2.28.1)", "setuptools (<70.0.0)", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)"]
+langchain = ["langchain (>=0.1.16,<0.3)", "langchain-core (<0.2)", "langchain-google-vertexai (<2)", "openinference-instrumentation-langchain (>=0.1.19,<0.2)", "tenacity (<=8.3)"]
+langchain-testing = ["absl-py", "cloudpickle (>=3.0,<4.0)", "langchain (>=0.1.16,<0.3)", "langchain-core (<0.2)", "langchain-google-vertexai (<2)", "openinference-instrumentation-langchain (>=0.1.19,<0.2)", "opentelemetry-exporter-gcp-trace (<2)", "opentelemetry-sdk (<2)", "pydantic (>=2.6.3,<3)", "pytest-xdist", "tenacity (<=8.3)"]
 lit = ["explainable-ai-sdk (>=1.0.0)", "lit-nlp (==0.4.0)", "pandas (>=1.0.0)", "tensorflow (>=2.3.0,<3.0.0dev)"]
 metadata = ["numpy (>=1.15.0)", "pandas (>=1.0.0)"]
 pipelines = ["pyyaml (>=5.3.1,<7)"]
@@ -2260,23 +2703,23 @@ prediction = ["docker (>=5.0.3)", "fastapi (>=0.71.0,<=0.109.1)", "httpx (>=0.23
 preview = ["cloudpickle (<3.0)", "google-cloud-logging (<4.0)"]
 private-endpoints = ["requests (>=2.28.1)", "urllib3 (>=1.21.1,<1.27)"]
 rapid-evaluation = ["nest-asyncio (>=1.0.0,<1.6.0)", "pandas (>=1.0.0,<2.2.0)"]
-ray = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=6.0.1)", "pydantic (<2)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)"]
-ray-testing = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pytest-xdist", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)", "ray[train] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "scikit-learn", "tensorflow", "torch (>=2.0.0,<2.1.0)", "xgboost", "xgboost-ray"]
-reasoningengine = ["cloudpickle (>=2.2.1,<3.0)", "pydantic (>=2.6.3,<3)"]
-tensorboard = ["tensorflow (>=2.3.0,<3.0.0dev)"]
-testing = ["bigframes", "cloudpickle (<3.0)", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<=0.109.1)", "google-api-core (>=2.11,<3.0.0)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-cloud-logging (<4.0)", "google-vizier (>=0.1.6)", "grpcio-testing", "httpx (>=0.23.0,<0.25.0)", "immutabledict", "ipython", "kfp (>=2.6.0,<3.0.0)", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "nest-asyncio (>=1.0.0,<1.6.0)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pyfakefs", "pytest-asyncio", "pytest-xdist", "pyyaml (>=5.3.1,<7)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)", "requests (>=2.28.1)", "requests-toolbelt (<1.0.0)", "scikit-learn", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (==2.13.0)", "tensorflow (==2.16.1)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "torch (>=2.0.0,<2.1.0)", "torch (>=2.2.0)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)", "xgboost"]
+ray = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=6.0.1)", "pydantic (<2)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)", "setuptools (<70.0.0)"]
+ray-testing = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pytest-xdist", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)", "ray[train] (==2.9.3)", "scikit-learn", "setuptools (<70.0.0)", "tensorflow", "torch (>=2.0.0,<2.1.0)", "xgboost", "xgboost-ray"]
+reasoningengine = ["cloudpickle (>=3.0,<4.0)", "opentelemetry-exporter-gcp-trace (<2)", "opentelemetry-sdk (<2)", "pydantic (>=2.6.3,<3)"]
+tensorboard = ["tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "werkzeug (>=2.0.0,<2.1.0dev)"]
+testing = ["bigframes", "cloudpickle (<3.0)", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<=0.109.1)", "google-api-core (>=2.11,<3.0.0)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-cloud-logging (<4.0)", "google-vizier (>=0.1.6)", "grpcio-testing", "httpx (>=0.23.0,<0.25.0)", "immutabledict", "ipython", "kfp (>=2.6.0,<3.0.0)", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "nest-asyncio (>=1.0.0,<1.6.0)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pyfakefs", "pytest-asyncio", "pytest-xdist", "pyyaml (>=5.3.1,<7)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)", "requests (>=2.28.1)", "requests-toolbelt (<1.0.0)", "scikit-learn", "setuptools (<70.0.0)", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (==2.13.0)", "tensorflow (==2.16.1)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "torch (>=2.0.0,<2.1.0)", "torch (>=2.2.0)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)", "xgboost"]
 vizier = ["google-vizier (>=0.1.6)"]
 xai = ["tensorflow (>=2.3.0,<3.0.0dev)"]
 
 [[package]]
 name = "google-cloud-bigquery"
-version = "3.22.0"
+version = "3.25.0"
 description = "Google BigQuery API client library"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google-cloud-bigquery-3.22.0.tar.gz", hash = "sha256:957591e6f948d7cb4aa0f7a8e4e47b4617cd7f0269e28a71c37953c39b6e8a4c"},
-    {file = "google_cloud_bigquery-3.22.0-py2.py3-none-any.whl", hash = "sha256:80c8e31a23b68b7d3ae5d138c9a9edff69d100ee812db73a5e63c79a13a5063d"},
+    {file = "google-cloud-bigquery-3.25.0.tar.gz", hash = "sha256:5b2aff3205a854481117436836ae1403f11f2594e6810a98886afd57eda28509"},
+    {file = "google_cloud_bigquery-3.25.0-py2.py3-none-any.whl", hash = "sha256:7f0c371bc74d2a7fb74dacbc00ac0f90c8c2bec2289b51dd6685a275873b1ce9"},
 ]
 
 [package.dependencies]
@@ -2337,13 +2780,13 @@ protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4
 
 [[package]]
 name = "google-cloud-storage"
-version = "2.16.0"
+version = "2.17.0"
 description = "Google Cloud Storage API client library"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google-cloud-storage-2.16.0.tar.gz", hash = "sha256:dda485fa503710a828d01246bd16ce9db0823dc51bbca742ce96a6817d58669f"},
-    {file = "google_cloud_storage-2.16.0-py2.py3-none-any.whl", hash = "sha256:91a06b96fb79cf9cdfb4e759f178ce11ea885c79938f89590344d079305f5852"},
+    {file = "google-cloud-storage-2.17.0.tar.gz", hash = "sha256:49378abff54ef656b52dca5ef0f2eba9aa83dc2b2c72c78714b03a1a95fe9388"},
+    {file = "google_cloud_storage-2.17.0-py2.py3-none-any.whl", hash = "sha256:5b393bc766b7a3bc6f5407b9e665b2450d36282614b7945e570b3480a456d1e1"},
 ]
 
 [package.dependencies]
@@ -2439,19 +2882,21 @@ testing = ["pytest"]
 
 [[package]]
 name = "google-generativeai"
-version = "0.3.2"
+version = "0.5.4"
 description = "Google Generative AI High level API client library and tools."
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "google_generativeai-0.3.2-py3-none-any.whl", hash = "sha256:8761147e6e167141932dc14a7b7af08f2310dd56668a78d206c19bb8bd85bcd7"},
+    {file = "google_generativeai-0.5.4-py3-none-any.whl", hash = "sha256:036d63ee35e7c8aedceda4f81c390a5102808af09ff3a6e57e27ed0be0708f3c"},
 ]
 
 [package.dependencies]
-google-ai-generativelanguage = "0.4.0"
+google-ai-generativelanguage = "0.6.4"
 google-api-core = "*"
-google-auth = "*"
+google-api-python-client = "*"
+google-auth = ">=2.15.0"
 protobuf = "*"
+pydantic = "*"
 tqdm = "*"
 typing-extensions = "*"
 
@@ -2460,13 +2905,13 @@ dev = ["Pillow", "absl-py", "black", "ipython", "nose2", "pandas", "pytype", "py
 
 [[package]]
 name = "google-resumable-media"
-version = "2.7.0"
+version = "2.7.1"
 description = "Utilities for Google Media Downloads and Resumable Uploads"
 optional = false
-python-versions = ">= 3.7"
+python-versions = ">=3.7"
 files = [
-    {file = "google-resumable-media-2.7.0.tar.gz", hash = "sha256:5f18f5fa9836f4b083162064a1c2c98c17239bfda9ca50ad970ccf905f3e625b"},
-    {file = "google_resumable_media-2.7.0-py2.py3-none-any.whl", hash = "sha256:79543cfe433b63fd81c0844b7803aba1bb8950b47bedf7d980c38fa123937e08"},
+    {file = "google-resumable-media-2.7.1.tar.gz", hash = "sha256:eae451a7b2e2cdbaaa0fd2eb00cc8a1ee5e95e16b55597359cbc3d27d7d90e33"},
+    {file = "google_resumable_media-2.7.1-py2.py3-none-any.whl", hash = "sha256:103ebc4ba331ab1bfdac0250f8033627a2cd7cde09e7ccff9181e31ba4315b2c"},
 ]
 
 [package.dependencies]
@@ -2491,37 +2936,48 @@ requests = "*"
 
 [[package]]
 name = "googleapis-common-protos"
-version = "1.63.0"
+version = "1.63.1"
 description = "Common protobufs used in Google APIs"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "googleapis-common-protos-1.63.0.tar.gz", hash = "sha256:17ad01b11d5f1d0171c06d3ba5c04c54474e883b66b949722b4938ee2694ef4e"},
-    {file = "googleapis_common_protos-1.63.0-py2.py3-none-any.whl", hash = "sha256:ae45f75702f7c08b541f750854a678bd8f534a1a6bace6afe975f1d0a82d6632"},
+    {file = "googleapis-common-protos-1.63.1.tar.gz", hash = "sha256:c6442f7a0a6b2a80369457d79e6672bb7dcbaab88e0848302497e3ec80780a6a"},
+    {file = "googleapis_common_protos-1.63.1-py2.py3-none-any.whl", hash = "sha256:0e1c2cdfcbc354b76e4a211a35ea35d6926a835cba1377073c4861db904a1877"},
 ]
 
 [package.dependencies]
 grpcio = {version = ">=1.44.0,<2.0.0.dev0", optional = true, markers = "extra == \"grpc\""}
-protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0.dev0"
+protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0.dev0"
 
 [package.extras]
 grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
 
 [[package]]
 name = "gotrue"
-version = "2.4.2"
+version = "2.5.4"
 description = "Python Client Library for Supabase Auth"
 optional = false
 python-versions = "<4.0,>=3.8"
 files = [
-    {file = "gotrue-2.4.2-py3-none-any.whl", hash = "sha256:64cd40933d1f0a5d5cc4f4bd93bc51d730b94812447b6600f774790a4901e455"},
-    {file = "gotrue-2.4.2.tar.gz", hash = "sha256:e100745161f1c58dd05b9c1ef8bcd4cd78cdfb38d8d2c253ade63143a3dc6aeb"},
+    {file = "gotrue-2.5.4-py3-none-any.whl", hash = "sha256:6f45003bc73cdee612a2d0be79cffed39c91cc8ad43a7440c02c320c7ad03a8e"},
+    {file = "gotrue-2.5.4.tar.gz", hash = "sha256:acf0644a2e5d1bd70f66452361bfea4ba9621a0354a13154a333671a4c751c53"},
 ]
 
 [package.dependencies]
 httpx = ">=0.23,<0.28"
 pydantic = ">=1.10,<3"
 
+[[package]]
+name = "gprof2dot"
+version = "2024.6.6"
+description = "Generate a dot graph from the output of several profilers."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "gprof2dot-2024.6.6-py2.py3-none-any.whl", hash = "sha256:45b14ad7ce64e299c8f526881007b9eb2c6b75505d5613e96e66ee4d5ab33696"},
+    {file = "gprof2dot-2024.6.6.tar.gz", hash = "sha256:fa1420c60025a9eb7734f65225b4da02a10fc6dd741b37fa129bc6b41951e5ab"},
+]
+
 [[package]]
 name = "greenlet"
 version = "3.0.3"
@@ -2594,78 +3050,97 @@ docs = ["Sphinx", "furo"]
 test = ["objgraph", "psutil"]
 
 [[package]]
-name = "grpc-google-iam-v1"
-version = "0.13.0"
-description = "IAM API client library"
+name = "groq"
+version = "0.9.0"
+description = "The official Python library for the groq API"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "grpc-google-iam-v1-0.13.0.tar.gz", hash = "sha256:fad318608b9e093258fbf12529180f400d1c44453698a33509cc6ecf005b294e"},
-    {file = "grpc_google_iam_v1-0.13.0-py2.py3-none-any.whl", hash = "sha256:53902e2af7de8df8c1bd91373d9be55b0743ec267a7428ea638db3775becae89"},
+    {file = "groq-0.9.0-py3-none-any.whl", hash = "sha256:d0e46f4ad645504672bb09c8100af3ced3a7db0d5119dc13e4aca535fc455874"},
+    {file = "groq-0.9.0.tar.gz", hash = "sha256:130ed5e35d3acfaab46b9e7a078eeaebf91052f4a9d71f86f87fb319b5fec332"},
 ]
 
 [package.dependencies]
-googleapis-common-protos = {version = ">=1.56.0,<2.0.0dev", extras = ["grpc"]}
-grpcio = ">=1.44.0,<2.0.0dev"
+anyio = ">=3.5.0,<5"
+distro = ">=1.7.0,<2"
+httpx = ">=0.23.0,<1"
+pydantic = ">=1.9.0,<3"
+sniffio = "*"
+typing-extensions = ">=4.7,<5"
+
+[[package]]
+name = "grpc-google-iam-v1"
+version = "0.13.0"
+description = "IAM API client library"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "grpc-google-iam-v1-0.13.0.tar.gz", hash = "sha256:fad318608b9e093258fbf12529180f400d1c44453698a33509cc6ecf005b294e"},
+    {file = "grpc_google_iam_v1-0.13.0-py2.py3-none-any.whl", hash = "sha256:53902e2af7de8df8c1bd91373d9be55b0743ec267a7428ea638db3775becae89"},
+]
+
+[package.dependencies]
+googleapis-common-protos = {version = ">=1.56.0,<2.0.0dev", extras = ["grpc"]}
+grpcio = ">=1.44.0,<2.0.0dev"
 protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0dev"
 
 [[package]]
 name = "grpcio"
-version = "1.63.0"
+version = "1.64.1"
 description = "HTTP/2-based RPC framework"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "grpcio-1.63.0-cp310-cp310-linux_armv7l.whl", hash = "sha256:2e93aca840c29d4ab5db93f94ed0a0ca899e241f2e8aec6334ab3575dc46125c"},
-    {file = "grpcio-1.63.0-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:91b73d3f1340fefa1e1716c8c1ec9930c676d6b10a3513ab6c26004cb02d8b3f"},
-    {file = "grpcio-1.63.0-cp310-cp310-manylinux_2_17_aarch64.whl", hash = "sha256:b3afbd9d6827fa6f475a4f91db55e441113f6d3eb9b7ebb8fb806e5bb6d6bd0d"},
-    {file = "grpcio-1.63.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8f3f6883ce54a7a5f47db43289a0a4c776487912de1a0e2cc83fdaec9685cc9f"},
-    {file = "grpcio-1.63.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cf8dae9cc0412cb86c8de5a8f3be395c5119a370f3ce2e69c8b7d46bb9872c8d"},
-    {file = "grpcio-1.63.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:08e1559fd3b3b4468486b26b0af64a3904a8dbc78d8d936af9c1cf9636eb3e8b"},
-    {file = "grpcio-1.63.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:5c039ef01516039fa39da8a8a43a95b64e288f79f42a17e6c2904a02a319b357"},
-    {file = "grpcio-1.63.0-cp310-cp310-win32.whl", hash = "sha256:ad2ac8903b2eae071055a927ef74121ed52d69468e91d9bcbd028bd0e554be6d"},
-    {file = "grpcio-1.63.0-cp310-cp310-win_amd64.whl", hash = "sha256:b2e44f59316716532a993ca2966636df6fbe7be4ab6f099de6815570ebe4383a"},
-    {file = "grpcio-1.63.0-cp311-cp311-linux_armv7l.whl", hash = "sha256:f28f8b2db7b86c77916829d64ab21ff49a9d8289ea1564a2b2a3a8ed9ffcccd3"},
-    {file = "grpcio-1.63.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:65bf975639a1f93bee63ca60d2e4951f1b543f498d581869922910a476ead2f5"},
-    {file = "grpcio-1.63.0-cp311-cp311-manylinux_2_17_aarch64.whl", hash = "sha256:b5194775fec7dc3dbd6a935102bb156cd2c35efe1685b0a46c67b927c74f0cfb"},
-    {file = "grpcio-1.63.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e4cbb2100ee46d024c45920d16e888ee5d3cf47c66e316210bc236d5bebc42b3"},
-    {file = "grpcio-1.63.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1ff737cf29b5b801619f10e59b581869e32f400159e8b12d7a97e7e3bdeee6a2"},
-    {file = "grpcio-1.63.0-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:cd1e68776262dd44dedd7381b1a0ad09d9930ffb405f737d64f505eb7f77d6c7"},
-    {file = "grpcio-1.63.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:93f45f27f516548e23e4ec3fbab21b060416007dbe768a111fc4611464cc773f"},
-    {file = "grpcio-1.63.0-cp311-cp311-win32.whl", hash = "sha256:878b1d88d0137df60e6b09b74cdb73db123f9579232c8456f53e9abc4f62eb3c"},
-    {file = "grpcio-1.63.0-cp311-cp311-win_amd64.whl", hash = "sha256:756fed02dacd24e8f488f295a913f250b56b98fb793f41d5b2de6c44fb762434"},
-    {file = "grpcio-1.63.0-cp312-cp312-linux_armv7l.whl", hash = "sha256:93a46794cc96c3a674cdfb59ef9ce84d46185fe9421baf2268ccb556f8f81f57"},
-    {file = "grpcio-1.63.0-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:a7b19dfc74d0be7032ca1eda0ed545e582ee46cd65c162f9e9fc6b26ef827dc6"},
-    {file = "grpcio-1.63.0-cp312-cp312-manylinux_2_17_aarch64.whl", hash = "sha256:8064d986d3a64ba21e498b9a376cbc5d6ab2e8ab0e288d39f266f0fca169b90d"},
-    {file = "grpcio-1.63.0-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:219bb1848cd2c90348c79ed0a6b0ea51866bc7e72fa6e205e459fedab5770172"},
-    {file = "grpcio-1.63.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a2d60cd1d58817bc5985fae6168d8b5655c4981d448d0f5b6194bbcc038090d2"},
-    {file = "grpcio-1.63.0-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:9e350cb096e5c67832e9b6e018cf8a0d2a53b2a958f6251615173165269a91b0"},
-    {file = "grpcio-1.63.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:56cdf96ff82e3cc90dbe8bac260352993f23e8e256e063c327b6cf9c88daf7a9"},
-    {file = "grpcio-1.63.0-cp312-cp312-win32.whl", hash = "sha256:3a6d1f9ea965e750db7b4ee6f9fdef5fdf135abe8a249e75d84b0a3e0c668a1b"},
-    {file = "grpcio-1.63.0-cp312-cp312-win_amd64.whl", hash = "sha256:d2497769895bb03efe3187fb1888fc20e98a5f18b3d14b606167dacda5789434"},
-    {file = "grpcio-1.63.0-cp38-cp38-linux_armv7l.whl", hash = "sha256:fdf348ae69c6ff484402cfdb14e18c1b0054ac2420079d575c53a60b9b2853ae"},
-    {file = "grpcio-1.63.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:a3abfe0b0f6798dedd2e9e92e881d9acd0fdb62ae27dcbbfa7654a57e24060c0"},
-    {file = "grpcio-1.63.0-cp38-cp38-manylinux_2_17_aarch64.whl", hash = "sha256:6ef0ad92873672a2a3767cb827b64741c363ebaa27e7f21659e4e31f4d750280"},
-    {file = "grpcio-1.63.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b416252ac5588d9dfb8a30a191451adbf534e9ce5f56bb02cd193f12d8845b7f"},
-    {file = "grpcio-1.63.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e3b77eaefc74d7eb861d3ffbdf91b50a1bb1639514ebe764c47773b833fa2d91"},
-    {file = "grpcio-1.63.0-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:b005292369d9c1f80bf70c1db1c17c6c342da7576f1c689e8eee4fb0c256af85"},
-    {file = "grpcio-1.63.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:cdcda1156dcc41e042d1e899ba1f5c2e9f3cd7625b3d6ebfa619806a4c1aadda"},
-    {file = "grpcio-1.63.0-cp38-cp38-win32.whl", hash = "sha256:01799e8649f9e94ba7db1aeb3452188048b0019dc37696b0f5ce212c87c560c3"},
-    {file = "grpcio-1.63.0-cp38-cp38-win_amd64.whl", hash = "sha256:6a1a3642d76f887aa4009d92f71eb37809abceb3b7b5a1eec9c554a246f20e3a"},
-    {file = "grpcio-1.63.0-cp39-cp39-linux_armv7l.whl", hash = "sha256:75f701ff645858a2b16bc8c9fc68af215a8bb2d5a9b647448129de6e85d52bce"},
-    {file = "grpcio-1.63.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:cacdef0348a08e475a721967f48206a2254a1b26ee7637638d9e081761a5ba86"},
-    {file = "grpcio-1.63.0-cp39-cp39-manylinux_2_17_aarch64.whl", hash = "sha256:0697563d1d84d6985e40ec5ec596ff41b52abb3fd91ec240e8cb44a63b895094"},
-    {file = "grpcio-1.63.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6426e1fb92d006e47476d42b8f240c1d916a6d4423c5258ccc5b105e43438f61"},
-    {file = "grpcio-1.63.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e48cee31bc5f5a31fb2f3b573764bd563aaa5472342860edcc7039525b53e46a"},
-    {file = "grpcio-1.63.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:50344663068041b34a992c19c600236e7abb42d6ec32567916b87b4c8b8833b3"},
-    {file = "grpcio-1.63.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:259e11932230d70ef24a21b9fb5bb947eb4703f57865a404054400ee92f42f5d"},
-    {file = "grpcio-1.63.0-cp39-cp39-win32.whl", hash = "sha256:a44624aad77bf8ca198c55af811fd28f2b3eaf0a50ec5b57b06c034416ef2d0a"},
-    {file = "grpcio-1.63.0-cp39-cp39-win_amd64.whl", hash = "sha256:166e5c460e5d7d4656ff9e63b13e1f6029b122104c1633d5f37eaea348d7356d"},
-    {file = "grpcio-1.63.0.tar.gz", hash = "sha256:f3023e14805c61bc439fb40ca545ac3d5740ce66120a678a3c6c2c55b70343d1"},
-]
-
-[package.extras]
-protobuf = ["grpcio-tools (>=1.63.0)"]
+    {file = "grpcio-1.64.1-cp310-cp310-linux_armv7l.whl", hash = "sha256:55697ecec192bc3f2f3cc13a295ab670f51de29884ca9ae6cd6247df55df2502"},
+    {file = "grpcio-1.64.1-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:3b64ae304c175671efdaa7ec9ae2cc36996b681eb63ca39c464958396697daff"},
+    {file = "grpcio-1.64.1-cp310-cp310-manylinux_2_17_aarch64.whl", hash = "sha256:bac71b4b28bc9af61efcdc7630b166440bbfbaa80940c9a697271b5e1dabbc61"},
+    {file = "grpcio-1.64.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6c024ffc22d6dc59000faf8ad781696d81e8e38f4078cb0f2630b4a3cf231a90"},
+    {file = "grpcio-1.64.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e7cd5c1325f6808b8ae31657d281aadb2a51ac11ab081ae335f4f7fc44c1721d"},
+    {file = "grpcio-1.64.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:0a2813093ddb27418a4c99f9b1c223fab0b053157176a64cc9db0f4557b69bd9"},
+    {file = "grpcio-1.64.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:2981c7365a9353f9b5c864595c510c983251b1ab403e05b1ccc70a3d9541a73b"},
+    {file = "grpcio-1.64.1-cp310-cp310-win32.whl", hash = "sha256:1262402af5a511c245c3ae918167eca57342c72320dffae5d9b51840c4b2f86d"},
+    {file = "grpcio-1.64.1-cp310-cp310-win_amd64.whl", hash = "sha256:19264fc964576ddb065368cae953f8d0514ecc6cb3da8903766d9fb9d4554c33"},
+    {file = "grpcio-1.64.1-cp311-cp311-linux_armv7l.whl", hash = "sha256:58b1041e7c870bb30ee41d3090cbd6f0851f30ae4eb68228955d973d3efa2e61"},
+    {file = "grpcio-1.64.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:bbc5b1d78a7822b0a84c6f8917faa986c1a744e65d762ef6d8be9d75677af2ca"},
+    {file = "grpcio-1.64.1-cp311-cp311-manylinux_2_17_aarch64.whl", hash = "sha256:5841dd1f284bd1b3d8a6eca3a7f062b06f1eec09b184397e1d1d43447e89a7ae"},
+    {file = "grpcio-1.64.1-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8caee47e970b92b3dd948371230fcceb80d3f2277b3bf7fbd7c0564e7d39068e"},
+    {file = "grpcio-1.64.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:73819689c169417a4f978e562d24f2def2be75739c4bed1992435d007819da1b"},
+    {file = "grpcio-1.64.1-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:6503b64c8b2dfad299749cad1b595c650c91e5b2c8a1b775380fcf8d2cbba1e9"},
+    {file = "grpcio-1.64.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:1de403fc1305fd96cfa75e83be3dee8538f2413a6b1685b8452301c7ba33c294"},
+    {file = "grpcio-1.64.1-cp311-cp311-win32.whl", hash = "sha256:d4d29cc612e1332237877dfa7fe687157973aab1d63bd0f84cf06692f04c0367"},
+    {file = "grpcio-1.64.1-cp311-cp311-win_amd64.whl", hash = "sha256:5e56462b05a6f860b72f0fa50dca06d5b26543a4e88d0396259a07dc30f4e5aa"},
+    {file = "grpcio-1.64.1-cp312-cp312-linux_armv7l.whl", hash = "sha256:4657d24c8063e6095f850b68f2d1ba3b39f2b287a38242dcabc166453e950c59"},
+    {file = "grpcio-1.64.1-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:62b4e6eb7bf901719fce0ca83e3ed474ae5022bb3827b0a501e056458c51c0a1"},
+    {file = "grpcio-1.64.1-cp312-cp312-manylinux_2_17_aarch64.whl", hash = "sha256:ee73a2f5ca4ba44fa33b4d7d2c71e2c8a9e9f78d53f6507ad68e7d2ad5f64a22"},
+    {file = "grpcio-1.64.1-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:198908f9b22e2672a998870355e226a725aeab327ac4e6ff3a1399792ece4762"},
+    {file = "grpcio-1.64.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:39b9d0acaa8d835a6566c640f48b50054f422d03e77e49716d4c4e8e279665a1"},
+    {file = "grpcio-1.64.1-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:5e42634a989c3aa6049f132266faf6b949ec2a6f7d302dbb5c15395b77d757eb"},
+    {file = "grpcio-1.64.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:b1a82e0b9b3022799c336e1fc0f6210adc019ae84efb7321d668129d28ee1efb"},
+    {file = "grpcio-1.64.1-cp312-cp312-win32.whl", hash = "sha256:55260032b95c49bee69a423c2f5365baa9369d2f7d233e933564d8a47b893027"},
+    {file = "grpcio-1.64.1-cp312-cp312-win_amd64.whl", hash = "sha256:c1a786ac592b47573a5bb7e35665c08064a5d77ab88a076eec11f8ae86b3e3f6"},
+    {file = "grpcio-1.64.1-cp38-cp38-linux_armv7l.whl", hash = "sha256:a011ac6c03cfe162ff2b727bcb530567826cec85eb8d4ad2bfb4bd023287a52d"},
+    {file = "grpcio-1.64.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:4d6dab6124225496010bd22690f2d9bd35c7cbb267b3f14e7a3eb05c911325d4"},
+    {file = "grpcio-1.64.1-cp38-cp38-manylinux_2_17_aarch64.whl", hash = "sha256:a5e771d0252e871ce194d0fdcafd13971f1aae0ddacc5f25615030d5df55c3a2"},
+    {file = "grpcio-1.64.1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2c3c1b90ab93fed424e454e93c0ed0b9d552bdf1b0929712b094f5ecfe7a23ad"},
+    {file = "grpcio-1.64.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:20405cb8b13fd779135df23fabadc53b86522d0f1cba8cca0e87968587f50650"},
+    {file = "grpcio-1.64.1-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:0cc79c982ccb2feec8aad0e8fb0d168bcbca85bc77b080d0d3c5f2f15c24ea8f"},
+    {file = "grpcio-1.64.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:a3a035c37ce7565b8f4f35ff683a4db34d24e53dc487e47438e434eb3f701b2a"},
+    {file = "grpcio-1.64.1-cp38-cp38-win32.whl", hash = "sha256:1257b76748612aca0f89beec7fa0615727fd6f2a1ad580a9638816a4b2eb18fd"},
+    {file = "grpcio-1.64.1-cp38-cp38-win_amd64.whl", hash = "sha256:0a12ddb1678ebc6a84ec6b0487feac020ee2b1659cbe69b80f06dbffdb249122"},
+    {file = "grpcio-1.64.1-cp39-cp39-linux_armv7l.whl", hash = "sha256:75dbbf415026d2862192fe1b28d71f209e2fd87079d98470db90bebe57b33179"},
+    {file = "grpcio-1.64.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:e3d9f8d1221baa0ced7ec7322a981e28deb23749c76eeeb3d33e18b72935ab62"},
+    {file = "grpcio-1.64.1-cp39-cp39-manylinux_2_17_aarch64.whl", hash = "sha256:5f8b75f64d5d324c565b263c67dbe4f0af595635bbdd93bb1a88189fc62ed2e5"},
+    {file = "grpcio-1.64.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c84ad903d0d94311a2b7eea608da163dace97c5fe9412ea311e72c3684925602"},
+    {file = "grpcio-1.64.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:940e3ec884520155f68a3b712d045e077d61c520a195d1a5932c531f11883489"},
+    {file = "grpcio-1.64.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:f10193c69fc9d3d726e83bbf0f3d316f1847c3071c8c93d8090cf5f326b14309"},
+    {file = "grpcio-1.64.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:ac15b6c2c80a4d1338b04d42a02d376a53395ddf0ec9ab157cbaf44191f3ffdd"},
+    {file = "grpcio-1.64.1-cp39-cp39-win32.whl", hash = "sha256:03b43d0ccf99c557ec671c7dede64f023c7da9bb632ac65dbc57f166e4970040"},
+    {file = "grpcio-1.64.1-cp39-cp39-win_amd64.whl", hash = "sha256:ed6091fa0adcc7e4ff944090cf203a52da35c37a130efa564ded02b7aff63bcd"},
+    {file = "grpcio-1.64.1.tar.gz", hash = "sha256:8d51dd1c59d5fa0f34266b80a3805ec29a1f26425c2a54736133f6d87fc4968a"},
+]
+
+[package.extras]
+protobuf = ["grpcio-tools (>=1.64.1)"]
 
 [[package]]
 name = "grpcio-health-checking"
@@ -2768,22 +3243,23 @@ setuptools = "*"
 
 [[package]]
 name = "gunicorn"
-version = "21.2.0"
+version = "22.0.0"
 description = "WSGI HTTP Server for UNIX"
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.7"
 files = [
-    {file = "gunicorn-21.2.0-py3-none-any.whl", hash = "sha256:3213aa5e8c24949e792bcacfc176fef362e7aac80b76c56f6b5122bf350722f0"},
-    {file = "gunicorn-21.2.0.tar.gz", hash = "sha256:88ec8bff1d634f98e61b9f65bc4bf3cd918a90806c6f5c48bc5603849ec81033"},
+    {file = "gunicorn-22.0.0-py3-none-any.whl", hash = "sha256:350679f91b24062c86e386e198a15438d53a7a8207235a78ba1b53df4c4378d9"},
+    {file = "gunicorn-22.0.0.tar.gz", hash = "sha256:4a0b436239ff76fb33f11c07a16482c521a7e09c1ce3cc293c2330afe01bec63"},
 ]
 
 [package.dependencies]
 packaging = "*"
 
 [package.extras]
-eventlet = ["eventlet (>=0.24.1)"]
+eventlet = ["eventlet (>=0.24.1,!=0.36.0)"]
 gevent = ["gevent (>=1.4.0)"]
 setproctitle = ["setproctitle"]
+testing = ["coverage", "eventlet", "gevent", "pytest", "pytest-cov"]
 tornado = ["tornado (>=0.2)"]
 
 [[package]]
@@ -2931,6 +3407,17 @@ cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
 
+[[package]]
+name = "httpx-sse"
+version = "0.4.0"
+description = "Consume Server-Sent Event (SSE) messages with HTTPX."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "httpx-sse-0.4.0.tar.gz", hash = "sha256:1e81a3a3070ce322add1d3529ed42eb5f70817f45ed6ec915ab753f961139721"},
+    {file = "httpx_sse-0.4.0-py3-none-any.whl", hash = "sha256:f329af6eae57eaa2bdfd962b42524764af68075ea87370a2de920af5341e318f"},
+]
+
 [[package]]
 name = "huggingface-hub"
 version = "0.20.3"
@@ -3004,6 +3491,20 @@ files = [
     {file = "hyperframe-6.0.1.tar.gz", hash = "sha256:ae510046231dc8e9ecb1a6586f63d2347bf4c8905914aa84ba585ae85f28a914"},
 ]
 
+[[package]]
+name = "identify"
+version = "2.5.36"
+description = "File identification library for Python"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "identify-2.5.36-py2.py3-none-any.whl", hash = "sha256:37d93f380f4de590500d9dba7db359d0d3da95ffe7f9de1753faa159e71e7dfa"},
+    {file = "identify-2.5.36.tar.gz", hash = "sha256:e5e00f54165f9047fbebeb4a560f9acfb8af4c88232be60a488e9b68d122745d"},
+]
+
+[package.extras]
+license = ["ukkonen"]
+
 [[package]]
 name = "idna"
 version = "3.7"
@@ -3015,24 +3516,127 @@ files = [
     {file = "idna-3.7.tar.gz", hash = "sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc"},
 ]
 
+[[package]]
+name = "ijson"
+version = "3.3.0"
+description = "Iterative JSON parser with standard Python iterator interfaces"
+optional = false
+python-versions = "*"
+files = [
+    {file = "ijson-3.3.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7f7a5250599c366369fbf3bc4e176f5daa28eb6bc7d6130d02462ed335361675"},
+    {file = "ijson-3.3.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f87a7e52f79059f9c58f6886c262061065eb6f7554a587be7ed3aa63e6b71b34"},
+    {file = "ijson-3.3.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b73b493af9e947caed75d329676b1b801d673b17481962823a3e55fe529c8b8b"},
+    {file = "ijson-3.3.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d5576415f3d76290b160aa093ff968f8bf6de7d681e16e463a0134106b506f49"},
+    {file = "ijson-3.3.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4e9ffe358d5fdd6b878a8a364e96e15ca7ca57b92a48f588378cef315a8b019e"},
+    {file = "ijson-3.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8643c255a25824ddd0895c59f2319c019e13e949dc37162f876c41a283361527"},
+    {file = "ijson-3.3.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:df3ab5e078cab19f7eaeef1d5f063103e1ebf8c26d059767b26a6a0ad8b250a3"},
+    {file = "ijson-3.3.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:3dc1fb02c6ed0bae1b4bf96971258bf88aea72051b6e4cebae97cff7090c0607"},
+    {file = "ijson-3.3.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:e9afd97339fc5a20f0542c971f90f3ca97e73d3050cdc488d540b63fae45329a"},
+    {file = "ijson-3.3.0-cp310-cp310-win32.whl", hash = "sha256:844c0d1c04c40fd1b60f148dc829d3f69b2de789d0ba239c35136efe9a386529"},
+    {file = "ijson-3.3.0-cp310-cp310-win_amd64.whl", hash = "sha256:d654d045adafdcc6c100e8e911508a2eedbd2a1b5f93f930ba13ea67d7704ee9"},
+    {file = "ijson-3.3.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:501dce8eaa537e728aa35810656aa00460a2547dcb60937c8139f36ec344d7fc"},
+    {file = "ijson-3.3.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:658ba9cad0374d37b38c9893f4864f284cdcc7d32041f9808fba8c7bcaadf134"},
+    {file = "ijson-3.3.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:2636cb8c0f1023ef16173f4b9a233bcdb1df11c400c603d5f299fac143ca8d70"},
+    {file = "ijson-3.3.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cd174b90db68c3bcca273e9391934a25d76929d727dc75224bf244446b28b03b"},
+    {file = "ijson-3.3.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:97a9aea46e2a8371c4cf5386d881de833ed782901ac9f67ebcb63bb3b7d115af"},
+    {file = "ijson-3.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c594c0abe69d9d6099f4ece17763d53072f65ba60b372d8ba6de8695ce6ee39e"},
+    {file = "ijson-3.3.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:8e0ff16c224d9bfe4e9e6bd0395826096cda4a3ef51e6c301e1b61007ee2bd24"},
+    {file = "ijson-3.3.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:0015354011303175eae7e2ef5136414e91de2298e5a2e9580ed100b728c07e51"},
+    {file = "ijson-3.3.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:034642558afa57351a0ffe6de89e63907c4cf6849070cc10a3b2542dccda1afe"},
+    {file = "ijson-3.3.0-cp311-cp311-win32.whl", hash = "sha256:192e4b65495978b0bce0c78e859d14772e841724d3269fc1667dc6d2f53cc0ea"},
+    {file = "ijson-3.3.0-cp311-cp311-win_amd64.whl", hash = "sha256:72e3488453754bdb45c878e31ce557ea87e1eb0f8b4fc610373da35e8074ce42"},
+    {file = "ijson-3.3.0-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:988e959f2f3d59ebd9c2962ae71b97c0df58323910d0b368cc190ad07429d1bb"},
+    {file = "ijson-3.3.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:b2f73f0d0fce5300f23a1383d19b44d103bb113b57a69c36fd95b7c03099b181"},
+    {file = "ijson-3.3.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:0ee57a28c6bf523d7cb0513096e4eb4dac16cd935695049de7608ec110c2b751"},
+    {file = "ijson-3.3.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e0155a8f079c688c2ccaea05de1ad69877995c547ba3d3612c1c336edc12a3a5"},
+    {file = "ijson-3.3.0-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7ab00721304af1ae1afa4313ecfa1bf16b07f55ef91e4a5b93aeaa3e2bd7917c"},
+    {file = "ijson-3.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:40ee3821ee90be0f0e95dcf9862d786a7439bd1113e370736bfdf197e9765bfb"},
+    {file = "ijson-3.3.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:da3b6987a0bc3e6d0f721b42c7a0198ef897ae50579547b0345f7f02486898f5"},
+    {file = "ijson-3.3.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:63afea5f2d50d931feb20dcc50954e23cef4127606cc0ecf7a27128ed9f9a9e6"},
+    {file = "ijson-3.3.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:b5c3e285e0735fd8c5a26d177eca8b52512cdd8687ca86ec77a0c66e9c510182"},
+    {file = "ijson-3.3.0-cp312-cp312-win32.whl", hash = "sha256:907f3a8674e489abdcb0206723e5560a5cb1fa42470dcc637942d7b10f28b695"},
+    {file = "ijson-3.3.0-cp312-cp312-win_amd64.whl", hash = "sha256:8f890d04ad33262d0c77ead53c85f13abfb82f2c8f078dfbf24b78f59534dfdd"},
+    {file = "ijson-3.3.0-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:b9d85a02e77ee8ea6d9e3fd5d515bcc3d798d9c1ea54817e5feb97a9bc5d52fe"},
+    {file = "ijson-3.3.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e6576cdc36d5a09b0c1a3d81e13a45d41a6763188f9eaae2da2839e8a4240bce"},
+    {file = "ijson-3.3.0-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e5589225c2da4bb732c9c370c5961c39a6db72cf69fb2a28868a5413ed7f39e6"},
+    {file = "ijson-3.3.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ad04cf38164d983e85f9cba2804566c0160b47086dcca4cf059f7e26c5ace8ca"},
+    {file = "ijson-3.3.0-cp36-cp36m-musllinux_1_2_aarch64.whl", hash = "sha256:a3b730ef664b2ef0e99dec01b6573b9b085c766400af363833e08ebc1e38eb2f"},
+    {file = "ijson-3.3.0-cp36-cp36m-musllinux_1_2_i686.whl", hash = "sha256:4690e3af7b134298055993fcbea161598d23b6d3ede11b12dca6815d82d101d5"},
+    {file = "ijson-3.3.0-cp36-cp36m-musllinux_1_2_x86_64.whl", hash = "sha256:aaa6bfc2180c31a45fac35d40e3312a3d09954638ce0b2e9424a88e24d262a13"},
+    {file = "ijson-3.3.0-cp36-cp36m-win32.whl", hash = "sha256:44367090a5a876809eb24943f31e470ba372aaa0d7396b92b953dda953a95d14"},
+    {file = "ijson-3.3.0-cp36-cp36m-win_amd64.whl", hash = "sha256:7e2b3e9ca957153557d06c50a26abaf0d0d6c0ddf462271854c968277a6b5372"},
+    {file = "ijson-3.3.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:47c144117e5c0e2babb559bc8f3f76153863b8dd90b2d550c51dab5f4b84a87f"},
+    {file = "ijson-3.3.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:29ce02af5fbf9ba6abb70765e66930aedf73311c7d840478f1ccecac53fefbf3"},
+    {file = "ijson-3.3.0-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4ac6c3eeed25e3e2cb9b379b48196413e40ac4e2239d910bb33e4e7f6c137745"},
+    {file = "ijson-3.3.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d92e339c69b585e7b1d857308ad3ca1636b899e4557897ccd91bb9e4a56c965b"},
+    {file = "ijson-3.3.0-cp37-cp37m-musllinux_1_2_aarch64.whl", hash = "sha256:8c85447569041939111b8c7dbf6f8fa7a0eb5b2c4aebb3c3bec0fb50d7025121"},
+    {file = "ijson-3.3.0-cp37-cp37m-musllinux_1_2_i686.whl", hash = "sha256:542c1e8fddf082159a5d759ee1412c73e944a9a2412077ed00b303ff796907dc"},
+    {file = "ijson-3.3.0-cp37-cp37m-musllinux_1_2_x86_64.whl", hash = "sha256:30cfea40936afb33b57d24ceaf60d0a2e3d5c1f2335ba2623f21d560737cc730"},
+    {file = "ijson-3.3.0-cp37-cp37m-win32.whl", hash = "sha256:6b661a959226ad0d255e49b77dba1d13782f028589a42dc3172398dd3814c797"},
+    {file = "ijson-3.3.0-cp37-cp37m-win_amd64.whl", hash = "sha256:0b003501ee0301dbf07d1597482009295e16d647bb177ce52076c2d5e64113e0"},
+    {file = "ijson-3.3.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:3e8d8de44effe2dbd0d8f3eb9840344b2d5b4cc284a14eb8678aec31d1b6bea8"},
+    {file = "ijson-3.3.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:9cd5c03c63ae06d4f876b9844c5898d0044c7940ff7460db9f4cd984ac7862b5"},
+    {file = "ijson-3.3.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:04366e7e4a4078d410845e58a2987fd9c45e63df70773d7b6e87ceef771b51ee"},
+    {file = "ijson-3.3.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:de7c1ddb80fa7a3ab045266dca169004b93f284756ad198306533b792774f10a"},
+    {file = "ijson-3.3.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8851584fb931cffc0caa395f6980525fd5116eab8f73ece9d95e6f9c2c326c4c"},
+    {file = "ijson-3.3.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bdcfc88347fd981e53c33d832ce4d3e981a0d696b712fbcb45dcc1a43fe65c65"},
+    {file = "ijson-3.3.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:3917b2b3d0dbbe3296505da52b3cb0befbaf76119b2edaff30bd448af20b5400"},
+    {file = "ijson-3.3.0-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:e10c14535abc7ddf3fd024aa36563cd8ab5d2bb6234a5d22c77c30e30fa4fb2b"},
+    {file = "ijson-3.3.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:3aba5c4f97f4e2ce854b5591a8b0711ca3b0c64d1b253b04ea7b004b0a197ef6"},
+    {file = "ijson-3.3.0-cp38-cp38-win32.whl", hash = "sha256:b325f42e26659df1a0de66fdb5cde8dd48613da9c99c07d04e9fb9e254b7ee1c"},
+    {file = "ijson-3.3.0-cp38-cp38-win_amd64.whl", hash = "sha256:ff835906f84451e143f31c4ce8ad73d83ef4476b944c2a2da91aec8b649570e1"},
+    {file = "ijson-3.3.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:3c556f5553368dff690c11d0a1fb435d4ff1f84382d904ccc2dc53beb27ba62e"},
+    {file = "ijson-3.3.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:e4396b55a364a03ff7e71a34828c3ed0c506814dd1f50e16ebed3fc447d5188e"},
+    {file = "ijson-3.3.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e6850ae33529d1e43791b30575070670070d5fe007c37f5d06aebc1dd152ab3f"},
+    {file = "ijson-3.3.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:36aa56d68ea8def26778eb21576ae13f27b4a47263a7a2581ab2ef58b8de4451"},
+    {file = "ijson-3.3.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a7ec759c4a0fc820ad5dc6a58e9c391e7b16edcb618056baedbedbb9ea3b1524"},
+    {file = "ijson-3.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b51bab2c4e545dde93cb6d6bb34bf63300b7cd06716f195dd92d9255df728331"},
+    {file = "ijson-3.3.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:92355f95a0e4da96d4c404aa3cff2ff033f9180a9515f813255e1526551298c1"},
+    {file = "ijson-3.3.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:8795e88adff5aa3c248c1edce932db003d37a623b5787669ccf205c422b91e4a"},
+    {file = "ijson-3.3.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:8f83f553f4cde6d3d4eaf58ec11c939c94a0ec545c5b287461cafb184f4b3a14"},
+    {file = "ijson-3.3.0-cp39-cp39-win32.whl", hash = "sha256:ead50635fb56577c07eff3e557dac39533e0fe603000684eea2af3ed1ad8f941"},
+    {file = "ijson-3.3.0-cp39-cp39-win_amd64.whl", hash = "sha256:c8a9befb0c0369f0cf5c1b94178d0d78f66d9cebb9265b36be6e4f66236076b8"},
+    {file = "ijson-3.3.0-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:2af323a8aec8a50fa9effa6d640691a30a9f8c4925bd5364a1ca97f1ac6b9b5c"},
+    {file = "ijson-3.3.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f64f01795119880023ba3ce43072283a393f0b90f52b66cc0ea1a89aa64a9ccb"},
+    {file = "ijson-3.3.0-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a716e05547a39b788deaf22725490855337fc36613288aa8ae1601dc8c525553"},
+    {file = "ijson-3.3.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:473f5d921fadc135d1ad698e2697025045cd8ed7e5e842258295012d8a3bc702"},
+    {file = "ijson-3.3.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:dd26b396bc3a1e85f4acebeadbf627fa6117b97f4c10b177d5779577c6607744"},
+    {file = "ijson-3.3.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:25fd49031cdf5fd5f1fd21cb45259a64dad30b67e64f745cc8926af1c8c243d3"},
+    {file = "ijson-3.3.0-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4b72178b1e565d06ab19319965022b36ef41bcea7ea153b32ec31194bec032a2"},
+    {file = "ijson-3.3.0-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7d0b6b637d05dbdb29d0bfac2ed8425bb369e7af5271b0cc7cf8b801cb7360c2"},
+    {file = "ijson-3.3.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5378d0baa59ae422905c5f182ea0fd74fe7e52a23e3821067a7d58c8306b2191"},
+    {file = "ijson-3.3.0-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:99f5c8ab048ee4233cc4f2b461b205cbe01194f6201018174ac269bf09995749"},
+    {file = "ijson-3.3.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:45ff05de889f3dc3d37a59d02096948ce470699f2368b32113954818b21aa74a"},
+    {file = "ijson-3.3.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1efb521090dd6cefa7aafd120581947b29af1713c902ff54336b7c7130f04c47"},
+    {file = "ijson-3.3.0-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:87c727691858fd3a1c085d9980d12395517fcbbf02c69fbb22dede8ee03422da"},
+    {file = "ijson-3.3.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0420c24e50389bc251b43c8ed379ab3e3ba065ac8262d98beb6735ab14844460"},
+    {file = "ijson-3.3.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:8fdf3721a2aa7d96577970f5604bd81f426969c1822d467f07b3d844fa2fecc7"},
+    {file = "ijson-3.3.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:891f95c036df1bc95309951940f8eea8537f102fa65715cdc5aae20b8523813b"},
+    {file = "ijson-3.3.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ed1336a2a6e5c427f419da0154e775834abcbc8ddd703004108121c6dd9eba9d"},
+    {file = "ijson-3.3.0-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f0c819f83e4f7b7f7463b2dc10d626a8be0c85fbc7b3db0edc098c2b16ac968e"},
+    {file = "ijson-3.3.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:33afc25057377a6a43c892de34d229a86f89ea6c4ca3dd3db0dcd17becae0dbb"},
+    {file = "ijson-3.3.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:7914d0cf083471856e9bc2001102a20f08e82311dfc8cf1a91aa422f9414a0d6"},
+    {file = "ijson-3.3.0.tar.gz", hash = "sha256:7f172e6ba1bee0d4c8f8ebd639577bfe429dee0f3f96775a067b8bae4492d8a0"},
+]
+
 [[package]]
 name = "importlib-metadata"
-version = "6.11.0"
+version = "7.1.0"
 description = "Read metadata from Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "importlib_metadata-6.11.0-py3-none-any.whl", hash = "sha256:f0afba6205ad8f8947c7d338b5342d5db2afbfd82f9cbef7879a9539cc12eb9b"},
-    {file = "importlib_metadata-6.11.0.tar.gz", hash = "sha256:1231cf92d825c9e03cfc4da076a16de6422c863558229ea0b22b675657463443"},
+    {file = "importlib_metadata-7.1.0-py3-none-any.whl", hash = "sha256:30962b96c0c223483ed6cc7280e7f0199feb01a0e40cfae4d4450fc6fab1f570"},
+    {file = "importlib_metadata-7.1.0.tar.gz", hash = "sha256:b78938b926ee8d5f020fc4772d487045805a55ddbad2ecf21c6d60938dc7fcd2"},
 ]
 
 [package.dependencies]
 zipp = ">=0.5"
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 perf = ["ipython"]
-testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)", "pytest-ruff"]
+testing = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-perf (>=0.9.2)", "pytest-ruff (>=0.2.1)"]
 
 [[package]]
 name = "importlib-resources"
@@ -3045,9 +3649,6 @@ files = [
     {file = "importlib_resources-6.4.0.tar.gz", hash = "sha256:cdb2b453b8046ca4e3798eb1d84f3cce1446a0e8e7b5ef4efb600f19fc398145"},
 ]
 
-[package.dependencies]
-zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""}
-
 [package.extras]
 docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
 testing = ["jaraco.test (>=5.4)", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-ruff (>=0.2.1)", "zipp (>=3.17)"]
@@ -3112,13 +3713,13 @@ test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio
 
 [[package]]
 name = "ipython"
-version = "8.18.1"
+version = "8.25.0"
 description = "IPython: Productive Interactive Computing"
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.10"
 files = [
-    {file = "ipython-8.18.1-py3-none-any.whl", hash = "sha256:e8267419d72d81955ec1177f8a29aaa90ac80ad647499201119e2f05e99aa397"},
-    {file = "ipython-8.18.1.tar.gz", hash = "sha256:ca6f079bb33457c66e233e4580ebfc4128855b4cf6370dddd73842a9563e8a27"},
+    {file = "ipython-8.25.0-py3-none-any.whl", hash = "sha256:53eee7ad44df903a06655871cbab66d156a051fd86f3ec6750470ac9604ac1ab"},
+    {file = "ipython-8.25.0.tar.gz", hash = "sha256:c6ed726a140b6e725b911528f80439c534fac915246af3efc39440a6b0f9d716"},
 ]
 
 [package.dependencies]
@@ -3127,25 +3728,26 @@ decorator = "*"
 exceptiongroup = {version = "*", markers = "python_version < \"3.11\""}
 jedi = ">=0.16"
 matplotlib-inline = "*"
-pexpect = {version = ">4.3", markers = "sys_platform != \"win32\""}
+pexpect = {version = ">4.3", markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\""}
 prompt-toolkit = ">=3.0.41,<3.1.0"
 pygments = ">=2.4.0"
 stack-data = "*"
-traitlets = ">=5"
-typing-extensions = {version = "*", markers = "python_version < \"3.10\""}
+traitlets = ">=5.13.0"
+typing-extensions = {version = ">=4.6", markers = "python_version < \"3.12\""}
 
 [package.extras]
-all = ["black", "curio", "docrepr", "exceptiongroup", "ipykernel", "ipyparallel", "ipywidgets", "matplotlib", "matplotlib (!=3.2.0)", "nbconvert", "nbformat", "notebook", "numpy (>=1.22)", "pandas", "pickleshare", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio (<0.22)", "qtconsole", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "trio", "typing-extensions"]
+all = ["ipython[black,doc,kernel,matplotlib,nbconvert,nbformat,notebook,parallel,qtconsole]", "ipython[test,test-extra]"]
 black = ["black"]
-doc = ["docrepr", "exceptiongroup", "ipykernel", "matplotlib", "pickleshare", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio (<0.22)", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "typing-extensions"]
+doc = ["docrepr", "exceptiongroup", "intersphinx-registry", "ipykernel", "ipython[test]", "matplotlib", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "sphinxcontrib-jquery", "tomli", "typing-extensions"]
 kernel = ["ipykernel"]
+matplotlib = ["matplotlib"]
 nbconvert = ["nbconvert"]
 nbformat = ["nbformat"]
 notebook = ["ipywidgets", "notebook"]
 parallel = ["ipyparallel"]
 qtconsole = ["qtconsole"]
-test = ["pickleshare", "pytest (<7.1)", "pytest-asyncio (<0.22)", "testpath"]
-test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.22)", "pandas", "pickleshare", "pytest (<7.1)", "pytest-asyncio (<0.22)", "testpath", "trio"]
+test = ["pickleshare", "pytest", "pytest-asyncio (<0.22)", "testpath"]
+test-extra = ["curio", "ipython[test]", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.23)", "pandas", "trio"]
 
 [[package]]
 name = "itsdangerous"
@@ -3194,6 +3796,76 @@ MarkupSafe = ">=2.0"
 [package.extras]
 i18n = ["Babel (>=2.7)"]
 
+[[package]]
+name = "jiter"
+version = "0.4.2"
+description = "Fast iterable JSON parser."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "jiter-0.4.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:c2b003ff58d14f5e182b875acd5177b2367245c19a03be9a2230535d296f7550"},
+    {file = "jiter-0.4.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b48c77c25f094707731cd5bad6b776046846b60a27ee20efc8fadfb10a89415f"},
+    {file = "jiter-0.4.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9f50ad6b172bde4d45f4d4ea10c49282a337b8bb735afc99763dfa55ea84a743"},
+    {file = "jiter-0.4.2-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:95f6001e86f525fbbc9706db2078dc22be078b0950de55b92d37041930f5f940"},
+    {file = "jiter-0.4.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:16646ef23b62b007de80460d303ebb2d81e355dac9389c787cec87cdd7ffef2f"},
+    {file = "jiter-0.4.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4b4e847c13b0bf1255c711a92330e7a8cb8b5cdd1e37d7db309627bcdd3367ff"},
+    {file = "jiter-0.4.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3c536589be60e4c5f2b20fadc4db7e9f55d4c9df3551f29ddf1c4a18dcc9dd54"},
+    {file = "jiter-0.4.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:b3b2763996167830889a854b4ded30bb90897f9b76be78069c50c3ec4540950e"},
+    {file = "jiter-0.4.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:675e8ab98c99495091af6b6e9bf2b6353bcf81f25ab6ce27d36127e315b4505d"},
+    {file = "jiter-0.4.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:e48e43d9d999aaf55f53406b8846ff8cbe3e47ee4b9dc37e5a10a65ce760809f"},
+    {file = "jiter-0.4.2-cp310-none-win32.whl", hash = "sha256:881b6e67c50bc36acb3570eda693763c8cd77d590940e06fa6d325d0da52ec1b"},
+    {file = "jiter-0.4.2-cp310-none-win_amd64.whl", hash = "sha256:bb8f7b43259efc6add0d721ade2953e064b24e2026d26d979bc09ec080844cef"},
+    {file = "jiter-0.4.2-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:24ad336ac47f274fa83f6fbedcabff9d3387c80f67c66b992688e6a8ba2c47e9"},
+    {file = "jiter-0.4.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:fc392a220095730afe365ce1516f2f88bb085a2fd29ea191be9c6e3c71713d9a"},
+    {file = "jiter-0.4.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c1fdc408de36c81460896de0176f2f7b9f3574dcd35693a0b2c00f4ca34c98e4"},
+    {file = "jiter-0.4.2-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c10ad76722ee6a8c820b0db06a793c08b7d679e5201b9563015bd1e06c959a09"},
+    {file = "jiter-0.4.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:dbb46d1e9c82bba87f0cbda38413e49448a7df35b1e55917124bff9f38974a23"},
+    {file = "jiter-0.4.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:194e28ef4b5f3b61408cb2ee6b6dcbcdb0c9063d01b92b01345b7605692849f5"},
+    {file = "jiter-0.4.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1f0a447533eccd62748a727e058efa10a8d7cf1de8ffe1a4d705ecb41dad9090"},
+    {file = "jiter-0.4.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:5f7704d7260bbb88cca3453951af739589132b26e896a3144fa2dae2263716d7"},
+    {file = "jiter-0.4.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:01427458bc9550f2eda09d425755330e7d0eb09adce099577433bebf05d28d59"},
+    {file = "jiter-0.4.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:159b8416879c0053b17c352f70b67b749ef5b2924c6154318ecf71918aab0905"},
+    {file = "jiter-0.4.2-cp311-none-win32.whl", hash = "sha256:f2445234acfb79048ce1a0d5d0e181abb9afd9e4a29d8d9988fe26cc5773a81a"},
+    {file = "jiter-0.4.2-cp311-none-win_amd64.whl", hash = "sha256:e15a65f233b6b0e5ac10ddf3b97ceb18aa9ffba096259961641d78b4ee321bd5"},
+    {file = "jiter-0.4.2-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:d61d59521aea9745447ce50f74d39a16ef74ec9d6477d9350d77e75a3d774ad2"},
+    {file = "jiter-0.4.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:8eef607dc0acc251923427808dbd017f1998ae3c1a0430a261527aa5cbb3a942"},
+    {file = "jiter-0.4.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:af6bf39954646e374fc47429c656372ac731a6a26b644158a5a84bcdbed33a47"},
+    {file = "jiter-0.4.2-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:8f509d23606e476852ee46a2b65b5c4ad3905f17424d9cc19c1dffa1c94ba3c6"},
+    {file = "jiter-0.4.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:59672774daa44ee140aada0c781c82bee4d9ac5e522966186cfb6b3c217d8a51"},
+    {file = "jiter-0.4.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:24a0458efac5afeca254cf557b8a654e17013075a69905c78f88d557f129d871"},
+    {file = "jiter-0.4.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d8860766d1c293e75c1bb4e25b74fa987e3adf199cac3f5f9e6e49c2bebf092f"},
+    {file = "jiter-0.4.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:a109f3281b72bbf4921fe43db1005c004a38559ca0b6c4985add81777dfe0a44"},
+    {file = "jiter-0.4.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:faa7e667454b77ad2f0ef87db39f4944de759617aadf210ea2b73f26bb24755f"},
+    {file = "jiter-0.4.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:3512f8b00cafb6780b427cb6282800d2bf8277161d9c917830661bd4ed1d3528"},
+    {file = "jiter-0.4.2-cp312-none-win32.whl", hash = "sha256:853b35d508ee5b66d06630473c1c0b7bb5e29bf4785c9d2202437116c94f7e21"},
+    {file = "jiter-0.4.2-cp312-none-win_amd64.whl", hash = "sha256:4a3a8197784278eb8b24cb02c45e1cad67c2ce5b5b758adfb19b87f74bbdff9c"},
+    {file = "jiter-0.4.2-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:ca2a4d750aed3154b89f2efb148609fc985fad8db739460797aaf9b478acedda"},
+    {file = "jiter-0.4.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:0e6c304b3cc6896256727e1fb8991c7179a345eca8224e201795e9cacf4683b0"},
+    {file = "jiter-0.4.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7cc34ac708ae1750d077e490321761ec4b9a055b994cbdd1d6fbd37099e4aa7b"},
+    {file = "jiter-0.4.2-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:8c93383875ab8d2e4f760aaff335b4a12ff32d4f9cf49c4498d657734f611466"},
+    {file = "jiter-0.4.2-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ce197ee044add576afca0955b42142dd0312639adb6ebadbdbe4277f2855614f"},
+    {file = "jiter-0.4.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5a427716813ff65480ca5b5117cfa099f49b49cd38051f8609bd0d5493013ca0"},
+    {file = "jiter-0.4.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:479990218353356234669e70fac53e5eb6f739a10db25316171aede2c97d9364"},
+    {file = "jiter-0.4.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:d35a91ec5ac74cf33234c431505299fa91c0a197c2dbafd47400aca7c69489d4"},
+    {file = "jiter-0.4.2-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:b27189847193708c94ad10ca0d891309342ae882725d2187cf5d2db02bde8d1b"},
+    {file = "jiter-0.4.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:76c255308cd1093fb411a03756b7bb220e48d4a98c30cbc79ed448bf3978e27d"},
+    {file = "jiter-0.4.2-cp38-none-win32.whl", hash = "sha256:bb77438060bad49cc251941e6701b31138365c8a0ddaf10cdded2fcc6dd30701"},
+    {file = "jiter-0.4.2-cp38-none-win_amd64.whl", hash = "sha256:ce858af19f7ce0d4b51c9f6c0c9d08f1e9dcef1986c5875efd0674a7054292ca"},
+    {file = "jiter-0.4.2-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:6128838a2f357b3921b2a3242d5dc002ae4255ecc8f9f05c20d56d7d2d79c5ad"},
+    {file = "jiter-0.4.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:f2420cebb9ba856cb57dcab1d2d8def949b464b0db09c22a4e4dbd52fff7b200"},
+    {file = "jiter-0.4.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c5d13d8128e853b320e00bb18bd4bb8b136cc0936091dc87633648fc688eb705"},
+    {file = "jiter-0.4.2-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:eba5d6e54f149c508ba88677f97d3dc7dd75e9980d234bbac8027ac6db0763a3"},
+    {file = "jiter-0.4.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:0fad5d64af0bc0545237419bf4150d8de56f0bd217434bdd1a59730327252bef"},
+    {file = "jiter-0.4.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8d179e7bca89cf5719bd761dd37a341ff0f98199ecaa9c14af09792e47e977cc"},
+    {file = "jiter-0.4.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:36353caee9f103d8ee7bda077f6400505b0f370e27eabcab33a33d21de12a2a6"},
+    {file = "jiter-0.4.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:dd146c25bce576ca5db64fc7eccb8862af00f1f0e30108796953f12a53660e4c"},
+    {file = "jiter-0.4.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:14b7c08cadbcd703041c66dc30e24e17de2f340281cac0e69374223ecf153aa4"},
+    {file = "jiter-0.4.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:a90f1a8b3d29aea198f8ea2b01148276ced8056e5103f32525266b3d880e65c9"},
+    {file = "jiter-0.4.2-cp39-none-win32.whl", hash = "sha256:25b174997c780337b61ae57b1723455eecae9a17a9659044fd3c3b369190063f"},
+    {file = "jiter-0.4.2-cp39-none-win_amd64.whl", hash = "sha256:bef62cea18521c5b99368147040c7e560c55098a35c93456f110678a2d34189a"},
+    {file = "jiter-0.4.2.tar.gz", hash = "sha256:29b9d44f23f0c05f46d482f4ebf03213ee290d77999525d0975a17f875bf1eea"},
+]
+
 [[package]]
 name = "jmespath"
 version = "1.0.1"
@@ -3207,13 +3879,13 @@ files = [
 
 [[package]]
 name = "joblib"
-version = "1.4.2"
+version = "1.3.2"
 description = "Lightweight pipelining with Python functions"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.7"
 files = [
-    {file = "joblib-1.4.2-py3-none-any.whl", hash = "sha256:06d478d5674cbc267e7496a410ee875abd68e4340feff4490bcb7afb88060ae6"},
-    {file = "joblib-1.4.2.tar.gz", hash = "sha256:2382c5816b2636fbd20a09e0f4e9dad4736765fdfb7dca582943b9c1366b3f0e"},
+    {file = "joblib-1.3.2-py3-none-any.whl", hash = "sha256:ef4331c65f239985f3f2220ecc87db222f08fd22097a3dd5698f693875f8cbb9"},
+    {file = "joblib-1.3.2.tar.gz", hash = "sha256:92f865e621e17784e7955080b6d042489e3b8e294949cc44c6eac304f59772b1"},
 ]
 
 [[package]]
@@ -3325,28 +3997,27 @@ files = [
 
 [[package]]
 name = "jsonpointer"
-version = "2.4"
+version = "3.0.0"
 description = "Identify specific nodes in a JSON document (RFC 6901)"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
+python-versions = ">=3.7"
 files = [
-    {file = "jsonpointer-2.4-py2.py3-none-any.whl", hash = "sha256:15d51bba20eea3165644553647711d150376234112651b4f1811022aecad7d7a"},
-    {file = "jsonpointer-2.4.tar.gz", hash = "sha256:585cee82b70211fa9e6043b7bb89db6e1aa49524340dde8ad6b63206ea689d88"},
+    {file = "jsonpointer-3.0.0-py2.py3-none-any.whl", hash = "sha256:13e088adc14fca8b6aa8177c044e12701e6ad4b28ff10e65f2267a90109c9942"},
+    {file = "jsonpointer-3.0.0.tar.gz", hash = "sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef"},
 ]
 
 [[package]]
 name = "jupyter-client"
-version = "8.6.1"
+version = "8.6.2"
 description = "Jupyter protocol implementation and client libraries"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jupyter_client-8.6.1-py3-none-any.whl", hash = "sha256:3b7bd22f058434e3b9a7ea4b1500ed47de2713872288c0d511d19926f99b459f"},
-    {file = "jupyter_client-8.6.1.tar.gz", hash = "sha256:e842515e2bab8e19186d89fdfea7abd15e39dd581f94e399f00e2af5a1652d3f"},
+    {file = "jupyter_client-8.6.2-py3-none-any.whl", hash = "sha256:50cbc5c66fd1b8f65ecb66bc490ab73217993632809b6e505687de18e9dea39f"},
+    {file = "jupyter_client-8.6.2.tar.gz", hash = "sha256:2bda14d55ee5ba58552a8c53ae43d215ad9868853489213f37da060ced54d8df"},
 ]
 
 [package.dependencies]
-importlib-metadata = {version = ">=4.8.3", markers = "python_version < \"3.10\""}
 jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0"
 python-dateutil = ">=2.8.2"
 pyzmq = ">=23.0"
@@ -3355,7 +4026,7 @@ traitlets = ">=5.3"
 
 [package.extras]
 docs = ["ipykernel", "myst-parser", "pydata-sphinx-theme", "sphinx (>=4)", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"]
-test = ["coverage", "ipykernel (>=6.14)", "mypy", "paramiko", "pre-commit", "pytest", "pytest-cov", "pytest-jupyter[client] (>=0.4.1)", "pytest-timeout"]
+test = ["coverage", "ipykernel (>=6.14)", "mypy", "paramiko", "pre-commit", "pytest (<8.2.0)", "pytest-cov", "pytest-jupyter[client] (>=0.4.1)", "pytest-timeout"]
 
 [[package]]
 name = "jupyter-core"
@@ -3390,7 +4061,6 @@ files = [
 
 [package.dependencies]
 amqp = ">=5.1.1,<6.0.0"
-typing-extensions = {version = "*", markers = "python_version < \"3.10\""}
 vine = "*"
 
 [package.extras]
@@ -3412,13 +4082,13 @@ zookeeper = ["kazoo (>=2.8.0)"]
 
 [[package]]
 name = "kubernetes"
-version = "29.0.0"
+version = "30.1.0"
 description = "Kubernetes python client"
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "kubernetes-29.0.0-py2.py3-none-any.whl", hash = "sha256:ab8cb0e0576ccdfb71886366efb102c6a20f268d817be065ce7f9909c631e43e"},
-    {file = "kubernetes-29.0.0.tar.gz", hash = "sha256:c4812e227ae74d07d53c88293e564e54b850452715a59a927e7e1bc6b9a60459"},
+    {file = "kubernetes-30.1.0-py2.py3-none-any.whl", hash = "sha256:e212e8b7579031dd2e512168b617373bc1e03888d41ac4e04039240a292d478d"},
+    {file = "kubernetes-30.1.0.tar.gz", hash = "sha256:41e4c77af9f28e7a6c314e3bd06a8c6229ddd787cad684e0ab9f69b498e98ebc"},
 ]
 
 [package.dependencies]
@@ -3438,194 +4108,323 @@ adal = ["adal (>=1.0.2)"]
 
 [[package]]
 name = "langchain"
-version = "0.1.17"
+version = "0.2.5"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain-0.1.17-py3-none-any.whl", hash = "sha256:f6c5b5fdb529545e6cafbb4ba099031508e621ba1ed7985cf078a597ade3458b"},
-    {file = "langchain-0.1.17.tar.gz", hash = "sha256:709b80afa00ae634dfc7042f3e4c20309267b21ffeacc7d7494d58bcae1862f7"},
+    {file = "langchain-0.2.5-py3-none-any.whl", hash = "sha256:9aded9a65348254e1c93dcdaacffe4d1b6a5e7f74ef80c160c88ff78ad299228"},
+    {file = "langchain-0.2.5.tar.gz", hash = "sha256:ffdbf4fcea46a10d461bcbda2402220fcfd72a0c70e9f4161ae0510067b9b3bd"},
 ]
 
 [package.dependencies]
 aiohttp = ">=3.8.3,<4.0.0"
 async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
-dataclasses-json = ">=0.5.7,<0.7"
-jsonpatch = ">=1.33,<2.0"
-langchain-community = ">=0.0.36,<0.1"
-langchain-core = ">=0.1.48,<0.2.0"
-langchain-text-splitters = ">=0.0.1,<0.1"
+langchain-core = ">=0.2.7,<0.3.0"
+langchain-text-splitters = ">=0.2.0,<0.3.0"
 langsmith = ">=0.1.17,<0.2.0"
-numpy = ">=1,<2"
+numpy = [
+    {version = ">=1,<2", markers = "python_version < \"3.12\""},
+    {version = ">=1.26.0,<2.0.0", markers = "python_version >= \"3.12\""},
+]
 pydantic = ">=1,<3"
 PyYAML = ">=5.3"
 requests = ">=2,<3"
 SQLAlchemy = ">=1.4,<3"
 tenacity = ">=8.1.0,<9.0.0"
 
-[package.extras]
-azure = ["azure-ai-formrecognizer (>=3.2.1,<4.0.0)", "azure-ai-textanalytics (>=5.3.0,<6.0.0)", "azure-cognitiveservices-speech (>=1.28.0,<2.0.0)", "azure-core (>=1.26.4,<2.0.0)", "azure-cosmos (>=4.4.0b1,<5.0.0)", "azure-identity (>=1.12.0,<2.0.0)", "azure-search-documents (==11.4.0b8)", "openai (<2)"]
-clarifai = ["clarifai (>=9.1.0)"]
-cli = ["typer (>=0.9.0,<0.10.0)"]
-cohere = ["cohere (>=4,<6)"]
-docarray = ["docarray[hnswlib] (>=0.32.0,<0.33.0)"]
-embeddings = ["sentence-transformers (>=2,<3)"]
-extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "aleph-alpha-client (>=2.15.0,<3.0.0)", "anthropic (>=0.3.11,<0.4.0)", "arxiv (>=1.4,<2.0)", "assemblyai (>=0.17.0,<0.18.0)", "atlassian-python-api (>=3.36.0,<4.0.0)", "beautifulsoup4 (>=4,<5)", "bibtexparser (>=1.4.0,<2.0.0)", "cassio (>=0.1.0,<0.2.0)", "chardet (>=5.1.0,<6.0.0)", "cohere (>=4,<6)", "couchbase (>=4.1.9,<5.0.0)", "dashvector (>=1.0.1,<2.0.0)", "databricks-vectorsearch (>=0.21,<0.22)", "datasets (>=2.15.0,<3.0.0)", "dgml-utils (>=0.3.0,<0.4.0)", "esprima (>=4.0.1,<5.0.0)", "faiss-cpu (>=1,<2)", "feedparser (>=6.0.10,<7.0.0)", "fireworks-ai (>=0.9.0,<0.10.0)", "geopandas (>=0.13.1,<0.14.0)", "gitpython (>=3.1.32,<4.0.0)", "google-cloud-documentai (>=2.20.1,<3.0.0)", "gql (>=3.4.1,<4.0.0)", "hologres-vector (>=0.0.6,<0.0.7)", "html2text (>=2020.1.16,<2021.0.0)", "javelin-sdk (>=0.1.8,<0.2.0)", "jinja2 (>=3,<4)", "jq (>=1.4.1,<2.0.0)", "jsonschema (>1)", "langchain-openai (>=0.0.2,<0.1)", "lxml (>=4.9.3,<6.0)", "markdownify (>=0.11.6,<0.12.0)", "motor (>=3.3.1,<4.0.0)", "msal (>=1.25.0,<2.0.0)", "mwparserfromhell (>=0.6.4,<0.7.0)", "mwxml (>=0.3.3,<0.4.0)", "newspaper3k (>=0.2.8,<0.3.0)", "numexpr (>=2.8.6,<3.0.0)", "openai (<2)", "openapi-pydantic (>=0.3.2,<0.4.0)", "pandas (>=2.0.1,<3.0.0)", "pdfminer-six (>=20221105,<20221106)", "pgvector (>=0.1.6,<0.2.0)", "praw (>=7.7.1,<8.0.0)", "psychicapi (>=0.8.0,<0.9.0)", "py-trello (>=0.19.0,<0.20.0)", "pymupdf (>=1.22.3,<2.0.0)", "pypdf (>=3.4.0,<4.0.0)", "pypdfium2 (>=4.10.0,<5.0.0)", "pyspark (>=3.4.0,<4.0.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "rapidfuzz (>=3.1.1,<4.0.0)", "rapidocr-onnxruntime (>=1.3.2,<2.0.0)", "rdflib (==7.0.0)", "requests-toolbelt (>=1.0.0,<2.0.0)", "rspace_client (>=2.5.0,<3.0.0)", "scikit-learn (>=1.2.2,<2.0.0)", "sqlite-vss (>=0.1.2,<0.2.0)", "streamlit (>=1.18.0,<2.0.0)", "sympy (>=1.12,<2.0)", "telethon (>=1.28.5,<2.0.0)", "timescale-vector (>=0.0.1,<0.0.2)", "tqdm (>=4.48.0)", "upstash-redis (>=0.15.0,<0.16.0)", "xata (>=1.0.0a7,<2.0.0)", "xmltodict (>=0.13.0,<0.14.0)"]
-javascript = ["esprima (>=4.0.1,<5.0.0)"]
-llms = ["clarifai (>=9.1.0)", "cohere (>=4,<6)", "huggingface_hub (>=0,<1)", "manifest-ml (>=0.0.1,<0.0.2)", "nlpcloud (>=1,<2)", "openai (<2)", "openlm (>=0.0.5,<0.0.6)", "torch (>=1,<3)", "transformers (>=4,<5)"]
-openai = ["openai (<2)", "tiktoken (>=0.3.2,<0.6.0)"]
-qdrant = ["qdrant-client (>=1.3.1,<2.0.0)"]
-text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
-
 [[package]]
 name = "langchain-anthropic"
-version = "0.1.11"
+version = "0.1.15"
 description = "An integration package connecting AnthropicMessages and LangChain"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_anthropic-0.1.11-py3-none-any.whl", hash = "sha256:21a9b72e14292f5f97d8a21ae1b3d799ff4d541fadc327deb7df62f1c96513a1"},
-    {file = "langchain_anthropic-0.1.11.tar.gz", hash = "sha256:b00e01cb22dbfd6a111f2c713f0a056770ae6fb677c9271998d0e360e25c3d12"},
+    {file = "langchain_anthropic-0.1.15-py3-none-any.whl", hash = "sha256:7cceea526f473e4d514f39295dc128eec57da628a4bbb54850d11dda7aa959fc"},
+    {file = "langchain_anthropic-0.1.15.tar.gz", hash = "sha256:c5c3c6eaccb11ed99a63886e50873ac21eaf8e9441e0f75c7ae7cd8cdef65155"},
 ]
 
 [package.dependencies]
-anthropic = ">=0.23.0,<1"
+anthropic = ">=0.28.0,<1"
 defusedxml = ">=0.7.1,<0.8.0"
-langchain-core = ">=0.1.43,<0.2.0"
+langchain-core = ">=0.2.2rc1,<0.3"
+
+[[package]]
+name = "langchain-astradb"
+version = "0.3.3"
+description = "An integration package connecting Astra DB and LangChain"
+optional = false
+python-versions = "<4.0,>=3.8.1"
+files = [
+    {file = "langchain_astradb-0.3.3-py3-none-any.whl", hash = "sha256:39deef1253947ef1bfaf3c27881ecdf07621d96c2cf37814aed9e506a9bee217"},
+    {file = "langchain_astradb-0.3.3.tar.gz", hash = "sha256:f9a996ec4bef134896195430adeb7f264389c368a03d2ea91356837e8ddde091"},
+]
+
+[package.dependencies]
+astrapy = ">=1.2,<2.0"
+langchain-core = ">=0.1.31,<0.3"
+numpy = ">=1,<2"
+
+[[package]]
+name = "langchain-aws"
+version = "0.1.7"
+description = "An integration package connecting AWS and LangChain"
+optional = false
+python-versions = "<4.0,>=3.8.1"
+files = [
+    {file = "langchain_aws-0.1.7-py3-none-any.whl", hash = "sha256:413f88cbb120cc1d6ca0e9f6d72b89c1d930b78ce071fef5b03e1595fc4d6029"},
+    {file = "langchain_aws-0.1.7.tar.gz", hash = "sha256:aa0bbd3e530e21fdc1d0459e97ee14fa387ce9bb2d00d721cf526e9c3ecea78f"},
+]
+
+[package.dependencies]
+boto3 = ">=1.34.51,<1.35.0"
+langchain-core = ">=0.2.2,<0.3"
+numpy = ">=1,<2"
+
+[[package]]
+name = "langchain-chroma"
+version = "0.1.1"
+description = "An integration package connecting Chroma and LangChain"
+optional = false
+python-versions = "<3.13,>=3.8.1"
+files = [
+    {file = "langchain_chroma-0.1.1-py3-none-any.whl", hash = "sha256:7346ba749e5c5735e2a659bc5e3bb2901177bd08448d61682db5a7f882e27b87"},
+    {file = "langchain_chroma-0.1.1.tar.gz", hash = "sha256:fb17c0cc591a425179958ca8cdb25d6cc9e43f4954a1ad4f3fe9cc2d306c455a"},
+]
+
+[package.dependencies]
+chromadb = ">=0.4.0,<0.6.0"
+fastapi = ">=0.95.2,<1"
+langchain-core = ">=0.1.40,<0.3"
+numpy = ">=1,<2"
+
+[[package]]
+name = "langchain-cohere"
+version = "0.1.8"
+description = "An integration package connecting Cohere and LangChain"
+optional = false
+python-versions = "<4.0,>=3.8.1"
+files = [
+    {file = "langchain_cohere-0.1.8-py3-none-any.whl", hash = "sha256:d3ef73d5050513ff3ca0f07c8f3f73b7773eec182312aae92138d3a0ad33e631"},
+    {file = "langchain_cohere-0.1.8.tar.gz", hash = "sha256:edbeca8d041186d2831b495d9a392a0a94d15b0e2c98863e0a0cd001fc888842"},
+]
+
+[package.dependencies]
+cohere = ">=5.5.6,<6.0"
+langchain-core = ">=0.2.0,<0.3"
 
 [[package]]
 name = "langchain-community"
-version = "0.0.37"
+version = "0.2.5"
 description = "Community contributed LangChain integrations."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_community-0.0.37-py3-none-any.whl", hash = "sha256:52e8557602dc099c2e236ec8a0599a956e2f08cfeb61e501815f5ec2d8545747"},
-    {file = "langchain_community-0.0.37.tar.gz", hash = "sha256:db2b5829bb20bc5b04c126b69143dbc31a880e949e94110c236b2c176906889f"},
+    {file = "langchain_community-0.2.5-py3-none-any.whl", hash = "sha256:bf37a334952e42c7676d083cf2d2c4cbfbb7de1949c4149fe19913e2b06c485f"},
+    {file = "langchain_community-0.2.5.tar.gz", hash = "sha256:476787b8c8c213b67e7b0eceb53346e787f00fbae12d8e680985bd4f93b0bf64"},
 ]
 
 [package.dependencies]
 aiohttp = ">=3.8.3,<4.0.0"
 dataclasses-json = ">=0.5.7,<0.7"
-langchain-core = ">=0.1.51,<0.2.0"
+langchain = ">=0.2.5,<0.3.0"
+langchain-core = ">=0.2.7,<0.3.0"
 langsmith = ">=0.1.0,<0.2.0"
-numpy = ">=1,<2"
+numpy = [
+    {version = ">=1,<2", markers = "python_version < \"3.12\""},
+    {version = ">=1.26.0,<2.0.0", markers = "python_version >= \"3.12\""},
+]
 PyYAML = ">=5.3"
 requests = ">=2,<3"
 SQLAlchemy = ">=1.4,<3"
 tenacity = ">=8.1.0,<9.0.0"
 
-[package.extras]
-cli = ["typer (>=0.9.0,<0.10.0)"]
-extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "aleph-alpha-client (>=2.15.0,<3.0.0)", "anthropic (>=0.3.11,<0.4.0)", "arxiv (>=1.4,<2.0)", "assemblyai (>=0.17.0,<0.18.0)", "atlassian-python-api (>=3.36.0,<4.0.0)", "azure-ai-documentintelligence (>=1.0.0b1,<2.0.0)", "azure-identity (>=1.15.0,<2.0.0)", "azure-search-documents (==11.4.0)", "beautifulsoup4 (>=4,<5)", "bibtexparser (>=1.4.0,<2.0.0)", "cassio (>=0.1.6,<0.2.0)", "chardet (>=5.1.0,<6.0.0)", "cloudpickle (>=2.0.0)", "cohere (>=4,<5)", "databricks-vectorsearch (>=0.21,<0.22)", "datasets (>=2.15.0,<3.0.0)", "dgml-utils (>=0.3.0,<0.4.0)", "elasticsearch (>=8.12.0,<9.0.0)", "esprima (>=4.0.1,<5.0.0)", "faiss-cpu (>=1,<2)", "feedparser (>=6.0.10,<7.0.0)", "fireworks-ai (>=0.9.0,<0.10.0)", "friendli-client (>=1.2.4,<2.0.0)", "geopandas (>=0.13.1,<0.14.0)", "gitpython (>=3.1.32,<4.0.0)", "google-cloud-documentai (>=2.20.1,<3.0.0)", "gql (>=3.4.1,<4.0.0)", "gradientai (>=1.4.0,<2.0.0)", "hdbcli (>=2.19.21,<3.0.0)", "hologres-vector (>=0.0.6,<0.0.7)", "html2text (>=2020.1.16,<2021.0.0)", "httpx (>=0.24.1,<0.25.0)", "httpx-sse (>=0.4.0,<0.5.0)", "javelin-sdk (>=0.1.8,<0.2.0)", "jinja2 (>=3,<4)", "jq (>=1.4.1,<2.0.0)", "jsonschema (>1)", "lxml (>=4.9.3,<6.0)", "markdownify (>=0.11.6,<0.12.0)", "motor (>=3.3.1,<4.0.0)", "msal (>=1.25.0,<2.0.0)", "mwparserfromhell (>=0.6.4,<0.7.0)", "mwxml (>=0.3.3,<0.4.0)", "newspaper3k (>=0.2.8,<0.3.0)", "numexpr (>=2.8.6,<3.0.0)", "nvidia-riva-client (>=2.14.0,<3.0.0)", "oci (>=2.119.1,<3.0.0)", "openai (<2)", "openapi-pydantic (>=0.3.2,<0.4.0)", "oracle-ads (>=2.9.1,<3.0.0)", "oracledb (>=2.2.0,<3.0.0)", "pandas (>=2.0.1,<3.0.0)", "pdfminer-six (>=20221105,<20221106)", "pgvector (>=0.1.6,<0.2.0)", "praw (>=7.7.1,<8.0.0)", "premai (>=0.3.25,<0.4.0)", "psychicapi (>=0.8.0,<0.9.0)", "py-trello (>=0.19.0,<0.20.0)", "pyjwt (>=2.8.0,<3.0.0)", "pymupdf (>=1.22.3,<2.0.0)", "pypdf (>=3.4.0,<4.0.0)", "pypdfium2 (>=4.10.0,<5.0.0)", "pyspark (>=3.4.0,<4.0.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "rapidfuzz (>=3.1.1,<4.0.0)", "rapidocr-onnxruntime (>=1.3.2,<2.0.0)", "rdflib (==7.0.0)", "requests-toolbelt (>=1.0.0,<2.0.0)", "rspace_client (>=2.5.0,<3.0.0)", "scikit-learn (>=1.2.2,<2.0.0)", "sqlite-vss (>=0.1.2,<0.2.0)", "streamlit (>=1.18.0,<2.0.0)", "sympy (>=1.12,<2.0)", "telethon (>=1.28.5,<2.0.0)", "tidb-vector (>=0.0.3,<1.0.0)", "timescale-vector (>=0.0.1,<0.0.2)", "tqdm (>=4.48.0)", "tree-sitter (>=0.20.2,<0.21.0)", "tree-sitter-languages (>=1.8.0,<2.0.0)", "upstash-redis (>=0.15.0,<0.16.0)", "vdms (>=0.0.20,<0.0.21)", "xata (>=1.0.0a7,<2.0.0)", "xmltodict (>=0.13.0,<0.14.0)"]
-
 [[package]]
 name = "langchain-core"
-version = "0.1.52"
+version = "0.2.9"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_core-0.1.52-py3-none-any.whl", hash = "sha256:62566749c92e8a1181c255c788548dc16dbc319d896cd6b9c95dc17af9b2a6db"},
-    {file = "langchain_core-0.1.52.tar.gz", hash = "sha256:084c3fc452f5a6966c28ab3ec5dbc8b8d26fc3f63378073928f4e29d90b6393f"},
+    {file = "langchain_core-0.2.9-py3-none-any.whl", hash = "sha256:426a5a4fea95a5db995ba5ab560b76edd4998fb6fe52ccc28ac987092a4cbfcd"},
+    {file = "langchain_core-0.2.9.tar.gz", hash = "sha256:f1c59082642921727844e1cd0eb36d451edd1872c20e193aa3142aac03495986"},
 ]
 
 [package.dependencies]
 jsonpatch = ">=1.33,<2.0"
-langsmith = ">=0.1.0,<0.2.0"
-packaging = ">=23.2,<24.0"
-pydantic = ">=1,<3"
+langsmith = ">=0.1.75,<0.2.0"
+packaging = ">=23.2,<25"
+pydantic = [
+    {version = ">=1,<3", markers = "python_full_version < \"3.12.4\""},
+    {version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
+]
 PyYAML = ">=5.3"
-tenacity = ">=8.1.0,<9.0.0"
-
-[package.extras]
-extended-testing = ["jinja2 (>=3,<4)"]
+tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
 
 [[package]]
 name = "langchain-experimental"
-version = "0.0.57"
+version = "0.0.61"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_experimental-0.0.57-py3-none-any.whl", hash = "sha256:96479a2d45a35722cf2fe49655639e91d3fff5ccaba498cda32b088d5b184325"},
-    {file = "langchain_experimental-0.0.57.tar.gz", hash = "sha256:d1fb452aa1f04f32f0e08b83b083f35552f4ece1077c5bdcf86327f56f1758b5"},
+    {file = "langchain_experimental-0.0.61-py3-none-any.whl", hash = "sha256:f9c516f528f55919743bd56fe1689a53bf74ae7f8902d64b9d8aebc61249cbe2"},
+    {file = "langchain_experimental-0.0.61.tar.gz", hash = "sha256:e9538efb994be5db3045cc582cddb9787c8299c86ffeee9d3779b7f58eef2226"},
 ]
 
 [package.dependencies]
-langchain = ">=0.1.15,<0.2.0"
-langchain-core = ">=0.1.41,<0.2.0"
-
-[package.extras]
-extended-testing = ["faker (>=19.3.1,<20.0.0)", "jinja2 (>=3,<4)", "pandas (>=2.0.1,<3.0.0)", "presidio-analyzer (>=2.2.352,<3.0.0)", "presidio-anonymizer (>=2.2.352,<3.0.0)", "sentence-transformers (>=2,<3)", "tabulate (>=0.9.0,<0.10.0)", "vowpal-wabbit-next (==0.6.0)"]
+langchain-community = ">=0.2.5,<0.3.0"
+langchain-core = ">=0.2.7,<0.3.0"
 
 [[package]]
 name = "langchain-google-genai"
-version = "0.0.6"
+version = "1.0.6"
 description = "An integration package connecting Google's genai package and LangChain"
 optional = false
-python-versions = ">=3.9,<4.0"
+python-versions = "<4.0,>=3.9"
 files = [
-    {file = "langchain_google_genai-0.0.6-py3-none-any.whl", hash = "sha256:2e347ad4d18f8f761ed8d3997f9ea52b41f97b7fd81f698612ad718da5d9c13b"},
-    {file = "langchain_google_genai-0.0.6.tar.gz", hash = "sha256:93156a523306031d4bbfa7c759778a1123779902512f8ef329516da558069d70"},
+    {file = "langchain_google_genai-1.0.6-py3-none-any.whl", hash = "sha256:65188b3c2867efda78e09c29371499ab0d25c6a111b175365fdae2b5be1502e6"},
+    {file = "langchain_google_genai-1.0.6.tar.gz", hash = "sha256:7c964117fa385c490b323ee50ab46907229823d3678b80bfacc8fa0a237fb0b9"},
 ]
 
 [package.dependencies]
-google-generativeai = ">=0.3.1,<0.4.0"
-langchain-core = ">=0.1,<0.2"
+google-generativeai = ">=0.5.2,<0.6.0"
+langchain-core = ">=0.2.2,<0.3"
 
 [package.extras]
 images = ["pillow (>=10.1.0,<11.0.0)"]
 
+[[package]]
+name = "langchain-google-vertexai"
+version = "1.0.5"
+description = "An integration package connecting Google VertexAI and LangChain"
+optional = false
+python-versions = "<4.0,>=3.8.1"
+files = [
+    {file = "langchain_google_vertexai-1.0.5-py3-none-any.whl", hash = "sha256:38f4a39bf35927d744d0883907c4d4a59eef059e9b36f28bb5c737c2aae6963b"},
+    {file = "langchain_google_vertexai-1.0.5.tar.gz", hash = "sha256:50005dc12ff9d66bbbab9e1ab660574b1584eee3e7b5a647dc8a009a94f0c500"},
+]
+
+[package.dependencies]
+google-cloud-aiplatform = ">=1.47.0,<2.0.0"
+google-cloud-storage = ">=2.14.0,<3.0.0"
+langchain-core = ">=0.2.2,<0.3"
+
+[package.extras]
+anthropic = ["anthropic[vertexai] (>=0.23.0,<1)"]
+
+[[package]]
+name = "langchain-groq"
+version = "0.1.5"
+description = "An integration package connecting Groq and LangChain"
+optional = false
+python-versions = "<4.0,>=3.8.1"
+files = [
+    {file = "langchain_groq-0.1.5-py3-none-any.whl", hash = "sha256:f13fbec6143047a352ff2bbd2241e4b4b9559c6f799a26e6da5f2b0d6e02bff5"},
+    {file = "langchain_groq-0.1.5.tar.gz", hash = "sha256:af166fd30c60006dba4345bc9a59edfa2745edcb5b3e0bd957abd3d09416bbc5"},
+]
+
+[package.dependencies]
+groq = ">=0.4.1,<1"
+langchain-core = ">=0.1.45,<0.3"
+
+[[package]]
+name = "langchain-mistralai"
+version = "0.1.8"
+description = "An integration package connecting Mistral and LangChain"
+optional = false
+python-versions = "<4.0,>=3.8.1"
+files = [
+    {file = "langchain_mistralai-0.1.8-py3-none-any.whl", hash = "sha256:476ae501d6a62ebc1e612e11abff27ae4ac6b108834f34450c504295687f78a6"},
+    {file = "langchain_mistralai-0.1.8.tar.gz", hash = "sha256:dc328f7aedfd9e88eeb79de5692dfc3907793b82ef59f0d6722d19c1c8bfcdc2"},
+]
+
+[package.dependencies]
+httpx = ">=0.25.2,<1"
+httpx-sse = ">=0.3.1,<1"
+langchain-core = ">=0.2.0,<0.3"
+tokenizers = ">=0.15.1,<1"
+
+[[package]]
+name = "langchain-mongodb"
+version = "0.1.6"
+description = "An integration package connecting MongoDB and LangChain"
+optional = false
+python-versions = "<4.0,>=3.8.1"
+files = [
+    {file = "langchain_mongodb-0.1.6-py3-none-any.whl", hash = "sha256:ba5e1e388131ae00e8fcd39c4b38ce42c29f00c4bc39c58023b354b597ffa8df"},
+    {file = "langchain_mongodb-0.1.6.tar.gz", hash = "sha256:a7a6b66d5270d6f8732c4e848f9a3742bbd4485c8829a2d629332ee683b936d1"},
+]
+
+[package.dependencies]
+langchain-core = ">=0.1.46,<0.3"
+numpy = ">=1,<2"
+pymongo = ">=4.6.1,<5.0"
+
 [[package]]
 name = "langchain-openai"
-version = "0.0.6"
+version = "0.1.9"
 description = "An integration package connecting OpenAI and LangChain"
 optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_openai-0.0.6-py3-none-any.whl", hash = "sha256:2ef040e4447a26a9d3bd45dfac9cefa00797ea58555a3d91ab4f88699eb3a005"},
-    {file = "langchain_openai-0.0.6.tar.gz", hash = "sha256:f5c4ebe46f2c8635c8f0c26cc8df27700aacafea025410e418d5a080039974dd"},
+    {file = "langchain_openai-0.1.9-py3-none-any.whl", hash = "sha256:afae71ef315c967685e53fe061470438000946739a9492d5f2d53bd4ae9d495a"},
+    {file = "langchain_openai-0.1.9.tar.gz", hash = "sha256:730a94d68208678b9b9f64e4959a87057e021d6600754ea8b954e7765c7a62f1"},
 ]
 
 [package.dependencies]
-langchain-core = ">=0.1.16,<0.2"
-numpy = ">=1,<2"
-openai = ">=1.10.0,<2.0.0"
-tiktoken = ">=0.5.2,<1"
+langchain-core = ">=0.2.2,<0.3"
+openai = ">=1.26.0,<2.0.0"
+tiktoken = ">=0.7,<1"
 
 [[package]]
 name = "langchain-pinecone"
-version = "0.1.0"
+version = "0.1.1"
 description = "An integration package connecting Pinecone and LangChain"
 optional = false
 python-versions = "<3.13,>=3.8.1"
 files = [
-    {file = "langchain_pinecone-0.1.0-py3-none-any.whl", hash = "sha256:d957f27b1cceab425c3e8603c7a32533d4593ce8705242e78f6dc03aa71cf417"},
-    {file = "langchain_pinecone-0.1.0.tar.gz", hash = "sha256:93f81e7c3926027cc6a87b001ee4d2e02a432a916709dbd395162b342bf84586"},
+    {file = "langchain_pinecone-0.1.1-py3-none-any.whl", hash = "sha256:d2c2d11664533d75f9a5afa9a16e2a300f45e3f584250585c7145a8694298a21"},
+    {file = "langchain_pinecone-0.1.1.tar.gz", hash = "sha256:e33492443ede67c56ed08b0cf8642a1fd93585869cb5afd23606b429f1b2c61a"},
 ]
 
 [package.dependencies]
-langchain-core = ">=0.1.40,<0.2.0"
+langchain-core = ">=0.1.52,<0.3"
 numpy = ">=1,<2"
 pinecone-client = ">=3.2.2,<4.0.0"
 
 [[package]]
 name = "langchain-text-splitters"
-version = "0.0.1"
+version = "0.2.1"
 description = "LangChain text splitting utilities"
 optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_text_splitters-0.0.1-py3-none-any.whl", hash = "sha256:f5b802f873f5ff6a8b9259ff34d53ed989666ef4e1582e6d1adb3b5520e3839a"},
-    {file = "langchain_text_splitters-0.0.1.tar.gz", hash = "sha256:ac459fa98799f5117ad5425a9330b21961321e30bc19a2a2f9f761ddadd62aa1"},
+    {file = "langchain_text_splitters-0.2.1-py3-none-any.whl", hash = "sha256:c2774a85f17189eaca50339629d2316d13130d4a8d9f1a1a96f3a03670c4a138"},
+    {file = "langchain_text_splitters-0.2.1.tar.gz", hash = "sha256:06853d17d7241ecf5c97c7b6ef01f600f9b0fb953dd997838142a527a4f32ea4"},
 ]
 
 [package.dependencies]
-langchain-core = ">=0.1.28,<0.2.0"
+langchain-core = ">=0.2.0,<0.3.0"
 
 [package.extras]
-extended-testing = ["lxml (>=5.1.0,<6.0.0)"]
+extended-testing = ["beautifulsoup4 (>=4.12.3,<5.0.0)", "lxml (>=4.9.3,<6.0)"]
+
+[[package]]
+name = "langchainhub"
+version = "0.1.20"
+description = "The LangChain Hub API client"
+optional = false
+python-versions = "<4.0,>=3.8.1"
+files = [
+    {file = "langchainhub-0.1.20-py3-none-any.whl", hash = "sha256:b3cbb5b2d7d6f9c3f89748bcc74424d8030ed4ebca58b5f44e0b6d9f111e33eb"},
+    {file = "langchainhub-0.1.20.tar.gz", hash = "sha256:499fa8958233071f35750987f325005d16241bebd455163955b607c195c37f25"},
+]
+
+[package.dependencies]
+packaging = ">=23.2,<25"
+requests = ">=2,<3"
+types-requests = ">=2.31.0.2,<3.0.0.0"
 
 [[package]]
 name = "langdetect"
@@ -3641,15 +4440,73 @@ files = [
 [package.dependencies]
 six = "*"
 
+[[package]]
+name = "langflow-base"
+version = "0.0.76"
+description = "A Python package with a built-in web application"
+optional = false
+python-versions = ">=3.10,<3.13"
+files = []
+develop = true
+
+[package.dependencies]
+alembic = "^1.13.0"
+asyncer = "^0.0.5"
+bcrypt = "4.0.1"
+cachetools = "^5.3.1"
+chardet = "^5.2.0"
+cryptography = "^42.0.5"
+docstring-parser = "^0.15"
+duckdb = "^1.0.0"
+emoji = "^2.12.0"
+fastapi = "^0.111.0"
+gunicorn = "^22.0.0"
+httpx = "*"
+jq = {version = "^1.7.0", markers = "sys_platform != \"win32\""}
+langchain = "~0.2.0"
+langchain-experimental = "*"
+langchainhub = "~0.1.15"
+loguru = "^0.7.1"
+multiprocess = "^0.70.14"
+nest-asyncio = "^1.6.0"
+orjson = "3.10.0"
+pandas = "2.2.0"
+passlib = "^1.7.4"
+pillow = "^10.2.0"
+platformdirs = "^4.2.0"
+pydantic = "^2.7.0"
+pydantic-settings = "^2.2.0"
+pypdf = "^4.2.0"
+pyperclip = "^1.8.2"
+python-docx = "^1.1.0"
+python-jose = "^3.3.0"
+python-multipart = "^0.0.7"
+rich = "^13.7.0"
+sentry-sdk = {version = "^2.5.1", extras = ["fastapi", "loguru"]}
+sqlmodel = "^0.0.18"
+typer = "^0.12.0"
+uncurl = "^0.0.11"
+uvicorn = "^0.30.0"
+websockets = "*"
+
+[package.extras]
+all = []
+deploy = []
+local = []
+
+[package.source]
+type = "directory"
+url = "src/backend/base"
+
 [[package]]
 name = "langfuse"
-version = "2.29.1"
+version = "2.36.2"
 description = "A client library for accessing langfuse"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langfuse-2.29.1-py3-none-any.whl", hash = "sha256:73819e8c62c9aa5de531ee9aa986b50bf6090eda300c10243fff2a0ffdb1e48e"},
-    {file = "langfuse-2.29.1.tar.gz", hash = "sha256:320a5e739863f500292ecc1eeb75648eb7337af6cf38ce21c1f50f7767796840"},
+    {file = "langfuse-2.36.2-py3-none-any.whl", hash = "sha256:66728feddcec0974e4eb31612151a282fcce2e333b5a61474182b5e67e78e090"},
+    {file = "langfuse-2.36.2.tar.gz", hash = "sha256:3e784505d408aa2c9c2da79487b64d185d8f7fa8a855e5303bcce678454c715b"},
 ]
 
 [package.dependencies]
@@ -3667,13 +4524,13 @@ openai = ["openai (>=0.27.8)"]
 
 [[package]]
 name = "langsmith"
-version = "0.1.54"
+version = "0.1.81"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langsmith-0.1.54-py3-none-any.whl", hash = "sha256:e8ba2758dbdff0fccb35337c28a5ab641dd980b22e178d390b72a15c9ae9caff"},
-    {file = "langsmith-0.1.54.tar.gz", hash = "sha256:86f5a90e48303de897f37a893f8bb635eabdaf23e674099e8bc0f2e9ca2f8faf"},
+    {file = "langsmith-0.1.81-py3-none-any.whl", hash = "sha256:3251d823225eef23ee541980b9d9e506367eabbb7f985a086b5d09e8f78ba7e9"},
+    {file = "langsmith-0.1.81.tar.gz", hash = "sha256:585ef3a2251380bd2843a664c9a28da4a7d28432e3ee8bcebf291ffb8e1f0af0"},
 ]
 
 [package.dependencies]
@@ -3682,30 +4539,41 @@ pydantic = ">=1,<3"
 requests = ">=2,<3"
 
 [[package]]
-name = "lark"
-version = "1.1.8"
-description = "a modern parsing library"
+name = "litellm"
+version = "1.40.25"
+description = "Library to easily interface with LLM API providers"
 optional = false
-python-versions = ">=3.6"
+python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8"
 files = [
-    {file = "lark-1.1.8-py3-none-any.whl", hash = "sha256:7d2c221a66a8165f3f81aacb958d26033d40d972fdb70213ab0a2e0627e29c86"},
-    {file = "lark-1.1.8.tar.gz", hash = "sha256:7ef424db57f59c1ffd6f0d4c2b705119927f566b68c0fe1942dddcc0e44391a5"},
+    {file = "litellm-1.40.25-py3-none-any.whl", hash = "sha256:94bff834ca92338223bed474fe614ab30a706681a596e1e38ea60fe8a574a7a8"},
+    {file = "litellm-1.40.25.tar.gz", hash = "sha256:437d515274b8cc901d527fbf14ce46599700225f4e1dae2d19b46b446e402b08"},
 ]
 
+[package.dependencies]
+aiohttp = "*"
+click = "*"
+ijson = "*"
+importlib-metadata = ">=6.8.0"
+jinja2 = ">=3.1.2,<4.0.0"
+openai = ">=1.27.0"
+pydantic = ">=2.0.0,<3.0.0"
+python-dotenv = ">=0.2.0"
+requests = ">=2.31.0,<3.0.0"
+tiktoken = ">=0.7.0"
+tokenizers = "*"
+
 [package.extras]
-atomic-cache = ["atomicwrites"]
-interegular = ["interegular (>=0.3.1,<0.4.0)"]
-nearley = ["js2py"]
-regex = ["regex"]
+extra-proxy = ["azure-identity (>=1.15.0,<2.0.0)", "azure-keyvault-secrets (>=4.8.0,<5.0.0)", "google-cloud-kms (>=2.21.3,<3.0.0)", "prisma (==0.11.0)", "resend (>=0.8.0,<0.9.0)"]
+proxy = ["PyJWT (>=2.8.0,<3.0.0)", "apscheduler (>=3.10.4,<4.0.0)", "backoff", "cryptography (>=42.0.5,<43.0.0)", "fastapi (>=0.111.0,<0.112.0)", "fastapi-sso (>=0.10.0,<0.11.0)", "gunicorn (>=22.0.0,<23.0.0)", "orjson (>=3.9.7,<4.0.0)", "python-multipart (>=0.0.9,<0.0.10)", "pyyaml (>=6.0.1,<7.0.0)", "rq", "uvicorn (>=0.22.0,<0.23.0)"]
 
 [[package]]
 name = "llama-cpp-python"
-version = "0.2.69"
+version = "0.2.79"
 description = "Python bindings for the llama.cpp library"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "llama_cpp_python-0.2.69.tar.gz", hash = "sha256:b37e864b4d9f7ac286a3e926d87afab2f136ae9290e11088f7a205b80d3c04a9"},
+    {file = "llama_cpp_python-0.2.79.tar.gz", hash = "sha256:19406225a37d816dc2fb911ba8e3ff2a48880dd79754820c55ed85ebc8238da4"},
 ]
 
 [package.dependencies]
@@ -3720,54 +4588,15 @@ dev = ["black (>=23.3.0)", "httpx (>=0.24.1)", "mkdocs (>=1.4.3)", "mkdocs-mater
 server = ["PyYAML (>=5.1)", "fastapi (>=0.100.0)", "pydantic-settings (>=2.0.1)", "sse-starlette (>=1.6.1)", "starlette-context (>=0.3.6,<0.4)", "uvicorn (>=0.22.0)"]
 test = ["httpx (>=0.24.1)", "pytest (>=7.4.0)", "scipy (>=1.10)"]
 
-[[package]]
-name = "llama-index"
-version = "0.9.48"
-description = "Interface between LLMs and your data"
-optional = false
-python-versions = ">=3.8.1,<4.0"
-files = [
-    {file = "llama_index-0.9.48-py3-none-any.whl", hash = "sha256:56aa406d39e7ca53a5d990b55d69901fbb9eddc9af6a40950367dc5d734f6283"},
-    {file = "llama_index-0.9.48.tar.gz", hash = "sha256:c50d02ac8c7e4ff9fb41f0860391fe0020ad8a3d7c30048db52d17d8be654bf3"},
-]
-
-[package.dependencies]
-aiohttp = ">=3.8.6,<4.0.0"
-dataclasses-json = "*"
-deprecated = ">=1.2.9.3"
-dirtyjson = ">=1.0.8,<2.0.0"
-fsspec = ">=2023.5.0"
-httpx = "*"
-nest-asyncio = ">=1.5.8,<2.0.0"
-networkx = ">=3.0"
-nltk = ">=3.8.1,<4.0.0"
-numpy = "*"
-openai = ">=1.1.0"
-pandas = "*"
-requests = ">=2.31.0"
-SQLAlchemy = {version = ">=1.4.49", extras = ["asyncio"]}
-tenacity = ">=8.2.0,<9.0.0"
-tiktoken = ">=0.3.3"
-typing-extensions = ">=4.5.0"
-typing-inspect = ">=0.8.0"
-
-[package.extras]
-gradientai = ["gradientai (>=1.4.0)"]
-html = ["beautifulsoup4 (>=4.12.2,<5.0.0)"]
-langchain = ["langchain (>=0.0.303)"]
-local-models = ["optimum[onnxruntime] (>=1.13.2,<2.0.0)", "sentencepiece (>=0.1.99,<0.2.0)", "transformers[torch] (>=4.33.1,<5.0.0)"]
-postgres = ["asyncpg (>=0.28.0,<0.29.0)", "pgvector (>=0.1.0,<0.2.0)", "psycopg2-binary (>=2.9.9,<3.0.0)"]
-query-tools = ["guidance (>=0.0.64,<0.0.65)", "jsonpath-ng (>=1.6.0,<2.0.0)", "lm-format-enforcer (>=0.4.3,<0.5.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "scikit-learn", "spacy (>=3.7.1,<4.0.0)"]
-
 [[package]]
 name = "locust"
-version = "2.27.0"
-description = "Developer friendly load testing framework"
+version = "2.29.0"
+description = "Developer-friendly load testing framework"
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "locust-2.27.0-py3-none-any.whl", hash = "sha256:c4db5747eb9a3851216deae8147143d335db41978a9291ac32e113fa9ec8ad39"},
-    {file = "locust-2.27.0.tar.gz", hash = "sha256:0c6d3d2523976dafe734012c41b2f7d9ad7120cbcea76d47d80cec5d6d139905"},
+    {file = "locust-2.29.0-py3-none-any.whl", hash = "sha256:aa9d94d3604ed9f2aab3248460d91e55d3de980a821dffdf8658b439b049d03f"},
+    {file = "locust-2.29.0.tar.gz", hash = "sha256:649c99ce49d00720a3084c0109547035ad9021222835386599a8b545d31ebe51"},
 ]
 
 [package.dependencies]
@@ -3776,12 +4605,15 @@ flask = ">=2.0.0"
 Flask-Cors = ">=3.0.10"
 Flask-Login = ">=0.6.3"
 gevent = ">=22.10.2"
-geventhttpclient = "2.2.1"
+geventhttpclient = ">=2.3.1"
 msgpack = ">=1.0.0"
 psutil = ">=5.9.1"
 pywin32 = {version = "*", markers = "platform_system == \"Windows\""}
 pyzmq = ">=25.0.0"
-requests = ">=2.26.0"
+requests = [
+    {version = ">=2.26.0", markers = "python_version <= \"3.11\""},
+    {version = ">=2.32.2", markers = "python_version > \"3.11\""},
+]
 tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
 Werkzeug = ">=2.0.0"
 
@@ -3805,121 +4637,171 @@ dev = ["Sphinx (==7.2.5)", "colorama (==0.4.5)", "colorama (==0.4.6)", "exceptio
 
 [[package]]
 name = "lxml"
-version = "4.9.4"
+version = "5.2.2"
 description = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API."
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, != 3.4.*"
-files = [
-    {file = "lxml-4.9.4-cp27-cp27m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:e214025e23db238805a600f1f37bf9f9a15413c7bf5f9d6ae194f84980c78722"},
-    {file = "lxml-4.9.4-cp27-cp27m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:ec53a09aee61d45e7dbe7e91252ff0491b6b5fee3d85b2d45b173d8ab453efc1"},
-    {file = "lxml-4.9.4-cp27-cp27m-win32.whl", hash = "sha256:7d1d6c9e74c70ddf524e3c09d9dc0522aba9370708c2cb58680ea40174800013"},
-    {file = "lxml-4.9.4-cp27-cp27m-win_amd64.whl", hash = "sha256:cb53669442895763e61df5c995f0e8361b61662f26c1b04ee82899c2789c8f69"},
-    {file = "lxml-4.9.4-cp27-cp27mu-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:647bfe88b1997d7ae8d45dabc7c868d8cb0c8412a6e730a7651050b8c7289cf2"},
-    {file = "lxml-4.9.4-cp27-cp27mu-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:4d973729ce04784906a19108054e1fd476bc85279a403ea1a72fdb051c76fa48"},
-    {file = "lxml-4.9.4-cp310-cp310-macosx_11_0_x86_64.whl", hash = "sha256:056a17eaaf3da87a05523472ae84246f87ac2f29a53306466c22e60282e54ff8"},
-    {file = "lxml-4.9.4-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_24_i686.whl", hash = "sha256:aaa5c173a26960fe67daa69aa93d6d6a1cd714a6eb13802d4e4bd1d24a530644"},
-    {file = "lxml-4.9.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_24_aarch64.whl", hash = "sha256:647459b23594f370c1c01768edaa0ba0959afc39caeeb793b43158bb9bb6a663"},
-    {file = "lxml-4.9.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl", hash = "sha256:bdd9abccd0927673cffe601d2c6cdad1c9321bf3437a2f507d6b037ef91ea307"},
-    {file = "lxml-4.9.4-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:00e91573183ad273e242db5585b52670eddf92bacad095ce25c1e682da14ed91"},
-    {file = "lxml-4.9.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:a602ed9bd2c7d85bd58592c28e101bd9ff9c718fbde06545a70945ffd5d11868"},
-    {file = "lxml-4.9.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:de362ac8bc962408ad8fae28f3967ce1a262b5d63ab8cefb42662566737f1dc7"},
-    {file = "lxml-4.9.4-cp310-cp310-win32.whl", hash = "sha256:33714fcf5af4ff7e70a49731a7cc8fd9ce910b9ac194f66eaa18c3cc0a4c02be"},
-    {file = "lxml-4.9.4-cp310-cp310-win_amd64.whl", hash = "sha256:d3caa09e613ece43ac292fbed513a4bce170681a447d25ffcbc1b647d45a39c5"},
-    {file = "lxml-4.9.4-cp311-cp311-macosx_11_0_universal2.whl", hash = "sha256:359a8b09d712df27849e0bcb62c6a3404e780b274b0b7e4c39a88826d1926c28"},
-    {file = "lxml-4.9.4-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_24_i686.whl", hash = "sha256:43498ea734ccdfb92e1886dfedaebeb81178a241d39a79d5351ba2b671bff2b2"},
-    {file = "lxml-4.9.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_24_aarch64.whl", hash = "sha256:4855161013dfb2b762e02b3f4d4a21cc7c6aec13c69e3bffbf5022b3e708dd97"},
-    {file = "lxml-4.9.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl", hash = "sha256:c71b5b860c5215fdbaa56f715bc218e45a98477f816b46cfde4a84d25b13274e"},
-    {file = "lxml-4.9.4-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:9a2b5915c333e4364367140443b59f09feae42184459b913f0f41b9fed55794a"},
-    {file = "lxml-4.9.4-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:d82411dbf4d3127b6cde7da0f9373e37ad3a43e89ef374965465928f01c2b979"},
-    {file = "lxml-4.9.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:273473d34462ae6e97c0f4e517bd1bf9588aa67a1d47d93f760a1282640e24ac"},
-    {file = "lxml-4.9.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:389d2b2e543b27962990ab529ac6720c3dded588cc6d0f6557eec153305a3622"},
-    {file = "lxml-4.9.4-cp311-cp311-win32.whl", hash = "sha256:8aecb5a7f6f7f8fe9cac0bcadd39efaca8bbf8d1bf242e9f175cbe4c925116c3"},
-    {file = "lxml-4.9.4-cp311-cp311-win_amd64.whl", hash = "sha256:c7721a3ef41591341388bb2265395ce522aba52f969d33dacd822da8f018aff8"},
-    {file = "lxml-4.9.4-cp312-cp312-macosx_11_0_universal2.whl", hash = "sha256:dbcb2dc07308453db428a95a4d03259bd8caea97d7f0776842299f2d00c72fc8"},
-    {file = "lxml-4.9.4-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:01bf1df1db327e748dcb152d17389cf6d0a8c5d533ef9bab781e9d5037619229"},
-    {file = "lxml-4.9.4-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:e8f9f93a23634cfafbad6e46ad7d09e0f4a25a2400e4a64b1b7b7c0fbaa06d9d"},
-    {file = "lxml-4.9.4-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:3f3f00a9061605725df1816f5713d10cd94636347ed651abdbc75828df302b20"},
-    {file = "lxml-4.9.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:953dd5481bd6252bd480d6ec431f61d7d87fdcbbb71b0d2bdcfc6ae00bb6fb10"},
-    {file = "lxml-4.9.4-cp312-cp312-win32.whl", hash = "sha256:266f655d1baff9c47b52f529b5f6bec33f66042f65f7c56adde3fcf2ed62ae8b"},
-    {file = "lxml-4.9.4-cp312-cp312-win_amd64.whl", hash = "sha256:f1faee2a831fe249e1bae9cbc68d3cd8a30f7e37851deee4d7962b17c410dd56"},
-    {file = "lxml-4.9.4-cp35-cp35m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:23d891e5bdc12e2e506e7d225d6aa929e0a0368c9916c1fddefab88166e98b20"},
-    {file = "lxml-4.9.4-cp35-cp35m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:e96a1788f24d03e8d61679f9881a883ecdf9c445a38f9ae3f3f193ab6c591c66"},
-    {file = "lxml-4.9.4-cp36-cp36m-macosx_11_0_x86_64.whl", hash = "sha256:5557461f83bb7cc718bc9ee1f7156d50e31747e5b38d79cf40f79ab1447afd2d"},
-    {file = "lxml-4.9.4-cp36-cp36m-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_24_i686.whl", hash = "sha256:fdb325b7fba1e2c40b9b1db407f85642e32404131c08480dd652110fc908561b"},
-    {file = "lxml-4.9.4-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3d74d4a3c4b8f7a1f676cedf8e84bcc57705a6d7925e6daef7a1e54ae543a197"},
-    {file = "lxml-4.9.4-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl", hash = "sha256:ac7674d1638df129d9cb4503d20ffc3922bd463c865ef3cb412f2c926108e9a4"},
-    {file = "lxml-4.9.4-cp36-cp36m-manylinux_2_28_x86_64.whl", hash = "sha256:ddd92e18b783aeb86ad2132d84a4b795fc5ec612e3545c1b687e7747e66e2b53"},
-    {file = "lxml-4.9.4-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:2bd9ac6e44f2db368ef8986f3989a4cad3de4cd55dbdda536e253000c801bcc7"},
-    {file = "lxml-4.9.4-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:bc354b1393dce46026ab13075f77b30e40b61b1a53e852e99d3cc5dd1af4bc85"},
-    {file = "lxml-4.9.4-cp36-cp36m-musllinux_1_1_aarch64.whl", hash = "sha256:f836f39678cb47c9541f04d8ed4545719dc31ad850bf1832d6b4171e30d65d23"},
-    {file = "lxml-4.9.4-cp36-cp36m-musllinux_1_1_x86_64.whl", hash = "sha256:9c131447768ed7bc05a02553d939e7f0e807e533441901dd504e217b76307745"},
-    {file = "lxml-4.9.4-cp36-cp36m-win32.whl", hash = "sha256:bafa65e3acae612a7799ada439bd202403414ebe23f52e5b17f6ffc2eb98c2be"},
-    {file = "lxml-4.9.4-cp36-cp36m-win_amd64.whl", hash = "sha256:6197c3f3c0b960ad033b9b7d611db11285bb461fc6b802c1dd50d04ad715c225"},
-    {file = "lxml-4.9.4-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_24_i686.whl", hash = "sha256:7b378847a09d6bd46047f5f3599cdc64fcb4cc5a5a2dd0a2af610361fbe77b16"},
-    {file = "lxml-4.9.4-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_24_aarch64.whl", hash = "sha256:1343df4e2e6e51182aad12162b23b0a4b3fd77f17527a78c53f0f23573663545"},
-    {file = "lxml-4.9.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl", hash = "sha256:6dbdacf5752fbd78ccdb434698230c4f0f95df7dd956d5f205b5ed6911a1367c"},
-    {file = "lxml-4.9.4-cp37-cp37m-manylinux_2_28_x86_64.whl", hash = "sha256:506becdf2ecaebaf7f7995f776394fcc8bd8a78022772de66677c84fb02dd33d"},
-    {file = "lxml-4.9.4-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:ca8e44b5ba3edb682ea4e6185b49661fc22b230cf811b9c13963c9f982d1d964"},
-    {file = "lxml-4.9.4-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:9d9d5726474cbbef279fd709008f91a49c4f758bec9c062dfbba88eab00e3ff9"},
-    {file = "lxml-4.9.4-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:bbdd69e20fe2943b51e2841fc1e6a3c1de460d630f65bde12452d8c97209464d"},
-    {file = "lxml-4.9.4-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:8671622256a0859f5089cbe0ce4693c2af407bc053dcc99aadff7f5310b4aa02"},
-    {file = "lxml-4.9.4-cp37-cp37m-win32.whl", hash = "sha256:dd4fda67f5faaef4f9ee5383435048ee3e11ad996901225ad7615bc92245bc8e"},
-    {file = "lxml-4.9.4-cp37-cp37m-win_amd64.whl", hash = "sha256:6bee9c2e501d835f91460b2c904bc359f8433e96799f5c2ff20feebd9bb1e590"},
-    {file = "lxml-4.9.4-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_24_i686.whl", hash = "sha256:1f10f250430a4caf84115b1e0f23f3615566ca2369d1962f82bef40dd99cd81a"},
-    {file = "lxml-4.9.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_24_aarch64.whl", hash = "sha256:3b505f2bbff50d261176e67be24e8909e54b5d9d08b12d4946344066d66b3e43"},
-    {file = "lxml-4.9.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl", hash = "sha256:1449f9451cd53e0fd0a7ec2ff5ede4686add13ac7a7bfa6988ff6d75cff3ebe2"},
-    {file = "lxml-4.9.4-cp38-cp38-manylinux_2_28_x86_64.whl", hash = "sha256:4ece9cca4cd1c8ba889bfa67eae7f21d0d1a2e715b4d5045395113361e8c533d"},
-    {file = "lxml-4.9.4-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:59bb5979f9941c61e907ee571732219fa4774d5a18f3fa5ff2df963f5dfaa6bc"},
-    {file = "lxml-4.9.4-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:b1980dbcaad634fe78e710c8587383e6e3f61dbe146bcbfd13a9c8ab2d7b1192"},
-    {file = "lxml-4.9.4-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:9ae6c3363261021144121427b1552b29e7b59de9d6a75bf51e03bc072efb3c37"},
-    {file = "lxml-4.9.4-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:bcee502c649fa6351b44bb014b98c09cb00982a475a1912a9881ca28ab4f9cd9"},
-    {file = "lxml-4.9.4-cp38-cp38-win32.whl", hash = "sha256:a8edae5253efa75c2fc79a90068fe540b197d1c7ab5803b800fccfe240eed33c"},
-    {file = "lxml-4.9.4-cp38-cp38-win_amd64.whl", hash = "sha256:701847a7aaefef121c5c0d855b2affa5f9bd45196ef00266724a80e439220e46"},
-    {file = "lxml-4.9.4-cp39-cp39-macosx_11_0_x86_64.whl", hash = "sha256:f610d980e3fccf4394ab3806de6065682982f3d27c12d4ce3ee46a8183d64a6a"},
-    {file = "lxml-4.9.4-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_24_i686.whl", hash = "sha256:aa9b5abd07f71b081a33115d9758ef6077924082055005808f68feccb27616bd"},
-    {file = "lxml-4.9.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_24_aarch64.whl", hash = "sha256:365005e8b0718ea6d64b374423e870648ab47c3a905356ab6e5a5ff03962b9a9"},
-    {file = "lxml-4.9.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl", hash = "sha256:16b9ec51cc2feab009e800f2c6327338d6ee4e752c76e95a35c4465e80390ccd"},
-    {file = "lxml-4.9.4-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:a905affe76f1802edcac554e3ccf68188bea16546071d7583fb1b693f9cf756b"},
-    {file = "lxml-4.9.4-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:fd814847901df6e8de13ce69b84c31fc9b3fb591224d6762d0b256d510cbf382"},
-    {file = "lxml-4.9.4-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:91bbf398ac8bb7d65a5a52127407c05f75a18d7015a270fdd94bbcb04e65d573"},
-    {file = "lxml-4.9.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:f99768232f036b4776ce419d3244a04fe83784bce871b16d2c2e984c7fcea847"},
-    {file = "lxml-4.9.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:bb5bd6212eb0edfd1e8f254585290ea1dadc3687dd8fd5e2fd9a87c31915cdab"},
-    {file = "lxml-4.9.4-cp39-cp39-win32.whl", hash = "sha256:88f7c383071981c74ec1998ba9b437659e4fd02a3c4a4d3efc16774eb108d0ec"},
-    {file = "lxml-4.9.4-cp39-cp39-win_amd64.whl", hash = "sha256:936e8880cc00f839aa4173f94466a8406a96ddce814651075f95837316369899"},
-    {file = "lxml-4.9.4-pp310-pypy310_pp73-macosx_11_0_x86_64.whl", hash = "sha256:f6c35b2f87c004270fa2e703b872fcc984d714d430b305145c39d53074e1ffe0"},
-    {file = "lxml-4.9.4-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:606d445feeb0856c2b424405236a01c71af7c97e5fe42fbc778634faef2b47e4"},
-    {file = "lxml-4.9.4-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:a1bdcbebd4e13446a14de4dd1825f1e778e099f17f79718b4aeaf2403624b0f7"},
-    {file = "lxml-4.9.4-pp37-pypy37_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_24_i686.whl", hash = "sha256:0a08c89b23117049ba171bf51d2f9c5f3abf507d65d016d6e0fa2f37e18c0fc5"},
-    {file = "lxml-4.9.4-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl", hash = "sha256:232fd30903d3123be4c435fb5159938c6225ee8607b635a4d3fca847003134ba"},
-    {file = "lxml-4.9.4-pp37-pypy37_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:231142459d32779b209aa4b4d460b175cadd604fed856f25c1571a9d78114771"},
-    {file = "lxml-4.9.4-pp38-pypy38_pp73-macosx_11_0_x86_64.whl", hash = "sha256:520486f27f1d4ce9654154b4494cf9307b495527f3a2908ad4cb48e4f7ed7ef7"},
-    {file = "lxml-4.9.4-pp38-pypy38_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_24_i686.whl", hash = "sha256:562778586949be7e0d7435fcb24aca4810913771f845d99145a6cee64d5b67ca"},
-    {file = "lxml-4.9.4-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl", hash = "sha256:a9e7c6d89c77bb2770c9491d988f26a4b161d05c8ca58f63fb1f1b6b9a74be45"},
-    {file = "lxml-4.9.4-pp38-pypy38_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:786d6b57026e7e04d184313c1359ac3d68002c33e4b1042ca58c362f1d09ff58"},
-    {file = "lxml-4.9.4-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:95ae6c5a196e2f239150aa4a479967351df7f44800c93e5a975ec726fef005e2"},
-    {file = "lxml-4.9.4-pp39-pypy39_pp73-macosx_11_0_x86_64.whl", hash = "sha256:9b556596c49fa1232b0fff4b0e69b9d4083a502e60e404b44341e2f8fb7187f5"},
-    {file = "lxml-4.9.4-pp39-pypy39_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_24_i686.whl", hash = "sha256:cc02c06e9e320869d7d1bd323df6dd4281e78ac2e7f8526835d3d48c69060683"},
-    {file = "lxml-4.9.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl", hash = "sha256:857d6565f9aa3464764c2cb6a2e3c2e75e1970e877c188f4aeae45954a314e0c"},
-    {file = "lxml-4.9.4-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:c42ae7e010d7d6bc51875d768110c10e8a59494855c3d4c348b068f5fb81fdcd"},
-    {file = "lxml-4.9.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:f10250bb190fb0742e3e1958dd5c100524c2cc5096c67c8da51233f7448dc137"},
-    {file = "lxml-4.9.4.tar.gz", hash = "sha256:b1541e50b78e15fa06a2670157a1962ef06591d4c998b998047fff5e3236880e"},
+python-versions = ">=3.6"
+files = [
+    {file = "lxml-5.2.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:364d03207f3e603922d0d3932ef363d55bbf48e3647395765f9bfcbdf6d23632"},
+    {file = "lxml-5.2.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:50127c186f191b8917ea2fb8b206fbebe87fd414a6084d15568c27d0a21d60db"},
+    {file = "lxml-5.2.2-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:74e4f025ef3db1c6da4460dd27c118d8cd136d0391da4e387a15e48e5c975147"},
+    {file = "lxml-5.2.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:981a06a3076997adf7c743dcd0d7a0415582661e2517c7d961493572e909aa1d"},
+    {file = "lxml-5.2.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:aef5474d913d3b05e613906ba4090433c515e13ea49c837aca18bde190853dff"},
+    {file = "lxml-5.2.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1e275ea572389e41e8b039ac076a46cb87ee6b8542df3fff26f5baab43713bca"},
+    {file = "lxml-5.2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f5b65529bb2f21ac7861a0e94fdbf5dc0daab41497d18223b46ee8515e5ad297"},
+    {file = "lxml-5.2.2-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:bcc98f911f10278d1daf14b87d65325851a1d29153caaf146877ec37031d5f36"},
+    {file = "lxml-5.2.2-cp310-cp310-manylinux_2_28_ppc64le.whl", hash = "sha256:b47633251727c8fe279f34025844b3b3a3e40cd1b198356d003aa146258d13a2"},
+    {file = "lxml-5.2.2-cp310-cp310-manylinux_2_28_s390x.whl", hash = "sha256:fbc9d316552f9ef7bba39f4edfad4a734d3d6f93341232a9dddadec4f15d425f"},
+    {file = "lxml-5.2.2-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:13e69be35391ce72712184f69000cda04fc89689429179bc4c0ae5f0b7a8c21b"},
+    {file = "lxml-5.2.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:3b6a30a9ab040b3f545b697cb3adbf3696c05a3a68aad172e3fd7ca73ab3c835"},
+    {file = "lxml-5.2.2-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:a233bb68625a85126ac9f1fc66d24337d6e8a0f9207b688eec2e7c880f012ec0"},
+    {file = "lxml-5.2.2-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:dfa7c241073d8f2b8e8dbc7803c434f57dbb83ae2a3d7892dd068d99e96efe2c"},
+    {file = "lxml-5.2.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:1a7aca7964ac4bb07680d5c9d63b9d7028cace3e2d43175cb50bba8c5ad33316"},
+    {file = "lxml-5.2.2-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:ae4073a60ab98529ab8a72ebf429f2a8cc612619a8c04e08bed27450d52103c0"},
+    {file = "lxml-5.2.2-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:ffb2be176fed4457e445fe540617f0252a72a8bc56208fd65a690fdb1f57660b"},
+    {file = "lxml-5.2.2-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:e290d79a4107d7d794634ce3e985b9ae4f920380a813717adf61804904dc4393"},
+    {file = "lxml-5.2.2-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:96e85aa09274955bb6bd483eaf5b12abadade01010478154b0ec70284c1b1526"},
+    {file = "lxml-5.2.2-cp310-cp310-win32.whl", hash = "sha256:f956196ef61369f1685d14dad80611488d8dc1ef00be57c0c5a03064005b0f30"},
+    {file = "lxml-5.2.2-cp310-cp310-win_amd64.whl", hash = "sha256:875a3f90d7eb5c5d77e529080d95140eacb3c6d13ad5b616ee8095447b1d22e7"},
+    {file = "lxml-5.2.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:45f9494613160d0405682f9eee781c7e6d1bf45f819654eb249f8f46a2c22545"},
+    {file = "lxml-5.2.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b0b3f2df149efb242cee2ffdeb6674b7f30d23c9a7af26595099afaf46ef4e88"},
+    {file = "lxml-5.2.2-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d28cb356f119a437cc58a13f8135ab8a4c8ece18159eb9194b0d269ec4e28083"},
+    {file = "lxml-5.2.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:657a972f46bbefdbba2d4f14413c0d079f9ae243bd68193cb5061b9732fa54c1"},
+    {file = "lxml-5.2.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b74b9ea10063efb77a965a8d5f4182806fbf59ed068b3c3fd6f30d2ac7bee734"},
+    {file = "lxml-5.2.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:07542787f86112d46d07d4f3c4e7c760282011b354d012dc4141cc12a68cef5f"},
+    {file = "lxml-5.2.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:303f540ad2dddd35b92415b74b900c749ec2010e703ab3bfd6660979d01fd4ed"},
+    {file = "lxml-5.2.2-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:2eb2227ce1ff998faf0cd7fe85bbf086aa41dfc5af3b1d80867ecfe75fb68df3"},
+    {file = "lxml-5.2.2-cp311-cp311-manylinux_2_28_ppc64le.whl", hash = "sha256:1d8a701774dfc42a2f0b8ccdfe7dbc140500d1049e0632a611985d943fcf12df"},
+    {file = "lxml-5.2.2-cp311-cp311-manylinux_2_28_s390x.whl", hash = "sha256:56793b7a1a091a7c286b5f4aa1fe4ae5d1446fe742d00cdf2ffb1077865db10d"},
+    {file = "lxml-5.2.2-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:eb00b549b13bd6d884c863554566095bf6fa9c3cecb2e7b399c4bc7904cb33b5"},
+    {file = "lxml-5.2.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:1a2569a1f15ae6c8c64108a2cd2b4a858fc1e13d25846be0666fc144715e32ab"},
+    {file = "lxml-5.2.2-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:8cf85a6e40ff1f37fe0f25719aadf443686b1ac7652593dc53c7ef9b8492b115"},
+    {file = "lxml-5.2.2-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:d237ba6664b8e60fd90b8549a149a74fcc675272e0e95539a00522e4ca688b04"},
+    {file = "lxml-5.2.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:0b3f5016e00ae7630a4b83d0868fca1e3d494c78a75b1c7252606a3a1c5fc2ad"},
+    {file = "lxml-5.2.2-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:23441e2b5339bc54dc949e9e675fa35efe858108404ef9aa92f0456929ef6fe8"},
+    {file = "lxml-5.2.2-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:2fb0ba3e8566548d6c8e7dd82a8229ff47bd8fb8c2da237607ac8e5a1b8312e5"},
+    {file = "lxml-5.2.2-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:79d1fb9252e7e2cfe4de6e9a6610c7cbb99b9708e2c3e29057f487de5a9eaefa"},
+    {file = "lxml-5.2.2-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:6dcc3d17eac1df7859ae01202e9bb11ffa8c98949dcbeb1069c8b9a75917e01b"},
+    {file = "lxml-5.2.2-cp311-cp311-win32.whl", hash = "sha256:4c30a2f83677876465f44c018830f608fa3c6a8a466eb223535035fbc16f3438"},
+    {file = "lxml-5.2.2-cp311-cp311-win_amd64.whl", hash = "sha256:49095a38eb333aaf44c06052fd2ec3b8f23e19747ca7ec6f6c954ffea6dbf7be"},
+    {file = "lxml-5.2.2-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:7429e7faa1a60cad26ae4227f4dd0459efde239e494c7312624ce228e04f6391"},
+    {file = "lxml-5.2.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:50ccb5d355961c0f12f6cf24b7187dbabd5433f29e15147a67995474f27d1776"},
+    {file = "lxml-5.2.2-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:dc911208b18842a3a57266d8e51fc3cfaccee90a5351b92079beed912a7914c2"},
+    {file = "lxml-5.2.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:33ce9e786753743159799fdf8e92a5da351158c4bfb6f2db0bf31e7892a1feb5"},
+    {file = "lxml-5.2.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ec87c44f619380878bd49ca109669c9f221d9ae6883a5bcb3616785fa8f94c97"},
+    {file = "lxml-5.2.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:08ea0f606808354eb8f2dfaac095963cb25d9d28e27edcc375d7b30ab01abbf6"},
+    {file = "lxml-5.2.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:75a9632f1d4f698b2e6e2e1ada40e71f369b15d69baddb8968dcc8e683839b18"},
+    {file = "lxml-5.2.2-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:74da9f97daec6928567b48c90ea2c82a106b2d500f397eeb8941e47d30b1ca85"},
+    {file = "lxml-5.2.2-cp312-cp312-manylinux_2_28_ppc64le.whl", hash = "sha256:0969e92af09c5687d769731e3f39ed62427cc72176cebb54b7a9d52cc4fa3b73"},
+    {file = "lxml-5.2.2-cp312-cp312-manylinux_2_28_s390x.whl", hash = "sha256:9164361769b6ca7769079f4d426a41df6164879f7f3568be9086e15baca61466"},
+    {file = "lxml-5.2.2-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:d26a618ae1766279f2660aca0081b2220aca6bd1aa06b2cf73f07383faf48927"},
+    {file = "lxml-5.2.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:ab67ed772c584b7ef2379797bf14b82df9aa5f7438c5b9a09624dd834c1c1aaf"},
+    {file = "lxml-5.2.2-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:3d1e35572a56941b32c239774d7e9ad724074d37f90c7a7d499ab98761bd80cf"},
+    {file = "lxml-5.2.2-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:8268cbcd48c5375f46e000adb1390572c98879eb4f77910c6053d25cc3ac2c67"},
+    {file = "lxml-5.2.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:e282aedd63c639c07c3857097fc0e236f984ceb4089a8b284da1c526491e3f3d"},
+    {file = "lxml-5.2.2-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:6dfdc2bfe69e9adf0df4915949c22a25b39d175d599bf98e7ddf620a13678585"},
+    {file = "lxml-5.2.2-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:4aefd911793b5d2d7a921233a54c90329bf3d4a6817dc465f12ffdfe4fc7b8fe"},
+    {file = "lxml-5.2.2-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:8b8df03a9e995b6211dafa63b32f9d405881518ff1ddd775db4e7b98fb545e1c"},
+    {file = "lxml-5.2.2-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:f11ae142f3a322d44513de1018b50f474f8f736bc3cd91d969f464b5bfef8836"},
+    {file = "lxml-5.2.2-cp312-cp312-win32.whl", hash = "sha256:16a8326e51fcdffc886294c1e70b11ddccec836516a343f9ed0f82aac043c24a"},
+    {file = "lxml-5.2.2-cp312-cp312-win_amd64.whl", hash = "sha256:bbc4b80af581e18568ff07f6395c02114d05f4865c2812a1f02f2eaecf0bfd48"},
+    {file = "lxml-5.2.2-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:e3d9d13603410b72787579769469af730c38f2f25505573a5888a94b62b920f8"},
+    {file = "lxml-5.2.2-cp36-cp36m-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:38b67afb0a06b8575948641c1d6d68e41b83a3abeae2ca9eed2ac59892b36706"},
+    {file = "lxml-5.2.2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c689d0d5381f56de7bd6966a4541bff6e08bf8d3871bbd89a0c6ab18aa699573"},
+    {file = "lxml-5.2.2-cp36-cp36m-manylinux_2_28_x86_64.whl", hash = "sha256:cf2a978c795b54c539f47964ec05e35c05bd045db5ca1e8366988c7f2fe6b3ce"},
+    {file = "lxml-5.2.2-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:739e36ef7412b2bd940f75b278749106e6d025e40027c0b94a17ef7968d55d56"},
+    {file = "lxml-5.2.2-cp36-cp36m-musllinux_1_1_x86_64.whl", hash = "sha256:d8bbcd21769594dbba9c37d3c819e2d5847656ca99c747ddb31ac1701d0c0ed9"},
+    {file = "lxml-5.2.2-cp36-cp36m-musllinux_1_2_x86_64.whl", hash = "sha256:2304d3c93f2258ccf2cf7a6ba8c761d76ef84948d87bf9664e14d203da2cd264"},
+    {file = "lxml-5.2.2-cp36-cp36m-win32.whl", hash = "sha256:02437fb7308386867c8b7b0e5bc4cd4b04548b1c5d089ffb8e7b31009b961dc3"},
+    {file = "lxml-5.2.2-cp36-cp36m-win_amd64.whl", hash = "sha256:edcfa83e03370032a489430215c1e7783128808fd3e2e0a3225deee278585196"},
+    {file = "lxml-5.2.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:28bf95177400066596cdbcfc933312493799382879da504633d16cf60bba735b"},
+    {file = "lxml-5.2.2-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3a745cc98d504d5bd2c19b10c79c61c7c3df9222629f1b6210c0368177589fb8"},
+    {file = "lxml-5.2.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1b590b39ef90c6b22ec0be925b211298e810b4856909c8ca60d27ffbca6c12e6"},
+    {file = "lxml-5.2.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b336b0416828022bfd5a2e3083e7f5ba54b96242159f83c7e3eebaec752f1716"},
+    {file = "lxml-5.2.2-cp37-cp37m-manylinux_2_28_aarch64.whl", hash = "sha256:c2faf60c583af0d135e853c86ac2735ce178f0e338a3c7f9ae8f622fd2eb788c"},
+    {file = "lxml-5.2.2-cp37-cp37m-manylinux_2_28_x86_64.whl", hash = "sha256:4bc6cb140a7a0ad1f7bc37e018d0ed690b7b6520ade518285dc3171f7a117905"},
+    {file = "lxml-5.2.2-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:7ff762670cada8e05b32bf1e4dc50b140790909caa8303cfddc4d702b71ea184"},
+    {file = "lxml-5.2.2-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:57f0a0bbc9868e10ebe874e9f129d2917750adf008fe7b9c1598c0fbbfdde6a6"},
+    {file = "lxml-5.2.2-cp37-cp37m-musllinux_1_2_aarch64.whl", hash = "sha256:a6d2092797b388342c1bc932077ad232f914351932353e2e8706851c870bca1f"},
+    {file = "lxml-5.2.2-cp37-cp37m-musllinux_1_2_x86_64.whl", hash = "sha256:60499fe961b21264e17a471ec296dcbf4365fbea611bf9e303ab69db7159ce61"},
+    {file = "lxml-5.2.2-cp37-cp37m-win32.whl", hash = "sha256:d9b342c76003c6b9336a80efcc766748a333573abf9350f4094ee46b006ec18f"},
+    {file = "lxml-5.2.2-cp37-cp37m-win_amd64.whl", hash = "sha256:b16db2770517b8799c79aa80f4053cd6f8b716f21f8aca962725a9565ce3ee40"},
+    {file = "lxml-5.2.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:7ed07b3062b055d7a7f9d6557a251cc655eed0b3152b76de619516621c56f5d3"},
+    {file = "lxml-5.2.2-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f60fdd125d85bf9c279ffb8e94c78c51b3b6a37711464e1f5f31078b45002421"},
+    {file = "lxml-5.2.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8a7e24cb69ee5f32e003f50e016d5fde438010c1022c96738b04fc2423e61706"},
+    {file = "lxml-5.2.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:23cfafd56887eaed93d07bc4547abd5e09d837a002b791e9767765492a75883f"},
+    {file = "lxml-5.2.2-cp38-cp38-manylinux_2_28_aarch64.whl", hash = "sha256:19b4e485cd07b7d83e3fe3b72132e7df70bfac22b14fe4bf7a23822c3a35bff5"},
+    {file = "lxml-5.2.2-cp38-cp38-manylinux_2_28_x86_64.whl", hash = "sha256:7ce7ad8abebe737ad6143d9d3bf94b88b93365ea30a5b81f6877ec9c0dee0a48"},
+    {file = "lxml-5.2.2-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:e49b052b768bb74f58c7dda4e0bdf7b79d43a9204ca584ffe1fb48a6f3c84c66"},
+    {file = "lxml-5.2.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:d14a0d029a4e176795cef99c056d58067c06195e0c7e2dbb293bf95c08f772a3"},
+    {file = "lxml-5.2.2-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:be49ad33819d7dcc28a309b86d4ed98e1a65f3075c6acd3cd4fe32103235222b"},
+    {file = "lxml-5.2.2-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:a6d17e0370d2516d5bb9062c7b4cb731cff921fc875644c3d751ad857ba9c5b1"},
+    {file = "lxml-5.2.2-cp38-cp38-win32.whl", hash = "sha256:5b8c041b6265e08eac8a724b74b655404070b636a8dd6d7a13c3adc07882ef30"},
+    {file = "lxml-5.2.2-cp38-cp38-win_amd64.whl", hash = "sha256:f61efaf4bed1cc0860e567d2ecb2363974d414f7f1f124b1df368bbf183453a6"},
+    {file = "lxml-5.2.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:fb91819461b1b56d06fa4bcf86617fac795f6a99d12239fb0c68dbeba41a0a30"},
+    {file = "lxml-5.2.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:d4ed0c7cbecde7194cd3228c044e86bf73e30a23505af852857c09c24e77ec5d"},
+    {file = "lxml-5.2.2-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:54401c77a63cc7d6dc4b4e173bb484f28a5607f3df71484709fe037c92d4f0ed"},
+    {file = "lxml-5.2.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:625e3ef310e7fa3a761d48ca7ea1f9d8718a32b1542e727d584d82f4453d5eeb"},
+    {file = "lxml-5.2.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:519895c99c815a1a24a926d5b60627ce5ea48e9f639a5cd328bda0515ea0f10c"},
+    {file = "lxml-5.2.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c7079d5eb1c1315a858bbf180000757db8ad904a89476653232db835c3114001"},
+    {file = "lxml-5.2.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:343ab62e9ca78094f2306aefed67dcfad61c4683f87eee48ff2fd74902447726"},
+    {file = "lxml-5.2.2-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:cd9e78285da6c9ba2d5c769628f43ef66d96ac3085e59b10ad4f3707980710d3"},
+    {file = "lxml-5.2.2-cp39-cp39-manylinux_2_28_ppc64le.whl", hash = "sha256:546cf886f6242dff9ec206331209db9c8e1643ae642dea5fdbecae2453cb50fd"},
+    {file = "lxml-5.2.2-cp39-cp39-manylinux_2_28_s390x.whl", hash = "sha256:02f6a8eb6512fdc2fd4ca10a49c341c4e109aa6e9448cc4859af5b949622715a"},
+    {file = "lxml-5.2.2-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:339ee4a4704bc724757cd5dd9dc8cf4d00980f5d3e6e06d5847c1b594ace68ab"},
+    {file = "lxml-5.2.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:0a028b61a2e357ace98b1615fc03f76eb517cc028993964fe08ad514b1e8892d"},
+    {file = "lxml-5.2.2-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:f90e552ecbad426eab352e7b2933091f2be77115bb16f09f78404861c8322981"},
+    {file = "lxml-5.2.2-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:d83e2d94b69bf31ead2fa45f0acdef0757fa0458a129734f59f67f3d2eb7ef32"},
+    {file = "lxml-5.2.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:a02d3c48f9bb1e10c7788d92c0c7db6f2002d024ab6e74d6f45ae33e3d0288a3"},
+    {file = "lxml-5.2.2-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:6d68ce8e7b2075390e8ac1e1d3a99e8b6372c694bbe612632606d1d546794207"},
+    {file = "lxml-5.2.2-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:453d037e09a5176d92ec0fd282e934ed26d806331a8b70ab431a81e2fbabf56d"},
+    {file = "lxml-5.2.2-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:3b019d4ee84b683342af793b56bb35034bd749e4cbdd3d33f7d1107790f8c472"},
+    {file = "lxml-5.2.2-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:cb3942960f0beb9f46e2a71a3aca220d1ca32feb5a398656be934320804c0df9"},
+    {file = "lxml-5.2.2-cp39-cp39-win32.whl", hash = "sha256:ac6540c9fff6e3813d29d0403ee7a81897f1d8ecc09a8ff84d2eea70ede1cdbf"},
+    {file = "lxml-5.2.2-cp39-cp39-win_amd64.whl", hash = "sha256:610b5c77428a50269f38a534057444c249976433f40f53e3b47e68349cca1425"},
+    {file = "lxml-5.2.2-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:b537bd04d7ccd7c6350cdaaaad911f6312cbd61e6e6045542f781c7f8b2e99d2"},
+    {file = "lxml-5.2.2-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4820c02195d6dfb7b8508ff276752f6b2ff8b64ae5d13ebe02e7667e035000b9"},
+    {file = "lxml-5.2.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f2a09f6184f17a80897172863a655467da2b11151ec98ba8d7af89f17bf63dae"},
+    {file = "lxml-5.2.2-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:76acba4c66c47d27c8365e7c10b3d8016a7da83d3191d053a58382311a8bf4e1"},
+    {file = "lxml-5.2.2-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:b128092c927eaf485928cec0c28f6b8bead277e28acf56800e972aa2c2abd7a2"},
+    {file = "lxml-5.2.2-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:ae791f6bd43305aade8c0e22f816b34f3b72b6c820477aab4d18473a37e8090b"},
+    {file = "lxml-5.2.2-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:a2f6a1bc2460e643785a2cde17293bd7a8f990884b822f7bca47bee0a82fc66b"},
+    {file = "lxml-5.2.2-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8e8d351ff44c1638cb6e980623d517abd9f580d2e53bfcd18d8941c052a5a009"},
+    {file = "lxml-5.2.2-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bec4bd9133420c5c52d562469c754f27c5c9e36ee06abc169612c959bd7dbb07"},
+    {file = "lxml-5.2.2-pp37-pypy37_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:55ce6b6d803890bd3cc89975fca9de1dff39729b43b73cb15ddd933b8bc20484"},
+    {file = "lxml-5.2.2-pp37-pypy37_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:8ab6a358d1286498d80fe67bd3d69fcbc7d1359b45b41e74c4a26964ca99c3f8"},
+    {file = "lxml-5.2.2-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:06668e39e1f3c065349c51ac27ae430719d7806c026fec462e5693b08b95696b"},
+    {file = "lxml-5.2.2-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:9cd5323344d8ebb9fb5e96da5de5ad4ebab993bbf51674259dbe9d7a18049525"},
+    {file = "lxml-5.2.2-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:89feb82ca055af0fe797a2323ec9043b26bc371365847dbe83c7fd2e2f181c34"},
+    {file = "lxml-5.2.2-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e481bba1e11ba585fb06db666bfc23dbe181dbafc7b25776156120bf12e0d5a6"},
+    {file = "lxml-5.2.2-pp38-pypy38_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:9d6c6ea6a11ca0ff9cd0390b885984ed31157c168565702959c25e2191674a14"},
+    {file = "lxml-5.2.2-pp38-pypy38_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:3d98de734abee23e61f6b8c2e08a88453ada7d6486dc7cdc82922a03968928db"},
+    {file = "lxml-5.2.2-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:69ab77a1373f1e7563e0fb5a29a8440367dec051da6c7405333699d07444f511"},
+    {file = "lxml-5.2.2-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:34e17913c431f5ae01d8658dbf792fdc457073dcdfbb31dc0cc6ab256e664a8d"},
+    {file = "lxml-5.2.2-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:05f8757b03208c3f50097761be2dea0aba02e94f0dc7023ed73a7bb14ff11eb0"},
+    {file = "lxml-5.2.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6a520b4f9974b0a0a6ed73c2154de57cdfd0c8800f4f15ab2b73238ffed0b36e"},
+    {file = "lxml-5.2.2-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:5e097646944b66207023bc3c634827de858aebc226d5d4d6d16f0b77566ea182"},
+    {file = "lxml-5.2.2-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:b5e4ef22ff25bfd4ede5f8fb30f7b24446345f3e79d9b7455aef2836437bc38a"},
+    {file = "lxml-5.2.2-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:ff69a9a0b4b17d78170c73abe2ab12084bdf1691550c5629ad1fe7849433f324"},
+    {file = "lxml-5.2.2.tar.gz", hash = "sha256:bb2dc4898180bea79863d5487e5f9c7c34297414bad54bcd0f0852aee9cfdb87"},
 ]
 
 [package.extras]
 cssselect = ["cssselect (>=0.7)"]
+html-clean = ["lxml-html-clean"]
 html5 = ["html5lib"]
 htmlsoup = ["BeautifulSoup4"]
-source = ["Cython (==0.29.37)"]
+source = ["Cython (>=3.0.10)"]
 
 [[package]]
 name = "mako"
-version = "1.3.3"
+version = "1.3.5"
 description = "A super-fast templating language that borrows the best ideas from the existing templating languages."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "Mako-1.3.3-py3-none-any.whl", hash = "sha256:5324b88089a8978bf76d1629774fcc2f1c07b82acdf00f4c5dd8ceadfffc4b40"},
-    {file = "Mako-1.3.3.tar.gz", hash = "sha256:e16c01d9ab9c11f7290eef1cfefc093fb5a45ee4a3da09e2fec2e4d1bae54e73"},
+    {file = "Mako-1.3.5-py3-none-any.whl", hash = "sha256:260f1dbc3a519453a9c856dedfe4beb4e50bd5a26d96386cb6c80856556bb91a"},
+    {file = "Mako-1.3.5.tar.gz", hash = "sha256:48dbc20568c1d276a2698b36d968fa76161bf127194907ea6fc594fa81f943bc"},
 ]
 
 [package.dependencies]
@@ -3930,6 +4812,21 @@ babel = ["Babel"]
 lingua = ["lingua"]
 testing = ["pytest"]
 
+[[package]]
+name = "markdown"
+version = "3.6"
+description = "Python implementation of John Gruber's Markdown."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "Markdown-3.6-py3-none-any.whl", hash = "sha256:48f276f4d8cfb8ce6527c8f79e2ee29708508bf4d40aa410fbc3b4ee832c850f"},
+    {file = "Markdown-3.6.tar.gz", hash = "sha256:ed4f41f6daecbeeb96e576ce414c41d2d876daa9a16cb35fa8ed8c2ddfad0224"},
+]
+
+[package.extras]
+docs = ["mdx-gh-links (>=0.2)", "mkdocs (>=1.5)", "mkdocs-gen-files", "mkdocs-literate-nav", "mkdocs-nature (>=0.6)", "mkdocs-section-index", "mkdocstrings[python]"]
+testing = ["coverage", "pyyaml"]
+
 [[package]]
 name = "markdown-it-py"
 version = "3.0.0"
@@ -4025,13 +4922,13 @@ files = [
 
 [[package]]
 name = "marshmallow"
-version = "3.21.2"
+version = "3.21.3"
 description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "marshmallow-3.21.2-py3-none-any.whl", hash = "sha256:70b54a6282f4704d12c0a41599682c5c5450e843b9ec406308653b47c59648a1"},
-    {file = "marshmallow-3.21.2.tar.gz", hash = "sha256:82408deadd8b33d56338d2182d455db632c6313aa2af61916672146bb32edc56"},
+    {file = "marshmallow-3.21.3-py3-none-any.whl", hash = "sha256:86ce7fb914aa865001a4b2092c4c2872d13bc347f3d42673272cabfdbad386f1"},
+    {file = "marshmallow-3.21.3.tar.gz", hash = "sha256:4f57c5e050a54d66361e826f94fba213eb10b67b2fdb02c3e0343ce207ba1662"},
 ]
 
 [package.dependencies]
@@ -4299,21 +5196,6 @@ files = [
     {file = "msgpack-1.0.8.tar.gz", hash = "sha256:95c02b0e27e706e48d0e5426d1710ca78e0f0628d6e89d5b5a5b91a5f12274f3"},
 ]
 
-[[package]]
-name = "msoffcrypto-tool"
-version = "5.4.0"
-description = "Python tool and library for decrypting and encrypting MS Office files using a password or other keys"
-optional = false
-python-versions = "<4.0,>=3.8"
-files = [
-    {file = "msoffcrypto_tool-5.4.0-py3-none-any.whl", hash = "sha256:0e39319f982c22a449505e5ab7da18a8ae76376a0008e180e1528a0875525da7"},
-    {file = "msoffcrypto_tool-5.4.0.tar.gz", hash = "sha256:0f5f45d91d1eaa2ca0b3adefb5aac4932afb50c678dfa8d7da390d187f1dac39"},
-]
-
-[package.dependencies]
-cryptography = ">=35.0"
-olefile = ">=0.46"
-
 [[package]]
 name = "multidict"
 version = "6.0.5"
@@ -4508,20 +5390,20 @@ files = [
 
 [[package]]
 name = "networkx"
-version = "3.2.1"
+version = "3.3"
 description = "Python package for creating and manipulating graphs and networks"
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.10"
 files = [
-    {file = "networkx-3.2.1-py3-none-any.whl", hash = "sha256:f18c69adc97877c42332c170849c96cefa91881c99a7cb3e95b7c659ebdc1ec2"},
-    {file = "networkx-3.2.1.tar.gz", hash = "sha256:9f1bb5cf3409bf324e0a722c20bdb4c20ee39bf1c30ce8ae499c8502b0b5e0c6"},
+    {file = "networkx-3.3-py3-none-any.whl", hash = "sha256:28575580c6ebdaf4505b22c6256a2b9de86b316dc63ba9e93abde3d78dfdbcf2"},
+    {file = "networkx-3.3.tar.gz", hash = "sha256:0c127d8b2f4865f59ae9cb8aafcd60b5c70f3241ebd66f7defad7c4ab90126c9"},
 ]
 
 [package.extras]
-default = ["matplotlib (>=3.5)", "numpy (>=1.22)", "pandas (>=1.4)", "scipy (>=1.9,!=1.11.0,!=1.11.1)"]
-developer = ["changelist (==0.4)", "mypy (>=1.1)", "pre-commit (>=3.2)", "rtoml"]
-doc = ["nb2plots (>=0.7)", "nbconvert (<7.9)", "numpydoc (>=1.6)", "pillow (>=9.4)", "pydata-sphinx-theme (>=0.14)", "sphinx (>=7)", "sphinx-gallery (>=0.14)", "texext (>=0.6.7)"]
-extra = ["lxml (>=4.6)", "pydot (>=1.4.2)", "pygraphviz (>=1.11)", "sympy (>=1.10)"]
+default = ["matplotlib (>=3.6)", "numpy (>=1.23)", "pandas (>=1.4)", "scipy (>=1.9,!=1.11.0,!=1.11.1)"]
+developer = ["changelist (==0.5)", "mypy (>=1.1)", "pre-commit (>=3.2)", "rtoml"]
+doc = ["myst-nb (>=1.0)", "numpydoc (>=1.7)", "pillow (>=9.4)", "pydata-sphinx-theme (>=0.14)", "sphinx (>=7)", "sphinx-gallery (>=0.14)", "texext (>=0.6.7)"]
+extra = ["lxml (>=4.6)", "pydot (>=2.0)", "pygraphviz (>=1.12)", "sympy (>=1.10)"]
 test = ["pytest (>=7.2)", "pytest-cov (>=4.0)"]
 
 [[package]]
@@ -4549,46 +5431,57 @@ plot = ["matplotlib"]
 tgrep = ["pyparsing"]
 twitter = ["twython"]
 
+[[package]]
+name = "nodeenv"
+version = "1.9.1"
+description = "Node.js virtual environment builder"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
+files = [
+    {file = "nodeenv-1.9.1-py2.py3-none-any.whl", hash = "sha256:ba11c9782d29c27c70ffbdda2d7415098754709be8a7056d79a737cd901155c9"},
+    {file = "nodeenv-1.9.1.tar.gz", hash = "sha256:6ec12890a2dab7946721edbfbcd91f3319c6ccc9aec47be7c7e6b7011ee6645f"},
+]
+
 [[package]]
 name = "numexpr"
-version = "2.10.0"
+version = "2.10.1"
 description = "Fast numerical expression evaluator for NumPy"
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "numexpr-2.10.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1af6dc6b3bd2e11a802337b352bf58f30df0b70be16c4f863b70a3af3a8ef95e"},
-    {file = "numexpr-2.10.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:3c66dc0188358cdcc9465b6ee54fd5eef2e83ac64b1d4ba9117c41df59bf6fca"},
-    {file = "numexpr-2.10.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:83f1e7a7f7ee741b8dcd20c56c3f862a3a3ec26fa8b9fcadb7dcd819876d2f35"},
-    {file = "numexpr-2.10.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4f0b045e1831953a47cc9fabae76a6794c69cbb60921751a5cf2d555034c55bf"},
-    {file = "numexpr-2.10.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:1d8eb88b0ae3d3c609d732a17e71096779b2bf47b3a084320ffa93d9f9132786"},
-    {file = "numexpr-2.10.0-cp310-cp310-win32.whl", hash = "sha256:629b66cc1b750671e7fb396506b3f9410612e5bd8bc1dd55b5a0a0041d839f95"},
-    {file = "numexpr-2.10.0-cp310-cp310-win_amd64.whl", hash = "sha256:78e0a8bc4417c3dedcbae3c473505b69080535246edc977c7dccf3ec8454a685"},
-    {file = "numexpr-2.10.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:a602692cd52ce923ce8a0a90fb1d6cf186ebe8706eed83eee0de685e634b9aa9"},
-    {file = "numexpr-2.10.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:745b46a1fb76920a3eebfaf26e50bc94a9c13b5aee34b256ab4b2d792dbaa9ca"},
-    {file = "numexpr-2.10.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:10789450032357afaeda4ac4d06da9542d1535c13151e8d32b49ae1a488d1358"},
-    {file = "numexpr-2.10.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4feafc65ea3044b8bf8f305b757a928e59167a310630c22b97a57dff07a56490"},
-    {file = "numexpr-2.10.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:937d36c6d3cf15601f26f84f0f706649f976491e9e0892d16cd7c876d77fa7dc"},
-    {file = "numexpr-2.10.0-cp311-cp311-win32.whl", hash = "sha256:03d0ba492e484a5a1aeb24b300c4213ed168f2c246177be5733abb4e18cbb043"},
-    {file = "numexpr-2.10.0-cp311-cp311-win_amd64.whl", hash = "sha256:6b5f8242c075477156d26b3a6b8e0cd0a06d4c8eb68d907bde56dd3c9c683e92"},
-    {file = "numexpr-2.10.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:b276e2ba3e87ace9a30fd49078ad5dcdc6a1674d030b1ec132599c55465c0346"},
-    {file = "numexpr-2.10.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:cb5e12787101f1216f2cdabedc3417748f2e1f472442e16bbfabf0bab2336300"},
-    {file = "numexpr-2.10.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:05278bad96b5846d712eba58b44e5cec743bdb3e19ca624916c921d049fdbcf6"},
-    {file = "numexpr-2.10.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a6cdf9e64c5b3dbb61729edb505ea75ee212fa02b85c5b1d851331381ae3b0e1"},
-    {file = "numexpr-2.10.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:e3a973265591b0a875fd1151c4549e468959c7192821aac0bb86937694a08efa"},
-    {file = "numexpr-2.10.0-cp312-cp312-win32.whl", hash = "sha256:416e0e9f0fc4cced67767585e44cb6b301728bdb9edbb7c534a853222ec62cac"},
-    {file = "numexpr-2.10.0-cp312-cp312-win_amd64.whl", hash = "sha256:748e8d4cde22d9a5603165293fb293a4de1a4623513299416c64fdab557118c2"},
-    {file = "numexpr-2.10.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:dc3506c30c03b082da2cadef43747d474e5170c1f58a6dcdf882b3dc88b1e849"},
-    {file = "numexpr-2.10.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:efa63ecdc9fcaf582045639ddcf56e9bdc1f4d9a01729be528f62df4db86c9d6"},
-    {file = "numexpr-2.10.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:96a64d0dd8f8e694da3f8582d73d7da8446ff375f6dd239b546010efea371ac3"},
-    {file = "numexpr-2.10.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d47bb567e330ebe86781864219a36cbccb3a47aec893bd509f0139c6b23e8104"},
-    {file = "numexpr-2.10.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:c7517b774d309b1f0896c89bdd1ddd33c4418a92ecfbe5e1df3ac698698f6fcf"},
-    {file = "numexpr-2.10.0-cp39-cp39-win32.whl", hash = "sha256:04e8620e7e676504201d4082e7b3ee2d9b561d1cb9470b47a6104e10c1e2870e"},
-    {file = "numexpr-2.10.0-cp39-cp39-win_amd64.whl", hash = "sha256:56d0d96b130f7cd4d78d0017030d6a0e9d9fc2a717ac51d4cf4860b39637e86a"},
-    {file = "numexpr-2.10.0.tar.gz", hash = "sha256:c89e930752639df040539160326d8f99a84159bbea41943ab8e960591edaaef0"},
-]
-
-[package.dependencies]
-numpy = ">=1.19.3"
+    {file = "numexpr-2.10.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bbd35f17f6efc00ebd4a480192af1ee30996094a0d5343b131b0e90e61e8b554"},
+    {file = "numexpr-2.10.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:fecdf4bf3c1250e56583db0a4a80382a259ba4c2e1efa13e04ed43f0938071f5"},
+    {file = "numexpr-2.10.1-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b2efa499f460124538a5b4f1bf2e77b28eb443ee244cc5573ed0f6a069ebc635"},
+    {file = "numexpr-2.10.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ac23a72eff10f928f23b147bdeb0f1b774e862abe332fc9bf4837e9f1bc0bbf9"},
+    {file = "numexpr-2.10.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:b28eaf45f1cc1048aad9e90e3a8ada1aef58c5f8155a85267dc781b37998c046"},
+    {file = "numexpr-2.10.1-cp310-cp310-win32.whl", hash = "sha256:4f0985bd1c493b23b5aad7d81fa174798f3812efb78d14844194834c9fee38b8"},
+    {file = "numexpr-2.10.1-cp310-cp310-win_amd64.whl", hash = "sha256:44f6d12a8c44be90199bbb10d3abf467f88951f48a3d1fbbd3c219d121f39c9d"},
+    {file = "numexpr-2.10.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:a3c0b0bf165b2d886eb981afa4e77873ca076f5d51c491c4d7b8fc10f17c876f"},
+    {file = "numexpr-2.10.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:56648a04679063175681195670ad53e5c8ca19668166ed13875199b5600089c7"},
+    {file = "numexpr-2.10.1-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ce04ae6efe2a9d0be1a0e114115c3ae70c68b8b8fbc615c5c55c15704b01e6a4"},
+    {file = "numexpr-2.10.1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:45f598182b4f5c153222e47d5163c3bee8d5ebcaee7e56dd2a5898d4d97e4473"},
+    {file = "numexpr-2.10.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:6a50370bea77ba94c3734a44781c716751354c6bfda2d369af3aed3d67d42871"},
+    {file = "numexpr-2.10.1-cp311-cp311-win32.whl", hash = "sha256:fa4009d84a8e6e21790e718a80a22d57fe7f215283576ef2adc4183f7247f3c7"},
+    {file = "numexpr-2.10.1-cp311-cp311-win_amd64.whl", hash = "sha256:fcbf013bb8494e8ef1d11fa3457827c1571c6a3153982d709e5d17594999d4dd"},
+    {file = "numexpr-2.10.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:82fc95c301b15ff4823f98989ee363a2d5555d16a7cfd3710e98ddee726eaaaa"},
+    {file = "numexpr-2.10.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:cbf79fef834f88607f977ab9867061dcd9b40ccb08bb28547c6dc6c73e560895"},
+    {file = "numexpr-2.10.1-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:552c8d4b2e3b87cdb2abb40a781b9a61a9090a9f66ac7357fc5a0b93aff76be3"},
+    {file = "numexpr-2.10.1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:22cc65e9121aeb3187a2b50827715b2b087ea70e8ab21416ea52662322087b43"},
+    {file = "numexpr-2.10.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:00204e5853713b5eba5f3d0bc586a5d8d07f76011b597c8b4087592cc2ec2928"},
+    {file = "numexpr-2.10.1-cp312-cp312-win32.whl", hash = "sha256:82bf04a1495ac475de4ab49fbe0a3a2710ed3fd1a00bc03847316b5d7602402d"},
+    {file = "numexpr-2.10.1-cp312-cp312-win_amd64.whl", hash = "sha256:300e577b3c006dd7a8270f1bb2e8a00ee15bf235b1650fe2a6febec2954bc2c3"},
+    {file = "numexpr-2.10.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:fb704620657a1c99d64933e8a982148d8bfb2b738a1943e107a2bfdee887ce56"},
+    {file = "numexpr-2.10.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:368a1972c3186355160f6ee330a7eea146d8443da75a38a30083289ae251ef5a"},
+    {file = "numexpr-2.10.1-cp39-cp39-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ca8ae46481d0b0689ca0d00a8670bc464ce375e349599fe674a6d4957e7b7eb6"},
+    {file = "numexpr-2.10.1-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5a4db4456e0779d5e024220b7b6a7477ac900679bfa74836b06fa526aaed4e3c"},
+    {file = "numexpr-2.10.1-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:926dd426c68f1d927412a2ad843831c1eb9a95871e7bb0bd8b20d547c12238d2"},
+    {file = "numexpr-2.10.1-cp39-cp39-win32.whl", hash = "sha256:37598cca41f8f50dc889b0b72be1616a288758c16ab7d48c9ac8719e1a39d835"},
+    {file = "numexpr-2.10.1-cp39-cp39-win_amd64.whl", hash = "sha256:78b14c19c403df7498954468385768c86b0d2c52ad03dffb74e45d44ae5a9c77"},
+    {file = "numexpr-2.10.1.tar.gz", hash = "sha256:9bba99d354a65f1a008ab8b87f07d84404c668e66bab624df5b6b5373403cf81"},
+]
+
+[package.dependencies]
+numpy = ">=1.23.0"
 
 [[package]]
 name = "numpy"
@@ -4757,13 +5650,13 @@ files = [
 
 [[package]]
 name = "nvidia-nvjitlink-cu12"
-version = "12.4.127"
+version = "12.5.40"
 description = "Nvidia JIT LTO Library"
 optional = true
 python-versions = ">=3"
 files = [
-    {file = "nvidia_nvjitlink_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl", hash = "sha256:06b3b9b25bf3f8af351d664978ca26a16d2c5127dbd53c0497e28d1fb9611d57"},
-    {file = "nvidia_nvjitlink_cu12-12.4.127-py3-none-win_amd64.whl", hash = "sha256:fd9020c501d27d135f983c6d3e244b197a7ccad769e34df53a42e276b0e25fa1"},
+    {file = "nvidia_nvjitlink_cu12-12.5.40-py3-none-manylinux2014_x86_64.whl", hash = "sha256:d9714f27c1d0f0895cd8915c07a87a1d0029a0aa36acaf9156952ec2a8a12189"},
+    {file = "nvidia_nvjitlink_cu12-12.5.40-py3-none-win_amd64.whl", hash = "sha256:c3401dc8543b52d3a8158007a0c1ab4e9c768fcbd24153a48c86972102197ddd"},
 ]
 
 [[package]]
@@ -4793,74 +5686,38 @@ rsa = ["cryptography (>=3.0.0)"]
 signals = ["blinker (>=1.4.0)"]
 signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"]
 
-[[package]]
-name = "olefile"
-version = "0.47"
-description = "Python package to parse, read and write Microsoft OLE2 files (Structured Storage or Compound Document, Microsoft Office)"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
-files = [
-    {file = "olefile-0.47-py2.py3-none-any.whl", hash = "sha256:543c7da2a7adadf21214938bb79c83ea12b473a4b6ee4ad4bf854e7715e13d1f"},
-    {file = "olefile-0.47.zip", hash = "sha256:599383381a0bf3dfbd932ca0ca6515acd174ed48870cbf7fee123d698c192c1c"},
-]
-
-[package.extras]
-tests = ["pytest", "pytest-cov"]
-
-[[package]]
-name = "oletools"
-version = "0.60.1"
-description = "Python tools to analyze security characteristics of MS Office and OLE files (also called Structured Storage, Compound File Binary Format or Compound Document File Format), for Malware Analysis and Incident Response #DFIR"
-optional = false
-python-versions = "*"
-files = [
-    {file = "oletools-0.60.1-py2.py3-none-any.whl", hash = "sha256:edef92374e688989a39269eb9a11142fb20a023629c23538c849c14d1d1144ea"},
-    {file = "oletools-0.60.1.zip", hash = "sha256:67a796da4c4b8e2feb9a6b2495bef8798a3323a75512de4e5669d9dc9d1fae31"},
-]
-
-[package.dependencies]
-colorclass = "*"
-easygui = "*"
-msoffcrypto-tool = {version = "*", markers = "platform_python_implementation != \"PyPy\" or python_version >= \"3\" and (platform_system != \"Windows\" and platform_system != \"Darwin\")"}
-olefile = ">=0.46"
-pcodedmp = ">=1.2.5"
-pyparsing = ">=2.1.0,<3"
-
-[package.extras]
-full = ["XLMMacroDeobfuscator"]
-
 [[package]]
 name = "onnxruntime"
-version = "1.17.3"
+version = "1.18.0"
 description = "ONNX Runtime is a runtime accelerator for Machine Learning models"
 optional = false
 python-versions = "*"
 files = [
-    {file = "onnxruntime-1.17.3-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:d86dde9c0bb435d709e51bd25991c9fe5b9a5b168df45ce119769edc4d198b15"},
-    {file = "onnxruntime-1.17.3-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9d87b68bf931ac527b2d3c094ead66bb4381bac4298b65f46c54fe4d1e255865"},
-    {file = "onnxruntime-1.17.3-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:26e950cf0333cf114a155f9142e71da344d2b08dfe202763a403ae81cc02ebd1"},
-    {file = "onnxruntime-1.17.3-cp310-cp310-win32.whl", hash = "sha256:0962a4d0f5acebf62e1f0bf69b6e0adf16649115d8de854c1460e79972324d68"},
-    {file = "onnxruntime-1.17.3-cp310-cp310-win_amd64.whl", hash = "sha256:468ccb8a0faa25c681a41787b1594bf4448b0252d3efc8b62fd8b2411754340f"},
-    {file = "onnxruntime-1.17.3-cp311-cp311-macosx_11_0_universal2.whl", hash = "sha256:e8cd90c1c17d13d47b89ab076471e07fb85467c01dcd87a8b8b5cdfbcb40aa51"},
-    {file = "onnxruntime-1.17.3-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a058b39801baefe454eeb8acf3ada298c55a06a4896fafc224c02d79e9037f60"},
-    {file = "onnxruntime-1.17.3-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:2f823d5eb4807007f3da7b27ca972263df6a1836e6f327384eb266274c53d05d"},
-    {file = "onnxruntime-1.17.3-cp311-cp311-win32.whl", hash = "sha256:b66b23f9109e78ff2791628627a26f65cd335dcc5fbd67ff60162733a2f7aded"},
-    {file = "onnxruntime-1.17.3-cp311-cp311-win_amd64.whl", hash = "sha256:570760ca53a74cdd751ee49f13de70d1384dcf73d9888b8deac0917023ccda6d"},
-    {file = "onnxruntime-1.17.3-cp312-cp312-macosx_11_0_universal2.whl", hash = "sha256:77c318178d9c16e9beadd9a4070d8aaa9f57382c3f509b01709f0f010e583b99"},
-    {file = "onnxruntime-1.17.3-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:23da8469049b9759082e22c41a444f44a520a9c874b084711b6343672879f50b"},
-    {file = "onnxruntime-1.17.3-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:2949730215af3f9289008b2e31e9bbef952012a77035b911c4977edea06f3f9e"},
-    {file = "onnxruntime-1.17.3-cp312-cp312-win32.whl", hash = "sha256:6c7555a49008f403fb3b19204671efb94187c5085976ae526cb625f6ede317bc"},
-    {file = "onnxruntime-1.17.3-cp312-cp312-win_amd64.whl", hash = "sha256:58672cf20293a1b8a277a5c6c55383359fcdf6119b2f14df6ce3b140f5001c39"},
-    {file = "onnxruntime-1.17.3-cp38-cp38-macosx_11_0_universal2.whl", hash = "sha256:4395ba86e3c1e93c794a00619ef1aec597ab78f5a5039f3c6d2e9d0695c0a734"},
-    {file = "onnxruntime-1.17.3-cp38-cp38-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:bdf354c04344ec38564fc22394e1fe08aa6d70d790df00159205a0055c4a4d3f"},
-    {file = "onnxruntime-1.17.3-cp38-cp38-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a94b600b7af50e922d44b95a57981e3e35103c6e3693241a03d3ca204740bbda"},
-    {file = "onnxruntime-1.17.3-cp38-cp38-win32.whl", hash = "sha256:5a335c76f9c002a8586c7f38bc20fe4b3725ced21f8ead835c3e4e507e42b2ab"},
-    {file = "onnxruntime-1.17.3-cp38-cp38-win_amd64.whl", hash = "sha256:8f56a86fbd0ddc8f22696ddeda0677b041381f4168a2ca06f712ef6ec6050d6d"},
-    {file = "onnxruntime-1.17.3-cp39-cp39-macosx_11_0_universal2.whl", hash = "sha256:e0ae39f5452278cd349520c296e7de3e90d62dc5b0157c6868e2748d7f28b871"},
-    {file = "onnxruntime-1.17.3-cp39-cp39-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3ff2dc012bd930578aff5232afd2905bf16620815f36783a941aafabf94b3702"},
-    {file = "onnxruntime-1.17.3-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:cf6c37483782e4785019b56e26224a25e9b9a35b849d0169ce69189867a22bb1"},
-    {file = "onnxruntime-1.17.3-cp39-cp39-win32.whl", hash = "sha256:351bf5a1140dcc43bfb8d3d1a230928ee61fcd54b0ea664c8e9a889a8e3aa515"},
-    {file = "onnxruntime-1.17.3-cp39-cp39-win_amd64.whl", hash = "sha256:57a3de15778da8d6cc43fbf6cf038e1e746146300b5f0b1fbf01f6f795dc6440"},
+    {file = "onnxruntime-1.18.0-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:5a3b7993a5ecf4a90f35542a4757e29b2d653da3efe06cdd3164b91167bbe10d"},
+    {file = "onnxruntime-1.18.0-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:15b944623b2cdfe7f7945690bfb71c10a4531b51997c8320b84e7b0bb59af902"},
+    {file = "onnxruntime-1.18.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:2e61ce5005118064b1a0ed73ebe936bc773a102f067db34108ea6c64dd62a179"},
+    {file = "onnxruntime-1.18.0-cp310-cp310-win32.whl", hash = "sha256:a4fc8a2a526eb442317d280610936a9f73deece06c7d5a91e51570860802b93f"},
+    {file = "onnxruntime-1.18.0-cp310-cp310-win_amd64.whl", hash = "sha256:71ed219b768cab004e5cd83e702590734f968679bf93aa488c1a7ffbe6e220c3"},
+    {file = "onnxruntime-1.18.0-cp311-cp311-macosx_11_0_universal2.whl", hash = "sha256:3d24bd623872a72a7fe2f51c103e20fcca2acfa35d48f2accd6be1ec8633d960"},
+    {file = "onnxruntime-1.18.0-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f15e41ca9b307a12550bfd2ec93f88905d9fba12bab7e578f05138ad0ae10d7b"},
+    {file = "onnxruntime-1.18.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1f45ca2887f62a7b847d526965686b2923efa72538c89b7703c7b3fe970afd59"},
+    {file = "onnxruntime-1.18.0-cp311-cp311-win32.whl", hash = "sha256:9e24d9ecc8781323d9e2eeda019b4b24babc4d624e7d53f61b1fe1a929b0511a"},
+    {file = "onnxruntime-1.18.0-cp311-cp311-win_amd64.whl", hash = "sha256:f8608398976ed18aef450d83777ff6f77d0b64eced1ed07a985e1a7db8ea3771"},
+    {file = "onnxruntime-1.18.0-cp312-cp312-macosx_11_0_universal2.whl", hash = "sha256:f1d79941f15fc40b1ee67738b2ca26b23e0181bf0070b5fb2984f0988734698f"},
+    {file = "onnxruntime-1.18.0-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:99e8caf3a8565c853a22d323a3eebc2a81e3de7591981f085a4f74f7a60aab2d"},
+    {file = "onnxruntime-1.18.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:498d2b8380635f5e6ebc50ec1b45f181588927280f32390fb910301d234f97b8"},
+    {file = "onnxruntime-1.18.0-cp312-cp312-win32.whl", hash = "sha256:ba7cc0ce2798a386c082aaa6289ff7e9bedc3dee622eef10e74830cff200a72e"},
+    {file = "onnxruntime-1.18.0-cp312-cp312-win_amd64.whl", hash = "sha256:1fa175bd43f610465d5787ae06050c81f7ce09da2bf3e914eb282cb8eab363ef"},
+    {file = "onnxruntime-1.18.0-cp38-cp38-macosx_11_0_universal2.whl", hash = "sha256:0284c579c20ec8b1b472dd190290a040cc68b6caec790edb960f065d15cf164a"},
+    {file = "onnxruntime-1.18.0-cp38-cp38-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d47353d036d8c380558a5643ea5f7964d9d259d31c86865bad9162c3e916d1f6"},
+    {file = "onnxruntime-1.18.0-cp38-cp38-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:885509d2b9ba4b01f08f7fa28d31ee54b6477953451c7ccf124a84625f07c803"},
+    {file = "onnxruntime-1.18.0-cp38-cp38-win32.whl", hash = "sha256:8614733de3695656411d71fc2f39333170df5da6c7efd6072a59962c0bc7055c"},
+    {file = "onnxruntime-1.18.0-cp38-cp38-win_amd64.whl", hash = "sha256:47af3f803752fce23ea790fd8d130a47b2b940629f03193f780818622e856e7a"},
+    {file = "onnxruntime-1.18.0-cp39-cp39-macosx_11_0_universal2.whl", hash = "sha256:9153eb2b4d5bbab764d0aea17adadffcfc18d89b957ad191b1c3650b9930c59f"},
+    {file = "onnxruntime-1.18.0-cp39-cp39-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:2c7fd86eca727c989bb8d9c5104f3c45f7ee45f445cc75579ebe55d6b99dfd7c"},
+    {file = "onnxruntime-1.18.0-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ac67a4de9c1326c4d87bcbfb652c923039b8a2446bb28516219236bec3b494f5"},
+    {file = "onnxruntime-1.18.0-cp39-cp39-win32.whl", hash = "sha256:6ffb445816d06497df7a6dd424b20e0b2c39639e01e7fe210e247b82d15a23b9"},
+    {file = "onnxruntime-1.18.0-cp39-cp39-win_amd64.whl", hash = "sha256:46de6031cb6745f33f7eca9e51ab73e8c66037fb7a3b6b4560887c5b55ab5d5d"},
 ]
 
 [package.dependencies]
@@ -4873,13 +5730,13 @@ sympy = "*"
 
 [[package]]
 name = "openai"
-version = "1.26.0"
+version = "1.35.3"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.7.1"
 files = [
-    {file = "openai-1.26.0-py3-none-any.whl", hash = "sha256:884ced523fb0225780f8b0e0ed6f7e014049c32d049a41ad0ac962869f1055d1"},
-    {file = "openai-1.26.0.tar.gz", hash = "sha256:642e857b60855702ee6ff665e8fa80946164f77b92e58fd24e01b545685b8405"},
+    {file = "openai-1.35.3-py3-none-any.whl", hash = "sha256:7b26544cef80f125431c073ffab3811d2421fbb9e30d3bd5c2436aba00b042d5"},
+    {file = "openai-1.35.3.tar.gz", hash = "sha256:d6177087f150b381d49499be782d764213fdf638d391b29ca692b84dd675a389"},
 ]
 
 [package.dependencies]
@@ -4896,42 +5753,42 @@ datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 
 [[package]]
 name = "opentelemetry-api"
-version = "1.24.0"
+version = "1.25.0"
 description = "OpenTelemetry Python API"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_api-1.24.0-py3-none-any.whl", hash = "sha256:0f2c363d98d10d1ce93330015ca7fd3a65f60be64e05e30f557c61de52c80ca2"},
-    {file = "opentelemetry_api-1.24.0.tar.gz", hash = "sha256:42719f10ce7b5a9a73b10a4baf620574fb8ad495a9cbe5c18d76b75d8689c67e"},
+    {file = "opentelemetry_api-1.25.0-py3-none-any.whl", hash = "sha256:757fa1aa020a0f8fa139f8959e53dec2051cc26b832e76fa839a6d76ecefd737"},
+    {file = "opentelemetry_api-1.25.0.tar.gz", hash = "sha256:77c4985f62f2614e42ce77ee4c9da5fa5f0bc1e1821085e9a47533a9323ae869"},
 ]
 
 [package.dependencies]
 deprecated = ">=1.2.6"
-importlib-metadata = ">=6.0,<=7.0"
+importlib-metadata = ">=6.0,<=7.1"
 
 [[package]]
 name = "opentelemetry-exporter-otlp-proto-common"
-version = "1.24.0"
+version = "1.25.0"
 description = "OpenTelemetry Protobuf encoding"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_exporter_otlp_proto_common-1.24.0-py3-none-any.whl", hash = "sha256:e51f2c9735054d598ad2df5d3eca830fecfb5b0bda0a2fa742c9c7718e12f641"},
-    {file = "opentelemetry_exporter_otlp_proto_common-1.24.0.tar.gz", hash = "sha256:5d31fa1ff976cacc38be1ec4e3279a3f88435c75b38b1f7a099a1faffc302461"},
+    {file = "opentelemetry_exporter_otlp_proto_common-1.25.0-py3-none-any.whl", hash = "sha256:15637b7d580c2675f70246563363775b4e6de947871e01d0f4e3881d1848d693"},
+    {file = "opentelemetry_exporter_otlp_proto_common-1.25.0.tar.gz", hash = "sha256:c93f4e30da4eee02bacd1e004eb82ce4da143a2f8e15b987a9f603e0a85407d3"},
 ]
 
 [package.dependencies]
-opentelemetry-proto = "1.24.0"
+opentelemetry-proto = "1.25.0"
 
 [[package]]
 name = "opentelemetry-exporter-otlp-proto-grpc"
-version = "1.24.0"
+version = "1.25.0"
 description = "OpenTelemetry Collector Protobuf over gRPC Exporter"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_exporter_otlp_proto_grpc-1.24.0-py3-none-any.whl", hash = "sha256:f40d62aa30a0a43cc1657428e59fcf82ad5f7ea8fff75de0f9d9cb6f739e0a3b"},
-    {file = "opentelemetry_exporter_otlp_proto_grpc-1.24.0.tar.gz", hash = "sha256:217c6e30634f2c9797999ea9da29f7300479a94a610139b9df17433f915e7baa"},
+    {file = "opentelemetry_exporter_otlp_proto_grpc-1.25.0-py3-none-any.whl", hash = "sha256:3131028f0c0a155a64c430ca600fd658e8e37043cb13209f0109db5c1a3e4eb4"},
+    {file = "opentelemetry_exporter_otlp_proto_grpc-1.25.0.tar.gz", hash = "sha256:c0b1661415acec5af87625587efa1ccab68b873745ca0ee96b69bb1042087eac"},
 ]
 
 [package.dependencies]
@@ -4939,22 +5796,19 @@ deprecated = ">=1.2.6"
 googleapis-common-protos = ">=1.52,<2.0"
 grpcio = ">=1.0.0,<2.0.0"
 opentelemetry-api = ">=1.15,<2.0"
-opentelemetry-exporter-otlp-proto-common = "1.24.0"
-opentelemetry-proto = "1.24.0"
-opentelemetry-sdk = ">=1.24.0,<1.25.0"
-
-[package.extras]
-test = ["pytest-grpc"]
+opentelemetry-exporter-otlp-proto-common = "1.25.0"
+opentelemetry-proto = "1.25.0"
+opentelemetry-sdk = ">=1.25.0,<1.26.0"
 
 [[package]]
 name = "opentelemetry-instrumentation"
-version = "0.45b0"
+version = "0.46b0"
 description = "Instrumentation Tools & Auto Instrumentation for OpenTelemetry Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_instrumentation-0.45b0-py3-none-any.whl", hash = "sha256:06c02e2c952c1b076e8eaedf1b82f715e2937ba7eeacab55913dd434fbcec258"},
-    {file = "opentelemetry_instrumentation-0.45b0.tar.gz", hash = "sha256:6c47120a7970bbeb458e6a73686ee9ba84b106329a79e4a4a66761f933709c7e"},
+    {file = "opentelemetry_instrumentation-0.46b0-py3-none-any.whl", hash = "sha256:89cd721b9c18c014ca848ccd11181e6b3fd3f6c7669e35d59c48dc527408c18b"},
+    {file = "opentelemetry_instrumentation-0.46b0.tar.gz", hash = "sha256:974e0888fb2a1e01c38fbacc9483d024bb1132aad92d6d24e2e5543887a7adda"},
 ]
 
 [package.dependencies]
@@ -4964,55 +5818,55 @@ wrapt = ">=1.0.0,<2.0.0"
 
 [[package]]
 name = "opentelemetry-instrumentation-asgi"
-version = "0.45b0"
+version = "0.46b0"
 description = "ASGI instrumentation for OpenTelemetry"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_instrumentation_asgi-0.45b0-py3-none-any.whl", hash = "sha256:8be1157ed62f0db24e45fdf7933c530c4338bd025c5d4af7830e903c0756021b"},
-    {file = "opentelemetry_instrumentation_asgi-0.45b0.tar.gz", hash = "sha256:97f55620f163fd3d20323e9fd8dc3aacc826c03397213ff36b877e0f4b6b08a6"},
+    {file = "opentelemetry_instrumentation_asgi-0.46b0-py3-none-any.whl", hash = "sha256:f13c55c852689573057837a9500aeeffc010c4ba59933c322e8f866573374759"},
+    {file = "opentelemetry_instrumentation_asgi-0.46b0.tar.gz", hash = "sha256:02559f30cf4b7e2a737ab17eb52aa0779bcf4cc06573064f3e2cb4dcc7d3040a"},
 ]
 
 [package.dependencies]
 asgiref = ">=3.0,<4.0"
 opentelemetry-api = ">=1.12,<2.0"
-opentelemetry-instrumentation = "0.45b0"
-opentelemetry-semantic-conventions = "0.45b0"
-opentelemetry-util-http = "0.45b0"
+opentelemetry-instrumentation = "0.46b0"
+opentelemetry-semantic-conventions = "0.46b0"
+opentelemetry-util-http = "0.46b0"
 
 [package.extras]
 instruments = ["asgiref (>=3.0,<4.0)"]
 
 [[package]]
 name = "opentelemetry-instrumentation-fastapi"
-version = "0.45b0"
+version = "0.46b0"
 description = "OpenTelemetry FastAPI Instrumentation"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_instrumentation_fastapi-0.45b0-py3-none-any.whl", hash = "sha256:77d9c123a363129148f5f66d44094f3d67aaaa2b201396d94782b4a7f9ce4314"},
-    {file = "opentelemetry_instrumentation_fastapi-0.45b0.tar.gz", hash = "sha256:5a6b91e1c08a01601845fcfcfdefd0a2aecdb3c356d4a436a3210cb58c21487e"},
+    {file = "opentelemetry_instrumentation_fastapi-0.46b0-py3-none-any.whl", hash = "sha256:e0f5d150c6c36833dd011f0e6ef5ede6d7406c1aed0c7c98b2d3b38a018d1b33"},
+    {file = "opentelemetry_instrumentation_fastapi-0.46b0.tar.gz", hash = "sha256:928a883a36fc89f9702f15edce43d1a7104da93d740281e32d50ffd03dbb4365"},
 ]
 
 [package.dependencies]
 opentelemetry-api = ">=1.12,<2.0"
-opentelemetry-instrumentation = "0.45b0"
-opentelemetry-instrumentation-asgi = "0.45b0"
-opentelemetry-semantic-conventions = "0.45b0"
-opentelemetry-util-http = "0.45b0"
+opentelemetry-instrumentation = "0.46b0"
+opentelemetry-instrumentation-asgi = "0.46b0"
+opentelemetry-semantic-conventions = "0.46b0"
+opentelemetry-util-http = "0.46b0"
 
 [package.extras]
 instruments = ["fastapi (>=0.58,<1.0)"]
 
 [[package]]
 name = "opentelemetry-proto"
-version = "1.24.0"
+version = "1.25.0"
 description = "OpenTelemetry Python Proto"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_proto-1.24.0-py3-none-any.whl", hash = "sha256:bcb80e1e78a003040db71ccf83f2ad2019273d1e0828089d183b18a1476527ce"},
-    {file = "opentelemetry_proto-1.24.0.tar.gz", hash = "sha256:ff551b8ad63c6cabb1845ce217a6709358dfaba0f75ea1fa21a61ceddc78cab8"},
+    {file = "opentelemetry_proto-1.25.0-py3-none-any.whl", hash = "sha256:f07e3341c78d835d9b86665903b199893befa5e98866f63d22b00d0b7ca4972f"},
+    {file = "opentelemetry_proto-1.25.0.tar.gz", hash = "sha256:35b6ef9dc4a9f7853ecc5006738ad40443701e52c26099e197895cbda8b815a3"},
 ]
 
 [package.dependencies]
@@ -5020,42 +5874,72 @@ protobuf = ">=3.19,<5.0"
 
 [[package]]
 name = "opentelemetry-sdk"
-version = "1.24.0"
+version = "1.25.0"
 description = "OpenTelemetry Python SDK"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_sdk-1.24.0-py3-none-any.whl", hash = "sha256:fa731e24efe832e98bcd90902085b359dcfef7d9c9c00eb5b9a18587dae3eb59"},
-    {file = "opentelemetry_sdk-1.24.0.tar.gz", hash = "sha256:75bc0563affffa827700e0f4f4a68e1e257db0df13372344aebc6f8a64cde2e5"},
+    {file = "opentelemetry_sdk-1.25.0-py3-none-any.whl", hash = "sha256:d97ff7ec4b351692e9d5a15af570c693b8715ad78b8aafbec5c7100fe966b4c9"},
+    {file = "opentelemetry_sdk-1.25.0.tar.gz", hash = "sha256:ce7fc319c57707ef5bf8b74fb9f8ebdb8bfafbe11898410e0d2a761d08a98ec7"},
 ]
 
 [package.dependencies]
-opentelemetry-api = "1.24.0"
-opentelemetry-semantic-conventions = "0.45b0"
+opentelemetry-api = "1.25.0"
+opentelemetry-semantic-conventions = "0.46b0"
 typing-extensions = ">=3.7.4"
 
 [[package]]
 name = "opentelemetry-semantic-conventions"
-version = "0.45b0"
+version = "0.46b0"
 description = "OpenTelemetry Semantic Conventions"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_semantic_conventions-0.45b0-py3-none-any.whl", hash = "sha256:a4a6fb9a7bacd9167c082aa4681009e9acdbfa28ffb2387af50c2fef3d30c864"},
-    {file = "opentelemetry_semantic_conventions-0.45b0.tar.gz", hash = "sha256:7c84215a44ac846bc4b8e32d5e78935c5c43482e491812a0bb8aaf87e4d92118"},
+    {file = "opentelemetry_semantic_conventions-0.46b0-py3-none-any.whl", hash = "sha256:6daef4ef9fa51d51855d9f8e0ccd3a1bd59e0e545abe99ac6203804e36ab3e07"},
+    {file = "opentelemetry_semantic_conventions-0.46b0.tar.gz", hash = "sha256:fbc982ecbb6a6e90869b15c1673be90bd18c8a56ff1cffc0864e38e2edffaefa"},
 ]
 
+[package.dependencies]
+opentelemetry-api = "1.25.0"
+
 [[package]]
 name = "opentelemetry-util-http"
-version = "0.45b0"
+version = "0.46b0"
 description = "Web util for OpenTelemetry"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_util_http-0.45b0-py3-none-any.whl", hash = "sha256:6628868b501b3004e1860f976f410eeb3d3499e009719d818000f24ce17b6e33"},
-    {file = "opentelemetry_util_http-0.45b0.tar.gz", hash = "sha256:4ce08b6a7d52dd7c96b7705b5b4f06fdb6aa3eac1233b3b0bfef8a0cab9a92cd"},
+    {file = "opentelemetry_util_http-0.46b0-py3-none-any.whl", hash = "sha256:8dc1949ce63caef08db84ae977fdc1848fe6dc38e6bbaad0ae3e6ecd0d451629"},
+    {file = "opentelemetry_util_http-0.46b0.tar.gz", hash = "sha256:03b6e222642f9c7eae58d9132343e045b50aca9761fcb53709bd2b663571fdf6"},
 ]
 
+[[package]]
+name = "optuna"
+version = "3.6.1"
+description = "A hyperparameter optimization framework"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "optuna-3.6.1-py3-none-any.whl", hash = "sha256:b32e0490bd6552790b70ec94de77dd2855057c9e229cd9f4da48fe8a31c7f1cc"},
+    {file = "optuna-3.6.1.tar.gz", hash = "sha256:146e530b57b4b9afd7526b3e642fbe65491f7e292b405913355f8e438e361ecf"},
+]
+
+[package.dependencies]
+alembic = ">=1.5.0"
+colorlog = "*"
+numpy = "*"
+packaging = ">=20.0"
+PyYAML = "*"
+sqlalchemy = ">=1.3.0"
+tqdm = "*"
+
+[package.extras]
+benchmark = ["asv (>=0.5.0)", "botorch", "cma", "virtualenv"]
+checking = ["black", "blackdoc", "flake8", "isort", "mypy", "mypy-boto3-s3", "types-PyYAML", "types-redis", "types-setuptools", "types-tqdm", "typing-extensions (>=3.10.0.0)"]
+document = ["ase", "cmaes (>=0.10.0)", "fvcore", "lightgbm", "matplotlib (!=3.6.0)", "pandas", "pillow", "plotly (>=4.9.0)", "scikit-learn", "sphinx", "sphinx-copybutton", "sphinx-gallery", "sphinx-plotly-directive", "sphinx-rtd-theme (>=1.2.0)", "torch", "torchvision"]
+optional = ["boto3", "cmaes (>=0.10.0)", "google-cloud-storage", "matplotlib (!=3.6.0)", "pandas", "plotly (>=4.9.0)", "redis", "scikit-learn (>=0.24.2)", "scipy", "torch"]
+test = ["coverage", "fakeredis[lua]", "kaleido", "moto", "pytest", "scipy (>=1.9.2)", "torch"]
+
 [[package]]
 name = "ordered-set"
 version = "4.1.0"
@@ -5072,61 +5956,62 @@ dev = ["black", "mypy", "pytest"]
 
 [[package]]
 name = "orjson"
-version = "3.9.15"
+version = "3.10.0"
 description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "orjson-3.9.15-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:d61f7ce4727a9fa7680cd6f3986b0e2c732639f46a5e0156e550e35258aa313a"},
-    {file = "orjson-3.9.15-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4feeb41882e8aa17634b589533baafdceb387e01e117b1ec65534ec724023d04"},
-    {file = "orjson-3.9.15-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:fbbeb3c9b2edb5fd044b2a070f127a0ac456ffd079cb82746fc84af01ef021a4"},
-    {file = "orjson-3.9.15-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b66bcc5670e8a6b78f0313bcb74774c8291f6f8aeef10fe70e910b8040f3ab75"},
-    {file = "orjson-3.9.15-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2973474811db7b35c30248d1129c64fd2bdf40d57d84beed2a9a379a6f57d0ab"},
-    {file = "orjson-3.9.15-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9fe41b6f72f52d3da4db524c8653e46243c8c92df826ab5ffaece2dba9cccd58"},
-    {file = "orjson-3.9.15-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:4228aace81781cc9d05a3ec3a6d2673a1ad0d8725b4e915f1089803e9efd2b99"},
-    {file = "orjson-3.9.15-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:6f7b65bfaf69493c73423ce9db66cfe9138b2f9ef62897486417a8fcb0a92bfe"},
-    {file = "orjson-3.9.15-cp310-none-win32.whl", hash = "sha256:2d99e3c4c13a7b0fb3792cc04c2829c9db07838fb6973e578b85c1745e7d0ce7"},
-    {file = "orjson-3.9.15-cp310-none-win_amd64.whl", hash = "sha256:b725da33e6e58e4a5d27958568484aa766e825e93aa20c26c91168be58e08cbb"},
-    {file = "orjson-3.9.15-cp311-cp311-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:c8e8fe01e435005d4421f183038fc70ca85d2c1e490f51fb972db92af6e047c2"},
-    {file = "orjson-3.9.15-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:87f1097acb569dde17f246faa268759a71a2cb8c96dd392cd25c668b104cad2f"},
-    {file = "orjson-3.9.15-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ff0f9913d82e1d1fadbd976424c316fbc4d9c525c81d047bbdd16bd27dd98cfc"},
-    {file = "orjson-3.9.15-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8055ec598605b0077e29652ccfe9372247474375e0e3f5775c91d9434e12d6b1"},
-    {file = "orjson-3.9.15-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d6768a327ea1ba44c9114dba5fdda4a214bdb70129065cd0807eb5f010bfcbb5"},
-    {file = "orjson-3.9.15-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:12365576039b1a5a47df01aadb353b68223da413e2e7f98c02403061aad34bde"},
-    {file = "orjson-3.9.15-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:71c6b009d431b3839d7c14c3af86788b3cfac41e969e3e1c22f8a6ea13139404"},
-    {file = "orjson-3.9.15-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:e18668f1bd39e69b7fed19fa7cd1cd110a121ec25439328b5c89934e6d30d357"},
-    {file = "orjson-3.9.15-cp311-none-win32.whl", hash = "sha256:62482873e0289cf7313461009bf62ac8b2e54bc6f00c6fabcde785709231a5d7"},
-    {file = "orjson-3.9.15-cp311-none-win_amd64.whl", hash = "sha256:b3d336ed75d17c7b1af233a6561cf421dee41d9204aa3cfcc6c9c65cd5bb69a8"},
-    {file = "orjson-3.9.15-cp312-cp312-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:82425dd5c7bd3adfe4e94c78e27e2fa02971750c2b7ffba648b0f5d5cc016a73"},
-    {file = "orjson-3.9.15-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2c51378d4a8255b2e7c1e5cc430644f0939539deddfa77f6fac7b56a9784160a"},
-    {file = "orjson-3.9.15-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:6ae4e06be04dc00618247c4ae3f7c3e561d5bc19ab6941427f6d3722a0875ef7"},
-    {file = "orjson-3.9.15-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bcef128f970bb63ecf9a65f7beafd9b55e3aaf0efc271a4154050fc15cdb386e"},
-    {file = "orjson-3.9.15-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b72758f3ffc36ca566ba98a8e7f4f373b6c17c646ff8ad9b21ad10c29186f00d"},
-    {file = "orjson-3.9.15-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:10c57bc7b946cf2efa67ac55766e41764b66d40cbd9489041e637c1304400494"},
-    {file = "orjson-3.9.15-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:946c3a1ef25338e78107fba746f299f926db408d34553b4754e90a7de1d44068"},
-    {file = "orjson-3.9.15-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:2f256d03957075fcb5923410058982aea85455d035607486ccb847f095442bda"},
-    {file = "orjson-3.9.15-cp312-none-win_amd64.whl", hash = "sha256:5bb399e1b49db120653a31463b4a7b27cf2fbfe60469546baf681d1b39f4edf2"},
-    {file = "orjson-3.9.15-cp38-cp38-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:b17f0f14a9c0ba55ff6279a922d1932e24b13fc218a3e968ecdbf791b3682b25"},
-    {file = "orjson-3.9.15-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7f6cbd8e6e446fb7e4ed5bac4661a29e43f38aeecbf60c4b900b825a353276a1"},
-    {file = "orjson-3.9.15-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:76bc6356d07c1d9f4b782813094d0caf1703b729d876ab6a676f3aaa9a47e37c"},
-    {file = "orjson-3.9.15-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:fdfa97090e2d6f73dced247a2f2d8004ac6449df6568f30e7fa1a045767c69a6"},
-    {file = "orjson-3.9.15-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7413070a3e927e4207d00bd65f42d1b780fb0d32d7b1d951f6dc6ade318e1b5a"},
-    {file = "orjson-3.9.15-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9cf1596680ac1f01839dba32d496136bdd5d8ffb858c280fa82bbfeb173bdd40"},
-    {file = "orjson-3.9.15-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:809d653c155e2cc4fd39ad69c08fdff7f4016c355ae4b88905219d3579e31eb7"},
-    {file = "orjson-3.9.15-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:920fa5a0c5175ab14b9c78f6f820b75804fb4984423ee4c4f1e6d748f8b22bc1"},
-    {file = "orjson-3.9.15-cp38-none-win32.whl", hash = "sha256:2b5c0f532905e60cf22a511120e3719b85d9c25d0e1c2a8abb20c4dede3b05a5"},
-    {file = "orjson-3.9.15-cp38-none-win_amd64.whl", hash = "sha256:67384f588f7f8daf040114337d34a5188346e3fae6c38b6a19a2fe8c663a2f9b"},
-    {file = "orjson-3.9.15-cp39-cp39-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:6fc2fe4647927070df3d93f561d7e588a38865ea0040027662e3e541d592811e"},
-    {file = "orjson-3.9.15-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:34cbcd216e7af5270f2ffa63a963346845eb71e174ea530867b7443892d77180"},
-    {file = "orjson-3.9.15-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:f541587f5c558abd93cb0de491ce99a9ef8d1ae29dd6ab4dbb5a13281ae04cbd"},
-    {file = "orjson-3.9.15-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:92255879280ef9c3c0bcb327c5a1b8ed694c290d61a6a532458264f887f052cb"},
-    {file = "orjson-3.9.15-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:05a1f57fb601c426635fcae9ddbe90dfc1ed42245eb4c75e4960440cac667262"},
-    {file = "orjson-3.9.15-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ede0bde16cc6e9b96633df1631fbcd66491d1063667f260a4f2386a098393790"},
-    {file = "orjson-3.9.15-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:e88b97ef13910e5f87bcbc4dd7979a7de9ba8702b54d3204ac587e83639c0c2b"},
-    {file = "orjson-3.9.15-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:57d5d8cf9c27f7ef6bc56a5925c7fbc76b61288ab674eb352c26ac780caa5b10"},
-    {file = "orjson-3.9.15-cp39-none-win32.whl", hash = "sha256:001f4eb0ecd8e9ebd295722d0cbedf0748680fb9998d3993abaed2f40587257a"},
-    {file = "orjson-3.9.15-cp39-none-win_amd64.whl", hash = "sha256:ea0b183a5fe6b2b45f3b854b0d19c4e932d6f5934ae1f723b07cf9560edd4ec7"},
-    {file = "orjson-3.9.15.tar.gz", hash = "sha256:95cae920959d772f30ab36d3b25f83bb0f3be671e986c72ce22f8fa700dae061"},
+    {file = "orjson-3.10.0-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:47af5d4b850a2d1328660661f0881b67fdbe712aea905dadd413bdea6f792c33"},
+    {file = "orjson-3.10.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c90681333619d78360d13840c7235fdaf01b2b129cb3a4f1647783b1971542b6"},
+    {file = "orjson-3.10.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:400c5b7c4222cb27b5059adf1fb12302eebcabf1978f33d0824aa5277ca899bd"},
+    {file = "orjson-3.10.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5dcb32e949eae80fb335e63b90e5808b4b0f64e31476b3777707416b41682db5"},
+    {file = "orjson-3.10.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:aa7d507c7493252c0a0264b5cc7e20fa2f8622b8a83b04d819b5ce32c97cf57b"},
+    {file = "orjson-3.10.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e286a51def6626f1e0cc134ba2067dcf14f7f4b9550f6dd4535fd9d79000040b"},
+    {file = "orjson-3.10.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:8acd4b82a5f3a3ec8b1dc83452941d22b4711964c34727eb1e65449eead353ca"},
+    {file = "orjson-3.10.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:30707e646080dd3c791f22ce7e4a2fc2438765408547c10510f1f690bd336217"},
+    {file = "orjson-3.10.0-cp310-none-win32.whl", hash = "sha256:115498c4ad34188dcb73464e8dc80e490a3e5e88a925907b6fedcf20e545001a"},
+    {file = "orjson-3.10.0-cp310-none-win_amd64.whl", hash = "sha256:6735dd4a5a7b6df00a87d1d7a02b84b54d215fb7adac50dd24da5997ffb4798d"},
+    {file = "orjson-3.10.0-cp311-cp311-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:9587053e0cefc284e4d1cd113c34468b7d3f17666d22b185ea654f0775316a26"},
+    {file = "orjson-3.10.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1bef1050b1bdc9ea6c0d08468e3e61c9386723633b397e50b82fda37b3563d72"},
+    {file = "orjson-3.10.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d16c6963ddf3b28c0d461641517cd312ad6b3cf303d8b87d5ef3fa59d6844337"},
+    {file = "orjson-3.10.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4251964db47ef090c462a2d909f16c7c7d5fe68e341dabce6702879ec26d1134"},
+    {file = "orjson-3.10.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:73bbbdc43d520204d9ef0817ac03fa49c103c7f9ea94f410d2950755be2c349c"},
+    {file = "orjson-3.10.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:414e5293b82373606acf0d66313aecb52d9c8c2404b1900683eb32c3d042dbd7"},
+    {file = "orjson-3.10.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:feaed5bb09877dc27ed0d37f037ddef6cb76d19aa34b108db270d27d3d2ef747"},
+    {file = "orjson-3.10.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:5127478260db640323cea131ee88541cb1a9fbce051f0b22fa2f0892f44da302"},
+    {file = "orjson-3.10.0-cp311-none-win32.whl", hash = "sha256:b98345529bafe3c06c09996b303fc0a21961820d634409b8639bc16bd4f21b63"},
+    {file = "orjson-3.10.0-cp311-none-win_amd64.whl", hash = "sha256:658ca5cee3379dd3d37dbacd43d42c1b4feee99a29d847ef27a1cb18abdfb23f"},
+    {file = "orjson-3.10.0-cp312-cp312-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:4329c1d24fd130ee377e32a72dc54a3c251e6706fccd9a2ecb91b3606fddd998"},
+    {file = "orjson-3.10.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ef0f19fdfb6553342b1882f438afd53c7cb7aea57894c4490c43e4431739c700"},
+    {file = "orjson-3.10.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c4f60db24161534764277f798ef53b9d3063092f6d23f8f962b4a97edfa997a0"},
+    {file = "orjson-3.10.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1de3fd5c7b208d836f8ecb4526995f0d5877153a4f6f12f3e9bf11e49357de98"},
+    {file = "orjson-3.10.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f93e33f67729d460a177ba285002035d3f11425ed3cebac5f6ded4ef36b28344"},
+    {file = "orjson-3.10.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:237ba922aef472761acd697eef77fef4831ab769a42e83c04ac91e9f9e08fa0e"},
+    {file = "orjson-3.10.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:98c1bfc6a9bec52bc8f0ab9b86cc0874b0299fccef3562b793c1576cf3abb570"},
+    {file = "orjson-3.10.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:30d795a24be16c03dca0c35ca8f9c8eaaa51e3342f2c162d327bd0225118794a"},
+    {file = "orjson-3.10.0-cp312-none-win32.whl", hash = "sha256:6a3f53dc650bc860eb26ec293dfb489b2f6ae1cbfc409a127b01229980e372f7"},
+    {file = "orjson-3.10.0-cp312-none-win_amd64.whl", hash = "sha256:983db1f87c371dc6ffc52931eb75f9fe17dc621273e43ce67bee407d3e5476e9"},
+    {file = "orjson-3.10.0-cp38-cp38-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:9a667769a96a72ca67237224a36faf57db0c82ab07d09c3aafc6f956196cfa1b"},
+    {file = "orjson-3.10.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ade1e21dfde1d37feee8cf6464c20a2f41fa46c8bcd5251e761903e46102dc6b"},
+    {file = "orjson-3.10.0-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:23c12bb4ced1c3308eff7ba5c63ef8f0edb3e4c43c026440247dd6c1c61cea4b"},
+    {file = "orjson-3.10.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b2d014cf8d4dc9f03fc9f870de191a49a03b1bcda51f2a957943fb9fafe55aac"},
+    {file = "orjson-3.10.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:eadecaa16d9783affca33597781328e4981b048615c2ddc31c47a51b833d6319"},
+    {file = "orjson-3.10.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cd583341218826f48bd7c6ebf3310b4126216920853cbc471e8dbeaf07b0b80e"},
+    {file = "orjson-3.10.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:90bfc137c75c31d32308fd61951d424424426ddc39a40e367704661a9ee97095"},
+    {file = "orjson-3.10.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:13b5d3c795b09a466ec9fcf0bd3ad7b85467d91a60113885df7b8d639a9d374b"},
+    {file = "orjson-3.10.0-cp38-none-win32.whl", hash = "sha256:5d42768db6f2ce0162544845facb7c081e9364a5eb6d2ef06cd17f6050b048d8"},
+    {file = "orjson-3.10.0-cp38-none-win_amd64.whl", hash = "sha256:33e6655a2542195d6fd9f850b428926559dee382f7a862dae92ca97fea03a5ad"},
+    {file = "orjson-3.10.0-cp39-cp39-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:4050920e831a49d8782a1720d3ca2f1c49b150953667eed6e5d63a62e80f46a2"},
+    {file = "orjson-3.10.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1897aa25a944cec774ce4a0e1c8e98fb50523e97366c637b7d0cddabc42e6643"},
+    {file = "orjson-3.10.0-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:9bf565a69e0082ea348c5657401acec3cbbb31564d89afebaee884614fba36b4"},
+    {file = "orjson-3.10.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b6ebc17cfbbf741f5c1a888d1854354536f63d84bee537c9a7c0335791bb9009"},
+    {file = "orjson-3.10.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d2817877d0b69f78f146ab305c5975d0618df41acf8811249ee64231f5953fee"},
+    {file = "orjson-3.10.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:57d017863ec8aa4589be30a328dacd13c2dc49de1c170bc8d8c8a98ece0f2925"},
+    {file = "orjson-3.10.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:22c2f7e377ac757bd3476ecb7480c8ed79d98ef89648f0176deb1da5cd014eb7"},
+    {file = "orjson-3.10.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:e62ba42bfe64c60c1bc84799944f80704e996592c6b9e14789c8e2a303279912"},
+    {file = "orjson-3.10.0-cp39-none-win32.whl", hash = "sha256:60c0b1bdbccd959ebd1575bd0147bd5e10fc76f26216188be4a36b691c937077"},
+    {file = "orjson-3.10.0-cp39-none-win_amd64.whl", hash = "sha256:175a41500ebb2fdf320bf78e8b9a75a1279525b62ba400b2b2444e274c2c8bee"},
+    {file = "orjson-3.10.0.tar.gz", hash = "sha256:ba4d8cac5f2e2cff36bea6b6481cdb92b38c202bcec603d6f5ff91960595a1ed"},
 ]
 
 [[package]]
@@ -5193,6 +6078,7 @@ files = [
 numpy = [
     {version = ">=1.22.4,<2", markers = "python_version < \"3.11\""},
     {version = ">=1.23.2,<2", markers = "python_version == \"3.11\""},
+    {version = ">=1.26.0,<2", markers = "python_version >= \"3.12\""},
 ]
 python-dateutil = ">=2.8.2"
 pytz = ">=2020.1"
@@ -5224,19 +6110,36 @@ xml = ["lxml (>=4.9.2)"]
 
 [[package]]
 name = "pandas-stubs"
-version = "2.2.1.240316"
+version = "2.2.2.240603"
 description = "Type annotations for pandas"
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "pandas_stubs-2.2.1.240316-py3-none-any.whl", hash = "sha256:0126a26451a37cb893ea62357ca87ba3d181bd999ec8ba2ca5602e20207d6682"},
-    {file = "pandas_stubs-2.2.1.240316.tar.gz", hash = "sha256:236a4f812fb6b1922e9607ff09e427f6d8540c421c9e5a40e3e4ddf7adac7f05"},
+    {file = "pandas_stubs-2.2.2.240603-py3-none-any.whl", hash = "sha256:e08ce7f602a4da2bff5a67475ba881c39f2a4d4f7fccc1cba57c6f35a379c6c0"},
+    {file = "pandas_stubs-2.2.2.240603.tar.gz", hash = "sha256:2dcc86e8fa6ea41535a4561c1f08b3942ba5267b464eff2e99caeee66f9e4cd1"},
 ]
 
 [package.dependencies]
-numpy = {version = ">=1.26.0", markers = "python_version < \"3.13\""}
+numpy = [
+    {version = ">=1.23.5", markers = "python_version >= \"3.9\" and python_version < \"3.12\""},
+    {version = ">=1.26.0", markers = "python_version >= \"3.12\" and python_version < \"3.13\""},
+]
 types-pytz = ">=2022.1.1"
 
+[[package]]
+name = "parameterized"
+version = "0.9.0"
+description = "Parameterized testing with any Python test framework"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "parameterized-0.9.0-py2.py3-none-any.whl", hash = "sha256:4e0758e3d41bea3bbd05ec14fc2c24736723f243b28d702081aef438c9372b1b"},
+    {file = "parameterized-0.9.0.tar.gz", hash = "sha256:7fc905272cefa4f364c1a3429cbbe9c0f98b793988efb5bf90aac80f08db09b1"},
+]
+
+[package.extras]
+dev = ["jinja2"]
+
 [[package]]
 name = "parso"
 version = "0.8.4"
@@ -5269,21 +6172,6 @@ bcrypt = ["bcrypt (>=3.1.0)"]
 build-docs = ["cloud-sptheme (>=1.10.1)", "sphinx (>=1.6)", "sphinxcontrib-fulltoc (>=1.2.0)"]
 totp = ["cryptography"]
 
-[[package]]
-name = "pcodedmp"
-version = "1.2.6"
-description = "A VBA p-code disassembler"
-optional = false
-python-versions = "*"
-files = [
-    {file = "pcodedmp-1.2.6-py2.py3-none-any.whl", hash = "sha256:4441f7c0ab4cbda27bd4668db3b14f36261d86e5059ce06c0828602cbe1c4278"},
-    {file = "pcodedmp-1.2.6.tar.gz", hash = "sha256:025f8c809a126f45a082ffa820893e6a8d990d9d7ddb68694b5a9f0a6dbcd955"},
-]
-
-[package.dependencies]
-oletools = ">=0.54"
-win-unicode-console = {version = "*", markers = "platform_system == \"Windows\" and platform_python_implementation != \"PyPy\""}
-
 [[package]]
 name = "pexpect"
 version = "4.9.0"
@@ -5412,20 +6300,23 @@ files = [
 certifi = ">=2019.11.17"
 tqdm = ">=4.64.1"
 typing-extensions = ">=3.7.4"
-urllib3 = {version = ">=1.26.0", markers = "python_version >= \"3.8\" and python_version < \"3.12\""}
+urllib3 = [
+    {version = ">=1.26.0", markers = "python_version >= \"3.8\" and python_version < \"3.12\""},
+    {version = ">=1.26.5", markers = "python_version >= \"3.12\" and python_version < \"4.0\""},
+]
 
 [package.extras]
 grpc = ["googleapis-common-protos (>=1.53.0)", "grpc-gateway-protoc-gen-openapiv2 (==0.1.0)", "grpcio (>=1.44.0)", "grpcio (>=1.59.0)", "lz4 (>=3.1.3)", "protobuf (>=3.20.0,<3.21.0)"]
 
 [[package]]
 name = "platformdirs"
-version = "4.2.1"
+version = "4.2.2"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "platformdirs-4.2.1-py3-none-any.whl", hash = "sha256:17d5a1161b3fd67b390023cb2d3b026bbd40abde6fdb052dfbd3a29c3ba22ee1"},
-    {file = "platformdirs-4.2.1.tar.gz", hash = "sha256:031cd18d4ec63ec53e82dceaac0417d218a6863f7745dfcc9efe7793b7039bdf"},
+    {file = "platformdirs-4.2.2-py3-none-any.whl", hash = "sha256:2d7a1657e36a80ea911db832a8a6ece5ee53d8de21edd5cc5879af6530b1bfee"},
+    {file = "platformdirs-4.2.2.tar.gz", hash = "sha256:38b7b51f512eed9e84a22788b4bce1de17c0adb134d6becb09836e37d8654cd3"},
 ]
 
 [package.extras]
@@ -5450,13 +6341,13 @@ testing = ["pytest", "pytest-benchmark"]
 
 [[package]]
 name = "portalocker"
-version = "2.8.2"
+version = "2.10.0"
 description = "Wraps the portalocker recipe for easy usage"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "portalocker-2.8.2-py3-none-any.whl", hash = "sha256:cfb86acc09b9aa7c3b43594e19be1345b9d16af3feb08bf92f23d4dce513a28e"},
-    {file = "portalocker-2.8.2.tar.gz", hash = "sha256:2b035aa7828e46c58e9b31390ee1f169b98e1066ab10b9a6a861fe7e25ee4f33"},
+    {file = "portalocker-2.10.0-py3-none-any.whl", hash = "sha256:48944147b2cd42520549bc1bb8fe44e220296e56f7c3d551bc6ecce69d9b0de1"},
+    {file = "portalocker-2.10.0.tar.gz", hash = "sha256:49de8bc0a2f68ca98bf9e219c81a3e6b27097c7bf505a87c5a112ce1aaeb9b81"},
 ]
 
 [package.dependencies]
@@ -5469,13 +6360,13 @@ tests = ["pytest (>=5.4.1)", "pytest-cov (>=2.8.1)", "pytest-mypy (>=0.8.0)", "p
 
 [[package]]
 name = "postgrest"
-version = "0.16.4"
+version = "0.16.8"
 description = "PostgREST client for Python. This library provides an ORM interface to PostgREST."
 optional = false
 python-versions = "<4.0,>=3.8"
 files = [
-    {file = "postgrest-0.16.4-py3-none-any.whl", hash = "sha256:304425381eb38e31018832a524943d7d1f07687be80c3c7397d8ae69ca56cb88"},
-    {file = "postgrest-0.16.4.tar.gz", hash = "sha256:e16973155be1464101d18a51cc060707cd177b918f4b01ea8afa51746ca870ef"},
+    {file = "postgrest-0.16.8-py3-none-any.whl", hash = "sha256:c353a24452f51ab9760cf2b884c4b7457a2653ff36444e66b12615bc4cc8e23e"},
+    {file = "postgrest-0.16.8.tar.gz", hash = "sha256:7b3802a514dc1e0fc8b5bbdeb2c99af35a0bd910e4ddb17855ca4e3422350c84"},
 ]
 
 [package.dependencies]
@@ -5507,6 +6398,24 @@ dev = ["black", "flake8", "flake8-print", "isort", "pre-commit"]
 sentry = ["django", "sentry-sdk"]
 test = ["coverage", "flake8", "freezegun (==0.3.15)", "mock (>=2.0.0)", "pylint", "pytest", "pytest-timeout"]
 
+[[package]]
+name = "pre-commit"
+version = "3.7.1"
+description = "A framework for managing and maintaining multi-language pre-commit hooks."
+optional = false
+python-versions = ">=3.9"
+files = [
+    {file = "pre_commit-3.7.1-py2.py3-none-any.whl", hash = "sha256:fae36fd1d7ad7d6a5a1c0b0d5adb2ed1a3bda5a21bf6c3e5372073d7a11cd4c5"},
+    {file = "pre_commit-3.7.1.tar.gz", hash = "sha256:8ca3ad567bc78a4972a3f1a477e94a79d4597e8140a6e0b651c5e33899c3654a"},
+]
+
+[package.dependencies]
+cfgv = ">=2.0.0"
+identify = ">=1.0.0"
+nodeenv = ">=0.11.1"
+pyyaml = ">=5.1"
+virtualenv = ">=20.10.0"
+
 [[package]]
 name = "prometheus-client"
 version = "0.20.0"
@@ -5523,13 +6432,13 @@ twisted = ["twisted"]
 
 [[package]]
 name = "prompt-toolkit"
-version = "3.0.43"
+version = "3.0.47"
 description = "Library for building powerful interactive command lines in Python"
 optional = false
 python-versions = ">=3.7.0"
 files = [
-    {file = "prompt_toolkit-3.0.43-py3-none-any.whl", hash = "sha256:a11a29cb3bf0a28a387fe5122cdb649816a957cd9261dcedf8c9f1fef33eacf6"},
-    {file = "prompt_toolkit-3.0.43.tar.gz", hash = "sha256:3527b7af26106cbc65a040bcc84839a3566ec1b051bb0bfe953631e704b0ff7d"},
+    {file = "prompt_toolkit-3.0.47-py3-none-any.whl", hash = "sha256:0d7bfa67001d5e39d02c224b663abc33687405033a8c422d0d675a5a13361d10"},
+    {file = "prompt_toolkit-3.0.47.tar.gz", hash = "sha256:1e1b29cb58080b1e69f207c893a1a7bf16d127a5c30c9d17a25a5d77792e5360"},
 ]
 
 [package.dependencies]
@@ -5537,20 +6446,20 @@ wcwidth = "*"
 
 [[package]]
 name = "proto-plus"
-version = "1.23.0"
+version = "1.24.0"
 description = "Beautiful, Pythonic protocol buffers."
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 files = [
-    {file = "proto-plus-1.23.0.tar.gz", hash = "sha256:89075171ef11988b3fa157f5dbd8b9cf09d65fffee97e29ce403cd8defba19d2"},
-    {file = "proto_plus-1.23.0-py3-none-any.whl", hash = "sha256:a829c79e619e1cf632de091013a4173deed13a55f326ef84f05af6f50ff4c82c"},
+    {file = "proto-plus-1.24.0.tar.gz", hash = "sha256:30b72a5ecafe4406b0d339db35b56c4059064e69227b8c3bda7462397f966445"},
+    {file = "proto_plus-1.24.0-py3-none-any.whl", hash = "sha256:402576830425e5f6ce4c2a6702400ac79897dab0b4343821aa5188b0fab81a12"},
 ]
 
 [package.dependencies]
-protobuf = ">=3.19.0,<5.0.0dev"
+protobuf = ">=3.19.0,<6.0.0dev"
 
 [package.extras]
-testing = ["google-api-core[grpc] (>=1.31.5)"]
+testing = ["google-api-core (>=1.31.5)"]
 
 [[package]]
 name = "protobuf"
@@ -5574,27 +6483,28 @@ files = [
 
 [[package]]
 name = "psutil"
-version = "5.9.8"
+version = "6.0.0"
 description = "Cross-platform lib for process and system monitoring in Python."
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
 files = [
-    {file = "psutil-5.9.8-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:26bd09967ae00920df88e0352a91cff1a78f8d69b3ecabbfe733610c0af486c8"},
-    {file = "psutil-5.9.8-cp27-cp27m-manylinux2010_i686.whl", hash = "sha256:05806de88103b25903dff19bb6692bd2e714ccf9e668d050d144012055cbca73"},
-    {file = "psutil-5.9.8-cp27-cp27m-manylinux2010_x86_64.whl", hash = "sha256:611052c4bc70432ec770d5d54f64206aa7203a101ec273a0cd82418c86503bb7"},
-    {file = "psutil-5.9.8-cp27-cp27mu-manylinux2010_i686.whl", hash = "sha256:50187900d73c1381ba1454cf40308c2bf6f34268518b3f36a9b663ca87e65e36"},
-    {file = "psutil-5.9.8-cp27-cp27mu-manylinux2010_x86_64.whl", hash = "sha256:02615ed8c5ea222323408ceba16c60e99c3f91639b07da6373fb7e6539abc56d"},
-    {file = "psutil-5.9.8-cp27-none-win32.whl", hash = "sha256:36f435891adb138ed3c9e58c6af3e2e6ca9ac2f365efe1f9cfef2794e6c93b4e"},
-    {file = "psutil-5.9.8-cp27-none-win_amd64.whl", hash = "sha256:bd1184ceb3f87651a67b2708d4c3338e9b10c5df903f2e3776b62303b26cb631"},
-    {file = "psutil-5.9.8-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:aee678c8720623dc456fa20659af736241f575d79429a0e5e9cf88ae0605cc81"},
-    {file = "psutil-5.9.8-cp36-abi3-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8cb6403ce6d8e047495a701dc7c5bd788add903f8986d523e3e20b98b733e421"},
-    {file = "psutil-5.9.8-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d06016f7f8625a1825ba3732081d77c94589dca78b7a3fc072194851e88461a4"},
-    {file = "psutil-5.9.8-cp36-cp36m-win32.whl", hash = "sha256:7d79560ad97af658a0f6adfef8b834b53f64746d45b403f225b85c5c2c140eee"},
-    {file = "psutil-5.9.8-cp36-cp36m-win_amd64.whl", hash = "sha256:27cc40c3493bb10de1be4b3f07cae4c010ce715290a5be22b98493509c6299e2"},
-    {file = "psutil-5.9.8-cp37-abi3-win32.whl", hash = "sha256:bc56c2a1b0d15aa3eaa5a60c9f3f8e3e565303b465dbf57a1b730e7a2b9844e0"},
-    {file = "psutil-5.9.8-cp37-abi3-win_amd64.whl", hash = "sha256:8db4c1b57507eef143a15a6884ca10f7c73876cdf5d51e713151c1236a0e68cf"},
-    {file = "psutil-5.9.8-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:d16bbddf0693323b8c6123dd804100241da461e41d6e332fb0ba6058f630f8c8"},
-    {file = "psutil-5.9.8.tar.gz", hash = "sha256:6be126e3225486dff286a8fb9a06246a5253f4c7c53b475ea5f5ac934e64194c"},
+    {file = "psutil-6.0.0-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:a021da3e881cd935e64a3d0a20983bda0bb4cf80e4f74fa9bfcb1bc5785360c6"},
+    {file = "psutil-6.0.0-cp27-cp27m-manylinux2010_i686.whl", hash = "sha256:1287c2b95f1c0a364d23bc6f2ea2365a8d4d9b726a3be7294296ff7ba97c17f0"},
+    {file = "psutil-6.0.0-cp27-cp27m-manylinux2010_x86_64.whl", hash = "sha256:a9a3dbfb4de4f18174528d87cc352d1f788b7496991cca33c6996f40c9e3c92c"},
+    {file = "psutil-6.0.0-cp27-cp27mu-manylinux2010_i686.whl", hash = "sha256:6ec7588fb3ddaec7344a825afe298db83fe01bfaaab39155fa84cf1c0d6b13c3"},
+    {file = "psutil-6.0.0-cp27-cp27mu-manylinux2010_x86_64.whl", hash = "sha256:1e7c870afcb7d91fdea2b37c24aeb08f98b6d67257a5cb0a8bc3ac68d0f1a68c"},
+    {file = "psutil-6.0.0-cp27-none-win32.whl", hash = "sha256:02b69001f44cc73c1c5279d02b30a817e339ceb258ad75997325e0e6169d8b35"},
+    {file = "psutil-6.0.0-cp27-none-win_amd64.whl", hash = "sha256:21f1fb635deccd510f69f485b87433460a603919b45e2a324ad65b0cc74f8fb1"},
+    {file = "psutil-6.0.0-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:c588a7e9b1173b6e866756dde596fd4cad94f9399daf99ad8c3258b3cb2b47a0"},
+    {file = "psutil-6.0.0-cp36-abi3-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6ed2440ada7ef7d0d608f20ad89a04ec47d2d3ab7190896cd62ca5fc4fe08bf0"},
+    {file = "psutil-6.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5fd9a97c8e94059b0ef54a7d4baf13b405011176c3b6ff257c247cae0d560ecd"},
+    {file = "psutil-6.0.0-cp36-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e2e8d0054fc88153ca0544f5c4d554d42e33df2e009c4ff42284ac9ebdef4132"},
+    {file = "psutil-6.0.0-cp36-cp36m-win32.whl", hash = "sha256:fc8c9510cde0146432bbdb433322861ee8c3efbf8589865c8bf8d21cb30c4d14"},
+    {file = "psutil-6.0.0-cp36-cp36m-win_amd64.whl", hash = "sha256:34859b8d8f423b86e4385ff3665d3f4d94be3cdf48221fbe476e883514fdb71c"},
+    {file = "psutil-6.0.0-cp37-abi3-win32.whl", hash = "sha256:a495580d6bae27291324fe60cea0b5a7c23fa36a7cd35035a16d93bdcf076b9d"},
+    {file = "psutil-6.0.0-cp37-abi3-win_amd64.whl", hash = "sha256:33ea5e1c975250a720b3a6609c490db40dae5d83a4eb315170c4fe0d8b1f34b3"},
+    {file = "psutil-6.0.0-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:ffe7fc9b6b36beadc8c322f84e1caff51e8703b88eee1da46d1e3a6ae11b4fd0"},
+    {file = "psutil-6.0.0.tar.gz", hash = "sha256:8faae4f310b6d969fa26ca0545338b21f73c6b15db7c4a8d934a5482faa818f2"},
 ]
 
 [package.extras]
@@ -5602,13 +6512,13 @@ test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"]
 
 [[package]]
 name = "psycopg"
-version = "3.1.18"
+version = "3.1.19"
 description = "PostgreSQL database adapter for Python"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "psycopg-3.1.18-py3-none-any.whl", hash = "sha256:4d5a0a5a8590906daa58ebd5f3cfc34091377354a1acced269dd10faf55da60e"},
-    {file = "psycopg-3.1.18.tar.gz", hash = "sha256:31144d3fb4c17d78094d9e579826f047d4af1da6a10427d91dfcfb6ecdf6f12b"},
+    {file = "psycopg-3.1.19-py3-none-any.whl", hash = "sha256:dca5e5521c859f6606686432ae1c94e8766d29cc91f2ee595378c510cc5b0731"},
+    {file = "psycopg-3.1.19.tar.gz", hash = "sha256:92d7b78ad82426cdcf1a0440678209faa890c6e1721361c2f8901f0dccd62961"},
 ]
 
 [package.dependencies]
@@ -5616,8 +6526,8 @@ typing-extensions = ">=4.1"
 tzdata = {version = "*", markers = "sys_platform == \"win32\""}
 
 [package.extras]
-binary = ["psycopg-binary (==3.1.18)"]
-c = ["psycopg-c (==3.1.18)"]
+binary = ["psycopg-binary (==3.1.19)"]
+c = ["psycopg-c (==3.1.19)"]
 dev = ["black (>=24.1.0)", "codespell (>=2.2)", "dnspython (>=2.1)", "flake8 (>=4.0)", "mypy (>=1.4.1)", "types-setuptools (>=57.4)", "wheel (>=0.37)"]
 docs = ["Sphinx (>=5.0)", "furo (==2022.6.21)", "sphinx-autobuild (>=2021.3.14)", "sphinx-autodoc-typehints (>=1.12)"]
 pool = ["psycopg-pool"]
@@ -5625,76 +6535,74 @@ test = ["anyio (>=3.6.2,<4.0)", "mypy (>=1.4.1)", "pproxy (>=2.7)", "pytest (>=6
 
 [[package]]
 name = "psycopg-binary"
-version = "3.1.18"
+version = "3.1.19"
 description = "PostgreSQL database adapter for Python -- C optimisation distribution"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "psycopg_binary-3.1.18-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5c323103dfa663b88204cf5f028e83c77d7a715f9b6f51d2bbc8184b99ddd90a"},
-    {file = "psycopg_binary-3.1.18-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:887f8d856c91510148be942c7acd702ccf761a05f59f8abc123c22ab77b5a16c"},
-    {file = "psycopg_binary-3.1.18-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d322ba72cde4ca2eefc2196dad9ad7e52451acd2f04e3688d590290625d0c970"},
-    {file = "psycopg_binary-3.1.18-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:489aa4fe5a0b653b68341e9e44af247dedbbc655326854aa34c163ef1bcb3143"},
-    {file = "psycopg_binary-3.1.18-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:55ff0948457bfa8c0d35c46e3a75193906d1c275538877ba65907fd67aa059ad"},
-    {file = "psycopg_binary-3.1.18-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b15e3653c82384b043d820fc637199b5c6a36b37fa4a4943e0652785bb2bad5d"},
-    {file = "psycopg_binary-3.1.18-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:f8ff3bc08b43f36fdc24fedb86d42749298a458c4724fb588c4d76823ac39f54"},
-    {file = "psycopg_binary-3.1.18-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:1729d0e3dfe2546d823841eb7a3d003144189d6f5e138ee63e5227f8b75276a5"},
-    {file = "psycopg_binary-3.1.18-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:13bcd3742112446037d15e360b27a03af4b5afcf767f5ee374ef8f5dd7571b31"},
-    {file = "psycopg_binary-3.1.18-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:320047e3d3554b857e16c2b6b615a85e0db6a02426f4d203a4594a2f125dfe57"},
-    {file = "psycopg_binary-3.1.18-cp310-cp310-win_amd64.whl", hash = "sha256:888a72c2aca4316ca6d4a619291b805677bae99bba2f6e31a3c18424a48c7e4d"},
-    {file = "psycopg_binary-3.1.18-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:4e4de16a637ec190cbee82e0c2dc4860fed17a23a35f7a1e6dc479a5c6876722"},
-    {file = "psycopg_binary-3.1.18-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:6432047b8b24ef97e3fbee1d1593a0faaa9544c7a41a2c67d1f10e7621374c83"},
-    {file = "psycopg_binary-3.1.18-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9d684227ef8212e27da5f2aff9d4d303cc30b27ac1702d4f6881935549486dd5"},
-    {file = "psycopg_binary-3.1.18-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:67284e2e450dc7a9e4d76e78c0bd357dc946334a3d410defaeb2635607f632cd"},
-    {file = "psycopg_binary-3.1.18-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1c9b6bd7fb5c6638cb32469674707649b526acfe786ba6d5a78ca4293d87bae4"},
-    {file = "psycopg_binary-3.1.18-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7121acc783c4e86d2d320a7fb803460fab158a7f0a04c5e8c5d49065118c1e73"},
-    {file = "psycopg_binary-3.1.18-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:e28ff8f3de7b56588c2a398dc135fd9f157d12c612bd3daa7e6ba9872337f6f5"},
-    {file = "psycopg_binary-3.1.18-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:c84a0174109f329eeda169004c7b7ca2e884a6305acab4a39600be67f915ed38"},
-    {file = "psycopg_binary-3.1.18-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:531381f6647fc267383dca88dbe8a70d0feff433a8e3d0c4939201fea7ae1b82"},
-    {file = "psycopg_binary-3.1.18-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:b293e01057e63c3ac0002aa132a1071ce0fdb13b9ee2b6b45d3abdb3525c597d"},
-    {file = "psycopg_binary-3.1.18-cp311-cp311-win_amd64.whl", hash = "sha256:780a90bcb69bf27a8b08bc35b958e974cb6ea7a04cdec69e737f66378a344d68"},
-    {file = "psycopg_binary-3.1.18-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:87dd9154b757a5fbf6d590f6f6ea75f4ad7b764a813ae04b1d91a70713f414a1"},
-    {file = "psycopg_binary-3.1.18-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:f876ebbf92db70125f6375f91ab4bc6b27648aa68f90d661b1fc5affb4c9731c"},
-    {file = "psycopg_binary-3.1.18-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:258d2f0cb45e4574f8b2fe7c6d0a0e2eb58903a4fd1fbaf60954fba82d595ab7"},
-    {file = "psycopg_binary-3.1.18-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:bd27f713f2e5ef3fd6796e66c1a5203a27a30ecb847be27a78e1df8a9a5ae68c"},
-    {file = "psycopg_binary-3.1.18-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c38a4796abf7380f83b1653c2711cb2449dd0b2e5aca1caa75447d6fa5179c69"},
-    {file = "psycopg_binary-3.1.18-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b2f7f95746efd1be2dc240248cc157f4315db3fd09fef2adfcc2a76e24aa5741"},
-    {file = "psycopg_binary-3.1.18-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:4085f56a8d4fc8b455e8f44380705c7795be5317419aa5f8214f315e4205d804"},
-    {file = "psycopg_binary-3.1.18-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:2e2484ae835dedc80cdc7f1b1a939377dc967fed862262cfd097aa9f50cade46"},
-    {file = "psycopg_binary-3.1.18-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:3c2b039ae0c45eee4cd85300ef802c0f97d0afc78350946a5d0ec77dd2d7e834"},
-    {file = "psycopg_binary-3.1.18-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8f54978c4b646dec77fefd8485fa82ec1a87807f334004372af1aaa6de9539a5"},
-    {file = "psycopg_binary-3.1.18-cp312-cp312-win_amd64.whl", hash = "sha256:9ffcbbd389e486d3fd83d30107bbf8b27845a295051ccabde240f235d04ed921"},
-    {file = "psycopg_binary-3.1.18-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:c76659ae29a84f2c14f56aad305dd00eb685bd88f8c0a3281a9a4bc6bd7d2aa7"},
-    {file = "psycopg_binary-3.1.18-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3c7afcd6f1d55992f26d9ff7b0bd4ee6b475eb43aa3f054d67d32e09f18b0065"},
-    {file = "psycopg_binary-3.1.18-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:639dd78ac09b144b0119076783cb64e1128cc8612243e9701d1503c816750b2e"},
-    {file = "psycopg_binary-3.1.18-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e1cf59e0bb12e031a48bb628aae32df3d0c98fd6c759cb89f464b1047f0ca9c8"},
-    {file = "psycopg_binary-3.1.18-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e262398e5d51563093edf30612cd1e20fedd932ad0994697d7781ca4880cdc3d"},
-    {file = "psycopg_binary-3.1.18-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:59701118c7d8842e451f1e562d08e8708b3f5d14974eefbce9374badd723c4ae"},
-    {file = "psycopg_binary-3.1.18-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:dea4a59da7850192fdead9da888e6b96166e90608cf39e17b503f45826b16f84"},
-    {file = "psycopg_binary-3.1.18-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:4575da95fc441244a0e2ebaf33a2b2f74164603341d2046b5cde0a9aa86aa7e2"},
-    {file = "psycopg_binary-3.1.18-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:812726266ab96de681f2c7dbd6b734d327f493a78357fcc16b2ac86ff4f4e080"},
-    {file = "psycopg_binary-3.1.18-cp37-cp37m-win_amd64.whl", hash = "sha256:3e7ce4d988112ca6c75765c7f24c83bdc476a6a5ce00878df6c140ca32c3e16d"},
-    {file = "psycopg_binary-3.1.18-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:02bd4da45d5ee9941432e2e9bf36fa71a3ac21c6536fe7366d1bd3dd70d6b1e7"},
-    {file = "psycopg_binary-3.1.18-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:39242546383f6b97032de7af30edb483d237a0616f6050512eee7b218a2aa8ee"},
-    {file = "psycopg_binary-3.1.18-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d46ae44d66bf6058a812467f6ae84e4e157dee281bfb1cfaeca07dee07452e85"},
-    {file = "psycopg_binary-3.1.18-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ad35ac7fd989184bf4d38a87decfb5a262b419e8ba8dcaeec97848817412c64a"},
-    {file = "psycopg_binary-3.1.18-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:247474af262bdd5559ee6e669926c4f23e9cf53dae2d34c4d991723c72196404"},
-    {file = "psycopg_binary-3.1.18-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6ebecbf2406cd6875bdd2453e31067d1bd8efe96705a9489ef37e93b50dc6f09"},
-    {file = "psycopg_binary-3.1.18-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:1859aeb2133f5ecdd9cbcee155f5e38699afc06a365f903b1512c765fd8d457e"},
-    {file = "psycopg_binary-3.1.18-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:da917f6df8c6b2002043193cb0d74cc173b3af7eb5800ad69c4e1fbac2a71c30"},
-    {file = "psycopg_binary-3.1.18-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:9e24e7b6a68a51cc3b162d0339ae4e1263b253e887987d5c759652f5692b5efe"},
-    {file = "psycopg_binary-3.1.18-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:e252d66276c992319ed6cd69a3ffa17538943954075051e992143ccbf6dc3d3e"},
-    {file = "psycopg_binary-3.1.18-cp38-cp38-win_amd64.whl", hash = "sha256:5d6e860edf877d4413e4a807e837d55e3a7c7df701e9d6943c06e460fa6c058f"},
-    {file = "psycopg_binary-3.1.18-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:eea5f14933177ffe5c40b200f04f814258cc14b14a71024ad109f308e8bad414"},
-    {file = "psycopg_binary-3.1.18-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:824a1bfd0db96cc6bef2d1e52d9e0963f5bf653dd5bc3ab519a38f5e6f21c299"},
-    {file = "psycopg_binary-3.1.18-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a87e9eeb80ce8ec8c2783f29bce9a50bbcd2e2342a340f159c3326bf4697afa1"},
-    {file = "psycopg_binary-3.1.18-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:91074f78a9f890af5f2c786691575b6b93a4967ad6b8c5a90101f7b8c1a91d9c"},
-    {file = "psycopg_binary-3.1.18-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e05f6825f8db4428782135e6986fec79b139210398f3710ed4aa6ef41473c008"},
-    {file = "psycopg_binary-3.1.18-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0f68ac2364a50d4cf9bb803b4341e83678668f1881a253e1224574921c69868c"},
-    {file = "psycopg_binary-3.1.18-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:7ac1785d67241d5074f8086705fa68e046becea27964267ab3abd392481d7773"},
-    {file = "psycopg_binary-3.1.18-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:cd2a9f7f0d4dacc5b9ce7f0e767ae6cc64153264151f50698898c42cabffec0c"},
-    {file = "psycopg_binary-3.1.18-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:3e4b0bb91da6f2238dbd4fbb4afc40dfb4f045bb611b92fce4d381b26413c686"},
-    {file = "psycopg_binary-3.1.18-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:74e498586b72fb819ca8ea82107747d0cb6e00ae685ea6d1ab3f929318a8ce2d"},
-    {file = "psycopg_binary-3.1.18-cp39-cp39-win_amd64.whl", hash = "sha256:d4422af5232699f14b7266a754da49dc9bcd45eba244cf3812307934cd5d6679"},
+    {file = "psycopg_binary-3.1.19-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:7204818f05151dd08f8f851defb01972ec9d2cc925608eb0de232563f203f354"},
+    {file = "psycopg_binary-3.1.19-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6d4e67fd86758dbeac85641419a54f84d74495a8683b58ad5dfad08b7fc37a8f"},
+    {file = "psycopg_binary-3.1.19-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e12173e34b176e93ad2da913de30f774d5119c2d4d4640c6858d2d77dfa6c9bf"},
+    {file = "psycopg_binary-3.1.19-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:052f5193304066318853b4b2e248f523c8f52b371fc4e95d4ef63baee3f30955"},
+    {file = "psycopg_binary-3.1.19-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:29008f3f8977f600b8a7fb07c2e041b01645b08121760609cc45e861a0364dc9"},
+    {file = "psycopg_binary-3.1.19-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7c6a9a651a08d876303ed059c9553df18b3c13c3406584a70a8f37f1a1fe2709"},
+    {file = "psycopg_binary-3.1.19-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:91a645e6468c4f064b7f4f3b81074bdd68fe5aa2b8c5107de15dcd85ba6141be"},
+    {file = "psycopg_binary-3.1.19-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:5c6956808fd5cf0576de5a602243af8e04594b25b9a28675feddc71c5526410a"},
+    {file = "psycopg_binary-3.1.19-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:1622ca27d5a7a98f7d8f35e8b146dc7efda4a4b6241d2edf7e076bd6bcecbeb4"},
+    {file = "psycopg_binary-3.1.19-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:a100482950a55228f648bd382bb71bfaff520002f29845274fccbbf02e28bd52"},
+    {file = "psycopg_binary-3.1.19-cp310-cp310-win_amd64.whl", hash = "sha256:955ca8905c0251fc4af7ce0a20999e824a25652f53a558ab548b60969f1f368e"},
+    {file = "psycopg_binary-3.1.19-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:1cf49e91dcf699b8a449944ed898ef1466b39b92720613838791a551bc8f587a"},
+    {file = "psycopg_binary-3.1.19-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:964c307e400c5f33fa762ba1e19853e048814fcfbd9679cc923431adb7a2ead2"},
+    {file = "psycopg_binary-3.1.19-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3433924e1b14074798331dc2bfae2af452ed7888067f2fc145835704d8981b15"},
+    {file = "psycopg_binary-3.1.19-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:00879d4c6be4b3afc510073f48a5e960f797200e261ab3d9bd9b7746a08c669d"},
+    {file = "psycopg_binary-3.1.19-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:34a6997c80f86d3dd80a4f078bb3b200079c47eeda4fd409d8899b883c90d2ac"},
+    {file = "psycopg_binary-3.1.19-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0106e42b481677c41caa69474fe530f786dcef88b11b70000f0e45a03534bc8f"},
+    {file = "psycopg_binary-3.1.19-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:81efe09ba27533e35709905c3061db4dc9fb814f637360578d065e2061fbb116"},
+    {file = "psycopg_binary-3.1.19-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:d312d6dddc18d9c164e1893706269c293cba1923118349d375962b1188dafb01"},
+    {file = "psycopg_binary-3.1.19-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:bfd2c734da9950f7afaad5f132088e0e1478f32f042881fca6651bb0c8d14206"},
+    {file = "psycopg_binary-3.1.19-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:8a732610a5a6b4f06dadcf9288688a8ff202fd556d971436a123b7adb85596e2"},
+    {file = "psycopg_binary-3.1.19-cp311-cp311-win_amd64.whl", hash = "sha256:321814a9a3ad785855a821b842aba08ca1b7de7dfb2979a2f0492dca9ec4ae70"},
+    {file = "psycopg_binary-3.1.19-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:4aa0ca13bb8a725bb6d12c13999217fd5bc8b86a12589f28a74b93e076fbb959"},
+    {file = "psycopg_binary-3.1.19-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:469424e354ebcec949aa6aa30e5a9edc352a899d9a68ad7a48f97df83cc914cf"},
+    {file = "psycopg_binary-3.1.19-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b04f5349313529ae1f1c42fe1aa0443faaf50fdf12d13866c2cc49683bfa53d0"},
+    {file = "psycopg_binary-3.1.19-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:959feabddc7fffac89b054d6f23f3b3c62d7d3c90cd414a02e3747495597f150"},
+    {file = "psycopg_binary-3.1.19-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e9da624a6ca4bc5f7fa1f03f8485446b5b81d5787b6beea2b4f8d9dbef878ad7"},
+    {file = "psycopg_binary-3.1.19-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c1823221a6b96e38b15686170d4fc5b36073efcb87cce7d3da660440b50077f6"},
+    {file = "psycopg_binary-3.1.19-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:866db42f986298f0cf15d805225eb8df2228bf19f7997d7f1cb5f388cbfc6a0f"},
+    {file = "psycopg_binary-3.1.19-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:738c34657305b5973af6dbb6711b07b179dfdd21196d60039ca30a74bafe9648"},
+    {file = "psycopg_binary-3.1.19-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:fb9758473200384a04374d0e0cac6f451218ff6945a024f65a1526802c34e56e"},
+    {file = "psycopg_binary-3.1.19-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:0e991632777e217953ac960726158987da684086dd813ac85038c595e7382c91"},
+    {file = "psycopg_binary-3.1.19-cp312-cp312-win_amd64.whl", hash = "sha256:1d87484dd42c8783c44a30400949efb3d81ef2487eaa7d64d1c54df90cf8b97a"},
+    {file = "psycopg_binary-3.1.19-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:d1d1723d7449c12bb61aca7eb6e0c6ab2863cd8dc0019273cc4d4a1982f84bdb"},
+    {file = "psycopg_binary-3.1.19-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e538a8671005641fa195eab962f85cf0504defbd3b548c4c8fc27102a59f687b"},
+    {file = "psycopg_binary-3.1.19-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c50592bc8517092f40979e4a5d934f96a1737a77724bb1d121eb78b614b30fc8"},
+    {file = "psycopg_binary-3.1.19-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:95f16ae82bc242b76cd3c3e5156441e2bd85ff9ec3a9869d750aad443e46073c"},
+    {file = "psycopg_binary-3.1.19-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aebd1e98e865e9a28ce0cb2c25b7dfd752f0d1f0a423165b55cd32a431dcc0f4"},
+    {file = "psycopg_binary-3.1.19-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:49cd7af7d49e438a39593d1dd8cab106a1912536c2b78a4d814ebdff2786094e"},
+    {file = "psycopg_binary-3.1.19-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:affebd61aa3b7a8880fd4ac3ee94722940125ff83ff485e1a7c76be9adaabb38"},
+    {file = "psycopg_binary-3.1.19-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:d1bac282f140fa092f2bbb6c36ed82270b4a21a6fc55d4b16748ed9f55e50fdb"},
+    {file = "psycopg_binary-3.1.19-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:1285aa54449e362b1d30d92b2dc042ad3ee80f479cc4e323448d0a0a8a1641fa"},
+    {file = "psycopg_binary-3.1.19-cp37-cp37m-win_amd64.whl", hash = "sha256:6cff31af8155dc9ee364098a328bab688c887c732c66b8d027e5b03818ca0287"},
+    {file = "psycopg_binary-3.1.19-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:d9b689c4a17dd3130791dcbb8c30dbf05602f7c2d56c792e193fb49adc7bf5f8"},
+    {file = "psycopg_binary-3.1.19-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:017518bd2de4851adc826a224fb105411e148ad845e11355edd6786ba3dfedf5"},
+    {file = "psycopg_binary-3.1.19-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c35fd811f339a3cbe7f9b54b2d9a5e592e57426c6cc1051632a62c59c4810208"},
+    {file = "psycopg_binary-3.1.19-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:38ed45ec9673709bfa5bc17f140e71dd4cca56d4e58ef7fd50d5a5043a4f55c6"},
+    {file = "psycopg_binary-3.1.19-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:433f1c256108f9e26f480a8cd6ddb0fb37dbc87d7f5a97e4540a9da9b881f23f"},
+    {file = "psycopg_binary-3.1.19-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:ed61e43bf5dc8d0936daf03a19fef3168d64191dbe66483f7ad08c4cea0bc36b"},
+    {file = "psycopg_binary-3.1.19-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:4ae8109ff9fdf1fa0cb87ab6645298693fdd2666a7f5f85660df88f6965e0bb7"},
+    {file = "psycopg_binary-3.1.19-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:a53809ee02e3952fae7977c19b30fd828bd117b8f5edf17a3a94212feb57faaf"},
+    {file = "psycopg_binary-3.1.19-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:9d39d5ffc151fb33bcd55b99b0e8957299c0b1b3e5a1a5f4399c1287ef0051a9"},
+    {file = "psycopg_binary-3.1.19-cp38-cp38-win_amd64.whl", hash = "sha256:e14bc8250000921fcccd53722f86b3b3d1b57db901e206e49e2ab2afc5919c2d"},
+    {file = "psycopg_binary-3.1.19-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:cd88c5cea4efe614d5004fb5f5dcdea3d7d59422be796689e779e03363102d24"},
+    {file = "psycopg_binary-3.1.19-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:621a814e60825162d38760c66351b4df679fd422c848b7c2f86ad399bff27145"},
+    {file = "psycopg_binary-3.1.19-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:46e50c05952b59a214e27d3606f6d510aaa429daed898e16b8a37bfbacc81acc"},
+    {file = "psycopg_binary-3.1.19-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:03354a9db667c27946e70162cb0042c3929154167f3678a30d23cebfe0ad55b5"},
+    {file = "psycopg_binary-3.1.19-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:703c2f3b79037581afec7baa2bdbcb0a1787f1758744a7662099b0eca2d721cb"},
+    {file = "psycopg_binary-3.1.19-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:6469ebd9e93327e9f5f36dcf8692fb1e7aeaf70087c1c15d4f2c020e0be3a891"},
+    {file = "psycopg_binary-3.1.19-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:85bca9765c04b6be90cb46e7566ffe0faa2d7480ff5c8d5e055ac427f039fd24"},
+    {file = "psycopg_binary-3.1.19-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:a836610d5c75e9cff98b9fdb3559c007c785c09eaa84a60d5d10ef6f85f671e8"},
+    {file = "psycopg_binary-3.1.19-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:ef8de7a1d9fb3518cc6b58e3c80b75a824209ad52b90c542686c912db8553dad"},
+    {file = "psycopg_binary-3.1.19-cp39-cp39-win_amd64.whl", hash = "sha256:76fcd33342f38e35cd6b5408f1bc117d55ab8b16e5019d99b6d3ce0356c51717"},
 ]
 
 [[package]]
@@ -5784,57 +6692,10 @@ version = "0.7.0"
 description = "Run a subprocess in a pseudo terminal"
 optional = false
 python-versions = "*"
-files = [
-    {file = "ptyprocess-0.7.0-py2.py3-none-any.whl", hash = "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35"},
-    {file = "ptyprocess-0.7.0.tar.gz", hash = "sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220"},
-]
-
-[[package]]
-name = "pulsar-client"
-version = "3.5.0"
-description = "Apache Pulsar Python client library"
-optional = false
-python-versions = "*"
-files = [
-    {file = "pulsar_client-3.5.0-cp310-cp310-macosx_10_15_universal2.whl", hash = "sha256:c18552edb2f785de85280fe624bc507467152bff810fc81d7660fa2dfa861f38"},
-    {file = "pulsar_client-3.5.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:18d438e456c146f01be41ef146f649dedc8f7bc714d9eaef94cff2e34099812b"},
-    {file = "pulsar_client-3.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:18a26a0719841103c7a89eb1492c4a8fedf89adaa386375baecbb4fa2707e88f"},
-    {file = "pulsar_client-3.5.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:ab0e1605dc5f44a126163fd06cd0a768494ad05123f6e0de89a2c71d6e2d2319"},
-    {file = "pulsar_client-3.5.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:cdef720891b97656fdce3bf5913ea7729b2156b84ba64314f432c1e72c6117fa"},
-    {file = "pulsar_client-3.5.0-cp310-cp310-win_amd64.whl", hash = "sha256:a42544e38773191fe550644a90e8050579476bb2dcf17ac69a4aed62a6cb70e7"},
-    {file = "pulsar_client-3.5.0-cp311-cp311-macosx_10_15_universal2.whl", hash = "sha256:fd94432ea5d398ea78f8f2e09a217ec5058d26330c137a22690478c031e116da"},
-    {file = "pulsar_client-3.5.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d6252ae462e07ece4071213fdd9c76eab82ca522a749f2dc678037d4cbacd40b"},
-    {file = "pulsar_client-3.5.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:03b4d440b2d74323784328b082872ee2f206c440b5d224d7941eb3c083ec06c6"},
-    {file = "pulsar_client-3.5.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:f60af840b8d64a2fac5a0c1ce6ae0ddffec5f42267c6ded2c5e74bad8345f2a1"},
-    {file = "pulsar_client-3.5.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:2277a447c3b7f6571cb1eb9fc5c25da3fdd43d0b2fb91cf52054adfadc7d6842"},
-    {file = "pulsar_client-3.5.0-cp311-cp311-win_amd64.whl", hash = "sha256:f20f3e9dd50db2a37059abccad42078b7a4754b8bc1d3ae6502e71c1ad2209f0"},
-    {file = "pulsar_client-3.5.0-cp312-cp312-macosx_10_15_universal2.whl", hash = "sha256:d61f663d85308e12f44033ba95af88730f581a7e8da44f7a5c080a3aaea4878d"},
-    {file = "pulsar_client-3.5.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2a1ba0be25b6f747bcb28102b7d906ec1de48dc9f1a2d9eacdcc6f44ab2c9e17"},
-    {file = "pulsar_client-3.5.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a181e3e60ac39df72ccb3c415d7aeac61ad0286497a6e02739a560d5af28393a"},
-    {file = "pulsar_client-3.5.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:3c72895ff7f51347e4f78b0375b2213fa70dd4790bbb78177b4002846f1fd290"},
-    {file = "pulsar_client-3.5.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:547dba1b185a17eba915e51d0a3aca27c80747b6187e5cd7a71a3ca33921decc"},
-    {file = "pulsar_client-3.5.0-cp312-cp312-win_amd64.whl", hash = "sha256:443b786eed96bc86d2297a6a42e79f39d1abf217ec603e0bd303f3488c0234af"},
-    {file = "pulsar_client-3.5.0-cp38-cp38-macosx_10_15_universal2.whl", hash = "sha256:15b58f5d759dd6166db8a2d90ed05a38063b05cda76c36d190d86ef5c9249397"},
-    {file = "pulsar_client-3.5.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:af34bfe813dddf772a8a298117fa0a036ee963595d8bc8f00d969a0329ae6ed9"},
-    {file = "pulsar_client-3.5.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:27a0fec1dd74e1367d3742ce16679c1807994df60f5e666f440cf39323938fad"},
-    {file = "pulsar_client-3.5.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:dbcd26ef9c03f96fb9cd91baec3bbd3c4b997834eb3556670d31f41cc25b5f64"},
-    {file = "pulsar_client-3.5.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:afea1d0b6e793fd56e56463145751ff3aa79fdcd5b26e90d0da802a1bbabe07e"},
-    {file = "pulsar_client-3.5.0-cp38-cp38-win_amd64.whl", hash = "sha256:da1ab2fb1bef64b966e9403a0a186ebc90368d99e054ce2cae5b1128478f4ef4"},
-    {file = "pulsar_client-3.5.0-cp39-cp39-macosx_10_15_universal2.whl", hash = "sha256:9ad5dcc0eb8d2a7c0fb8e1fa146a0c6d4bdaf934f1169080b2c64b2f0573e086"},
-    {file = "pulsar_client-3.5.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e5870c6805b1a57962ed908d1173e97e13470415998393925c86a43694420389"},
-    {file = "pulsar_client-3.5.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:29cb5fedb969895b78301dc00a979133e69940812b8332e4de948bb0ad3db7cb"},
-    {file = "pulsar_client-3.5.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:e53c74bfa59b20c66adea95023169060f5048dd8d843e6ef9cd3b8ee2d23e93b"},
-    {file = "pulsar_client-3.5.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:99dbadb13967f1add57010971ed36b5a77d24afcdaea01960d0e55e56cf4ba6f"},
-    {file = "pulsar_client-3.5.0-cp39-cp39-win_amd64.whl", hash = "sha256:058887661d438796f42307dcc8054c84dea88a37683dae36498b95d7e1c39b37"},
-]
-
-[package.dependencies]
-certifi = "*"
-
-[package.extras]
-all = ["apache-bookkeeper-client (>=4.16.1)", "fastavro (>=1.9.2)", "grpcio (>=1.60.0)", "prometheus-client", "protobuf (>=3.6.1,<=3.20.3)", "ratelimit"]
-avro = ["fastavro (>=1.9.2)"]
-functions = ["apache-bookkeeper-client (>=4.16.1)", "grpcio (>=1.60.0)", "prometheus-client", "protobuf (>=3.6.1,<=3.20.3)", "ratelimit"]
+files = [
+    {file = "ptyprocess-0.7.0-py2.py3-none-any.whl", hash = "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35"},
+    {file = "ptyprocess-0.7.0.tar.gz", hash = "sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220"},
+]
 
 [[package]]
 name = "pure-eval"
@@ -5909,6 +6770,17 @@ files = [
 [package.dependencies]
 numpy = ">=1.16.6"
 
+[[package]]
+name = "pyarrow-hotfix"
+version = "0.6"
+description = ""
+optional = false
+python-versions = ">=3.5"
+files = [
+    {file = "pyarrow_hotfix-0.6-py3-none-any.whl", hash = "sha256:dcc9ae2d220dff0083be6a9aa8e0cdee5182ad358d4931fce825c545e5c89178"},
+    {file = "pyarrow_hotfix-0.6.tar.gz", hash = "sha256:79d3e030f7ff890d408a100ac16d6f00b14d44a502d7897cd9fc3e3a534e9945"},
+]
+
 [[package]]
 name = "pyasn1"
 version = "0.6.0"
@@ -5936,13 +6808,13 @@ pyasn1 = ">=0.4.6,<0.7.0"
 
 [[package]]
 name = "pyautogen"
-version = "0.2.27"
+version = "0.2.31"
 description = "Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework"
 optional = false
 python-versions = "<3.13,>=3.8"
 files = [
-    {file = "pyautogen-0.2.27-py3-none-any.whl", hash = "sha256:9eb5c38544a0f79475c43442f9c5af2623165e32a7b9dd24ec141492f603a630"},
-    {file = "pyautogen-0.2.27.tar.gz", hash = "sha256:a8939d14fed1893109738a4c34ce490bfc6d869fd8a4ecb22932b86c81d9a5a5"},
+    {file = "pyautogen-0.2.31-py3-none-any.whl", hash = "sha256:f1268dbbb191756a105815e1f46a6c6786c3059784b04a3831f4c24b9429c8c7"},
+    {file = "pyautogen-0.2.31.tar.gz", hash = "sha256:157a6d2c68f1fe0c8d1e07c6886f97962dc85effd8da4baad7d7804ad284cc76"},
 ]
 
 [package.dependencies]
@@ -5951,26 +6823,31 @@ docker = "*"
 flaml = "*"
 numpy = ">=1.17.0,<2"
 openai = ">=1.3"
+packaging = "*"
 pydantic = ">=1.10,<2.6.0 || >2.6.0,<3"
 python-dotenv = "*"
 termcolor = "*"
 tiktoken = "*"
 
 [package.extras]
-autobuild = ["chromadb", "huggingface-hub", "sentence-transformers"]
+anthropic = ["anthropic (>=0.23.1)"]
+autobuild = ["chromadb", "huggingface-hub", "pysqlite3", "sentence-transformers"]
 blendsearch = ["flaml[blendsearch]"]
 cosmosdb = ["azure-cosmos (>=4.2.0)"]
-gemini = ["google-generativeai (>=0.5,<1)", "pillow", "pydantic"]
+gemini = ["google-auth", "google-cloud-aiplatform", "google-generativeai (>=0.5,<1)", "pillow", "pydantic"]
 graph = ["matplotlib", "networkx"]
 jupyter-executor = ["ipykernel (>=6.29.0)", "jupyter-client (>=8.6.0)", "jupyter-kernel-gateway", "requests", "websocket-client"]
 lmm = ["pillow", "replicate"]
+long-context = ["llmlingua (<0.3)"]
 mathchat = ["pydantic (==1.10.9)", "sympy", "wolframalpha"]
+mistral = ["mistralai (>=0.2.0)"]
 redis = ["redis"]
-retrievechat = ["beautifulsoup4", "chromadb", "ipython", "markdownify", "pypdf", "sentence-transformers"]
-retrievechat-pgvector = ["beautifulsoup4", "chromadb", "ipython", "markdownify", "pgvector (>=0.2.5)", "psycopg (>=3.1.18)", "pypdf", "sentence-transformers"]
-retrievechat-qdrant = ["beautifulsoup4", "chromadb", "ipython", "markdownify", "pypdf", "qdrant-client[fastembed]", "sentence-transformers"]
+retrievechat = ["beautifulsoup4", "chromadb", "ipython", "markdownify", "protobuf (==4.25.3)", "pypdf", "sentence-transformers"]
+retrievechat-pgvector = ["beautifulsoup4", "chromadb", "ipython", "markdownify", "pgvector (>=0.2.5)", "protobuf (==4.25.3)", "psycopg (>=3.1.18)", "pypdf", "sentence-transformers"]
+retrievechat-qdrant = ["beautifulsoup4", "chromadb", "ipython", "markdownify", "protobuf (==4.25.3)", "pypdf", "qdrant-client[fastembed] (<1.9.2)", "sentence-transformers"]
 teachable = ["chromadb"]
 test = ["ipykernel", "nbconvert", "nbformat", "pandas", "pre-commit", "pytest (>=6.1.1,<8)", "pytest-asyncio", "pytest-cov (>=5)"]
+together = ["together (>=1.2)"]
 types = ["ipykernel (>=6.29.0)", "jupyter-client (>=8.6.0)", "jupyter-kernel-gateway", "mypy (==1.9.0)", "pytest (>=6.1.1,<8)", "requests", "websocket-client"]
 websockets = ["websockets (>=12.0,<13)"]
 websurfer = ["beautifulsoup4", "markdownify", "pathvalidate", "pdfminer.six"]
@@ -6029,18 +6906,18 @@ files = [
 
 [[package]]
 name = "pydantic"
-version = "2.7.1"
+version = "2.7.4"
 description = "Data validation using Python type hints"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "pydantic-2.7.1-py3-none-any.whl", hash = "sha256:e029badca45266732a9a79898a15ae2e8b14840b1eabbb25844be28f0b33f3d5"},
-    {file = "pydantic-2.7.1.tar.gz", hash = "sha256:e9dbb5eada8abe4d9ae5f46b9939aead650cd2b68f249bb3a8139dbe125803cc"},
+    {file = "pydantic-2.7.4-py3-none-any.whl", hash = "sha256:ee8538d41ccb9c0a9ad3e0e5f07bf15ed8015b481ced539a1759d8cc89ae90d0"},
+    {file = "pydantic-2.7.4.tar.gz", hash = "sha256:0c84efd9548d545f63ac0060c1e4d39bb9b14db8b3c0652338aecc07b5adec52"},
 ]
 
 [package.dependencies]
 annotated-types = ">=0.4.0"
-pydantic-core = "2.18.2"
+pydantic-core = "2.18.4"
 typing-extensions = ">=4.6.1"
 
 [package.extras]
@@ -6048,90 +6925,90 @@ email = ["email-validator (>=2.0.0)"]
 
 [[package]]
 name = "pydantic-core"
-version = "2.18.2"
+version = "2.18.4"
 description = "Core functionality for Pydantic validation and serialization"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "pydantic_core-2.18.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:9e08e867b306f525802df7cd16c44ff5ebbe747ff0ca6cf3fde7f36c05a59a81"},
-    {file = "pydantic_core-2.18.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f0a21cbaa69900cbe1a2e7cad2aa74ac3cf21b10c3efb0fa0b80305274c0e8a2"},
-    {file = "pydantic_core-2.18.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0680b1f1f11fda801397de52c36ce38ef1c1dc841a0927a94f226dea29c3ae3d"},
-    {file = "pydantic_core-2.18.2-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:95b9d5e72481d3780ba3442eac863eae92ae43a5f3adb5b4d0a1de89d42bb250"},
-    {file = "pydantic_core-2.18.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c4fcf5cd9c4b655ad666ca332b9a081112cd7a58a8b5a6ca7a3104bc950f2038"},
-    {file = "pydantic_core-2.18.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9b5155ff768083cb1d62f3e143b49a8a3432e6789a3abee8acd005c3c7af1c74"},
-    {file = "pydantic_core-2.18.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:553ef617b6836fc7e4df130bb851e32fe357ce36336d897fd6646d6058d980af"},
-    {file = "pydantic_core-2.18.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:b89ed9eb7d616ef5714e5590e6cf7f23b02d0d539767d33561e3675d6f9e3857"},
-    {file = "pydantic_core-2.18.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:75f7e9488238e920ab6204399ded280dc4c307d034f3924cd7f90a38b1829563"},
-    {file = "pydantic_core-2.18.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:ef26c9e94a8c04a1b2924149a9cb081836913818e55681722d7f29af88fe7b38"},
-    {file = "pydantic_core-2.18.2-cp310-none-win32.whl", hash = "sha256:182245ff6b0039e82b6bb585ed55a64d7c81c560715d1bad0cbad6dfa07b4027"},
-    {file = "pydantic_core-2.18.2-cp310-none-win_amd64.whl", hash = "sha256:e23ec367a948b6d812301afc1b13f8094ab7b2c280af66ef450efc357d2ae543"},
-    {file = "pydantic_core-2.18.2-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:219da3f096d50a157f33645a1cf31c0ad1fe829a92181dd1311022f986e5fbe3"},
-    {file = "pydantic_core-2.18.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:cc1cfd88a64e012b74e94cd00bbe0f9c6df57049c97f02bb07d39e9c852e19a4"},
-    {file = "pydantic_core-2.18.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:05b7133a6e6aeb8df37d6f413f7705a37ab4031597f64ab56384c94d98fa0e90"},
-    {file = "pydantic_core-2.18.2-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:224c421235f6102e8737032483f43c1a8cfb1d2f45740c44166219599358c2cd"},
-    {file = "pydantic_core-2.18.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b14d82cdb934e99dda6d9d60dc84a24379820176cc4a0d123f88df319ae9c150"},
-    {file = "pydantic_core-2.18.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2728b01246a3bba6de144f9e3115b532ee44bd6cf39795194fb75491824a1413"},
-    {file = "pydantic_core-2.18.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:470b94480bb5ee929f5acba6995251ada5e059a5ef3e0dfc63cca287283ebfa6"},
-    {file = "pydantic_core-2.18.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:997abc4df705d1295a42f95b4eec4950a37ad8ae46d913caeee117b6b198811c"},
-    {file = "pydantic_core-2.18.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:75250dbc5290e3f1a0f4618db35e51a165186f9034eff158f3d490b3fed9f8a0"},
-    {file = "pydantic_core-2.18.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:4456f2dca97c425231d7315737d45239b2b51a50dc2b6f0c2bb181fce6207664"},
-    {file = "pydantic_core-2.18.2-cp311-none-win32.whl", hash = "sha256:269322dcc3d8bdb69f054681edff86276b2ff972447863cf34c8b860f5188e2e"},
-    {file = "pydantic_core-2.18.2-cp311-none-win_amd64.whl", hash = "sha256:800d60565aec896f25bc3cfa56d2277d52d5182af08162f7954f938c06dc4ee3"},
-    {file = "pydantic_core-2.18.2-cp311-none-win_arm64.whl", hash = "sha256:1404c69d6a676245199767ba4f633cce5f4ad4181f9d0ccb0577e1f66cf4c46d"},
-    {file = "pydantic_core-2.18.2-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:fb2bd7be70c0fe4dfd32c951bc813d9fe6ebcbfdd15a07527796c8204bd36242"},
-    {file = "pydantic_core-2.18.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6132dd3bd52838acddca05a72aafb6eab6536aa145e923bb50f45e78b7251043"},
-    {file = "pydantic_core-2.18.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d7d904828195733c183d20a54230c0df0eb46ec746ea1a666730787353e87182"},
-    {file = "pydantic_core-2.18.2-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c9bd70772c720142be1020eac55f8143a34ec9f82d75a8e7a07852023e46617f"},
-    {file = "pydantic_core-2.18.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2b8ed04b3582771764538f7ee7001b02e1170223cf9b75dff0bc698fadb00cf3"},
-    {file = "pydantic_core-2.18.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e6dac87ddb34aaec85f873d737e9d06a3555a1cc1a8e0c44b7f8d5daeb89d86f"},
-    {file = "pydantic_core-2.18.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7ca4ae5a27ad7a4ee5170aebce1574b375de390bc01284f87b18d43a3984df72"},
-    {file = "pydantic_core-2.18.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:886eec03591b7cf058467a70a87733b35f44707bd86cf64a615584fd72488b7c"},
-    {file = "pydantic_core-2.18.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:ca7b0c1f1c983e064caa85f3792dd2fe3526b3505378874afa84baf662e12241"},
-    {file = "pydantic_core-2.18.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:4b4356d3538c3649337df4074e81b85f0616b79731fe22dd11b99499b2ebbdf3"},
-    {file = "pydantic_core-2.18.2-cp312-none-win32.whl", hash = "sha256:8b172601454f2d7701121bbec3425dd71efcb787a027edf49724c9cefc14c038"},
-    {file = "pydantic_core-2.18.2-cp312-none-win_amd64.whl", hash = "sha256:b1bd7e47b1558ea872bd16c8502c414f9e90dcf12f1395129d7bb42a09a95438"},
-    {file = "pydantic_core-2.18.2-cp312-none-win_arm64.whl", hash = "sha256:98758d627ff397e752bc339272c14c98199c613f922d4a384ddc07526c86a2ec"},
-    {file = "pydantic_core-2.18.2-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:9fdad8e35f278b2c3eb77cbdc5c0a49dada440657bf738d6905ce106dc1de439"},
-    {file = "pydantic_core-2.18.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:1d90c3265ae107f91a4f279f4d6f6f1d4907ac76c6868b27dc7fb33688cfb347"},
-    {file = "pydantic_core-2.18.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:390193c770399861d8df9670fb0d1874f330c79caaca4642332df7c682bf6b91"},
-    {file = "pydantic_core-2.18.2-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:82d5d4d78e4448683cb467897fe24e2b74bb7b973a541ea1dcfec1d3cbce39fb"},
-    {file = "pydantic_core-2.18.2-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4774f3184d2ef3e14e8693194f661dea5a4d6ca4e3dc8e39786d33a94865cefd"},
-    {file = "pydantic_core-2.18.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d4d938ec0adf5167cb335acb25a4ee69a8107e4984f8fbd2e897021d9e4ca21b"},
-    {file = "pydantic_core-2.18.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e0e8b1be28239fc64a88a8189d1df7fad8be8c1ae47fcc33e43d4be15f99cc70"},
-    {file = "pydantic_core-2.18.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:868649da93e5a3d5eacc2b5b3b9235c98ccdbfd443832f31e075f54419e1b96b"},
-    {file = "pydantic_core-2.18.2-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:78363590ef93d5d226ba21a90a03ea89a20738ee5b7da83d771d283fd8a56761"},
-    {file = "pydantic_core-2.18.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:852e966fbd035a6468fc0a3496589b45e2208ec7ca95c26470a54daed82a0788"},
-    {file = "pydantic_core-2.18.2-cp38-none-win32.whl", hash = "sha256:6a46e22a707e7ad4484ac9ee9f290f9d501df45954184e23fc29408dfad61350"},
-    {file = "pydantic_core-2.18.2-cp38-none-win_amd64.whl", hash = "sha256:d91cb5ea8b11607cc757675051f61b3d93f15eca3cefb3e6c704a5d6e8440f4e"},
-    {file = "pydantic_core-2.18.2-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:ae0a8a797a5e56c053610fa7be147993fe50960fa43609ff2a9552b0e07013e8"},
-    {file = "pydantic_core-2.18.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:042473b6280246b1dbf530559246f6842b56119c2926d1e52b631bdc46075f2a"},
-    {file = "pydantic_core-2.18.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1a388a77e629b9ec814c1b1e6b3b595fe521d2cdc625fcca26fbc2d44c816804"},
-    {file = "pydantic_core-2.18.2-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:e25add29b8f3b233ae90ccef2d902d0ae0432eb0d45370fe315d1a5cf231004b"},
-    {file = "pydantic_core-2.18.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f459a5ce8434614dfd39bbebf1041952ae01da6bed9855008cb33b875cb024c0"},
-    {file = "pydantic_core-2.18.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:eff2de745698eb46eeb51193a9f41d67d834d50e424aef27df2fcdee1b153845"},
-    {file = "pydantic_core-2.18.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a8309f67285bdfe65c372ea3722b7a5642680f3dba538566340a9d36e920b5f0"},
-    {file = "pydantic_core-2.18.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f93a8a2e3938ff656a7c1bc57193b1319960ac015b6e87d76c76bf14fe0244b4"},
-    {file = "pydantic_core-2.18.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:22057013c8c1e272eb8d0eebc796701167d8377441ec894a8fed1af64a0bf399"},
-    {file = "pydantic_core-2.18.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:cfeecd1ac6cc1fb2692c3d5110781c965aabd4ec5d32799773ca7b1456ac636b"},
-    {file = "pydantic_core-2.18.2-cp39-none-win32.whl", hash = "sha256:0d69b4c2f6bb3e130dba60d34c0845ba31b69babdd3f78f7c0c8fae5021a253e"},
-    {file = "pydantic_core-2.18.2-cp39-none-win_amd64.whl", hash = "sha256:d9319e499827271b09b4e411905b24a426b8fb69464dfa1696258f53a3334641"},
-    {file = "pydantic_core-2.18.2-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:a1874c6dd4113308bd0eb568418e6114b252afe44319ead2b4081e9b9521fe75"},
-    {file = "pydantic_core-2.18.2-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:ccdd111c03bfd3666bd2472b674c6899550e09e9f298954cfc896ab92b5b0e6d"},
-    {file = "pydantic_core-2.18.2-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e18609ceaa6eed63753037fc06ebb16041d17d28199ae5aba0052c51449650a9"},
-    {file = "pydantic_core-2.18.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6e5c584d357c4e2baf0ff7baf44f4994be121e16a2c88918a5817331fc7599d7"},
-    {file = "pydantic_core-2.18.2-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:43f0f463cf89ace478de71a318b1b4f05ebc456a9b9300d027b4b57c1a2064fb"},
-    {file = "pydantic_core-2.18.2-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:e1b395e58b10b73b07b7cf740d728dd4ff9365ac46c18751bf8b3d8cca8f625a"},
-    {file = "pydantic_core-2.18.2-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:0098300eebb1c837271d3d1a2cd2911e7c11b396eac9661655ee524a7f10587b"},
-    {file = "pydantic_core-2.18.2-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:36789b70d613fbac0a25bb07ab3d9dba4d2e38af609c020cf4d888d165ee0bf3"},
-    {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:3f9a801e7c8f1ef8718da265bba008fa121243dfe37c1cea17840b0944dfd72c"},
-    {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:3a6515ebc6e69d85502b4951d89131ca4e036078ea35533bb76327f8424531ce"},
-    {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:20aca1e2298c56ececfd8ed159ae4dde2df0781988c97ef77d5c16ff4bd5b400"},
-    {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:223ee893d77a310a0391dca6df00f70bbc2f36a71a895cecd9a0e762dc37b349"},
-    {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:2334ce8c673ee93a1d6a65bd90327588387ba073c17e61bf19b4fd97d688d63c"},
-    {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:cbca948f2d14b09d20268cda7b0367723d79063f26c4ffc523af9042cad95592"},
-    {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:b3ef08e20ec49e02d5c6717a91bb5af9b20f1805583cb0adfe9ba2c6b505b5ae"},
-    {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:c6fdc8627910eed0c01aed6a390a252fe3ea6d472ee70fdde56273f198938374"},
-    {file = "pydantic_core-2.18.2.tar.gz", hash = "sha256:2e29d20810dfc3043ee13ac7d9e25105799817683348823f305ab3f349b9386e"},
+    {file = "pydantic_core-2.18.4-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:f76d0ad001edd426b92233d45c746fd08f467d56100fd8f30e9ace4b005266e4"},
+    {file = "pydantic_core-2.18.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:59ff3e89f4eaf14050c8022011862df275b552caef8082e37b542b066ce1ff26"},
+    {file = "pydantic_core-2.18.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a55b5b16c839df1070bc113c1f7f94a0af4433fcfa1b41799ce7606e5c79ce0a"},
+    {file = "pydantic_core-2.18.4-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:4d0dcc59664fcb8974b356fe0a18a672d6d7cf9f54746c05f43275fc48636851"},
+    {file = "pydantic_core-2.18.4-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8951eee36c57cd128f779e641e21eb40bc5073eb28b2d23f33eb0ef14ffb3f5d"},
+    {file = "pydantic_core-2.18.4-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4701b19f7e3a06ea655513f7938de6f108123bf7c86bbebb1196eb9bd35cf724"},
+    {file = "pydantic_core-2.18.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e00a3f196329e08e43d99b79b286d60ce46bed10f2280d25a1718399457e06be"},
+    {file = "pydantic_core-2.18.4-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:97736815b9cc893b2b7f663628e63f436018b75f44854c8027040e05230eeddb"},
+    {file = "pydantic_core-2.18.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:6891a2ae0e8692679c07728819b6e2b822fb30ca7445f67bbf6509b25a96332c"},
+    {file = "pydantic_core-2.18.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:bc4ff9805858bd54d1a20efff925ccd89c9d2e7cf4986144b30802bf78091c3e"},
+    {file = "pydantic_core-2.18.4-cp310-none-win32.whl", hash = "sha256:1b4de2e51bbcb61fdebd0ab86ef28062704f62c82bbf4addc4e37fa4b00b7cbc"},
+    {file = "pydantic_core-2.18.4-cp310-none-win_amd64.whl", hash = "sha256:6a750aec7bf431517a9fd78cb93c97b9b0c496090fee84a47a0d23668976b4b0"},
+    {file = "pydantic_core-2.18.4-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:942ba11e7dfb66dc70f9ae66b33452f51ac7bb90676da39a7345e99ffb55402d"},
+    {file = "pydantic_core-2.18.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:b2ebef0e0b4454320274f5e83a41844c63438fdc874ea40a8b5b4ecb7693f1c4"},
+    {file = "pydantic_core-2.18.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a642295cd0c8df1b86fc3dced1d067874c353a188dc8e0f744626d49e9aa51c4"},
+    {file = "pydantic_core-2.18.4-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5f09baa656c904807e832cf9cce799c6460c450c4ad80803517032da0cd062e2"},
+    {file = "pydantic_core-2.18.4-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:98906207f29bc2c459ff64fa007afd10a8c8ac080f7e4d5beff4c97086a3dabd"},
+    {file = "pydantic_core-2.18.4-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:19894b95aacfa98e7cb093cd7881a0c76f55731efad31073db4521e2b6ff5b7d"},
+    {file = "pydantic_core-2.18.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0fbbdc827fe5e42e4d196c746b890b3d72876bdbf160b0eafe9f0334525119c8"},
+    {file = "pydantic_core-2.18.4-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f85d05aa0918283cf29a30b547b4df2fbb56b45b135f9e35b6807cb28bc47951"},
+    {file = "pydantic_core-2.18.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:e85637bc8fe81ddb73fda9e56bab24560bdddfa98aa64f87aaa4e4b6730c23d2"},
+    {file = "pydantic_core-2.18.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:2f5966897e5461f818e136b8451d0551a2e77259eb0f73a837027b47dc95dab9"},
+    {file = "pydantic_core-2.18.4-cp311-none-win32.whl", hash = "sha256:44c7486a4228413c317952e9d89598bcdfb06399735e49e0f8df643e1ccd0558"},
+    {file = "pydantic_core-2.18.4-cp311-none-win_amd64.whl", hash = "sha256:8a7164fe2005d03c64fd3b85649891cd4953a8de53107940bf272500ba8a788b"},
+    {file = "pydantic_core-2.18.4-cp311-none-win_arm64.whl", hash = "sha256:4e99bc050fe65c450344421017f98298a97cefc18c53bb2f7b3531eb39bc7805"},
+    {file = "pydantic_core-2.18.4-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:6f5c4d41b2771c730ea1c34e458e781b18cc668d194958e0112455fff4e402b2"},
+    {file = "pydantic_core-2.18.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:2fdf2156aa3d017fddf8aea5adfba9f777db1d6022d392b682d2a8329e087cef"},
+    {file = "pydantic_core-2.18.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4748321b5078216070b151d5271ef3e7cc905ab170bbfd27d5c83ee3ec436695"},
+    {file = "pydantic_core-2.18.4-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:847a35c4d58721c5dc3dba599878ebbdfd96784f3fb8bb2c356e123bdcd73f34"},
+    {file = "pydantic_core-2.18.4-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3c40d4eaad41f78e3bbda31b89edc46a3f3dc6e171bf0ecf097ff7a0ffff7cb1"},
+    {file = "pydantic_core-2.18.4-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:21a5e440dbe315ab9825fcd459b8814bb92b27c974cbc23c3e8baa2b76890077"},
+    {file = "pydantic_core-2.18.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:01dd777215e2aa86dfd664daed5957704b769e726626393438f9c87690ce78c3"},
+    {file = "pydantic_core-2.18.4-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:4b06beb3b3f1479d32befd1f3079cc47b34fa2da62457cdf6c963393340b56e9"},
+    {file = "pydantic_core-2.18.4-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:564d7922e4b13a16b98772441879fcdcbe82ff50daa622d681dd682175ea918c"},
+    {file = "pydantic_core-2.18.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:0eb2a4f660fcd8e2b1c90ad566db2b98d7f3f4717c64fe0a83e0adb39766d5b8"},
+    {file = "pydantic_core-2.18.4-cp312-none-win32.whl", hash = "sha256:8b8bab4c97248095ae0c4455b5a1cd1cdd96e4e4769306ab19dda135ea4cdb07"},
+    {file = "pydantic_core-2.18.4-cp312-none-win_amd64.whl", hash = "sha256:14601cdb733d741b8958224030e2bfe21a4a881fb3dd6fbb21f071cabd48fa0a"},
+    {file = "pydantic_core-2.18.4-cp312-none-win_arm64.whl", hash = "sha256:c1322d7dd74713dcc157a2b7898a564ab091ca6c58302d5c7b4c07296e3fd00f"},
+    {file = "pydantic_core-2.18.4-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:823be1deb01793da05ecb0484d6c9e20baebb39bd42b5d72636ae9cf8350dbd2"},
+    {file = "pydantic_core-2.18.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:ebef0dd9bf9b812bf75bda96743f2a6c5734a02092ae7f721c048d156d5fabae"},
+    {file = "pydantic_core-2.18.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ae1d6df168efb88d7d522664693607b80b4080be6750c913eefb77e34c12c71a"},
+    {file = "pydantic_core-2.18.4-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:f9899c94762343f2cc2fc64c13e7cae4c3cc65cdfc87dd810a31654c9b7358cc"},
+    {file = "pydantic_core-2.18.4-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:99457f184ad90235cfe8461c4d70ab7dd2680e28821c29eca00252ba90308c78"},
+    {file = "pydantic_core-2.18.4-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:18f469a3d2a2fdafe99296a87e8a4c37748b5080a26b806a707f25a902c040a8"},
+    {file = "pydantic_core-2.18.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b7cdf28938ac6b8b49ae5e92f2735056a7ba99c9b110a474473fd71185c1af5d"},
+    {file = "pydantic_core-2.18.4-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:938cb21650855054dc54dfd9120a851c974f95450f00683399006aa6e8abb057"},
+    {file = "pydantic_core-2.18.4-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:44cd83ab6a51da80fb5adbd9560e26018e2ac7826f9626bc06ca3dc074cd198b"},
+    {file = "pydantic_core-2.18.4-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:972658f4a72d02b8abfa2581d92d59f59897d2e9f7e708fdabe922f9087773af"},
+    {file = "pydantic_core-2.18.4-cp38-none-win32.whl", hash = "sha256:1d886dc848e60cb7666f771e406acae54ab279b9f1e4143babc9c2258213daa2"},
+    {file = "pydantic_core-2.18.4-cp38-none-win_amd64.whl", hash = "sha256:bb4462bd43c2460774914b8525f79b00f8f407c945d50881568f294c1d9b4443"},
+    {file = "pydantic_core-2.18.4-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:44a688331d4a4e2129140a8118479443bd6f1905231138971372fcde37e43528"},
+    {file = "pydantic_core-2.18.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a2fdd81edd64342c85ac7cf2753ccae0b79bf2dfa063785503cb85a7d3593223"},
+    {file = "pydantic_core-2.18.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:86110d7e1907ab36691f80b33eb2da87d780f4739ae773e5fc83fb272f88825f"},
+    {file = "pydantic_core-2.18.4-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:46387e38bd641b3ee5ce247563b60c5ca098da9c56c75c157a05eaa0933ed154"},
+    {file = "pydantic_core-2.18.4-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:123c3cec203e3f5ac7b000bd82235f1a3eced8665b63d18be751f115588fea30"},
+    {file = "pydantic_core-2.18.4-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:dc1803ac5c32ec324c5261c7209e8f8ce88e83254c4e1aebdc8b0a39f9ddb443"},
+    {file = "pydantic_core-2.18.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:53db086f9f6ab2b4061958d9c276d1dbe3690e8dd727d6abf2321d6cce37fa94"},
+    {file = "pydantic_core-2.18.4-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:abc267fa9837245cc28ea6929f19fa335f3dc330a35d2e45509b6566dc18be23"},
+    {file = "pydantic_core-2.18.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:a0d829524aaefdebccb869eed855e2d04c21d2d7479b6cada7ace5448416597b"},
+    {file = "pydantic_core-2.18.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:509daade3b8649f80d4e5ff21aa5673e4ebe58590b25fe42fac5f0f52c6f034a"},
+    {file = "pydantic_core-2.18.4-cp39-none-win32.whl", hash = "sha256:ca26a1e73c48cfc54c4a76ff78df3727b9d9f4ccc8dbee4ae3f73306a591676d"},
+    {file = "pydantic_core-2.18.4-cp39-none-win_amd64.whl", hash = "sha256:c67598100338d5d985db1b3d21f3619ef392e185e71b8d52bceacc4a7771ea7e"},
+    {file = "pydantic_core-2.18.4-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:574d92eac874f7f4db0ca653514d823a0d22e2354359d0759e3f6a406db5d55d"},
+    {file = "pydantic_core-2.18.4-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:1f4d26ceb5eb9eed4af91bebeae4b06c3fb28966ca3a8fb765208cf6b51102ab"},
+    {file = "pydantic_core-2.18.4-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:77450e6d20016ec41f43ca4a6c63e9fdde03f0ae3fe90e7c27bdbeaece8b1ed4"},
+    {file = "pydantic_core-2.18.4-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d323a01da91851a4f17bf592faf46149c9169d68430b3146dcba2bb5e5719abc"},
+    {file = "pydantic_core-2.18.4-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:43d447dd2ae072a0065389092a231283f62d960030ecd27565672bd40746c507"},
+    {file = "pydantic_core-2.18.4-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:578e24f761f3b425834f297b9935e1ce2e30f51400964ce4801002435a1b41ef"},
+    {file = "pydantic_core-2.18.4-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:81b5efb2f126454586d0f40c4d834010979cb80785173d1586df845a632e4e6d"},
+    {file = "pydantic_core-2.18.4-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:ab86ce7c8f9bea87b9d12c7f0af71102acbf5ecbc66c17796cff45dae54ef9a5"},
+    {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:90afc12421df2b1b4dcc975f814e21bc1754640d502a2fbcc6d41e77af5ec312"},
+    {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:51991a89639a912c17bef4b45c87bd83593aee0437d8102556af4885811d59f5"},
+    {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:293afe532740370aba8c060882f7d26cfd00c94cae32fd2e212a3a6e3b7bc15e"},
+    {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b48ece5bde2e768197a2d0f6e925f9d7e3e826f0ad2271120f8144a9db18d5c8"},
+    {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:eae237477a873ab46e8dd748e515c72c0c804fb380fbe6c85533c7de51f23a8f"},
+    {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:834b5230b5dfc0c1ec37b2fda433b271cbbc0e507560b5d1588e2cc1148cf1ce"},
+    {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:e858ac0a25074ba4bce653f9b5d0a85b7456eaddadc0ce82d3878c22489fa4ee"},
+    {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:2fd41f6eff4c20778d717af1cc50eca52f5afe7805ee530a4fbd0bae284f16e9"},
+    {file = "pydantic_core-2.18.4.tar.gz", hash = "sha256:ec3beeada09ff865c344ff3bc2f427f5e6c26401cc6113d77e372c3fdac73864"},
 ]
 
 [package.dependencies]
@@ -6139,17 +7016,17 @@ typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
 
 [[package]]
 name = "pydantic-settings"
-version = "2.2.1"
+version = "2.3.3"
 description = "Settings management using Pydantic"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "pydantic_settings-2.2.1-py3-none-any.whl", hash = "sha256:0235391d26db4d2190cb9b31051c4b46882d28a51533f97440867f012d4da091"},
-    {file = "pydantic_settings-2.2.1.tar.gz", hash = "sha256:00b9f6a5e95553590434c0fa01ead0b216c3e10bc54ae02e37f359948643c5ed"},
+    {file = "pydantic_settings-2.3.3-py3-none-any.whl", hash = "sha256:e4ed62ad851670975ec11285141db888fd24947f9440bd4380d7d8788d4965de"},
+    {file = "pydantic_settings-2.3.3.tar.gz", hash = "sha256:87fda838b64b5039b970cd47c3e8a1ee460ce136278ff672980af21516f6e6ce"},
 ]
 
 [package.dependencies]
-pydantic = ">=2.3.0"
+pydantic = ">=2.7.0"
 python-dotenv = ">=0.21.0"
 
 [package.extras]
@@ -6172,71 +7049,71 @@ windows-terminal = ["colorama (>=0.4.6)"]
 
 [[package]]
 name = "pymongo"
-version = "4.7.2"
+version = "4.7.3"
 description = "Python driver for MongoDB <http://www.mongodb.org>"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "pymongo-4.7.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:268d8578c0500012140c5460755ea405cbfe541ef47c81efa9d6744f0f99aeca"},
-    {file = "pymongo-4.7.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:827611beb6c483260d520cfa6a49662d980dfa5368a04296f65fa39e78fccea7"},
-    {file = "pymongo-4.7.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a754e366c404d19ff3f077ddeed64be31e0bb515e04f502bf11987f1baa55a16"},
-    {file = "pymongo-4.7.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c44efab10d9a3db920530f7bcb26af8f408b7273d2f0214081d3891979726328"},
-    {file = "pymongo-4.7.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:35b3f0c7d49724859d4df5f0445818d525824a6cd55074c42573d9b50764df67"},
-    {file = "pymongo-4.7.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1e37faf298a37ffb3e0809e77fbbb0a32b6a2d18a83c59cfc2a7b794ea1136b0"},
-    {file = "pymongo-4.7.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d1bcd58669e56c08f1e72c5758868b5df169fe267501c949ee83c418e9df9155"},
-    {file = "pymongo-4.7.2-cp310-cp310-win32.whl", hash = "sha256:c72d16fede22efe7cdd1f422e8da15760e9498024040429362886f946c10fe95"},
-    {file = "pymongo-4.7.2-cp310-cp310-win_amd64.whl", hash = "sha256:12d1fef77d25640cb78893d07ff7d2fac4c4461d8eec45bd3b9ad491a1115d6e"},
-    {file = "pymongo-4.7.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:fc5af24fcf5fc6f7f40d65446400d45dd12bea933d0299dc9e90c5b22197f1e9"},
-    {file = "pymongo-4.7.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:730778b6f0964b164c187289f906bbc84cb0524df285b7a85aa355bbec43eb21"},
-    {file = "pymongo-4.7.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:47a1a4832ef2f4346dcd1a10a36ade7367ad6905929ddb476459abb4fd1b98cb"},
-    {file = "pymongo-4.7.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e6eab12c6385526d386543d6823b07187fefba028f0da216506e00f0e1855119"},
-    {file = "pymongo-4.7.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:37e9ea81fa59ee9274457ed7d59b6c27f6f2a5fe8e26f184ecf58ea52a019cb8"},
-    {file = "pymongo-4.7.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7e9d9d2c0aae73aa4369bd373ac2ac59f02c46d4e56c4b6d6e250cfe85f76802"},
-    {file = "pymongo-4.7.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:cb6e00a79dff22c9a72212ad82021b54bdb3b85f38a85f4fc466bde581d7d17a"},
-    {file = "pymongo-4.7.2-cp311-cp311-win32.whl", hash = "sha256:02efd1bb3397e24ef2af45923888b41a378ce00cb3a4259c5f4fc3c70497a22f"},
-    {file = "pymongo-4.7.2-cp311-cp311-win_amd64.whl", hash = "sha256:87bb453ac3eb44db95cb6d5a616fbc906c1c00661eec7f55696253a6245beb8a"},
-    {file = "pymongo-4.7.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:12c466e02133b7f8f4ff1045c6b5916215c5f7923bc83fd6e28e290cba18f9f6"},
-    {file = "pymongo-4.7.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:f91073049c43d14e66696970dd708d319b86ee57ef9af359294eee072abaac79"},
-    {file = "pymongo-4.7.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:87032f818bf5052ab742812c715eff896621385c43f8f97cdd37d15b5d394e95"},
-    {file = "pymongo-4.7.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6a87eef394039765679f75c6a47455a4030870341cb76eafc349c5944408c882"},
-    {file = "pymongo-4.7.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d275596f840018858757561840767b39272ac96436fcb54f5cac6d245393fd97"},
-    {file = "pymongo-4.7.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:82102e353be13f1a6769660dd88115b1da382447672ba1c2662a0fbe3df1d861"},
-    {file = "pymongo-4.7.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:194065c9d445017b3c82fb85f89aa2055464a080bde604010dc8eb932a6b3c95"},
-    {file = "pymongo-4.7.2-cp312-cp312-win32.whl", hash = "sha256:db4380d1e69fdad1044a4b8f3bb105200542c49a0dde93452d938ff9db1d6d29"},
-    {file = "pymongo-4.7.2-cp312-cp312-win_amd64.whl", hash = "sha256:fadc6e8db7707c861ebe25b13ad6aca19ea4d2c56bf04a26691f46c23dadf6e4"},
-    {file = "pymongo-4.7.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:2cb77d09bd012cb4b30636e7e38d00b5f9be5eb521c364bde66490c45ee6c4b4"},
-    {file = "pymongo-4.7.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:56bf8b706946952acdea0fe478f8e44f1ed101c4b87f046859e6c3abe6c0a9f4"},
-    {file = "pymongo-4.7.2-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bcf337d1b252405779d9c79978d6ca15eab3cdaa2f44c100a79221bddad97c8a"},
-    {file = "pymongo-4.7.2-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4ffd1519edbe311df73c74ec338de7d294af535b2748191c866ea3a7c484cd15"},
-    {file = "pymongo-4.7.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d4d59776f435564159196d971aa89422ead878174aff8fe18e06d9a0bc6d648c"},
-    {file = "pymongo-4.7.2-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:347c49cf7f0ba49ea87c1a5a1984187ecc5516b7c753f31938bf7b37462824fd"},
-    {file = "pymongo-4.7.2-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:84bc00200c3cbb6c98a2bb964c9e8284b641e4a33cf10c802390552575ee21de"},
-    {file = "pymongo-4.7.2-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:fcaf8c911cb29316a02356f89dbc0e0dfcc6a712ace217b6b543805690d2aefd"},
-    {file = "pymongo-4.7.2-cp37-cp37m-win32.whl", hash = "sha256:b48a5650ee5320d59f6d570bd99a8d5c58ac6f297a4e9090535f6561469ac32e"},
-    {file = "pymongo-4.7.2-cp37-cp37m-win_amd64.whl", hash = "sha256:5239ef7e749f1326ea7564428bf861d5250aa39d7f26d612741b1b1273227062"},
-    {file = "pymongo-4.7.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:d2dcf608d35644e8d276d61bf40a93339d8d66a0e5f3e3f75b2c155a421a1b71"},
-    {file = "pymongo-4.7.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:25eeb2c18ede63891cbd617943dd9e6b9cbccc54f276e0b2e693a0cc40f243c5"},
-    {file = "pymongo-4.7.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9349f0bb17a31371d4cacb64b306e4ca90413a3ad1fffe73ac7cd495570d94b5"},
-    {file = "pymongo-4.7.2-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ffd4d7cb2e6c6e100e2b39606d38a9ffc934e18593dc9bb326196afc7d93ce3d"},
-    {file = "pymongo-4.7.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9a8bd37f5dabc86efceb8d8cbff5969256523d42d08088f098753dba15f3b37a"},
-    {file = "pymongo-4.7.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1c78f156edc59b905c80c9003e022e1a764c54fd40ac4fea05b0764f829790e2"},
-    {file = "pymongo-4.7.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9d892fb91e81cccb83f507cdb2ea0aa026ec3ced7f12a1d60f6a5bf0f20f9c1f"},
-    {file = "pymongo-4.7.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:87832d6076c2c82f42870157414fd876facbb6554d2faf271ffe7f8f30ce7bed"},
-    {file = "pymongo-4.7.2-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:ce1a374ea0e49808e0380ffc64284c0ce0f12bd21042b4bef1af3eb7bdf49054"},
-    {file = "pymongo-4.7.2-cp38-cp38-win32.whl", hash = "sha256:eb0642e5f0dd7e86bb358749cc278e70b911e617f519989d346f742dc9520dfb"},
-    {file = "pymongo-4.7.2-cp38-cp38-win_amd64.whl", hash = "sha256:4bdb5ffe1cd3728c9479671a067ef44dacafc3743741d4dc700c377c4231356f"},
-    {file = "pymongo-4.7.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:743552033c63f0afdb56b9189ab04b5c1dbffd7310cf7156ab98eebcecf24621"},
-    {file = "pymongo-4.7.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:5239776633f7578b81207e5646245415a5a95f6ae5ef5dff8e7c2357e6264bfc"},
-    {file = "pymongo-4.7.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:727ad07952c155cd20045f2ce91143c7dc4fb01a5b4e8012905a89a7da554b0c"},
-    {file = "pymongo-4.7.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9385654f01a90f73827af4db90c290a1519f7d9102ba43286e187b373e9a78e9"},
-    {file = "pymongo-4.7.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:0d833651f1ba938bb7501f13e326b96cfbb7d98867b2d545ca6d69c7664903e0"},
-    {file = "pymongo-4.7.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cf17ea9cea14d59b0527403dd7106362917ced7c4ec936c4ba22bd36c912c8e0"},
-    {file = "pymongo-4.7.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:cecd2df037249d1c74f0af86fb5b766104a5012becac6ff63d85d1de53ba8b98"},
-    {file = "pymongo-4.7.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:65b4c00dedbd333698b83cd2095a639a6f0d7c4e2a617988f6c65fb46711f028"},
-    {file = "pymongo-4.7.2-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:d9b6cbc037108ff1a0a867e7670d8513c37f9bcd9ee3d2464411bfabf70ca002"},
-    {file = "pymongo-4.7.2-cp39-cp39-win32.whl", hash = "sha256:cf28430ec1924af1bffed37b69a812339084697fd3f3e781074a0148e6475803"},
-    {file = "pymongo-4.7.2-cp39-cp39-win_amd64.whl", hash = "sha256:e004527ea42a6b99a8b8d5b42b42762c3bdf80f88fbdb5c3a9d47f3808495b86"},
-    {file = "pymongo-4.7.2.tar.gz", hash = "sha256:9024e1661c6e40acf468177bf90ce924d1bc681d2b244adda3ed7b2f4c4d17d7"},
+    {file = "pymongo-4.7.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e9580b4537b3cc5d412070caabd1dabdf73fdce249793598792bac5782ecf2eb"},
+    {file = "pymongo-4.7.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:517243b2b189c98004570dd8fc0e89b1a48363d5578b3b99212fa2098b2ea4b8"},
+    {file = "pymongo-4.7.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:23b1e9dabd61da1c7deb54d888f952f030e9e35046cebe89309b28223345b3d9"},
+    {file = "pymongo-4.7.3-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:03e0f9901ad66c6fb7da0d303461377524d61dab93a4e4e5af44164c5bb4db76"},
+    {file = "pymongo-4.7.3-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9a870824aa54453aee030bac08c77ebcf2fe8999400f0c2a065bebcbcd46b7f8"},
+    {file = "pymongo-4.7.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dfd7b3d3f4261bddbb74a332d87581bc523353e62bb9da4027cc7340f6fcbebc"},
+    {file = "pymongo-4.7.3-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4d719a643ea6da46d215a3ba51dac805a773b611c641319558d8576cbe31cef8"},
+    {file = "pymongo-4.7.3-cp310-cp310-win32.whl", hash = "sha256:d8b1e06f361f3c66ee694cb44326e1a2e4f93bc9c3a4849ae8547889fca71154"},
+    {file = "pymongo-4.7.3-cp310-cp310-win_amd64.whl", hash = "sha256:c450ab2f9397e2d5caa7fddeb4feb30bf719c47c13ae02c0bbb3b71bf4099c1c"},
+    {file = "pymongo-4.7.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:79cc6459209e885ba097779eaa0fe7f2fa049db39ab43b1731cf8d065a4650e8"},
+    {file = "pymongo-4.7.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:6e2287f1e2cc35e73cd74a4867e398a97962c5578a3991c730ef78d276ca8e46"},
+    {file = "pymongo-4.7.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:413506bd48d8c31ee100645192171e4773550d7cb940b594d5175ac29e329ea1"},
+    {file = "pymongo-4.7.3-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1cc1febf17646d52b7561caa762f60bdfe2cbdf3f3e70772f62eb624269f9c05"},
+    {file = "pymongo-4.7.3-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8dfcf18a49955d50a16c92b39230bd0668ffc9c164ccdfe9d28805182b48fa72"},
+    {file = "pymongo-4.7.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:89872041196c008caddf905eb59d3dc2d292ae6b0282f1138418e76f3abd3ad6"},
+    {file = "pymongo-4.7.3-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d3ed97b89de62ea927b672ad524de0d23f3a6b4a01c8d10e3d224abec973fbc3"},
+    {file = "pymongo-4.7.3-cp311-cp311-win32.whl", hash = "sha256:d2f52b38151e946011d888a8441d3d75715c663fc5b41a7ade595e924e12a90a"},
+    {file = "pymongo-4.7.3-cp311-cp311-win_amd64.whl", hash = "sha256:4a4cc91c28e81c0ce03d3c278e399311b0af44665668a91828aec16527082676"},
+    {file = "pymongo-4.7.3-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:cb30c8a78f5ebaca98640943447b6a0afcb146f40b415757c9047bf4a40d07b4"},
+    {file = "pymongo-4.7.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:9cf2069f5d37c398186453589486ea98bb0312214c439f7d320593b61880dc05"},
+    {file = "pymongo-4.7.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3564f423958fced8a8c90940fd2f543c27adbcd6c7c6ed6715d847053f6200a0"},
+    {file = "pymongo-4.7.3-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:7a8af8a38fa6951fff73e6ff955a6188f829b29fed7c5a1b739a306b4aa56fe8"},
+    {file = "pymongo-4.7.3-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3a0e81c8dba6d825272867d487f18764cfed3c736d71d7d4ff5b79642acbed42"},
+    {file = "pymongo-4.7.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:88fc1d146feabac4385ea8ddb1323e584922922641303c8bf392fe1c36803463"},
+    {file = "pymongo-4.7.3-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4225100b2c5d1f7393d7c5d256ceb8b20766830eecf869f8ae232776347625a6"},
+    {file = "pymongo-4.7.3-cp312-cp312-win32.whl", hash = "sha256:5f3569ed119bf99c0f39ac9962fb5591eff02ca210fe80bb5178d7a1171c1b1e"},
+    {file = "pymongo-4.7.3-cp312-cp312-win_amd64.whl", hash = "sha256:eb383c54c0c8ba27e7712b954fcf2a0905fee82a929d277e2e94ad3a5ba3c7db"},
+    {file = "pymongo-4.7.3-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:a46cffe91912570151617d866a25d07b9539433a32231ca7e7cf809b6ba1745f"},
+    {file = "pymongo-4.7.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4c3cba427dac50944c050c96d958c5e643c33a457acee03bae27c8990c5b9c16"},
+    {file = "pymongo-4.7.3-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a7a5fd893edbeb7fa982f8d44b6dd0186b6cd86c89e23f6ef95049ff72bffe46"},
+    {file = "pymongo-4.7.3-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c168a2fadc8b19071d0a9a4f85fe38f3029fe22163db04b4d5c046041c0b14bd"},
+    {file = "pymongo-4.7.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2c59c2c9e70f63a7f18a31e367898248c39c068c639b0579623776f637e8f482"},
+    {file = "pymongo-4.7.3-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d08165fd82c89d372e82904c3268bd8fe5de44f92a00e97bb1db1785154397d9"},
+    {file = "pymongo-4.7.3-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:397fed21afec4fdaecf72f9c4344b692e489756030a9c6d864393e00c7e80491"},
+    {file = "pymongo-4.7.3-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:f903075f8625e2d228f1b9b9a0cf1385f1c41e93c03fd7536c91780a0fb2e98f"},
+    {file = "pymongo-4.7.3-cp37-cp37m-win32.whl", hash = "sha256:8ed1132f58c38add6b6138b771d0477a3833023c015c455d9a6e26f367f9eb5c"},
+    {file = "pymongo-4.7.3-cp37-cp37m-win_amd64.whl", hash = "sha256:8d00a5d8fc1043a4f641cbb321da766699393f1b6f87c70fae8089d61c9c9c54"},
+    {file = "pymongo-4.7.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:9377b868c38700c7557aac1bc4baae29f47f1d279cc76b60436e547fd643318c"},
+    {file = "pymongo-4.7.3-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:da4a6a7b4f45329bb135aa5096823637bd5f760b44d6224f98190ee367b6b5dd"},
+    {file = "pymongo-4.7.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:487e2f9277f8a63ac89335ec4f1699ae0d96ebd06d239480d69ed25473a71b2c"},
+    {file = "pymongo-4.7.3-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6db3d608d541a444c84f0bfc7bad80b0b897e0f4afa580a53f9a944065d9b633"},
+    {file = "pymongo-4.7.3-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e90af2ad3a8a7c295f4d09a2fbcb9a350c76d6865f787c07fe843b79c6e821d1"},
+    {file = "pymongo-4.7.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8e28feb18dc559d50ededba27f9054c79f80c4edd70a826cecfe68f3266807b3"},
+    {file = "pymongo-4.7.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f21ecddcba2d9132d5aebd8e959de8d318c29892d0718420447baf2b9bccbb19"},
+    {file = "pymongo-4.7.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:26140fbb3f6a9a74bd73ed46d0b1f43d5702e87a6e453a31b24fad9c19df9358"},
+    {file = "pymongo-4.7.3-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:94baa5fc7f7d22c3ce2ac7bd92f7e03ba7a6875f2480e3b97a400163d6eaafc9"},
+    {file = "pymongo-4.7.3-cp38-cp38-win32.whl", hash = "sha256:92dd247727dd83d1903e495acc743ebd757f030177df289e3ba4ef8a8c561fad"},
+    {file = "pymongo-4.7.3-cp38-cp38-win_amd64.whl", hash = "sha256:1c90c848a5e45475731c35097f43026b88ef14a771dfd08f20b67adc160a3f79"},
+    {file = "pymongo-4.7.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:f598be401b416319a535c386ac84f51df38663f7a9d1071922bda4d491564422"},
+    {file = "pymongo-4.7.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:35ba90477fae61c65def6e7d09e8040edfdd3b7fd47c3c258b4edded60c4d625"},
+    {file = "pymongo-4.7.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9aa8735955c70892634d7e61b0ede9b1eefffd3cd09ccabee0ffcf1bdfe62254"},
+    {file = "pymongo-4.7.3-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:82a97d8f7f138586d9d0a0cff804a045cdbbfcfc1cd6bba542b151e284fbbec5"},
+    {file = "pymongo-4.7.3-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:de3b9db558930efab5eaef4db46dcad8bf61ac3ddfd5751b3e5ac6084a25e366"},
+    {file = "pymongo-4.7.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f0e149217ef62812d3c2401cf0e2852b0c57fd155297ecc4dcd67172c4eca402"},
+    {file = "pymongo-4.7.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b3a8a1ef4a824f5feb793b3231526d0045eadb5eb01080e38435dfc40a26c3e5"},
+    {file = "pymongo-4.7.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:d14e5e89a4be1f10efc3d9dcb13eb7a3b2334599cb6bb5d06c6a9281b79c8e22"},
+    {file = "pymongo-4.7.3-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:c6bfa29f032fd4fd7b129520f8cdb51ab71d88c2ba0567cccd05d325f963acb5"},
+    {file = "pymongo-4.7.3-cp39-cp39-win32.whl", hash = "sha256:1421d0bd2ce629405f5157bd1aaa9b83f12d53a207cf68a43334f4e4ee312b66"},
+    {file = "pymongo-4.7.3-cp39-cp39-win_amd64.whl", hash = "sha256:f7ee974f8b9370a998919c55b1050889f43815ab588890212023fecbc0402a6d"},
+    {file = "pymongo-4.7.3.tar.gz", hash = "sha256:6354a66b228f2cd399be7429685fb68e07f19110a3679782ecb4fdb68da03831"},
 ]
 
 [package.dependencies]
@@ -6253,15 +7130,18 @@ zstd = ["zstandard"]
 
 [[package]]
 name = "pyparsing"
-version = "2.4.7"
-description = "Python parsing module"
+version = "3.1.2"
+description = "pyparsing module - Classes and methods to define and execute parsing grammars"
 optional = false
-python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
+python-versions = ">=3.6.8"
 files = [
-    {file = "pyparsing-2.4.7-py2.py3-none-any.whl", hash = "sha256:ef9d7589ef3c200abe66653d3f1ab1033c3c419ae9b9bdb1240a85b024efc88b"},
-    {file = "pyparsing-2.4.7.tar.gz", hash = "sha256:c203ec8783bf771a155b207279b9bccb8dea02d8f0c9e5f8ead507bc3246ecc1"},
+    {file = "pyparsing-3.1.2-py3-none-any.whl", hash = "sha256:f9db75911801ed778fe61bb643079ff86601aca99fcae6345aa67292038fb742"},
+    {file = "pyparsing-3.1.2.tar.gz", hash = "sha256:a1bac0ce561155ecc3ed78ca94d3c9378656ad4c94c1270de543f621420f94ad"},
 ]
 
+[package.extras]
+diagrams = ["jinja2", "railroad-diagrams"]
+
 [[package]]
 name = "pypdf"
 version = "4.2.0"
@@ -6283,6 +7163,16 @@ docs = ["myst_parser", "sphinx", "sphinx_rtd_theme"]
 full = ["Pillow (>=8.0.0)", "PyCryptodome", "cryptography"]
 image = ["Pillow (>=8.0.0)"]
 
+[[package]]
+name = "pyperclip"
+version = "1.9.0"
+description = "A cross-platform clipboard module for Python. (Only handles plain text for now.)"
+optional = false
+python-versions = "*"
+files = [
+    {file = "pyperclip-1.9.0.tar.gz", hash = "sha256:b7de0142ddc81bfc5c7507eea19da920b92252b548b96186caf94a5e2527d310"},
+]
+
 [[package]]
 name = "pypika"
 version = "0.48.9"
@@ -6315,28 +7205,15 @@ files = [
     {file = "pyreadline3-3.4.1.tar.gz", hash = "sha256:6f3d1f7b8a31ba32b73917cefc1f28cc660562f39aea8646d30bd6eff21f7bae"},
 ]
 
-[[package]]
-name = "pysrt"
-version = "1.1.2"
-description = "SubRip (.srt) subtitle parser and writer"
-optional = false
-python-versions = "*"
-files = [
-    {file = "pysrt-1.1.2.tar.gz", hash = "sha256:b4f844ba33e4e7743e9db746492f3a193dc0bc112b153914698e7c1cdeb9b0b9"},
-]
-
-[package.dependencies]
-chardet = "*"
-
 [[package]]
 name = "pytest"
-version = "8.2.0"
+version = "8.2.2"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "pytest-8.2.0-py3-none-any.whl", hash = "sha256:1733f0620f6cda4095bbf0d9ff8022486e91892245bb9e7d5542c018f612f233"},
-    {file = "pytest-8.2.0.tar.gz", hash = "sha256:d507d4482197eac0ba2bae2e9babf0672eb333017bcedaa5fb1a3d42c1174b3f"},
+    {file = "pytest-8.2.2-py3-none-any.whl", hash = "sha256:c434598117762e2bd304e526244f67bf66bbd7b5d6cf22138be51ff661980343"},
+    {file = "pytest-8.2.2.tar.gz", hash = "sha256:de4bb8104e201939ccdc688b27a89a7be2079b22e2bd2b07f806b6ba71117977"},
 ]
 
 [package.dependencies]
@@ -6352,13 +7229,13 @@ dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments
 
 [[package]]
 name = "pytest-asyncio"
-version = "0.23.6"
+version = "0.23.7"
 description = "Pytest support for asyncio"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "pytest-asyncio-0.23.6.tar.gz", hash = "sha256:ffe523a89c1c222598c76856e76852b787504ddb72dd5d9b6617ffa8aa2cde5f"},
-    {file = "pytest_asyncio-0.23.6-py3-none-any.whl", hash = "sha256:68516fdd1018ac57b846c9846b954f0393b26f094764a28c955eabb0536a4e8a"},
+    {file = "pytest_asyncio-0.23.7-py3-none-any.whl", hash = "sha256:009b48127fbe44518a547bddd25611551b0e43ccdbf1e67d12479f569832c20b"},
+    {file = "pytest_asyncio-0.23.7.tar.gz", hash = "sha256:5f5c72948f4c49e7db4f29f2521d4031f1c27f86e57b046126654083d4770268"},
 ]
 
 [package.dependencies]
@@ -6370,13 +7247,13 @@ testing = ["coverage (>=6.2)", "hypothesis (>=5.7.1)"]
 
 [[package]]
 name = "pytest-cov"
-version = "4.1.0"
+version = "5.0.0"
 description = "Pytest plugin for measuring coverage."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "pytest-cov-4.1.0.tar.gz", hash = "sha256:3904b13dfbfec47f003b8e77fd5b589cd11904a21ddf1ab38a64f204d6a10ef6"},
-    {file = "pytest_cov-4.1.0-py3-none-any.whl", hash = "sha256:6ba70b9e97e69fcc3fb45bfeab2d0a138fb65c4d0d6a41ef33983ad114be8c3a"},
+    {file = "pytest-cov-5.0.0.tar.gz", hash = "sha256:5837b58e9f6ebd335b0f8060eecce69b662415b16dc503883a02f45dfeb14857"},
+    {file = "pytest_cov-5.0.0-py3-none-any.whl", hash = "sha256:4f0764a1219df53214206bf1feea4633c3b558a2925c8b59f144f682861ce652"},
 ]
 
 [package.dependencies]
@@ -6384,7 +7261,7 @@ coverage = {version = ">=5.2.1", extras = ["toml"]}
 pytest = ">=4.6"
 
 [package.extras]
-testing = ["fields", "hunter", "process-tests", "pytest-xdist", "six", "virtualenv"]
+testing = ["fields", "hunter", "process-tests", "pytest-xdist", "virtualenv"]
 
 [[package]]
 name = "pytest-instafail"
@@ -6417,6 +7294,25 @@ pytest = ">=6.2.5"
 [package.extras]
 dev = ["pre-commit", "pytest-asyncio", "tox"]
 
+[[package]]
+name = "pytest-profiling"
+version = "1.7.0"
+description = "Profiling plugin for py.test"
+optional = false
+python-versions = "*"
+files = [
+    {file = "pytest-profiling-1.7.0.tar.gz", hash = "sha256:93938f147662225d2b8bd5af89587b979652426a8a6ffd7e73ec4a23e24b7f29"},
+    {file = "pytest_profiling-1.7.0-py2.py3-none-any.whl", hash = "sha256:999cc9ac94f2e528e3f5d43465da277429984a1c237ae9818f8cfd0b06acb019"},
+]
+
+[package.dependencies]
+gprof2dot = "*"
+pytest = "*"
+six = "*"
+
+[package.extras]
+tests = ["pytest-virtualenv"]
+
 [[package]]
 name = "pytest-sugar"
 version = "1.0.0"
@@ -6470,15 +7366,30 @@ files = [
 [package.dependencies]
 six = ">=1.5"
 
+[[package]]
+name = "python-docx"
+version = "1.1.2"
+description = "Create, read, and update Microsoft Word .docx files."
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "python_docx-1.1.2-py3-none-any.whl", hash = "sha256:08c20d6058916fb19853fcf080f7f42b6270d89eac9fa5f8c15f691c0017fabe"},
+    {file = "python_docx-1.1.2.tar.gz", hash = "sha256:0cf1f22e95b9002addca7948e16f2cd7acdfd498047f1941ca5d293db7762efd"},
+]
+
+[package.dependencies]
+lxml = ">=3.1.0"
+typing-extensions = ">=4.9.0"
+
 [[package]]
 name = "python-dotenv"
-version = "0.21.1"
+version = "1.0.1"
 description = "Read key-value pairs from a .env file and set them as environment variables"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "python-dotenv-0.21.1.tar.gz", hash = "sha256:1c93de8f636cde3ce377292818d0e440b6e45a82f215c3744979151fa8151c49"},
-    {file = "python_dotenv-0.21.1-py3-none-any.whl", hash = "sha256:41e12e0318bebc859fcc4d97d4db8d20ad21721a6aa5047dd59f090391cb549a"},
+    {file = "python-dotenv-1.0.1.tar.gz", hash = "sha256:e324ee90a023d808f1959c46bcbc04446a10ced277783dc6ee09987c37ec10ca"},
+    {file = "python_dotenv-1.0.1-py3-none-any.whl", hash = "sha256:f7b63ef50f1b690dddf550d03497b66d609393b40b564ed0d674909a68ebf16a"},
 ]
 
 [package.extras]
@@ -6544,6 +7455,22 @@ files = [
 [package.extras]
 dev = ["atomicwrites (==1.2.1)", "attrs (==19.2.0)", "coverage (==6.5.0)", "hatch", "invoke (==2.2.0)", "more-itertools (==4.3.0)", "pbr (==4.3.0)", "pluggy (==1.0.0)", "py (==1.11.0)", "pytest (==7.2.0)", "pytest-cov (==4.0.0)", "pytest-timeout (==2.1.0)", "pyyaml (==5.1)"]
 
+[[package]]
+name = "python-pptx"
+version = "0.6.23"
+description = "Generate and manipulate Open XML PowerPoint (.pptx) files"
+optional = false
+python-versions = "*"
+files = [
+    {file = "python-pptx-0.6.23.tar.gz", hash = "sha256:587497ff28e779ab18dbb074f6d4052893c85dedc95ed75df319364f331fedee"},
+    {file = "python_pptx-0.6.23-py3-none-any.whl", hash = "sha256:dd0527194627a2b7cc05f3ba23ecaa2d9a0d5ac9b6193a28ed1b7a716f4217d4"},
+]
+
+[package.dependencies]
+lxml = ">=3.1.0"
+Pillow = ">=3.3.2"
+XlsxWriter = ">=0.5.7"
+
 [[package]]
 name = "pytube"
 version = "15.0.0"
@@ -6751,48 +7678,55 @@ cffi = {version = "*", markers = "implementation_name == \"pypy\""}
 
 [[package]]
 name = "qdrant-client"
-version = "1.9.1"
+version = "1.9.2"
 description = "Client library for the Qdrant vector search engine"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "qdrant_client-1.9.1-py3-none-any.whl", hash = "sha256:b9b7e0e5c1a51410d8bb5106a869a51e12f92ab45a99030f27aba790553bd2c8"},
-    {file = "qdrant_client-1.9.1.tar.gz", hash = "sha256:186b9c31d95aefe8f2db84b7746402d7365bd63b305550e530e31bde2002ce79"},
+    {file = "qdrant_client-1.9.2-py3-none-any.whl", hash = "sha256:0f49a4a6a47f62bc2c9afc69f9e1fb7790e4861ffe083d2de78dda30eb477d0e"},
+    {file = "qdrant_client-1.9.2.tar.gz", hash = "sha256:35ba55a8484a4b817f985749d11fe6b5d2acf617fec07dd8bc01f3e9b4e9fa79"},
 ]
 
 [package.dependencies]
 grpcio = ">=1.41.0"
 grpcio-tools = ">=1.41.0"
 httpx = {version = ">=0.20.0", extras = ["http2"]}
-numpy = {version = ">=1.21", markers = "python_version >= \"3.8\" and python_version < \"3.12\""}
+numpy = [
+    {version = ">=1.21", markers = "python_version >= \"3.8\" and python_version < \"3.12\""},
+    {version = ">=1.26", markers = "python_version >= \"3.12\""},
+]
 portalocker = ">=2.7.0,<3.0.0"
 pydantic = ">=1.10.8"
 urllib3 = ">=1.26.14,<3"
 
 [package.extras]
-fastembed = ["fastembed (==0.2.6)"]
+fastembed = ["fastembed (==0.2.7)"]
+fastembed-gpu = ["fastembed-gpu (==0.2.7)"]
 
 [[package]]
 name = "qianfan"
-version = "0.3.0"
+version = "0.3.5"
 description = "文心千帆大模型平台 Python SDK"
 optional = false
 python-versions = ">=3.7,<4"
 files = [
-    {file = "qianfan-0.3.0-py3-none-any.whl", hash = "sha256:1fc324aa494f10c8f4569251d298c14e6700ea93f27cc361d8e5cce456b930a1"},
-    {file = "qianfan-0.3.0.tar.gz", hash = "sha256:b12aab31b5eb6f58d5423b2d4648627add7941a6cfa2f7c36d7da268302ea72c"},
+    {file = "qianfan-0.3.5-py3-none-any.whl", hash = "sha256:0d5712c93ec6877c4176aae21ff58b41ccfef7ba661c6e19c07209c353353a16"},
+    {file = "qianfan-0.3.5.tar.gz", hash = "sha256:b71847888bd99d61cee5f84f614f431204f3d656d71dd7ae1d0f9bc9ae51b42b"},
 ]
 
 [package.dependencies]
 aiohttp = ">=3.7.0"
 aiolimiter = ">=1.1.0"
 bce-python-sdk = ">=0.8.79"
+clevercsv = {version = "*", markers = "python_version >= \"3.8\""}
+ijson = "*"
+multiprocess = "*"
 numpy = {version = ">=1.22.0", markers = "python_version >= \"3.8\""}
 prompt-toolkit = ">=3.0.38"
 pyarrow = {version = ">=14.0.1", markers = "python_version >= \"3.8\""}
 pydantic = "*"
 python-dateutil = ">=2.8.2,<3.0.0"
-python-dotenv = "<=0.21.1"
+python-dotenv = {version = ">=1.0", markers = "python_version >= \"3.8\""}
 pyyaml = ">=6.0.1,<7.0.0"
 requests = ">=2.24"
 rich = ">=13.0.0"
@@ -6807,101 +7741,104 @@ langchain = ["langchain (>=0.0.321)"]
 
 [[package]]
 name = "rapidfuzz"
-version = "3.9.0"
+version = "3.9.3"
 description = "rapid fuzzy string matching"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "rapidfuzz-3.9.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:bd375c4830fee11d502dd93ecadef63c137ae88e1aaa29cc15031fa66d1e0abb"},
-    {file = "rapidfuzz-3.9.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:55e2c5076f38fc1dbaacb95fa026a3e409eee6ea5ac4016d44fb30e4cad42b20"},
-    {file = "rapidfuzz-3.9.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:488f74126904db6b1bea545c2f3567ea882099f4c13f46012fe8f4b990c683df"},
-    {file = "rapidfuzz-3.9.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e3f2d1ea7cd57dfcd34821e38b4924c80a31bcf8067201b1ab07386996a9faee"},
-    {file = "rapidfuzz-3.9.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b11e602987bcb4ea22b44178851f27406fca59b0836298d0beb009b504dba266"},
-    {file = "rapidfuzz-3.9.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3083512e9bf6ed2bb3d25883922974f55e21ae7f8e9f4e298634691ae1aee583"},
-    {file = "rapidfuzz-3.9.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b33c6d4b3a1190bc0b6c158c3981535f9434e8ed9ffa40cf5586d66c1819fb4b"},
-    {file = "rapidfuzz-3.9.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0dcb95fde22f98e6d0480db8d6038c45fe2d18a338690e6f9bba9b82323f3469"},
-    {file = "rapidfuzz-3.9.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:08d8b49b3a4fb8572e480e73fcddc750da9cbb8696752ee12cca4bf8c8220d52"},
-    {file = "rapidfuzz-3.9.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:e721842e6b601ebbeb8cc5e12c75bbdd1d9e9561ea932f2f844c418c31256e82"},
-    {file = "rapidfuzz-3.9.0-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:7988363b3a415c5194ce1a68d380629247f8713e669ad81db7548eb156c4f365"},
-    {file = "rapidfuzz-3.9.0-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:2d267d4c982ab7d177e994ab1f31b98ff3814f6791b90d35dda38307b9e7c989"},
-    {file = "rapidfuzz-3.9.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:0bb28ab5300cf974c7eb68ea21125c493e74b35b1129e629533468b2064ae0a2"},
-    {file = "rapidfuzz-3.9.0-cp310-cp310-win32.whl", hash = "sha256:1b1f74997b6d94d66375479fa55f70b1c18e4d865d7afcd13f0785bfd40a9d3c"},
-    {file = "rapidfuzz-3.9.0-cp310-cp310-win_amd64.whl", hash = "sha256:c56d2efdfaa1c642029f3a7a5bb76085c5531f7a530777be98232d2ce142553c"},
-    {file = "rapidfuzz-3.9.0-cp310-cp310-win_arm64.whl", hash = "sha256:6a83128d505cac76ea560bb9afcb3f6986e14e50a6f467db9a31faef4bd9b347"},
-    {file = "rapidfuzz-3.9.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:e2218d62ab63f3c5ad48eced898854d0c2c327a48f0fb02e2288d7e5332a22c8"},
-    {file = "rapidfuzz-3.9.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:36bf35df2d6c7d5820da20a6720aee34f67c15cd2daf8cf92e8141995c640c25"},
-    {file = "rapidfuzz-3.9.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:905b01a9b633394ff6bb5ebb1c5fd660e0e180c03fcf9d90199cc6ed74b87cf7"},
-    {file = "rapidfuzz-3.9.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:33cfabcb7fd994938a6a08e641613ce5fe46757832edc789c6a5602e7933d6fa"},
-    {file = "rapidfuzz-3.9.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1179dcd3d150a67b8a678cd9c84f3baff7413ff13c9e8fe85e52a16c97e24c9b"},
-    {file = "rapidfuzz-3.9.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:47d97e28c42f1efb7781993b67c749223f198f6653ef177a0c8f2b1c516efcaf"},
-    {file = "rapidfuzz-3.9.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:28da953eb2ef9ad527e536022da7afff6ace7126cdd6f3e21ac20f8762e76d2c"},
-    {file = "rapidfuzz-3.9.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:182b4e11de928fb4834e8f8b5ecd971b5b10a86fabe8636ab65d3a9b7e0e9ca7"},
-    {file = "rapidfuzz-3.9.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:c74f2da334ce597f31670db574766ddeaee5d9430c2c00e28d0fbb7f76172036"},
-    {file = "rapidfuzz-3.9.0-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:014ac55b03f4074f903248ded181f3000f4cdbd134e6155cbf643f0eceb4f70f"},
-    {file = "rapidfuzz-3.9.0-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:c4ef34b2ddbf448f1d644b4ec6475df8bbe5b9d0fee173ff2e87322a151663bd"},
-    {file = "rapidfuzz-3.9.0-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:fc02157f521af15143fae88f92ef3ddcc4e0cff05c40153a9549dc0fbdb9adb3"},
-    {file = "rapidfuzz-3.9.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:ff08081c49b18ba253a99e6a47f492e6ee8019e19bbb6ddc3ed360cd3ecb2f62"},
-    {file = "rapidfuzz-3.9.0-cp311-cp311-win32.whl", hash = "sha256:b9bf90b3d96925cbf8ef44e5ee3cf39ef0c422f12d40f7a497e91febec546650"},
-    {file = "rapidfuzz-3.9.0-cp311-cp311-win_amd64.whl", hash = "sha256:d5d5684f54d82d9b0cf0b2701e55a630527a9c3dd5ddcf7a2e726a475ac238f2"},
-    {file = "rapidfuzz-3.9.0-cp311-cp311-win_arm64.whl", hash = "sha256:a2de844e0e971d7bd8aa41284627dbeacc90e750b90acfb016836553c7a63192"},
-    {file = "rapidfuzz-3.9.0-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:f81fe99a69ac8ee3fd905e70c62f3af033901aeb60b69317d1d43d547b46e510"},
-    {file = "rapidfuzz-3.9.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:633b9d03fc04abc585c197104b1d0af04b1f1db1abc99f674d871224cd15557a"},
-    {file = "rapidfuzz-3.9.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:ab872cb57ae97c54ba7c71a9e3c9552beb57cb907c789b726895576d1ea9af6f"},
-    {file = "rapidfuzz-3.9.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bdd8c15c3a14e409507fdf0c0434ec481d85c6cbeec8bdcd342a8cd1eda03825"},
-    {file = "rapidfuzz-3.9.0-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2444d8155d9846f206e2079bb355b85f365d9457480b0d71677a112d0a7f7128"},
-    {file = "rapidfuzz-3.9.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f83bd3d01f04061c3660742dc85143a89d49fd23eb31eccbf60ad56c4b955617"},
-    {file = "rapidfuzz-3.9.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:0ca799f882364e69d0872619afb19efa3652b7133c18352e4a3d86a324fb2bb1"},
-    {file = "rapidfuzz-3.9.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6993d361f28b9ef5f0fa4e79b8541c2f3507be7471b9f9cb403a255e123b31e1"},
-    {file = "rapidfuzz-3.9.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:170822a1b1719f02b58e3dce194c8ad7d4c5b39be38c0fdec603bd19c6f9cf81"},
-    {file = "rapidfuzz-3.9.0-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:0e86e39c1c1a0816ceda836e6f7bd3743b930cbc51a43a81bb433b552f203f25"},
-    {file = "rapidfuzz-3.9.0-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:731269812ea837e0b93d913648e404736407408e33a00b75741e8f27c590caa2"},
-    {file = "rapidfuzz-3.9.0-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:8e5ff882d3a3d081157ceba7e0ebc7fac775f95b08cbb143accd4cece6043819"},
-    {file = "rapidfuzz-3.9.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:2003071aa633477a01509890c895f9ef56cf3f2eaa72c7ec0b567f743c1abcba"},
-    {file = "rapidfuzz-3.9.0-cp312-cp312-win32.whl", hash = "sha256:13857f9070600ea1f940749f123b02d0b027afbaa45e72186df0f278915761d0"},
-    {file = "rapidfuzz-3.9.0-cp312-cp312-win_amd64.whl", hash = "sha256:134b7098ac109834eeea81424b6822f33c4c52bf80b81508295611e7a21be12a"},
-    {file = "rapidfuzz-3.9.0-cp312-cp312-win_arm64.whl", hash = "sha256:2a96209f046fe328be30fc43f06e3d4b91f0d5b74e9dcd627dbfd65890fa4a5e"},
-    {file = "rapidfuzz-3.9.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:544b0bf9d17170720809918e9ccd0d482d4a3a6eca35630d8e1459f737f71755"},
-    {file = "rapidfuzz-3.9.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:1d536f8beb8dd82d6efb20fe9f82c2cfab9ffa0384b5d184327e393a4edde91d"},
-    {file = "rapidfuzz-3.9.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:30f7609da871510583f87484a10820b26555a473a90ab356cdda2f3b4456256c"},
-    {file = "rapidfuzz-3.9.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3f4a2468432a1db491af6f547fad8f6d55fa03e57265c2f20e5eaceb68c7907e"},
-    {file = "rapidfuzz-3.9.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:11a7ec4676242c8a430509cff42ce98bca2fbe30188a63d0f60fdcbfd7e84970"},
-    {file = "rapidfuzz-3.9.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:dcb523243e988c849cf81220164ec3bbed378a699e595a8914fffe80596dc49f"},
-    {file = "rapidfuzz-3.9.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4eea3bf72c4fe68e957526ffd6bcbb403a21baa6b3344aaae2d3252313df6199"},
-    {file = "rapidfuzz-3.9.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4514980a5d204c076dd5b756960f6b1b7598f030009456e6109d76c4c331d03c"},
-    {file = "rapidfuzz-3.9.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:9a06a99f1335fe43464d7121bc6540de7cd9c9475ac2025babb373fe7f27846b"},
-    {file = "rapidfuzz-3.9.0-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:6c1ed63345d1581c39d4446b1a8c8f550709656ce2a3c88c47850b258167f3c2"},
-    {file = "rapidfuzz-3.9.0-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:cd2e6e97daf17ebb3254285cf8dd86c60d56d6cf35c67f0f9a557ef26bd66290"},
-    {file = "rapidfuzz-3.9.0-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:9bc0f7e6256a9c668482c41c8a3de5d0aa12e8ca346dcc427b97c7edb82cba48"},
-    {file = "rapidfuzz-3.9.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:7c09f4e87e82a164c9db769474bc61f8c8b677f2aeb0234b8abac73d2ecf9799"},
-    {file = "rapidfuzz-3.9.0-cp38-cp38-win32.whl", hash = "sha256:e65b8f7921bf60cbb207c132842a6b45eefef48c4c3b510eb16087d6c08c70af"},
-    {file = "rapidfuzz-3.9.0-cp38-cp38-win_amd64.whl", hash = "sha256:9d6478957fb35c7844ad08f2442b62ba76c1857a56370781a707eefa4f4981e1"},
-    {file = "rapidfuzz-3.9.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:65d9250a4b0bf86320097306084bc3ca479c8f5491927c170d018787793ebe95"},
-    {file = "rapidfuzz-3.9.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:47b7c0840afa724db3b1a070bc6ed5beab73b4e659b1d395023617fc51bf68a2"},
-    {file = "rapidfuzz-3.9.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:3a16c48c6df8fb633efbbdea744361025d01d79bca988f884a620e63e782fe5b"},
-    {file = "rapidfuzz-3.9.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:48105991ff6e4a51c7f754df500baa070270ed3d41784ee0d097549bc9fcb16d"},
-    {file = "rapidfuzz-3.9.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6a7f273906b3c7cc6d63a76e088200805947aa0bc1ada42c6a0e582e19c390d7"},
-    {file = "rapidfuzz-3.9.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5c396562d304e974b4b0d5cd3afc4f92c113ea46a36e6bc62e45333d6aa8837e"},
-    {file = "rapidfuzz-3.9.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:68da1b70458fea5290ec9a169fcffe0c17ff7e5bb3c3257e63d7021a50601a8e"},
-    {file = "rapidfuzz-3.9.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0c5b8f9a7b177af6ce7c6ad5b95588b4b73e37917711aafa33b2e79ee80fe709"},
-    {file = "rapidfuzz-3.9.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:3c42a238bf9dd48f4ccec4c6934ac718225b00bb3a438a008c219e7ccb3894c7"},
-    {file = "rapidfuzz-3.9.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:a365886c42177b2beab475a50ba311b59b04f233ceaebc4c341f6f91a86a78e2"},
-    {file = "rapidfuzz-3.9.0-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:ce897b5dafb7fb7587a95fe4d449c1ea0b6d9ac4462fbafefdbbeef6eee4cf6a"},
-    {file = "rapidfuzz-3.9.0-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:413ac49bae291d7e226a5c9be65c71b2630b3346bce39268d02cb3290232e4b7"},
-    {file = "rapidfuzz-3.9.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:ff8982fc3bd49d55a91569fc8a3feba0de4cef0b391ff9091be546e9df075b81"},
-    {file = "rapidfuzz-3.9.0-cp39-cp39-win32.whl", hash = "sha256:3904d0084ab51f82e9f353031554965524f535522a48ec75c30b223eb5a0a488"},
-    {file = "rapidfuzz-3.9.0-cp39-cp39-win_amd64.whl", hash = "sha256:3733aede16ea112728ffeafeb29ccc62e095ed8ec816822fa2a82e92e2c08696"},
-    {file = "rapidfuzz-3.9.0-cp39-cp39-win_arm64.whl", hash = "sha256:fc4e26f592b51f97acf0a3f8dfed95e4d830c6a8fbf359361035df836381ab81"},
-    {file = "rapidfuzz-3.9.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:e33362e98c7899b5f60dcb06ada00acd8673ce0d59aefe9a542701251fd00423"},
-    {file = "rapidfuzz-3.9.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fb67cf43ad83cb886cbbbff4df7dcaad7aedf94d64fca31aea0da7d26684283c"},
-    {file = "rapidfuzz-3.9.0-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0e2e106cc66453bb80d2ad9c0044f8287415676df5c8036d737d05d4b9cdbf8e"},
-    {file = "rapidfuzz-3.9.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b1256915f7e7a5cf2c151c9ac44834b37f9bd1c97e8dec6f936884f01b9dfc7d"},
-    {file = "rapidfuzz-3.9.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:ae643220584518cbff8bf2974a0494d3e250763af816b73326a512c86ae782ce"},
-    {file = "rapidfuzz-3.9.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:491274080742110427f38a6085bb12dffcaff1eef12dccf9e8758398c7e3957e"},
-    {file = "rapidfuzz-3.9.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2bc5559b9b94326922c096b30ae2d8e5b40b2e9c2c100c2cc396ad91bcb84d30"},
-    {file = "rapidfuzz-3.9.0-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:849160dc0f128acb343af514ca827278005c1d00148d025e4035e034fc2d8c7f"},
-    {file = "rapidfuzz-3.9.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:623883fb78e692d54ed7c43b09beec52c6685f10a45a7518128e25746667403b"},
-    {file = "rapidfuzz-3.9.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:d20ab9abc7e19767f1951772a6ab14cb4eddd886493c2da5ee12014596ad253f"},
-    {file = "rapidfuzz-3.9.0.tar.gz", hash = "sha256:b182f0fb61f6ac435e416eb7ab330d62efdbf9b63cf0c7fa12d1f57c2eaaf6f3"},
+    {file = "rapidfuzz-3.9.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bdb8c5b8e29238ec80727c2ba3b301efd45aa30c6a7001123a6647b8e6f77ea4"},
+    {file = "rapidfuzz-3.9.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b3bd0d9632088c63a241f217742b1cf86e2e8ae573e01354775bd5016d12138c"},
+    {file = "rapidfuzz-3.9.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:153f23c03d4917f6a1fc2fb56d279cc6537d1929237ff08ee7429d0e40464a18"},
+    {file = "rapidfuzz-3.9.3-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a96c5225e840f1587f1bac8fa6f67562b38e095341576e82b728a82021f26d62"},
+    {file = "rapidfuzz-3.9.3-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b777cd910ceecd738adc58593d6ed42e73f60ad04ecdb4a841ae410b51c92e0e"},
+    {file = "rapidfuzz-3.9.3-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:53e06e4b81f552da04940aa41fc556ba39dee5513d1861144300c36c33265b76"},
+    {file = "rapidfuzz-3.9.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5c7ca5b6050f18fdcacdada2dc5fb7619ff998cd9aba82aed2414eee74ebe6cd"},
+    {file = "rapidfuzz-3.9.3-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:87bb8d84cb41446a808c4b5f746e29d8a53499381ed72f6c4e456fe0f81c80a8"},
+    {file = "rapidfuzz-3.9.3-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:959a15186d18425d19811bea86a8ffbe19fd48644004d29008e636631420a9b7"},
+    {file = "rapidfuzz-3.9.3-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:a24603dd05fb4e3c09d636b881ce347e5f55f925a6b1b4115527308a323b9f8e"},
+    {file = "rapidfuzz-3.9.3-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:0d055da0e801c71dd74ba81d72d41b2fa32afa182b9fea6b4b199d2ce937450d"},
+    {file = "rapidfuzz-3.9.3-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:875b581afb29a7213cf9d98cb0f98df862f1020bce9d9b2e6199b60e78a41d14"},
+    {file = "rapidfuzz-3.9.3-cp310-cp310-win32.whl", hash = "sha256:6073a46f61479a89802e3f04655267caa6c14eb8ac9d81a635a13805f735ebc1"},
+    {file = "rapidfuzz-3.9.3-cp310-cp310-win_amd64.whl", hash = "sha256:119c010e20e561249b99ca2627f769fdc8305b07193f63dbc07bca0a6c27e892"},
+    {file = "rapidfuzz-3.9.3-cp310-cp310-win_arm64.whl", hash = "sha256:790b0b244f3213581d42baa2fed8875f9ee2b2f9b91f94f100ec80d15b140ba9"},
+    {file = "rapidfuzz-3.9.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f57e8305c281e8c8bc720515540e0580355100c0a7a541105c6cafc5de71daae"},
+    {file = "rapidfuzz-3.9.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:a4fc7b784cf987dbddc300cef70e09a92ed1bce136f7bb723ea79d7e297fe76d"},
+    {file = "rapidfuzz-3.9.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5b422c0a6fe139d5447a0766268e68e6a2a8c2611519f894b1f31f0a392b9167"},
+    {file = "rapidfuzz-3.9.3-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f50fed4a9b0c9825ff37cf0bccafd51ff5792090618f7846a7650f21f85579c9"},
+    {file = "rapidfuzz-3.9.3-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b80eb7cbe62348c61d3e67e17057cddfd6defab168863028146e07d5a8b24a89"},
+    {file = "rapidfuzz-3.9.3-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:65f45be77ec82da32ce5709a362e236ccf801615cc7163b136d1778cf9e31b14"},
+    {file = "rapidfuzz-3.9.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fd84b7f652a5610733400307dc732f57c4a907080bef9520412e6d9b55bc9adc"},
+    {file = "rapidfuzz-3.9.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:3e6d27dad8c990218b8cd4a5c99cbc8834f82bb46ab965a7265d5aa69fc7ced7"},
+    {file = "rapidfuzz-3.9.3-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:05ee0696ebf0dfe8f7c17f364d70617616afc7dafe366532730ca34056065b8a"},
+    {file = "rapidfuzz-3.9.3-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:2bc8391749e5022cd9e514ede5316f86e332ffd3cfceeabdc0b17b7e45198a8c"},
+    {file = "rapidfuzz-3.9.3-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:93981895602cf5944d89d317ae3b1b4cc684d175a8ae2a80ce5b65615e72ddd0"},
+    {file = "rapidfuzz-3.9.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:754b719a4990735f66653c9e9261dcf52fd4d925597e43d6b9069afcae700d21"},
+    {file = "rapidfuzz-3.9.3-cp311-cp311-win32.whl", hash = "sha256:14c9f268ade4c88cf77ab007ad0fdf63699af071ee69378de89fff7aa3cae134"},
+    {file = "rapidfuzz-3.9.3-cp311-cp311-win_amd64.whl", hash = "sha256:bc1991b4cde6c9d3c0bbcb83d5581dc7621bec8c666c095c65b4277233265a82"},
+    {file = "rapidfuzz-3.9.3-cp311-cp311-win_arm64.whl", hash = "sha256:0c34139df09a61b1b557ab65782ada971b4a3bce7081d1b2bee45b0a52231adb"},
+    {file = "rapidfuzz-3.9.3-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:5d6a210347d6e71234af5c76d55eeb0348b026c9bb98fe7c1cca89bac50fb734"},
+    {file = "rapidfuzz-3.9.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:b300708c917ce52f6075bdc6e05b07c51a085733650f14b732c087dc26e0aaad"},
+    {file = "rapidfuzz-3.9.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:83ea7ca577d76778250421de61fb55a719e45b841deb769351fc2b1740763050"},
+    {file = "rapidfuzz-3.9.3-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8319838fb5b7b5f088d12187d91d152b9386ce3979ed7660daa0ed1bff953791"},
+    {file = "rapidfuzz-3.9.3-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:505d99131afd21529293a9a7b91dfc661b7e889680b95534756134dc1cc2cd86"},
+    {file = "rapidfuzz-3.9.3-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c52970f7784518d7c82b07a62a26e345d2de8c2bd8ed4774e13342e4b3ff4200"},
+    {file = "rapidfuzz-3.9.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:143caf7247449055ecc3c1e874b69e42f403dfc049fc2f3d5f70e1daf21c1318"},
+    {file = "rapidfuzz-3.9.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:b8ab0fa653d9225195a8ff924f992f4249c1e6fa0aea563f685e71b81b9fcccf"},
+    {file = "rapidfuzz-3.9.3-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:57e7c5bf7b61c7320cfa5dde1e60e678d954ede9bb7da8e763959b2138391401"},
+    {file = "rapidfuzz-3.9.3-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:51fa1ba84653ab480a2e2044e2277bd7f0123d6693051729755addc0d015c44f"},
+    {file = "rapidfuzz-3.9.3-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:17ff7f7eecdb169f9236e3b872c96dbbaf116f7787f4d490abd34b0116e3e9c8"},
+    {file = "rapidfuzz-3.9.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:afe7c72d3f917b066257f7ff48562e5d462d865a25fbcabf40fca303a9fa8d35"},
+    {file = "rapidfuzz-3.9.3-cp312-cp312-win32.whl", hash = "sha256:e53ed2e9b32674ce96eed80b3b572db9fd87aae6742941fb8e4705e541d861ce"},
+    {file = "rapidfuzz-3.9.3-cp312-cp312-win_amd64.whl", hash = "sha256:35b7286f177e4d8ba1e48b03612f928a3c4bdac78e5651379cec59f95d8651e6"},
+    {file = "rapidfuzz-3.9.3-cp312-cp312-win_arm64.whl", hash = "sha256:e6e4b9380ed4758d0cb578b0d1970c3f32dd9e87119378729a5340cb3169f879"},
+    {file = "rapidfuzz-3.9.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:a39890013f6d5b056cc4bfdedc093e322462ece1027a57ef0c636537bdde7531"},
+    {file = "rapidfuzz-3.9.3-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:b5bc0fdbf419493163c5c9cb147c5fbe95b8e25844a74a8807dcb1a125e630cf"},
+    {file = "rapidfuzz-3.9.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:efe6e200a75a792d37b960457904c4fce7c928a96ae9e5d21d2bd382fe39066e"},
+    {file = "rapidfuzz-3.9.3-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:de077c468c225d4c18f7188c47d955a16d65f21aab121cbdd98e3e2011002c37"},
+    {file = "rapidfuzz-3.9.3-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8f917eaadf5388466a95f6a236f678a1588d231e52eda85374077101842e794e"},
+    {file = "rapidfuzz-3.9.3-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:858ba57c05afd720db8088a8707079e8d024afe4644001fe0dbd26ef7ca74a65"},
+    {file = "rapidfuzz-3.9.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d36447d21b05f90282a6f98c5a33771805f9222e5d0441d03eb8824e33e5bbb4"},
+    {file = "rapidfuzz-3.9.3-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:acbe4b6f1ccd5b90c29d428e849aa4242e51bb6cab0448d5f3c022eb9a25f7b1"},
+    {file = "rapidfuzz-3.9.3-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:53c7f27cdf899e94712972237bda48cfd427646aa6f5d939bf45d084780e4c16"},
+    {file = "rapidfuzz-3.9.3-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:6175682a829c6dea4d35ed707f1dadc16513270ef64436568d03b81ccb6bdb74"},
+    {file = "rapidfuzz-3.9.3-cp38-cp38-musllinux_1_2_s390x.whl", hash = "sha256:5276df395bd8497397197fca2b5c85f052d2e6a66ffc3eb0544dd9664d661f95"},
+    {file = "rapidfuzz-3.9.3-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:77b5c4f3e72924d7845f0e189c304270066d0f49635cf8a3938e122c437e58de"},
+    {file = "rapidfuzz-3.9.3-cp38-cp38-win32.whl", hash = "sha256:8add34061e5cd561c72ed4febb5c15969e7b25bda2bb5102d02afc3abc1f52d0"},
+    {file = "rapidfuzz-3.9.3-cp38-cp38-win_amd64.whl", hash = "sha256:604e0502a39cf8e67fa9ad239394dddad4cdef6d7008fdb037553817d420e108"},
+    {file = "rapidfuzz-3.9.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:21047f55d674614eb4b0ab34e35c3dc66f36403b9fbfae645199c4a19d4ed447"},
+    {file = "rapidfuzz-3.9.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a56da3aff97cb56fe85d9ca957d1f55dbac7c27da927a86a2a86d8a7e17f80aa"},
+    {file = "rapidfuzz-3.9.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:964c08481aec2fe574f0062e342924db2c6b321391aeb73d68853ed42420fd6d"},
+    {file = "rapidfuzz-3.9.3-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5e2b827258beefbe5d3f958243caa5a44cf46187eff0c20e0b2ab62d1550327a"},
+    {file = "rapidfuzz-3.9.3-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c6e65a301fcd19fbfbee3a514cc0014ff3f3b254b9fd65886e8a9d6957fb7bca"},
+    {file = "rapidfuzz-3.9.3-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cbe93ba1725a8d47d2b9dca6c1f435174859427fbc054d83de52aea5adc65729"},
+    {file = "rapidfuzz-3.9.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aca21c0a34adee582775da997a600283e012a608a107398d80a42f9a57ad323d"},
+    {file = "rapidfuzz-3.9.3-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:256e07d3465173b2a91c35715a2277b1ee3ae0b9bbab4e519df6af78570741d0"},
+    {file = "rapidfuzz-3.9.3-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:802ca2cc8aa6b8b34c6fdafb9e32540c1ba05fca7ad60b3bbd7ec89ed1797a87"},
+    {file = "rapidfuzz-3.9.3-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:dd789100fc852cffac1449f82af0da139d36d84fd9faa4f79fc4140a88778343"},
+    {file = "rapidfuzz-3.9.3-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:5d0abbacdb06e27ff803d7ae0bd0624020096802758068ebdcab9bd49cf53115"},
+    {file = "rapidfuzz-3.9.3-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:378d1744828e27490a823fc6fe6ebfb98c15228d54826bf4e49e4b76eb5f5579"},
+    {file = "rapidfuzz-3.9.3-cp39-cp39-win32.whl", hash = "sha256:5d0cb272d43e6d3c0dedefdcd9d00007471f77b52d2787a4695e9dd319bb39d2"},
+    {file = "rapidfuzz-3.9.3-cp39-cp39-win_amd64.whl", hash = "sha256:15e4158ac4b3fb58108072ec35b8a69165f651ba1c8f43559a36d518dbf9fb3f"},
+    {file = "rapidfuzz-3.9.3-cp39-cp39-win_arm64.whl", hash = "sha256:58c6a4936190c558d5626b79fc9e16497e5df7098589a7e80d8bff68148ff096"},
+    {file = "rapidfuzz-3.9.3-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:5410dc848c947a603792f4f51b904a3331cf1dc60621586bfbe7a6de72da1091"},
+    {file = "rapidfuzz-3.9.3-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:282d55700a1a3d3a7980746eb2fcd48c9bbc1572ebe0840d0340d548a54d01fe"},
+    {file = "rapidfuzz-3.9.3-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dc1037507810833646481f5729901a154523f98cbebb1157ba3a821012e16402"},
+    {file = "rapidfuzz-3.9.3-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5e33f779391caedcba2ba3089fb6e8e557feab540e9149a5c3f7fea7a3a7df37"},
+    {file = "rapidfuzz-3.9.3-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:41a81a9f311dc83d22661f9b1a1de983b201322df0c4554042ffffd0f2040c37"},
+    {file = "rapidfuzz-3.9.3-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:a93250bd8fae996350c251e1752f2c03335bb8a0a5b0c7e910a593849121a435"},
+    {file = "rapidfuzz-3.9.3-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:3617d1aa7716c57d120b6adc8f7c989f2d65bc2b0cbd5f9288f1fc7bf469da11"},
+    {file = "rapidfuzz-3.9.3-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:ad04a3f5384b82933213bba2459f6424decc2823df40098920856bdee5fd6e88"},
+    {file = "rapidfuzz-3.9.3-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8709918da8a88ad73c9d4dd0ecf24179a4f0ceba0bee21efc6ea21a8b5290349"},
+    {file = "rapidfuzz-3.9.3-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b770f85eab24034e6ef7df04b2bfd9a45048e24f8a808e903441aa5abde8ecdd"},
+    {file = "rapidfuzz-3.9.3-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:930b4e6fdb4d914390141a2b99a6f77a52beacf1d06aa4e170cba3a98e24c1bc"},
+    {file = "rapidfuzz-3.9.3-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:c8444e921bfc3757c475c4f4d7416a7aa69b2d992d5114fe55af21411187ab0d"},
+    {file = "rapidfuzz-3.9.3-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:2c1d3ef3878f871abe6826e386c3d61b5292ef5f7946fe646f4206b85836b5da"},
+    {file = "rapidfuzz-3.9.3-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:d861bf326ee7dabc35c532a40384541578cd1ec1e1b7db9f9ecbba56eb76ca22"},
+    {file = "rapidfuzz-3.9.3-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cde6b9d9ba5007077ee321ec722fa714ebc0cbd9a32ccf0f4dd3cc3f20952d71"},
+    {file = "rapidfuzz-3.9.3-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3bb6546e7b6bed1aefbe24f68a5fb9b891cc5aef61bca6c1a7b1054b7f0359bb"},
+    {file = "rapidfuzz-3.9.3-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3d8a57261ef7996d5ced7c8cba9189ada3fbeffd1815f70f635e4558d93766cb"},
+    {file = "rapidfuzz-3.9.3-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:67201c02efc596923ad950519e0b75ceb78d524177ea557134d6567b9ac2c283"},
+    {file = "rapidfuzz-3.9.3.tar.gz", hash = "sha256:b398ea66e8ed50451bce5997c430197d5e4b06ac4aa74602717f792d8d8d06e2"},
 ]
 
 [package.extras]
@@ -6909,39 +7846,29 @@ full = ["numpy"]
 
 [[package]]
 name = "realtime"
-version = "1.0.0"
+version = "1.0.6"
 description = ""
 optional = false
-python-versions = ">=3.8,<4.0"
+python-versions = "<4.0,>=3.8"
 files = [
-    {file = "realtime-1.0.0-py3-none-any.whl", hash = "sha256:ceab9e292211ab08b5792ac52b3fa25398440031d5b369bd5799b8125056e2d8"},
-    {file = "realtime-1.0.0.tar.gz", hash = "sha256:14e540c4a0cc2736ae83e0cbd7efbbfb8b736df1681df2b9141556cb4848502d"},
+    {file = "realtime-1.0.6-py3-none-any.whl", hash = "sha256:c66918a106d8ef348d1821f2dbf6683d8833825580d95b2fdea9995406b42838"},
+    {file = "realtime-1.0.6.tar.gz", hash = "sha256:2be0d8a6305513d423604ee319216108fc20105cb7438922d5c8958c48f40a47"},
 ]
 
 [package.dependencies]
 python-dateutil = ">=2.8.1,<3.0.0"
-typing-extensions = ">=4.2.0,<5.0.0"
-websockets = ">=10.3,<11.0"
-
-[[package]]
-name = "red-black-tree-mod"
-version = "1.20"
-description = "Flexible python implementation of red black trees"
-optional = false
-python-versions = "*"
-files = [
-    {file = "red-black-tree-mod-1.20.tar.gz", hash = "sha256:2448e6fc9cbf1be204c753f352c6ee49aa8156dbf1faa57dfc26bd7705077e0a"},
-]
+typing-extensions = ">=4.12.2,<5.0.0"
+websockets = ">=11,<13"
 
 [[package]]
 name = "redis"
-version = "5.0.4"
+version = "5.0.6"
 description = "Python client for Redis database and key-value store"
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "redis-5.0.4-py3-none-any.whl", hash = "sha256:7adc2835c7a9b5033b7ad8f8918d09b7344188228809c98df07af226d39dec91"},
-    {file = "redis-5.0.4.tar.gz", hash = "sha256:ec31f2ed9675cc54c21ba854cfe0462e6faf1d83c8ce5944709db8a4700b9c61"},
+    {file = "redis-5.0.6-py3-none-any.whl", hash = "sha256:c0d6d990850c627bbf7be01c5c4cbaadf67b48593e913bb71c9819c30df37eee"},
+    {file = "redis-5.0.6.tar.gz", hash = "sha256:38473cd7c6389ad3e44a91f4c3eaf6bcb8a9f746007f29bf4fb20824ff0b2197"},
 ]
 
 [package.dependencies]
@@ -6953,101 +7880,101 @@ ocsp = ["cryptography (>=36.0.1)", "pyopenssl (==20.0.1)", "requests (>=2.26.0)"
 
 [[package]]
 name = "regex"
-version = "2024.4.28"
+version = "2024.5.15"
 description = "Alternative regular expression module, to replace re."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "regex-2024.4.28-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:cd196d056b40af073d95a2879678585f0b74ad35190fac04ca67954c582c6b61"},
-    {file = "regex-2024.4.28-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8bb381f777351bd534462f63e1c6afb10a7caa9fa2a421ae22c26e796fe31b1f"},
-    {file = "regex-2024.4.28-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:47af45b6153522733aa6e92543938e97a70ce0900649ba626cf5aad290b737b6"},
-    {file = "regex-2024.4.28-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:99d6a550425cc51c656331af0e2b1651e90eaaa23fb4acde577cf15068e2e20f"},
-    {file = "regex-2024.4.28-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bf29304a8011feb58913c382902fde3395957a47645bf848eea695839aa101b7"},
-    {file = "regex-2024.4.28-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:92da587eee39a52c91aebea8b850e4e4f095fe5928d415cb7ed656b3460ae79a"},
-    {file = "regex-2024.4.28-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6277d426e2f31bdbacb377d17a7475e32b2d7d1f02faaecc48d8e370c6a3ff31"},
-    {file = "regex-2024.4.28-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:28e1f28d07220c0f3da0e8fcd5a115bbb53f8b55cecf9bec0c946eb9a059a94c"},
-    {file = "regex-2024.4.28-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:aaa179975a64790c1f2701ac562b5eeb733946eeb036b5bcca05c8d928a62f10"},
-    {file = "regex-2024.4.28-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:6f435946b7bf7a1b438b4e6b149b947c837cb23c704e780c19ba3e6855dbbdd3"},
-    {file = "regex-2024.4.28-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:19d6c11bf35a6ad077eb23852827f91c804eeb71ecb85db4ee1386825b9dc4db"},
-    {file = "regex-2024.4.28-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:fdae0120cddc839eb8e3c15faa8ad541cc6d906d3eb24d82fb041cfe2807bc1e"},
-    {file = "regex-2024.4.28-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:e672cf9caaf669053121f1766d659a8813bd547edef6e009205378faf45c67b8"},
-    {file = "regex-2024.4.28-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:f57515750d07e14743db55d59759893fdb21d2668f39e549a7d6cad5d70f9fea"},
-    {file = "regex-2024.4.28-cp310-cp310-win32.whl", hash = "sha256:a1409c4eccb6981c7baabc8888d3550df518add6e06fe74fa1d9312c1838652d"},
-    {file = "regex-2024.4.28-cp310-cp310-win_amd64.whl", hash = "sha256:1f687a28640f763f23f8a9801fe9e1b37338bb1ca5d564ddd41619458f1f22d1"},
-    {file = "regex-2024.4.28-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:84077821c85f222362b72fdc44f7a3a13587a013a45cf14534df1cbbdc9a6796"},
-    {file = "regex-2024.4.28-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b45d4503de8f4f3dc02f1d28a9b039e5504a02cc18906cfe744c11def942e9eb"},
-    {file = "regex-2024.4.28-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:457c2cd5a646dd4ed536c92b535d73548fb8e216ebee602aa9f48e068fc393f3"},
-    {file = "regex-2024.4.28-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2b51739ddfd013c6f657b55a508de8b9ea78b56d22b236052c3a85a675102dc6"},
-    {file = "regex-2024.4.28-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:459226445c7d7454981c4c0ce0ad1a72e1e751c3e417f305722bbcee6697e06a"},
-    {file = "regex-2024.4.28-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:670fa596984b08a4a769491cbdf22350431970d0112e03d7e4eeaecaafcd0fec"},
-    {file = "regex-2024.4.28-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fe00f4fe11c8a521b173e6324d862ee7ee3412bf7107570c9b564fe1119b56fb"},
-    {file = "regex-2024.4.28-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:36f392dc7763fe7924575475736bddf9ab9f7a66b920932d0ea50c2ded2f5636"},
-    {file = "regex-2024.4.28-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:23a412b7b1a7063f81a742463f38821097b6a37ce1e5b89dd8e871d14dbfd86b"},
-    {file = "regex-2024.4.28-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:f1d6e4b7b2ae3a6a9df53efbf199e4bfcff0959dbdb5fd9ced34d4407348e39a"},
-    {file = "regex-2024.4.28-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:499334ad139557de97cbc4347ee921c0e2b5e9c0f009859e74f3f77918339257"},
-    {file = "regex-2024.4.28-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:0940038bec2fe9e26b203d636c44d31dd8766abc1fe66262da6484bd82461ccf"},
-    {file = "regex-2024.4.28-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:66372c2a01782c5fe8e04bff4a2a0121a9897e19223d9eab30c54c50b2ebeb7f"},
-    {file = "regex-2024.4.28-cp311-cp311-win32.whl", hash = "sha256:c77d10ec3c1cf328b2f501ca32583625987ea0f23a0c2a49b37a39ee5c4c4630"},
-    {file = "regex-2024.4.28-cp311-cp311-win_amd64.whl", hash = "sha256:fc0916c4295c64d6890a46e02d4482bb5ccf33bf1a824c0eaa9e83b148291f90"},
-    {file = "regex-2024.4.28-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:08a1749f04fee2811c7617fdd46d2e46d09106fa8f475c884b65c01326eb15c5"},
-    {file = "regex-2024.4.28-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:b8eb28995771c087a73338f695a08c9abfdf723d185e57b97f6175c5051ff1ae"},
-    {file = "regex-2024.4.28-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:dd7ef715ccb8040954d44cfeff17e6b8e9f79c8019daae2fd30a8806ef5435c0"},
-    {file = "regex-2024.4.28-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fb0315a2b26fde4005a7c401707c5352df274460f2f85b209cf6024271373013"},
-    {file = "regex-2024.4.28-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f2fc053228a6bd3a17a9b0a3f15c3ab3cf95727b00557e92e1cfe094b88cc662"},
-    {file = "regex-2024.4.28-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7fe9739a686dc44733d52d6e4f7b9c77b285e49edf8570754b322bca6b85b4cc"},
-    {file = "regex-2024.4.28-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a74fcf77d979364f9b69fcf8200849ca29a374973dc193a7317698aa37d8b01c"},
-    {file = "regex-2024.4.28-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:965fd0cf4694d76f6564896b422724ec7b959ef927a7cb187fc6b3f4e4f59833"},
-    {file = "regex-2024.4.28-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:2fef0b38c34ae675fcbb1b5db760d40c3fc3612cfa186e9e50df5782cac02bcd"},
-    {file = "regex-2024.4.28-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:bc365ce25f6c7c5ed70e4bc674f9137f52b7dd6a125037f9132a7be52b8a252f"},
-    {file = "regex-2024.4.28-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:ac69b394764bb857429b031d29d9604842bc4cbfd964d764b1af1868eeebc4f0"},
-    {file = "regex-2024.4.28-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:144a1fc54765f5c5c36d6d4b073299832aa1ec6a746a6452c3ee7b46b3d3b11d"},
-    {file = "regex-2024.4.28-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:2630ca4e152c221072fd4a56d4622b5ada876f668ecd24d5ab62544ae6793ed6"},
-    {file = "regex-2024.4.28-cp312-cp312-win32.whl", hash = "sha256:7f3502f03b4da52bbe8ba962621daa846f38489cae5c4a7b5d738f15f6443d17"},
-    {file = "regex-2024.4.28-cp312-cp312-win_amd64.whl", hash = "sha256:0dd3f69098511e71880fb00f5815db9ed0ef62c05775395968299cb400aeab82"},
-    {file = "regex-2024.4.28-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:374f690e1dd0dbdcddea4a5c9bdd97632cf656c69113f7cd6a361f2a67221cb6"},
-    {file = "regex-2024.4.28-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:25f87ae6b96374db20f180eab083aafe419b194e96e4f282c40191e71980c666"},
-    {file = "regex-2024.4.28-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:5dbc1bcc7413eebe5f18196e22804a3be1bfdfc7e2afd415e12c068624d48247"},
-    {file = "regex-2024.4.28-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f85151ec5a232335f1be022b09fbbe459042ea1951d8a48fef251223fc67eee1"},
-    {file = "regex-2024.4.28-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:57ba112e5530530fd175ed550373eb263db4ca98b5f00694d73b18b9a02e7185"},
-    {file = "regex-2024.4.28-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:224803b74aab56aa7be313f92a8d9911dcade37e5f167db62a738d0c85fdac4b"},
-    {file = "regex-2024.4.28-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0a54a047b607fd2d2d52a05e6ad294602f1e0dec2291152b745870afc47c1397"},
-    {file = "regex-2024.4.28-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0a2a512d623f1f2d01d881513af9fc6a7c46e5cfffb7dc50c38ce959f9246c94"},
-    {file = "regex-2024.4.28-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:c06bf3f38f0707592898428636cbb75d0a846651b053a1cf748763e3063a6925"},
-    {file = "regex-2024.4.28-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:1031a5e7b048ee371ab3653aad3030ecfad6ee9ecdc85f0242c57751a05b0ac4"},
-    {file = "regex-2024.4.28-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:d7a353ebfa7154c871a35caca7bfd8f9e18666829a1dc187115b80e35a29393e"},
-    {file = "regex-2024.4.28-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:7e76b9cfbf5ced1aca15a0e5b6f229344d9b3123439ffce552b11faab0114a02"},
-    {file = "regex-2024.4.28-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:5ce479ecc068bc2a74cb98dd8dba99e070d1b2f4a8371a7dfe631f85db70fe6e"},
-    {file = "regex-2024.4.28-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:7d77b6f63f806578c604dca209280e4c54f0fa9a8128bb8d2cc5fb6f99da4150"},
-    {file = "regex-2024.4.28-cp38-cp38-win32.whl", hash = "sha256:d84308f097d7a513359757c69707ad339da799e53b7393819ec2ea36bc4beb58"},
-    {file = "regex-2024.4.28-cp38-cp38-win_amd64.whl", hash = "sha256:2cc1b87bba1dd1a898e664a31012725e48af826bf3971e786c53e32e02adae6c"},
-    {file = "regex-2024.4.28-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:7413167c507a768eafb5424413c5b2f515c606be5bb4ef8c5dee43925aa5718b"},
-    {file = "regex-2024.4.28-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:108e2dcf0b53a7c4ab8986842a8edcb8ab2e59919a74ff51c296772e8e74d0ae"},
-    {file = "regex-2024.4.28-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:f1c5742c31ba7d72f2dedf7968998730664b45e38827637e0f04a2ac7de2f5f1"},
-    {file = "regex-2024.4.28-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ecc6148228c9ae25ce403eade13a0961de1cb016bdb35c6eafd8e7b87ad028b1"},
-    {file = "regex-2024.4.28-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b7d893c8cf0e2429b823ef1a1d360a25950ed11f0e2a9df2b5198821832e1947"},
-    {file = "regex-2024.4.28-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4290035b169578ffbbfa50d904d26bec16a94526071ebec3dadbebf67a26b25e"},
-    {file = "regex-2024.4.28-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:44a22ae1cfd82e4ffa2066eb3390777dc79468f866f0625261a93e44cdf6482b"},
-    {file = "regex-2024.4.28-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:fd24fd140b69f0b0bcc9165c397e9b2e89ecbeda83303abf2a072609f60239e2"},
-    {file = "regex-2024.4.28-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:39fb166d2196413bead229cd64a2ffd6ec78ebab83fff7d2701103cf9f4dfd26"},
-    {file = "regex-2024.4.28-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:9301cc6db4d83d2c0719f7fcda37229691745168bf6ae849bea2e85fc769175d"},
-    {file = "regex-2024.4.28-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:7c3d389e8d76a49923683123730c33e9553063d9041658f23897f0b396b2386f"},
-    {file = "regex-2024.4.28-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:99ef6289b62042500d581170d06e17f5353b111a15aa6b25b05b91c6886df8fc"},
-    {file = "regex-2024.4.28-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:b91d529b47798c016d4b4c1d06cc826ac40d196da54f0de3c519f5a297c5076a"},
-    {file = "regex-2024.4.28-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:43548ad74ea50456e1c68d3c67fff3de64c6edb85bcd511d1136f9b5376fc9d1"},
-    {file = "regex-2024.4.28-cp39-cp39-win32.whl", hash = "sha256:05d9b6578a22db7dedb4df81451f360395828b04f4513980b6bd7a1412c679cc"},
-    {file = "regex-2024.4.28-cp39-cp39-win_amd64.whl", hash = "sha256:3986217ec830c2109875be740531feb8ddafe0dfa49767cdcd072ed7e8927962"},
-    {file = "regex-2024.4.28.tar.gz", hash = "sha256:83ab366777ea45d58f72593adf35d36ca911ea8bd838483c1823b883a121b0e4"},
+    {file = "regex-2024.5.15-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a81e3cfbae20378d75185171587cbf756015ccb14840702944f014e0d93ea09f"},
+    {file = "regex-2024.5.15-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:7b59138b219ffa8979013be7bc85bb60c6f7b7575df3d56dc1e403a438c7a3f6"},
+    {file = "regex-2024.5.15-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a0bd000c6e266927cb7a1bc39d55be95c4b4f65c5be53e659537537e019232b1"},
+    {file = "regex-2024.5.15-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5eaa7ddaf517aa095fa8da0b5015c44d03da83f5bd49c87961e3c997daed0de7"},
+    {file = "regex-2024.5.15-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ba68168daedb2c0bab7fd7e00ced5ba90aebf91024dea3c88ad5063c2a562cca"},
+    {file = "regex-2024.5.15-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:6e8d717bca3a6e2064fc3a08df5cbe366369f4b052dcd21b7416e6d71620dca1"},
+    {file = "regex-2024.5.15-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1337b7dbef9b2f71121cdbf1e97e40de33ff114801263b275aafd75303bd62b5"},
+    {file = "regex-2024.5.15-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f9ebd0a36102fcad2f03696e8af4ae682793a5d30b46c647eaf280d6cfb32796"},
+    {file = "regex-2024.5.15-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:9efa1a32ad3a3ea112224897cdaeb6aa00381627f567179c0314f7b65d354c62"},
+    {file = "regex-2024.5.15-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:1595f2d10dff3d805e054ebdc41c124753631b6a471b976963c7b28543cf13b0"},
+    {file = "regex-2024.5.15-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:b802512f3e1f480f41ab5f2cfc0e2f761f08a1f41092d6718868082fc0d27143"},
+    {file = "regex-2024.5.15-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:a0981022dccabca811e8171f913de05720590c915b033b7e601f35ce4ea7019f"},
+    {file = "regex-2024.5.15-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:19068a6a79cf99a19ccefa44610491e9ca02c2be3305c7760d3831d38a467a6f"},
+    {file = "regex-2024.5.15-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:1b5269484f6126eee5e687785e83c6b60aad7663dafe842b34691157e5083e53"},
+    {file = "regex-2024.5.15-cp310-cp310-win32.whl", hash = "sha256:ada150c5adfa8fbcbf321c30c751dc67d2f12f15bd183ffe4ec7cde351d945b3"},
+    {file = "regex-2024.5.15-cp310-cp310-win_amd64.whl", hash = "sha256:ac394ff680fc46b97487941f5e6ae49a9f30ea41c6c6804832063f14b2a5a145"},
+    {file = "regex-2024.5.15-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:f5b1dff3ad008dccf18e652283f5e5339d70bf8ba7c98bf848ac33db10f7bc7a"},
+    {file = "regex-2024.5.15-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c6a2b494a76983df8e3d3feea9b9ffdd558b247e60b92f877f93a1ff43d26656"},
+    {file = "regex-2024.5.15-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:a32b96f15c8ab2e7d27655969a23895eb799de3665fa94349f3b2fbfd547236f"},
+    {file = "regex-2024.5.15-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:10002e86e6068d9e1c91eae8295ef690f02f913c57db120b58fdd35a6bb1af35"},
+    {file = "regex-2024.5.15-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ec54d5afa89c19c6dd8541a133be51ee1017a38b412b1321ccb8d6ddbeb4cf7d"},
+    {file = "regex-2024.5.15-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:10e4ce0dca9ae7a66e6089bb29355d4432caed736acae36fef0fdd7879f0b0cb"},
+    {file = "regex-2024.5.15-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3e507ff1e74373c4d3038195fdd2af30d297b4f0950eeda6f515ae3d84a1770f"},
+    {file = "regex-2024.5.15-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d1f059a4d795e646e1c37665b9d06062c62d0e8cc3c511fe01315973a6542e40"},
+    {file = "regex-2024.5.15-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:0721931ad5fe0dda45d07f9820b90b2148ccdd8e45bb9e9b42a146cb4f695649"},
+    {file = "regex-2024.5.15-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:833616ddc75ad595dee848ad984d067f2f31be645d603e4d158bba656bbf516c"},
+    {file = "regex-2024.5.15-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:287eb7f54fc81546346207c533ad3c2c51a8d61075127d7f6d79aaf96cdee890"},
+    {file = "regex-2024.5.15-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:19dfb1c504781a136a80ecd1fff9f16dddf5bb43cec6871778c8a907a085bb3d"},
+    {file = "regex-2024.5.15-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:119af6e56dce35e8dfb5222573b50c89e5508d94d55713c75126b753f834de68"},
+    {file = "regex-2024.5.15-cp311-cp311-win32.whl", hash = "sha256:1c1c174d6ec38d6c8a7504087358ce9213d4332f6293a94fbf5249992ba54efa"},
+    {file = "regex-2024.5.15-cp311-cp311-win_amd64.whl", hash = "sha256:9e717956dcfd656f5055cc70996ee2cc82ac5149517fc8e1b60261b907740201"},
+    {file = "regex-2024.5.15-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:632b01153e5248c134007209b5c6348a544ce96c46005d8456de1d552455b014"},
+    {file = "regex-2024.5.15-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:e64198f6b856d48192bf921421fdd8ad8eb35e179086e99e99f711957ffedd6e"},
+    {file = "regex-2024.5.15-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:68811ab14087b2f6e0fc0c2bae9ad689ea3584cad6917fc57be6a48bbd012c49"},
+    {file = "regex-2024.5.15-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f8ec0c2fea1e886a19c3bee0cd19d862b3aa75dcdfb42ebe8ed30708df64687a"},
+    {file = "regex-2024.5.15-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d0c0c0003c10f54a591d220997dd27d953cd9ccc1a7294b40a4be5312be8797b"},
+    {file = "regex-2024.5.15-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2431b9e263af1953c55abbd3e2efca67ca80a3de8a0437cb58e2421f8184717a"},
+    {file = "regex-2024.5.15-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4a605586358893b483976cffc1723fb0f83e526e8f14c6e6614e75919d9862cf"},
+    {file = "regex-2024.5.15-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:391d7f7f1e409d192dba8bcd42d3e4cf9e598f3979cdaed6ab11288da88cb9f2"},
+    {file = "regex-2024.5.15-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:9ff11639a8d98969c863d4617595eb5425fd12f7c5ef6621a4b74b71ed8726d5"},
+    {file = "regex-2024.5.15-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:4eee78a04e6c67e8391edd4dad3279828dd66ac4b79570ec998e2155d2e59fd5"},
+    {file = "regex-2024.5.15-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:8fe45aa3f4aa57faabbc9cb46a93363edd6197cbc43523daea044e9ff2fea83e"},
+    {file = "regex-2024.5.15-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:d0a3d8d6acf0c78a1fff0e210d224b821081330b8524e3e2bc5a68ef6ab5803d"},
+    {file = "regex-2024.5.15-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:c486b4106066d502495b3025a0a7251bf37ea9540433940a23419461ab9f2a80"},
+    {file = "regex-2024.5.15-cp312-cp312-win32.whl", hash = "sha256:c49e15eac7c149f3670b3e27f1f28a2c1ddeccd3a2812cba953e01be2ab9b5fe"},
+    {file = "regex-2024.5.15-cp312-cp312-win_amd64.whl", hash = "sha256:673b5a6da4557b975c6c90198588181029c60793835ce02f497ea817ff647cb2"},
+    {file = "regex-2024.5.15-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:87e2a9c29e672fc65523fb47a90d429b70ef72b901b4e4b1bd42387caf0d6835"},
+    {file = "regex-2024.5.15-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:c3bea0ba8b73b71b37ac833a7f3fd53825924165da6a924aec78c13032f20850"},
+    {file = "regex-2024.5.15-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:bfc4f82cabe54f1e7f206fd3d30fda143f84a63fe7d64a81558d6e5f2e5aaba9"},
+    {file = "regex-2024.5.15-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e5bb9425fe881d578aeca0b2b4b3d314ec88738706f66f219c194d67179337cb"},
+    {file = "regex-2024.5.15-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:64c65783e96e563103d641760664125e91bd85d8e49566ee560ded4da0d3e704"},
+    {file = "regex-2024.5.15-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cf2430df4148b08fb4324b848672514b1385ae3807651f3567871f130a728cc3"},
+    {file = "regex-2024.5.15-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5397de3219a8b08ae9540c48f602996aa6b0b65d5a61683e233af8605c42b0f2"},
+    {file = "regex-2024.5.15-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:455705d34b4154a80ead722f4f185b04c4237e8e8e33f265cd0798d0e44825fa"},
+    {file = "regex-2024.5.15-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:b2b6f1b3bb6f640c1a92be3bbfbcb18657b125b99ecf141fb3310b5282c7d4ed"},
+    {file = "regex-2024.5.15-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:3ad070b823ca5890cab606c940522d05d3d22395d432f4aaaf9d5b1653e47ced"},
+    {file = "regex-2024.5.15-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:5b5467acbfc153847d5adb21e21e29847bcb5870e65c94c9206d20eb4e99a384"},
+    {file = "regex-2024.5.15-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:e6662686aeb633ad65be2a42b4cb00178b3fbf7b91878f9446075c404ada552f"},
+    {file = "regex-2024.5.15-cp38-cp38-musllinux_1_2_s390x.whl", hash = "sha256:2b4c884767504c0e2401babe8b5b7aea9148680d2e157fa28f01529d1f7fcf67"},
+    {file = "regex-2024.5.15-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:3cd7874d57f13bf70078f1ff02b8b0aa48d5b9ed25fc48547516c6aba36f5741"},
+    {file = "regex-2024.5.15-cp38-cp38-win32.whl", hash = "sha256:e4682f5ba31f475d58884045c1a97a860a007d44938c4c0895f41d64481edbc9"},
+    {file = "regex-2024.5.15-cp38-cp38-win_amd64.whl", hash = "sha256:d99ceffa25ac45d150e30bd9ed14ec6039f2aad0ffa6bb87a5936f5782fc1569"},
+    {file = "regex-2024.5.15-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:13cdaf31bed30a1e1c2453ef6015aa0983e1366fad2667657dbcac7b02f67133"},
+    {file = "regex-2024.5.15-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:cac27dcaa821ca271855a32188aa61d12decb6fe45ffe3e722401fe61e323cd1"},
+    {file = "regex-2024.5.15-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:7dbe2467273b875ea2de38ded4eba86cbcbc9a1a6d0aa11dcf7bd2e67859c435"},
+    {file = "regex-2024.5.15-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:64f18a9a3513a99c4bef0e3efd4c4a5b11228b48aa80743be822b71e132ae4f5"},
+    {file = "regex-2024.5.15-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d347a741ea871c2e278fde6c48f85136c96b8659b632fb57a7d1ce1872547600"},
+    {file = "regex-2024.5.15-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1878b8301ed011704aea4c806a3cadbd76f84dece1ec09cc9e4dc934cfa5d4da"},
+    {file = "regex-2024.5.15-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4babf07ad476aaf7830d77000874d7611704a7fcf68c9c2ad151f5d94ae4bfc4"},
+    {file = "regex-2024.5.15-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:35cb514e137cb3488bce23352af3e12fb0dbedd1ee6e60da053c69fb1b29cc6c"},
+    {file = "regex-2024.5.15-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:cdd09d47c0b2efee9378679f8510ee6955d329424c659ab3c5e3a6edea696294"},
+    {file = "regex-2024.5.15-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:72d7a99cd6b8f958e85fc6ca5b37c4303294954eac1376535b03c2a43eb72629"},
+    {file = "regex-2024.5.15-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:a094801d379ab20c2135529948cb84d417a2169b9bdceda2a36f5f10977ebc16"},
+    {file = "regex-2024.5.15-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:c0c18345010870e58238790a6779a1219b4d97bd2e77e1140e8ee5d14df071aa"},
+    {file = "regex-2024.5.15-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:16093f563098448ff6b1fa68170e4acbef94e6b6a4e25e10eae8598bb1694b5d"},
+    {file = "regex-2024.5.15-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:e38a7d4e8f633a33b4c7350fbd8bad3b70bf81439ac67ac38916c4a86b465456"},
+    {file = "regex-2024.5.15-cp39-cp39-win32.whl", hash = "sha256:71a455a3c584a88f654b64feccc1e25876066c4f5ef26cd6dd711308aa538694"},
+    {file = "regex-2024.5.15-cp39-cp39-win_amd64.whl", hash = "sha256:cab12877a9bdafde5500206d1020a584355a97884dfd388af3699e9137bf7388"},
+    {file = "regex-2024.5.15.tar.gz", hash = "sha256:d3ee02d9e5f482cc8309134a91eeaacbdd2261ba111b0fef3748eeb4913e6a2c"},
 ]
 
 [[package]]
 name = "requests"
-version = "2.31.0"
+version = "2.32.3"
 description = "Python HTTP for Humans."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "requests-2.31.0-py3-none-any.whl", hash = "sha256:58cd2187c01e70e6e26505bca751777aa9f2ee0b7f4300988b709f44e013003f"},
-    {file = "requests-2.31.0.tar.gz", hash = "sha256:942c5a758f98d790eaed1a29cb6eefc7ffb0d1cf7af05c3d2791656dbd6ad1e1"},
+    {file = "requests-2.32.3-py3-none-any.whl", hash = "sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6"},
+    {file = "requests-2.32.3.tar.gz", hash = "sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760"},
 ]
 
 [package.dependencies]
@@ -7078,6 +8005,34 @@ requests = ">=2.0.0"
 [package.extras]
 rsa = ["oauthlib[signedtoken] (>=3.0.0)"]
 
+[[package]]
+name = "requests-toolbelt"
+version = "1.0.0"
+description = "A utility belt for advanced users of python-requests"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+files = [
+    {file = "requests-toolbelt-1.0.0.tar.gz", hash = "sha256:7681a0a3d047012b5bdc0ee37d7f8f07ebe76ab08caeccfc3921ce23c88d5bc6"},
+    {file = "requests_toolbelt-1.0.0-py2.py3-none-any.whl", hash = "sha256:cccfdd665f0a24fcf4726e690f65639d272bb0637b9b92dfd91a5568ccf6bd06"},
+]
+
+[package.dependencies]
+requests = ">=2.0.1,<3.0.0"
+
+[[package]]
+name = "respx"
+version = "0.21.1"
+description = "A utility for mocking out the Python HTTPX and HTTP Core libraries."
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "respx-0.21.1-py2.py3-none-any.whl", hash = "sha256:05f45de23f0c785862a2c92a3e173916e8ca88e4caad715dd5f68584d6053c20"},
+    {file = "respx-0.21.1.tar.gz", hash = "sha256:0bd7fe21bfaa52106caa1223ce61224cf30786985f17c63c5d71eff0307ee8af"},
+]
+
+[package.dependencies]
+httpx = ">=0.21.0"
+
 [[package]]
 name = "rich"
 version = "13.7.1"
@@ -7110,49 +8065,30 @@ files = [
 [package.dependencies]
 pyasn1 = ">=0.1.3"
 
-[[package]]
-name = "rtfde"
-version = "0.1.1"
-description = "A library for extracting HTML content from RTF encapsulated HTML as commonly found in the exchange MSG email format."
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "RTFDE-0.1.1-py3-none-any.whl", hash = "sha256:ea7ab0e0b9d4af08415f5017ecff91d74e24216a5e4e4682155cedc478035e99"},
-    {file = "RTFDE-0.1.1.tar.gz", hash = "sha256:9e43485e79b2dd1018127735d8134f65d2a9d73af314d2a101f10346333b241e"},
-]
-
-[package.dependencies]
-lark = "1.1.8"
-oletools = ">=0.56"
-
-[package.extras]
-dev = ["coverage (>=7.2.2)", "lxml (>=4.6)", "mypy (>=1.1.1)", "pdoc3 (>=0.10.0)"]
-msg-parse = ["extract-msg (>=0.27)"]
-
 [[package]]
 name = "ruff"
-version = "0.2.2"
+version = "0.4.10"
 description = "An extremely fast Python linter and code formatter, written in Rust."
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "ruff-0.2.2-py3-none-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl", hash = "sha256:0a9efb032855ffb3c21f6405751d5e147b0c6b631e3ca3f6b20f917572b97eb6"},
-    {file = "ruff-0.2.2-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:d450b7fbff85913f866a5384d8912710936e2b96da74541c82c1b458472ddb39"},
-    {file = "ruff-0.2.2-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ecd46e3106850a5c26aee114e562c329f9a1fbe9e4821b008c4404f64ff9ce73"},
-    {file = "ruff-0.2.2-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5e22676a5b875bd72acd3d11d5fa9075d3a5f53b877fe7b4793e4673499318ba"},
-    {file = "ruff-0.2.2-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1695700d1e25a99d28f7a1636d85bafcc5030bba9d0578c0781ba1790dbcf51c"},
-    {file = "ruff-0.2.2-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:b0c232af3d0bd8f521806223723456ffebf8e323bd1e4e82b0befb20ba18388e"},
-    {file = "ruff-0.2.2-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f63d96494eeec2fc70d909393bcd76c69f35334cdbd9e20d089fb3f0640216ca"},
-    {file = "ruff-0.2.2-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:6a61ea0ff048e06de273b2e45bd72629f470f5da8f71daf09fe481278b175001"},
-    {file = "ruff-0.2.2-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5e1439c8f407e4f356470e54cdecdca1bd5439a0673792dbe34a2b0a551a2fe3"},
-    {file = "ruff-0.2.2-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:940de32dc8853eba0f67f7198b3e79bc6ba95c2edbfdfac2144c8235114d6726"},
-    {file = "ruff-0.2.2-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:0c126da55c38dd917621552ab430213bdb3273bb10ddb67bc4b761989210eb6e"},
-    {file = "ruff-0.2.2-py3-none-musllinux_1_2_i686.whl", hash = "sha256:3b65494f7e4bed2e74110dac1f0d17dc8e1f42faaa784e7c58a98e335ec83d7e"},
-    {file = "ruff-0.2.2-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:1ec49be4fe6ddac0503833f3ed8930528e26d1e60ad35c2446da372d16651ce9"},
-    {file = "ruff-0.2.2-py3-none-win32.whl", hash = "sha256:d920499b576f6c68295bc04e7b17b6544d9d05f196bb3aac4358792ef6f34325"},
-    {file = "ruff-0.2.2-py3-none-win_amd64.whl", hash = "sha256:cc9a91ae137d687f43a44c900e5d95e9617cb37d4c989e462980ba27039d239d"},
-    {file = "ruff-0.2.2-py3-none-win_arm64.whl", hash = "sha256:c9d15fc41e6054bfc7200478720570078f0b41c9ae4f010bcc16bd6f4d1aacdd"},
-    {file = "ruff-0.2.2.tar.gz", hash = "sha256:e62ed7f36b3068a30ba39193a14274cd706bc486fad521276458022f7bccb31d"},
+    {file = "ruff-0.4.10-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:5c2c4d0859305ac5a16310eec40e4e9a9dec5dcdfbe92697acd99624e8638dac"},
+    {file = "ruff-0.4.10-py3-none-macosx_11_0_arm64.whl", hash = "sha256:a79489607d1495685cdd911a323a35871abfb7a95d4f98fc6f85e799227ac46e"},
+    {file = "ruff-0.4.10-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b1dd1681dfa90a41b8376a61af05cc4dc5ff32c8f14f5fe20dba9ff5deb80cd6"},
+    {file = "ruff-0.4.10-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c75c53bb79d71310dc79fb69eb4902fba804a81f374bc86a9b117a8d077a1784"},
+    {file = "ruff-0.4.10-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:18238c80ee3d9100d3535d8eb15a59c4a0753b45cc55f8bf38f38d6a597b9739"},
+    {file = "ruff-0.4.10-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:d8f71885bce242da344989cae08e263de29752f094233f932d4f5cfb4ef36a81"},
+    {file = "ruff-0.4.10-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:330421543bd3222cdfec481e8ff3460e8702ed1e58b494cf9d9e4bf90db52b9d"},
+    {file = "ruff-0.4.10-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9e9b6fb3a37b772628415b00c4fc892f97954275394ed611056a4b8a2631365e"},
+    {file = "ruff-0.4.10-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0f54c481b39a762d48f64d97351048e842861c6662d63ec599f67d515cb417f6"},
+    {file = "ruff-0.4.10-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:67fe086b433b965c22de0b4259ddfe6fa541c95bf418499bedb9ad5fb8d1c631"},
+    {file = "ruff-0.4.10-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:acfaaab59543382085f9eb51f8e87bac26bf96b164839955f244d07125a982ef"},
+    {file = "ruff-0.4.10-py3-none-musllinux_1_2_i686.whl", hash = "sha256:3cea07079962b2941244191569cf3a05541477286f5cafea638cd3aa94b56815"},
+    {file = "ruff-0.4.10-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:338a64ef0748f8c3a80d7f05785930f7965d71ca260904a9321d13be24b79695"},
+    {file = "ruff-0.4.10-py3-none-win32.whl", hash = "sha256:ffe3cd2f89cb54561c62e5fa20e8f182c0a444934bf430515a4b422f1ab7b7ca"},
+    {file = "ruff-0.4.10-py3-none-win_amd64.whl", hash = "sha256:67f67cef43c55ffc8cc59e8e0b97e9e60b4837c8f21e8ab5ffd5d66e196e25f7"},
+    {file = "ruff-0.4.10-py3-none-win_arm64.whl", hash = "sha256:dd1fcee327c20addac7916ca4e2653fbbf2e8388d8a6477ce5b4e986b68ae6c0"},
+    {file = "ruff-0.4.10.tar.gz", hash = "sha256:3aa4f2bc388a30d346c56524f7cacca85945ba124945fe489952aadb6b5cd804"},
 ]
 
 [[package]]
@@ -7296,78 +8232,81 @@ torch = ["safetensors[numpy]", "torch (>=1.10)"]
 
 [[package]]
 name = "scikit-learn"
-version = "1.4.2"
+version = "1.5.0"
 description = "A set of python modules for machine learning and data mining"
 optional = true
 python-versions = ">=3.9"
 files = [
-    {file = "scikit-learn-1.4.2.tar.gz", hash = "sha256:daa1c471d95bad080c6e44b4946c9390a4842adc3082572c20e4f8884e39e959"},
-    {file = "scikit_learn-1.4.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8539a41b3d6d1af82eb629f9c57f37428ff1481c1e34dddb3b9d7af8ede67ac5"},
-    {file = "scikit_learn-1.4.2-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:68b8404841f944a4a1459b07198fa2edd41a82f189b44f3e1d55c104dbc2e40c"},
-    {file = "scikit_learn-1.4.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:81bf5d8bbe87643103334032dd82f7419bc8c8d02a763643a6b9a5c7288c5054"},
-    {file = "scikit_learn-1.4.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:36f0ea5d0f693cb247a073d21a4123bdf4172e470e6d163c12b74cbb1536cf38"},
-    {file = "scikit_learn-1.4.2-cp310-cp310-win_amd64.whl", hash = "sha256:87440e2e188c87db80ea4023440923dccbd56fbc2d557b18ced00fef79da0727"},
-    {file = "scikit_learn-1.4.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:45dee87ac5309bb82e3ea633955030df9bbcb8d2cdb30383c6cd483691c546cc"},
-    {file = "scikit_learn-1.4.2-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:1d0b25d9c651fd050555aadd57431b53d4cf664e749069da77f3d52c5ad14b3b"},
-    {file = "scikit_learn-1.4.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b0203c368058ab92efc6168a1507d388d41469c873e96ec220ca8e74079bf62e"},
-    {file = "scikit_learn-1.4.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:44c62f2b124848a28fd695db5bc4da019287abf390bfce602ddc8aa1ec186aae"},
-    {file = "scikit_learn-1.4.2-cp311-cp311-win_amd64.whl", hash = "sha256:5cd7b524115499b18b63f0c96f4224eb885564937a0b3477531b2b63ce331904"},
-    {file = "scikit_learn-1.4.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:90378e1747949f90c8f385898fff35d73193dfcaec3dd75d6b542f90c4e89755"},
-    {file = "scikit_learn-1.4.2-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:ff4effe5a1d4e8fed260a83a163f7dbf4f6087b54528d8880bab1d1377bd78be"},
-    {file = "scikit_learn-1.4.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:671e2f0c3f2c15409dae4f282a3a619601fa824d2c820e5b608d9d775f91780c"},
-    {file = "scikit_learn-1.4.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d36d0bc983336bbc1be22f9b686b50c964f593c8a9a913a792442af9bf4f5e68"},
-    {file = "scikit_learn-1.4.2-cp312-cp312-win_amd64.whl", hash = "sha256:d762070980c17ba3e9a4a1e043ba0518ce4c55152032f1af0ca6f39b376b5928"},
-    {file = "scikit_learn-1.4.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:d9993d5e78a8148b1d0fdf5b15ed92452af5581734129998c26f481c46586d68"},
-    {file = "scikit_learn-1.4.2-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:426d258fddac674fdf33f3cb2d54d26f49406e2599dbf9a32b4d1696091d4256"},
-    {file = "scikit_learn-1.4.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5460a1a5b043ae5ae4596b3126a4ec33ccba1b51e7ca2c5d36dac2169f62ab1d"},
-    {file = "scikit_learn-1.4.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:49d64ef6cb8c093d883e5a36c4766548d974898d378e395ba41a806d0e824db8"},
-    {file = "scikit_learn-1.4.2-cp39-cp39-win_amd64.whl", hash = "sha256:c97a50b05c194be9146d61fe87dbf8eac62b203d9e87a3ccc6ae9aed2dfaf361"},
+    {file = "scikit_learn-1.5.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:12e40ac48555e6b551f0a0a5743cc94cc5a765c9513fe708e01f0aa001da2801"},
+    {file = "scikit_learn-1.5.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:f405c4dae288f5f6553b10c4ac9ea7754d5180ec11e296464adb5d6ac68b6ef5"},
+    {file = "scikit_learn-1.5.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:df8ccabbf583315f13160a4bb06037bde99ea7d8211a69787a6b7c5d4ebb6fc3"},
+    {file = "scikit_learn-1.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2c75ea812cd83b1385bbfa94ae971f0d80adb338a9523f6bbcb5e0b0381151d4"},
+    {file = "scikit_learn-1.5.0-cp310-cp310-win_amd64.whl", hash = "sha256:a90c5da84829a0b9b4bf00daf62754b2be741e66b5946911f5bdfaa869fcedd6"},
+    {file = "scikit_learn-1.5.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:2a65af2d8a6cce4e163a7951a4cfbfa7fceb2d5c013a4b593686c7f16445cf9d"},
+    {file = "scikit_learn-1.5.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:4c0c56c3005f2ec1db3787aeaabefa96256580678cec783986836fc64f8ff622"},
+    {file = "scikit_learn-1.5.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1f77547165c00625551e5c250cefa3f03f2fc92c5e18668abd90bfc4be2e0bff"},
+    {file = "scikit_learn-1.5.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:118a8d229a41158c9f90093e46b3737120a165181a1b58c03461447aa4657415"},
+    {file = "scikit_learn-1.5.0-cp311-cp311-win_amd64.whl", hash = "sha256:a03b09f9f7f09ffe8c5efffe2e9de1196c696d811be6798ad5eddf323c6f4d40"},
+    {file = "scikit_learn-1.5.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:460806030c666addee1f074788b3978329a5bfdc9b7d63e7aad3f6d45c67a210"},
+    {file = "scikit_learn-1.5.0-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:1b94d6440603752b27842eda97f6395f570941857456c606eb1d638efdb38184"},
+    {file = "scikit_learn-1.5.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d82c2e573f0f2f2f0be897e7a31fcf4e73869247738ab8c3ce7245549af58ab8"},
+    {file = "scikit_learn-1.5.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a3a10e1d9e834e84d05e468ec501a356226338778769317ee0b84043c0d8fb06"},
+    {file = "scikit_learn-1.5.0-cp312-cp312-win_amd64.whl", hash = "sha256:855fc5fa8ed9e4f08291203af3d3e5fbdc4737bd617a371559aaa2088166046e"},
+    {file = "scikit_learn-1.5.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:40fb7d4a9a2db07e6e0cae4dc7bdbb8fada17043bac24104d8165e10e4cff1a2"},
+    {file = "scikit_learn-1.5.0-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:47132440050b1c5beb95f8ba0b2402bbd9057ce96ec0ba86f2f445dd4f34df67"},
+    {file = "scikit_learn-1.5.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:174beb56e3e881c90424e21f576fa69c4ffcf5174632a79ab4461c4c960315ac"},
+    {file = "scikit_learn-1.5.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:261fe334ca48f09ed64b8fae13f9b46cc43ac5f580c4a605cbb0a517456c8f71"},
+    {file = "scikit_learn-1.5.0-cp39-cp39-win_amd64.whl", hash = "sha256:057b991ac64b3e75c9c04b5f9395eaf19a6179244c089afdebaad98264bff37c"},
+    {file = "scikit_learn-1.5.0.tar.gz", hash = "sha256:789e3db01c750ed6d496fa2db7d50637857b451e57bcae863bff707c1247bef7"},
 ]
 
 [package.dependencies]
 joblib = ">=1.2.0"
 numpy = ">=1.19.5"
 scipy = ">=1.6.0"
-threadpoolctl = ">=2.0.0"
+threadpoolctl = ">=3.1.0"
 
 [package.extras]
-benchmark = ["matplotlib (>=3.3.4)", "memory-profiler (>=0.57.0)", "pandas (>=1.1.5)"]
-docs = ["Pillow (>=7.1.2)", "matplotlib (>=3.3.4)", "memory-profiler (>=0.57.0)", "numpydoc (>=1.2.0)", "pandas (>=1.1.5)", "plotly (>=5.14.0)", "pooch (>=1.6.0)", "scikit-image (>=0.17.2)", "seaborn (>=0.9.0)", "sphinx (>=6.0.0)", "sphinx-copybutton (>=0.5.2)", "sphinx-gallery (>=0.15.0)", "sphinx-prompt (>=1.3.0)", "sphinxext-opengraph (>=0.4.2)"]
+benchmark = ["matplotlib (>=3.3.4)", "memory_profiler (>=0.57.0)", "pandas (>=1.1.5)"]
+build = ["cython (>=3.0.10)", "meson-python (>=0.15.0)", "numpy (>=1.19.5)", "scipy (>=1.6.0)"]
+docs = ["Pillow (>=7.1.2)", "matplotlib (>=3.3.4)", "memory_profiler (>=0.57.0)", "numpydoc (>=1.2.0)", "pandas (>=1.1.5)", "plotly (>=5.14.0)", "polars (>=0.20.23)", "pooch (>=1.6.0)", "scikit-image (>=0.17.2)", "seaborn (>=0.9.0)", "sphinx (>=6.0.0)", "sphinx-copybutton (>=0.5.2)", "sphinx-gallery (>=0.15.0)", "sphinx-prompt (>=1.3.0)", "sphinxext-opengraph (>=0.4.2)"]
 examples = ["matplotlib (>=3.3.4)", "pandas (>=1.1.5)", "plotly (>=5.14.0)", "pooch (>=1.6.0)", "scikit-image (>=0.17.2)", "seaborn (>=0.9.0)"]
-tests = ["black (>=23.3.0)", "matplotlib (>=3.3.4)", "mypy (>=1.3)", "numpydoc (>=1.2.0)", "pandas (>=1.1.5)", "polars (>=0.19.12)", "pooch (>=1.6.0)", "pyamg (>=4.0.0)", "pyarrow (>=12.0.0)", "pytest (>=7.1.2)", "pytest-cov (>=2.9.0)", "ruff (>=0.0.272)", "scikit-image (>=0.17.2)"]
+install = ["joblib (>=1.2.0)", "numpy (>=1.19.5)", "scipy (>=1.6.0)", "threadpoolctl (>=3.1.0)"]
+maintenance = ["conda-lock (==2.5.6)"]
+tests = ["black (>=24.3.0)", "matplotlib (>=3.3.4)", "mypy (>=1.9)", "numpydoc (>=1.2.0)", "pandas (>=1.1.5)", "polars (>=0.20.23)", "pooch (>=1.6.0)", "pyamg (>=4.0.0)", "pyarrow (>=12.0.0)", "pytest (>=7.1.2)", "pytest-cov (>=2.9.0)", "ruff (>=0.2.1)", "scikit-image (>=0.17.2)"]
 
 [[package]]
 name = "scipy"
-version = "1.13.0"
+version = "1.13.1"
 description = "Fundamental algorithms for scientific computing in Python"
 optional = true
 python-versions = ">=3.9"
 files = [
-    {file = "scipy-1.13.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ba419578ab343a4e0a77c0ef82f088238a93eef141b2b8017e46149776dfad4d"},
-    {file = "scipy-1.13.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:22789b56a999265431c417d462e5b7f2b487e831ca7bef5edeb56efe4c93f86e"},
-    {file = "scipy-1.13.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:05f1432ba070e90d42d7fd836462c50bf98bd08bed0aa616c359eed8a04e3922"},
-    {file = "scipy-1.13.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b8434f6f3fa49f631fae84afee424e2483289dfc30a47755b4b4e6b07b2633a4"},
-    {file = "scipy-1.13.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:dcbb9ea49b0167de4167c40eeee6e167caeef11effb0670b554d10b1e693a8b9"},
-    {file = "scipy-1.13.0-cp310-cp310-win_amd64.whl", hash = "sha256:1d2f7bb14c178f8b13ebae93f67e42b0a6b0fc50eba1cd8021c9b6e08e8fb1cd"},
-    {file = "scipy-1.13.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:0fbcf8abaf5aa2dc8d6400566c1a727aed338b5fe880cde64907596a89d576fa"},
-    {file = "scipy-1.13.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:5e4a756355522eb60fcd61f8372ac2549073c8788f6114449b37e9e8104f15a5"},
-    {file = "scipy-1.13.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b5acd8e1dbd8dbe38d0004b1497019b2dbbc3d70691e65d69615f8a7292865d7"},
-    {file = "scipy-1.13.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9ff7dad5d24a8045d836671e082a490848e8639cabb3dbdacb29f943a678683d"},
-    {file = "scipy-1.13.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:4dca18c3ffee287ddd3bc8f1dabaf45f5305c5afc9f8ab9cbfab855e70b2df5c"},
-    {file = "scipy-1.13.0-cp311-cp311-win_amd64.whl", hash = "sha256:a2f471de4d01200718b2b8927f7d76b5d9bde18047ea0fa8bd15c5ba3f26a1d6"},
-    {file = "scipy-1.13.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:d0de696f589681c2802f9090fff730c218f7c51ff49bf252b6a97ec4a5d19e8b"},
-    {file = "scipy-1.13.0-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:b2a3ff461ec4756b7e8e42e1c681077349a038f0686132d623fa404c0bee2551"},
-    {file = "scipy-1.13.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6bf9fe63e7a4bf01d3645b13ff2aa6dea023d38993f42aaac81a18b1bda7a82a"},
-    {file = "scipy-1.13.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1e7626dfd91cdea5714f343ce1176b6c4745155d234f1033584154f60ef1ff42"},
-    {file = "scipy-1.13.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:109d391d720fcebf2fbe008621952b08e52907cf4c8c7efc7376822151820820"},
-    {file = "scipy-1.13.0-cp312-cp312-win_amd64.whl", hash = "sha256:8930ae3ea371d6b91c203b1032b9600d69c568e537b7988a3073dfe4d4774f21"},
-    {file = "scipy-1.13.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:5407708195cb38d70fd2d6bb04b1b9dd5c92297d86e9f9daae1576bd9e06f602"},
-    {file = "scipy-1.13.0-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:ac38c4c92951ac0f729c4c48c9e13eb3675d9986cc0c83943784d7390d540c78"},
-    {file = "scipy-1.13.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:09c74543c4fbeb67af6ce457f6a6a28e5d3739a87f62412e4a16e46f164f0ae5"},
-    {file = "scipy-1.13.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:28e286bf9ac422d6beb559bc61312c348ca9b0f0dae0d7c5afde7f722d6ea13d"},
-    {file = "scipy-1.13.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:33fde20efc380bd23a78a4d26d59fc8704e9b5fd9b08841693eb46716ba13d86"},
-    {file = "scipy-1.13.0-cp39-cp39-win_amd64.whl", hash = "sha256:45c08bec71d3546d606989ba6e7daa6f0992918171e2a6f7fbedfa7361c2de1e"},
-    {file = "scipy-1.13.0.tar.gz", hash = "sha256:58569af537ea29d3f78e5abd18398459f195546bb3be23d16677fb26616cc11e"},
+    {file = "scipy-1.13.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:20335853b85e9a49ff7572ab453794298bcf0354d8068c5f6775a0eabf350aca"},
+    {file = "scipy-1.13.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:d605e9c23906d1994f55ace80e0125c587f96c020037ea6aa98d01b4bd2e222f"},
+    {file = "scipy-1.13.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cfa31f1def5c819b19ecc3a8b52d28ffdcc7ed52bb20c9a7589669dd3c250989"},
+    {file = "scipy-1.13.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f26264b282b9da0952a024ae34710c2aff7d27480ee91a2e82b7b7073c24722f"},
+    {file = "scipy-1.13.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:eccfa1906eacc02de42d70ef4aecea45415f5be17e72b61bafcfd329bdc52e94"},
+    {file = "scipy-1.13.1-cp310-cp310-win_amd64.whl", hash = "sha256:2831f0dc9c5ea9edd6e51e6e769b655f08ec6db6e2e10f86ef39bd32eb11da54"},
+    {file = "scipy-1.13.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:27e52b09c0d3a1d5b63e1105f24177e544a222b43611aaf5bc44d4a0979e32f9"},
+    {file = "scipy-1.13.1-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:54f430b00f0133e2224c3ba42b805bfd0086fe488835effa33fa291561932326"},
+    {file = "scipy-1.13.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e89369d27f9e7b0884ae559a3a956e77c02114cc60a6058b4e5011572eea9299"},
+    {file = "scipy-1.13.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a78b4b3345f1b6f68a763c6e25c0c9a23a9fd0f39f5f3d200efe8feda560a5fa"},
+    {file = "scipy-1.13.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:45484bee6d65633752c490404513b9ef02475b4284c4cfab0ef946def50b3f59"},
+    {file = "scipy-1.13.1-cp311-cp311-win_amd64.whl", hash = "sha256:5713f62f781eebd8d597eb3f88b8bf9274e79eeabf63afb4a737abc6c84ad37b"},
+    {file = "scipy-1.13.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:5d72782f39716b2b3509cd7c33cdc08c96f2f4d2b06d51e52fb45a19ca0c86a1"},
+    {file = "scipy-1.13.1-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:017367484ce5498445aade74b1d5ab377acdc65e27095155e448c88497755a5d"},
+    {file = "scipy-1.13.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:949ae67db5fa78a86e8fa644b9a6b07252f449dcf74247108c50e1d20d2b4627"},
+    {file = "scipy-1.13.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:de3ade0e53bc1f21358aa74ff4830235d716211d7d077e340c7349bc3542e884"},
+    {file = "scipy-1.13.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:2ac65fb503dad64218c228e2dc2d0a0193f7904747db43014645ae139c8fad16"},
+    {file = "scipy-1.13.1-cp312-cp312-win_amd64.whl", hash = "sha256:cdd7dacfb95fea358916410ec61bbc20440f7860333aee6d882bb8046264e949"},
+    {file = "scipy-1.13.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:436bbb42a94a8aeef855d755ce5a465479c721e9d684de76bf61a62e7c2b81d5"},
+    {file = "scipy-1.13.1-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:8335549ebbca860c52bf3d02f80784e91a004b71b059e3eea9678ba994796a24"},
+    {file = "scipy-1.13.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d533654b7d221a6a97304ab63c41c96473ff04459e404b83275b60aa8f4b7004"},
+    {file = "scipy-1.13.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:637e98dcf185ba7f8e663e122ebf908c4702420477ae52a04f9908707456ba4d"},
+    {file = "scipy-1.13.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:a014c2b3697bde71724244f63de2476925596c24285c7a637364761f8710891c"},
+    {file = "scipy-1.13.1-cp39-cp39-win_amd64.whl", hash = "sha256:392e4ec766654852c25ebad4f64e4e584cf19820b980bc04960bca0b0cd6eaa2"},
+    {file = "scipy-1.13.1.tar.gz", hash = "sha256:095a87a0312b08dfd6a6155cbbd310a8c51800fc931b8c0b84003014b874ed3c"},
 ]
 
 [package.dependencies]
@@ -7402,21 +8341,72 @@ transformers = ">=4.34.0,<5.0.0"
 [package.extras]
 dev = ["pre-commit", "pytest", "ruff (>=0.3.0)"]
 
+[[package]]
+name = "sentry-sdk"
+version = "2.6.0"
+description = "Python client for Sentry (https://sentry.io)"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "sentry_sdk-2.6.0-py2.py3-none-any.whl", hash = "sha256:422b91cb49378b97e7e8d0e8d5a1069df23689d45262b86f54988a7db264e874"},
+    {file = "sentry_sdk-2.6.0.tar.gz", hash = "sha256:65cc07e9c6995c5e316109f138570b32da3bd7ff8d0d0ee4aaf2628c3dd8127d"},
+]
+
+[package.dependencies]
+certifi = "*"
+fastapi = {version = ">=0.79.0", optional = true, markers = "extra == \"fastapi\""}
+loguru = {version = ">=0.5", optional = true, markers = "extra == \"loguru\""}
+urllib3 = ">=1.26.11"
+
+[package.extras]
+aiohttp = ["aiohttp (>=3.5)"]
+anthropic = ["anthropic (>=0.16)"]
+arq = ["arq (>=0.23)"]
+asyncpg = ["asyncpg (>=0.23)"]
+beam = ["apache-beam (>=2.12)"]
+bottle = ["bottle (>=0.12.13)"]
+celery = ["celery (>=3)"]
+celery-redbeat = ["celery-redbeat (>=2)"]
+chalice = ["chalice (>=1.16.0)"]
+clickhouse-driver = ["clickhouse-driver (>=0.2.0)"]
+django = ["django (>=1.8)"]
+falcon = ["falcon (>=1.4)"]
+fastapi = ["fastapi (>=0.79.0)"]
+flask = ["blinker (>=1.1)", "flask (>=0.11)", "markupsafe"]
+grpcio = ["grpcio (>=1.21.1)", "protobuf (>=3.8.0)"]
+httpx = ["httpx (>=0.16.0)"]
+huey = ["huey (>=2)"]
+huggingface-hub = ["huggingface-hub (>=0.22)"]
+langchain = ["langchain (>=0.0.210)"]
+loguru = ["loguru (>=0.5)"]
+openai = ["openai (>=1.0.0)", "tiktoken (>=0.3.0)"]
+opentelemetry = ["opentelemetry-distro (>=0.35b0)"]
+opentelemetry-experimental = ["opentelemetry-distro (>=0.40b0,<1.0)", "opentelemetry-instrumentation-aiohttp-client (>=0.40b0,<1.0)", "opentelemetry-instrumentation-django (>=0.40b0,<1.0)", "opentelemetry-instrumentation-fastapi (>=0.40b0,<1.0)", "opentelemetry-instrumentation-flask (>=0.40b0,<1.0)", "opentelemetry-instrumentation-requests (>=0.40b0,<1.0)", "opentelemetry-instrumentation-sqlite3 (>=0.40b0,<1.0)", "opentelemetry-instrumentation-urllib (>=0.40b0,<1.0)"]
+pure-eval = ["asttokens", "executing", "pure-eval"]
+pymongo = ["pymongo (>=3.1)"]
+pyspark = ["pyspark (>=2.4.4)"]
+quart = ["blinker (>=1.1)", "quart (>=0.16.1)"]
+rq = ["rq (>=0.6)"]
+sanic = ["sanic (>=0.8)"]
+sqlalchemy = ["sqlalchemy (>=1.2)"]
+starlette = ["starlette (>=0.19.1)"]
+starlite = ["starlite (>=1.48)"]
+tornado = ["tornado (>=5)"]
+
 [[package]]
 name = "setuptools"
-version = "69.5.1"
+version = "70.1.0"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "setuptools-69.5.1-py3-none-any.whl", hash = "sha256:c636ac361bc47580504644275c9ad802c50415c7522212252c033bd15f301f32"},
-    {file = "setuptools-69.5.1.tar.gz", hash = "sha256:6c1fccdac05a97e598fb0ae3bbed5904ccb317337a51139dcd51453611bbb987"},
+    {file = "setuptools-70.1.0-py3-none-any.whl", hash = "sha256:d9b8b771455a97c8a9f3ab3448ebe0b29b5e105f1228bba41028be116985a267"},
+    {file = "setuptools-70.1.0.tar.gz", hash = "sha256:01a1e793faa5bd89abc851fa15d0a0db26f160890c7102cd8dce643e886b47f5"},
 ]
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
-testing = ["build[virtualenv]", "filelock (>=3.4.0)", "importlib-metadata", "ini2toml[lite] (>=0.9)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "mypy (==1.9)", "packaging (>=23.2)", "pip (>=19.1)", "pytest (>=6,!=8.1.1)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-home (>=0.5)", "pytest-mypy", "pytest-perf", "pytest-ruff (>=0.2.1)", "pytest-timeout", "pytest-xdist (>=3)", "tomli", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
-testing-integration = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "packaging (>=23.2)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
+testing = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "importlib-metadata", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "jaraco.test", "mypy (==1.10.0)", "packaging (>=23.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.1)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-home (>=0.5)", "pytest-mypy", "pytest-perf", "pytest-ruff (>=0.3.2)", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
 
 [[package]]
 name = "shapely"
@@ -7475,6 +8465,17 @@ numpy = ">=1.14,<3"
 docs = ["matplotlib", "numpydoc (==1.1.*)", "sphinx", "sphinx-book-theme", "sphinx-remove-toctrees"]
 test = ["pytest", "pytest-cov"]
 
+[[package]]
+name = "shellingham"
+version = "1.5.4"
+description = "Tool to Detect Surrounding Shell"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "shellingham-1.5.4-py2.py3-none-any.whl", hash = "sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686"},
+    {file = "shellingham-1.5.4.tar.gz", hash = "sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de"},
+]
+
 [[package]]
 name = "six"
 version = "1.16.0"
@@ -7486,6 +8487,17 @@ files = [
     {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
 ]
 
+[[package]]
+name = "smmap"
+version = "5.0.1"
+description = "A pure Python implementation of a sliding window memory map manager"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "smmap-5.0.1-py3-none-any.whl", hash = "sha256:e6d8668fa5f93e706934a62d7b4db19c8d9eb8cf2adbb75ef1b675aa332b69da"},
+    {file = "smmap-5.0.1.tar.gz", hash = "sha256:dceeb6c0028fdb6734471eb07c0cd2aae706ccaecab45965ee83f11c8d3b1f62"},
+]
+
 [[package]]
 name = "sniffio"
 version = "1.3.1"
@@ -7510,64 +8522,64 @@ files = [
 
 [[package]]
 name = "sqlalchemy"
-version = "2.0.30"
+version = "2.0.31"
 description = "Database Abstraction Library"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "SQLAlchemy-2.0.30-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:3b48154678e76445c7ded1896715ce05319f74b1e73cf82d4f8b59b46e9c0ddc"},
-    {file = "SQLAlchemy-2.0.30-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2753743c2afd061bb95a61a51bbb6a1a11ac1c44292fad898f10c9839a7f75b2"},
-    {file = "SQLAlchemy-2.0.30-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a7bfc726d167f425d4c16269a9a10fe8630ff6d14b683d588044dcef2d0f6be7"},
-    {file = "SQLAlchemy-2.0.30-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c4f61ada6979223013d9ab83a3ed003ded6959eae37d0d685db2c147e9143797"},
-    {file = "SQLAlchemy-2.0.30-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:3a365eda439b7a00732638f11072907c1bc8e351c7665e7e5da91b169af794af"},
-    {file = "SQLAlchemy-2.0.30-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:bba002a9447b291548e8d66fd8c96a6a7ed4f2def0bb155f4f0a1309fd2735d5"},
-    {file = "SQLAlchemy-2.0.30-cp310-cp310-win32.whl", hash = "sha256:0138c5c16be3600923fa2169532205d18891b28afa817cb49b50e08f62198bb8"},
-    {file = "SQLAlchemy-2.0.30-cp310-cp310-win_amd64.whl", hash = "sha256:99650e9f4cf3ad0d409fed3eec4f071fadd032e9a5edc7270cd646a26446feeb"},
-    {file = "SQLAlchemy-2.0.30-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:955991a09f0992c68a499791a753523f50f71a6885531568404fa0f231832aa0"},
-    {file = "SQLAlchemy-2.0.30-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:f69e4c756ee2686767eb80f94c0125c8b0a0b87ede03eacc5c8ae3b54b99dc46"},
-    {file = "SQLAlchemy-2.0.30-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:69c9db1ce00e59e8dd09d7bae852a9add716efdc070a3e2068377e6ff0d6fdaa"},
-    {file = "SQLAlchemy-2.0.30-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a1429a4b0f709f19ff3b0cf13675b2b9bfa8a7e79990003207a011c0db880a13"},
-    {file = "SQLAlchemy-2.0.30-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:efedba7e13aa9a6c8407c48facfdfa108a5a4128e35f4c68f20c3407e4376aa9"},
-    {file = "SQLAlchemy-2.0.30-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:16863e2b132b761891d6c49f0a0f70030e0bcac4fd208117f6b7e053e68668d0"},
-    {file = "SQLAlchemy-2.0.30-cp311-cp311-win32.whl", hash = "sha256:2ecabd9ccaa6e914e3dbb2aa46b76dede7eadc8cbf1b8083c94d936bcd5ffb49"},
-    {file = "SQLAlchemy-2.0.30-cp311-cp311-win_amd64.whl", hash = "sha256:0b3f4c438e37d22b83e640f825ef0f37b95db9aa2d68203f2c9549375d0b2260"},
-    {file = "SQLAlchemy-2.0.30-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:5a79d65395ac5e6b0c2890935bad892eabb911c4aa8e8015067ddb37eea3d56c"},
-    {file = "SQLAlchemy-2.0.30-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:9a5baf9267b752390252889f0c802ea13b52dfee5e369527da229189b8bd592e"},
-    {file = "SQLAlchemy-2.0.30-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3cb5a646930c5123f8461f6468901573f334c2c63c795b9af350063a736d0134"},
-    {file = "SQLAlchemy-2.0.30-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:296230899df0b77dec4eb799bcea6fbe39a43707ce7bb166519c97b583cfcab3"},
-    {file = "SQLAlchemy-2.0.30-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:c62d401223f468eb4da32627bffc0c78ed516b03bb8a34a58be54d618b74d472"},
-    {file = "SQLAlchemy-2.0.30-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:3b69e934f0f2b677ec111b4d83f92dc1a3210a779f69bf905273192cf4ed433e"},
-    {file = "SQLAlchemy-2.0.30-cp312-cp312-win32.whl", hash = "sha256:77d2edb1f54aff37e3318f611637171e8ec71472f1fdc7348b41dcb226f93d90"},
-    {file = "SQLAlchemy-2.0.30-cp312-cp312-win_amd64.whl", hash = "sha256:b6c7ec2b1f4969fc19b65b7059ed00497e25f54069407a8701091beb69e591a5"},
-    {file = "SQLAlchemy-2.0.30-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:5a8e3b0a7e09e94be7510d1661339d6b52daf202ed2f5b1f9f48ea34ee6f2d57"},
-    {file = "SQLAlchemy-2.0.30-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b60203c63e8f984df92035610c5fb76d941254cf5d19751faab7d33b21e5ddc0"},
-    {file = "SQLAlchemy-2.0.30-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f1dc3eabd8c0232ee8387fbe03e0a62220a6f089e278b1f0aaf5e2d6210741ad"},
-    {file = "SQLAlchemy-2.0.30-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:40ad017c672c00b9b663fcfcd5f0864a0a97828e2ee7ab0c140dc84058d194cf"},
-    {file = "SQLAlchemy-2.0.30-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:e42203d8d20dc704604862977b1470a122e4892791fe3ed165f041e4bf447a1b"},
-    {file = "SQLAlchemy-2.0.30-cp37-cp37m-win32.whl", hash = "sha256:2a4f4da89c74435f2bc61878cd08f3646b699e7d2eba97144030d1be44e27584"},
-    {file = "SQLAlchemy-2.0.30-cp37-cp37m-win_amd64.whl", hash = "sha256:b6bf767d14b77f6a18b6982cbbf29d71bede087edae495d11ab358280f304d8e"},
-    {file = "SQLAlchemy-2.0.30-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:bc0c53579650a891f9b83fa3cecd4e00218e071d0ba00c4890f5be0c34887ed3"},
-    {file = "SQLAlchemy-2.0.30-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:311710f9a2ee235f1403537b10c7687214bb1f2b9ebb52702c5aa4a77f0b3af7"},
-    {file = "SQLAlchemy-2.0.30-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:408f8b0e2c04677e9c93f40eef3ab22f550fecb3011b187f66a096395ff3d9fd"},
-    {file = "SQLAlchemy-2.0.30-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:37a4b4fb0dd4d2669070fb05b8b8824afd0af57587393015baee1cf9890242d9"},
-    {file = "SQLAlchemy-2.0.30-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:a943d297126c9230719c27fcbbeab57ecd5d15b0bd6bfd26e91bfcfe64220621"},
-    {file = "SQLAlchemy-2.0.30-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:0a089e218654e740a41388893e090d2e2c22c29028c9d1353feb38638820bbeb"},
-    {file = "SQLAlchemy-2.0.30-cp38-cp38-win32.whl", hash = "sha256:fa561138a64f949f3e889eb9ab8c58e1504ab351d6cf55259dc4c248eaa19da6"},
-    {file = "SQLAlchemy-2.0.30-cp38-cp38-win_amd64.whl", hash = "sha256:7d74336c65705b986d12a7e337ba27ab2b9d819993851b140efdf029248e818e"},
-    {file = "SQLAlchemy-2.0.30-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:ae8c62fe2480dd61c532ccafdbce9b29dacc126fe8be0d9a927ca3e699b9491a"},
-    {file = "SQLAlchemy-2.0.30-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:2383146973a15435e4717f94c7509982770e3e54974c71f76500a0136f22810b"},
-    {file = "SQLAlchemy-2.0.30-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8409de825f2c3b62ab15788635ccaec0c881c3f12a8af2b12ae4910a0a9aeef6"},
-    {file = "SQLAlchemy-2.0.30-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0094c5dc698a5f78d3d1539853e8ecec02516b62b8223c970c86d44e7a80f6c7"},
-    {file = "SQLAlchemy-2.0.30-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:edc16a50f5e1b7a06a2dcc1f2205b0b961074c123ed17ebda726f376a5ab0953"},
-    {file = "SQLAlchemy-2.0.30-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:f7703c2010355dd28f53deb644a05fc30f796bd8598b43f0ba678878780b6e4c"},
-    {file = "SQLAlchemy-2.0.30-cp39-cp39-win32.whl", hash = "sha256:1f9a727312ff6ad5248a4367358e2cf7e625e98b1028b1d7ab7b806b7d757513"},
-    {file = "SQLAlchemy-2.0.30-cp39-cp39-win_amd64.whl", hash = "sha256:a0ef36b28534f2a5771191be6edb44cc2673c7b2edf6deac6562400288664221"},
-    {file = "SQLAlchemy-2.0.30-py3-none-any.whl", hash = "sha256:7108d569d3990c71e26a42f60474b4c02c8586c4681af5fd67e51a044fdea86a"},
-    {file = "SQLAlchemy-2.0.30.tar.gz", hash = "sha256:2b1708916730f4830bc69d6f49d37f7698b5bd7530aca7f04f785f8849e95255"},
-]
-
-[package.dependencies]
-greenlet = {version = "!=0.4.17", optional = true, markers = "platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\" or extra == \"asyncio\""}
+    {file = "SQLAlchemy-2.0.31-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f2a213c1b699d3f5768a7272de720387ae0122f1becf0901ed6eaa1abd1baf6c"},
+    {file = "SQLAlchemy-2.0.31-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9fea3d0884e82d1e33226935dac990b967bef21315cbcc894605db3441347443"},
+    {file = "SQLAlchemy-2.0.31-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f3ad7f221d8a69d32d197e5968d798217a4feebe30144986af71ada8c548e9fa"},
+    {file = "SQLAlchemy-2.0.31-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9f2bee229715b6366f86a95d497c347c22ddffa2c7c96143b59a2aa5cc9eebbc"},
+    {file = "SQLAlchemy-2.0.31-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:cd5b94d4819c0c89280b7c6109c7b788a576084bf0a480ae17c227b0bc41e109"},
+    {file = "SQLAlchemy-2.0.31-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:750900a471d39a7eeba57580b11983030517a1f512c2cb287d5ad0fcf3aebd58"},
+    {file = "SQLAlchemy-2.0.31-cp310-cp310-win32.whl", hash = "sha256:7bd112be780928c7f493c1a192cd8c5fc2a2a7b52b790bc5a84203fb4381c6be"},
+    {file = "SQLAlchemy-2.0.31-cp310-cp310-win_amd64.whl", hash = "sha256:5a48ac4d359f058474fadc2115f78a5cdac9988d4f99eae44917f36aa1476327"},
+    {file = "SQLAlchemy-2.0.31-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f68470edd70c3ac3b6cd5c2a22a8daf18415203ca1b036aaeb9b0fb6f54e8298"},
+    {file = "SQLAlchemy-2.0.31-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:2e2c38c2a4c5c634fe6c3c58a789712719fa1bf9b9d6ff5ebfce9a9e5b89c1ca"},
+    {file = "SQLAlchemy-2.0.31-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bd15026f77420eb2b324dcb93551ad9c5f22fab2c150c286ef1dc1160f110203"},
+    {file = "SQLAlchemy-2.0.31-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2196208432deebdfe3b22185d46b08f00ac9d7b01284e168c212919891289396"},
+    {file = "SQLAlchemy-2.0.31-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:352b2770097f41bff6029b280c0e03b217c2dcaddc40726f8f53ed58d8a85da4"},
+    {file = "SQLAlchemy-2.0.31-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:56d51ae825d20d604583f82c9527d285e9e6d14f9a5516463d9705dab20c3740"},
+    {file = "SQLAlchemy-2.0.31-cp311-cp311-win32.whl", hash = "sha256:6e2622844551945db81c26a02f27d94145b561f9d4b0c39ce7bfd2fda5776dac"},
+    {file = "SQLAlchemy-2.0.31-cp311-cp311-win_amd64.whl", hash = "sha256:ccaf1b0c90435b6e430f5dd30a5aede4764942a695552eb3a4ab74ed63c5b8d3"},
+    {file = "SQLAlchemy-2.0.31-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:3b74570d99126992d4b0f91fb87c586a574a5872651185de8297c6f90055ae42"},
+    {file = "SQLAlchemy-2.0.31-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6f77c4f042ad493cb8595e2f503c7a4fe44cd7bd59c7582fd6d78d7e7b8ec52c"},
+    {file = "SQLAlchemy-2.0.31-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cd1591329333daf94467e699e11015d9c944f44c94d2091f4ac493ced0119449"},
+    {file = "SQLAlchemy-2.0.31-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:74afabeeff415e35525bf7a4ecdab015f00e06456166a2eba7590e49f8db940e"},
+    {file = "SQLAlchemy-2.0.31-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:b9c01990d9015df2c6f818aa8f4297d42ee71c9502026bb074e713d496e26b67"},
+    {file = "SQLAlchemy-2.0.31-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:66f63278db425838b3c2b1c596654b31939427016ba030e951b292e32b99553e"},
+    {file = "SQLAlchemy-2.0.31-cp312-cp312-win32.whl", hash = "sha256:0b0f658414ee4e4b8cbcd4a9bb0fd743c5eeb81fc858ca517217a8013d282c96"},
+    {file = "SQLAlchemy-2.0.31-cp312-cp312-win_amd64.whl", hash = "sha256:fa4b1af3e619b5b0b435e333f3967612db06351217c58bfb50cee5f003db2a5a"},
+    {file = "SQLAlchemy-2.0.31-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:f43e93057cf52a227eda401251c72b6fbe4756f35fa6bfebb5d73b86881e59b0"},
+    {file = "SQLAlchemy-2.0.31-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d337bf94052856d1b330d5fcad44582a30c532a2463776e1651bd3294ee7e58b"},
+    {file = "SQLAlchemy-2.0.31-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c06fb43a51ccdff3b4006aafee9fcf15f63f23c580675f7734245ceb6b6a9e05"},
+    {file = "SQLAlchemy-2.0.31-cp37-cp37m-musllinux_1_2_aarch64.whl", hash = "sha256:b6e22630e89f0e8c12332b2b4c282cb01cf4da0d26795b7eae16702a608e7ca1"},
+    {file = "SQLAlchemy-2.0.31-cp37-cp37m-musllinux_1_2_x86_64.whl", hash = "sha256:79a40771363c5e9f3a77f0e28b3302801db08040928146e6808b5b7a40749c88"},
+    {file = "SQLAlchemy-2.0.31-cp37-cp37m-win32.whl", hash = "sha256:501ff052229cb79dd4c49c402f6cb03b5a40ae4771efc8bb2bfac9f6c3d3508f"},
+    {file = "SQLAlchemy-2.0.31-cp37-cp37m-win_amd64.whl", hash = "sha256:597fec37c382a5442ffd471f66ce12d07d91b281fd474289356b1a0041bdf31d"},
+    {file = "SQLAlchemy-2.0.31-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:dc6d69f8829712a4fd799d2ac8d79bdeff651c2301b081fd5d3fe697bd5b4ab9"},
+    {file = "SQLAlchemy-2.0.31-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:23b9fbb2f5dd9e630db70fbe47d963c7779e9c81830869bd7d137c2dc1ad05fb"},
+    {file = "SQLAlchemy-2.0.31-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2a21c97efcbb9f255d5c12a96ae14da873233597dfd00a3a0c4ce5b3e5e79704"},
+    {file = "SQLAlchemy-2.0.31-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:26a6a9837589c42b16693cf7bf836f5d42218f44d198f9343dd71d3164ceeeac"},
+    {file = "SQLAlchemy-2.0.31-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:dc251477eae03c20fae8db9c1c23ea2ebc47331bcd73927cdcaecd02af98d3c3"},
+    {file = "SQLAlchemy-2.0.31-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:2fd17e3bb8058359fa61248c52c7b09a97cf3c820e54207a50af529876451808"},
+    {file = "SQLAlchemy-2.0.31-cp38-cp38-win32.whl", hash = "sha256:c76c81c52e1e08f12f4b6a07af2b96b9b15ea67ccdd40ae17019f1c373faa227"},
+    {file = "SQLAlchemy-2.0.31-cp38-cp38-win_amd64.whl", hash = "sha256:4b600e9a212ed59355813becbcf282cfda5c93678e15c25a0ef896b354423238"},
+    {file = "SQLAlchemy-2.0.31-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:5b6cf796d9fcc9b37011d3f9936189b3c8074a02a4ed0c0fbbc126772c31a6d4"},
+    {file = "SQLAlchemy-2.0.31-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:78fe11dbe37d92667c2c6e74379f75746dc947ee505555a0197cfba9a6d4f1a4"},
+    {file = "SQLAlchemy-2.0.31-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2fc47dc6185a83c8100b37acda27658fe4dbd33b7d5e7324111f6521008ab4fe"},
+    {file = "SQLAlchemy-2.0.31-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8a41514c1a779e2aa9a19f67aaadeb5cbddf0b2b508843fcd7bafdf4c6864005"},
+    {file = "SQLAlchemy-2.0.31-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:afb6dde6c11ea4525318e279cd93c8734b795ac8bb5dda0eedd9ebaca7fa23f1"},
+    {file = "SQLAlchemy-2.0.31-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:3f9faef422cfbb8fd53716cd14ba95e2ef655400235c3dfad1b5f467ba179c8c"},
+    {file = "SQLAlchemy-2.0.31-cp39-cp39-win32.whl", hash = "sha256:fc6b14e8602f59c6ba893980bea96571dd0ed83d8ebb9c4479d9ed5425d562e9"},
+    {file = "SQLAlchemy-2.0.31-cp39-cp39-win_amd64.whl", hash = "sha256:3cb8a66b167b033ec72c3812ffc8441d4e9f5f78f5e31e54dcd4c90a4ca5bebc"},
+    {file = "SQLAlchemy-2.0.31-py3-none-any.whl", hash = "sha256:69f3e3c08867a8e4856e92d7afb618b95cdee18e0bc1647b77599722c9a28911"},
+    {file = "SQLAlchemy-2.0.31.tar.gz", hash = "sha256:b607489dd4a54de56984a0c7656247504bd5523d9d0ba799aef59d4add009484"},
+]
+
+[package.dependencies]
+greenlet = {version = "!=0.4.17", markers = "python_version < \"3.13\" and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\")"}
 typing-extensions = ">=4.6.0"
 
 [package.extras]
@@ -7597,13 +8609,13 @@ sqlcipher = ["sqlcipher3_binary"]
 
 [[package]]
 name = "sqlmodel"
-version = "0.0.14"
+version = "0.0.18"
 description = "SQLModel, SQL databases in Python, designed for simplicity, compatibility, and robustness."
 optional = false
-python-versions = ">=3.7,<4.0"
+python-versions = ">=3.7"
 files = [
-    {file = "sqlmodel-0.0.14-py3-none-any.whl", hash = "sha256:accea3ff5d878e41ac439b11e78613ed61ce300cfcb860e87a2d73d4884cbee4"},
-    {file = "sqlmodel-0.0.14.tar.gz", hash = "sha256:0bff8fc94af86b44925aa813f56cf6aabdd7f156b73259f2f60692c6a64ac90e"},
+    {file = "sqlmodel-0.0.18-py3-none-any.whl", hash = "sha256:d70fdf8fe595e30a918660cf4537b9c5fc2fffdbfcba851a0135de73c3ebcbb7"},
+    {file = "sqlmodel-0.0.18.tar.gz", hash = "sha256:2e520efe03810ef2c268a1004cfc5ef8f8a936312232f38d6c8e62c11af2cac3"},
 ]
 
 [package.dependencies]
@@ -7631,31 +8643,30 @@ tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
 
 [[package]]
 name = "starlette"
-version = "0.36.3"
+version = "0.37.2"
 description = "The little ASGI library that shines."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "starlette-0.36.3-py3-none-any.whl", hash = "sha256:13d429aa93a61dc40bf503e8c801db1f1bca3dc706b10ef2434a36123568f044"},
-    {file = "starlette-0.36.3.tar.gz", hash = "sha256:90a671733cfb35771d8cc605e0b679d23b992f8dcfad48cc60b38cb29aeb7080"},
+    {file = "starlette-0.37.2-py3-none-any.whl", hash = "sha256:6fe59f29268538e5d0d182f2791a479a0c64638e6935d1c6989e63fb2699c6ee"},
+    {file = "starlette-0.37.2.tar.gz", hash = "sha256:9af890290133b79fc3db55474ade20f6220a364a0402e0b556e7cd5e1e093823"},
 ]
 
 [package.dependencies]
 anyio = ">=3.4.0,<5"
-typing-extensions = {version = ">=3.10.0", markers = "python_version < \"3.10\""}
 
 [package.extras]
 full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.7)", "pyyaml"]
 
 [[package]]
 name = "storage3"
-version = "0.7.4"
+version = "0.7.6"
 description = "Supabase Storage client for Python."
 optional = false
 python-versions = "<4.0,>=3.8"
 files = [
-    {file = "storage3-0.7.4-py3-none-any.whl", hash = "sha256:0b8e8839b10a64063796ce55a41462c7ffd6842e0ada74f25f5dcf37e1d1bade"},
-    {file = "storage3-0.7.4.tar.gz", hash = "sha256:61fcbf836f566405981722abb7d56caa57025b261e7a316e73316701abf0c040"},
+    {file = "storage3-0.7.6-py3-none-any.whl", hash = "sha256:d8c23bf87b3a88cafb03761b7f936e4e49daca67741d571513edf746e0f8ba72"},
+    {file = "storage3-0.7.6.tar.gz", hash = "sha256:0b7781cea7fe6382e6b9349b84395808c5f4203dfcac31478304eedc2f81acf6"},
 ]
 
 [package.dependencies]
@@ -7679,15 +8690,32 @@ docs = ["myst-parser[linkify]", "sphinx", "sphinx-rtd-theme"]
 release = ["twine"]
 test = ["pylint", "pytest", "pytest-black", "pytest-cov", "pytest-pylint"]
 
+[[package]]
+name = "structlog"
+version = "24.2.0"
+description = "Structured Logging for Python"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "structlog-24.2.0-py3-none-any.whl", hash = "sha256:983bd49f70725c5e1e3867096c0c09665918936b3db27341b41d294283d7a48a"},
+    {file = "structlog-24.2.0.tar.gz", hash = "sha256:0e3fe74924a6d8857d3f612739efb94c72a7417d7c7c008d12276bca3b5bf13b"},
+]
+
+[package.extras]
+dev = ["freezegun (>=0.2.8)", "mypy (>=1.4)", "pretend", "pytest (>=6.0)", "pytest-asyncio (>=0.17)", "rich", "simplejson", "twisted"]
+docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-mermaid", "sphinxext-opengraph", "twisted"]
+tests = ["freezegun (>=0.2.8)", "pretend", "pytest (>=6.0)", "pytest-asyncio (>=0.17)", "simplejson"]
+typing = ["mypy (>=1.4)", "rich", "twisted"]
+
 [[package]]
 name = "supabase"
-version = "2.4.5"
+version = "2.5.1"
 description = "Supabase client for Python."
 optional = false
 python-versions = "<4.0,>=3.8"
 files = [
-    {file = "supabase-2.4.5-py3-none-any.whl", hash = "sha256:100441c36bf3390b040818c636c372a91645d18b6a9e0c12cea061fb00db664c"},
-    {file = "supabase-2.4.5.tar.gz", hash = "sha256:8520b5a194c6d8fdbdd71b45aefc8b5a42d1a6711a2c693b6d299aeb785e8532"},
+    {file = "supabase-2.5.1-py3-none-any.whl", hash = "sha256:74a1f24f04fede1967ef084b50dea688228f7b10eb2f9d73350fe2251a865188"},
+    {file = "supabase-2.5.1.tar.gz", hash = "sha256:c50e0eba5b03de3abd5ac0f887957ca43558ba44c4d17bb44e73ec454b41734c"},
 ]
 
 [package.dependencies]
@@ -7700,13 +8728,13 @@ supafunc = ">=0.3.1,<0.5.0"
 
 [[package]]
 name = "supafunc"
-version = "0.4.5"
+version = "0.4.6"
 description = "Library for Supabase Functions"
 optional = false
 python-versions = "<4.0,>=3.8"
 files = [
-    {file = "supafunc-0.4.5-py3-none-any.whl", hash = "sha256:2208045f8f5c797924666f6a332efad75ad368f8030b2e4ceb9d2bf63f329373"},
-    {file = "supafunc-0.4.5.tar.gz", hash = "sha256:a6466d78bdcaa58b7f0303793643103baae8106a87acd5d01e196179a9d0d024"},
+    {file = "supafunc-0.4.6-py3-none-any.whl", hash = "sha256:f7ca7b244365e171da7055a64edb462c2ec449cdaa210fc418cfccd132f4cf98"},
+    {file = "supafunc-0.4.6.tar.gz", hash = "sha256:92db51f8f8568d1430285219c9c0072e44207409c416622d7387f609e31928a6"},
 ]
 
 [package.dependencies]
@@ -7714,17 +8742,17 @@ httpx = ">=0.24,<0.28"
 
 [[package]]
 name = "sympy"
-version = "1.12"
+version = "1.12.1"
 description = "Computer algebra system (CAS) in Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "sympy-1.12-py3-none-any.whl", hash = "sha256:c3588cd4295d0c0f603d0f2ae780587e64e2efeedb3521e46b9bb1d08d184fa5"},
-    {file = "sympy-1.12.tar.gz", hash = "sha256:ebf595c8dac3e0fdc4152c51878b498396ec7f30e7a914d6071e674d49420fb8"},
+    {file = "sympy-1.12.1-py3-none-any.whl", hash = "sha256:9b2cbc7f1a640289430e13d2a56f02f867a1da0190f2f99d8968c2f74da0e515"},
+    {file = "sympy-1.12.1.tar.gz", hash = "sha256:2877b03f998cd8c08f07cd0de5b767119cd3ef40d09f41c30d722f6686b0fb88"},
 ]
 
 [package.dependencies]
-mpmath = ">=0.19"
+mpmath = ">=1.1.0,<1.4.0"
 
 [[package]]
 name = "tabulate"
@@ -7742,26 +8770,26 @@ widechars = ["wcwidth"]
 
 [[package]]
 name = "tbb"
-version = "2021.12.0"
+version = "2021.13.0"
 description = "Intel® oneAPI Threading Building Blocks (oneTBB)"
 optional = true
 python-versions = "*"
 files = [
-    {file = "tbb-2021.12.0-py2.py3-none-manylinux1_i686.whl", hash = "sha256:f2cc9a7f8ababaa506cbff796ce97c3bf91062ba521e15054394f773375d81d8"},
-    {file = "tbb-2021.12.0-py2.py3-none-manylinux1_x86_64.whl", hash = "sha256:a925e9a7c77d3a46ae31c34b0bb7f801c4118e857d137b68f68a8e458fcf2bd7"},
-    {file = "tbb-2021.12.0-py3-none-win32.whl", hash = "sha256:b1725b30c174048edc8be70bd43bb95473f396ce895d91151a474d0fa9f450a8"},
-    {file = "tbb-2021.12.0-py3-none-win_amd64.whl", hash = "sha256:fc2772d850229f2f3df85f1109c4844c495a2db7433d38200959ee9265b34789"},
+    {file = "tbb-2021.13.0-py2.py3-none-manylinux1_i686.whl", hash = "sha256:a2567725329639519d46d92a2634cf61e76601dac2f777a05686fea546c4fe4f"},
+    {file = "tbb-2021.13.0-py2.py3-none-manylinux1_x86_64.whl", hash = "sha256:aaf667e92849adb012b8874d6393282afc318aca4407fc62f912ee30a22da46a"},
+    {file = "tbb-2021.13.0-py3-none-win32.whl", hash = "sha256:6669d26703e9943f6164c6407bd4a237a45007e79b8d3832fe6999576eaaa9ef"},
+    {file = "tbb-2021.13.0-py3-none-win_amd64.whl", hash = "sha256:3528a53e4bbe64b07a6112b4c5a00ff3c61924ee46c9c68e004a1ac7ad1f09c3"},
 ]
 
 [[package]]
 name = "tenacity"
-version = "8.3.0"
+version = "8.4.1"
 description = "Retry code until it succeeds"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "tenacity-8.3.0-py3-none-any.whl", hash = "sha256:3649f6443dbc0d9b01b9d8020a9c4ec7a1ff5f6f3c6c8a036ef371f573fe9185"},
-    {file = "tenacity-8.3.0.tar.gz", hash = "sha256:953d4e6ad24357bceffbc9707bc74349aca9d245f68eb65419cf0c249a1949a2"},
+    {file = "tenacity-8.4.1-py3-none-any.whl", hash = "sha256:28522e692eda3e1b8f5e99c51464efcc0b9fc86933da92415168bc1c4e2308fa"},
+    {file = "tenacity-8.4.1.tar.gz", hash = "sha256:54b1412b878ddf7e1f1577cd49527bad8cdef32421bd599beac0c6c3f10582fd"},
 ]
 
 [package.extras]
@@ -7795,47 +8823,47 @@ files = [
 
 [[package]]
 name = "tiktoken"
-version = "0.6.0"
+version = "0.7.0"
 description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "tiktoken-0.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:277de84ccd8fa12730a6b4067456e5cf72fef6300bea61d506c09e45658d41ac"},
-    {file = "tiktoken-0.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9c44433f658064463650d61387623735641dcc4b6c999ca30bc0f8ba3fccaf5c"},
-    {file = "tiktoken-0.6.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:afb9a2a866ae6eef1995ab656744287a5ac95acc7e0491c33fad54d053288ad3"},
-    {file = "tiktoken-0.6.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c62c05b3109fefca26fedb2820452a050074ad8e5ad9803f4652977778177d9f"},
-    {file = "tiktoken-0.6.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:0ef917fad0bccda07bfbad835525bbed5f3ab97a8a3e66526e48cdc3e7beacf7"},
-    {file = "tiktoken-0.6.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:e095131ab6092d0769a2fda85aa260c7c383072daec599ba9d8b149d2a3f4d8b"},
-    {file = "tiktoken-0.6.0-cp310-cp310-win_amd64.whl", hash = "sha256:05b344c61779f815038292a19a0c6eb7098b63c8f865ff205abb9ea1b656030e"},
-    {file = "tiktoken-0.6.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:cefb9870fb55dca9e450e54dbf61f904aab9180ff6fe568b61f4db9564e78871"},
-    {file = "tiktoken-0.6.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:702950d33d8cabc039845674107d2e6dcabbbb0990ef350f640661368df481bb"},
-    {file = "tiktoken-0.6.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e8d49d076058f23254f2aff9af603863c5c5f9ab095bc896bceed04f8f0b013a"},
-    {file = "tiktoken-0.6.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:430bc4e650a2d23a789dc2cdca3b9e5e7eb3cd3935168d97d43518cbb1f9a911"},
-    {file = "tiktoken-0.6.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:293cb8669757301a3019a12d6770bd55bec38a4d3ee9978ddbe599d68976aca7"},
-    {file = "tiktoken-0.6.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:7bd1a288b7903aadc054b0e16ea78e3171f70b670e7372432298c686ebf9dd47"},
-    {file = "tiktoken-0.6.0-cp311-cp311-win_amd64.whl", hash = "sha256:ac76e000183e3b749634968a45c7169b351e99936ef46f0d2353cd0d46c3118d"},
-    {file = "tiktoken-0.6.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:17cc8a4a3245ab7d935c83a2db6bb71619099d7284b884f4b2aea4c74f2f83e3"},
-    {file = "tiktoken-0.6.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:284aebcccffe1bba0d6571651317df6a5b376ff6cfed5aeb800c55df44c78177"},
-    {file = "tiktoken-0.6.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0c1a3a5d33846f8cd9dd3b7897c1d45722f48625a587f8e6f3d3e85080559be8"},
-    {file = "tiktoken-0.6.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6318b2bb2337f38ee954fd5efa82632c6e5ced1d52a671370fa4b2eff1355e91"},
-    {file = "tiktoken-0.6.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:1f5f0f2ed67ba16373f9a6013b68da298096b27cd4e1cf276d2d3868b5c7efd1"},
-    {file = "tiktoken-0.6.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:75af4c0b16609c2ad02581f3cdcd1fb698c7565091370bf6c0cf8624ffaba6dc"},
-    {file = "tiktoken-0.6.0-cp312-cp312-win_amd64.whl", hash = "sha256:45577faf9a9d383b8fd683e313cf6df88b6076c034f0a16da243bb1c139340c3"},
-    {file = "tiktoken-0.6.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:7c1492ab90c21ca4d11cef3a236ee31a3e279bb21b3fc5b0e2210588c4209e68"},
-    {file = "tiktoken-0.6.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:e2b380c5b7751272015400b26144a2bab4066ebb8daae9c3cd2a92c3b508fe5a"},
-    {file = "tiktoken-0.6.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c9f497598b9f58c99cbc0eb764b4a92272c14d5203fc713dd650b896a03a50ad"},
-    {file = "tiktoken-0.6.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e65e8bd6f3f279d80f1e1fbd5f588f036b9a5fa27690b7f0cc07021f1dfa0839"},
-    {file = "tiktoken-0.6.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:5f1495450a54e564d236769d25bfefbf77727e232d7a8a378f97acddee08c1ae"},
-    {file = "tiktoken-0.6.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:6c4e4857d99f6fb4670e928250835b21b68c59250520a1941618b5b4194e20c3"},
-    {file = "tiktoken-0.6.0-cp38-cp38-win_amd64.whl", hash = "sha256:168d718f07a39b013032741867e789971346df8e89983fe3c0ef3fbd5a0b1cb9"},
-    {file = "tiktoken-0.6.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:47fdcfe11bd55376785a6aea8ad1db967db7f66ea81aed5c43fad497521819a4"},
-    {file = "tiktoken-0.6.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:fb7d2ccbf1a7784810aff6b80b4012fb42c6fc37eaa68cb3b553801a5cc2d1fc"},
-    {file = "tiktoken-0.6.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1ccb7a111ee76af5d876a729a347f8747d5ad548e1487eeea90eaf58894b3138"},
-    {file = "tiktoken-0.6.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b2048e1086b48e3c8c6e2ceeac866561374cd57a84622fa49a6b245ffecb7744"},
-    {file = "tiktoken-0.6.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:07f229a5eb250b6403a61200199cecf0aac4aa23c3ecc1c11c1ca002cbb8f159"},
-    {file = "tiktoken-0.6.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:432aa3be8436177b0db5a2b3e7cc28fd6c693f783b2f8722539ba16a867d0c6a"},
-    {file = "tiktoken-0.6.0-cp39-cp39-win_amd64.whl", hash = "sha256:8bfe8a19c8b5c40d121ee7938cd9c6a278e5b97dc035fd61714b4f0399d2f7a1"},
-    {file = "tiktoken-0.6.0.tar.gz", hash = "sha256:ace62a4ede83c75b0374a2ddfa4b76903cf483e9cb06247f566be3bf14e6beed"},
+    {file = "tiktoken-0.7.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:485f3cc6aba7c6b6ce388ba634fbba656d9ee27f766216f45146beb4ac18b25f"},
+    {file = "tiktoken-0.7.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e54be9a2cd2f6d6ffa3517b064983fb695c9a9d8aa7d574d1ef3c3f931a99225"},
+    {file = "tiktoken-0.7.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:79383a6e2c654c6040e5f8506f3750db9ddd71b550c724e673203b4f6b4b4590"},
+    {file = "tiktoken-0.7.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5d4511c52caacf3c4981d1ae2df85908bd31853f33d30b345c8b6830763f769c"},
+    {file = "tiktoken-0.7.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:13c94efacdd3de9aff824a788353aa5749c0faee1fbe3816df365ea450b82311"},
+    {file = "tiktoken-0.7.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:8e58c7eb29d2ab35a7a8929cbeea60216a4ccdf42efa8974d8e176d50c9a3df5"},
+    {file = "tiktoken-0.7.0-cp310-cp310-win_amd64.whl", hash = "sha256:21a20c3bd1dd3e55b91c1331bf25f4af522c525e771691adbc9a69336fa7f702"},
+    {file = "tiktoken-0.7.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:10c7674f81e6e350fcbed7c09a65bca9356eaab27fb2dac65a1e440f2bcfe30f"},
+    {file = "tiktoken-0.7.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:084cec29713bc9d4189a937f8a35dbdfa785bd1235a34c1124fe2323821ee93f"},
+    {file = "tiktoken-0.7.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:811229fde1652fedcca7c6dfe76724d0908775b353556d8a71ed74d866f73f7b"},
+    {file = "tiktoken-0.7.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:86b6e7dc2e7ad1b3757e8a24597415bafcfb454cebf9a33a01f2e6ba2e663992"},
+    {file = "tiktoken-0.7.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:1063c5748be36344c7e18c7913c53e2cca116764c2080177e57d62c7ad4576d1"},
+    {file = "tiktoken-0.7.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:20295d21419bfcca092644f7e2f2138ff947a6eb8cfc732c09cc7d76988d4a89"},
+    {file = "tiktoken-0.7.0-cp311-cp311-win_amd64.whl", hash = "sha256:959d993749b083acc57a317cbc643fb85c014d055b2119b739487288f4e5d1cb"},
+    {file = "tiktoken-0.7.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:71c55d066388c55a9c00f61d2c456a6086673ab7dec22dd739c23f77195b1908"},
+    {file = "tiktoken-0.7.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:09ed925bccaa8043e34c519fbb2f99110bd07c6fd67714793c21ac298e449410"},
+    {file = "tiktoken-0.7.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:03c6c40ff1db0f48a7b4d2dafeae73a5607aacb472fa11f125e7baf9dce73704"},
+    {file = "tiktoken-0.7.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d20b5c6af30e621b4aca094ee61777a44118f52d886dbe4f02b70dfe05c15350"},
+    {file = "tiktoken-0.7.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:d427614c3e074004efa2f2411e16c826f9df427d3c70a54725cae860f09e4bf4"},
+    {file = "tiktoken-0.7.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:8c46d7af7b8c6987fac9b9f61041b452afe92eb087d29c9ce54951280f899a97"},
+    {file = "tiktoken-0.7.0-cp312-cp312-win_amd64.whl", hash = "sha256:0bc603c30b9e371e7c4c7935aba02af5994a909fc3c0fe66e7004070858d3f8f"},
+    {file = "tiktoken-0.7.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:2398fecd38c921bcd68418675a6d155fad5f5e14c2e92fcf5fe566fa5485a858"},
+    {file = "tiktoken-0.7.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:8f5f6afb52fb8a7ea1c811e435e4188f2bef81b5e0f7a8635cc79b0eef0193d6"},
+    {file = "tiktoken-0.7.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:861f9ee616766d736be4147abac500732b505bf7013cfaf019b85892637f235e"},
+    {file = "tiktoken-0.7.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:54031f95c6939f6b78122c0aa03a93273a96365103793a22e1793ee86da31685"},
+    {file = "tiktoken-0.7.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:fffdcb319b614cf14f04d02a52e26b1d1ae14a570f90e9b55461a72672f7b13d"},
+    {file = "tiktoken-0.7.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:c72baaeaefa03ff9ba9688624143c858d1f6b755bb85d456d59e529e17234769"},
+    {file = "tiktoken-0.7.0-cp38-cp38-win_amd64.whl", hash = "sha256:131b8aeb043a8f112aad9f46011dced25d62629091e51d9dc1adbf4a1cc6aa98"},
+    {file = "tiktoken-0.7.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:cabc6dc77460df44ec5b879e68692c63551ae4fae7460dd4ff17181df75f1db7"},
+    {file = "tiktoken-0.7.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:8d57f29171255f74c0aeacd0651e29aa47dff6f070cb9f35ebc14c82278f3b25"},
+    {file = "tiktoken-0.7.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2ee92776fdbb3efa02a83f968c19d4997a55c8e9ce7be821ceee04a1d1ee149c"},
+    {file = "tiktoken-0.7.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e215292e99cb41fbc96988ef62ea63bb0ce1e15f2c147a61acc319f8b4cbe5bf"},
+    {file = "tiktoken-0.7.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:8a81bac94769cab437dd3ab0b8a4bc4e0f9cf6835bcaa88de71f39af1791727a"},
+    {file = "tiktoken-0.7.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:d6d73ea93e91d5ca771256dfc9d1d29f5a554b83821a1dc0891987636e0ae226"},
+    {file = "tiktoken-0.7.0-cp39-cp39-win_amd64.whl", hash = "sha256:2bcb28ddf79ffa424f171dfeef9a4daff61a94c631ca6813f43967cb263b83b9"},
+    {file = "tiktoken-0.7.0.tar.gz", hash = "sha256:1077266e949c24e0291f6c350433c6f0971365ece2b173a23bc3b9f9defef6b6"},
 ]
 
 [package.dependencies]
@@ -7962,6 +8990,17 @@ dev = ["tokenizers[testing]"]
 docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"]
 testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests", "ruff"]
 
+[[package]]
+name = "toml"
+version = "0.10.2"
+description = "Python Library for Tom's Obvious, Minimal Language"
+optional = false
+python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
+files = [
+    {file = "toml-0.10.2-py2.py3-none-any.whl", hash = "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b"},
+    {file = "toml-0.10.2.tar.gz", hash = "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"},
+]
+
 [[package]]
 name = "tomli"
 version = "2.0.1"
@@ -7975,31 +9014,31 @@ files = [
 
 [[package]]
 name = "torch"
-version = "2.3.0"
+version = "2.3.1"
 description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
 optional = true
 python-versions = ">=3.8.0"
 files = [
-    {file = "torch-2.3.0-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:d8ea5a465dbfd8501f33c937d1f693176c9aef9d1c1b0ca1d44ed7b0a18c52ac"},
-    {file = "torch-2.3.0-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:09c81c5859a5b819956c6925a405ef1cdda393c9d8a01ce3851453f699d3358c"},
-    {file = "torch-2.3.0-cp310-cp310-win_amd64.whl", hash = "sha256:1bf023aa20902586f614f7682fedfa463e773e26c58820b74158a72470259459"},
-    {file = "torch-2.3.0-cp310-none-macosx_11_0_arm64.whl", hash = "sha256:758ef938de87a2653bba74b91f703458c15569f1562bf4b6c63c62d9c5a0c1f5"},
-    {file = "torch-2.3.0-cp311-cp311-manylinux1_x86_64.whl", hash = "sha256:493d54ee2f9df100b5ce1d18c96dbb8d14908721f76351e908c9d2622773a788"},
-    {file = "torch-2.3.0-cp311-cp311-manylinux2014_aarch64.whl", hash = "sha256:bce43af735c3da16cc14c7de2be7ad038e2fbf75654c2e274e575c6c05772ace"},
-    {file = "torch-2.3.0-cp311-cp311-win_amd64.whl", hash = "sha256:729804e97b7cf19ae9ab4181f91f5e612af07956f35c8b2c8e9d9f3596a8e877"},
-    {file = "torch-2.3.0-cp311-none-macosx_11_0_arm64.whl", hash = "sha256:d24e328226d8e2af7cf80fcb1d2f1d108e0de32777fab4aaa2b37b9765d8be73"},
-    {file = "torch-2.3.0-cp312-cp312-manylinux1_x86_64.whl", hash = "sha256:b0de2bdc0486ea7b14fc47ff805172df44e421a7318b7c4d92ef589a75d27410"},
-    {file = "torch-2.3.0-cp312-cp312-manylinux2014_aarch64.whl", hash = "sha256:a306c87a3eead1ed47457822c01dfbd459fe2920f2d38cbdf90de18f23f72542"},
-    {file = "torch-2.3.0-cp312-cp312-win_amd64.whl", hash = "sha256:f9b98bf1a3c8af2d4c41f0bf1433920900896c446d1ddc128290ff146d1eb4bd"},
-    {file = "torch-2.3.0-cp312-none-macosx_11_0_arm64.whl", hash = "sha256:dca986214267b34065a79000cee54232e62b41dff1ec2cab9abc3fc8b3dee0ad"},
-    {file = "torch-2.3.0-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:20572f426965dd8a04e92a473d7e445fa579e09943cc0354f3e6fef6130ce061"},
-    {file = "torch-2.3.0-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:e65ba85ae292909cde0dde6369826d51165a3fc8823dc1854cd9432d7f79b932"},
-    {file = "torch-2.3.0-cp38-cp38-win_amd64.whl", hash = "sha256:5515503a193781fd1b3f5c474e89c9dfa2faaa782b2795cc4a7ab7e67de923f6"},
-    {file = "torch-2.3.0-cp38-none-macosx_11_0_arm64.whl", hash = "sha256:6ae9f64b09516baa4ef890af0672dc981c20b1f0d829ce115d4420a247e88fba"},
-    {file = "torch-2.3.0-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:cd0dc498b961ab19cb3f8dbf0c6c50e244f2f37dbfa05754ab44ea057c944ef9"},
-    {file = "torch-2.3.0-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:e05f836559251e4096f3786ee99f4a8cbe67bc7fbedba8ad5e799681e47c5e80"},
-    {file = "torch-2.3.0-cp39-cp39-win_amd64.whl", hash = "sha256:4fb27b35dbb32303c2927da86e27b54a92209ddfb7234afb1949ea2b3effffea"},
-    {file = "torch-2.3.0-cp39-none-macosx_11_0_arm64.whl", hash = "sha256:760f8bedff506ce9e6e103498f9b1e9e15809e008368594c3a66bf74a8a51380"},
+    {file = "torch-2.3.1-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:605a25b23944be5ab7c3467e843580e1d888b8066e5aaf17ff7bf9cc30001cc3"},
+    {file = "torch-2.3.1-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:f2357eb0965583a0954d6f9ad005bba0091f956aef879822274b1bcdb11bd308"},
+    {file = "torch-2.3.1-cp310-cp310-win_amd64.whl", hash = "sha256:32b05fe0d1ada7f69c9f86c14ff69b0ef1957a5a54199bacba63d22d8fab720b"},
+    {file = "torch-2.3.1-cp310-none-macosx_11_0_arm64.whl", hash = "sha256:7c09a94362778428484bcf995f6004b04952106aee0ef45ff0b4bab484f5498d"},
+    {file = "torch-2.3.1-cp311-cp311-manylinux1_x86_64.whl", hash = "sha256:b2ec81b61bb094ea4a9dee1cd3f7b76a44555375719ad29f05c0ca8ef596ad39"},
+    {file = "torch-2.3.1-cp311-cp311-manylinux2014_aarch64.whl", hash = "sha256:490cc3d917d1fe0bd027057dfe9941dc1d6d8e3cae76140f5dd9a7e5bc7130ab"},
+    {file = "torch-2.3.1-cp311-cp311-win_amd64.whl", hash = "sha256:5802530783bd465fe66c2df99123c9a54be06da118fbd785a25ab0a88123758a"},
+    {file = "torch-2.3.1-cp311-none-macosx_11_0_arm64.whl", hash = "sha256:a7dd4ed388ad1f3d502bf09453d5fe596c7b121de7e0cfaca1e2017782e9bbac"},
+    {file = "torch-2.3.1-cp312-cp312-manylinux1_x86_64.whl", hash = "sha256:a486c0b1976a118805fc7c9641d02df7afbb0c21e6b555d3bb985c9f9601b61a"},
+    {file = "torch-2.3.1-cp312-cp312-manylinux2014_aarch64.whl", hash = "sha256:224259821fe3e4c6f7edf1528e4fe4ac779c77addaa74215eb0b63a5c474d66c"},
+    {file = "torch-2.3.1-cp312-cp312-win_amd64.whl", hash = "sha256:e5fdccbf6f1334b2203a61a0e03821d5845f1421defe311dabeae2fc8fbeac2d"},
+    {file = "torch-2.3.1-cp312-none-macosx_11_0_arm64.whl", hash = "sha256:3c333dc2ebc189561514eda06e81df22bf8fb64e2384746b2cb9f04f96d1d4c8"},
+    {file = "torch-2.3.1-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:07e9ba746832b8d069cacb45f312cadd8ad02b81ea527ec9766c0e7404bb3feb"},
+    {file = "torch-2.3.1-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:462d1c07dbf6bb5d9d2f3316fee73a24f3d12cd8dacf681ad46ef6418f7f6626"},
+    {file = "torch-2.3.1-cp38-cp38-win_amd64.whl", hash = "sha256:ff60bf7ce3de1d43ad3f6969983f321a31f0a45df3690921720bcad6a8596cc4"},
+    {file = "torch-2.3.1-cp38-none-macosx_11_0_arm64.whl", hash = "sha256:bee0bd33dc58aa8fc8a7527876e9b9a0e812ad08122054a5bff2ce5abf005b10"},
+    {file = "torch-2.3.1-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:aaa872abde9a3d4f91580f6396d54888620f4a0b92e3976a6034759df4b961ad"},
+    {file = "torch-2.3.1-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:3d7a7f7ef21a7520510553dc3938b0c57c116a7daee20736a9e25cbc0e832bdc"},
+    {file = "torch-2.3.1-cp39-cp39-win_amd64.whl", hash = "sha256:4777f6cefa0c2b5fa87223c213e7b6f417cf254a45e5829be4ccd1b2a4ee1011"},
+    {file = "torch-2.3.1-cp39-none-macosx_11_0_arm64.whl", hash = "sha256:2bb5af780c55be68fe100feb0528d2edebace1d55cb2e351de735809ba7391eb"},
 ]
 
 [package.dependencies]
@@ -8020,7 +9059,7 @@ nvidia-cusparse-cu12 = {version = "12.1.0.106", markers = "platform_system == \"
 nvidia-nccl-cu12 = {version = "2.20.5", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-nvtx-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 sympy = "*"
-triton = {version = "2.3.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.12\""}
+triton = {version = "2.3.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.12\""}
 typing-extensions = ">=4.8.0"
 
 [package.extras]
@@ -8029,22 +9068,22 @@ optree = ["optree (>=0.9.1)"]
 
 [[package]]
 name = "tornado"
-version = "6.4"
+version = "6.4.1"
 description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed."
 optional = false
-python-versions = ">= 3.8"
+python-versions = ">=3.8"
 files = [
-    {file = "tornado-6.4-cp38-abi3-macosx_10_9_universal2.whl", hash = "sha256:02ccefc7d8211e5a7f9e8bc3f9e5b0ad6262ba2fbb683a6443ecc804e5224ce0"},
-    {file = "tornado-6.4-cp38-abi3-macosx_10_9_x86_64.whl", hash = "sha256:27787de946a9cffd63ce5814c33f734c627a87072ec7eed71f7fc4417bb16263"},
-    {file = "tornado-6.4-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f7894c581ecdcf91666a0912f18ce5e757213999e183ebfc2c3fdbf4d5bd764e"},
-    {file = "tornado-6.4-cp38-abi3-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e43bc2e5370a6a8e413e1e1cd0c91bedc5bd62a74a532371042a18ef19e10579"},
-    {file = "tornado-6.4-cp38-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f0251554cdd50b4b44362f73ad5ba7126fc5b2c2895cc62b14a1c2d7ea32f212"},
-    {file = "tornado-6.4-cp38-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:fd03192e287fbd0899dd8f81c6fb9cbbc69194d2074b38f384cb6fa72b80e9c2"},
-    {file = "tornado-6.4-cp38-abi3-musllinux_1_1_i686.whl", hash = "sha256:88b84956273fbd73420e6d4b8d5ccbe913c65d31351b4c004ae362eba06e1f78"},
-    {file = "tornado-6.4-cp38-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:71ddfc23a0e03ef2df1c1397d859868d158c8276a0603b96cf86892bff58149f"},
-    {file = "tornado-6.4-cp38-abi3-win32.whl", hash = "sha256:6f8a6c77900f5ae93d8b4ae1196472d0ccc2775cc1dfdc9e7727889145c45052"},
-    {file = "tornado-6.4-cp38-abi3-win_amd64.whl", hash = "sha256:10aeaa8006333433da48dec9fe417877f8bcc21f48dda8d661ae79da357b2a63"},
-    {file = "tornado-6.4.tar.gz", hash = "sha256:72291fa6e6bc84e626589f1c29d90a5a6d593ef5ae68052ee2ef000dfd273dee"},
+    {file = "tornado-6.4.1-cp38-abi3-macosx_10_9_universal2.whl", hash = "sha256:163b0aafc8e23d8cdc3c9dfb24c5368af84a81e3364745ccb4427669bf84aec8"},
+    {file = "tornado-6.4.1-cp38-abi3-macosx_10_9_x86_64.whl", hash = "sha256:6d5ce3437e18a2b66fbadb183c1d3364fb03f2be71299e7d10dbeeb69f4b2a14"},
+    {file = "tornado-6.4.1-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e2e20b9113cd7293f164dc46fffb13535266e713cdb87bd2d15ddb336e96cfc4"},
+    {file = "tornado-6.4.1-cp38-abi3-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8ae50a504a740365267b2a8d1a90c9fbc86b780a39170feca9bcc1787ff80842"},
+    {file = "tornado-6.4.1-cp38-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:613bf4ddf5c7a95509218b149b555621497a6cc0d46ac341b30bd9ec19eac7f3"},
+    {file = "tornado-6.4.1-cp38-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:25486eb223babe3eed4b8aecbac33b37e3dd6d776bc730ca14e1bf93888b979f"},
+    {file = "tornado-6.4.1-cp38-abi3-musllinux_1_2_i686.whl", hash = "sha256:454db8a7ecfcf2ff6042dde58404164d969b6f5d58b926da15e6b23817950fc4"},
+    {file = "tornado-6.4.1-cp38-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:a02a08cc7a9314b006f653ce40483b9b3c12cda222d6a46d4ac63bb6c9057698"},
+    {file = "tornado-6.4.1-cp38-abi3-win32.whl", hash = "sha256:d9a566c40b89757c9aa8e6f032bcdb8ca8795d7c1a9762910c722b1635c9de4d"},
+    {file = "tornado-6.4.1-cp38-abi3-win_amd64.whl", hash = "sha256:b24b8982ed444378d7f21d563f4180a2de31ced9d8d84443907a0a64da2072e7"},
+    {file = "tornado-6.4.1.tar.gz", hash = "sha256:92d3ab53183d8c50f8204a51e6f91d18a15d5ef261e84d452800d4ff6fc504e9"},
 ]
 
 [[package]]
@@ -8152,17 +9191,17 @@ vision = ["Pillow (>=10.0.1,<=15.0)"]
 
 [[package]]
 name = "triton"
-version = "2.3.0"
+version = "2.3.1"
 description = "A language and compiler for custom Deep Learning operations"
 optional = true
 python-versions = "*"
 files = [
-    {file = "triton-2.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5ce4b8ff70c48e47274c66f269cce8861cf1dc347ceeb7a67414ca151b1822d8"},
-    {file = "triton-2.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3c3d9607f85103afdb279938fc1dd2a66e4f5999a58eb48a346bd42738f986dd"},
-    {file = "triton-2.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:218d742e67480d9581bafb73ed598416cc8a56f6316152e5562ee65e33de01c0"},
-    {file = "triton-2.3.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:381ec6b3dac06922d3e4099cfc943ef032893b25415de295e82b1a82b0359d2c"},
-    {file = "triton-2.3.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:038e06a09c06a164fef9c48de3af1e13a63dc1ba3c792871e61a8e79720ea440"},
-    {file = "triton-2.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6d8f636e0341ac348899a47a057c3daea99ea7db31528a225a3ba4ded28ccc65"},
+    {file = "triton-2.3.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3c84595cbe5e546b1b290d2a58b1494df5a2ef066dd890655e5b8a8a92205c33"},
+    {file = "triton-2.3.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c9d64ae33bcb3a7a18081e3a746e8cf87ca8623ca13d2c362413ce7a486f893e"},
+    {file = "triton-2.3.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eaf80e8761a9e3498aa92e7bf83a085b31959c61f5e8ac14eedd018df6fccd10"},
+    {file = "triton-2.3.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b13bf35a2b659af7159bf78e92798dc62d877aa991de723937329e2d382f1991"},
+    {file = "triton-2.3.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:63381e35ded3304704ea867ffde3b7cfc42c16a55b3062d41e017ef510433d66"},
+    {file = "triton-2.3.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1d968264523c7a07911c8fb51b4e0d1b920204dae71491b1fe7b01b62a31e124"},
 ]
 
 [package.dependencies]
@@ -8175,25 +9214,21 @@ tutorials = ["matplotlib", "pandas", "tabulate", "torch"]
 
 [[package]]
 name = "typer"
-version = "0.9.4"
+version = "0.12.3"
 description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 files = [
-    {file = "typer-0.9.4-py3-none-any.whl", hash = "sha256:aa6c4a4e2329d868b80ecbaf16f807f2b54e192209d7ac9dd42691d63f7a54eb"},
-    {file = "typer-0.9.4.tar.gz", hash = "sha256:f714c2d90afae3a7929fcd72a3abb08df305e1ff61719381384211c4070af57f"},
+    {file = "typer-0.12.3-py3-none-any.whl", hash = "sha256:070d7ca53f785acbccba8e7d28b08dcd88f79f1fbda035ade0aecec71ca5c914"},
+    {file = "typer-0.12.3.tar.gz", hash = "sha256:49e73131481d804288ef62598d97a1ceef3058905aa536a1134f90891ba35482"},
 ]
 
 [package.dependencies]
-click = ">=7.1.1,<9.0.0"
+click = ">=8.0.0"
+rich = ">=10.11.0"
+shellingham = ">=1.3.0"
 typing-extensions = ">=3.7.4.3"
 
-[package.extras]
-all = ["colorama (>=0.4.3,<0.5.0)", "rich (>=10.11.0,<14.0.0)", "shellingham (>=1.3.0,<2.0.0)"]
-dev = ["autoflake (>=1.3.1,<2.0.0)", "flake8 (>=3.8.3,<4.0.0)", "pre-commit (>=2.17.0,<3.0.0)"]
-doc = ["cairosvg (>=2.5.2,<3.0.0)", "mdx-include (>=1.4.1,<2.0.0)", "mkdocs (>=1.1.2,<2.0.0)", "mkdocs-material (>=8.1.4,<9.0.0)", "pillow (>=9.3.0,<10.0.0)"]
-test = ["black (>=22.3.0,<23.0.0)", "coverage (>=6.2,<7.0)", "isort (>=5.0.6,<6.0.0)", "mypy (==0.971)", "pytest (>=4.4.0,<8.0.0)", "pytest-cov (>=2.10.0,<5.0.0)", "pytest-sugar (>=0.9.4,<0.10.0)", "pytest-xdist (>=1.32.0,<4.0.0)", "rich (>=10.11.0,<14.0.0)", "shellingham (>=1.3.0,<2.0.0)"]
-
 [[package]]
 name = "types-cachetools"
 version = "5.3.0.7"
@@ -8243,13 +9278,13 @@ files = [
 
 [[package]]
 name = "types-pillow"
-version = "10.2.0.20240423"
+version = "10.2.0.20240520"
 description = "Typing stubs for Pillow"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "types-Pillow-10.2.0.20240423.tar.gz", hash = "sha256:696e68b9b6a58548fc307a8669830469237c5b11809ddf978ac77fafa79251cd"},
-    {file = "types_Pillow-10.2.0.20240423-py3-none-any.whl", hash = "sha256:bd12923093b96c91d523efcdb66967a307f1a843bcfaf2d5a529146c10a9ced3"},
+    {file = "types-Pillow-10.2.0.20240520.tar.gz", hash = "sha256:130b979195465fa1e1676d8e81c9c7c30319e8e95b12fae945e8f0d525213107"},
+    {file = "types_Pillow-10.2.0.20240520-py3-none-any.whl", hash = "sha256:33c36494b380e2a269bb742181bea5d9b00820367822dbd3760f07210a1da23d"},
 ]
 
 [[package]]
@@ -8342,49 +9377,38 @@ types-pyOpenSSL = "*"
 
 [[package]]
 name = "types-requests"
-version = "2.31.0.6"
+version = "2.32.0.20240622"
 description = "Typing stubs for requests"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "types-requests-2.31.0.6.tar.gz", hash = "sha256:cd74ce3b53c461f1228a9b783929ac73a666658f223e28ed29753771477b3bd0"},
-    {file = "types_requests-2.31.0.6-py3-none-any.whl", hash = "sha256:a2db9cb228a81da8348b49ad6db3f5519452dd20a9c1e1a868c83c5fe88fd1a9"},
+    {file = "types-requests-2.32.0.20240622.tar.gz", hash = "sha256:ed5e8a412fcc39159d6319385c009d642845f250c63902718f605cd90faade31"},
+    {file = "types_requests-2.32.0.20240622-py3-none-any.whl", hash = "sha256:97bac6b54b5bd4cf91d407e62f0932a74821bc2211f22116d9ee1dd643826caf"},
 ]
 
 [package.dependencies]
-types-urllib3 = "*"
+urllib3 = ">=2"
 
 [[package]]
 name = "types-setuptools"
-version = "69.5.0.20240423"
+version = "70.0.0.20240524"
 description = "Typing stubs for setuptools"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "types-setuptools-69.5.0.20240423.tar.gz", hash = "sha256:a7ba908f1746c4337d13f027fa0f4a5bcad6d1d92048219ba792b3295c58586d"},
-    {file = "types_setuptools-69.5.0.20240423-py3-none-any.whl", hash = "sha256:a4381e041510755a6c9210e26ad55b1629bc10237aeb9cb8b6bd24996b73db48"},
-]
-
-[[package]]
-name = "types-urllib3"
-version = "1.26.25.14"
-description = "Typing stubs for urllib3"
-optional = false
-python-versions = "*"
-files = [
-    {file = "types-urllib3-1.26.25.14.tar.gz", hash = "sha256:229b7f577c951b8c1b92c1bc2b2fdb0b49847bd2af6d1cc2a2e3dd340f3bda8f"},
-    {file = "types_urllib3-1.26.25.14-py3-none-any.whl", hash = "sha256:9683bbb7fb72e32bfe9d2be6e04875fbe1b3eeec3cbb4ea231435aa7fd6b4f0e"},
+    {file = "types-setuptools-70.0.0.20240524.tar.gz", hash = "sha256:e31fee7b9d15ef53980526579ac6089b3ae51a005a281acf97178e90ac71aff6"},
+    {file = "types_setuptools-70.0.0.20240524-py3-none-any.whl", hash = "sha256:8f5379b9948682d72a9ab531fbe52932e84c4f38deda570255f9bae3edd766bc"},
 ]
 
 [[package]]
 name = "typing-extensions"
-version = "4.11.0"
+version = "4.12.2"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "typing_extensions-4.11.0-py3-none-any.whl", hash = "sha256:c1f94d72897edaf4ce775bb7558d5b79d8126906a14ea5ed1635921406c0387a"},
-    {file = "typing_extensions-4.11.0.tar.gz", hash = "sha256:83f085bd5ca59c80295fc2a82ab5dac679cbe02b9f33f7d83af68e241bea51b0"},
+    {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
+    {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
 ]
 
 [[package]]
@@ -8414,31 +9438,116 @@ files = [
 ]
 
 [[package]]
-name = "tzlocal"
-version = "5.2"
-description = "tzinfo object for the local timezone"
+name = "ujson"
+version = "5.10.0"
+description = "Ultra fast JSON encoder and decoder for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "tzlocal-5.2-py3-none-any.whl", hash = "sha256:49816ef2fe65ea8ac19d19aa7a1ae0551c834303d5014c6d5a62e4cbda8047b8"},
-    {file = "tzlocal-5.2.tar.gz", hash = "sha256:8d399205578f1a9342816409cc1e46a93ebd5755e39ea2d85334bea911bf0e6e"},
+    {file = "ujson-5.10.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2601aa9ecdbee1118a1c2065323bda35e2c5a2cf0797ef4522d485f9d3ef65bd"},
+    {file = "ujson-5.10.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:348898dd702fc1c4f1051bc3aacbf894caa0927fe2c53e68679c073375f732cf"},
+    {file = "ujson-5.10.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:22cffecf73391e8abd65ef5f4e4dd523162a3399d5e84faa6aebbf9583df86d6"},
+    {file = "ujson-5.10.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:26b0e2d2366543c1bb4fbd457446f00b0187a2bddf93148ac2da07a53fe51569"},
+    {file = "ujson-5.10.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:caf270c6dba1be7a41125cd1e4fc7ba384bf564650beef0df2dd21a00b7f5770"},
+    {file = "ujson-5.10.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:a245d59f2ffe750446292b0094244df163c3dc96b3ce152a2c837a44e7cda9d1"},
+    {file = "ujson-5.10.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:94a87f6e151c5f483d7d54ceef83b45d3a9cca7a9cb453dbdbb3f5a6f64033f5"},
+    {file = "ujson-5.10.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:29b443c4c0a113bcbb792c88bea67b675c7ca3ca80c3474784e08bba01c18d51"},
+    {file = "ujson-5.10.0-cp310-cp310-win32.whl", hash = "sha256:c18610b9ccd2874950faf474692deee4223a994251bc0a083c114671b64e6518"},
+    {file = "ujson-5.10.0-cp310-cp310-win_amd64.whl", hash = "sha256:924f7318c31874d6bb44d9ee1900167ca32aa9b69389b98ecbde34c1698a250f"},
+    {file = "ujson-5.10.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:a5b366812c90e69d0f379a53648be10a5db38f9d4ad212b60af00bd4048d0f00"},
+    {file = "ujson-5.10.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:502bf475781e8167f0f9d0e41cd32879d120a524b22358e7f205294224c71126"},
+    {file = "ujson-5.10.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5b91b5d0d9d283e085e821651184a647699430705b15bf274c7896f23fe9c9d8"},
+    {file = "ujson-5.10.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:129e39af3a6d85b9c26d5577169c21d53821d8cf68e079060602e861c6e5da1b"},
+    {file = "ujson-5.10.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f77b74475c462cb8b88680471193064d3e715c7c6074b1c8c412cb526466efe9"},
+    {file = "ujson-5.10.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:7ec0ca8c415e81aa4123501fee7f761abf4b7f386aad348501a26940beb1860f"},
+    {file = "ujson-5.10.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:ab13a2a9e0b2865a6c6db9271f4b46af1c7476bfd51af1f64585e919b7c07fd4"},
+    {file = "ujson-5.10.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:57aaf98b92d72fc70886b5a0e1a1ca52c2320377360341715dd3933a18e827b1"},
+    {file = "ujson-5.10.0-cp311-cp311-win32.whl", hash = "sha256:2987713a490ceb27edff77fb184ed09acdc565db700ee852823c3dc3cffe455f"},
+    {file = "ujson-5.10.0-cp311-cp311-win_amd64.whl", hash = "sha256:f00ea7e00447918ee0eff2422c4add4c5752b1b60e88fcb3c067d4a21049a720"},
+    {file = "ujson-5.10.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:98ba15d8cbc481ce55695beee9f063189dce91a4b08bc1d03e7f0152cd4bbdd5"},
+    {file = "ujson-5.10.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:a9d2edbf1556e4f56e50fab7d8ff993dbad7f54bac68eacdd27a8f55f433578e"},
+    {file = "ujson-5.10.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6627029ae4f52d0e1a2451768c2c37c0c814ffc04f796eb36244cf16b8e57043"},
+    {file = "ujson-5.10.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f8ccb77b3e40b151e20519c6ae6d89bfe3f4c14e8e210d910287f778368bb3d1"},
+    {file = "ujson-5.10.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f3caf9cd64abfeb11a3b661329085c5e167abbe15256b3b68cb5d914ba7396f3"},
+    {file = "ujson-5.10.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:6e32abdce572e3a8c3d02c886c704a38a1b015a1fb858004e03d20ca7cecbb21"},
+    {file = "ujson-5.10.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:a65b6af4d903103ee7b6f4f5b85f1bfd0c90ba4eeac6421aae436c9988aa64a2"},
+    {file = "ujson-5.10.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:604a046d966457b6cdcacc5aa2ec5314f0e8c42bae52842c1e6fa02ea4bda42e"},
+    {file = "ujson-5.10.0-cp312-cp312-win32.whl", hash = "sha256:6dea1c8b4fc921bf78a8ff00bbd2bfe166345f5536c510671bccececb187c80e"},
+    {file = "ujson-5.10.0-cp312-cp312-win_amd64.whl", hash = "sha256:38665e7d8290188b1e0d57d584eb8110951a9591363316dd41cf8686ab1d0abc"},
+    {file = "ujson-5.10.0-cp313-cp313-macosx_10_9_x86_64.whl", hash = "sha256:618efd84dc1acbd6bff8eaa736bb6c074bfa8b8a98f55b61c38d4ca2c1f7f287"},
+    {file = "ujson-5.10.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:38d5d36b4aedfe81dfe251f76c0467399d575d1395a1755de391e58985ab1c2e"},
+    {file = "ujson-5.10.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:67079b1f9fb29ed9a2914acf4ef6c02844b3153913eb735d4bf287ee1db6e557"},
+    {file = "ujson-5.10.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d7d0e0ceeb8fe2468c70ec0c37b439dd554e2aa539a8a56365fd761edb418988"},
+    {file = "ujson-5.10.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:59e02cd37bc7c44d587a0ba45347cc815fb7a5fe48de16bf05caa5f7d0d2e816"},
+    {file = "ujson-5.10.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:2a890b706b64e0065f02577bf6d8ca3b66c11a5e81fb75d757233a38c07a1f20"},
+    {file = "ujson-5.10.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:621e34b4632c740ecb491efc7f1fcb4f74b48ddb55e65221995e74e2d00bbff0"},
+    {file = "ujson-5.10.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:b9500e61fce0cfc86168b248104e954fead61f9be213087153d272e817ec7b4f"},
+    {file = "ujson-5.10.0-cp313-cp313-win32.whl", hash = "sha256:4c4fc16f11ac1612f05b6f5781b384716719547e142cfd67b65d035bd85af165"},
+    {file = "ujson-5.10.0-cp313-cp313-win_amd64.whl", hash = "sha256:4573fd1695932d4f619928fd09d5d03d917274381649ade4328091ceca175539"},
+    {file = "ujson-5.10.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:a984a3131da7f07563057db1c3020b1350a3e27a8ec46ccbfbf21e5928a43050"},
+    {file = "ujson-5.10.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:73814cd1b9db6fc3270e9d8fe3b19f9f89e78ee9d71e8bd6c9a626aeaeaf16bd"},
+    {file = "ujson-5.10.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:61e1591ed9376e5eddda202ec229eddc56c612b61ac6ad07f96b91460bb6c2fb"},
+    {file = "ujson-5.10.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d2c75269f8205b2690db4572a4a36fe47cd1338e4368bc73a7a0e48789e2e35a"},
+    {file = "ujson-5.10.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7223f41e5bf1f919cd8d073e35b229295aa8e0f7b5de07ed1c8fddac63a6bc5d"},
+    {file = "ujson-5.10.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:d4dc2fd6b3067c0782e7002ac3b38cf48608ee6366ff176bbd02cf969c9c20fe"},
+    {file = "ujson-5.10.0-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:232cc85f8ee3c454c115455195a205074a56ff42608fd6b942aa4c378ac14dd7"},
+    {file = "ujson-5.10.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:cc6139531f13148055d691e442e4bc6601f6dba1e6d521b1585d4788ab0bfad4"},
+    {file = "ujson-5.10.0-cp38-cp38-win32.whl", hash = "sha256:e7ce306a42b6b93ca47ac4a3b96683ca554f6d35dd8adc5acfcd55096c8dfcb8"},
+    {file = "ujson-5.10.0-cp38-cp38-win_amd64.whl", hash = "sha256:e82d4bb2138ab05e18f089a83b6564fee28048771eb63cdecf4b9b549de8a2cc"},
+    {file = "ujson-5.10.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:dfef2814c6b3291c3c5f10065f745a1307d86019dbd7ea50e83504950136ed5b"},
+    {file = "ujson-5.10.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:4734ee0745d5928d0ba3a213647f1c4a74a2a28edc6d27b2d6d5bd9fa4319e27"},
+    {file = "ujson-5.10.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d47ebb01bd865fdea43da56254a3930a413f0c5590372a1241514abae8aa7c76"},
+    {file = "ujson-5.10.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dee5e97c2496874acbf1d3e37b521dd1f307349ed955e62d1d2f05382bc36dd5"},
+    {file = "ujson-5.10.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7490655a2272a2d0b072ef16b0b58ee462f4973a8f6bbe64917ce5e0a256f9c0"},
+    {file = "ujson-5.10.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:ba17799fcddaddf5c1f75a4ba3fd6441f6a4f1e9173f8a786b42450851bd74f1"},
+    {file = "ujson-5.10.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:2aff2985cef314f21d0fecc56027505804bc78802c0121343874741650a4d3d1"},
+    {file = "ujson-5.10.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:ad88ac75c432674d05b61184178635d44901eb749786c8eb08c102330e6e8996"},
+    {file = "ujson-5.10.0-cp39-cp39-win32.whl", hash = "sha256:2544912a71da4ff8c4f7ab5606f947d7299971bdd25a45e008e467ca638d13c9"},
+    {file = "ujson-5.10.0-cp39-cp39-win_amd64.whl", hash = "sha256:3ff201d62b1b177a46f113bb43ad300b424b7847f9c5d38b1b4ad8f75d4a282a"},
+    {file = "ujson-5.10.0-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:5b6fee72fa77dc172a28f21693f64d93166534c263adb3f96c413ccc85ef6e64"},
+    {file = "ujson-5.10.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:61d0af13a9af01d9f26d2331ce49bb5ac1fb9c814964018ac8df605b5422dcb3"},
+    {file = "ujson-5.10.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ecb24f0bdd899d368b715c9e6664166cf694d1e57be73f17759573a6986dd95a"},
+    {file = "ujson-5.10.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fbd8fd427f57a03cff3ad6574b5e299131585d9727c8c366da4624a9069ed746"},
+    {file = "ujson-5.10.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:beeaf1c48e32f07d8820c705ff8e645f8afa690cca1544adba4ebfa067efdc88"},
+    {file = "ujson-5.10.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:baed37ea46d756aca2955e99525cc02d9181de67f25515c468856c38d52b5f3b"},
+    {file = "ujson-5.10.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:7663960f08cd5a2bb152f5ee3992e1af7690a64c0e26d31ba7b3ff5b2ee66337"},
+    {file = "ujson-5.10.0-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:d8640fb4072d36b08e95a3a380ba65779d356b2fee8696afeb7794cf0902d0a1"},
+    {file = "ujson-5.10.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:78778a3aa7aafb11e7ddca4e29f46bc5139131037ad628cc10936764282d6753"},
+    {file = "ujson-5.10.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b0111b27f2d5c820e7f2dbad7d48e3338c824e7ac4d2a12da3dc6061cc39c8e6"},
+    {file = "ujson-5.10.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:c66962ca7565605b355a9ed478292da628b8f18c0f2793021ca4425abf8b01e5"},
+    {file = "ujson-5.10.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:ba43cc34cce49cf2d4bc76401a754a81202d8aa926d0e2b79f0ee258cb15d3a4"},
+    {file = "ujson-5.10.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:ac56eb983edce27e7f51d05bc8dd820586c6e6be1c5216a6809b0c668bb312b8"},
+    {file = "ujson-5.10.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f44bd4b23a0e723bf8b10628288c2c7c335161d6840013d4d5de20e48551773b"},
+    {file = "ujson-5.10.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7c10f4654e5326ec14a46bcdeb2b685d4ada6911050aa8baaf3501e57024b804"},
+    {file = "ujson-5.10.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0de4971a89a762398006e844ae394bd46991f7c385d7a6a3b93ba229e6dac17e"},
+    {file = "ujson-5.10.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:e1402f0564a97d2a52310ae10a64d25bcef94f8dd643fcf5d310219d915484f7"},
+    {file = "ujson-5.10.0.tar.gz", hash = "sha256:b3cd8f3c5d8c7738257f1018880444f7b7d9b66232c64649f562d7ba86ad4bc1"},
+]
+
+[[package]]
+name = "uncurl"
+version = "0.0.11"
+description = "A library to convert curl requests to python-requests."
+optional = false
+python-versions = "*"
+files = [
+    {file = "uncurl-0.0.11-py3-none-any.whl", hash = "sha256:5961e93f07a5c9f2ef8ae4245bd92b0a6ce503c851de980f5b70080ae74cdc59"},
+    {file = "uncurl-0.0.11.tar.gz", hash = "sha256:530c9bbd4d118f4cde6194165ff484cc25b0661cd256f19e9d5fcb53fc077790"},
 ]
 
 [package.dependencies]
-tzdata = {version = "*", markers = "platform_system == \"Windows\""}
-
-[package.extras]
-devenv = ["check-manifest", "pytest (>=4.3)", "pytest-cov", "pytest-mock (>=3.3)", "zest.releaser"]
+pyperclip = "*"
+six = "*"
 
 [[package]]
 name = "unstructured"
-version = "0.12.5"
+version = "0.14.7"
 description = "A library that prepares raw documents for downstream ML tasks."
 optional = false
-python-versions = ">=3.9.0,<3.12"
+python-versions = "<3.13,>=3.9.0"
 files = [
-    {file = "unstructured-0.12.5-py3-none-any.whl", hash = "sha256:cce7de36964f556810adb8728d0639d8e9b3ef4567443877609f3c66a54e24d1"},
-    {file = "unstructured-0.12.5.tar.gz", hash = "sha256:5ea6c881049e7d98a88c07192bcb6ab750de41b4e3b594972ed1034bda99dbae"},
+    {file = "unstructured-0.14.7-py3-none-any.whl", hash = "sha256:78e029eb2dd3dc792989af2133cb5472e6a17a501cf415cd8c095f1a88763738"},
+    {file = "unstructured-0.14.7.tar.gz", hash = "sha256:219f6ae8a8c5a23e5e6944d3a78d1c7f162ee01e7c6034afe2e5052eef679918"},
 ]
 
 [package.dependencies]
@@ -8450,37 +9559,45 @@ emoji = "*"
 filetype = "*"
 langdetect = "*"
 lxml = "*"
+markdown = {version = "*", optional = true, markers = "extra == \"md\""}
 nltk = "*"
 numpy = "*"
+python-docx = {version = ">=1.1.2", optional = true, markers = "extra == \"docx\""}
 python-iso639 = "*"
 python-magic = "*"
+python-pptx = {version = "<=0.6.23", optional = true, markers = "extra == \"pptx\""}
 rapidfuzz = "*"
 requests = "*"
 tabulate = "*"
+tqdm = "*"
 typing-extensions = "*"
-unstructured-client = ">=0.15.1"
+unstructured-client = "*"
 wrapt = "*"
 
 [package.extras]
 airtable = ["pyairtable"]
-all-docs = ["markdown", "msg-parser", "networkx", "onnx", "openpyxl", "pandas", "pdf2image", "pdfminer.six", "pikepdf", "pillow-heif", "pypandoc", "pypdf", "python-docx", "python-pptx (<=0.6.23)", "unstructured-inference (==0.7.23)", "unstructured.pytesseract (>=0.3.12)", "xlrd"]
+all-docs = ["effdet", "google-cloud-vision", "markdown", "networkx", "onnx", "openpyxl", "pandas", "pdf2image", "pdfminer.six", "pikepdf", "pillow-heif", "pypandoc", "pypdf", "pytesseract", "python-docx (>=1.1.2)", "python-oxmsg", "python-pptx (<=0.6.23)", "unstructured-inference (==0.7.35)", "unstructured.pytesseract (>=0.3.12)", "xlrd"]
 astra = ["astrapy"]
 azure = ["adlfs", "fsspec"]
 azure-cognitive-search = ["azure-search-documents"]
 bedrock = ["boto3", "langchain-community"]
 biomed = ["bs4"]
 box = ["boxfs", "fsspec"]
-chroma = ["chromadb"]
+chroma = ["chromadb", "importlib-metadata (>=7.1.0)", "typer (<=0.9.0)"]
+clarifai = ["clarifai"]
 confluence = ["atlassian-python-api"]
 csv = ["pandas"]
 databricks-volumes = ["databricks-sdk"]
 delta-table = ["deltalake", "fsspec"]
 discord = ["discord-py"]
-doc = ["python-docx"]
-docx = ["python-docx"]
+doc = ["python-docx (>=1.1.2)"]
+docx = ["python-docx (>=1.1.2)"]
 dropbox = ["dropboxdrivefs", "fsspec"]
-elasticsearch = ["elasticsearch"]
+elasticsearch = ["elasticsearch[async]"]
 embed-huggingface = ["huggingface", "langchain-community", "sentence-transformers"]
+embed-octoai = ["openai", "tiktoken"]
+embed-vertexai = ["langchain", "langchain-community", "langchain-google-vertexai"]
+embed-voyageai = ["langchain", "langchain-voyageai"]
 epub = ["pypandoc"]
 gcs = ["bs4", "fsspec", "gcsfs"]
 github = ["pygithub (>1.58.0)"]
@@ -8488,22 +9605,22 @@ gitlab = ["python-gitlab"]
 google-drive = ["google-api-python-client"]
 hubspot = ["hubspot-api-client", "urllib3"]
 huggingface = ["langdetect", "sacremoses", "sentencepiece", "torch", "transformers"]
-image = ["onnx", "pdf2image", "pdfminer.six", "pikepdf", "pillow-heif", "pypdf", "unstructured-inference (==0.7.23)", "unstructured.pytesseract (>=0.3.12)"]
+image = ["effdet", "google-cloud-vision", "onnx", "pdf2image", "pdfminer.six", "pikepdf", "pillow-heif", "pypdf", "pytesseract", "unstructured-inference (==0.7.35)", "unstructured.pytesseract (>=0.3.12)"]
 jira = ["atlassian-python-api"]
-local-inference = ["markdown", "msg-parser", "networkx", "onnx", "openpyxl", "pandas", "pdf2image", "pdfminer.six", "pikepdf", "pillow-heif", "pypandoc", "pypdf", "python-docx", "python-pptx (<=0.6.23)", "unstructured-inference (==0.7.23)", "unstructured.pytesseract (>=0.3.12)", "xlrd"]
+local-inference = ["effdet", "google-cloud-vision", "markdown", "networkx", "onnx", "openpyxl", "pandas", "pdf2image", "pdfminer.six", "pikepdf", "pillow-heif", "pypandoc", "pypdf", "pytesseract", "python-docx (>=1.1.2)", "python-oxmsg", "python-pptx (<=0.6.23)", "unstructured-inference (==0.7.35)", "unstructured.pytesseract (>=0.3.12)", "xlrd"]
 md = ["markdown"]
 mongodb = ["pymongo"]
-msg = ["msg-parser"]
+msg = ["python-oxmsg"]
 notion = ["htmlBuilder", "notion-client"]
-odt = ["pypandoc", "python-docx"]
+odt = ["pypandoc", "python-docx (>=1.1.2)"]
 onedrive = ["Office365-REST-Python-Client", "bs4", "msal"]
 openai = ["langchain-community", "openai", "tiktoken"]
 opensearch = ["opensearch-py"]
 org = ["pypandoc"]
 outlook = ["Office365-REST-Python-Client", "msal"]
 paddleocr = ["unstructured.paddleocr (==2.6.1.3)"]
-pdf = ["onnx", "pdf2image", "pdfminer.six", "pikepdf", "pillow-heif", "pypdf", "unstructured-inference (==0.7.23)", "unstructured.pytesseract (>=0.3.12)"]
-pinecone = ["pinecone-client (==2.2.4)"]
+pdf = ["effdet", "google-cloud-vision", "onnx", "pdf2image", "pdfminer.six", "pikepdf", "pillow-heif", "pypdf", "pytesseract", "unstructured-inference (==0.7.35)", "unstructured.pytesseract (>=0.3.12)"]
+pinecone = ["pinecone-client (>=3.7.1)"]
 postgres = ["psycopg2-binary"]
 ppt = ["python-pptx (<=0.6.23)"]
 pptx = ["python-pptx (<=0.6.23)"]
@@ -8523,13 +9640,13 @@ xlsx = ["networkx", "openpyxl", "pandas", "xlrd"]
 
 [[package]]
 name = "unstructured-client"
-version = "0.22.0"
+version = "0.23.7"
 description = "Python Client SDK for Unstructured API"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "unstructured-client-0.22.0.tar.gz", hash = "sha256:d76351c456fcf4067f59135c09a35008a120103621a1ac94cf9448db28ef2e1e"},
-    {file = "unstructured_client-0.22.0-py3-none-any.whl", hash = "sha256:140f7dd8515cc9be3276f66d6fb08d235ea35a50d4eb38a6ef82b60fc3d2fea0"},
+    {file = "unstructured-client-0.23.7.tar.gz", hash = "sha256:9161ca25365764712b66cbb50e7cb22bc59a89a613de2bb2e2b171ef7b17e5b0"},
+    {file = "unstructured_client-0.23.7-py3-none-any.whl", hash = "sha256:95df14697b1f79cc2a4580c7f143bd463d3dd5fab605220d2e4888321342decb"},
 ]
 
 [package.dependencies]
@@ -8537,21 +9654,38 @@ certifi = ">=2023.7.22"
 charset-normalizer = ">=3.2.0"
 dataclasses-json = ">=0.6.4"
 deepdiff = ">=6.0"
+httpx = ">=0.27.0"
 idna = ">=3.4"
 jsonpath-python = ">=1.0.6"
 marshmallow = ">=3.19.0"
 mypy-extensions = ">=1.0.0"
+nest-asyncio = ">=1.6.0"
 packaging = ">=23.1"
 pypdf = ">=4.0"
 python-dateutil = ">=2.8.2"
 requests = ">=2.31.0"
+requests-toolbelt = ">=1.0.0"
 six = ">=1.16.0"
 typing-extensions = ">=4.7.1"
 typing-inspect = ">=0.9.0"
 urllib3 = ">=1.26.18"
 
 [package.extras]
-dev = ["pylint (==2.16.2)"]
+dev = ["pylint (==3.1.0)"]
+
+[[package]]
+name = "upstash-vector"
+version = "0.4.0"
+description = "Serverless Vector SDK from Upstash"
+optional = false
+python-versions = "<4.0,>=3.8"
+files = [
+    {file = "upstash_vector-0.4.0-py3-none-any.whl", hash = "sha256:1ba11d8fc7d036bf93fde741b862c9e04ad962397dc600d1dc7546b63a84da82"},
+    {file = "upstash_vector-0.4.0.tar.gz", hash = "sha256:a8ae11b2d3989c2615f1f06c66af39da763af7f7239b625fede621bf2fbb997d"},
+]
+
+[package.dependencies]
+httpx = ">=0.24.0,<0.28"
 
 [[package]]
 name = "uritemplate"
@@ -8566,29 +9700,41 @@ files = [
 
 [[package]]
 name = "urllib3"
-version = "1.26.18"
+version = "2.2.2"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
+python-versions = ">=3.8"
 files = [
-    {file = "urllib3-1.26.18-py2.py3-none-any.whl", hash = "sha256:34b97092d7e0a3a8cf7cd10e386f401b3737364026c45e622aa02903dffe0f07"},
-    {file = "urllib3-1.26.18.tar.gz", hash = "sha256:f8ecc1bba5667413457c529ab955bf8c67b45db799d159066261719e328580a0"},
+    {file = "urllib3-2.2.2-py3-none-any.whl", hash = "sha256:a448b2f64d686155468037e1ace9f2d2199776e17f0a46610480d311f73e3472"},
+    {file = "urllib3-2.2.2.tar.gz", hash = "sha256:dd505485549a7a552833da5e6063639d0d177c04f23bc3864e41e5dc5f612168"},
 ]
 
 [package.extras]
-brotli = ["brotli (==1.0.9)", "brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"]
-secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"]
-socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
+brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
+h2 = ["h2 (>=4,<5)"]
+socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
+zstd = ["zstandard (>=0.18.0)"]
+
+[[package]]
+name = "uuid6"
+version = "2024.1.12"
+description = "New time-based UUID formats which are suited for use as a database key"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "uuid6-2024.1.12-py3-none-any.whl", hash = "sha256:8150093c8d05a331bc0535bc5ef6cf57ac6eceb2404fd319bc10caee2e02c065"},
+    {file = "uuid6-2024.1.12.tar.gz", hash = "sha256:ed0afb3a973057575f9883201baefe402787ca5e11e1d24e377190f0c43f1993"},
+]
 
 [[package]]
 name = "uvicorn"
-version = "0.27.1"
+version = "0.30.1"
 description = "The lightning-fast ASGI server."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "uvicorn-0.27.1-py3-none-any.whl", hash = "sha256:5c89da2f3895767472a35556e539fd59f7edbe9b1e9c0e1c99eebeadc61838e4"},
-    {file = "uvicorn-0.27.1.tar.gz", hash = "sha256:3d9a267296243532db80c83a959a3400502165ade2c1338dea4e67915fd4745a"},
+    {file = "uvicorn-0.30.1-py3-none-any.whl", hash = "sha256:cd17daa7f3b9d7a24de3617820e634d0933b69eed8e33a516071174427238c81"},
+    {file = "uvicorn-0.30.1.tar.gz", hash = "sha256:d46cd8e0fd80240baffbcd9ec1012a712938754afcf81bce56c024c1656aece8"},
 ]
 
 [package.dependencies]
@@ -8652,13 +9798,13 @@ test = ["Cython (>=0.29.36,<0.30.0)", "aiohttp (==3.9.0b0)", "aiohttp (>=3.8.1)"
 
 [[package]]
 name = "validators"
-version = "0.28.1"
+version = "0.28.3"
 description = "Python Data Validation for Humans™"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "validators-0.28.1-py3-none-any.whl", hash = "sha256:890c98789ad884037f059af6ea915ec2d667129d509180c2c590b8009a4c4219"},
-    {file = "validators-0.28.1.tar.gz", hash = "sha256:5ac88e7916c3405f0ce38ac2ac82a477fcf4d90dbbeddd04c8193171fc17f7dc"},
+    {file = "validators-0.28.3-py3-none-any.whl", hash = "sha256:53cafa854f13850156259d9cc479b864ee901f6a96e6b109e6fc33f98f37d99f"},
+    {file = "validators-0.28.3.tar.gz", hash = "sha256:c6c79840bcde9ba77b19f6218f7738188115e27830cbaff43264bc4ed24c429d"},
 ]
 
 [[package]]
@@ -8672,88 +9818,122 @@ files = [
     {file = "vine-5.1.0.tar.gz", hash = "sha256:8b62e981d35c41049211cf62a0a1242d8c1ee9bd15bb196ce38aefd6799e61e0"},
 ]
 
+[[package]]
+name = "virtualenv"
+version = "20.26.3"
+description = "Virtual Python Environment builder"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "virtualenv-20.26.3-py3-none-any.whl", hash = "sha256:8cc4a31139e796e9a7de2cd5cf2489de1217193116a8fd42328f1bd65f434589"},
+    {file = "virtualenv-20.26.3.tar.gz", hash = "sha256:4c43a2a236279d9ea36a0d76f98d84bd6ca94ac4e0f4a3b9d46d05e10fea542a"},
+]
+
+[package.dependencies]
+distlib = ">=0.3.7,<1"
+filelock = ">=3.12.2,<4"
+platformdirs = ">=3.9.1,<5"
+
+[package.extras]
+docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2,!=7.3)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"]
+test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8)", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10)"]
+
+[[package]]
+name = "vulture"
+version = "2.11"
+description = "Find dead code"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "vulture-2.11-py2.py3-none-any.whl", hash = "sha256:12d745f7710ffbf6aeb8279ba9068a24d4e52e8ed333b8b044035c9d6b823aba"},
+    {file = "vulture-2.11.tar.gz", hash = "sha256:f0fbb60bce6511aad87ee0736c502456737490a82d919a44e6d92262cb35f1c2"},
+]
+
+[package.dependencies]
+tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
+
 [[package]]
 name = "watchfiles"
-version = "0.21.0"
+version = "0.22.0"
 description = "Simple, modern and high performance file watching and code reload in python."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "watchfiles-0.21.0-cp310-cp310-macosx_10_7_x86_64.whl", hash = "sha256:27b4035013f1ea49c6c0b42d983133b136637a527e48c132d368eb19bf1ac6aa"},
-    {file = "watchfiles-0.21.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c81818595eff6e92535ff32825f31c116f867f64ff8cdf6562cd1d6b2e1e8f3e"},
-    {file = "watchfiles-0.21.0-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:6c107ea3cf2bd07199d66f156e3ea756d1b84dfd43b542b2d870b77868c98c03"},
-    {file = "watchfiles-0.21.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0d9ac347653ebd95839a7c607608703b20bc07e577e870d824fa4801bc1cb124"},
-    {file = "watchfiles-0.21.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5eb86c6acb498208e7663ca22dbe68ca2cf42ab5bf1c776670a50919a56e64ab"},
-    {file = "watchfiles-0.21.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f564bf68404144ea6b87a78a3f910cc8de216c6b12a4cf0b27718bf4ec38d303"},
-    {file = "watchfiles-0.21.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3d0f32ebfaa9c6011f8454994f86108c2eb9c79b8b7de00b36d558cadcedaa3d"},
-    {file = "watchfiles-0.21.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b6d45d9b699ecbac6c7bd8e0a2609767491540403610962968d258fd6405c17c"},
-    {file = "watchfiles-0.21.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:aff06b2cac3ef4616e26ba17a9c250c1fe9dd8a5d907d0193f84c499b1b6e6a9"},
-    {file = "watchfiles-0.21.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:d9792dff410f266051025ecfaa927078b94cc7478954b06796a9756ccc7e14a9"},
-    {file = "watchfiles-0.21.0-cp310-none-win32.whl", hash = "sha256:214cee7f9e09150d4fb42e24919a1e74d8c9b8a9306ed1474ecaddcd5479c293"},
-    {file = "watchfiles-0.21.0-cp310-none-win_amd64.whl", hash = "sha256:1ad7247d79f9f55bb25ab1778fd47f32d70cf36053941f07de0b7c4e96b5d235"},
-    {file = "watchfiles-0.21.0-cp311-cp311-macosx_10_7_x86_64.whl", hash = "sha256:668c265d90de8ae914f860d3eeb164534ba2e836811f91fecc7050416ee70aa7"},
-    {file = "watchfiles-0.21.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:3a23092a992e61c3a6a70f350a56db7197242f3490da9c87b500f389b2d01eef"},
-    {file = "watchfiles-0.21.0-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:e7941bbcfdded9c26b0bf720cb7e6fd803d95a55d2c14b4bd1f6a2772230c586"},
-    {file = "watchfiles-0.21.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:11cd0c3100e2233e9c53106265da31d574355c288e15259c0d40a4405cbae317"},
-    {file = "watchfiles-0.21.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d78f30cbe8b2ce770160d3c08cff01b2ae9306fe66ce899b73f0409dc1846c1b"},
-    {file = "watchfiles-0.21.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6674b00b9756b0af620aa2a3346b01f8e2a3dc729d25617e1b89cf6af4a54eb1"},
-    {file = "watchfiles-0.21.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:fd7ac678b92b29ba630d8c842d8ad6c555abda1b9ef044d6cc092dacbfc9719d"},
-    {file = "watchfiles-0.21.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9c873345680c1b87f1e09e0eaf8cf6c891b9851d8b4d3645e7efe2ec20a20cc7"},
-    {file = "watchfiles-0.21.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:49f56e6ecc2503e7dbe233fa328b2be1a7797d31548e7a193237dcdf1ad0eee0"},
-    {file = "watchfiles-0.21.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:02d91cbac553a3ad141db016e3350b03184deaafeba09b9d6439826ee594b365"},
-    {file = "watchfiles-0.21.0-cp311-none-win32.whl", hash = "sha256:ebe684d7d26239e23d102a2bad2a358dedf18e462e8808778703427d1f584400"},
-    {file = "watchfiles-0.21.0-cp311-none-win_amd64.whl", hash = "sha256:4566006aa44cb0d21b8ab53baf4b9c667a0ed23efe4aaad8c227bfba0bf15cbe"},
-    {file = "watchfiles-0.21.0-cp311-none-win_arm64.whl", hash = "sha256:c550a56bf209a3d987d5a975cdf2063b3389a5d16caf29db4bdddeae49f22078"},
-    {file = "watchfiles-0.21.0-cp312-cp312-macosx_10_7_x86_64.whl", hash = "sha256:51ddac60b96a42c15d24fbdc7a4bfcd02b5a29c047b7f8bf63d3f6f5a860949a"},
-    {file = "watchfiles-0.21.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:511f0b034120cd1989932bf1e9081aa9fb00f1f949fbd2d9cab6264916ae89b1"},
-    {file = "watchfiles-0.21.0-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:cfb92d49dbb95ec7a07511bc9efb0faff8fe24ef3805662b8d6808ba8409a71a"},
-    {file = "watchfiles-0.21.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3f92944efc564867bbf841c823c8b71bb0be75e06b8ce45c084b46411475a915"},
-    {file = "watchfiles-0.21.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:642d66b75eda909fd1112d35c53816d59789a4b38c141a96d62f50a3ef9b3360"},
-    {file = "watchfiles-0.21.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d23bcd6c8eaa6324fe109d8cac01b41fe9a54b8c498af9ce464c1aeeb99903d6"},
-    {file = "watchfiles-0.21.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:18d5b4da8cf3e41895b34e8c37d13c9ed294954907929aacd95153508d5d89d7"},
-    {file = "watchfiles-0.21.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1b8d1eae0f65441963d805f766c7e9cd092f91e0c600c820c764a4ff71a0764c"},
-    {file = "watchfiles-0.21.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:1fd9a5205139f3c6bb60d11f6072e0552f0a20b712c85f43d42342d162be1235"},
-    {file = "watchfiles-0.21.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:a1e3014a625bcf107fbf38eece0e47fa0190e52e45dc6eee5a8265ddc6dc5ea7"},
-    {file = "watchfiles-0.21.0-cp312-none-win32.whl", hash = "sha256:9d09869f2c5a6f2d9df50ce3064b3391d3ecb6dced708ad64467b9e4f2c9bef3"},
-    {file = "watchfiles-0.21.0-cp312-none-win_amd64.whl", hash = "sha256:18722b50783b5e30a18a8a5db3006bab146d2b705c92eb9a94f78c72beb94094"},
-    {file = "watchfiles-0.21.0-cp312-none-win_arm64.whl", hash = "sha256:a3b9bec9579a15fb3ca2d9878deae789df72f2b0fdaf90ad49ee389cad5edab6"},
-    {file = "watchfiles-0.21.0-cp38-cp38-macosx_10_7_x86_64.whl", hash = "sha256:4ea10a29aa5de67de02256a28d1bf53d21322295cb00bd2d57fcd19b850ebd99"},
-    {file = "watchfiles-0.21.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:40bca549fdc929b470dd1dbfcb47b3295cb46a6d2c90e50588b0a1b3bd98f429"},
-    {file = "watchfiles-0.21.0-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:9b37a7ba223b2f26122c148bb8d09a9ff312afca998c48c725ff5a0a632145f7"},
-    {file = "watchfiles-0.21.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ec8c8900dc5c83650a63dd48c4d1d245343f904c4b64b48798c67a3767d7e165"},
-    {file = "watchfiles-0.21.0-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:8ad3fe0a3567c2f0f629d800409cd528cb6251da12e81a1f765e5c5345fd0137"},
-    {file = "watchfiles-0.21.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9d353c4cfda586db2a176ce42c88f2fc31ec25e50212650c89fdd0f560ee507b"},
-    {file = "watchfiles-0.21.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:83a696da8922314ff2aec02987eefb03784f473281d740bf9170181829133765"},
-    {file = "watchfiles-0.21.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5a03651352fc20975ee2a707cd2d74a386cd303cc688f407296064ad1e6d1562"},
-    {file = "watchfiles-0.21.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:3ad692bc7792be8c32918c699638b660c0de078a6cbe464c46e1340dadb94c19"},
-    {file = "watchfiles-0.21.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:06247538e8253975bdb328e7683f8515ff5ff041f43be6c40bff62d989b7d0b0"},
-    {file = "watchfiles-0.21.0-cp38-none-win32.whl", hash = "sha256:9a0aa47f94ea9a0b39dd30850b0adf2e1cd32a8b4f9c7aa443d852aacf9ca214"},
-    {file = "watchfiles-0.21.0-cp38-none-win_amd64.whl", hash = "sha256:8d5f400326840934e3507701f9f7269247f7c026d1b6cfd49477d2be0933cfca"},
-    {file = "watchfiles-0.21.0-cp39-cp39-macosx_10_7_x86_64.whl", hash = "sha256:7f762a1a85a12cc3484f77eee7be87b10f8c50b0b787bb02f4e357403cad0c0e"},
-    {file = "watchfiles-0.21.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:6e9be3ef84e2bb9710f3f777accce25556f4a71e15d2b73223788d528fcc2052"},
-    {file = "watchfiles-0.21.0-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:4c48a10d17571d1275701e14a601e36959ffada3add8cdbc9e5061a6e3579a5d"},
-    {file = "watchfiles-0.21.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6c889025f59884423428c261f212e04d438de865beda0b1e1babab85ef4c0f01"},
-    {file = "watchfiles-0.21.0-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:66fac0c238ab9a2e72d026b5fb91cb902c146202bbd29a9a1a44e8db7b710b6f"},
-    {file = "watchfiles-0.21.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b4a21f71885aa2744719459951819e7bf5a906a6448a6b2bbce8e9cc9f2c8128"},
-    {file = "watchfiles-0.21.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1c9198c989f47898b2c22201756f73249de3748e0fc9de44adaf54a8b259cc0c"},
-    {file = "watchfiles-0.21.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d8f57c4461cd24fda22493109c45b3980863c58a25b8bec885ca8bea6b8d4b28"},
-    {file = "watchfiles-0.21.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:853853cbf7bf9408b404754b92512ebe3e3a83587503d766d23e6bf83d092ee6"},
-    {file = "watchfiles-0.21.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:d5b1dc0e708fad9f92c296ab2f948af403bf201db8fb2eb4c8179db143732e49"},
-    {file = "watchfiles-0.21.0-cp39-none-win32.whl", hash = "sha256:59137c0c6826bd56c710d1d2bda81553b5e6b7c84d5a676747d80caf0409ad94"},
-    {file = "watchfiles-0.21.0-cp39-none-win_amd64.whl", hash = "sha256:6cb8fdc044909e2078c248986f2fc76f911f72b51ea4a4fbbf472e01d14faa58"},
-    {file = "watchfiles-0.21.0-pp310-pypy310_pp73-macosx_10_7_x86_64.whl", hash = "sha256:ab03a90b305d2588e8352168e8c5a1520b721d2d367f31e9332c4235b30b8994"},
-    {file = "watchfiles-0.21.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:927c589500f9f41e370b0125c12ac9e7d3a2fd166b89e9ee2828b3dda20bfe6f"},
-    {file = "watchfiles-0.21.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1bd467213195e76f838caf2c28cd65e58302d0254e636e7c0fca81efa4a2e62c"},
-    {file = "watchfiles-0.21.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:02b73130687bc3f6bb79d8a170959042eb56eb3a42df3671c79b428cd73f17cc"},
-    {file = "watchfiles-0.21.0-pp38-pypy38_pp73-macosx_10_7_x86_64.whl", hash = "sha256:08dca260e85ffae975448e344834d765983237ad6dc308231aa16e7933db763e"},
-    {file = "watchfiles-0.21.0-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:3ccceb50c611c433145502735e0370877cced72a6c70fd2410238bcbc7fe51d8"},
-    {file = "watchfiles-0.21.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:57d430f5fb63fea141ab71ca9c064e80de3a20b427ca2febcbfcef70ff0ce895"},
-    {file = "watchfiles-0.21.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0dd5fad9b9c0dd89904bbdea978ce89a2b692a7ee8a0ce19b940e538c88a809c"},
-    {file = "watchfiles-0.21.0-pp39-pypy39_pp73-macosx_10_7_x86_64.whl", hash = "sha256:be6dd5d52b73018b21adc1c5d28ac0c68184a64769052dfeb0c5d9998e7f56a2"},
-    {file = "watchfiles-0.21.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:b3cab0e06143768499384a8a5efb9c4dc53e19382952859e4802f294214f36ec"},
-    {file = "watchfiles-0.21.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8c6ed10c2497e5fedadf61e465b3ca12a19f96004c15dcffe4bd442ebadc2d85"},
-    {file = "watchfiles-0.21.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:43babacef21c519bc6631c5fce2a61eccdfc011b4bcb9047255e9620732c8097"},
-    {file = "watchfiles-0.21.0.tar.gz", hash = "sha256:c76c635fabf542bb78524905718c39f736a98e5ab25b23ec6d4abede1a85a6a3"},
+    {file = "watchfiles-0.22.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:da1e0a8caebf17976e2ffd00fa15f258e14749db5e014660f53114b676e68538"},
+    {file = "watchfiles-0.22.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:61af9efa0733dc4ca462347becb82e8ef4945aba5135b1638bfc20fad64d4f0e"},
+    {file = "watchfiles-0.22.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1d9188979a58a096b6f8090e816ccc3f255f137a009dd4bbec628e27696d67c1"},
+    {file = "watchfiles-0.22.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:2bdadf6b90c099ca079d468f976fd50062905d61fae183f769637cb0f68ba59a"},
+    {file = "watchfiles-0.22.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:067dea90c43bf837d41e72e546196e674f68c23702d3ef80e4e816937b0a3ffd"},
+    {file = "watchfiles-0.22.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bbf8a20266136507abf88b0df2328e6a9a7c7309e8daff124dda3803306a9fdb"},
+    {file = "watchfiles-0.22.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1235c11510ea557fe21be5d0e354bae2c655a8ee6519c94617fe63e05bca4171"},
+    {file = "watchfiles-0.22.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c2444dc7cb9d8cc5ab88ebe792a8d75709d96eeef47f4c8fccb6df7c7bc5be71"},
+    {file = "watchfiles-0.22.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:c5af2347d17ab0bd59366db8752d9e037982e259cacb2ba06f2c41c08af02c39"},
+    {file = "watchfiles-0.22.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:9624a68b96c878c10437199d9a8b7d7e542feddda8d5ecff58fdc8e67b460848"},
+    {file = "watchfiles-0.22.0-cp310-none-win32.whl", hash = "sha256:4b9f2a128a32a2c273d63eb1fdbf49ad64852fc38d15b34eaa3f7ca2f0d2b797"},
+    {file = "watchfiles-0.22.0-cp310-none-win_amd64.whl", hash = "sha256:2627a91e8110b8de2406d8b2474427c86f5a62bf7d9ab3654f541f319ef22bcb"},
+    {file = "watchfiles-0.22.0-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:8c39987a1397a877217be1ac0fb1d8b9f662c6077b90ff3de2c05f235e6a8f96"},
+    {file = "watchfiles-0.22.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:a927b3034d0672f62fb2ef7ea3c9fc76d063c4b15ea852d1db2dc75fe2c09696"},
+    {file = "watchfiles-0.22.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:052d668a167e9fc345c24203b104c313c86654dd6c0feb4b8a6dfc2462239249"},
+    {file = "watchfiles-0.22.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5e45fb0d70dda1623a7045bd00c9e036e6f1f6a85e4ef2c8ae602b1dfadf7550"},
+    {file = "watchfiles-0.22.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c49b76a78c156979759d759339fb62eb0549515acfe4fd18bb151cc07366629c"},
+    {file = "watchfiles-0.22.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c4a65474fd2b4c63e2c18ac67a0c6c66b82f4e73e2e4d940f837ed3d2fd9d4da"},
+    {file = "watchfiles-0.22.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1cc0cba54f47c660d9fa3218158b8963c517ed23bd9f45fe463f08262a4adae1"},
+    {file = "watchfiles-0.22.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:94ebe84a035993bb7668f58a0ebf998174fb723a39e4ef9fce95baabb42b787f"},
+    {file = "watchfiles-0.22.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:e0f0a874231e2839abbf473256efffe577d6ee2e3bfa5b540479e892e47c172d"},
+    {file = "watchfiles-0.22.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:213792c2cd3150b903e6e7884d40660e0bcec4465e00563a5fc03f30ea9c166c"},
+    {file = "watchfiles-0.22.0-cp311-none-win32.whl", hash = "sha256:b44b70850f0073b5fcc0b31ede8b4e736860d70e2dbf55701e05d3227a154a67"},
+    {file = "watchfiles-0.22.0-cp311-none-win_amd64.whl", hash = "sha256:00f39592cdd124b4ec5ed0b1edfae091567c72c7da1487ae645426d1b0ffcad1"},
+    {file = "watchfiles-0.22.0-cp311-none-win_arm64.whl", hash = "sha256:3218a6f908f6a276941422b035b511b6d0d8328edd89a53ae8c65be139073f84"},
+    {file = "watchfiles-0.22.0-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:c7b978c384e29d6c7372209cbf421d82286a807bbcdeb315427687f8371c340a"},
+    {file = "watchfiles-0.22.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:bd4c06100bce70a20c4b81e599e5886cf504c9532951df65ad1133e508bf20be"},
+    {file = "watchfiles-0.22.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:425440e55cd735386ec7925f64d5dde392e69979d4c8459f6bb4e920210407f2"},
+    {file = "watchfiles-0.22.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:68fe0c4d22332d7ce53ad094622b27e67440dacefbaedd29e0794d26e247280c"},
+    {file = "watchfiles-0.22.0-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a8a31bfd98f846c3c284ba694c6365620b637debdd36e46e1859c897123aa232"},
+    {file = "watchfiles-0.22.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:dc2e8fe41f3cac0660197d95216c42910c2b7e9c70d48e6d84e22f577d106fc1"},
+    {file = "watchfiles-0.22.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:55b7cc10261c2786c41d9207193a85c1db1b725cf87936df40972aab466179b6"},
+    {file = "watchfiles-0.22.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:28585744c931576e535860eaf3f2c0ec7deb68e3b9c5a85ca566d69d36d8dd27"},
+    {file = "watchfiles-0.22.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:00095dd368f73f8f1c3a7982a9801190cc88a2f3582dd395b289294f8975172b"},
+    {file = "watchfiles-0.22.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:52fc9b0dbf54d43301a19b236b4a4614e610605f95e8c3f0f65c3a456ffd7d35"},
+    {file = "watchfiles-0.22.0-cp312-none-win32.whl", hash = "sha256:581f0a051ba7bafd03e17127735d92f4d286af941dacf94bcf823b101366249e"},
+    {file = "watchfiles-0.22.0-cp312-none-win_amd64.whl", hash = "sha256:aec83c3ba24c723eac14225194b862af176d52292d271c98820199110e31141e"},
+    {file = "watchfiles-0.22.0-cp312-none-win_arm64.whl", hash = "sha256:c668228833c5619f6618699a2c12be057711b0ea6396aeaece4ded94184304ea"},
+    {file = "watchfiles-0.22.0-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:d47e9ef1a94cc7a536039e46738e17cce058ac1593b2eccdede8bf72e45f372a"},
+    {file = "watchfiles-0.22.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:28f393c1194b6eaadcdd8f941307fc9bbd7eb567995232c830f6aef38e8a6e88"},
+    {file = "watchfiles-0.22.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dd64f3a4db121bc161644c9e10a9acdb836853155a108c2446db2f5ae1778c3d"},
+    {file = "watchfiles-0.22.0-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:2abeb79209630da981f8ebca30a2c84b4c3516a214451bfc5f106723c5f45843"},
+    {file = "watchfiles-0.22.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4cc382083afba7918e32d5ef12321421ef43d685b9a67cc452a6e6e18920890e"},
+    {file = "watchfiles-0.22.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d048ad5d25b363ba1d19f92dcf29023988524bee6f9d952130b316c5802069cb"},
+    {file = "watchfiles-0.22.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:103622865599f8082f03af4214eaff90e2426edff5e8522c8f9e93dc17caee13"},
+    {file = "watchfiles-0.22.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d3e1f3cf81f1f823e7874ae563457828e940d75573c8fbf0ee66818c8b6a9099"},
+    {file = "watchfiles-0.22.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:8597b6f9dc410bdafc8bb362dac1cbc9b4684a8310e16b1ff5eee8725d13dcd6"},
+    {file = "watchfiles-0.22.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:0b04a2cbc30e110303baa6d3ddce8ca3664bc3403be0f0ad513d1843a41c97d1"},
+    {file = "watchfiles-0.22.0-cp38-none-win32.whl", hash = "sha256:b610fb5e27825b570554d01cec427b6620ce9bd21ff8ab775fc3a32f28bba63e"},
+    {file = "watchfiles-0.22.0-cp38-none-win_amd64.whl", hash = "sha256:fe82d13461418ca5e5a808a9e40f79c1879351fcaeddbede094028e74d836e86"},
+    {file = "watchfiles-0.22.0-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:3973145235a38f73c61474d56ad6199124e7488822f3a4fc97c72009751ae3b0"},
+    {file = "watchfiles-0.22.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:280a4afbc607cdfc9571b9904b03a478fc9f08bbeec382d648181c695648202f"},
+    {file = "watchfiles-0.22.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3a0d883351a34c01bd53cfa75cd0292e3f7e268bacf2f9e33af4ecede7e21d1d"},
+    {file = "watchfiles-0.22.0-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:9165bcab15f2b6d90eedc5c20a7f8a03156b3773e5fb06a790b54ccecdb73385"},
+    {file = "watchfiles-0.22.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:dc1b9b56f051209be458b87edb6856a449ad3f803315d87b2da4c93b43a6fe72"},
+    {file = "watchfiles-0.22.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8dc1fc25a1dedf2dd952909c8e5cb210791e5f2d9bc5e0e8ebc28dd42fed7562"},
+    {file = "watchfiles-0.22.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:dc92d2d2706d2b862ce0568b24987eba51e17e14b79a1abcd2edc39e48e743c8"},
+    {file = "watchfiles-0.22.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:97b94e14b88409c58cdf4a8eaf0e67dfd3ece7e9ce7140ea6ff48b0407a593ec"},
+    {file = "watchfiles-0.22.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:96eec15e5ea7c0b6eb5bfffe990fc7c6bd833acf7e26704eb18387fb2f5fd087"},
+    {file = "watchfiles-0.22.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:28324d6b28bcb8d7c1041648d7b63be07a16db5510bea923fc80b91a2a6cbed6"},
+    {file = "watchfiles-0.22.0-cp39-none-win32.whl", hash = "sha256:8c3e3675e6e39dc59b8fe5c914a19d30029e36e9f99468dddffd432d8a7b1c93"},
+    {file = "watchfiles-0.22.0-cp39-none-win_amd64.whl", hash = "sha256:25c817ff2a86bc3de3ed2df1703e3d24ce03479b27bb4527c57e722f8554d971"},
+    {file = "watchfiles-0.22.0-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:b810a2c7878cbdecca12feae2c2ae8af59bea016a78bc353c184fa1e09f76b68"},
+    {file = "watchfiles-0.22.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:f7e1f9c5d1160d03b93fc4b68a0aeb82fe25563e12fbcdc8507f8434ab6f823c"},
+    {file = "watchfiles-0.22.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:030bc4e68d14bcad2294ff68c1ed87215fbd9a10d9dea74e7cfe8a17869785ab"},
+    {file = "watchfiles-0.22.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ace7d060432acde5532e26863e897ee684780337afb775107c0a90ae8dbccfd2"},
+    {file = "watchfiles-0.22.0-pp38-pypy38_pp73-macosx_10_12_x86_64.whl", hash = "sha256:5834e1f8b71476a26df97d121c0c0ed3549d869124ed2433e02491553cb468c2"},
+    {file = "watchfiles-0.22.0-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:0bc3b2f93a140df6806c8467c7f51ed5e55a931b031b5c2d7ff6132292e803d6"},
+    {file = "watchfiles-0.22.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8fdebb655bb1ba0122402352b0a4254812717a017d2dc49372a1d47e24073795"},
+    {file = "watchfiles-0.22.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0c8e0aa0e8cc2a43561e0184c0513e291ca891db13a269d8d47cb9841ced7c71"},
+    {file = "watchfiles-0.22.0-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:2f350cbaa4bb812314af5dab0eb8d538481e2e2279472890864547f3fe2281ed"},
+    {file = "watchfiles-0.22.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:7a74436c415843af2a769b36bf043b6ccbc0f8d784814ba3d42fc961cdb0a9dc"},
+    {file = "watchfiles-0.22.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:00ad0bcd399503a84cc688590cdffbe7a991691314dde5b57b3ed50a41319a31"},
+    {file = "watchfiles-0.22.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:72a44e9481afc7a5ee3291b09c419abab93b7e9c306c9ef9108cb76728ca58d2"},
+    {file = "watchfiles-0.22.0.tar.gz", hash = "sha256:988e981aaab4f3955209e7e28c7794acdb690be1efa7f16f8ea5aba7ffdadacb"},
 ]
 
 [package.dependencies]
@@ -8772,13 +9952,13 @@ files = [
 
 [[package]]
 name = "weaviate-client"
-version = "4.5.7"
+version = "4.6.5"
 description = "A python native Weaviate client"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "weaviate_client-4.5.7-py3-none-any.whl", hash = "sha256:97958050d215ab64d702e5dd29206c4b855a3372d3ae22f784287a2d0ed085dc"},
-    {file = "weaviate_client-4.5.7.tar.gz", hash = "sha256:130f7371c4af31949e6f3537683813f0e5adb7ec94a5536e2278768c5fe057bf"},
+    {file = "weaviate_client-4.6.5-py3-none-any.whl", hash = "sha256:ed5b1c26c86081b5286e7b292de80e0380c964d34b4bffc842c1eb9dfadf7e15"},
+    {file = "weaviate_client-4.6.5.tar.gz", hash = "sha256:3926fd0c350c54b668b824f9085959904562821ebb6fc237b7e253daf4645904"},
 ]
 
 [package.dependencies]
@@ -8789,7 +9969,7 @@ grpcio-tools = ">=1.57.0,<2.0.0"
 httpx = ">=0.25.0,<=0.27.0"
 pydantic = ">=2.5.0,<3.0.0"
 requests = ">=2.30.0,<3.0.0"
-validators = "0.28.1"
+validators = "0.28.3"
 
 [[package]]
 name = "websocket-client"
@@ -8809,80 +9989,83 @@ test = ["websockets"]
 
 [[package]]
 name = "websockets"
-version = "10.4"
+version = "12.0"
 description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "websockets-10.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d58804e996d7d2307173d56c297cf7bc132c52df27a3efaac5e8d43e36c21c48"},
-    {file = "websockets-10.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bc0b82d728fe21a0d03e65f81980abbbcb13b5387f733a1a870672c5be26edab"},
-    {file = "websockets-10.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ba089c499e1f4155d2a3c2a05d2878a3428cf321c848f2b5a45ce55f0d7d310c"},
-    {file = "websockets-10.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:33d69ca7612f0ddff3316b0c7b33ca180d464ecac2d115805c044bf0a3b0d032"},
-    {file = "websockets-10.4-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:62e627f6b6d4aed919a2052efc408da7a545c606268d5ab5bfab4432734b82b4"},
-    {file = "websockets-10.4-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:38ea7b82bfcae927eeffc55d2ffa31665dc7fec7b8dc654506b8e5a518eb4d50"},
-    {file = "websockets-10.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:e0cb5cc6ece6ffa75baccfd5c02cffe776f3f5c8bf486811f9d3ea3453676ce8"},
-    {file = "websockets-10.4-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:ae5e95cfb53ab1da62185e23b3130e11d64431179debac6dc3c6acf08760e9b1"},
-    {file = "websockets-10.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:7c584f366f46ba667cfa66020344886cf47088e79c9b9d39c84ce9ea98aaa331"},
-    {file = "websockets-10.4-cp310-cp310-win32.whl", hash = "sha256:b029fb2032ae4724d8ae8d4f6b363f2cc39e4c7b12454df8df7f0f563ed3e61a"},
-    {file = "websockets-10.4-cp310-cp310-win_amd64.whl", hash = "sha256:8dc96f64ae43dde92530775e9cb169979f414dcf5cff670455d81a6823b42089"},
-    {file = "websockets-10.4-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:47a2964021f2110116cc1125b3e6d87ab5ad16dea161949e7244ec583b905bb4"},
-    {file = "websockets-10.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:e789376b52c295c4946403bd0efecf27ab98f05319df4583d3c48e43c7342c2f"},
-    {file = "websockets-10.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:7d3f0b61c45c3fa9a349cf484962c559a8a1d80dae6977276df8fd1fa5e3cb8c"},
-    {file = "websockets-10.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f55b5905705725af31ccef50e55391621532cd64fbf0bc6f4bac935f0fccec46"},
-    {file = "websockets-10.4-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:00c870522cdb69cd625b93f002961ffb0c095394f06ba8c48f17eef7c1541f96"},
-    {file = "websockets-10.4-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8f38706e0b15d3c20ef6259fd4bc1700cd133b06c3c1bb108ffe3f8947be15fa"},
-    {file = "websockets-10.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:f2c38d588887a609191d30e902df2a32711f708abfd85d318ca9b367258cfd0c"},
-    {file = "websockets-10.4-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:fe10ddc59b304cb19a1bdf5bd0a7719cbbc9fbdd57ac80ed436b709fcf889106"},
-    {file = "websockets-10.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:90fcf8929836d4a0e964d799a58823547df5a5e9afa83081761630553be731f9"},
-    {file = "websockets-10.4-cp311-cp311-win32.whl", hash = "sha256:b9968694c5f467bf67ef97ae7ad4d56d14be2751000c1207d31bf3bb8860bae8"},
-    {file = "websockets-10.4-cp311-cp311-win_amd64.whl", hash = "sha256:a7a240d7a74bf8d5cb3bfe6be7f21697a28ec4b1a437607bae08ac7acf5b4882"},
-    {file = "websockets-10.4-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:74de2b894b47f1d21cbd0b37a5e2b2392ad95d17ae983e64727e18eb281fe7cb"},
-    {file = "websockets-10.4-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e3a686ecb4aa0d64ae60c9c9f1a7d5d46cab9bfb5d91a2d303d00e2cd4c4c5cc"},
-    {file = "websockets-10.4-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b0d15c968ea7a65211e084f523151dbf8ae44634de03c801b8bd070b74e85033"},
-    {file = "websockets-10.4-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:00213676a2e46b6ebf6045bc11d0f529d9120baa6f58d122b4021ad92adabd41"},
-    {file = "websockets-10.4-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:e23173580d740bf8822fd0379e4bf30aa1d5a92a4f252d34e893070c081050df"},
-    {file = "websockets-10.4-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:dd500e0a5e11969cdd3320935ca2ff1e936f2358f9c2e61f100a1660933320ea"},
-    {file = "websockets-10.4-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:4239b6027e3d66a89446908ff3027d2737afc1a375f8fd3eea630a4842ec9a0c"},
-    {file = "websockets-10.4-cp37-cp37m-win32.whl", hash = "sha256:8a5cc00546e0a701da4639aa0bbcb0ae2bb678c87f46da01ac2d789e1f2d2038"},
-    {file = "websockets-10.4-cp37-cp37m-win_amd64.whl", hash = "sha256:a9f9a735deaf9a0cadc2d8c50d1a5bcdbae8b6e539c6e08237bc4082d7c13f28"},
-    {file = "websockets-10.4-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:5c1289596042fad2cdceb05e1ebf7aadf9995c928e0da2b7a4e99494953b1b94"},
-    {file = "websockets-10.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:0cff816f51fb33c26d6e2b16b5c7d48eaa31dae5488ace6aae468b361f422b63"},
-    {file = "websockets-10.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:dd9becd5fe29773d140d68d607d66a38f60e31b86df75332703757ee645b6faf"},
-    {file = "websockets-10.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:45ec8e75b7dbc9539cbfafa570742fe4f676eb8b0d3694b67dabe2f2ceed8aa6"},
-    {file = "websockets-10.4-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4f72e5cd0f18f262f5da20efa9e241699e0cf3a766317a17392550c9ad7b37d8"},
-    {file = "websockets-10.4-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:185929b4808b36a79c65b7865783b87b6841e852ef5407a2fb0c03381092fa3b"},
-    {file = "websockets-10.4-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:7d27a7e34c313b3a7f91adcd05134315002aaf8540d7b4f90336beafaea6217c"},
-    {file = "websockets-10.4-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:884be66c76a444c59f801ac13f40c76f176f1bfa815ef5b8ed44321e74f1600b"},
-    {file = "websockets-10.4-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:931c039af54fc195fe6ad536fde4b0de04da9d5916e78e55405436348cfb0e56"},
-    {file = "websockets-10.4-cp38-cp38-win32.whl", hash = "sha256:db3c336f9eda2532ec0fd8ea49fef7a8df8f6c804cdf4f39e5c5c0d4a4ad9a7a"},
-    {file = "websockets-10.4-cp38-cp38-win_amd64.whl", hash = "sha256:48c08473563323f9c9debac781ecf66f94ad5a3680a38fe84dee5388cf5acaf6"},
-    {file = "websockets-10.4-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:40e826de3085721dabc7cf9bfd41682dadc02286d8cf149b3ad05bff89311e4f"},
-    {file = "websockets-10.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:56029457f219ade1f2fc12a6504ea61e14ee227a815531f9738e41203a429112"},
-    {file = "websockets-10.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:f5fc088b7a32f244c519a048c170f14cf2251b849ef0e20cbbb0fdf0fdaf556f"},
-    {file = "websockets-10.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2fc8709c00704194213d45e455adc106ff9e87658297f72d544220e32029cd3d"},
-    {file = "websockets-10.4-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0154f7691e4fe6c2b2bc275b5701e8b158dae92a1ab229e2b940efe11905dff4"},
-    {file = "websockets-10.4-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4c6d2264f485f0b53adf22697ac11e261ce84805c232ed5dbe6b1bcb84b00ff0"},
-    {file = "websockets-10.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:9bc42e8402dc5e9905fb8b9649f57efcb2056693b7e88faa8fb029256ba9c68c"},
-    {file = "websockets-10.4-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:edc344de4dac1d89300a053ac973299e82d3db56330f3494905643bb68801269"},
-    {file = "websockets-10.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:84bc2a7d075f32f6ed98652db3a680a17a4edb21ca7f80fe42e38753a58ee02b"},
-    {file = "websockets-10.4-cp39-cp39-win32.whl", hash = "sha256:c94ae4faf2d09f7c81847c63843f84fe47bf6253c9d60b20f25edfd30fb12588"},
-    {file = "websockets-10.4-cp39-cp39-win_amd64.whl", hash = "sha256:bbccd847aa0c3a69b5f691a84d2341a4f8a629c6922558f2a70611305f902d74"},
-    {file = "websockets-10.4-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:82ff5e1cae4e855147fd57a2863376ed7454134c2bf49ec604dfe71e446e2193"},
-    {file = "websockets-10.4-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d210abe51b5da0ffdbf7b43eed0cfdff8a55a1ab17abbec4301c9ff077dd0342"},
-    {file = "websockets-10.4-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:942de28af58f352a6f588bc72490ae0f4ccd6dfc2bd3de5945b882a078e4e179"},
-    {file = "websockets-10.4-pp37-pypy37_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c9b27d6c1c6cd53dc93614967e9ce00ae7f864a2d9f99fe5ed86706e1ecbf485"},
-    {file = "websockets-10.4-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:3d3cac3e32b2c8414f4f87c1b2ab686fa6284a980ba283617404377cd448f631"},
-    {file = "websockets-10.4-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:da39dd03d130162deb63da51f6e66ed73032ae62e74aaccc4236e30edccddbb0"},
-    {file = "websockets-10.4-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:389f8dbb5c489e305fb113ca1b6bdcdaa130923f77485db5b189de343a179393"},
-    {file = "websockets-10.4-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:09a1814bb15eff7069e51fed0826df0bc0702652b5cb8f87697d469d79c23576"},
-    {file = "websockets-10.4-pp38-pypy38_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ff64a1d38d156d429404aaa84b27305e957fd10c30e5880d1765c9480bea490f"},
-    {file = "websockets-10.4-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:b343f521b047493dc4022dd338fc6db9d9282658862756b4f6fd0e996c1380e1"},
-    {file = "websockets-10.4-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:932af322458da7e4e35df32f050389e13d3d96b09d274b22a7aa1808f292fee4"},
-    {file = "websockets-10.4-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d6a4162139374a49eb18ef5b2f4da1dd95c994588f5033d64e0bbfda4b6b6fcf"},
-    {file = "websockets-10.4-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c57e4c1349fbe0e446c9fa7b19ed2f8a4417233b6984277cce392819123142d3"},
-    {file = "websockets-10.4-pp39-pypy39_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b627c266f295de9dea86bd1112ed3d5fafb69a348af30a2422e16590a8ecba13"},
-    {file = "websockets-10.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:05a7233089f8bd355e8cbe127c2e8ca0b4ea55467861906b80d2ebc7db4d6b72"},
-    {file = "websockets-10.4.tar.gz", hash = "sha256:eef610b23933c54d5d921c92578ae5f89813438fded840c2e9809d378dc765d3"},
+    {file = "websockets-12.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d554236b2a2006e0ce16315c16eaa0d628dab009c33b63ea03f41c6107958374"},
+    {file = "websockets-12.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2d225bb6886591b1746b17c0573e29804619c8f755b5598d875bb4235ea639be"},
+    {file = "websockets-12.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:eb809e816916a3b210bed3c82fb88eaf16e8afcf9c115ebb2bacede1797d2547"},
+    {file = "websockets-12.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c588f6abc13f78a67044c6b1273a99e1cf31038ad51815b3b016ce699f0d75c2"},
+    {file = "websockets-12.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5aa9348186d79a5f232115ed3fa9020eab66d6c3437d72f9d2c8ac0c6858c558"},
+    {file = "websockets-12.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6350b14a40c95ddd53e775dbdbbbc59b124a5c8ecd6fbb09c2e52029f7a9f480"},
+    {file = "websockets-12.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:70ec754cc2a769bcd218ed8d7209055667b30860ffecb8633a834dde27d6307c"},
+    {file = "websockets-12.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:6e96f5ed1b83a8ddb07909b45bd94833b0710f738115751cdaa9da1fb0cb66e8"},
+    {file = "websockets-12.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:4d87be612cbef86f994178d5186add3d94e9f31cc3cb499a0482b866ec477603"},
+    {file = "websockets-12.0-cp310-cp310-win32.whl", hash = "sha256:befe90632d66caaf72e8b2ed4d7f02b348913813c8b0a32fae1cc5fe3730902f"},
+    {file = "websockets-12.0-cp310-cp310-win_amd64.whl", hash = "sha256:363f57ca8bc8576195d0540c648aa58ac18cf85b76ad5202b9f976918f4219cf"},
+    {file = "websockets-12.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:5d873c7de42dea355d73f170be0f23788cf3fa9f7bed718fd2830eefedce01b4"},
+    {file = "websockets-12.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:3f61726cae9f65b872502ff3c1496abc93ffbe31b278455c418492016e2afc8f"},
+    {file = "websockets-12.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:ed2fcf7a07334c77fc8a230755c2209223a7cc44fc27597729b8ef5425aa61a3"},
+    {file = "websockets-12.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8e332c210b14b57904869ca9f9bf4ca32f5427a03eeb625da9b616c85a3a506c"},
+    {file = "websockets-12.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5693ef74233122f8ebab026817b1b37fe25c411ecfca084b29bc7d6efc548f45"},
+    {file = "websockets-12.0-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6e9e7db18b4539a29cc5ad8c8b252738a30e2b13f033c2d6e9d0549b45841c04"},
+    {file = "websockets-12.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:6e2df67b8014767d0f785baa98393725739287684b9f8d8a1001eb2839031447"},
+    {file = "websockets-12.0-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:bea88d71630c5900690fcb03161ab18f8f244805c59e2e0dc4ffadae0a7ee0ca"},
+    {file = "websockets-12.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:dff6cdf35e31d1315790149fee351f9e52978130cef6c87c4b6c9b3baf78bc53"},
+    {file = "websockets-12.0-cp311-cp311-win32.whl", hash = "sha256:3e3aa8c468af01d70332a382350ee95f6986db479ce7af14d5e81ec52aa2b402"},
+    {file = "websockets-12.0-cp311-cp311-win_amd64.whl", hash = "sha256:25eb766c8ad27da0f79420b2af4b85d29914ba0edf69f547cc4f06ca6f1d403b"},
+    {file = "websockets-12.0-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:0e6e2711d5a8e6e482cacb927a49a3d432345dfe7dea8ace7b5790df5932e4df"},
+    {file = "websockets-12.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:dbcf72a37f0b3316e993e13ecf32f10c0e1259c28ffd0a85cee26e8549595fbc"},
+    {file = "websockets-12.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:12743ab88ab2af1d17dd4acb4645677cb7063ef4db93abffbf164218a5d54c6b"},
+    {file = "websockets-12.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7b645f491f3c48d3f8a00d1fce07445fab7347fec54a3e65f0725d730d5b99cb"},
+    {file = "websockets-12.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9893d1aa45a7f8b3bc4510f6ccf8db8c3b62120917af15e3de247f0780294b92"},
+    {file = "websockets-12.0-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1f38a7b376117ef7aff996e737583172bdf535932c9ca021746573bce40165ed"},
+    {file = "websockets-12.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:f764ba54e33daf20e167915edc443b6f88956f37fb606449b4a5b10ba42235a5"},
+    {file = "websockets-12.0-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:1e4b3f8ea6a9cfa8be8484c9221ec0257508e3a1ec43c36acdefb2a9c3b00aa2"},
+    {file = "websockets-12.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:9fdf06fd06c32205a07e47328ab49c40fc1407cdec801d698a7c41167ea45113"},
+    {file = "websockets-12.0-cp312-cp312-win32.whl", hash = "sha256:baa386875b70cbd81798fa9f71be689c1bf484f65fd6fb08d051a0ee4e79924d"},
+    {file = "websockets-12.0-cp312-cp312-win_amd64.whl", hash = "sha256:ae0a5da8f35a5be197f328d4727dbcfafa53d1824fac3d96cdd3a642fe09394f"},
+    {file = "websockets-12.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:5f6ffe2c6598f7f7207eef9a1228b6f5c818f9f4d53ee920aacd35cec8110438"},
+    {file = "websockets-12.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:9edf3fc590cc2ec20dc9d7a45108b5bbaf21c0d89f9fd3fd1685e223771dc0b2"},
+    {file = "websockets-12.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:8572132c7be52632201a35f5e08348137f658e5ffd21f51f94572ca6c05ea81d"},
+    {file = "websockets-12.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:604428d1b87edbf02b233e2c207d7d528460fa978f9e391bd8aaf9c8311de137"},
+    {file = "websockets-12.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1a9d160fd080c6285e202327aba140fc9a0d910b09e423afff4ae5cbbf1c7205"},
+    {file = "websockets-12.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:87b4aafed34653e465eb77b7c93ef058516cb5acf3eb21e42f33928616172def"},
+    {file = "websockets-12.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:b2ee7288b85959797970114deae81ab41b731f19ebcd3bd499ae9ca0e3f1d2c8"},
+    {file = "websockets-12.0-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:7fa3d25e81bfe6a89718e9791128398a50dec6d57faf23770787ff441d851967"},
+    {file = "websockets-12.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:a571f035a47212288e3b3519944f6bf4ac7bc7553243e41eac50dd48552b6df7"},
+    {file = "websockets-12.0-cp38-cp38-win32.whl", hash = "sha256:3c6cc1360c10c17463aadd29dd3af332d4a1adaa8796f6b0e9f9df1fdb0bad62"},
+    {file = "websockets-12.0-cp38-cp38-win_amd64.whl", hash = "sha256:1bf386089178ea69d720f8db6199a0504a406209a0fc23e603b27b300fdd6892"},
+    {file = "websockets-12.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:ab3d732ad50a4fbd04a4490ef08acd0517b6ae6b77eb967251f4c263011a990d"},
+    {file = "websockets-12.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:a1d9697f3337a89691e3bd8dc56dea45a6f6d975f92e7d5f773bc715c15dde28"},
+    {file = "websockets-12.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:1df2fbd2c8a98d38a66f5238484405b8d1d16f929bb7a33ed73e4801222a6f53"},
+    {file = "websockets-12.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:23509452b3bc38e3a057382c2e941d5ac2e01e251acce7adc74011d7d8de434c"},
+    {file = "websockets-12.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2e5fc14ec6ea568200ea4ef46545073da81900a2b67b3e666f04adf53ad452ec"},
+    {file = "websockets-12.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:46e71dbbd12850224243f5d2aeec90f0aaa0f2dde5aeeb8fc8df21e04d99eff9"},
+    {file = "websockets-12.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:b81f90dcc6c85a9b7f29873beb56c94c85d6f0dac2ea8b60d995bd18bf3e2aae"},
+    {file = "websockets-12.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:a02413bc474feda2849c59ed2dfb2cddb4cd3d2f03a2fedec51d6e959d9b608b"},
+    {file = "websockets-12.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:bbe6013f9f791944ed31ca08b077e26249309639313fff132bfbf3ba105673b9"},
+    {file = "websockets-12.0-cp39-cp39-win32.whl", hash = "sha256:cbe83a6bbdf207ff0541de01e11904827540aa069293696dd528a6640bd6a5f6"},
+    {file = "websockets-12.0-cp39-cp39-win_amd64.whl", hash = "sha256:fc4e7fa5414512b481a2483775a8e8be7803a35b30ca805afa4998a84f9fd9e8"},
+    {file = "websockets-12.0-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:248d8e2446e13c1d4326e0a6a4e9629cb13a11195051a73acf414812700badbd"},
+    {file = "websockets-12.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f44069528d45a933997a6fef143030d8ca8042f0dfaad753e2906398290e2870"},
+    {file = "websockets-12.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c4e37d36f0d19f0a4413d3e18c0d03d0c268ada2061868c1e6f5ab1a6d575077"},
+    {file = "websockets-12.0-pp310-pypy310_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3d829f975fc2e527a3ef2f9c8f25e553eb7bc779c6665e8e1d52aa22800bb38b"},
+    {file = "websockets-12.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:2c71bd45a777433dd9113847af751aae36e448bc6b8c361a566cb043eda6ec30"},
+    {file = "websockets-12.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:0bee75f400895aef54157b36ed6d3b308fcab62e5260703add87f44cee9c82a6"},
+    {file = "websockets-12.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:423fc1ed29f7512fceb727e2d2aecb952c46aa34895e9ed96071821309951123"},
+    {file = "websockets-12.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:27a5e9964ef509016759f2ef3f2c1e13f403725a5e6a1775555994966a66e931"},
+    {file = "websockets-12.0-pp38-pypy38_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c3181df4583c4d3994d31fb235dc681d2aaad744fbdbf94c4802485ececdecf2"},
+    {file = "websockets-12.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:b067cb952ce8bf40115f6c19f478dc71c5e719b7fbaa511359795dfd9d1a6468"},
+    {file = "websockets-12.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:00700340c6c7ab788f176d118775202aadea7602c5cc6be6ae127761c16d6b0b"},
+    {file = "websockets-12.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e469d01137942849cff40517c97a30a93ae79917752b34029f0ec72df6b46399"},
+    {file = "websockets-12.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ffefa1374cd508d633646d51a8e9277763a9b78ae71324183693959cf94635a7"},
+    {file = "websockets-12.0-pp39-pypy39_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba0cab91b3956dfa9f512147860783a1829a8d905ee218a9837c18f683239611"},
+    {file = "websockets-12.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:2cb388a5bfb56df4d9a406783b7f9dbefb888c09b71629351cc6b036e9259370"},
+    {file = "websockets-12.0-py3-none-any.whl", hash = "sha256:dc284bbc8d7c78a6c69e0c7325ab46ee5e40bb4d50e494d8131a07ef47500e9e"},
+    {file = "websockets-12.0.tar.gz", hash = "sha256:81df9cbcbb6c260de1e007e58c011bfebe2dafc8435107b0537f393dd38c8b1b"},
 ]
 
 [[package]]
@@ -8916,16 +10099,6 @@ files = [
 beautifulsoup4 = "*"
 requests = ">=2.0.0,<3.0.0"
 
-[[package]]
-name = "win-unicode-console"
-version = "0.5"
-description = "Enable Unicode input and display when running Python from Windows console."
-optional = false
-python-versions = "*"
-files = [
-    {file = "win_unicode_console-0.5.zip", hash = "sha256:d4142d4d56d46f449d6f00536a73625a871cba040f0bc1a2e305a04578f07d1e"},
-]
-
 [[package]]
 name = "win32-setctime"
 version = "1.1.0"
@@ -9019,6 +10192,134 @@ files = [
     {file = "wrapt-1.16.0.tar.gz", hash = "sha256:5f370f952971e7d17c7d1ead40e49f32345a7f7a5373571ef44d800d06b1899d"},
 ]
 
+[[package]]
+name = "xlsxwriter"
+version = "3.2.0"
+description = "A Python module for creating Excel XLSX files."
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "XlsxWriter-3.2.0-py3-none-any.whl", hash = "sha256:ecfd5405b3e0e228219bcaf24c2ca0915e012ca9464a14048021d21a995d490e"},
+    {file = "XlsxWriter-3.2.0.tar.gz", hash = "sha256:9977d0c661a72866a61f9f7a809e25ebbb0fb7036baa3b9fe74afcfca6b3cb8c"},
+]
+
+[[package]]
+name = "xxhash"
+version = "3.4.1"
+description = "Python binding for xxHash"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "xxhash-3.4.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:91dbfa55346ad3e18e738742236554531a621042e419b70ad8f3c1d9c7a16e7f"},
+    {file = "xxhash-3.4.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:665a65c2a48a72068fcc4d21721510df5f51f1142541c890491afc80451636d2"},
+    {file = "xxhash-3.4.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bb11628470a6004dc71a09fe90c2f459ff03d611376c1debeec2d648f44cb693"},
+    {file = "xxhash-3.4.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5bef2a7dc7b4f4beb45a1edbba9b9194c60a43a89598a87f1a0226d183764189"},
+    {file = "xxhash-3.4.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9c0f7b2d547d72c7eda7aa817acf8791f0146b12b9eba1d4432c531fb0352228"},
+    {file = "xxhash-3.4.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:00f2fdef6b41c9db3d2fc0e7f94cb3db86693e5c45d6de09625caad9a469635b"},
+    {file = "xxhash-3.4.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:23cfd9ca09acaf07a43e5a695143d9a21bf00f5b49b15c07d5388cadf1f9ce11"},
+    {file = "xxhash-3.4.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:6a9ff50a3cf88355ca4731682c168049af1ca222d1d2925ef7119c1a78e95b3b"},
+    {file = "xxhash-3.4.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:f1d7c69a1e9ca5faa75546fdd267f214f63f52f12692f9b3a2f6467c9e67d5e7"},
+    {file = "xxhash-3.4.1-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:672b273040d5d5a6864a36287f3514efcd1d4b1b6a7480f294c4b1d1ee1b8de0"},
+    {file = "xxhash-3.4.1-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:4178f78d70e88f1c4a89ff1ffe9f43147185930bb962ee3979dba15f2b1cc799"},
+    {file = "xxhash-3.4.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:9804b9eb254d4b8cc83ab5a2002128f7d631dd427aa873c8727dba7f1f0d1c2b"},
+    {file = "xxhash-3.4.1-cp310-cp310-win32.whl", hash = "sha256:c09c49473212d9c87261d22c74370457cfff5db2ddfc7fd1e35c80c31a8c14ce"},
+    {file = "xxhash-3.4.1-cp310-cp310-win_amd64.whl", hash = "sha256:ebbb1616435b4a194ce3466d7247df23499475c7ed4eb2681a1fa42ff766aff6"},
+    {file = "xxhash-3.4.1-cp310-cp310-win_arm64.whl", hash = "sha256:25dc66be3db54f8a2d136f695b00cfe88018e59ccff0f3b8f545869f376a8a46"},
+    {file = "xxhash-3.4.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:58c49083801885273e262c0f5bbeac23e520564b8357fbb18fb94ff09d3d3ea5"},
+    {file = "xxhash-3.4.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:b526015a973bfbe81e804a586b703f163861da36d186627e27524f5427b0d520"},
+    {file = "xxhash-3.4.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:36ad4457644c91a966f6fe137d7467636bdc51a6ce10a1d04f365c70d6a16d7e"},
+    {file = "xxhash-3.4.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:248d3e83d119770f96003271fe41e049dd4ae52da2feb8f832b7a20e791d2920"},
+    {file = "xxhash-3.4.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2070b6d5bbef5ee031666cf21d4953c16e92c2f8a24a94b5c240f8995ba3b1d0"},
+    {file = "xxhash-3.4.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b2746035f518f0410915e247877f7df43ef3372bf36cfa52cc4bc33e85242641"},
+    {file = "xxhash-3.4.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2a8ba6181514681c2591840d5632fcf7356ab287d4aff1c8dea20f3c78097088"},
+    {file = "xxhash-3.4.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:0aac5010869240e95f740de43cd6a05eae180c59edd182ad93bf12ee289484fa"},
+    {file = "xxhash-3.4.1-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:4cb11d8debab1626181633d184b2372aaa09825bde709bf927704ed72765bed1"},
+    {file = "xxhash-3.4.1-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:b29728cff2c12f3d9f1d940528ee83918d803c0567866e062683f300d1d2eff3"},
+    {file = "xxhash-3.4.1-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:a15cbf3a9c40672523bdb6ea97ff74b443406ba0ab9bca10ceccd9546414bd84"},
+    {file = "xxhash-3.4.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:6e66df260fed01ed8ea790c2913271641c58481e807790d9fca8bfd5a3c13844"},
+    {file = "xxhash-3.4.1-cp311-cp311-win32.whl", hash = "sha256:e867f68a8f381ea12858e6d67378c05359d3a53a888913b5f7d35fbf68939d5f"},
+    {file = "xxhash-3.4.1-cp311-cp311-win_amd64.whl", hash = "sha256:200a5a3ad9c7c0c02ed1484a1d838b63edcf92ff538770ea07456a3732c577f4"},
+    {file = "xxhash-3.4.1-cp311-cp311-win_arm64.whl", hash = "sha256:1d03f1c0d16d24ea032e99f61c552cb2b77d502e545187338bea461fde253583"},
+    {file = "xxhash-3.4.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:c4bbba9b182697a52bc0c9f8ec0ba1acb914b4937cd4a877ad78a3b3eeabefb3"},
+    {file = "xxhash-3.4.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:9fd28a9da300e64e434cfc96567a8387d9a96e824a9be1452a1e7248b7763b78"},
+    {file = "xxhash-3.4.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6066d88c9329ab230e18998daec53d819daeee99d003955c8db6fc4971b45ca3"},
+    {file = "xxhash-3.4.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:93805bc3233ad89abf51772f2ed3355097a5dc74e6080de19706fc447da99cd3"},
+    {file = "xxhash-3.4.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:64da57d5ed586ebb2ecdde1e997fa37c27fe32fe61a656b77fabbc58e6fbff6e"},
+    {file = "xxhash-3.4.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7a97322e9a7440bf3c9805cbaac090358b43f650516486746f7fa482672593df"},
+    {file = "xxhash-3.4.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:bbe750d512982ee7d831838a5dee9e9848f3fb440e4734cca3f298228cc957a6"},
+    {file = "xxhash-3.4.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:fd79d4087727daf4d5b8afe594b37d611ab95dc8e29fe1a7517320794837eb7d"},
+    {file = "xxhash-3.4.1-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:743612da4071ff9aa4d055f3f111ae5247342931dedb955268954ef7201a71ff"},
+    {file = "xxhash-3.4.1-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:b41edaf05734092f24f48c0958b3c6cbaaa5b7e024880692078c6b1f8247e2fc"},
+    {file = "xxhash-3.4.1-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:a90356ead70d715fe64c30cd0969072de1860e56b78adf7c69d954b43e29d9fa"},
+    {file = "xxhash-3.4.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:ac56eebb364e44c85e1d9e9cc5f6031d78a34f0092fea7fc80478139369a8b4a"},
+    {file = "xxhash-3.4.1-cp312-cp312-win32.whl", hash = "sha256:911035345932a153c427107397c1518f8ce456f93c618dd1c5b54ebb22e73747"},
+    {file = "xxhash-3.4.1-cp312-cp312-win_amd64.whl", hash = "sha256:f31ce76489f8601cc7b8713201ce94b4bd7b7ce90ba3353dccce7e9e1fee71fa"},
+    {file = "xxhash-3.4.1-cp312-cp312-win_arm64.whl", hash = "sha256:b5beb1c6a72fdc7584102f42c4d9df232ee018ddf806e8c90906547dfb43b2da"},
+    {file = "xxhash-3.4.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:6d42b24d1496deb05dee5a24ed510b16de1d6c866c626c2beb11aebf3be278b9"},
+    {file = "xxhash-3.4.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3b685fab18876b14a8f94813fa2ca80cfb5ab6a85d31d5539b7cd749ce9e3624"},
+    {file = "xxhash-3.4.1-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:419ffe34c17ae2df019a4685e8d3934d46b2e0bbe46221ab40b7e04ed9f11137"},
+    {file = "xxhash-3.4.1-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:0e041ce5714f95251a88670c114b748bca3bf80cc72400e9f23e6d0d59cf2681"},
+    {file = "xxhash-3.4.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fc860d887c5cb2f524899fb8338e1bb3d5789f75fac179101920d9afddef284b"},
+    {file = "xxhash-3.4.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:312eba88ffe0a05e332e3a6f9788b73883752be63f8588a6dc1261a3eaaaf2b2"},
+    {file = "xxhash-3.4.1-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:e01226b6b6a1ffe4e6bd6d08cfcb3ca708b16f02eb06dd44f3c6e53285f03e4f"},
+    {file = "xxhash-3.4.1-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:9f3025a0d5d8cf406a9313cd0d5789c77433ba2004b1c75439b67678e5136537"},
+    {file = "xxhash-3.4.1-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:6d3472fd4afef2a567d5f14411d94060099901cd8ce9788b22b8c6f13c606a93"},
+    {file = "xxhash-3.4.1-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:43984c0a92f06cac434ad181f329a1445017c33807b7ae4f033878d860a4b0f2"},
+    {file = "xxhash-3.4.1-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:a55e0506fdb09640a82ec4f44171273eeabf6f371a4ec605633adb2837b5d9d5"},
+    {file = "xxhash-3.4.1-cp37-cp37m-win32.whl", hash = "sha256:faec30437919555b039a8bdbaba49c013043e8f76c999670aef146d33e05b3a0"},
+    {file = "xxhash-3.4.1-cp37-cp37m-win_amd64.whl", hash = "sha256:c9e1b646af61f1fc7083bb7b40536be944f1ac67ef5e360bca2d73430186971a"},
+    {file = "xxhash-3.4.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:961d948b7b1c1b6c08484bbce3d489cdf153e4122c3dfb07c2039621243d8795"},
+    {file = "xxhash-3.4.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:719a378930504ab159f7b8e20fa2aa1896cde050011af838af7e7e3518dd82de"},
+    {file = "xxhash-3.4.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:74fb5cb9406ccd7c4dd917f16630d2e5e8cbbb02fc2fca4e559b2a47a64f4940"},
+    {file = "xxhash-3.4.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5dab508ac39e0ab988039bc7f962c6ad021acd81fd29145962b068df4148c476"},
+    {file = "xxhash-3.4.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8c59f3e46e7daf4c589e8e853d700ef6607afa037bfad32c390175da28127e8c"},
+    {file = "xxhash-3.4.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8cc07256eff0795e0f642df74ad096f8c5d23fe66bc138b83970b50fc7f7f6c5"},
+    {file = "xxhash-3.4.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e9f749999ed80f3955a4af0eb18bb43993f04939350b07b8dd2f44edc98ffee9"},
+    {file = "xxhash-3.4.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:7688d7c02149a90a3d46d55b341ab7ad1b4a3f767be2357e211b4e893efbaaf6"},
+    {file = "xxhash-3.4.1-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:a8b4977963926f60b0d4f830941c864bed16aa151206c01ad5c531636da5708e"},
+    {file = "xxhash-3.4.1-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:8106d88da330f6535a58a8195aa463ef5281a9aa23b04af1848ff715c4398fb4"},
+    {file = "xxhash-3.4.1-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:4c76a77dbd169450b61c06fd2d5d436189fc8ab7c1571d39265d4822da16df22"},
+    {file = "xxhash-3.4.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:11f11357c86d83e53719c592021fd524efa9cf024dc7cb1dfb57bbbd0d8713f2"},
+    {file = "xxhash-3.4.1-cp38-cp38-win32.whl", hash = "sha256:0c786a6cd74e8765c6809892a0d45886e7c3dc54de4985b4a5eb8b630f3b8e3b"},
+    {file = "xxhash-3.4.1-cp38-cp38-win_amd64.whl", hash = "sha256:aabf37fb8fa27430d50507deeab2ee7b1bcce89910dd10657c38e71fee835594"},
+    {file = "xxhash-3.4.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:6127813abc1477f3a83529b6bbcfeddc23162cece76fa69aee8f6a8a97720562"},
+    {file = "xxhash-3.4.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ef2e194262f5db16075caea7b3f7f49392242c688412f386d3c7b07c7733a70a"},
+    {file = "xxhash-3.4.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:71be94265b6c6590f0018bbf73759d21a41c6bda20409782d8117e76cd0dfa8b"},
+    {file = "xxhash-3.4.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:10e0a619cdd1c0980e25eb04e30fe96cf8f4324758fa497080af9c21a6de573f"},
+    {file = "xxhash-3.4.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:fa122124d2e3bd36581dd78c0efa5f429f5220313479fb1072858188bc2d5ff1"},
+    {file = "xxhash-3.4.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e17032f5a4fea0a074717fe33477cb5ee723a5f428de7563e75af64bfc1b1e10"},
+    {file = "xxhash-3.4.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ca7783b20e3e4f3f52f093538895863f21d18598f9a48211ad757680c3bd006f"},
+    {file = "xxhash-3.4.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:d77d09a1113899fad5f354a1eb4f0a9afcf58cefff51082c8ad643ff890e30cf"},
+    {file = "xxhash-3.4.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:21287bcdd299fdc3328cc0fbbdeaa46838a1c05391264e51ddb38a3f5b09611f"},
+    {file = "xxhash-3.4.1-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:dfd7a6cc483e20b4ad90224aeb589e64ec0f31e5610ab9957ff4314270b2bf31"},
+    {file = "xxhash-3.4.1-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:543c7fcbc02bbb4840ea9915134e14dc3dc15cbd5a30873a7a5bf66039db97ec"},
+    {file = "xxhash-3.4.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:fe0a98d990e433013f41827b62be9ab43e3cf18e08b1483fcc343bda0d691182"},
+    {file = "xxhash-3.4.1-cp39-cp39-win32.whl", hash = "sha256:b9097af00ebf429cc7c0e7d2fdf28384e4e2e91008130ccda8d5ae653db71e54"},
+    {file = "xxhash-3.4.1-cp39-cp39-win_amd64.whl", hash = "sha256:d699b921af0dcde50ab18be76c0d832f803034d80470703700cb7df0fbec2832"},
+    {file = "xxhash-3.4.1-cp39-cp39-win_arm64.whl", hash = "sha256:2be491723405e15cc099ade1280133ccfbf6322d2ef568494fb7d07d280e7eee"},
+    {file = "xxhash-3.4.1-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:431625fad7ab5649368c4849d2b49a83dc711b1f20e1f7f04955aab86cd307bc"},
+    {file = "xxhash-3.4.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fc6dbd5fc3c9886a9e041848508b7fb65fd82f94cc793253990f81617b61fe49"},
+    {file = "xxhash-3.4.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f3ff8dbd0ec97aec842476cb8ccc3e17dd288cd6ce3c8ef38bff83d6eb927817"},
+    {file = "xxhash-3.4.1-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ef73a53fe90558a4096e3256752268a8bdc0322f4692ed928b6cd7ce06ad4fe3"},
+    {file = "xxhash-3.4.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:450401f42bbd274b519d3d8dcf3c57166913381a3d2664d6609004685039f9d3"},
+    {file = "xxhash-3.4.1-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:a162840cf4de8a7cd8720ff3b4417fbc10001eefdd2d21541a8226bb5556e3bb"},
+    {file = "xxhash-3.4.1-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b736a2a2728ba45017cb67785e03125a79d246462dfa892d023b827007412c52"},
+    {file = "xxhash-3.4.1-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1d0ae4c2e7698adef58710d6e7a32ff518b66b98854b1c68e70eee504ad061d8"},
+    {file = "xxhash-3.4.1-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d6322c4291c3ff174dcd104fae41500e75dad12be6f3085d119c2c8a80956c51"},
+    {file = "xxhash-3.4.1-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:dd59ed668801c3fae282f8f4edadf6dc7784db6d18139b584b6d9677ddde1b6b"},
+    {file = "xxhash-3.4.1-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:92693c487e39523a80474b0394645b393f0ae781d8db3474ccdcead0559ccf45"},
+    {file = "xxhash-3.4.1-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4603a0f642a1e8d7f3ba5c4c25509aca6a9c1cc16f85091004a7028607ead663"},
+    {file = "xxhash-3.4.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6fa45e8cbfbadb40a920fe9ca40c34b393e0b067082d94006f7f64e70c7490a6"},
+    {file = "xxhash-3.4.1-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:595b252943b3552de491ff51e5bb79660f84f033977f88f6ca1605846637b7c6"},
+    {file = "xxhash-3.4.1-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:562d8b8f783c6af969806aaacf95b6c7b776929ae26c0cd941d54644ea7ef51e"},
+    {file = "xxhash-3.4.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:41ddeae47cf2828335d8d991f2d2b03b0bdc89289dc64349d712ff8ce59d0647"},
+    {file = "xxhash-3.4.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c44d584afdf3c4dbb3277e32321d1a7b01d6071c1992524b6543025fb8f4206f"},
+    {file = "xxhash-3.4.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fd7bddb3a5b86213cc3f2c61500c16945a1b80ecd572f3078ddbbe68f9dabdfb"},
+    {file = "xxhash-3.4.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9ecb6c987b62437c2f99c01e97caf8d25660bf541fe79a481d05732e5236719c"},
+    {file = "xxhash-3.4.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:696b4e18b7023527d5c50ed0626ac0520edac45a50ec7cf3fc265cd08b1f4c03"},
+    {file = "xxhash-3.4.1.tar.gz", hash = "sha256:0379d6cf1ff987cd421609a264ce025e74f346e3e145dd106c0cc2e3ec3f99a9"},
+]
+
 [[package]]
 name = "yarl"
 version = "1.9.4"
@@ -9122,6 +10423,20 @@ files = [
 idna = ">=2.0"
 multidict = ">=4.0"
 
+[[package]]
+name = "youtube-transcript-api"
+version = "0.6.2"
+description = "This is an python API which allows you to get the transcripts/subtitles for a given YouTube video. It also works for automatically generated subtitles, supports translating subtitles and it does not require a headless browser, like other selenium based solutions do!"
+optional = false
+python-versions = "*"
+files = [
+    {file = "youtube_transcript_api-0.6.2-py3-none-any.whl", hash = "sha256:019dbf265c6a68a0591c513fff25ed5a116ce6525832aefdfb34d4df5567121c"},
+    {file = "youtube_transcript_api-0.6.2.tar.gz", hash = "sha256:cad223d7620633cec44f657646bffc8bbc5598bd8e70b1ad2fa8277dec305eb7"},
+]
+
+[package.dependencies]
+requests = "*"
+
 [[package]]
 name = "zep-python"
 version = "2.0.0rc6"
@@ -9139,18 +10454,18 @@ pydantic = ">=2.0.0"
 
 [[package]]
 name = "zipp"
-version = "3.18.1"
+version = "3.19.2"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "zipp-3.18.1-py3-none-any.whl", hash = "sha256:206f5a15f2af3dbaee80769fb7dc6f249695e940acca08dfb2a4769fe61e538b"},
-    {file = "zipp-3.18.1.tar.gz", hash = "sha256:2884ed22e7d8961de1c9a05142eb69a247f120291bc0206a00a7642f09b5b715"},
+    {file = "zipp-3.19.2-py3-none-any.whl", hash = "sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c"},
+    {file = "zipp-3.19.2.tar.gz", hash = "sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19"},
 ]
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
 
 [[package]]
 name = "zope-event"
@@ -9172,47 +10487,47 @@ test = ["zope.testrunner"]
 
 [[package]]
 name = "zope-interface"
-version = "6.3"
+version = "6.4.post2"
 description = "Interfaces for Python"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "zope.interface-6.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2f32010ffb87759c6a3ad1c65ed4d2e38e51f6b430a1ca11cee901ec2b42e021"},
-    {file = "zope.interface-6.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e78a183a3c2f555c2ad6aaa1ab572d1c435ba42f1dc3a7e8c82982306a19b785"},
-    {file = "zope.interface-6.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:afa0491a9f154cf8519a02026dc85a416192f4cb1efbbf32db4a173ba28b289a"},
-    {file = "zope.interface-6.3-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:62e32f02b3f26204d9c02c3539c802afc3eefb19d601a0987836ed126efb1f21"},
-    {file = "zope.interface-6.3-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c40df4aea777be321b7e68facb901bc67317e94b65d9ab20fb96e0eb3c0b60a1"},
-    {file = "zope.interface-6.3-cp310-cp310-win_amd64.whl", hash = "sha256:46034be614d1f75f06e7dcfefba21d609b16b38c21fc912b01a99cb29e58febb"},
-    {file = "zope.interface-6.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:600101f43a7582d5b9504a7c629a1185a849ce65e60fca0f6968dfc4b76b6d39"},
-    {file = "zope.interface-6.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:4d6b229f5e1a6375f206455cc0a63a8e502ed190fe7eb15e94a312dc69d40299"},
-    {file = "zope.interface-6.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:10cde8dc6b2fd6a1d0b5ca4be820063e46ddba417ab82bcf55afe2227337b130"},
-    {file = "zope.interface-6.3-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:40aa8c8e964d47d713b226c5baf5f13cdf3a3169c7a2653163b17ff2e2334d10"},
-    {file = "zope.interface-6.3-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d165d7774d558ea971cb867739fb334faf68fc4756a784e689e11efa3becd59e"},
-    {file = "zope.interface-6.3-cp311-cp311-win_amd64.whl", hash = "sha256:69dedb790530c7ca5345899a1b4cb837cc53ba669051ea51e8c18f82f9389061"},
-    {file = "zope.interface-6.3-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:8d407e0fd8015f6d5dfad481309638e1968d70e6644e0753f229154667dd6cd5"},
-    {file = "zope.interface-6.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:72d5efecad16c619a97744a4f0b67ce1bcc88115aa82fcf1dc5be9bb403bcc0b"},
-    {file = "zope.interface-6.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:567d54c06306f9c5b6826190628d66753b9f2b0422f4c02d7c6d2b97ebf0a24e"},
-    {file = "zope.interface-6.3-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:483e118b1e075f1819b3c6ace082b9d7d3a6a5eb14b2b375f1b80a0868117920"},
-    {file = "zope.interface-6.3-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2bb78c12c1ad3a20c0d981a043d133299117b6854f2e14893b156979ed4e1d2c"},
-    {file = "zope.interface-6.3-cp312-cp312-win_amd64.whl", hash = "sha256:ad4524289d8dbd6fb5aa17aedb18f5643e7d48358f42c007a5ee51a2afc2a7c5"},
-    {file = "zope.interface-6.3-cp37-cp37m-macosx_11_0_x86_64.whl", hash = "sha256:a56fe1261230093bfeedc1c1a6cd6f3ec568f9b07f031c9a09f46b201f793a85"},
-    {file = "zope.interface-6.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:014bb94fe6bf1786da1aa044eadf65bc6437bcb81c451592987e5be91e70a91e"},
-    {file = "zope.interface-6.3-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:22e8a218e8e2d87d4d9342aa973b7915297a08efbebea5b25900c73e78ed468e"},
-    {file = "zope.interface-6.3-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f95bebd0afe86b2adc074df29edb6848fc4d474ff24075e2c263d698774e108d"},
-    {file = "zope.interface-6.3-cp37-cp37m-win_amd64.whl", hash = "sha256:d0e7321557c702bd92dac3c66a2f22b963155fdb4600133b6b29597f62b71b12"},
-    {file = "zope.interface-6.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:187f7900b63845dcdef1be320a523dbbdba94d89cae570edc2781eb55f8c2f86"},
-    {file = "zope.interface-6.3-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:a058e6cf8d68a5a19cb5449f42a404f0d6c2778b897e6ce8fadda9cea308b1b0"},
-    {file = "zope.interface-6.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e8fa0fb05083a1a4216b4b881fdefa71c5d9a106e9b094cd4399af6b52873e91"},
-    {file = "zope.interface-6.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:26c9a37fb395a703e39b11b00b9e921c48f82b6e32cc5851ad5d0618cd8876b5"},
-    {file = "zope.interface-6.3-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1b0c4c90e5eefca2c3e045d9f9ed9f1e2cdbe70eb906bff6b247e17119ad89a1"},
-    {file = "zope.interface-6.3-cp38-cp38-win_amd64.whl", hash = "sha256:5683aa8f2639016fd2b421df44301f10820e28a9b96382a6e438e5c6427253af"},
-    {file = "zope.interface-6.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:2c3cfb272bcb83650e6695d49ae0d14dd06dc694789a3d929f23758557a23d92"},
-    {file = "zope.interface-6.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:01a0b3dd012f584afcf03ed814bce0fc40ed10e47396578621509ac031be98bf"},
-    {file = "zope.interface-6.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4137025731e824eee8d263b20682b28a0bdc0508de9c11d6c6be54163e5b7c83"},
-    {file = "zope.interface-6.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3c8731596198198746f7ce2a4487a0edcbc9ea5e5918f0ab23c4859bce56055c"},
-    {file = "zope.interface-6.3-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bf34840e102d1d0b2d39b1465918d90b312b1119552cebb61a242c42079817b9"},
-    {file = "zope.interface-6.3-cp39-cp39-win_amd64.whl", hash = "sha256:a1adc14a2a9d5e95f76df625a9b39f4709267a483962a572e3f3001ef90ea6e6"},
-    {file = "zope.interface-6.3.tar.gz", hash = "sha256:f83d6b4b22262d9a826c3bd4b2fbfafe1d0000f085ef8e44cd1328eea274ae6a"},
+    {file = "zope.interface-6.4.post2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2eccd5bef45883802848f821d940367c1d0ad588de71e5cabe3813175444202c"},
+    {file = "zope.interface-6.4.post2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:762e616199f6319bb98e7f4f27d254c84c5fb1c25c908c2a9d0f92b92fb27530"},
+    {file = "zope.interface-6.4.post2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5ef8356f16b1a83609f7a992a6e33d792bb5eff2370712c9eaae0d02e1924341"},
+    {file = "zope.interface-6.4.post2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0e4fa5d34d7973e6b0efa46fe4405090f3b406f64b6290facbb19dcbf642ad6b"},
+    {file = "zope.interface-6.4.post2-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d22fce0b0f5715cdac082e35a9e735a1752dc8585f005d045abb1a7c20e197f9"},
+    {file = "zope.interface-6.4.post2-cp310-cp310-win_amd64.whl", hash = "sha256:97e615eab34bd8477c3f34197a17ce08c648d38467489359cb9eb7394f1083f7"},
+    {file = "zope.interface-6.4.post2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:599f3b07bde2627e163ce484d5497a54a0a8437779362395c6b25e68c6590ede"},
+    {file = "zope.interface-6.4.post2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:136cacdde1a2c5e5bc3d0b2a1beed733f97e2dad8c2ad3c2e17116f6590a3827"},
+    {file = "zope.interface-6.4.post2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:47937cf2e7ed4e0e37f7851c76edeb8543ec9b0eae149b36ecd26176ff1ca874"},
+    {file = "zope.interface-6.4.post2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6f0a6be264afb094975b5ef55c911379d6989caa87c4e558814ec4f5125cfa2e"},
+    {file = "zope.interface-6.4.post2-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:47654177e675bafdf4e4738ce58cdc5c6d6ee2157ac0a78a3fa460942b9d64a8"},
+    {file = "zope.interface-6.4.post2-cp311-cp311-win_amd64.whl", hash = "sha256:e2fb8e8158306567a3a9a41670c1ff99d0567d7fc96fa93b7abf8b519a46b250"},
+    {file = "zope.interface-6.4.post2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:b912750b13d76af8aac45ddf4679535def304b2a48a07989ec736508d0bbfbde"},
+    {file = "zope.interface-6.4.post2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:4ac46298e0143d91e4644a27a769d1388d5d89e82ee0cf37bf2b0b001b9712a4"},
+    {file = "zope.interface-6.4.post2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:86a94af4a88110ed4bb8961f5ac72edf782958e665d5bfceaab6bf388420a78b"},
+    {file = "zope.interface-6.4.post2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:73f9752cf3596771c7726f7eea5b9e634ad47c6d863043589a1c3bb31325c7eb"},
+    {file = "zope.interface-6.4.post2-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:00b5c3e9744dcdc9e84c24ed6646d5cf0cf66551347b310b3ffd70f056535854"},
+    {file = "zope.interface-6.4.post2-cp312-cp312-win_amd64.whl", hash = "sha256:551db2fe892fcbefb38f6f81ffa62de11090c8119fd4e66a60f3adff70751ec7"},
+    {file = "zope.interface-6.4.post2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e96ac6b3169940a8cd57b4f2b8edcad8f5213b60efcd197d59fbe52f0accd66e"},
+    {file = "zope.interface-6.4.post2-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:cebff2fe5dc82cb22122e4e1225e00a4a506b1a16fafa911142ee124febf2c9e"},
+    {file = "zope.interface-6.4.post2-cp313-cp313-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:33ee982237cffaf946db365c3a6ebaa37855d8e3ca5800f6f48890209c1cfefc"},
+    {file = "zope.interface-6.4.post2-cp37-cp37m-macosx_11_0_x86_64.whl", hash = "sha256:fbf649bc77510ef2521cf797700b96167bb77838c40780da7ea3edd8b78044d1"},
+    {file = "zope.interface-6.4.post2-cp37-cp37m-win_amd64.whl", hash = "sha256:4c0b208a5d6c81434bdfa0f06d9b667e5de15af84d8cae5723c3a33ba6611b82"},
+    {file = "zope.interface-6.4.post2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:d3fe667935e9562407c2511570dca14604a654988a13d8725667e95161d92e9b"},
+    {file = "zope.interface-6.4.post2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:a96e6d4074db29b152222c34d7eec2e2db2f92638d2b2b2c704f9e8db3ae0edc"},
+    {file = "zope.interface-6.4.post2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:866a0f583be79f0def667a5d2c60b7b4cc68f0c0a470f227e1122691b443c934"},
+    {file = "zope.interface-6.4.post2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5fe919027f29b12f7a2562ba0daf3e045cb388f844e022552a5674fcdf5d21f1"},
+    {file = "zope.interface-6.4.post2-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8e0343a6e06d94f6b6ac52fbc75269b41dd3c57066541a6c76517f69fe67cb43"},
+    {file = "zope.interface-6.4.post2-cp38-cp38-win_amd64.whl", hash = "sha256:dabb70a6e3d9c22df50e08dc55b14ca2a99da95a2d941954255ac76fd6982bc5"},
+    {file = "zope.interface-6.4.post2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:706efc19f9679a1b425d6fa2b4bc770d976d0984335eaea0869bd32f627591d2"},
+    {file = "zope.interface-6.4.post2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:3d136e5b8821073e1a09dde3eb076ea9988e7010c54ffe4d39701adf0c303438"},
+    {file = "zope.interface-6.4.post2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1730c93a38b5a18d24549bc81613223962a19d457cfda9bdc66e542f475a36f4"},
+    {file = "zope.interface-6.4.post2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:bc2676312cc3468a25aac001ec727168994ea3b69b48914944a44c6a0b251e79"},
+    {file = "zope.interface-6.4.post2-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1a62fd6cd518693568e23e02f41816adedfca637f26716837681c90b36af3671"},
+    {file = "zope.interface-6.4.post2-cp39-cp39-win_amd64.whl", hash = "sha256:d3f7e001328bd6466b3414215f66dde3c7c13d8025a9c160a75d7b2687090d15"},
+    {file = "zope.interface-6.4.post2.tar.gz", hash = "sha256:1c207e6f6dfd5749a26f5a5fd966602d6b824ec00d2df84a7e9a924e8933654e"},
 ]
 
 [package.dependencies]
@@ -9224,11 +10539,12 @@ test = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
 testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
 
 [extras]
-all = []
+cassio = ["cassio"]
+couchbase = ["couchbase"]
 deploy = ["celery", "flower", "redis"]
 local = ["ctransformers", "llama-cpp-python", "sentence-transformers"]
 
 [metadata]
 lock-version = "2.0"
-python-versions = ">=3.9,<3.12"
-content-hash = "9e44217b28f8d17704c4c8a7748d94f0bd8a61ca70de62c7be6ee0f65c826f2d"
+python-versions = ">=3.10,<3.13"
+content-hash = "f7377e3a997651cbcec2b9227b0bcde2507afc7d6236b708f4dc62857f150578"
diff --git a/pyproject.toml b/pyproject.toml
index 31b75de3dbb..d42e6bb9ab9 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,18 +1,18 @@
 [tool.poetry]
 name = "langflow"
-version = "0.6.19"
+version = "1.0.0"
 description = "A Python package with a built-in web application"
-authors = ["Logspace <contact@logspace.ai>"]
+authors = ["Langflow <contact@langflow.org>"]
 maintainers = [
-    "Carlos Coelho <carlos@logspace.ai>",
+    "Carlos Coelho <carlos@langflow.org>",
     "Cristhian Zanforlin <cristhian.lousa@gmail.com>",
-    "Gabriel Almeida <gabriel@logspace.ai>",
+    "Gabriel Almeida <gabriel@langflow.org>",
     "Igor Carvalho <igorr.ackerman@gmail.com>",
     "Lucas Eduoli <lucaseduoli@gmail.com>",
     "Otávio Anovazzi <otavio2204@gmail.com>",
-    "Rodrigo Nader <rodrigo@logspace.ai>",
+    "Rodrigo Nader <rodrigo@langflow.org>",
 ]
-repository = "https://github.com/logspace-ai/langflow"
+repository = "https://github.com/langflow-ai/langflow"
 license = "MIT"
 readme = "README.md"
 keywords = ["nlp", "langchain", "openai", "gpt", "gui"]
@@ -23,129 +23,132 @@ documentation = "https://docs.langflow.org"
 [tool.poetry.scripts]
 langflow = "langflow.__main__:main"
 
+
 [tool.poetry.dependencies]
-python = ">=3.9,<3.12"
-fastapi = "^0.109.0"
-uvicorn = "^0.27.0"
+python = ">=3.10,<3.13"
+langflow-base = { path = "./src/backend/base", develop = true }
 beautifulsoup4 = "^4.12.2"
 google-search-results = "^2.4.1"
-google-api-python-client = "^2.118.0"
-typer = "^0.9.0"
-gunicorn = "^21.2.0"
-langchain = "~0.1.0"
-openai = "^1.12.0"
-pandas = "2.2.0"
-chromadb = "^0.4.0"
+google-api-python-client = "^2.130.0"
 huggingface-hub = { version = "^0.20.0", extras = ["inference"] }
-rich = "^13.7.0"
 llama-cpp-python = { version = "~0.2.0", optional = true }
 networkx = "^3.1"
-unstructured = "^0.12.0"
-pypdf = "^4.0.0"
-lxml = "^4.9.2"
-pysrt = "^1.1.2"
-fake-useragent = "^1.4.0"
-docstring-parser = "^0.15"
+fake-useragent = "^1.5.0"
 psycopg2-binary = "^2.9.6"
 pyarrow = "^14.0.0"
-tiktoken = "~0.6.0"
 wikipedia = "^1.4.0"
-qdrant-client = "^1.7.0"
-websockets = "^10.3"
+qdrant-client = "^1.9.0"
 weaviate-client = "*"
 sentence-transformers = { version = "^2.3.1", optional = true }
 ctransformers = { version = "^0.2.10", optional = true }
-cohere = "^4.47.0"
-python-multipart = "^0.0.7"
-sqlmodel = "^0.0.14"
-faiss-cpu = "^1.7.4"
-orjson = "3.9.15"
-multiprocess = "^0.70.14"
-cachetools = "^5.3.1"
+cohere = "^5.5.3"
+faiss-cpu = "^1.8.0"
 types-cachetools = "^5.3.0.5"
-platformdirs = "^4.2.0"
 pinecone-client = "^3.0.3"
 pymongo = "^4.6.0"
 supabase = "^2.3.0"
 certifi = "^2023.11.17"
-google-cloud-aiplatform = "^1.42.0"
 psycopg = "^3.1.9"
 psycopg-binary = "^3.1.9"
 fastavro = "^1.8.0"
-langchain-experimental = "*"
 celery = { extras = ["redis"], version = "^5.3.6", optional = true }
-redis = { version = "^5.0.1", optional = true }
+redis = "^5.0.1"
 flower = { version = "^2.0.0", optional = true }
-alembic = "^1.13.0"
-passlib = "^1.7.4"
-bcrypt = "4.0.1"
-python-jose = "^3.3.0"
 metaphor-python = "^0.1.11"
-pydantic = "^2.6.0"
-pydantic-settings = "^2.1.0"
-zep-python = "*"
 pywin32 = { version = "^306", markers = "sys_platform == 'win32'" }
-loguru = "^0.7.1"
-langfuse = "^2.9.0"
-pillow = "^10.2.0"
+langfuse = "^2.33.0"
 metal-sdk = "^2.5.0"
 markupsafe = "^2.1.3"
-extract-msg = "^0.47.0"
 # jq is not available for windows
-jq = { version = "^1.6.0", markers = "sys_platform != 'win32'" }
 boto3 = "^1.34.0"
 numexpr = "^2.8.6"
-qianfan = "0.3.0"
+qianfan = "0.3.5"
 pgvector = "^0.2.3"
 pyautogen = "^0.2.0"
-langchain-google-genai = "^0.0.6"
+langchain-google-genai = "^1.0.1"
+langchain-cohere = "^0.1.5"
 elasticsearch = "^8.12.0"
 pytube = "^15.0.0"
-llama-index = "0.9.48"
-langchain-openai = "^0.0.6"
-urllib3 = "<2"
-langchain-anthropic = "^0.1.4"
+dspy-ai = "^2.4.0"
+assemblyai = "^0.26.0"
+litellm = "^1.38.0"
+chromadb = "^0.5.0"
+langchain-anthropic = "^0.1.6"
+langchain-astradb = "^0.3.3"
+langchain-openai = "^0.1.1"
+zep-python = { version = "^2.0.0rc5", allow-prereleases = true }
+langchain-google-vertexai = "^1.0.3"
+langchain-groq = "^0.1.3"
 langchain-pinecone = "^0.1.0"
+langchain-mistralai = "^0.1.6"
+couchbase = { extras = ["couchbase"], version = "^4.2.1", optional = true }
+youtube-transcript-api = "^0.6.2"
+markdown = "^3.6"
+langchain-chroma = "^0.1.1"
+upstash-vector = "^0.4.0"
+gitpython = "^3.1.43"
+cassio = { extras = ["cassio"], version = "^0.1.7", optional = true }
+unstructured = {extras = ["docx", "md", "pptx"], version = "^0.14.4"}
+langchain-aws = "^0.1.6"
+langchain-mongodb = "^0.1.6"
+kubernetes = "^30.1.0"
+
 
 [tool.poetry.group.dev.dependencies]
-pytest-asyncio = "^0.23.1"
 types-redis = "^4.6.0.5"
 ipykernel = "^6.29.0"
-mypy = "^1.8.0"
-ruff = "^0.2.1"
+mypy = "^1.10.0"
+ruff = "^0.4.5"
 httpx = "*"
-pytest = "^8.0.0"
-types-requests = "^2.31.0"
-requests = "^2.31.0"
-pytest-cov = "^4.1.0"
+pytest = "^8.2.0"
+types-requests = "^2.32.0"
+requests = "^2.32.0"
+pytest-cov = "^5.0.0"
 pandas-stubs = "^2.1.4.231227"
 types-pillow = "^10.2.0.20240213"
 types-pyyaml = "^6.0.12.8"
 types-python-jose = "^3.3.4.8"
 types-passlib = "^1.7.7.13"
 locust = "^2.23.1"
-pytest-mock = "^3.12.0"
-pytest-xdist = "^3.5.0"
+pytest-mock = "^3.14.0"
+pytest-xdist = "^3.6.0"
 types-pywin32 = "^306.0.0.4"
 types-google-cloud-ndb = "^2.2.0.0"
 pytest-sugar = "^1.0.0"
+respx = "^0.21.1"
 pytest-instafail = "^0.5.0"
-
+pytest-asyncio = "^0.23.0"
+pytest-profiling = "^1.7.0"
+pre-commit = "^3.7.0"
+vulture = "^2.11"
+dictdiffer = "^0.9.0"
 
 [tool.poetry.extras]
-deploy = ["langchain-serve", "celery", "redis", "flower"]
+deploy = ["celery", "redis", "flower"]
+couchbase = ["couchbase"]
+cassio = ["cassio"]
 local = ["llama-cpp-python", "sentence-transformers", "ctransformers"]
-all = ["deploy", "local"]
+
+
+[tool.poetry.group.spelling]
+optional = true
+
+[tool.poetry.group.spelling.dependencies]
+codespell = "^2.3.0"
+
+[tool.codespell]
+skip = '.git,*.pdf,*.svg,*.pdf,*.yaml,*.ipynb,poetry.lock,*.min.js,*.css,package-lock.json,*.trig.,**/node_modules/**,./stuff/*,*.csv'
+# Ignore latin etc
+ignore-regex = '.*(Stati Uniti|Tense=Pres).*'
 
 
 [tool.pytest.ini_options]
 minversion = "6.0"
-addopts = "-ra"
 testpaths = ["tests", "integration"]
 console_output_style = "progress"
 filterwarnings = ["ignore::DeprecationWarning"]
 log_cli = true
-markers = ["async_test"]
+markers = ["async_test", "api_key_required"]
 
 
 [tool.ruff]
diff --git a/render.yaml b/render.yaml
index 4c17923c67f..919a3e21fad 100644
--- a/render.yaml
+++ b/render.yaml
@@ -3,9 +3,9 @@ services:
   - type: web
     name: langflow
     runtime: docker
-    dockerfilePath: ./Dockerfile
-    repo: https://github.com/logspace-ai/langflow
-    branch: main
+    dockerfilePath: ./docker/render.pre-release.Dockerfile
+    repo: https://github.com/langflow-ai/langflow
+    branch: dev
     healthCheckPath: /health
     autoDeploy: false
     envVars:
diff --git a/scripts/aws/README.ja.md b/scripts/aws/README.ja.md
index b7ad49f21cb..86e8699bbb1 100644
--- a/scripts/aws/README.ja.md
+++ b/scripts/aws/README.ja.md
@@ -3,6 +3,7 @@
 **想定時間**: 30 分
 
 ## 説明
+
 Langflow on AWS では、 [AWS Cloud Development Kit](https://aws.amazon.com/cdk/?nc2=type_a) (CDK) を用いて Langflow を AWS 上にデプロイする方法を学べます。
 このチュートリアルは、AWS アカウントと AWS に関する基本的な知識を有していることを前提としています。
 
@@ -10,44 +11,47 @@ Langflow on AWS では、 [AWS Cloud Development Kit](https://aws.amazon.com/cdk
 ![langflow-archi](./img/langflow-archi.png)
 AWS CDK によって Langflow のアプリケーションをデプロイします。アプリケーションは [Amazon CloudFront](https://aws.amazon.com/cloudfront/?nc1=h_ls) を介して配信されます。CloudFront は 2 つのオリジンを有しています。1 つ目は静的な Web サイトを配信するための [Amazon Simple Storage Service](https://aws.amazon.com/s3/?nc1=h_ls) (S3)、2 つ目は バックエンドと通信するための [Application Load Balancer](https://aws.amazon.com/elasticloadbalancing/application-load-balancer/?nc1=h_ls) (ALB) です。ALB の背後には FastAPI が動作する [AWS Fargate](https://aws.amazon.com/fargate/?nc2=type_a) 、データベースの [Amazon Aurora](https://aws.amazon.com/rds/aurora/?nc2=type_a) が作成されます。
 Fargate は [Amazon Elastic Container Registry](https://aws.amazon.com/ecr/?nc1=h_ls) (ECR) に保存された Docker イメージを使用します。
-Auroraのシークレットは [AWS Secrets Manager](https://aws.amazon.com/secrets-manager/?nc2=type_a) によって管理されます。
+Aurora のシークレットは [AWS Secrets Manager](https://aws.amazon.com/secrets-manager/?nc2=type_a) によって管理されます。
 
 # 環境構築とデプロイ方法
+
 1. [AWS CloudShell](https://us-east-1.console.aws.amazon.com/cloudshell/home?region=us-east-1)を開きます。
 
 1. 以下のコマンドを実行します。
-    ```shell
-    git clone https://github.com/aws-samples/cloud9-setup-for-prototyping
-    cd cloud9-setup-for-prototyping
-    ./bin/bootstrap
-    ```
+
+   ```shell
+   git clone https://github.com/aws-samples/cloud9-setup-for-prototyping
+   cd cloud9-setup-for-prototyping
+   ./bin/bootstrap
+   ```
 
 1. `Done!` と表示されたら [AWS Cloud9](https://us-east-1.console.aws.amazon.com/cloud9control/home?region=us-east-1#/) から `cloud9-for-prototyping` を開きます。
-    ![make-cloud9](./img/langflow-cloud9.png)
+   ![make-cloud9](./img/langflow-cloud9.png)
 
 1. 以下のコマンドを実行します。
-    ```shell
-    git clone https://github.com/logspace-ai/langflow.git
-    cd langflow/scripts/aws
-    cp .env.example .env # 環境設定を変える場合はこのファイル(.env)を編集してください。
-    npm ci
-    cdk bootstrap
-    cdk deploy
-    ```
+   ```shell
+   git clone https://github.com/langflow-ai/langflow.git
+   cd langflow/scripts/aws
+   cp .env.example .env # 環境設定を変える場合はこのファイル(.env)を編集してください。
+   npm ci
+   cdk bootstrap
+   cdk deploy
+   ```
 1. 表示される URL にアクセスします。
-    ```shell
-    Outputs:
-    LangflowAppStack.frontendURLXXXXXX = https://XXXXXXXXXXX.cloudfront.net
-    ```
+   ```shell
+   Outputs:
+   LangflowAppStack.frontendURLXXXXXX = https://XXXXXXXXXXX.cloudfront.net
+   ```
 1. サインイン画面でユーザー名とパスワードを入力します。`.env`ファイルでユーザー名とパスワードを設定していない場合、ユーザー名は`admin`、パスワードは`123456`で設定されます。
-    ![make-cloud9](./img/langflow-signin.png)
+   ![make-cloud9](./img/langflow-signin.png)
 
 # 環境の削除
+
 1. `Cloud9` で以下のコマンドを実行します。
-    ```shell
-    bash delete-resources.sh
-    ```
 
+   ```shell
+   bash delete-resources.sh
+   ```
 
 1. [AWS CloudFormation](https://us-east-1.console.aws.amazon.com/cloudformation/home?region=us-east-1#/getting-started)を開き、`aws-cloud9-cloud9-for-prototyping-XXXX` を選択して削除します。
-    ![delete-cfn](./img/langflow-cfn.png)
\ No newline at end of file
+   ![delete-cfn](./img/langflow-cfn.png)
diff --git a/scripts/aws/README.md b/scripts/aws/README.md
index 031718f75e8..da561747fcf 100644
--- a/scripts/aws/README.md
+++ b/scripts/aws/README.md
@@ -10,7 +10,7 @@ This tutorial assumes you have an AWS account and basic knowledge of AWS.
 The architecture of the application to be created:
 ![langflow-archi](./img/langflow-archi.png)
 Langflow is deployed using AWS CDK. The application is distributed via [Amazon CloudFront](https://aws.amazon.com/cloudfront/?nc1=h_ls), which has two origins: the first is [Amazon Simple Storage Service](https://aws.amazon.com/s3/?nc1=h_ls) (S3) for serving a static website, and the second is an [Application Load Balancer](https://aws.amazon.com/elasticloadbalancing/application-load-balancer/?nc1=h_ls) (ALB) for communicating with the backend. [AWS Fargate](https://aws.amazon.com/fargate/?nc2=type_a), where FastAPI runs and [Amazon Aurora](https://aws.amazon.com/rds/aurora/?nc2=type_a), the database, are created behind the ALB.
-Fargate uses a Docker image stored in  [Amazon Elastic Container Registry](https://aws.amazon.com/ecr/?nc1=h_ls) (ECR).
+Fargate uses a Docker image stored in [Amazon Elastic Container Registry](https://aws.amazon.com/ecr/?nc1=h_ls) (ECR).
 Aurora's secret is managed by [AWS Secrets Manager](https://aws.amazon.com/secrets-manager/?nc2=type_a).
 
 # How to set up your environment and deploy langflow
@@ -26,14 +26,14 @@ Aurora's secret is managed by [AWS Secrets Manager](https://aws.amazon.com/secre
 1. When you see `Done!` in Cloudshell, open `c9-for-langflow` from [AWS Cloud9](https://us-east-1.console.aws.amazon.com/cloud9control/home?region=us-east-1#/).
    ![make-cloud9](./img/langflow-cloud9-en.png)
 1. Run the following command in the Cloud9 terminal.
-    ```shell
-    git clone https://github.com/logspace-ai/langflow.git
-    cd langflow/scripts/aws
-    cp .env.example .env # Edit this file if you need environment settings
-    npm ci
-    cdk bootstrap
-    cdk deploy
-    ```
+   ```shell
+   git clone https://github.com/langflow-ai/langflow.git
+   cd langflow/scripts/aws
+   cp .env.example .env # Edit this file if you need environment settings
+   npm ci
+   cdk bootstrap
+   cdk deploy
+   ```
 1. Access the URL displayed.
    ```shell
    Outputs:
@@ -50,4 +50,4 @@ Aurora's secret is managed by [AWS Secrets Manager](https://aws.amazon.com/secre
    ```
 1. Open [AWS CloudFormation](https://us-east-1.console.aws.amazon.com/cloudformation/home?region=us-east-1#/getting-started), select `aws-cloud9-c9-for-langflow-XXXX` and delete it.
    ![delete-cfn](./img/langflow-cfn.png)
-s
\ No newline at end of file
+   s
diff --git a/scripts/aws/lib/construct/db.ts b/scripts/aws/lib/construct/db.ts
index 34cb8a482b2..255ec663cf3 100644
--- a/scripts/aws/lib/construct/db.ts
+++ b/scripts/aws/lib/construct/db.ts
@@ -1,65 +1,85 @@
-import { Construct } from 'constructs';
-import * as ec2 from 'aws-cdk-lib/aws-ec2'
+import { Construct } from "constructs";
+import * as ec2 from "aws-cdk-lib/aws-ec2";
 import * as rds from "aws-cdk-lib/aws-rds";
-import * as cdk from 'aws-cdk-lib';
+import * as cdk from "aws-cdk-lib";
 
 interface RdsProps {
-  vpc: ec2.Vpc
-  dbSG:ec2.SecurityGroup
+  vpc: ec2.Vpc;
+  dbSG: ec2.SecurityGroup;
 }
 
-export class Rds extends Construct{
-  readonly rdsCluster: rds.DatabaseCluster
+export class Rds extends Construct {
+  readonly rdsCluster: rds.DatabaseCluster;
 
-  constructor(scope: Construct, id:string, props: RdsProps){
+  constructor(scope: Construct, id: string, props: RdsProps) {
     super(scope, id);
 
-    const {vpc, dbSG} = props
-    const instanceType = ec2.InstanceType.of(ec2.InstanceClass.BURSTABLE4_GRAVITON, ec2.InstanceSize.MEDIUM)
+    const { vpc, dbSG } = props;
+    const instanceType = ec2.InstanceType.of(
+      ec2.InstanceClass.BURSTABLE4_GRAVITON,
+      ec2.InstanceSize.MEDIUM,
+    );
 
     // RDSのパスワードを自動生成してSecrets Managerに格納
-    const rdsCredentials = rds.Credentials.fromGeneratedSecret('db_user',{
-      secretName: 'langflow-DbSecret',
-    })
-    
+    const rdsCredentials = rds.Credentials.fromGeneratedSecret("db_user", {
+      secretName: "langflow-DbSecret",
+    });
+
     // DB クラスターのパラメータグループ作成
-    const clusterParameterGroup = new rds.ParameterGroup(scope, 'ClusterParameterGroup',{
-      engine: rds.DatabaseClusterEngine.auroraMysql({
-        version: rds.AuroraMysqlEngineVersion.VER_3_02_0
-      }),
-      description: 'for-langflow',
-    })
-    clusterParameterGroup.bindToCluster({})
+    const clusterParameterGroup = new rds.ParameterGroup(
+      scope,
+      "ClusterParameterGroup",
+      {
+        engine: rds.DatabaseClusterEngine.auroraMysql({
+          version: rds.AuroraMysqlEngineVersion.of(
+            "8.0.mysql_aurora.3.05.2",
+            "8.0",
+          ),
+        }),
+        description: "for-langflow",
+      },
+    );
+    clusterParameterGroup.bindToCluster({});
 
     // DB インスタンスのパラメタグループ作成
-    const instanceParameterGroup = new rds.ParameterGroup(scope, 'InstanceParameterGroup',{
-      engine: rds.DatabaseClusterEngine.auroraMysql({
-        version: rds.AuroraMysqlEngineVersion.VER_3_02_0,
-      }),
-      description: 'for-langflow',
-    })
-    instanceParameterGroup.bindToInstance({})
+    const instanceParameterGroup = new rds.ParameterGroup(
+      scope,
+      "InstanceParameterGroup",
+      {
+        engine: rds.DatabaseClusterEngine.auroraMysql({
+          version: rds.AuroraMysqlEngineVersion.of(
+            "8.0.mysql_aurora.3.05.2",
+            "8.0",
+          ),
+        }),
+        description: "for-langflow",
+      },
+    );
+    instanceParameterGroup.bindToInstance({});
 
-    this.rdsCluster = new rds.DatabaseCluster(scope, 'LangflowDbCluster', {
+    this.rdsCluster = new rds.DatabaseCluster(scope, "LangflowDbCluster", {
       engine: rds.DatabaseClusterEngine.auroraMysql({
-        version: rds.AuroraMysqlEngineVersion.VER_3_02_0,
+        version: rds.AuroraMysqlEngineVersion.of(
+          "8.0.mysql_aurora.3.05.2",
+          "8.0",
+        ),
       }),
       storageEncrypted: true,
       credentials: rdsCredentials,
-      instanceIdentifierBase: 'langflow-instance',
-      vpc:vpc,
-      vpcSubnets:vpc.selectSubnets({
-        subnetGroupName: 'langflow-Isolated',
+      instanceIdentifierBase: "langflow-instance",
+      vpc: vpc,
+      vpcSubnets: vpc.selectSubnets({
+        subnetGroupName: "langflow-Isolated",
       }),
-      securityGroups:[dbSG],
+      securityGroups: [dbSG],
       writer: rds.ClusterInstance.provisioned("WriterInstance", {
         instanceType: instanceType,
         enablePerformanceInsights: true,
-        parameterGroup:instanceParameterGroup,
+        parameterGroup: instanceParameterGroup,
       }),
-      // 2台目以降はreaders:で設定 
+      // 2台目以降はreaders:で設定
       parameterGroup: clusterParameterGroup,
-      defaultDatabaseName: 'langflow',
-    })
+      defaultDatabaseName: "langflow",
+    });
   }
 }
diff --git a/scripts/aws/package-lock.json b/scripts/aws/package-lock.json
index 4deefa75280..c1be6a071cb 100644
--- a/scripts/aws/package-lock.json
+++ b/scripts/aws/package-lock.json
@@ -8,35 +8,35 @@
       "name": "cdk",
       "version": "0.1.0",
       "dependencies": {
-        "@aws-solutions-constructs/aws-cloudfront-s3": "^2.49.0",
-        "aws-cdk-lib": "^2.124.0",
-        "cdk-ecr-deployment": "^2.5.30",
-        "constructs": "^10.0.0",
-        "deploy-time-build": "^0.3.12",
-        "dotenv": "^16.3.1",
+        "@aws-solutions-constructs/aws-cloudfront-s3": "^2.57.0",
+        "aws-cdk-lib": "^2.141.0",
+        "cdk-ecr-deployment": "^3.0.55",
+        "constructs": "^10.3.0",
+        "deploy-time-build": "^0.3.21",
+        "dotenv": "^16.4.5",
         "source-map-support": "^0.5.21"
       },
       "bin": {
         "cdk": "bin/cdk.js"
       },
       "devDependencies": {
-        "@types/jest": "^29.5.1",
-        "@types/node": "20.1.7",
-        "aws-cdk": "^2.86.0",
-        "jest": "^29.5.0",
-        "ts-jest": "^29.1.0",
-        "ts-node": "^10.9.1",
-        "typescript": "~5.1.3"
+        "@types/jest": "^29.5.12",
+        "@types/node": "^20.12.12",
+        "aws-cdk": "^2.141.0",
+        "jest": "^29.7.0",
+        "ts-jest": "^29.1.2",
+        "ts-node": "^10.9.2",
+        "typescript": "^5.4.5"
       }
     },
     "node_modules/@ampproject/remapping": {
-      "version": "2.2.1",
-      "resolved": "https://registry.npmjs.org/@ampproject/remapping/-/remapping-2.2.1.tgz",
-      "integrity": "sha512-lFMjJTrFL3j7L9yBxwYfCq2k6qqwHyzuUl/XBnif78PWTJYyL/dfowQHWE3sp6U6ZzqWiiIZnpTMO96zhkjwtg==",
+      "version": "2.3.0",
+      "resolved": "https://registry.npmjs.org/@ampproject/remapping/-/remapping-2.3.0.tgz",
+      "integrity": "sha512-30iZtAPgz+LTIYoeivqYo853f02jBYSd5uGnGpkFV0M3xOt9aN73erkgYAmZU43x4VfqcnLxW9Kpg3R5LC4YYw==",
       "dev": true,
       "dependencies": {
-        "@jridgewell/gen-mapping": "^0.3.0",
-        "@jridgewell/trace-mapping": "^0.3.9"
+        "@jridgewell/gen-mapping": "^0.3.5",
+        "@jridgewell/trace-mapping": "^0.3.24"
       },
       "engines": {
         "node": ">=6.0.0"
@@ -53,72 +53,87 @@
       "integrity": "sha512-3M2tELJOxQv0apCIiuKQ4pAbncz9GuLwnKFqxifWfe77wuMxyTRPmxssYHs42ePqzap1LT6GDcPygGs+hHstLg=="
     },
     "node_modules/@aws-cdk/asset-node-proxy-agent-v6": {
-      "version": "2.0.1",
-      "resolved": "https://registry.npmjs.org/@aws-cdk/asset-node-proxy-agent-v6/-/asset-node-proxy-agent-v6-2.0.1.tgz",
-      "integrity": "sha512-DDt4SLdLOwWCjGtltH4VCST7hpOI5DzieuhGZsBpZ+AgJdSI2GCjklCXm0GCTwJG/SolkL5dtQXyUKgg9luBDg=="
+      "version": "2.0.3",
+      "resolved": "https://registry.npmjs.org/@aws-cdk/asset-node-proxy-agent-v6/-/asset-node-proxy-agent-v6-2.0.3.tgz",
+      "integrity": "sha512-twhuEG+JPOYCYPx/xy5uH2+VUsIEhPTzDY0F1KuB+ocjWWB/KEDiOVL19nHvbPCB6fhWnkykXEMJ4HHcKvjtvg=="
+    },
+    "node_modules/@aws-cdk/integ-tests-alpha": {
+      "version": "2.138.0-alpha.0",
+      "resolved": "https://registry.npmjs.org/@aws-cdk/integ-tests-alpha/-/integ-tests-alpha-2.138.0-alpha.0.tgz",
+      "integrity": "sha512-TqLcJbC9VX05X2Py2GpFZ8quO7Mj3i1NuerekzqM8RV8AiU3aPMcZFGRK+MdXHNIiGzYx9ZGfMPERVT4Qqwn6A==",
+      "engines": {
+        "node": ">= 14.15.0"
+      },
+      "peerDependencies": {
+        "aws-cdk-lib": "^2.138.0",
+        "constructs": "^10.0.0"
+      }
     },
     "node_modules/@aws-solutions-constructs/aws-cloudfront-s3": {
-      "version": "2.49.0",
-      "resolved": "https://registry.npmjs.org/@aws-solutions-constructs/aws-cloudfront-s3/-/aws-cloudfront-s3-2.49.0.tgz",
-      "integrity": "sha512-0VMtl+Ma+aLZo3Nuvq9bTl/Oz9vn5OaPEOELr9pe8kYuoHwGQUGuxXP/xJlQUWbXwR3JCQVcN5k4kdnD5eLXFw==",
+      "version": "2.57.0",
+      "resolved": "https://registry.npmjs.org/@aws-solutions-constructs/aws-cloudfront-s3/-/aws-cloudfront-s3-2.57.0.tgz",
+      "integrity": "sha512-ReL7pk7UE2Xgg0mw6v8TmMC6Jhkmv1R4s3UZqM9w4RMXzp3LceS78YZLJHBT6m8AAT6wxY4kAFqJNoUZJ7fFKg==",
       "dependencies": {
-        "@aws-solutions-constructs/core": "2.49.0",
-        "@aws-solutions-constructs/resources": "2.49.0"
+        "@aws-cdk/integ-tests-alpha": "2.138.0-alpha.0",
+        "@aws-solutions-constructs/core": "2.57.0",
+        "@aws-solutions-constructs/resources": "2.57.0",
+        "constructs": "^10.0.0"
       },
       "peerDependencies": {
-        "@aws-solutions-constructs/core": "2.49.0",
-        "@aws-solutions-constructs/resources": "2.49.0",
-        "aws-cdk-lib": "^2.118.0",
+        "@aws-solutions-constructs/core": "2.57.0",
+        "@aws-solutions-constructs/resources": "2.57.0",
+        "aws-cdk-lib": "^2.138.0",
         "constructs": "^10.0.0"
       }
     },
     "node_modules/@aws-solutions-constructs/core": {
-      "version": "2.49.0",
-      "resolved": "https://registry.npmjs.org/@aws-solutions-constructs/core/-/core-2.49.0.tgz",
-      "integrity": "sha512-SZ3CBYF6jVQj0DSNwhksqwz5ohW4w+DlgKiZhrO9gLiW4YcRrxFzwQ7I9FHFUDPZOxsN4NmsuQNj/3s02gycmQ==",
+      "version": "2.57.0",
+      "resolved": "https://registry.npmjs.org/@aws-solutions-constructs/core/-/core-2.57.0.tgz",
+      "integrity": "sha512-AGDqfup4vfo1ueum44M70lcnUPVFM1jZhK9XVksxEQdQJA1T6O1OdcGGJO3aw3vQVC+9YS9upTYCfHUyC5j3qw==",
       "bundleDependencies": [
         "deepmerge",
         "npmlog",
         "deep-diff"
       ],
       "dependencies": {
+        "@aws-cdk/integ-tests-alpha": "2.138.0-alpha.0",
+        "constructs": "^10.0.0",
         "deep-diff": "^1.0.2",
         "deepmerge": "^4.0.0",
-        "npmlog": "^4.1.2"
+        "npmlog": "^7.0.0"
       },
       "peerDependencies": {
-        "aws-cdk-lib": "^2.118.0",
+        "aws-cdk-lib": "^2.138.0",
         "constructs": "^10.0.0"
       }
     },
     "node_modules/@aws-solutions-constructs/core/node_modules/ansi-regex": {
-      "version": "2.1.1",
+      "version": "5.0.1",
       "inBundle": true,
       "license": "MIT",
       "engines": {
-        "node": ">=0.10.0"
+        "node": ">=8"
       }
     },
     "node_modules/@aws-solutions-constructs/core/node_modules/aproba": {
-      "version": "1.2.0",
+      "version": "2.0.0",
       "inBundle": true,
       "license": "ISC"
     },
     "node_modules/@aws-solutions-constructs/core/node_modules/are-we-there-yet": {
-      "version": "1.1.7",
+      "version": "4.0.2",
       "inBundle": true,
       "license": "ISC",
-      "dependencies": {
-        "delegates": "^1.0.0",
-        "readable-stream": "^2.0.6"
+      "engines": {
+        "node": "^14.17.0 || ^16.13.0 || >=18.0.0"
       }
     },
-    "node_modules/@aws-solutions-constructs/core/node_modules/code-point-at": {
-      "version": "1.1.0",
+    "node_modules/@aws-solutions-constructs/core/node_modules/color-support": {
+      "version": "1.1.3",
       "inBundle": true,
-      "license": "MIT",
-      "engines": {
-        "node": ">=0.10.0"
+      "license": "ISC",
+      "bin": {
+        "color-support": "bin.js"
       }
     },
     "node_modules/@aws-solutions-constructs/core/node_modules/console-control-strings": {
@@ -126,11 +141,6 @@
       "inBundle": true,
       "license": "ISC"
     },
-    "node_modules/@aws-solutions-constructs/core/node_modules/core-util-is": {
-      "version": "1.0.3",
-      "inBundle": true,
-      "license": "MIT"
-    },
     "node_modules/@aws-solutions-constructs/core/node_modules/deep-diff": {
       "version": "1.0.2",
       "inBundle": true,
@@ -144,29 +154,27 @@
         "node": ">=0.10.0"
       }
     },
-    "node_modules/@aws-solutions-constructs/core/node_modules/delegates": {
-      "version": "1.0.0",
-      "inBundle": true,
-      "license": "MIT"
-    },
     "node_modules/@aws-solutions-constructs/core/node_modules/emoji-regex": {
       "version": "8.0.0",
       "inBundle": true,
       "license": "MIT"
     },
     "node_modules/@aws-solutions-constructs/core/node_modules/gauge": {
-      "version": "2.7.4",
+      "version": "5.0.2",
       "inBundle": true,
       "license": "ISC",
       "dependencies": {
-        "aproba": "^1.0.3",
-        "console-control-strings": "^1.0.0",
-        "has-unicode": "^2.0.0",
-        "object-assign": "^4.1.0",
-        "signal-exit": "^3.0.0",
-        "string-width": "^1.0.1",
-        "strip-ansi": "^3.0.1",
-        "wide-align": "^1.1.0"
+        "aproba": "^1.0.3 || ^2.0.0",
+        "color-support": "^1.1.3",
+        "console-control-strings": "^1.1.0",
+        "has-unicode": "^2.0.1",
+        "signal-exit": "^4.0.1",
+        "string-width": "^4.2.3",
+        "strip-ansi": "^6.0.1",
+        "wide-align": "^1.1.5"
+      },
+      "engines": {
+        "node": "^14.17.0 || ^16.13.0 || >=18.0.0"
       }
     },
     "node_modules/@aws-solutions-constructs/core/node_modules/has-unicode": {
@@ -174,150 +182,45 @@
       "inBundle": true,
       "license": "ISC"
     },
-    "node_modules/@aws-solutions-constructs/core/node_modules/inherits": {
-      "version": "2.0.4",
-      "inBundle": true,
-      "license": "ISC"
-    },
     "node_modules/@aws-solutions-constructs/core/node_modules/is-fullwidth-code-point": {
-      "version": "1.0.0",
+      "version": "3.0.0",
       "inBundle": true,
       "license": "MIT",
-      "dependencies": {
-        "number-is-nan": "^1.0.0"
-      },
       "engines": {
-        "node": ">=0.10.0"
+        "node": ">=8"
       }
     },
-    "node_modules/@aws-solutions-constructs/core/node_modules/isarray": {
-      "version": "1.0.0",
-      "inBundle": true,
-      "license": "MIT"
-    },
     "node_modules/@aws-solutions-constructs/core/node_modules/npmlog": {
-      "version": "4.1.2",
+      "version": "7.0.1",
       "inBundle": true,
       "license": "ISC",
       "dependencies": {
-        "are-we-there-yet": "~1.1.2",
-        "console-control-strings": "~1.1.0",
-        "gauge": "~2.7.3",
-        "set-blocking": "~2.0.0"
-      }
-    },
-    "node_modules/@aws-solutions-constructs/core/node_modules/number-is-nan": {
-      "version": "1.0.1",
-      "inBundle": true,
-      "license": "MIT",
-      "engines": {
-        "node": ">=0.10.0"
-      }
-    },
-    "node_modules/@aws-solutions-constructs/core/node_modules/object-assign": {
-      "version": "4.1.1",
-      "inBundle": true,
-      "license": "MIT",
+        "are-we-there-yet": "^4.0.0",
+        "console-control-strings": "^1.1.0",
+        "gauge": "^5.0.0",
+        "set-blocking": "^2.0.0"
+      },
       "engines": {
-        "node": ">=0.10.0"
+        "node": "^14.17.0 || ^16.13.0 || >=18.0.0"
       }
     },
-    "node_modules/@aws-solutions-constructs/core/node_modules/process-nextick-args": {
-      "version": "2.0.1",
-      "inBundle": true,
-      "license": "MIT"
-    },
-    "node_modules/@aws-solutions-constructs/core/node_modules/readable-stream": {
-      "version": "2.3.8",
-      "inBundle": true,
-      "license": "MIT",
-      "dependencies": {
-        "core-util-is": "~1.0.0",
-        "inherits": "~2.0.3",
-        "isarray": "~1.0.0",
-        "process-nextick-args": "~2.0.0",
-        "safe-buffer": "~5.1.1",
-        "string_decoder": "~1.1.1",
-        "util-deprecate": "~1.0.1"
-      }
-    },
-    "node_modules/@aws-solutions-constructs/core/node_modules/safe-buffer": {
-      "version": "5.1.2",
-      "inBundle": true,
-      "license": "MIT"
-    },
     "node_modules/@aws-solutions-constructs/core/node_modules/set-blocking": {
       "version": "2.0.0",
       "inBundle": true,
       "license": "ISC"
     },
     "node_modules/@aws-solutions-constructs/core/node_modules/signal-exit": {
-      "version": "3.0.7",
-      "inBundle": true,
-      "license": "ISC"
-    },
-    "node_modules/@aws-solutions-constructs/core/node_modules/string_decoder": {
-      "version": "1.1.1",
-      "inBundle": true,
-      "license": "MIT",
-      "dependencies": {
-        "safe-buffer": "~5.1.0"
-      }
-    },
-    "node_modules/@aws-solutions-constructs/core/node_modules/string-width": {
-      "version": "1.0.2",
-      "inBundle": true,
-      "license": "MIT",
-      "dependencies": {
-        "code-point-at": "^1.0.0",
-        "is-fullwidth-code-point": "^1.0.0",
-        "strip-ansi": "^3.0.0"
-      },
-      "engines": {
-        "node": ">=0.10.0"
-      }
-    },
-    "node_modules/@aws-solutions-constructs/core/node_modules/strip-ansi": {
-      "version": "3.0.1",
-      "inBundle": true,
-      "license": "MIT",
-      "dependencies": {
-        "ansi-regex": "^2.0.0"
-      },
-      "engines": {
-        "node": ">=0.10.0"
-      }
-    },
-    "node_modules/@aws-solutions-constructs/core/node_modules/util-deprecate": {
-      "version": "1.0.2",
-      "inBundle": true,
-      "license": "MIT"
-    },
-    "node_modules/@aws-solutions-constructs/core/node_modules/wide-align": {
-      "version": "1.1.5",
+      "version": "4.1.0",
       "inBundle": true,
       "license": "ISC",
-      "dependencies": {
-        "string-width": "^1.0.2 || 2 || 3 || 4"
-      }
-    },
-    "node_modules/@aws-solutions-constructs/core/node_modules/wide-align/node_modules/ansi-regex": {
-      "version": "5.0.1",
-      "inBundle": true,
-      "license": "MIT",
       "engines": {
-        "node": ">=8"
-      }
-    },
-    "node_modules/@aws-solutions-constructs/core/node_modules/wide-align/node_modules/is-fullwidth-code-point": {
-      "version": "3.0.0",
-      "inBundle": true,
-      "license": "MIT",
-      "engines": {
-        "node": ">=8"
+        "node": ">=14"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/isaacs"
       }
     },
-    "node_modules/@aws-solutions-constructs/core/node_modules/wide-align/node_modules/string-width": {
+    "node_modules/@aws-solutions-constructs/core/node_modules/string-width": {
       "version": "4.2.3",
       "inBundle": true,
       "license": "MIT",
@@ -330,7 +233,7 @@
         "node": ">=8"
       }
     },
-    "node_modules/@aws-solutions-constructs/core/node_modules/wide-align/node_modules/strip-ansi": {
+    "node_modules/@aws-solutions-constructs/core/node_modules/strip-ansi": {
       "version": "6.0.1",
       "inBundle": true,
       "license": "MIT",
@@ -341,136 +244,75 @@
         "node": ">=8"
       }
     },
+    "node_modules/@aws-solutions-constructs/core/node_modules/wide-align": {
+      "version": "1.1.5",
+      "inBundle": true,
+      "license": "ISC",
+      "dependencies": {
+        "string-width": "^1.0.2 || 2 || 3 || 4"
+      }
+    },
     "node_modules/@aws-solutions-constructs/resources": {
-      "version": "2.49.0",
-      "resolved": "https://registry.npmjs.org/@aws-solutions-constructs/resources/-/resources-2.49.0.tgz",
-      "integrity": "sha512-HHx9tTA36plfVxzzQ+qjHCJOo6ikHR+xEqtb1dDBQvgtWo3SnEbWAKBDqNPA6DGn7PoFhxE0zA0ntj7RfFjeLQ==",
+      "version": "2.57.0",
+      "resolved": "https://registry.npmjs.org/@aws-solutions-constructs/resources/-/resources-2.57.0.tgz",
+      "integrity": "sha512-2LYLlTF8GPvKY1KIFcF7MJNO7vnND7g93+FZY3sg95cSB6U9wKqhVdEn1LRGZLGljmsJJBHxUSedy8TOVIjOsQ==",
       "bundleDependencies": [
         "@aws-sdk/client-kms",
         "@aws-sdk/client-s3",
         "aws-sdk-client-mock"
       ],
       "dependencies": {
+        "@aws-cdk/integ-tests-alpha": "2.138.0-alpha.0",
         "@aws-sdk/client-kms": "^3.478.0",
         "@aws-sdk/client-s3": "^3.478.0",
-        "@aws-solutions-constructs/core": "2.49.0",
-        "aws-sdk-client-mock": "^3.0.0"
+        "@aws-solutions-constructs/core": "2.57.0",
+        "aws-sdk-client-mock": "^3.0.0",
+        "constructs": "^10.0.0"
       },
       "peerDependencies": {
-        "@aws-solutions-constructs/core": "2.49.0",
-        "aws-cdk-lib": "^2.118.0",
+        "@aws-solutions-constructs/core": "2.57.0",
+        "aws-cdk-lib": "^2.138.0",
         "constructs": "^10.0.0"
       }
     },
     "node_modules/@babel/code-frame": {
-      "version": "7.22.13",
-      "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.22.13.tgz",
-      "integrity": "sha512-XktuhWlJ5g+3TJXc5upd9Ks1HutSArik6jf2eAjYFyIOf4ej3RN+184cZbzDvbPnuTJIUhPKKJE3cIsYTiAT3w==",
+      "version": "7.24.2",
+      "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.24.2.tgz",
+      "integrity": "sha512-y5+tLQyV8pg3fsiln67BVLD1P13Eg4lh5RW9mF0zUuvLrv9uIQ4MCL+CRT+FTsBlBjcIan6PGsLcBN0m3ClUyQ==",
       "dev": true,
       "dependencies": {
-        "@babel/highlight": "^7.22.13",
-        "chalk": "^2.4.2"
+        "@babel/highlight": "^7.24.2",
+        "picocolors": "^1.0.0"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
-    "node_modules/@babel/code-frame/node_modules/ansi-styles": {
-      "version": "3.2.1",
-      "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-3.2.1.tgz",
-      "integrity": "sha512-VT0ZI6kZRdTh8YyJw3SMbYm/u+NqfsAxEpWO0Pf9sq8/e94WxxOpPKx9FR1FlyCtOVDNOQ+8ntlqFxiRc+r5qA==",
-      "dev": true,
-      "dependencies": {
-        "color-convert": "^1.9.0"
-      },
-      "engines": {
-        "node": ">=4"
-      }
-    },
-    "node_modules/@babel/code-frame/node_modules/chalk": {
-      "version": "2.4.2",
-      "resolved": "https://registry.npmjs.org/chalk/-/chalk-2.4.2.tgz",
-      "integrity": "sha512-Mti+f9lpJNcwF4tWV8/OrTTtF1gZi+f8FqlyAdouralcFWFQWF2+NgCHShjkCb+IFBLq9buZwE1xckQU4peSuQ==",
-      "dev": true,
-      "dependencies": {
-        "ansi-styles": "^3.2.1",
-        "escape-string-regexp": "^1.0.5",
-        "supports-color": "^5.3.0"
-      },
-      "engines": {
-        "node": ">=4"
-      }
-    },
-    "node_modules/@babel/code-frame/node_modules/color-convert": {
-      "version": "1.9.3",
-      "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-1.9.3.tgz",
-      "integrity": "sha512-QfAUtd+vFdAtFQcC8CCyYt1fYWxSqAiK2cSD6zDB8N3cpsEBAvRxp9zOGg6G/SHHJYAT88/az/IuDGALsNVbGg==",
-      "dev": true,
-      "dependencies": {
-        "color-name": "1.1.3"
-      }
-    },
-    "node_modules/@babel/code-frame/node_modules/color-name": {
-      "version": "1.1.3",
-      "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.3.tgz",
-      "integrity": "sha512-72fSenhMw2HZMTVHeCA9KCmpEIbzWiQsjN+BHcBbS9vr1mtt+vJjPdksIBNUmKAW8TFUDPJK5SUU3QhE9NEXDw==",
-      "dev": true
-    },
-    "node_modules/@babel/code-frame/node_modules/escape-string-regexp": {
-      "version": "1.0.5",
-      "resolved": "https://registry.npmjs.org/escape-string-regexp/-/escape-string-regexp-1.0.5.tgz",
-      "integrity": "sha512-vbRorB5FUQWvla16U8R/qgaFIya2qGzwDrNmCZuYKrbdSUMG6I1ZCGQRefkRVhuOkIGVne7BQ35DSfo1qvJqFg==",
-      "dev": true,
-      "engines": {
-        "node": ">=0.8.0"
-      }
-    },
-    "node_modules/@babel/code-frame/node_modules/has-flag": {
-      "version": "3.0.0",
-      "resolved": "https://registry.npmjs.org/has-flag/-/has-flag-3.0.0.tgz",
-      "integrity": "sha512-sKJf1+ceQBr4SMkvQnBDNDtf4TXpVhVGateu0t918bl30FnbE2m4vNLX+VWe/dpjlb+HugGYzW7uQXH98HPEYw==",
-      "dev": true,
-      "engines": {
-        "node": ">=4"
-      }
-    },
-    "node_modules/@babel/code-frame/node_modules/supports-color": {
-      "version": "5.5.0",
-      "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-5.5.0.tgz",
-      "integrity": "sha512-QjVjwdXIt408MIiAqCX4oUKsgU2EqAGzs2Ppkm4aQYbjm+ZEWEcW4SfFNTr4uMNZma0ey4f5lgLrkB0aX0QMow==",
-      "dev": true,
-      "dependencies": {
-        "has-flag": "^3.0.0"
-      },
-      "engines": {
-        "node": ">=4"
-      }
-    },
     "node_modules/@babel/compat-data": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/compat-data/-/compat-data-7.23.3.tgz",
-      "integrity": "sha512-BmR4bWbDIoFJmJ9z2cZ8Gmm2MXgEDgjdWgpKmKWUt54UGFJdlj31ECtbaDvCG/qVdG3AQ1SfpZEs01lUFbzLOQ==",
+      "version": "7.24.4",
+      "resolved": "https://registry.npmjs.org/@babel/compat-data/-/compat-data-7.24.4.tgz",
+      "integrity": "sha512-vg8Gih2MLK+kOkHJp4gBEIkyaIi00jgWot2D9QOmmfLC8jINSOzmCLta6Bvz/JSBCqnegV0L80jhxkol5GWNfQ==",
       "dev": true,
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/core": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/core/-/core-7.23.3.tgz",
-      "integrity": "sha512-Jg+msLuNuCJDyBvFv5+OKOUjWMZgd85bKjbICd3zWrKAo+bJ49HJufi7CQE0q0uR8NGyO6xkCACScNqyjHSZew==",
+      "version": "7.24.5",
+      "resolved": "https://registry.npmjs.org/@babel/core/-/core-7.24.5.tgz",
+      "integrity": "sha512-tVQRucExLQ02Boi4vdPp49svNGcfL2GhdTCT9aldhXgCJVAI21EtRfBettiuLUwce/7r6bFdgs6JFkcdTiFttA==",
       "dev": true,
       "dependencies": {
         "@ampproject/remapping": "^2.2.0",
-        "@babel/code-frame": "^7.22.13",
-        "@babel/generator": "^7.23.3",
-        "@babel/helper-compilation-targets": "^7.22.15",
-        "@babel/helper-module-transforms": "^7.23.3",
-        "@babel/helpers": "^7.23.2",
-        "@babel/parser": "^7.23.3",
-        "@babel/template": "^7.22.15",
-        "@babel/traverse": "^7.23.3",
-        "@babel/types": "^7.23.3",
+        "@babel/code-frame": "^7.24.2",
+        "@babel/generator": "^7.24.5",
+        "@babel/helper-compilation-targets": "^7.23.6",
+        "@babel/helper-module-transforms": "^7.24.5",
+        "@babel/helpers": "^7.24.5",
+        "@babel/parser": "^7.24.5",
+        "@babel/template": "^7.24.0",
+        "@babel/traverse": "^7.24.5",
+        "@babel/types": "^7.24.5",
         "convert-source-map": "^2.0.0",
         "debug": "^4.1.0",
         "gensync": "^1.0.0-beta.2",
@@ -486,14 +328,14 @@
       }
     },
     "node_modules/@babel/generator": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/generator/-/generator-7.23.3.tgz",
-      "integrity": "sha512-keeZWAV4LU3tW0qRi19HRpabC/ilM0HRBBzf9/k8FFiG4KVpiv0FIy4hHfLfFQZNhziCTPTmd59zoyv6DNISzg==",
+      "version": "7.24.5",
+      "resolved": "https://registry.npmjs.org/@babel/generator/-/generator-7.24.5.tgz",
+      "integrity": "sha512-x32i4hEXvr+iI0NEoEfDKzlemF8AmtOP8CcrRaEcpzysWuoEb1KknpcvMsHKPONoKZiDuItklgWhB18xEhr9PA==",
       "dev": true,
       "dependencies": {
-        "@babel/types": "^7.23.3",
-        "@jridgewell/gen-mapping": "^0.3.2",
-        "@jridgewell/trace-mapping": "^0.3.17",
+        "@babel/types": "^7.24.5",
+        "@jridgewell/gen-mapping": "^0.3.5",
+        "@jridgewell/trace-mapping": "^0.3.25",
         "jsesc": "^2.5.1"
       },
       "engines": {
@@ -501,14 +343,14 @@
       }
     },
     "node_modules/@babel/helper-compilation-targets": {
-      "version": "7.22.15",
-      "resolved": "https://registry.npmjs.org/@babel/helper-compilation-targets/-/helper-compilation-targets-7.22.15.tgz",
-      "integrity": "sha512-y6EEzULok0Qvz8yyLkCvVX+02ic+By2UdOhylwUOvOn9dvYc9mKICJuuU1n1XBI02YWsNsnrY1kc6DVbjcXbtw==",
+      "version": "7.23.6",
+      "resolved": "https://registry.npmjs.org/@babel/helper-compilation-targets/-/helper-compilation-targets-7.23.6.tgz",
+      "integrity": "sha512-9JB548GZoQVmzrFgp8o7KxdgkTGm6xs9DW0o/Pim72UDjzr5ObUQ6ZzYPqA+g9OTS2bBQoctLJrky0RDCAWRgQ==",
       "dev": true,
       "dependencies": {
-        "@babel/compat-data": "^7.22.9",
-        "@babel/helper-validator-option": "^7.22.15",
-        "browserslist": "^4.21.9",
+        "@babel/compat-data": "^7.23.5",
+        "@babel/helper-validator-option": "^7.23.5",
+        "browserslist": "^4.22.2",
         "lru-cache": "^5.1.1",
         "semver": "^6.3.1"
       },
@@ -551,28 +393,28 @@
       }
     },
     "node_modules/@babel/helper-module-imports": {
-      "version": "7.22.15",
-      "resolved": "https://registry.npmjs.org/@babel/helper-module-imports/-/helper-module-imports-7.22.15.tgz",
-      "integrity": "sha512-0pYVBnDKZO2fnSPCrgM/6WMc7eS20Fbok+0r88fp+YtWVLZrp4CkafFGIp+W0VKw4a22sgebPT99y+FDNMdP4w==",
+      "version": "7.24.3",
+      "resolved": "https://registry.npmjs.org/@babel/helper-module-imports/-/helper-module-imports-7.24.3.tgz",
+      "integrity": "sha512-viKb0F9f2s0BCS22QSF308z/+1YWKV/76mwt61NBzS5izMzDPwdq1pTrzf+Li3npBWX9KdQbkeCt1jSAM7lZqg==",
       "dev": true,
       "dependencies": {
-        "@babel/types": "^7.22.15"
+        "@babel/types": "^7.24.0"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/helper-module-transforms": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/helper-module-transforms/-/helper-module-transforms-7.23.3.tgz",
-      "integrity": "sha512-7bBs4ED9OmswdfDzpz4MpWgSrV7FXlc3zIagvLFjS5H+Mk7Snr21vQ6QwrsoCGMfNC4e4LQPdoULEt4ykz0SRQ==",
+      "version": "7.24.5",
+      "resolved": "https://registry.npmjs.org/@babel/helper-module-transforms/-/helper-module-transforms-7.24.5.tgz",
+      "integrity": "sha512-9GxeY8c2d2mdQUP1Dye0ks3VDyIMS98kt/llQ2nUId8IsWqTF0l1LkSX0/uP7l7MCDrzXS009Hyhe2gzTiGW8A==",
       "dev": true,
       "dependencies": {
         "@babel/helper-environment-visitor": "^7.22.20",
-        "@babel/helper-module-imports": "^7.22.15",
-        "@babel/helper-simple-access": "^7.22.5",
-        "@babel/helper-split-export-declaration": "^7.22.6",
-        "@babel/helper-validator-identifier": "^7.22.20"
+        "@babel/helper-module-imports": "^7.24.3",
+        "@babel/helper-simple-access": "^7.24.5",
+        "@babel/helper-split-export-declaration": "^7.24.5",
+        "@babel/helper-validator-identifier": "^7.24.5"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -582,88 +424,89 @@
       }
     },
     "node_modules/@babel/helper-plugin-utils": {
-      "version": "7.22.5",
-      "resolved": "https://registry.npmjs.org/@babel/helper-plugin-utils/-/helper-plugin-utils-7.22.5.tgz",
-      "integrity": "sha512-uLls06UVKgFG9QD4OeFYLEGteMIAa5kpTPcFL28yuCIIzsf6ZyKZMllKVOCZFhiZ5ptnwX4mtKdWCBE/uT4amg==",
+      "version": "7.24.5",
+      "resolved": "https://registry.npmjs.org/@babel/helper-plugin-utils/-/helper-plugin-utils-7.24.5.tgz",
+      "integrity": "sha512-xjNLDopRzW2o6ba0gKbkZq5YWEBaK3PCyTOY1K2P/O07LGMhMqlMXPxwN4S5/RhWuCobT8z0jrlKGlYmeR1OhQ==",
       "dev": true,
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/helper-simple-access": {
-      "version": "7.22.5",
-      "resolved": "https://registry.npmjs.org/@babel/helper-simple-access/-/helper-simple-access-7.22.5.tgz",
-      "integrity": "sha512-n0H99E/K+Bika3++WNL17POvo4rKWZ7lZEp1Q+fStVbUi8nxPQEBOlTmCOxW/0JsS56SKKQ+ojAe2pHKJHN35w==",
+      "version": "7.24.5",
+      "resolved": "https://registry.npmjs.org/@babel/helper-simple-access/-/helper-simple-access-7.24.5.tgz",
+      "integrity": "sha512-uH3Hmf5q5n7n8mz7arjUlDOCbttY/DW4DYhE6FUsjKJ/oYC1kQQUvwEQWxRwUpX9qQKRXeqLwWxrqilMrf32sQ==",
       "dev": true,
       "dependencies": {
-        "@babel/types": "^7.22.5"
+        "@babel/types": "^7.24.5"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/helper-split-export-declaration": {
-      "version": "7.22.6",
-      "resolved": "https://registry.npmjs.org/@babel/helper-split-export-declaration/-/helper-split-export-declaration-7.22.6.tgz",
-      "integrity": "sha512-AsUnxuLhRYsisFiaJwvp1QF+I3KjD5FOxut14q/GzovUe6orHLesW2C7d754kRm53h5gqrz6sFl6sxc4BVtE/g==",
+      "version": "7.24.5",
+      "resolved": "https://registry.npmjs.org/@babel/helper-split-export-declaration/-/helper-split-export-declaration-7.24.5.tgz",
+      "integrity": "sha512-5CHncttXohrHk8GWOFCcCl4oRD9fKosWlIRgWm4ql9VYioKm52Mk2xsmoohvm7f3JoiLSM5ZgJuRaf5QZZYd3Q==",
       "dev": true,
       "dependencies": {
-        "@babel/types": "^7.22.5"
+        "@babel/types": "^7.24.5"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/helper-string-parser": {
-      "version": "7.22.5",
-      "resolved": "https://registry.npmjs.org/@babel/helper-string-parser/-/helper-string-parser-7.22.5.tgz",
-      "integrity": "sha512-mM4COjgZox8U+JcXQwPijIZLElkgEpO5rsERVDJTc2qfCDfERyob6k5WegS14SX18IIjv+XD+GrqNumY5JRCDw==",
+      "version": "7.24.1",
+      "resolved": "https://registry.npmjs.org/@babel/helper-string-parser/-/helper-string-parser-7.24.1.tgz",
+      "integrity": "sha512-2ofRCjnnA9y+wk8b9IAREroeUP02KHp431N2mhKniy2yKIDKpbrHv9eXwm8cBeWQYcJmzv5qKCu65P47eCF7CQ==",
       "dev": true,
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/helper-validator-identifier": {
-      "version": "7.22.20",
-      "resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.22.20.tgz",
-      "integrity": "sha512-Y4OZ+ytlatR8AI+8KZfKuL5urKp7qey08ha31L8b3BwewJAoJamTzyvxPR/5D+KkdJCGPq/+8TukHBlY10FX9A==",
+      "version": "7.24.5",
+      "resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.24.5.tgz",
+      "integrity": "sha512-3q93SSKX2TWCG30M2G2kwaKeTYgEUp5Snjuj8qm729SObL6nbtUldAi37qbxkD5gg3xnBio+f9nqpSepGZMvxA==",
       "dev": true,
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/helper-validator-option": {
-      "version": "7.22.15",
-      "resolved": "https://registry.npmjs.org/@babel/helper-validator-option/-/helper-validator-option-7.22.15.tgz",
-      "integrity": "sha512-bMn7RmyFjY/mdECUbgn9eoSY4vqvacUnS9i9vGAGttgFWesO6B4CYWA7XlpbWgBt71iv/hfbPlynohStqnu5hA==",
+      "version": "7.23.5",
+      "resolved": "https://registry.npmjs.org/@babel/helper-validator-option/-/helper-validator-option-7.23.5.tgz",
+      "integrity": "sha512-85ttAOMLsr53VgXkTbkx8oA6YTfT4q7/HzXSLEYmjcSTJPMPQtvq1BD79Byep5xMUYbGRzEpDsjUf3dyp54IKw==",
       "dev": true,
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/helpers": {
-      "version": "7.23.2",
-      "resolved": "https://registry.npmjs.org/@babel/helpers/-/helpers-7.23.2.tgz",
-      "integrity": "sha512-lzchcp8SjTSVe/fPmLwtWVBFC7+Tbn8LGHDVfDp9JGxpAY5opSaEFgt8UQvrnECWOTdji2mOWMz1rOhkHscmGQ==",
+      "version": "7.24.5",
+      "resolved": "https://registry.npmjs.org/@babel/helpers/-/helpers-7.24.5.tgz",
+      "integrity": "sha512-CiQmBMMpMQHwM5m01YnrM6imUG1ebgYJ+fAIW4FZe6m4qHTPaRHti+R8cggAwkdz4oXhtO4/K9JWlh+8hIfR2Q==",
       "dev": true,
       "dependencies": {
-        "@babel/template": "^7.22.15",
-        "@babel/traverse": "^7.23.2",
-        "@babel/types": "^7.23.0"
+        "@babel/template": "^7.24.0",
+        "@babel/traverse": "^7.24.5",
+        "@babel/types": "^7.24.5"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/highlight": {
-      "version": "7.22.20",
-      "resolved": "https://registry.npmjs.org/@babel/highlight/-/highlight-7.22.20.tgz",
-      "integrity": "sha512-dkdMCN3py0+ksCgYmGG8jKeGA/8Tk+gJwSYYlFGxG5lmhfKNoAy004YpLxpS1W2J8m/EK2Ew+yOs9pVRwO89mg==",
+      "version": "7.24.5",
+      "resolved": "https://registry.npmjs.org/@babel/highlight/-/highlight-7.24.5.tgz",
+      "integrity": "sha512-8lLmua6AVh/8SLJRRVD6V8p73Hir9w5mJrhE+IPpILG31KKlI9iz5zmBYKcWPS59qSfgP9RaSBQSHHE81WKuEw==",
       "dev": true,
       "dependencies": {
-        "@babel/helper-validator-identifier": "^7.22.20",
+        "@babel/helper-validator-identifier": "^7.24.5",
         "chalk": "^2.4.2",
-        "js-tokens": "^4.0.0"
+        "js-tokens": "^4.0.0",
+        "picocolors": "^1.0.0"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -741,9 +584,9 @@
       }
     },
     "node_modules/@babel/parser": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/parser/-/parser-7.23.3.tgz",
-      "integrity": "sha512-uVsWNvlVsIninV2prNz/3lHCb+5CJ+e+IUBfbjToAHODtfGYLfCFuY4AU7TskI+dAKk+njsPiBjq1gKTvZOBaw==",
+      "version": "7.24.5",
+      "resolved": "https://registry.npmjs.org/@babel/parser/-/parser-7.24.5.tgz",
+      "integrity": "sha512-EOv5IK8arwh3LI47dz1b0tKUb/1uhHAnHJOrjgtQMIpu1uXd9mlFrJg9IUgGUgZ41Ch0K8REPTYpO7B76b4vJg==",
       "dev": true,
       "bin": {
         "parser": "bin/babel-parser.js"
@@ -813,12 +656,12 @@
       }
     },
     "node_modules/@babel/plugin-syntax-jsx": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-syntax-jsx/-/plugin-syntax-jsx-7.23.3.tgz",
-      "integrity": "sha512-EB2MELswq55OHUoRZLGg/zC7QWUKfNLpE57m/S2yr1uEneIgsTgrSzXP3NXEsMkVn76OlaVVnzN+ugObuYGwhg==",
+      "version": "7.24.1",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-syntax-jsx/-/plugin-syntax-jsx-7.24.1.tgz",
+      "integrity": "sha512-2eCtxZXf+kbkMIsXS4poTvT4Yu5rXiRa+9xGVT56raghjmBTKMpFNc9R4IDiB4emao9eO22Ox7CxuJG7BgExqA==",
       "dev": true,
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.22.5"
+        "@babel/helper-plugin-utils": "^7.24.0"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -915,12 +758,12 @@
       }
     },
     "node_modules/@babel/plugin-syntax-typescript": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/plugin-syntax-typescript/-/plugin-syntax-typescript-7.23.3.tgz",
-      "integrity": "sha512-9EiNjVJOMwCO+43TqoTrgQ8jMwcAd0sWyXi9RPfIsLTj4R2MADDDQXELhffaUx/uJv2AYcxBgPwH6j4TIA4ytQ==",
+      "version": "7.24.1",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-syntax-typescript/-/plugin-syntax-typescript-7.24.1.tgz",
+      "integrity": "sha512-Yhnmvy5HZEnHUty6i++gcfH1/l68AHnItFHnaCv6hn9dNh0hQvvQJsxpi4BMBFN5DLeHBuucT/0DgzXif/OyRw==",
       "dev": true,
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.22.5"
+        "@babel/helper-plugin-utils": "^7.24.0"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -930,34 +773,34 @@
       }
     },
     "node_modules/@babel/template": {
-      "version": "7.22.15",
-      "resolved": "https://registry.npmjs.org/@babel/template/-/template-7.22.15.tgz",
-      "integrity": "sha512-QPErUVm4uyJa60rkI73qneDacvdvzxshT3kksGqlGWYdOTIUOwJ7RDUL8sGqslY1uXWSL6xMFKEXDS3ox2uF0w==",
+      "version": "7.24.0",
+      "resolved": "https://registry.npmjs.org/@babel/template/-/template-7.24.0.tgz",
+      "integrity": "sha512-Bkf2q8lMB0AFpX0NFEqSbx1OkTHf0f+0j82mkw+ZpzBnkk7e9Ql0891vlfgi+kHwOk8tQjiQHpqh4LaSa0fKEA==",
       "dev": true,
       "dependencies": {
-        "@babel/code-frame": "^7.22.13",
-        "@babel/parser": "^7.22.15",
-        "@babel/types": "^7.22.15"
+        "@babel/code-frame": "^7.23.5",
+        "@babel/parser": "^7.24.0",
+        "@babel/types": "^7.24.0"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/traverse": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/traverse/-/traverse-7.23.3.tgz",
-      "integrity": "sha512-+K0yF1/9yR0oHdE0StHuEj3uTPzwwbrLGfNOndVJVV2TqA5+j3oljJUb4nmB954FLGjNem976+B+eDuLIjesiQ==",
+      "version": "7.24.5",
+      "resolved": "https://registry.npmjs.org/@babel/traverse/-/traverse-7.24.5.tgz",
+      "integrity": "sha512-7aaBLeDQ4zYcUFDUD41lJc1fG8+5IU9DaNSJAgal866FGvmD5EbWQgnEC6kO1gGLsX0esNkfnJSndbTXA3r7UA==",
       "dev": true,
       "dependencies": {
-        "@babel/code-frame": "^7.22.13",
-        "@babel/generator": "^7.23.3",
+        "@babel/code-frame": "^7.24.2",
+        "@babel/generator": "^7.24.5",
         "@babel/helper-environment-visitor": "^7.22.20",
         "@babel/helper-function-name": "^7.23.0",
         "@babel/helper-hoist-variables": "^7.22.5",
-        "@babel/helper-split-export-declaration": "^7.22.6",
-        "@babel/parser": "^7.23.3",
-        "@babel/types": "^7.23.3",
-        "debug": "^4.1.0",
+        "@babel/helper-split-export-declaration": "^7.24.5",
+        "@babel/parser": "^7.24.5",
+        "@babel/types": "^7.24.5",
+        "debug": "^4.3.1",
         "globals": "^11.1.0"
       },
       "engines": {
@@ -965,13 +808,13 @@
       }
     },
     "node_modules/@babel/types": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/types/-/types-7.23.3.tgz",
-      "integrity": "sha512-OZnvoH2l8PK5eUvEcUyCt/sXgr/h+UWpVuBbOljwcrAgUl6lpchoQ++PHGyQy1AtYnVA6CEq3y5xeEI10brpXw==",
+      "version": "7.24.5",
+      "resolved": "https://registry.npmjs.org/@babel/types/-/types-7.24.5.tgz",
+      "integrity": "sha512-6mQNsaLeXTw0nxYUYu+NSa4Hx4BlF1x1x8/PMFbiR+GBSr+2DkECc69b8hgy2frEodNcvPffeH8YfWd3LI6jhQ==",
       "dev": true,
       "dependencies": {
-        "@babel/helper-string-parser": "^7.22.5",
-        "@babel/helper-validator-identifier": "^7.22.20",
+        "@babel/helper-string-parser": "^7.24.1",
+        "@babel/helper-validator-identifier": "^7.24.5",
         "to-fast-properties": "^2.0.0"
       },
       "engines": {
@@ -1310,32 +1153,32 @@
       }
     },
     "node_modules/@jridgewell/gen-mapping": {
-      "version": "0.3.3",
-      "resolved": "https://registry.npmjs.org/@jridgewell/gen-mapping/-/gen-mapping-0.3.3.tgz",
-      "integrity": "sha512-HLhSWOLRi875zjjMG/r+Nv0oCW8umGb0BgEhyX3dDX3egwZtB8PqLnjz3yedt8R5StBrzcg4aBpnh8UA9D1BoQ==",
+      "version": "0.3.5",
+      "resolved": "https://registry.npmjs.org/@jridgewell/gen-mapping/-/gen-mapping-0.3.5.tgz",
+      "integrity": "sha512-IzL8ZoEDIBRWEzlCcRhOaCupYyN5gdIK+Q6fbFdPDg6HqX6jpkItn7DFIpW9LQzXG6Df9sA7+OKnq0qlz/GaQg==",
       "dev": true,
       "dependencies": {
-        "@jridgewell/set-array": "^1.0.1",
+        "@jridgewell/set-array": "^1.2.1",
         "@jridgewell/sourcemap-codec": "^1.4.10",
-        "@jridgewell/trace-mapping": "^0.3.9"
+        "@jridgewell/trace-mapping": "^0.3.24"
       },
       "engines": {
         "node": ">=6.0.0"
       }
     },
     "node_modules/@jridgewell/resolve-uri": {
-      "version": "3.1.1",
-      "resolved": "https://registry.npmjs.org/@jridgewell/resolve-uri/-/resolve-uri-3.1.1.tgz",
-      "integrity": "sha512-dSYZh7HhCDtCKm4QakX0xFpsRDqjjtZf/kjI/v3T3Nwt5r8/qz/M19F9ySyOqU94SXBmeG9ttTul+YnR4LOxFA==",
+      "version": "3.1.2",
+      "resolved": "https://registry.npmjs.org/@jridgewell/resolve-uri/-/resolve-uri-3.1.2.tgz",
+      "integrity": "sha512-bRISgCIjP20/tbWSPWMEi54QVPRZExkuD9lJL+UIxUKtwVJA8wW1Trb1jMs1RFXo1CBTNZ/5hpC9QvmKWdopKw==",
       "dev": true,
       "engines": {
         "node": ">=6.0.0"
       }
     },
     "node_modules/@jridgewell/set-array": {
-      "version": "1.1.2",
-      "resolved": "https://registry.npmjs.org/@jridgewell/set-array/-/set-array-1.1.2.tgz",
-      "integrity": "sha512-xnkseuNADM0gt2bs+BvhO0p78Mk762YnZdsuzFV018NoG1Sj1SCQvpSqa7XUaTam5vAGasABV9qXASMKnFMwMw==",
+      "version": "1.2.1",
+      "resolved": "https://registry.npmjs.org/@jridgewell/set-array/-/set-array-1.2.1.tgz",
+      "integrity": "sha512-R8gLRTZeyp03ymzP/6Lil/28tGeGEzhx1q2k703KGWRAI1VdvPIXdG70VJc2pAMw3NA6JKL5hhFu1sJX0Mnn/A==",
       "dev": true,
       "engines": {
         "node": ">=6.0.0"
@@ -1348,9 +1191,9 @@
       "dev": true
     },
     "node_modules/@jridgewell/trace-mapping": {
-      "version": "0.3.20",
-      "resolved": "https://registry.npmjs.org/@jridgewell/trace-mapping/-/trace-mapping-0.3.20.tgz",
-      "integrity": "sha512-R8LcPeWZol2zR8mmH3JeKQ6QRCFb7XgUhV9ZlGhHLGyg4wpPiPZNQOOWhFZhxKw8u//yTbNGI42Bx/3paXEQ+Q==",
+      "version": "0.3.25",
+      "resolved": "https://registry.npmjs.org/@jridgewell/trace-mapping/-/trace-mapping-0.3.25.tgz",
+      "integrity": "sha512-vNk6aEwybGtawWmy/PzwnGDOjCkLWSD2wqvjGGAgOAwCGWySYXfYoxt00IJkTF+8Lb57DwOb3Aa0o9CApepiYQ==",
       "dev": true,
       "dependencies": {
         "@jridgewell/resolve-uri": "^3.1.0",
@@ -1364,9 +1207,9 @@
       "dev": true
     },
     "node_modules/@sinonjs/commons": {
-      "version": "3.0.0",
-      "resolved": "https://registry.npmjs.org/@sinonjs/commons/-/commons-3.0.0.tgz",
-      "integrity": "sha512-jXBtWAF4vmdNmZgD5FoKsVLv3rPgDnLgPbU84LIJ3otV44vJlDRokVng5v8NFJdCf/da9legHcKaRuZs4L7faA==",
+      "version": "3.0.1",
+      "resolved": "https://registry.npmjs.org/@sinonjs/commons/-/commons-3.0.1.tgz",
+      "integrity": "sha512-K3mCHKQ9sVh8o1C9cxkwxaOmXoAMlDxC1mYyHrjqOWEcBjYr76t96zL2zlj5dUGZ3HSw240X1qgH3Mjf1yJWpQ==",
       "dev": true,
       "dependencies": {
         "type-detect": "4.0.8"
@@ -1382,9 +1225,9 @@
       }
     },
     "node_modules/@tsconfig/node10": {
-      "version": "1.0.9",
-      "resolved": "https://registry.npmjs.org/@tsconfig/node10/-/node10-1.0.9.tgz",
-      "integrity": "sha512-jNsYVVxU8v5g43Erja32laIDHXeoNvFEpX33OK4d6hljo3jDhCBDhx5dhCCTMWUojscpAagGiRkBKxpdl9fxqA==",
+      "version": "1.0.11",
+      "resolved": "https://registry.npmjs.org/@tsconfig/node10/-/node10-1.0.11.tgz",
+      "integrity": "sha512-DcRjDCujK/kCk/cUe8Xz8ZSpm8mS3mNNpta+jGCA6USEDfktlNvm1+IuZ9eTcDbNk41BHwpHHeW+N1lKCz4zOw==",
       "dev": true
     },
     "node_modules/@tsconfig/node12": {
@@ -1406,9 +1249,9 @@
       "dev": true
     },
     "node_modules/@types/babel__core": {
-      "version": "7.20.4",
-      "resolved": "https://registry.npmjs.org/@types/babel__core/-/babel__core-7.20.4.tgz",
-      "integrity": "sha512-mLnSC22IC4vcWiuObSRjrLd9XcBTGf59vUSoq2jkQDJ/QQ8PMI9rSuzE+aEV8karUMbskw07bKYoUJCKTUaygg==",
+      "version": "7.20.5",
+      "resolved": "https://registry.npmjs.org/@types/babel__core/-/babel__core-7.20.5.tgz",
+      "integrity": "sha512-qoQprZvz5wQFJwMDqeseRXWv3rqMvhgpbXFfVyWhbx9X47POIA6i/+dXefEmZKoAgOaTdaIgNSMqMIU61yRyzA==",
       "dev": true,
       "dependencies": {
         "@babel/parser": "^7.20.7",
@@ -1419,9 +1262,9 @@
       }
     },
     "node_modules/@types/babel__generator": {
-      "version": "7.6.7",
-      "resolved": "https://registry.npmjs.org/@types/babel__generator/-/babel__generator-7.6.7.tgz",
-      "integrity": "sha512-6Sfsq+EaaLrw4RmdFWE9Onp63TOUue71AWb4Gpa6JxzgTYtimbM086WnYTy2U67AofR++QKCo08ZP6pwx8YFHQ==",
+      "version": "7.6.8",
+      "resolved": "https://registry.npmjs.org/@types/babel__generator/-/babel__generator-7.6.8.tgz",
+      "integrity": "sha512-ASsj+tpEDsEiFr1arWrlN6V3mdfjRMZt6LtK/Vp/kreFLnr5QH5+DhvD5nINYZXzwJvXeGq+05iUXcAzVrqWtw==",
       "dev": true,
       "dependencies": {
         "@babel/types": "^7.0.0"
@@ -1438,9 +1281,9 @@
       }
     },
     "node_modules/@types/babel__traverse": {
-      "version": "7.20.4",
-      "resolved": "https://registry.npmjs.org/@types/babel__traverse/-/babel__traverse-7.20.4.tgz",
-      "integrity": "sha512-mSM/iKUk5fDDrEV/e83qY+Cr3I1+Q3qqTuEn++HAWYjEa1+NxZr6CNrcJGf2ZTnq4HoFGC3zaTPZTobCzCFukA==",
+      "version": "7.20.5",
+      "resolved": "https://registry.npmjs.org/@types/babel__traverse/-/babel__traverse-7.20.5.tgz",
+      "integrity": "sha512-WXCyOcRtH37HAUkpXhUduaxdm82b4GSlyTqajXviN4EfiuPgNYR109xMCKvpl6zPIpua0DGlMEDCq+g8EdoheQ==",
       "dev": true,
       "dependencies": {
         "@babel/types": "^7.20.7"
@@ -1480,9 +1323,9 @@
       }
     },
     "node_modules/@types/jest": {
-      "version": "29.5.8",
-      "resolved": "https://registry.npmjs.org/@types/jest/-/jest-29.5.8.tgz",
-      "integrity": "sha512-fXEFTxMV2Co8ZF5aYFJv+YeA08RTYJfhtN5c9JSv/mFEMe+xxjufCb+PHL+bJcMs/ebPUsBu+UNTEz+ydXrR6g==",
+      "version": "29.5.12",
+      "resolved": "https://registry.npmjs.org/@types/jest/-/jest-29.5.12.tgz",
+      "integrity": "sha512-eDC8bTvT/QhYdxJAulQikueigY5AsdBRH2yDKW3yveW7svY3+DzN84/2NUgkw10RTiJbWqZrTtoGVdYlvFJdLw==",
       "dev": true,
       "dependencies": {
         "expect": "^29.0.0",
@@ -1490,10 +1333,13 @@
       }
     },
     "node_modules/@types/node": {
-      "version": "20.1.7",
-      "resolved": "https://registry.npmjs.org/@types/node/-/node-20.1.7.tgz",
-      "integrity": "sha512-WCuw/o4GSwDGMoonES8rcvwsig77dGCMbZDrZr2x4ZZiNW4P/gcoZXe/0twgtobcTkmg9TuKflxYL/DuwDyJzg==",
-      "dev": true
+      "version": "20.12.12",
+      "resolved": "https://registry.npmjs.org/@types/node/-/node-20.12.12.tgz",
+      "integrity": "sha512-eWLDGF/FOSPtAvEqeRAQ4C8LSA7M1I7i0ky1I8U7kD1J5ITyW3AsRhQrKVoWf5pFKZ2kILsEGJhsI9r93PYnOw==",
+      "dev": true,
+      "dependencies": {
+        "undici-types": "~5.26.4"
+      }
     },
     "node_modules/@types/stack-utils": {
       "version": "2.0.3",
@@ -1502,9 +1348,9 @@
       "dev": true
     },
     "node_modules/@types/yargs": {
-      "version": "17.0.31",
-      "resolved": "https://registry.npmjs.org/@types/yargs/-/yargs-17.0.31.tgz",
-      "integrity": "sha512-bocYSx4DI8TmdlvxqGpVNXOgCNR1Jj0gNPhhAY+iz1rgKDAaYrAYdFYnhDV1IFuiuVc9HkOwyDcFxaTElF3/wg==",
+      "version": "17.0.32",
+      "resolved": "https://registry.npmjs.org/@types/yargs/-/yargs-17.0.32.tgz",
+      "integrity": "sha512-xQ67Yc/laOG5uMfX/093MRlGGCIBzZMarVa+gfNKJxWAIgykYpVGkBdbqEzGDDfCrVUj6Hiff4mTZ5BA6TmAog==",
       "dev": true,
       "dependencies": {
         "@types/yargs-parser": "*"
@@ -1517,9 +1363,9 @@
       "dev": true
     },
     "node_modules/acorn": {
-      "version": "8.11.2",
-      "resolved": "https://registry.npmjs.org/acorn/-/acorn-8.11.2.tgz",
-      "integrity": "sha512-nc0Axzp/0FILLEVsm4fNwLCwMttvhEI263QtVPQcbpfZZ3ts0hLsZGOpE6czNlid7CJ9MlyH8reXkpsf3YUY4w==",
+      "version": "8.11.3",
+      "resolved": "https://registry.npmjs.org/acorn/-/acorn-8.11.3.tgz",
+      "integrity": "sha512-Y9rRfJG5jcKOE0CLisYbojUjIrIEE7AGMzA/Sm4BslANhbS+cDMpgBdcPT91oJ7OuJ9hYJBx59RjbhxVnrF8Xg==",
       "dev": true,
       "bin": {
         "acorn": "bin/acorn"
@@ -1529,9 +1375,9 @@
       }
     },
     "node_modules/acorn-walk": {
-      "version": "8.3.0",
-      "resolved": "https://registry.npmjs.org/acorn-walk/-/acorn-walk-8.3.0.tgz",
-      "integrity": "sha512-FS7hV565M5l1R08MXqo8odwMTB02C2UqzB17RVgu9EyuYFBqJZ3/ZY97sQD5FewVu1UyDFc1yztUDrAwT0EypA==",
+      "version": "8.3.2",
+      "resolved": "https://registry.npmjs.org/acorn-walk/-/acorn-walk-8.3.2.tgz",
+      "integrity": "sha512-cjkyv4OtNCIeqhHrfS81QWXoCBPExR/J62oyEqepVw8WaQeSqpW2uhuLPh1m9eWhDuOo/jUXVTlifvesOWp/4A==",
       "dev": true,
       "engines": {
         "node": ">=0.4.0"
@@ -1605,9 +1451,9 @@
       }
     },
     "node_modules/aws-cdk": {
-      "version": "2.86.0",
-      "resolved": "https://registry.npmjs.org/aws-cdk/-/aws-cdk-2.86.0.tgz",
-      "integrity": "sha512-GRcdU6p00Zu3fIZYPG+EbpDYppYMtzebuf0jrmCfKhCytRGaPWDHHfu3hrv0de4d0zbUD/+AmiODPMu3J6nXbQ==",
+      "version": "2.141.0",
+      "resolved": "https://registry.npmjs.org/aws-cdk/-/aws-cdk-2.141.0.tgz",
+      "integrity": "sha512-RM9uDiETBEKCHemItaRGVjOLwoZ5iqXnejpyXY7+YF75c2c0Ui7HSZI8QD0stDg3S/2UbLcKv2RA9dBsjrWUGA==",
       "dev": true,
       "bin": {
         "cdk": "bin/cdk"
@@ -1620,9 +1466,9 @@
       }
     },
     "node_modules/aws-cdk-lib": {
-      "version": "2.124.0",
-      "resolved": "https://registry.npmjs.org/aws-cdk-lib/-/aws-cdk-lib-2.124.0.tgz",
-      "integrity": "sha512-K/Tey8TMw30GO6UD0qb19CPhBMZhleGshz520ZnbDUJwNfFtejwZOnpmRMOdUP9f4tHc5BrXl1VGsZtXtUaGhg==",
+      "version": "2.141.0",
+      "resolved": "https://registry.npmjs.org/aws-cdk-lib/-/aws-cdk-lib-2.141.0.tgz",
+      "integrity": "sha512-xda56Lfwpdqg9MssnFdXrAKTmeeNjfrfFCaWwqGqToG6cfGY2W+6wyyoObX60/MeZGhhs3Lhdb/K94ulLJ4X/A==",
       "bundleDependencies": [
         "@balena/dockerignore",
         "case",
@@ -1633,21 +1479,23 @@
         "punycode",
         "semver",
         "table",
-        "yaml"
+        "yaml",
+        "mime-types"
       ],
       "dependencies": {
         "@aws-cdk/asset-awscli-v1": "^2.2.202",
         "@aws-cdk/asset-kubectl-v20": "^2.1.2",
-        "@aws-cdk/asset-node-proxy-agent-v6": "^2.0.1",
+        "@aws-cdk/asset-node-proxy-agent-v6": "^2.0.3",
         "@balena/dockerignore": "^1.0.2",
         "case": "1.6.3",
         "fs-extra": "^11.2.0",
-        "ignore": "^5.3.0",
+        "ignore": "^5.3.1",
         "jsonschema": "^1.4.1",
+        "mime-types": "^2.1.35",
         "minimatch": "^3.1.2",
         "punycode": "^2.3.1",
-        "semver": "^7.5.4",
-        "table": "^6.8.1",
+        "semver": "^7.6.0",
+        "table": "^6.8.2",
         "yaml": "1.10.2"
       },
       "engines": {
@@ -1663,14 +1511,14 @@
       "license": "Apache-2.0"
     },
     "node_modules/aws-cdk-lib/node_modules/ajv": {
-      "version": "8.12.0",
+      "version": "8.13.0",
       "inBundle": true,
       "license": "MIT",
       "dependencies": {
-        "fast-deep-equal": "^3.1.1",
+        "fast-deep-equal": "^3.1.3",
         "json-schema-traverse": "^1.0.0",
         "require-from-string": "^2.0.2",
-        "uri-js": "^4.2.2"
+        "uri-js": "^4.4.1"
       },
       "funding": {
         "type": "github",
@@ -1779,7 +1627,7 @@
       "license": "ISC"
     },
     "node_modules/aws-cdk-lib/node_modules/ignore": {
-      "version": "5.3.0",
+      "version": "5.3.1",
       "inBundle": true,
       "license": "MIT",
       "engines": {
@@ -1834,6 +1682,25 @@
         "node": ">=10"
       }
     },
+    "node_modules/aws-cdk-lib/node_modules/mime-db": {
+      "version": "1.52.0",
+      "inBundle": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">= 0.6"
+      }
+    },
+    "node_modules/aws-cdk-lib/node_modules/mime-types": {
+      "version": "2.1.35",
+      "inBundle": true,
+      "license": "MIT",
+      "dependencies": {
+        "mime-db": "1.52.0"
+      },
+      "engines": {
+        "node": ">= 0.6"
+      }
+    },
     "node_modules/aws-cdk-lib/node_modules/minimatch": {
       "version": "3.1.2",
       "inBundle": true,
@@ -1862,7 +1729,7 @@
       }
     },
     "node_modules/aws-cdk-lib/node_modules/semver": {
-      "version": "7.5.4",
+      "version": "7.6.0",
       "inBundle": true,
       "license": "ISC",
       "dependencies": {
@@ -1916,7 +1783,7 @@
       }
     },
     "node_modules/aws-cdk-lib/node_modules/table": {
-      "version": "6.8.1",
+      "version": "6.8.2",
       "inBundle": true,
       "license": "BSD-3-Clause",
       "dependencies": {
@@ -2095,9 +1962,9 @@
       }
     },
     "node_modules/browserslist": {
-      "version": "4.22.1",
-      "resolved": "https://registry.npmjs.org/browserslist/-/browserslist-4.22.1.tgz",
-      "integrity": "sha512-FEVc202+2iuClEhZhrWy6ZiAcRLvNMyYcxZ8raemul1DYVOVdFsbqckWLdsixQZCpJlwe77Z3UTalE7jsjnKfQ==",
+      "version": "4.23.0",
+      "resolved": "https://registry.npmjs.org/browserslist/-/browserslist-4.23.0.tgz",
+      "integrity": "sha512-QW8HiM1shhT2GuzkvklfjcKDiWFXHOeFCIA/huJPwHsslwcydgk7X+z2zXpEijP98UCY7HbubZt5J2Zgvf0CaQ==",
       "dev": true,
       "funding": [
         {
@@ -2114,9 +1981,9 @@
         }
       ],
       "dependencies": {
-        "caniuse-lite": "^1.0.30001541",
-        "electron-to-chromium": "^1.4.535",
-        "node-releases": "^2.0.13",
+        "caniuse-lite": "^1.0.30001587",
+        "electron-to-chromium": "^1.4.668",
+        "node-releases": "^2.0.14",
         "update-browserslist-db": "^1.0.13"
       },
       "bin": {
@@ -2171,9 +2038,9 @@
       }
     },
     "node_modules/caniuse-lite": {
-      "version": "1.0.30001561",
-      "resolved": "https://registry.npmjs.org/caniuse-lite/-/caniuse-lite-1.0.30001561.tgz",
-      "integrity": "sha512-NTt0DNoKe958Q0BE0j0c1V9jbUzhBxHIEJy7asmGrpE0yG63KTV7PLHPnK2E1O9RsQrQ081I3NLuXGS6zht3cw==",
+      "version": "1.0.30001618",
+      "resolved": "https://registry.npmjs.org/caniuse-lite/-/caniuse-lite-1.0.30001618.tgz",
+      "integrity": "sha512-p407+D1tIkDvsEAPS22lJxLQQaG8OTBEqo0KhzfABGk0TU4juBNDSfH0hyAp/HRyx+M8L17z/ltyhxh27FTfQg==",
       "dev": true,
       "funding": [
         {
@@ -2191,9 +2058,9 @@
       ]
     },
     "node_modules/cdk-ecr-deployment": {
-      "version": "2.5.30",
-      "resolved": "https://registry.npmjs.org/cdk-ecr-deployment/-/cdk-ecr-deployment-2.5.30.tgz",
-      "integrity": "sha512-IFS/DD6OmNcXv24YKjjaz1sb04xxsoUb7vPYwx7kTBAOxOnT0CuAadF8/HVfM/YVoqoOPXCJe3ikAXy1iI0nKw==",
+      "version": "3.0.55",
+      "resolved": "https://registry.npmjs.org/cdk-ecr-deployment/-/cdk-ecr-deployment-3.0.55.tgz",
+      "integrity": "sha512-z10vrHqdFX08uNT3KPFU6TeBJIP+j0xst0atwW7XL1TK3TPe8CSUG+LAs2Uh0dkX3fsVesAWEIbw4QmiMiIsoQ==",
       "bundleDependencies": [
         "got",
         "hpagent"
@@ -2243,12 +2110,15 @@
       }
     },
     "node_modules/cdk-ecr-deployment/node_modules/@types/cacheable-request/node_modules/@types/node": {
-      "version": "20.3.3",
+      "version": "20.12.11",
       "inBundle": true,
-      "license": "MIT"
+      "license": "MIT",
+      "dependencies": {
+        "undici-types": "~5.26.4"
+      }
     },
     "node_modules/cdk-ecr-deployment/node_modules/@types/http-cache-semantics": {
-      "version": "4.0.1",
+      "version": "4.0.4",
       "inBundle": true,
       "license": "MIT"
     },
@@ -2261,12 +2131,15 @@
       }
     },
     "node_modules/cdk-ecr-deployment/node_modules/@types/keyv/node_modules/@types/node": {
-      "version": "20.3.3",
+      "version": "20.12.11",
       "inBundle": true,
-      "license": "MIT"
+      "license": "MIT",
+      "dependencies": {
+        "undici-types": "~5.26.4"
+      }
     },
     "node_modules/cdk-ecr-deployment/node_modules/@types/responselike": {
-      "version": "1.0.0",
+      "version": "1.0.3",
       "inBundle": true,
       "license": "MIT",
       "dependencies": {
@@ -2274,9 +2147,12 @@
       }
     },
     "node_modules/cdk-ecr-deployment/node_modules/@types/responselike/node_modules/@types/node": {
-      "version": "20.3.3",
+      "version": "20.12.11",
       "inBundle": true,
-      "license": "MIT"
+      "license": "MIT",
+      "dependencies": {
+        "undici-types": "~5.26.4"
+      }
     },
     "node_modules/cdk-ecr-deployment/node_modules/cacheable-lookup": {
       "version": "5.0.4",
@@ -2303,20 +2179,6 @@
         "node": ">=8"
       }
     },
-    "node_modules/cdk-ecr-deployment/node_modules/cacheable-request/node_modules/get-stream": {
-      "version": "5.2.0",
-      "inBundle": true,
-      "license": "MIT",
-      "dependencies": {
-        "pump": "^3.0.0"
-      },
-      "engines": {
-        "node": ">=8"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/sindresorhus"
-      }
-    },
     "node_modules/cdk-ecr-deployment/node_modules/clone-response": {
       "version": "1.0.3",
       "inBundle": true,
@@ -2366,6 +2228,20 @@
         "once": "^1.4.0"
       }
     },
+    "node_modules/cdk-ecr-deployment/node_modules/get-stream": {
+      "version": "5.2.0",
+      "inBundle": true,
+      "license": "MIT",
+      "dependencies": {
+        "pump": "^3.0.0"
+      },
+      "engines": {
+        "node": ">=8"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
+      }
+    },
     "node_modules/cdk-ecr-deployment/node_modules/got": {
       "version": "11.8.6",
       "inBundle": true,
@@ -2418,7 +2294,7 @@
       "license": "MIT"
     },
     "node_modules/cdk-ecr-deployment/node_modules/keyv": {
-      "version": "4.5.2",
+      "version": "4.5.4",
       "inBundle": true,
       "license": "MIT",
       "dependencies": {
@@ -2507,6 +2383,11 @@
         "url": "https://github.com/sponsors/sindresorhus"
       }
     },
+    "node_modules/cdk-ecr-deployment/node_modules/undici-types": {
+      "version": "5.26.5",
+      "inBundle": true,
+      "license": "MIT"
+    },
     "node_modules/cdk-ecr-deployment/node_modules/wrappy": {
       "version": "1.0.2",
       "inBundle": true,
@@ -2553,9 +2434,9 @@
       }
     },
     "node_modules/cjs-module-lexer": {
-      "version": "1.2.3",
-      "resolved": "https://registry.npmjs.org/cjs-module-lexer/-/cjs-module-lexer-1.2.3.tgz",
-      "integrity": "sha512-0TNiGstbQmCFwt4akjjBg5pLRTSyj/PkWQ1ZoO2zntmg9yLqSRxwEa4iCfQLGjqhiqBfOJa7W/E8wfGrTDmlZQ==",
+      "version": "1.3.1",
+      "resolved": "https://registry.npmjs.org/cjs-module-lexer/-/cjs-module-lexer-1.3.1.tgz",
+      "integrity": "sha512-a3KdPAANPbNE4ZUv9h6LckSl9zLsYOP4MBmhIPkRaeyybt+r4UghLvq+xw/YwUcC1gqylCkL4rdVs3Lwupjm4Q==",
       "dev": true
     },
     "node_modules/cliui": {
@@ -2685,9 +2566,9 @@
       }
     },
     "node_modules/dedent": {
-      "version": "1.5.1",
-      "resolved": "https://registry.npmjs.org/dedent/-/dedent-1.5.1.tgz",
-      "integrity": "sha512-+LxW+KLWxu3HW3M2w2ympwtqPrqYRzU8fqi6Fhd18fBALe15blJPI/I4+UHveMVG6lJqB4JNd4UG0S5cnVHwIg==",
+      "version": "1.5.3",
+      "resolved": "https://registry.npmjs.org/dedent/-/dedent-1.5.3.tgz",
+      "integrity": "sha512-NHQtfOOW68WD8lgypbLA5oT+Bt0xXJhiYvoR6SmmNXZfpzOGXwdKWmcwG8N7PwVVWV3eF/68nmD9BaJSsTBhyQ==",
       "dev": true,
       "peerDependencies": {
         "babel-plugin-macros": "^3.1.0"
@@ -2708,9 +2589,9 @@
       }
     },
     "node_modules/deploy-time-build": {
-      "version": "0.3.12",
-      "resolved": "https://registry.npmjs.org/deploy-time-build/-/deploy-time-build-0.3.12.tgz",
-      "integrity": "sha512-fVyuwB0Nh7mOLYswhHIHv3NOCeTWyNAjzM8cqSBnuhfvRKSdLZUFPnfwlPk1VgvYp9lfrxBZ+eicjWPBrAr53g==",
+      "version": "0.3.21",
+      "resolved": "https://registry.npmjs.org/deploy-time-build/-/deploy-time-build-0.3.21.tgz",
+      "integrity": "sha512-lbc5TS08md+5e+cU4sxpDzOiUNWOEfuvElhapPHGWMrzJjINdiAv6hw9vc5ExnTZmYoOCcE1oNdaVbc8FCqiRA==",
       "peerDependencies": {
         "aws-cdk-lib": "^2.38.0",
         "constructs": "^10.0.5"
@@ -2744,20 +2625,20 @@
       }
     },
     "node_modules/dotenv": {
-      "version": "16.3.1",
-      "resolved": "https://registry.npmjs.org/dotenv/-/dotenv-16.3.1.tgz",
-      "integrity": "sha512-IPzF4w4/Rd94bA9imS68tZBaYyBWSCE47V1RGuMrB94iyTOIEwRmVL2x/4An+6mETpLrKJ5hQkB8W4kFAadeIQ==",
+      "version": "16.4.5",
+      "resolved": "https://registry.npmjs.org/dotenv/-/dotenv-16.4.5.tgz",
+      "integrity": "sha512-ZmdL2rui+eB2YwhsWzjInR8LldtZHGDoQ1ugH85ppHKwpUHL7j7rN0Ti9NCnGiQbhaZ11FpR+7ao1dNsmduNUg==",
       "engines": {
         "node": ">=12"
       },
       "funding": {
-        "url": "https://github.com/motdotla/dotenv?sponsor=1"
+        "url": "https://dotenvx.com"
       }
     },
     "node_modules/electron-to-chromium": {
-      "version": "1.4.580",
-      "resolved": "https://registry.npmjs.org/electron-to-chromium/-/electron-to-chromium-1.4.580.tgz",
-      "integrity": "sha512-T5q3pjQon853xxxHUq3ZP68ZpvJHuSMY2+BZaW3QzjS4HvNuvsMmZ/+lU+nCrftre1jFZ+OSlExynXWBihnXzw==",
+      "version": "1.4.767",
+      "resolved": "https://registry.npmjs.org/electron-to-chromium/-/electron-to-chromium-1.4.767.tgz",
+      "integrity": "sha512-nzzHfmQqBss7CE3apQHkHjXW77+8w3ubGCIoEijKCJebPufREaFETgGXWTkh32t259F3Kcq+R8MZdFdOJROgYw==",
       "dev": true
     },
     "node_modules/emittery": {
@@ -2788,9 +2669,9 @@
       }
     },
     "node_modules/escalade": {
-      "version": "3.1.1",
-      "resolved": "https://registry.npmjs.org/escalade/-/escalade-3.1.1.tgz",
-      "integrity": "sha512-k0er2gUkLf8O0zKJiAhmkTnJlTvINGv7ygDNPbeIsX/TJjGJZHuh9B2UxbsaEkmlEo9MfhrSzmhIlhRlI2GXnw==",
+      "version": "3.1.2",
+      "resolved": "https://registry.npmjs.org/escalade/-/escalade-3.1.2.tgz",
+      "integrity": "sha512-ErCHMCae19vR8vQGe50xIsVomy19rg6gFu3+r3jkEO46suLMWBksvVyoGgQV+jOfl84ZSOSlmv6Gxa89PmTGmA==",
       "dev": true,
       "engines": {
         "node": ">=6"
@@ -3019,9 +2900,9 @@
       }
     },
     "node_modules/hasown": {
-      "version": "2.0.0",
-      "resolved": "https://registry.npmjs.org/hasown/-/hasown-2.0.0.tgz",
-      "integrity": "sha512-vUptKVTpIJhcczKBbgnS+RtcuYMB8+oNzPK2/Hp3hanz8JmpATdmmgLgSaadVREkDm+e2giHwY3ZRkyjSIDDFA==",
+      "version": "2.0.2",
+      "resolved": "https://registry.npmjs.org/hasown/-/hasown-2.0.2.tgz",
+      "integrity": "sha512-0hJU9SCPvmMzIBdZFqNPXWa6dqh7WdH0cII9y+CyS8rG3nL48Bclra9HmKhVVUHyPWNH5Y7xDwAB7bfgSjkUMQ==",
       "dev": true,
       "dependencies": {
         "function-bind": "^1.1.2"
@@ -3162,14 +3043,14 @@
       }
     },
     "node_modules/istanbul-lib-instrument": {
-      "version": "6.0.1",
-      "resolved": "https://registry.npmjs.org/istanbul-lib-instrument/-/istanbul-lib-instrument-6.0.1.tgz",
-      "integrity": "sha512-EAMEJBsYuyyztxMxW3g7ugGPkrZsV57v0Hmv3mm1uQsmB+QnZuepg731CRaIgeUVSdmsTngOkSnauNF8p7FIhA==",
+      "version": "6.0.2",
+      "resolved": "https://registry.npmjs.org/istanbul-lib-instrument/-/istanbul-lib-instrument-6.0.2.tgz",
+      "integrity": "sha512-1WUsZ9R1lA0HtBSohTkm39WTPlNKSJ5iFk7UwqXkBLoHQT+hfqPsfsTDVuZdKGaBwn7din9bS7SsnoAr943hvw==",
       "dev": true,
       "dependencies": {
-        "@babel/core": "^7.12.3",
-        "@babel/parser": "^7.14.7",
-        "@istanbuljs/schema": "^0.1.2",
+        "@babel/core": "^7.23.9",
+        "@babel/parser": "^7.23.9",
+        "@istanbuljs/schema": "^0.1.3",
         "istanbul-lib-coverage": "^3.2.0",
         "semver": "^7.5.4"
       },
@@ -3177,26 +3058,11 @@
         "node": ">=10"
       }
     },
-    "node_modules/istanbul-lib-instrument/node_modules/lru-cache": {
-      "version": "6.0.0",
-      "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-6.0.0.tgz",
-      "integrity": "sha512-Jo6dJ04CmSjuznwJSS3pUeWmd/H0ffTlkXXgwZi+eq1UCmqQwCh+eLsYOYCwY991i2Fah4h1BEMCx4qThGbsiA==",
-      "dev": true,
-      "dependencies": {
-        "yallist": "^4.0.0"
-      },
-      "engines": {
-        "node": ">=10"
-      }
-    },
     "node_modules/istanbul-lib-instrument/node_modules/semver": {
-      "version": "7.5.4",
-      "resolved": "https://registry.npmjs.org/semver/-/semver-7.5.4.tgz",
-      "integrity": "sha512-1bCSESV6Pv+i21Hvpxp3Dx+pSD8lIPt8uVjRrxAUt/nbswYc+tK6Y2btiULjd4+fnq15PX+nqQDC7Oft7WkwcA==",
+      "version": "7.6.2",
+      "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.2.tgz",
+      "integrity": "sha512-FNAIBWCx9qcRhoHcgcJ0gvU7SN1lYU2ZXuSfl04bSC5OpvDHFyJCjdNHomPXxjQlCBU67YW64PzY7/VIEH7F2w==",
       "dev": true,
-      "dependencies": {
-        "lru-cache": "^6.0.0"
-      },
       "bin": {
         "semver": "bin/semver.js"
       },
@@ -3204,12 +3070,6 @@
         "node": ">=10"
       }
     },
-    "node_modules/istanbul-lib-instrument/node_modules/yallist": {
-      "version": "4.0.0",
-      "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz",
-      "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A==",
-      "dev": true
-    },
     "node_modules/istanbul-lib-report": {
       "version": "3.0.1",
       "resolved": "https://registry.npmjs.org/istanbul-lib-report/-/istanbul-lib-report-3.0.1.tgz",
@@ -3239,9 +3099,9 @@
       }
     },
     "node_modules/istanbul-reports": {
-      "version": "3.1.6",
-      "resolved": "https://registry.npmjs.org/istanbul-reports/-/istanbul-reports-3.1.6.tgz",
-      "integrity": "sha512-TLgnMkKg3iTDsQ9PbPTdpfAK2DzjF9mqUG7RMgcQl8oFjad8ob4laGxv5XV5U9MAfx8D6tSJiUyuAwzLicaxlg==",
+      "version": "3.1.7",
+      "resolved": "https://registry.npmjs.org/istanbul-reports/-/istanbul-reports-3.1.7.tgz",
+      "integrity": "sha512-BewmUXImeuRk2YY0PVbxgKAysvhRPUQE0h5QRM++nVWyubKGV0l8qQ5op8+B2DOmwSe63Jivj0BjkPQVf8fP5g==",
       "dev": true,
       "dependencies": {
         "html-escaper": "^2.0.0",
@@ -3721,26 +3581,11 @@
         "node": "^14.15.0 || ^16.10.0 || >=18.0.0"
       }
     },
-    "node_modules/jest-snapshot/node_modules/lru-cache": {
-      "version": "6.0.0",
-      "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-6.0.0.tgz",
-      "integrity": "sha512-Jo6dJ04CmSjuznwJSS3pUeWmd/H0ffTlkXXgwZi+eq1UCmqQwCh+eLsYOYCwY991i2Fah4h1BEMCx4qThGbsiA==",
-      "dev": true,
-      "dependencies": {
-        "yallist": "^4.0.0"
-      },
-      "engines": {
-        "node": ">=10"
-      }
-    },
     "node_modules/jest-snapshot/node_modules/semver": {
-      "version": "7.5.4",
-      "resolved": "https://registry.npmjs.org/semver/-/semver-7.5.4.tgz",
-      "integrity": "sha512-1bCSESV6Pv+i21Hvpxp3Dx+pSD8lIPt8uVjRrxAUt/nbswYc+tK6Y2btiULjd4+fnq15PX+nqQDC7Oft7WkwcA==",
+      "version": "7.6.2",
+      "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.2.tgz",
+      "integrity": "sha512-FNAIBWCx9qcRhoHcgcJ0gvU7SN1lYU2ZXuSfl04bSC5OpvDHFyJCjdNHomPXxjQlCBU67YW64PzY7/VIEH7F2w==",
       "dev": true,
-      "dependencies": {
-        "lru-cache": "^6.0.0"
-      },
       "bin": {
         "semver": "bin/semver.js"
       },
@@ -3748,12 +3593,6 @@
         "node": ">=10"
       }
     },
-    "node_modules/jest-snapshot/node_modules/yallist": {
-      "version": "4.0.0",
-      "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz",
-      "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A==",
-      "dev": true
-    },
     "node_modules/jest-util": {
       "version": "29.7.0",
       "resolved": "https://registry.npmjs.org/jest-util/-/jest-util-29.7.0.tgz",
@@ -3964,26 +3803,11 @@
         "url": "https://github.com/sponsors/sindresorhus"
       }
     },
-    "node_modules/make-dir/node_modules/lru-cache": {
-      "version": "6.0.0",
-      "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-6.0.0.tgz",
-      "integrity": "sha512-Jo6dJ04CmSjuznwJSS3pUeWmd/H0ffTlkXXgwZi+eq1UCmqQwCh+eLsYOYCwY991i2Fah4h1BEMCx4qThGbsiA==",
-      "dev": true,
-      "dependencies": {
-        "yallist": "^4.0.0"
-      },
-      "engines": {
-        "node": ">=10"
-      }
-    },
     "node_modules/make-dir/node_modules/semver": {
-      "version": "7.5.4",
-      "resolved": "https://registry.npmjs.org/semver/-/semver-7.5.4.tgz",
-      "integrity": "sha512-1bCSESV6Pv+i21Hvpxp3Dx+pSD8lIPt8uVjRrxAUt/nbswYc+tK6Y2btiULjd4+fnq15PX+nqQDC7Oft7WkwcA==",
+      "version": "7.6.2",
+      "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.2.tgz",
+      "integrity": "sha512-FNAIBWCx9qcRhoHcgcJ0gvU7SN1lYU2ZXuSfl04bSC5OpvDHFyJCjdNHomPXxjQlCBU67YW64PzY7/VIEH7F2w==",
       "dev": true,
-      "dependencies": {
-        "lru-cache": "^6.0.0"
-      },
       "bin": {
         "semver": "bin/semver.js"
       },
@@ -3991,12 +3815,6 @@
         "node": ">=10"
       }
     },
-    "node_modules/make-dir/node_modules/yallist": {
-      "version": "4.0.0",
-      "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz",
-      "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A==",
-      "dev": true
-    },
     "node_modules/make-error": {
       "version": "1.3.6",
       "resolved": "https://registry.npmjs.org/make-error/-/make-error-1.3.6.tgz",
@@ -4071,9 +3889,9 @@
       "dev": true
     },
     "node_modules/node-releases": {
-      "version": "2.0.13",
-      "resolved": "https://registry.npmjs.org/node-releases/-/node-releases-2.0.13.tgz",
-      "integrity": "sha512-uYr7J37ae/ORWdZeQ1xxMJe3NtdmqMC/JZK+geofDrkLUApKRHPd18/TxtBOJ4A0/+uUIliorNrfYV6s1b02eQ==",
+      "version": "2.0.14",
+      "resolved": "https://registry.npmjs.org/node-releases/-/node-releases-2.0.14.tgz",
+      "integrity": "sha512-y10wOWt8yZpqXmOgRo77WaHEmhYQYGNA6y421PKsKYWEK8aW+cqAphborZDhqfyKrbZEN92CN1X2KbafY2s7Yw==",
       "dev": true
     },
     "node_modules/normalize-path": {
@@ -4224,9 +4042,9 @@
       "dev": true
     },
     "node_modules/picocolors": {
-      "version": "1.0.0",
-      "resolved": "https://registry.npmjs.org/picocolors/-/picocolors-1.0.0.tgz",
-      "integrity": "sha512-1fygroTLlHu66zi26VoTDv8yRgm0Fccecssto+MhsZ0D/DGW2sm8E8AjW7NU5VVTRt5GxbeZ5qBuJr+HyLYkjQ==",
+      "version": "1.0.1",
+      "resolved": "https://registry.npmjs.org/picocolors/-/picocolors-1.0.1.tgz",
+      "integrity": "sha512-anP1Z8qwhkbmu7MFP5iTt+wQKXgwzf7zTyGlcdzabySa9vd0Xt392U0rVmz9poOaBj0uHJKyyo9/upk0HrEQew==",
       "dev": true
     },
     "node_modules/picomatch": {
@@ -4302,9 +4120,9 @@
       }
     },
     "node_modules/pure-rand": {
-      "version": "6.0.4",
-      "resolved": "https://registry.npmjs.org/pure-rand/-/pure-rand-6.0.4.tgz",
-      "integrity": "sha512-LA0Y9kxMYv47GIPJy6MI84fqTd2HmYZI83W/kM/SkKfDlajnZYfmXFTxkbY+xSBPkLJxltMa9hIkmdc29eguMA==",
+      "version": "6.1.0",
+      "resolved": "https://registry.npmjs.org/pure-rand/-/pure-rand-6.1.0.tgz",
+      "integrity": "sha512-bVWawvoZoBYpp6yIoQtQXHZjmz35RSVHnUOTefl8Vcjr8snTPY1wnpSPMWekcFwbxI6gtmT7rSYPFvz71ldiOA==",
       "dev": true,
       "funding": [
         {
@@ -4318,9 +4136,9 @@
       ]
     },
     "node_modules/react-is": {
-      "version": "18.2.0",
-      "resolved": "https://registry.npmjs.org/react-is/-/react-is-18.2.0.tgz",
-      "integrity": "sha512-xWGDIW6x921xtzPkhiULtthJHoJvBbF3q26fzloPCK0hsvxtPVelvftw3zjbHWSkR2km9Z+4uxbDDK/6Zw9B8w==",
+      "version": "18.3.1",
+      "resolved": "https://registry.npmjs.org/react-is/-/react-is-18.3.1.tgz",
+      "integrity": "sha512-/LLMVyas0ljjAtoYiPqYiL8VWXzUUdThrmU5+n20DZv+a+ClRoevUzw5JxU+Ieh5/c87ytoTBV9G1FiKfNJdmg==",
       "dev": true
     },
     "node_modules/require-directory": {
@@ -4600,9 +4418,9 @@
       }
     },
     "node_modules/ts-jest": {
-      "version": "29.1.1",
-      "resolved": "https://registry.npmjs.org/ts-jest/-/ts-jest-29.1.1.tgz",
-      "integrity": "sha512-D6xjnnbP17cC85nliwGiL+tpoKN0StpgE0TeOjXQTU6MVCfsB4v7aW05CgQ/1OywGb0x/oy9hHFnN+sczTiRaA==",
+      "version": "29.1.2",
+      "resolved": "https://registry.npmjs.org/ts-jest/-/ts-jest-29.1.2.tgz",
+      "integrity": "sha512-br6GJoH/WUX4pu7FbZXuWGKGNDuU7b8Uj77g/Sp7puZV6EXzuByl6JrECvm0MzVzSTkSHWTihsXt+5XYER5b+g==",
       "dev": true,
       "dependencies": {
         "bs-logger": "0.x",
@@ -4618,7 +4436,7 @@
         "ts-jest": "cli.js"
       },
       "engines": {
-        "node": "^14.15.0 || ^16.10.0 || >=18.0.0"
+        "node": "^16.10.0 || ^18.0.0 || >=20.0.0"
       },
       "peerDependencies": {
         "@babel/core": ">=7.0.0-beta.0 <8",
@@ -4642,26 +4460,11 @@
         }
       }
     },
-    "node_modules/ts-jest/node_modules/lru-cache": {
-      "version": "6.0.0",
-      "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-6.0.0.tgz",
-      "integrity": "sha512-Jo6dJ04CmSjuznwJSS3pUeWmd/H0ffTlkXXgwZi+eq1UCmqQwCh+eLsYOYCwY991i2Fah4h1BEMCx4qThGbsiA==",
-      "dev": true,
-      "dependencies": {
-        "yallist": "^4.0.0"
-      },
-      "engines": {
-        "node": ">=10"
-      }
-    },
     "node_modules/ts-jest/node_modules/semver": {
-      "version": "7.5.4",
-      "resolved": "https://registry.npmjs.org/semver/-/semver-7.5.4.tgz",
-      "integrity": "sha512-1bCSESV6Pv+i21Hvpxp3Dx+pSD8lIPt8uVjRrxAUt/nbswYc+tK6Y2btiULjd4+fnq15PX+nqQDC7Oft7WkwcA==",
+      "version": "7.6.2",
+      "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.2.tgz",
+      "integrity": "sha512-FNAIBWCx9qcRhoHcgcJ0gvU7SN1lYU2ZXuSfl04bSC5OpvDHFyJCjdNHomPXxjQlCBU67YW64PzY7/VIEH7F2w==",
       "dev": true,
-      "dependencies": {
-        "lru-cache": "^6.0.0"
-      },
       "bin": {
         "semver": "bin/semver.js"
       },
@@ -4669,16 +4472,10 @@
         "node": ">=10"
       }
     },
-    "node_modules/ts-jest/node_modules/yallist": {
-      "version": "4.0.0",
-      "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz",
-      "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A==",
-      "dev": true
-    },
     "node_modules/ts-node": {
-      "version": "10.9.1",
-      "resolved": "https://registry.npmjs.org/ts-node/-/ts-node-10.9.1.tgz",
-      "integrity": "sha512-NtVysVPkxxrwFGUUxGYhfux8k78pQB3JqYBXlLRZgdGUqTO5wU/UyHop5p70iEbGhB7q5KmiZiU0Y3KlJrScEw==",
+      "version": "10.9.2",
+      "resolved": "https://registry.npmjs.org/ts-node/-/ts-node-10.9.2.tgz",
+      "integrity": "sha512-f0FFpIdcHgn8zcPSbf1dRevwt047YMnaiJM3u2w2RewrB+fob/zePZcrOyQoLMMO7aBIddLcQIEK5dYjkLnGrQ==",
       "dev": true,
       "dependencies": {
         "@cspotcode/source-map-support": "^0.8.0",
@@ -4740,9 +4537,9 @@
       }
     },
     "node_modules/typescript": {
-      "version": "5.1.6",
-      "resolved": "https://registry.npmjs.org/typescript/-/typescript-5.1.6.tgz",
-      "integrity": "sha512-zaWCozRZ6DLEWAWFrVDz1H6FVXzUSfTy5FUMWsQlU8Ym5JP9eO4xkTIROFCQvhQf61z6O/G6ugw3SgAnvvm+HA==",
+      "version": "5.4.5",
+      "resolved": "https://registry.npmjs.org/typescript/-/typescript-5.4.5.tgz",
+      "integrity": "sha512-vcI4UpRgg81oIRUFwR0WSIHKt11nJ7SAVlYNIu+QpqeyXP+gpQJy/Z4+F0aGxSE4MqwjyXvW/TzgkLAx2AGHwQ==",
       "dev": true,
       "bin": {
         "tsc": "bin/tsc",
@@ -4752,10 +4549,16 @@
         "node": ">=14.17"
       }
     },
+    "node_modules/undici-types": {
+      "version": "5.26.5",
+      "resolved": "https://registry.npmjs.org/undici-types/-/undici-types-5.26.5.tgz",
+      "integrity": "sha512-JlCMO+ehdEIKqlFxk6IfVoAUVmgz7cU7zD/h9XZ0qzeosSHmUJVOzSQvvYSYWXkFXC+IfLKSIffhv0sVZup6pA==",
+      "dev": true
+    },
     "node_modules/update-browserslist-db": {
-      "version": "1.0.13",
-      "resolved": "https://registry.npmjs.org/update-browserslist-db/-/update-browserslist-db-1.0.13.tgz",
-      "integrity": "sha512-xebP81SNcPuNpPP3uzeW1NYXxI3rxyJzF3pD6sH4jE7o/IX+WtSpwnVU+qIsDPyk0d3hmFQ7mjqc6AtV604hbg==",
+      "version": "1.0.16",
+      "resolved": "https://registry.npmjs.org/update-browserslist-db/-/update-browserslist-db-1.0.16.tgz",
+      "integrity": "sha512-KVbTxlBYlckhF5wgfyZXTWnMn7MMZjMu9XG8bPlliUOP9ThaF4QnhP8qrjrH7DRzHfSk0oQv1wToW+iA5GajEQ==",
       "dev": true,
       "funding": [
         {
@@ -4772,8 +4575,8 @@
         }
       ],
       "dependencies": {
-        "escalade": "^3.1.1",
-        "picocolors": "^1.0.0"
+        "escalade": "^3.1.2",
+        "picocolors": "^1.0.1"
       },
       "bin": {
         "update-browserslist-db": "cli.js"
@@ -4789,9 +4592,9 @@
       "dev": true
     },
     "node_modules/v8-to-istanbul": {
-      "version": "9.1.3",
-      "resolved": "https://registry.npmjs.org/v8-to-istanbul/-/v8-to-istanbul-9.1.3.tgz",
-      "integrity": "sha512-9lDD+EVI2fjFsMWXc6dy5JJzBsVTcQ2fVkfBvncZ6xJWG9wtBhOldG+mHkSL0+V1K/xgZz0JDO5UT5hFwHUghg==",
+      "version": "9.2.0",
+      "resolved": "https://registry.npmjs.org/v8-to-istanbul/-/v8-to-istanbul-9.2.0.tgz",
+      "integrity": "sha512-/EH/sDgxU2eGxajKdwLCDmQ4FWq+kpi3uCmBGpw1xJtnAxEjlD8j8PEiGWpCIMIs3ciNAgH0d3TTJiUkYzyZjA==",
       "dev": true,
       "dependencies": {
         "@jridgewell/trace-mapping": "^0.3.12",
diff --git a/scripts/aws/package.json b/scripts/aws/package.json
index c74884aea5f..29a02b756b1 100644
--- a/scripts/aws/package.json
+++ b/scripts/aws/package.json
@@ -11,21 +11,21 @@
     "cdk": "cdk"
   },
   "devDependencies": {
-    "@types/jest": "^29.5.1",
-    "@types/node": "20.1.7",
-    "aws-cdk": "^2.86.0",
-    "jest": "^29.5.0",
-    "ts-jest": "^29.1.0",
-    "ts-node": "^10.9.1",
-    "typescript": "~5.1.3"
+    "@types/jest": "^29.5.12",
+    "@types/node": "^20.12.12",
+    "aws-cdk": "^2.141.0",
+    "jest": "^29.7.0",
+    "ts-jest": "^29.1.2",
+    "ts-node": "^10.9.2",
+    "typescript": "^5.4.5"
   },
   "dependencies": {
-    "@aws-solutions-constructs/aws-cloudfront-s3": "^2.49.0",
-    "aws-cdk-lib": "^2.124.0",
-    "cdk-ecr-deployment": "^2.5.30",
-    "constructs": "^10.0.0",
-    "deploy-time-build": "^0.3.12",
-    "dotenv": "^16.3.1",
+    "@aws-solutions-constructs/aws-cloudfront-s3": "^2.57.0",
+    "aws-cdk-lib": "^2.141.0",
+    "cdk-ecr-deployment": "^3.0.55",
+    "constructs": "^10.3.0",
+    "deploy-time-build": "^0.3.21",
+    "dotenv": "^16.4.5",
     "source-map-support": "^0.5.21"
   }
 }
diff --git a/scripts/factory_restart_space.py b/scripts/factory_restart_space.py
new file mode 100644
index 00000000000..07a25d0de38
--- /dev/null
+++ b/scripts/factory_restart_space.py
@@ -0,0 +1,32 @@
+import argparse
+
+from huggingface_hub import HfApi, list_models
+from rich import print
+
+# Use root method
+models = list_models()
+
+args = argparse.ArgumentParser(description="Restart a space in the Hugging Face Hub.")
+args.add_argument("--space", type=str, help="The space to restart.")
+args.add_argument("--token", type=str, help="The Hugging Face API token.")
+
+parsed_args = args.parse_args()
+
+space = parsed_args.space
+
+if not space:
+    print("Please provide a space to restart.")
+    exit()
+
+if not parsed_args.token:
+    print("Please provide an API token.")
+    exit()
+
+# Or configure a HfApi client
+hf_api = HfApi(
+    endpoint="https://huggingface.co",  # Can be a Private Hub endpoint.
+    token=parsed_args.token,
+)
+
+space_runtime = hf_api.restart_space(space, factory_reboot=True)
+print(space_runtime)
diff --git a/scripts/gcp/GCP_DEPLOYMENT.md b/scripts/gcp/GCP_DEPLOYMENT.md
new file mode 100644
index 00000000000..a848d3d2bc2
--- /dev/null
+++ b/scripts/gcp/GCP_DEPLOYMENT.md
@@ -0,0 +1,29 @@
+# Run Langflow from a New Google Cloud Project
+
+This guide will help you set up a Langflow development VM in a Google Cloud Platform project using Google Cloud Shell.
+
+> **Note**: When Cloud Shell opens, be sure to select **Trust repo**. Some `gcloud` commands might not run in an ephemeral Cloud Shell environment.
+
+## Standard VM
+
+[![Open in Cloud Shell](https://gstatic.com/cloudssh/images/open-btn.svg)](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/langflow-ai/langflow&working_dir=scripts/gcp&shellonly=true&tutorial=walkthroughtutorial.md)
+
+This script sets up a Debian-based VM with the Langflow package, Nginx, and the necessary configurations to run the Langflow Dev environment.
+
+<hr>
+
+## Spot/Preemptible Instance
+
+[![Open in Cloud Shell - Spot Instance](https://gstatic.com/cloudssh/images/open-btn.svg)](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/langflow-ai/langflow&working_dir=scripts/gcp&shellonly=true&tutorial=walkthroughtutorial_spot.md)
+
+When running as a [spot (preemptible) instance](https://cloud.google.com/compute/docs/instances/preemptible), the code and VM will behave the same way as in a regular instance, executing the startup script to configure the environment, install necessary dependencies, and run the Langflow application. However, **due to the nature of spot instances, the VM may be terminated at any time if Google Cloud needs to reclaim the resources**. This makes spot instances suitable for fault-tolerant, stateless, or interruptible workloads that can handle unexpected terminations and restarts.
+
+## Pricing (approximate)
+
+> For a more accurate breakdown of costs, please use the [**GCP Pricing Calculator**](https://cloud.google.com/products/calculator) > <br>
+
+| Component          | Regular Cost (Hourly) | Regular Cost (Monthly) | Spot/Preemptible Cost (Hourly) | Spot/Preemptible Cost (Monthly) | Notes                                                                      |
+| ------------------ | --------------------- | ---------------------- | ------------------------------ | ------------------------------- | -------------------------------------------------------------------------- |
+| 100 GB Disk        | -                     | $10/month              | -                              | $10/month                       | Disk cost remains the same for both regular and Spot/Preemptible VMs       |
+| VM (n1-standard-4) | $0.15/hr              | ~$108/month            | ~$0.04/hr                      | ~$29/month                      | The VM cost can be significantly reduced using a Spot/Preemptible instance |
+| **Total**          | **$0.15/hr**          | **~$118/month**        | **~$0.04/hr**                  | **~$39/month**                  | Total costs for running the VM and disk 24/7 for an entire month           |
diff --git a/scripts/gcp/deploy_langflow_gcp.sh b/scripts/gcp/deploy_langflow_gcp.sh
index fbf87099a5c..cdb8e209f6d 100644
--- a/scripts/gcp/deploy_langflow_gcp.sh
+++ b/scripts/gcp/deploy_langflow_gcp.sh
@@ -35,7 +35,7 @@ fi
 # Create a firewall rule to allow IAP traffic
 firewall_iap_exists=$(gcloud compute firewall-rules list --filter="name=allow-iap" --format="value(name)")
 if [[ -z "$firewall_iap_exists" ]]; then
-    gcloud compute firewall-rules create allow-iap --network $VPC_NAME --allow tcp:80,tcp:443,tcp:22,:tcp:3389 --source-ranges 35.235.240.0/20 --direction INGRESS
+    gcloud compute firewall-rules create allow-iap --network $VPC_NAME --allow tcp:80,tcp:443,tcp:22,tcp:3389 --source-ranges 35.235.240.0/20 --direction INGRESS
 fi
 
 # Define the startup script as a multiline Bash here-doc
@@ -48,8 +48,10 @@ apt -y upgrade
 
 # Install Python 3 pip, Langflow, and Nginx
 apt -y install python3-pip
-pip install langflow
-langflow --host 0.0.0.0 --port 7860
+pip3 install pip -U
+apt -y update
+pip3 install langflow
+langflow run --host 0.0.0.0 --port 7860
 EOF
 )
 
diff --git a/scripts/setup/setup_env.sh b/scripts/setup/setup_env.sh
new file mode 100644
index 00000000000..70f58078441
--- /dev/null
+++ b/scripts/setup/setup_env.sh
@@ -0,0 +1,9 @@
+#!/bin/bash
+
+# Create a .env if it doesn't exist, log all cases
+if [ ! -f .env ]; then
+  echo "Creating .env file"
+  touch .env
+else
+  echo ".env file already exists"
+fi
\ No newline at end of file
diff --git a/scripts/setup/update_poetry.sh b/scripts/setup/update_poetry.sh
new file mode 100644
index 00000000000..a8825a116a0
--- /dev/null
+++ b/scripts/setup/update_poetry.sh
@@ -0,0 +1,66 @@
+#!/bin/bash
+
+# Check if version argument is provided
+if [ -z "$1" ]
+then
+    echo "No argument supplied. Please provide the Poetry version to check."
+    exit 1
+fi
+
+# Utility function to display an error message and exit
+exit_with_message() {
+    echo "$1" >&2
+    exit 1
+}
+
+# Check if version argument is provided
+if [ -z "$1" ]; then
+    exit_with_message "No argument supplied. Please provide the Poetry version to check."
+fi
+
+# Detect Operating System
+OS="$(uname -s)"
+case "$OS" in
+    Darwin)
+        OS="macOS"
+        ;;
+    Linux)
+        OS="Linux"
+        ;;
+    *)
+        exit_with_message "Unsupported operating system. This script supports macOS and Linux."
+        ;;
+esac
+
+
+echo "Checking Poetry installation..."
+
+# Check if Poetry is installed
+if ! command -v poetry &> /dev/null
+then
+    echo "Poetry is not installed. Installing..."
+    # Also install python 3.10 and use
+    curl -sSL https://install.python-poetry.org | python3 -
+    echo "Poetry installed successfully."
+else
+    echo "Poetry is already installed."
+fi
+
+echo "Checking Poetry version..."
+
+# Check Poetry version
+poetry_version=$(poetry --version | awk '{print $3}' | tr -d '()')
+echo "Current Poetry version: $poetry_version"
+
+# Compare version
+if [[ "$(printf '%s\n' "$1" "$poetry_version" | sort -V | head -n1)" != "$1" ]]; then
+    echo "Poetry version is lower than $1. Updating..."
+    # Update Poetry
+    poetry self update
+    echo "Poetry updated successfully."
+else
+    echo "Poetry version is $1 or higher. No need to update."
+fi
+
+
+
diff --git a/scripts/update_dependencies.py b/scripts/update_dependencies.py
new file mode 100644
index 00000000000..12a2b22a1a0
--- /dev/null
+++ b/scripts/update_dependencies.py
@@ -0,0 +1,62 @@
+import re
+from pathlib import Path
+
+
+def read_version_from_pyproject(file_path):
+    with open(file_path, "r") as file:
+        for line in file:
+            match = re.search(r'version = "(.*)"', line)
+            if match:
+                return match.group(1)
+    return None
+
+
+# def get_version_from_pypi(package_name):
+#     import requests
+
+#     response = requests.get(f"https://pypi.org/pypi/{package_name}/json")
+#     if response.ok:
+#         return response.json()["info"]["version"]
+#     return None
+
+
+def get_version_from_pypi(package_name):
+    # Use default python lib to make the GET for this because it runs in github actions
+    import json
+    import urllib.request
+
+    response = urllib.request.urlopen(f"https://pypi.org/pypi/{package_name}/json")
+    if response.getcode() == 200:
+        return json.loads(response.read())["info"]["version"]
+    return None
+
+
+def update_pyproject_dependency(pyproject_path, version):
+    pattern = re.compile(r'langflow-base = \{ path = "\./src/backend/base", develop = true \}')
+    replacement = f'langflow-base = "^{version}"'
+    with open(pyproject_path, "r") as file:
+        content = file.read()
+    content = pattern.sub(replacement, content)
+    with open(pyproject_path, "w") as file:
+        file.write(content)
+
+
+if __name__ == "__main__":
+    # Backing up files
+    pyproject_path = Path(__file__).resolve().parent / "../pyproject.toml"
+    pyproject_path = pyproject_path.resolve()
+    with open(pyproject_path, "r") as original, open(pyproject_path.with_name("pyproject.toml.bak"), "w") as backup:
+        backup.write(original.read())
+    # Now backup poetry.lock
+    with open(pyproject_path.with_name("poetry.lock"), "r") as original, open(
+        pyproject_path.with_name("poetry.lock.bak"), "w"
+    ) as backup:
+        backup.write(original.read())
+
+    # Reading version and updating pyproject.toml
+    langflow_base_path = Path(__file__).resolve().parent / "../src/backend/base/pyproject.toml"
+    version = read_version_from_pyproject(langflow_base_path)
+    if version:
+        update_pyproject_dependency(pyproject_path, version)
+    else:
+        print("Error: Version not found.")
diff --git a/src/backend/.gitignore b/src/backend/.gitignore
index 9af18a35ff3..ac0cc6c6dc7 100644
--- a/src/backend/.gitignore
+++ b/src/backend/.gitignore
@@ -131,3 +131,4 @@ dmypy.json
 
 # Pyre type checker
 .pyre/
+*.db
\ No newline at end of file
diff --git a/src/backend/Dockerfile b/src/backend/Dockerfile
index 8257d89b051..ba1f3c94611 100644
--- a/src/backend/Dockerfile
+++ b/src/backend/Dockerfile
@@ -1,4 +1,4 @@
-FROM logspace/backend_build as backend_build
+FROM langflowai/backend_build as backend_build
 
 FROM python:3.10-slim
 WORKDIR /app
diff --git a/src/backend/langflow/components/agents/__init__.py b/src/backend/base/README.md
similarity index 100%
rename from src/backend/langflow/components/agents/__init__.py
rename to src/backend/base/README.md
diff --git a/src/backend/base/langflow/__main__.py b/src/backend/base/langflow/__main__.py
new file mode 100644
index 00000000000..730d31ea7a4
--- /dev/null
+++ b/src/backend/base/langflow/__main__.py
@@ -0,0 +1,584 @@
+import platform
+import socket
+import sys
+import time
+import warnings
+from pathlib import Path
+from typing import Optional
+
+import click
+import httpx
+import typer
+from dotenv import load_dotenv
+from multiprocess import Process, cpu_count  # type: ignore
+from packaging import version as pkg_version
+from rich import box
+from rich import print as rprint
+from rich.console import Console
+from rich.panel import Panel
+from rich.table import Table
+from sqlmodel import select
+
+from langflow.main import setup_app
+from langflow.services.database.models.folder.utils import create_default_folder_if_it_doesnt_exist
+from langflow.services.database.utils import session_getter
+from langflow.services.deps import get_db_service, get_settings_service, session_scope
+from langflow.services.settings.constants import DEFAULT_SUPERUSER
+from langflow.services.utils import initialize_services
+from langflow.utils.logger import configure, logger
+from langflow.utils.util import update_settings
+
+console = Console()
+
+app = typer.Typer(no_args_is_help=True)
+
+
+def get_number_of_workers(workers=None):
+    if workers == -1 or workers is None:
+        workers = (cpu_count() * 2) + 1
+    logger.debug(f"Number of workers: {workers}")
+    return workers
+
+
+def display_results(results):
+    """
+    Display the results of the migration.
+    """
+    for table_results in results:
+        table = Table(title=f"Migration {table_results.table_name}")
+        table.add_column("Name")
+        table.add_column("Type")
+        table.add_column("Status")
+
+        for result in table_results.results:
+            status = "Success" if result.success else "Failure"
+            color = "green" if result.success else "red"
+            table.add_row(result.name, result.type, f"[{color}]{status}[/{color}]")
+
+        console.print(table)
+        console.print()  # Print a new line
+
+
+def set_var_for_macos_issue():
+    # OBJC_DISABLE_INITIALIZE_FORK_SAFETY=YES
+    # we need to set this var is we are running on MacOS
+    # otherwise we get an error when running gunicorn
+
+    if platform.system() in ["Darwin"]:
+        import os
+
+        os.environ["OBJC_DISABLE_INITIALIZE_FORK_SAFETY"] = "YES"
+        # https://stackoverflow.com/questions/75747888/uwsgi-segmentation-fault-with-flask-python-app-behind-nginx-after-running-for-2 # noqa
+        os.environ["no_proxy"] = "*"  # to avoid error with gunicorn
+        logger.debug("Set OBJC_DISABLE_INITIALIZE_FORK_SAFETY to YES to avoid error")
+
+
+@app.command()
+def run(
+    host: str = typer.Option("127.0.0.1", help="Host to bind the server to.", envvar="LANGFLOW_HOST"),
+    workers: int = typer.Option(1, help="Number of worker processes.", envvar="LANGFLOW_WORKERS"),
+    timeout: int = typer.Option(300, help="Worker timeout in seconds.", envvar="LANGFLOW_WORKER_TIMEOUT"),
+    port: int = typer.Option(7860, help="Port to listen on.", envvar="LANGFLOW_PORT"),
+    components_path: Optional[Path] = typer.Option(
+        Path(__file__).parent / "components",
+        help="Path to the directory containing custom components.",
+        envvar="LANGFLOW_COMPONENTS_PATH",
+    ),
+    # .env file param
+    env_file: Path = typer.Option(None, help="Path to the .env file containing environment variables."),
+    log_level: str = typer.Option("critical", help="Logging level.", envvar="LANGFLOW_LOG_LEVEL"),
+    log_file: Path = typer.Option("logs/langflow.log", help="Path to the log file.", envvar="LANGFLOW_LOG_FILE"),
+    cache: Optional[str] = typer.Option(
+        envvar="LANGFLOW_LANGCHAIN_CACHE",
+        help="Type of cache to use. (InMemoryCache, SQLiteCache)",
+        default=None,
+    ),
+    dev: bool = typer.Option(False, help="Run in development mode (may contain bugs)"),
+    path: str = typer.Option(
+        None,
+        help="Path to the frontend directory containing build files. This is for development purposes only.",
+        envvar="LANGFLOW_FRONTEND_PATH",
+    ),
+    open_browser: bool = typer.Option(
+        True,
+        help="Open the browser after starting the server.",
+        envvar="LANGFLOW_OPEN_BROWSER",
+    ),
+    remove_api_keys: bool = typer.Option(
+        False,
+        help="Remove API keys from the projects saved in the database.",
+        envvar="LANGFLOW_REMOVE_API_KEYS",
+    ),
+    backend_only: bool = typer.Option(
+        False,
+        help="Run only the backend server without the frontend.",
+        envvar="LANGFLOW_BACKEND_ONLY",
+    ),
+    store: bool = typer.Option(
+        True,
+        help="Enables the store features.",
+        envvar="LANGFLOW_STORE",
+    ),
+):
+    """
+    Run Langflow.
+    """
+
+    configure(log_level=log_level, log_file=log_file)
+    set_var_for_macos_issue()
+    # override env variables with .env file
+
+    if env_file:
+        load_dotenv(env_file, override=True)
+
+    update_settings(
+        dev=dev,
+        remove_api_keys=remove_api_keys,
+        cache=cache,
+        components_path=components_path,
+        store=store,
+    )
+    # create path object if path is provided
+    static_files_dir: Optional[Path] = Path(path) if path else None
+    settings_service = get_settings_service()
+    settings_service.set("backend_only", backend_only)
+    app = setup_app(static_files_dir=static_files_dir, backend_only=backend_only)
+    # check if port is being used
+    if is_port_in_use(port, host):
+        port = get_free_port(port)
+
+    settings_service.set("worker_timeout", timeout)
+
+    options = {
+        "bind": f"{host}:{port}",
+        "workers": get_number_of_workers(workers),
+        "timeout": timeout,
+    }
+
+    # Define an env variable to know if we are just testing the server
+    if "pytest" in sys.modules:
+        return
+    try:
+        if platform.system() in ["Windows"]:
+            # Run using uvicorn on MacOS and Windows
+            # Windows doesn't support gunicorn
+            # MacOS requires an env variable to be set to use gunicorn
+            process = run_on_windows(host, port, log_level, options, app)
+        else:
+            # Run using gunicorn on Linux
+            process = run_on_mac_or_linux(host, port, log_level, options, app)
+        if open_browser and not backend_only:
+            click.launch(f"http://{host}:{port}")
+        if process:
+            process.join()
+    except KeyboardInterrupt:
+        pass
+
+
+def wait_for_server_ready(host, port):
+    """
+    Wait for the server to become ready by polling the health endpoint.
+    """
+    status_code = 0
+    while status_code != 200:
+        try:
+            status_code = httpx.get(f"http://{host}:{port}/health").status_code
+        except Exception:
+            time.sleep(1)
+
+
+def run_on_mac_or_linux(host, port, log_level, options, app):
+    webapp_process = Process(target=run_langflow, args=(host, port, log_level, options, app))
+    webapp_process.start()
+    wait_for_server_ready(host, port)
+
+    print_banner(host, port)
+    return webapp_process
+
+
+def run_on_windows(host, port, log_level, options, app):
+    """
+    Run the Langflow server on Windows.
+    """
+    print_banner(host, port)
+    run_langflow(host, port, log_level, options, app)
+    return None
+
+
+def is_port_in_use(port, host="localhost"):
+    """
+    Check if a port is in use.
+
+    Args:
+        port (int): The port number to check.
+        host (str): The host to check the port on. Defaults to 'localhost'.
+
+    Returns:
+        bool: True if the port is in use, False otherwise.
+    """
+    with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
+        return s.connect_ex((host, port)) == 0
+
+
+def get_free_port(port):
+    """
+    Given a used port, find a free port.
+
+    Args:
+        port (int): The port number to check.
+
+    Returns:
+        int: A free port number.
+    """
+    while is_port_in_use(port):
+        port += 1
+    return port
+
+
+def version_is_prerelease(version: str):
+    """
+    Check if a version is a pre-release version.
+    """
+    return "a" in version or "b" in version or "rc" in version
+
+
+def get_letter_from_version(version: str):
+    """
+    Get the letter from a pre-release version.
+    """
+    if "a" in version:
+        return "a"
+    if "b" in version:
+        return "b"
+    if "rc" in version:
+        return "rc"
+    return None
+
+
+def build_new_version_notice(current_version: str, package_name: str):
+    """
+    Build a new version notice.
+    """
+    # The idea here is that we want to show a notice to the user
+    # when a new version of Langflow is available.
+    # The key is that if the version the user has is a pre-release
+    # e.g 0.0.0a1, then we find the latest version that is pre-release
+    # otherwise we find the latest stable version.
+    # we will show the notice either way, but only if the version
+    # the user has is not the latest version.
+    if version_is_prerelease(current_version):
+        # curl -s "https://pypi.org/pypi/langflow/json" | jq -r '.releases | keys | .[]' | sort -V | tail -n 1
+        # this command will give us the latest pre-release version
+        package_info = httpx.get(f"https://pypi.org/pypi/{package_name}/json").json()
+        # 4.0.0a1 or 4.0.0b1 or 4.0.0rc1
+        # find which type of pre-release version we have
+        # could be a1, b1, rc1
+        # we want the a, b, or rc and the number
+        suffix_letter = get_letter_from_version(current_version)
+        number_version = current_version.split(suffix_letter)[0]
+        latest_version = sorted(
+            package_info["releases"].keys(),
+            key=lambda x: x.split(suffix_letter)[-1] and number_version in x,
+        )[-1]
+        if version_is_prerelease(latest_version) and latest_version != current_version:
+            return (
+                True,
+                f"A new pre-release version of {package_name} is available: {latest_version}",
+            )
+    else:
+        latest_version = httpx.get(f"https://pypi.org/pypi/{package_name}/json").json()["info"]["version"]
+        if not version_is_prerelease(latest_version):
+            return (
+                False,
+                f"A new version of {package_name} is available: {latest_version}",
+            )
+    return False, ""
+
+
+def is_prerelease(version: str) -> bool:
+    return "a" in version or "b" in version or "rc" in version
+
+
+def fetch_latest_version(package_name: str, include_prerelease: bool) -> Optional[str]:
+    response = httpx.get(f"https://pypi.org/pypi/{package_name}/json")
+    versions = response.json()["releases"].keys()
+    valid_versions = [v for v in versions if include_prerelease or not is_prerelease(v)]
+    if not valid_versions:
+        return None  # Handle case where no valid versions are found
+    return max(valid_versions, key=lambda v: pkg_version.parse(v))
+
+
+def build_version_notice(current_version: str, package_name: str) -> str:
+    latest_version = fetch_latest_version(package_name, is_prerelease(current_version))
+    if latest_version and pkg_version.parse(current_version) < pkg_version.parse(latest_version):
+        release_type = "pre-release" if is_prerelease(latest_version) else "version"
+        return f"A new {release_type} of {package_name} is available: {latest_version}"
+    return ""
+
+
+def generate_pip_command(package_names, is_pre_release):
+    """
+    Generate the pip install command based on the packages and whether it's a pre-release.
+    """
+    base_command = "pip install"
+    if is_pre_release:
+        return f"{base_command} {' '.join(package_names)} -U --pre"
+    else:
+        return f"{base_command} {' '.join(package_names)} -U"
+
+
+def stylize_text(text: str, to_style: str, is_prerelease: bool) -> str:
+    color = "#42a7f5" if is_prerelease else "#6e42f5"
+    # return "".join(f"[{color}]{char}[/]" for char in text)
+    styled_text = f"[{color}]{to_style}[/]"
+    return text.replace(to_style, styled_text)
+
+
+def print_banner(host: str, port: int):
+    notices = []
+    package_names = []  # Track package names for pip install instructions
+    is_pre_release = False  # Track if any package is a pre-release
+    package_name = ""
+
+    try:
+        from langflow.version import __version__ as langflow_version  # type: ignore
+
+        is_pre_release |= is_prerelease(langflow_version)  # Update pre-release status
+        notice = build_version_notice(langflow_version, "langflow")
+        notice = stylize_text(notice, "langflow", is_pre_release)
+        if notice:
+            notices.append(notice)
+        package_names.append("langflow")
+        package_name = "Langflow"
+    except ImportError:
+        langflow_version = None
+
+    # Attempt to handle langflow-base similarly
+    if langflow_version is None:  # This means langflow.version was not imported
+        try:
+            from importlib import metadata
+
+            langflow_base_version = metadata.version("langflow-base")
+            is_pre_release |= is_prerelease(langflow_base_version)  # Update pre-release status
+            notice = build_version_notice(langflow_base_version, "langflow-base")
+            notice = stylize_text(notice, "langflow-base", is_pre_release)
+            if notice:
+                notices.append(notice)
+            package_names.append("langflow-base")
+            package_name = "Langflow Base"
+        except ImportError as e:
+            logger.exception(e)
+            raise e
+
+    # Generate pip command based on the collected data
+    pip_command = generate_pip_command(package_names, is_pre_release)
+
+    # Add pip install command to notices if any package needs an update
+    if notices:
+        notices.append(f"Run '{pip_command}' to update.")
+
+    styled_notices = [f"[bold]{notice}[/bold]" for notice in notices if notice]
+    styled_package_name = stylize_text(package_name, package_name, any("pre-release" in notice for notice in notices))
+
+    title = f"[bold]Welcome to :chains: {styled_package_name}[/bold]\n"
+    info_text = "Collaborate, and contribute at our [bold][link=https://github.com/langflow-ai/langflow]GitHub Repo[/link][/bold] :star2:"
+    telemetry_text = "We collect anonymous usage data to improve Langflow.\nYou can opt-out by setting [bold]DO_NOT_TRACK=true[/bold] in your environment."
+    access_link = f"Access [link=http://{host}:{port}]http://{host}:{port}[/link]"
+
+    panel_content = "\n\n".join([title, *styled_notices, info_text, telemetry_text, access_link])
+    panel = Panel(panel_content, box=box.ROUNDED, border_style="blue", expand=False)
+    rprint(panel)
+
+
+def run_langflow(host, port, log_level, options, app):
+    """
+    Run Langflow server on localhost
+    """
+    try:
+        if platform.system() in ["Windows"]:
+            # Run using uvicorn on MacOS and Windows
+            # Windows doesn't support gunicorn
+            # MacOS requires an env variable to be set to use gunicorn
+            import uvicorn
+
+            uvicorn.run(
+                app,
+                host=host,
+                port=port,
+                log_level=log_level.lower(),
+                loop="asyncio",
+            )
+        else:
+            from langflow.server import LangflowApplication
+
+            LangflowApplication(app, options).run()
+    except KeyboardInterrupt:
+        pass
+    except Exception as e:
+        logger.exception(e)
+        sys.exit(1)
+
+
+@app.command()
+def superuser(
+    username: str = typer.Option(..., prompt=True, help="Username for the superuser."),
+    password: str = typer.Option(..., prompt=True, hide_input=True, help="Password for the superuser."),
+    log_level: str = typer.Option("error", help="Logging level.", envvar="LANGFLOW_LOG_LEVEL"),
+):
+    """
+    Create a superuser.
+    """
+    configure(log_level=log_level)
+    initialize_services()
+    db_service = get_db_service()
+    with session_getter(db_service) as session:
+        from langflow.services.auth.utils import create_super_user
+
+        if create_super_user(db=session, username=username, password=password):
+            # Verify that the superuser was created
+            from langflow.services.database.models.user.model import User
+
+            user: User = session.exec(select(User).where(User.username == username)).first()
+            if user is None or not user.is_superuser:
+                typer.echo("Superuser creation failed.")
+                return
+            # Now create the first folder for the user
+            result = create_default_folder_if_it_doesnt_exist(session, user.id)
+            if result:
+                typer.echo("Default folder created successfully.")
+            else:
+                raise RuntimeError("Could not create default folder.")
+            typer.echo("Superuser created successfully.")
+
+        else:
+            typer.echo("Superuser creation failed.")
+
+
+# command to copy the langflow database from the cache to the current directory
+# because now the database is stored per installation
+@app.command()
+def copy_db():
+    """
+    Copy the database files to the current directory.
+
+    This function copies the 'langflow.db' and 'langflow-pre.db' files from the cache directory to the current directory.
+    If the files exist in the cache directory, they will be copied to the same directory as this script (__main__.py).
+
+    Returns:
+        None
+    """
+    import shutil
+
+    from platformdirs import user_cache_dir
+
+    cache_dir = Path(user_cache_dir("langflow"))
+    db_path = cache_dir / "langflow.db"
+    pre_db_path = cache_dir / "langflow-pre.db"
+    # It should be copied to the current directory
+    # this file is __main__.py and it should be in the same directory as the database
+    destination_folder = Path(__file__).parent
+    if db_path.exists():
+        shutil.copy(db_path, destination_folder)
+        typer.echo(f"Database copied to {destination_folder}")
+    else:
+        typer.echo("Database not found in the cache directory.")
+    if pre_db_path.exists():
+        shutil.copy(pre_db_path, destination_folder)
+        typer.echo(f"Pre-release database copied to {destination_folder}")
+    else:
+        typer.echo("Pre-release database not found in the cache directory.")
+
+
+@app.command()
+def migration(
+    test: bool = typer.Option(True, help="Run migrations in test mode."),
+    fix: bool = typer.Option(
+        False,
+        help="Fix migrations. This is a destructive operation, and should only be used if you know what you are doing.",
+    ),
+):
+    """
+    Run or test migrations.
+    """
+    if fix:
+        if not typer.confirm(
+            "This will delete all data necessary to fix migrations. Are you sure you want to continue?"
+        ):
+            raise typer.Abort()
+
+    initialize_services(fix_migration=fix)
+    db_service = get_db_service()
+    if not test:
+        db_service.run_migrations()
+    results = db_service.run_migrations_test()
+    display_results(results)
+
+
+@app.command()
+def api_key(
+    log_level: str = typer.Option("error", help="Logging level.", envvar="LANGFLOW_LOG_LEVEL"),
+):
+    """
+    Creates an API key for the default superuser if AUTO_LOGIN is enabled.
+
+    Args:
+        log_level (str, optional): Logging level. Defaults to "error".
+
+    Returns:
+        None
+    """
+    configure(log_level=log_level)
+    initialize_services()
+    settings_service = get_settings_service()
+    auth_settings = settings_service.auth_settings
+    if not auth_settings.AUTO_LOGIN:
+        typer.echo("Auto login is disabled. API keys cannot be created through the CLI.")
+        return
+    with session_scope() as session:
+        from langflow.services.database.models.user.model import User
+
+        superuser = session.exec(select(User).where(User.username == DEFAULT_SUPERUSER)).first()
+        if not superuser:
+            typer.echo("Default superuser not found. This command requires a superuser and AUTO_LOGIN to be enabled.")
+            return
+        from langflow.services.database.models.api_key import ApiKey, ApiKeyCreate
+        from langflow.services.database.models.api_key.crud import create_api_key, delete_api_key
+
+        api_key = session.exec(select(ApiKey).where(ApiKey.user_id == superuser.id)).first()
+        if api_key:
+            delete_api_key(session, api_key.id)
+
+        api_key_create = ApiKeyCreate(name="CLI")
+        unmasked_api_key = create_api_key(session, api_key_create, user_id=superuser.id)
+        session.commit()
+        # Create a banner to display the API key and tell the user it won't be shown again
+        api_key_banner(unmasked_api_key)
+
+
+def api_key_banner(unmasked_api_key):
+    is_mac = platform.system() == "Darwin"
+    import pyperclip  # type: ignore
+
+    pyperclip.copy(unmasked_api_key.api_key)
+    panel = Panel(
+        f"[bold]API Key Created Successfully:[/bold]\n\n"
+        f"[bold blue]{unmasked_api_key.api_key}[/bold blue]\n\n"
+        "This is the only time the API key will be displayed. \n"
+        "Make sure to store it in a secure location. \n\n"
+        f"The API key has been copied to your clipboard. [bold]{['Ctrl','Cmd'][is_mac]} + V[/bold] to paste it.",
+        box=box.ROUNDED,
+        border_style="blue",
+        expand=False,
+    )
+    console = Console()
+    console.print(panel)
+
+
+def main():
+    with warnings.catch_warnings():
+        warnings.simplefilter("ignore")
+        app()
+
+
+if __name__ == "__main__":
+    main()
diff --git a/src/backend/langflow/alembic.ini b/src/backend/base/langflow/alembic.ini
similarity index 100%
rename from src/backend/langflow/alembic.ini
rename to src/backend/base/langflow/alembic.ini
diff --git a/src/backend/langflow/alembic/README b/src/backend/base/langflow/alembic/README
similarity index 100%
rename from src/backend/langflow/alembic/README
rename to src/backend/base/langflow/alembic/README
diff --git a/src/backend/base/langflow/alembic/env.py b/src/backend/base/langflow/alembic/env.py
new file mode 100644
index 00000000000..7400906c85b
--- /dev/null
+++ b/src/backend/base/langflow/alembic/env.py
@@ -0,0 +1,97 @@
+import os
+import warnings
+from logging.config import fileConfig
+
+from alembic import context
+from loguru import logger
+from sqlalchemy import engine_from_config, pool
+
+from langflow.services.database.models import *  # noqa
+from langflow.services.database.service import SQLModel
+
+# this is the Alembic Config object, which provides
+# access to the values within the .ini file in use.
+config = context.config
+
+# Interpret the config file for Python logging.
+# This line sets up loggers basically.
+if config.config_file_name is not None:
+    fileConfig(config.config_file_name)
+
+# add your model's MetaData object here
+# for 'autogenerate' support
+# from myapp import mymodel
+# target_metadata = mymodel.Base.metadata
+target_metadata = SQLModel.metadata
+
+# other values from the config, defined by the needs of env.py,
+# can be acquired:
+# my_important_option = config.get_main_option("my_important_option")
+# ... etc.
+
+
+def run_migrations_offline() -> None:
+    """Run migrations in 'offline' mode.
+
+    This configures the context with just a URL
+    and not an Engine, though an Engine is acceptable
+    here as well.  By skipping the Engine creation
+    we don't even need a DBAPI to be available.
+
+    Calls to context.execute() here emit the given string to the
+    script output.
+
+    """
+    url = os.getenv("LANGFLOW_DATABASE_URL")
+    url = url or config.get_main_option("sqlalchemy.url")
+    context.configure(
+        url=url,
+        target_metadata=target_metadata,
+        literal_binds=True,
+        dialect_opts={"paramstyle": "named"},
+        render_as_batch=True,
+    )
+
+    with context.begin_transaction():
+        context.run_migrations()
+
+
+def run_migrations_online() -> None:
+    """Run migrations in 'online' mode.
+
+    In this scenario we need to create an Engine
+    and associate a connection with the context.
+
+    """
+
+    try:
+        from langflow.services.database.factory import DatabaseServiceFactory
+        from langflow.services.deps import get_db_service
+        from langflow.services.manager import initialize_settings_service, service_manager
+
+        initialize_settings_service()
+        service_manager.register_factory(DatabaseServiceFactory())
+        connectable = get_db_service().engine
+    except Exception as e:
+        logger.error(f"Error getting database engine: {e}")
+        url = os.getenv("LANGFLOW_DATABASE_URL")
+        url = url or config.get_main_option("sqlalchemy.url")
+        if url:
+            config.set_main_option("sqlalchemy.url", url)
+        connectable = engine_from_config(
+            config.get_section(config.config_ini_section, {}),
+            prefix="sqlalchemy.",
+            poolclass=pool.NullPool,
+        )
+    with warnings.catch_warnings():
+        warnings.simplefilter("ignore")
+        with connectable.connect() as connection:
+            context.configure(connection=connection, target_metadata=target_metadata, render_as_batch=True)
+            with context.begin_transaction():
+                context.run_migrations()
+
+
+if context.is_offline_mode():
+    run_migrations_offline()
+else:
+    run_migrations_online()
diff --git a/src/backend/langflow/alembic/script.py.mako b/src/backend/base/langflow/alembic/script.py.mako
similarity index 83%
rename from src/backend/langflow/alembic/script.py.mako
rename to src/backend/base/langflow/alembic/script.py.mako
index 59f3ae7e47f..6086a860cd8 100644
--- a/src/backend/langflow/alembic/script.py.mako
+++ b/src/backend/base/langflow/alembic/script.py.mako
@@ -11,7 +11,7 @@ from alembic import op
 import sqlalchemy as sa
 import sqlmodel
 from sqlalchemy.engine.reflection import Inspector
-from loguru import logger #noqa
+from langflow.utils import migration
 ${imports if imports else ""}
 
 # revision identifiers, used by Alembic.
@@ -23,11 +23,9 @@ depends_on: Union[str, Sequence[str], None] = ${repr(depends_on)}
 
 def upgrade() -> None:
     conn = op.get_bind()
-    inspector = Inspector.from_engine(conn)  # type: ignore
     ${upgrades if upgrades else "pass"}
 
 
 def downgrade() -> None:
     conn = op.get_bind()
-    inspector = Inspector.from_engine(conn)  # type: ignore
     ${downgrades if downgrades else "pass"}
diff --git a/src/backend/langflow/alembic/versions/006b3990db50_add_unique_constraints.py b/src/backend/base/langflow/alembic/versions/006b3990db50_add_unique_constraints.py
similarity index 93%
rename from src/backend/langflow/alembic/versions/006b3990db50_add_unique_constraints.py
rename to src/backend/base/langflow/alembic/versions/006b3990db50_add_unique_constraints.py
index 68b76516077..df59c4e9f45 100644
--- a/src/backend/langflow/alembic/versions/006b3990db50_add_unique_constraints.py
+++ b/src/backend/base/langflow/alembic/versions/006b3990db50_add_unique_constraints.py
@@ -26,9 +26,8 @@ def upgrade() -> None:
     flow_constraints = inspector.get_unique_constraints("flow")
     user_constraints = inspector.get_unique_constraints("user")
     try:
-        if not any(constraint['column_names'] == ['id'] for constraint in api_key_constraints):
+        if not any(constraint["column_names"] == ["id"] for constraint in api_key_constraints):
             with op.batch_alter_table("apikey", schema=None) as batch_op:
-
                 batch_op.create_unique_constraint("uq_apikey_id", ["id"])
         if not any(constraint["column_names"] == ["id"] for constraint in flow_constraints):
             with op.batch_alter_table("flow", schema=None) as batch_op:
@@ -51,16 +50,13 @@ def downgrade() -> None:
     flow_constraints = inspector.get_unique_constraints("flow")
     user_constraints = inspector.get_unique_constraints("user")
     try:
-        if any(
-            constraint["name"] == "uq_apikey_id" for constraint in api_key_constraints
-        ):
+        if any(constraint["name"] == "uq_apikey_id" for constraint in api_key_constraints):
             with op.batch_alter_table("user", schema=None) as batch_op:
                 batch_op.drop_constraint("uq_user_id", type_="unique")
         if any(constraint["name"] == "uq_flow_id" for constraint in flow_constraints):
             with op.batch_alter_table("flow", schema=None) as batch_op:
                 batch_op.drop_constraint("uq_flow_id", type_="unique")
         if any(constraint["name"] == "uq_user_id" for constraint in user_constraints):
-
             with op.batch_alter_table("apikey", schema=None) as batch_op:
                 batch_op.drop_constraint("uq_apikey_id", type_="unique")
     except Exception as e:
diff --git a/src/backend/base/langflow/alembic/versions/012fb73ac359_add_folder_table.py b/src/backend/base/langflow/alembic/versions/012fb73ac359_add_folder_table.py
new file mode 100644
index 00000000000..a9b9b6c0007
--- /dev/null
+++ b/src/backend/base/langflow/alembic/versions/012fb73ac359_add_folder_table.py
@@ -0,0 +1,82 @@
+"""Add Folder table
+
+Revision ID: 012fb73ac359
+Revises: c153816fd85f
+Create Date: 2024-05-07 12:52:16.954691
+
+"""
+
+from typing import Sequence, Union
+
+import sqlalchemy as sa
+import sqlmodel
+from alembic import op
+from sqlalchemy.engine.reflection import Inspector
+
+# revision identifiers, used by Alembic.
+revision: str = "012fb73ac359"
+down_revision: Union[str, None] = "c153816fd85f"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    table_names = inspector.get_table_names()
+    # ### commands auto generated by Alembic - please adjust! ###
+    if "folder" not in table_names:
+        op.create_table(
+            "folder",
+            sa.Column("name", sqlmodel.sql.sqltypes.AutoString(), nullable=False),
+            sa.Column("description", sqlmodel.sql.sqltypes.AutoString(), nullable=True),
+            sa.Column("id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
+            sa.Column("parent_id", sqlmodel.sql.sqltypes.GUID(), nullable=True),
+            sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=True),
+            sa.ForeignKeyConstraint(
+                ["parent_id"],
+                ["folder.id"],
+            ),
+            sa.ForeignKeyConstraint(
+                ["user_id"],
+                ["user.id"],
+            ),
+            sa.PrimaryKeyConstraint("id"),
+        )
+    indexes = inspector.get_indexes("folder")
+    if "ix_folder_name" not in [index["name"] for index in indexes]:
+        with op.batch_alter_table("folder", schema=None) as batch_op:
+            batch_op.create_index(batch_op.f("ix_folder_name"), ["name"], unique=False)
+
+    column_names = [column["name"] for column in inspector.get_columns("flow")]
+    with op.batch_alter_table("flow", schema=None) as batch_op:
+        if "folder_id" not in column_names:
+            batch_op.add_column(sa.Column("folder_id", sqlmodel.sql.sqltypes.GUID(), nullable=True))
+            batch_op.create_foreign_key("flow_folder_id_fkey", "folder", ["folder_id"], ["id"])
+        if "folder" in column_names:
+            batch_op.drop_column("folder")
+
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    table_names = inspector.get_table_names()
+    # ### commands auto generated by Alembic - please adjust! ###
+    column_names = [column["name"] for column in inspector.get_columns("flow")]
+    with op.batch_alter_table("flow", schema=None) as batch_op:
+        if "folder" not in column_names:
+            batch_op.add_column(sa.Column("folder", sa.VARCHAR(), nullable=True))
+        if "folder_id" in column_names:
+            batch_op.drop_column("folder_id")
+            batch_op.drop_constraint("flow_folder_id_fkey", type_="foreignkey")
+
+    indexes = inspector.get_indexes("folder")
+    if "ix_folder_name" in [index["name"] for index in indexes]:
+        with op.batch_alter_table("folder", schema=None) as batch_op:
+            batch_op.drop_index(batch_op.f("ix_folder_name"))
+
+    if "folder" in table_names:
+        op.drop_table("folder")
+    # ### end Alembic commands ###
diff --git a/src/backend/langflow/alembic/versions/0b8757876a7c_.py b/src/backend/base/langflow/alembic/versions/0b8757876a7c_.py
similarity index 100%
rename from src/backend/langflow/alembic/versions/0b8757876a7c_.py
rename to src/backend/base/langflow/alembic/versions/0b8757876a7c_.py
diff --git a/src/backend/base/langflow/alembic/versions/1a110b568907_replace_credential_table_with_variable.py b/src/backend/base/langflow/alembic/versions/1a110b568907_replace_credential_table_with_variable.py
new file mode 100644
index 00000000000..48d12ac30a0
--- /dev/null
+++ b/src/backend/base/langflow/alembic/versions/1a110b568907_replace_credential_table_with_variable.py
@@ -0,0 +1,66 @@
+"""Replace Credential table with Variable
+
+Revision ID: 1a110b568907
+Revises: 63b9c451fd30
+Create Date: 2024-03-25 09:40:02.743453
+
+"""
+
+from typing import Sequence, Union
+
+import sqlalchemy as sa
+import sqlmodel
+from alembic import op
+from sqlalchemy.engine.reflection import Inspector
+
+# revision identifiers, used by Alembic.
+revision: str = "1a110b568907"
+down_revision: Union[str, None] = "63b9c451fd30"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    table_names = inspector.get_table_names()
+    # ### commands auto generated by Alembic - please adjust! ###
+    if "variable" not in table_names:
+        op.create_table(
+            "variable",
+            sa.Column("name", sqlmodel.sql.sqltypes.AutoString(), nullable=True),
+            sa.Column("value", sqlmodel.sql.sqltypes.AutoString(), nullable=True),
+            sa.Column("type", sqlmodel.sql.sqltypes.AutoString(), nullable=True),
+            sa.Column("id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
+            sa.Column("created_at", sa.DateTime(), nullable=False),
+            sa.Column("updated_at", sa.DateTime(), nullable=True),
+            sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
+            sa.ForeignKeyConstraint(["user_id"], ["user.id"], name="fk_variable_user_id"),
+            sa.PrimaryKeyConstraint("id"),
+        )
+    if "credential" in table_names:
+        op.drop_table("credential")
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    table_names = inspector.get_table_names()
+    # ### commands auto generated by Alembic - please adjust! ###
+    if "credential" not in table_names:
+        op.create_table(
+            "credential",
+            sa.Column("name", sa.VARCHAR(), nullable=True),
+            sa.Column("value", sa.VARCHAR(), nullable=True),
+            sa.Column("provider", sa.VARCHAR(), nullable=True),
+            sa.Column("user_id", sa.CHAR(length=32), nullable=False),
+            sa.Column("id", sa.CHAR(length=32), nullable=False),
+            sa.Column("created_at", sa.DATETIME(), nullable=False),
+            sa.Column("updated_at", sa.DATETIME(), nullable=True),
+            sa.ForeignKeyConstraint(["user_id"], ["user.id"], name="fk_credential_user_id"),
+            sa.PrimaryKeyConstraint("id"),
+        )
+    if "variable" in table_names:
+        op.drop_table("variable")
+    # ### end Alembic commands ###
diff --git a/src/backend/base/langflow/alembic/versions/1c79524817ed_add_unique_constraints_per_user_in_.py b/src/backend/base/langflow/alembic/versions/1c79524817ed_add_unique_constraints_per_user_in_.py
new file mode 100644
index 00000000000..0feec1b8b5d
--- /dev/null
+++ b/src/backend/base/langflow/alembic/versions/1c79524817ed_add_unique_constraints_per_user_in_.py
@@ -0,0 +1,42 @@
+"""Add unique constraints per user in folder table
+
+Revision ID: 1c79524817ed
+Revises: 3bb0ddf32dfb
+Create Date: 2024-05-29 23:12:09.146880
+
+"""
+
+from typing import Sequence, Union
+
+from alembic import op
+from sqlalchemy.engine.reflection import Inspector
+
+# revision identifiers, used by Alembic.
+revision: str = "1c79524817ed"
+down_revision: Union[str, None] = "3bb0ddf32dfb"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    constraints_names = [constraint["name"] for constraint in inspector.get_unique_constraints("folder")]
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table("folder", schema=None) as batch_op:
+        if "unique_folder_name" not in constraints_names:
+            batch_op.create_unique_constraint("unique_folder_name", ["user_id", "name"])
+
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    constraints_names = [constraint["name"] for constraint in inspector.get_unique_constraints("folder")]
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table("folder", schema=None) as batch_op:
+        if "unique_folder_name" in constraints_names:
+            batch_op.drop_constraint("unique_folder_name", type_="unique")
+
+    # ### end Alembic commands ###
diff --git a/src/backend/langflow/alembic/versions/1ef9c4f3765d_.py b/src/backend/base/langflow/alembic/versions/1ef9c4f3765d_.py
similarity index 75%
rename from src/backend/langflow/alembic/versions/1ef9c4f3765d_.py
rename to src/backend/base/langflow/alembic/versions/1ef9c4f3765d_.py
index 3ef39ee7d59..db78e33bdb9 100644
--- a/src/backend/langflow/alembic/versions/1ef9c4f3765d_.py
+++ b/src/backend/base/langflow/alembic/versions/1ef9c4f3765d_.py
@@ -24,11 +24,8 @@ def upgrade() -> None:
     # ### commands auto generated by Alembic - please adjust! ###
     try:
         with op.batch_alter_table("apikey", schema=None) as batch_op:
-            batch_op.alter_column(
-                "name", existing_type=sqlmodel.sql.sqltypes.AutoString(), nullable=True
-            )
-    except Exception as e:
-        logger.exception(f"Error during upgrade: {e}")
+            batch_op.alter_column("name", existing_type=sqlmodel.sql.sqltypes.AutoString(), nullable=True)
+    except Exception:
         pass
     # ### end Alembic commands ###
 
@@ -38,7 +35,6 @@ def downgrade() -> None:
     try:
         with op.batch_alter_table("apikey", schema=None) as batch_op:
             batch_op.alter_column("name", existing_type=sa.VARCHAR(), nullable=False)
-    except Exception as e:
-        logger.exception(f"Error during upgrade: {e}")
+    except Exception:
         pass
     # ### end Alembic commands ###
diff --git a/src/backend/base/langflow/alembic/versions/1f4d6df60295_add_default_fields_column.py b/src/backend/base/langflow/alembic/versions/1f4d6df60295_add_default_fields_column.py
new file mode 100644
index 00000000000..e47d68702d8
--- /dev/null
+++ b/src/backend/base/langflow/alembic/versions/1f4d6df60295_add_default_fields_column.py
@@ -0,0 +1,43 @@
+"""Add default_fields column
+
+Revision ID: 1f4d6df60295
+Revises: 6e7b581b5648
+Create Date: 2024-04-29 09:49:46.864145
+
+"""
+
+from typing import Sequence, Union
+
+import sqlalchemy as sa
+from alembic import op
+from sqlalchemy.engine.reflection import Inspector
+
+# revision identifiers, used by Alembic.
+revision: str = "1f4d6df60295"
+down_revision: Union[str, None] = "6e7b581b5648"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    # ### commands auto generated by Alembic - please adjust! ###
+    column_names = [column["name"] for column in inspector.get_columns("variable")]
+    with op.batch_alter_table("variable", schema=None) as batch_op:
+        if "default_fields" not in column_names:
+            batch_op.add_column(sa.Column("default_fields", sa.JSON(), nullable=True))
+
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    # ### commands auto generated by Alembic - please adjust! ###
+    column_names = [column["name"] for column in inspector.get_columns("variable")]
+    with op.batch_alter_table("variable", schema=None) as batch_op:
+        if "default_fields" in column_names:
+            batch_op.drop_column("default_fields")
+
+    # ### end Alembic commands ###
diff --git a/src/backend/langflow/alembic/versions/260dbcc8b680_adds_tables.py b/src/backend/base/langflow/alembic/versions/260dbcc8b680_adds_tables.py
similarity index 81%
rename from src/backend/langflow/alembic/versions/260dbcc8b680_adds_tables.py
rename to src/backend/base/langflow/alembic/versions/260dbcc8b680_adds_tables.py
index 0d7eed58208..01db957fe44 100644
--- a/src/backend/langflow/alembic/versions/260dbcc8b680_adds_tables.py
+++ b/src/backend/base/langflow/alembic/versions/260dbcc8b680_adds_tables.py
@@ -31,23 +31,16 @@ def upgrade() -> None:
     # and other related indices
     if "flowstyle" in existing_tables:
         op.drop_table("flowstyle")
-        if "ix_flowstyle_flow_id" in [
-            index["name"] for index in inspector.get_indexes("flowstyle")
-        ]:
-            op.drop_index(
-                "ix_flowstyle_flow_id", table_name="flowstyle", if_exists=True
-            )
+        if "ix_flowstyle_flow_id" in [index["name"] for index in inspector.get_indexes("flowstyle")]:
+            op.drop_index("ix_flowstyle_flow_id", table_name="flowstyle", if_exists=True)
 
     existing_indices_flow = []
     existing_fks_flow = []
     if "flow" in existing_tables:
-        existing_indices_flow = [
-            index["name"] for index in inspector.get_indexes("flow")
-        ]
+        existing_indices_flow = [index["name"] for index in inspector.get_indexes("flow")]
         # Existing foreign keys for the 'flow' table, if it exists
         existing_fks_flow = [
-            fk["referred_table"] + "." + fk["referred_columns"][0]
-            for fk in inspector.get_foreign_keys("flow")
+            fk["referred_table"] + "." + fk["referred_columns"][0] for fk in inspector.get_foreign_keys("flow")
         ]
         # Now check if the columns user_id exists in the 'flow' table
         # If it does not exist, we need to create the foreign key
@@ -67,9 +60,7 @@ def upgrade() -> None:
             sa.UniqueConstraint("id", name="uq_user_id"),
         )
         with op.batch_alter_table("user", schema=None) as batch_op:
-            batch_op.create_index(
-                batch_op.f("ix_user_username"), ["username"], unique=True
-            )
+            batch_op.create_index(batch_op.f("ix_user_username"), ["username"], unique=True)
 
     if "apikey" not in existing_tables:
         op.create_table(
@@ -82,20 +73,14 @@ def upgrade() -> None:
             sa.Column("id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
             sa.Column("api_key", sqlmodel.sql.sqltypes.AutoString(), nullable=False),
             sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
-            sa.ForeignKeyConstraint(
-                ["user_id"], ["user.id"], name="fk_apikey_user_id_user"
-            ),
+            sa.ForeignKeyConstraint(["user_id"], ["user.id"], name="fk_apikey_user_id_user"),
             sa.PrimaryKeyConstraint("id", name="pk_apikey"),
             sa.UniqueConstraint("id", name="uq_apikey_id"),
         )
         with op.batch_alter_table("apikey", schema=None) as batch_op:
-            batch_op.create_index(
-                batch_op.f("ix_apikey_api_key"), ["api_key"], unique=True
-            )
+            batch_op.create_index(batch_op.f("ix_apikey_api_key"), ["api_key"], unique=True)
             batch_op.create_index(batch_op.f("ix_apikey_name"), ["name"], unique=False)
-            batch_op.create_index(
-                batch_op.f("ix_apikey_user_id"), ["user_id"], unique=False
-            )
+            batch_op.create_index(batch_op.f("ix_apikey_user_id"), ["user_id"], unique=False)
     if "flow" not in existing_tables:
         op.create_table(
             "flow",
@@ -104,9 +89,7 @@ def upgrade() -> None:
             sa.Column("description", sqlmodel.sql.sqltypes.AutoString(), nullable=True),
             sa.Column("id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
             sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
-            sa.ForeignKeyConstraint(
-                ["user_id"], ["user.id"], name="fk_flow_user_id_user"
-            ),
+            sa.ForeignKeyConstraint(["user_id"], ["user.id"], name="fk_flow_user_id_user"),
             sa.PrimaryKeyConstraint("id", name="pk_flow"),
             sa.UniqueConstraint("id", name="uq_flow_id"),
         )
@@ -129,16 +112,12 @@ def upgrade() -> None:
         if "user.id" not in existing_fks_flow:
             batch_op.create_foreign_key("fk_flow_user_id", "user", ["user_id"], ["id"])
         if "ix_flow_description" not in existing_indices_flow:
-            batch_op.create_index(
-                batch_op.f("ix_flow_description"), ["description"], unique=False
-            )
+            batch_op.create_index(batch_op.f("ix_flow_description"), ["description"], unique=False)
         if "ix_flow_name" not in existing_indices_flow:
             batch_op.create_index(batch_op.f("ix_flow_name"), ["name"], unique=False)
     with op.batch_alter_table("flow", schema=None) as batch_op:
         if "ix_flow_user_id" not in existing_indices_flow:
-            batch_op.create_index(
-                batch_op.f("ix_flow_user_id"), ["user_id"], unique=False
-            )
+            batch_op.create_index(batch_op.f("ix_flow_user_id"), ["user_id"], unique=False)
 
     # ### end Alembic commands ###
 
@@ -169,10 +148,4 @@ def downgrade() -> None:
             batch_op.drop_index(batch_op.f("ix_user_username"), if_exists=True)
 
         op.drop_table("user")
-
-    if "flowstyle" in existing_tables:
-        op.drop_table("flowstyle")
-
-    if "component" in existing_tables:
-        op.drop_table("component")
     # ### end Alembic commands ###
diff --git a/src/backend/base/langflow/alembic/versions/29fe8f1f806b_add_missing_index.py b/src/backend/base/langflow/alembic/versions/29fe8f1f806b_add_missing_index.py
new file mode 100644
index 00000000000..9a2518df203
--- /dev/null
+++ b/src/backend/base/langflow/alembic/versions/29fe8f1f806b_add_missing_index.py
@@ -0,0 +1,43 @@
+"""Add missing index
+
+Revision ID: 29fe8f1f806b
+Revises: 012fb73ac359
+Create Date: 2024-05-21 09:23:48.772367
+
+"""
+
+from typing import Sequence, Union
+
+from alembic import op
+from sqlalchemy.engine.reflection import Inspector
+
+revision: str = "29fe8f1f806b"
+down_revision: Union[str, None] = "012fb73ac359"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    # ### commands auto generated by Alembic - please adjust! ###
+    indexes = inspector.get_indexes("flow")
+    with op.batch_alter_table("flow", schema=None) as batch_op:
+        indexes_names = [index["name"] for index in indexes]
+        if "ix_flow_folder_id" not in indexes_names:
+            batch_op.create_index(batch_op.f("ix_flow_folder_id"), ["folder_id"], unique=False)
+
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    # ### commands auto generated by Alembic - please adjust! ###
+    indexes = inspector.get_indexes("flow")
+    with op.batch_alter_table("flow", schema=None) as batch_op:
+        indexes_names = [index["name"] for index in indexes]
+        if "ix_flow_folder_id" in indexes_names:
+            batch_op.drop_index(batch_op.f("ix_flow_folder_id"))
+
+    # ### end Alembic commands ###
diff --git a/src/backend/langflow/alembic/versions/2ac71eb9c3ae_adds_credential_table.py b/src/backend/base/langflow/alembic/versions/2ac71eb9c3ae_adds_credential_table.py
similarity index 93%
rename from src/backend/langflow/alembic/versions/2ac71eb9c3ae_adds_credential_table.py
rename to src/backend/base/langflow/alembic/versions/2ac71eb9c3ae_adds_credential_table.py
index 367bf81185f..617189071bd 100644
--- a/src/backend/langflow/alembic/versions/2ac71eb9c3ae_adds_credential_table.py
+++ b/src/backend/base/langflow/alembic/versions/2ac71eb9c3ae_adds_credential_table.py
@@ -31,9 +31,7 @@ def upgrade() -> None:
                 "credential",
                 sa.Column("name", sqlmodel.sql.sqltypes.AutoString(), nullable=True),
                 sa.Column("value", sqlmodel.sql.sqltypes.AutoString(), nullable=True),
-                sa.Column(
-                    "provider", sqlmodel.sql.sqltypes.AutoString(), nullable=True
-                ),
+                sa.Column("provider", sqlmodel.sql.sqltypes.AutoString(), nullable=True),
                 sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
                 sa.Column("id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
                 sa.Column("created_at", sqlmodel.sql.sqltypes.DateTime(), nullable=False),
diff --git a/src/backend/base/langflow/alembic/versions/3bb0ddf32dfb_add_unique_constraints_per_user_in_flow_.py b/src/backend/base/langflow/alembic/versions/3bb0ddf32dfb_add_unique_constraints_per_user_in_flow_.py
new file mode 100644
index 00000000000..699df143782
--- /dev/null
+++ b/src/backend/base/langflow/alembic/versions/3bb0ddf32dfb_add_unique_constraints_per_user_in_flow_.py
@@ -0,0 +1,54 @@
+"""Add unique constraints per user in flow table
+
+Revision ID: 3bb0ddf32dfb
+Revises: a72f5cf9c2f9
+Create Date: 2024-05-29 23:08:43.935040
+
+"""
+
+from typing import Sequence, Union
+
+from alembic import op
+from sqlalchemy.engine.reflection import Inspector
+
+# revision identifiers, used by Alembic.
+revision: str = "3bb0ddf32dfb"
+down_revision: Union[str, None] = "a72f5cf9c2f9"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    # ### commands auto generated by Alembic - please adjust! ###
+    indexes_names = [index["name"] for index in inspector.get_indexes("flow")]
+    constraints_names = [constraint["name"] for constraint in inspector.get_unique_constraints("flow")]
+    with op.batch_alter_table("flow", schema=None) as batch_op:
+        if "ix_flow_endpoint_name" in indexes_names:
+            batch_op.drop_index("ix_flow_endpoint_name")
+            batch_op.create_index(batch_op.f("ix_flow_endpoint_name"), ["endpoint_name"], unique=False)
+        if "unique_flow_endpoint_name" not in constraints_names:
+            batch_op.create_unique_constraint("unique_flow_endpoint_name", ["user_id", "endpoint_name"])
+        if "unique_flow_name" not in constraints_names:
+            batch_op.create_unique_constraint("unique_flow_name", ["user_id", "name"])
+
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    # ### commands auto generated by Alembic - please adjust! ###
+    indexes_names = [index["name"] for index in inspector.get_indexes("flow")]
+    constraints_names = [constraint["name"] for constraint in inspector.get_unique_constraints("flow")]
+    with op.batch_alter_table("flow", schema=None) as batch_op:
+        if "unique_flow_name" in constraints_names:
+            batch_op.drop_constraint("unique_flow_name", type_="unique")
+        if "unique_flow_endpoint_name" in constraints_names:
+            batch_op.drop_constraint("unique_flow_endpoint_name", type_="unique")
+        if "ix_flow_endpoint_name" in indexes_names:
+            batch_op.drop_index(batch_op.f("ix_flow_endpoint_name"))
+            batch_op.create_index("ix_flow_endpoint_name", ["endpoint_name"], unique=1)
+
+    # ### end Alembic commands ###
diff --git a/src/backend/base/langflow/alembic/versions/4e5980a44eaa_fix_date_times_again.py b/src/backend/base/langflow/alembic/versions/4e5980a44eaa_fix_date_times_again.py
new file mode 100644
index 00000000000..dc3e985ed7b
--- /dev/null
+++ b/src/backend/base/langflow/alembic/versions/4e5980a44eaa_fix_date_times_again.py
@@ -0,0 +1,130 @@
+"""Fix date times again
+
+Revision ID: 4e5980a44eaa
+Revises: 79e675cb6752
+Create Date: 2024-04-12 18:11:06.454037
+
+"""
+
+from typing import Sequence, Union
+
+import sqlalchemy as sa
+from alembic import op
+from loguru import logger
+from sqlalchemy.dialects import postgresql
+from sqlalchemy.engine.reflection import Inspector
+
+# revision identifiers, used by Alembic.
+revision: str = "4e5980a44eaa"
+down_revision: Union[str, None] = "79e675cb6752"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    table_names = inspector.get_table_names()
+    # ### commands auto generated by Alembic - please adjust! ###
+    if "apikey" in table_names:
+        columns = inspector.get_columns("apikey")
+        created_at_column = next((column for column in columns if column["name"] == "created_at"), None)
+        if created_at_column is not None and isinstance(created_at_column["type"], postgresql.TIMESTAMP):
+            with op.batch_alter_table("apikey", schema=None) as batch_op:
+                batch_op.alter_column(
+                    "created_at",
+                    existing_type=postgresql.TIMESTAMP(),
+                    type_=sa.DateTime(timezone=True),
+                    existing_nullable=False,
+                )
+        else:
+            if created_at_column is None:
+                logger.warning("Column 'created_at' not found in table 'apikey'")
+            else:
+                logger.warning(f"Column 'created_at' has type {created_at_column['type']} in table 'apikey'")
+    if "variable" in table_names:
+        columns = inspector.get_columns("variable")
+        created_at_column = next((column for column in columns if column["name"] == "created_at"), None)
+        updated_at_column = next((column for column in columns if column["name"] == "updated_at"), None)
+        with op.batch_alter_table("variable", schema=None) as batch_op:
+            if created_at_column is not None and isinstance(created_at_column["type"], postgresql.TIMESTAMP):
+                batch_op.alter_column(
+                    "created_at",
+                    existing_type=postgresql.TIMESTAMP(),
+                    type_=sa.DateTime(timezone=True),
+                    existing_nullable=True,
+                )
+            else:
+                if created_at_column is None:
+                    logger.warning("Column 'created_at' not found in table 'variable'")
+                else:
+                    logger.warning(f"Column 'created_at' has type {created_at_column['type']} in table 'variable'")
+            if updated_at_column is not None and isinstance(updated_at_column["type"], postgresql.TIMESTAMP):
+                batch_op.alter_column(
+                    "updated_at",
+                    existing_type=postgresql.TIMESTAMP(),
+                    type_=sa.DateTime(timezone=True),
+                    existing_nullable=True,
+                )
+            else:
+                if updated_at_column is None:
+                    logger.warning("Column 'updated_at' not found in table 'variable'")
+                else:
+                    logger.warning(f"Column 'updated_at' has type {updated_at_column['type']} in table 'variable'")
+
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    table_names = inspector.get_table_names()
+    # ### commands auto generated by Alembic - please adjust! ###
+    if "variable" in table_names:
+        columns = inspector.get_columns("variable")
+        created_at_column = next((column for column in columns if column["name"] == "created_at"), None)
+        updated_at_column = next((column for column in columns if column["name"] == "updated_at"), None)
+        with op.batch_alter_table("variable", schema=None) as batch_op:
+            if updated_at_column is not None and isinstance(updated_at_column["type"], sa.DateTime):
+                batch_op.alter_column(
+                    "updated_at",
+                    existing_type=sa.DateTime(timezone=True),
+                    type_=postgresql.TIMESTAMP(),
+                    existing_nullable=True,
+                )
+            else:
+                if updated_at_column is None:
+                    logger.warning("Column 'updated_at' not found in table 'variable'")
+                else:
+                    logger.warning(f"Column 'updated_at' has type {updated_at_column['type']} in table 'variable'")
+            if created_at_column is not None and isinstance(created_at_column["type"], sa.DateTime):
+                batch_op.alter_column(
+                    "created_at",
+                    existing_type=sa.DateTime(timezone=True),
+                    type_=postgresql.TIMESTAMP(),
+                    existing_nullable=True,
+                )
+            else:
+                if created_at_column is None:
+                    logger.warning("Column 'created_at' not found in table 'variable'")
+                else:
+                    logger.warning(f"Column 'created_at' has type {created_at_column['type']} in table 'variable'")
+
+    if "apikey" in table_names:
+        columns = inspector.get_columns("apikey")
+        created_at_column = next((column for column in columns if column["name"] == "created_at"), None)
+        if created_at_column is not None and isinstance(created_at_column["type"], sa.DateTime):
+            with op.batch_alter_table("apikey", schema=None) as batch_op:
+                batch_op.alter_column(
+                    "created_at",
+                    existing_type=sa.DateTime(timezone=True),
+                    type_=postgresql.TIMESTAMP(),
+                    existing_nullable=False,
+                )
+        else:
+            if created_at_column is None:
+                logger.warning("Column 'created_at' not found in table 'apikey'")
+            else:
+                logger.warning(f"Column 'created_at' has type {created_at_column['type']} in table 'apikey'")
+
+    # ### end Alembic commands ###
diff --git a/src/backend/base/langflow/alembic/versions/58b28437a398_modify_nullable.py b/src/backend/base/langflow/alembic/versions/58b28437a398_modify_nullable.py
new file mode 100644
index 00000000000..ead1ca30acb
--- /dev/null
+++ b/src/backend/base/langflow/alembic/versions/58b28437a398_modify_nullable.py
@@ -0,0 +1,66 @@
+"""Modify nullable
+
+Revision ID: 58b28437a398
+Revises: 4e5980a44eaa
+Create Date: 2024-04-13 10:57:23.061709
+
+"""
+
+from typing import Sequence, Union
+
+import sqlalchemy as sa
+from alembic import op
+from loguru import logger
+from sqlalchemy.engine.reflection import Inspector
+
+down_revision: Union[str, None] = "4e5980a44eaa"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+# Revision identifiers, used by Alembic.
+revision = "58b28437a398"
+down_revision = "4e5980a44eaa"
+branch_labels = None
+depends_on = None
+
+
+def upgrade():
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)
+    tables = ["apikey", "variable"]  # List of tables to modify
+
+    for table_name in tables:
+        modify_nullable(conn, inspector, table_name, upgrade=True)
+
+
+def downgrade():
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)
+    tables = ["apikey", "variable"]  # List of tables to revert
+
+    for table_name in tables:
+        modify_nullable(conn, inspector, table_name, upgrade=False)
+
+
+def modify_nullable(conn, inspector, table_name, upgrade=True):
+    columns = inspector.get_columns(table_name)
+    nullable_changes = {"apikey": {"created_at": False}, "variable": {"created_at": True, "updated_at": True}}
+
+    if table_name in columns:
+        with op.batch_alter_table(table_name, schema=None) as batch_op:
+            for column_name, nullable_setting in nullable_changes.get(table_name, {}).items():
+                column_info = next((col for col in columns if col["name"] == column_name), None)
+                if column_info:
+                    current_nullable = column_info["nullable"]
+                    target_nullable = nullable_setting if upgrade else not nullable_setting
+
+                    if current_nullable != target_nullable:
+                        batch_op.alter_column(
+                            column_name, existing_type=sa.DateTime(timezone=True), nullable=target_nullable
+                        )
+                    else:
+                        logger.info(
+                            f"Column '{column_name}' in table '{table_name}' already has nullable={target_nullable}"
+                        )
+                else:
+                    logger.warning(f"Column '{column_name}' not found in table '{table_name}'")
diff --git a/src/backend/base/langflow/alembic/versions/631faacf5da2_add_webhook_columns.py b/src/backend/base/langflow/alembic/versions/631faacf5da2_add_webhook_columns.py
new file mode 100644
index 00000000000..379fba17cf0
--- /dev/null
+++ b/src/backend/base/langflow/alembic/versions/631faacf5da2_add_webhook_columns.py
@@ -0,0 +1,45 @@
+"""Add webhook columns
+
+Revision ID: 631faacf5da2
+Revises: 1c79524817ed
+Create Date: 2024-04-22 15:14:43.454784
+
+"""
+
+from typing import Sequence, Union
+
+import sqlalchemy as sa
+from alembic import op
+from sqlalchemy.engine.reflection import Inspector
+
+# revision identifiers, used by Alembic.
+revision: str = "631faacf5da2"
+down_revision: Union[str, None] = "1c79524817ed"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    table_names = inspector.get_table_names()
+    # ### commands auto generated by Alembic - please adjust! ###
+    column_names = [column["name"] for column in inspector.get_columns("flow")]
+    with op.batch_alter_table("flow", schema=None) as batch_op:
+        if "flow" in table_names and "webhook" not in column_names:
+            batch_op.add_column(sa.Column("webhook", sa.Boolean(), nullable=True))
+
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    table_names = inspector.get_table_names()
+    # ### commands auto generated by Alembic - please adjust! ###
+    column_names = [column["name"] for column in inspector.get_columns("flow")]
+    with op.batch_alter_table("flow", schema=None) as batch_op:
+        if "flow" in table_names and "webhook" in column_names:
+            batch_op.drop_column("webhook")
+
+    # ### end Alembic commands ###
diff --git a/src/backend/base/langflow/alembic/versions/63b9c451fd30_add_icon_and_icon_bg_color_to_flow.py b/src/backend/base/langflow/alembic/versions/63b9c451fd30_add_icon_and_icon_bg_color_to_flow.py
new file mode 100644
index 00000000000..c6d6893e3d9
--- /dev/null
+++ b/src/backend/base/langflow/alembic/versions/63b9c451fd30_add_icon_and_icon_bg_color_to_flow.py
@@ -0,0 +1,50 @@
+"""Add icon and icon_bg_color to Flow
+
+Revision ID: 63b9c451fd30
+Revises: bc2f01c40e4a
+Create Date: 2024-03-06 10:53:47.148658
+
+"""
+
+from typing import Sequence, Union
+
+import sqlalchemy as sa
+import sqlmodel
+from alembic import op
+from sqlalchemy.engine.reflection import Inspector
+
+# revision identifiers, used by Alembic.
+revision: str = "63b9c451fd30"
+down_revision: Union[str, None] = "bc2f01c40e4a"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    table_names = inspector.get_table_names()  # noqa
+    column_names = [column["name"] for column in inspector.get_columns("flow")]
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table("flow", schema=None) as batch_op:
+        if "icon" not in column_names:
+            batch_op.add_column(sa.Column("icon", sqlmodel.sql.sqltypes.AutoString(), nullable=True))
+        if "icon_bg_color" not in column_names:
+            batch_op.add_column(sa.Column("icon_bg_color", sqlmodel.sql.sqltypes.AutoString(), nullable=True))
+
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    table_names = inspector.get_table_names()  # noqa
+    column_names = [column["name"] for column in inspector.get_columns("flow")]
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table("flow", schema=None) as batch_op:
+        if "icon" in column_names:
+            batch_op.drop_column("icon")
+        if "icon_bg_color" in column_names:
+            batch_op.drop_column("icon_bg_color")
+
+    # ### end Alembic commands ###
diff --git a/src/backend/langflow/alembic/versions/67cc006d50bf_add_profile_image_column.py b/src/backend/base/langflow/alembic/versions/67cc006d50bf_add_profile_image_column.py
similarity index 100%
rename from src/backend/langflow/alembic/versions/67cc006d50bf_add_profile_image_column.py
rename to src/backend/base/langflow/alembic/versions/67cc006d50bf_add_profile_image_column.py
diff --git a/src/backend/base/langflow/alembic/versions/6e7b581b5648_fix_nullable.py b/src/backend/base/langflow/alembic/versions/6e7b581b5648_fix_nullable.py
new file mode 100644
index 00000000000..f9e9cc5e9b0
--- /dev/null
+++ b/src/backend/base/langflow/alembic/versions/6e7b581b5648_fix_nullable.py
@@ -0,0 +1,59 @@
+"""Fix nullable
+
+Revision ID: 6e7b581b5648
+Revises: 58b28437a398
+Create Date: 2024-04-30 09:17:45.024688
+
+"""
+
+from typing import Sequence, Union
+
+import sqlalchemy as sa
+from alembic import op
+from sqlalchemy.engine.reflection import Inspector
+
+# revision identifiers, used by Alembic.
+revision: str = "6e7b581b5648"
+down_revision: Union[str, None] = "58b28437a398"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    # table_names = inspector.get_table_names()
+    # ### commands auto generated by Alembic - please adjust! ###
+    columns = inspector.get_columns("apikey")
+    column_names = {column["name"]: column for column in columns}
+    with op.batch_alter_table("apikey", schema=None) as batch_op:
+        created_at_column = [column for column in columns if column["name"] == "created_at"][0]
+        if "created_at" in column_names and created_at_column.get("nullable"):
+            batch_op.alter_column(
+                "created_at",
+                existing_type=sa.DATETIME(),
+                nullable=False,
+                existing_server_default=sa.text("(CURRENT_TIMESTAMP)"),  # type: ignore
+            )
+
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    # table_names = inspector.get_table_names()
+    columns = inspector.get_columns("apikey")
+    column_names = {column["name"]: column for column in columns}
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table("apikey", schema=None) as batch_op:
+        created_at_column = [column for column in columns if column["name"] == "created_at"][0]
+        if "created_at" in column_names and not created_at_column.get("nullable"):
+            batch_op.alter_column(
+                "created_at",
+                existing_type=sa.DATETIME(),
+                nullable=True,
+                existing_server_default=sa.text("(CURRENT_TIMESTAMP)"),  # type: ignore
+            )
+
+    # ### end Alembic commands ###
diff --git a/src/backend/langflow/alembic/versions/7843803a87b5_store_updates.py b/src/backend/base/langflow/alembic/versions/7843803a87b5_store_updates.py
similarity index 78%
rename from src/backend/langflow/alembic/versions/7843803a87b5_store_updates.py
rename to src/backend/base/langflow/alembic/versions/7843803a87b5_store_updates.py
index 26961d6b6a7..d2a57641074 100644
--- a/src/backend/langflow/alembic/versions/7843803a87b5_store_updates.py
+++ b/src/backend/base/langflow/alembic/versions/7843803a87b5_store_updates.py
@@ -29,20 +29,14 @@ def upgrade() -> None:
     try:
         if "is_component" not in flow_columns:
             with op.batch_alter_table("flow", schema=None) as batch_op:
-                batch_op.add_column(
-                    sa.Column("is_component", sa.Boolean(), nullable=True)
-                )
-    except Exception as e:
-        logger.exception(f"Error during upgrade: {e}")
+                batch_op.add_column(sa.Column("is_component", sa.Boolean(), nullable=True))
+    except Exception:
         pass
     try:
         if "store_api_key" not in user_columns:
             with op.batch_alter_table("user", schema=None) as batch_op:
-                batch_op.add_column(
-                    sa.Column("store_api_key", sqlmodel.AutoString(), nullable=True)
-                )
-    except Exception as e:
-        logger.exception(f"Error during upgrade: {e}")
+                batch_op.add_column(sa.Column("store_api_key", sqlmodel.AutoString(), nullable=True))
+    except Exception:
         pass
     # ### end Alembic commands ###
 
diff --git a/src/backend/base/langflow/alembic/versions/79e675cb6752_change_datetime_type.py b/src/backend/base/langflow/alembic/versions/79e675cb6752_change_datetime_type.py
new file mode 100644
index 00000000000..0b6bc921888
--- /dev/null
+++ b/src/backend/base/langflow/alembic/versions/79e675cb6752_change_datetime_type.py
@@ -0,0 +1,130 @@
+"""Change datetime type
+
+Revision ID: 79e675cb6752
+Revises: e3bc869fa272
+Create Date: 2024-04-11 19:23:10.697335
+
+"""
+
+from typing import Sequence, Union
+
+import sqlalchemy as sa
+from alembic import op
+from sqlalchemy.dialects import postgresql
+from sqlalchemy.engine.reflection import Inspector
+from loguru import logger
+
+# revision identifiers, used by Alembic.
+revision: str = "79e675cb6752"
+down_revision: Union[str, None] = "e3bc869fa272"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    table_names = inspector.get_table_names()
+    # ### commands auto generated by Alembic - please adjust! ###
+    if "apikey" in table_names:
+        columns = inspector.get_columns("apikey")
+        created_at_column = next((column for column in columns if column["name"] == "created_at"), None)
+        if created_at_column is not None and isinstance(created_at_column["type"], postgresql.TIMESTAMP):
+            with op.batch_alter_table("apikey", schema=None) as batch_op:
+                batch_op.alter_column(
+                    "created_at",
+                    existing_type=postgresql.TIMESTAMP(),
+                    type_=sa.DateTime(timezone=True),
+                    existing_nullable=False,
+                )
+        else:
+            if created_at_column is None:
+                logger.warning("Column 'created_at' not found in table 'apikey'")
+            else:
+                logger.warning(f"Column 'created_at' has type {created_at_column['type']} in table 'apikey'")
+    if "variable" in table_names:
+        columns = inspector.get_columns("variable")
+        created_at_column = next((column for column in columns if column["name"] == "created_at"), None)
+        updated_at_column = next((column for column in columns if column["name"] == "updated_at"), None)
+        with op.batch_alter_table("variable", schema=None) as batch_op:
+            if created_at_column is not None and isinstance(created_at_column["type"], postgresql.TIMESTAMP):
+                batch_op.alter_column(
+                    "created_at",
+                    existing_type=postgresql.TIMESTAMP(),
+                    type_=sa.DateTime(timezone=True),
+                    existing_nullable=True,
+                )
+            else:
+                if created_at_column is None:
+                    logger.warning("Column 'created_at' not found in table 'variable'")
+                else:
+                    logger.warning(f"Column 'created_at' has type {created_at_column['type']} in table 'variable'")
+            if updated_at_column is not None and isinstance(updated_at_column["type"], postgresql.TIMESTAMP):
+                batch_op.alter_column(
+                    "updated_at",
+                    existing_type=postgresql.TIMESTAMP(),
+                    type_=sa.DateTime(timezone=True),
+                    existing_nullable=True,
+                )
+            else:
+                if updated_at_column is None:
+                    logger.warning("Column 'updated_at' not found in table 'variable'")
+                else:
+                    logger.warning(f"Column 'updated_at' has type {updated_at_column['type']} in table 'variable'")
+
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    table_names = inspector.get_table_names()
+    # ### commands auto generated by Alembic - please adjust! ###
+    if "variable" in table_names:
+        columns = inspector.get_columns("variable")
+        created_at_column = next((column for column in columns if column["name"] == "created_at"), None)
+        updated_at_column = next((column for column in columns if column["name"] == "updated_at"), None)
+        with op.batch_alter_table("variable", schema=None) as batch_op:
+            if updated_at_column is not None and isinstance(updated_at_column["type"], sa.DateTime):
+                batch_op.alter_column(
+                    "updated_at",
+                    existing_type=sa.DateTime(timezone=True),
+                    type_=postgresql.TIMESTAMP(),
+                    existing_nullable=True,
+                )
+            else:
+                if updated_at_column is None:
+                    logger.warning("Column 'updated_at' not found in table 'variable'")
+                else:
+                    logger.warning(f"Column 'updated_at' has type {updated_at_column['type']} in table 'variable'")
+            if created_at_column is not None and isinstance(created_at_column["type"], sa.DateTime):
+                batch_op.alter_column(
+                    "created_at",
+                    existing_type=sa.DateTime(timezone=True),
+                    type_=postgresql.TIMESTAMP(),
+                    existing_nullable=True,
+                )
+            else:
+                if created_at_column is None:
+                    logger.warning("Column 'created_at' not found in table 'variable'")
+                else:
+                    logger.warning(f"Column 'created_at' has type {created_at_column['type']} in table 'variable'")
+
+    if "apikey" in table_names:
+        columns = inspector.get_columns("apikey")
+        created_at_column = next((column for column in columns if column["name"] == "created_at"), None)
+        if created_at_column is not None and isinstance(created_at_column["type"], sa.DateTime):
+            with op.batch_alter_table("apikey", schema=None) as batch_op:
+                batch_op.alter_column(
+                    "created_at",
+                    existing_type=sa.DateTime(timezone=True),
+                    type_=postgresql.TIMESTAMP(),
+                    existing_nullable=False,
+                )
+        else:
+            if created_at_column is None:
+                logger.warning("Column 'created_at' not found in table 'apikey'")
+            else:
+                logger.warning(f"Column 'created_at' has type {created_at_column['type']} in table 'apikey'")
+
+    # ### end Alembic commands ###
diff --git a/src/backend/base/langflow/alembic/versions/7d2162acc8b2_adds_updated_at_and_folder_cols.py b/src/backend/base/langflow/alembic/versions/7d2162acc8b2_adds_updated_at_and_folder_cols.py
new file mode 100644
index 00000000000..7499b32ae61
--- /dev/null
+++ b/src/backend/base/langflow/alembic/versions/7d2162acc8b2_adds_updated_at_and_folder_cols.py
@@ -0,0 +1,74 @@
+"""Adds updated_at and folder cols
+
+Revision ID: 7d2162acc8b2
+Revises: f5ee9749d1a6
+Create Date: 2023-11-21 20:56:53.998781
+
+"""
+
+from typing import Sequence, Union
+
+import sqlalchemy as sa
+import sqlmodel
+from alembic import op
+from sqlalchemy.engine.reflection import Inspector
+
+# revision identifiers, used by Alembic.
+revision: str = "7d2162acc8b2"
+down_revision: Union[str, None] = "f5ee9749d1a6"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    # ### commands auto generated by Alembic - please adjust! ###
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    api_key_columns = [column["name"] for column in inspector.get_columns("apikey")]
+    flow_columns = [column["name"] for column in inspector.get_columns("flow")]
+
+    try:
+        if "name" in api_key_columns:
+            with op.batch_alter_table("apikey", schema=None) as batch_op:
+                batch_op.alter_column("name", existing_type=sa.VARCHAR(), nullable=False)
+    except Exception as e:
+        print(e)
+
+        pass
+    try:
+        with op.batch_alter_table("flow", schema=None) as batch_op:
+            if "updated_at" not in flow_columns:
+                batch_op.add_column(sa.Column("updated_at", sa.DateTime(), nullable=True))
+            if "folder" not in flow_columns:
+                batch_op.add_column(sa.Column("folder", sqlmodel.sql.sqltypes.AutoString(), nullable=True))
+    except Exception as e:
+        print(e)
+
+        pass
+
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    # ### commands auto generated by Alembic - please adjust! ###
+    try:
+        conn = op.get_bind()
+        inspector = Inspector.from_engine(conn)  # type: ignore
+        column_names = [column["name"] for column in inspector.get_columns("flow")]
+        with op.batch_alter_table("flow", schema=None) as batch_op:
+            if "folder" in column_names:
+                batch_op.drop_column("folder")
+            if "updated_at" in column_names:
+                batch_op.drop_column("updated_at")
+    except Exception as e:
+        print(e)
+        pass
+
+    try:
+        with op.batch_alter_table("apikey", schema=None) as batch_op:
+            batch_op.alter_column("name", existing_type=sa.VARCHAR(), nullable=True)
+    except Exception as e:
+        print(e)
+        pass
+
+    # ### end Alembic commands ###
diff --git a/src/backend/base/langflow/alembic/versions/a72f5cf9c2f9_add_endpoint_name_col.py b/src/backend/base/langflow/alembic/versions/a72f5cf9c2f9_add_endpoint_name_col.py
new file mode 100644
index 00000000000..3d6dd604c14
--- /dev/null
+++ b/src/backend/base/langflow/alembic/versions/a72f5cf9c2f9_add_endpoint_name_col.py
@@ -0,0 +1,52 @@
+"""Add endpoint name col
+
+Revision ID: a72f5cf9c2f9
+Revises: 29fe8f1f806b
+Create Date: 2024-05-29 21:44:04.240816
+
+"""
+
+from typing import Sequence, Union
+
+import sqlalchemy as sa
+import sqlmodel
+from alembic import op
+from sqlalchemy.engine.reflection import Inspector
+
+# revision identifiers, used by Alembic.
+revision: str = "a72f5cf9c2f9"
+down_revision: Union[str, None] = "29fe8f1f806b"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    # ### commands auto generated by Alembic - please adjust! ###
+    column_names = [column["name"] for column in inspector.get_columns("flow")]
+    indexes = inspector.get_indexes("flow")
+    index_names = [index["name"] for index in indexes]
+    with op.batch_alter_table("flow", schema=None) as batch_op:
+        if "endpoint_name" not in column_names:
+            batch_op.add_column(sa.Column("endpoint_name", sqlmodel.sql.sqltypes.AutoString(), nullable=True))
+        if "ix_flow_endpoint_name" not in index_names:
+            batch_op.create_index(batch_op.f("ix_flow_endpoint_name"), ["endpoint_name"], unique=True)
+
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    # ### commands auto generated by Alembic - please adjust! ###
+    column_names = [column["name"] for column in inspector.get_columns("flow")]
+    indexes = inspector.get_indexes("flow")
+    index_names = [index["name"] for index in indexes]
+    with op.batch_alter_table("flow", schema=None) as batch_op:
+        if "ix_flow_endpoint_name" in index_names:
+            batch_op.drop_index(batch_op.f("ix_flow_endpoint_name"))
+        if "endpoint_name" in column_names:
+            batch_op.drop_column("endpoint_name")
+
+    # ### end Alembic commands ###
diff --git a/src/backend/langflow/alembic/versions/b2fa308044b5_add_unique_constraints.py b/src/backend/base/langflow/alembic/versions/b2fa308044b5_add_unique_constraints.py
similarity index 81%
rename from src/backend/langflow/alembic/versions/b2fa308044b5_add_unique_constraints.py
rename to src/backend/base/langflow/alembic/versions/b2fa308044b5_add_unique_constraints.py
index 1ae34ce6b0d..11ba1a113bb 100644
--- a/src/backend/langflow/alembic/versions/b2fa308044b5_add_unique_constraints.py
+++ b/src/backend/base/langflow/alembic/versions/b2fa308044b5_add_unique_constraints.py
@@ -33,37 +33,25 @@ def upgrade() -> None:
         with op.batch_alter_table("flow", schema=None) as batch_op:
             flow_columns = [column["name"] for column in inspector.get_columns("flow")]
             if "is_component" not in flow_columns:
-                batch_op.add_column(
-                    sa.Column("is_component", sa.Boolean(), nullable=True)
-                )
+                batch_op.add_column(sa.Column("is_component", sa.Boolean(), nullable=True))
             if "updated_at" not in flow_columns:
-                batch_op.add_column(
-                    sa.Column("updated_at", sa.DateTime(), nullable=True)
-                )
+                batch_op.add_column(sa.Column("updated_at", sa.DateTime(), nullable=True))
             if "folder" not in flow_columns:
-                batch_op.add_column(
-                    sa.Column(
-                        "folder", sqlmodel.sql.sqltypes.AutoString(), nullable=True
-                    )
-                )
+                batch_op.add_column(sa.Column("folder", sqlmodel.sql.sqltypes.AutoString(), nullable=True))
             if "user_id" not in flow_columns:
-                batch_op.add_column(
-                    sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=True)
-                )
+                batch_op.add_column(sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=True))
             indices = inspector.get_indexes("flow")
             indices_names = [index["name"] for index in indices]
             if "ix_flow_user_id" not in indices_names:
-                batch_op.create_index(
-                    batch_op.f("ix_flow_user_id"), ["user_id"], unique=False
-                )
-            fk_names = [fk["name"] for fk in inspector.get_foreign_keys("flow")]
-            if "fk_flow_user_id_user" not in fk_names:
+                batch_op.create_index(batch_op.f("ix_flow_user_id"), ["user_id"], unique=False)
+            if "fk_flow_user_id_user" not in indices_names:
                 batch_op.create_foreign_key("fk_flow_user_id_user", "user", ["user_id"], ["id"])
 
     except Exception as e:
         logger.exception(f"Error during upgrade: {e}")
         pass
 
+
 def downgrade() -> None:
     conn = op.get_bind()
     inspector = Inspector.from_engine(conn)  # type: ignore
diff --git a/src/backend/langflow/alembic/versions/bc2f01c40e4a_new_fixes.py b/src/backend/base/langflow/alembic/versions/bc2f01c40e4a_new_fixes.py
similarity index 82%
rename from src/backend/langflow/alembic/versions/bc2f01c40e4a_new_fixes.py
rename to src/backend/base/langflow/alembic/versions/bc2f01c40e4a_new_fixes.py
index cfbf74f06ba..e0fa1add836 100644
--- a/src/backend/langflow/alembic/versions/bc2f01c40e4a_new_fixes.py
+++ b/src/backend/base/langflow/alembic/versions/bc2f01c40e4a_new_fixes.py
@@ -33,21 +33,13 @@ def upgrade() -> None:
         if "updated_at" not in flow_columns:
             batch_op.add_column(sa.Column("updated_at", sa.DateTime(), nullable=True))
         if "folder" not in flow_columns:
-            batch_op.add_column(
-                sa.Column("folder", sqlmodel.sql.sqltypes.AutoString(), nullable=True)
-            )
+            batch_op.add_column(sa.Column("folder", sqlmodel.sql.sqltypes.AutoString(), nullable=True))
         if "user_id" not in flow_columns:
-            batch_op.add_column(
-                sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=True)
-            )
+            batch_op.add_column(sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=True))
         if "ix_flow_user_id" not in flow_indexes:
-            batch_op.create_index(
-                batch_op.f("ix_flow_user_id"), ["user_id"], unique=False
-            )
+            batch_op.create_index(batch_op.f("ix_flow_user_id"), ["user_id"], unique=False)
         if "flow_user_id_fkey" not in flow_fks:
-            batch_op.create_foreign_key(
-                "flow_user_id_fkey", "user", ["user_id"], ["id"]
-            )
+            batch_op.create_foreign_key("flow_user_id_fkey", "user", ["user_id"], ["id"])
 
 
 def downgrade() -> None:
diff --git a/src/backend/base/langflow/alembic/versions/c153816fd85f_set_name_and_value_to_not_nullable.py b/src/backend/base/langflow/alembic/versions/c153816fd85f_set_name_and_value_to_not_nullable.py
new file mode 100644
index 00000000000..cec3f60815d
--- /dev/null
+++ b/src/backend/base/langflow/alembic/versions/c153816fd85f_set_name_and_value_to_not_nullable.py
@@ -0,0 +1,52 @@
+"""Set name and value to not nullable
+
+Revision ID: c153816fd85f
+Revises: 1f4d6df60295
+Create Date: 2024-04-30 14:31:23.898995
+
+"""
+
+from typing import Sequence, Union
+
+import sqlalchemy as sa
+from alembic import op
+from sqlalchemy.engine.reflection import Inspector
+
+# revision identifiers, used by Alembic.
+revision: str = "c153816fd85f"
+down_revision: Union[str, None] = "1f4d6df60295"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    # ### commands auto generated by Alembic - please adjust! ###
+    columns = inspector.get_columns("variable")
+    with op.batch_alter_table("variable", schema=None) as batch_op:
+        name_column = [column for column in columns if column["name"] == "name"][0]
+        if name_column and name_column["nullable"]:
+            batch_op.alter_column("name", existing_type=sa.VARCHAR(), nullable=False)
+        value_column = [column for column in columns if column["name"] == "value"][0]
+        if value_column and value_column["nullable"]:
+            batch_op.alter_column("value", existing_type=sa.VARCHAR(), nullable=False)
+
+
+# ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    columns = inspector.get_columns("variable")
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table("variable", schema=None) as batch_op:
+        name_column = [column for column in columns if column["name"] == "name"][0]
+        if name_column and not name_column["nullable"]:
+            batch_op.alter_column("name", existing_type=sa.VARCHAR(), nullable=True)
+        value_column = [column for column in columns if column["name"] == "value"][0]
+        if value_column and not value_column["nullable"]:
+            batch_op.alter_column("name", existing_type=sa.VARCHAR(), nullable=True)
+
+    # ### end Alembic commands ###
diff --git a/src/backend/base/langflow/alembic/versions/e3bc869fa272_fix_nullable.py b/src/backend/base/langflow/alembic/versions/e3bc869fa272_fix_nullable.py
new file mode 100644
index 00000000000..bfcd8e60b6f
--- /dev/null
+++ b/src/backend/base/langflow/alembic/versions/e3bc869fa272_fix_nullable.py
@@ -0,0 +1,68 @@
+"""Fix nullable
+
+Revision ID: e3bc869fa272
+Revises: 1a110b568907
+Create Date: 2024-04-10 19:17:22.820455
+
+"""
+
+from typing import Sequence, Union
+
+import sqlalchemy as sa
+from alembic import op
+from sqlalchemy.engine.reflection import Inspector
+
+# revision identifiers, used by Alembic.
+revision: str = "e3bc869fa272"
+down_revision: Union[str, None] = "1a110b568907"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    table_names = inspector.get_table_names()
+    # ### commands auto generated by Alembic - please adjust! ###
+    if "variable" not in table_names:
+        return
+    columns = [column for column in inspector.get_columns("variable")]
+    column_names = [column["name"] for column in columns]
+
+    with op.batch_alter_table("variable", schema=None) as batch_op:
+        if "created_at" in column_names:
+            created_at_colunmn = next(column for column in columns if column["name"] == "created_at")
+            if created_at_colunmn["nullable"] is False:
+                batch_op.alter_column(
+                    "created_at",
+                    existing_type=sa.TIMESTAMP(timezone=True),
+                    nullable=True,
+                    # existing_server_default expects str | bool | Identity | Computed | None
+                    # sa.text("now()") is not a valid value for existing_server_default
+                    existing_server_default=False,
+                )
+
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    table_names = inspector.get_table_names()
+    # ### commands auto generated by Alembic - please adjust! ###
+    if "variable" not in table_names:
+        return
+    columns = [column for column in inspector.get_columns("variable")]
+    column_names = [column["name"] for column in columns]
+    with op.batch_alter_table("variable", schema=None) as batch_op:
+        if "created_at" in column_names:
+            created_at_colunmn = next(column for column in columns if column["name"] == "created_at")
+            if created_at_colunmn["nullable"] is True:
+                batch_op.alter_column(
+                    "created_at",
+                    existing_type=sa.TIMESTAMP(timezone=True),
+                    nullable=False,
+                    existing_server_default=False,
+                )
+
+    # ### end Alembic commands ###
diff --git a/src/backend/langflow/alembic/versions/eb5866d51fd2_change_columns_to_be_nullable.py b/src/backend/base/langflow/alembic/versions/eb5866d51fd2_change_columns_to_be_nullable.py
similarity index 94%
rename from src/backend/langflow/alembic/versions/eb5866d51fd2_change_columns_to_be_nullable.py
rename to src/backend/base/langflow/alembic/versions/eb5866d51fd2_change_columns_to_be_nullable.py
index 4da04c32560..acb09cd5f4c 100644
--- a/src/backend/langflow/alembic/versions/eb5866d51fd2_change_columns_to_be_nullable.py
+++ b/src/backend/base/langflow/alembic/versions/eb5866d51fd2_change_columns_to_be_nullable.py
@@ -19,7 +19,7 @@
 
 def upgrade() -> None:
     # ### commands auto generated by Alembic - please adjust! ###
-    connection = op.get_bind()
+    connection = op.get_bind()  # noqa
 
     pass
     # ### end Alembic commands ###
diff --git a/src/backend/langflow/alembic/versions/f5ee9749d1a6_user_id_can_be_null_in_flow.py b/src/backend/base/langflow/alembic/versions/f5ee9749d1a6_user_id_can_be_null_in_flow.py
similarity index 79%
rename from src/backend/langflow/alembic/versions/f5ee9749d1a6_user_id_can_be_null_in_flow.py
rename to src/backend/base/langflow/alembic/versions/f5ee9749d1a6_user_id_can_be_null_in_flow.py
index 494de22acf6..842c558571b 100644
--- a/src/backend/langflow/alembic/versions/f5ee9749d1a6_user_id_can_be_null_in_flow.py
+++ b/src/backend/base/langflow/alembic/versions/f5ee9749d1a6_user_id_can_be_null_in_flow.py
@@ -22,9 +22,7 @@ def upgrade() -> None:
     # ### commands auto generated by Alembic - please adjust! ###
     try:
         with op.batch_alter_table("flow", schema=None) as batch_op:
-            batch_op.alter_column(
-                "user_id", existing_type=sa.CHAR(length=32), nullable=True
-            )
+            batch_op.alter_column("user_id", existing_type=sa.CHAR(length=32), nullable=True)
     except Exception as e:
         print(e)
         pass
@@ -36,9 +34,7 @@ def downgrade() -> None:
     # ### commands auto generated by Alembic - please adjust! ###
     try:
         with op.batch_alter_table("flow", schema=None) as batch_op:
-            batch_op.alter_column(
-                "user_id", existing_type=sa.CHAR(length=32), nullable=False
-            )
+            batch_op.alter_column("user_id", existing_type=sa.CHAR(length=32), nullable=False)
     except Exception as e:
         print(e)
         pass
diff --git a/src/backend/langflow/alembic/versions/fd531f8868b1_fix_credential_table.py b/src/backend/base/langflow/alembic/versions/fd531f8868b1_fix_credential_table.py
similarity index 93%
rename from src/backend/langflow/alembic/versions/fd531f8868b1_fix_credential_table.py
rename to src/backend/base/langflow/alembic/versions/fd531f8868b1_fix_credential_table.py
index 77e6acd752f..de69b491da4 100644
--- a/src/backend/langflow/alembic/versions/fd531f8868b1_fix_credential_table.py
+++ b/src/backend/base/langflow/alembic/versions/fd531f8868b1_fix_credential_table.py
@@ -31,9 +31,7 @@ def upgrade() -> None:
     try:
         if "credential" in tables and "fk_credential_user_id" not in foreign_keys_names:
             with op.batch_alter_table("credential", schema=None) as batch_op:
-                batch_op.create_foreign_key(
-                    "fk_credential_user_id", "user", ["user_id"], ["id"]
-                )
+                batch_op.create_foreign_key("fk_credential_user_id", "user", ["user_id"], ["id"])
     except Exception as e:
         print(e)
         pass
diff --git a/src/backend/langflow/api/__init__.py b/src/backend/base/langflow/api/__init__.py
similarity index 100%
rename from src/backend/langflow/api/__init__.py
rename to src/backend/base/langflow/api/__init__.py
diff --git a/src/backend/base/langflow/api/router.py b/src/backend/base/langflow/api/router.py
new file mode 100644
index 00000000000..d5d709738d6
--- /dev/null
+++ b/src/backend/base/langflow/api/router.py
@@ -0,0 +1,33 @@
+# Router for base api
+from fastapi import APIRouter
+
+from langflow.api.v1 import (
+    api_key_router,
+    chat_router,
+    endpoints_router,
+    files_router,
+    flows_router,
+    login_router,
+    monitor_router,
+    store_router,
+    users_router,
+    validate_router,
+    variables_router,
+    folders_router,
+)
+
+router = APIRouter(
+    prefix="/api/v1",
+)
+router.include_router(chat_router)
+router.include_router(endpoints_router)
+router.include_router(validate_router)
+router.include_router(store_router)
+router.include_router(flows_router)
+router.include_router(users_router)
+router.include_router(api_key_router)
+router.include_router(login_router)
+router.include_router(variables_router)
+router.include_router(files_router)
+router.include_router(monitor_router)
+router.include_router(folders_router)
diff --git a/src/backend/base/langflow/api/utils.py b/src/backend/base/langflow/api/utils.py
new file mode 100644
index 00000000000..c4414fc2386
--- /dev/null
+++ b/src/backend/base/langflow/api/utils.py
@@ -0,0 +1,245 @@
+import uuid
+import warnings
+from typing import TYPE_CHECKING, Optional
+
+from fastapi import HTTPException
+from sqlmodel import Session
+
+from langflow.graph.graph.base import Graph
+from langflow.services.chat.service import ChatService
+from langflow.services.database.models.flow import Flow
+from langflow.services.store.schema import StoreComponentCreate
+from langflow.services.store.utils import get_lf_version_from_pypi
+
+if TYPE_CHECKING:
+    from langflow.graph.vertex.base import Vertex
+    from langflow.services.database.models.flow.model import Flow
+
+
+API_WORDS = ["api", "key", "token"]
+
+
+def has_api_terms(word: str):
+    return "api" in word and ("key" in word or ("token" in word and "tokens" not in word))
+
+
+def remove_api_keys(flow: dict):
+    """Remove api keys from flow data."""
+    if flow.get("data") and flow["data"].get("nodes"):
+        for node in flow["data"]["nodes"]:
+            node_data = node.get("data").get("node")
+            template = node_data.get("template")
+            for value in template.values():
+                if isinstance(value, dict) and has_api_terms(value["name"]) and value.get("password"):
+                    value["value"] = None
+
+    return flow
+
+
+def build_input_keys_response(langchain_object, artifacts):
+    """Build the input keys response."""
+
+    input_keys_response = {
+        "input_keys": {key: "" for key in langchain_object.input_keys},
+        "memory_keys": [],
+        "handle_keys": artifacts.get("handle_keys", []),
+    }
+
+    # Set the input keys values from artifacts
+    for key, value in artifacts.items():
+        if key in input_keys_response["input_keys"]:
+            input_keys_response["input_keys"][key] = value
+    # If the object has memory, that memory will have a memory_variables attribute
+    # memory variables should be removed from the input keys
+    if hasattr(langchain_object, "memory") and hasattr(langchain_object.memory, "memory_variables"):
+        # Remove memory variables from input keys
+        input_keys_response["input_keys"] = {
+            key: value
+            for key, value in input_keys_response["input_keys"].items()
+            if key not in langchain_object.memory.memory_variables
+        }
+        # Add memory variables to memory_keys
+        input_keys_response["memory_keys"] = langchain_object.memory.memory_variables
+
+    if hasattr(langchain_object, "prompt") and hasattr(langchain_object.prompt, "template"):
+        input_keys_response["template"] = langchain_object.prompt.template
+
+    return input_keys_response
+
+
+def validate_is_component(flows: list["Flow"]):
+    for flow in flows:
+        if not flow.data or flow.is_component is not None:
+            continue
+
+        is_component = get_is_component_from_data(flow.data)
+        if is_component is not None:
+            flow.is_component = is_component
+        else:
+            flow.is_component = len(flow.data.get("nodes", [])) == 1
+    return flows
+
+
+def get_is_component_from_data(data: dict):
+    """Returns True if the data is a component."""
+    return data.get("is_component")
+
+
+async def check_langflow_version(component: StoreComponentCreate):
+    from langflow.version.version import __version__ as current_version  # type: ignore
+
+    if not component.last_tested_version:
+        component.last_tested_version = current_version
+
+    langflow_version = get_lf_version_from_pypi()
+    if langflow_version is None:
+        raise HTTPException(status_code=500, detail="Unable to verify the latest version of Langflow")
+    elif langflow_version != component.last_tested_version:
+        warnings.warn(
+            f"Your version of Langflow ({component.last_tested_version}) is outdated. "
+            f"Please update to the latest version ({langflow_version}) and try again."
+        )
+
+
+def format_elapsed_time(elapsed_time: float) -> str:
+    """Format elapsed time to a human-readable format coming from perf_counter().
+
+    - Less than 1 second: returns milliseconds
+    - Less than 1 minute: returns seconds rounded to 2 decimals
+    - 1 minute or more: returns minutes and seconds
+    """
+    if elapsed_time < 1:
+        milliseconds = int(round(elapsed_time * 1000))
+        return f"{milliseconds} ms"
+    elif elapsed_time < 60:
+        seconds = round(elapsed_time, 2)
+        unit = "second" if seconds == 1 else "seconds"
+        return f"{seconds} {unit}"
+    else:
+        minutes = int(elapsed_time // 60)
+        seconds = round(elapsed_time % 60, 2)
+        minutes_unit = "minute" if minutes == 1 else "minutes"
+        seconds_unit = "second" if seconds == 1 else "seconds"
+        return f"{minutes} {minutes_unit}, {seconds} {seconds_unit}"
+
+
+async def build_graph_from_db(flow_id: str, session: Session, chat_service: "ChatService"):
+    """Build and cache the graph."""
+    flow: Optional[Flow] = session.get(Flow, flow_id)
+    if not flow or not flow.data:
+        raise ValueError("Invalid flow ID")
+    graph = Graph.from_payload(flow.data, flow_id, flow_name=flow.name, user_id=str(flow.user_id))
+    for vertex_id in graph._has_session_id_vertices:
+        vertex = graph.get_vertex(vertex_id)
+        if vertex is None:
+            raise ValueError(f"Vertex {vertex_id} not found")
+        if not vertex._raw_params.get("session_id"):
+            vertex.update_raw_params({"session_id": flow_id}, overwrite=True)
+
+    run_id = uuid.uuid4()
+    graph.set_run_id(run_id)
+    graph.set_run_name()
+    await graph.initialize_run()
+    await chat_service.set_cache(flow_id, graph)
+    return graph
+
+
+async def build_and_cache_graph_from_data(
+    flow_id: str,
+    chat_service: "ChatService",
+    graph_data: dict,
+):  # -> Graph | Any:
+    """Build and cache the graph."""
+    graph = Graph.from_payload(graph_data, flow_id)
+    await chat_service.set_cache(flow_id, graph)
+    return graph
+
+
+def format_syntax_error_message(exc: SyntaxError) -> str:
+    """Format a SyntaxError message for returning to the frontend."""
+    if exc.text is None:
+        return f"Syntax error in code. Error on line {exc.lineno}"
+    return f"Syntax error in code. Error on line {exc.lineno}: {exc.text.strip()}"
+
+
+def get_causing_exception(exc: BaseException) -> BaseException:
+    """Get the causing exception from an exception."""
+    if hasattr(exc, "__cause__") and exc.__cause__:
+        return get_causing_exception(exc.__cause__)
+    return exc
+
+
+def format_exception_message(exc: Exception) -> str:
+    """Format an exception message for returning to the frontend."""
+    # We need to check if the __cause__ is a SyntaxError
+    # If it is, we need to return the message of the SyntaxError
+    causing_exception = get_causing_exception(exc)
+    if isinstance(causing_exception, SyntaxError):
+        return format_syntax_error_message(causing_exception)
+    return str(exc)
+
+
+async def get_next_runnable_vertices(
+    graph: Graph,
+    vertex: "Vertex",
+    vertex_id: str,
+    chat_service: ChatService,
+    flow_id: str,
+):
+    """
+    Retrieves the next runnable vertices in the graph for a given vertex.
+
+    Args:
+        graph (Graph): The graph object representing the flow.
+        vertex (Vertex): The current vertex.
+        vertex_id (str): The ID of the current vertex.
+        chat_service (ChatService): The chat service object.
+        flow_id (str): The ID of the flow.
+
+    Returns:
+        list: A list of IDs of the next runnable vertices.
+
+    """
+    async with chat_service._cache_locks[flow_id] as lock:
+        graph.remove_from_predecessors(vertex_id)
+        direct_successors_ready = [v for v in vertex.successors_ids if graph.is_vertex_runnable(v)]
+        if not direct_successors_ready:
+            # No direct successors ready, look for runnable predecessors of successors
+            next_runnable_vertices = graph.find_runnable_predecessors_for_successors(vertex_id)
+        else:
+            next_runnable_vertices = direct_successors_ready
+
+        for v_id in set(next_runnable_vertices):  # Use set to avoid duplicates
+            graph.vertices_to_run.remove(v_id)
+            graph.remove_from_predecessors(v_id)
+        await chat_service.set_cache(key=flow_id, data=graph, lock=lock)
+    return next_runnable_vertices
+
+
+def get_top_level_vertices(graph, vertices_ids):
+    """
+    Retrieves the top-level vertices from the given graph based on the provided vertex IDs.
+
+    Args:
+        graph (Graph): The graph object containing the vertices.
+        vertices_ids (list): A list of vertex IDs.
+
+    Returns:
+        list: A list of top-level vertex IDs.
+
+    """
+    top_level_vertices = []
+    for vertex_id in vertices_ids:
+        vertex = graph.get_vertex(vertex_id)
+        if vertex.parent_is_top_level:
+            top_level_vertices.append(vertex.parent_node_id)
+        else:
+            top_level_vertices.append(vertex_id)
+    return top_level_vertices
+
+
+def parse_exception(exc):
+    """Parse the exception message."""
+    if hasattr(exc, "body"):
+        return exc.body["message"]
+    return str(exc)
diff --git a/src/backend/base/langflow/api/v1/__init__.py b/src/backend/base/langflow/api/v1/__init__.py
new file mode 100644
index 00000000000..efc55cba8a4
--- /dev/null
+++ b/src/backend/base/langflow/api/v1/__init__.py
@@ -0,0 +1,27 @@
+from langflow.api.v1.api_key import router as api_key_router
+from langflow.api.v1.chat import router as chat_router
+from langflow.api.v1.endpoints import router as endpoints_router
+from langflow.api.v1.files import router as files_router
+from langflow.api.v1.flows import router as flows_router
+from langflow.api.v1.login import router as login_router
+from langflow.api.v1.monitor import router as monitor_router
+from langflow.api.v1.store import router as store_router
+from langflow.api.v1.users import router as users_router
+from langflow.api.v1.validate import router as validate_router
+from langflow.api.v1.variable import router as variables_router
+from langflow.api.v1.folders import router as folders_router
+
+__all__ = [
+    "chat_router",
+    "endpoints_router",
+    "store_router",
+    "validate_router",
+    "flows_router",
+    "users_router",
+    "api_key_router",
+    "login_router",
+    "variables_router",
+    "monitor_router",
+    "files_router",
+    "folders_router",
+]
diff --git a/src/backend/langflow/api/v1/api_key.py b/src/backend/base/langflow/api/v1/api_key.py
similarity index 89%
rename from src/backend/langflow/api/v1/api_key.py
rename to src/backend/base/langflow/api/v1/api_key.py
index 48cf7d1ca0c..77466960ddf 100644
--- a/src/backend/langflow/api/v1/api_key.py
+++ b/src/backend/base/langflow/api/v1/api_key.py
@@ -8,20 +8,10 @@
 from langflow.services.auth import utils as auth_utils
 
 # Assuming you have these methods in your service layer
-from langflow.services.database.models.api_key.crud import (
-    create_api_key,
-    delete_api_key,
-    get_api_keys,
-)
-from langflow.services.database.models.api_key.model import (
-    ApiKeyCreate,
-    UnmaskedApiKeyRead,
-)
+from langflow.services.database.models.api_key.crud import create_api_key, delete_api_key, get_api_keys
+from langflow.services.database.models.api_key.model import ApiKeyCreate, UnmaskedApiKeyRead
 from langflow.services.database.models.user.model import User
-from langflow.services.deps import (
-    get_session,
-    get_settings_service,
-)
+from langflow.services.deps import get_session, get_settings_service
 
 if TYPE_CHECKING:
     pass
diff --git a/src/backend/base/langflow/api/v1/base.py b/src/backend/base/langflow/api/v1/base.py
new file mode 100644
index 00000000000..b040d51c4a2
--- /dev/null
+++ b/src/backend/base/langflow/api/v1/base.py
@@ -0,0 +1,165 @@
+from typing import Optional
+
+from pydantic import BaseModel, field_validator, model_serializer
+
+from langflow.template.frontend_node.base import FrontendNode
+
+
+class CacheResponse(BaseModel):
+    data: dict
+
+
+class Code(BaseModel):
+    code: str
+
+
+class FrontendNodeRequest(FrontendNode):
+    template: dict  # type: ignore
+
+    @model_serializer(mode="wrap")
+    def serialize_model(self, handler):
+        # Override the default serialization method in FrontendNode
+        # because we don't need the name in the response (i.e. {name: {}})
+        return handler(self)
+
+
+class ValidatePromptRequest(BaseModel):
+    name: str
+    template: str
+    custom_fields: Optional[dict] = None
+    frontend_node: Optional[FrontendNodeRequest] = None
+
+
+# Build ValidationResponse class for {"imports": {"errors": []}, "function": {"errors": []}}
+class CodeValidationResponse(BaseModel):
+    imports: dict
+    function: dict
+
+    @field_validator("imports")
+    @classmethod
+    def validate_imports(cls, v):
+        return v or {"errors": []}
+
+    @field_validator("function")
+    @classmethod
+    def validate_function(cls, v):
+        return v or {"errors": []}
+
+
+class PromptValidationResponse(BaseModel):
+    input_variables: list
+    # object return for tweak call
+    frontend_node: Optional[FrontendNodeRequest] = None
+
+
+INVALID_CHARACTERS = {
+    " ",
+    ",",
+    ".",
+    ":",
+    ";",
+    "!",
+    "?",
+    "/",
+    "\\",
+    "(",
+    ")",
+    "[",
+    "]",
+}
+
+INVALID_NAMES = {
+    "input_variables",
+    "output_parser",
+    "partial_variables",
+    "template",
+    "template_format",
+    "validate_template",
+}
+
+
+def is_json_like(var):
+    if var.startswith("{{") and var.endswith("}}"):
+        # If it is a double brance variable
+        # we don't want to validate any of its content
+        return True
+    # the above doesn't work on all cases because the json string can be multiline
+    # or indented which can add \n or spaces at the start or end of the string
+    # test_case_3 new_var == '\n{{\n    "test": "hello",\n    "text": "world"\n}}\n'
+    # what we can do is to remove the \n and spaces from the start and end of the string
+    # and then check if the string starts with {{ and ends with }}
+    var = var.strip()
+    var = var.replace("\n", "")
+    var = var.replace(" ", "")
+    # Now it should be a valid json string
+    return var.startswith("{{") and var.endswith("}}")
+
+
+def fix_variable(var, invalid_chars, wrong_variables):
+    if not var:
+        return var, invalid_chars, wrong_variables
+    new_var = var
+
+    # Handle variables starting with a number
+    if var[0].isdigit():
+        invalid_chars.append(var[0])
+        new_var, invalid_chars, wrong_variables = fix_variable(var[1:], invalid_chars, wrong_variables)
+
+    # Temporarily replace {{ and }} to avoid treating them as invalid
+    new_var = new_var.replace("{{", "ᴛᴇᴍᴘᴏᴘᴇɴ").replace("}}", "ᴛᴇᴍᴘᴄʟᴏsᴇ")
+
+    # Remove invalid characters
+    for char in new_var:
+        if char in INVALID_CHARACTERS:
+            invalid_chars.append(char)
+            new_var = new_var.replace(char, "")
+            if var not in wrong_variables:  # Avoid duplicating entries
+                wrong_variables.append(var)
+
+    # Restore {{ and }}
+    new_var = new_var.replace("ᴛᴇᴍᴘᴏᴘᴇɴ", "{{").replace("ᴛᴇᴍᴘᴄʟᴏsᴇ", "}}")
+
+    return new_var, invalid_chars, wrong_variables
+
+
+def check_variable(var, invalid_chars, wrong_variables, empty_variables):
+    if any(char in invalid_chars for char in var):
+        wrong_variables.append(var)
+    elif var == "":
+        empty_variables.append(var)
+    return wrong_variables, empty_variables
+
+
+def check_for_errors(input_variables, fixed_variables, wrong_variables, empty_variables):
+    if any(var for var in input_variables if var not in fixed_variables):
+        error_message = (
+            f"Error: Input variables contain invalid characters or formats. \n"
+            f"Invalid variables: {', '.join(wrong_variables)}.\n"
+            f"Empty variables: {', '.join(empty_variables)}. \n"
+            f"Fixed variables: {', '.join(fixed_variables)}."
+        )
+        raise ValueError(error_message)
+
+
+def check_input_variables(input_variables):
+    invalid_chars = []
+    fixed_variables = []
+    wrong_variables = []
+    empty_variables = []
+    variables_to_check = []
+
+    for var in input_variables:
+        # First, let's check if the variable is a JSON string
+        # because if it is, it won't be considered a variable
+        # and we don't need to validate it
+        if is_json_like(var):
+            continue
+
+        new_var, wrong_variables, empty_variables = fix_variable(var, invalid_chars, wrong_variables)
+        wrong_variables, empty_variables = check_variable(var, INVALID_CHARACTERS, wrong_variables, empty_variables)
+        fixed_variables.append(new_var)
+        variables_to_check.append(var)
+
+    check_for_errors(variables_to_check, fixed_variables, wrong_variables, empty_variables)
+
+    return fixed_variables
diff --git a/src/backend/base/langflow/api/v1/callback.py b/src/backend/base/langflow/api/v1/callback.py
new file mode 100644
index 00000000000..6a60ea037dc
--- /dev/null
+++ b/src/backend/base/langflow/api/v1/callback.py
@@ -0,0 +1,121 @@
+from typing import TYPE_CHECKING, Any, Dict, List, Optional
+from uuid import UUID
+from langchain_core.callbacks.base import AsyncCallbackHandler
+from loguru import logger
+
+from langflow.api.v1.schemas import ChatResponse, PromptResponse
+from langflow.services.deps import get_chat_service, get_socket_service
+from langflow.utils.util import remove_ansi_escape_codes
+from langchain_core.agents import AgentAction, AgentFinish
+
+if TYPE_CHECKING:
+    from langflow.services.socket.service import SocketIOService
+
+
+# https://github.com/hwchase17/chat-langchain/blob/master/callback.py
+class AsyncStreamingLLMCallbackHandleSIO(AsyncCallbackHandler):
+    """Callback handler for streaming LLM responses."""
+
+    @property
+    def ignore_chain(self) -> bool:
+        """Whether to ignore chain callbacks."""
+        return False
+
+    def __init__(self, session_id: str):
+        self.chat_service = get_chat_service()
+        self.client_id = session_id
+        self.socketio_service: "SocketIOService" = get_socket_service()
+        self.sid = session_id
+        # self.socketio_service = self.chat_service.active_connections[self.client_id]
+
+    async def on_llm_new_token(self, token: str, **kwargs: Any) -> None:
+        resp = ChatResponse(message=token, type="stream", intermediate_steps="")
+        await self.socketio_service.emit_token(to=self.sid, data=resp.model_dump())
+
+    async def on_tool_start(self, serialized: Dict[str, Any], input_str: str, **kwargs: Any) -> Any:
+        """Run when tool starts running."""
+        resp = ChatResponse(
+            message="",
+            type="stream",
+            intermediate_steps=f"Tool input: {input_str}",
+        )
+        await self.socketio_service.emit_token(to=self.sid, data=resp.model_dump())
+
+    async def on_tool_end(self, output: str, **kwargs: Any) -> Any:
+        """Run when tool ends running."""
+        observation_prefix = kwargs.get("observation_prefix", "Tool output: ")
+        split_output = output.split()
+        first_word = split_output[0]
+        rest_of_output = split_output[1:]
+        # Create a formatted message.
+        intermediate_steps = f"{observation_prefix}{first_word}"
+
+        # Create a ChatResponse instance.
+        resp = ChatResponse(
+            message="",
+            type="stream",
+            intermediate_steps=intermediate_steps,
+        )
+        rest_of_resps = [
+            ChatResponse(
+                message="",
+                type="stream",
+                intermediate_steps=f"{word}",
+            )
+            for word in rest_of_output
+        ]
+        resps = [resp] + rest_of_resps
+        # Try to send the response, handle potential errors.
+
+        try:
+            # This is to emulate the stream of tokens
+            for resp in resps:
+                await self.socketio_service.emit_token(to=self.sid, data=resp.model_dump())
+        except Exception as exc:
+            logger.error(f"Error sending response: {exc}")
+
+    async def on_tool_error(
+        self,
+        error: BaseException,
+        *,
+        run_id: UUID,
+        parent_run_id: Optional[UUID] = None,
+        tags: Optional[List[str]] = None,
+        **kwargs: Any,
+    ) -> None:
+        """Run when tool errors."""
+
+    async def on_text(self, text: str, **kwargs: Any) -> Any:
+        """Run on arbitrary text."""
+        # This runs when first sending the prompt
+        # to the LLM, adding it will send the final prompt
+        # to the frontend
+        if "Prompt after formatting" in text:
+            text = text.replace("Prompt after formatting:\n", "")
+            text = remove_ansi_escape_codes(text)
+            resp = PromptResponse(
+                prompt=text,
+            )
+            await self.socketio_service.emit_message(to=self.sid, data=resp.model_dump())
+
+    async def on_agent_action(self, action: AgentAction, **kwargs: Any):
+        log = f"Thought: {action.log}"
+        # if there are line breaks, split them and send them
+        # as separate messages
+        if "\n" in log:
+            logs = log.split("\n")
+            for log in logs:
+                resp = ChatResponse(message="", type="stream", intermediate_steps=log)
+                await self.socketio_service.emit_token(to=self.sid, data=resp.model_dump())
+        else:
+            resp = ChatResponse(message="", type="stream", intermediate_steps=log)
+            await self.socketio_service.emit_token(to=self.sid, data=resp.model_dump())
+
+    async def on_agent_finish(self, finish: AgentFinish, **kwargs: Any) -> Any:
+        """Run on agent end."""
+        resp = ChatResponse(
+            message="",
+            type="stream",
+            intermediate_steps=finish.log,
+        )
+        await self.socketio_service.emit_token(to=self.sid, data=resp.model_dump())
diff --git a/src/backend/base/langflow/api/v1/chat.py b/src/backend/base/langflow/api/v1/chat.py
new file mode 100644
index 00000000000..dc44d498b5e
--- /dev/null
+++ b/src/backend/base/langflow/api/v1/chat.py
@@ -0,0 +1,401 @@
+import time
+import traceback
+import uuid
+from functools import partial
+from typing import TYPE_CHECKING, Annotated, Optional
+
+from fastapi import APIRouter, BackgroundTasks, Body, Depends, HTTPException
+from fastapi.responses import StreamingResponse
+from loguru import logger
+
+from langflow.api.utils import (
+    build_and_cache_graph_from_data,
+    build_graph_from_db,
+    format_elapsed_time,
+    format_exception_message,
+    get_top_level_vertices,
+    parse_exception,
+)
+from langflow.api.v1.schemas import (
+    FlowDataRequest,
+    InputValueRequest,
+    ResultDataResponse,
+    StreamData,
+    VertexBuildResponse,
+    VerticesOrderResponse,
+)
+from langflow.exceptions.component import ComponentBuildException
+from langflow.graph.graph.base import Graph
+from langflow.schema.schema import OutputLog
+from langflow.services.auth.utils import get_current_active_user
+from langflow.services.chat.service import ChatService
+from langflow.services.deps import get_chat_service, get_session, get_session_service, get_telemetry_service
+from langflow.services.monitor.utils import log_vertex_build
+from langflow.services.telemetry.schema import ComponentPayload, PlaygroundPayload
+from langflow.services.telemetry.service import TelemetryService
+
+if TYPE_CHECKING:
+    from langflow.graph.vertex.types import InterfaceVertex
+    from langflow.services.session.service import SessionService
+
+router = APIRouter(tags=["Chat"])
+
+
+async def try_running_celery_task(vertex, user_id):
+    # Try running the task in celery
+    # and set the task_id to the local vertex
+    # if it fails, run the task locally
+    try:
+        from langflow.worker import build_vertex
+
+        task = build_vertex.delay(vertex)
+        vertex.task_id = task.id
+    except Exception as exc:
+        logger.debug(f"Error running task in celery: {exc}")
+        vertex.task_id = None
+        await vertex.build(user_id=user_id)
+    return vertex
+
+
+@router.post("/build/{flow_id}/vertices", response_model=VerticesOrderResponse)
+async def retrieve_vertices_order(
+    flow_id: uuid.UUID,
+    background_tasks: BackgroundTasks,
+    data: Optional[Annotated[Optional[FlowDataRequest], Body(embed=True)]] = None,
+    stop_component_id: Optional[str] = None,
+    start_component_id: Optional[str] = None,
+    chat_service: "ChatService" = Depends(get_chat_service),
+    session=Depends(get_session),
+    telemetry_service: "TelemetryService" = Depends(get_telemetry_service),
+):
+    """
+    Retrieve the vertices order for a given flow.
+
+    Args:
+        flow_id (str): The ID of the flow.
+        data (Optional[FlowDataRequest], optional): The flow data. Defaults to None.
+        stop_component_id (str, optional): The ID of the stop component. Defaults to None.
+        start_component_id (str, optional): The ID of the start component. Defaults to None.
+        chat_service (ChatService, optional): The chat service dependency. Defaults to Depends(get_chat_service).
+        session (Session, optional): The session dependency. Defaults to Depends(get_session).
+
+    Returns:
+        VerticesOrderResponse: The response containing the ordered vertex IDs and the run ID.
+
+    Raises:
+        HTTPException: If there is an error checking the build status.
+    """
+    start_time = time.perf_counter()
+    components_count = None
+    try:
+        flow_id_str = str(flow_id)
+        # First, we need to check if the flow_id is in the cache
+        if not data:
+            graph = await build_graph_from_db(flow_id=flow_id_str, session=session, chat_service=chat_service)
+        else:
+            graph = await build_and_cache_graph_from_data(
+                flow_id=flow_id_str, graph_data=data.model_dump(), chat_service=chat_service
+            )
+        graph.validate_stream()
+        if stop_component_id or start_component_id:
+            try:
+                first_layer = graph.sort_vertices(stop_component_id, start_component_id)
+            except Exception as exc:
+                logger.error(exc)
+                first_layer = graph.sort_vertices()
+        else:
+            first_layer = graph.sort_vertices()
+        # When we send vertices to the frontend
+        # we need to remove them from the predecessors
+        # so they are not considered for building again
+        # which duplicates the results
+        for vertex_id in first_layer:
+            graph.remove_from_predecessors(vertex_id)
+
+        # Now vertices is a list of lists
+        # We need to get the id of each vertex
+        # and return the same structure but only with the ids
+        components_count = len(graph.vertices)
+        vertices_to_run = list(graph.vertices_to_run) + get_top_level_vertices(graph, graph.vertices_to_run)
+        await chat_service.set_cache(str(flow_id), graph)
+        background_tasks.add_task(
+            telemetry_service.log_package_playground,
+            PlaygroundPayload(
+                seconds=int(time.perf_counter() - start_time),
+                componentCount=components_count,
+                success=True,
+            ),
+        )
+        return VerticesOrderResponse(ids=first_layer, run_id=graph._run_id, vertices_to_run=vertices_to_run)
+    except Exception as exc:
+        background_tasks.add_task(
+            telemetry_service.log_package_playground,
+            PlaygroundPayload(
+                seconds=int(time.perf_counter() - start_time),
+                componentCount=components_count,
+                success=False,
+                errorMessage=str(exc),
+            ),
+        )
+        if "stream or streaming set to True" in str(exc):
+            raise HTTPException(status_code=400, detail=str(exc))
+        logger.error(f"Error checking build status: {exc}")
+        logger.exception(exc)
+        raise HTTPException(status_code=500, detail=str(exc)) from exc
+
+
+@router.post("/build/{flow_id}/vertices/{vertex_id}")
+async def build_vertex(
+    flow_id: uuid.UUID,
+    vertex_id: str,
+    background_tasks: BackgroundTasks,
+    inputs: Annotated[Optional[InputValueRequest], Body(embed=True)] = None,
+    files: Optional[list[str]] = None,
+    chat_service: "ChatService" = Depends(get_chat_service),
+    current_user=Depends(get_current_active_user),
+    telemetry_service: "TelemetryService" = Depends(get_telemetry_service),
+):
+    """Build a vertex instead of the entire graph.
+
+    Args:
+        flow_id (str): The ID of the flow.
+        vertex_id (str): The ID of the vertex to build.
+        background_tasks (BackgroundTasks): The background tasks object for logging.
+        inputs (Optional[InputValueRequest], optional): The input values for the vertex. Defaults to None.
+        chat_service (ChatService, optional): The chat service dependency. Defaults to Depends(get_chat_service).
+        current_user (Any, optional): The current user dependency. Defaults to Depends(get_current_active_user).
+
+    Returns:
+        VertexBuildResponse: The response containing the built vertex information.
+
+    Raises:
+        HTTPException: If there is an error building the vertex.
+
+    """
+    flow_id_str = str(flow_id)
+
+    next_runnable_vertices = []
+    top_level_vertices = []
+    start_time = time.perf_counter()
+    try:
+        cache = await chat_service.get_cache(flow_id_str)
+        if not cache:
+            # If there's no cache
+            logger.warning(f"No cache found for {flow_id_str}. Building graph starting at {vertex_id}")
+            graph: "Graph" = await build_graph_from_db(
+                flow_id=flow_id_str, session=next(get_session()), chat_service=chat_service
+            )
+        else:
+            graph = cache.get("result")
+            await graph.initialize_run()
+        vertex = graph.get_vertex(vertex_id)
+
+        try:
+            lock = chat_service._cache_locks[flow_id_str]
+            (
+                result_dict,
+                params,
+                valid,
+                artifacts,
+                vertex,
+            ) = await graph.build_vertex(
+                chat_service=chat_service,
+                vertex_id=vertex_id,
+                user_id=current_user.id,
+                inputs_dict=inputs.model_dump() if inputs else {},
+                files=files,
+            )
+            set_cache_coro = partial(get_chat_service().set_cache, key=flow_id_str)
+            next_runnable_vertices = await graph.run_manager.get_next_runnable_vertices(
+                lock, set_cache_coro, graph=graph, vertex=vertex, cache=False
+            )
+            top_level_vertices = graph.run_manager.get_top_level_vertices(graph, next_runnable_vertices)
+
+            result_data_response = ResultDataResponse(**result_dict.model_dump())
+
+            result_data_response = ResultDataResponse.model_validate(result_dict, from_attributes=True)
+        except Exception as exc:
+            if isinstance(exc, ComponentBuildException):
+                params = exc.message
+                tb = exc.formatted_traceback
+            else:
+                tb = traceback.format_exc()
+                logger.exception(f"Error building Component: {exc}")
+                params = format_exception_message(exc)
+            message = {"errorMessage": params, "stackTrace": tb}
+            valid = False
+            output_label = vertex.outputs[0]["name"] if vertex.outputs else "output"
+            outputs = {output_label: OutputLog(message=message, type="error")}
+            result_data_response = ResultDataResponse(results={}, outputs=outputs)
+            artifacts = {}
+            background_tasks.add_task(graph.end_all_traces, error=message["errorMessage"])
+            # If there's an error building the vertex
+            # we need to clear the cache
+            await chat_service.clear_cache(flow_id_str)
+
+        result_data_response.message = artifacts
+
+        # Log the vertex build
+        if not vertex.will_stream:
+            background_tasks.add_task(
+                log_vertex_build,
+                flow_id=flow_id_str,
+                vertex_id=vertex_id,
+                valid=valid,
+                params=params,
+                data=result_data_response,
+                artifacts=artifacts,
+            )
+
+        timedelta = time.perf_counter() - start_time
+        duration = format_elapsed_time(timedelta)
+        result_data_response.duration = duration
+        result_data_response.timedelta = timedelta
+        vertex.add_build_time(timedelta)
+        inactivated_vertices = list(graph.inactivated_vertices)
+        graph.reset_inactivated_vertices()
+        graph.reset_activated_vertices()
+
+        await chat_service.set_cache(flow_id_str, graph)
+
+        # graph.stop_vertex tells us if the user asked
+        # to stop the build of the graph at a certain vertex
+        # if it is in next_vertices_ids, we need to remove other
+        # vertices from next_vertices_ids
+        if graph.stop_vertex and graph.stop_vertex in next_runnable_vertices:
+            next_runnable_vertices = [graph.stop_vertex]
+
+        if not next_runnable_vertices:
+            background_tasks.add_task(graph.end_all_traces)
+
+        build_response = VertexBuildResponse(
+            inactivated_vertices=inactivated_vertices,
+            next_vertices_ids=next_runnable_vertices,
+            top_level_vertices=top_level_vertices,
+            valid=valid,
+            params=params,
+            id=vertex.id,
+            data=result_data_response,
+        )
+        background_tasks.add_task(
+            telemetry_service.log_package_component,
+            ComponentPayload(
+                name=vertex_id,
+                seconds=int(time.perf_counter() - start_time),
+                success=valid,
+                errorMessage=params,
+            ),
+        )
+        return build_response
+    except Exception as exc:
+        background_tasks.add_task(
+            telemetry_service.log_package_component,
+            ComponentPayload(
+                name=vertex_id,
+                seconds=int(time.perf_counter() - start_time),
+                success=False,
+                errorMessage=str(exc),
+            ),
+        )
+        logger.error(f"Error building Component:\n\n{exc}")
+        logger.exception(exc)
+        message = parse_exception(exc)
+        raise HTTPException(status_code=500, detail=message) from exc
+
+
+@router.get("/build/{flow_id}/{vertex_id}/stream", response_class=StreamingResponse)
+async def build_vertex_stream(
+    flow_id: uuid.UUID,
+    vertex_id: str,
+    session_id: Optional[str] = None,
+    chat_service: "ChatService" = Depends(get_chat_service),
+    session_service: "SessionService" = Depends(get_session_service),
+):
+    """Build a vertex instead of the entire graph.
+
+    This function is responsible for building a single vertex instead of the entire graph.
+    It takes the `flow_id` and `vertex_id` as required parameters, and an optional `session_id`.
+    It also depends on the `ChatService` and `SessionService` services.
+
+    If `session_id` is not provided, it retrieves the graph from the cache using the `chat_service`.
+    If `session_id` is provided, it loads the session data using the `session_service`.
+
+    Once the graph is obtained, it retrieves the specified vertex using the `vertex_id`.
+    If the vertex does not support streaming, an error is raised.
+    If the vertex has a built result, it sends the result as a chunk.
+    If the vertex is not frozen or not built, it streams the vertex data.
+    If the vertex has a result, it sends the result as a chunk.
+    If none of the above conditions are met, an error is raised.
+
+    If any exception occurs during the process, an error message is sent.
+    Finally, the stream is closed.
+
+    Returns:
+        A `StreamingResponse` object with the streamed vertex data in text/event-stream format.
+
+    Raises:
+        HTTPException: If an error occurs while building the vertex.
+    """
+    try:
+        flow_id_str = str(flow_id)
+
+        async def stream_vertex():
+            try:
+                cache = await chat_service.get_cache(flow_id_str)
+                if not cache:
+                    # If there's no cache
+                    raise ValueError(f"No cache found for {flow_id_str}.")
+                else:
+                    graph = cache.get("result")
+
+                vertex: "InterfaceVertex" = graph.get_vertex(vertex_id)
+                if not hasattr(vertex, "stream"):
+                    raise ValueError(f"Vertex {vertex_id} does not support streaming")
+                if isinstance(vertex._built_result, str) and vertex._built_result:
+                    stream_data = StreamData(
+                        event="message",
+                        data={"message": f"Streaming vertex {vertex_id}"},
+                    )
+                    yield str(stream_data)
+                    stream_data = StreamData(
+                        event="message",
+                        data={"chunk": vertex._built_result},
+                    )
+                    yield str(stream_data)
+
+                elif not vertex.frozen or not vertex._built:
+                    logger.debug(f"Streaming vertex {vertex_id}")
+                    stream_data = StreamData(
+                        event="message",
+                        data={"message": f"Streaming vertex {vertex_id}"},
+                    )
+                    yield str(stream_data)
+                    async for chunk in vertex.stream():
+                        stream_data = StreamData(
+                            event="message",
+                            data={"chunk": chunk},
+                        )
+                        yield str(stream_data)
+                elif vertex.result is not None:
+                    stream_data = StreamData(
+                        event="message",
+                        data={"chunk": vertex._built_result},
+                    )
+                    yield str(stream_data)
+                else:
+                    raise ValueError(f"No result found for vertex {vertex_id}")
+
+            except Exception as exc:
+                logger.exception(f"Error building Component: {exc}")
+                exc_message = parse_exception(exc)
+                if exc_message == "The message must be an iterator or an async iterator.":
+                    exc_message = "This stream has already been closed."
+                yield str(StreamData(event="error", data={"error": exc_message}))
+            finally:
+                logger.debug("Closing stream")
+                await chat_service.set_cache(flow_id_str, graph)
+                yield str(StreamData(event="close", data={"message": "Stream closed"}))
+
+        return StreamingResponse(stream_vertex(), media_type="text/event-stream")
+    except Exception as exc:
+        raise HTTPException(status_code=500, detail="Error building Component") from exc
diff --git a/src/backend/base/langflow/api/v1/endpoints.py b/src/backend/base/langflow/api/v1/endpoints.py
new file mode 100644
index 00000000000..e5c648d1f36
--- /dev/null
+++ b/src/backend/base/langflow/api/v1/endpoints.py
@@ -0,0 +1,547 @@
+import time
+from asyncio import Lock
+from http import HTTPStatus
+from typing import TYPE_CHECKING, Annotated, List, Optional, Union
+from uuid import UUID
+
+import sqlalchemy as sa
+from fastapi import APIRouter, BackgroundTasks, Body, Depends, HTTPException, Request, UploadFile, status
+from loguru import logger
+from sqlmodel import Session, select
+
+from langflow.api.v1.schemas import (
+    ConfigResponse,
+    CustomComponentRequest,
+    CustomComponentResponse,
+    InputValueRequest,
+    ProcessResponse,
+    RunResponse,
+    SimplifiedAPIRequest,
+    TaskStatusResponse,
+    UpdateCustomComponentRequest,
+    UploadFileResponse,
+)
+from langflow.custom.custom_component.component import Component
+from langflow.custom.utils import build_custom_component_template
+from langflow.graph.graph.base import Graph
+from langflow.graph.schema import RunOutputs
+from langflow.helpers.flow import get_flow_by_id_or_endpoint_name
+from langflow.processing.process import process_tweaks, run_graph_internal
+from langflow.schema.graph import Tweaks
+from langflow.services.auth.utils import api_key_security, get_current_active_user
+from langflow.services.cache.utils import save_uploaded_file
+from langflow.services.database.models.flow import Flow
+from langflow.services.database.models.flow.utils import get_all_webhook_components_in_flow
+from langflow.services.database.models.user.model import User
+from langflow.services.deps import (
+    get_cache_service,
+    get_session,
+    get_session_service,
+    get_settings_service,
+    get_task_service,
+    get_telemetry_service,
+)
+from langflow.services.session.service import SessionService
+from langflow.services.task.service import TaskService
+from langflow.services.telemetry.schema import RunPayload
+from langflow.services.telemetry.service import TelemetryService
+from langflow.utils.version import get_version_info
+
+if TYPE_CHECKING:
+    from langflow.services.cache.base import CacheService
+    from langflow.services.settings.service import SettingsService
+
+router = APIRouter(tags=["Base"])
+
+
+@router.get("/all", dependencies=[Depends(get_current_active_user)])
+async def get_all(
+    settings_service=Depends(get_settings_service),
+    cache_service: "CacheService" = Depends(dependency=get_cache_service),
+    force_refresh: bool = False,
+):
+    from langflow.interface.types import get_and_cache_all_types_dict
+
+    try:
+        async with Lock() as lock:
+            all_types_dict = await get_and_cache_all_types_dict(
+                settings_service=settings_service, cache_service=cache_service, force_refresh=force_refresh, lock=lock
+            )
+
+            return all_types_dict
+    except Exception as exc:
+        logger.exception(exc)
+        raise HTTPException(status_code=500, detail=str(exc)) from exc
+
+
+async def simple_run_flow(
+    flow: Flow,
+    input_request: SimplifiedAPIRequest,
+    stream: bool = False,
+    api_key_user: Optional[User] = None,
+):
+    try:
+        task_result: List[RunOutputs] = []
+        user_id = api_key_user.id if api_key_user else None
+        flow_id_str = str(flow.id)
+        if flow.data is None:
+            raise ValueError(f"Flow {flow_id_str} has no data")
+        graph_data = flow.data.copy()
+        graph_data = process_tweaks(graph_data, input_request.tweaks or {}, stream=stream)
+        graph = Graph.from_payload(graph_data, flow_id=flow_id_str, user_id=str(user_id), flow_name=flow.name)
+        inputs = [
+            InputValueRequest(components=[], input_value=input_request.input_value, type=input_request.input_type)
+        ]
+        if input_request.output_component:
+            outputs = [input_request.output_component]
+        else:
+            outputs = [
+                vertex.id
+                for vertex in graph.vertices
+                if input_request.output_type == "debug"
+                or (
+                    vertex.is_output
+                    and (input_request.output_type == "any" or input_request.output_type in vertex.id.lower())  # type: ignore
+                )
+            ]
+        task_result, session_id = await run_graph_internal(
+            graph=graph,
+            flow_id=flow_id_str,
+            session_id=input_request.session_id,
+            inputs=inputs,
+            outputs=outputs,
+            stream=stream,
+        )
+
+        return RunResponse(outputs=task_result, session_id=session_id)
+
+    except sa.exc.StatementError as exc:
+        # StatementError('(builtins.ValueError) badly formed hexadecimal UUID string')
+        if "badly formed hexadecimal UUID string" in str(exc):
+            logger.error(f"Flow ID {flow_id_str} is not a valid UUID")
+            # This means the Flow ID is not a valid UUID which means it can't find the flow
+            raise ValueError(str(exc)) from exc
+
+
+@router.post("/run/{flow_id_or_name}", response_model=RunResponse, response_model_exclude_none=True)
+async def simplified_run_flow(
+    background_tasks: BackgroundTasks,
+    flow: Annotated[Flow, Depends(get_flow_by_id_or_endpoint_name)],
+    input_request: SimplifiedAPIRequest = SimplifiedAPIRequest(),
+    stream: bool = False,
+    api_key_user: User = Depends(api_key_security),
+    telemetry_service: "TelemetryService" = Depends(get_telemetry_service),
+):
+    """
+    Executes a specified flow by ID with input customization, performance enhancements through caching, and optional data streaming.
+
+    ### Parameters:
+    - `db` (Session): Database session for executing queries.
+    - `flow_id_or_name` (str): ID or endpoint name of the flow to run.
+    - `input_request` (SimplifiedAPIRequest): Request object containing input values, types, output selection, tweaks, and session ID.
+    - `api_key_user` (User): User object derived from the provided API key, used for authentication.
+    - `session_service` (SessionService): Service for managing flow sessions, essential for session reuse and caching.
+
+    ### SimplifiedAPIRequest:
+    - `input_value` (Optional[str], default=""): Input value to pass to the flow.
+    - `input_type` (Optional[Literal["chat", "text", "any"]], default="chat"): Type of the input value, determining how the input is interpreted.
+    - `output_type` (Optional[Literal["chat", "text", "any", "debug"]], default="chat"): Desired type of output, affecting which components' outputs are included in the response. If set to "debug", all outputs are returned.
+    - `output_component` (Optional[str], default=None): Specific component output to retrieve. If provided, only the output of the specified component is returned. This overrides the `output_type` parameter.
+    - `tweaks` (Optional[Tweaks], default=None): Adjustments to the flow's behavior, allowing for custom execution parameters.
+    - `session_id` (Optional[str], default=None): An identifier for reusing session data, aiding in performance for subsequent requests.
+
+
+    ### Tweaks
+    A dictionary of tweaks to customize the flow execution. The tweaks can be used to modify the flow's parameters and components. Tweaks can be overridden by the input values.
+    You can use Component's `id` or Display Name as key to tweak a specific component (e.g., `{"Component Name": {"parameter_name": "value"}}`).
+    You can also use the parameter name as key to tweak all components with that parameter (e.g., `{"parameter_name": "value"}`).
+
+    ### Returns:
+    - A `RunResponse` object containing the execution results, including selected (or all, based on `output_type`) outputs of the flow and the session ID, facilitating result retrieval and further interactions in a session context.
+
+    ### Raises:
+    - HTTPException: 404 if the specified flow ID curl -X 'POST' \
+
+    ### Example:
+    ```bash
+    curl -X 'POST' \
+      'http://<your_server>/run/{flow_id}' \
+      -H 'accept: application/json' \
+      -H 'Content-Type: application/json' \
+      -H 'x-api-key: YOU_API_KEY' \
+      -H '
+      -d '{
+            "input_value": "Sample input",
+            "input_type": "chat",
+            "output_type": "chat",
+            "tweaks": {},
+          }'
+    ```
+
+    This endpoint provides a powerful interface for executing flows with enhanced flexibility and efficiency, supporting a wide range of applications by allowing for dynamic input and output configuration along with performance optimizations through session management and caching.
+    """
+    start_time = time.perf_counter()
+    try:
+        result = await simple_run_flow(
+            flow=flow,
+            input_request=input_request,
+            stream=stream,
+            api_key_user=api_key_user,
+        )
+        end_time = time.perf_counter()
+        background_tasks.add_task(
+            telemetry_service.log_package_run,
+            RunPayload(IsWebhook=False, seconds=int(end_time - start_time), success=True, errorMessage=""),
+        )
+        return result
+
+    except ValueError as exc:
+        end_time = time.perf_counter()
+        background_tasks.add_task(
+            telemetry_service.log_package_run,
+            RunPayload(IsWebhook=False, seconds=int(end_time - start_time), success=False, errorMessage=str(exc)),
+        )
+        if "badly formed hexadecimal UUID string" in str(exc):
+            # This means the Flow ID is not a valid UUID which means it can't find the flow
+            raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=str(exc)) from exc
+        if "not found" in str(exc):
+            raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(exc)) from exc
+        else:
+            logger.exception(exc)
+            raise HTTPException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=str(exc)) from exc
+    except Exception as exc:
+        logger.exception(exc)
+        background_tasks.add_task(
+            telemetry_service.log_package_run,
+            RunPayload(IsWebhook=False, seconds=int(end_time - start_time), success=False, errorMessage=str(exc)),
+        )
+        raise HTTPException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=str(exc)) from exc
+
+
+@router.post("/webhook/{flow_id_or_name}", response_model=dict, status_code=HTTPStatus.ACCEPTED)
+async def webhook_run_flow(
+    flow: Annotated[Flow, Depends(get_flow_by_id_or_endpoint_name)],
+    request: Request,
+    background_tasks: BackgroundTasks,
+    telemetry_service: "TelemetryService" = Depends(get_telemetry_service),
+):
+    """
+    Run a flow using a webhook request.
+
+    Args:
+        db (Session): The database session.
+        request (Request): The incoming HTTP request.
+        background_tasks (BackgroundTasks): The background tasks manager.
+        session_service (SessionService, optional): The session service. Defaults to Depends(get_session_service).
+        flow (Flow, optional): The flow to be executed. Defaults to Depends(get_flow_by_id).
+
+    Returns:
+        dict: A dictionary containing the status of the task.
+
+    Raises:
+        HTTPException: If the flow is not found or if there is an error processing the request.
+    """
+    try:
+        start_time = time.perf_counter()
+        logger.debug("Received webhook request")
+        data = await request.body()
+        if not data:
+            logger.error("Request body is empty")
+            raise ValueError(
+                "Request body is empty. You should provide a JSON payload containing the flow ID.",
+            )
+
+        # get all webhook components in the flow
+        webhook_components = get_all_webhook_components_in_flow(flow.data)
+        tweaks = {}
+        data_dict = await request.json()
+        for component in webhook_components:
+            tweaks[component["id"]] = {"data": data.decode() if isinstance(data, bytes) else data}
+        input_request = SimplifiedAPIRequest(
+            input_value=data_dict.get("input_value", ""),
+            input_type=data_dict.get("input_type", "chat"),
+            output_type=data_dict.get("output_type", "chat"),
+            tweaks=tweaks,
+            session_id=data_dict.get("session_id"),
+        )
+        logger.debug("Starting background task")
+        background_tasks.add_task(  # type: ignore
+            simple_run_flow,
+            flow=flow,
+            input_request=input_request,
+        )
+        background_tasks.add_task(
+            telemetry_service.log_package_run,
+            RunPayload(IsWebhook=True, seconds=int(time.perf_counter() - start_time), success=True, errorMessage=""),
+        )
+        return {"message": "Task started in the background", "status": "in progress"}
+    except Exception as exc:
+        background_tasks.add_task(
+            telemetry_service.log_package_run,
+            RunPayload(
+                IsWebhook=True, seconds=int(time.perf_counter() - start_time), success=False, errorMessage=str(exc)
+            ),
+        )
+        if "Flow ID is required" in str(exc) or "Request body is empty" in str(exc):
+            raise HTTPException(status_code=400, detail=str(exc)) from exc
+        logger.exception(exc)
+        raise HTTPException(status_code=500, detail=str(exc)) from exc
+
+
+@router.post("/run/advanced/{flow_id}", response_model=RunResponse, response_model_exclude_none=True)
+async def experimental_run_flow(
+    session: Annotated[Session, Depends(get_session)],
+    flow_id: UUID,
+    inputs: Optional[List[InputValueRequest]] = [InputValueRequest(components=[], input_value="")],
+    outputs: Optional[List[str]] = [],
+    tweaks: Annotated[Optional[Tweaks], Body(embed=True)] = None,  # noqa: F821
+    stream: Annotated[bool, Body(embed=True)] = False,  # noqa: F821
+    session_id: Annotated[Union[None, str], Body(embed=True)] = None,  # noqa: F821
+    api_key_user: User = Depends(api_key_security),
+    session_service: SessionService = Depends(get_session_service),
+):
+    """
+    Executes a specified flow by ID with optional input values, output selection, tweaks, and streaming capability.
+    This endpoint supports running flows with caching to enhance performance and efficiency.
+
+    ### Parameters:
+    - `flow_id` (str): The unique identifier of the flow to be executed.
+    - `inputs` (List[InputValueRequest], optional): A list of inputs specifying the input values and components for the flow. Each input can target specific components and provide custom values.
+    - `outputs` (List[str], optional): A list of output names to retrieve from the executed flow. If not provided, all outputs are returned.
+    - `tweaks` (Optional[Tweaks], optional): A dictionary of tweaks to customize the flow execution. The tweaks can be used to modify the flow's parameters and components. Tweaks can be overridden by the input values.
+    - `stream` (bool, optional): Specifies whether the results should be streamed. Defaults to False.
+    - `session_id` (Union[None, str], optional): An optional session ID to utilize existing session data for the flow execution.
+    - `api_key_user` (User): The user associated with the current API key. Automatically resolved from the API key.
+    - `session_service` (SessionService): The session service object for managing flow sessions.
+
+    ### Returns:
+    A `RunResponse` object containing the selected outputs (or all if not specified) of the executed flow and the session ID. The structure of the response accommodates multiple inputs, providing a nested list of outputs for each input.
+
+    ### Raises:
+    HTTPException: Indicates issues with finding the specified flow, invalid input formats, or internal errors during flow execution.
+
+    ### Example usage:
+    ```json
+    POST /run/{flow_id}
+    x-api-key: YOUR_API_KEY
+    Payload:
+    {
+        "inputs": [
+            {"components": ["component1"], "input_value": "value1"},
+            {"components": ["component3"], "input_value": "value2"}
+        ],
+        "outputs": ["Component Name", "component_id"],
+        "tweaks": {"parameter_name": "value", "Component Name": {"parameter_name": "value"}, "component_id": {"parameter_name": "value"}}
+        "stream": false
+    }
+    ```
+
+    This endpoint facilitates complex flow executions with customized inputs, outputs, and configurations, catering to diverse application requirements.
+    """
+    try:
+        flow_id_str = str(flow_id)
+        if outputs is None:
+            outputs = []
+
+        artifacts = {}
+        if session_id:
+            session_data = await session_service.load_session(session_id, flow_id=flow_id_str)
+            graph, artifacts = session_data if session_data else (None, None)
+            if graph is None:
+                raise ValueError(f"Session {session_id} not found")
+        else:
+            # Get the flow that matches the flow_id and belongs to the user
+            # flow = session.query(Flow).filter(Flow.id == flow_id).filter(Flow.user_id == api_key_user.id).first()
+            flow = session.exec(
+                select(Flow).where(Flow.id == flow_id_str).where(Flow.user_id == api_key_user.id)
+            ).first()
+            if flow is None:
+                raise ValueError(f"Flow {flow_id_str} not found")
+
+            if flow.data is None:
+                raise ValueError(f"Flow {flow_id_str} has no data")
+            graph_data = flow.data
+            graph_data = process_tweaks(graph_data, tweaks or {})
+            graph = Graph.from_payload(graph_data, flow_id=flow_id_str)
+        task_result, session_id = await run_graph_internal(
+            graph=graph,
+            flow_id=flow_id_str,
+            session_id=session_id,
+            inputs=inputs,
+            outputs=outputs,
+            stream=stream,
+        )
+
+        return RunResponse(outputs=task_result, session_id=session_id)
+    except sa.exc.StatementError as exc:
+        # StatementError('(builtins.ValueError) badly formed hexadecimal UUID string')
+        if "badly formed hexadecimal UUID string" in str(exc):
+            logger.error(f"Flow ID {flow_id_str} is not a valid UUID")
+            # This means the Flow ID is not a valid UUID which means it can't find the flow
+            raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(exc)) from exc
+    except ValueError as exc:
+        if f"Flow {flow_id_str} not found" in str(exc):
+            logger.error(f"Flow {flow_id_str} not found")
+            raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(exc)) from exc
+        elif f"Session {session_id} not found" in str(exc):
+            logger.error(f"Session {session_id} not found")
+            raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(exc)) from exc
+        else:
+            logger.exception(exc)
+            raise HTTPException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=str(exc)) from exc
+    except Exception as exc:
+        logger.exception(exc)
+        raise HTTPException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=str(exc)) from exc
+
+
+@router.post(
+    "/predict/{flow_id}",
+    response_model=ProcessResponse,
+    dependencies=[Depends(api_key_security)],
+)
+@router.post(
+    "/process/{flow_id}",
+    response_model=ProcessResponse,
+)
+async def process(
+    session: Annotated[Session, Depends(get_session)],
+    flow_id: str,
+    inputs: Optional[Union[List[dict], dict]] = None,
+    tweaks: Optional[dict] = None,
+    clear_cache: Annotated[bool, Body(embed=True)] = False,  # noqa: F821
+    session_id: Annotated[Union[None, str], Body(embed=True)] = None,  # noqa: F821
+    task_service: "TaskService" = Depends(get_task_service),
+    api_key_user: User = Depends(api_key_security),
+    sync: Annotated[bool, Body(embed=True)] = True,  # noqa: F821
+    session_service: SessionService = Depends(get_session_service),
+):
+    """
+    Endpoint to process an input with a given flow_id.
+    """
+    # Raise a depreciation warning
+    logger.warning(
+        "The /process endpoint is deprecated and will be removed in a future version. " "Please use /run instead."
+    )
+    raise HTTPException(
+        status_code=status.HTTP_400_BAD_REQUEST,
+        detail="The /process endpoint is deprecated and will be removed in a future version. "
+        "Please use /run instead.",
+    )
+
+
+@router.get("/task/{task_id}", response_model=TaskStatusResponse)
+async def get_task_status(task_id: str):
+    task_service = get_task_service()
+    task = task_service.get_task(task_id)
+    result = None
+    if task is None:
+        raise HTTPException(status_code=404, detail="Task not found")
+    if task.ready():
+        result = task.result
+        # If result isinstance of Exception, can we get the traceback?
+        if isinstance(result, Exception):
+            logger.exception(task.traceback)
+
+        if isinstance(result, dict) and "result" in result:
+            result = result["result"]
+        elif hasattr(result, "result"):
+            result = result.result
+
+    if task.status == "FAILURE":
+        result = str(task.result)
+        logger.error(f"Task {task_id} failed: {task.traceback}")
+
+    return TaskStatusResponse(status=task.status, result=result)
+
+
+@router.post(
+    "/upload/{flow_id}",
+    response_model=UploadFileResponse,
+    status_code=HTTPStatus.CREATED,
+)
+async def create_upload_file(
+    file: UploadFile,
+    flow_id: UUID,
+):
+    try:
+        flow_id_str = str(flow_id)
+        file_path = save_uploaded_file(file, folder_name=flow_id_str)
+
+        return UploadFileResponse(
+            flowId=flow_id_str,
+            file_path=file_path,
+        )
+    except Exception as exc:
+        logger.error(f"Error saving file: {exc}")
+        raise HTTPException(status_code=500, detail=str(exc)) from exc
+
+
+# get endpoint to return version of langflow
+@router.get("/version")
+def get_version():
+    return get_version_info()
+
+
+@router.post("/custom_component", status_code=HTTPStatus.OK, response_model=CustomComponentResponse)
+async def custom_component(
+    raw_code: CustomComponentRequest,
+    user: User = Depends(get_current_active_user),
+):
+    component = Component(code=raw_code.code)
+
+    built_frontend_node, component_instance = build_custom_component_template(component, user_id=user.id)
+    if raw_code.frontend_node is not None:
+        built_frontend_node = component_instance.post_code_processing(built_frontend_node, raw_code.frontend_node)
+    return CustomComponentResponse(data=built_frontend_node, type=component_instance.__class__.__name__)
+
+
+@router.post("/custom_component/update", status_code=HTTPStatus.OK)
+async def custom_component_update(
+    code_request: UpdateCustomComponentRequest,
+    user: User = Depends(get_current_active_user),
+):
+    """
+    Update a custom component with the provided code request.
+
+    This endpoint generates the CustomComponentFrontendNode normally but then runs the `update_build_config` method
+    on the latest version of the template. This ensures that every time it runs, it has the latest version of the template.
+
+    Args:
+        code_request (CustomComponentRequest): The code request containing the updated code for the custom component.
+        user (User, optional): The user making the request. Defaults to the current active user.
+
+    Returns:
+        dict: The updated custom component node.
+
+    """
+    try:
+        component = Component(code=code_request.code)
+
+        component_node, cc_instance = build_custom_component_template(
+            component,
+            user_id=user.id,
+        )
+
+        updated_build_config = cc_instance.update_build_config(
+            build_config=code_request.get_template(),
+            field_value=code_request.field_value,
+            field_name=code_request.field,
+        )
+        component_node["template"] = updated_build_config
+
+        return component_node
+    except Exception as exc:
+        logger.exception(exc)
+        raise HTTPException(status_code=400, detail=str(exc)) from exc
+
+
+@router.get("/config", response_model=ConfigResponse)
+def get_config():
+    try:
+        from langflow.services.deps import get_settings_service
+
+        settings_service: "SettingsService" = get_settings_service()  # type: ignore
+        return settings_service.settings.model_dump()
+    except Exception as exc:
+        logger.exception(exc)
+        raise HTTPException(status_code=500, detail=str(exc)) from exc
diff --git a/src/backend/base/langflow/api/v1/files.py b/src/backend/base/langflow/api/v1/files.py
new file mode 100644
index 00000000000..a96397e087d
--- /dev/null
+++ b/src/backend/base/langflow/api/v1/files.py
@@ -0,0 +1,164 @@
+import hashlib
+from http import HTTPStatus
+from io import BytesIO
+from uuid import UUID
+from pathlib import Path
+
+from fastapi import APIRouter, Depends, HTTPException, UploadFile
+from fastapi.responses import StreamingResponse
+
+
+from langflow.api.v1.schemas import UploadFileResponse
+from langflow.services.auth.utils import get_current_active_user
+from langflow.services.database.models.flow import Flow
+from langflow.services.deps import get_session, get_storage_service
+from langflow.services.storage.service import StorageService
+from langflow.services.storage.utils import build_content_type_from_extension
+
+router = APIRouter(tags=["Files"], prefix="/files")
+
+
+# Create dep that gets the flow_id from the request
+# then finds it in the database and returns it while
+# using the current user as the owner
+def get_flow_id(
+    flow_id: UUID,
+    current_user=Depends(get_current_active_user),
+    session=Depends(get_session),
+):
+    flow_id_str = str(flow_id)
+    # AttributeError: 'SelectOfScalar' object has no attribute 'first'
+    flow = session.get(Flow, flow_id_str)
+    if not flow:
+        raise HTTPException(status_code=404, detail="Flow not found")
+    if flow.user_id != current_user.id:
+        raise HTTPException(status_code=403, detail="You don't have access to this flow")
+    return flow_id_str
+
+
+@router.post("/upload/{flow_id}", status_code=HTTPStatus.CREATED)
+async def upload_file(
+    file: UploadFile,
+    flow_id: UUID = Depends(get_flow_id),
+    storage_service: StorageService = Depends(get_storage_service),
+):
+    try:
+        flow_id_str = str(flow_id)
+        file_content = await file.read()
+        file_name = file.filename or hashlib.sha256(file_content).hexdigest()
+        folder = flow_id_str
+        await storage_service.save_file(flow_id=folder, file_name=file_name, data=file_content)
+        return UploadFileResponse(flowId=flow_id_str, file_path=f"{folder}/{file_name}")
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.get("/download/{flow_id}/{file_name}")
+async def download_file(file_name: str, flow_id: UUID, storage_service: StorageService = Depends(get_storage_service)):
+    try:
+        flow_id_str = str(flow_id)
+        extension = file_name.split(".")[-1]
+
+        if not extension:
+            raise HTTPException(status_code=500, detail=f"Extension not found for file {file_name}")
+
+        content_type = build_content_type_from_extension(extension)
+
+        if not content_type:
+            raise HTTPException(status_code=500, detail=f"Content type not found for extension {extension}")
+
+        file_content = await storage_service.get_file(flow_id=flow_id_str, file_name=file_name)
+        headers = {
+            "Content-Disposition": f"attachment; filename={file_name} filename*=UTF-8''{file_name}",
+            "Content-Type": "application/octet-stream",
+            "Content-Length": str(len(file_content)),
+        }
+        return StreamingResponse(BytesIO(file_content), media_type=content_type, headers=headers)
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.get("/images/{flow_id}/{file_name}")
+async def download_image(file_name: str, flow_id: UUID, storage_service: StorageService = Depends(get_storage_service)):
+    try:
+        extension = file_name.split(".")[-1]
+        flow_id_str = str(flow_id)
+
+        if not extension:
+            raise HTTPException(status_code=500, detail=f"Extension not found for file {file_name}")
+
+        content_type = build_content_type_from_extension(extension)
+
+        if not content_type:
+            raise HTTPException(status_code=500, detail=f"Content type not found for extension {extension}")
+        elif not content_type.startswith("image"):
+            raise HTTPException(status_code=500, detail=f"Content type {content_type} is not an image")
+
+        file_content = await storage_service.get_file(flow_id=flow_id_str, file_name=file_name)
+        return StreamingResponse(BytesIO(file_content), media_type=content_type)
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.get("/profile_pictures/{folder_name}/{file_name}")
+async def download_profile_picture(
+    folder_name: str,
+    file_name: str,
+    storage_service: StorageService = Depends(get_storage_service),
+):
+    try:
+        extension = file_name.split(".")[-1]
+        config_dir = get_storage_service().settings_service.settings.config_dir
+        config_path = Path(config_dir)  # type: ignore
+        folder_path = config_path / "profile_pictures" / folder_name
+        content_type = build_content_type_from_extension(extension)
+        file_content = await storage_service.get_file(flow_id=folder_path, file_name=file_name)  # type: ignore
+        return StreamingResponse(BytesIO(file_content), media_type=content_type)
+
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.get("/profile_pictures/list")
+async def list_profile_pictures(storage_service: StorageService = Depends(get_storage_service)):
+    try:
+        config_dir = get_storage_service().settings_service.settings.config_dir
+        config_path = Path(config_dir)  # type: ignore
+
+        people_path = config_path / "profile_pictures/People"
+        space_path = config_path / "profile_pictures/Space"
+
+        people = await storage_service.list_files(flow_id=people_path)  # type: ignore
+        space = await storage_service.list_files(flow_id=space_path)  # type: ignore
+
+        files = [Path("People") / i for i in people]
+        files += [Path("Space") / i for i in space]
+
+        return {"files": files}
+
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.get("/list/{flow_id}")
+async def list_files(
+    flow_id: UUID = Depends(get_flow_id), storage_service: StorageService = Depends(get_storage_service)
+):
+    try:
+        flow_id_str = str(flow_id)
+        files = await storage_service.list_files(flow_id=flow_id_str)
+        return {"files": files}
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.delete("/delete/{flow_id}/{file_name}")
+async def delete_file(
+    file_name: str, flow_id: UUID = Depends(get_flow_id), storage_service: StorageService = Depends(get_storage_service)
+):
+    try:
+        flow_id_str = str(flow_id)
+        await storage_service.delete_file(flow_id=flow_id_str, file_name=file_name)
+        return {"message": f"File {file_name} deleted successfully"}
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
diff --git a/src/backend/base/langflow/api/v1/flows.py b/src/backend/base/langflow/api/v1/flows.py
new file mode 100644
index 00000000000..800e2c0880b
--- /dev/null
+++ b/src/backend/base/langflow/api/v1/flows.py
@@ -0,0 +1,339 @@
+from datetime import datetime, timezone
+from typing import List
+from uuid import UUID
+
+import orjson
+from fastapi import APIRouter, Depends, File, HTTPException, UploadFile
+from fastapi.encoders import jsonable_encoder
+from loguru import logger
+from sqlmodel import Session, col, select
+
+from langflow.api.utils import remove_api_keys, validate_is_component
+from langflow.api.v1.schemas import FlowListCreate, FlowListRead
+from langflow.initial_setup.setup import STARTER_FOLDER_NAME
+from langflow.services.auth.utils import get_current_active_user
+from langflow.services.database.models.flow import Flow, FlowCreate, FlowRead, FlowUpdate
+from langflow.services.database.models.flow.utils import get_webhook_component_in_flow
+from langflow.services.database.models.folder.constants import DEFAULT_FOLDER_NAME
+from langflow.services.database.models.folder.model import Folder
+from langflow.services.database.models.user.model import User
+from langflow.services.deps import get_session, get_settings_service
+from langflow.services.settings.service import SettingsService
+
+# build router
+router = APIRouter(prefix="/flows", tags=["Flows"])
+
+
+@router.post("/", response_model=FlowRead, status_code=201)
+def create_flow(
+    *,
+    session: Session = Depends(get_session),
+    flow: FlowCreate,
+    current_user: User = Depends(get_current_active_user),
+):
+    try:
+        """Create a new flow."""
+        if flow.user_id is None:
+            flow.user_id = current_user.id
+
+        # First check if the flow.name is unique
+        # there might be flows with name like: "MyFlow", "MyFlow (1)", "MyFlow (2)"
+        # so we need to check if the name is unique with `like` operator
+        # if we find a flow with the same name, we add a number to the end of the name
+        # based on the highest number found
+        if session.exec(select(Flow).where(Flow.name == flow.name).where(Flow.user_id == current_user.id)).first():
+            flows = session.exec(
+                select(Flow).where(Flow.name.like(f"{flow.name} (%")).where(Flow.user_id == current_user.id)  # type: ignore
+            ).all()
+            if flows:
+                numbers = [int(flow.name.split("(")[1].split(")")[0]) for flow in flows]
+                flow.name = f"{flow.name} ({max(numbers) + 1})"
+            else:
+                flow.name = f"{flow.name} (1)"
+        # Now check if the endpoint is unique
+        if (
+            flow.endpoint_name
+            and session.exec(
+                select(Flow).where(Flow.endpoint_name == flow.endpoint_name).where(Flow.user_id == current_user.id)
+            ).first()
+        ):
+            flows = session.exec(
+                select(Flow)
+                .where(Flow.endpoint_name.like(f"{flow.endpoint_name}-%"))  # type: ignore
+                .where(Flow.user_id == current_user.id)
+            ).all()
+            if flows:
+                # The endpoitn name is like "my-endpoint","my-endpoint-1", "my-endpoint-2"
+                # so we need to get the highest number and add 1
+                # we need to get the last part of the endpoint name
+                numbers = [int(flow.endpoint_name.split("-")[-1]) for flow in flows]  # type: ignore
+                flow.endpoint_name = f"{flow.endpoint_name}-{max(numbers) + 1}"
+            else:
+                flow.endpoint_name = f"{flow.endpoint_name}-1"
+
+        db_flow = Flow.model_validate(flow, from_attributes=True)
+        db_flow.updated_at = datetime.now(timezone.utc)
+
+        if db_flow.folder_id is None:
+            # Make sure flows always have a folder
+            default_folder = session.exec(
+                select(Folder).where(Folder.name == DEFAULT_FOLDER_NAME, Folder.user_id == current_user.id)
+            ).first()
+            if default_folder:
+                db_flow.folder_id = default_folder.id
+
+        session.add(db_flow)
+        session.commit()
+        session.refresh(db_flow)
+        return db_flow
+    except Exception as e:
+        # If it is a validation error, return the error message
+        if hasattr(e, "errors"):
+            raise HTTPException(status_code=400, detail=str(e)) from e
+        elif "UNIQUE constraint failed" in str(e):
+            # Get the name of the column that failed
+            columns = str(e).split("UNIQUE constraint failed: ")[1].split(".")[1].split("\n")[0]
+            # UNIQUE constraint failed: flow.user_id, flow.name
+            # or UNIQUE constraint failed: flow.name
+            # if the column has id in it, we want the other column
+            column = columns.split(",")[1] if "id" in columns.split(",")[0] else columns.split(",")[0]
+
+            raise HTTPException(
+                status_code=400, detail=f"{column.capitalize().replace('_', ' ')} must be unique"
+            ) from e
+        elif isinstance(e, HTTPException):
+            raise e
+        else:
+            raise HTTPException(status_code=500, detail=str(e)) from e
+
+
+@router.get("/", response_model=list[FlowRead], status_code=200)
+def read_flows(
+    *,
+    current_user: User = Depends(get_current_active_user),
+    session: Session = Depends(get_session),
+    settings_service: "SettingsService" = Depends(get_settings_service),
+    remove_example_flows: bool = False,
+):
+    """
+    Retrieve a list of flows.
+
+    Args:
+        current_user (User): The current authenticated user.
+        session (Session): The database session.
+        settings_service (SettingsService): The settings service.
+        remove_example_flows (bool, optional): Whether to remove example flows. Defaults to False.
+
+
+    Returns:
+        List[Dict]: A list of flows in JSON format.
+    """
+
+    try:
+        auth_settings = settings_service.auth_settings
+        if auth_settings.AUTO_LOGIN:
+            flows = session.exec(
+                select(Flow).where(
+                    (Flow.user_id == None) | (Flow.user_id == current_user.id)  # noqa
+                )
+            ).all()
+        else:
+            flows = current_user.flows
+
+        flows = validate_is_component(flows)  # type: ignore
+        flow_ids = [flow.id for flow in flows]
+        # with the session get the flows that DO NOT have a user_id
+        if not remove_example_flows:
+            try:
+                folder = session.exec(select(Folder).where(Folder.name == STARTER_FOLDER_NAME)).first()
+
+                example_flows = folder.flows if folder else []
+                for example_flow in example_flows:
+                    if example_flow.id not in flow_ids:
+                        flows.append(example_flow)  # type: ignore
+            except Exception as e:
+                logger.error(e)
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e)) from e
+    return [jsonable_encoder(flow) for flow in flows]
+
+
+@router.get("/{flow_id}", response_model=FlowRead, status_code=200)
+def read_flow(
+    *,
+    session: Session = Depends(get_session),
+    flow_id: UUID,
+    current_user: User = Depends(get_current_active_user),
+    settings_service: "SettingsService" = Depends(get_settings_service),
+):
+    """Read a flow."""
+    auth_settings = settings_service.auth_settings
+    stmt = select(Flow).where(Flow.id == flow_id)
+    if auth_settings.AUTO_LOGIN:
+        # If auto login is enable user_id can be current_user.id or None
+        # so write an OR
+        stmt = stmt.where(
+            (Flow.user_id == current_user.id) | (Flow.user_id == None)  # noqa
+        )  # noqa
+    if user_flow := session.exec(stmt).first():
+        return user_flow
+    else:
+        raise HTTPException(status_code=404, detail="Flow not found")
+
+
+@router.patch("/{flow_id}", response_model=FlowRead, status_code=200)
+def update_flow(
+    *,
+    session: Session = Depends(get_session),
+    flow_id: UUID,
+    flow: FlowUpdate,
+    current_user: User = Depends(get_current_active_user),
+    settings_service=Depends(get_settings_service),
+):
+    """Update a flow."""
+    try:
+        db_flow = read_flow(
+            session=session,
+            flow_id=flow_id,
+            current_user=current_user,
+            settings_service=settings_service,
+        )
+        if not db_flow:
+            raise HTTPException(status_code=404, detail="Flow not found")
+        flow_data = flow.model_dump(exclude_unset=True)
+        if settings_service.settings.remove_api_keys:
+            flow_data = remove_api_keys(flow_data)
+        for key, value in flow_data.items():
+            if value is not None:
+                setattr(db_flow, key, value)
+        webhook_component = get_webhook_component_in_flow(db_flow.data)
+        db_flow.webhook = webhook_component is not None
+        db_flow.updated_at = datetime.now(timezone.utc)
+        if db_flow.folder_id is None:
+            default_folder = session.exec(select(Folder).where(Folder.name == DEFAULT_FOLDER_NAME)).first()
+            if default_folder:
+                db_flow.folder_id = default_folder.id
+        session.add(db_flow)
+        session.commit()
+        session.refresh(db_flow)
+        return db_flow
+    except Exception as e:
+        # If it is a validation error, return the error message
+        if hasattr(e, "errors"):
+            raise HTTPException(status_code=400, detail=str(e)) from e
+        elif "UNIQUE constraint failed" in str(e):
+            # Get the name of the column that failed
+            columns = str(e).split("UNIQUE constraint failed: ")[1].split(".")[1].split("\n")[0]
+            # UNIQUE constraint failed: flow.user_id, flow.name
+            # or UNIQUE constraint failed: flow.name
+            # if the column has id in it, we want the other column
+            column = columns.split(",")[1] if "id" in columns.split(",")[0] else columns.split(",")[0]
+
+            raise HTTPException(
+                status_code=400, detail=f"{column.capitalize().replace('_', ' ')} must be unique"
+            ) from e
+        elif isinstance(e, HTTPException):
+            raise e
+        else:
+            raise HTTPException(status_code=500, detail=str(e)) from e
+
+
+@router.delete("/{flow_id}", status_code=200)
+def delete_flow(
+    *,
+    session: Session = Depends(get_session),
+    flow_id: UUID,
+    current_user: User = Depends(get_current_active_user),
+    settings_service=Depends(get_settings_service),
+):
+    """Delete a flow."""
+    flow = read_flow(
+        session=session,
+        flow_id=flow_id,
+        current_user=current_user,
+        settings_service=settings_service,
+    )
+    if not flow:
+        raise HTTPException(status_code=404, detail="Flow not found")
+    session.delete(flow)
+    session.commit()
+    return {"message": "Flow deleted successfully"}
+
+
+@router.post("/batch/", response_model=List[FlowRead], status_code=201)
+def create_flows(
+    *,
+    session: Session = Depends(get_session),
+    flow_list: FlowListCreate,
+    current_user: User = Depends(get_current_active_user),
+):
+    """Create multiple new flows."""
+    db_flows = []
+    for flow in flow_list.flows:
+        flow.user_id = current_user.id
+        db_flow = Flow.model_validate(flow, from_attributes=True)
+        session.add(db_flow)
+        db_flows.append(db_flow)
+    session.commit()
+    for db_flow in db_flows:
+        session.refresh(db_flow)
+    return db_flows
+
+
+@router.post("/upload/", response_model=List[FlowRead], status_code=201)
+async def upload_file(
+    *,
+    session: Session = Depends(get_session),
+    file: UploadFile = File(...),
+    current_user: User = Depends(get_current_active_user),
+):
+    """Upload flows from a file."""
+    contents = await file.read()
+    data = orjson.loads(contents)
+    if "flows" in data:
+        flow_list = FlowListCreate(**data)
+    else:
+        flow_list = FlowListCreate(flows=[FlowCreate(**data)])
+    # Now we set the user_id for all flows
+    for flow in flow_list.flows:
+        flow.user_id = current_user.id
+
+    return create_flows(session=session, flow_list=flow_list, current_user=current_user)
+
+
+@router.get("/download/", response_model=FlowListRead, status_code=200)
+async def download_file(
+    *,
+    session: Session = Depends(get_session),
+    settings_service: "SettingsService" = Depends(get_settings_service),
+    current_user: User = Depends(get_current_active_user),
+):
+    """Download all flows as a file."""
+    flows = read_flows(current_user=current_user, session=session, settings_service=settings_service)
+    return FlowListRead(flows=flows)
+
+
+@router.delete("/")
+async def delete_multiple_flows(
+    flow_ids: List[UUID], user: User = Depends(get_current_active_user), db: Session = Depends(get_session)
+):
+    """
+    Delete multiple flows by their IDs.
+
+    Args:
+        flow_ids (List[str]): The list of flow IDs to delete.
+        user (User, optional): The user making the request. Defaults to the current active user.
+
+    Returns:
+        dict: A dictionary containing the number of flows deleted.
+
+    """
+    try:
+        deleted_flows = db.exec(select(Flow).where(col(Flow.id).in_(flow_ids)).where(Flow.user_id == user.id)).all()
+        for flow in deleted_flows:
+            db.delete(flow)
+        db.commit()
+        return {"deleted": len(deleted_flows)}
+    except Exception as exc:
+        logger.exception(exc)
+        raise HTTPException(status_code=500, detail=str(exc)) from exc
diff --git a/src/backend/base/langflow/api/v1/folders.py b/src/backend/base/langflow/api/v1/folders.py
new file mode 100644
index 00000000000..ba9e7c61ba6
--- /dev/null
+++ b/src/backend/base/langflow/api/v1/folders.py
@@ -0,0 +1,253 @@
+from typing import List
+
+import orjson
+from fastapi import APIRouter, Depends, File, HTTPException, Response, UploadFile, status
+from sqlalchemy import or_, update
+from sqlmodel import Session, select
+
+from langflow.api.v1.flows import create_flows
+from langflow.api.v1.schemas import FlowListCreate, FlowListReadWithFolderName
+from langflow.helpers.flow import generate_unique_flow_name
+from langflow.helpers.folders import generate_unique_folder_name
+from langflow.services.auth.utils import get_current_active_user
+from langflow.services.database.models.flow.model import Flow, FlowCreate, FlowRead
+from langflow.services.database.models.folder.constants import DEFAULT_FOLDER_NAME
+from langflow.services.database.models.folder.model import (
+    Folder,
+    FolderCreate,
+    FolderRead,
+    FolderReadWithFlows,
+    FolderUpdate,
+)
+from langflow.services.database.models.user.model import User
+from langflow.services.deps import get_session
+
+router = APIRouter(prefix="/folders", tags=["Folders"])
+
+
+@router.post("/", response_model=FolderRead, status_code=201)
+def create_folder(
+    *,
+    session: Session = Depends(get_session),
+    folder: FolderCreate,
+    current_user: User = Depends(get_current_active_user),
+):
+    try:
+        new_folder = Folder.model_validate(folder, from_attributes=True)
+        new_folder.user_id = current_user.id
+        # First check if the folder.name is unique
+        # there might be flows with name like: "MyFlow", "MyFlow (1)", "MyFlow (2)"
+        # so we need to check if the name is unique with `like` operator
+        # if we find a flow with the same name, we add a number to the end of the name
+        # based on the highest number found
+        if session.exec(
+            statement=select(Folder).where(Folder.name == new_folder.name).where(Folder.user_id == current_user.id)
+        ).first():
+            folder_results = session.exec(
+                select(Folder).where(
+                    Folder.name.like(f"{new_folder.name}%"),  # type: ignore
+                    Folder.user_id == current_user.id,
+                )
+            )
+            if folder_results:
+                folder_names = [folder.name for folder in folder_results]
+                folder_numbers = [int(name.split("(")[-1].split(")")[0]) for name in folder_names if "(" in name]
+                if folder_numbers:
+                    new_folder.name = f"{new_folder.name} ({max(folder_numbers) + 1})"
+                else:
+                    new_folder.name = f"{new_folder.name} (1)"
+
+        session.add(new_folder)
+        session.commit()
+        session.refresh(new_folder)
+
+        if folder.components_list:
+            update_statement_components = (
+                update(Flow).where(Flow.id.in_(folder.components_list)).values(folder_id=new_folder.id)  # type: ignore
+            )
+            session.exec(update_statement_components)  # type: ignore
+            session.commit()
+
+        if folder.flows_list:
+            update_statement_flows = update(Flow).where(Flow.id.in_(folder.flows_list)).values(folder_id=new_folder.id)  # type: ignore
+            session.exec(update_statement_flows)  # type: ignore
+            session.commit()
+
+        return new_folder
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.get("/", response_model=List[FolderRead], status_code=200)
+def read_folders(
+    *,
+    session: Session = Depends(get_session),
+    current_user: User = Depends(get_current_active_user),
+):
+    try:
+        folders = session.exec(
+            select(Folder).where(
+                or_(Folder.user_id == current_user.id, Folder.user_id == None)  # type: ignore # noqa: E711
+            )
+        ).all()
+        sorted_folders = sorted(folders, key=lambda x: x.name != DEFAULT_FOLDER_NAME)
+        return sorted_folders
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.get("/{folder_id}", response_model=FolderReadWithFlows, status_code=200)
+def read_folder(
+    *,
+    session: Session = Depends(get_session),
+    folder_id: str,
+    current_user: User = Depends(get_current_active_user),
+):
+    try:
+        folder = session.exec(select(Folder).where(Folder.id == folder_id, Folder.user_id == current_user.id)).first()
+        if not folder:
+            raise HTTPException(status_code=404, detail="Folder not found")
+        return folder
+    except Exception as e:
+        if "No result found" in str(e):
+            raise HTTPException(status_code=404, detail="Folder not found")
+        raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.patch("/{folder_id}", response_model=FolderRead, status_code=200)
+def update_folder(
+    *,
+    session: Session = Depends(get_session),
+    folder_id: str,
+    folder: FolderUpdate,  # Assuming FolderUpdate is a Pydantic model defining updatable fields
+    current_user: User = Depends(get_current_active_user),
+):
+    try:
+        existing_folder = session.exec(
+            select(Folder).where(Folder.id == folder_id, Folder.user_id == current_user.id)
+        ).first()
+        if not existing_folder:
+            raise HTTPException(status_code=404, detail="Folder not found")
+        if folder.name and folder.name != existing_folder.name:
+            existing_folder.name = folder.name
+            session.add(existing_folder)
+            session.commit()
+            session.refresh(existing_folder)
+            return existing_folder
+
+        folder_data = existing_folder.model_dump(exclude_unset=True)
+        for key, value in folder_data.items():
+            if key != "components" and key != "flows":
+                setattr(existing_folder, key, value)
+        session.add(existing_folder)
+        session.commit()
+        session.refresh(existing_folder)
+
+        concat_folder_components = folder.components + folder.flows
+
+        flows_ids = session.exec(select(Flow.id).where(Flow.folder_id == existing_folder.id)).all()
+
+        excluded_flows = list(set(flows_ids) - set(concat_folder_components))
+
+        my_collection_folder = session.exec(select(Folder).where(Folder.name == DEFAULT_FOLDER_NAME)).first()
+        if my_collection_folder:
+            update_statement_my_collection = (
+                update(Flow).where(Flow.id.in_(excluded_flows)).values(folder_id=my_collection_folder.id)  # type: ignore
+            )
+            session.exec(update_statement_my_collection)  # type: ignore
+            session.commit()
+
+        if concat_folder_components:
+            update_statement_components = (
+                update(Flow).where(Flow.id.in_(concat_folder_components)).values(folder_id=existing_folder.id)  # type: ignore
+            )
+            session.exec(update_statement_components)  # type: ignore
+            session.commit()
+
+        return existing_folder
+
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.delete("/{folder_id}", status_code=204)
+def delete_folder(
+    *,
+    session: Session = Depends(get_session),
+    folder_id: str,
+    current_user: User = Depends(get_current_active_user),
+):
+    try:
+        folder = session.exec(select(Folder).where(Folder.id == folder_id, Folder.user_id == current_user.id)).first()
+        if not folder:
+            raise HTTPException(status_code=404, detail="Folder not found")
+        session.delete(folder)
+        session.commit()
+        flows = session.exec(select(Flow).where(Flow.folder_id == folder_id, Folder.user_id == current_user.id)).all()
+        for flow in flows:
+            session.delete(flow)
+        session.commit()
+        return Response(status_code=status.HTTP_204_NO_CONTENT)
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.get("/download/{folder_id}", response_model=FlowListReadWithFolderName, status_code=200)
+async def download_file(
+    *,
+    session: Session = Depends(get_session),
+    folder_id: str,
+    current_user: User = Depends(get_current_active_user),
+):
+    """Download all flows from folder."""
+    try:
+        folder = session.exec(select(Folder).where(Folder.id == folder_id, Folder.user_id == current_user.id)).first()
+        return folder
+    except Exception as e:
+        if "No result found" in str(e):
+            raise HTTPException(status_code=404, detail="Folder not found")
+        raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.post("/upload/", response_model=List[FlowRead], status_code=201)
+async def upload_file(
+    *,
+    session: Session = Depends(get_session),
+    file: UploadFile = File(...),
+    current_user: User = Depends(get_current_active_user),
+):
+    """Upload flows from a file."""
+    contents = await file.read()
+    data = orjson.loads(contents)
+
+    if not data:
+        raise HTTPException(status_code=400, detail="No flows found in the file")
+
+    folder_name = generate_unique_folder_name(data["folder_name"], current_user.id, session)
+
+    data["folder_name"] = folder_name
+
+    folder = FolderCreate(name=data["folder_name"], description=data["folder_description"])
+
+    new_folder = Folder.model_validate(folder, from_attributes=True)
+    new_folder.id = None
+    new_folder.user_id = current_user.id
+    session.add(new_folder)
+    session.commit()
+    session.refresh(new_folder)
+
+    del data["folder_name"]
+    del data["folder_description"]
+
+    if "flows" in data:
+        flow_list = FlowListCreate(flows=[FlowCreate(**flow) for flow in data["flows"]])
+    else:
+        raise HTTPException(status_code=400, detail="No flows found in the data")
+    # Now we set the user_id for all flows
+    for flow in flow_list.flows:
+        flow_name = generate_unique_flow_name(flow.name, current_user.id, session)
+        flow.name = flow_name
+        flow.user_id = current_user.id
+        flow.folder_id = new_folder.id
+
+    return create_flows(session=session, flow_list=flow_list, current_user=current_user)
diff --git a/src/backend/base/langflow/api/v1/login.py b/src/backend/base/langflow/api/v1/login.py
new file mode 100644
index 00000000000..9ba570f3cb4
--- /dev/null
+++ b/src/backend/base/langflow/api/v1/login.py
@@ -0,0 +1,143 @@
+from fastapi import APIRouter, Depends, HTTPException, Request, Response, status
+from fastapi.security import OAuth2PasswordRequestForm
+from sqlmodel import Session
+
+from langflow.api.v1.schemas import Token
+from langflow.services.auth.utils import (
+    authenticate_user,
+    create_refresh_token,
+    create_user_longterm_token,
+    create_user_tokens,
+)
+from langflow.services.database.models.folder.utils import create_default_folder_if_it_doesnt_exist
+from langflow.services.deps import get_session, get_settings_service, get_variable_service
+from langflow.services.settings.service import SettingsService
+from langflow.services.variable.service import VariableService
+
+router = APIRouter(tags=["Login"])
+
+
+@router.post("/login", response_model=Token)
+async def login_to_get_access_token(
+    response: Response,
+    form_data: OAuth2PasswordRequestForm = Depends(),
+    db: Session = Depends(get_session),
+    # _: Session = Depends(get_current_active_user)
+    settings_service=Depends(get_settings_service),
+    variable_service: VariableService = Depends(get_variable_service),
+):
+    auth_settings = settings_service.auth_settings
+    try:
+        user = authenticate_user(form_data.username, form_data.password, db)
+    except Exception as exc:
+        if isinstance(exc, HTTPException):
+            raise exc
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail=str(exc),
+        ) from exc
+
+    if user:
+        tokens = create_user_tokens(user_id=user.id, db=db, update_last_login=True)
+        response.set_cookie(
+            "refresh_token_lf",
+            tokens["refresh_token"],
+            httponly=auth_settings.REFRESH_HTTPONLY,
+            samesite=auth_settings.REFRESH_SAME_SITE,
+            secure=auth_settings.REFRESH_SECURE,
+            expires=auth_settings.REFRESH_TOKEN_EXPIRE_SECONDS,
+            domain=auth_settings.COOKIE_DOMAIN,
+        )
+        response.set_cookie(
+            "access_token_lf",
+            tokens["access_token"],
+            httponly=auth_settings.ACCESS_HTTPONLY,
+            samesite=auth_settings.ACCESS_SAME_SITE,
+            secure=auth_settings.ACCESS_SECURE,
+            expires=auth_settings.ACCESS_TOKEN_EXPIRE_SECONDS,
+            domain=auth_settings.COOKIE_DOMAIN,
+        )
+        variable_service.initialize_user_variables(user.id, db)
+        # Create default folder for user if it doesn't exist
+        create_default_folder_if_it_doesnt_exist(db, user.id)
+        return tokens
+    else:
+        raise HTTPException(
+            status_code=status.HTTP_401_UNAUTHORIZED,
+            detail="Incorrect username or password",
+            headers={"WWW-Authenticate": "Bearer"},
+        )
+
+
+@router.get("/auto_login")
+async def auto_login(
+    response: Response, db: Session = Depends(get_session), settings_service=Depends(get_settings_service)
+):
+    auth_settings = settings_service.auth_settings
+    if settings_service.auth_settings.AUTO_LOGIN:
+        user_id, tokens = create_user_longterm_token(db)
+        response.set_cookie(
+            "access_token_lf",
+            tokens["access_token"],
+            httponly=auth_settings.ACCESS_HTTPONLY,
+            samesite=auth_settings.ACCESS_SAME_SITE,
+            secure=auth_settings.ACCESS_SECURE,
+            expires=None,  # Set to None to make it a session cookie
+            domain=auth_settings.COOKIE_DOMAIN,
+        )
+
+        return tokens
+
+    raise HTTPException(
+        status_code=status.HTTP_400_BAD_REQUEST,
+        detail={
+            "message": "Auto login is disabled. Please enable it in the settings",
+            "auto_login": False,
+        },
+    )
+
+
+@router.post("/refresh")
+async def refresh_token(
+    request: Request,
+    response: Response,
+    settings_service: "SettingsService" = Depends(get_settings_service),
+):
+    auth_settings = settings_service.auth_settings
+
+    token = request.cookies.get("refresh_token_lf")
+
+    if token:
+        tokens = create_refresh_token(token)
+        response.set_cookie(
+            "refresh_token_lf",
+            tokens["refresh_token"],
+            httponly=auth_settings.REFRESH_HTTPONLY,
+            samesite=auth_settings.REFRESH_SAME_SITE,
+            secure=auth_settings.REFRESH_SECURE,
+            expires=auth_settings.REFRESH_TOKEN_EXPIRE_SECONDS,
+            domain=auth_settings.COOKIE_DOMAIN,
+        )
+        response.set_cookie(
+            "access_token_lf",
+            tokens["access_token"],
+            httponly=auth_settings.ACCESS_HTTPONLY,
+            samesite=auth_settings.ACCESS_SAME_SITE,
+            secure=auth_settings.ACCESS_SECURE,
+            expires=auth_settings.ACCESS_TOKEN_EXPIRE_SECONDS,
+            domain=auth_settings.COOKIE_DOMAIN,
+        )
+        return tokens
+    else:
+        raise HTTPException(
+            status_code=status.HTTP_401_UNAUTHORIZED,
+            detail="Invalid refresh token",
+            headers={"WWW-Authenticate": "Bearer"},
+        )
+
+
+@router.post("/logout")
+async def logout(response: Response):
+    response.delete_cookie("refresh_token_lf")
+    response.delete_cookie("access_token_lf")
+    return {"message": "Logout successful"}
diff --git a/src/backend/base/langflow/api/v1/monitor.py b/src/backend/base/langflow/api/v1/monitor.py
new file mode 100644
index 00000000000..a99c86bf8b8
--- /dev/null
+++ b/src/backend/base/langflow/api/v1/monitor.py
@@ -0,0 +1,140 @@
+from typing import List, Optional
+
+
+from fastapi import APIRouter, Depends, HTTPException, Query
+
+from langflow.services.deps import get_monitor_service
+from langflow.services.monitor.schema import (
+    MessageModelRequest,
+    MessageModelResponse,
+    TransactionModelResponse,
+    VertexBuildMapModel,
+)
+from langflow.services.monitor.service import MonitorService
+
+router = APIRouter(prefix="/monitor", tags=["Monitor"])
+
+
+# Get vertex_builds data from the monitor service
+@router.get("/builds", response_model=VertexBuildMapModel)
+async def get_vertex_builds(
+    flow_id: Optional[str] = Query(None),
+    vertex_id: Optional[str] = Query(None),
+    valid: Optional[bool] = Query(None),
+    order_by: Optional[str] = Query("timestamp"),
+    monitor_service: MonitorService = Depends(get_monitor_service),
+):
+    try:
+        vertex_build_dicts = monitor_service.get_vertex_builds(
+            flow_id=flow_id, vertex_id=vertex_id, valid=valid, order_by=order_by
+        )
+        vertex_build_map = VertexBuildMapModel.from_list_of_dicts(vertex_build_dicts)
+        return vertex_build_map
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.delete("/builds", status_code=204)
+async def delete_vertex_builds(
+    flow_id: Optional[str] = Query(None),
+    monitor_service: MonitorService = Depends(get_monitor_service),
+):
+    try:
+        monitor_service.delete_vertex_builds(flow_id=flow_id)
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.get("/messages", response_model=List[MessageModelResponse])
+async def get_messages(
+    flow_id: Optional[str] = Query(None),
+    session_id: Optional[str] = Query(None),
+    sender: Optional[str] = Query(None),
+    sender_name: Optional[str] = Query(None),
+    order_by: Optional[str] = Query("timestamp"),
+    monitor_service: MonitorService = Depends(get_monitor_service),
+):
+    try:
+        df = monitor_service.get_messages(
+            flow_id=flow_id,
+            sender=sender,
+            sender_name=sender_name,
+            session_id=session_id,
+            order_by=order_by,
+        )
+        dicts = df.to_dict(orient="records")
+        return [MessageModelResponse(**d) for d in dicts]
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.delete("/messages", status_code=204)
+async def delete_messages(
+    message_ids: List[int],
+    monitor_service: MonitorService = Depends(get_monitor_service),
+):
+    try:
+        monitor_service.delete_messages(message_ids=message_ids)
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.post("/messages/{message_id}", response_model=MessageModelResponse)
+async def update_message(
+    message_id: int,
+    message: MessageModelRequest,
+    monitor_service: MonitorService = Depends(get_monitor_service),
+):
+    try:
+        message_dict = message.model_dump(exclude_none=True)
+        message_dict.pop("index", None)
+        monitor_service.update_message(message_id=message_id, **message_dict)  # type: ignore
+        return MessageModelResponse(index=message_id, **message_dict)
+
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.delete("/messages/session/{session_id}", status_code=204)
+async def delete_messages_session(
+    session_id: str,
+    monitor_service: MonitorService = Depends(get_monitor_service),
+):
+    try:
+        monitor_service.delete_messages_session(session_id=session_id)
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.get("/transactions", response_model=List[TransactionModelResponse])
+async def get_transactions(
+    source: Optional[str] = Query(None),
+    target: Optional[str] = Query(None),
+    status: Optional[str] = Query(None),
+    order_by: Optional[str] = Query("timestamp"),
+    flow_id: Optional[str] = Query(None),
+    monitor_service: MonitorService = Depends(get_monitor_service),
+):
+    try:
+        dicts = monitor_service.get_transactions(
+            source=source, target=target, status=status, order_by=order_by, flow_id=flow_id
+        )
+        result = []
+        for d in dicts:
+            d = TransactionModelResponse(
+                index=d["index"],
+                timestamp=d["timestamp"],
+                vertex_id=d["vertex_id"],
+                inputs=d["inputs"],
+                outputs=d["outputs"],
+                status=d["status"],
+                error=d["error"],
+                flow_id=d["flow_id"],
+                source=d["vertex_id"],
+                target=d["target_id"],
+            )
+            result.append(d)
+        return result
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+        raise HTTPException(status_code=500, detail=str(e))
diff --git a/src/backend/base/langflow/api/v1/schemas.py b/src/backend/base/langflow/api/v1/schemas.py
new file mode 100644
index 00000000000..d8cf98d6d90
--- /dev/null
+++ b/src/backend/base/langflow/api/v1/schemas.py
@@ -0,0 +1,330 @@
+from datetime import datetime, timezone
+from enum import Enum
+from pathlib import Path
+from typing import Any, Dict, List, Optional, Union
+from uuid import UUID
+
+from pydantic import BaseModel, ConfigDict, Field, field_validator, model_serializer
+
+from langflow.graph.schema import RunOutputs
+from langflow.schema import dotdict
+from langflow.schema.graph import Tweaks
+from langflow.schema.schema import InputType, OutputLog, OutputType
+from langflow.services.database.models.api_key.model import ApiKeyRead
+from langflow.services.database.models.base import orjson_dumps
+from langflow.services.database.models.flow import FlowCreate, FlowRead
+from langflow.services.database.models.user import UserRead
+
+
+class BuildStatus(Enum):
+    """Status of the build."""
+
+    SUCCESS = "success"
+    FAILURE = "failure"
+    STARTED = "started"
+    IN_PROGRESS = "in_progress"
+
+
+class TweaksRequest(BaseModel):
+    tweaks: Optional[Dict[str, Dict[str, Any]]] = Field(default_factory=dict)
+
+
+class UpdateTemplateRequest(BaseModel):
+    template: dict
+
+
+class TaskResponse(BaseModel):
+    """Task response schema."""
+
+    id: Optional[str] = Field(None)
+    href: Optional[str] = Field(None)
+
+
+class ProcessResponse(BaseModel):
+    """Process response schema."""
+
+    result: Any
+    status: Optional[str] = None
+    task: Optional[TaskResponse] = None
+    session_id: Optional[str] = None
+    backend: Optional[str] = None
+
+
+class RunResponse(BaseModel):
+    """Run response schema."""
+
+    outputs: Optional[List[RunOutputs]] = []
+    session_id: Optional[str] = None
+
+    @model_serializer(mode="plain")
+    def serialize(self):
+        # Serialize all the outputs if they are base models
+        serialized = {"session_id": self.session_id, "outputs": []}
+        if self.outputs:
+            serialized_outputs = []
+            for output in self.outputs:
+                if isinstance(output, BaseModel) and not isinstance(output, RunOutputs):
+                    serialized_outputs.append(output.model_dump(exclude_none=True))
+                else:
+                    serialized_outputs.append(output)
+            serialized["outputs"] = serialized_outputs
+        return serialized
+
+
+class PreloadResponse(BaseModel):
+    """Preload response schema."""
+
+    session_id: Optional[str] = None
+    is_clear: Optional[bool] = None
+
+
+class TaskStatusResponse(BaseModel):
+    """Task status response schema."""
+
+    status: str
+    result: Optional[Any] = None
+
+
+class ChatMessage(BaseModel):
+    """Chat message schema."""
+
+    is_bot: bool = False
+    message: Union[str, None, dict] = None
+    chatKey: Optional[str] = None
+    type: str = "human"
+
+
+class ChatResponse(ChatMessage):
+    """Chat response schema."""
+
+    intermediate_steps: str
+
+    type: str
+    is_bot: bool = True
+    files: list = []
+
+    @field_validator("type")
+    @classmethod
+    def validate_message_type(cls, v):
+        if v not in ["start", "stream", "end", "error", "info", "file"]:
+            raise ValueError("type must be start, stream, end, error, info, or file")
+        return v
+
+
+class PromptResponse(ChatMessage):
+    """Prompt response schema."""
+
+    prompt: str
+    type: str = "prompt"
+    is_bot: bool = True
+
+
+class FileResponse(ChatMessage):
+    """File response schema."""
+
+    data: Any = None
+    data_type: str
+    type: str = "file"
+    is_bot: bool = True
+
+    @field_validator("data_type")
+    @classmethod
+    def validate_data_type(cls, v):
+        if v not in ["image", "csv"]:
+            raise ValueError("data_type must be image or csv")
+        return v
+
+
+class FlowListCreate(BaseModel):
+    flows: List[FlowCreate]
+
+
+class FlowListIds(BaseModel):
+    flow_ids: List[str]
+
+
+class FlowListRead(BaseModel):
+    flows: List[FlowRead]
+
+
+class FlowListReadWithFolderName(BaseModel):
+    flows: List[FlowRead]
+    name: str
+    description: str
+
+
+class InitResponse(BaseModel):
+    flowId: str
+
+
+class BuiltResponse(BaseModel):
+    built: bool
+
+
+class UploadFileResponse(BaseModel):
+    """Upload file response schema."""
+
+    flowId: str
+    file_path: Path
+
+
+class StreamData(BaseModel):
+    event: str
+    data: dict
+
+    def __str__(self) -> str:
+        return f"event: {self.event}\ndata: {orjson_dumps(self.data, indent_2=False)}\n\n"
+
+
+class CustomComponentRequest(BaseModel):
+    model_config = ConfigDict(arbitrary_types_allowed=True)
+    code: str
+    frontend_node: Optional[dict] = None
+
+
+class CustomComponentResponse(BaseModel):
+    data: dict
+    type: str
+
+
+class UpdateCustomComponentRequest(CustomComponentRequest):
+    field: str
+    field_value: Optional[Union[str, int, float, bool, dict, list]] = None
+    template: dict
+
+    def get_template(self):
+        return dotdict(self.template)
+
+
+class CustomComponentResponseError(BaseModel):
+    detail: str
+    traceback: str
+
+
+class ComponentListCreate(BaseModel):
+    flows: List[FlowCreate]
+
+
+class ComponentListRead(BaseModel):
+    flows: List[FlowRead]
+
+
+class UsersResponse(BaseModel):
+    total_count: int
+    users: List[UserRead]
+
+
+class ApiKeyResponse(BaseModel):
+    id: str
+    api_key: str
+    name: str
+    created_at: str
+    last_used_at: str
+
+
+class ApiKeysResponse(BaseModel):
+    total_count: int
+    user_id: UUID
+    api_keys: List[ApiKeyRead]
+
+
+class CreateApiKeyRequest(BaseModel):
+    name: str
+
+
+class Token(BaseModel):
+    access_token: str
+    refresh_token: str
+    token_type: str
+
+
+class ApiKeyCreateRequest(BaseModel):
+    api_key: str
+
+
+class VerticesOrderResponse(BaseModel):
+    ids: List[str]
+    run_id: UUID
+    vertices_to_run: List[str]
+
+
+class ResultDataResponse(BaseModel):
+    results: Optional[Any] = Field(default_factory=dict)
+    outputs: dict[str, OutputLog] = Field(default_factory=dict)
+    message: Optional[Any] = Field(default_factory=dict)
+    artifacts: Optional[Any] = Field(default_factory=dict)
+    timedelta: Optional[float] = None
+    duration: Optional[str] = None
+    used_frozen_result: Optional[bool] = False
+
+
+class VertexBuildResponse(BaseModel):
+    id: Optional[str] = None
+    inactivated_vertices: Optional[List[str]] = None
+    next_vertices_ids: Optional[List[str]] = None
+    top_level_vertices: Optional[List[str]] = None
+    valid: bool
+    params: Optional[Any] = Field(default_factory=dict)
+    """JSON string of the params."""
+    data: ResultDataResponse
+    """Mapping of vertex ids to result dict containing the param name and result value."""
+    timestamp: Optional[datetime] = Field(default_factory=lambda: datetime.now(timezone.utc))
+    """Timestamp of the build."""
+
+
+class VerticesBuiltResponse(BaseModel):
+    vertices: List[VertexBuildResponse]
+
+
+class InputValueRequest(BaseModel):
+    components: Optional[List[str]] = []
+    input_value: Optional[str] = None
+    type: Optional[InputType] = Field(
+        "any",
+        description="Defines on which components the input value should be applied. 'any' applies to all input components.",
+    )
+
+    # add an example
+    model_config = ConfigDict(
+        json_schema_extra={
+            "examples": [
+                {
+                    "components": ["components_id", "Component Name"],
+                    "input_value": "input_value",
+                },
+                {"components": ["Component Name"], "input_value": "input_value"},
+                {"input_value": "input_value"},
+                {"type": "chat", "input_value": "input_value"},
+                {"type": "json", "input_value": '{"key": "value"}'},
+            ]
+        },
+        extra="forbid",
+    )
+
+
+class SimplifiedAPIRequest(BaseModel):
+    input_value: Optional[str] = Field(default="", description="The input value")
+    input_type: Optional[InputType] = Field(default="chat", description="The input type")
+    output_type: Optional[OutputType] = Field(default="chat", description="The output type")
+    output_component: Optional[str] = Field(
+        default="",
+        description="If there are multiple output components, you can specify the component to get the output from.",
+    )
+    tweaks: Optional[Tweaks] = Field(default=None, description="The tweaks")
+    session_id: Optional[str] = Field(default=None, description="The session id")
+
+
+# (alias) type ReactFlowJsonObject<NodeData = any, EdgeData = any> = {
+#     nodes: Node<NodeData>[];
+#     edges: Edge<EdgeData>[];
+#     viewport: Viewport;
+# }
+# import ReactFlowJsonObject
+class FlowDataRequest(BaseModel):
+    nodes: List[dict]
+    edges: List[dict]
+    viewport: Optional[dict] = None
+
+
+class ConfigResponse(BaseModel):
+    frontend_timeout: int
diff --git a/src/backend/langflow/api/v1/store.py b/src/backend/base/langflow/api/v1/store.py
similarity index 92%
rename from src/backend/langflow/api/v1/store.py
rename to src/backend/base/langflow/api/v1/store.py
index 313b0638b1b..d645480d096 100644
--- a/src/backend/langflow/api/v1/store.py
+++ b/src/backend/base/langflow/api/v1/store.py
@@ -2,6 +2,7 @@
 from uuid import UUID
 
 from fastapi import APIRouter, Depends, HTTPException, Query
+from loguru import logger
 
 from langflow.api.utils import check_langflow_version
 from langflow.services.auth import utils as auth_utils
@@ -27,8 +28,11 @@ def get_user_store_api_key(
 ):
     if not user.store_api_key:
         raise HTTPException(status_code=400, detail="You must have a store API key set.")
-    decrypted = auth_utils.decrypt_api_key(user.store_api_key, settings_service)
-    return decrypted
+    try:
+        decrypted = auth_utils.decrypt_api_key(user.store_api_key, settings_service)
+        return decrypted
+    except Exception as e:
+        raise HTTPException(status_code=500, detail="Failed to decrypt API key. Please set a new one.") from e
 
 
 def get_optional_user_store_api_key(
@@ -37,8 +41,12 @@ def get_optional_user_store_api_key(
 ):
     if not user.store_api_key:
         return None
-    decrypted = auth_utils.decrypt_api_key(user.store_api_key, settings_service)
-    return decrypted
+    try:
+        decrypted = auth_utils.decrypt_api_key(user.store_api_key, settings_service)
+        return decrypted
+    except Exception as e:
+        logger.error(f"Failed to decrypt API key: {e}")
+        return user.store_api_key
 
 
 @router.get("/check/")
@@ -46,7 +54,7 @@ def check_if_store_is_enabled(
     settings_service=Depends(get_settings_service),
 ):
     return {
-        "enabled": settings_service.settings.STORE,
+        "enabled": settings_service.settings.store,
     }
 
 
diff --git a/src/backend/langflow/api/v1/users.py b/src/backend/base/langflow/api/v1/users.py
similarity index 94%
rename from src/backend/langflow/api/v1/users.py
rename to src/backend/base/langflow/api/v1/users.py
index 7a6d4b7c6fe..f7261e9d261 100644
--- a/src/backend/langflow/api/v1/users.py
+++ b/src/backend/base/langflow/api/v1/users.py
@@ -13,6 +13,7 @@
     get_password_hash,
     verify_password,
 )
+from langflow.services.database.models.folder.utils import create_default_folder_if_it_doesnt_exist
 from langflow.services.database.models.user import User, UserCreate, UserRead, UserUpdate
 from langflow.services.database.models.user.crud import get_user_by_id, update_user
 from langflow.services.deps import get_session, get_settings_service
@@ -36,6 +37,9 @@ def add_user(
         session.add(new_user)
         session.commit()
         session.refresh(new_user)
+        folder = create_default_folder_if_it_doesnt_exist(session, new_user.id)
+        if not folder:
+            raise HTTPException(status_code=500, detail="Error creating default folder")
     except IntegrityError as e:
         session.rollback()
         raise HTTPException(status_code=400, detail="This username is unavailable.") from e
diff --git a/src/backend/base/langflow/api/v1/validate.py b/src/backend/base/langflow/api/v1/validate.py
new file mode 100644
index 00000000000..bd36d95f589
--- /dev/null
+++ b/src/backend/base/langflow/api/v1/validate.py
@@ -0,0 +1,47 @@
+from fastapi import APIRouter, HTTPException
+from loguru import logger
+
+from langflow.api.v1.base import Code, CodeValidationResponse, PromptValidationResponse, ValidatePromptRequest
+from langflow.base.prompts.api_utils import process_prompt_template
+from langflow.utils.validate import validate_code
+
+# build router
+router = APIRouter(prefix="/validate", tags=["Validate"])
+
+
+@router.post("/code", status_code=200, response_model=CodeValidationResponse)
+def post_validate_code(code: Code):
+    try:
+        errors = validate_code(code.code)
+        return CodeValidationResponse(
+            imports=errors.get("imports", {}),
+            function=errors.get("function", {}),
+        )
+    except Exception as e:
+        return HTTPException(status_code=500, detail=str(e))
+
+
+@router.post("/prompt", status_code=200, response_model=PromptValidationResponse)
+def post_validate_prompt(prompt_request: ValidatePromptRequest):
+    try:
+        if not prompt_request.frontend_node:
+            return PromptValidationResponse(
+                input_variables=[],
+                frontend_node=None,
+            )
+
+        # Process the prompt template using direct attributes
+        input_variables = process_prompt_template(
+            template=prompt_request.template,
+            name=prompt_request.name,
+            custom_fields=prompt_request.frontend_node.custom_fields,
+            frontend_node_template=prompt_request.frontend_node.template,
+        )
+
+        return PromptValidationResponse(
+            input_variables=input_variables,
+            frontend_node=prompt_request.frontend_node,
+        )
+    except Exception as e:
+        logger.exception(e)
+        raise HTTPException(status_code=500, detail=str(e)) from e
diff --git a/src/backend/base/langflow/api/v1/variable.py b/src/backend/base/langflow/api/v1/variable.py
new file mode 100644
index 00000000000..f992c142923
--- /dev/null
+++ b/src/backend/base/langflow/api/v1/variable.py
@@ -0,0 +1,117 @@
+from datetime import datetime, timezone
+from uuid import UUID
+
+from fastapi import APIRouter, Depends, HTTPException
+from sqlmodel import Session, select
+
+from langflow.services.auth import utils as auth_utils
+from langflow.services.auth.utils import get_current_active_user
+from langflow.services.database.models.user.model import User
+from langflow.services.database.models.variable import Variable, VariableCreate, VariableRead, VariableUpdate
+from langflow.services.deps import get_session, get_settings_service
+
+router = APIRouter(prefix="/variables", tags=["Variables"])
+
+
+@router.post("/", response_model=VariableRead, status_code=201)
+def create_variable(
+    *,
+    session: Session = Depends(get_session),
+    variable: VariableCreate,
+    current_user: User = Depends(get_current_active_user),
+    settings_service=Depends(get_settings_service),
+):
+    """Create a new variable."""
+    try:
+        # check if variable name already exists
+        variable_exists = session.exec(
+            select(Variable).where(
+                Variable.name == variable.name,
+                Variable.user_id == current_user.id,
+            )
+        ).first()
+        if variable_exists:
+            raise HTTPException(status_code=400, detail="Variable name already exists")
+
+        variable_dict = variable.model_dump()
+        variable_dict["user_id"] = current_user.id
+
+        db_variable = Variable.model_validate(variable_dict)
+        if not db_variable.name and not db_variable.value:
+            raise HTTPException(status_code=400, detail="Variable name and value cannot be empty")
+        elif not db_variable.name:
+            raise HTTPException(status_code=400, detail="Variable name cannot be empty")
+        elif not db_variable.value:
+            raise HTTPException(status_code=400, detail="Variable value cannot be empty")
+        encrypted = auth_utils.encrypt_api_key(db_variable.value, settings_service=settings_service)
+        db_variable.value = encrypted
+        db_variable.user_id = current_user.id
+        session.add(db_variable)
+        session.commit()
+        session.refresh(db_variable)
+        return db_variable
+    except Exception as e:
+        if isinstance(e, HTTPException):
+            raise e
+        raise HTTPException(status_code=500, detail=str(e)) from e
+
+
+@router.get("/", response_model=list[VariableRead], status_code=200)
+def read_variables(
+    *,
+    session: Session = Depends(get_session),
+    current_user: User = Depends(get_current_active_user),
+):
+    """Read all variables."""
+    try:
+        variables = session.exec(select(Variable).where(Variable.user_id == current_user.id)).all()
+        return variables
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e)) from e
+
+
+@router.patch("/{variable_id}", response_model=VariableRead, status_code=200)
+def update_variable(
+    *,
+    session: Session = Depends(get_session),
+    variable_id: UUID,
+    variable: VariableUpdate,
+    current_user: User = Depends(get_current_active_user),
+):
+    """Update a variable."""
+    try:
+        db_variable = session.exec(
+            select(Variable).where(Variable.id == variable_id, Variable.user_id == current_user.id)
+        ).first()
+        if not db_variable:
+            raise HTTPException(status_code=404, detail="Variable not found")
+
+        variable_data = variable.model_dump(exclude_unset=True)
+        for key, value in variable_data.items():
+            setattr(db_variable, key, value)
+        db_variable.updated_at = datetime.now(timezone.utc)
+        session.commit()
+        session.refresh(db_variable)
+        return db_variable
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e)) from e
+
+
+@router.delete("/{variable_id}", status_code=204)
+def delete_variable(
+    *,
+    session: Session = Depends(get_session),
+    variable_id: UUID,
+    current_user: User = Depends(get_current_active_user),
+):
+    """Delete a variable."""
+    try:
+        db_variable = session.exec(
+            select(Variable).where(Variable.id == variable_id, Variable.user_id == current_user.id)
+        ).first()
+        if not db_variable:
+            raise HTTPException(status_code=404, detail="Variable not found")
+        session.delete(db_variable)
+        session.commit()
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e)) from e
diff --git a/src/backend/langflow/components/chains/__init__.py b/src/backend/base/langflow/base/__init__.py
similarity index 100%
rename from src/backend/langflow/components/chains/__init__.py
rename to src/backend/base/langflow/base/__init__.py
diff --git a/src/backend/langflow/components/custom_components/__init__.py b/src/backend/base/langflow/base/agents/__init__.py
similarity index 100%
rename from src/backend/langflow/components/custom_components/__init__.py
rename to src/backend/base/langflow/base/agents/__init__.py
diff --git a/src/backend/base/langflow/base/agents/agent.py b/src/backend/base/langflow/base/agents/agent.py
new file mode 100644
index 00000000000..b24cf1984b3
--- /dev/null
+++ b/src/backend/base/langflow/base/agents/agent.py
@@ -0,0 +1,78 @@
+from typing import List, Optional, Union, cast
+
+from langchain.agents import AgentExecutor, BaseMultiActionAgent, BaseSingleActionAgent
+from langchain_core.messages import BaseMessage
+from langchain_core.runnables import Runnable
+
+from langflow.base.agents.utils import data_to_messages, get_agents_list
+from langflow.custom import CustomComponent
+from langflow.field_typing import Text, Tool
+from langflow.schema import Data
+
+
+class LCAgentComponent(CustomComponent):
+    def get_agents_list(self):
+        return get_agents_list()
+
+    def build_config(self):
+        return {
+            "lc": {
+                "display_name": "LangChain",
+                "info": "The LangChain to interact with.",
+            },
+            "handle_parsing_errors": {
+                "display_name": "Handle Parsing Errors",
+                "info": "If True, the agent will handle parsing errors. If False, the agent will raise an error.",
+                "advanced": True,
+            },
+            "output_key": {
+                "display_name": "Output Key",
+                "info": "The key to use to get the output from the agent.",
+                "advanced": True,
+            },
+            "memory": {
+                "display_name": "Memory",
+                "info": "Memory to use for the agent.",
+            },
+            "tools": {
+                "display_name": "Tools",
+                "info": "Tools the agent can use.",
+            },
+            "input_value": {
+                "display_name": "Input",
+                "info": "Input text to pass to the agent.",
+            },
+        }
+
+    async def run_agent(
+        self,
+        agent: Union[Runnable, BaseSingleActionAgent, BaseMultiActionAgent, AgentExecutor],
+        inputs: str,
+        tools: List[Tool],
+        message_history: Optional[List[Data]] = None,
+        handle_parsing_errors: bool = True,
+        output_key: str = "output",
+    ) -> Text:
+        if isinstance(agent, AgentExecutor):
+            runnable = agent
+        else:
+            runnable = AgentExecutor.from_agent_and_tools(
+                agent=agent,  # type: ignore
+                tools=tools,
+                verbose=True,
+                handle_parsing_errors=handle_parsing_errors,
+            )
+        input_dict: dict[str, str | list[BaseMessage]] = {"input": inputs}
+        if message_history:
+            input_dict["chat_history"] = data_to_messages(message_history)
+        result = await runnable.ainvoke(input_dict)
+        self.status = result
+        if output_key in result:
+            return cast(str, result.get(output_key))
+        elif "output" not in result:
+            if output_key != "output":
+                raise ValueError(f"Output key not found in result. Tried '{output_key}' and 'output'.")
+            else:
+                raise ValueError("Output key not found in result. Tried 'output'.")
+
+        return cast(str, result.get("output"))
diff --git a/src/backend/base/langflow/base/agents/default_prompts.py b/src/backend/base/langflow/base/agents/default_prompts.py
new file mode 100644
index 00000000000..04e3948130c
--- /dev/null
+++ b/src/backend/base/langflow/base/agents/default_prompts.py
@@ -0,0 +1,23 @@
+XML_AGENT_PROMPT = """You are a helpful assistant. Help the user answer any questions.
+
+            You have access to the following tools:
+
+            {tools}
+
+            In order to use a tool, you can use <tool></tool> and <tool_input></tool_input> tags. You will then get back a response in the form <observation></observation>
+            For example, if you have a tool called 'search' that could run a google search, in order to search for the weather in SF you would respond:
+
+            <tool>search</tool><tool_input>weather in SF</tool_input>
+            <observation>64 degrees</observation>
+
+            When you are done, respond with a final answer between <final_answer></final_answer>. For example:
+
+            <final_answer>The weather in SF is 64 degrees</final_answer>
+
+            Begin!
+
+            Previous Conversation:
+            {chat_history}
+
+            Question: {input}
+            {agent_scratchpad}"""
diff --git a/src/backend/base/langflow/base/agents/utils.py b/src/backend/base/langflow/base/agents/utils.py
new file mode 100644
index 00000000000..2651ecb4a26
--- /dev/null
+++ b/src/backend/base/langflow/base/agents/utils.py
@@ -0,0 +1,143 @@
+from typing import Any, Callable, Dict, List, Optional, Sequence, Union
+
+from langchain.agents import (
+    create_json_chat_agent,
+    create_openai_tools_agent,
+    create_tool_calling_agent,
+    create_xml_agent,
+)
+from langchain.agents.xml.base import render_text_description
+from langchain_core.language_models import BaseLanguageModel
+from langchain_core.messages import BaseMessage
+from langchain_core.prompts import BasePromptTemplate, ChatPromptTemplate
+from langchain_core.tools import BaseTool
+from pydantic import BaseModel
+
+from langflow.schema import Data
+
+from .default_prompts import XML_AGENT_PROMPT
+
+
+class AgentSpec(BaseModel):
+    func: Callable[
+        [
+            BaseLanguageModel,
+            Sequence[BaseTool],
+            BasePromptTemplate | ChatPromptTemplate,
+            Optional[Callable[[List[BaseTool]], str]],
+            Optional[Union[bool, List[str]]],
+        ],
+        Any,
+    ]
+    prompt: Optional[Any] = None
+    fields: List[str]
+    hub_repo: Optional[str] = None
+
+
+def data_to_messages(data: List[Data]) -> List[BaseMessage]:
+    """
+    Convert a list of data to a list of messages.
+
+    Args:
+        data (List[Data]): The data to convert.
+
+    Returns:
+        List[Message]: The data as messages.
+    """
+    return [value.to_lc_message() for value in data]
+
+
+def validate_and_create_xml_agent(
+    llm: BaseLanguageModel,
+    tools: Sequence[BaseTool],
+    prompt: BasePromptTemplate,
+    tools_renderer: Callable[[List[BaseTool]], str] = render_text_description,
+    *,
+    stop_sequence: Union[bool, List[str]] = True,
+):
+    return create_xml_agent(
+        llm=llm,
+        tools=tools,
+        prompt=prompt,
+        tools_renderer=tools_renderer,
+        stop_sequence=stop_sequence,
+    )
+
+
+def validate_and_create_openai_tools_agent(
+    llm: BaseLanguageModel,
+    tools: Sequence[BaseTool],
+    prompt: ChatPromptTemplate,
+    tools_renderer: Callable[[List[BaseTool]], str] = render_text_description,
+    *,
+    stop_sequence: Union[bool, List[str]] = True,
+):
+    return create_openai_tools_agent(
+        llm=llm,
+        tools=tools,
+        prompt=prompt,
+    )
+
+
+def validate_and_create_tool_calling_agent(
+    llm: BaseLanguageModel,
+    tools: Sequence[BaseTool],
+    prompt: ChatPromptTemplate,
+    tools_renderer: Callable[[List[BaseTool]], str] = render_text_description,
+    *,
+    stop_sequence: Union[bool, List[str]] = True,
+):
+    return create_tool_calling_agent(
+        llm=llm,
+        tools=tools,
+        prompt=prompt,
+    )
+
+
+def validate_and_create_json_chat_agent(
+    llm: BaseLanguageModel,
+    tools: Sequence[BaseTool],
+    prompt: ChatPromptTemplate,
+    tools_renderer: Callable[[List[BaseTool]], str] = render_text_description,
+    *,
+    stop_sequence: Union[bool, List[str]] = True,
+):
+    return create_json_chat_agent(
+        llm=llm,
+        tools=tools,
+        prompt=prompt,
+        tools_renderer=tools_renderer,
+        stop_sequence=stop_sequence,
+    )
+
+
+AGENTS: Dict[str, AgentSpec] = {
+    "Tool Calling Agent": AgentSpec(
+        func=validate_and_create_tool_calling_agent,
+        prompt=None,
+        fields=["llm", "tools", "prompt"],
+        hub_repo=None,
+    ),
+    "XML Agent": AgentSpec(
+        func=validate_and_create_xml_agent,
+        prompt=XML_AGENT_PROMPT,  # Ensure XML_AGENT_PROMPT is properly defined and typed.
+        fields=["llm", "tools", "prompt", "tools_renderer", "stop_sequence"],
+        hub_repo="hwchase17/xml-agent-convo",
+    ),
+    "OpenAI Tools Agent": AgentSpec(
+        func=validate_and_create_openai_tools_agent,
+        prompt=None,
+        fields=["llm", "tools", "prompt"],
+        hub_repo=None,
+    ),
+    "JSON Chat Agent": AgentSpec(
+        func=validate_and_create_json_chat_agent,
+        prompt=None,
+        fields=["llm", "tools", "prompt", "tools_renderer", "stop_sequence"],
+        hub_repo="hwchase17/react-chat-json",
+    ),
+}
+
+
+def get_agents_list():
+    return list(AGENTS.keys())
diff --git a/src/backend/base/langflow/base/constants.py b/src/backend/base/langflow/base/constants.py
new file mode 100644
index 00000000000..8c3f52845da
--- /dev/null
+++ b/src/backend/base/langflow/base/constants.py
@@ -0,0 +1,35 @@
+"""
+This module contains constants used in the Langflow base module.
+
+Constants:
+- STREAM_INFO_TEXT: A string representing the information about streaming the response from the model.
+- NODE_FORMAT_ATTRIBUTES: A list of attributes used for formatting nodes.
+- FIELD_FORMAT_ATTRIBUTES: A list of attributes used for formatting fields.
+"""
+
+import orjson
+
+STREAM_INFO_TEXT = "Stream the response from the model. Streaming works only in Chat."
+
+NODE_FORMAT_ATTRIBUTES = ["beta", "icon", "display_name", "description", "output_types", "edited"]
+
+
+FIELD_FORMAT_ATTRIBUTES = [
+    "info",
+    "display_name",
+    "required",
+    "list",
+    "multiline",
+    "fileTypes",
+    "password",
+    "input_types",
+    "title_case",
+    "real_time_refresh",
+    "refresh_button",
+    "refresh_button_text",
+    "options",
+    "advanced",
+    "load_from_db",
+]
+
+ORJSON_OPTIONS = orjson.OPT_INDENT_2 | orjson.OPT_SORT_KEYS | orjson.OPT_OMIT_MICROSECONDS
diff --git a/src/backend/langflow/components/documentloaders/__init__.py b/src/backend/base/langflow/base/curl/__init__.py
similarity index 100%
rename from src/backend/langflow/components/documentloaders/__init__.py
rename to src/backend/base/langflow/base/curl/__init__.py
diff --git a/src/backend/base/langflow/base/curl/parse.py b/src/backend/base/langflow/base/curl/parse.py
new file mode 100644
index 00000000000..bb58e8fa2f6
--- /dev/null
+++ b/src/backend/base/langflow/base/curl/parse.py
@@ -0,0 +1,174 @@
+"""
+This file contains a fix for the implementation of the `uncurl` library, which is available at https://github.com/spulec/uncurl.git.
+
+The `uncurl` library provides a way to parse and convert cURL commands into Python requests. However, there are some issues with the original implementation that this file aims to fix.
+
+The `parse_context` function in this file takes a cURL command as input and returns a `ParsedContext` object, which contains the parsed information from the cURL command, such as the HTTP method, URL, headers, cookies, etc.
+
+The `normalize_newlines` function is a helper function that replaces the line continuation character ("\") followed by a newline with a space.
+
+
+"""
+
+import re
+import shlex
+from collections import OrderedDict, namedtuple
+from http.cookies import SimpleCookie
+
+ParsedArgs = namedtuple(
+    "ParsedArgs",
+    [
+        "command",
+        "url",
+        "data",
+        "data_binary",
+        "method",
+        "headers",
+        "compressed",
+        "insecure",
+        "user",
+        "include",
+        "silent",
+        "proxy",
+        "proxy_user",
+        "cookies",
+    ],
+)
+
+ParsedContext = namedtuple("ParsedContext", ["method", "url", "data", "headers", "cookies", "verify", "auth", "proxy"])
+
+
+def normalize_newlines(multiline_text):
+    return multiline_text.replace(" \\\n", " ")
+
+
+def parse_curl_command(curl_command):
+    tokens = shlex.split(normalize_newlines(curl_command))
+    tokens = [token for token in tokens if token and token != " "]
+    if tokens and "curl" not in tokens[0]:
+        raise ValueError("Invalid curl command")
+    args_template = {
+        "command": None,
+        "url": None,
+        "data": None,
+        "data_binary": None,
+        "method": "get",
+        "headers": [],
+        "compressed": False,
+        "insecure": False,
+        "user": (),
+        "include": False,
+        "silent": False,
+        "proxy": None,
+        "proxy_user": None,
+        "cookies": {},
+    }
+    args = args_template.copy()
+    method_on_curl = None
+    i = 0
+    while i < len(tokens):
+        token = tokens[i]
+        if token == "-X":
+            i += 1
+            args["method"] = tokens[i].lower()
+            method_on_curl = tokens[i].lower()
+        elif token in ("-d", "--data"):
+            i += 1
+            args["data"] = tokens[i]
+        elif token in ("-b", "--data-binary", "--data-raw"):
+            i += 1
+            args["data_binary"] = tokens[i]
+        elif token in ("-H", "--header"):
+            i += 1
+            args["headers"].append(tokens[i])
+        elif token == "--compressed":
+            args["compressed"] = True
+        elif token in ("-k", "--insecure"):
+            args["insecure"] = True
+        elif token in ("-u", "--user"):
+            i += 1
+            args["user"] = tuple(tokens[i].split(":"))
+        elif token in ("-I", "--include"):
+            args["include"] = True
+        elif token in ("-s", "--silent"):
+            args["silent"] = True
+        elif token in ("-x", "--proxy"):
+            i += 1
+            args["proxy"] = tokens[i]
+        elif token in ("-U", "--proxy-user"):
+            i += 1
+            args["proxy_user"] = tokens[i]
+        elif not token.startswith("-"):
+            if args["command"] is None:
+                args["command"] = token
+            else:
+                args["url"] = token
+        i += 1
+
+    args["method"] = method_on_curl or args["method"]
+
+    return ParsedArgs(**args)
+
+
+def parse_context(curl_command):
+    method = "get"
+    if not curl_command:
+        return ParsedContext(
+            method=method, url="", data=None, headers={}, cookies={}, verify=True, auth=None, proxy=None
+        )
+
+    parsed_args: ParsedArgs = parse_curl_command(curl_command)
+
+    post_data = parsed_args.data or parsed_args.data_binary
+    if post_data:
+        method = "post"
+
+    if parsed_args.method:
+        method = parsed_args.method.lower()
+
+    cookie_dict = OrderedDict()
+    quoted_headers = OrderedDict()
+
+    for curl_header in parsed_args.headers:
+        if curl_header.startswith(":"):
+            occurrence = [m.start() for m in re.finditer(":", curl_header)]
+            header_key, header_value = curl_header[: occurrence[1]], curl_header[occurrence[1] + 1 :]
+        else:
+            header_key, header_value = curl_header.split(":", 1)
+
+        if header_key.lower().strip("$") == "cookie":
+            cookie = SimpleCookie(bytes(header_value, "ascii").decode("unicode-escape"))
+            for key in cookie:
+                cookie_dict[key] = cookie[key].value
+        else:
+            quoted_headers[header_key] = header_value.strip()
+
+    # add auth
+    user = parsed_args.user
+    if parsed_args.user:
+        user = tuple(user.split(":"))
+
+    # add proxy and its authentication if it's available.
+    proxies = parsed_args.proxy
+    # proxy_auth = parsed_args.proxy_user
+    if parsed_args.proxy and parsed_args.proxy_user:
+        proxies = {
+            "http": "http://{}@{}/".format(parsed_args.proxy_user, parsed_args.proxy),
+            "https": "http://{}@{}/".format(parsed_args.proxy_user, parsed_args.proxy),
+        }
+    elif parsed_args.proxy:
+        proxies = {
+            "http": "http://{}/".format(parsed_args.proxy),
+            "https": "http://{}/".format(parsed_args.proxy),
+        }
+
+    return ParsedContext(
+        method=method,
+        url=parsed_args.url,
+        data=post_data,
+        headers=quoted_headers,
+        cookies=cookie_dict,
+        verify=parsed_args.insecure,
+        auth=user,
+        proxy=proxies,
+    )
diff --git a/src/backend/langflow/components/embeddings/__init__.py b/src/backend/base/langflow/base/data/__init__.py
similarity index 100%
rename from src/backend/langflow/components/embeddings/__init__.py
rename to src/backend/base/langflow/base/data/__init__.py
diff --git a/src/backend/base/langflow/base/data/utils.py b/src/backend/base/langflow/base/data/utils.py
new file mode 100644
index 00000000000..7f8a41831fd
--- /dev/null
+++ b/src/backend/base/langflow/base/data/utils.py
@@ -0,0 +1,185 @@
+import unicodedata
+import xml.etree.ElementTree as ET
+from concurrent import futures
+from pathlib import Path
+from typing import Callable, List, Optional
+
+import chardet
+import orjson
+import yaml
+
+from langflow.schema import Data
+
+# Types of files that can be read simply by file.read()
+# and have 100% to be completely readable
+TEXT_FILE_TYPES = [
+    "txt",
+    "md",
+    "mdx",
+    "csv",
+    "json",
+    "yaml",
+    "yml",
+    "xml",
+    "html",
+    "htm",
+    "pdf",
+    "docx",
+    "py",
+    "sh",
+    "sql",
+    "js",
+    "ts",
+    "tsx",
+]
+
+IMG_FILE_TYPES = ["jpg", "jpeg", "png", "bmp", "image"]
+
+
+def normalize_text(text):
+    return unicodedata.normalize("NFKD", text)
+
+
+def is_hidden(path: Path) -> bool:
+    return path.name.startswith(".")
+
+
+def retrieve_file_paths(
+    path: str,
+    load_hidden: bool,
+    recursive: bool,
+    depth: int,
+    types: List[str] = TEXT_FILE_TYPES,
+) -> List[str]:
+    path_obj = Path(path)
+    if not path_obj.exists() or not path_obj.is_dir():
+        raise ValueError(f"Path {path} must exist and be a directory.")
+
+    def match_types(p: Path) -> bool:
+        return any(p.suffix == f".{t}" for t in types) if types else True
+
+    def is_not_hidden(p: Path) -> bool:
+        return not is_hidden(p) or load_hidden
+
+    def walk_level(directory: Path, max_depth: int):
+        directory = directory.resolve()
+        prefix_length = len(directory.parts)
+        for p in directory.rglob("*" if recursive else "[!.]*"):
+            if len(p.parts) - prefix_length <= max_depth:
+                yield p
+
+    glob = "**/*" if recursive else "*"
+    paths = walk_level(path_obj, depth) if depth else path_obj.glob(glob)
+    file_paths = [str(p) for p in paths if p.is_file() and match_types(p) and is_not_hidden(p)]
+
+    return file_paths
+
+
+def partition_file_to_data(file_path: str, silent_errors: bool) -> Optional[Data]:
+    # Use the partition function to load the file
+    from unstructured.partition.auto import partition  # type: ignore
+
+    try:
+        elements = partition(file_path)
+    except Exception as e:
+        if not silent_errors:
+            raise ValueError(f"Error loading file {file_path}: {e}") from e
+        return None
+
+    # Create a Data
+    text = "\n\n".join([str(el) for el in elements])
+    metadata = elements.metadata if hasattr(elements, "metadata") else {}
+    metadata["file_path"] = file_path
+    record = Data(text=text, data=metadata)
+    return record
+
+
+def read_text_file(file_path: str) -> str:
+    with open(file_path, "rb") as f:
+        raw_data = f.read()
+        result = chardet.detect(raw_data)
+        encoding = result["encoding"]
+
+        if encoding in ["Windows-1252", "Windows-1254", "MacRoman"]:
+            encoding = "utf-8"
+
+    with open(file_path, "r", encoding=encoding) as f:
+        return f.read()
+
+
+def read_docx_file(file_path: str) -> str:
+    from docx import Document  # type: ignore
+
+    doc = Document(file_path)
+    return "\n\n".join([p.text for p in doc.paragraphs])
+
+
+def parse_pdf_to_text(file_path: str) -> str:
+    from pypdf import PdfReader  # type: ignore
+
+    with open(file_path, "rb") as f:
+        reader = PdfReader(f)
+        return "\n\n".join([page.extract_text() for page in reader.pages])
+
+
+def parse_text_file_to_data(file_path: str, silent_errors: bool) -> Optional[Data]:
+    try:
+        if file_path.endswith(".pdf"):
+            text = parse_pdf_to_text(file_path)
+        elif file_path.endswith(".docx"):
+            text = read_docx_file(file_path)
+        else:
+            text = read_text_file(file_path)
+
+        # if file is json, yaml, or xml, we can parse it
+        if file_path.endswith(".json"):
+            text = orjson.loads(text)
+            if isinstance(text, dict):
+                text = {k: normalize_text(v) if isinstance(v, str) else v for k, v in text.items()}
+            elif isinstance(text, list):
+                text = [normalize_text(item) if isinstance(item, str) else item for item in text]
+            text = orjson.dumps(text).decode("utf-8")
+
+        elif file_path.endswith(".yaml") or file_path.endswith(".yml"):
+            text = yaml.safe_load(text)
+        elif file_path.endswith(".xml"):
+            xml_element = ET.fromstring(text)
+            text = ET.tostring(xml_element, encoding="unicode")
+    except Exception as e:
+        if not silent_errors:
+            raise ValueError(f"Error loading file {file_path}: {e}") from e
+        return None
+
+    record = Data(data={"file_path": file_path, "text": text})
+    return record
+
+
+# ! Removing unstructured dependency until
+# ! 3.12 is supported
+# def get_elements(
+#     file_paths: List[str],
+#     silent_errors: bool,
+#     max_concurrency: int,
+#     use_multithreading: bool,
+# ) -> List[Optional[Data]]:
+#     if use_multithreading:
+#         data = parallel_load_data(file_paths, silent_errors, max_concurrency)
+#     else:
+#         data = [partition_file_to_data(file_path, silent_errors) for file_path in file_paths]
+#     data = list(filter(None, data))
+#     return data
+
+
+def parallel_load_data(
+    file_paths: List[str],
+    silent_errors: bool,
+    max_concurrency: int,
+    load_function: Callable = parse_text_file_to_data,
+) -> List[Optional[Data]]:
+    with futures.ThreadPoolExecutor(max_workers=max_concurrency) as executor:
+        loaded_files = executor.map(
+            lambda file_path: load_function(file_path, silent_errors),
+            file_paths,
+        )
+    # loaded_files is an iterator, so we need to convert it to a list
+    return list(loaded_files)
diff --git a/src/backend/langflow/components/llms/__init__.py b/src/backend/base/langflow/base/embeddings/__init__.py
similarity index 100%
rename from src/backend/langflow/components/llms/__init__.py
rename to src/backend/base/langflow/base/embeddings/__init__.py
diff --git a/src/backend/base/langflow/base/embeddings/model.py b/src/backend/base/langflow/base/embeddings/model.py
new file mode 100644
index 00000000000..f9059c608e0
--- /dev/null
+++ b/src/backend/base/langflow/base/embeddings/model.py
@@ -0,0 +1,23 @@
+from langflow.custom import Component
+from langflow.field_typing import Embeddings
+from langflow.io import Output
+
+
+class LCEmbeddingsModel(Component):
+    trace_type = "embedding"
+
+    outputs = [
+        Output(display_name="Embeddings", name="embeddings", method="build_embeddings"),
+    ]
+
+    def _validate_outputs(self):
+        required_output_methods = ["build_embeddings"]
+        output_names = [output.name for output in self.outputs]
+        for method_name in required_output_methods:
+            if method_name not in output_names:
+                raise ValueError(f"Output with name '{method_name}' must be defined.")
+            elif not hasattr(self, method_name):
+                raise ValueError(f"Method '{method_name}' must be defined.")
+
+    def build_embeddings(self) -> Embeddings:
+        raise NotImplementedError("You must implement the build_embeddings method in your class.")
diff --git a/src/backend/langflow/components/retrievers/__init__.py b/src/backend/base/langflow/base/flow_processing/__init__.py
similarity index 100%
rename from src/backend/langflow/components/retrievers/__init__.py
rename to src/backend/base/langflow/base/flow_processing/__init__.py
diff --git a/src/backend/base/langflow/base/flow_processing/utils.py b/src/backend/base/langflow/base/flow_processing/utils.py
new file mode 100644
index 00000000000..467a7a953f2
--- /dev/null
+++ b/src/backend/base/langflow/base/flow_processing/utils.py
@@ -0,0 +1,92 @@
+from typing import List
+
+from loguru import logger
+
+from langflow.graph.schema import ResultData, RunOutputs
+from langflow.schema import Data
+
+
+def build_data_from_run_outputs(run_outputs: RunOutputs) -> List[Data]:
+    """
+    Build a list of data from the given RunOutputs.
+
+    Args:
+        run_outputs (RunOutputs): The RunOutputs object containing the output data.
+
+    Returns:
+        List[Data]: A list of data built from the RunOutputs.
+
+    """
+    if not run_outputs:
+        return []
+    data = []
+    for result_data in run_outputs.outputs:
+        if result_data:
+            data.extend(build_data_from_result_data(result_data))
+    return data
+
+
+def build_data_from_result_data(result_data: ResultData, get_final_results_only: bool = True) -> List[Data]:
+    """
+    Build a list of data from the given ResultData.
+
+    Args:
+        result_data (ResultData): The ResultData object containing the result data.
+        get_final_results_only (bool, optional): Whether to include only final results. Defaults to True.
+
+    Returns:
+        List[Data]: A list of data built from the ResultData.
+
+    """
+    messages = result_data.messages
+
+    if not messages:
+        return []
+    data = []
+
+    # Handle results without chat messages (calling flow)
+    if not messages:
+        # Result with a single record
+        if isinstance(result_data.artifacts, dict):
+            data.append(Data(data=result_data.artifacts))
+        # List of artifacts
+        elif isinstance(result_data.artifacts, list):
+            for artifact in result_data.artifacts:
+                # If multiple records are found as artifacts, return as-is
+                if isinstance(artifact, Data):
+                    data.append(artifact)
+                else:
+                    # Warn about unknown output type
+                    logger.warning(f"Unable to build record output from unknown ResultData.artifact: {str(artifact)}")
+        # Chat or text output
+        elif result_data.results:
+            data.append(Data(data={"result": result_data.results}, text_key="result"))
+            return data
+        else:
+            return []
+
+    for message in messages:  # type: ignore
+        message_dict = message if isinstance(message, dict) else message.model_dump()
+        if get_final_results_only:
+            result_data_dict = result_data.model_dump()
+            results = result_data_dict.get("results", {})
+            inner_result = results.get("result", {})
+        record = Data(data={"result": inner_result, "message": message_dict}, text_key="result")
+        data.append(record)
+    return data
+
+
+def format_flow_output_data(data: List[Data]) -> str:
+    """
+    Format the flow output data into a string.
+
+    Args:
+        data (List[Data]): The list of data to format.
+
+    Returns:
+        str: The formatted flow output data.
+
+    """
+    result = "Flow run output:\n"
+    results = "\n".join([value.result for value in data if value.data["message"]])
+    return result + results
diff --git a/src/backend/langflow/components/textsplitters/__init__.py b/src/backend/base/langflow/base/io/__init__.py
similarity index 100%
rename from src/backend/langflow/components/textsplitters/__init__.py
rename to src/backend/base/langflow/base/io/__init__.py
diff --git a/src/backend/base/langflow/base/io/chat.py b/src/backend/base/langflow/base/io/chat.py
new file mode 100644
index 00000000000..0ee15bde356
--- /dev/null
+++ b/src/backend/base/langflow/base/io/chat.py
@@ -0,0 +1,90 @@
+from typing import Optional, Union
+
+from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES
+from langflow.custom import Component
+from langflow.memory import store_message
+from langflow.schema import Data
+from langflow.schema.message import Message
+
+
+class ChatComponent(Component):
+    display_name = "Chat Component"
+    description = "Use as base for chat components."
+
+    def build_config(self):
+        return {
+            "input_value": {
+                "input_types": ["Text"],
+                "display_name": "Text",
+                "multiline": True,
+            },
+            "sender": {
+                "options": ["Machine", "User"],
+                "display_name": "Sender Type",
+                "advanced": True,
+            },
+            "sender_name": {"display_name": "Sender Name", "advanced": True},
+            "session_id": {
+                "display_name": "Session ID",
+                "info": "If provided, the message will be stored in the memory.",
+                "advanced": True,
+            },
+            "return_message": {
+                "display_name": "Return Message",
+                "info": "Return the message as a Message containing the sender, sender_name, and session_id.",
+                "advanced": True,
+            },
+            "data_template": {
+                "display_name": "Data Template",
+                "multiline": True,
+                "info": "In case of Message being a Data, this template will be used to convert it to text.",
+                "advanced": True,
+            },
+            "files": {
+                "field_type": "file",
+                "display_name": "Files",
+                "file_types": TEXT_FILE_TYPES + IMG_FILE_TYPES,
+                "info": "Files to be sent with the message.",
+                "advanced": True,
+            },
+        }
+
+    def store_message(
+        self,
+        message: Message,
+    ) -> list[Message]:
+        messages = store_message(
+            message,
+            flow_id=self.graph.flow_id,
+        )
+
+        self.status = messages
+        return messages
+
+    def build_with_data(
+        self,
+        sender: Optional[str] = "User",
+        sender_name: Optional[str] = "User",
+        input_value: Optional[Union[str, Data, Message]] = None,
+        files: Optional[list[str]] = None,
+        session_id: Optional[str] = None,
+        return_message: Optional[bool] = False,
+    ) -> Message:
+        message: Message | None = None
+
+        if isinstance(input_value, Data):
+            # Update the data of the record
+            message = Message.from_data(input_value)
+        else:
+            message = Message(
+                text=input_value, sender=sender, sender_name=sender_name, files=files, session_id=session_id
+            )
+        if not return_message:
+            message_text = message.text
+        else:
+            message_text = message  # type: ignore
+
+        self.status = message_text
+        if session_id and isinstance(message, Message) and isinstance(message.text, str):
+            self.store_message(message)
+        return message_text  # type: ignore
diff --git a/src/backend/base/langflow/base/io/text.py b/src/backend/base/langflow/base/io/text.py
new file mode 100644
index 00000000000..d7af7b0c941
--- /dev/null
+++ b/src/backend/base/langflow/base/io/text.py
@@ -0,0 +1,21 @@
+from langflow.custom import Component
+
+
+class TextComponent(Component):
+    display_name = "Text Component"
+    description = "Used to pass text to the next component."
+
+    def build_config(self):
+        return {
+            "input_value": {
+                "display_name": "Value",
+                "input_types": ["Text", "Data"],
+                "info": "Text or Data to be passed.",
+            },
+            "data_template": {
+                "display_name": "Data Template",
+                "multiline": True,
+                "info": "Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.",
+                "advanced": True,
+            },
+        }
diff --git a/src/backend/langflow/components/toolkits/__init__.py b/src/backend/base/langflow/base/memory/__init__.py
similarity index 100%
rename from src/backend/langflow/components/toolkits/__init__.py
rename to src/backend/base/langflow/base/memory/__init__.py
diff --git a/src/backend/base/langflow/base/memory/memory.py b/src/backend/base/langflow/base/memory/memory.py
new file mode 100644
index 00000000000..ba3735dc5b0
--- /dev/null
+++ b/src/backend/base/langflow/base/memory/memory.py
@@ -0,0 +1,49 @@
+from typing import Optional
+
+from langflow.custom import CustomComponent
+from langflow.schema import Data
+
+
+class BaseMemoryComponent(CustomComponent):
+    display_name = "Chat Memory"
+    description = "Retrieves stored chat messages given a specific Session ID."
+    beta: bool = True
+    icon = "history"
+
+    def build_config(self):
+        return {
+            "sender": {
+                "options": ["Machine", "User", "Machine and User"],
+                "display_name": "Sender Type",
+            },
+            "sender_name": {"display_name": "Sender Name", "advanced": True},
+            "n_messages": {
+                "display_name": "Number of Messages",
+                "info": "Number of messages to retrieve.",
+            },
+            "session_id": {
+                "display_name": "Session ID",
+                "info": "Session ID of the chat history.",
+                "input_types": ["Text"],
+            },
+            "order": {
+                "options": ["Ascending", "Descending"],
+                "display_name": "Order",
+                "info": "Order of the messages.",
+                "advanced": True,
+            },
+            "data_template": {
+                "display_name": "Data Template",
+                "multiline": True,
+                "info": "Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.",
+                "advanced": True,
+            },
+        }
+
+    def get_messages(self, **kwargs) -> list[Data]:
+        raise NotImplementedError
+
+    def add_message(
+        self, sender: str, sender_name: str, text: str, session_id: str, metadata: Optional[dict] = None, **kwargs
+    ):
+        raise NotImplementedError
diff --git a/src/backend/base/langflow/base/models/__init__.py b/src/backend/base/langflow/base/models/__init__.py
new file mode 100644
index 00000000000..921f10336a9
--- /dev/null
+++ b/src/backend/base/langflow/base/models/__init__.py
@@ -0,0 +1,3 @@
+from .model import LCModelComponent
+
+__all__ = ["LCModelComponent"]
diff --git a/src/backend/base/langflow/base/models/groq_constants.py b/src/backend/base/langflow/base/models/groq_constants.py
new file mode 100644
index 00000000000..c0e9bcfc930
--- /dev/null
+++ b/src/backend/base/langflow/base/models/groq_constants.py
@@ -0,0 +1 @@
+MODEL_NAMES = ["llama3-8b-8192", "llama3-70b-8192", "mixtral-8x7b-32768", "gemma-7b-it"]
diff --git a/src/backend/base/langflow/base/models/model.py b/src/backend/base/langflow/base/models/model.py
new file mode 100644
index 00000000000..81f124fd76d
--- /dev/null
+++ b/src/backend/base/langflow/base/models/model.py
@@ -0,0 +1,162 @@
+import json
+import warnings
+from typing import Optional, Union
+
+from langchain_core.language_models.llms import LLM
+from langchain_core.messages import AIMessage, BaseMessage, HumanMessage, SystemMessage
+
+from langflow.custom import Component
+from langflow.field_typing import LanguageModel
+from langflow.schema.message import Message
+from langflow.template.field.base import Output
+
+
+class LCModelComponent(Component):
+    display_name: str = "Model Name"
+    description: str = "Model Description"
+    trace_type = "llm"
+
+    outputs = [
+        Output(display_name="Text", name="text_output", method="text_response"),
+        Output(display_name="Language Model", name="model_output", method="build_model"),
+    ]
+
+    def _get_exception_message(self, e: Exception):
+        return str(e)
+
+    def _validate_outputs(self):
+        # At least these two outputs must be defined
+        required_output_methods = ["text_response", "build_model"]
+        output_names = [output.name for output in self.outputs]
+        for method_name in required_output_methods:
+            if method_name not in output_names:
+                raise ValueError(f"Output with name '{method_name}' must be defined.")
+            elif not hasattr(self, method_name):
+                raise ValueError(f"Method '{method_name}' must be defined.")
+
+    def text_response(self) -> Message:
+        input_value = self.input_value
+        stream = self.stream
+        system_message = self.system_message
+        output = self.build_model()
+        result = self.get_chat_result(output, stream, input_value, system_message)
+        self.status = result
+        return result
+
+    def get_result(self, runnable: LLM, stream: bool, input_value: str):
+        """
+        Retrieves the result from the output of a Runnable object.
+
+        Args:
+            output (Runnable): The output object to retrieve the result from.
+            stream (bool): Indicates whether to use streaming or invocation mode.
+            input_value (str): The input value to pass to the output object.
+
+        Returns:
+            The result obtained from the output object.
+        """
+        try:
+            if stream:
+                result = runnable.stream(input_value)
+            else:
+                message = runnable.invoke(input_value)
+                result = message.content if hasattr(message, "content") else message
+                self.status = result
+            return result
+        except Exception as e:
+            if message := self._get_exception_message(e):
+                raise ValueError(message) from e
+            raise e
+
+    def build_status_message(self, message: AIMessage):
+        """
+        Builds a status message from an AIMessage object.
+
+        Args:
+            message (AIMessage): The AIMessage object to build the status message from.
+
+        Returns:
+            The status message.
+        """
+        if message.response_metadata:
+            # Build a well formatted status message
+            content = message.content
+            response_metadata = message.response_metadata
+            openai_keys = ["token_usage", "model_name", "finish_reason"]
+            inner_openai_keys = ["completion_tokens", "prompt_tokens", "total_tokens"]
+            anthropic_keys = ["model", "usage", "stop_reason"]
+            inner_anthropic_keys = ["input_tokens", "output_tokens"]
+            if all(key in response_metadata for key in openai_keys) and all(
+                key in response_metadata["token_usage"] for key in inner_openai_keys
+            ):
+                token_usage = response_metadata["token_usage"]
+                status_message = {
+                    "tokens": {
+                        "input": token_usage["prompt_tokens"],
+                        "output": token_usage["completion_tokens"],
+                        "total": token_usage["total_tokens"],
+                        "stop_reason": response_metadata["finish_reason"],
+                        "response": content,
+                    }
+                }
+
+            elif all(key in response_metadata for key in anthropic_keys) and all(
+                key in response_metadata["usage"] for key in inner_anthropic_keys
+            ):
+                usage = response_metadata["usage"]
+                status_message = {
+                    "tokens": {
+                        "input": usage["input_tokens"],
+                        "output": usage["output_tokens"],
+                        "stop_reason": response_metadata["stop_reason"],
+                        "response": content,
+                    }
+                }
+            else:
+                status_message = f"Response: {content}"  # type: ignore
+        else:
+            status_message = f"Response: {message.content}"  # type: ignore
+        return status_message
+
+    def get_chat_result(
+        self, runnable: LanguageModel, stream: bool, input_value: str | Message, system_message: Optional[str] = None
+    ):
+        messages: list[Union[BaseMessage]] = []
+        if not input_value and not system_message:
+            raise ValueError("The message you want to send to the model is empty.")
+        if system_message:
+            messages.append(SystemMessage(content=system_message))
+        if input_value:
+            if isinstance(input_value, Message):
+                with warnings.catch_warnings():
+                    warnings.simplefilter("ignore")
+                    if "prompt" in input_value:
+                        prompt = input_value.load_lc_prompt()
+                        runnable = prompt | runnable
+                    else:
+                        messages.append(input_value.to_lc_message())
+            else:
+                messages.append(HumanMessage(content=input_value))
+        inputs: Union[list, dict] = messages or {}
+        try:
+            runnable = runnable.with_config(
+                {"run_name": self.display_name, "project_name": self._tracing_service.project_name}
+            )
+            if stream:
+                return runnable.stream(inputs)
+            else:
+                message = runnable.invoke(inputs)
+                result = message.content if hasattr(message, "content") else message
+                if isinstance(message, AIMessage):
+                    status_message = self.build_status_message(message)
+                    self.status = status_message
+                elif isinstance(result, dict):
+                    result = json.dumps(message, indent=4)
+                    self.status = result
+                else:
+                    self.status = result
+                return result
+        except Exception as e:
+            if message := self._get_exception_message(e):
+                raise ValueError(message) from e
+            raise e
diff --git a/src/backend/base/langflow/base/models/openai_constants.py b/src/backend/base/langflow/base/models/openai_constants.py
new file mode 100644
index 00000000000..e846229cce9
--- /dev/null
+++ b/src/backend/base/langflow/base/models/openai_constants.py
@@ -0,0 +1 @@
+MODEL_NAMES = ["gpt-4o", "gpt-4-turbo", "gpt-4-turbo-preview", "gpt-3.5-turbo", "gpt-3.5-turbo-0125"]
diff --git a/src/backend/langflow/components/tools/__init__.py b/src/backend/base/langflow/base/prompts/__init__.py
similarity index 100%
rename from src/backend/langflow/components/tools/__init__.py
rename to src/backend/base/langflow/base/prompts/__init__.py
diff --git a/src/backend/base/langflow/base/prompts/api_utils.py b/src/backend/base/langflow/base/prompts/api_utils.py
new file mode 100644
index 00000000000..c8ba4de2a73
--- /dev/null
+++ b/src/backend/base/langflow/base/prompts/api_utils.py
@@ -0,0 +1,128 @@
+from collections import defaultdict
+from typing import Any, Dict, List, Optional
+
+from fastapi import HTTPException
+from langchain_core.prompts import PromptTemplate
+from loguru import logger
+
+from langflow.api.v1.base import INVALID_NAMES, check_input_variables
+from langflow.interface.utils import extract_input_variables_from_prompt
+from langflow.template.field.prompt import DefaultPromptField
+
+
+def validate_prompt(prompt_template: str, silent_errors: bool = False) -> list[str]:
+    input_variables = extract_input_variables_from_prompt(prompt_template)
+
+    # Check if there are invalid characters in the input_variables
+    input_variables = check_input_variables(input_variables)
+    if any(var in INVALID_NAMES for var in input_variables):
+        raise ValueError(f"Invalid input variables. None of the variables can be named {', '.join(input_variables)}. ")
+
+    try:
+        PromptTemplate(template=prompt_template, input_variables=input_variables)
+    except Exception as exc:
+        logger.error(f"Invalid prompt: {exc}")
+        if not silent_errors:
+            raise ValueError(f"Invalid prompt: {exc}") from exc
+
+    return input_variables
+
+
+def get_old_custom_fields(custom_fields, name):
+    try:
+        if len(custom_fields) == 1 and name == "":
+            # If there is only one custom field and the name is empty string
+            # then we are dealing with the first prompt request after the node was created
+            name = list(custom_fields.keys())[0]
+
+        old_custom_fields = custom_fields[name]
+        if not old_custom_fields:
+            old_custom_fields = []
+
+        old_custom_fields = old_custom_fields.copy()
+    except KeyError:
+        old_custom_fields = []
+    custom_fields[name] = []
+    return old_custom_fields
+
+
+def add_new_variables_to_template(input_variables, custom_fields, template, name):
+    for variable in input_variables:
+        try:
+            template_field = DefaultPromptField(name=variable, display_name=variable)
+            if variable in template:
+                # Set the new field with the old value
+                template_field.value = template[variable]["value"]
+
+            template[variable] = template_field.to_dict()
+
+            # Check if variable is not already in the list before appending
+            if variable not in custom_fields[name]:
+                custom_fields[name].append(variable)
+
+        except Exception as exc:
+            logger.exception(exc)
+            raise HTTPException(status_code=500, detail=str(exc)) from exc
+
+
+def remove_old_variables_from_template(old_custom_fields, input_variables, custom_fields, template, name):
+    for variable in old_custom_fields:
+        if variable not in input_variables:
+            try:
+                # Remove the variable from custom_fields associated with the given name
+                if variable in custom_fields[name]:
+                    custom_fields[name].remove(variable)
+
+                # Remove the variable from the template
+                template.pop(variable, None)
+
+            except Exception as exc:
+                logger.exception(exc)
+                raise HTTPException(status_code=500, detail=str(exc)) from exc
+
+
+def update_input_variables_field(input_variables, template):
+    if "input_variables" in template:
+        template["input_variables"]["value"] = input_variables
+
+
+def process_prompt_template(
+    template: str, name: str, custom_fields: Optional[Dict[str, List[str]]], frontend_node_template: Dict[str, Any]
+):
+    """Process and validate prompt template, update template and custom fields."""
+    # Validate the prompt template and extract input variables
+    input_variables = validate_prompt(template)
+
+    # Initialize custom_fields if None
+    if custom_fields is None:
+        custom_fields = defaultdict(list)
+
+    # Retrieve old custom fields
+    old_custom_fields = get_old_custom_fields(custom_fields, name)
+
+    # Add new variables to the template
+    add_new_variables_to_template(input_variables, custom_fields, frontend_node_template, name)
+
+    # Remove old variables from the template
+    remove_old_variables_from_template(old_custom_fields, input_variables, custom_fields, frontend_node_template, name)
+
+    # Update the input variables field in the template
+    update_input_variables_field(input_variables, frontend_node_template)
+
+    # Optional: cleanup fields based on specific conditions
+    cleanup_prompt_template_fields(input_variables, frontend_node_template)
+
+    return input_variables
+
+
+def cleanup_prompt_template_fields(input_variables, template):
+    """Removes unused fields if the conditions are met in the template."""
+    prompt_fields = [
+        key for key, field in template.items() if isinstance(field, dict) and field.get("type") == "prompt"
+    ]
+
+    if len(prompt_fields) == 1:
+        for key in list(template.keys()):  # Use list to copy keys
+            field = template.get(key, {})
+            if isinstance(field, dict) and field.get("type") != "code" and key not in input_variables + prompt_fields:
+                del template[key]
diff --git a/src/backend/base/langflow/base/prompts/utils.py b/src/backend/base/langflow/base/prompts/utils.py
new file mode 100644
index 00000000000..948d0995465
--- /dev/null
+++ b/src/backend/base/langflow/base/prompts/utils.py
@@ -0,0 +1,64 @@
+from copy import deepcopy
+
+from langchain_core.documents import Document
+
+from langflow.schema import Data
+
+
+def data_to_string(record: Data) -> str:
+    """
+    Convert a record to a string.
+
+    Args:
+        record (Data): The record to convert.
+
+    Returns:
+        str: The record as a string.
+    """
+    return record.get_text()
+
+
+def dict_values_to_string(d: dict) -> dict:
+    """
+    Converts the values of a dictionary to strings.
+
+    Args:
+        d (dict): The dictionary whose values need to be converted.
+
+    Returns:
+        dict: The dictionary with values converted to strings.
+    """
+    from langflow.schema.message import Message
+
+    # Do something similar to the above
+    d_copy = deepcopy(d)
+    for key, value in d_copy.items():
+        # it could be a list of data or documents or strings
+        if isinstance(value, list):
+            for i, item in enumerate(value):
+                if isinstance(item, Message):
+                    d_copy[key][i] = item.text
+                elif isinstance(item, Data):
+                    d_copy[key][i] = data_to_string(item)
+                elif isinstance(item, Document):
+                    d_copy[key][i] = document_to_string(item)
+        elif isinstance(value, Message):
+            d_copy[key] = value.text
+        elif isinstance(value, Data):
+            d_copy[key] = data_to_string(value)
+        elif isinstance(value, Document):
+            d_copy[key] = document_to_string(value)
+    return d_copy
+
+
+def document_to_string(document: Document) -> str:
+    """
+    Convert a document to a string.
+
+    Args:
+        document (Document): The document to convert.
+
+    Returns:
+        str: The document as a string.
+    """
+    return document.page_content
diff --git a/src/backend/langflow/components/vectorstores/__init__.py b/src/backend/base/langflow/base/tools/__init__.py
similarity index 100%
rename from src/backend/langflow/components/vectorstores/__init__.py
rename to src/backend/base/langflow/base/tools/__init__.py
diff --git a/src/backend/base/langflow/base/tools/base.py b/src/backend/base/langflow/base/tools/base.py
new file mode 100644
index 00000000000..c9422e268ad
--- /dev/null
+++ b/src/backend/base/langflow/base/tools/base.py
@@ -0,0 +1,26 @@
+from langflow.field_typing import Tool
+
+
+def build_status_from_tool(tool: Tool):
+    """
+    Builds a status string representation of a tool.
+
+    Args:
+        tool (Tool): The tool object to build the status for.
+
+    Returns:
+        str: The status string representation of the tool, including its name, description, arguments (if any), and args_schema (if any).
+    """
+    description_repr = repr(tool.description).strip("'")
+    args_str = "\n".join(
+        [
+            f"- {arg_name}: {arg_data['description']}"
+            for arg_name, arg_data in tool.args.items()
+            if "description" in arg_data
+        ]
+    )
+    # Include args_schema information
+    args_schema_str = repr(tool.args_schema) if tool.args_schema else "None"
+    status = f"Name: {tool.name}\nDescription: {description_repr}"
+    status += f"\nArgs Schema: {args_schema_str}"
+    return status + (f"\nArguments:\n{args_str}" if args_str else "")
diff --git a/src/backend/base/langflow/base/tools/flow_tool.py b/src/backend/base/langflow/base/tools/flow_tool.py
new file mode 100644
index 00000000000..4f767e4dace
--- /dev/null
+++ b/src/backend/base/langflow/base/tools/flow_tool.py
@@ -0,0 +1,113 @@
+from typing import Any, List, Optional, Type
+
+from asyncer import syncify
+from langchain.tools import BaseTool
+from langchain_core.runnables import RunnableConfig
+from langchain_core.tools import ToolException
+from pydantic.v1 import BaseModel
+
+from langflow.base.flow_processing.utils import build_data_from_result_data, format_flow_output_data
+from langflow.graph.graph.base import Graph
+from langflow.graph.vertex.base import Vertex
+from langflow.helpers.flow import build_schema_from_inputs, get_arg_names, get_flow_inputs, run_flow
+
+
+class FlowTool(BaseTool):
+    name: str
+    description: str
+    graph: Optional[Graph] = None
+    flow_id: Optional[str] = None
+    user_id: Optional[str] = None
+    inputs: List["Vertex"] = []
+    get_final_results_only: bool = True
+
+    @property
+    def args(self) -> dict:
+        schema = self.get_input_schema()
+        return schema.schema()["properties"]
+
+    def get_input_schema(self, config: Optional[RunnableConfig] = None) -> Type[BaseModel]:
+        """The tool's input schema."""
+        if self.args_schema is not None:
+            return self.args_schema
+        elif self.graph is not None:
+            return build_schema_from_inputs(self.name, get_flow_inputs(self.graph))
+        else:
+            raise ToolException("No input schema available.")
+
+    def _run(
+        self,
+        *args: Any,
+        **kwargs: Any,
+    ) -> str:
+        """Use the tool."""
+        args_names = get_arg_names(self.inputs)
+        if len(args_names) == len(args):
+            kwargs = {arg["arg_name"]: arg_value for arg, arg_value in zip(args_names, args)}
+        elif len(args_names) != len(args) and len(args) != 0:
+            raise ToolException(
+                "Number of arguments does not match the number of inputs. Pass keyword arguments instead."
+            )
+        tweaks = {arg["component_name"]: kwargs[arg["arg_name"]] for arg in args_names}
+
+        run_outputs = syncify(run_flow, raise_sync_error=False)(
+            tweaks={key: {"input_value": value} for key, value in tweaks.items()},
+            flow_id=self.flow_id,
+            user_id=self.user_id,
+        )
+        if not run_outputs:
+            return "No output"
+        run_output = run_outputs[0]
+
+        data = []
+        if run_output is not None:
+            for output in run_output.outputs:
+                if output:
+                    data.extend(build_data_from_result_data(output, get_final_results_only=self.get_final_results_only))
+        return format_flow_output_data(data)
+
+    def validate_inputs(self, args_names: List[dict[str, str]], args: Any, kwargs: Any):
+        """Validate the inputs."""
+
+        if len(args) > 0 and len(args) != len(args_names):
+            raise ToolException(
+                "Number of positional arguments does not match the number of inputs. Pass keyword arguments instead."
+            )
+
+        if len(args) == len(args_names):
+            kwargs = {arg_name["arg_name"]: arg_value for arg_name, arg_value in zip(args_names, args)}
+
+        missing_args = [arg["arg_name"] for arg in args_names if arg["arg_name"] not in kwargs]
+        if missing_args:
+            raise ToolException(f"Missing required arguments: {', '.join(missing_args)}")
+
+        return kwargs
+
+    def build_tweaks_dict(self, args, kwargs):
+        args_names = get_arg_names(self.inputs)
+        kwargs = self.validate_inputs(args_names=args_names, args=args, kwargs=kwargs)
+        tweaks = {arg["component_name"]: kwargs[arg["arg_name"]] for arg in args_names}
+        return tweaks
+
+    async def _arun(
+        self,
+        *args: Any,
+        **kwargs: Any,
+    ) -> str:
+        """Use the tool asynchronously."""
+        tweaks = self.build_tweaks_dict(args, kwargs)
+        run_outputs = await run_flow(
+            tweaks={key: {"input_value": value} for key, value in tweaks.items()},
+            flow_id=self.flow_id,
+            user_id=self.user_id,
+        )
+        if not run_outputs:
+            return "No output"
+        run_output = run_outputs[0]
+
+        data = []
+        if run_output is not None:
+            for output in run_output.outputs:
+                if output:
+                    data.extend(build_data_from_result_data(output, get_final_results_only=self.get_final_results_only))
+        return format_flow_output_data(data)
diff --git a/src/backend/langflow/core/__init__.py b/src/backend/base/langflow/base/vectorstores/__init__.py
similarity index 100%
rename from src/backend/langflow/core/__init__.py
rename to src/backend/base/langflow/base/vectorstores/__init__.py
diff --git a/src/backend/base/langflow/base/vectorstores/model.py b/src/backend/base/langflow/base/vectorstores/model.py
new file mode 100644
index 00000000000..e05be744e69
--- /dev/null
+++ b/src/backend/base/langflow/base/vectorstores/model.py
@@ -0,0 +1,108 @@
+from typing import List
+
+from langchain_core.documents import Document
+from loguru import logger
+
+from langflow.custom import Component
+from langflow.field_typing import Retriever, Text, VectorStore
+from langflow.helpers.data import docs_to_data
+from langflow.io import Output
+from langflow.schema import Data
+
+
+class LCVectorStoreComponent(Component):
+    trace_type = "retriever"
+    outputs = [
+        Output(
+            display_name="Retriever",
+            name="base_retriever",
+            method="build_base_retriever",
+        ),
+        Output(
+            display_name="Search Results",
+            name="search_results",
+            method="search_documents",
+        ),
+    ]
+
+    def _validate_outputs(self):
+        # At least these three outputs must be defined
+        required_output_methods = ["build_base_retriever", "search_documents"]
+        output_names = [output.name for output in self.outputs]
+        for method_name in required_output_methods:
+            if method_name not in output_names:
+                raise ValueError(f"Output with name '{method_name}' must be defined.")
+            elif not hasattr(self, method_name):
+                raise ValueError(f"Method '{method_name}' must be defined.")
+
+    def search_with_vector_store(
+        self,
+        input_value: Text,
+        search_type: str,
+        vector_store: VectorStore,
+        k=10,
+        **kwargs,
+    ) -> List[Data]:
+        """
+        Search for data in the vector store based on the input value and search type.
+
+        Args:
+            input_value (Text): The input value to search for.
+            search_type (str): The type of search to perform.
+            vector_store (VectorStore): The vector store to search in.
+
+        Returns:
+            List[Data]: A list of data matching the search criteria.
+
+        Raises:
+            ValueError: If invalid inputs are provided.
+        """
+
+        docs: List[Document] = []
+        if input_value and isinstance(input_value, str) and hasattr(vector_store, "search"):
+            docs = vector_store.search(query=input_value, search_type=search_type.lower(), k=k, **kwargs)
+        else:
+            raise ValueError("Invalid inputs provided.")
+        data = docs_to_data(docs)
+        self.status = data
+        return data
+
+    def build_vector_store(self) -> VectorStore:
+        """
+        Builds the Vector Store object.c
+        """
+        raise NotImplementedError("build_vector_store method must be implemented.")
+
+    def build_base_retriever(self) -> Retriever:  # type: ignore[type-var]
+        """
+        Builds the BaseRetriever object.
+        """
+        vector_store = self.build_vector_store()
+        if hasattr(vector_store, "as_retriever"):
+            retriever = vector_store.as_retriever()
+            if self.status is None:
+                self.status = "Retriever built successfully."
+            return retriever
+        else:
+            raise ValueError(f"Vector Store {vector_store.__class__.__name__} does not have an as_retriever method.")
+
+    def search_documents(self) -> List[Data]:
+        """
+        Search for documents in the Chroma vector store.
+        """
+        search_query: str = self.search_query
+        if not search_query:
+            self.status = ""
+            return []
+
+        vector_store = self.build_vector_store()
+
+        logger.debug(f"Search input: {search_query}")
+        logger.debug(f"Search type: {self.search_type}")
+        logger.debug(f"Number of results: {self.number_of_results}")
+
+        search_results = self.search_with_vector_store(
+            search_query, self.search_type, vector_store, k=self.number_of_results
+        )
+        self.status = search_results
+        return search_results
diff --git a/src/backend/base/langflow/base/vectorstores/utils.py b/src/backend/base/langflow/base/vectorstores/utils.py
new file mode 100644
index 00000000000..4c3cd02212b
--- /dev/null
+++ b/src/backend/base/langflow/base/vectorstores/utils.py
@@ -0,0 +1,24 @@
+from langflow.schema import Data
+
+
+def chroma_collection_to_data(collection_dict: dict):
+    """
+    Converts a collection of chroma vectors into a list of data.
+
+    Args:
+        collection_dict (dict): A dictionary containing the collection of chroma vectors.
+
+    Returns:
+        list: A list of data, where each record represents a document in the collection.
+    """
+    data = []
+    for i, doc in enumerate(collection_dict["documents"]):
+        data_dict = {
+            "id": collection_dict["ids"][i],
+            "text": doc,
+        }
+        if "metadatas" in collection_dict:
+            for key, value in collection_dict["metadatas"][i].items():
+                data_dict[key] = value
+        data.append(Data(**data_dict))
+    return data
diff --git a/src/backend/base/langflow/components/__init__.py b/src/backend/base/langflow/components/__init__.py
new file mode 100644
index 00000000000..6efe1e1bdc2
--- /dev/null
+++ b/src/backend/base/langflow/components/__init__.py
@@ -0,0 +1,15 @@
+__all__ = [
+    "agents",
+    "chains",
+    "documentloaders",
+    "embeddings",
+    "experimental",
+    "inputs",
+    "memories",
+    "outputs",
+    "retrievers",
+    "textsplitters",
+    "toolkits",
+    "tools",
+    "vectorstores",
+]
diff --git a/src/backend/base/langflow/components/agents/CSVAgent.py b/src/backend/base/langflow/components/agents/CSVAgent.py
new file mode 100644
index 00000000000..21b285de283
--- /dev/null
+++ b/src/backend/base/langflow/components/agents/CSVAgent.py
@@ -0,0 +1,34 @@
+from langchain_experimental.agents.agent_toolkits.csv.base import create_csv_agent
+
+from langflow.custom import CustomComponent
+from langflow.field_typing import AgentExecutor, LanguageModel
+
+
+class CSVAgentComponent(CustomComponent):
+    display_name = "CSVAgent"
+    description = "Construct a CSV agent from a CSV and tools."
+    documentation = "https://python.langchain.com/docs/modules/agents/toolkits/csv"
+
+    def build_config(self):
+        return {
+            "llm": {"display_name": "LLM", "type": LanguageModel},
+            "path": {"display_name": "Path", "field_type": "file", "suffixes": [".csv"], "file_types": [".csv"]},
+            "handle_parsing_errors": {"display_name": "Handle Parse Errors", "advanced": True},
+            "agent_type": {
+                "display_name": "Agent Type",
+                "options": ["zero-shot-react-description", "openai-functions", "openai-tools"],
+                "advanced": True,
+            },
+        }
+
+    def build(
+        self, llm: LanguageModel, path: str, handle_parsing_errors: bool = True, agent_type: str = "openai-tools"
+    ) -> AgentExecutor:
+        # Instantiate and return the CSV agent class with the provided llm and path
+        return create_csv_agent(
+            llm=llm,
+            path=path,
+            agent_type=agent_type,
+            verbose=True,
+            agent_executor_kwargs=dict(handle_parsing_errors=handle_parsing_errors),
+        )
diff --git a/src/backend/base/langflow/components/agents/JsonAgent.py b/src/backend/base/langflow/components/agents/JsonAgent.py
new file mode 100644
index 00000000000..cadc684f804
--- /dev/null
+++ b/src/backend/base/langflow/components/agents/JsonAgent.py
@@ -0,0 +1,24 @@
+from langchain.agents import AgentExecutor
+from langchain_community.agent_toolkits import create_json_agent
+from langchain_community.agent_toolkits.json.toolkit import JsonToolkit
+
+from langflow.custom import CustomComponent
+from langflow.field_typing import LanguageModel
+
+
+class JsonAgentComponent(CustomComponent):
+    display_name = "JsonAgent"
+    description = "Construct a json agent from an LLM and tools."
+
+    def build_config(self):
+        return {
+            "llm": {"display_name": "LLM"},
+            "toolkit": {"display_name": "Toolkit"},
+        }
+
+    def build(
+        self,
+        llm: LanguageModel,
+        toolkit: JsonToolkit,
+    ) -> AgentExecutor:
+        return create_json_agent(llm=llm, toolkit=toolkit)
diff --git a/src/backend/langflow/components/agents/SQLAgent.py b/src/backend/base/langflow/components/agents/SQLAgent.py
similarity index 80%
rename from src/backend/langflow/components/agents/SQLAgent.py
rename to src/backend/base/langflow/components/agents/SQLAgent.py
index 42b1b48f36c..4f2a8e89ec5 100644
--- a/src/backend/langflow/components/agents/SQLAgent.py
+++ b/src/backend/base/langflow/components/agents/SQLAgent.py
@@ -1,10 +1,12 @@
-from langflow import CustomComponent
-from typing import Union, Callable
+from typing import Callable, Union
+
 from langchain.agents import AgentExecutor
-from langflow.field_typing import BaseLanguageModel
-from langchain_community.agent_toolkits.sql.base import create_sql_agent
-from langchain.sql_database import SQLDatabase
 from langchain_community.agent_toolkits import SQLDatabaseToolkit
+from langchain_community.agent_toolkits.sql.base import create_sql_agent
+from langchain_community.utilities import SQLDatabase
+
+from langflow.custom import CustomComponent
+from langflow.field_typing import LanguageModel
 
 
 class SQLAgentComponent(CustomComponent):
@@ -20,7 +22,7 @@ def build_config(self):
 
     def build(
         self,
-        llm: BaseLanguageModel,
+        llm: LanguageModel,
         database_uri: str,
         verbose: bool = False,
     ) -> Union[AgentExecutor, Callable]:
diff --git a/src/backend/base/langflow/components/agents/ToolCallingAgent.py b/src/backend/base/langflow/components/agents/ToolCallingAgent.py
new file mode 100644
index 00000000000..017003aaaf7
--- /dev/null
+++ b/src/backend/base/langflow/components/agents/ToolCallingAgent.py
@@ -0,0 +1,108 @@
+from typing import Dict, List, cast
+
+from langchain.agents import AgentExecutor, BaseSingleActionAgent
+from langchain.agents.tool_calling_agent.base import create_tool_calling_agent
+from langchain_core.messages import BaseMessage
+from langchain_core.prompts import ChatPromptTemplate
+
+from langflow.custom import Component
+from langflow.io import BoolInput, HandleInput, MessageTextInput, Output
+from langflow.schema import Data
+from langflow.schema.message import Message
+
+
+class ToolCallingAgentComponent(Component):
+    display_name: str = "Tool Calling Agent"
+    description: str = "Agent that uses tools. Only models that are compatible with function calling are supported."
+    icon = "LangChain"
+    beta = True
+
+    inputs = [
+        MessageTextInput(
+            name="system_prompt",
+            display_name="System Prompt",
+            info="System prompt for the agent.",
+            value="You are a helpful assistant",
+        ),
+        MessageTextInput(
+            name="input_value",
+            display_name="Inputs",
+            info="Input text to pass to the agent.",
+        ),
+        MessageTextInput(
+            name="user_prompt",
+            display_name="Prompt",
+            info="This prompt must contain 'input' key.",
+            value="{input}",
+            advanced=True,
+        ),
+        BoolInput(
+            name="handle_parsing_errors",
+            display_name="Handle Parsing Errors",
+            info="If True, the agent will handle parsing errors. If False, the agent will raise an error.",
+            advanced=True,
+            value=True,
+        ),
+        HandleInput(
+            name="memory",
+            display_name="Memory",
+            input_types=["Data"],
+            info="Memory to use for the agent.",
+        ),
+        HandleInput(
+            name="tools",
+            display_name="Tools",
+            input_types=["Tool"],
+            is_list=True,
+        ),
+        HandleInput(
+            name="llm",
+            display_name="LLM",
+            input_types=["LanguageModel"],
+        ),
+    ]
+
+    outputs = [
+        Output(display_name="Text", name="text_output", method="run_agent"),
+    ]
+
+    async def run_agent(self) -> Message:
+        if "input" not in self.user_prompt:
+            raise ValueError("Prompt must contain 'input' key.")
+        messages = [
+            ("system", self.system_prompt),
+            (
+                "placeholder",
+                "{chat_history}",
+            ),
+            ("human", self.user_prompt),
+            ("placeholder", "{agent_scratchpad}"),
+        ]
+        prompt = ChatPromptTemplate.from_messages(messages)
+        agent = create_tool_calling_agent(self.llm, self.tools, prompt)
+
+        runnable = AgentExecutor.from_agent_and_tools(
+            agent=cast(BaseSingleActionAgent, agent),
+            tools=self.tools,
+            verbose=True,
+            handle_parsing_errors=self.handle_parsing_errors,
+        )
+        input_dict: dict[str, str | list[Dict[str, str]]] = {"input": self.input_value}
+        if hasattr(self, "memory") and self.memory:
+            input_dict["chat_history"] = self.convert_chat_history(self.memory)
+        result = await runnable.ainvoke(input_dict)
+        self.status = result
+
+        if "output" not in result:
+            raise ValueError("Output key not found in result. Tried 'output'.")
+
+        result_string = result["output"]
+
+        return Message(text=result_string)
+
+    def convert_chat_history(self, chat_history: List[Data]) -> List[Dict[str, str]]:
+        messages = []
+        for item in chat_history:
+            role = "user" if item.sender == "User" else "assistant"
+            messages.append({"role": role, "content": item.text})
+        return messages
diff --git a/src/backend/langflow/components/agents/VectorStoreAgent.py b/src/backend/base/langflow/components/agents/VectorStoreAgent.py
similarity index 81%
rename from src/backend/langflow/components/agents/VectorStoreAgent.py
rename to src/backend/base/langflow/components/agents/VectorStoreAgent.py
index b70ea4d59a5..2bb324e50d6 100644
--- a/src/backend/langflow/components/agents/VectorStoreAgent.py
+++ b/src/backend/base/langflow/components/agents/VectorStoreAgent.py
@@ -1,8 +1,10 @@
-from langflow import CustomComponent
+from typing import Callable, Union
+
 from langchain.agents import AgentExecutor, create_vectorstore_agent
 from langchain.agents.agent_toolkits.vectorstore.toolkit import VectorStoreToolkit
-from typing import Union, Callable
-from langflow.field_typing import BaseLanguageModel
+
+from langflow.custom import CustomComponent
+from langflow.field_typing import LanguageModel
 
 
 class VectorStoreAgentComponent(CustomComponent):
@@ -17,7 +19,7 @@ def build_config(self):
 
     def build(
         self,
-        llm: BaseLanguageModel,
+        llm: LanguageModel,
         vector_store_toolkit: VectorStoreToolkit,
     ) -> Union[AgentExecutor, Callable]:
         return create_vectorstore_agent(llm=llm, toolkit=vector_store_toolkit)
diff --git a/src/backend/base/langflow/components/agents/VectorStoreRouterAgent.py b/src/backend/base/langflow/components/agents/VectorStoreRouterAgent.py
new file mode 100644
index 00000000000..a696a19c2c7
--- /dev/null
+++ b/src/backend/base/langflow/components/agents/VectorStoreRouterAgent.py
@@ -0,0 +1,21 @@
+from typing import Callable
+
+from langchain.agents import create_vectorstore_router_agent
+from langchain.agents.agent_toolkits.vectorstore.toolkit import VectorStoreRouterToolkit
+from langflow.field_typing import LanguageModel
+
+from langflow.custom import CustomComponent
+
+
+class VectorStoreRouterAgentComponent(CustomComponent):
+    display_name = "VectorStoreRouterAgent"
+    description = "Construct an agent from a Vector Store Router."
+
+    def build_config(self):
+        return {
+            "llm": {"display_name": "LLM"},
+            "vectorstoreroutertoolkit": {"display_name": "Vector Store Router Toolkit"},
+        }
+
+    def build(self, llm: LanguageModel, vectorstoreroutertoolkit: VectorStoreRouterToolkit) -> Callable:
+        return create_vectorstore_router_agent(llm=llm, toolkit=vectorstoreroutertoolkit)
diff --git a/src/backend/base/langflow/components/agents/XMLAgent.py b/src/backend/base/langflow/components/agents/XMLAgent.py
new file mode 100644
index 00000000000..b0a9b18732b
--- /dev/null
+++ b/src/backend/base/langflow/components/agents/XMLAgent.py
@@ -0,0 +1,110 @@
+from typing import List, Optional
+
+from langchain.agents import create_xml_agent
+from langchain_core.prompts import ChatPromptTemplate
+
+from langflow.base.agents.agent import LCAgentComponent
+from langflow.field_typing import LanguageModel, Text, Tool
+from langflow.schema import Data
+
+
+class XMLAgentComponent(LCAgentComponent):
+    display_name = "XMLAgent"
+    description = "Construct an XML agent from an LLM and tools."
+
+    def build_config(self):
+        return {
+            "llm": {"display_name": "LLM"},
+            "tools": {"display_name": "Tools"},
+            "user_prompt": {
+                "display_name": "Prompt",
+                "multiline": True,
+                "info": "This prompt must contain 'tools' and 'agent_scratchpad' keys.",
+                "value": """You are a helpful assistant. Help the user answer any questions.
+
+            You have access to the following tools:
+
+            {tools}
+
+            In order to use a tool, you can use <tool></tool> and <tool_input></tool_input> tags. You will then get back a response in the form <observation></observation>
+            For example, if you have a tool called 'search' that could run a google search, in order to search for the weather in SF you would respond:
+
+            <tool>search</tool><tool_input>weather in SF</tool_input>
+            <observation>64 degrees</observation>
+
+            When you are done, respond with a final answer between <final_answer></final_answer>. For example:
+
+            <final_answer>The weather in SF is 64 degrees</final_answer>
+
+            Begin!
+
+            Previous Conversation:
+            {chat_history}
+
+            Question: {input}
+            {agent_scratchpad}""",
+            },
+            "system_message": {
+                "display_name": "System Message",
+                "info": "System message to be passed to the LLM.",
+                "advanced": True,
+            },
+            "tool_template": {
+                "display_name": "Tool Template",
+                "info": "Template for rendering tools in the prompt. Tools have 'name' and 'description' keys.",
+                "advanced": True,
+            },
+            "handle_parsing_errors": {
+                "display_name": "Handle Parsing Errors",
+                "info": "If True, the agent will handle parsing errors. If False, the agent will raise an error.",
+                "advanced": True,
+            },
+            "message_history": {
+                "display_name": "Message History",
+                "info": "Message history to pass to the agent.",
+            },
+            "input_value": {
+                "display_name": "Inputs",
+                "info": "Input text to pass to the agent.",
+            },
+        }
+
+    async def build(
+        self,
+        input_value: str,
+        llm: LanguageModel,
+        tools: List[Tool],
+        user_prompt: str = "{input}",
+        system_message: str = "You are a helpful assistant",
+        message_history: Optional[List[Data]] = None,
+        tool_template: str = "{name}: {description}",
+        handle_parsing_errors: bool = True,
+    ) -> Text:
+        if "input" not in user_prompt:
+            raise ValueError("Prompt must contain 'input' key.")
+
+        def render_tool_description(tools):
+            return "\n".join(
+                [tool_template.format(name=tool.name, description=tool.description, args=tool.args) for tool in tools]
+            )
+
+        messages = [
+            ("system", system_message),
+            (
+                "placeholder",
+                "{chat_history}",
+            ),
+            ("human", user_prompt),
+            ("placeholder", "{agent_scratchpad}"),
+        ]
+        prompt = ChatPromptTemplate.from_messages(messages)
+        agent = create_xml_agent(llm, tools, prompt, tools_renderer=render_tool_description)
+        result = await self.run_agent(
+            agent=agent,
+            inputs=input_value,
+            tools=tools,
+            message_history=message_history,
+            handle_parsing_errors=handle_parsing_errors,
+        )
+        self.status = result
+        return result
diff --git a/src/backend/base/langflow/components/agents/__init__.py b/src/backend/base/langflow/components/agents/__init__.py
new file mode 100644
index 00000000000..8bd64bab03d
--- /dev/null
+++ b/src/backend/base/langflow/components/agents/__init__.py
@@ -0,0 +1,15 @@
+from .CSVAgent import CSVAgentComponent
+from .JsonAgent import JsonAgentComponent
+from .SQLAgent import SQLAgentComponent
+from .VectorStoreAgent import VectorStoreAgentComponent
+from .VectorStoreRouterAgent import VectorStoreRouterAgentComponent
+from .XMLAgent import XMLAgentComponent
+
+__all__ = [
+    "CSVAgentComponent",
+    "JsonAgentComponent",
+    "SQLAgentComponent",
+    "VectorStoreAgentComponent",
+    "VectorStoreRouterAgentComponent",
+    "XMLAgentComponent",
+]
diff --git a/src/backend/base/langflow/components/chains/ConversationChain.py b/src/backend/base/langflow/components/chains/ConversationChain.py
new file mode 100644
index 00000000000..a400d4993d2
--- /dev/null
+++ b/src/backend/base/langflow/components/chains/ConversationChain.py
@@ -0,0 +1,46 @@
+from typing import Optional
+
+from langchain.chains import ConversationChain
+
+from langflow.custom import CustomComponent
+from langflow.field_typing import BaseMemory, LanguageModel, Text
+
+
+class ConversationChainComponent(CustomComponent):
+    display_name = "ConversationChain"
+    description = "Chain to have a conversation and load context from memory."
+
+    def build_config(self):
+        return {
+            "prompt": {"display_name": "Prompt"},
+            "llm": {"display_name": "LLM"},
+            "memory": {
+                "display_name": "Memory",
+                "info": "Memory to load context from. If none is provided, a ConversationBufferMemory will be used.",
+            },
+            "input_value": {
+                "display_name": "Input Value",
+                "info": "The input value to pass to the chain.",
+            },
+        }
+
+    def build(
+        self,
+        input_value: Text,
+        llm: LanguageModel,
+        memory: Optional[BaseMemory] = None,
+    ) -> Text:
+        if memory is None:
+            chain = ConversationChain(llm=llm)
+        else:
+            chain = ConversationChain(llm=llm, memory=memory)
+        result = chain.invoke({"input": input_value})
+        if isinstance(result, dict):
+            result = result.get(chain.output_key, "")  # type: ignore
+
+        elif isinstance(result, str):
+            result = result
+        else:
+            result = result.get("response")
+        self.status = result
+        return str(result)
diff --git a/src/backend/base/langflow/components/chains/LLMChain.py b/src/backend/base/langflow/components/chains/LLMChain.py
new file mode 100644
index 00000000000..b0f6913bf00
--- /dev/null
+++ b/src/backend/base/langflow/components/chains/LLMChain.py
@@ -0,0 +1,33 @@
+from typing import Optional
+
+from langchain.chains.llm import LLMChain
+from langchain_core.prompts import PromptTemplate
+
+from langflow.custom import CustomComponent
+from langflow.field_typing import BaseMemory, LanguageModel, Text
+
+
+class LLMChainComponent(CustomComponent):
+    display_name = "LLMChain"
+    description = "Chain to run queries against LLMs"
+
+    def build_config(self):
+        return {
+            "prompt": {"display_name": "Prompt"},
+            "llm": {"display_name": "LLM"},
+            "memory": {"display_name": "Memory"},
+        }
+
+    def build(
+        self,
+        template: Text,
+        llm: LanguageModel,
+        memory: Optional[BaseMemory] = None,
+    ) -> Text:
+        prompt = PromptTemplate.from_template(template)
+        runnable = LLMChain(prompt=prompt, llm=llm, memory=memory)
+        result_dict = runnable.invoke({})
+        output_key = runnable.output_key
+        result = result_dict[output_key]
+        self.status = result
+        return result
diff --git a/src/backend/base/langflow/components/chains/LLMCheckerChain.py b/src/backend/base/langflow/components/chains/LLMCheckerChain.py
new file mode 100644
index 00000000000..63bf5613c50
--- /dev/null
+++ b/src/backend/base/langflow/components/chains/LLMCheckerChain.py
@@ -0,0 +1,31 @@
+from langchain.chains import LLMCheckerChain
+
+from langflow.custom import CustomComponent
+from langflow.field_typing import LanguageModel, Text
+
+
+class LLMCheckerChainComponent(CustomComponent):
+    display_name = "LLMCheckerChain"
+    description = ""
+    documentation = "https://python.langchain.com/docs/modules/chains/additional/llm_checker"
+
+    def build_config(self):
+        return {
+            "llm": {"display_name": "LLM"},
+            "input_value": {
+                "display_name": "Input Value",
+                "info": "The input value to pass to the chain.",
+            },
+        }
+
+    def build(
+        self,
+        input_value: Text,
+        llm: LanguageModel,
+    ) -> Text:
+        chain = LLMCheckerChain.from_llm(llm=llm)
+        response = chain.invoke({chain.input_key: input_value})
+        result = response.get(chain.output_key, "")
+        result_str = str(result)
+        self.status = result_str
+        return result_str
diff --git a/src/backend/base/langflow/components/chains/LLMMathChain.py b/src/backend/base/langflow/components/chains/LLMMathChain.py
new file mode 100644
index 00000000000..795b8ee087d
--- /dev/null
+++ b/src/backend/base/langflow/components/chains/LLMMathChain.py
@@ -0,0 +1,47 @@
+from typing import Optional
+
+from langchain.chains import LLMChain, LLMMathChain
+
+from langflow.custom import CustomComponent
+from langflow.field_typing import BaseMemory, LanguageModel, Text
+
+
+class LLMMathChainComponent(CustomComponent):
+    display_name = "LLMMathChain"
+    description = "Chain that interprets a prompt and executes python code to do math."
+    documentation = "https://python.langchain.com/docs/modules/chains/additional/llm_math"
+
+    def build_config(self):
+        return {
+            "llm": {"display_name": "LLM"},
+            "llm_chain": {"display_name": "LLM Chain"},
+            "memory": {"display_name": "Memory"},
+            "input_key": {"display_name": "Input Key"},
+            "output_key": {"display_name": "Output Key"},
+            "input_value": {
+                "display_name": "Input Value",
+                "info": "The input value to pass to the chain.",
+            },
+        }
+
+    def build(
+        self,
+        input_value: Text,
+        llm: LanguageModel,
+        llm_chain: LLMChain,
+        input_key: str = "question",
+        output_key: str = "answer",
+        memory: Optional[BaseMemory] = None,
+    ) -> Text:
+        chain = LLMMathChain(
+            llm=llm,
+            llm_chain=llm_chain,
+            input_key=input_key,
+            output_key=output_key,
+            memory=memory,
+        )
+        response = chain.invoke({input_key: input_value})
+        result = response.get(output_key)
+        result_str = str(result)
+        self.status = result_str
+        return result_str
diff --git a/src/backend/base/langflow/components/chains/RetrievalQA.py b/src/backend/base/langflow/components/chains/RetrievalQA.py
new file mode 100644
index 00000000000..295a03bfbed
--- /dev/null
+++ b/src/backend/base/langflow/components/chains/RetrievalQA.py
@@ -0,0 +1,68 @@
+from typing import Optional
+
+from langchain.chains.retrieval_qa.base import RetrievalQA
+from langchain_core.documents import Document
+
+from langflow.custom import CustomComponent
+from langflow.field_typing import BaseMemory, BaseRetriever, LanguageModel, Text
+from langflow.schema import Data
+
+
+class RetrievalQAComponent(CustomComponent):
+    display_name = "Retrieval QA"
+    description = "Chain for question-answering against an index."
+
+    def build_config(self):
+        return {
+            "llm": {"display_name": "LLM"},
+            "chain_type": {"display_name": "Chain Type", "options": ["Stuff", "Map Reduce", "Refine", "Map Rerank"]},
+            "retriever": {"display_name": "Retriever"},
+            "memory": {"display_name": "Memory", "required": False},
+            "input_key": {"display_name": "Input Key", "advanced": True},
+            "output_key": {"display_name": "Output Key", "advanced": True},
+            "return_source_documents": {"display_name": "Return Source Documents"},
+            "input_value": {
+                "display_name": "Input",
+                "input_types": ["Data", "Document"],
+            },
+        }
+
+    def build(
+        self,
+        llm: LanguageModel,
+        chain_type: str,
+        retriever: BaseRetriever,
+        input_value: str = "",
+        memory: Optional[BaseMemory] = None,
+        input_key: str = "query",
+        output_key: str = "result",
+        return_source_documents: bool = True,
+    ) -> Text:
+        chain_type = chain_type.lower().replace(" ", "_")
+        runnable = RetrievalQA.from_chain_type(
+            llm=llm,
+            chain_type=chain_type,
+            retriever=retriever,
+            memory=memory,
+            input_key=input_key,
+            output_key=output_key,
+            return_source_documents=return_source_documents,
+        )
+        if isinstance(input_value, Document):
+            input_value = input_value.page_content
+        if isinstance(input_value, Data):
+            input_value = input_value.get_text()
+        self.status = runnable
+        result = runnable.invoke({input_key: input_value})
+        result = result.content if hasattr(result, "content") else result
+        # Result is a dict with keys "query",  "result" and "source_documents"
+        # for now we just return the result
+        data = self.to_data(result.get("source_documents"))
+        references_str = ""
+        if return_source_documents:
+            references_str = self.create_references_from_data(data)
+        result_str = result.get("result", "")
+
+        final_result = "\n".join([str(result_str), references_str])
+        self.status = final_result
+        return final_result  # OK
diff --git a/src/backend/base/langflow/components/chains/RetrievalQAWithSourcesChain.py b/src/backend/base/langflow/components/chains/RetrievalQAWithSourcesChain.py
new file mode 100644
index 00000000000..fee16beaecf
--- /dev/null
+++ b/src/backend/base/langflow/components/chains/RetrievalQAWithSourcesChain.py
@@ -0,0 +1,63 @@
+from typing import Optional
+
+from langchain.chains import RetrievalQAWithSourcesChain
+from langchain_core.documents import Document
+
+from langflow.custom import CustomComponent
+from langflow.field_typing import BaseMemory, BaseRetriever, LanguageModel, Text
+
+
+class RetrievalQAWithSourcesChainComponent(CustomComponent):
+    display_name = "RetrievalQAWithSourcesChain"
+    description = "Question-answering with sources over an index."
+
+    def build_config(self):
+        return {
+            "llm": {"display_name": "LLM"},
+            "chain_type": {
+                "display_name": "Chain Type",
+                "options": ["Stuff", "Map Reduce", "Refine", "Map Rerank"],
+                "info": "The type of chain to use to combined Documents.",
+            },
+            "memory": {"display_name": "Memory"},
+            "return_source_documents": {"display_name": "Return Source Documents"},
+            "retriever": {"display_name": "Retriever"},
+            "input_value": {
+                "display_name": "Input Value",
+                "info": "The input value to pass to the chain.",
+            },
+        }
+
+    def build(
+        self,
+        input_value: Text,
+        retriever: BaseRetriever,
+        llm: LanguageModel,
+        chain_type: str,
+        memory: Optional[BaseMemory] = None,
+        return_source_documents: Optional[bool] = True,
+    ) -> Text:
+        chain_type = chain_type.lower().replace(" ", "_")
+        runnable = RetrievalQAWithSourcesChain.from_chain_type(
+            llm=llm,
+            chain_type=chain_type,
+            memory=memory,
+            return_source_documents=return_source_documents,
+            retriever=retriever,
+        )
+        if isinstance(input_value, Document):
+            input_value = input_value.page_content
+        self.status = runnable
+        input_key = runnable.input_keys[0]
+        result = runnable.invoke({input_key: input_value})
+        result = result.content if hasattr(result, "content") else result
+        # Result is a dict with keys "query",  "result" and "source_documents"
+        # for now we just return the result
+        data = self.to_data(result.get("source_documents"))
+        references_str = ""
+        if return_source_documents:
+            references_str = self.create_references_from_data(data)
+        result_str = str(result.get("answer", ""))
+        final_result = "\n".join([result_str, references_str])
+        self.status = final_result
+        return final_result
diff --git a/src/backend/base/langflow/components/chains/SQLGenerator.py b/src/backend/base/langflow/components/chains/SQLGenerator.py
new file mode 100644
index 00000000000..dc085c46e05
--- /dev/null
+++ b/src/backend/base/langflow/components/chains/SQLGenerator.py
@@ -0,0 +1,61 @@
+from typing import Optional
+
+from langchain.chains import create_sql_query_chain
+from langchain_community.utilities.sql_database import SQLDatabase
+from langchain_core.prompts import PromptTemplate
+from langchain_core.runnables import Runnable
+
+from langflow.custom import CustomComponent
+from langflow.field_typing import LanguageModel, Text
+
+
+class SQLGeneratorComponent(CustomComponent):
+    display_name = "Natural Language to SQL"
+    description = "Generate SQL from natural language."
+
+    def build_config(self):
+        return {
+            "db": {"display_name": "Database"},
+            "llm": {"display_name": "LLM"},
+            "prompt": {
+                "display_name": "Prompt",
+                "info": "The prompt must contain `{question}`.",
+            },
+            "top_k": {
+                "display_name": "Top K",
+                "info": "The number of results per select statement to return. If 0, no limit.",
+            },
+            "input_value": {
+                "display_name": "Input Value",
+                "info": "The input value to pass to the chain.",
+            },
+        }
+
+    def build(
+        self,
+        input_value: Text,
+        db: SQLDatabase,
+        llm: LanguageModel,
+        top_k: int = 5,
+        prompt: Optional[Text] = None,
+    ) -> Text:
+        if prompt:
+            prompt_template = PromptTemplate.from_template(template=prompt)
+        else:
+            prompt_template = None
+
+        if top_k < 1:
+            raise ValueError("Top K must be greater than 0.")
+
+        if not prompt_template:
+            sql_query_chain = create_sql_query_chain(llm=llm, db=db, k=top_k)
+        else:
+            # Check if {question} is in the prompt
+            if "{question}" not in prompt_template.template or "question" not in prompt_template.input_variables:
+                raise ValueError("Prompt must contain `{question}` to be used with Natural Language to SQL.")
+            sql_query_chain = create_sql_query_chain(llm=llm, db=db, prompt=prompt_template, k=top_k)
+        query_writer: Runnable = sql_query_chain | {"query": lambda x: x.replace("SQLQuery:", "").strip()}
+        response = query_writer.invoke({"question": input_value})
+        query = response.get("query")
+        self.status = query
+        return query
diff --git a/src/backend/base/langflow/components/chains/__init__.py b/src/backend/base/langflow/components/chains/__init__.py
new file mode 100644
index 00000000000..365a80eb635
--- /dev/null
+++ b/src/backend/base/langflow/components/chains/__init__.py
@@ -0,0 +1,17 @@
+from .ConversationChain import ConversationChainComponent
+from .LLMChain import LLMChainComponent
+from .LLMCheckerChain import LLMCheckerChainComponent
+from .LLMMathChain import LLMMathChainComponent
+from .RetrievalQA import RetrievalQAComponent
+from .RetrievalQAWithSourcesChain import RetrievalQAWithSourcesChainComponent
+from .SQLGenerator import SQLGeneratorComponent
+
+__all__ = [
+    "ConversationChainComponent",
+    "LLMChainComponent",
+    "LLMCheckerChainComponent",
+    "LLMMathChainComponent",
+    "RetrievalQAComponent",
+    "RetrievalQAWithSourcesChainComponent",
+    "SQLGeneratorComponent",
+]
diff --git a/src/backend/base/langflow/components/data/APIRequest.py b/src/backend/base/langflow/components/data/APIRequest.py
new file mode 100644
index 00000000000..e92dc210ed8
--- /dev/null
+++ b/src/backend/base/langflow/components/data/APIRequest.py
@@ -0,0 +1,183 @@
+import asyncio
+import json
+from typing import Any, List, Optional
+from urllib.parse import parse_qsl, urlencode, urlparse, urlunparse
+
+import httpx
+from loguru import logger
+
+from langflow.base.curl.parse import parse_context
+from langflow.custom import Component
+from langflow.io import DataInput, DropdownInput, IntInput, MessageTextInput, NestedDictInput, Output
+from langflow.schema import Data
+from langflow.schema.dotdict import dotdict
+
+
+class APIRequestComponent(Component):
+    display_name = "API Request"
+    description = (
+        "This component allows you to make HTTP requests to one or more URLs. "
+        "You can provide headers and body as either dictionaries or Data objects. "
+        "Additionally, you can append query parameters to the URLs.\n\n"
+        "**Note:** Check advanced options for more settings."
+    )
+    icon = "Globe"
+
+    inputs = [
+        MessageTextInput(
+            name="urls",
+            display_name="URLs",
+            is_list=True,
+            info="Enter one or more URLs, separated by commas.",
+        ),
+        MessageTextInput(
+            name="curl",
+            display_name="Curl",
+            info="Paste a curl command to populate the fields. This will fill in the dictionary fields for headers and body.",
+            advanced=False,
+            refresh_button=True,
+        ),
+        DropdownInput(
+            name="method",
+            display_name="Method",
+            options=["GET", "POST", "PATCH", "PUT"],
+            value="GET",
+            info="The HTTP method to use (GET, POST, PATCH, PUT).",
+        ),
+        NestedDictInput(
+            name="headers",
+            display_name="Headers",
+            info="The headers to send with the request as a dictionary. This is populated when using the CURL field.",
+            input_types=["Data"],
+        ),
+        NestedDictInput(
+            name="body",
+            display_name="Body",
+            info="The body to send with the request as a dictionary (for POST, PATCH, PUT). This is populated when using the CURL field.",
+            input_types=["Data"],
+        ),
+        DataInput(
+            name="query_params",
+            display_name="Query Parameters",
+            info="The query parameters to append to the URL.",
+        ),
+        IntInput(
+            name="timeout",
+            display_name="Timeout",
+            value=5,
+            info="The timeout to use for the request.",
+        ),
+    ]
+
+    outputs = [
+        Output(display_name="Data", name="data", method="make_requests"),
+    ]
+
+    def parse_curl(self, curl: str, build_config: dotdict) -> dotdict:
+        try:
+            parsed = parse_context(curl)
+            build_config["urls"]["value"] = [parsed.url]
+            build_config["method"]["value"] = parsed.method.upper()
+            build_config["headers"]["value"] = dict(parsed.headers)
+
+            if parsed.data:
+                try:
+                    json_data = json.loads(parsed.data)
+                    build_config["body"]["value"] = json_data
+                except json.JSONDecodeError as e:
+                    logger.error(f"Error decoding JSON data: {e}")
+            else:
+                build_config["body"]["value"] = {}
+        except Exception as exc:
+            logger.error(f"Error parsing curl: {exc}")
+            raise ValueError(f"Error parsing curl: {exc}")
+        return build_config
+
+    def update_build_config(self, build_config: dotdict, field_value: Any, field_name: str | None = None):
+        if field_name == "curl" and field_value:
+            build_config = self.parse_curl(field_value, build_config)
+        return build_config
+
+    async def make_request(
+        self,
+        client: httpx.AsyncClient,
+        method: str,
+        url: str,
+        headers: Optional[dict] = None,
+        body: Optional[dict] = None,
+        timeout: int = 5,
+    ) -> Data:
+        method = method.upper()
+        if method not in ["GET", "POST", "PATCH", "PUT", "DELETE"]:
+            raise ValueError(f"Unsupported method: {method}")
+
+        data = body if body else None
+        payload = json.dumps(data) if data else None
+        try:
+            response = await client.request(method, url, headers=headers, content=payload, timeout=timeout)
+            try:
+                result = response.json()
+            except Exception:
+                result = response.text
+            return Data(
+                data={
+                    "source": url,
+                    "headers": headers,
+                    "status_code": response.status_code,
+                    "result": result,
+                },
+            )
+        except httpx.TimeoutException:
+            return Data(
+                data={
+                    "source": url,
+                    "headers": headers,
+                    "status_code": 408,
+                    "error": "Request timed out",
+                },
+            )
+        except Exception as exc:
+            return Data(
+                data={
+                    "source": url,
+                    "headers": headers,
+                    "status_code": 500,
+                    "error": str(exc),
+                },
+            )
+
+    def add_query_params(self, url: str, params: dict) -> str:
+        url_parts = list(urlparse(url))
+        query = dict(parse_qsl(url_parts[4]))
+        query.update(params)
+        url_parts[4] = urlencode(query)
+        return urlunparse(url_parts)
+
+    async def make_requests(self) -> List[Data]:
+        method = self.method
+        urls = [url.strip() for url in self.urls if url.strip()]
+        curl = self.curl
+        headers = self.headers or {}
+        body = self.body or {}
+        timeout = self.timeout
+        query_params = self.query_params.data if self.query_params else {}
+
+        if curl:
+            self._build_config = self.parse_curl(curl, dotdict())
+
+        if isinstance(headers, Data):
+            headers = headers.data
+
+        if isinstance(body, Data):
+            body = body.data
+
+        bodies = [body] * len(urls)
+
+        urls = [self.add_query_params(url, query_params) for url in urls]
+
+        async with httpx.AsyncClient() as client:
+            results = await asyncio.gather(
+                *[self.make_request(client, method, u, headers, rec, timeout) for u, rec in zip(urls, bodies)]
+            )
+        self.status = results
+        return results
diff --git a/src/backend/base/langflow/components/data/Directory.py b/src/backend/base/langflow/components/data/Directory.py
new file mode 100644
index 00000000000..267869ebb34
--- /dev/null
+++ b/src/backend/base/langflow/components/data/Directory.py
@@ -0,0 +1,88 @@
+from typing import List, Optional
+
+from langflow.base.data.utils import parallel_load_data, parse_text_file_to_data, retrieve_file_paths
+from langflow.custom import Component
+from langflow.io import BoolInput, IntInput, MessageTextInput
+from langflow.schema import Data
+from langflow.template import Output
+
+
+class DirectoryComponent(Component):
+    display_name = "Directory"
+    description = "Recursively load files from a directory."
+    icon = "folder"
+
+    inputs = [
+        MessageTextInput(
+            name="path",
+            display_name="Path",
+            info="Path to the directory to load files from.",
+        ),
+        MessageTextInput(
+            name="types",
+            display_name="Types",
+            info="File types to load. Leave empty to load all types.",
+        ),
+        IntInput(
+            name="depth",
+            display_name="Depth",
+            info="Depth to search for files.",
+            value=0,
+        ),
+        IntInput(
+            name="max_concurrency",
+            display_name="Max Concurrency",
+            advanced=True,
+            info="Maximum concurrency for loading files.",
+            value=2,
+        ),
+        BoolInput(
+            name="load_hidden",
+            display_name="Load Hidden",
+            advanced=True,
+            info="If true, hidden files will be loaded.",
+        ),
+        BoolInput(
+            name="recursive",
+            display_name="Recursive",
+            advanced=True,
+            info="If true, the search will be recursive.",
+        ),
+        BoolInput(
+            name="silent_errors",
+            display_name="Silent Errors",
+            advanced=True,
+            info="If true, errors will not raise an exception.",
+        ),
+        BoolInput(
+            name="use_multithreading",
+            display_name="Use Multithreading",
+            advanced=True,
+            info="If true, multithreading will be used.",
+        ),
+    ]
+
+    outputs = [
+        Output(display_name="Data", name="data", method="load_directory"),
+    ]
+
+    def load_directory(self) -> List[Optional[Data]]:
+        path = self.path
+        depth = self.depth
+        max_concurrency = self.max_concurrency
+        load_hidden = self.load_hidden
+        recursive = self.recursive
+        silent_errors = self.silent_errors
+        use_multithreading = self.use_multithreading
+
+        resolved_path = self.resolve_path(path)
+        file_paths = retrieve_file_paths(resolved_path, load_hidden, recursive, depth)
+        loaded_data = []
+
+        if use_multithreading:
+            loaded_data = parallel_load_data(file_paths, silent_errors, max_concurrency)
+        else:
+            loaded_data = [parse_text_file_to_data(file_path, silent_errors) for file_path in file_paths]
+        loaded_data = list(filter(None, loaded_data))
+        self.status = loaded_data
+        return loaded_data
diff --git a/src/backend/base/langflow/components/data/File.py b/src/backend/base/langflow/components/data/File.py
new file mode 100644
index 00000000000..a0a4385e62d
--- /dev/null
+++ b/src/backend/base/langflow/components/data/File.py
@@ -0,0 +1,48 @@
+from pathlib import Path
+
+from langflow.base.data.utils import TEXT_FILE_TYPES, parse_text_file_to_data
+from langflow.custom import Component
+from langflow.io import BoolInput, FileInput, Output
+from langflow.schema import Data
+
+
+class FileComponent(Component):
+    display_name = "File"
+    description = "A generic file loader."
+    icon = "file-text"
+
+    inputs = [
+        FileInput(
+            name="path",
+            display_name="Path",
+            file_types=TEXT_FILE_TYPES,
+            info=f"Supported file types: {', '.join(TEXT_FILE_TYPES)}",
+        ),
+        BoolInput(
+            name="silent_errors",
+            display_name="Silent Errors",
+            advanced=True,
+            info="If true, errors will not raise an exception.",
+        ),
+    ]
+
+    outputs = [
+        Output(display_name="Data", name="data", method="load_file"),
+    ]
+
+    def load_file(self) -> Data:
+        if not self.path:
+            raise ValueError("Please, upload a file to use this component.")
+        resolved_path = self.resolve_path(self.path)
+        silent_errors = self.silent_errors
+
+        extension = Path(resolved_path).suffix[1:].lower()
+
+        if extension == "doc":
+            raise ValueError("doc files are not supported. Please save as .docx")
+        if extension not in TEXT_FILE_TYPES:
+            raise ValueError(f"Unsupported file type: {extension}")
+
+        data = parse_text_file_to_data(resolved_path, silent_errors)
+        self.status = data if data else "No data"
+        return data or Data()
diff --git a/src/backend/base/langflow/components/data/URL.py b/src/backend/base/langflow/components/data/URL.py
new file mode 100644
index 00000000000..c475cc63559
--- /dev/null
+++ b/src/backend/base/langflow/components/data/URL.py
@@ -0,0 +1,67 @@
+import re
+
+from langchain_community.document_loaders.web_base import WebBaseLoader
+
+from langflow.custom import Component
+from langflow.io import MessageTextInput, Output
+from langflow.schema import Data
+
+
+class URLComponent(Component):
+    display_name = "URL"
+    description = "Fetch content from one or more URLs."
+    icon = "layout-template"
+
+    inputs = [
+        MessageTextInput(
+            name="urls",
+            display_name="URLs",
+            info="Enter one or more URLs, separated by commas.",
+            is_list=True,
+        ),
+    ]
+
+    outputs = [
+        Output(display_name="Data", name="data", method="fetch_content"),
+    ]
+
+    def ensure_url(self, string: str) -> str:
+        """
+        Ensures the given string is a URL by adding 'http://' if it doesn't start with 'http://' or 'https://'.
+        Raises an error if the string is not a valid URL.
+
+        Parameters:
+            string (str): The string to be checked and possibly modified.
+
+        Returns:
+            str: The modified string that is ensured to be a URL.
+
+        Raises:
+            ValueError: If the string is not a valid URL.
+        """
+        if not string.startswith(("http://", "https://")):
+            string = "http://" + string
+
+        # Basic URL validation regex
+        url_regex = re.compile(
+            r"^(https?:\/\/)?"  # optional protocol
+            r"(www\.)?"  # optional www
+            r"([a-zA-Z0-9.-]+)"  # domain
+            r"(\.[a-zA-Z]{2,})?"  # top-level domain
+            r"(:\d+)?"  # optional port
+            r"(\/[^\s]*)?$",  # optional path
+            re.IGNORECASE,
+        )
+
+        if not url_regex.match(string):
+            raise ValueError(f"Invalid URL: {string}")
+
+        return string
+
+    def fetch_content(self) -> list[Data]:
+        urls = [self.ensure_url(url.strip()) for url in self.urls if url.strip()]
+        loader = WebBaseLoader(web_paths=urls, encoding="utf-8")
+        docs = loader.load()
+        data = [Data(text=doc.page_content, **doc.metadata) for doc in docs]
+        self.status = data
+        return data
diff --git a/src/backend/base/langflow/components/data/Webhook.py b/src/backend/base/langflow/components/data/Webhook.py
new file mode 100644
index 00000000000..67e188f6e00
--- /dev/null
+++ b/src/backend/base/langflow/components/data/Webhook.py
@@ -0,0 +1,37 @@
+import json
+
+from langflow.custom import Component
+from langflow.io import MultilineInput, Output
+from langflow.schema import Data
+
+
+class WebhookComponent(Component):
+    display_name = "Webhook Input"
+    description = "Defines a webhook input for the flow."
+
+    inputs = [
+        MultilineInput(
+            name="data",
+            display_name="Data",
+            info="Use this field to quickly test the webhook component by providing a JSON payload.",
+        )
+    ]
+    outputs = [
+        Output(display_name="Data", name="output_data", method="build_data"),
+    ]
+
+    def build_data(self) -> Data:
+        message: str | Data = ""
+        if not self.data:
+            self.status = "No data provided."
+            return Data(data={})
+        try:
+            body = json.loads(self.data or "{}")
+        except json.JSONDecodeError:
+            body = {"payload": self.data}
+            message = f"Invalid JSON payload. Please check the format.\n\n{self.data}"
+        data = Data(data=body)
+        if not message:
+            message = data
+        self.status = message
+        return data
diff --git a/src/backend/base/langflow/components/data/__init__.py b/src/backend/base/langflow/components/data/__init__.py
new file mode 100644
index 00000000000..ba037a740f5
--- /dev/null
+++ b/src/backend/base/langflow/components/data/__init__.py
@@ -0,0 +1,7 @@
+from .APIRequest import APIRequestComponent
+from .Directory import DirectoryComponent
+from .File import FileComponent
+from .URL import URLComponent
+from .Webhook import WebhookComponent
+
+__all__ = ["APIRequestComponent", "DirectoryComponent", "FileComponent", "URLComponent", "WebhookComponent"]
diff --git a/src/backend/base/langflow/components/deactivated/AgentComponent.py b/src/backend/base/langflow/components/deactivated/AgentComponent.py
new file mode 100644
index 00000000000..117b9e676ea
--- /dev/null
+++ b/src/backend/base/langflow/components/deactivated/AgentComponent.py
@@ -0,0 +1,185 @@
+from typing import Any, List, Optional, cast
+
+from langchain_core.prompts import ChatPromptTemplate
+from langchain_core.prompts.chat import HumanMessagePromptTemplate, SystemMessagePromptTemplate
+
+from langflow.base.agents.agent import LCAgentComponent
+from langflow.base.agents.utils import AGENTS, AgentSpec, get_agents_list
+from langflow.field_typing import LanguageModel, Text, Tool
+from langflow.schema import Data
+from langflow.schema.dotdict import dotdict
+
+
+class AgentComponent(LCAgentComponent):
+    display_name = "Agent"
+    description = "Run any LangChain agent using a simplified interface."
+    field_order = [
+        "agent_name",
+        "llm",
+        "tools",
+        "prompt",
+        "tool_template",
+        "handle_parsing_errors",
+        "memory",
+        "input_value",
+    ]
+
+    def build_config(self):
+        return {
+            "agent_name": {
+                "display_name": "Agent",
+                "info": "The agent to use.",
+                "refresh_button": True,
+                "real_time_refresh": True,
+                "options": get_agents_list(),
+            },
+            "llm": {"display_name": "LLM"},
+            "tools": {"display_name": "Tools"},
+            "user_prompt": {
+                "display_name": "Prompt",
+                "multiline": True,
+                "info": "This prompt must contain 'tools' and 'agent_scratchpad' keys.",
+            },
+            "system_message": {
+                "display_name": "System Message",
+                "info": "System message to be passed to the LLM.",
+                "advanced": True,
+            },
+            "tool_template": {
+                "display_name": "Tool Template",
+                "info": "Template for rendering tools in the prompt. Tools have 'name' and 'description' keys.",
+                "advanced": True,
+            },
+            "handle_parsing_errors": {
+                "display_name": "Handle Parsing Errors",
+                "info": "If True, the agent will handle parsing errors. If False, the agent will raise an error.",
+                "advanced": True,
+            },
+            "message_history": {
+                "display_name": "Message History",
+                "info": "Message history to pass to the agent.",
+            },
+            "input_value": {
+                "display_name": "Input",
+                "info": "Input text to pass to the agent.",
+            },
+            "langchain_hub_api_key": {
+                "display_name": "LangChain Hub API Key",
+                "info": "API key to use for LangChain Hub. If provided, prompts will be fetched from LangChain Hub.",
+                "advanced": True,
+            },
+        }
+
+    def get_system_and_user_message_from_prompt(self, prompt: Any):
+        """
+        Extracts the system message and user prompt from a given prompt object.
+
+        Args:
+            prompt (Any): The prompt object from which to extract the system message and user prompt.
+
+        Returns:
+            Tuple[Optional[str], Optional[str]]: A tuple containing the system message and user prompt.
+                If the prompt object does not have any messages, both values will be None.
+        """
+        if hasattr(prompt, "messages"):
+            system_message = None
+            user_prompt = None
+            for message in prompt.messages:
+                if isinstance(message, SystemMessagePromptTemplate):
+                    s_prompt = message.prompt
+                    if isinstance(s_prompt, list):
+                        s_template = " ".join([cast(str, s.template) for s in s_prompt if hasattr(s, "template")])
+                    elif hasattr(s_prompt, "template"):
+                        s_template = s_prompt.template
+                    system_message = s_template
+                elif isinstance(message, HumanMessagePromptTemplate):
+                    h_prompt = message.prompt
+                    if isinstance(h_prompt, list):
+                        h_template = " ".join([cast(str, h.template) for h in h_prompt if hasattr(h, "template")])
+                    elif hasattr(h_prompt, "template"):
+                        h_template = h_prompt.template
+                    user_prompt = h_template
+            return system_message, user_prompt
+        return None, None
+
+    def update_build_config(self, build_config: dotdict, field_value: Any, field_name: str | None = None):
+        """
+        Updates the build configuration based on the provided field value and field name.
+
+        Args:
+            build_config (dotdict): The build configuration to be updated.
+            field_value (Any): The value of the field being updated.
+            field_name (Text | None, optional): The name of the field being updated. Defaults to None.
+
+        Returns:
+            dotdict: The updated build configuration.
+        """
+        if field_name == "agent":
+            build_config["agent"]["options"] = get_agents_list()
+            if field_value in AGENTS:
+                # if langchain_hub_api_key is provided, fetch the prompt from LangChain Hub
+                if build_config["langchain_hub_api_key"]["value"] and AGENTS[field_value].hub_repo:
+                    from langchain import hub
+
+                    hub_repo: str | None = AGENTS[field_value].hub_repo
+                    if hub_repo:
+                        hub_api_key: str = build_config["langchain_hub_api_key"]["value"]
+                        prompt = hub.pull(hub_repo, api_key=hub_api_key)
+                        system_message, user_prompt = self.get_system_and_user_message_from_prompt(prompt)
+                        if system_message:
+                            build_config["system_message"]["value"] = system_message
+                        if user_prompt:
+                            build_config["user_prompt"]["value"] = user_prompt
+
+                if AGENTS[field_value].prompt:
+                    build_config["user_prompt"]["value"] = AGENTS[field_value].prompt
+                else:
+                    build_config["user_prompt"]["value"] = "{input}"
+            fields = AGENTS[field_value].fields
+            for field in ["llm", "tools", "prompt", "tools_renderer"]:
+                if field not in fields:
+                    build_config[field]["show"] = False
+        return build_config
+
+    async def build(
+        self,
+        agent_name: str,
+        input_value: str,
+        llm: LanguageModel,
+        tools: List[Tool],
+        system_message: str = "You are a helpful assistant. Help the user answer any questions.",
+        user_prompt: str = "{input}",
+        message_history: Optional[List[Data]] = None,
+        tool_template: str = "{name}: {description}",
+        handle_parsing_errors: bool = True,
+    ) -> Text:
+        agent_spec: Optional[AgentSpec] = AGENTS.get(agent_name)
+        if agent_spec is None:
+            raise ValueError(f"{agent_name} not found.")
+
+        def render_tool_description(tools):
+            return "\n".join(
+                [tool_template.format(name=tool.name, description=tool.description, args=tool.args) for tool in tools]
+            )
+
+        messages = [
+            ("system", system_message),
+            (
+                "placeholder",
+                "{chat_history}",
+            ),
+            ("human", user_prompt),
+            ("placeholder", "{agent_scratchpad}"),
+        ]
+        prompt = ChatPromptTemplate.from_messages(messages)
+        agent_func = agent_spec.func
+        agent = agent_func(llm, tools, prompt, render_tool_description, True)
+        result = await self.run_agent(
+            agent=agent,
+            inputs=input_value,
+            tools=tools,
+            message_history=message_history,
+            handle_parsing_errors=handle_parsing_errors,
+        )
+        self.status = result
+        return result
diff --git a/src/backend/base/langflow/components/deactivated/ChatLiteLLMModel.py b/src/backend/base/langflow/components/deactivated/ChatLiteLLMModel.py
new file mode 100644
index 00000000000..cd487c4a081
--- /dev/null
+++ b/src/backend/base/langflow/components/deactivated/ChatLiteLLMModel.py
@@ -0,0 +1,180 @@
+from typing import Optional
+
+from langchain_community.chat_models.litellm import ChatLiteLLM, ChatLiteLLMException
+
+from langflow.base.constants import STREAM_INFO_TEXT
+from langflow.base.models.model import LCModelComponent
+from langflow.field_typing import LanguageModel
+from langflow.io import (
+    BoolInput,
+    DictInput,
+    DropdownInput,
+    FloatInput,
+    IntInput,
+    MessageInput,
+    Output,
+    SecretStrInput,
+    StrInput,
+)
+
+
+class ChatLiteLLMModelComponent(LCModelComponent):
+    display_name = "LiteLLM"
+    description = "`LiteLLM` collection of large language models."
+    documentation = "https://python.langchain.com/docs/integrations/chat/litellm"
+    icon = "🚄"
+
+    inputs = [
+        MessageInput(name="input_value", display_name="Input"),
+        StrInput(
+            name="model",
+            display_name="Model name",
+            advanced=False,
+            required=True,
+            info="The name of the model to use. For example, `gpt-3.5-turbo`.",
+        ),
+        SecretStrInput(
+            name="api_key",
+            display_name="API key",
+            advanced=False,
+            required=False,
+        ),
+        DropdownInput(
+            name="provider",
+            display_name="Provider",
+            info="The provider of the API key.",
+            options=[
+                "OpenAI",
+                "Azure",
+                "Anthropic",
+                "Replicate",
+                "Cohere",
+                "OpenRouter",
+            ],
+        ),
+        FloatInput(
+            name="temperature",
+            display_name="Temperature",
+            advanced=False,
+            required=False,
+            value=0.7,
+        ),
+        DictInput(
+            name="model_kwargs",
+            display_name="Model kwargs",
+            advanced=True,
+            required=False,
+            value={},
+        ),
+        FloatInput(
+            name="top_p",
+            display_name="Top p",
+            advanced=True,
+            required=False,
+        ),
+        IntInput(
+            name="top_k",
+            display_name="Top k",
+            advanced=True,
+            required=False,
+        ),
+        IntInput(
+            name="n",
+            display_name="N",
+            advanced=True,
+            required=False,
+            info="Number of chat completions to generate for each prompt. "
+            "Note that the API may not return the full n completions if duplicates are generated.",
+            value=1,
+        ),
+        IntInput(
+            name="max_tokens",
+            display_name="Max tokens",
+            advanced=False,
+            value=256,
+            info="The maximum number of tokens to generate for each chat completion.",
+        ),
+        IntInput(
+            name="max_retries",
+            display_name="Max retries",
+            advanced=True,
+            required=False,
+            value=6,
+        ),
+        BoolInput(
+            name="verbose",
+            display_name="Verbose",
+            advanced=True,
+            required=False,
+            value=False,
+        ),
+        BoolInput(
+            name="stream",
+            display_name="Stream",
+            info=STREAM_INFO_TEXT,
+            advanced=True,
+        ),
+        StrInput(
+            name="system_message",
+            display_name="System Message",
+            info="System message to pass to the model.",
+            advanced=True,
+        ),
+    ]
+
+    outputs = [
+        Output(display_name="Text", name="text_output", method="text_response"),
+        Output(display_name="Language Model", name="model_output", method="build_model"),
+    ]
+
+    def build_model(self) -> LanguageModel:
+        try:
+            import litellm  # type: ignore
+
+            litellm.drop_params = True
+            litellm.set_verbose = self.verbose
+        except ImportError:
+            raise ChatLiteLLMException(
+                "Could not import litellm python package. " "Please install it with `pip install litellm`"
+            )
+
+        provider_map = {
+            "OpenAI": "openai_api_key",
+            "Azure": "azure_api_key",
+            "Anthropic": "anthropic_api_key",
+            "Replicate": "replicate_api_key",
+            "Cohere": "cohere_api_key",
+            "OpenRouter": "openrouter_api_key",
+        }
+
+        # Set the API key based on the provider
+        api_keys: dict[str, Optional[str]] = {v: None for v in provider_map.values()}
+
+        if variable_name := provider_map.get(self.provider):
+            api_keys[variable_name] = self.api_key
+        else:
+            raise ChatLiteLLMException(
+                f"Provider {self.provider} is not supported. Supported providers are: {', '.join(provider_map.keys())}"
+            )
+
+        output = ChatLiteLLM(
+            model=self.model,
+            client=None,
+            streaming=self.stream,
+            temperature=self.temperature,
+            model_kwargs=self.model_kwargs if self.model_kwargs is not None else {},
+            top_p=self.top_p,
+            top_k=self.top_k,
+            n=self.n,
+            max_tokens=self.max_tokens,
+            max_retries=self.max_retries,
+            openai_api_key=api_keys["openai_api_key"],
+            azure_api_key=api_keys["azure_api_key"],
+            anthropic_api_key=api_keys["anthropic_api_key"],
+            replicate_api_key=api_keys["replicate_api_key"],
+            cohere_api_key=api_keys["cohere_api_key"],
+            openrouter_api_key=api_keys["openrouter_api_key"],
+        )
+
+        return output
+        return output
diff --git a/src/backend/base/langflow/components/deactivated/CodeBlockExtractor.py b/src/backend/base/langflow/components/deactivated/CodeBlockExtractor.py
new file mode 100644
index 00000000000..316ed8a95fc
--- /dev/null
+++ b/src/backend/base/langflow/components/deactivated/CodeBlockExtractor.py
@@ -0,0 +1,25 @@
+import re
+
+from langflow.custom import Component
+from langflow.field_typing import Input, Output, Text
+
+
+class CodeBlockExtractor(Component):
+    display_name = "Code Block Extractor"
+    description = "Extracts code block from text."
+
+    inputs = [Input(name="text", field_type=Text, description="Text to extract code blocks from.")]
+
+    outputs = [Output(name="code_block", display_name="Code Block", method="get_code_block")]
+
+    def get_code_block(self) -> Text:
+        text = self.text.strip()
+        # Extract code block
+        # It may start with ``` or ```language
+        # It may end with ```
+        pattern = r"^```(?:\w+)?\s*\n(.*?)(?=^```)```"
+        match = re.search(pattern, text, re.MULTILINE)
+        code_block = ""
+        if match:
+            code_block = match.group(1)
+        return code_block
diff --git a/src/backend/base/langflow/components/deactivated/DocumentsToData.py b/src/backend/base/langflow/components/deactivated/DocumentsToData.py
new file mode 100644
index 00000000000..13111db591f
--- /dev/null
+++ b/src/backend/base/langflow/components/deactivated/DocumentsToData.py
@@ -0,0 +1,23 @@
+from typing import List
+
+from langchain_core.documents import Document
+
+from langflow.custom import CustomComponent
+from langflow.schema import Data
+
+
+class DocumentsToDataComponent(CustomComponent):
+    display_name = "Documents ⇢ Data"
+    description = "Convert LangChain Documents into Data."
+    icon = "LangChain"
+
+    field_config = {
+        "documents": {"display_name": "Documents"},
+    }
+
+    def build(self, documents: List[Document]) -> List[Data]:
+        if isinstance(documents, Document):
+            documents = [documents]
+        data = [Data.from_document(document) for document in documents]
+        self.status = data
+        return data
diff --git a/src/backend/base/langflow/components/deactivated/Embed.py b/src/backend/base/langflow/components/deactivated/Embed.py
new file mode 100644
index 00000000000..a67c6c4cfa7
--- /dev/null
+++ b/src/backend/base/langflow/components/deactivated/Embed.py
@@ -0,0 +1,15 @@
+from langflow.custom import CustomComponent
+from langflow.field_typing import Embeddings
+from langflow.schema import Data
+
+
+class EmbedComponent(CustomComponent):
+    display_name = "Embed Texts"
+
+    def build_config(self):
+        return {"texts": {"display_name": "Texts"}, "embbedings": {"display_name": "Embeddings"}}
+
+    def build(self, texts: list[str], embbedings: Embeddings) -> Data:
+        vectors = Data(vector=embbedings.embed_documents(texts))
+        self.status = vectors
+        return vectors
diff --git a/src/backend/base/langflow/components/deactivated/ExtractKeyFromData.py b/src/backend/base/langflow/components/deactivated/ExtractKeyFromData.py
new file mode 100644
index 00000000000..a8ca7826262
--- /dev/null
+++ b/src/backend/base/langflow/components/deactivated/ExtractKeyFromData.py
@@ -0,0 +1,45 @@
+from langflow.custom import CustomComponent
+from langflow.schema import Data
+
+
+class ExtractKeyFromDataComponent(CustomComponent):
+    display_name = "Extract Key From Data"
+    description = "Extracts a key from a data."
+    beta: bool = True
+
+    field_config = {
+        "data": {"display_name": "Data"},
+        "keys": {
+            "display_name": "Keys",
+            "info": "The keys to extract from the data.",
+            "input_types": [],
+        },
+        "silent_error": {
+            "display_name": "Silent Errors",
+            "info": "If True, errors will not be raised.",
+            "advanced": True,
+        },
+    }
+
+    def build(self, data: Data, keys: list[str], silent_error: bool = True) -> Data:
+        """
+        Extracts the keys from a data.
+
+        Args:
+            data (Data): The data from which to extract the keys.
+            keys (list[str]): The keys to extract from the data.
+            silent_error (bool): If True, errors will not be raised.
+
+        Returns:
+            dict: The extracted keys.
+        """
+        extracted_keys = {}
+        for key in keys:
+            try:
+                extracted_keys[key] = getattr(data, key)
+            except AttributeError:
+                if not silent_error:
+                    raise KeyError(f"The key '{key}' does not exist in the data.")
+        return_data = Data(data=extracted_keys)
+        self.status = return_data
+        return return_data
diff --git a/src/backend/base/langflow/components/deactivated/ListFlows.py b/src/backend/base/langflow/components/deactivated/ListFlows.py
new file mode 100644
index 00000000000..38fb2b967d9
--- /dev/null
+++ b/src/backend/base/langflow/components/deactivated/ListFlows.py
@@ -0,0 +1,21 @@
+from typing import List
+
+from langflow.custom import CustomComponent
+from langflow.schema import Data
+
+
+class ListFlowsComponent(CustomComponent):
+    display_name = "List Flows"
+    description = "A component to list all available flows."
+    icon = "ListFlows"
+    beta: bool = True
+
+    def build_config(self):
+        return {}
+
+    def build(
+        self,
+    ) -> List[Data]:
+        flows = self.list_flows()
+        self.status = flows
+        return flows
diff --git a/src/backend/base/langflow/components/deactivated/MergeData.py b/src/backend/base/langflow/components/deactivated/MergeData.py
new file mode 100644
index 00000000000..51dfc4a6a71
--- /dev/null
+++ b/src/backend/base/langflow/components/deactivated/MergeData.py
@@ -0,0 +1,26 @@
+from langflow.custom import CustomComponent
+from langflow.schema import Data
+
+
+class MergeDataComponent(CustomComponent):
+    display_name = "Merge Data"
+    description = "Merges data."
+    beta: bool = True
+
+    field_config = {
+        "data": {"display_name": "Data"},
+    }
+
+    def build(self, data: list[Data]) -> Data:
+        if not data:
+            return Data()
+        if len(data) == 1:
+            return data[0]
+        merged_data = Data()
+        for value in data:
+            if merged_data is None:
+                merged_data = value
+            else:
+                merged_data += value
+        self.status = merged_data
+        return merged_data
diff --git a/src/backend/base/langflow/components/deactivated/Message.py b/src/backend/base/langflow/components/deactivated/Message.py
new file mode 100644
index 00000000000..9fdd8a0da52
--- /dev/null
+++ b/src/backend/base/langflow/components/deactivated/Message.py
@@ -0,0 +1,38 @@
+from typing import Optional
+
+from langflow.custom import CustomComponent
+from langflow.schema.message import Message
+
+
+class MessageComponent(CustomComponent):
+    display_name = "Message"
+    description = "Creates a Message object given a Session ID."
+
+    def build_config(self):
+        return {
+            "sender": {
+                "options": ["Machine", "User"],
+                "display_name": "Sender Type",
+            },
+            "sender_name": {"display_name": "Sender Name"},
+            "text": {"display_name": "Text"},
+            "session_id": {
+                "display_name": "Session ID",
+                "info": "Session ID of the chat history.",
+                "input_types": ["Text"],
+            },
+        }
+
+    def build(
+        self,
+        sender: str = "User",
+        sender_name: Optional[str] = None,
+        session_id: Optional[str] = None,
+        text: str = "",
+    ) -> Message:
+        message = Message(
+            text=text, sender=sender, sender_name=sender_name, flow_id=self.graph.flow_id, session_id=session_id
+        )
+
+        self.status = message
+        return message
diff --git a/src/backend/base/langflow/components/deactivated/SelectivePassThrough.py b/src/backend/base/langflow/components/deactivated/SelectivePassThrough.py
new file mode 100644
index 00000000000..605b54dfebd
--- /dev/null
+++ b/src/backend/base/langflow/components/deactivated/SelectivePassThrough.py
@@ -0,0 +1,75 @@
+from langflow.custom import Component
+from langflow.field_typing import Text
+from langflow.io import BoolInput, DropdownInput, MessageTextInput, Output
+
+
+class SelectivePassThroughComponent(Component):
+    display_name = "Selective Pass Through"
+    description = "Passes the specified value if a specified condition is met."
+    icon = "filter"
+
+    inputs = [
+        MessageTextInput(
+            name="input_value",
+            display_name="Input Value",
+            info="The primary input value to evaluate.",
+        ),
+        MessageTextInput(
+            name="comparison_value",
+            display_name="Comparison Value",
+            info="The value to compare against the input value.",
+        ),
+        DropdownInput(
+            name="operator",
+            display_name="Operator",
+            options=["equals", "not equals", "contains", "starts with", "ends with"],
+            info="Condition to evaluate the input value.",
+        ),
+        MessageTextInput(
+            name="value_to_pass",
+            display_name="Value to Pass",
+            info="The value to pass if the condition is met.",
+        ),
+        BoolInput(
+            name="case_sensitive",
+            display_name="Case Sensitive",
+            info="If true, the comparison will be case sensitive.",
+            value=False,
+            advanced=True,
+        ),
+    ]
+
+    outputs = [
+        Output(display_name="Passed Output", name="passed_output", method="pass_through"),
+    ]
+
+    def evaluate_condition(self, input_value: str, comparison_value: str, operator: str, case_sensitive: bool) -> bool:
+        if not case_sensitive:
+            input_value = input_value.lower()
+            comparison_value = comparison_value.lower()
+
+        if operator == "equals":
+            return input_value == comparison_value
+        elif operator == "not equals":
+            return input_value != comparison_value
+        elif operator == "contains":
+            return comparison_value in input_value
+        elif operator == "starts with":
+            return input_value.startswith(comparison_value)
+        elif operator == "ends with":
+            return input_value.endswith(comparison_value)
+        return False
+
+    def pass_through(self) -> Text:
+        input_value = self.input_value
+        comparison_value = self.comparison_value
+        operator = self.operator
+        value_to_pass = self.value_to_pass
+        case_sensitive = self.case_sensitive
+
+        if self.evaluate_condition(input_value, comparison_value, operator, case_sensitive):
+            self.status = value_to_pass
+            return value_to_pass
+        else:
+            self.status = ""
+            return ""
diff --git a/src/backend/base/langflow/components/deactivated/ShouldRunNext.py b/src/backend/base/langflow/components/deactivated/ShouldRunNext.py
new file mode 100644
index 00000000000..7ca5651a7c1
--- /dev/null
+++ b/src/backend/base/langflow/components/deactivated/ShouldRunNext.py
@@ -0,0 +1,30 @@
+from langchain_core.messages import BaseMessage
+from langchain_core.prompts import PromptTemplate
+
+from langflow.custom import CustomComponent
+from langflow.field_typing import LanguageModel, Text
+
+
+class ShouldRunNextComponent(CustomComponent):
+    display_name = "Should Run Next"
+    description = "Determines if a vertex is runnable."
+
+    def build(self, llm: LanguageModel, question: str, context: str, retries: int = 3) -> Text:
+        template = "Given the following question and the context below, answer with a yes or no.\n\n{error_message}\n\nQuestion: {question}\n\nContext: {context}\n\nAnswer:"
+
+        prompt = PromptTemplate.from_template(template)
+        chain = prompt | llm
+        error_message = ""
+        for i in range(retries):
+            result = chain.invoke(dict(question=question, context=context, error_message=error_message))
+            if isinstance(result, BaseMessage):
+                content = result.content
+            elif isinstance(result, str):
+                content = result
+            if isinstance(content, str) and content.lower().strip() in ["yes", "no"]:
+                break
+        condition = str(content).lower().strip() == "yes"
+        self.status = f"Should Run Next: {condition}"
+        if condition is False:
+            self.stop()
+        return context
diff --git a/src/backend/base/langflow/components/deactivated/SplitText.py b/src/backend/base/langflow/components/deactivated/SplitText.py
new file mode 100644
index 00000000000..f3529baf3ff
--- /dev/null
+++ b/src/backend/base/langflow/components/deactivated/SplitText.py
@@ -0,0 +1,70 @@
+from typing import List
+
+from langchain_text_splitters import CharacterTextSplitter
+
+from langflow.custom import Component
+from langflow.io import HandleInput, IntInput, MessageTextInput, Output
+from langflow.schema import Data
+from langflow.utils.util import unescape_string
+
+
+class SplitTextComponent(Component):
+    display_name: str = "Split Text"
+    description: str = "Split text into chunks based on specified criteria."
+    icon = "scissors-line-dashed"
+
+    inputs = [
+        HandleInput(
+            name="data_inputs",
+            display_name="Data Inputs",
+            info="The data to split.",
+            input_types=["Data"],
+            is_list=True,
+        ),
+        IntInput(
+            name="chunk_overlap",
+            display_name="Chunk Overlap",
+            info="Number of characters to overlap between chunks.",
+            value=200,
+        ),
+        IntInput(
+            name="chunk_size",
+            display_name="Chunk Size",
+            info="The maximum number of characters in each chunk.",
+            value=1000,
+        ),
+        MessageTextInput(
+            name="separator",
+            display_name="Separator",
+            info="The character to split on. Defaults to newline.",
+            value="\n",
+        ),
+    ]
+
+    outputs = [
+        Output(display_name="Chunks", name="chunks", method="split_text"),
+    ]
+
+    def _docs_to_data(self, docs):
+        data = []
+        for doc in docs:
+            data.append(Data(text=doc.page_content, data=doc.metadata))
+        return data
+
+    def split_text(self) -> List[Data]:
+        separator = unescape_string(self.separator)
+
+        documents = []
+        for _input in self.data_inputs:
+            if isinstance(_input, Data):
+                documents.append(_input.to_lc_document())
+
+        splitter = CharacterTextSplitter(
+            chunk_overlap=self.chunk_overlap,
+            chunk_size=self.chunk_size,
+            separator=separator,
+        )
+        docs = splitter.split_documents(documents)
+        data = self._docs_to_data(docs)
+        self.status = data
+        return data
diff --git a/src/backend/base/langflow/components/deactivated/StoreMessage.py b/src/backend/base/langflow/components/deactivated/StoreMessage.py
new file mode 100644
index 00000000000..5d0abfbb977
--- /dev/null
+++ b/src/backend/base/langflow/components/deactivated/StoreMessage.py
@@ -0,0 +1,22 @@
+from langflow.custom import CustomComponent
+from langflow.memory import get_messages, store_message
+from langflow.schema.message import Message
+
+
+class StoreMessageComponent(CustomComponent):
+    display_name = "Store Message"
+    description = "Stores a chat message."
+
+    def build_config(self):
+        return {
+            "message": {"display_name": "Message"},
+        }
+
+    def build(
+        self,
+        message: Message,
+    ) -> Message:
+        store_message(message, flow_id=self.graph.flow_id)
+        self.status = get_messages()
+
+        return message
diff --git a/src/backend/base/langflow/components/deactivated/SubFlow.py b/src/backend/base/langflow/components/deactivated/SubFlow.py
new file mode 100644
index 00000000000..b0631ee9910
--- /dev/null
+++ b/src/backend/base/langflow/components/deactivated/SubFlow.py
@@ -0,0 +1,115 @@
+from typing import Any, List, Optional
+
+from langflow.base.flow_processing.utils import build_data_from_result_data
+from langflow.custom import CustomComponent
+from langflow.graph.graph.base import Graph
+from langflow.graph.schema import RunOutputs
+from langflow.graph.vertex.base import Vertex
+from langflow.helpers.flow import get_flow_inputs
+from langflow.schema import Data
+from langflow.schema.dotdict import dotdict
+from langflow.template.field.base import Input
+from loguru import logger
+
+
+class SubFlowComponent(CustomComponent):
+    display_name = "Sub Flow"
+    description = (
+        "Dynamically Generates a Component from a Flow. The output is a list of data with keys 'result' and 'message'."
+    )
+    beta: bool = True
+    field_order = ["flow_name"]
+
+    def get_flow_names(self) -> List[str]:
+        flow_datas = self.list_flows()
+        return [flow_data.data["name"] for flow_data in flow_datas]
+
+    def get_flow(self, flow_name: str) -> Optional[Data]:
+        flow_datas = self.list_flows()
+        for flow_data in flow_datas:
+            if flow_data.data["name"] == flow_name:
+                return flow_data
+        return None
+
+    def update_build_config(self, build_config: dotdict, field_value: Any, field_name: str | None = None):
+        logger.debug(f"Updating build config with field value {field_value} and field name {field_name}")
+        if field_name == "flow_name":
+            build_config["flow_name"]["options"] = self.get_flow_names()
+        # Clean up the build config
+        for key in list(build_config.keys()):
+            if key not in self.field_order + ["code", "_type", "get_final_results_only"]:
+                del build_config[key]
+        if field_value is not None and field_name == "flow_name":
+            try:
+                flow_data = self.get_flow(field_value)
+                if not flow_data:
+                    raise ValueError(f"Flow {field_value} not found.")
+                graph = Graph.from_payload(flow_data.data["data"])
+                # Get all inputs from the graph
+                inputs = get_flow_inputs(graph)
+                # Add inputs to the build config
+                build_config = self.add_inputs_to_build_config(inputs, build_config)
+            except Exception as e:
+                logger.error(f"Error getting flow {field_value}: {str(e)}")
+
+        return build_config
+
+    def add_inputs_to_build_config(self, inputs: List[Vertex], build_config: dotdict):
+        new_fields: list[Input] = []
+        for vertex in inputs:
+            field = Input(
+                display_name=vertex.display_name,
+                name=vertex.id,
+                info=vertex.description,
+                field_type="str",
+                value=None,
+            )
+            new_fields.append(field)
+        logger.debug(new_fields)
+        for field in new_fields:
+            build_config[field.name] = field.to_dict()
+        return build_config
+
+    def build_config(self):
+        return {
+            "input_value": {
+                "display_name": "Input Value",
+                "multiline": True,
+            },
+            "flow_name": {
+                "display_name": "Flow Name",
+                "info": "The name of the flow to run.",
+                "options": [],
+                "real_time_refresh": True,
+                "refresh_button": True,
+            },
+            "tweaks": {
+                "display_name": "Tweaks",
+                "info": "Tweaks to apply to the flow.",
+            },
+            "get_final_results_only": {
+                "display_name": "Get Final Results Only",
+                "info": "If False, the output will contain all outputs from the flow.",
+                "advanced": True,
+            },
+        }
+
+    async def build(self, flow_name: str, get_final_results_only: bool = True, **kwargs) -> List[Data]:
+        tweaks = {key: {"input_value": value} for key, value in kwargs.items()}
+        run_outputs: List[Optional[RunOutputs]] = await self.run_flow(
+            tweaks=tweaks,
+            flow_name=flow_name,
+        )
+        if not run_outputs:
+            return []
+        run_output = run_outputs[0]
+
+        data = []
+        if run_output is not None:
+            for output in run_output.outputs:
+                if output:
+                    data.extend(build_data_from_result_data(output, get_final_results_only))
+
+        self.status = data
+        logger.debug(data)
+        return data
diff --git a/src/backend/base/langflow/components/deactivated/__init__.py b/src/backend/base/langflow/components/deactivated/__init__.py
new file mode 100644
index 00000000000..51ef2e465b9
--- /dev/null
+++ b/src/backend/base/langflow/components/deactivated/__init__.py
@@ -0,0 +1,23 @@
+from .AgentComponent import AgentComponent
+from .ExtractKeyFromData import ExtractKeyFromDataComponent
+from .ListFlows import ListFlowsComponent
+from .MergeData import MergeDataComponent
+from .SelectivePassThrough import SelectivePassThroughComponent
+from .SubFlow import SubFlowComponent
+
+__all__ = [
+    "AgentComponent",
+    "ConditionalRouterComponent",
+    "ExtractKeyFromDataComponent",
+    "FlowToolComponent",
+    "ListenComponent",
+    "ListFlowsComponent",
+    "MergeDataComponent",
+    "NotifyComponent",
+    "PythonFunctionComponent",
+    "RunFlowComponent",
+    "SplitTextComponent",
+    "SQLExecutorComponent",
+    "SubFlowComponent",
+    "SelectivePassThroughComponent",
+]
diff --git a/src/backend/langflow/custom/__init__.py b/src/backend/base/langflow/components/documentloaders/__init__.py
similarity index 100%
rename from src/backend/langflow/custom/__init__.py
rename to src/backend/base/langflow/components/documentloaders/__init__.py
diff --git a/src/backend/base/langflow/components/embeddings/AmazonBedrockEmbeddings.py b/src/backend/base/langflow/components/embeddings/AmazonBedrockEmbeddings.py
new file mode 100644
index 00000000000..9578bedc5f9
--- /dev/null
+++ b/src/backend/base/langflow/components/embeddings/AmazonBedrockEmbeddings.py
@@ -0,0 +1,49 @@
+from langchain_community.embeddings import BedrockEmbeddings
+
+from langflow.base.models.model import LCModelComponent
+from langflow.field_typing import Embeddings
+from langflow.io import DropdownInput, MessageTextInput, Output
+
+
+class AmazonBedrockEmbeddingsComponent(LCModelComponent):
+    display_name: str = "Amazon Bedrock Embeddings"
+    description: str = "Generate embeddings using Amazon Bedrock models."
+    documentation = "https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock"
+    icon = "Amazon"
+
+    inputs = [
+        DropdownInput(
+            name="model_id",
+            display_name="Model Id",
+            options=["amazon.titan-embed-text-v1"],
+            value="amazon.titan-embed-text-v1",
+        ),
+        MessageTextInput(
+            name="credentials_profile_name",
+            display_name="Credentials Profile Name",
+        ),
+        MessageTextInput(
+            name="endpoint_url",
+            display_name="Bedrock Endpoint URL",
+        ),
+        MessageTextInput(
+            name="region_name",
+            display_name="AWS Region",
+        ),
+    ]
+
+    outputs = [
+        Output(display_name="Embeddings", name="embeddings", method="build_embeddings"),
+    ]
+
+    def build_embeddings(self) -> Embeddings:
+        try:
+            output = BedrockEmbeddings(
+                credentials_profile_name=self.credentials_profile_name,
+                model_id=self.model_id,
+                endpoint_url=self.endpoint_url,
+                region_name=self.region_name,
+            )  # type: ignore
+        except Exception as e:
+            raise ValueError("Could not connect to Amazon Bedrock API.") from e
+        return output
diff --git a/src/backend/base/langflow/components/embeddings/AstraVectorize.py b/src/backend/base/langflow/components/embeddings/AstraVectorize.py
new file mode 100644
index 00000000000..8c9e6d974c3
--- /dev/null
+++ b/src/backend/base/langflow/components/embeddings/AstraVectorize.py
@@ -0,0 +1,57 @@
+from typing import Any
+from langflow.custom import Component
+from langflow.inputs.inputs import DictInput, SecretStrInput, MessageTextInput
+from langflow.template.field.base import Output
+
+
+class AstraVectorize(Component):
+    display_name: str = "Astra Vectorize"
+    description: str = "Configuration options for Astra Vectorize server-side embeddings."
+    documentation: str = "https://docs.datastax.com/en/astra-db-serverless/databases/embedding-generation.html"
+    icon = "AstraDB"
+
+    inputs = [
+        MessageTextInput(
+            name="provider",
+            display_name="Provider name",
+            info="The embedding provider to use.",
+        ),
+        MessageTextInput(
+            name="model_name",
+            display_name="Model name",
+            info="The embedding model to use.",
+        ),
+        DictInput(
+            name="authentication",
+            display_name="Authentication",
+            info="Authentication parameters. Use the Astra Portal to add the embedding provider integration to your Astra organization.",
+            is_list=True,
+        ),
+        SecretStrInput(
+            name="provider_api_key",
+            display_name="Provider API Key",
+            info="An alternative to the Astra Authentication that let you use directly the API key of the provider.",
+        ),
+        DictInput(
+            name="model_parameters",
+            display_name="Model parameters",
+            info="Additional model parameters.",
+            advanced=True,
+            is_list=True,
+        ),
+    ]
+    outputs = [
+        Output(display_name="Vectorize", name="config", method="build_options", types=["dict"]),
+    ]
+
+    def build_options(self) -> dict[str, Any]:
+        return {
+            # must match exactly astra CollectionVectorServiceOptions
+            "collection_vector_service_options": {
+                "provider": self.provider,
+                "modelName": self.model_name,
+                "authentication": self.authentication,
+                "parameters": self.model_parameters,
+            },
+            "collection_embedding_api_key": self.provider_api_key,
+        }
diff --git a/src/backend/base/langflow/components/embeddings/AzureOpenAIEmbeddings.py b/src/backend/base/langflow/components/embeddings/AzureOpenAIEmbeddings.py
new file mode 100644
index 00000000000..c838b328e15
--- /dev/null
+++ b/src/backend/base/langflow/components/embeddings/AzureOpenAIEmbeddings.py
@@ -0,0 +1,77 @@
+from langchain_openai import AzureOpenAIEmbeddings
+from pydantic.v1 import SecretStr
+
+from langflow.base.models.model import LCModelComponent
+from langflow.field_typing import Embeddings
+from langflow.io import DropdownInput, IntInput, MessageTextInput, Output, SecretStrInput
+
+
+class AzureOpenAIEmbeddingsComponent(LCModelComponent):
+    display_name: str = "Azure OpenAI Embeddings"
+    description: str = "Generate embeddings using Azure OpenAI models."
+    documentation: str = "https://python.langchain.com/docs/integrations/text_embedding/azureopenai"
+    icon = "Azure"
+
+    API_VERSION_OPTIONS = [
+        "2022-12-01",
+        "2023-03-15-preview",
+        "2023-05-15",
+        "2023-06-01-preview",
+        "2023-07-01-preview",
+        "2023-08-01-preview",
+    ]
+
+    inputs = [
+        MessageTextInput(
+            name="azure_endpoint",
+            display_name="Azure Endpoint",
+            required=True,
+            info="Your Azure endpoint, including the resource. Example: `https://example-resource.azure.openai.com/`",
+        ),
+        MessageTextInput(
+            name="azure_deployment",
+            display_name="Deployment Name",
+            required=True,
+        ),
+        DropdownInput(
+            name="api_version",
+            display_name="API Version",
+            options=API_VERSION_OPTIONS,
+            value=API_VERSION_OPTIONS[-1],
+            advanced=True,
+        ),
+        SecretStrInput(
+            name="api_key",
+            display_name="API Key",
+            required=True,
+        ),
+        IntInput(
+            name="dimensions",
+            display_name="Dimensions",
+            info="The number of dimensions the resulting output embeddings should have. Only supported by certain models.",
+            advanced=True,
+        ),
+    ]
+
+    outputs = [
+        Output(display_name="Embeddings", name="embeddings", method="build_embeddings"),
+    ]
+
+    def build_embeddings(self) -> Embeddings:
+        if not self.api_key:
+            raise ValueError("API Key is required")
+
+        azure_api_key = SecretStr(self.api_key)
+
+        try:
+            embeddings = AzureOpenAIEmbeddings(
+                azure_endpoint=self.azure_endpoint,
+                azure_deployment=self.azure_deployment,
+                api_version=self.api_version,
+                api_key=azure_api_key,
+                dimensions=self.dimensions,
+            )
+        except Exception as e:
+            raise ValueError("Could not connect to AzureOpenAIEmbeddings API.") from e
+
+        return embeddings
diff --git a/src/backend/base/langflow/components/embeddings/CohereEmbeddings.py b/src/backend/base/langflow/components/embeddings/CohereEmbeddings.py
new file mode 100644
index 00000000000..80967becf95
--- /dev/null
+++ b/src/backend/base/langflow/components/embeddings/CohereEmbeddings.py
@@ -0,0 +1,44 @@
+from langchain_community.embeddings.cohere import CohereEmbeddings
+
+from langflow.base.models.model import LCModelComponent
+from langflow.field_typing import Embeddings
+from langflow.io import DropdownInput, FloatInput, IntInput, MessageTextInput, Output, SecretStrInput
+
+
+class CohereEmbeddingsComponent(LCModelComponent):
+    display_name = "Cohere Embeddings"
+    description = "Generate embeddings using Cohere models."
+    icon = "Cohere"
+    inputs = [
+        SecretStrInput(name="cohere_api_key", display_name="Cohere API Key"),
+        DropdownInput(
+            name="model",
+            display_name="Model",
+            advanced=True,
+            options=[
+                "embed-english-v2.0",
+                "embed-multilingual-v2.0",
+                "embed-english-light-v2.0",
+                "embed-multilingual-light-v2.0",
+            ],
+            value="embed-english-v2.0",
+        ),
+        MessageTextInput(name="truncate", display_name="Truncate", advanced=True),
+        IntInput(name="max_retries", display_name="Max Retries", value=3, advanced=True),
+        MessageTextInput(name="user_agent", display_name="User Agent", advanced=True, value="langchain"),
+        FloatInput(name="request_timeout", display_name="Request Timeout", advanced=True),
+    ]
+
+    outputs = [
+        Output(display_name="Embeddings", name="embeddings", method="build_embeddings"),
+    ]
+
+    def build_embeddings(self) -> Embeddings:
+        return CohereEmbeddings(  # type: ignore
+            cohere_api_key=self.cohere_api_key,
+            model=self.model,
+            truncate=self.truncate,
+            max_retries=self.max_retries,
+            user_agent=self.user_agent,
+            request_timeout=self.request_timeout or None,
+        )
diff --git a/src/backend/base/langflow/components/embeddings/HuggingFaceEmbeddings.py b/src/backend/base/langflow/components/embeddings/HuggingFaceEmbeddings.py
new file mode 100644
index 00000000000..fda48b2a38e
--- /dev/null
+++ b/src/backend/base/langflow/components/embeddings/HuggingFaceEmbeddings.py
@@ -0,0 +1,35 @@
+from langchain_community.embeddings.huggingface import HuggingFaceEmbeddings
+
+from langflow.base.models.model import LCModelComponent
+from langflow.field_typing import Embeddings
+from langflow.io import BoolInput, DictInput, MessageTextInput, Output
+
+
+class HuggingFaceEmbeddingsComponent(LCModelComponent):
+    display_name = "Hugging Face Embeddings"
+    description = "Generate embeddings using HuggingFace models."
+    documentation = (
+        "https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/sentence_transformers"
+    )
+    icon = "HuggingFace"
+
+    inputs = [
+        MessageTextInput(name="cache_folder", display_name="Cache Folder", advanced=True),
+        DictInput(name="encode_kwargs", display_name="Encode Kwargs", advanced=True),
+        DictInput(name="model_kwargs", display_name="Model Kwargs", advanced=True),
+        MessageTextInput(name="model_name", display_name="Model Name", value="sentence-transformers/all-mpnet-base-v2"),
+        BoolInput(name="multi_process", display_name="Multi Process", advanced=True),
+    ]
+
+    outputs = [
+        Output(display_name="Embeddings", name="embeddings", method="build_embeddings"),
+    ]
+
+    def build_embeddings(self) -> Embeddings:
+        return HuggingFaceEmbeddings(
+            cache_folder=self.cache_folder,
+            encode_kwargs=self.encode_kwargs,
+            model_kwargs=self.model_kwargs,
+            model_name=self.model_name,
+            multi_process=self.multi_process,
+        )
diff --git a/src/backend/base/langflow/components/embeddings/HuggingFaceInferenceAPIEmbeddings.py b/src/backend/base/langflow/components/embeddings/HuggingFaceInferenceAPIEmbeddings.py
new file mode 100644
index 00000000000..215ba944283
--- /dev/null
+++ b/src/backend/base/langflow/components/embeddings/HuggingFaceInferenceAPIEmbeddings.py
@@ -0,0 +1,31 @@
+from langchain_community.embeddings.huggingface import HuggingFaceInferenceAPIEmbeddings
+from pydantic.v1.types import SecretStr
+
+from langflow.base.models.model import LCModelComponent
+from langflow.field_typing import Embeddings
+from langflow.io import MessageTextInput, Output, SecretStrInput
+
+
+class HuggingFaceInferenceAPIEmbeddingsComponent(LCModelComponent):
+    display_name = "Hugging Face API Embeddings"
+    description = "Generate embeddings using Hugging Face Inference API models."
+    documentation = "https://github.com/huggingface/text-embeddings-inference"
+    icon = "HuggingFace"
+
+    inputs = [
+        SecretStrInput(name="api_key", display_name="API Key", advanced=True),
+        MessageTextInput(name="api_url", display_name="API URL", advanced=True, value="http://localhost:8080"),
+        MessageTextInput(name="model_name", display_name="Model Name", value="BAAI/bge-large-en-v1.5"),
+    ]
+
+    outputs = [
+        Output(display_name="Embeddings", name="embeddings", method="build_embeddings"),
+    ]
+
+    def build_embeddings(self) -> Embeddings:
+        if not self.api_key:
+            raise ValueError("API Key is required")
+
+        api_key = SecretStr(self.api_key)
+
+        return HuggingFaceInferenceAPIEmbeddings(api_key=api_key, api_url=self.api_url, model_name=self.model_name)
diff --git a/src/backend/base/langflow/components/embeddings/MistalAIEmbeddings.py b/src/backend/base/langflow/components/embeddings/MistalAIEmbeddings.py
new file mode 100644
index 00000000000..39e63c53ccf
--- /dev/null
+++ b/src/backend/base/langflow/components/embeddings/MistalAIEmbeddings.py
@@ -0,0 +1,56 @@
+from langchain_mistralai.embeddings import MistralAIEmbeddings
+from pydantic.v1 import SecretStr
+
+from langflow.base.models.model import LCModelComponent
+from langflow.field_typing import Embeddings
+from langflow.io import DropdownInput, IntInput, MessageTextInput, Output, SecretStrInput
+
+
+class MistralAIEmbeddingsComponent(LCModelComponent):
+    display_name = "MistralAI Embeddings"
+    description = "Generate embeddings using MistralAI models."
+    icon = "MistralAI"
+
+    inputs = [
+        DropdownInput(
+            name="model",
+            display_name="Model",
+            advanced=False,
+            options=["mistral-embed"],
+            value="mistral-embed",
+        ),
+        SecretStrInput(name="mistral_api_key", display_name="Mistral API Key"),
+        IntInput(
+            name="max_concurrent_requests",
+            display_name="Max Concurrent Requests",
+            advanced=True,
+            value=64,
+        ),
+        IntInput(name="max_retries", display_name="Max Retries", advanced=True, value=5),
+        IntInput(name="timeout", display_name="Request Timeout", advanced=True, value=120),
+        MessageTextInput(
+            name="endpoint",
+            display_name="API Endpoint",
+            advanced=True,
+            value="https://api.mistral.ai/v1/",
+        ),
+    ]
+
+    outputs = [
+        Output(display_name="Embeddings", name="embeddings", method="build_embeddings"),
+    ]
+
+    def build_embeddings(self) -> Embeddings:
+        if not self.mistral_api_key:
+            raise ValueError("Mistral API Key is required")
+
+        api_key = SecretStr(self.mistral_api_key)
+
+        return MistralAIEmbeddings(
+            api_key=api_key,
+            model=self.model,
+            endpoint=self.endpoint,
+            max_concurrent_requests=self.max_concurrent_requests,
+            max_retries=self.max_retries,
+            timeout=self.timeout,
+        )
diff --git a/src/backend/base/langflow/components/embeddings/OllamaEmbeddings.py b/src/backend/base/langflow/components/embeddings/OllamaEmbeddings.py
new file mode 100644
index 00000000000..103ca3f1bde
--- /dev/null
+++ b/src/backend/base/langflow/components/embeddings/OllamaEmbeddings.py
@@ -0,0 +1,46 @@
+from langchain_community.embeddings import OllamaEmbeddings
+
+from langflow.base.models.model import LCModelComponent
+from langflow.field_typing import Embeddings
+from langflow.io import FloatInput, MessageTextInput, Output
+
+
+class OllamaEmbeddingsComponent(LCModelComponent):
+    display_name: str = "Ollama Embeddings"
+    description: str = "Generate embeddings using Ollama models."
+    documentation = "https://python.langchain.com/docs/integrations/text_embedding/ollama"
+    icon = "Ollama"
+
+    inputs = [
+        MessageTextInput(
+            name="model",
+            display_name="Ollama Model",
+            value="llama2",
+        ),
+        MessageTextInput(
+            name="base_url",
+            display_name="Ollama Base URL",
+            value="http://localhost:11434",
+        ),
+        FloatInput(
+            name="temperature",
+            display_name="Model Temperature",
+            value=0.1,
+            advanced=True,
+        ),
+    ]
+
+    outputs = [
+        Output(display_name="Embeddings", name="embeddings", method="build_embeddings"),
+    ]
+
+    def build_embeddings(self) -> Embeddings:
+        try:
+            output = OllamaEmbeddings(
+                model=self.model,
+                base_url=self.base_url,
+                temperature=self.temperature,
+            )  # type: ignore
+        except Exception as e:
+            raise ValueError("Could not connect to Ollama API.") from e
+        return output
diff --git a/src/backend/base/langflow/components/embeddings/OpenAIEmbeddings.py b/src/backend/base/langflow/components/embeddings/OpenAIEmbeddings.py
new file mode 100644
index 00000000000..039caea245b
--- /dev/null
+++ b/src/backend/base/langflow/components/embeddings/OpenAIEmbeddings.py
@@ -0,0 +1,92 @@
+from langchain_openai.embeddings.base import OpenAIEmbeddings
+
+from langflow.base.embeddings.model import LCEmbeddingsModel
+from langflow.field_typing import Embeddings
+from langflow.io import BoolInput, DictInput, DropdownInput, FloatInput, IntInput, MessageTextInput, SecretStrInput
+
+
+class OpenAIEmbeddingsComponent(LCEmbeddingsModel):
+    display_name = "OpenAI Embeddings"
+    description = "Generate embeddings using OpenAI models."
+    icon = "OpenAI"
+    inputs = [
+        DictInput(
+            name="default_headers",
+            display_name="Default Headers",
+            advanced=True,
+            info="Default headers to use for the API request.",
+        ),
+        DictInput(
+            name="default_query",
+            display_name="Default Query",
+            advanced=True,
+            info="Default query parameters to use for the API request.",
+        ),
+        IntInput(name="chunk_size", display_name="Chunk Size", advanced=True, value=1000),
+        MessageTextInput(name="client", display_name="Client", advanced=True),
+        MessageTextInput(name="deployment", display_name="Deployment", advanced=True),
+        IntInput(name="embedding_ctx_length", display_name="Embedding Context Length", advanced=True, value=1536),
+        IntInput(name="max_retries", display_name="Max Retries", value=3, advanced=True),
+        DropdownInput(
+            name="model",
+            display_name="Model",
+            advanced=False,
+            options=[
+                "text-embedding-3-small",
+                "text-embedding-3-large",
+                "text-embedding-ada-002",
+            ],
+            value="text-embedding-3-small",
+        ),
+        DictInput(name="model_kwargs", display_name="Model Kwargs", advanced=True),
+        SecretStrInput(name="openai_api_base", display_name="OpenAI API Base", advanced=True),
+        SecretStrInput(name="openai_api_key", display_name="OpenAI API Key"),
+        SecretStrInput(name="openai_api_type", display_name="OpenAI API Type", advanced=True),
+        MessageTextInput(name="openai_api_version", display_name="OpenAI API Version", advanced=True),
+        MessageTextInput(
+            name="openai_organization",
+            display_name="OpenAI Organization",
+            advanced=True,
+        ),
+        MessageTextInput(name="openai_proxy", display_name="OpenAI Proxy", advanced=True),
+        FloatInput(name="request_timeout", display_name="Request Timeout", advanced=True),
+        BoolInput(name="show_progress_bar", display_name="Show Progress Bar", advanced=True),
+        BoolInput(name="skip_empty", display_name="Skip Empty", advanced=True),
+        MessageTextInput(
+            name="tiktoken_model_name",
+            display_name="TikToken Model Name",
+            advanced=True,
+        ),
+        BoolInput(
+            name="tiktoken_enable",
+            display_name="TikToken Enable",
+            advanced=True,
+            value=True,
+            info="If False, you must have transformers installed.",
+        ),
+    ]
+
+    def build_embeddings(self) -> Embeddings:
+        return OpenAIEmbeddings(
+            tiktoken_enabled=self.tiktoken_enable,
+            default_headers=self.default_headers,
+            default_query=self.default_query,
+            allowed_special="all",
+            disallowed_special="all",
+            chunk_size=self.chunk_size,
+            deployment=self.deployment,
+            embedding_ctx_length=self.embedding_ctx_length,
+            max_retries=self.max_retries,
+            model=self.model,
+            model_kwargs=self.model_kwargs,
+            base_url=self.openai_api_base,
+            api_key=self.openai_api_key,
+            openai_api_type=self.openai_api_type,
+            api_version=self.openai_api_version,
+            organization=self.openai_organization,
+            openai_proxy=self.openai_proxy,
+            timeout=self.request_timeout or None,
+            show_progress_bar=self.show_progress_bar,
+            skip_empty=self.skip_empty,
+            tiktoken_model_name=self.tiktoken_model_name,
+        )
diff --git a/src/backend/base/langflow/components/embeddings/VertexAIEmbeddings.py b/src/backend/base/langflow/components/embeddings/VertexAIEmbeddings.py
new file mode 100644
index 00000000000..31c1ae52867
--- /dev/null
+++ b/src/backend/base/langflow/components/embeddings/VertexAIEmbeddings.py
@@ -0,0 +1,119 @@
+from langflow.base.models.model import LCModelComponent
+from langflow.field_typing import Embeddings
+from langflow.io import BoolInput, DictInput, FileInput, FloatInput, IntInput, MessageTextInput, Output
+
+
+class VertexAIEmbeddingsComponent(LCModelComponent):
+    display_name = "VertexAI Embeddings"
+    description = "Generate embeddings using Google Cloud VertexAI models."
+    icon = "VertexAI"
+
+    inputs = [
+        FileInput(
+            name="credentials",
+            display_name="Credentials",
+            value="",
+            file_types=["json"],  # Removed the dot
+        ),
+        DictInput(
+            name="instance",
+            display_name="Instance",
+            advanced=True,
+        ),
+        MessageTextInput(
+            name="location",
+            display_name="Location",
+            value="us-central1",
+            advanced=True,
+        ),
+        IntInput(
+            name="max_output_tokens",
+            display_name="Max Output Tokens",
+            value=128,
+        ),
+        IntInput(
+            name="max_retries",
+            display_name="Max Retries",
+            value=6,
+            advanced=True,
+        ),
+        MessageTextInput(
+            name="model_name",
+            display_name="Model Name",
+            value="textembedding-gecko",
+        ),
+        IntInput(
+            name="n",
+            display_name="N",
+            value=1,
+            advanced=True,
+        ),
+        MessageTextInput(
+            name="project",
+            display_name="Project",
+            advanced=True,
+        ),
+        IntInput(
+            name="request_parallelism",
+            display_name="Request Parallelism",
+            value=5,
+            advanced=True,
+        ),
+        MessageTextInput(
+            name="stop",
+            display_name="Stop",
+            advanced=True,
+        ),
+        BoolInput(
+            name="streaming",
+            display_name="Streaming",
+            value=False,
+            advanced=True,
+        ),
+        FloatInput(
+            name="temperature",
+            display_name="Temperature",
+            value=0.0,
+        ),
+        IntInput(
+            name="top_k",
+            display_name="Top K",
+            value=40,
+            advanced=True,
+        ),
+        FloatInput(
+            name="top_p",
+            display_name="Top P",
+            value=0.95,
+            advanced=True,
+        ),
+    ]
+
+    outputs = [
+        Output(display_name="Embeddings", name="embeddings", method="build_embeddings"),
+    ]
+
+    def build_embeddings(self) -> Embeddings:
+        try:
+            from langchain_google_vertexai import VertexAIEmbeddings
+        except ImportError:
+            raise ImportError(
+                "Please install the langchain-google-vertexai package to use the VertexAIEmbeddings component."
+            )
+
+        return VertexAIEmbeddings(
+            instance=self.instance,
+            credentials=self.credentials,
+            location=self.location,
+            max_output_tokens=self.max_output_tokens,
+            max_retries=self.max_retries,
+            model_name=self.model_name,
+            n=self.n,
+            project=self.project,
+            request_parallelism=self.request_parallelism,
+            stop=self.stop,
+            streaming=self.streaming,
+            temperature=self.temperature,
+            top_k=self.top_k,
+            top_p=self.top_p,
+        )
diff --git a/src/backend/base/langflow/components/embeddings/__init__.py b/src/backend/base/langflow/components/embeddings/__init__.py
new file mode 100644
index 00000000000..a55a13ffe4f
--- /dev/null
+++ b/src/backend/base/langflow/components/embeddings/__init__.py
@@ -0,0 +1,19 @@
+from .AmazonBedrockEmbeddings import AmazonBedrockEmbeddingsComponent
+from .AzureOpenAIEmbeddings import AzureOpenAIEmbeddingsComponent
+from .CohereEmbeddings import CohereEmbeddingsComponent
+from .HuggingFaceEmbeddings import HuggingFaceEmbeddingsComponent
+from .HuggingFaceInferenceAPIEmbeddings import HuggingFaceInferenceAPIEmbeddingsComponent
+from .OllamaEmbeddings import OllamaEmbeddingsComponent
+from .OpenAIEmbeddings import OpenAIEmbeddingsComponent
+from .VertexAIEmbeddings import VertexAIEmbeddingsComponent
+
+__all__ = [
+    "AmazonBedrockEmbeddingsComponent",
+    "AzureOpenAIEmbeddingsComponent",
+    "CohereEmbeddingsComponent",
+    "HuggingFaceEmbeddingsComponent",
+    "HuggingFaceInferenceAPIEmbeddingsComponent",
+    "OllamaEmbeddingsComponent",
+    "OpenAIEmbeddingsComponent",
+    "VertexAIEmbeddingsComponent",
+]
diff --git a/src/backend/base/langflow/components/helpers/CombineText.py b/src/backend/base/langflow/components/helpers/CombineText.py
new file mode 100644
index 00000000000..6bb3246c072
--- /dev/null
+++ b/src/backend/base/langflow/components/helpers/CombineText.py
@@ -0,0 +1,37 @@
+from langflow.custom import Component
+from langflow.io import MessageTextInput, Output
+from langflow.schema.message import Message
+
+
+class CombineTextComponent(Component):
+    display_name = "Combine Text"
+    description = "Concatenate two text sources into a single text chunk using a specified delimiter."
+    icon = "merge"
+
+    inputs = [
+        MessageTextInput(
+            name="text1",
+            display_name="First Text",
+            info="The first text input to concatenate.",
+        ),
+        MessageTextInput(
+            name="text2",
+            display_name="Second Text",
+            info="The second text input to concatenate.",
+        ),
+        MessageTextInput(
+            name="delimiter",
+            display_name="Delimiter",
+            info="A string used to separate the two text inputs. Defaults to a whitespace.",
+            value=" ",
+        ),
+    ]
+
+    outputs = [
+        Output(display_name="Combined Text", name="combined_text", method="combine_texts"),
+    ]
+
+    def combine_texts(self) -> Message:
+        combined = self.delimiter.join([self.text1, self.text2])
+        self.status = combined
+        return Message(text=combined)
diff --git a/src/backend/base/langflow/components/helpers/CustomComponent.py b/src/backend/base/langflow/components/helpers/CustomComponent.py
new file mode 100644
index 00000000000..1ff54fe8055
--- /dev/null
+++ b/src/backend/base/langflow/components/helpers/CustomComponent.py
@@ -0,0 +1,24 @@
+# from langflow.field_typing import Data
+from langflow.custom import Component
+from langflow.io import MessageTextInput, Output
+from langflow.schema import Data
+
+
+class CustomComponent(Component):
+    display_name = "Custom Component"
+    description = "Use as a template to create your own component."
+    documentation: str = "http://docs.langflow.org/components/custom"
+    icon = "custom_components"
+
+    inputs = [
+        MessageTextInput(name="input_value", display_name="Input Value", value="Hello, World!"),
+    ]
+
+    outputs = [
+        Output(display_name="Output", name="output", method="build_output"),
+    ]
+
+    def build_output(self) -> Data:
+        data = Data(value=self.input_value)
+        self.status = data
+        return data
diff --git a/src/backend/base/langflow/components/helpers/FilterData.py b/src/backend/base/langflow/components/helpers/FilterData.py
new file mode 100644
index 00000000000..94551854d7b
--- /dev/null
+++ b/src/backend/base/langflow/components/helpers/FilterData.py
@@ -0,0 +1,42 @@
+from typing import List
+
+from langflow.custom import Component
+from langflow.io import DataInput, MessageTextInput, Output
+from langflow.schema import Data
+
+
+class FilterDataComponent(Component):
+    display_name = "Filter Data"
+    description = "Filters a Data object based on a list of keys."
+    icon = "filter"
+    beta = True
+
+    inputs = [
+        DataInput(
+            name="data",
+            display_name="Data",
+            info="Data object to filter.",
+        ),
+        MessageTextInput(
+            name="filter_criteria",
+            display_name="Filter Criteria",
+            info="List of keys to filter by.",
+            is_list=True,
+        ),
+    ]
+
+    outputs = [
+        Output(display_name="Filtered Data", name="filtered_data", method="filter_data"),
+    ]
+
+    def filter_data(self) -> Data:
+        filter_criteria: List[str] = self.filter_criteria
+        data = self.data.data if isinstance(self.data, Data) else {}
+
+        # Filter the data
+        filtered = {key: value for key, value in data.items() if key in filter_criteria}
+
+        # Create a new Data object with the filtered data
+        filtered_data = Data(data=filtered)
+        self.status = filtered_data
+        return filtered_data
diff --git a/src/backend/base/langflow/components/helpers/IDGenerator.py b/src/backend/base/langflow/components/helpers/IDGenerator.py
new file mode 100644
index 00000000000..72a944f71df
--- /dev/null
+++ b/src/backend/base/langflow/components/helpers/IDGenerator.py
@@ -0,0 +1,28 @@
+import uuid
+from typing import Any, Optional
+
+from langflow.custom import CustomComponent
+from langflow.schema.dotdict import dotdict
+
+
+class UUIDGeneratorComponent(CustomComponent):
+    display_name = "ID Generator"
+    description = "Generates a unique ID."
+
+    def update_build_config(  # type: ignore
+        self, build_config: dotdict, field_value: Any, field_name: Optional[str] = None
+    ):
+        if field_name == "unique_id":
+            build_config[field_name]["value"] = str(uuid.uuid4())
+        return build_config
+
+    def build_config(self):
+        return {
+            "unique_id": {
+                "display_name": "Value",
+                "refresh_button": True,
+            }
+        }
+
+    def build(self, unique_id: str) -> str:
+        return unique_id
diff --git a/src/backend/base/langflow/components/helpers/Memory.py b/src/backend/base/langflow/components/helpers/Memory.py
new file mode 100644
index 00000000000..757526bbab4
--- /dev/null
+++ b/src/backend/base/langflow/components/helpers/Memory.py
@@ -0,0 +1,87 @@
+from langflow.custom import Component
+from langflow.helpers.data import data_to_text
+from langflow.io import DropdownInput, IntInput, MessageTextInput, MultilineInput, Output
+from langflow.memory import get_messages
+from langflow.schema import Data
+from langflow.schema.message import Message
+
+
+class MemoryComponent(Component):
+    display_name = "Chat Memory"
+    description = "Retrieves stored chat messages."
+    icon = "message-square-more"
+
+    inputs = [
+        DropdownInput(
+            name="sender",
+            display_name="Sender Type",
+            options=["Machine", "User", "Machine and User"],
+            value="Machine and User",
+            info="Type of sender.",
+            advanced=True,
+        ),
+        MessageTextInput(
+            name="sender_name",
+            display_name="Sender Name",
+            info="Name of the sender.",
+            advanced=True,
+        ),
+        IntInput(
+            name="n_messages",
+            display_name="Number of Messages",
+            value=100,
+            info="Number of messages to retrieve.",
+            advanced=True,
+        ),
+        MessageTextInput(
+            name="session_id",
+            display_name="Session ID",
+            info="Session ID of the chat history.",
+            advanced=True,
+        ),
+        DropdownInput(
+            name="order",
+            display_name="Order",
+            options=["Ascending", "Descending"],
+            value="Ascending",
+            info="Order of the messages.",
+            advanced=True,
+        ),
+        MultilineInput(
+            name="template",
+            display_name="Template",
+            info="The template to use for formatting the data. It can contain the keys {text}, {sender} or any other key in the message data.",
+            value="{sender_name}: {text}",
+            advanced=True,
+        ),
+    ]
+
+    outputs = [
+        Output(display_name="Chat History", name="messages", method="retrieve_messages"),
+        Output(display_name="Messages (Text)", name="messages_text", method="retrieve_messages_as_text"),
+    ]
+
+    def retrieve_messages(self) -> Data:
+        sender = self.sender
+        sender_name = self.sender_name
+        session_id = self.session_id
+        n_messages = self.n_messages
+        order = "DESC" if self.order == "Descending" else "ASC"
+
+        if sender == "Machine and User":
+            sender = None
+
+        messages = get_messages(
+            sender=sender,
+            sender_name=sender_name,
+            session_id=session_id,
+            limit=n_messages,
+            order=order,
+        )
+        self.status = messages
+        return messages
+
+    def retrieve_messages_as_text(self) -> Message:
+        messages_text = data_to_text(self.template, self.retrieve_messages())
+        self.status = messages_text
+        return Message(text=messages_text)
diff --git a/src/backend/base/langflow/components/helpers/MergeData.py b/src/backend/base/langflow/components/helpers/MergeData.py
new file mode 100644
index 00000000000..5d434d3cf6f
--- /dev/null
+++ b/src/backend/base/langflow/components/helpers/MergeData.py
@@ -0,0 +1,26 @@
+from langflow.custom import CustomComponent
+from langflow.schema import Data
+
+
+class MergeDataComponent(CustomComponent):
+    display_name = "Merge Data"
+    description = "Combines multiple data sources into a single unified Data object."
+    beta: bool = True
+
+    field_config = {
+        "data": {"display_name": "Data"},
+    }
+
+    def build(self, data: list[Data]) -> Data:
+        if not data:
+            return Data()
+        if len(data) == 1:
+            return data[0]
+        merged_data = Data()
+        for value in data:
+            if merged_data is None:
+                merged_data = value
+            else:
+                merged_data += value
+        self.status = merged_data
+        return merged_data
diff --git a/src/backend/base/langflow/components/helpers/ParseData.py b/src/backend/base/langflow/components/helpers/ParseData.py
new file mode 100644
index 00000000000..32482bcdb56
--- /dev/null
+++ b/src/backend/base/langflow/components/helpers/ParseData.py
@@ -0,0 +1,33 @@
+from langflow.custom import Component
+from langflow.helpers.data import data_to_text
+from langflow.io import DataInput, MultilineInput, Output, StrInput
+from langflow.schema.message import Message
+
+
+class ParseDataComponent(Component):
+    display_name = "Parse Data"
+    description = "Convert Data into plain text following a specified template."
+    icon = "braces"
+
+    inputs = [
+        DataInput(name="data", display_name="Data", info="The data to convert to text."),
+        MultilineInput(
+            name="template",
+            display_name="Template",
+            info="The template to use for formatting the data. It can contain the keys {text}, {data} or any other key in the Data.",
+            value="{text}",
+        ),
+        StrInput(name="sep", display_name="Separator", advanced=True, value="\n"),
+    ]
+
+    outputs = [
+        Output(display_name="Text", name="text", method="parse_data"),
+    ]
+
+    def parse_data(self) -> Message:
+        data = self.data if isinstance(self.data, list) else [self.data]
+        template = self.template
+
+        result_string = data_to_text(template, data, sep=self.sep)
+        self.status = result_string
+        return Message(text=result_string)
diff --git a/src/backend/base/langflow/components/helpers/SplitText.py b/src/backend/base/langflow/components/helpers/SplitText.py
new file mode 100644
index 00000000000..f3529baf3ff
--- /dev/null
+++ b/src/backend/base/langflow/components/helpers/SplitText.py
@@ -0,0 +1,70 @@
+from typing import List
+
+from langchain_text_splitters import CharacterTextSplitter
+
+from langflow.custom import Component
+from langflow.io import HandleInput, IntInput, MessageTextInput, Output
+from langflow.schema import Data
+from langflow.utils.util import unescape_string
+
+
+class SplitTextComponent(Component):
+    display_name: str = "Split Text"
+    description: str = "Split text into chunks based on specified criteria."
+    icon = "scissors-line-dashed"
+
+    inputs = [
+        HandleInput(
+            name="data_inputs",
+            display_name="Data Inputs",
+            info="The data to split.",
+            input_types=["Data"],
+            is_list=True,
+        ),
+        IntInput(
+            name="chunk_overlap",
+            display_name="Chunk Overlap",
+            info="Number of characters to overlap between chunks.",
+            value=200,
+        ),
+        IntInput(
+            name="chunk_size",
+            display_name="Chunk Size",
+            info="The maximum number of characters in each chunk.",
+            value=1000,
+        ),
+        MessageTextInput(
+            name="separator",
+            display_name="Separator",
+            info="The character to split on. Defaults to newline.",
+            value="\n",
+        ),
+    ]
+
+    outputs = [
+        Output(display_name="Chunks", name="chunks", method="split_text"),
+    ]
+
+    def _docs_to_data(self, docs):
+        data = []
+        for doc in docs:
+            data.append(Data(text=doc.page_content, data=doc.metadata))
+        return data
+
+    def split_text(self) -> List[Data]:
+        separator = unescape_string(self.separator)
+
+        documents = []
+        for _input in self.data_inputs:
+            if isinstance(_input, Data):
+                documents.append(_input.to_lc_document())
+
+        splitter = CharacterTextSplitter(
+            chunk_overlap=self.chunk_overlap,
+            chunk_size=self.chunk_size,
+            separator=separator,
+        )
+        docs = splitter.split_documents(documents)
+        data = self._docs_to_data(docs)
+        self.status = data
+        return data
diff --git a/src/backend/base/langflow/components/helpers/StoreMessage.py b/src/backend/base/langflow/components/helpers/StoreMessage.py
new file mode 100644
index 00000000000..5d0abfbb977
--- /dev/null
+++ b/src/backend/base/langflow/components/helpers/StoreMessage.py
@@ -0,0 +1,22 @@
+from langflow.custom import CustomComponent
+from langflow.memory import get_messages, store_message
+from langflow.schema.message import Message
+
+
+class StoreMessageComponent(CustomComponent):
+    display_name = "Store Message"
+    description = "Stores a chat message."
+
+    def build_config(self):
+        return {
+            "message": {"display_name": "Message"},
+        }
+
+    def build(
+        self,
+        message: Message,
+    ) -> Message:
+        store_message(message, flow_id=self.graph.flow_id)
+        self.status = get_messages()
+
+        return message
diff --git a/src/backend/base/langflow/components/helpers/__init__.py b/src/backend/base/langflow/components/helpers/__init__.py
new file mode 100644
index 00000000000..1941e38b888
--- /dev/null
+++ b/src/backend/base/langflow/components/helpers/__init__.py
@@ -0,0 +1,22 @@
+from .CombineText import CombineTextComponent
+from .CustomComponent import CustomComponent
+from .FilterData import FilterDataComponent
+from .IDGenerator import UUIDGeneratorComponent
+from .Memory import MemoryComponent
+from .MergeData import MergeDataComponent
+from .ParseData import ParseDataComponent
+from .SplitText import SplitTextComponent
+from .StoreMessage import StoreMessageComponent
+
+
+__all__ = [
+    "CombineTextComponent",
+    "CustomComponent",
+    "FilterDataComponent",
+    "UUIDGeneratorComponent",
+    "MemoryComponent",
+    "MergeDataComponent",
+    "ParseDataComponent",
+    "SplitTextComponent",
+    "StoreMessageComponent",
+]
diff --git a/src/backend/base/langflow/components/inputs/ChatInput.py b/src/backend/base/langflow/components/inputs/ChatInput.py
new file mode 100644
index 00000000000..4d42dece4f2
--- /dev/null
+++ b/src/backend/base/langflow/components/inputs/ChatInput.py
@@ -0,0 +1,63 @@
+from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES
+from langflow.base.io.chat import ChatComponent
+from langflow.io import DropdownInput, FileInput, MessageTextInput, MultilineInput, Output
+from langflow.schema.message import Message
+
+
+class ChatInput(ChatComponent):
+    display_name = "Chat Input"
+    description = "Get chat inputs from the Playground."
+    icon = "ChatInput"
+
+    inputs = [
+        MultilineInput(
+            name="input_value",
+            display_name="Text",
+            value="",
+            info="Message to be passed as input.",
+        ),
+        DropdownInput(
+            name="sender",
+            display_name="Sender Type",
+            options=["Machine", "User"],
+            value="User",
+            info="Type of sender.",
+            advanced=True,
+        ),
+        MessageTextInput(
+            name="sender_name",
+            display_name="Sender Name",
+            info="Name of the sender.",
+            value="User",
+            advanced=True,
+        ),
+        MessageTextInput(
+            name="session_id", display_name="Session ID", info="Session ID for the message.", advanced=True
+        ),
+        FileInput(
+            name="files",
+            display_name="Files",
+            file_types=TEXT_FILE_TYPES + IMG_FILE_TYPES,
+            info="Files to be sent with the message.",
+            advanced=True,
+            is_list=True,
+        ),
+    ]
+    outputs = [
+        Output(display_name="Message", name="message", method="message_response"),
+    ]
+
+    def message_response(self) -> Message:
+        message = Message(
+            text=self.input_value,
+            sender=self.sender,
+            sender_name=self.sender_name,
+            session_id=self.session_id,
+            files=self.files,
+        )
+        if self.session_id and isinstance(message, Message) and isinstance(message.text, str):
+            self.store_message(message)
+            self.message.value = message
+
+        self.status = message
+        return message
diff --git a/src/backend/base/langflow/components/inputs/TextInput.py b/src/backend/base/langflow/components/inputs/TextInput.py
new file mode 100644
index 00000000000..f05398369ed
--- /dev/null
+++ b/src/backend/base/langflow/components/inputs/TextInput.py
@@ -0,0 +1,26 @@
+from langflow.base.io.text import TextComponent
+from langflow.io import MessageTextInput, Output
+from langflow.schema.message import Message
+
+
+class TextInputComponent(TextComponent):
+    display_name = "Text Input"
+    description = "Get text inputs from the Playground."
+    icon = "type"
+
+    inputs = [
+        MessageTextInput(
+            name="input_value",
+            display_name="Text",
+            info="Text to be passed as input.",
+        ),
+    ]
+    outputs = [
+        Output(display_name="Text", name="text", method="text_response"),
+    ]
+
+    def text_response(self) -> Message:
+        message = Message(
+            text=self.input_value,
+        )
+        return message
diff --git a/src/backend/base/langflow/components/inputs/__init__.py b/src/backend/base/langflow/components/inputs/__init__.py
new file mode 100644
index 00000000000..48fc9a18991
--- /dev/null
+++ b/src/backend/base/langflow/components/inputs/__init__.py
@@ -0,0 +1,4 @@
+from .ChatInput import ChatInput
+from .TextInput import TextInputComponent
+
+__all__ = ["ChatInput", "TextInputComponent"]
diff --git a/src/backend/langflow/components/utilities/BingSearchAPIWrapper.py b/src/backend/base/langflow/components/langchain_utilities/BingSearchAPIWrapper.py
similarity index 96%
rename from src/backend/langflow/components/utilities/BingSearchAPIWrapper.py
rename to src/backend/base/langflow/components/langchain_utilities/BingSearchAPIWrapper.py
index b9dc4a2efe4..848d1098587 100644
--- a/src/backend/langflow/components/utilities/BingSearchAPIWrapper.py
+++ b/src/backend/base/langflow/components/langchain_utilities/BingSearchAPIWrapper.py
@@ -1,10 +1,10 @@
-from langflow import CustomComponent
-
 # Assuming `BingSearchAPIWrapper` is a class that exists in the context
 # and has the appropriate methods and attributes.
 # We need to make sure this class is importable from the context where this code will be running.
 from langchain_community.utilities.bing_search import BingSearchAPIWrapper
 
+from langflow.custom import CustomComponent
+
 
 class BingSearchAPIWrapperComponent(CustomComponent):
     display_name = "BingSearchAPIWrapper"
diff --git a/src/backend/langflow/components/utilities/GoogleSearchAPIWrapper.py b/src/backend/base/langflow/components/langchain_utilities/GoogleSearchAPIWrapper.py
similarity index 94%
rename from src/backend/langflow/components/utilities/GoogleSearchAPIWrapper.py
rename to src/backend/base/langflow/components/langchain_utilities/GoogleSearchAPIWrapper.py
index 1d7123dc3bb..5e45219ccde 100644
--- a/src/backend/langflow/components/utilities/GoogleSearchAPIWrapper.py
+++ b/src/backend/base/langflow/components/langchain_utilities/GoogleSearchAPIWrapper.py
@@ -1,7 +1,8 @@
 from typing import Callable, Union
 
 from langchain_community.utilities.google_search import GoogleSearchAPIWrapper
-from langflow import CustomComponent
+
+from langflow.custom import CustomComponent
 
 
 class GoogleSearchAPIWrapperComponent(CustomComponent):
diff --git a/src/backend/langflow/components/utilities/GoogleSerperAPIWrapper.py b/src/backend/base/langflow/components/langchain_utilities/GoogleSerperAPIWrapper.py
similarity index 85%
rename from src/backend/langflow/components/utilities/GoogleSerperAPIWrapper.py
rename to src/backend/base/langflow/components/langchain_utilities/GoogleSerperAPIWrapper.py
index be5efe7388b..2b9a494582c 100644
--- a/src/backend/langflow/components/utilities/GoogleSerperAPIWrapper.py
+++ b/src/backend/base/langflow/components/langchain_utilities/GoogleSerperAPIWrapper.py
@@ -3,7 +3,8 @@
 # Assuming the existence of GoogleSerperAPIWrapper class in the serper module
 # If this class does not exist, you would need to create it or import the appropriate class from another module
 from langchain_community.utilities.google_serper import GoogleSerperAPIWrapper
-from langflow import CustomComponent
+
+from langflow.custom import CustomComponent
 
 
 class GoogleSerperAPIWrapperComponent(CustomComponent):
@@ -17,20 +18,23 @@ def build_config(self) -> Dict[str, Dict]:
                 "show": True,
                 "multiline": False,
                 "password": False,
-                "name": "result_key_for_type",
                 "advanced": False,
                 "dynamic": False,
                 "info": "",
                 "field_type": "dict",
                 "list": False,
-                "value": {"news": "news", "places": "places", "images": "images", "search": "organic"},
+                "value": {
+                    "news": "news",
+                    "places": "places",
+                    "images": "images",
+                    "search": "organic",
+                },
             },
             "serper_api_key": {
                 "display_name": "Serper API Key",
                 "show": True,
                 "multiline": False,
                 "password": True,
-                "name": "serper_api_key",
                 "advanced": False,
                 "dynamic": False,
                 "info": "",
diff --git a/src/backend/langflow/components/utilities/JSONDocumentBuilder.py b/src/backend/base/langflow/components/langchain_utilities/JSONDocumentBuilder.py
similarity index 96%
rename from src/backend/langflow/components/utilities/JSONDocumentBuilder.py
rename to src/backend/base/langflow/components/langchain_utilities/JSONDocumentBuilder.py
index 33cc73d7302..c0300cff056 100644
--- a/src/backend/langflow/components/utilities/JSONDocumentBuilder.py
+++ b/src/backend/base/langflow/components/langchain_utilities/JSONDocumentBuilder.py
@@ -12,7 +12,8 @@
 # - **Document:** The Document containing the JSON object.
 
 from langchain_core.documents import Document
-from langflow import CustomComponent
+
+from langflow.custom import CustomComponent
 from langflow.services.database.models.base import orjson_dumps
 
 
@@ -20,7 +21,6 @@ class JSONDocumentBuilder(CustomComponent):
     display_name: str = "JSON Document Builder"
     description: str = "Build a Document containing a JSON object using a key and another Document page content."
     output_types: list[str] = ["Document"]
-    beta = True
     documentation: str = "https://docs.langflow.org/components/utilities#json-document-builder"
 
     field_config = {
diff --git a/src/backend/base/langflow/components/langchain_utilities/SQLDatabase.py b/src/backend/base/langflow/components/langchain_utilities/SQLDatabase.py
new file mode 100644
index 00000000000..93c46087dfd
--- /dev/null
+++ b/src/backend/base/langflow/components/langchain_utilities/SQLDatabase.py
@@ -0,0 +1,22 @@
+from langchain_experimental.sql.base import SQLDatabase
+
+from langflow.custom import CustomComponent
+
+
+class SQLDatabaseComponent(CustomComponent):
+    display_name = "SQLDatabase"
+    description = "SQL Database"
+
+    def build_config(self):
+        return {
+            "uri": {"display_name": "URI", "info": "URI to the database."},
+        }
+
+    def clean_up_uri(self, uri: str) -> str:
+        if uri.startswith("postgresql://"):
+            uri = uri.replace("postgresql://", "postgres://")
+        return uri.strip()
+
+    def build(self, uri: str) -> SQLDatabase:
+        uri = self.clean_up_uri(uri)
+        return SQLDatabase.from_uri(uri)
diff --git a/src/backend/base/langflow/components/langchain_utilities/SearchApi.py b/src/backend/base/langflow/components/langchain_utilities/SearchApi.py
new file mode 100644
index 00000000000..5dfd5525019
--- /dev/null
+++ b/src/backend/base/langflow/components/langchain_utilities/SearchApi.py
@@ -0,0 +1,53 @@
+from typing import Optional
+
+from langchain_community.utilities.searchapi import SearchApiAPIWrapper
+
+from langflow.custom import CustomComponent
+from langflow.schema import Data
+from langflow.services.database.models.base import orjson_dumps
+
+
+class SearchApi(CustomComponent):
+    display_name: str = "SearchApi"
+    description: str = "Real-time search engine results API."
+    output_types: list[str] = ["Document"]
+    documentation: str = "https://www.searchapi.io/docs/google"
+    field_config = {
+        "engine": {
+            "display_name": "Engine",
+            "field_type": "str",
+            "info": "The search engine to use.",
+        },
+        "params": {
+            "display_name": "Parameters",
+            "info": "The parameters to send with the request.",
+        },
+        "code": {"show": False},
+        "api_key": {
+            "display_name": "API Key",
+            "field_type": "str",
+            "required": True,
+            "password": True,
+            "info": "The API key to use SearchApi.",
+        },
+    }
+
+    def build(
+        self,
+        engine: str,
+        api_key: str,
+        params: Optional[dict] = None,
+    ) -> Data:
+        if params is None:
+            params = {}
+
+        search_api_wrapper = SearchApiAPIWrapper(engine=engine, searchapi_api_key=api_key)
+
+        q = params.pop("q", "SearchApi Langflow")
+        results = search_api_wrapper.results(q, **params)
+
+        result = orjson_dumps(results, indent_2=False)
+
+        record = Data(data=result)
+        self.status = record
+        return record
diff --git a/src/backend/langflow/components/utilities/SearxSearchWrapper.py b/src/backend/base/langflow/components/langchain_utilities/SearxSearchWrapper.py
similarity index 92%
rename from src/backend/langflow/components/utilities/SearxSearchWrapper.py
rename to src/backend/base/langflow/components/langchain_utilities/SearxSearchWrapper.py
index b406f38828e..4fe0706f88a 100644
--- a/src/backend/langflow/components/utilities/SearxSearchWrapper.py
+++ b/src/backend/base/langflow/components/langchain_utilities/SearxSearchWrapper.py
@@ -1,7 +1,9 @@
-from langflow import CustomComponent
-from typing import Optional, Dict
+from typing import Dict, Optional
+
 from langchain_community.utilities.searx_search import SearxSearchWrapper
 
+from langflow.custom import CustomComponent
+
 
 class SearxSearchWrapperComponent(CustomComponent):
     display_name = "SearxSearchWrapper"
diff --git a/src/backend/langflow/components/utilities/SerpAPIWrapper.py b/src/backend/base/langflow/components/langchain_utilities/SerpAPIWrapper.py
similarity index 95%
rename from src/backend/langflow/components/utilities/SerpAPIWrapper.py
rename to src/backend/base/langflow/components/langchain_utilities/SerpAPIWrapper.py
index 924f5628df0..d8aa404cb90 100644
--- a/src/backend/langflow/components/utilities/SerpAPIWrapper.py
+++ b/src/backend/base/langflow/components/langchain_utilities/SerpAPIWrapper.py
@@ -1,7 +1,8 @@
 from typing import Callable, Union
 
 from langchain_community.utilities.serpapi import SerpAPIWrapper
-from langflow import CustomComponent
+
+from langflow.custom import CustomComponent
 
 
 class SerpAPIWrapperComponent(CustomComponent):
diff --git a/src/backend/langflow/components/utilities/WikipediaAPIWrapper.py b/src/backend/base/langflow/components/langchain_utilities/WikipediaAPIWrapper.py
similarity index 95%
rename from src/backend/langflow/components/utilities/WikipediaAPIWrapper.py
rename to src/backend/base/langflow/components/langchain_utilities/WikipediaAPIWrapper.py
index 00820881b04..1c10dd4bdce 100644
--- a/src/backend/langflow/components/utilities/WikipediaAPIWrapper.py
+++ b/src/backend/base/langflow/components/langchain_utilities/WikipediaAPIWrapper.py
@@ -1,7 +1,8 @@
 from typing import Callable, Union
 
 from langchain_community.utilities.wikipedia import WikipediaAPIWrapper
-from langflow import CustomComponent
+
+from langflow.custom import CustomComponent
 
 # Assuming WikipediaAPIWrapper is a class that needs to be imported.
 # The import statement is not included as it is not provided in the JSON
diff --git a/src/backend/langflow/components/utilities/WolframAlphaAPIWrapper.py b/src/backend/base/langflow/components/langchain_utilities/WolframAlphaAPIWrapper.py
similarity index 93%
rename from src/backend/langflow/components/utilities/WolframAlphaAPIWrapper.py
rename to src/backend/base/langflow/components/langchain_utilities/WolframAlphaAPIWrapper.py
index 2e71a161c74..42be1f1995c 100644
--- a/src/backend/langflow/components/utilities/WolframAlphaAPIWrapper.py
+++ b/src/backend/base/langflow/components/langchain_utilities/WolframAlphaAPIWrapper.py
@@ -1,7 +1,8 @@
 from typing import Callable, Union
 
 from langchain_community.utilities.wolfram_alpha import WolframAlphaAPIWrapper
-from langflow import CustomComponent
+
+from langflow.custom import CustomComponent
 
 # Since all the fields in the JSON have show=False, we will only create a basic component
 # without any configurable fields.
diff --git a/src/backend/base/langflow/components/memories/AstraDBMessageReader.py b/src/backend/base/langflow/components/memories/AstraDBMessageReader.py
new file mode 100644
index 00000000000..dfb8ef86a27
--- /dev/null
+++ b/src/backend/base/langflow/components/memories/AstraDBMessageReader.py
@@ -0,0 +1,96 @@
+from typing import Optional, cast
+
+from langflow.base.memory.memory import BaseMemoryComponent
+from langflow.schema import Data
+
+
+class AstraDBMessageReaderComponent(BaseMemoryComponent):
+    display_name = "Astra DB Message Reader"
+    description = "Retrieves stored chat messages from Astra DB."
+
+    def build_config(self):
+        return {
+            "session_id": {
+                "display_name": "Session ID",
+                "info": "Session ID of the chat history.",
+                "input_types": ["Text"],
+            },
+            "collection_name": {
+                "display_name": "Collection Name",
+                "info": "Collection name for Astra DB.",
+                "input_types": ["Text"],
+            },
+            "token": {
+                "display_name": "Astra DB Application Token",
+                "info": "Token for the Astra DB instance.",
+                "password": True,
+            },
+            "api_endpoint": {
+                "display_name": "Astra DB API Endpoint",
+                "info": "API Endpoint for the Astra DB instance.",
+                "password": True,
+            },
+            "namespace": {
+                "display_name": "Namespace",
+                "info": "Namespace for the Astra DB instance.",
+                "input_types": ["Text"],
+                "advanced": True,
+            },
+        }
+
+    def get_messages(self, **kwargs) -> list[Data]:
+        """
+        Retrieves messages from the AstraDBChatMessageHistory memory.
+
+        Args:
+            memory (AstraDBChatMessageHistory): The AstraDBChatMessageHistory instance to retrieve messages from.
+
+        Returns:
+            list[Data]: A list of Data objects representing the search results.
+        """
+        try:
+            from langchain_astradb.chat_message_histories import AstraDBChatMessageHistory
+        except ImportError:
+            raise ImportError(
+                "Could not import langchain Astra DB integration package. "
+                "Please install it with `pip install langchain-astradb`."
+            )
+
+        memory: AstraDBChatMessageHistory = cast(AstraDBChatMessageHistory, kwargs.get("memory"))
+        if not memory:
+            raise ValueError("AstraDBChatMessageHistory instance is required.")
+
+        # Get messages from the memory
+        messages = memory.messages
+        results = [Data.from_lc_message(message) for message in messages]
+
+        return list(results)
+
+    def build(
+        self,
+        session_id: str,
+        collection_name: str,
+        token: str,
+        api_endpoint: str,
+        namespace: Optional[str] = None,
+    ) -> list[Data]:
+        try:
+            from langchain_astradb.chat_message_histories import AstraDBChatMessageHistory
+        except ImportError:
+            raise ImportError(
+                "Could not import langchain Astra DB integration package. "
+                "Please install it with `pip install langchain-astradb`."
+            )
+
+        memory = AstraDBChatMessageHistory(
+            session_id=session_id,
+            collection_name=collection_name,
+            token=token,
+            api_endpoint=api_endpoint,
+            namespace=namespace,
+        )
+
+        data = self.get_messages(memory=memory)
+        self.status = data
+
+        return data
diff --git a/src/backend/base/langflow/components/memories/AstraDBMessageWriter.py b/src/backend/base/langflow/components/memories/AstraDBMessageWriter.py
new file mode 100644
index 00000000000..c929aca9e55
--- /dev/null
+++ b/src/backend/base/langflow/components/memories/AstraDBMessageWriter.py
@@ -0,0 +1,126 @@
+from typing import Optional
+
+from langchain_core.messages import BaseMessage
+
+from langflow.base.memory.memory import BaseMemoryComponent
+from langflow.schema import Data
+
+
+class AstraDBMessageWriterComponent(BaseMemoryComponent):
+    display_name = "Astra DB Message Writer"
+    description = "Writes a message to Astra DB."
+
+    def build_config(self):
+        return {
+            "input_value": {
+                "display_name": "Input Data",
+                "info": "Data to write to Astra DB.",
+            },
+            "session_id": {
+                "display_name": "Session ID",
+                "info": "Session ID of the chat history.",
+                "input_types": ["Text"],
+            },
+            "collection_name": {
+                "display_name": "Collection Name",
+                "info": "Collection name for Astra DB.",
+                "input_types": ["Text"],
+            },
+            "token": {
+                "display_name": "Astra DB Application Token",
+                "info": "Token for the Astra DB instance.",
+                "password": True,
+            },
+            "api_endpoint": {
+                "display_name": "Astra DB API Endpoint",
+                "info": "API Endpoint for the Astra DB instance.",
+                "password": True,
+            },
+            "namespace": {
+                "display_name": "Namespace",
+                "info": "Namespace for the Astra DB instance.",
+                "input_types": ["Text"],
+                "advanced": True,
+            },
+        }
+
+    def add_message(
+        self,
+        sender: str,
+        sender_name: str,
+        text: str,
+        session_id: str,
+        metadata: Optional[dict] = None,
+        **kwargs,
+    ):
+        """
+        Adds a message to the AstraDBChatMessageHistory memory.
+
+        Args:
+            sender (str): The type of the message sender. Typically "ai" or "human".
+            sender_name (str): The name of the message sender.
+            text (str): The content of the message.
+            session_id (str): The session ID associated with the message.
+            metadata (dict | None, optional): Additional metadata for the message. Defaults to None.
+            **kwargs: Additional keyword arguments, including:
+                memory (AstraDBChatMessageHistory | None): The memory instance to add the message to.
+
+
+        Raises:
+            ValueError: If the AstraDBChatMessageHistory instance is not provided.
+
+        """
+        try:
+            from langchain_astradb.chat_message_histories import AstraDBChatMessageHistory
+        except ImportError:
+            raise ImportError(
+                "Could not import langchain Astra DB integration package. "
+                "Please install it with `pip install langchain-astradb`."
+            )
+
+        memory: AstraDBChatMessageHistory | None = kwargs.pop("memory", None)
+        if memory is None:
+            raise ValueError("AstraDBChatMessageHistory instance is required.")
+
+        text_list = [
+            BaseMessage(
+                content=text,
+                sender=sender,
+                sender_name=sender_name,
+                metadata=metadata,
+                session_id=session_id,
+                type=sender,
+            )
+        ]
+
+        memory.add_messages(text_list)
+
+    def build(
+        self,
+        input_value: Data,
+        session_id: str,
+        collection_name: str,
+        token: str,
+        api_endpoint: str,
+        namespace: Optional[str] = None,
+    ) -> Data:
+        try:
+            from langchain_astradb.chat_message_histories import AstraDBChatMessageHistory
+        except ImportError:
+            raise ImportError(
+                "Could not import langchain Astra DB integration package. "
+                "Please install it with `pip install langchain-astradb`."
+            )
+
+        memory = AstraDBChatMessageHistory(
+            session_id=session_id,
+            collection_name=collection_name,
+            token=token,
+            api_endpoint=api_endpoint,
+            namespace=namespace,
+        )
+
+        self.add_message(**input_value.data, memory=memory)
+        self.status = f"Added message to Astra DB memory for session {session_id}"
+
+        return input_value
diff --git a/src/backend/base/langflow/components/memories/CassandraMessageReader.py b/src/backend/base/langflow/components/memories/CassandraMessageReader.py
new file mode 100644
index 00000000000..a8bd1c36584
--- /dev/null
+++ b/src/backend/base/langflow/components/memories/CassandraMessageReader.py
@@ -0,0 +1,86 @@
+from typing import Optional, cast
+
+from langchain_community.chat_message_histories import CassandraChatMessageHistory
+
+from langflow.base.memory.memory import BaseMemoryComponent
+from langflow.schema.data import Data
+
+
+class CassandraMessageReaderComponent(BaseMemoryComponent):
+    display_name = "Cassandra Message Reader"
+    description = "Retrieves stored chat messages from a Cassandra table on Astra DB."
+
+    def build_config(self):
+        return {
+            "session_id": {
+                "display_name": "Session ID",
+                "info": "Session ID of the chat history.",
+                "input_types": ["Text"],
+            },
+            "database_id": {
+                "display_name": "Database ID",
+                "info": "The Astra database ID.",
+            },
+            "table_name": {
+                "display_name": "Table Name",
+                "info": "The name of the table where messages are stored.",
+            },
+            "token": {
+                "display_name": "Token",
+                "info": "Authentication token for accessing Cassandra on Astra DB.",
+                "password": True,
+            },
+            "keyspace": {
+                "display_name": "Keyspace",
+                "info": "Optional key space within Astra DB. The keyspace should already be created.",
+                "input_types": ["Text"],
+                "advanced": True,
+            },
+        }
+
+    def get_messages(self, **kwargs) -> list[Data]:
+        """
+        Retrieves messages from the CassandraChatMessageHistory memory.
+
+        Args:
+            memory (CassandraChatMessageHistory): The CassandraChatMessageHistory instance to retrieve messages from.
+
+        Returns:
+            list[Data]: A list of Data objects representing the search results.
+        """
+        memory: CassandraChatMessageHistory = cast(CassandraChatMessageHistory, kwargs.get("memory"))
+        if not memory:
+            raise ValueError("CassandraChatMessageHistory instance is required.")
+
+        # Get messages from the memory
+        messages = memory.messages
+        results = [Data.from_lc_message(message) for message in messages]
+
+        return list(results)
+
+    def build(
+        self,
+        session_id: str,
+        table_name: str,
+        token: str,
+        database_id: str,
+        keyspace: Optional[str] = None,
+    ) -> list[Data]:
+        try:
+            import cassio
+        except ImportError:
+            raise ImportError(
+                "Could not import cassio integration package. " "Please install it with `pip install cassio`."
+            )
+
+        cassio.init(token=token, database_id=database_id)
+        memory = CassandraChatMessageHistory(
+            session_id=session_id,
+            table_name=table_name,
+            keyspace=keyspace,
+        )
+
+        data = self.get_messages(memory=memory)
+        self.status = data
+
+        return data
diff --git a/src/backend/base/langflow/components/memories/CassandraMessageWriter.py b/src/backend/base/langflow/components/memories/CassandraMessageWriter.py
new file mode 100644
index 00000000000..15da272749a
--- /dev/null
+++ b/src/backend/base/langflow/components/memories/CassandraMessageWriter.py
@@ -0,0 +1,122 @@
+from typing import Optional
+
+from langchain_community.chat_message_histories import CassandraChatMessageHistory
+from langchain_core.messages import BaseMessage
+
+from langflow.base.memory.memory import BaseMemoryComponent
+from langflow.schema.data import Data
+
+
+class CassandraMessageWriterComponent(BaseMemoryComponent):
+    display_name = "Cassandra Message Writer"
+    description = "Writes a message to a Cassandra table on Astra DB."
+
+    def build_config(self):
+        return {
+            "input_value": {
+                "display_name": "Input Data",
+                "info": "Data to write to Cassandra.",
+            },
+            "session_id": {
+                "display_name": "Session ID",
+                "info": "Session ID of the chat history.",
+                "input_types": ["Text"],
+            },
+            "database_id": {
+                "display_name": "Database ID",
+                "info": "The Astra database ID.",
+            },
+            "table_name": {
+                "display_name": "Table Name",
+                "info": "The name of the table where messages will be stored.",
+            },
+            "token": {
+                "display_name": "Token",
+                "info": "Authentication token for accessing Cassandra on Astra DB.",
+                "password": True,
+            },
+            "keyspace": {
+                "display_name": "Keyspace",
+                "info": "Optional key space within Astra DB. The keyspace should already be created.",
+                "input_types": ["Text"],
+                "advanced": True,
+            },
+            "ttl_seconds": {
+                "display_name": "TTL Seconds",
+                "info": "Optional time-to-live for the messages.",
+                "input_types": ["Number"],
+                "advanced": True,
+            },
+        }
+
+    def add_message(
+        self,
+        sender: str,
+        sender_name: str,
+        text: str,
+        session_id: str,
+        metadata: Optional[dict] = None,
+        **kwargs,
+    ):
+        """
+        Adds a message to the CassandraChatMessageHistory memory.
+
+        Args:
+            sender (str): The type of the message sender. Typically "ai" or "human".
+            sender_name (str): The name of the message sender.
+            text (str): The content of the message.
+            session_id (str): The session ID associated with the message.
+            metadata (dict | None, optional): Additional metadata for the message. Defaults to None.
+            **kwargs: Additional keyword arguments, including:
+                memory (CassandraChatMessageHistory | None): The memory instance to add the message to.
+
+
+        Raises:
+            ValueError: If the CassandraChatMessageHistory instance is not provided.
+
+        """
+        memory: CassandraChatMessageHistory | None = kwargs.pop("memory", None)
+        if memory is None:
+            raise ValueError("CassandraChatMessageHistory instance is required.")
+
+        text_list = [
+            BaseMessage(
+                content=text,
+                sender=sender,
+                sender_name=sender_name,
+                metadata=metadata,
+                session_id=session_id,
+            )
+        ]
+
+        memory.add_messages(text_list)
+
+    def build(
+        self,
+        input_value: Data,
+        session_id: str,
+        table_name: str,
+        token: str,
+        database_id: str,
+        keyspace: Optional[str] = None,
+        ttl_seconds: Optional[int] = None,
+    ) -> Data:
+        try:
+            import cassio
+        except ImportError:
+            raise ImportError(
+                "Could not import cassio integration package. " "Please install it with `pip install cassio`."
+            )
+
+        cassio.init(token=token, database_id=database_id)
+        memory = CassandraChatMessageHistory(
+            session_id=session_id,
+            table_name=table_name,
+            keyspace=keyspace,
+            ttl_seconds=ttl_seconds,
+        )
+
+        self.add_message(**input_value.data, memory=memory)
+        self.status = f"Added message to Cassandra memory for session {session_id}"
+
+        return input_value
diff --git a/src/backend/base/langflow/components/memories/ZepMessageReader.py b/src/backend/base/langflow/components/memories/ZepMessageReader.py
new file mode 100644
index 00000000000..89a16587bce
--- /dev/null
+++ b/src/backend/base/langflow/components/memories/ZepMessageReader.py
@@ -0,0 +1,150 @@
+from typing import Optional, cast
+
+from langchain_community.chat_message_histories.zep import SearchScope, SearchType, ZepChatMessageHistory
+
+from langflow.base.memory.memory import BaseMemoryComponent
+from langflow.field_typing import Text
+from langflow.schema import Data
+
+
+class ZepMessageReaderComponent(BaseMemoryComponent):
+    display_name = "Zep Message Reader"
+    description = "Retrieves stored chat messages from Zep."
+
+    def build_config(self):
+        return {
+            "session_id": {
+                "display_name": "Session ID",
+                "info": "Session ID of the chat history.",
+                "input_types": ["Text"],
+            },
+            "url": {
+                "display_name": "Zep URL",
+                "info": "URL of the Zep instance.",
+                "input_types": ["Text"],
+            },
+            "api_key": {
+                "display_name": "Zep API Key",
+                "info": "API Key for the Zep instance.",
+                "password": True,
+            },
+            "query": {
+                "display_name": "Query",
+                "info": "Query to search for in the chat history.",
+            },
+            "metadata": {
+                "display_name": "Metadata",
+                "info": "Optional metadata to attach to the message.",
+                "advanced": True,
+            },
+            "search_scope": {
+                "options": ["Messages", "Summary"],
+                "display_name": "Search Scope",
+                "info": "Scope of the search.",
+                "advanced": True,
+            },
+            "search_type": {
+                "options": ["Similarity", "MMR"],
+                "display_name": "Search Type",
+                "info": "Type of search.",
+                "advanced": True,
+            },
+            "limit": {
+                "display_name": "Limit",
+                "info": "Limit of search results.",
+                "advanced": True,
+            },
+            "api_base_path": {
+                "display_name": "API Base Path",
+                "options": ["api/v1", "api/v2"],
+            },
+        }
+
+    def get_messages(self, **kwargs) -> list[Data]:
+        """
+        Retrieves messages from the ZepChatMessageHistory memory.
+
+        If a query is provided, the search method is used to search for messages in the memory, otherwise all messages are returned.
+
+        Args:
+            memory (ZepChatMessageHistory): The ZepChatMessageHistory instance to retrieve messages from.
+            query (str, optional): The query string to search for messages. Defaults to None.
+            metadata (dict, optional): Additional metadata to filter the search results. Defaults to None.
+            search_scope (str, optional): The scope of the search. Can be 'messages' or 'summary'. Defaults to 'messages'.
+            search_type (str, optional): The type of search. Can be 'similarity' or 'exact'. Defaults to 'similarity'.
+            limit (int, optional): The maximum number of search results to return. Defaults to None.
+
+        Returns:
+            list[Data]: A list of Data objects representing the search results.
+        """
+        memory: ZepChatMessageHistory = cast(ZepChatMessageHistory, kwargs.get("memory"))
+        if not memory:
+            raise ValueError("ZepChatMessageHistory instance is required.")
+        query = kwargs.get("query")
+        search_scope = kwargs.get("search_scope", SearchScope.messages).lower()
+        search_type = kwargs.get("search_type", SearchType.similarity).lower()
+        limit = kwargs.get("limit")
+
+        if query:
+            memory_search_results = memory.search(
+                query,
+                search_scope=search_scope,
+                search_type=search_type,
+                limit=limit,
+            )
+            # Get the messages from the search results if the search scope is messages
+            result_dicts = []
+            for result in memory_search_results:
+                result_dict = {}
+                if search_scope == SearchScope.messages:
+                    result_dict["text"] = result.message
+                else:
+                    result_dict["text"] = result.summary
+                result_dict["metadata"] = result.metadata
+                result_dict["score"] = result.score
+                result_dicts.append(result_dict)
+            results = [Data(data=result_dict) for result_dict in result_dicts]
+        else:
+            messages = memory.messages
+            results = [Data.from_lc_message(message) for message in messages]
+        return results
+
+    def build(
+        self,
+        session_id: Text,
+        api_base_path: str = "api/v1",
+        url: Optional[Text] = None,
+        api_key: Optional[Text] = None,
+        query: Optional[Text] = None,
+        search_scope: str = SearchScope.messages,
+        search_type: str = SearchType.similarity,
+        limit: Optional[int] = None,
+    ) -> list[Data]:
+        try:
+            # Monkeypatch API_BASE_PATH to
+            # avoid 404
+            # This is a workaround for the local Zep instance
+            # cloud Zep works with v2
+            import zep_python.zep_client
+            from zep_python import ZepClient
+            from zep_python.langchain import ZepChatMessageHistory
+
+            zep_python.zep_client.API_BASE_PATH = api_base_path
+        except ImportError:
+            raise ImportError(
+                "Could not import zep-python package. " "Please install it with `pip install zep-python`."
+            )
+        if url == "":
+            url = None
+
+        zep_client = ZepClient(api_url=url, api_key=api_key)
+        memory = ZepChatMessageHistory(session_id=session_id, zep_client=zep_client)
+        data = self.get_messages(
+            memory=memory,
+            query=query,
+            search_scope=search_scope,
+            search_type=search_type,
+            limit=limit,
+        )
+        self.status = data
+        return data
diff --git a/src/backend/base/langflow/components/memories/ZepMessageWriter.py b/src/backend/base/langflow/components/memories/ZepMessageWriter.py
new file mode 100644
index 00000000000..cc343488e9e
--- /dev/null
+++ b/src/backend/base/langflow/components/memories/ZepMessageWriter.py
@@ -0,0 +1,108 @@
+from typing import TYPE_CHECKING, Optional
+
+from langflow.base.memory.memory import BaseMemoryComponent
+from langflow.field_typing import Text
+from langflow.schema import Data
+
+if TYPE_CHECKING:
+    from zep_python.langchain import ZepChatMessageHistory
+
+
+class ZepMessageWriterComponent(BaseMemoryComponent):
+    display_name = "Zep Message Writer"
+    description = "Writes a message to Zep."
+
+    def build_config(self):
+        return {
+            "session_id": {
+                "display_name": "Session ID",
+                "info": "Session ID of the chat history.",
+                "input_types": ["Text"],
+            },
+            "url": {
+                "display_name": "Zep URL",
+                "info": "URL of the Zep instance.",
+                "input_types": ["Text"],
+            },
+            "api_key": {
+                "display_name": "Zep API Key",
+                "info": "API Key for the Zep instance.",
+                "password": True,
+            },
+            "limit": {
+                "display_name": "Limit",
+                "info": "Limit of search results.",
+                "advanced": True,
+            },
+            "input_value": {
+                "display_name": "Input Data",
+                "info": "Data to write to Zep.",
+            },
+            "api_base_path": {
+                "display_name": "API Base Path",
+                "options": ["api/v1", "api/v2"],
+            },
+        }
+
+    def add_message(
+        self, sender: Text, sender_name: Text, text: Text, session_id: Text, metadata: dict | None = None, **kwargs
+    ):
+        """
+        Adds a message to the ZepChatMessageHistory memory.
+
+        Args:
+            sender (Text): The type of the message sender. Valid values are "Machine" or "User".
+            sender_name (Text): The name of the message sender.
+            text (Text): The content of the message.
+            session_id (Text): The session ID associated with the message.
+            metadata (dict | None, optional): Additional metadata for the message. Defaults to None.
+            **kwargs: Additional keyword arguments.
+
+        Raises:
+            ValueError: If the ZepChatMessageHistory instance is not provided.
+
+        """
+        memory: ZepChatMessageHistory | None = kwargs.pop("memory", None)
+        if memory is None:
+            raise ValueError("ZepChatMessageHistory instance is required.")
+        if metadata is None:
+            metadata = {}
+        metadata["sender_name"] = sender_name
+        metadata.update(kwargs)
+        if sender == "Machine":
+            memory.add_ai_message(text, metadata=metadata)
+        elif sender == "User":
+            memory.add_user_message(text, metadata=metadata)
+        else:
+            raise ValueError(f"Invalid sender type: {sender}")
+
+    def build(
+        self,
+        input_value: Data,
+        session_id: Text,
+        api_base_path: str = "api/v1",
+        url: Optional[Text] = None,
+        api_key: Optional[Text] = None,
+    ) -> Data:
+        try:
+            # Monkeypatch API_BASE_PATH to
+            # avoid 404
+            # This is a workaround for the local Zep instance
+            # cloud Zep works with v2
+            import zep_python.zep_client
+            from zep_python import ZepClient
+            from zep_python.langchain import ZepChatMessageHistory
+
+            zep_python.zep_client.API_BASE_PATH = api_base_path
+        except ImportError:
+            raise ImportError(
+                "Could not import zep-python package. " "Please install it with `pip install zep-python`."
+            )
+        if url == "":
+            url = None
+
+        zep_client = ZepClient(api_url=url, api_key=api_key)
+        memory = ZepChatMessageHistory(session_id=session_id, zep_client=zep_client)
+        self.add_message(**input_value.data, memory=memory)
+        self.status = f"Added message to Zep memory for session {session_id}"
+        return input_value
diff --git a/src/backend/langflow/graph/edge/__init__.py b/src/backend/base/langflow/components/memories/__init__.py
similarity index 100%
rename from src/backend/langflow/graph/edge/__init__.py
rename to src/backend/base/langflow/components/memories/__init__.py
diff --git a/src/backend/base/langflow/components/models/AmazonBedrockModel.py b/src/backend/base/langflow/components/models/AmazonBedrockModel.py
new file mode 100644
index 00000000000..ba06c6723e1
--- /dev/null
+++ b/src/backend/base/langflow/components/models/AmazonBedrockModel.py
@@ -0,0 +1,92 @@
+from langchain_aws import ChatBedrock
+
+from langflow.base.constants import STREAM_INFO_TEXT
+from langflow.base.models.model import LCModelComponent
+from langflow.field_typing import LanguageModel
+from langflow.io import BoolInput, DictInput, DropdownInput, MessageInput, Output, StrInput
+
+
+class AmazonBedrockComponent(LCModelComponent):
+    display_name: str = "Amazon Bedrock"
+    description: str = "Generate text using Amazon Bedrock LLMs."
+    icon = "Amazon"
+
+    inputs = [
+        MessageInput(name="input_value", display_name="Input"),
+        DropdownInput(
+            name="model_id",
+            display_name="Model ID",
+            options=[
+                "amazon.titan-text-express-v1",
+                "amazon.titan-text-lite-v1",
+                "amazon.titan-text-premier-v1:0",
+                "amazon.titan-embed-text-v1",
+                "amazon.titan-embed-text-v2:0",
+                "amazon.titan-embed-image-v1",
+                "amazon.titan-image-generator-v1",
+                "anthropic.claude-v2",
+                "anthropic.claude-v2:1",
+                "anthropic.claude-3-sonnet-20240229-v1:0",
+                "anthropic.claude-3-haiku-20240307-v1:0",
+                "anthropic.claude-3-opus-20240229-v1:0",
+                "anthropic.claude-instant-v1",
+                "ai21.j2-mid-v1",
+                "ai21.j2-ultra-v1",
+                "cohere.command-text-v14",
+                "cohere.command-light-text-v14",
+                "cohere.command-r-v1:0",
+                "cohere.command-r-plus-v1:0",
+                "cohere.embed-english-v3",
+                "cohere.embed-multilingual-v3",
+                "meta.llama2-13b-chat-v1",
+                "meta.llama2-70b-chat-v1",
+                "meta.llama3-8b-instruct-v1:0",
+                "meta.llama3-70b-instruct-v1:0",
+                "mistral.mistral-7b-instruct-v0:2",
+                "mistral.mixtral-8x7b-instruct-v0:1",
+                "mistral.mistral-large-2402-v1:0",
+                "mistral.mistral-small-2402-v1:0",
+                "stability.stable-diffusion-xl-v0",
+                "stability.stable-diffusion-xl-v1",
+            ],
+            value="anthropic.claude-3-haiku-20240307-v1:0",
+        ),
+        StrInput(name="credentials_profile_name", display_name="Credentials Profile Name"),
+        StrInput(name="region_name", display_name="Region Name"),
+        DictInput(name="model_kwargs", display_name="Model Kwargs", advanced=True),
+        StrInput(name="endpoint_url", display_name="Endpoint URL"),
+        BoolInput(name="cache", display_name="Cache"),
+        StrInput(
+            name="system_message",
+            display_name="System Message",
+            info="System message to pass to the model.",
+            advanced=True,
+        ),
+        BoolInput(name="stream", display_name="Stream", info=STREAM_INFO_TEXT, advanced=True),
+    ]
+    outputs = [
+        Output(display_name="Text", name="text_output", method="text_response"),
+        Output(display_name="Language Model", name="model_output", method="build_model"),
+    ]
+
+    def build_model(self) -> LanguageModel:
+        model_id = self.model_id
+        credentials_profile_name = self.credentials_profile_name
+        region_name = self.region_name
+        model_kwargs = self.model_kwargs
+        endpoint_url = self.endpoint_url
+        cache = self.cache
+        stream = self.stream
+        try:
+            output = ChatBedrock(  # type: ignore
+                credentials_profile_name=credentials_profile_name,
+                model_id=model_id,
+                region_name=region_name,
+                model_kwargs=model_kwargs,
+                endpoint_url=endpoint_url,
+                streaming=stream,
+                cache=cache,
+            )
+        except Exception as e:
+            raise ValueError("Could not connect to AmazonBedrock API.") from e
+        return output
diff --git a/src/backend/base/langflow/components/models/AnthropicModel.py b/src/backend/base/langflow/components/models/AnthropicModel.py
new file mode 100644
index 00000000000..4a750b64560
--- /dev/null
+++ b/src/backend/base/langflow/components/models/AnthropicModel.py
@@ -0,0 +1,106 @@
+from langchain_anthropic.chat_models import ChatAnthropic
+from pydantic.v1 import SecretStr
+
+from langflow.base.constants import STREAM_INFO_TEXT
+from langflow.base.models.model import LCModelComponent
+from langflow.field_typing import LanguageModel
+from langflow.io import BoolInput, DropdownInput, FloatInput, IntInput, MessageTextInput, Output, SecretStrInput
+
+
+class AnthropicModelComponent(LCModelComponent):
+    display_name = "Anthropic"
+    description = "Generate text using Anthropic Chat&Completion LLMs with prefill support."
+    icon = "Anthropic"
+
+    inputs = [
+        MessageTextInput(name="input_value", display_name="Input"),
+        IntInput(
+            name="max_tokens",
+            display_name="Max Tokens",
+            advanced=True,
+            value=4096,
+            info="The maximum number of tokens to generate. Set to 0 for unlimited tokens.",
+        ),
+        DropdownInput(
+            name="model",
+            display_name="Model Name",
+            options=[
+                "claude-3-5-sonnet-20240620",
+                "claude-3-opus-20240229",
+                "claude-3-sonnet-20240229",
+                "claude-3-haiku-20240307",
+            ],
+            info="https://python.langchain.com/docs/integrations/chat/anthropic",
+            value="claude-3-5-sonnet-20240620",
+        ),
+        SecretStrInput(
+            name="anthropic_api_key",
+            display_name="Anthropic API Key",
+            info="Your Anthropic API key.",
+        ),
+        FloatInput(name="temperature", display_name="Temperature", value=0.1),
+        MessageTextInput(
+            name="anthropic_api_url",
+            display_name="Anthropic API URL",
+            advanced=True,
+            info="Endpoint of the Anthropic API. Defaults to 'https://api.anthropic.com' if not specified.",
+        ),
+        BoolInput(name="stream", display_name="Stream", info=STREAM_INFO_TEXT, advanced=True, value=False),
+        MessageTextInput(
+            name="system_message",
+            display_name="System Message",
+            info="System message to pass to the model.",
+            advanced=True,
+        ),
+        MessageTextInput(
+            name="prefill",
+            display_name="Prefill",
+            info="Prefill text to guide the model's response.",
+            advanced=True,
+        ),
+    ]
+    outputs = [
+        Output(display_name="Text", name="text_output", method="text_response"),
+        Output(display_name="Language Model", name="model_output", method="build_model"),
+    ]
+
+    def build_model(self) -> LanguageModel:
+        model = self.model
+        anthropic_api_key = self.anthropic_api_key
+        max_tokens = self.max_tokens
+        temperature = self.temperature
+        anthropic_api_url = self.anthropic_api_url or "https://api.anthropic.com"
+
+        try:
+            output = ChatAnthropic(
+                model=model,
+                anthropic_api_key=(SecretStr(anthropic_api_key) if anthropic_api_key else None),
+                max_tokens_to_sample=max_tokens,  # type: ignore
+                temperature=temperature,
+                anthropic_api_url=anthropic_api_url,
+                streaming=self.stream,
+            )
+        except Exception as e:
+            raise ValueError("Could not connect to Anthropic API.") from e
+
+        return output
+
+    def _get_exception_message(self, exception: Exception) -> str | None:
+        """
+        Get a message from an Anthropic exception.
+
+        Args:
+            exception (Exception): The exception to get the message from.
+
+        Returns:
+            str: The message from the exception.
+        """
+        try:
+            from anthropic import BadRequestError
+        except ImportError:
+            return None
+        if isinstance(exception, BadRequestError):
+            message = exception.body.get("error", {}).get("message")  # type: ignore
+            if message:
+                return message
+        return None
diff --git a/src/backend/base/langflow/components/models/AzureOpenAIModel.py b/src/backend/base/langflow/components/models/AzureOpenAIModel.py
new file mode 100644
index 00000000000..9a2ebbbe029
--- /dev/null
+++ b/src/backend/base/langflow/components/models/AzureOpenAIModel.py
@@ -0,0 +1,110 @@
+from langchain_openai import AzureChatOpenAI
+from pydantic.v1 import SecretStr
+
+from langflow.base.constants import STREAM_INFO_TEXT
+from langflow.base.models.model import LCModelComponent
+from langflow.field_typing import LanguageModel
+from langflow.io import BoolInput, DropdownInput, FloatInput, IntInput, MessageInput, Output, SecretStrInput, StrInput
+
+
+class AzureChatOpenAIComponent(LCModelComponent):
+    display_name: str = "Azure OpenAI"
+    description: str = "Generate text using Azure OpenAI LLMs."
+    documentation: str = "https://python.langchain.com/docs/integrations/llms/azure_openai"
+    beta = False
+    icon = "Azure"
+
+    AZURE_OPENAI_MODELS = [
+        "gpt-35-turbo",
+        "gpt-35-turbo-16k",
+        "gpt-35-turbo-instruct",
+        "gpt-4",
+        "gpt-4-32k",
+        "gpt-4o",
+        "gpt-4-turbo",
+    ]
+
+    AZURE_OPENAI_API_VERSIONS = [
+        "2023-03-15-preview",
+        "2023-05-15",
+        "2023-06-01-preview",
+        "2023-07-01-preview",
+        "2023-08-01-preview",
+        "2023-09-01-preview",
+        "2023-12-01-preview",
+        "2024-04-09",
+        "2024-05-13",
+    ]
+
+    inputs = [
+        DropdownInput(
+            name="model",
+            display_name="Model Name",
+            options=AZURE_OPENAI_MODELS,
+            value=AZURE_OPENAI_MODELS[0],
+        ),
+        StrInput(
+            name="azure_endpoint",
+            display_name="Azure Endpoint",
+            info="Your Azure endpoint, including the resource. Example: `https://example-resource.azure.openai.com/`",
+        ),
+        StrInput(name="azure_deployment", display_name="Deployment Name"),
+        DropdownInput(
+            name="api_version",
+            display_name="API Version",
+            options=AZURE_OPENAI_API_VERSIONS,
+            value=AZURE_OPENAI_API_VERSIONS[-1],
+            advanced=True,
+        ),
+        SecretStrInput(name="api_key", display_name="API Key", password=True),
+        FloatInput(name="temperature", display_name="Temperature", value=0.7),
+        IntInput(
+            name="max_tokens",
+            display_name="Max Tokens",
+            advanced=True,
+            info="The maximum number of tokens to generate. Set to 0 for unlimited tokens.",
+        ),
+        MessageInput(name="input_value", display_name="Input"),
+        BoolInput(name="stream", display_name="Stream", info=STREAM_INFO_TEXT, advanced=True),
+        StrInput(
+            name="system_message",
+            display_name="System Message",
+            advanced=True,
+            info="System message to pass to the model.",
+        ),
+    ]
+    outputs = [
+        Output(display_name="Text", name="text_output", method="text_response"),
+        Output(display_name="Language Model", name="model_output", method="model_response"),
+    ]
+
+    def model_response(self) -> LanguageModel:
+        model = self.model
+        azure_endpoint = self.azure_endpoint
+        azure_deployment = self.azure_deployment
+        api_version = self.api_version
+        api_key = self.api_key
+        temperature = self.temperature
+        max_tokens = self.max_tokens
+        stream = self.stream
+
+        if api_key:
+            secret_api_key = SecretStr(api_key)
+        else:
+            secret_api_key = None
+
+        try:
+            output = AzureChatOpenAI(
+                model=model,
+                azure_endpoint=azure_endpoint,
+                azure_deployment=azure_deployment,
+                api_version=api_version,
+                api_key=secret_api_key,
+                temperature=temperature,
+                max_tokens=max_tokens or None,
+                streaming=stream,
+            )
+        except Exception as e:
+            raise ValueError("Could not connect to AzureOpenAI API.") from e
+
+        return output
diff --git a/src/backend/base/langflow/components/models/BaiduQianfanChatModel.py b/src/backend/base/langflow/components/models/BaiduQianfanChatModel.py
new file mode 100644
index 00000000000..c8c9d38a957
--- /dev/null
+++ b/src/backend/base/langflow/components/models/BaiduQianfanChatModel.py
@@ -0,0 +1,114 @@
+from langchain_community.chat_models.baidu_qianfan_endpoint import QianfanChatEndpoint
+from pydantic.v1 import SecretStr
+
+from langflow.base.constants import STREAM_INFO_TEXT
+from langflow.base.models.model import LCModelComponent
+from langflow.field_typing.constants import LanguageModel
+from langflow.io import BoolInput, DropdownInput, FloatInput, MessageTextInput, Output, SecretStrInput
+
+
+class QianfanChatEndpointComponent(LCModelComponent):
+    display_name: str = "Qianfan"
+    description: str = "Generate text using Baidu Qianfan LLMs."
+    documentation: str = "https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint"
+    icon = "BaiduQianfan"
+
+    inputs = [
+        MessageTextInput(
+            name="input_value",
+            display_name="Input",
+        ),
+        DropdownInput(
+            name="model",
+            display_name="Model Name",
+            options=[
+                "ERNIE-Bot",
+                "ERNIE-Bot-turbo",
+                "BLOOMZ-7B",
+                "Llama-2-7b-chat",
+                "Llama-2-13b-chat",
+                "Llama-2-70b-chat",
+                "Qianfan-BLOOMZ-7B-compressed",
+                "Qianfan-Chinese-Llama-2-7B",
+                "ChatGLM2-6B-32K",
+                "AquilaChat-7B",
+            ],
+            info="https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint",
+            value="ERNIE-Bot-turbo",
+        ),
+        SecretStrInput(
+            name="qianfan_ak",
+            display_name="Qianfan Ak",
+            info="which you could get from  https://cloud.baidu.com/product/wenxinworkshop",
+        ),
+        SecretStrInput(
+            name="qianfan_sk",
+            display_name="Qianfan Sk",
+            info="which you could get from  https://cloud.baidu.com/product/wenxinworkshop",
+        ),
+        FloatInput(
+            name="top_p",
+            display_name="Top p",
+            info="Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo",
+            value=0.8,
+            advanced=True,
+        ),
+        FloatInput(
+            name="temperature",
+            display_name="Temperature",
+            info="Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo",
+            value=0.95,
+        ),
+        FloatInput(
+            name="penalty_score",
+            display_name="Penalty Score",
+            info="Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo",
+            value=1.0,
+            advanced=True,
+        ),
+        MessageTextInput(
+            name="endpoint",
+            display_name="Endpoint",
+            info="Endpoint of the Qianfan LLM, required if custom model used.",
+        ),
+        BoolInput(
+            name="stream",
+            display_name="Stream",
+            info=STREAM_INFO_TEXT,
+            advanced=True,
+        ),
+        MessageTextInput(
+            name="system_message",
+            display_name="System Message",
+            info="System message to pass to the model.",
+            advanced=True,
+        ),
+    ]
+    outputs = [
+        Output(display_name="Text", name="text_output", method="text_response"),
+        Output(display_name="Language Model", name="model_output", method="build_model"),
+    ]
+
+    def build_model(self) -> LanguageModel:  # type: ignore[type-var]
+        model = self.model
+        qianfan_ak = self.qianfan_ak
+        qianfan_sk = self.qianfan_sk
+        top_p = self.top_p
+        temperature = self.temperature
+        penalty_score = self.penalty_score
+        endpoint = self.endpoint
+
+        try:
+            output = QianfanChatEndpoint(  # type: ignore
+                model=model,
+                qianfan_ak=SecretStr(qianfan_ak) if qianfan_ak else None,
+                qianfan_sk=SecretStr(qianfan_sk) if qianfan_sk else None,
+                top_p=top_p,
+                temperature=temperature,
+                penalty_score=penalty_score,
+                endpoint=endpoint,
+            )
+        except Exception as e:
+            raise ValueError("Could not connect to Baidu Qianfan API.") from e
+
+        return output  # type: ignore
diff --git a/src/backend/base/langflow/components/models/CohereModel.py b/src/backend/base/langflow/components/models/CohereModel.py
new file mode 100644
index 00000000000..305f8b4c20d
--- /dev/null
+++ b/src/backend/base/langflow/components/models/CohereModel.py
@@ -0,0 +1,54 @@
+from langchain_cohere import ChatCohere
+from langchain_core.language_models.chat_models import BaseChatModel
+from pydantic.v1 import SecretStr
+
+from langflow.base.constants import STREAM_INFO_TEXT
+from langflow.base.models.model import LCModelComponent
+from langflow.field_typing import LanguageModel
+from langflow.io import BoolInput, FloatInput, MessageInput, Output, SecretStrInput, StrInput
+
+
+class CohereComponent(LCModelComponent):
+    display_name = "Cohere"
+    description = "Generate text using Cohere LLMs."
+    documentation = "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/cohere"
+    icon = "Cohere"
+
+    inputs = [
+        SecretStrInput(
+            name="cohere_api_key",
+            display_name="Cohere API Key",
+            info="The Cohere API Key to use for the Cohere model.",
+            advanced=False,
+            value="COHERE_API_KEY",
+        ),
+        FloatInput(name="temperature", display_name="Temperature", value=0.75),
+        MessageInput(name="input_value", display_name="Input"),
+        BoolInput(name="stream", display_name="Stream", info=STREAM_INFO_TEXT, advanced=True),
+        StrInput(
+            name="system_message",
+            display_name="System Message",
+            info="System message to pass to the model.",
+            advanced=True,
+        ),
+    ]
+    outputs = [
+        Output(display_name="Text", name="text_output", method="text_response"),
+        Output(display_name="Language Model", name="model_output", method="build_model"),
+    ]
+
+    def build_model(self) -> LanguageModel | BaseChatModel:
+        cohere_api_key = self.cohere_api_key
+        temperature = self.temperature
+
+        if cohere_api_key:
+            api_key = SecretStr(cohere_api_key)
+        else:
+            api_key = None
+
+        output = ChatCohere(
+            temperature=temperature or 0.75,
+            cohere_api_key=api_key,
+        )
+
+        return output
diff --git a/src/backend/base/langflow/components/models/GoogleGenerativeAIModel.py b/src/backend/base/langflow/components/models/GoogleGenerativeAIModel.py
new file mode 100644
index 00000000000..377e307a913
--- /dev/null
+++ b/src/backend/base/langflow/components/models/GoogleGenerativeAIModel.py
@@ -0,0 +1,100 @@
+from pydantic.v1 import SecretStr
+
+from langflow.base.constants import STREAM_INFO_TEXT
+from langflow.base.models.model import LCModelComponent
+from langflow.field_typing import LanguageModel
+from langflow.io import BoolInput, DropdownInput, FloatInput, IntInput, MessageInput, Output, SecretStrInput, StrInput
+
+
+class GoogleGenerativeAIComponent(LCModelComponent):
+    display_name: str = "Google Generative AI"
+    description: str = "Generate text using Google Generative AI."
+    icon = "GoogleGenerativeAI"
+
+    inputs = [
+        SecretStrInput(
+            name="google_api_key",
+            display_name="Google API Key",
+            info="The Google API Key to use for the Google Generative AI.",
+        ),
+        DropdownInput(
+            name="model",
+            display_name="Model",
+            info="The name of the model to use.",
+            options=["gemini-1.5-pro", "gemini-1.5-flash"],
+            value="gemini-1.5-pro",
+        ),
+        IntInput(
+            name="max_output_tokens",
+            display_name="Max Output Tokens",
+            info="The maximum number of tokens to generate.",
+            advanced=True,
+        ),
+        FloatInput(
+            name="temperature",
+            display_name="Temperature",
+            info="Run inference with this temperature. Must by in the closed interval [0.0, 1.0].",
+            value=0.1,
+        ),
+        IntInput(
+            name="top_k",
+            display_name="Top K",
+            info="Decode using top-k sampling: consider the set of top_k most probable tokens. Must be positive.",
+            advanced=True,
+        ),
+        FloatInput(
+            name="top_p",
+            display_name="Top P",
+            info="The maximum cumulative probability of tokens to consider when sampling.",
+            advanced=True,
+        ),
+        IntInput(
+            name="n",
+            display_name="N",
+            info="Number of chat completions to generate for each prompt. Note that the API may not return the full n completions if duplicates are generated.",
+            advanced=True,
+        ),
+        MessageInput(
+            name="input_value",
+            display_name="Input",
+            info="The input to the model.",
+            input_types=["Text", "Data", "Prompt"],
+        ),
+        BoolInput(name="stream", display_name="Stream", info=STREAM_INFO_TEXT, advanced=True),
+        StrInput(
+            name="system_message",
+            display_name="System Message",
+            info="System message to pass to the model.",
+            advanced=True,
+        ),
+    ]
+    outputs = [
+        Output(display_name="Text", name="text_output", method="text_response"),
+        Output(display_name="Language Model", name="model_output", method="build_model"),
+    ]
+
+    def build_model(self) -> LanguageModel:
+        try:
+            from langchain_google_genai import ChatGoogleGenerativeAI
+        except ImportError:
+            raise ImportError("The 'langchain_google_genai' package is required to use the Google Generative AI model.")
+
+        google_api_key = self.google_api_key
+        model = self.model
+        max_output_tokens = self.max_output_tokens
+        temperature = self.temperature
+        top_k = self.top_k
+        top_p = self.top_p
+        n = self.n
+
+        output = ChatGoogleGenerativeAI(  # type: ignore
+            model=model,
+            max_output_tokens=max_output_tokens or None,
+            temperature=temperature,
+            top_k=top_k or None,
+            top_p=top_p or None,
+            n=n or 1,
+            google_api_key=SecretStr(google_api_key),
+        )
+
+        return output
diff --git a/src/backend/base/langflow/components/models/GroqModel.py b/src/backend/base/langflow/components/models/GroqModel.py
new file mode 100644
index 00000000000..a4784354f4e
--- /dev/null
+++ b/src/backend/base/langflow/components/models/GroqModel.py
@@ -0,0 +1,90 @@
+from langchain_groq import ChatGroq
+from pydantic.v1 import SecretStr
+
+from langflow.base.constants import STREAM_INFO_TEXT
+from langflow.base.models.groq_constants import MODEL_NAMES
+from langflow.base.models.model import LCModelComponent
+from langflow.field_typing import LanguageModel
+from langflow.io import BoolInput, DropdownInput, FloatInput, IntInput, MessageTextInput, SecretStrInput
+
+
+class GroqModel(LCModelComponent):
+    display_name: str = "Groq"
+    description: str = "Generate text using Groq."
+    icon = "Groq"
+
+    inputs = [
+        SecretStrInput(
+            name="groq_api_key",
+            display_name="Groq API Key",
+            info="API key for the Groq API.",
+        ),
+        MessageTextInput(
+            name="groq_api_base",
+            display_name="Groq API Base",
+            info="Base URL path for API requests, leave blank if not using a proxy or service emulator.",
+            advanced=True,
+        ),
+        IntInput(
+            name="max_tokens",
+            display_name="Max Output Tokens",
+            info="The maximum number of tokens to generate.",
+            advanced=True,
+        ),
+        FloatInput(
+            name="temperature",
+            display_name="Temperature",
+            info="Run inference with this temperature. Must by in the closed interval [0.0, 1.0].",
+            value=0.1,
+        ),
+        IntInput(
+            name="n",
+            display_name="N",
+            info="Number of chat completions to generate for each prompt. Note that the API may not return the full n completions if duplicates are generated.",
+            advanced=True,
+        ),
+        DropdownInput(
+            name="model_name",
+            display_name="Model",
+            info="The name of the model to use.",
+            options=MODEL_NAMES,
+        ),
+        MessageTextInput(
+            name="input_value",
+            display_name="Input",
+            info="The input to the model.",
+        ),
+        BoolInput(
+            name="stream",
+            display_name="Stream",
+            info=STREAM_INFO_TEXT,
+            advanced=True,
+        ),
+        MessageTextInput(
+            name="system_message",
+            display_name="System Message",
+            info="System message to pass to the model.",
+            advanced=True,
+        ),
+    ]
+
+    def build_model(self) -> LanguageModel:
+        groq_api_key = self.groq_api_key
+        model_name = self.model_name
+        max_tokens = self.max_tokens
+        temperature = self.temperature
+        groq_api_base = self.groq_api_base
+        n = self.n
+        stream = self.stream
+
+        output = ChatGroq(
+            model=model_name,
+            max_tokens=max_tokens or None,
+            temperature=temperature,
+            base_url=groq_api_base,
+            n=n or 1,
+            api_key=SecretStr(groq_api_key),
+            streaming=stream,
+        )
+
+        return output
diff --git a/src/backend/base/langflow/components/models/HuggingFaceModel.py b/src/backend/base/langflow/components/models/HuggingFaceModel.py
new file mode 100644
index 00000000000..021f15793fe
--- /dev/null
+++ b/src/backend/base/langflow/components/models/HuggingFaceModel.py
@@ -0,0 +1,56 @@
+from langchain_community.chat_models.huggingface import ChatHuggingFace
+from langchain_community.llms.huggingface_endpoint import HuggingFaceEndpoint
+
+from langflow.base.constants import STREAM_INFO_TEXT
+from langflow.base.models.model import LCModelComponent
+from langflow.field_typing import LanguageModel
+from langflow.io import BoolInput, DictInput, DropdownInput, MessageInput, Output, SecretStrInput, StrInput
+
+
+class HuggingFaceEndpointsComponent(LCModelComponent):
+    display_name: str = "Hugging Face API"
+    description: str = "Generate text using Hugging Face Inference APIs."
+    icon = "HuggingFace"
+
+    inputs = [
+        MessageInput(name="input_value", display_name="Input"),
+        SecretStrInput(name="endpoint_url", display_name="Endpoint URL", password=True),
+        DropdownInput(
+            name="task",
+            display_name="Task",
+            options=["text2text-generation", "text-generation", "summarization"],
+        ),
+        SecretStrInput(name="huggingfacehub_api_token", display_name="API token", password=True),
+        DictInput(name="model_kwargs", display_name="Model Keyword Arguments", advanced=True),
+        BoolInput(name="stream", display_name="Stream", info=STREAM_INFO_TEXT, advanced=True),
+        StrInput(
+            name="system_message",
+            display_name="System Message",
+            info="System message to pass to the model.",
+            advanced=True,
+        ),
+    ]
+
+    outputs = [
+        Output(display_name="Text", name="text_output", method="text_response"),
+        Output(display_name="Language Model", name="model_output", method="build_model"),
+    ]
+
+    def build_model(self) -> LanguageModel:
+        endpoint_url = self.endpoint_url
+        task = self.task
+        huggingfacehub_api_token = self.huggingfacehub_api_token
+        model_kwargs = self.model_kwargs or {}
+
+        try:
+            llm = HuggingFaceEndpoint(  # type: ignore
+                endpoint_url=endpoint_url,
+                task=task,
+                huggingfacehub_api_token=huggingfacehub_api_token,
+                model_kwargs=model_kwargs,
+            )
+        except Exception as e:
+            raise ValueError("Could not connect to HuggingFace Endpoints API.") from e
+
+        output = ChatHuggingFace(llm=llm)
+        return output
diff --git a/src/backend/base/langflow/components/models/MistralModel.py b/src/backend/base/langflow/components/models/MistralModel.py
new file mode 100644
index 00000000000..cf20de5a0d6
--- /dev/null
+++ b/src/backend/base/langflow/components/models/MistralModel.py
@@ -0,0 +1,105 @@
+from langchain_mistralai import ChatMistralAI
+from pydantic.v1 import SecretStr
+
+from langflow.base.constants import STREAM_INFO_TEXT
+from langflow.base.models.model import LCModelComponent
+from langflow.field_typing import LanguageModel
+from langflow.io import BoolInput, DropdownInput, FloatInput, IntInput, MessageInput, Output, SecretStrInput, StrInput
+
+
+class MistralAIModelComponent(LCModelComponent):
+    display_name = "MistralAI"
+    description = "Generates text using MistralAI LLMs."
+    icon = "MistralAI"
+
+    inputs = [
+        MessageInput(name="input_value", display_name="Input"),
+        IntInput(
+            name="max_tokens",
+            display_name="Max Tokens",
+            advanced=True,
+            info="The maximum number of tokens to generate. Set to 0 for unlimited tokens.",
+        ),
+        DropdownInput(
+            name="model_name",
+            display_name="Model Name",
+            advanced=False,
+            options=[
+                "open-mixtral-8x7b",
+                "open-mixtral-8x22b",
+                "mistral-small-latest",
+                "mistral-medium-latest",
+                "mistral-large-latest",
+                "codestral-latest",
+            ],
+            value="codestral-latest",
+        ),
+        StrInput(
+            name="mistral_api_base",
+            display_name="Mistral API Base",
+            advanced=True,
+            info=(
+                "The base URL of the Mistral API. Defaults to https://api.mistral.ai/v1. "
+                "You can change this to use other APIs like JinaChat, LocalAI and Prem."
+            ),
+        ),
+        SecretStrInput(
+            name="mistral_api_key",
+            display_name="Mistral API Key",
+            info="The Mistral API Key to use for the Mistral model.",
+            advanced=False,
+        ),
+        FloatInput(name="temperature", display_name="Temperature", advanced=False, value=0.5),
+        BoolInput(name="stream", display_name="Stream", info=STREAM_INFO_TEXT, advanced=True),
+        StrInput(
+            name="system_message",
+            display_name="System Message",
+            info="System message to pass to the model.",
+            advanced=True,
+        ),
+        IntInput(name="max_retries", display_name="Max Retries", advanced=True, value=5),
+        IntInput(name="timeout", display_name="Timeout", advanced=True, value=60),
+        IntInput(name="max_concurrent_requests", display_name="Max Concurrent Requests", advanced=True, value=3),
+        FloatInput(name="top_p", display_name="Top P", advanced=True, value=1),
+        IntInput(name="random_seed", display_name="Random Seed", value=1, advanced=True),
+        BoolInput(name="safe_mode", display_name="Safe Mode", advanced=True),
+    ]
+
+    outputs = [
+        Output(display_name="Text", name="text_output", method="text_response"),
+        Output(display_name="Language Model", name="model_output", method="build_model"),
+    ]
+
+    def build_model(self) -> LanguageModel:
+        mistral_api_key = self.mistral_api_key
+        temperature = self.temperature
+        model_name = self.model_name
+        max_tokens = self.max_tokens
+        mistral_api_base = self.mistral_api_base or "https://api.mistral.ai/v1"
+        max_retries = self.max_retries
+        timeout = self.timeout
+        max_concurrent_requests = self.max_concurrent_requests
+        top_p = self.top_p
+        random_seed = self.random_seed
+        safe_mode = self.safe_mode
+
+        if mistral_api_key:
+            api_key = SecretStr(mistral_api_key)
+        else:
+            api_key = None
+
+        output = ChatMistralAI(
+            max_tokens=max_tokens or None,
+            model_name=model_name,
+            endpoint=mistral_api_base,
+            api_key=api_key,
+            temperature=temperature,
+            max_retries=max_retries,
+            timeout=timeout,
+            max_concurrent_requests=max_concurrent_requests,
+            top_p=top_p,
+            random_seed=random_seed,
+            safe_mode=safe_mode,
+        )
+
+        return output
diff --git a/src/backend/base/langflow/components/models/OllamaModel.py b/src/backend/base/langflow/components/models/OllamaModel.py
new file mode 100644
index 00000000000..71a62cd68d3
--- /dev/null
+++ b/src/backend/base/langflow/components/models/OllamaModel.py
@@ -0,0 +1,275 @@
+from typing import Any
+
+import httpx
+from langchain_community.chat_models import ChatOllama
+
+from langflow.base.constants import STREAM_INFO_TEXT
+from langflow.base.models.model import LCModelComponent
+from langflow.field_typing import LanguageModel
+from langflow.io import BoolInput, DictInput, DropdownInput, FloatInput, IntInput, MessageInput, Output, StrInput
+
+
+class ChatOllamaComponent(LCModelComponent):
+    display_name = "Ollama"
+    description = "Generate text using Ollama Local LLMs."
+    icon = "Ollama"
+
+    def update_build_config(self, build_config: dict, field_value: Any, field_name: str | None = None):
+        if field_name == "mirostat":
+            if field_value == "Disabled":
+                build_config["mirostat_eta"]["advanced"] = True
+                build_config["mirostat_tau"]["advanced"] = True
+                build_config["mirostat_eta"]["value"] = None
+                build_config["mirostat_tau"]["value"] = None
+
+            else:
+                build_config["mirostat_eta"]["advanced"] = False
+                build_config["mirostat_tau"]["advanced"] = False
+
+                if field_value == "Mirostat 2.0":
+                    build_config["mirostat_eta"]["value"] = 0.2
+                    build_config["mirostat_tau"]["value"] = 10
+                else:
+                    build_config["mirostat_eta"]["value"] = 0.1
+                    build_config["mirostat_tau"]["value"] = 5
+
+        if field_name == "model":
+            base_url_dict = build_config.get("base_url", {})
+            base_url_load_from_db = base_url_dict.get("load_from_db", False)
+            base_url_value = base_url_dict.get("value")
+            if base_url_load_from_db:
+                base_url_value = self.variables(base_url_value)
+            elif not base_url_value:
+                base_url_value = "http://localhost:11434"
+            build_config["model"]["options"] = self.get_model(base_url_value + "/api/tags")
+
+        if field_name == "keep_alive_flag":
+            if field_value == "Keep":
+                build_config["keep_alive"]["value"] = "-1"
+                build_config["keep_alive"]["advanced"] = True
+            elif field_value == "Immediately":
+                build_config["keep_alive"]["value"] = "0"
+                build_config["keep_alive"]["advanced"] = True
+            else:
+                build_config["keep_alive"]["advanced"] = False
+
+        return build_config
+
+    def get_model(self, url: str) -> list[str]:
+        try:
+            with httpx.Client() as client:
+                response = client.get(url)
+                response.raise_for_status()
+                data = response.json()
+
+                model_names = [model["name"] for model in data.get("models", [])]
+                return model_names
+        except Exception as e:
+            raise ValueError("Could not retrieve models. Please, make sure Ollama is running.") from e
+
+    inputs = [
+        StrInput(
+            name="base_url",
+            display_name="Base URL",
+            info="Endpoint of the Ollama API. Defaults to 'http://localhost:11434' if not specified.",
+            value="http://localhost:11434",
+        ),
+        DropdownInput(
+            name="model",
+            display_name="Model Name",
+            value="llama2",
+            info="Refer to https://ollama.ai/library for more models.",
+            refresh_button=True,
+        ),
+        FloatInput(
+            name="temperature",
+            display_name="Temperature",
+            value=0.2,
+            info="Controls the creativity of model responses.",
+        ),
+        StrInput(
+            name="format",
+            display_name="Format",
+            info="Specify the format of the output (e.g., json).",
+            advanced=True,
+        ),
+        DictInput(
+            name="metadata",
+            display_name="Metadata",
+            info="Metadata to add to the run trace.",
+            advanced=True,
+        ),
+        DropdownInput(
+            name="mirostat",
+            display_name="Mirostat",
+            options=["Disabled", "Mirostat", "Mirostat 2.0"],
+            info="Enable/disable Mirostat sampling for controlling perplexity.",
+            value="Disabled",
+            advanced=True,
+        ),
+        FloatInput(
+            name="mirostat_eta",
+            display_name="Mirostat Eta",
+            info="Learning rate for Mirostat algorithm. (Default: 0.1)",
+            advanced=True,
+        ),
+        FloatInput(
+            name="mirostat_tau",
+            display_name="Mirostat Tau",
+            info="Controls the balance between coherence and diversity of the output. (Default: 5.0)",
+            advanced=True,
+        ),
+        IntInput(
+            name="num_ctx",
+            display_name="Context Window Size",
+            info="Size of the context window for generating tokens. (Default: 2048)",
+            advanced=True,
+        ),
+        IntInput(
+            name="num_gpu",
+            display_name="Number of GPUs",
+            info="Number of GPUs to use for computation. (Default: 1 on macOS, 0 to disable)",
+            advanced=True,
+        ),
+        IntInput(
+            name="num_thread",
+            display_name="Number of Threads",
+            info="Number of threads to use during computation. (Default: detected for optimal performance)",
+            advanced=True,
+        ),
+        IntInput(
+            name="repeat_last_n",
+            display_name="Repeat Last N",
+            info="How far back the model looks to prevent repetition. (Default: 64, 0 = disabled, -1 = num_ctx)",
+            advanced=True,
+        ),
+        FloatInput(
+            name="repeat_penalty",
+            display_name="Repeat Penalty",
+            info="Penalty for repetitions in generated text. (Default: 1.1)",
+            advanced=True,
+        ),
+        FloatInput(
+            name="tfs_z",
+            display_name="TFS Z",
+            info="Tail free sampling value. (Default: 1)",
+            advanced=True,
+        ),
+        IntInput(
+            name="timeout",
+            display_name="Timeout",
+            info="Timeout for the request stream.",
+            advanced=True,
+        ),
+        IntInput(
+            name="top_k",
+            display_name="Top K",
+            info="Limits token selection to top K. (Default: 40)",
+            advanced=True,
+        ),
+        FloatInput(
+            name="top_p",
+            display_name="Top P",
+            info="Works together with top-k. (Default: 0.9)",
+            advanced=True,
+        ),
+        BoolInput(
+            name="verbose",
+            display_name="Verbose",
+            info="Whether to print out response text.",
+        ),
+        StrInput(
+            name="tags",
+            display_name="Tags",
+            info="Comma-separated list of tags to add to the run trace.",
+            advanced=True,
+        ),
+        StrInput(
+            name="stop_tokens",
+            display_name="Stop Tokens",
+            info="Comma-separated list of tokens to signal the model to stop generating text.",
+            advanced=True,
+        ),
+        StrInput(
+            name="system",
+            display_name="System",
+            info="System to use for generating text.",
+            advanced=True,
+        ),
+        StrInput(
+            name="template",
+            display_name="Template",
+            info="Template to use for generating text.",
+            advanced=True,
+        ),
+        MessageInput(
+            name="input_value",
+            display_name="Input",
+        ),
+        BoolInput(
+            name="stream",
+            display_name="Stream",
+            info=STREAM_INFO_TEXT,
+        ),
+        StrInput(
+            name="system_message",
+            display_name="System Message",
+            info="System message to pass to the model.",
+            advanced=True,
+        ),
+    ]
+    outputs = [
+        Output(display_name="Text", name="text_output", method="text_response"),
+        Output(display_name="Language Model", name="model_output", method="build_model"),
+    ]
+
+    def build_model(self) -> LanguageModel:
+        # Mapping mirostat settings to their corresponding values
+        mirostat_options = {"Mirostat": 1, "Mirostat 2.0": 2}
+
+        # Default to 0 for 'Disabled'
+        mirostat_value = mirostat_options.get(self.mirostat, 0)  # type: ignore
+
+        # Set mirostat_eta and mirostat_tau to None if mirostat is disabled
+        if mirostat_value == 0:
+            mirostat_eta = None
+            mirostat_tau = None
+        else:
+            mirostat_eta = self.mirostat_eta
+            mirostat_tau = self.mirostat_tau
+
+        # Mapping system settings to their corresponding values
+        llm_params = {
+            "base_url": self.base_url,
+            "model": self.model,
+            "mirostat": mirostat_value,
+            "format": self.format,
+            "metadata": self.metadata,
+            "tags": self.tags.split(",") if self.tags else None,
+            "mirostat_eta": mirostat_eta,
+            "mirostat_tau": mirostat_tau,
+            "num_ctx": self.num_ctx or None,
+            "num_gpu": self.num_gpu or None,
+            "num_thread": self.num_thread or None,
+            "repeat_last_n": self.repeat_last_n or None,
+            "repeat_penalty": self.repeat_penalty or None,
+            "temperature": self.temperature or None,
+            "stop": self.stop_tokens.split(",") if self.stop_tokens else None,
+            "system": self.system,
+            "template": self.template,
+            "tfs_z": self.tfs_z or None,
+            "timeout": self.timeout or None,
+            "top_k": self.top_k or None,
+            "top_p": self.top_p or None,
+            "verbose": self.verbose,
+        }
+
+        # Remove parameters with None values
+        llm_params = {k: v for k, v in llm_params.items() if v is not None}
+
+        try:
+            output = ChatOllama(**llm_params)  # type: ignore
+        except Exception as e:
+            raise ValueError("Could not initialize Ollama LLM.") from e
+
+        return output
diff --git a/src/backend/base/langflow/components/models/OpenAIModel.py b/src/backend/base/langflow/components/models/OpenAIModel.py
new file mode 100644
index 00000000000..6545cf3dc31
--- /dev/null
+++ b/src/backend/base/langflow/components/models/OpenAIModel.py
@@ -0,0 +1,127 @@
+import operator
+from functools import reduce
+
+from langchain_openai import ChatOpenAI
+from pydantic.v1 import SecretStr
+
+from langflow.base.constants import STREAM_INFO_TEXT
+from langflow.base.models.model import LCModelComponent
+from langflow.base.models.openai_constants import MODEL_NAMES
+from langflow.field_typing import LanguageModel
+from langflow.inputs import (
+    BoolInput,
+    DictInput,
+    DropdownInput,
+    FloatInput,
+    IntInput,
+    MessageInput,
+    SecretStrInput,
+    StrInput,
+)
+
+
+class OpenAIModelComponent(LCModelComponent):
+    display_name = "OpenAI"
+    description = "Generates text using OpenAI LLMs."
+    icon = "OpenAI"
+
+    inputs = [
+        MessageInput(name="input_value", display_name="Input"),
+        IntInput(
+            name="max_tokens",
+            display_name="Max Tokens",
+            advanced=True,
+            info="The maximum number of tokens to generate. Set to 0 for unlimited tokens.",
+        ),
+        DictInput(name="model_kwargs", display_name="Model Kwargs", advanced=True),
+        DictInput(
+            name="output_schema",
+            is_list=True,
+            display_name="Schema",
+            advanced=True,
+            info="The schema for the Output of the model. You must pass the word JSON in the prompt. If left blank, JSON mode will be disabled.",
+        ),
+        DropdownInput(
+            name="model_name", display_name="Model Name", advanced=False, options=MODEL_NAMES, value=MODEL_NAMES[0]
+        ),
+        StrInput(
+            name="openai_api_base",
+            display_name="OpenAI API Base",
+            advanced=True,
+            info="The base URL of the OpenAI API. Defaults to https://api.openai.com/v1. You can change this to use other APIs like JinaChat, LocalAI and Prem.",
+        ),
+        SecretStrInput(
+            name="openai_api_key",
+            display_name="OpenAI API Key",
+            info="The OpenAI API Key to use for the OpenAI model.",
+            advanced=False,
+            value="OPENAI_API_KEY",
+        ),
+        FloatInput(name="temperature", display_name="Temperature", value=0.1),
+        BoolInput(name="stream", display_name="Stream", info=STREAM_INFO_TEXT, advanced=True),
+        StrInput(
+            name="system_message",
+            display_name="System Message",
+            info="System message to pass to the model.",
+            advanced=True,
+        ),
+        IntInput(
+            name="seed",
+            display_name="Seed",
+            info="The seed controls the reproducibility of the job.",
+            advanced=True,
+            value=1,
+        ),
+    ]
+
+    def build_model(self) -> LanguageModel:
+        # self.output_schea is a list of dictionaries
+        # let's convert it to a dictionary
+        output_schema_dict: dict[str, str] = reduce(operator.ior, self.output_schema or {}, {})
+        openai_api_key = self.openai_api_key
+        temperature = self.temperature
+        model_name: str = self.model_name
+        max_tokens = self.max_tokens
+        model_kwargs = self.model_kwargs or {}
+        openai_api_base = self.openai_api_base or "https://api.openai.com/v1"
+        json_mode = bool(output_schema_dict)
+        seed = self.seed
+        model_kwargs["seed"] = seed
+
+        if openai_api_key:
+            api_key = SecretStr(openai_api_key)
+        else:
+            api_key = None
+        output = ChatOpenAI(
+            max_tokens=max_tokens or None,
+            model_kwargs=model_kwargs,
+            model=model_name,
+            base_url=openai_api_base,
+            api_key=api_key,
+            temperature=temperature or 0.1,
+        )
+        if json_mode:
+            output = output.with_structured_output(schema=output_schema_dict, method="json_mode")  # type: ignore
+
+        return output
+
+    def _get_exception_message(self, e: Exception):
+        """
+        Get a message from an OpenAI exception.
+
+        Args:
+            exception (Exception): The exception to get the message from.
+
+        Returns:
+            str: The message from the exception.
+        """
+
+        try:
+            from openai import BadRequestError
+        except ImportError:
+            return
+        if isinstance(e, BadRequestError):
+            message = e.body.get("message")  # type: ignore
+            if message:
+                return message
+        return
diff --git a/src/backend/base/langflow/components/models/VertexAiModel.py b/src/backend/base/langflow/components/models/VertexAiModel.py
new file mode 100644
index 00000000000..fb06ac5f204
--- /dev/null
+++ b/src/backend/base/langflow/components/models/VertexAiModel.py
@@ -0,0 +1,78 @@
+from langchain_google_vertexai import ChatVertexAI
+
+from langflow.base.constants import STREAM_INFO_TEXT
+from langflow.base.models.model import LCModelComponent
+from langflow.field_typing import LanguageModel
+from langflow.io import BoolInput, FileInput, FloatInput, IntInput, MessageInput, MultilineInput, Output, StrInput
+
+
+class ChatVertexAIComponent(LCModelComponent):
+    display_name = "Vertex AI"
+    description = "Generate text using Vertex AI LLMs."
+    icon = "VertexAI"
+
+    inputs = [
+        MessageInput(name="input_value", display_name="Input"),
+        FileInput(
+            name="credentials",
+            display_name="Credentials",
+            info="Path to the JSON file containing the credentials.",
+            file_types=["json"],
+            advanced=True,
+        ),
+        StrInput(name="project", display_name="Project", info="The project ID."),
+        MultilineInput(
+            name="examples",
+            display_name="Examples",
+            info="Examples to pass to the model.",
+            advanced=True,
+        ),
+        StrInput(name="location", display_name="Location", value="us-central1", advanced=True),
+        IntInput(
+            name="max_output_tokens",
+            display_name="Max Output Tokens",
+            value=128,
+            advanced=True,
+        ),
+        StrInput(name="model_name", display_name="Model Name", value="gemini-1.5-pro"),
+        FloatInput(name="temperature", display_name="Temperature", value=0.0),
+        IntInput(name="top_k", display_name="Top K", value=40, advanced=True),
+        FloatInput(name="top_p", display_name="Top P", value=0.95, advanced=True),
+        BoolInput(name="verbose", display_name="Verbose", value=False, advanced=True),
+        BoolInput(name="stream", display_name="Stream", info=STREAM_INFO_TEXT, advanced=True),
+        StrInput(
+            name="system_message",
+            display_name="System Message",
+            info="System message to pass to the model.",
+            advanced=True,
+        ),
+    ]
+    outputs = [
+        Output(display_name="Text", name="text_output", method="text_response"),
+        Output(display_name="Language Model", name="model_output", method="build_model"),
+    ]
+
+    def build_model(self) -> LanguageModel:
+        credentials = self.credentials
+        location = self.location
+        max_output_tokens = self.max_output_tokens
+        model_name = self.model_name
+        project = self.project
+        temperature = self.temperature
+        top_k = self.top_k
+        top_p = self.top_p
+        verbose = self.verbose
+
+        output = ChatVertexAI(
+            credentials=credentials,
+            location=location,
+            max_output_tokens=max_output_tokens,
+            model_name=model_name,
+            project=project,
+            temperature=temperature,
+            top_k=top_k,
+            top_p=top_p,
+            verbose=verbose,
+        )
+
+        return output
diff --git a/src/backend/base/langflow/components/models/__init__.py b/src/backend/base/langflow/components/models/__init__.py
new file mode 100644
index 00000000000..70e1ab10c14
--- /dev/null
+++ b/src/backend/base/langflow/components/models/__init__.py
@@ -0,0 +1,24 @@
+from .AmazonBedrockModel import AmazonBedrockComponent
+from .AnthropicModel import AnthropicModelComponent
+from .AzureOpenAIModel import AzureChatOpenAIComponent
+from .BaiduQianfanChatModel import QianfanChatEndpointComponent
+from .CohereModel import CohereComponent
+from .GoogleGenerativeAIModel import GoogleGenerativeAIComponent
+from .HuggingFaceModel import HuggingFaceEndpointsComponent
+from .OllamaModel import ChatOllamaComponent
+from .OpenAIModel import OpenAIModelComponent
+from .VertexAiModel import ChatVertexAIComponent
+
+__all__ = [
+    "AmazonBedrockComponent",
+    "AnthropicModelComponent",
+    "AzureChatOpenAIComponent",
+    "QianfanChatEndpointComponent",
+    "CohereComponent",
+    "GoogleGenerativeAIComponent",
+    "HuggingFaceEndpointsComponent",
+    "ChatOllamaComponent",
+    "OpenAIModelComponent",
+    "ChatVertexAIComponent",
+    "base",
+]
diff --git a/src/backend/base/langflow/components/outputs/ChatOutput.py b/src/backend/base/langflow/components/outputs/ChatOutput.py
new file mode 100644
index 00000000000..534ccf2f035
--- /dev/null
+++ b/src/backend/base/langflow/components/outputs/ChatOutput.py
@@ -0,0 +1,55 @@
+from langflow.base.io.chat import ChatComponent
+from langflow.io import DropdownInput, MessageTextInput, Output
+from langflow.schema.message import Message
+
+
+class ChatOutput(ChatComponent):
+    display_name = "Chat Output"
+    description = "Display a chat message in the Playground."
+    icon = "ChatOutput"
+
+    inputs = [
+        MessageTextInput(
+            name="input_value",
+            display_name="Text",
+            info="Message to be passed as output.",
+        ),
+        DropdownInput(
+            name="sender",
+            display_name="Sender Type",
+            options=["Machine", "User"],
+            value="Machine",
+            advanced=True,
+            info="Type of sender.",
+        ),
+        MessageTextInput(
+            name="sender_name", display_name="Sender Name", info="Name of the sender.", value="AI", advanced=True
+        ),
+        MessageTextInput(
+            name="session_id", display_name="Session ID", info="Session ID for the message.", advanced=True
+        ),
+        MessageTextInput(
+            name="data_template",
+            display_name="Data Template",
+            value="{text}",
+            advanced=True,
+            info="Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.",
+        ),
+    ]
+    outputs = [
+        Output(display_name="Message", name="message", method="message_response"),
+    ]
+
+    def message_response(self) -> Message:
+        message = Message(
+            text=self.input_value,
+            sender=self.sender,
+            sender_name=self.sender_name,
+            session_id=self.session_id,
+        )
+        if self.session_id and isinstance(message, Message) and isinstance(message.text, str):
+            self.store_message(message)
+            self.message.value = message
+
+        self.status = message
+        return message
diff --git a/src/backend/base/langflow/components/outputs/TextOutput.py b/src/backend/base/langflow/components/outputs/TextOutput.py
new file mode 100644
index 00000000000..4bd03e2e027
--- /dev/null
+++ b/src/backend/base/langflow/components/outputs/TextOutput.py
@@ -0,0 +1,27 @@
+from langflow.base.io.text import TextComponent
+from langflow.io import MessageTextInput, Output
+from langflow.schema.message import Message
+
+
+class TextOutputComponent(TextComponent):
+    display_name = "Text Output"
+    description = "Display a text output in the Playground."
+    icon = "type"
+
+    inputs = [
+        MessageTextInput(
+            name="input_value",
+            display_name="Text",
+            info="Text to be passed as output.",
+        ),
+    ]
+    outputs = [
+        Output(display_name="Text", name="text", method="text_response"),
+    ]
+
+    def text_response(self) -> Message:
+        message = Message(
+            text=self.input_value,
+        )
+        self.status = self.input_value
+        return message
diff --git a/src/backend/base/langflow/components/outputs/__init__.py b/src/backend/base/langflow/components/outputs/__init__.py
new file mode 100644
index 00000000000..35200e0feef
--- /dev/null
+++ b/src/backend/base/langflow/components/outputs/__init__.py
@@ -0,0 +1,4 @@
+from .ChatOutput import ChatOutput
+from .TextOutput import TextOutputComponent
+
+__all__ = ["ChatOutput", "TextOutputComponent"]
diff --git a/src/backend/base/langflow/components/prompts/Prompt.py b/src/backend/base/langflow/components/prompts/Prompt.py
new file mode 100644
index 00000000000..8f8d3d6a269
--- /dev/null
+++ b/src/backend/base/langflow/components/prompts/Prompt.py
@@ -0,0 +1,44 @@
+from langflow.base.prompts.api_utils import process_prompt_template
+from langflow.custom import Component
+from langflow.io import Output, PromptInput
+from langflow.schema.message import Message
+from langflow.template.utils import update_template_values
+
+
+class PromptComponent(Component):
+    display_name: str = "Prompt"
+    description: str = "Create a prompt template with dynamic variables."
+    icon = "prompts"
+    trace_type = "prompt"
+
+    inputs = [
+        PromptInput(name="template", display_name="Template"),
+    ]
+
+    outputs = [
+        Output(display_name="Prompt Message", name="prompt", method="build_prompt"),
+    ]
+
+    async def build_prompt(
+        self,
+    ) -> Message:
+        prompt = await Message.from_template_and_variables(**self._attributes)
+        self.status = prompt.text
+        return prompt
+
+    def post_code_processing(self, new_build_config: dict, current_build_config: dict):
+        """
+        This function is called after the code validation is done.
+        """
+        frontend_node = super().post_code_processing(new_build_config, current_build_config)
+        template = frontend_node["template"]["template"]["value"]
+        _ = process_prompt_template(
+            template=template,
+            name="template",
+            custom_fields=frontend_node["custom_fields"],
+            frontend_node_template=frontend_node["template"],
+        )
+        # Now that template is updated, we need to grab any values that were set in the current_build_config
+        # and update the frontend_node with those values
+        update_template_values(frontend_template=frontend_node, raw_template=current_build_config["template"])
+        return frontend_node
diff --git a/src/backend/base/langflow/components/prompts/__init__.py b/src/backend/base/langflow/components/prompts/__init__.py
new file mode 100644
index 00000000000..7a0a9cdf0e4
--- /dev/null
+++ b/src/backend/base/langflow/components/prompts/__init__.py
@@ -0,0 +1,3 @@
+from .Prompt import PromptComponent
+
+__all__ = ["PromptComponent"]
diff --git a/src/backend/base/langflow/components/prototypes/ConditionalRouter.py b/src/backend/base/langflow/components/prototypes/ConditionalRouter.py
new file mode 100644
index 00000000000..8305730bae9
--- /dev/null
+++ b/src/backend/base/langflow/components/prototypes/ConditionalRouter.py
@@ -0,0 +1,86 @@
+from langflow.custom import Component
+from langflow.io import BoolInput, DropdownInput, MessageInput, MessageTextInput, Output
+from langflow.schema.message import Message
+
+
+class ConditionalRouterComponent(Component):
+    display_name = "Conditional Router"
+    description = "Routes an input message to a corresponding output based on text comparison."
+    icon = "equal"
+
+    inputs = [
+        MessageTextInput(
+            name="input_text",
+            display_name="Input Text",
+            info="The primary text input for the operation.",
+        ),
+        MessageTextInput(
+            name="match_text",
+            display_name="Match Text",
+            info="The text input to compare against.",
+        ),
+        DropdownInput(
+            name="operator",
+            display_name="Operator",
+            options=["equals", "not equals", "contains", "starts with", "ends with"],
+            info="The operator to apply for comparing the texts.",
+            value="equals",
+            advanced=True,
+        ),
+        BoolInput(
+            name="case_sensitive",
+            display_name="Case Sensitive",
+            info="If true, the comparison will be case sensitive.",
+            value=False,
+            advanced=True,
+        ),
+        MessageInput(
+            name="message",
+            display_name="Message",
+            info="The message to pass through either route.",
+        ),
+    ]
+
+    outputs = [
+        Output(display_name="True Route", name="true_result", method="true_response"),
+        Output(display_name="False Route", name="false_result", method="false_response"),
+    ]
+
+    def evaluate_condition(self, input_text: str, match_text: str, operator: str, case_sensitive: bool) -> bool:
+        if not case_sensitive:
+            input_text = input_text.lower()
+            match_text = match_text.lower()
+
+        if operator == "equals":
+            return input_text == match_text
+        elif operator == "not equals":
+            return input_text != match_text
+        elif operator == "contains":
+            return match_text in input_text
+        elif operator == "starts with":
+            return input_text.startswith(match_text)
+        elif operator == "ends with":
+            return input_text.endswith(match_text)
+        return False
+
+    def true_response(self) -> Message:
+        result = self.evaluate_condition(self.input_text, self.match_text, self.operator, self.case_sensitive)
+        if result:
+            self.stop("false_result")
+            response = self.message if self.message else self.input_text
+            self.status = response
+            return response
+        else:
+            self.stop("true_result")
+            return Message()
+
+    def false_response(self) -> Message:
+        result = self.evaluate_condition(self.input_text, self.match_text, self.operator, self.case_sensitive)
+        if not result:
+            self.stop("true_result")
+            response = self.message if self.message else self.input_text
+            self.status = response
+            return response
+        else:
+            self.stop("false_result")
+            return Message()
diff --git a/src/backend/base/langflow/components/prototypes/CreateData.py b/src/backend/base/langflow/components/prototypes/CreateData.py
new file mode 100644
index 00000000000..c39199f4cf4
--- /dev/null
+++ b/src/backend/base/langflow/components/prototypes/CreateData.py
@@ -0,0 +1,81 @@
+from typing import Any
+
+from langflow.custom import CustomComponent
+from langflow.field_typing.range_spec import RangeSpec
+from langflow.schema import Data
+from langflow.schema.dotdict import dotdict
+from langflow.template.field.base import Input
+
+
+class CreateDataComponent(CustomComponent):
+    display_name = "Create Data"
+    description = "Dynamically create a Data with a specified number of fields."
+    field_order = ["number_of_fields", "text_key"]
+
+    def update_build_config(self, build_config: dotdict, field_value: Any, field_name: str | None = None):
+        if field_name == "number_of_fields":
+            default_keys = ["code", "_type", "number_of_fields", "text_key"]
+            try:
+                field_value_int = int(field_value)
+            except TypeError:
+                return build_config
+            existing_fields = {}
+            if field_value_int > 15:
+                build_config["number_of_fields"]["value"] = 15
+                raise ValueError("Number of fields cannot exceed 15. Try using a Component to combine two Data.")
+            if len(build_config) > len(default_keys) + field_value_int:
+                # back up the existing template fields
+                for key in build_config.copy():
+                    if key not in default_keys:
+                        existing_fields[key] = build_config.pop(key)
+
+            for i in range(1, field_value_int + 1):
+                key = f"field_{i}_key"
+                if key in existing_fields:
+                    field = existing_fields[key]
+                    build_config[key] = field
+                else:
+                    field = Input(
+                        display_name=f"Field {i}",
+                        name=key,
+                        info=f"Key for field {i}.",
+                        field_type="dict",
+                        input_types=["Text", "Data"],
+                    )
+                    build_config[field.name] = field.to_dict()
+
+            build_config["number_of_fields"]["value"] = field_value_int
+        return build_config
+
+    def build_config(self):
+        return {
+            "number_of_fields": {
+                "display_name": "Number of Fields",
+                "info": "Number of fields to be added to the record.",
+                "real_time_refresh": True,
+                "rangeSpec": RangeSpec(min=1, max=15, step=1, step_type="int"),
+            },
+            "text_key": {
+                "display_name": "Text Key",
+                "info": "Key to be used as text.",
+                "advanced": True,
+            },
+        }
+
+    def build(
+        self,
+        number_of_fields: int = 0,
+        text_key: str = "text",
+        **kwargs,
+    ) -> Data:
+        data = {}
+        for value_dict in kwargs.values():
+            if isinstance(value_dict, dict):
+                # Check if the value of the value_dict is a Data
+                value_dict = {
+                    key: value.get_text() if isinstance(value, Data) else value for key, value in value_dict.items()
+                }
+                data.update(value_dict)
+        return_data = Data(data=data, text_key=text_key)
+        self.status = return_data
+        return return_data
diff --git a/src/backend/base/langflow/components/prototypes/FlowTool.py b/src/backend/base/langflow/components/prototypes/FlowTool.py
new file mode 100644
index 00000000000..a1c9bc4eb6d
--- /dev/null
+++ b/src/backend/base/langflow/components/prototypes/FlowTool.py
@@ -0,0 +1,91 @@
+from typing import Any, List, Optional
+
+from loguru import logger
+
+from langflow.base.tools.flow_tool import FlowTool
+from langflow.custom import CustomComponent
+from langflow.field_typing import Tool
+from langflow.graph.graph.base import Graph
+from langflow.helpers.flow import get_flow_inputs
+from langflow.schema import Data
+from langflow.schema.dotdict import dotdict
+
+
+class FlowToolComponent(CustomComponent):
+    display_name = "Flow as Tool"
+    description = "Construct a Tool from a function that runs the loaded Flow."
+    field_order = ["flow_name", "name", "description", "return_direct"]
+    trace_type = "tool"
+    beta = True
+
+    def get_flow_names(self) -> List[str]:
+        flow_datas = self.list_flows()
+        return [flow_data.data["name"] for flow_data in flow_datas]
+
+    def get_flow(self, flow_name: str) -> Optional[Data]:
+        """
+        Retrieves a flow by its name.
+
+        Args:
+            flow_name (str): The name of the flow to retrieve.
+
+        Returns:
+            Optional[Text]: The flow record if found, None otherwise.
+        """
+        flow_datas = self.list_flows()
+        for flow_data in flow_datas:
+            if flow_data.data["name"] == flow_name:
+                return flow_data
+        return None
+
+    def update_build_config(self, build_config: dotdict, field_value: Any, field_name: str | None = None):
+        logger.debug(f"Updating build config with field value {field_value} and field name {field_name}")
+        if field_name == "flow_name":
+            build_config["flow_name"]["options"] = self.get_flow_names()
+
+        return build_config
+
+    def build_config(self):
+        return {
+            "flow_name": {
+                "display_name": "Flow Name",
+                "info": "The name of the flow to run.",
+                "options": [],
+                "real_time_refresh": True,
+                "refresh_button": True,
+            },
+            "name": {
+                "display_name": "Name",
+                "description": "The name of the tool.",
+            },
+            "description": {
+                "display_name": "Description",
+                "description": "The description of the tool.",
+            },
+            "return_direct": {
+                "display_name": "Return Direct",
+                "description": "Return the result directly from the Tool.",
+                "advanced": True,
+            },
+        }
+
+    async def build(self, flow_name: str, name: str, description: str, return_direct: bool = False) -> Tool:
+        FlowTool.update_forward_refs()
+        flow_data = self.get_flow(flow_name)
+        if not flow_data:
+            raise ValueError("Flow not found.")
+        graph = Graph.from_payload(flow_data.data["data"])
+        inputs = get_flow_inputs(graph)
+        tool = FlowTool(
+            name=name,
+            description=description,
+            graph=graph,
+            return_direct=return_direct,
+            inputs=inputs,
+            flow_id=str(flow_data.id),
+            user_id=str(self._user_id),
+        )
+        description_repr = repr(tool.description).strip("'")
+        args_str = "\n".join([f"- {arg_name}: {arg_data['description']}" for arg_name, arg_data in tool.args.items()])
+        self.status = f"{description_repr}\nArguments:\n{args_str}"
+        return tool  # type: ignore
diff --git a/src/backend/base/langflow/components/prototypes/Listen.py b/src/backend/base/langflow/components/prototypes/Listen.py
new file mode 100644
index 00000000000..03a81d130ee
--- /dev/null
+++ b/src/backend/base/langflow/components/prototypes/Listen.py
@@ -0,0 +1,21 @@
+from langflow.custom import CustomComponent
+from langflow.schema import Data
+
+
+class ListenComponent(CustomComponent):
+    display_name = "Listen"
+    description = "A component to listen for a notification."
+    beta: bool = True
+
+    def build_config(self):
+        return {
+            "name": {
+                "display_name": "Name",
+                "info": "The name of the notification to listen for.",
+            },
+        }
+
+    def build(self, name: str) -> Data:
+        state = self.get_state(name)
+        self.status = state
+        return state
diff --git a/src/backend/base/langflow/components/prototypes/Notify.py b/src/backend/base/langflow/components/prototypes/Notify.py
new file mode 100644
index 00000000000..e4bd0b090b1
--- /dev/null
+++ b/src/backend/base/langflow/components/prototypes/Notify.py
@@ -0,0 +1,41 @@
+from typing import Optional
+
+from langflow.custom import CustomComponent
+from langflow.schema import Data
+
+
+class NotifyComponent(CustomComponent):
+    display_name = "Notify"
+    description = "A component to generate a notification to Get Notified component."
+    icon = "Notify"
+    beta: bool = True
+
+    def build_config(self):
+        return {
+            "name": {"display_name": "Name", "info": "The name of the notification."},
+            "data": {"display_name": "Data", "info": "The data to store."},
+            "append": {
+                "display_name": "Append",
+                "info": "If True, the record will be appended to the notification.",
+            },
+        }
+
+    def build(self, name: str, data: Optional[Data] = None, append: bool = False) -> Data:
+        if data and not isinstance(data, Data):
+            if isinstance(data, str):
+                data = Data(text=data)
+            elif isinstance(data, dict):
+                data = Data(data=data)
+            else:
+                data = Data(text=str(data))
+        elif not data:
+            data = Data(text="")
+        if data:
+            if append:
+                self.append_state(name, data)
+            else:
+                self.update_state(name, data)
+        else:
+            self.status = "No record provided."
+        self.status = data
+        return data
diff --git a/src/backend/base/langflow/components/prototypes/Pass.py b/src/backend/base/langflow/components/prototypes/Pass.py
new file mode 100644
index 00000000000..4e2f234c977
--- /dev/null
+++ b/src/backend/base/langflow/components/prototypes/Pass.py
@@ -0,0 +1,31 @@
+from typing import Union
+
+from langflow.custom import CustomComponent
+from langflow.field_typing import Text
+from langflow.schema import Data
+
+
+class PassComponent(CustomComponent):
+    display_name = "Pass"
+    description = "A pass-through component that forwards the second input while ignoring the first, used for controlling workflow direction."
+    field_order = ["ignored_input", "forwarded_input"]
+    beta = True
+
+    def build_config(self) -> dict:
+        return {
+            "ignored_input": {
+                "display_name": "Ignored Input",
+                "info": "This input is ignored. It's used to control the flow in the graph.",
+                "input_types": ["Text", "Data"],
+            },
+            "forwarded_input": {
+                "display_name": "Input",
+                "info": "This input is forwarded by the component.",
+                "input_types": ["Text", "Data"],
+            },
+        }
+
+    def build(self, ignored_input: Text, forwarded_input: Text) -> Union[Text, Data]:
+        # The ignored_input is not used in the logic, it's just there for graph flow control
+        self.status = forwarded_input
+        return forwarded_input
diff --git a/src/backend/base/langflow/components/prototypes/PythonFunction.py b/src/backend/base/langflow/components/prototypes/PythonFunction.py
new file mode 100644
index 00000000000..f0f2386366c
--- /dev/null
+++ b/src/backend/base/langflow/components/prototypes/PythonFunction.py
@@ -0,0 +1,26 @@
+from typing import Callable
+
+from langflow.custom import CustomComponent
+from langflow.custom.utils import get_function
+from langflow.field_typing import Code
+
+
+class PythonFunctionComponent(CustomComponent):
+    display_name = "Python Function"
+    description = "Define a Python function."
+    icon = "Python"
+    beta = True
+
+    def build_config(self):
+        return {
+            "function_code": {
+                "display_name": "Code",
+                "info": "The code for the function.",
+                "show": True,
+            },
+        }
+
+    def build(self, function_code: Code) -> Callable:
+        self.status = function_code
+        func = get_function(function_code)
+        return func
diff --git a/src/backend/base/langflow/components/prototypes/RunFlow.py b/src/backend/base/langflow/components/prototypes/RunFlow.py
new file mode 100644
index 00000000000..d5b2362fb80
--- /dev/null
+++ b/src/backend/base/langflow/components/prototypes/RunFlow.py
@@ -0,0 +1,56 @@
+from typing import Any, List, Optional
+
+from langflow.base.flow_processing.utils import build_data_from_run_outputs
+from langflow.custom import CustomComponent
+from langflow.field_typing import NestedDict, Text
+from langflow.graph.schema import RunOutputs
+from langflow.schema import Data, dotdict
+
+
+class RunFlowComponent(CustomComponent):
+    display_name = "Run Flow"
+    description = "A component to run a flow."
+    beta: bool = True
+
+    def get_flow_names(self) -> List[str]:
+        flow_data = self.list_flows()
+        return [flow_data.data["name"] for flow_data in flow_data]
+
+    def update_build_config(self, build_config: dotdict, field_value: Any, field_name: str | None = None):
+        if field_name == "flow_name":
+            build_config["flow_name"]["options"] = self.get_flow_names()
+
+        return build_config
+
+    def build_config(self):
+        return {
+            "input_value": {
+                "display_name": "Input Value",
+                "multiline": True,
+            },
+            "flow_name": {
+                "display_name": "Flow Name",
+                "info": "The name of the flow to run.",
+                "options": [],
+                "refresh_button": True,
+            },
+            "tweaks": {
+                "display_name": "Tweaks",
+                "info": "Tweaks to apply to the flow.",
+            },
+        }
+
+    async def build(self, input_value: Text, flow_name: str, tweaks: NestedDict) -> List[Data]:
+        results: List[Optional[RunOutputs]] = await self.run_flow(
+            inputs={"input_value": input_value}, flow_name=flow_name, tweaks=tweaks
+        )
+        if isinstance(results, list):
+            data = []
+            for result in results:
+                if result:
+                    data.extend(build_data_from_run_outputs(result))
+        else:
+            data = build_data_from_run_outputs()(results)
+
+        self.status = data
+        return data
diff --git a/src/backend/base/langflow/components/prototypes/RunnableExecutor.py b/src/backend/base/langflow/components/prototypes/RunnableExecutor.py
new file mode 100644
index 00000000000..82260b76b8a
--- /dev/null
+++ b/src/backend/base/langflow/components/prototypes/RunnableExecutor.py
@@ -0,0 +1,122 @@
+from langchain_core.runnables import Runnable
+
+from langflow.custom import CustomComponent
+from langflow.field_typing import Text
+
+
+class RunnableExecComponent(CustomComponent):
+    description = "Execute a runnable. It will try to guess the input and output keys."
+    display_name = "Runnable Executor"
+    beta: bool = True
+    field_order = [
+        "input_key",
+        "output_key",
+        "input_value",
+        "runnable",
+    ]
+
+    def build_config(self):
+        return {
+            "input_key": {
+                "display_name": "Input Key",
+                "info": "The key to use for the input.",
+                "advanced": True,
+            },
+            "input_value": {
+                "display_name": "Inputs",
+                "info": "The inputs to pass to the runnable.",
+            },
+            "runnable": {
+                "display_name": "Runnable",
+                "info": "The runnable to execute.",
+                "input_types": ["Chain", "AgentExecutor", "Agent", "Runnable"],
+            },
+            "output_key": {
+                "display_name": "Output Key",
+                "info": "The key to use for the output.",
+                "advanced": True,
+            },
+        }
+
+    def get_output(self, result, input_key, output_key):
+        """
+        Retrieves the output value from the given result dictionary based on the specified input and output keys.
+
+        Args:
+            result (dict): The result dictionary containing the output value.
+            input_key (str): The key used to retrieve the input value from the result dictionary.
+            output_key (str): The key used to retrieve the output value from the result dictionary.
+
+        Returns:
+            tuple: A tuple containing the output value and the status message.
+
+        """
+        possible_output_keys = ["answer", "response", "output", "result", "text"]
+        status = ""
+        result_value = None
+
+        if output_key in result:
+            result_value = result.get(output_key)
+        elif len(result) == 2 and input_key in result:
+            # get the other key from the result dict
+            other_key = [k for k in result if k != input_key][0]
+            if other_key == output_key:
+                result_value = result.get(output_key)
+            else:
+                status += f"Warning: The output key is not '{output_key}'. The output key is '{other_key}'."
+                result_value = result.get(other_key)
+        elif len(result) == 1:
+            result_value = list(result.values())[0]
+        elif any(k in result for k in possible_output_keys):
+            for key in possible_output_keys:
+                if key in result:
+                    result_value = result.get(key)
+                    status += f"Output key: '{key}'."
+                    break
+            if result_value is None:
+                result_value = result
+                status += f"Warning: The output key is not '{output_key}'."
+        else:
+            result_value = result
+            status += f"Warning: The output key is not '{output_key}'."
+
+        return result_value, status
+
+    def get_input_dict(self, runnable, input_key, input_value):
+        """
+        Returns a dictionary containing the input key-value pair for the given runnable.
+
+        Args:
+            runnable: The runnable object.
+            input_key: The key for the input value.
+            input_value: The value for the input key.
+
+        Returns:
+            input_dict: A dictionary containing the input key-value pair.
+            status: A status message indicating if the input key is not in the runnable's input keys.
+        """
+        input_dict = {}
+        status = ""
+        if hasattr(runnable, "input_keys"):
+            # Check if input_key is in the runnable's input_keys
+            if input_key in runnable.input_keys:
+                input_dict[input_key] = input_value
+            else:
+                input_dict = {k: input_value for k in runnable.input_keys}
+                status = f"Warning: The input key is not '{input_key}'. The input key is '{runnable.input_keys}'."
+        return input_dict, status
+
+    def build(
+        self,
+        input_value: Text,
+        runnable: Runnable,
+        input_key: str = "input",
+        output_key: str = "output",
+    ) -> Text:
+        input_dict, status = self.get_input_dict(runnable, input_key, input_value)
+        result = runnable.invoke(input_dict)
+        result_value, _status = self.get_output(result, input_key, output_key)
+        status += _status
+        status += f"\n\nOutput: {result_value}\n\nRaw Output: {result}"
+        self.status = status
+        return result_value
diff --git a/src/backend/base/langflow/components/prototypes/SQLExecutor.py b/src/backend/base/langflow/components/prototypes/SQLExecutor.py
new file mode 100644
index 00000000000..6ef92ba6dcf
--- /dev/null
+++ b/src/backend/base/langflow/components/prototypes/SQLExecutor.py
@@ -0,0 +1,69 @@
+from langchain_community.tools.sql_database.tool import QuerySQLDataBaseTool
+from langchain_community.utilities import SQLDatabase
+
+from langflow.custom import CustomComponent
+from langflow.field_typing import Text
+
+
+class SQLExecutorComponent(CustomComponent):
+    display_name = "SQL Executor"
+    description = "Execute SQL query."
+    beta: bool = True
+
+    def build_config(self):
+        return {
+            "database_url": {
+                "display_name": "Database URL",
+                "info": "The URL of the database.",
+            },
+            "include_columns": {
+                "display_name": "Include Columns",
+                "info": "Include columns in the result.",
+            },
+            "passthrough": {
+                "display_name": "Passthrough",
+                "info": "If an error occurs, return the query instead of raising an exception.",
+            },
+            "add_error": {
+                "display_name": "Add Error",
+                "info": "Add the error to the result.",
+            },
+        }
+
+    def clean_up_uri(self, uri: str) -> str:
+        if uri.startswith("postgresql://"):
+            uri = uri.replace("postgresql://", "postgres://")
+        return uri.strip()
+
+    def build(
+        self,
+        query: str,
+        database_url: str,
+        include_columns: bool = False,
+        passthrough: bool = False,
+        add_error: bool = False,
+    ) -> Text:
+        error = None
+        try:
+            database = SQLDatabase.from_uri(database_url)
+        except Exception as e:
+            raise ValueError(f"An error occurred while connecting to the database: {e}")
+        try:
+            tool = QuerySQLDataBaseTool(db=database)
+            result = tool.run(query, include_columns=include_columns)
+            self.status = result
+        except Exception as e:
+            result = str(e)
+            self.status = result
+            if not passthrough:
+                raise e
+            error = repr(e)
+
+        if add_error and error is not None:
+            result = f"{result}\n\nError: {error}\n\nQuery: {query}"
+        elif error is not None:
+            # Then we won't add the error to the result
+            # but since we are in passthrough mode, we will return the query
+            result = query
+
+        return result
diff --git a/src/backend/base/langflow/components/prototypes/SubFlow.py b/src/backend/base/langflow/components/prototypes/SubFlow.py
new file mode 100644
index 00000000000..b0631ee9910
--- /dev/null
+++ b/src/backend/base/langflow/components/prototypes/SubFlow.py
@@ -0,0 +1,115 @@
+from typing import Any, List, Optional
+
+from langflow.base.flow_processing.utils import build_data_from_result_data
+from langflow.custom import CustomComponent
+from langflow.graph.graph.base import Graph
+from langflow.graph.schema import RunOutputs
+from langflow.graph.vertex.base import Vertex
+from langflow.helpers.flow import get_flow_inputs
+from langflow.schema import Data
+from langflow.schema.dotdict import dotdict
+from langflow.template.field.base import Input
+from loguru import logger
+
+
+class SubFlowComponent(CustomComponent):
+    display_name = "Sub Flow"
+    description = (
+        "Dynamically Generates a Component from a Flow. The output is a list of data with keys 'result' and 'message'."
+    )
+    beta: bool = True
+    field_order = ["flow_name"]
+
+    def get_flow_names(self) -> List[str]:
+        flow_datas = self.list_flows()
+        return [flow_data.data["name"] for flow_data in flow_datas]
+
+    def get_flow(self, flow_name: str) -> Optional[Data]:
+        flow_datas = self.list_flows()
+        for flow_data in flow_datas:
+            if flow_data.data["name"] == flow_name:
+                return flow_data
+        return None
+
+    def update_build_config(self, build_config: dotdict, field_value: Any, field_name: str | None = None):
+        logger.debug(f"Updating build config with field value {field_value} and field name {field_name}")
+        if field_name == "flow_name":
+            build_config["flow_name"]["options"] = self.get_flow_names()
+        # Clean up the build config
+        for key in list(build_config.keys()):
+            if key not in self.field_order + ["code", "_type", "get_final_results_only"]:
+                del build_config[key]
+        if field_value is not None and field_name == "flow_name":
+            try:
+                flow_data = self.get_flow(field_value)
+                if not flow_data:
+                    raise ValueError(f"Flow {field_value} not found.")
+                graph = Graph.from_payload(flow_data.data["data"])
+                # Get all inputs from the graph
+                inputs = get_flow_inputs(graph)
+                # Add inputs to the build config
+                build_config = self.add_inputs_to_build_config(inputs, build_config)
+            except Exception as e:
+                logger.error(f"Error getting flow {field_value}: {str(e)}")
+
+        return build_config
+
+    def add_inputs_to_build_config(self, inputs: List[Vertex], build_config: dotdict):
+        new_fields: list[Input] = []
+        for vertex in inputs:
+            field = Input(
+                display_name=vertex.display_name,
+                name=vertex.id,
+                info=vertex.description,
+                field_type="str",
+                value=None,
+            )
+            new_fields.append(field)
+        logger.debug(new_fields)
+        for field in new_fields:
+            build_config[field.name] = field.to_dict()
+        return build_config
+
+    def build_config(self):
+        return {
+            "input_value": {
+                "display_name": "Input Value",
+                "multiline": True,
+            },
+            "flow_name": {
+                "display_name": "Flow Name",
+                "info": "The name of the flow to run.",
+                "options": [],
+                "real_time_refresh": True,
+                "refresh_button": True,
+            },
+            "tweaks": {
+                "display_name": "Tweaks",
+                "info": "Tweaks to apply to the flow.",
+            },
+            "get_final_results_only": {
+                "display_name": "Get Final Results Only",
+                "info": "If False, the output will contain all outputs from the flow.",
+                "advanced": True,
+            },
+        }
+
+    async def build(self, flow_name: str, get_final_results_only: bool = True, **kwargs) -> List[Data]:
+        tweaks = {key: {"input_value": value} for key, value in kwargs.items()}
+        run_outputs: List[Optional[RunOutputs]] = await self.run_flow(
+            tweaks=tweaks,
+            flow_name=flow_name,
+        )
+        if not run_outputs:
+            return []
+        run_output = run_outputs[0]
+
+        data = []
+        if run_output is not None:
+            for output in run_output.outputs:
+                if output:
+                    data.extend(build_data_from_result_data(output, get_final_results_only))
+
+        self.status = data
+        logger.debug(data)
+        return data
diff --git a/src/backend/base/langflow/components/prototypes/UpdateData.py b/src/backend/base/langflow/components/prototypes/UpdateData.py
new file mode 100644
index 00000000000..eebd35ec8b4
--- /dev/null
+++ b/src/backend/base/langflow/components/prototypes/UpdateData.py
@@ -0,0 +1,39 @@
+from langflow.custom import CustomComponent
+from langflow.schema import Data
+
+
+class UpdateDataComponent(CustomComponent):
+    display_name = "Update Data"
+    description = "Update Data with text-based key/value pairs, similar to updating a Python dictionary."
+
+    def build_config(self):
+        return {
+            "data": {
+                "display_name": "Data",
+                "info": "The record to update.",
+            },
+            "new_data": {
+                "display_name": "New Data",
+                "info": "The new data to update the record with.",
+                "input_types": ["Text"],
+            },
+        }
+
+    def build(
+        self,
+        data: Data,
+        new_data: dict,
+    ) -> Data:
+        """
+        Updates a record with new data.
+
+        Args:
+            record (Data): The record to update.
+            new_data (dict): The new data to update the record with.
+
+        Returns:
+            Data: The updated record.
+        """
+        data.data.update(new_data)
+        self.status = data
+        return data
diff --git a/src/backend/base/langflow/components/prototypes/__init__.py b/src/backend/base/langflow/components/prototypes/__init__.py
new file mode 100644
index 00000000000..89c14f7e904
--- /dev/null
+++ b/src/backend/base/langflow/components/prototypes/__init__.py
@@ -0,0 +1,27 @@
+from .ConditionalRouter import ConditionalRouterComponent
+from .FlowTool import FlowToolComponent
+from .Listen import ListenComponent
+from .Notify import NotifyComponent
+from .Pass import PassComponent
+from .PythonFunction import PythonFunctionComponent
+from .RunFlow import RunFlowComponent
+from .RunnableExecutor import RunnableExecComponent
+from .SQLExecutor import SQLExecutorComponent
+from .SubFlow import SubFlowComponent
+from .CreateData import CreateDataComponent
+from .UpdateData import UpdateDataComponent
+
+__all__ = [
+    "ConditionalRouterComponent",
+    "FlowToolComponent",
+    "ListenComponent",
+    "NotifyComponent",
+    "PassComponent",
+    "PythonFunctionComponent",
+    "RunFlowComponent",
+    "RunnableExecComponent",
+    "SQLExecutorComponent",
+    "SubFlowComponent",
+    "CreateDataComponent",
+    "UpdateDataComponent",
+]
diff --git a/src/backend/langflow/components/retrievers/AmazonKendra.py b/src/backend/base/langflow/components/retrievers/AmazonKendra.py
similarity index 83%
rename from src/backend/langflow/components/retrievers/AmazonKendra.py
rename to src/backend/base/langflow/components/retrievers/AmazonKendra.py
index 827945a51ed..90c70a7bc01 100644
--- a/src/backend/langflow/components/retrievers/AmazonKendra.py
+++ b/src/backend/base/langflow/components/retrievers/AmazonKendra.py
@@ -1,12 +1,15 @@
-from typing import Optional
-from langflow import CustomComponent
-from langchain.retrievers import AmazonKendraRetriever
-from langchain.schema import BaseRetriever
+from typing import Optional, cast
+
+from langchain_community.retrievers import AmazonKendraRetriever
+
+from langflow.custom import CustomComponent
+from langflow.field_typing import Retriever
 
 
 class AmazonKendraRetrieverComponent(CustomComponent):
     display_name: str = "Amazon Kendra Retriever"
     description: str = "Retriever that uses the Amazon Kendra API."
+    icon = "Amazon"
 
     def build_config(self):
         return {
@@ -33,7 +36,7 @@ def build(
         credentials_profile_name: Optional[str] = None,
         attribute_filter: Optional[dict] = None,
         user_context: Optional[dict] = None,
-    ) -> BaseRetriever:
+    ) -> Retriever:  # type: ignore[type-var]
         try:
             output = AmazonKendraRetriever(
                 index_id=index_id,
@@ -45,4 +48,4 @@ def build(
             )  # type: ignore
         except Exception as e:
             raise ValueError("Could not connect to AmazonKendra API.") from e
-        return output
+        return cast(Retriever, output)
diff --git a/src/backend/base/langflow/components/retrievers/CohereRerank.py b/src/backend/base/langflow/components/retrievers/CohereRerank.py
new file mode 100644
index 00000000000..7eedc1ee068
--- /dev/null
+++ b/src/backend/base/langflow/components/retrievers/CohereRerank.py
@@ -0,0 +1,51 @@
+from typing import List, cast
+
+from langchain.retrievers import ContextualCompressionRetriever
+from langchain_cohere import CohereRerank
+
+from langflow.base.vectorstores.model import LCVectorStoreComponent
+from langflow.field_typing import Retriever
+from langflow.io import DropdownInput, HandleInput, IntInput, MessageTextInput, MultilineInput, SecretStrInput
+from langflow.schema import Data
+
+
+class CohereRerankComponent(LCVectorStoreComponent):
+    display_name = "Cohere Rerank"
+    description = "Rerank documents using the Cohere API and a retriever."
+    icon = "Cohere"
+
+    inputs = [
+        MultilineInput(
+            name="search_query",
+            display_name="Search Query",
+        ),
+        DropdownInput(
+            name="model",
+            display_name="Model",
+            options=[
+                "rerank-english-v3.0",
+                "rerank-multilingual-v3.0",
+                "rerank-english-v2.0",
+                "rerank-multilingual-v2.0",
+            ],
+            value="rerank-english-v3.0",
+        ),
+        SecretStrInput(name="api_key", display_name="API Key"),
+        IntInput(name="top_n", display_name="Top N", value=3),
+        MessageTextInput(name="user_agent", display_name="User Agent", value="langflow", advanced=True),
+        HandleInput(name="retriever", display_name="Retriever", input_types=["Retriever"]),
+    ]
+
+    def build_base_retriever(self) -> Retriever:  # type: ignore[type-var]
+        cohere_reranker = CohereRerank(
+            cohere_api_key=self.api_key, model=self.model, top_n=self.top_n, user_agent=self.user_agent
+        )
+        retriever = ContextualCompressionRetriever(base_compressor=cohere_reranker, base_retriever=self.retriever)
+        return cast(Retriever, retriever)
+
+    async def search_documents(self) -> List[Data]:  # type: ignore
+        retriever = self.build_base_retriever()
+        documents = await retriever.ainvoke(self.search_query)
+        data = self.to_data(documents)
+        self.status = data
+        return data
diff --git a/src/backend/base/langflow/components/retrievers/MetalRetriever.py b/src/backend/base/langflow/components/retrievers/MetalRetriever.py
new file mode 100644
index 00000000000..f3af0ebb056
--- /dev/null
+++ b/src/backend/base/langflow/components/retrievers/MetalRetriever.py
@@ -0,0 +1,28 @@
+from typing import Optional, cast
+
+from langchain_community.retrievers import MetalRetriever
+from metal_sdk.metal import Metal  # type: ignore
+
+from langflow.custom import CustomComponent
+from langflow.field_typing import Retriever
+
+
+class MetalRetrieverComponent(CustomComponent):
+    display_name: str = "Metal Retriever"
+    description: str = "Retriever that uses the Metal API."
+
+    def build_config(self):
+        return {
+            "api_key": {"display_name": "API Key", "password": True},
+            "client_id": {"display_name": "Client ID", "password": True},
+            "index_id": {"display_name": "Index ID"},
+            "params": {"display_name": "Parameters"},
+            "code": {"show": False},
+        }
+
+    def build(self, api_key: str, client_id: str, index_id: str, params: Optional[dict] = None) -> Retriever:  # type: ignore[type-var]
+        try:
+            metal = Metal(api_key=api_key, client_id=client_id, index_id=index_id)
+        except Exception as e:
+            raise ValueError("Could not connect to Metal API.") from e
+        return cast(Retriever, MetalRetriever(client=metal, params=params or {}))
diff --git a/src/backend/langflow/components/retrievers/MultiQueryRetriever.py b/src/backend/base/langflow/components/retrievers/MultiQueryRetriever.py
similarity index 79%
rename from src/backend/langflow/components/retrievers/MultiQueryRetriever.py
rename to src/backend/base/langflow/components/retrievers/MultiQueryRetriever.py
index d2c12d7a5c4..f7b2eda6ba9 100644
--- a/src/backend/langflow/components/retrievers/MultiQueryRetriever.py
+++ b/src/backend/base/langflow/components/retrievers/MultiQueryRetriever.py
@@ -1,8 +1,9 @@
-from typing import Callable, Optional, Union
+from typing import Optional
 
 from langchain.retrievers import MultiQueryRetriever
-from langflow import CustomComponent
-from langflow.field_typing import BaseLLM, BaseRetriever, PromptTemplate
+
+from langflow.custom import CustomComponent
+from langflow.field_typing import BaseRetriever, LanguageModel, PromptTemplate, Text
 
 
 class MultiQueryRetrieverComponent(CustomComponent):
@@ -38,12 +39,15 @@ def build_config(self):
 
     def build(
         self,
-        llm: BaseLLM,
+        llm: LanguageModel,
         retriever: BaseRetriever,
-        prompt: Optional[PromptTemplate] = None,
+        prompt: Optional[Text] = None,
         parser_key: str = "lines",
-    ) -> Union[Callable, MultiQueryRetriever]:
+    ) -> MultiQueryRetriever:
         if not prompt:
             return MultiQueryRetriever.from_llm(llm=llm, retriever=retriever, parser_key=parser_key)
         else:
-            return MultiQueryRetriever.from_llm(llm=llm, retriever=retriever, prompt=prompt, parser_key=parser_key)
+            prompt_template = PromptTemplate.from_template(prompt)
+            return MultiQueryRetriever.from_llm(
+                llm=llm, retriever=retriever, prompt=prompt_template, parser_key=parser_key
+            )
diff --git a/src/backend/base/langflow/components/retrievers/SelfQueryRetriever.py b/src/backend/base/langflow/components/retrievers/SelfQueryRetriever.py
new file mode 100644
index 00000000000..fd61a32deaf
--- /dev/null
+++ b/src/backend/base/langflow/components/retrievers/SelfQueryRetriever.py
@@ -0,0 +1,69 @@
+# from langflow.field_typing import Data
+from langchain.chains.query_constructor.base import AttributeInfo
+from langchain.retrievers.self_query.base import SelfQueryRetriever
+from langchain_core.vectorstores import VectorStore
+
+from langflow.custom import CustomComponent
+from langflow.field_typing import LanguageModel, Text
+from langflow.schema import Data
+from langflow.schema.message import Message
+
+
+class SelfQueryRetrieverComponent(CustomComponent):
+    display_name: str = "Self Query Retriever"
+    description: str = "Retriever that uses a vector store and an LLM to generate the vector store queries."
+    icon = "LangChain"
+
+    def build_config(self):
+        return {
+            "query": {
+                "display_name": "Query",
+                "input_types": ["Message", "Text"],
+                "info": "Query to be passed as input.",
+            },
+            "vectorstore": {
+                "display_name": "Vector Store",
+                "info": "Vector Store to be passed as input.",
+            },
+            "attribute_infos": {
+                "display_name": "Metadata Field Info",
+                "info": "Metadata Field Info to be passed as input.",
+            },
+            "document_content_description": {
+                "display_name": "Document Content Description",
+                "info": "Document Content Description to be passed as input.",
+            },
+            "llm": {
+                "display_name": "LLM",
+                "info": "LLM to be passed as input.",
+            },
+        }
+
+    def build(
+        self,
+        query: Message,
+        vectorstore: VectorStore,
+        attribute_infos: list[Data],
+        document_content_description: Text,
+        llm: LanguageModel,
+    ) -> Data:
+        metadata_field_infos = [AttributeInfo(**value.data) for value in attribute_infos]
+        self_query_retriever = SelfQueryRetriever.from_llm(
+            llm=llm,
+            vectorstore=vectorstore,
+            document_contents=document_content_description,
+            metadata_field_info=metadata_field_infos,
+            enable_limit=True,
+        )
+
+        if isinstance(query, Message):
+            input_text = query.text
+        elif isinstance(query, str):
+            input_text = query
+
+        if not isinstance(query, str):
+            raise ValueError(f"Query type {type(query)} not supported.")
+        documents = self_query_retriever.invoke(input=input_text)
+        data = [Data.from_document(document) for document in documents]
+        self.status = data
+        return data
diff --git a/src/backend/langflow/components/retrievers/VectaraSelfQueryRetriver.py b/src/backend/base/langflow/components/retrievers/VectaraSelfQueryRetriver.py
similarity index 80%
rename from src/backend/langflow/components/retrievers/VectaraSelfQueryRetriver.py
rename to src/backend/base/langflow/components/retrievers/VectaraSelfQueryRetriver.py
index 26afd765c17..a328b2b20f7 100644
--- a/src/backend/langflow/components/retrievers/VectaraSelfQueryRetriver.py
+++ b/src/backend/base/langflow/components/retrievers/VectaraSelfQueryRetriver.py
@@ -1,11 +1,13 @@
-from typing import List
-from langflow import CustomComponent
 import json
-from langchain.schema import BaseRetriever
-from langchain.schema.vectorstore import VectorStore
-from langchain.base_language import BaseLanguageModel
-from langchain.retrievers.self_query.base import SelfQueryRetriever
+from typing import List, cast
+
 from langchain.chains.query_constructor.base import AttributeInfo
+from langchain.retrievers.self_query.base import SelfQueryRetriever
+from langchain_core.vectorstores import VectorStore
+
+from langflow.custom import CustomComponent
+from langflow.field_typing import Retriever
+from langflow.field_typing.constants import LanguageModel
 
 
 class VectaraSelfQueryRetriverComponent(CustomComponent):
@@ -16,7 +18,7 @@ class VectaraSelfQueryRetriverComponent(CustomComponent):
     display_name: str = "Vectara Self Query Retriever for Vectara Vector Store"
     description: str = "Implementation of Vectara Self Query Retriever"
     documentation = "https://python.langchain.com/docs/integrations/retrievers/self_query/vectara_self_query"
-    beta = True
+    icon = "Vectara"
 
     field_config = {
         "code": {"show": True},
@@ -36,9 +38,9 @@ def build(
         self,
         vectorstore: VectorStore,
         document_content_description: str,
-        llm: BaseLanguageModel,
+        llm: LanguageModel,
         metadata_field_info: List[str],
-    ) -> BaseRetriever:
+    ) -> Retriever:  # type: ignore
         metadata_field_obj = []
 
         for meta in metadata_field_info:
@@ -52,6 +54,9 @@ def build(
             )
             metadata_field_obj.append(attribute_info)
 
-        return SelfQueryRetriever.from_llm(
-            llm, vectorstore, document_content_description, metadata_field_obj, verbose=True
+        return cast(
+            Retriever,
+            SelfQueryRetriever.from_llm(
+                llm, vectorstore, document_content_description, metadata_field_obj, verbose=True
+            ),
         )
diff --git a/src/backend/langflow/components/retrievers/VectorStoreRetriever.py b/src/backend/base/langflow/components/retrievers/VectorStoreRetriever.py
similarity index 91%
rename from src/backend/langflow/components/retrievers/VectorStoreRetriever.py
rename to src/backend/base/langflow/components/retrievers/VectorStoreRetriever.py
index 576b02e69cb..6460e04582f 100644
--- a/src/backend/langflow/components/retrievers/VectorStoreRetriever.py
+++ b/src/backend/base/langflow/components/retrievers/VectorStoreRetriever.py
@@ -1,6 +1,6 @@
 from langchain_core.vectorstores import VectorStoreRetriever
 
-from langflow import CustomComponent
+from langflow.custom import CustomComponent
 from langflow.field_typing import VectorStore
 
 
diff --git a/src/backend/base/langflow/components/retrievers/__init__.py b/src/backend/base/langflow/components/retrievers/__init__.py
new file mode 100644
index 00000000000..35030bc5ef1
--- /dev/null
+++ b/src/backend/base/langflow/components/retrievers/__init__.py
@@ -0,0 +1,13 @@
+from .AmazonKendra import AmazonKendraRetrieverComponent
+from .MetalRetriever import MetalRetrieverComponent
+from .MultiQueryRetriever import MultiQueryRetrieverComponent
+from .VectaraSelfQueryRetriver import VectaraSelfQueryRetriverComponent
+from .VectorStoreRetriever import VectoStoreRetrieverComponent
+
+__all__ = [
+    "AmazonKendraRetrieverComponent",
+    "MetalRetrieverComponent",
+    "MultiQueryRetrieverComponent",
+    "VectaraSelfQueryRetriverComponent",
+    "VectoStoreRetrieverComponent",
+]
diff --git a/src/backend/base/langflow/components/textsplitters/CharacterTextSplitter.py b/src/backend/base/langflow/components/textsplitters/CharacterTextSplitter.py
new file mode 100644
index 00000000000..c0f00b07867
--- /dev/null
+++ b/src/backend/base/langflow/components/textsplitters/CharacterTextSplitter.py
@@ -0,0 +1,44 @@
+from typing import List
+
+from langchain_text_splitters import CharacterTextSplitter
+
+from langflow.custom import CustomComponent
+from langflow.schema import Data
+from langflow.utils.util import unescape_string
+
+
+class CharacterTextSplitterComponent(CustomComponent):
+    display_name = "CharacterTextSplitter"
+    description = "Splitting text that looks at characters."
+
+    def build_config(self):
+        return {
+            "inputs": {"display_name": "Input", "input_types": ["Document", "Data"]},
+            "chunk_overlap": {"display_name": "Chunk Overlap", "default": 200},
+            "chunk_size": {"display_name": "Chunk Size", "default": 1000},
+            "separator": {"display_name": "Separator", "default": "\n"},
+        }
+
+    def build(
+        self,
+        inputs: List[Data],
+        chunk_overlap: int = 200,
+        chunk_size: int = 1000,
+        separator: str = "\n",
+    ) -> List[Data]:
+        # separator may come escaped from the frontend
+        separator = unescape_string(separator)
+        documents = []
+        for _input in inputs:
+            if isinstance(_input, Data):
+                documents.append(_input.to_lc_document())
+            else:
+                documents.append(_input)
+        docs = CharacterTextSplitter(
+            chunk_overlap=chunk_overlap,
+            chunk_size=chunk_size,
+            separator=separator,
+        ).split_documents(documents)
+        data = self.to_data(docs)
+        self.status = data
+        return data
diff --git a/src/backend/langflow/components/textsplitters/LanguageRecursiveTextSplitter.py b/src/backend/base/langflow/components/textsplitters/LanguageRecursiveTextSplitter.py
similarity index 80%
rename from src/backend/langflow/components/textsplitters/LanguageRecursiveTextSplitter.py
rename to src/backend/base/langflow/components/textsplitters/LanguageRecursiveTextSplitter.py
index d1494f4d0e6..4c074e8616b 100644
--- a/src/backend/langflow/components/textsplitters/LanguageRecursiveTextSplitter.py
+++ b/src/backend/base/langflow/components/textsplitters/LanguageRecursiveTextSplitter.py
@@ -1,9 +1,9 @@
-from typing import Optional
+from typing import List, Optional
 
-from langchain.text_splitter import Language
-from langchain_core.documents import Document
+from langchain_text_splitters import Language, RecursiveCharacterTextSplitter
 
-from langflow import CustomComponent
+from langflow.custom import CustomComponent
+from langflow.schema import Data
 
 
 class LanguageRecursiveTextSplitterComponent(CustomComponent):
@@ -14,10 +14,7 @@ class LanguageRecursiveTextSplitterComponent(CustomComponent):
     def build_config(self):
         options = [x.value for x in Language]
         return {
-            "documents": {
-                "display_name": "Documents",
-                "info": "The documents to split.",
-            },
+            "inputs": {"display_name": "Input", "input_types": ["Document", "Data"]},
             "separator_type": {
                 "display_name": "Separator Type",
                 "info": "The type of separator to use.",
@@ -47,11 +44,11 @@ def build_config(self):
 
     def build(
         self,
-        documents: list[Document],
+        inputs: List[Data],
         chunk_size: Optional[int] = 1000,
         chunk_overlap: Optional[int] = 200,
         separator_type: str = "Python",
-    ) -> list[Document]:
+    ) -> list[Data]:
         """
         Split text into chunks of a specified length.
 
@@ -64,7 +61,6 @@ def build(
         Returns:
             list[str]: The chunks of text.
         """
-        from langchain.text_splitter import RecursiveCharacterTextSplitter
 
         # Make sure chunk_size and chunk_overlap are ints
         if isinstance(chunk_size, str):
@@ -77,6 +73,12 @@ def build(
             chunk_size=chunk_size,
             chunk_overlap=chunk_overlap,
         )
-
+        documents = []
+        for _input in inputs:
+            if isinstance(_input, Data):
+                documents.append(_input.to_lc_document())
+            else:
+                documents.append(_input)
         docs = splitter.split_documents(documents)
-        return docs
+        data = self.to_data(docs)
+        return data
diff --git a/src/backend/base/langflow/components/textsplitters/RecursiveCharacterTextSplitter.py b/src/backend/base/langflow/components/textsplitters/RecursiveCharacterTextSplitter.py
new file mode 100644
index 00000000000..f1385f16532
--- /dev/null
+++ b/src/backend/base/langflow/components/textsplitters/RecursiveCharacterTextSplitter.py
@@ -0,0 +1,86 @@
+from langchain_text_splitters import RecursiveCharacterTextSplitter
+
+from langflow.custom import Component
+from langflow.inputs.inputs import DataInput, IntInput, MessageTextInput
+from langflow.schema import Data
+from langflow.template.field.base import Output
+from langflow.utils.util import build_loader_repr_from_data, unescape_string
+
+
+class RecursiveCharacterTextSplitterComponent(Component):
+    display_name: str = "Recursive Character Text Splitter"
+    description: str = "Split text into chunks of a specified length."
+    documentation: str = "https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter"
+
+    inputs = [
+        IntInput(
+            name="chunk_size",
+            display_name="Chunk Size",
+            info="The maximum length of each chunk.",
+            value=1000,
+        ),
+        IntInput(
+            name="chunk_overlap",
+            display_name="Chunk Overlap",
+            info="The amount of overlap between chunks.",
+            value=200,
+        ),
+        DataInput(
+            name="data_input",
+            display_name="Input",
+            info="The texts to split.",
+            input_types=["Document", "Data"],
+        ),
+        MessageTextInput(
+            name="separators",
+            display_name="Separators",
+            info='The characters to split on.\nIf left empty defaults to ["\\n\\n", "\\n", " ", ""].',
+            is_list=True,
+        ),
+    ]
+    outputs = [
+        Output(display_name="Data", name="data", method="split_data"),
+    ]
+
+    def split_data(self) -> list[Data]:
+        """
+        Split text into chunks of a specified length.
+
+        Args:
+            separators (list[str] | None): The characters to split on.
+            chunk_size (int): The maximum length of each chunk.
+            chunk_overlap (int): The amount of overlap between chunks.
+
+        Returns:
+            list[str]: The chunks of text.
+        """
+
+        if self.separators == "":
+            self.separators: list[str] | None = None
+        elif self.separators:
+            # check if the separators list has escaped characters
+            # if there are escaped characters, unescape them
+            self.separators = [unescape_string(x) for x in self.separators]
+
+        # Make sure chunk_size and chunk_overlap are ints
+        if self.chunk_size:
+            self.chunk_size: int = int(self.chunk_size)
+        if self.chunk_overlap:
+            self.chunk_overlap: int = int(self.chunk_overlap)
+        splitter = RecursiveCharacterTextSplitter(
+            separators=self.separators,
+            chunk_size=self.chunk_size,
+            chunk_overlap=self.chunk_overlap,
+        )
+        documents = []
+        if not isinstance(self.data_input, list):
+            self.data_input: list[Data] = [self.data_input]
+        for _input in self.data_input:
+            if isinstance(_input, Data):
+                documents.append(_input.to_lc_document())
+            else:
+                documents.append(_input)
+        docs = splitter.split_documents(documents)
+        data = self.to_data(docs)
+        self.repr_value = build_loader_repr_from_data(data)
+        return data
diff --git a/src/backend/base/langflow/components/textsplitters/__init__.py b/src/backend/base/langflow/components/textsplitters/__init__.py
new file mode 100644
index 00000000000..eb2d6af1320
--- /dev/null
+++ b/src/backend/base/langflow/components/textsplitters/__init__.py
@@ -0,0 +1,9 @@
+from .CharacterTextSplitter import CharacterTextSplitterComponent
+from .LanguageRecursiveTextSplitter import LanguageRecursiveTextSplitterComponent
+from .RecursiveCharacterTextSplitter import RecursiveCharacterTextSplitterComponent
+
+__all__ = [
+    "CharacterTextSplitterComponent",
+    "LanguageRecursiveTextSplitterComponent",
+    "RecursiveCharacterTextSplitterComponent",
+]
diff --git a/src/backend/base/langflow/components/toolkits/JsonToolkit.py b/src/backend/base/langflow/components/toolkits/JsonToolkit.py
new file mode 100644
index 00000000000..09a613336a5
--- /dev/null
+++ b/src/backend/base/langflow/components/toolkits/JsonToolkit.py
@@ -0,0 +1,29 @@
+from pathlib import Path
+
+import yaml
+from langchain_community.agent_toolkits.json.toolkit import JsonToolkit
+from langchain_community.tools.json.tool import JsonSpec
+
+from langflow.custom import CustomComponent
+
+
+class JsonToolkitComponent(CustomComponent):
+    display_name = "JsonToolkit"
+    description = "Toolkit for interacting with a JSON spec."
+
+    def build_config(self):
+        return {
+            "path": {
+                "display_name": "Path",
+                "field_type": "file",
+                "file_types": ["json", "yaml", "yml"],
+            },
+        }
+
+    def build(self, path: str) -> JsonToolkit:
+        if path.endswith("yaml") or path.endswith("yml"):
+            yaml_dict = yaml.load(open(path, "r"), Loader=yaml.FullLoader)
+            spec = JsonSpec(dict_=yaml_dict)
+        else:
+            spec = JsonSpec.from_file(Path(path))
+        return JsonToolkit(spec=spec)
diff --git a/src/backend/langflow/components/toolkits/Metaphor.py b/src/backend/base/langflow/components/toolkits/Metaphor.py
similarity index 90%
rename from src/backend/langflow/components/toolkits/Metaphor.py
rename to src/backend/base/langflow/components/toolkits/Metaphor.py
index 0f9f233342f..9ebd4f7713d 100644
--- a/src/backend/langflow/components/toolkits/Metaphor.py
+++ b/src/backend/base/langflow/components/toolkits/Metaphor.py
@@ -1,11 +1,10 @@
 from typing import List, Union
 
-from langchain.agents import tool
-from langchain.agents.agent_toolkits.base import BaseToolkit
-from langchain.tools import Tool
+from langchain_community.agent_toolkits.base import BaseToolkit
+from langchain_core.tools import Tool, tool
 from metaphor_python import Metaphor  # type: ignore
 
-from langflow import CustomComponent
+from langflow.custom import CustomComponent
 
 
 class MetaphorToolkit(CustomComponent):
diff --git a/src/backend/base/langflow/components/toolkits/OpenAPIToolkit.py b/src/backend/base/langflow/components/toolkits/OpenAPIToolkit.py
new file mode 100644
index 00000000000..0639dae0ca5
--- /dev/null
+++ b/src/backend/base/langflow/components/toolkits/OpenAPIToolkit.py
@@ -0,0 +1,34 @@
+from pathlib import Path
+
+import yaml
+from langchain_community.agent_toolkits.openapi.toolkit import BaseToolkit, OpenAPIToolkit
+from langchain_community.tools.json.tool import JsonSpec
+from langchain_community.utilities.requests import TextRequestsWrapper
+
+from langflow.custom import CustomComponent
+from langflow.field_typing import LanguageModel
+
+
+class OpenAPIToolkitComponent(CustomComponent):
+    display_name = "OpenAPIToolkit"
+    description = "Toolkit for interacting with an OpenAPI API."
+
+    def build_config(self):
+        return {
+            "json_agent": {"display_name": "JSON Agent"},
+            "requests_wrapper": {"display_name": "Text Requests Wrapper"},
+        }
+
+    def build(self, llm: LanguageModel, path: str, allow_dangerous_requests: bool = False) -> BaseToolkit:
+        if path.endswith("yaml") or path.endswith("yml"):
+            yaml_dict = yaml.load(open(path, "r"), Loader=yaml.FullLoader)
+            spec = JsonSpec(dict_=yaml_dict)
+        else:
+            spec = JsonSpec.from_file(Path(path))
+        requests_wrapper = TextRequestsWrapper()
+        return OpenAPIToolkit.from_llm(
+            llm=llm,
+            json_spec=spec,
+            requests_wrapper=requests_wrapper,
+            allow_dangerous_requests=allow_dangerous_requests,
+        )
diff --git a/src/backend/langflow/components/toolkits/VectorStoreInfo.py b/src/backend/base/langflow/components/toolkits/VectorStoreInfo.py
similarity index 79%
rename from src/backend/langflow/components/toolkits/VectorStoreInfo.py
rename to src/backend/base/langflow/components/toolkits/VectorStoreInfo.py
index ec2323bfd97..60bd6598ece 100644
--- a/src/backend/langflow/components/toolkits/VectorStoreInfo.py
+++ b/src/backend/base/langflow/components/toolkits/VectorStoreInfo.py
@@ -1,9 +1,7 @@
-from typing import Callable, Union
-
 from langchain.agents.agent_toolkits.vectorstore.toolkit import VectorStoreInfo
-from langchain_community.vectorstores import VectorStore
+from langchain_core.vectorstores import VectorStore
 
-from langflow import CustomComponent
+from langflow.custom import CustomComponent
 
 
 class VectorStoreInfoComponent(CustomComponent):
@@ -22,5 +20,5 @@ def build(
         vectorstore: VectorStore,
         description: str,
         name: str,
-    ) -> Union[VectorStoreInfo, Callable]:
+    ) -> VectorStoreInfo:
         return VectorStoreInfo(vectorstore=vectorstore, description=description, name=name)
diff --git a/src/backend/base/langflow/components/toolkits/VectorStoreRouterToolkit.py b/src/backend/base/langflow/components/toolkits/VectorStoreRouterToolkit.py
new file mode 100644
index 00000000000..6e5b5d6137f
--- /dev/null
+++ b/src/backend/base/langflow/components/toolkits/VectorStoreRouterToolkit.py
@@ -0,0 +1,22 @@
+from typing import List, Union
+
+from langchain.agents.agent_toolkits.vectorstore.toolkit import VectorStoreInfo, VectorStoreRouterToolkit
+
+from langflow.custom import CustomComponent
+from langflow.field_typing import LanguageModel, Tool
+
+
+class VectorStoreRouterToolkitComponent(CustomComponent):
+    display_name = "VectorStoreRouterToolkit"
+    description = "Toolkit for routing between Vector Stores."
+
+    def build_config(self):
+        return {
+            "vectorstores": {"display_name": "Vector Stores"},
+            "llm": {"display_name": "LLM"},
+        }
+
+    def build(self, vectorstores: List[VectorStoreInfo], llm: LanguageModel) -> Union[Tool, VectorStoreRouterToolkit]:
+        print("vectorstores", vectorstores)
+        print("llm", llm)
+        return VectorStoreRouterToolkit(vectorstores=vectorstores, llm=llm)
diff --git a/src/backend/base/langflow/components/toolkits/VectorStoreToolkit.py b/src/backend/base/langflow/components/toolkits/VectorStoreToolkit.py
new file mode 100644
index 00000000000..fc63bb66f14
--- /dev/null
+++ b/src/backend/base/langflow/components/toolkits/VectorStoreToolkit.py
@@ -0,0 +1,24 @@
+from typing import Union
+
+from langchain.agents.agent_toolkits.vectorstore.toolkit import VectorStoreInfo, VectorStoreToolkit
+
+from langflow.custom import CustomComponent
+from langflow.field_typing import LanguageModel, Tool
+
+
+class VectorStoreToolkitComponent(CustomComponent):
+    display_name = "VectorStoreToolkit"
+    description = "Toolkit for interacting with a Vector Store."
+
+    def build_config(self):
+        return {
+            "vectorstore_info": {"display_name": "Vector Store Info"},
+            "llm": {"display_name": "LLM"},
+        }
+
+    def build(
+        self,
+        vectorstore_info: VectorStoreInfo,
+        llm: LanguageModel,
+    ) -> Union[Tool, VectorStoreToolkit]:
+        return VectorStoreToolkit(vectorstore_info=vectorstore_info, llm=llm)
diff --git a/src/backend/base/langflow/components/toolkits/__init__.py b/src/backend/base/langflow/components/toolkits/__init__.py
new file mode 100644
index 00000000000..189b4315995
--- /dev/null
+++ b/src/backend/base/langflow/components/toolkits/__init__.py
@@ -0,0 +1,15 @@
+from .JsonToolkit import JsonToolkitComponent
+from .Metaphor import MetaphorToolkit
+from .OpenAPIToolkit import OpenAPIToolkitComponent
+from .VectorStoreInfo import VectorStoreInfoComponent
+from .VectorStoreRouterToolkit import VectorStoreRouterToolkitComponent
+from .VectorStoreToolkit import VectorStoreToolkitComponent
+
+__all__ = [
+    "JsonToolkitComponent",
+    "MetaphorToolkit",
+    "OpenAPIToolkitComponent",
+    "VectorStoreInfoComponent",
+    "VectorStoreRouterToolkitComponent",
+    "VectorStoreToolkitComponent",
+]
diff --git a/src/backend/base/langflow/components/tools/PythonCodeStructuredTool.py b/src/backend/base/langflow/components/tools/PythonCodeStructuredTool.py
new file mode 100644
index 00000000000..84392cbdb4a
--- /dev/null
+++ b/src/backend/base/langflow/components/tools/PythonCodeStructuredTool.py
@@ -0,0 +1,94 @@
+import ast
+from typing import Any, Dict, List, Optional
+
+from langchain.agents import Tool
+from langchain.tools import StructuredTool
+
+from langflow.custom import CustomComponent
+from langflow.schema.dotdict import dotdict
+
+
+class PythonCodeStructuredTool(CustomComponent):
+    display_name = "PythonCodeTool"
+    description = "structuredtool dataclass code to tool"
+    documentation = "https://python.langchain.com/docs/modules/tools/custom_tools/#structuredtool-dataclass"
+    icon = "🐍"
+    field_order = ["name", "description", "tool_code", "return_direct", "tool_function", "tool_class"]
+
+    def build_config(self) -> Dict[str, Any]:
+        return {
+            "tool_code": {
+                "display_name": "Tool Code",
+                "info": "Enter the dataclass code.",
+                "placeholder": "def my_function(args):\n    pass",
+                "multiline": True,
+                "refresh_button": True,
+                "field_type": "code",
+            },
+            "name": {
+                "display_name": "Tool Name",
+                "info": "Enter the name of the tool.",
+            },
+            "description": {
+                "display_name": "Description",
+                "info": "Provide a brief description of what the tool does.",
+            },
+            "return_direct": {
+                "display_name": "Return Directly",
+                "info": "Should the tool return the function output directly?",
+            },
+            "tool_function": {
+                "display_name": "Tool Function",
+                "info": "Select the function for additional expressions.",
+                "options": [],
+                "refresh_button": True,
+            },
+            "tool_class": {
+                "display_name": "Tool Class",
+                "info": "Select the class for additional expressions.",
+                "options": [],
+                "refresh_button": True,
+                "required": False,
+            },
+        }
+
+    def parse_source_name(self, code: str) -> Dict:
+        parsed_code = ast.parse(code)
+        class_names = [node.name for node in parsed_code.body if isinstance(node, ast.ClassDef)]
+        function_names = [node.name for node in parsed_code.body if isinstance(node, ast.FunctionDef)]
+        return {"class": class_names, "function": function_names}
+
+    def update_build_config(self, build_config: dotdict, field_value: Any, field_name: str | None = None) -> dotdict:
+        if field_name == "tool_code" or field_name == "tool_function" or field_name == "tool_class":
+            try:
+                names = self.parse_source_name(build_config.tool_code.value)
+                build_config.tool_class.options = names["class"]
+                build_config.tool_function.options = names["function"]
+            except Exception as e:
+                self.status = f"Failed to extract class names: {str(e)}"
+                build_config.tool_class.options = ["Failed to parse", str(e)]
+                build_config.tool_function.options = []
+        return build_config
+
+    async def build(
+        self,
+        tool_code: str,
+        name: str,
+        description: str,
+        tool_function: List[str],
+        return_direct: bool,
+        tool_class: Optional[List[str]] = None,
+    ) -> Tool:
+        local_namespace = {}  # type: ignore
+        exec(tool_code, globals(), local_namespace)
+
+        func = local_namespace[tool_function]
+        _class = None
+
+        if tool_class:
+            _class = local_namespace[tool_class]
+
+        tool = StructuredTool.from_function(
+            func=func, args_schema=_class, name=name, description=description, return_direct=return_direct
+        )
+        return tool  # type: ignore
diff --git a/src/backend/base/langflow/components/tools/PythonREPLTool.py b/src/backend/base/langflow/components/tools/PythonREPLTool.py
new file mode 100644
index 00000000000..914b6b965a0
--- /dev/null
+++ b/src/backend/base/langflow/components/tools/PythonREPLTool.py
@@ -0,0 +1,67 @@
+import importlib
+from langchain_experimental.utilities import PythonREPL
+
+from langflow.base.tools.base import build_status_from_tool
+from langflow.custom import CustomComponent
+from langchain_core.tools import Tool
+
+
+class PythonREPLToolComponent(CustomComponent):
+    display_name = "Python REPL Tool"
+    description = "A tool for running Python code in a REPL environment."
+
+    def build_config(self):
+        return {
+            "name": {"display_name": "Name", "info": "The name of the tool."},
+            "description": {"display_name": "Description", "info": "A description of the tool."},
+            "global_imports": {
+                "display_name": "Global Imports",
+                "info": "A list of modules to import globally, e.g. ['math', 'numpy'].",
+            },
+        }
+
+    def get_globals(self, globals: list[str]) -> dict:
+        """
+        Retrieves the global variables from the specified modules.
+
+        Args:
+            globals (list[str]): A list of module names.
+
+        Returns:
+            dict: A dictionary containing the global variables from the specified modules.
+        """
+        global_dict = {}
+        for module in globals:
+            try:
+                imported_module = importlib.import_module(module)
+                global_dict[imported_module.__name__] = imported_module
+            except ImportError:
+                raise ImportError(f"Could not import module {module}")
+        return global_dict
+
+    def build(
+        self,
+        name: str = "python_repl",
+        description: str = "A Python shell. Use this to execute python commands. Input should be a valid python command. If you want to see the output of a value, you should print it out with `print(...)`.",
+        global_imports: list[str] = ["math"],
+    ) -> Tool:
+        """
+        Builds a Python REPL tool.
+
+        Args:
+            name (str, optional): The name of the tool. Defaults to "python_repl".
+            description (str, optional): The description of the tool. Defaults to "A Python shell. Use this to execute python commands. Input should be a valid python command. If you want to see the output of a value, you should print it out with `print(...)`. ".
+            global_imports (list[str], optional): A list of global imports to be available in the Python REPL. Defaults to ["math"].
+
+        Returns:
+            Tool: The built Python REPL tool.
+        """
+        _globals = self.get_globals(global_imports)
+        python_repl = PythonREPL(_globals=_globals)
+        tool = Tool(
+            name=name,
+            description=description,
+            func=python_repl.run,
+        )
+        self.status = build_status_from_tool(tool)
+        return tool
diff --git a/src/backend/langflow/components/tools/RetrieverTool.py b/src/backend/base/langflow/components/tools/RetrieverTool.py
similarity index 95%
rename from src/backend/langflow/components/tools/RetrieverTool.py
rename to src/backend/base/langflow/components/tools/RetrieverTool.py
index 5a598dbe22f..28829321e0c 100644
--- a/src/backend/langflow/components/tools/RetrieverTool.py
+++ b/src/backend/base/langflow/components/tools/RetrieverTool.py
@@ -1,6 +1,6 @@
 from langchain.tools.retriever import create_retriever_tool
 
-from langflow import CustomComponent
+from langflow.custom import CustomComponent
 from langflow.field_typing import BaseRetriever, Tool
 
 
diff --git a/src/backend/base/langflow/components/tools/SearchAPITool.py b/src/backend/base/langflow/components/tools/SearchAPITool.py
new file mode 100644
index 00000000000..e0658c8c8d5
--- /dev/null
+++ b/src/backend/base/langflow/components/tools/SearchAPITool.py
@@ -0,0 +1,37 @@
+from langchain_community.tools.searchapi import SearchAPIRun
+from langchain_community.utilities.searchapi import SearchApiAPIWrapper
+
+from langflow.custom import CustomComponent
+from langflow.field_typing import Tool
+
+
+class SearchApiToolComponent(CustomComponent):
+    display_name: str = "SearchApi Tool"
+    description: str = "Real-time search engine results API."
+    documentation: str = "https://www.searchapi.io/docs/google"
+    field_config = {
+        "engine": {
+            "display_name": "Engine",
+            "field_type": "str",
+            "info": "The search engine to use.",
+        },
+        "api_key": {
+            "display_name": "API Key",
+            "field_type": "str",
+            "required": True,
+            "password": True,
+            "info": "The API key to use SearchApi.",
+        },
+    }
+
+    def build(
+        self,
+        engine: str,
+        api_key: str,
+    ) -> Tool:
+        search_api_wrapper = SearchApiAPIWrapper(engine=engine, searchapi_api_key=api_key)
+
+        tool = SearchAPIRun(api_wrapper=search_api_wrapper)
+
+        self.status = tool
+        return tool  # type: ignore
diff --git a/src/backend/base/langflow/components/tools/SearchApi.py b/src/backend/base/langflow/components/tools/SearchApi.py
new file mode 100644
index 00000000000..5dfd5525019
--- /dev/null
+++ b/src/backend/base/langflow/components/tools/SearchApi.py
@@ -0,0 +1,53 @@
+from typing import Optional
+
+from langchain_community.utilities.searchapi import SearchApiAPIWrapper
+
+from langflow.custom import CustomComponent
+from langflow.schema import Data
+from langflow.services.database.models.base import orjson_dumps
+
+
+class SearchApi(CustomComponent):
+    display_name: str = "SearchApi"
+    description: str = "Real-time search engine results API."
+    output_types: list[str] = ["Document"]
+    documentation: str = "https://www.searchapi.io/docs/google"
+    field_config = {
+        "engine": {
+            "display_name": "Engine",
+            "field_type": "str",
+            "info": "The search engine to use.",
+        },
+        "params": {
+            "display_name": "Parameters",
+            "info": "The parameters to send with the request.",
+        },
+        "code": {"show": False},
+        "api_key": {
+            "display_name": "API Key",
+            "field_type": "str",
+            "required": True,
+            "password": True,
+            "info": "The API key to use SearchApi.",
+        },
+    }
+
+    def build(
+        self,
+        engine: str,
+        api_key: str,
+        params: Optional[dict] = None,
+    ) -> Data:
+        if params is None:
+            params = {}
+
+        search_api_wrapper = SearchApiAPIWrapper(engine=engine, searchapi_api_key=api_key)
+
+        q = params.pop("q", "SearchApi Langflow")
+        results = search_api_wrapper.results(q, **params)
+
+        result = orjson_dumps(results, indent_2=False)
+
+        record = Data(data=result)
+        self.status = record
+        return record
diff --git a/src/backend/base/langflow/components/tools/__init__.py b/src/backend/base/langflow/components/tools/__init__.py
new file mode 100644
index 00000000000..3d64a723cc3
--- /dev/null
+++ b/src/backend/base/langflow/components/tools/__init__.py
@@ -0,0 +1,7 @@
+from .PythonREPLTool import PythonREPLToolComponent
+from .RetrieverTool import RetrieverToolComponent
+from .SearchApi import SearchApi
+from .SearchAPITool import SearchApiToolComponent
+
+
+__all__ = ["RetrieverToolComponent", "SearchApiToolComponent", "SearchApi", "PythonREPLToolComponent"]
diff --git a/src/backend/base/langflow/components/vectorstores/AstraDB.py b/src/backend/base/langflow/components/vectorstores/AstraDB.py
new file mode 100644
index 00000000000..58e1d19ef88
--- /dev/null
+++ b/src/backend/base/langflow/components/vectorstores/AstraDB.py
@@ -0,0 +1,261 @@
+from loguru import logger
+
+from langflow.base.vectorstores.model import LCVectorStoreComponent
+from langflow.io import (
+    BoolInput,
+    DropdownInput,
+    HandleInput,
+    IntInput,
+    MultilineInput,
+    SecretStrInput,
+    StrInput,
+    DataInput,
+)
+from langflow.schema import Data
+
+
+class AstraVectorStoreComponent(LCVectorStoreComponent):
+    display_name: str = "Astra DB"
+    description: str = "Implementation of Vector Store using Astra DB with search capabilities"
+    documentation: str = "https://python.langchain.com/docs/integrations/vectorstores/astradb"
+    icon: str = "AstraDB"
+
+    inputs = [
+        StrInput(
+            name="collection_name",
+            display_name="Collection Name",
+            info="The name of the collection within Astra DB where the vectors will be stored.",
+        ),
+        SecretStrInput(
+            name="token",
+            display_name="Astra DB Application Token",
+            info="Authentication token for accessing Astra DB.",
+            value="ASTRA_DB_APPLICATION_TOKEN",
+        ),
+        SecretStrInput(
+            name="api_endpoint",
+            display_name="API Endpoint",
+            info="API endpoint URL for the Astra DB service.",
+            value="ASTRA_DB_API_ENDPOINT",
+        ),
+        MultilineInput(
+            name="search_input",
+            display_name="Search Input",
+        ),
+        DataInput(
+            name="ingest_data",
+            display_name="Ingest Data",
+            is_list=True,
+        ),
+        StrInput(
+            name="namespace",
+            display_name="Namespace",
+            info="Optional namespace within Astra DB to use for the collection.",
+            advanced=True,
+        ),
+        DropdownInput(
+            name="metric",
+            display_name="Metric",
+            info="Optional distance metric for vector comparisons in the vector store.",
+            options=["cosine", "dot_product", "euclidean"],
+            advanced=True,
+        ),
+        IntInput(
+            name="batch_size",
+            display_name="Batch Size",
+            info="Optional number of data to process in a single batch.",
+            advanced=True,
+        ),
+        IntInput(
+            name="bulk_insert_batch_concurrency",
+            display_name="Bulk Insert Batch Concurrency",
+            info="Optional concurrency level for bulk insert operations.",
+            advanced=True,
+        ),
+        IntInput(
+            name="bulk_insert_overwrite_concurrency",
+            display_name="Bulk Insert Overwrite Concurrency",
+            info="Optional concurrency level for bulk insert operations that overwrite existing data.",
+            advanced=True,
+        ),
+        IntInput(
+            name="bulk_delete_concurrency",
+            display_name="Bulk Delete Concurrency",
+            info="Optional concurrency level for bulk delete operations.",
+            advanced=True,
+        ),
+        DropdownInput(
+            name="setup_mode",
+            display_name="Setup Mode",
+            info="Configuration mode for setting up the vector store, with options like 'Sync', 'Async', or 'Off'.",
+            options=["Sync", "Async", "Off"],
+            advanced=True,
+            value="Sync",
+        ),
+        BoolInput(
+            name="pre_delete_collection",
+            display_name="Pre Delete Collection",
+            info="Boolean flag to determine whether to delete the collection before creating a new one.",
+            advanced=True,
+        ),
+        StrInput(
+            name="metadata_indexing_include",
+            display_name="Metadata Indexing Include",
+            info="Optional list of metadata fields to include in the indexing.",
+            advanced=True,
+        ),
+        HandleInput(
+            name="embedding",
+            display_name="Embedding or Astra Vectorize",
+            input_types=["Embeddings", "dict"],
+        ),
+        StrInput(
+            name="metadata_indexing_exclude",
+            display_name="Metadata Indexing Exclude",
+            info="Optional list of metadata fields to exclude from the indexing.",
+            advanced=True,
+        ),
+        StrInput(
+            name="collection_indexing_policy",
+            display_name="Collection Indexing Policy",
+            info="Optional dictionary defining the indexing policy for the collection.",
+            advanced=True,
+        ),
+        DropdownInput(
+            name="search_type",
+            display_name="Search Type",
+            options=["Similarity", "MMR"],
+            value="Similarity",
+            advanced=True,
+        ),
+        IntInput(
+            name="number_of_results",
+            display_name="Number of Results",
+            info="Number of results to return.",
+            advanced=True,
+            value=4,
+        ),
+    ]
+
+    def build_vector_store(self):
+        try:
+            from langchain_astradb import AstraDBVectorStore
+            from langchain_astradb.utils.astradb import SetupMode
+        except ImportError:
+            raise ImportError(
+                "Could not import langchain Astra DB integration package. "
+                "Please install it with `pip install langchain-astradb`."
+            )
+
+        try:
+            if not self.setup_mode:
+                self.setup_mode = self._inputs["setup_mode"].options[0]
+
+            setup_mode_value = SetupMode[self.setup_mode.upper()]
+        except KeyError:
+            raise ValueError(f"Invalid setup mode: {self.setup_mode}")
+
+        if not isinstance(self.embedding, dict):
+            embedding_dict = {"embedding": self.embedding}
+        else:
+            from astrapy.info import CollectionVectorServiceOptions
+
+            dict_options = self.embedding.get("collection_vector_service_options", {})
+            dict_options["authentication"] = {
+                k: v for k, v in dict_options.get("authentication", {}).items() if k and v
+            }
+            dict_options["parameters"] = {k: v for k, v in dict_options.get("parameters", {}).items() if k and v}
+            embedding_dict = {
+                "collection_vector_service_options": CollectionVectorServiceOptions.from_dict(dict_options),
+                "collection_embedding_api_key": self.embedding.get("collection_embedding_api_key"),
+            }
+        vector_store_kwargs = {
+            **embedding_dict,
+            "collection_name": self.collection_name,
+            "token": self.token,
+            "api_endpoint": self.api_endpoint,
+            "namespace": self.namespace or None,
+            "metric": self.metric or None,
+            "batch_size": self.batch_size or None,
+            "bulk_insert_batch_concurrency": self.bulk_insert_batch_concurrency or None,
+            "bulk_insert_overwrite_concurrency": self.bulk_insert_overwrite_concurrency or None,
+            "bulk_delete_concurrency": self.bulk_delete_concurrency or None,
+            "setup_mode": setup_mode_value,
+            "pre_delete_collection": self.pre_delete_collection or False,
+        }
+
+        if self.metadata_indexing_include:
+            vector_store_kwargs["metadata_indexing_include"] = self.metadata_indexing_include
+        elif self.metadata_indexing_exclude:
+            vector_store_kwargs["metadata_indexing_exclude"] = self.metadata_indexing_exclude
+        elif self.collection_indexing_policy:
+            vector_store_kwargs["collection_indexing_policy"] = self.collection_indexing_policy
+
+        try:
+            vector_store = AstraDBVectorStore(**vector_store_kwargs)
+        except Exception as e:
+            raise ValueError(f"Error initializing AstraDBVectorStore: {str(e)}") from e
+
+        self.status = self._astradb_collection_to_data(vector_store.collection)
+        return vector_store
+
+    def _add_documents_to_vector_store(self, vector_store):
+        documents = []
+        for _input in self.ingest_data or []:
+            if isinstance(_input, Data):
+                documents.append(_input.to_lc_document())
+            else:
+                raise ValueError("Vector Store Inputs must be Data objects.")
+
+        if documents and self.embedding is not None:
+            logger.debug(f"Adding {len(documents)} documents to the Vector Store.")
+            try:
+                vector_store.add_documents(documents)
+            except Exception as e:
+                raise ValueError(f"Error adding documents to AstraDBVectorStore: {str(e)}") from e
+        else:
+            logger.debug("No documents to add to the Vector Store.")
+
+    def search_documents(self):
+        vector_store = self.build_vector_store()
+
+        logger.debug(f"Search input: {self.search_input}")
+        logger.debug(f"Search type: {self.search_type}")
+        logger.debug(f"Number of results: {self.number_of_results}")
+
+        if self.search_input and isinstance(self.search_input, str) and self.search_input.strip():
+            try:
+                if self.search_type == "Similarity":
+                    docs = vector_store.similarity_search(
+                        query=self.search_input,
+                        k=self.number_of_results,
+                    )
+                elif self.search_type == "MMR":
+                    docs = vector_store.max_marginal_relevance_search(
+                        query=self.search_input,
+                        k=self.number_of_results,
+                    )
+                else:
+                    raise ValueError(f"Invalid search type: {self.search_type}")
+            except Exception as e:
+                raise ValueError(f"Error performing search in AstraDBVectorStore: {str(e)}") from e
+
+            logger.debug(f"Retrieved documents: {len(docs)}")
+
+            data = [Data.from_document(doc) for doc in docs]
+            logger.debug(f"Converted documents to data: {len(data)}")
+            self.status = data
+            return data
+        else:
+            logger.debug("No search input provided. Skipping search.")
+            return []
+
+    def _astradb_collection_to_data(self, collection):
+        data = []
+        data_dict = collection.find()
+        if data_dict and "data" in data_dict:
+            data_dict = data_dict["data"].get("documents", [])
+
+        for item in data_dict:
+            data.append(Data(content=item["content"]))
+        return data
diff --git a/src/backend/base/langflow/components/vectorstores/Cassandra.py b/src/backend/base/langflow/components/vectorstores/Cassandra.py
new file mode 100644
index 00000000000..0e4e9eb84b0
--- /dev/null
+++ b/src/backend/base/langflow/components/vectorstores/Cassandra.py
@@ -0,0 +1,156 @@
+from typing import List
+
+from langchain_community.vectorstores import Cassandra
+
+from langflow.base.vectorstores.model import LCVectorStoreComponent
+from langflow.helpers.data import docs_to_data
+from langflow.io import (
+    DataInput,
+    DropdownInput,
+    HandleInput,
+    IntInput,
+    MessageTextInput,
+    MultilineInput,
+    SecretStrInput,
+)
+from langflow.schema import Data
+
+
+class CassandraVectorStoreComponent(LCVectorStoreComponent):
+    display_name = "Cassandra"
+    description = "Cassandra Vector Store with search capabilities"
+    documentation = "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/cassandra"
+    icon = "Cassandra"
+
+    inputs = [
+        SecretStrInput(
+            name="token",
+            display_name="Token",
+            info="Authentication token for accessing Cassandra on Astra DB.",
+            required=True,
+        ),
+        MessageTextInput(name="database_id", display_name="Database ID", info="The Astra database ID.", required=True),
+        MessageTextInput(
+            name="table_name",
+            display_name="Table Name",
+            info="The name of the table where vectors will be stored.",
+            required=True,
+        ),
+        MessageTextInput(
+            name="keyspace",
+            display_name="Keyspace",
+            info="Optional key space within Astra DB. The keyspace should already be created.",
+            advanced=False,
+        ),
+        IntInput(
+            name="ttl_seconds",
+            display_name="TTL Seconds",
+            info="Optional time-to-live for the added texts.",
+            advanced=True,
+        ),
+        IntInput(
+            name="batch_size",
+            display_name="Batch Size",
+            info="Optional number of data to process in a single batch.",
+            value=16,
+            advanced=True,
+        ),
+        MessageTextInput(
+            name="body_index_options",
+            display_name="Body Index Options",
+            info="Optional options used to create the body index.",
+            advanced=True,
+        ),
+        DropdownInput(
+            name="setup_mode",
+            display_name="Setup Mode",
+            info="Configuration mode for setting up the Cassandra table, with options like 'Sync', 'Async', or 'Off'.",
+            options=["Sync", "Async", "Off"],
+            value="Sync",
+            advanced=True,
+        ),
+        MultilineInput(name="search_query", display_name="Search Query"),
+        DataInput(
+            name="ingest_data",
+            display_name="Ingest Data",
+            is_list=True,
+        ),
+        HandleInput(name="embedding", display_name="Embedding", input_types=["Embeddings"]),
+        IntInput(
+            name="number_of_results",
+            display_name="Number of Results",
+            info="Number of results to return.",
+            value=4,
+            advanced=True,
+        ),
+    ]
+
+    def build_vector_store(self) -> Cassandra:
+        return self._build_cassandra()
+
+    def _build_cassandra(self) -> Cassandra:
+        try:
+            import cassio
+        except ImportError:
+            raise ImportError(
+                "Could not import cassio integration package. " "Please install it with `pip install cassio`."
+            )
+
+        cassio.init(
+            database_id=self.database_id,
+            token=self.token,
+        )
+
+        documents = []
+
+        for _input in self.ingest_data or []:
+            if isinstance(_input, Data):
+                documents.append(_input.to_lc_document())
+            else:
+                documents.append(_input)
+
+        if documents:
+            table = Cassandra.from_documents(
+                documents=documents,
+                embedding=self.embedding,
+                table_name=self.table_name,
+                keyspace=self.keyspace,
+                ttl_seconds=self.ttl_seconds,
+                batch_size=self.batch_size,
+                body_index_options=self.body_index_options,
+            )
+
+        else:
+            table = Cassandra(
+                embedding=self.embedding,
+                table_name=self.table_name,
+                keyspace=self.keyspace,
+                ttl_seconds=self.ttl_seconds,
+                body_index_options=self.body_index_options,
+                setup_mode=self.setup_mode,
+            )
+
+        return table
+
+    def search_documents(self) -> List[Data]:
+        vector_store = self._build_cassandra()
+
+        if self.search_query and isinstance(self.search_query, str) and self.search_query.strip():
+            try:
+                docs = vector_store.similarity_search(
+                    query=self.search_query,
+                    k=self.number_of_results,
+                )
+            except KeyError as e:
+                if "content" in str(e):
+                    raise ValueError(
+                        "You should ingest data through Langflow (or LangChain) to query it in Langflow. Your collection does not contain a field name 'content'."
+                    )
+                else:
+                    raise e
+
+            data = docs_to_data(docs)
+            self.status = data
+            return data
+        else:
+            return []
diff --git a/src/backend/base/langflow/components/vectorstores/Chroma.py b/src/backend/base/langflow/components/vectorstores/Chroma.py
new file mode 100644
index 00000000000..ae2964ea6eb
--- /dev/null
+++ b/src/backend/base/langflow/components/vectorstores/Chroma.py
@@ -0,0 +1,170 @@
+from copy import deepcopy
+from typing import TYPE_CHECKING
+
+from chromadb.config import Settings
+from langchain_chroma.vectorstores import Chroma
+from loguru import logger
+
+from langflow.base.vectorstores.model import LCVectorStoreComponent
+from langflow.base.vectorstores.utils import chroma_collection_to_data
+from langflow.io import BoolInput, DataInput, DropdownInput, HandleInput, IntInput, StrInput, MultilineInput
+from langflow.schema import Data
+
+if TYPE_CHECKING:
+    from langchain_chroma import Chroma
+
+
+class ChromaVectorStoreComponent(LCVectorStoreComponent):
+    """
+    Chroma Vector Store with search capabilities
+    """
+
+    display_name: str = "Chroma DB"
+    description: str = "Chroma Vector Store with search capabilities"
+    documentation = "https://python.langchain.com/docs/integrations/vectorstores/chroma"
+    icon = "Chroma"
+
+    inputs = [
+        StrInput(
+            name="collection_name",
+            display_name="Collection Name",
+            value="langflow",
+        ),
+        StrInput(
+            name="persist_directory",
+            display_name="Persist Directory",
+        ),
+        MultilineInput(
+            name="search_query",
+            display_name="Search Query",
+        ),
+        DataInput(
+            name="ingest_data",
+            display_name="Ingest Data",
+            is_list=True,
+        ),
+        HandleInput(name="embedding", display_name="Embedding", input_types=["Embeddings"]),
+        StrInput(
+            name="chroma_server_cors_allow_origins",
+            display_name="Server CORS Allow Origins",
+            advanced=True,
+        ),
+        StrInput(
+            name="chroma_server_host",
+            display_name="Server Host",
+            advanced=True,
+        ),
+        IntInput(
+            name="chroma_server_http_port",
+            display_name="Server HTTP Port",
+            advanced=True,
+        ),
+        IntInput(
+            name="chroma_server_grpc_port",
+            display_name="Server gRPC Port",
+            advanced=True,
+        ),
+        BoolInput(
+            name="chroma_server_ssl_enabled",
+            display_name="Server SSL Enabled",
+            advanced=True,
+        ),
+        BoolInput(
+            name="allow_duplicates",
+            display_name="Allow Duplicates",
+            advanced=True,
+            info="If false, will not add documents that are already in the Vector Store.",
+        ),
+        DropdownInput(
+            name="search_type",
+            display_name="Search Type",
+            options=["Similarity", "MMR"],
+            value="Similarity",
+            advanced=True,
+        ),
+        IntInput(
+            name="number_of_results",
+            display_name="Number of Results",
+            info="Number of results to return.",
+            advanced=True,
+            value=10,
+        ),
+        IntInput(
+            name="limit",
+            display_name="Limit",
+            advanced=True,
+            info="Limit the number of records to compare when Allow Duplicates is False.",
+        ),
+    ]
+
+    def build_vector_store(self) -> Chroma:
+        """
+        Builds the Chroma object.
+        """
+        try:
+            from chromadb import Client
+            from langchain_chroma import Chroma
+        except ImportError:
+            raise ImportError(
+                "Could not import Chroma integration package. " "Please install it with `pip install langchain-chroma`."
+            )
+        # Chroma settings
+        chroma_settings = None
+        client = None
+        if self.chroma_server_host:
+            chroma_settings = Settings(
+                chroma_server_cors_allow_origins=self.chroma_server_cors_allow_origins or [],
+                chroma_server_host=self.chroma_server_host,
+                chroma_server_http_port=self.chroma_server_http_port or None,
+                chroma_server_grpc_port=self.chroma_server_grpc_port or None,
+                chroma_server_ssl_enabled=self.chroma_server_ssl_enabled,
+            )
+            client = Client(settings=chroma_settings)
+
+        # Check persist_directory and expand it if it is a relative path
+        if self.persist_directory is not None:
+            persist_directory = self.resolve_path(self.persist_directory)
+        else:
+            persist_directory = None
+
+        chroma = Chroma(
+            persist_directory=persist_directory,
+            client=client,
+            embedding_function=self.embedding,
+            collection_name=self.collection_name,
+        )
+
+        self._add_documents_to_vector_store(chroma)
+        self.status = chroma_collection_to_data(chroma.get(limit=self.limit))
+        return chroma
+
+    def _add_documents_to_vector_store(self, vector_store: "Chroma") -> None:
+        """
+        Adds documents to the Vector Store.
+        """
+        if not self.ingest_data:
+            self.status = ""
+            return
+
+        _stored_documents_without_id = []
+        if self.allow_duplicates:
+            stored_data = []
+        else:
+            stored_data = chroma_collection_to_data(vector_store.get(self.limit))
+            for value in deepcopy(stored_data):
+                del value.id
+                _stored_documents_without_id.append(value)
+
+        documents = []
+        for _input in self.ingest_data or []:
+            if isinstance(_input, Data):
+                if _input not in _stored_documents_without_id:
+                    documents.append(_input.to_lc_document())
+            else:
+                raise ValueError("Vector Store Inputs must be Data objects.")
+
+        if documents and self.embedding is not None:
+            logger.debug(f"Adding {len(documents)} documents to the Vector Store.")
+            vector_store.add_documents(documents)
+        else:
+            logger.debug("No documents to add to the Vector Store.")
diff --git a/src/backend/base/langflow/components/vectorstores/Couchbase.py b/src/backend/base/langflow/components/vectorstores/Couchbase.py
new file mode 100644
index 00000000000..a25fa0479c1
--- /dev/null
+++ b/src/backend/base/langflow/components/vectorstores/Couchbase.py
@@ -0,0 +1,109 @@
+from datetime import timedelta
+from typing import List
+
+from langchain_community.vectorstores import CouchbaseVectorStore
+
+from langflow.base.vectorstores.model import LCVectorStoreComponent
+from langflow.helpers.data import docs_to_data
+from langflow.io import HandleInput, IntInput, StrInput, SecretStrInput, DataInput, MultilineInput
+from langflow.schema import Data
+
+
+class CouchbaseVectorStoreComponent(LCVectorStoreComponent):
+    display_name = "Couchbase"
+    description = "Couchbase Vector Store with search capabilities"
+    documentation = "https://python.langchain.com/v0.1/docs/integrations/document_loaders/couchbase/"
+    icon = "Couchbase"
+
+    inputs = [
+        SecretStrInput(
+            name="couchbase_connection_string", display_name="Couchbase Cluster connection string", required=True
+        ),
+        StrInput(name="couchbase_username", display_name="Couchbase username", required=True),
+        SecretStrInput(name="couchbase_password", display_name="Couchbase password", required=True),
+        StrInput(name="bucket_name", display_name="Bucket Name", required=True),
+        StrInput(name="scope_name", display_name="Scope Name", required=True),
+        StrInput(name="collection_name", display_name="Collection Name", required=True),
+        StrInput(name="index_name", display_name="Index Name", required=True),
+        MultilineInput(name="search_query", display_name="Search Query"),
+        DataInput(
+            name="ingest_data",
+            display_name="Ingest Data",
+            is_list=True,
+        ),
+        HandleInput(name="embedding", display_name="Embedding", input_types=["Embeddings"]),
+        IntInput(
+            name="number_of_results",
+            display_name="Number of Results",
+            info="Number of results to return.",
+            value=4,
+            advanced=True,
+        ),
+    ]
+
+    def build_vector_store(self) -> CouchbaseVectorStore:
+        return self._build_couchbase()
+
+    def _build_couchbase(self) -> CouchbaseVectorStore:
+        try:
+            from couchbase.auth import PasswordAuthenticator  # type: ignore
+            from couchbase.cluster import Cluster  # type: ignore
+            from couchbase.options import ClusterOptions  # type: ignore
+        except ImportError as e:
+            raise ImportError(
+                "Failed to import Couchbase dependencies. Install it using `pip install langflow[couchbase] --pre`"
+            ) from e
+
+        try:
+            auth = PasswordAuthenticator(self.couchbase_username, self.couchbase_password)
+            options = ClusterOptions(auth)
+            cluster = Cluster(self.couchbase_connection_string, options)
+
+            cluster.wait_until_ready(timedelta(seconds=5))
+        except Exception as e:
+            raise ValueError(f"Failed to connect to Couchbase: {e}")
+
+        documents = []
+        for _input in self.ingest_data or []:
+            if isinstance(_input, Data):
+                documents.append(_input.to_lc_document())
+            else:
+                documents.append(_input)
+
+        if documents:
+            couchbase_vs = CouchbaseVectorStore.from_documents(
+                documents=documents,
+                cluster=cluster,
+                bucket_name=self.bucket_name,
+                scope_name=self.scope_name,
+                collection_name=self.collection_name,
+                embedding=self.embedding,
+                index_name=self.index_name,
+            )
+
+        else:
+            couchbase_vs = CouchbaseVectorStore(
+                cluster=cluster,
+                bucket_name=self.bucket_name,
+                scope_name=self.scope_name,
+                collection_name=self.collection_name,
+                embedding=self.embedding,
+                index_name=self.index_name,
+            )
+
+        return couchbase_vs
+
+    def search_documents(self) -> List[Data]:
+        vector_store = self._build_couchbase()
+
+        if self.search_query and isinstance(self.search_query, str) and self.search_query.strip():
+            docs = vector_store.similarity_search(
+                query=self.search_query,
+                k=self.number_of_results,
+            )
+
+            data = docs_to_data(docs)
+            self.status = data
+            return data
+        else:
+            return []
diff --git a/src/backend/base/langflow/components/vectorstores/FAISS.py b/src/backend/base/langflow/components/vectorstores/FAISS.py
new file mode 100644
index 00000000000..24b6e6a7665
--- /dev/null
+++ b/src/backend/base/langflow/components/vectorstores/FAISS.py
@@ -0,0 +1,115 @@
+from typing import List
+
+from langchain_community.vectorstores import FAISS
+from loguru import logger
+
+from langflow.base.vectorstores.model import LCVectorStoreComponent
+from langflow.helpers.data import docs_to_data
+from langflow.io import BoolInput, DataInput, HandleInput, IntInput, MultilineInput, StrInput
+from langflow.schema import Data
+
+
+class FaissVectorStoreComponent(LCVectorStoreComponent):
+    """
+    FAISS Vector Store with search capabilities
+    """
+
+    display_name: str = "FAISS"
+    description: str = "FAISS Vector Store with search capabilities"
+    documentation = "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/faiss"
+    icon = "FAISS"
+
+    inputs = [
+        StrInput(
+            name="index_name",
+            display_name="Index Name",
+            value="langflow_index",
+        ),
+        StrInput(
+            name="persist_directory",
+            display_name="Persist Directory",
+            info="Path to save the FAISS index. It will be relative to where Langflow is running.",
+        ),
+        MultilineInput(
+            name="search_query",
+            display_name="Search Query",
+        ),
+        DataInput(
+            name="ingest_data",
+            display_name="Ingest Data",
+            is_list=True,
+        ),
+        BoolInput(
+            name="allow_dangerous_deserialization",
+            display_name="Allow Dangerous Deserialization",
+            info="Set to True to allow loading pickle files from untrusted sources. Only enable this if you trust the source of the data.",
+            advanced=True,
+            value=True,
+        ),
+        HandleInput(name="embedding", display_name="Embedding", input_types=["Embeddings"]),
+        IntInput(
+            name="number_of_results",
+            display_name="Number of Results",
+            info="Number of results to return.",
+            advanced=True,
+            value=4,
+        ),
+    ]
+
+    def build_vector_store(self) -> FAISS:
+        """
+        Builds the FAISS object.
+        """
+        if not self.persist_directory:
+            raise ValueError("Folder path is required to save the FAISS index.")
+        path = self.resolve_path(self.persist_directory)
+
+        documents = []
+
+        for _input in self.ingest_data or []:
+            if isinstance(_input, Data):
+                documents.append(_input.to_lc_document())
+            else:
+                documents.append(_input)
+
+        faiss = FAISS.from_documents(documents=documents, embedding=self.embedding)
+        faiss.save_local(str(path), self.index_name)
+
+        return faiss
+
+    def search_documents(self) -> List[Data]:
+        """
+        Search for documents in the FAISS vector store.
+        """
+        if not self.persist_directory:
+            raise ValueError("Folder path is required to load the FAISS index.")
+        path = self.resolve_path(self.persist_directory)
+
+        vector_store = FAISS.load_local(
+            folder_path=path,
+            embeddings=self.embedding,
+            index_name=self.index_name,
+            allow_dangerous_deserialization=self.allow_dangerous_deserialization,
+        )
+
+        if not vector_store:
+            raise ValueError("Failed to load the FAISS index.")
+
+        logger.debug(f"Search input: {self.search_query}")
+        logger.debug(f"Number of results: {self.number_of_results}")
+
+        if self.search_query and isinstance(self.search_query, str) and self.search_query.strip():
+            docs = vector_store.similarity_search(
+                query=self.search_query,
+                k=self.number_of_results,
+            )
+
+            logger.debug(f"Retrieved documents: {len(docs)}")
+
+            data = docs_to_data(docs)
+            logger.debug(f"Converted documents to data: {len(data)}")
+            logger.debug(data)
+            return data  # Return the search results data
+        else:
+            logger.debug("No search input provided. Skipping search.")
+            return []
diff --git a/src/backend/base/langflow/components/vectorstores/MongoDBAtlasVector.py b/src/backend/base/langflow/components/vectorstores/MongoDBAtlasVector.py
new file mode 100644
index 00000000000..4833a4feef5
--- /dev/null
+++ b/src/backend/base/langflow/components/vectorstores/MongoDBAtlasVector.py
@@ -0,0 +1,98 @@
+from typing import List
+
+from langchain_community.vectorstores import MongoDBAtlasVectorSearch
+
+from langflow.base.vectorstores.model import LCVectorStoreComponent
+from langflow.helpers.data import docs_to_data
+from langflow.io import HandleInput, IntInput, StrInput, SecretStrInput, DataInput, MultilineInput
+from langflow.schema import Data
+
+
+class MongoVectorStoreComponent(LCVectorStoreComponent):
+    display_name = "MongoDB Atlas"
+    description = "MongoDB Atlas Vector Store with search capabilities"
+    documentation = "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/mongodb_atlas"
+    icon = "MongoDB"
+
+    inputs = [
+        SecretStrInput(name="mongodb_atlas_cluster_uri", display_name="MongoDB Atlas Cluster URI", required=True),
+        StrInput(name="db_name", display_name="Database Name", required=True),
+        StrInput(name="collection_name", display_name="Collection Name", required=True),
+        StrInput(name="index_name", display_name="Index Name", required=True),
+        MultilineInput(name="search_query", display_name="Search Query"),
+        DataInput(
+            name="ingest_data",
+            display_name="Ingest Data",
+            is_list=True,
+        ),
+        HandleInput(name="embedding", display_name="Embedding", input_types=["Embeddings"]),
+        IntInput(
+            name="number_of_results",
+            display_name="Number of Results",
+            info="Number of results to return.",
+            value=4,
+            advanced=True,
+        ),
+    ]
+
+    def build_vector_store(self) -> MongoDBAtlasVectorSearch:
+        return self._build_mongodb_atlas()
+
+    def _build_mongodb_atlas(self) -> MongoDBAtlasVectorSearch:
+        try:
+            from pymongo import MongoClient
+        except ImportError:
+            raise ImportError("Please install pymongo to use MongoDB Atlas Vector Store")
+
+        try:
+            mongo_client: MongoClient = MongoClient(self.mongodb_atlas_cluster_uri)
+            collection = mongo_client[self.db_name][self.collection_name]
+        except Exception as e:
+            raise ValueError(f"Failed to connect to MongoDB Atlas: {e}")
+
+        documents = []
+        for _input in self.ingest_data or []:
+            if isinstance(_input, Data):
+                documents.append(_input.to_lc_document())
+            else:
+                documents.append(_input)
+
+            if documents:
+                vector_store = MongoDBAtlasVectorSearch.from_documents(
+                    documents=documents, embedding=self.embedding, collection=collection, index_name=self.index_name
+                )
+            else:
+                vector_store = MongoDBAtlasVectorSearch(
+                    embedding=self.embedding,
+                    collection=collection,
+                    index_name=self.index_name,
+                )
+        else:
+            vector_store = MongoDBAtlasVectorSearch(
+                embedding=self.embedding,
+                collection=collection,
+                index_name=self.index_name,
+            )
+
+        return vector_store
+
+    def search_documents(self) -> List[Data]:
+        from bson import ObjectId
+
+        vector_store = self._build_mongodb_atlas()
+
+        if self.search_query and isinstance(self.search_query, str):
+            docs = vector_store.similarity_search(
+                query=self.search_query,
+                k=self.number_of_results,
+            )
+            for doc in docs:
+                doc.metadata = {
+                    key: str(value) if isinstance(value, ObjectId) else value for key, value in doc.metadata.items()
+                }
+
+            data = docs_to_data(docs)
+            self.status = data
+            return data
+        else:
+            return []
diff --git a/src/backend/base/langflow/components/vectorstores/Pinecone.py b/src/backend/base/langflow/components/vectorstores/Pinecone.py
new file mode 100644
index 00000000000..bf5d0d546f6
--- /dev/null
+++ b/src/backend/base/langflow/components/vectorstores/Pinecone.py
@@ -0,0 +1,103 @@
+from typing import List
+
+from langchain_pinecone import Pinecone
+
+from langflow.base.vectorstores.model import LCVectorStoreComponent
+from langflow.helpers.data import docs_to_data
+from langflow.io import (
+    DropdownInput,
+    HandleInput,
+    IntInput,
+    StrInput,
+    SecretStrInput,
+    DataInput,
+    MultilineInput,
+)
+from langflow.schema import Data
+
+
+class PineconeVectorStoreComponent(LCVectorStoreComponent):
+    display_name = "Pinecone"
+    description = "Pinecone Vector Store with search capabilities"
+    documentation = "https://python.langchain.com/v0.2/docs/integrations/vectorstores/pinecone/"
+    icon = "Pinecone"
+
+    inputs = [
+        StrInput(name="index_name", display_name="Index Name", required=True),
+        StrInput(name="namespace", display_name="Namespace", info="Namespace for the index."),
+        DropdownInput(
+            name="distance_strategy",
+            display_name="Distance Strategy",
+            options=["Cosine", "Euclidean", "Dot Product"],
+            value="Cosine",
+            advanced=True,
+        ),
+        SecretStrInput(name="pinecone_api_key", display_name="Pinecone API Key", required=True),
+        StrInput(
+            name="text_key",
+            display_name="Text Key",
+            info="Key in the record to use as text.",
+            value="text",
+            advanced=True,
+        ),
+        MultilineInput(name="search_query", display_name="Search Query"),
+        DataInput(
+            name="ingest_data",
+            display_name="Ingest Data",
+            is_list=True,
+        ),
+        HandleInput(name="embedding", display_name="Embedding", input_types=["Embeddings"]),
+        IntInput(
+            name="number_of_results",
+            display_name="Number of Results",
+            info="Number of results to return.",
+            value=4,
+            advanced=True,
+        ),
+    ]
+
+    def build_vector_store(self) -> Pinecone:
+        return self._build_pinecone()
+
+    def _build_pinecone(self) -> Pinecone:
+        from langchain_pinecone._utilities import DistanceStrategy
+        from langchain_pinecone.vectorstores import Pinecone
+
+        distance_strategy = self.distance_strategy.replace(" ", "_").upper()
+        _distance_strategy = DistanceStrategy[distance_strategy]
+
+        pinecone = Pinecone(
+            index_name=self.index_name,
+            embedding=self.embedding,
+            text_key=self.text_key,
+            namespace=self.namespace,
+            distance_strategy=_distance_strategy,
+            pinecone_api_key=self.pinecone_api_key,
+        )
+
+        documents = []
+        for _input in self.ingest_data or []:
+            if isinstance(_input, Data):
+                documents.append(_input.to_lc_document())
+            else:
+                documents.append(_input)
+
+        if documents:
+            pinecone.add_documents(documents)
+
+        return pinecone
+
+    def search_documents(self) -> List[Data]:
+        vector_store = self._build_pinecone()
+
+        if self.search_query and isinstance(self.search_query, str) and self.search_query.strip():
+            docs = vector_store.similarity_search(
+                query=self.search_query,
+                k=self.number_of_results,
+            )
+
+            data = docs_to_data(docs)
+            self.status = data
+            return data
+        else:
+            return []
diff --git a/src/backend/base/langflow/components/vectorstores/Qdrant.py b/src/backend/base/langflow/components/vectorstores/Qdrant.py
new file mode 100644
index 00000000000..15282c0331c
--- /dev/null
+++ b/src/backend/base/langflow/components/vectorstores/Qdrant.py
@@ -0,0 +1,115 @@
+from typing import List
+
+from langchain_community.vectorstores import Qdrant
+
+from langflow.base.vectorstores.model import LCVectorStoreComponent
+from langflow.helpers.data import docs_to_data
+from langflow.io import (
+    DropdownInput,
+    HandleInput,
+    IntInput,
+    StrInput,
+    SecretStrInput,
+    DataInput,
+    MultilineInput,
+)
+
+from langflow.schema import Data
+
+
+class QdrantVectorStoreComponent(LCVectorStoreComponent):
+    display_name = "Qdrant"
+    description = "Qdrant Vector Store with search capabilities"
+    documentation = "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/qdrant"
+    icon = "Qdrant"
+
+    inputs = [
+        StrInput(name="collection_name", display_name="Collection Name", required=True),
+        StrInput(name="host", display_name="Host", value="localhost", advanced=True),
+        IntInput(name="port", display_name="Port", value=6333, advanced=True),
+        IntInput(name="grpc_port", display_name="gRPC Port", value=6334, advanced=True),
+        SecretStrInput(name="api_key", display_name="API Key", advanced=True),
+        StrInput(name="prefix", display_name="Prefix", advanced=True),
+        IntInput(name="timeout", display_name="Timeout", advanced=True),
+        StrInput(name="path", display_name="Path", advanced=True),
+        StrInput(name="url", display_name="URL", advanced=True),
+        DropdownInput(
+            name="distance_func",
+            display_name="Distance Function",
+            options=["Cosine", "Euclidean", "Dot Product"],
+            value="Cosine",
+            advanced=True,
+        ),
+        StrInput(name="content_payload_key", display_name="Content Payload Key", value="page_content", advanced=True),
+        StrInput(name="metadata_payload_key", display_name="Metadata Payload Key", value="metadata", advanced=True),
+        MultilineInput(name="search_query", display_name="Search Query"),
+        DataInput(
+            name="ingest_data",
+            display_name="Ingest Data",
+            is_list=True,
+        ),
+        HandleInput(name="embedding", display_name="Embedding", input_types=["Embeddings"]),
+        IntInput(
+            name="number_of_results",
+            display_name="Number of Results",
+            info="Number of results to return.",
+            value=4,
+            advanced=True,
+        ),
+    ]
+
+    def build_vector_store(self) -> Qdrant:
+        return self._build_qdrant()
+
+    def _build_qdrant(self) -> Qdrant:
+        qdrant_kwargs = {
+            "collection_name": self.collection_name,
+            "content_payload_key": self.content_payload_key,
+            "distance_func": self.distance_func,
+            "metadata_payload_key": self.metadata_payload_key,
+        }
+
+        server_kwargs = {
+            "host": self.host,
+            "port": self.port,
+            "grpc_port": self.grpc_port,
+            "api_key": self.api_key,
+            "prefix": self.prefix,
+            "timeout": self.timeout,
+            "path": self.path,
+            "url": self.url,
+        }
+
+        server_kwargs = {k: v for k, v in server_kwargs.items() if v is not None}
+        documents = []
+
+        for _input in self.ingest_data or []:
+            if isinstance(_input, Data):
+                documents.append(_input.to_lc_document())
+            else:
+                documents.append(_input)
+
+        if documents:
+            qdrant = Qdrant.from_documents(documents, embedding=self.embedding, **qdrant_kwargs)
+        else:
+            from qdrant_client import QdrantClient
+
+            client = QdrantClient(**server_kwargs)
+            qdrant = Qdrant(embedding_function=self.embedding.embed_query, client=client, **qdrant_kwargs)
+
+        return qdrant
+
+    def search_documents(self) -> List[Data]:
+        vector_store = self._build_qdrant()
+
+        if self.search_query and isinstance(self.search_query, str) and self.search_query.strip():
+            docs = vector_store.similarity_search(
+                query=self.search_query,
+                k=self.number_of_results,
+            )
+
+            data = docs_to_data(docs)
+            self.status = data
+            return data
+        else:
+            return []
diff --git a/src/backend/base/langflow/components/vectorstores/Redis.py b/src/backend/base/langflow/components/vectorstores/Redis.py
new file mode 100644
index 00000000000..9ce42b41255
--- /dev/null
+++ b/src/backend/base/langflow/components/vectorstores/Redis.py
@@ -0,0 +1,93 @@
+from typing import List
+
+from langchain_community.vectorstores.redis import Redis
+
+from langflow.base.vectorstores.model import LCVectorStoreComponent
+from langflow.helpers.data import docs_to_data
+from langflow.io import HandleInput, IntInput, StrInput, SecretStrInput, DataInput, MultilineInput
+from langflow.schema import Data
+from langchain.text_splitter import CharacterTextSplitter
+
+
+class RedisVectorStoreComponent(LCVectorStoreComponent):
+    """
+    A custom component for implementing a Vector Store using Redis.
+    """
+
+    display_name: str = "Redis"
+    description: str = "Implementation of Vector Store using Redis"
+    documentation = "https://python.langchain.com/docs/integrations/vectorstores/redis"
+
+    inputs = [
+        SecretStrInput(name="redis_server_url", display_name="Redis Server Connection String", required=True),
+        StrInput(
+            name="redis_index_name",
+            display_name="Redis Index",
+        ),
+        StrInput(name="code", display_name="Code", advanced=True),
+        StrInput(
+            name="schema",
+            display_name="Schema",
+        ),
+        MultilineInput(name="search_query", display_name="Search Query"),
+        DataInput(
+            name="ingest_data",
+            display_name="Ingest Data",
+            is_list=True,
+        ),
+        IntInput(
+            name="number_of_results",
+            display_name="Number of Results",
+            info="Number of results to return.",
+            value=4,
+            advanced=True,
+        ),
+        HandleInput(name="embedding", display_name="Embedding", input_types=["Embeddings"]),
+    ]
+
+    def build_vector_store(self) -> Redis:
+        documents = []
+
+        for _input in self.ingest_data or []:
+            if isinstance(_input, Data):
+                documents.append(_input.to_lc_document())
+            else:
+                documents.append(_input)
+        with open("docuemnts.txt", "w") as f:
+            f.write(str(documents))
+
+        if not documents:
+            if self.schema is None:
+                raise ValueError("If no documents are provided, a schema must be provided.")
+            redis_vs = Redis.from_existing_index(
+                embedding=self.embedding,
+                index_name=self.redis_index_name,
+                schema=self.schema,
+                key_prefix=None,
+                redis_url=self.redis_server_url,
+            )
+        else:
+            text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)
+            docs = text_splitter.split_documents(documents)
+            redis_vs = Redis.from_documents(
+                documents=docs,
+                embedding=self.embedding,
+                redis_url=self.redis_server_url,
+                index_name=self.redis_index_name,
+            )
+        return redis_vs
+
+    def search_documents(self) -> List[Data]:
+        vector_store = self.build_vector_store()
+
+        if self.search_query and isinstance(self.search_query, str) and self.search_query.strip():
+            docs = vector_store.similarity_search(
+                query=self.search_query,
+                k=self.number_of_results,
+            )
+
+            data = docs_to_data(docs)
+            self.status = data
+            return data
+        else:
+            return []
diff --git a/src/backend/base/langflow/components/vectorstores/SupabaseVectorStore.py b/src/backend/base/langflow/components/vectorstores/SupabaseVectorStore.py
new file mode 100644
index 00000000000..4c9d89669a3
--- /dev/null
+++ b/src/backend/base/langflow/components/vectorstores/SupabaseVectorStore.py
@@ -0,0 +1,83 @@
+from typing import List
+
+from langchain_community.vectorstores import SupabaseVectorStore
+from supabase.client import Client, create_client
+
+from langflow.base.vectorstores.model import LCVectorStoreComponent
+from langflow.helpers.data import docs_to_data
+from langflow.io import HandleInput, IntInput, StrInput, SecretStrInput, DataInput, MultilineInput
+from langflow.schema import Data
+
+
+class SupabaseVectorStoreComponent(LCVectorStoreComponent):
+    display_name = "Supabase"
+    description = "Supabase Vector Store with search capabilities"
+    documentation = "https://python.langchain.com/v0.2/docs/integrations/vectorstores/supabase/"
+    icon = "Supabase"
+
+    inputs = [
+        StrInput(name="supabase_url", display_name="Supabase URL", required=True),
+        SecretStrInput(name="supabase_service_key", display_name="Supabase Service Key", required=True),
+        StrInput(name="table_name", display_name="Table Name", advanced=True),
+        StrInput(name="query_name", display_name="Query Name"),
+        MultilineInput(name="search_query", display_name="Search Query"),
+        DataInput(
+            name="ingest_data",
+            display_name="Ingest Data",
+            is_list=True,
+        ),
+        HandleInput(name="embedding", display_name="Embedding", input_types=["Embeddings"]),
+        IntInput(
+            name="number_of_results",
+            display_name="Number of Results",
+            info="Number of results to return.",
+            value=4,
+            advanced=True,
+        ),
+    ]
+
+    def build_vector_store(self) -> SupabaseVectorStore:
+        return self._build_supabase()
+
+    def _build_supabase(self) -> SupabaseVectorStore:
+        supabase: Client = create_client(self.supabase_url, supabase_key=self.supabase_service_key)
+
+        documents = []
+        for _input in self.ingest_data or []:
+            if isinstance(_input, Data):
+                documents.append(_input.to_lc_document())
+            else:
+                documents.append(_input)
+
+        if documents:
+            supabase_vs = SupabaseVectorStore.from_documents(
+                documents=documents,
+                embedding=self.embedding,
+                query_name=self.query_name,
+                client=supabase,
+                table_name=self.table_name,
+            )
+        else:
+            supabase_vs = SupabaseVectorStore(
+                client=supabase,
+                embedding=self.embedding,
+                table_name=self.table_name,
+                query_name=self.query_name,
+            )
+
+        return supabase_vs
+
+    def search_documents(self) -> List[Data]:
+        vector_store = self._build_supabase()
+
+        if self.search_query and isinstance(self.search_query, str) and self.search_query.strip():
+            docs = vector_store.similarity_search(
+                query=self.search_query,
+                k=self.number_of_results,
+            )
+
+            data = docs_to_data(docs)
+            self.status = data
+            return data
+        else:
+            return []
diff --git a/src/backend/base/langflow/components/vectorstores/Upstash.py b/src/backend/base/langflow/components/vectorstores/Upstash.py
new file mode 100644
index 00000000000..951bea0206b
--- /dev/null
+++ b/src/backend/base/langflow/components/vectorstores/Upstash.py
@@ -0,0 +1,103 @@
+from typing import List
+
+from langchain_community.vectorstores import UpstashVectorStore
+
+from langflow.base.vectorstores.model import LCVectorStoreComponent
+from langflow.helpers.data import docs_to_data
+from langflow.io import HandleInput, IntInput, StrInput, SecretStrInput, DataInput, MultilineInput
+from langflow.schema import Data
+
+
+class UpstashVectorStoreComponent(LCVectorStoreComponent):
+    display_name = "Upstash"
+    description = "Upstash Vector Store with search capabilities"
+    documentation = "https://python.langchain.com/v0.2/docs/integrations/vectorstores/upstash/"
+    icon = "Upstash"
+
+    inputs = [
+        StrInput(name="index_url", display_name="Index URL", info="The URL of the Upstash index.", required=True),
+        SecretStrInput(
+            name="index_token", display_name="Index Token", info="The token for the Upstash index.", required=True
+        ),
+        StrInput(
+            name="text_key",
+            display_name="Text Key",
+            info="The key in the record to use as text.",
+            value="text",
+            advanced=True,
+        ),
+        MultilineInput(name="search_query", display_name="Search Query"),
+        DataInput(
+            name="ingest_data",
+            display_name="Ingest Data",
+            is_list=True,
+        ),
+        HandleInput(
+            name="embedding",
+            display_name="Embedding",
+            input_types=["Embeddings"],
+            info="To use Upstash's embeddings, don't provide an embedding.",
+        ),
+        IntInput(
+            name="number_of_results",
+            display_name="Number of Results",
+            info="Number of results to return.",
+            value=4,
+            advanced=True,
+        ),
+    ]
+
+    def build_vector_store(self) -> UpstashVectorStore:
+        return self._build_upstash()
+
+    def _build_upstash(self) -> UpstashVectorStore:
+        use_upstash_embedding = self.embedding is None
+
+        documents = []
+        for _input in self.ingest_data or []:
+            if isinstance(_input, Data):
+                documents.append(_input.to_lc_document())
+            else:
+                documents.append(_input)
+
+        if documents:
+            if use_upstash_embedding:
+                upstash_vs = UpstashVectorStore(
+                    embedding=use_upstash_embedding,
+                    text_key=self.text_key,
+                    index_url=self.index_url,
+                    index_token=self.index_token,
+                )
+                upstash_vs.add_documents(documents)
+            else:
+                upstash_vs = UpstashVectorStore.from_documents(
+                    documents=documents,
+                    embedding=self.embedding,
+                    text_key=self.text_key,
+                    index_url=self.index_url,
+                    index_token=self.index_token,
+                )
+        else:
+            upstash_vs = UpstashVectorStore(
+                embedding=self.embedding or use_upstash_embedding,
+                text_key=self.text_key,
+                index_url=self.index_url,
+                index_token=self.index_token,
+            )
+
+        return upstash_vs
+
+    def search_documents(self) -> List[Data]:
+        vector_store = self._build_upstash()
+
+        if self.search_query and isinstance(self.search_query, str) and self.search_query.strip():
+            docs = vector_store.similarity_search(
+                query=self.search_query,
+                k=self.number_of_results,
+            )
+
+            data = docs_to_data(docs)
+            self.status = data
+            return data
+        else:
+            return []
diff --git a/src/backend/base/langflow/components/vectorstores/Vectara.py b/src/backend/base/langflow/components/vectorstores/Vectara.py
new file mode 100644
index 00000000000..4945eb902f7
--- /dev/null
+++ b/src/backend/base/langflow/components/vectorstores/Vectara.py
@@ -0,0 +1,108 @@
+from typing import TYPE_CHECKING, List
+
+from langchain_community.vectorstores import Vectara
+from loguru import logger
+
+from langflow.base.vectorstores.model import LCVectorStoreComponent
+from langflow.helpers.data import docs_to_data
+from langflow.io import HandleInput, IntInput, MessageTextInput, SecretStrInput, StrInput
+from langflow.schema import Data
+
+if TYPE_CHECKING:
+    from langchain_community.vectorstores import Vectara
+
+
+class VectaraVectorStoreComponent(LCVectorStoreComponent):
+    """
+    Vectara Vector Store with search capabilities
+    """
+
+    display_name: str = "Vectara"
+    description: str = "Vectara Vector Store with search capabilities"
+    documentation = "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/vectara"
+    icon = "Vectara"
+
+    inputs = [
+        StrInput(name="vectara_customer_id", display_name="Vectara Customer ID", required=True),
+        StrInput(name="vectara_corpus_id", display_name="Vectara Corpus ID", required=True),
+        SecretStrInput(name="vectara_api_key", display_name="Vectara API Key", required=True),
+        HandleInput(
+            name="embedding",
+            display_name="Embedding",
+            input_types=["Embeddings"],
+        ),
+        HandleInput(
+            name="ingest_data",
+            display_name="Ingest Data",
+            input_types=["Document", "Data"],
+            is_list=True,
+        ),
+        MessageTextInput(
+            name="search_query",
+            display_name="Search Query",
+        ),
+        IntInput(
+            name="number_of_results",
+            display_name="Number of Results",
+            info="Number of results to return.",
+            value=4,
+            advanced=True,
+        ),
+    ]
+
+    def build_vector_store(self) -> "Vectara":
+        """
+        Builds the Vectara object.
+        """
+        try:
+            from langchain_community.vectorstores import Vectara
+        except ImportError:
+            raise ImportError("Could not import Vectara. Please install it with `pip install langchain-community`.")
+
+        vectara = Vectara(
+            vectara_customer_id=self.vectara_customer_id,
+            vectara_corpus_id=self.vectara_corpus_id,
+            vectara_api_key=self.vectara_api_key,
+        )
+
+        self._add_documents_to_vector_store(vectara)
+        return vectara
+
+    def _add_documents_to_vector_store(self, vector_store: "Vectara") -> None:
+        """
+        Adds documents to the Vector Store.
+        """
+        if not self.ingest_data:
+            self.status = "No documents to add to Vectara"
+            return
+
+        documents = []
+        for _input in self.ingest_data or []:
+            if isinstance(_input, Data):
+                documents.append(_input.to_lc_document())
+            else:
+                documents.append(_input)
+
+        if documents:
+            logger.debug(f"Adding {len(documents)} documents to Vectara.")
+            vector_store.add_documents(documents)
+            self.status = f"Added {len(documents)} documents to Vectara"
+        else:
+            logger.debug("No documents to add to Vectara.")
+            self.status = "No valid documents to add to Vectara"
+
+    def search_documents(self) -> List[Data]:
+        vector_store = self.build_vector_store()
+
+        if self.search_query and isinstance(self.search_query, str) and self.search_query.strip():
+            docs = vector_store.similarity_search(
+                query=self.search_query,
+                k=self.number_of_results,
+            )
+
+            data = docs_to_data(docs)
+            self.status = f"Found {len(data)} results for the query: {self.search_query}"
+            return data
+        else:
+            self.status = "No search query provided"
+            return []
diff --git a/src/backend/base/langflow/components/vectorstores/Weaviate.py b/src/backend/base/langflow/components/vectorstores/Weaviate.py
new file mode 100644
index 00000000000..2292af672f1
--- /dev/null
+++ b/src/backend/base/langflow/components/vectorstores/Weaviate.py
@@ -0,0 +1,87 @@
+from typing import List
+
+import weaviate  # type: ignore
+from langchain_community.vectorstores import Weaviate
+
+from langflow.base.vectorstores.model import LCVectorStoreComponent
+from langflow.helpers.data import docs_to_data
+from langflow.io import BoolInput, HandleInput, IntInput, StrInput, SecretStrInput, DataInput, MultilineInput
+from langflow.schema import Data
+
+
+class WeaviateVectorStoreComponent(LCVectorStoreComponent):
+    display_name = "Weaviate"
+    description = "Weaviate Vector Store with search capabilities"
+    documentation = "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/weaviate"
+    icon = "Weaviate"
+
+    inputs = [
+        StrInput(name="url", display_name="Weaviate URL", value="http://localhost:8080", required=True),
+        SecretStrInput(name="api_key", display_name="API Key", required=False),
+        StrInput(name="index_name", display_name="Index Name", required=True),
+        StrInput(name="text_key", display_name="Text Key", value="text", advanced=True),
+        MultilineInput(name="search_query", display_name="Search Query"),
+        DataInput(
+            name="ingest_data",
+            display_name="Ingest Data",
+            is_list=True,
+        ),
+        HandleInput(name="embedding", display_name="Embedding", input_types=["Embeddings"]),
+        IntInput(
+            name="number_of_results",
+            display_name="Number of Results",
+            info="Number of results to return.",
+            value=4,
+            advanced=True,
+        ),
+        BoolInput(name="search_by_text", display_name="Search By Text", advanced=True),
+    ]
+
+    def build_vector_store(self) -> Weaviate:
+        return self._build_weaviate()
+
+    def _build_weaviate(self) -> Weaviate:
+        if self.api_key:
+            auth_config = weaviate.AuthApiKey(api_key=self.api_key)
+            client = weaviate.Client(url=self.url, auth_client_secret=auth_config)
+        else:
+            client = weaviate.Client(url=self.url)
+
+        documents = []
+        for _input in self.ingest_data or []:
+            if isinstance(_input, Data):
+                documents.append(_input.to_lc_document())
+            else:
+                documents.append(_input)
+
+        if documents and self.embedding:
+            return Weaviate.from_documents(
+                client=client,
+                index_name=self.index_name,
+                documents=documents,
+                embedding=self.embedding,
+                by_text=self.search_by_text,
+            )
+
+        return Weaviate(
+            client=client,
+            index_name=self.index_name,
+            text_key=self.text_key,
+            embedding=self.embedding,
+            by_text=self.search_by_text,
+        )
+
+    def search_documents(self) -> List[Data]:
+        vector_store = self._build_weaviate()
+
+        if self.search_query and isinstance(self.search_query, str) and self.search_query.strip():
+            docs = vector_store.similarity_search(
+                query=self.search_query,
+                k=self.number_of_results,
+            )
+
+            data = docs_to_data(docs)
+            self.status = data
+            return data
+        else:
+            return []
diff --git a/src/backend/langflow/graph/graph/__init__.py b/src/backend/base/langflow/components/vectorstores/__init__.py
similarity index 100%
rename from src/backend/langflow/graph/graph/__init__.py
rename to src/backend/base/langflow/components/vectorstores/__init__.py
diff --git a/src/backend/base/langflow/components/vectorstores/pgvector.py b/src/backend/base/langflow/components/vectorstores/pgvector.py
new file mode 100644
index 00000000000..e4f1211a5ee
--- /dev/null
+++ b/src/backend/base/langflow/components/vectorstores/pgvector.py
@@ -0,0 +1,77 @@
+from typing import List
+
+from langchain_community.vectorstores import PGVector
+
+from langflow.base.vectorstores.model import LCVectorStoreComponent
+from langflow.helpers.data import docs_to_data
+from langflow.io import HandleInput, IntInput, StrInput, SecretStrInput, DataInput, MultilineInput
+from langflow.schema import Data
+
+
+class PGVectorStoreComponent(LCVectorStoreComponent):
+    display_name = "PGVector"
+    description = "PGVector Vector Store with search capabilities"
+    documentation = "https://python.langchain.com/v0.2/docs/integrations/vectorstores/pgvector/"
+    icon = "PGVector"
+
+    inputs = [
+        SecretStrInput(name="pg_server_url", display_name="PostgreSQL Server Connection String", required=True),
+        StrInput(name="collection_name", display_name="Table", required=True),
+        MultilineInput(name="search_query", display_name="Search Query"),
+        DataInput(
+            name="ingest_data",
+            display_name="Ingestion Data",
+            is_list=True,
+        ),
+        HandleInput(name="embedding", display_name="Embedding", input_types=["Embeddings"]),
+        IntInput(
+            name="number_of_results",
+            display_name="Number of Results",
+            info="Number of results to return.",
+            value=4,
+            advanced=True,
+        ),
+        HandleInput(name="embedding", display_name="Embedding", input_types=["Embeddings"]),
+    ]
+
+    def build_vector_store(self) -> PGVector:
+        return self._build_pgvector()
+
+    def _build_pgvector(self) -> PGVector:
+        documents = []
+        for _input in self.ingest_data or []:
+            if isinstance(_input, Data):
+                documents.append(_input.to_lc_document())
+            else:
+                documents.append(_input)
+
+        if documents:
+            pgvector = PGVector.from_documents(
+                embedding=self.embedding,
+                documents=documents,
+                collection_name=self.collection_name,
+                connection_string=self.pg_server_url,
+            )
+        else:
+            pgvector = PGVector.from_existing_index(
+                embedding=self.embedding,
+                collection_name=self.collection_name,
+                connection_string=self.pg_server_url,
+            )
+
+        return pgvector
+
+    def search_documents(self) -> List[Data]:
+        vector_store = self._build_pgvector()
+
+        if self.search_query and isinstance(self.search_query, str) and self.search_query.strip():
+            docs = vector_store.similarity_search(
+                query=self.search_query,
+                k=self.number_of_results,
+            )
+
+            data = docs_to_data(docs)
+            self.status = data
+            return data
+        else:
+            return []
diff --git a/src/backend/langflow/graph/vertex/__init__.py b/src/backend/base/langflow/core/__init__.py
similarity index 100%
rename from src/backend/langflow/graph/vertex/__init__.py
rename to src/backend/base/langflow/core/__init__.py
diff --git a/src/backend/langflow/core/celery_app.py b/src/backend/base/langflow/core/celery_app.py
similarity index 100%
rename from src/backend/langflow/core/celery_app.py
rename to src/backend/base/langflow/core/celery_app.py
diff --git a/src/backend/langflow/core/celeryconfig.py b/src/backend/base/langflow/core/celeryconfig.py
similarity index 100%
rename from src/backend/langflow/core/celeryconfig.py
rename to src/backend/base/langflow/core/celeryconfig.py
diff --git a/src/backend/base/langflow/custom/__init__.py b/src/backend/base/langflow/custom/__init__.py
new file mode 100644
index 00000000000..c6ce56c3ec6
--- /dev/null
+++ b/src/backend/base/langflow/custom/__init__.py
@@ -0,0 +1,4 @@
+from langflow.custom.custom_component import CustomComponent
+from langflow.custom.custom_component.component import Component
+
+__all__ = ["CustomComponent", "Component"]
diff --git a/src/backend/base/langflow/custom/attributes.py b/src/backend/base/langflow/custom/attributes.py
new file mode 100644
index 00000000000..d96500c78c9
--- /dev/null
+++ b/src/backend/base/langflow/custom/attributes.py
@@ -0,0 +1,58 @@
+import warnings
+from typing import Callable
+
+import emoji
+
+
+def validate_icon(value: str, *args, **kwargs):
+    # we are going to use the emoji library to validate the emoji
+    # emojis can be defined using the :emoji_name: syntax
+
+    if not value.startswith(":") and not value.endswith(":"):
+        return value
+    elif not value.startswith(":") or not value.endswith(":"):
+        # emoji should have both starting and ending colons
+        # so if one of them is missing, we will raise
+        raise ValueError(f"Invalid emoji. {value} is not a valid emoji.")
+
+    emoji_value = emoji.emojize(value, variant="emoji_type")
+    if value == emoji_value:
+        warnings.warn(f"Invalid emoji. {value} is not a valid emoji.")
+        return value
+    return emoji_value
+
+
+def getattr_return_str(value):
+    return str(value) if value else ""
+
+
+def getattr_return_bool(value):
+    if isinstance(value, bool):
+        return value
+
+
+def getattr_return_list_of_str(value):
+    if isinstance(value, list):
+        return [str(val) for val in value]
+    return []
+
+
+def getattr_return_list_of_object(value):
+    if isinstance(value, list):
+        return value
+    return []
+
+
+ATTR_FUNC_MAPPING: dict[str, Callable] = {
+    "display_name": getattr_return_str,
+    "description": getattr_return_str,
+    "beta": getattr_return_bool,
+    "documentation": getattr_return_str,
+    "icon": validate_icon,
+    "frozen": getattr_return_bool,
+    "is_input": getattr_return_bool,
+    "is_output": getattr_return_bool,
+    "conditional_paths": getattr_return_list_of_str,
+    "outputs": getattr_return_list_of_object,
+    "inputs": getattr_return_list_of_object,
+}
diff --git a/src/backend/langflow/interface/custom/code_parser/__init__.py b/src/backend/base/langflow/custom/code_parser/__init__.py
similarity index 100%
rename from src/backend/langflow/interface/custom/code_parser/__init__.py
rename to src/backend/base/langflow/custom/code_parser/__init__.py
diff --git a/src/backend/langflow/interface/custom/code_parser/code_parser.py b/src/backend/base/langflow/custom/code_parser/code_parser.py
similarity index 79%
rename from src/backend/langflow/interface/custom/code_parser/code_parser.py
rename to src/backend/base/langflow/custom/code_parser/code_parser.py
index 1ab1021b75b..9dc736dc073 100644
--- a/src/backend/langflow/interface/custom/code_parser/code_parser.py
+++ b/src/backend/base/langflow/custom/code_parser/code_parser.py
@@ -1,14 +1,14 @@
 import ast
 import inspect
-import operator
 import traceback
 from typing import Any, Dict, List, Type, Union
 
-from cachetools import TTLCache, cachedmethod, keys
+from cachetools import TTLCache, keys
 from fastapi import HTTPException
+from loguru import logger
 
-
-from langflow.interface.custom.schema import CallableCodeDetails, ClassCodeDetails
+from langflow.custom.eval import eval_custom_component_code
+from langflow.custom.schema import CallableCodeDetails, ClassCodeDetails, MissingDefault
 
 
 class CodeSyntaxError(HTTPException):
@@ -21,6 +21,32 @@ def get_data_type():
     return Data
 
 
+def find_class_ast_node(class_obj):
+    """Finds the AST node corresponding to the given class object."""
+    # Get the source file where the class is defined
+    source_file = inspect.getsourcefile(class_obj)
+    if not source_file:
+        return None, []
+
+    # Read the source code from the file
+    with open(source_file, "r") as file:
+        source_code = file.read()
+
+    # Parse the source code into an AST
+    tree = ast.parse(source_code)
+
+    # Search for the class definition node in the AST
+    class_node = None
+    import_nodes = []
+    for node in ast.walk(tree):
+        if isinstance(node, ast.ClassDef) and node.name == class_obj.__name__:
+            class_node = node
+        elif isinstance(node, (ast.Import, ast.ImportFrom)):
+            import_nodes.append(node)
+
+    return class_node, import_nodes
+
+
 def imports_key(*args, **kwargs):
     imports = kwargs.pop("imports")
     key = keys.methodkey(*args, **kwargs)
@@ -113,7 +139,7 @@ def parse_arg(self, arg, default):
             arg_dict["type"] = ast.unparse(arg.annotation)
         return arg_dict
 
-    @cachedmethod(operator.attrgetter("cache"))
+    # @cachedmethod(operator.attrgetter("cache"))
     def construct_eval_env(self, return_type_str: str, imports) -> dict:
         """
         Constructs an evaluation environment with the necessary imports for the return type,
@@ -135,7 +161,6 @@ def construct_eval_env(self, return_type_str: str, imports) -> dict:
                     exec(f"import {module} as {alias if alias else module}", eval_env)
         return eval_env
 
-    @cachedmethod(cache=operator.attrgetter("cache"))
     def parse_callable_details(self, node: ast.FunctionDef) -> Dict[str, Any]:
         """
         Extracts details from a single function or method node.
@@ -156,7 +181,7 @@ def parse_callable_details(self, node: ast.FunctionDef) -> Dict[str, Any]:
             doc=ast.get_docstring(node),
             args=self.parse_function_args(node),
             body=self.parse_function_body(node),
-            return_type=return_type or get_data_type(),
+            return_type=return_type,
             has_return=self.parse_return_statement(node),
         )
 
@@ -173,7 +198,7 @@ def parse_function_args(self, node: ast.FunctionDef) -> List[Dict[str, Any]]:
         args += self.parse_keyword_args(node)
         # Commented out because we don't want kwargs
         # showing up as fields in the frontend
-        # args += self.parse_kwargs(node)
+        args += self.parse_kwargs(node)
 
         return args
 
@@ -184,7 +209,7 @@ def parse_positional_args(self, node: ast.FunctionDef) -> List[Dict[str, Any]]:
         num_args = len(node.args.args)
         num_defaults = len(node.args.defaults)
         num_missing_defaults = num_args - num_defaults
-        missing_defaults = [None] * num_missing_defaults
+        missing_defaults = [MissingDefault()] * num_missing_defaults
         default_values = [ast.unparse(default).strip("'") if default else None for default in node.args.defaults]
         # Now check all default values to see if there
         # are any "None" values in the middle
@@ -288,20 +313,53 @@ def parse_function_def(self, stmt):
         method = self.parse_callable_details(stmt)
         return (method, True) if stmt.name == "__init__" else (method, False)
 
+    def get_base_classes(self):
+        """
+        Returns the base classes of the custom component class.
+        """
+        try:
+            bases = self.execute_and_inspect_classes(self.code)
+        except Exception as e:
+            # If the code cannot be executed, return an empty list
+            bases = []
+            raise e
+        return bases
+
     def parse_classes(self, node: ast.ClassDef) -> None:
         """
         Extracts "classes" from the code, including inheritance and init methods.
         """
-
+        if node.name in ["CustomComponent", "Component", "BaseComponent"]:
+            return
+        bases = self.get_base_classes()
+        nodes = []
+        for base in bases:
+            if base.__name__ == node.name or base.__name__ in ["CustomComponent", "Component", "BaseComponent"]:
+                continue
+            try:
+                class_node, import_nodes = find_class_ast_node(base)
+                if class_node is None:
+                    continue
+                for import_node in import_nodes:
+                    self.parse_imports(import_node)
+                nodes.append(class_node)
+            except Exception as exc:
+                logger.error(f"Error finding base class node: {exc}")
+                pass
+        nodes.insert(0, node)
         class_details = ClassCodeDetails(
             name=node.name,
             doc=ast.get_docstring(node),
-            bases=[ast.unparse(base) for base in node.bases],
+            bases=[b.__name__ for b in bases],
             attributes=[],
             methods=[],
             init=None,
         )
+        for node in nodes:
+            self.process_class_node(node, class_details)
+        self.data["classes"].append(class_details.model_dump())
 
+    def process_class_node(self, node, class_details):
         for stmt in node.body:
             if isinstance(stmt, ast.Assign):
                 if attr := self.parse_assign(stmt):
@@ -316,8 +374,6 @@ def parse_classes(self, node: ast.ClassDef) -> None:
                 else:
                     class_details.methods.append(method)
 
-        self.data["classes"].append(class_details.model_dump())
-
     def parse_global_vars(self, node: ast.Assign) -> None:
         """
         Extracts global variables from the code.
@@ -328,6 +384,18 @@ def parse_global_vars(self, node: ast.Assign) -> None:
         }
         self.data["global_vars"].append(global_var)
 
+    def execute_and_inspect_classes(self, code: str):
+        custom_component_class = eval_custom_component_code(code)
+        custom_component = custom_component_class()
+        dunder_class = custom_component.__class__
+        # Get the base classes at two levels of inheritance
+        bases = []
+        for base in dunder_class.__bases__:
+            bases.append(base)
+            for bases_base in base.__bases__:
+                bases.append(bases_base)
+        return bases
+
     def parse_code(self) -> Dict[str, Any]:
         """
         Runs all parsing operations and returns the resulting data.
diff --git a/src/backend/langflow/interface/custom/custom_component/__init__.py b/src/backend/base/langflow/custom/custom_component/__init__.py
similarity index 100%
rename from src/backend/langflow/interface/custom/custom_component/__init__.py
rename to src/backend/base/langflow/custom/custom_component/__init__.py
diff --git a/src/backend/base/langflow/custom/custom_component/base_component.py b/src/backend/base/langflow/custom/custom_component/base_component.py
new file mode 100644
index 00000000000..098942dd418
--- /dev/null
+++ b/src/backend/base/langflow/custom/custom_component/base_component.py
@@ -0,0 +1,94 @@
+import operator
+import warnings
+from typing import Any, ClassVar, Optional
+
+from cachetools import TTLCache, cachedmethod
+from fastapi import HTTPException
+
+from langflow.custom.attributes import ATTR_FUNC_MAPPING
+from langflow.custom.code_parser import CodeParser
+from langflow.custom.eval import eval_custom_component_code
+from langflow.utils import validate
+
+
+class ComponentCodeNullError(HTTPException):
+    pass
+
+
+class ComponentFunctionEntrypointNameNullError(HTTPException):
+    pass
+
+
+class BaseComponent:
+    ERROR_CODE_NULL: ClassVar[str] = "Python code must be provided."
+    ERROR_FUNCTION_ENTRYPOINT_NAME_NULL: ClassVar[str] = "The name of the entrypoint function must be provided."
+
+    code: Optional[str] = None
+    _function_entrypoint_name: str = "build"
+    field_config: dict = {}
+    _user_id: Optional[str]
+
+    def __init__(self, **data):
+        self.cache = TTLCache(maxsize=1024, ttl=60)
+        for key, value in data.items():
+            if key == "user_id":
+                setattr(self, "_user_id", value)
+            else:
+                setattr(self, key, value)
+
+    def __setattr__(self, key, value):
+        if key == "_user_id" and hasattr(self, "_user_id"):
+            warnings.warn("user_id is immutable and cannot be changed.")
+        super().__setattr__(key, value)
+
+    @cachedmethod(cache=operator.attrgetter("cache"))
+    def get_code_tree(self, code: str):
+        parser = CodeParser(code)
+        return parser.parse_code()
+
+    def get_function(self):
+        if not self.code:
+            raise ComponentCodeNullError(
+                status_code=400,
+                detail={"error": self.ERROR_CODE_NULL, "traceback": ""},
+            )
+
+        if not self._function_entrypoint_name:
+            raise ComponentFunctionEntrypointNameNullError(
+                status_code=400,
+                detail={
+                    "error": self.ERROR_FUNCTION_ENTRYPOINT_NAME_NULL,
+                    "traceback": "",
+                },
+            )
+
+        return validate.create_function(self.code, self._function_entrypoint_name)
+
+    def build_template_config(self) -> dict:
+        """
+        Builds the template configuration for the custom component.
+
+        Returns:
+            A dictionary representing the template configuration.
+        """
+        if not self.code:
+            return {}
+
+        cc_class = eval_custom_component_code(self.code)
+        component_instance = cc_class()
+        template_config = {}
+
+        for attribute, func in ATTR_FUNC_MAPPING.items():
+            if hasattr(component_instance, attribute):
+                value = getattr(component_instance, attribute)
+                if value is not None:
+                    template_config[attribute] = func(value=value)
+
+        for key in template_config.copy():
+            if key not in ATTR_FUNC_MAPPING.keys():
+                template_config.pop(key, None)
+
+        return template_config
+
+    def build(self, *args: Any, **kwargs: Any) -> Any:
+        raise NotImplementedError
diff --git a/src/backend/base/langflow/custom/custom_component/component.py b/src/backend/base/langflow/custom/custom_component/component.py
new file mode 100644
index 00000000000..1f6693f5f90
--- /dev/null
+++ b/src/backend/base/langflow/custom/custom_component/component.py
@@ -0,0 +1,226 @@
+import inspect
+from typing import Any, AsyncIterator, Callable, ClassVar, Generator, Iterator, List, Optional, Union
+from uuid import UUID
+
+import yaml
+from pydantic import BaseModel
+
+from langflow.inputs.inputs import InputTypes
+from langflow.schema.artifact import get_artifact_type, post_process_raw
+from langflow.schema.data import Data
+from langflow.schema.message import Message
+from langflow.template.field.base import UNDEFINED, Output
+
+from .custom_component import CustomComponent
+
+
+def recursive_serialize_or_str(obj):
+    try:
+        if isinstance(obj, dict):
+            return {k: recursive_serialize_or_str(v) for k, v in obj.items()}
+        elif isinstance(obj, list):
+            return [recursive_serialize_or_str(v) for v in obj]
+        elif isinstance(obj, BaseModel):
+            return {k: recursive_serialize_or_str(v) for k, v in obj.model_dump().items()}
+        elif isinstance(obj, (AsyncIterator, Generator, Iterator)):
+            # contain memory addresses
+            # without consuming the iterator
+            # return list(obj) consumes the iterator
+            # return f"{obj}" this generates '<generator object BaseChatModel.stream at 0x33e9ec770>'
+            # it is not useful
+            return "Unconsumed Stream"
+        return str(obj)
+    except Exception:
+        return str(obj)
+
+
+class Component(CustomComponent):
+    inputs: List[InputTypes] = []
+    outputs: List[Output] = []
+    code_class_base_inheritance: ClassVar[str] = "Component"
+
+    def __init__(self, **data):
+        super().__init__(**data)
+        self._inputs: dict[str, InputTypes] = {}
+        self._results: dict[str, Any] = {}
+        self._attributes: dict[str, Any] = {}
+        if not hasattr(self, "trace_type"):
+            self.trace_type = "chain"
+        if self.inputs is not None:
+            self.map_inputs(self.inputs)
+
+    def __getattr__(self, name: str) -> Any:
+        if "_attributes" in self.__dict__ and name in self.__dict__["_attributes"]:
+            return self.__dict__["_attributes"][name]
+        if "_inputs" in self.__dict__ and name in self.__dict__["_inputs"]:
+            return self.__dict__["_inputs"][name].value
+        raise AttributeError(f"{name} not found in {self.__class__.__name__}")
+
+    def map_inputs(self, inputs: List[InputTypes]):
+        self.inputs = inputs
+        for input_ in inputs:
+            if input_.name is None:
+                raise ValueError("Input name cannot be None.")
+            self._inputs[input_.name] = input_
+
+    def validate(self, params: dict):
+        self._validate_inputs(params)
+        self._validate_outputs()
+
+    def _validate_outputs(self):
+        # Raise Error if some rule isn't met
+        pass
+
+    def _validate_inputs(self, params: dict):
+        # Params keys are the `name` attribute of the Input objects
+        for key, value in params.copy().items():
+            if key not in self._inputs:
+                continue
+            input_ = self._inputs[key]
+            # BaseInputMixin has a `validate_assignment=True`
+            input_.value = value
+            params[input_.name] = input_.value
+
+    def set_attributes(self, params: dict):
+        self._validate_inputs(params)
+        _attributes = {}
+        for key, value in params.items():
+            if key in self.__dict__:
+                raise ValueError(f"Key {key} already exists in {self.__class__.__name__}")
+            _attributes[key] = value
+        for key, input_obj in self._inputs.items():
+            if key not in _attributes:
+                _attributes[key] = input_obj.value or None
+        self._attributes = _attributes
+
+    def _set_outputs(self, outputs: List[dict]):
+        self.outputs = [Output(**output) for output in outputs]
+        for output in self.outputs:
+            setattr(self, output.name, output)
+
+    def get_trace_as_inputs(self):
+        predefined_inputs = {
+            input_.name: input_.value
+            for input_ in self.inputs
+            if hasattr(input_, "trace_as_input") and input_.trace_as_input
+        }
+        # Dynamic inputs
+        dynamic_inputs = {key: value for key, value in self._attributes.items() if key not in predefined_inputs}
+        return {**predefined_inputs, **dynamic_inputs}
+
+    def get_trace_as_metadata(self):
+        return {
+            input_.name: input_.value
+            for input_ in self.inputs
+            if hasattr(input_, "trace_as_metadata") and input_.trace_as_metadata
+        }
+
+    async def build_results(self):
+        inputs = self.get_trace_as_inputs()
+        metadata = self.get_trace_as_metadata()
+        async with self._tracing_service.trace_context(
+            f"{self.display_name} ({self.vertex.id})", self.trace_type, inputs, metadata
+        ):
+            _results, _artifacts = await self._build_results()
+            trace_name = self._tracing_service.run_name
+            self._tracing_service.set_outputs(trace_name, _results)
+
+        return _results, _artifacts
+
+    async def _build_results(self):
+        _results = {}
+        _artifacts = {}
+        if hasattr(self, "outputs"):
+            self._set_outputs(self.vertex.outputs)
+            for output in self.outputs:
+                # Build the output if it's connected to some other vertex
+                # or if it's not connected to any vertex
+                if not self.vertex.outgoing_edges or output.name in self.vertex.edges_source_names:
+                    if output.method is None:
+                        raise ValueError(f"Output {output.name} does not have a method defined.")
+                    method: Callable = getattr(self, output.method)
+                    if output.cache and output.value != UNDEFINED:
+                        _results[output.name] = output.value
+                    else:
+                        result = method()
+                        # If the method is asynchronous, we need to await it
+                        if inspect.iscoroutinefunction(method):
+                            result = await result
+                        if (
+                            isinstance(result, Message)
+                            and result.flow_id is None
+                            and self.vertex.graph.flow_id is not None
+                        ):
+                            result.set_flow_id(self.vertex.graph.flow_id)
+                        _results[output.name] = result
+                        output.value = result
+                        custom_repr = self.custom_repr()
+                        if custom_repr is None and isinstance(result, (dict, Data, str)):
+                            custom_repr = result
+                        if not isinstance(custom_repr, str):
+                            custom_repr = str(custom_repr)
+                        raw = result
+                        if self.status is None:
+                            artifact_value = raw
+                        else:
+                            artifact_value = self.status
+                            raw = self.status
+
+                        if hasattr(raw, "data") and raw is not None:
+                            raw = raw.data
+                        if raw is None:
+                            raw = custom_repr
+
+                        elif hasattr(raw, "model_dump") and raw is not None:
+                            raw = raw.model_dump()
+                        if raw is None and isinstance(result, (dict, Data, str)):
+                            raw = result.data if isinstance(result, Data) else result
+                        artifact_type = get_artifact_type(artifact_value, result)
+                        raw = post_process_raw(raw, artifact_type)
+                        artifact = {"repr": custom_repr, "raw": raw, "type": artifact_type}
+                        _artifacts[output.name] = artifact
+        self._artifacts = _artifacts
+        self._results = _results
+        if self._tracing_service:
+            trace_name = self._tracing_service.run_name
+            self._tracing_service.set_outputs(trace_name, _results)
+        return _results, _artifacts
+
+    def custom_repr(self):
+        if self.repr_value == "":
+            self.repr_value = self.status
+        if isinstance(self.repr_value, dict):
+            return yaml.dump(self.repr_value)
+        if isinstance(self.repr_value, str):
+            return self.repr_value
+        if isinstance(self.repr_value, BaseModel) and not isinstance(self.repr_value, Data):
+            return str(self.repr_value)
+        return self.repr_value
+
+    def build_inputs(self, user_id: Optional[Union[str, UUID]] = None):
+        """
+        Builds the inputs for the custom component.
+
+        Args:
+            user_id (Optional[Union[str, UUID]], optional): The user ID. Defaults to None.
+
+        Returns:
+            List[Input]: The list of inputs.
+        """
+        # This function is similar to build_config, but it will process the inputs
+        # and return them as a dict with keys being the Input.name and values being the Input.model_dump()
+        self.inputs = self.template_config.get("inputs", [])
+        if not self.inputs:
+            return {}
+        build_config = {_input.name: _input.model_dump(by_alias=True, exclude_none=True) for _input in self.inputs}
+        return build_config
+
+    def _get_field_order(self):
+        try:
+            inputs = self.template_config["inputs"]
+            return [field.name for field in inputs]
+        except KeyError:
+            return []
+
+    def build(self, **kwargs):
+        self.set_attributes(kwargs)
diff --git a/src/backend/base/langflow/custom/custom_component/custom_component.py b/src/backend/base/langflow/custom/custom_component/custom_component.py
new file mode 100644
index 00000000000..5505ae1325e
--- /dev/null
+++ b/src/backend/base/langflow/custom/custom_component/custom_component.py
@@ -0,0 +1,507 @@
+from pathlib import Path
+from typing import TYPE_CHECKING, Any, Callable, ClassVar, List, Optional, Sequence, Union
+from uuid import UUID
+
+import yaml
+from cachetools import TTLCache
+from langchain_core.documents import Document
+from pydantic import BaseModel
+
+from langflow.custom.custom_component.base_component import BaseComponent
+from langflow.helpers.flow import list_flows, load_flow, run_flow
+from langflow.schema import Data
+from langflow.schema.artifact import get_artifact_type
+from langflow.schema.dotdict import dotdict
+from langflow.schema.log import LoggableType
+from langflow.schema.schema import OutputLog
+from langflow.services.deps import get_storage_service, get_variable_service, session_scope
+from langflow.services.storage.service import StorageService
+from langflow.services.tracing.schema import Log
+from langflow.template.utils import update_frontend_node_with_template_values
+from langflow.type_extraction.type_extraction import (
+    extract_inner_type_from_generic_alias,
+    extract_union_types_from_generic_alias,
+)
+from langflow.utils import validate
+
+if TYPE_CHECKING:
+    from langflow.graph.graph.base import Graph
+    from langflow.graph.vertex.base import Vertex
+    from langflow.services.storage.service import StorageService
+    from langflow.services.tracing.service import TracingService
+
+
+class CustomComponent(BaseComponent):
+    """
+    Represents a custom component in Langflow.
+
+    Attributes:
+        display_name (Optional[str]): The display name of the custom component.
+        description (Optional[str]): The description of the custom component.
+        code (Optional[str]): The code of the custom component.
+        field_config (dict): The field configuration of the custom component.
+        code_class_base_inheritance (ClassVar[str]): The base class name for the custom component.
+        function_entrypoint_name (ClassVar[str]): The name of the function entrypoint for the custom component.
+        function (Optional[Callable]): The function associated with the custom component.
+        repr_value (Optional[Any]): The representation value of the custom component.
+        user_id (Optional[Union[UUID, str]]): The user ID associated with the custom component.
+        status (Optional[Any]): The status of the custom component.
+        _tree (Optional[dict]): The code tree of the custom component.
+    """
+
+    display_name: Optional[str] = None
+    """The display name of the component. Defaults to None."""
+    description: Optional[str] = None
+    """The description of the component. Defaults to None."""
+    icon: Optional[str] = None
+    """The icon of the component. It should be an emoji. Defaults to None."""
+    is_input: Optional[bool] = None
+    """The input state of the component. Defaults to None.
+    If True, the component must have a field named 'input_value'."""
+    is_output: Optional[bool] = None
+    """The output state of the component. Defaults to None.
+    If True, the component must have a field named 'input_value'."""
+    code: Optional[str] = None
+    """The code of the component. Defaults to None."""
+    field_config: dict = {}
+    """The field configuration of the component. Defaults to an empty dictionary."""
+    field_order: Optional[List[str]] = None
+    """The field order of the component. Defaults to an empty list."""
+    frozen: Optional[bool] = False
+    """The default frozen state of the component. Defaults to False."""
+    build_parameters: Optional[dict] = None
+    """The build parameters of the component. Defaults to None."""
+    vertex: Optional["Vertex"] = None
+    """The edge target parameter of the component. Defaults to None."""
+    code_class_base_inheritance: ClassVar[str] = "CustomComponent"
+    function_entrypoint_name: ClassVar[str] = "build"
+    function: Optional[Callable] = None
+    repr_value: Optional[Any] = ""
+    user_id: Optional[Union[UUID, str]] = None
+    status: Optional[Any] = None
+    """The status of the component. This is displayed on the frontend. Defaults to None."""
+    _flows_data: Optional[List[Data]] = None
+    _outputs: List[OutputLog] = []
+    _logs: List[Log] = []
+    _tracing_service: "TracingService"
+
+    def update_state(self, name: str, value: Any):
+        if not self.vertex:
+            raise ValueError("Vertex is not set")
+        try:
+            self.vertex.graph.update_state(name=name, record=value, caller=self.vertex.id)
+        except Exception as e:
+            raise ValueError(f"Error updating state: {e}")
+
+    def stop(self, output_name: str | None = None):
+        if not output_name and self.vertex and len(self.vertex.outputs) == 1:
+            output_name = self.vertex.outputs[0]["name"]
+        else:
+            raise ValueError("You must specify an output name to call stop")
+        if not self.vertex:
+            raise ValueError("Vertex is not set")
+        try:
+            self.graph.mark_branch(vertex_id=self.vertex.id, output_name=output_name, state="INACTIVE")
+        except Exception as e:
+            raise ValueError(f"Error stopping {self.display_name}: {e}")
+
+    def append_state(self, name: str, value: Any):
+        if not self.vertex:
+            raise ValueError("Vertex is not set")
+        try:
+            self.vertex.graph.append_state(name=name, record=value, caller=self.vertex.id)
+        except Exception as e:
+            raise ValueError(f"Error appending state: {e}")
+
+    def get_state(self, name: str):
+        if not self.vertex:
+            raise ValueError("Vertex is not set")
+        try:
+            return self.vertex.graph.get_state(name=name)
+        except Exception as e:
+            raise ValueError(f"Error getting state: {e}")
+
+    _tree: Optional[dict] = None
+
+    def __init__(self, **data):
+        """
+        Initializes a new instance of the CustomComponent class.
+
+        Args:
+            **data: Additional keyword arguments to initialize the custom component.
+        """
+        self.cache = TTLCache(maxsize=1024, ttl=60)
+        super().__init__(**data)
+
+    @staticmethod
+    def resolve_path(path: str) -> str:
+        """Resolves the path to an absolute path."""
+        if not path:
+            return path
+        path_object = Path(path)
+
+        if path_object.parts and path_object.parts[0] == "~":
+            path_object = path_object.expanduser()
+        elif path_object.is_relative_to("."):
+            path_object = path_object.resolve()
+        return str(path_object)
+
+    def get_full_path(self, path: str) -> str:
+        storage_svc: "StorageService" = get_storage_service()
+
+        flow_id, file_name = path.split("/", 1)
+        return storage_svc.build_full_path(flow_id, file_name)
+
+    @property
+    def graph(self):
+        return self.vertex.graph
+
+    def _get_field_order(self):
+        return self.field_order or list(self.field_config.keys())
+
+    def custom_repr(self):
+        """
+        Returns the custom representation of the custom component.
+
+        Returns:
+            str: The custom representation of the custom component.
+        """
+        if self.repr_value == "":
+            self.repr_value = self.status
+        if isinstance(self.repr_value, dict):
+            self.repr_value = yaml.dump(self.repr_value)
+        if isinstance(self.repr_value, BaseModel) and not isinstance(self.repr_value, Data):
+            self.repr_value = str(self.repr_value)
+        elif hasattr(self.repr_value, "to_json") and not isinstance(self.repr_value, Data):
+            self.repr_value = self.repr_value.to_json()
+        return self.repr_value
+
+    def build_config(self):
+        """
+        Builds the configuration for the custom component.
+
+        Returns:
+            dict: The configuration for the custom component.
+        """
+        return self.field_config
+
+    def update_build_config(
+        self,
+        build_config: dotdict,
+        field_value: Any,
+        field_name: Optional[str] = None,
+    ):
+        build_config[field_name] = field_value
+        return build_config
+
+    @property
+    def tree(self):
+        """
+        Gets the code tree of the custom component.
+
+        Returns:
+            dict: The code tree of the custom component.
+        """
+        return self.get_code_tree(self.code or "")
+
+    def to_data(self, data: Any, keys: Optional[List[str]] = None, silent_errors: bool = False) -> List[Data]:
+        """
+        Converts input data into a list of Data objects.
+
+        Args:
+            data (Any): The input data to be converted. It can be a single item or a sequence of items.
+            If the input data is a Langchain Document, text_key and data_key are ignored.
+
+            keys (List[str], optional): The keys to access the text and data values in each item.
+                It should be a list of strings where the first element is the text key and the second element is the data key.
+                Defaults to None, in which case the default keys "text" and "data" are used.
+
+        Returns:
+            List[Data]: A list of Data objects.
+
+        Raises:
+            ValueError: If the input data is not of a valid type or if the specified keys are not found in the data.
+
+        """
+        if not keys:
+            keys = []
+        data_objects = []
+        if not isinstance(data, Sequence):
+            data = [data]
+        for item in data:
+            data_dict = {}
+            if isinstance(item, Document):
+                data_dict = item.metadata
+                data_dict["text"] = item.page_content
+            elif isinstance(item, BaseModel):
+                model_dump = item.model_dump()
+                for key in keys:
+                    if silent_errors:
+                        data_dict[key] = model_dump.get(key, "")
+                    else:
+                        try:
+                            data_dict[key] = model_dump[key]
+                        except KeyError:
+                            raise ValueError(f"Key {key} not found in {item}")
+
+            elif isinstance(item, str):
+                data_dict = {"text": item}
+            elif isinstance(item, dict):
+                data_dict = item.copy()
+            else:
+                raise ValueError(f"Invalid data type: {type(item)}")
+
+            data_objects.append(Data(data=data_dict))
+
+        return data_objects
+
+    def create_references_from_data(self, data: List[Data], include_data: bool = False) -> str:
+        """
+        Create references from a list of data.
+
+        Args:
+            data (List[dict]): A list of data, where each record is a dictionary.
+            include_data (bool, optional): Whether to include data in the references. Defaults to False.
+
+        Returns:
+            str: A string containing the references in markdown format.
+        """
+        if not data:
+            return ""
+        markdown_string = "---\n"
+        for value in data:
+            markdown_string += f"- Text: {value.get_text()}"
+            if include_data:
+                markdown_string += f" Data: {value.data}"
+            markdown_string += "\n"
+        return markdown_string
+
+    @property
+    def get_function_entrypoint_args(self) -> list:
+        """
+        Gets the arguments of the function entrypoint for the custom component.
+
+        Returns:
+            list: The arguments of the function entrypoint.
+        """
+        build_method = self.get_method(self.function_entrypoint_name)
+        if not build_method:
+            return []
+
+        args = build_method["args"]
+        for arg in args:
+            if not arg.get("type") and arg.get("name") != "self":
+                # Set the type to Data
+                arg["type"] = "Data"
+        return args
+
+    def get_method(self, method_name: str):
+        """
+        Gets the build method for the custom component.
+
+        Returns:
+            dict: The build method for the custom component.
+        """
+        if not self.code:
+            return {}
+
+        component_classes = [
+            cls for cls in self.tree["classes"] if "Component" in cls["bases"] or "CustomComponent" in cls["bases"]
+        ]
+        if not component_classes:
+            return {}
+
+        # Assume the first Component class is the one we're interested in
+        component_class = component_classes[0]
+        build_methods = [method for method in component_class["methods"] if method["name"] == (method_name)]
+
+        return build_methods[0] if build_methods else {}
+
+    @property
+    def get_function_entrypoint_return_type(self) -> List[Any]:
+        """
+        Gets the return type of the function entrypoint for the custom component.
+
+        Returns:
+            List[Any]: The return type of the function entrypoint.
+        """
+        return self.get_method_return_type(self.function_entrypoint_name)
+
+    def get_method_return_type(self, method_name: str):
+        build_method = self.get_method(method_name)
+        if not build_method or not build_method.get("has_return"):
+            return []
+        return_type = build_method["return_type"]
+
+        if hasattr(return_type, "__origin__") and return_type.__origin__ in [
+            list,
+            List,
+        ]:
+            return_type = extract_inner_type_from_generic_alias(return_type)
+
+        # If the return type is not a Union, then we just return it as a list
+        inner_type = return_type[0] if isinstance(return_type, list) else return_type
+        if not hasattr(inner_type, "__origin__") or inner_type.__origin__ != Union:
+            return return_type if isinstance(return_type, list) else [return_type]
+        # If the return type is a Union, then we need to parse it
+        return_type = extract_union_types_from_generic_alias(return_type)
+        return return_type
+
+    @property
+    def get_main_class_name(self):
+        """
+        Gets the main class name of the custom component.
+
+        Returns:
+            str: The main class name of the custom component.
+        """
+        if not self.code:
+            return ""
+
+        base_name = self.code_class_base_inheritance
+        method_name = self.function_entrypoint_name
+
+        classes = []
+        for item in self.tree.get("classes", []):
+            if base_name in item["bases"]:
+                method_names = [method["name"] for method in item["methods"]]
+                if method_name in method_names:
+                    classes.append(item["name"])
+
+        # Get just the first item
+        return next(iter(classes), "")
+
+    @property
+    def template_config(self):
+        """
+        Gets the template configuration for the custom component.
+
+        Returns:
+            dict: The template configuration for the custom component.
+        """
+        return self.build_template_config()
+
+    @property
+    def variables(self):
+        """
+        Returns the variable for the current user with the specified name.
+
+        Raises:
+            ValueError: If the user id is not set.
+
+        Returns:
+            The variable for the current user with the specified name.
+        """
+
+        def get_variable(name: str, field: str):
+            if hasattr(self, "_user_id") and not self._user_id:
+                raise ValueError(f"User id is not set for {self.__class__.__name__}")
+            variable_service = get_variable_service()  # Get service instance
+            # Retrieve and decrypt the variable by name for the current user
+            with session_scope() as session:
+                user_id = self._user_id or ""
+                return variable_service.get_variable(user_id=user_id, name=name, field=field, session=session)
+
+        return get_variable
+
+    def list_key_names(self):
+        """
+        Lists the names of the variables for the current user.
+
+        Raises:
+            ValueError: If the user id is not set.
+
+        Returns:
+            List[str]: The names of the variables for the current user.
+        """
+        if hasattr(self, "_user_id") and not self._user_id:
+            raise ValueError(f"User id is not set for {self.__class__.__name__}")
+        variable_service = get_variable_service()
+
+        with session_scope() as session:
+            return variable_service.list_variables(user_id=self._user_id, session=session)
+
+    def index(self, value: int = 0):
+        """
+        Returns a function that returns the value at the given index in the iterable.
+
+        Args:
+            value (int): The index value.
+
+        Returns:
+            Callable: A function that returns the value at the given index.
+        """
+
+        def get_index(iterable: List[Any]):
+            return iterable[value] if iterable else iterable
+
+        return get_index
+
+    def get_function(self):
+        """
+        Gets the function associated with the custom component.
+
+        Returns:
+            Callable: The function associated with the custom component.
+        """
+        return validate.create_function(self.code, self.function_entrypoint_name)
+
+    async def load_flow(self, flow_id: str, tweaks: Optional[dict] = None) -> "Graph":
+        if not self._user_id:
+            raise ValueError("Session is invalid")
+        return await load_flow(user_id=self._user_id, flow_id=flow_id, tweaks=tweaks)
+
+    async def run_flow(
+        self,
+        inputs: Optional[Union[dict, List[dict]]] = None,
+        flow_id: Optional[str] = None,
+        flow_name: Optional[str] = None,
+        tweaks: Optional[dict] = None,
+    ) -> Any:
+        return await run_flow(inputs=inputs, flow_id=flow_id, flow_name=flow_name, tweaks=tweaks, user_id=self._user_id)
+
+    def list_flows(self) -> List[Data]:
+        if not self._user_id:
+            raise ValueError("Session is invalid")
+        try:
+            return list_flows(user_id=self._user_id)
+        except Exception as e:
+            raise ValueError(f"Error listing flows: {e}")
+
+    def build(self, *args: Any, **kwargs: Any) -> Any:
+        """
+        Builds the custom component.
+
+        Args:
+            *args: The positional arguments.
+            **kwargs: The keyword arguments.
+
+        Returns:
+            Any: The result of the build process.
+        """
+        raise NotImplementedError
+
+    def log(self, message: LoggableType | list[LoggableType], name: str | None = None):
+        """
+        Logs a message.
+
+        Args:
+            message (LoggableType | list[LoggableType]): The message to log.
+        """
+        if name is None:
+            name = self.display_name if self.display_name else self.__class__.__name__
+        if hasattr(message, "model_dump") and isinstance(message, BaseModel):
+            message = message.model_dump()
+        log = Log(message=message, type=get_artifact_type(message), name=name)
+        self._logs.append(log)
+        if self.vertex:
+            self._tracing_service.add_log(trace_name=self.vertex.id, log=log)
+
+    def post_code_processing(self, new_build_config: dict, current_build_config: dict):
+        """
+        This function is called after the code validation is done.
+        """
+        frontend_node = update_frontend_node_with_template_values(
+            frontend_node=new_build_config, raw_frontend_node=current_build_config
+        )
+        return frontend_node
diff --git a/src/backend/langflow/interface/custom/directory_reader/__init__.py b/src/backend/base/langflow/custom/directory_reader/__init__.py
similarity index 100%
rename from src/backend/langflow/interface/custom/directory_reader/__init__.py
rename to src/backend/base/langflow/custom/directory_reader/__init__.py
diff --git a/src/backend/base/langflow/custom/directory_reader/directory_reader.py b/src/backend/base/langflow/custom/directory_reader/directory_reader.py
new file mode 100644
index 00000000000..1fb4ca93e5a
--- /dev/null
+++ b/src/backend/base/langflow/custom/directory_reader/directory_reader.py
@@ -0,0 +1,380 @@
+import ast
+import asyncio
+import os
+import zlib
+from pathlib import Path
+
+from loguru import logger
+
+from langflow.custom import CustomComponent
+
+
+class CustomComponentPathValueError(ValueError):
+    pass
+
+
+class StringCompressor:
+    def __init__(self, input_string):
+        """Initialize StringCompressor with a string to compress."""
+        self.input_string = input_string
+
+    def compress_string(self):
+        """
+        Compress the initial string and return the compressed data.
+        """
+        # Convert string to bytes
+        byte_data = self.input_string.encode("utf-8")
+        # Compress the bytes
+        self.compressed_data = zlib.compress(byte_data)
+
+        return self.compressed_data
+
+    def decompress_string(self):
+        """
+        Decompress the compressed data and return the original string.
+        """
+        # Decompress the bytes
+        decompressed_data = zlib.decompress(self.compressed_data)
+        # Convert bytes back to string
+        return decompressed_data.decode("utf-8")
+
+
+class DirectoryReader:
+    # Ensure the base path to read the files that contain
+    # the custom components from this directory.
+    base_path = ""
+
+    def __init__(self, directory_path, compress_code_field=False):
+        """
+        Initialize DirectoryReader with a directory path
+        and a flag indicating whether to compress the code.
+        """
+        self.directory_path = directory_path
+        self.compress_code_field = compress_code_field
+
+    def get_safe_path(self):
+        """Check if the path is valid and return it, or None if it's not."""
+        return self.directory_path if self.is_valid_path() else None
+
+    def is_valid_path(self) -> bool:
+        """Check if the directory path is valid by comparing it to the base path."""
+        fullpath = os.path.normpath(os.path.join(self.directory_path))
+        return fullpath.startswith(self.base_path)
+
+    def is_empty_file(self, file_content):
+        """
+        Check if the file content is empty.
+        """
+        return len(file_content.strip()) == 0
+
+    def filter_loaded_components(self, data: dict, with_errors: bool) -> dict:
+        from langflow.custom.utils import build_component
+
+        items = []
+        for menu in data["menu"]:
+            components = []
+            for component in menu["components"]:
+                try:
+                    if component["error"] if with_errors else not component["error"]:
+                        component_tuple = (*build_component(component), component)
+                        components.append(component_tuple)
+                except Exception as e:
+                    logger.debug(f"Error while loading component { component['name']}")
+                    logger.debug(e)
+                    continue
+            items.append({"name": menu["name"], "path": menu["path"], "components": components})
+        filtered = [menu for menu in items if menu["components"]]
+        logger.debug(f'Filtered components {"with errors" if with_errors else ""}: {len(filtered)}')
+        return {"menu": filtered}
+
+    def validate_code(self, file_content):
+        """
+        Validate the Python code by trying to parse it with ast.parse.
+        """
+        try:
+            ast.parse(file_content)
+            return True
+        except SyntaxError:
+            return False
+
+    def validate_build(self, file_content):
+        """
+        Check if the file content contains a function named 'build'.
+        """
+        return "def build" in file_content
+
+    def read_file_content(self, file_path):
+        """
+        Read and return the content of a file.
+        """
+        if not os.path.isfile(file_path):
+            return None
+        with open(file_path, "r", encoding="utf-8") as file:
+            # UnicodeDecodeError: 'charmap' codec can't decode byte 0x9d in position 3069: character maps to <undefined>
+            try:
+                return file.read()
+            except UnicodeDecodeError:
+                # This is happening in Windows, so we need to open the file in binary mode
+                # The file is always just a python file, so we can safely read it as utf-8
+                with open(file_path, "rb") as file:
+                    return file.read().decode("utf-8")
+
+    def get_files(self):
+        """
+        Walk through the directory path and return a list of all .py files.
+        """
+        if not (safe_path := self.get_safe_path()):
+            raise CustomComponentPathValueError(f"The path needs to start with '{self.base_path}'.")
+
+        file_list = []
+        safe_path_obj = Path(safe_path)
+        for file_path in safe_path_obj.rglob("*.py"):
+            # Check if the file is in the folder `deactivated` and if so, skip it
+            if "deactivated" in file_path.parent.name:
+                continue
+
+            # The other condtion is that it should be
+            # in the safe_path/[folder]/[file].py format
+            # any folders below [folder] will be ignored
+            # basically the parent folder of the file should be a
+            # folder in the safe_path
+            if file_path.is_file() and file_path.parent.parent == safe_path_obj and not file_path.name.startswith("__"):
+                file_list.append(str(file_path))
+        return file_list
+
+    def find_menu(self, response, menu_name):
+        """
+        Find and return a menu by its name in the response.
+        """
+        return next(
+            (menu for menu in response["menu"] if menu["name"] == menu_name),
+            None,
+        )
+
+    def _is_type_hint_imported(self, type_hint_name: str, code: str) -> bool:
+        """
+        Check if a specific type hint is imported
+        from the typing module in the given code.
+        """
+        module = ast.parse(code)
+
+        return any(
+            isinstance(node, ast.ImportFrom)
+            and node.module == "typing"
+            and any(alias.name == type_hint_name for alias in node.names)
+            for node in ast.walk(module)
+        )
+
+    def _is_type_hint_used_in_args(self, type_hint_name: str, code: str) -> bool:
+        """
+        Check if a specific type hint is used in the
+        function definitions within the given code.
+        """
+        try:
+            module = ast.parse(code)
+
+            for node in ast.walk(module):
+                if isinstance(node, ast.FunctionDef):
+                    for arg in node.args.args:
+                        if self._is_type_hint_in_arg_annotation(arg.annotation, type_hint_name):
+                            return True
+        except SyntaxError:
+            # Returns False if the code is not valid Python
+            return False
+        return False
+
+    def _is_type_hint_in_arg_annotation(self, annotation, type_hint_name: str) -> bool:
+        """
+        Helper function to check if a type hint exists in an annotation.
+        """
+        return (
+            annotation is not None
+            and isinstance(annotation, ast.Subscript)
+            and isinstance(annotation.value, ast.Name)
+            and annotation.value.id == type_hint_name
+        )
+
+    def is_type_hint_used_but_not_imported(self, type_hint_name: str, code: str) -> bool:
+        """
+        Check if a type hint is used but not imported in the given code.
+        """
+        try:
+            return self._is_type_hint_used_in_args(type_hint_name, code) and not self._is_type_hint_imported(
+                type_hint_name, code
+            )
+        except SyntaxError:
+            # Returns True if there's something wrong with the code
+            # TODO : Find a better way to handle this
+            return True
+
+    def process_file(self, file_path):
+        """
+        Process a file by validating its content and
+        returning the result and content/error message.
+        """
+        try:
+            file_content = self.read_file_content(file_path)
+        except Exception as exc:
+            logger.exception(exc)
+            logger.error(f"Error while reading file {file_path}: {str(exc)}")
+            return False, f"Could not read {file_path}"
+
+        if file_content is None:
+            return False, f"Could not read {file_path}"
+        elif self.is_empty_file(file_content):
+            return False, "Empty file"
+        elif not self.validate_code(file_content):
+            return False, "Syntax error"
+        elif self._is_type_hint_used_in_args("Optional", file_content) and not self._is_type_hint_imported(
+            "Optional", file_content
+        ):
+            return (
+                False,
+                "Type hint 'Optional' is used but not imported in the code.",
+            )
+        else:
+            if self.compress_code_field:
+                file_content = str(StringCompressor(file_content).compress_string())
+            return True, file_content
+
+    def build_component_menu_list(self, file_paths):
+        """
+        Build a list of menus with their components
+        from the .py files in the directory.
+        """
+        response = {"menu": []}
+        logger.debug("-------------------- Building component menu list --------------------")
+
+        for file_path in file_paths:
+            menu_name = os.path.basename(os.path.dirname(file_path))
+            filename = os.path.basename(file_path)
+            validation_result, result_content = self.process_file(file_path)
+            if not validation_result:
+                logger.error(f"Error while processing file {file_path}")
+
+            menu_result = self.find_menu(response, menu_name) or {
+                "name": menu_name,
+                "path": os.path.dirname(file_path),
+                "components": [],
+            }
+            component_name = filename.split(".")[0]
+            # This is the name of the file which will be displayed in the UI
+            # We need to change it from snake_case to CamelCase
+
+            # first check if it's already CamelCase
+            if "_" in component_name:
+                component_name_camelcase = " ".join(word.title() for word in component_name.split("_"))
+            else:
+                component_name_camelcase = component_name
+
+            if validation_result:
+                try:
+                    output_types = self.get_output_types_from_code(result_content)
+                except Exception:
+                    output_types = [component_name_camelcase]
+            else:
+                output_types = [component_name_camelcase]
+
+            component_info = {
+                "name": component_name_camelcase,
+                "output_types": output_types,
+                "file": filename,
+                "code": result_content if validation_result else "",
+                "error": "" if validation_result else result_content,
+            }
+            menu_result["components"].append(component_info)
+
+            if menu_result not in response["menu"]:
+                response["menu"].append(menu_result)
+        logger.debug("-------------------- Component menu list built --------------------")
+        return response
+
+    async def process_file_async(self, file_path):
+        try:
+            file_content = self.read_file_content(file_path)
+        except Exception as exc:
+            logger.exception(exc)
+            logger.error(f"Error while reading file {file_path}: {str(exc)}")
+            return False, f"Could not read {file_path}"
+
+        if file_content is None:
+            return False, f"Could not read {file_path}"
+        elif self.is_empty_file(file_content):
+            return False, "Empty file"
+        elif not self.validate_code(file_content):
+            return False, "Syntax error"
+        elif self._is_type_hint_used_in_args("Optional", file_content) and not self._is_type_hint_imported(
+            "Optional", file_content
+        ):
+            return (
+                False,
+                "Type hint 'Optional' is used but not imported in the code.",
+            )
+        else:
+            if self.compress_code_field:
+                file_content = str(StringCompressor(file_content).compress_string())
+            return True, file_content
+
+    async def get_output_types_from_code_async(self, code: str):
+        return await asyncio.to_thread(self.get_output_types_from_code, code)
+
+    async def abuild_component_menu_list(self, file_paths):
+        response = {"menu": []}
+        logger.debug("-------------------- Async Building component menu list --------------------")
+
+        tasks = [self.process_file_async(file_path) for file_path in file_paths]
+        results = await asyncio.gather(*tasks)
+
+        for file_path, (validation_result, result_content) in zip(file_paths, results):
+            menu_name = os.path.basename(os.path.dirname(file_path))
+            filename = os.path.basename(file_path)
+
+            if not validation_result:
+                logger.error(f"Error while processing file {file_path}")
+
+            menu_result = self.find_menu(response, menu_name) or {
+                "name": menu_name,
+                "path": os.path.dirname(file_path),
+                "components": [],
+            }
+            component_name = filename.split(".")[0]
+
+            if "_" in component_name:
+                component_name_camelcase = " ".join(word.title() for word in component_name.split("_"))
+            else:
+                component_name_camelcase = component_name
+
+            if validation_result:
+                try:
+                    output_types = await self.get_output_types_from_code_async(result_content)
+                except Exception as exc:
+                    logger.exception(f"Error while getting output types from code: {str(exc)}")
+                    output_types = [component_name_camelcase]
+            else:
+                output_types = [component_name_camelcase]
+
+            component_info = {
+                "name": component_name_camelcase,
+                "output_types": output_types,
+                "file": filename,
+                "code": result_content if validation_result else "",
+                "error": "" if validation_result else result_content,
+            }
+            menu_result["components"].append(component_info)
+
+            if menu_result not in response["menu"]:
+                response["menu"].append(menu_result)
+
+        logger.debug("-------------------- Component menu list built --------------------")
+        return response
+
+    @staticmethod
+    def get_output_types_from_code(code: str) -> list:
+        """
+        Get the output types from the code.
+        """
+        custom_component = CustomComponent(code=code)
+        types_list = custom_component.get_function_entrypoint_return_type
+
+        # Get the name of types classes
+        return [type_.__name__ for type_ in types_list if hasattr(type_, "__name__")]
diff --git a/src/backend/base/langflow/custom/directory_reader/utils.py b/src/backend/base/langflow/custom/directory_reader/utils.py
new file mode 100644
index 00000000000..331b72d2a8d
--- /dev/null
+++ b/src/backend/base/langflow/custom/directory_reader/utils.py
@@ -0,0 +1,171 @@
+from loguru import logger
+
+from langflow.custom.directory_reader import DirectoryReader
+from langflow.template.frontend_node.custom_components import CustomComponentFrontendNode
+
+
+def merge_nested_dicts_with_renaming(dict1, dict2):
+    for key, value in dict2.items():
+        if key in dict1 and isinstance(value, dict) and isinstance(dict1.get(key), dict):
+            for sub_key, sub_value in value.items():
+                # if sub_key in dict1[key]:
+                #     new_key = get_new_key(dict1[key], sub_key)
+                #     dict1[key][new_key] = sub_value
+                # else:
+                dict1[key][sub_key] = sub_value
+        else:
+            dict1[key] = value
+    return dict1
+
+
+def build_invalid_menu(invalid_components):
+    """Build the invalid menu."""
+    if not invalid_components.get("menu"):
+        return {}
+
+    logger.debug("------------------- INVALID COMPONENTS -------------------")
+    invalid_menu = {}
+    for menu_item in invalid_components["menu"]:
+        menu_name = menu_item["name"]
+        invalid_menu[menu_name] = build_invalid_menu_items(menu_item)
+    return invalid_menu
+
+
+def build_valid_menu(valid_components):
+    """Build the valid menu."""
+    valid_menu = {}
+    logger.debug("------------------- VALID COMPONENTS -------------------")
+    for menu_item in valid_components["menu"]:
+        menu_name = menu_item["name"]
+        valid_menu[menu_name] = build_menu_items(menu_item)
+    return valid_menu
+
+
+def build_and_validate_all_files(reader: DirectoryReader, file_list):
+    """Build and validate all files"""
+    data = reader.build_component_menu_list(file_list)
+
+    valid_components = reader.filter_loaded_components(data=data, with_errors=False)
+    invalid_components = reader.filter_loaded_components(data=data, with_errors=True)
+
+    return valid_components, invalid_components
+
+
+async def abuild_and_validate_all_files(reader: DirectoryReader, file_list):
+    """Build and validate all files"""
+    data = await reader.abuild_component_menu_list(file_list)
+
+    valid_components = reader.filter_loaded_components(data=data, with_errors=False)
+    invalid_components = reader.filter_loaded_components(data=data, with_errors=True)
+
+    return valid_components, invalid_components
+
+
+def load_files_from_path(path: str):
+    """Load all files from a given path"""
+    reader = DirectoryReader(path, False)
+
+    return reader.get_files()
+
+
+def build_custom_component_list_from_path(path: str):
+    """Build a list of custom components for the langchain from a given path"""
+    file_list = load_files_from_path(path)
+    reader = DirectoryReader(path, False)
+
+    valid_components, invalid_components = build_and_validate_all_files(reader, file_list)
+
+    valid_menu = build_valid_menu(valid_components)
+    invalid_menu = build_invalid_menu(invalid_components)
+
+    return merge_nested_dicts_with_renaming(valid_menu, invalid_menu)
+
+
+async def abuild_custom_component_list_from_path(path: str):
+    """Build a list of custom components for the langchain from a given path"""
+    file_list = load_files_from_path(path)
+    reader = DirectoryReader(path, False)
+
+    valid_components, invalid_components = await abuild_and_validate_all_files(reader, file_list)
+
+    valid_menu = build_valid_menu(valid_components)
+    invalid_menu = build_invalid_menu(invalid_components)
+
+    return merge_nested_dicts_with_renaming(valid_menu, invalid_menu)
+
+
+def create_invalid_component_template(component, component_name):
+    """Create a template for an invalid component."""
+    component_code = component["code"]
+    component_frontend_node = CustomComponentFrontendNode(
+        description="ERROR - Check your Python Code",
+        display_name=f"ERROR - {component_name}",
+    )
+
+    component_frontend_node.error = component.get("error", None)
+    field = component_frontend_node.template.get_field("code")
+    field.value = component_code
+    component_frontend_node.template.update_field("code", field)
+    return component_frontend_node.model_dump(by_alias=True, exclude_none=True)
+
+
+def log_invalid_component_details(component):
+    """Log details of an invalid component."""
+    logger.debug(component)
+    logger.debug(f"Component Path: {component.get('path', None)}")
+    logger.debug(f"Component Error: {component.get('error', None)}")
+
+
+def build_invalid_component(component):
+    """Build a single invalid component."""
+    component_name = component["name"]
+    component_template = create_invalid_component_template(component, component_name)
+    log_invalid_component_details(component)
+    return component_name, component_template
+
+
+def build_invalid_menu_items(menu_item):
+    """Build invalid menu items for a given menu."""
+    menu_items = {}
+    for component in menu_item["components"]:
+        try:
+            component_name, component_template = build_invalid_component(component)
+            menu_items[component_name] = component_template
+            logger.debug(f"Added {component_name} to invalid menu.")
+        except Exception as exc:
+            logger.exception(f"Error while creating custom component [{component_name}]: {str(exc)}")
+    return menu_items
+
+
+def get_new_key(dictionary, original_key):
+    counter = 1
+    new_key = original_key + " (" + str(counter) + ")"
+    while new_key in dictionary:
+        counter += 1
+        new_key = original_key + " (" + str(counter) + ")"
+    return new_key
+
+
+def determine_component_name(component):
+    """Determine the name of the component."""
+    # component_output_types = component["output_types"]
+    # if len(component_output_types) == 1:
+    #     return component_output_types[0]
+    # else:
+    #     file_name = component.get("file").split(".")[0]
+    #     return "".join(word.capitalize() for word in file_name.split("_")) if "_" in file_name else file_name
+    return component["name"]
+
+
+def build_menu_items(menu_item):
+    """Build menu items for a given menu."""
+    menu_items = {}
+    logger.debug(f"Building menu items for {menu_item['name']}")
+    logger.debug(f"Loading {len(menu_item['components'])} components")
+    for component_name, component_template, component in menu_item["components"]:
+        try:
+            menu_items[component_name] = component_template
+        except Exception as exc:
+            logger.error(f"Error loading Component: {component['output_types']}")
+            logger.exception(f"Error while building custom component {component['output_types']}: {exc}")
+    return menu_items
diff --git a/src/backend/base/langflow/custom/eval.py b/src/backend/base/langflow/custom/eval.py
new file mode 100644
index 00000000000..baa2024026a
--- /dev/null
+++ b/src/backend/base/langflow/custom/eval.py
@@ -0,0 +1,12 @@
+from typing import TYPE_CHECKING, Type
+
+from langflow.utils import validate
+
+if TYPE_CHECKING:
+    from langflow.custom import CustomComponent
+
+
+def eval_custom_component_code(code: str) -> Type["CustomComponent"]:
+    """Evaluate custom component code"""
+    class_name = validate.extract_class_name(code)
+    return validate.create_class(code, class_name)
diff --git a/src/backend/base/langflow/custom/schema.py b/src/backend/base/langflow/custom/schema.py
new file mode 100644
index 00000000000..1636882effd
--- /dev/null
+++ b/src/backend/base/langflow/custom/schema.py
@@ -0,0 +1,38 @@
+from typing import Any, Optional
+
+from pydantic import BaseModel, Field
+
+
+class ClassCodeDetails(BaseModel):
+    """
+    A dataclass for storing details about a class.
+    """
+
+    name: str
+    doc: Optional[str] = None
+    bases: list
+    attributes: list
+    methods: list
+    init: Optional[dict] = Field(default_factory=dict)
+
+
+class CallableCodeDetails(BaseModel):
+    """
+    A dataclass for storing details about a callable.
+    """
+
+    name: str
+    doc: Optional[str] = None
+    args: list
+    body: list
+    return_type: Optional[Any] = None
+    has_return: bool = False
+
+
+class MissingDefault:
+    """
+    A class to represent a missing default value.
+    """
+
+    def __repr__(self):
+        return "MISSING"
diff --git a/src/backend/base/langflow/custom/utils.py b/src/backend/base/langflow/custom/utils.py
new file mode 100644
index 00000000000..4dd96f1c2c3
--- /dev/null
+++ b/src/backend/base/langflow/custom/utils.py
@@ -0,0 +1,556 @@
+import ast
+import contextlib
+import re
+import traceback
+import warnings
+from typing import Any, Dict, List, Optional, Tuple, Union
+from uuid import UUID
+
+from fastapi import HTTPException
+from loguru import logger
+from pydantic import BaseModel
+
+from langflow.custom import CustomComponent
+from langflow.custom.custom_component.component import Component
+from langflow.custom.directory_reader.utils import (
+    abuild_custom_component_list_from_path,
+    build_custom_component_list_from_path,
+    determine_component_name,
+    merge_nested_dicts_with_renaming,
+)
+from langflow.custom.eval import eval_custom_component_code
+from langflow.custom.schema import MissingDefault
+from langflow.field_typing.range_spec import RangeSpec
+from langflow.helpers.custom import format_type
+from langflow.schema import dotdict
+from langflow.template.field.base import Input
+from langflow.template.frontend_node.custom_components import ComponentFrontendNode, CustomComponentFrontendNode
+from langflow.type_extraction.type_extraction import extract_inner_type
+from langflow.utils import validate
+from langflow.utils.util import get_base_classes
+
+
+class UpdateBuildConfigError(Exception):
+    pass
+
+
+def add_output_types(frontend_node: CustomComponentFrontendNode, return_types: List[str]):
+    """Add output types to the frontend node"""
+    for return_type in return_types:
+        if return_type is None:
+            raise HTTPException(
+                status_code=400,
+                detail={
+                    "error": ("Invalid return type. Please check your code and try again."),
+                    "traceback": traceback.format_exc(),
+                },
+            )
+        if return_type == str:
+            return_type = "Text"
+        elif hasattr(return_type, "__name__"):
+            return_type = return_type.__name__
+        elif hasattr(return_type, "__class__"):
+            return_type = return_type.__class__.__name__
+        else:
+            return_type = str(return_type)
+
+        frontend_node.add_output_type(return_type)
+
+
+def reorder_fields(frontend_node: CustomComponentFrontendNode, field_order: List[str]):
+    """Reorder fields in the frontend node based on the specified field_order."""
+    if not field_order:
+        return
+
+    # Create a dictionary for O(1) lookup time.
+    field_dict = {field.name: field for field in frontend_node.template.fields}
+    reordered_fields = [field_dict[name] for name in field_order if name in field_dict]
+    # Add any fields that are not in the field_order list
+    for field in frontend_node.template.fields:
+        if field.name not in field_order:
+            reordered_fields.append(field)
+    frontend_node.template.fields = reordered_fields
+    frontend_node.field_order = field_order
+
+
+def add_base_classes(frontend_node: CustomComponentFrontendNode, return_types: List[str]):
+    """Add base classes to the frontend node"""
+    for return_type_instance in return_types:
+        if return_type_instance is None:
+            raise HTTPException(
+                status_code=400,
+                detail={
+                    "error": ("Invalid return type. Please check your code and try again."),
+                    "traceback": traceback.format_exc(),
+                },
+            )
+
+        base_classes = get_base_classes(return_type_instance)
+        if return_type_instance == str:
+            base_classes.append("Text")
+
+        for base_class in base_classes:
+            frontend_node.add_base_class(base_class)
+
+
+def extract_type_from_optional(field_type):
+    """
+    Extract the type from a string formatted as "Optional[<type>]".
+
+    Parameters:
+    field_type (str): The string from which to extract the type.
+
+    Returns:
+    str: The extracted type, or an empty string if no type was found.
+    """
+    if "optional" not in field_type.lower():
+        return field_type
+    match = re.search(r"\[(.*?)\]$", field_type)
+    return match[1] if match else field_type
+
+
+def get_field_properties(extra_field):
+    """Get the properties of an extra field"""
+    field_name = extra_field["name"]
+    field_type = extra_field.get("type", "str")
+    field_value = extra_field.get("default", "")
+    # a required field is a field that does not contain
+    # optional in field_type
+    # and a field that does not have a default value
+    field_required = "optional" not in field_type.lower() and isinstance(field_value, MissingDefault)
+    field_value = field_value if not isinstance(field_value, MissingDefault) else None
+
+    if not field_required:
+        field_type = extract_type_from_optional(field_type)
+    if field_value is not None:
+        with contextlib.suppress(Exception):
+            field_value = ast.literal_eval(field_value)
+    return field_name, field_type, field_value, field_required
+
+
+def process_type(field_type: str):
+    if field_type.startswith("list") or field_type.startswith("List"):
+        return extract_inner_type(field_type)
+
+    # field_type is a string can be Prompt or Code too
+    # so we just need to lower if it is the case
+    lowercase_type = field_type.lower()
+    if lowercase_type in ["prompt", "code"]:
+        return lowercase_type
+    return field_type
+
+
+def add_new_custom_field(
+    frontend_node: CustomComponentFrontendNode,
+    field_name: str,
+    field_type: str,
+    field_value: Any,
+    field_required: bool,
+    field_config: dict,
+):
+    # Check field_config if any of the keys are in it
+    # if it is, update the value
+    display_name = field_config.pop("display_name", None)
+    if not field_type:
+        if "type" in field_config and field_config["type"] is not None:
+            field_type = field_config.pop("type")
+        elif "field_type" in field_config and field_config["field_type"] is not None:
+            field_type = field_config.pop("field_type")
+    field_contains_list = "list" in field_type.lower()
+    field_type = process_type(field_type)
+    field_value = field_config.pop("value", field_value)
+    field_advanced = field_config.pop("advanced", False)
+
+    if field_type == "Dict":
+        field_type = "dict"
+
+    if field_type == "bool" and field_value is None:
+        field_value = False
+
+    if field_type == "SecretStr":
+        field_config["password"] = True
+        field_config["load_from_db"] = True
+        field_config["input_types"] = ["Text"]
+
+    # If options is a list, then it's a dropdown
+    # If options is None, then it's a list of strings
+    is_list = isinstance(field_config.get("options"), list)
+    field_config["is_list"] = is_list or field_config.get("list", False) or field_contains_list
+
+    if "name" in field_config:
+        warnings.warn("The 'name' key in field_config is used to build the object and can't be changed.")
+    required = field_config.pop("required", field_required)
+    placeholder = field_config.pop("placeholder", "")
+
+    new_field = Input(
+        name=field_name,
+        field_type=field_type,
+        value=field_value,
+        show=True,
+        required=required,
+        advanced=field_advanced,
+        placeholder=placeholder,
+        display_name=display_name,
+        **sanitize_field_config(field_config),
+    )
+    frontend_node.template.upsert_field(field_name, new_field)
+    if isinstance(frontend_node.custom_fields, dict):
+        frontend_node.custom_fields[field_name] = None
+
+    return frontend_node
+
+
+def add_extra_fields(frontend_node, field_config, function_args):
+    """Add extra fields to the frontend node"""
+    if not function_args:
+        return
+    _field_config = field_config.copy()
+    function_args_names = [arg["name"] for arg in function_args]
+    # If kwargs is in the function_args and not all field_config keys are in function_args
+    # then we need to add the extra fields
+
+    for extra_field in function_args:
+        if "name" not in extra_field or extra_field["name"] in [
+            "self",
+            "kwargs",
+            "args",
+        ]:
+            continue
+
+        field_name, field_type, field_value, field_required = get_field_properties(extra_field)
+        config = _field_config.pop(field_name, {})
+        frontend_node = add_new_custom_field(
+            frontend_node,
+            field_name,
+            field_type,
+            field_value,
+            field_required,
+            config,
+        )
+    if "kwargs" in function_args_names and not all(key in function_args_names for key in field_config.keys()):
+        for field_name, field_config in _field_config.copy().items():
+            if "name" not in field_config or field_name == "code":
+                continue
+            config = _field_config.get(field_name, {})
+            config = config.model_dump() if isinstance(config, BaseModel) else config
+            field_name, field_type, field_value, field_required = get_field_properties(extra_field=config)
+            frontend_node = add_new_custom_field(
+                frontend_node,
+                field_name,
+                field_type,
+                field_value,
+                field_required,
+                config,
+            )
+
+
+def get_field_dict(field: Union[Input, dict]):
+    """Get the field dictionary from a Input or a dict"""
+    if isinstance(field, Input):
+        return dotdict(field.model_dump(by_alias=True, exclude_none=True))
+    return field
+
+
+def run_build_inputs(
+    custom_component: Component,
+    user_id: Optional[Union[str, UUID]] = None,
+):
+    """Run the build inputs of a custom component."""
+    try:
+        field_config = custom_component.build_inputs(user_id=user_id)
+        # add_extra_fields(frontend_node, field_config, field_config.values())
+        return field_config
+    except Exception as exc:
+        logger.error(f"Error running build inputs: {exc}")
+        raise HTTPException(status_code=500, detail=str(exc)) from exc
+
+
+def get_component_instance(custom_component: CustomComponent, user_id: Optional[Union[str, UUID]] = None):
+    try:
+        if custom_component.code is None:
+            raise ValueError("Code is None")
+        elif isinstance(custom_component.code, str):
+            custom_class = eval_custom_component_code(custom_component.code)
+        else:
+            raise ValueError("Invalid code type")
+    except Exception as exc:
+        logger.error(f"Error while evaluating custom component code: {str(exc)}")
+        raise HTTPException(
+            status_code=400,
+            detail={
+                "error": ("Invalid type convertion. Please check your code and try again."),
+                "traceback": traceback.format_exc(),
+            },
+        ) from exc
+
+    try:
+        custom_instance = custom_class(user_id=user_id)
+        return custom_instance
+    except Exception as exc:
+        logger.error(f"Error while instantiating custom component: {str(exc)}")
+        if hasattr(exc, "detail") and "traceback" in exc.detail:
+            logger.error(exc.detail["traceback"])
+
+        raise exc
+
+
+def run_build_config(
+    custom_component: CustomComponent,
+    user_id: Optional[Union[str, UUID]] = None,
+) -> Tuple[dict, CustomComponent]:
+    """Build the field configuration for a custom component"""
+
+    try:
+        if custom_component.code is None:
+            raise ValueError("Code is None")
+        elif isinstance(custom_component.code, str):
+            custom_class = eval_custom_component_code(custom_component.code)
+        else:
+            raise ValueError("Invalid code type")
+    except Exception as exc:
+        logger.error(f"Error while evaluating custom component code: {str(exc)}")
+        raise HTTPException(
+            status_code=400,
+            detail={
+                "error": ("Invalid type convertion. Please check your code and try again."),
+                "traceback": traceback.format_exc(),
+            },
+        ) from exc
+
+    try:
+        custom_instance = custom_class(user_id=user_id)
+        build_config: Dict = custom_instance.build_config()
+
+        for field_name, field in build_config.copy().items():
+            # Allow user to build Input as well
+            # as a dict with the same keys as Input
+            field_dict = get_field_dict(field)
+            # Let's check if "rangeSpec" is a RangeSpec object
+            if "rangeSpec" in field_dict and isinstance(field_dict["rangeSpec"], RangeSpec):
+                field_dict["rangeSpec"] = field_dict["rangeSpec"].model_dump()
+            build_config[field_name] = field_dict
+
+        return build_config, custom_instance
+
+    except Exception as exc:
+        logger.error(f"Error while building field config: {str(exc)}")
+        if hasattr(exc, "detail") and "traceback" in exc.detail:
+            logger.error(exc.detail["traceback"])
+
+        raise exc
+
+
+def add_code_field(frontend_node: CustomComponentFrontendNode, raw_code, field_config):
+    code_field = Input(
+        dynamic=True,
+        required=True,
+        placeholder="",
+        multiline=True,
+        value=raw_code,
+        password=False,
+        name="code",
+        advanced=True,
+        field_type="code",
+        is_list=False,
+    )
+    frontend_node.template.add_field(code_field)
+
+    return frontend_node
+
+
+def build_custom_component_template_from_inputs(
+    custom_component: Union[Component, CustomComponent], user_id: Optional[Union[str, UUID]] = None
+):
+    # The List of Inputs fills the role of the build_config and the entrypoint_args
+    field_config = custom_component.template_config
+    frontend_node = ComponentFrontendNode.from_inputs(**field_config)
+    frontend_node = add_code_field(frontend_node, custom_component.code, field_config.get("code", {}))
+    # But we now need to calculate the return_type of the methods in the outputs
+    for output in frontend_node.outputs:
+        if output.types:
+            continue
+        return_types = custom_component.get_method_return_type(output.method)
+        return_types = [format_type(return_type) for return_type in return_types]
+        output.add_types(return_types)
+        output.set_selected()
+    # Validate that there is not name overlap between inputs and outputs
+    frontend_node.validate_component()
+    # ! This should be removed when we have a better way to handle this
+    frontend_node.set_base_classes_from_outputs()
+    reorder_fields(frontend_node, custom_component._get_field_order())
+    cc_instance = get_component_instance(custom_component, user_id=user_id)
+    return frontend_node.to_dict(add_name=False), cc_instance
+
+
+def build_custom_component_template(
+    custom_component: CustomComponent,
+    user_id: Optional[Union[str, UUID]] = None,
+) -> Tuple[Dict[str, Any], CustomComponent | Component]:
+    """Build a custom component template"""
+    try:
+        if "inputs" in custom_component.template_config:
+            return build_custom_component_template_from_inputs(custom_component, user_id=user_id)
+        frontend_node = CustomComponentFrontendNode(**custom_component.template_config)
+
+        field_config, custom_instance = run_build_config(
+            custom_component,
+            user_id=user_id,
+        )
+
+        entrypoint_args = custom_component.get_function_entrypoint_args
+
+        add_extra_fields(frontend_node, field_config, entrypoint_args)
+
+        frontend_node = add_code_field(frontend_node, custom_component.code, field_config.get("code", {}))
+
+        add_base_classes(frontend_node, custom_component.get_function_entrypoint_return_type)
+        add_output_types(frontend_node, custom_component.get_function_entrypoint_return_type)
+
+        reorder_fields(frontend_node, custom_instance._get_field_order())
+
+        return frontend_node.to_dict(add_name=False), custom_instance
+    except Exception as exc:
+        if isinstance(exc, HTTPException):
+            raise exc
+        raise HTTPException(
+            status_code=400,
+            detail={
+                "error": (f"Something went wrong while building the custom component. Hints: {str(exc)}"),
+                "traceback": traceback.format_exc(),
+            },
+        ) from exc
+
+
+def create_component_template(component):
+    """Create a template for a component."""
+    component_code = component["code"]
+    component_output_types = component["output_types"]
+
+    component_extractor = Component(code=component_code)
+
+    component_template, _ = build_custom_component_template(component_extractor)
+    if not component_template["output_types"] and component_output_types:
+        component_template["output_types"] = component_output_types
+
+    return component_template
+
+
+def build_custom_components(components_paths: List[str]):
+    """Build custom components from the specified paths."""
+    if not components_paths:
+        return {}
+
+    logger.info(f"Building custom components from {components_paths}")
+    custom_components_from_file: dict = {}
+    processed_paths = set()
+    for path in components_paths:
+        path_str = str(path)
+        if path_str in processed_paths:
+            continue
+
+        custom_component_dict = build_custom_component_list_from_path(path_str)
+        if custom_component_dict:
+            category = next(iter(custom_component_dict))
+            logger.info(f"Loading {len(custom_component_dict[category])} component(s) from category {category}")
+            custom_components_from_file = merge_nested_dicts_with_renaming(
+                custom_components_from_file, custom_component_dict
+            )
+        processed_paths.add(path_str)
+
+    return custom_components_from_file
+
+
+async def abuild_custom_components(components_paths: List[str]):
+    """Build custom components from the specified paths."""
+    if not components_paths:
+        return {}
+
+    logger.info(f"Building custom components from {components_paths}")
+    custom_components_from_file: dict = {}
+    processed_paths = set()
+    for path in components_paths:
+        path_str = str(path)
+        if path_str in processed_paths:
+            continue
+
+        custom_component_dict = await abuild_custom_component_list_from_path(path_str)
+        if custom_component_dict:
+            category = next(iter(custom_component_dict))
+            logger.info(f"Loading {len(custom_component_dict[category])} component(s) from category {category}")
+            custom_components_from_file = merge_nested_dicts_with_renaming(
+                custom_components_from_file, custom_component_dict
+            )
+        processed_paths.add(path_str)
+
+    return custom_components_from_file
+
+
+def update_field_dict(
+    custom_component_instance: "CustomComponent",
+    field_dict: Dict,
+    build_config: Dict,
+    update_field: Optional[str] = None,
+    update_field_value: Optional[Any] = None,
+    call: bool = False,
+):
+    """Update the field dictionary by calling options() or value() if they are callable"""
+    if ("real_time_refresh" in field_dict or "refresh_button" in field_dict) and any(
+        (
+            field_dict.get("real_time_refresh", False),
+            field_dict.get("refresh_button", False),
+        )
+    ):
+        if call:
+            try:
+                dd_build_config = dotdict(build_config)
+                custom_component_instance.update_build_config(
+                    build_config=dd_build_config,
+                    field_value=update_field,
+                    field_name=update_field_value,
+                )
+                build_config = dd_build_config
+            except Exception as exc:
+                logger.error(f"Error while running update_build_config: {str(exc)}")
+                raise UpdateBuildConfigError(f"Error while running update_build_config: {str(exc)}") from exc
+
+    return build_config
+
+
+def sanitize_field_config(field_config: Union[Dict, Input]):
+    # If any of the already existing keys are in field_config, remove them
+    if isinstance(field_config, Input):
+        field_dict = field_config.to_dict()
+    else:
+        field_dict = field_config
+    for key in [
+        "name",
+        "field_type",
+        "value",
+        "required",
+        "placeholder",
+        "display_name",
+        "advanced",
+        "show",
+    ]:
+        field_dict.pop(key, None)
+
+    # Remove field_type and type because they were extracted already
+    field_dict.pop("field_type", None)
+    field_dict.pop("type", None)
+
+    return field_dict
+
+
+def build_component(component):
+    """Build a single component."""
+    component_name = determine_component_name(component)
+    component_template = create_component_template(component)
+
+    return component_name, component_template
+
+
+def get_function(code):
+    """Get the function"""
+    function_name = validate.extract_function_name(code)
+
+    return validate.create_function(code, function_name)
diff --git a/src/backend/langflow/interface/__init__.py b/src/backend/base/langflow/exceptions/__init__.py
similarity index 100%
rename from src/backend/langflow/interface/__init__.py
rename to src/backend/base/langflow/exceptions/__init__.py
diff --git a/src/backend/base/langflow/exceptions/component.py b/src/backend/base/langflow/exceptions/component.py
new file mode 100644
index 00000000000..a4a5575651e
--- /dev/null
+++ b/src/backend/base/langflow/exceptions/component.py
@@ -0,0 +1,6 @@
+# Create an exception class that receives the message and the formatted traceback
+class ComponentBuildException(Exception):
+    def __init__(self, message: str, formatted_traceback: str):
+        self.message = message
+        self.formatted_traceback = formatted_traceback
+        super().__init__(message)
diff --git a/src/backend/base/langflow/field_typing/__init__.py b/src/backend/base/langflow/field_typing/__init__.py
new file mode 100644
index 00000000000..bd25f6cf4b7
--- /dev/null
+++ b/src/backend/base/langflow/field_typing/__init__.py
@@ -0,0 +1,87 @@
+from typing import Any
+
+from .constants import (
+    AgentExecutor,
+    BaseChatMemory,
+    BaseChatModel,
+    BaseLanguageModel,
+    BaseLLM,
+    BaseLoader,
+    BaseMemory,
+    BaseOutputParser,
+    BasePromptTemplate,
+    BaseRetriever,
+    Callable,
+    Chain,
+    ChatPromptTemplate,
+    Code,
+    Data,
+    Document,
+    Embeddings,
+    NestedDict,
+    Object,
+    PromptTemplate,
+    Retriever,
+    Text,
+    TextSplitter,
+    Tool,
+    VectorStore,
+)
+from .range_spec import RangeSpec
+
+
+def _import_input_class():
+    from langflow.template.field.base import Input
+
+    return Input
+
+
+def _import_output_class():
+    from langflow.template.field.base import Output
+
+    return Output
+
+
+def __getattr__(name: str) -> Any:
+    # This is to avoid circular imports
+    if name == "Input":
+        return _import_input_class()
+        return RangeSpec
+    elif name == "Output":
+        return _import_output_class()
+    # The other names should work as if they were imported from constants
+    # Import the constants module langflow.field_typing.constants
+    from . import constants
+
+    return getattr(constants, name)
+
+
+__all__ = [
+    "AgentExecutor",
+    "BaseChatMemory",
+    "BaseLanguageModel",
+    "BaseLLM",
+    "BaseLoader",
+    "BaseMemory",
+    "BaseOutputParser",
+    "BasePromptTemplate",
+    "BaseRetriever",
+    "Callable",
+    "Chain",
+    "ChatPromptTemplate",
+    "Code",
+    "Data",
+    "Document",
+    "Embeddings",
+    "Input",
+    "NestedDict",
+    "Object",
+    "PromptTemplate",
+    "RangeSpec",
+    "TextSplitter",
+    "Tool",
+    "VectorStore",
+    "BaseChatModel",
+    "Retriever",
+    "Text",
+]
diff --git a/src/backend/base/langflow/field_typing/constants.py b/src/backend/base/langflow/field_typing/constants.py
new file mode 100644
index 00000000000..a857de59ebf
--- /dev/null
+++ b/src/backend/base/langflow/field_typing/constants.py
@@ -0,0 +1,73 @@
+from typing import Callable, Dict, Text, TypeAlias, TypeVar, Union
+
+from langchain.agents.agent import AgentExecutor
+from langchain.chains.base import Chain
+from langchain.memory.chat_memory import BaseChatMemory
+from langchain_core.document_loaders import BaseLoader
+from langchain_core.documents import Document
+from langchain_core.embeddings import Embeddings
+from langchain_core.language_models import BaseLanguageModel, BaseLLM
+from langchain_core.language_models.chat_models import BaseChatModel
+from langchain_core.memory import BaseMemory
+from langchain_core.output_parsers import BaseOutputParser
+from langchain_core.prompts import BasePromptTemplate, ChatPromptTemplate, PromptTemplate
+from langchain_core.retrievers import BaseRetriever
+from langchain_core.tools import Tool
+from langchain_core.vectorstores import VectorStore, VectorStoreRetriever
+from langchain_text_splitters import TextSplitter
+
+from langflow.schema.message import Message
+
+NestedDict: TypeAlias = Dict[str, Union[str, Dict]]
+LanguageModel = TypeVar("LanguageModel", BaseLanguageModel, BaseLLM, BaseChatModel)
+Retriever = TypeVar(
+    "Retriever",
+    BaseRetriever,
+    VectorStoreRetriever,
+)
+
+
+class Object:
+    pass
+
+
+class Data:
+    pass
+
+
+class Code:
+    pass
+
+
+LANGCHAIN_BASE_TYPES = {
+    "Chain": Chain,
+    "AgentExecutor": AgentExecutor,
+    "Tool": Tool,
+    "BaseLLM": BaseLLM,
+    "BaseLanguageModel": BaseLanguageModel,
+    "PromptTemplate": PromptTemplate,
+    "ChatPromptTemplate": ChatPromptTemplate,
+    "BasePromptTemplate": BasePromptTemplate,
+    "BaseLoader": BaseLoader,
+    "Document": Document,
+    "TextSplitter": TextSplitter,
+    "VectorStore": VectorStore,
+    "Embeddings": Embeddings,
+    "BaseRetriever": BaseRetriever,
+    "BaseOutputParser": BaseOutputParser,
+    "BaseMemory": BaseMemory,
+    "BaseChatMemory": BaseChatMemory,
+    "BaseChatModel": BaseChatModel,
+}
+# Langchain base types plus Python base types
+CUSTOM_COMPONENT_SUPPORTED_TYPES = {
+    **LANGCHAIN_BASE_TYPES,
+    "NestedDict": NestedDict,
+    "Data": Data,
+    "Message": Message,
+    "Text": Text,
+    "Object": Object,
+    "Callable": Callable,
+    "LanguageModel": LanguageModel,
+    "Retriever": Retriever,
+}
diff --git a/src/backend/base/langflow/field_typing/range_spec.py b/src/backend/base/langflow/field_typing/range_spec.py
new file mode 100644
index 00000000000..78ed2e4353b
--- /dev/null
+++ b/src/backend/base/langflow/field_typing/range_spec.py
@@ -0,0 +1,30 @@
+from typing import Literal
+
+from pydantic import BaseModel, field_validator
+
+
+class RangeSpec(BaseModel):
+    step_type: Literal["int", "float"] = "float"
+    min: float = -1.0
+    max: float = 1.0
+    step: float = 0.1
+
+    @field_validator("max")
+    @classmethod
+    def max_must_be_greater_than_min(cls, v, values, **kwargs):
+        if "min" in values.data and v <= values.data["min"]:
+            raise ValueError("Max must be greater than min")
+        return v
+
+    @field_validator("step")
+    @classmethod
+    def step_must_be_positive(cls, v, values, **kwargs):
+        if v <= 0:
+            raise ValueError("Step must be positive")
+        if values.data["step_type"] == "int" and isinstance(v, float) and not v.is_integer():
+            raise ValueError("When step_type is int, step must be an integer")
+        return v
+
+    @classmethod
+    def set_step_type(cls, step_type: Literal["int", "float"], range_spec: "RangeSpec") -> "RangeSpec":
+        return cls(min=range_spec.min, max=range_spec.max, step=range_spec.step, step_type=step_type)
diff --git a/src/backend/base/langflow/graph/__init__.py b/src/backend/base/langflow/graph/__init__.py
new file mode 100644
index 00000000000..bb93f92cfbd
--- /dev/null
+++ b/src/backend/base/langflow/graph/__init__.py
@@ -0,0 +1,6 @@
+from langflow.graph.edge.base import Edge
+from langflow.graph.graph.base import Graph
+from langflow.graph.vertex.base import Vertex
+from langflow.graph.vertex.types import CustomComponentVertex, InterfaceVertex, StateVertex
+
+__all__ = ["Edge", "Graph", "Vertex", "CustomComponentVertex", "InterfaceVertex", "StateVertex"]
diff --git a/src/backend/langflow/interface/document_loaders/__init__.py b/src/backend/base/langflow/graph/edge/__init__.py
similarity index 100%
rename from src/backend/langflow/interface/document_loaders/__init__.py
rename to src/backend/base/langflow/graph/edge/__init__.py
diff --git a/src/backend/base/langflow/graph/edge/base.py b/src/backend/base/langflow/graph/edge/base.py
new file mode 100644
index 00000000000..ca4856b233f
--- /dev/null
+++ b/src/backend/base/langflow/graph/edge/base.py
@@ -0,0 +1,237 @@
+from typing import TYPE_CHECKING, Any, List, Optional
+
+from loguru import logger
+from pydantic import BaseModel, Field, field_validator
+
+from langflow.schema.schema import INPUT_FIELD_NAME
+from langflow.services.monitor.utils import log_message
+
+if TYPE_CHECKING:
+    from langflow.graph.vertex.base import Vertex
+
+
+class SourceHandle(BaseModel):
+    baseClasses: list[str] = Field(default_factory=list, description="List of base classes for the source handle.")
+    dataType: str = Field(..., description="Data type for the source handle.")
+    id: str = Field(..., description="Unique identifier for the source handle.")
+    name: Optional[str] = Field(None, description="Name of the source handle.")
+    output_types: List[str] = Field(default_factory=list, description="List of output types for the source handle.")
+
+    @field_validator("name", mode="before")
+    @classmethod
+    def validate_name(cls, v, _info):
+        if _info.data["dataType"] == "GroupNode":
+            # 'OpenAIModel-u4iGV_text_output'
+            splits = v.split("_", 1)
+            if len(splits) != 2:
+                raise ValueError(f"Invalid source handle name {v}")
+            v = splits[1]
+        return v
+
+
+class TargetHandle(BaseModel):
+    fieldName: str = Field(..., description="Field name for the target handle.")
+    id: str = Field(..., description="Unique identifier for the target handle.")
+    inputTypes: Optional[List[str]] = Field(None, description="List of input types for the target handle.")
+    type: str = Field(..., description="Type of the target handle.")
+
+
+class Edge:
+    def __init__(self, source: "Vertex", target: "Vertex", edge: dict):
+        self.source_id: str = source.id if source else ""
+        self.target_id: str = target.id if target else ""
+        if data := edge.get("data", {}):
+            self._source_handle = data.get("sourceHandle", {})
+            self._target_handle = data.get("targetHandle", {})
+            self.source_handle: SourceHandle = SourceHandle(**self._source_handle)
+            self.target_handle: TargetHandle = TargetHandle(**self._target_handle)
+            self.target_param = self.target_handle.fieldName
+            # validate handles
+            self.validate_handles(source, target)
+        else:
+            # Logging here because this is a breaking change
+            logger.error("Edge data is empty")
+            self._source_handle = edge.get("sourceHandle", "")
+            self._target_handle = edge.get("targetHandle", "")
+            # 'BaseLoader;BaseOutputParser|documents|PromptTemplate-zmTlD'
+            # target_param is documents
+            self.target_param = self._target_handle.split("|")[1]
+        # Validate in __init__ to fail fast
+        self.validate_edge(source, target)
+
+    def validate_handles(self, source, target) -> None:
+        if isinstance(self._source_handle, str) or self.source_handle.baseClasses:
+            self._legacy_validate_handles(source, target)
+        else:
+            self._validate_handles(source, target)
+
+    def _validate_handles(self, source, target) -> None:
+        if self.target_handle.inputTypes is None:
+            self.valid_handles = self.target_handle.type in self.source_handle.output_types
+
+        elif self.source_handle.output_types is not None:
+            self.valid_handles = (
+                any(output_type in self.target_handle.inputTypes for output_type in self.source_handle.output_types)
+                or self.target_handle.type in self.source_handle.output_types
+            )
+
+        if not self.valid_handles:
+            logger.debug(self.source_handle)
+            logger.debug(self.target_handle)
+            raise ValueError(f"Edge between {source.vertex_type} and {target.vertex_type} " f"has invalid handles")
+
+    def _legacy_validate_handles(self, source, target) -> None:
+        if self.target_handle.inputTypes is None:
+            self.valid_handles = self.target_handle.type in self.source_handle.baseClasses
+        else:
+            self.valid_handles = (
+                any(baseClass in self.target_handle.inputTypes for baseClass in self.source_handle.baseClasses)
+                or self.target_handle.type in self.source_handle.baseClasses
+            )
+        if not self.valid_handles:
+            logger.debug(self.source_handle)
+            logger.debug(self.target_handle)
+            raise ValueError(f"Edge between {source.vertex_type} and {target.vertex_type} " f"has invalid handles")
+
+    def __setstate__(self, state):
+        self.source_id = state["source_id"]
+        self.target_id = state["target_id"]
+        self.target_param = state["target_param"]
+        self.source_handle = state.get("source_handle")
+        self.target_handle = state.get("target_handle")
+
+    def validate_edge(self, source, target) -> None:
+        # If the self.source_handle has baseClasses, then we are using the legacy
+        # way of defining the source and target handles
+        if isinstance(self._source_handle, str) or self.source_handle.baseClasses:
+            self._legacy_validate_edge(source, target)
+        else:
+            self._validate_edge(source, target)
+
+    def _validate_edge(self, source, target) -> None:
+        # Validate that the outputs of the source node are valid inputs
+        # for the target node
+        # .outputs is a list of Output objects as dictionaries
+        # meaning: check for "types" key in each dictionary
+        self.source_types = [output for output in source.outputs if output["name"] == self.source_handle.name]
+        self.target_reqs = target.required_inputs + target.optional_inputs
+        # Both lists contain strings and sometimes a string contains the value we are
+        # looking for e.g. comgin_out=["Chain"] and target_reqs=["LLMChain"]
+        # so we need to check if any of the strings in source_types is in target_reqs
+        self.valid = any(
+            any(output_type in target_req for output_type in output["types"])
+            for output in self.source_types
+            for target_req in self.target_reqs
+        )
+        # Get what type of input the target node is expecting
+
+        # Update the matched type to be the first found match
+        self.matched_type = next(
+            (
+                output_type
+                for output in self.source_types
+                for output_type in output["types"]
+                for target_req in self.target_reqs
+                if output_type in target_req
+            ),
+            None,
+        )
+        no_matched_type = self.matched_type is None
+        if no_matched_type:
+            logger.debug(self.source_types)
+            logger.debug(self.target_reqs)
+            raise ValueError(f"Edge between {source.vertex_type} and {target.vertex_type} " f"has no matched type. ")
+
+    def _legacy_validate_edge(self, source, target) -> None:
+        # Validate that the outputs of the source node are valid inputs
+        # for the target node
+        self.source_types = source.output
+        self.target_reqs = target.required_inputs + target.optional_inputs
+        # Both lists contain strings and sometimes a string contains the value we are
+        # looking for e.g. comgin_out=["Chain"] and target_reqs=["LLMChain"]
+        # so we need to check if any of the strings in source_types is in target_reqs
+        self.valid = any(output in target_req for output in self.source_types for target_req in self.target_reqs)
+        # Get what type of input the target node is expecting
+
+        self.matched_type = next(
+            (output for output in self.source_types if output in self.target_reqs),
+            None,
+        )
+        no_matched_type = self.matched_type is None
+        if no_matched_type:
+            logger.debug(self.source_types)
+            logger.debug(self.target_reqs)
+            raise ValueError(f"Edge between {source.vertex_type} and {target.vertex_type} " f"has no matched type")
+
+    def __repr__(self) -> str:
+        return (
+            f"Edge(source={self.source_id}, target={self.target_id}, target_param={self.target_param}"
+            f", matched_type={self.matched_type})"
+        )
+
+    def __hash__(self) -> int:
+        return hash(self.__repr__())
+
+    def __eq__(self, __o: object) -> bool:
+        if not isinstance(__o, Edge):
+            return False
+        return (
+            self._source_handle == __o._source_handle
+            and self._target_handle == __o._target_handle
+            and self.target_param == __o.target_param
+        )
+
+
+class ContractEdge(Edge):
+    def __init__(self, source: "Vertex", target: "Vertex", raw_edge: dict):
+        super().__init__(source, target, raw_edge)
+        self.is_fulfilled = False  # Whether the contract has been fulfilled.
+        self.result: Any = None
+
+    async def honor(self, source: "Vertex", target: "Vertex") -> None:
+        """
+        Fulfills the contract by setting the result of the source vertex to the target vertex's parameter.
+        If the edge is runnable, the source vertex is run with the message text and the target vertex's
+        root_field param is set to the
+        result. If the edge is not runnable, the target vertex's parameter is set to the result.
+        :param message: The message object to be processed if the edge is runnable.
+        """
+        if self.is_fulfilled:
+            return
+
+        if not source._built:
+            # The system should be read-only, so we should not be building vertices
+            # that are not already built.
+            raise ValueError(f"Source vertex {source.id} is not built.")
+
+        if self.matched_type == "Text":
+            self.result = source._built_result
+        else:
+            self.result = source._built_object
+
+        target.params[self.target_param] = self.result
+        self.is_fulfilled = True
+
+    async def get_result_from_source(self, source: "Vertex", target: "Vertex"):
+        # Fulfill the contract if it has not been fulfilled.
+        if not self.is_fulfilled:
+            await self.honor(source, target)
+
+        # If the target vertex is a power component we log messages
+        if target.vertex_type == "ChatOutput" and (
+            isinstance(target.params.get(INPUT_FIELD_NAME), str)
+            or isinstance(target.params.get(INPUT_FIELD_NAME), dict)
+        ):
+            if target.params.get("message") == "":
+                return self.result
+            await log_message(
+                sender=target.params.get("sender", ""),
+                sender_name=target.params.get("sender_name", ""),
+                message=target.params.get(INPUT_FIELD_NAME, {}),
+                session_id=target.params.get("session_id", ""),
+                flow_id=target.graph.flow_id,
+            )
+        return self.result
+
+    def __repr__(self) -> str:
+        return f"{self.source_id} -[{self.target_param}]-> {self.target_id}"
diff --git a/src/backend/base/langflow/graph/edge/schema.py b/src/backend/base/langflow/graph/edge/schema.py
new file mode 100644
index 00000000000..628073d1326
--- /dev/null
+++ b/src/backend/base/langflow/graph/edge/schema.py
@@ -0,0 +1,34 @@
+from typing import Optional, Any, List
+from pydantic import BaseModel
+
+
+class ResultPair(BaseModel):
+    result: Any
+    extra: Any
+
+
+class Payload(BaseModel):
+    result_pairs: List[ResultPair] = []
+
+    def __iter__(self):
+        return iter(self.result_pairs)
+
+    def add_result_pair(self, result: Any, extra: Optional[Any] = None) -> None:
+        self.result_pairs.append(ResultPair(result=result, extra=extra))
+
+    def get_last_result_pair(self) -> ResultPair:
+        return self.result_pairs[-1]
+
+    # format all but the last result pair
+    # into a string
+    def format(self, sep: str = "\n") -> str:
+        # Result: the result
+        # Extra: the extra if it exists don't show if it doesn't
+        return sep.join(
+            [
+                f"Result: {result_pair.result}\nExtra: {result_pair.extra}"
+                if result_pair.extra is not None
+                else f"Result: {result_pair.result}"
+                for result_pair in self.result_pairs[:-1]
+            ]
+        )
diff --git a/tests/utils.py b/src/backend/base/langflow/graph/edge/utils.py
similarity index 100%
rename from tests/utils.py
rename to src/backend/base/langflow/graph/edge/utils.py
diff --git a/src/backend/langflow/interface/embeddings/__init__.py b/src/backend/base/langflow/graph/graph/__init__.py
similarity index 100%
rename from src/backend/langflow/interface/embeddings/__init__.py
rename to src/backend/base/langflow/graph/graph/__init__.py
diff --git a/src/backend/base/langflow/graph/graph/base.py b/src/backend/base/langflow/graph/graph/base.py
new file mode 100644
index 00000000000..46f562c9589
--- /dev/null
+++ b/src/backend/base/langflow/graph/graph/base.py
@@ -0,0 +1,1484 @@
+import asyncio
+import traceback
+import uuid
+from collections import defaultdict, deque
+from datetime import datetime, timezone
+from functools import partial
+from itertools import chain
+from typing import TYPE_CHECKING, Any, Dict, Generator, List, Optional, Tuple, Type, Union
+
+from loguru import logger
+
+from langflow.exceptions.component import ComponentBuildException
+from langflow.graph.edge.base import ContractEdge
+from langflow.graph.graph.constants import lazy_load_vertex_dict
+from langflow.graph.graph.runnable_vertices_manager import RunnableVerticesManager
+from langflow.graph.graph.state_manager import GraphStateManager
+from langflow.graph.graph.utils import process_flow
+from langflow.graph.schema import InterfaceComponentTypes, RunOutputs
+from langflow.graph.vertex.base import Vertex
+from langflow.graph.vertex.types import InterfaceVertex, StateVertex
+from langflow.schema import Data
+from langflow.schema.schema import INPUT_FIELD_NAME, InputType
+from langflow.services.cache.utils import CacheMiss
+from langflow.services.chat.service import ChatService
+from langflow.services.deps import get_chat_service, get_tracing_service
+from langflow.services.monitor.utils import log_transaction
+
+if TYPE_CHECKING:
+    from langflow.graph.schema import ResultData
+    from langflow.services.tracing.service import TracingService
+
+
+class Graph:
+    """A class representing a graph of vertices and edges."""
+
+    def __init__(
+        self,
+        nodes: List[Dict],
+        edges: List[Dict[str, str]],
+        flow_id: Optional[str] = None,
+        flow_name: Optional[str] = None,
+        user_id: Optional[str] = None,
+    ) -> None:
+        """
+        Initializes a new instance of the Graph class.
+
+        Args:
+            nodes (List[Dict]): A list of dictionaries representing the vertices of the graph.
+            edges (List[Dict[str, str]]): A list of dictionaries representing the edges of the graph.
+            flow_id (Optional[str], optional): The ID of the flow. Defaults to None.
+        """
+        self._vertices = nodes
+        self._edges = edges
+        self.raw_graph_data = {"nodes": nodes, "edges": edges}
+        self._runs = 0
+        self._updates = 0
+        self.flow_id = flow_id
+        self.flow_name = flow_name
+        self.user_id = user_id
+        self._is_input_vertices: List[str] = []
+        self._is_output_vertices: List[str] = []
+        self._is_state_vertices: List[str] = []
+        self._has_session_id_vertices: List[str] = []
+        self._sorted_vertices_layers: List[List[str]] = []
+        self._run_id = ""
+        self._start_time = datetime.now(timezone.utc)
+
+        self.top_level_vertices = []
+        for vertex in self._vertices:
+            if vertex_id := vertex.get("id"):
+                self.top_level_vertices.append(vertex_id)
+        self._graph_data = process_flow(self.raw_graph_data)
+
+        self._vertices = self._graph_data["nodes"]
+        self._edges = self._graph_data["edges"]
+        self.inactivated_vertices: set = set()
+        self.activated_vertices: List[str] = []
+        self.vertices_layers: List[List[str]] = []
+        self.vertices_to_run: set[str] = set()
+        self.stop_vertex: Optional[str] = None
+
+        self.inactive_vertices: set = set()
+        self.edges: List[ContractEdge] = []
+        self.vertices: List[Vertex] = []
+        self.run_manager = RunnableVerticesManager()
+        self._build_graph()
+        self.build_graph_maps(self.edges)
+        self.define_vertices_lists()
+        self.state_manager = GraphStateManager()
+        try:
+            self.tracing_service: "TracingService" | None = get_tracing_service()
+        except Exception as exc:
+            logger.error(f"Error getting tracing service: {exc}")
+            self.tracing_service = None
+
+    def get_state(self, name: str) -> Optional[Data]:
+        """
+        Returns the state of the graph with the given name.
+
+        Args:
+            name (str): The name of the state.
+
+        Returns:
+            Optional[Data]: The state record, or None if the state does not exist.
+        """
+        return self.state_manager.get_state(name, run_id=self._run_id)
+
+    def update_state(self, name: str, record: Union[str, Data], caller: Optional[str] = None) -> None:
+        """
+        Updates the state of the graph with the given name.
+
+        Args:
+            name (str): The name of the state.
+            record (Union[str, Data]): The new state record.
+            caller (Optional[str], optional): The ID of the vertex that is updating the state. Defaults to None.
+        """
+        if caller:
+            # If there is a caller which is a vertex_id, I want to activate
+            # all StateVertex in self.vertices that are not the caller
+            # essentially notifying all the other vertices that the state has changed
+            # This also has to activate their successors
+            self.activate_state_vertices(name, caller)
+
+        self.state_manager.update_state(name, record, run_id=self._run_id)
+
+    def activate_state_vertices(self, name: str, caller: str):
+        """
+        Activates the state vertices in the graph with the given name and caller.
+
+        Args:
+            name (str): The name of the state.
+            caller (str): The ID of the vertex that is updating the state.
+        """
+        vertices_ids = []
+        for vertex_id in self._is_state_vertices:
+            if vertex_id == caller:
+                continue
+            vertex = self.get_vertex(vertex_id)
+            if (
+                isinstance(vertex._raw_params["name"], str)
+                and name in vertex._raw_params["name"]
+                and vertex_id != caller
+                and isinstance(vertex, StateVertex)
+            ):
+                vertices_ids.append(vertex_id)
+                successors = self.get_all_successors(vertex, flat=True)
+                # Update run_manager.run_predecessors because we are activating vertices
+                # The run_prdecessors is the predecessor map of the vertices
+                # we remove the vertex_id from the predecessor map whenever we run a vertex
+                # So we need to get all edges of the vertex and successors
+                # and run self.build_adjacency_maps(edges) to get the new predecessor map
+                # that is not complete but we can use to update the run_predecessors
+                edges_set = set()
+                for vertex in [vertex] + successors:
+                    edges_set.update(vertex.edges)
+                edges = list(edges_set)
+                new_predecessor_map, _ = self.build_adjacency_maps(edges)
+                self.run_manager.run_predecessors.update(new_predecessor_map)
+                self.vertices_to_run.update(list(map(lambda x: x.id, successors)))
+        self.activated_vertices = vertices_ids
+        self.vertices_to_run.update(vertices_ids)
+
+    def reset_activated_vertices(self):
+        """
+        Resets the activated vertices in the graph.
+        """
+        self.activated_vertices = []
+
+    def append_state(self, name: str, record: Union[str, Data], caller: Optional[str] = None) -> None:
+        """
+        Appends the state of the graph with the given name.
+
+        Args:
+            name (str): The name of the state.
+            record (Union[str, Data]): The state record to append.
+            caller (Optional[str], optional): The ID of the vertex that is updating the state. Defaults to None.
+        """
+        if caller:
+            self.activate_state_vertices(name, caller)
+
+        self.state_manager.append_state(name, record, run_id=self._run_id)
+
+    def validate_stream(self):
+        """
+        Validates the stream configuration of the graph.
+
+        If there are two vertices in the same graph (connected by edges)
+        that have `stream=True` or `streaming=True`, raises a `ValueError`.
+
+        Raises:
+            ValueError: If two connected vertices have `stream=True` or `streaming=True`.
+        """
+        for vertex in self.vertices:
+            if vertex.params.get("stream") or vertex.params.get("streaming"):
+                successors = self.get_all_successors(vertex)
+                for successor in successors:
+                    if successor.params.get("stream") or successor.params.get("streaming"):
+                        raise ValueError(
+                            f"Components {vertex.display_name} and {successor.display_name} are connected and both have stream or streaming set to True"
+                        )
+
+    @property
+    def run_id(self):
+        """
+        The ID of the current run.
+
+        Returns:
+            str: The run ID.
+
+        Raises:
+            ValueError: If the run ID is not set.
+        """
+        if not self._run_id:
+            raise ValueError("Run ID not set")
+        return self._run_id
+
+    def set_run_id(self, run_id: uuid.UUID | None = None):
+        """
+        Sets the ID of the current run.
+
+        Args:
+            run_id (str): The run ID.
+        """
+        if run_id is None:
+            run_id = uuid.uuid4()
+
+        run_id_str = str(run_id)
+        for vertex in self.vertices:
+            self.state_manager.subscribe(run_id_str, vertex.update_graph_state)
+        self._run_id = run_id_str
+        if self.tracing_service:
+            self.tracing_service.set_run_id(run_id)
+
+    def set_run_name(self):
+        # Given a flow name, flow_id
+        if not self.tracing_service:
+            return
+        name = f"{self.flow_name} - {self.flow_id}"
+
+        self.set_run_id()
+        self.tracing_service.set_run_name(name)
+
+    async def initialize_run(self):
+        await self.tracing_service.initialize_tracers()
+
+    async def end_all_traces(self, outputs: dict[str, Any] | None = None, error: str | None = None):
+        if not self.tracing_service:
+            return
+        self._end_time = datetime.now(timezone.utc)
+        if outputs is None:
+            outputs = {}
+        outputs |= self.metadata
+        await self.tracing_service.end(outputs, error)
+
+    @property
+    def sorted_vertices_layers(self) -> List[List[str]]:
+        """
+        The sorted layers of vertices in the graph.
+
+        Returns:
+            List[List[str]]: The sorted layers of vertices.
+        """
+        if not self._sorted_vertices_layers:
+            self.sort_vertices()
+        return self._sorted_vertices_layers
+
+    def define_vertices_lists(self):
+        """
+        Defines the lists of vertices that are inputs, outputs, and have session_id.
+        """
+        attributes = ["is_input", "is_output", "has_session_id", "is_state"]
+        for vertex in self.vertices:
+            for attribute in attributes:
+                if getattr(vertex, attribute):
+                    getattr(self, f"_{attribute}_vertices").append(vertex.id)
+
+    async def _run(
+        self,
+        inputs: Dict[str, str],
+        input_components: list[str],
+        input_type: InputType | None,
+        outputs: list[str],
+        stream: bool,
+        session_id: str,
+        fallback_to_env_vars: bool,
+    ) -> List[Optional["ResultData"]]:
+        """
+        Runs the graph with the given inputs.
+
+        Args:
+            inputs (Dict[str, str]): The input values for the graph.
+            input_components (list[str]): The components to run for the inputs.
+            outputs (list[str]): The outputs to retrieve from the graph.
+            stream (bool): Whether to stream the results or not.
+            session_id (str): The session ID for the graph.
+
+        Returns:
+            List[Optional["ResultData"]]: The outputs of the graph.
+        """
+
+        if input_components and not isinstance(input_components, list):
+            raise ValueError(f"Invalid components value: {input_components}. Expected list")
+        elif input_components is None:
+            input_components = []
+
+        if not isinstance(inputs.get(INPUT_FIELD_NAME, ""), str):
+            raise ValueError(f"Invalid input value: {inputs.get(INPUT_FIELD_NAME)}. Expected string")
+        if inputs:
+            for vertex_id in self._is_input_vertices:
+                vertex = self.get_vertex(vertex_id)
+                # If the vertex is not in the input_components list
+                if input_components and (
+                    vertex_id not in input_components or vertex.display_name not in input_components
+                ):
+                    continue
+                # If the input_type is not any and the input_type is not in the vertex id
+                # Example: input_type = "chat" and vertex.id = "OpenAI-19ddn"
+                elif input_type is not None and input_type != "any" and input_type not in vertex.id.lower():
+                    continue
+                if vertex is None:
+                    raise ValueError(f"Vertex {vertex_id} not found")
+                vertex.update_raw_params(inputs, overwrite=True)
+        # Update all the vertices with the session_id
+        for vertex_id in self._has_session_id_vertices:
+            vertex = self.get_vertex(vertex_id)
+            if vertex is None:
+                raise ValueError(f"Vertex {vertex_id} not found")
+            vertex.update_raw_params({"session_id": session_id})
+        # Process the graph
+        try:
+            cache_service = get_chat_service()
+            if self.flow_id:
+                await cache_service.set_cache(self.flow_id, self)
+        except Exception as exc:
+            logger.exception(exc)
+
+        try:
+            start_component_id = next(
+                (vertex_id for vertex_id in self._is_input_vertices if "chat" in vertex_id.lower()), None
+            )
+            await self.process(start_component_id=start_component_id, fallback_to_env_vars=fallback_to_env_vars)
+            self.increment_run_count()
+        except Exception as exc:
+            logger.exception(exc)
+            tb = traceback.format_exc()
+            await self.end_all_traces(error=f"{exc.__class__.__name__}: {exc}\n\n{tb}")
+            raise ValueError(f"Error running graph: {exc}") from exc
+        finally:
+            await self.end_all_traces()
+        # Get the outputs
+        vertex_outputs = []
+        for vertex in self.vertices:
+            if vertex is None:
+                raise ValueError(f"Vertex {vertex_id} not found")
+
+            if not vertex.result and not stream and hasattr(vertex, "consume_async_generator"):
+                await vertex.consume_async_generator()
+            if (not outputs and vertex.is_output) or (vertex.display_name in outputs or vertex.id in outputs):
+                vertex_outputs.append(vertex.result)
+
+        return vertex_outputs
+
+    def run(
+        self,
+        inputs: list[Dict[str, str]],
+        input_components: Optional[list[list[str]]] = None,
+        types: Optional[list[InputType | None]] = None,
+        outputs: Optional[list[str]] = None,
+        session_id: Optional[str] = None,
+        stream: bool = False,
+        fallback_to_env_vars: bool = False,
+    ) -> List[RunOutputs]:
+        """
+        Run the graph with the given inputs and return the outputs.
+
+        Args:
+            inputs (Dict[str, str]): A dictionary of input values.
+            input_components (Optional[list[str]]): A list of input components.
+            types (Optional[list[str]]): A list of types.
+            outputs (Optional[list[str]]): A list of output components.
+            session_id (Optional[str]): The session ID.
+            stream (bool): Whether to stream the outputs.
+
+        Returns:
+            List[RunOutputs]: A list of RunOutputs objects representing the outputs.
+        """
+        # run the async function in a sync way
+        # this could be used in a FastAPI endpoint
+        # so we should take care of the event loop
+        coro = self.arun(
+            inputs=inputs,
+            inputs_components=input_components,
+            types=types,
+            outputs=outputs,
+            session_id=session_id,
+            stream=stream,
+            fallback_to_env_vars=fallback_to_env_vars,
+        )
+
+        try:
+            # Attempt to get the running event loop; if none, an exception is raised
+            loop = asyncio.get_running_loop()
+            if loop.is_closed():
+                raise RuntimeError("The running event loop is closed.")
+        except RuntimeError:
+            # If there's no running event loop or it's closed, use asyncio.run
+            return asyncio.run(coro)
+
+        # If there's an existing, open event loop, use it to run the async function
+        return loop.run_until_complete(coro)
+
+    async def arun(
+        self,
+        inputs: list[Dict[str, str]],
+        inputs_components: Optional[list[list[str]]] = None,
+        types: Optional[list[InputType | None]] = None,
+        outputs: Optional[list[str]] = None,
+        session_id: Optional[str] = None,
+        stream: bool = False,
+        fallback_to_env_vars: bool = False,
+    ) -> List[RunOutputs]:
+        """
+        Runs the graph with the given inputs.
+
+        Args:
+            inputs (list[Dict[str, str]]): The input values for the graph.
+            inputs_components (Optional[list[list[str]]], optional): The components to run for the inputs. Defaults to None.
+            outputs (Optional[list[str]], optional): The outputs to retrieve from the graph. Defaults to None.
+            session_id (Optional[str], optional): The session ID for the graph. Defaults to None.
+            stream (bool, optional): Whether to stream the results or not. Defaults to False.
+
+        Returns:
+            List[RunOutputs]: The outputs of the graph.
+        """
+        # inputs is {"message": "Hello, world!"}
+        # we need to go through self.inputs and update the self._raw_params
+        # of the vertices that are inputs
+        # if the value is a list, we need to run multiple times
+        vertex_outputs = []
+        if not isinstance(inputs, list):
+            inputs = [inputs]
+        elif not inputs:
+            inputs = [{}]
+        # Length of all should be the as inputs length
+        # just add empty lists to complete the length
+        if inputs_components is None:
+            inputs_components = []
+        for _ in range(len(inputs) - len(inputs_components)):
+            inputs_components.append([])
+        if types is None:
+            types = []
+        for _ in range(len(inputs) - len(types)):
+            types.append("chat")  # default to chat
+        for run_inputs, components, input_type in zip(inputs, inputs_components, types):
+            run_outputs = await self._run(
+                inputs=run_inputs,
+                input_components=components,
+                input_type=input_type,
+                outputs=outputs or [],
+                stream=stream,
+                session_id=session_id or "",
+                fallback_to_env_vars=fallback_to_env_vars,
+            )
+            run_output_object = RunOutputs(inputs=run_inputs, outputs=run_outputs)
+            logger.debug(f"Run outputs: {run_output_object}")
+            vertex_outputs.append(run_output_object)
+        return vertex_outputs
+
+    def next_vertex_to_build(self):
+        """
+        Returns the next vertex to be built.
+
+        Yields:
+            str: The ID of the next vertex to be built.
+        """
+        yield from chain.from_iterable(self.vertices_layers)
+
+    @property
+    def metadata(self):
+        """
+        The metadata of the graph.
+
+        Returns:
+            dict: The metadata of the graph.
+        """
+        time_format = "%Y-%m-%d %H:%M:%S"
+        return {
+            "start_time": self._start_time.strftime(time_format),
+            "end_time": self._end_time.strftime(time_format),
+            "time_elapsed": f"{(self._end_time - self._start_time).total_seconds()} seconds",
+            "flow_id": self.flow_id,
+            "flow_name": self.flow_name,
+        }
+
+    def build_graph_maps(self, edges: Optional[List[ContractEdge]] = None, vertices: Optional[List[Vertex]] = None):
+        """
+        Builds the adjacency maps for the graph.
+        """
+        if edges is None:
+            edges = self.edges
+
+        if vertices is None:
+            vertices = self.vertices
+
+        self.predecessor_map, self.successor_map = self.build_adjacency_maps(edges)
+
+        self.in_degree_map = self.build_in_degree(edges)
+        self.parent_child_map = self.build_parent_child_map(vertices)
+
+    def reset_inactivated_vertices(self):
+        """
+        Resets the inactivated vertices in the graph.
+        """
+        for vertex_id in self.inactivated_vertices.copy():
+            self.mark_vertex(vertex_id, "ACTIVE")
+        self.inactivated_vertices = []
+        self.inactivated_vertices = set()
+
+    def mark_all_vertices(self, state: str):
+        """Marks all vertices in the graph."""
+        for vertex in self.vertices:
+            vertex.set_state(state)
+
+    def mark_vertex(self, vertex_id: str, state: str):
+        """Marks a vertex in the graph."""
+        vertex = self.get_vertex(vertex_id)
+        vertex.set_state(state)
+
+    def mark_branch(self, vertex_id: str, state: str, visited: Optional[set] = None, output_name: Optional[str] = None):
+        """Marks a branch of the graph."""
+        if visited is None:
+            visited = set()
+        if vertex_id in visited:
+            return
+        visited.add(vertex_id)
+
+        self.mark_vertex(vertex_id, state)
+
+        for child_id in self.parent_child_map[vertex_id]:
+            # Only child_id that have an edge with the vertex_id through the output_name
+            # should be marked
+            if output_name:
+                edge = self.get_edge(vertex_id, child_id)
+                if edge and edge.source_handle.name != output_name:
+                    continue
+            self.mark_branch(child_id, state)
+
+    def get_edge(self, source_id: str, target_id: str) -> Optional[ContractEdge]:
+        """Returns the edge between two vertices."""
+        for edge in self.edges:
+            if edge.source_id == source_id and edge.target_id == target_id:
+                return edge
+        return None
+
+    def build_parent_child_map(self, vertices: List[Vertex]):
+        parent_child_map = defaultdict(list)
+        for vertex in vertices:
+            parent_child_map[vertex.id] = [child.id for child in self.get_successors(vertex)]
+        return parent_child_map
+
+    def increment_run_count(self):
+        self._runs += 1
+
+    def increment_update_count(self):
+        self._updates += 1
+
+    def __getstate__(self):
+        # Get all attributes that are useful in runs.
+        # We don't need to save the state_manager because it is
+        # a singleton and it is not necessary to save it
+        return {
+            "vertices": self.vertices,
+            "edges": self.edges,
+            "flow_id": self.flow_id,
+            "flow_name": self.flow_name,
+            "user_id": self.user_id,
+            "raw_graph_data": self.raw_graph_data,
+            "top_level_vertices": self.top_level_vertices,
+            "inactivated_vertices": self.inactivated_vertices,
+            "run_manager": self.run_manager.to_dict(),
+            "_run_id": self._run_id,
+            "in_degree_map": self.in_degree_map,
+            "parent_child_map": self.parent_child_map,
+            "predecessor_map": self.predecessor_map,
+            "successor_map": self.successor_map,
+            "activated_vertices": self.activated_vertices,
+            "vertices_layers": self.vertices_layers,
+            "vertices_to_run": self.vertices_to_run,
+            "stop_vertex": self.stop_vertex,
+            "vertex_map": self.vertex_map,
+        }
+
+    def __setstate__(self, state):
+        run_manager = state["run_manager"]
+        if isinstance(run_manager, RunnableVerticesManager):
+            state["run_manager"] = run_manager
+        else:
+            state["run_manager"] = RunnableVerticesManager.from_dict(run_manager)
+        self.__dict__.update(state)
+        self.state_manager = GraphStateManager()
+        self.tracing_service = get_tracing_service()
+        self.set_run_id(self._run_id)
+        self.set_run_name()
+
+    @classmethod
+    def from_payload(
+        cls,
+        payload: Dict,
+        flow_id: Optional[str] = None,
+        flow_name: Optional[str] = None,
+        user_id: Optional[str] = None,
+    ) -> "Graph":
+        """
+        Creates a graph from a payload.
+
+        Args:
+            payload (Dict): The payload to create the graph from.˜`
+
+        Returns:
+            Graph: The created graph.
+        """
+        if "data" in payload:
+            payload = payload["data"]
+        try:
+            vertices = payload["nodes"]
+            edges = payload["edges"]
+            return cls(vertices, edges, flow_id, flow_name, user_id)
+        except KeyError as exc:
+            logger.exception(exc)
+            if "nodes" not in payload and "edges" not in payload:
+                logger.exception(exc)
+                raise ValueError(
+                    f"Invalid payload. Expected keys 'nodes' and 'edges'. Found {list(payload.keys())}"
+                ) from exc
+
+            raise ValueError(f"Error while creating graph from payload: {exc}") from exc
+
+    def __eq__(self, other: object) -> bool:
+        if not isinstance(other, Graph):
+            return False
+        return self.__repr__() == other.__repr__()
+
+    # update this graph with another graph by comparing the __repr__ of each vertex
+    # and if the __repr__ of a vertex is not the same as the other
+    # then update the .data of the vertex to the self
+    # both graphs have the same vertices and edges
+    # but the data of the vertices might be different
+
+    def update_edges_from_vertex(self, vertex: Vertex, other_vertex: Vertex) -> None:
+        """Updates the edges of a vertex in the Graph."""
+        new_edges = []
+        for edge in self.edges:
+            if edge.source_id == other_vertex.id or edge.target_id == other_vertex.id:
+                continue
+            new_edges.append(edge)
+        new_edges += other_vertex.edges
+        self.edges = new_edges
+
+    def vertex_data_is_identical(self, vertex: Vertex, other_vertex: Vertex) -> bool:
+        data_is_equivalent = vertex == other_vertex
+        if not data_is_equivalent:
+            return False
+        return self.vertex_edges_are_identical(vertex, other_vertex)
+
+    def vertex_edges_are_identical(self, vertex: Vertex, other_vertex: Vertex) -> bool:
+        same_length = len(vertex.edges) == len(other_vertex.edges)
+        if not same_length:
+            return False
+        for edge in vertex.edges:
+            if edge not in other_vertex.edges:
+                return False
+        return True
+
+    def update(self, other: "Graph") -> "Graph":
+        # Existing vertices in self graph
+        existing_vertex_ids = set(vertex.id for vertex in self.vertices)
+        # Vertex IDs in the other graph
+        other_vertex_ids = set(other.vertex_map.keys())
+
+        # Find vertices that are in other but not in self (new vertices)
+        new_vertex_ids = other_vertex_ids - existing_vertex_ids
+
+        # Find vertices that are in self but not in other (removed vertices)
+        removed_vertex_ids = existing_vertex_ids - other_vertex_ids
+
+        # Remove vertices that are not in the other graph
+        for vertex_id in removed_vertex_ids:
+            try:
+                self.remove_vertex(vertex_id)
+            except ValueError:
+                pass
+
+        # The order here matters because adding the vertex is required
+        # if any of them have edges that point to any of the new vertices
+        # By adding them first, them adding the edges we ensure that the
+        # edges have valid vertices to point to
+
+        # Add new vertices
+        for vertex_id in new_vertex_ids:
+            new_vertex = other.get_vertex(vertex_id)
+            self._add_vertex(new_vertex)
+
+        # Now update the edges
+        for vertex_id in new_vertex_ids:
+            new_vertex = other.get_vertex(vertex_id)
+            self._update_edges(new_vertex)
+            # Graph is set at the end because the edges come from the graph
+            # and the other graph is where the new edges and vertices come from
+            new_vertex.graph = self
+
+        # Update existing vertices that have changed
+        for vertex_id in existing_vertex_ids.intersection(other_vertex_ids):
+            self_vertex = self.get_vertex(vertex_id)
+            other_vertex = other.get_vertex(vertex_id)
+            # If the vertices are not identical, update the vertex
+            if not self.vertex_data_is_identical(self_vertex, other_vertex):
+                self.update_vertex_from_another(self_vertex, other_vertex)
+
+        self.build_graph_maps()
+        self.define_vertices_lists()
+        self.increment_update_count()
+        return self
+
+    def update_vertex_from_another(self, vertex: Vertex, other_vertex: Vertex) -> None:
+        """
+        Updates a vertex from another vertex.
+
+        Args:
+            vertex (Vertex): The vertex to be updated.
+            other_vertex (Vertex): The vertex to update from.
+        """
+        vertex._data = other_vertex._data
+        vertex._parse_data()
+        # Now we update the edges of the vertex
+        self.update_edges_from_vertex(vertex, other_vertex)
+        vertex.params = {}
+        vertex._build_params()
+        vertex.graph = self
+        # If the vertex is frozen, we don't want
+        # to reset the results nor the _built attribute
+        if not vertex.frozen:
+            vertex._built = False
+            vertex.result = None
+            vertex.artifacts = {}
+            vertex.set_top_level(self.top_level_vertices)
+        self.reset_all_edges_of_vertex(vertex)
+
+    def reset_all_edges_of_vertex(self, vertex: Vertex) -> None:
+        """Resets all the edges of a vertex."""
+        for edge in vertex.edges:
+            for vid in [edge.source_id, edge.target_id]:
+                if vid in self.vertex_map:
+                    _vertex = self.vertex_map[vid]
+                    if not _vertex.frozen:
+                        _vertex._build_params()
+
+    def _add_vertex(self, vertex: Vertex) -> None:
+        """Adds a vertex to the graph."""
+        self.vertices.append(vertex)
+        self.vertex_map[vertex.id] = vertex
+
+    def add_vertex(self, vertex: Vertex) -> None:
+        """Adds a new vertex to the graph."""
+        self._add_vertex(vertex)
+        self._update_edges(vertex)
+
+    def _update_edges(self, vertex: Vertex) -> None:
+        """Updates the edges of a vertex."""
+        # Vertex has edges, so we need to update the edges
+        for edge in vertex.edges:
+            if edge not in self.edges and edge.source_id in self.vertex_map and edge.target_id in self.vertex_map:
+                self.edges.append(edge)
+
+    def _build_graph(self) -> None:
+        """Builds the graph from the vertices and edges."""
+        self.vertices = self._build_vertices()
+        self.vertex_map = {vertex.id: vertex for vertex in self.vertices}
+        self.edges = self._build_edges()
+
+        # This is a hack to make sure that the LLM vertex is sent to
+        # the toolkit vertex
+        self._build_vertex_params()
+
+        # Now that we have the vertices and edges
+        # We need to map the vertices that are connected to
+        # to ChatVertex instances
+
+    def remove_vertex(self, vertex_id: str) -> None:
+        """Removes a vertex from the graph."""
+        vertex = self.get_vertex(vertex_id)
+        if vertex is None:
+            return
+        self.vertices.remove(vertex)
+        self.vertex_map.pop(vertex_id)
+        self.edges = [edge for edge in self.edges if edge.source_id != vertex_id and edge.target_id != vertex_id]
+
+    def _build_vertex_params(self) -> None:
+        """Identifies and handles the LLM vertex within the graph."""
+        for vertex in self.vertices:
+            vertex._build_params()
+
+    def _validate_vertex(self, vertex: Vertex) -> bool:
+        """Validates a vertex."""
+        # All vertices that do not have edges are invalid
+        return len(self.get_vertex_edges(vertex.id)) > 0
+
+    def get_vertex(self, vertex_id: str) -> Vertex:
+        """Returns a vertex by id."""
+        try:
+            return self.vertex_map[vertex_id]
+        except KeyError:
+            raise ValueError(f"Vertex {vertex_id} not found")
+
+    def get_root_of_group_node(self, vertex_id: str) -> Vertex:
+        """Returns the root of a group node."""
+        if vertex_id in self.top_level_vertices:
+            # Get all vertices with vertex_id as .parent_node_id
+            # then get the one at the top
+            vertices = [vertex for vertex in self.vertices if vertex.parent_node_id == vertex_id]
+            # Now go through successors of the vertices
+            # and get the one that none of its successors is in vertices
+            for vertex in vertices:
+                successors = self.get_all_successors(vertex, recursive=False)
+                if not any(successor in vertices for successor in successors):
+                    return vertex
+        raise ValueError(f"Vertex {vertex_id} is not a top level vertex or no root vertex found")
+
+    async def build_vertex(
+        self,
+        chat_service: ChatService,
+        vertex_id: str,
+        inputs_dict: Optional[Dict[str, str]] = None,
+        files: Optional[list[str]] = None,
+        user_id: Optional[str] = None,
+        fallback_to_env_vars: bool = False,
+    ):
+        """
+        Builds a vertex in the graph.
+
+        Args:
+            lock (asyncio.Lock): A lock to synchronize access to the graph.
+            set_cache_coro (Coroutine): A coroutine to set the cache.
+            vertex_id (str): The ID of the vertex to build.
+            inputs (Optional[Dict[str, str]]): Optional dictionary of inputs for the vertex. Defaults to None.
+            user_id (Optional[str]): Optional user ID. Defaults to None.
+
+        Returns:
+            Tuple: A tuple containing the next runnable vertices, top level vertices, result dictionary,
+            parameters, validity flag, artifacts, and the built vertex.
+
+        Raises:
+            ValueError: If no result is found for the vertex.
+        """
+        vertex = self.get_vertex(vertex_id)
+        try:
+            params = ""
+            if vertex.frozen:
+                # Check the cache for the vertex
+                cached_result = await chat_service.get_cache(key=vertex.id)
+                if isinstance(cached_result, CacheMiss):
+                    await vertex.build(
+                        user_id=user_id, inputs=inputs_dict, fallback_to_env_vars=fallback_to_env_vars, files=files
+                    )
+                    await chat_service.set_cache(key=vertex.id, data=vertex)
+                else:
+                    cached_vertex = cached_result["result"]
+                    # Now set update the vertex with the cached vertex
+                    vertex._built = cached_vertex._built
+                    vertex.result = cached_vertex.result
+                    vertex.results = cached_vertex.results
+                    vertex.artifacts = cached_vertex.artifacts
+                    vertex._built_object = cached_vertex._built_object
+                    vertex._custom_component = cached_vertex._custom_component
+                    if vertex.result is not None:
+                        vertex.result.used_frozen_result = True
+
+            else:
+                await vertex.build(
+                    user_id=user_id, inputs=inputs_dict, fallback_to_env_vars=fallback_to_env_vars, files=files
+                )
+                await chat_service.set_cache(key=vertex.id, data=vertex)
+
+            if vertex.result is not None:
+                params = f"{vertex._built_object_repr()}{params}"
+                valid = True
+                result_dict = vertex.result
+                artifacts = vertex.artifacts
+            else:
+                raise ValueError(f"No result found for vertex {vertex_id}")
+            flow_id = self.flow_id
+            log_transaction(flow_id, vertex, status="success")
+            return result_dict, params, valid, artifacts, vertex
+        except Exception as exc:
+            if not isinstance(exc, ComponentBuildException):
+                logger.exception(f"Error building Component:\n\n{exc}")
+            flow_id = self.flow_id
+            log_transaction(flow_id, vertex, status="failure", error=str(exc))
+            raise exc
+
+    def get_vertex_edges(
+        self,
+        vertex_id: str,
+        is_target: Optional[bool] = None,
+        is_source: Optional[bool] = None,
+    ) -> List[ContractEdge]:
+        """Returns a list of edges for a given vertex."""
+        # The idea here is to return the edges that have the vertex_id as source or target
+        # or both
+        return [
+            edge
+            for edge in self.edges
+            if (edge.source_id == vertex_id and is_source is not False)
+            or (edge.target_id == vertex_id and is_target is not False)
+        ]
+
+    def get_vertices_with_target(self, vertex_id: str) -> List[Vertex]:
+        """Returns the vertices connected to a vertex."""
+        vertices: List[Vertex] = []
+        for edge in self.edges:
+            if edge.target_id == vertex_id:
+                vertex = self.get_vertex(edge.source_id)
+                if vertex is None:
+                    continue
+                vertices.append(vertex)
+        return vertices
+
+    async def process(self, fallback_to_env_vars: bool, start_component_id: Optional[str] = None) -> "Graph":
+        """Processes the graph with vertices in each layer run in parallel."""
+
+        first_layer = self.sort_vertices(start_component_id=start_component_id)
+        vertex_task_run_count: Dict[str, int] = {}
+        to_process = deque(first_layer)
+        layer_index = 0
+        chat_service = get_chat_service()
+        run_id = uuid.uuid4()
+        self.set_run_id(run_id)
+        self.set_run_name()
+        await self.initialize_run()
+        lock = chat_service._cache_locks[self.run_id]
+        while to_process:
+            current_batch = list(to_process)  # Copy current deque items to a list
+            to_process.clear()  # Clear the deque for new items
+            tasks = []
+            for vertex_id in current_batch:
+                vertex = self.get_vertex(vertex_id)
+                task = asyncio.create_task(
+                    self.build_vertex(
+                        chat_service=chat_service,
+                        vertex_id=vertex_id,
+                        user_id=self.user_id,
+                        inputs_dict={},
+                        fallback_to_env_vars=fallback_to_env_vars,
+                    ),
+                    name=f"{vertex.display_name} Run {vertex_task_run_count.get(vertex_id, 0)}",
+                )
+                tasks.append(task)
+                vertex_task_run_count[vertex_id] = vertex_task_run_count.get(vertex_id, 0) + 1
+
+            logger.debug(f"Running layer {layer_index} with {len(tasks)} tasks")
+            try:
+                next_runnable_vertices = await self._execute_tasks(tasks, lock=lock)
+            except Exception as e:
+                logger.error(f"Error executing tasks in layer {layer_index}: {e}")
+                raise e
+            if not next_runnable_vertices:
+                break
+            to_process.extend(next_runnable_vertices)
+            layer_index += 1
+
+        logger.debug("Graph processing complete")
+        return self
+
+    async def _execute_tasks(self, tasks: List[asyncio.Task], lock: asyncio.Lock) -> List[str]:
+        """Executes tasks in parallel, handling exceptions for each task."""
+        results = []
+        completed_tasks = await asyncio.gather(*tasks, return_exceptions=True)
+        vertices: List[Vertex] = []
+
+        for i, result in enumerate(completed_tasks):
+            task_name = tasks[i].get_name()
+            if isinstance(result, Exception):
+                logger.error(f"Task {task_name} failed with exception: {result}")
+                # Cancel all remaining tasks
+                for t in tasks[i + 1 :]:
+                    t.cancel()
+                raise result
+            elif isinstance(result, tuple) and len(result) == 5:
+                vertices.append(result[4])
+            else:
+                raise ValueError(f"Invalid result from task {task_name}: {result}")
+
+        for v in vertices:
+            # set all executed vertices as non-runnable to not run them again.
+            # they could be calculated as predecessor or successors of parallel vertices
+            # This could usually happen with input vertices like ChatInput
+            self.run_manager.remove_vertex_from_runnables(v.id)
+
+        set_cache_coro = partial(get_chat_service().set_cache, key=self.flow_id)
+        for v in vertices:
+            next_runnable_vertices = await self.run_manager.get_next_runnable_vertices(
+                lock, set_cache_coro, graph=self, vertex=v, cache=False
+            )
+            results.extend(next_runnable_vertices)
+        return results
+
+    def topological_sort(self) -> List[Vertex]:
+        """
+        Performs a topological sort of the vertices in the graph.
+
+        Returns:
+            List[Vertex]: A list of vertices in topological order.
+
+        Raises:
+            ValueError: If the graph contains a cycle.
+        """
+        # States: 0 = unvisited, 1 = visiting, 2 = visited
+        state = {vertex: 0 for vertex in self.vertices}
+        sorted_vertices = []
+
+        def dfs(vertex):
+            if state[vertex] == 1:
+                # We have a cycle
+                raise ValueError("Graph contains a cycle, cannot perform topological sort")
+            if state[vertex] == 0:
+                state[vertex] = 1
+                for edge in vertex.edges:
+                    if edge.source_id == vertex.id:
+                        dfs(self.get_vertex(edge.target_id))
+                state[vertex] = 2
+                sorted_vertices.append(vertex)
+
+        # Visit each vertex
+        for vertex in self.vertices:
+            if state[vertex] == 0:
+                dfs(vertex)
+
+        return list(reversed(sorted_vertices))
+
+    def generator_build(self) -> Generator[Vertex, None, None]:
+        """Builds each vertex in the graph and yields it."""
+        sorted_vertices = self.topological_sort()
+        logger.debug("There are %s vertices in the graph", len(sorted_vertices))
+        yield from sorted_vertices
+
+    def get_predecessors(self, vertex):
+        """Returns the predecessors of a vertex."""
+        return [self.get_vertex(source_id) for source_id in self.predecessor_map.get(vertex.id, [])]
+
+    def get_all_successors(self, vertex: Vertex, recursive=True, flat=True):
+        # Recursively get the successors of the current vertex
+        # successors = vertex.successors
+        # if not successors:
+        #     return []
+        # successors_result = []
+        # for successor in successors:
+        #     # Just return a list of successors
+        #     if recursive:
+        #         next_successors = self.get_all_successors(successor)
+        #         successors_result.extend(next_successors)
+        #     successors_result.append(successor)
+        # return successors_result
+        # The above is the version without the flat parameter
+        # The below is the version with the flat parameter
+        # the flat parameter will define if each layer of successors
+        # becomes one list or if the result is a list of lists
+        # if flat is True, the result will be a list of vertices
+        # if flat is False, the result will be a list of lists of vertices
+        # each list will represent a layer of successors
+        successors = vertex.successors
+        if not successors:
+            return []
+        successors_result = []
+        for successor in successors:
+            if recursive:
+                next_successors = self.get_all_successors(successor)
+                if flat:
+                    successors_result.extend(next_successors)
+                else:
+                    successors_result.append(next_successors)
+            if flat:
+                successors_result.append(successor)
+            else:
+                successors_result.append([successor])
+        return successors_result
+
+    def get_successors(self, vertex: Vertex) -> List[Vertex]:
+        """Returns the successors of a vertex."""
+        return [self.get_vertex(target_id) for target_id in self.successor_map.get(vertex.id, [])]
+
+    def get_vertex_neighbors(self, vertex: Vertex) -> Dict[Vertex, int]:
+        """Returns the neighbors of a vertex."""
+        neighbors: Dict[Vertex, int] = {}
+        for edge in self.edges:
+            if edge.source_id == vertex.id:
+                neighbor = self.get_vertex(edge.target_id)
+                if neighbor is None:
+                    continue
+                if neighbor not in neighbors:
+                    neighbors[neighbor] = 0
+                neighbors[neighbor] += 1
+            elif edge.target_id == vertex.id:
+                neighbor = self.get_vertex(edge.source_id)
+                if neighbor is None:
+                    continue
+                if neighbor not in neighbors:
+                    neighbors[neighbor] = 0
+                neighbors[neighbor] += 1
+        return neighbors
+
+    def _build_edges(self) -> List[ContractEdge]:
+        """Builds the edges of the graph."""
+        # Edge takes two vertices as arguments, so we need to build the vertices first
+        # and then build the edges
+        # if we can't find a vertex, we raise an error
+
+        edges: set[ContractEdge] = set()
+        for edge in self._edges:
+            source = self.get_vertex(edge["source"])
+            target = self.get_vertex(edge["target"])
+
+            if source is None:
+                raise ValueError(f"Source vertex {edge['source']} not found")
+            if target is None:
+                raise ValueError(f"Target vertex {edge['target']} not found")
+            new_edge = ContractEdge(source, target, edge)
+
+            edges.add(new_edge)
+
+        return list(edges)
+
+    def _get_vertex_class(self, node_type: str, node_base_type: str, node_id: str) -> Type[Vertex]:
+        """Returns the node class based on the node type."""
+        # First we check for the node_base_type
+        node_name = node_id.split("-")[0]
+        if node_name in InterfaceComponentTypes:
+            return InterfaceVertex
+        elif node_name in ["SharedState", "Notify", "Listen"]:
+            return StateVertex
+        elif node_base_type in lazy_load_vertex_dict.VERTEX_TYPE_MAP:
+            return lazy_load_vertex_dict.VERTEX_TYPE_MAP[node_base_type]
+        elif node_name in lazy_load_vertex_dict.VERTEX_TYPE_MAP:
+            return lazy_load_vertex_dict.VERTEX_TYPE_MAP[node_name]
+
+        if node_type in lazy_load_vertex_dict.VERTEX_TYPE_MAP:
+            return lazy_load_vertex_dict.VERTEX_TYPE_MAP[node_type]
+        return (
+            lazy_load_vertex_dict.VERTEX_TYPE_MAP[node_base_type]
+            if node_base_type in lazy_load_vertex_dict.VERTEX_TYPE_MAP
+            else Vertex
+        )
+
+    def _build_vertices(self) -> List[Vertex]:
+        """Builds the vertices of the graph."""
+        vertices: List[Vertex] = []
+        for vertex in self._vertices:
+            vertex_data = vertex["data"]
+            vertex_type: str = vertex_data["type"]  # type: ignore
+            vertex_base_type: str = vertex_data["node"]["template"]["_type"]  # type: ignore
+            if "id" not in vertex_data:
+                raise ValueError(f"Vertex data for {vertex_data['display_name']} does not contain an id")
+
+            VertexClass = self._get_vertex_class(vertex_type, vertex_base_type, vertex_data["id"])
+
+            vertex_instance = VertexClass(vertex, graph=self)
+            vertex_instance.set_top_level(self.top_level_vertices)
+            vertices.append(vertex_instance)
+
+        return vertices
+
+    def get_children_by_vertex_type(self, vertex: Vertex, vertex_type: str) -> List[Vertex]:
+        """Returns the children of a vertex based on the vertex type."""
+        children = []
+        vertex_types = [vertex.data["type"]]
+        if "node" in vertex.data:
+            vertex_types += vertex.data["node"]["base_classes"]
+        if vertex_type in vertex_types:
+            children.append(vertex)
+        return children
+
+    def __repr__(self):
+        vertex_ids = [vertex.id for vertex in self.vertices]
+        edges_repr = "\n".join([f"{edge.source_id} --> {edge.target_id}" for edge in self.edges])
+        return f"Graph:\nNodes: {vertex_ids}\nConnections:\n{edges_repr}"
+
+    def sort_up_to_vertex(self, vertex_id: str, is_start: bool = False) -> List[Vertex]:
+        """Cuts the graph up to a given vertex and sorts the resulting subgraph."""
+        # Initial setup
+        visited = set()  # To keep track of visited vertices
+        excluded = set()  # To keep track of vertices that should be excluded
+
+        def get_successors(vertex, recursive=True):
+            # Recursively get the successors of the current vertex
+            successors = vertex.successors
+            if not successors:
+                return []
+            successors_result = []
+            for successor in successors:
+                # Just return a list of successors
+                if recursive:
+                    next_successors = get_successors(successor)
+                    successors_result.extend(next_successors)
+                successors_result.append(successor)
+            return successors_result
+
+        try:
+            stop_or_start_vertex = self.get_vertex(vertex_id)
+            stack = [vertex_id]  # Use a list as a stack for DFS
+        except ValueError:
+            stop_or_start_vertex = self.get_root_of_group_node(vertex_id)
+            stack = [stop_or_start_vertex.id]
+        stop_predecessors = [pre.id for pre in stop_or_start_vertex.predecessors]
+        # DFS to collect all vertices that can reach the specified vertex
+        while stack:
+            current_id = stack.pop()
+            if current_id not in visited and current_id not in excluded:
+                visited.add(current_id)
+                current_vertex = self.get_vertex(current_id)
+                # Assuming get_predecessors is a method that returns all vertices with edges to current_vertex
+                for predecessor in current_vertex.predecessors:
+                    stack.append(predecessor.id)
+
+                if current_id == vertex_id:
+                    # We should add to visited all the vertices that are successors of the current vertex
+                    # and their successors and so on
+                    # if the vertex is a start, it means we are starting from the beginning
+                    # and getting successors
+                    for successor in current_vertex.successors:
+                        if is_start:
+                            stack.append(successor.id)
+                        else:
+                            excluded.add(successor.id)
+                        all_successors = get_successors(successor)
+                        for successor in all_successors:
+                            if is_start:
+                                stack.append(successor.id)
+                            else:
+                                excluded.add(successor.id)
+                elif current_id not in stop_predecessors:
+                    # If the current vertex is not the target vertex, we should add all its successors
+                    # to the stack if they are not in visited
+                    for successor in current_vertex.successors:
+                        if successor.id not in visited:
+                            stack.append(successor.id)
+
+        # Filter the original graph's vertices and edges to keep only those in `visited`
+        vertices_to_keep = [self.get_vertex(vid) for vid in visited]
+
+        return vertices_to_keep
+
+    def layered_topological_sort(
+        self,
+        vertices: List[Vertex],
+        filter_graphs: bool = False,
+    ) -> List[List[str]]:
+        """Performs a layered topological sort of the vertices in the graph."""
+        vertices_ids = {vertex.id for vertex in vertices}
+        # Queue for vertices with no incoming edges
+        queue = deque(
+            vertex.id
+            for vertex in vertices
+            # if filter_graphs then only vertex.is_input will be considered
+            if self.in_degree_map[vertex.id] == 0 and (not filter_graphs or vertex.is_input)
+        )
+        layers: List[List[str]] = []
+        visited = set(queue)
+
+        current_layer = 0
+        while queue:
+            layers.append([])  # Start a new layer
+            layer_size = len(queue)
+            for _ in range(layer_size):
+                vertex_id = queue.popleft()
+                visited.add(vertex_id)
+
+                layers[current_layer].append(vertex_id)
+                for neighbor in self.successor_map[vertex_id]:
+                    # only vertices in `vertices_ids` should be considered
+                    # because vertices by have been filtered out
+                    # in a previous step. All dependencies of theirs
+                    # will be built automatically if required
+                    if neighbor not in vertices_ids:
+                        continue
+
+                    self.in_degree_map[neighbor] -= 1  # 'remove' edge
+                    if self.in_degree_map[neighbor] == 0 and neighbor not in visited:
+                        queue.append(neighbor)
+
+                    # if > 0 it might mean not all predecessors have added to the queue
+                    # so we should process the neighbors predecessors
+                    elif self.in_degree_map[neighbor] > 0:
+                        for predecessor in self.predecessor_map[neighbor]:
+                            if predecessor not in queue and predecessor not in visited:
+                                queue.append(predecessor)
+
+            current_layer += 1  # Next layer
+        new_layers = self.refine_layers(layers)
+        return new_layers
+
+    def refine_layers(self, initial_layers):
+        # Map each vertex to its current layer
+        vertex_to_layer = {}
+        for layer_index, layer in enumerate(initial_layers):
+            for vertex in layer:
+                vertex_to_layer[vertex] = layer_index
+
+        # Build the adjacency list for reverse lookup (dependencies)
+
+        refined_layers = [[] for _ in initial_layers]  # Start with empty layers
+        new_layer_index_map = defaultdict(int)
+
+        # Map each vertex to its new layer index
+        # by finding the lowest layer index of its dependencies
+        # and subtracting 1
+        # If a vertex has no dependencies, it will be placed in the first layer
+        # If a vertex has dependencies, it will be placed in the lowest layer index of its dependencies
+        # minus 1
+        for vertex_id, deps in self.successor_map.items():
+            indexes = [vertex_to_layer[dep] for dep in deps if dep in vertex_to_layer]
+            new_layer_index = max(min(indexes, default=0) - 1, 0)
+            new_layer_index_map[vertex_id] = new_layer_index
+
+        for layer_index, layer in enumerate(initial_layers):
+            for vertex_id in layer:
+                # Place the vertex in the highest possible layer where its dependencies are met
+                new_layer_index = new_layer_index_map[vertex_id]
+                if new_layer_index > layer_index:
+                    refined_layers[new_layer_index].append(vertex_id)
+                    vertex_to_layer[vertex_id] = new_layer_index
+                else:
+                    refined_layers[layer_index].append(vertex_id)
+
+        # Remove empty layers if any
+        refined_layers = [layer for layer in refined_layers if layer]
+
+        return refined_layers
+
+    def sort_chat_inputs_first(self, vertices_layers: List[List[str]]) -> List[List[str]]:
+        chat_inputs_first = []
+        for layer in vertices_layers:
+            for vertex_id in layer:
+                if "ChatInput" in vertex_id:
+                    # Remove the ChatInput from the layer
+                    layer.remove(vertex_id)
+                    chat_inputs_first.append(vertex_id)
+        if not chat_inputs_first:
+            return vertices_layers
+
+        vertices_layers = [chat_inputs_first] + vertices_layers
+
+        return vertices_layers
+
+    def sort_layer_by_dependency(self, vertices_layers: List[List[str]]) -> List[List[str]]:
+        """Sorts the vertices in each layer by dependency, ensuring no vertex depends on a subsequent vertex."""
+        sorted_layers = []
+
+        for layer in vertices_layers:
+            sorted_layer = self._sort_single_layer_by_dependency(layer)
+            sorted_layers.append(sorted_layer)
+
+        return sorted_layers
+
+    def _sort_single_layer_by_dependency(self, layer: List[str]) -> List[str]:
+        """Sorts a single layer by dependency using a stable sorting method."""
+        # Build a map of each vertex to its index in the layer for quick lookup.
+        index_map = {vertex: index for index, vertex in enumerate(layer)}
+        # Create a sorted copy of the layer based on dependency order.
+        sorted_layer = sorted(layer, key=lambda vertex: self._max_dependency_index(vertex, index_map), reverse=True)
+
+        return sorted_layer
+
+    def _max_dependency_index(self, vertex_id: str, index_map: Dict[str, int]) -> int:
+        """Finds the highest index a given vertex's dependencies occupy in the same layer."""
+        vertex = self.get_vertex(vertex_id)
+        max_index = -1
+        for successor in vertex.successors:  # Assuming vertex.successors is a list of successor vertex identifiers.
+            if successor.id in index_map:
+                max_index = max(max_index, index_map[successor.id])
+        return max_index
+
+    def sort_vertices(
+        self,
+        stop_component_id: Optional[str] = None,
+        start_component_id: Optional[str] = None,
+    ) -> List[str]:
+        """Sorts the vertices in the graph."""
+        self.mark_all_vertices("ACTIVE")
+        if stop_component_id is not None:
+            self.stop_vertex = stop_component_id
+            vertices = self.sort_up_to_vertex(stop_component_id)
+        elif start_component_id:
+            vertices = self.sort_up_to_vertex(start_component_id, is_start=True)
+        else:
+            vertices = self.vertices
+            # without component_id we are probably running in the chat
+            # so we want to pick only graphs that start with ChatInput or
+            # TextInput
+
+        vertices_layers = self.layered_topological_sort(vertices)
+        vertices_layers = self.sort_by_avg_build_time(vertices_layers)
+        # vertices_layers = self.sort_chat_inputs_first(vertices_layers)
+        # Now we should sort each layer in a way that we make sure
+        # vertex V does not depend on vertex V+1
+        vertices_layers = self.sort_layer_by_dependency(vertices_layers)
+        self.increment_run_count()
+        self._sorted_vertices_layers = vertices_layers
+        first_layer = vertices_layers[0]
+        # save the only the rest
+        self.vertices_layers = vertices_layers[1:]
+        self.vertices_to_run = {vertex_id for vertex_id in chain.from_iterable(vertices_layers)}
+        self.build_run_map()
+        # Return just the first layer
+        return first_layer
+
+    def sort_interface_components_first(self, vertices_layers: List[List[str]]) -> List[List[str]]:
+        """Sorts the vertices in the graph so that vertices containing ChatInput or ChatOutput come first."""
+
+        def contains_interface_component(vertex):
+            return any(component.value in vertex for component in InterfaceComponentTypes)
+
+        # Sort each inner list so that vertices containing ChatInput or ChatOutput come first
+        sorted_vertices = [
+            sorted(
+                inner_list,
+                key=lambda vertex: not contains_interface_component(vertex),
+            )
+            for inner_list in vertices_layers
+        ]
+        return sorted_vertices
+
+    def sort_by_avg_build_time(self, vertices_layers: List[List[str]]) -> List[List[str]]:
+        """Sorts the vertices in the graph so that vertices with the lowest average build time come first."""
+
+        def sort_layer_by_avg_build_time(vertices_ids: List[str]) -> List[str]:
+            """Sorts the vertices in the graph so that vertices with the lowest average build time come first."""
+            if len(vertices_ids) == 1:
+                return vertices_ids
+            vertices_ids.sort(key=lambda vertex_id: self.get_vertex(vertex_id).avg_build_time)
+
+            return vertices_ids
+
+        sorted_vertices = [sort_layer_by_avg_build_time(layer) for layer in vertices_layers]
+        return sorted_vertices
+
+    def is_vertex_runnable(self, vertex_id: str) -> bool:
+        """Returns whether a vertex is runnable."""
+        return self.run_manager.is_vertex_runnable(vertex_id)
+
+    def build_run_map(self):
+        """
+        Builds the run map for the graph.
+
+        This method is responsible for building the run map for the graph,
+        which maps each node in the graph to its corresponding run function.
+
+        Returns:
+            None
+        """
+        self.run_manager.build_run_map(self)
+
+    def find_runnable_predecessors_for_successors(self, vertex_id: str) -> List[str]:
+        """
+        For each successor of the current vertex, find runnable predecessors if any.
+        This checks the direct predecessors of each successor to identify any that are
+        immediately runnable, expanding the search to ensure progress can be made.
+        """
+        return self.run_manager.find_runnable_predecessors_for_successors(vertex_id)
+
+    def remove_from_predecessors(self, vertex_id: str):
+        self.run_manager.remove_from_predecessors(vertex_id)
+
+    def build_in_degree(self, edges: List[ContractEdge]) -> Dict[str, int]:
+        in_degree: Dict[str, int] = defaultdict(int)
+        for edge in edges:
+            in_degree[edge.target_id] += 1
+        return in_degree
+
+    def build_adjacency_maps(self, edges: List[ContractEdge]) -> Tuple[Dict[str, List[str]], Dict[str, List[str]]]:
+        """Returns the adjacency maps for the graph."""
+        predecessor_map = defaultdict(list)
+        successor_map = defaultdict(list)
+        for edge in edges:
+            predecessor_map[edge.target_id].append(edge.source_id)
+            successor_map[edge.source_id].append(edge.target_id)
+        return predecessor_map, successor_map
diff --git a/src/backend/base/langflow/graph/graph/constants.py b/src/backend/base/langflow/graph/graph/constants.py
new file mode 100644
index 00000000000..ca04e81c6fd
--- /dev/null
+++ b/src/backend/base/langflow/graph/graph/constants.py
@@ -0,0 +1,32 @@
+from langflow.graph.schema import CHAT_COMPONENTS
+from langflow.graph.vertex import types
+from langflow.utils.lazy_load import LazyLoadDictBase
+
+
+class VertexTypesDict(LazyLoadDictBase):
+    def __init__(self):
+        self._all_types_dict = None
+
+    @property
+    def VERTEX_TYPE_MAP(self):
+        return self.all_types_dict
+
+    def _build_dict(self):
+        langchain_types_dict = self.get_type_dict()
+        return {
+            **langchain_types_dict,
+            "Custom": ["Custom Tool", "Python Function"],
+        }
+
+    def get_type_dict(self):
+        return {
+            **{t: types.CustomComponentVertex for t in ["CustomComponent"]},
+            **{t: types.ComponentVertex for t in ["Component"]},
+            **{t: types.InterfaceVertex for t in CHAT_COMPONENTS},
+        }
+
+    def get_custom_component_vertex_type(self):
+        return types.CustomComponentVertex
+
+
+lazy_load_vertex_dict = VertexTypesDict()
diff --git a/src/backend/base/langflow/graph/graph/runnable_vertices_manager.py b/src/backend/base/langflow/graph/graph/runnable_vertices_manager.py
new file mode 100644
index 00000000000..63b0aacafd7
--- /dev/null
+++ b/src/backend/base/langflow/graph/graph/runnable_vertices_manager.py
@@ -0,0 +1,144 @@
+import asyncio
+from collections import defaultdict
+from typing import TYPE_CHECKING, Callable, List, Coroutine
+
+if TYPE_CHECKING:
+    from langflow.graph.graph.base import Graph
+    from langflow.graph.vertex.base import Vertex
+
+
+class RunnableVerticesManager:
+    def __init__(self):
+        self.run_map = defaultdict(list)  # Tracks successors of each vertex
+        self.run_predecessors = defaultdict(set)  # Tracks predecessors for each vertex
+        self.vertices_to_run = set()  # Set of vertices that are ready to run
+
+    def to_dict(self) -> dict:
+        return {
+            "run_map": self.run_map,
+            "run_predecessors": self.run_predecessors,
+            "vertices_to_run": self.vertices_to_run,
+        }
+
+    @classmethod
+    def from_dict(cls, data: dict) -> "RunnableVerticesManager":
+        instance = cls()
+        instance.run_map = data["run_map"]
+        instance.run_predecessors = data["run_predecessors"]
+        instance.vertices_to_run = data["vertices_to_run"]
+        return instance
+
+    def __getstate__(self) -> object:
+        return {
+            "run_map": self.run_map,
+            "run_predecessors": self.run_predecessors,
+            "vertices_to_run": self.vertices_to_run,
+        }
+
+    def __setstate__(self, state: dict) -> None:
+        self.run_map = state["run_map"]
+        self.run_predecessors = state["run_predecessors"]
+        self.vertices_to_run = state["vertices_to_run"]
+
+    def is_vertex_runnable(self, vertex_id: str) -> bool:
+        """Determines if a vertex is runnable."""
+
+        return vertex_id in self.vertices_to_run and not self.run_predecessors.get(vertex_id)
+
+    def find_runnable_predecessors_for_successors(self, vertex_id: str) -> List[str]:
+        """Finds runnable predecessors for the successors of a given vertex."""
+        runnable_vertices = []
+        visited = set()
+
+        for successor_id in self.run_map.get(vertex_id, []):
+            for predecessor_id in self.run_predecessors.get(successor_id, []):
+                if predecessor_id not in visited and self.is_vertex_runnable(predecessor_id):
+                    runnable_vertices.append(predecessor_id)
+                    visited.add(predecessor_id)
+        return runnable_vertices
+
+    def remove_from_predecessors(self, vertex_id: str):
+        """Removes a vertex from the predecessor list of its successors."""
+        predecessors = self.run_map.get(vertex_id, [])
+        for predecessor in predecessors:
+            if vertex_id in self.run_predecessors[predecessor]:
+                self.run_predecessors[predecessor].remove(vertex_id)
+
+    def build_run_map(self, graph):
+        """Builds a map of vertices and their runnable successors."""
+        self.run_map = defaultdict(list)
+        for vertex_id, predecessors in graph.predecessor_map.items():
+            for predecessor in predecessors:
+                self.run_map[predecessor].append(vertex_id)
+        self.run_predecessors = graph.predecessor_map.copy()
+        self.vertices_to_run = graph.vertices_to_run
+
+    def update_vertex_run_state(self, vertex_id: str, is_runnable: bool):
+        """Updates the runnable state of a vertex."""
+        if is_runnable:
+            self.vertices_to_run.add(vertex_id)
+        else:
+            self.vertices_to_run.discard(vertex_id)
+
+    async def get_next_runnable_vertices(
+        self,
+        lock: asyncio.Lock,
+        set_cache_coro: Callable[["Graph", asyncio.Lock], Coroutine],
+        graph: "Graph",
+        vertex: "Vertex",
+        cache: bool = True,
+    ) -> List[str]:
+        """
+        Retrieves the next runnable vertices in the graph for a given vertex.
+
+        Args:
+            lock (asyncio.Lock): The lock object to be used for synchronization.
+            set_cache_coro (Callable): The coroutine function to set the cache.
+            graph (Graph): The graph object containing the vertices.
+            vertex (Vertex): The vertex object for which the next runnable vertices are to be retrieved.
+            cache (bool, optional): A flag to indicate if the cache should be updated. Defaults to True.
+
+        Returns:
+            list: A list of IDs of the next runnable vertices.
+
+        """
+        async with lock:
+            self.remove_from_predecessors(vertex.id)
+            direct_successors_ready = [v for v in vertex.successors_ids if self.is_vertex_runnable(v)]
+            if not direct_successors_ready:
+                # No direct successors ready, look for runnable predecessors of successors
+                next_runnable_vertices = self.find_runnable_predecessors_for_successors(vertex.id)
+            else:
+                next_runnable_vertices = direct_successors_ready
+
+            for v_id in set(next_runnable_vertices):  # Use set to avoid duplicates
+                self.remove_vertex_from_runnables(v_id)
+            if cache:
+                await set_cache_coro(data=graph, lock=lock)  # type: ignore
+        return next_runnable_vertices
+
+    def remove_vertex_from_runnables(self, v_id):
+        self.update_vertex_run_state(v_id, is_runnable=False)
+        self.remove_from_predecessors(v_id)
+
+    @staticmethod
+    def get_top_level_vertices(graph, vertices_ids):
+        """
+        Retrieves the top-level vertices from the given graph based on the provided vertex IDs.
+
+        Args:
+            graph (Graph): The graph object containing the vertices.
+            vertices_ids (list): A list of vertex IDs.
+
+        Returns:
+            list: A list of top-level vertex IDs.
+
+        """
+        top_level_vertices = []
+        for vertex_id in vertices_ids:
+            vertex = graph.get_vertex(vertex_id)
+            if vertex.parent_is_top_level:
+                top_level_vertices.append(vertex.parent_node_id)
+            else:
+                top_level_vertices.append(vertex_id)
+        return top_level_vertices
diff --git a/src/backend/base/langflow/graph/graph/state_manager.py b/src/backend/base/langflow/graph/graph/state_manager.py
new file mode 100644
index 00000000000..f04667a3d85
--- /dev/null
+++ b/src/backend/base/langflow/graph/graph/state_manager.py
@@ -0,0 +1,43 @@
+from typing import TYPE_CHECKING, Callable
+
+from loguru import logger
+
+from langflow.services.deps import get_settings_service, get_state_service
+
+if TYPE_CHECKING:
+    from langflow.services.state.service import StateService
+
+
+class GraphStateManager:
+    def __init__(self):
+        try:
+            self.state_service: "StateService" = get_state_service()
+        except Exception as e:
+            logger.debug(f"Error getting state service. Defaulting to InMemoryStateService: {e}")
+            from langflow.services.state.service import InMemoryStateService
+
+            self.state_service = InMemoryStateService(get_settings_service())
+
+    def append_state(self, key, new_state, run_id: str):
+        self.state_service.append_state(key, new_state, run_id)
+
+    def update_state(self, key, new_state, run_id: str):
+        self.state_service.update_state(key, new_state, run_id)
+
+    def get_state(self, key, run_id: str):
+        return self.state_service.get_state(key, run_id)
+
+    def subscribe(self, key, observer: Callable):
+        self.state_service.subscribe(key, observer)
+
+    def notify_observers(self, key, new_state):
+        for callback in self.observers[key]:
+            callback(key, new_state, append=False)
+
+    def notify_append_observers(self, key, new_state):
+        for callback in self.observers[key]:
+            try:
+                callback(key, new_state, append=True)
+            except Exception as e:
+                logger.error(f"Error in observer {callback} for key {key}: {e}")
+                logger.warning("Callbacks not implemented yet")
diff --git a/src/backend/base/langflow/graph/graph/utils.py b/src/backend/base/langflow/graph/graph/utils.py
new file mode 100644
index 00000000000..a3299739ec6
--- /dev/null
+++ b/src/backend/base/langflow/graph/graph/utils.py
@@ -0,0 +1,207 @@
+from collections import deque
+import copy
+
+
+def find_last_node(nodes, edges):
+    """
+    This function receives a flow and returns the last node.
+    """
+    return next((n for n in nodes if all(e["source"] != n["id"] for e in edges)), None)
+
+
+def add_parent_node_id(nodes, parent_node_id):
+    """
+    This function receives a list of nodes and adds a parent_node_id to each node.
+    """
+    for node in nodes:
+        node["parent_node_id"] = parent_node_id
+
+
+def ungroup_node(group_node_data, base_flow):
+    template, flow = (
+        group_node_data["node"]["template"],
+        group_node_data["node"]["flow"],
+    )
+    parent_node_id = group_node_data["id"]
+    g_nodes = flow["data"]["nodes"]
+    add_parent_node_id(g_nodes, parent_node_id)
+    g_edges = flow["data"]["edges"]
+
+    # Redirect edges to the correct proxy node
+    updated_edges = get_updated_edges(base_flow, g_nodes, g_edges, group_node_data["id"])
+
+    # Update template values
+    update_template(template, g_nodes)
+
+    nodes = [n for n in base_flow["nodes"] if n["id"] != group_node_data["id"]] + g_nodes
+    edges = (
+        [e for e in base_flow["edges"] if e["target"] != group_node_data["id"] and e["source"] != group_node_data["id"]]
+        + g_edges
+        + updated_edges
+    )
+
+    base_flow["nodes"] = nodes
+    base_flow["edges"] = edges
+
+    return nodes
+
+
+def process_flow(flow_object):
+    cloned_flow = copy.deepcopy(flow_object)
+    processed_nodes = set()  # To keep track of processed nodes
+
+    def process_node(node):
+        node_id = node.get("id")
+
+        # If node already processed, skip
+        if node_id in processed_nodes:
+            return
+
+        if node.get("data") and node["data"].get("node") and node["data"]["node"].get("flow"):
+            process_flow(node["data"]["node"]["flow"]["data"])
+            new_nodes = ungroup_node(node["data"], cloned_flow)
+            # Add new nodes to the queue for future processing
+            nodes_to_process.extend(new_nodes)
+
+        # Mark node as processed
+        processed_nodes.add(node_id)
+
+    nodes_to_process = deque(cloned_flow["nodes"])
+
+    while nodes_to_process:
+        node = nodes_to_process.popleft()
+        process_node(node)
+
+    return cloned_flow
+
+
+def update_template(template, g_nodes):
+    """
+    Updates the template of a node in a graph with the given template.
+
+    Args:
+        template (dict): The new template to update the node with.
+        g_nodes (list): The list of nodes in the graph.
+
+    Returns:
+        None
+    """
+    for _, value in template.items():
+        if not value.get("proxy"):
+            continue
+        proxy_dict = value["proxy"]
+        field, id_ = proxy_dict["field"], proxy_dict["id"]
+        node_index = next((i for i, n in enumerate(g_nodes) if n["id"] == id_), -1)
+        if node_index != -1:
+            display_name = None
+            show = g_nodes[node_index]["data"]["node"]["template"][field]["show"]
+            advanced = g_nodes[node_index]["data"]["node"]["template"][field]["advanced"]
+            if "display_name" in g_nodes[node_index]["data"]["node"]["template"][field]:
+                display_name = g_nodes[node_index]["data"]["node"]["template"][field]["display_name"]
+            else:
+                display_name = g_nodes[node_index]["data"]["node"]["template"][field]["name"]
+
+            g_nodes[node_index]["data"]["node"]["template"][field] = value
+            g_nodes[node_index]["data"]["node"]["template"][field]["show"] = show
+            g_nodes[node_index]["data"]["node"]["template"][field]["advanced"] = advanced
+            g_nodes[node_index]["data"]["node"]["template"][field]["display_name"] = display_name
+
+
+def update_target_handle(new_edge, g_nodes, group_node_id):
+    """
+    Updates the target handle of a given edge if it is a proxy node.
+
+    Args:
+        new_edge (dict): The edge to update.
+        g_nodes (list): The list of nodes in the graph.
+        group_node_id (str): The ID of the group node.
+
+    Returns:
+        dict: The updated edge.
+    """
+    target_handle = new_edge["data"]["targetHandle"]
+    if target_handle.get("proxy"):
+        proxy_id = target_handle["proxy"]["id"]
+        if node := next((n for n in g_nodes if n["id"] == proxy_id), None):
+            set_new_target_handle(proxy_id, new_edge, target_handle, node)
+    return new_edge
+
+
+def set_new_target_handle(proxy_id, new_edge, target_handle, node):
+    """
+    Sets a new target handle for a given edge.
+
+    Args:
+        proxy_id (str): The ID of the proxy.
+        new_edge (dict): The new edge to be created.
+        target_handle (dict): The target handle of the edge.
+        node (dict): The node containing the edge.
+
+    Returns:
+        None
+    """
+    new_edge["target"] = proxy_id
+    _type = target_handle.get("type")
+    if _type is None:
+        raise KeyError("The 'type' key must be present in target_handle.")
+
+    field = target_handle["proxy"]["field"]
+    new_target_handle = {
+        "fieldName": field,
+        "type": _type,
+        "id": proxy_id,
+    }
+    if node["data"]["node"].get("flow"):
+        new_target_handle["proxy"] = {
+            "field": node["data"]["node"]["template"][field]["proxy"]["field"],
+            "id": node["data"]["node"]["template"][field]["proxy"]["id"],
+        }
+    if input_types := target_handle.get("inputTypes"):
+        new_target_handle["inputTypes"] = input_types
+    new_edge["data"]["targetHandle"] = new_target_handle
+
+
+def update_source_handle(new_edge, g_nodes, g_edges):
+    """
+    Updates the source handle of a given edge to the last node in the flow data.
+
+    Args:
+        new_edge (dict): The edge to update.
+        flow_data (dict): The flow data containing the nodes and edges.
+
+    Returns:
+        dict: The updated edge with the new source handle.
+    """
+    last_node = copy.deepcopy(find_last_node(g_nodes, g_edges))
+    new_edge["source"] = last_node["id"]
+    new_source_handle = new_edge["data"]["sourceHandle"]
+    new_source_handle["id"] = last_node["id"]
+    new_edge["data"]["sourceHandle"] = new_source_handle
+    return new_edge
+
+
+def get_updated_edges(base_flow, g_nodes, g_edges, group_node_id):
+    """
+    Given a base flow, a list of graph nodes and a group node id, returns a list of updated edges.
+    An updated edge is an edge that has its target or source handle updated based on the group node id.
+
+    Args:
+        base_flow (dict): The base flow containing a list of edges.
+        g_nodes (list): A list of graph nodes.
+        group_node_id (str): The id of the group node.
+
+    Returns:
+        list: A list of updated edges.
+    """
+    updated_edges = []
+    for edge in base_flow["edges"]:
+        new_edge = copy.deepcopy(edge)
+        if new_edge["target"] == group_node_id:
+            new_edge = update_target_handle(new_edge, g_nodes, group_node_id)
+
+        if new_edge["source"] == group_node_id:
+            new_edge = update_source_handle(new_edge, g_nodes, g_edges)
+
+        if edge["target"] == group_node_id or edge["source"] == group_node_id:
+            updated_edges.append(new_edge)
+    return updated_edges
diff --git a/src/backend/base/langflow/graph/schema.py b/src/backend/base/langflow/graph/schema.py
new file mode 100644
index 00000000000..40b707fbd07
--- /dev/null
+++ b/src/backend/base/langflow/graph/schema.py
@@ -0,0 +1,82 @@
+from enum import Enum
+from typing import Any, List, Optional
+
+from pydantic import BaseModel, Field, field_serializer, model_validator
+
+from langflow.graph.utils import serialize_field
+from langflow.schema.schema import OutputLog, StreamURL
+from langflow.utils.schemas import ChatOutputResponse, ContainsEnumMeta
+
+
+class ResultData(BaseModel):
+    results: Optional[Any] = Field(default_factory=dict)
+    artifacts: Optional[Any] = Field(default_factory=dict)
+    outputs: Optional[dict] = Field(default_factory=dict)
+    messages: Optional[list[ChatOutputResponse]] = Field(default_factory=list)
+    timedelta: Optional[float] = None
+    duration: Optional[str] = None
+    component_display_name: Optional[str] = None
+    component_id: Optional[str] = None
+    used_frozen_result: Optional[bool] = False
+
+    @field_serializer("results")
+    def serialize_results(self, value):
+        if isinstance(value, dict):
+            return {key: serialize_field(val) for key, val in value.items()}
+        return serialize_field(value)
+
+    @model_validator(mode="before")
+    @classmethod
+    def validate_model(cls, values):
+        if not values.get("outputs") and values.get("artifacts"):
+            # Build the log from the artifacts
+
+            for key in values["artifacts"]:
+                message = values["artifacts"][key]
+
+                # ! Temporary fix
+                if message is None:
+                    continue
+
+                if "stream_url" in message and "type" in message:
+                    stream_url = StreamURL(location=message["stream_url"])
+                    values["outputs"].update({key: OutputLog(message=stream_url, type=message["type"])})
+                elif "type" in message:
+                    values["outputs"].update({OutputLog(message=message, type=message["type"])})
+        return values
+
+
+class InterfaceComponentTypes(str, Enum, metaclass=ContainsEnumMeta):
+    # ChatInput and ChatOutput are the only ones that are
+    # power components
+    ChatInput = "ChatInput"
+    ChatOutput = "ChatOutput"
+    TextInput = "TextInput"
+    TextOutput = "TextOutput"
+    DataOutput = "DataOutput"
+
+    def __contains__(cls, item):
+        try:
+            cls(item)
+        except ValueError:
+            return False
+        else:
+            return True
+
+
+CHAT_COMPONENTS = [InterfaceComponentTypes.ChatInput, InterfaceComponentTypes.ChatOutput]
+RECORDS_COMPONENTS = [InterfaceComponentTypes.DataOutput]
+INPUT_COMPONENTS = [
+    InterfaceComponentTypes.ChatInput,
+    InterfaceComponentTypes.TextInput,
+]
+OUTPUT_COMPONENTS = [
+    InterfaceComponentTypes.ChatOutput,
+    InterfaceComponentTypes.TextOutput,
+    InterfaceComponentTypes.DataOutput,
+]
+
+
+class RunOutputs(BaseModel):
+    inputs: dict = Field(default_factory=dict)
+    outputs: List[Optional[ResultData]] = Field(default_factory=list)
diff --git a/src/backend/base/langflow/graph/utils.py b/src/backend/base/langflow/graph/utils.py
new file mode 100644
index 00000000000..7183b923f2b
--- /dev/null
+++ b/src/backend/base/langflow/graph/utils.py
@@ -0,0 +1,100 @@
+from enum import Enum
+from typing import Any, Generator, Union
+
+from langchain_core.documents import Document
+from pydantic import BaseModel
+
+from langflow.interface.utils import extract_input_variables_from_prompt
+from langflow.schema.data import Data
+from langflow.schema.message import Message
+
+
+class UnbuiltObject:
+    pass
+
+
+class UnbuiltResult:
+    pass
+
+
+class ArtifactType(str, Enum):
+    TEXT = "text"
+    RECORD = "record"
+    OBJECT = "object"
+    ARRAY = "array"
+    STREAM = "stream"
+    UNKNOWN = "unknown"
+    MESSAGE = "message"
+
+
+def validate_prompt(prompt: str):
+    """Validate prompt."""
+    if extract_input_variables_from_prompt(prompt):
+        return prompt
+
+    return fix_prompt(prompt)
+
+
+def fix_prompt(prompt: str):
+    """Fix prompt."""
+    return prompt + " {input}"
+
+
+def flatten_list(list_of_lists: list[Union[list, Any]]) -> list:
+    """Flatten list of lists."""
+    new_list = []
+    for item in list_of_lists:
+        if isinstance(item, list):
+            new_list.extend(item)
+        else:
+            new_list.append(item)
+    return new_list
+
+
+def serialize_field(value):
+    """Unified serialization function for handling both BaseModel and Document types,
+    including handling lists of these types."""
+
+    if isinstance(value, (list, tuple)):
+        return [serialize_field(v) for v in value]
+    elif isinstance(value, Document):
+        return value.to_json()
+    elif isinstance(value, BaseModel):
+        return value.model_dump()
+    elif isinstance(value, str):
+        return {"result": value}
+    return value
+
+
+def get_artifact_type(value, build_result) -> str:
+    result = ArtifactType.UNKNOWN
+    match value:
+        case Data():
+            result = ArtifactType.RECORD
+
+        case str():
+            result = ArtifactType.TEXT
+
+        case dict():
+            result = ArtifactType.OBJECT
+
+        case list():
+            result = ArtifactType.ARRAY
+
+        case Message():
+            result = ArtifactType.MESSAGE
+
+    if result == ArtifactType.UNKNOWN:
+        if isinstance(build_result, Generator):
+            result = ArtifactType.STREAM
+        elif isinstance(value, Message) and isinstance(value.text, Generator):
+            result = ArtifactType.STREAM
+
+    return result.value
+
+
+def post_process_raw(raw, artifact_type: str):
+    if artifact_type == ArtifactType.STREAM.value:
+        raw = ""
+
+    return raw
diff --git a/src/backend/langflow/interface/initialize/__init__.py b/src/backend/base/langflow/graph/vertex/__init__.py
similarity index 100%
rename from src/backend/langflow/interface/initialize/__init__.py
rename to src/backend/base/langflow/graph/vertex/__init__.py
diff --git a/src/backend/base/langflow/graph/vertex/base.py b/src/backend/base/langflow/graph/vertex/base.py
new file mode 100644
index 00000000000..9c657de8d06
--- /dev/null
+++ b/src/backend/base/langflow/graph/vertex/base.py
@@ -0,0 +1,764 @@
+import ast
+import asyncio
+import inspect
+import os
+import traceback
+import types
+from enum import Enum
+from typing import TYPE_CHECKING, Any, AsyncIterator, Callable, Dict, Iterator, List, Mapping, Optional, Set
+
+from loguru import logger
+
+from langflow.exceptions.component import ComponentBuildException
+from langflow.graph.schema import INPUT_COMPONENTS, OUTPUT_COMPONENTS, InterfaceComponentTypes, ResultData
+from langflow.graph.utils import UnbuiltObject, UnbuiltResult
+from langflow.interface.initialize import loading
+from langflow.interface.listing import lazy_load_dict
+from langflow.schema.artifact import ArtifactType
+from langflow.schema.schema import INPUT_FIELD_NAME, OutputLog, build_output_logs
+from langflow.services.deps import get_storage_service
+from langflow.services.monitor.utils import log_transaction
+from langflow.utils.constants import DIRECT_TYPES
+from langflow.utils.schemas import ChatOutputResponse
+from langflow.utils.util import sync_to_async, unescape_string
+
+if TYPE_CHECKING:
+    from langflow.graph.edge.base import ContractEdge
+    from langflow.graph.graph.base import Graph
+
+
+class VertexStates(str, Enum):
+    """Vertex are related to it being active, inactive, or in an error state."""
+
+    ACTIVE = "active"
+    INACTIVE = "inactive"
+    ERROR = "error"
+
+
+class Vertex:
+    def __init__(
+        self,
+        data: Dict,
+        graph: "Graph",
+        base_type: Optional[str] = None,
+        is_task: bool = False,
+        params: Optional[Dict] = None,
+    ) -> None:
+        # is_external means that the Vertex send or receives data from
+        # an external source (e.g the chat)
+        self._lock = asyncio.Lock()
+        self.will_stream = False
+        self.updated_raw_params = False
+        self.id: str = data["id"]
+        self.base_name = self.id.split("-")[0]
+        self.is_state = False
+        self.is_input = any(input_component_name in self.id for input_component_name in INPUT_COMPONENTS)
+        self.is_output = any(output_component_name in self.id for output_component_name in OUTPUT_COMPONENTS)
+        self.has_session_id = None
+        self._custom_component = None
+        self.has_external_input = False
+        self.has_external_output = False
+        self.graph = graph
+        self._data = data
+        self.base_type: Optional[str] = base_type
+        self.outputs: List[Dict] = []
+        self._parse_data()
+        self._built_object = UnbuiltObject()
+        self._built_result = None
+        self._built = False
+        self.artifacts: Dict[str, Any] = {}
+        self.artifacts_raw: Dict[str, Any] = {}
+        self.artifacts_type: Dict[str, str] = {}
+        self.steps: List[Callable] = [self._build]
+        self.steps_ran: List[Callable] = []
+        self.task_id: Optional[str] = None
+        self.is_task = is_task
+        self.params = params or {}
+        self.parent_node_id: Optional[str] = self._data.get("parent_node_id")
+        self.load_from_db_fields: List[str] = []
+        self.parent_is_top_level = False
+        self.layer = None
+        self.result: Optional[ResultData] = None
+        self.results: Dict[str, Any] = {}
+        self.outputs_logs: Dict[str, OutputLog] = {}
+        try:
+            self.is_interface_component = self.vertex_type in InterfaceComponentTypes
+        except ValueError:
+            self.is_interface_component = False
+
+        self.use_result = False
+        self.build_times: List[float] = []
+        self.state = VertexStates.ACTIVE
+
+    def add_result(self, name: str, result: Any):
+        self.results[name] = result
+
+    def update_graph_state(self, key, new_state, append: bool):
+        if append:
+            self.graph.append_state(key, new_state, caller=self.id)
+        else:
+            self.graph.update_state(key, new_state, caller=self.id)
+
+    def set_state(self, state: str):
+        self.state = VertexStates[state]
+        if self.state == VertexStates.INACTIVE and self.graph.in_degree_map[self.id] < 2:
+            # If the vertex is inactive and has only one in degree
+            # it means that it is not a merge point in the graph
+            self.graph.inactivated_vertices.add(self.id)
+        elif self.state == VertexStates.ACTIVE and self.id in self.graph.inactivated_vertices:
+            self.graph.inactivated_vertices.remove(self.id)
+
+    @property
+    def avg_build_time(self):
+        return sum(self.build_times) / len(self.build_times) if self.build_times else 0
+
+    def add_build_time(self, time):
+        self.build_times.append(time)
+
+    def set_result(self, result: ResultData) -> None:
+        self.result = result
+
+    def get_built_result(self):
+        # If the Vertex.type is a power component
+        # then we need to return the built object
+        # instead of the result dict
+        if self.is_interface_component and not isinstance(self._built_object, UnbuiltObject):
+            result = self._built_object
+            # if it is not a dict or a string and hasattr model_dump then
+            # return the model_dump
+            if not isinstance(result, (dict, str)) and hasattr(result, "content"):
+                return result.content
+            return result
+        if isinstance(self._built_object, str):
+            self._built_result = self._built_object
+
+        if isinstance(self._built_result, UnbuiltResult):
+            return {}
+        return self._built_result if isinstance(self._built_result, dict) else {"result": self._built_result}
+
+    def set_artifacts(self) -> None:
+        pass
+
+    @property
+    def edges(self) -> List["ContractEdge"]:
+        return self.graph.get_vertex_edges(self.id)
+
+    @property
+    def outgoing_edges(self) -> List["ContractEdge"]:
+        return [edge for edge in self.edges if edge.source_id == self.id]
+
+    @property
+    def incoming_edges(self) -> List["ContractEdge"]:
+        return [edge for edge in self.edges if edge.target_id == self.id]
+
+    @property
+    def edges_source_names(self) -> Set[str | None]:
+        return {edge.source_handle.name for edge in self.edges}
+
+    @property
+    def predecessors(self) -> List["Vertex"]:
+        return self.graph.get_predecessors(self)
+
+    @property
+    def successors(self) -> List["Vertex"]:
+        return self.graph.get_successors(self)
+
+    @property
+    def successors_ids(self) -> List[str]:
+        return self.graph.successor_map.get(self.id, [])
+
+    def __getstate__(self):
+        state = self.__dict__.copy()
+        state["_lock"] = None  # Locks are not serializable
+        state["_built_object"] = None if isinstance(self._built_object, UnbuiltObject) else self._built_object
+        state["_built_result"] = None if isinstance(self._built_result, UnbuiltResult) else self._built_result
+        return state
+
+    def __setstate__(self, state):
+        self.__dict__.update(state)
+        self._lock = asyncio.Lock()  # Reinitialize the lock
+        self._built_object = state.get("_built_object") or UnbuiltObject()
+        self._built_result = state.get("_built_result") or UnbuiltResult()
+
+    def set_top_level(self, top_level_vertices: List[str]) -> None:
+        self.parent_is_top_level = self.parent_node_id in top_level_vertices
+
+    def _parse_data(self) -> None:
+        self.data = self._data["data"]
+        if self.data["node"]["template"]["_type"] == "Component":
+            if "outputs" not in self.data["node"]:
+                raise ValueError(f"Outputs not found for {self.display_name}")
+            self.outputs = self.data["node"]["outputs"]
+        else:
+            self.outputs = self.data["node"].get("outputs", [])
+            self.output = self.data["node"]["base_classes"]
+
+        self.display_name: str = self.data["node"].get("display_name", self.id.split("-")[0])
+
+        self.description: str = self.data["node"].get("description", "")
+        self.frozen: bool = self.data["node"].get("frozen", False)
+
+        self.is_input = self.data["node"].get("is_input") or self.is_input
+        self.is_output = self.data["node"].get("is_output") or self.is_output
+        template_dicts = {key: value for key, value in self.data["node"]["template"].items() if isinstance(value, dict)}
+
+        self.has_session_id = "session_id" in template_dicts
+
+        self.required_inputs: list[str] = []
+        self.optional_inputs: list[str] = []
+        for value_dict in template_dicts.values():
+            list_to_append = self.required_inputs if value_dict.get("required") else self.optional_inputs
+
+            if "type" in value_dict:
+                list_to_append.append(value_dict["type"])
+            if "input_types" in value_dict:
+                list_to_append.extend(value_dict["input_types"])
+
+        template_dict = self.data["node"]["template"]
+        self.vertex_type = (
+            self.data["type"]
+            if "Tool" not in [type_ for out in self.outputs for type_ in out["types"]]
+            or template_dict["_type"].islower()
+            else template_dict["_type"]
+        )
+
+        if self.base_type is None:
+            for base_type, value in lazy_load_dict.ALL_TYPES_DICT.items():
+                if self.vertex_type in value:
+                    self.base_type = base_type
+                    break
+
+    def get_task(self):
+        # using the task_id, get the task from celery
+        # and return it
+        from celery.result import AsyncResult  # type: ignore
+
+        return AsyncResult(self.task_id)
+
+    def _build_params(self):
+        # sourcery skip: merge-list-append, remove-redundant-if
+        # Some params are required, some are optional
+        # but most importantly, some params are python base classes
+        # like str and others are LangChain objects like LLMChain, BasePromptTemplate
+        # so we need to be able to distinguish between the two
+
+        # The dicts with "type" == "str" are the ones that are python base classes
+        # and most likely have a "value" key
+
+        # So for each key besides "_type" in the template dict, we have a dict
+        # with a "type" key. If the type is not "str", then we need to get the
+        # edge that connects to that node and get the Node with the required data
+        # and use that as the value for the param
+        # If the type is "str", then we need to get the value of the "value" key
+        # and use that as the value for the param
+
+        if self.graph is None:
+            raise ValueError("Graph not found")
+
+        if self.updated_raw_params:
+            self.updated_raw_params = False
+            return
+
+        template_dict = {key: value for key, value in self.data["node"]["template"].items() if isinstance(value, dict)}
+        params = {}
+
+        for edge in self.edges:
+            if not hasattr(edge, "target_param"):
+                continue
+            param_key = edge.target_param
+
+            # If the param_key is in the template_dict and the edge.target_id is the current node
+            # We check this to make sure params with the same name but different target_id
+            # don't get overwritten
+            if param_key in template_dict and edge.target_id == self.id:
+                if template_dict[param_key].get("list"):
+                    if param_key not in params:
+                        params[param_key] = []
+                    params[param_key].append(self.graph.get_vertex(edge.source_id))
+                elif edge.target_id == self.id:
+                    if isinstance(template_dict[param_key].get("value"), dict):
+                        # we don't know the key of the dict but we need to set the value
+                        # to the vertex that is the source of the edge
+                        param_dict = template_dict[param_key]["value"]
+                        params[param_key] = {key: self.graph.get_vertex(edge.source_id) for key in param_dict.keys()}
+                    else:
+                        params[param_key] = self.graph.get_vertex(edge.source_id)
+
+        load_from_db_fields = []
+        for field_name, field in template_dict.items():
+            if field_name in params:
+                continue
+            # Skip _type and any value that has show == False and is not code
+            # If we don't want to show code but we want to use it
+            if field_name == "_type" or (not field.get("show") and field_name != "code"):
+                continue
+            # If the type is not transformable to a python base class
+            # then we need to get the edge that connects to this node
+            if field.get("type") == "file":
+                # Load the type in value.get('fileTypes') using
+                # what is inside value.get('content')
+                # value.get('value') is the file name
+                if file_path := field.get("file_path"):
+                    storage_service = get_storage_service()
+                    try:
+                        flow_id, file_name = os.path.split(file_path)
+                        full_path = storage_service.build_full_path(flow_id, file_name)
+                    except ValueError as e:
+                        if "too many values to unpack" in str(e):
+                            full_path = file_path
+                        else:
+                            raise e
+                    params[field_name] = full_path
+                elif field.get("required"):
+                    field_display_name = field.get("display_name")
+                    logger.warning(
+                        f"File path not found for {field_display_name} in component {self.display_name}. "
+                        "Setting to None."
+                    )
+                    params[field_name] = None
+                else:
+                    if field["list"]:
+                        params[field_name] = []
+                    else:
+                        params[field_name] = None
+
+            elif field.get("type") in DIRECT_TYPES and params.get(field_name) is None:
+                val = field.get("value")
+                if field.get("type") == "code":
+                    try:
+                        params[field_name] = ast.literal_eval(val) if val else None
+                    except Exception:
+                        params[field_name] = val
+                elif field.get("type") in ["dict", "NestedDict"]:
+                    # When dict comes from the frontend it comes as a
+                    # list of dicts, so we need to convert it to a dict
+                    # before passing it to the build method
+                    if isinstance(val, list):
+                        params[field_name] = {k: v for item in field.get("value", []) for k, v in item.items()}
+                    elif isinstance(val, dict):
+                        params[field_name] = val
+                elif field.get("type") == "int" and val is not None:
+                    try:
+                        params[field_name] = int(val)
+                    except ValueError:
+                        params[field_name] = val
+                elif field.get("type") == "float" and val is not None:
+                    try:
+                        params[field_name] = float(val)
+                    except ValueError:
+                        params[field_name] = val
+                        params[field_name] = val
+                elif field.get("type") == "str" and val is not None:
+                    # val may contain escaped \n, \t, etc.
+                    # so we need to unescape it
+                    if isinstance(val, list):
+                        params[field_name] = [unescape_string(v) for v in val]
+                    elif isinstance(val, str):
+                        params[field_name] = unescape_string(val)
+                elif field.get("type") == "bool" and val is not None:
+                    if isinstance(val, bool):
+                        params[field_name] = val
+                    elif isinstance(val, str):
+                        params[field_name] = val != ""
+                elif val is not None and val != "":
+                    params[field_name] = val
+
+                elif val is not None and val != "":
+                    params[field_name] = val
+                if field.get("load_from_db"):
+                    load_from_db_fields.append(field_name)
+
+            if not field.get("required") and params.get(field_name) is None:
+                if field.get("default"):
+                    params[field_name] = field.get("default")
+                else:
+                    params.pop(field_name, None)
+        # Add _type to params
+        self.params = params
+        self.load_from_db_fields = load_from_db_fields
+        self._raw_params = params.copy()
+
+    def update_raw_params(self, new_params: Mapping[str, str | list[str]], overwrite: bool = False):
+        """
+        Update the raw parameters of the vertex with the given new parameters.
+
+        Args:
+            new_params (Dict[str, Any]): The new parameters to update.
+
+        Raises:
+            ValueError: If any key in new_params is not found in self._raw_params.
+        """
+        # First check if the input_value in _raw_params is not a vertex
+        if not new_params:
+            return
+        if any(isinstance(self._raw_params.get(key), Vertex) for key in new_params):
+            return
+        if not overwrite:
+            for key in new_params.copy():  # type: ignore
+                if key not in self._raw_params:
+                    new_params.pop(key)  # type: ignore
+        self._raw_params.update(new_params)
+        self.params = self._raw_params.copy()
+        self.updated_raw_params = True
+
+    async def _build(
+        self,
+        fallback_to_env_vars,
+        user_id=None,
+    ):
+        """
+        Initiate the build process.
+        """
+        logger.debug(f"Building {self.display_name}")
+        await self._build_each_vertex_in_params_dict(user_id)
+        await self._get_and_instantiate_class(user_id, fallback_to_env_vars)
+        self._validate_built_object()
+
+        self._built = True
+
+    def extract_messages_from_artifacts(self, artifacts: Dict[str, Any]) -> List[dict]:
+        """
+        Extracts messages from the artifacts.
+
+        Args:
+            artifacts (Dict[str, Any]): The artifacts to extract messages from.
+
+        Returns:
+            List[str]: The extracted messages.
+        """
+        try:
+            messages = [
+                ChatOutputResponse(
+                    message=artifacts["text"],
+                    sender=artifacts.get("sender"),
+                    sender_name=artifacts.get("sender_name"),
+                    session_id=artifacts.get("session_id"),
+                    stream_url=artifacts.get("stream_url"),
+                    files=[{"path": file} if isinstance(file, str) else file for file in artifacts.get("files", [])],
+                    component_id=self.id,
+                    type=self.artifacts_type,
+                ).model_dump(exclude_none=True)
+            ]
+        except KeyError:
+            messages = []
+
+        return messages
+
+    def _finalize_build(self):
+        result_dict = self.get_built_result()
+        # We need to set the artifacts to pass information
+        # to the frontend
+        self.set_artifacts()
+        artifacts = self.artifacts_raw
+        if isinstance(artifacts, dict):
+            messages = self.extract_messages_from_artifacts(artifacts)
+        else:
+            messages = []
+        result_dict = ResultData(
+            results=result_dict,
+            artifacts=artifacts,
+            outputs=self.outputs_logs,
+            messages=messages,
+            component_display_name=self.display_name,
+            component_id=self.id,
+        )
+        self.set_result(result_dict)
+
+    async def _build_each_vertex_in_params_dict(self, user_id=None):
+        """
+        Iterates over each vertex in the params dictionary and builds it.
+        """
+        for key, value in self._raw_params.items():
+            if self._is_vertex(value):
+                if value == self:
+                    del self.params[key]
+                    continue
+                await self._build_vertex_and_update_params(
+                    key,
+                    value,
+                )
+            elif isinstance(value, list) and self._is_list_of_vertices(value):
+                await self._build_list_of_vertices_and_update_params(key, value)
+            elif isinstance(value, dict):
+                await self._build_dict_and_update_params(
+                    key,
+                    value,
+                )
+            elif key not in self.params or self.updated_raw_params:
+                self.params[key] = value
+
+    async def _build_dict_and_update_params(
+        self,
+        key,
+        vertices_dict: Dict[str, "Vertex"],
+    ):
+        """
+        Iterates over a dictionary of vertices, builds each and updates the params dictionary.
+        """
+        for sub_key, value in vertices_dict.items():
+            if not self._is_vertex(value):
+                self.params[key][sub_key] = value
+            else:
+                result = await value.get_result(self)
+                self.params[key][sub_key] = result
+
+    def _is_vertex(self, value):
+        """
+        Checks if the provided value is an instance of Vertex.
+        """
+        return isinstance(value, Vertex)
+
+    def _is_list_of_vertices(self, value):
+        """
+        Checks if the provided value is a list of Vertex instances.
+        """
+        return all(self._is_vertex(vertex) for vertex in value)
+
+    async def get_result(self, requester: "Vertex") -> Any:
+        """
+        Retrieves the result of the vertex.
+
+        This is a read-only method so it raises an error if the vertex has not been built yet.
+
+        Returns:
+            The result of the vertex.
+        """
+        async with self._lock:
+            return await self._get_result(requester)
+
+    async def _get_result(self, requester: "Vertex") -> Any:
+        """
+        Retrieves the result of the built component.
+
+        If the component has not been built yet, a ValueError is raised.
+
+        Returns:
+            The built result if use_result is True, else the built object.
+        """
+        flow_id = self.graph.flow_id
+        if not self._built:
+            log_transaction(flow_id, source=self, target=requester, status="error")
+            raise ValueError(f"Component {self.display_name} has not been built yet")
+
+        result = self._built_result if self.use_result else self._built_object
+        log_transaction(flow_id, source=self, target=requester, status="success")
+        return result
+
+    async def _build_vertex_and_update_params(self, key, vertex: "Vertex"):
+        """
+        Builds a given vertex and updates the params dictionary accordingly.
+        """
+
+        result = await vertex.get_result(self)
+        self._handle_func(key, result)
+        if isinstance(result, list):
+            self._extend_params_list_with_result(key, result)
+        self.params[key] = result
+
+    async def _build_list_of_vertices_and_update_params(
+        self,
+        key,
+        vertices: List["Vertex"],
+    ):
+        """
+        Iterates over a list of vertices, builds each and updates the params dictionary.
+        """
+        self.params[key] = []
+        for vertex in vertices:
+            result = await vertex.get_result(self)
+            # Weird check to see if the params[key] is a list
+            # because sometimes it is a Data and breaks the code
+            if not isinstance(self.params[key], list):
+                self.params[key] = [self.params[key]]
+
+            if isinstance(result, list):
+                self.params[key].extend(result)
+            else:
+                try:
+                    if self.params[key] == result:
+                        continue
+
+                    self.params[key].append(result)
+                except AttributeError as e:
+                    logger.exception(e)
+                    raise ValueError(
+                        f"Params {key} ({self.params[key]}) is not a list and cannot be extended with {result}"
+                        f"Error building Component {self.display_name}:\n\n{str(e)}"
+                    ) from e
+
+    def _handle_func(self, key, result):
+        """
+        Handles 'func' key by checking if the result is a function and setting it as coroutine.
+        """
+        if key == "func":
+            if not isinstance(result, types.FunctionType):
+                if hasattr(result, "run"):
+                    result = result.run  # type: ignore
+                elif hasattr(result, "get_function"):
+                    result = result.get_function()  # type: ignore
+            elif inspect.iscoroutinefunction(result):
+                self.params["coroutine"] = result
+            else:
+                self.params["coroutine"] = sync_to_async(result)
+
+    def _extend_params_list_with_result(self, key, result):
+        """
+        Extends a list in the params dictionary with the given result if it exists.
+        """
+        if isinstance(self.params[key], list):
+            self.params[key].extend(result)
+
+    async def _get_and_instantiate_class(self, user_id=None, fallback_to_env_vars=False):
+        """
+        Gets the class from a dictionary and instantiates it with the params.
+        """
+        if self.base_type is None:
+            raise ValueError(f"Base type for vertex {self.display_name} not found")
+        try:
+            result = await loading.instantiate_class(
+                user_id=user_id,
+                fallback_to_env_vars=fallback_to_env_vars,
+                vertex=self,
+            )
+            self.outputs_logs = build_output_logs(self, result)
+            self._update_built_object_and_artifacts(result)
+        except Exception as exc:
+            tb = traceback.format_exc()
+            logger.exception(exc)
+            raise ComponentBuildException(f"Error building Component {self.display_name}:\n\n{exc}", tb) from exc
+
+    def _update_built_object_and_artifacts(self, result):
+        """
+        Updates the built object and its artifacts.
+        """
+        if isinstance(result, tuple):
+            if len(result) == 2:
+                self._built_object, self.artifacts = result
+            elif len(result) == 3:
+                self._custom_component, self._built_object, self.artifacts = result
+                self.artifacts_raw = self.artifacts.get("raw", None)
+                self.artifacts_type = self.artifacts.get("type", None) or ArtifactType.UNKNOWN.value
+                self.artifacts = {self.outputs[0]["name"]: self.artifacts}
+        else:
+            self._built_object = result
+
+    def _validate_built_object(self):
+        """
+        Checks if the built object is None and raises a ValueError if so.
+        """
+        if isinstance(self._built_object, UnbuiltObject):
+            raise ValueError(f"{self.display_name}: {self._built_object_repr()}")
+        elif self._built_object is None:
+            message = f"{self.display_name} returned None."
+            if self.base_type == "custom_components":
+                message += " Make sure your build method returns a component."
+
+            logger.warning(message)
+        elif isinstance(self._built_object, (Iterator, AsyncIterator)):
+            if self.display_name in ["Text Output"]:
+                raise ValueError(f"You are trying to stream to a {self.display_name}. Try using a Chat Output instead.")
+
+    def _reset(self, params_update: Optional[Dict[str, Any]] = None):
+        self._built = False
+        self._built_object = UnbuiltObject()
+        self._built_result = UnbuiltResult()
+        self.artifacts = {}
+        self.steps_ran = []
+        self._build_params()
+
+    def _is_chat_input(self):
+        return False
+
+    def build_inactive(self):
+        # Just set the results to None
+        self._built = True
+        self._built_object = None
+        self._built_result = None
+
+    async def build(
+        self,
+        user_id=None,
+        inputs: Optional[Dict[str, Any]] = None,
+        files: Optional[list[str]] = None,
+        requester: Optional["Vertex"] = None,
+        **kwargs,
+    ) -> Any:
+        async with self._lock:
+            if self.state == VertexStates.INACTIVE:
+                # If the vertex is inactive, return None
+                self.build_inactive()
+                return
+
+            if self.frozen and self._built:
+                return self.get_requester_result(requester)
+            elif self._built and requester is not None:
+                # This means that the vertex has already been built
+                # and we are just getting the result for the requester
+                return await self.get_requester_result(requester)
+            self._reset()
+
+            if self._is_chat_input() and (inputs or files):
+                chat_input = {}
+                if inputs:
+                    chat_input.update({"input_value": inputs.get(INPUT_FIELD_NAME, "")})
+                if files:
+                    chat_input.update({"files": files})
+
+                self.update_raw_params(chat_input, overwrite=True)
+
+            # Run steps
+            for step in self.steps:
+                if step not in self.steps_ran:
+                    if inspect.iscoroutinefunction(step):
+                        await step(user_id=user_id, **kwargs)
+                    else:
+                        step(user_id=user_id, **kwargs)
+                    self.steps_ran.append(step)
+
+            self._finalize_build()
+
+        result = await self.get_requester_result(requester)
+        return result
+
+    async def get_requester_result(self, requester: Optional["Vertex"]):
+        # If the requester is None, this means that
+        # the Vertex is the root of the graph
+        if requester is None:
+            return self._built_object
+
+        # Get the requester edge
+        requester_edge = next((edge for edge in self.edges if edge.target_id == requester.id), None)
+        # Return the result of the requester edge
+        return (
+            None
+            if requester_edge is None
+            else await requester_edge.get_result_from_source(source=self, target=requester)
+        )
+
+    def add_edge(self, edge: "ContractEdge") -> None:
+        if edge not in self.edges:
+            self.edges.append(edge)
+
+    def __repr__(self) -> str:
+        return f"Vertex(display_name={self.display_name}, id={self.id}, data={self.data})"
+
+    def __eq__(self, __o: object) -> bool:
+        try:
+            if not isinstance(__o, Vertex):
+                return False
+            # We should create a more robust comparison
+            # for the Vertex class
+            ids_are_equal = self.id == __o.id
+            # self._data is a dict and we need to compare them
+            # to check if they are equal
+            data_are_equal = self.data == __o.data
+            return ids_are_equal and data_are_equal
+        except AttributeError:
+            return False
+
+    def __hash__(self) -> int:
+        return id(self)
+
+    def _built_object_repr(self):
+        # Add a message with an emoji, stars for sucess,
+        return "Built successfully ✨" if self._built_object is not None else "Failed to build 😵‍💫"
diff --git a/src/backend/langflow/graph/vertex/constants.py b/src/backend/base/langflow/graph/vertex/constants.py
similarity index 100%
rename from src/backend/langflow/graph/vertex/constants.py
rename to src/backend/base/langflow/graph/vertex/constants.py
diff --git a/src/backend/base/langflow/graph/vertex/types.py b/src/backend/base/langflow/graph/vertex/types.py
new file mode 100644
index 00000000000..edc849d0ba8
--- /dev/null
+++ b/src/backend/base/langflow/graph/vertex/types.py
@@ -0,0 +1,414 @@
+import json
+from typing import TYPE_CHECKING, Any, AsyncIterator, Dict, Generator, Iterator, List
+
+import yaml
+from langchain_core.messages import AIMessage, AIMessageChunk
+from loguru import logger
+
+from langflow.graph.schema import CHAT_COMPONENTS, RECORDS_COMPONENTS, InterfaceComponentTypes, ResultData
+from langflow.graph.utils import UnbuiltObject, serialize_field
+from langflow.graph.vertex.base import Vertex
+from langflow.schema import Data
+from langflow.schema.artifact import ArtifactType
+from langflow.schema.message import Message
+from langflow.schema.schema import INPUT_FIELD_NAME
+from langflow.services.monitor.utils import log_transaction, log_vertex_build
+from langflow.template.field.base import UNDEFINED
+from langflow.utils.schemas import ChatOutputResponse, DataOutputResponse
+from langflow.utils.util import unescape_string
+
+if TYPE_CHECKING:
+    from langflow.graph.edge.base import ContractEdge
+
+
+class CustomComponentVertex(Vertex):
+    def __init__(self, data: Dict, graph):
+        super().__init__(data, graph=graph, base_type="custom_components")
+
+    def _built_object_repr(self):
+        if self.artifacts and "repr" in self.artifacts:
+            return self.artifacts["repr"] or super()._built_object_repr()
+
+
+class ComponentVertex(Vertex):
+    def __init__(self, data: Dict, graph):
+        super().__init__(data, graph=graph, base_type="component")
+
+    def _built_object_repr(self):
+        if self.artifacts and "repr" in self.artifacts:
+            return self.artifacts["repr"] or super()._built_object_repr()
+
+    def _update_built_object_and_artifacts(self, result):
+        """
+        Updates the built object and its artifacts.
+        """
+        if isinstance(result, tuple):
+            if len(result) == 2:
+                self._built_object, self.artifacts = result
+            elif len(result) == 3:
+                self._custom_component, self._built_object, self.artifacts = result
+                for key in self.artifacts:
+                    self.artifacts_raw[key] = self.artifacts[key].get("raw", None)
+                    self.artifacts_type[key] = self.artifacts[key].get("type", None) or ArtifactType.UNKNOWN.value
+        else:
+            self._built_object = result
+
+        for key, value in self._built_object.items():
+            self.add_result(key, value)
+
+    def get_edge_with_target(self, target_id: str) -> Generator["ContractEdge", None, None]:
+        """
+        Get the edge with the target id.
+
+        Args:
+            target_id: The target id of the edge.
+
+        Returns:
+            The edge with the target id.
+        """
+        for edge in self.edges:
+            if edge.target_id == target_id:
+                yield edge
+
+    async def _get_result(self, requester: "Vertex") -> Any:
+        """
+        Retrieves the result of the built component.
+
+        If the component has not been built yet, a ValueError is raised.
+
+        Returns:
+            The built result if use_result is True, else the built object.
+        """
+        if not self._built:
+            log_transaction(source=self, target=requester, flow_id=self.graph.flow_id, status="error")
+            raise ValueError(f"Component {self.display_name} has not been built yet")
+
+        if requester is None:
+            raise ValueError("Requester Vertex is None")
+
+        edges = self.get_edge_with_target(requester.id)
+        result = UNDEFINED
+        edge = None
+        for edge in edges:
+            if edge is not None and edge.source_handle.name in self.results:
+                result = self.results[edge.source_handle.name]
+                break
+        if result is UNDEFINED:
+            if edge is None:
+                raise ValueError(f"Edge not found between {self.display_name} and {requester.display_name}")
+            elif edge.source_handle.name not in self.results:
+                raise ValueError(f"Result not found for {edge.source_handle.name}. Results: {self.results}")
+            else:
+                raise ValueError(f"Result not found for {edge.source_handle.name}")
+        log_transaction(source=self, target=requester, flow_id=self.graph.flow_id, status="success")
+        return result
+
+    def extract_messages_from_artifacts(self, artifacts: Dict[str, Any]) -> List[dict]:
+        """
+        Extracts messages from the artifacts.
+
+        Args:
+            artifacts (Dict[str, Any]): The artifacts to extract messages from.
+
+        Returns:
+            List[str]: The extracted messages.
+        """
+        messages = []
+        for key in artifacts:
+            artifact = artifacts[key]
+            if any(
+                key not in artifact for key in ["text", "sender", "sender_name", "session_id", "stream_url"]
+            ) and not isinstance(artifact, Message):
+                continue
+            message_dict = artifact if isinstance(artifact, dict) else artifact.model_dump()
+            try:
+                messages.append(
+                    ChatOutputResponse(
+                        message=message_dict["text"],
+                        sender=message_dict.get("sender"),
+                        sender_name=message_dict.get("sender_name"),
+                        session_id=message_dict.get("session_id"),
+                        stream_url=message_dict.get("stream_url"),
+                        files=[
+                            {"path": file} if isinstance(file, str) else file for file in message_dict.get("files", [])
+                        ],
+                        component_id=self.id,
+                        type=self.artifacts_type[key],
+                    ).model_dump(exclude_none=True)
+                )
+            except KeyError:
+                pass
+        return messages
+
+    def _finalize_build(self):
+        result_dict = self.get_built_result()
+        # We need to set the artifacts to pass information
+        # to the frontend
+        messages = self.extract_messages_from_artifacts(result_dict)
+        result_dict = ResultData(
+            results=result_dict,
+            artifacts=self.artifacts,
+            outputs=self.outputs_logs,
+            messages=messages,
+            component_display_name=self.display_name,
+            component_id=self.id,
+        )
+        self.set_result(result_dict)
+
+
+class InterfaceVertex(ComponentVertex):
+    def __init__(self, data: Dict, graph):
+        super().__init__(data, graph=graph)
+        self.steps = [self._build, self._run]
+
+    def build_stream_url(self):
+        return f"/api/v1/build/{self.graph.flow_id}/{self.id}/stream"
+
+    def _built_object_repr(self):
+        if self.task_id and self.is_task:
+            if task := self.get_task():
+                return str(task.info)
+            else:
+                return f"Task {self.task_id} is not running"
+        if self.artifacts:
+            # dump as a yaml string
+            if isinstance(self.artifacts, dict):
+                _artifacts = [self.artifacts]
+            elif hasattr(self.artifacts, "data"):
+                _artifacts = self.artifacts.data
+            else:
+                _artifacts = self.artifacts
+            artifacts = []
+            for artifact in _artifacts:
+                # artifacts = {k.title().replace("_", " "): v for k, v in self.artifacts.items() if v is not None}
+                artifact = {k.title().replace("_", " "): v for k, v in artifact.items() if v is not None}
+                artifacts.append(artifact)
+            yaml_str = yaml.dump(artifacts, default_flow_style=False, allow_unicode=True)
+            return yaml_str
+        return super()._built_object_repr()
+
+    def _process_chat_component(self):
+        """
+        Process the chat component and return the message.
+
+        This method processes the chat component by extracting the necessary parameters
+        such as sender, sender_name, and message from the `params` dictionary. It then
+        performs additional operations based on the type of the `_built_object` attribute.
+        If `_built_object` is an instance of `AIMessage`, it creates a `ChatOutputResponse`
+        object using the `from_message` method. If `_built_object` is not an instance of
+        `UnbuiltObject`, it checks the type of `_built_object` and performs specific
+        operations accordingly. If `_built_object` is a dictionary, it converts it into a
+        code block. If `_built_object` is an instance of `Data`, it assigns the `text`
+        attribute to the `message` variable. If `message` is an instance of `AsyncIterator`
+        or `Iterator`, it builds a stream URL and sets `message` to an empty string. If
+        `_built_object` is not a string, it converts it to a string. If `message` is a
+        generator or iterator, it assigns it to the `message` variable. Finally, it creates
+        a `ChatOutputResponse` object using the extracted parameters and assigns it to the
+        `artifacts` attribute. If `artifacts` is not None, it calls the `model_dump` method
+        on it and assigns the result to the `artifacts` attribute. It then returns the
+        `message` variable.
+
+        Returns:
+            str: The processed message.
+        """
+        artifacts = None
+        sender = self.params.get("sender", None)
+        sender_name = self.params.get("sender_name", None)
+        message = self.params.get(INPUT_FIELD_NAME, None)
+        files = [{"path": file} if isinstance(file, str) else file for file in self.params.get("files", [])]
+        if isinstance(message, str):
+            message = unescape_string(message)
+        stream_url = None
+        if "text" in self.results:
+            text_output = self.results["text"]
+        elif "message" in self.results:
+            text_output = self.results["message"].text
+        else:
+            text_output = message
+        if isinstance(text_output, (AIMessage, AIMessageChunk)):
+            artifacts = ChatOutputResponse.from_message(
+                text_output,
+                sender=sender,
+                sender_name=sender_name,
+            )
+        elif not isinstance(text_output, UnbuiltObject):
+            if isinstance(text_output, dict):
+                # Turn the dict into a pleasing to
+                # read JSON inside a code block
+                message = dict_to_codeblock(text_output)
+            elif isinstance(text_output, Data):
+                message = text_output.text
+            elif isinstance(message, (AsyncIterator, Iterator)):
+                stream_url = self.build_stream_url()
+                message = ""
+                self.results["text"] = message
+                self.results["message"].text = message
+                self._built_object = self.results
+            elif not isinstance(text_output, str):
+                message = str(text_output)
+            # if the message is a generator or iterator
+            # it means that it is a stream of messages
+            else:
+                message = text_output
+            artifact_type = ArtifactType.STREAM if stream_url is not None else ArtifactType.OBJECT
+            artifacts = ChatOutputResponse(
+                message=message,
+                sender=sender,
+                sender_name=sender_name,
+                stream_url=stream_url,
+                files=files,
+                type=artifact_type,
+            )
+
+            self.will_stream = stream_url is not None
+        if artifacts:
+            self.artifacts = artifacts.model_dump(exclude_none=True)
+
+        return message
+
+    def _process_data_component(self):
+        """
+        Process the record component of the vertex.
+
+        If the built object is an instance of `Data`, it calls the `model_dump` method
+        and assigns the result to the `artifacts` attribute.
+
+        If the built object is a list, it iterates over each element and checks if it is
+        an instance of `Data`. If it is, it calls the `model_dump` method and appends
+        the result to the `artifacts` list. If it is not, it raises a `ValueError` if the
+        `ignore_errors` parameter is set to `False`, or logs an error message if it is set
+        to `True`.
+
+        Returns:
+            The built object.
+
+        Raises:
+            ValueError: If an element in the list is not an instance of `Data` and
+                `ignore_errors` is set to `False`.
+        """
+        if isinstance(self._built_object, Data):
+            artifacts = [self._built_object.data]
+        elif isinstance(self._built_object, list):
+            artifacts = []
+            ignore_errors = self.params.get("ignore_errors", False)
+            for value in self._built_object:
+                if isinstance(value, Data):
+                    artifacts.append(value.data)
+                elif ignore_errors:
+                    logger.error(f"Data expected, but got {value} of type {type(value)}")
+                else:
+                    raise ValueError(f"Data expected, but got {value} of type {type(value)}")
+        self.artifacts = DataOutputResponse(data=artifacts)
+        return self._built_object
+
+    async def _run(self, *args, **kwargs):
+        if self.is_interface_component:
+            if self.vertex_type in CHAT_COMPONENTS:
+                message = self._process_chat_component()
+            elif self.vertex_type in RECORDS_COMPONENTS:
+                message = self._process_data_component()
+            if isinstance(self._built_object, (AsyncIterator, Iterator)):
+                if self.params.get("return_data", False):
+                    self._built_object = Data(text=message, data=self.artifacts)
+                else:
+                    self._built_object = message
+            self._built_result = self._built_object
+
+        else:
+            await super()._run(*args, **kwargs)
+
+    async def stream(self):
+        iterator = self.params.get(INPUT_FIELD_NAME, None)
+        if not isinstance(iterator, (AsyncIterator, Iterator)):
+            raise ValueError("The message must be an iterator or an async iterator.")
+        is_async = isinstance(iterator, AsyncIterator)
+        complete_message = ""
+        if is_async:
+            async for message in iterator:
+                message = message.content if hasattr(message, "content") else message
+                message = message.text if hasattr(message, "text") else message
+                yield message
+                complete_message += message
+        else:
+            for message in iterator:
+                message = message.content if hasattr(message, "content") else message
+                message = message.text if hasattr(message, "text") else message
+                yield message
+                complete_message += message
+        self.artifacts = ChatOutputResponse(
+            message=complete_message,
+            sender=self.params.get("sender", ""),
+            sender_name=self.params.get("sender_name", ""),
+            files=[{"path": file} if isinstance(file, str) else file for file in self.params.get("files", [])],
+            type=ArtifactType.OBJECT.value,
+        ).model_dump()
+
+        message = Message(
+            text=complete_message,
+            sender=self.params.get("sender", ""),
+            sender_name=self.params.get("sender_name", ""),
+            files=self.params.get("files", []),
+            flow_id=self.graph.flow_id,
+            session_id=self.params.get("session_id", ""),
+        )
+        self.params[INPUT_FIELD_NAME] = complete_message
+        if isinstance(self._built_object, dict):
+            for key, value in self._built_object.items():
+                if hasattr(value, "text") and (isinstance(value.text, (AsyncIterator, Iterator)) or value.text == ""):
+                    self._built_object[key] = message
+        else:
+            self._built_object = message
+            self.artifacts_type = ArtifactType.MESSAGE
+
+        # Update artifacts with the message
+        # and remove the stream_url
+        self._finalize_build()
+        logger.debug(f"Streamed message: {complete_message}")
+        # Set the result in the vertex of origin
+        edges = self.get_edge_with_target(self.id)
+        for edge in edges:
+            origin_vertex = self.graph.get_vertex(edge.source_id)
+            for key, value in origin_vertex.results.items():
+                if isinstance(value, (AsyncIterator, Iterator)):
+                    origin_vertex.results[key] = complete_message
+
+        await log_vertex_build(
+            flow_id=self.graph.flow_id,
+            vertex_id=self.id,
+            valid=True,
+            params=self._built_object_repr(),
+            data=self.result,
+            artifacts=self.artifacts,
+        )
+
+        self._validate_built_object()
+        self._built = True
+
+    async def consume_async_generator(self):
+        async for _ in self.stream():
+            pass
+
+    def _is_chat_input(self):
+        return self.vertex_type == InterfaceComponentTypes.ChatInput and self.is_input
+
+
+class StateVertex(Vertex):
+    def __init__(self, data: Dict, graph):
+        super().__init__(data, graph=graph, base_type="custom_components")
+        self.steps = [self._build]
+        self.is_state = True
+
+    @property
+    def successors_ids(self) -> List[str]:
+        successors = self.graph.successor_map.get(self.id, [])
+        return successors + self.graph.activated_vertices
+
+    def _built_object_repr(self):
+        if self.artifacts and "repr" in self.artifacts:
+            return self.artifacts["repr"] or super()._built_object_repr()
+
+
+def dict_to_codeblock(d: dict) -> str:
+    serialized = {key: serialize_field(val) for key, val in d.items()}
+    json_str = json.dumps(serialized, indent=4)
+    return f"```json\n{json_str}\n```"
diff --git a/src/backend/base/langflow/graph/vertex/utils.py b/src/backend/base/langflow/graph/vertex/utils.py
new file mode 100644
index 00000000000..0f69e4b2d49
--- /dev/null
+++ b/src/backend/base/langflow/graph/vertex/utils.py
@@ -0,0 +1,19 @@
+from typing import TYPE_CHECKING
+
+if TYPE_CHECKING:
+    from langflow.graph.vertex.base import Vertex
+
+
+def build_clean_params(target: "Vertex") -> dict:
+    """
+    Cleans the parameters of the target vertex.
+    """
+    # Removes all keys that the values aren't python types like str, int, bool, etc.
+    params = {
+        key: value for key, value in target.params.items() if isinstance(value, (str, int, bool, float, list, dict))
+    }
+    # if it is a list we need to check if the contents are python types
+    for key, value in params.items():
+        if isinstance(value, list):
+            params[key] = [item for item in value if isinstance(item, (str, int, bool, float, list, dict))]
+    return params
diff --git a/src/backend/base/langflow/helpers/__init__.py b/src/backend/base/langflow/helpers/__init__.py
new file mode 100644
index 00000000000..70c5733f6d1
--- /dev/null
+++ b/src/backend/base/langflow/helpers/__init__.py
@@ -0,0 +1,3 @@
+from .data import data_to_text, docs_to_data, messages_to_text
+
+__all__ = ["docs_to_data", "data_to_text", "messages_to_text"]
diff --git a/src/backend/base/langflow/helpers/custom.py b/src/backend/base/langflow/helpers/custom.py
new file mode 100644
index 00000000000..bdbb128f4c2
--- /dev/null
+++ b/src/backend/base/langflow/helpers/custom.py
@@ -0,0 +1,13 @@
+from typing import Any
+
+
+def format_type(type_: Any) -> str:
+    if type_ == str:
+        type_ = "Text"
+    elif hasattr(type_, "__name__"):
+        type_ = type_.__name__
+    elif hasattr(type_, "__class__"):
+        type_ = type_.__class__.__name__
+    else:
+        type_ = str(type_)
+    return type_
diff --git a/src/backend/base/langflow/helpers/data.py b/src/backend/base/langflow/helpers/data.py
new file mode 100644
index 00000000000..38103707869
--- /dev/null
+++ b/src/backend/base/langflow/helpers/data.py
@@ -0,0 +1,67 @@
+from typing import Union
+
+from langchain_core.documents import Document
+
+from langflow.schema import Data
+from langflow.schema.message import Message
+
+
+def docs_to_data(documents: list[Document]) -> list[Data]:
+    """
+    Converts a list of Documents to a list of Data.
+
+    Args:
+        documents (list[Document]): The list of Documents to convert.
+
+    Returns:
+        list[Data]: The converted list of Data.
+    """
+    return [Data.from_document(document) for document in documents]
+
+
+def data_to_text(template: str, data: Union[Data, list[Data]], sep: str = "\n") -> str:
+    """
+    Converts a list of Data to a list of texts.
+
+    Args:
+        data (list[Data]): The list of Data to convert.
+
+    Returns:
+        list[str]: The converted list of texts.
+    """
+    if isinstance(data, (Data)):
+        data = [data]
+    # Check if there are any format strings in the template
+    _data = []
+    for value in data:
+        # If it is not a record, create one with the key "text"
+        if not isinstance(value, Data):
+            value = Data(text=value)
+        _data.append(value)
+
+    formated_data = [template.format(data=value.data, **value.data) for value in _data]
+    return sep.join(formated_data)
+
+
+def messages_to_text(template: str, messages: Union[Message, list[Message]]) -> str:
+    """
+    Converts a list of Messages to a list of texts.
+
+    Args:
+        messages (list[Message]): The list of Messages to convert.
+
+    Returns:
+        list[str]: The converted list of texts.
+    """
+    if isinstance(messages, (Message)):
+        messages = [messages]
+    # Check if there are any format strings in the template
+    _messages = []
+    for message in messages:
+        # If it is not a message, create one with the key "text"
+        if not isinstance(message, Message):
+            raise ValueError("All elements in the list must be of type Message.")
+        _messages.append(message)
+
+    formated_messages = [template.format(data=message.model_dump(), **message.model_dump()) for message in _messages]
+    return "\n".join(formated_messages)
diff --git a/src/backend/base/langflow/helpers/flow.py b/src/backend/base/langflow/helpers/flow.py
new file mode 100644
index 00000000000..9507ff7be86
--- /dev/null
+++ b/src/backend/base/langflow/helpers/flow.py
@@ -0,0 +1,283 @@
+from typing import TYPE_CHECKING, Any, Awaitable, Callable, List, Optional, Tuple, Type, Union, cast
+from uuid import UUID
+
+from fastapi import Depends, HTTPException
+from pydantic.v1 import BaseModel, Field, create_model
+from sqlmodel import Session, select
+
+from langflow.graph.schema import RunOutputs
+from langflow.schema import Data
+from langflow.schema.schema import INPUT_FIELD_NAME
+from langflow.services.database.models.flow import Flow
+from langflow.services.deps import get_session, get_settings_service, session_scope
+
+if TYPE_CHECKING:
+    from langflow.graph.graph.base import Graph
+    from langflow.graph.vertex.base import Vertex
+
+INPUT_TYPE_MAP = {
+    "ChatInput": {"type_hint": "Optional[str]", "default": '""'},
+    "TextInput": {"type_hint": "Optional[str]", "default": '""'},
+    "JSONInput": {"type_hint": "Optional[dict]", "default": "{}"},
+}
+
+
+def list_flows(*, user_id: Optional[str] = None) -> List[Data]:
+    if not user_id:
+        raise ValueError("Session is invalid")
+    try:
+        with session_scope() as session:
+            flows = session.exec(
+                select(Flow).where(Flow.user_id == user_id).where(Flow.is_component == False)  # noqa
+            ).all()
+
+            flows_data = [flow.to_data() for flow in flows]
+            return flows_data
+    except Exception as e:
+        raise ValueError(f"Error listing flows: {e}")
+
+
+async def load_flow(
+    user_id: str, flow_id: Optional[str] = None, flow_name: Optional[str] = None, tweaks: Optional[dict] = None
+) -> "Graph":
+    from langflow.graph.graph.base import Graph
+    from langflow.processing.process import process_tweaks
+
+    if not flow_id and not flow_name:
+        raise ValueError("Flow ID or Flow Name is required")
+    if not flow_id and flow_name:
+        flow_id = find_flow(flow_name, user_id)
+        if not flow_id:
+            raise ValueError(f"Flow {flow_name} not found")
+
+    with session_scope() as session:
+        graph_data = flow.data if (flow := session.get(Flow, flow_id)) else None
+    if not graph_data:
+        raise ValueError(f"Flow {flow_id} not found")
+    if tweaks:
+        graph_data = process_tweaks(graph_data=graph_data, tweaks=tweaks)
+    graph = Graph.from_payload(graph_data, flow_id=flow_id, user_id=user_id)
+    return graph
+
+
+def find_flow(flow_name: str, user_id: str) -> Optional[str]:
+    with session_scope() as session:
+        flow = session.exec(select(Flow).where(Flow.name == flow_name).where(Flow.user_id == user_id)).first()
+        return flow.id if flow else None
+
+
+async def run_flow(
+    inputs: Optional[Union[dict, List[dict]]] = None,
+    tweaks: Optional[dict] = None,
+    flow_id: Optional[str] = None,
+    flow_name: Optional[str] = None,
+    user_id: Optional[str] = None,
+) -> List[RunOutputs]:
+    if user_id is None:
+        raise ValueError("Session is invalid")
+    graph = await load_flow(user_id, flow_id, flow_name, tweaks)
+
+    if inputs is None:
+        inputs = []
+    if isinstance(inputs, dict):
+        inputs = [inputs]
+    inputs_list = []
+    inputs_components = []
+    types = []
+    for input_dict in inputs:
+        inputs_list.append({INPUT_FIELD_NAME: cast(str, input_dict.get("input_value"))})
+        inputs_components.append(input_dict.get("components", []))
+        types.append(input_dict.get("type", "chat"))
+
+    fallback_to_env_vars = get_settings_service().settings.fallback_to_env_var
+
+    return await graph.arun(
+        inputs_list, inputs_components=inputs_components, types=types, fallback_to_env_vars=fallback_to_env_vars
+    )
+
+
+def generate_function_for_flow(
+    inputs: List["Vertex"], flow_id: str, user_id: str | UUID | None
+) -> Callable[..., Awaitable[Any]]:
+    """
+    Generate a dynamic flow function based on the given inputs and flow ID.
+
+    Args:
+        inputs (List[Vertex]): The list of input vertices for the flow.
+        flow_id (str): The ID of the flow.
+
+    Returns:
+        Coroutine: The dynamic flow function.
+
+    Raises:
+        None
+
+    Example:
+        inputs = [vertex1, vertex2]
+        flow_id = "my_flow"
+        function = generate_function_for_flow(inputs, flow_id)
+        result = function(input1, input2)
+    """
+    # Prepare function arguments with type hints and default values
+    args = [
+        f"{input_.display_name.lower().replace(' ', '_')}: {INPUT_TYPE_MAP[input_.base_name]['type_hint']} = {INPUT_TYPE_MAP[input_.base_name]['default']}"
+        for input_ in inputs
+    ]
+
+    # Maintain original argument names for constructing the tweaks dictionary
+    original_arg_names = [input_.display_name for input_ in inputs]
+
+    # Prepare a Pythonic, valid function argument string
+    func_args = ", ".join(args)
+
+    # Map original argument names to their corresponding Pythonic variable names in the function
+    arg_mappings = ", ".join(
+        f'"{original_name}": {name}'
+        for original_name, name in zip(original_arg_names, [arg.split(":")[0] for arg in args])
+    )
+
+    func_body = f"""
+from typing import Optional
+async def flow_function({func_args}):
+    tweaks = {{ {arg_mappings} }}
+    from langflow.helpers.flow import run_flow
+    from langchain_core.tools import ToolException
+    from langflow.base.flow_processing.utils import build_data_from_result_data, format_flow_output_data
+    try:
+        run_outputs = await run_flow(
+            tweaks={{key: {{'input_value': value}} for key, value in tweaks.items()}},
+            flow_id="{flow_id}",
+            user_id="{user_id}"
+        )
+        if not run_outputs:
+                return []
+        run_output = run_outputs[0]
+
+        data = []
+        if run_output is not None:
+            for output in run_output.outputs:
+                if output:
+                    data.extend(build_data_from_result_data(output, get_final_results_only=True))
+        return format_flow_output_data(data)
+    except Exception as e:
+        raise ToolException(f'Error running flow: ' + e)
+"""
+
+    compiled_func = compile(func_body, "<string>", "exec")
+    local_scope: dict = {}
+    exec(compiled_func, globals(), local_scope)
+    return local_scope["flow_function"]
+
+
+def build_function_and_schema(
+    flow_data: Data, graph: "Graph", user_id: str | UUID | None
+) -> Tuple[Callable[..., Awaitable[Any]], Type[BaseModel]]:
+    """
+    Builds a dynamic function and schema for a given flow.
+
+    Args:
+        flow_data (Data): The flow record containing information about the flow.
+        graph (Graph): The graph representing the flow.
+
+    Returns:
+        Tuple[Callable, BaseModel]: A tuple containing the dynamic function and the schema.
+    """
+    flow_id = flow_data.id
+    inputs = get_flow_inputs(graph)
+    dynamic_flow_function = generate_function_for_flow(inputs, flow_id, user_id=user_id)
+    schema = build_schema_from_inputs(flow_data.name, inputs)
+    return dynamic_flow_function, schema
+
+
+def get_flow_inputs(graph: "Graph") -> List["Vertex"]:
+    """
+    Retrieves the flow inputs from the given graph.
+
+    Args:
+        graph (Graph): The graph object representing the flow.
+
+    Returns:
+        List[Data]: A list of input data, where each record contains the ID, name, and description of the input vertex.
+    """
+    inputs = []
+    for vertex in graph.vertices:
+        if vertex.is_input:
+            inputs.append(vertex)
+    return inputs
+
+
+def build_schema_from_inputs(name: str, inputs: List["Vertex"]) -> Type[BaseModel]:
+    """
+    Builds a schema from the given inputs.
+
+    Args:
+        name (str): The name of the schema.
+        inputs (List[tuple[str, str, str]]): A list of tuples representing the inputs.
+            Each tuple contains three elements: the input name, the input type, and the input description.
+
+    Returns:
+        BaseModel: The schema model.
+
+    """
+    fields = {}
+    for input_ in inputs:
+        field_name = input_.display_name.lower().replace(" ", "_")
+        description = input_.description
+        fields[field_name] = (str, Field(default="", description=description))
+    return create_model(name, **fields)  # type: ignore
+
+
+def get_arg_names(inputs: List["Vertex"]) -> List[dict[str, str]]:
+    """
+    Returns a list of dictionaries containing the component name and its corresponding argument name.
+
+    Args:
+        inputs (List[Vertex]): A list of Vertex objects representing the inputs.
+
+    Returns:
+        List[dict[str, str]]: A list of dictionaries, where each dictionary contains the component name and its argument name.
+    """
+    return [
+        {"component_name": input_.display_name, "arg_name": input_.display_name.lower().replace(" ", "_")}
+        for input_ in inputs
+    ]
+
+
+def get_flow_by_id_or_endpoint_name(
+    flow_id_or_name: str, db: Session = Depends(get_session), user_id: Optional[UUID] = None
+) -> Flow:
+    endpoint_name = None
+    try:
+        flow_id = UUID(flow_id_or_name)
+        flow = db.get(Flow, flow_id)
+    except ValueError:
+        endpoint_name = flow_id_or_name
+        stmt = select(Flow).where(Flow.endpoint_name == endpoint_name)
+        if user_id:
+            stmt = stmt.where(Flow.user_id == user_id)
+        flow = db.exec(stmt).first()
+    if flow is None:
+        raise HTTPException(status_code=404, detail=f"Flow identifier {flow_id_or_name} not found")
+
+    return flow
+
+
+def generate_unique_flow_name(flow_name, user_id, session):
+    original_name = flow_name
+    n = 1
+    while True:
+        # Check if a flow with the given name exists
+        existing_flow = session.exec(
+            select(Flow).where(
+                Flow.name == flow_name,
+                Flow.user_id == user_id,
+            )
+        ).first()
+
+        # If no flow with the given name exists, return the name
+        if not existing_flow:
+            return flow_name
+
+        # If a flow with the name already exists, append (n) to the name and increment n
+        flow_name = f"{original_name} ({n})"
+        n += 1
diff --git a/src/backend/base/langflow/helpers/folders.py b/src/backend/base/langflow/helpers/folders.py
new file mode 100644
index 00000000000..c3d7567b51c
--- /dev/null
+++ b/src/backend/base/langflow/helpers/folders.py
@@ -0,0 +1,23 @@
+from langflow.services.database.models.folder.model import Folder
+from sqlalchemy import select
+
+
+def generate_unique_folder_name(folder_name, user_id, session):
+    original_name = folder_name
+    n = 1
+    while True:
+        # Check if a folder with the given name exists
+        existing_folder = session.exec(
+            select(Folder).where(
+                Folder.name == folder_name,
+                Folder.user_id == user_id,
+            )
+        ).first()
+
+        # If no folder with the given name exists, return the name
+        if not existing_folder:
+            return folder_name
+
+        # If a folder with the name already exists, append (n) to the name and increment n
+        folder_name = f"{original_name} ({n})"
+        n += 1
diff --git a/src/backend/langflow/interface/output_parsers/__init__.py b/src/backend/base/langflow/initial_setup/__init__.py
similarity index 100%
rename from src/backend/langflow/interface/output_parsers/__init__.py
rename to src/backend/base/langflow/initial_setup/__init__.py
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-01.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-01.svg
new file mode 100644
index 00000000000..62f3c1d273f
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-01.svg	
@@ -0,0 +1,102 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F6E1DC;}
+	.st1{fill:#F0AF9B;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#080717;}
+	.st4{fill:none;stroke:#85BAC6;stroke-width:0.4121;stroke-miterlimit:10;}
+	.st5{fill:#F2ECDE;}
+	.st6{fill:#85BAC6;}
+	.st7{fill:#FCDEDE;}
+	.st8{fill:#AAD2DC;}
+	.st9{fill:#F5F5F5;}
+	.st10{fill:#E8EDC5;}
+	.st11{fill:#B9D2D7;}
+	.st12{fill:#FFFFFF;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st13{fill:#CEE1E7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#FDEDE0;}
+	.st17{fill:#C7E1E0;}
+	.st18{fill:#EFCBBF;}
+	.st19{fill:#23285C;}
+	.st20{fill:#010101;}
+	.st21{fill:#C6E0F5;}
+	.st22{fill:#DDD6CC;}
+	.st23{fill:#E0E0E0;}
+	.st24{fill:#F3F3F3;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4658 172.5338)" class="st5" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<path class="st3" d="M307.57,279.87c-6.39-21.62-26.38-37.4-50.06-37.4H91.2c-24.91,0-45.74,17.45-50.94,40.8
+			c31.65,37.77,79.15,61.8,132.28,61.8C227.24,345.07,275.96,319.58,307.57,279.87z"/>
+		<g>
+			<path d="M220.32,213.48c-32.08,0-58.18-26.1-58.18-58.18c0-32.08,26.1-58.18,58.18-58.18c32.08,0,58.18,26.1,58.18,58.18
+				C278.5,187.38,252.4,213.48,220.32,213.48z M220.32,101.39c-29.72,0-53.91,24.18-53.91,53.91c0,29.72,24.18,53.91,53.91,53.91
+				c29.72,0,53.91-24.18,53.91-53.91C274.22,125.58,250.04,101.39,220.32,101.39z"/>
+		</g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -53.7618 202.9503)" class="st3" cx="218.1" cy="166.37" rx="56.04" ry="56.04"/>
+		<g>
+			<path class="st2" d="M185.36,278.29h-45.31c-11.01,0-19.93-8.92-19.93-19.93V125.96c0-11.01,8.92-19.93,19.93-19.93h45.31
+				c11.01,0,19.93,8.92,19.93,19.93v132.39C205.29,269.36,196.37,278.29,185.36,278.29z"/>
+			<path d="M162.7,280.42c-24.66,0-44.72-20.06-44.72-44.72v-87.08c0-24.66,20.06-44.72,44.72-44.72s44.72,20.06,44.72,44.72v87.08
+				C207.43,260.36,187.37,280.42,162.7,280.42z M162.7,108.17c-22.3,0-40.45,18.15-40.45,40.45v87.08
+				c0,22.3,18.15,40.45,40.45,40.45s40.45-18.15,40.45-40.45v-87.08C203.16,126.32,185.01,108.17,162.7,108.17z"/>
+		</g>
+		<g>
+			<path class="st2" d="M175.49,217.3c-9.52,4.84-20.54,6.99-31.94,5.57l0,0c-30.39-3.78-51.97-31.48-48.19-61.88l7.35-59.07
+				c3.78-30.39,31.48-51.97,61.88-48.19h0c30.39,3.78,51.97,31.48,48.19,61.88L175.49,217.3z"/>
+			<path d="M150.47,225.44c-2.39,0-4.78-0.15-7.18-0.45c-31.51-3.92-53.96-32.75-50.04-64.26l7.35-59.07
+				c3.92-31.51,32.74-53.98,64.26-50.04c15.27,1.9,28.88,9.63,38.33,21.76c9.45,12.14,13.61,27.23,11.71,42.5
+				c-0.15,1.17-1.22,2-2.38,1.86c-1.17-0.15-2-1.21-1.86-2.38c3.63-29.17-17.16-55.86-46.33-59.49
+				c-29.17-3.63-55.86,17.16-59.49,46.33l-7.35,59.07c-3.63,29.17,17.16,55.86,46.33,59.49c10.6,1.32,21.22-0.53,30.71-5.36
+				c1.05-0.53,2.34-0.11,2.87,0.94c0.53,1.05,0.11,2.34-0.94,2.87C168.36,223.32,159.49,225.44,150.47,225.44z"/>
+		</g>
+		<path class="st3" d="M102.71,101.93l-0.42,3.39c24.1-0.59,43.46-20.27,43.46-44.51c0-2.05-0.19-4.05-0.45-6.02
+			C123.25,59.87,105.66,78.17,102.71,101.93z"/>
+		<path class="st3" d="M164.59,53.74c-9.59-1.19-18.9,0.15-27.29,3.48c-3.61,7.4-5.69,15.69-5.69,24.47
+			c0,30.95,25.09,56.05,56.04,56.05c7.79,0,15.21-1.6,21.95-4.47l3.17-17.66C216.55,85.22,194.98,57.52,164.59,53.74z"/>
+		<g>
+			<path class="st2" d="M188.07,152.4c1.92-10.84,12.26-18.06,23.09-16.15c10.84,1.92,18.06,12.26,16.15,23.09
+				c-1.92,10.84-12.26,18.06-23.09,16.15L188.07,152.4z"/>
+			<path d="M207.7,177.94c-1.27,0-2.56-0.11-3.86-0.34c-1.16-0.21-1.94-1.31-1.73-2.48c0.21-1.16,1.31-1.93,2.48-1.73
+				c9.66,1.71,18.91-4.76,20.62-14.41c1.71-9.66-4.76-18.91-14.41-20.62c-9.66-1.71-18.91,4.76-20.62,14.41
+				c-0.21,1.16-1.31,1.94-2.48,1.73c-1.16-0.21-1.94-1.31-1.73-2.48c2.12-11.98,13.59-19.99,25.57-17.88
+				c11.98,2.12,20,13.59,17.88,25.57C227.52,170.4,218.19,177.94,207.7,177.94z"/>
+		</g>
+		<g>
+			<path d="M127.3,179.52c-1.13,0-2.08-0.89-2.13-2.03c-0.06-1.18,0.85-2.18,2.03-2.24c4.38-0.21,8.57-2.42,11.23-5.9
+				c0.71-0.94,2.05-1.12,3-0.4c0.94,0.72,1.12,2.06,0.4,3c-3.41,4.47-8.8,7.31-14.43,7.58C127.37,179.52,127.33,179.52,127.3,179.52
+				z"/>
+		</g>
+		<g>
+			<path d="M126.56,161.68c-0.12,0-0.24-0.01-0.36-0.03c-1.16-0.2-1.94-1.3-1.74-2.47l3.57-20.78c0.2-1.16,1.3-1.96,2.47-1.74
+				c1.16,0.2,1.94,1.3,1.75,2.47l-3.57,20.78C128.49,160.94,127.58,161.68,126.56,161.68z"/>
+		</g>
+		<g>
+			<path d="M106.87,142.25c-0.62,0-1.24-0.27-1.67-0.8c-0.74-0.92-0.59-2.26,0.32-3c3.97-3.2,7.62-3.76,12.59-1.93
+				c1.11,0.41,1.68,1.63,1.27,2.74c-0.41,1.11-1.63,1.68-2.74,1.27c-4-1.47-5.98-0.73-8.44,1.24
+				C107.82,142.1,107.34,142.25,106.87,142.25z"/>
+		</g>
+		<g>
+			<path d="M156.9,149.05c-0.74,0-1.45-0.38-1.85-1.06c-1.73-2.97-5.67-4.56-8.96-3.61c-1.14,0.33-2.32-0.33-2.64-1.47
+				c-0.32-1.14,0.33-2.32,1.47-2.64c5.18-1.48,11.13,0.92,13.83,5.58c0.59,1.02,0.25,2.33-0.78,2.92
+				C157.63,148.95,157.26,149.05,156.9,149.05z"/>
+		</g>
+		<g>
+			<path d="M196.73,161.48c-0.26,0-0.52-0.05-0.77-0.15c-1.1-0.43-1.65-1.66-1.22-2.76l0.08-0.22c1.11-2.87,2.25-5.83,4.3-8.37
+				c3.23-4,8.59-4.5,12.22-3.72c3.03,0.66,5.13,2.19,5.62,4.1c0.29,1.14-0.4,2.31-1.54,2.6c-1.14,0.29-2.31-0.4-2.6-1.54
+				c-0.17-0.22-1.64-1.07-3.98-1.19c-1.28-0.07-4.46,0.04-6.39,2.44c-1.63,2.02-2.61,4.55-3.64,7.22l-0.08,0.22
+				C198.4,160.96,197.59,161.48,196.73,161.48z"/>
+		</g>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-02.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-02.svg
new file mode 100644
index 00000000000..6a1e32abc29
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-02.svg	
@@ -0,0 +1,135 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F6E1DC;}
+	.st1{fill:#F0AF9B;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#080717;}
+	.st4{fill:none;stroke:#85BAC6;stroke-width:0.4121;stroke-miterlimit:10;}
+	.st5{fill:#F2ECDE;}
+	.st6{fill:#85BAC6;}
+	.st7{fill:#FCDEDE;}
+	.st8{fill:#AAD2DC;}
+	.st9{fill:#F5F5F5;}
+	.st10{fill:#E8EDC5;}
+	.st11{fill:#B9D2D7;}
+	.st12{fill:#FFFFFF;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st13{fill:#CEE1E7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#FDEDE0;}
+	.st17{fill:#C7E1E0;}
+	.st18{fill:#EFCBBF;}
+	.st19{fill:#23285C;}
+	.st20{fill:#010101;}
+	.st21{fill:#C6E0F5;}
+	.st22{fill:#DDD6CC;}
+	.st23{fill:#E0E0E0;}
+	.st24{fill:#F3F3F3;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4658 172.5338)" class="st0" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<g>
+			<path class="st1" d="M114.97,138.81c-8.59-6.56-16.78-1.86-16.86-1.81l-0.45-0.76c0.09-0.05,8.78-5.07,17.85,1.87L114.97,138.81z
+				"/>
+		</g>
+		<path d="M107.69,144.35c0,1.82-1.47,3.29-3.29,3.29c-1.82,0-3.29-1.47-3.29-3.29c0-1.82,1.47-3.29,3.29-3.29
+			C106.22,141.07,107.69,142.54,107.69,144.35z"/>
+		<g>
+			<path d="M202.91,192.2c0,0,16.44-7.4,18.08-16.44c1.64-9.04-0.82-18.08,3.29-25.48c4.11-7.4,27.53-10.68-10.68-47.66
+				C175.38,65.64,110.87,3.6,107.59,37.7c-3.29,34.1,6.16,47.66,6.57,53.01c0.41,5.34-16.44,43.55-23.83,60.81
+				c-7.4,17.26-6.41,25.52-2.05,36.98c7.44,19.59,29.17,32.87,50.13,42.32C159.36,240.27,197.98,214.8,202.91,192.2z"/>
+			<g>
+				<path class="st2" d="M91.56,147c0,0,13.15-4.93,24.65,3.29c11.5,8.22,20.96,20.96,36.57,20.96c15.61,0,17.67-22.94,17.67-43.55
+					c0-12.33-18.08-21.76-18.08-37.39c0-0.82-3.29,4.93-18.08-3.29c-14.79-8.22-25.48-18.9-25.48-18.9s-6.57,37.8-10.68,45.2
+					c-4.11,7.4-13.15,18.08-13.15,18.08S83.34,139.61,91.56,147z"/>
+				<path d="M152.78,173.38c-12.37,0-20.98-7.37-29.31-14.49c-2.76-2.36-5.61-4.8-8.5-6.86c-10.4-7.43-22.54-3.07-22.67-3.02
+					c-0.75,0.28-1.59,0.12-2.18-0.41c-9.02-8.12-7.32-17.24-7.24-17.62c0.07-0.35,0.23-0.68,0.46-0.96
+					c0.09-0.11,8.95-10.61,12.91-17.74c3.23-5.81,8.63-34.11,10.45-44.53c0.14-0.79,0.7-1.43,1.46-1.67
+					c0.76-0.24,1.59-0.04,2.16,0.52c0.1,0.11,10.66,10.58,25,18.55c4.13,2.29,11.64,5.78,15.57,3.4c0.33-0.2,1.36-0.82,2.49-0.19
+					c0.67,0.38,1.12,1.17,1.12,1.94c0,7.55,4.78,13.71,9.4,19.67c4.47,5.76,8.68,11.2,8.68,17.73
+					C172.59,148.96,170.34,173.38,152.78,173.38z M100.91,143.38c4.87,0,10.86,1.11,16.55,5.17c3.05,2.18,5.97,4.68,8.8,7.1
+					c8.1,6.92,15.74,13.46,26.53,13.46c13.77,0,15.53-22.13,15.53-41.42c0-5.07-3.78-9.94-7.79-15.11
+					c-4.28-5.52-9.07-11.69-10.09-19.31c-4.32,1.04-10.06-0.44-17.18-4.4c-10.47-5.82-18.84-12.76-23.03-16.52
+					c-1.81,9.94-6.75,35.74-10.23,41.99c-3.71,6.68-11.15,15.74-12.98,17.94c-0.15,1.62-0.17,7.02,5.1,12.3
+					C93.81,144.1,96.99,143.38,100.91,143.38z"/>
+			</g>
+			<g>
+				<path class="st3" d="M110.29,73.09c-0.73,0-1.45-0.38-1.84-1.05c-7.35-12.52-10.08-27.88-7.47-42.16
+					c0.21-1.16,1.33-1.92,2.49-1.72c1.16,0.21,1.93,1.33,1.72,2.49c-2.43,13.28,0.11,27.58,6.95,39.23c0.6,1.02,0.26,2.33-0.76,2.93
+					C111.03,72.99,110.66,73.09,110.29,73.09z"/>
+			</g>
+			<g>
+				<path class="st2" d="M114.67,178.11c-2.9,0-5.79-0.63-8.39-1.92c-1.06-0.52-1.49-1.81-0.97-2.86c0.52-1.06,1.81-1.49,2.86-0.97
+					c5.24,2.6,11.99,1.74,16.41-2.1c0.89-0.78,2.24-0.68,3.01,0.21c0.77,0.89,0.68,2.24-0.21,3.01
+					C123.9,176.52,119.28,178.11,114.67,178.11z"/>
+			</g>
+			<g>
+				<path class="st3" d="M198.08,146.4c-1.14,0-2.09-0.9-2.13-2.05c-0.28-6.75,2.61-13.4,7.72-17.8c0.9-0.77,2.25-0.67,3.01,0.23
+					c0.77,0.89,0.67,2.24-0.23,3.01c-4.07,3.5-6.46,9.01-6.24,14.38c0.05,1.18-0.87,2.17-2.05,2.22
+					C198.14,146.4,198.11,146.4,198.08,146.4z"/>
+			</g>
+			<g>
+				<path class="st3" d="M130.09,126.71c-0.91,0-1.75-0.58-2.04-1.49c-0.56-1.76-1.99-3.26-3.91-4.11c-1.93-0.85-4-0.9-5.67-0.13
+					c-1.07,0.49-2.34,0.02-2.83-1.05c-0.49-1.07-0.02-2.34,1.05-2.83c2.79-1.28,6.14-1.25,9.19,0.1c3.05,1.35,5.33,3.8,6.26,6.72
+					c0.36,1.12-0.26,2.33-1.39,2.68C130.52,126.67,130.31,126.71,130.09,126.71z"/>
+			</g>
+			<g>
+				<path class="st3" d="M131.82,106.99c-0.2,0-0.4-0.03-0.59-0.09c-2.81-0.81-5.72-1.17-8.64-1.07c-1.2,0.04-2.17-0.88-2.21-2.06
+					c-0.04-1.18,0.88-2.17,2.06-2.21c3.38-0.11,6.73,0.3,9.97,1.24c1.13,0.33,1.79,1.51,1.46,2.65
+					C133.6,106.38,132.75,106.99,131.82,106.99z"/>
+			</g>
+			<g>
+				<path class="st2" d="M221.25,210.5c-11.76-18.72-17.17-45.44-17.17-45.44s14.9-38.09,9.11-47.19
+					c-5.8-9.11-28.15,13.25-28.15,13.25s12.42,54.64,1.66,72.86c-10.76,18.22-52.99,20.7-52.99,20.7s3.63,7.25,8.02,19.68
+					L221.25,210.5z"/>
+				<path d="M141.72,246.49c-0.88,0-1.7-0.55-2.01-1.43c-4.29-12.14-7.88-19.37-7.92-19.44c-0.32-0.64-0.3-1.4,0.06-2.02
+					c0.36-0.62,1.01-1.02,1.72-1.06c0.41-0.02,41.22-2.63,51.28-19.65c10.21-17.28-1.78-70.76-1.9-71.3
+					c-0.16-0.72,0.05-1.47,0.57-1.98c1.74-1.74,17.33-16.98,26.42-16.01c2.15,0.24,3.89,1.32,5.04,3.12
+					c5.96,9.37-6.34,42.43-8.69,48.52c0.88,4.04,6.31,27.5,16.76,44.13c0.63,1,0.33,2.32-0.67,2.95c-1,0.63-2.32,0.33-2.95-0.67
+					c-11.83-18.83-17.23-45.05-17.46-46.15c-0.08-0.4-0.05-0.82,0.1-1.2c5.61-14.34,13.09-39.3,9.29-45.27
+					c-0.45-0.71-1.04-1.07-1.9-1.17c-5.09-0.57-15.9,7.95-22.11,13.96c1.8,8.29,11.46,55.81,1.15,73.25
+					c-9.57,16.2-41.38,20.51-51.58,21.49c1.46,3.22,3.96,9.07,6.79,17.09c0.39,1.11-0.19,2.33-1.3,2.73
+					C142.2,246.45,141.96,246.49,141.72,246.49z"/>
+			</g>
+		</g>
+		<g>
+			<path d="M105.22,333.58c-0.23,0-0.47-0.04-0.7-0.12c-1.12-0.39-1.71-1.6-1.32-2.72l28.68-83.02c0.2-0.57,0.62-1.02,1.17-1.26
+				l92.59-40.13c0.91-0.39,1.98-0.11,2.57,0.69l11.35,15.3c5.21-1.26,23.1-4.78,36.79,2.61c7.87,4.24,26.99,17.89,34.54,52.92
+				c0.25,1.15-0.49,2.29-1.64,2.54c-1.16,0.24-2.29-0.49-2.54-1.64c-7.17-33.29-25.04-46.1-32.39-50.06
+				c-14.29-7.71-34.82-1.95-35.02-1.89c-0.86,0.25-1.78-0.06-2.31-0.78l-11.2-15.1l-90.17,39.08l-28.37,82.13
+				C106.93,333.02,106.1,333.58,105.22,333.58z"/>
+		</g>
+		<g>
+			<path d="M150.72,283.54c-0.23,0-0.46-0.04-0.69-0.11c-0.63-0.21-1.13-0.71-1.34-1.34l-8.42-24.99l-12.85,18.23
+				c-0.68,0.96-2.01,1.19-2.98,0.52c-0.96-0.68-1.2-2.01-0.52-2.98l15.28-21.67c0.46-0.66,1.26-1,2.05-0.88
+				c0.8,0.12,1.46,0.67,1.72,1.43l8.87,26.33l67.83-45.7c0.98-0.66,2.31-0.4,2.97,0.58c0.66,0.98,0.4,2.31-0.58,2.97l-70.16,47.26
+				C151.56,283.42,151.14,283.54,150.72,283.54z"/>
+		</g>
+		<g>
+			<path d="M216.63,340.89c-0.13,0-0.26-0.01-0.39-0.04c-1.16-0.22-1.93-1.33-1.71-2.49l3.89-20.9c0.22-1.16,1.32-1.93,2.49-1.71
+				c1.16,0.22,1.92,1.33,1.71,2.49l-3.89,20.9C218.54,340.17,217.64,340.89,216.63,340.89z"/>
+		</g>
+		<g>
+			<path d="M132.3,296.96c-3.01,0-5.46-2.45-5.46-5.46c0-3.01,2.45-5.46,5.46-5.46c3.01,0,5.46,2.45,5.46,5.46
+				C137.76,294.51,135.31,296.96,132.3,296.96z M132.3,290.31c-0.65,0-1.19,0.53-1.19,1.19c0,0.65,0.53,1.19,1.19,1.19
+				c0.65,0,1.19-0.53,1.19-1.19C133.49,290.85,132.95,290.31,132.3,290.31z"/>
+		</g>
+		<g>
+			<path d="M122.35,330.36c-3.01,0-5.46-2.45-5.46-5.46c0-3.01,2.45-5.46,5.46-5.46c3.01,0,5.46,2.45,5.46,5.46
+				C127.81,327.91,125.36,330.36,122.35,330.36z M122.35,323.71c-0.65,0-1.19,0.53-1.19,1.19c0,0.65,0.53,1.19,1.19,1.19
+				c0.65,0,1.19-0.53,1.19-1.19C123.54,324.24,123.01,323.71,122.35,323.71z"/>
+		</g>
+		<g>
+			<path d="M105.19,333.57c-0.17,0-0.34-0.02-0.51-0.06c-1.15-0.28-1.85-1.44-1.56-2.59l14.35-58.42c0.28-1.15,1.43-1.85,2.59-1.57
+				c1.15,0.28,1.85,1.44,1.57,2.59l-14.35,58.42C107.03,332.92,106.15,333.57,105.19,333.57z"/>
+		</g>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-03.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-03.svg
new file mode 100644
index 00000000000..df467620596
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-03.svg	
@@ -0,0 +1,126 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F6E1DC;}
+	.st1{fill:#F0AF9B;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#080717;}
+	.st4{fill:none;stroke:#85BAC6;stroke-width:0.4121;stroke-miterlimit:10;}
+	.st5{fill:#F2ECDE;}
+	.st6{fill:#85BAC6;}
+	.st7{fill:#FCDEDE;}
+	.st8{fill:#AAD2DC;}
+	.st9{fill:#F5F5F5;}
+	.st10{fill:#E8EDC5;}
+	.st11{fill:#B9D2D7;}
+	.st12{fill:#FFFFFF;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st13{fill:#CEE1E7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#FDEDE0;}
+	.st17{fill:#C7E1E0;}
+	.st18{fill:#EFCBBF;}
+	.st19{fill:#23285C;}
+	.st20{fill:#010101;}
+	.st21{fill:#C6E0F5;}
+	.st22{fill:#DDD6CC;}
+	.st23{fill:#E0E0E0;}
+	.st24{fill:#F3F3F3;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4658 172.5339)" class="st17" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<path class="st3" d="M297.49,285.69c0-15.71-12.74-28.45-28.45-28.45H77.39c-15.71,0-28.45,12.74-28.45,28.45v7.17
+			c29.28,30.06,69.4,49.5,114.07,51.93h19.05c45.37-2.47,86.05-22.49,115.44-53.37V285.69z"/>
+		<path class="st3" d="M140.94,276.01H88.73c0,0-32.82-55.2,2.98-79.07C127.52,173.07,140.94,276.01,140.94,276.01z"/>
+		<g>
+			<path class="st2" d="M159.7,270.15h-12.83c-4.66,0-33.17-27.53-29.99-30.71v-99.67c0-23.65,19.17-42.82,42.82-42.82l0,0
+				c23.65,0,42.82,19.17,42.82,42.82v87.55C202.52,250.97,183.35,270.15,159.7,270.15z"/>
+			<path d="M159.71,272.28h-12.83c-5.56,0-28.95-22.95-31.9-30.06c-0.63-1.52-0.56-2.61-0.23-3.38v-99.08
+				c0-24.79,20.17-44.96,44.96-44.96c24.79,0,44.96,20.17,44.96,44.96v87.55C204.66,252.11,184.49,272.28,159.71,272.28z
+				 M118.82,240.35c1.2,4.71,23.64,26.85,28.16,27.67l12.73-0.01c22.43,0,40.68-18.25,40.68-40.68v-87.55
+				c0-22.43-18.25-40.68-40.68-40.68c-22.43,0-40.68,18.25-40.68,40.68v99.67C119.02,239.76,118.95,240.07,118.82,240.35z"/>
+		</g>
+		<g>
+			<path class="st2" d="M169.7,199.8c-17.34,13.1-41.52,15.35-61.52,3.8h0c-26.67-15.4-35.81-49.5-20.41-76.17l29.92-51.83
+				c15.4-26.67,49.5-35.81,76.17-20.41v0c26.67,15.4,35.81,49.5,20.41,76.17L169.7,199.8z"/>
+			<path d="M136.08,213.23c-9.96,0-19.95-2.57-28.97-7.78c-13.39-7.73-22.97-20.22-26.97-35.15c-4-14.94-1.95-30.54,5.78-43.93
+				l29.92-51.83c7.73-13.39,20.22-22.97,35.15-26.97c14.94-4,30.54-1.95,43.93,5.78c13.39,7.73,22.97,20.22,26.97,35.15
+				c4,14.94,1.95,30.54-5.78,43.93c-0.59,1.02-1.9,1.37-2.92,0.78c-1.02-0.59-1.37-1.9-0.78-2.92c7.16-12.4,9.06-26.85,5.36-40.69
+				c-3.71-13.83-12.58-25.4-24.98-32.56c-12.4-7.16-26.85-9.06-40.69-5.36c-13.83,3.71-25.4,12.58-32.56,24.98l-29.92,51.83
+				c-7.16,12.4-9.06,26.85-5.36,40.69c3.71,13.83,12.58,25.4,24.98,32.56c18.7,10.8,41.93,9.36,59.16-3.66
+				c0.94-0.71,2.28-0.52,2.99,0.42c0.71,0.94,0.52,2.28-0.42,2.99C160.69,209.28,148.42,213.23,136.08,213.23z"/>
+		</g>
+		<path class="st3" d="M235.62,139.76c6.3-14.3,7.68-29.73,4.79-44.26c-4.26-7.46-10.9-13.15-18.83-15.61
+			c2.43-4.9,3.81-10.5,3.89-16.44c-5.59-6.95-12.48-13.05-20.67-17.78c-35.5-20.5-80.89-8.33-101.38,27.16l-1.79,3.09
+			c4.04,1.94,8.49,3.03,13.19,3.03c9.71,0,18.4-4.63,24.41-11.94c5.89,6.16,13.87,9.96,22.67,9.96c0.2,0,0.4-0.03,0.6-0.03
+			c3.85,9.85,11.65,17.41,21.22,20.37c-2.5,5.05-3.92,10.82-3.92,16.96c0,19.76,14.69,35.78,32.81,35.78
+			C221.57,150.05,229.7,146.12,235.62,139.76z"/>
+		<g>
+			<path class="st2" d="M187.69,146.69c0-17.62,14.28-31.9,31.9-31.9c17.62,0,31.9,14.28,31.9,31.9c0,17.62-14.28,31.9-31.9,31.9
+				c-7.34,0-14.1-2.48-19.49-6.64L187.69,146.69z"/>
+			<path d="M219.59,180.74c-7.6,0-14.79-2.45-20.79-7.09c-0.93-0.72-1.11-2.06-0.39-3c0.72-0.93,2.07-1.1,3-0.38
+				c5.25,4.05,11.53,6.2,18.18,6.2c16.41,0,29.77-13.35,29.77-29.77c0-16.41-13.35-29.77-29.77-29.77
+				c-16.41,0-29.77,13.35-29.77,29.77c0,1.18-0.96,2.14-2.14,2.14c-1.18,0-2.14-0.96-2.14-2.14c0-18.77,15.27-34.04,34.04-34.04
+				c18.77,0,34.04,15.27,34.04,34.04C253.63,165.46,238.36,180.74,219.59,180.74z"/>
+		</g>
+		<path d="M115.39,115c-1.58,3.45-4.88,5.33-7.37,4.19c-2.49-1.14-3.22-4.86-1.63-8.32c1.58-3.45,4.88-5.33,7.37-4.19
+			C116.25,107.82,116.98,111.55,115.39,115z"/>
+		<path d="M147.48,132.62c-1.58,3.45-4.88,5.33-7.37,4.19c-2.49-1.14-3.22-4.86-1.63-8.32c1.58-3.45,4.88-5.33,7.37-4.19
+			C148.33,125.44,149.07,129.17,147.48,132.62z"/>
+		<g>
+			<path d="M116.84,158.29c-2.26,0-4.51-0.39-6.64-1.17c-1.11-0.41-1.68-1.63-1.27-2.74c0.41-1.11,1.64-1.68,2.74-1.27
+				c4.13,1.52,8.89,1.12,12.72-1.07c1.03-0.58,2.33-0.23,2.92,0.79c0.59,1.02,0.23,2.33-0.79,2.92
+				C123.57,157.43,120.21,158.29,116.84,158.29z"/>
+		</g>
+		<g>
+			<path d="M114.15,139.13c-0.39,0-0.79-0.11-1.15-0.34c-0.99-0.64-1.28-1.96-0.65-2.95L123.79,118c0.64-0.99,1.96-1.28,2.95-0.65
+				c0.99,0.64,1.28,1.96,0.65,2.95l-11.43,17.85C115.54,138.79,114.85,139.13,114.15,139.13z"/>
+		</g>
+		<g>
+			<path d="M121.71,99.68c-0.21,0-0.42-0.03-0.63-0.09c-3.17-0.97-6.58-1.24-9.87-0.77c-1.17,0.15-2.25-0.65-2.42-1.81
+				c-0.17-1.17,0.65-2.25,1.81-2.42c3.9-0.55,7.96-0.24,11.73,0.92c1.13,0.35,1.76,1.54,1.42,2.67
+				C123.47,99.09,122.62,99.68,121.71,99.68z"/>
+		</g>
+		<g>
+			<path d="M157.65,123.44c-1.06,0-1.98-0.79-2.12-1.87c-0.44-3.43-3.47-6.45-6.9-6.87c-1.17-0.14-2.01-1.21-1.86-2.38
+				c0.14-1.17,1.21-2,2.38-1.86c5.37,0.66,9.94,5.2,10.62,10.57c0.15,1.17-0.68,2.24-1.85,2.39
+				C157.83,123.44,157.74,123.44,157.65,123.44z"/>
+		</g>
+		<g>
+			<path d="M200.01,155.29c-0.08,0-0.16,0-0.24-0.01c-1.17-0.13-2.02-1.19-1.89-2.36c0.71-6.4,3.19-12.45,7.17-17.5
+				c0.73-0.93,2.07-1.09,3-0.36c0.93,0.73,1.09,2.07,0.36,3c-3.44,4.37-5.67,9.81-6.28,15.33
+				C202,154.48,201.08,155.29,200.01,155.29z"/>
+		</g>
+		<g>
+			<path d="M236.68,84.17c-0.17,0-0.35-0.02-0.53-0.07l-0.94-0.24c-4.98-1.27-10.62-2.71-14.99-1.26c-1.06,0.35-2.22-0.17-2.65-1.21
+				c-0.43-1.03,0.01-2.23,1.01-2.73c4.84-2.44,9.08-6.32,11.93-10.92c0.62-1,1.94-1.32,2.94-0.69c1,0.62,1.32,1.94,0.69,2.94
+				c-1.84,2.98-4.13,5.65-6.76,7.91c3.1,0.34,6.16,1.12,8.88,1.82l0.93,0.24c1.14,0.29,1.84,1.45,1.55,2.6
+				C238.51,83.53,237.64,84.17,236.68,84.17z"/>
+		</g>
+		<path class="st3" d="M132.78,275.67c0,0,69.65-77.77,109.12-73.13c26.54,3.12,39.47,25.54,39.47,53.4
+			C281.37,283.8,134.52,273.93,132.78,275.67z"/>
+		<g>
+			<path class="st2" d="M278.95,263.09H209.2c-1.18,0-2.14-0.96-2.14-2.14c0-1.18,0.96-2.14,2.14-2.14h69.74
+				c1.18,0,2.14,0.96,2.14,2.14C281.08,262.13,280.13,263.09,278.95,263.09z"/>
+		</g>
+		<g>
+			<path class="st2" d="M159.71,313.54c-1.18,0-2.14-0.96-2.14-2.14v-41.26c0-1.18,0.96-2.14,2.14-2.14c1.18,0,2.14,0.96,2.14,2.14
+				v41.26C161.84,312.59,160.89,313.54,159.71,313.54z"/>
+		</g>
+		<g>
+			<path class="st2" d="M123.14,312.06c-1.18,0-2.14-0.96-2.14-2.14v-43.03c0-1.18,0.96-2.14,2.14-2.14c1.18,0,2.14,0.96,2.14,2.14
+				v43.03C125.27,311.1,124.32,312.06,123.14,312.06z"/>
+		</g>
+		<g>
+			<path class="st2" d="M110.52,276.45c-0.34,0-0.69-0.08-1.01-0.26l-28.94-15.58c-1.04-0.56-1.43-1.86-0.87-2.89
+				c0.56-1.04,1.86-1.43,2.89-0.87l28.94,15.58c1.04,0.56,1.43,1.85,0.87,2.89C112.02,276.04,111.28,276.45,110.52,276.45z"/>
+		</g>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-04.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-04.svg
new file mode 100644
index 00000000000..bd4dcdc549f
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-04.svg	
@@ -0,0 +1,132 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.15" style="enable-background:new 0 0 345.07 345.15;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F6E1DC;}
+	.st1{fill:#F0AF9B;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#080717;}
+	.st4{fill:none;stroke:#85BAC6;stroke-width:0.4121;stroke-miterlimit:10;}
+	.st5{fill:#F2ECDE;}
+	.st6{fill:#85BAC6;}
+	.st7{fill:#FCDEDE;}
+	.st8{fill:#AAD2DC;}
+	.st9{fill:#F5F5F5;}
+	.st10{fill:#E8EDC5;}
+	.st11{fill:#B9D2D7;}
+	.st12{fill:#FFFFFF;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st13{fill:#CEE1E7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#FDEDE0;}
+	.st17{fill:#C7E1E0;}
+	.st18{fill:#EFCBBF;}
+	.st19{fill:#23285C;}
+	.st20{fill:#010101;}
+	.st21{fill:#C6E0F5;}
+	.st22{fill:#DDD6CC;}
+	.st23{fill:#E0E0E0;}
+	.st24{fill:#F3F3F3;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4658 172.5337)" class="st7" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<path class="st2" d="M137.52,228.5l-1.12-35.06c-17.26,7.88-29.2,10.91-35.56,9.01c-1-0.3-1.88-0.72-2.61-1.26
+			c-2.21-1.61-2.72-4.1-2.49-5.76c-0.29-11.05-2.95-32.48-11.03-34.98c-7.53-2.33-10.71-4.74-12.06-6.35l-1.39-1.67l1.41-1.66
+			c1.9-2.24,8.38-10.2,11.73-18.47c2.96-7.29,3.34-16.73,3.77-27.66c0.22-5.37,0.44-10.88,0.97-16.79
+			c0.66-7.45,4.31-13.04,10.55-16.19l0.17-0.09l0.18-0.06c2.44-0.8,4.89-1.58,6.69-2.12l0.16-0.05l0.16-0.03
+			c0.46-0.07,0.88-0.14,1.29-0.18l2.85-0.32l0.03,2.86c0.35,31.85,20.1,49.79,32.47,53.62c5.43,1.62,9.78-1.79,14.38-5.4
+			c4.81-3.77,9.77-7.67,16.14-5.77c2,0.6,3.95,1.72,5.98,3.42c3.2,2.69,4.54,7.03,3.78,12.21c-1.22,8.18-8.06,18.83-20.58,24.18
+			c-3.8,1.62-4.28,2.79-4.31,3.22c-0.12,1.65,4.07,4.22,7.76,6.49c4.68,2.88,9.98,6.13,12.74,10.38c4.07,6.25,0.1,12.17-4.5,19.03
+			c-3.88,5.78-8.7,12.96-9.95,22.25c-1,7.49,1.76,14.42,8.21,20.61L137.52,228.5z"/>
+		<g>
+			<path class="st2" d="M173.44,233.03c-15.97,6.49-41.43-7.99-41.43-7.99L173.44,233.03z"/>
+			<path d="M163.91,236.84c-15.26,0-32.08-9.44-32.95-9.94c-1.03-0.58-1.38-1.89-0.8-2.91c0.58-1.02,1.89-1.38,2.91-0.8
+				c0.24,0.14,24.75,13.88,39.57,7.87c1.1-0.45,2.34,0.08,2.78,1.17c0.44,1.09-0.08,2.34-1.17,2.78
+				C171.04,236.31,167.52,236.84,163.91,236.84z"/>
+		</g>
+		<g>
+			<path d="M102.15,332.19c-0.07,0-0.14,0-0.21-0.01c-1.17-0.11-2.04-1.16-1.92-2.33c2.61-27.08,6.56-53.17,7.45-58.14
+				c4.8-26.92,19.14-48.85,24.48-56.29c-3.75,0.03-11.59,1.09-23.36,3.21c-13.28,2.39-25.02,9.13-33.07,18.97
+				c-3.96,4.84-6.59,9.86-7.82,14.91c-2.84,11.66-7.19,31.98-10.34,46.97c-0.24,1.15-1.37,1.89-2.53,1.65
+				c-1.16-0.24-1.89-1.38-1.65-2.53c3.15-15.02,7.52-35.39,10.37-47.11c1.38-5.68,4.3-11.26,8.67-16.6
+				c8.69-10.63,21.34-17.9,35.62-20.47c22.01-3.97,27.1-3.78,29.19-1.99c0.87,0.75,1,2.05,0.28,2.95c-0.2,0.25-20,25.55-25.62,57.08
+				c-0.88,4.93-4.8,30.85-7.4,57.8C104.17,331.36,103.24,332.19,102.15,332.19z"/>
+		</g>
+		<g>
+			<path d="M144.74,344.94c-1.09,0-2.02-0.83-2.13-1.94c-1.02-11.1-1.1-21.3-0.25-30.3c6.5-68.54,45.13-98.13,46.77-99.35
+				c0.5-0.37,1.14-0.51,1.75-0.37c67.36,15.1,68.43,16,68.95,16.44c10.38,8.79,34.51,32.97,34.4,67.45c0,1.18-0.96,2.13-2.14,2.13
+				c0,0,0,0-0.01,0c-1.18,0-2.13-0.96-2.13-2.14c0.1-32.43-22.6-55.41-32.65-63.98c-3.8-1.31-41.1-9.84-66.35-15.51
+				c-5.41,4.49-38.51,34.35-44.33,95.73c-0.83,8.75-0.74,18.68,0.25,29.51c0.11,1.18-0.76,2.22-1.93,2.32
+				C144.87,344.94,144.8,344.94,144.74,344.94z"/>
+		</g>
+		<g>
+			<path class="st3" d="M159.58,141.55c-0.99,0-1.87-0.69-2.09-1.69c-1.24-5.8,2.79-10.86,6.89-15.05
+				c1.45-1.48,5.87-5.97,10.58-3.91c1.08,0.47,1.58,1.73,1.1,2.81c-0.47,1.08-1.74,1.57-2.81,1.1c-1.35-0.59-3.3,0.42-5.82,2.99
+				c-3.47,3.54-6.57,7.35-5.76,11.16c0.25,1.15-0.49,2.29-1.64,2.54C159.87,141.53,159.72,141.55,159.58,141.55z"/>
+		</g>
+		<g>
+			<path class="st8" d="M79.44,135.99c-0.05,0-0.1,0-0.15,0c-5.37-0.18-7.49-9.88-7.19-18.82c0.16-4.62,0.93-8.97,2.19-12.25
+				c1.96-5.1,4.46-6.09,6.24-6.05c5.37,0.18,7.49,9.88,7.19,18.82c-0.16,4.62-0.93,8.97-2.19,12.25
+				C83.64,134.91,81.2,135.99,79.44,135.99z M80.38,103.14c-0.94,0.21-3.69,4.89-4,14.17c-0.31,9.28,2.11,14.13,3.08,14.41
+				c0.94-0.21,3.69-4.89,4-14.17C83.77,108.27,81.35,103.42,80.38,103.14z"/>
+		</g>
+		<g>
+			<path d="M105.07,203.78c-3.19,0-5.66-0.65-7.41-1.95c-2.62-1.96-2.99-4.85-2.78-6.44c-0.33-12.13-3.44-31.97-10.43-34.13
+				c-11.38-3.52-13.19-7.34-13.47-8.43c-0.18-0.69,0-1.43,0.47-1.96c0.08-0.09,8.31-9.41,12.16-18.9c2.9-7.15,3.28-16.53,3.71-27.38
+				c0.21-5.35,0.44-10.88,0.97-16.82c1.44-16.1,15.85-19.87,23.24-19.64c1.18,0.04,2.1,1.03,2.06,2.21
+				c-0.04,1.18-0.98,2.12-2.2,2.06c-0.73-0.02-17.41-0.32-18.84,15.75c-0.52,5.84-0.74,11.32-0.95,16.62
+				c-0.45,11.25-0.84,20.98-4.02,28.82c-3.3,8.12-9.33,15.84-11.82,18.84c1.06,0.96,3.73,2.83,9.96,4.75
+				c12.24,3.79,13.36,34.78,13.45,38.3c0,0.15-0.01,0.31-0.04,0.46c-0.02,0.12-0.2,1.55,1.14,2.51c2.52,1.81,12.36,3.93,49.29-15.28
+				c1.05-0.55,2.34-0.14,2.88,0.91c0.54,1.05,0.14,2.34-0.91,2.88C130,198.15,114.44,203.78,105.07,203.78z"/>
+		</g>
+		<g>
+			<path class="st8" d="M102,143.64c-0.05,0-0.11,0-0.16,0c-2.04-0.07-4.89-1.47-6.82-7.73c-1.29-4.17-1.89-9.64-1.7-15.39
+				c0.38-11.24,3.89-22.5,9.89-22.5c0.05,0,0.11,0,0.16,0c6.1,0.21,8.9,11.79,8.52,23.13C111.52,132.37,108,143.64,102,143.64z
+				 M103.21,102.28c-1.51,0-5.21,6.19-5.62,18.37c-0.18,5.29,0.36,10.26,1.51,13.99c1.05,3.4,2.32,4.7,2.88,4.72
+				c0.01,0,0.01,0,0.02,0c1.51,0,5.21-6.19,5.62-18.37c0.41-12.23-2.89-18.66-4.39-18.71C103.23,102.28,103.22,102.28,103.21,102.28
+				z"/>
+		</g>
+		<path d="M185.31,245.52c0,0-24.2-10.01-21.47-30.37c2.73-20.35,21.45-29.95,14.65-40.4c-6.8-10.45-31.17-15.35-15.62-21.99
+			c17.76-7.58,24.91-27.12,16.48-34.2c-15.04-12.65-22.33,12.24-36.05,7.99c-27.32-8.46-33.77-44.69-33.37-56.58
+			c0.01-0.38-10.46,3.1-10.46,3.1s-0.41-21.87,10.66-20.73c11.08,1.14,6.62,8.27,28.71,1.35c22.08-6.92,48.57-10.46,62.75,3.64
+			c26.34,26.19-3.97,61.2,24.16,68.28c28.13,7.08,41.23-6.28,39.25,18.57c-1.99,24.85,20.69,34.43,33.09,30.63
+			C310.49,171.01,185.31,245.52,185.31,245.52z"/>
+		<g>
+			<path class="st8" d="M94.93,119.52c-0.12,0-0.24-0.01-0.36-0.03l-9.53-1.6c-1.16-0.2-1.95-1.3-1.75-2.46
+				c0.2-1.16,1.29-1.95,2.46-1.75l9.53,1.6c1.16,0.2,1.95,1.3,1.75,2.46C96.86,118.78,95.96,119.52,94.93,119.52z"/>
+		</g>
+		<g>
+			<path class="st3" d="M122.8,168.43c-0.76,0-1.5-0.41-1.88-1.12c-0.56-1.04-0.17-2.34,0.87-2.89c3.06-1.65,5.01-5.21,4.74-8.68
+				c-0.09-1.18,0.79-2.2,1.96-2.3c1.16-0.09,2.2,0.79,2.3,1.96c0.4,5.18-2.4,10.31-6.97,12.77
+				C123.48,168.35,123.14,168.43,122.8,168.43z"/>
+		</g>
+		<g>
+			<path class="st2" d="M137.73,224.58l-0.04-32L137.73,224.58z"/>
+			<path d="M137.73,226.72c-1.18,0-2.14-0.95-2.14-2.13l-0.04-32c0-1.18,0.95-2.14,2.13-2.14c0,0,0,0,0,0
+				c1.18,0,2.14,0.95,2.14,2.13l0.04,32C139.86,225.76,138.91,226.72,137.73,226.72C137.73,226.72,137.73,226.72,137.73,226.72z"/>
+		</g>
+		<g>
+			<path d="M158.36,345.15c-0.1,0-0.21-0.01-0.31-0.02c-1.17-0.17-1.98-1.26-1.81-2.42c2.78-19.04,12.54-40.82,15.14-46.4l-7.64-8.3
+				c-0.48-0.52-0.67-1.24-0.51-1.93c0.16-0.69,0.65-1.25,1.31-1.51l13.87-5.34l33.07-60.22c0.57-1.04,1.86-1.41,2.9-0.84
+				c1.03,0.57,1.41,1.87,0.84,2.9l-33.45,60.9c-0.24,0.44-0.63,0.78-1.11,0.96l-11.67,4.49l6.48,7.05c0.59,0.65,0.73,1.59,0.35,2.38
+				c-0.12,0.25-12.33,25.56-15.38,46.46C160.32,344.39,159.41,345.15,158.36,345.15z"/>
+		</g>
+		<g>
+			<path d="M211.42,341.96c-0.01,0-0.01,0-0.02,0c-1.18-0.01-2.13-0.98-2.12-2.16l0.31-32.44c0.01-1.17,0.97-2.12,2.14-2.12
+				c0.01,0,0.01,0,0.02,0c1.18,0.01,2.13,0.98,2.12,2.16l-0.31,32.44C213.54,341.01,212.59,341.96,211.42,341.96z"/>
+		</g>
+		<g>
+			<path d="M90.86,323.48c-0.97,0-1.85-0.66-2.08-1.65c-2.04-8.66-3.55-21.35-4.45-28.93c-0.35-2.91-0.7-5.93-0.84-6.47
+				c-0.4-1.21-1.16-3.46,10.53-10.66l-11.3-6.22c-0.96-0.53-1.36-1.69-0.94-2.69c5.84-14.02,31.12-50.71,32.19-52.26
+				c0.67-0.97,2-1.21,2.97-0.55c0.97,0.67,1.22,2,0.55,2.97c-0.25,0.36-24.06,34.92-30.99,49.73l12.84,7.07
+				c0.68,0.37,1.1,1.08,1.11,1.85c0.01,0.77-0.4,1.49-1.06,1.87c-4.88,2.84-10.5,6.68-11.67,8.25c0.19,0.98,0.41,2.86,0.86,6.6
+				c0.89,7.49,2.38,20.02,4.36,28.45c0.27,1.15-0.44,2.3-1.59,2.57C91.18,323.46,91.02,323.48,90.86,323.48z"/>
+		</g>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-05.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-05.svg
new file mode 100644
index 00000000000..22fdcd4544f
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-05.svg	
@@ -0,0 +1,151 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F6E1DC;}
+	.st1{fill:#F0AF9B;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#080717;}
+	.st4{fill:none;stroke:#85BAC6;stroke-width:0.4121;stroke-miterlimit:10;}
+	.st5{fill:#F2ECDE;}
+	.st6{fill:#85BAC6;}
+	.st7{fill:#FCDEDE;}
+	.st8{fill:#AAD2DC;}
+	.st9{fill:#F5F5F5;}
+	.st10{fill:#E8EDC5;}
+	.st11{fill:#B9D2D7;}
+	.st12{fill:#FFFFFF;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st13{fill:#CEE1E7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#FDEDE0;}
+	.st17{fill:#C7E1E0;}
+	.st18{fill:#EFCBBF;}
+	.st19{fill:#23285C;}
+	.st20{fill:#010101;}
+	.st21{fill:#C6E0F5;}
+	.st22{fill:#DDD6CC;}
+	.st23{fill:#E0E0E0;}
+	.st24{fill:#F3F3F3;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4658 172.5337)" class="st9" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4658 172.5337)" class="st10" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<g>
+			<path d="M287.82,303c-0.81,0-1.58-0.46-1.94-1.24c-4.73-10.2-9.58-16.56-15.89-23.52c-6.89-7.6-25.94-14.5-53.65-19.43
+				c-0.86-0.16-1.71-0.3-2.54-0.44c-0.44,0.39-0.9,0.76-1.37,1.12c-0.42,0.32-0.82,0.63-1.24,0.92c-2.78,2.03-5.8,3.77-8.72,5.46
+				c-9,5.19-16.49,8.19-23.76,9.57c-15.85,3.02-32.44-0.35-45.51-9.23c-2.89-1.95-5.46-4.1-7.63-6.39
+				c-0.73-0.77-1.37-1.52-1.96-2.25c-6.95,0.41-45.73,2.89-63.12,7.04c-7.31,1.75-14.69,7.08-21.93,15.86
+				c-0.75,0.91-2.1,1.04-3.01,0.29c-0.91-0.75-1.04-2.1-0.29-3.01c7.85-9.51,16-15.33,24.23-17.29c19.87-4.75,64.63-7.21,65.04-7.22
+				c0.69-0.03,1.37,0.3,1.79,0.86c0.68,0.91,1.45,1.82,2.35,2.79c1.95,2.05,4.28,4,6.92,5.78c12.15,8.25,27.57,11.37,42.32,8.56
+				c6.78-1.28,13.85-4.13,22.24-8.97c3-1.74,5.91-3.42,8.53-5.33c0.39-0.28,0.76-0.56,1.12-0.84c0.63-0.49,1.25-1.01,1.84-1.57
+				c0.49-0.46,1.16-0.67,1.82-0.56c1.16,0.19,2.38,0.4,3.61,0.62c20.25,3.61,46.43,10.14,56.06,20.77
+				c6.57,7.25,11.64,13.9,16.6,24.59c0.5,1.07,0.03,2.34-1.04,2.84C288.43,302.94,288.13,303,287.82,303z"/>
+		</g>
+		<g>
+			<path d="M278.87,131.15c0.88-4.97-0.24-9.99-3.13-14.12c-2.28-3.26-5.47-5.62-9.15-6.92c0.63-0.67,1.26-1.34,1.8-2.1
+				c2.9-4.14,4.01-9.15,3.13-14.12c-1.6-9.05-9.42-15.62-18.6-15.62c-0.04,0-0.09,0.01-0.13,0.01c2.27-5.29,2.17-11.53-0.92-16.9
+				c-3.37-5.83-9.64-9.45-16.38-9.45c-2.24,0-4.45,0.44-6.55,1.21c0.05-0.91,0.11-1.83,0.03-2.75c-0.44-5.03-2.81-9.59-6.68-12.83
+				c-3.4-2.85-7.71-4.42-12.14-4.42c-4.54,0-8.82,1.68-12.21,4.57c-1.65-5.55-5.75-10.29-11.6-12.42c-2.09-0.76-4.26-1.15-6.47-1.15
+				c-6.84,0-13.09,3.75-16.41,9.56c-3.45-4.62-8.91-7.66-15.1-7.66c-9.34,0-17.06,6.82-18.58,15.73c-3.02-2-6.61-3.16-10.38-3.16
+				c-2.2,0-4.38,0.39-6.46,1.14c-4.74,1.73-8.53,5.2-10.67,9.77c-1.67,3.59-2.13,7.52-1.43,11.33c-1.42-0.33-2.87-0.53-4.36-0.53
+				c-4.43,0-8.74,1.57-12.14,4.42c-3.87,3.25-6.24,7.8-6.68,12.83c-0.35,3.94,0.57,7.79,2.52,11.13c-5.88,0.7-11.18,4.12-14.17,9.3
+				c-2.52,4.37-3.2,9.47-1.89,14.34c1.03,3.84,3.21,7.14,6.21,9.62c-5.2,2.61-9.09,7.5-10.16,13.57c-0.88,4.97,0.24,9.99,3.13,14.12
+				c2.28,3.26,5.47,5.62,9.15,6.92c-3.96,4.2-6.01,10.11-4.93,16.22c1.6,9.05,9.41,15.62,18.59,15.62c0.04,0,0.09-0.01,0.13-0.01
+				c-2.27,5.29-2.17,11.53,0.92,16.9c3.37,5.83,9.65,9.45,16.38,9.45c2.24,0,4.45-0.43,6.55-1.21c-0.05,0.91-0.11,1.83-0.03,2.75
+				c0.44,5.03,2.81,9.59,6.68,12.83c3.4,2.85,7.71,4.42,12.14,4.42c4.54,0,8.82-1.68,12.21-4.57c1.65,5.55,5.75,10.29,11.6,12.42
+				c2.08,0.76,4.26,1.14,6.46,1.14c6.84,0,13.09-3.75,16.41-9.56c3.45,4.62,8.91,7.66,15.1,7.66c9.34,0,17.06-6.82,18.58-15.73
+				c3.02,2,6.61,3.16,10.38,3.16c2.21,0,4.38-0.38,6.47-1.14c4.74-1.73,8.53-5.2,10.66-9.77c1.67-3.59,2.13-7.52,1.43-11.33
+				c1.42,0.34,2.87,0.53,4.36,0.53c4.43,0,8.74-1.57,12.14-4.42c7.14-5.99,8.68-16.16,4.14-23.96c5.88-0.69,11.19-4.11,14.18-9.31
+				c2.53-4.37,3.2-9.46,1.89-14.34c-1.03-3.84-3.21-7.14-6.22-9.62C273.9,142.11,277.8,137.22,278.87,131.15z"/>
+			<g>
+				<g>
+					<path class="st2" d="M186.51,254.74c0.16-1.14,0.28-2.29,0.28-3.47v-88.51c0-13.43-10.87-24.32-24.3-24.35
+						c-13.42,0.03-24.3,10.92-24.3,24.35v88.51c0,0.95-0.05,2.98,0.06,3.91c-7.81,0.6-14.11,1.03-15.89,1.58
+						c-0.25,0.08-0.33,0.37-0.17,0.57c1.43,1.79,6.81,7.25,9.2,9.16c12.7,10.17,28.88,13.87,43.92,10.49
+						c8.17-1.83,15.74-6.01,22.9-10.88c2.95-2.02,5.96-4.06,8.72-6.43c0.4-0.33,0.78-0.68,1.16-1.03c0.25-0.23,0.47-0.48,0.71-0.71
+						C201.93,256.59,194.43,255.53,186.51,254.74z"/>
+					<path d="M164.19,280.34c-12.18,0-24.18-4.21-34.15-12.2c-2.46-1.96-7.95-7.5-9.54-9.49c-0.52-0.65-0.68-1.51-0.44-2.3
+						c0.24-0.79,0.86-1.4,1.65-1.64c1.73-0.53,5.93-0.87,13.81-1.47l0.5-0.04c0-0.38,0-0.79,0.01-1.21l0.01-0.72v-88.51
+						c0-14.57,11.86-26.45,26.43-26.49c14.58,0.03,26.44,11.92,26.44,26.49v88.51c0,0.51-0.02,1.03-0.06,1.57
+						c7.24,0.77,14.08,1.77,20.34,2.99c0.78,0.15,1.41,0.72,1.64,1.48c0.23,0.76,0.02,1.59-0.55,2.14l-0.25,0.25
+						c-0.16,0.17-0.33,0.34-0.5,0.5c-0.42,0.38-0.82,0.74-1.23,1.09c-2.79,2.4-5.82,4.47-8.74,6.46
+						c-8.99,6.12-16.51,9.67-23.8,11.31C171.93,279.92,168.05,280.34,164.19,280.34z M125.96,258.33c2.13,2.24,5.14,5.19,6.75,6.47
+						c12.11,9.7,27.46,13.37,42.12,10.08c6.75-1.51,13.8-4.87,22.17-10.56c2.45-1.67,4.86-3.31,7.09-5.09
+						c-5.56-0.95-11.53-1.75-17.79-2.36c-0.58-0.06-1.11-0.35-1.47-0.81c-0.36-0.46-0.52-1.04-0.43-1.62
+						c0.17-1.22,0.25-2.22,0.25-3.17v-88.51c0-12.22-9.94-22.19-22.17-22.21c-12.21,0.03-22.16,9.99-22.16,22.21l-0.01,89.28
+						c-0.01,0.86-0.02,2.3,0.05,2.9c0.07,0.58-0.11,1.16-0.47,1.6c-0.37,0.45-0.91,0.73-1.48,0.77l-2.55,0.2
+						C132.1,257.79,128.46,258.06,125.96,258.33z"/>
+				</g>
+				<g>
+					<path class="st2" d="M162.43,138.4c0.02,0,0.04,0,0.06,0c0.02,0,0.04,0,0.06,0H162.43z"/>
+					<path d="M162.54,140.54c-0.07-0.03-0.25,0-0.32-0.01c-1.18,0-2.03-0.95-2.03-2.13c0-1.18,1.06-2.13,2.24-2.13h0.11
+						c1.18,0,2.14,0.96,2.14,2.14C164.68,139.58,163.72,140.54,162.54,140.54z"/>
+				</g>
+			</g>
+			<g>
+				<path class="st2" d="M124.37,151.59c3.03,11.15,0.74,21.48-5.11,23.07c-5.85,1.59-13.05-6.17-16.08-17.32
+					c-3.03-11.15-0.74-21.48,5.11-23.07C114.15,132.68,121.35,140.44,124.37,151.59z"/>
+				<path d="M117.72,177c-6.55,0-13.54-7.83-16.6-19.1c-1.55-5.72-1.84-11.46-0.8-16.15c1.15-5.17,3.78-8.56,7.41-9.55
+					c3.64-0.98,7.62,0.61,11.22,4.49c3.27,3.52,5.92,8.61,7.48,14.33l0,0c3.39,12.48,0.48,23.77-6.62,25.69
+					C119.13,176.91,118.43,177,117.72,177z M109.84,136.21c-0.34,0-0.67,0.04-0.99,0.13c-2,0.54-3.59,2.86-4.36,6.35
+					c-0.89,4.03-0.63,9.03,0.75,14.1c2.9,10.69,9.42,16.91,13.46,15.82c4.04-1.1,6.51-9.76,3.61-20.45l0,0
+					c-1.38-5.07-3.68-9.52-6.48-12.54C113.78,137.4,111.66,136.21,109.84,136.21z"/>
+			</g>
+			<g>
+				<path class="st2" d="M198.2,151.59c-3.03,11.15-0.74,21.48,5.11,23.07c5.85,1.59,13.05-6.17,16.08-17.32
+					c3.03-11.15,0.74-21.48-5.11-23.07C208.42,132.68,201.23,140.44,198.2,151.59z"/>
+				<path d="M204.85,177c-0.71,0-1.41-0.09-2.1-0.28c-7.1-1.93-10.01-13.21-6.62-25.7l0,0c1.55-5.72,4.21-10.81,7.48-14.33
+					c3.6-3.88,7.59-5.48,11.22-4.49c3.63,0.99,6.27,4.38,7.41,9.55c1.04,4.69,0.76,10.42-0.8,16.15
+					C218.39,169.17,211.4,177,204.85,177z M200.26,152.15c-2.9,10.69-0.42,19.35,3.61,20.45c4.04,1.09,10.56-5.13,13.46-15.82
+					c1.38-5.07,1.64-10.07,0.75-14.1c-0.77-3.49-2.36-5.81-4.36-6.35c-2-0.55-4.54,0.65-6.97,3.27
+					C203.94,142.63,201.64,147.08,200.26,152.15L200.26,152.15z"/>
+			</g>
+			<g>
+				<path class="st2" d="M161.42,234.44L161.42,234.44c-25.27,0-45.75-29.68-45.75-54.94v-54.3c0-25.27,29-11.01,45.75-45.75h0
+					c7.7,25.58,45.75,20.48,45.75,45.75v54.3C207.17,204.76,186.69,234.44,161.42,234.44z"/>
+				<path d="M161.42,236.57c-12.45,0-24.54-6.68-34.03-18.82c-8.68-11.08-13.85-25.39-13.85-38.26v-54.3
+					c0-13.76,8-17.13,17.26-21.02c9.13-3.84,20.49-8.61,28.7-25.66c0.38-0.79,1.23-1.27,2.09-1.2c0.88,0.07,1.62,0.67,1.88,1.51
+					c3.44,11.42,13.64,16.36,23.5,21.13c10.98,5.31,22.34,10.81,22.34,25.24v54.3c0,12.88-5.18,27.18-13.85,38.26
+					C185.96,229.89,173.87,236.57,161.42,236.57z M161.15,84.55c-8.65,15.13-19.69,19.77-28.7,23.56
+					c-8.82,3.71-14.65,6.16-14.65,17.08v54.3c0,23.92,19.46,52.81,43.62,52.81c24.16,0,43.62-28.89,43.62-52.81v-54.3
+					c0-11.75-9.23-16.22-19.93-21.39C176.15,99.47,166.14,94.63,161.15,84.55z"/>
+			</g>
+			<path d="M131.83,153.43c1.2,3.06,3.96,4.85,6.17,3.99c2.21-0.86,3.02-4.05,1.82-7.11c-1.2-3.06-3.96-4.85-6.17-3.99
+				C131.44,147.18,130.63,150.37,131.83,153.43z"/>
+			<g>
+				<path d="M146.93,143.82c-0.46,0-0.92-0.15-1.31-0.45c-2.05-1.58-4.89-2.58-8-2.8c-3.78-0.27-7.37,0.67-9.59,2.52
+					c-0.91,0.75-2.26,0.63-3.01-0.28c-0.75-0.91-0.63-2.26,0.28-3.01c3.05-2.53,7.77-3.84,12.62-3.49
+					c3.95,0.28,7.61,1.59,10.32,3.68c0.93,0.72,1.1,2.06,0.38,3C148.2,143.54,147.56,143.82,146.93,143.82z"/>
+			</g>
+			<path d="M180.84,153.43c1.2,3.06,3.96,4.85,6.17,3.99c2.21-0.86,3.02-4.05,1.82-7.11c-1.2-3.06-3.96-4.85-6.17-3.99
+				C180.46,147.18,179.64,150.37,180.84,153.43z"/>
+			<g>
+				<path d="M195.94,143.82c-0.46,0-0.92-0.15-1.31-0.45c-2.05-1.58-4.89-2.58-8-2.8c-3.78-0.27-7.37,0.67-9.59,2.52
+					c-0.91,0.75-2.25,0.63-3.01-0.28c-0.75-0.91-0.63-2.26,0.28-3.01c3.05-2.53,7.78-3.84,12.62-3.49
+					c3.95,0.28,7.61,1.59,10.32,3.68c0.93,0.72,1.1,2.06,0.38,3C197.21,143.54,196.57,143.82,195.94,143.82z"/>
+			</g>
+			<g>
+				<path d="M159.01,174.49c-1.32,0-2.64-0.55-3.47-1.53c-1.63-1.92-1.46-4.45-1.36-5.96c0.56-8.52,1.33-17.14,2.28-25.63
+					c0.13-1.17,1.2-2.01,2.36-1.88c1.17,0.13,2.02,1.19,1.88,2.36c-0.95,8.42-1.71,16.98-2.27,25.43c-0.07,1.12-0.11,2.36,0.36,2.91
+					c0.01,0,0.03,0.01,0.06,0.01c0.38-0.86,1.3-1.39,2.27-1.26c1.17,0.17,1.98,1.26,1.81,2.42c-0.21,1.42-1.21,2.52-2.67,2.94
+					C159.86,174.44,159.43,174.49,159.01,174.49z"/>
+			</g>
+			<g>
+				<path d="M168.22,189.02c-1.55,0-3.07-0.27-4.5-0.82c-1.1-0.42-1.65-1.66-1.23-2.76c0.42-1.1,1.66-1.65,2.76-1.23
+					c2.3,0.88,5.04,0.66,7.52-0.6c2.48-1.27,4.27-3.36,4.9-5.75c0.3-1.14,1.47-1.82,2.61-1.52c1.14,0.3,1.82,1.47,1.52,2.61
+					c-0.94,3.56-3.52,6.64-7.09,8.46C172.64,188.48,170.41,189.02,168.22,189.02z"/>
+			</g>
+			<path d="M117.87,135.24c0,0,3.63-29.72,12.95-25.64c9.32,4.08,9.67,12.57,24.17,13.58c14.5,1.02,23.82-4.08,29,1.02
+				c5.18,5.09,14.5,16.3,26.93,8.15c12.43-8.15,13.64-27.68-6.04-37.87c-19.68-10.19-49.2-11.72-65.77-12.74
+				C122.53,80.73,105.44,110.79,117.87,135.24z"/>
+		</g>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-06.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-06.svg
new file mode 100644
index 00000000000..9d45fb848f1
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-06.svg	
@@ -0,0 +1,132 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F6E1DC;}
+	.st1{fill:#F0AF9B;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#080717;}
+	.st4{fill:none;stroke:#85BAC6;stroke-width:0.4121;stroke-miterlimit:10;}
+	.st5{fill:#F2ECDE;}
+	.st6{fill:#85BAC6;}
+	.st7{fill:#FCDEDE;}
+	.st8{fill:#AAD2DC;}
+	.st9{fill:#F5F5F5;}
+	.st10{fill:#E8EDC5;}
+	.st11{fill:#B9D2D7;}
+	.st12{fill:#FFFFFF;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st13{fill:#CEE1E7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#FDEDE0;}
+	.st17{fill:#C7E1E0;}
+	.st18{fill:#EFCBBF;}
+	.st19{fill:#23285C;}
+	.st20{fill:#010101;}
+	.st21{fill:#C6E0F5;}
+	.st22{fill:#DDD6CC;}
+	.st23{fill:#E0E0E0;}
+	.st24{fill:#F3F3F3;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4658 172.5338)" class="st18" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<g>
+			<path d="M176.18,215.26c0,0,33.49,16.43,57.4,10.38c23.92-6.05,66.17-27.67,27.11-89.05c-39.07-61.39-57.4-56.2-78.93-64.84
+				c-21.53-8.65-61.39-36.31-67.77-18.16c-6.38,18.16,4.78,39.77,9.57,48.42C128.34,110.65,176.18,215.26,176.18,215.26z"/>
+			<g>
+				<path class="st2" d="M209.16,247.05c-1.06-0.37-2.12-0.71-3.18-1.05c-2.11-4.49-4.16-9.09-5.88-13.45
+					c-7.18-18.16-10.37-57.06-10.37-57.06s19.67-9.51,26.84-19.02c7.18-9.51,7.28-32.18-6.11-32.86
+					c-11.43-0.58-18.86,15.8-19.93,15.56c-13.29-2.88-6.91-41.5-41.46-44.09c-23.91-1.8-34.28-17.29-34.28-17.29
+					s-23.92,83-23.92,102.89c0,19.89,18.34,22.48,18.34,22.48l6.57,39.16c-4.12,0.62-8.39,1.27-12.34,1.87
+					c-0.06,0.84-0.09,1.69-0.09,2.54c0,26.55,28.94,48.08,64.65,48.08c30.84,0,56.62-16.07,63.07-37.55
+					C225.12,253.64,217.88,250.06,209.16,247.05z"/>
+				<path d="M167.99,296.94c-36.82,0-66.78-22.53-66.78-50.21c0-0.9,0.03-1.8,0.1-2.69c0.07-1,0.82-1.81,1.81-1.96
+					c3.27-0.5,6.76-1.03,10.2-1.54l-5.97-35.6c-4.75-1.23-18.61-6.35-18.61-24.25c0-19.96,23.02-100.08,24-103.48
+					c0.23-0.8,0.9-1.39,1.72-1.52c0.82-0.13,1.64,0.23,2.1,0.92c0.1,0.14,10.16,14.66,32.67,16.35c22.93,1.72,29,18.58,33.43,30.88
+					c2.17,6.03,4.07,11.31,7.26,12.88c0.23-0.32,0.49-0.7,0.74-1.06c3.27-4.76,10.04-14.7,19.91-14.17
+					c4.79,0.24,8.65,2.97,10.85,7.69c3.75,8.04,2.29,21.39-3.14,28.58c-6.38,8.45-21.66,16.64-26.29,19
+					c0.66,7.17,3.89,39.31,10.1,55.02c1.46,3.7,3.29,7.89,5.43,12.48c0.78,0.25,1.56,0.51,2.34,0.78
+					c8.02,2.77,15.52,6.27,22.31,10.39c0.83,0.5,1.22,1.51,0.94,2.44C226.2,280.87,199.42,296.94,167.99,296.94z M105.48,246.03
+					c-0.01,0.23-0.01,0.46-0.01,0.69c0,25.33,28.04,45.94,62.51,45.94c28.36,0,53.46-14.4,60.51-34.46
+					c-6.14-3.59-12.87-6.66-20.03-9.14l0,0c-1.04-0.36-2.09-0.7-3.13-1.03c-0.57-0.18-1.04-0.59-1.29-1.13
+					c-2.35-5-4.35-9.57-5.94-13.57c-7.21-18.24-10.37-56.07-10.51-57.67c-0.07-0.88,0.4-1.71,1.2-2.1
+					c0.19-0.09,19.29-9.4,26.07-18.38c4.52-5.99,5.8-17.53,2.68-24.2c-1.55-3.31-3.97-5.07-7.19-5.23
+					c-7.48-0.37-13.34,8.2-16.17,12.33c-1.63,2.37-2.44,3.55-4.11,3.19c-6.16-1.34-8.6-8.12-11.43-15.98
+					c-4.48-12.45-9.57-26.56-29.73-28.07c-17.97-1.35-28.57-10.05-33.18-14.94c-4.7,16.62-22.73,81.48-22.73,98.4
+					c0,17.73,15.83,20.27,16.51,20.36c0.92,0.13,1.65,0.85,1.8,1.76l6.56,39.16c0.09,0.57-0.04,1.15-0.38,1.61
+					c-0.34,0.46-0.85,0.77-1.41,0.86C112.57,244.96,108.93,245.51,105.48,246.03z"/>
+			</g>
+			<g>
+				<path class="st3" d="M191.53,160.77c-1.14,0-2.09-0.9-2.13-2.06c-0.28-7.36,6.34-14.8,8.37-16.91c2.05-2.12,4.17-4.32,6.5-5.58
+					c1.04-0.57,2.33-0.18,2.9,0.86c0.56,1.04,0.18,2.33-0.86,2.9c-1.75,0.95-3.63,2.9-5.46,4.79c-3.58,3.71-7.35,9.28-7.17,13.78
+					c0.04,1.18-0.88,2.17-2.06,2.22C191.58,160.77,191.56,160.77,191.53,160.77z"/>
+			</g>
+			<g>
+				<path class="st3" d="M144.66,142.77c-5.23,0-10.47-1.97-14.44-5.68c-0.86-0.81-0.91-2.16-0.1-3.02c0.81-0.86,2.16-0.91,3.02-0.1
+					c4.83,4.52,12.03,5.8,17.91,3.19c1.08-0.48,2.34,0.01,2.82,1.09c0.48,1.08-0.01,2.34-1.09,2.82
+					C150.21,142.21,147.44,142.77,144.66,142.77z"/>
+			</g>
+			<g>
+				<path class="st3" d="M112.02,128.17c-4.58,0-9.17-2.24-12.05-6.07c-0.71-0.94-0.52-2.28,0.42-2.99
+					c0.95-0.71,2.29-0.52,2.99,0.42c2.51,3.34,6.8,5.01,10.65,4.15c1.16-0.25,2.29,0.47,2.55,1.62c0.25,1.15-0.47,2.29-1.62,2.55
+					C113.99,128.07,113.01,128.17,112.02,128.17z"/>
+			</g>
+			<g>
+				<path class="st3" d="M149.61,118.25c-0.42,0-0.84-0.12-1.21-0.38c-2.55-1.76-5.48-2.78-8.48-2.95
+					c-1.18-0.07-2.08-1.08-2.01-2.26c0.07-1.18,1.1-2.06,2.26-2.01c3.79,0.22,7.48,1.5,10.67,3.71c0.97,0.67,1.21,2,0.54,2.97
+					C150.95,117.93,150.28,118.25,149.61,118.25z"/>
+			</g>
+			<g>
+				<path class="st3" d="M120.89,109.64c-0.49,0-0.97-0.16-1.38-0.5c-1.47-1.23-6.38-2.94-8.65-2.46c-1.16,0.25-2.29-0.48-2.54-1.63
+					c-0.25-1.15,0.48-2.29,1.63-2.54c3.83-0.84,10.02,1.43,12.32,3.36c0.9,0.76,1.02,2.11,0.26,3.01
+					C122.1,109.38,121.5,109.64,120.89,109.64z"/>
+			</g>
+			<g>
+				<path class="st3" d="M115.05,160.94c-0.14,0-0.29-0.01-0.44-0.05c-3.65-0.77-6.97-2.88-9.34-5.96
+					c-0.56-0.73-0.59-1.73-0.08-2.49c2.11-3.17,6.84-10.81,9.73-16.03c0.57-1.03,1.87-1.4,2.9-0.83c1.03,0.57,1.41,1.87,0.83,2.9
+					c-2.59,4.67-6.62,11.25-9.02,14.96c1.63,1.65,3.7,2.81,5.85,3.27c1.16,0.24,1.9,1.37,1.65,2.53
+					C116.93,160.25,116.04,160.94,115.05,160.94z"/>
+			</g>
+			<g>
+				<path class="st3" d="M125.95,188.07c-1.58,0-3.17-0.27-4.7-0.83c-1.11-0.41-1.68-1.63-1.27-2.74c0.41-1.11,1.64-1.68,2.74-1.27
+					c4.97,1.83,11.12-1.01,13.43-6.2c0.48-1.08,1.75-1.56,2.82-1.09c1.08,0.48,1.56,1.74,1.09,2.82
+					C137.51,184.49,131.75,188.07,125.95,188.07z"/>
+			</g>
+			<g>
+				<path class="st3" d="M120.69,206.71c-4.85,0-9.54-0.63-13.72-1.95c-1.12-0.35-1.75-1.55-1.39-2.68
+					c0.35-1.13,1.56-1.75,2.68-1.39c12.16,3.83,29.11,1.31,40.31-6c0.99-0.65,2.31-0.37,2.96,0.62c0.64,0.99,0.37,2.31-0.62,2.96
+					C142.56,203.71,131.26,206.71,120.69,206.71z"/>
+			</g>
+			<g>
+				<path class="st3" d="M180.96,146.5c-0.43,0-0.87-0.13-1.25-0.4c-3.27-2.36-6.51-5.98-8.17-16.34
+					c-1.46-9.16-6.05-16.66-13.64-22.29c-1.95-1.45-4.86-2.08-7.94-2.75c-5.68-1.23-12.75-2.76-13.38-11.05
+					c-0.09-1.18,0.79-2.2,1.97-2.29c1.19-0.08,2.2,0.79,2.29,1.97c0.37,4.87,3.87,5.86,10.02,7.19c3.39,0.73,6.89,1.49,9.58,3.49
+					c8.52,6.32,13.67,14.75,15.32,25.05c1.33,8.34,3.54,11.45,6.46,13.55c0.96,0.69,1.17,2.03,0.48,2.98
+					C182.28,146.19,181.63,146.5,180.96,146.5z"/>
+			</g>
+			<g>
+				<path class="st6" d="M194.21,197.8c-3.02,0-5.98-0.97-8.53-2.83c-6.84-5.01-8.67-15.1-4.07-22.49
+					c2.52-4.05,6.56-6.66,11.08-7.16c1.15-0.13,2.23,0.72,2.36,1.89c0.13,1.17-0.72,2.23-1.89,2.36c-3.21,0.35-6.1,2.23-7.92,5.17
+					c-3.45,5.54-2.11,13.07,2.96,16.78c2.34,1.71,5.16,2.36,7.92,1.83c2.91-0.56,5.44-2.35,7.11-5.04
+					c3.45-5.54,2.11-13.07-2.96-16.78c-0.95-0.7-1.16-2.03-0.46-2.99c0.7-0.95,2.04-1.16,2.99-0.46c6.84,5.01,8.67,15.1,4.07,22.49
+					c-2.31,3.71-5.83,6.19-9.93,6.98C196.03,197.71,195.12,197.8,194.21,197.8z"/>
+			</g>
+		</g>
+		<g>
+			<path class="st3" d="M24.78,265.22c-0.68,0-1.35-0.33-1.77-0.93c-0.67-0.97-0.42-2.3,0.56-2.97
+				c27.23-18.63,77.71-19.25,79.84-19.27c0.01,0,0.01,0,0.02,0c1.17,0,2.13,0.95,2.14,2.12c0.01,1.18-0.94,2.14-2.12,2.15
+				c-0.51,0-51.32,0.63-77.47,18.52C25.61,265.1,25.19,265.22,24.78,265.22z"/>
+		</g>
+		<g>
+			<path class="st3" d="M296.92,292.22c-0.38,0-0.77-0.1-1.11-0.32c-43.18-26.46-65.08-32.53-65.3-32.59
+				c-1.14-0.31-1.81-1.48-1.51-2.62c0.31-1.14,1.48-1.82,2.61-1.51c0.9,0.24,22.61,6.22,66.42,33.07c1.01,0.62,1.32,1.93,0.71,2.94
+				C298.34,291.86,297.64,292.22,296.92,292.22z"/>
+		</g>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-07.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-07.svg
new file mode 100644
index 00000000000..d9800b2c5c7
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-07.svg	
@@ -0,0 +1,138 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 347.64" style="enable-background:new 0 0 345.07 347.64;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F6E1DC;}
+	.st1{fill:#F0AF9B;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#080717;}
+	.st4{fill:none;stroke:#85BAC6;stroke-width:0.4121;stroke-miterlimit:10;}
+	.st5{fill:#F2ECDE;}
+	.st6{fill:#85BAC6;}
+	.st7{fill:#FCDEDE;}
+	.st8{fill:#AAD2DC;}
+	.st9{fill:#F5F5F5;}
+	.st10{fill:#E8EDC5;}
+	.st11{fill:#B9D2D7;}
+	.st12{fill:#FFFFFF;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st13{fill:#CEE1E7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#FDEDE0;}
+	.st17{fill:#C7E1E0;}
+	.st18{fill:#EFCBBF;}
+	.st19{fill:#23285C;}
+	.st20{fill:#010101;}
+	.st21{fill:#C6E0F5;}
+	.st22{fill:#DDD6CC;}
+	.st23{fill:#E0E0E0;}
+	.st24{fill:#F3F3F3;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4658 172.5338)" class="st13" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<g>
+			<path d="M270.22,121.61c-4.93-2.3-10.02-3.81-15.14-4.61c-2.93-1.92-25.96-2.57-37.24-5.63c-7.57-2.06-12.89-9.31-16.58-15.33
+				c-1.24-2.83-2.86-5.5-4.85-7.91c-4.72-6.29-11.64-9.01-11.64-9.01c-16.74-7.83-36.66-0.6-44.49,16.15
+				c-7.83,16.75-0.6,36.66,16.15,44.49c2.6,1.22,5.28,2.07,7.98,2.58c14.57,4.61,16.84,7.18,20.73,15.04
+				c3.05,6.17,4.91,16.2,5.61,20.53c1.91,19,13.47,36.54,32.02,45.21c28.03,13.1,61.37,1,74.47-27.03
+				C310.36,168.05,298.25,134.71,270.22,121.61z"/>
+			<g>
+				<path class="st2" d="M273.18,221.64c-0.39,0-0.78-0.1-1.13-0.32c-1-0.62-1.31-1.94-0.68-2.94l0.58-0.92
+					c15.2-25.52,7.48-58.42-17.22-73.33c-4.23-2.55-8.8-4.47-13.61-5.71c-0.3-0.08-0.59-0.22-0.83-0.42
+					c-1.09-0.75-7.69-2.09-12.98-3.16c-7.62-1.55-16.25-3.3-21.93-5.47c-7.99-3.06-12.71-11.62-15.56-17.8
+					c-0.04-0.09-0.08-0.18-0.11-0.28c-0.84-2.76-2.04-5.36-3.57-7.74c-3.58-6.14-9.43-9.22-9.49-9.25
+					c-10.06-6.07-24.33-9.6-34.57-1.5c-0.93,0.73-2.27,0.58-3-0.35c-0.73-0.93-0.58-2.27,0.35-3c11.95-9.45,28.14-5.62,39.31,1.13
+					c0.16,0.08,6.9,3.63,11.04,10.75c1.67,2.59,3.03,5.5,3.98,8.59c2.54,5.49,6.66,12.98,13.15,15.47
+					c5.34,2.05,13.79,3.76,21.25,5.27c8.15,1.65,12.49,2.57,14.39,3.73c5.08,1.34,9.91,3.39,14.39,6.1
+					c26.7,16.12,35.08,51.64,18.68,79.18c-0.13,0.22-0.27,0.43-0.4,0.64l-0.22,0.34C274.59,221.28,273.89,221.64,273.18,221.64z"/>
+			</g>
+			<g>
+				<path class="st3" d="M318.95,189.99c-0.23,0-0.47-0.04-0.7-0.12c-1.12-0.38-1.71-1.6-1.32-2.72c5.8-16.79,5.34-34.61-1.29-50.17
+					c-6.6-15.49-18.54-26.88-33.6-32.09c-5.32-1.84-10.91-2.83-16.62-2.96c-0.34-0.01-0.66-0.09-0.96-0.25
+					c-1.39-0.6-9.16-0.34-15.41-0.14c-8.93,0.3-19.05,0.63-25.91-0.35c-9.62-1.38-16.71-10.13-21.2-16.6
+					c-0.06-0.08-0.11-0.17-0.15-0.26c-1.54-3.05-3.45-5.81-5.7-8.2c-5.32-6.24-12.66-8.3-12.73-8.32
+					c-18.32-6.32-38.79,5.01-45.77,25.22c-0.39,1.12-1.6,1.71-2.72,1.32c-1.12-0.39-1.71-1.6-1.32-2.72
+					c7.75-22.44,30.66-34.96,51.07-27.91c0.21,0.05,8.52,2.35,14.66,9.56c2.43,2.58,4.56,5.63,6.26,8.99
+					c4.04,5.8,10.3,13.55,18.21,14.69c6.48,0.93,16.4,0.6,25.16,0.31c9.58-0.32,14.66-0.44,17.01,0.39
+					c6.01,0.17,11.91,1.24,17.52,3.18c16.22,5.6,29.06,17.84,36.14,34.45c7.05,16.54,7.55,35.45,1.4,53.24
+					C320.66,189.43,319.83,189.99,318.95,189.99z"/>
+			</g>
+			<ellipse transform="matrix(0.2312 -0.9729 0.9729 0.2312 -62.1945 216.4094)" cx="105.84" cy="147.56" rx="64.44" ry="64.44"/>
+			<path class="st2" d="M138.7,274.53c-1.18,3.23-42.47-51.51-43.41-52.15l45.44-48.22c0,0,32.75,51.12,41.8,53.38
+				C182.52,227.55,151.31,239.99,138.7,274.53z"/>
+			<g>
+				<path d="M138.7,276.67c-0.67,0-1.33-0.31-1.75-0.9c-5.89-8.35-40.74-49.48-43.04-51.75c-0.42-0.35-0.69-0.85-0.75-1.4
+					c-0.07-0.62,0.14-1.25,0.57-1.7l45.44-48.22c0.45-0.48,1.11-0.72,1.75-0.66c0.66,0.06,1.25,0.42,1.6,0.97
+					c12.49,19.49,34.53,50.97,40.52,52.46c1.14,0.29,1.84,1.45,1.55,2.59c-0.29,1.14-1.45,1.84-2.59,1.55
+					c-8.73-2.18-33.69-39.79-41.59-52l-42.2,44.78c7.77,8.6,38.08,45.01,42.23,50.9c0.68,0.96,0.45,2.3-0.51,2.98
+					C139.56,276.54,139.13,276.67,138.7,276.67z"/>
+			</g>
+			<path class="st3" d="M140.57,203.37c0.89,0.92,0.4,2.53-0.77,4.05c-8.12,10.68-16.91,21.15-26.31,31.36
+				c-1.07,1.14-2.15,2.35-3.34,3.41c-2.73-4.11-5.4-8.22-7.89-11.87c-0.74-1.17-1.49-2.3-2.22-3.31c0.27-0.17,0.59-0.35,0.86-0.53
+				c1.32-0.82,2.39-1,3.22-0.82c0.7-0.44,1.41-0.85,2.12-1.34c3.27-2.23,6.51-4.51,9.77-6.76c6.71-4.63,13.42-9.25,20.12-13.9
+				C137.78,202.52,139.78,202.57,140.57,203.37z"/>
+			<g>
+				<path class="st2" d="M143.38,171.03c3.14-9.52,3.5-20.06,0.26-30.35c-8.22-26.18-36.11-40.73-62.29-32.51
+					c-20.44,6.42-33.73,24.83-34.69,45.05c-7.6,11.94-10.09,27.02-5.52,41.58c8.22,26.18,36.11,40.73,62.29,32.51
+					c13.83-4.34,24.37-14.19,30.05-26.36c4.75,6.28,13.08,9.23,21.02,6.74c10.1-3.17,15.71-13.93,12.54-24.03
+					C163.91,173.69,153.37,168.11,143.38,171.03z"/>
+				<path d="M88.48,231.76c-8.24,0-16.4-1.99-23.91-5.91c-12.27-6.4-21.31-17.2-25.46-30.41c-4.53-14.43-2.54-30.03,5.45-42.89
+					c1.25-21.39,15.72-40,36.15-46.43c13.2-4.15,27.24-2.91,39.51,3.5c12.27,6.41,21.31,17.2,25.46,30.41
+					c2.89,9.19,3.13,18.88,0.74,28.21c9.88-1.08,19.59,4.99,22.66,14.77c1.71,5.43,1.19,11.2-1.44,16.24
+					c-2.63,5.05-7.07,8.76-12.5,10.47c-7.5,2.35-15.62,0.34-21.17-5.01c-6.39,11.73-17.13,20.62-29.9,24.63
+					C98.95,230.97,93.7,231.76,88.48,231.76z M96.3,108c-4.79,0-9.61,0.73-14.31,2.21c-18.91,5.94-32.25,23.27-33.2,43.12
+					c-0.02,0.37-0.13,0.73-0.33,1.05c-7.57,11.89-9.49,26.39-5.28,39.8c3.81,12.12,12.1,22.02,23.36,27.9
+					c11.26,5.88,24.13,7.01,36.25,3.21c12.65-3.97,23.13-13.17,28.75-25.22c0.32-0.68,0.97-1.14,1.71-1.22
+					c0.75-0.07,1.48,0.24,1.93,0.84c4.33,5.73,11.84,8.14,18.67,5.99c4.34-1.36,7.89-4.34,9.99-8.37c2.1-4.03,2.51-8.64,1.15-12.98
+					c-2.76-8.78-12.19-13.81-21.02-11.22c-0.76,0.22-1.58,0.01-2.14-0.57c-0.55-0.57-0.74-1.4-0.49-2.15
+					c3.14-9.53,3.23-19.57,0.25-29.04c-3.81-12.12-12.1-22.03-23.36-27.9C111.35,109.82,103.86,108,96.3,108z"/>
+			</g>
+			<g>
+				<path d="M138.15,190.59c-0.5,0-1.01-0.18-1.42-0.54c-0.88-0.79-0.96-2.14-0.18-3.02c4.69-5.26,12.16-7.69,19.05-6.18
+					c1.15,0.25,1.88,1.39,1.63,2.54c-0.25,1.15-1.39,1.89-2.54,1.63c-5.32-1.17-11.32,0.78-14.94,4.85
+					C139.32,190.35,138.74,190.59,138.15,190.59z"/>
+			</g>
+			<g>
+				<path d="M64.19,189.57c-0.1,0-0.2,0-0.3,0c-5.34-0.09-10.28-2.44-13.2-6.29c-0.71-0.94-0.53-2.28,0.41-2.99
+					c0.94-0.72,2.28-0.53,2.99,0.41c2.14,2.82,5.83,4.53,9.87,4.6c4.05,0.05,7.78-1.53,10.01-4.28c0.75-0.91,2.09-1.05,3.01-0.31
+					c0.92,0.74,1.06,2.09,0.31,3.01C74.29,187.39,69.42,189.57,64.19,189.57z"/>
+			</g>
+			<g>
+				<path d="M100.39,147.11c-0.86,0-1.67-0.52-1.99-1.37c-2.73-7.12-8.29-5.87-13.28-4.15l-0.52,0.18
+					c-1.12,0.38-2.33-0.23-2.71-1.34c-0.38-1.12,0.23-2.33,1.34-2.71l0.49-0.17c3.52-1.22,14.22-4.91,18.67,6.65
+					c0.42,1.1-0.13,2.34-1.23,2.76C100.9,147.06,100.64,147.11,100.39,147.11z"/>
+			</g>
+			<g>
+				<path d="M56.31,164.96c-0.7,0-1.39-0.35-1.8-0.98c-0.64-0.99-0.35-2.31,0.64-2.95c6.54-4.2,10.06-10.19,11.12-13.07
+					c1.13-3.07,0.59-6.78-1.47-10.18c-2.13-3.52-5.53-5.97-8.87-6.4c-1.17-0.15-2-1.22-1.84-2.39c0.15-1.17,1.24-2,2.39-1.84
+					c4.67,0.6,9.15,3.75,11.98,8.42c2.74,4.51,3.4,9.56,1.83,13.86c-1.54,4.2-5.82,10.7-12.82,15.19
+					C57.11,164.85,56.71,164.96,56.31,164.96z"/>
+			</g>
+			<path d="M54.47,150.14c-0.14,3.38,1.72,6.19,4.15,6.29c2.43,0.1,4.51-2.55,4.65-5.93c0.14-3.38-1.72-6.19-4.15-6.29
+				C56.7,144.11,54.61,146.76,54.47,150.14z"/>
+			<path d="M82.65,156.09c-0.14,3.38,1.72,6.19,4.15,6.29c2.43,0.1,4.51-2.55,4.65-5.93c0.14-3.38-1.72-6.19-4.15-6.29
+				C84.88,150.05,82.79,152.71,82.65,156.09z"/>
+			<path class="st3" d="M156.69,147.01c1.01,8.17,1.53,16.39,1.79,24.59c0.02,0.7-0.42,1.48-1.21,1.5
+				c-7.15,0.17-14.27-0.95-21.04-3.27c-12.39-4.26-23.32-12.54-30.46-23.57c-7.79-12.07-11.12-26.84-9.14-41.08
+				c0.21-1.62,2.53-1.33,2.66,0.1c4.92-3.98,12.2-3.99,18.16-2.52c6.62,1.63,12.6,5.04,18.29,8.71c6.17,3.95,11.73,8.13,15.24,14.75
+				C154.38,132.63,155.79,139.88,156.69,147.01z"/>
+		</g>
+		<g>
+			<path class="st3" d="M169.91,347.64c-0.62,0-1.23-0.27-1.66-0.78l-16.08-19.68c-20.3-24.84-19.14-59.96,2.75-83.49
+				c18.55-19.95,47.3-26.71,73.23-17.23l90.82,33.2c1.11,0.4,1.68,1.63,1.27,2.74c-0.41,1.11-1.63,1.68-2.74,1.27l-90.82-33.2
+				c-24.31-8.89-51.25-2.56-68.63,16.13c-20.42,21.96-21.5,54.71-2.57,77.88l16.08,19.68c0.75,0.91,0.61,2.26-0.3,3.01
+				C170.86,347.48,170.39,347.64,169.91,347.64z"/>
+		</g>
+		<g>
+			<path class="st3" d="M102.82,328.77c-1.05,0-1.97-0.78-2.11-1.85l-3.44-25.18c-2.66-19.49,3.58-38.7,17.12-52.69
+				c0.82-0.85,2.17-0.87,3.02-0.05c0.85,0.82,0.87,2.17,0.05,3.02c-12.63,13.05-18.44,30.96-15.96,49.14l3.44,25.18
+				c0.16,1.17-0.66,2.25-1.83,2.41C103.02,328.76,102.92,328.77,102.82,328.77z"/>
+		</g>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-08.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-08.svg
new file mode 100644
index 00000000000..58e755d1b13
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-08.svg	
@@ -0,0 +1,125 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F6E1DC;}
+	.st1{fill:#F0AF9B;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#080717;}
+	.st4{fill:none;stroke:#85BAC6;stroke-width:0.4121;stroke-miterlimit:10;}
+	.st5{fill:#F2ECDE;}
+	.st6{fill:#85BAC6;}
+	.st7{fill:#FCDEDE;}
+	.st8{fill:#AAD2DC;}
+	.st9{fill:#F5F5F5;}
+	.st10{fill:#E8EDC5;}
+	.st11{fill:#B9D2D7;}
+	.st12{fill:#FFFFFF;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st13{fill:#CEE1E7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#FDEDE0;}
+	.st17{fill:#C7E1E0;}
+	.st18{fill:#EFCBBF;}
+	.st19{fill:#23285C;}
+	.st20{fill:#010101;}
+	.st21{fill:#C6E0F5;}
+	.st22{fill:#DDD6CC;}
+	.st23{fill:#E0E0E0;}
+	.st24{fill:#F3F3F3;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4658 172.5338)" class="st16" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<g>
+			<path d="M52.49,294.35c-0.64,0-1.28-0.29-1.7-0.84c-0.72-0.94-0.54-2.28,0.4-2.99c0.98-0.75,24.48-18.51,67.33-28.63
+				c39.45-9.31,103.3-13.43,183.48,19.82c1.09,0.45,1.61,1.7,1.15,2.79c-0.45,1.09-1.7,1.6-2.79,1.15
+				c-79.01-32.77-141.83-28.78-180.63-19.67c-42.04,9.88-65.72,27.74-65.95,27.92C53.4,294.21,52.94,294.35,52.49,294.35z"/>
+		</g>
+		<g>
+			<g>
+				<circle cx="154.04" cy="125.45" r="73.94"/>
+				<g>
+					<path class="st2" d="M124.6,176.17c0,0,3.6,84.33,4.71,85.18c67.42,51.23,61.68,14.68,61.68,14.68l-13.08-86.06L124.6,176.17z"
+						/>
+					<path d="M181.01,290.77c-10.96,0-28.72-9.28-52.99-27.72c-1.03-0.78-1.92-1.46-5.56-86.79c-0.03-0.68,0.26-1.33,0.79-1.75
+						c0.53-0.43,1.22-0.58,1.88-0.41l53.31,13.8c0.83,0.21,1.45,0.9,1.58,1.75l13.08,86.06c0.06,0.37,1.4,9.41-5.27,13.39
+						C185.97,290.21,183.69,290.77,181.01,290.77z M131.2,260.1c37.14,28.12,50.04,27.95,54.44,25.33c4.22-2.52,3.25-9.01,3.24-9.07
+						l-12.87-84.68l-49.15-12.72C128.19,209.94,130.32,254.1,131.2,260.1z"/>
+				</g>
+				<g>
+					<path class="st2" d="M224.87,92.54l8.37,53.31c3.46,21.26,1.34,43.05-6.16,63.23l-9.06,24.4c0,0-53.23,2.71-92.21-39.48
+						C86.84,151.8,106.18,43.89,224.87,92.54z"/>
+					<path d="M216.43,235.64c-9.54,0-56.9-2.01-92.18-40.19c-21.92-23.72-25.09-65.86-6.93-92.01
+						c11.57-16.65,41.02-40.48,108.36-12.87c0.69,0.28,1.18,0.91,1.3,1.65l8.38,53.31c3.51,21.57,1.35,43.81-6.26,64.31l-9.06,24.4
+						c-0.3,0.8-1.04,1.35-1.89,1.39C218.08,235.61,217.49,235.64,216.43,235.64z M170.68,82.23c-27.97,0-42.66,13.28-49.85,23.64
+						c-17.1,24.63-14.1,64.32,6.56,86.67c34.11,36.92,79.93,38.82,88.96,38.82c0.07,0,0.13,0,0.19,0l8.55-23.03
+						c7.36-19.8,9.45-41.3,6.05-62.15l-8.19-52.13C201.76,85.51,184.58,82.23,170.68,82.23z"/>
+				</g>
+				<g>
+					<path d="M245.73,129.34c-0.79,0-1.55-0.44-1.92-1.2c-1.07-2.19-5.1-4.83-9.99-5.47c-2.87-0.37-8.28-0.3-12.36,4.4
+						c-0.77,0.89-2.12,0.99-3.01,0.22c-0.89-0.77-0.99-2.12-0.22-3.01c3.99-4.61,9.73-6.69,16.14-5.84c5.94,0.78,11.4,4,13.28,7.83
+						c0.52,1.06,0.08,2.34-0.98,2.86C246.36,129.27,246.04,129.34,245.73,129.34z"/>
+				</g>
+				<g>
+					<path d="M192.95,126.11c-0.79,0-1.55-0.44-1.92-1.2c-1.07-2.19-5.1-4.83-9.99-5.47c-2.87-0.37-8.28-0.3-12.36,4.4
+						c-0.77,0.89-2.12,0.99-3.01,0.22c-0.89-0.77-0.99-2.12-0.22-3.01c3.99-4.61,9.73-6.68,16.14-5.84c5.94,0.78,11.4,4,13.27,7.83
+						c0.52,1.06,0.08,2.34-0.98,2.86C193.58,126.04,193.26,126.11,192.95,126.11z"/>
+				</g>
+				<path d="M189.95,146.6c-0.08,2.75-1.74,4.92-3.72,4.87c-1.98-0.06-3.51-2.33-3.44-5.07c0.08-2.75,1.74-4.93,3.72-4.87
+					C188.49,141.58,190.03,143.85,189.95,146.6z"/>
+				<path d="M233.61,148.54c-0.08,2.75-1.74,4.93-3.72,4.87c-1.98-0.06-3.51-2.33-3.44-5.07c0.08-2.75,1.74-4.93,3.72-4.87
+					C232.15,143.53,233.69,145.8,233.61,148.54z"/>
+				<g>
+					<path class="st6" d="M233.53,173.29c-11.32,0-20.74-8.99-21.16-20.4c-0.44-11.67,8.71-21.53,20.38-21.96h0
+						c5.65-0.2,11.05,1.79,15.2,5.64c4.15,3.85,6.55,9.08,6.76,14.74c0.21,5.65-1.79,11.05-5.64,15.2
+						c-3.85,4.15-9.08,6.55-14.74,6.76C234.06,173.29,233.8,173.29,233.53,173.29z M232.91,135.21L232.91,135.21
+						c-9.32,0.35-16.62,8.21-16.27,17.53c0.17,4.51,2.08,8.69,5.4,11.77c3.31,3.07,7.61,4.69,12.13,4.5
+						c4.51-0.17,8.69-2.08,11.76-5.4c3.07-3.31,4.67-7.62,4.5-12.13c-0.17-4.52-2.08-8.69-5.4-11.77
+						C241.73,136.64,237.41,135.04,232.91,135.21z"/>
+				</g>
+				<g>
+					<path d="M211.05,185.27c-0.08,0-0.16,0-0.24-0.01l-16.72-1.9c-1.17-0.13-2.02-1.19-1.88-2.36c0.13-1.17,1.21-2.02,2.36-1.88
+						l14.11,1.6l-5.01-54.12c-0.11-1.17,0.76-2.22,1.93-2.32c1.18-0.1,2.22,0.76,2.32,1.93l5.25,56.73
+						c0.06,0.64-0.17,1.27-0.63,1.72C212.14,185.05,211.61,185.27,211.05,185.27z"/>
+				</g>
+				<g>
+					<path class="st6" d="M214.78,153.18c-0.1,0-0.21-0.01-0.32-0.02l-12.69-1.87c-1.17-0.17-1.97-1.26-1.8-2.43
+						c0.17-1.17,1.28-1.97,2.43-1.8l12.69,1.87c1.17,0.17,1.97,1.26,1.8,2.43C216.73,152.41,215.82,153.18,214.78,153.18z"/>
+				</g>
+				<path d="M146.67,104.06l3.75,53.97l-32.4-2.76l6.47,38.73c0,0-46.59-18.75-36.84-70.6c26.53-141.12,165.9-26.76,132.83-25.45
+					C187.4,99.25,146.67,104.06,146.67,104.06z"/>
+				<g>
+					<path class="st2" d="M139.18,155.2c1.79-9.93-4.81-19.43-14.74-21.23c-9.93-1.79-19.43,4.81-21.23,14.74
+						c-1.79,9.93,4.81,19.43,14.74,21.23L139.18,155.2z"/>
+					<path d="M117.96,172.07c-0.13,0-0.25-0.01-0.38-0.03c-11.08-2-18.46-12.63-16.46-23.71c0.97-5.36,3.97-10.03,8.44-13.14
+						c4.48-3.11,9.9-4.29,15.26-3.32c11.08,2,18.46,12.63,16.46,23.71c-0.21,1.16-1.31,1.94-2.48,1.72
+						c-1.16-0.21-1.93-1.32-1.72-2.48c1.58-8.76-4.26-17.16-13.02-18.74c-4.25-0.77-8.53,0.17-12.07,2.63
+						c-3.54,2.46-5.91,6.15-6.68,10.39c-0.77,4.24,0.17,8.53,2.63,12.07c2.46,3.54,6.15,5.91,10.39,6.68
+						c1.16,0.21,1.93,1.32,1.72,2.48C119.87,171.35,118.97,172.07,117.96,172.07z"/>
+				</g>
+				<g>
+					<path class="st6" d="M181.13,170.46c-0.4,0-0.8-0.01-1.21-0.03c-5.65-0.31-10.84-2.81-14.61-7.03
+						c-3.77-4.22-5.68-9.65-5.36-15.3c0.31-5.65,2.81-10.84,7.03-14.61c4.22-3.77,9.66-5.66,15.3-5.36
+						c5.65,0.31,10.84,2.81,14.61,7.03c3.77,4.22,5.68,9.65,5.36,15.3c-0.31,5.65-2.81,10.84-7.03,14.61
+						C191.31,168.57,186.34,170.46,181.13,170.46z M181.07,132.36c-4.16,0-8.13,1.51-11.25,4.31c-3.37,3.01-5.36,7.15-5.61,11.67
+						c-0.25,4.51,1.27,8.85,4.28,12.22c3.01,3.37,7.16,5.36,11.67,5.61c4.51,0.24,8.85-1.27,12.21-4.28
+						c3.37-3.01,5.36-7.15,5.61-11.67c0.25-4.51-1.27-8.85-4.28-12.21c-3.01-3.37-7.15-5.36-11.67-5.61
+						C181.71,132.37,181.39,132.36,181.07,132.36z"/>
+				</g>
+				<g>
+					<path d="M199.3,209.05c-7.24,0-16.47-2.01-25.57-9.58c-0.91-0.75-1.03-2.1-0.28-3.01c0.76-0.91,2.1-1.03,3.01-0.28
+						c16.9,14.06,34.19,6.71,34.92,6.39c1.08-0.48,2.34,0.01,2.82,1.09c0.48,1.08-0.01,2.34-1.08,2.82
+						C212.69,206.67,207.17,209.05,199.3,209.05z"/>
+				</g>
+				<ellipse cx="217.11" cy="60.57" rx="32.92" ry="37.65"/>
+				<ellipse cx="180.66" cy="60.42" rx="23.64" ry="27.04"/>
+			</g>
+		</g>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-09.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-09.svg
new file mode 100644
index 00000000000..a498bfb52ce
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-09.svg	
@@ -0,0 +1,137 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F6E1DC;}
+	.st1{fill:#F0AF9B;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#080717;}
+	.st4{fill:none;stroke:#85BAC6;stroke-width:0.4121;stroke-miterlimit:10;}
+	.st5{fill:#F2ECDE;}
+	.st6{fill:#85BAC6;}
+	.st7{fill:#FCDEDE;}
+	.st8{fill:#AAD2DC;}
+	.st9{fill:#F5F5F5;}
+	.st10{fill:#E8EDC5;}
+	.st11{fill:#B9D2D7;}
+	.st12{fill:#FFFFFF;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st13{fill:#CEE1E7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#FDEDE0;}
+	.st17{fill:#C7E1E0;}
+	.st18{fill:#EFCBBF;}
+	.st19{fill:#23285C;}
+	.st20{fill:#010101;}
+	.st21{fill:#C6E0F5;}
+	.st22{fill:#DDD6CC;}
+	.st23{fill:#E0E0E0;}
+	.st24{fill:#F3F3F3;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4658 172.5338)" class="st11" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<path d="M172.53,345.07c59.82,0,112.52-30.46,143.47-76.7c-23.7-17.16-26.94-79.1-21.26-112.4c5.97-35.09-13.63-67.23-58.02-88.62
+			C192.38,45.97,213.67,93.9,135.1,55.46c-78.55-38.43-91.28,85.4-67.02,130.73c31.38,58.61,11.11,101.68-2.89,121.37
+			C94.66,331.02,131.94,345.07,172.53,345.07z"/>
+		<path class="st2" d="M254.3,251.43c-45.52-13.8-161.62,17.32-210.71,35.69c31.6,35.54,77.64,57.94,128.94,57.94
+			c51.26,0,97.27-22.37,128.87-57.86C293.73,274.06,279.73,259.14,254.3,251.43z"/>
+		<g>
+			<path d="M301.41,289.34c-0.73,0-1.45-0.38-1.85-1.06c-9.84-16.85-25.28-28.56-45.87-34.81c-24.78-7.51-69.67-0.97-102.97,5.83
+				c-43.42,8.88-84.44,21.61-106.37,29.81c-1.1,0.42-2.34-0.15-2.75-1.25c-0.41-1.11,0.15-2.34,1.25-2.75
+				c51.5-19.27,166.57-49.53,212.08-35.73c21.36,6.47,38.07,19.18,48.32,36.74c0.59,1.02,0.25,2.33-0.77,2.92
+				C302.14,289.25,301.77,289.34,301.41,289.34z"/>
+		</g>
+		<g>
+			<g>
+				<path class="st2" d="M188.88,250.67c-0.35-3.78-0.65-7.19-0.66-9.99c-0.42-62.12-25.88-119.93-44.53-41.94
+					c-0.4,1.68-0.51,3.42-0.35,5.13c0.88,9.59,2.57,44.43-17.38,58.76c-9.02,2.16-17.89,4.45-26.43,6.79
+					c14.65,14.24,34.66,23.02,56.73,23.02c31.65,0,59.06-18.05,72.5-44.38C216.87,247.82,203.3,248.8,188.88,250.67z"/>
+				<path d="M156.26,294.59c-21.86,0-42.54-8.39-58.22-23.63c-0.55-0.53-0.77-1.32-0.58-2.07c0.19-0.74,0.76-1.33,1.5-1.53
+					c8.76-2.4,17.53-4.66,26.08-6.71c18.56-13.74,17.08-46.75,16.17-56.58c-0.18-1.99-0.05-3.95,0.4-5.83
+					c6.47-27.06,14.34-40.28,23.45-39.21c11.91,1.36,24.96,32.96,25.29,81.63c0.02,2.21,0.21,4.83,0.45,7.6
+					c14.36-1.78,27.16-2.57,37.99-2.35c0.74,0.02,1.41,0.41,1.79,1.04c0.38,0.63,0.4,1.41,0.07,2.07
+					C216.32,277.13,187.81,294.59,156.26,294.59z M103.81,270.48c14.5,12.82,32.98,19.83,52.45,19.83
+					c28.77,0,54.88-15.3,68.94-40.15c-0.04,0-0.07,0-0.11,0c-10.41,0-22.48,0.88-35.93,2.63c-0.57,0.08-1.16-0.09-1.61-0.45
+					c-0.45-0.36-0.74-0.89-0.79-1.47c-0.34-3.67-0.65-7.21-0.67-10.17c-0.28-42.25-11.79-76.31-21.5-77.42
+					c-3-0.32-10.81,2.48-18.81,35.96c-0.34,1.42-0.44,2.92-0.3,4.44c0.96,10.47,2.49,45.78-18.27,60.69
+					c-0.23,0.16-0.48,0.28-0.75,0.34C119.03,266.49,111.43,268.43,103.81,270.48z"/>
+			</g>
+			<g>
+				<path class="st3" d="M144.93,220.77c8.81,0.22,17.36-0.06,25.53-0.82c-9.12,6.44-19,11.98-29.53,16.39
+					c1.29-1.82,2.27-3.75,2.86-5.84C144.73,227.17,145.02,223.91,144.93,220.77z"/>
+				<g>
+					<path class="st2" d="M230.68,159.98c-0.66-0.86-1.53-1.3-2.6-1.38c-7.1-2.75-16.03,1.44-20.52,9.93
+						c-0.2,0.37-0.36,0.74-0.53,1.11c-4.96,0.29-6.76-6.05-6.56-17.76c0.28-17.1,17.12-20.03-15.86-22.67
+						c-32.98-2.64-44.12-15.3-29.95-39.85c0,0-99.96,134.2,1.45,131.74c41.02-1,45.7-17.74,51.05-29.09
+						c0.54-1.15,1.16-1.96,1.83-2.54c0.9,0.93,1.92,1.74,3.09,2.36c7.28,3.86,17.06-0.32,21.84-9.33
+						C238.41,174.04,236.9,164.33,230.68,159.98z"/>
+					<path d="M153.44,223.27c-21.01,0-34.83-6.13-41.09-18.25c-7.99-15.44-3.51-39.89,13.29-72.67
+						c12.35-24.09,27.17-44.07,27.32-44.27c0.67-0.91,1.94-1.13,2.89-0.51c0.95,0.62,1.24,1.87,0.68,2.85
+						c-5.79,10.03-7.2,18-4.2,23.72c3.76,7.16,14.69,11.52,32.47,12.94c15.03,1.21,19.89,2.42,21.7,5.43
+						c1.43,2.38,0.33,4.93-0.95,7.89c-1.27,2.93-2.84,6.58-2.92,11.52c-0.17,10.19,1.29,13.78,2.55,14.98
+						c0.19,0.19,0.4,0.33,0.62,0.43c4.97-9.18,14.69-13.78,22.8-10.83c1.43,0.18,2.65,0.84,3.57,1.91
+						c6.99,5.11,8.57,15.84,3.66,25.1c-2.54,4.79-6.46,8.5-11.03,10.46c-4.73,2.02-9.59,1.94-13.7-0.24
+						c-0.63-0.33-1.24-0.72-1.82-1.16c-0.06,0.11-0.12,0.23-0.17,0.35c-0.35,0.75-0.71,1.53-1.06,2.32
+						c-5.18,11.41-12.26,27.04-51.87,28C155.24,223.26,154.33,223.27,153.44,223.27z M146.68,104.79
+						c-15.67,24.14-43.56,73.09-30.54,98.27c5.72,11.06,19.2,16.38,39.92,15.9c36.93-0.9,43.11-14.54,48.09-25.49
+						c0.37-0.81,0.73-1.6,1.09-2.37c0.64-1.36,1.42-2.43,2.38-3.25c0.86-0.73,2.15-0.67,2.93,0.14c0.78,0.82,1.64,1.47,2.55,1.96
+						c2.94,1.56,6.5,1.59,10.02,0.08c3.68-1.57,6.85-4.6,8.93-8.53c3.9-7.35,2.76-16.03-2.58-19.77c-0.18-0.13-0.34-0.28-0.47-0.45
+						c-0.27-0.36-0.58-0.52-1.06-0.55c-0.21-0.02-0.42-0.06-0.61-0.14c-6.1-2.37-13.96,1.56-17.86,8.94
+						c-0.14,0.27-0.27,0.56-0.4,0.84c-0.33,0.72-1.1,1.36-1.89,1.41c-1.9,0.11-3.62-0.51-4.95-1.79c-2.84-2.73-4.03-8.32-3.87-18.14
+						c0.1-5.78,1.93-10.03,3.27-13.14c0.67-1.56,1.51-3.5,1.21-4c-1.2-1.99-14.13-3.03-18.38-3.37
+						c-19.61-1.57-31.36-6.55-35.91-15.21C146.8,112.83,146.18,109.04,146.68,104.79z"/>
+				</g>
+			</g>
+			<g>
+				<path d="M185.24,160.2c-0.78,0-1.53-0.43-1.91-1.17c-0.01-0.01-1.69-3.09-6.75-5.48c-6.09-2.88-9.65,1.35-10.03,1.85
+					c-0.73,0.93-2.06,1.09-2.99,0.38c-0.93-0.72-1.11-2.04-0.4-2.98c2-2.63,7.76-6.66,15.26-3.11c6.48,3.07,8.65,7.24,8.73,7.42
+					c0.53,1.05,0.11,2.34-0.95,2.87C185.89,160.13,185.56,160.2,185.24,160.2z"/>
+			</g>
+			<path d="M176.84,156.99c-0.22,3.49-2.43,6.2-4.94,6.04c-2.51-0.16-4.38-3.11-4.16-6.61c0.22-3.49,2.43-6.2,4.94-6.04
+				C175.2,150.54,177.06,153.5,176.84,156.99z"/>
+			<g>
+				<path d="M149.3,153.09c-0.78,0-1.53-0.43-1.91-1.17c-0.01-0.01-1.69-3.08-6.75-5.48c-6.08-2.88-9.65,1.35-10.03,1.85
+					c-0.72,0.93-2.06,1.1-2.99,0.38c-0.93-0.72-1.11-2.04-0.4-2.98c2-2.63,7.75-6.66,15.26-3.11c6.48,3.07,8.65,7.24,8.73,7.42
+					c0.53,1.05,0.11,2.34-0.95,2.87C149.95,153.01,149.62,153.09,149.3,153.09z"/>
+			</g>
+			<path d="M139.25,150.32c-0.22,3.49-2.43,6.2-4.94,6.04c-2.51-0.16-4.38-3.11-4.16-6.61c0.22-3.49,2.43-6.2,4.95-6.04
+				C137.6,143.87,139.47,146.83,139.25,150.32z"/>
+			<g>
+				<path d="M157.2,203.55c-5.2,0-10.61-4.93-12.87-8.15c-0.68-0.97-0.45-2.3,0.52-2.98c0.97-0.68,2.3-0.45,2.98,0.52
+					c1.86,2.64,6.2,6.33,9.37,6.33c0.08,0,0.16,0,0.24-0.01c2.49-0.15,6.13-4.52,7.5-6.61c0.65-0.99,1.98-1.26,2.96-0.61
+					c0.99,0.65,1.26,1.97,0.61,2.96c-0.55,0.84-5.54,8.21-10.81,8.53C157.53,203.55,157.36,203.55,157.2,203.55z"/>
+			</g>
+			<g>
+				<path class="st6" d="M176.57,182.2c-1.09,0-2.2-0.08-3.31-0.25c-5.86-0.88-11.03-3.99-14.55-8.75
+					c-3.52-4.76-4.97-10.62-4.1-16.48c1.82-12.1,13.15-20.46,25.23-18.64l0,0c12.1,1.82,20.46,13.13,18.65,25.23
+					C196.84,174.29,187.35,182.2,176.57,182.2z M176.54,142.1c-8.71,0-16.37,6.38-17.7,15.25c-0.71,4.73,0.46,9.45,3.31,13.3
+					c2.84,3.85,7.02,6.36,11.75,7.07c4.73,0.71,9.46-0.46,13.3-3.31c3.85-2.84,6.36-7.01,7.07-11.74
+					c1.46-9.77-5.29-18.9-15.05-20.37l0,0C178.31,142.16,177.42,142.1,176.54,142.1z"/>
+			</g>
+			<g>
+				<path class="st6" d="M126.05,169.74c-1.75,0-3.53-0.21-5.31-0.65c-5.75-1.42-10.61-4.99-13.67-10.07
+					c-3.06-5.07-3.97-11.03-2.55-16.79c1.42-5.75,4.99-10.61,10.07-13.67c5.07-3.06,11.04-3.97,16.79-2.55
+					c11.88,2.93,19.15,14.98,16.22,26.85C145.1,162.96,136.01,169.73,126.05,169.74z M126.02,129.63c-3.23,0-6.4,0.88-9.23,2.59
+					c-4.1,2.47-6.98,6.39-8.13,11.04l0,0c-1.15,4.64-0.42,9.46,2.06,13.55c2.47,4.09,6.39,6.98,11.04,8.13
+					c9.58,2.37,19.31-3.51,21.68-13.1c2.37-9.59-3.51-19.31-13.1-21.68C128.91,129.81,127.46,129.63,126.02,129.63z M106.59,142.75
+					h0.02H106.59z"/>
+			</g>
+			<g>
+				<path d="M140.59,179.69c-0.34,0-0.69-0.08-1.01-0.25c-0.8-0.43-7.84-4.35-8.16-9.68c-0.11-1.74,0.48-4.32,3.85-6.69
+					c8.09-5.69,14.49-15.23,14.55-15.33c0.65-0.98,1.98-1.25,2.96-0.6c0.98,0.65,1.25,1.98,0.6,2.96
+					c-0.28,0.42-6.91,10.31-15.65,16.46c-1.41,0.99-2.1,1.98-2.04,2.93c0.14,2.33,4.05,5.17,5.92,6.18
+					c1.04,0.56,1.43,1.85,0.87,2.89C142.09,179.28,141.35,179.69,140.59,179.69z"/>
+			</g>
+			<g>
+				<path class="st6" d="M157.36,157.39c-0.23,0-0.47-0.04-0.7-0.12l-12.76-4.41c-1.11-0.39-1.71-1.6-1.32-2.72
+					c0.39-1.12,1.6-1.7,2.72-1.32l12.76,4.41c1.11,0.39,1.71,1.6,1.32,2.72C159.07,156.83,158.24,157.39,157.36,157.39z"/>
+			</g>
+		</g>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-10.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-10.svg
new file mode 100644
index 00000000000..93ced759e93
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-10.svg	
@@ -0,0 +1,109 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F6E1DC;}
+	.st1{fill:#F0AF9B;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#080717;}
+	.st4{fill:none;stroke:#85BAC6;stroke-width:0.4121;stroke-miterlimit:10;}
+	.st5{fill:#F2ECDE;}
+	.st6{fill:#85BAC6;}
+	.st7{fill:#FCDEDE;}
+	.st8{fill:#AAD2DC;}
+	.st9{fill:#F5F5F5;}
+	.st10{fill:#E8EDC5;}
+	.st11{fill:#B9D2D7;}
+	.st12{fill:#FFFFFF;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st13{fill:#CEE1E7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#FDEDE0;}
+	.st17{fill:#C7E1E0;}
+	.st18{fill:#EFCBBF;}
+	.st19{fill:#23285C;}
+	.st20{fill:#010101;}
+	.st21{fill:#C6E0F5;}
+	.st22{fill:#DDD6CC;}
+	.st23{fill:#E0E0E0;}
+	.st24{fill:#F3F3F3;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4659 172.5339)" class="st11" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<path d="M345.07,172.53c0-4.71-0.24-9.37-0.61-13.98c-47.39,6.57-95.8,30.4-107.78,28.41c-18.84-3.14-6.28-48.16-3.14-70.14
+			c3.14-21.99-7.33-28.27-7.33-28.27s-19.89-8.38-52.35-27.22c-32.45-18.84-69.1-37.69-64.91,1.05
+			c4.19,38.74,72.24,70.14,72.24,70.14s-24.08,48.16-41.88,96.32c-16.86,45.62,56.45,91.23,92.71,105.7
+			C297.99,310.3,345.07,246.92,345.07,172.53z"/>
+		<path class="st2" d="M309.69,277.17c-50.01-50.4-105.18-74.15-129.32-53.43c-22.1,18.96-34.8,61.07-52.2,115.54
+			c14.16,3.76,29.02,5.79,44.37,5.79C228.47,345.07,278.16,318.43,309.69,277.17z"/>
+		<g>
+			<path d="M128.17,341.42c-0.22,0-0.43-0.03-0.65-0.1c-1.12-0.36-1.74-1.56-1.39-2.69l2.23-6.99
+				c16.21-50.84,29.01-90.99,50.62-109.53c24.75-21.24,80.36,1.28,132.23,53.55c0.83,0.84,0.83,2.19-0.01,3.02
+				c-0.84,0.83-2.19,0.83-3.02-0.01c-49.43-49.82-103.78-72.74-126.41-53.32c-20.69,17.75-33.33,57.39-49.33,107.58l-2.23,6.99
+				C129.91,340.84,129.07,341.42,128.17,341.42z"/>
+		</g>
+		<g>
+			<path class="st2" d="M144.02,186.33l23.7,53.63c0,0,25.78,2.57,55.99-33.9c1.19-1.43-63.47-94.42-63.47-94.42l-43.18-26.36
+				L144.02,186.33z"/>
+			<path d="M168.98,242.14c-0.83,0-1.33-0.04-1.47-0.06c-0.77-0.08-1.43-0.56-1.74-1.26l-23.7-53.63c-0.04-0.1-0.08-0.21-0.11-0.31
+				L115,85.83c-0.23-0.84,0.09-1.74,0.79-2.26c0.7-0.52,1.65-0.57,2.39-0.11l43.18,26.36c0.25,0.15,0.47,0.36,0.64,0.6
+				c0.16,0.23,16.35,23.52,32.19,46.69c32.94,48.18,32.6,48.59,31.17,50.32C198.48,239.86,175.02,242.14,168.98,242.14z
+				 M146.05,185.62l23.08,52.23c5.24-0.11,27.09-2.45,52.14-32.19c-4.29-8-39.02-58.62-62.52-92.43L120.5,89.88L146.05,185.62z"/>
+		</g>
+		<g>
+			<path class="st2" d="M118.37,75.98c0,0-27.22,69.1-26.17,85.85c1.05,16.75,0,45.02,75.38,19.89L118.37,75.98z"/>
+			<path d="M120.02,193.82c-8.35,0-14.84-1.6-19.55-4.79c-9.22-6.25-9.85-17.29-10.31-25.35l-0.1-1.71
+				c-1.06-17.03,25.2-83.92,26.32-86.76c0.43-1.1,1.67-1.64,2.77-1.2c1.1,0.43,1.64,1.67,1.2,2.77
+				c-0.27,0.69-27.03,68.84-26.03,84.93l0.1,1.73c0.45,7.96,0.97,16.99,8.44,22.06c10.2,6.92,31.74,4.97,64.03-5.79
+				c1.12-0.37,2.33,0.23,2.7,1.35c0.37,1.12-0.23,2.33-1.35,2.7C148.1,190.47,132.1,193.82,120.02,193.82z"/>
+		</g>
+		<path d="M232.87,121.02c0.25-1.48,0.47-2.89,0.66-4.21c3.14-21.99-7.33-28.27-7.33-28.27s-19.89-8.37-52.35-27.22
+			c-32.45-18.84-69.1-37.69-64.91,1.05c4.19,38.74,72.24,70.14,72.24,70.14s-4.07,4.43-10.24,11.88
+			C194.4,142.07,215.74,133.67,232.87,121.02z"/>
+		<path d="M133.84,130.89c1.61-4.04,0.88-8.13-1.64-9.13c-2.51-1-5.85,1.47-7.46,5.51c-1.61,4.04-0.88,8.13,1.64,9.13
+			C128.89,137.4,132.23,134.93,133.84,130.89z"/>
+		<path d="M108.97,124.48c1.61-4.04,0.88-8.13-1.64-9.13c-2.51-1-5.85,1.47-7.46,5.51c-1.61,4.04-0.88,8.13,1.64,9.13
+			C104.02,130.99,107.36,128.52,108.97,124.48z"/>
+		<g>
+			<path d="M126.49,169.31c-1.09,0-2.23-0.15-3.42-0.48c-1.14-0.31-1.81-1.49-1.49-2.63c0.31-1.14,1.49-1.81,2.63-1.49
+				c8.89,2.44,12.85-10.05,13.02-10.58c0.35-1.12,1.55-1.76,2.67-1.41c1.13,0.35,1.76,1.54,1.42,2.67
+				C139.72,160.58,134.74,169.31,126.49,169.31z"/>
+		</g>
+		<g>
+			<path class="st3" d="M113.64,148.55c-0.13,0-0.27-0.01-0.41-0.04c-3.59-0.7-6.86-2.62-9.2-5.43c-0.63-0.75-0.66-1.83-0.09-2.62
+				c2.08-2.88,6.73-9.81,9.57-14.54c0.1-0.15,3.04-4.58,1.6-8.36c-0.96-2.51-3.74-4.35-8.25-5.48c-1.14-0.29-1.84-1.45-1.55-2.59
+				c0.29-1.14,1.45-1.84,2.59-1.55c5.96,1.49,9.74,4.23,11.22,8.13c2.23,5.88-1.83,11.91-2,12.16c-2.43,4.07-6.29,9.87-8.67,13.28
+				c1.57,1.41,3.55,2.41,5.61,2.81c1.16,0.22,1.92,1.35,1.69,2.5C115.54,147.84,114.64,148.55,113.64,148.55z"/>
+		</g>
+		<g>
+			<path class="st2" d="M182.49,127.59c-0.42,0-0.85-0.13-1.22-0.39c-38.87-27.22-57.74-50.66-56.11-69.69
+				c1.22-14.19,13.51-20.12,14.03-20.37c1.07-0.51,2.34-0.04,2.84,1.02c0.5,1.07,0.04,2.34-1.02,2.84
+				c-0.47,0.22-10.62,5.22-11.6,16.93c-0.99,11.95,7.62,33.07,54.31,65.76c0.97,0.68,1.2,2.01,0.52,2.98
+				C183.83,127.27,183.16,127.59,182.49,127.59z"/>
+		</g>
+		<path d="M275.15,176.36c-77.47,24.08-59.68-24.08-59.68-24.08s-16.75,16.75-31.41,14.66c0,0-25.13,27.22-2.09,45.02
+			c23.03,17.8,78.38,8.93,112.17,0.81c17.3-4.16,33.07-5.02,47.08-3.98c2.27-10.61,3.54-21.59,3.76-32.82
+			C325.5,169.45,302.16,167.96,275.15,176.36z"/>
+		<g>
+			<path class="st2" d="M214.71,213.18c-0.29,0-0.58,0-0.86-0.01c-8.28-0.17-14.59-3.25-18.75-9.17
+				c-13.25-18.85,0.47-60.21,1.06-61.96c0.38-1.12,1.59-1.72,2.71-1.34c1.12,0.38,1.72,1.59,1.34,2.71
+				c-0.14,0.41-13.62,41.06-1.61,58.14c3.38,4.8,8.39,7.21,15.34,7.35c13,0.27,36.61-6.19,63.92-13.66
+				c20.21-5.53,43.12-11.8,64.6-16c1.16-0.23,2.28,0.53,2.51,1.69c0.23,1.16-0.53,2.28-1.69,2.51
+				c-21.33,4.18-44.16,10.42-64.3,15.93C251.93,206.76,228.48,213.18,214.71,213.18z"/>
+		</g>
+		<g>
+			<path class="st2" d="M168.74,138.98c4.96-9.15,16.4-12.55,25.55-7.59c9.15,4.96,12.55,16.4,7.59,25.55
+				c-4.96,9.15-16.4,12.55-25.55,7.59L168.74,138.98z"/>
+			<path d="M185.27,168.94c-3.38,0-6.8-0.82-9.96-2.53c-1.04-0.56-1.42-1.86-0.86-2.9c0.56-1.04,1.86-1.43,2.9-0.86
+				c3.92,2.12,8.44,2.6,12.72,1.33c4.28-1.27,7.81-4.13,9.93-8.05c4.39-8.1,1.37-18.26-6.73-22.65c-8.1-4.39-18.26-1.37-22.65,6.73
+				c-0.56,1.04-1.86,1.42-2.9,0.86c-1.04-0.56-1.42-1.86-0.86-2.9c5.52-10.17,18.28-13.96,28.44-8.45
+				c4.93,2.67,8.52,7.1,10.11,12.47c1.6,5.37,1,11.04-1.67,15.97C199.96,164.96,192.73,168.94,185.27,168.94z"/>
+		</g>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-11.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-11.svg
new file mode 100644
index 00000000000..578c2444b2f
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-11.svg	
@@ -0,0 +1,140 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 347.1" style="enable-background:new 0 0 345.07 347.1;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F6E1DC;}
+	.st1{fill:#F0AF9B;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#080717;}
+	.st4{fill:none;stroke:#85BAC6;stroke-width:0.4121;stroke-miterlimit:10;}
+	.st5{fill:#F2ECDE;}
+	.st6{fill:#85BAC6;}
+	.st7{fill:#FCDEDE;}
+	.st8{fill:#AAD2DC;}
+	.st9{fill:#F5F5F5;}
+	.st10{fill:#E8EDC5;}
+	.st11{fill:#B9D2D7;}
+	.st12{fill:#FFFFFF;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st13{fill:#CEE1E7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#FDEDE0;}
+	.st17{fill:#C7E1E0;}
+	.st18{fill:#EFCBBF;}
+	.st19{fill:#23285C;}
+	.st20{fill:#010101;}
+	.st21{fill:#C6E0F5;}
+	.st22{fill:#DDD6CC;}
+	.st23{fill:#E0E0E0;}
+	.st24{fill:#F3F3F3;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4659 172.5339)" class="st16" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<g>
+			<path class="st2" d="M169.21,271.06h0.12c-14.58,0-26.4-11.82-26.4-26.4v-95.95c0-14.58,11.82-26.4,26.4-26.4h-0.12
+				c14.58,0,26.4,11.82,26.4,26.4v95.95C195.61,259.25,183.79,271.06,169.21,271.06z"/>
+			<path d="M169.33,273.2c-0.04,0-0.08,0-0.12,0c-0.02,0-0.03,0-0.05,0c-15.66-0.09-28.37-12.86-28.37-28.54v-95.95
+				c0-15.68,12.71-28.44,28.37-28.54c0.04,0,0.07,0,0.11,0c0.04,0,0.07,0,0.11,0c15.66,0.09,28.37,12.86,28.37,28.54v95.95
+				c0,15.68-12.71,28.44-28.37,28.54C169.36,273.2,169.35,273.2,169.33,273.2z M169.27,124.45c-13.35,0.03-24.2,10.9-24.2,24.26
+				v95.95c0,13.36,10.85,24.23,24.2,24.26c13.35-0.03,24.2-10.9,24.2-24.26v-95.95C193.47,135.36,182.62,124.49,169.27,124.45z"/>
+		</g>
+		<g>
+			<polygon class="st2" points="164.99,281.96 137.52,258.75 114.31,279.12 130.41,237.91 152.2,244.06 			"/>
+			<path d="M164.99,284.1c-0.49,0-0.98-0.17-1.38-0.51l-26.07-22.02l-21.83,19.16c-0.74,0.65-1.83,0.71-2.64,0.14
+				c-0.81-0.57-1.12-1.61-0.76-2.53l16.11-41.21c0.4-1.03,1.51-1.58,2.57-1.28l21.79,6.16c0.68,0.19,1.22,0.71,1.44,1.37l12.79,37.9
+				c0.31,0.91-0.03,1.91-0.82,2.45C165.83,283.97,165.41,284.1,164.99,284.1z M137.52,256.61c0.49,0,0.98,0.17,1.38,0.51
+				l21.62,18.27l-9.98-29.57l-18.84-5.33l-12.21,31.24l16.62-14.58C136.51,256.79,137.02,256.61,137.52,256.61z"/>
+		</g>
+		<path d="M109.06,149.1c0,0-17.82-65.67-4.75-85.12c13.36-19.89,29.69-17.02,53.45-4.86c23.75,12.16,21.18-7.36,53.45,3.65
+			c17.82,6.08,29.69,19.46,28.5,32.83c-1.19,13.38-1.19,48.64-13.06,62.02C214.76,170.99,128.06,183.15,109.06,149.1z"/>
+		<g>
+			<path class="st2" d="M127.96,156.2c3.28,12.09,0.8,23.29-5.54,25.01c-6.34,1.72-14.15-6.68-17.43-18.77
+				c-3.28-12.09-0.8-23.29,5.54-25.01C116.88,135.7,124.68,144.11,127.96,156.2z"/>
+			<path d="M120.74,183.57c-7.02,0-14.52-8.44-17.82-20.57c-3.65-13.43-0.55-25.57,7.04-27.63c7.6-2.07,16.4,6.84,20.05,20.27l0,0
+				c1.68,6.18,1.98,12.36,0.86,17.42c-1.23,5.54-4.04,9.16-7.91,10.22C122.24,183.47,121.5,183.57,120.74,183.57z M112.16,139.35
+				c-0.37,0-0.73,0.05-1.07,0.14c-4.46,1.21-7.21,10.7-4.04,22.39c3.17,11.68,10.34,18.48,14.81,17.27c2.23-0.61,4-3.16,4.85-7.02
+				c0.97-4.39,0.68-9.85-0.81-15.37c0,0,0,0,0,0C122.97,145.97,116.63,139.35,112.16,139.35z"/>
+		</g>
+		<g>
+			<path class="st2" d="M207.98,156.2c-3.28,12.09-0.8,23.29,5.54,25.01c6.34,1.72,14.15-6.68,17.43-18.77
+				c3.28-12.09,0.8-23.29-5.54-25.01C219.07,135.7,211.26,144.11,207.98,156.2z"/>
+			<path d="M215.2,183.57c-0.75,0-1.5-0.1-2.23-0.3c-3.87-1.05-6.68-4.68-7.91-10.22c-1.12-5.05-0.81-11.24,0.86-17.42
+				c3.65-13.43,12.46-22.33,20.05-20.28c7.6,2.06,10.69,14.2,7.05,27.63C229.72,175.13,222.22,183.57,215.2,183.57z M223.78,139.35
+				c-4.46,0-10.81,6.62-13.74,17.41c-1.5,5.52-1.79,10.98-0.81,15.37c0.85,3.85,2.62,6.41,4.85,7.02
+				c4.45,1.21,11.64-5.58,14.81-17.27c3.17-11.69,0.42-21.18-4.04-22.39C224.51,139.4,224.15,139.35,223.78,139.35z"/>
+		</g>
+		<g>
+			<path class="st2" d="M202.78,236.04h-69.32c-8.25,0-14.93-6.69-14.93-14.93V92.92c0-8.25,6.69-14.93,14.93-14.93h69.32
+				c8.25,0,14.93,6.69,14.93,14.93V221.1C217.71,229.35,211.02,236.04,202.78,236.04z"/>
+			<path d="M185.8,238.17h-35.37c-18.77,0-34.04-15.27-34.04-34.04v-94.23c0-18.77,15.27-34.04,34.04-34.04h35.37
+				c18.77,0,34.04,15.27,34.04,34.04v94.23C219.85,222.9,204.57,238.17,185.8,238.17z M150.43,80.12
+				c-16.42,0-29.77,13.35-29.77,29.77v94.23c0,16.42,13.35,29.77,29.77,29.77h35.37c16.42,0,29.77-13.35,29.77-29.77v-94.23
+				c0-16.42-13.35-29.77-29.77-29.77H150.43z"/>
+		</g>
+		<path d="M136.04,158.19c1.3,3.32,4.29,5.26,6.68,4.32c2.39-0.94,3.27-4.39,1.97-7.71c-1.3-3.32-4.29-5.26-6.68-4.32
+			C135.62,151.42,134.74,154.87,136.04,158.19z"/>
+		<g>
+			<path d="M152.41,147.6c-0.46,0-0.92-0.15-1.31-0.45c-2.25-1.74-5.36-2.83-8.77-3.07c-4.15-0.29-8.08,0.74-10.53,2.77
+				c-0.91,0.75-2.26,0.62-3.01-0.28c-0.75-0.91-0.63-2.26,0.28-3.01c3.28-2.71,8.34-4.11,13.56-3.75c4.24,0.3,8.18,1.7,11.09,3.95
+				c0.93,0.72,1.1,2.06,0.38,3C153.68,147.31,153.04,147.6,152.41,147.6z"/>
+		</g>
+		<path d="M185.85,158.19c1.3,3.32,4.29,5.26,6.68,4.32c2.39-0.94,3.27-4.39,1.97-7.71c-1.3-3.32-4.29-5.26-6.68-4.32
+			C185.43,151.42,184.55,154.87,185.85,158.19z"/>
+		<g>
+			<path d="M202.21,147.6c-0.46,0-0.92-0.15-1.31-0.45c-2.25-1.74-5.36-2.83-8.77-3.07c-4.15-0.29-8.08,0.74-10.53,2.77
+				c-0.91,0.75-2.26,0.62-3.01-0.28c-0.75-0.91-0.63-2.26,0.28-3.01c3.28-2.71,8.34-4.11,13.56-3.75c4.24,0.3,8.18,1.7,11.09,3.95
+				c0.93,0.72,1.1,2.06,0.38,3C203.48,147.31,202.85,147.6,202.21,147.6z"/>
+		</g>
+		<g>
+			<path d="M165.5,180.84c-1.38,0-2.76-0.58-3.62-1.59c-1.72-2.02-1.54-4.72-1.44-6.33c0.61-9.25,1.44-18.59,2.47-27.77
+				c0.13-1.17,1.19-2.02,2.36-1.88c1.17,0.13,2.02,1.19,1.88,2.36c-1.03,9.12-1.86,18.39-2.46,27.57c-0.08,1.25-0.12,2.64,0.43,3.29
+				c0.05,0.05,0.19,0.08,0.32,0.09c0.34-0.93,1.3-1.52,2.31-1.38c1.17,0.17,1.98,1.26,1.81,2.42c-0.21,1.47-1.25,2.61-2.76,3.04
+				C166.39,180.79,165.95,180.84,165.5,180.84z"/>
+		</g>
+		<path d="M120.34,129.64c0,0,3.92-32.74,14.01-28.25c10.09,4.49,10.46,13.84,26.16,14.97c15.69,1.12,25.78-4.49,31.39,1.12
+			c5.61,5.61,15.69,17.96,29.15,8.98c13.45-8.98,14.76-30.49-6.54-41.72c-21.3-11.22-53.25-12.91-71.19-14.03
+			C125.39,69.59,106.89,102.7,120.34,129.64z"/>
+		<path d="M220.09,181.21c0,0-2.57,9.55-12.76,11.75c-10.19,2.21-16.99-5.52-30.58-6.63c-0.5-0.04-0.99-0.08-1.48-0.11
+			c-2.22-0.32-4.65-0.41-7.28-0.37c-2.62-0.04-5.06,0.05-7.28,0.37c-0.49,0.04-0.98,0.07-1.48,0.11
+			c-13.59,1.1-20.39,8.83-30.58,6.63c-10.19-2.21-12.76-11.75-12.76-11.75c-21.82,72.18,56.32,69.18,56.32,69.18
+			S241.92,253.39,220.09,181.21z"/>
+		<g>
+			<path class="st2" d="M164.29,206.44c-0.96,0-1.93-0.03-2.93-0.1c-1.18-0.08-2.07-1.09-1.99-2.27c0.08-1.18,1.1-2.06,2.27-1.99
+				c5.89,0.39,11-0.48,16.57-2.81c1.09-0.46,2.34,0.06,2.79,1.15c0.45,1.09-0.06,2.34-1.15,2.79
+				C174.59,205.41,169.68,206.44,164.29,206.44z"/>
+		</g>
+		<g>
+			<path d="M45.62,292.15c-0.22,0-0.45-0.04-0.67-0.11c-1.12-0.37-1.73-1.58-1.36-2.7l7.99-24.27
+				c3.53-10.72,12.17-18.76,23.11-21.51l51.41-12.94c1.14-0.28,2.3,0.41,2.59,1.55c0.29,1.14-0.41,2.31-1.55,2.59l-51.41,12.94
+				c-9.52,2.4-17.03,9.39-20.1,18.71l-7.99,24.27C47.35,291.58,46.52,292.15,45.62,292.15z"/>
+		</g>
+		<g>
+			<path class="st2" d="M172.1,344.96l-7.11-63L172.1,344.96z"/>
+			<path d="M172.1,347.1c-1.07,0-2-0.81-2.12-1.9l-7.11-63c-0.13-1.17,0.71-2.23,1.88-2.36c1.17-0.13,2.23,0.71,2.36,1.88l7.11,63
+				c0.13,1.17-0.71,2.23-1.88,2.36C172.26,347.1,172.18,347.1,172.1,347.1z"/>
+		</g>
+		<g>
+			<polygon class="st2" points="176.36,281.96 203.84,258.75 227.05,279.12 210.94,237.91 189.15,244.06 			"/>
+			<path d="M176.36,284.1c-0.42,0-0.84-0.12-1.2-0.37c-0.79-0.54-1.13-1.54-0.82-2.45l12.79-37.9c0.23-0.67,0.76-1.18,1.44-1.37
+				l21.79-6.16c1.06-0.3,2.17,0.25,2.57,1.28l16.11,41.21c0.36,0.92,0.04,1.96-0.76,2.53c-0.81,0.56-1.89,0.51-2.64-0.14
+				l-21.83-19.16l-26.07,22.02C177.35,283.93,176.86,284.1,176.36,284.1z M190.82,245.81l-9.98,29.57l21.62-18.27
+				c0.81-0.68,1.99-0.67,2.79,0.03l16.62,14.58l-12.21-31.24L190.82,245.81z"/>
+		</g>
+		<g>
+			<path d="M295.74,292.15c-0.9,0-1.73-0.57-2.03-1.47l-7.99-24.27c-3.07-9.32-10.58-16.31-20.1-18.71l-51.41-12.94
+				c-1.14-0.29-1.84-1.45-1.55-2.59c0.29-1.15,1.45-1.84,2.59-1.55l51.41,12.94c10.94,2.76,19.58,10.8,23.11,21.51l7.99,24.27
+				c0.37,1.12-0.24,2.33-1.36,2.7C296.18,292.11,295.96,292.15,295.74,292.15z"/>
+		</g>
+		<g>
+			<path class="st2" d="M170.2,326.01l6.16-44.05L170.2,326.01z"/>
+			<path d="M170.21,328.15c-0.1,0-0.2-0.01-0.3-0.02c-1.17-0.16-1.98-1.24-1.82-2.41l6.16-44.05c0.16-1.17,1.24-1.99,2.41-1.82
+				c1.17,0.16,1.98,1.24,1.82,2.41l-6.16,44.05C172.17,327.38,171.26,328.15,170.21,328.15z"/>
+		</g>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-12.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-12.svg
new file mode 100644
index 00000000000..373031e999a
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-12.svg	
@@ -0,0 +1,99 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F6E1DC;}
+	.st1{fill:#F0AF9B;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#080717;}
+	.st4{fill:none;stroke:#85BAC6;stroke-width:0.4121;stroke-miterlimit:10;}
+	.st5{fill:#F2ECDE;}
+	.st6{fill:#85BAC6;}
+	.st7{fill:#FCDEDE;}
+	.st8{fill:#AAD2DC;}
+	.st9{fill:#F5F5F5;}
+	.st10{fill:#E8EDC5;}
+	.st11{fill:#B9D2D7;}
+	.st12{fill:#FFFFFF;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st13{fill:#CEE1E7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#FDEDE0;}
+	.st17{fill:#C7E1E0;}
+	.st18{fill:#EFCBBF;}
+	.st19{fill:#23285C;}
+	.st20{fill:#010101;}
+	.st21{fill:#C6E0F5;}
+	.st22{fill:#DDD6CC;}
+	.st23{fill:#E0E0E0;}
+	.st24{fill:#F3F3F3;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4659 172.5339)" class="st18" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<g>
+			<path class="st3" d="M135.16,198.21c0,0-82.96-32.52-78.98-70.35c3.98-37.83,89.6-70.35,110.83-73.67
+				c21.24-3.32,57.74-1.99,73.67,42.48c15.93,44.47,40.48,82.3,49.78,81.63c0,0,14.63,31.24-47.78,31.86
+				c-67.03,0.66-68.36,32.52-68.36,32.52S173.65,208.83,135.16,198.21z"/>
+			<g>
+				<path class="st2" d="M145.44,214.47l5.64,13.61l19.91-7.96c0,0-2.72-31.56,11.95-44.47c16.59-14.6,14.73-30.68,7.3-40.48
+					c-9.7-12.79-25.91-5.18-28.54,14.93c-1,7.63,1,17.26,1,17.26s-41.15,22.56-72.34-43.8c0,0-16.92-9.95-16.92,12.94
+					c0,22.9,5.97,80.64,5.97,80.64s8.96,31.86,45.79,7.96c36.83-23.89,36.83-23.89,36.83-23.89L145.44,214.47z"/>
+				<path d="M100.91,236.12c-2.99,0-5.8-0.5-8.43-1.49c-11.47-4.32-14.98-16.41-15.13-16.93c-0.03-0.12-0.06-0.24-0.07-0.36
+					c-0.06-0.58-5.98-58.11-5.98-80.86c0-8.19,2.11-13.54,6.27-15.92c5.98-3.43,13.55,0.95,13.87,1.14
+					c0.37,0.22,0.67,0.54,0.85,0.93c11.34,24.13,25.17,39.02,41.11,44.26c12.74,4.18,23.25,0.73,26.89-0.79
+					c-0.54-3.17-1.5-10.25-0.71-16.29c1.51-11.58,7.71-20.45,15.79-22.59c6.09-1.62,12.13,0.8,16.57,6.64
+					c7.7,10.15,10.33,27.61-7.59,43.38c-13.7,12.05-11.26,42.37-11.23,42.68c0.08,0.94-0.46,1.82-1.33,2.17l-19.91,7.96
+					c-1.09,0.44-2.32-0.09-2.77-1.17l-5.48-13.21l-17.27,11.2C116.88,233.03,108.36,236.12,100.91,236.12z M81.51,216.7
+					c0.42,1.31,3.7,10.65,12.51,13.95c7.86,2.94,17.96,0.47,30.01-7.35l36.83-23.89c0.99-0.64,2.31-0.36,2.96,0.63
+					c0.64,0.99,0.36,2.31-0.63,2.96l-15.95,10.34c0.06,0.1,0.12,0.21,0.16,0.32l4.83,11.66l16.51-6.6
+					c-0.35-6.76-0.77-32.75,12.77-44.66c15.71-13.82,13.92-28.48,7.01-37.59c-3.38-4.46-7.67-6.27-12.06-5.1
+					c-6.4,1.7-11.37,9.16-12.65,19.02c-0.94,7.17,0.95,16.45,0.97,16.55c0.19,0.92-0.24,1.85-1.07,2.31
+					c-0.56,0.31-13.98,7.49-31.55,1.77c-17-5.54-31.61-20.97-43.44-45.89c-1.52-0.75-5.92-2.62-9.05-0.82
+					c-2.69,1.55-4.11,5.77-4.11,12.21C75.57,158.33,81.12,212.89,81.51,216.7z"/>
+			</g>
+			<g>
+				<path d="M172.65,161.19c-1.1,0-2.03-0.84-2.13-1.95c-0.65-7.33,0.29-12.52,2.79-15.41c1.7-1.96,3.52-2.16,3.87-2.18
+					c1.21-0.05,2.19,0.84,2.25,2.01c0.06,1.14-0.78,2.12-1.91,2.24c-1.08,0.24-3.63,3.01-2.75,12.95c0.1,1.17-0.76,2.21-1.94,2.32
+					C172.78,161.19,172.71,161.19,172.65,161.19z"/>
+			</g>
+			<g>
+				<path d="M129.19,180.44c-0.05,0-0.1,0-0.15-0.01c-0.8-0.06-19.77-1.61-31.5-19.54c-10.69-16.35-14.13-46.77-14.27-48.06
+					c-0.13-1.17,0.72-2.23,1.89-2.36c1.17-0.12,2.23,0.72,2.36,1.89c0.03,0.31,3.47,30.7,13.6,46.18
+					c10.54,16.11,28.06,17.61,28.23,17.62c1.17,0.09,2.06,1.11,1.97,2.29C131.23,179.58,130.3,180.44,129.19,180.44z"/>
+			</g>
+			<g>
+				<path d="M87.16,187.66c-0.58,0-1.15-0.23-1.57-0.69c-0.8-0.87-0.75-2.22,0.12-3.02c1.68-1.55,2.32-4.43,1.62-7.34
+					c-0.71-2.96-2.52-5.67-4.28-8.3c-0.66-0.98-0.39-2.31,0.59-2.96c0.98-0.65,2.31-0.39,2.96,0.59c1.87,2.8,3.99,5.98,4.88,9.68
+					c1.07,4.45-0.04,8.85-2.88,11.48C88.19,187.47,87.67,187.66,87.16,187.66z"/>
+			</g>
+			<g>
+				<path d="M97.25,207.54c-0.49,0-0.98-0.03-1.48-0.08c-1.17-0.13-2.01-1.19-1.88-2.37c0.14-1.17,1.19-2.02,2.37-1.88
+					c4.44,0.52,9.12-2.58,10.37-6.9c0.33-1.13,1.52-1.78,2.65-1.46c1.13,0.33,1.79,1.51,1.46,2.65
+					C109.04,203.36,103.29,207.54,97.25,207.54z"/>
+			</g>
+			<path d="M94.09,169.88c1.17,2.99,3.87,4.74,6.02,3.89c2.15-0.84,2.95-3.95,1.78-6.95c-1.17-2.99-3.87-4.74-6.02-3.89
+				C93.71,163.77,92.92,166.88,94.09,169.88z"/>
+		</g>
+		<g>
+			<path d="M175.17,251.24c-0.96,0-1.83-0.65-2.07-1.63c-0.62-2.54-0.93-4.88-0.92-6.94c0.04-7.65,5-15.16,13.95-21.13
+				c25.29-16.89,80.96-21.63,148.32,5.86c1.09,0.45,1.62,1.69,1.17,2.79c-0.45,1.09-1.69,1.62-2.79,1.17
+				c-65.9-26.9-119.98-22.53-144.33-6.27c-7.73,5.16-12.01,11.41-12.04,17.6c-0.01,1.72,0.26,3.7,0.8,5.9
+				c0.28,1.15-0.42,2.3-1.57,2.58C175.51,251.22,175.34,251.24,175.17,251.24z"/>
+		</g>
+		<g>
+			<path d="M284.46,300.52c-0.18,0-0.36-0.02-0.54-0.07c-0.16-0.04-15.75-4.09-34.46-10.35c-1.12-0.37-1.72-1.58-1.35-2.7
+				c0.37-1.12,1.58-1.72,2.7-1.35c18.56,6.21,34.02,10.22,34.18,10.26c1.14,0.3,1.83,1.46,1.53,2.6
+				C286.28,299.88,285.41,300.52,284.46,300.52z"/>
+		</g>
+		<g>
+			<path d="M175.41,344.26c-0.99,0-1.87-0.69-2.09-1.69L149,228.52c-0.25-1.15,0.49-2.29,1.64-2.54c1.15-0.25,2.29,0.49,2.54,1.64
+				l24.33,114.04c0.25,1.15-0.49,2.29-1.64,2.54C175.71,344.24,175.56,344.26,175.41,344.26z"/>
+		</g>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-13.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-13.svg
new file mode 100644
index 00000000000..0a0523ddca2
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-13.svg	
@@ -0,0 +1,118 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F6E1DC;}
+	.st1{fill:#F0AF9B;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#080717;}
+	.st4{fill:none;stroke:#85BAC6;stroke-width:0.4121;stroke-miterlimit:10;}
+	.st5{fill:#F2ECDE;}
+	.st6{fill:#85BAC6;}
+	.st7{fill:#FCDEDE;}
+	.st8{fill:#AAD2DC;}
+	.st9{fill:#F5F5F5;}
+	.st10{fill:#E8EDC5;}
+	.st11{fill:#B9D2D7;}
+	.st12{fill:#FFFFFF;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st13{fill:#CEE1E7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#FDEDE0;}
+	.st17{fill:#C7E1E0;}
+	.st18{fill:#EFCBBF;}
+	.st19{fill:#23285C;}
+	.st20{fill:#010101;}
+	.st21{fill:#C6E0F5;}
+	.st22{fill:#DDD6CC;}
+	.st23{fill:#E0E0E0;}
+	.st24{fill:#F3F3F3;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4659 172.5338)" class="st13" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<g>
+			<path d="M76.89,315.84c-0.2,0-0.4-0.03-0.6-0.09c-1.13-0.33-1.78-1.52-1.45-2.65l7.46-25.62c5.97-21.78,25.15-37.47,47.72-38.99
+				l93.97-6.34c16.04-1.09,31.54,5.04,42.5,16.81l28.02,32.5c0.77,0.89,0.67,2.24-0.22,3.01c-0.9,0.77-2.24,0.67-3.01-0.22
+				l-27.97-32.44c-10.03-10.76-24.29-16.39-39.04-15.4l-93.97,6.34c-20.76,1.4-38.4,15.82-43.9,35.89l-7.47,25.66
+				C78.66,315.23,77.81,315.84,76.89,315.84z"/>
+		</g>
+		<g>
+			<g>
+				<path d="M46.63,224.91c186.95,37.6,242.3-16.71,242.3-16.71s-3.13-35.51-21.93-39.69c-18.8-4.18-19.84-5.22-11.49-25.07
+					c8.36-19.84,20.16-31.51-9.4-34.47c-20.89-2.09-21.93-8.36-22.98-32.38c-1.04-24.02-38.64-27.15-52.22-20.89
+					c-13.58,6.27,0-9.4-12.53-12.53c-12.53-3.13-15.67,4.18-17.75,9.4c-2.09,5.22-28.2,7.31-33.42,26.11
+					c-5.22,18.8-26.11,16.71-18.8,48.04c7.31,31.33-3.13,18.8-11.49,21.93c-8.36,3.13-17.75,20.89-3.13,30.29
+					c14.62,9.4,14.42,20,2.09,17.75C52.9,192.54,46.63,224.91,46.63,224.91z"/>
+				<g>
+					<path class="st2" d="M145.07,251.02v24.52c0,18.01,15.83,31.93,33.69,29.62l0,0c16.91-2.18,28.57-18.06,25.59-34.85
+						l-14.37-80.91l-49.09-29.24L145.07,251.02z"/>
+					<path d="M174.94,307.55c-7.73,0-15.26-2.8-21.13-7.97c-6.91-6.07-10.87-14.84-10.87-24.04v-24.47l-4.18-90.81
+						c-0.04-0.79,0.36-1.53,1.04-1.93c0.67-0.41,1.52-0.41,2.19,0l49.09,29.24c0.53,0.32,0.9,0.85,1.01,1.46l14.37,80.91
+						c1.55,8.7-0.48,17.42-5.71,24.54c-5.23,7.12-12.94,11.67-21.7,12.8C177.67,307.46,176.3,307.55,174.94,307.55z M143.21,164.03
+						l3.99,86.9c0,0.03,0,0.07,0,0.1v24.52c0,7.97,3.43,15.56,9.42,20.83c5.99,5.27,13.96,7.69,21.86,6.68
+						c7.59-0.98,14.27-4.92,18.8-11.09c4.53-6.17,6.29-13.72,4.95-21.26l-14.2-79.95L143.21,164.03z"/>
+				</g>
+				<g>
+					<path class="st2" d="M204.34,141.03c-3.13-4.87-17.75-1.95-33.42-31.14c-15.67-29.19-16.71-33.09-27.15-29.19
+						c0,0-22.98,24.33-22.98,53.52c0,29.19,10.44,73.96,36.55,82.72c16.16,5.42,31.5-23.06,40.12-46.72
+						c0.71,0.49,1.48,0.9,2.31,1.19c6.16,2.16,12.98-2.2,15.85-9.5C227.57,131.44,204.62,141.47,204.34,141.03z"/>
+					<path d="M161.14,219.68c-1.79,0-3.3-0.32-4.48-0.72c-12.32-4.13-22.48-16.23-29.39-34.98c-5.4-14.64-8.62-33.24-8.62-49.76
+						c0-29.7,22.6-53.97,23.56-54.99c0.22-0.24,0.5-0.42,0.81-0.54c11.4-4.25,13.7,0.06,26.45,23.95l3.34,6.24
+						c10.86,20.24,21.06,24.47,27.15,27c2.11,0.88,3.89,1.61,5.16,2.78c2.97-0.8,9.89-2.49,13.75,1.81
+						c3.5,3.9,3.09,11.16-1.24,22.22c-3.39,8.63-11.36,13.25-18.54,10.73c-0.15-0.05-0.3-0.11-0.45-0.17
+						C183.82,212.66,169.47,219.68,161.14,219.68z M144.99,82.52c-2.76,3.08-22.07,25.59-22.07,51.7c0,26.64,9.53,72.11,35.1,80.69
+						c13.73,4.6,28.34-20.45,37.43-45.42c0.23-0.62,0.72-1.1,1.35-1.3c0.62-0.2,1.31-0.1,1.86,0.27c0.62,0.42,1.22,0.73,1.82,0.94
+						c4.89,1.71,10.66-1.92,13.15-8.26c4.77-12.16,3.33-16.37,2.04-17.8c-2.25-2.5-7.71-1.01-9.77-0.45
+						c-1.05,0.29-2.48,0.68-3.37-0.69l0,0c-0.53-0.82-2.16-1.5-4.23-2.36c-6.62-2.75-17.7-7.35-29.28-28.93l-3.34-6.25
+						C153.18,81.2,152.14,79.91,144.99,82.52z"/>
+				</g>
+				<g>
+					<path class="st6" d="M180.08,161.59c-0.65,0-1.31-0.04-1.96-0.11c-10.85-1.24-18.49-12.62-17.03-25.38
+						c0.7-6.11,3.36-11.64,7.48-15.58c4.24-4.03,9.5-5.92,14.83-5.31c10.85,1.24,18.49,12.62,17.03,25.38
+						c-0.7,6.11-3.36,11.64-7.48,15.58C189.23,159.71,184.73,161.59,180.08,161.59z M181.46,119.37c-3.55,0-7.03,1.48-9.94,4.25
+						c-3.41,3.25-5.6,7.85-6.19,12.97c-1.19,10.42,4.77,19.68,13.27,20.65c4.05,0.46,8.1-1.02,11.4-4.16
+						c3.41-3.25,5.6-7.85,6.19-12.97c1.19-10.42-4.77-19.68-13.27-20.65C182.43,119.4,181.94,119.37,181.46,119.37z"/>
+				</g>
+				<g>
+					<path class="st6" d="M133.34,159.24c-0.65,0-1.3-0.04-1.96-0.11c-10.85-1.24-18.49-12.62-17.03-25.38
+						c0.7-6.11,3.36-11.64,7.48-15.58c4.23-4.04,9.5-5.91,14.83-5.31c10.85,1.24,18.49,12.62,17.03,25.38
+						c-0.7,6.11-3.36,11.64-7.48,15.58C142.5,157.36,137.99,159.24,133.34,159.24z M134.72,117.02c-3.55,0-7.04,1.48-9.94,4.25
+						c-3.41,3.25-5.6,7.85-6.19,12.97c-1.19,10.42,4.77,19.68,13.27,20.65c4.06,0.47,8.1-1.02,11.4-4.16
+						c3.41-3.25,5.6-7.85,6.19-12.97l0,0c1.19-10.42-4.77-19.68-13.27-20.65C135.69,117.05,135.2,117.02,134.72,117.02z"/>
+				</g>
+				<g>
+					<path class="st3" d="M146.8,176.37c-1.34,0-2.64-0.55-3.67-1.57c-1.38-1.36-2.15-3.42-2.01-5.36c0.19-2.71,1.66-4.9,2.96-6.84
+						l0.2-0.3c3.96-5.94,7.05-12.41,9.2-19.21c1.19-3.77,2.64-9.4,1.54-14.69c-1.15-5.55-6.12-17.01-14.13-17.01
+						c-1.18,0-2.14-0.96-2.14-2.14c0-1.18,0.96-2.14,2.14-2.14c11.56,0,17.14,14.74,18.31,20.42c1.3,6.26-0.32,12.61-1.65,16.84
+						c-2.26,7.19-5.53,14.02-9.72,20.3l-0.21,0.31c-1.1,1.64-2.14,3.19-2.25,4.77c-0.05,0.7,0.26,1.53,0.75,2.02
+						c0.25,0.25,0.5,0.37,0.73,0.34c1.18-0.1,2.21,0.77,2.31,1.95c0.1,1.18-0.77,2.21-1.95,2.31
+						C147.08,176.37,146.94,176.37,146.8,176.37z"/>
+				</g>
+				<g>
+					<path class="st6" d="M160.26,138.8c-0.05,0-0.09,0-0.14,0l-7.88-0.52c-1.18-0.08-2.07-1.1-1.99-2.27
+						c0.08-1.18,1.08-2.06,2.27-1.99l7.88,0.52c1.18,0.08,2.07,1.1,1.99,2.27C162.32,137.93,161.38,138.8,160.26,138.8z"/>
+				</g>
+				<g>
+					<path d="M160.22,190.6c-1.08,0-2.22-0.15-3.42-0.48c-1.14-0.31-1.81-1.49-1.49-2.63c0.31-1.14,1.49-1.81,2.63-1.49
+						c8.89,2.46,12.94-10.42,12.98-10.55c0.35-1.13,1.54-1.76,2.67-1.42c1.13,0.35,1.76,1.54,1.42,2.67
+						C173.42,181.89,168.45,190.6,160.22,190.6z"/>
+				</g>
+				<g>
+					<path class="st3" d="M203.29,159.03c-1.12,0-2.06-0.87-2.13-2.01c-0.3-4.99,3.42-9.91,8.31-10.96
+						c1.16-0.25,2.29,0.48,2.54,1.64c0.25,1.15-0.48,2.29-1.64,2.54c-2.86,0.62-5.12,3.61-4.95,6.53c0.07,1.18-0.83,2.19-2,2.26
+						C203.38,159.03,203.34,159.03,203.29,159.03z"/>
+				</g>
+			</g>
+			<path d="M140.95,137.12c-0.18-3.53-2.1-6.31-4.3-6.2c-2.2,0.11-3.83,3.06-3.66,6.6c0.18,3.53,2.1,6.31,4.3,6.2
+				C139.49,143.61,141.12,140.65,140.95,137.12z"/>
+			<path d="M183.25,141.3c-0.18-3.53-2.1-6.31-4.3-6.2c-2.2,0.11-3.83,3.06-3.66,6.6c0.18,3.53,2.1,6.31,4.3,6.2
+				C181.79,147.78,183.42,144.83,183.25,141.3z"/>
+		</g>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-14.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-14.svg
new file mode 100644
index 00000000000..5c0672f704c
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-14.svg	
@@ -0,0 +1,99 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F6E1DC;}
+	.st1{fill:#F0AF9B;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#080717;}
+	.st4{fill:none;stroke:#85BAC6;stroke-width:0.4121;stroke-miterlimit:10;}
+	.st5{fill:#F2ECDE;}
+	.st6{fill:#85BAC6;}
+	.st7{fill:#FCDEDE;}
+	.st8{fill:#AAD2DC;}
+	.st9{fill:#F5F5F5;}
+	.st10{fill:#E8EDC5;}
+	.st11{fill:#B9D2D7;}
+	.st12{fill:#FFFFFF;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st13{fill:#CEE1E7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#FDEDE0;}
+	.st17{fill:#C7E1E0;}
+	.st18{fill:#EFCBBF;}
+	.st19{fill:#23285C;}
+	.st20{fill:#010101;}
+	.st21{fill:#C6E0F5;}
+	.st22{fill:#DDD6CC;}
+	.st23{fill:#E0E0E0;}
+	.st24{fill:#F3F3F3;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4659 172.5338)" class="st14" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<g>
+			<path d="M99.62,328.15c-1.11,0-2.05-0.86-2.13-1.98l-2-27.59c-1.66-22.93,13.32-43.62,35.63-49.2l109.43-27.36
+				c20-4.99,40.73,3.42,51.58,20.95l19.63,31.71c0.62,1,0.31,2.32-0.69,2.94c-1,0.62-2.32,0.31-2.94-0.69l-19.63-31.71
+				c-9.87-15.94-28.72-23.6-46.91-19.05l-109.43,27.36c-20.29,5.07-33.92,23.89-32.4,44.75l2,27.59c0.08,1.18-0.8,2.2-1.98,2.29
+				C99.72,328.15,99.67,328.15,99.62,328.15z"/>
+		</g>
+		<path d="M232.93,226.57c-19.77,6.59-53.92,17.03-77.57,9.46c-23.65-7.57-64.33-7.57-46.35-29.33c17.97-21.76,29.33-23.65,22.7-35
+			c-6.62-11.35-53.92-67.16-1.89-90.81c52.03-23.65,123.92,14.19,142.84,51.08c18.92,36.89-20.81,33.11-13.24,45.41
+			c7.57,12.3,19.87,18.92,9.46,28.38C258.47,215.22,247.12,221.84,232.93,226.57z"/>
+		<g>
+			<path class="st2" d="M174.2,172.89l-0.87,84.26c0,0,39.06,11.67,43.24-22.15c0.09-0.76,6.21-31.2,6.21-31.2
+				S227.19,160.3,174.2,172.89z"/>
+			<path d="M187.82,261.25c-8.07,0-14.62-1.91-15.09-2.05c-0.91-0.27-1.53-1.12-1.53-2.07l0.87-84.26c0.01-0.98,0.69-1.83,1.64-2.06
+				c18.36-4.36,32.17-2.64,41.04,5.13c11.81,10.34,10.23,27.35,10.16,28.07c-2.44,12.18-6.08,30.34-6.22,31.29
+				c-1.18,9.56-5.16,16.64-11.83,21C200.98,260.14,193.96,261.25,187.82,261.25z M175.49,255.5c4.71,1.1,19.14,3.7,29.04-2.78
+				c5.56-3.64,8.9-9.69,9.92-17.98c0.1-0.78,4.8-24.2,6.24-31.36l0,0c-0.01,0,1.36-15.39-8.78-24.24
+				c-7.52-6.57-19.49-8.09-35.59-4.54L175.49,255.5z"/>
+		</g>
+		<path d="M147.44,93.57c0,0-61.72,10.29-74.32,2.98c-17.48-10.13-17.49-44.57,3.68-51.86C97.96,37.4,133.16,48.97,147.44,93.57z"/>
+		<g>
+			<path class="st2" d="M184.3,193.63c9.87,8.28,32.74,23.18,48.77,16.58c24.92-10.25,21.57-65.55,14.94-84.8
+				c-6.63-19.25-12.65-43.01-56.98-34.21c-44.33,8.8-16.14,28.16-16.14,28.16s1.12,15.76-4.95,20
+				C163.86,143.62,131.78,149.58,184.3,193.63z"/>
+			<path d="M224.23,214c-18.35,0-38.67-16.53-41.3-18.73c-21.65-18.16-31.55-31.95-30.28-42.17c1.01-8.07,8.64-11.76,13.21-13.97
+				c1.21-0.58,2.26-1.09,2.85-1.5c3.49-2.44,4.35-11.4,4.1-17.13c-2.64-2.04-10.22-8.63-8.69-16.08
+				c1.45-7.04,10.12-12.05,26.49-15.3c44.35-8.8,52.25,14.49,58.6,33.21l0.82,2.4c7.07,20.55,10.17,76.64-16.15,87.47
+				C230.81,213.46,227.55,214,224.23,214z M208.4,91.44c-4.88,0-10.49,0.59-16.96,1.87c-17.82,3.54-22.42,8.46-23.14,11.97
+				c-1.22,5.95,7.7,12.27,7.79,12.33c0.54,0.37,0.88,0.96,0.92,1.61c0.12,1.74,1.01,17.11-5.86,21.91
+				c-0.87,0.61-2.06,1.18-3.44,1.85c-4.26,2.06-10.1,4.88-10.82,10.65c-0.73,5.88,3.67,17.31,28.78,38.37l0,0
+				c10.52,8.82,32.17,22.18,46.58,16.24c22.52-9.26,20.58-62.24,13.74-82.13l-0.83-2.42C239.77,107.79,234.21,91.44,208.4,91.44z"/>
+		</g>
+		<g>
+			<path d="M232.27,163.11c-0.89,0-1.72-0.56-2.02-1.44c-0.38-1.12,0.21-2.33,1.33-2.72c1.82-0.63,3.88-3.36,5.14-5.52
+				c-2.04-2.64-6.53-9.45-7.16-19.03c-0.7-10.65,9.58-15.47,15.11-16.53c1.16-0.22,2.28,0.54,2.5,1.7c0.22,1.16-0.53,2.28-1.69,2.5
+				l0,0c-0.5,0.1-12.28,2.52-11.65,12.05c0.69,10.63,6.96,17.54,7.02,17.6c0.6,0.65,0.74,1.6,0.35,2.39
+				c-0.36,0.74-3.67,7.31-8.23,8.88C232.73,163.08,232.5,163.11,232.27,163.11z"/>
+		</g>
+		<g>
+			<path d="M217.61,174.09c-8.93,0-17.11-9.34-17.52-9.81c-0.77-0.89-0.67-2.24,0.22-3.01c0.89-0.77,2.24-0.67,3.01,0.22
+				c0.1,0.11,9.82,11.18,17.53,7.63c1.07-0.49,2.34-0.02,2.83,1.05c0.49,1.07,0.02,2.34-1.05,2.83
+				C220.96,173.77,219.27,174.09,217.61,174.09z"/>
+		</g>
+		<path d="M208.63,136.81c-0.2-3.01-2.12-5.32-4.28-5.18c-2.16,0.15-3.75,2.7-3.55,5.71c0.2,3.01,2.12,5.32,4.28,5.18
+			C207.24,142.37,208.83,139.81,208.63,136.81z"/>
+		<path d="M245.87,135.56c-0.2-3.01-2.12-5.32-4.28-5.18c-2.16,0.15-3.75,2.7-3.55,5.71c0.2,3.01,2.12,5.32,4.28,5.18
+			C244.49,141.12,246.08,138.56,245.87,135.56z"/>
+		<path d="M142.4,139.71c0,0.98,0.05,1.95,0.13,2.91c5.69,1.45,11.76,2.27,18.08,2.27c31.73,0,57.46-19.82,57.46-44.26
+			c0-6.11-1.61-11.93-4.51-17.23C171.97,92.02,142.4,113.98,142.4,139.71z"/>
+		<path class="st2" d="M170.78,153.88c0,8.62-6.99,15.61-15.61,15.61c-8.62,0-15.61-6.99-15.61-15.61c0-8.62,6.99-15.61,15.61-15.61
+			C163.79,138.27,170.78,145.26,170.78,153.88z"/>
+		<g>
+			<path d="M99.31,212.56c-0.86,0-1.68-0.53-2-1.39c-2.15-5.72,1.46-11.73,5.55-15.45c1.19-1.08,2.46-2.08,3.69-3.05
+				c2.64-2.09,5.14-4.06,6.74-6.66c2.42-3.94,2.72-9.48,0.81-15.22c-1.46-4.38-3.85-8.33-6.39-12.51c-0.53-0.87-1.06-1.75-1.58-2.62
+				c-4.56-7.69-10.66-19.39-10.85-32.2c-0.19-12.87,6.34-24.78,16.26-29.63c1.06-0.52,2.34-0.08,2.86,0.98
+				c0.52,1.06,0.08,2.34-0.98,2.86c-9.78,4.78-14.01,16.36-13.87,25.73c0.14,8.98,3.39,18.54,10.25,30.09
+				c0.51,0.87,1.04,1.73,1.56,2.59c2.55,4.2,5.18,8.54,6.79,13.38c2.31,6.94,1.86,13.79-1.23,18.8c-2,3.25-4.91,5.55-7.73,7.78
+				c-1.22,0.97-2.38,1.88-3.46,2.86c-3.05,2.77-5.82,7.06-4.42,10.78c0.42,1.1-0.14,2.34-1.25,2.75
+				C99.81,212.51,99.55,212.56,99.31,212.56z"/>
+		</g>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-15.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-15.svg
new file mode 100644
index 00000000000..7c6159c5bc5
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-15.svg	
@@ -0,0 +1,90 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F6E1DC;}
+	.st1{fill:#F0AF9B;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#080717;}
+	.st4{fill:none;stroke:#85BAC6;stroke-width:0.4121;stroke-miterlimit:10;}
+	.st5{fill:#F2ECDE;}
+	.st6{fill:#85BAC6;}
+	.st7{fill:#FCDEDE;}
+	.st8{fill:#AAD2DC;}
+	.st9{fill:#F5F5F5;}
+	.st10{fill:#E8EDC5;}
+	.st11{fill:#B9D2D7;}
+	.st12{fill:#FFFFFF;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st13{fill:#CEE1E7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#FDEDE0;}
+	.st17{fill:#C7E1E0;}
+	.st18{fill:#EFCBBF;}
+	.st19{fill:#23285C;}
+	.st20{fill:#010101;}
+	.st21{fill:#C6E0F5;}
+	.st22{fill:#DDD6CC;}
+	.st23{fill:#E0E0E0;}
+	.st24{fill:#F3F3F3;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4659 172.5338)" class="st15" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<path d="M51.17,295.14c31.17,30.86,74.04,49.93,121.36,49.93c51.78,0,98.19-22.84,129.82-58.96
+			c-11.13-14.29-33.18-24.79-47.04-35.56c-21.54-16.74-19.73-31.95-0.01-68.73c19.72-36.79,42.48-52.7,16.65-92.6
+			c-20.81-32.15-88.69-45.92-113.29-42.75C78.49,56.8,55.98,144.33,60.34,169.81c4.36,25.48,37.14,30.19,27.54,56.15
+			C81.85,242.26,62.96,267.79,51.17,295.14z"/>
+		<path class="st2" d="M172.53,345.07c43.07,0,82.42-15.82,112.65-41.91c-11.78-23.34-33.76-48.44-74.69-57.3
+			c-83.72-18.12-126.24,10.51-146.1,43.03c-2.47,4.04-4.69,8.19-6.71,12.37C88.19,328.49,128.42,345.07,172.53,345.07z"/>
+		<g>
+			<path class="st2" d="M209.52,163.06l7.82,90.04c-10.45,10.87-23,17.38-36.67,17.85c-13.67,0.46-26.63-5.18-37.8-15.31
+				l-2.85-83.88L209.52,163.06z"/>
+			<path d="M179.12,273.11c-13.2,0-26.2-5.47-37.68-15.89c-0.43-0.39-0.68-0.93-0.7-1.51l-2.85-83.88
+				c-0.04-1.18,0.88-2.17,2.06-2.21c1.24-0.03,2.17,0.88,2.21,2.06l2.82,82.97c10.95,9.69,23.27,14.59,35.62,14.16
+				c12.35-0.42,24.27-6.12,34.53-16.5l-7.73-89.07c-0.1-1.18,0.77-2.21,1.94-2.31c1.17-0.12,2.21,0.77,2.31,1.94l7.82,90.04
+				c0.05,0.61-0.16,1.22-0.59,1.67c-11.2,11.64-24.38,18.03-38.14,18.5C180.2,273.1,179.66,273.11,179.12,273.11z"/>
+		</g>
+		<path class="st2" d="M188.95,160.38c0.52,15.42,13.45,27.5,28.88,26.98c15.42-0.52,27.5-13.45,26.98-28.88
+			c-0.52-15.42-13.45-27.5-28.88-26.98C200.5,132.03,188.42,144.96,188.95,160.38z"/>
+		<g>
+			<path class="st2" d="M175.21,190.36c0,0-43.19,31.76-62.48,12.61c-8.72-8.66-11.55-29.83-10.82-55.55
+				c0.03-0.91-12.32,3.14-10.06-5.86c7.09-28.27,25.38-64,47.43-82.78c0,0,19.22,85.55,60.07,87.66L175.21,190.36z"/>
+			<path d="M129.16,211.27c-6.71,0-12.99-1.87-17.94-6.78c-8.22-8.16-12.09-26.64-11.5-54.93c-2.71,0.25-6.73,0.45-8.95-2.11
+				c-1.34-1.55-1.68-3.71-1-6.41c6.59-26.27,24.46-63.73,48.12-83.89c0.57-0.49,1.35-0.64,2.06-0.4c0.71,0.24,1.24,0.83,1.41,1.56
+				c0.19,0.84,19.33,84,58.09,85.99c1.18,0.06,2.09,1.07,2.02,2.24c-0.06,1.18-1.11,2.08-2.24,2.02
+				c-17.8-0.92-33.67-16.35-47.18-45.86c-7.54-16.48-12.2-32.99-14-39.98c-21.65,20.01-37.95,54.71-44.13,79.36
+				c-0.18,0.72-0.41,2,0.09,2.58c0.94,1.09,4.41,0.74,5.9,0.59c1.61-0.16,2.58-0.26,3.43,0.54c0.45,0.42,0.73,1.08,0.71,1.69
+				c-0.79,27.91,2.73,46.57,10.19,53.98c17.77,17.64,59.29-12.51,59.71-12.82c0.95-0.7,2.29-0.5,2.99,0.46
+				c0.7,0.95,0.49,2.29-0.46,2.99C175.1,193.1,150.07,211.27,129.16,211.27z"/>
+		</g>
+		<g>
+			<path d="M183.34,157.26c-0.44,0-0.88-0.13-1.26-0.42c-29.12-21.42-47.14-57.19-47.05-93.34c0-1.18,0.96-2.13,2.14-2.13
+				c0,0,0,0,0.01,0c1.18,0,2.13,0.96,2.13,2.14c-0.09,34.81,17.27,69.25,45.3,89.89c0.95,0.7,1.15,2.04,0.45,2.99
+				C184.64,156.96,183.99,157.26,183.34,157.26z"/>
+		</g>
+		<g>
+			<path d="M214.01,168.66c-0.05,0-0.1,0-0.15-0.01c-1.18-0.08-2.06-1.11-1.98-2.28c0.61-8.6,5.68-18.56,14.19-20.96
+				c1.14-0.32,2.32,0.34,2.64,1.48c0.32,1.14-0.34,2.32-1.48,2.64c-6.54,1.84-10.59,10.2-11.08,17.14
+				C216.06,167.8,215.12,168.66,214.01,168.66z"/>
+		</g>
+		<g>
+			<path d="M141.46,176.96c-8.74,0-19.7-9.77-21.12-11.07c-0.54-0.49-0.79-1.22-0.66-1.94c0.12-0.72,0.6-1.32,1.27-1.6l26.89-11.37
+				c0.61-0.26,1.31-0.22,1.88,0.11c0.58,0.33,0.97,0.9,1.06,1.56c1.85,12.94,0.22,20.56-4.98,23.3
+				C144.46,176.66,142.99,176.96,141.46,176.96z M125.8,164.94c5.7,4.56,13.94,9.38,18.01,7.24c2.97-1.57,4.05-7.26,3.09-16.15
+				L125.8,164.94z"/>
+		</g>
+		<path d="M119.87,127.41c-1.62,3.63-0.82,7.52,1.79,8.68c2.61,1.17,6.04-0.83,7.66-4.46c1.62-3.63,0.82-7.52-1.79-8.68
+			C124.92,121.79,121.49,123.78,119.87,127.41z"/>
+		<g>
+			<path d="M137.35,120.44c-0.7,0-1.38-0.34-1.79-0.97c-1.91-2.92-4.49-5.43-7.45-7.26c-1-0.62-1.32-1.94-0.7-2.94
+				c0.62-1,1.94-1.32,2.94-0.7c3.5,2.16,6.54,5.12,8.79,8.55c0.65,0.99,0.37,2.31-0.62,2.96
+				C138.15,120.33,137.75,120.44,137.35,120.44z"/>
+		</g>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-16.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-16.svg
new file mode 100644
index 00000000000..96389676f9f
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-16.svg	
@@ -0,0 +1,106 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F6E1DC;}
+	.st1{fill:#F0AF9B;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#080717;}
+	.st4{fill:none;stroke:#85BAC6;stroke-width:0.4121;stroke-miterlimit:10;}
+	.st5{fill:#F2ECDE;}
+	.st6{fill:#85BAC6;}
+	.st7{fill:#FCDEDE;}
+	.st8{fill:#AAD2DC;}
+	.st9{fill:#F5F5F5;}
+	.st10{fill:#E8EDC5;}
+	.st11{fill:#B9D2D7;}
+	.st12{fill:#FFFFFF;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st13{fill:#CEE1E7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#FDEDE0;}
+	.st17{fill:#C7E1E0;}
+	.st18{fill:#EFCBBF;}
+	.st19{fill:#23285C;}
+	.st20{fill:#010101;}
+	.st21{fill:#C6E0F5;}
+	.st22{fill:#DDD6CC;}
+	.st23{fill:#E0E0E0;}
+	.st24{fill:#F3F3F3;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4659 172.5338)" class="st22" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<path class="st3" d="M224.65,140.5c0,0,6.98-34.42,7.44-49.33c0.45-14.91-11.31-24.64-29.71-35.92
+			c-18.4-11.27-15.99-8.71-10.37-11.41c5.63-2.69-10.59-10.46-33.47-6.76c-22.88,3.71-61.19,17.85-45.59,58.5
+			C128.55,136.23,213.21,176.89,224.65,140.5z"/>
+		<g>
+			<path class="st2" d="M248.31,230.56c0,0-15.57-4.1-23.15-18.87c-7.59-14.77-11.66-31.74-6.39-41.52
+				c5.27-9.79,18.5-39.36,5.28-45.24c-8.78-3.9-12.26,10.59-16.66,16.58c-4.39,5.99-4.24,1.02-5.33-7.24
+				c-1.09-8.26-7.5-23.76-14.66-27.42c-7.16-3.66-1.21-29.31,4.86-33.91c6.07-4.6-22.22,0.85-40.93-0.48
+				c-18.71-1.34-26.09-4.05-37.43,10.34c-11.34,14.39-14.36,31.71-13.57,49.9c0.78,18.2,13.09,60.09,13.96,69.3
+				c0.87,9.22,3.87,14.72,19.22,17.51c3.25,0.59,8.41,5.04,10.15,16.65c4.73,31.52,14.94,38.73,52.8,34.68
+				C218.54,268.47,233.51,255.86,248.31,230.56z"/>
+			<path d="M179.85,274c-25.5,0-34.13-9.77-38.29-37.53c-1.63-10.84-6.22-14.46-8.42-14.86c-16.29-2.96-20.02-9.36-20.97-19.41
+				c-0.32-3.34-2.32-11.63-4.63-21.23c-3.94-16.34-8.84-36.67-9.34-48.17c-0.92-21.39,3.67-38.17,14.03-51.32
+				c10.7-13.58,18.65-12.9,33.07-11.65c1.92,0.17,3.97,0.34,6.19,0.5c8.21,0.58,18.41-0.17,26.61-0.78
+				c12.92-0.95,16.01-1.08,16.97,1.46c0.33,0.88,0.34,2.23-1.52,3.64c-3.56,2.7-7.97,16.43-7.2,25.19c0.24,2.71,0.98,4.57,2.03,5.11
+				c8.44,4.31,14.77,21.2,15.81,29.05c0.14,1.06,0.26,2.06,0.37,3c0.16,1.34,0.34,2.87,0.54,4c0.17-0.21,0.36-0.46,0.57-0.75
+				c1.05-1.43,2.1-3.51,3.21-5.7c3.25-6.44,7.71-15.27,16.04-11.56c2.9,1.29,4.93,3.57,6.02,6.77c4.54,13.27-8.76,38.59-10.29,41.43
+				c-4.39,8.14-1.93,23.29,6.41,39.53c7.03,13.71,21.65,17.75,21.79,17.79c0.64,0.17,1.17,0.64,1.43,1.25
+				c0.25,0.62,0.21,1.32-0.13,1.89c-15.78,26.97-31.26,38.94-53.46,41.31C190.39,273.63,184.8,274,179.85,274z M135.05,73.48
+				c-7.72,0-12.68,2.04-19.46,10.65c-9.7,12.31-13.99,28.17-13.12,48.49c0.48,11.08,5.33,31.19,9.23,47.35
+				c2.45,10.16,4.39,18.19,4.73,21.83c0.72,7.64,2.32,12.85,17.48,15.61c4.32,0.79,10.03,6.08,11.88,18.43
+				c4.59,30.63,14.03,36.77,50.46,32.87c20.05-2.15,34.34-12.91,48.88-36.96c-4.99-1.91-15.78-7.23-21.86-19.08
+				c-7.03-13.7-12.4-32.32-6.37-43.51c4.87-9.04,13.23-28.62,10.01-38.02c-0.7-2.06-1.92-3.45-3.72-4.25
+				c-4.29-1.91-6.94,2.56-10.49,9.59c-1.19,2.36-2.32,4.58-3.58,6.3c-1.54,2.1-3.26,3.98-5.38,3.42c-2.47-0.65-2.81-3.51-3.43-8.7
+				c-0.11-0.92-0.23-1.91-0.36-2.95c-1.05-7.97-7.32-22.64-13.51-25.8c-2.49-1.27-3.95-4.15-4.34-8.54
+				c-0.7-8.02,2.44-21.14,6.97-27.01c-2.71,0.04-6.85,0.34-10.64,0.62c-8.34,0.62-18.71,1.39-27.23,0.78
+				c-2.24-0.16-4.31-0.34-6.25-0.51C141.12,73.75,137.9,73.48,135.05,73.48z"/>
+		</g>
+		<path class="st3" d="M205.24,181.04c0,0-15.23,22.5-24.58,28.33c-9.36,5.84-41.52,6.39-52.63,6.81
+			c-11.11,0.43,3.51-2.19,26.45,11.14c22.93,13.32,51.49,36.96,54.13,25.56c2.64-11.4,7.01-32.41,4.97-40.89
+			C211.54,203.52,205.24,181.04,205.24,181.04z"/>
+		<g>
+			<path d="M129.26,159.59c-0.06,0-0.12,0-0.18-0.01c-8.79-0.71-15.42-7.89-15.7-8.19c-0.53-0.59-0.7-1.42-0.43-2.16l11.83-32.82
+				c0.4-1.11,1.62-1.68,2.74-1.29c1.11,0.4,1.68,1.63,1.29,2.74l-11.37,31.53c1.89,1.74,6.55,5.49,11.99,5.94
+				c1.18,0.1,2.05,1.13,1.96,2.3C131.3,158.74,130.36,159.59,129.26,159.59z"/>
+		</g>
+		<g>
+			<path d="M167.55,109.66c-0.43,0-0.87-0.13-1.25-0.4c-8.25-5.96-12.66-4.19-18.76-1.74c-1.01,0.41-2.05,0.82-3.13,1.21
+				c-1.11,0.4-2.33-0.17-2.74-1.28c-0.4-1.11,0.17-2.33,1.28-2.74c1.03-0.37,2.02-0.77,2.99-1.16c6.24-2.51,12.69-5.09,22.85,2.25
+				c0.96,0.69,1.17,2.03,0.48,2.98C168.86,109.35,168.21,109.66,167.55,109.66z"/>
+		</g>
+		<g>
+			<path d="M97.89,114.45c-0.27,0-0.55-0.05-0.82-0.16c-1.09-0.45-1.6-1.7-1.15-2.79c1.6-3.83,7.32-7.15,11.54-6.7
+				c2.32,0.25,4.32,1.19,6.25,2.1c1.69,0.79,3.28,1.55,4.88,1.72c1.17,0.12,2.02,1.18,1.9,2.35c-0.12,1.17-1.17,2.03-2.35,1.9
+				c-2.32-0.25-4.32-1.19-6.25-2.1c-1.69-0.79-3.28-1.54-4.89-1.72c-2.36-0.25-6.25,1.96-7.14,4.1
+				C99.52,113.95,98.73,114.45,97.89,114.45z"/>
+		</g>
+		<path d="M145.64,127.04c0,3.15,1.84,5.71,4.11,5.71c2.27,0,4.11-2.56,4.11-5.71c0-3.15-1.84-5.71-4.11-5.71
+			C147.48,121.33,145.64,123.88,145.64,127.04z"/>
+		<path d="M104.51,127.06c0,3.15,1.84,5.71,4.11,5.71c2.27,0,4.11-2.56,4.11-5.71c0-3.15-1.84-5.71-4.11-5.71
+			C106.35,121.35,104.51,123.91,104.51,127.06z"/>
+		<g>
+			<path d="M139.12,190.7c-5.56,0-14.97-2.3-17.46-17.24c-0.1-0.59,0.05-1.19,0.42-1.66c0.37-0.47,0.91-0.77,1.51-0.82
+				c6.43-0.55,21.72-1.62,24.92,0.3c1.98,1.19,2.6,4.2,1.69,8.25c-1.16,5.18-4.42,10.61-9.08,11.07
+				C140.55,190.66,139.87,190.7,139.12,190.7z M126.35,175.05c2.51,10.21,9.09,11.83,14.35,11.3c1.35-0.14,2.87-1.67,4.05-4.1
+				c1.58-3.24,1.82-6.47,1.44-7.36C144.26,174.18,134.94,174.4,126.35,175.05z"/>
+		</g>
+		<g>
+			<path d="M69.54,309.68c-0.23,0-0.46-0.04-0.68-0.11c-1.12-0.38-1.72-1.59-1.34-2.71L78,275.74c7.28-21.59,26.6-37.23,49.24-39.84
+				l16.19-1.87c1.17-0.15,2.23,0.7,2.37,1.88c0.14,1.17-0.7,2.23-1.88,2.37l-16.19,1.87c-21,2.42-38.93,16.93-45.68,36.96
+				l-10.48,31.11C71.27,309.11,70.43,309.68,69.54,309.68z"/>
+		</g>
+		<g>
+			<path d="M326.05,251.41c-0.56,0-1.13-0.22-1.55-0.67c-8.34-8.78-19.58-14.07-31.65-14.92l-44.69-3.13
+				c-1.18-0.08-2.06-1.1-1.98-2.28c0.08-1.18,1.08-2.05,2.28-1.98l44.69,3.13c13.14,0.92,25.38,6.69,34.45,16.24
+				c0.81,0.86,0.78,2.21-0.08,3.02C327.11,251.22,326.58,251.41,326.05,251.41z"/>
+		</g>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-17.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-17.svg
new file mode 100644
index 00000000000..dc8aa54d5cc
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-17.svg	
@@ -0,0 +1,97 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F6E1DC;}
+	.st1{fill:#F0AF9B;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#080717;}
+	.st4{fill:none;stroke:#85BAC6;stroke-width:0.4121;stroke-miterlimit:10;}
+	.st5{fill:#F2ECDE;}
+	.st6{fill:#85BAC6;}
+	.st7{fill:#FCDEDE;}
+	.st8{fill:#AAD2DC;}
+	.st9{fill:#F5F5F5;}
+	.st10{fill:#E8EDC5;}
+	.st11{fill:#B9D2D7;}
+	.st12{fill:#FFFFFF;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st13{fill:#CEE1E7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#FDEDE0;}
+	.st17{fill:#C7E1E0;}
+	.st18{fill:#EFCBBF;}
+	.st19{fill:#23285C;}
+	.st20{fill:#010101;}
+	.st21{fill:#C6E0F5;}
+	.st22{fill:#DDD6CC;}
+	.st23{fill:#E0E0E0;}
+	.st24{fill:#F3F3F3;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4659 172.5338)" class="st0" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<rect x="155.68" y="185.25" class="st2" width="42.79" height="69.94"/>
+		<g>
+			<path d="M198.47,257.33h-42.79c-1.18,0-2.14-0.96-2.14-2.14v-69.94c0-1.18,0.96-2.14,2.14-2.14h42.79c1.18,0,2.14,0.96,2.14,2.14
+				v69.94C200.61,256.37,199.65,257.33,198.47,257.33z M157.82,253.05h38.51v-65.67h-38.51V253.05z"/>
+		</g>
+		<g>
+			<ellipse transform="matrix(0.9614 -0.2752 0.2752 0.9614 -15.938 39.7233)" cx="133.57" cy="76.65" rx="46.88" ry="46.88"/>
+			<ellipse transform="matrix(0.9959 -0.0901 0.0901 0.9959 -7.0193 16.9832)" cx="184.53" cy="86.21" rx="28.38" ry="30.24"/>
+			<ellipse transform="matrix(0.4112 -0.9115 0.9115 0.4112 27.2871 268.1053)" cx="221.18" cy="112.93" rx="35.73" ry="35.73"/>
+			<ellipse transform="matrix(0.8051 -0.5931 0.5931 0.8051 -51.7704 160.0943)" cx="217.74" cy="158.83" rx="26.99" ry="26.99"/>
+			<path d="M134.26,121.69c1.14,12.59-8.14,23.72-20.73,24.86c-12.59,1.14-23.72-8.14-24.86-20.73s8.14-23.72,20.73-24.86
+				C122,99.82,133.12,109.1,134.26,121.69z"/>
+		</g>
+		<path class="st2" d="M127.91,104.13c0,0-35.56,84.05-4.85,106.68c30.71,22.63,54.15,12.12,70.31,0
+			c16.16-12.12,21.01-28.29,21.01-28.29s-13.74,5.66-13.74-8.08c0-13.74,8.89-39.6,2.42-48.49
+			C196.61,117.06,173.17,97.66,127.91,104.13z"/>
+		<g>
+			<path d="M158.65,226.22c-12.15,0-24.48-4.57-36.86-13.69c-13.47-9.93-16.81-31.46-9.92-63.99c5.04-23.77,13.97-45.03,14.06-45.24
+				c0.46-1.09,1.71-1.59,2.8-1.14c1.09,0.46,1.6,1.71,1.14,2.8c-0.35,0.83-34.56,82.76-5.55,104.13
+				c17.89,13.18,34.83,16.24,51.8,9.34c1.09-0.45,2.34,0.08,2.78,1.17c0.44,1.09-0.08,2.34-1.17,2.78
+				C171.44,224.94,165.07,226.22,158.65,226.22z"/>
+		</g>
+		<path class="st2" d="M218.36,148.58c0.69,3.4,1.09,6.96,1.09,10.65c0,6.58-1.2,12.77-3.28,18.27c8.09-0.81,14.38-7.06,14.38-14.65
+			C230.55,155.97,225.36,150.2,218.36,148.58z"/>
+		<g>
+			<path d="M123.14,126.02c-0.55,0-1.1-0.21-1.52-0.63c-0.83-0.84-0.82-2.19,0.01-3.02c3.98-3.95,13.79-9.37,22.42-1.61
+				c0.88,0.79,0.95,2.14,0.16,3.02c-0.79,0.88-2.14,0.95-3.02,0.16c-7.78-6.98-16.2,1.12-16.56,1.47
+				C124.22,125.82,123.68,126.02,123.14,126.02z"/>
+		</g>
+		<path d="M136.51,136.13c-1,2.12-3.04,3.26-4.55,2.55c-1.51-0.71-1.93-3.01-0.93-5.13c1-2.12,3.04-3.26,4.55-2.55
+			C137.09,131.72,137.51,134.01,136.51,136.13z"/>
+		<g>
+			<path d="M174.64,131.36c-0.79,0-1.55-0.44-1.92-1.2c-4.59-9.4-15.44-5.04-15.9-4.85c-1.09,0.45-2.34-0.07-2.79-1.15
+				c-0.45-1.09,0.06-2.33,1.14-2.79c5.17-2.17,16.29-3.51,21.38,6.92c0.52,1.06,0.08,2.34-0.98,2.86
+				C175.27,131.29,174.95,131.36,174.64,131.36z"/>
+		</g>
+		<path d="M165.4,139.36c-1,2.12-3.04,3.26-4.55,2.55c-1.51-0.71-1.93-3.01-0.93-5.13c1-2.12,3.04-3.26,4.55-2.55
+			C165.98,134.95,166.4,137.25,165.4,139.36z"/>
+		<g>
+			<path class="st3" d="M146.9,155.97c-0.4,0-0.8-0.11-1.15-0.34l-8.49-5.46c-0.98-0.63-1.28-1.93-0.66-2.92l7.88-12.73
+				c0.62-1,1.94-1.31,2.94-0.69c1,0.62,1.31,1.94,0.69,2.94l-6.77,10.94l6.72,4.32c0.99,0.64,1.28,1.96,0.64,2.95
+				C148.29,155.62,147.61,155.97,146.9,155.97z"/>
+		</g>
+		<g>
+			<path class="st3" d="M152.11,174.8c-0.7,0-1.13-0.05-1.22-0.06c-1.17-0.15-2-1.21-1.86-2.39c0.15-1.17,1.23-1.98,2.37-1.86
+				c0.59,0.06,13.27,1.2,22.69-17.62c0.53-1.05,1.81-1.48,2.87-0.96c1.06,0.53,1.48,1.81,0.96,2.87
+				C168.68,173.25,156.07,174.8,152.11,174.8z"/>
+		</g>
+		<path d="M197.36,262.94h-45.04c-2.74,0-4.96-2.22-4.96-4.96v-24.03c0-2.74,2.22-4.96,4.96-4.96h45.04c2.74,0,4.96,2.22,4.96,4.96
+			v24.03C202.32,260.72,200.1,262.94,197.36,262.94z"/>
+		<path d="M230.39,254.82H120.7c-21.57,0-39.06,17.49-39.06,39.06v25.29c26.4,16.4,57.53,25.9,90.9,25.9
+			c35.93,0,69.29-10.99,96.92-29.79v-21.4C269.45,272.31,251.96,254.82,230.39,254.82z"/>
+		<g>
+			<path d="M186.97,217.36c-0.71,0-1.41-0.36-1.81-1.01c-0.62-1-0.32-2.32,0.68-2.94c2.05-1.28,4.1-2.69,6.25-4.31
+				c15.37-11.52,20.2-27.04,20.25-27.19c0.34-1.13,1.53-1.77,2.66-1.43c1.13,0.34,1.77,1.53,1.43,2.66
+				c-0.21,0.69-5.24,16.98-21.78,29.38c-2.25,1.69-4.4,3.17-6.55,4.51C187.75,217.25,187.36,217.36,186.97,217.36z"/>
+		</g>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-18.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-18.svg
new file mode 100644
index 00000000000..33daef83bed
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-18.svg	
@@ -0,0 +1,128 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F6E1DC;}
+	.st1{fill:#F0AF9B;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#080717;}
+	.st4{fill:none;stroke:#85BAC6;stroke-width:0.4121;stroke-miterlimit:10;}
+	.st5{fill:#F2ECDE;}
+	.st6{fill:#85BAC6;}
+	.st7{fill:#FCDEDE;}
+	.st8{fill:#AAD2DC;}
+	.st9{fill:#F5F5F5;}
+	.st10{fill:#E8EDC5;}
+	.st11{fill:#B9D2D7;}
+	.st12{fill:#FFFFFF;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st13{fill:#CEE1E7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#FDEDE0;}
+	.st17{fill:#C7E1E0;}
+	.st18{fill:#EFCBBF;}
+	.st19{fill:#23285C;}
+	.st20{fill:#010101;}
+	.st21{fill:#C6E0F5;}
+	.st22{fill:#DDD6CC;}
+	.st23{fill:#E0E0E0;}
+	.st24{fill:#F3F3F3;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4659 172.5338)" class="st5" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<g>
+			<path d="M262.36,151.63c-7.6-14.95-17.27-26.77-26.6-34.15c4.13-6.92,6.55-14.98,6.55-23.62c0-25.5-20.67-46.17-46.17-46.17
+				c-6.12,0-11.96,1.22-17.3,3.38c-8.34-8.24-19.79-13.33-32.44-13.33c-25.5,0-46.17,20.67-46.17,46.17c0,8.84,2.53,17.08,6.84,24.1
+				c-4.4,9.07-11.69,22.92-18.15,29.74c-10.08,10.65-14.12,24.07-7.56,33.79c6.55,9.72,20.17,7.87,24.2,18.05
+				c4.03,10.18,13.11,32.4,46.38,25c33.27-7.41,58.48,2.78,71.09-11.57c12.6-14.35,16.13-12.03,21.17-15.27
+				C249.25,184.49,272.95,172.46,262.36,151.63z"/>
+			<path class="st2" d="M273.34,228.91l-75.96-26.36L146,205.32l-57.4,12.96c-1.91,0.76-41.06,42.39-54.62,56.84
+				c31.43,42.43,81.85,69.94,138.71,69.94c54.65,0,103.34-25.44,134.95-65.09C297.97,257.52,274.28,229.09,273.34,228.91z"/>
+			<g>
+				<path class="st3" d="M307.64,282.11c-0.83,0-1.62-0.48-1.96-1.29c-9.14-21.22-30.74-47.41-33.38-50.01l-75.22-26.11l-50.78,2.74
+					l-56.82,12.83c-2.96,2.42-23.43,23.8-53.94,56.31c-0.81,0.86-2.16,0.9-3.02,0.1c-0.86-0.81-0.9-2.16-0.1-3.02
+					C85.3,217.3,87.06,216.6,87.82,216.3c0.1-0.04,0.21-0.07,0.32-0.1l57.39-12.96c0.12-0.03,0.24-0.04,0.36-0.05l51.38-2.78
+					c0.27-0.02,0.56,0.02,0.82,0.11l75.96,26.36l-0.01,0.03c3.96,2.14,26.96,32.21,35.58,52.21c0.47,1.08-0.03,2.34-1.12,2.81
+					C308.21,282.05,307.93,282.11,307.64,282.11z M88.61,218.28h0.02H88.61z"/>
+			</g>
+			<g>
+				<path class="st3" d="M102.17,330.97c-1,0-1.9-0.71-2.09-1.73l-5.64-28.91c-0.12-0.62,0.04-1.26,0.44-1.75l18.56-22.95
+					l-15.85-24.28c-0.5-0.76-0.46-1.75,0.1-2.47l33.75-43.7c0.73-0.93,2.07-1.1,3-0.38c0.93,0.72,1.11,2.06,0.39,3l-32.82,42.5
+					l15.87,24.31c0.51,0.78,0.45,1.79-0.13,2.51l-18.91,23.38l5.45,27.93c0.23,1.16-0.53,2.28-1.69,2.51
+					C102.45,330.95,102.31,330.97,102.17,330.97z"/>
+			</g>
+			<g>
+				<path class="st3" d="M208.4,342.67c-0.2,0-0.4-0.03-0.6-0.09c-1.13-0.33-1.78-1.52-1.45-2.65l10-34.18l-15.53-19.97
+					c-0.62-0.8-0.6-1.92,0.05-2.69l24.14-28.6l-22.43-50.7c-0.48-1.08,0.01-2.34,1.09-2.82c1.07-0.48,2.34,0.01,2.82,1.09
+					l22.97,51.92c0.33,0.75,0.21,1.62-0.32,2.24l-23.88,28.3l15.14,19.46c0.42,0.54,0.56,1.25,0.37,1.91l-10.31,35.23
+					C210.17,342.06,209.32,342.67,208.4,342.67z"/>
+			</g>
+			<g>
+				<path class="st2" d="M146.47,180.79c0,0-6.81,33.25-9.44,46.66c-3.2,16.34,5.27,32.49,28.88,26.94
+					c23.61-5.55,27.31-12.96,30.55-37.03c0.18-1.38-2.31-66.19-2.31-66.19S169.61,182.18,146.47,180.79z"/>
+				<path d="M157.03,257.64c-7.98,0-13-2.94-16.01-5.84c-5.76-5.55-8.03-14.81-6.08-24.77c2.6-13.27,9.37-46.34,9.44-46.68
+					c0.21-1.04,1.22-1.76,2.22-1.7c21.84,1.3,45.63-28.52,45.87-28.82c0.56-0.7,1.49-0.98,2.34-0.71c0.85,0.28,1.44,1.06,1.47,1.95
+					c0.75,19.54,2.49,65.15,2.3,66.56c-3.42,25.4-7.81,33.09-32.18,38.83C162.9,257.29,159.78,257.64,157.03,257.64z M148.2,182.97
+					c-1.44,7.04-6.83,33.4-9.07,44.89c-1.67,8.54,0.14,16.34,4.85,20.87c4.71,4.53,12.12,5.77,21.44,3.58
+					c22.52-5.3,25.77-11.82,28.92-35.23c0.07-1.7-1.16-35.23-2.12-60.38C184.67,165.05,166.47,182.83,148.2,182.97z"/>
+			</g>
+			<g>
+				<path class="st2" d="M155.74,184.49L155.74,184.49c-21.74,0-39.36-17.62-39.36-39.36v-31.1c0-21.74,17.62-39.36,39.36-39.36l0,0
+					c21.74,0,39.36,17.62,39.36,39.36v31.1C195.1,166.87,177.48,184.49,155.74,184.49z"/>
+				<path d="M155.74,186.63c-22.88,0-41.5-18.62-41.5-41.5v-31.1c0-22.88,18.62-41.5,41.5-41.5c22.88,0,41.5,18.62,41.5,41.5v31.1
+					C197.24,168.01,178.63,186.63,155.74,186.63z M155.74,76.8c-20.53,0-37.23,16.7-37.23,37.23v31.1
+					c0,20.53,16.7,37.23,37.23,37.23c20.52,0,37.22-16.7,37.22-37.23v-31.1C192.97,93.5,176.27,76.8,155.74,76.8z"/>
+			</g>
+			<g>
+				<g>
+					<path class="st6" d="M115.26,146.1c-10.89,0-19.75-8.86-19.75-19.75c0-10.89,8.86-19.75,19.75-19.75
+						c10.89,0,19.75,8.86,19.75,19.75C135.01,137.24,126.15,146.1,115.26,146.1z M115.26,110.87c-8.54,0-15.48,6.94-15.48,15.48
+						c0,8.54,6.94,15.48,15.48,15.48c8.54,0,15.48-6.94,15.48-15.48C130.73,117.81,123.79,110.87,115.26,110.87z"/>
+				</g>
+				<g>
+					<path class="st6" d="M159.64,146.1c-10.89,0-19.75-8.86-19.75-19.75c0-10.89,8.86-19.75,19.75-19.75
+						c10.89,0,19.75,8.86,19.75,19.75C179.39,137.24,170.53,146.1,159.64,146.1z M159.64,110.87c-8.53,0-15.48,6.94-15.48,15.48
+						c0,8.54,6.94,15.48,15.48,15.48c8.53,0,15.48-6.94,15.48-15.48C175.12,117.81,168.18,110.87,159.64,110.87z"/>
+				</g>
+				<g>
+					<path class="st6" d="M132.6,125.06c-0.55,0-1.09-0.21-1.51-0.63c-0.83-0.83-0.83-2.19,0-3.02c3.14-3.15,8.63-3.15,11.78,0
+						c0.83,0.83,0.83,2.19,0,3.02c-0.83,0.83-2.19,0.83-3.02,0c-1.53-1.53-4.2-1.53-5.73,0C133.7,124.85,133.15,125.06,132.6,125.06
+						z"/>
+				</g>
+			</g>
+			<g>
+				<path class="st3" d="M137.21,149.6c-0.26,0-0.52-0.05-0.77-0.14c-3.41-1.32-7.38-3.51-6.9-6.5c0.58-3.59,4.04-19.35,4.19-20.02
+					c0.25-1.15,1.4-1.88,2.54-1.63c1.15,0.25,1.88,1.39,1.63,2.54c-0.03,0.16-3.32,15.12-4.07,19.34c0.61,0.6,2.44,1.62,4.14,2.28
+					c1.1,0.43,1.65,1.66,1.22,2.76C138.88,149.08,138.07,149.6,137.21,149.6z"/>
+			</g>
+			<g>
+				<path class="st3" d="M139.93,160.02c-4.62,0-7.43-1.87-7.63-2c-0.97-0.67-1.22-2-0.55-2.97c0.66-0.97,1.99-1.22,2.95-0.56
+					c0.29,0.19,6.48,4.06,16.09-2.75c0.96-0.68,2.3-0.45,2.98,0.51c0.68,0.96,0.45,2.3-0.51,2.98
+					C148,158.95,143.44,160.02,139.93,160.02z"/>
+			</g>
+			<path class="st2" d="M215.44,138.67c0,8.69-7.05,15.74-15.74,15.74c-8.69,0-15.74-7.05-15.74-15.74
+				c0-8.69,7.05-15.74,15.74-15.74C208.39,122.93,215.44,129.97,215.44,138.67z"/>
+			<path d="M165.96,103.49c0.6-7.49,3.06-12.64,6.07-15.87c-1.99,3.82-3.28,9.04-3.18,15.87h25.55c0,0,46.55-21.75,15.68-44.9
+				c-15.45-11.58-28.07-9.22-37.41-4.72c-4.36-6.39-10.88-12.23-19.12-13.79c-17.1-3.24-63.18,7.41-41.8,63.41h27.44
+				c2.09-10.98,6.35-18.92,11.35-24.29c-3.24,6.22-5.59,14.24-6.32,24.29H165.96z"/>
+			<g>
+				<path class="st3" d="M78.12,317.8c-1.18,0-2.13-0.95-2.14-2.13c-0.16-33.9,4.29-68.25,4.33-68.6c0.15-1.17,1.23-1.99,2.4-1.84
+					c1.17,0.15,1.99,1.23,1.84,2.4c-0.04,0.34-4.46,34.42-4.3,68.02c0.01,1.18-0.95,2.14-2.13,2.15
+					C78.13,317.8,78.13,317.8,78.12,317.8z"/>
+			</g>
+			<g>
+				<path class="st3" d="M194.76,140.86c-0.15,0-0.3-0.02-0.45-0.05c-1.15-0.25-1.88-1.37-1.64-2.52c0.72-3.42,4.16-9.8,12.02-9.37
+					c1.18,0.06,2.08,1.07,2.02,2.25c-0.06,1.18-1.02,2.07-2.25,2.02c-6.02-0.32-7.47,5.35-7.61,6
+					C196.63,140.18,195.74,140.86,194.76,140.86z"/>
+			</g>
+			<path class="st3" d="M134.9,231.94c0,0-13.01,55.55-14.7,104.97c16.56,5.28,34.19,8.16,52.5,8.16c1.86,0,3.7-0.08,5.54-0.14
+				C183,302.92,195,235.61,195,235.61S146.68,281.08,134.9,231.94z"/>
+		</g>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-19.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-19.svg
new file mode 100644
index 00000000000..f3a36ec3a1c
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-19.svg	
@@ -0,0 +1,100 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F6E1DC;}
+	.st1{fill:#F0AF9B;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#080717;}
+	.st4{fill:none;stroke:#85BAC6;stroke-width:0.4121;stroke-miterlimit:10;}
+	.st5{fill:#F2ECDE;}
+	.st6{fill:#85BAC6;}
+	.st7{fill:#FCDEDE;}
+	.st8{fill:#AAD2DC;}
+	.st9{fill:#F5F5F5;}
+	.st10{fill:#E8EDC5;}
+	.st11{fill:#B9D2D7;}
+	.st12{fill:#FFFFFF;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st13{fill:#CEE1E7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#FDEDE0;}
+	.st17{fill:#C7E1E0;}
+	.st18{fill:#EFCBBF;}
+	.st19{fill:#23285C;}
+	.st20{fill:#010101;}
+	.st21{fill:#C6E0F5;}
+	.st22{fill:#DDD6CC;}
+	.st23{fill:#E0E0E0;}
+	.st24{fill:#F3F3F3;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4658 172.5338)" class="st15" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<g>
+			<g>
+				<polygon class="st2" points="80.86,305.01 181.68,296.43 211.09,206.53 127.63,179.23 				"/>
+				<path d="M80.86,307.14c-0.66,0-1.29-0.31-1.7-0.84c-0.44-0.58-0.56-1.35-0.3-2.04l46.78-125.77c0.4-1.07,1.58-1.65,2.67-1.29
+					l83.46,27.3c0.54,0.18,0.98,0.56,1.24,1.07c0.26,0.5,0.3,1.09,0.12,1.63l-29.41,89.9c-0.27,0.81-0.99,1.39-1.85,1.46
+					l-100.82,8.58C80.98,307.14,80.92,307.14,80.86,307.14z M128.92,181.9L84.03,302.59l96.05-8.17l28.3-86.52L128.92,181.9z"/>
+			</g>
+			<path d="M194.29,76.81c0,0,30.18,45.53,41.92,44.53c11.74-1,41.86-8.92,40.96-30.19c-0.9-21.26-9.01-16.38-18.24-16.82
+				c-9.23-0.44-5.87-22.21-11.67-23.37c-5.81-1.16-12.49,1.04-25.17,6.89C209.41,63.7,194.29,76.81,194.29,76.81z"/>
+			<g>
+				<path class="st2" d="M138.3,218.55c-17.46-11.99-30.62-30.71-35.4-53.43c-9.66-45.9,18.77-89.68,62.99-100.05
+					c72.56-17.01,97.41,45.91,98.05,59.74c0.15,3.24,0.3,6.38,0.47,9.41c0.89,5.06,1.32,10.09,1.33,15.05
+					c1.45,10.68,4.13,18.84,10,23.05c8.98,6.45-19.89,82.45-76.23,59.21L138.3,218.55z"/>
+				<path d="M220.38,238.11c-7.02,0-14.26-1.53-21.68-4.59c-1.09-0.45-1.61-1.7-1.16-2.79c0.45-1.09,1.7-1.61,2.79-1.16
+					c38.71,15.97,61.03-17.54,66.95-28.2c8.38-15.08,8.86-26.12,7.21-27.3c-5.79-4.16-9.14-11.71-10.87-24.5
+					c-0.01-0.1-0.02-0.19-0.02-0.28c0-4.86-0.44-9.81-1.29-14.69c-0.01-0.08-0.02-0.16-0.03-0.25c-0.17-3.04-0.32-6.18-0.48-9.43
+					c-0.3-6.56-8.03-30.76-28.98-46.59c-17.92-13.54-40.28-17.3-66.46-11.16c-43.77,10.26-70.74,53.1-61.39,97.53
+					c4.51,21.41,16.77,39.92,34.52,52.1c0.97,0.67,1.22,2,0.55,2.97c-0.67,0.97-2,1.22-2.97,0.55
+					c-18.66-12.81-31.55-32.25-36.28-54.75c-9.83-46.72,18.54-91.77,64.6-102.57c27.46-6.44,51.02-2.43,70.01,11.92
+					c20.77,15.69,30.22,40.18,30.67,49.8c0.15,3.19,0.3,6.28,0.47,9.27c0.88,5.04,1.33,10.13,1.34,15.15
+					c1.56,11.44,4.38,18.06,9.11,21.46c5.49,3.94,1.28,19.8-5.97,32.85c-7.02,12.63-16.72,22.78-27.34,28.58
+					C236.25,236.08,228.46,238.11,220.38,238.11z"/>
+			</g>
+			<path d="M155.91,47.23c29.7-6.25,59.13,3.58,79.83,23.66c-8.18-0.48-16.49,0.04-24.8,1.79c-56.4,11.87-91.3,72.96-77.94,136.44
+				c0.74,3.53,1.64,6.97,2.64,10.36c-23.68-12.25-42.03-35.04-48.07-63.72C77.1,105.97,107.69,57.38,155.91,47.23z"/>
+			<path d="M242.91,67.04c0,0-13.73,20.98-36.35,26.34c-11.96,2.83,3.73,5.8,2.96,18.52c-0.78,12.72-7.85,28.33-7.06,35.06
+				c0.79,6.74-10.14,6.46-10.14,6.46l-33.81,60.72c-4.05,7.27-12.36,11.06-20.51,9.35l-24.53-5.16l-0.88-24.21l16.36-98.22
+				C128.95,95.9,199.39,39.94,242.91,67.04z"/>
+			<g>
+
+					<ellipse transform="matrix(0.9739 -0.227 0.227 0.9739 -31.1418 43.6644)" class="st2" cx="174.31" cy="157.26" rx="19.65" ry="19.65"/>
+				<path d="M174.27,179.06c-4.18,0-8.28-1.21-11.86-3.55c-4.87-3.18-8.22-8.07-9.42-13.76l0,0c-1.2-5.7-0.11-11.52,3.07-16.39
+					c3.18-4.88,8.07-8.22,13.76-9.42c5.7-1.2,11.52-0.11,16.39,3.07c4.88,3.18,8.22,8.07,9.42,13.76
+					c2.47,11.76-5.08,23.34-16.83,25.81C177.29,178.9,175.77,179.06,174.27,179.06z M174.35,139.74c-1.21,0-2.43,0.13-3.64,0.38
+					c-9.45,1.99-15.52,11.3-13.53,20.75l0,0c0.96,4.58,3.65,8.51,7.57,11.06c3.92,2.56,8.6,3.43,13.18,2.47
+					c4.58-0.96,8.51-3.65,11.06-7.57c2.56-3.92,3.43-8.6,2.47-13.18c-0.96-4.58-3.65-8.51-7.57-11.06
+					C181,140.71,177.71,139.74,174.35,139.74z"/>
+			</g>
+			<g>
+				<path class="st19" d="M252.27,207.55c-0.28,0-0.56-0.06-0.84-0.17c-7.83-3.34-9.72-11.92-9.79-12.28
+					c-0.24-1.16,0.5-2.29,1.65-2.53c1.15-0.24,2.28,0.49,2.53,1.64c0.02,0.09,1.55,6.79,7.29,9.24c1.08,0.46,1.59,1.72,1.13,2.8
+					C253.89,207.06,253.1,207.55,252.27,207.55z"/>
+			</g>
+			<g>
+				<path class="st19" d="M182.89,161.46c-1.12,0-2.06-0.88-2.13-2.01l0,0c-0.01-0.07-0.49-6.94-5.81-10.24
+					c-1-0.62-1.31-1.94-0.69-2.94c0.62-1,1.94-1.31,2.94-0.69c7.23,4.49,7.8,13.25,7.82,13.62c0.07,1.18-0.84,2.19-2.02,2.25
+					C182.97,161.46,182.93,161.46,182.89,161.46z"/>
+			</g>
+			<g>
+				<path class="st19" d="M236.13,135.2c-0.11,0-0.23-0.01-0.34-0.03c-1.16-0.19-1.96-1.28-1.77-2.45
+					c0.64-3.95,4.64-8.32,9.75-10.63c5.51-2.49,11.2-2.19,16.02,0.85c1,0.63,1.3,1.95,0.67,2.95c-0.63,1-1.95,1.3-2.95,0.67
+					c-4.82-3.03-9.58-1.66-11.99-0.57c-4.11,1.86-6.94,5.23-7.29,7.42C238.07,134.45,237.16,135.2,236.13,135.2z"/>
+			</g>
+			<path class="st19" d="M249.48,151.18c0.81,2.41,2.87,3.9,4.6,3.31c1.74-0.58,2.49-3.01,1.68-5.42c-0.81-2.41-2.87-3.9-4.6-3.31
+				C249.43,146.34,248.67,148.77,249.48,151.18z"/>
+			<path d="M202.56,232.59l-9.41,28.77c-10.64-8.95-18.5-21.38-21.58-36.04c-1.23-5.86-1.61-11.7-1.25-17.41
+				C178.16,219.44,189.54,228.06,202.56,232.59z"/>
+		</g>
+		<path d="M164.8,276.22l-64.22-27.04L56.1,299.84c30.69,28.08,71.56,45.23,116.44,45.23c18.26,0,35.85-2.86,52.37-8.12
+			C213.87,309.99,192.53,287.9,164.8,276.22z"/>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-20.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-20.svg
new file mode 100644
index 00000000000..a53a56aa28f
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-20.svg	
@@ -0,0 +1,101 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F6E1DC;}
+	.st1{fill:#F0AF9B;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#080717;}
+	.st4{fill:none;stroke:#85BAC6;stroke-width:0.4121;stroke-miterlimit:10;}
+	.st5{fill:#F2ECDE;}
+	.st6{fill:#85BAC6;}
+	.st7{fill:#FCDEDE;}
+	.st8{fill:#AAD2DC;}
+	.st9{fill:#F5F5F5;}
+	.st10{fill:#E8EDC5;}
+	.st11{fill:#B9D2D7;}
+	.st12{fill:#FFFFFF;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st13{fill:#CEE1E7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#FDEDE0;}
+	.st17{fill:#C7E1E0;}
+	.st18{fill:#EFCBBF;}
+	.st19{fill:#23285C;}
+	.st20{fill:#010101;}
+	.st21{fill:#C6E0F5;}
+	.st22{fill:#DDD6CC;}
+	.st23{fill:#E0E0E0;}
+	.st24{fill:#F3F3F3;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4658 172.5338)" class="st17" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<path d="M54.34,298.17c30.88,29.06,72.44,46.9,118.19,46.9c58.54,0,110.24-29.18,141.43-73.77c-21.31-4.75-48.23-8.45-82.22-10.04
+			c-146.89-6.9-186.36,24.66-186.36,24.66C48.29,290.21,51.3,294.26,54.34,298.17z"/>
+		<g>
+			<path class="st2" d="M134.27,234.78l-6.56,28.91l-29.74,6.36c0,0,46.57,66.92,133.78-6.36c0,0-27.18-4.82-25.31-30.84
+				c1.87-26.02,9.37-57.83,9.37-57.83L134.27,234.78z"/>
+			<path d="M154.8,300.14c-3.34,0-6.64-0.22-9.9-0.65c-31.64-4.2-48-27.24-48.69-28.22c-0.41-0.59-0.5-1.34-0.23-2.01
+				c0.26-0.67,0.84-1.15,1.54-1.31l28.4-6.07l6.26-27.58c0.26-1.15,1.41-1.87,2.56-1.61c1.15,0.26,1.87,1.41,1.61,2.56l-6.56,28.91
+				c-0.18,0.81-0.82,1.44-1.64,1.62l-26.36,5.64c5.21,6.03,20.1,20.73,43.74,23.84c25.11,3.31,52.56-6.99,81.69-30.61
+				c-7.96-2.68-24.44-10.82-22.92-31.96c1.87-25.89,9.35-57.84,9.42-58.16c0.27-1.15,1.43-1.86,2.57-1.59
+				c1.15,0.27,1.86,1.42,1.59,2.57c-0.07,0.32-7.48,31.94-9.32,57.49c-1.71,23.75,22.52,28.4,23.55,28.58
+				c0.82,0.15,1.47,0.75,1.69,1.55c0.21,0.8-0.05,1.65-0.69,2.19C205.58,288.47,179.29,300.14,154.8,300.14z"/>
+		</g>
+		<ellipse transform="matrix(0.123 -0.9924 0.9924 0.123 115.8662 224.3603)" cx="184.88" cy="46.62" rx="28.12" ry="28.12"/>
+		<g>
+
+				<ellipse transform="matrix(0.3869 -0.9221 0.9221 0.3869 -47.6829 222.0048)" class="st2" cx="143.11" cy="146.86" rx="88.16" ry="58.44"/>
+			<path d="M124.78,233.42c-5.77,0-11.35-1.09-16.6-3.29c-15.08-6.33-25.52-21.02-29.39-41.37c-3.81-20.03-0.81-43.24,8.46-65.33
+				c9.27-22.1,23.72-40.5,40.69-51.82c17.24-11.5,35.03-14.34,50.11-8.02c15.08,6.33,25.52,21.02,29.39,41.37
+				c3.81,20.03,0.81,43.24-8.46,65.34l0,0c-9.27,22.1-23.72,40.5-40.69,51.82C147.05,229.6,135.58,233.42,124.78,233.42z
+				 M161.45,64.58c-9.97,0-20.63,3.57-31.14,10.58c-16.28,10.85-30.17,28.58-39.12,49.91c-8.95,21.33-11.86,43.67-8.21,62.88
+				c3.6,18.9,13.13,32.48,26.84,38.23c13.71,5.75,30.08,3.04,46.09-7.63c16.28-10.85,30.17-28.58,39.12-49.91l0,0
+				c8.95-21.33,11.86-43.67,8.21-62.88c-3.6-18.9-13.13-32.47-26.85-38.23C171.68,65.56,166.66,64.58,161.45,64.58z"/>
+		</g>
+		<path d="M97.19,156.2c0.26-3.2-1.14-5.93-3.13-6.09c-1.99-0.16-3.81,2.3-4.07,5.51c-0.26,3.2,1.14,5.93,3.13,6.09
+			C95.11,161.87,96.93,159.4,97.19,156.2z"/>
+		<path d="M153.78,137.79c0.26-3.2-1.14-5.93-3.13-6.09c-1.99-0.16-3.81,2.3-4.07,5.51c-0.26,3.2,1.14,5.93,3.13,6.09
+			C151.7,143.46,153.52,141,153.78,137.79z"/>
+		<g>
+			<path class="st2" d="M194.45,127.21c15.67-15.67,36.8-19.96,47.19-9.57c10.39,10.39,6.11,31.52-9.57,47.19
+				c-12.68,12.68-30.02,17.15-41.27,13.19L194.45,127.21z"/>
+			<path d="M199.57,181.56c-3.35,0-6.56-0.49-9.47-1.52c-1.11-0.39-1.7-1.61-1.31-2.73c0.39-1.11,1.61-1.7,2.73-1.31
+				c9.69,3.41,26.21,0.15,39.04-12.69c7.29-7.29,12.25-15.99,13.97-24.49c1.66-8.19,0.09-15.18-4.41-19.68
+				c-9.54-9.54-29.36-5.25-44.17,9.57c-0.83,0.83-2.19,0.83-3.02,0c-0.83-0.83-0.83-2.19,0-3.02c16.48-16.48,39.01-20.77,50.22-9.57
+				c5.55,5.55,7.53,13.91,5.57,23.55c-1.89,9.32-7.27,18.79-15.14,26.66C223.99,175.94,210.91,181.56,199.57,181.56z"/>
+		</g>
+		<path class="st18" d="M138.72,177.37c-1.1,0.25-0.13-13.08,11-10.47c0,0-0.47-4.97,3.06-7.45c5.46-3.83,8.79-0.18,9.84,4.22
+			c1.05,4.39,1.67,10.34-4.39,15.29C153.69,182.65,144.87,184.05,138.72,177.37z"/>
+		<g>
+			<path d="M139.15,179.52c-0.33,0-0.54-0.01-0.6-0.02c-1.18-0.09-2.06-1.12-1.96-2.3c0.09-1.17,1.09-2.04,2.29-1.96
+				c0.52,0.05,12.06,0.57,19.7-15.99c0.49-1.07,1.77-1.54,2.83-1.04c1.07,0.49,1.54,1.76,1.04,2.83
+				C154.41,178.46,142.04,179.52,139.15,179.52z"/>
+		</g>
+		<g>
+			<path d="M139.77,113.08c-0.49,0-0.99-0.17-1.39-0.52c-0.89-0.77-1-2.12-0.23-3.01c4.97-5.77,17.05-14.51,27.22-6.24
+				c0.92,0.74,1.06,2.09,0.31,3c-0.74,0.92-2.09,1.06-3,0.31c-9.53-7.74-21.17,5.58-21.29,5.71
+				C140.97,112.83,140.37,113.08,139.77,113.08z"/>
+		</g>
+		<g>
+			<path d="M116.93,175.64c-0.07,0-0.14,0-0.21-0.01c-2.78-0.27-9.43-1.2-11.27-4.03c-0.59-0.91-0.73-1.97-0.39-2.99
+				c1.12-3.35,6.07-32.24-1.53-39.23c-1.15-1.06-2.35-1.46-3.76-1.25c-5.45,0.8-11.98,9.96-14.04,13.42
+				c-0.6,1.01-1.92,1.34-2.93,0.75c-1.02-0.6-1.35-1.91-0.75-2.93c0.86-1.45,8.67-14.23,17.09-15.47c2.67-0.39,5.19,0.42,7.28,2.34
+				c9.61,8.84,4.11,38.32,2.83,43.21c1.08,0.73,4.59,1.6,7.88,1.93c1.17,0.11,2.03,1.16,1.92,2.33
+				C118.94,174.82,118.02,175.64,116.93,175.64z"/>
+		</g>
+		<path d="M92.32,116.92c0,0,63.27-47.8,76.62-30.93c13.36,16.87,9.14,50.61,9.14,50.61l15.82,0.35c0,0,3.87-18.63,11.6-19.33
+			c7.73-0.7-5.95-46.48-28.28-52.06C154.88,59.98,128.88,57.17,92.32,116.92z"/>
+		<g>
+			<path d="M196.15,148.51c-0.4,0-0.8-0.11-1.16-0.34c-0.99-0.64-1.27-1.97-0.63-2.96c5.54-8.54,14.09-14.42,20.04-18.11
+				c7.04-4.36,16.32-6.71,21.27-0.24c0.72,0.94,0.54,2.28-0.4,3c-0.93,0.72-2.28,0.54-3-0.4c-4.24-5.54-14.47,0.56-15.62,1.27
+				c-5.6,3.47-13.63,8.98-18.7,16.8C197.54,148.17,196.85,148.51,196.15,148.51z"/>
+		</g>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-21.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-21.svg
new file mode 100644
index 00000000000..2cb2fcb8b5f
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-21.svg	
@@ -0,0 +1,134 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F6E1DC;}
+	.st1{fill:#F0AF9B;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#080717;}
+	.st4{fill:none;stroke:#85BAC6;stroke-width:0.4121;stroke-miterlimit:10;}
+	.st5{fill:#F2ECDE;}
+	.st6{fill:#85BAC6;}
+	.st7{fill:#FCDEDE;}
+	.st8{fill:#AAD2DC;}
+	.st9{fill:#F5F5F5;}
+	.st10{fill:#E8EDC5;}
+	.st11{fill:#B9D2D7;}
+	.st12{fill:#FFFFFF;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st13{fill:#CEE1E7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#FDEDE0;}
+	.st17{fill:#C7E1E0;}
+	.st18{fill:#EFCBBF;}
+	.st19{fill:#23285C;}
+	.st20{fill:#010101;}
+	.st21{fill:#C6E0F5;}
+	.st22{fill:#DDD6CC;}
+	.st23{fill:#E0E0E0;}
+	.st24{fill:#F3F3F3;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4658 172.5339)" class="st0" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<path d="M123.31,97.15c0,31.34-51.29,192.06,141.86,112.4c13.72-5.66-14.19-73.11-28.37-112.4
+			c-10.64-29.48-25.41-56.74-56.74-56.74C148.72,40.41,123.31,65.81,123.31,97.15z"/>
+		<path class="st2" d="M220.61,212.6c-24.98,2.38-88.03,16.65-88.03,16.65s-48.77,8.33-69,39.26c-3.86,5.9-9.73,13.5-16.3,22.62
+			c31.45,33.2,75.91,53.94,125.25,53.94c40.3,0,77.34-13.86,106.71-37.01l2.03-20.52c0,0,3.57-24.98-5.95-44.01
+			C265.81,224.49,245.59,210.22,220.61,212.6z"/>
+		<g>
+			<path d="M279.25,310.19c-0.07,0-0.14,0-0.21-0.01c-1.17-0.12-2.03-1.16-1.92-2.34l2.03-20.52c0.05-0.33,3.36-24.65-5.73-42.85
+				c-10.08-20.16-30.73-31.84-52.61-29.76c-24.56,2.34-87.13,16.47-87.76,16.61c-0.59,0.1-48.21,8.57-67.68,38.34
+				c-2.51,3.84-5.83,8.34-9.66,13.54c-2.1,2.85-4.35,5.91-6.7,9.15c-0.69,0.96-2.02,1.18-2.98,0.49c-0.96-0.69-1.17-2.03-0.49-2.98
+				c2.35-3.26,4.61-6.33,6.72-9.19c3.8-5.15,7.08-9.6,9.53-13.34c10.75-16.44,29.35-26.5,43.07-32.04
+				c14.76-5.97,26.85-8.07,27.35-8.15c0.52-0.12,63.36-14.31,88.19-16.68c23.66-2.25,45.96,10.35,56.83,32.1
+				c9.7,19.41,6.3,44.22,6.15,45.27l-2.02,20.42C281.26,309.37,280.33,310.19,279.25,310.19z"/>
+		</g>
+		<g>
+			<path d="M261.55,321.5c-1.14,0-2.08-0.9-2.13-2.04c-0.57-13.08-3.51-32.7-14.24-51.86c-0.58-1.03-0.21-2.33,0.82-2.91
+				c1.03-0.57,2.33-0.21,2.91,0.82c11.14,19.89,14.18,40.21,14.78,53.76c0.05,1.18-0.86,2.18-2.04,2.23
+				C261.61,321.5,261.58,321.5,261.55,321.5z"/>
+		</g>
+		<path d="M213.59,97.15c0,31.34,51.29,192.06-141.86,112.4C58,203.89,85.91,136.43,100.1,97.15
+			c10.64-29.48,25.41-56.74,56.74-56.74S213.59,65.81,213.59,97.15z"/>
+		<g>
+			<g>
+				<g>
+					<path class="st2" d="M162.77,111.38c0.02,0,0.04,0,0.06,0c0.02,0,0.04,0,0.06,0H162.77z"/>
+					<path d="M162.89,111.38h0.01H162.89z M162.89,111.38h-0.12c0.02,0,0.04,0,0.06,0C162.85,111.38,162.87,111.38,162.89,111.38
+						L162.89,111.38z"/>
+				</g>
+				<g>
+					<path class="st2" d="M163.21,263.99c-19.65,0-37.62-11.47-45.45-28.76c8.82-2.76,15.11-3.86,15.18-3.88l4.33-0.96
+						c0.98-0.22,1.67-1.08,1.67-2.09v-90.85c0-13.17,10.72-23.91,23.89-23.94c13.16,0.03,23.88,10.77,23.88,23.94v80.11
+						c0,0.64,0.28,1.24,0.77,1.64c0.39,0.32,0.87,0.49,1.36,0.49c0.13,0,0.26-0.01,0.39-0.04c9.4-1.75,17.31-3.09,23.57-3.97
+						c0,0.16,0.01,0.31,0.01,0.47C212.82,242.54,190.57,263.99,163.21,263.99z"/>
+					<path d="M162.83,115.65c11.99,0.03,21.75,9.81,21.75,21.81v80.11c0,1.27,0.57,2.48,1.54,3.29c0.77,0.64,1.74,0.99,2.73,0.99
+						c0.26,0,0.52-0.02,0.78-0.07c8.17-1.53,15.21-2.73,21-3.6c-1.09,24.27-21.95,43.68-47.43,43.68c-17.97,0-34.47-10-42.43-25.31
+						c7.4-2.18,12.47-3.07,12.53-3.08c0.07-0.01,0.15-0.03,0.22-0.04c0,0,1.55-0.35,4.21-0.94c1.96-0.43,3.35-2.17,3.35-4.17v-90.85
+						C141.08,125.47,150.84,115.69,162.83,115.65L162.83,115.65z M162.83,111.38c-14.38,0.03-26.02,11.7-26.02,26.08v90.85
+						c-2.67,0.59-4.22,0.94-4.22,0.94s-7.44,1.28-17.69,4.66c7.42,18.82,26.23,32.22,48.33,32.22c28.58,0,51.75-22.37,51.75-49.96
+						c0-0.98-0.09-1.93-0.15-2.9c-7.29,0.96-16.44,2.52-25.96,4.3v-80.11C188.85,123.07,177.21,111.41,162.83,111.38L162.83,111.38z
+						"/>
+				</g>
+			</g>
+			<g>
+				<path class="st2" d="M122.01,129.57c3.24,11.95,0.79,23.01-5.48,24.71c-6.27,1.7-13.98-6.6-17.22-18.55
+					c-3.24-11.95-0.79-23.01,5.48-24.71C111.06,109.32,118.77,117.63,122.01,129.57z"/>
+				<path d="M114.84,156.65c-3.19,0-6.53-1.74-9.62-5.07c-3.48-3.75-6.31-9.18-7.97-15.29c-3.61-13.28-0.54-25.29,6.98-27.33
+					c3.84-1.05,8.05,0.65,11.87,4.76c3.48,3.75,6.31,9.18,7.97,15.28l0,0c3.61,13.29,0.54,25.29-6.98,27.33
+					C116.36,156.55,115.61,156.65,114.84,156.65z M106.45,112.95c-0.38,0-0.74,0.05-1.09,0.14c-4.39,1.19-7.11,10.56-3.98,22.09
+					c1.48,5.45,3.96,10.24,6.98,13.5c2.65,2.85,5.43,4.14,7.62,3.55c4.39-1.19,7.1-10.56,3.98-22.09l0,0
+					c-1.48-5.45-3.96-10.24-6.98-13.5C110.75,114.24,108.43,112.95,106.45,112.95z"/>
+			</g>
+			<g>
+				<path class="st2" d="M201.08,129.57c-3.24,11.95-0.79,23.01,5.48,24.71c6.27,1.7,13.98-6.6,17.22-18.55
+					c3.24-11.95,0.79-23.01-5.48-24.71C212.03,109.32,204.32,117.63,201.08,129.57z"/>
+				<path d="M208.25,156.65c-0.76,0-1.51-0.1-2.25-0.3c-7.52-2.04-10.59-14.05-6.98-27.33l0,0c1.66-6.1,4.49-11.53,7.97-15.28
+					c3.82-4.11,8.03-5.81,11.87-4.76c7.52,2.04,10.58,14.05,6.98,27.33c-1.66,6.1-4.49,11.53-7.97,15.29
+					C214.78,154.9,211.44,156.65,208.25,156.65z M203.14,130.13c-3.13,11.53-0.42,20.89,3.98,22.09c2.19,0.59,4.97-0.7,7.62-3.55
+					c3.02-3.26,5.5-8.05,6.98-13.5c3.13-11.53,0.42-20.89-3.97-22.09c-2.19-0.59-4.97,0.7-7.62,3.55
+					C207.1,119.89,204.62,124.68,203.14,130.13L203.14,130.13z"/>
+			</g>
+			<g>
+				<path class="st2" d="M161.69,218.3L161.69,218.3c-27.06,0-49-31.78-49-58.85V101.3c0-27.06,31.06-11.79,49-49l0,0
+					c8.25,27.39,49,21.94,49,49v58.16C210.69,186.52,188.75,218.3,161.69,218.3z"/>
+				<path d="M161.69,220.44c-28.33,0-51.14-33.36-51.14-60.98V101.3c0-14.64,8.52-18.22,18.4-22.38c9.8-4.12,21.99-9.25,30.82-27.55
+					c0.38-0.8,1.22-1.26,2.09-1.2c0.88,0.07,1.62,0.67,1.88,1.51c3.7,12.3,14.66,17.6,25.25,22.72
+					c11.72,5.67,23.84,11.53,23.84,26.9v58.16C212.83,187.08,190.02,220.44,161.69,220.44z M161.41,57.45
+					c-9.26,16.36-21.13,21.34-30.8,25.41c-9.5,3.99-15.78,6.63-15.78,18.44v58.16c0,25.69,20.9,56.71,46.86,56.71
+					c25.96,0,46.86-31.02,46.86-56.71V101.3c0-12.68-9.93-17.49-21.43-23.05C177.48,73.59,166.7,68.37,161.41,57.45z"/>
+			</g>
+			<path d="M130,131.55c1.28,3.28,4.24,5.19,6.6,4.27c2.36-0.92,3.24-4.33,1.95-7.62c-1.28-3.28-4.24-5.19-6.6-4.27
+				C129.59,124.85,128.71,128.26,130,131.55z"/>
+			<g>
+				<path d="M146.17,121.1c-0.46,0-0.92-0.15-1.31-0.45c-2.22-1.72-5.29-2.79-8.65-3.03c-4.08-0.28-7.97,0.73-10.38,2.73
+					c-0.91,0.75-2.25,0.63-3.01-0.28c-0.75-0.91-0.63-2.26,0.28-3.01c3.24-2.69,8.24-4.07,13.41-3.71c4.2,0.3,8.09,1.68,10.97,3.91
+					c0.93,0.72,1.1,2.06,0.38,3C147.44,120.82,146.81,121.1,146.17,121.1z"/>
+			</g>
+			<path d="M182.49,131.55c1.28,3.28,4.24,5.19,6.6,4.27c2.36-0.92,3.24-4.33,1.95-7.62c-1.28-3.28-4.24-5.19-6.6-4.27
+				C182.08,124.85,181.2,128.26,182.49,131.55z"/>
+			<g>
+				<path d="M198.66,121.1c-0.46,0-0.92-0.15-1.31-0.45c-2.22-1.72-5.29-2.79-8.65-3.03c-4.08-0.28-7.97,0.73-10.38,2.73
+					c-0.91,0.75-2.26,0.62-3.01-0.28c-0.75-0.91-0.63-2.26,0.28-3.01c3.24-2.69,8.26-4.07,13.41-3.71c4.2,0.3,8.09,1.68,10.97,3.91
+					c0.93,0.72,1.1,2.06,0.38,3C199.93,120.82,199.29,121.1,198.66,121.1z"/>
+			</g>
+			<g>
+				<path d="M159.11,153.95c-1.38,0-2.74-0.57-3.6-1.58c-1.7-2.01-1.53-4.68-1.43-6.28c0.6-9.13,1.42-18.36,2.44-27.44
+					c0.13-1.17,1.2-2.02,2.36-1.88c1.17,0.13,2.02,1.19,1.88,2.36c-1.02,9.01-1.83,18.18-2.43,27.24c-0.08,1.23-0.12,2.6,0.42,3.23
+					c0.05,0.04,0.17,0.07,0.28,0.07c0.35-0.92,1.31-1.5,2.31-1.36c1.17,0.17,1.98,1.26,1.81,2.42c-0.21,1.46-1.24,2.59-2.75,3.03
+					C159.99,153.89,159.55,153.95,159.11,153.95z"/>
+			</g>
+			<g>
+				<path d="M168.97,169.51c-1.64,0-3.25-0.29-4.76-0.87c-1.1-0.42-1.65-1.66-1.23-2.76c0.42-1.1,1.66-1.65,2.76-1.23
+					c2.5,0.96,5.49,0.73,8.18-0.65c2.7-1.38,4.64-3.66,5.32-6.25c0.3-1.14,1.47-1.82,2.61-1.52c1.14,0.3,1.82,1.47,1.52,2.61
+					c-0.99,3.77-3.73,7.03-7.51,8.96C173.67,168.93,171.29,169.51,168.97,169.51z"/>
+			</g>
+		</g>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-22.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-22.svg
new file mode 100644
index 00000000000..9c2923e21fe
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-22.svg	
@@ -0,0 +1,127 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F6E1DC;}
+	.st1{fill:#F0AF9B;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#080717;}
+	.st4{fill:none;stroke:#85BAC6;stroke-width:0.4121;stroke-miterlimit:10;}
+	.st5{fill:#F2ECDE;}
+	.st6{fill:#85BAC6;}
+	.st7{fill:#FCDEDE;}
+	.st8{fill:#AAD2DC;}
+	.st9{fill:#F5F5F5;}
+	.st10{fill:#E8EDC5;}
+	.st11{fill:#B9D2D7;}
+	.st12{fill:#FFFFFF;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st13{fill:#CEE1E7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#FDEDE0;}
+	.st17{fill:#C7E1E0;}
+	.st18{fill:#EFCBBF;}
+	.st19{fill:#23285C;}
+	.st20{fill:#010101;}
+	.st21{fill:#C6E0F5;}
+	.st22{fill:#DDD6CC;}
+	.st23{fill:#E0E0E0;}
+	.st24{fill:#F3F3F3;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4658 172.5337)" class="st5" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<ellipse transform="matrix(0.6214 -0.7835 0.7835 0.6214 -116.1445 153.5544)" cx="100.81" cy="196.95" rx="56.62" ry="56.62"/>
+		<path d="M100.56,91.09c-9.26-22.19,15.69-74.16,60.41-49c44.73,25.17,37.72,2.18,63.01,16.25c25.32,14.07,33.41,30.07,24.83,44.54
+			c-8.58,14.45-15.2,43.69,0.39,52.22c15.59,8.52,88.91,53.81,22.99,83.73c-65.92,29.91-251.58-32.34-198.03-91.71
+			C74.16,147.1,117.27,131.11,100.56,91.09z"/>
+		<g>
+			<path class="st2" d="M192.19,162.31c5.51-32.08-51.13-7.95-51.13-7.95s-8.67,44.86-9.31,70.26c3.07,2.91,33.63,13.84,42.76,12.38
+				C173.63,236.69,188.56,183.36,192.19,162.31z"/>
+			<path d="M172.71,239.25c-11.39,0-38.92-9.75-42.44-13.08c-0.44-0.42-0.68-1-0.66-1.6c0.64-25.29,9.26-70.16,9.35-70.61
+				c0.13-0.7,0.61-1.28,1.26-1.56c1.5-0.64,36.75-15.47,49.69-5.24c4.12,3.26,5.6,8.48,4.39,15.52v0
+				c-2.1,12.19-8.03,35.38-12.36,52.3c-2.49,9.74-5.06,19.79-5.31,21.72c0.02,0.16,0.03,0.32,0.01,0.48
+				c-0.09,0.97-0.82,1.77-1.79,1.92C174.22,239.2,173.51,239.25,172.71,239.25z M175.22,234.98c0.26,0.09,0.49,0.23,0.68,0.4
+				C175.72,235.22,175.49,235.08,175.22,234.98z M133.91,223.56c4.93,2.94,29.35,11.51,38.77,11.44c0.55-3.22,2.1-9.29,5.11-21.08
+				c4.31-16.86,10.21-39.94,12.29-51.97c0.94-5.46,0.01-9.2-2.83-11.45c-8.79-6.95-34,1.16-44.31,5.38
+				C141.63,162.87,134.68,200.71,133.91,223.56z M175.22,234.98C175.22,234.98,175.22,234.98,175.22,234.98
+				C175.22,234.98,175.22,234.98,175.22,234.98z M192.19,162.31h0.02H192.19z"/>
+		</g>
+		<g>
+			<path class="st2" d="M205.73,83.19c0,0,14.34,38.35,9.61,60.63c-4.71,22.28-9.52,50.9-33.24,50.79
+				c-19-0.1-56.85-33.09-59.44-48.49c-2.41-14.34,37.49-17.33,22.3-56.54C139.48,75.42,191.03,96.51,205.73,83.19z"/>
+			<path d="M182.24,196.75c-0.05,0-0.1,0-0.15,0c-20.32-0.11-58.79-33.93-61.53-50.27c-1.07-6.4,4.35-10.74,10.08-15.32
+				c9.57-7.65,21.48-17.17,12.33-40.8c-1.07-2.78-0.36-4.55,0.42-5.54c2.79-3.55,10.3-2.75,23.35-1.04
+				c13.68,1.8,30.71,4.03,37.56-2.17c0.52-0.48,1.25-0.66,1.94-0.49c0.69,0.17,1.25,0.66,1.5,1.33c0.59,1.59,14.5,39.2,9.7,61.82
+				l-0.66,3.15C212.19,169.4,206.48,196.75,182.24,196.75z M151.13,86.57c-2.24,0-3.88,0.24-4.38,0.88
+				c-0.1,0.13-0.08,0.61,0.21,1.36c10.29,26.55-3.55,37.6-13.65,45.68c-5.7,4.56-9.16,7.54-8.54,11.28
+				c2.41,14.39,39.4,46.61,57.34,46.71c0.04,0,0.08,0,0.12,0c20.77,0,25.86-24.4,30.35-45.94l0.66-3.16
+				c3.84-18.09-5.51-47.78-8.58-56.78c-8.97,5.29-24.57,3.24-38.48,1.41C161.28,87.37,155.2,86.57,151.13,86.57z"/>
+		</g>
+		<path d="M133.9,165.93c6.68,5.46,16.94,17.16,27.79,21.43c1.86,4.42-22.19,6.65-26.94,1.47c-0.13-13.49-2.37-23.71-2.37-23.71
+			s0.12-0.19,0.31-0.51C133.01,165.08,133.4,165.52,133.9,165.93z"/>
+		<path class="st20" d="M175.75,119.31c1.33,2.98,0.86,6.45-1.06,7.75c-1.92,1.3-4.55-0.07-5.89-3.05
+			c-1.33-2.98-0.86-6.45,1.06-7.75C171.78,114.96,174.42,116.33,175.75,119.31z"/>
+		<g>
+			<path class="st20" d="M183.85,172.39c-0.26,0-0.53-0.01-0.8-0.02c-5.24-0.29-10.17-7.96-11.1-12.04
+				c-0.74-3.2,0.65-4.52,1.55-5.02c2.94-1.64,16.04-1.27,21.54-1.04c0.66,0.03,1.27,0.36,1.65,0.9c0.38,0.54,0.49,1.22,0.3,1.86
+				C193.63,168.12,190.01,172.39,183.85,172.39z M176.01,158.9c0.12,1.02,1,3.36,2.85,5.75c1.89,2.46,3.57,3.4,4.43,3.44
+				c2.9,0.17,5.59-0.5,8.75-9.65C185.29,158.25,178.21,158.37,176.01,158.9z"/>
+		</g>
+		<g>
+			<path class="st20" d="M190.87,141.85c-0.98,0-1.87-0.68-2.08-1.68c-0.25-1.15,0.48-2.29,1.63-2.54c2.84-0.62,7.17-2.39,7.91-4.35
+				c0.09-0.24,0.36-0.96-0.66-2.34c-5.41-7.36-7.47-17.49-7.55-17.92c-0.23-1.16,0.52-2.28,1.68-2.51c1.16-0.23,2.28,0.52,2.51,1.68
+				c0.02,0.1,1.96,9.64,6.81,16.22c1.98,2.69,1.75,4.96,1.21,6.39c-1.85,4.89-10.07,6.81-11,7.01
+				C191.18,141.83,191.02,141.85,190.87,141.85z"/>
+		</g>
+		<path class="st2" d="M129.12,135.65c-2.47,6.22-4.46,12.22-6.01,17.82c-5.76-0.34-10.57-3.7-11.94-9.12
+			c-1.89-7.46,3.44-15.91,11.91-18.86c3.72-1.3,7.39-1.26,10.54-0.24C132.06,128.58,130.55,132.05,129.12,135.65z"/>
+		<g>
+			<path class="st20" d="M160.69,116.2c-0.59,0-1.18-0.24-1.6-0.72c-0.78-0.88-0.7-2.23,0.18-3.02c2.65-2.35,6.28-4.14,10.23-5.05
+				c4.99-1.15,9.72-0.73,12.98,1.15c1.02,0.59,1.37,1.9,0.78,2.92c-0.59,1.02-1.9,1.37-2.92,0.78c-2.29-1.32-5.99-1.58-9.88-0.69
+				c-3.26,0.75-6.23,2.2-8.35,4.08C161.7,116.02,161.19,116.2,160.69,116.2z"/>
+		</g>
+		<path class="st20" d="M210.74,119.3c1.2,3.04,0.57,6.48-1.4,7.69c-1.97,1.21-4.55-0.27-5.74-3.31c-1.2-3.04-0.57-6.48,1.4-7.7
+			C206.97,114.78,209.54,116.27,210.74,119.3z"/>
+		<g>
+			<path class="st20" d="M195.58,116.04c-0.59,0-1.18-0.24-1.6-0.72c-0.78-0.88-0.7-2.23,0.18-3.02c2.65-2.35,6.28-4.14,10.23-5.05
+				c4.99-1.15,9.72-0.73,12.98,1.15c1.02,0.59,1.37,1.9,0.78,2.92c-0.59,1.02-1.9,1.37-2.92,0.78c-2.3-1.33-5.99-1.58-9.88-0.68
+				c-3.26,0.75-6.23,2.2-8.35,4.08C196.59,115.86,196.08,116.04,195.58,116.04z"/>
+		</g>
+		<g>
+			<path class="st6" d="M117.52,185.67c-4.43,0-8.41-1.67-11.3-4.76c-3.25-3.48-4.69-8.28-4.07-13.51c0.66-5.5,3.6-10.78,8.07-14.49
+				c0.91-0.75,2.26-0.63,3.01,0.28c0.75,0.91,0.63,2.26-0.28,3.01c-3.64,3.02-6.02,7.28-6.56,11.71c-0.47,3.96,0.57,7.54,2.95,10.09
+				c2.2,2.36,5.35,3.55,8.85,3.39c7.84-0.39,15.03-7.38,16.01-15.59c0.47-3.96-0.57-7.54-2.95-10.09c-2.2-2.36-5.35-3.56-8.85-3.39
+				c-1.16,0.08-2.18-0.85-2.24-2.03c-0.06-1.18,0.85-2.18,2.03-2.24c4.79-0.25,9.11,1.45,12.18,4.74c3.25,3.48,4.69,8.28,4.07,13.51
+				c-1.22,10.18-10.21,18.86-20.04,19.35C118.11,185.66,117.81,185.67,117.52,185.67z"/>
+		</g>
+		<g>
+
+				<rect x="159.58" y="231.63" transform="matrix(0.1477 -0.989 0.989 0.1477 -74.7537 380.7898)" class="st21" width="47.94" height="4.27"/>
+		</g>
+		<path class="st2" d="M241.02,261.86l-20.58-36.8c-7.1-12.69-22.55-18.63-36.8-14.14L83.34,248.3
+			c-20.67,6.59-31.05,15.86-28.33,34.09l1.14,7.65c0.59,3.99,1.39,7.94,2.28,11.86c30.42,26.85,70.34,43.17,114.1,43.17
+			c29.68,0,57.6-7.5,81.99-20.7l-0.03-13.8C256.1,293.24,251.31,275.93,241.02,261.86z"/>
+		<g>
+			<path d="M254.52,326.51c-1.18,0-2.13-0.95-2.14-2.13l-0.03-13.8c1.57-17.02-3.07-33.8-13.06-47.45c-0.05-0.07-0.1-0.14-0.14-0.22
+				l-20.58-36.8c-6.6-11.8-21.02-17.33-34.29-13.15L84.09,250.3c-21.52,6.86-29.3,16.06-26.96,31.77l1.14,7.65
+				c0.52,3.52,1.26,7.34,2.25,11.7c0.26,1.15-0.46,2.3-1.61,2.56c-1.16,0.27-2.3-0.46-2.56-1.61c-1.01-4.46-1.77-8.39-2.31-12.02
+				l-1.14-7.65c-3.38-22.66,13.17-31.14,29.79-36.44l100.2-37.35c15.3-4.83,31.83,1.54,39.41,15.1l20.51,36.69
+				c10.55,14.47,15.45,32.25,13.8,50.07l0.04,13.59C256.66,325.55,255.71,326.51,254.52,326.51
+				C254.53,326.51,254.52,326.51,254.52,326.51z"/>
+		</g>
+		<g>
+			<path class="st2" d="M124.25,234.05l4.32-29.11l1.29-9.45c19.07,5.18,38.15,10.07,57.23,14.57l-1.42,9.4l-5.67,38.01
+				C180.01,257.47,157.41,267.21,124.25,234.05z"/>
+			<path d="M171.27,260.98c-10,0-27.18-4.08-48.52-25.42c-0.48-0.48-0.7-1.15-0.6-1.82l4.32-29.11l1.29-9.42
+				c0.08-0.61,0.42-1.15,0.94-1.49c0.52-0.34,1.15-0.44,1.74-0.28c19.79,5.38,39.02,10.28,57.16,14.55c1.08,0.25,1.79,1.3,1.62,2.4
+				l-7.08,47.41c-0.11,0.73-0.59,1.36-1.27,1.65C180.5,259.59,177.1,260.98,171.27,260.98z M126.53,233.29
+				c27.18,26.76,46.86,23.81,51.57,22.55l6.59-44.16c-16.9-4.01-34.73-8.54-53.04-13.5l-0.96,7.04L126.53,233.29z"/>
+		</g>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-23.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-23.svg
new file mode 100644
index 00000000000..111f30e4a81
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-23.svg	
@@ -0,0 +1,120 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F6E1DC;}
+	.st1{fill:#F0AF9B;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#080717;}
+	.st4{fill:none;stroke:#85BAC6;stroke-width:0.4121;stroke-miterlimit:10;}
+	.st5{fill:#F2ECDE;}
+	.st6{fill:#85BAC6;}
+	.st7{fill:#FCDEDE;}
+	.st8{fill:#AAD2DC;}
+	.st9{fill:#F5F5F5;}
+	.st10{fill:#E8EDC5;}
+	.st11{fill:#B9D2D7;}
+	.st12{fill:#FFFFFF;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st13{fill:#CEE1E7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#FDEDE0;}
+	.st17{fill:#C7E1E0;}
+	.st18{fill:#EFCBBF;}
+	.st19{fill:#23285C;}
+	.st20{fill:#010101;}
+	.st21{fill:#C6E0F5;}
+	.st22{fill:#DDD6CC;}
+	.st23{fill:#E0E0E0;}
+	.st24{fill:#F3F3F3;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4658 172.5337)" class="st9" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4658 172.5337)" class="st24" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<g>
+			<g>
+				<path class="st2" d="M167.65,292.62c20.9,2.07,40.75-15.75,52.37-43.54c-15.23-7.79-29.01-23.89-29.64-45.57
+					c-1.03-34.7-39.79-3.06-39.79-3.06s14.54,47.23-16.48,53.77c-4.01,0.84-2.95,7.62-1.01,11.23
+					C141.48,281.03,153.54,291.22,167.65,292.62z"/>
+				<path d="M170.93,294.92c-1.16,0-2.33-0.06-3.49-0.17h0c-14.31-1.43-27.18-11.47-36.22-28.28c-1.41-2.62-2.91-7.8-1.27-11.34
+					c0.75-1.61,2.03-2.64,3.72-3c6.28-1.32,10.99-4.59,14-9.7c8.84-15,0.96-41.09,0.88-41.35c-0.26-0.83,0.02-1.73,0.69-2.28
+					c0.91-0.75,22.54-18.21,35.04-12.51c5.2,2.38,7.98,8.15,8.24,17.16c0.64,21.83,15.13,36.9,28.48,43.73
+					c0.99,0.51,1.43,1.7,1,2.73C210.24,278.03,190.92,294.92,170.93,294.92z M167.87,290.5c18.87,1.88,37.67-13.6,49.43-40.46
+					c-13.92-7.78-28.38-23.73-29.04-46.46c-0.21-7.25-2.15-11.76-5.75-13.4c-7.88-3.6-23,6.07-29.46,11.07
+					c1.61,5.93,6.94,28.7-1.69,43.36c-3.64,6.19-9.3,10.13-16.8,11.71c-0.3,0.06-0.53,0.19-0.73,0.62
+					c-0.71,1.53-0.17,5.04,1.16,7.51C143.33,279.96,155.01,289.22,167.87,290.5L167.87,290.5z"/>
+			</g>
+		</g>
+		<path class="st3" d="M118.26,163.04c0,0-53.07-12.93-38.78-45.58c14.3-32.66,15.66-11.56,16.34-25.17
+			c0.67-13.6-6.81-44.22,11.56-40.14c18.37,4.08,31.97,2.72,51.03-8.17c19.04-10.88,28.57-18.37,34.69,2.04
+			c6.13,20.41,5.46,17.69,27.22,19.73c21.76,2.03,27.89,6.12,20.42,17.69c-7.49,11.57-18.39,15.65-8.17,27.22
+			c10.2,11.57,12.25,23.13,4.08,31.3c-8.17,8.16-44.56,23.47-44.56,23.47L118.26,163.04z"/>
+		<g>
+			<path class="st2" d="M200.57,137.64c0,0,17.25-11.42,21.35-2.96c4.08,8.47,2.12,23.2-4.36,30.4c-6.49,7.2-14.16,17.2-19.15,0.54
+				C193.4,148.98,200.57,137.64,200.57,137.64z"/>
+			<path d="M205.5,176.84c-0.46,0-0.92-0.05-1.39-0.15c-3.38-0.75-5.84-4.07-7.76-10.45c-5.22-17.37,2.09-29.24,2.4-29.74
+				c0.16-0.26,0.37-0.47,0.63-0.64c1.26-0.83,12.47-8.06,19.66-6.09c2.16,0.59,3.82,1.97,4.79,3.99c4.53,9.4,2.29,25.01-4.69,32.76
+				l-1.14,1.28C214.04,172.25,209.94,176.84,205.5,176.84z M202.17,139.15c-1.09,2.03-5.86,12.05-1.71,25.86
+				c1.82,6.05,3.65,7.3,4.59,7.51c2.54,0.57,6.72-4.14,9.77-7.57l1.16-1.3c5.76-6.4,7.75-20.28,4.02-28.04
+				c-0.44-0.91-1.1-1.45-2.08-1.72C213.62,132.71,205.32,137.15,202.17,139.15z"/>
+		</g>
+		<g>
+			<path class="st2" d="M106.56,170.08c0,0-8.02-21.67,8.86-19.61c9.36,1.13,20.76,10.56,23.4,19.87
+				c2.64,9.33,6.98,21.17-9.76,16.51C112.33,182.2,106.56,170.08,106.56,170.08z"/>
+			<path d="M135.45,190.05c-1.94,0-4.24-0.38-6.96-1.14c-17.48-4.86-23.61-17.38-23.87-17.91c-0.03-0.06-0.05-0.12-0.08-0.18
+				c-0.48-1.3-4.56-12.88,0.33-19.07c2.26-2.86,5.89-4,10.8-3.4c10.37,1.26,22.38,11.46,25.2,21.41l0.45,1.57
+				c1.84,6.36,3.74,12.94,0.14,16.59C140.07,189.34,138.1,190.05,135.45,190.05z M108.53,169.23c0.52,0.99,6.27,11.43,21.12,15.56
+				c6.07,1.69,8.12,0.8,8.79,0.12c1.84-1.86,0.08-7.95-1.21-12.39l-0.46-1.6c-2.37-8.36-12.87-17.27-21.6-18.33
+				c-3.32-0.4-5.66,0.2-6.93,1.81C105.38,158.02,107.44,166.22,108.53,169.23z"/>
+		</g>
+		<path class="st3" d="M193.27,219.03c-1.71-4.77-2.73-9.95-2.89-15.51c-1.03-34.7-39.79-3.06-39.79-3.06s11.21,37.76-3.07,50
+			c-0.68,0.58-1.29,1.11-1.84,1.61C166.95,249.63,184.81,236.76,193.27,219.03z"/>
+		<g>
+			<path class="st2" d="M113.83,147.39c0,0,13.03,47.66,35.72,65.32c15.31,11.91,38.45,2.38,52.04-22.8
+				c13.32-24.65,8.17-109.87-18.36-96.6c-26.54,13.26-4.09-17.35-18.37-7.15C150.59,96.37,174.05,136.17,113.83,147.39z"/>
+			<path d="M164.33,219.94c-5.88,0-11.36-1.88-16.08-5.55c-23-17.89-35.93-64.46-36.47-66.44c-0.16-0.58-0.07-1.19,0.25-1.7
+				c0.32-0.51,0.83-0.86,1.42-0.96c39.34-7.34,41.48-26.74,43.21-42.33c0.87-7.89,1.62-14.71,6.98-18.54
+				c2.91-2.08,5.23-3.22,7.1-2.07c2.01,1.25,1.6,3.83,1.17,6.57c-0.27,1.68-0.76,4.81,0.05,5.41c0.19,0.13,2.05,1.21,10.34-2.94
+				c5.71-2.86,11.08-1.94,15.53,2.65c15.35,15.85,16.82,76.24,5.66,96.87c-8.29,15.36-20.32,25.69-33,28.36
+				C168.39,219.72,166.34,219.94,164.33,219.94z M116.54,149.04c2.88,9.51,15.2,47.1,34.33,61.98c5.31,4.13,11.79,5.54,18.73,4.08
+				c11.28-2.37,22.54-12.17,30.12-26.21c10.36-19.17,9.13-77.31-4.97-91.87c-3.15-3.25-6.5-3.83-10.55-1.8
+				c-7.52,3.75-12.08,4.54-14.78,2.56c-2.92-2.14-2.24-6.41-1.74-9.53c0.07-0.45,0.16-1.01,0.23-1.53
+				c-0.44,0.26-1.03,0.63-1.79,1.17c-3.8,2.72-4.43,8.37-5.22,15.53C159.15,119.23,156.78,140.76,116.54,149.04z"/>
+		</g>
+		<g>
+			<path d="M164.71,185.33c-4.51,0-8.91-3.93-14.01-9.99c-0.38-0.46-0.56-1.05-0.49-1.64c0.07-0.59,0.39-1.12,0.88-1.47
+				c5.88-4.2,16.22-11.23,19.53-11.23c0,0,0.01,0,0.01,0c0.92,0.01,2.59,0.42,3.48,3.16c1.43,4.39,0.78,15.74-3.82,19.13
+				C168.38,184.68,166.53,185.33,164.71,185.33z M155.49,174.34c7.81,8.76,10.17,7.03,12.27,5.49c0.8-0.59,1.93-2.66,2.48-6.56
+				c0.52-3.71,0.2-6.66-0.2-7.86C167.72,166.25,161.3,170.29,155.49,174.34z"/>
+		</g>
+		<g>
+			<path d="M156.07,159.21c-2.85,0-6.81-0.52-8.98-3.08c-1.12-1.33-2.2-3.73-0.93-7.63c3.04-9.33,2.46-20.76,2.45-20.87
+				c-0.06-1.18,0.84-2.19,2.01-2.25c1.21-0.09,2.19,0.84,2.25,2.01c0.03,0.5,0.64,12.33-2.65,22.43c-0.53,1.63-0.49,2.82,0.12,3.54
+				c1.51,1.78,6.3,1.7,8.38,1.38c1.16-0.18,2.26,0.62,2.43,1.79c0.18,1.17-0.62,2.26-1.79,2.43
+				C159.04,159.03,157.74,159.21,156.07,159.21z"/>
+		</g>
+		<g>
+			<path d="M167.48,135.24c-0.37,0-0.75-0.1-1.09-0.3c-1-0.6-1.34-1.89-0.75-2.9c0.1-0.17,2.5-4.18,9.13-6.83
+				c7.67-3.07,13.14,1.3,14.96,4.03c0.65,0.98,0.39,2.31-0.59,2.96c-0.98,0.65-2.3,0.39-2.96-0.58c-0.36-0.52-3.63-4.92-9.83-2.44
+				c-5.17,2.07-7.03,5.01-7.05,5.04C168.91,134.87,168.2,135.24,167.48,135.24z"/>
+		</g>
+		<path d="M175.88,132.57c0,3.48,2.03,6.3,4.54,6.3s4.54-2.82,4.54-6.3s-2.03-6.3-4.54-6.3S175.88,129.09,175.88,132.57z"/>
+		<g>
+			<path d="M69.31,304.4c-0.06,0-0.11,0-0.17-0.01c-1.18-0.09-2.06-1.11-1.97-2.29c0.04-0.5,4.48-49.72,66.93-50.01
+				c0,0,0.01,0,0.01,0c1.18,0,2.13,0.95,2.14,2.13c0.01,1.18-0.95,2.14-2.13,2.15c-58.41,0.27-62.54,44.19-62.68,46.06
+				C71.35,303.54,70.41,304.4,69.31,304.4z"/>
+		</g>
+		<g>
+			<path d="M309.95,273.13c-0.72,0-1.42-0.36-1.82-1.02c-0.27-0.44-21.94-33.83-87.69-20.94c-1.17,0.22-2.28-0.53-2.51-1.69
+				c-0.23-1.16,0.53-2.28,1.69-2.51c68.97-13.52,91.24,21.4,92.15,22.9c0.62,1.01,0.3,2.32-0.71,2.94
+				C310.72,273.03,310.33,273.13,309.95,273.13z"/>
+		</g>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-24.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-24.svg
new file mode 100644
index 00000000000..fd3b0edea3f
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-24.svg	
@@ -0,0 +1,110 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F6E1DC;}
+	.st1{fill:#F0AF9B;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#080717;}
+	.st4{fill:none;stroke:#85BAC6;stroke-width:0.4121;stroke-miterlimit:10;}
+	.st5{fill:#F2ECDE;}
+	.st6{fill:#85BAC6;}
+	.st7{fill:#FCDEDE;}
+	.st8{fill:#AAD2DC;}
+	.st9{fill:#F5F5F5;}
+	.st10{fill:#E8EDC5;}
+	.st11{fill:#B9D2D7;}
+	.st12{fill:#FFFFFF;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st13{fill:#CEE1E7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#FDEDE0;}
+	.st17{fill:#C7E1E0;}
+	.st18{fill:#EFCBBF;}
+	.st19{fill:#23285C;}
+	.st20{fill:#010101;}
+	.st21{fill:#C6E0F5;}
+	.st22{fill:#DDD6CC;}
+	.st23{fill:#E0E0E0;}
+	.st24{fill:#F3F3F3;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4658 172.5338)" class="st16" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<ellipse transform="matrix(0.989 -0.1481 0.1481 0.989 -17.19 26.4064)" cx="168.75" cy="128.65" rx="78.66" ry="78.66"/>
+		<ellipse transform="matrix(0.3382 -0.9411 0.9411 0.3382 -100.2877 224.4199)" cx="109.43" cy="183.52" rx="57.15" ry="57.15"/>
+		<g>
+			<path d="M235.55,249.48c-34.36,0-62.32-27.96-62.32-62.32c0-34.36,27.96-62.32,62.32-62.32c34.36,0,62.32,27.96,62.32,62.32
+				C297.87,221.52,269.92,249.48,235.55,249.48z M235.55,129.11c-32.01,0-58.05,26.04-58.05,58.05s26.04,58.05,58.05,58.05
+				s58.05-26.04,58.05-58.05S267.56,129.11,235.55,129.11z"/>
+		</g>
+		<ellipse transform="matrix(0.9521 -0.3057 0.3057 0.9521 -47.2284 78.8329)" cx="228.06" cy="190.19" rx="57.15" ry="57.15"/>
+		<path class="st2" d="M127.01,98.88l-2.21-8.85c-16.62,10.36-27.71,28.75-27.71,49.78v27.73c0,21.63,17.53,39.16,39.16,39.16h5.94
+			v41.56h51.29V142.15C163.66,147.32,134.46,128.72,127.01,98.88z"/>
+		<path d="M136.92,137.2c1.31,3.35,4.32,5.29,6.73,4.35c2.41-0.94,3.3-4.42,1.99-7.76c-1.31-3.35-4.32-5.29-6.73-4.35
+			C136.5,130.38,135.61,133.85,136.92,137.2z"/>
+		<g>
+			<path d="M138.57,187.98c-6.3,0-9.58-6.08-12.6-15.67c-0.18-0.57-0.11-1.19,0.18-1.7c0.3-0.52,0.8-0.89,1.38-1.02
+				c5.85-1.34,19.81-4.3,23.03-2.94c0.85,0.36,2.25,1.4,2.02,4.32c-0.39,4.8-5.69,15.3-11.18,16.64
+				C140.4,187.86,139.45,187.98,138.57,187.98z M130.78,173.24c4,11.59,6.97,10.86,9.62,10.22c1.03-0.25,2.98-1.83,5.1-5.45
+				c1.95-3.33,2.79-6.25,2.85-7.51C145.85,170.34,138.01,171.67,130.78,173.24z"/>
+		</g>
+		<g>
+			<path d="M121.99,162.31c-0.04,0-0.08,0-0.12,0c-0.93-0.05-9.15-0.65-11.74-5.45c-0.85-1.56-1.41-4.19,0.69-7.83
+				c5.06-8.78,6.9-20.46,6.92-20.58c0.18-1.17,1.27-1.97,2.43-1.79c1.17,0.18,1.97,1.27,1.79,2.43c-0.08,0.51-1.97,12.57-7.44,22.07
+				c-0.89,1.55-1.11,2.78-0.63,3.67c1.15,2.13,6.04,3.09,8.23,3.22c1.18,0.07,2.08,1.08,2.01,2.26
+				C124.05,161.43,123.11,162.31,121.99,162.31z"/>
+		</g>
+		<g>
+			<path d="M153.4,126.51c-0.46,0-0.92-0.15-1.31-0.45c-2.27-1.75-5.41-2.85-8.84-3.1c-4.18-0.3-8.14,0.75-10.61,2.8
+				c-0.91,0.75-2.26,0.63-3.01-0.28c-0.75-0.91-0.63-2.26,0.28-3.01c3.29-2.73,8.4-4.14,13.64-3.77c4.27,0.3,8.23,1.71,11.16,3.98
+				c0.93,0.72,1.1,2.06,0.38,3C154.67,126.23,154.04,126.51,153.4,126.51z"/>
+		</g>
+		<path d="M99.82,143.76c1.31,3.35,4.32,5.29,6.73,4.35c2.41-0.94,3.3-4.42,1.99-7.76c-1.31-3.35-4.32-5.29-6.73-4.35
+			C99.4,136.94,98.51,140.41,99.82,143.76z"/>
+		<g>
+			<path d="M116.3,133.07c-0.46,0-0.92-0.15-1.31-0.45c-2.27-1.75-5.41-2.85-8.84-3.1c-4.17-0.3-8.14,0.75-10.61,2.8
+				c-0.91,0.75-2.26,0.63-3.01-0.28c-0.75-0.91-0.63-2.26,0.28-3.01c3.29-2.73,8.4-4.13,13.64-3.77c4.27,0.3,8.23,1.72,11.16,3.98
+				c0.93,0.72,1.11,2.06,0.38,3C117.57,132.79,116.94,133.07,116.3,133.07z"/>
+		</g>
+		<g>
+			<path d="M141.91,211.18c-1.16,0-2.11-0.92-2.13-2.09c-0.03-1.18,0.91-2.16,2.09-2.18c20.99-0.48,31.5-20.52,31.6-20.72
+				c0.54-1.05,1.83-1.46,2.88-0.93c1.05,0.54,1.46,1.83,0.93,2.88c-0.47,0.92-11.79,22.51-35.31,23.05
+				C141.95,211.18,141.93,211.18,141.91,211.18z"/>
+		</g>
+		<path class="st2" d="M221.44,157.74c0,10.12-8.2,18.32-18.32,18.32c-10.12,0-18.32-8.2-18.32-18.32c0-10.12,8.2-18.32,18.32-18.32
+			C213.24,139.41,221.44,147.62,221.44,157.74z"/>
+		<g>
+			<path d="M195.79,159.88c-1.18,0-2.14-0.96-2.14-2.14c0-6.63,5.4-12.03,12.03-12.03c1.18,0,2.14,0.96,2.14,2.14
+				c0,1.18-0.96,2.14-2.14,2.14c-4.28,0-7.76,3.48-7.76,7.76C197.92,158.92,196.97,159.88,195.79,159.88z"/>
+		</g>
+		<g>
+			<path d="M70.25,310.08c-0.13,0-0.27-0.01-0.4-0.04c-1.16-0.22-1.92-1.34-1.7-2.5l5.83-30.61c3.57-18.73,17.16-33.67,35.47-38.99
+				l30.31-8.8c1.14-0.33,2.32,0.32,2.65,1.46c0.33,1.13-0.32,2.32-1.46,2.65l-30.31,8.8c-16.76,4.87-29.2,18.54-32.46,35.68
+				l-5.83,30.61C72.16,309.37,71.26,310.08,70.25,310.08z"/>
+		</g>
+		<g>
+			<path d="M273,312.92c-1.14,0-2.08-0.9-2.13-2.04l-0.52-11.7c-0.81-18.26-11.69-34.22-28.4-41.65l-22.87-10.16
+				c-1.08-0.48-1.56-1.74-1.09-2.82c0.48-1.08,1.74-1.56,2.82-1.09l22.87,10.16c18.2,8.09,30.05,25.47,30.93,45.37l0.52,11.7
+				c0.05,1.18-0.86,2.18-2.04,2.23C273.06,312.92,273.03,312.92,273,312.92z"/>
+		</g>
+		<g>
+			<path d="M160.61,273.15c-34.01,0-44.9-30.52-45-30.83c-0.38-1.12,0.21-2.33,1.32-2.71c1.11-0.39,2.33,0.21,2.72,1.32
+				c0.41,1.18,10.34,28.75,42.45,27.93c32.49-0.9,46.36-26.09,46.49-26.35c0.56-1.04,1.85-1.43,2.89-0.87
+				c1.04,0.56,1.43,1.85,0.87,2.89c-0.6,1.13-15.2,27.63-50.14,28.6C161.67,273.15,161.14,273.15,160.61,273.15z"/>
+		</g>
+		<g>
+			<path d="M221.6,336.37c-1.03,0-1.94-0.75-2.11-1.8l-3.55-22.03c-0.19-1.16,0.6-2.26,1.77-2.45c1.17-0.19,2.26,0.61,2.45,1.77
+				l3.55,22.03c0.19,1.16-0.6,2.26-1.77,2.45C221.83,336.36,221.71,336.37,221.6,336.37z"/>
+		</g>
+		<g>
+			<path d="M109.33,331.4c-0.03,0-0.06,0-0.08,0c-1.18-0.04-2.1-1.04-2.05-2.22l0.71-18.47c0.05-1.18,1.03-2.11,2.22-2.05
+				c1.18,0.04,2.1,1.04,2.05,2.22l-0.71,18.47C111.42,330.5,110.48,331.4,109.33,331.4z"/>
+		</g>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-25.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-25.svg
new file mode 100644
index 00000000000..f5df7a6b953
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-25.svg	
@@ -0,0 +1,79 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F6E1DC;}
+	.st1{fill:#F0AF9B;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#080717;}
+	.st4{fill:none;stroke:#85BAC6;stroke-width:0.4121;stroke-miterlimit:10;}
+	.st5{fill:#F2ECDE;}
+	.st6{fill:#85BAC6;}
+	.st7{fill:#FCDEDE;}
+	.st8{fill:#AAD2DC;}
+	.st9{fill:#F5F5F5;}
+	.st10{fill:#E8EDC5;}
+	.st11{fill:#B9D2D7;}
+	.st12{fill:#FFFFFF;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st13{fill:#CEE1E7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#FDEDE0;}
+	.st17{fill:#C7E1E0;}
+	.st18{fill:#EFCBBF;}
+	.st19{fill:#23285C;}
+	.st20{fill:#010101;}
+	.st21{fill:#C6E0F5;}
+	.st22{fill:#DDD6CC;}
+	.st23{fill:#E0E0E0;}
+	.st24{fill:#F3F3F3;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4658 172.5338)" class="st13" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<path d="M158.84,245.42c-48.86,0-95.13,4.33-136.45,12.07c29.64,52.28,85.76,87.58,150.15,87.58
+			c62.28,0,116.85-33.01,147.18-82.48C272.55,251.68,217.57,245.42,158.84,245.42z"/>
+		<g>
+			<path class="st2" d="M259.52,152.48l-5.74-15.04l3.97-2.87c3.43-2.48,3.94-7.39,1.1-10.53l-14.11-13.27l-17.4-42.63l-74.49,42.7
+				c0,0-23.02,10.79-30.21,28.92c-7.18,18.13-38.31,89.27-51.94,91.75c-6.62,1.2-18.44,3.64-26.23,9.37
+				c19.22,32.69,77.76,43.92,138.13,24.63c13.13-4.2,25.34-9.53,36.4-15.68l-56.08-3.98l50.31-70.93l26.86,2.83
+				C253.96,179.2,264.49,165.51,259.52,152.48z"/>
+			<path d="M124.69,276.99c-37.37,0-68.77-12.41-82.06-35.03c-0.55-0.94-0.31-2.15,0.58-2.8c7.82-5.75,19.22-8.32,27.12-9.75
+				c10.41-1.89,37.88-58.99,50.33-90.43c7.41-18.7,30.31-29.61,31.29-30.06l74.33-42.62c0.53-0.3,1.18-0.37,1.76-0.17
+				c0.58,0.2,1.05,0.64,1.28,1.21l17.22,42.2l13.77,12.95c1.88,2.06,2.74,4.68,2.47,7.29c-0.27,2.61-1.65,4.99-3.78,6.53l-2.64,1.91
+				l5.16,13.51c2.6,6.82,1.5,14.35-2.95,20.13c-4.45,5.79-11.44,8.77-18.7,8.02l-25.61-2.7l-47.39,66.82l52.29,3.71
+				c0.94,0.07,1.73,0.75,1.93,1.67c0.21,0.92-0.22,1.87-1.05,2.33c-11.49,6.39-23.87,11.72-36.79,15.85
+				C163.26,273.93,143.24,276.99,124.69,276.99z M47.36,241.49c19.93,30.82,77.21,40.31,134.59,21.98
+				c10.23-3.27,20.11-7.31,29.47-12.04l-48.65-3.45c-0.77-0.05-1.45-0.52-1.78-1.22c-0.33-0.7-0.26-1.52,0.19-2.15l50.31-70.93
+				c0.45-0.63,1.19-0.96,1.97-0.89l26.86,2.83c5.77,0.61,11.33-1.77,14.86-6.37c3.54-4.6,4.41-10.58,2.35-16l0,0l-5.74-15.04
+				c-0.35-0.9-0.04-1.93,0.74-2.49l3.97-2.87c1.16-0.84,1.88-2.08,2.03-3.51c0.15-1.42-0.3-2.79-1.26-3.85l-14-13.15
+				c-0.22-0.21-0.4-0.47-0.51-0.75l-16.47-40.37l-72.37,41.49c-0.38,0.18-22.5,10.74-29.28,27.85c-0.36,0.9-36.35,89.94-53.54,93.06
+				C64.15,234.86,54.4,237.02,47.36,241.49z"/>
+		</g>
+		<path d="M106.42,104.59c-46.13,84.12-94.28,78.05-94.28,78.05s-4.64-0.83-11.88-0.82c1.26,23.72,7.32,46.16,17.2,66.39l75.5-5.21
+			l61.57-85.51c0,0-25.52-14.34-17.97-27.13c7.55-12.79,18.5-9.71,24.76-7.84c6.26,1.87,25.05,7.47,37.62-10.26
+			c12.58-17.73,30.03-46.28,30.03-46.28S164.53-1.38,106.42,104.59z"/>
+		<g>
+			<path d="M157.6,149.42c-0.33,0-0.66-0.08-0.97-0.24c-1.05-0.54-1.46-1.83-0.92-2.88c1.32-2.57,1.2-5.89-0.32-8.88
+				c-1.52-2.99-4.14-5.04-6.99-5.48c-1.17-0.18-1.96-1.27-1.78-2.44c0.18-1.17,1.28-1.95,2.44-1.78c4.21,0.65,8,3.56,10.14,7.76
+				c2.14,4.21,2.26,8.98,0.31,12.77C159.13,148.99,158.38,149.42,157.6,149.42z"/>
+		</g>
+		<g>
+			<path d="M216.81,116.27c-0.19,0-0.38-0.03-0.57-0.08c-1.14-0.31-1.81-1.49-1.5-2.63c1.97-7.16,7.9-12.92,15.12-14.67
+				c1.14-0.28,2.3,0.42,2.58,1.57c0.28,1.15-0.43,2.3-1.57,2.58c-5.64,1.37-10.47,6.05-12.01,11.65
+				C218.61,115.65,217.75,116.27,216.81,116.27z"/>
+		</g>
+		<g>
+			<path d="M244.05,163.76c-3.69,0-7.4-1.6-9.77-4.47c-0.75-0.91-0.62-2.26,0.29-3.01c0.91-0.75,2.26-0.62,3.01,0.29
+				c2.24,2.73,6.51,3.71,9.71,2.23c1.07-0.49,2.34-0.03,2.84,1.05c0.49,1.07,0.03,2.34-1.05,2.84
+				C247.5,163.41,245.78,163.76,244.05,163.76z"/>
+		</g>
+		<path d="M231.96,118.66c-0.68-2.62-2.55-4.39-4.17-3.97c-1.63,0.42-2.39,2.88-1.71,5.5c0.68,2.62,2.55,4.39,4.17,3.97
+			C231.88,123.74,232.64,121.28,231.96,118.66z"/>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-26.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-26.svg
new file mode 100644
index 00000000000..5d2d1d26bd7
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-26.svg	
@@ -0,0 +1,98 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F6E1DC;}
+	.st1{fill:#F0AF9B;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#080717;}
+	.st4{fill:none;stroke:#85BAC6;stroke-width:0.4121;stroke-miterlimit:10;}
+	.st5{fill:#F2ECDE;}
+	.st6{fill:#85BAC6;}
+	.st7{fill:#FCDEDE;}
+	.st8{fill:#AAD2DC;}
+	.st9{fill:#F5F5F5;}
+	.st10{fill:#E8EDC5;}
+	.st11{fill:#B9D2D7;}
+	.st12{fill:#FFFFFF;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st13{fill:#CEE1E7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#FDEDE0;}
+	.st17{fill:#C7E1E0;}
+	.st18{fill:#EFCBBF;}
+	.st19{fill:#23285C;}
+	.st20{fill:#010101;}
+	.st21{fill:#C6E0F5;}
+	.st22{fill:#DDD6CC;}
+	.st23{fill:#E0E0E0;}
+	.st24{fill:#F3F3F3;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4658 172.5338)" class="st23" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<g>
+			<path d="M54.68,300.62c-0.19,0-0.38-0.03-0.58-0.08c-1.14-0.32-1.8-1.5-1.48-2.63c4.25-15.22,10.19-26.01,17.65-32.09
+				c5.69-6.99,13.06-12.36,21.32-15.52l101.41-35.86c32.66-11.55,69.59-3.12,94.09,21.48c10.33,10.38,20.41,21.1,29.96,31.87
+				c0.78,0.88,0.7,2.23-0.18,3.02c-0.88,0.78-2.23,0.7-3.02-0.18c-9.49-10.71-19.51-21.37-29.79-31.69
+				c-23.34-23.44-58.53-31.48-89.64-20.47L93.07,254.31c-7.58,2.9-14.38,7.88-19.62,14.37c-0.1,0.12-0.21,0.23-0.33,0.33
+				c-6.84,5.48-12.35,15.59-16.39,30.05C56.47,300,55.61,300.62,54.68,300.62z"/>
+		</g>
+		<path class="st2" d="M146.83,68.45c0,0-50.37,49.76-63.11,81.92c-12.74,32.16-5.16,58.56,37.93,50.67c0,0,7.28-7.28,9.1,9.1
+			c1.89,17.02,3.34,33.68,3.34,33.68s3.67,18.64,19.3,18.64c31.11,0,55.22-23.44,47.45-22.28c0,0-8.8-24.27-6.98-38.84
+			c1.82-14.56,6.06-29.75,6.06-29.75l13.35-4.85c0,0,16.69-7.27,13.05-32.76C222.68,108.5,204.48,55.71,146.83,68.45z"/>
+		<path d="M113.2,117.6c-0.98,2.07-2.97,3.19-4.45,2.49c-1.48-0.7-1.89-2.95-0.91-5.02c0.98-2.07,2.97-3.19,4.45-2.49
+			C113.76,113.28,114.17,115.52,113.2,117.6z"/>
+		<path d="M143.92,129.04c-0.98,2.07-2.97,3.19-4.45,2.49c-1.48-0.7-1.89-2.95-0.91-5.02c0.98-2.07,2.97-3.19,4.45-2.49
+			C144.49,124.72,144.9,126.96,143.92,129.04z"/>
+		<g>
+			<path d="M158.39,120.26c-0.79,0-1.55-0.44-1.92-1.2c-4.5-9.21-15.05-4.92-15.49-4.73c-1.09,0.45-2.34-0.06-2.8-1.15
+				c-0.46-1.09,0.06-2.34,1.15-2.8c5.07-2.12,15.99-3.44,20.98,6.8c0.52,1.06,0.08,2.34-0.98,2.86
+				C159.02,120.19,158.7,120.26,158.39,120.26z"/>
+		</g>
+		<g>
+			<path d="M121.37,112.37c-0.79,0-1.55-0.44-1.92-1.2c-4.47-9.16-15.05-4.91-15.5-4.73c-1.08,0.45-2.34-0.07-2.79-1.15
+				c-0.45-1.09,0.06-2.33,1.14-2.79c5.07-2.13,15.99-3.44,20.98,6.8c0.52,1.06,0.08,2.34-0.98,2.86
+				C122.01,112.3,121.69,112.37,121.37,112.37z"/>
+		</g>
+		<g>
+			<path d="M106.3,204.95c-8.18,0-14.79-1.92-19.79-5.76c-13.54-10.4-10.18-31.07-8.83-37.15c4.9-22.05,47.13-77.95,48.93-80.32
+				c0.71-0.94,2.05-1.13,2.99-0.41c0.94,0.71,1.12,2.05,0.41,2.99c-0.43,0.57-43.47,57.53-48.16,78.67
+				c-1.21,5.46-4.28,23.97,7.26,32.84c9.05,6.95,30.18,9.86,79.48-15.78c1.05-0.55,2.34-0.14,2.88,0.91
+				c0.54,1.05,0.14,2.34-0.91,2.88C143.5,197.89,122,204.94,106.3,204.95z"/>
+		</g>
+		<g>
+			<path class="st3" d="M114.96,148.86c-0.16,0-0.32-0.02-0.48-0.05c-3.18-0.73-5.33-2.22-6.39-4.43c-1.53-3.17-0.08-6.41,0.09-6.76
+				l11.92-20.19c0.6-1.02,1.91-1.35,2.93-0.75c1.02,0.6,1.35,1.91,0.75,2.93l-11.83,20.01c0,0,0,0,0,0c0.02,0-0.65,1.63-0.01,2.93
+				c0.48,0.97,1.65,1.68,3.5,2.1c1.15,0.27,1.87,1.41,1.6,2.56C116.82,148.19,115.94,148.86,114.96,148.86z"/>
+		</g>
+		<g>
+			<path class="st3" d="M115.22,167.24c-8.44,0-13.45-4.05-13.76-4.31c-0.91-0.76-1.03-2.1-0.27-3.01c0.75-0.9,2.09-1.03,3-0.28
+				c0.42,0.34,10.11,7.97,25.79-1.11c1.02-0.59,2.33-0.24,2.92,0.78c0.59,1.02,0.24,2.33-0.78,2.92
+				C125.58,166.01,119.88,167.24,115.22,167.24z"/>
+		</g>
+		<path d="M173.83,138.53c0,0,21.85-31.86,12.74-42.78c-9.1-10.92-45.51-8.19-50.06-5.46c-4.55,2.73-1.82-6.37-1.82-6.37
+			l-18.21,7.28c0,0,0.91-23.67,16.38-30.04c15.47-6.37,10.01-1.82,10.01-1.82s-2.73-15.47,20.94-16.38
+			c23.67-0.91,57.35,14.56,61.9,22.76c4.55,8.19,21.85,37.32,19.12,58.26c-2.73,20.94-20.94,21.85-20.94,21.85s0-14.56-19.12-13.65
+			c-19.12,0.91-19.12,14.56-19.12,14.56L173.83,138.53z"/>
+		<g>
+			<path d="M190.21,157.96c-0.2,0-0.4-0.03-0.6-0.09c-1.13-0.33-1.78-1.52-1.45-2.65c0.13-0.44,3.27-10.92,10.94-14.12
+				c4.14-1.72,8.91-1.22,12.77,1.35c2.94,1.96,4.76,4.75,4.76,7.3c0,1.18-0.96,2.14-2.14,2.14c-1.18,0-2.14-0.96-2.14-2.14
+				c0-0.91-0.98-2.49-2.85-3.74c-1.28-0.85-4.7-2.65-8.75-0.96c-5.77,2.41-8.46,11.28-8.48,11.37
+				C191.99,157.36,191.13,157.96,190.21,157.96z"/>
+		</g>
+		<g>
+			<path d="M155.93,264.61c-2.55,0-5.04-0.33-7.42-1.08c-8.64-2.72-14.5-10.41-17.42-22.87c-4.18-17.83-6.1-40.74-6.12-40.97
+				c-0.1-1.18,0.78-2.21,1.95-2.3c1.17-0.11,2.21,0.78,2.3,1.95c0.02,0.23,1.92,22.83,6.02,40.35c2.55,10.88,7.44,17.54,14.54,19.77
+				c17.34,5.46,43.34-15.52,48.65-20.02l-1.17-4.65c-12.61-30.56-1.47-59.03,0.45-63.5c0-1.38,1.69-1.97,14.84-6.55
+				c10.14-3.53,11.91-21.66,11.92-21.84c0.11-1.17,1.16-2.05,2.32-1.94c1.17,0.11,2.04,1.14,1.94,2.32
+				c-0.08,0.86-2.03,21.06-14.78,25.49c-8.25,2.87-11.3,4-12.41,4.44c-1.93,4.71-11.98,31.87-0.27,60.08c0.04,0.1,0.07,0.2,0.1,0.3
+				l1.52,6.08c0.19,0.77-0.06,1.58-0.65,2.11C201.1,242.82,176.54,264.61,155.93,264.61z"/>
+		</g>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-27.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-27.svg
new file mode 100644
index 00000000000..805d92ad42d
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-01-27.svg	
@@ -0,0 +1,113 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F6E1DC;}
+	.st1{fill:#F0AF9B;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#080717;}
+	.st4{fill:none;stroke:#85BAC6;stroke-width:0.4121;stroke-miterlimit:10;}
+	.st5{fill:#F2ECDE;}
+	.st6{fill:#85BAC6;}
+	.st7{fill:#FCDEDE;}
+	.st8{fill:#AAD2DC;}
+	.st9{fill:#F5F5F5;}
+	.st10{fill:#E8EDC5;}
+	.st11{fill:#B9D2D7;}
+	.st12{fill:#FFFFFF;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st13{fill:#CEE1E7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#FDEDE0;}
+	.st17{fill:#C7E1E0;}
+	.st18{fill:#EFCBBF;}
+	.st19{fill:#23285C;}
+	.st20{fill:#010101;}
+	.st21{fill:#C6E0F5;}
+	.st22{fill:#DDD6CC;}
+	.st23{fill:#E0E0E0;}
+	.st24{fill:#F3F3F3;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4658 172.5338)" class="st10" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<g>
+			<path class="st2" d="M229.26,127.48c-9.72-4.98-16.17-1.87-19.88,1.61c-0.51,0.49-1,1-1.47,1.54c4.08-21.07,1.09-37.09-8.93-47.7
+				c-8.71-9.22-23-14.29-41.33-14.66c-13.75-0.28-25.09,2.2-25.21,2.22c-0.34,0.08-0.63,0.31-0.78,0.62
+				c-1.13,2.38-27.57,58.55-25.8,87.98c1.76,29.47,2.27,38.79,2.27,38.79c0.02,0.33,0.18,0.63,0.43,0.83
+				c0.17,0.13,10.9,8.24,30.21,8.81l-3.18,25.18c-0.04,0.34,0.07,0.68,0.31,0.93c0.31,0.33,5.02,4.88,21.04,4.88
+				c11.29,0,28.21-2.26,53.17-9.87c0.46-0.14,0.78-0.55,0.8-1.03l2.74-56.91c7.8,0.63,16.51-5.05,21.14-14.54
+				C240.47,144.57,238.04,131.97,229.26,127.48z"/>
+			<path class="st3" d="M215.77,58.49c-9.85,0-18.89,3.49-25.95,9.31c26.79,7.47,46.51,32.77,46.51,62.85
+				c0,1.33-0.05,2.64-0.13,3.94c12.17-7.07,20.37-20.2,20.37-35.29C256.58,76.77,238.31,58.49,215.77,58.49z"/>
+			<path class="st3" d="M208.53,154.99l24.94-1.26l14.07-27.57c6.95-13.63,5.8-29.99-3.03-42.48
+				c-9.83-13.91-21.76-29.71-25.14-29.71c-3.84,0-48.86-6.48-76.96-7.97c-15.81-0.83-29.29,11.31-30.12,27.11l4.29,33.26
+				l16.12-36.28c0,0,25.19,27.21,67.52,24.19L208.53,154.99z"/>
+			<g>
+				<path class="st6" d="M159.53,139.86c-10.21,0-18.51-8.3-18.51-18.51c0-10.21,8.3-18.51,18.51-18.51s18.51,8.3,18.51,18.51
+					C178.04,131.56,169.73,139.86,159.53,139.86z M159.53,107.11c-7.85,0-14.24,6.39-14.24,14.24s6.39,14.24,14.24,14.24
+					s14.24-6.39,14.24-14.24S167.38,107.11,159.53,107.11z"/>
+			</g>
+			<g>
+				<path class="st3" d="M131.56,164.93c-1.07,0-2-0.8-2.12-1.9c-0.13-1.17,0.71-2.23,1.88-2.36l16.63-1.89
+					c1.21-0.14,2.23,0.71,2.36,1.88c0.13,1.17-0.71,2.23-1.88,2.36l-16.63,1.89C131.72,164.93,131.64,164.93,131.56,164.93z"/>
+			</g>
+			<g>
+				<path class="st2" d="M209.26,168.34c8.17,3.99,19.15-1.69,24.53-12.7c5.38-11.01,3.12-23.16-5.04-27.16
+					c-8.17-3.99-19.15,1.69-24.53,12.7L209.26,168.34z"/>
+				<path d="M214.82,171.74c-2.25,0-4.45-0.48-6.51-1.48c-1.06-0.52-1.5-1.8-0.98-2.86c0.52-1.06,1.8-1.5,2.86-0.98
+					c7.1,3.48,16.82-1.79,21.67-11.72c4.86-9.93,3.03-20.83-4.06-24.3c-7.1-3.47-16.82,1.79-21.67,11.72
+					c-0.52,1.06-1.79,1.5-2.86,0.98c-1.06-0.52-1.5-1.8-0.98-2.86c5.89-12.04,18.18-18.18,27.39-13.68
+					c9.21,4.51,11.91,17.97,6.02,30.02C231.13,165.95,222.69,171.74,214.82,171.74z"/>
+			</g>
+			<g>
+				<path class="st6" d="M141.7,116.81h-11.27c-1.18,0-2.14-0.96-2.14-2.14c0-1.18,0.96-2.14,2.14-2.14h11.27
+					c1.18,0,2.14,0.96,2.14,2.14C143.83,115.86,142.88,116.81,141.7,116.81z"/>
+			</g>
+			<path class="st3" d="M155.87,118.58c0,3.27,1.41,5.92,3.15,5.92c1.74,0,3.15-2.65,3.15-5.92c0-3.27-1.41-5.92-3.15-5.92
+				C157.28,112.66,155.87,115.31,155.87,118.58z"/>
+			<path class="st3" d="M119.59,114.05c0,3.27,1.41,5.92,3.15,5.92c1.74,0,3.15-2.65,3.15-5.92c0-3.27-1.41-5.92-3.15-5.92
+				C121,108.13,119.59,110.78,119.59,114.05z"/>
+			<g>
+				<path class="st6" d="M209.03,135.71c-0.25,0-0.49-0.04-0.74-0.13l-33.13-12.22c-1.11-0.41-1.67-1.64-1.27-2.74
+					c0.41-1.11,1.64-1.67,2.74-1.26l33.13,12.22c1.11,0.41,1.67,1.64,1.27,2.74C210.72,135.17,209.9,135.71,209.03,135.71z"/>
+			</g>
+			<g>
+				<path class="st3" d="M140.6,208.73c-20.54,0-31.93-8.66-32.66-9.23c-0.48-0.38-0.78-0.95-0.81-1.57c0-0.01-0.5-9.33-2.27-38.79
+					c-1.78-29.68,24.77-86.08,25.9-88.46c0.5-1.07,1.78-1.52,2.85-1.02c1.07,0.51,1.52,1.78,1.02,2.85
+					c-0.27,0.57-27.21,57.79-25.5,86.38c1.44,23.99,2.04,34.63,2.21,37.77c4.61,3.02,30.07,17.32,71.03-3.27
+					c1.06-0.53,2.34-0.1,2.87,0.95c0.53,1.05,0.1,2.34-0.95,2.87C166.96,205.92,152.3,208.73,140.6,208.73z"/>
+			</g>
+			<g>
+				<path class="st3" d="M209.79,229.68c-0.04,0-0.07,0-0.1,0c-1.18-0.06-2.09-1.06-2.03-2.24l2.77-57.44
+					c0.06-1.18,1.15-2.05,2.24-2.03c1.18,0.06,2.09,1.06,2.03,2.24l-2.77,57.44C211.86,228.79,210.92,229.68,209.79,229.68z"/>
+			</g>
+			<g>
+				<path class="st3" d="M136.73,234.97c-0.09,0-0.18-0.01-0.27-0.02c-1.17-0.15-2-1.22-1.85-2.39l3.27-25.95
+					c0.15-1.17,1.23-2,2.39-1.85c1.17,0.15,2,1.22,1.85,2.39l-3.27,25.95C138.71,234.18,137.79,234.97,136.73,234.97z"/>
+			</g>
+			<g>
+				<path class="st6" d="M115.82,134.57c-10.21,0-18.51-8.3-18.51-18.51c0-10.21,8.3-18.51,18.51-18.51
+					c8.75,0,16.38,6.22,18.13,14.78c0.24,1.16-0.51,2.29-1.66,2.52c-1.16,0.24-2.28-0.51-2.52-1.66
+					c-1.35-6.59-7.21-11.37-13.95-11.37c-7.85,0-14.24,6.39-14.24,14.24s6.39,14.24,14.24,14.24c1.92,0,3.79-0.38,5.54-1.12
+					c1.09-0.46,2.34,0.05,2.8,1.14c0.46,1.09-0.05,2.34-1.14,2.8C120.74,134.08,118.31,134.57,115.82,134.57z"/>
+			</g>
+			<g>
+				<path class="st3" d="M131.18,153.6c-0.41,0-0.82-0.12-1.18-0.36c-2.74-1.83-11.75-8.13-12.48-12.39
+					c-0.22-1.3,0.22-2.22,0.62-2.76c1.54-2.05,10.86-23.08,16.38-35.84c0.47-1.08,1.72-1.58,2.81-1.11
+					c1.08,0.47,1.58,1.72,1.11,2.81c-1.44,3.33-13.8,31.9-16.66,36.39c0.59,1.64,5.38,5.88,10.59,9.36
+					c0.98,0.66,1.25,1.98,0.59,2.96C132.55,153.26,131.87,153.6,131.18,153.6z"/>
+			</g>
+		</g>
+		<path d="M213.43,277.36h-81.01c-2.67,0-4.84-2.17-4.84-4.84v-46.94c0-2.67,2.17-4.84,4.84-4.84h81.01c2.67,0,4.84,2.17,4.84,4.84
+			v46.94C218.27,275.19,216.1,277.36,213.43,277.36z"/>
+		<path d="M289.84,286.25c0,0-8.88-14.39-21.3-19.54c-5.87-3.84-13.19-6.5-21.43-7.42l-117.46-13.15
+			c-17.64-1.97-35.53,4.36-45.28,16.07c-6.27,7.53-12.18,34.76-12.32,49.59c0,0.31,0,0.62,0,0.93
+			c28.31,20.33,62.99,32.33,100.5,32.33c47.83,0,91.11-19.47,122.37-50.92C291.75,289.18,289.84,286.25,289.84,286.25z"/>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-01.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-01.svg
new file mode 100644
index 00000000000..6c52670094a
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-01.svg	
@@ -0,0 +1,113 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F5F5F5;}
+	.st1{fill:#E8EDC5;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#85BAC6;}
+	.st4{fill:#F6E1DC;}
+	.st5{fill:#080717;}
+	.st6{fill:none;stroke:#080717;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st7{fill:#F2ECDE;}
+	.st8{fill:#C7E1E0;}
+	.st9{fill:#FCDEDE;}
+	.st10{fill:#EFCBBF;}
+	.st11{fill:#CEE1E7;}
+	.st12{fill:#FDEDE0;}
+	.st13{fill:#B9D2D7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#DDD6CC;}
+	.st17{fill:#F3F3F3;}
+	.st18{fill:#E0D5C1;}
+	.st19{fill:none;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st20{fill:#E0E0E0;}
+	.st21{fill:#DBDDC0;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4658 172.5338)" class="st7" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<g>
+			<path class="st3" d="M172.53,345.07c65.19,0,121.92-36.17,151.27-89.52c-18.18-16.63-33.24-29.97-43.06-38.56
+				c-7.98-6.98-19.61-9.18-30.77-6.36c-35.05,8.86-110.29,29.01-132.27,44.02c-12.23,8.35-20.06,38.63-25.01,70.83
+				C116.57,337.96,143.72,345.07,172.53,345.07z"/>
+			<g>
+				<polygon class="st3" points="196.55,216.5 210.44,214.76 223.47,237.34 203.5,273.81 174.28,255.43 152.26,280.75
+					154.87,237.34 				"/>
+				<path d="M152.26,282.89c-0.27,0-0.55-0.05-0.81-0.16c-0.85-0.35-1.38-1.19-1.33-2.11l2.6-43.42c0.07-1.18,1.1-2.09,2.26-2
+					c1.18,0.07,2.08,1.08,2.01,2.26l-2.23,37.15l17.9-20.58c0.69-0.79,1.86-0.97,2.75-0.41l27.29,17.17l18.3-33.43l-11.71-20.31
+					l-12.49,1.56c-1.19,0.14-2.24-0.69-2.39-1.86c-0.15-1.17,0.68-2.24,1.85-2.39l13.89-1.74c0.86-0.11,1.69,0.31,2.12,1.05
+					l13.03,22.58c0.37,0.65,0.38,1.44,0.02,2.09l-19.97,36.47c-0.28,0.52-0.77,0.89-1.34,1.04c-0.57,0.15-1.18,0.06-1.68-0.26
+					l-27.67-17.4l-20.81,23.94C153.46,282.63,152.87,282.89,152.26,282.89z"/>
+			</g>
+			<g>
+
+					<rect x="150.04" y="196.91" transform="matrix(0.7071 -0.7071 0.7071 0.7071 -107.0279 186.3158)" class="st2" width="42.69" height="50.87"/>
+				<path d="M174.28,257.57c-0.55,0-1.09-0.21-1.51-0.63l-35.97-35.97c-0.83-0.83-0.83-2.19,0-3.02l30.19-30.19
+					c0.83-0.83,2.19-0.83,3.02,0l35.97,35.97c0.83,0.83,0.83,2.19,0,3.02l-30.19,30.19C175.37,257.36,174.83,257.57,174.28,257.57z
+					 M141.33,219.46l32.95,32.95l27.17-27.17l-32.95-32.95L141.33,219.46z"/>
+			</g>
+			<path d="M246.86,127.09c0.71-4.01-0.19-8.05-2.52-11.39c-1.84-2.63-4.41-4.53-7.38-5.58c0.51-0.54,1.02-1.08,1.45-1.69
+				c2.33-3.34,3.23-7.38,2.52-11.39c-1.29-7.3-7.59-12.6-15-12.6c-0.03,0-0.07,0.01-0.1,0.01c1.83-4.27,1.75-9.3-0.75-13.63
+				c-2.71-4.7-7.78-7.62-13.21-7.62c-1.81,0-3.59,0.35-5.28,0.98c0.04-0.74,0.09-1.47,0.02-2.22c-0.35-4.05-2.27-7.73-5.38-10.35
+				c-2.74-2.3-6.22-3.57-9.79-3.57c-3.66,0-7.11,1.35-9.85,3.69c-1.33-4.47-4.64-8.3-9.35-10.01c-1.68-0.61-3.44-0.92-5.21-0.92
+				c-5.52,0-10.55,3.02-13.23,7.71c-2.78-3.72-7.18-6.17-12.18-6.17c-7.53,0-13.76,5.5-14.98,12.68c-2.44-1.61-5.33-2.55-8.37-2.55
+				c-1.78,0-3.53,0.31-5.21,0.92c-3.83,1.39-6.88,4.19-8.6,7.88c-1.35,2.89-1.72,6.06-1.16,9.14c-1.14-0.27-2.32-0.43-3.51-0.43
+				c-3.57,0-7.05,1.27-9.79,3.57c-3.12,2.62-5.03,6.29-5.39,10.35c-0.28,3.18,0.46,6.28,2.04,8.98c-4.74,0.56-9.01,3.32-11.43,7.5
+				c-2.03,3.53-2.58,7.63-1.52,11.57c0.83,3.09,2.59,5.76,5.01,7.76c-4.19,2.1-7.33,6.05-8.2,10.94c-0.71,4.01,0.19,8.05,2.52,11.39
+				c1.84,2.63,4.41,4.53,7.38,5.58c-3.19,3.39-4.85,8.15-3.98,13.08c1.29,7.3,7.59,12.6,14.99,12.6c0.03,0,0.07-0.01,0.1-0.01
+				c-1.83,4.27-1.75,9.3,0.75,13.62c2.72,4.7,7.78,7.62,13.21,7.62c1.81,0,3.59-0.35,5.28-0.98c-0.04,0.74-0.09,1.47-0.02,2.22
+				c0.35,4.05,2.27,7.73,5.39,10.35c2.74,2.3,6.22,3.57,9.79,3.57c3.66,0,7.11-1.36,9.85-3.69c1.33,4.47,4.64,8.3,9.35,10.02
+				c1.68,0.61,3.43,0.92,5.21,0.92c5.52,0,10.55-3.02,13.23-7.71c2.78,3.72,7.18,6.17,12.18,6.17c7.53,0,13.76-5.5,14.98-12.68
+				c2.44,1.61,5.33,2.55,8.37,2.55c1.78,0,3.53-0.31,5.21-0.92c3.82-1.39,6.88-4.19,8.6-7.88c1.35-2.89,1.72-6.06,1.15-9.14
+				c1.14,0.27,2.32,0.43,3.51,0.43c3.57,0,7.05-1.27,9.79-3.57c5.76-4.83,7-13.03,3.34-19.32c4.74-0.56,9.02-3.32,11.44-7.5
+				c2.04-3.52,2.58-7.63,1.52-11.56c-0.83-3.09-2.59-5.76-5.01-7.76C242.86,135.93,246,131.98,246.86,127.09z"/>
+			<g>
+				<path class="st2" d="M194.07,156.39c-2.79,0-5.38,0.82-7.56,2.23c-4.45-14.86-10.3-31.68-10.3-31.68h-57.71
+					c0,0-18.07,54.21-8.16,72.87c9.91,18.65,26.82,30.9,26.82,30.9l39.64-14.57c0,0,14.13-5.71,14.71-32.04
+					c0.83,0.15,1.69,0.25,2.56,0.25c7.72,0,13.97-6.26,13.97-13.97C208.05,162.65,201.79,156.39,194.07,156.39z"/>
+				<path d="M137.16,232.85c-0.44,0-0.88-0.14-1.25-0.41c-0.71-0.51-17.42-12.75-27.45-31.62c-10.22-19.24,7.27-72.3,8.02-74.55
+					c0.29-0.87,1.11-1.46,2.03-1.46h57.71c0.91,0,1.72,0.58,2.02,1.43c0.06,0.16,5.28,15.2,9.58,29.28c1.97-0.84,4.1-1.27,6.26-1.27
+					c8.88,0,16.11,7.23,16.11,16.11c0,8.88-7.23,16.11-16.11,16.11c-0.17,0-0.34,0-0.51-0.01c-1.36,25.45-15.35,31.4-15.96,31.65
+					l-39.71,14.6C137.66,232.81,137.41,232.85,137.16,232.85z M120.06,129.09c-2.75,8.7-16.32,53.75-7.83,69.73
+					c8.27,15.56,21.72,26.7,25.29,29.49l38.54-14.17c0.45-0.19,12.77-5.68,13.31-30.08c0.01-0.63,0.3-1.22,0.79-1.61
+					c0.49-0.39,1.12-0.56,1.74-0.44c0.76,0.14,1.47,0.21,2.17,0.21c6.53,0,11.84-5.31,11.84-11.84c0-6.53-5.31-11.84-11.84-11.84
+					c-2.27,0-4.48,0.65-6.4,1.89c-0.57,0.37-1.27,0.44-1.9,0.21c-0.63-0.23-1.11-0.75-1.31-1.39c-3.64-12.15-8.27-25.77-9.78-30.15
+					H120.06z"/>
+			</g>
+			<g>
+				<path d="M151.69,208.13h-15.92c-1.18,0-2.14-0.96-2.14-2.14c0-1.18,0.96-2.14,2.14-2.14h15.67c0.79-0.22,4.44-1.5,5.98-6.62
+					c0.34-1.13,1.53-1.77,2.66-1.43c1.13,0.34,1.77,1.53,1.43,2.66c-2.46,8.21-9.14,9.57-9.42,9.62
+					C151.96,208.12,151.82,208.13,151.69,208.13z"/>
+			</g>
+			<path d="M115.08,168.87c0.83,2.13,2.75,3.36,4.28,2.76c1.53-0.6,2.1-2.81,1.26-4.93c-0.83-2.13-2.75-3.36-4.28-2.76
+				C114.81,164.54,114.25,166.75,115.08,168.87z"/>
+			<path d="M143.88,168.87c0.83,2.13,2.75,3.36,4.28,2.76c1.53-0.6,2.1-2.81,1.26-4.93c-0.83-2.13-2.75-3.36-4.28-2.76
+				C143.61,164.54,143.05,166.75,143.88,168.87z"/>
+			<g>
+				<path d="M157.34,159.72h-16.25c-1.18,0-2.14-0.96-2.14-2.14c0-1.18,0.96-2.14,2.14-2.14h16.25c1.18,0,2.14,0.96,2.14,2.14
+					C159.48,158.76,158.52,159.72,157.34,159.72z"/>
+			</g>
+			<g>
+				<path d="M126.96,159.72h-16.25c-1.18,0-2.14-0.96-2.14-2.14c0-1.18,0.96-2.14,2.14-2.14h16.25c1.18,0,2.14,0.96,2.14,2.14
+					C129.1,158.76,128.14,159.72,126.96,159.72z"/>
+			</g>
+			<g>
+				<path d="M132.61,185.86h-8.48c-0.64,0-1.26-0.29-1.66-0.79c-0.41-0.5-0.56-1.16-0.43-1.79l6.36-29.68
+					c0.25-1.15,1.37-1.89,2.54-1.64c1.15,0.25,1.89,1.38,1.64,2.54l-5.81,27.09h5.84c1.18,0,2.14,0.96,2.14,2.14
+					C134.75,184.9,133.79,185.86,132.61,185.86z"/>
+			</g>
+			<g>
+				<path d="M191.47,177.95c-0.72,0-1.42-0.36-1.82-1.02c-3.7-6.01-0.17-12.09,2.21-14.47c0.83-0.83,2.19-0.83,3.02,0
+					c0.83,0.83,0.83,2.18,0,3.02c-0.22,0.22-4.42,4.62-1.59,9.22c0.62,1,0.3,2.32-0.7,2.94
+					C192.24,177.85,191.85,177.95,191.47,177.95z"/>
+			</g>
+		</g>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-02.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-02.svg
new file mode 100644
index 00000000000..812919cbb62
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-02.svg	
@@ -0,0 +1,167 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F5F5F5;}
+	.st1{fill:#E8EDC5;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#85BAC6;}
+	.st4{fill:#F6E1DC;}
+	.st5{fill:#080717;}
+	.st6{fill:none;stroke:#080717;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st7{fill:#F2ECDE;}
+	.st8{fill:#C7E1E0;}
+	.st9{fill:#FCDEDE;}
+	.st10{fill:#EFCBBF;}
+	.st11{fill:#CEE1E7;}
+	.st12{fill:#FDEDE0;}
+	.st13{fill:#B9D2D7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#DDD6CC;}
+	.st17{fill:#F3F3F3;}
+	.st18{fill:#E0D5C1;}
+	.st19{fill:none;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st20{fill:#E0E0E0;}
+	.st21{fill:#DBDDC0;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4658 172.5337)" class="st4" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<g>
+			<path class="st2" d="M263.7,232.6c-0.01,0-0.01,0-0.02-0.01c0,0,0,0,0,0l-45.92-18.23l-8.65-15.91
+				c-0.14-0.25-0.37-0.43-0.64-0.51c-0.27-0.08-0.57-0.05-0.81,0.09l-0.64,0.35l3.83-32.15c0.06-0.5-0.25-0.98-0.73-1.14
+				c-0.48-0.15-1.01,0.06-1.26,0.51c-18.42,33.91-68.16,17.34-68.67,17.17c-0.3-0.1-0.64-0.06-0.91,0.11
+				c-0.27,0.17-0.45,0.46-0.49,0.78l-2.13,18.92L125,215.6l-37.85,3.78c-14.32,1.43-27.35,8.26-36.68,19.23l-23.08,27.14
+				c30.7,47.7,84.21,79.32,145.15,79.32c38.8,0,74.6-12.81,103.42-34.42c5.93-17.89,5.45-40.18,0.92-56.82
+				C273.76,242.41,269.08,234.87,263.7,232.6z"/>
+			<path class="st3" d="M151.86,232.16l-11.07,20.49l3.3,1.41l-38.08,77.69c7.6,3.18,15.48,5.84,23.59,7.92l23.44-32.39l-1.53-50.75
+				l4.59-1.41L151.86,232.16z"/>
+			<path class="st5" d="M163.4,46.7c-8.28,0-15.53,4.22-19.72,10.64h-8.11c-10.09,0-18.27,8.18-18.27,18.28v45.13h12.85v-18.36
+				c0-7.09,5.77-12.85,12.86-12.85h7.49h-11.88h7.86c13.02,0,23.58-10.54,23.58-23.59V46.7H163.4z"/>
+			<g>
+				<path class="st2" d="M136.54,137.54c0,6.19-5.02,11.17-11.22,11.17h-0.93c-6.16,0-11.18-4.98-11.18-11.17v-13.58
+					c0-6.15,5.02-11.16,11.18-11.16h0.93c4.59,0,8.52,2.74,10.27,6.66L136.54,137.54z"/>
+				<path d="M125.32,150.85h-0.93c-7.34,0-13.32-5.97-13.32-13.31v-13.58c0-7.33,5.97-13.3,13.32-13.3h0.93
+					c5.28,0,10.07,3.11,12.22,7.92c0.48,1.08,0,2.34-1.08,2.82c-1.09,0.48-2.34-0.01-2.82-1.08c-1.46-3.27-4.72-5.39-8.32-5.39
+					h-0.93c-4.99,0-9.04,4.05-9.04,9.03v13.58c0,4.98,4.06,9.04,9.04,9.04h0.93c5.01,0,9.08-4.05,9.08-9.04
+					c0-1.18,0.96-2.14,2.14-2.14c1.18,0,2.14,0.96,2.14,2.14C138.68,144.88,132.69,150.85,125.32,150.85z"/>
+			</g>
+			<path class="st5" d="M153.37,64.62V46.7h7.4h19.52h11.79c13.03,0,23.58,10.55,23.58,23.54v17.94h-7.43h-19.51h-11.79
+				C163.92,88.19,153.37,77.63,153.37,64.62z"/>
+			<g>
+				<path class="st2" d="M199.7,123.96c0-6.18,4.99-11.16,11.17-11.16h0.94c6.16,0,11.2,4.99,11.2,11.16v13.58
+					c0,6.16-5.04,11.17-11.2,11.17h-0.94c-4.56,0-8.5-2.72-10.24-6.64L199.7,123.96z"/>
+				<path d="M211.81,150.85h-0.94c-5.27,0-10.06-3.1-12.19-7.91c-0.48-1.08,0-2.34,1.08-2.82c1.08-0.48,2.34,0.01,2.82,1.08
+					c1.45,3.26,4.71,5.37,8.29,5.37h0.94c5,0,9.06-4.05,9.06-9.04v-13.58c0-4.98-4.07-9.03-9.06-9.03h-0.94
+					c-4.98,0-9.04,4.05-9.04,9.03c0,1.18-0.96,2.14-2.14,2.14c-1.18,0-2.14-0.96-2.14-2.14c0-7.33,5.97-13.3,13.31-13.3h0.94
+					c7.36,0,13.34,5.97,13.34,13.3v13.58C225.15,144.88,219.16,150.85,211.81,150.85z"/>
+			</g>
+			<g>
+				<path class="st2" d="M212.33,154.7c-0.03,9.35-7.2,25.25-19.06,30.24c-16.14,6.68-35.24,6.68-51.37,0
+					c-11.9-5-18.99-20.89-19.07-30.24c0-26.64,0-53.23,0-79.82c-0.05-9.44,9.37-17.36,20.97-17.59c15.85,0,31.71,0,47.58,0
+					c11.61,0.22,21.04,8.15,20.95,17.59C212.33,101.48,212.33,128.07,212.33,154.7z"/>
+				<path d="M167.57,192.07c-9.1,0-18.2-1.72-26.49-5.15c-13.01-5.46-20.31-22.51-20.39-32.2V74.88
+					c-0.05-10.62,10.29-19.48,23.06-19.72h47.62c12.85,0.24,23.19,9.1,23.09,19.75v79.8c0,0,0,0,0,0.01
+					c-0.03,9.67-7.3,26.7-20.37,32.21C185.78,190.35,176.68,192.07,167.57,192.07z M191.34,59.43h-47.54
+					c-10.4,0.2-18.87,7.13-18.83,15.44v79.83c0.07,8.71,6.86,23.7,17.76,28.27c15.55,6.44,34.14,6.44,49.72,0
+					c10.95-4.61,17.71-19.58,17.74-28.28V74.88C210.27,66.55,201.81,59.63,191.34,59.43z M212.32,154.7h0.02H212.32z"/>
+			</g>
+			<path class="st5" d="M176.72,46.7c8.29,0,15.53,4.22,19.75,10.64h8.09c10.07,0,18.25,8.18,18.25,18.28v45.13h-12.85v-18.36
+				c0-7.09-5.77-12.85-12.86-12.85h-0.14h4.54h-20.82c-13.04,0-23.55-10.54-23.55-23.59V46.7H176.72z"/>
+			<path class="st5" d="M157.14,69.24c0.27-1.49,0.43-3.03,0.43-4.62V46.7h-7.42h-9.24c-13.06,0-23.61,10.55-23.61,23.54v17.94h4.93
+				h2.49H134c1.65,0,3.3-0.17,4.84-0.51C140.69,78.45,147.92,71.17,157.14,69.24z"/>
+			<g>
+				<path d="M165.35,173.19c-7.23,0-14.61-9.12-15.49-10.24c-0.5-0.64-0.6-1.52-0.24-2.25c0.36-0.74,1.1-1.2,1.92-1.2h21.62
+					c0.65,0,1.27,0.3,1.68,0.81c0.4,0.51,0.55,1.18,0.4,1.82c-1.5,6.36-4.24,10.02-8.15,10.88
+					C166.52,173.13,165.94,173.19,165.35,173.19z M156.41,163.77c2.88,2.76,6.84,5.71,9.77,5.06c1.98-0.44,3.29-2.66,4.14-5.06
+					H156.41z"/>
+			</g>
+			<g>
+				<path d="M188.93,99.92c-0.29,0-0.58-0.06-0.86-0.18c-4.76-2.1-10.3-2.28-15.2-0.52c-1.11,0.4-2.33-0.17-2.74-1.28
+					c-0.4-1.11,0.17-2.34,1.28-2.74c5.92-2.14,12.61-1.91,18.37,0.62c1.08,0.48,1.57,1.74,1.09,2.82
+					C190.54,99.45,189.76,99.92,188.93,99.92z"/>
+			</g>
+			<g>
+				<path d="M130.68,102.12c-0.64,0-1.27-0.28-1.69-0.82c-0.72-0.93-0.56-2.27,0.37-3c5.15-4,11.01-4.81,17.45-2.39
+					c1.1,0.42,1.66,1.65,1.25,2.75c-0.42,1.1-1.65,1.66-2.75,1.25c-5.02-1.88-9.38-1.3-13.32,1.76
+					C131.6,101.97,131.14,102.12,130.68,102.12z"/>
+			</g>
+			<path d="M177.01,121.47c0,2.22,1.29,4.02,2.89,4.02c1.6,0,2.89-1.8,2.89-4.02c0-2.22-1.29-4.02-2.89-4.02
+				C178.3,117.45,177.01,119.25,177.01,121.47z"/>
+			<path d="M140.47,121.49c0,2.22,1.29,4.02,2.89,4.02c1.6,0,2.89-1.8,2.89-4.02c0-2.22-1.29-4.02-2.89-4.02
+				C141.77,117.47,140.47,119.27,140.47,121.49z"/>
+			<g>
+				<path class="st3" d="M141,137.87c-0.39,0-0.78-0.01-1.17-0.04c-9.64-0.63-16.97-8.99-16.33-18.63
+					c0.64-9.64,8.94-16.96,18.63-16.33l0,0c9.64,0.63,16.96,8.99,16.33,18.63c-0.31,4.67-2.41,8.94-5.93,12.03
+					C149.3,136.35,145.25,137.87,141,137.87z M140.97,107.1c-6.91,0-12.75,5.38-13.21,12.38c-0.48,7.29,5.06,13.61,12.35,14.09
+					c3.53,0.23,6.94-0.92,9.6-3.26c2.66-2.33,4.25-5.56,4.48-9.09c0.48-7.29-5.06-13.61-12.35-14.09
+					C141.55,107.11,141.26,107.1,140.97,107.1z"/>
+			</g>
+			<g>
+				<path d="M163.25,150.42c-0.06,0-0.12,0-0.18-0.01c-6.43-0.52-11.26-5.75-11.46-5.97c-0.53-0.59-0.7-1.42-0.43-2.16l8.32-23.08
+					c0.4-1.11,1.63-1.68,2.73-1.29c1.11,0.4,1.69,1.63,1.29,2.74l-7.85,21.77c1.42,1.25,4.37,3.46,7.75,3.73
+					c1.18,0.1,2.05,1.13,1.96,2.3C165.29,149.58,164.36,150.42,163.25,150.42z"/>
+			</g>
+			<g>
+				<path class="st3" d="M180.86,136.78c-4.5,0-8.75-1.69-12.03-4.8c-3.4-3.22-5.34-7.57-5.47-12.24
+					c-0.13-4.68,1.58-9.13,4.79-12.52c3.22-3.4,7.57-5.34,12.24-5.47c4.66-0.16,9.12,1.57,12.52,4.79c3.4,3.22,5.34,7.57,5.47,12.24
+					c0.13,4.68-1.58,9.13-4.79,12.52c-3.22,3.4-7.56,5.34-12.24,5.47C181.19,136.78,181.03,136.78,180.86,136.78z M180.89,106.01
+					c-0.12,0-0.25,0-0.37,0.01c-3.54,0.1-6.83,1.56-9.26,4.13c-2.43,2.57-3.72,5.93-3.62,9.47c0.1,3.54,1.56,6.82,4.13,9.26
+					c2.57,2.43,5.87,3.72,9.47,3.62c3.54-0.1,6.83-1.56,9.26-4.13c2.43-2.57,3.72-5.93,3.62-9.47c-0.1-3.54-1.56-6.82-4.13-9.26
+					C187.5,107.29,184.29,106.01,180.89,106.01z"/>
+			</g>
+			<g>
+				<path class="st3" d="M164.65,121.99c-0.02,0-0.04,0-0.06,0l-7.27-0.19c-1.18-0.03-2.11-1.01-2.08-2.19
+					c0.03-1.18,0.98-2.17,2.19-2.08l7.27,0.19c1.18,0.03,2.11,1.01,2.08,2.19C166.75,121.06,165.8,121.99,164.65,121.99z"/>
+			</g>
+			<g>
+				<g>
+					<path class="st5" d="M205.7,202.63c-0.08,0-0.17-0.01-0.25-0.01c-1.17-0.14-2.01-1.2-1.87-2.37l4.09-34.38
+						c0.14-1.17,1.18-2,2.37-1.87c1.17,0.14,2.01,1.2,1.87,2.37l-4.09,34.38C207.69,201.83,206.77,202.63,205.7,202.63z"/>
+				</g>
+				<g>
+					<path class="st5" d="M137.41,207.57c-0.08,0-0.16,0-0.24-0.01c-1.17-0.13-2.02-1.19-1.88-2.36l2.44-21.67
+						c0.13-1.17,1.18-2.02,2.36-1.88c1.17,0.13,2.02,1.19,1.88,2.36l-2.44,21.67C139.41,206.76,138.48,207.57,137.41,207.57z"/>
+				</g>
+			</g>
+			<g>
+				<path class="st5" d="M158.01,262.21c-0.26,0-0.53-0.05-0.78-0.15c-0.69-0.27-1.2-0.89-1.32-1.62l-5.3-30.38
+					c-0.16-0.9,0.27-1.79,1.07-2.24l55.46-30.73c0.5-0.28,1.09-0.34,1.63-0.18c0.55,0.16,1.01,0.53,1.28,1.03l8.83,16.25
+					c0.5,0.93,0.25,2.08-0.58,2.72l-58.99,44.86C158.93,262.06,158.47,262.21,158.01,262.21z M155.08,230.82l4.44,25.42l54.74-41.63
+					l-6.93-12.75L155.08,230.82z"/>
+			</g>
+			<g>
+				<path class="st5" d="M136.11,259.73c-0.1,0-0.2-0.01-0.3-0.02c-0.85-0.12-1.55-0.74-1.77-1.58l-10.6-40.98
+					c-0.18-0.69,0-1.43,0.48-1.96l12.01-13.42c0.46-0.51,1.12-0.77,1.82-0.7c0.68,0.07,1.29,0.47,1.63,1.06l15.19,26.49
+					c0.38,0.67,0.38,1.49-0.02,2.16l-16.6,27.91C137.56,259.34,136.86,259.73,136.11,259.73z M127.87,217.19l9.03,34.91l13.34-22.43
+					l-13.1-22.84L127.87,217.19z"/>
+			</g>
+			<g>
+				<path class="st5" d="M28.19,268.58c-0.49,0-0.98-0.17-1.38-0.51c-0.9-0.76-1.01-2.11-0.24-3.01l23.08-27.13
+					c9.51-11.18,22.79-18.14,37.39-19.6l38.27-3.83c1.2-0.11,2.22,0.74,2.34,1.91c0.12,1.17-0.74,2.22-1.91,2.34l-38.27,3.83
+					c-13.5,1.35-25.77,7.78-34.56,18.12l-23.08,27.14C29.4,268.32,28.8,268.58,28.19,268.58z"/>
+			</g>
+			<g>
+				<path class="st5" d="M51.78,309.98c-0.31,0-0.62-0.07-0.92-0.21c-1.06-0.51-1.51-1.79-1.01-2.85l18.63-38.94
+					c0.51-1.06,1.78-1.51,2.85-1.01c1.06,0.51,1.51,1.79,1.01,2.85l-18.63,38.94C53.34,309.53,52.57,309.98,51.78,309.98z"/>
+			</g>
+			<g>
+				<path class="st5" d="M129.04,340.63c-0.43,0-0.87-0.13-1.25-0.4c-0.96-0.69-1.17-2.03-0.48-2.98c0.06-0.09,6.48-8.95,15.22-20.5
+					c15.73-20.79,36.66-47.24,47.04-55.19c10.92-8.36,55.58-37.95,74.55-29.95c15.39,6.5,22.48,50.27,12.86,79.38
+					c-2.05,6.2-4.77,11.61-8.09,16.07c-0.7,0.95-2.04,1.15-2.99,0.44c-0.95-0.7-1.14-2.04-0.44-2.99c3.05-4.1,5.56-9.09,7.47-14.86
+					c9.37-28.35,1.64-68.98-10.47-74.1c-6.28-2.65-18.41,0.02-34.2,7.51c-14.59,6.93-28.56,16.12-36.09,21.89
+					c-7.8,5.97-24.22,25.28-46.23,54.37c-8.71,11.51-15.1,20.34-15.16,20.43C130.36,340.32,129.71,340.63,129.04,340.63z"/>
+			</g>
+			<g>
+				<path class="st5" d="M263.28,235.71c-0.26,0-0.53-0.05-0.79-0.15l-46.28-18.37c-1.1-0.44-1.63-1.68-1.2-2.78
+					c0.44-1.1,1.68-1.63,2.78-1.2l46.28,18.37c1.1,0.44,1.63,1.68,1.2,2.78C264.93,235.2,264.13,235.71,263.28,235.71z"/>
+			</g>
+		</g>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-03.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-03.svg
new file mode 100644
index 00000000000..c228becdd13
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-03.svg	
@@ -0,0 +1,91 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F5F5F5;}
+	.st1{fill:#E8EDC5;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#85BAC6;}
+	.st4{fill:#F6E1DC;}
+	.st5{fill:#080717;}
+	.st6{fill:none;stroke:#080717;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st7{fill:#F2ECDE;}
+	.st8{fill:#C7E1E0;}
+	.st9{fill:#FCDEDE;}
+	.st10{fill:#EFCBBF;}
+	.st11{fill:#CEE1E7;}
+	.st12{fill:#FDEDE0;}
+	.st13{fill:#B9D2D7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#DDD6CC;}
+	.st17{fill:#F3F3F3;}
+	.st18{fill:#E0D5C1;}
+	.st19{fill:none;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st20{fill:#E0E0E0;}
+	.st21{fill:#DBDDC0;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4658 172.5338)" class="st8" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4658 172.5338)" class="st8" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<g>
+			<path d="M45.22,233.34c0,0-19.25-31.77,18.29-68.83c37.55-37.07,48.14-72.2,61.61-92.9c13.48-20.7,58.25-46.69,84.24-25.03
+				s34.18,38.99,28.88,64.98c-5.29,25.99,38.25,33.74,42.84,61.61C302.99,306.19,101.06,346.46,45.22,233.34z"/>
+			<path class="st3" d="M172.53,345.07c43.95,0,84.03-16.46,114.5-43.51l-28.02-44.21c-13.8-21.77-38.64-33.98-64.31-31.6
+				l-71.52,6.62c-24.78,2.29-46.38,17.82-56.45,40.58L55.21,299C86,327.57,127.22,345.07,172.53,345.07z"/>
+			<path class="st2" d="M131.86,234.3c0,0,11.07-52.47,10.11-65.95c-0.96-13.48-0.96-15.4,16.85,2.41
+				c17.81,17.81,38.99,24.55,38.99,24.55s-11.55,20.22-24.07,42.84c-23.07,41.71-40.43-0.48-40.43-0.48L131.86,234.3z"/>
+			<path class="st2" d="M128.97,135.74c0,0,7.66,9.36,13.48,5.66c32.49-20.7,43.32-35.14,47.9-60.17c0,0,13.21,13.36,30.33,13.36
+				c0.36,0,13.36,71.48-11.19,101.81C193.24,216.46,165.08,216.25,128.97,135.74z"/>
+			<g>
+				<path class="st3" d="M175.91,162.06c-10.73,0-19.47-11.49-19.47-25.6c0-14.12,8.73-25.6,19.47-25.6
+					c10.73,0,19.47,11.49,19.47,25.6C195.37,150.58,186.64,162.06,175.91,162.06z M175.91,115.13c-8.38,0-15.19,9.57-15.19,21.33
+					c0,11.76,6.82,21.33,15.19,21.33c8.38,0,15.19-9.57,15.19-21.33C191.1,124.7,184.28,115.13,175.91,115.13z"/>
+			</g>
+			<g>
+				<path class="st3" d="M221.04,162.06c-10.73,0-19.47-11.49-19.47-25.6c0-14.12,8.73-25.6,19.47-25.6
+					c10.73,0,19.46,11.49,19.46,25.6C240.5,150.58,231.77,162.06,221.04,162.06z M221.04,115.13c-8.38,0-15.19,9.57-15.19,21.33
+					c0,11.76,6.82,21.33,15.19,21.33c8.38,0,15.19-9.57,15.19-21.33C236.23,124.7,229.41,115.13,221.04,115.13z"/>
+			</g>
+			<g>
+				<path class="st3" d="M201.54,138.6h-6.49c-1.18,0-2.14-0.96-2.14-2.14c0-1.18,0.96-2.14,2.14-2.14h6.49
+					c1.18,0,2.14,0.96,2.14,2.14C203.67,137.64,202.72,138.6,201.54,138.6z"/>
+			</g>
+			<g>
+				<path class="st5" d="M198.31,162.46c-0.8,0-1.56-0.44-1.93-1.21c-0.51-1.06-0.07-2.34,1-2.85c0.34-0.16,0.64-0.4,0.89-0.69
+					c-1.1-2.01-1.6-4.37-1.38-6.65c0.11-1.17,1.12-2.04,2.33-1.92c1.17,0.11,2.03,1.16,1.92,2.33c-0.16,1.73,0.32,3.52,1.34,4.92
+					c0.42,0.58,0.52,1.32,0.27,1.99c-0.62,1.68-1.9,3.09-3.51,3.86C198.94,162.4,198.62,162.46,198.31,162.46z"/>
+			</g>
+			<g>
+				<path class="st5" d="M182.45,175.85c-4.18,0-8.27-2.11-10.62-5.62c-0.66-0.98-0.39-2.31,0.59-2.96
+					c0.98-0.65,2.31-0.39,2.96,0.59c1.79,2.68,5.27,4.17,8.44,3.61c1.17-0.21,2.27,0.57,2.47,1.74c0.2,1.16-0.57,2.27-1.74,2.47
+					C183.87,175.79,183.16,175.85,182.45,175.85z"/>
+			</g>
+			<path d="M182.93,138.04c-0.2-4-2.37-7.13-4.86-7.01c-2.48,0.12-4.33,3.46-4.13,7.46c0.2,3.99,2.37,7.13,4.86,7.01
+				C181.28,145.38,183.13,142.04,182.93,138.04z"/>
+			<path d="M218.31,138.04c-0.2-4-2.37-7.13-4.86-7.01c-2.48,0.12-4.33,3.46-4.13,7.46c0.2,3.99,2.37,7.13,4.86,7.01
+				C216.66,145.38,218.51,142.04,218.31,138.04z"/>
+			<g>
+				<path class="st2" d="M59.42,260.02c-0.69,0-1.36-0.33-1.78-0.95c-9.22-13.72-11.38-30.05-6.42-48.53
+					c9.09-33.86,41.21-67.75,65.75-79.74c43.22-21.11,66.59-42.8,67.57-62.72c0.87-17.69-16.31-28.51-16.49-28.61
+					c-1-0.62-1.32-1.93-0.7-2.94c0.62-1.01,1.94-1.32,2.94-0.7c0.79,0.49,19.49,12.2,18.52,32.43
+					c-1.05,21.89-24.59,44.22-69.97,66.38c-23.7,11.58-54.72,44.31-63.5,77.01c-4.63,17.23-2.66,32.38,5.84,45.03
+					c0.66,0.98,0.4,2.31-0.58,2.97C60.24,259.9,59.83,260.02,59.42,260.02z"/>
+			</g>
+			<path class="st2" d="M144.59,151.76c2.57,10.42,0.56,19.86-4.47,21.1c-5.03,1.24-11.19-6.2-13.76-16.61
+				c-2.57-10.42-0.56-19.86,4.47-21.1C135.86,133.91,142.02,141.35,144.59,151.76z"/>
+			<g>
+				<path class="st5" d="M192.99,211.89c-0.01,0-0.02,0-0.03,0c-32.97-0.5-39.77-22.74-40.05-23.69c-0.33-1.13,0.33-2.32,1.46-2.65
+					c1.13-0.32,2.31,0.32,2.64,1.46c0.26,0.86,6.35,20.16,36.01,20.6c1.18,0.02,2.12,0.99,2.1,2.17
+					C195.11,210.95,194.16,211.89,192.99,211.89z"/>
+			</g>
+		</g>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-04.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-04.svg
new file mode 100644
index 00000000000..24467602b0f
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-04.svg	
@@ -0,0 +1,114 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F5F5F5;}
+	.st1{fill:#E8EDC5;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#85BAC6;}
+	.st4{fill:#F6E1DC;}
+	.st5{fill:#080717;}
+	.st6{fill:none;stroke:#080717;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st7{fill:#F2ECDE;}
+	.st8{fill:#C7E1E0;}
+	.st9{fill:#FCDEDE;}
+	.st10{fill:#EFCBBF;}
+	.st11{fill:#CEE1E7;}
+	.st12{fill:#FDEDE0;}
+	.st13{fill:#B9D2D7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#DDD6CC;}
+	.st17{fill:#F3F3F3;}
+	.st18{fill:#E0D5C1;}
+	.st19{fill:none;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st20{fill:#E0E0E0;}
+	.st21{fill:#DBDDC0;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4658 172.5337)" class="st9" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<path class="st2" d="M318.71,264.15l-12.73-13.07c-23.02-23.63-56.19-34.4-88.7-28.82l-94.25,16.18
+			c-26.48,4.55-50.03,19.55-65.35,41.62l-8.26,11.91l-0.15,1.22c31.32,32,74.97,51.88,123.28,51.88
+			C234.15,345.07,288.19,312.74,318.71,264.15z"/>
+		<g>
+			<path d="M49.26,295.33c-0.09,0-0.18-0.01-0.27-0.02c-1.17-0.15-2-1.22-1.85-2.39l0.15-1.22c0.04-0.34,0.17-0.67,0.37-0.95
+				l8.26-11.91c15.55-22.4,39.87-37.9,66.74-42.51l94.25-16.18c33.2-5.71,67.08,5.3,90.59,29.44l12.73,13.07
+				c0.82,0.85,0.81,2.2-0.04,3.02c-0.84,0.82-2.2,0.81-3.02-0.04l-12.73-13.07c-22.54-23.13-54.99-33.67-86.81-28.21l-94.25,16.18
+				c-25.75,4.42-49.06,19.27-63.96,40.74l-7.96,11.48l-0.09,0.7C51.24,294.54,50.32,295.33,49.26,295.33z"/>
+		</g>
+		<g>
+			<g>
+				<g>
+					<path class="st2" d="M199.84,233.18c-10.7-21.3-16.72-55.23-7.09-109.17c18.09-101.31-48.22,72.33-48.22,72.33
+						c1.15,5.73,8.55,19.75-9.25,47.64L199.84,233.18z"/>
+					<path d="M135.29,246.12c-0.39,0-0.79-0.11-1.15-0.34c-1-0.64-1.29-1.96-0.65-2.95c15.17-23.77,11.42-37.11,9.61-43.51
+						c-0.28-0.98-0.51-1.83-0.66-2.56c-0.08-0.4-0.05-0.81,0.1-1.18c0.1-0.27,10.31-26.97,21.49-53.02
+						c23.31-54.37,27.95-53.07,30.7-52.3c3,0.83,5.48,4.15,0.13,34.13c-8.23,46.08-5.91,82.36,6.89,107.84
+						c0.53,1.05,0.1,2.34-0.95,2.87c-1.06,0.53-2.34,0.1-2.87-0.95c-13.22-26.32-15.67-63.5-7.28-110.51
+						c3.78-21.17,3.25-27.24,2.76-28.94c-6.65,4.71-28.55,54.48-46.65,101.8c0.12,0.5,0.28,1.05,0.45,1.66
+						c1.97,7.01,6.07,21.58-10.12,46.97C136.68,245.77,135.99,246.12,135.29,246.12z"/>
+				</g>
+				<path class="st2" d="M130.07,80.61c0,0-16.07,99.65-9.64,122.16c6.43,22.5,25.62,27.75,48.22-3.22
+					c43.4-59.47,41.79-106.08,28.93-114.12C184.72,77.4,149.36,46.86,130.07,80.61z"/>
+				<path d="M157.4,95.08c-15.61,2.51-40.18,11.25-56.25-28.93c-16.07-40.18,19.29-48.22,36.97-27.32
+					c17.68,20.89,16.07,30.54,4.82,20.89c-11.25-9.64,6.43-38.58,22.5-19.29c16.07,19.29,22.5,48.22,14.47,46.61
+					c-8.04-1.61,17.68-33.75,27.32-19.29c9.64,14.47,16.07,35.36,4.82,41.79c-11.25,6.43-24.11-16.07-12.86-8.04
+					c11.25,8.04,14.47,51.43,0,57.86c-14.46,6.43-14.46-4.82-1.61-17.68c12.86-12.86-4.82-39.38-11.25-13.66
+					c-0.55,2.21-4.82,16.88-4.82,16.88l-9.64,8.04c0,0,0-28.93,6.43-39.38C192.79,90.02,192.35,89.47,157.4,95.08z"/>
+			</g>
+			<g>
+				<polygon class="st2" points="148.59,254.36 151.52,278.22 200.99,238.92 197.44,224.71 				"/>
+				<path d="M151.52,280.35c-0.27,0-0.55-0.05-0.81-0.16c-0.72-0.29-1.22-0.95-1.31-1.72l-2.93-23.85c-0.1-0.83,0.29-1.65,1.01-2.09
+					l48.85-29.65c0.58-0.35,1.29-0.41,1.92-0.15c0.63,0.26,1.1,0.8,1.26,1.46l3.55,14.21c0.2,0.81-0.09,1.67-0.74,2.19l-49.48,39.3
+					C152.46,280.19,151.99,280.35,151.52,280.35z M150.88,255.47l2.3,18.7l45.41-36.07l-2.52-10.06L150.88,255.47z"/>
+			</g>
+			<g>
+				<polygon class="st2" points="134.5,236.06 127.81,274.45 146.84,256.22 				"/>
+				<path d="M127.81,276.59c-0.34,0-0.69-0.08-1.01-0.25c-0.81-0.43-1.26-1.34-1.1-2.25l6.69-38.39c0.15-0.88,0.83-1.56,1.7-1.73
+					c0.88-0.16,1.76,0.23,2.22,0.98l12.34,20.17c0.53,0.86,0.38,1.96-0.34,2.66l-19.03,18.23
+					C128.88,276.38,128.35,276.59,127.81,276.59z M135.63,242l-4.6,26.4l13.09-12.53L135.63,242z"/>
+			</g>
+			<g>
+				<path d="M139,223.36c-1.11,0-2.15-0.1-3.11-0.27c-8.07-1.43-14.29-8.44-17.51-19.73c-4.84-16.93,2.43-74.48,7.2-107.28
+					c0.17-1.17,1.25-1.98,2.42-1.81c1.17,0.17,1.98,1.25,1.81,2.42c-3.79,26.13-12.1,88.73-7.31,105.49
+					c2.75,9.64,7.78,15.57,14.15,16.7c8.71,1.55,19.47-5.76,30.29-20.59c0.69-0.95,2.03-1.16,2.99-0.47
+					c0.95,0.69,1.16,2.03,0.47,2.98C157.19,218.89,146.43,223.36,139,223.36z"/>
+			</g>
+			<g>
+				<path class="st5" d="M131.84,176.29c-0.58,0-1.14-0.24-1.54-0.66c-0.44-0.46-0.65-1.09-0.58-1.71l5.03-45.23
+					c0.13-1.17,1.22-2.03,2.36-1.89c1.17,0.13,2.02,1.19,1.89,2.36l-4.75,42.69l3.74-0.25c1.19-0.09,2.2,0.81,2.27,1.99
+					c0.08,1.18-0.81,2.2-1.99,2.27l-6.28,0.42C131.93,176.29,131.89,176.29,131.84,176.29z"/>
+			</g>
+			<path d="M127.74,145.26c0,1.67-1.35,3.02-3.02,3.02c-1.67,0-3.02-1.35-3.02-3.02c0-1.67,1.35-3.02,3.02-3.02
+				C126.39,142.24,127.74,143.59,127.74,145.26z"/>
+			<g>
+				<path d="M129.23,137.09c-0.93,0-1.78-0.61-2.05-1.54c-0.03-0.08-0.21-0.47-0.81-0.72c-0.66-0.28-2.68-0.68-7.18,1.42
+					c-1.07,0.5-2.34,0.04-2.84-1.03c-0.5-1.07-0.04-2.34,1.03-2.84c4.62-2.16,8.29-2.61,10.93-1.36c2.36,1.13,2.94,3.19,3,3.42
+					c0.29,1.15-0.41,2.31-1.55,2.59C129.57,137.07,129.4,137.09,129.23,137.09z"/>
+			</g>
+			<path d="M152.87,145.26c0,1.67-1.35,3.02-3.02,3.02c-1.67,0-3.02-1.35-3.02-3.02c0-1.67,1.35-3.02,3.02-3.02
+				C151.52,142.24,152.87,143.59,152.87,145.26z"/>
+			<g>
+				<path d="M154.35,137.09c-0.93,0-1.78-0.61-2.05-1.54c-0.03-0.08-0.21-0.47-0.81-0.72c-0.67-0.28-2.68-0.68-7.18,1.42
+					c-1.07,0.5-2.34,0.04-2.84-1.03c-0.5-1.07-0.04-2.34,1.03-2.84c4.62-2.16,8.29-2.61,10.93-1.36c2.36,1.13,2.94,3.19,3,3.42
+					c0.29,1.15-0.41,2.31-1.55,2.59C154.7,137.07,154.53,137.09,154.35,137.09z"/>
+			</g>
+			<g>
+				<path class="st5" d="M153.2,195.97c-0.86,0-1.67-0.52-1.99-1.37c-0.42-1.1,0.13-2.34,1.23-2.76c3.64-1.4,6.06-7.04,6.68-9.09
+					c0.34-1.13,1.54-1.77,2.66-1.43c1.13,0.34,1.77,1.53,1.43,2.66c-0.11,0.38-2.89,9.41-9.24,11.85
+					C153.71,195.92,153.45,195.97,153.2,195.97z"/>
+			</g>
+		</g>
+		<g>
+			<path d="M128.05,335.8c-0.02,0-0.04,0-0.06,0c-1.18-0.03-2.11-1.01-2.08-2.19c0.95-36,18.79-77.81,18.97-78.23
+				c0.47-1.09,1.73-1.59,2.81-1.12c1.08,0.47,1.58,1.72,1.12,2.81c-0.18,0.41-17.7,41.49-18.62,76.65
+				C130.15,334.88,129.2,335.8,128.05,335.8z"/>
+		</g>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-05.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-05.svg
new file mode 100644
index 00000000000..ffe3ec4f41f
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-05.svg	
@@ -0,0 +1,71 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F5F5F5;}
+	.st1{fill:#E8EDC5;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#85BAC6;}
+	.st4{fill:#F6E1DC;}
+	.st5{fill:#080717;}
+	.st6{fill:none;stroke:#080717;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st7{fill:#F2ECDE;}
+	.st8{fill:#C7E1E0;}
+	.st9{fill:#FCDEDE;}
+	.st10{fill:#EFCBBF;}
+	.st11{fill:#CEE1E7;}
+	.st12{fill:#FDEDE0;}
+	.st13{fill:#B9D2D7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#DDD6CC;}
+	.st17{fill:#F3F3F3;}
+	.st18{fill:#E0D5C1;}
+	.st19{fill:none;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st20{fill:#E0E0E0;}
+	.st21{fill:#DBDDC0;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4658 172.5337)" class="st0" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4658 172.5337)" class="st1" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4658 172.5337)" class="st1" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<g>
+			<g>
+				<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -112.9915 117.6575)" cx="85.53" cy="195.22" rx="55.07" ry="55.07"/>
+				<path d="M70.02,211.39c0,0-43.49-25.57-29.9-48.64c13.59-23.08,41.04-20.6,40.42-45.35c-0.62-24.74-10.47-48.92,32.04-41.82
+					c42.51,7.1,46.49-44.34,72.36-32.27c25.88,12.06,17.51,33.2,40.22,46.84c22.72,13.65,65.95,8.2,56.37,50.25
+					c-9.57,42.05-32.87,74.07-48.91,68.57c-16.03-5.49-8.25,19.04-12.12,33.18c-3.88,14.13-17.87,59.28-59.43,0.24
+					C119.51,183.35,97.84,225.18,70.02,211.39z"/>
+				<path class="st2" d="M187.46,141.95l-43.5,23.08c0,0-7.35,24.91-18.91,45.3c-11.56,20.38,47.59,11.66,47.59,11.66L187.46,141.95
+					z"/>
+				<path d="M142.99,189.04c0,0,23.68-5.5,35.26-21.16c6.16-8.32,6.62-17.35,4.11-23.22l-24.62,13.06c-0.1,0.45-0.14,0.73-0.14,0.73
+					s-0.18-0.13-0.5-0.38l-13.13,6.96c0,0-3.3,11.18-8.96,24.69L142.99,189.04z"/>
+				<path class="st2" d="M183.42,149.97c11.58-15.66,3.11-33.91-7.65-28.66c-10.76,5.24-13,19.24-13,19.24s-21.29-15.24-14.61-39.62
+					c-8.83-1.04-18.36-3.72-27.92-8.04l-18.92,45.2l10.72,4.25l3.59,31.6l32.53-2.81C148.16,171.13,171.84,165.63,183.42,149.97z"/>
+				<g>
+					<path d="M132.1,114.46c-4.27-5.77-10.15-4.41-10.4-4.35l-1.06-4.14c0.36-0.09,8.88-2.19,14.89,5.95L132.1,114.46z"/>
+				</g>
+				<g>
+					<path d="M129.44,155.18l-0.76-4.21c7.06-1.27,8.45-7.14,8.51-7.39l4.18,0.88C141.29,144.83,139.41,153.39,129.44,155.18z"/>
+				</g>
+				<path d="M126.72,119.34c-1.03,1.52-2.74,1.95-3.81,0.96c-1.07-0.99-1.11-3.02-0.07-4.54c1.03-1.52,2.74-1.95,3.81-0.96
+					C127.72,115.79,127.76,117.82,126.72,119.34z"/>
+				<path class="st3" d="M172.53,345.07c43.16,0,82.59-15.88,112.84-42.08l-10.26-24.9c-12.55-30.44-39.24-52.78-71.41-59.78
+					l-59.45-12.92c-34.37-7.47-69.15,10.77-82.55,43.3l-16.55,40.19C76.7,323.41,122.08,345.07,172.53,345.07z"/>
+				<path d="M325.34,208.72c0-27.76-21.09-50.6-48.13-53.37c-3.22-1.87-5.97-3.62-7.89-5.24c-9.74-8.2,1.54-11.79,2.56-23.07
+					c1.03-11.28-30.55-21.66-30.55-21.66c-7.48-5.76-59.18-19.36-71.48-9.11c-12.31,10.25-6.15,36.92-4.1,31.79
+					c2.05-5.13,6.1-11.1,13.09-6.21c12.54,8.77-3.86,20.05-3.86,20.05s-16.41,15.38-9.23,34.87c4.6,12.49,6.98,19.86,7.05,25.4
+					c-2.43,6.21-3.78,12.97-3.78,20.04c0,30.41,25.02,50.38,55.07,55.07c50.09,7.82,89.16-28.63,97.21-48.11
+					c3.29-5.95,4.29-11.99,3.98-17.77C325.32,210.52,325.34,209.62,325.34,208.72z"/>
+			</g>
+		</g>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-06.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-06.svg
new file mode 100644
index 00000000000..48ab569d0b0
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-06.svg	
@@ -0,0 +1,105 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F5F5F5;}
+	.st1{fill:#E8EDC5;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#85BAC6;}
+	.st4{fill:#F6E1DC;}
+	.st5{fill:#080717;}
+	.st6{fill:none;stroke:#080717;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st7{fill:#F2ECDE;}
+	.st8{fill:#C7E1E0;}
+	.st9{fill:#FCDEDE;}
+	.st10{fill:#EFCBBF;}
+	.st11{fill:#CEE1E7;}
+	.st12{fill:#FDEDE0;}
+	.st13{fill:#B9D2D7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#DDD6CC;}
+	.st17{fill:#F3F3F3;}
+	.st18{fill:#E0D5C1;}
+	.st19{fill:none;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st20{fill:#E0E0E0;}
+	.st21{fill:#DBDDC0;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4658 172.5338)" class="st10" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<path d="M244.35,244.56H97.88c-27.14,0-51.85,11.26-65.14,29.04c31.35,43.28,82.27,71.47,139.8,71.47
+			c56.64,0,106.91-27.3,138.36-69.45C297.94,256.59,272.38,244.56,244.35,244.56z"/>
+		<g>
+			<path d="M105.63,150.36c0,0-17.67-65.14-4.71-84.44c13.25-19.73,29.46-16.89,53.02-4.83c23.56,12.06,21.01-7.3,53.02,3.62
+				c17.67,6.03,29.46,19.3,28.28,32.57c-1.18,13.27-1.18,48.25-12.96,61.52C210.49,172.07,124.48,184.13,105.63,150.36z"/>
+			<g>
+				<path class="st2" d="M165.3,271.35h0.12c-14.46,0-26.19-11.73-26.19-26.19v-95.18c0-14.46,11.73-26.19,26.19-26.19h-0.12
+					c14.46,0,26.19,11.73,26.19,26.19v95.18C191.49,259.62,179.76,271.35,165.3,271.35z"/>
+				<path d="M165.42,273.48c-0.04,0-0.08,0-0.12,0c-0.01,0-0.03,0-0.05,0c-15.54-0.09-28.16-12.76-28.16-28.33v-95.18
+					c0-15.56,12.61-28.23,28.16-28.33c0.04,0,0.07,0,0.11,0c0.04,0,0.07,0,0.11,0c15.54,0.09,28.16,12.76,28.16,28.33v95.18
+					c0,15.56-12.61,28.23-28.16,28.33C165.45,273.48,165.44,273.48,165.42,273.48z M165.36,125.92
+					c-13.23,0.03-23.99,10.81-23.99,24.05v95.18c0,13.24,10.76,24.02,23.99,24.05c13.24-0.03,23.99-10.81,23.99-24.05v-95.18
+					C189.35,136.73,178.6,125.96,165.36,125.92z"/>
+			</g>
+			<g>
+				<path class="st2" d="M124.38,157.4c3.26,11.99,0.79,23.1-5.5,24.81c-6.29,1.71-14.03-6.63-17.29-18.62
+					c-3.26-11.99-0.79-23.1,5.5-24.81C113.39,137.06,121.13,145.4,124.38,157.4z"/>
+				<path d="M117.18,184.57c-3.2,0-6.55-1.75-9.65-5.08c-3.5-3.77-6.34-9.22-8-15.34c-3.62-13.33-0.54-25.38,7-27.43
+					c3.85-1.05,8.08,0.65,11.91,4.78c3.5,3.77,6.34,9.22,8,15.35c3.62,13.33,0.54,25.38-7,27.43
+					C118.7,184.47,117.95,184.57,117.18,184.57z M108.76,140.69c-0.38,0-0.75,0.05-1.1,0.14c-4.41,1.2-7.14,10.61-4,22.19
+					c1.49,5.47,3.97,10.29,7.01,13.56c2.66,2.87,5.45,4.16,7.66,3.57c4.41-1.2,7.14-10.61,4-22.19l0,0
+					c-1.49-5.47-3.97-10.29-7.01-13.56C113.08,141.99,110.75,140.69,108.76,140.69z"/>
+			</g>
+			<g>
+				<path class="st2" d="M203.77,157.4c-3.26,11.99-0.79,23.1,5.5,24.81c6.29,1.71,14.03-6.63,17.29-18.62
+					c3.26-11.99,0.79-23.1-5.5-24.81C214.76,137.06,207.02,145.4,203.77,157.4z"/>
+				<path d="M210.93,184.56c-0.75,0-1.49-0.1-2.22-0.29c-7.55-2.05-10.62-14.1-7-27.43c0,0,0,0,0,0
+					c3.62-13.33,12.37-22.19,19.91-20.12c3.85,1.04,6.64,4.65,7.86,10.15c1.11,5.02,0.81,11.16-0.86,17.28
+					C225.35,176.18,217.9,184.56,210.93,184.56z M205.83,157.96c-3.14,11.58-0.42,20.99,4,22.19c4.42,1.2,11.52-5.54,14.67-17.12
+					c1.49-5.47,1.77-10.89,0.81-15.24c-0.85-3.82-2.6-6.35-4.8-6.95C216.1,139.64,208.97,146.37,205.83,157.96L205.83,157.96z"/>
+			</g>
+			<g>
+				<path class="st2" d="M179.84,236.6h-31.25c-18.54,0-33.57-15.03-33.57-33.57v-89.64c0-18.54,15.03-33.57,33.57-33.57h31.25
+					c18.54,0,33.57,15.03,33.57,33.57v89.64C213.41,221.56,198.38,236.6,179.84,236.6z"/>
+				<path d="M181.51,238.73h-34.58c-18.77,0-34.04-15.27-34.04-34.04v-92.97c0-18.77,15.27-34.04,34.04-34.04h34.58
+					c18.77,0,34.04,15.27,34.04,34.04v92.97C215.55,223.46,200.28,238.73,181.51,238.73z M146.92,81.95
+					c-16.42,0-29.77,13.35-29.77,29.77v92.97c0,16.42,13.35,29.77,29.77,29.77h34.58c16.42,0,29.77-13.35,29.77-29.77v-92.97
+					c0-16.41-13.35-29.77-29.77-29.77H146.92z"/>
+			</g>
+			<path d="M132.4,159.37c1.29,3.3,4.26,5.21,6.63,4.29c2.37-0.93,3.25-4.35,1.96-7.65c-1.29-3.3-4.26-5.21-6.63-4.29
+				C131.98,152.66,131.11,156.08,132.4,159.37z"/>
+			<g>
+				<path d="M148.63,148.88c-0.46,0-0.92-0.15-1.31-0.45c-2.23-1.72-5.31-2.8-8.69-3.04c-4.13-0.29-8.01,0.74-10.43,2.75
+					c-0.91,0.75-2.26,0.62-3.01-0.28c-0.75-0.91-0.63-2.26,0.28-3.01c3.25-2.69,8.27-4.08,13.46-3.72c4.21,0.3,8.12,1.69,11.01,3.93
+					c0.93,0.72,1.1,2.06,0.38,3C149.9,148.6,149.27,148.88,148.63,148.88z"/>
+			</g>
+			<path d="M181.81,159.37c1.29,3.3,4.26,5.21,6.63,4.29c2.37-0.93,3.25-4.35,1.96-7.65c-1.29-3.3-4.26-5.21-6.63-4.29
+				C181.39,152.66,180.52,156.08,181.81,159.37z"/>
+			<g>
+				<path d="M198.04,148.88c-0.46,0-0.92-0.15-1.31-0.45c-2.23-1.72-5.31-2.8-8.69-3.04c-4.13-0.29-8.01,0.74-10.43,2.75
+					c-0.91,0.75-2.26,0.62-3.01-0.28c-0.75-0.91-0.63-2.26,0.28-3.01c3.25-2.69,8.27-4.08,13.46-3.72c4.21,0.3,8.12,1.69,11.01,3.93
+					c0.93,0.72,1.1,2.06,0.38,3C199.31,148.6,198.68,148.88,198.04,148.88z"/>
+			</g>
+			<g>
+				<path d="M161.62,181.86c-1.38,0-2.75-0.58-3.6-1.59c-1.71-2.01-1.54-4.69-1.43-6.29c0.6-9.15,1.42-18.42,2.45-27.55
+					c0.13-1.17,1.18-2.02,2.36-1.88c1.17,0.13,2.02,1.19,1.88,2.36c-1.02,9.06-1.84,18.27-2.44,27.35
+					c-0.08,1.24-0.12,2.61,0.42,3.25c0.05,0.04,0.18,0.07,0.29,0.08c0.34-0.92,1.3-1.5,2.31-1.36c1.17,0.17,1.98,1.26,1.8,2.42
+					c-0.21,1.46-1.24,2.6-2.75,3.03C162.51,181.8,162.07,181.86,161.62,181.86z"/>
+			</g>
+			<g>
+				<path d="M171.53,197.48c-1.65,0-3.27-0.29-4.78-0.87c-1.1-0.42-1.65-1.66-1.23-2.76c0.43-1.1,1.67-1.65,2.76-1.23
+					c2.51,0.97,5.51,0.73,8.22-0.66c2.71-1.38,4.66-3.67,5.35-6.28c0.3-1.14,1.47-1.82,2.61-1.52c1.14,0.3,1.82,1.47,1.52,2.61
+					c-1,3.78-3.75,7.06-7.53,8.99C176.24,196.91,173.86,197.48,171.53,197.48z"/>
+			</g>
+			<path d="M118.45,131.05c0,0,3.83-31.96,13.7-27.57c9.86,4.38,10.23,13.51,25.57,14.61c15.34,1.1,25.2-4.38,30.68,1.1
+				c5.48,5.48,15.34,17.53,28.49,8.77c13.15-8.77,14.43-29.76-6.39-40.72s-52.04-12.6-69.57-13.7
+				C123.38,72.43,105.3,104.75,118.45,131.05z"/>
+		</g>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-07.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-07.svg
new file mode 100644
index 00000000000..4aa9f92a8bb
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-07.svg	
@@ -0,0 +1,101 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F5F5F5;}
+	.st1{fill:#E8EDC5;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#85BAC6;}
+	.st4{fill:#F6E1DC;}
+	.st5{fill:#080717;}
+	.st6{fill:none;stroke:#080717;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st7{fill:#F2ECDE;}
+	.st8{fill:#C7E1E0;}
+	.st9{fill:#FCDEDE;}
+	.st10{fill:#EFCBBF;}
+	.st11{fill:#CEE1E7;}
+	.st12{fill:#FDEDE0;}
+	.st13{fill:#B9D2D7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#DDD6CC;}
+	.st17{fill:#F3F3F3;}
+	.st18{fill:#E0D5C1;}
+	.st19{fill:none;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st20{fill:#E0E0E0;}
+	.st21{fill:#DBDDC0;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4658 172.5337)" class="st11" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<path d="M39.92,235.73l54.91-134.06c22.11-53.99,88.92-73.05,136.19-38.86l13.32,9.63l29.61,28.62
+			c30.68,29.65,32.82,78.11,4.88,110.35l-11.53,13.31c-15.78,18.21-38.73,28.62-62.82,28.52l-153.35-0.69
+			C42.5,252.49,36.65,243.72,39.92,235.73z"/>
+		<g>
+
+				<rect x="163.1" y="160.29" transform="matrix(0.9811 -0.1935 0.1935 0.9811 -38.1958 41.2276)" class="st2" width="57.79" height="111.79"/>
+			<path d="M174.46,278.75c-1,0-1.89-0.71-2.1-1.72l-21.63-109.68c-0.11-0.56,0.01-1.13,0.32-1.6c0.32-0.47,0.8-0.8,1.36-0.91
+				l56.7-11.18c0.56-0.11,1.13,0.01,1.6,0.32c0.47,0.32,0.8,0.81,0.91,1.36l21.63,109.68c0.23,1.16-0.53,2.28-1.68,2.51l-56.7,11.18
+				C174.73,278.74,174.59,278.75,174.46,278.75z M155.34,168.61l20.8,105.49l52.5-10.35l-20.8-105.49L155.34,168.61z"/>
+		</g>
+		<path class="st2" d="M95.75,135.87l6.81,40.84c4.12,24.71,30.69,38.66,53.37,28.02l31.52-14.79
+			c24.25-11.38,32.36-41.9,16.95-63.81l-37.74-53.68l-38.09,11.15C105.97,90.2,91.88,112.65,95.75,135.87z"/>
+		<path d="M147.17,63.41l15.7,41.8l-76.43,27.86l-3.13-25.65c-2.33-19.05,10.74-36.48,29.32-39.11L147.17,63.41z"/>
+
+			<ellipse transform="matrix(0.982 -0.1891 0.1891 0.982 -21.3549 42.3381)" class="st2" cx="211.19" cy="133.08" rx="21.32" ry="21.32"/>
+		<path d="M146.99,74.22l34.21,42.61c8.35,10.4,22.04,10.42,30.42,0.05l11.88-14.7L191.5,68.06c-10.06-10.73-26.99-11.07-37.48-0.75
+			L146.99,74.22z"/>
+		<g>
+			<path class="st5" d="M29.51,243.9c-0.36,0-0.72-0.09-1.05-0.28c-1.03-0.58-1.39-1.89-0.8-2.91
+				c27.1-47.65,64.82-138.93,65.2-139.85c0.45-1.09,1.71-1.61,2.79-1.16c1.09,0.45,1.61,1.7,1.16,2.79
+				c-0.38,0.92-38.21,92.45-65.44,140.33C30.98,243.51,30.26,243.9,29.51,243.9z"/>
+		</g>
+		<g>
+			<path class="st2" d="M191.52,173.55c0,0-8.29,18.47-31.03,31.74L191.52,173.55z"/>
+			<path d="M160.49,207.42c-0.73,0-1.45-0.38-1.85-1.06c-0.59-1.02-0.25-2.33,0.77-2.92c21.89-12.77,30.08-30.59,30.16-30.77
+				c0.48-1.08,1.75-1.56,2.82-1.07c1.08,0.48,1.56,1.75,1.07,2.82c-0.35,0.78-8.83,19.25-31.9,32.71
+				C161.23,207.33,160.86,207.42,160.49,207.42z"/>
+		</g>
+		<g>
+			<path d="M95.12,143.71c-0.48,0-0.97-0.16-1.37-0.5c-0.91-0.76-1.03-2.1-0.27-3.01c3.93-4.71,9.35-6.3,9.58-6.37
+				c1.13-0.32,2.31,0.33,2.64,1.47c0.32,1.13-0.33,2.31-1.46,2.64c-0.1,0.03-4.44,1.35-7.48,5
+				C96.34,143.45,95.73,143.71,95.12,143.71z"/>
+		</g>
+		<g>
+			<path d="M128.52,131.63c-0.91,0-1.75-0.59-2.04-1.5c-0.35-1.13,0.28-2.32,1.4-2.68c1.24-0.39,12.37-3.72,18.64-0.58
+				c1.06,0.53,1.48,1.81,0.96,2.87c-0.53,1.06-1.81,1.48-2.87,0.96c-4.02-2.01-12.52-0.07-15.46,0.84
+				C128.94,131.6,128.73,131.63,128.52,131.63z"/>
+		</g>
+		<g>
+			<path class="st2" d="M120.17,148.32l-2.3,3.91c-2.13,3.61,0.48,8.17,4.67,8.17h4.02L120.17,148.32z"/>
+			<path d="M126.56,162.54h-4.02c-2.74,0-5.2-1.42-6.56-3.8c-1.36-2.38-1.35-5.22,0.04-7.58l2.3-3.91c0.59-1.02,1.91-1.36,2.92-0.76
+				c1.02,0.6,1.36,1.91,0.76,2.93l-2.3,3.91c-0.6,1.03-0.61,2.26-0.02,3.29c0.59,1.04,1.66,1.65,2.85,1.65h4.02
+				c1.18,0,2.14,0.96,2.14,2.14C128.7,161.58,127.74,162.54,126.56,162.54z"/>
+		</g>
+		<g>
+			<path d="M130.17,190.96c-5.66,0-11.03-5.89-16.4-17.96c-0.29-0.64-0.24-1.39,0.13-1.99c0.37-0.6,1.01-0.98,1.71-1.02l27.71-1.42
+				c0.69-0.05,1.34,0.26,1.77,0.79c0.43,0.53,0.58,1.24,0.4,1.9c-0.52,1.94-5.34,18.94-14.69,19.67
+				C130.6,190.95,130.39,190.96,130.17,190.96z M119,174.1c5.47,11.21,9.54,12.75,11.48,12.57c4.43-0.34,8.19-8.48,10-13.67
+				L119,174.1z"/>
+		</g>
+		<path d="M140.6,143c0,2.84-2.31,5.15-5.15,5.15c-2.84,0-5.15-2.31-5.15-5.15c0-2.84,2.31-5.15,5.15-5.15
+			C138.29,137.84,140.6,140.15,140.6,143z"/>
+		<path d="M112.32,149.43c0,2.84-2.31,5.15-5.15,5.15c-2.84,0-5.15-2.31-5.15-5.15c0-2.84,2.31-5.15,5.15-5.15
+			C110.02,144.27,112.32,146.58,112.32,149.43z"/>
+		<path class="st2" d="M278.26,260.44c-11.78-20.61-36.74-29.67-59-21.42l-49.53,18.37l-33.42,83.83
+			c11.68,2.5,23.79,3.84,36.22,3.84c48.69,0,92.63-20.2,124-52.64L278.26,260.44z"/>
+		<g>
+			<path class="st2" d="M296.54,292.43l-18.28-31.99c-11.78-20.61-36.74-29.67-59-21.42l-49.53,18.37l-33.42,83.83L296.54,292.43z"
+				/>
+			<path d="M136.31,343.36c-0.27,0-0.53-0.05-0.79-0.15c-1.1-0.44-1.63-1.68-1.19-2.78l33.42-83.83c0.22-0.56,0.67-1,1.24-1.21
+				l49.53-18.37c23.34-8.66,49.25,0.74,61.6,22.36l18.28,31.99c0.59,1.02,0.23,2.33-0.79,2.92c-1.03,0.59-2.33,0.23-2.92-0.8
+				L276.4,261.5c-11.31-19.79-35.03-28.4-56.4-20.47l-48.63,18.04l-33.07,82.95C137.96,342.85,137.16,343.36,136.31,343.36z"/>
+		</g>
+		<path d="M211.19,154.39l-15.88,96.85c0,0,29.37,1.89,50.21-9.47C266.37,230.39,211.19,154.39,211.19,154.39z"/>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-08.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-08.svg
new file mode 100644
index 00000000000..4cb7cba0854
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-08.svg	
@@ -0,0 +1,92 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F5F5F5;}
+	.st1{fill:#E8EDC5;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#85BAC6;}
+	.st4{fill:#F6E1DC;}
+	.st5{fill:#080717;}
+	.st6{fill:none;stroke:#080717;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st7{fill:#F2ECDE;}
+	.st8{fill:#C7E1E0;}
+	.st9{fill:#FCDEDE;}
+	.st10{fill:#EFCBBF;}
+	.st11{fill:#CEE1E7;}
+	.st12{fill:#FDEDE0;}
+	.st13{fill:#B9D2D7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#DDD6CC;}
+	.st17{fill:#F3F3F3;}
+	.st18{fill:#E0D5C1;}
+	.st19{fill:none;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st20{fill:#E0E0E0;}
+	.st21{fill:#DBDDC0;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4658 172.5338)" class="st12" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<path d="M236.14,83.2c-26.21,0-49.68,12.94-65.54,33.34c-9.36-4.83-19.79-7.54-30.8-7.54c-13.68,0-26.49,4.18-37.43,11.43
+			c-7.86-5.06-16.97-8.01-26.71-8.01c-29.44,0-53.3,26.45-53.3,59.07c0,32.62,40.78,95.87,117.45,99.44c16.3,0.76,76.46,4,96.34,4
+			c47.77,0,86.5-42.92,86.5-95.87C322.65,126.12,283.92,83.2,236.14,83.2z"/>
+		<path class="st3" d="M172.53,345.07c37.15,0,71.54-11.78,99.69-31.76l-3.65-9.71c-5.8-15.43-18.5-27.26-34.3-31.97l-88.3-26.3
+			c-20.21-6.02-42.05,0.58-55.55,16.78l-32.67,39.21C88.26,328.51,128.45,345.07,172.53,345.07z"/>
+		<g>
+			<path class="st3" d="M119.54,217.27c-3.34,0-6.57-1.08-9.28-3.14c-6.76-5.14-8.08-14.81-2.95-21.58c2.4-3.15,5.87-5.24,9.78-5.88
+				c1.16-0.19,2.26,0.6,2.45,1.76c0.19,1.16-0.6,2.26-1.77,2.45c-2.82,0.46-5.33,1.97-7.06,4.25c-1.8,2.37-2.56,5.29-2.16,8.24
+				c0.4,2.94,1.93,5.56,4.29,7.35c4.89,3.71,11.88,2.75,15.59-2.13c3.71-4.88,2.75-11.88-2.13-15.59c-0.94-0.71-1.12-2.05-0.41-2.99
+				c0.71-0.94,2.06-1.12,2.99-0.41c6.76,5.14,8.08,14.81,2.95,21.58c-2.49,3.27-6.1,5.39-10.18,5.94
+				C120.95,217.22,120.24,217.27,119.54,217.27z"/>
+		</g>
+		<path class="st2" d="M215.1,290.02h-39.77c-7.1,0-12.86-5.76-12.86-12.86V176.12h58.19v108.33
+			C220.67,287.52,218.18,290.02,215.1,290.02z"/>
+		<polygon points="204.08,189.31 162.47,229.17 162.47,180.28 204.08,180.28 		"/>
+		<ellipse transform="matrix(0.2298 -0.9732 0.9732 0.2298 3.1088 201.0655)" cx="128.58" cy="98.57" rx="54.07" ry="54.07"/>
+		<ellipse transform="matrix(0.2298 -0.9732 0.9732 0.2298 66.3313 274.9063)" cx="206.85" cy="95.55" rx="54.63" ry="54.63"/>
+		<path class="st2" d="M141.67,111.64l-27.11,44.68c-12.98,21.39,1.93,48.82,26.93,49.58l3.77,0.11c5.89,0.18,11.76-0.65,17.37-2.45
+			l53.5-17.15c10.37-3.32,15.77-14.72,11.78-24.85l-6.15-15.61C221.76,145.96,191.6,90.84,141.67,111.64z"/>
+		<path class="st2" d="M240.48,166.76c0,9.19-7.45,16.64-16.64,16.64c-9.19,0-16.64-7.45-16.64-16.64c0-9.19,7.45-16.64,16.64-16.64
+			C233.03,150.12,240.48,157.57,240.48,166.76z"/>
+		<circle cx="152.07" cy="98.12" r="23.92"/>
+		<ellipse transform="matrix(0.2669 -0.9637 0.9637 0.2669 57.7542 288.3429)" cx="218.41" cy="106.21" rx="45.99" ry="45.99"/>
+		<g>
+			<path d="M174.95,154.34c-1.1,0-2.03-0.84-2.13-1.96c-0.87-10.36-16.44-10.52-16.6-10.52c-1.18,0-2.13-0.96-2.13-2.14
+				c0-1.18,0.96-2.13,2.13-2.13c6.79,0,19.9,3.02,20.85,14.44c0.1,1.18-0.77,2.21-1.95,2.31
+				C175.07,154.34,175.01,154.34,174.95,154.34z"/>
+		</g>
+		<g>
+			<path d="M139.84,138.2c-0.88,0-1.7-0.54-2.01-1.42c-3.5-9.79-18.59-5.93-18.75-5.89c-1.13,0.3-2.31-0.38-2.61-1.52
+				c-0.3-1.14,0.37-2.31,1.51-2.61c6.58-1.75,20.01-2.2,23.87,8.59c0.4,1.11-0.18,2.33-1.29,2.73
+				C140.33,138.16,140.08,138.2,139.84,138.2z"/>
+		</g>
+		<g>
+			<path d="M130.75,160.58c-0.49,0-0.98-0.17-1.38-0.51l-3.31-2.8c-2.79-2.36-3.16-6.57-0.82-9.39c2-2.4,5.34-3.1,8.13-1.7
+				l2.47,1.24l14.01-18.36c0.72-0.94,2.06-1.12,2.99-0.4c0.94,0.72,1.12,2.06,0.4,3l-15.08,19.76c-0.62,0.81-1.74,1.07-2.65,0.61
+				l-4.06-2.03c-1.01-0.51-2.22-0.25-2.93,0.61c-0.85,1.02-0.71,2.54,0.29,3.39l3.31,2.8c0.9,0.76,1.01,2.11,0.25,3.01
+				C131.96,160.32,131.36,160.58,130.75,160.58z"/>
+		</g>
+		<g>
+			<path d="M137.82,177.41c-6.36,0-10.48-2.4-10.77-2.57c-1.01-0.61-1.34-1.92-0.73-2.93c0.61-1.01,1.91-1.34,2.92-0.74
+				c0.41,0.24,9.56,5.42,21.71-2.06c1.01-0.62,2.32-0.3,2.94,0.7c0.62,1,0.3,2.32-0.7,2.94
+				C147.38,176.32,142.09,177.41,137.82,177.41z"/>
+		</g>
+		<g>
+			<path d="M223.84,168.9c-0.27,0-0.55-0.05-0.81-0.16c-1.09-0.45-1.61-1.7-1.16-2.79c0.43-1.06,4.51-10.29,10.53-9.63
+				c1.17,0.13,2.02,1.19,1.89,2.36c-0.13,1.17-1.2,2.02-2.36,1.89c-2.07-0.22-4.83,3.93-6.11,7.01
+				C225.47,168.4,224.68,168.9,223.84,168.9z"/>
+		</g>
+		<g>
+			<path class="st3" d="M239.7,202.18c-8.49,0-15.4-6.91-15.4-15.4c0-3.96,1.5-7.73,4.23-10.6c0.82-0.85,2.17-0.89,3.02-0.08
+				c0.86,0.81,0.89,2.16,0.08,3.02c-1.97,2.07-3.05,4.79-3.05,7.66c0,6.13,4.99,11.13,11.12,11.13c6.13,0,11.12-4.99,11.12-11.13
+				c0-6.13-4.99-11.12-11.12-11.12c-1.18,0-2.14-0.96-2.14-2.14c0-1.18,0.96-2.14,2.14-2.14c8.49,0,15.4,6.91,15.4,15.4
+				S248.19,202.18,239.7,202.18z"/>
+		</g>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-09.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-09.svg
new file mode 100644
index 00000000000..92747506671
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-09.svg	
@@ -0,0 +1,91 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F5F5F5;}
+	.st1{fill:#E8EDC5;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#85BAC6;}
+	.st4{fill:#F6E1DC;}
+	.st5{fill:#080717;}
+	.st6{fill:none;stroke:#080717;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st7{fill:#F2ECDE;}
+	.st8{fill:#C7E1E0;}
+	.st9{fill:#FCDEDE;}
+	.st10{fill:#EFCBBF;}
+	.st11{fill:#CEE1E7;}
+	.st12{fill:#FDEDE0;}
+	.st13{fill:#B9D2D7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#DDD6CC;}
+	.st17{fill:#F3F3F3;}
+	.st18{fill:#E0D5C1;}
+	.st19{fill:none;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st20{fill:#E0E0E0;}
+	.st21{fill:#DBDDC0;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4658 172.5338)" class="st13" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<path d="M197.32,59.58L197.32,59.58c-44.44-4.39-84.03,28.08-88.42,72.53l-9.54,96.61c-1.43,14.53,1.09,28.53,6.67,40.96
+			c21.74,15.64,48.39,24.89,77.22,24.89c24.48,0,47.39-6.67,67.06-18.25c5.34-9.48,8.86-20.18,10-31.71l9.54-96.61
+			C274.23,103.56,241.76,63.97,197.32,59.58z"/>
+		<path class="st3" d="M172.53,345.07c39.62,0,76.09-13.39,105.22-35.84c-8.18-20.9-26.69-37.18-50.4-41.46l-91.98-16.57
+			c-35.24-6.35-68.99,16.18-76.95,50.7C88.85,328.74,128.77,345.07,172.53,345.07z"/>
+		<path class="st2" d="M119.49,203.71L119.49,203.71c-22.97-16.88-27.91-49.19-11.02-72.16l22.82-31.05
+			c16.88-22.97,49.19-27.91,72.16-11.02h0c22.97,16.88,27.91,49.19,11.02,72.16l-22.82,31.05
+			C174.77,215.66,142.46,220.59,119.49,203.71z"/>
+		<path d="M266.56,181.24l3.28-33.24c4.18-42.33-25.09-80.23-66.28-87.53c-7.23,3.38-13.78,8.47-18.99,15.23l0,0
+			c-17.4,22.58-13.21,54.99,9.36,72.39l30.51,23.52C236.89,181.2,252.31,184.22,266.56,181.24z"/>
+		<path class="st2" d="M192.04,196.13l30.66-6.08c11.42-2.26,18.84-13.36,16.58-24.78l0,0c-2.26-11.42-13.36-18.84-24.78-16.58
+			l-30.66,6.08c-11.42,2.27-18.84,13.36-16.58,24.78l0,0C169.52,190.97,180.62,198.39,192.04,196.13z"/>
+		<path class="st2" d="M194.22,281.73l-43.07-10.81c-4.42-1.11-7.11-5.6-6-10.02l25.78-102.69l60.05,15.08l-25.54,101.73
+			C204.19,279.96,199.17,282.97,194.22,281.73z"/>
+		<g>
+			<path d="M212.36,75.67c-0.65,0-1.29-0.3-1.71-0.85c-0.71-0.94-0.52-2.28,0.43-2.99c7.59-5.69,5.74-16.71,5.72-16.82
+				c-0.21-1.16,0.57-2.27,1.73-2.48c1.15-0.21,2.27,0.57,2.47,1.73c0.1,0.56,2.3,13.73-7.36,20.98
+				C213.26,75.53,212.81,75.67,212.36,75.67z"/>
+		</g>
+		<g>
+			<path d="M213.61,76.64c-0.14,0-0.28-0.01-0.42-0.04c-1.16-0.23-1.91-1.36-1.68-2.52c2.37-11.84,15.21-15.54,15.76-15.69
+				c1.13-0.32,2.32,0.35,2.63,1.49c0.32,1.14-0.35,2.31-1.48,2.63c-0.15,0.04-10.87,3.19-12.72,12.41
+				C215.5,75.93,214.6,76.64,213.61,76.64z"/>
+		</g>
+		<circle class="st3" cx="229.81" cy="192.03" r="8"/>
+		<g>
+			<path d="M154.92,217.25c-1.05,0-1.97-0.77-2.11-1.84c-0.16-1.17,0.65-2.25,1.82-2.41c11.03-1.54,25.01-12.36,25.15-12.47
+				c0.93-0.73,2.27-0.56,3,0.37c0.73,0.93,0.56,2.27-0.37,3c-0.61,0.47-15.04,11.64-27.19,13.33
+				C155.12,217.25,155.02,217.25,154.92,217.25z"/>
+		</g>
+		<g>
+			<path d="M123.67,141.83c-0.86,0-1.68-0.53-2-1.38c-0.42-1.1,0.14-2.34,1.25-2.75c0.65-0.24,15.8-6.13,13.91-18.77
+				c-1.47-9.78-6.82-15.18-15.92-16.03c-1.17-0.11-2.04-1.15-1.93-2.33c0.11-1.18,1.16-2.04,2.33-1.93
+				c7.77,0.73,17.51,4.72,19.75,19.65c1.93,12.85-10.03,20.93-16.63,23.4C124.17,141.78,123.92,141.83,123.67,141.83z"/>
+		</g>
+		<g>
+			<path d="M181.31,147.15c-0.15,0-0.29-0.01-0.44-0.05c-1.15-0.24-1.89-1.38-1.65-2.53c0.6-2.86,0.76-5.51,0.46-7.88
+				c-1.93-15.41-22.61-15.92-23.49-15.93c-1.18-0.02-2.12-0.99-2.1-2.17c0.02-1.18,0.94-2.15,2.16-2.1
+				c8.73,0.12,25.75,4.39,27.67,19.67c0.36,2.84,0.18,5.97-0.52,9.3C183.18,146.46,182.3,147.15,181.31,147.15z"/>
+		</g>
+		<g>
+			<path d="M139.12,176.19c-6.22,0-10.67-2.64-10.75-2.69c-1.01-0.62-1.32-1.93-0.71-2.94c0.61-1.01,1.93-1.32,2.93-0.71l0,0
+				c0.48,0.29,11.82,6.88,22.79-4.73c0.81-0.86,2.16-0.9,3.02-0.09c0.86,0.81,0.9,2.16,0.09,3.02
+				C150.46,174.43,144.2,176.19,139.12,176.19z"/>
+		</g>
+		<g>
+			<path d="M231.26,165.82c-0.73,0-1.43-0.37-1.83-1.04c-3.35-5.59-14.02-1.22-14.13-1.17c-1.09,0.45-2.34-0.06-2.8-1.15
+				c-0.45-1.09,0.05-2.34,1.14-2.8c0.58-0.24,14.2-5.85,19.45,2.91c0.61,1.01,0.28,2.32-0.73,2.93
+				C232.01,165.72,231.63,165.82,231.26,165.82z"/>
+		</g>
+		<path d="M168.69,138.37c0,2.99-2.42,5.41-5.41,5.41s-5.41-2.42-5.41-5.41c0-2.99,2.42-5.41,5.41-5.41S168.69,135.38,168.69,138.37
+			z"/>
+		<path d="M130.53,124.42c0,2.99-2.42,5.41-5.41,5.41s-5.41-2.42-5.41-5.41c0-2.99,2.42-5.41,5.41-5.41S130.53,121.44,130.53,124.42
+			z"/>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-10.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-10.svg
new file mode 100644
index 00000000000..5edf770b1bc
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-10.svg	
@@ -0,0 +1,110 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F5F5F5;}
+	.st1{fill:#E8EDC5;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#85BAC6;}
+	.st4{fill:#F6E1DC;}
+	.st5{fill:#080717;}
+	.st6{fill:none;stroke:#080717;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st7{fill:#F2ECDE;}
+	.st8{fill:#C7E1E0;}
+	.st9{fill:#FCDEDE;}
+	.st10{fill:#EFCBBF;}
+	.st11{fill:#CEE1E7;}
+	.st12{fill:#FDEDE0;}
+	.st13{fill:#B9D2D7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#DDD6CC;}
+	.st17{fill:#F3F3F3;}
+	.st18{fill:#E0D5C1;}
+	.st19{fill:none;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st20{fill:#E0E0E0;}
+	.st21{fill:#DBDDC0;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4659 172.5338)" class="st13" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<path class="st3" d="M261.01,255.79l-137.99-35.08c-23.83-6.06-49.08,1.15-66.11,18.88l-27.77,28.9
+			c30.96,46.18,83.62,76.58,143.4,76.58c51.76,0,98.15-22.82,129.78-58.91C293.07,271.18,278.33,260.19,261.01,255.79z"/>
+		<path class="st2" d="M168.57,223.77c0,0-61.82,34.82-45.48,60.4c16.34,25.58,63.24,0,83.85-18.47
+			c20.61-18.47,20.61-18.47,20.61-18.47L168.57,223.77z"/>
+
+			<rect x="121.65" y="162.92" transform="matrix(0.9532 -0.3025 0.3025 0.9532 -56.4132 57.5317)" class="st2" width="71.82" height="95.99"/>
+		<path d="M190.34,208.4l-17.17-54.1l-64.36,20.42l18.38,57.91C150.09,234.48,173.5,226.24,190.34,208.4z"/>
+		<path class="st2" d="M101.05,200.31L101.05,200.31c-29.07-25.46-32.01-69.66-6.55-98.73l27.2-31.07
+			c25.46-29.07,69.66-32.01,98.73-6.55l1.04,0.91c33.51,29.34,36.89,80.29,7.55,113.8l-12.22,13.96
+			C186.96,226.72,135.13,230.15,101.05,200.31z"/>
+		<path d="M239.76,80.89l-28.76-25.18c-23.87-20.9-60.16-18.49-81.05,5.38c0,0,28.41-19.3,78.17,50.65l0,0l-5.5,10.99
+			c-3.79,7.57-4.68,16.26-2.53,24.45l1.4,5.3l-11.16,14.5c-4.32,5.62-3.33,13.66,2.23,18.06l12.72,10.07l10.31-1.1l29.45-33.63
+			C265.53,136.97,263.17,101.38,239.76,80.89z"/>
+
+			<ellipse transform="matrix(0.098 -0.9952 0.9952 0.098 8.6031 388.3498)" class="st2" cx="218.54" cy="189.43" rx="26.53" ry="26.53"/>
+		<g>
+			<path class="st3" d="M100.69,126.49c-1.72,0-3.46-0.16-5.19-0.48c-7.35-1.37-13.73-5.52-17.97-11.69
+				c-4.23-6.17-5.81-13.62-4.44-20.97c1.37-7.35,5.52-13.74,11.69-17.97c6.17-4.23,13.61-5.81,20.97-4.44
+				c7.35,1.37,13.73,5.52,17.97,11.69c4.23,6.17,5.81,13.62,4.44,20.97l0,0c-1.37,7.35-5.52,13.74-11.69,17.97
+				C111.75,124.81,106.28,126.49,100.69,126.49z M100.57,74.74c-4.74,0-9.38,1.43-13.38,4.17c-5.23,3.59-8.75,8.99-9.91,15.23
+				c-1.16,6.23,0.17,12.54,3.76,17.77c3.59,5.23,8.99,8.74,15.22,9.91c6.24,1.16,12.55-0.18,17.77-3.76
+				c5.23-3.59,8.75-8.99,9.91-15.23l0,0c1.16-6.23-0.17-12.54-3.76-17.77c-3.59-5.23-8.99-8.75-15.22-9.91
+				C103.5,74.87,102.03,74.74,100.57,74.74z"/>
+		</g>
+		<g>
+			<path class="st3" d="M150.2,160.77c-1.72,0-3.46-0.16-5.19-0.48c-7.35-1.37-13.73-5.52-17.97-11.69
+				c-4.23-6.17-5.81-13.62-4.44-20.97c2.83-15.18,17.49-25.24,32.66-22.41c7.36,1.37,13.74,5.52,17.97,11.69
+				c4.23,6.17,5.81,13.62,4.44,20.97l0,0c-1.37,7.35-5.52,13.74-11.69,17.97C161.26,159.09,155.8,160.77,150.2,160.77z
+				 M150.13,109.02c-11.2,0-21.2,7.99-23.32,19.39c-1.16,6.23,0.17,12.54,3.76,17.77c3.59,5.23,8.99,8.75,15.22,9.91
+				c6.24,1.16,12.54-0.17,17.77-3.76c5.23-3.59,8.75-8.99,9.91-15.23l0,0c1.16-6.23-0.17-12.54-3.76-17.77
+				c-3.59-5.23-8.99-8.75-15.23-9.91C153.02,109.15,151.56,109.02,150.13,109.02z"/>
+		</g>
+		<g>
+			<path class="st3" d="M204.8,167.64c-0.45,0-0.9-0.14-1.29-0.44l-30.61-23.26c-0.94-0.71-1.12-2.05-0.41-2.99
+				c0.71-0.94,2.05-1.12,2.99-0.41l30.61,23.26c0.94,0.71,1.12,2.05,0.41,2.99C206.09,167.35,205.45,167.64,204.8,167.64z"/>
+		</g>
+		<g>
+			<path class="st3" d="M131.36,115.68c-0.5,0-1-0.17-1.4-0.52l-7.05-6.13c-0.89-0.77-0.99-2.12-0.21-3.01
+				c0.78-0.89,2.12-0.98,3.02-0.21l7.05,6.13c0.89,0.77,0.98,2.12,0.21,3.01C132.55,115.43,131.96,115.68,131.36,115.68z"/>
+		</g>
+		<path d="M158.72,134.18c-2.59,3.45-6.47,4.92-8.67,3.27c-2.2-1.65-1.88-5.78,0.71-9.24c2.59-3.45,6.47-4.92,8.67-3.27
+			C161.63,126.59,161.31,130.73,158.72,134.18z"/>
+		<ellipse transform="matrix(0.6001 -0.7999 0.7999 0.6001 -37.311 132.9443)" cx="114.31" cy="103.79" rx="7.82" ry="4.97"/>
+		<g>
+			<path d="M111.63,160.61c-6.92,0-12.14-4.67-14.3-7.85c-0.66-0.98-0.41-2.31,0.57-2.97c0.97-0.66,2.3-0.41,2.97,0.56
+				c0.26,0.38,6.34,9.01,15.85,4.85c1.09-0.47,2.34,0.02,2.81,1.1c0.47,1.08-0.02,2.34-1.1,2.81
+				C116.03,160.17,113.75,160.61,111.63,160.61z"/>
+		</g>
+		<g>
+			<path d="M179.93,117.5c-0.97,0-1.84-0.66-2.08-1.64c-2.92-12.26-17.36-17.12-17.51-17.17c-1.12-0.37-1.73-1.57-1.37-2.69
+				c0.37-1.12,1.57-1.74,2.69-1.37c0.69,0.22,16.86,5.63,20.34,20.24c0.27,1.15-0.43,2.3-1.58,2.57
+				C180.26,117.48,180.09,117.5,179.93,117.5z"/>
+		</g>
+		<g>
+			<path d="M133.23,84.95c-0.82,0-1.6-0.47-1.95-1.27c-0.21-0.48-5.35-11.55-18.04-13.27c-1.17-0.16-1.99-1.23-1.83-2.4
+				c0.16-1.17,1.23-1.99,2.4-1.83c15.11,2.04,21.12,15.2,21.37,15.76c0.48,1.08-0.01,2.34-1.09,2.82
+				C133.82,84.89,133.52,84.95,133.23,84.95z"/>
+		</g>
+		<g>
+			<path d="M200.54,190.38c-0.38,0-0.77-0.1-1.12-0.32c-1-0.62-1.31-1.94-0.69-2.94c0.29-0.47,7.29-11.6,17.69-13.74
+				c4.84-1,9.58,0.1,14.09,3.25c0.97,0.68,1.2,2.01,0.53,2.98c-0.68,0.97-2.01,1.2-2.98,0.53c-3.56-2.49-7.07-3.32-10.77-2.57
+				c-8.59,1.76-14.87,11.71-14.93,11.81C201.95,190.02,201.25,190.38,200.54,190.38z"/>
+		</g>
+		<g>
+			<path d="M242.46,93.75c-0.48,0-0.95-0.16-1.35-0.48c-0.91-0.75-1.05-2.09-0.3-3.01c5.38-6.58-0.15-16.69-0.21-16.79
+				c-0.57-1.03-0.21-2.33,0.82-2.91c1.03-0.58,2.33-0.21,2.9,0.81c0.29,0.52,7.03,12.74-0.21,21.59
+				C243.7,93.48,243.08,93.75,242.46,93.75z"/>
+		</g>
+		<g>
+			<path d="M246.02,90.19c-0.55,0-1.09-0.21-1.51-0.63c-0.83-0.83-0.83-2.19,0-3.02c4.35-4.35,9.24-3.01,11.22-1.69
+				c0.98,0.65,1.25,1.98,0.59,2.96c-0.65,0.98-1.96,1.24-2.94,0.61c-0.49-0.31-3.04-1.67-5.85,1.14
+				C247.11,89.98,246.56,90.19,246.02,90.19z"/>
+		</g>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-11.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-11.svg
new file mode 100644
index 00000000000..29733814ed4
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-11.svg	
@@ -0,0 +1,102 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F5F5F5;}
+	.st1{fill:#E8EDC5;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#85BAC6;}
+	.st4{fill:#F6E1DC;}
+	.st5{fill:#080717;}
+	.st6{fill:none;stroke:#080717;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st7{fill:#F2ECDE;}
+	.st8{fill:#C7E1E0;}
+	.st9{fill:#FCDEDE;}
+	.st10{fill:#EFCBBF;}
+	.st11{fill:#CEE1E7;}
+	.st12{fill:#FDEDE0;}
+	.st13{fill:#B9D2D7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#DDD6CC;}
+	.st17{fill:#F3F3F3;}
+	.st18{fill:#E0D5C1;}
+	.st19{fill:none;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st20{fill:#E0E0E0;}
+	.st21{fill:#DBDDC0;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4659 172.5338)" class="st12" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<path d="M246.56,173.72c15.94-27.96,14.3-58.31,14.3-58.31c0-31.38-52.77-71.47-85.19-73.51c-4.98-1.4-10.22-2.16-15.64-2.16
+			c-31.92,0-57.79,25.87-57.79,57.79v17.69c-1.59,9.61-2.5,18.19-3.33,24.16c-3.79,27.47-29.37,26.53-41.69,40.74
+			c-12.32,14.21,0,26.53-1.9,47.37c-1.67,18.33-17.25,18.35-28.07,38.06c7.54,11.75,16.45,22.51,26.53,32.08
+			c30.6,6.59,72.6,6.6,72.6,6.6s183.59,54.5,147.56-56.84C267.9,228.69,231.3,200.48,246.56,173.72z"/>
+		<g>
+			<path d="M35.2,250.46c-0.62,0-1.23-0.27-1.65-0.78c-0.75-0.91-0.61-2.26,0.3-3.01c10.09-8.26,14.84-13.85,17.96-32.73
+				c1.19-7.21,0.32-13.56-0.45-19.17c-1.25-9.11-2.43-17.72,6.02-26.04c4.79-4.72,11.1-7.38,17.19-9.95
+				c10.87-4.58,21.13-8.91,24.39-24.13c0.35-1.66,0.73-3.55,1.15-5.62c0.93-4.65,2.1-10.42,3.58-16.57l1.17-16.32
+				c2.22-30.89,29.54-54.19,60.83-51.94c5.18,0.37,10.3,1.45,15.22,3.19c1.11,0.4,1.69,1.62,1.3,2.73c-0.39,1.11-1.61,1.69-2.73,1.3
+				c-4.56-1.62-9.3-2.62-14.1-2.96c-28.98-2.08-54.22,19.44-56.27,47.98l-1.19,16.5c-0.01,0.12-0.03,0.23-0.05,0.35
+				c-1.48,6.13-2.65,11.92-3.59,16.58c-0.42,2.08-0.8,3.99-1.16,5.67c-3.72,17.4-16.04,22.59-26.91,27.18
+				c-5.99,2.52-11.65,4.91-15.85,9.05c-6.93,6.82-6.03,13.36-4.79,22.42c0.81,5.91,1.73,12.61,0.43,20.45
+				c-3.19,19.32-8.35,26.24-19.47,35.34C36.15,250.31,35.68,250.46,35.2,250.46z"/>
+		</g>
+		<g>
+			<path d="M209.82,323.87c-2.95,0-5.97-0.05-9.07-0.14c-31.23-0.96-59-6.64-59.28-6.69c-1.16-0.24-1.9-1.37-1.66-2.53
+				c0.24-1.16,1.36-1.89,2.52-1.66c1.09,0.23,109.13,22.07,139.09-14.34c9.89-12.02,10.14-29.46,0.74-51.84
+				c-2.28-5.44-7.83-11.86-13.69-18.65c-13.01-15.07-29.2-33.83-19.79-54.16c13.1-28.31,9.19-57.83,9.15-58.12
+				c-1.16-13.64-13.66-29.88-33.46-43.55c-18.65-12.88-40.4-21.06-55.47-20.66c-1.12,0.05-2.16-0.91-2.18-2.09
+				c-0.02-1.18,0.91-2.16,2.09-2.18c16.11-0.32,38.35,7.86,57.99,21.42c21.15,14.6,34.01,31.59,35.28,46.6
+				c0.16,1.14,4.11,30.95-9.52,60.39c-8.25,17.83,6.31,34.69,19.15,49.57c6.09,7.06,11.85,13.72,14.39,19.79
+				c10.06,23.96,9.59,42.88-1.38,56.21C272.35,316.27,247.17,323.87,209.82,323.87z"/>
+		</g>
+		<path class="st3" d="M133.96,229.38c-43.16,0-82.76,8.99-113.86,23.98c28.98,54.55,86.36,91.71,152.44,91.71
+			c49.32,0,93.76-20.72,125.21-53.9C268.81,254.66,206.37,229.38,133.96,229.38z"/>
+
+			<rect x="113.35" y="164.82" transform="matrix(0.9639 0.2664 -0.2664 0.9639 62.0803 -32.0703)" class="st2" width="71.82" height="95.99"/>
+		<path d="M183.32,224.38l13.34-48.26l-43.97-12.15l-18.6,12.62C139.92,198.09,157.12,215.49,183.32,224.38z"/>
+		<path class="st2" d="M182.76,203.8L182.76,203.8c-31.92,0-57.79-25.87-57.79-57.79v-36.17c0-31.92,25.87-57.79,57.79-57.79l0,0
+			c31.92,0,57.79,25.87,57.79,57.79v36.17C240.55,177.92,214.68,203.8,182.76,203.8z"/>
+		<path d="M178.65,48.42L178.65,48.42c-34.62,0-62.69,27.06-62.69,60.44v12.46c24.33,15.44,57.36,12.85,78.76-7.78l27.74-26.75
+			c3.43-3.31,6.37-6.91,8.84-10.72C220.13,59.44,200.73,48.42,178.65,48.42z"/>
+		<path class="st2" d="M134.6,157.62L134.6,157.62c-8.83,3.96-19.2,0-23.16-8.84l-1.16-2.59c-3.96-8.84,0-19.2,8.84-23.16v0
+			c8.83-3.96,19.2,0,23.16,8.84l1.16,2.59C147.39,143.29,143.43,153.66,134.6,157.62z"/>
+		<path d="M233.61,134.5c-0.7,4.26-3.47,7.35-6.18,6.9c-2.71-0.45-4.34-4.26-3.63-8.52c0.7-4.26,3.47-7.35,6.18-6.9
+			C232.68,126.43,234.31,130.24,233.61,134.5z"/>
+		<g>
+			<path d="M248.39,125.87c-0.6,0-1.19-0.25-1.62-0.74c-8.25-9.52-23.31-7.17-23.46-7.14c-1.17,0.2-2.26-0.59-2.46-1.76
+				c-0.19-1.16,0.59-2.26,1.75-2.46c0.71-0.12,17.55-2.79,27.39,8.56c0.77,0.89,0.68,2.24-0.21,3.01
+				C249.38,125.7,248.89,125.87,248.39,125.87z"/>
+		</g>
+		<path d="M195.01,130.71c-0.7,4.26-3.47,7.35-6.18,6.9c-2.71-0.45-4.34-4.26-3.63-8.52c0.7-4.26,3.47-7.35,6.18-6.9
+			C194.08,122.64,195.71,126.45,195.01,130.71z"/>
+		<g>
+			<path d="M205.99,119.93c-0.48,0-0.96-0.16-1.36-0.49c-9.71-8.03-24.17-3.22-24.32-3.17c-1.1,0.38-2.33-0.21-2.71-1.33
+				c-0.38-1.11,0.21-2.33,1.32-2.71c0.68-0.23,16.85-5.65,28.43,3.92c0.91,0.75,1.04,2.1,0.29,3.01
+				C207.21,119.66,206.6,119.93,205.99,119.93z"/>
+		</g>
+		<g>
+			<path d="M209.28,160.93c-1.18,0-2.13-0.95-2.13-2.13c0-1.18,0.95-2.14,2.13-2.14c2.22-0.01,7.23-0.64,8.59-2.58
+				c0.26-0.37,0.55-1.02,0.06-2.37c-2.32-6.37-6.31-25.77-6.48-26.59c-0.24-1.16,0.51-2.29,1.66-2.52c1.15-0.24,2.29,0.51,2.52,1.66
+				c0.04,0.2,4.1,19.91,6.31,25.99c1.08,2.97,0.28,5.05-0.58,6.28C218.37,160.81,210.2,160.93,209.28,160.93z"/>
+		</g>
+		<g>
+			<path d="M206.44,175.14c-0.05,0-0.09,0-0.14,0c-12.26-0.77-19.1-10.45-19.39-10.86c-0.67-0.97-0.43-2.3,0.54-2.97
+				c0.97-0.67,2.3-0.43,2.97,0.54c0.1,0.14,6.03,8.4,16.14,9.03c1.18,0.07,2.07,1.09,2,2.27
+				C208.5,174.27,207.56,175.14,206.44,175.14z"/>
+		</g>
+		<path class="st2" d="M141.54,228.43c-19.24,0-37.2,2.53-52.42,6.9c4.28,35.19,30.25,62.26,61.67,62.26
+			c29.49,0,54.18-23.87,60.64-55.91C193.45,233.49,168.78,228.43,141.54,228.43z"/>
+		<g>
+			<path d="M131.84,149.09c-0.05,0-0.1,0-0.15-0.01c-1.18-0.08-2.06-1.1-1.98-2.28c0.82-11.67-6-14.81-6.29-14.94
+				c-1.07-0.47-1.57-1.73-1.11-2.8c0.46-1.07,1.69-1.59,2.78-1.13c0.41,0.17,9.93,4.31,8.89,19.18
+				C133.89,148.23,132.95,149.09,131.84,149.09z"/>
+		</g>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-12.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-12.svg
new file mode 100644
index 00000000000..07ee1822448
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-12.svg	
@@ -0,0 +1,92 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F5F5F5;}
+	.st1{fill:#E8EDC5;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#85BAC6;}
+	.st4{fill:#F6E1DC;}
+	.st5{fill:#080717;}
+	.st6{fill:none;stroke:#080717;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st7{fill:#F2ECDE;}
+	.st8{fill:#C7E1E0;}
+	.st9{fill:#FCDEDE;}
+	.st10{fill:#EFCBBF;}
+	.st11{fill:#CEE1E7;}
+	.st12{fill:#FDEDE0;}
+	.st13{fill:#B9D2D7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#DDD6CC;}
+	.st17{fill:#F3F3F3;}
+	.st18{fill:#E0D5C1;}
+	.st19{fill:none;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st20{fill:#E0E0E0;}
+	.st21{fill:#DBDDC0;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4659 172.5338)" class="st10" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<g>
+			<path d="M66.7,307.55c-0.27,0-0.55-0.05-0.82-0.16c-1.09-0.45-1.61-1.7-1.15-2.79l5.49-13.24
+				c13.63-32.86,46.64-53.86,82.21-52.24l82.77,3.76c0.32,0.01,0.63,0.1,0.91,0.25l69.63,36.95c1.04,0.55,1.44,1.85,0.89,2.89
+				c-0.55,1.04-1.85,1.44-2.89,0.89l-69.21-36.72l-82.29-3.74c-33.75-1.53-65.12,18.4-78.07,49.61l-5.49,13.24
+				C68.33,307.05,67.54,307.55,66.7,307.55z"/>
+		</g>
+		<path class="st2" d="M225.86,208.06l9.24,36.95l17.05,9.95l-23.6,39.41c-14.85,24.8-52.11,20.03-60.24-7.71l-7.83-26.73
+			L225.86,208.06z"/>
+		<path d="M168.32,286.67c0.51,1.73,1.13,3.37,1.85,4.92c6.35-4.12,11.99-9.82,16.38-17.16l37.18-62.11l-1.87-1.09l-61.37,48.7
+			L168.32,286.67z"/>
+		<path d="M217.65,72.93c-26.22-14.43-61.35-8.85-67.22,1.39c-4.95-5.22-11.8-9.17-19.85-10.84c-18.79-3.9-36.88,6.02-40.41,22.16
+			c-3.05,13.98,5.84,28.03,20.48,34.08c-4.53,9.44-8.15,19.82-10.57,30.92c-9.67,44.29,61.63,62.8,75.18,65.62
+			c36.65,7.61,73.44-18.64,82.18-58.65C266.18,117.61,249.32,90.36,217.65,72.93z"/>
+
+			<ellipse transform="matrix(0.2083 -0.9781 0.9781 0.2083 -29.9131 291.2882)" class="st2" cx="164.97" cy="164.12" rx="99.54" ry="66.55"/>
+		<path d="M217.17,84.19c-10.52,1.7-19.17,5.96-24.51,12.87c-15.08,19.49-3.03,66.94,36.76,76.42c2.48,0.59,5.28-0.07,7.51,1.08
+			C244.75,138.29,236.37,104.24,217.17,84.19z"/>
+		<path d="M109.1,119.18c14.89,8.38,35.33,13.56,57.89,13.56c37.95,0,69.89-14.64,79.48-34.56c-9.86-20.08-25.85-34.28-46.09-38.24
+			C165.78,53.17,129.29,78.36,109.1,119.18z"/>
+
+			<ellipse transform="matrix(0.2439 -0.9698 0.9698 0.2439 -10.1893 370.8424)" class="st2" cx="232.73" cy="191.96" rx="27.95" ry="27.95"/>
+		<g>
+			<path d="M150.88,75.3c-0.78,0-1.54-0.43-1.91-1.18c-5.2-10.36-14.39-15.92-27.32-16.52c-9.92-0.46-18.43,2.3-18.51,2.33
+				c-1.12,0.37-2.33-0.24-2.7-1.36c-0.37-1.12,0.24-2.33,1.35-2.7c0.37-0.12,36.87-11.86,51,16.33c0.53,1.05,0.1,2.34-0.95,2.87
+				C151.53,75.22,151.2,75.3,150.88,75.3z"/>
+		</g>
+		<path d="M102.06,172.16c0.7,4.26,3.47,7.35,6.18,6.9c2.71-0.45,4.34-4.26,3.63-8.52c-0.7-4.26-3.47-7.35-6.18-6.9
+			C102.98,164.09,101.35,167.9,102.06,172.16z"/>
+		<g>
+			<path d="M95.12,157.84c-0.82,0-1.61-0.48-1.96-1.28c-0.47-1.08,0.02-2.34,1.1-2.81c8.92-3.91,18.39-2.38,18.79-2.31
+				c1.16,0.2,1.95,1.29,1.75,2.46c-0.19,1.16-1.32,1.95-2.46,1.76c-0.09-0.01-8.65-1.37-16.37,2.01
+				C95.7,157.79,95.41,157.84,95.12,157.84z"/>
+		</g>
+		<path d="M143.51,173.34c0.7,4.26,3.47,7.35,6.18,6.9c2.71-0.45,4.34-4.26,3.63-8.52c-0.7-4.26-3.47-7.35-6.18-6.9
+			C144.43,165.27,142.8,169.08,143.51,173.34z"/>
+		<g>
+			<path d="M165.56,163.62c-0.52,0-1.05-0.19-1.46-0.57c-0.11-0.1-11.32-10.41-23.48-7.05c-1.12,0.32-2.31-0.35-2.63-1.49
+				c-0.32-1.14,0.35-2.31,1.49-2.63c14.49-4,27.01,7.56,27.54,8.05c0.86,0.81,0.9,2.16,0.1,3.02
+				C166.7,163.39,166.13,163.62,165.56,163.62z"/>
+		</g>
+		<g>
+			<path d="M126.39,198.59c-0.92,0-9.09-0.12-12.09-4.4c-0.86-1.23-1.66-3.31-0.58-6.28c2.21-6.08,6.27-25.79,6.31-25.99
+				c0.24-1.15,1.36-1.9,2.52-1.66c1.16,0.24,1.9,1.37,1.66,2.52c-0.17,0.82-4.16,20.22-6.48,26.59c-0.49,1.34-0.2,1.99,0.06,2.37
+				c1.36,1.94,6.37,2.58,8.59,2.58c1.18,0,2.13,0.96,2.13,2.14C128.52,197.64,127.57,198.59,126.39,198.59z"/>
+		</g>
+		<g>
+			<path d="M129.05,220.44c-3.16,0-5.26-0.58-5.33-0.6c-1.13-0.33-1.78-1.51-1.45-2.65c0.33-1.13,1.51-1.78,2.64-1.46
+				c0.78,0.22,18.49,4.91,26.69-19.25c0.38-1.12,1.59-1.72,2.71-1.34c1.12,0.38,1.72,1.59,1.34,2.71
+				C149.01,217.42,136.27,220.44,129.05,220.44z"/>
+		</g>
+		<g>
+			<path d="M220.74,187.89c-0.43,0-0.87-0.13-1.25-0.41c-0.95-0.69-1.17-2.02-0.48-2.98c0.33-0.46,8.18-11.17,20.68-9.21
+				c1.16,0.18,1.96,1.28,1.78,2.44c-0.18,1.17-1.29,1.96-2.44,1.78c-9.85-1.54-16.49,7.4-16.56,7.49
+				C222.06,187.58,221.4,187.89,220.74,187.89z"/>
+		</g>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-13.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-13.svg
new file mode 100644
index 00000000000..9ab2fd5023c
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-13.svg	
@@ -0,0 +1,77 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F5F5F5;}
+	.st1{fill:#E8EDC5;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#85BAC6;}
+	.st4{fill:#F6E1DC;}
+	.st5{fill:#080717;}
+	.st6{fill:none;stroke:#080717;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st7{fill:#F2ECDE;}
+	.st8{fill:#C7E1E0;}
+	.st9{fill:#FCDEDE;}
+	.st10{fill:#EFCBBF;}
+	.st11{fill:#CEE1E7;}
+	.st12{fill:#FDEDE0;}
+	.st13{fill:#B9D2D7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#DDD6CC;}
+	.st17{fill:#F3F3F3;}
+	.st18{fill:#E0D5C1;}
+	.st19{fill:none;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st20{fill:#E0E0E0;}
+	.st21{fill:#DBDDC0;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4659 172.5338)" class="st11" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<path class="st2" d="M225.81,257.52H40.84v26.42c31.65,37.37,78.89,61.12,131.69,61.12c39.79,0,76.4-13.5,105.59-36.13
+			C277.63,280.46,254.41,257.52,225.81,257.52z"/>
+		<path class="st3" d="M220.18,257.52v80.83c21.28-6.12,40.89-16.19,57.95-29.42c-0.49-28.48-23.72-51.41-52.31-51.41H220.18z"/>
+		<path class="st3" d="M141.31,257.52H40.84v26.42c25.26,29.82,60.45,50.96,100.47,58.28V257.52z"/>
+		<rect x="146.4" y="186.3" class="st2" width="73.54" height="106.55"/>
+		<polygon points="164.03,214.64 219.94,270.56 219.94,186.3 		"/>
+		<path class="st2" d="M250.46,126.94l7.67,64.2c3.1,25.98-17.19,48.84-43.35,48.84h-70.6l32.9-113.88L250.46,126.94z"/>
+		<path d="M192.23,82.09l-31.33,4.92c-33.07,5.19-58.98,31.2-64.04,64.29v0c-2.59,16.91-13.51,31.39-29.07,38.52
+			c-9.7,4.45-16.47,13.53-17.95,24.1l0,0c-2.53,18.02-12.19,34.16-26.67,44.94c9.45,16.32,21.49,30.94,35.57,43.31
+			c15.81-10.43,33.57-17.55,52.21-20.92c30.4-5.5,53.83-29.89,58.1-60.48l3.8-27.18l-4.22-27.84c0,0,8.44,26.15,16.03,24.46
+			c7.59-1.69,5.06-50.61,5.06-50.61l70.02-8.44v0C254.61,98.99,224.41,77.04,192.23,82.09z"/>
+		<ellipse transform="matrix(0.6249 -0.7807 0.7807 0.6249 -7.44 142.8057)" cx="144.9" cy="79.15" rx="35.85" ry="35.85"/>
+		<path class="st2" d="M168.81,168.66c-1.67,0.04-3.37,0.3-5.05,0.83c-9.44,2.99-14.66,13.07-11.67,22.5
+			c2.99,9.44,13.07,14.66,22.5,11.67c1.68-0.53,3.21-1.3,4.6-2.23L168.81,168.66z"/>
+		<path d="M218.87,174.81c0.74,3.39,3.09,5.76,5.25,5.29c2.16-0.47,3.31-3.61,2.57-7c-0.74-3.39-3.09-5.76-5.25-5.29
+			C219.28,168.28,218.13,171.41,218.87,174.81z"/>
+		<g>
+			<path d="M208.95,163.26c-0.51,0-1.02-0.18-1.43-0.55c-0.88-0.79-0.95-2.14-0.15-3.02c7.08-7.85,18.39-5.99,18.87-5.91
+				c1.16,0.2,1.94,1.31,1.74,2.47c-0.2,1.16-1.29,1.95-2.47,1.74c-0.19-0.03-9.52-1.48-14.97,4.56
+				C210.12,163.02,209.53,163.26,208.95,163.26z"/>
+		</g>
+		<path d="M246.64,170.34c0.54,3.43,2.75,5.93,4.94,5.59c2.18-0.35,3.51-3.41,2.97-6.84c-0.54-3.43-2.75-5.93-4.94-5.59
+			C247.43,163.84,246.1,166.9,246.64,170.34z"/>
+		<g>
+			<path d="M246.83,155.84c-0.58,0-1.15-0.23-1.58-0.69c-0.8-0.87-0.74-2.22,0.13-3.02c4.35-3.99,9.2-2.57,11.16-1.27
+				c0.98,0.65,1.25,1.98,0.59,2.96c-0.65,0.98-1.96,1.24-2.95,0.6c-0.32-0.2-3.04-1.78-5.92,0.85
+				C247.86,155.65,247.34,155.84,246.83,155.84z"/>
+		</g>
+		<g>
+			<path d="M242.92,198.12c-1.15,0-2.1-0.91-2.13-2.07c-0.04-1.18,0.89-2.16,2.07-2.2c1.97-0.07,5.02-0.78,5.61-1.95
+				c0.29-0.56-0.05-1.61-0.91-2.88c-5.55-8.14-7.72-24.05-7.81-24.73c-0.16-1.17,0.67-2.24,1.84-2.4c1.16-0.15,2.24,0.67,2.4,1.84
+				c0.02,0.16,2.13,15.58,7.11,22.88c1.85,2.72,2.25,5.15,1.19,7.23c-1.97,3.86-8.08,4.24-9.29,4.28
+				C242.96,198.12,242.94,198.12,242.92,198.12z"/>
+		</g>
+		<g>
+			<path d="M231.6,224.28c-1.04,0-2.07-0.17-3.08-0.55c-4.81-1.82-7.38-7.69-7.87-17.93c-0.04-0.75,0.33-1.47,0.95-1.88
+				c0.63-0.42,1.43-0.47,2.1-0.15l20.84,9.95c0.62,0.3,1.06,0.88,1.18,1.55c0.12,0.68-0.09,1.37-0.57,1.87
+				C244.35,217.96,237.97,224.28,231.6,224.28z M225.21,209.22c0.7,5.89,2.37,9.58,4.82,10.51c2.88,1.09,7.02-1.39,9.77-3.55
+				L225.21,209.22z"/>
+		</g>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-14.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-14.svg
new file mode 100644
index 00000000000..99453cead9c
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-14.svg	
@@ -0,0 +1,99 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F5F5F5;}
+	.st1{fill:#E8EDC5;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#85BAC6;}
+	.st4{fill:#F6E1DC;}
+	.st5{fill:#080717;}
+	.st6{fill:none;stroke:#080717;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st7{fill:#F2ECDE;}
+	.st8{fill:#C7E1E0;}
+	.st9{fill:#FCDEDE;}
+	.st10{fill:#EFCBBF;}
+	.st11{fill:#CEE1E7;}
+	.st12{fill:#FDEDE0;}
+	.st13{fill:#B9D2D7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#DDD6CC;}
+	.st17{fill:#F3F3F3;}
+	.st18{fill:#E0D5C1;}
+	.st19{fill:none;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st20{fill:#E0E0E0;}
+	.st21{fill:#DBDDC0;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4659 172.5338)" class="st14" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<path class="st3" d="M267.62,311.36c-8.01-29.91-35.11-50.72-66.08-50.72H85.78c-18,0-35.2,7.11-47.95,19.64
+			c31.62,39.48,80.19,64.78,134.7,64.78c35.65,0,68.76-10.81,96.26-29.33L267.62,311.36z"/>
+		<path class="st2" d="M166.23,307.73l-24.46-9.66c-14-5.53-23.2-19.06-23.2-34.11v-76.27h81.95v96.72
+			C200.52,302.1,182.69,314.23,166.23,307.73z"/>
+		<polygon points="138.21,219.44 200.52,282.09 200.52,187.69 		"/>
+		<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 1.2587 181.6278)" cx="219.87" cy="89.29" rx="30.97" ry="36.68"/>
+		<path class="st2" d="M94.89,149.8l41.69-80.06l74.66,18.84c14.5,3.66,24.52,16.9,24.1,31.85l-2.13,76.11
+			c-0.53,18.81-15.93,33.79-34.75,33.79h-29.91c-21.01,0-40.19-11.98-49.41-30.86L94.89,149.8z"/>
+		<path d="M89.2,162.11l15.63,53.53h14.21c0,0-3.79-34.58-10.42-45C101.99,160.22,89.2,162.11,89.2,162.11z"/>
+		<path d="M181.22,66.27c-12.3-3.35-23.35-8.09-32.35-13.54c-1.03,1.85-1.86,3.84-2.43,5.94c-4.5,16.5,7.7,34.2,27.25,39.52
+			c19.54,5.32,39.03-3.74,43.53-20.24c0.63-2.32,0.9-4.66,0.9-7C207.07,71.34,194.36,69.85,181.22,66.27z"/>
+		<path d="M162.38,155.22c-0.3,4.26,2.01,7.89,5.16,8.12c3.15,0.22,5.95-3.05,6.25-7.31c0.3-4.26-2.01-7.89-5.16-8.12
+			C165.48,147.69,162.68,150.96,162.38,155.22z"/>
+		<g>
+			<path d="M159.92,126.55c-0.51,0-1.02-0.18-1.43-0.55c-0.88-0.79-0.95-2.14-0.15-3.02c7.08-7.85,18.39-5.99,18.87-5.91
+				c1.16,0.2,1.94,1.31,1.74,2.47c-0.2,1.16-1.3,1.95-2.46,1.74l0,0c-0.09-0.01-9.49-1.51-14.98,4.56
+				C161.09,126.31,160.5,126.55,159.92,126.55z"/>
+		</g>
+		<path d="M217.08,152.71c-0.3,4.26,2.01,7.89,5.16,8.12c3.15,0.22,5.95-3.05,6.25-7.31c0.3-4.26-2.01-7.89-5.16-8.12
+			C220.18,145.18,217.38,148.45,217.08,152.71z"/>
+		<g>
+			<path d="M226.1,126.35c-0.67,0-1.33-0.32-1.75-0.91c-0.3-0.4-2.95-3.66-9,0.07c-1.01,0.62-2.32,0.31-2.94-0.7
+				c-0.62-1-0.31-2.32,0.69-2.94c7.78-4.8,13.05-1.36,14.76,1.13c0.67,0.97,0.42,2.3-0.56,2.97
+				C226.94,126.23,226.52,126.35,226.1,126.35z"/>
+		</g>
+		<g>
+			<path d="M206.21,185.09c-0.59,0-1.19-0.25-1.61-0.73c-0.78-0.89-0.69-2.24,0.2-3.02l2.1-1.84c4.34-3.8,4.94-10.32,1.36-14.84
+				l-8.46-10.71c-0.73-0.93-0.58-2.27,0.35-3c0.93-0.73,2.27-0.57,3,0.35l8.46,10.71c4.99,6.31,4.16,15.41-1.9,20.71l-2.1,1.84
+				C207.21,184.92,206.71,185.09,206.21,185.09z"/>
+		</g>
+		<g>
+			<path d="M187.66,202.88c-5.81,0-10.66-2.75-10.94-2.92c-1.02-0.59-1.37-1.9-0.78-2.92c0.59-1.02,1.89-1.37,2.92-0.78l0,0
+				c0.08,0.05,8.07,4.53,14.46,0.94c1.03-0.58,2.33-0.21,2.91,0.82c0.58,1.03,0.21,2.33-0.81,2.91
+				C192.84,202.37,190.16,202.88,187.66,202.88z"/>
+		</g>
+		<g>
+			<path d="M161.68,181.68c-4.2,0-8.12-0.29-11.72-0.87c-11.29-1.83-17.92-16.57-21.5-28.61c-1.25-4.22-0.46-8.66,2.18-12.2
+				c2.65-3.56,6.72-5.6,11.16-5.6h104.23c3.08,0,5.96,1.22,8.11,3.42c2.15,2.21,3.29,5.12,3.21,8.2l-0.24,9.43
+				c-0.3,11.7-9.37,25.62-20.61,26.03l-12.72,0c-4.74,0-9.38-1.94-12.71-5.31c-0.83-0.84-0.82-2.19,0.02-3.02
+				c0.84-0.83,2.19-0.82,3.02,0.02c2.54,2.57,6.06,4.04,9.67,4.04h12.65c8.51-0.31,16.17-12.29,16.42-21.87l0.24-9.43
+				c0.05-1.92-0.66-3.73-2-5.11c-1.34-1.37-3.13-2.13-5.05-2.13h-50.71l-2.94,20.31c-1.77,12.25-12.06,21.71-24.46,22.49
+				C165.8,181.61,163.71,181.68,161.68,181.68z M141.81,138.67c-3.07,0-5.89,1.41-7.73,3.88c-1.82,2.44-2.37,5.51-1.51,8.43
+				c4.56,15.36,10.98,24.46,18.08,25.61c5.01,0.81,10.74,1.02,17.02,0.62c10.4-0.66,19.02-8.58,20.5-18.84l2.84-19.7H141.81z"/>
+		</g>
+		<g>
+			<path d="M208.1,162.35c-1.12,0-2.06-0.87-2.13-2.01l-1.42-23.68c-0.07-1.18,0.83-2.19,2.01-2.26c1.18-0.09,2.19,0.83,2.26,2
+				l1.42,23.68c0.07,1.18-0.83,2.19-2.01,2.26C208.18,162.35,208.14,162.35,208.1,162.35z"/>
+		</g>
+		<ellipse cx="99.62" cy="116.21" rx="24.64" ry="38.41"/>
+		<path d="M144.44,103.39c-12.1,12.1-29.7,14.1-39.32,4.48c-9.62-9.62-7.61-27.23,4.48-39.32c12.1-12.1,29.7-14.1,39.32-4.48
+			C158.54,73.69,156.53,91.29,144.44,103.39z"/>
+		<path class="st2" d="M103.92,142.96c-2.21,0.05-4.46,0.39-6.67,1.09c-12.47,3.95-19.38,17.27-15.43,29.74
+			c3.95,12.47,17.27,19.38,29.74,15.43c2.22-0.7,4.25-1.71,6.08-2.95L103.92,142.96z"/>
+		<path d="M98.67,90.58c0,0-3.32-42.16,32.69-45c36-2.84,85.95,6.9,93.79-0.95c0.95-0.95-6.16,39.32-26.05,40.27
+			C179.2,85.85,119.04,72.58,98.67,90.58z"/>
+		<path d="M113.83,137.95l7.23,31.03c0.48,2.07-0.55,4.19-2.47,5.1l0,0c-2.5,1.18-5.46-0.15-6.24-2.81l-10.36-35.22L113.83,137.95z"
+			/>
+		<g>
+			<path d="M106.11,173.78c-0.98,0-1.87-0.68-2.09-1.68l0,0c-0.02-0.09-2.15-9.37-9.83-12.18c-1.11-0.4-1.68-1.63-1.27-2.74
+				c0.41-1.11,1.63-1.68,2.74-1.27c9.93,3.63,12.44,14.82,12.54,15.29c0.25,1.15-0.49,2.29-1.64,2.54
+				C106.41,173.77,106.26,173.78,106.11,173.78z"/>
+		</g>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-15.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-15.svg
new file mode 100644
index 00000000000..7e65d9d2a02
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-15.svg	
@@ -0,0 +1,81 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F5F5F5;}
+	.st1{fill:#E8EDC5;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#85BAC6;}
+	.st4{fill:#F6E1DC;}
+	.st5{fill:#080717;}
+	.st6{fill:none;stroke:#080717;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st7{fill:#F2ECDE;}
+	.st8{fill:#C7E1E0;}
+	.st9{fill:#FCDEDE;}
+	.st10{fill:#EFCBBF;}
+	.st11{fill:#CEE1E7;}
+	.st12{fill:#FDEDE0;}
+	.st13{fill:#B9D2D7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#DDD6CC;}
+	.st17{fill:#F3F3F3;}
+	.st18{fill:#E0D5C1;}
+	.st19{fill:none;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st20{fill:#E0E0E0;}
+	.st21{fill:#DBDDC0;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4659 172.5338)" class="st15" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<path d="M184.74,51.27c-56.59,0-102.47,45.88-102.47,102.47c0,1.85-1.33,35.93-54.56,34.6c-9.22-0.23-18.16,0.85-26.66,3.04
+			c9.19,84.55,79.45,150.72,165.75,153.54c30.61-17.72,51.21-50.8,51.21-88.71c0-1.85-0.05-3.68-0.15-5.5
+			c40.33-13.77,69.35-51.97,69.35-96.97C287.21,97.14,241.33,51.27,184.74,51.27z"/>
+		<path class="st3" d="M172.53,345.07c46.71,0,89.06-18.6,120.13-48.75l-27.3-36.04c-20.33-26.84-53.93-40.11-87.12-34.4
+			L19.97,253.1C48.91,307.79,106.35,345.07,172.53,345.07z"/>
+		<path class="st2" d="M124.48,260.2L124.48,260.2c-5.45-2.63-7.74-9.18-5.11-14.63l41.53-86.1l50.08,24.16l-26.9,55.76
+			C173.37,261.59,146.68,270.91,124.48,260.2z"/>
+		<path class="st2" d="M199.61,202.98h-12.63c-35.19,0-63.98-28.79-63.98-63.98v-13.21c0-24.38,19.95-44.33,44.33-44.33h26.77
+			c31.44,0,57.17,25.73,57.17,57.17v12.68C251.28,179.73,228.03,202.98,199.61,202.98z"/>
+		<g>
+			<path d="M225.64,207.25h-35c-7.32,0-14.54-1.14-21.46-3.4c-1.12-0.37-1.74-1.57-1.37-2.69c0.37-1.12,1.58-1.74,2.69-1.37
+				c6.5,2.11,13.27,3.19,20.14,3.19h35c1.18,0,2.14,0.96,2.14,2.14C227.77,206.29,226.82,207.25,225.64,207.25z"/>
+		</g>
+		<path d="M171.71,52.12c-49.23,6.25-87.54,47.41-89.35,97.89c11.1,7.37,24.6,11.71,39.16,11.71c37.85,0,68.54-29.2,68.54-65.21
+			C190.06,79.36,183.09,63.76,171.71,52.12z"/>
+
+			<ellipse transform="matrix(0.918 -0.3965 0.3965 0.918 -58.847 64.0589)" class="st2" cx="125.52" cy="174.36" rx="25.95" ry="25.95"/>
+		<g>
+			<path d="M135.62,175.81c-0.99,0-1.87-0.68-2.09-1.68c-0.03-0.15-2.1-9.08-9.51-11.79c-1.11-0.4-1.68-1.63-1.27-2.74
+				c0.4-1.11,1.63-1.68,2.74-1.27c9.67,3.54,12.12,14.43,12.22,14.9c0.25,1.15-0.49,2.29-1.64,2.54
+				C135.92,175.79,135.77,175.81,135.62,175.81z"/>
+		</g>
+		<path d="M194.22,141.65c0.74,3.39,3.09,5.76,5.25,5.29c2.16-0.47,3.31-3.61,2.57-7c-0.74-3.39-3.09-5.76-5.25-5.29
+			C194.63,135.12,193.48,138.26,194.22,141.65z"/>
+		<path d="M232.14,139.28c0.74,3.39,3.09,5.76,5.25,5.29c2.16-0.47,3.31-3.61,2.57-7c-0.74-3.39-3.09-5.76-5.25-5.29
+			C232.55,132.75,231.4,135.89,232.14,139.28z"/>
+		<g>
+			<path d="M184.3,130.1c-0.51,0-1.02-0.18-1.43-0.55c-0.88-0.79-0.95-2.14-0.15-3.02c7.08-7.85,18.4-5.99,18.87-5.91
+				c1.16,0.2,1.94,1.31,1.74,2.47c-0.2,1.16-1.28,1.95-2.47,1.74c-0.19-0.03-9.52-1.48-14.97,4.56
+				C185.46,129.86,184.88,130.1,184.3,130.1z"/>
+		</g>
+		<g>
+			<path d="M215.42,183.56c-0.89,0-1.78-0.1-2.66-0.32c-5.48-1.38-9.35-6.94-11.5-16.52c-0.16-0.71,0.05-1.45,0.57-1.97
+				c0.51-0.52,1.26-0.74,1.96-0.59l27.87,5.9c0.74,0.16,1.34,0.69,1.58,1.41c0.24,0.72,0.09,1.51-0.41,2.08
+				C232.43,173.99,224.06,183.56,215.42,183.56z M206.28,169.05c1.4,4.55,3.71,9.08,7.51,10.04c4.34,1.09,9.7-2.58,13.13-5.67
+				L206.28,169.05z"/>
+		</g>
+		<g>
+			<path d="M230.43,153.95c-0.29,0-0.58-0.06-0.86-0.18c-8.49-3.73-12.03-14.45-7.89-23.9c4.15-9.45,14.44-14.1,22.93-10.38
+				c1.08,0.47,1.57,1.74,1.1,2.82c-0.48,1.08-1.73,1.57-2.81,1.1c-6.34-2.78-14.1,0.89-17.3,8.18c-3.2,7.29-0.65,15.49,5.69,18.27
+				c1.08,0.47,1.57,1.73,1.1,2.82C232.04,153.47,231.25,153.95,230.43,153.95z"/>
+		</g>
+		<path class="st2" d="M199.57,234.33c0-3.34-0.66-6.58-1.89-9.68c-5.24-0.22-10.54,0.1-15.84,1.01L78.78,243.38
+			c6.4,17.23,30.63,30.06,59.56,30.06C172.16,273.44,199.57,255.93,199.57,234.33z"/>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-16.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-16.svg
new file mode 100644
index 00000000000..add07c2fa08
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-16.svg	
@@ -0,0 +1,91 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F5F5F5;}
+	.st1{fill:#E8EDC5;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#85BAC6;}
+	.st4{fill:#F6E1DC;}
+	.st5{fill:#080717;}
+	.st6{fill:none;stroke:#080717;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st7{fill:#F2ECDE;}
+	.st8{fill:#C7E1E0;}
+	.st9{fill:#FCDEDE;}
+	.st10{fill:#EFCBBF;}
+	.st11{fill:#CEE1E7;}
+	.st12{fill:#FDEDE0;}
+	.st13{fill:#B9D2D7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#DDD6CC;}
+	.st17{fill:#F3F3F3;}
+	.st18{fill:#E0D5C1;}
+	.st19{fill:none;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st20{fill:#E0E0E0;}
+	.st21{fill:#DBDDC0;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4659 172.5338)" class="st16" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<path d="M271.87,248.58c-15.54-14-36.38-20.59-57.14-18.07L69.06,248.25c-15.47,1.88-29.66,8.68-40.7,19.02
+			c30.85,46.85,83.89,77.79,144.17,77.79c54.47,0,103-25.26,134.62-64.68L271.87,248.58z"/>
+		<path class="st2" d="M141.25,282.4c34.46,0,62.4-16.83,62.4-37.6c0-4.39-1.26-8.6-3.55-12.51L78.97,247.04
+			C80.89,266.77,108.04,282.4,141.25,282.4z"/>
+		<path d="M186.47,205.72h-31.75c-36.5,0-66.36-29.86-66.36-66.36v-12.58c0-45.7,37.39-83.09,83.09-83.09l3.48,12.58
+			c28.65,0,52.08,23.44,52.08,52.08v56.82C227.01,187.47,208.77,205.72,186.47,205.72z"/>
+		<ellipse transform="matrix(0.6782 -0.7349 0.7349 0.6782 0.28 202.2165)" cx="231.02" cy="100.79" rx="33.32" ry="33.32"/>
+		<path class="st2" d="M146.82,276.2l-38.81-18.72c-2.55-1.23-3.62-4.3-2.39-6.85l55.31-114.67l62.24,30.02l-48.46,100.47
+			C169.7,276.86,157.21,281.22,146.82,276.2z"/>
+		<polygon points="148.89,214.22 188.98,236.87 220.79,170.94 208.99,159.15 181.02,145.66 		"/>
+		<path class="st2" d="M188.98,221.2h-0.75c-42.64,0-77.54-34.89-77.54-77.54v-0.53c0-31.84,26.05-57.89,57.89-57.89h14.89
+			c38.9,0,70.73,31.83,70.73,70.73v0C254.2,191.85,224.85,221.2,188.98,221.2z"/>
+		<path d="M158.19,54.01c-36.04,4.58-64.08,34.71-65.41,71.66c8.13,5.4,18.01,8.57,28.67,8.57c27.71,0,50.17-21.37,50.17-47.74
+			C171.63,73.95,166.52,62.54,158.19,54.01z"/>
+		<path d="M105.88,93.26c-19.03,30.94-13.14,71.68,14.82,95.89c9.3-2.95,17.97-8.65,24.65-16.96c17.37-21.59,14.81-52.49-5.73-69.02
+			C129.83,95.3,117.74,92.12,105.88,93.26z"/>
+
+			<ellipse transform="matrix(0.8627 -0.5058 0.5058 0.8627 -73.6971 88.6917)" class="st2" cx="126.46" cy="180.05" rx="25.95" ry="25.95"/>
+		<g>
+			<path d="M136.56,181.49c-0.98,0-1.87-0.68-2.09-1.68l0,0c-0.02-0.09-2.08-9.07-9.51-11.79c-1.11-0.4-1.68-1.63-1.27-2.74
+				c0.4-1.11,1.64-1.68,2.74-1.27c9.67,3.54,12.12,14.44,12.22,14.9c0.25,1.15-0.49,2.29-1.64,2.54
+				C136.87,181.48,136.71,181.49,136.56,181.49z"/>
+		</g>
+		<path d="M195.17,147.33c0.74,3.39,3.09,5.76,5.25,5.29c2.16-0.47,3.31-3.61,2.57-7c-0.74-3.39-3.09-5.76-5.25-5.29
+			C195.58,140.81,194.43,143.94,195.17,147.33z"/>
+		<path d="M233.09,144.97c0.74,3.39,3.09,5.76,5.25,5.29c2.16-0.47,3.31-3.61,2.57-7c-0.74-3.39-3.09-5.76-5.25-5.29
+			C233.49,138.44,232.34,141.57,233.09,144.97z"/>
+		<g>
+			<path d="M185.24,135.78c-0.51,0-1.02-0.18-1.43-0.55c-0.88-0.79-0.95-2.14-0.15-3.02c7.08-7.85,18.39-5.99,18.87-5.91
+				c1.16,0.2,1.94,1.31,1.74,2.47c-0.2,1.16-1.28,1.94-2.47,1.74l0,0c-0.09-0.01-9.49-1.52-14.98,4.56
+				C186.41,135.55,185.83,135.78,185.24,135.78z"/>
+		</g>
+		<g>
+			<path d="M216.38,189.25c-0.29,0-0.58-0.01-0.88-0.03c-3.78-0.29-6.93-2.41-9.35-6.29c-0.62-1-0.32-2.32,0.68-2.94
+				c1.01-0.62,2.32-0.32,2.94,0.68c1.68,2.7,3.66,4.1,6.05,4.29c5.59,0.42,12.53-6,14.7-8.52c0.78-0.89,2.12-0.99,3.02-0.22
+				c0.89,0.77,0.99,2.12,0.22,3.01C233.41,179.65,225.01,189.25,216.38,189.25z"/>
+		</g>
+		<g>
+			<path d="M231.38,159.64c-0.29,0-0.58-0.06-0.86-0.18c-8.49-3.73-12.03-14.45-7.88-23.9c4.15-9.45,14.43-14.1,22.93-10.38
+				c1.08,0.47,1.57,1.73,1.1,2.81c-0.48,1.08-1.74,1.57-2.82,1.1c-6.33-2.78-14.09,0.89-17.29,8.18c-3.2,7.29-0.65,15.49,5.69,18.27
+				c1.08,0.47,1.57,1.73,1.1,2.81C232.98,159.16,232.2,159.64,231.38,159.64z"/>
+		</g>
+		<ellipse transform="matrix(0.7416 -0.6709 0.6709 0.7416 -6.8954 136.1424)" cx="173.26" cy="77.02" rx="33.32" ry="33.32"/>
+		<ellipse transform="matrix(0.4881 -0.8728 0.8728 0.4881 39.4099 224.5726)" cx="211.16" cy="78.69" rx="34.27" ry="34.27"/>
+		<g>
+			<path d="M121.98,80.22c-0.93,0-1.79-0.62-2.06-1.56c-2.55-9.13-13.48-11.42-13.59-11.44c-1.16-0.23-1.91-1.36-1.68-2.51
+				c0.23-1.16,1.34-1.91,2.51-1.68c0.55,0.11,13.63,2.85,16.87,14.48c0.32,1.14-0.35,2.31-1.48,2.63
+				C122.37,80.19,122.17,80.22,121.98,80.22z"/>
+		</g>
+		<g>
+			<path d="M123.33,79.4c-0.39,0-0.79-0.11-1.15-0.34c-10.17-6.51-8.95-19.82-8.9-20.38c0.12-1.17,1.17-2.03,2.34-1.91
+				c1.17,0.12,2.03,1.16,1.91,2.34l0,0c-0.01,0.11-0.99,11.27,6.95,16.36c0.99,0.64,1.28,1.96,0.65,2.95
+				C124.73,79.06,124.03,79.4,123.33,79.4z"/>
+		</g>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-17.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-17.svg
new file mode 100644
index 00000000000..d069c007fa1
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-17.svg	
@@ -0,0 +1,100 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F5F5F5;}
+	.st1{fill:#E8EDC5;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#85BAC6;}
+	.st4{fill:#F6E1DC;}
+	.st5{fill:#080717;}
+	.st6{fill:none;stroke:#080717;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st7{fill:#F2ECDE;}
+	.st8{fill:#C7E1E0;}
+	.st9{fill:#FCDEDE;}
+	.st10{fill:#EFCBBF;}
+	.st11{fill:#CEE1E7;}
+	.st12{fill:#FDEDE0;}
+	.st13{fill:#B9D2D7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#DDD6CC;}
+	.st17{fill:#F3F3F3;}
+	.st18{fill:#E0D5C1;}
+	.st19{fill:none;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st20{fill:#E0E0E0;}
+	.st21{fill:#DBDDC0;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4659 172.5338)" class="st4" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<path d="M222.79,32.32c-47.4-10.12-86.01,8.61-106.11,30.32c-37.97,41.01-37.44,77.83-69.44,118
+			c-14.07,17.66-28.35,30.07-40.75,38.71c20.41,72.53,87,125.72,166.05,125.72c31.9,0,61.76-8.69,87.4-23.79
+			c3.04-2.55,6.09-5.21,9.15-8.01c0,0-32.24-86.37-8.04-172.82c3.01-10.74,9.23-22.64,14.37-31.38c5.62-9.56,5.89-21.39,0.63-31.16
+			C267.14,61.37,255.91,39.39,222.79,32.32z"/>
+		<g>
+
+				<rect x="98.66" y="92.7" transform="matrix(0.866 0.5 -0.5 0.866 113.5499 -42.2564)" class="st2" width="73.94" height="196.11"/>
+			<path d="M118.62,296.3c-0.37,0-0.74-0.1-1.07-0.29l-64.03-36.97c-1.02-0.59-1.37-1.9-0.78-2.92l98.05-169.84
+				c0.59-1.02,1.9-1.37,2.92-0.78l64.04,36.97c0.49,0.28,0.85,0.75,1,1.3c0.15,0.55,0.07,1.13-0.21,1.62l-98.06,169.84
+				c-0.28,0.49-0.75,0.85-1.3,1C118.99,296.28,118.8,296.3,118.62,296.3z M57.5,256.41l60.33,34.83l95.92-166.14l-60.33-34.83
+				L57.5,256.41z"/>
+		</g>
+		<g>
+			<path class="st2" d="M246.52,69.75c-24.83-11.08-55.49,0.22-78.53,25.86c-4.17-6.88-11.33-11.43-19.48-11.43
+				c-12.87,0-23.31,11.34-23.31,25.32c0,12.39,8.2,22.69,19.03,24.87c-18.35,46.29-7.73,94.2,24.92,108.77
+				c33.9,15.13,78.7-11.42,100.07-59.3C290.58,135.96,280.42,84.88,246.52,69.75z"/>
+			<path d="M189.33,249.49c-7.26,0-14.37-1.42-21.06-4.41c-32.93-14.7-44.53-62.37-26.9-109.25c-10.74-3.37-18.31-14.05-18.31-26.34
+				c0-15.14,11.42-27.46,25.45-27.46c7.72,0,14.92,3.74,19.74,10.14c24.1-25.61,54.93-35.18,79.14-24.37
+				c34.92,15.58,45.59,68.03,23.77,116.91C253.53,224.22,219.99,249.49,189.33,249.49z M148.51,86.31
+				c-11.68,0-21.17,10.4-21.17,23.18c0,11.17,7.28,20.75,17.31,22.78c0.62,0.13,1.15,0.52,1.45,1.08c0.3,0.56,0.34,1.22,0.11,1.81
+				c-18.02,45.46-7.56,92.03,23.8,106.03c6.17,2.75,12.72,4.06,19.43,4.06c28.95,0,60.88-24.35,77.81-62.28
+				c20.85-46.73,11.16-96.64-21.61-111.26c-23.12-10.32-52.97-0.38-76.07,25.33c-0.45,0.5-1.12,0.76-1.79,0.7
+				c-0.67-0.06-1.28-0.44-1.63-1.02C162.22,90.2,155.62,86.31,148.51,86.31z"/>
+		</g>
+		<path class="st3" d="M23.59,259.58c29.95,51.13,85.42,85.48,148.94,85.48c24.68,0,48.14-5.22,69.37-14.56
+			c-4.9-20.32-24-81.15-82.94-116.91C111.04,184.52,58.38,223.36,23.59,259.58z"/>
+		<g>
+			<path d="M156.01,114.93c-0.98,0-1.87-0.68-2.09-1.68l0,0c-0.02-0.1-2.38-10.41-10.94-13.54c-1.11-0.4-1.68-1.63-1.27-2.74
+				c0.4-1.11,1.63-1.68,2.74-1.27c10.8,3.95,13.54,16.13,13.65,16.65c0.25,1.15-0.49,2.29-1.64,2.54
+				C156.31,114.91,156.16,114.93,156.01,114.93z"/>
+		</g>
+		<g>
+			<path d="M235.35,188.34c-2.17,0-4.3-0.67-6.09-1.95c-0.96-0.69-1.18-2.02-0.5-2.98c0.69-0.96,2.02-1.18,2.98-0.5
+				c1.44,1.03,3.19,1.39,4.93,1.01c1.73-0.38,3.17-1.44,4.05-2.98l8.29-14.5c0.58-1.02,1.89-1.38,2.92-0.8
+				c1.02,0.59,1.38,1.89,0.79,2.92l-8.29,14.5c-1.47,2.57-3.96,4.4-6.85,5.03C236.85,188.26,236.1,188.34,235.35,188.34z"/>
+		</g>
+		<g>
+			<path d="M231.31,163.48c-0.09,0-0.19-0.01-0.28-0.02c-1.16-0.15-1.98-1.21-1.85-2.36c0.01-0.11,0.1-1.46-1.06-2.47
+				c-1.12-0.98-4.23-2.34-12.41-0.43c-1.15,0.27-2.3-0.45-2.56-1.6c-0.27-1.15,0.45-2.3,1.6-2.57c7.75-1.8,13.23-1.31,16.29,1.47
+				c2.25,2.03,2.56,4.8,2.38,6.11C233.29,162.7,232.37,163.48,231.31,163.48z"/>
+		</g>
+		<g>
+			<path d="M265.47,182.77c-1.18,0-2.14-0.96-2.14-2.14c0-1.73-0.43-2.91-1.31-3.61c-1.48-1.18-4.12-0.92-4.92-0.74
+				c-1.15,0.26-2.3-0.46-2.56-1.61c-0.26-1.15,0.46-2.3,1.61-2.56c0.53-0.12,5.22-1.09,8.54,1.57c1.33,1.06,2.91,3.13,2.91,6.95
+				C267.61,181.82,266.65,182.77,265.47,182.77z"/>
+		</g>
+		<g>
+			<path d="M225.68,196.04c-0.43,0-0.86-0.13-1.24-0.39c-4.18-2.97-6.62-6.6-7.25-10.81c-1.06-6.99,3.39-12.89,3.58-13.13
+				c0.72-0.93,2.06-1.11,3-0.4c0.93,0.72,1.11,2.05,0.4,2.99l0,0c-0.04,0.05-3.54,4.75-2.74,9.93c0.46,3,2.31,5.67,5.5,7.93
+				c0.96,0.68,1.19,2.02,0.5,2.98C227.01,195.72,226.35,196.04,225.68,196.04z"/>
+		</g>
+		<path d="M167.36,98.16c0,0,30.53,16.92,60.16,12.79c37.42-5.21,36-15.87,43.58-11.37c14.5,8.61-2.84-33.16-27.47-38.84
+			C219,55.05,180.78,62.92,167.36,98.16z"/>
+		<g>
+			<path d="M221.36,123.51c-25.24,0-39.05-8.45-46.18-15.54c-7.87-7.82-9.6-15.67-9.67-16c-0.24-1.15,0.49-2.29,1.65-2.53
+				c1.17-0.24,2.29,0.49,2.53,1.65c0.27,1.2,6.72,28.15,51.68,28.15c19.01,0,29.49-9.88,37.15-17.09
+				c5.62-5.29,10.94-10.28,16.43-5.06c0.86,0.81,0.89,2.17,0.08,3.02c-0.81,0.85-2.16,0.89-3.02,0.08
+				c-2.26-2.15-4.17-0.93-10.56,5.08C253.73,112.53,242.06,123.51,221.36,123.51z"/>
+		</g>
+		<path d="M248.6,136.65c0,2.55-5.73,4.62-12.79,4.62c-7.06,0-12.79-2.07-12.79-4.62c0-2.55,5.73-4.62,12.79-4.62
+			C242.88,132.03,248.6,134.1,248.6,136.65z"/>
+		<path d="M285.11,158.72c-1.28,2.21-6.38,1.65-11.41-1.25c-5.03-2.9-8.07-7.04-6.79-9.25c1.28-2.21,6.38-1.65,11.41,1.25
+			C283.35,152.36,286.39,156.51,285.11,158.72z"/>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-18.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-18.svg
new file mode 100644
index 00000000000..8ca1898df52
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-18.svg	
@@ -0,0 +1,99 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F5F5F5;}
+	.st1{fill:#E8EDC5;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#85BAC6;}
+	.st4{fill:#F6E1DC;}
+	.st5{fill:#080717;}
+	.st6{fill:none;stroke:#080717;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st7{fill:#F2ECDE;}
+	.st8{fill:#C7E1E0;}
+	.st9{fill:#FCDEDE;}
+	.st10{fill:#EFCBBF;}
+	.st11{fill:#CEE1E7;}
+	.st12{fill:#FDEDE0;}
+	.st13{fill:#B9D2D7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#DDD6CC;}
+	.st17{fill:#F3F3F3;}
+	.st18{fill:#E0D5C1;}
+	.st19{fill:none;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st20{fill:#E0E0E0;}
+	.st21{fill:#DBDDC0;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4659 172.5338)" class="st7" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<ellipse transform="matrix(0.9741 -0.2259 0.2259 0.9741 -39.8151 21.7092)" cx="74.95" cy="184.82" rx="39.75" ry="39.75"/>
+		<ellipse transform="matrix(0.121 -0.9926 0.9926 0.121 -103.4659 286.3518)" cx="109.96" cy="201.6" rx="39.75" ry="39.75"/>
+		<ellipse transform="matrix(0.476 -0.8795 0.8795 0.476 -39.1556 295.1815)" cx="228.12" cy="180.45" rx="39.75" ry="39.75"/>
+		<ellipse transform="matrix(0.9966 -0.0819 0.0819 0.9966 -11.4468 21.4517)" cx="255.62" cy="150.18" rx="39.75" ry="39.75"/>
+
+			<rect x="130.75" y="158.98" transform="matrix(0.9882 -0.1531 0.1531 0.9882 -31.8459 29.8967)" class="st2" width="94.82" height="125.41"/>
+		<path d="M241.13,279.56L135.65,295.9c-3.23,0.5-6.24-1.71-6.74-4.93l-4.52-29.15c-0.5-3.23,1.71-6.24,4.93-6.74l105.48-16.35
+			c3.22-0.5,6.24,1.71,6.74,4.93l4.52,29.15C246.57,276.04,244.36,279.06,241.13,279.56z"/>
+		<path d="M266.99,266.27l-134.07,20.78c-22.62,3.51-42.75,13.19-58.95,27.05c27.95,19.5,61.91,30.97,98.58,30.97
+			c59.62,0,112.17-30.24,143.16-76.22C300.27,264.75,283.77,263.67,266.99,266.27z"/>
+		<path d="M156.4,212.17L156.4,212.17c-40.62,0-73.54-32.93-73.54-73.54v-23.36c0-40.62,32.93-73.54,73.54-73.54l0,0
+			c40.62,0,73.54,32.93,73.54,73.54v23.36C229.94,179.25,197.01,212.17,156.4,212.17z"/>
+		<path d="M174.4,170.46L174.4,170.46c-33.9,0-61.38-27.48-61.38-61.38V96.54c0-33.9,27.48-61.38,61.38-61.38l0,0
+			c33.9,0,61.38,27.48,61.38,61.38v12.55C235.78,142.99,208.3,170.46,174.4,170.46z"/>
+		<path class="st2" d="M167.94,212.17L167.94,212.17c-34.24,0-62-27.76-62-62v-19.69c0-34.24,27.76-62,62-62h0
+			c34.24,0,62,27.76,62,62v19.69C229.94,184.42,202.18,212.17,167.94,212.17z"/>
+		<path d="M102.81,126.21v0.11c28.45-7.42,49.44-33.28,49.44-64.05v-0.11C123.81,69.57,102.81,95.43,102.81,126.21z"/>
+		<g>
+			<path d="M131.62,120.01c-0.25,0-0.5-0.04-0.74-0.13c-0.62-0.23-1.1-0.73-1.3-1.36c-0.34-1.07,0.2-2.24,1.22-2.66
+				c15.6-9.97,22.6-29.21,17.04-46.92l4.06-1.34c6.21,19.75-1.67,41.14-19.14,52.08C132.41,119.9,132.01,120.01,131.62,120.01z"/>
+		</g>
+		<path d="M220.14,91.39l0.05,0.09c-28.21,8.29-59.52-3.07-75.37-29.45l-0.05-0.09C172.97,53.66,204.29,65.01,220.14,91.39z"/>
+		<g>
+			<path d="M167.94,214.31c-35.36,0-64.13-28.77-64.13-64.13c0-1.18,0.96-2.14,2.14-2.14s2.14,0.96,2.14,2.14
+				c0,33.01,26.85,59.86,59.86,59.86c13.74,0,27.16-4.77,37.79-13.43c0.92-0.74,2.26-0.61,3.01,0.31c0.74,0.91,0.61,2.26-0.31,3.01
+				C197.04,209.2,182.66,214.31,167.94,214.31z"/>
+		</g>
+		<path class="st2" d="M224.91,128.18l13.28-3.95c8.11-2.41,12.73-10.94,10.32-19.05l0,0c-2.41-8.11-10.94-12.73-19.05-10.32
+			l-13.28,3.95c-8.11,2.41-12.73,10.94-10.32,19.05l0,0C208.27,125.97,216.8,130.59,224.91,128.18z"/>
+		<g>
+			<path d="M228.48,118.04c-1.03,0-1.93-0.74-2.11-1.79c-1.68-10.07,6.49-15.1,6.84-15.31c1.01-0.61,2.32-0.28,2.93,0.73
+				c0.61,1.01,0.28,2.32-0.72,2.93c-0.27,0.17-6.02,3.81-4.83,10.95c0.19,1.16-0.59,2.26-1.76,2.46
+				C228.71,118.03,228.6,118.04,228.48,118.04z"/>
+		</g>
+		<path class="st2" d="M110.57,157.6l-13.86-0.25c-8.46-0.16-15.19-7.14-15.03-15.6l0,0c0.16-8.46,7.14-15.19,15.6-15.03l13.86,0.25
+			c8.46,0.16,15.19,7.14,15.03,15.6l0,0C126.01,151.02,119.03,157.75,110.57,157.6z"/>
+		<g>
+			<path d="M103.84,148.86c-1.08,0-2.01-0.81-2.12-1.91c-0.76-7.21-7.31-9.18-7.59-9.26c-1.13-0.33-1.79-1.5-1.47-2.64
+				c0.32-1.13,1.48-1.79,2.62-1.48c0.39,0.11,9.61,2.77,10.69,12.93c0.13,1.17-0.73,2.23-1.9,2.35
+				C103.99,148.85,103.92,148.86,103.84,148.86z"/>
+		</g>
+		<path d="M150.52,113.11c0.92,2.38-3.69,6.37-10.28,8.9c-6.59,2.54-12.68,2.66-13.6,0.28c-0.92-2.38,3.69-6.37,10.28-8.9
+			C143.52,110.85,149.6,110.73,150.52,113.11z"/>
+		<path d="M197.89,109.7c-0.17,2.54-6.03,4.22-13.08,3.73c-7.05-0.48-12.62-2.94-12.44-5.49c0.18-2.54,6.03-4.21,13.08-3.73
+			C192.49,104.7,198.06,107.15,197.89,109.7z"/>
+		<g>
+			<path d="M133.71,138.13c-0.42,0-0.84-0.12-1.21-0.38c-0.97-0.67-1.21-2-0.54-2.97c5.77-8.35,15.25-6,19.46-3.6
+				c1.02,0.59,1.38,1.89,0.8,2.92c-0.59,1.02-1.89,1.38-2.91,0.8c-0.39-0.22-8.87-4.86-13.83,2.32
+				C135.06,137.81,134.39,138.13,133.71,138.13z"/>
+		</g>
+		<path d="M181.81,126.08c0.74,3.39,3.09,5.76,5.25,5.29c2.16-0.47,3.31-3.61,2.57-7c-0.74-3.39-3.09-5.76-5.25-5.29
+			C182.22,119.55,181.07,122.69,181.81,126.08z"/>
+		<g>
+			<path d="M169.48,152.73c-0.07,0-0.15,0-0.22-0.01c-2.94-0.3-5.63-1.84-7.37-4.23c-1.75-2.38-2.41-5.41-1.81-8.3l3.38-16.36
+				c0.24-1.16,1.37-1.91,2.52-1.66c1.16,0.24,1.9,1.37,1.66,2.53l-3.38,16.36c-0.36,1.74,0.02,3.48,1.07,4.91
+				c1.05,1.43,2.6,2.32,4.36,2.5c1.17,0.12,2.03,1.17,1.91,2.34C171.49,151.91,170.57,152.73,169.48,152.73z"/>
+		</g>
+		<g>
+			<path d="M179.68,169.93c-1.06,0-1.98-0.79-2.12-1.86c-0.15-1.17,0.68-2.24,1.85-2.39c3.08-0.4,5.26-1.62,6.66-3.73
+				c3.42-5.16,1.05-13.86,1.03-13.95c-0.32-1.14,0.35-2.31,1.48-2.63c1.13-0.32,2.31,0.34,2.63,1.48
+				c0.12,0.43,2.93,10.64-1.57,17.45c-2.1,3.17-5.35,5.06-9.69,5.62C179.86,169.93,179.77,169.93,179.68,169.93z"/>
+		</g>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-19.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-19.svg
new file mode 100644
index 00000000000..1da4dd57e8e
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-19.svg	
@@ -0,0 +1,155 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F5F5F5;}
+	.st1{fill:#E8EDC5;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#85BAC6;}
+	.st4{fill:#F6E1DC;}
+	.st5{fill:#080717;}
+	.st6{fill:none;stroke:#080717;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st7{fill:#F2ECDE;}
+	.st8{fill:#C7E1E0;}
+	.st9{fill:#FCDEDE;}
+	.st10{fill:#EFCBBF;}
+	.st11{fill:#CEE1E7;}
+	.st12{fill:#FDEDE0;}
+	.st13{fill:#B9D2D7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#DDD6CC;}
+	.st17{fill:#F3F3F3;}
+	.st18{fill:#E0D5C1;}
+	.st19{fill:none;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st20{fill:#E0E0E0;}
+	.st21{fill:#DBDDC0;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4658 172.5338)" class="st15" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<path class="st2" d="M172.53,345.07c53.68,0,101.63-24.52,133.27-62.96l0.19-8.73c0.58-26.18-20.18-47.86-46.35-48.44
+			l-147.22-3.24c-26.18-0.58-47.87,20.18-48.44,46.35l-0.83,37.9C92.92,330.39,131.01,345.07,172.53,345.07z"/>
+		<g>
+			<path d="M63.15,308.09c-0.01,0-0.03,0-0.05,0c-1.18-0.03-2.11-1-2.09-2.18l0.83-37.9c0.29-13.23,5.72-25.56,15.28-34.71
+				c9.56-9.15,22.02-14.04,35.34-13.74l147.22,3.24c13.23,0.29,25.56,5.72,34.71,15.28c9.15,9.56,14.03,22.11,13.74,35.35
+				l-0.19,8.73c-0.03,1.16-0.98,2.09-2.14,2.09c-0.01,0-0.03,0-0.05,0c-1.18-0.03-2.11-1-2.09-2.18l0.19-8.73
+				c0.27-12.09-4.19-23.56-12.55-32.3c-8.36-8.74-19.63-13.7-31.72-13.96l-147.22-3.24c-12.05-0.3-23.56,4.19-32.3,12.55
+				c-8.74,8.36-13.69,19.62-13.96,31.71L65.29,306C65.26,307.16,64.31,308.09,63.15,308.09z"/>
+		</g>
+		<path d="M164.11,210.69h-19.21c-35.31,0-63.94-28.63-63.94-63.94v-42.57c0-35.31,28.63-63.94,63.94-63.94h19.21
+			c35.31,0,63.94,28.63,63.94,63.94v42.57C228.05,182.06,199.42,210.69,164.11,210.69z"/>
+		<path d="M172.5,168.98L172.5,168.98c-33.9,0-61.38-27.48-61.38-61.38V95.05c0-33.9,27.48-61.38,61.38-61.38l0,0
+			c33.9,0,61.38,27.48,61.38,61.38v12.55C233.88,141.5,206.4,168.98,172.5,168.98z"/>
+		<path d="M234.79,104.29c-22.27-3.77-47.68-4.9-74.48-2.75c-31.83,2.56-77.24,40.19-77.24,52.08c0,28.14-15.18,52.67-37.69,65.7
+			c28.79,15.22,74.7,22.97,125.63,18.88c67.12-5.4,122.46-29.72,140.11-58.64C274.62,169.5,245.68,140.87,234.79,104.29z"/>
+		<g>
+			<path d="M40.05,214.7c-0.78,0-1.53-0.43-1.91-1.17c-0.53-1.05-0.11-2.34,0.94-2.87c23.27-11.81,38.63-35.47,40.08-61.74
+				c0.06-1.18,1.05-2.07,2.25-2.02c1.18,0.06,2.08,1.07,2.02,2.25c-1.53,27.79-17.78,52.82-42.41,65.32
+				C40.71,214.62,40.38,214.7,40.05,214.7z"/>
+		</g>
+		<g>
+			<path d="M239.36,88.39c-0.99,0-1.88-0.69-2.09-1.69c-3.77-17.77-12.3-31.04-25.34-39.43c-13.78-8.86-32.66-11.79-50.52-7.83
+				c-1.17,0.26-2.3-0.47-2.55-1.62c-0.25-1.15,0.47-2.29,1.62-2.55c18.94-4.21,39.04-1.06,53.76,8.41
+				c14.04,9.04,23.2,23.21,27.21,42.14c0.24,1.15-0.49,2.29-1.65,2.53C239.66,88.37,239.51,88.39,239.36,88.39z"/>
+		</g>
+		<g>
+			<path class="st2" d="M223.01,126.69l13.28-3.95c8.11-2.41,12.73-10.94,10.32-19.05l0,0c-2.41-8.11-10.94-12.73-19.05-10.32
+				l-13.28,3.95c-8.11,2.41-12.73,10.94-10.32,19.05l0,0C206.38,124.48,214.91,129.1,223.01,126.69z"/>
+			<path d="M218.63,129.47c-2.86,0-5.7-0.71-8.29-2.11c-4.1-2.22-7.09-5.9-8.42-10.37c-2.74-9.23,2.53-18.96,11.76-21.7l13.28-3.95
+				c4.47-1.33,9.19-0.84,13.29,1.38c4.1,2.22,7.09,5.9,8.42,10.37c1.33,4.47,0.84,9.19-1.39,13.29c-2.22,4.1-5.91,7.09-10.37,8.42
+				l-13.28,3.95l0,0C221.98,129.23,220.3,129.47,218.63,129.47z M223.01,126.69h0.02H223.01z M231.95,94.87
+				c-1.26,0-2.53,0.18-3.77,0.55l-13.28,3.95c-3.37,1-6.16,3.26-7.83,6.36c-1.68,3.09-2.05,6.66-1.04,10.03
+				c1,3.37,3.26,6.16,6.36,7.83c3.1,1.68,6.66,2.05,10.03,1.05l13.28-3.95c3.37-1,6.16-3.26,7.84-6.36
+				c1.68-3.1,2.05-6.66,1.04-10.03c-1-3.38-3.26-6.16-6.36-7.83C236.25,95.41,234.11,94.87,231.95,94.87z"/>
+		</g>
+		<g>
+			<path class="st2" d="M108.67,156.11l-13.86-0.26c-8.46-0.16-15.19-7.14-15.03-15.6l0,0c0.16-8.46,7.14-15.19,15.6-15.03
+				l13.86,0.25c8.46,0.16,15.19,7.14,15.03,15.6l0,0C124.11,149.53,117.13,156.26,108.67,156.11z"/>
+			<path d="M108.96,158.25c-0.11,0-0.21,0-0.33,0l0,0l-13.86-0.26c-4.66-0.09-9.01-1.98-12.24-5.34c-3.24-3.36-4.97-7.77-4.88-12.43
+				c0.09-4.66,1.98-9.01,5.34-12.24c3.36-3.24,7.76-4.98,12.43-4.88l13.86,0.26c4.66,0.09,9.01,1.98,12.24,5.34
+				c3.24,3.36,4.97,7.77,4.88,12.43C126.23,150.63,118.43,158.25,108.96,158.25z M108.71,153.97c0.08,0,0.16,0,0.25,0
+				c7.15,0,13.04-5.75,13.17-12.94c0.06-3.52-1.24-6.85-3.69-9.39c-2.44-2.53-5.73-3.97-9.25-4.03l-13.86-0.26
+				c-3.58-0.12-6.85,1.24-9.39,3.69c-2.53,2.44-3.96,5.73-4.03,9.25c-0.06,3.52,1.24,6.85,3.69,9.39c2.44,2.53,5.73,3.97,9.25,4.03
+				L108.71,153.97z"/>
+		</g>
+		<g>
+			<path class="st2" d="M191.86,282.53L191.86,282.53c-25.87,4.01-50.1-13.72-54.11-39.59l-9.26-59.74
+				c-4.01-25.87,13.72-50.1,39.59-54.11h0c25.87-4.01,50.1,13.72,54.11,39.59l9.26,59.74C235.46,254.3,217.73,278.52,191.86,282.53z
+				"/>
+			<path d="M184.49,285.24c-10.44,0-20.57-3.29-29.15-9.57c-10.68-7.81-17.68-19.32-19.7-32.4l-9.26-59.74
+				c-2.03-13.08,1.16-26.16,8.97-36.84c7.81-10.68,19.32-17.68,32.4-19.71c13.08-2.02,26.16,1.16,36.84,8.98
+				c10.68,7.81,17.68,19.32,19.7,32.4l9.26,59.74c4.18,27-14.38,52.37-41.37,56.55C189.61,285.04,187.04,285.24,184.49,285.24z
+				 M175.43,130.66c-2.33,0-4.68,0.18-7.03,0.54c-11.95,1.85-22.47,8.25-29.6,18c-7.14,9.76-10.05,21.72-8.2,33.67l9.26,59.74
+				c1.85,11.95,8.24,22.46,18.01,29.6c9.76,7.14,21.72,10.06,33.66,8.2c24.67-3.82,41.63-27,37.81-51.67l-9.26-59.74
+				c-1.85-11.95-8.24-22.46-18.01-29.6C194.23,133.67,184.97,130.66,175.43,130.66z"/>
+		</g>
+		<path class="st2" d="M166.05,210.69L166.05,210.69c-34.24,0-62-27.76-62-62V129c0-34.24,27.76-62,62-62h0c34.24,0,62,27.76,62,62
+			v19.69C228.05,182.93,200.29,210.69,166.05,210.69z"/>
+		<path d="M100.91,124.72v0.11c10.98-7.42,19.08-33.28,19.08-64.05v-0.11C109.02,68.08,100.91,93.94,100.91,124.72z"/>
+		<g>
+			<path d="M166.05,212.82c-32.63,0-60.02-24.41-63.71-56.79c-0.13-1.17,0.71-2.23,1.88-2.37c1.19-0.13,2.23,0.71,2.36,1.88
+				c3.45,30.21,29.01,53,59.47,53c13.74,0,27.16-4.77,37.79-13.43c0.92-0.74,2.26-0.61,3.01,0.31c0.75,0.91,0.61,2.26-0.31,3.01
+				C195.14,207.71,180.77,212.82,166.05,212.82z"/>
+		</g>
+		<g>
+			<path d="M226.58,116.55c-1.03,0-1.93-0.74-2.11-1.79c-1.68-10.07,6.49-15.1,6.84-15.31c1.01-0.61,2.32-0.28,2.93,0.73
+				c0.61,1.01,0.28,2.32-0.72,2.93c-0.27,0.17-6.02,3.81-4.83,10.95c0.19,1.16-0.59,2.27-1.76,2.46
+				C226.82,116.54,226.7,116.55,226.58,116.55z"/>
+		</g>
+		<g>
+			<path d="M101.95,147.37c-1.08,0-2.01-0.81-2.12-1.91c-0.76-7.21-7.31-9.18-7.59-9.26c-1.13-0.33-1.79-1.5-1.47-2.64
+				c0.32-1.13,1.49-1.79,2.62-1.48c0.39,0.11,9.61,2.77,10.69,12.93c0.13,1.17-0.73,2.23-1.9,2.35
+				C102.1,147.36,102.02,147.37,101.95,147.37z"/>
+		</g>
+		<path d="M148.63,111.62c0.92,2.38-3.69,6.37-10.28,8.9c-6.59,2.54-12.68,2.66-13.6,0.28c-0.92-2.38,3.69-6.37,10.28-8.9
+			C141.62,109.37,147.71,109.24,148.63,111.62z"/>
+		<path d="M195.99,108.21c-0.18,2.54-6.03,4.22-13.08,3.73c-7.05-0.48-12.62-2.94-12.44-5.49c0.17-2.54,6.03-4.21,13.08-3.73
+			C190.6,103.21,196.17,105.66,195.99,108.21z"/>
+		<g>
+			<path d="M131.81,136.64c-0.42,0-0.84-0.12-1.21-0.38c-0.97-0.67-1.21-2-0.54-2.97c5.77-8.35,15.25-6,19.46-3.6
+				c1.02,0.59,1.38,1.89,0.8,2.91c-0.59,1.02-1.89,1.38-2.91,0.8c-0.39-0.22-8.87-4.86-13.83,2.32
+				C133.16,136.32,132.49,136.64,131.81,136.64z"/>
+		</g>
+		<g>
+			<path d="M178.71,128.83c-0.42,0-0.84-0.12-1.21-0.38c-0.97-0.67-1.21-2-0.54-2.97c5.77-8.35,15.25-6,19.46-3.6
+				c1.02,0.59,1.38,1.89,0.79,2.92c-0.59,1.02-1.89,1.38-2.91,0.8c-0.37-0.21-8.86-4.87-13.83,2.32
+				C180.06,128.51,179.39,128.83,178.71,128.83z"/>
+		</g>
+		<g>
+			<path d="M167.59,151.24c-0.07,0-0.15,0-0.22-0.01c-2.94-0.3-5.63-1.84-7.37-4.23c-1.74-2.38-2.4-5.41-1.81-8.3l3.38-16.36
+				c0.24-1.16,1.37-1.9,2.52-1.66c1.16,0.24,1.9,1.37,1.66,2.52l-3.38,16.36c-0.36,1.74,0.02,3.48,1.07,4.92
+				c1.05,1.43,2.6,2.32,4.36,2.5c1.17,0.12,2.03,1.17,1.91,2.34C169.6,150.43,168.67,151.24,167.59,151.24z"/>
+		</g>
+		<g>
+			<path d="M169.76,165.69c-1.77,0-3.63-0.37-5.55-1.12c-1.1-0.43-1.64-1.67-1.21-2.77c0.43-1.1,1.67-1.64,2.77-1.21
+				c2.91,1.13,5.4,1.11,7.65-0.08c4.56-2.42,7.02-9.29,7.58-11.73c0.26-1.15,1.41-1.87,2.56-1.6c1.15,0.26,1.87,1.41,1.6,2.56
+				c-0.1,0.44-2.54,10.74-9.74,14.56C173.63,165.22,171.75,165.69,169.76,165.69z"/>
+		</g>
+		<path d="M135.09,83.75c-2.97,11.66-9.49,20.07-14.56,18.77c-5.07-1.29-6.77-11.79-3.8-23.46c2.97-11.66,9.49-20.07,14.56-18.77
+			C136.36,61.59,138.06,72.09,135.09,83.75z"/>
+		<path d="M154.49,71.01c8.51,8.51,12.41,18.41,8.71,22.11c-3.7,3.7-13.6-0.2-22.11-8.71s-12.41-18.41-8.71-22.11
+			C136.08,58.61,145.98,62.5,154.49,71.01z"/>
+		<path d="M181.82,59.4c15.51,8.95,24.93,21.68,21.03,28.42c-3.89,6.74-19.62,4.95-35.13-4c-15.51-8.95-24.93-21.68-21.03-28.42
+			C150.58,48.65,166.31,50.45,181.82,59.4z"/>
+		<g>
+			<path class="st3" d="M241.87,138.84c-0.7,0-1.4-0.06-2.1-0.17c-3.47-0.55-6.51-2.43-8.57-5.27c-0.69-0.96-0.48-2.29,0.48-2.98
+				c0.96-0.69,2.29-0.48,2.98,0.48c1.39,1.92,3.45,3.18,5.79,3.56c2.34,0.37,4.69-0.19,6.61-1.58c1.92-1.39,3.18-3.45,3.56-5.79
+				c0.38-2.34-0.19-4.69-1.58-6.61c-1.39-1.92-3.45-3.18-5.79-3.56c-2.34-0.37-4.69,0.19-6.61,1.58c-0.96,0.69-2.29,0.48-2.98-0.48
+				c-0.69-0.96-0.48-2.29,0.48-2.98c2.84-2.06,6.32-2.9,9.79-2.34c3.47,0.55,6.51,2.43,8.57,5.27c2.06,2.84,2.89,6.32,2.34,9.79
+				c-0.56,3.47-2.43,6.51-5.27,8.57C247.29,137.97,244.62,138.84,241.87,138.84z"/>
+		</g>
+		<g>
+			<path class="st3" d="M94.08,175.08c-0.2,0-0.4,0-0.6-0.01c-3.51-0.16-6.75-1.67-9.12-4.26c-2.37-2.59-3.59-5.95-3.43-9.46
+				c0.32-7.24,6.5-12.84,13.72-12.55c1.18,0.05,2.09,1.05,2.04,2.23c-0.05,1.18-1.16,2.07-2.23,2.04c-4.94-0.22-9.05,3.58-9.26,8.47
+				c-0.11,2.37,0.72,4.64,2.32,6.39c1.6,1.75,3.79,2.77,6.15,2.88c2.4,0.11,4.64-0.72,6.39-2.32c1.75-1.6,2.77-3.79,2.88-6.16
+				c0.05-1.18,1.14-2.07,2.23-2.04c1.18,0.05,2.09,1.05,2.04,2.23c-0.16,3.51-1.67,6.75-4.26,9.12
+				C100.49,173.86,97.37,175.08,94.08,175.08z"/>
+		</g>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-20.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-20.svg
new file mode 100644
index 00000000000..f3cadd3f049
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-20.svg	
@@ -0,0 +1,110 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F5F5F5;}
+	.st1{fill:#E8EDC5;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#85BAC6;}
+	.st4{fill:#F6E1DC;}
+	.st5{fill:#080717;}
+	.st6{fill:none;stroke:#080717;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st7{fill:#F2ECDE;}
+	.st8{fill:#C7E1E0;}
+	.st9{fill:#FCDEDE;}
+	.st10{fill:#EFCBBF;}
+	.st11{fill:#CEE1E7;}
+	.st12{fill:#FDEDE0;}
+	.st13{fill:#B9D2D7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#DDD6CC;}
+	.st17{fill:#F3F3F3;}
+	.st18{fill:#E0D5C1;}
+	.st19{fill:none;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st20{fill:#E0E0E0;}
+	.st21{fill:#DBDDC0;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4658 172.5337)" class="st8" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<path d="M172.53,345.07c59.59,0,112.12-30.21,143.12-76.15l-7.5-8.54c-13.46-15.31-34.31-21.88-54.11-17.04l-117.18,28.62
+			c-22.13,5.4-38.59,23.94-41.35,46.55l-0.96,7.91C117.98,338.32,144.46,345.07,172.53,345.07z"/>
+		<path class="st2" d="M208.7,253.04l-28.89,45.75c-7.66,12.13-26.03,9.66-30.22-4.06l-32.75-107.43l64.5-20.47L208.7,253.04z"/>
+		<path d="M193.65,217.8l-16.17-50.97l-60.64,19.24l17.32,54.57C155.72,242.37,177.78,234.6,193.65,217.8z"/>
+		<path d="M167.76,63.91l-16.29,1.99c-37.95,4.64-67.69,33.05-72.11,68.89l-5.34,43.29c-2,16.18,10.15,30.88,27.28,33.01l65.72,8.17
+			L167.76,63.91z"/>
+		<path d="M137.26,65.41l18.95-1.33c44.14-3.11,83.42,20.11,95.26,56.31l14.29,43.72c5.34,16.34-5.72,34.1-24.84,39.88l-73.37,22.16
+			L137.26,65.41z"/>
+		<g>
+			<path d="M143.8,83.85c-0.86,0-1.67-0.52-2-1.38L126.64,42.6c-2.53-6.65-1.37-13.94,3.17-20c0.71-0.94,2.05-1.14,2.99-0.43
+				c0.94,0.71,1.13,2.05,0.43,2.99c-3.7,4.93-4.62,10.58-2.6,15.91l15.16,39.87c0.42,1.1-0.13,2.34-1.24,2.76
+				C144.31,83.81,144.06,83.85,143.8,83.85z"/>
+		</g>
+		<path d="M144.55,82.27l-10.37-40.88c-3.25-12.8,6.11-25.4,19.98-26.9l15.36-1.66c15.29-1.65,28.04,10.91,25.63,25.24l-7.92,47.02
+			L144.55,82.27z"/>
+		<path class="st2" d="M249.9,135.18c-3.15-10.61-14.31-16.66-24.92-13.5l-0.34,0.1c-8.79-30.52-31.73-52.28-58.65-52.28
+			c-29.78,0-54.67,26.64-60.95,62.29c-9.26,0.4-17.3,7.22-18.88,16.73v0c-1.82,10.92,5.56,21.24,16.48,23.06l3.44,0.57
+			c7.67,33.04,31.58,57.15,59.9,57.15c30.96,0,56.65-28.79,61.61-66.57l8.81-2.62C247.01,156.95,253.05,145.8,249.9,135.18z"/>
+		<path d="M193.46,74.1c-8.54-5.65-18.14-8.84-28.3-8.84c-30.66,0-56.29,28.94-62.75,67.66c-2.02,0.09-3.99,0.52-5.85,1.2
+			C132.61,135.95,169.38,112.75,193.46,74.1z"/>
+		<g>
+			<path d="M120.48,141.71c-1.09,0-2.02-0.82-2.12-1.93c-0.11-1.17,0.74-2.22,1.92-2.34c27.58-2.71,53.54-24.81,67.77-57.66
+				c0.47-1.08,1.72-1.58,2.81-1.11c1.08,0.47,1.58,1.73,1.11,2.81c-14.84,34.27-42.15,57.34-71.27,60.21
+				C120.62,141.71,120.55,141.71,120.48,141.71z"/>
+		</g>
+		<g>
+			<path d="M181.07,112.31c-0.42,0-0.85-0.13-1.22-0.39c-0.97-0.68-1.2-2.01-0.53-2.98c6.7-9.58,10.65-21,11.75-33.97
+				c0.1-1.18,1.14-2.04,2.31-1.95c1.18,0.1,2.05,1.13,1.95,2.31c-1.16,13.72-5.36,25.86-12.5,36.06
+				C182.41,111.99,181.75,112.31,181.07,112.31z"/>
+		</g>
+		<g>
+			<path d="M226.75,149.18c-1.03,0-1.93-0.74-2.11-1.79c-1.6-9.57,6.17-14.36,6.51-14.55c1.01-0.61,2.32-0.28,2.93,0.73
+				c0.61,1.01,0.28,2.32-0.72,2.93c-0.24,0.15-5.61,3.54-4.5,10.19c0.19,1.16-0.59,2.27-1.76,2.46
+				C226.98,149.17,226.86,149.18,226.75,149.18z"/>
+		</g>
+		<g>
+			<path d="M102.77,158.12c-0.09,0-0.19-0.01-0.28-0.02c-1.17-0.15-1.99-1.22-1.84-2.39c0.04-0.31,0.7-6.6-5.19-9.86
+				c-1.03-0.57-1.41-1.87-0.83-2.9c0.57-1.03,1.88-1.41,2.9-0.83c8.49,4.7,7.4,13.76,7.35,14.15
+				C104.74,157.34,103.83,158.12,102.77,158.12z"/>
+		</g>
+		<g>
+			<path class="st3" d="M145.03,171.85c-13.36,0-24.23-10.87-24.23-24.23s10.87-24.23,24.23-24.23c13.36,0,24.23,10.87,24.23,24.23
+				S158.39,171.85,145.03,171.85z M145.03,127.66c-11.01,0-19.96,8.95-19.96,19.96c0,11.01,8.95,19.96,19.96,19.96
+				c11.01,0,19.96-8.95,19.96-19.96C164.99,136.61,156.04,127.66,145.03,127.66z"/>
+		</g>
+		<g>
+			<path class="st3" d="M196.86,171.85c-13.36,0-24.23-10.87-24.23-24.23s10.87-24.23,24.23-24.23c13.36,0,24.23,10.87,24.23,24.23
+				S210.22,171.85,196.86,171.85z M196.86,127.66c-11,0-19.96,8.95-19.96,19.96c0,11.01,8.95,19.96,19.96,19.96
+				c11.01,0,19.96-8.95,19.96-19.96C216.82,136.61,207.86,127.66,196.86,127.66z"/>
+		</g>
+		<g>
+			<path class="st3" d="M173.06,151.93h-4.52c-1.18,0-2.14-0.96-2.14-2.14c0-1.18,0.96-2.14,2.14-2.14h4.52
+				c1.18,0,2.14,0.96,2.14,2.14C175.2,150.97,174.25,151.93,173.06,151.93z"/>
+		</g>
+		<path d="M144.18,149.15c0.28,4.06,2.61,7.2,5.19,7.02c2.58-0.18,4.45-3.62,4.16-7.67c-0.28-4.06-2.61-7.2-5.19-7.02
+			C145.76,141.66,143.9,145.1,144.18,149.15z"/>
+		<path d="M185.64,148.65c0,4.07,2.1,7.36,4.69,7.36c2.59,0,4.69-3.3,4.69-7.36c0-4.07-2.1-7.37-4.69-7.37
+			C187.73,141.28,185.64,144.58,185.64,148.65z"/>
+		<g>
+			<path d="M164.86,204.66c-0.15,0-0.29-0.01-0.44-0.05c-13.44-2.83-19.84-12.57-20.1-12.99c-0.64-0.99-0.35-2.32,0.64-2.95
+				c0.99-0.64,2.31-0.35,2.95,0.64c0.11,0.16,5.82,8.68,17.39,11.12c1.15,0.24,1.89,1.38,1.65,2.53
+				C166.74,203.97,165.85,204.66,164.86,204.66z"/>
+		</g>
+		<g>
+			<path d="M172.26,181c-0.97,0-1.85-0.67-2.08-1.66c-0.26-1.15,0.45-2.3,1.6-2.56c1.59-0.37,2.91-1.35,3.71-2.78
+				c0.8-1.43,0.95-3.07,0.42-4.62l-5.05-14.91c-0.38-1.12,0.22-2.33,1.34-2.71c1.12-0.37,2.33,0.22,2.71,1.34l5.05,14.91
+				c0.9,2.67,0.63,5.61-0.74,8.07c-1.38,2.46-3.74,4.24-6.49,4.87C172.58,180.98,172.42,181,172.26,181z"/>
+		</g>
+		<g>
+			<path class="st3" d="M137.76,69.2c-0.88,0-1.7-0.55-2.01-1.42c-0.39-1.11,0.19-2.33,1.3-2.73c32.41-11.53,54.67-1.78,55.6-1.35
+				c1.07,0.48,1.55,1.75,1.07,2.82c-0.48,1.08-1.75,1.56-2.82,1.07c-0.21-0.1-21.71-9.43-52.41,1.49
+				C138.24,69.16,137.99,69.2,137.76,69.2z"/>
+		</g>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-21.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-21.svg
new file mode 100644
index 00000000000..72d24edf492
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-21.svg	
@@ -0,0 +1,128 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F5F5F5;}
+	.st1{fill:#E8EDC5;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#85BAC6;}
+	.st4{fill:#F6E1DC;}
+	.st5{fill:#080717;}
+	.st6{fill:none;stroke:#080717;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st7{fill:#F2ECDE;}
+	.st8{fill:#C7E1E0;}
+	.st9{fill:#FCDEDE;}
+	.st10{fill:#EFCBBF;}
+	.st11{fill:#CEE1E7;}
+	.st12{fill:#FDEDE0;}
+	.st13{fill:#B9D2D7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#DDD6CC;}
+	.st17{fill:#F3F3F3;}
+	.st18{fill:#E0D5C1;}
+	.st19{fill:none;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st20{fill:#E0E0E0;}
+	.st21{fill:#DBDDC0;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4658 172.5338)" class="st4" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<path d="M16.25,245.65c27.52,58.72,87.14,99.41,156.28,99.41c51.08,0,96.96-22.21,128.55-57.49
+			c-43.76-37.08-107.7-60.48-178.96-60.48C84.09,227.1,48.17,233.8,16.25,245.65z"/>
+		<path class="st2" d="M205.59,238.35c-25.98-7.27-54.1-11.25-83.46-11.25c-8.09,0-16.08,0.33-23.96,0.92
+			c2.93,36.87,23.17,65.72,49.66,67.55C173.6,297.34,197.02,272.95,205.59,238.35z"/>
+
+			<rect x="121.92" y="182.19" transform="matrix(0.9639 0.2664 -0.2664 0.9639 64.1317 -34.1172)" class="st2" width="71.82" height="74.32"/>
+		<path d="M189.01,241.37l13.34-48.26l-43.97-12.15l-18.6,12.62C145.6,215.08,162.81,232.47,189.01,241.37z"/>
+		<path d="M180.62,197.34h21.73c34.62,0,62.68-28.06,62.68-62.68v-25.64c0-34.62-28.06-62.68-62.68-62.68h-21.73
+			c-34.62,0-62.68,28.06-62.68,62.68v25.64C117.93,169.28,146,197.34,180.62,197.34z"/>
+		<path d="M140.82,175.08h65.3c15.86,0,28.72-12.86,28.72-28.72v-46.12c0-33.39-27.07-60.46-60.46-60.46h0
+			c-34.4,0-62.29,27.89-62.29,62.29v44.29C112.1,162.22,124.96,175.08,140.82,175.08z"/>
+		<g>
+			<path d="M106.62,94.49c-0.15,0-0.3-0.01-0.44-0.05c-1.16-0.24-1.89-1.38-1.65-2.53c4.01-18.92,13.17-33.1,27.21-42.14
+				c14.72-9.47,34.81-12.61,53.76-8.41c1.15,0.25,1.88,1.4,1.62,2.55c-0.26,1.15-1.39,1.89-2.55,1.62
+				c-17.85-3.96-36.74-1.03-50.52,7.83c-13.05,8.4-21.57,21.66-25.34,39.43C108.49,93.8,107.6,94.49,106.62,94.49z"/>
+		</g>
+		<g>
+			<path class="st2" d="M122.97,132.79l-13.28-3.95c-8.11-2.41-12.73-10.94-10.32-19.05l0,0c2.41-8.11,10.94-12.73,19.05-10.32
+				l13.28,3.95c8.11,2.41,12.73,10.94,10.32,19.05l0,0C139.6,130.58,131.07,135.2,122.97,132.79z"/>
+			<path d="M127.35,135.57c-1.67,0-3.35-0.24-5-0.73l0,0l-13.28-3.95c-4.47-1.33-8.15-4.32-10.37-8.42
+				c-2.22-4.1-2.71-8.82-1.38-13.29c1.33-4.47,4.32-8.15,8.42-10.37c4.1-2.22,8.82-2.71,13.29-1.38l13.28,3.95
+				c4.47,1.33,8.15,4.32,10.37,8.42c2.22,4.1,2.71,8.82,1.38,13.29c-1.33,4.47-4.32,8.15-8.42,10.37
+				C133.06,134.86,130.22,135.57,127.35,135.57z M123.58,130.75c3.37,1,6.94,0.63,10.03-1.04c3.09-1.68,5.35-4.46,6.35-7.83
+				c1.01-3.38,0.63-6.94-1.04-10.03c-1.68-3.1-4.46-5.35-7.83-6.36l-13.28-3.95c-3.37-1-6.94-0.63-10.03,1.04
+				c-3.09,1.68-5.35,4.46-6.35,7.83c-1.01,3.38-0.63,6.94,1.04,10.03c1.68,3.1,4.46,5.35,7.83,6.36L123.58,130.75z"/>
+		</g>
+		<g>
+			<path class="st2" d="M237.31,162.21l13.86-0.26c8.46-0.16,15.19-7.14,15.03-15.6v0c-0.16-8.46-7.14-15.19-15.6-15.03l-13.86,0.26
+				c-8.46,0.16-15.19,7.14-15.03,15.6v0C221.87,155.64,228.85,162.37,237.31,162.21z"/>
+			<path d="M237.02,164.35c-9.48,0-17.27-7.62-17.45-17.13c-0.18-9.62,7.51-17.59,17.13-17.77l13.86-0.26
+				c9.66-0.19,17.59,7.51,17.77,17.13c0.18,9.62-7.51,17.59-17.13,17.77l-13.86,0.26l0,0C237.24,164.35,237.13,164.35,237.02,164.35
+				z M237.31,162.21h0.02H237.31z M250.88,133.46c-0.08,0-0.16,0-0.25,0l-13.86,0.26c-7.27,0.13-13.07,6.15-12.94,13.42
+				c0.13,7.18,6.02,12.94,13.18,12.94c0.08,0,0.16,0,0.25,0l13.86-0.26c7.27-0.13,13.07-6.15,12.94-13.42
+				C263.92,139.22,258.04,133.46,250.88,133.46z"/>
+		</g>
+		<path class="st2" d="M178.18,216.79L178.18,216.79c35.2,0,63.74-28.54,63.74-63.74V132.8c0-35.2-28.54-63.74-63.74-63.74h0
+			c-35.2,0-63.74,28.54-63.74,63.74v20.25C114.44,188.25,142.98,216.79,178.18,216.79z"/>
+		<path d="M245.07,130.82v0.11c-10.98-7.42-19.08-33.28-19.08-64.05v-0.11C236.96,74.19,245.07,100.05,245.07,130.82z"/>
+		<g>
+			<path d="M179.93,218.93c-14.72,0-29.1-5.11-40.49-14.39c-0.91-0.75-1.05-2.09-0.31-3.01c0.75-0.91,2.09-1.05,3.01-0.31
+				c10.63,8.66,24.05,13.43,37.79,13.43c30.46,0,56.02-22.78,59.47-53c0.13-1.17,1.18-2.03,2.36-1.88c1.17,0.13,2.01,1.19,1.88,2.37
+				C239.96,194.51,212.56,218.93,179.93,218.93z"/>
+		</g>
+		<g>
+			<path d="M115.84,121.94c-0.12,0-0.23-0.01-0.35-0.03c-1.16-0.19-1.95-1.29-1.76-2.46c1.19-7.16-4.59-10.8-4.83-10.95
+				c-1-0.62-1.32-1.93-0.71-2.93c0.61-1,1.91-1.33,2.92-0.73c0.35,0.21,8.52,5.24,6.84,15.31
+				C117.77,121.2,116.87,121.94,115.84,121.94z"/>
+		</g>
+		<g>
+			<path d="M244.03,153.47c-0.08,0-0.15,0-0.23-0.01c-1.17-0.13-2.02-1.18-1.9-2.35c1.07-10.15,10.3-12.82,10.69-12.93
+				c1.13-0.31,2.31,0.35,2.63,1.49c0.31,1.13-0.35,2.31-1.48,2.63c-0.29,0.08-6.83,2.05-7.59,9.26
+				C246.04,152.66,245.11,153.47,244.03,153.47z"/>
+		</g>
+		<path d="M197.35,117.72c-0.92,2.38,3.69,6.37,10.28,8.9c6.59,2.54,12.68,2.66,13.6,0.28c0.92-2.38-3.69-6.37-10.28-8.9
+			C204.36,115.47,198.27,115.34,197.35,117.72z"/>
+		<path d="M149.99,114.31c0.18,2.54,6.03,4.21,13.08,3.73c7.05-0.48,12.62-2.94,12.44-5.49c-0.18-2.54-6.03-4.21-13.08-3.73
+			C155.38,109.31,149.81,111.77,149.99,114.31z"/>
+		<g>
+			<path d="M178.39,157.35c-1.08,0-2.01-0.82-2.12-1.92c-0.12-1.17,0.73-2.22,1.91-2.34c1.77-0.18,3.32-1.07,4.36-2.5
+				c1.05-1.43,1.43-3.18,1.07-4.91l-3.38-16.36c-0.24-1.15,0.51-2.29,1.66-2.52c1.15-0.24,2.28,0.5,2.52,1.66l3.38,16.36
+				c0.6,2.89-0.06,5.92-1.81,8.3c-1.75,2.38-4.43,3.93-7.37,4.23C178.54,157.35,178.46,157.35,178.39,157.35z"/>
+		</g>
+		<g>
+			<path d="M168.64,186.95c-1.99,0-3.87-0.47-5.65-1.41c-7.21-3.81-9.64-14.12-9.74-14.56c-0.26-1.15,0.45-2.29,1.6-2.56
+				c1.15-0.26,2.3,0.45,2.56,1.6c0.02,0.09,2.11,8.85,7.59,11.74c2.24,1.18,4.74,1.2,7.64,0.07c1.09-0.43,2.34,0.11,2.77,1.21
+				c0.43,1.1-0.11,2.34-1.21,2.77C172.27,186.57,170.42,186.95,168.64,186.95z"/>
+		</g>
+		<path d="M157.61,56.04c-12.51,4.2-23.43,9.75-31.48,15.59c0.28,2.28,0.78,4.55,1.53,6.78c3.56,10.59,11.91,18.53,22.74,22.99
+			c6.54-1.09,13.54-2.82,20.7-5.23c28.87-9.7,49.25-26.54,45.52-37.63C212.89,47.47,186.47,46.34,157.61,56.04z"/>
+		<path d="M247.18,89.8c7.81,10.65,9.86,22.4,7.46,32.05c-2.22,0.59-4.51,0.98-6.86,1.12c-11.15,0.66-21.63-4.11-29.83-12.49
+			c2.94-7.18-1.33-21.39-11.28-32.05C185.9,56.17,223.73,57.83,247.18,89.8z"/>
+		<path d="M161.26,132.84c-0.19,4.31,1.88,7.91,4.63,8.03c2.74,0.12,5.12-3.28,5.31-7.59c0.19-4.31-1.88-7.91-4.63-8.03
+			C163.83,125.13,161.45,128.53,161.26,132.84z"/>
+		<path d="M201.58,142.53c-0.19,4.31,1.88,7.91,4.63,8.03c2.74,0.12,5.12-3.28,5.31-7.59c0.19-4.31-1.88-7.91-4.63-8.03
+			C204.14,134.82,201.77,138.22,201.58,142.53z"/>
+		<g>
+			<path d="M205.48,55.65c-0.05,0-0.09,0-0.14,0c-1.18-0.07-2.07-1.09-2-2.27c0.53-8.48-9.86-13.46-9.97-13.51
+				c-1.07-0.5-1.53-1.77-1.03-2.84c0.5-1.07,1.76-1.53,2.84-1.03c0.54,0.25,13.14,6.24,12.43,17.65
+				C207.54,54.78,206.6,55.65,205.48,55.65z"/>
+		</g>
+		<g>
+			<path d="M206.29,50.69c-0.11,0-0.23-0.01-0.35-0.03c-1.16-0.19-1.96-1.29-1.77-2.45c0.99-6.07,5.75-7.84,8.13-7.92
+				c0.02,0,0.05,0,0.08,0c1.15,0,2.09,0.91,2.13,2.06c0.04,1.17-0.87,2.16-2.04,2.21c-0.58,0.04-3.44,0.42-4.08,4.34
+				C208.23,49.95,207.32,50.69,206.29,50.69z"/>
+		</g>
+		<g>
+			<path d="M167.26,104.53c-0.98,0-1.86-0.68-2.08-1.67c-0.26-1.15,0.47-2.29,1.62-2.55c17.08-3.81,29.96-12.01,38.27-24.38
+				c0.66-0.98,1.99-1.24,2.97-0.58c0.98,0.66,1.24,1.99,0.58,2.97c-8.94,13.3-22.69,22.11-40.88,26.17
+				C167.57,104.51,167.41,104.53,167.26,104.53z"/>
+		</g>
+		<polygon points="122.38,84.35 120.7,125.67 127.4,127.46 144.15,79.86 		"/>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-22.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-22.svg
new file mode 100644
index 00000000000..31976afbc29
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-22.svg	
@@ -0,0 +1,90 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F5F5F5;}
+	.st1{fill:#E8EDC5;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#85BAC6;}
+	.st4{fill:#F6E1DC;}
+	.st5{fill:#080717;}
+	.st6{fill:none;stroke:#080717;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st7{fill:#F2ECDE;}
+	.st8{fill:#C7E1E0;}
+	.st9{fill:#FCDEDE;}
+	.st10{fill:#EFCBBF;}
+	.st11{fill:#CEE1E7;}
+	.st12{fill:#FDEDE0;}
+	.st13{fill:#B9D2D7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#DDD6CC;}
+	.st17{fill:#F3F3F3;}
+	.st18{fill:#E0D5C1;}
+	.st19{fill:none;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st20{fill:#E0E0E0;}
+	.st21{fill:#DBDDC0;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4658 172.5337)" class="st18" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<circle cx="172.56" cy="108.25" r="61.11"/>
+		<ellipse transform="matrix(0.4681 -0.8837 0.8837 0.4681 31.6304 239.8623)" cx="215.07" cy="93.66" rx="36.56" ry="36.56"/>
+		<ellipse transform="matrix(0.9446 -0.3283 0.3283 0.9446 -35.428 44.0871)" cx="112.84" cy="126.96" rx="52.81" ry="52.81"/>
+		<path class="st2" d="M137.52,137.4c-3.73-8.94-12.57-15.21-22.88-15.15c-12.99,0.07-23.96,10.66-24.47,23.64
+			c-0.55,14.06,10.68,25.62,24.61,25.62c2.99,0,5.83-0.56,8.48-1.53l-19.51,122.25l32.74,5.22c24.8,3.96,48.12-12.94,52.08-37.75
+			l17.77-111.33L137.52,137.4z"/>
+		<g>
+			<path d="M114.78,175.79c-1.18,0-2.14-0.96-2.14-2.14s0.96-2.14,2.14-2.14c4.04,0,7.99-1.08,11.45-3.12
+				c1.62-0.96,3.12-2.13,4.46-3.46c0.83-0.83,2.19-0.83,3.02,0c0.83,0.83,0.83,2.19,0,3.02c-1.59,1.59-3.37,2.97-5.3,4.12
+				C124.29,174.5,119.58,175.79,114.78,175.79z"/>
+		</g>
+
+			<ellipse transform="matrix(0.9803 -0.1977 0.1977 0.9803 -24.4444 41.3232)" class="st2" cx="194.69" cy="143.06" rx="57.65" ry="73.88"/>
+		<path d="M134.38,133.82c0.56,0.16,1.11,0.34,1.68,0.49c31.64,8.05,65.71-18.07,76.1-58.35c0.12-0.46,0.21-0.91,0.32-1.36
+			c-10.41-5.41-21.86-7.47-33.24-5.19C152.83,74.7,135.12,101.66,134.38,133.82z"/>
+		<g>
+			<path d="M193.9,220.51c-0.09,0-0.18-0.01-0.27-0.02c-17.81-2.27-34.57-14.12-45.98-32.51c-0.62-1-0.31-2.32,0.69-2.94
+				c1-0.62,2.32-0.31,2.94,0.69c10.73,17.29,26.36,28.41,42.89,30.52c1.17,0.15,2,1.22,1.85,2.39
+				C195.88,219.72,194.96,220.51,193.9,220.51z"/>
+		</g>
+		<path d="M236.11,120.52c-1.03,1.78,2.14,5.53,7.07,8.38c4.93,2.85,9.76,3.71,10.79,1.93c1.03-1.78-2.14-5.53-7.07-8.38
+			C241.97,119.6,237.14,118.74,236.11,120.52z"/>
+		<path d="M185.79,128.72c0.53,2.49,6.57,3.32,13.47,1.84c6.91-1.48,12.08-4.7,11.54-7.19c-0.53-2.49-6.57-3.32-13.47-1.84
+			C190.42,123.01,185.26,126.23,185.79,128.72z"/>
+		<g>
+			<path d="M226.11,156.84c-0.58,0-1.16-0.24-1.58-0.7c-0.79-0.87-0.73-2.23,0.15-3.02c1.65-1.49,2.36-3.68,1.92-5.85l-3.38-16.36
+				c-0.24-1.15,0.5-2.29,1.66-2.52c1.15-0.23,2.29,0.5,2.52,1.66l3.38,16.36c0.75,3.61-0.49,7.4-3.23,9.89
+				C227.14,156.66,226.62,156.84,226.11,156.84z"/>
+		</g>
+		<g>
+			<path d="M197.69,144.69c-0.4,0-0.81-0.11-1.18-0.35c-0.98-0.65-1.25-1.98-0.6-2.96c5.05-7.62,11.28-6.71,13.87-5.16
+				c1.01,0.6,1.35,1.92,0.74,2.93c-0.6,1-1.9,1.34-2.91,0.76c-0.44-0.24-4.22-2.08-8.14,3.84
+				C199.06,144.35,198.38,144.69,197.69,144.69z"/>
+		</g>
+		<g>
+			<path d="M247.31,141.65c-0.82,0-1.6-0.48-1.96-1.28c-0.21-0.46-2.18-4.17-8.84-1.71c-1.1,0.4-2.33-0.16-2.74-1.26
+				c-0.41-1.11,0.15-2.34,1.26-2.75c8.57-3.17,13.06,1.24,14.24,4.02c0.46,1.09-0.05,2.34-1.13,2.8
+				C247.87,141.6,247.59,141.65,247.31,141.65z"/>
+		</g>
+		<g>
+			<path d="M218.22,169.54c-3.82,0-6.38-2.08-7.44-3.72c-0.64-0.99-0.36-2.31,0.63-2.96c0.98-0.64,2.3-0.37,2.94,0.6
+				c0.29,0.41,2.88,3.72,9,0.15c1.02-0.6,2.33-0.25,2.92,0.77c0.59,1.02,0.25,2.33-0.77,2.92
+				C222.73,168.93,220.29,169.54,218.22,169.54z"/>
+		</g>
+		<path class="st3" d="M132.07,235.47c-42.29,0-81.29,6.2-112.61,16.64c28.77,55.22,86.5,92.95,153.07,92.95
+			c52.34,0,99.21-23.34,130.85-60.15C274.54,255.81,208.7,235.47,132.07,235.47z"/>
+		<path class="st2" d="M132.07,235.47c-14.63,0-28.87,0.74-42.53,2.15c5.26,31.76,35.48,56.12,71.97,56.12
+			c32.44,0,59.9-19.24,69.31-45.82C202.17,240.03,168.33,235.47,132.07,235.47z"/>
+		<g>
+			<path d="M125.2,156.6c-0.06,0-0.13,0-0.2-0.01c-1.17-0.11-2.04-1.15-1.93-2.32c0.55-6.07-0.64-10.85-3.54-14.23
+				c-4.13-4.8-10.49-5.23-10.55-5.24c-1.17-0.07-2.08-1.08-2.01-2.25c0.07-1.17,1.02-2.07,2.24-2.01c0.33,0.02,8.17,0.5,13.52,6.67
+				c3.71,4.29,5.26,10.16,4.6,17.45C127.23,155.77,126.3,156.6,125.2,156.6z"/>
+		</g>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-23.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-23.svg
new file mode 100644
index 00000000000..8ca26c7ad1b
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-23.svg	
@@ -0,0 +1,117 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F5F5F5;}
+	.st1{fill:#E8EDC5;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#85BAC6;}
+	.st4{fill:#F6E1DC;}
+	.st5{fill:#080717;}
+	.st6{fill:none;stroke:#080717;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st7{fill:#F2ECDE;}
+	.st8{fill:#C7E1E0;}
+	.st9{fill:#FCDEDE;}
+	.st10{fill:#EFCBBF;}
+	.st11{fill:#CEE1E7;}
+	.st12{fill:#FDEDE0;}
+	.st13{fill:#B9D2D7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#DDD6CC;}
+	.st17{fill:#F3F3F3;}
+	.st18{fill:#E0D5C1;}
+	.st19{fill:none;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st20{fill:#E0E0E0;}
+	.st21{fill:#DBDDC0;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4658 172.5337)" class="st0" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4658 172.5337)" class="st17" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<path class="st3" d="M7.5,222.94c21.57,70.69,87.28,122.13,165.03,122.13c41.89,0,80.28-14.94,110.17-39.77
+			c-7.84-56.91-83.61-101.57-175.98-101.57C69.94,203.73,35.79,210.82,7.5,222.94z"/>
+		<g>
+			<path d="M64.75,237.13c-0.28,0-0.57-0.06-0.84-0.17c-1.09-0.47-1.59-1.72-1.12-2.81c20.93-48.74,60.91-143.62,62.38-153.89
+				c0.17-1.17,1.26-1.98,2.42-1.81c1.17,0.17,1.98,1.25,1.81,2.42c-1.91,13.39-60.2,149.19-62.68,154.97
+				C66.36,236.65,65.58,237.13,64.75,237.13z"/>
+		</g>
+		<polygon points="281.52,161.07 279.55,269.1 245.01,268.22 244.03,238.11 236.13,265.56 98.97,251.39 108.84,213.31 88.12,246.96
+			72.33,242.54 129.56,92.88 		"/>
+		<path d="M198.02,220.51h5.9c43.6,0,78.95-35.35,78.95-78.95v-11.42c0-43.6-35.35-78.95-78.95-78.95h-5.9
+			c-43.6,0-78.95,35.35-78.95,78.95v11.42C119.08,185.16,154.42,220.51,198.02,220.51z"/>
+		<path d="M163.38,176.08h17.94c28.94,0,52.41-23.46,52.41-52.41V93.18c0-28.94-23.46-52.41-52.41-52.41h-17.94
+			c-28.94,0-52.41,23.46-52.41,52.41v30.49C110.97,152.62,134.44,176.08,163.38,176.08z"/>
+		<g>
+			<path class="st2" d="M127.56,145l-17.23-5.12c-10.52-3.13-16.51-14.19-13.39-24.71l0,0c3.13-10.52,14.19-16.51,24.71-13.39
+				l17.23,5.12c10.52,3.13,16.51,14.19,13.39,24.71l0,0C149.14,142.13,138.08,148.13,127.56,145z"/>
+			<path d="M133.21,147.96c-2.07,0-4.18-0.3-6.26-0.91l-17.23-5.12c-11.63-3.46-18.28-15.74-14.83-27.37
+				c3.46-11.63,15.73-18.29,27.37-14.83l17.23,5.12c5.63,1.67,10.28,5.44,13.08,10.61c2.8,5.17,3.42,11.12,1.74,16.75
+				C151.48,141.77,142.7,147.96,133.21,147.96z M116,103.09c-7.65,0-14.72,4.99-17.01,12.68c-2.79,9.37,2.57,19.27,11.95,22.05
+				l17.23,5.12l0,0c9.37,2.78,19.27-2.57,22.05-11.95c1.35-4.54,0.85-9.33-1.4-13.5c-2.26-4.16-6-7.2-10.54-8.55l-17.23-5.12
+				C119.36,103.33,117.66,103.09,116,103.09z"/>
+		</g>
+		<g>
+			<path class="st2" d="M223.43,170.5l18.99-0.35c11.59-0.21,20.82-9.79,20.61-21.38l0,0c-0.21-11.59-9.79-20.82-21.38-20.61
+				l-18.99,0.35c-11.59,0.21-20.82,9.79-20.61,21.38l0,0C202.27,161.49,211.84,170.71,223.43,170.5z"/>
+			<path d="M223.04,172.64c-12.56,0-22.89-10.1-23.12-22.71c-0.11-6.18,2.18-12.03,6.47-16.48c4.29-4.45,10.05-6.96,16.23-7.08
+				l18.99-0.35c6.14-0.09,12.03,2.18,16.48,6.47c4.45,4.29,6.96,10.05,7.08,16.23c0.11,6.18-2.18,12.03-6.47,16.48
+				c-4.29,4.45-10.05,6.96-16.23,7.08l-19,0.35l0,0C223.33,172.64,223.19,172.64,223.04,172.64z M223.43,170.5h0.02H223.43z
+				 M242.05,130.29c-0.12,0-0.24,0-0.36,0l-18.99,0.35c-5.04,0.09-9.74,2.14-13.23,5.77c-3.5,3.63-5.37,8.4-5.28,13.44
+				c0.19,10.4,8.9,18.72,19.2,18.51l18.99-0.35c5.04-0.09,9.74-2.14,13.23-5.77c3.5-3.63,5.37-8.4,5.28-13.44
+				c-0.09-5.04-2.14-9.74-5.77-13.23C251.59,132.16,246.96,130.29,242.05,130.29z"/>
+		</g>
+		<path class="st2" d="M139.33,302.96L139.33,302.96c-19.22-4.84-30.87-24.35-26.02-43.56L137.1,165
+			c4.84-19.22,24.35-30.87,43.56-26.02l0,0c19.22,4.84,30.87,24.35,26.02,43.56l-23.79,94.4
+			C178.05,296.15,158.55,307.8,139.33,302.96z"/>
+		<path d="M164.91,236.87L164.91,236.87c-19.22-4.84-30.87-24.35-26.02-43.56l0,0c4.84-19.22,24.35-30.87,43.56-26.02l0,0
+			c19.22,4.84,30.87,24.35,26.02,43.56l0,0C203.63,230.07,184.13,241.72,164.91,236.87z"/>
+		<path class="st2" d="M178.8,217.79L178.8,217.79c34.24,0,62-27.76,62-62V136.1c0-34.24-27.76-62-62-62l0,0
+			c-34.24,0-62,27.76-62,62v19.69C116.81,190.03,144.56,217.79,178.8,217.79z"/>
+		<g>
+			<path d="M178.8,219.93c-14.72,0-29.1-5.11-40.49-14.39c-0.91-0.75-1.05-2.09-0.31-3.01c0.75-0.91,2.09-1.05,3.01-0.31
+				c10.63,8.66,24.05,13.43,37.79,13.43c30.46,0,56.02-22.78,59.47-53c0.13-1.17,1.22-2.01,2.36-1.88c1.17,0.13,2.02,1.19,1.88,2.37
+				C238.83,195.52,211.43,219.93,178.8,219.93z"/>
+		</g>
+		<g>
+			<path d="M115.18,129.58c-0.12,0-0.23-0.01-0.35-0.03c-1.16-0.19-1.95-1.29-1.76-2.46c1.21-7.23-4.77-10.91-4.83-10.94
+				c-1.01-0.61-1.34-1.92-0.73-2.93c0.61-1.01,1.92-1.34,2.93-0.73c0.35,0.21,8.52,5.24,6.84,15.31
+				C117.12,128.84,116.21,129.58,115.18,129.58z"/>
+		</g>
+		<g>
+			<path d="M242.91,154.47c-0.07,0-0.15,0-0.23-0.01c-1.17-0.12-2.02-1.18-1.9-2.35c1.07-10.15,10.29-12.82,10.69-12.93
+				c1.13-0.3,2.31,0.35,2.63,1.49c0.31,1.13-0.35,2.31-1.48,2.63c-0.29,0.08-6.83,2.05-7.59,9.26
+				C244.91,153.66,243.99,154.47,242.91,154.47z"/>
+		</g>
+		<path d="M196.23,118.72c-0.92,2.38,3.69,6.37,10.28,8.9c6.59,2.54,12.68,2.66,13.6,0.28c0.92-2.38-3.69-6.37-10.28-8.9
+			C203.23,116.47,197.14,116.34,196.23,118.72z"/>
+		<path d="M148.86,115.31c0.18,2.54,6.03,4.22,13.08,3.73c7.05-0.48,12.62-2.94,12.44-5.49c-0.18-2.54-6.03-4.21-13.08-3.73
+			C154.26,110.31,148.69,112.77,148.86,115.31z"/>
+		<g>
+			<path d="M177.26,158.35c-1.08,0-2.01-0.82-2.12-1.92c-0.12-1.17,0.73-2.22,1.91-2.34c1.77-0.18,3.31-1.07,4.36-2.5
+				c1.05-1.43,1.43-3.18,1.07-4.91l-3.38-16.36c-0.24-1.15,0.51-2.29,1.66-2.52c1.16-0.24,2.28,0.5,2.52,1.66l3.38,16.36
+				c0.6,2.89-0.06,5.92-1.81,8.3c-1.75,2.38-4.43,3.92-7.37,4.23C177.41,158.35,177.34,158.35,177.26,158.35z"/>
+		</g>
+		<g>
+			<path d="M175.09,172.79c-1.99,0-3.88-0.47-5.65-1.41c-7.21-3.82-9.64-14.12-9.74-14.56c-0.26-1.15,0.45-2.29,1.6-2.56
+				c1.15-0.27,2.3,0.45,2.56,1.6c0.02,0.09,2.11,8.85,7.59,11.74c2.24,1.18,4.74,1.21,7.64,0.08c1.1-0.43,2.34,0.11,2.77,1.21
+				c0.43,1.1-0.11,2.34-1.21,2.77C178.72,172.42,176.87,172.79,175.09,172.79z"/>
+		</g>
+		<ellipse transform="matrix(0.866 -0.5 0.5 0.866 -18.2197 89.6605)" cx="158.2" cy="78.83" rx="42.78" ry="19.95"/>
+		<g>
+			<path d="M146.21,113.33c-0.98,0-1.86-0.68-2.08-1.67c-0.25-1.15,0.47-2.29,1.62-2.55c31.36-6.98,42.56-27.26,46.42-43.06
+				c0.28-1.14,1.45-1.84,2.59-1.57c1.15,0.28,1.85,1.44,1.57,2.58c-5.88,23.98-23.51,40.39-49.65,46.21
+				C146.52,113.31,146.36,113.33,146.21,113.33z"/>
+		</g>
+		<path d="M210.67,139.85c0.3,4.26-2.01,7.89-5.16,8.12c-3.15,0.22-5.95-3.05-6.25-7.31c-0.3-4.26,2.01-7.89,5.16-8.12
+			C207.57,132.32,210.37,135.59,210.67,139.85z"/>
+		<path d="M166.14,134.17c0.3,4.26-2.01,7.89-5.16,8.12c-3.15,0.22-5.95-3.05-6.25-7.31c-0.3-4.26,2.01-7.89,5.16-8.12
+			C163.04,126.63,165.84,129.91,166.14,134.17z"/>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-24.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-24.svg
new file mode 100644
index 00000000000..70c5f9af7ee
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-24.svg	
@@ -0,0 +1,100 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F5F5F5;}
+	.st1{fill:#E8EDC5;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#85BAC6;}
+	.st4{fill:#F6E1DC;}
+	.st5{fill:#080717;}
+	.st6{fill:none;stroke:#080717;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st7{fill:#F2ECDE;}
+	.st8{fill:#C7E1E0;}
+	.st9{fill:#FCDEDE;}
+	.st10{fill:#EFCBBF;}
+	.st11{fill:#CEE1E7;}
+	.st12{fill:#FDEDE0;}
+	.st13{fill:#B9D2D7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#DDD6CC;}
+	.st17{fill:#F3F3F3;}
+	.st18{fill:#E0D5C1;}
+	.st19{fill:none;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st20{fill:#E0E0E0;}
+	.st21{fill:#DBDDC0;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4658 172.5338)" class="st12" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<path class="st3" d="M172.53,345.07c70.82,0,131.65-42.69,158.23-103.72c-35.3-26.55-112.6-14.52-185.38,31.65
+			c-23.17,14.7-43.39,31.29-59.93,48.47C111.03,336.44,140.76,345.07,172.53,345.07z"/>
+		<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -51.4456 216.076)" cx="235.1" cy="170.14" rx="76.86" ry="76.86"/>
+		<ellipse transform="matrix(0.3044 -0.9525 0.9525 0.3044 -9.4943 257.6197)" cx="171.64" cy="135.31" rx="61.11" ry="61.11"/>
+		<ellipse transform="matrix(0.8152 -0.5792 0.5792 0.8152 -49.4547 97.2412)" cx="127.65" cy="126.12" rx="36.56" ry="36.56"/>
+		<ellipse transform="matrix(0.4498 -0.8931 0.8931 0.4498 -123.6145 190.7347)" cx="93.01" cy="195.7" rx="52.81" ry="52.81"/>
+		<g>
+			<path d="M64.95,250.63c-0.28,0-0.57-0.06-0.85-0.18c-16.44-7.11-28.15-23.52-30.57-42.83c-1.73-13.82,1.44-27.43,8.94-38.33
+				c7.55-10.97,18.58-17.87,31.05-19.43c1.17-0.15,2.24,0.68,2.39,1.85c0.15,1.17-0.68,2.24-1.85,2.39
+				c-11.24,1.41-21.21,7.67-28.06,17.62c-6.9,10.03-9.83,22.59-8.22,35.37c2.23,17.82,12.97,32.93,28.03,39.44
+				c1.08,0.47,1.58,1.73,1.11,2.81C66.56,250.15,65.78,250.63,64.95,250.63z"/>
+		</g>
+		<ellipse transform="matrix(0.5374 -0.8433 0.8433 0.5374 -43.5136 146.8816)" cx="112.13" cy="113.1" rx="69.09" ry="69.09"/>
+		<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -11.0974 163.4162)" cx="191.71" cy="95.1" rx="69.09" ry="69.09"/>
+		<g>
+			<path d="M197.25,162.55c-15.74,0-30.94-5.19-43.56-15c-15.02-11.67-24.6-28.5-26.97-47.38l0,0
+				c-2.37-18.88,2.76-37.55,14.43-52.57c11.67-15.02,28.5-24.6,47.38-26.97c38.96-4.88,74.65,22.84,79.54,61.81
+				c4.89,38.97-22.84,74.65-61.81,79.54C203.25,162.37,200.24,162.55,197.25,162.55z M197.44,24.36c-2.77,0-5.56,0.17-8.38,0.52
+				c-17.74,2.23-33.56,11.23-44.53,25.35c-10.97,14.12-15.79,31.67-13.57,49.42l0,0c2.22,17.74,11.23,33.56,25.35,44.53
+				c14.12,10.97,31.65,15.79,49.42,13.57c36.63-4.59,62.69-38.14,58.1-74.77C259.59,49.17,230.68,24.36,197.44,24.36z"/>
+		</g>
+		<circle cx="163.29" cy="203.11" r="69.09"/>
+		<path class="st2" d="M209.86,158.42c2.7-8.48,10.76-15.2,20.99-16.43c12.9-1.55,24.98,6.58,26.94,18.15
+			c2.13,12.53-7.72,24.3-21.54,26.04c-2.96,0.37-5.85,0.23-8.59-0.32l33.1,107.18l-31.9,8.76c-24.17,6.64-49.2-5.61-55.92-27.36
+			l-30.15-97.61L209.86,158.42z"/>
+		<g>
+			<path d="M234.04,195.34c-3.66,0-7.28-0.75-10.64-2.21c-2.06-0.89-4-2.05-5.78-3.43c-0.93-0.72-1.1-2.07-0.38-3
+				c0.72-0.93,2.07-1.1,3-0.38c1.49,1.16,3.13,2.13,4.86,2.88c3.68,1.6,7.74,2.17,11.75,1.68c1.19-0.15,2.24,0.69,2.38,1.85
+				c0.15,1.17-0.68,2.24-1.86,2.39C236.27,195.27,235.15,195.34,234.04,195.34z"/>
+		</g>
+
+			<ellipse transform="matrix(0.0742 -0.9972 0.9972 0.0742 -29.5361 313.3817)" class="st2" cx="154.02" cy="172.6" rx="73.88" ry="57.65"/>
+		<path d="M212.71,155.93c-0.53,0.23-1.06,0.48-1.61,0.69c-30.39,11.93-67.45-9.75-82.77-48.42c-0.17-0.44-0.32-0.88-0.49-1.31
+			c9.66-6.66,20.76-10.13,32.33-9.29C187.05,99.56,207.97,124.11,212.71,155.93z"/>
+		<g>
+			<path d="M164.18,249.37c-0.95,0-1.82-0.64-2.07-1.61c-0.29-1.14,0.39-2.31,1.54-2.6c16.14-4.15,30.26-17.13,38.76-35.62
+				c0.49-1.07,1.76-1.54,2.83-1.05c1.07,0.49,1.54,1.76,1.05,2.83c-9.03,19.66-24.19,33.51-41.58,37.98
+				C164.53,249.35,164.35,249.37,164.18,249.37z"/>
+		</g>
+		<path d="M110.12,155.39c1.24,1.64-1.43,5.76-5.97,9.2c-4.54,3.44-9.23,4.9-10.47,3.26c-1.24-1.64,1.43-5.76,5.97-9.2
+			C104.19,155.21,108.87,153.75,110.12,155.39z"/>
+		<path d="M161.06,157.26c-0.22,2.54-6.1,4.11-13.14,3.5c-7.04-0.61-12.57-3.16-12.35-5.7c0.22-2.54,6.1-4.11,13.14-3.5
+			C155.76,152.17,161.28,154.72,161.06,157.26z"/>
+		<g>
+			<path d="M124.29,190.2c-0.42,0-0.85-0.13-1.22-0.39c-3.03-2.12-4.73-5.72-4.44-9.41l1.32-16.65c0.1-1.18,1.1-2.04,2.3-1.96
+				c1.18,0.09,2.05,1.12,1.96,2.3l-1.32,16.65c-0.18,2.21,0.81,4.29,2.63,5.57c0.97,0.68,1.2,2.01,0.53,2.98
+				C125.62,189.89,124.96,190.2,124.29,190.2z"/>
+		</g>
+		<g>
+			<path d="M145.82,218.74c-4.34,0-9.28-2.46-14.76-7.35c0,0,0,0,0,0c-0.75-0.67-1.05-1.63-0.79-2.57
+				c0.33-1.22,1.01-3.76,26.71-9.07c0.67-0.14,1.38,0.06,1.89,0.53c0.51,0.47,0.76,1.16,0.66,1.85c-0.07,0.53-1.8,12.93-9.99,15.97
+				C148.36,218.52,147.12,218.74,145.82,218.74z M135.69,209.71c3.81,3.07,8.56,5.77,12.36,4.36c3.57-1.32,5.61-5.97,6.59-9.47
+				C147.04,206.28,139.15,208.34,135.69,209.71z"/>
+		</g>
+		<g>
+			<path d="M224.38,177.41c-0.98,0-1.87-0.68-2.08-1.68c-1.57-7.15-0.76-13.17,2.39-17.88c4.54-6.79,12.26-8.24,12.59-8.3
+				c1.17-0.21,2.27,0.56,2.48,1.73c0.21,1.16-0.56,2.27-1.72,2.48l0,0c-0.06,0.01-6.32,1.23-9.82,6.51
+				c-2.46,3.71-3.05,8.61-1.75,14.56c0.25,1.15-0.48,2.29-1.63,2.54C224.69,177.39,224.53,177.41,224.38,177.41z"/>
+		</g>
+		<path d="M114.82,176.4c0.3,4.26-2.01,7.89-5.16,8.12c-3.15,0.22-5.95-3.05-6.25-7.31c-0.3-4.26,2.01-7.89,5.16-8.12
+			C111.72,168.86,114.52,172.14,114.82,176.4z"/>
+		<path d="M150.8,173.96c0.3,4.26-2.01,7.89-5.16,8.12c-3.15,0.22-5.95-3.05-6.25-7.31c-0.3-4.26,2.01-7.89,5.16-8.12
+			C147.7,166.43,150.5,169.7,150.8,173.96z"/>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-25.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-25.svg
new file mode 100644
index 00000000000..0b06acf108a
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-25.svg	
@@ -0,0 +1,97 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F5F5F5;}
+	.st1{fill:#E8EDC5;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#85BAC6;}
+	.st4{fill:#F6E1DC;}
+	.st5{fill:#080717;}
+	.st6{fill:none;stroke:#080717;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st7{fill:#F2ECDE;}
+	.st8{fill:#C7E1E0;}
+	.st9{fill:#FCDEDE;}
+	.st10{fill:#EFCBBF;}
+	.st11{fill:#CEE1E7;}
+	.st12{fill:#FDEDE0;}
+	.st13{fill:#B9D2D7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#DDD6CC;}
+	.st17{fill:#F3F3F3;}
+	.st18{fill:#E0D5C1;}
+	.st19{fill:none;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st20{fill:#E0E0E0;}
+	.st21{fill:#DBDDC0;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4658 172.5337)" class="st11" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<path class="st3" d="M330.9,241.04c-9.89-19.94-25.47-36.69-45.18-47.54c-0.13,0.01-0.26,0.03-0.39,0.04
+			c-10.46-5.92-26.41-5.07-41.84-1.74L73.93,245.68c-15.74,5.62-28.83,16.51-39.45,30.33c31.48,41.93,81.6,69.05,138.06,69.05
+			C243.47,345.07,304.39,302.24,330.9,241.04z"/>
+		<rect x="166.07" y="78.91" class="st2" width="72.82" height="146.85"/>
+		<path d="M234.38,190.3H128.77c-16.62,0-30.09-13.47-30.09-30.09V83.33c0-14.76,11.96-26.72,26.72-26.72h98.06
+			c18.71,0,33.87,15.17,33.87,33.87v76.86C257.33,180.02,247.06,190.3,234.38,190.3z"/>
+		<g>
+			<path class="st2" d="M211.81,178.32l18.69-3.41c11.41-2.08,18.97-13.02,16.89-24.43l0,0c-2.08-11.41-13.02-18.97-24.43-16.89
+				l-18.69,3.41c-11.41,2.08-18.97,13.02-16.89,24.43l0,0C189.47,172.84,200.4,180.4,211.81,178.32z"/>
+			<path d="M207.99,180.81c-4.66,0-9.2-1.41-13.11-4.11c-5.08-3.51-8.49-8.8-9.6-14.88c-1.11-6.08,0.21-12.23,3.73-17.31
+				c3.51-5.08,8.8-8.49,14.88-9.6l18.69-3.41c6.08-1.11,12.23,0.22,17.31,3.73c5.08,3.51,8.49,8.8,9.6,14.88
+				c1.11,6.08-0.21,12.23-3.73,17.31c-3.52,5.08-8.8,8.49-14.88,9.6l-18.69,3.41C210.79,180.68,209.39,180.81,207.99,180.81z
+				 M226.77,135.39c-1.14,0-2.28,0.1-3.42,0.31l-18.69,3.41c-4.96,0.9-9.26,3.68-12.13,7.83c-2.87,4.14-3.94,9.16-3.04,14.11
+				c0.91,4.96,3.69,9.26,7.83,12.13c4.14,2.86,9.15,3.95,14.11,3.04l0,0l18.69-3.41c4.96-0.9,9.26-3.68,12.13-7.83
+				c2.87-4.14,3.94-9.16,3.04-14.11c-0.9-4.96-3.69-9.26-7.83-12.13C234.27,136.54,230.57,135.39,226.77,135.39z"/>
+		</g>
+		<g>
+			<path d="M228.09,159.39c-1.12,0-2.07-0.88-2.13-2.02c-0.58-10.19,8.09-14.31,8.46-14.48c1.08-0.5,2.34-0.02,2.84,1.05
+				c0.49,1.07,0.03,2.33-1.04,2.83l0,0c-0.26,0.12-6.4,3.12-5.99,10.36c0.07,1.18-0.83,2.19-2.01,2.25
+				C228.17,159.39,228.13,159.39,228.09,159.39z"/>
+		</g>
+		<path class="st2" d="M207.81,232.52h-83.04c-9.18,0-16.62-7.44-16.62-16.62V92.18c0-9.18,7.44-16.62,16.62-16.62h83.04
+			c9.18,0,16.62,7.44,16.62,16.62V215.9C224.43,225.08,216.99,232.52,207.81,232.52z"/>
+		<path d="M181.42,106.15c15.32,0,28.48-10,34.26-24.3c-6.76-7.23-16.03-11.7-26.28-11.7h-47.65c-19.24,0-35.07,15.75-37.16,36
+			H181.42z"/>
+		<path d="M204.5,66.36h-1.52c-4.83,7.69-7.67,17.01-7.67,27.06c0,26.39,19.51,47.78,43.58,47.78c0.38,0,0.75-0.02,1.13-0.03V97.78
+			C240.02,80.43,224.11,66.36,204.5,66.36z"/>
+		<g>
+			<path d="M223.73,76.07c-0.37,0-0.75-0.1-1.1-0.3c-1-0.6-1.33-1.89-0.75-2.9c0.06-0.12,0.93-1.81,0.13-4.46
+				c-0.88-2.93-3.94-7.47-13.48-12.47c-1.05-0.55-1.45-1.84-0.9-2.88c0.55-1.05,1.83-1.45,2.88-0.9
+				c8.85,4.63,14.12,9.77,15.66,15.26c1.23,4.38-0.41,7.31-0.61,7.63C225.16,75.7,224.46,76.07,223.73,76.07z"/>
+		</g>
+		<g>
+			<path d="M213.91,81.53c-1.15,0-2.09-0.88-2.13-2.03c-0.01-0.37-0.05-3.73,3.14-6.98c4-4.07,11.07-6.04,21.07-5.85
+				c1.18,0.02,2.12,1,2.1,2.18c-0.02,1.17-0.97,2.1-2.14,2.1c-0.01,0-0.03,0-0.04,0c-10.74-0.2-15.63,2.3-17.81,4.45
+				c-2.01,1.98-2.04,3.9-2.04,3.98c0,1.16-0.93,2.13-2.1,2.16C213.93,81.53,213.92,81.53,213.91,81.53z"/>
+		</g>
+		<g>
+			<path d="M179.21,131.93c-0.29,0-0.58-0.06-0.86-0.18c-6.65-2.93-14.37-3.19-21.21-0.72c-1.1,0.4-2.33-0.17-2.74-1.28
+				c-0.4-1.11,0.17-2.33,1.28-2.74c7.86-2.84,16.74-2.54,24.38,0.83c1.08,0.48,1.57,1.74,1.09,2.82
+				C180.82,131.46,180.04,131.93,179.21,131.93z"/>
+		</g>
+		<g>
+			<path d="M107.67,132.08c-0.64,0-1.27-0.28-1.69-0.82c-0.72-0.93-0.56-2.27,0.37-3c6.76-5.26,14.48-6.32,22.96-3.14
+				c1.1,0.41,1.66,1.65,1.25,2.75c-0.42,1.1-1.65,1.66-2.75,1.25c-7.09-2.66-13.25-1.84-18.83,2.51
+				C108.59,131.93,108.13,132.08,107.67,132.08z"/>
+		</g>
+		<g>
+			<path d="M142.44,176.84c-0.06,0-0.12,0-0.18-0.01c-8.43-0.69-14.8-7.57-15.06-7.86c-0.54-0.59-0.7-1.42-0.43-2.17l11.31-31.35
+				c0.4-1.11,1.63-1.68,2.73-1.29c1.11,0.4,1.69,1.63,1.29,2.74l-10.84,30.06c1.83,1.67,6.23,5.19,11.36,5.61
+				c1.18,0.1,2.05,1.13,1.96,2.3C144.48,175.99,143.54,176.84,142.44,176.84z"/>
+		</g>
+		<path d="M168.56,146.7c0.3,4.26-2.01,7.89-5.16,8.12c-3.15,0.22-5.95-3.05-6.25-7.31c-0.3-4.26,2.01-7.89,5.16-8.12
+			C165.46,139.17,168.26,142.44,168.56,146.7z"/>
+		<path d="M124.3,146.7c0.3,4.26-2.01,7.89-5.16,8.12c-3.15,0.22-5.95-3.05-6.25-7.31c-0.3-4.26,2.01-7.89,5.16-8.12
+			C121.2,139.17,124,142.44,124.3,146.7z"/>
+		<path d="M85.41,56.65h86.5v49.26H97.18c-6.5,0-11.77-5.27-11.77-11.77V56.65z"/>
+		<path d="M196.66,151.9v11.25c0,9.7-7.86,17.56-17.56,17.56h-70.94v61.75c0,19.62,15.9,35.52,35.52,35.52h45.25
+			c19.62,0,35.52-15.9,35.52-35.52v-6.54v-19.7v-83.66h-8.45C205.31,132.58,196.66,141.23,196.66,151.9z"/>
+		<path class="st2" d="M170.18,194.88l-29.15,3.56C141.03,198.44,166.94,224.29,170.18,194.88z"/>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-26.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-26.svg
new file mode 100644
index 00000000000..efe31a6aed9
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-26.svg	
@@ -0,0 +1,105 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F5F5F5;}
+	.st1{fill:#E8EDC5;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#85BAC6;}
+	.st4{fill:#F6E1DC;}
+	.st5{fill:#080717;}
+	.st6{fill:none;stroke:#080717;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st7{fill:#F2ECDE;}
+	.st8{fill:#C7E1E0;}
+	.st9{fill:#FCDEDE;}
+	.st10{fill:#EFCBBF;}
+	.st11{fill:#CEE1E7;}
+	.st12{fill:#FDEDE0;}
+	.st13{fill:#B9D2D7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#DDD6CC;}
+	.st17{fill:#F3F3F3;}
+	.st18{fill:#E0D5C1;}
+	.st19{fill:none;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st20{fill:#E0E0E0;}
+	.st21{fill:#DBDDC0;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4658 172.5338)" class="st20" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<path d="M168.41,122.32l103.92-11.34c-8.27-38.06-41.81-66.85-82.43-67.5c-47.38-0.76-86.4,37.03-87.16,84.4
+			c-0.72,44.45,32.5,81.54,75.73,86.59L168.41,122.32z"/>
+		<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -103.0503 121.1649)" cx="94.73" cy="184.98" rx="50.63" ry="50.63"/>
+		<g>
+			<path d="M91.44,232.06c-0.29,0-0.57,0-0.86-0.01c-29.09-0.47-52.38-24.52-51.91-53.61c0.47-29.09,24.6-52.34,53.61-51.91
+				c14.09,0.23,27.25,5.93,37.06,16.05c9.81,10.12,15.08,23.46,14.85,37.55C143.72,208.94,120.14,232.06,91.44,232.06z M91.42,130.8
+				c-26.38,0-48.05,21.24-48.47,47.71c-0.43,26.74,20.97,48.84,47.7,49.27c0.26,0,0.53,0.01,0.79,0.01
+				c26.38,0,48.05-21.24,48.47-47.71c0.21-12.95-4.64-25.21-13.65-34.51c-9.01-9.3-21.1-14.54-34.06-14.75
+				C91.95,130.8,91.68,130.8,91.42,130.8z"/>
+		</g>
+		<path class="st2" d="M148.86,120.57c-2.92-9.06-10.09-15.5-18.56-15.58c-10.68-0.1-19.87,10.43-20.5,23.52
+			c-0.68,14.17,8.36,25.98,19.82,26.16c2.45,0.04,4.8-0.49,7-1.43l-14.87,101.47c-1.77,12.11,6.16,23.52,18.14,26.06l5.54,1.18
+			c20.33,4.32,39.77-12.41,43.43-37.37l16.41-112.03L148.86,120.57z"/>
+
+			<ellipse transform="matrix(0.9833 -0.1819 0.1819 0.9833 -24.8544 39.2315)" class="st2" cx="201.4" cy="155.08" rx="54.53" ry="77.49"/>
+		<g>
+			<path d="M189.6,229.62c-0.31,0-0.62-0.07-0.92-0.21c-12.12-5.78-23.21-16.82-31.24-31.08c-0.58-1.03-0.21-2.33,0.81-2.91
+				c1.03-0.58,2.33-0.21,2.91,0.81c7.6,13.5,18.02,23.92,29.35,29.32c1.06,0.51,1.52,1.78,1.01,2.85
+				C191.16,229.17,190.4,229.62,189.6,229.62z"/>
+		</g>
+		<path d="M239.4,121.86c-0.67,1.7,2.6,4.59,7.31,6.45c4.71,1.86,9.07,2,9.74,0.3c0.67-1.7-2.6-4.59-7.31-6.45
+			C244.44,120.29,240.08,120.16,239.4,121.86z"/>
+		<path d="M189.4,131.44c0.79,2.12,6.2,2.07,12.09-0.13c5.88-2.2,10.01-5.7,9.22-7.82c-0.79-2.12-6.2-2.07-12.09,0.13
+			C192.73,125.81,188.6,129.32,189.4,131.44z"/>
+		<g>
+			<path d="M225.83,209.28c-8.28,0-13.06-10.96-13.28-11.49c-0.46-1.08,0.04-2.34,1.12-2.8c1.1-0.47,2.34,0.04,2.8,1.12
+				c0.05,0.11,4.69,10.7,11.19,8.58c1.13-0.37,2.33,0.25,2.69,1.37c0.37,1.12-0.25,2.33-1.37,2.69
+				C227.89,209.12,226.83,209.28,225.83,209.28z"/>
+		</g>
+		<g>
+			<path d="M140.86,135.93c-0.07,0-0.15,0-0.23-0.01c-1.17-0.13-2.02-1.18-1.9-2.35c0.57-5.34-0.41-9.56-2.92-12.55
+				c-3.57-4.26-9.05-4.69-9.11-4.69c-1.18-0.08-2.07-1.1-1.99-2.28c0.08-1.18,1.11-2.05,2.28-1.98c0.3,0.02,7.36,0.57,12.09,6.21
+				c3.28,3.92,4.59,9.22,3.89,15.75C142.87,135.12,141.94,135.93,140.86,135.93z"/>
+		</g>
+		<path d="M240.04,153.69c0,3.8,2.28,6.87,5.08,6.87c2.81,0,5.08-3.08,5.08-6.87c0-3.8-2.28-6.87-5.08-6.87
+			C242.32,146.82,240.04,149.9,240.04,153.69z"/>
+		<path d="M207.31,155.05c0.43,3.77,3.05,6.57,5.84,6.25c2.79-0.32,4.7-3.64,4.27-7.41c-0.43-3.77-3.05-6.57-5.84-6.25
+			C208.79,147.96,206.88,151.27,207.31,155.05z"/>
+		<path d="M203.69,119.31c6.74-10.35,12.01-23.04,15.06-37.41c0.11-0.52,0.2-1.04,0.3-1.57c-10.1-6.68-21.18-9.52-32.16-7.33
+			c-20.7,4.12-35.78,25-41.01,52.62L203.69,119.31z"/>
+		<g>
+			<path d="M279.67,111.47c-0.92,0-1.76-0.59-2.04-1.51c-0.13-0.44-13.9-44.06-56.19-54.09c-1.15-0.27-1.86-1.42-1.59-2.57
+				c0.27-1.15,1.42-1.86,2.57-1.59c44.72,10.6,59.15,56.54,59.29,57c0.34,1.13-0.29,2.32-1.42,2.66
+				C280.08,111.44,279.87,111.47,279.67,111.47z"/>
+		</g>
+		<g>
+			<path class="st3" d="M206.73,182.44c-10.73,0-19.46-11.49-19.46-25.6c0-14.12,8.73-25.6,19.46-25.6
+				c10.73,0,19.47,11.49,19.47,25.6C226.2,170.95,217.46,182.44,206.73,182.44z M206.73,135.5c-8.38,0-15.19,9.57-15.19,21.33
+				c0,11.76,6.81,21.33,15.19,21.33c8.38,0,15.19-9.57,15.19-21.33C221.92,145.07,215.11,135.5,206.73,135.5z"/>
+		</g>
+		<g>
+			<path class="st3" d="M251.86,182.44c-10.73,0-19.47-11.49-19.47-25.6c0-14.12,8.73-25.6,19.47-25.6
+				c10.73,0,19.47,11.49,19.47,25.6C271.32,170.95,262.59,182.44,251.86,182.44z M251.86,135.5c-8.38,0-15.19,9.57-15.19,21.33
+				c0,11.76,6.82,21.33,15.19,21.33c8.38,0,15.19-9.57,15.19-21.33C267.05,145.07,260.24,135.5,251.86,135.5z"/>
+		</g>
+		<g>
+			<path class="st3" d="M232.36,158.97h-6.49c-1.18,0-2.14-0.96-2.14-2.14c0-1.18,0.96-2.14,2.14-2.14h6.49
+				c1.18,0,2.14,0.96,2.14,2.14C234.5,158.01,233.54,158.97,232.36,158.97z"/>
+		</g>
+		<g>
+			<path d="M231.59,184.34c-0.61,0-1.22-0.26-1.64-0.77c-0.76-0.91-0.64-2.25,0.27-3.01c1.45-1.21,2.13-3.05,1.83-4.91l-2.42-14.65
+				c-0.19-1.16,0.59-2.26,1.76-2.46c1.15-0.19,2.26,0.6,2.46,1.76l2.42,14.65c0.55,3.32-0.72,6.73-3.3,8.89
+				C232.56,184.18,232.07,184.34,231.59,184.34z"/>
+		</g>
+		<path d="M195.85,299.75l-82.96-7.94c-3.25-0.31-5.63-3.2-5.32-6.45l3.53-36.9c0.31-3.25,3.2-5.63,6.45-5.32l82.96,7.94
+			c3.25,0.31,5.63,3.2,5.32,6.45l-3.53,36.9C201.98,297.68,199.1,300.06,195.85,299.75z"/>
+		<path d="M172.53,345.07c44.59,0,85.22-16.92,115.85-44.68c-12.42-5.59-25.92-9.29-40.22-10.61l-146.79-13.63
+			c-20.98-1.95-41.28,1.35-59.66,8.8C73.34,321.73,120.2,345.07,172.53,345.07z"/>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-27.svg b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-27.svg
new file mode 100644
index 00000000000..6be7092b043
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/People/People Avatar-02-27.svg	
@@ -0,0 +1,82 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 25.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 345.07 345.07" style="enable-background:new 0 0 345.07 345.07;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#F5F5F5;}
+	.st1{fill:#E8EDC5;}
+	.st2{fill:#FFFFFF;}
+	.st3{fill:#85BAC6;}
+	.st4{fill:#F6E1DC;}
+	.st5{fill:#080717;}
+	.st6{fill:none;stroke:#080717;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st7{fill:#F2ECDE;}
+	.st8{fill:#C7E1E0;}
+	.st9{fill:#FCDEDE;}
+	.st10{fill:#EFCBBF;}
+	.st11{fill:#CEE1E7;}
+	.st12{fill:#FDEDE0;}
+	.st13{fill:#B9D2D7;}
+	.st14{fill:#EDE6E4;}
+	.st15{fill:#FDE3EC;}
+	.st16{fill:#DDD6CC;}
+	.st17{fill:#F3F3F3;}
+	.st18{fill:#E0D5C1;}
+	.st19{fill:none;stroke:#000000;stroke-width:2;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
+	.st20{fill:#E0E0E0;}
+	.st21{fill:#DBDDC0;}
+</style>
+<g id="Layer_3">
+</g>
+<g id="_x3C_Layer_x3E_">
+	<g>
+
+			<ellipse transform="matrix(0.7071 -0.7071 0.7071 0.7071 -71.4658 172.5338)" class="st21" cx="172.53" cy="172.53" rx="172.53" ry="172.53"/>
+		<ellipse cx="187.31" cy="123.3" rx="74.99" ry="70.43"/>
+		<path d="M323.8,255.55L237,91.94l-32.21-14.21l-5.71,265.31C252.91,334.72,298.52,301.52,323.8,255.55z"/>
+		<rect x="119.57" y="142.28" class="st2" width="83.32" height="159.04"/>
+		<path d="M119.57,243.46c22.24-5.08,41.41-21.21,49.3-44.39l7.27-21.33l-56.57-19.35V243.46z"/>
+		<path class="st2" d="M203.18,133.44c5.08-22.64-5.51-46.71-27.12-57.77h0c-25.62-13.11-57.01-2.97-70.13,22.64l-2.62,5.12
+			c-5.38-2.05-11.54,0.21-14.19,5.47h0c-2.62,5.21-0.81,11.43,3.94,14.56l-9.15,17.87c-13.11,25.62-2.97,57.01,22.64,70.13
+			c25.62,13.11,57.01,2.97,70.13-22.64l7.87-15.37l10.63,1.03c11.54,1.12,21.8-7.34,22.92-18.88v0
+			C219.09,145.41,212.63,136.24,203.18,133.44z"/>
+		<g>
+			<path class="st2" d="M196.85,177.07c11.54,1.12,21.8-7.34,22.92-18.88l0,0L196.85,177.07z"/>
+			<path d="M198.91,179.31c-0.75,0-1.51-0.04-2.27-0.11c-1.17-0.11-2.04-1.16-1.92-2.33c0.11-1.17,1.16-2.03,2.33-1.92
+				c5.02,0.49,9.92-1.01,13.81-4.22c3.89-3.2,6.3-7.73,6.78-12.74c0.11-1.17,1.19-2.03,2.33-1.92c1.17,0.11,2.04,1.16,1.92,2.33
+				c-0.59,6.15-3.55,11.7-8.32,15.63C209.4,177.47,204.26,179.31,198.91,179.31z"/>
+		</g>
+		<g>
+			<path class="st2" d="M120.03,218.21c22.1,4.13,45.18-6.47,55.94-27.5L120.03,218.21z"/>
+			<path d="M129.44,221.22c-3.26,0-6.54-0.3-9.81-0.91c-1.16-0.22-1.92-1.33-1.71-2.49c0.22-1.16,1.34-1.92,2.49-1.71
+				c21.58,4.03,43.64-6.81,53.65-26.37c0.54-1.05,1.82-1.46,2.88-0.93c1.05,0.54,1.46,1.82,0.93,2.88
+				C168.53,209.95,149.5,221.22,129.44,221.22z"/>
+		</g>
+		<g>
+			<path d="M193.43,161.1c-0.15,0-0.31-0.02-0.47-0.05c-1.15-0.26-1.88-1.4-1.62-2.55c2.23-9.96,11.69-11.56,12.1-11.62
+				c1.16-0.19,2.26,0.62,2.44,1.78c0.18,1.16-0.61,2.25-1.77,2.44c-0.33,0.06-7.02,1.27-8.6,8.33
+				C195.29,160.42,194.41,161.1,193.43,161.1z"/>
+		</g>
+		<g>
+			<path d="M109.63,139.39c-5.49,0-8.85-3.5-8.91-3.56c-0.81-0.86-0.76-2.21,0.1-3.02c0.86-0.8,2.2-0.76,3.01,0.09
+				c0.58,0.6,5.82,5.53,14.29-1.49c0.91-0.76,2.26-0.63,3.01,0.28c0.75,0.91,0.63,2.26-0.28,3.01
+				C116.57,138.25,112.75,139.39,109.63,139.39z"/>
+		</g>
+		<path d="M115.61,108.45c-0.91,2.78,0.22,5.63,2.52,6.38c2.3,0.75,4.89-0.89,5.8-3.67c0.91-2.78-0.22-5.63-2.52-6.38
+			C119.11,104.03,116.52,105.67,115.61,108.45z"/>
+		<path d="M126.29,93c-1.29,1.29,0.56,5.24,4.14,8.82c3.58,3.58,7.53,5.43,8.82,4.14c1.29-1.29-0.56-5.24-4.14-8.82
+			C131.54,93.56,127.59,91.71,126.29,93z"/>
+		<path d="M206.19,133.44c4.72-23.58-5.12-48.65-25.19-60.17h0c-12.51-7.18-26.51-7.66-38.74-2.63c6.55,0.64,24.86,3.51,28.46,15.61
+			C175.12,101.06,175.65,129.31,206.19,133.44z"/>
+		<g>
+			<path d="M194.06,134.26c-8.61,0-15.26-1.94-20.17-5.85c-9.06-7.22-10.03-19.71-10.82-29.75c-0.38-4.9-0.74-9.53-1.96-12.56
+				c-5.16-12.92-17.14-14.77-17.27-14.79c-1.17-0.17-1.98-1.25-1.81-2.42c0.17-1.17,1.25-1.98,2.42-1.81
+				c0.59,0.08,14.55,2.24,20.63,17.43c1.46,3.64,1.84,8.59,2.25,13.82c0.76,9.69,1.62,20.68,9.22,26.74
+				c5.85,4.66,14.98,5.99,27.92,4.07c1.17-0.17,2.25,0.63,2.43,1.8c0.17,1.17-0.63,2.25-1.8,2.43
+				C201.11,133.96,197.44,134.26,194.06,134.26z"/>
+		</g>
+		<path class="st3" d="M91.22,324.72c24.23,12.98,51.91,20.35,81.32,20.35c42.1,0,80.66-15.09,110.61-40.14
+			c-23.52-29.89-54.84-48.14-89.25-48.14C152.43,256.78,115.45,283.28,91.22,324.72z"/>
+	</g>
+</g>
+</svg>
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/Space/026-alien.svg b/src/backend/base/langflow/initial_setup/profile_pictures/Space/026-alien.svg
new file mode 100644
index 00000000000..a897a78b019
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/Space/026-alien.svg
@@ -0,0 +1 @@
+<svg height="512pt" viewBox="0 0 512.00102 512" width="512pt" xmlns="http://www.w3.org/2000/svg"><path d="m256 22c-135.308594 0-245 109.6875-245 245 0 85.648438 43.960938 161.019531 110.539062 204.816406l269.070313-.097656c66.496094-43.8125 110.390625-119.132812 110.390625-204.71875 0-135.3125-109.691406-245-245-245zm0 0" fill="#162680"/><path d="m256.074219 34.175781c-75.140625 0-136.054688 60.910157-136.054688 136.050781v300.589844c38.90625 26.007813 85.667969 41.183594 135.980469 41.183594 50.375 0 97.195312-15.210938 136.128906-41.28125v-300.492188c0-75.140624-60.914062-136.050781-136.054687-136.050781zm0 0" fill="#a2ec00"/><path d="m216.386719 465.453125v-295.226563c0-65.089843 29.523437-119.492187 68.964843-132.882812-9.429687-2.070312-19.222656-3.167969-29.277343-3.167969-75.140625 0-136.054688 60.910157-136.054688 136.050781v300.589844c31.738281 21.21875 68.707031 35.21875 108.5625 39.660156-7.757812-13.246093-12.195312-28.667968-12.195312-45.023437zm0 0" fill="#51da18"/><path d="m433.878906 18.796875c-37.035156-29.5-96.953125-25.722656-126.011718 21.648437-2.886719 4.703126-3.082032 10.425782-.527344 15.304688 5.914062 11.292969 22.289062 11.023438 27.757812-.8125 16.011719-34.632812 58.234375-47.886719 91-29 1.554688-3.21875 4.292969-5.816406 7.78125-7.140625zm0 0" fill="#d7f9b7"/><path d="m292.796875 129.75c-.109375.011719-.214844.023438-.324219.023438h-72.792968c-.113282 0-.21875-.011719-.324219-.023438-5.1875 7.332031-8.246094 16.273438-8.246094 25.9375 0 24.835938 20.132813 44.96875 44.964844 44.96875 24.835937 0 44.96875-20.132812 44.96875-44.96875 0-9.664062-3.058594-18.605469-8.246094-25.9375zm0 0" fill="#e0f9fe"/><path d="m175.730469 386.882812c-.859375 2.144532-1.59375 4.425782-2.167969 6.820313-3.769531 15.667969.558594 30.144531 9.660156 32.332031 9.105469 2.191406 19.539063-8.734375 23.308594-24.402344.574219-2.398437.960938-4.765624 1.167969-7.0625-10.890625-1.941406-21.558594-4.515624-31.96875-7.6875zm0 0" fill="#e0f9fe"/><path d="m189.3125 393.703125c.234375-.976563.5-1.933594.789062-2.875-4.84375-1.191406-9.636718-2.503906-14.371093-3.945313-.859375 2.140626-1.59375 4.425782-2.167969 6.820313-3.769531 15.667969.558594 30.144531 9.660156 32.332031 3.527344.847656 7.25-.277344 10.710938-2.878906-5.511719-5.40625-7.605469-17.050781-4.621094-29.453125zm0 0" fill="#b9e9fd"/><path d="m336.421875 386.882812c-10.410156 3.171876-21.082031 5.746094-31.972656 7.6875.210937 2.296876.59375 4.664063 1.171875 7.0625 3.765625 15.667969 14.199218 26.59375 23.304687 24.402344 9.105469-2.1875 13.429688-16.664062 9.664063-32.332031-.574219-2.394531-1.308594-4.675781-2.167969-6.820313zm0 0" fill="#e0f9fe"/><path d="m319.554688 395.296875c-.296876-1.238281-.542969-2.472656-.738282-3.691406-4.746094 1.109375-9.53125 2.101562-14.367187 2.964843.210937 2.296876.59375 4.664063 1.171875 7.0625 3.765625 15.667969 14.199218 26.59375 23.304687 24.402344 3.296875-.792968 5.964844-3.203125 7.851563-6.691406-7.265625-2.460938-14.277344-11.808594-17.222656-24.046875zm0 0" fill="#b9e9fd"/><path d="m167.554688 388.148438c-4.667969-1.613282-7.144532-6.703126-5.53125-11.371094 1.613281-4.664063 6.703124-7.140625 11.367187-5.527344 52.519531 18.140625 110.71875 18.878906 165.367187 0 4.664063-1.613281 9.757813.863281 11.371094 5.527344 1.609375 4.667968-.867187 9.757812-5.53125 11.371094-56.339844 19.460937-118.652344 20.171874-177.042968 0zm0 0" fill="#00c82f"/><path d="m145.378906 313.410156c-5.140625-7.292968-15.242187-8.882812-22.359375-3.589844-22.367187 16.628907-72.550781 14.859376-86.664062-8.5-6.261719-10.359374-5.277344-23.890624-2.054688-36.558593 2.074219-8.15625-2.515625-16.519531-10.546875-19.042969-8.5625-2.691406-17.695312 2.277344-19.980468 10.957031-4.679688 17.773438-7.082032 40.144531 5.523437 61 24.421875 40.40625 95.425781 44.394531 131.871094 18.039063 7.054687-5.097656 9.226562-15.1875 4.210937-22.304688zm0 0" fill="#51da18"/><path d="m451.945312 28.222656c-1.609374-7.726562-9.175781-12.683594-16.902343-11.074218-7.722657 1.613281-12.679688 9.179687-11.070313 16.902343 1.609375 7.722657 9.175782 12.679688 16.902344 11.070313 7.722656-1.609375 12.679688-9.175782 11.070312-16.898438zm0 0" fill="#fc7acd"/><path d="m451.929688 28.210938c-.195313-.941407-.484376-1.84375-.847657-2.699219-.152343 4.152343-3.097656 7.824219-7.347656 8.710937-5 1.039063-9.898437-2.167968-10.941406-7.167968-.882813-4.25 1.304687-8.417969 5.050781-10.214844-.929688.007812-1.871094.101562-2.8125.300781-7.726562 1.609375-12.683594 9.175781-11.070312 16.898437 1.609374 7.726563 9.175781 12.683594 16.898437 11.070313 7.726563-1.605469 12.679687-9.175781 11.070313-16.898437zm0 0" fill="#f948b4"/><path d="m353.546875 12.664062c0-4.097656 1.953125-7.726562 4.96875-10.042968-19.753906 5.019531-38.085937 17.34375-50.648437 37.824218-2.886719 4.703126-3.082032 10.421876-.527344 15.304688 5.914062 11.289062 22.289062 11.023438 27.757812-.8125 6.191406-13.390625 16.304688-23.566406 28.269532-29.941406-5.625-1.292969-9.820313-6.316406-9.820313-12.332032zm0 0" fill="#8fe98a"/><path d="m78.273438 18.796875c37.035156-29.5 96.949218-25.722656 126.011718 21.648437 2.882813 4.703126 3.082032 10.425782.523438 15.304688-5.910156 11.292969-22.289063 11.023438-27.757813-.8125-16.011719-34.632812-58.234375-47.886719-91-29-1.554687-3.21875-4.289062-5.816406-7.777343-7.140625zm0 0" fill="#d7f9b7"/><path d="m88.191406 28.214844c-1.609375-7.726563-9.175781-12.683594-16.898437-11.070313-7.726563 1.609375-12.679688 9.175781-11.070313 16.898438 1.609375 7.722656 9.175782 12.679687 16.898438 11.070312s12.679687-9.175781 11.070312-16.898437zm0 0" fill="#fc7acd"/><path d="m88.191406 28.210938c-.199218-.941407-.484375-1.84375-.847656-2.699219-.152344 4.152343-3.097656 7.824219-7.347656 8.710937-5 1.039063-9.898438-2.167968-10.941406-7.167968-.886719-4.25 1.304687-8.417969 5.046874-10.214844-.925781.007812-1.867187.101562-2.8125.300781-7.722656 1.609375-12.679687 9.175781-11.070312 16.898437 1.609375 7.726563 9.175781 12.683594 16.898438 11.070313 7.726562-1.605469 12.683593-9.175781 11.074218-16.898437zm0 0" fill="#f948b4"/><path d="m158.601562 12.664062c0-4.097656-1.953124-7.726562-4.96875-10.042968 19.757813 5.019531 38.089844 17.34375 50.652344 37.824218 2.886719 4.703126 3.082032 10.421876.523438 15.304688-5.910156 11.289062-22.285156 11.023438-27.753906-.8125-6.191407-13.390625-16.308594-23.566406-28.269532-29.941406 5.621094-1.292969 9.816406-6.316406 9.816406-12.332032zm0 0" fill="#8fe98a"/><path d="m280.65625 193.335938c-24.050781-4.996094-17.636719-26.878907-17.636719-26.878907l-6.945312-21.734375c-5.972657-8.859375 1.941406-13.605468 1.941406-13.605468l.046875-1.34375h-38.382812c-.113282 0-.21875-.011719-.324219-.023438-5.191407 7.332031-8.246094 16.273438-8.246094 25.9375 0 24.835938 20.128906 44.96875 44.964844 44.96875 9.074219 0 17.515625-2.699219 24.582031-7.320312zm0 0" fill="#b9e9fd"/><path d="m268.058594 156.703125c0 6.617187-5.367188 11.984375-11.984375 11.984375-6.617188 0-11.980469-5.367188-11.980469-11.984375s5.363281-11.980469 11.980469-11.980469c6.617187 0 11.984375 5.363282 11.984375 11.980469zm0 0" fill="#61b6ff"/><path d="m294.988281 125.699219c-9.285156-11.15625-23.265625-18.257813-38.914062-18.257813-15.644531 0-29.628907 7.101563-38.914063 18.257813-1.789062 2.152343-.28125 5.417969 2.519532 5.417969h72.792968c2.800782 0 4.308594-3.265626 2.515625-5.417969zm0 0" fill="#51da18"/><path d="m252.214844 119.910156c0-5.402344 3.125-10.066406 7.660156-12.3125-1.257812-.09375-2.519531-.15625-3.800781-.15625-15.648438 0-29.628907 7.101563-38.914063 18.257813-1.792968 2.152343-.28125 5.417969 2.519532 5.417969h38.332031c-3.503907-2.492188-5.796875-6.578126-5.796875-11.207032zm0 0" fill="#00c82f"/><path d="m306.960938 256.417969c-.148438.011719-.296876.03125-.453126.03125h-100.867187c-.152344 0-.300781-.019531-.449219-.03125-7.1875 10.15625-11.425781 22.550781-11.425781 35.941406 0 34.410156 27.894531 62.308594 62.308594 62.308594 34.414062 0 62.3125-27.898438 62.3125-62.308594 0-13.390625-4.238281-25.785156-11.425781-35.941406zm0 0" fill="#e0f9fe"/><path d="m290.136719 344.523438c-33.328125-6.921876-24.441407-37.242188-24.441407-37.242188l-9.621093-30.121094c-8.273438-12.269531 2.6875-18.851562 2.6875-18.851562l.066406-1.859375h-53.1875c-.152344 0-.300781-.019531-.449219-.035157-7.1875 10.160157-11.425781 22.550782-11.425781 35.941407 0 34.414062 27.894531 62.3125 62.308594 62.3125 12.574219 0 24.273437-3.738281 34.0625-10.144531zm0 0" fill="#b9e9fd"/><path d="m272.679688 293.765625c0 9.167969-7.433594 16.601563-16.605469 16.601563-9.167969 0-16.601563-7.433594-16.601563-16.601563 0-9.171875 7.433594-16.605469 16.601563-16.605469 9.171875 0 16.605469 7.433594 16.605469 16.605469zm0 0" fill="#61b6ff"/><path d="m309.996094 250.800781c-12.863282-15.457031-32.238282-25.300781-53.921875-25.300781-21.679688 0-41.054688 9.84375-53.921875 25.300781-2.480469 2.980469-.390625 7.507813 3.488281 7.507813h100.867187c3.882813 0 5.972657-4.527344 3.488282-7.507813zm0 0" fill="#51da18"/><path d="m250.726562 242.78125c0-7.488281 4.328126-13.949219 10.613282-17.0625-1.742188-.128906-3.492188-.21875-5.265625-.21875-21.683594 0-41.058594 9.84375-53.921875 25.300781-2.484375 2.980469-.390625 7.507813 3.488281 7.507813h53.121094c-4.859375-3.453125-8.035157-9.113282-8.035157-15.527344zm0 0" fill="#00c82f"/><path d="m145.378906 313.410156c-5.140625-7.292968-15.242187-8.882812-22.359375-3.589844-15.445312 11.484376-44.140625 14.1875-65.078125 7.078126 13.796875 9.410156 6.050782 31.261718-10.765625 29.597656 30.835938 10.789062 69.9375 6.617187 93.992188-10.777344 7.054687-5.101562 9.226562-15.191406 4.210937-22.308594zm0 0" fill="#00c82f"/><path d="m366.621094 313.410156c5.140625-7.292968 15.242187-8.882812 22.359375-3.589844 22.367187 16.628907 72.550781 14.859376 86.664062-8.5 6.261719-10.359374 5.277344-23.890624 2.054688-36.558593-2.074219-8.15625 2.515625-16.519531 10.546875-19.042969 8.566406-2.691406 17.695312 2.277344 19.980468 10.957031 4.679688 17.773438 7.082032 40.144531-5.523437 61-24.421875 40.40625-95.425781 44.394531-131.867187 18.039063-7.058594-5.097656-9.230469-15.1875-4.214844-22.304688zm0 0" fill="#51da18"/><path d="m366.621094 313.410156c5.140625-7.292968 15.242187-8.882812 22.359375-3.589844 15.445312 11.484376 44.140625 14.1875 65.078125 7.078126-13.796875 9.410156-6.050782 31.261718 10.765625 29.597656-30.835938 10.789062-69.9375 6.617187-93.992188-10.777344-7.054687-5.101562-9.226562-15.191406-4.210937-22.308594zm0 0" fill="#00c82f"/></svg>
\ No newline at end of file
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/Space/027-satellite.svg b/src/backend/base/langflow/initial_setup/profile_pictures/Space/027-satellite.svg
new file mode 100644
index 00000000000..2b3d7552642
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/Space/027-satellite.svg
@@ -0,0 +1 @@
+<svg height="511pt" viewBox="-5 1 511 511.99966" width="511pt" xmlns="http://www.w3.org/2000/svg"><path d="m245.5 22c-135.308594 0-245 109.6875-245 245 0 78.3125 36.742188 148.039062 93.929688 192.890625l19.75 13.96875c30.035156 19.105469 64.511718 31.847656 101.535156 36.335937l24.980468 1.742188c1.597657.03125 3.199219.0625 4.804688.0625 11.335938 0 22.492188-.789062 33.417969-2.277344l24.851562-4.714844c107.175781-26.148437 186.730469-122.777343 186.730469-238.007812 0-135.3125-109.691406-245-245-245zm0 0" fill="#162680"/><path d="m202.390625 246.457031-35.980469 42.878907c-.421875.5-.816406 1.015624-1.199218 1.535156 11.601562-8.167969 27.667968-7.882813 39.050781 1.667968 11.609375 9.746094 14.570312 25.964844 8.042969 38.945313.652343-.652344 1.285156-1.332031 1.890624-2.050781l35.980469-42.882813zm0 0" fill="#4374d3"/><path d="m203.273438 291.78125 7.722656-9.207031c6.601562-7.867188 17.265625-10.28125 26.34375-6.792969l-34.949219-29.328125-35.980469 42.882813c-.421875.5-.816406 1.015624-1.203125 1.53125 11.277344-7.933594 26.753907-7.859376 38.066407.914062zm0 0" fill="#3957c9"/><path d="m342.777344 127.6875c-93.183594-78.195312-181.558594-126.289062-197.394532-107.417969-15.835937 18.867188 46.867188 97.554688 140.050782 175.75 93.183594 78.195313 181.558594 126.289063 197.394531 107.421875 15.832031-18.871094-46.871094-97.558594-140.050781-175.753906zm0 0" fill="#3957c9"/><path d="m145.375 20.253906c.257812-.308594.554688-.578125.835938-.867187-.296876.269531-.578126.558593-.835938.867187zm0 0" fill="#1d319b"/><path d="m342.777344 127.667969c-17.367188-14.570313-34.566406-28.097657-51.160156-40.339844 33.804687 35.707031 50.09375 71.507813 37.210937 86.863281-12.882813 15.351563-50.972656 5.523438-92.007813-21.566406 14.941407 14.214844 31.25 28.808594 48.617188 43.382812 93.1875 78.191407 181.570312 126.285157 197.402344 107.414063 15.835937-18.871094-46.871094-97.558594-140.0625-175.753906zm0 0" fill="#1d319b"/><path d="m303.765625 505.007812-94.648437-169.902343c-3.222657-5.792969-10.53125-7.867188-16.324219-4.644531-5.789063 3.226562-7.867188 10.53125-4.640625 16.320312l90.765625 162.941406c8.429687-1.152344 16.71875-2.730468 24.847656-4.714844zm0 0" fill="#b9e9fd"/><path d="m237.03125 409.46875c4.265625-2.371094 9.210938-2.347656 13.300781-.382812l-41.214843-73.984376c-3.222657-5.789062-10.53125-7.863281-16.324219-4.644531-5.789063 3.226563-7.867188 10.535157-4.640625 16.324219l41.496094 74.492188c.277343-4.773438 2.898437-9.304688 7.382812-11.804688zm0 0" fill="#83d3fc"/><path d="m177.09375 330.355469c-5.847656-3.121094-13.117188-.90625-16.234375 4.941406l-66.429687 124.589844c6.339843 4.972656 12.929687 9.632812 19.75 13.972656l67.859374-127.269531c3.117188-5.851563.902344-13.117188-4.945312-16.234375zm0 0" fill="#e0f9fe"/><path d="m177.09375 330.355469c-5.847656-3.121094-13.117188-.90625-16.234375 4.941406l-32.164063 60.324219c4.007813-2.886719 9.457032-3.445313 14.113282-.964844 4.652344 2.484375 7.226562 7.324219 7.0625 12.261719l32.164062-60.328125c3.121094-5.851563.90625-13.117188-4.941406-16.234375zm0 0" fill="#b9e9fd"/><path d="m246.609375 450.074219h-34c-4.96875 0-9-4.027344-9-9 0-4.96875 4.03125-9 9-9h34c4.96875 0 9 4.03125 9 9 0 4.972656-4.03125 9-9 9zm0 0" fill="#83d3fc"/><path d="m201.90625 450.074219h-72.902344c-4.96875 0-9-4.027344-9-9 0-4.96875 4.03125-9 9-9h72.902344c4.972656 0 9 4.03125 9 9 0 4.972656-4.027344 9-9 9zm0 0" fill="#b9e9fd"/><path d="m482.832031 319.621094c-3.675781 0-7.371093-1.242188-10.40625-3.789063-6.234375-5.234375-7.535156-14.160156-3.394531-20.890625-.414062-3.492187-4.050781-18.679687-34.808594-55.367187-25.566406-30.496094-61.742187-65.832031-101.859375-99.496094-40.117187-33.660156-81.195312-63.152344-115.667969-83.03125-41.472656-23.917969-57.058593-24.851563-60.574218-24.667969-5.910156 5.25-14.925782 5.515625-21.160156.285156-6.851563-5.75-7.746094-15.96875-1.996094-22.824218 13.914062-16.578125 42.460937-12.292969 89.847656 13.492187 38.203125 20.789063 84.507812 53.4375 130.378906 91.925781 45.871094 38.492188 86.0625 78.421876 113.171875 112.4375 33.621094 42.1875 42.800781 69.558594 28.886719 86.140626-3.203125 3.816406-7.796875 5.785156-12.417969 5.785156zm0 0" fill="#4374d3"/><path d="m285.4375 196.003906c-78.292969-65.691406-135.058594-131.726562-141.820312-162.351562-24.265626 66.691406-2.375 151.035156 58.136718 214.476562l46.886719 39.339844c72.980469 48.574219 159.84375 55.488281 221.3125 20.011719-31.335937-1.34375-106.226563-45.78125-184.515625-111.476563zm0 0" fill="#83d3fc"/><path d="m276.558594 188.472656c-73.675782-63.15625-126.4375-125.367187-132.941406-154.820312-24.265626 66.691406-2.375 151.035156 58.136718 214.476562l33.308594 27.949219c-3.011719-12.992187 13.164062-46.300781 41.496094-87.605469zm0 0" fill="#61b6ff"/><path d="m180.246094 105.691406c-1.511719-4.734375 1.101562-9.796875 5.835937-11.308594l238.621094-76.183593c4.738281-1.515625 9.800781 1.097656 11.3125 5.835937 1.511719 4.734375-1.101563 9.796875-5.835937 11.308594l-238.621094 76.183594c-4.761719 1.519531-9.808594-1.125-11.3125-5.835938zm0 0" fill="#face7a"/><path d="m282.773438 69.703125c0-2.671875.964843-5.117187 2.566406-7.011719l-99.257813 31.691406c-4.734375 1.511719-7.347656 6.574219-5.835937 11.308594 1.503906 4.710938 6.550781 7.355469 11.3125 5.835938l98.675781-31.503906c-4.332031-1.433594-7.460937-5.507813-7.460937-10.320313zm0 0" fill="#fbb362"/><path d="m416.21875 223.898438c-4.960938-.285157-8.757812-4.535157-8.472656-9.5l10.710937-188.140626c.28125-4.960937 4.539063-8.726562 9.496094-8.472656 4.960937.285156 8.757813 4.535156 8.472656 9.5l-10.710937 188.136719c-.277344 4.910156-4.464844 8.746094-9.496094 8.476563zm0 0" fill="#face7a"/><path d="m422.085938 135.972656c-4.125 0-7.710938-2.296875-9.554688-5.675781l-4.785156 84.101563c-.285156 4.964843 3.507812 9.214843 8.472656 9.5 5.03125.269531 9.21875-3.566407 9.496094-8.476563l4.75-83.394531c-1.996094 2.410156-5.007813 3.945312-8.378906 3.945312zm0 0" fill="#fbb362"/><path d="m320.832031 235.585938c-4.457031-2.203126-6.285156-7.601563-4.082031-12.058594l94.3125-190.839844c2.199219-4.453125 7.597656-6.285156 12.054688-4.082031 4.457031 2.203125 6.285156 7.601562 4.082031 12.058593l-94.3125 190.839844c-2.191407 4.433594-7.578125 6.292969-12.054688 4.082032zm0 0" fill="#face7a"/><path d="m371.976562 142.972656c-5.507812 0-10.046874-4.097656-10.765624-9.410156l-44.460938 89.964844c-2.203125 4.457031-.375 9.855468 4.082031 12.058594 4.476563 2.214843 9.863281.351562 12.054688-4.082032l44.457031-89.957031c-1.585938.902344-3.414062 1.425781-5.367188 1.425781zm0 0" fill="#fbb362"/><path d="m275.023438 208.417969c-42.164063-35.382813-177.605469-156.214844-142.058594-198.578125 5.753906-6.851563 15.96875-7.746094 22.824218-1.996094 6.234376 5.230469 7.539063 14.160156 3.394532 20.886719.414062 3.496093 4.054687 18.679687 34.808594 55.371093 25.566406 30.496094 61.742187 65.832032 101.859374 99.496094 40.117188 33.660156 81.195313 63.148438 115.671876 83.03125 41.464843 23.917969 57.054687 24.878906 60.570312 24.667969 5.910156-5.25 14.925781-5.515625 21.160156-.285156 6.855469 5.75 7.75 15.96875 1.996094 22.824219-35.546875 42.363281-177.515625-69.582032-220.226562-105.417969zm0 0" fill="#61b6ff"/><path d="m442.691406 7.914062c-9.75-8.183593-24.285156-6.910156-32.46875 2.839844s-6.910156 24.285156 2.839844 32.46875 24.285156 6.910156 32.46875-2.839844 6.910156-24.285156-2.839844-32.46875zm0 0" fill="#fc7acd"/><path d="m448.289062 14.863281c1.398438 4.597657.53125 9.785157-2.789062 13.738281-5.21875 6.21875-14.492188 7.03125-20.710938 1.8125s-7.027343-14.492187-1.8125-20.710937c3.875-4.613281 9.980469-6.242187 15.414063-4.644531-9.359375-4.816406-21.125-2.726563-28.175781 5.675781-8.179688 9.75-6.910156 24.289063 2.84375 32.472656 9.75 8.179688 24.289062 6.910157 32.46875-2.839843 6.1875-7.375 6.960937-17.476563 2.761718-25.503907zm0 0" fill="#f948b4"/><path d="m202.671875 341.292969c-1.441406-6.46875-7.855469-10.546875-14.324219-9.105469s-10.542968 7.855469-9.101562 14.324219l36.46875 163.683593c8.207031.992188 16.539062 1.582032 24.976562 1.742188zm0 0" fill="#e0f9fe"/><path d="m207.460938 415.222656c4.816406-1.074218 9.605468.695313 12.617187 4.1875l-17.40625-78.117187c-1.441406-6.46875-7.855469-10.546875-14.324219-9.105469s-10.542968 7.855469-9.101562 14.324219l18.101562 81.25c.035156-5.898438 4.113282-11.203125 10.113282-12.539063zm0 0" fill="#b9e9fd"/><path d="m206.042969 290.621094c-14.023438-11.769532-34.9375-9.941406-46.707031 4.085937-11.769532 14.027344-9.941407 34.9375 4.085937 46.710938 14.023437 11.769531 34.9375 9.941406 46.707031-4.085938 11.769532-14.027343 9.941406-34.9375-4.085937-46.710937zm0 0" fill="#5294e5"/><path d="m203.003906 335.269531c-.175781-2.226562-1.652344-4.121093-3.796875-4.738281-22.949219-6.617188-25.4375-24.054688-25.332031-31.921875.03125-2.171875-1.265625-4.144531-3.28125-4.953125-2.742188-1.101562-4.382812-2.714844-5.328125-4.480469-2.144531 1.558594-4.136719 3.398438-5.917969 5.519531-11.769531 14.027344-9.941406 34.9375 4.085938 46.710938 12.429687 10.429688 30.261718 10.171875 42.351562.21875-1.953125-1.976562-2.621094-4.386719-2.78125-6.355469zm0 0" fill="#4374d3"/><path d="m184.710938 358.144531c-9.566407 0-19.179688-3.230469-27.0625-9.84375-17.804688-14.941406-20.136719-41.585937-5.199219-59.390625 14.945312-17.804687 41.585937-20.136718 59.390625-5.195312 17.808594 14.941406 20.136718 41.585937 5.195312 59.390625-8.324218 9.921875-20.285156 15.039062-32.324218 15.039062zm.050781-66.28125c-6.898438 0-13.75 2.933594-18.523438 8.617188-8.558593 10.203125-7.222656 25.46875 2.980469 34.03125s25.46875 7.226562 34.027344-2.976563c8.5625-10.203125 7.226562-25.46875-2.976563-34.03125-4.515625-3.789062-10.027343-5.640625-15.507812-5.640625zm0 0" fill="#61b6ff"/><g fill="#5294e5"><path d="m215.050781 345.292969c-9.585937-.839844-11.742187-6.242188-12.046875-10.023438-.070312-.921875-.378906-1.78125-.855468-2.523437-8.71875 9.078125-23.148438 9.972656-32.929688 1.765625-10.203125-8.5625-11.539062-23.828125-2.980469-34.03125 1.851563-2.203125 4.019531-3.992188 6.378907-5.359375-.539063-.628906-1.21875-1.144532-2.023438-1.464844-9.96875-4-5.472656-14.796875-5.390625-14.996094-4.75 2.476563-9.101563 5.898438-12.753906 10.25-14.9375 17.808594-12.609375 44.449219 5.195312 59.390625 7.886719 6.613281 17.5 9.84375 27.0625 9.84375 11.117188 0 22.160157-4.371093 30.34375-12.851562zm0 0"/><path d="m289.660156 178.359375c-37.636718-32.070313-71.425781-65.335937-95.667968-94.257813-30.757813-36.691406-34.394532-51.875-34.808594-55.371093 4.144531-6.726563 2.839844-15.65625-3.394532-20.886719-6.855468-5.75-17.070312-4.859375-22.824218 1.996094-33.738282 40.210937 86.5625 151.109375 134.9375 192.535156-3.582032-13.523438 7.878906-26.25 21.757812-24.015625zm0 0"/></g></svg>
\ No newline at end of file
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/Space/028-alien.svg b/src/backend/base/langflow/initial_setup/profile_pictures/Space/028-alien.svg
new file mode 100644
index 00000000000..d9de6b16905
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/Space/028-alien.svg
@@ -0,0 +1 @@
+<svg height="512pt" viewBox="-11 0 512 512" width="512pt" xmlns="http://www.w3.org/2000/svg"><path d="m437.574219 418.472656c32.832031-41.6875 52.425781-94.292968 52.425781-151.472656 0-135.308594-109.691406-245-245-245s-245 109.6875-245 245c0 57.183594 19.59375 109.785156 52.425781 151.472656zm0 0" fill="#162680"/><path d="m434.550781 413.488281c-27.125-23.183593-60.039062-17.160156-105.445312-30.738281-11.972657-3.578125-20.332031-8.375-26.160157-13.128906l-2.101562 3.800781c-25.179688 45.46875-90.550781 45.46875-115.730469 0l-.902343-1.632813c-5.613282 4.015626-13.167969 7.925782-23.316407 10.960938-45.40625 13.578125-78.320312 7.554688-105.445312 30.738281-1.34375 1.152344-2.605469 2.492188-3.796875 3.984375 44.832031 57.523438 114.765625 94.527344 193.347656 94.527344s148.515625-37.003906 193.347656-94.527344c-1.191406-1.492187-2.453125-2.832031-3.796875-3.984375zm0 0" fill="#51da18"/><path d="m200.421875 457.140625c-5.121094-10.9375 8.6875-13.429687 8.6875-13.429687 21.851563-8.859376 29.648437-24.921876 32.40625-36.210938-22.144531-.480469-44.082031-11.835938-56.402344-34.082031l-.902343-1.628907c-5.617188 4.015626-13.167969 7.925782-23.316407 10.960938-45.40625 13.578125-78.320312 7.550781-105.445312 30.738281-1.34375 1.148438-2.605469 2.488281-3.796875 3.984375 22.15625 28.429688 50.453125 51.835938 82.890625 68.25 19.625-23.25 65.878906-28.582031 65.878906-28.582031zm0 0" fill="#00c82f"/><path d="m389.9375 143.800781c-.011719-.003906-.023438-.011719-.03125-.015625-1.84375-.859375-3.023438-2.699218-3.222656-4.722656-7.789063-78.183594-69.019532-139.0625-143.417969-139.0625-74.304687 0-135.480469 60.734375-143.386719 138.78125-.207031 2.039062-1.425781 3.839844-3.269531 4.742188-.160156.078124-.320313.15625-.484375.230468-12.175781 5.617188-20.683594 17.949219-20.683594 32.179688v30.101562c0 14.042969 8.285156 26.242188 20.203125 31.960938 5.175781 2.480468 9.328125 6.699218 11.601563 11.964844 4.40625 10.21875 9.929687 19.839843 16.421875 28.710937 19.894531 27.1875 38.445312 55.332031 54.765625 84.804687l6.679687 12.070313c25.179688 45.46875 90.550781 45.46875 115.730469 0l7.484375-13.523437c16.050781-28.980469 34.371094-56.59375 53.941406-83.320313 6.5-8.882813 12.035157-18.515625 16.445313-28.75 2.269531-5.265625 6.429687-9.476563 11.597656-11.957031 11.921875-5.71875 20.203125-17.917969 20.203125-31.960938v-30.101562c0-14.1875-8.457031-26.496094-20.578125-32.132813zm0 0" fill="#a2ec00"/><path d="m256.320312.636719c-4.300781-.417969-8.652343-.636719-13.054687-.636719-74.304687 0-135.480469 60.734375-143.386719 138.78125-.207031 2.039062-1.425781 3.839844-3.269531 4.742188-.160156.078124-.320313.15625-.484375.230468-12.175781 5.617188-20.683594 17.949219-20.683594 32.179688v30.105468c0 14.039063 8.285156 26.242188 20.203125 31.957032 5.175781 2.484375 9.328125 6.699218 11.601563 11.96875 4.402344 10.214844 9.929687 19.839844 16.421875 28.707031 19.894531 27.1875 38.445312 55.332031 54.765625 84.804687l6.679687 12.070313c13.898438 25.09375 40.035157 36.332031 64.902344 33.726563-37.4375-9.125-24.109375-38.355469-45.933594-79.3125-17.367187-32.582032-9.246093-56.601563-4.945312-65.433594.929687-1.902344.464843-4.121094-.984375-5.664063-1.589844-1.695312-1.714844-3.761719-1.472656-5.359375.25-1.613281-.296876-3.269531-1.503907-4.363281-6.953125-6.316406-6.21875-14.191406-5.023437-18.613281.550781-2.042969-.257813-4.195313-2.003906-5.390625-16.597657-11.371094-12.546876-30.269531-10.617188-36.535157.414062-1.351562.1875-2.808593-.539062-4.023437-9.304688-15.496094 5.476562-22.917969 5.476562-22.917969 12.253906-8.171875 2.410156-21.832031 2.410156-21.832031-33.589844-114.359375 71.441406-139.191406 71.441406-139.191406zm0 0" fill="#00c82f"/><path d="m259.53125 492.238281c-4.367188 0-7.910156-3.542969-7.910156-7.914062 0-21.074219 14.320312-39.195313 34.824218-44.066407l37.898438-8.996093c4.25-1.011719 8.515625 1.617187 9.523438 5.871093 1.011718 4.25-1.617188 8.515626-5.867188 9.523438l-37.894531 9c-13.339844 3.167969-22.660157 14.957031-22.660157 28.667969 0 4.371093-3.542968 7.914062-7.914062 7.914062zm0 0" fill="#00c82f"/><path d="m226.425781 492.238281c-4.371093 0-7.914062-3.542969-7.914062-7.914062 0-13.710938-9.316407-25.5-22.65625-28.667969l-37.894531-9c-4.253907-1.007812-6.882813-5.273438-5.871094-9.523438 1.007812-4.253906 5.273437-6.882812 9.527344-5.871093l37.894531 9c20.503906 4.867187 34.828125 22.988281 34.828125 44.066406 0 4.367187-3.542969 7.910156-7.914063 7.910156zm0 0" fill="#00c82f"/><path d="m209.109375 443.710938c-3.007813-1.480469-6.214844-2.648438-9.597656-3.453126l-37.894531-8.996093c-4.253907-1.011719-8.519532 1.617187-9.527344 5.871093-1.011719 4.25 1.621094 8.515626 5.871094 9.523438l37.894531 9c1.578125.375 3.097656.878906 4.554687 1.488281.003906 0 .015625-.003906.015625-.003906-5.125-10.9375 8.683594-13.429687 8.683594-13.429687zm0 0" fill="#04ad24"/><path d="m266.691406 323.847656c-.050781 0-5.097656-.109375-9.410156-2.535156-2.125-1.195312-4.6875-1.339844-6.933594-.394531l-5.347656 2.257812-5.347656-2.257812c-2.246094-.949219-4.808594-.804688-6.933594.394531-4.269531 2.402344-9.257812 2.53125-9.457031 2.535156-4.332031.023438-7.839844 3.546875-7.839844 7.886719 0 4.355469 3.53125 7.886719 7.886719 7.886719.78125 0 6.851562-.089844 13.472656-2.792969l5.152344 2.171875c1.976562.835938 4.160156.835938 6.128906 0l5.152344-2.171875c6.621094 2.703125 12.691406 2.792969 13.472656 2.792969 4.355469 0 7.886719-3.53125 7.886719-7.886719.003906-4.355469-3.527344-7.886719-7.882813-7.886719zm0 0" fill="#00c82f"/><path d="m351.074219 161.863281c-16.417969-14.144531-47.53125-4.941406-69.5 20.558594-21.964844 25.496094-26.464844 57.628906-10.050781 71.773437 16.417968 14.140626 47.53125 4.9375 69.5-20.558593 21.964843-25.496094 26.464843-57.632813 10.050781-71.773438zm0 0" fill="#d7f9b7"/><path d="m337.441406 224.671875c0-22.738281-18.429687-41.167969-41.167968-41.167969-7.019532 0-13.628907 1.757813-19.410157 4.859375-17.804687 24.351563-20.5 52.761719-5.335937 65.824219 14.769531 12.722656 41.4375 6.539062 62.636718-13.402344 2.109376-4.949218 3.277344-10.394531 3.277344-16.113281zm0 0" fill="#4374d3"/><path d="m208.421875 182.402344c-21.96875-25.496094-53.082031-34.703125-69.5-20.558594-16.414063 14.144531-11.914063 46.277344 10.050781 71.773438 21.96875 25.5 53.082032 34.703124 69.5 20.558593 16.414063-14.140625 11.914063-46.277343-10.050781-71.773437zm0 0" fill="#d7f9b7"/><path d="m199.339844 260.816406c-.246094-.707031-.648438-1.378906-1.1875-1.953125-1.589844-1.691406-1.714844-3.761719-1.46875-5.359375.246094-1.613281-.300782-3.265625-1.507813-4.363281-6.953125-6.316406-6.21875-14.191406-5.023437-18.609375.550781-2.046875-.257813-4.195312-2.003906-5.394531-16.597657-11.371094-12.542969-30.269531-10.617188-36.53125.414062-1.355469.191406-2.8125-.539062-4.027344-9.304688-15.496094 5.476562-22.917969 5.476562-22.917969-16.367188-8.328125-32.992188-8.898437-43.542969.191406-16.417969 14.144532-11.917969 46.277344 10.046875 71.777344 15.050782 17.46875 34.398438 27.285156 50.367188 27.1875zm0 0" fill="#8fe98a"/><path d="m152.558594 224.671875c0-22.738281 18.429687-41.167969 41.167968-41.167969 7.019532 0 13.628907 1.757813 19.410157 4.859375 17.804687 24.351563 20.5 52.761719 5.335937 65.824219-14.773437 12.722656-41.441406 6.539062-62.636718-13.402344-2.109376-4.949218-3.277344-10.394531-3.277344-16.113281zm0 0" fill="#4374d3"/><path d="m199.335938 260.8125c-.242188-.707031-.644532-1.375-1.183594-1.949219-1.589844-1.691406-1.714844-3.761719-1.46875-5.359375.246094-1.613281-.300782-3.265625-1.507813-4.363281-6.953125-6.316406-6.21875-14.191406-5.023437-18.609375.550781-2.046875-.257813-4.195312-2.003906-5.394531-16.597657-11.371094-12.542969-30.269531-10.617188-36.53125.1875-.613281.238281-1.246094.175781-1.871094-14.777343 6.25-25.148437 20.882813-25.148437 37.9375 0 5.71875 1.167968 11.167969 3.277344 16.117187 13.78125 12.960938 29.867187 20.101563 43.5 20.023438zm0 0" fill="#3957c9"/><path d="m204.082031 239.804688c0 7.007812-5.683593 12.6875-12.691406 12.6875s-12.691406-5.679688-12.691406-12.6875c0-7.011719 5.683593-12.691407 12.691406-12.691407s12.691406 5.679688 12.691406 12.691407zm0 0" fill="#61b6ff"/><g fill="#00c82f"><path d="m195.082031 83.304688c0 7.007812-5.683593 12.6875-12.691406 12.6875s-12.691406-5.679688-12.691406-12.6875c0-7.011719 5.683593-12.691407 12.691406-12.691407s12.691406 5.679688 12.691406 12.691407zm0 0"/><path d="m239.105469 72.804688c0 7.007812-5.679688 12.6875-12.691407 12.6875-7.007812 0-12.691406-5.679688-12.691406-12.6875 0-7.011719 5.683594-12.691407 12.691406-12.691407 7.011719 0 12.691407 5.679688 12.691407 12.691407zm0 0"/><path d="m180.492188 467.835938c0 7.007812-5.683594 12.6875-12.691407 12.6875-7.007812 0-12.691406-5.679688-12.691406-12.6875 0-7.011719 5.683594-12.691407 12.691406-12.691407 7.007813 0 12.691407 5.679688 12.691407 12.691407zm0 0"/><path d="m159.246094 496.550781c1.84375-3.1875 2.90625-6.878906 2.90625-10.824219 0-11.953124-9.691406-21.644531-21.644532-21.644531-9.199218 0-17.050781 5.742188-20.183593 13.832031 12.320312 7.300782 25.335937 13.554688 38.921875 18.636719zm0 0"/><path d="m191.390625 123.804688c0 7.007812-5.683594 12.6875-12.691406 12.6875-7.007813 0-12.691407-5.679688-12.691407-12.6875 0-7.011719 5.683594-12.691407 12.691407-12.691407 7.007812 0 12.691406 5.679688 12.691406 12.691407zm0 0"/><path d="m208.660156 50.566406c0 12.28125-9.953125 22.234375-22.234375 22.234375s-22.234375-9.953125-22.234375-22.234375 9.953125-22.234375 22.234375-22.234375 22.234375 9.953125 22.234375 22.234375zm0 0"/></g><path d="m271.527344 254.1875c10.234375 8.816406 26.1875 8.546875 42.070312.917969-6.941406-.003907-5.082031-7.375-5.082031-7.375l-9.90625-20.617188c-25.9375-9.050781-21.746094-38.75-21.746094-38.75-17.804687 24.351563-20.5 52.761719-5.335937 65.824219zm0 0" fill="#3957c9"/><path d="m311.300781 239.804688c0 7.007812-5.683593 12.6875-12.691406 12.6875s-12.691406-5.679688-12.691406-12.6875c0-7.011719 5.683593-12.691407 12.691406-12.691407s12.691406 5.679688 12.691406 12.691407zm0 0" fill="#61b6ff"/></svg>
\ No newline at end of file
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/Space/029-telescope.svg b/src/backend/base/langflow/initial_setup/profile_pictures/Space/029-telescope.svg
new file mode 100644
index 00000000000..9fdb0bcd5f9
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/Space/029-telescope.svg
@@ -0,0 +1 @@
+<svg height="512pt" viewBox="-5 0 512 512.00007" width="512pt" xmlns="http://www.w3.org/2000/svg"><path d="m245 22c-117.609375 0-215.847656 82.875-239.539062 193.410156l-3.5 82.703125c11.550781 91.152344 73.195312 166.667969 156.46875 198.132813l29.449218 9.039062c13.765625 3.289063 27.984375 5.414063 42.546875 6.269532l30.761719-.101563c14.523438-.945313 28.695312-3.15625 42.417969-6.527344l29.378906-9.21875c91.839844-35.351562 157.015625-124.410156 157.015625-228.707031 0-135.308594-109.6875-245-245-245zm0 0" fill="#9d4ad3"/><path d="m245.808594 385.167969c-8.496094 0-15.382813 6.886719-15.382813 15.378906v111.007813c4.824219.285156 9.679688.445312 14.574219.445312 5.441406 0 10.835938-.195312 16.1875-.546875v-110.90625c0-8.492187-6.886719-15.378906-15.378906-15.378906zm0 0" fill="#e0f9fe"/><path d="m261.1875 439.960938v-39.414063c0-8.492187-6.886719-15.378906-15.382812-15.378906-8.492188 0-15.378907 6.886719-15.378907 15.378906v39.414063c6.257813-12.820313 24.496094-12.835938 30.761719 0zm0 0" fill="#b9e9fd"/><path d="m198.425781 387.683594c-.667969 1-1.242187 2.085937-1.671875 3.269531l-38.324218 105.292969c9.546874 3.609375 19.375 6.636718 29.449218 9.042968l37.78125-103.816406c.644532-1.761718.925782-3.566406.914063-5.339844h-12.125c-6.652344 0-12.523438-3.351562-16.023438-8.449218zm0 0" fill="#e0f9fe"/><path d="m214.449219 396.132812c-6.652344 0-12.523438-3.351562-16.023438-8.449218-.667969 1-1.242187 2.085937-1.671875 3.269531l-16.058594 44.113281c10.285157-9.804687 27.453126-3.496094 28.847657 10.695313l16.117187-44.289063c.644532-1.761718.925782-3.566406.914063-5.339844zm0 0" fill="#b9e9fd"/><path d="m294.859375 390.953125c-.429687-1.183594-1.003906-2.269531-1.671875-3.269531-3.5 5.097656-9.371094 8.449218-16.023438 8.449218h-12.125c-.011718 1.773438.269532 3.578126.910157 5.339844l37.65625 103.453125c10.050781-2.464843 19.859375-5.550781 29.382812-9.214843zm0 0" fill="#e0f9fe"/><path d="m311.1875 435.820312-16.328125-44.867187c-.429687-1.183594-1.003906-2.269531-1.671875-3.269531-3.5 5.097656-9.371094 8.449218-16.023438 8.449218h-12.125c-.011718 1.773438.269532 3.578126.910157 5.339844l15.792969 43.382813c2.160156-14.171875 19.734374-19.5 29.445312-9.035157zm0 0" fill="#b9e9fd"/><path d="m261.1875 347.210938v-75.714844c-4.621094 2.339844-9.84375 3.667968-15.378906 3.667968-5.539063 0-10.761719-1.328124-15.382813-3.667968v75.714844zm0 0" fill="#5294e5"/><path d="m245.625 295.328125h.183594.179687c6.757813-.03125 12.609375 3.914063 15.199219 9.667969v-33.5c-4.621094 2.339844-9.84375 3.667968-15.378906 3.667968-5.539063 0-10.761719-1.328124-15.382813-3.667968v33.5c2.589844-5.753906 8.441407-9.699219 15.199219-9.667969zm0 0" fill="#4374d3"/><path d="m63.492188 194.289062-58.03125 21.121094c-3.566407 16.636719-5.460938 33.890625-5.460938 51.589844 0 10.539062.667969 20.925781 1.957031 31.113281 3.039063 2.617188 7.359375 3.566407 11.394531 2.097657l78.316407-28.503907zm0 0" fill="#b9e9fd"/><path d="m32.480469 229.628906 12.660156 34.777344c3.152344 8.664062 1.929687 17.851562-2.527344 25.15625l49.054688-17.855469-28.175781-77.417969-48.855469 17.78125c7.996093 2.773438 14.722656 8.988282 17.84375 17.558594zm0 0" fill="#83d3fc"/><path d="m172.84375 233.667969c-4.652344-12.78125 1.9375-26.914063 14.722656-31.566407l77.339844-28.148437c12.78125-4.652344 26.914062 1.9375 31.566406 14.71875l7.734375 21.253906 83.417969-30.363281-38.1875-104.925781-284.589844 103.582031c-5.4375 1.980469-8.238281 7.988281-6.261718 13.425781l31.023437 85.242188c1.980469 5.433593 7.988281 8.238281 13.425781 6.257812l77.542969-28.222656zm0 0" fill="#e0f9fe"/><path d="m58.585938 191.644531 31.023437 85.242188c1.980469 5.433593 7.988281 8.238281 13.425781 6.257812l77.542969-28.222656-7.734375-21.253906c-4.652344-12.785157 1.9375-26.914063 14.722656-31.566407l32.875-11.96875c-.808594-1.152343-2.09375-1.960937-3.605468-2.042968-7.859376-.441406-10.0625-8.882813-10.0625-8.882813s-5.667969-15.046875-11.332032-30.378906c-5.667968-15.335937 5.492188-20.140625 5.492188-20.140625l-136.085938 49.53125c-5.4375 1.980469-8.238281 7.988281-6.261718 13.425781zm0 0" fill="#b9e9fd"/><path d="m403.308594 198.195312 68.15625-24.808593-53.835938-147.910157-68.15625 24.804688c-5.523437 2.011719-8.371094 8.121094-6.359375 13.644531l46.554688 127.90625c2.007812 5.523438 8.117187 8.375 13.640625 6.363281zm0 0" fill="#5294e5"/><path d="m380.777344 122.277344 63.652344-23.167969-26.800782-73.632813-68.15625 24.804688c-5.523437 2.011719-8.371094 8.121094-6.359375 13.644531l26.902344 73.921875c-.074219-6.753906 4.050781-13.128906 10.761719-15.570312zm0 0" fill="#4374d3"/><path d="m492.007812 188.191406c-7.980468 2.902344-16.808593-1.210937-19.714843-9.195312l-57.632813-158.347656c-2.90625-7.984376 1.207032-16.808594 9.191406-19.714844 7.984376-2.90625 16.808594 1.207031 19.714844 9.191406l57.636719 158.351562c2.902344 7.980469-1.210937 16.808594-9.195313 19.714844zm0 0" fill="#61b6ff"/><path d="m492.007812 188.191406c-7.980468 2.902344-16.808593-1.210937-19.714843-9.195312l-57.632813-158.347656c-2.90625-7.984376 1.207032-16.808594 9.191406-19.714844 7.984376-2.90625 16.808594 1.207031 19.714844 9.191406l57.636719 158.351562c2.902344 7.980469-1.210937 16.808594-9.195313 19.714844zm0 0" fill="#83d3fc"/><path d="m455.015625 85.777344c6.199219-2.253906 12.84375-.667969 17.371094 3.527344l-28.820313-79.179688c-2.90625-7.984375-11.730468-12.097656-19.714844-9.191406-7.984374 2.90625-12.097656 11.730468-9.191406 19.714844l29.195313 80.210937c.347656-6.601563 4.554687-12.675781 11.160156-15.082031zm0 0" fill="#61b6ff"/><path d="m307.171875 211.699219-9.132813-25.09375c-4.777343-13.128907-19.296874-19.898438-32.421874-15.121094l-79.4375 28.914063c-13.128907 4.777343-19.898438 19.292968-15.121094 32.421874l9.136718 25.097657c2 5.496093 8.078126 8.332031 13.578126 6.332031l22.300781-8.117188c-1.675781-3.90625-2.605469-8.203124-2.605469-12.714843 0-17.828125 14.507812-32.339844 32.339844-32.339844 14.574218 0 26.921875 9.695313 30.949218 22.96875l24.082032-8.765625c5.5-2.003906 8.332031-8.082031 6.332031-13.582031zm0 0" fill="#b9e9fd"/><path d="m232.609375 213.90625c-.289063-1.625-1.375-3.042969-2.984375-3.707031-8.203125-3.378907-8.980469-11.144531-8.316406-16.746094.246094-2.070313-.890625-4-2.652344-4.875l-32.476562 11.820313c-13.128907 4.777343-19.898438 19.292968-15.121094 32.421874l9.136718 25.09375c2 5.5 8.078126 8.335938 13.578126 6.332032l22.300781-8.117188c-1.675781-3.902344-2.605469-8.199218-2.605469-12.710937 0-13.132813 7.871094-24.453125 19.140625-29.511719zm0 0" fill="#83d3fc"/><path d="m277.164062 400.878906h-62.714843c-10.730469 0-19.425781-8.699218-19.425781-19.425781v-34.242187h101.566406v34.238281c0 10.730469-8.695313 19.429687-19.425782 19.429687zm0 0" fill="#5294e5"/><path d="m235.6875 381.453125v-34.242187h-40.664062v34.242187c0 10.726563 8.695312 19.425781 19.425781 19.425781h40.667969c-10.730469 0-19.429688-8.699218-19.429688-19.425781zm0 0" fill="#4374d3"/><path d="m296.589844 356.703125h-101.566406c-6.554688 0-11.867188-5.3125-11.867188-11.867187 0-6.554688 5.3125-11.867188 11.867188-11.867188h101.566406c6.554687 0 11.871094 5.316406 11.871094 11.867188 0 6.554687-5.316407 11.867187-11.871094 11.867187zm0 0" fill="#83d3fc"/><path d="m226.574219 344.835938c0-6.554688 5.3125-11.867188 11.867187-11.867188h-43.421875c-6.550781 0-11.867187 5.3125-11.867187 11.867188 0 6.554687 5.316406 11.867187 11.867187 11.867187h43.421875c-6.550781 0-11.867187-5.3125-11.867187-11.867187zm0 0" fill="#61b6ff"/><path d="m195.023438 380.570312h-35.554688c-4.914062 0-8.898438-3.984374-8.898438-8.898437 0-4.917969 3.984376-8.902344 8.898438-8.902344h35.554688c4.914062 0 8.898437 3.984375 8.898437 8.902344 0 4.914063-3.984375 8.898437-8.898437 8.898437zm0 0" fill="#83d3fc"/><path d="m166.507812 397.914062c-5.117187 0-9.261718-4.148437-9.261718-9.261718v-33.960938c0-5.117187 4.144531-9.261718 9.261718-9.261718 5.113282 0 9.261719 4.144531 9.261719 9.261718v33.960938c0 5.113281-4.148437 9.261718-9.261719 9.261718zm0 0" fill="#e0f9fe"/><path d="m166.507812 373.453125c-5.117187 0-9.261718-4.148437-9.261718-9.265625v24.464844c0 5.113281 4.144531 9.261718 9.261718 9.261718 5.113282 0 9.261719-4.148437 9.261719-9.261718v-24.460938c0 5.113282-4.148437 9.261719-9.261719 9.261719zm0 0" fill="#b9e9fd"/><path d="m279.925781 243.417969c0 18.84375-15.273437 34.117187-34.117187 34.117187s-34.121094-15.273437-34.121094-34.117187 15.277344-34.117188 34.121094-34.117188 34.117187 15.273438 34.117187 34.117188zm0 0" fill="#61b6ff"/><path d="m253.066406 255.761719c.25-2.066407-.8125-4.050781-2.671875-4.988281-7.386719-3.726563-8.710937-11.324219-8.839843-15.519532-.054688-1.710937-.9375-3.316406-2.425782-4.164062-7.234375-4.136719-7.386718-10.921875-6.523437-15.34375.242187-1.253906-.011719-2.492188-.632813-3.515625-11.949218 5.308593-20.285156 17.269531-20.285156 31.1875 0 18.84375 15.277344 34.117187 34.117188 34.117187 7.59375 0 14.605468-2.480468 20.273437-6.675781-12.636719-1.832031-13.597656-10.171875-13.011719-15.097656zm0 0" fill="#5294e5"/><path d="m245.808594 255.285156c-6.46875 0-11.871094-5.246094-11.871094-11.867187 0-7.402344 6.804688-13.121094 14.183594-11.632813 4.429687.832032 8.3125 4.371094 9.316406 9.316406 1.46875 7.222657-4.078125 14.183594-11.628906 14.183594zm0 0" fill="#b9e9fd"/></svg>
\ No newline at end of file
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/Space/030-books.svg b/src/backend/base/langflow/initial_setup/profile_pictures/Space/030-books.svg
new file mode 100644
index 00000000000..4cb73ec5109
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/Space/030-books.svg
@@ -0,0 +1 @@
+<svg height="512pt" viewBox="-11 0 512 512" width="512pt" xmlns="http://www.w3.org/2000/svg"><path d="m451.527344 398.851562c24.355468-38.066406 38.472656-83.308593 38.472656-131.851562 0-135.3125-109.691406-245-245-245s-245 109.691406-245 245c0 48.542969 14.121094 93.785156 38.472656 131.851562zm0 0" fill="#162680"/><path d="m442.015625 77.257812h-329.492187c-21.246094 0-38.628907-17.382812-38.628907-38.628906s17.382813-38.628906 38.628907-38.628906h329.488281c5.578125 0 10.140625 4.5625 10.140625 10.136719v56.984375c0 5.574218-4.5625 10.136718-10.136719 10.136718zm0 0" fill="#9d4ad3"/><path d="m252.304688 22.828125c-5.710938-.925781-10.074219-5.867187-10.074219-11.839844 0-4.910156 2.949219-9.125 7.167969-10.988281h-136.875c-21.246094 0-38.632813 17.382812-38.632813 38.628906s17.382813 38.628906 38.632813 38.628906h139.78125zm0 0" fill="#8634c6"/><path d="m424.136719 21.484375c1.222656-.558594.8125-2.394531-.53125-2.394531h-311.082031c-19.246094 0-35.320313 11.078125-38.179688 25.429687 2.859375 18.476563 18.933594 32.738281 38.179688 32.738281h317.742187c-15.117187-4.417968-25.949219-15.777343-25.949219-29.019531 0-11.371093 7.988282-21.359375 19.820313-26.753906zm0 0" fill="#f9ecc6"/><path d="m252.070312 19.097656c.273438-.007812.550782-.007812.828126-.007812h-140.375c-19.246094 0-35.320313 11.078125-38.179688 25.429687 2.859375 18.476563 18.933594 32.738281 38.179688 32.738281h140.375c-1.109376 0-2.203126-.046874-3.285157-.136718-36.378906-3.101563-34.050781-57.421875 2.457031-58.023438zm0 0" fill="#fadda0"/><path d="m424.136719 74.984375v-53.5c-11.832031 5.394531-19.820313 15.382813-19.820313 26.753906 0 11.371094 7.992188 21.355469 19.820313 26.746094zm0 0" fill="#fadda0"/><path d="m415.007812 177.117188v266.28125c14.117188-13.609376 26.605469-28.898438 37.144532-45.546876v-332.933593c0 5.578125-4.5625 10.140625-10.140625 10.140625h-329.488281c-20.507813 0-37.410157-16.199219-38.5625-36.429688h-.066407v71.402344c.492188-.015625.984375-.035156 1.484375-.035156h329.488282c5.578124 0 10.140624 4.5625 10.140624 10.136718zm0 0" fill="#c78fe8"/><path d="m112.523438 75.058594c-20.507813 0-37.410157-16.199219-38.5625-36.429688h-.066407v71.402344c.492188-.015625.984375-.035156 1.484375-.035156h151.597656c0-6.5 0-12.664063 0-17.472656 0-14.464844 8.109376-17.039063 11.722657-17.46875h-126.175781zm0 0" fill="#9d4ad3"/><path d="m115.644531 75.058594h29.726563v34.9375h-29.726563zm0 0" fill="#b26cde"/><path d="m202.390625 48.234375h-24.863281c-1.339844 0-2.429688 1.089844-2.429688 2.433594v24.386719h29.726563v-24.386719c0-1.34375-1.089844-2.433594-2.433594-2.433594zm0 0" fill="#fbb362"/><path d="m175.097656 75.058594h29.726563v34.9375h-29.726563zm0 0" fill="#face7a"/><path d="m405.96875 186.152344h-329.492188c-21.246093 0-38.628906-17.382813-38.628906-38.628906 0-21.246094 17.382813-38.628907 38.628906-38.628907h329.492188c5.578125 0 10.136719 4.5625 10.136719 10.136719v56.984375c0 5.578125-4.558594 10.136719-10.136719 10.136719zm0 0" fill="#5294e5"/><path d="m216.261719 131.722656c-5.710938-.925781-10.074219-5.867187-10.074219-11.839844 0-4.910156 2.949219-9.125 7.167969-10.988281h-136.878907c-21.246093 0-38.628906 17.382813-38.628906 38.628907 0 21.246093 17.382813 38.628906 38.628906 38.628906h139.785157zm0 0" fill="#4374d3"/><path d="m388.09375 130.378906c1.222656-.558594.8125-2.394531-.535156-2.394531h-311.082032c-19.242187 0-35.316406 11.078125-38.175781 25.429687 2.859375 18.476563 18.933594 32.738282 38.175781 32.738282h317.742188c-15.113281-4.417969-25.945312-15.777344-25.945312-29.015625-.003907-11.371094 7.988281-21.363281 19.820312-26.757813zm0 0" fill="#f9ecc6"/><path d="m216.023438 127.992188c.277343-.003907.550781-.007813.828124-.007813h-140.375c-19.242187 0-35.316406 11.078125-38.175781 25.429687 2.859375 18.476563 18.933594 32.738282 38.175781 32.738282h140.375c-1.105468 0-2.199218-.046875-3.285156-.136719-36.378906-3.101563-34.046875-57.417969 2.457032-58.023437zm0 0" fill="#fadda0"/><path d="m388.09375 183.882812v-53.503906c-11.832031 5.394532-19.824219 15.386719-19.824219 26.757813 0 11.367187 7.992188 21.351562 19.824219 26.746093zm0 0" fill="#fadda0"/><path d="m405.96875 183.953125h-329.492188c-20.503906 0-37.410156-16.195313-38.5625-36.429687h-.066406v250.328124c43.421875 68.597657 119.964844 114.148438 207.152344 114.148438 66.582031 0 126.949219-26.570312 171.105469-69.675781v-268.511719c0 5.578125-4.558594 10.140625-10.136719 10.140625zm0 0" fill="#61b6ff"/><path d="m190.933594 506.007812c0-107.699218 0-301.089843 0-304.585937 0-14.46875 8.105468-17.039063 11.722656-17.46875h-126.179688c-7.539062 0-14.589843-2.195313-20.550781-5.972656-9.746093-6.171875-16.578125-16.570313-17.855469-28.570313-.066406-.625-.117187-1.253906-.15625-1.886718h-.066406v250.328124c34.167969 53.980469 88.847656 93.683594 153.085938 108.15625zm0 0" fill="#5294e5"/><path d="m79.597656 447.730469c9.28125 8.496093 19.21875 16.285156 29.726563 23.289062v-287.066406h-29.726563zm0 0" fill="#61b6ff"/><path d="m166.347656 157.128906h-24.863281c-1.34375 0-2.433594 1.089844-2.433594 2.433594v24.390625h29.726563v-24.390625c0-1.34375-1.089844-2.433594-2.429688-2.433594zm0 0" fill="#f6159c"/><path d="m139.050781 183.953125v79.648437c0 1.734376 2.097657 2.601563 3.328125 1.375l10.160156-10.160156c.761719-.761718 1.992188-.761718 2.753907 0l10.160156 10.160156c1.226563 1.226563 3.324219.359376 3.324219-1.375v-79.648437zm0 0" fill="#f948b4"/><path d="m304.734375 325.078125c-4.550781 0-8.257813-3.6875-8.257813-8.253906 0-3.855469 2.664063-7.277344 6.636719-8.105469 5.035157-1.011719 9.875 2.855469 9.875 8.105469 0 4.519531-3.671875 8.253906-8.253906 8.253906zm0 0" fill="#f9ecc6"/><path d="m188.28125 497.5625c-4.605469 0-8.257812-3.738281-8.257812-8.257812 0-3.992188 2.902343-7.394532 6.640624-8.09375 4.960938-.996094 9.875 2.761718 9.875 8.09375 0 4.457031-3.632812 8.257812-8.257812 8.257812zm0 0" fill="#b9e9fd"/><path d="m256.15625 305.8125c-6.140625 0-11.007812-5.023438-11.007812-11.007812 0-6.890626 6.332031-12.175782 13.167968-10.800782 5.210938 1.058594 8.851563 5.609375 8.851563 10.800782 0 6.132812-5.019531 11.007812-11.011719 11.007812zm0 0" fill="#b9e9fd"/><path d="m269.597656 229.472656h-25.546875c-4.5625 0-8.257812-3.699218-8.257812-8.257812 0-4.5625 3.695312-8.257813 8.257812-8.257813h25.546875c4.558594 0 8.257813 3.695313 8.257813 8.257813 0 4.558594-3.699219 8.257812-8.257813 8.257812zm0 0" fill="#f9ecc6"/><path d="m155.390625 457.273438c-7.011719-12.144532 3.015625-34.015626 22.355469-48.753907 3.625-2.761719 8.808594-2.0625 11.574218 1.5625 2.761719 3.628907 2.0625 8.808594-1.5625 11.574219-15.242187 11.613281-18.90625 24.691406-18.027343 27.414062.601562.808594 4.902343 3.078126 17.277343 1.3125 4.515626-.644531 8.695313 2.496094 9.339844 7.011719.644532 4.511719-2.492187 8.695313-7.007812 9.339844-12.558594 1.789063-27.636719 1.472656-33.949219-9.460937zm14.363281-8.140626" fill="#fadda0"/><path d="m290.0625 352.28125c-1.765625-4.203125.207031-9.042969 4.414062-10.8125 12.714844-5.34375 25.417969-7.667969 35.761719-6.546875 4.535157.492187 7.808594 4.566406 7.316407 9.101563-.492188 4.53125-4.558594 7.820312-9.101563 7.316406-7.492187-.8125-17.546875 1.140625-27.578125 5.355468-4.230469 1.777344-9.054688-.230468-10.8125-4.414062zm0 0" fill="#fadda0"/><path d="m317.796875 363.496094c-20.851563-36.113282-67.023437-48.484375-103.132813-27.632813-36.113281 20.847657-48.484374 67.019531-27.636718 103.132813 20.851562 36.109375 67.023437 48.480468 103.136718 27.632812 36.109376-20.851562 48.480469-67.023437 27.632813-103.132812zm0 0" fill="#fc9949"/><path d="m290.167969 466.640625c8.019531-4.628906 14.859375-10.511719 20.429687-17.25-56.8125 5.527344-66.78125-27.882813-67.859375-47.304687-.429687-7.742188-4.464843-14.808594-10.71875-19.382813-23.355469-17.085937-17.351562-46.828125-17.351562-46.832031-36.109375 20.847656-48.484375 67.023437-27.636719 103.132812 20.851562 36.113282 67.027344 48.484375 103.136719 27.636719zm0 0" fill="#fd7e31"/><path d="m178.710938 384.9375c11.425781-.777344 26.714843-.765625 43.394531 2.152344 40.777343 7.128906 76.28125-7.53125 85.746093-37.082032-23.410156-25.371093-62.035156-32.121093-93.183593-14.136718-19.089844 11.019531-31.535157 29.117187-35.957031 49.066406zm0 0" fill="#fbb362"/><path d="m214.667969 335.871094c-19.085938 11.019531-31.535157 29.117187-35.957031 49.066406 11.425781-.777344 26.714843-.765625 43.394531 2.152344 5.417969.945312 10.742187 1.5 15.925781 1.691406-1.644531-2.308594-3.671875-4.371094-6.011719-6.082031-23.355469-17.085938-17.351562-46.824219-17.351562-46.828125zm0 0" fill="#fc9949"/><path d="m178.847656 418.253906c1.644532 7.109375 4.347656 14.101563 8.1875 20.75 10.027344 17.371094 25.917969 29.226563 43.726563 34.558594 45.3125-55.164062-16.402344-57.75-51.914063-55.308594zm0 0" fill="#fc6442"/><path d="m188.164062 466.816406c-4.046874 0-7.578124-2.972656-8.164062-7.089844-.644531-4.515624 2.492188-8.699218 7.007812-9.34375 19.792969-2.824218 48.308594-14.152343 76.28125-30.300781 23.351563-13.484375 43.714844-28.710937 57.335938-42.871093 14.488281-15.070313 15.136719-22.648438 14.519531-23.71875-.289062-.367188-2.207031-1.664063-6.691406-2.152344-4.53125-.492188-7.808594-4.566406-7.316406-9.097656.492187-4.535157 4.566406-7.820313 9.097656-7.320313 9.121094.988281 15.945313 4.652344 19.210937 10.316406 6.183594 10.707031.492188 25.3125-16.917968 43.417969-14.664063 15.25-36.320313 31.488281-60.980469 45.726562-30.148437 17.40625-60.113281 29.199219-82.207031 32.351563-.394532.054687-.789063.082031-1.175782.082031zm0 0" fill="#f9ecc6"/></svg>
\ No newline at end of file
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/Space/031-planet.svg b/src/backend/base/langflow/initial_setup/profile_pictures/Space/031-planet.svg
new file mode 100644
index 00000000000..243c6a47d55
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/Space/031-planet.svg
@@ -0,0 +1 @@
+<svg height="512pt" viewBox="-10 0 511 512" width="512pt" xmlns="http://www.w3.org/2000/svg"><path d="m476.65625 348.335938c8.957031-25.453126 13.84375-52.820313 13.84375-81.335938 0-135.308594-109.6875-245-245-245-135.308594 0-245 109.691406-245 245 0 28.515625 4.890625 55.886719 13.847656 81.339844zm0 0" fill="#162680"/><path d="m245.5 512c107.171875 0 198.253906-68.816406 231.511719-164.664062-32.105469-97.136719-123.613281-167.238282-231.511719-167.238282-107.894531 0-199.40625 70.097656-231.507812 167.234375 33.253906 95.851563 124.339843 164.667969 231.507812 164.667969zm0 0" fill="#d7f9b7"/><path d="m13.992188 347.332031c23.3125 67.195313 75.050781 121.101563 140.820312 147.328125.519531-61.125 77.433594-104.636718 51.117188-157.882812-37.742188-76.363282 47.804687-145.945313 47.804687-145.945313l-25.027344-10.152343c-100.515625 6.839843-184.292969 74.601562-214.714843 166.652343zm0 0" fill="#a2ec00"/><path d="m460.726562 309.316406c-41.011718-76.886718-122.003906-129.21875-215.226562-129.21875-107.898438 0-199.40625 70.101563-231.507812 167.242188 3.960937 11.410156 8.738281 22.433594 14.265624 33.003906 12.75-4.234375 26.304688-10.5 40.640626-19.328125 113.375-69.832031 204.285156 22.265625 296.972656-27.515625 45.988281-24.699219 76.140625-27.5625 94.855468-24.183594zm0 0" fill="#a2ec00"/><path d="m13.992188 347.339844c3.960937 11.410156 8.738281 22.433594 14.265624 33.007812 12.75-4.238281 26.304688-10.5 40.640626-19.332031 49.253906-30.335937 94.269531-30.113281 137.03125-24.234375-37.742188-76.363281 47.804687-145.945312 47.804687-145.945312l-25.027344-10.15625c-100.515625 6.839843-184.292969 74.605468-214.714843 166.660156zm0 0" fill="#00c82f"/><path d="m361.519531 482.832031c-110.632812-32.589843-162.949219-115.5-228.871093-78.515625-23.558594 13.21875-47.515626 21.140625-70.085938 25.628906 44.871094 50.339844 110.195312 82.054688 182.9375 82.054688 41.976562 0 81.484375-10.5625 116.019531-29.167969zm0 0" fill="#a2ec00"/><path d="m154.8125 494.652344c.304688-35.226563 25.972656-64.605469 42.636719-93.367188-21.890625-8.265625-42.570313-9.4375-64.800781 3.03125-23.558594 13.21875-47.511719 21.140625-70.085938 25.628906 25.105469 28.167969 56.621094 50.496094 92.25 64.707032zm0 0" fill="#00c82f"/><path d="m200.675781 460.578125c-31.402343-16.519531-79.34375-12.398437-113.121093-6.328125 32.910156 27.792969 73.230468 47.082031 117.59375 54.4375 16.558593-17.378906 18.050781-36.261719-4.472657-48.109375zm0 0" fill="#00c82f"/><path d="m154.8125 494.644531c.136719-15.703125 5.3125-30.242187 12.484375-44.082031-26.625-3.734375-56.527344-.484375-79.742187 3.691406 19.945312 16.84375 42.617187 30.554688 67.257812 40.390625zm0 0" fill="#04ad24"/><path d="m298.347656 68.210938c-.996094-9.148438-8.320312-16.546876-17.457031-17.632813-1.808594-.214844-3.578125-.1875-5.273437.054687-2.03125.285157-3.785157-1.367187-3.78125-3.417968 0-.015625 0-.03125 0-.046875 0-23.921875-19.394532-43.3125-43.3125-43.3125-18.070313 0-33.554688 11.066406-40.050782 26.792969-.773437 1.875-2.910156 2.832031-4.785156 2.050781-3.554688-1.484375-7.453125-2.308594-11.550781-2.308594-12.3125 0-22.890625 7.414063-27.53125 18.015625-.617188 1.414062-2.105469 2.222656-3.644531 2.09375-1.148438-.09375-2.320313-.09375-3.515626.019531-10 .9375-17.917968 9.394531-18.164062 19.4375-.273438 11.289063 8.792969 20.523438 20.019531 20.523438h139.144531c11.800782.003906 21.214844-10.203125 19.902344-22.269531zm0 0" fill="#4374d3"/><path d="m187.746094 77.390625c.996094-.671875 2.027344-1.234375 3.078125-1.703125 1.414062-.625 2.332031-2.046875 2.195312-3.585938-1.011719-11.527343 4.714844-23.105468 15.519531-29.011718 3.59375-1.960938 7.414063-3.109375 11.246094-3.511719 2.015625-.210937 3.433594-2.078125 3.210938-4.097656-1.222656-11.246094 2.03125-22.585938 9.011718-31.472657-1.152343-.09375-2.3125-.152343-3.488281-.152343-18.070312 0-33.554687 11.066406-40.046875 26.792969-.773437 1.875-2.914062 2.835937-4.785156 2.050781-3.554688-1.484375-7.457031-2.308594-11.550781-2.308594-12.316407 0-22.894531 7.414063-27.53125 18.015625-.621094 1.417969-2.109375 2.226562-3.644531 2.097656-1.148438-.097656-2.324219-.097656-3.519532.015625-10 .9375-17.914062 9.394531-18.160156 19.4375-.273438 11.289063 8.792969 20.527344 20.019531 20.527344h39.984375c.941406-5.1875 3.867188-9.992187 8.460938-13.09375zm0 0" fill="#3957c9"/><path d="m206.085938 88.664062c1.273437-11.671874 10.613281-21.109374 22.273437-22.492187 2.304687-.273437 4.558594-.238281 6.726563.066406 2.589843.367188 4.824218-1.742187 4.820312-4.355469 0-.019531 0-.039062 0-.058593 0-30.519531 24.738281-55.257813 55.257812-55.257813 23.050782 0 42.804688 14.121094 51.089844 34.179688.984375 2.394531 3.714844 3.617187 6.101563 2.617187 4.535156-1.894531 9.511719-2.941406 14.734375-2.941406 15.710937 0 29.207031 9.453125 35.121094 22.980469.792968 1.804687 2.691406 2.835937 4.652343 2.671875 1.464844-.121094 2.960938-.121094 4.488281.023437 12.753907 1.195313 22.855469 11.984375 23.167969 24.792969.351563 14.402344-11.21875 26.1875-25.539062 26.1875h-177.503907c-15.054687 0-27.066406-13.019531-25.390624-28.414063zm0 0" fill="#61b6ff"/><path d="m266.882812 83.394531c2.5625-.363281 4.425782-2.699219 4.054688-5.261719-.710938-4.863281-.492188-9.945312.804688-15.003906 3.90625-15.21875 16.414062-25.941406 30.988281-28.3125 1.945312-.316406 3.414062-1.898437 3.742187-3.84375.246094-1.445312.621094-2.898437 1.136719-4.339844 2.257813-6.289062 6.863281-11.222656 12.523437-14.101562-7.5-3.808594-15.980468-5.964844-24.96875-5.964844-30.515624 0-55.257812 24.738282-55.257812 55.257813v.058593c.003906 2.613282-2.230469 4.722657-4.820312 4.355469-2.167969-.304687-4.421876-.339843-6.726563-.066406-11.660156 1.382813-21 10.820313-22.273437 22.492187-1.386719 12.730469 6.589843 23.828126 17.902343 27.289063 7.761719-17.777344 24.226563-29.917969 42.894531-32.558594zm0 0" fill="#5294e5"/><path d="m184.761719 157.140625c-2.203125-2.144531-4.726563-4.105469-6.078125-6.867187-.914063-1.871094-1.21875-3.972657-1.507813-6.035157-2.597656-18.324219-5.195312-36.648437-7.789062-54.972656-2.625-18.5-15.675781-13.78125-18.136719-12.71875-4.320312 2.300781-8.617188 4.640625-12.863281 7.074219-10.234375 5.867187-12.367188 9.769531-11.652344 20.34375 1.480469 21.816406 7.960937 45.769531-3.925781 64.121094-2.695313 4.15625-6.308594 7.929687-7.46875 12.746093-1.78125 7.410157 2.726562 14.960938 2.328125 22.570313-.449219 8.527344-6.445313 14.640625-12.9375 20.683594-3.710938 3.453124-1.25 9.671874 3.820312 9.671874h41.234375c-.699218-1.28125-.867187-2.859374-.253906-4.378906 7.179688-17.222656 13.511719-38.050781 30.011719-46.777344 4.996093-2.644531 10.816406-4.125 16.464843-5.722656-2.023437-7.453125-5.652343-14.308594-11.246093-19.738281zm0 0" fill="#fc9949"/><path d="m149.53125 229.382812c7.179688-17.226562 13.515625-38.054687 30.015625-46.78125 4.996094-2.640624 10.8125-4.125 16.464844-5.722656-2.027344-7.453125-5.660157-14.308594-11.25-19.738281-2.207031-2.144531-4.726563-4.105469-6.078125-6.867187-.914063-1.871094-1.21875-3.972657-1.511719-6.035157-2.59375-18.324219-5.191406-36.648437-7.789063-54.972656-.6875-4.863281-2.101562-8.109375-3.851562-10.253906-1.71875 1.511719-3.429688 3.039062-5.128906 4.609375-6.324219 5.867187-7.636719 9.769531-7.195313 20.34375.910157 21.816406 4.917969 45.769531-2.429687 64.121094-1.664063 4.15625-3.894532 7.929687-4.613282 12.746093-1.101562 7.410157 1.6875 14.960938 1.441407 22.570313-.277344 8.527344-3.984375 14.640625-7.996094 20.683594-2.292969 3.453124-.769531 9.671874 2.363281 9.671874h7.816406c-.699218-1.28125-.871093-2.859374-.257812-4.375zm0 0" fill="#fd7e31"/><path d="m146.472656 126.792969c5.363282 0 9.714844-4.347657 9.714844-9.714844 0-5.363281-4.351562-9.714844-9.714844-9.714844h-18.453125c-.339843 0-.679687.019531-1.007812.050781.558593 6.378907 1.433593 12.898438 2.0625 19.378907zm0 0" fill="#fbb362"/><path d="m144.667969 150.273438c0 5.367187 4.347656 9.714843 9.714843 9.714843h33c-.828124-.980469-1.6875-1.941406-2.621093-2.847656-2.203125-2.140625-4.726563-4.105469-6.078125-6.867187-.914063-1.871094-1.21875-3.972657-1.507813-6.035157-.175781-1.226562-.351562-2.453125-.523437-3.679687h-22.269532c-5.367187 0-9.714843 4.347656-9.714843 9.714844zm0 0" fill="#fbb362"/><path d="m187.378906 159.984375c-3.789062-4.503906-6.636718-5.90625-8.492187-9.351563-1.433594-2.652343-1.65625-6.007812-2.234375-10.074218h-21.539063c-.015625 6.730468-.492187 13.257812-1.851562 19.359375.371093.042969.742187.070312 1.121093.070312h33s-.003906-.003906-.003906-.003906zm0 0" fill="#fc9949"/><path d="m391.015625 214.628906c-1.992187-4.363281-5.589844-7.734375-8.820313-11.28125-12.785156-14.039062-20.742187-34.289062-14.652343-52.273437.984375-2.914063 2.335937-5.808594 2.277343-8.882813-.039062-2.082031-.726562-4.09375-1.40625-6.0625-7.03125-20.339844-14.0625-40.679687-21.089843-61.019531-2.953125-8.539063-5.480469-10.148437-13.375-10.542969-15.476563-.773437-30.984375-.796875-46.460938-.070312-11.785156.554687-15.460937 3.054687-19.644531 12.792968-8.632812 20.089844-13.785156 44.363282-32.734375 55.273438-4.296875 2.472656-9.230469 4.179688-12.460937 7.941406-4.964844 5.777344-4.394532 14.554688-8.21875 21.144532-7.152344 12.320312-24.976563 11.613281-37.566407 18.273437-16.5 8.726563-22.835937 29.554687-30.015625 46.777344-1.363281 3.375 1.125 7.058593 4.765625 7.058593h236.179688c2.730469 0 4.984375-2.136718 5.136719-4.859374.277343-4.992188.085937-9.886719-1.914063-14.269532zm0 0" fill="#face7a"/><path d="m214.53125 226.699219c5.207031-17.222657 9.800781-38.054688 21.761719-46.78125 9.128906-6.65625 22.054687-5.953125 27.238281-18.269531 2.773438-6.589844 2.359375-15.367188 5.960938-21.144532 2.34375-3.761718 5.917968-5.46875 9.035156-7.941406 13.738281-10.910156 17.472656-35.183594 23.734375-55.273438 3.035156-9.738281 5.699219-12.238281 14.242187-12.792968 2.261719-.144532 4.523438-.253906 6.785156-.339844-11.933593-.332031-23.878906-.21875-35.800781.339844-11.785156.554687-15.460937 3.054687-19.644531 12.792968-8.632812 20.089844-13.785156 44.363282-32.734375 55.273438-4.296875 2.472656-9.230469 4.179688-12.460937 7.941406-4.964844 5.777344-4.394532 14.554688-8.21875 21.144532-7.152344 12.316406-24.976563 11.613281-37.566407 18.269531-16.5 8.726562-22.835937 29.558593-30.015625 46.78125-1.363281 3.375 1.125 7.058593 4.765625 7.058593h66.371094c-2.640625 0-4.441406-3.683593-3.453125-7.058593zm0 0" fill="#fbb362"/><path d="m264.769531 84.902344c-2.488281 6.457031-4.851562 13.105468-7.59375 19.429687h35.605469c3.726562 0 7.34375 1.539063 9.925781 4.230469 11.367188 11.828125 26.367188 10.019531 27.34375 10.191406 5.363281 0 9.714844-4.347656 9.714844-9.714844 0-5.367187-4.351563-9.714843-9.714844-9.714843h-3.410156c-3.726563 0-7.34375-1.542969-9.925781-4.226563-6.226563-6.480468-14.949219-10.195312-23.933594-10.195312zm0 0" fill="#fadda0"/><path d="m292.78125 84.902344h-28.011719c-2.417969 6.269531-4.867187 13.140625-7.59375 19.421875v.007812h35.605469c.574219 0 1.144531.050781 1.707031.121094 1.925781-6.109375 3.589844-12.523437 5.328125-18.78125-2.300781-.5-4.65625-.769531-7.035156-.769531zm0 0" fill="#face7a"/><path d="m289.148438 146.574219c5.367187 0 9.714843-4.351563 9.714843-9.714844 0-5.367187-4.347656-9.714844-9.714843-9.714844h-46.753907c-10.589843 9.878907-18.902343 7.519531-23.054687 19.429688zm0 0" fill="#fadda0"/><path d="m242.394531 127.144531c-.003906 0-.003906 0-.007812.003907-6.140625 5.730468-11.476563 7.300781-15.820313 10.050781-3.375 2.183593-5.597656 4.703125-7.226562 9.375h47.75c.558594-2.210938 1.289062-4.285157 2.402344-6.074219 2.34375-3.757812 5.917968-5.46875 9.035156-7.941406 1.949218-1.546875 3.695312-3.375 5.28125-5.417969h-41.414063zm0 0" fill="#face7a"/><path d="m263.449219 200.546875h4.417969c9.972656 0 19.679687-4.097656 26.636718-11.242187 3.324219-3.410157 7.957032-5.367188 12.71875-5.367188h62.488282c-2.621094-6.25-4.171876-12.851562-4.246094-19.429688h-58.242188c-9.96875 0-19.679687 4.097657-26.636718 11.242188-3.324219 3.410156-7.957032 5.367188-12.71875 5.367188h-4.417969c-5.367188 0-9.714844 4.351562-9.714844 9.714843 0 5.367188 4.347656 9.714844 9.714844 9.714844zm0 0" fill="#fadda0"/><path d="m94.511719 39.535156c.609375-5.621094 5.109375-10.164062 10.722656-10.832031 1.113281-.132813 2.195313-.113281 3.242187.035156 1.246094.175781 2.324219-.839843 2.320313-2.101562 0-.007813 0-.015625 0-.027344 0-14.695313 11.914063-26.609375 26.609375-26.609375 11.105469 0 20.617188 6.800781 24.605469 16.460938.476562 1.152343 1.789062 1.742187 2.9375 1.261718 2.1875-.914062 4.582031-1.417968 7.097656-1.417968 7.566406 0 14.0625 4.550781 16.914063 11.066406.378906.867187 1.296874 1.363281 2.238281 1.285156.707031-.058594 1.429687-.058594 2.160156.011719 6.144531.574219 11.007813 5.773437 11.160156 11.941406.167969 6.933594-5.402343 12.609375-12.300781 12.609375h-85.480469c-7.25 0-13.035156-6.269531-12.226562-13.683594zm0 0" fill="#5294e5"/><path d="m123.789062 36.996094c1.234376-.171875 2.128907-1.300782 1.949219-2.53125-.339843-2.34375-.234375-4.789063.390625-7.226563 1.878906-7.328125 7.90625-12.492187 14.921875-13.632812.9375-.152344 1.644531-.917969 1.804688-1.851563.117187-.699218.296875-1.398437.546875-2.089844 1.085937-3.03125 3.304687-5.40625 6.03125-6.792968-3.613282-1.835938-7.699219-2.871094-12.027344-2.871094-14.695312 0-26.609375 11.914062-26.609375 26.609375v.027344c0 1.261719-1.074219 2.277343-2.324219 2.101562-1.042968-.148437-2.128906-.167969-3.238281-.035156-5.617187.667969-10.113281 5.210937-10.726563 10.832031-.667968 6.128906 3.175782 11.476563 8.625 13.144532 3.734376-8.5625 11.667969-14.410157 20.65625-15.683594zm0 0" fill="#4374d3"/></svg>
\ No newline at end of file
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/Space/032-constellation.svg b/src/backend/base/langflow/initial_setup/profile_pictures/Space/032-constellation.svg
new file mode 100644
index 00000000000..57b370a73c2
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/Space/032-constellation.svg
@@ -0,0 +1 @@
+<svg height="512pt" viewBox="-11 0 512 512.0001" width="512pt" xmlns="http://www.w3.org/2000/svg"><path d="m490.011719 266.996094c0 135.3125-109.691407 245.003906-245.007813 245.003906-135.3125 0-245.003906-109.691406-245.003906-245.003906 0-135.316406 109.691406-245.007813 245.003906-245.007813 135.316406 0 245.007813 109.691407 245.007813 245.007813zm0 0" fill="#162680"/><path d="m269.777344 210.261719 47.929687-144.265625-250.910156-47.273438 40.164063 182.710938 161.828124 9.253906zm0 0" fill="#1d319b"/><path d="m66.796875 18.722656 40.164063 182.710938 82.597656 4.722656c.109375-1.652344.714844-3.128906 1.472656-4.371094 1.203125-1.96875.332031-4.511718-1.855469-5.25-17.921875-6.050781-16.523437-26.722656-16.523437-26.722656s0-48.667969 0-80.667969c0-23.050781 10.167968-32.433593 15.855468-35.882812 1.730469-1.046875 2.164063-3.34375 1.015626-5.007813-1.78125-2.582031-2.375-4.875-2.308594-6.84375zm0 0" fill="#162680"/><path d="m421.96875 436.441406-5.664062-97.480468c-.214844-3.703126-2.6875-6.890626-6.214844-8.019532l-89.949219-28.773437-40.917969-91.90625 46.992188-141.441407c.816406-2.453124.53125-5.140624-.78125-7.371093s-3.523438-3.785157-6.0625-4.261719l-250.914063-47.273438c-2.957031-.554687-5.996093.40625-8.09375 2.566407-2.097656 2.160156-2.96875 5.226562-2.320312 8.167969l40.164062 182.707031c.863281 3.925781 4.230469 6.796875 8.242188 7.023437l157.203125 8.992188 41.746094 93.757812c1.039062 2.335938 3.023437 4.113282 5.457031 4.890625l87.910156 28.125 6.183594 106.453125c5.925781-5.113281 11.605469-10.503906 17.019531-16.15625zm-158.691406-235.046875-149.019532-8.523437-35.796874-162.832032 227.507812 42.867188zm0 0" fill="#c78fe8"/><path d="m411.949219 378.59375c3.253906.660156 5.789062 2.882812 6.988281 5.726562l-2.632812-45.359374c-.214844-3.703126-2.6875-6.890626-6.21875-8.019532l-89.945313-28.773437-40.917969-91.90625 46.992188-141.441407c.816406-2.453124.53125-5.140624-.78125-7.371093s-3.523438-3.785157-6.066406-4.261719l-250.910157-47.273438c-2.957031-.554687-5.996093.40625-8.09375 2.566407-2.097656 2.160156-2.96875 5.226562-2.320312 8.167969l40.164062 182.707031c.863281 3.925781 4.230469 6.796875 8.242188 7.023437l157.203125 8.992188 41.746094 93.757812c1.039062 2.335938 3.023437 4.113282 5.457031 4.890625l87.910156 28.125 2.234375 38.464844c1.660156-4.339844 6.25-6.972656 10.949219-6.015625zm-148.671875-177.199219-149.019532-8.523437-35.796874-162.832032 227.507812 42.867188zm0 0" fill="#b26cde"/><path d="m191.03125 201.789062c.953125-1.5625.589844-3.46875-.6875-4.566406l-76.089844-4.351562-35.792968-162.832032 111.609374 21.03125c.207032-.9375.042969-1.957031-.546874-2.816406-4.601563-6.664062-1.335938-11.410156.976562-13.617187.453125-.4375.761719-.976563.925781-1.554688l-122.96875-23.167969c-2.957031-.554687-5.996093.40625-8.09375 2.566407-2.097656 2.160156-2.96875 5.226562-2.320312 8.167969l40.164062 182.707031c.863281 3.925781 4.230469 6.796875 8.242188 7.023437l88.203125 5.046875c-6.570313-5.367187-5.632813-10.351562-3.621094-13.636719zm0 0" fill="#9d4ad3"/><path d="m280.183594 421.371094-70.476563 21.914062-33.828125-107.167968c-1.488281-4.722657-6.519531-7.339844-11.246094-5.851563-4.71875 1.488281-7.339843 6.523437-5.847656 11.246094l35.445313 112.292969-22.660157 47c5.773438 1.8125 11.636719 3.414062 17.585938 4.800781l21.070312-43.707031 75.28125-23.40625c4.726563-1.472657 7.367188-6.496094 5.898438-11.222657-1.472656-4.726562-6.492188-7.367187-11.222656-5.898437zm0 0" fill="#c78fe8"/><path d="m319.25 281.492188c-14.824219-3.015626-29.289062 6.558593-32.300781 21.382812-3.015625 14.824219 6.554687 29.285156 21.382812 32.300781 14.824219 3.015625 29.285157-6.558593 32.300781-21.382812 3.015626-14.824219-6.558593-29.285157-21.382812-32.300781zm0 0" fill="#fadda0"/><path d="m321.34375 318.523438c-9.714844-1.972657-15.988281-11.453126-14.011719-21.167969 1.6875-8.296875 8.847657-14.0625 16.949219-14.347657-1.597656-.660156-3.277344-1.191406-5.035156-1.546874-14.824219-3.015626-29.285156 6.558593-32.300782 21.382812-3.015624 14.828125 6.558594 29.289062 21.386719 32.300781 14.824219 3.015625 29.285157-6.558593 32.296875-21.382812.359375-1.757813.527344-3.511719.542969-5.242188-3.425781 7.351563-11.53125 11.691407-19.828125 10.003907zm0 0" fill="#face7a"/><path d="m71.886719.417969c-11.019531-2.242188-21.769531 4.875-24.011719 15.894531-2.238281 11.019531 4.875 21.769531 15.894531 24.011719 11.023438 2.242187 21.773438-4.875 24.011719-15.894531 2.242188-11.019532-4.875-21.769532-15.894531-24.011719zm0 0" fill="#fadda0"/><path d="m73.929688 27.339844c-7.027344-1.429688-11.570313-8.289063-10.140626-15.320313 1.207032-5.933593 6.285157-10.078125 12.066407-10.371093-1.257813-.535157-2.582031-.953126-3.972657-1.238282-11.019531-2.238281-21.769531 4.878906-24.011718 15.898438-2.238282 11.019531 4.878906 21.769531 15.898437 24.011718 11.019531 2.242188 21.769531-4.875 24.011719-15.894531.28125-1.390625.414062-2.777343.410156-4.140625-2.527344 5.207032-8.324218 8.261719-14.261718 7.054688zm0 0" fill="#face7a"/><path d="m269.8125 193.261719c-9.546875-1.941407-18.863281 4.226562-20.804688 13.773437-1.941406 9.546875 4.222657 18.859375 13.773438 20.800782 9.546875 1.941406 18.859375-4.222657 20.800781-13.769532 1.941407-9.546875-4.222656-18.859375-13.769531-20.804687zm0 0" fill="#fc9949"/><path d="m271.160156 217.109375c-6.257812-1.273437-10.296875-7.375-9.027344-13.632813 1.085938-5.339843 5.699219-9.058593 10.917969-9.238281-1.03125-.425781-2.109375-.765625-3.242187-.996093-9.546875-1.941407-18.863282 4.222656-20.800782 13.769531-1.941406 9.546875 4.222657 18.863281 13.769532 20.804687 9.550781 1.941406 18.863281-4.226562 20.804687-13.773437.230469-1.132813.335938-2.261719.347657-3.375-2.207032 4.734375-7.429688 7.527343-12.769532 6.441406zm0 0" fill="#fd7e31"/><path d="m409.535156 322.351562c-9.613281-1.957031-18.992187 4.25-20.945312 13.863282-1.957032 9.613281 4.25 18.992187 13.863281 20.949218 9.613281 1.953126 18.992187-4.253906 20.949219-13.867187 1.953125-9.613281-4.253906-18.992187-13.867188-20.945313zm0 0" fill="#fd7e31"/><path d="m410.890625 346.347656c-6.300781-1.28125-10.367187-7.429687-9.085937-13.726562 1.09375-5.382813 5.734374-9.121094 10.992187-9.304688-1.039063-.429687-2.125-.773437-3.265625-1.003906-9.617188-1.957031-18.992188 4.253906-20.949219 13.867188-1.953125 9.613281 4.253907 18.992187 13.871094 20.949218 9.613281 1.953125 18.992187-4.257812 20.945313-13.871094.234374-1.140624.339843-2.273437.351562-3.398437-2.222656 4.765625-7.480469 7.582031-12.859375 6.488281zm0 0" fill="#fc6442"/><path d="m196.914062 402.757812-21.035156-66.640624c-1.492187-4.71875-6.523437-7.339844-11.246094-5.851563-4.71875 1.492187-7.339843 6.527344-5.851562 11.246094l20.660156 65.445312c2.128906-7.792969 12.019532-10.179687 17.472656-4.199219zm0 0" fill="#b26cde"/><path d="m112.664062 180.671875c-11.019531-2.242187-21.769531 4.875-24.007812 15.894531-2.242188 11.019532 4.875 21.769532 15.894531 24.011719s21.769531-4.875 24.011719-15.894531c2.238281-11.019532-4.875-21.769532-15.898438-24.011719zm0 0" fill="#83d3fc"/><path d="m114.71875 207.585938c-7.03125-1.429688-11.570312-8.289063-10.144531-15.320313 1.207031-5.933594 6.285156-10.078125 12.066406-10.371094-1.253906-.539062-2.582031-.957031-3.972656-1.238281-11.019531-2.242188-21.769531 4.875-24.011719 15.898438-2.238281 11.019531 4.878906 21.769531 15.898438 24.007812 11.019531 2.242188 21.769531-4.875 24.011718-15.894531.28125-1.390625.414063-2.777344.410156-4.140625-2.527343 5.207031-8.324218 8.265625-14.257812 7.058594zm0 0" fill="#61b6ff"/><path d="m322.882812 40.917969c-13.878906-2.824219-27.421874 6.140625-30.246093 20.023437-2.820313 13.878906 6.144531 27.421875 20.023437 30.246094 13.882813 2.820312 27.421875-6.144531 30.246094-20.023438 2.824219-13.882812-6.140625-27.421874-20.023438-30.246093zm0 0" fill="#fc7acd"/><path d="m325.449219 74.816406c-8.855469-1.800781-14.574219-10.4375-12.773438-19.292968 1.519531-7.476563 7.914063-12.695313 15.199219-13.066407-1.582031-.675781-3.253906-1.203125-5.003906-1.558593-13.882813-2.824219-27.421875 6.140624-30.246094 20.023437s6.144531 27.425781 20.023438 30.246094c13.882812 2.824219 27.425781-6.140625 30.246093-20.023438.355469-1.75.523438-3.496093.519531-5.214843-3.183593 6.558593-10.488281 10.40625-17.964843 8.886718zm0 0" fill="#f948b4"/><path d="m169.726562 318.378906c-9.933593-2.023437-19.625 4.394532-21.644531 14.328125-2.019531 9.933594 4.394531 19.621094 14.328125 21.644531 9.933594 2.019532 19.621094-4.394531 21.644532-14.328124 2.019531-9.9375-4.394532-19.625-14.328126-21.644532zm0 0" fill="#face7a"/><path d="m171.578125 342.625c-6.335937-1.289062-10.429687-7.472656-9.140625-13.808594 1.085938-5.347656 5.664062-9.082031 10.875-9.347656-1.132812-.484375-2.328125-.863281-3.582031-1.117188-9.929688-2.019531-19.621094 4.398438-21.640625 14.328126-2.023438 9.9375 4.394531 19.625 14.328125 21.644531 9.933593 2.019531 19.625-4.394531 21.644531-14.328125.253906-1.253906.375-2.5.371094-3.730469-2.28125 4.691406-7.507813 7.445313-12.855469 6.359375zm0 0" fill="#fbb362"/><path d="m207.277344 437.589844c-9.351563-1.902344-18.476563 4.140625-20.378906 13.492187-1.902344 9.355469 4.136718 18.480469 13.488281 20.382813 9.355469 1.902344 18.480469-4.140625 20.382812-13.492188 1.902344-9.355468-4.136719-18.480468-13.492187-20.382812zm0 0" fill="#83d3fc"/><path d="m208.613281 460.945312c-6.128906-1.246093-10.089843-7.226562-8.84375-13.355468 1.066407-5.234375 5.582031-8.875 10.695313-9.054688-1.007813-.414062-2.066406-.75-3.175782-.976562-9.355468-1.902344-18.476562 4.140625-20.378906 13.496094-1.902344 9.351562 4.136719 18.476562 13.492188 20.378906 9.355468 1.902344 18.480468-4.140625 20.378906-13.492188.226562-1.109375.332031-2.214844.34375-3.308594-2.164062 4.636719-7.277344 7.375-12.511719 6.3125zm0 0" fill="#61b6ff"/><path d="m309.300781 399.078125c-14.46875-2.945313-28.582031 6.398437-31.527343 20.867187-2.941407 14.46875 6.402343 28.585938 20.871093 31.527344 14.46875 2.945313 28.585938-6.398437 31.527344-20.867187s-6.402344-28.585938-20.871094-31.527344zm0 0" fill="#fadda0"/><path d="m311.996094 434.398438c-9.230469-1.878907-15.191406-10.882813-13.316406-20.113282 1.585937-7.792968 8.25-13.234375 15.839843-13.617187-1.648437-.707031-3.390625-1.257813-5.214843-1.628907-14.46875-2.941406-28.582032 6.40625-31.523438 20.875-2.945312 14.46875 6.398438 28.582032 20.871094 31.523438 14.46875 2.945312 28.582031-6.402344 31.523437-20.871094.371094-1.824218.546875-3.644531.539063-5.433594-3.316406 6.835938-10.929688 10.847657-18.71875 9.265626zm0 0" fill="#face7a"/></svg>
\ No newline at end of file
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/Space/033-planet.svg b/src/backend/base/langflow/initial_setup/profile_pictures/Space/033-planet.svg
new file mode 100644
index 00000000000..9b9b8c929ff
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/Space/033-planet.svg
@@ -0,0 +1 @@
+<svg height="512pt" viewBox="-11 0 512 512" width="512pt" xmlns="http://www.w3.org/2000/svg"><path d="m469.640625 364.894531c13.085937-29.984375 20.359375-63.089843 20.359375-97.894531 0-135.3125-109.691406-245-245-245s-245 109.6875-245 245c0 34.820312 7.28125 67.933594 20.375 97.929688zm0 0" fill="#9d4ad3"/><path d="m245 512c100.890625 0 187.523438-60.988281 225.078125-148.105469-20.105469-62.988281-65.921875-114.492187-125.105469-142.179687h-199.800781c-.042969 0-.078125-.011719-.117187-.011719-59.199219 27.6875-105.023438 79.195313-125.132813 142.191406 37.554687 87.117188 124.1875 148.105469 225.078125 148.105469zm0 0" fill="#83d3fc"/><path d="m177.816406 443.839844c1.132813-5.832032-1.230468-11.792969-6.027344-15.296875-14.992187-10.964844-13.652343-24.503907-11.429687-31.761719 1.101563-3.601562.761719-7.492188-.769531-10.933594-21.152344-47.484375 47.0625-53.136718 25.214844-98.273437-22.699219-46.902344 14.058593-63.449219 14.058593-63.449219l-.085937-2.410156h-53.605469c-.039063 0-.078125-.011719-.117187-.011719-59.199219 27.6875-105.023438 79.195313-125.132813 142.191406 30.042969 69.695313 91.5 122.660157 166.535156 141.058594-13.476562-21.914063-11.328125-47.308594-8.640625-61.113281zm0 0" fill="#5294e5"/><path d="m362.414062 284.53125c-3.753906-11.929688 3.902344-24.597656 13.34375-32.808594 2.730469-2.375 5.640626-4.550781 8.59375-6.679687-12.28125-8.984375-25.457031-16.816407-39.378906-23.328125h-199.800781c-.042969 0-.078125-.011719-.117187-.011719-59.207032 27.691406-105.015626 79.21875-125.117188 142.226563 5.328125 12.351562 11.632812 24.1875 18.835938 35.390624 5.234374 1.339844 10.558593 2.199219 16.011718 2.296876 4.765625.082031 9.824219-.539063 13.558594-3.492188 5.125-4.050781 6.316406-11.160156 8.6875-17.246094 6.992188-17.96875 30.332031-29.015625 47.117188-19.53125 9.113281 5.148438 14.695312 14.714844 22.265624 21.941406 7.574219 7.226563 19.996094 11.964844 28.21875 5.488282 5.359376-4.222656 7.125-11.949219 12.699219-15.886719 9.898438-6.996094 23.089844 2.160156 35.207031 2.433594 16.320313.367187 27.851563-15.082031 41.589844-23.894531 12.296875-7.886719 27.785156-10.632813 42.042969-7.449219 13.28125 2.964843 24.972656 10.671875 37.742187 15.382812 12.765626 4.714844 28.484376 5.867188 38.746094-3.074219 14.363282-12.507812 9.097656-37.035156-3.855468-50.996093-6.058594-6.527344-13.714844-12.265625-16.390626-20.761719zm0 0" fill="#d7f9b7"/><path d="m124.152344 361.34375c9.113281 5.148438 14.691406 14.71875 22.265625 21.941406 3.953125 3.777344 9.234375 6.867188 14.546875 8.042969-.132813-1.878906-.601563-3.738281-1.378906-5.480469-21.148438-47.484375 47.066406-53.136718 25.21875-98.273437-22.699219-46.902344 14.058593-63.449219 14.058593-63.449219l-.085937-2.410156h-53.605469c-.042969 0-.078125-.011719-.117187-.011719-59.207032 27.691406-105.015626 79.21875-125.117188 142.226563 5.328125 12.351562 11.632812 24.1875 18.835938 35.390624 5.234374 1.339844 10.554687 2.199219 16.011718 2.296876 4.765625.082031 9.824219-.539063 13.558594-3.492188 5.125-4.050781 6.316406-11.160156 8.6875-17.246094 6.992188-17.96875 30.332031-29.019531 47.121094-19.535156zm0 0" fill="#a2ec00"/><path d="m145.171875 221.714844c-.042969 0-.078125-.011719-.117187-.011719-31.289063 14.632813-58.832032 35.925781-80.828126 62.046875 8.539063 5.265625 13.996094 14.386719 21.292969 21.351562 7.574219 7.222657 19.992188 11.964844 28.214844 5.488282 5.359375-4.226563 7.125-11.949219 12.699219-15.890625 9.902344-6.996094 23.089844 2.160156 35.210937 2.4375 16.316407.367187 27.847657-15.082031 41.589844-23.894531 12.292969-7.890626 27.78125-10.632813 42.039063-7.449219 13.285156 2.96875 24.976562 10.671875 37.742187 15.386719 12.769531 4.710937 28.488281 5.863281 38.75-3.074219 14.359375-12.511719 9.09375-37.039063-3.859375-51-1.703125-1.832031-3.527344-3.601563-5.332031-5.386719h-167.402344zm0 0" fill="#a2ec00"/><path d="m113.734375 310.589844c5.359375-4.226563 7.125-11.949219 12.699219-15.890625 9.902344-6.996094 23.089844 2.160156 35.210937 2.4375 8.734375.195312 16.097657-4.140625 23.160157-9.5625-22.699219-46.902344 14.058593-63.445313 14.058593-63.445313l-.085937-2.410156h-53.605469c-.039063 0-.078125-.011719-.117187-.015625-31.289063 14.636719-58.832032 35.929687-80.824219 62.050781 8.539062 5.261719 13.992187 14.382813 21.289062 21.347656 7.574219 7.222657 19.992188 11.964844 28.214844 5.488282zm0 0" fill="#00c82f"/><path d="m288.757812 485.585938c-2.613281-1.785157-6.097656-1.339844-9.203124-.738282-14.890626 2.878906-33.289063 6.496094-42.738282-5.367187-3.835937-4.808594-5.050781-11.125-7.3125-16.839844-5.566406-14.042969-18.355468-24.996094-33.089844-28.328125-14.734374-3.332031-30.992187 1.050781-42.054687 11.332031-5.648437 5.25-9.914063 11.8125-15.246094 17.378907-5.792969 6.046874-13.132812 10.78125-21.046875 13.570312 37.023438 22.46875 80.464844 35.40625 126.933594 35.40625 15.417969 0 30.5-1.441406 45.128906-4.164062 1.816406-4.675782 2.773438-9.558594 2.273438-14.589844-.289063-2.90625-1.230469-6.011719-3.644532-7.660156zm0 0" fill="#5294e5"/><path d="m177.816406 443.839844c.644532-3.308594.15625-6.65625-1.253906-9.574219-8.242188 1.75-16.03125 5.640625-22.203125 11.378906-5.648437 5.25-9.914063 11.8125-15.246094 17.382813-5.792969 6.042968-13.132812 10.777344-21.046875 13.570312 20.949219 12.710938 43.953125 22.367188 68.394532 28.363282-13.480469-21.917969-11.332032-47.316407-8.644532-61.121094zm0 0" fill="#4374d3"/><path d="m366.589844 438.714844c-1.574219-1.484375-3.066406-3.042969-4.351563-4.785156-3.738281-5.054688-5.226562-12.753907-.921875-17.335938 1.144532-1.21875 2.617188-2.125 3.617188-3.464844 1.582031-2.109375 1.746094-4.992187 1.210937-7.574218-1.785156-8.613282-10.296875-14.367188-18.863281-16.378907-8.5625-2.011719-17.507812-1.210937-26.277344-1.867187-7.058594-.527344-11.167968-3.089844-15.355468-7.652344-2.113282-2.300781-5.121094-3.574219-8.238282-3.402344-9.410156 1.15625-20.492187 4.597656-24.003906 16.648438-1.582031 5.425781 1.015625 14.277344 4.296875 18.878906 1.230469 1.726562 3.054687 2.964844 4.265625 4.707031 2.433594 3.515625 1.910156 8.28125 3.507812 12.242188 3.109376 7.699219 12.949219 10.011719 21.238282 9.585937 8.292968-.425781 16.972656-2.4375 24.640625.742188 6.546875 2.710937 11.046875 8.710937 15.117187 14.511718.375.53125.75 1.070313 1.128906 1.605469 4.183594 5.925781 12.53125 7.035157 18.167969 2.46875 5.902344-4.78125 6.34375-13.714843.820313-18.929687zm0 0" fill="#d7f9b7"/><path d="m150.824219 98.40625c-5.230469 0-9.46875 4.238281-9.46875 9.46875v112.4375c0 2.105469 1.707031 3.8125 3.816406 3.8125h129.703125v-125.71875zm0 0" fill="#face7a"/><path d="m198.863281 98.40625c4.6875 2.136719 7.953125 6.851562 7.953125 12.335938v101.046874c0 5.488282-3.265625 10.203126-7.953125 12.335938h76.011719v-125.71875zm0 0" fill="#fbb362"/><path d="m238.914062 140.078125h-62.707031c-4.992187 0-9.035156-4.046875-9.035156-9.039063 0-4.988281 4.042969-9.035156 9.035156-9.035156h62.707031c4.992188 0 9.039063 4.046875 9.039063 9.035156 0 4.992188-4.046875 9.039063-9.039063 9.039063zm0 0" fill="#fc9949"/><path d="m238.914062 170.988281h-62.707031c-4.992187 0-9.035156-4.046875-9.035156-9.039062 0-4.992188 4.042969-9.035157 9.035156-9.035157h62.707031c4.992188 0 9.039063 4.046876 9.039063 9.035157 0 4.992187-4.046875 9.039062-9.039063 9.039062zm0 0" fill="#fc9949"/><path d="m238.914062 201.894531h-62.707031c-4.992187 0-9.035156-4.046875-9.035156-9.039062 0-4.992188 4.042969-9.035157 9.035156-9.035157h62.707031c4.992188 0 9.039063 4.042969 9.039063 9.035157 0 4.992187-4.046875 9.039062-9.039063 9.039062zm0 0" fill="#fc9949"/><path d="m36.566406 117.726562c1-9.179687 8.347656-16.605468 17.519532-17.695312 1.8125-.214844 3.585937-.1875 5.289062.054688 2.039062.289062 3.796875-1.371094 3.796875-3.429688 0-.015625 0-.027344 0-.042969 0-24.007812 19.457031-43.464843 43.464844-43.464843 18.132812 0 33.667969 11.105468 40.1875 26.882812.777343 1.882812 2.921875 2.847656 4.800781 2.0625 3.566406-1.492188 7.480469-2.316406 11.589844-2.316406 12.359375 0 22.972656 7.4375 27.628906 18.078125.621094 1.417969 2.113281 2.230469 3.65625 2.101562 1.152344-.097656 2.328125-.097656 3.53125.015625 10.035156.941406 17.976562 9.429688 18.222656 19.507813.277344 11.328125-8.824218 20.597656-20.089844 20.597656h-139.628906c-11.839844 0-21.289062-10.242187-19.96875-22.351563zm0 0" fill="#e0f9fe"/><path d="m68.535156 131.183594c3.882813-14.636719 16.171875-24.796875 30.300782-26.679688 1.683593-.222656 2.921874-1.75 2.691406-3.433594-.441406-3.199218-.269532-6.535156.609375-9.847656 2.644531-9.976562 10.921875-16.949218 20.503906-18.425781 1.277344-.199219 2.253906-1.230469 2.480469-2.503906.167968-.949219.421875-1.902344.769531-2.84375 1.023437-2.78125 2.753906-5.140625 4.914063-6.960938-6.910157-4.632812-15.222657-7.339843-24.167969-7.339843-24.003907 0-43.464844 19.460937-43.464844 43.464843v.046875c0 2.054688-1.757813 3.714844-3.792969 3.429688-1.707031-.242188-3.480468-.269532-5.292968-.054688-9.171876 1.089844-16.519532 8.511719-17.519532 17.695313-1.320312 12.109375 8.128906 22.347656 19.972656 22.347656h10.785157c.03125-2.941406.425781-5.925781 1.210937-8.894531zm0 0" fill="#b9e9fd"/><path d="m311.1875 44.769531c-4.992188 0-9.039062-4.046875-9.039062-9.039062v-26.695313c0-4.988281 4.046874-9.035156 9.039062-9.035156 4.988281 0 9.035156 4.046875 9.035156 9.035156v26.695313c0 4.992187-4.046875 9.039062-9.035156 9.039062zm0 0" fill="#e0f9fe"/><path d="m332.992188 65.316406v-24.070312c0-3.046875-2.46875-5.515625-5.515626-5.515625h-32.582031c-3.042969 0-5.511719 2.46875-5.511719 5.515625v24.070312zm0 0" fill="#b9e9fd"/><path d="m316.703125 35.730469h-21.808594c-3.042969 0-5.511719 2.46875-5.511719 5.515625v24.070312h21.804688v-24.070312c0-3.046875 2.46875-5.515625 5.515625-5.515625zm0 0" fill="#83d3fc"/><path d="m340.113281 62.90625h-57.851562c-5.410157 0-9.796875 4.386719-9.796875 9.792969v151.425781h73.628906c2.105469 0 3.8125-1.707031 3.8125-3.8125v-147.613281c0-5.410157-4.382812-9.792969-9.792969-9.792969zm0 0" fill="#61b6ff"/><path d="m320.980469 62.90625h-38.71875c-5.410157 0-9.796875 4.386719-9.796875 9.792969v151.425781h38.722656v-151.425781c0-5.410157 4.382812-9.792969 9.792969-9.792969zm0 0" fill="#5294e5"/><g fill="#b9e9fd"><path d="m319.796875 140.078125h-17.21875c-4.992187 0-9.039063-4.046875-9.039063-9.039063 0-4.988281 4.046876-9.035156 9.039063-9.035156h17.21875c4.992187 0 9.039063 4.046875 9.039063 9.035156 0 4.992188-4.046876 9.039063-9.039063 9.039063zm0 0"/><path d="m319.796875 170.988281h-17.21875c-4.992187 0-9.039063-4.046875-9.039063-9.039062 0-4.992188 4.046876-9.035157 9.039063-9.035157h17.21875c4.992187 0 9.039063 4.046876 9.039063 9.035157 0 4.992187-4.046876 9.039062-9.039063 9.039062zm0 0"/><path d="m319.796875 109.171875h-17.21875c-4.992187 0-9.039063-4.046875-9.039063-9.035156 0-4.992188 4.046876-9.039063 9.039063-9.039063h17.21875c4.992187 0 9.039063 4.046875 9.039063 9.039063 0 4.988281-4.046876 9.035156-9.039063 9.035156zm0 0"/><path d="m319.796875 201.894531h-17.21875c-4.992187 0-9.039063-4.046875-9.039063-9.039062 0-4.992188 4.046876-9.035157 9.039063-9.035157h17.21875c4.992187 0 9.039063 4.042969 9.039063 9.035157 0 4.992187-4.046876 9.039062-9.039063 9.039062zm0 0"/></g><path d="m306.324219 231.164062c.59375-5.445312 4.953125-9.847656 10.390625-10.496093 1.078125-.128907 2.128906-.109375 3.140625.03125 1.207031.171875 2.25-.8125 2.25-2.03125 0-.011719 0-.019531 0-.027344 0-14.242187 11.542969-25.785156 25.785156-25.785156 10.757813 0 19.972656 6.589843 23.839844 15.949219.460937 1.117187 1.734375 1.6875 2.847656 1.222656 2.117187-.882813 4.4375-1.375 6.875-1.375 7.332031 0 13.628906 4.414062 16.390625 10.726562.367188.839844 1.253906 1.320313 2.171875 1.246094.679687-.058594 1.378906-.058594 2.089844.011719 5.953125.554687 10.667969 5.589843 10.8125 11.566406.164062 6.722656-5.234375 12.222656-11.917969 12.222656h-82.828125c-7.023437 0-12.628906-6.078125-11.847656-13.261719zm0 0" fill="#e0f9fe"/><path d="m344.96875 230.09375c1.171875-.285156 1.929688-1.457031 1.640625-2.628906-.550781-2.226563-.683594-4.597656-.3125-7.003906 1.117187-7.246094 6.4375-12.796876 13.097656-14.5625.886719-.238282 1.5-1.039063 1.5625-1.957032.050781-.683594.15625-1.375.328125-2.066406.371094-1.472656 1.015625-2.816406 1.867188-3.996094-4.273438-3.148437-9.546875-5.023437-15.261719-5.023437-14.242187 0-25.785156 11.542969-25.785156 25.785156v.027344c0 1.21875-1.042969 2.203125-2.25 2.03125-1.011719-.140625-2.0625-.160157-3.140625-.03125-5.4375.648437-9.796875 5.050781-10.390625 10.496093-.78125 7.183594 4.824219 13.261719 11.847656 13.261719h9.449219c3.292968-7.207031 9.738281-12.480469 17.347656-14.332031zm0 0" fill="#b9e9fd"/><path d="m36.515625 305.984375c.59375-5.445313 4.953125-9.847656 10.390625-10.496094 1.078125-.125 2.128906-.109375 3.140625.035157 1.207031.167968 2.253906-.816407 2.25-2.035157 0-.007812 0-.019531 0-.027343 0-14.238282 11.546875-25.785157 25.785156-25.785157 10.757813 0 19.972657 6.589844 23.839844 15.949219.460937 1.117188 1.734375 1.6875 2.847656 1.222656 2.117188-.882812 4.441407-1.375 6.875-1.375 7.332031 0 13.628907 4.414063 16.390625 10.726563.367188.839843 1.253906 1.324219 2.171875 1.246093.683594-.058593 1.382813-.054687 2.09375.011719 5.953125.558594 10.664063 5.59375 10.808594 11.570313.164063 6.71875-5.234375 12.21875-11.917969 12.21875h-82.828125c-7.023437 0-12.632812-6.078125-11.847656-13.261719zm0 0" fill="#e0f9fe"/><path d="m75.15625 304.914062c1.175781-.285156 1.933594-1.457031 1.644531-2.628906-.554687-2.226562-.683593-4.59375-.3125-7.003906 1.117188-7.246094 6.4375-12.796875 13.097657-14.5625.886718-.238281 1.5-1.039062 1.5625-1.957031.046874-.683594.15625-1.375.328124-2.066407.371094-1.46875 1.015626-2.816406 1.863282-3.996093-4.273438-3.148438-9.542969-5.023438-15.261719-5.023438-14.238281 0-25.78125 11.546875-25.78125 25.785157v.027343c0 1.21875-1.042969 2.203125-2.25 2.035157-1.011719-.144532-2.066406-.160157-3.140625-.035157-5.441406.648438-9.800781 5.050781-10.394531 10.496094-.78125 7.183594 4.824219 13.261719 11.847656 13.261719h9.449219c3.296875-7.207032 9.742187-12.480469 17.347656-14.332032zm0 0" fill="#b9e9fd"/></svg>
\ No newline at end of file
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/Space/034-alien.svg b/src/backend/base/langflow/initial_setup/profile_pictures/Space/034-alien.svg
new file mode 100644
index 00000000000..c1f232eab0a
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/Space/034-alien.svg
@@ -0,0 +1 @@
+<svg height="512pt" viewBox="-10 0 511 512" width="512pt" xmlns="http://www.w3.org/2000/svg"><path d="m456.304688 391.886719c21.714843-36.570313 34.195312-79.269531 34.195312-124.886719 0-135.308594-109.6875-245-245-245s-245 109.691406-245 245c0 45.613281 12.480469 88.304688 34.1875 124.875zm0 0" fill="#162680"/><path d="m456.894531 390.886719c-6.921875-17.320313-14.15625-31.984375-21.132812-44.21875-.019531-.03125-.039063-.066407-.054688-.097657-21.394531-37.46875-40.347656-52.347656-40.347656-52.347656h-2.460937c-48.402344 72.949219-18.664063 141.792969-18.664063 141.792969 1.023437 3.296875 1.585937 6.96875 1.824219 10.914063 0 0-2.007813 8.960937.511718 27.085937 32.9375-20.898437 60.539063-49.4375 80.324219-83.128906zm0 0" fill="#83d3fc"/><path d="m420.140625 438.78125c-8.777344-70.632812-49.492187-92.398438-50.28125-92.8125-12.609375 50.710938 4.375 90.046875 4.375 90.046875 1.019531 3.296875 1.585937 6.96875 1.824219 10.914063 0 0-2.011719 8.960937.511718 27.085937 15.855469-10.0625 30.460938-21.910156 43.570313-35.234375zm0 0" fill="#61b6ff"/><path d="m395.359375 294.222656h-2.460937c-48.402344 72.949219-18.664063 141.792969-18.664063 141.792969.253906.820313.480469 1.664063.679687 2.53125 14.535157-49.609375 37.191407-83.664063 53.789063-103.601563-18.355469-28.945312-33.34375-40.722656-33.34375-40.722656zm0 0" fill="#61b6ff"/><path d="m400 377.515625c-14-22.921875-29.652344-31.289063-30.140625-31.546875-12.605469 50.710938 4.375 90.046875 4.375 90.046875.253906.820313.480469 1.664063.679687 2.53125 7.003907-23.902344 15.894532-44.1875 25.085938-61.03125zm0 0" fill="#5294e5"/><path d="m95.640625 294.222656s-33.378906 26.195313-61.542969 96.652344c19.785156 33.695312 47.390625 62.238281 80.332032 83.140625 2.519531-18.125.511718-27.085937.511718-27.085937.238282-3.945313.804688-7.617188 1.824219-10.914063 0 0 29.742187-68.84375-18.664063-141.792969zm0 0" fill="#83d3fc"/><path d="m70.765625 438.6875c13.132813 13.363281 27.769531 25.242188 43.664063 35.328125 2.519531-18.125.511718-27.085937.511718-27.085937.238282-3.945313.804688-7.617188 1.824219-10.914063 0 0 16.980469-39.332031 4.375-90.042969l-.085937-.015625c.003906 0-41.402344 21.480469-50.289063 92.730469zm0 0" fill="#61b6ff"/><path d="m95.640625 294.222656h2.460937c48.40625 72.949219 18.664063 141.792969 18.664063 141.792969-.253906.820313-.480469 1.664063-.679687 2.53125-14.535157-49.609375-37.191407-83.664063-53.789063-103.601563 18.355469-28.945312 33.34375-40.722656 33.34375-40.722656zm0 0" fill="#61b6ff"/><path d="m90.953125 377.425781c9.207031 16.859375 18.117187 37.175781 25.132813 61.121094.199218-.867187.425781-1.710937.679687-2.53125 0 0 16.980469-39.332031 4.375-90.042969l-.082031-.015625s-15.898438 8.25-30.105469 31.46875zm0 0" fill="#5294e5"/><path d="m338.867188 258.574219c-14.363282 21.140625-53.875 45.085937-93.367188 45.085937-39.464844 0-73.28125-14.835937-87.667969-35.953125l-62.191406 26.515625c48.40625 72.949219 18.664063 141.792969 18.664063 141.792969-3.113282 10.054687-2.03125 23.554687-.164063 37.820313 37.960937 24.160156 83.023437 38.164062 131.359375 38.164062s93.398438-14.003906 131.363281-38.164062c1.863281-14.265626 2.945313-27.765626-.167969-37.820313 0 0-29.738281-68.84375 18.664063-141.792969zm0 0" fill="#b9e9fd"/><path d="m376.191406 434.753906c-7.824218 21.273438-28.328125 36.550782-52.226562 36.550782h-156.765625c-23.984375 0-44.542969-15.386719-52.304688-36.773438-.367187.96875-.589843 1.484375-.589843 1.484375-3.113282 10.054687-2.03125 23.554687-.164063 37.820313 37.960937 24.160156 83.023437 38.164062 131.359375 38.164062s93.398438-14.003906 131.363281-38.167969c1.863281-14.261719 2.945313-27.761719-.167969-37.816406 0 0-.1875-.433594-.503906-1.261719zm0 0" fill="#83d3fc"/><path d="m235.140625 304.617188v207.148437c3.4375.144531 6.886719.234375 10.359375.234375 4.785156 0 9.535156-.152344 14.253906-.421875v-207.269531c-4.652344.433594-9.40625.667968-14.253906.667968-3.503906 0-6.953125-.128906-10.359375-.359374zm0 0" fill="#e0f9fe"/><path d="m235.140625 304.617188v207.148437c3.4375.144531 6.886719.234375 10.359375.234375 4.785156 0 9.535156-.152344 14.253906-.421875v-207.269531c-4.652344.433594-9.40625.667968-14.253906.667968-3.503906 0-6.953125-.128906-10.359375-.359374zm0 0" fill="#e0f9fe"/><path d="m247.699219 483.476562c-6.597657.058594-11.464844-4.441406-12.558594-10.023437v38.3125c3.4375.144531 6.886719.234375 10.359375.234375 4.785156 0 9.535156-.152344 14.253906-.421875v-38.128906c-1.105468 5.667969-6.066406 9.976562-12.054687 10.027343zm0 0" fill="#b9e9fd"/><path d="m331.222656 241.484375c-12.265625-6.574219-38-16.839844-80.25-17.664063-1.824218-.03125-3.648437-.054687-5.46875-.054687h-.003906c-1.824219 0-3.652344.023437-5.476562.054687-42.773438.835938-68.753907 11.34375-80.914063 17.90625-.386719.226563-4.011719 2.425782-6.007813 6.847657 26.089844 18.53125 57.960938 29.453125 92.398438 29.453125 34.316406 0 66.082031-10.84375 92.117188-29.257813-2.183594-4.609375-5.972657-7.027343-6.394532-7.285156zm0 0" fill="#61b6ff"/><path d="m245.5 280.492188c32.320312 0 64.828125-9.78125 87.535156-28.5625-57.386718-15.054688-117.683594-15.054688-175.066406 0 24.066406 18.78125 55.214844 28.5625 87.53125 28.5625zm0 0" fill="#5294e5"/><path d="m311.304688 266.144531c-10.234376-5.425781-21.363282-14.769531-21.363282-29.78125h-42.492187v43.917969c22.75-.273438 44.347656-5.296875 63.855469-14.136719zm0 0" fill="#00c82f"/><path d="m245.5 280.320312c.652344 0 1.296875-.03125 1.945312-.039062v-43.917969h-42.492187c0 15.890625-12.46875 25.429688-23.148437 30.695313 19.515624 8.507812 41.042968 13.261718 63.695312 13.261718zm0 0" fill="#04ad24"/><path d="m337.617188 248.769531c-26.035157 18.410157-57.800782 29.261719-92.117188 29.261719-34.4375 0-66.304688-10.929688-92.394531-29.460938-1.28125 2.84375-1.890625 6.601563-.53125 11.351563 9.261719 26.40625 47.339843 46.199219 92.929687 46.199219 46.359375 0 84.949219-20.464844 93.367188-47.546875.691406-3.964844-.027344-7.222657-1.253906-9.804688zm0 0" fill="#83d3fc"/><path d="m295.453125 278.820312c0-4.1875 1.882813-7.9375 4.839844-10.457031-17.085938 6.25-35.539063 9.664063-54.792969 9.664063-34.4375 0-66.304688-10.925782-92.394531-29.457032-1.285157 2.84375-1.890625 6.601563-.53125 11.351563 9.261719 26.40625 47.335937 46.199219 92.925781 46.199219 23.328125 0 44.683594-5.183594 61.222656-13.785156-6.410156-1.167969-11.269531-6.769532-11.269531-13.515626zm0 0" fill="#61b6ff"/><path d="m354.824219 105.070312c-.007813-.003906-.011719-.003906-.019531-.007812-1.347657-.628906-2.207032-1.972656-2.355469-3.453125-5.691407-57.128906-50.433594-101.609375-104.792969-101.609375-54.292969 0-98.992188 44.375-104.769531 101.40625-.152344 1.488281-1.042969 2.804688-2.386719 3.460938-.117188.058593-.234375.117187-.355469.171874-8.898437 4.101563-15.113281 13.117188-15.113281 23.511719v21.996094c0 10.261719 6.054688 19.175781 14.761719 23.355469 3.78125 1.8125 6.816406 4.894531 8.476562 8.742187 3.21875 7.464844 7.253907 14.496094 12 20.976563 14.535157 19.863281 28.089844 40.429687 40.015625 61.964844l4.882813 8.820312c18.394531 33.226562 66.164062 33.226562 84.558593 0l5.46875-9.878906c11.726563-21.175782 25.117188-41.351563 39.414063-60.882813 4.75-6.488281 8.792969-13.527343 12.019531-21.003906 1.65625-3.847656 4.695313-6.925781 8.472656-8.738281 8.710938-4.179688 14.761719-13.09375 14.761719-23.351563v-21.996093c0-10.371094-6.179687-19.363282-15.039062-23.484376zm0 0" fill="#a2ec00"/><path d="m257.195312.464844c-3.140624-.304688-6.324218-.464844-9.539062-.464844-54.292969 0-98.992188 44.375-104.769531 101.40625-.152344 1.488281-1.042969 2.804688-2.386719 3.460938-.117188.058593-.234375.117187-.355469.171874-8.898437 4.101563-15.113281 13.117188-15.113281 23.511719v21.996094c0 10.261719 6.054688 19.175781 14.761719 23.355469 3.78125 1.8125 6.816406 4.894531 8.476562 8.742187 3.21875 7.464844 7.253907 14.496094 12 20.976563 14.535157 19.863281 28.089844 40.429687 40.015625 61.964844l4.882813 8.820312c10.152343 18.335938 29.25 26.546875 47.421875 24.644531-27.355469-6.667969-17.617188-28.027343-33.5625-57.953125-12.6875-23.808594-6.757813-41.355468-3.613282-47.8125.675782-1.386718.339844-3.007812-.71875-4.136718-1.164062-1.238282-1.257812-2.75-1.078124-3.914063.183593-1.179687-.21875-2.386719-1.101563-3.191406-5.078125-4.613281-4.542969-10.367188-3.667969-13.597657.402344-1.492187-.1875-3.066406-1.464844-3.941406-12.128906-8.308594-9.164062-22.113281-7.757812-26.691406.304688-.992188.140625-2.054688-.390625-2.941406-6.800781-11.324219 4-16.75 4-16.75 8.953125-5.96875 1.761719-15.949219 1.761719-15.949219-24.546875-83.5625 52.199218-101.707031 52.199218-101.707031zm0 0" fill="#00c82f"/><path d="m264.773438 236.628906c-.035157 0-3.722657-.078125-6.878907-1.851562-1.550781-.875-3.421875-.980469-5.0625-.289063l-3.90625 1.648438-3.910156-1.648438c-1.640625-.691406-3.511719-.585937-5.066406.289063-3.117188 1.753906-6.761719 1.847656-6.910157 1.851562-3.164062.019532-5.726562 2.589844-5.726562 5.761719 0 3.183594 2.578125 5.765625 5.761719 5.765625.570312 0 5.007812-.066406 9.84375-2.042969l3.765625 1.589844c1.445312.609375 3.042968.609375 4.480468 0l3.765626-1.589844c4.835937 1.976563 9.273437 2.042969 9.84375 2.042969 3.183593 0 5.761718-2.582031 5.761718-5.765625 0-3.179687-2.582031-5.761719-5.761718-5.761719zm0 0" fill="#00c82f"/><path d="m326.429688 118.269531c-11.996094-10.332031-34.730469-3.605469-50.78125 15.023438-16.050782 18.628906-19.335938 42.109375-7.34375 52.445312 11.996093 10.332031 34.730468 3.605469 50.78125-15.023437 16.050781-18.628906 19.339843-42.109375 7.34375-52.445313zm0 0" fill="#d7f9b7"/><path d="m316.46875 164.160156c0-16.609375-13.464844-30.078125-30.082031-30.078125-5.128907 0-9.957031 1.285157-14.183594 3.550781-13.007813 17.792969-14.976563 38.550782-3.898437 48.097657 10.792968 9.296875 30.28125 4.777343 45.769531-9.792969 1.539062-3.617188 2.394531-7.597656 2.394531-11.777344zm0 0" fill="#4374d3"/><path d="m222.195312 133.277344c-16.050781-18.628906-38.789062-25.355469-50.78125-15.019532-11.996093 10.332032-8.707031 33.8125 7.34375 52.441407 16.050782 18.632812 38.785157 25.355469 50.78125 15.023437 11.992188-10.335937 8.707032-33.8125-7.34375-52.445312zm0 0" fill="#d7f9b7"/><path d="m215.5625 190.574219c-.179688-.519531-.472656-1.007813-.867188-1.425781-1.164062-1.238282-1.257812-2.75-1.078124-3.917969.183593-1.179688-.21875-2.386719-1.101563-3.191407-5.078125-4.613281-4.542969-10.367187-3.667969-13.597656.402344-1.492187-.1875-3.0625-1.464844-3.9375-12.128906-8.308594-9.164062-22.117187-7.757812-26.695312.304688-.988282.140625-2.054688-.390625-2.941406-6.800781-11.324219 4-16.746094 4-16.746094-11.957031-6.085938-24.105469-6.503906-31.816406.140625-11.996094 10.332031-8.707031 33.8125 7.34375 52.441406 10.996093 12.769531 25.128906 19.941406 36.800781 19.871094zm0 0" fill="#8fe98a"/><path d="m181.378906 164.160156c0-16.609375 13.464844-30.078125 30.082032-30.078125 5.128906 0 9.953124 1.285157 14.179687 3.550781 13.011719 17.792969 14.980469 38.550782 3.898437 48.097657-10.792968 9.296875-30.277343 4.777343-45.765624-9.792969-1.542969-3.617188-2.394532-7.597656-2.394532-11.777344zm0 0" fill="#4374d3"/><path d="m215.558594 190.570312c-.179688-.515624-.472656-1.003906-.863282-1.421874-1.164062-1.238282-1.257812-2.75-1.078124-3.917969.183593-1.179688-.21875-2.386719-1.101563-3.191407-5.078125-4.613281-4.542969-10.367187-3.667969-13.597656.402344-1.492187-.1875-3.0625-1.464844-3.9375-12.128906-8.308594-9.164062-22.117187-7.757812-26.695312.140625-.449219.175781-.910156.128906-1.367188-10.796875 4.566406-18.375 15.257813-18.375 27.71875 0 4.183594.851563 8.160156 2.394532 11.777344 10.070312 9.472656 21.824218 14.691406 31.785156 14.632812zm0 0" fill="#3957c9"/><path d="m219.023438 175.21875c0 5.121094-4.148438 9.273438-9.269532 9.273438-5.125 0-9.273437-4.152344-9.273437-9.273438s4.148437-9.273438 9.273437-9.273438c5.121094 0 9.269532 4.152344 9.269532 9.273438zm0 0" fill="#61b6ff"/><g fill="#00c82f"><path d="m212.449219 60.867188c0 5.121093-4.152344 9.273437-9.273438 9.273437-5.121093 0-9.273437-4.152344-9.273437-9.273437 0-5.121094 4.152344-9.273438 9.273437-9.273438 5.121094 0 9.273438 4.152344 9.273438 9.273438zm0 0"/><path d="m244.617188 53.195312c0 5.121094-4.152344 9.273438-9.273438 9.273438s-9.273438-4.152344-9.273438-9.273438c0-5.121093 4.152344-9.273437 9.273438-9.273437s9.273438 4.152344 9.273438 9.273437zm0 0"/><path d="m209.753906 90.460938c0 5.121093-4.152344 9.273437-9.273437 9.273437-5.121094 0-9.273438-4.152344-9.273438-9.273437 0-5.121094 4.152344-9.273438 9.273438-9.273438 5.121093 0 9.273437 4.152344 9.273437 9.273438zm0 0"/><path d="m222.371094 36.949219c0 8.972656-7.273438 16.246093-16.246094 16.246093s-16.246094-7.273437-16.246094-16.246093c0-8.972657 7.273438-16.25 16.246094-16.25s16.246094 7.277343 16.246094 16.25zm0 0"/></g><path d="m268.308594 185.730469c7.476562 6.441406 19.132812 6.246093 30.738281.671875-5.070313-.003906-3.714844-5.390625-3.714844-5.390625l-7.238281-15.066407c-18.949219-6.613281-15.890625-28.3125-15.890625-28.3125-13.007813 17.792969-14.976563 38.550782-3.894531 48.097657zm0 0" fill="#3957c9"/><path d="m297.367188 175.21875c0 5.121094-4.152344 9.273438-9.273438 9.273438s-9.273438-4.152344-9.273438-9.273438 4.152344-9.273438 9.273438-9.273438 9.273438 4.152344 9.273438 9.273438zm0 0" fill="#61b6ff"/><path d="m311.304688 375.238281c-6.199219 0-11.445313-5.042969-11.445313-11.457031 0-7.351562 6.769531-12.609375 13.679687-11.21875 5.429688 1.105469 9.214844 5.804688 9.214844 11.21875-.003906 6.394531-5.226562 11.457031-11.449218 11.457031zm0 0" fill="#face7a"/><path d="m311.304688 412.851562c-6.171876 0-11.445313-5.011718-11.445313-11.457031 0-7.304687 6.734375-12.621093 13.679687-11.21875 5.410157 1.097657 9.214844 5.792969 9.214844 11.21875-.003906 6.335938-5.175781 11.457031-11.449218 11.457031zm0 0" fill="#f948b4"/><path d="m200.867188 497.847656h-35.328126c-7.554687 0-13.734374-6.183594-13.734374-13.738281v-117.894531c0-7.554688 6.179687-13.738282 13.734374-13.738282h35.328126c7.554687 0 13.734374 6.183594 13.734374 13.738282v117.894531c0 7.554687-6.179687 13.738281-13.734374 13.738281zm0 0" fill="#61b6ff"/><path d="m167.199219 471.304688c-5.335938 0-10.5-.777344-15.394531-2.195313v15c0 7.554687 6.179687 13.738281 13.734374 13.738281h35.328126c7.554687 0 13.734374-6.183594 13.734374-13.738281v-12.804687zm0 0" fill="#5294e5"/><path d="m200.867188 352.476562h-35.328126c-7.554687 0-13.734374 6.183594-13.734374 13.738282v24.898437c0 7.554688 6.179687 13.738281 13.734374 13.738281h35.328126c7.554687 0 13.734374-6.183593 13.734374-13.738281v-24.898437c0-7.554688-6.179687-13.738282-13.734374-13.738282zm0 0" fill="#83d3fc"/></svg>
\ No newline at end of file
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/Space/035-globe.svg b/src/backend/base/langflow/initial_setup/profile_pictures/Space/035-globe.svg
new file mode 100644
index 00000000000..de37ab08208
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/Space/035-globe.svg
@@ -0,0 +1 @@
+<svg height="511pt" viewBox="-10 0 511 511.99991" width="511pt" xmlns="http://www.w3.org/2000/svg"><path d="m245.5 22c-135.308594 0-245 109.6875-245 245 0 105.789062 67.050781 195.917969 160.976562 230.207031l173.289063-1.984375c91.167969-35.6875 155.734375-124.410156 155.734375-228.222656 0-135.3125-109.691406-245-245-245zm0 0" fill="#162680"/><path d="m338.328125 362.589844-16.886719-29.246094c-2.246094-3.890625-.914062-8.863281 2.976563-11.109375s8.863281-.914063 11.109375 2.976563l16.886718 29.246093c2.246094 3.890625.914063 8.863281-2.976562 11.109375-3.875 2.234375-8.855469.929688-11.109375-2.976562zm0 0" fill="#e0f9fe"/><path d="m155.496094 45.917969-16.882813-29.242188c-2.246093-3.890625-.914062-8.867187 2.976563-11.113281 3.890625-2.242188 8.863281-.914062 11.109375 2.976562l16.886719 29.246094c2.246093 3.890625.910156 8.867188-2.976563 11.113282-3.875 2.234374-8.855469.929687-11.113281-2.980469zm0 0" fill="#e0f9fe"/><path d="m245.832031 385.617188c-17.371093 0-34.855469-2.28125-52.085937-6.898438-51.597656-13.824219-94.71875-46.914062-121.429688-93.175781-55.132812-95.496094-22.296875-218.046875 73.199219-273.179688 7.640625-4.414062 15.667969-8.363281 23.855469-11.746093 4.152344-1.710938 8.90625.261718 10.621094 4.414062 1.714843 4.148438-.257813 8.90625-4.410157 10.621094-7.527343 3.109375-14.910156 6.742187-21.933593 10.796875-87.726563 50.652343-117.894532 163.230469-67.246094 250.960937 24.539062 42.496094 64.15625 72.894532 111.554687 85.597656 47.402344 12.699219 96.910157 6.179688 139.40625-18.355468 7.023438-4.054688 13.859375-8.628906 20.320313-13.59375 3.558594-2.742188 8.667968-2.074219 11.402344 1.488281 2.738281 3.558594 2.070312 8.667969-1.488282 11.402344-7.027344 5.40625-14.464844 10.378906-22.101562 14.789062-30.8125 17.792969-65.015625 26.878907-99.664063 26.878907zm0 0" fill="#c78fe8"/><path d="m87.441406 279.15625c-51.964844-87.78125-22.308594-201.601562 66.207032-252.707031 7.023437-4.054688 14.40625-7.6875 21.933593-10.796875 4.152344-1.714844 6.128907-6.472656 4.414063-10.625-1.714844-4.148438-6.472656-6.121094-10.625-4.410156-8.1875 3.378906-16.210938 7.332031-23.855469 11.746093-95.777344 55.296875-129.207031 179.226563-71.738281 275.636719.589844-6.609375 7.242187-11.054688 13.664062-8.84375zm0 0" fill="#b26cde"/><path d="m257.144531 365.792969c-5.855469.175781-11.707031.101562-17.53125-.214844-3.71875-.207031-6.855469 2.726563-6.855469 6.449219v44.460937h31.078126v-44.238281c0-3.660156-3.03125-6.566406-6.691407-6.457031zm0 0" fill="#61b6ff"/><path d="m389.207031 102.417969c-45.742187-79.222657-147.046875-106.367188-226.269531-60.625-79.222656 45.742187-106.367188 147.046875-60.625 226.269531 45.738281 79.222656 147.042969 106.367188 226.265625 60.625 79.226563-45.742188 106.367187-147.046875 60.628906-226.269531zm0 0" fill="#83d3fc"/><path d="m279.535156 23.089844c-38.457031-8.023438-79.890625-2.484375-116.59375 18.703125-79.222656 45.742187-106.371094 147.046875-60.628906 226.273437 13.871094 24.023438 32.851562 43.246094 54.773438 57.113282-15.722657-44.242188 2.929687-67.375 22.925781-87.371094 12.957031-12.957032 9.6875-28.898438 5.648437-38.703125-4.472656-10.863281-6.316406-22.660157-5.214844-34.359375 5.667969-60.164063 64.894532-31.167969 59.363282-64.164063-3.4375-20.515625 1.691406-29.820312 6.921875-34.035156 4.226562-3.40625 6.617187-8.65625 6-14.050781-2.890625-25.203125 20.328125-28.871094 26.804687-29.40625zm0 0" fill="#5294e5"/><path d="m270.160156 261.636719c-6.820312-.832031-13.339844-6.824219-15.703125-13.714844-3.152343-9.183594-1.351562-19.210937-.652343-28.894531.699218-9.6875-.191407-20.503906-7.164063-27.261719-5.683594-5.5-14.132813-6.988281-22.042969-7.089844-12.726562-.167969-25.480468 2.589844-36.996094 8.003907-5.6875 2.671874-11.207031 6.023437-17.824218 5.746093-2.367188-.097656-4.710938-.796875-6.621094-2.199219-6.175781-4.542968-4.582031-12.4375-4.148438-19.308593.378907-6.023438-1.734374-13.648438-7.710937-14.492188-2.058594-.289062-4.117187.351563-6.171875.679688-14.058594 2.230469-27.699219-14.011719-22.074219-27.5.320313-.761719.554688-1.570313.546875-2.398438-.050781-6.8125-7.242187-5.804687-12.34375-5.074219-6.71875.964844-13.554687-.824218-19.28125-4.429687-18.175781 45.519531-16.066406 98.621094 10.34375 144.363281 29.175782 50.539063 80.964844 79.875 135.207032 82.628906 3.878906-6.195312 6.554687-13.222656 8.011718-20.394531.535156-2.636719.917969-5.402343.175782-7.988281-.671876-2.355469-2.21875-4.34375-3.339844-6.519531-6.1875-11.96875 2.253906-27.617188 14.667968-32.84375 5.613282-2.363281 11.953126-3.203125 16.894532-6.757813.269531-.195312.535156-.402344.789062-.621094 5.316406-4.566406 2.394532-13.089843-4.5625-13.933593zm0 0" fill="#5294e5"/><path d="m157.085938 325.171875c-15.71875-44.238281 2.929687-67.367187 22.925781-87.363281 12.957031-12.957032 9.6875-28.898438 5.648437-38.703125-.628906-1.53125-1.203125-3.082031-1.726562-4.648438-4.453125 2.167969-8.964844 4.183594-14.15625 3.96875-2.371094-.097656-4.710938-.800781-6.621094-2.203125-6.175781-4.539062-4.582031-12.433594-4.148438-19.308594.378907-6.019531-1.734374-13.644531-7.710937-14.488281-2.0625-.289062-4.117187.351563-6.171875.675781-14.058594 2.230469-27.699219-14.011718-22.074219-27.496093.316407-.761719.550781-1.570313.546875-2.398438-.050781-6.816406-7.242187-5.808593-12.34375-5.074219-6.71875.960938-13.558594-.824218-19.28125-4.429687-18.179687 45.519531-16.070312 98.621094 10.339844 144.363281 13.871094 24.023438 32.851562 43.242188 54.773438 57.105469zm0 0" fill="#4374d3"/><path d="m165.117188 40.574219c-2.222657 10.871093.894531 22.9375 8.816406 30.796875 2.277344 2.257812 5.015625 4.394531 5.808594 7.5.621093 2.441406-.097657 4.992187-.640626 7.449218-.007812.035157-.011718.066407-.019531.097657-1.132812 5.179687 5.609375 8.328125 8.902344 4.167969 6.664063-8.421876 7.578125-22.464844 16.050781-15.921876 13.589844 10.492188 22.648438-.523437 22.648438-.523437 4.09375-6.484375 12.4375-8.539063 19.957031-10.050781 7.785156-1.5625 19.050781-1.101563 17.917969 9.078125-.183594 1.621093-.773438 3.136719-1.65625 4.472656-2.4375 3.683594-2.070313 8.667969.996094 11.847656 2.507812 2.605469 6.855468 4.078125 14.378906 1.355469 12.339844-4.535156 26.339844-4.382812 38.582031.421875 1.714844.671875 3.492187 1.507813 4.515625 3.046875 1.511719 2.265625.925781 5.296875.050781 7.878906-5.664062 16.683594-21.191406 30.5625-20.070312 48.148438.714843 11.246094 8.363281 20.894531 16.976562 28.160156 7.855469 6.625 16.789063 11.964844 26.34375 15.734375 6.0625 2.394531 12.738281 4.410156 16.800781 9.503906 3.546876 4.445313 4.402344 10.390625 5.132813 16.023438 1.066406 8.210937 2.132813 16.421875 3.195313 24.628906.289062 2.21875.46875 4.777344-1.101563 6.371094-1.257813 1.277343-3.273437 1.5-4.640625 2.660156-1.792969 1.523437-1.996094 4.21875-1.644531 6.546875 1.46875 9.730469 10.464843 16.996094 20.230469 18.617188 34.667968-50.921876 39.429687-119.242188 6.566406-176.164063-45.324219-78.503906-145.199219-105.855469-224.097656-61.847656zm0 0" fill="#a2ec00"/><path d="m165.117188 40.574219c-2.222657 10.871093.894531 22.9375 8.816406 30.796875 2.277344 2.257812 5.015625 4.394531 5.808594 7.5.621093 2.441406-.097657 4.992187-.640626 7.449218-.007812.03125-.011718.066407-.019531.097657-1.132812 5.179687 5.609375 8.324219 8.902344 4.167969 6.664063-8.421876 7.578125-22.464844 16.050781-15.921876 13.589844 10.492188 22.648438-.523437 22.648438-.523437 4.09375-6.484375 12.4375-8.539063 19.957031-10.050781.933594-.1875 1.921875-.347656 2.929687-.460938 2.402344-3.160156 3.621094-7.105468 3.160157-11.132812-2.886719-25.175782 20.277343-28.863282 26.78125-29.40625-37.691407-7.851563-78.246094-2.679688-114.394531 17.484375zm0 0" fill="#00c82f"/><path d="m258.515625 123.371094c-1.484375-.351563-2.945313-.777344-4.347656-1.390625-4.070313-1.773438-7.699219-5.953125-6.683594-10.277344.269531-1.148437.847656-2.21875.988281-3.390625.222656-1.847656-.695312-3.671875-1.933594-5.0625-4.132812-4.636719-11.367187-5.148438-17.316406-3.355469-5.945312 1.792969-11.132812 5.441407-16.730468 8.136719-4.5 2.167969-7.917969 2.050781-12.089844.742188-2.101563-.664063-4.390625-.378907-6.238282.828124-5.34375 4.03125-5.601562 11.886719-4.769531 18.53125.492188 3.960938 1.632813 8.496094 5.265625 10.152344 1.359375.621094 2.914063.734375 4.269532 1.371094 2.726562 1.289062 4.089843 4.386719 6.46875 6.246094 4.617187 3.609375 11.449218 1.550781 16.367187-1.636719s9.519531-7.480469 15.328125-8.246094c4.960938-.652343 9.832031 1.425781 14.367188 3.539063.417968.191406.835937.390625 1.257812.582031 4.652344 2.144531 10.148438-.121094 11.980469-4.902344 1.921875-5.011719-.960938-10.628906-6.183594-11.867187zm0 0" fill="#a2ec00"/><path d="m239.808594 100.582031c-.070313-.410156-.128906-.8125-.191406-1.21875-3.359376-.75-7.078126-.46875-10.394532.53125-5.945312 1.792969-11.132812 5.441407-16.730468 8.136719-4.5 2.167969-7.917969 2.050781-12.089844.742188-2.101563-.664063-4.390625-.378907-6.238282.828124-5.34375 4.03125-5.601562 11.886719-4.769531 18.53125.308594 2.484376.875 5.195313 2.148438 7.277344 18.542969-20.710937 52.515625-9.476562 48.265625-34.828125zm0 0" fill="#00c82f"/><path d="m115.285156 96.332031c6.144532-1.425781 10.320313-.339843 15.101563 2.433594 2.40625 1.394531 5.304687 1.679687 7.914062.703125 7.699219-3.488281 10.1875-13.101562 11.003907-21.515625.484374-5.015625.335937-10.917969-3.679688-13.960937-1.507812-1.140626-3.390625-1.710938-4.882812-2.871094-.824219-.644532-1.484376-1.429688-2.058594-2.289063-13.921875 11.765625-25.527344 25.535157-34.640625 40.617188 3.742187-1.046875 7.464843-2.238281 11.242187-3.117188zm0 0" fill="#4374d3"/><path d="m389.214844 102.425781c-6.484375-11.234375-14.089844-21.414062-22.585938-30.492187-6.671875 14.4375-18.953125 27.191406-17.953125 42.90625.714844 11.25 8.363281 20.894531 16.976563 28.164062 7.855468 6.625 16.789062 11.960938 26.34375 15.734375 6.0625 2.390625 12.738281 4.410157 16.804687 9.503907.828125 1.042968 1.507813 2.167968 2.078125 3.351562-1.941406-23.652344-9.011718-47.253906-21.664062-69.167969zm0 0" fill="#d7f9b7"/><path d="m258.324219 363.601562c-6.636719.199219-13.265625.117188-19.871094-.246093-4.214844-.230469-7.769531 3.089843-7.769531 7.3125v15.445312c0 4.222657 3.554687 7.542969 7.769531 7.3125 6.605469-.363281 13.234375-.445312 19.871094-.246093 4.148437.125 7.585937-3.167969 7.585937-7.316407v-14.945312c0-4.144531-3.4375-7.441407-7.585937-7.316407zm0 0" fill="#b9e9fd"/><path d="m248.296875 386.113281v-15.445312c0-3.296875 2.171875-6.035157 5.128906-6.972657-5 .046876-9.992187-.066406-14.972656-.339843-4.214844-.230469-7.769531 3.089843-7.769531 7.3125v15.445312c0 4.222657 3.554687 7.542969 7.769531 7.3125 4.980469-.273437 9.972656-.386719 14.972656-.339843-2.957031-.9375-5.128906-3.675782-5.128906-6.972657zm0 0" fill="#83d3fc"/><path d="m283.429688 429.859375c0-8.582031-6.957032-15.539063-15.539063-15.539063h-39.1875c-8.582031 0-15.539063 6.957032-15.539063 15.539063s6.957032 15.539063 15.539063 15.539063h39.1875c8.582031 0 15.539063-6.957032 15.539063-15.539063zm0 0" fill="#e0f9fe"/><path d="m248.296875 429.859375c0-8.582031 6.957031-15.539063 15.539063-15.539063h-35.132813c-8.582031 0-15.539063 6.957032-15.539063 15.539063s6.957032 15.539063 15.539063 15.539063h35.132813c-8.582032 0-15.539063-6.957032-15.539063-15.539063zm0 0" fill="#b9e9fd"/><path d="m314.878906 459.855469c0-8.582031-6.957031-15.539063-15.542968-15.539063h-102.078126c-8.585937 0-15.542968 6.957032-15.542968 15.539063s6.957031 15.539062 15.542968 15.539062h102.082032c8.582031 0 15.539062-6.957031 15.539062-15.539062zm0 0" fill="#b9e9fd"/><path d="m216.847656 459.855469c0-8.582031 6.957032-15.539063 15.539063-15.539063h-35.128907c-8.585937 0-15.542968 6.957032-15.542968 15.539063s6.957031 15.539062 15.542968 15.539062h35.128907c-8.582031 0-15.539063-6.957031-15.539063-15.539062zm0 0" fill="#83d3fc"/><path d="m312.613281 474.308594h-128.632812c-12.773438 0-23.410157 9.59375-25.074219 21.929687 26.925781 10.175781 56.105469 15.761719 86.59375 15.761719 32.472656 0 63.464844-6.332031 91.824219-17.808594-2.5-11.332031-12.652344-19.882812-24.710938-19.882812zm0 0" fill="#5294e5"/><path d="m226.03125 474.308594h-42.050781c-12.773438 0-23.410157 9.59375-25.074219 21.929687 15.457031 5.839844 31.660156 10.160157 48.421875 12.789063 1.929687-16.96875 9.292969-30.550782 18.703125-34.71875zm0 0" fill="#4374d3"/></svg>
\ No newline at end of file
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/Space/036-eclipse.svg b/src/backend/base/langflow/initial_setup/profile_pictures/Space/036-eclipse.svg
new file mode 100644
index 00000000000..b3a217c91e4
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/Space/036-eclipse.svg
@@ -0,0 +1 @@
+<svg height="511pt" viewBox="-10 0 511 511.99579" width="511pt" xmlns="http://www.w3.org/2000/svg"><path d="m245.496094 21.996094c-135.308594 0-245 109.6875-245 245 0 77.167968 35.6875 145.988281 91.445312 190.898437h307.113282c55.757812-44.910156 91.441406-113.730469 91.441406-190.898437 0-135.3125-109.6875-245-245-245zm0 0" fill="#162680"/><path d="m324.496094 45.644531c-25.203125-43.652343-81.023438-58.609375-124.679688-33.40625-43.652344 25.203125-58.609375 81.023438-33.40625 124.679688 25.207032 43.652343 81.027344 58.609375 124.679688 33.402343 43.652344-25.203124 58.609375-81.023437 33.40625-124.675781zm0 0" fill="#83d3fc"/><path d="m264.066406 1.933594c-21.191406-4.421875-44.019531-1.371094-64.242187 10.304687-43.652344 25.203125-58.609375 81.027344-33.40625 124.679688 7.640625 13.234375 18.101562 23.828125 30.179687 31.46875-8.664062-24.378907 1.613282-37.121094 12.632813-48.140625 7.136719-7.140625 5.335937-15.921875 3.113281-21.324219-2.46875-5.988281-3.484375-12.488281-2.875-18.933594 3.121094-33.152343 35.757812-17.171875 32.710938-35.355469-1.894532-11.304687.929687-16.429687 3.8125-18.753906 2.328124-1.878906 3.644531-4.769531 3.304687-7.742187-1.589844-13.886719 11.203125-15.910157 14.769531-16.203125zm0 0" fill="#5294e5"/><path d="m258.902344 133.375c-3.757813-.457031-7.351563-3.761719-8.652344-7.558594-1.738281-5.058594-.746094-10.585937-.359375-15.921875.382813-5.335937-.105469-11.296875-3.949219-15.019531-3.132812-3.03125-7.789062-3.851562-12.148437-3.910156-7.011719-.089844-14.035157 1.429687-20.382813 4.410156-3.132812 1.472656-6.175781 3.320312-9.820312 3.167969-1.308594-.050781-2.597656-.4375-3.648438-1.210938-3.40625-2.503906-2.527344-6.851562-2.289062-10.640625.210937-3.316406-.953125-7.519531-4.246094-7.984375-1.136719-.160156-2.269531.195313-3.402344.375-7.746094 1.230469-15.261718-7.722656-12.160156-15.152343.175781-.421876.304688-.867188.300781-1.320313-.03125-3.753906-3.992187-3.199219-6.800781-2.796875-3.703125.53125-7.472656-.453125-10.625-2.441406-10.019531 25.082031-8.855469 54.339844 5.695312 79.546875 16.078126 27.847656 44.613282 44.011719 74.503907 45.527343 2.136719-3.410156 3.609375-7.285156 4.414062-11.238281.292969-1.453125.507813-2.976562.097657-4.398437-.371094-1.296875-1.222657-2.394532-1.839844-3.59375-3.410156-6.59375 1.242187-15.21875 8.082031-18.097656 3.09375-1.300782 6.585937-1.765626 9.308594-3.722657.148437-.105469.292969-.222656.433593-.34375 2.929688-2.515625 1.320313-7.210937-2.511718-7.675781zm0 0" fill="#5294e5"/><path d="m196.597656 168.382812c-8.660156-24.375 1.613282-37.117187 12.632813-48.136718 7.140625-7.140625 5.335937-15.921875 3.113281-21.324219-.347656-.84375-.664062-1.699219-.953125-2.5625-2.453125 1.195313-4.941406 2.304687-7.800781 2.1875-1.304688-.054687-2.59375-.441406-3.648438-1.214844-3.402344-2.5-2.523437-6.851562-2.285156-10.636719.207031-3.320312-.957031-7.523437-4.25-7.984374-1.132812-.160157-2.269531.191406-3.398438.371093-7.746093 1.230469-15.265624-7.71875-12.164062-15.148437.175781-.421875.304688-.867188.300781-1.324219-.027343-3.753906-3.988281-3.199219-6.800781-2.796875-3.703125.53125-7.46875-.453125-10.625-2.4375-10.015625 25.078125-8.851562 54.339844 5.699219 79.542969 7.640625 13.234375 18.101562 23.828125 30.179687 31.464843zm0 0" fill="#4374d3"/><path d="m201.023438 11.566406c-1.226563 5.992188.492187 12.640625 4.859374 16.96875 1.253907 1.246094 2.761719 2.421875 3.195313 4.136719.34375 1.34375-.050781 2.746094-.351563 4.101563-.003906.019531-.007812.039062-.011718.054687-.621094 2.855469 3.09375 4.585937 4.90625 2.296875 3.671875-4.640625 4.175781-12.378906 8.847656-8.773438 7.484375 5.78125 12.476562-.285156 12.476562-.285156 2.257813-3.574218 6.855469-4.707031 10.996094-5.539062 4.292969-.863282 10.5-.609375 9.875 5-.101562.894531-.425781 1.730468-.914062 2.464844-1.34375 2.03125-1.140625 4.777343.546875 6.527343 1.382812 1.4375 3.78125 2.25 7.925781.75 6.800781-2.5 14.515625-2.417969 21.257812.230469.949219.371094 1.925782.832031 2.488282 1.679688.835937 1.25.511718 2.917968.03125 4.339843-3.121094 9.195313-11.675782 16.839844-11.0625 26.53125.394531 6.195313 4.609375 11.511719 9.355468 15.515625 4.328126 3.652344 9.25 6.59375 14.519532 8.671875 3.339844 1.320313 7.015625 2.429688 9.257812 5.238281 1.953125 2.445313 2.425782 5.722657 2.828125 8.828126.585938 4.523437 1.171875 9.046874 1.757813 13.570312.160156 1.222656.257812 2.632812-.605469 3.507812-.695313.703126-1.804687.828126-2.558594 1.46875-.988281.839844-1.097656 2.324219-.90625 3.605469.808594 5.363281 5.765625 9.367188 11.148438 10.257813 19.101562-28.058594 21.726562-65.703125 3.617187-97.066406-24.976562-43.257813-80.007812-58.332032-123.480468-34.082032zm0 0" fill="#a2ec00"/><path d="m201.023438 11.566406c-1.226563 5.992188.492187 12.640625 4.859374 16.96875 1.253907 1.246094 2.761719 2.421875 3.195313 4.136719.34375 1.34375-.050781 2.75-.351563 4.101563-.003906.019531-.007812.039062-.011718.054687-.621094 2.855469 3.09375 4.585937 4.90625 2.296875 3.671875-4.640625 4.175781-12.378906 8.847656-8.773438 7.484375 5.78125 12.476562-.285156 12.476562-.285156 2.257813-3.574218 6.855469-4.707031 10.996094-5.539062.515625-.105469 1.058594-.191406 1.617188-.253906 1.324218-1.742188 1.992187-3.914063 1.738281-6.132813-1.589844-13.875 11.175781-15.90625 14.761719-16.203125-20.773438-4.332031-43.117188-1.480469-63.035156 9.628906zm0 0" fill="#00c82f"/><path d="m252.488281 57.1875c-.820312-.191406-1.625-.425781-2.398437-.765625-2.242188-.976563-4.242188-3.277344-3.683594-5.660156.152344-.632813.46875-1.226563.546875-1.871094.121094-1.019531-.382813-2.023437-1.066406-2.789063-2.277344-2.554687-6.265625-2.835937-9.539063-1.847656-3.277344.988282-6.136718 2.996094-9.21875 4.484375-2.480468 1.195313-4.363281 1.128907-6.664062.40625-1.15625-.363281-2.421875-.207031-3.4375.457031-2.945313 2.21875-3.085938 6.550782-2.628906 10.210938.273437 2.183594.902343 4.679688 2.902343 5.59375.75.339844 1.605469.402344 2.351563.753906 1.503906.710938 2.253906 2.417969 3.5625 3.445313 2.546875 1.988281 6.308594.851562 9.019531-.902344 2.710937-1.757813 5.246094-4.125 8.449219-4.542969 2.730468-.359375 5.417968.785156 7.914062 1.949219.230469.105469.464844.214844.695313.320313 2.5625 1.183593 5.589843-.066407 6.601562-2.703126 1.058594-2.761718-.53125-5.855468-3.40625-6.539062zm0 0" fill="#a2ec00"/><path d="m242.179688 44.632812c-.039063-.226562-.070313-.449218-.105469-.671874-1.851563-.414063-3.898438-.257813-5.726563.292968-3.277344.988282-6.136718 2.996094-9.21875 4.480469-2.480468 1.195313-4.363281 1.132813-6.664062.410156-1.15625-.363281-2.421875-.207031-3.4375.457031-2.945313 2.21875-3.085938 6.550782-2.628906 10.210938.171874 1.367188.484374 2.863281 1.183593 4.011719 10.21875-11.414063 28.9375-5.222657 26.597657-19.191407zm0 0" fill="#00c82f"/><path d="m173.5625 42.292969c3.386719-.789063 5.6875-.1875 8.324219 1.335937 1.324219.773438 2.921875.929688 4.359375.390625 4.242187-1.921875 5.613281-7.21875 6.0625-11.855469.269531-2.761718.1875-6.015624-2.027344-7.691406-.828125-.632812-1.867188-.945312-2.6875-1.585937-.457031-.351563-.820312-.785157-1.136719-1.261719-7.671875 6.484375-14.0625 14.070312-19.085937 22.382812 2.0625-.578124 4.109375-1.234374 6.191406-1.714843zm0 0" fill="#4374d3"/><path d="m324.503906 45.648438c-3.574218-6.191407-7.765625-11.800782-12.445312-16.800782-3.675782 7.953125-10.445313 14.980469-9.894532 23.640625.394532 6.199219 4.609376 11.511719 9.355469 15.515625 4.328125 3.652344 9.25 6.59375 14.515625 8.671875 3.339844 1.320313 7.019532 2.429688 9.257813 5.238281.460937.574219.832031 1.195313 1.148437 1.847657-1.070312-13.03125-4.964844-26.039063-11.9375-38.113281zm0 0" fill="#d7f9b7"/><path d="m181.527344 387.527344 1.300781-2.410156c4.714844-8.753907 15.828125-11.726563 24.28125-6.492188l2.320313 1.433594c6.96875 4.3125 16.011718 3.132812 21.636718-2.828125l1.898438-2.015625c6.8125-7.21875 18.296875-7.21875 25.109375 0l1.898437 2.015625c5.625 5.960937 14.667969 7.140625 21.636719 2.828125l2.320313-1.4375c8.453124-5.230469 19.570312-2.257813 24.285156 6.492187l1.296875 2.414063c.46875.871094 1.007812 1.683594 1.601562 2.445312l-49.730469-210.941406c-18.035156 0-13.773437 0-31.726562 0l-49.730469 210.941406c.59375-.757812 1.132813-1.570312 1.601563-2.445312zm0 0" fill="#f9ecc6"/><path d="m249.519531 179.03125c-5.703125 0-7.613281 0-19.863281 0l-49.730469 210.941406c.59375-.757812 1.132813-1.574218 1.601563-2.445312l1.300781-2.410156c4.714844-8.753907 15.828125-11.726563 24.28125-6.492188l2.320313 1.433594c6.234374 3.859375 14.121093 3.308594 19.746093-1.117188zm0 0" fill="#fadda0"/><path d="m291.1875 170.4375c.375-.214844.734375-.453125 1.105469-.675781-9.648438-10.550781-26.984375-17.589844-46.773438-17.589844-19.796875 0-37.140625 7.042969-46.789062 17.605469 27.492187 16.363281 62.78125 17.796875 92.457031.660156zm0 0" fill="#4374d3"/><path d="m245.492188 166.917969c-.375-1.296875-1.222657-2.394531-1.84375-3.59375-1.824219-3.527344-1.328126-7.628907.558593-11.128907-19.253906.304688-36.054687 7.261719-45.484375 17.59375 12.835938 7.640626 27.375 12.027344 42.253906 12.78125 2.136719-3.414062 3.613282-7.292968 4.414063-11.246093.296875-1.453125.507813-2.980469.101563-4.40625zm0 0" fill="#3957c9"/><path d="m206.398438 280.261719c-.355469 6.277343.796874 12.730469 3.65625 18.824219 9.191406 19.582031 32.519531 28.007812 52.101562 18.816406 14.894531-6.992188 23.324219-22.164063 22.464844-37.640625zm0 0" fill="#fbb362"/><path d="m210.054688 299.085938c2.34375 4.992187 5.605468 9.253906 9.488281 12.6875l23.441406-18.398438c-2.714844-4.574219-4.558594-8.964844-5.746094-13.113281h-30.839843c-.355469 6.277343.796874 12.730469 3.65625 18.824219zm0 0" fill="#fc9949"/><path d="m280.972656 265.800781c-9.191406-19.582031-32.519531-28.007812-52.101562-18.816406-14.195313 6.664063-22.519532 20.753906-22.53125 35.460937h78.34375c.003906-5.585937-1.183594-11.253906-3.710938-16.644531zm0 0" fill="#4374d3"/><path d="m244.960938 296.492188c-4.574219-9.75-16.183594-13.941407-25.933594-9.367188-4.589844 2.15625-7.945313 5.875-9.734375 10.226562.242187.582032.492187 1.160157.761719 1.734376 5.546874 11.816406 16.238281 19.558593 28.148437 21.832031 7.839844-5.277344 10.898437-15.605469 6.757813-24.425781zm0 0" fill="#fd7e31"/><path d="m259.316406 298.738281c-5.984375-1.316406-5.730468-9.453125 0-10.710937 3.398438-.695313 6.519532 1.945312 6.519532 5.347656 0 3.429688-3.074219 6.003906-6.519532 5.363281zm0 0" fill="#fadda0"/><path d="m259.09375 277.632812c-5.949219 0-10.917969-4.828124-10.917969-10.917968 0-6.808594 6.257813-12.074219 13.046875-10.699219 4.074219.765625 7.644532 4.019531 8.570313 8.570313 1.351562 6.640624-3.753907 13.046874-10.699219 13.046874zm0 0" fill="#5294e5"/><path d="m90.722656 456.894531c42.199219 34.4375 96.082032 55.101563 154.796875 55.101563 58.714844 0 112.597657-20.664063 154.796875-55.101563-4.964844-3.203125-8.085937-8.835937-7.902344-15.015625l.078126-2.75c.292968-9.925781-7.832032-18.050781-17.757813-17.757812l-2.75.078125c-8.195313.242187-15.429687-5.316407-17.308594-13.296875l-.628906-2.664063c-2.277344-9.671875-12.230469-15.429687-21.75-12.582031l-2.636719.789062c-7.847656 2.347657-16.261718-1.140624-20.148437-8.351562l-1.296875-2.410156c-4.714844-8.753906-15.832032-11.726563-24.285156-6.492188l-2.320313 1.433594c-6.96875 4.316406-16.011719 3.132812-21.636719-2.828125l-1.898437-2.011719c-6.8125-7.21875-18.296875-7.21875-25.109375 0l-1.898438 2.011719c-5.625 5.960937-14.667968 7.144531-21.636718 2.828125l-2.320313-1.433594c-8.453125-5.234375-19.570313-2.261718-24.28125 6.492188l-1.300781 2.414062c-3.882813 7.210938-12.300782 10.695313-20.144532 8.351563l-2.640624-.789063c-9.519532-2.851562-19.472657 2.90625-21.75 12.578125l-.625 2.664063c-1.882813 7.980468-9.113282 13.535156-17.308594 13.296875l-2.75-.082031c-9.925782-.289063-18.050782 7.835937-17.761719 17.761718l.082031 2.75c.179688 6.179688-2.9375 11.8125-7.90625 15.015625zm0 0" fill="#fadda0"/><path d="m209.09375 456.453125c-22.003906-22.003906-6.25-45.972656-6.25-45.972656-15.96875-15.96875-.304688-35.5625-.011719-35.921875-7.609375-2.214844-16.054687 1.039062-20.003906 8.375l-1.300781 2.414062c-3.882813 7.210938-12.300782 10.695313-20.144532 8.351563l-2.640624-.789063c-9.519532-2.851562-19.472657 2.90625-21.75 12.578125l-.625 2.664063c-1.882813 7.980468-9.113282 13.539062-17.308594 13.296875l-2.75-.082031c-9.925782-.289063-18.050782 7.835937-17.761719 17.761718l.082031 2.75c.179688 6.179688-2.9375 11.8125-7.90625 15.015625 30.007813 24.488281 65.925782 42 105.285156 50.082031-.515624-20.597656 28.386719-35.222656 13.085938-50.523437zm0 0" fill="#eec707"/><path d="m245.519531 511.996094c48.933594 0 94.507813-14.351563 132.761719-39.066406-29.675781-41.230469-78.078125-68.082032-132.761719-68.082032-54.679687 0-103.082031 26.851563-132.761719 68.082032 38.253907 24.714843 83.832032 39.066406 132.761719 39.066406zm0 0" fill="#fbb362"/><path d="m196.007812 506.984375c-.523437-20.605469 28.390626-35.226563 13.085938-50.53125-21.84375-21.84375-6.488281-45.605469-6.261719-45.957031-36.769531 9.921875-68.414062 32.339844-90.074219 62.433594 24.992188 16.148437 53.113282 27.867187 83.25 34.054687zm0 0" fill="#fc9949"/><path d="m270.285156 406.710938c-6.261718 8.316406-6.136718 19.777343.40625 27.953124.050782.058594.097656.117188.148438.179688 10.417968 13.121094 26.257812 20.769531 43.015625 20.769531h50.082031c-24.398438-25.621093-57.03125-43.335937-93.652344-48.902343zm0 0" fill="#fc9949"/><path d="m245.519531 511.996094c14.644531 0 28.988281-1.289063 42.925781-3.753906-5.871093-4.621094-11.246093-9.941407-15.988281-15.910157-18.417969-23.195312-46.421875-36.71875-76.042969-36.71875h-69.3125c-5.167968 5.429688-9.953124 11.222657-14.339843 17.320313 38.253906 24.710937 83.828125 39.0625 132.757812 39.0625zm0 0" fill="#fd7e31"/><path d="m127.101562 455.613281c-5.167968 5.429688-9.953124 11.222657-14.339843 17.320313 24.992187 16.144531 53.109375 27.863281 83.246093 34.050781-.523437-20.601563 28.386719-35.226563 13.085938-50.53125-4.175781-.546875-8.410156-.839844-12.679688-.839844zm0 0" fill="#fc5d1f"/><path d="m272.457031 473.796875c-13.460937-7.667969-32.042969-12.996094-52.632812-15.308594 20.589843 5.113281 39.171875 16.890625 52.632812 33.84375 4.742188 5.96875 10.117188 11.289063 15.988281 15.910157 20.25-3.578126 39.644532-9.640626 57.851563-17.867188-28.800781-.296875-55.875-6.347656-73.839844-16.578125zm0 0" fill="#face7a"/><path d="m242.910156 243.363281c-4.734375.3125-9.488281 1.484375-14.039062 3.621094-14.195313 6.664063-22.519532 20.753906-22.53125 35.460937h31.582031c-7.417969-22.042968 3.996094-37.777343 4.988281-39.082031zm0 0" fill="#3957c9"/></svg>
\ No newline at end of file
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/Space/037-meteor.svg b/src/backend/base/langflow/initial_setup/profile_pictures/Space/037-meteor.svg
new file mode 100644
index 00000000000..57bb8616944
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/Space/037-meteor.svg
@@ -0,0 +1 @@
+<svg height="512pt" viewBox="-11 0 512 512.00075" width="512pt" xmlns="http://www.w3.org/2000/svg"><path d="m487.109375 207.28125c-4.757813-30.792969-15.257813-59.6875-30.359375-85.566406l-39.792969-51.210938c-25.425781-25.058594-56.300781-44.59375-90.6875-56.683594l-55.652343-12.492187c-8.421876-.875-16.964844-1.328125-25.617188-1.328125-135.308594 0-245 109.691406-245 245 0 135.3125 109.691406 245.003906 245 245.003906s245-109.695312 245-245.003906c0-6.21875-.234375-12.382812-.691406-18.488281zm0 0" fill="#162680"/><g fill="#c78fe8"><path d="m46.707031 190.5625c-1.839843 0-3.675781-.699219-5.078125-2.101562-2.804687-2.804688-2.804687-7.351563 0-10.15625l70.308594-70.308594c2.804688-2.804688 7.351562-2.804688 10.15625 0 2.804688 2.804687 2.804688 7.347656 0 10.152344l-70.308594 70.3125c-1.402344 1.398437-3.242187 2.101562-5.078125 2.101562zm0 0"/><path d="m131.503906 98.148438c-2.804687-2.804688-2.804687-7.351563 0-10.15625l25.367188-25.363282c2.804687-2.804687 7.351562-2.804687 10.152344 0 2.804687 2.804688 2.804687 7.347656 0 10.152344l-25.367188 25.367188c-2.804688 2.804687-7.351562 2.804687-10.152344 0zm0 0"/><path d="m81.925781 166.488281c1.066407.050781 2.851563.144531 5.386719.488281 11.214844.546876 39.375-.253906 58.609375-19.488281l143.464844-143.464843c-6.179688-1.132813-12.4375-2.035157-18.769531-2.695313l-133.675782 133.675781c-15.996094 15.996094-36.242187 26.949219-58.144531 31.410156.835937-.003906 1.675781.007813 2.515625.039063.175781.011719.378906.023437.613281.035156zm0 0"/><path d="m309.917969 8.710938-151.386719 151.386718c-19.234375 19.230469-20.035156 47.394532-19.484375 58.65625.433594 3.171875.617187 6.339844.5625 9.472656 4.457031-22.273437 15.164063-42.910156 31.40625-59.148437l155.253906-155.257813c-5.367187-1.886718-10.820312-3.59375-16.351562-5.109374zm0 0"/></g><path d="m174.179688 53.265625c-2.804688-2.804687-2.804688-7.351563 0-10.152344l1.144531-1.144531c2.804687-2.800781 7.351562-2.804688 10.152343.003906 2.804688 2.804688 2.804688 7.347656 0 10.152344l-1.144531 1.144531c-2.804687 2.800781-7.351562 2.804688-10.152343-.003906zm0 0" fill="#dcb1f3"/><path d="m310.496094 8.867188c-7.117188-1.96875-14.363282-3.636719-21.726563-4.964844l-143.214843 143.21875c-18.894532 18.894531-46.25 19.917968-58.21875 19.335937-3.039063-.417969-5-.460937-5.988282-.523437-16.425781-.628906-33.054687 5.320312-45.59375 17.859375-23.878906 23.878906-23.878906 62.59375 0 86.472656s62.59375 23.878906 86.472656 0c14.066407-14.066406 19.84375-33.285156 17.335938-51.582031-.585938-11.972656.441406-39.324219 19.335938-58.21875zm0 0" fill="#b26cde"/><path d="m111.914062 249.203125-40.917968-61.21875c-17.128906-4.878906-10.085938-19.003906-9.871094-19.425781-9.285156 2.828125-18.03125 7.890625-25.371094 15.234375-23.878906 23.878906-23.878906 62.59375 0 86.472656s62.59375 23.878906 86.472656 0c2.101563-2.101563 3.996094-4.332031 5.730469-6.644531-18.855469 1.78125-16.042969-14.417969-16.042969-14.417969zm0 0" fill="#9d4ad3"/><path d="m81.683594 364.171875c-1.835938 0-3.675782-.703125-5.078125-2.105469-2.800781-2.804687-2.800781-7.347656 0-10.15625l186.746093-186.742187c2.804688-2.800781 7.347657-2.800781 10.152344 0 2.804688 2.804687 2.804688 7.351562 0 10.15625l-186.742187 186.742187c-1.402344 1.402344-3.242188 2.105469-5.078125 2.105469zm0 0" fill="#f948b4"/><path d="m191.929688 254.925781c-2.140626 0-4.28125-.816406-5.914063-2.449219-2.097656-2.097656-2.839844-5.035156-2.242187-7.734374l-107.167969 107.167968c-2.800781 2.808594-2.800781 7.351563 0 10.15625 1.402343 1.402344 3.242187 2.105469 5.078125 2.105469 1.839844 0 3.675781-.703125 5.078125-2.105469l107.464843-107.464844c-.75.214844-1.523437.324219-2.296874.324219zm0 0" fill="#f6159c"/><path d="m445.546875 104.253906-236.707031 236.707032c-25.683594 25.683593-26.757813 63.292968-26.019532 78.328124.582032 4.238282.824219 8.464844.753907 12.652344 5.953125-29.742187 20.25-57.300781 41.9375-78.988281l231.238281-231.238281c-3.492188-5.988282-7.230469-11.8125-11.203125-17.460938zm0 0" fill="#fc7acd"/><path d="m106.539062 349.492188c1.421876.074218 3.808594.195312 7.191407.65625 14.980469.730468 52.589843-.339844 78.273437-26.027344l238.804688-238.804688c-4.414063-5.128906-9.035156-10.066406-13.851563-14.8125l-236.949219 236.945313c-21.359374 21.359375-48.394531 35.988281-77.644531 41.949219 1.117188-.003907 2.238281.007812 3.359375.050781.234375.015625.503906.027343.816406.042969zm0 0" fill="#fc7acd"/><path d="m445.953125 104.835938c-4.859375-6.953126-10.058594-13.652344-15.597656-20.050782l-238.84375 238.84375c-25.234375 25.234375-61.761719 26.605469-77.746094 25.824219-4.058594-.558594-6.675781-.617187-8-.699219-21.933594-.84375-44.140625 7.105469-60.886719 23.851563-31.886718 31.886719-31.886718 83.589843 0 115.480469 31.890625 31.886718 83.589844 31.886718 115.480469 0 18.785156-18.789063 26.5-44.453126 23.152344-68.890626-.78125-15.984374.589843-52.511718 25.820312-77.742187zm0 0" fill="#f948b4"/><path d="m146.585938 460.53125-54.640626-81.753906c-20.855468-5.660156-17.265624-21.261719-15.78125-25.679688-11.429687 3.90625-22.167968 10.390625-31.285156 19.507813-31.886718 31.886719-31.886718 83.589843 0 115.480469 31.890625 31.886718 83.59375 31.886718 115.480469 0 3.1875-3.1875 6.042969-6.574219 8.59375-10.113282-23.785156 2.152344-22.367187-17.441406-22.367187-17.441406zm0 0" fill="#f6159c"/><path d="m489.308594 226.511719c-.484375-6.484375-1.21875-12.898438-2.199219-19.230469l-81.285156 81.289062c-15.171875 15.167969-37.132813 15.992188-46.742188 15.523438-2.441406-.332031-4.015625-.371094-4.8125-.417969-13.183593-.507812-26.539062 4.269531-36.605469 14.339844-19.171874 19.171875-19.171874 50.253906 0 69.425781 19.171876 19.171875 50.257813 19.171875 69.429688 0 11.292969-11.292968 15.933594-26.722656 13.917969-41.414062-.46875-9.613282.355469-31.574219 15.527343-46.742188zm0 0" fill="#face7a"/><path d="m391.347656 382.574219c-14.804687-.003907-12.535156-12.042969-12.535156-12.042969l-32.851562-49.152344c-10.359376-7.058594-3.300782-16.476562-3.042969-16.8125-9.253907 1.808594-18.085938 6.28125-25.253907 13.445313-19.171874 19.171875-19.171874 50.257812 0 69.429687 19.171876 19.171875 50.257813 19.171875 69.429688 0 1.546875-1.546875 2.957031-3.175781 4.253906-4.867187zm0 0" fill="#fbb362"/><path d="m330.667969 112.542969c-1.835938 0-3.675781-.699219-5.078125-2.101563-2.804688-2.804687-2.800782-7.351562.003906-10.15625l1.140625-1.140625c2.804687-2.804687 7.351563-2.804687 10.15625 0 2.804687 2.804688 2.800781 7.351563-.003906 10.15625l-1.140625 1.140625c-1.402344 1.402344-3.242188 2.101563-5.078125 2.101563zm0 0" fill="#f9ecc6"/><path d="m287.992188 157.425781c-1.839844 0-3.675782-.703125-5.078126-2.101562-2.804687-2.804688-2.804687-7.351563 0-10.15625l25.367188-25.367188c2.804688-2.804687 7.351562-2.804687 10.152344 0 2.804687 2.804688 2.804687 7.347657 0 10.152344l-25.367188 25.371094c-1.402344 1.398437-3.238281 2.101562-5.074218 2.101562zm0 0" fill="#fbb362"/><path d="m107.238281 198.738281c-15.492187-15.488281-40.605469-15.488281-56.097656 0-15.488281 15.492188-15.488281 40.605469 0 56.097657 15.492187 15.488281 40.605469 15.488281 56.097656 0 15.488281-15.492188 15.488281-40.605469 0-56.097657zm0 0" fill="#9d4ad3"/><path d="m75.667969 238.445312c-13.730469-13.726562-15.28125-35.011718-4.671875-50.460937-7.277344 1.53125-14.203125 5.109375-19.851563 10.753906-15.492187 15.492188-15.492187 40.609375 0 56.097657 15.488281 15.492187 40.605469 15.492187 56.097657 0 1.757812-1.761719 3.308593-3.652344 4.671874-5.632813-12.675781 2.664063-26.40625-.914063-36.246093-10.757813zm0 0" fill="#8634c6"/><path d="m140.34375 393.140625c-20.6875-20.6875-54.226562-20.6875-74.914062 0-20.683594 20.683594-20.683594 54.222656 0 74.910156 20.6875 20.6875 54.226562 20.6875 74.914062 0 20.683594-20.6875 20.683594-54.226562 0-74.910156zm0 0" fill="#f6159c"/><path d="m98.183594 446.164062c-18.335938-18.332031-20.40625-46.757812-6.242188-67.386718-9.710937 2.042968-18.964844 6.820312-26.507812 14.363281-20.6875 20.6875-20.6875 54.226563 0 74.914063 20.6875 20.683593 54.226562 20.683593 74.914062 0 2.351563-2.355469 4.421875-4.878907 6.238282-7.523438-16.929688 3.558594-35.257813-1.21875-48.402344-14.367188zm0 0" fill="#c6237c"/><path d="m375.054688 330.015625c-12.433594-12.4375-32.601563-12.4375-45.039063 0s-12.4375 32.601563 0 45.039063 32.605469 12.4375 45.039063 0c12.4375-12.4375 12.4375-32.601563 0-45.039063zm0 0" fill="#fbb362"/><path d="m349.710938 361.894531c-11.023438-11.023437-12.265626-28.113281-3.75-40.515625-5.839844 1.226563-11.402344 4.101563-15.9375 8.636719-12.4375 12.4375-12.4375 32.601563 0 45.039063s32.601562 12.4375 45.039062 0c1.414062-1.414063 2.65625-2.933594 3.75-4.523438-10.175781 2.140625-21.199219-.734375-29.101562-8.636719zm0 0" fill="#fd7e31"/></svg>
\ No newline at end of file
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/Space/038-eclipse.svg b/src/backend/base/langflow/initial_setup/profile_pictures/Space/038-eclipse.svg
new file mode 100644
index 00000000000..400ecd77614
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/Space/038-eclipse.svg
@@ -0,0 +1 @@
+<svg height="511pt" viewBox="-10 0 511 511.99827" width="511pt" xmlns="http://www.w3.org/2000/svg"><path d="m245.5 21.996094c-135.3125 0-245 109.691406-245 245.003906 0 75.714844 34.351562 143.398438 88.3125 188.339844l312.96875.34375c54.195312-44.941406 88.71875-112.78125 88.71875-188.683594 0-135.3125-109.691406-245.003906-245-245.003906zm0 0" fill="#eec707"/><path d="m283.125 39.175781h-.042969c-.570312 13.554688-8.46875 26.339844-21.601562 32.503907-18.804688 8.828124-41.207031.734374-50.035157-18.070313-2.195312-4.675781-3.339843-9.574219-3.539062-14.433594h-.539062l-119.738282 415.164063c1.453125 1.222656 2.914063 2.425781 4.394532 3.617187 5.167968-3.558593 8.414062-9.578125 8.222656-16.125l-.082032-2.75c-.125-4.347656 1.496094-8.433593 4.570313-11.503906 3.074219-3.074219 7.144531-4.710937 11.507813-4.570313l2.75.078126c8.9375.234374 16.902343-5.859376 18.949218-14.558594l.625-2.660156c1-4.234376 3.621094-7.765626 7.386719-9.945313s8.136719-2.691406 12.304687-1.445313l2.636719.789063c8.550781 2.558594 17.824219-1.285156 22.054688-9.144531l1.300781-2.410156c2.066406-3.832032 5.515625-6.5625 9.722656-7.6875 4.203125-1.121094 8.558594-.480469 12.257813 1.808593l2.320312 1.4375c7.59375 4.703125 17.558594 3.398438 23.691407-3.097656l1.898437-2.011719c2.980469-3.160156 7.015625-4.902344 11.363281-4.902344 4.34375 0 8.378906 1.742188 11.359375 4.902344l1.898438 2.011719c6.132812 6.496094 16.097656 7.796875 23.695312 3.097656l2.316407-1.4375c3.703124-2.289062 8.054687-2.929687 12.257812-1.808593 4.207031 1.125 7.65625 3.855468 9.722656 7.6875l1.300782 2.410156c4.230468 7.859375 13.507812 11.703125 22.054687 9.148437l2.640625-.789062c4.164062-1.25 8.535156-.734375 12.300781 1.441406 3.765625 2.179687 6.386719 5.710937 7.386719 9.945313l.625 2.660156c2.050781 8.699218 10.050781 14.804687 18.949219 14.558594l2.75-.078126c4.335937-.125 8.433593 1.496094 11.507812 4.570313s4.695313 7.160156 4.570313 11.503906l-.082032 2.75c-.191406 6.546875 3.050782 12.566407 8.222657 16.125 1.339843-1.078125 2.667969-2.167969 3.984375-3.273437zm0 0" fill="#f9ecc6"/><path d="m202.605469 376.203125 39.257812-301.136719c-12.769531-1.25-24.570312-9-30.417969-21.457031-2.195312-4.675781-3.339843-9.574219-3.539062-14.429687h-.539062l-119.738282 415.160156c1.453125 1.222656 2.914063 2.425781 4.394532 3.617187 5.167968-3.558593 8.414062-9.578125 8.222656-16.125l-.082032-2.75c-.125-4.34375 1.496094-8.429687 4.570313-11.503906s7.144531-4.710937 11.507813-4.570313l2.75.082032c8.9375.230468 16.902343-5.863282 18.949218-14.5625l.625-2.660156c1-4.234376 3.621094-7.765626 7.386719-9.945313 3.765625-2.175781 8.136719-2.691406 12.304687-1.441406l2.636719.789062c8.546875 2.558594 17.824219-1.289062 22.054688-9.144531l1.300781-2.414062c2.066406-3.832032 5.515625-6.558594 9.722656-7.683594 2.894532-.773438 5.859375-.691406 8.632813.175781zm0 0" fill="#fadda0"/><path d="m90.703125 456.894531c42.195313 34.441407 96.082031 55.105469 154.796875 55.105469s112.597656-20.664062 154.796875-55.105469c-4.96875-3.203125-8.085937-8.832031-7.90625-15.011719l.082031-2.75c.289063-9.925781-7.832031-18.050781-17.761718-17.761718l-2.75.082031c-8.195313.238281-15.429688-5.320313-17.308594-13.300781l-.625-2.660156c-2.277344-9.675782-12.230469-15.433594-21.75-12.582032l-2.636719.789063c-7.847656 2.347656-16.265625-1.140625-20.148437-8.351563l-1.300782-2.414062c-4.714844-8.753906-15.828125-11.722656-24.28125-6.492188l-2.320312 1.4375c-6.96875 4.3125-16.011719 3.128906-21.640625-2.832031l-1.898438-2.011719c-6.8125-7.21875-18.292969-7.21875-25.105469 0l-1.898437 2.011719c-5.625 5.960937-14.667969 7.144531-21.640625 2.832031l-2.316406-1.4375c-8.453125-5.230468-19.570313-2.261718-24.285156 6.492188l-1.296876 2.414062c-3.886718 7.210938-12.300781 10.699219-20.148437 8.351563l-2.636719-.789063c-9.519531-2.847656-19.472656 2.90625-21.75 12.582032l-.628906 2.660156c-1.878906 7.980468-9.113281 13.539062-17.304688 13.300781l-2.75-.082031c-9.929687-.292969-18.054687 7.832031-17.761718 17.757812l.078125 2.75c.183593 6.183594-2.9375 11.8125-7.902344 15.015625zm0 0" fill="#fadda0"/><path d="m209.074219 456.457031c-22.007813-22.007812-6.25-45.976562-6.25-45.976562-15.96875-15.96875-.304688-35.558594-.015625-35.921875-7.605469-2.210938-16.050782 1.039062-20.003906 8.375l-1.296876 2.414062c-3.886718 7.210938-12.300781 10.699219-20.148437 8.351563l-2.636719-.789063c-9.519531-2.847656-19.472656 2.910156-21.75 12.582032l-.628906 2.660156c-1.878906 7.980468-9.113281 13.539062-17.304688 13.300781l-2.75-.082031c-9.929687-.289063-18.054687 7.835937-17.761718 17.761718l.078125 2.75c.183593 6.179688-2.9375 11.808594-7.902344 15.011719 30.003906 24.488281 65.921875 42.003907 105.28125 50.085938-.515625-20.601563 28.390625-35.222657 13.089844-50.523438zm0 0" fill="#eec707"/><path d="m245.5 512c48.929688 0 94.507812-14.355469 132.761719-39.066406-29.679688-41.230469-78.082031-68.082032-132.761719-68.082032-54.683594 0-103.085938 26.851563-132.765625 68.082032 38.257813 24.710937 83.832031 39.066406 132.765625 39.066406zm0 0" fill="#fbb362"/><path d="m195.984375 506.988281c-.519531-20.605469 28.390625-35.230469 13.089844-50.53125-21.84375-21.84375-6.488281-45.609375-6.261719-45.957031-36.769531 9.921875-68.414062 32.339844-90.074219 62.433594 24.992188 16.144531 53.109375 27.867187 83.246094 34.054687zm0 0" fill="#fc9949"/><path d="m270.261719 406.714844c-6.261719 8.316406-6.136719 19.777344.410156 27.949218.046875.0625.09375.121094.144531.183594 10.421875 13.121094 26.261719 20.769532 43.019532 20.769532h50.082031c-24.402344-25.625-57.03125-43.339844-93.65625-48.902344zm0 0" fill="#fc9949"/><path d="m245.5 512c14.644531 0 28.988281-1.292969 42.925781-3.753906-5.871093-4.621094-11.25-9.945313-15.988281-15.910156-18.421875-23.199219-46.421875-36.71875-76.042969-36.71875h-69.3125c-5.167969 5.429687-9.953125 11.222656-14.339843 17.320312 38.253906 24.710938 83.828124 39.0625 132.757812 39.0625zm0 0" fill="#fd7e31"/><path d="m127.082031 455.617188c-5.167969 5.429687-9.953125 11.222656-14.339843 17.320312 24.992187 16.144531 53.109374 27.863281 83.242187 34.050781-.519531-20.605469 28.390625-35.230469 13.089844-50.53125-4.179688-.550781-8.410157-.839843-12.679688-.839843zm0 0" fill="#fc5d1f"/><path d="m272.4375 473.796875c-13.460938-7.667969-32.042969-12.992187-52.632812-15.308594 20.585937 5.117188 39.171874 16.894531 52.632812 33.847657 4.738281 5.964843 10.117188 11.289062 15.988281 15.910156 20.25-3.578125 39.644531-9.640625 57.851563-17.867188-28.800782-.296875-55.878906-6.351562-73.839844-16.582031zm0 0" fill="#face7a"/><path d="m154.175781 229.1875c-.203125 15.875 3.710938 32.007812 12.226563 46.757812 25.222656 43.683594 81.078125 58.648438 124.761718 33.429688 29.613282-17.097656 46.007813-48.273438 45.652344-80.1875zm0 0" fill="#83d3fc"/><path d="m205.292969 150.089844c8-4.617188 16.40625-7.875 24.960937-9.867188-10 1.691406-19.878906 5.074219-29.222656 10.289063-.164062.796875-.269531 1.609375-.328125 2.421875 1.492187-.984375 3.019531-1.9375 4.589844-2.84375zm0 0" fill="#a2ec00"/><path d="m288.902344 229.1875c3.449218 2.453125 7.195312 4.492188 11.136718 6.046875 3.34375 1.320313 7.023438 2.433594 9.261719 5.242187 1.957031 2.449219 2.429688 5.726563 2.832031 8.832032.585938 4.527344 1.175782 9.054687 1.761719 13.582031.160157 1.222656.257813 2.632813-.605469 3.511719-.695312.703125-1.804687.828125-2.558593 1.46875-.988281.839844-1.101563 2.324218-.910157 3.605468.8125 5.367188 5.769532 9.375 11.15625 10.265626 10.542969-15.488282 16.058594-33.894532 15.851563-52.558594h-47.925781zm0 0" fill="#a2ec00"/><path d="m250.292969 264.835938c-1.738281-5.066407-.746094-10.59375-.363281-15.933594.386718-5.339844-.101563-11.304688-3.949219-15.027344-3.132813-3.035156-7.792969-3.855469-12.152344-3.910156-7.015625-.09375-14.050781 1.425781-20.398437 4.410156-2.386719 1.121094-4.71875 2.460938-7.300782 2.96875-2.585937.507812-5.570312.007812-7.253906-2.019531-1.394531-1.683594-1.566406-3.886719-1.464844-6.136719h-43.230468c0-.585938.015624-1.171875.027343-1.757812-.527343 16.441406 3.367188 33.222656 12.195313 48.515624 16.089844 27.863282 44.644531 44.039063 74.550781 45.558594 2.140625-3.414062 3.613281-7.292968 4.417969-11.246094.296875-1.453124.507812-2.976562.097656-4.402343-.371094-1.300781-1.222656-2.394531-1.84375-3.59375-3.410156-6.601563 1.242188-15.230469 8.089844-18.113281 3.09375-1.300782 6.589844-1.761719 9.3125-3.722657 2.726562-1.960937 4.164062-6.375 1.660156-8.609375-4.847656 2.273438-10.660156-1.914062-12.394531-6.980468zm0 0" fill="#5294e5"/><path d="m280.972656 22.527344c-9.191406-19.582032-32.519531-28.007813-52.105468-18.816406-19.582032 9.191406-28.007813 32.519531-18.816407 52.105468 9.191407 19.582032 32.519531 28.007813 52.105469 18.816406 19.582031-9.191406 28.007812-32.519531 18.816406-52.105468zm0 0" fill="#4374d3"/><path d="m324.59375 184.613281c-25.21875-43.683593-81.078125-58.652343-124.761719-33.429687-29.273437 16.898437-45.625 47.5625-45.652343 79.09375h182.640624c.015626-15.523438-3.90625-31.253906-12.226562-45.664063zm0 0" fill="#4374d3"/><path d="m220.488281 188.113281c-2.085937-6.808593-.046875-11.335937 2.089844-13.972656 1.867187-2.304687 2.589844-5.324219 2.085937-8.246094-2.992187-17.414062 5.390626-24.386719 7.882813-26.046875-11.207031 1.605469-22.308594 5.324219-32.714844 11.335938-29.273437 16.898437-45.625 47.5625-45.652343 79.09375h42.769531c.601562-1.375 1.160156-2.773438 1.6875-4.183594 6.3125-16.933594 25.238281-26.914062 21.851562-37.980469zm0 0" fill="#3957c9"/><path d="m252.53125 196.164062c-.820312-.195312-1.628906-.429687-2.398438-.769531-2.246093-.976562-4.246093-3.28125-3.6875-5.664062.148438-.636719.46875-1.226563.546876-1.871094.121093-1.019531-.386719-2.023437-1.066407-2.792969-2.28125-2.554687-6.269531-2.835937-9.546875-1.847656-3.28125.988281-6.140625 3-9.226562 4.484375-2.480469 1.195313-4.363282 1.132813-6.664063.410156-1.160156-.367187-2.421875-.210937-3.441406.453125-2.945313 2.226563-3.085937 6.558594-2.628906 10.222656.269531 2.183594.898437 4.683594 2.902343 5.59375.75.34375 1.605469.40625 2.351563.757813 1.507813.710937 2.257813 2.417969 3.566406 3.445313 2.550781 1.988281 6.316407.851562 9.027344-.902344 2.710937-1.757813 5.25-4.125 8.453125-4.546875 2.734375-.359375 5.421875.785156 7.921875 1.949219.226563.109374.460937.214843.691406.324218 2.566407 1.183594 5.59375-.066406 6.605469-2.703125 1.0625-2.765625-.53125-5.863281-3.40625-6.542969zm0 0" fill="#5294e5"/><path d="m173.554688 181.253906c3.390624-.785156 5.691406-.1875 8.328124 1.339844 1.328126.769531 2.925782.925781 4.363282.390625 4.246094-1.925781 5.617187-7.222656 6.066406-11.863281.269531-2.765625.1875-6.019532-2.027344-7.699219-.832031-.628906-1.867187-.945313-2.691406-1.585937-.457031-.355469-.820312-.785157-1.136719-1.261719-7.675781 6.488281-14.074219 14.078125-19.097656 22.398437 2.0625-.578125 4.113281-1.234375 6.195313-1.71875zm0 0" fill="#2d4fba"/><path d="m324.59375 184.613281c-24.988281-43.285156-80.058594-58.367187-123.5625-34.101562-1.226562 5.992187.492188 12.644531 4.863281 16.980469 1.253907 1.242187 2.761719 2.421874 3.199219 4.136718.34375 1.34375-.050781 2.75-.351562 4.105469-.003907.015625-.007813.035156-.011719.054687-.625 2.855469 3.09375 4.589844 4.90625 2.296876 3.675781-4.644532 4.179687-12.386719 8.851562-8.78125 7.496094 5.785156 12.488281-.289063 12.488281-.289063 2.257813-3.574219 6.859376-4.707031 11.003907-5.539063 4.292969-.863281 10.503906-.609374 9.878906 5.003907-.097656.894531-.421875 1.730469-.910156 2.464843-1.34375 2.03125-1.144531 4.777344.546875 6.53125 1.386718 1.4375 3.78125 2.25 7.929687.75 6.804688-2.5 14.523438-2.417968 21.273438.230469.945312.371094 1.925781.832031 2.492187 1.679688.832032 1.25.507813 2.921875.027344 4.34375-3.125 9.199219-11.683594 16.855469-11.066406 26.546875.394531 6.203125 4.609375 11.523437 9.359375 15.53125 1.585937 1.335937 3.253906 2.578125 4.988281 3.71875h46.335938c.011718-15.523438-3.921876-31.257813-12.242188-45.664063zm0 0" fill="#5294e5"/><path d="m232.539062 139.855469c-10.777343 1.542969-21.453124 5.042969-31.507812 10.652343-1.226562 5.996094.492188 12.648438 4.863281 16.980469 1.253907 1.246094 2.761719 2.425781 3.199219 4.136719.34375 1.34375-.050781 2.753906-.351562 4.105469-.003907.019531-.007813.039062-.011719.054687-.625 2.855469 3.09375 4.589844 4.90625 2.300782 3.675781-4.644532 4.179687-12.386719 8.851562-8.78125.664063.511718 1.304688.925781 1.925781 1.261718.425782-1.503906.519532-3.101562.25-4.675781-2.988281-17.382813 5.363282-24.363281 7.875-26.035156zm0 0" fill="#4374d3"/><path d="m177.914062 200.265625c-.878906-2.285156-4.15625-1.828125-6.582031-1.476563-3.703125.527344-7.476562-.457031-10.632812-2.441406-4.296875 10.757813-6.527344 22.285156-6.539063 33.929688h43.226563c-.007813-1.519532.179687-3.097656.277343-4.589844.207032-3.320312-.957031-7.527344-4.253906-7.992188-1.136718-.160156-2.269531.195313-3.402344.375-7.390624 1.171876-14.574218-6.917968-12.535156-14.117187.34375-1.21875.894532-2.511719.441406-3.6875zm0 0" fill="#2d4fba"/><path d="m259.304688 55.46875c-5.988282-1.3125-5.734376-9.453125 0-10.710938 3.394531-.691406 6.515624 1.949219 6.515624 5.351563 0 3.429687-3.074218 6.003906-6.515624 5.359375zm0 0" fill="#3957c9"/><path d="m259.078125 34.367188c-5.949219 0-10.917969-4.828126-10.917969-10.917969 0-6.808594 6.257813-12.074219 13.046875-10.699219 4.074219.761719 7.644531 4.019531 8.570313 8.566406 1.355468 6.644532-3.753906 13.050782-10.699219 13.050782zm0 0" fill="#5294e5"/><path d="m154.175781 229.1875h.003907c.007812-.585938.007812-1.171875.027343-1.757812-.011719.585937-.027343 1.171874-.03125 1.757812zm0 0" fill="#4374d3"/><path d="m198.875 235.324219c-1.394531-1.683594-1.570312-3.886719-1.464844-6.136719h-43.230468c-.203126 15.875 3.707031 32.007812 12.222656 46.757812 10.476562 18.144532 26.242187 31.328126 44.222656 38.738282-30.351562-35.871094-11.75-79.359375-11.75-79.359375zm0 0" fill="#4374d3"/><path d="m245.5.00390625c-5.582031-.00390625-11.253906 1.18359375-16.644531 3.71484375-19.582031 9.191406-28.007813 32.515625-18.8125 52.101562 1.332031 2.84375 2.972656 5.445313 4.851562 7.796876l30.054688-10.394532c-20.699219-33.832031.546875-53.2148435.550781-53.21874975zm0 0" fill="#3957c9"/><path d="m244.945312 53.222656c-4.574218-9.746094-16.183593-13.9375-25.929687-9.363281-4.59375 2.15625-7.949219 5.875-9.738281 10.222656.242187.582031.492187 1.164063.765625 1.738281 5.542969 11.816407 16.238281 19.558594 28.144531 21.832032 7.839844-5.277344 10.898438-15.605469 6.757812-24.429688zm0 0" fill="#2d4fba"/></svg>
\ No newline at end of file
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/Space/039-Asteroid.svg b/src/backend/base/langflow/initial_setup/profile_pictures/Space/039-Asteroid.svg
new file mode 100644
index 00000000000..fd894241b94
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/Space/039-Asteroid.svg
@@ -0,0 +1 @@
+<svg height="512pt" viewBox="-11 0 512 512.00003" width="512pt" xmlns="http://www.w3.org/2000/svg"><path d="m423.070312 435.261719c41.484376-43.890625 66.929688-103.101563 66.929688-168.261719 0-135.308594-109.6875-245-245-245-135.308594 0-245 109.6875-245 245 0 11.585938.824219 22.976562 2.378906 34.136719zm0 0" fill="#162680"/><path d="m210.359375 154.28125c-95.722656 0-177.246094 60.761719-208.128906 145.816406 16.164062 119.652344 118.683593 211.902344 242.769531 211.902344 70.535156 0 134.097656-29.820312 178.800781-77.523438 5.152344-18.738281 7.921875-38.464843 7.921875-58.835937 0-122.253906-99.109375-221.359375-221.363281-221.359375zm0 0" fill="#83d3fc"/><path d="m2.234375 300.09375c8.484375 62.835938 40.796875 118.101562 87.527344 156.429688-8.207031-72.839844 36.492187-80.164063 48.316406-111.148438 9.53125-24.976562 22.96875-30.960938 31.125-32.113281 4.082031-.574219 7.148437-4.003907 7.148437-8.125v-148.25c-80.671874 12.4375-146.96875 68.429687-174.117187 143.207031zm0 0" fill="#5294e5"/><path d="m197.089844 420.105469c7.28125-10.742188 13.484375-23.855469 9.925781-36.335938-2.902344-10.164062-11.6875-17.53125-20.773437-22.933593-14.613282-8.695313-31.21875-14.027344-48.164063-15.457032-8.273437-.699218-16.800781-.519531-24.21875-5.101562-2.921875-1.804688-5.34375-4.390625-6.628906-7.574219-3.699219-9.191406 3.273437-17.128906 8.289062-24.671875 4.460938-6.71875 7.109375-16.957031.757813-21.925781-2.191406-1.710938-5.003906-2.339844-7.597656-3.335938-17.730469-6.800781-22.679688-34.632812-7.25-46.515625 1.277343-.984375 2.332031-2.261718 2.941406-3.753906 2.867187-7.039062-5.488282-10.417969-11.523438-12.835938-8.417968-3.375-15.136718-10.011718-19.355468-18.007812-32.109376 25.296875-57.046876 59.292969-71.261719 98.433594 12.199219 90.332031 73.617187 165.03125 156.378906 196.226562 7.90625 1.078125 15.648437 4.195313 23.582031 3.402344.429688-.042969.863282-.105469 1.292969-.1875 9.203125-1.710938 11.550781-13.558594 4.070313-19.183594-7.34375-5.515625-10.882813-16.8125-9.015626-26.363281 2.492188-12.738281 11.273438-23.136719 18.550782-33.878906zm0 0" fill="#5294e5"/><path d="m138.078125 345.375c-8.273437-.699219-16.800781-.519531-24.21875-5.097656-2.921875-1.804688-5.34375-4.390625-6.628906-7.574219-3.699219-9.191406 3.277343-17.128906 8.289062-24.671875 4.464844-6.71875 7.109375-16.957031.757813-21.925781-2.191406-1.710938-5.003906-2.339844-7.597656-3.335938-17.730469-6.800781-22.679688-34.632812-7.25-46.515625 1.277343-.984375 2.332031-2.261718 2.941406-3.753906 2.867187-7.039062-5.488282-10.417969-11.523438-12.835938-8.417968-3.375-15.136718-10.011718-19.355468-18.007812-32.109376 25.296875-57.046876 59.292969-71.261719 98.433594 8.488281 62.835937 40.792969 118.101562 87.53125 156.429687-8.203125-72.835937 36.492187-80.160156 48.316406-111.144531zm0 0" fill="#4374d3"/><path d="m118.761719 185.554688c8.066406 2.457031 12.171875 6.503906 15.851562 12.90625 1.855469 3.222656 5.019531 5.488281 8.691407 6.105468 11.242187 1.109375 20.542968-8.355468 27.109374-17.546875 3.914063-5.480469 7.6875-12.414062 5.070313-18.621093-.980469-2.328126-2.777344-4.242188-3.726563-6.582032-.527343-1.296875-.761718-2.648437-.855468-4.023437-23.972656 4.3125-46.601563 12.492187-67.230469 23.863281 5.027344 1.285156 10.128906 2.390625 15.089844 3.898438zm0 0" fill="#4374d3"/><path d="m213.691406 154.320312c-9.839844 11.097657-14.292968 27.140626-10.375 41.535157 1.128906 4.132812 2.867188 8.433593 1.707032 12.5625-.910157 3.234375-3.445313 5.707031-5.714844 8.191406-.03125.03125-.0625.066406-.089844.097656-4.769531 5.238281.933594 13.386719 7.515625 10.773438 13.339844-5.296875 23.785156-20.933594 29.21875-7.699219 8.71875 21.222656 26.5625 14.527344 26.5625 14.527344 9.070313-4.769532 20.097656-1.574219 29.808594 1.699218 10.058593 3.390626 22.785156 11.457032 14.675781 22.476563-1.292969 1.757813-2.988281 3.117187-4.90625 4.074219-5.28125 2.632812-8.1875 8.644531-6.765625 14.375 1.167969 4.6875 5.210937 9.300781 15.738281 11.179687 17.316406 2.996094 33.414063 12.527344 44.371094 26.261719 1.539062 1.929688 3.035156 4.082031 3.191406 6.546875.234375 3.632813-2.46875 6.753906-5.207031 9.152344-17.703125 15.523437-44.945313 21.210937-55.398437 42.308593-6.691407 13.496094-4.28125 29.773438.832031 43.941407 4.660156 12.914062 11.433593 25.0625 19.972656 35.8125 5.417969 6.816406 11.792969 13.613281 13.097656 22.226562 1.132813 7.507813-1.847656 14.960938-4.769531 21.972657-.246094.597656-.496094 1.195312-.746094 1.792968 37.488282-13.203125 70.789063-35.261718 97.40625-63.671875 5.148438-18.730469 7.90625-38.453125 7.90625-58.820312 0-121.136719-97.316406-219.53125-218.03125-221.316407zm0 0" fill="#00c82f"/><path d="m425.953125 325.257812c-17.367187 12.253907-40.105469 18.808594-49.449219 37.660157-6.6875 13.496093-4.28125 29.773437.832032 43.941406 4.660156 12.914063 11.4375 25.058594 19.976562 35.808594 2.5625 3.230469 5.335938 6.453125 7.691406 9.867187 6.578125-5.679687 12.84375-11.707031 18.78125-18.046875 5.160156-18.742187 7.933594-38.46875 7.933594-58.847656.003906-17.332031-2-34.199219-5.765625-50.382813zm0 0" fill="#a2ec00"/><path d="m420.855469 226.425781c0 75.722657-61.386719 137.109375-137.109375 137.109375s-137.109375-61.386718-137.109375-137.109375c0-75.722656 61.386719-137.109375 137.109375-137.109375s137.109375 61.386719 137.109375 137.109375zm0 0" fill="#fc7acd"/><path d="m283.746094 89.316406c-75.722656 0-137.109375 61.382813-137.109375 137.109375 0 32.300781 11.175781 61.984375 29.863281 85.417969 2.78125-28.273438 22.75-31.179688 33.566406-30.617188 3.800782.195313 7.414063-1.878906 9.082032-5.300781 4.796874-9.832031 13.414062-10.519531 18.523437-9.921875 2.859375.332032 5.714844-.617187 7.804687-2.59375l138.363282-130.675781c-25.019532-26.71875-60.605469-43.417969-100.09375-43.417969zm0 0" fill="#f6159c"/><path d="m370.71875 226.425781c0 48.03125-38.9375 86.972657-86.972656 86.972657s-86.972656-38.941407-86.972656-86.972657c0-48.035156 38.9375-86.972656 86.972656-86.972656s86.972656 38.9375 86.972656 86.972656zm0 0" fill="#f6159c"/><path d="m283.746094 139.453125c-48.03125 0-86.972656 38.9375-86.972656 86.972656 0 20.214844 6.898437 38.816407 18.46875 53.585938 1.65625-.921875 3.042968-2.320313 3.90625-4.085938 4.796874-9.832031 13.414062-10.523437 18.523437-9.921875 2.859375.332032 5.710937-.617187 7.804687-2.59375l101.914063-96.253906c-15.878906-17.042969-38.515625-27.703125-63.644531-27.703125zm0 0" fill="#c6237c"/><path d="m460.375.1875c-35.714844 15.386719-76.574219 19.742188-89.757812 59.304688-12.90625 38.71875-37.671876 50.160156-50.140626 53.519531-9.75 2.625-18.027343 9.429687-21.722656 19.65625-5.726562 15.851562-15.488281 26.191406-15.488281 26.191406l2.332031-1.238281c1.832032-.972656 3.714844-1.601563 5.601563-1.867188 2.585937-.363281 5.191406-.09375 7.945312.191406 1.398438.144532 2.84375.292969 4.285157.351563 3.308593.132813 6.867187-.195313 11.199218-1.027344 6.398438-1.230469 12.742188 2.394531 15.070313 8.625.734375 1.964844 2.148437 3.671875 3.515625 5.320313 1.863281 2.25 3.621094 4.371094 3.453125 6.824218-.148438 2.167969-1.757813 3.945313-3.457031 5.832032-.398438.433594-.789063.867187-1.160157 1.308594-4.878906 5.730468-6.933593 13.566406-5.496093 20.957031.046874.238281.097656.480469.148437.722656.269531 1.289063.523437 2.507813.230469 3.585937-.316406 1.167969-1.253906 2.125-2.25 3.140626-.476563.484374-.96875.984374-1.414063 1.53125-3.03125 3.726562-3.1875 8.515624-3.335937 13.144531-.109375 3.304687-.21875 6.722656-1.402344 9.628906-1.328125 3.257813-3.886719 5.753906-6.597656 8.394531-2.335938 2.277344-4.75 4.628906-6.378906 7.558594-.742188 1.339844-1.308594 2.773438-1.859376 4.164062-1.003906 2.539063-1.957031 4.9375-3.835937 6.550782-1.273437 1.085937-2.882813 1.726562-4.585937 2.40625-1.53125.609375-3.117188 1.238281-4.53125 2.242187-1.429688 1.015625-2.550782 2.316407-3.632813 3.578125-.394531.457032-.789063.917969-1.199219 1.359375-.285156.3125-.589844.601563-.894531.894531 20.148437-.335937 47.390625-9.414062 79.132813-41.984374 1.105468-1.132813.15625-3.027344-1.410157-2.8125-12.707031 1.746093-42.164062 2.347656 10.398438-42.167969 69.476562-58.835938-15.898438-75.863281 77.765625-170.054688 4.175781-4.199219 8.136718-8.335937 11.902344-12.40625 1.570312-1.703125-.300782-4.339843-2.429688-3.425781zm0 0" fill="#face7a"/><path d="m291.199219 155.757812c2.585937-.367187 5.1875-.097656 7.941406.1875 1.402344.144532 2.847656.292969 4.289063.351563 3.304687.132813 6.863281-.195313 11.199218-1.027344 6.398438-1.230469 12.738282 2.394531 15.070313 8.625.734375 1.964844 2.148437 3.671875 3.515625 5.320313 1.859375 2.246094 3.621094 4.371094 3.449218 6.824218-.144531 2.167969-1.753906 3.945313-3.453124 5.832032-.398438.433594-.789063.867187-1.160157 1.308594-4.878906 5.730468-6.933593 13.566406-5.496093 20.957031.046874.238281.097656.480469.148437.722656.269531 1.289063.523437 2.507813.230469 3.585937-.316406 1.167969-1.253906 2.125-2.25 3.140626-.476563.484374-.96875.984374-1.414063 1.53125-3.03125 3.726562-3.1875 8.515624-3.335937 13.144531-.109375 3.304687-.21875 6.722656-1.402344 9.628906-1.328125 3.257813-3.886719 5.753906-6.597656 8.394531-2.335938 2.277344-4.75 4.628906-6.378906 7.558594-.742188 1.339844-1.308594 2.773438-1.859376 4.164062-1.003906 2.539063-1.957031 4.9375-3.835937 6.550782-1.273437 1.085937-2.882813 1.726562-4.585937 2.40625-1.53125.609375-3.117188 1.238281-4.53125 2.242187-1.429688 1.015625-2.550782 2.316407-3.632813 3.578125-.394531.457032-.789063.917969-1.199219 1.359375-.289062.3125-.589844.601563-.894531.894531 20.144531-.335937 47.390625-9.414062 79.132813-41.984374 1.105468-1.132813.15625-3.027344-1.410157-2.8125-12.707031 1.746093-42.164062 2.347656 10.398438-42.167969-18.0625 2.347656-19.15625-13.109375-18.34375-21.976563.28125-3.070312-1.78125-5.796875-4.765625-6.578125-8.628906-2.253906-9.351563-9.835937-8.773438-14.949219.308594-2.71875-1.195312-5.34375-3.71875-6.390624-17.320312-7.183594-7.644531-26.605469-7.640625-26.609376-3.542969 1.636719-6.761719 2.726563-9.421875 3.441407-9.75 2.625-18.023437 9.429687-21.71875 19.65625-5.730468 15.851562-15.488281 26.191406-15.488281 26.191406l2.328125-1.238281c1.832031-.972656 3.71875-1.601563 5.605469-1.863282zm0 0" fill="#fbb362"/><path d="m372.835938 114.085938c-4.425782 3.34375-8.933594 6.878906-13.523438 10.621093-19.1875 15.636719-35.09375 25.347657-48.699219 31.214844 1.269531-.167969 2.597657-.378906 4.015625-.652344 6.398438-1.230469 12.738282 2.394531 15.070313 8.625.734375 1.964844 2.148437 3.671875 3.515625 5.324219 1.859375 2.246094 3.621094 4.367188 3.449218 6.824219-.144531 2.164062-1.753906 3.945312-3.453124 5.828125-.398438.4375-.789063.871094-1.160157 1.308594-2.339843 2.75-4.023437 5.988281-4.992187 9.425781 25.050781-15.695313 33.472656-47.816407 48.941406-75.761719 1.121094-2.027344-1.320312-4.15625-3.164062-2.757812zm0 0" fill="#fbb362"/><path d="m329.699219 163.894531c.734375 1.964844 2.148437 3.671875 3.515625 5.320313 1.859375 2.246094 3.621094 4.371094 3.449218 6.824218-.144531 2.164063-1.753906 3.945313-3.453124 5.828126-.398438.4375-.789063.871093-1.160157 1.308593-2.339843 2.753907-4.023437 5.992188-4.992187 9.429688 12.011718-7.527344 20.199218-18.835938 27.175781-31.644531-.789063-1.660157-2.304687-2.945313-4.207031-3.441407-8.628906-2.257812-9.351563-9.839843-8.769532-14.953125.144532-1.300781-.132812-2.578125-.730468-3.675781-11.132813 7.703125-21.019532 13.195313-29.914063 17.03125 1.269531-.167969 2.597657-.378906 4.015625-.652344 6.398438-1.230469 12.738282 2.394531 15.070313 8.625zm0 0" fill="#fc9949"/><path d="m301.113281 99.214844c1.660157-2.984375 5.125-4.746094 6.414063-7.910156 1.441406-3.535157-.164063-8.101563 2.246094-11.0625.671874-.820313 1.632812-1.480469 1.910156-2.503907.210937-.773437-.023438-1.589843-.175782-2.375-.667968-3.445312.308594-7.167969 2.582032-9.839843.996094-1.171876 2.296875-2.300782 2.402344-3.839844.164062-2.402344-2.648438-4.035156-3.464844-6.210938-1.171875-3.140625-4.488282-5.28125-8.046875-4.597656-1.777344.34375-3.574219.570312-5.378907.496094-2.042968-.082032-4.09375-.546875-6.121093-.261719-3.113281.441406-5.765625 2.632813-7.476563 5.277344-1.226562 1.894531-2.066406 4.0625-3.578125 5.742187-1.964843 2.183594-4.824219 3.285156-7.300781 4.863282-4.765625 3.042968-8.117188 7.910156-10.429688 13.070312-1.066406 2.378906-1.949218 4.882812-2.105468 7.484375-.144532 2.386719.324218 4.765625.84375 7.101563.554687 2.492187 1.183594 5.007812 2.429687 7.238281.910157 1.632812 2.128907 3.074219 3.394531 4.453125 2.441407 2.664062 5.199219 5.21875 8.617188 6.386718 4.644531 1.585938 10.164062.1875 13.496094-3.417968.746094-.804688 1.398437-1.71875 2.292968-2.355469 1.386719-.984375 3.230469-1.210937 4.523438-2.316406 1.574219-1.34375 1.921875-3.609375 2.925781-5.421875zm0 0" fill="#fc9949"/><path d="m293.398438 98.613281c-3.417969-1.167969-6.175782-3.71875-8.617188-6.382812-1.265625-1.378907-2.484375-2.820313-3.394531-4.453125-1.246094-2.230469-1.875-4.746094-2.429688-7.242188-.519531-2.332031-.988281-4.710937-.84375-7.101562.15625-2.597656 1.039063-5.105469 2.105469-7.484375.496094-1.109375 1.054688-2.203125 1.652344-3.269531-1.925782 1.824218-4.492188 2.875-6.746094 4.3125-4.765625 3.042968-8.121094 7.910156-10.433594 13.070312-1.066406 2.378906-1.945312 4.882812-2.105468 7.484375-.144532 2.390625.324218 4.769531.84375 7.101563.554687 2.496093 1.1875 5.011718 2.429687 7.242187.914063 1.632813 2.132813 3.074219 3.394531 4.453125 2.441406 2.664062 5.199219 5.214844 8.621094 6.382812 4.644531 1.589844 10.164062.191407 13.496094-3.414062.742187-.808594 1.394531-1.71875 2.289062-2.355469 1.386719-.984375 3.234375-1.210937 4.527344-2.316406 1.574219-1.347656 1.921875-3.613281 2.925781-5.425781.121094-.214844.265625-.410156.402344-.613282-2.617187.855469-5.503906.90625-8.117187.011719zm0 0" fill="#fd7e31"/><path d="m297.015625 34.347656c-3.445313-3.210937-3.636719-8.605468-.425781-12.054687l16.125-17.304688c3.210937-3.445312 8.605468-3.632812 12.050781-.425781 3.449219 3.210938 3.636719 8.605469.425781 12.054688l-16.125 17.304687c-3.210937 3.445313-8.605468 3.636719-12.050781.425781zm0 0" fill="#fbb362"/><path d="m306.554688 252.398438c3.367187-6.070313 10.417968-9.648438 13.035156-16.078126 2.925781-7.1875-.335938-16.464843 4.566406-22.480468 1.363281-1.671875 3.316406-3.011719 3.878906-5.097656.425782-1.570313-.050781-3.226563-.359375-4.824219-1.359375-6.996094.625-14.570313 5.246094-20 2.027344-2.382813 4.671875-4.675781 4.882813-7.800781.335937-4.878907-5.382813-8.203126-7.039063-12.625-2.386719-6.382813-9.121094-10.734376-16.355469-9.34375-3.613281.695312-7.261718 1.15625-10.933594 1.007812-4.15625-.167969-8.320312-1.109375-12.4375-.53125-6.332031.890625-11.726562 5.351562-15.199218 10.71875-2.496094 3.859375-4.203125 8.265625-7.277344 11.679688-3.996094 4.433593-9.804688 6.671874-14.835938 9.882812-9.6875 6.1875-16.5 16.078125-21.203124 26.566406-2.167969 4.832032-3.957032 9.925782-4.277344 15.210938-.292969 4.851562.65625 9.6875 1.714844 14.433594 1.128906 5.070312 2.40625 10.183593 4.9375 14.71875 1.855468 3.316406 4.332031 6.242187 6.898437 9.046874 4.964844 5.417969 10.566406 10.605469 17.519531 12.980469 9.441406 3.226563 20.660156.382813 27.429688-6.945312 1.515625-1.640625 2.839844-3.492188 4.65625-4.785157 2.820312-2 6.570312-2.460937 9.195312-4.710937 3.203125-2.738281 3.910156-7.339844 5.957032-11.023437zm0 0" fill="#fd7e31"/><path d="m282.59375 259.269531c-2.6875-4.050781-5.3125-8.222656-6.78125-12.859375-1.597656-5.050781-1.753906-10.445312-1.464844-15.734375.625-11.476562 3.433594-23.15625 10.253906-32.402343 3.542969-4.804688 8.160157-8.980469 10.296876-14.550782 1.648437-4.292968 1.65625-9.015625 2.601562-13.511718 1.265625-6.035157 4.507812-11.910157 9.75-15.109376-1.253906.078126-2.511719.101563-3.773438.054688-4.15625-.167969-8.320312-1.109375-12.4375-.53125-6.328124.890625-11.722656 5.347656-15.199218 10.71875-2.496094 3.859375-4.199219 8.265625-7.277344 11.679688-3.992188 4.433593-9.800781 6.671874-14.832031 9.882812-9.683594 6.1875-16.503907 16.078125-21.203125 26.566406-2.167969 4.832032-3.957032 9.925782-4.277344 15.210938-.296875 4.851562.65625 9.6875 1.714844 14.433594 1.128906 5.070312 2.40625 10.183593 4.9375 14.714843 1.851562 3.320313 4.332031 6.246094 6.898437 9.050781 4.964844 5.414063 10.566407 10.605469 17.519531 12.980469 9.441407 3.222657 20.660157.382813 27.429688-6.945312 1.164062-1.257813 2.21875-2.640625 3.46875-3.800781-2.914062-2.941407-5.324219-6.386719-7.625-9.847657zm0 0" fill="#fc5d1f"/><path d="m447.722656 149.820312c0 6.28125-5.089844 11.367188-11.367187 11.367188-6.277344 0-11.367188-5.085938-11.367188-11.367188 0-6.277343 5.089844-11.367187 11.367188-11.367187 6.277343 0 11.367187 5.089844 11.367187 11.367187zm0 0" fill="#fc9949"/><path d="m407.710938 200.339844c0 4.707031-3.816407 8.523437-8.523438 8.523437s-8.523438-3.816406-8.523438-8.523437c0-4.707032 3.816407-8.523438 8.523438-8.523438s8.523438 3.816406 8.523438 8.523438zm0 0" fill="#face7a"/></svg>
\ No newline at end of file
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/Space/040-mission.svg b/src/backend/base/langflow/initial_setup/profile_pictures/Space/040-mission.svg
new file mode 100644
index 00000000000..003e0ef037b
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/Space/040-mission.svg
@@ -0,0 +1 @@
+<svg height="512pt" viewBox="-3 0 512 512.00001" width="512pt" xmlns="http://www.w3.org/2000/svg"><path d="m416.425781 442.136719c45.5-44.496094 73.753907-106.554688 73.753907-175.226563 0-135.355468-109.730469-245.085937-245.089844-245.085937s-245.089844 109.730469-245.089844 245.085937c0 33.023438 6.546875 64.507813 18.382812 93.257813zm0 0" fill="#162680"/><path d="m205.011719 56.433594c-3.125 0-6.113281-1.78125-7.503907-4.808594-1.90625-4.140625-.09375-9.039062 4.046876-10.945312 27.523437-12.65625 56.789062-19.789063 86.992187-21.199219 4.574219-.1875 8.417969 3.304687 8.632813 7.859375.210937 4.550781-3.308594 8.414062-7.859376 8.628906-28.078124 1.308594-55.28125 7.9375-80.867187 19.707031-1.117187.511719-2.289063.757813-3.441406.757813zm0 0" fill="#9d4ad3"/><path d="m74.269531 270.335938c-4.394531 0-8.050781-3.464844-8.242187-7.898438-.996094-23.253906 1.488281-46.4375 7.390625-68.902344 1.15625-4.40625 5.671875-7.042968 10.078125-5.886718 4.40625 1.160156 7.042968 5.671874 5.882812 10.078124-5.480468 20.867188-7.789062 42.398438-6.859375 64.003907.195313 4.554687-3.339843 8.402343-7.894531 8.597656-.117188.007813-.234375.007813-.355469.007813zm0 0" fill="#dcb1f3"/><path d="" style="fill:none;stroke-width:10;stroke-linecap:round;stroke-linejoin:round;stroke:#000;stroke-miterlimit:10" transform="matrix(1.00036 0 0 1.00036 -5.41294 .000009)"/><path d="m260.3125 267.003906c4.148438-5.941406 7.09375-12.859375 8.40625-20.472656 4.773438-27.707031-13.816406-54.035156-41.523438-58.8125-27.707031-4.773438-54.035156 13.820312-58.808593 41.527344-1.957031 11.363281.019531 22.492187 4.9375 31.996094 29.09375-4.074219 58.75-2.09375 86.988281 5.761718zm0 0" fill="#face7a"/><path d="m233.359375 261.347656c1.980469-9.539062 8.082031-18.300781-5.796875-27.382812-27.207031-17.8125-9.410156-46.355469-9.019531-46.976563-24.339844-.023437-45.886719 17.457031-50.15625 42.257813-1.957031 11.363281.019531 22.492187 4.9375 31.996094 19.960937-2.796876 40.183593-2.742188 60.035156.105468zm0 0" fill="#fbb362"/><path d="m205.347656 259.191406c1.007813-2.085937 1.753906-4.34375 2.167969-6.746094 2.375-13.789062-6.878906-26.894531-20.667969-29.269531-6.5-1.121093-12.839844.347657-17.984375 3.652344-.175781.796875-.335937 1.601563-.476562 2.417969-1.957031 11.363281.027343 22.488281 4.949219 31.996094 10.628906-1.488282 21.328124-2.171876 32.011718-2.050782zm0 0" fill="#fc9949"/><path d="m17.933594 359.066406c36.421875 89.683594 124.398437 152.933594 227.15625 152.933594 67.121094 0 127.933594-26.992188 172.195312-70.703125-3.96875-25.972656-12.738281-51.65625-26.667968-75.777344-60.03125-103.976562-192.980469-139.597656-296.953126-79.570312-31.976562 18.460937-57.476562 43.828125-75.730468 73.117187zm0 0" fill="#61b6ff"/><path d="m233.429688 259.054688c-46.632813-6.769532-95.792969 1.507812-139.765626 26.894531-31.976562 18.464843-57.476562 43.828125-75.730468 73.117187 19.199218 47.273438 52.722656 87.191406 95.179687 114.382813.414063-39.863281 36.265625-50.871094 36.265625-50.871094s19.578125-7.550781 17.246094-29.566406c-1.203125-11.335938 5.945312-19.398438 13.160156-24.550781 6.023438-4.300782 8.539063-11.890626 6.664063-19.046876-2.792969-10.671874 1.84375-21.527343 5.164062-27.472656 1.71875-3.070312 2.496094-6.589844 2.144531-10.089844-4.226562-42.0625 35.351563-51.855468 39.671876-52.796874zm0 0" fill="#5294e5"/><path d="m390.617188 365.519531c-59.480469-103.027343-190.558594-138.925781-294.097657-81.167969-2.921875 14.265626 1.167969 30.097657 11.570313 40.414063 2.988281 2.964844 6.578125 5.765625 7.617187 9.84375.816407 3.203125-.125 6.550781-.835937 9.777344-.011719.042969-.019532.085937-.027344.128906-1.484375 6.796875 7.363281 10.925781 11.679688 5.46875 8.746093-11.050781 9.949218-29.480469 21.070312-20.894531 17.832031 13.769531 29.722656-.6875 29.722656-.6875 5.371094-8.507813 16.320313-11.207032 26.1875-13.1875 10.21875-2.054688 25.003906-1.445313 23.515625 11.910156-.238281 2.128906-1.011719 4.117188-2.171875 5.871094-3.199218 4.835937-2.71875 11.375 1.304688 15.546875 3.296875 3.417969 9 5.351562 18.875 1.78125 16.195312-5.953125 34.566406-5.753907 50.632812.550781 2.253906.882812 4.582032 1.980469 5.925782 3.996094 1.984374 2.976562 1.21875 6.957031.066406 10.34375-7.429688 21.894531-27.808594 40.109375-26.339844 63.183594.9375 14.761718 10.976562 27.421874 22.285156 36.960937 10.304688 8.695313 22.03125 15.699219 34.570313 20.648437 4.054687 1.601563 8.316406 3.078126 12.230469 5.023438 27.28125-12.109375 51.9375-29.046875 72.886718-49.734375-3.96875-25.972656-12.738281-51.65625-26.667968-75.777344zm0 0" fill="#a2ec00"/><path d="m96.519531 284.351562c-2.921875 14.265626 1.167969 30.097657 11.570313 40.414063 2.988281 2.964844 6.578125 5.765625 7.617187 9.84375.816407 3.203125-.125 6.550781-.835937 9.777344-.011719.042969-.019532.085937-.027344.128906-1.484375 6.792969 7.363281 10.925781 11.679688 5.46875 8.746093-11.050781 9.949218-29.480469 21.070312-20.894531 17.832031 13.769531 29.722656-.6875 29.722656-.6875 3.539063-5.605469 9.503906-8.683594 15.980469-10.699219.484375-1.902344.65625-3.878906.457031-5.851563-4.203125-41.894531 35.042969-51.78125 39.621094-52.789062-45.609375-6.601562-93.632812 1.175781-136.855469 25.289062zm0 0" fill="#00c82f"/><path d="m219.089844 393.007812c-1.949219-.460937-3.867188-1.019531-5.707032-1.820312-5.34375-2.328125-10.101562-7.816406-8.769531-13.488281.351563-1.507813 1.113281-2.914063 1.296875-4.453125.289063-2.425782-.914062-4.820313-2.539062-6.640625-5.421875-6.085938-14.917969-6.761719-22.722656-4.40625-7.804688 2.355469-14.613282 7.140625-21.957032 10.679687-5.90625 2.84375-10.390625 2.691406-15.867187.96875-2.757813-.867187-5.765625-.496094-8.1875 1.089844-7.015625 5.289062-7.347657 15.601562-6.261719 24.320312.648438 5.195313 2.144531 11.148438 6.910156 13.320313 1.789063.8125 3.828125.964844 5.601563 1.800781 3.582031 1.691406 5.371093 5.761719 8.488281 8.199219 6.0625 4.738281 15.027344 2.03125 21.484375-2.148437 6.457031-4.183594 12.492187-9.820313 20.117187-10.824219 6.507813-.855469 12.902344 1.875 18.855469 4.644531.546875.253906 1.097657.511719 1.652344.765625 6.101563 2.816406 13.3125-.160156 15.71875-6.4375 2.523437-6.570313-1.261719-13.945313-8.113281-15.570313zm0 0" fill="#a2ec00"/><path d="m179.785156 368.460938c2.660156-1.898438 4.632813-4.441407 5.847656-7.300782-1.699218.207032-3.378906.554688-4.984374 1.039063-7.804688 2.355469-14.613282 7.140625-21.957032 10.679687-5.90625 2.84375-10.390625 2.691406-15.867187.96875-2.757813-.867187-5.765625-.496094-8.1875 1.089844-7.015625 5.289062-7.347657 15.601562-6.261719 24.320312.648438 5.195313 2.144531 11.148438 6.910156 13.320313 1.789063.8125 3.828125.964844 5.601563 1.800781 3.582031 1.691406 5.371093 5.761719 8.488281 8.199219 0 0 19.582031-7.550781 17.25-29.566406-1.203125-11.335938 5.945312-19.398438 13.160156-24.550781zm0 0" fill="#00c82f"/><path d="m70.9375 315.082031c-1.980469-1.496093-4.449219-2.246093-6.40625-3.769531-1.085938-.84375-1.949219-1.875-2.703125-3.003906-17.484375 14.777344-32.175781 31.964844-43.890625 50.765625.253906.625.507812 1.25.765625 1.871093 4.125-1.195312 8.242187-2.449218 12.414063-3.417968 8.066406-1.875 13.546874-.445313 19.816406 3.1875 3.164062 1.832031 6.96875 2.207031 10.390625.925781 10.105469-4.578125 13.371093-17.191406 14.441406-28.234375.640625-6.582031.441406-14.328125-4.828125-18.324219zm0 0" fill="#4374d3"/><path d="m390.617188 365.519531c-8.511719-14.742187-18.492188-28.101562-29.644532-40.015625-8.75 18.949219-24.871094 35.6875-23.5625 56.304688.9375 14.765625 10.980469 27.425781 22.285156 36.964844 10.304688 8.691406 22.03125 15.695312 34.574219 20.648437 5.738281 2.261719 11.886719 4.28125 16.875 7.734375 2.074219-1.914062 4.117188-3.863281 6.125-5.84375-3.96875-25.976562-12.722656-51.664062-26.652343-75.792969zm0 0" fill="#d7f9b7"/><path d="m427.253906 194.855469c-3-2.347657-4.394531-6.179688-6.886718-9.0625-4.285157-4.957031-11.324219-6.566407-17.878907-6.652344-6.554687-.089844-13.128906 1.042969-19.644531.3125-6.515625-.726563-13.328125-3.851563-15.996094-9.84375-2.152344-4.824219-1.191406-10.375-.933594-15.652344.257813-5.277343-.652343-11.339843-5.046874-14.265625-3.597657-2.394531-8.296876-1.875-12.570313-2.492187-9.738281-1.40625-17.421875-8.828125-23.796875-16.324219-2.476562-2.914062-4.953125-5.96875-8.296875-7.824219-4.972656-2.761719-11.027344-2.433593-16.6875-1.882812-.023437 0-.046875.003906-.070313.007812.226563 2.21875.515626 4.445313.890626 6.675781 9.234374 55.074219 61.367187 92.230469 116.441406 82.996094 5.320312-.894531 10.472656-2.191406 15.433594-3.847656-1.800782-.328125-3.496094-1-4.957032-2.144531zm0 0" fill="#f948b4"/><path d="m324.5 120.875c-2.476562-2.914062-4.957031-5.96875-8.296875-7.824219-4.976563-2.761719-11.027344-2.433593-16.691406-1.882812-.019531.003906-.042969.003906-.066407.007812.222657 2.21875.515626 4.445313.886719 6.675781 3.667969 21.851563 14.089844 40.878907 28.765625 55.3125-4.390625-18.058593 4.777344-27.171874 11.730469-31.339843 2.109375-1.265625 3.753906-3.074219 4.808594-5.183594-8.492188-2.246094-15.355469-8.964844-21.136719-15.765625zm0 0" fill="#c6237c"/><path d="m474.632812 152.835938c-6.980468-8.078126-18.445312-10.695313-29.121093-10.839844-10.679688-.144532-21.386719 1.703125-32 .515625-10.613281-1.191407-21.710938-6.28125-26.058594-16.035157-3.5-7.859374-1.941406-16.902343-1.519531-25.496093.417968-8.597657-1.058594-18.472657-8.222656-23.238281-5.855469-3.898438-13.511719-3.058594-20.472657-4.0625-15.867187-2.289063-28.382812-14.378907-38.765625-26.589844-.722656-.851563-1.464844-1.707032-2.203125-2.5625-13.210937 19.550781-19.640625 43.726562-16.59375 68.746094.058594-.007813.121094-.015626.183594-.019532 5.546875-.539062 11.480469-.863281 16.355469 1.84375 3.277344 1.820313 5.707031 4.816406 8.132812 7.671875 6.25 7.347657 13.78125 14.621094 23.328125 16 4.191407.605469 8.796875.097657 12.320313 2.445313 4.3125 2.867187 5.199218 8.808594 4.945312 13.984375-.25 5.171875-1.191406 10.613281.917969 15.34375 2.613281 5.867187 9.292969 8.929687 15.679687 9.648437 6.386719.714844 12.832032-.398437 19.257813-.3125 6.425781.089844 13.320313 1.664063 17.523437 6.523438 2.441407 2.824218 3.8125 6.582031 6.75 8.882812 1.628907 1.273438 3.550782 1.953125 5.585938 2.21875 20.527344-6.492187 37.84375-19.191406 50.1875-35.597656-2.046875-3.019531-3.824219-6.308594-6.210938-9.070312zm0 0" fill="#fc7acd"/><path d="m357.238281 73.679688c-15.867187-2.289063-28.378906-14.378907-38.761719-26.589844-.726562-.855469-1.46875-1.707032-2.207031-2.5625-13.207031 19.546875-19.640625 43.726562-16.59375 68.746094.0625-.007813.121094-.015626.183594-.019532 5.550781-.542968 11.480469-.863281 16.355469 1.84375 3.277344 1.820313 5.707031 4.816406 8.132812 7.671875 5.597656 6.578125 12.226563 13.085938 20.402344 15.367188 1.519531-2.210938 2.320312-4.878907 2.191406-7.664063-1.492187-31.8125 14.144532-43.878906 23.410156-48.214844 2.484376-1.160156 4.445313-3.113281 5.65625-5.484374-5.589843-2.777344-12.460937-2.183594-18.769531-3.09375zm0 0" fill="#f948b4"/><path d="m499.230469 95.234375c-4.738281 1.257813-10.238281 1.546875-14.101563-1.476563-2.957031-2.316406-4.335937-6.09375-6.792968-8.9375-4.230469-4.894531-11.175782-6.480468-17.640626-6.566406-6.46875-.085937-12.957031 1.03125-19.382812.308594-6.429688-.71875-13.152344-3.800781-15.785156-9.710938-2.121094-4.761718-1.175782-10.238281-.921875-15.445312.253906-5.203125-.640625-11.183594-4.980469-14.074219-3.546875-2.359375-8.183594-1.851562-12.402344-2.460937-9.609375-1.386719-17.1875-8.707032-23.476562-16.105469-2.445313-2.875-4.890625-5.886719-8.1875-7.71875-4.910156-2.722656-10.878906-2.402344-16.464844-1.855469-2.230469.214844-4.457031.464844-6.683594.730469-15.167968 8.101563-27.839844 19.875-37.035156 33.960937 1.195312 1.351563 2.359375 2.730469 3.523438 4.097657 10.167968 11.960937 22.425781 23.800781 37.964843 26.042969 6.820313.984374 14.316407.160156 20.054688 3.976562 7.015625 4.671875 8.464843 14.34375 8.050781 22.761719-.410156 8.417969-1.9375 17.273437 1.492188 24.972656 4.253906 9.554687 15.125 14.539063 25.519531 15.703125s20.886719-.644531 31.34375-.5c10.457031.140625 21.683593 2.703125 28.523437 10.613281 2.792969 3.230469 4.726563 7.203125 7.285156 10.582031 15.21875-19.117187 23.492188-43.652343 21.828126-69.402343-.570313.179687-1.148438.351562-1.730469.503906zm0 0" fill="#b26cde"/><path d="m383.746094 20.765625c-2.445313-2.875-4.886719-5.890625-8.1875-7.71875-4.90625-2.726563-10.878906-2.402344-16.464844-1.859375-2.230469.21875-4.457031.46875-6.683594.734375-15.167968 8.097656-27.839844 19.875-37.035156 33.957031 1.195312 1.351563 2.363281 2.734375 3.523438 4.101563 10.167968 11.957031 22.425781 23.800781 37.964843 26.039062 5.976563.863281 12.46875.339844 17.84375 2.761719 1.414063-1.789062 2.339844-3.957031 2.585938-6.296875 2.113281-20.386719 12.78125-28.605469 20.488281-31.902344 2.289062-.976562 4.152344-2.636719 5.421875-4.671875-7.738281-2.546875-14.074219-8.8125-19.457031-15.144531zm0 0" fill="#9d4ad3"/><path d="m498.019531 95.46875c-4.707031 1.25-10.171875 1.53125-14.007812-1.46875-2.9375-2.300781-4.308594-6.054688-6.75-8.882812-4.203125-4.859376-11.097657-6.433594-17.523438-6.519532-6.273437-.085937-12.5625.957032-18.800781.34375l-1.109375.878906s14.683594 16.046876.820313 26.203126c-13.859376 10.160156-7.542969 29.625 2.679687 36.910156 10.457031.144531 21.683594 2.703125 28.523437 10.617187 2.792969 3.230469 4.722657 7.199219 7.28125 10.582031 15.257813-19.164062 23.53125-43.765624 21.820313-69.582031-.96875.339844-1.941406.65625-2.933594.917969zm0 0" fill="#c78fe8"/><path d="m383.328125 1.410156c-12.542969 2.101563-24.15625 6.4375-34.507813 12.523438 3.105469-.394532 6.214844-.746094 9.328126-1.050782 5.550781-.539062 11.480468-.859374 16.355468 1.84375 3.277344 1.820313 5.707032 4.816407 8.132813 7.671876 6.25 7.347656 13.78125 14.621093 23.328125 16 4.191406.605468 8.796875.097656 12.320312 2.445312 4.3125 2.867188 5.199219 8.808594 4.949219 13.984375-.253906 5.171875-1.191406 10.613281.914063 15.34375 2.617187 5.871094 9.292968 8.933594 15.679687 9.648437 6.386719.714844 12.832031-.398437 19.257813-.308593 6.425781.085937 13.324218 1.660156 17.523437 6.523437 2.445313 2.824219 3.8125 6.578125 6.753906 8.882813 3.832031 3 9.296875 2.714843 14.007813 1.464843 1.226562-.324218 2.4375-.714843 3.625-1.160156-.214844-3.585937-.617188-7.191406-1.222656-10.816406-9.234376-55.074219-61.371094-92.234375-116.445313-82.996094zm0 0" fill="#dcb1f3"/><path d="m424.90625 3.097656c-13.195312-3.351562-27.285156-4.085937-41.578125-1.6875-12.546875 2.101563-24.15625 6.4375-34.507813 12.523438 3.105469-.394532 6.210938-.746094 9.328126-1.050782 5.546874-.539062 11.480468-.859374 16.355468 1.84375 3.277344 1.820313 5.707032 4.816407 8.132813 7.671876 5.367187 6.3125 11.6875 12.558593 19.414062 15.070312 1.949219-2.234375 3.066407-5.167969 3.011719-8.246094-.457031-25.878906 19.839844-26.125 19.84375-26.125zm0 0" fill="#c78fe8"/><path d="m232.574219 225.808594c-6.15625 0-11.003907-5.015625-11.003907-11.003906 0-5.085938 3.546876-9.703126 8.859376-10.78125 6.628906-1.335938 13.148437 3.703124 13.148437 10.78125 0 5.980468-4.84375 11.003906-11.003906 11.003906zm0 0" fill="#fadda0"/><path d="m110.429688 117.835938-16.695313 21.25c-1.378906-.382813-2.875-.105469-4.035156.765624-.351563.238282-.675781.53125-.953125.882813l-6.535156 8.320313c-3.289063 1.25-6.90625 1.347656-10.261719.277343l-24.324219-7.789062c-2.65625-.847657-3.648438-4.085938-1.925781-6.277344l10.492187-13.355469zm0 0" fill="#b9e9fd"/><path d="m89.699219 139.851562c-.351563.238282-.675781.53125-.953125.882813l-6.535156 8.320313c-3.289063 1.25-6.90625 1.347656-10.261719.277343l-6.238281-2c1.355468-.207031 5.605468-1.5 11.304687-9.421875 5.625-7.820312 10.980469-15.761718 12.832031-18.527344l20.578125-1.546874-16.691406 21.25c-1.378906-.382813-2.875-.105469-4.035156.765624zm0 0" fill="#61b6ff"/><path d="m140.574219 209.804688c-1.722657 2.191406-5.101563 1.992187-6.554688-.386719l-13.324219-21.789063c-1.835937-3.003906-2.597656-6.542968-2.160156-10.035156l6.535156-8.320312c.277344-.351563.484376-.734376.632813-1.132813.570313-1.335937.488281-2.855469-.210937-4.105469l16.695312-21.246094 8.878906 53.660157zm0 0" fill="#b9e9fd"/><path d="m125.703125 168.140625c.570313-1.335937.488281-2.855469-.210937-4.105469l16.695312-21.25 3.304688 19.96875c-3.011719 3.472656-7.957032 9.132813-13.980469 15.832032-5.5 6.121093-7.257813 10.960937-7.722657 14.101562l-3.09375-5.058594c-1.835937-3.003906-2.597656-6.542968-2.160156-10.035156l6.535156-8.320312c.277344-.355469.484376-.734376.632813-1.132813zm0 0" fill="#61b6ff"/><path d="m150.59375 197.046875-8.878906-53.660156 9.015625-11.472657 8.394531 50.738282c.308594 1.863281-.179688 3.769531-1.34375 5.25zm0 0" fill="#d0f6fa"/><path d="m148.664062 159.070312s-1.328124 1.558594-3.652343 4.238282l-3.296875-19.921875 9.015625-11.472657 4.34375 26.261719c-3.210938-3.226562-6.410157.894531-6.410157.894531zm0 0" fill="#b9e9fd"/><path d="m109.957031 118.4375-54.238281 4.074219 7.1875-9.144531c1.164062-1.484376 2.898438-2.410157 4.78125-2.550782l51.285156-3.851562zm0 0" fill="#d0f6fa"/><path d="m87.507812 109.328125 31.464844-2.363281-9.015625 11.472656-20.503906 1.542969c.691406-1.03125 1.082031-1.621094 1.082031-1.621094s7.148438-8.234375-3.027344-9.03125zm0 0" fill="#b9e9fd"/><path d="m178.496094 55.992188-4.679688 5.960937c-1.664062 2.113281-1.296875 5.175781.816406 6.835937 2.117188 1.660157 5.175782 1.292969 6.835938-.820312l4.683594-5.960938c1.660156-2.113281 1.292968-5.175781-.820313-6.835937-2.117187-1.660156-5.175781-1.289063-6.835937.820313zm0 0" fill="#fc7acd"/><path d="m138.320312 80.351562c9.515626-7.144531 23.828126-15.699218 36.792969-18.195312 2.601563-.503906 5.730469 1.957031 5.859375 4.605469.644532 13.1875-4.277344 29.117187-8.96875 40.050781zm0 0" fill="#f948b4"/><path d="m180.972656 66.761719c.035156.667969.046875 1.34375.054688 2.023437-26.320313 10.503906-22.015625 19.566406-22.015625 19.566406l-.886719-.085937-14.699219-11.546875c9.125-6.179688 20.871094-12.480469 31.6875-14.5625 2.601563-.503906 5.730469 1.957031 5.859375 4.605469zm0 0" fill="#f6159c"/><path d="m124.367188 163.410156-29.757813-23.378906c-.519531-.410156-1.109375-.671875-1.71875-.796875l45.945313-58.480469 32.65625 25.65625-45.941407 58.480469c-.269531-.5625-.664062-1.070313-1.183593-1.480469zm0 0" fill="#b9e9fd"/><path d="m109.488281 151.71875-14.878906-11.6875c-.519531-.410156-1.109375-.667969-1.71875-.796875l45.945313-58.476563 16.328124 12.824219zm0 0" fill="#83d3fc"/><path d="m95.011719 139.519531 29.757812 23.382813c2.09375 1.644531 2.457031 4.675781.8125 6.769531l-9.804687 12.480469c-1.644532 2.097656-4.675782 2.460937-6.773438.8125l-29.757812-23.375c-2.09375-1.648438-2.457032-4.679688-.8125-6.773438l9.804687-12.480468c1.644531-2.097657 4.675781-2.460938 6.773438-.816407zm0 0" fill="#d0f6fa"/><path d="m109.542969 151.902344-14.824219 18.871094c-.160156.203124-.308594.40625-.449219.613281l-15.023437-11.800781c-2.09375-1.644532-2.457032-4.679688-.8125-6.773438l9.804687-12.480469c1.644531-2.09375 4.675781-2.457031 6.773438-.8125l15.019531 11.804688c-.167969.183593-.328125.378906-.488281.578125zm0 0" fill="#b9e9fd"/><path d="m135.550781 102.644531c-2.214843 2.820313-1.726562 6.902344 1.09375 9.117188l5.242188 4.117187c2.816406 2.214844 6.898437 1.722656 9.113281-1.09375 2.214844-2.820312 1.726562-6.898437-1.09375-9.113281l-5.242188-4.121094c-2.820312-2.214843-6.902343-1.722656-9.113281 1.09375zm0 0" fill="#fbb362"/><path d="m133.214844 76.339844c-2.214844 2.820312-1.722656 6.902344 1.09375 9.117187l33.6875 26.460938c2.820312 2.214843 6.898437 1.726562 9.113281-1.09375 2.214844-2.820313 1.726563-6.898438-1.09375-9.113281l-33.6875-26.464844c-2.828125-2.222656-6.90625-1.714844-9.113281 1.09375zm0 0" fill="#fc7acd"/><path d="m151.371094 90.585938c-1.875 2.386718-1.90625 5.632812-.308594 8.03125l-16.753906-13.164063c-2.816406-2.214844-3.308594-6.292969-1.09375-9.113281 2.207031-2.808594 6.285156-3.316406 9.113281-1.09375l16.683594 13.105468c-2.691407-.9375-5.789063-.121093-7.640625 2.234376zm0 0" fill="#f948b4"/><path d="m136.15625 128.28125-38.410156 48.894531c-2.183594 2.777344-6.191406 3.300781-9.011719 1.171875-2.902344-2.1875-3.441406-6.335937-1.199219-9.191406l38.550782-49.066406c2.289062-2.917969 6.589843-3.351563 9.421874-.839844 2.59375 2.304688 2.792969 6.304688.648438 9.03125zm0 0" fill="#61b6ff"/><path d="m105.375 157.207031c2.273438 1.71875 5.253906 1.84375 7.613281.566407l-15.242187 19.402343c-2.183594 2.78125-6.191406 3.300781-9.011719 1.171875-2.902344-2.1875-3.441406-6.332031-1.199219-9.191406l15.289063-19.460938c-.746094 2.707032.167969 5.714844 2.550781 7.511719zm0 0" fill="#5294e5"/></svg>
\ No newline at end of file
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/Space/041-spaceship.svg b/src/backend/base/langflow/initial_setup/profile_pictures/Space/041-spaceship.svg
new file mode 100644
index 00000000000..d1164b1665f
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/Space/041-spaceship.svg
@@ -0,0 +1 @@
+<svg height="511pt" viewBox="-10 0 511 511.9994" width="511pt" xmlns="http://www.w3.org/2000/svg"><path d="m376.824219 473.855469c68.335937-43.472657 113.675781-119.867188 113.675781-206.855469 0-135.3125-109.691406-245-245-245-132.085938 0-239.738281 104.527344-244.796875 235.375 0 0 167.039063 169.828125 376.121094 216.480469zm0 0" fill="#a2ec00"/><path d="m369.121094 48.269531c3.335937-.984375 6.816406 1.023438 7.628906 4.40625l1.226562 5.09375 13.074219-22.648437c2.214844-3.832032.902344-8.734375-2.929687-10.945313-3.832032-2.214843-8.734375-.898437-10.949219 2.933594l-13.074219 22.648437zm0 0" fill="#83d3fc"/><path d="m383.445312 32.269531c-5.109374-2.949219-6.859374-9.484375-3.910156-14.59375l7.121094-12.332031c2.949219-5.109375 9.484375-6.863281 14.59375-3.910156 5.109375 2.949218 6.859375 9.484375 3.910156 14.59375l-7.121094 12.335937c-2.949218 5.105469-9.484374 6.859375-14.59375 3.90625zm0 0" fill="#fadda0"/><path d="m391.046875 19.101562c-4.304687-2.484374-6.339844-7.378906-5.40625-12l-6.105469 10.574219c-2.949218 5.109375-1.199218 11.644531 3.910156 14.59375 5.109376 2.953125 11.644532 1.199219 14.59375-3.90625l6.105469-10.574219c-3.53125 3.117188-8.789062 3.800782-13.097656 1.3125zm0 0" fill="#fbb362"/><path d="m37.246094 250.082031 26.460937 52.125-53.367187-5.523437zm0 0" fill="#c78fe8"/><path d="m96.410156 307.988281c-.332031-1.832031-.335937-3.691406-.058594-5.503906l-94.511718-9.785156c5.421875 52.023437 27.132812 99.195312 59.929687 136.355469.335938-.945313.742188-1.871094 1.253907-2.761719l38.625-66.898438c1.976562-3.421875 2.675781-7.429687 1.976562-11.316406zm0 0" fill="#5294e5"/><path d="m15.714844 352.164062c10.574218 28.511719 26.304687 54.515626 46.054687 76.890626.335938-.945313.742188-1.871094 1.253907-2.761719l37.71875-65.328125zm0 0" fill="#4374d3"/><path d="m35.691406 226.601562c-3.832031-2.210937-5.148437-7.109374-2.933594-10.941406l20.652344-35.773437c2.210938-3.835938 7.113282-5.144531 10.945313-2.933594s5.144531 7.113281 2.933593 10.945313l-20.65625 35.773437c-2.210937 3.832031-7.109374 5.144531-10.941406 2.929687zm0 0" fill="#83d3fc"/><path d="m64.355469 176.953125c-3.832031-2.214844-8.730469-.902344-10.945313 2.933594l-10.734375 18.589843c2.683594-2.179687 6.53125-2.609374 9.703125-.777343 3.171875 1.828125 4.722656 5.378906 4.175782 8.789062l10.734374-18.589843c2.210938-3.835938.898438-8.734376-2.933593-10.945313zm0 0" fill="#61b6ff"/><path d="m16.699219 259.496094c5.636719 3.257812 8.777343 9.167968 8.777343 15.242187l23.53125-40.757812c4.203126-7.28125 1.707032-16.589844-5.574218-20.792969-7.28125-4.207031-16.589844-1.710938-20.792969 5.570312l-21.910156 37.949219c-.027344.675781-.054688 1.347657-.078125 2.023438 4.988281-2.257813 10.941406-2.179688 16.046875.765625zm0 0" fill="#b26cde"/><path d="m5.148438 314.667969 19.054687-33c4.855469-8.410157 1.972656-19.164063-6.4375-24.019531-5.453125-3.148438-11.882813-3.027344-17.0625-.273438-.121094 3.195312-.203125 6.398438-.203125 9.625 0 16.3125 1.609375 32.246094 4.648438 47.667969zm0 0" fill="#9d4ad3"/><path d="m364.863281 438.253906-58.371093 3.144532 31.46875 43.457031zm0 0" fill="#c78fe8"/><path d="m385.976562 427.863281c-3.832031-2.214843-5.148437-7.113281-2.933593-10.945312l20.652343-35.773438c2.214844-3.832031 7.113282-5.144531 10.945313-2.933593 3.832031 2.214843 5.144531 7.113281 2.933594 10.945312l-20.652344 35.773438c-2.214844 3.832031-7.113281 5.144531-10.945313 2.933593zm0 0" fill="#83d3fc"/><path d="m414.640625 378.210938c-3.832031-2.210938-8.730469-.898438-10.945313 2.933593l-10.734374 18.589844c2.683593-2.179687 6.53125-2.609375 9.703124-.777344 3.171876 1.832031 4.722657 5.378907 4.175782 8.792969l10.734375-18.59375c2.210937-3.832031.898437-8.734375-2.933594-10.945312zm0 0" fill="#61b6ff"/><path d="m292.980469 416.007812c-1.429688 1.148438-3.042969 2.070313-4.792969 2.703126l-38.328125 13.796874c-3.714844 1.339844-6.835937 3.949219-8.8125 7.367188l-38.625 66.902344c-.257813.445312-.546875.875-.839844 1.289062 14.25 2.578125 28.925781 3.933594 43.917969 3.933594 36.085938 0 70.351562-7.804688 101.199219-21.816406zm0 0" fill="#61b6ff"/><path d="m240.140625 441.445312-37.71875 65.332032c-.257813.445312-.546875.875-.839844 1.289062 14.25 2.578125 28.925781 3.933594 43.917969 3.933594 14.671875 0 29.042969-1.292969 43.003906-3.765625zm0 0" fill="#5294e5"/><path d="m224.722656 373.308594c-3.332031 2.378906-7.75 2.589844-11.296875.542968l-20.394531-11.773437-20.390625-11.777344c-3.550781-2.046875-5.574219-5.976562-5.179687-10.054687l-22.078126 7.03125c-4.175781 1.328125-7.707031 4.171875-9.898437 7.96875l-33.339844 57.75c-2.0625 3.570312-2.804687 7.75-2.101562 11.8125l3.210937 18.472656c.703125 4.058594-.039062 8.238281-2.097656 11.808594l-3.984375 6.902344c17.480469 13.316406 36.800781 24.339843 57.519531 32.613281l3.726563-6.453125c2.0625-3.570313 5.3125-6.304688 9.179687-7.722656l17.601563-6.457032c3.871093-1.421875 7.121093-4.152344 9.179687-7.722656l33.34375-57.753906c2.191406-3.792969 2.886719-8.273438 1.949219-12.554688zm0 0" fill="#9d4ad3"/><path d="m229.671875 395.941406-4.949219-22.632812c-3.332031 2.378906-7.75 2.589844-11.296875.542968l-19.285156-11.136718 2.625 12.015625c1.011719 4.617187.261719 9.445312-2.105469 13.539062l-35.957031 62.277344c-2.21875 3.851563-5.722656 6.796875-9.894531 8.328125l-18.984375 6.964844c-4.171875 1.53125-7.675781 4.476562-9.898438 8.328125l-1.378906 2.390625c11.464844 6.960937 23.542969 13.019531 36.144531 18.046875l3.726563-6.453125c2.0625-3.570313 5.308593-6.304688 9.179687-7.722656l17.601563-6.457032c3.871093-1.421875 7.117187-4.152344 9.179687-7.722656l33.339844-57.75c2.195312-3.796875 2.890625-8.277344 1.953125-12.558594zm0 0" fill="#8634c6"/><path d="m317.140625 371.476562.003906-.277343c.035157-2.539063-.558593-5.035157-1.632812-7.335938-18.183594-38.847656 15.054687-65.230469 15.054687-65.230469l-52.480468-3.3125-8.585938 42.390626c-.371094 1.820312-1.242188 3.484374-2.496094 4.820312zm0 0" fill="#61b6ff"/><path d="m221.824219 375 4.699219 21.496094c.886718 4.066406.226562 8.316406-1.855469 11.921875l-31.660157 54.839843c-1.957031 3.390626-5.042968 5.988282-8.71875 7.335938l-16.714843 6.128906c-3.671875 1.351563-6.757813 3.945313-8.714844 7.332032l-5.722656 9.917968c16.132812 6.570313 33.117187 11.472656 50.75 14.492188.132812-.207032.265625-.40625.386719-.621094l38.625-66.898438c1.976562-3.421874 5.097656-6.03125 8.8125-7.367187l38.328124-13.800781c3.714844-1.335938 6.835938-3.945313 8.8125-7.367188l13.429688-23.265625c3.105469-5.375 4.777344-11.457031 4.859375-17.667969l-50.679687-29.257812zm0 0" fill="#b9e9fd"/><path d="m204.273438 507.84375 37.242187-64.5c-18.238281 3.769531-24.011719-4.96875-25.820313-11.546875-.4375-1.59375-1.09375-3.097656-1.933593-4.484375l-20.753907 35.945312c-1.957031 3.390626-5.042968 5.984376-8.71875 7.332032l-16.714843 6.132812c-3.671875 1.347656-6.757813 3.945313-8.714844 7.332032l-5.722656 9.917968c16.132812 6.570313 33.117187 11.472656 50.75 14.492188.128906-.207032.265625-.410156.386719-.621094zm0 0" fill="#83d3fc"/><path d="m109.964844 272.339844-13.429688 23.265625c-1.976562 3.417969-2.675781 7.425781-1.976562 11.3125l7.214844 40.09375c.699218 3.886719 0 7.894531-1.976563 11.3125l-38.625 66.902343c-.378906.660157-.707031 1.339844-.992187 2.03125 11.457031 13.238282 24.308593 25.230469 38.324218 35.753907l5.976563-10.351563c1.957031-3.386718 2.664062-7.359375 1.992187-11.214844l-3.046875-17.539062c-.671875-3.855469.035157-7.824219 1.992188-11.214844l31.664062-54.84375c2.078125-3.605468 5.433594-6.300781 9.398438-7.566406l20.964843-6.675781 6.070313-55.050781-50.679687-29.257813c-5.335938 3.175781-9.765626 7.664063-12.871094 13.042969zm0 0" fill="#61b6ff"/><path d="m98.503906 463.015625 5.976563-10.351563c1.957031-3.390624 2.664062-7.359374 1.992187-11.214843l-3.046875-17.542969c-.667969-3.855469.035157-7.824219 1.992188-11.214844l20.125-34.855468c-1.496094-.179688-3.019531-.171876-4.53125.050781-23.8125 3.535156-22.597657-17.164063-22.597657-17.164063l-37.238281 64.503906c-.382812.660157-.710937 1.339844-.992187 2.03125 11.453125 13.238282 24.304687 25.230469 38.320312 35.757813zm0 0" fill="#5294e5"/><path d="m378.222656 132.75c6.886719-23.96875 7.441406-49.316406 1.605469-73.566406l-2.007813-8.355469c-.816406-3.382813-4.296874-5.394531-7.632812-4.40625l-8.242188 2.4375c-23.917968 7.074219-45.589843 20.226563-62.90625 38.175781l-119.832031 124.210938 29.113281 43.796875 46.128907-40.742188c3.195312-2.820312 7.839843-3.289062 11.535156-1.15625l19.550781 11.289063c3.695313 2.132812 5.613282 6.386718 4.765625 10.566406l-12.21875 60.320312 52.484375 3.3125zm0 0" fill="#9d4ad3"/><path d="m317.335938 238.269531c-1.75-2.355469-4.808594-3.339843-7.601563-2.445312-13.1875 4.234375-19.5-5.066407-19.507813-5.078125.320313 1.367187.363282 2.8125.074219 4.253906l-12.21875 60.320312 52.484375 3.3125 16.347656-56.902343c-17.90625 6.933593-26.078124 1.257812-29.578124-3.460938zm0 0" fill="#8634c6"/><path d="m179.207031 211.246094 29.113281 43.796875 46.128907-40.742188c1.101562-.96875 2.375-1.65625 3.722656-2.058593h-.003906c-11.519531-3.289063-14.578125-10.046876-15.199219-14.867188-.390625-3.035156-2.703125-5.410156-5.710938-5.976562-18.425781-3.476563-16.523437-23.191407-16.523437-23.191407zm0 0" fill="#8634c6"/><path d="m123.074219 259.152344-.238281.144531 50.136718 28.945313c.53125-1.753907 1.535156-3.339844 2.929688-4.570313l32.417968-28.632813-29.113281-43.792968s-6.226562 41.976562-48.960937 45.652344c-2.53125.21875-4.988282.957031-7.171875 2.253906zm0 0" fill="#5294e5"/><path d="m393.71875 414.445312c-7.277344-4.203124-16.589844-1.707031-20.792969 5.574219l-23.53125 40.753907c5.261719-3.035157 11.949219-3.273438 17.589844-.015626 5.191406 2.996094 8.257813 8.246094 8.710937 13.800782.46875-.292969.9375-.578125 1.402344-.871094l22.195313-38.445312c4.203125-7.28125 1.710937-16.59375-5.574219-20.796876zm0 0" fill="#b26cde"/><path d="m358.171875 129.253906c11.214844-27.070312 17.957031-54.035156 19.648437-78.425781-.8125-3.382813-4.292968-5.394531-7.628906-4.40625-20.28125 13.660156-40.265625 32.984375-58.097656 56.226563l-109.875 143.214843 6.101562 9.175781 46.128907-40.738281c3.199219-2.824219 7.839843-3.289062 11.535156-1.15625l19.550781 11.289063c3.695313 2.132812 5.613282 6.386718 4.765625 10.566406l-12.214843 60.320312 11 .691407zm0 0" fill="#b26cde"/><path d="m323.582031 212.742188-19.042969-39.335938c-.710937-1.46875-2.242187-2.351562-3.867187-2.234375l-43.589844 3.175781-54.863281 71.511719 6.101562 9.179687 46.128907-40.738281c3.199219-2.824219 7.839843-3.289062 11.535156-1.15625l19.550781 11.289063c3.695313 2.132812 5.613282 6.386718 4.765625 10.566406l-12.214843 60.320312 11 .691407zm0 0" fill="#83d3fc"/><g fill="#61b6ff"><path d="m254.449219 214.300781c1.101562-.972656 2.375-1.65625 3.722656-2.058593h-.003906c-11.519531-3.289063-14.578125-10.046876-15.199219-14.867188-.148438-1.140625-.566406-2.1875-1.1875-3.078125l-39.5625 51.566406 6.101562 9.179688zm0 0"/><path d="m290.226562 230.75c.324219 1.367188.367188 2.8125.074219 4.25l-12.214843 60.320312 11 .691407 24.921874-60.148438c-1.355468-.457031-2.847656-.496093-4.273437-.039062-13.1875 4.234375-19.503906-5.070313-19.507813-5.074219zm0 0"/><path d="m338.011719 177.917969c-8.523438-17.597657-16.300781-33.667969-15.945313-32.933594-1.019531-2.101563-3.214844-3.371094-5.542968-3.199219-20.273438 1.476563-29.695313 2.164063-36.496094 2.65625l-24.371094 31.769532 44.15625-3.214844c1.503906-.113282 2.921875.707031 3.578125 2.0625l19.296875 39.851562zm0 0"/></g><path d="m269.5 337.710938 20.800781-102.710938c.847657-4.179688-1.070312-8.433594-4.765625-10.566406l-19.550781-11.289063c-3.695313-2.132812-8.335937-1.667969-11.535156 1.15625l-78.546875 69.371094c-1.886719 1.664063-3.070313 3.984375-3.308594 6.488281l-5.148438 53.445313c-.375 3.871093 1.546876 7.601562 4.917969 9.546875l38.730469 22.363281c3.367188 1.945313 7.5625 1.742187 10.730469-.515625l43.710937-31.179688c2.046875-1.460937 3.464844-3.644531 3.964844-6.109374zm0 0" fill="#eec707"/><path d="m269.5 337.710938 20.800781-102.710938c.292969-1.441406.25-2.886719-.074219-4.25l-64.925781 119.359375-8.082031 26.644531c1.625-.191406 3.214844-.761718 4.605469-1.753906l6.257812-4.464844 37.453125-26.714844c2.046875-1.460937 3.464844-3.644531 3.964844-6.109374zm0 0" fill="#f9ecc6"/><path d="m187.261719 328.148438 70.90625-115.90625c-1.339844.398437-2.613281 1.085937-3.714844 2.054687l-78.550781 69.375c-1.886719 1.664063-3.070313 3.984375-3.3125 6.488281l-4.410156 45.792969-.734376 7.652344c-.164062 1.699219.136719 3.359375.785157 4.863281zm0 0" fill="#fc9949"/><path d="m168.230469 348.46875c.828125 1.929688 2.242187 3.59375 4.132812 4.6875l38.730469 22.359375c1.894531 1.09375 4.039062 1.484375 6.125 1.238281l8.082031-26.640625-38.039062-21.964843zm0 0" fill="#fbb362"/><path d="m344.03125 465.34375-19.390625 33.585938c18.488281-6.308594 35.980469-14.765626 52.183594-25.074219-.101563-5.972657-3.222657-11.746094-8.773438-14.949219-8.410156-4.855469-19.164062-1.972656-24.019531 6.4375zm0 0" fill="#9d4ad3"/><path d="m407.429688 390.703125c-5.109376-2.953125-6.859376-9.484375-3.910157-14.597656l7.121094-12.332031c2.949219-5.109376 9.484375-6.859376 14.59375-3.910157s6.859375 9.484375 3.910156 14.59375l-7.121093 12.335938c-2.949219 5.109375-9.484376 6.859375-14.59375 3.910156zm0 0" fill="#fadda0"/><path d="m415.03125 377.535156c-4.304688-2.488281-6.339844-7.382812-5.40625-12l-6.105469 10.574219c-2.949219 5.109375-1.199219 11.644531 3.910157 14.59375 5.109374 2.949219 11.644531 1.199219 14.59375-3.910156l6.105468-10.574219c-3.53125 3.117188-8.789062 3.800781-13.097656 1.316406zm0 0" fill="#fbb362"/><path d="m57.144531 189.441406c-5.109375-2.949218-6.859375-9.484375-3.910156-14.59375l7.121094-12.332031c2.949219-5.109375 9.484375-6.863281 14.59375-3.910156 5.109375 2.949219 6.859375 9.484375 3.910156 14.59375l-7.121094 12.332031c-2.949219 5.109375-9.484375 6.863281-14.59375 3.910156zm0 0" fill="#fadda0"/><path d="m64.746094 176.277344c-4.304688-2.488282-6.339844-7.382813-5.40625-12l-6.105469 10.570312c-2.949219 5.109375-1.199219 11.644532 3.910156 14.597656 5.109375 2.949219 11.644531 1.195313 14.59375-3.910156l6.105469-10.574218c-3.53125 3.117187-8.792969 3.800781-13.097656 1.316406zm0 0" fill="#fbb362"/></svg>
\ No newline at end of file
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/Space/042-space shuttle.svg b/src/backend/base/langflow/initial_setup/profile_pictures/Space/042-space shuttle.svg
new file mode 100644
index 00000000000..03a58940998
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/Space/042-space shuttle.svg	
@@ -0,0 +1 @@
+<svg height="512pt" viewBox="-11 0 512 512" width="512pt" xmlns="http://www.w3.org/2000/svg"><path d="m245 22c-135.308594 0-245 109.6875-245 245 0 55.285156 18.316406 106.285156 49.210938 147.28125l32.929687 35.734375c14.414063 12.832031 30.347656 23.992187 47.503906 33.167969h230.710938c3.167969-1.695313 6.289062-3.460938 9.371093-5.289063l48.464844-37.628906c44.359375-44.335937 71.808594-105.589844 71.808594-173.265625 0-135.3125-109.691406-245-245-245zm0 0" fill="#162680"/><path d="m346.117188 289.761719h23.417968v33.757812h-23.417968zm0 0" fill="#b26cde"/><path d="m260.273438 323.519531h-23.414063v-33.757812h23.414063zm0 0" fill="#b26cde"/><path d="m346.117188 306.640625h23.417968v16.878906h-23.417968zm0 0" fill="#9d4ad3"/><path d="m260.273438 323.519531h-23.414063v-16.878906h23.414063zm0 0" fill="#9d4ad3"/><path d="m346.117188 227.261719h23.417968v33.761719h-23.417968zm0 0" fill="#b26cde"/><path d="m260.273438 261.023438h-23.414063v-33.757813h23.414063zm0 0" fill="#b26cde"/><path d="m346.117188 244.144531h23.417968v16.878907h-23.417968zm0 0" fill="#9d4ad3"/><path d="m260.273438 261.023438h-23.414063v-16.878907h23.414063zm0 0" fill="#9d4ad3"/><path d="m138.722656 197.160156-81.863281-52.617187c-3.703125-2.378907-4.773437-7.308594-2.394531-11.011719 2.378906-3.699219 7.304687-4.769531 11.007812-2.390625l81.863282 52.617187c3.699218 2.378907 4.773437 7.308594 2.394531 11.007813-2.382813 3.707031-7.316407 4.769531-11.007813 2.394531zm0 0" fill="#61b6ff"/><path d="m138.722656 250.117188-81.863281-52.613282c-3.703125-2.382812-4.773437-7.308594-2.394531-11.011718 2.378906-3.699219 7.308594-4.773438 11.007812-2.394532l81.863282 52.617188c3.699218 2.378906 4.773437 7.308594 2.394531 11.011718-2.382813 3.703126-7.3125 4.765626-11.007813 2.390626zm0 0" fill="#61b6ff"/><path d="m138.722656 302.207031-81.863281-52.617187c-3.703125-2.378906-4.773437-7.308594-2.394531-11.007813 2.378906-3.703125 7.308594-4.777343 11.007812-2.394531l81.863282 52.617188c3.699218 2.378906 4.773437 7.304687 2.394531 11.007812-2.382813 3.707031-7.3125 4.769531-11.007813 2.394531zm0 0" fill="#61b6ff"/><path d="m138.722656 355.164062-81.863281-52.617187c-3.703125-2.378906-4.773437-7.308594-2.394531-11.011719 2.378906-3.699218 7.308594-4.769531 11.007812-2.390625l81.863282 52.617188c3.699218 2.378906 4.773437 7.304687 2.394531 11.007812-2.382813 3.707031-7.316407 4.769531-11.007813 2.394531zm0 0" fill="#61b6ff"/><path d="m143.023438 409.046875c-1.476563 0-2.96875-.410156-4.300782-1.265625l-81.863281-52.617188c-3.703125-2.378906-4.773437-7.308593-2.394531-11.007812 2.378906-3.703125 7.308594-4.773438 11.007812-2.394531l81.863282 52.617187c6.703124 4.3125 3.5625 14.667969-4.3125 14.667969zm0 0" fill="#61b6ff"/><path d="m138.722656 460.738281-81.863281-52.617187c-3.703125-2.378906-4.773437-7.304688-2.394531-11.007813s7.308594-4.769531 11.007812-2.394531l81.863282 52.617188c3.699218 2.378906 4.773437 7.308593 2.394531 11.007812-2.382813 3.707031-7.3125 4.769531-11.007813 2.394531zm0 0" fill="#61b6ff"/><path d="m300.40625 98.007812c2.324219-1.539062 5.367188-1.539062 7.695312 0 1.402344.929688 2.769532 1.960938 4.117188 3.058594v-39.949218c0-4.402344-3.566406-7.96875-7.964844-7.96875-4.398437 0-7.964844 3.566406-7.964844 7.96875v39.953124c1.34375-1.101562 2.714844-2.132812 4.117188-3.0625zm0 0" fill="#fc7acd"/><path d="m370.867188 180.761719h36.234374v26.921875h-36.234374zm0 0" fill="#b26cde"/><path d="m393.648438 145.898438c-1.917969-3.847657-7.410157-3.847657-9.328126 0l-13.453124 34.867187h36.234374zm0 0" fill="#b26cde"/><path d="m370.867188 180.761719h18.117187v26.921875h-18.117187zm0 0" fill="#9d4ad3"/><path d="m393.320312 145.347656c-2.144531-3.28125-7.179687-3.101562-9 .550782l-13.453124 34.867187h18.117187l4.234375-34.867187c.03125-.195313.066406-.375.101562-.550782zm0 0" fill="#9d4ad3"/><path d="m404.457031 188.730469h-30.945312c-4.398438 0-7.964844-3.566407-7.964844-7.964844 0-4.402344 3.566406-7.96875 7.964844-7.96875h30.945312c4.398438 0 7.964844 3.566406 7.964844 7.96875 0 4.398437-3.566406 7.964844-7.964844 7.964844zm0 0" fill="#c78fe8"/><path d="m382.09375 180.765625c0-4.402344 3.566406-7.96875 7.96875-7.96875h-16.550781c-4.398438 0-7.964844 3.566406-7.964844 7.96875 0 4.398437 3.566406 7.964844 7.964844 7.964844h16.550781c-4.402344 0-7.96875-3.566407-7.96875-7.964844zm0 0" fill="#b26cde"/><path d="m376.535156 380.039062c16.613282 10.34375 27.105469 23.539063 33.652344 35.085938v-203.972656c0-3.089844-2.503906-5.59375-5.59375-5.59375h-31.21875c-3.089844 0-5.59375 2.503906-5.59375 5.59375v162.742187c2.804688 2.1875 5.714844 4.25 8.753906 6.144531zm0 0" fill="#dcb1f3"/><path d="m388.984375 211.152344c0-3.089844 2.503906-5.59375 5.59375-5.59375h-21.203125c-3.089844 0-5.59375 2.503906-5.59375 5.59375v162.742187c2.804688 2.1875 5.714844 4.25 8.753906 6.140625 4.613282 2.871094 8.734375 5.96875 12.449219 9.179688zm0 0" fill="#c78fe8"/><path d="m199.292969 180.761719h36.230469v26.921875h-36.230469zm0 0" fill="#b26cde"/><path d="m222.070312 145.898438c-1.914062-3.847657-7.40625-3.847657-9.324218 0l-13.453125 34.867187h36.230469zm0 0" fill="#b26cde"/><path d="m199.292969 180.761719h18.117187v26.921875h-18.117187zm0 0" fill="#9d4ad3"/><path d="m221.746094 145.347656c-2.148438-3.28125-7.179688-3.101562-9 .550782l-13.453125 34.867187h18.113281l4.238281-34.867187c.03125-.195313.066407-.375.101563-.550782zm0 0" fill="#9d4ad3"/><path d="m232.882812 188.730469h-30.945312c-4.402344 0-7.964844-3.566407-7.964844-7.964844 0-4.402344 3.566406-7.96875 7.964844-7.96875h30.945312c4.398438 0 7.964844 3.566406 7.964844 7.96875 0 4.398437-3.566406 7.964844-7.964844 7.964844zm0 0" fill="#c78fe8"/><path d="m210.519531 180.765625c0-4.402344 3.566407-7.96875 7.964844-7.96875h-16.546875c-4.402344 0-7.964844 3.566406-7.964844 7.96875 0 4.398437 3.5625 7.964844 7.964844 7.964844h16.546875c-4.398437 0-7.964844-3.566407-7.964844-7.964844zm0 0" fill="#b26cde"/><path d="m229.855469 380.039062c-16.613281 10.34375-27.101563 23.539063-33.648438 35.085938v-203.972656c0-3.089844 2.503907-5.59375 5.59375-5.59375h31.21875c3.089844 0 5.59375 2.503906 5.59375 5.59375v162.742187c-2.804687 2.1875-5.71875 4.25-8.757812 6.144531zm0 0" fill="#dcb1f3"/><path d="m217.410156 211.152344c0-3.089844 2.503906-5.59375 5.59375-5.59375h-21.203125c-3.089843 0-5.59375 2.503906-5.59375 5.59375v203.972656c4.726563-8.34375 11.53125-17.539062 21.203125-25.90625zm0 0" fill="#c78fe8"/><path d="m273.28125 325.324219 4.84375-14.78125v-46.800781c.003906-.191407.335938-19.421876 5.875-37.289063 3.722656-12.007813 8.878906-20.589844 15.320312-25.503906 2.902344-2.21875 6.960938-2.21875 9.863282 0 7.558594 5.769531 13.511718 16.984375 17.21875 32.445312v.191407l.085937.167968c3.640625 15.40625 3.890625 29.847656 3.890625 29.96875v46.820313l4.84375 14.78125c3.347656 10.214843 8.296875 19.765625 14.5625 28.335937v-165.363281c0-30.90625-16.785156-75.90625-41.683594-92.410156-2.328124-1.542969-5.371093-1.542969-7.699218 0-24.898438 16.503906-41.683594 61.503906-41.683594 92.410156v165.367187c6.265625-8.574218 11.214844-18.121093 14.5625-28.339843zm0 0" fill="#f6159c"/><path d="m304.253906 188.296875c0-28.929687 3.386719-70.203125 8.523438-88.902344-1.523438-1.277343-3.082032-2.453125-4.675782-3.507812-2.328124-1.542969-5.371093-1.542969-7.699218 0-24.898438 16.503906-41.683594 61.503906-41.683594 92.410156v165.367187c6.265625-8.570312 11.214844-18.121093 14.5625-28.339843l4.84375-14.78125v-46.796875c.003906-.191406.335938-19.421875 5.875-37.289063 3.722656-12.007812 8.878906-20.589843 15.320312-25.507812 1.449219-1.105469 3.191407-1.664063 4.933594-1.660157zm0 0" fill="#c6237c"/><path d="m345.628906 166.367188h-82.75c-4.398437 0-7.964844-3.566407-7.964844-7.96875 0-4.398438 3.566407-7.964844 7.964844-7.964844h82.75c4.402344 0 7.96875 3.566406 7.96875 7.964844 0 4.402343-3.566406 7.96875-7.96875 7.96875zm0 0" fill="#fc7acd"/><path d="m297.746094 158.398438c0-4.398438 3.566406-7.964844 7.96875-7.964844h-42.835938c-4.398437 0-7.964844 3.566406-7.964844 7.964844 0 4.402343 3.566407 7.96875 7.964844 7.96875h42.835938c-4.402344 0-7.96875-3.566407-7.96875-7.96875zm0 0" fill="#f948b4"/><path d="m372.195312 453.625c-8.082031 0-14.632812 6.550781-14.632812 14.632812 0 5.335938 2.863281 9.988282 7.128906 12.546876 13.902344-7.800782 26.96875-16.914063 39.027344-27.179688zm0 0" fill="#83d3fc"/><path d="m400.714844 453.625h-28.519532c-8.082031 0-14.632812 6.550781-14.632812 14.632812 0 5.335938 2.863281 9.988282 7.128906 12.546876 7.394532-4.148438 14.546875-8.683594 21.441406-13.550782.519532-7.613281 6.839844-13.628906 14.582032-13.628906zm0 0" fill="#61b6ff"/><path d="m237.109375 453.625h-36.816406c-8.082031 0-14.632813 6.550781-14.632813 14.632812 0 8.082032 6.550782 14.632813 14.632813 14.632813h36.816406c8.082031 0 14.632813-6.550781 14.632813-14.632813 0-8.082031-6.550782-14.632812-14.632813-14.632812zm0 0" fill="#83d3fc"/><path d="m214.179688 468.257812c0-8.082031 6.550781-14.632812 14.632812-14.632812h-28.519531c-8.082031 0-14.632813 6.550781-14.632813 14.632812 0 8.082032 6.550782 14.632813 14.632813 14.632813h28.519531c-8.082031 0-14.632812-6.550781-14.632812-14.632813zm0 0" fill="#61b6ff"/><path d="m422.328125 436.058594c-6.851563-23.824219-22.28125-44.265625-43.332031-57.371094-19.96875-12.4375-34.929688-31.5-42.257813-53.859375l-5.960937-18.1875v147.675781h72.121094c6.800781-5.738281 13.292968-11.824218 19.429687-18.257812zm0 0" fill="#b9e9fd"/><path d="m349.785156 441.019531v-73.152343c0-4.296876 1.640625-8.222657 4.304688-11.214844-7.609375-9.398438-13.527344-20.15625-17.351563-31.824219l-5.960937-18.1875v147.675781h25.53125c-3.957032-3.101562-6.523438-7.910156-6.523438-13.296875zm0 0" fill="#83d3fc"/><path d="m277.726562 306.640625-5.960937 18.1875c-7.324219 22.355469-22.285156 41.421875-42.257813 53.859375-21.152343 13.167969-36.636718 33.75-43.4375 57.71875l-.320312 1.128906c-2.386719 8.417969 3.933594 16.78125 12.679688 16.78125h79.296874zm0 0" fill="#b9e9fd"/><path d="m271.765625 324.828125c-3.824219 11.671875-9.746094 22.433594-17.359375 31.835937 2.660156 2.988282 4.296875 6.910157 4.296875 11.203126v73.152343c0 5.386719-2.566406 10.195313-6.523437 13.296875h25.53125v-147.621094zm0 0" fill="#83d3fc"/><path d="m422.335938 436.050781-.03125-.109375c-6.785157-23.921875-22.464844-44.199218-43.539063-57.402344-4.625-2.898437-8.980469-6.15625-13.03125-9.726562v15.53125c0 2.5625 1.320313 4.941406 3.492187 6.296875 17.808594 11.089844 30.847657 28.414063 36.574219 48.597656l2.855469 10.070313c4.726562-4.246094 9.292969-8.660156 13.679688-13.257813zm0 0" fill="#61b6ff"/><path d="m186.203125 435.945312c6.785156-23.925781 22.464844-44.203124 43.539063-57.40625 4.625-2.894531 8.976562-6.15625 13.03125-9.726562v15.574219c0 2.535156-1.308594 4.890625-3.460938 6.234375l-.035156.023437c-17.808594 11.085938-30.847656 28.414063-36.570313 48.59375l-4.277343 15.078125c-8.746094 0-15.066407-8.363281-12.679688-16.777344zm0 0" fill="#61b6ff"/><path d="m310.152344 199.683594c-3.507813-2.679688-8.289063-2.679688-11.796875 0-21.148438 16.136718-21.824219 64.039062-21.824219 64.039062v187.941406c0 3.457032 2.804688 6.261719 6.265625 6.261719h42.917969c3.457031 0 6.257812-2.800781 6.257812-6.261719v-187.941406s-.675781-47.902344-21.820312-64.039062zm0 0" fill="#d0f6fa"/><path d="m325.710938 405.660156h-42.917969c-3.457031 0-6.261719-2.800781-6.261719-6.261718v52.265624c0 3.457032 2.804688 6.261719 6.261719 6.261719h42.917969c3.460937 0 6.261718-2.804687 6.261718-6.261719v-52.265624c0 3.460937-2.800781 6.261718-6.261718 6.261718zm0 0" fill="#b9e9fd"/><path d="m296.878906 222.101562c4.363282-1.59375 10.386719-1.59375 14.75 0 7.179688 2.621094 12.46875 6.640626 16.367188 11.105469-3.042969-12.78125-8.402344-26.320312-17.84375-33.527343-3.492188-2.664063-8.308594-2.664063-11.796875 0-9.445313 7.207031-14.800781 20.746093-17.84375 33.527343 3.898437-4.464843 9.1875-8.484375 16.367187-11.105469zm0 0" fill="#fbb362"/><path d="m300.296875 214.039062c.546875-5.847656 1.824219-11.40625 4.070313-16.351562-2.117188-.023438-4.234376.636719-6.011719 1.996094-9.445313 7.207031-14.800781 20.746094-17.84375 33.523437 3.898437-4.464843 9.1875-8.484375 16.367187-11.105469 1.757813-.640624 3.789063-1.011718 5.867188-1.136718-1.6875-1.699219-2.714844-4.113282-2.449219-6.925782zm0 0" fill="#fd7e31"/><path d="m320.445312 250.734375c-.246093-.457031-.5-.910156-.757812-1.359375-1.757812-3.039062-4.410156-5.332031-8.058594-6.664062-3.804687-1.390626-10.4375-1.632813-15.199218.164062-3.210938 1.210938-5.894532 3.527344-7.609376 6.5-.257812.449219-.511718.898438-.761718 1.359375-3.027344 5.601563 2.566406 12.0625 8.53125 9.839844.09375-.035157.1875-.070313.28125-.105469 4.046875-1.476562 10.714844-1.476562 14.757812 0 .097656.035156.191406.070312.285156.105469 5.96875 2.222656 11.558594-4.238281 8.53125-9.839844zm0 0" fill="#3957c9"/><path d="m302.644531 248.222656c.308594-.570312.621094-1.132812.945313-1.6875 1.035156-1.796875 2.363281-3.398437 3.90625-4.75-3.539063-.421875-7.753906-.15625-11.066406 1.089844-3.210938 1.210938-5.894532 3.53125-7.609376 6.503906-.257812.445313-.511718.898438-.757812 1.355469-3.027344 5.605469 2.5625 12.0625 8.53125 9.839844.09375-.035157.1875-.070313.28125-.105469 2.277344-.832031 5.386719-1.195312 8.390625-1.089844-3.269531-2.378906-4.890625-6.957031-2.621094-11.15625zm0 0" fill="#1d319b"/><path d="m304.253906 470.773438c-4.488281 0-8.125-3.636719-8.125-8.125v-121.316407c0-4.488281 3.636719-8.125 8.125-8.125 4.484375 0 8.125 3.636719 8.125 8.125v121.316407c0 4.488281-3.640625 8.125-8.125 8.125zm0 0" fill="#b9e9fd"/><path d="m304.253906 358.542969c-4.488281 0-8.125-3.636719-8.125-8.121094v112.226563c0 4.488281 3.636719 8.125 8.125 8.125 4.484375 0 8.125-3.636719 8.125-8.125v-112.226563c0 4.484375-3.640625 8.121094-8.125 8.121094zm0 0" fill="#83d3fc"/><path d="m304.253906 370.671875c-4.488281 0-8.125 3.636719-8.125 8.125v83.851563c0 4.488281 3.636719 8.125 8.125 8.125 4.484375 0 8.125-3.636719 8.125-8.125v-83.851563c0-4.488281-3.640625-8.125-8.125-8.125zm0 0" fill="#61b6ff"/><path d="m304.253906 412.335938c-4.488281 0-8.125-3.640626-8.125-8.125v58.4375c0 4.488281 3.636719 8.125 8.125 8.125 4.484375 0 8.125-3.636719 8.125-8.125v-58.4375c0 4.484374-3.640625 8.125-8.125 8.125zm0 0" fill="#5294e5"/><path d="m337.78125 391.566406c-2.464844-3.652344-7.414062-4.609375-11.0625-2.148437-3.644531 2.460937-4.605469 7.414062-2.144531 11.058593l50.183593 74.359376c4.507813-2.820313 8.921876-5.78125 13.226563-8.882813zm0 0" fill="#5294e5"/><path d="m353.011719 428.394531c2.824219-1.90625 6.308593-2.039062 9.171875-.667969l-24.402344-36.160156c-2.464844-3.652344-7.414062-4.609375-11.0625-2.148437-3.644531 2.460937-4.605469 7.414062-2.144531 11.058593l24.386719 36.136719c-.183594-3.152343 1.242187-6.324219 4.050781-8.21875zm0 0" fill="#4374d3"/><path d="m214.246094 489.496094c-3.648438-2.460938-4.609375-7.414063-2.148438-11.058594l58.628906-86.871094c2.460938-3.648437 7.414063-4.609375 11.058594-2.148437 3.648438 2.460937 4.609375 7.414062 2.148438 11.058593l-58.628906 86.871094c-2.453126 3.636719-7.402344 4.617188-11.058594 2.148438zm0 0" fill="#5294e5"/><path d="m255.492188 428.394531c-2.820313-1.90625-6.308594-2.039062-9.171876-.667969l24.40625-36.160156c2.460938-3.652344 7.410157-4.609375 11.058594-2.148437 3.648438 2.460937 4.609375 7.414062 2.148438 11.058593l-24.390625 36.136719c.1875-3.152343-1.238281-6.324219-4.050781-8.21875zm0 0" fill="#4374d3"/><path d="m49.175781 414.242188c9.046875 12.015624 19.175781 23.167968 30.238281 33.320312v-325.25c-10.375 0-20.492187 0-30.238281 0zm0 0" fill="#83d3fc"/><path d="m124.777344 480.507812c4.109375 2.316407 8.289062 4.519532 12.539062 6.605469h17.703125v-364.800781c-10.179687 0-20.277343 0-30.242187 0zm0 0" fill="#83d3fc"/><path d="m49.175781 122.3125v106.070312c0-8.351562 6.769531-15.121093 15.121094-15.121093 8.347656 0 15.117187 6.769531 15.117187 15.121093v-106.070312c-10.375 0-20.492187 0-30.238281 0zm0 0" fill="#61b6ff"/><path d="m124.777344 122.3125v106.070312c0-8.351562 6.773437-15.121093 15.121094-15.121093 8.351562 0 15.121093 6.769531 15.121093 15.121093v-106.070312c-10.179687 0-20.277343 0-30.242187 0zm0 0" fill="#61b6ff"/><g fill="#b9e9fd"><path d="m61.171875 198.425781c-2.617187 0-5.183594-1.289062-6.707031-3.660156-2.378906-3.703125-1.308594-8.628906 2.394531-11.007813l81.863281-52.621093c3.699219-2.375 8.628906-1.304688 11.007813 2.394531 2.378906 3.703125 1.304687 8.628906-2.394531 11.011719l-81.863282 52.617187c-1.332031.855469-2.824218 1.265625-4.300781 1.265625zm0 0"/><path d="m61.171875 251.382812c-2.617187 0-5.183594-1.289062-6.707031-3.660156-2.378906-3.699218-1.308594-8.628906 2.394531-11.007812l81.863281-52.617188c3.699219-2.375 8.628906-1.308594 11.007813 2.394532 2.378906 3.703124 1.304687 8.628906-2.394531 11.007812l-81.863282 52.617188c-1.332031.859374-2.824218 1.265624-4.300781 1.265624zm0 0"/><path d="m61.171875 303.472656c-2.617187 0-5.183594-1.292968-6.707031-3.660156-2.378906-3.703125-1.308594-8.628906 2.394531-11.011719l81.863281-52.617187c3.699219-2.375 8.628906-1.304688 11.007813 2.394531 2.378906 3.703125 1.304687 8.632813-2.394531 11.011719l-81.863282 52.617187c-1.332031.855469-2.824218 1.265625-4.300781 1.265625zm0 0"/><path d="m61.171875 356.429688c-2.617187 0-5.183594-1.289063-6.707031-3.660157-2.378906-3.699219-1.308594-8.628906 2.394531-11.007812l81.863281-52.617188c3.699219-2.378906 8.628906-1.308593 11.007813 2.394531 2.378906 3.699219 1.304687 8.628907-2.394531 11.007813l-81.863282 52.617187c-1.332031.855469-2.824218 1.265626-4.300781 1.265626zm0 0"/><path d="m61.171875 409.046875c-2.617187 0-5.183594-1.289063-6.707031-3.660156-2.378906-3.699219-1.308594-8.628907 2.394531-11.007813l81.863281-52.617187c3.699219-2.378907 8.628906-1.308594 11.007813 2.394531 2.378906 3.703125 1.304687 8.628906-2.394531 11.007812l-81.863282 52.617188c-1.332031.855469-2.824218 1.265625-4.300781 1.265625zm0 0"/><path d="m138.722656 394.71875-68.453125 43.996094c3.832031 3.898437 7.792969 7.671875 11.878907 11.308594l65.1875-41.902344c3.699218-2.378906 4.773437-7.304688 2.394531-11.007813-2.378907-3.703125-7.308594-4.769531-11.007813-2.394531zm0 0"/><path d="m379.269531 78.261719c-25.5 0-219.207031 0-250.847656 0l-42.980469-49.738281c-1.46875-1.683594-3.671875-2.757813-6.027344-2.757813h-7.15625v-17.800781c0-4.398438-3.566406-7.964844-7.964843-7.964844-4.398438 0-7.964844 3.566406-7.964844 7.964844v17.800781h-7.15625c-4.398437 0-7.964844 3.566406-7.964844 7.964844v82.738281c0 4.402344 3.566407 7.96875 7.964844 7.96875h306.324219c4.398437 0 7.964844-3.566406 7.964844-7.96875v-22.273438h15.808593c4.398438 0 7.964844-3.566406 7.964844-7.964843.003906-4.402344-3.5625-7.96875-7.964844-7.96875zm-291.886719 0v-23.125l19.984376 23.125c-6.855469 0-12.992188 0-19.984376 0zm-30.242187 0v-36.5625h14.308594v36.5625zm0 15.933593h35.121094v14.308594h-35.121094zm51.054687 0h35.121094v14.308594h-35.121094zm51.050782 0h35.121094v14.308594h-35.121094zm51.054687 0h35.121094v14.308594h-35.121094zm51.054688 0h35.121093v14.308594h-35.121093zm86.175781 14.308594h-35.121094v-14.308594h35.121094zm0 0"/></g><path d="m331.175781 438.8125c-4.398437 0-7.964843-3.566406-7.964843-7.964844v-50.367187c0-4.402344 3.566406-7.96875 7.964843-7.96875 4.402344 0 7.96875 3.566406 7.96875 7.96875v50.367187c0 4.398438-3.570312 7.964844-7.96875 7.964844zm0 0" fill="#fbb362"/><path d="m277.328125 438.8125c-4.398437 0-7.964844-3.566406-7.964844-7.964844v-50.367187c0-4.402344 3.566407-7.96875 7.964844-7.96875s7.96875 3.566406 7.96875 7.96875v50.367187c0 4.398438-3.566406 7.964844-7.96875 7.964844zm0 0" fill="#fbb362"/><path d="m331.175781 411.058594c-4.398437 0-7.964843-3.566406-7.964843-7.964844v27.753906c0 4.398438 3.566406 7.964844 7.964843 7.964844 4.402344 0 7.96875-3.566406 7.96875-7.964844v-27.753906c0 4.398438-3.570312 7.964844-7.96875 7.964844zm0 0" fill="#fd7e31"/><path d="m277.328125 411.058594c-4.398437 0-7.964844-3.566406-7.964844-7.964844v27.753906c0 4.398438 3.566407 7.964844 7.964844 7.964844 4.402344 0 7.96875-3.566406 7.96875-7.964844v-27.753906c0 4.398438-3.566406 7.964844-7.96875 7.964844zm0 0" fill="#fd7e31"/><path d="m127.777344 482.183594c34.820312 19.007812 74.757812 29.816406 117.222656 29.816406s82.402344-10.808594 117.222656-29.816406zm0 0" fill="#b9e9fd"/><path d="m228.996094 482.183594h-101.21875c30.191406 16.480468 64.234375 26.792968 100.433594 29.246094-12.429688-5.230469-11.898438-24.59375.785156-29.246094zm0 0" fill="#61b6ff"/><path d="m387.238281 86.226562c0-4.398437-3.578125-7.964843-7.988281-7.964843-5.714844 0-19.867188 0-38.742188 0-4.410156 0-7.988281 3.566406-7.988281 7.964843 0 4.402344 3.578125 7.96875 7.988281 7.96875h38.746094c4.40625 0 7.984375-3.566406 7.984375-7.96875zm0 0" fill="#e0f9fe"/><path d="m187.6875 108.503906h-28.441406v-14.308594h28.441406c-4.398438 0-7.964844-3.566406-7.964844-7.96875 0-4.398437 3.566406-7.964843 7.964844-7.964843h-59.265625l-42.980469-49.738281c-1.464844-1.683594-3.671875-2.757813-6.027344-2.757813h-7.152343v-17.800781c0-4.398438-3.566407-7.964844-7.964844-7.964844-4.402344 0-7.96875 3.566406-7.96875 7.964844v17.800781h-7.152344c-4.402343 0-7.96875 3.566406-7.96875 7.964844v82.738281c0 4.402344 3.566407 7.96875 7.96875 7.96875h138.507813c-4.398438-.003906-7.960938-3.570312-7.960938-7.96875s3.566406-7.964844 7.964844-7.964844zm-130.546875-66.804687h14.308594v36.5625h-14.308594zm35.121094 66.804687h-35.121094v-14.308594h35.121094zm-4.878907-30.242187v-23.125l19.984376 23.125c-6.855469 0-12.992188 0-19.984376 0zm55.933594 30.242187h-35.125v-14.308594h35.125zm0 0" fill="#83d3fc"/><path d="m410.015625 409.097656c-7.996094-12.222656-18.648437-22.660156-31.25-30.558594-4.628906-2.898437-8.980469-6.15625-13.03125-9.726562v15.53125c0 2.558594 1.320313 4.941406 3.492187 6.296875 10.9375 6.8125 20.066407 15.980469 26.816407 26.714844-1.167969-7.882813 7.816406-12.960938 13.972656-8.257813zm0 0" fill="#5294e5"/><path d="m198.472656 409.097656c7.996094-12.222656 18.648438-22.660156 31.25-30.558594 4.628906-2.898437 8.980469-6.15625 13.03125-9.726562v15.53125c0 2.558594-1.320312 4.941406-3.492187 6.296875-10.9375 6.8125-20.066407 15.980469-26.816407 26.714844 1.167969-7.882813-7.816406-12.960938-13.972656-8.257813zm0 0" fill="#5294e5"/></svg>
\ No newline at end of file
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/Space/043-space shuttle.svg b/src/backend/base/langflow/initial_setup/profile_pictures/Space/043-space shuttle.svg
new file mode 100644
index 00000000000..841d226f3cc
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/Space/043-space shuttle.svg	
@@ -0,0 +1 @@
+<svg height="511pt" viewBox="-10 0 511 511.9997" width="511pt" xmlns="http://www.w3.org/2000/svg"><path d="m245.5 22c-135.308594 0-245 109.691406-245 245 0 .335938.011719.671875.011719 1.007812l369.3125 210.128907c72.21875-42.617188 120.675781-121.210938 120.675781-211.136719 0-135.308594-109.691406-245-245-245zm0 0" fill="#f6159c"/><path d="m320.113281 407.480469c-2.433593-4.574219-2.339843-10.078125.25-14.566407l14.644531-25.367187c-12.390624-34.914063-15.042968-72.757813-7.351562-109.394531l7.949219-37.882813-149.320313 258.628907 57.292969 33.078124c.640625.003907 1.277344.023438 1.921875.023438 33.542969 0 65.507812-6.75 94.621094-18.949219.910156-29.574219-5.875-59.097656-20.007813-85.570312zm0 0" fill="#83d3fc"/><path d="m327.65625 258.152344 7.949219-37.882813-149.320313 258.628907 35.507813 20.5c22.167969-44.578126 53.359375-107.328126 63.902343-128.730469 17-34.5 43.558594-22.289063 43.558594-22.289063h.007813c-7.257813-29.371094-7.90625-60.203125-1.605469-90.226562zm0 0" fill="#61b6ff"/><path d="m370.683594 477.628906c-1.917969-28.738281-10-57.007812-23.738282-82.917968-5.171874-9.753907-9.5-19.863282-12.988281-30.210938l-15.703125 27.199219c-2.589844 4.484375-2.683594 9.992187-.25 14.5625 14.46875 27.101562 21.238282 57.402343 19.9375 87.679687 11.367188-4.632812 22.304688-10.097656 32.742188-16.3125zm0 0" fill="#1d319b"/><path d="m115.449219 240.785156-14.6875 25.441406c-2.5625 4.441407-7.234375 7.246094-12.359375 7.421876l-.085938.003906c-30.582031 1.019531-60.097656 10.230468-85.59375 26.375 4.433594 32.882812 15.386719 63.6875 31.515625 91.085937l59.140625 34.144531 149.320313-258.628906-28.832031 25.828125c-27.882813 24.976563-61.984376 41.601563-98.417969 48.328125zm0 0" fill="#83d3fc"/><path d="m64.203125 408.414062 29.175781 16.84375 149.320313-258.628906-28.832031 25.828125c-24.367188 21.828125-53.484376 37.277344-84.757813 45.316407 0 0 20 20.707031 3.792969 49.800781-11.074219 19.882812-47.035156 82.914062-68.699219 120.839843zm0 0" fill="#61b6ff"/><path d="m.515625 265.800781c-.003906.398438-.015625.796875-.015625 1.199219 0 12.023438.882812 23.835938 2.554688 35.394531 25.898437-16.855469 56.074218-26.484375 87.371093-27.527343l.082031-.003907c5.125-.175781 9.800782-2.980469 12.363282-7.421875l15.746094-27.269531c-10.707032 2.152344-21.625 3.460937-32.660157 3.859375-29.976562 1.082031-59.132812 8.511719-85.441406 21.769531zm0 0" fill="#1d319b"/><path d="m405.945312 85.539062c-2.425781-11.402343-7.59375-23.351562-17.179687-34.796874-6.03125-7.199219-16.578125-13.289063-25.828125-14.914063-14.707031-2.578125-27.636719-1.078125-38.726562 2.523437-23.929688 24.613282-40.210938 51.90625-40.210938 51.90625l-196.363281 340.113282 97.09375 56.058594 196.367187-340.117188s15.496094-27.742188 24.847656-60.773438zm0 0" fill="#d0f6fa"/><path d="m361.71875 37.9375c9.25 1.625 19.796875 7.714844 25.828125 14.914062 9.925781 11.84375 15.121094 24.234376 17.433594 36 7.597656-25.457031 11.902343-54.585937 2.652343-76.757812-3.417968-8.195312-11.855468-13.066406-20.664062-11.929688-23.824219 3.074219-46.898438 21.367188-65.144531 40.671876 11.34375-3.875 24.671875-5.570313 39.894531-2.898438zm0 0" fill="#fbb362"/><path d="m374.039062 111.910156c.027344-1.050781.042969-2.101562.042969-3.144531 0-7.101563-2.328125-13.796875-7.367187-19.824219-5.257813-6.273437-16.628906-13.40625-26.789063-15.078125-6.847656-1.125-13.890625.222657-19.898437 3.691407-.90625.523437-1.804688 1.058593-2.703125 1.613281-10.96875 6.75-7.707031 23.71875 4.992187 25.855469.199219.035156.398438.070312.597656.105468 8.578126 1.503906 20.253907 8.242188 25.84375 14.917969.132813.15625.261719.3125.390626.472656 8.203124 9.925781 24.527343 4.265625 24.890624-8.609375zm0 0" fill="#3957c9"/><path d="m347.222656 90.410156c1.0625-.652344 2.128906-1.289062 3.203125-1.90625 3.5625-2.058594 7.433594-3.484375 11.429688-4.230468-5.898438-4.769532-14.257813-9.148438-21.929688-10.410157-6.847656-1.121093-13.890625.222657-19.902343 3.691407-.902344.523437-1.804688 1.058593-2.703126 1.613281-10.964843 6.75-7.707031 23.71875 4.992188 25.855469.203125.035156.402344.070312.601562.105468 6 1.050782 13.511719 4.667969 19.402344 9.035156-4.957031-7.300781-3.917968-18.320312 4.90625-23.753906zm0 0" fill="#1d319b"/><path d="m87.625 430.375 82.445312-142.792969 97.09375 56.058594-82.445312 142.792969zm0 0" fill="#b9e9fd"/><path d="m78.480469 446.226562c27.339843 25.488282 60.515625 44.792969 97.304687 55.691407l11.539063-19.980469-97.09375-56.058594zm0 0" fill="#83d3fc"/><path d="m245.207031 419.613281c-20.707031 11.078125-41.152343 25.828125-60.484375 43.796875l68.449219 39.519532c5.894531-25.726563 8.445313-50.808594 7.6875-74.28125-.269531-8.300782-8.328125-12.953126-15.652344-9.035157zm0 0" fill="#fbb362"/><path d="m164.578125 498.300781c25.332031 8.863281 52.5625 13.699219 80.921875 13.699219.820312 0 1.632812-.023438 2.453125-.03125l5.21875-9.042969-68.449219-39.519531zm0 0" fill="#fadda0"/><path d="m216.539062 481.777344-31.816406-18.371094-20.144531 34.894531c11.878906 4.15625 24.179687 7.414063 36.8125 9.714844zm0 0" fill="#fbb362"/><path d="m253.09375 255.90625c-4.367188-2.519531-5.863281-8.101562-3.34375-12.46875l62.472656-108.199219c2.519532-4.367187 8.101563-5.863281 12.46875-3.339843 4.363282 2.519531 5.859375 8.101562 3.339844 12.464843l-62.46875 108.203125c-2.523438 4.367188-8.105469 5.859375-12.46875 3.339844zm0 0" fill="#b9e9fd"/><path d="m124.410156 478.792969c-7.859375-4.535157-10.550781-14.582031-6.015625-22.441407l121.453125-210.363281c4.539063-7.855469 14.585938-10.546875 22.441406-6.011719 7.859376 4.539063 10.550782 14.585938 6.015626 22.441407l-121.453126 210.363281c-4.539062 7.859375-14.585937 10.550781-22.441406 6.011719zm0 0" fill="#83d3fc"/><path d="m223.347656 307.425781c-7.859375-4.535156-17.90625-1.84375-22.441406 6.015625l-83.726562 145.019532c-4.539063 7.859374-1.84375 17.902343 6.011718 22.441406 7.859375 4.535156 17.90625 1.84375 22.441406-6.011719l83.726563-145.023437c4.539063-7.859376 1.847656-17.90625-6.011719-22.441407zm0 0" fill="#3957c9"/><path d="m182.375 379.273438c-6.1875-3.574219-9.695312-9.988282-9.867188-16.644532l-55.328124 95.832032c-4.539063 7.855468-1.84375 17.902343 6.011718 22.441406 7.859375 4.535156 17.90625 1.84375 22.441406-6.011719l54.671876-94.691406c-5.585938 2.476562-12.230469 2.363281-17.929688-.925781zm0 0" fill="#1d319b"/><path d="m99.613281 335.550781c-20.710937 11.082031-41.15625 25.832031-60.488281 43.796875l68.453125 39.519532c5.890625-25.722657 8.445313-50.804688 7.683594-74.28125-.265625-8.296876-8.328125-12.953126-15.648438-9.035157zm0 0" fill="#fbb362"/><path d="m33.273438 389.484375c14.1875 24.523437 32.507812 46.351563 54 64.550781l20.304687-35.167968-68.453125-39.519532zm0 0" fill="#fadda0"/><path d="m71.066406 397.789062-31.941406-18.441406-5.851562 10.136719c6.832031 11.8125 14.632812 22.992187 23.277343 33.449219zm0 0" fill="#fbb362"/><path d="m407.636719 12.09375c-3.421875-8.195312-11.859375-13.066406-20.667969-11.929688-23.820312 3.074219-46.894531 21.367188-65.144531 40.671876 11.34375-3.875 24.671875-5.570313 39.894531-2.898438 7.128906 1.25 15.015625 5.160156 21.023438 10.175781-4.953126-35.554687 24.894531-36.019531 24.894531-36.019531zm0 0" fill="#fd7e31"/><path d="m334.257812 450.601562c11.289063-27.015624 30.300782-10.46875 30.375-10.402343-4.058593-15.683594-9.980468-30.957031-17.6875-45.488281-5.171874-9.753907-9.496093-19.863282-12.984374-30.210938l-15.703126 27.199219c-2.59375 4.484375-2.6875 9.992187-.25 14.5625 7.511719 14.074219 12.929688 29.015625 16.238282 44.363281.003906-.007812.007812-.015625.011718-.023438zm0 0" fill="#3957c9"/><path d="m39.15625 251.078125c.871094.335937 23.199219 9.242187 6.535156 31.324219-.003906.003906-.007812.007812-.007812.011718 14.398437-4.460937 29.433594-7.039062 44.742187-7.546874l.082031-.003907c5.125-.171875 9.800782-2.980469 12.363282-7.421875l15.746094-27.269531c-10.707032 2.152344-21.625 3.460937-32.660157 3.859375-15.933593.574219-31.632812 2.960938-46.800781 7.046875zm0 0" fill="#3957c9"/><g fill="#fd7e31"><path d="m245.207031 419.609375c-20.707031 11.082031-41.152343 25.832031-60.484375 43.796875l31.945313 18.445312c14.96875-20.484374 29.609375-38.585937 43.351562-53.691406.246094-.269531.488281-.511718.722657-.75-.988282-7.507812-8.585938-11.515625-15.535157-7.800781zm0 0"/><path d="m99.613281 335.550781c-20.710937 11.082031-41.15625 25.828125-60.488281 43.796875l31.945312 18.441406c14.972657-20.480468 29.609376-38.585937 43.351563-53.6875.25-.273437.488281-.515624.726563-.75-.988282-7.511718-8.585938-11.519531-15.535157-7.800781zm0 0"/></g></svg>
\ No newline at end of file
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/Space/044-rocket.svg b/src/backend/base/langflow/initial_setup/profile_pictures/Space/044-rocket.svg
new file mode 100644
index 00000000000..7a069e53e79
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/Space/044-rocket.svg
@@ -0,0 +1 @@
+<svg height="512pt" viewBox="-11 0 512 512" width="512pt" xmlns="http://www.w3.org/2000/svg"><path d="m245 22c-135.308594 0-245 109.6875-245 245 0 47.320312 13.417969 91.5 36.652344 128.953125 0 0 31.1875 40.222656 40.132812 49.148437 16.398438 15.488282 34.925782 28.746094 55.105469 39.265626h226.21875c78.375-40.867188 131.890625-122.859376 131.890625-217.367188 0-135.3125-109.691406-245-245-245zm0 0" fill="#162680"/><path d="m293.0625 52.257812c-4.359375 0-7.894531-3.535156-7.894531-7.898437v-36.464844c0-4.359375 3.535156-7.894531 7.894531-7.894531 4.363281 0 7.898438 3.535156 7.898438 7.894531v36.464844c0 4.363281-3.535157 7.898437-7.898438 7.898437zm0 0" fill="#fc7acd"/><path d="m309.113281 142.066406v-83.101562c0-8.742188-4.148437-16.507813-10.578125-21.457032-3.199218-2.464843-7.742187-2.464843-10.945312 0-6.429688 4.949219-10.574219 12.714844-10.574219 21.457032v83.101562zm0 0" fill="#f948b4"/><path d="m293.0625 66.402344c-7.585938 0-13.925781-5.269532-15.601562-12.34375-.289063 1.589844-.445313 3.230468-.445313 4.90625v83.101562h32.097656v-83.101562c0-1.679688-.152343-3.316406-.445312-4.90625-1.675781 7.074218-8.015625 12.34375-15.605469 12.34375zm0 0" fill="#f6159c"/><path d="m270.964844 142.066406 6.050781-27.042968h32.097656l6.050781 27.042968zm0 0" fill="#fc7acd"/><path d="m277.015625 115.023438-6.050781 27.042968h20.246094l3.28125-27.042968zm0 0" fill="#f948b4"/><path d="m270.964844 142.066406h44.199218v136.222656h-44.199218zm0 0" fill="#fadda0"/><path d="m293.0625 218.074219c-12.203125 0-22.097656-9.894531-22.097656-22.101563v82.316406h44.199218v-82.316406c0 12.207032-9.894531 22.101563-22.101562 22.101563zm0 0" fill="#face7a"/><path d="m312.933594 149.964844h-39.742188c-4.359375 0-7.894531-3.535156-7.894531-7.898438 0-4.359375 3.535156-7.894531 7.894531-7.894531h39.742188c4.363281 0 7.898437 3.535156 7.898437 7.894531 0 4.363282-3.535156 7.898438-7.898437 7.898438zm0 0" fill="#ffade5"/><path d="m287.398438 142.066406c0-4.359375 3.535156-7.894531 7.894531-7.894531h-22.101563c-4.359375 0-7.894531 3.535156-7.894531 7.894531 0 4.363282 3.535156 7.898438 7.894531 7.898438h22.101563c-4.359375 0-7.894531-3.535156-7.894531-7.898438zm0 0" fill="#fc7acd"/><path d="m262.242188 304.28125v39.132812c1.023437.304688 2 .789063 2.867187 1.5 6.710937 5.511719 11.203125 14.707032 11.203125 21.003907v26.609375c2.566406 1.675781 4.265625 4.570312 4.265625 7.863281v56.234375c5.878906 1.492188 10.265625 6.828125 10.265625 13.15625 0 7.472656-6.113281 13.585938-13.585938 13.585938h31.382813c-7.472656 0-13.585937-6.113282-13.585937-13.585938 0-6.324219 4.386718-11.664062 10.265624-13.15625v-56.234375c0-3.292969 1.699219-6.1875 4.265626-7.863281v-26.609375c0-6.296875 4.492187-15.492188 11.203124-21.007813.929688-.761718 1.992188-1.261718 3.097657-1.554687v-39.074219zm0 0" fill="#fadda0"/><path d="m295.054688 469.78125c0-6.324219 4.386718-11.664062 10.265624-13.15625v-34.390625c-2.53125 4.082031-7.039062 6.808594-12.195312 6.808594-5.398438 0-10.09375-2.984375-12.546875-7.390625v34.972656c5.878906 1.492188 10.265625 6.832031 10.265625 13.15625 0 7.472656-6.113281 13.585938-13.585938 13.585938h31.382813c-7.472656 0-13.585937-6.113282-13.585937-13.585938zm0 0" fill="#fc9949"/><path d="m262.242188 304.28125 8.722656-27.046875h44.199218l8.722657 27.046875zm0 0" fill="#fc7acd"/><path d="m270.964844 277.234375-8.722656 27.046875h28.21875l4.730468-27.046875zm0 0" fill="#f948b4"/><path d="m262.242188 304.28125h61.644531v30.859375h-61.644531zm0 0" fill="#f9ecc6"/><path d="m366.351562 231.195312c-43.242187 0-172.09375 0-227.25 0v15.972657h41.894532v14.34375h-41.894532v15.972656h203.417969c4.410157 0 7.988281-3.574219 7.988281-7.988281v-22.328125h15.84375c4.410157 0 7.988282-3.574219 7.988282-7.984375 0-4.414063-3.578125-7.988282-7.988282-7.988282zm-134.175781 30.316407h-35.207031v-14.34375h35.207031zm51.179688 0h-35.207031v-14.34375h35.207031zm51.179687 0h-35.210937v-14.34375h35.210937zm0 0" fill="#b9e9fd"/><path d="m126.421875 197.644531-82.066406-52.746093c-3.710938-2.386719-4.785157-7.328126-2.398438-11.039063 2.382813-3.707031 7.324219-4.78125 11.035157-2.398437l82.066406 52.746093c3.707031 2.386719 4.785156 7.328125 2.398437 11.039063-2.390625 3.714844-7.332031 4.78125-11.035156 2.398437zm0 0" fill="#61b6ff"/><path d="m126.421875 250.734375-82.066406-52.746094c-3.710938-2.386719-4.785157-7.328125-2.398438-11.035156 2.382813-3.710937 7.324219-4.789063 11.035157-2.402344l82.066406 52.746094c3.707031 2.386719 4.785156 7.324219 2.398437 11.035156-2.390625 3.714844-7.332031 4.78125-11.035156 2.402344zm0 0" fill="#61b6ff"/><path d="m126.421875 302.949219-82.066406-52.746094c-3.710938-2.386719-4.785157-7.324219-2.398438-11.035156 2.382813-3.710938 7.324219-4.785157 11.035157-2.402344l82.066406 52.746094c3.707031 2.386719 4.785156 7.328125 2.398437 11.035156-2.390625 3.71875-7.332031 4.78125-11.035156 2.402344zm0 0" fill="#61b6ff"/><path d="m126.421875 356.039062-82.066406-52.75c-3.710938-2.382812-4.785157-7.324218-2.398438-11.035156 2.382813-3.707031 7.324219-4.78125 11.035157-2.398437l82.066406 52.746093c3.707031 2.382813 4.785156 7.324219 2.398437 11.035157-2.390625 3.71875-7.332031 4.78125-11.035156 2.402343zm0 0" fill="#61b6ff"/><path d="m130.730469 410.050781c-1.476563 0-2.972657-.410156-4.308594-1.269531l-82.066406-52.746094c-3.710938-2.382812-4.785157-7.324218-2.398438-11.035156 2.382813-3.710938 7.324219-4.78125 11.035157-2.398438l82.066406 52.746094c6.71875 4.320313 3.570312 14.703125-4.328125 14.703125zm0 0" fill="#61b6ff"/><path d="m126.421875 461.203125-82.066406-52.742187c-3.710938-2.386719-4.785157-7.328126-2.398438-11.039063 2.382813-3.710937 7.324219-4.78125 11.035157-2.398437l82.066406 52.746093c3.707031 2.382813 4.785156 7.324219 2.398437 11.035157-2.390625 3.714843-7.332031 4.78125-11.035156 2.398437zm0 0" fill="#61b6ff"/><path d="m36.652344 395.953125c8.773437 14.144531 18.9375 27.328125 30.316406 39.359375v-312.699219c-10.402344 0-20.546875 0-30.316406 0zm0 0" fill="#83d3fc"/><path d="m112.445312 473.078125c8.742188 5.636719 17.871094 10.726563 27.332032 15.230469h2.984375v-365.695313c-10.207031 0-20.332031 0-30.316407 0zm0 0" fill="#83d3fc"/><path d="m36.652344 122.613281v104.523438c0-8.371094 6.785156-15.15625 15.160156-15.15625 8.371094 0 15.15625 6.785156 15.15625 15.15625v-104.523438c-10.402344 0-20.542969 0-30.316406 0zm0 0" fill="#61b6ff"/><path d="m112.445312 122.613281v104.523438c0-8.371094 6.785157-15.15625 15.15625-15.15625 8.371094 0 15.160157 6.785156 15.160157 15.15625v-104.523438c-10.207031 0-20.328125 0-30.316407 0zm0 0" fill="#61b6ff"/><g fill="#b9e9fd"><path d="m48.683594 198.914062c-2.628906 0-5.199219-1.296874-6.726563-3.667968-2.386719-3.710938-1.308593-8.652344 2.398438-11.039063l82.066406-52.746093c3.710937-2.382813 8.648437-1.308594 11.035156 2.398437 2.386719 3.710937 1.308594 8.652344-2.398437 11.039063l-82.066406 52.746093c-1.335938.859375-2.832032 1.269531-4.308594 1.269531zm0 0"/><path d="m48.683594 252.003906c-2.628906 0-5.199219-1.296875-6.726563-3.671875-2.386719-3.710937-1.308593-8.648437 2.398438-11.035156l82.066406-52.746094c3.710937-2.382812 8.648437-1.3125 11.035156 2.398438 2.386719 3.710937 1.308594 8.652343-2.398437 11.035156l-82.066406 52.746094c-1.335938.859375-2.832032 1.273437-4.308594 1.273437zm0 0"/><path d="m48.683594 304.21875c-2.628906 0-5.199219-1.296875-6.726563-3.671875-2.386719-3.707031-1.308593-8.648437 2.398438-11.035156l82.066406-52.746094c3.710937-2.382813 8.648437-1.3125 11.035156 2.402344 2.386719 3.710937 1.308594 8.648437-2.398437 11.035156l-82.066406 52.746094c-1.335938.859375-2.832032 1.269531-4.308594 1.269531zm0 0"/><path d="m48.683594 357.308594c-2.628906 0-5.199219-1.296875-6.726563-3.671875-2.386719-3.710938-1.308593-8.648438 2.398438-11.035157l82.066406-52.746093c3.710937-2.382813 8.648437-1.3125 11.035156 2.398437 2.386719 3.710938 1.308594 8.652344-2.398437 11.035156l-82.066406 52.75c-1.335938.855469-2.832032 1.269532-4.308594 1.269532zm0 0"/><path d="m48.683594 410.050781c-2.628906 0-5.199219-1.292969-6.726563-3.667969-2.386719-3.710937-1.308593-8.652343 2.398438-11.035156l82.066406-52.746094c3.710937-2.382812 8.648437-1.3125 11.035156 2.402344 2.386719 3.707032 1.308594 8.648438-2.398437 11.035156l-82.066406 52.746094c-1.335938.855469-2.832032 1.265625-4.308594 1.265625zm0 0"/><path d="m137.457031 398.089844c-2.386719-3.710938-7.324219-4.785156-11.035156-2.402344l-60.273437 38.742188c3.726562 3.976562 7.582031 7.832031 11.566406 11.554687l57.34375-36.859375c3.707031-2.382812 4.785156-7.324219 2.398437-11.035156zm0 0"/><path d="m367.5625 78.453125c-25.566406 0-219.746094 0-251.464844 0l-43.085937-49.859375c-1.472657-1.691406-3.683594-2.765625-6.042969-2.765625h-7.171875v-17.84375c0-4.410156-3.574219-7.984375-7.984375-7.984375s-7.988281 3.574219-7.988281 7.984375v17.84375h-7.171875c-4.410156 0-7.984375 3.574219-7.984375 7.988281v82.941406c0 4.410157 3.574219 7.984376 7.984375 7.984376h307.078125c4.410156 0 7.984375-3.574219 7.984375-7.984376v-22.332031h15.847656c4.410156 0 7.984375-3.574219 7.984375-7.984375 0-4.414062-3.574219-7.988281-7.984375-7.988281zm-292.609375 0v-23.183594l20.035156 23.183594c-6.871093 0-13.023437 0-20.035156 0zm-30.3125 0v-36.652344h14.34375v36.652344zm0 15.972656h35.207031v14.34375h-35.207031zm51.175781 0h35.210938v14.34375h-35.210938zm51.179688 0h35.210937v14.34375h-35.210937zm51.179687 0h35.210938v14.34375h-35.210938zm51.179688 0h35.210937v14.34375h-35.210937zm86.386719 14.34375h-35.207032v-14.34375h35.207032zm0 0"/></g><path d="m321.777344 312.175781h-57.429688c-4.359375 0-7.894531-3.535156-7.894531-7.894531s3.535156-7.894531 7.894531-7.894531h57.429688c4.363281 0 7.898437 3.535156 7.898437 7.894531s-3.535156 7.894531-7.898437 7.894531zm0 0" fill="#ffade5"/><path d="m287.273438 304.28125c0-4.359375 3.535156-7.894531 7.898437-7.894531h-30.824219c-4.359375 0-7.894531 3.535156-7.894531 7.894531s3.535156 7.894531 7.894531 7.894531h30.824219c-4.363281 0-7.898437-3.535156-7.898437-7.894531zm0 0" fill="#fc7acd"/><path d="m312.609375 392.050781h22.550781c1.894532 0 3.65625.5625 5.128906 1.527344v-27.660156c0-6.296875-4.492187-15.492188-11.203124-21.007813-3.023438-2.480468-7.378907-2.480468-10.402344 0-6.710938 5.511719-11.207032 14.707032-11.207032 21.007813v27.660156c1.476563-.964844 3.238282-1.527344 5.132813-1.527344zm0 0" fill="#83d3fc"/><path d="m323.886719 387.1875v-21.269531c0-6.214844 2.1875-15.238281 5.46875-20.773438-.089844-.074219-.175781-.15625-.269531-.230469-3.023438-2.484374-7.375-2.484374-10.402344 0-6.710938 5.511719-11.203125 14.707032-11.203125 21.003907v27.660156c1.472656-.964844 3.234375-1.527344 5.128906-1.527344h13.8125c-1.386719.015625-2.535156-2.09375-2.535156-4.863281zm0 0" fill="#5294e5"/><path d="m335.160156 390.996094h-22.550781c-5.1875 0-9.394531 4.207031-9.394531 9.394531v59.898437h41.339844v-59.898437c0-5.1875-4.207032-9.394531-9.394532-9.394531zm0 0" fill="#61b6ff"/><path d="m328.582031 390.996094h-15.972656c-5.191406 0-9.394531 4.207031-9.394531 9.394531v59.902344h20.667968v-59.902344c.003907-5.1875 2.105469-9.394531 4.699219-9.394531zm0 0" fill="#5294e5"/><path d="m341.234375 456.195312h-34.699219c-7.472656 0-13.585937 6.113282-13.585937 13.585938s6.113281 13.585938 13.585937 13.585938h34.699219c7.472656 0 13.585937-6.113282 13.585937-13.585938s-6.113281-13.585938-13.585937-13.585938zm0 0" fill="#face7a"/><path d="m310.78125 469.78125c0-7.472656 6.117188-13.585938 13.585938-13.585938h-17.832032c-7.472656 0-13.585937 6.113282-13.585937 13.585938s6.113281 13.585938 13.585937 13.585938h17.832032c-7.46875 0-13.585938-6.113282-13.585938-13.585938zm0 0" fill="#fbb362"/><path d="m172.363281 108.769531h-25.367187v-14.34375h25.367187c-4.410156 0-7.984375-3.578125-7.984375-7.984375 0-4.414062 3.574219-7.988281 7.988282-7.988281h-56.269532l-43.085937-49.859375c-1.46875-1.691406-3.683594-2.765625-6.039063-2.765625h-7.171875v-17.84375c-.003906-4.410156-3.578125-7.984375-7.988281-7.984375s-7.988281 3.574219-7.988281 7.984375v17.84375h-7.171875c-4.410156 0-7.984375 3.574219-7.984375 7.988281v82.941406c0 4.410157 3.574219 7.984376 7.984375 7.984376h135.707031c-4.40625-.003907-7.980469-3.578126-7.980469-7.984376 0-4.410156 3.574219-7.988281 7.984375-7.988281zm-127.722656-66.96875h14.34375v36.652344h-14.34375zm35.207031 66.96875h-35.207031v-14.34375h35.207031zm-4.894531-30.316406v-23.183594l20.035156 23.183594c-6.871093 0-13.023437 0-20.035156 0zm56.074219 30.316406h-35.210938v-14.34375h35.210938zm0 0" fill="#83d3fc"/><path d="m165.378906 239.183594c0-4.414063 3.574219-7.988282 7.984375-7.988282-13.0625 0-24.757812 0-34.261719 0v15.972657h34.261719c-4.410156 0-7.984375-3.574219-7.984375-7.984375zm0 0" fill="#83d3fc"/><path d="m165.378906 269.496094c0-4.410156 3.574219-7.984375 7.984375-7.984375h-34.261719v15.972656h34.261719c-4.410156 0-7.984375-3.574219-7.984375-7.988281zm0 0" fill="#83d3fc"/><path d="m375.546875 86.441406c0-4.414062-3.574219-7.988281-7.984375-7.988281-5.71875 0-19.871094 0-38.746094 0-4.410156 0-7.984375 3.574219-7.984375 7.988281 0 4.410156 3.574219 7.984375 7.984375 7.984375h38.746094c4.410156 0 7.984375-3.574219 7.984375-7.984375zm0 0" fill="#e0f9fe"/><path d="m374.339844 239.183594c0-4.414063-3.578125-7.988282-7.988282-7.988282-5.714843 0-19.867187 0-38.742187 0-4.410156 0-7.988281 3.574219-7.988281 7.988282 0 4.410156 3.574218 7.984375 7.988281 7.984375h38.742187c4.410157 0 7.988282-3.574219 7.988282-7.984375zm0 0" fill="#e0f9fe"/><path d="m251.089844 392.050781h22.550781c1.894531 0 3.65625.5625 5.128906 1.527344v-27.660156c0-6.296875-4.492187-15.492188-11.203125-21.007813-3.023437-2.480468-7.378906-2.480468-10.402344 0-6.710937 5.511719-11.207031 14.707032-11.207031 21.007813v27.660156c1.476563-.964844 3.238281-1.527344 5.132813-1.527344zm0 0" fill="#83d3fc"/><path d="m262.367188 387.1875v-21.269531c0-6.214844 2.1875-15.238281 5.46875-20.773438-.089844-.074219-.175782-.15625-.269532-.230469-3.023437-2.484374-7.375-2.484374-10.402344 0-6.710937 5.511719-11.203124 14.707032-11.203124 21.003907v27.660156c1.472656-.964844 3.234374-1.527344 5.128906-1.527344h13.8125c-1.386719.015625-2.535156-2.09375-2.535156-4.863281zm0 0" fill="#5294e5"/><path d="m273.640625 390.996094h-22.550781c-5.1875 0-9.394532 4.207031-9.394532 9.394531v59.898437h41.339844v-59.898437c0-5.1875-4.207031-9.394531-9.394531-9.394531zm0 0" fill="#61b6ff"/><path d="m267.0625 390.996094h-15.972656c-5.191406 0-9.394532 4.207031-9.394532 9.394531v59.902344h20.667969v-59.902344c.003907-5.1875 2.105469-9.394531 4.699219-9.394531zm0 0" fill="#5294e5"/><path d="m279.714844 456.195312h-34.699219c-7.472656 0-13.585937 6.113282-13.585937 13.585938s6.113281 13.585938 13.585937 13.585938h34.699219c7.472656 0 13.585937-6.113282 13.585937-13.585938s-6.113281-13.585938-13.585937-13.585938zm0 0" fill="#face7a"/><path d="m249.261719 469.78125c0-7.472656 6.117187-13.585938 13.585937-13.585938h-17.832031c-7.472656 0-13.585937 6.113282-13.585937 13.585938s6.113281 13.585938 13.585937 13.585938h17.832031c-7.46875 0-13.585937-6.113282-13.585937-13.585938zm0 0" fill="#fbb362"/><path d="m245 512c41.566406 0 80.710938-10.367188 115.003906-28.632812h-230.007812c34.292968 18.265624 73.4375 28.632812 115.003906 28.632812zm0 0" fill="#b9e9fd"/><path d="m260.066406 483.367188h-130.070312c34.292968 18.265624 73.4375 28.632812 115.003906 28.632812 4.46875 0 8.90625-.128906 13.316406-.363281-17.367187-1.785157-16.324218-28.269531 1.75-28.269531zm0 0" fill="#61b6ff"/></svg>
\ No newline at end of file
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/Space/045-astronaut.svg b/src/backend/base/langflow/initial_setup/profile_pictures/Space/045-astronaut.svg
new file mode 100644
index 00000000000..c69214ebde5
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/Space/045-astronaut.svg
@@ -0,0 +1 @@
+<svg height="511pt" viewBox="-10 0 511 511.99969" width="511pt" xmlns="http://www.w3.org/2000/svg"><path d="m459.917969 385.59375c19.476562-35.144531 30.582031-75.570312 30.582031-118.59375 0-135.308594-109.6875-245-245-245-135.308594 0-245 109.691406-245 245 0 43.023438 11.101562 83.445312 30.578125 118.585938zm0 0" fill="#eec707"/><path d="m436.324219 420.648438c-15.191407-6.140626-25.914063-21.019532-25.914063-38.410157 0-18.808593 12.542969-34.671875 29.71875-39.722656-21.90625-38.402344-41.328125-53.652344-41.328125-53.652344h-2.519531c-49.515625 74.625-19.089844 145.050781-19.089844 145.050781 1.042969 3.371094 1.621094 7.128907 1.867188 11.164063 0 0-2.003906 8.957031.433594 27.046875 21.539062-14.097656 40.71875-31.496094 56.832031-51.476562zm0 0" fill="#fd7e31"/><path d="m427.347656 431.152344c-2.527344-8.632813-5.382812-16.558594-8.453125-23.8125-3.453125-4.519532-6-9.769532-7.359375-15.484375-13.980468-26.3125-30.058594-41.371094-39.210937-48.476563-12.164063 51.109375 4.863281 90.535156 4.863281 90.535156 1.042969 3.371094 1.625 7.128907 1.867188 11.164063 0 0-2 8.957031.4375 27.046875 17.671874-11.566406 33.75-25.355469 47.855468-40.972656zm0 0" fill="#fc5d1f"/><path d="m92.199219 288.863281s-33.148438 26.019531-61.679688 95.722657c19.414063 35.417968 47.324219 65.503906 80.988281 87.539062 2.4375-18.089844.4375-27.046875.4375-27.046875.242188-4.035156.824219-7.792969 1.867188-11.164063 0 0 30.421875-70.425781-19.09375-145.050781zm0 0" fill="#fd7e31"/><path d="m111.945312 445.078125c.242188-4.035156.824219-7.792969 1.867188-11.164063 0 0 16.425781-38.03125 5.488281-87.8125-14.171875 11.957032-38.886719 38.777344-52.605469 88.347657 13.363282 14.257812 28.398438 26.929687 44.8125 37.675781 2.4375-18.089844.4375-27.046875.4375-27.046875zm0 0" fill="#fc5d1f"/><path d="m341.011719 252.398438c-14.695313 21.625-55.113281 46.121093-95.511719 46.121093-40.371094 0-74.964844-15.175781-89.679688-36.777343l-63.621093 27.121093c49.519531 74.625 19.09375 145.050781 19.09375 145.050781-3.125 10.097657-2.113281 23.59375-.273438 37.890626 38.605469 25.402343 84.8125 40.195312 134.480469 40.195312s95.875-14.792969 134.480469-40.195312c1.839843-14.296876 2.851562-27.792969-.273438-37.890626 0 0-30.425781-70.425781 19.09375-145.050781zm0 0" fill="#fc9949"/><path d="m325.148438 475.125h-158.082032c-26.367187 0-48.589844-17.660156-55.535156-41.792969-.152344.378907-.238281.582031-.238281.582031-3.125 10.097657-2.117188 23.59375-.273438 37.890626 38.605469 25.402343 84.8125 40.195312 134.480469 40.195312s95.875-14.792969 134.480469-40.195312c1.757812-13.664063 2.75-26.589844.105469-36.523438-7.550782 23.128906-29.285157 39.84375-54.9375 39.84375zm0 0" fill="#fd7e31"/><path d="m234.902344 299.5v212.257812c3.515625.148438 7.046875.242188 10.597656.242188 4.898438 0 9.753906-.160156 14.582031-.445312v-212.371094c-4.757812.441406-9.625.683594-14.582031.683594-3.582031 0-7.113281-.132813-10.597656-.367188zm0 0" fill="#face7a"/><path d="m260.082031 475.125h-25.179687v36.632812c8.417968.359376 15.941406.339844 25.179687-.203124zm0 0" fill="#eec707"/><path d="m333.1875 234.917969c-12.542969-6.726563-38.871094-17.226563-82.089844-18.070313-1.867187-.03125-3.730468-.058594-5.597656-.058594s-3.734375.027344-5.605469.058594c-43.75.855469-70.328125 11.605469-82.769531 18.316406-.394531.230469-4.101562 2.480469-6.144531 7.007813 26.6875 18.953125 59.292969 30.128906 94.519531 30.128906 35.101562 0 67.597656-11.097656 94.230469-29.929687-2.234375-4.714844-6.109375-7.191406-6.542969-7.453125zm0 0" fill="#fc5d1f"/><path d="m245.5 274.820312c33.058594 0 66.316406-10.003906 89.542969-29.21875-58.699219-15.402343-120.386719-15.402343-179.085938 0 24.621094 19.214844 56.484375 29.21875 89.542969 29.21875zm0 0" fill="#162680"/><path d="m312.816406 260.140625c-10.46875-5.550781-21.855468-15.105469-21.855468-30.460937h-43.46875v44.925781c23.273437-.28125 45.367187-5.417969 65.324218-14.464844zm0 0" fill="#fe9d9a"/><path d="m245.5 274.644531c.667969 0 1.328125-.03125 1.992188-.039062v-44.925781h-43.46875c0 16.253906-12.757813 26.011718-23.679688 31.394531 19.964844 8.707031 41.984375 13.570312 65.15625 13.570312zm0 0" fill="#f98f8f"/><path d="m339.730469 242.367188c-26.632813 18.835937-59.125 29.933593-94.230469 29.933593-35.230469 0-67.828125-11.179687-94.515625-30.136719-1.3125 2.910157-1.933594 6.753907-.542969 11.609376 9.472656 27.015624 48.421875 47.261718 95.058594 47.261718 47.421875 0 86.898438-20.933594 95.511719-48.636718.710937-4.054688-.027344-7.386719-1.28125-10.03125zm0 0" fill="#fd7e31"/><path d="m302.820312 261.933594c-17.835937 6.695312-37.144531 10.367187-57.320312 10.367187-35.230469 0-67.828125-11.175781-94.515625-30.132812-1.3125 2.90625-1.933594 6.753906-.542969 11.609375 9.472656 27.015625 48.421875 47.261718 95.058594 47.261718 24.820312 0 47.457031-5.746093 64.640625-15.1875-10.890625-2.394531-15.027344-15.800781-7.320313-23.917968zm0 0" fill="#fc5d1f"/><path d="m229.316406 1.070312c-51.621094 7.035157-56.527344 36.300782-56.550781 47.039063-.003906 2.253906-1.25 4.339844-3.277344 5.324219-26.851562 13.0625-12.375 77.882812-12.375 77.882812 2.699219.179688 5.519531 1.269532 7.625 2.289063.515625-3.207031 3.222657-8.230469 4.410157-11.285157.90625-2.324218 2.039062-4.675781 3.453124-6.894531 2.457032-3.851562 3.574219-8.398437 3.242188-12.941406-.96875-13.132813-2.367188-37.144531 14.96875-44.945313 14.683594-6.609374 32.703125-2.78125 44.191406 1.039063 7.460938 2.480469 15.542969 2.480469 23.003906 0 11.488282-3.820313 29.503907-7.648437 44.1875-1.039063 17.289063 7.777344 15.933594 31.664063 14.980469 44.832032-.332031 4.578125.757813 9.171875 3.230469 13.054687 1.460938 2.289063 2.621094 4.722657 3.539062 7.121094 1.144532 2.980469 3.824219 7.929687 4.328126 11.058594 2.652343-1.285157 6.445312-2.6875 9.6875-2.226563.398437-13.765625 1.667968-30.472656 1.667968-30.472656 15.296875-74.917969-54.734375-107.40625-110.3125-99.835938zm0 0" fill="#b33c37"/><path d="m243.414062.0195312c-4.761718.0742188-9.480468.4218748-14.097656 1.0507808-51.621094 7.035157-56.527344 36.300782-56.550781 47.039063-.003906 2.25-1.25 4.339844-3.277344 5.324219-26.851562 13.0625-12.375 77.878906-12.375 77.878906 2.699219.179688 5.519531 1.273438 7.625 2.292969.515625-3.207031 3.222657-8.234375 4.410157-11.285157.90625-2.324218 2.039062-4.675781 3.453124-6.894531 2.457032-3.851562 3.574219-8.398437 3.242188-12.941406-.964844-13.132813-2.367188-37.148437 14.96875-44.945313 12.351562-5.558593 27.058594-3.734374 38.257812-.742187-.160156-.375-.3125-.753906-.484374-1.125-20.289063-44.179687 13.160156-55.136719 14.828124-55.6523438zm0 0" fill="#a33131"/><path d="m343.652344 131.300781c-4.117188-3.683593-12.320313-1.816406-15.867188.4375.777344 4.726563.824219 9.558594.152344 14.332031l-4.1875 29.757813c0 2.402344-.078125 4.753906-.21875 7.066406 10.203125 3.003907 15.273438-5.9375 16.128906-12.078125.367188-2.644531.96875-5.246094 1.800782-7.789062 2.71875-8.277344 12.511718-22.496094 2.191406-31.726563zm0 0" fill="#fe9d9a"/><path d="m335.902344 159.710938c-3.640625 0-6.9375-1.457032-9.347656-3.816407l-2.804688 19.933594c0 2.402344-.078125 4.753906-.21875 7.066406 10.203125 3.003907 15.273438-5.9375 16.128906-12.078125.367188-2.644531.96875-5.246094 1.800782-7.789062.578124-1.761719 1.476562-3.792969 2.433593-5.984375-2.230469 1.667969-4.992187 2.667969-7.992187 2.667969zm0 0" fill="#f98f8f"/><path d="m149.355469 131.300781c4.121093-3.683593 12.324219-1.816406 15.871093.4375-.777343 4.726563-.820312 9.558594-.148437 14.332031l4.1875 29.757813c0 2.402344.078125 4.753906.21875 7.066406-10.207031 3.003907-15.277344-5.9375-16.132813-12.078125-.367187-2.644531-.96875-5.246094-1.800781-7.789062-2.71875-8.277344-12.511719-22.496094-2.195312-31.726563zm0 0" fill="#fe9d9a"/><path d="m166.476562 156c-2.402343 2.292969-5.648437 3.710938-9.230468 3.710938-3.09375 0-5.929688-1.058594-8.195313-2.816407.980469 2.25 1.90625 4.332031 2.5 6.132813.832031 2.542968 1.433594 5.148437 1.800781 7.789062.855469 6.140625 5.925782 15.085938 16.132813 12.078125-.140625-2.3125-.21875-4.664062-.21875-7.0625zm0 0" fill="#f98f8f"/><path d="m325.8125 122.546875c-.917969-2.398437-2.078125-4.832031-3.539062-7.121094-2.472657-3.882812-3.5625-8.476562-3.230469-13.054687.953125-13.167969.441406-38.921875-16.84375-46.699219-14.6875-6.605469-32.703125-2.78125-44.191407 1.039063-7.460937 2.480468-15.546874 2.480468-23.007812 0-11.488281-3.820313-29.503906-7.644532-44.1875-1.039063-17.335938 7.800781-17.800781 33.679687-16.835938 46.8125.332032 4.542969-.785156 9.089844-3.242187 12.941406-1.414063 2.21875-2.546875 4.570313-3.449219 6.894531-2.9375 7.546876-3.796875 15.730469-2.695312 23.742188l4.089844 29.765625c0 42.796875 22.84375 71.882813 42.273437 86.972656 10.144531 7.875 22.660156 12.15625 35.550781 12.15625s25.410156-4.28125 35.550782-12.15625c19.433593-15.089843 42.277343-44.175781 42.277343-86.972656l4.085938-29.761719c1.089843-7.933594.265625-16.035156-2.605469-23.519531zm0 0" fill="#ffbaae"/><path d="m243.21875 262.800781c-14.113281-15.089843-30.710938-44.175781-30.710938-86.972656l-2.96875-29.765625c-.796874-8.011719-.175781-16.195312 1.957032-23.742188.65625-2.324218 1.480468-4.675781 2.507812-6.894531 1.785156-3.851562 2.597656-8.398437 2.355469-12.941406-.703125-13.132813-.363281-39.011719 12.226563-46.8125.339843-.207031.675781-.40625 1.019531-.59375-11.261719-3.078125-26.242188-5.050781-38.792969.59375-17.335938 7.800781-17.800781 33.679687-16.835938 46.8125.332032 4.542969-.785156 9.089844-3.242187 12.941406-1.414063 2.21875-2.546875 4.570313-3.453125 6.894531-2.933594 7.546876-3.792969 15.730469-2.691406 23.742188l4.085937 29.765625c0 42.796875 22.84375 71.882813 42.277344 86.972656 10.144531 7.875 22.660156 12.15625 35.550781 12.15625 4.425782 0 8.800782-.515625 13.054688-1.496093-5.914063-1.875-11.5-5.484376-16.339844-10.660157zm0 0" fill="#fe9d9a"/><path d="m440.070312 342.414062c-17.539062 5.007813-30.386718 21.140626-30.386718 40.289063 0 17.503906 10.738281 32.492187 25.980468 38.757813 9.332032-11.476563 17.652344-23.808594 24.8125-36.871094-6.710937-16.394532-13.675781-30.382813-20.40625-42.175782zm0 0" fill="#e0f9fe"/><path d="m435.042969 384.296875c-7.9375-11.21875-9.578125-24.992187-5.644531-37.132813-11.839844 7.402344-19.714844 20.546876-19.714844 35.539063 0 17.503906 10.738281 32.492187 25.980468 38.761719 5.972657-7.347656 11.523438-15.046875 16.628907-23.058594-6.699219-2.953125-12.710938-7.695312-17.25-14.109375zm0 0" fill="#b9e9fd"/><path d="m314.855469 467.304688h-137.847657c-8.308593 0-15.105468-6.796876-15.105468-15.105469v-98.828125c0-8.308594 6.796875-15.109375 15.105468-15.109375h137.847657c8.308593 0 15.105469 6.800781 15.105469 15.109375v98.828125c0 8.308593-6.796876 15.105469-15.105469 15.105469zm0 0" fill="#1d319b"/><path d="m215.542969 452.199219v-98.828125c0-8.308594 6.796875-15.105469 15.105469-15.105469h-53.636719c-8.3125 0-15.109375 6.796875-15.109375 15.105469v98.828125c0 8.308593 6.796875 15.105469 15.109375 15.105469h53.636719c-8.308594 0-15.105469-6.796876-15.105469-15.105469zm0 0" fill="#162680"/><path d="m314.855469 476.085938h-137.84375c-13.175781 0-23.890625-10.714844-23.890625-23.886719v-98.828125c0-13.171875 10.714844-23.890625 23.890625-23.890625h137.84375c13.175781 0 23.890625 10.71875 23.890625 23.890625v98.828125c0 13.171875-10.71875 23.886719-23.890625 23.886719zm-137.84375-129.042969c-3.488281 0-6.328125 2.839843-6.328125 6.328125v98.828125c0 3.488281 2.839844 6.324219 6.328125 6.324219h137.84375c3.488281 0 6.328125-2.835938 6.328125-6.324219v-98.828125c0-3.488282-2.839844-6.328125-6.328125-6.328125zm0 0" fill="#83d3fc"/><path d="m328.253906 497.652344v-21.980469c0-4.851563-3.929687-8.78125-8.78125-8.78125-4.851562 0-8.78125 3.929687-8.78125 8.78125v27.542969c5.949219-1.640625 11.804688-3.496094 17.5625-5.5625zm0 0" fill="#b9e9fd"/><path d="m295.207031 506.949219v-31.277344c0-4.851563-3.929687-8.78125-8.78125-8.78125-4.851562 0-8.78125 3.929687-8.78125 8.78125v34.234375c5.925781-.777344 11.78125-1.765625 17.5625-2.957031zm0 0" fill="#b9e9fd"/><path d="m319.472656 491.132812c-4.851562 0-8.78125-3.929687-8.78125-8.78125v20.859376c5.949219-1.636719 11.804688-3.492188 17.5625-5.558594v-15.300782c0 4.851563-3.929687 8.78125-8.78125 8.78125zm0 0" fill="#83d3fc"/><path d="m286.425781 491.132812c-4.851562 0-8.78125-3.929687-8.78125-8.78125v27.554688c5.925781-.777344 11.78125-1.765625 17.5625-2.957031v-24.59375c0 4.847656-3.929687 8.777343-8.78125 8.777343zm0 0" fill="#83d3fc"/><path d="m300.667969 402.785156c0 15.789063-12.800781 28.589844-28.589844 28.589844s-28.589844-12.800781-28.589844-28.589844c0-15.792968 12.800781-28.589844 28.589844-28.589844s28.589844 12.796876 28.589844 28.589844zm0 0" fill="#4374d3"/><path d="m281.808594 411.917969c-10.417969 0-18.863282-8.445313-18.863282-18.863281 0-8.925782 6.210938-16.386719 14.539063-18.34375-17.742187-3.398438-33.996094 10.214843-33.996094 28.074218 0 15.789063 12.800781 28.589844 28.589844 28.589844 17.851563 0 31.472656-16.246094 28.074219-33.996094-1.957032 8.328125-9.417969 14.539063-18.34375 14.539063zm0 0" fill="#3957c9"/><path d="m203.832031 395.261719c-6.339843 0-11.707031-5.160157-11.707031-11.722657 0-7.515624 6.925781-12.894531 13.992188-11.472656 5.554687 1.132813 9.425781 5.9375 9.425781 11.472656 0 6.542969-5.34375 11.722657-11.710938 11.722657zm0 0" fill="#face7a"/><path d="m203.832031 433.738281c-6.3125 0-11.707031-5.125-11.707031-11.722656 0-7.46875 6.890625-12.90625 13.992188-11.472656 5.535156 1.121093 9.425781 5.925781 9.425781 11.472656 0 6.484375-5.292969 11.722656-11.710938 11.722656zm0 0" fill="#f948b4"/><path d="m210.8125 467.304688c0-4.074219 2.644531-7.535157 6.300781-8.78125h-40.101562c-3.488281 0-6.328125-2.835938-6.328125-6.324219v-98.828125c0-3.488282 2.839844-6.328125 6.328125-6.328125h40.105469c-3.660157-1.242188-6.300782-4.707031-6.300782-8.78125s2.640625-7.535157 6.300782-8.78125h-40.105469c-13.175781 0-23.890625 10.71875-23.890625 23.890625v98.828125c0 13.171875 10.714844 23.886719 23.890625 23.886719h40.101562c-3.65625-1.246094-6.300781-4.707032-6.300781-8.78125zm0 0" fill="#61b6ff"/></svg>
\ No newline at end of file
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/Space/046-rocket.svg b/src/backend/base/langflow/initial_setup/profile_pictures/Space/046-rocket.svg
new file mode 100644
index 00000000000..65e523f31b7
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/Space/046-rocket.svg
@@ -0,0 +1 @@
+<svg height="511pt" viewBox="-11 0 511 511.99927" width="511pt" xmlns="http://www.w3.org/2000/svg"><path d="m245.457031 22.082031c-135.285156 0-244.957031 109.671875-244.957031 244.960938 0 34.753906 7.253906 67.808593 20.304688 97.757812l252.648437 145.597657c122.101563-13.894532 216.960937-117.539063 216.960937-243.355469.003907-135.289063-109.667968-244.960938-244.957031-244.960938zm0 0" fill="#9d4ad3"/><path d="m373.996094 44.734375c-3.886719-2.242187-5.21875-7.207031-2.976563-11.09375l17.078125-29.578125c2.242188-3.886719 7.210938-5.214844 11.09375-2.972656 3.886719 2.242187 5.21875 7.210937 2.972656 11.09375l-17.074218 29.578125c-2.242188 3.886719-7.210938 5.214843-11.09375 2.972656zm0 0" fill="#b9e9fd"/><path d="m365.960938 30.300781c-30.871094 14.589844-61.078126 34.503907-89.363282 59.152344l107.363282 61.988281c7.207031-36.820312 9.347656-72.941406 6.546874-106.96875-.988281-12.03125-13.632812-19.328125-24.546874-14.171875zm0 0" fill="#f948b4"/><path d="m381.546875 39.296875c2.085937-2.074219 3.976563-3.320313 5.554687-3.8125-4.683593-6.199219-13.351562-8.863281-21.140624-5.183594-30.871094 14.585938-61.078126 34.503907-89.363282 59.152344l40.824219 23.570313c21.859375-28.359376 43.515625-53.210938 64.125-73.726563zm0 0" fill="#f6159c"/><path d="m278.664062 404.578125c-21.019531 26.8125-43.769531 51.03125-67.710937 72.421875l58.582031 33.820312c1.796875-.171874 3.582032-.375 5.367188-.585937 6.476562-33.890625 8.484375-67.097656 6.085937-98.414063-.207031-2.707031-1.050781-5.144531-2.324219-7.242187zm0 0" fill="#61b6ff"/><path d="m281.722656 450.582031c.46875-13.175781.230469-26.125-.734375-38.761719-.207031-2.707031-1.050781-5.144531-2.324219-7.242187-21.019531 26.8125-43.769531 51.027344-67.710937 72.417969l31.058594 17.933594c13.761719-13.824219 27.035156-28.621094 39.710937-44.347657zm0 0" fill="#5294e5"/><path d="m210.953125 477c-3.832031 3.417969-7.6875 6.777344-11.578125 10.050781-.078125.066407-.160156.125-.238281.1875l-10.46875 18.128907c18.226562 4.328124 37.238281 6.632812 56.789062 6.632812 8.125 0 16.15625-.40625 24.078125-1.179688zm0 0" fill="#5294e5"/><path d="m242.011719 494.929688-31.058594-17.929688c-3.832031 3.417969-7.6875 6.777344-11.578125 10.050781-.078125.066407-.160156.125-.238281.1875l-10.46875 18.132813c11.851562 2.8125 24.042969 4.753906 36.492187 5.78125 5.691406-5.25 11.3125-10.65625 16.851563-16.222656zm0 0" fill="#4374d3"/><path d="m20.21875 363.464844c.65625 1.53125 1.320312 3.058594 2.007812 4.570312l58.9375 34.03125c6.554688-31.433594 16.148438-63.242187 28.863282-94.851562-2.457032-.054688-4.988282.4375-7.433594 1.609375-28.390625 13.613281-56.207031 32.011719-82.375 54.640625zm0 0" fill="#61b6ff"/><path d="m48.453125 383.179688c15.195313-13.15625 30.90625-24.976563 46.976563-35.355469 4.300781-13.542969 9.160156-27.09375 14.597656-40.609375-2.457032-.054688-4.988282.4375-7.433594 1.609375-28.390625 13.613281-56.210938 32.011719-82.375 54.640625.65625 1.53125 1.320312 3.058594 2.007812 4.570312zm0 0" fill="#5294e5"/><path d="m67.714844 435.589844 10.488281-18.171875c.015625-.101563.023437-.199219.042969-.300781.890625-5.003907 1.867187-10.023438 2.917968-15.050782l-58.9375-34.03125c11.351563 25.054688 26.800782 47.855469 45.488282 67.554688zm0 0" fill="#5294e5"/><path d="m48.453125 383.179688-26.226563-15.144532c4.101563 9.058594 8.75 17.8125 13.882813 26.242188 4.074219-3.796875 8.1875-7.5 12.34375-11.097656zm0 0" fill="#4374d3"/><path d="m314.238281 352.113281-177.5-102.480469c-.621093-.359374-1.179687-.785156-1.683593-1.257812-29.351563 55.207031-48.792969 112.175781-58.683594 167.660156-.019532.101563-.027344.199219-.042969.300782l-10.15625 17.59375c32.867187 35.296874 76.019531 60.878906 124.699219 71.957031l10.140625-17.566407c.082031-.0625.164062-.121093.242187-.183593 43.175782-36.375 82.859375-81.789063 116.027344-134.929688-1.046875-.183593-2.078125-.535156-3.042969-1.09375zm0 0" fill="#b9e9fd"/><path d="m127.773438 461.933594c.019531-.113282.027343-.222656.046874-.335938 10.679688-59.882812 31.398438-121.332031 62.523438-181.011718l-53.605469-30.953126c-.621093-.355468-1.179687-.785156-1.6875-1.257812-29.347656 55.207031-48.789062 112.175781-58.683593 167.660156-.015626.097656-.023438.199219-.039063.300782l-10.160156 17.59375c15.523437 16.667968 33.339843 31.164062 52.949219 42.996093zm0 0" fill="#83d3fc"/><path d="m213.269531 135.804688 161.28125 93.117187c.5625.324219 1.070313.703125 1.539063 1.117187 6.910156-20.160156 12.582031-40.328124 17-60.363281 1.628906-7.363281-1.683594-14.9375-8.21875-18.707031l-108.316406-62.539062c-6.53125-3.769532-14.742188-2.851563-20.308594 2.238281-15.101563 13.808593-29.695313 28.765625-43.667969 44.777343.234375.109376.464844.226563.691406.359376zm0 0" fill="#b9e9fd"/><path d="m304.171875 117.527344c3.722656-4.097656 8.238281-6.269532 12.199219-6.109375l-39.816406-22.988281c-6.53125-3.769532-14.742188-2.855469-20.308594 2.234374-15.101563 13.808594-29.695313 28.765626-43.667969 44.78125.234375.109376.464844.226563.691406.355469l50.980469 29.433594c13.011719-16.820313 26.355469-32.757813 39.921875-47.707031zm0 0" fill="#83d3fc"/><path d="m275.289062 329.625-99.601562-57.503906-9.707031 16.8125c-3.574219 6.191406-1.433594 14.179687 4.757812 17.753906l77.089844 44.507812c6.191406 3.574219 14.179687 1.433594 17.75-4.757812zm0 0" fill="#fbb362"/><path d="m211.027344 315.214844 9.824218-17.019532-45.164062-26.074218-9.707031 16.8125c-3.574219 6.191406-1.433594 14.179687 4.757812 17.753906l37.855469 21.855469c-1.234375-3.21875-.40625-8.410157 2.433594-13.328125zm0 0" fill="#fc9949"/><path d="m380.230469 240.742188c1.785156-5.007813-.265625-10.574219-4.867188-13.230469l-161.28125-93.113281c-4.601562-2.65625-10.449219-1.652344-13.890625 2.398437-25.828125 30.394531-48.875 63.882813-68.425781 99.453125-2.875 5.230469-1.011719 11.804688 4.160156 14.792969l177.5 102.476562c5.171875 2.988281 11.796875 1.3125 14.890625-3.792969 21.773438-35.945312 39-72.796874 51.914063-108.984374zm0 0" fill="#d0f6fa"/><path d="m189.28125 270.523438c20.078125-35.996094 42.648438-70.492188 67.023438-102.433594 2.214843-2.902344 5.132812-4.613282 7.808593-4.808594l-50.03125-28.886719c-4.601562-2.65625-10.449219-1.648437-13.890625 2.398438-25.828125 30.394531-48.875 63.882812-68.425781 99.453125-2.875 5.234375-1.011719 11.808594 4.160156 14.792968l52.34375 30.222657c-1.375-2.824219-1.105469-6.941407 1.011719-10.738281zm0 0" fill="#b9e9fd"/><path d="m181.292969 354.261719c-27.785157 14.867187-55.214844 34.65625-81.152344 58.757812l91.835937 53.023438c7.90625-34.515625 11.328126-68.164063 10.308594-99.660157-.355468-11.132812-11.171875-17.378906-20.992187-12.121093zm0 0" fill="#61b6ff"/><path d="m197.75 363.761719c1.195312-1.496094 2.25-2.617188 3.15625-3.40625-3.261719-7.136719-11.753906-10.300781-19.613281-6.09375-27.785157 14.867187-55.214844 34.65625-81.152344 58.757812l43.230469 24.960938c19.121094-28.039063 37.476562-53.066407 54.378906-74.21875zm0 0" fill="#5294e5"/><path d="m80.089844 447.746094c26.0625 23.863281 57.300781 42.164062 91.839844 53.019531l20.046874-34.722656-91.835937-53.023438zm0 0" fill="#5294e5"/><path d="m143.386719 437.988281-43.246094-24.96875-20.050781 34.726563c12.355468 11.3125 25.882812 21.355468 40.363281 29.964844zm0 0" fill="#4374d3"/></svg>
\ No newline at end of file
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/Space/047-computer.svg b/src/backend/base/langflow/initial_setup/profile_pictures/Space/047-computer.svg
new file mode 100644
index 00000000000..912c33f73e7
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/Space/047-computer.svg
@@ -0,0 +1 @@
+<svg height="512pt" viewBox="-11 0 512 512" width="512pt" xmlns="http://www.w3.org/2000/svg"><path d="m475.507812 350.171875c9.375-25.96875 14.492188-53.972656 14.492188-83.171875 0-135.308594-109.691406-245-245-245s-245 109.691406-245 245c0 29.199219 5.117188 57.203125 14.492188 83.171875zm0 0" fill="#9d4ad3"/><path d="m126.890625 481.6875c35.03125 19.3125 75.28125 30.3125 118.109375 30.3125s83.078125-11 118.109375-30.3125zm0 0" fill="#4374d3"/><path d="m233.023438 511.710938c-19.453126-.9375-18.632813-30.023438.84375-30.023438h-106.976563c33.207031 18.304688 71.105469 29.136719 111.441406 30.214844-1.773437-.046875-3.542969-.105469-5.308593-.191406zm0 0" fill="#3957c9"/><path d="m475.863281 308.621094v-269.527344c0-21.589844-17.503906-39.09375-39.09375-39.09375h-383.539062c-21.589844 0-39.09375 17.503906-39.09375 39.09375v310.078125c20.6875 58.113281 62.6875 106.105469 116.597656 134.585937h228.53125c53.910156-28.480468 95.910156-76.472656 116.59375-134.585937v-40.550781zm0 0" fill="#5294e5"/><path d="m103.5625 22.023438c.867188-1.152344.808594-2.734376-.105469-3.84375-9.222656-11.203126 1.820313-18.179688 1.820313-18.179688h-52.046875c-21.589844 0-39.09375 17.503906-39.09375 39.09375v310.078125c17.304687 48.605469 49.519531 90.121094 91.140625 119.070313v-432.542969c-5.933594-5.933594-3.683594-11.0625-1.714844-13.675781zm0 0" fill="#4374d3"/><path d="m447.921875 348.925781c0-6.828125-5.535156-12.363281-12.363281-12.363281h-381.117188c-6.828125 0-12.363281 5.535156-12.363281 12.363281v55.394531c13.09375 19.3125 28.871094 36.65625 46.800781 51.496094h312.242188c17.929687-14.839844 33.707031-32.183594 46.804687-51.496094v-55.394531zm0 0" fill="#61b6ff"/><path d="m105.277344 336.5625h-50.835938c-6.828125 0-12.363281 5.535156-12.363281 12.363281v55.394531c13.09375 19.3125 28.871094 36.65625 46.800781 51.496094h16.402344v-119.253906zm0 0" fill="#5294e5"/><path d="m54.441406 280.683594h381.117188c6.828125 0 12.363281-5.535156 12.363281-12.363282v-228.015624c0-6.828126-5.535156-12.367188-12.363281-12.367188h-381.117188c-6.828125 0-12.363281 5.539062-12.363281 12.367188v228.015624c0 6.828126 5.535156 12.363282 12.363281 12.363282zm0 0" fill="#1d319b"/><path d="m105.277344 27.9375h-50.835938c-6.828125 0-12.363281 5.539062-12.363281 12.367188v228.015624c0 6.828126 5.535156 12.363282 12.363281 12.363282h50.835938zm0 0" fill="#162680"/><path d="m435.558594 27.9375h-381.117188c-6.828125 0-12.363281 5.539062-12.363281 12.367188v39.285156h405.84375v-39.285156c0-6.828126-5.535156-12.367188-12.363281-12.367188zm0 0" fill="#4374d3"/><path d="m105.277344 27.9375h-50.835938c-6.828125 0-12.363281 5.539062-12.363281 12.367188v39.28125h63.199219zm0 0" fill="#3957c9"/><path d="m439.539062 320.523438h-38.09375c-4.289062 0-7.761718-3.476563-7.761718-7.761719 0-4.289063 3.472656-7.761719 7.761718-7.761719h38.09375c4.285157 0 7.761719 3.472656 7.761719 7.761719 0 4.285156-3.476562 7.761719-7.761719 7.761719zm0 0" fill="#61b6ff"/><path d="m420.492188 65.589844h-54.765626c-4.289062 0-7.761718-3.476563-7.761718-7.761719 0-4.289063 3.472656-7.761719 7.761718-7.761719h54.765626c4.285156 0 7.761718 3.472656 7.761718 7.761719 0 4.285156-3.476562 7.761719-7.761718 7.761719zm0 0" fill="#5294e5"/><path d="m307.085938 65.589844h-125.117188c-4.285156 0-7.761719-3.476563-7.761719-7.761719 0-4.289063 3.476563-7.761719 7.761719-7.761719h125.117188c4.289062 0 7.761718 3.472656 7.761718 7.761719 0 4.285156-3.476562 7.761719-7.761718 7.761719zm0 0" fill="#5294e5"/><path d="m88.554688 320.523438h-35.503907c-4.289062 0-7.761719-3.476563-7.761719-7.761719 0-4.289063 3.472657-7.761719 7.761719-7.761719h35.503907c4.285156 0 7.761718 3.472656 7.761718 7.761719 0 4.285156-3.476562 7.761719-7.761718 7.761719zm0 0" fill="#61b6ff"/><path d="m179.496094 376.789062h42.847656v38.34375h-42.847656zm0 0" fill="#b9e9fd"/><path d="m66.34375 371.1875c-5.65625 0-10.335938-4.613281-10.335938-10.347656 0-6.59375 6.0625-11.425782 12.367188-10.152344 4.910156.996094 8.316406 5.253906 8.316406 10.152344 0 5.742187-4.679687 10.347656-10.347656 10.347656zm0 0" fill="#61b6ff"/><path d="m423.644531 371.1875c-5.734375 0-10.347656-4.703125-10.347656-10.347656 0-6.707032 6.1875-11.40625 12.375-10.152344 5.046875 1.023438 8.332031 5.421875 8.332031 10.152344 0 5.6875-4.671875 10.347656-10.359375 10.347656zm0 0" fill="#83d3fc"/><path d="m425.671875 421.394531c-6.34375-1.28125-12.367187 3.59375-12.367187 10.152344 0 3.742187 1.972656 6.949219 4.867187 8.761719 4.792969-4.789063 9.371094-9.78125 13.753906-14.949219-1.480469-1.980469-3.660156-3.4375-6.253906-3.964844zm0 0" fill="#83d3fc"/><path d="m75.347656 66.105469c-4.566406 0-8.277344-3.710938-8.277344-8.277344 0-5.335937 4.921876-9.117187 9.894532-8.121094 4.105468.878907 6.664062 4.386719 6.664062 8.121094-.003906 4.523437-3.707031 8.277344-8.28125 8.277344zm0 0" fill="#f6159c"/><path d="m104.09375 66.105469c-4.527344 0-8.277344-3.675781-8.277344-8.277344 0-4.53125 3.675782-8.277344 8.277344-8.277344 4.617188 0 8.277344 3.765625 8.277344 8.277344 0 4.539063-3.710938 8.277344-8.277344 8.277344zm0 0" fill="#fbb362"/><path d="m132.839844 66.105469c-4.492188 0-8.277344-3.648438-8.277344-8.277344 0-4.617187 3.75-8.277344 8.277344-8.277344 4.578125 0 8.277344 3.707031 8.277344 8.277344 0 2.171875-.878907 4.3125-2.421876 5.847656-1.582031 1.582031-3.726562 2.429688-5.855468 2.429688zm0 0" fill="#48d85c"/><path d="m68.375 421.394531c-4.070312-.820312-8.003906.894531-10.300781 3.960938 4.382812 5.167969 8.960937 10.164062 13.753906 14.953125 2.910156-1.828125 4.867187-5.058594 4.867187-8.761719-.003906-4.902344-3.421874-9.15625-8.320312-10.152344zm0 0" fill="#61b6ff"/><path d="m302.773438 422.894531c-4.285157 0-7.757813-3.472656-7.757813-7.761719v-38.34375c0-4.289062 3.472656-7.761718 7.757813-7.761718 4.289062 0 7.761718 3.472656 7.761718 7.761718v38.34375c0 4.289063-3.472656 7.761719-7.761718 7.761719zm0 0" fill="#48d85c"/><path d="m341.753906 422.894531c-4.289062 0-7.761718-3.472656-7.761718-7.761719v-38.34375c0-4.289062 3.472656-7.761718 7.761718-7.761718 4.285156 0 7.757813 3.472656 7.757813 7.761718v38.34375c0 4.289063-3.472657 7.761719-7.757813 7.761719zm0 0" fill="#f948b4"/><path d="m380.730469 422.894531c-4.289063 0-7.761719-3.472656-7.761719-7.761719v-38.34375c0-4.289062 3.472656-7.761718 7.761719-7.761718 4.285156 0 7.757812 3.472656 7.757812 7.761718v38.34375c0 4.289063-3.472656 7.761719-7.757812 7.761719zm0 0" fill="#fbb362"/><path d="m387.28125 392.441406h-13.191406c-4.289063 0-7.761719-3.476562-7.761719-7.761718 0-4.289063 3.472656-7.761719 7.761719-7.761719h13.191406c4.289062 0 7.761719 3.472656 7.761719 7.761719 0 4.285156-3.472657 7.761718-7.761719 7.761718zm0 0" fill="#face7a"/><path d="m348.347656 403.949219h-13.191406c-4.289062 0-7.761719-3.472657-7.761719-7.757813 0-4.289062 3.472657-7.761718 7.761719-7.761718h13.191406c4.289063 0 7.761719 3.472656 7.761719 7.761718 0 4.285156-3.472656 7.757813-7.761719 7.757813zm0 0" fill="#f6159c"/><path d="m309.371094 415.003906h-13.191406c-4.289063 0-7.761719-3.476562-7.761719-7.761718 0-4.289063 3.472656-7.761719 7.761719-7.761719h13.191406c4.285156 0 7.761718 3.472656 7.761718 7.761719 0 4.285156-3.476562 7.761718-7.761718 7.761718zm0 0" fill="#a2ec00"/><path d="m375.851562 125.964844h-31.023437c-4.285156 0-7.761719-3.472656-7.761719-7.761719 0-4.285156 3.476563-7.757813 7.761719-7.757813h31.023437c4.289063 0 7.761719 3.472657 7.761719 7.757813 0 4.289063-3.472656 7.761719-7.761719 7.761719zm0 0" fill="#4374d3"/><path d="m360.339844 118.203125c0-4.285156 3.476562-7.757813 7.761718-7.757813h-23.273437c-4.285156 0-7.761719 3.472657-7.761719 7.757813 0 4.289063 3.476563 7.761719 7.761719 7.761719h23.273437c-4.285156 0-7.761718-3.472656-7.761718-7.761719zm0 0" fill="#3957c9"/><g fill="#4374d3"><path d="m406.878906 156.628906h-62.050781c-4.285156 0-7.761719-3.472656-7.761719-7.761718 0-4.285157 3.476563-7.757813 7.761719-7.757813h62.050781c4.285156 0 7.757813 3.472656 7.757813 7.757813 0 4.289062-3.472657 7.761718-7.757813 7.761718zm0 0"/><path d="m406.878906 187.296875h-62.050781c-4.285156 0-7.761719-3.476563-7.761719-7.761719 0-4.289062 3.476563-7.761718 7.761719-7.761718h62.050781c4.285156 0 7.757813 3.472656 7.757813 7.761718 0 4.285156-3.472657 7.761719-7.757813 7.761719zm0 0"/><path d="m406.878906 217.960938h-62.050781c-4.285156 0-7.761719-3.476563-7.761719-7.761719 0-4.289063 3.476563-7.761719 7.761719-7.761719h62.050781c4.285156 0 7.757813 3.472656 7.757813 7.761719 0 4.285156-3.472657 7.761719-7.757813 7.761719zm0 0"/><path d="m406.878906 248.625h-62.050781c-4.285156 0-7.761719-3.476562-7.761719-7.761719 0-4.289062 3.476563-7.761719 7.761719-7.761719h62.050781c4.285156 0 7.757813 3.472657 7.757813 7.761719 0 4.285157-3.472657 7.761719-7.757813 7.761719zm0 0"/></g><path d="m375.851562 148.871094c0-4.289063 3.476563-7.761719 7.761719-7.761719h-38.785156c-4.285156 0-7.761719 3.472656-7.761719 7.761719 0 4.285156 3.476563 7.761718 7.761719 7.761718h38.785156c-4.285156-.003906-7.761719-3.476562-7.761719-7.761718zm0 0" fill="#3957c9"/><path d="m375.851562 179.535156c0-4.289062 3.476563-7.761718 7.761719-7.761718h-38.785156c-4.285156 0-7.761719 3.472656-7.761719 7.761718 0 4.285156 3.476563 7.761719 7.761719 7.761719h38.785156c-4.285156 0-7.761719-3.476563-7.761719-7.761719zm0 0" fill="#3957c9"/><path d="m375.851562 210.199219c0-4.289063 3.476563-7.761719 7.761719-7.761719h-38.785156c-4.285156 0-7.761719 3.472656-7.761719 7.761719 0 4.285156 3.476563 7.761719 7.761719 7.761719h38.785156c-4.285156 0-7.761719-3.476563-7.761719-7.761719zm0 0" fill="#3957c9"/><path d="m375.851562 240.863281c0-4.289062 3.476563-7.761719 7.761719-7.761719h-38.785156c-4.285156 0-7.761719 3.472657-7.761719 7.761719 0 4.285157 3.476563 7.761719 7.761719 7.761719h38.785156c-4.285156 0-7.761719-3.476562-7.761719-7.761719zm0 0" fill="#3957c9"/><path d="m123.714844 236.445312c-8.824219 0-14.996094-2.96875-18.398438-8.859374-7.058594-12.222657 4.601563-25.335938 8.433594-29.644532 6.878906-7.734375 17.277344-16.640625 30.074219-25.753906 5.273437-3.753906 12.585937-2.527344 16.339843 2.746094 3.757813 5.273437 2.527344 12.589844-2.746093 16.34375-13.25 9.4375-21.253907 16.832031-25.800781 21.855468 4.351562 1.25 7.761718 4.972657 8.386718 9.746094.835938 6.417969-3.6875 12.300782-10.101562 13.136719-2.1875.285156-4.253906.429687-6.1875.429687zm0 0" fill="#c78fe8"/><path d="m206 161.332031c-4.429688 0-8.664062-2.523437-10.644531-6.804687-2.714844-5.871094-.15625-12.835938 5.71875-15.554688 14.589843-6.746094 27.792969-11.476562 38.1875-13.683594 6.324219-1.347656 12.550781 2.699219 13.894531 9.027344 1.34375 6.332032-2.699219 12.554688-9.027344 13.898438-8.582031 1.820312-20.382812 6.09375-33.21875 12.03125-1.59375.734375-3.265625 1.085937-4.910156 1.085937zm0 0" fill="#c78fe8"/><path d="m225.957031 155.378906c-12.695312-21.988281-40.808593-29.523437-62.796875-16.828125-21.988281 12.695313-29.523437 40.8125-16.828125 62.800781 12.695313 21.988282 40.8125 29.519532 62.800781 16.824219 21.988282-12.695312 29.519532-40.808593 16.824219-62.796875zm0 0" fill="#f948b4"/><path d="m223.539062 198.285156c-17.191406 9.925782-39.171874 4.035156-49.097656-13.15625-9.925781-17.191406-4.035156-39.171875 13.15625-49.097656 2.101563-1.214844 4.28125-2.1875 6.496094-2.9375-10.265625-1.808594-21.199219-.15625-30.929688 5.460938-21.988281 12.695312-29.523437 40.8125-16.828124 62.800781 12.695312 21.988281 40.8125 29.523437 62.800781 16.828125 9.730469-5.621094 16.625-14.261719 20.195312-24.054688-1.757812 1.542969-3.6875 2.941406-5.792969 4.15625zm0 0" fill="#f6159c"/><path d="m128.367188 236.117188c-5.792969 0-10.832032-4.300782-11.601563-10.203126-.839844-6.414062 3.679687-12.296874 10.097656-13.136718 13.964844-1.824219 39.101563-12.308594 64.046875-26.710938 26.011719-15.019531 42.902344-28.792968 51.332032-37.609375-5.652344.246094-10.800782-3.574219-12.011719-9.273437-1.339844-6.332032 2.703125-12.550782 9.035156-13.894532 5.753906-1.222656 23.265625-4.9375 30.398437 7.414063 7.652344 13.257813-5.898437 28.054687-16.753906 38.027344-12.46875 11.453125-30.324218 24.109375-50.28125 35.632812-28.246094 16.304688-55.433594 27.390625-72.726562 29.652344-.515625.066406-1.027344.101563-1.535156.101563zm0 0" fill="#dcb1f3"/><path d="m435.558594 288.445312h-381.117188c-11.097656 0-20.125-9.03125-20.125-20.128906v-228.011718c0-11.097657 9.027344-20.125 20.125-20.125h381.117188c11.097656 0 20.125 9.027343 20.125 20.125v228.015624c0 11.097657-9.027344 20.125-20.125 20.125zm-381.117188-252.746093c-2.539062 0-4.601562 2.066406-4.601562 4.605469v228.015624c0 2.535157 2.0625 4.601563 4.601562 4.601563h381.117188c2.539062 0 4.601562-2.066406 4.601562-4.601563v-228.015624c0-2.539063-2.0625-4.605469-4.601562-4.605469zm0 0" fill="#61b6ff"/><path d="m251.128906 415.132812h-30.816406v-38.34375h30.816406c4.15625 0 7.527344 3.371094 7.527344 7.527344v23.289063c0 4.15625-3.371094 7.527343-7.527344 7.527343zm0 0" fill="#83d3fc"/><path d="m140.664062 376.789062h41.304688v38.34375h-41.304688zm0 0" fill="#83d3fc"/><path d="m143.621094 415.132812h-30.8125c-4.160156 0-7.53125-3.371093-7.53125-7.527343v-23.289063c0-4.15625 3.371094-7.527344 7.53125-7.527344h30.8125zm0 0" fill="#b9e9fd"/><path d="m105.277344 272.921875h-50.835938c-2.539062 0-4.601562-2.066406-4.601562-4.601563v-228.015624c0-2.539063 2.0625-4.605469 4.601562-4.605469h50.835938c-5.929688-5.933594-3.683594-11.0625-1.714844-13.675781.414062-.550782.609375-1.199219.609375-1.84375h-49.730469c-11.097656 0-20.125 9.027343-20.125 20.125v228.015624c0 11.097657 9.027344 20.125 20.125 20.125h50.835938c-10.101563-7.65625 0-15.523437 0-15.523437zm0 0" fill="#5294e5"/></svg>
\ No newline at end of file
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/Space/048-satellite.svg b/src/backend/base/langflow/initial_setup/profile_pictures/Space/048-satellite.svg
new file mode 100644
index 00000000000..1f0bfb9c15a
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/Space/048-satellite.svg
@@ -0,0 +1 @@
+<svg height="511pt" viewBox="-10 0 511 511.9923" width="511pt" xmlns="http://www.w3.org/2000/svg"><path d="m452.132812 398.667969c24.285157-38.03125 38.363282-83.210938 38.363282-131.675781 0-135.3125-109.691406-245-245-245s-245 109.6875-245 245c0 .917968.023437 1.832031.035156 2.75zm0 0" fill="#162680"/><path d="m77.429688 445.242188c43.871093 41.378906 103 66.75 168.066406 66.75s124.195312-25.371094 168.066406-66.75zm0 0" fill="#a2ec00"/><path d="m221.40625 445.242188h-143.976562c37.335937 35.214843 85.726562 58.824218 139.421874 65.078124-40.132812-5.164062-36.273437-65.078124 4.554688-65.078124zm0 0" fill="#00c82f"/><path d="m41.945312 243.898438c5.464844 1.929687 11.082032 2.5 16.488282 1.890624v28.996094h-26.707032v-36.402344c3.058594 2.332032 6.492188 4.199219 10.21875 5.515626zm0 0" fill="#83d3fc"/><path d="m51.734375 256.242188h-13.308594c-3.699219 0-6.699219-3-6.699219-6.703126v25.246094h26.707032v-25.246094c0 3.703126-3 6.703126-6.699219 6.703126zm0 0" fill="#61b6ff"/><path d="m89.488281 222.140625c1.464844-4.148437-.714843-8.703125-4.863281-10.164063-4.152344-1.464843-8.703125.710938-10.164062 4.863282-3.914063 11.089844-16.121094 16.933594-27.210938 13.019531-11.117188-3.921875-16.945312-16.089844-13.023438-27.207031 1.464844-4.152344-.710937-8.703125-4.863281-10.167969-4.148437-1.460937-8.699219.714844-10.164062 4.867187-6.851563 19.421876 3.320312 40.6875 22.746093 47.539063 19.378907 6.832031 40.707032-3.371094 47.542969-22.75zm0 0" fill="#e0f9fe"/><path d="m118.050781 284.035156c0-1.570312-.167969-3.097656-.484375-4.574218h101.316406c3.425782 0 6.53125-1.378907 8.792969-3.609376v28.929688h-124.460937c8.621094-2.957031 14.835937-11.136719 14.835937-20.746094zm0 0" fill="#5294e5"/><path d="m163.65625 279.460938h-46.089844c.316406 1.472656.484375 3.003906.484375 4.574218 0 9.609375-6.214843 17.789063-14.835937 20.742188h60.441406zm0 0" fill="#4374d3"/><path d="m146.941406 199.886719v33.519531h25.074219v-33.53125c-7.941406 3.335938-17.011719 3.40625-25.074219.011719zm0 0" fill="#b9e9fd"/><path d="m159.308594 214.027344h.277344c5.609374-.019532 10.433593 3.292968 12.429687 8.121094v-22.273438c-7.941406 3.335938-17.011719 3.40625-25.078125.011719v22.265625c1.992188-4.816406 6.792969-8.144532 12.371094-8.125zm0 0" fill="#83d3fc"/><path d="m131.441406 39.210938c-19.007812 38.167968-15.777344 79.375 5.722656 110.667968 11.4375-10.675781 29.300782-11.390625 41.585938-1.078125 11.910156 9.992188 14.527344 26.933594 6.921875 39.910157 33.523437 13.394531 72.59375 8.777343 105.453125-15.507813zm0 0" fill="#5294e5"/><path d="m178.902344 79.035156-47.460938-39.824218c-19.007812 38.167968-15.777344 79.375 5.722656 110.667968 9.480469-8.847656 23.375-10.84375 34.851563-5.398437-12.949219-38.855469 6.398437-64.640625 6.398437-64.640625zm0 0" fill="#4374d3"/><path d="m159.46875 41.0625c-4.34375 0-8.035156-3.332031-8.398438-7.742188-.386718-4.644531 3.066407-8.71875 7.710938-9.105468l122.015625-10.09375c4.636719-.390625 8.722656 3.070312 9.105469 7.714844.386718 4.644531-3.066406 8.722656-7.714844 9.105468l-122.015625 10.09375c-.234375.019532-.472656.027344-.703125.027344zm0 0" fill="#b9e9fd"/><path d="m213.960938 27.964844c-.285157-3.472656 1.273437-6.667969 3.855468-8.632813l-59.035156 4.886719c-4.644531.382812-8.097656 4.460938-7.714844 9.105469.367188 4.40625 4.058594 7.742187 8.402344 7.742187.230469 0 .46875-.011718.703125-.03125l59.558594-4.925781c-3.152344-1.421875-5.464844-4.457031-5.769531-8.144531zm0 0" fill="#83d3fc"/><path d="m284.335938 145.21875-11.246094-121.910156c-.425782-4.640625 2.988281-8.75 7.628906-9.179688 4.652344-.421875 8.75 2.988282 9.175781 7.628906l11.246094 121.914063c.429687 4.640625-2.984375 8.75-7.625 9.175781-4.632813.425782-8.75-2.976562-9.179687-7.628906zm0 0" fill="#b9e9fd"/><path d="m301.140625 143.671875-5.464844-59.261719c-1.230469 3.183594-4.167969 5.566406-7.792969 5.902344-3.851562.355469-7.371093-1.703125-9.066406-4.933594l5.519532 59.84375c.429687 4.648438 4.546874 8.050782 9.179687 7.628906 4.640625-.429687 8.054687-4.539062 7.625-9.179687zm0 0" fill="#83d3fc"/><path d="m220.683594 95c-3.570313-2.996094-4.035156-8.316406-1.039063-11.886719l55.71875-66.402343c2.996094-3.570313 8.316407-4.039063 11.886719-1.039063 3.570312 2.992187 4.039062 8.316406 1.042969 11.886719l-55.71875 66.402344c-2.980469 3.550781-8.304688 4.050781-11.890625 1.039062zm0 0" fill="#e0f9fe"/><path d="m247.703125 62.546875c-2.664063-2.234375-3.835937-5.585937-3.421875-8.796875l-24.636719 29.363281c-2.996093 3.570313-2.53125 8.890625 1.039063 11.886719 3.585937 3.011719 8.910156 2.511719 11.890625-1.039062l24.984375-29.777344c-3.222656 1.242187-7.007813.753906-9.855469-1.636719zm0 0" fill="#b9e9fd"/><path d="m296.726562 3.738281c-6.75-5.664062-16.816406-4.785156-22.480468 1.964844-5.667969 6.753906-4.785156 16.816406 1.964844 22.484375 6.75 5.664062 16.816406 4.785156 22.480468-1.96875 5.667969-6.75 4.785156-16.816406-1.964844-22.480469zm0 0" fill="#fc7acd"/><path d="m300.121094 16.164062c-3.496094 4.167969-9.703125 4.710938-13.871094 1.214844-4.164062-3.496094-4.707031-9.703125-1.214844-13.871094 1.316406-1.566406 3.015625-2.621093 4.847656-3.140624-5.613281-1.222657-11.695312.621093-15.640624 5.324218-5.667969 6.753906-4.785157 16.816406 1.964843 22.484375 6.753907 5.664063 16.820313 4.785157 22.484375-1.96875 3.304688-3.9375 4.367188-9 3.347656-13.664062-.367187 1.289062-1 2.527343-1.917968 3.621093zm0 0" fill="#f948b4"/><path d="m180.25 147.195312c-13.675781-11.476562-34.0625-9.691406-45.535156 3.980469-11.476563 13.675781-9.695313 34.0625 3.980468 45.539063 13.675782 11.472656 34.0625 9.691406 45.535157-3.984375 11.476562-13.671875 9.695312-34.0625-3.980469-45.535157zm0 0" fill="#e0f9fe"/><path d="m177.292969 232.09375h-35.628907c-6.925781 0-12.535156 5.613281-12.535156 12.535156 0 6.925782 5.613282 12.539063 12.535156 12.539063h35.628907c6.921875 0 12.535156-5.613281 12.535156-12.539063.003906-6.921875-5.613281-12.535156-12.535156-12.535156zm0 0" fill="#e0f9fe"/><path d="m157.484375 244.628906c0-6.921875 5.613281-12.539062 12.539063-12.539062h-28.359376c-6.925781 0-12.539062 5.617187-12.539062 12.539062 0 6.925782 5.613281 12.539063 12.539062 12.539063h28.359376c-6.925782 0-12.539063-5.613281-12.539063-12.539063zm0 0" fill="#b9e9fd"/><path d="m292.21875 175.332031-163.066406-136.828125c-5.304688-4.453125-6-12.363281-1.546875-17.664062 4.453125-5.304688 12.359375-5.996094 17.664062-1.546875l163.070313 136.832031c5.304687 4.449219 5.996094 12.359375 1.542968 17.664062-4.449218 5.304688-12.359374 5.996094-17.664062 1.542969zm0 0" fill="#61b6ff"/><path d="m308.339844 156.121094-23.277344-19.527344c-5.160156-2.144531-11.324219-.820312-15.105469 3.691406-3.78125 4.507813-4.019531 10.804688-1.011719 15.515625l23.273438 19.53125c5.304688 4.453125 13.214844 3.757813 17.664062-1.542969 4.453126-5.308593 3.761719-13.214843-1.542968-17.667968zm0 0" fill="#83d3fc"/><path d="m181.292969 65.882812c3.371093-4.015624 8.394531-5.816406 13.242187-5.253906l-49.265625-41.335937c-5.304687-4.453125-13.210937-3.761719-17.664062 1.542969-4.449219 5.304687-3.757813 13.214843 1.546875 17.664062l49.265625 41.335938c-1.398438-4.671876-.496094-9.933594 2.875-13.953126zm0 0" fill="#5294e5"/><path d="m96.125 262.105469c-1.589844 0-3.140625.175781-4.636719.496093 2.15625-3.796874 6.226563-6.359374 10.902344-6.359374h116.488281c6.925782 0 12.539063 5.613281 12.539063 12.535156 0 6.925781-5.613281 12.539062-12.539063 12.539062h-101c-1.34375-10.8125-10.582031-19.210937-21.753906-19.210937zm0 0" fill="#b9e9fd"/><path d="m163.203125 256.242188h-60.808594c-4.675781 0-8.75 2.566406-10.90625 6.359374 1.496094-.320312 3.046875-.496093 4.636719-.496093 11.171875 0 20.410156 8.398437 21.753906 19.210937h45.324219c-5.238281-1.761718-9.015625-6.703125-9.015625-12.539062-.003906-5.832032 3.777344-10.773438 9.015625-12.535156zm0 0" fill="#83d3fc"/><path d="m172.328125 201.601562c-17.957031-2.347656-12.851563-17.125-12.851563-17.125l4.058594-24.394531c-6.589844-14.679687 7.632813-18.265625 7.640625-18.269531-12.546875-4.871094-27.324219-1.527344-36.457031 9.355469-11.476562 13.675781-9.691406 34.0625 3.980469 45.539062 9.695312 8.132813 22.757812 9.597657 33.628906 4.894531zm0 0" fill="#b9e9fd"/><path d="m167.53125 162.351562c-5.304688-4.453124-13.210938-3.761718-17.664062 1.542969-4.449219 5.304688-3.757813 13.210938 1.546874 17.664063 5.304688 4.449218 13.210938 3.757812 17.664063-1.546875 4.449219-5.300781 3.757813-13.210938-1.546875-17.660157zm0 0" fill="#83d3fc"/><path d="m67.054688 434.855469h169.707031c2.332031-11.507813 4.46875-20.011719 13.351562-28.6875v-30.671875h-224.320312c10.796875 21.824218 24.75 41.808594 41.261719 59.359375zm0 0" fill="#4374d3"/><path d="m54.832031 413.339844v-37.84375h-29.039062c8.394531 16.964844 18.703125 32.8125 30.628906 47.273437-1.023437-2.957031-1.589844-6.128906-1.589844-9.429687zm0 0" fill="#3957c9"/><path d="m64.292969 431.886719c8.78125 9.640625 18.324219 18.570312 28.527343 26.707031h144.078126c-1.242188-4.3125-1.898438-8.777344-1.898438-13.351562 0-4.578126.65625-9.042969 1.898438-13.355469zm0 0" fill="#e0f9fe"/><path d="m96.125 305.960938c-12.09375 0-21.929688-9.835938-21.929688-21.925782 0-5.734375 2.214844-10.957031 5.828126-14.867187h-79.5c.332031 38.15625 9.386718 74.230469 25.269531 106.328125h224.320312v-72.695313h-142.65625c-3.3125 2.003907-7.1875 3.160157-11.332031 3.160157zm0 0" fill="#5294e5"/><path d="m54.832031 296.125c0-12.175781 7.597657-22.65625 18.277344-26.957031h-72.585937c.332031 38.15625 9.386718 74.226562 25.269531 106.324219h29.039062zm0 0" fill="#4374d3"/><g fill="#61b6ff"><path d="m215.875 355.214844c4.097656 0 7.417969-3.320313 7.417969-7.417969v-16.703125c0-4.097656-3.320313-7.421875-7.417969-7.421875-4.101562 0-7.421875 3.324219-7.421875 7.421875v16.703125c0 4.09375 3.320313 7.417969 7.421875 7.417969zm0 0"/><path d="m187.664062 355.214844c4.097657 0 7.417969-3.320313 7.417969-7.417969v-16.703125c0-4.097656-3.320312-7.421875-7.417969-7.421875-4.101562 0-7.421874 3.324219-7.421874 7.421875v16.703125c0 4.09375 3.320312 7.417969 7.421874 7.417969zm0 0"/><path d="m159.449219 355.214844c4.097656 0 7.417969-3.320313 7.417969-7.417969v-16.703125c0-4.097656-3.320313-7.421875-7.417969-7.421875-4.097657 0-7.417969 3.324219-7.417969 7.421875v16.703125c0 4.09375 3.320312 7.417969 7.417969 7.417969zm0 0"/><path d="m129.875 343.460938c5.425781 0 9.890625-4.433594 9.890625-9.890626 0-6.296874-5.796875-10.925781-11.820313-9.703124-4.714843.953124-7.964843 5.054687-7.964843 9.703124.003906 5.53125 4.539062 9.890626 9.894531 9.890626zm0 0"/><path d="m100.574219 343.457031c5.40625 0 9.894531-4.417969 9.894531-9.894531 0-4.546875-3.171875-8.730469-7.964844-9.703125-5.984375-1.195313-11.820312 3.375-11.820312 9.703125 0 5.449219 4.4375 9.894531 9.890625 9.894531zm0 0"/></g><path d="m116.398438 272.320312c-6.464844-11.195312-20.785157-15.035156-31.984376-8.566406-11.195312 6.464844-15.03125 20.78125-8.566406 31.980469 6.464844 11.195313 20.78125 15.03125 31.980469 8.566406 11.195313-6.464843 15.035156-20.78125 8.570313-31.980469zm0 0" fill="#83d3fc"/><path d="m84.417969 263.757812c-11.199219 6.464844-15.035157 20.785157-8.570313 31.984376 6.464844 11.195312 20.785156 15.03125 31.984375 8.566406-8.972656-2.402344-6.761719-11.707032-6.761719-11.707032l-9.890624-17.132812c-9.589844-2.570312-6.761719-11.710938-6.761719-11.710938zm0 0" fill="#61b6ff"/><path d="m101.070312 292.601562c-4.679687 2.703126-10.773437 1.121094-13.511718-3.621093-2.273438-3.9375-1.621094-9.148438 2.042968-12.386719 4.585938-4.027344 11.925782-2.988281 15.089844 2.496094 2.726563 4.71875 1.105469 10.785156-3.621094 13.511718zm0 0" fill="#5294e5"/><path d="m263.871094 215.117188h41.195312c26.882813 0 50.980469 16.574218 60.601563 41.671874l12.082031 31.519532c8.703125 15.746094 22.78125 27.835937 39.664062 34.054687.121094.046875.242188.089844.363282.136719 18.246094 6.828125 30.179687 24.46875 30.179687 43.953125v67.414063h-83.28125c-6.183593-29.605469-32.476562-53.890626-63.890625-53.890626-21.59375 0-40.765625 10.550782-52.652344 26.757813v-175.882813c0-8.6875 7.046876-15.734374 15.738282-15.734374zm0 0" fill="#f948b4"/><path d="m313.574219 363.433594v-132.582032c0-5.828124 3.179687-10.902343 7.886719-13.621093-5.273438-1.378907-10.773438-2.113281-16.394532-2.113281h-41.199218c-8.6875 0-15.734376 7.046874-15.734376 15.734374v175.882813c11.886719-16.210937 31.058594-26.761719 52.652344-26.761719 6.179688 0 12.15625.953125 17.824219 2.691406-3.179687-5.851562-5.035156-12.472656-5.035156-19.230468zm0 0" fill="#f6159c"/><path d="m300.789062 343.386719h15.339844c4.097656 0 7.421875-3.320313 7.421875-7.417969s-3.324219-7.421875-7.421875-7.421875h-15.339844c-4.101562 0-7.421874 3.324219-7.421874 7.421875s3.320312 7.417969 7.421874 7.417969zm0 0" fill="#fc7acd"/><path d="m304.652344 290.316406h-12.9375c-3.980469 0-7.207032-3.226562-7.207032-7.207031v-32.269531c0-2.972656 2.414063-5.386719 5.386719-5.386719h70.09375c2.230469 3.542969 4.140625 7.328125 5.679688 11.335937l12.082031 31.519532c5.359375 9.699218 12.769531 18.003906 21.609375 24.414062h-76.953125c-3.121094 0-5.890625-2.011718-6.855469-4.980468l-4.042969-12.445313c-.964843-2.96875-3.730468-4.980469-6.855468-4.980469zm0 0" fill="#61b6ff"/><path d="m284.511719 250.839844v32.269531c0 3.980469 3.226562 7.207031 7.207031 7.207031h12.9375c3.121094 0 5.886719 2.011719 6.851562 4.980469l2.070313 6.363281v-56.207031h-23.683594c-2.972656 0-5.382812 2.414063-5.382812 5.386719zm0 0" fill="#5294e5"/><path d="m419.257812 389.128906h31.171876c6.53125 0 11.871093 5.339844 11.871093 11.871094v19.015625c0 6.527344-5.339843 11.871094-11.871093 11.871094h-31.171876c-6.527343 0-11.871093-5.34375-11.871093-11.871094v-19.015625c0-6.53125 5.34375-11.871094 11.871093-11.871094zm0 0" fill="#ffade5"/><path d="m434.84375 420.015625v-19.019531c0-6.527344 5.34375-11.871094 11.871094-11.871094h-27.457032c-6.527343 0-11.871093 5.34375-11.871093 11.871094v19.019531c0 6.527344 5.34375 11.871094 11.871093 11.871094h27.457032c-6.527344 0-11.871094-5.34375-11.871094-11.871094zm0 0" fill="#fc7acd"/><path d="m366.054688 445.242188c0-4.578126-.480469-9.042969-1.378907-13.355469h84.269531c7.375 0 13.355469 5.980469 13.355469 13.355469s-5.980469 13.351562-13.355469 13.351562h-84.269531c.898438-4.3125 1.378907-8.777344 1.378907-13.351562zm0 0" fill="#e0f9fe"/><path d="m367.539062 445.242188c0 36.863281-29.886718 66.75-66.75 66.75-36.867187 0-66.75-29.886719-66.75-66.75 0-36.867188 29.882813-66.75 66.75-66.75 36.863282 0 66.75 29.882812 66.75 66.75zm0 0" fill="#4374d3"/><path d="m315.929688 478.382812c.582031-2.257812-.636719-4.566406-2.78125-5.488281-7.671876-3.300781-7.527344-10.238281-6.710938-14.210937.367188-1.765625-.300781-3.546875-1.679688-4.707032-6.128906-5.15625-6.753906-13.683593-6.617187-18.066406.050781-1.683594-.839844-3.226562-2.257813-4.140625-7.335937-4.742187-5.757812-11.648437-3.867187-15.761719.917969-1.992187.296875-4.382812-1.472656-5.679687-17.230469-12.636719-2.4375-30.320313-2.140625-30.671875-30.945313 5.808594-54.367188 32.953125-54.367188 65.585938 0 36.863281 29.886719 66.75 66.75 66.75 11.238282 0 21.820313-2.789063 31.113282-7.695313-18.230469-6.40625-17.6875-19.253906-15.96875-25.914063zm0 0" fill="#3957c9"/><path d="m334.164062 445.242188c0 18.429687-14.945312 33.375-33.375 33.375-18.433593 0-33.375-14.945313-33.375-33.375 0-18.433594 14.941407-33.375 33.375-33.375 18.429688 0 33.375 14.941406 33.375 33.375zm0 0" fill="#e0f9fe"/><path d="m313.148438 472.894531c-7.671876-3.300781-7.527344-10.238281-6.710938-14.210937.367188-1.765625-.300781-3.546875-1.679688-4.707032-6.128906-5.15625-6.753906-13.683593-6.617187-18.066406.050781-1.683594-.839844-3.226562-2.257813-4.140625-7.335937-4.742187-5.757812-11.648437-3.867187-15.761719.453125-.980468.527344-2.054687.28125-3.046874-14.320313 3.753906-24.886719 16.78125-24.886719 32.28125 0 18.429687 14.941406 33.375 33.375 33.375 5.3125 0 10.328125-1.246094 14.785156-3.453126-.496093-.988281-1.339843-1.804687-2.421874-2.269531zm0 0" fill="#83d3fc"/><path d="m300.78125 457.605469c6.835938 0 12.375-5.570313 12.375-12.363281 0-6.425782-4.933594-11.699219-11.15625-12.304688-7.246094-.71875-13.582031 5.011719-13.582031 12.304688 0 6.8125 5.5625 12.363281 12.363281 12.363281zm0 0" fill="#83d3fc"/><path d="m288.417969 445.242188c0 6.816406 5.5625 12.363281 12.363281 12.363281 1.988281 0 3.859375-.480469 5.523438-1.316407-.277344-.882812-.804688-1.691406-1.546876-2.3125-6.128906-5.15625-6.753906-13.683593-6.617187-18.066406.027344-.921875-.234375-1.796875-.703125-2.554687-5.144531 1.460937-9.019531 6.1875-9.019531 11.886719zm0 0" fill="#61b6ff"/><path d="m434.84375 226.398438c-7.355469 0-13.574219-5.980469-13.574219-13.574219 0-6.308594 4.355469-11.964844 10.914063-13.316407 8.25-1.652343 16.234375 4.648438 16.234375 13.316407 0 7.460937-6.074219 13.574219-13.574219 13.574219zm0 0" fill="#4374d3"/><path d="m377.71875 111.386719c-7.355469 0-13.574219-5.980469-13.574219-13.574219 0-6.304688 4.355469-11.964844 10.914063-13.316406 8.25-1.652344 16.234375 4.648437 16.234375 13.316406 0 7.460938-6.074219 13.574219-13.574219 13.574219zm0 0" fill="#fadda0"/><path d="m367.539062 190.128906c-5.695312 0-10.183593-4.644531-10.183593-10.179687 0-4.671875 3.21875-8.941407 8.199219-9.976563 6.167968-1.246094 12.164062 3.480469 12.164062 9.976563 0 5.695312-4.636719 10.179687-10.179688 10.179687zm0 0" fill="#fd7e31"/><path d="m55.863281 237.007812c0-2.460937.972657-4.6875 2.550781-6.335937-3.613281.710937-7.449218.5-11.164062-.8125-11.117188-3.921875-16.945312-16.089844-13.023438-27.207031 1.464844-4.152344-.710937-8.703125-4.863281-10.167969-4.148437-1.460937-8.699219.714844-10.164062 4.867187-6.851563 19.421876 3.320312 40.6875 22.746093 47.539063 7.046876 2.484375 14.34375 2.707031 21.113282 1.066406-4.113282-.902343-7.195313-4.566406-7.195313-8.949219zm0 0" fill="#b9e9fd"/></svg>
\ No newline at end of file
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/Space/049-astronaut.svg b/src/backend/base/langflow/initial_setup/profile_pictures/Space/049-astronaut.svg
new file mode 100644
index 00000000000..c9c582d8e89
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/Space/049-astronaut.svg
@@ -0,0 +1 @@
+<svg height="512pt" viewBox="-11 0 512 512.00032" width="512pt" xmlns="http://www.w3.org/2000/svg"><path d="m429.6875 427.976562c37.558594-43.054687 60.3125-99.355468 60.3125-160.976562 0-135.3125-109.691406-245-245-245s-245 109.691406-245 245c0 61.621094 22.753906 117.921875 60.3125 160.976562zm0 0" fill="#f6159c"/><path d="m292.492188 387.652344c-14.53125-3.386719-26.25-14.359375-30.582032-28.632813l-29.609375-97.542969c-29.386719-7.144531-51.28125-33.667968-51.28125-65.222656 0-37.019531 30.117188-67.132812 67.132813-67.132812 13.605468 0 26.269531 4.078125 36.859375 11.0625l132.613281-62.269532c-42.175781-47.683593-103.757812-77.796874-172.394531-77.914062-126.792969-.210938-230.558594 102.960938-231.039063 229.753906-.191406 50.871094 16.09375 97.925782 43.816406 136.148438 11.132813 15.347656 17.421876 33.652344 17.671876 52.589844.007812 0 .015624-.003907.023437-.003907h338.269531v-3.273437c-1.949218.027344-4.042968-.195313-6.273437-.714844zm0 0" fill="#e0f9fe"/><path d="m241.039062 295.097656 1.429688-.125-10.167969-33.496094c-29.386719-7.144531-51.28125-33.667968-51.28125-65.222656 0-27.890625 17.101563-51.855468 41.363281-61.980468l-1.1875-1.046876c-89.753906-40.246093-47.980468-121.164062-47.589843-121.914062-92.035157 30.054688-159.027344 116.621094-159.414063 218.441406-.191406 50.871094 16.09375 97.925782 43.816406 136.148438 143.636719 46.625 183.03125-70.804688 183.03125-70.804688zm0 0" fill="#b9e9fd"/><path d="m446.542969 110.996094c-.507813.289062-1.027344.5625-1.570313.8125l-133.609375 61.851562c2.53125 7.0625 3.921875 14.667969 3.921875 22.59375 0 27.746094-16.921875 51.617188-40.984375 61.832032l26.894531 88.601562.234376.769531 116.183593 28c4.390625 1.058594 7.765625 3.132813 10.238281 5.773438 16.546876-22.777344 34.570313-60.628907 42.996094-104.601563 8.175782-42.675781 9.957032-104.683594-24.304687-165.632812zm0 0" fill="#1d319b"/><path d="m390.507812 220.847656c-54-18-29.855468-68.457031-29.855468-68.457031l4.921875-3.828125-54.210938 25.097656c2.53125 7.0625 3.921875 14.667969 3.921875 22.59375 0 27.75-16.921875 51.617188-40.984375 61.832032l26.894531 88.601562.234376.769531 112.429687 27.097657c-64.554687-50.640626 21.386719-138.792969-23.351563-153.707032zm0 0" fill="#162680"/><path d="m328.066406 321.777344-.257812-.851563-25.726563-84.746093c-7.101562 9.566406-16.679687 17.191406-27.78125 21.90625l26.894531 88.601562.234376.765625 116.179687 28.003906c4.394531 1.058594 7.765625 3.132813 10.238281 5.773438.0625-.082031.121094-.167969.183594-.253907 10.316406-14.257812 2.742188-34.441406-14.363281-38.566406zm0 0" fill="#4374d3"/><path d="m306.417969 285.890625c4.585937 0 8.792969 1.632813 12.074219 4.34375l-16.410157-54.054687c-7.101562 9.566406-16.679687 17.191406-27.78125 21.90625l13.375 44.054687c1.316407-9.179687 9.191407-16.25 18.742188-16.25zm0 0" fill="#3957c9"/><path d="m417.941406 374.09375-115.402344-27.816406-26.949218-88.777344c-8.382813 3.769531-17.664063 5.886719-27.4375 5.886719-6.03125 0-11.875-.8125-17.441406-2.3125l29.855468 98.351562c4.480469 14.753907 16.589844 26.09375 31.605469 29.59375l115.210937 26.84375c29.355469 6.855469 37.6875-35.230469 10.558594-41.769531zm0 0" fill="#61b6ff"/><path d="m271.132812 292.332031c6.695313 0 12.757813 2.695313 17.171876 7.058594l-12.714844-41.890625c-8.382813 3.769531-17.664063 5.886719-27.4375 5.886719-6.03125 0-11.875-.8125-17.441406-2.3125l16.121093 53.109375c1.292969-12.28125 11.675781-21.851563 24.300781-21.851563zm0 0" fill="#5294e5"/><path d="m418.148438 76.117188-134.535157 63.171874c13.121094 8.195313 23.207031 20.792969 28.203125 35.707032l133.742188-61.910156c24.761718-11.464844 11.328125-55.15625-27.410156-36.96875zm0 0" fill="#61b6ff"/><path d="m338.308594 142.5c-7.207032-10.574219-4.859375-22.867188 2.816406-30.214844l-57.507812 27.003906c13.117187 8.195313 23.207031 20.789063 28.199218 35.707032l48.835938-22.605469c-8.535156 1.183594-17.277344-2.457031-22.34375-9.890625zm0 0" fill="#5294e5"/><path d="m73.652344 416.988281c-6.550782 0-12.105469 4.210938-14.144532 10.066407 6.042969 6.996093 12.480469 13.636718 19.265626 19.90625h332.453124c6.984376-6.453126 13.589844-13.300782 19.785157-20.519532-2.203125-5.535156-7.597657-9.453125-13.917969-9.453125zm0 0" fill="#b9e9fd"/><path d="m218.800781 416.988281h-145.148437c-6.550782 0-12.105469 4.210938-14.144532 10.066407 6.042969 6.996093 12.480469 13.636718 19.265626 19.90625h137.546874c.328126-1.757813-.058593-3.621094-1.183593-5.128907-11.578125-15.515625 3.664062-24.84375 3.664062-24.84375zm0 0" fill="#83d3fc"/><g fill="#face7a"><path d="m368.441406 79.488281c-5.175781 0-9.359375-4.214843-9.359375-9.355469 0-5.925781 5.441407-10.324218 11.191407-9.171874 4.554687.9375 7.523437 4.878906 7.523437 9.171874 0 5.179688-4.203125 9.355469-9.355469 9.355469zm0 0"/><path d="m328.574219 97.632812c-5.128907-1.039062-8.359375-6.007812-7.34375-11.003906 1.0625-5.238281 6.105469-8.332031 11.003906-7.34375 4.496094.917969 7.53125 4.824219 7.53125 9.171875 0 5.9375-5.488281 10.332031-11.191406 9.175781zm0 0"/><path d="m292.359375 116.136719c-5.183594 0-9.355469-4.246094-9.355469-9.359375 0-5.964844 5.484375-10.320313 11.191406-9.171875 4.171876.78125 7.523438 4.574219 7.523438 9.171875 0 5.144531-4.171875 9.359375-9.359375 9.359375zm0 0"/></g><path d="m316.6875 196.253906c0 37.851563-30.683594 68.535156-68.535156 68.535156-37.851563 0-68.535156-30.683593-68.535156-68.535156 0-37.851562 30.683593-68.535156 68.535156-68.535156 37.851562 0 68.535156 30.683594 68.535156 68.535156zm0 0" fill="#e0f9fe"/><path d="m179.617188 196.253906c0 37.851563 30.683593 68.535156 68.535156 68.535156 5.820312 0 11.472656-.730468 16.867187-2.097656-.332031-.351562-.714843-.660156-1.152343-.886718-13.925782-7.144532-11.035157-18.367188-8.460938-23.898438.816406-1.757812.339844-3.832031-1.144531-5.074219-3.117188-2.609375-2.96875-6.089843-2.261719-8.605469.511719-1.832031-.363281-3.738281-1.980469-4.746093-5.0625-3.148438-3.285156-7.9375-2.320312-9.808594.308593-.59375.453125-1.253906.453125-1.917969v-50.804687l-26.953125-23.71875c-24.449219 10.46875-41.582031 34.742187-41.582031 63.023437zm0 0" fill="#b9e9fd"/><path d="m280.441406 196.253906c0 17.832032-14.457031 32.289063-32.289062 32.289063-17.832032 0-32.285156-14.457031-32.285156-32.289063 0-17.832031 14.453124-32.285156 32.285156-32.285156 17.832031 0 32.289062 14.453125 32.289062 32.285156zm0 0" fill="#5294e5"/><path d="m248.152344 235.558594c-21.671875 0-39.304688-17.632813-39.304688-39.304688s17.632813-39.304687 39.304688-39.304687 39.308594 17.632812 39.308594 39.304687-17.636719 39.304688-39.308594 39.304688zm0-64.574219c-13.933594 0-25.265625 11.335937-25.265625 25.269531s11.335937 25.269532 25.265625 25.269532c13.933594 0 25.269531-11.335938 25.269531-25.269532s-11.335937-25.269531-25.269531-25.269531zm0 0" fill="#83d3fc"/><path d="m248.152344 235.558594c2.542968 0 5.027344-.25 7.4375-.714844-.238282-.761719-.683594-1.46875-1.328125-2.011719-3.117188-2.609375-2.96875-6.089843-2.265625-8.605469.285156-1.019531.132812-2.058593-.332032-2.953124-1.148437.160156-2.320312.246093-3.511718.246093-13.933594 0-25.265625-11.332031-25.265625-25.265625s11.332031-25.269531 25.265625-25.269531v-14.035156c-21.671875 0-39.304688 17.632812-39.304688 39.304687s17.632813 39.304688 39.304688 39.304688zm0 0" fill="#61b6ff"/><path d="m248.152344 208.886719c-6.976563 0-12.632813-5.65625-12.632813-12.632813v-67.132812c0-6.976563 5.65625-12.632813 12.632813-12.632813 6.976562 0 12.632812 5.65625 12.632812 12.632813v67.132812c0 6.976563-5.65625 12.632813-12.632812 12.632813zm0 0" fill="#83d3fc"/><path d="m248.152344 169.570312c-6.976563 0-12.632813-5.65625-12.632813-12.632812v39.316406c0 6.976563 5.65625 12.632813 12.632813 12.632813 6.976562 0 12.632812-5.65625 12.632812-12.632813v-39.316406c0 6.976562-5.65625 12.632812-12.632812 12.632812zm0 0" fill="#61b6ff"/><path d="m412.234375 446.027344h-334.46875c12.042969 11.253906 25.21875 21.3125 39.34375 29.972656h255.78125c14.125-8.660156 27.300781-18.71875 39.34375-29.972656zm0 0" fill="#83d3fc"/><path d="m216.417969 446.027344h-138.652344c12.042969 11.253906 25.21875 21.3125 39.34375 29.972656h102.535156c-.277343-.3125-.542969-.632812-.84375-.933594-11.246093-11.246094-7.5-20.402344-3.75-25.257812.863281-1.121094 1.3125-2.445313 1.367188-3.78125zm0 0" fill="#61b6ff"/><path d="m245 512c47.503906 0 91.839844-13.535156 129.386719-36.933594h-258.773438c37.550781 23.398438 81.882813 36.933594 129.386719 36.933594zm0 0" fill="#1d319b"/><path d="m218.800781 475.066406h-103.1875c29.925781 18.652344 64.167969 31.023438 100.886719 35.28125-21.894531-2.730468-19.890625-35.28125 2.300781-35.28125zm0 0" fill="#162680"/></svg>
\ No newline at end of file
diff --git a/src/backend/base/langflow/initial_setup/profile_pictures/Space/050-space robot.svg b/src/backend/base/langflow/initial_setup/profile_pictures/Space/050-space robot.svg
new file mode 100644
index 00000000000..13d034c4735
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/profile_pictures/Space/050-space robot.svg	
@@ -0,0 +1 @@
+<svg height="512pt" viewBox="0 0 512 512" width="512pt" xmlns="http://www.w3.org/2000/svg"><path d="m476.816406 342.550781c.480469-.132812.945313-.253906 1.421875-.386719 7.625-23.6875 11.765625-48.941406 11.765625-75.164062-.003906-135.308594-109.695312-245-245.003906-245s-245 109.691406-245 245c0 22.21875 2.976562 43.742188 8.519531 64.207031 8.949219 3.316407 221.4375 80.328125 468.296875 11.34375zm0 0" fill="#a2ec00"/><path d="m39.8125 381.230469 42.691406 69.101562c43.242188 38.363281 100.140625 61.667969 162.496094 61.667969 94.054688 0 175.714844-53.007812 216.777344-130.769531zm0 0" fill="#1d319b"/><path d="m321.558594 381.230469h-281.746094l42.691406 69.101562c43.242188 38.363281 100.140625 61.667969 162.496094 61.667969 20.519531 0 40.445312-2.523438 59.492188-7.277344-53.386719-24.242187-46.378907-113.152344 17.066406-123.492187zm0 0" fill="#162680"/><path d="m63.316406 352.792969h67.617188v55.59375h-67.617188zm0 0" fill="#5294e5"/><path d="m216.84375 151.769531h26.675781v101.640625h-26.675781zm0 0" fill="#e0f9fe"/><path d="m230.183594 225.15625c-6.171875 0-11.40625-3.957031-13.339844-9.464844v37.714844h26.675781v-37.714844c-1.933593 5.511719-7.167969 9.464844-13.335937 9.464844zm0 0" fill="#b9e9fd"/><path d="m209.828125 129.933594 7.015625 23.46875h26.675781l7.015625-23.46875zm0 0" fill="#83d3fc"/><path d="m248.78125 131.453125h-37.671875c-6.546875 0-11.851563-5.304687-11.851563-11.851563 0-6.546874 5.304688-11.851562 11.851563-11.851562h37.671875c6.546875 0 11.851562 5.304688 11.851562 11.851562 0 6.546876-5.304687 11.851563-11.851562 11.851563zm0 0" fill="#e0f9fe"/><path d="m229.945312 119.601562c0-6.546874 5.308594-11.851562 11.851563-11.851562h-30.6875c-6.546875 0-11.851563 5.304688-11.851563 11.851562 0 6.546876 5.304688 11.851563 11.851563 11.851563h30.6875c-6.542969 0-11.851563-5.304687-11.851563-11.851563zm0 0" fill="#b9e9fd"/><path d="m185.554688 280.21875v-15.808594c0-7.054687 5.375-12.824218 11.949218-12.824218h65.359375c6.570313 0 11.949219 5.769531 11.949219 12.824218v15.808594zm0 0" fill="#61b6ff"/><path d="m242.132812 251.585938h-44.628906c-6.574218 0-11.949218 5.769531-11.949218 12.824218v15.808594h44.628906v-15.808594c0-7.054687 5.375-12.824218 11.949218-12.824218zm0 0" fill="#5294e5"/><path d="m330.941406 264.921875v15.296875h-26.675781v-15.296875c0-7.367187 5.972656-13.335937 13.335937-13.335937 7.367188 0 13.339844 5.96875 13.339844 13.335937zm0 0" fill="#fc7acd"/><path d="m317.601562 271.34375c-6.167968 0-11.339843-4.195312-12.867187-9.878906-.296875 1.101562-.46875 2.257812-.46875 3.457031v15.296875h26.675781v-15.296875c0-1.199219-.171875-2.355469-.46875-3.457031-1.527344 5.683594-6.703125 9.878906-12.871094 9.878906zm0 0" fill="#f948b4"/><path d="m113.679688 278.183594h233.007812c9.140625 0 16.554688 7.414062 16.554688 16.554687v71.636719c-3.089844 4.957031-5.644532 10.273438-7.597657 15.878906-2.582031 1.664063-5.652343 2.644532-8.957031 2.644532-3.832031 0-52.992188 0-105.84375 0-10.046875-32.484376-40.363281-56.152344-76.105469-56.152344h-67.613281c0-13.121094 0-26.074219 0-34.003906 0-9.144532 7.410156-16.558594 16.554688-16.558594zm0 0" fill="#5294e5"/><path d="m163.480469 278.183594h-49.800781c-9.144532 0-16.554688 7.414062-16.554688 16.554687v34.003907h49.800781c0-13.121094 0-26.070313 0-34.003907 0-9.140625 7.410157-16.554687 16.554688-16.554687zm0 0" fill="#4374d3"/><path d="m126.265625 352.792969h38.472656c30.652344 0 55.59375 24.9375 55.59375 55.59375 0 6.265625 4.820313 11.421875 10.945313 11.96875-5.65625 31.628906-33.28125 55.644531-66.539063 55.644531-37.34375 0-67.613281-30.273438-67.613281-67.617188 0-23.042968 11.535156-43.382812 29.140625-55.589843zm0 0" fill="#4374d3"/><path d="m177.742188 442.507812c.671874-2.039062.027343-4.273437-1.636719-5.628906-6.003907-4.90625-5.886719-11.226562-5.078125-15.023437.414062-1.953125-.351563-4.003907-1.984375-5.15625-7.425781-5.226563-8.136719-12.527344-7.769531-16.863281.175781-2.109376-.914063-4.089844-2.78125-5.089844-7.285157-3.910156-6.710938-10.558594-5.390626-14.777344.683594-2.179688-.132812-4.585938-2.0625-5.808594-8.34375-5.28125-6.949218-13.019531-5.414062-17.101562.53125-1.417969.394531-2.960938-.304688-4.265625h-19.054687c-17.605469 12.207031-29.140625 32.546875-29.140625 55.59375 0 37.339843 30.269531 67.613281 67.613281 67.613281 10.175781 0 19.820313-2.257812 28.476563-6.285156-19.894532-5.773438-17.714844-20.417969-15.472656-27.207032zm0 0" fill="#3957c9"/><path d="m375.265625 408.382812c0-30.652343 24.9375-55.589843 55.589844-55.589843 30.65625 0 55.59375 24.9375 55.59375 55.589843 0 6.269532 4.820312 11.421876 10.945312 11.972657-5.652343 31.628906-33.28125 55.644531-66.539062 55.644531-33.253907 0-60.882813-24.015625-66.535157-55.644531 6.125-.546875 10.945313-5.703125 10.945313-11.972657zm0 0" fill="#4374d3"/><path d="m461.765625 468.519531c-17.269531-6.351562-16.769531-19.640625-15.132813-26.589843.585938-2.484376-.640624-4.996094-2.878906-6.21875-6.820312-3.738282-7.167968-9.71875-6.523437-13.566407.363281-2.167969-.597657-4.335937-2.425781-5.5625-6.984376-4.683593-8.039063-11.921875-7.9375-16.34375.050781-2.136719-1.164063-4.140625-3.097657-5.0625-6.828125-3.265625-6.597656-10.011719-5.550781-14.441406.574219-2.414063-.53125-4.863281-2.652344-6.152344-5.753906-3.503906-6.433594-8.484375-5.992187-12.039062.222656-1.808594-.402344-3.566407-1.640625-4.78125-19.246094 8.746093-32.667969 28.140625-32.667969 50.625 0 6.265625-4.820313 11.421875-10.949219 11.96875 5.65625 31.628906 33.285156 55.644531 66.539063 55.644531 11.144531 0 21.648437-2.707031 30.910156-7.480469zm0 0" fill="#3957c9"/><path d="m67.984375 352.792969h-38.476563c-4.625 0-9.121093.578125-13.421874 1.648437 2.667968 6.980469 5.644531 13.808594 8.917968 20.464844l33.363282 50.761719c7.464843 8.773437 15.523437 17.03125 24.144531 24.675781 9.140625-11.53125 14.613281-26.101562 14.613281-41.957031 0-23.046875-11.539062-43.386719-29.140625-55.59375zm0 0" fill="#3957c9"/><path d="m198.546875 408.382812c0 18.671876-15.136719 33.808594-33.808594 33.808594s-33.808593-15.136718-33.808593-33.808594c0-18.671874 15.136718-33.808593 33.808593-33.808593s33.808594 15.136719 33.808594 33.808593zm0 0" fill="#e0f9fe"/><path d="m164.738281 442.191406c4.640625 0 9.0625-.9375 13.089844-2.628906-.273437-1.03125-.855469-1.976562-1.722656-2.683594-6.003907-4.90625-5.886719-11.226562-5.078125-15.023437.414062-1.953125-.351563-4.003907-1.984375-5.15625-7.425781-5.226563-8.136719-12.527344-7.769531-16.863281.175781-2.109376-.914063-4.089844-2.78125-5.089844-7.285157-3.910156-6.710938-10.558594-5.390626-14.777344.347657-1.105469.304688-2.269531-.070312-3.308594-12.902344 4.765625-22.101562 17.167969-22.101562 31.722656.003906 18.671876 15.136718 33.808594 33.808593 33.808594zm0 0" fill="#83d3fc"/><path d="m464.664062 408.382812c0 18.671876-15.136718 33.808594-33.808593 33.808594s-33.804688-15.136718-33.804688-33.808594c0-18.671874 15.132813-33.808593 33.804688-33.808593s33.808593 15.136719 33.808593 33.808593zm0 0" fill="#e0f9fe"/><path d="m397.050781 408.382812c0 18.671876 15.132813 33.808594 33.804688 33.808594 5.566406 0 10.808593-1.351562 15.4375-3.730468-.503907-1.140626-1.382813-2.117188-2.539063-2.75-6.820312-3.738282-7.167968-9.71875-6.523437-13.566407.363281-2.167969-.597657-4.335937-2.425781-5.5625-6.984376-4.683593-8.039063-11.921875-7.9375-16.34375.050781-2.136719-1.164063-4.140625-3.097657-5.0625-6.828125-3.265625-6.597656-10.011719-5.550781-14.441406.292969-1.234375.140625-2.472656-.351562-3.566406-12.222657 5.089843-20.816407 17.148437-20.816407 31.214843zm0 0" fill="#83d3fc"/><path d="m330.941406 331.539062c0 18.671876-15.136718 33.808594-33.808594 33.808594-18.671874 0-33.808593-15.136718-33.808593-33.808594 0-18.667968 15.136719-33.804687 33.808593-33.804687 18.671876 0 33.808594 15.136719 33.808594 33.804687zm0 0" fill="#4374d3"/><path d="m263.324219 331.539062c0 18.675782 15.136719 33.808594 33.808593 33.808594 7.585938 0 14.582032-2.496094 20.222657-6.710937l.058593-.042969-20.28125-28.746094c-14.949218-14.949218 0-32.113281 0-32.113281-18.667968 0-33.808593 15.136719-33.808593 33.804687zm0 0" fill="#3957c9"/><path d="m430.859375 420.90625c-6.832031 0-12.523437-5.519531-12.523437-12.523438 0-7.410156 6.386718-13.1875 13.757812-12.46875 6.410156.644532 11.292969 6.074219 11.292969 12.46875 0 6.890626-5.609375 12.523438-12.527344 12.523438zm0 0" fill="#61b6ff"/><path d="m164.738281 420.90625c-6.898437 0-12.523437-5.621094-12.523437-12.523438 0-7.519531 6.539062-13.1875 13.757812-12.46875 6.402344.644532 11.292969 6.039063 11.292969 12.46875 0 6.863282-5.585937 12.523438-12.527344 12.523438zm0 0" fill="#61b6ff"/><path d="m29.507812 374.578125c-1.53125 0-3.039062.109375-4.519531.308594 9.039063 18.398437 20.320313 35.496093 33.484375 50.941406 3.074219-5.09375 4.84375-11.0625 4.84375-17.441406 0-18.671875-15.136718-33.808594-33.808594-33.808594zm0 0" fill="#83d3fc"/><path d="m285.367188 324.867188c3.683593-6.496094 11.941406-8.777344 18.441406-5.09375l66.066406 37.464843c-5.792969 6.898438-10.441406 14.78125-13.648438 23.367188l-65.765624-37.296875c-6.5-3.6875-8.78125-11.941406-5.09375-18.441406zm0 0" fill="#83d3fc"/><path d="m331.917969 335.714844c3.855469 4.128906 5.109375 10.597656 1.453125 16.933594-3.042969 5.269531-8.996094 7.816406-14.640625 6.691406l37.496093 21.261718c3.207032-8.582031 7.851563-16.464843 13.644532-23.363281zm0 0" fill="#61b6ff"/><path d="m235.582031 325.527344h-39.410156c-4.152344 0-7.515625-3.363282-7.515625-7.515625 0-4.152344 3.363281-7.515625 7.515625-7.515625h39.410156c4.152344 0 7.515625 3.363281 7.515625 7.515625 0 4.152343-3.363281 7.515625-7.515625 7.515625zm0 0" fill="#4374d3"/><path d="m214.152344 318.011719c0-4.152344 3.367187-7.515625 7.515625-7.515625h-25.5c-4.148438 0-7.515625 3.363281-7.515625 7.515625 0 4.152343 3.367187 7.515625 7.515625 7.515625h25.5c-4.148438 0-7.515625-3.363282-7.515625-7.515625zm0 0" fill="#3957c9"/><path d="m363.242188 421.910156c7.472656 0 13.527343-6.054687 13.527343-13.523437 0-29.824219 24.261719-54.089844 54.085938-54.089844 29.828125 0 54.089843 24.261719 54.089843 54.089844 0 7.46875 6.054688 13.523437 13.527344 13.523437s13.527344-6.054687 13.527344-13.523437c0-44.742188-36.398438-81.144531-81.144531-81.144531-44.742188 0-81.140625 36.398437-81.140625 81.144531 0 7.46875 6.054687 13.523437 13.527344 13.523437zm0 0" fill="#e0f9fe"/><path d="m408.878906 358.980469c-.570312-1.011719-1.449218-1.84375-2.574218-2.339844-15.085938-6.652344-7.863282-22.378906-7.71875-22.6875-28.726563 12.503906-48.871094 41.152344-48.871094 74.429687 0 7.472657 6.054687 13.527344 13.527344 13.527344 7.472656 0 13.527343-6.054687 13.527343-13.527344 0-22 13.210938-40.960937 32.109375-49.402343zm0 0" fill="#83d3fc"/><path d="m164.738281 327.242188h-135.230469c-7.367187 0-14.5 1.003906-21.289062 2.851562 2.335938 8.792969 5.144531 17.390625 8.40625 25.765625 4.132812-1.011719 8.445312-1.5625 12.882812-1.5625h135.230469c29.824219 0 54.089844 24.261719 54.089844 54.089844 0 7.46875 6.054687 13.523437 13.527344 13.523437 7.472656 0 13.527343-6.054687 13.527343-13.523437 0-44.746094-36.402343-81.144531-81.144531-81.144531zm0 0" fill="#e0f9fe"/><path d="m144.726562 351.898438c-6.769531-8.152344-5.328124-14.863282-2.71875-19.214844 1.066407-1.777344.917969-3.871094-.097656-5.441406h-112.402344c-7.367187 0-14.5 1.003906-21.289062 2.855468 2.335938 8.789063 5.144531 17.390625 8.40625 25.761719 4.132812-1.011719 8.445312-1.5625 12.882812-1.5625h116.351563c-.164063-.867187-.546875-1.695313-1.132813-2.398437zm0 0" fill="#83d3fc"/><path d="m274.8125 22.59375v-10.644531c0-6.570313-5.378906-11.949219-11.949219-11.949219h-65.359375c-6.574218 0-11.949218 5.378906-11.949218 11.949219v10.644531zm0 0" fill="#61b6ff"/><path d="m230.644531 0h-33.140625c-6.574218 0-11.949218 5.378906-11.949218 11.949219v10.644531h33.140624v-10.644531c0-6.570313 5.378907-11.949219 11.949219-11.949219zm0 0" fill="#5294e5"/><path d="m158.644531 109.753906h143.074219c4.585938 0 8.335938-3.75 8.335938-8.335937v-72.492188c0-4.585937-3.75-8.335937-8.335938-8.335937h-143.074219c-4.582031 0-8.332031 3.753906-8.332031 8.335937v72.492188c0 4.585937 3.75 8.335937 8.332031 8.335937zm0 0" fill="#5294e5"/><path d="m210.976562 101.417969v-72.492188c0-4.585937 3.75-8.335937 8.335938-8.335937h-60.667969c-4.582031 0-8.332031 3.75-8.332031 8.335937v72.492188c0 4.585937 3.75 8.335937 8.332031 8.335937h60.667969c-4.585938 0-8.335938-3.75-8.335938-8.335937zm0 0" fill="#4374d3"/><path d="m282.054688 54.355469c-5.976563-10.347657-19.203126-13.890625-29.550782-7.917969s-13.890625 19.203125-7.917968 29.546875c5.972656 10.347656 19.203124 13.890625 29.550781 7.917969 10.34375-5.972656 13.890625-19.203125 7.917969-29.546875zm0 0" fill="#83d3fc"/><path d="m269.855469 79.972656c.152343-1.609375-.457031-3.207031-1.714844-4.21875-8.3125-6.683594-10.816406-15.816406-11.5625-20.222656-.261719-1.546875-1.332031-2.800781-2.753906-3.457031-2.054688-.949219-3.382813-2.222657-4.226563-3.589844-8.035156 6.597656-10.371094 18.207031-5.003906 27.503906 5.351562 9.273438 16.527344 13.058594 26.242188 9.449219-1.011719-1.90625-1.125-3.925781-.980469-5.464844zm0 0" fill="#61b6ff"/><path d="m277.898438 90.414062c-13.917969 8.035157-31.78125 3.25-39.816407-10.667968-8.035156-13.917969-3.25-31.78125 10.671875-39.816406 13.917969-8.035157 31.777344-3.25 39.8125 10.667968 8.039063 13.917969 3.253906 31.78125-10.667968 39.816406zm-21.628907-37.46875c-6.742187 3.894532-9.0625 12.542969-5.167969 19.285157 3.890626 6.742187 12.542969 9.058593 19.285157 5.167969 6.742187-3.890626 9.058593-12.542969 5.167969-19.285157-3.894532-6.742187-12.546876-9.058593-19.285157-5.167969zm0 0" fill="#e0f9fe"/><path d="m238.085938 79.746094c8.035156 13.917968 25.894531 18.703125 39.816406 10.667968-7.574219-2.027343-8.34375-7.265624-8.046875-10.445312.070312-.742188-.03125-1.480469-.273438-2.160156-6.609375 3.277344-14.742187.902344-18.480469-5.578125-3.753906-6.5-1.71875-14.757813 4.46875-18.832031-.46875-.554688-1.0625-1.007813-1.746093-1.324219-7.9375-3.667969-5.070313-12.144531-5.070313-12.144531-13.921875 8.035156-18.707031 25.898437-10.667968 39.816406zm0 0" fill="#b9e9fd"/><path d="m215.769531 54.355469c-5.976562-10.347657-19.203125-13.890625-29.550781-7.917969s-13.890625 19.203125-7.917969 29.546875c5.972657 10.347656 19.203125 13.894531 29.550781 7.917969 10.34375-5.972656 13.890626-19.203125 7.917969-29.546875zm0 0" fill="#83d3fc"/><path d="m203.570312 79.972656c.148438-1.609375-.460937-3.207031-1.71875-4.21875-8.308593-6.683594-10.816406-15.816406-11.5625-20.222656-.261718-1.546875-1.328124-2.800781-2.75-3.457031-2.058593-.949219-3.386718-2.222657-4.230468-3.589844-8.03125 6.597656-10.371094 18.207031-5.003906 27.503906 5.355468 9.273438 16.53125 13.058594 26.242187 9.449219-1.007813-1.90625-1.121094-3.925781-.976563-5.464844zm0 0" fill="#61b6ff"/><path d="m211.613281 90.414062c-13.917969 8.035157-31.78125 3.25-39.816406-10.667968-8.035156-13.917969-3.25-31.78125 10.667969-39.816406 13.917968-8.035157 31.78125-3.25 39.816406 10.667968 8.035156 13.917969 3.25 31.78125-10.667969 39.816406zm-21.632812-37.46875c-6.742188 3.894532-9.058594 12.542969-5.167969 19.285157 3.894531 6.742187 12.542969 9.058593 19.285156 5.167969 6.742188-3.890626 9.058594-12.542969 5.167969-19.285157-3.890625-6.742187-12.542969-9.058593-19.285156-5.167969zm0 0" fill="#e0f9fe"/><path d="m171.796875 79.746094c8.035156 13.917968 25.898437 18.703125 39.816406 10.667968-7.574219-2.027343-8.339843-7.265624-8.042969-10.445312.070313-.742188-.03125-1.480469-.273437-2.160156-6.613281 3.277344-14.742187.902344-18.484375-5.578125-3.75-6.5-1.71875-14.757813 4.472656-18.832031-.46875-.554688-1.066406-1.007813-1.746094-1.324219-7.941406-3.667969-5.074218-12.144531-5.074218-12.144531-13.917969 8.035156-18.703125 25.898437-10.667969 39.816406zm0 0" fill="#b9e9fd"/></svg>
\ No newline at end of file
diff --git a/src/backend/base/langflow/initial_setup/setup.py b/src/backend/base/langflow/initial_setup/setup.py
new file mode 100644
index 00000000000..af4347e90c8
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/setup.py
@@ -0,0 +1,604 @@
+import copy
+import json
+import os
+import shutil
+from collections import defaultdict
+from copy import deepcopy
+from datetime import datetime, timezone
+from pathlib import Path
+from typing import Awaitable
+from uuid import UUID
+
+import orjson
+from emoji import demojize, purely_emoji  # type: ignore
+from loguru import logger
+from sqlmodel import select
+
+from langflow.base.constants import FIELD_FORMAT_ATTRIBUTES, NODE_FORMAT_ATTRIBUTES, ORJSON_OPTIONS
+from langflow.graph.graph.base import Graph
+from langflow.services.auth.utils import create_super_user
+from langflow.services.database.models.flow.model import Flow, FlowCreate
+from langflow.services.database.models.folder.model import Folder, FolderCreate
+from langflow.services.database.models.folder.utils import create_default_folder_if_it_doesnt_exist
+from langflow.services.database.models.user.crud import get_user_by_username
+from langflow.services.deps import get_settings_service, get_storage_service, get_variable_service, session_scope
+from langflow.template.field.prompt import DEFAULT_PROMPT_INTUT_TYPES
+
+STARTER_FOLDER_NAME = "Starter Projects"
+STARTER_FOLDER_DESCRIPTION = "Starter projects to help you get started in Langflow."
+
+# In the folder ./starter_projects we have a few JSON files that represent
+# starter projects. We want to load these into the database so that users
+# can use them as a starting point for their own projects.
+
+
+def update_projects_components_with_latest_component_versions(project_data, all_types_dict):
+    # project data has a nodes key, which is a list of nodes
+    # we want to run through each node and see if it exists in the all_types_dict
+    # if so, we go into  the template key and also get the template from all_types_dict
+    # and update it all
+    node_changes_log = defaultdict(list)
+    project_data_copy = deepcopy(project_data)
+    for node in project_data_copy.get("nodes", []):
+        node_data = node.get("data").get("node")
+        if node_data.get("display_name") in all_types_dict:
+            latest_node = all_types_dict.get(node_data.get("display_name"))
+            latest_template = latest_node.get("template")
+            node_data["template"]["code"] = latest_template["code"]
+
+            if "outputs" in latest_node:
+                node_data["outputs"] = latest_node["outputs"]
+            if node_data["template"]["_type"] != latest_template["_type"]:
+                node_data["template"]["_type"] = latest_template["_type"]
+                if node_data.get("display_name") != "Prompt":
+                    node_data["template"] = latest_template
+                else:
+                    for key, value in latest_template.items():
+                        if key not in node_data["template"]:
+                            node_changes_log[node_data["display_name"]].append(
+                                {
+                                    "attr": key,
+                                    "old_value": None,
+                                    "new_value": value,
+                                }
+                            )
+                            node_data["template"][key] = value
+                        elif isinstance(value, dict) and value.get("value"):
+                            node_changes_log[node_data["display_name"]].append(
+                                {
+                                    "attr": key,
+                                    "old_value": node_data["template"][key],
+                                    "new_value": value,
+                                }
+                            )
+                            node_data["template"][key]["value"] = value["value"]
+                    for key, value in node_data["template"].items():
+                        if key not in latest_template:
+                            node_data["template"][key]["input_types"] = DEFAULT_PROMPT_INTUT_TYPES
+                node_changes_log[node_data["display_name"]].append(
+                    {
+                        "attr": "_type",
+                        "old_value": node_data["template"]["_type"],
+                        "new_value": latest_template["_type"],
+                    }
+                )
+            else:
+                for attr in NODE_FORMAT_ATTRIBUTES:
+                    if attr in latest_node:
+                        # Check if it needs to be updated
+                        if latest_node[attr] != node_data.get(attr):
+                            node_changes_log[node_data["display_name"]].append(
+                                {
+                                    "attr": attr,
+                                    "old_value": node_data.get(attr),
+                                    "new_value": latest_node[attr],
+                                }
+                            )
+                            node_data[attr] = latest_node[attr]
+
+                for field_name, field_dict in latest_template.items():
+                    if field_name not in node_data["template"]:
+                        continue
+                    # The idea here is to update some attributes of the field
+                    for attr in FIELD_FORMAT_ATTRIBUTES:
+                        if attr in field_dict and attr in node_data["template"].get(field_name):
+                            # Check if it needs to be updated
+                            if field_dict[attr] != node_data["template"][field_name][attr]:
+                                node_changes_log[node_data["display_name"]].append(
+                                    {
+                                        "attr": f"{field_name}.{attr}",
+                                        "old_value": node_data["template"][field_name][attr],
+                                        "new_value": field_dict[attr],
+                                    }
+                                )
+                                node_data["template"][field_name][attr] = field_dict[attr]
+                            node_data["template"][field_name][attr] = field_dict[attr]
+            # Remove fields that are not in the latest template
+            if node_data.get("display_name") != "Prompt":
+                for field_name in list(node_data["template"].keys()):
+                    if field_name not in latest_template:
+                        node_data["template"].pop(field_name)
+    log_node_changes(node_changes_log)
+    return project_data_copy
+
+
+def scape_json_parse(json_string: str) -> dict:
+    if isinstance(json_string, dict):
+        return json_string
+    parsed_string = json_string.replace("œ", '"')
+    return json.loads(parsed_string)
+
+
+def update_new_output(data):
+    nodes = copy.deepcopy(data["nodes"])
+    edges = copy.deepcopy(data["edges"])
+
+    for edge in edges:
+        if "sourceHandle" in edge and "targetHandle" in edge:
+            new_source_handle = scape_json_parse(edge["sourceHandle"])
+            new_target_handle = scape_json_parse(edge["targetHandle"])
+            _id = new_source_handle["id"]
+            source_node_index = next((index for (index, d) in enumerate(nodes) if d["id"] == _id), -1)
+            source_node = nodes[source_node_index] if source_node_index != -1 else None
+
+            if "baseClasses" in new_source_handle:
+                if "output_types" not in new_source_handle:
+                    if source_node and "node" in source_node["data"] and "output_types" in source_node["data"]["node"]:
+                        new_source_handle["output_types"] = source_node["data"]["node"]["output_types"]
+                    else:
+                        new_source_handle["output_types"] = new_source_handle["baseClasses"]
+                del new_source_handle["baseClasses"]
+
+            if "inputTypes" in new_target_handle and new_target_handle["inputTypes"]:
+                intersection = [
+                    type_ for type_ in new_source_handle["output_types"] if type_ in new_target_handle["inputTypes"]
+                ]
+            else:
+                intersection = [
+                    type_ for type_ in new_source_handle["output_types"] if type_ == new_target_handle["type"]
+                ]
+
+            selected = intersection[0] if intersection else None
+            if "name" not in new_source_handle:
+                new_source_handle["name"] = " | ".join(new_source_handle["output_types"])
+            new_source_handle["output_types"] = [selected] if selected else []
+
+            if source_node and not source_node["data"]["node"].get("outputs"):
+                if "outputs" not in source_node["data"]["node"]:
+                    source_node["data"]["node"]["outputs"] = []
+                types = source_node["data"]["node"].get(
+                    "output_types", source_node["data"]["node"].get("base_classes", [])
+                )
+                if not any(output.get("selected") == selected for output in source_node["data"]["node"]["outputs"]):
+                    source_node["data"]["node"]["outputs"].append(
+                        {
+                            "types": types,
+                            "selected": selected,
+                            "name": " | ".join(types),
+                            "display_name": " | ".join(types),
+                        }
+                    )
+            deduplicated_outputs = []
+            if source_node is None:
+                source_node = {"data": {"node": {"outputs": []}}}
+
+            for output in source_node["data"]["node"]["outputs"]:
+                if output["name"] not in [d["name"] for d in deduplicated_outputs]:
+                    deduplicated_outputs.append(output)
+            source_node["data"]["node"]["outputs"] = deduplicated_outputs
+
+            edge["sourceHandle"] = escape_json_dump(new_source_handle)
+            edge["data"]["sourceHandle"] = new_source_handle
+            edge["data"]["targetHandle"] = new_target_handle
+    # The above sets the edges but some of the sourceHandles do not have valid name
+    # which can be found in the nodes. We need to update the sourceHandle with the
+    # name from node['data']['node']['outputs']
+    for node in nodes:
+        if "outputs" in node["data"]["node"]:
+            for output in node["data"]["node"]["outputs"]:
+                for edge in edges:
+                    if node["id"] != edge["source"] or output.get("method") is None:
+                        continue
+                    source_handle = scape_json_parse(edge["sourceHandle"])
+                    if source_handle["output_types"] == output.get("types") and source_handle["name"] != output["name"]:
+                        source_handle["name"] = output["name"]
+                        if isinstance(source_handle, str):
+                            source_handle = scape_json_parse(source_handle)
+                        edge["sourceHandle"] = escape_json_dump(source_handle)
+                        edge["data"]["sourceHandle"] = source_handle
+
+    data_copy = copy.deepcopy(data)
+    data_copy["nodes"] = nodes
+    data_copy["edges"] = edges
+    return data_copy
+
+
+def update_edges_with_latest_component_versions(project_data):
+    edge_changes_log = defaultdict(list)
+    project_data_copy = deepcopy(project_data)
+    for edge in project_data_copy.get("edges", []):
+        source_handle = edge.get("data").get("sourceHandle")
+        source_handle = scape_json_parse(source_handle)
+        target_handle = edge.get("data").get("targetHandle")
+        target_handle = scape_json_parse(target_handle)
+        # Now find the source and target nodes in the nodes list
+        source_node = next(
+            (node for node in project_data.get("nodes", []) if node.get("id") == edge.get("source")), None
+        )
+        target_node = next(
+            (node for node in project_data.get("nodes", []) if node.get("id") == edge.get("target")), None
+        )
+        if source_node and target_node:
+            source_node_data = source_node.get("data").get("node")
+            target_node_data = target_node.get("data").get("node")
+            output_data = next(
+                (output for output in source_node_data.get("outputs", []) if output["name"] == source_handle["name"]),
+                None,
+            )
+            if not output_data:
+                output_data = next(
+                    (
+                        output
+                        for output in source_node_data.get("outputs", [])
+                        if output["display_name"] == source_handle["name"]
+                    ),
+                    None,
+                )
+                if output_data:
+                    source_handle["name"] = output_data["name"]
+            if output_data:
+                if len(output_data.get("types")) == 1:
+                    new_output_types = output_data.get("types")
+                elif output_data.get("selected"):
+                    new_output_types = [output_data.get("selected")]
+                else:
+                    new_output_types = []
+            else:
+                new_output_types = []
+
+            if source_handle["output_types"] != new_output_types:
+                edge_changes_log[source_node_data["display_name"]].append(
+                    {
+                        "attr": "output_types",
+                        "old_value": source_handle["output_types"],
+                        "new_value": new_output_types,
+                    }
+                )
+                source_handle["output_types"] = new_output_types
+
+            field_name = target_handle.get("fieldName")
+            if field_name in target_node_data.get("template"):
+                if target_handle["inputTypes"] != target_node_data.get("template").get(field_name).get("input_types"):
+                    edge_changes_log[target_node_data["display_name"]].append(
+                        {
+                            "attr": "inputTypes",
+                            "old_value": target_handle["inputTypes"],
+                            "new_value": target_node_data.get("template").get(field_name).get("input_types"),
+                        }
+                    )
+                    target_handle["inputTypes"] = target_node_data.get("template").get(field_name).get("input_types")
+            escaped_source_handle = escape_json_dump(source_handle)
+            escaped_target_handle = escape_json_dump(target_handle)
+            try:
+                old_escape_source_handle = escape_json_dump(json.loads(edge["sourceHandle"]))
+
+            except json.JSONDecodeError:
+                old_escape_source_handle = edge["sourceHandle"]
+
+            try:
+                old_escape_target_handle = escape_json_dump(json.loads(edge["targetHandle"]))
+            except json.JSONDecodeError:
+                old_escape_target_handle = edge["targetHandle"]
+            if old_escape_source_handle != escaped_source_handle:
+                edge_changes_log[source_node_data["display_name"]].append(
+                    {
+                        "attr": "sourceHandle",
+                        "old_value": old_escape_source_handle,
+                        "new_value": escaped_source_handle,
+                    }
+                )
+                edge["sourceHandle"] = escaped_source_handle
+            if old_escape_target_handle != escaped_target_handle:
+                edge_changes_log[target_node_data["display_name"]].append(
+                    {
+                        "attr": "targetHandle",
+                        "old_value": old_escape_target_handle,
+                        "new_value": escaped_target_handle,
+                    }
+                )
+                edge["targetHandle"] = escaped_target_handle
+
+        else:
+            logger.error(f"Source or target node not found for edge: {edge}")
+    log_node_changes(edge_changes_log)
+    return project_data_copy
+
+
+def escape_json_dump(edge_dict):
+    return json.dumps(edge_dict).replace('"', "œ")
+
+
+def log_node_changes(node_changes_log):
+    # The idea here is to log the changes that were made to the nodes in debug
+    # Something like:
+    # Node: "Node Name" was updated with the following changes:
+    # attr_name: old_value -> new_value
+    # let's create one log per node
+    formatted_messages = []
+    for node_name, changes in node_changes_log.items():
+        message = f"\nNode: {node_name} was updated with the following changes:"
+        for change in changes:
+            message += f"\n- {change['attr']}: {change['old_value']} -> {change['new_value']}"
+        formatted_messages.append(message)
+    if formatted_messages:
+        logger.debug("\n".join(formatted_messages))
+
+
+def load_starter_projects() -> list[tuple[Path, dict]]:
+    starter_projects = []
+    folder = Path(__file__).parent / "starter_projects"
+    for file in folder.glob("*.json"):
+        project = orjson.loads(file.read_text(encoding="utf-8"))
+        starter_projects.append((file, project))
+        logger.info(f"Loaded starter project {file}")
+    return starter_projects
+
+
+def copy_profile_pictures():
+    config_dir = get_storage_service().settings_service.settings.config_dir
+    origin = Path(__file__).parent / "profile_pictures"
+    target = Path(config_dir) / "profile_pictures"
+
+    if not os.path.exists(origin):
+        raise ValueError(f"The source folder '{origin}' does not exist.")
+
+    if not os.path.exists(target):
+        os.makedirs(target)
+
+    try:
+        shutil.copytree(origin, target, dirs_exist_ok=True)
+        logger.debug(f"Folder copied from '{origin}' to '{target}'")
+
+    except Exception as e:
+        logger.error(f"Error copying the folder: {e}")
+
+
+def get_project_data(project):
+    project_name = project.get("name")
+    project_description = project.get("description")
+    project_is_component = project.get("is_component")
+    project_updated_at = project.get("updated_at")
+    if not project_updated_at:
+        project_updated_at = datetime.now(tz=timezone.utc).isoformat()
+        updated_at_datetime = datetime.strptime(project_updated_at, "%Y-%m-%dT%H:%M:%S.%f%z")
+    else:
+        updated_at_datetime = datetime.strptime(project_updated_at, "%Y-%m-%dT%H:%M:%S.%f")
+    project_data = project.get("data")
+    project_icon = project.get("icon")
+    if project_icon and purely_emoji(project_icon):
+        project_icon = demojize(project_icon)
+    else:
+        project_icon = ""
+    project_icon_bg_color = project.get("icon_bg_color")
+    return (
+        project_name,
+        project_description,
+        project_is_component,
+        updated_at_datetime,
+        project_data,
+        project_icon,
+        project_icon_bg_color,
+    )
+
+
+def update_project_file(project_path, project, updated_project_data):
+    project["data"] = updated_project_data
+    with open(project_path, "w", encoding="utf-8") as f:
+        f.write(orjson.dumps(project, option=ORJSON_OPTIONS).decode())
+    logger.info(f"Updated starter project {project['name']} file")
+
+
+def update_existing_project(
+    existing_project,
+    project_name,
+    project_description,
+    project_is_component,
+    updated_at_datetime,
+    project_data,
+    project_icon,
+    project_icon_bg_color,
+):
+    logger.info(f"Updating starter project {project_name}")
+    existing_project.data = project_data
+    existing_project.folder = STARTER_FOLDER_NAME
+    existing_project.description = project_description
+    existing_project.is_component = project_is_component
+    existing_project.updated_at = updated_at_datetime
+    existing_project.icon = project_icon
+    existing_project.icon_bg_color = project_icon_bg_color
+
+
+def create_new_project(
+    session,
+    project_name,
+    project_description,
+    project_is_component,
+    updated_at_datetime,
+    project_data,
+    project_icon,
+    project_icon_bg_color,
+    new_folder_id,
+):
+    logger.debug(f"Creating starter project {project_name}")
+    new_project = FlowCreate(
+        name=project_name,
+        description=project_description,
+        icon=project_icon,
+        icon_bg_color=project_icon_bg_color,
+        data=project_data,
+        is_component=project_is_component,
+        updated_at=updated_at_datetime,
+        folder_id=new_folder_id,
+    )
+    db_flow = Flow.model_validate(new_project, from_attributes=True)
+    session.add(db_flow)
+
+
+def get_all_flows_similar_to_project(session, folder_id):
+    flows = session.exec(select(Folder).where(Folder.id == folder_id)).first().flows
+    return flows
+
+
+def delete_start_projects(session, folder_id):
+    flows = session.exec(select(Folder).where(Folder.id == folder_id)).first().flows
+    for flow in flows:
+        session.delete(flow)
+    session.commit()
+
+
+def folder_exists(session, folder_name):
+    folder = session.exec(select(Folder).where(Folder.name == folder_name)).first()
+    return folder is not None
+
+
+def create_starter_folder(session):
+    if not folder_exists(session, STARTER_FOLDER_NAME):
+        new_folder = FolderCreate(name=STARTER_FOLDER_NAME, description=STARTER_FOLDER_DESCRIPTION)
+        db_folder = Folder.model_validate(new_folder, from_attributes=True)
+        session.add(db_folder)
+        session.commit()
+        session.refresh(db_folder)
+        return db_folder
+    else:
+        return session.exec(select(Folder).where(Folder.name == STARTER_FOLDER_NAME)).first()
+
+
+def _is_valid_uuid(val):
+    try:
+        uuid_obj = UUID(val)
+    except ValueError:
+        return False
+    return str(uuid_obj) == val
+
+
+def load_flows_from_directory():
+    settings_service = get_settings_service()
+    flows_path = settings_service.settings.load_flows_path
+    if not flows_path:
+        return
+    if not settings_service.auth_settings.AUTO_LOGIN:
+        logger.warning("AUTO_LOGIN is disabled, not loading flows from directory")
+        return
+
+    with session_scope() as session:
+        user_id = get_user_by_username(session, settings_service.auth_settings.SUPERUSER).id
+        files = [f for f in os.listdir(flows_path) if os.path.isfile(os.path.join(flows_path, f))]
+        for filename in files:
+            if not filename.endswith(".json"):
+                continue
+            logger.info(f"Loading flow from file: {filename}")
+            with open(os.path.join(flows_path, filename), "r", encoding="utf-8") as file:
+                flow = orjson.loads(file.read())
+                no_json_name = filename.replace(".json", "")
+                flow_endpoint_name = flow.get("endpoint_name")
+                if _is_valid_uuid(no_json_name):
+                    flow["id"] = no_json_name
+                flow_id = flow.get("id")
+
+                existing = find_existing_flow(session, flow_id, flow_endpoint_name)
+                if existing:
+                    logger.info(f"Updating existing flow: {flow_id} with endpoint name {flow_endpoint_name}")
+                    for key, value in flow.items():
+                        if hasattr(existing, key):
+                            # flow dict from json and db representation are not 100% the same
+                            setattr(existing, key, value)
+                    existing.updated_at = datetime.utcnow()
+                    existing.user_id = user_id
+                    session.add(existing)
+                    session.commit()
+                else:
+                    logger.info(f"Creating new flow: {flow_id} with endpoint name {flow_endpoint_name}")
+                    flow["user_id"] = user_id
+                    flow = Flow.model_validate(flow, from_attributes=True)
+                    flow.updated_at = datetime.utcnow()
+                    session.add(flow)
+                session.commit()
+
+
+def find_existing_flow(session, flow_id, flow_endpoint_name):
+    if flow_endpoint_name:
+        stmt = select(Flow).where(Flow.endpoint_name == flow_endpoint_name)
+        if existing := session.exec(stmt).first():
+            return existing
+    stmt = select(Flow).where(Flow.id == flow_id)
+    if existing := session.exec(stmt).first():
+        return existing
+    return None
+
+
+async def create_or_update_starter_projects(get_all_components_coro: Awaitable[dict]):
+    try:
+        all_types_dict = await get_all_components_coro
+    except Exception as e:
+        logger.exception(f"Error loading components: {e}")
+        raise e
+    with session_scope() as session:
+        new_folder = create_starter_folder(session)
+        starter_projects = load_starter_projects()
+        delete_start_projects(session, new_folder.id)
+        copy_profile_pictures()
+        for project_path, project in starter_projects:
+            (
+                project_name,
+                project_description,
+                project_is_component,
+                updated_at_datetime,
+                project_data,
+                project_icon,
+                project_icon_bg_color,
+            ) = get_project_data(project)
+            updated_project_data = update_projects_components_with_latest_component_versions(
+                project_data.copy(), all_types_dict
+            )
+            updated_project_data = update_edges_with_latest_component_versions(updated_project_data)
+            try:
+                Graph.from_payload(updated_project_data)
+            except Exception as e:
+                logger.error(e)
+            if updated_project_data != project_data:
+                project_data = updated_project_data
+                # We also need to update the project data in the file
+
+                update_project_file(project_path, project, updated_project_data)
+            if project_name and project_data:
+                for existing_project in get_all_flows_similar_to_project(session, new_folder.id):
+                    session.delete(existing_project)
+
+                create_new_project(
+                    session,
+                    project_name,
+                    project_description,
+                    project_is_component,
+                    updated_at_datetime,
+                    project_data,
+                    project_icon,
+                    project_icon_bg_color,
+                    new_folder.id,
+                )
+
+
+def initialize_super_user_if_needed():
+    settings_service = get_settings_service()
+    if not settings_service.auth_settings.AUTO_LOGIN:
+        return
+    username = settings_service.auth_settings.SUPERUSER
+    password = settings_service.auth_settings.SUPERUSER_PASSWORD
+    if not username or not password:
+        raise ValueError("SUPERUSER and SUPERUSER_PASSWORD must be set in the settings if AUTO_LOGIN is true.")
+
+    with session_scope() as session:
+        super_user = create_super_user(db=session, username=username, password=password)
+        get_variable_service().initialize_user_variables(super_user.id, session)
+        create_default_folder_if_it_doesnt_exist(session, super_user.id)
+        session.commit()
+        logger.info("Super user initialized")
diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting (Hello, World).json b/src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting (Hello, World).json
new file mode 100644
index 00000000000..283e12da99c
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting (Hello, World).json	
@@ -0,0 +1,875 @@
+{
+  "data": {
+    "edges": [
+      {
+        "className": "",
+        "data": {
+          "sourceHandle": {
+            "dataType": "ChatInput",
+            "id": "ChatInput-cIXVH",
+            "name": "message",
+            "output_types": [
+              "Message"
+            ]
+          },
+          "targetHandle": {
+            "fieldName": "user_input",
+            "id": "Prompt-Ejl8w",
+            "inputTypes": [
+              "Message",
+              "Text"
+            ],
+            "type": "str"
+          }
+        },
+        "id": "reactflow__edge-ChatInput-cIXVH{œdataTypeœ:œChatInputœ,œidœ:œChatInput-cIXVHœ,œnameœ:œmessageœ,œoutput_typesœ:[œMessageœ]}-Prompt-Ejl8w{œfieldNameœ:œuser_inputœ,œidœ:œPrompt-Ejl8wœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}",
+        "source": "ChatInput-cIXVH",
+        "sourceHandle": "{œdataTypeœ: œChatInputœ, œidœ: œChatInput-cIXVHœ, œnameœ: œmessageœ, œoutput_typesœ: [œMessageœ]}",
+        "target": "Prompt-Ejl8w",
+        "targetHandle": "{œfieldNameœ: œuser_inputœ, œidœ: œPrompt-Ejl8wœ, œinputTypesœ: [œMessageœ, œTextœ], œtypeœ: œstrœ}"
+      },
+      {
+        "className": "",
+        "data": {
+          "sourceHandle": {
+            "dataType": "Prompt",
+            "id": "Prompt-Ejl8w",
+            "name": "prompt",
+            "output_types": [
+              "Message"
+            ]
+          },
+          "targetHandle": {
+            "fieldName": "input_value",
+            "id": "OpenAIModel-FAF7r",
+            "inputTypes": [
+              "Message"
+            ],
+            "type": "str"
+          }
+        },
+        "id": "reactflow__edge-Prompt-Ejl8w{œdataTypeœ:œPromptœ,œidœ:œPrompt-Ejl8wœ,œnameœ:œpromptœ,œoutput_typesœ:[œMessageœ]}-OpenAIModel-FAF7r{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-FAF7rœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
+        "source": "Prompt-Ejl8w",
+        "sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-Ejl8wœ, œnameœ: œpromptœ, œoutput_typesœ: [œMessageœ]}",
+        "target": "OpenAIModel-FAF7r",
+        "targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œOpenAIModel-FAF7rœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
+      },
+      {
+        "className": "",
+        "data": {
+          "sourceHandle": {
+            "dataType": "OpenAIModel",
+            "id": "OpenAIModel-FAF7r",
+            "name": "text_output",
+            "output_types": [
+              "Message"
+            ]
+          },
+          "targetHandle": {
+            "fieldName": "input_value",
+            "id": "ChatOutput-riTzX",
+            "inputTypes": [
+              "Message"
+            ],
+            "type": "str"
+          }
+        },
+        "id": "reactflow__edge-OpenAIModel-FAF7r{œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-FAF7rœ,œnameœ:œtext_outputœ,œoutput_typesœ:[œMessageœ]}-ChatOutput-riTzX{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-riTzXœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
+        "source": "OpenAIModel-FAF7r",
+        "sourceHandle": "{œdataTypeœ: œOpenAIModelœ, œidœ: œOpenAIModel-FAF7rœ, œnameœ: œtext_outputœ, œoutput_typesœ: [œMessageœ]}",
+        "target": "ChatOutput-riTzX",
+        "targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œChatOutput-riTzXœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
+      }
+    ],
+    "nodes": [
+      {
+        "data": {
+          "description": "Create a prompt template with dynamic variables.",
+          "display_name": "Prompt",
+          "edited": false,
+          "id": "Prompt-Ejl8w",
+          "node": {
+            "base_classes": [
+              "Message"
+            ],
+            "beta": false,
+            "conditional_paths": [],
+            "custom_fields": {
+              "template": [
+                "user_input"
+              ]
+            },
+            "description": "Create a prompt template with dynamic variables.",
+            "display_name": "Prompt",
+            "documentation": "",
+            "edited": true,
+            "field_order": [
+              "template"
+            ],
+            "frozen": false,
+            "icon": "prompts",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Prompt Message",
+                "hidden": false,
+                "method": "build_prompt",
+                "name": "prompt",
+                "selected": "Message",
+                "types": [
+                  "Message"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "pinned": false,
+            "template": {
+              "_type": "Component",
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "from langflow.base.prompts.api_utils import process_prompt_template\nfrom langflow.custom import Component\nfrom langflow.io import Output, PromptInput\nfrom langflow.schema.message import Message\nfrom langflow.template.utils import update_template_values\n\n\nclass PromptComponent(Component):\n    display_name: str = \"Prompt\"\n    description: str = \"Create a prompt template with dynamic variables.\"\n    icon = \"prompts\"\n    trace_type = \"prompt\"\n\n    inputs = [\n        PromptInput(name=\"template\", display_name=\"Template\"),\n    ]\n\n    outputs = [\n        Output(display_name=\"Prompt Message\", name=\"prompt\", method=\"build_prompt\"),\n    ]\n\n    async def build_prompt(\n        self,\n    ) -> Message:\n        prompt = await Message.from_template_and_variables(**self._attributes)\n        self.status = prompt.text\n        return prompt\n\n    def post_code_processing(self, new_build_config: dict, current_build_config: dict):\n        \"\"\"\n        This function is called after the code validation is done.\n        \"\"\"\n        frontend_node = super().post_code_processing(new_build_config, current_build_config)\n        template = frontend_node[\"template\"][\"template\"][\"value\"]\n        _ = process_prompt_template(\n            template=template,\n            name=\"template\",\n            custom_fields=frontend_node[\"custom_fields\"],\n            frontend_node_template=frontend_node[\"template\"],\n        )\n        # Now that template is updated, we need to grab any values that were set in the current_build_config\n        # and update the frontend_node with those values\n        update_template_values(frontend_template=frontend_node, raw_template=current_build_config[\"template\"])\n        return frontend_node\n"
+              },
+              "template": {
+                "advanced": false,
+                "display_name": "Template",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "template",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "type": "prompt",
+                "value": "Answer the user as if you were a pirate.\n\nUser: {user_input}\n\nAnswer: "
+              },
+              "user_input": {
+                "advanced": false,
+                "display_name": "user_input",
+                "dynamic": false,
+                "field_type": "str",
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "input_types": [
+                  "Message",
+                  "Text"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "user_input",
+                "password": false,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              }
+            }
+          },
+          "type": "Prompt"
+        },
+        "dragging": false,
+        "height": 422,
+        "id": "Prompt-Ejl8w",
+        "position": {
+          "x": 43.70859256635981,
+          "y": 1115.5304359666682
+        },
+        "positionAbsolute": {
+          "x": 43.70859256635981,
+          "y": 1115.5304359666682
+        },
+        "selected": false,
+        "type": "genericNode",
+        "width": 384
+      },
+      {
+        "data": {
+          "description": "Get chat inputs from the Playground.",
+          "display_name": "Chat Input",
+          "edited": false,
+          "id": "ChatInput-cIXVH",
+          "node": {
+            "base_classes": [
+              "Message"
+            ],
+            "beta": false,
+            "conditional_paths": [],
+            "custom_fields": {},
+            "description": "Get chat inputs from the Playground.",
+            "display_name": "Chat Input",
+            "documentation": "",
+            "edited": true,
+            "field_order": [
+              "input_value",
+              "sender",
+              "sender_name",
+              "session_id",
+              "files"
+            ],
+            "frozen": false,
+            "icon": "ChatInput",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Message",
+                "hidden": false,
+                "method": "message_response",
+                "name": "message",
+                "selected": "Message",
+                "types": [
+                  "Message"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "pinned": false,
+            "template": {
+              "_type": "Component",
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.io import DropdownInput, FileInput, MultilineInput, Output, TextInput\nfrom langflow.schema.message import Message\n\n\nclass ChatInput(ChatComponent):\n    display_name = \"Chat Input\"\n    description = \"Get chat inputs from the Playground.\"\n    icon = \"ChatInput\"\n\n    inputs = [\n        MultilineInput(\n            name=\"input_value\",\n            display_name=\"Text\",\n            value=\"\",\n            info=\"Message to be passed as input.\",\n        ),\n        DropdownInput(\n            name=\"sender\",\n            display_name=\"Sender Type\",\n            options=[\"Machine\", \"User\"],\n            value=\"User\",\n            info=\"Type of sender.\",\n            advanced=True,\n        ),\n        TextInput(\n            name=\"sender_name\",\n            display_name=\"Sender Name\",\n            info=\"Name of the sender.\",\n            value=\"User\",\n            advanced=True,\n        ),\n        TextInput(name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True),\n        FileInput(\n            name=\"files\",\n            display_name=\"Files\",\n            file_types=TEXT_FILE_TYPES + IMG_FILE_TYPES,\n            info=\"Files to be sent with the message.\",\n            advanced=True,\n            is_list=True,\n        ),\n    ]\n    outputs = [\n        Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n    ]\n\n    def message_response(self) -> Message:\n        message = Message(\n            text=self.input_value,\n            sender=self.sender,\n            sender_name=self.sender_name,\n            session_id=self.session_id,\n            files=self.files,\n        )\n        if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n            self.store_message(message)\n            self.message.value = message\n\n        self.status = message\n        return message\n"
+              },
+              "files": {
+                "advanced": true,
+                "display_name": "Files",
+                "dynamic": false,
+                "fileTypes": [
+                  "txt",
+                  "md",
+                  "mdx",
+                  "csv",
+                  "json",
+                  "yaml",
+                  "yml",
+                  "xml",
+                  "html",
+                  "htm",
+                  "pdf",
+                  "docx",
+                  "py",
+                  "sh",
+                  "sql",
+                  "js",
+                  "ts",
+                  "tsx",
+                  "jpg",
+                  "jpeg",
+                  "png",
+                  "bmp",
+                  "image"
+                ],
+                "file_path": "",
+                "info": "Files to be sent with the message.",
+                "list": true,
+                "name": "files",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_metadata": true,
+                "type": "file",
+                "value": ""
+              },
+              "input_value": {
+                "advanced": false,
+                "display_name": "Text",
+                "dynamic": false,
+                "info": "Message to be passed as input.",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "input_value",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": ""
+              },
+              "sender": {
+                "advanced": true,
+                "display_name": "Sender Type",
+                "dynamic": false,
+                "info": "Type of sender.",
+                "name": "sender",
+                "options": [
+                  "Machine",
+                  "User"
+                ],
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": "User"
+              },
+              "sender_name": {
+                "advanced": true,
+                "display_name": "Sender Name",
+                "dynamic": false,
+                "info": "Name of the sender.",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "sender_name",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": "User"
+              },
+              "session_id": {
+                "advanced": true,
+                "display_name": "Session ID",
+                "dynamic": false,
+                "info": "Session ID for the message.",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "session_id",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": ""
+              }
+            }
+          },
+          "type": "ChatInput"
+        },
+        "dragging": false,
+        "height": 308,
+        "id": "ChatInput-cIXVH",
+        "position": {
+          "x": -521.3324537445985,
+          "y": 1089.7620993695407
+        },
+        "positionAbsolute": {
+          "x": -521.3324537445985,
+          "y": 1089.7620993695407
+        },
+        "selected": false,
+        "type": "genericNode",
+        "width": 384
+      },
+      {
+        "data": {
+          "description": "Generates text using OpenAI LLMs.",
+          "display_name": "OpenAI",
+          "edited": false,
+          "id": "OpenAIModel-FAF7r",
+          "node": {
+            "base_classes": [
+              "LanguageModel",
+              "Message"
+            ],
+            "beta": false,
+            "conditional_paths": [],
+            "custom_fields": {},
+            "description": "Generates text using OpenAI LLMs.",
+            "display_name": "OpenAI",
+            "documentation": "",
+            "edited": true,
+            "field_order": [
+              "input_value",
+              "max_tokens",
+              "model_kwargs",
+              "output_schema",
+              "model_name",
+              "openai_api_base",
+              "openai_api_key",
+              "temperature",
+              "stream",
+              "system_message",
+              "seed"
+            ],
+            "frozen": false,
+            "icon": "OpenAI",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Text",
+                "hidden": false,
+                "method": "text_response",
+                "name": "text_output",
+                "selected": "Message",
+                "types": [
+                  "Message"
+                ],
+                "value": "__UNDEFINED__"
+              },
+              {
+                "cache": true,
+                "display_name": "Language Model",
+                "method": "build_model",
+                "name": "model_output",
+                "selected": "LanguageModel",
+                "types": [
+                  "LanguageModel"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "pinned": false,
+            "template": {
+              "_type": "Component",
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "import operator\nfrom functools import reduce\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import LanguageModel\nfrom langflow.inputs import (\n    BoolInput,\n    DictInput,\n    DropdownInput,\n    FloatInput,\n    IntInput,\n    MessageInput,\n    SecretStrInput,\n    StrInput,\n)\n\n\nclass OpenAIModelComponent(LCModelComponent):\n    display_name = \"OpenAI\"\n    description = \"Generates text using OpenAI LLMs.\"\n    icon = \"OpenAI\"\n\n    inputs = [\n        MessageInput(name=\"input_value\", display_name=\"Input\"),\n        IntInput(\n            name=\"max_tokens\",\n            display_name=\"Max Tokens\",\n            advanced=True,\n            info=\"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n        ),\n        DictInput(name=\"model_kwargs\", display_name=\"Model Kwargs\", advanced=True),\n        DictInput(\n            name=\"output_schema\",\n            is_list=True,\n            display_name=\"Schema\",\n            advanced=True,\n            info=\"The schema for the Output of the model. You must pass the word JSON in the prompt. If left blank, JSON mode will be disabled.\",\n        ),\n        DropdownInput(\n            name=\"model_name\", display_name=\"Model Name\", advanced=False, options=MODEL_NAMES, value=MODEL_NAMES[0]\n        ),\n        StrInput(\n            name=\"openai_api_base\",\n            display_name=\"OpenAI API Base\",\n            advanced=True,\n            info=\"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1. You can change this to use other APIs like JinaChat, LocalAI and Prem.\",\n        ),\n        SecretStrInput(\n            name=\"openai_api_key\",\n            display_name=\"OpenAI API Key\",\n            info=\"The OpenAI API Key to use for the OpenAI model.\",\n            advanced=False,\n            value=\"OPENAI_API_KEY\",\n        ),\n        FloatInput(name=\"temperature\", display_name=\"Temperature\", value=0.1),\n        BoolInput(name=\"stream\", display_name=\"Stream\", info=STREAM_INFO_TEXT, advanced=True),\n        StrInput(\n            name=\"system_message\",\n            display_name=\"System Message\",\n            info=\"System message to pass to the model.\",\n            advanced=True,\n        ),\n        IntInput(\n            name=\"seed\",\n            display_name=\"Seed\",\n            info=\"The seed controls the reproducibility of the job.\",\n            advanced=True,\n            value=1,\n        ),\n    ]\n\n    def build_model(self) -> LanguageModel:\n        # self.output_schea is a list of dictionaries\n        # let's convert it to a dictionary\n        output_schema_dict: dict[str, str] = reduce(operator.ior, self.output_schema or {}, {})\n        openai_api_key = self.openai_api_key\n        temperature = self.temperature\n        model_name: str = self.model_name\n        max_tokens = self.max_tokens\n        model_kwargs = self.model_kwargs or {}\n        openai_api_base = self.openai_api_base or \"https://api.openai.com/v1\"\n        json_mode = bool(output_schema_dict)\n        seed = self.seed\n        model_kwargs[\"seed\"] = seed\n\n        if openai_api_key:\n            api_key = SecretStr(openai_api_key)\n        else:\n            api_key = None\n        output = ChatOpenAI(\n            max_tokens=max_tokens or None,\n            model_kwargs=model_kwargs,\n            model=model_name,\n            base_url=openai_api_base,\n            api_key=api_key,\n            temperature=temperature or 0.1,\n        )\n        if json_mode:\n            output = output.with_structured_output(schema=output_schema_dict, method=\"json_mode\")  # type: ignore\n\n        return output\n\n    def _get_exception_message(self, e: Exception):\n        \"\"\"\n        Get a message from an OpenAI exception.\n\n        Args:\n            exception (Exception): The exception to get the message from.\n\n        Returns:\n            str: The message from the exception.\n        \"\"\"\n\n        try:\n            from openai import BadRequestError\n        except ImportError:\n            return\n        if isinstance(e, BadRequestError):\n            message = e.body.get(\"message\")  # type: ignore\n            if message:\n                return message\n        return\n"
+              },
+              "input_value": {
+                "advanced": false,
+                "display_name": "Input",
+                "dynamic": false,
+                "info": "",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "input_value",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": ""
+              },
+              "max_tokens": {
+                "advanced": true,
+                "display_name": "Max Tokens",
+                "dynamic": false,
+                "info": "The maximum number of tokens to generate. Set to 0 for unlimited tokens.",
+                "list": false,
+                "name": "max_tokens",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_metadata": true,
+                "type": "int",
+                "value": ""
+              },
+              "model_kwargs": {
+                "advanced": true,
+                "display_name": "Model Kwargs",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "model_kwargs",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "type": "dict",
+                "value": {}
+              },
+              "model_name": {
+                "advanced": false,
+                "display_name": "Model Name",
+                "dynamic": false,
+                "info": "",
+                "name": "model_name",
+                "options": [
+                  "gpt-4o",
+                  "gpt-4-turbo",
+                  "gpt-4-turbo-preview",
+                  "gpt-3.5-turbo",
+                  "gpt-3.5-turbo-0125"
+                ],
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": "gpt-4-turbo"
+              },
+              "openai_api_base": {
+                "advanced": true,
+                "display_name": "OpenAI API Base",
+                "dynamic": false,
+                "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1. You can change this to use other APIs like JinaChat, LocalAI and Prem.",
+                "list": false,
+                "load_from_db": false,
+                "name": "openai_api_base",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": ""
+              },
+              "openai_api_key": {
+                "advanced": false,
+                "display_name": "OpenAI API Key",
+                "dynamic": false,
+                "info": "The OpenAI API Key to use for the OpenAI model.",
+                "input_types": [],
+                "load_from_db": false,
+                "name": "openai_api_key",
+                "password": true,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "output_schema": {
+                "advanced": true,
+                "display_name": "Schema",
+                "dynamic": false,
+                "info": "The schema for the Output of the model. You must pass the word JSON in the prompt. If left blank, JSON mode will be disabled.",
+                "list": true,
+                "name": "output_schema",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "type": "dict",
+                "value": {}
+              },
+              "seed": {
+                "advanced": true,
+                "display_name": "Seed",
+                "dynamic": false,
+                "info": "The seed controls the reproducibility of the job.",
+                "list": false,
+                "name": "seed",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_metadata": true,
+                "type": "int",
+                "value": 1
+              },
+              "stream": {
+                "advanced": true,
+                "display_name": "Stream",
+                "dynamic": false,
+                "info": "Stream the response from the model. Streaming works only in Chat.",
+                "list": false,
+                "name": "stream",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_metadata": true,
+                "type": "bool",
+                "value": false
+              },
+              "system_message": {
+                "advanced": true,
+                "display_name": "System Message",
+                "dynamic": false,
+                "info": "System message to pass to the model.",
+                "list": false,
+                "load_from_db": false,
+                "name": "system_message",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": ""
+              },
+              "temperature": {
+                "advanced": false,
+                "display_name": "Temperature",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "temperature",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_metadata": true,
+                "type": "float",
+                "value": 0.1
+              }
+            }
+          },
+          "type": "OpenAIModel"
+        },
+        "dragging": false,
+        "height": 621,
+        "id": "OpenAIModel-FAF7r",
+        "position": {
+          "x": 584.9288140250019,
+          "y": 1149.0790574268922
+        },
+        "positionAbsolute": {
+          "x": 584.9288140250019,
+          "y": 1149.0790574268922
+        },
+        "selected": false,
+        "type": "genericNode",
+        "width": 384
+      },
+      {
+        "data": {
+          "description": "Display a chat message in the Playground.",
+          "display_name": "Chat Output",
+          "edited": false,
+          "id": "ChatOutput-riTzX",
+          "node": {
+            "base_classes": [
+              "Message"
+            ],
+            "beta": false,
+            "conditional_paths": [],
+            "custom_fields": {},
+            "description": "Display a chat message in the Playground.",
+            "display_name": "Chat Output",
+            "documentation": "",
+            "edited": true,
+            "field_order": [
+              "input_value",
+              "sender",
+              "sender_name",
+              "session_id",
+              "data_template"
+            ],
+            "frozen": false,
+            "icon": "ChatOutput",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Message",
+                "method": "message_response",
+                "name": "message",
+                "selected": "Message",
+                "types": [
+                  "Message"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "pinned": false,
+            "template": {
+              "_type": "Component",
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.io import DropdownInput, Output, TextInput\nfrom langflow.schema.message import Message\n\n\nclass ChatOutput(ChatComponent):\n    display_name = \"Chat Output\"\n    description = \"Display a chat message in the Playground.\"\n    icon = \"ChatOutput\"\n\n    inputs = [\n        TextInput(\n            name=\"input_value\",\n            display_name=\"Text\",\n            info=\"Message to be passed as output.\",\n        ),\n        DropdownInput(\n            name=\"sender\",\n            display_name=\"Sender Type\",\n            options=[\"Machine\", \"User\"],\n            value=\"Machine\",\n            advanced=True,\n            info=\"Type of sender.\",\n        ),\n        TextInput(\n            name=\"sender_name\", display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\", advanced=True\n        ),\n        TextInput(name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True),\n        TextInput(\n            name=\"data_template\",\n            display_name=\"Data Template\",\n            value=\"{text}\",\n            advanced=True,\n            info=\"Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.\",\n        ),\n    ]\n    outputs = [\n        Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n    ]\n\n    def message_response(self) -> Message:\n        message = Message(\n            text=self.input_value,\n            sender=self.sender,\n            sender_name=self.sender_name,\n            session_id=self.session_id,\n        )\n        if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n            self.store_message(message)\n            self.message.value = message\n\n        self.status = message\n        return message\n"
+              },
+              "data_template": {
+                "advanced": true,
+                "display_name": "Data Template",
+                "dynamic": false,
+                "info": "Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "data_template",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": "{text}"
+              },
+              "input_value": {
+                "advanced": false,
+                "display_name": "Text",
+                "dynamic": false,
+                "info": "Message to be passed as output.",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "input_value",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": ""
+              },
+              "sender": {
+                "advanced": true,
+                "display_name": "Sender Type",
+                "dynamic": false,
+                "info": "Type of sender.",
+                "name": "sender",
+                "options": [
+                  "Machine",
+                  "User"
+                ],
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": "Machine"
+              },
+              "sender_name": {
+                "advanced": true,
+                "display_name": "Sender Name",
+                "dynamic": false,
+                "info": "Name of the sender.",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "sender_name",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": "AI"
+              },
+              "session_id": {
+                "advanced": true,
+                "display_name": "Session ID",
+                "dynamic": false,
+                "info": "Session ID for the message.",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "session_id",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": ""
+              }
+            }
+          },
+          "type": "ChatOutput"
+        },
+        "dragging": false,
+        "height": 308,
+        "id": "ChatOutput-riTzX",
+        "position": {
+          "x": 1157.3374592784412,
+          "y": 1160.9424490383622
+        },
+        "positionAbsolute": {
+          "x": 1157.3374592784412,
+          "y": 1160.9424490383622
+        },
+        "selected": false,
+        "type": "genericNode",
+        "width": 384
+      }
+    ],
+    "viewport": {
+      "x": 382.9033026612555,
+      "y": -365.74767124549675,
+      "zoom": 0.5000000338450783
+    }
+  },
+  "description": "This flow will get you experimenting with the basics of the UI, the Chat and the Prompt component. \n\nTry changing the Template in it to see how the model behaves. \nYou can change it to this and a Text Input into the `type_of_person` variable : \"Answer the user as if you were a pirate.\n\nUser: {user_input}\n\nAnswer: \" ",
+  "endpoint_name": null,
+  "id": "52f28cee-19d7-48c4-ac36-12a6cc32206b",
+  "is_component": false,
+  "last_tested_version": "1.0.0rc1",
+  "name": "Basic Prompting (Hello, World)"
+}
\ No newline at end of file
diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Blog Writer.json b/src/backend/base/langflow/initial_setup/starter_projects/Blog Writer.json
new file mode 100644
index 00000000000..9c9c107a061
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/starter_projects/Blog Writer.json	
@@ -0,0 +1,1055 @@
+{
+  "data": {
+    "edges": [
+      {
+        "className": "",
+        "data": {
+          "sourceHandle": {
+            "dataType": "TextInput",
+            "id": "TextInput-TDpSd",
+            "name": "text",
+            "output_types": [
+              "Message"
+            ]
+          },
+          "targetHandle": {
+            "fieldName": "instructions",
+            "id": "Prompt-kfWwQ",
+            "inputTypes": [
+              "Message",
+              "Text"
+            ],
+            "type": "str"
+          }
+        },
+        "id": "reactflow__edge-TextInput-TDpSd{œdataTypeœ:œTextInputœ,œidœ:œTextInput-TDpSdœ,œnameœ:œtextœ,œoutput_typesœ:[œMessageœ]}-Prompt-kfWwQ{œfieldNameœ:œinstructionsœ,œidœ:œPrompt-kfWwQœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}",
+        "source": "TextInput-TDpSd",
+        "sourceHandle": "{œdataTypeœ: œTextInputœ, œidœ: œTextInput-TDpSdœ, œnameœ: œtextœ, œoutput_typesœ: [œMessageœ]}",
+        "target": "Prompt-kfWwQ",
+        "targetHandle": "{œfieldNameœ: œinstructionsœ, œidœ: œPrompt-kfWwQœ, œinputTypesœ: [œMessageœ, œTextœ], œtypeœ: œstrœ}"
+      },
+      {
+        "className": "",
+        "data": {
+          "sourceHandle": {
+            "dataType": "URL",
+            "id": "URL-hivMA",
+            "name": "data",
+            "output_types": [
+              "Data"
+            ]
+          },
+          "targetHandle": {
+            "fieldName": "data",
+            "id": "ParseData-O4Tzh",
+            "inputTypes": [
+              "Data"
+            ],
+            "type": "other"
+          }
+        },
+        "id": "reactflow__edge-URL-hivMA{œdataTypeœ:œURLœ,œidœ:œURL-hivMAœ,œnameœ:œdataœ,œoutput_typesœ:[œDataœ]}-ParseData-O4Tzh{œfieldNameœ:œdataœ,œidœ:œParseData-O4Tzhœ,œinputTypesœ:[œDataœ],œtypeœ:œotherœ}",
+        "source": "URL-hivMA",
+        "sourceHandle": "{œdataTypeœ: œURLœ, œidœ: œURL-hivMAœ, œnameœ: œdataœ, œoutput_typesœ: [œDataœ]}",
+        "target": "ParseData-O4Tzh",
+        "targetHandle": "{œfieldNameœ: œdataœ, œidœ: œParseData-O4Tzhœ, œinputTypesœ: [œDataœ], œtypeœ: œotherœ}"
+      },
+      {
+        "className": "",
+        "data": {
+          "sourceHandle": {
+            "dataType": "ParseData",
+            "id": "ParseData-O4Tzh",
+            "name": "text",
+            "output_types": [
+              "Message"
+            ]
+          },
+          "targetHandle": {
+            "fieldName": "references",
+            "id": "Prompt-kfWwQ",
+            "inputTypes": [
+              "Message",
+              "Text"
+            ],
+            "type": "str"
+          }
+        },
+        "id": "reactflow__edge-ParseData-O4Tzh{œdataTypeœ:œParseDataœ,œidœ:œParseData-O4Tzhœ,œnameœ:œtextœ,œoutput_typesœ:[œMessageœ]}-Prompt-kfWwQ{œfieldNameœ:œreferencesœ,œidœ:œPrompt-kfWwQœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}",
+        "source": "ParseData-O4Tzh",
+        "sourceHandle": "{œdataTypeœ: œParseDataœ, œidœ: œParseData-O4Tzhœ, œnameœ: œtextœ, œoutput_typesœ: [œMessageœ]}",
+        "target": "Prompt-kfWwQ",
+        "targetHandle": "{œfieldNameœ: œreferencesœ, œidœ: œPrompt-kfWwQœ, œinputTypesœ: [œMessageœ, œTextœ], œtypeœ: œstrœ}"
+      },
+      {
+        "className": "",
+        "data": {
+          "sourceHandle": {
+            "dataType": "Prompt",
+            "id": "Prompt-kfWwQ",
+            "name": "prompt",
+            "output_types": [
+              "Message"
+            ]
+          },
+          "targetHandle": {
+            "fieldName": "input_value",
+            "id": "OpenAIModel-hVXLt",
+            "inputTypes": [
+              "Message"
+            ],
+            "type": "str"
+          }
+        },
+        "id": "reactflow__edge-Prompt-kfWwQ{œdataTypeœ:œPromptœ,œidœ:œPrompt-kfWwQœ,œnameœ:œpromptœ,œoutput_typesœ:[œMessageœ]}-OpenAIModel-hVXLt{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-hVXLtœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
+        "source": "Prompt-kfWwQ",
+        "sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-kfWwQœ, œnameœ: œpromptœ, œoutput_typesœ: [œMessageœ]}",
+        "target": "OpenAIModel-hVXLt",
+        "targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œOpenAIModel-hVXLtœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
+      },
+      {
+        "className": "",
+        "data": {
+          "sourceHandle": {
+            "dataType": "OpenAIModel",
+            "id": "OpenAIModel-hVXLt",
+            "name": "text_output",
+            "output_types": [
+              "Message"
+            ]
+          },
+          "targetHandle": {
+            "fieldName": "input_value",
+            "id": "ChatOutput-HrMHH",
+            "inputTypes": [
+              "Message"
+            ],
+            "type": "str"
+          }
+        },
+        "id": "reactflow__edge-OpenAIModel-hVXLt{œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-hVXLtœ,œnameœ:œtext_outputœ,œoutput_typesœ:[œMessageœ]}-ChatOutput-HrMHH{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-HrMHHœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
+        "source": "OpenAIModel-hVXLt",
+        "sourceHandle": "{œdataTypeœ: œOpenAIModelœ, œidœ: œOpenAIModel-hVXLtœ, œnameœ: œtext_outputœ, œoutput_typesœ: [œMessageœ]}",
+        "target": "ChatOutput-HrMHH",
+        "targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œChatOutput-HrMHHœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
+      }
+    ],
+    "nodes": [
+      {
+        "data": {
+          "description": "Get text inputs from the Playground.",
+          "display_name": "Instructions",
+          "edited": false,
+          "id": "TextInput-TDpSd",
+          "node": {
+            "base_classes": [
+              "Message"
+            ],
+            "beta": false,
+            "conditional_paths": [],
+            "custom_fields": {},
+            "description": "Get text inputs from the Playground.",
+            "display_name": "Instructions",
+            "documentation": "",
+            "edited": true,
+            "field_order": [
+              "input_value"
+            ],
+            "frozen": false,
+            "icon": "type",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Text",
+                "hidden": false,
+                "method": "text_response",
+                "name": "text",
+                "selected": "Message",
+                "types": [
+                  "Message"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "pinned": false,
+            "template": {
+              "_type": "Component",
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "from langflow.base.io.text import TextComponent\nfrom langflow.io import Output, MessageTextInput\nfrom langflow.schema.message import Message\n\n\nclass TextInputComponent(TextComponent):\n    display_name = \"Text Input\"\n    description = \"Get text inputs from the Playground.\"\n    icon = \"type\"\n\n    inputs = [\n        MessageTextInput(\n            name=\"input_value\",\n            display_name=\"Text\",\n            info=\"Text to be passed as input.\",\n        ),\n    ]\n    outputs = [\n        Output(display_name=\"Text\", name=\"text\", method=\"text_response\"),\n    ]\n\n    def text_response(self) -> Message:\n        message = Message(\n            text=self.input_value,\n        )\n        return message\n"
+              },
+              "input_value": {
+                "advanced": false,
+                "display_name": "Text",
+                "dynamic": false,
+                "info": "Text to be passed as input.",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "input_value",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "Use the references above for style to write a new blog/tutorial about Langflow and AI. Suggest non-covered topics."
+              }
+            }
+          },
+          "type": "TextInput"
+        },
+        "dragging": false,
+        "height": 309,
+        "id": "TextInput-TDpSd",
+        "position": {
+          "x": 735.806436564132,
+          "y": 346.40301122327935
+        },
+        "positionAbsolute": {
+          "x": 735.806436564132,
+          "y": 346.40301122327935
+        },
+        "selected": false,
+        "type": "genericNode",
+        "width": 384
+      },
+      {
+        "data": {
+          "id": "ParseData-O4Tzh",
+          "node": {
+            "base_classes": [
+              "Message"
+            ],
+            "beta": false,
+            "conditional_paths": [],
+            "custom_fields": {},
+            "description": "Convert Data into plain text following a specified template.",
+            "display_name": "Parse Data",
+            "documentation": "",
+            "field_order": [
+              "data",
+              "template",
+              "sep"
+            ],
+            "frozen": false,
+            "icon": "braces",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Text",
+                "hidden": false,
+                "method": "parse_data",
+                "name": "text",
+                "selected": "Message",
+                "types": [
+                  "Message"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "pinned": false,
+            "template": {
+              "_type": "Component",
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "from langflow.custom import Component\nfrom langflow.helpers.data import data_to_text\nfrom langflow.io import DataInput, MultilineInput, Output, StrInput\nfrom langflow.schema.message import Message\n\n\nclass ParseDataComponent(Component):\n    display_name = \"Parse Data\"\n    description = \"Convert Data into plain text following a specified template.\"\n    icon = \"braces\"\n\n    inputs = [\n        DataInput(name=\"data\", display_name=\"Data\", info=\"The data to convert to text.\"),\n        MultilineInput(\n            name=\"template\",\n            display_name=\"Template\",\n            info=\"The template to use for formatting the data. It can contain the keys {text}, {data} or any other key in the Data.\",\n            value=\"{text}\",\n        ),\n        StrInput(name=\"sep\", display_name=\"Separator\", advanced=True, value=\"\\n\"),\n    ]\n\n    outputs = [\n        Output(display_name=\"Text\", name=\"text\", method=\"parse_data\"),\n    ]\n\n    def parse_data(self) -> Message:\n        data = self.data if isinstance(self.data, list) else [self.data]\n        template = self.template\n\n        result_string = data_to_text(template, data, sep=self.sep)\n        self.status = result_string\n        return Message(text=result_string)\n"
+              },
+              "data": {
+                "advanced": false,
+                "display_name": "Data",
+                "dynamic": false,
+                "info": "The data to convert to text.",
+                "input_types": [
+                  "Data"
+                ],
+                "list": false,
+                "name": "data",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "other",
+                "value": ""
+              },
+              "sep": {
+                "advanced": true,
+                "display_name": "Separator",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "sep",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "---"
+              },
+              "template": {
+                "advanced": false,
+                "display_name": "Template",
+                "dynamic": false,
+                "info": "The template to use for formatting the data. It can contain the keys {text}, {data} or any other key in the Data.",
+                "multiline": true,
+                "name": "template",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "{text}"
+              }
+            }
+          },
+          "type": "ParseData"
+        },
+        "dragging": false,
+        "height": 377,
+        "id": "ParseData-O4Tzh",
+        "position": {
+          "x": 759.575501198118,
+          "y": 760.6953079067359
+        },
+        "positionAbsolute": {
+          "x": 759.575501198118,
+          "y": 760.6953079067359
+        },
+        "selected": false,
+        "type": "genericNode",
+        "width": 384
+      },
+      {
+        "data": {
+          "description": "Generates text using OpenAI LLMs.",
+          "display_name": "OpenAI",
+          "edited": false,
+          "id": "OpenAIModel-hVXLt",
+          "node": {
+            "base_classes": [
+              "LanguageModel",
+              "Message"
+            ],
+            "beta": false,
+            "conditional_paths": [],
+            "custom_fields": {},
+            "description": "Generates text using OpenAI LLMs.",
+            "display_name": "OpenAI",
+            "documentation": "",
+            "edited": true,
+            "field_order": [
+              "input_value",
+              "max_tokens",
+              "model_kwargs",
+              "output_schema",
+              "model_name",
+              "openai_api_base",
+              "openai_api_key",
+              "temperature",
+              "stream",
+              "system_message",
+              "seed"
+            ],
+            "frozen": false,
+            "icon": "OpenAI",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Text",
+                "hidden": false,
+                "method": "text_response",
+                "name": "text_output",
+                "selected": "Message",
+                "types": [
+                  "Message"
+                ],
+                "value": "__UNDEFINED__"
+              },
+              {
+                "cache": true,
+                "display_name": "Language Model",
+                "method": "build_model",
+                "name": "model_output",
+                "selected": "LanguageModel",
+                "types": [
+                  "LanguageModel"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "pinned": false,
+            "template": {
+              "_type": "Component",
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "import operator\nfrom functools import reduce\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import LanguageModel\nfrom langflow.inputs import (\n    BoolInput,\n    DictInput,\n    DropdownInput,\n    FloatInput,\n    IntInput,\n    MessageInput,\n    SecretStrInput,\n    StrInput,\n)\n\n\nclass OpenAIModelComponent(LCModelComponent):\n    display_name = \"OpenAI\"\n    description = \"Generates text using OpenAI LLMs.\"\n    icon = \"OpenAI\"\n\n    inputs = [\n        MessageInput(name=\"input_value\", display_name=\"Input\"),\n        IntInput(\n            name=\"max_tokens\",\n            display_name=\"Max Tokens\",\n            advanced=True,\n            info=\"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n        ),\n        DictInput(name=\"model_kwargs\", display_name=\"Model Kwargs\", advanced=True),\n        DictInput(\n            name=\"output_schema\",\n            is_list=True,\n            display_name=\"Schema\",\n            advanced=True,\n            info=\"The schema for the Output of the model. You must pass the word JSON in the prompt. If left blank, JSON mode will be disabled.\",\n        ),\n        DropdownInput(\n            name=\"model_name\", display_name=\"Model Name\", advanced=False, options=MODEL_NAMES, value=MODEL_NAMES[0]\n        ),\n        StrInput(\n            name=\"openai_api_base\",\n            display_name=\"OpenAI API Base\",\n            advanced=True,\n            info=\"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1. You can change this to use other APIs like JinaChat, LocalAI and Prem.\",\n        ),\n        SecretStrInput(\n            name=\"openai_api_key\",\n            display_name=\"OpenAI API Key\",\n            info=\"The OpenAI API Key to use for the OpenAI model.\",\n            advanced=False,\n            value=\"OPENAI_API_KEY\",\n        ),\n        FloatInput(name=\"temperature\", display_name=\"Temperature\", value=0.1),\n        BoolInput(name=\"stream\", display_name=\"Stream\", info=STREAM_INFO_TEXT, advanced=True),\n        StrInput(\n            name=\"system_message\",\n            display_name=\"System Message\",\n            info=\"System message to pass to the model.\",\n            advanced=True,\n        ),\n        IntInput(\n            name=\"seed\",\n            display_name=\"Seed\",\n            info=\"The seed controls the reproducibility of the job.\",\n            advanced=True,\n            value=1,\n        ),\n    ]\n\n    def build_model(self) -> LanguageModel:\n        # self.output_schea is a list of dictionaries\n        # let's convert it to a dictionary\n        output_schema_dict: dict[str, str] = reduce(operator.ior, self.output_schema or {}, {})\n        openai_api_key = self.openai_api_key\n        temperature = self.temperature\n        model_name: str = self.model_name\n        max_tokens = self.max_tokens\n        model_kwargs = self.model_kwargs or {}\n        openai_api_base = self.openai_api_base or \"https://api.openai.com/v1\"\n        json_mode = bool(output_schema_dict)\n        seed = self.seed\n        model_kwargs[\"seed\"] = seed\n\n        if openai_api_key:\n            api_key = SecretStr(openai_api_key)\n        else:\n            api_key = None\n        output = ChatOpenAI(\n            max_tokens=max_tokens or None,\n            model_kwargs=model_kwargs,\n            model=model_name,\n            base_url=openai_api_base,\n            api_key=api_key,\n            temperature=temperature or 0.1,\n        )\n        if json_mode:\n            output = output.with_structured_output(schema=output_schema_dict, method=\"json_mode\")  # type: ignore\n\n        return output\n\n    def _get_exception_message(self, e: Exception):\n        \"\"\"\n        Get a message from an OpenAI exception.\n\n        Args:\n            exception (Exception): The exception to get the message from.\n\n        Returns:\n            str: The message from the exception.\n        \"\"\"\n\n        try:\n            from openai import BadRequestError\n        except ImportError:\n            return\n        if isinstance(e, BadRequestError):\n            message = e.body.get(\"message\")  # type: ignore\n            if message:\n                return message\n        return\n"
+              },
+              "input_value": {
+                "advanced": false,
+                "display_name": "Input",
+                "dynamic": false,
+                "info": "",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "input_value",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "max_tokens": {
+                "advanced": true,
+                "display_name": "Max Tokens",
+                "dynamic": false,
+                "info": "The maximum number of tokens to generate. Set to 0 for unlimited tokens.",
+                "list": false,
+                "name": "max_tokens",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": ""
+              },
+              "model_kwargs": {
+                "advanced": true,
+                "display_name": "Model Kwargs",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "model_kwargs",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "dict",
+                "value": {}
+              },
+              "model_name": {
+                "advanced": false,
+                "display_name": "Model Name",
+                "dynamic": false,
+                "info": "",
+                "name": "model_name",
+                "options": [
+                  "gpt-4o",
+                  "gpt-4-turbo",
+                  "gpt-4-turbo-preview",
+                  "gpt-3.5-turbo",
+                  "gpt-3.5-turbo-0125"
+                ],
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "gpt-4-turbo"
+              },
+              "openai_api_base": {
+                "advanced": true,
+                "display_name": "OpenAI API Base",
+                "dynamic": false,
+                "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1. You can change this to use other APIs like JinaChat, LocalAI and Prem.",
+                "list": false,
+                "load_from_db": false,
+                "name": "openai_api_base",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "openai_api_key": {
+                "advanced": false,
+                "display_name": "OpenAI API Key",
+                "dynamic": false,
+                "info": "The OpenAI API Key to use for the OpenAI model.",
+                "input_types": [],
+                "load_from_db": false,
+                "name": "openai_api_key",
+                "password": true,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "output_schema": {
+                "advanced": true,
+                "display_name": "Schema",
+                "dynamic": false,
+                "info": "The schema for the Output of the model. You must pass the word JSON in the prompt. If left blank, JSON mode will be disabled.",
+                "list": true,
+                "name": "output_schema",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "dict",
+                "value": {}
+              },
+              "seed": {
+                "advanced": true,
+                "display_name": "Seed",
+                "dynamic": false,
+                "info": "The seed controls the reproducibility of the job.",
+                "list": false,
+                "name": "seed",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": 1
+              },
+              "stream": {
+                "advanced": false,
+                "display_name": "Stream",
+                "dynamic": false,
+                "info": "Stream the response from the model. Streaming works only in Chat.",
+                "list": false,
+                "name": "stream",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "bool",
+                "value": true
+              },
+              "system_message": {
+                "advanced": true,
+                "display_name": "System Message",
+                "dynamic": false,
+                "info": "System message to pass to the model.",
+                "list": false,
+                "load_from_db": false,
+                "name": "system_message",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "temperature": {
+                "advanced": false,
+                "display_name": "Temperature",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "temperature",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "float",
+                "value": 0.1
+              }
+            }
+          },
+          "type": "OpenAIModel"
+        },
+        "dragging": false,
+        "height": 699,
+        "id": "OpenAIModel-hVXLt",
+        "position": {
+          "x": 1918.8991680862073,
+          "y": 459.92681406971394
+        },
+        "positionAbsolute": {
+          "x": 1918.8991680862073,
+          "y": 459.92681406971394
+        },
+        "selected": true,
+        "type": "genericNode",
+        "width": 384
+      },
+      {
+        "data": {
+          "description": "Display a chat message in the Playground.",
+          "display_name": "Chat Output",
+          "edited": false,
+          "id": "ChatOutput-HrMHH",
+          "node": {
+            "base_classes": [
+              "Message"
+            ],
+            "beta": false,
+            "conditional_paths": [],
+            "custom_fields": {},
+            "description": "Display a chat message in the Playground.",
+            "display_name": "Chat Output",
+            "documentation": "",
+            "edited": true,
+            "field_order": [
+              "input_value",
+              "sender",
+              "sender_name",
+              "session_id",
+              "data_template"
+            ],
+            "frozen": false,
+            "icon": "ChatOutput",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Message",
+                "method": "message_response",
+                "name": "message",
+                "selected": "Message",
+                "types": [
+                  "Message"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "pinned": false,
+            "template": {
+              "_type": "Component",
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.schema.message import Message\n\n\nclass ChatOutput(ChatComponent):\n    display_name = \"Chat Output\"\n    description = \"Display a chat message in the Playground.\"\n    icon = \"ChatOutput\"\n\n    inputs = [\n        MessageTextInput(\n            name=\"input_value\",\n            display_name=\"Text\",\n            info=\"Message to be passed as output.\",\n        ),\n        DropdownInput(\n            name=\"sender\",\n            display_name=\"Sender Type\",\n            options=[\"Machine\", \"User\"],\n            value=\"Machine\",\n            advanced=True,\n            info=\"Type of sender.\",\n        ),\n        MessageTextInput(\n            name=\"sender_name\", display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\", advanced=True\n        ),\n        MessageTextInput(\n            name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n        ),\n        MessageTextInput(\n            name=\"data_template\",\n            display_name=\"Data Template\",\n            value=\"{text}\",\n            advanced=True,\n            info=\"Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.\",\n        ),\n    ]\n    outputs = [\n        Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n    ]\n\n    def message_response(self) -> Message:\n        message = Message(\n            text=self.input_value,\n            sender=self.sender,\n            sender_name=self.sender_name,\n            session_id=self.session_id,\n        )\n        if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n            self.store_message(message)\n            self.message.value = message\n\n        self.status = message\n        return message\n"
+              },
+              "data_template": {
+                "advanced": true,
+                "display_name": "Data Template",
+                "dynamic": false,
+                "info": "Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "data_template",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": "{text}"
+              },
+              "input_value": {
+                "advanced": false,
+                "display_name": "Text",
+                "dynamic": false,
+                "info": "Message to be passed as output.",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "input_value",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": ""
+              },
+              "sender": {
+                "advanced": true,
+                "display_name": "Sender Type",
+                "dynamic": false,
+                "info": "Type of sender.",
+                "name": "sender",
+                "options": [
+                  "Machine",
+                  "User"
+                ],
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": "Machine"
+              },
+              "sender_name": {
+                "advanced": true,
+                "display_name": "Sender Name",
+                "dynamic": false,
+                "info": "Name of the sender.",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "sender_name",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": "AI"
+              },
+              "session_id": {
+                "advanced": true,
+                "display_name": "Session ID",
+                "dynamic": false,
+                "info": "Session ID for the message.",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "session_id",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": ""
+              }
+            }
+          },
+          "type": "ChatOutput"
+        },
+        "dragging": false,
+        "height": 309,
+        "id": "ChatOutput-HrMHH",
+        "position": {
+          "x": 2473.1294450647747,
+          "y": 668.8159913425238
+        },
+        "positionAbsolute": {
+          "x": 2473.1294450647747,
+          "y": 668.8159913425238
+        },
+        "selected": false,
+        "type": "genericNode",
+        "width": 384
+      },
+      {
+        "data": {
+          "description": "Create a prompt template with dynamic variables.",
+          "display_name": "Prompt",
+          "id": "Prompt-kfWwQ",
+          "node": {
+            "base_classes": [
+              "Message"
+            ],
+            "beta": false,
+            "conditional_paths": [],
+            "custom_fields": {
+              "template": [
+                "references",
+                "instructions"
+              ]
+            },
+            "description": "Create a prompt template with dynamic variables.",
+            "display_name": "Prompt",
+            "documentation": "",
+            "edited": false,
+            "error": null,
+            "field_order": [
+              "template"
+            ],
+            "frozen": false,
+            "full_path": null,
+            "icon": "prompts",
+            "is_composition": null,
+            "is_input": null,
+            "is_output": null,
+            "name": "",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Prompt Message",
+                "hidden": false,
+                "method": "build_prompt",
+                "name": "prompt",
+                "selected": "Message",
+                "types": [
+                  "Message"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "pinned": false,
+            "template": {
+              "_type": "Component",
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "from langflow.base.prompts.api_utils import process_prompt_template\nfrom langflow.custom import Component\nfrom langflow.io import Output, PromptInput\nfrom langflow.schema.message import Message\nfrom langflow.template.utils import update_template_values\n\n\nclass PromptComponent(Component):\n    display_name: str = \"Prompt\"\n    description: str = \"Create a prompt template with dynamic variables.\"\n    icon = \"prompts\"\n    trace_type = \"prompt\"\n\n    inputs = [\n        PromptInput(name=\"template\", display_name=\"Template\"),\n    ]\n\n    outputs = [\n        Output(display_name=\"Prompt Message\", name=\"prompt\", method=\"build_prompt\"),\n    ]\n\n    async def build_prompt(\n        self,\n    ) -> Message:\n        prompt = await Message.from_template_and_variables(**self._attributes)\n        self.status = prompt.text\n        return prompt\n\n    def post_code_processing(self, new_build_config: dict, current_build_config: dict):\n        \"\"\"\n        This function is called after the code validation is done.\n        \"\"\"\n        frontend_node = super().post_code_processing(new_build_config, current_build_config)\n        template = frontend_node[\"template\"][\"template\"][\"value\"]\n        _ = process_prompt_template(\n            template=template,\n            name=\"template\",\n            custom_fields=frontend_node[\"custom_fields\"],\n            frontend_node_template=frontend_node[\"template\"],\n        )\n        # Now that template is updated, we need to grab any values that were set in the current_build_config\n        # and update the frontend_node with those values\n        update_template_values(frontend_template=frontend_node, raw_template=current_build_config[\"template\"])\n        return frontend_node\n"
+              },
+              "instructions": {
+                "advanced": false,
+                "display_name": "instructions",
+                "dynamic": false,
+                "field_type": "str",
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "input_types": [
+                  "Message",
+                  "Text"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "instructions",
+                "password": false,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "references": {
+                "advanced": false,
+                "display_name": "references",
+                "dynamic": false,
+                "field_type": "str",
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "input_types": [
+                  "Message",
+                  "Text"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "references",
+                "password": false,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "template": {
+                "advanced": false,
+                "display_name": "Template",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "template",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "type": "prompt",
+                "value": "Reference 1:\n\n{references}\n\n---\n\n{instructions}\n\nBlog: \n\n"
+              }
+            }
+          },
+          "type": "Prompt"
+        },
+        "dragging": false,
+        "height": 517,
+        "id": "Prompt-kfWwQ",
+        "position": {
+          "x": 1288.0925694176524,
+          "y": 519.4286147510747
+        },
+        "positionAbsolute": {
+          "x": 1288.0925694176524,
+          "y": 519.4286147510747
+        },
+        "selected": false,
+        "type": "genericNode",
+        "width": 384
+      },
+      {
+        "data": {
+          "id": "URL-hivMA",
+          "node": {
+            "base_classes": [
+              "Data"
+            ],
+            "beta": false,
+            "conditional_paths": [],
+            "custom_fields": {},
+            "description": "Fetch content from one or more URLs.",
+            "display_name": "URL",
+            "documentation": "",
+            "edited": false,
+            "field_order": [
+              "urls"
+            ],
+            "frozen": false,
+            "icon": "layout-template",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Data",
+                "hidden": false,
+                "method": "fetch_content",
+                "name": "data",
+                "selected": "Data",
+                "types": [
+                  "Data"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "pinned": false,
+            "template": {
+              "_type": "Component",
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "import re\n\nfrom langchain_community.document_loaders.web_base import WebBaseLoader\n\nfrom langflow.custom import Component\nfrom langflow.io import MessageTextInput, Output\nfrom langflow.schema import Data\n\n\nclass URLComponent(Component):\n    display_name = \"URL\"\n    description = \"Fetch content from one or more URLs.\"\n    icon = \"layout-template\"\n\n    inputs = [\n        MessageTextInput(\n            name=\"urls\",\n            display_name=\"URLs\",\n            info=\"Enter one or more URLs, separated by commas.\",\n            is_list=True,\n        ),\n    ]\n\n    outputs = [\n        Output(display_name=\"Data\", name=\"data\", method=\"fetch_content\"),\n    ]\n\n    def ensure_url(self, string: str) -> str:\n        \"\"\"\n        Ensures the given string is a URL by adding 'http://' if it doesn't start with 'http://' or 'https://'.\n        Raises an error if the string is not a valid URL.\n\n        Parameters:\n            string (str): The string to be checked and possibly modified.\n\n        Returns:\n            str: The modified string that is ensured to be a URL.\n\n        Raises:\n            ValueError: If the string is not a valid URL.\n        \"\"\"\n        if not string.startswith((\"http://\", \"https://\")):\n            string = \"http://\" + string\n\n        # Basic URL validation regex\n        url_regex = re.compile(\n            r\"^(https?:\\/\\/)?\"  # optional protocol\n            r\"(www\\.)?\"  # optional www\n            r\"([a-zA-Z0-9.-]+)\"  # domain\n            r\"(\\.[a-zA-Z]{2,})?\"  # top-level domain\n            r\"(:\\d+)?\"  # optional port\n            r\"(\\/[^\\s]*)?$\",  # optional path\n            re.IGNORECASE,\n        )\n\n        if not url_regex.match(string):\n            raise ValueError(f\"Invalid URL: {string}\")\n\n        return string\n\n    def fetch_content(self) -> list[Data]:\n        urls = [self.ensure_url(url.strip()) for url in self.urls if url.strip()]\n        loader = WebBaseLoader(web_paths=urls, encoding=\"utf-8\")\n        docs = loader.load()\n        data = [Data(text=doc.page_content, **doc.metadata) for doc in docs]\n        self.status = data\n        return data\n"
+              },
+              "urls": {
+                "advanced": false,
+                "display_name": "URLs",
+                "dynamic": false,
+                "info": "Enter one or more URLs, separated by commas.",
+                "input_types": [
+                  "Message"
+                ],
+                "list": true,
+                "load_from_db": false,
+                "name": "urls",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": [
+                  "langflow.org",
+                  "docs.langflow.org/"
+                ]
+              }
+            }
+          },
+          "type": "URL"
+        },
+        "height": 359,
+        "id": "URL-hivMA",
+        "position": {
+          "x": 247.90599789054627,
+          "y": 514.1589932671732
+        },
+        "selected": false,
+        "type": "genericNode",
+        "width": 384
+      }
+    ],
+    "viewport": {
+      "x": -75.20072339134504,
+      "y": -30.25319522994951,
+      "zoom": 0.4742390893506119
+    }
+  },
+  "description": "This flow can be used to create a blog post following instructions from the user, using two other blogs as reference.",
+  "endpoint_name": null,
+  "id": "26f5bcac-db01-4696-87dc-f7b38afc74ee",
+  "is_component": false,
+  "last_tested_version": "1.0.0rc1",
+  "name": "Blog Writer"
+}
\ No newline at end of file
diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Document QA.json b/src/backend/base/langflow/initial_setup/starter_projects/Document QA.json
new file mode 100644
index 00000000000..cdfacf1c7a4
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/starter_projects/Document QA.json	
@@ -0,0 +1,1205 @@
+{
+  "data": {
+    "edges": [
+      {
+        "className": "",
+        "data": {
+          "sourceHandle": {
+            "dataType": "File",
+            "id": "File-31fJd",
+            "name": "data",
+            "output_types": [
+              "Data"
+            ]
+          },
+          "targetHandle": {
+            "fieldName": "data",
+            "id": "ParseData-rLcoq",
+            "inputTypes": [
+              "Data"
+            ],
+            "type": "other"
+          }
+        },
+        "id": "reactflow__edge-File-31fJd{œdataTypeœ:œFileœ,œidœ:œFile-31fJdœ,œnameœ:œdataœ,œoutput_typesœ:[œDataœ]}-ParseData-rLcoq{œfieldNameœ:œdataœ,œidœ:œParseData-rLcoqœ,œinputTypesœ:[œDataœ],œtypeœ:œotherœ}",
+        "source": "File-31fJd",
+        "sourceHandle": "{œdataTypeœ: œFileœ, œidœ: œFile-31fJdœ, œnameœ: œdataœ, œoutput_typesœ: [œDataœ]}",
+        "target": "ParseData-rLcoq",
+        "targetHandle": "{œfieldNameœ: œdataœ, œidœ: œParseData-rLcoqœ, œinputTypesœ: [œDataœ], œtypeœ: œotherœ}"
+      },
+      {
+        "className": "",
+        "data": {
+          "sourceHandle": {
+            "dataType": "ParseData",
+            "id": "ParseData-rLcoq",
+            "name": "text",
+            "output_types": [
+              "Message"
+            ]
+          },
+          "targetHandle": {
+            "fieldName": "Document",
+            "id": "Prompt-L1GxH",
+            "inputTypes": [
+              "Message",
+              "Text"
+            ],
+            "type": "str"
+          }
+        },
+        "id": "reactflow__edge-ParseData-rLcoq{œdataTypeœ:œParseDataœ,œidœ:œParseData-rLcoqœ,œnameœ:œtextœ,œoutput_typesœ:[œMessageœ]}-Prompt-L1GxH{œfieldNameœ:œDocumentœ,œidœ:œPrompt-L1GxHœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}",
+        "source": "ParseData-rLcoq",
+        "sourceHandle": "{œdataTypeœ: œParseDataœ, œidœ: œParseData-rLcoqœ, œnameœ: œtextœ, œoutput_typesœ: [œMessageœ]}",
+        "target": "Prompt-L1GxH",
+        "targetHandle": "{œfieldNameœ: œDocumentœ, œidœ: œPrompt-L1GxHœ, œinputTypesœ: [œMessageœ, œTextœ], œtypeœ: œstrœ}"
+      },
+      {
+        "className": "",
+        "data": {
+          "sourceHandle": {
+            "dataType": "ChatInput",
+            "id": "ChatInput-RuLDX",
+            "name": "message",
+            "output_types": [
+              "Message"
+            ]
+          },
+          "targetHandle": {
+            "fieldName": "Question",
+            "id": "Prompt-L1GxH",
+            "inputTypes": [
+              "Message",
+              "Text"
+            ],
+            "type": "str"
+          }
+        },
+        "id": "reactflow__edge-ChatInput-RuLDX{œdataTypeœ:œChatInputœ,œidœ:œChatInput-RuLDXœ,œnameœ:œmessageœ,œoutput_typesœ:[œMessageœ]}-Prompt-L1GxH{œfieldNameœ:œQuestionœ,œidœ:œPrompt-L1GxHœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}",
+        "source": "ChatInput-RuLDX",
+        "sourceHandle": "{œdataTypeœ: œChatInputœ, œidœ: œChatInput-RuLDXœ, œnameœ: œmessageœ, œoutput_typesœ: [œMessageœ]}",
+        "target": "Prompt-L1GxH",
+        "targetHandle": "{œfieldNameœ: œQuestionœ, œidœ: œPrompt-L1GxHœ, œinputTypesœ: [œMessageœ, œTextœ], œtypeœ: œstrœ}"
+      },
+      {
+        "className": "",
+        "data": {
+          "sourceHandle": {
+            "dataType": "Prompt",
+            "id": "Prompt-L1GxH",
+            "name": "prompt",
+            "output_types": [
+              "Message"
+            ]
+          },
+          "targetHandle": {
+            "fieldName": "input_value",
+            "id": "OpenAIModel-4ptCk",
+            "inputTypes": [
+              "Message"
+            ],
+            "type": "str"
+          }
+        },
+        "id": "reactflow__edge-Prompt-L1GxH{œdataTypeœ:œPromptœ,œidœ:œPrompt-L1GxHœ,œnameœ:œpromptœ,œoutput_typesœ:[œMessageœ]}-OpenAIModel-4ptCk{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-4ptCkœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
+        "source": "Prompt-L1GxH",
+        "sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-L1GxHœ, œnameœ: œpromptœ, œoutput_typesœ: [œMessageœ]}",
+        "target": "OpenAIModel-4ptCk",
+        "targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œOpenAIModel-4ptCkœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
+      },
+      {
+        "className": "",
+        "data": {
+          "sourceHandle": {
+            "dataType": "OpenAIModel",
+            "id": "OpenAIModel-4ptCk",
+            "name": "text_output",
+            "output_types": [
+              "Message"
+            ]
+          },
+          "targetHandle": {
+            "fieldName": "input_value",
+            "id": "ChatOutput-DYHPP",
+            "inputTypes": [
+              "Message"
+            ],
+            "type": "str"
+          }
+        },
+        "id": "reactflow__edge-OpenAIModel-4ptCk{œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-4ptCkœ,œnameœ:œtext_outputœ,œoutput_typesœ:[œMessageœ]}-ChatOutput-DYHPP{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-DYHPPœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
+        "source": "OpenAIModel-4ptCk",
+        "sourceHandle": "{œdataTypeœ: œOpenAIModelœ, œidœ: œOpenAIModel-4ptCkœ, œnameœ: œtext_outputœ, œoutput_typesœ: [œMessageœ]}",
+        "target": "ChatOutput-DYHPP",
+        "targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œChatOutput-DYHPPœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
+      }
+    ],
+    "nodes": [
+      {
+        "data": {
+          "description": "Get chat inputs from the Playground.",
+          "display_name": "Chat Input",
+          "edited": false,
+          "id": "ChatInput-RuLDX",
+          "node": {
+            "base_classes": [
+              "Message"
+            ],
+            "beta": false,
+            "conditional_paths": [],
+            "custom_fields": {},
+            "description": "Get chat inputs from the Playground.",
+            "display_name": "Chat Input",
+            "documentation": "",
+            "edited": true,
+            "field_order": [
+              "input_value",
+              "sender",
+              "sender_name",
+              "session_id",
+              "files"
+            ],
+            "frozen": false,
+            "icon": "ChatInput",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Message",
+                "hidden": false,
+                "method": "message_response",
+                "name": "message",
+                "selected": "Message",
+                "types": [
+                  "Message"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "pinned": false,
+            "template": {
+              "_type": "Component",
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.io import DropdownInput, FileInput, MessageTextInput, MultilineInput, Output\nfrom langflow.schema.message import Message\n\n\nclass ChatInput(ChatComponent):\n    display_name = \"Chat Input\"\n    description = \"Get chat inputs from the Playground.\"\n    icon = \"ChatInput\"\n\n    inputs = [\n        MultilineInput(\n            name=\"input_value\",\n            display_name=\"Text\",\n            value=\"\",\n            info=\"Message to be passed as input.\",\n        ),\n        DropdownInput(\n            name=\"sender\",\n            display_name=\"Sender Type\",\n            options=[\"Machine\", \"User\"],\n            value=\"User\",\n            info=\"Type of sender.\",\n            advanced=True,\n        ),\n        MessageTextInput(\n            name=\"sender_name\",\n            display_name=\"Sender Name\",\n            info=\"Name of the sender.\",\n            value=\"User\",\n            advanced=True,\n        ),\n        MessageTextInput(\n            name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n        ),\n        FileInput(\n            name=\"files\",\n            display_name=\"Files\",\n            file_types=TEXT_FILE_TYPES + IMG_FILE_TYPES,\n            info=\"Files to be sent with the message.\",\n            advanced=True,\n            is_list=True,\n        ),\n    ]\n    outputs = [\n        Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n    ]\n\n    def message_response(self) -> Message:\n        message = Message(\n            text=self.input_value,\n            sender=self.sender,\n            sender_name=self.sender_name,\n            session_id=self.session_id,\n            files=self.files,\n        )\n        if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n            self.store_message(message)\n            self.message.value = message\n\n        self.status = message\n        return message\n"
+              },
+              "files": {
+                "advanced": true,
+                "display_name": "Files",
+                "dynamic": false,
+                "fileTypes": [
+                  "txt",
+                  "md",
+                  "mdx",
+                  "csv",
+                  "json",
+                  "yaml",
+                  "yml",
+                  "xml",
+                  "html",
+                  "htm",
+                  "pdf",
+                  "docx",
+                  "py",
+                  "sh",
+                  "sql",
+                  "js",
+                  "ts",
+                  "tsx",
+                  "jpg",
+                  "jpeg",
+                  "png",
+                  "bmp",
+                  "image"
+                ],
+                "file_path": "",
+                "info": "Files to be sent with the message.",
+                "list": true,
+                "name": "files",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_metadata": true,
+                "type": "file",
+                "value": ""
+              },
+              "input_value": {
+                "advanced": false,
+                "display_name": "Text",
+                "dynamic": false,
+                "info": "Message to be passed as input.",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "input_value",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": ""
+              },
+              "sender": {
+                "advanced": true,
+                "display_name": "Sender Type",
+                "dynamic": false,
+                "info": "Type of sender.",
+                "name": "sender",
+                "options": [
+                  "Machine",
+                  "User"
+                ],
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": "User"
+              },
+              "sender_name": {
+                "advanced": true,
+                "display_name": "Sender Name",
+                "dynamic": false,
+                "info": "Name of the sender.",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "sender_name",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": "User"
+              },
+              "session_id": {
+                "advanced": true,
+                "display_name": "Session ID",
+                "dynamic": false,
+                "info": "Session ID for the message.",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "session_id",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": ""
+              }
+            }
+          },
+          "type": "ChatInput"
+        },
+        "dragging": false,
+        "height": 309,
+        "id": "ChatInput-RuLDX",
+        "position": {
+          "x": -201.55524461361745,
+          "y": 411.67283602771283
+        },
+        "positionAbsolute": {
+          "x": -201.55524461361745,
+          "y": 411.67283602771283
+        },
+        "selected": false,
+        "type": "genericNode",
+        "width": 384
+      },
+      {
+        "data": {
+          "description": "Display a chat message in the Playground.",
+          "display_name": "Chat Output",
+          "edited": false,
+          "id": "ChatOutput-DYHPP",
+          "node": {
+            "base_classes": [
+              "Message"
+            ],
+            "beta": false,
+            "conditional_paths": [],
+            "custom_fields": {},
+            "description": "Display a chat message in the Playground.",
+            "display_name": "Chat Output",
+            "documentation": "",
+            "edited": true,
+            "field_order": [
+              "input_value",
+              "sender",
+              "sender_name",
+              "session_id",
+              "data_template"
+            ],
+            "frozen": false,
+            "icon": "ChatOutput",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Message",
+                "method": "message_response",
+                "name": "message",
+                "selected": "Message",
+                "types": [
+                  "Message"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "pinned": false,
+            "template": {
+              "_type": "Component",
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.schema.message import Message\n\n\nclass ChatOutput(ChatComponent):\n    display_name = \"Chat Output\"\n    description = \"Display a chat message in the Playground.\"\n    icon = \"ChatOutput\"\n\n    inputs = [\n        MessageTextInput(\n            name=\"input_value\",\n            display_name=\"Text\",\n            info=\"Message to be passed as output.\",\n        ),\n        DropdownInput(\n            name=\"sender\",\n            display_name=\"Sender Type\",\n            options=[\"Machine\", \"User\"],\n            value=\"Machine\",\n            advanced=True,\n            info=\"Type of sender.\",\n        ),\n        MessageTextInput(\n            name=\"sender_name\", display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\", advanced=True\n        ),\n        MessageTextInput(\n            name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n        ),\n        MessageTextInput(\n            name=\"data_template\",\n            display_name=\"Data Template\",\n            value=\"{text}\",\n            advanced=True,\n            info=\"Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.\",\n        ),\n    ]\n    outputs = [\n        Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n    ]\n\n    def message_response(self) -> Message:\n        message = Message(\n            text=self.input_value,\n            sender=self.sender,\n            sender_name=self.sender_name,\n            session_id=self.session_id,\n        )\n        if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n            self.store_message(message)\n            self.message.value = message\n\n        self.status = message\n        return message\n"
+              },
+              "data_template": {
+                "advanced": true,
+                "display_name": "Data Template",
+                "dynamic": false,
+                "info": "Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "data_template",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": "{text}"
+              },
+              "input_value": {
+                "advanced": false,
+                "display_name": "Text",
+                "dynamic": false,
+                "info": "Message to be passed as output.",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "input_value",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": ""
+              },
+              "sender": {
+                "advanced": true,
+                "display_name": "Sender Type",
+                "dynamic": false,
+                "info": "Type of sender.",
+                "name": "sender",
+                "options": [
+                  "Machine",
+                  "User"
+                ],
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": "Machine"
+              },
+              "sender_name": {
+                "advanced": true,
+                "display_name": "Sender Name",
+                "dynamic": false,
+                "info": "Name of the sender.",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "sender_name",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": "AI"
+              },
+              "session_id": {
+                "advanced": true,
+                "display_name": "Session ID",
+                "dynamic": false,
+                "info": "Session ID for the message.",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "session_id",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": ""
+              }
+            }
+          },
+          "type": "ChatOutput"
+        },
+        "dragging": false,
+        "height": 308,
+        "id": "ChatOutput-DYHPP",
+        "position": {
+          "x": 1733.3012915204283,
+          "y": 168.76098809939327
+        },
+        "positionAbsolute": {
+          "x": 1733.3012915204283,
+          "y": 168.76098809939327
+        },
+        "selected": false,
+        "type": "genericNode",
+        "width": 384
+      },
+      {
+        "data": {
+          "description": "A generic file loader.",
+          "display_name": "File",
+          "id": "File-31fJd",
+          "node": {
+            "base_classes": [
+              "Data"
+            ],
+            "beta": false,
+            "conditional_paths": [],
+            "custom_fields": {},
+            "description": "A generic file loader.",
+            "display_name": "File",
+            "documentation": "",
+            "edited": false,
+            "field_order": [
+              "path",
+              "silent_errors"
+            ],
+            "frozen": false,
+            "icon": "file-text",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Data",
+                "hidden": false,
+                "method": "load_file",
+                "name": "data",
+                "selected": "Data",
+                "types": [
+                  "Data"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "pinned": false,
+            "template": {
+              "_type": "Component",
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "from pathlib import Path\n\nfrom langflow.base.data.utils import TEXT_FILE_TYPES, parse_text_file_to_data\nfrom langflow.custom import Component\nfrom langflow.io import BoolInput, FileInput, Output\nfrom langflow.schema import Data\n\n\nclass FileComponent(Component):\n    display_name = \"File\"\n    description = \"A generic file loader.\"\n    icon = \"file-text\"\n\n    inputs = [\n        FileInput(\n            name=\"path\",\n            display_name=\"Path\",\n            file_types=TEXT_FILE_TYPES,\n            info=f\"Supported file types: {', '.join(TEXT_FILE_TYPES)}\",\n        ),\n        BoolInput(\n            name=\"silent_errors\",\n            display_name=\"Silent Errors\",\n            advanced=True,\n            info=\"If true, errors will not raise an exception.\",\n        ),\n    ]\n\n    outputs = [\n        Output(display_name=\"Data\", name=\"data\", method=\"load_file\"),\n    ]\n\n    def load_file(self) -> Data:\n        if not self.path:\n            raise ValueError(\"Please, upload a file to use this component.\")\n        resolved_path = self.resolve_path(self.path)\n        silent_errors = self.silent_errors\n\n        extension = Path(resolved_path).suffix[1:].lower()\n\n        if extension == \"doc\":\n            raise ValueError(\"doc files are not supported. Please save as .docx\")\n        if extension not in TEXT_FILE_TYPES:\n            raise ValueError(f\"Unsupported file type: {extension}\")\n\n        data = parse_text_file_to_data(resolved_path, silent_errors)\n        self.status = data if data else \"No data\"\n        return data or Data()\n"
+              },
+              "path": {
+                "advanced": false,
+                "display_name": "Path",
+                "dynamic": false,
+                "fileTypes": [
+                  "txt",
+                  "md",
+                  "mdx",
+                  "csv",
+                  "json",
+                  "yaml",
+                  "yml",
+                  "xml",
+                  "html",
+                  "htm",
+                  "pdf",
+                  "docx",
+                  "py",
+                  "sh",
+                  "sql",
+                  "js",
+                  "ts",
+                  "tsx"
+                ],
+                "file_path": "860235bc-cb3e-4576-8a52-afd711f4f138/IMKL24_Speaker Invitation_Rodrigo.pdf",
+                "info": "Supported file types: txt, md, mdx, csv, json, yaml, yml, xml, html, htm, pdf, docx, py, sh, sql, js, ts, tsx",
+                "list": false,
+                "name": "path",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "file",
+                "value": ""
+              },
+              "silent_errors": {
+                "advanced": true,
+                "display_name": "Silent Errors",
+                "dynamic": false,
+                "info": "If true, errors will not raise an exception.",
+                "list": false,
+                "name": "silent_errors",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "bool",
+                "value": false
+              }
+            }
+          },
+          "type": "File"
+        },
+        "dragging": false,
+        "height": 301,
+        "id": "File-31fJd",
+        "position": {
+          "x": -423.1448900251602,
+          "y": -230.83411538932458
+        },
+        "positionAbsolute": {
+          "x": -423.1448900251602,
+          "y": -230.83411538932458
+        },
+        "selected": false,
+        "type": "genericNode",
+        "width": 384
+      },
+      {
+        "data": {
+          "description": "Generates text using OpenAI LLMs.",
+          "display_name": "OpenAI",
+          "edited": false,
+          "id": "OpenAIModel-4ptCk",
+          "node": {
+            "base_classes": [
+              "LanguageModel",
+              "Message"
+            ],
+            "beta": false,
+            "conditional_paths": [],
+            "custom_fields": {},
+            "description": "Generates text using OpenAI LLMs.",
+            "display_name": "OpenAI",
+            "documentation": "",
+            "edited": true,
+            "field_order": [
+              "input_value",
+              "max_tokens",
+              "model_kwargs",
+              "output_schema",
+              "model_name",
+              "openai_api_base",
+              "openai_api_key",
+              "temperature",
+              "stream",
+              "system_message",
+              "seed"
+            ],
+            "frozen": false,
+            "icon": "OpenAI",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Text",
+                "hidden": false,
+                "method": "text_response",
+                "name": "text_output",
+                "selected": "Message",
+                "types": [
+                  "Message"
+                ],
+                "value": "__UNDEFINED__"
+              },
+              {
+                "cache": true,
+                "display_name": "Language Model",
+                "method": "build_model",
+                "name": "model_output",
+                "selected": "LanguageModel",
+                "types": [
+                  "LanguageModel"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "pinned": false,
+            "template": {
+              "_type": "Component",
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "import operator\nfrom functools import reduce\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import LanguageModel\nfrom langflow.inputs import (\n    BoolInput,\n    DictInput,\n    DropdownInput,\n    FloatInput,\n    IntInput,\n    MessageInput,\n    SecretStrInput,\n    StrInput,\n)\n\n\nclass OpenAIModelComponent(LCModelComponent):\n    display_name = \"OpenAI\"\n    description = \"Generates text using OpenAI LLMs.\"\n    icon = \"OpenAI\"\n\n    inputs = [\n        MessageInput(name=\"input_value\", display_name=\"Input\"),\n        IntInput(\n            name=\"max_tokens\",\n            display_name=\"Max Tokens\",\n            advanced=True,\n            info=\"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n        ),\n        DictInput(name=\"model_kwargs\", display_name=\"Model Kwargs\", advanced=True),\n        DictInput(\n            name=\"output_schema\",\n            is_list=True,\n            display_name=\"Schema\",\n            advanced=True,\n            info=\"The schema for the Output of the model. You must pass the word JSON in the prompt. If left blank, JSON mode will be disabled.\",\n        ),\n        DropdownInput(\n            name=\"model_name\", display_name=\"Model Name\", advanced=False, options=MODEL_NAMES, value=MODEL_NAMES[0]\n        ),\n        StrInput(\n            name=\"openai_api_base\",\n            display_name=\"OpenAI API Base\",\n            advanced=True,\n            info=\"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1. You can change this to use other APIs like JinaChat, LocalAI and Prem.\",\n        ),\n        SecretStrInput(\n            name=\"openai_api_key\",\n            display_name=\"OpenAI API Key\",\n            info=\"The OpenAI API Key to use for the OpenAI model.\",\n            advanced=False,\n            value=\"OPENAI_API_KEY\",\n        ),\n        FloatInput(name=\"temperature\", display_name=\"Temperature\", value=0.1),\n        BoolInput(name=\"stream\", display_name=\"Stream\", info=STREAM_INFO_TEXT, advanced=True),\n        StrInput(\n            name=\"system_message\",\n            display_name=\"System Message\",\n            info=\"System message to pass to the model.\",\n            advanced=True,\n        ),\n        IntInput(\n            name=\"seed\",\n            display_name=\"Seed\",\n            info=\"The seed controls the reproducibility of the job.\",\n            advanced=True,\n            value=1,\n        ),\n    ]\n\n    def build_model(self) -> LanguageModel:\n        # self.output_schea is a list of dictionaries\n        # let's convert it to a dictionary\n        output_schema_dict: dict[str, str] = reduce(operator.ior, self.output_schema or {}, {})\n        openai_api_key = self.openai_api_key\n        temperature = self.temperature\n        model_name: str = self.model_name\n        max_tokens = self.max_tokens\n        model_kwargs = self.model_kwargs or {}\n        openai_api_base = self.openai_api_base or \"https://api.openai.com/v1\"\n        json_mode = bool(output_schema_dict)\n        seed = self.seed\n        model_kwargs[\"seed\"] = seed\n\n        if openai_api_key:\n            api_key = SecretStr(openai_api_key)\n        else:\n            api_key = None\n        output = ChatOpenAI(\n            max_tokens=max_tokens or None,\n            model_kwargs=model_kwargs,\n            model=model_name,\n            base_url=openai_api_base,\n            api_key=api_key,\n            temperature=temperature or 0.1,\n        )\n        if json_mode:\n            output = output.with_structured_output(schema=output_schema_dict, method=\"json_mode\")  # type: ignore\n\n        return output\n\n    def _get_exception_message(self, e: Exception):\n        \"\"\"\n        Get a message from an OpenAI exception.\n\n        Args:\n            exception (Exception): The exception to get the message from.\n\n        Returns:\n            str: The message from the exception.\n        \"\"\"\n\n        try:\n            from openai import BadRequestError\n        except ImportError:\n            return\n        if isinstance(e, BadRequestError):\n            message = e.body.get(\"message\")  # type: ignore\n            if message:\n                return message\n        return\n"
+              },
+              "input_value": {
+                "advanced": false,
+                "display_name": "Input",
+                "dynamic": false,
+                "info": "",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "input_value",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "max_tokens": {
+                "advanced": true,
+                "display_name": "Max Tokens",
+                "dynamic": false,
+                "info": "The maximum number of tokens to generate. Set to 0 for unlimited tokens.",
+                "list": false,
+                "name": "max_tokens",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": ""
+              },
+              "model_kwargs": {
+                "advanced": true,
+                "display_name": "Model Kwargs",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "model_kwargs",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "dict",
+                "value": {}
+              },
+              "model_name": {
+                "advanced": false,
+                "display_name": "Model Name",
+                "dynamic": false,
+                "info": "",
+                "name": "model_name",
+                "options": [
+                  "gpt-4o",
+                  "gpt-4-turbo",
+                  "gpt-4-turbo-preview",
+                  "gpt-3.5-turbo",
+                  "gpt-3.5-turbo-0125"
+                ],
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "gpt-4-turbo"
+              },
+              "openai_api_base": {
+                "advanced": true,
+                "display_name": "OpenAI API Base",
+                "dynamic": false,
+                "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1. You can change this to use other APIs like JinaChat, LocalAI and Prem.",
+                "list": false,
+                "load_from_db": false,
+                "name": "openai_api_base",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "openai_api_key": {
+                "advanced": false,
+                "display_name": "OpenAI API Key",
+                "dynamic": false,
+                "info": "The OpenAI API Key to use for the OpenAI model.",
+                "input_types": [],
+                "load_from_db": false,
+                "name": "openai_api_key",
+                "password": true,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "output_schema": {
+                "advanced": true,
+                "display_name": "Schema",
+                "dynamic": false,
+                "info": "The schema for the Output of the model. You must pass the word JSON in the prompt. If left blank, JSON mode will be disabled.",
+                "list": true,
+                "name": "output_schema",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "dict",
+                "value": {}
+              },
+              "seed": {
+                "advanced": true,
+                "display_name": "Seed",
+                "dynamic": false,
+                "info": "The seed controls the reproducibility of the job.",
+                "list": false,
+                "name": "seed",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": 1
+              },
+              "stream": {
+                "advanced": true,
+                "display_name": "Stream",
+                "dynamic": false,
+                "info": "Stream the response from the model. Streaming works only in Chat.",
+                "list": false,
+                "name": "stream",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "bool",
+                "value": false
+              },
+              "system_message": {
+                "advanced": true,
+                "display_name": "System Message",
+                "dynamic": false,
+                "info": "System message to pass to the model.",
+                "list": false,
+                "load_from_db": false,
+                "name": "system_message",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "temperature": {
+                "advanced": false,
+                "display_name": "Temperature",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "temperature",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "float",
+                "value": 0.1
+              }
+            }
+          },
+          "type": "OpenAIModel"
+        },
+        "dragging": false,
+        "height": 622,
+        "id": "OpenAIModel-4ptCk",
+        "position": {
+          "x": 1205.1434354219589,
+          "y": -39.953851445891985
+        },
+        "positionAbsolute": {
+          "x": 1205.1434354219589,
+          "y": -39.953851445891985
+        },
+        "selected": false,
+        "type": "genericNode",
+        "width": 384
+      },
+      {
+        "data": {
+          "description": "Create a prompt template with dynamic variables.",
+          "display_name": "Prompt",
+          "id": "Prompt-L1GxH",
+          "node": {
+            "base_classes": [
+              "Message"
+            ],
+            "beta": false,
+            "conditional_paths": [],
+            "custom_fields": {
+              "template": [
+                "Document",
+                "Question"
+              ]
+            },
+            "description": "Create a prompt template with dynamic variables.",
+            "display_name": "Prompt",
+            "documentation": "",
+            "edited": false,
+            "error": null,
+            "field_order": [
+              "template"
+            ],
+            "frozen": false,
+            "full_path": null,
+            "icon": "prompts",
+            "is_composition": null,
+            "is_input": null,
+            "is_output": null,
+            "name": "",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Prompt Message",
+                "hidden": false,
+                "method": "build_prompt",
+                "name": "prompt",
+                "selected": "Message",
+                "types": [
+                  "Message"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "pinned": false,
+            "template": {
+              "Document": {
+                "advanced": false,
+                "display_name": "Document",
+                "dynamic": false,
+                "field_type": "str",
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "input_types": [
+                  "Message",
+                  "Text"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "Document",
+                "password": false,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "Question": {
+                "advanced": false,
+                "display_name": "Question",
+                "dynamic": false,
+                "field_type": "str",
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "input_types": [
+                  "Message",
+                  "Text"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "Question",
+                "password": false,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "_type": "Component",
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "from langflow.base.prompts.api_utils import process_prompt_template\nfrom langflow.custom import Component\nfrom langflow.io import Output, PromptInput\nfrom langflow.schema.message import Message\nfrom langflow.template.utils import update_template_values\n\n\nclass PromptComponent(Component):\n    display_name: str = \"Prompt\"\n    description: str = \"Create a prompt template with dynamic variables.\"\n    icon = \"prompts\"\n    trace_type = \"prompt\"\n\n    inputs = [\n        PromptInput(name=\"template\", display_name=\"Template\"),\n    ]\n\n    outputs = [\n        Output(display_name=\"Prompt Message\", name=\"prompt\", method=\"build_prompt\"),\n    ]\n\n    async def build_prompt(\n        self,\n    ) -> Message:\n        prompt = await Message.from_template_and_variables(**self._attributes)\n        self.status = prompt.text\n        return prompt\n\n    def post_code_processing(self, new_build_config: dict, current_build_config: dict):\n        \"\"\"\n        This function is called after the code validation is done.\n        \"\"\"\n        frontend_node = super().post_code_processing(new_build_config, current_build_config)\n        template = frontend_node[\"template\"][\"template\"][\"value\"]\n        _ = process_prompt_template(\n            template=template,\n            name=\"template\",\n            custom_fields=frontend_node[\"custom_fields\"],\n            frontend_node_template=frontend_node[\"template\"],\n        )\n        # Now that template is updated, we need to grab any values that were set in the current_build_config\n        # and update the frontend_node with those values\n        update_template_values(frontend_template=frontend_node, raw_template=current_build_config[\"template\"])\n        return frontend_node\n"
+              },
+              "template": {
+                "advanced": false,
+                "display_name": "Template",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "template",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "type": "prompt",
+                "value": "Answer user's questions based on the document below:\n\n---\n\n{Document}\n\n---\n\nQuestion:\n{Question}\n\nAnswer:\n"
+              }
+            }
+          },
+          "type": "Prompt"
+        },
+        "dragging": false,
+        "height": 517,
+        "id": "Prompt-L1GxH",
+        "position": {
+          "x": 641.7559080574213,
+          "y": 96.74239207995313
+        },
+        "positionAbsolute": {
+          "x": 641.7559080574213,
+          "y": 96.74239207995313
+        },
+        "selected": false,
+        "type": "genericNode",
+        "width": 384
+      },
+      {
+        "data": {
+          "id": "ParseData-rLcoq",
+          "node": {
+            "base_classes": [
+              "Message"
+            ],
+            "beta": false,
+            "conditional_paths": [],
+            "custom_fields": {},
+            "description": "Convert Data into plain text following a specified template.",
+            "display_name": "Parse Data",
+            "documentation": "",
+            "edited": false,
+            "field_order": [
+              "data",
+              "template",
+              "sep"
+            ],
+            "frozen": false,
+            "icon": "braces",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Text",
+                "hidden": false,
+                "method": "parse_data",
+                "name": "text",
+                "selected": "Message",
+                "types": [
+                  "Message"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "pinned": false,
+            "template": {
+              "_type": "Component",
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "from langflow.custom import Component\nfrom langflow.helpers.data import data_to_text\nfrom langflow.io import DataInput, MultilineInput, Output, StrInput\nfrom langflow.schema.message import Message\n\n\nclass ParseDataComponent(Component):\n    display_name = \"Parse Data\"\n    description = \"Convert Data into plain text following a specified template.\"\n    icon = \"braces\"\n\n    inputs = [\n        DataInput(name=\"data\", display_name=\"Data\", info=\"The data to convert to text.\"),\n        MultilineInput(\n            name=\"template\",\n            display_name=\"Template\",\n            info=\"The template to use for formatting the data. It can contain the keys {text}, {data} or any other key in the Data.\",\n            value=\"{text}\",\n        ),\n        StrInput(name=\"sep\", display_name=\"Separator\", advanced=True, value=\"\\n\"),\n    ]\n\n    outputs = [\n        Output(display_name=\"Text\", name=\"text\", method=\"parse_data\"),\n    ]\n\n    def parse_data(self) -> Message:\n        data = self.data if isinstance(self.data, list) else [self.data]\n        template = self.template\n\n        result_string = data_to_text(template, data, sep=self.sep)\n        self.status = result_string\n        return Message(text=result_string)\n"
+              },
+              "data": {
+                "advanced": false,
+                "display_name": "Data",
+                "dynamic": false,
+                "info": "The data to convert to text.",
+                "input_types": [
+                  "Data"
+                ],
+                "list": false,
+                "name": "data",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "trace_as_metadata": true,
+                "type": "other",
+                "value": ""
+              },
+              "sep": {
+                "advanced": true,
+                "display_name": "Separator",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "name": "sep",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": "\n"
+              },
+              "template": {
+                "advanced": false,
+                "display_name": "Template",
+                "dynamic": false,
+                "info": "The template to use for formatting the data. It can contain the keys {text}, {data} or any other key in the Data.",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "template",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": "{text}"
+              }
+            }
+          },
+          "type": "ParseData"
+        },
+        "dragging": false,
+        "height": 385,
+        "id": "ParseData-rLcoq",
+        "position": {
+          "x": 122.60847618765547,
+          "y": -109.41723790443038
+        },
+        "positionAbsolute": {
+          "x": 122.60847618765547,
+          "y": -109.41723790443038
+        },
+        "selected": false,
+        "type": "genericNode",
+        "width": 384
+      }
+    ],
+    "viewport": {
+      "x": 269.0008349738299,
+      "y": 216.31613407272368,
+      "zoom": 0.45804409165968474
+    }
+  },
+  "description": "This flow integrates PDF reading with a language model to answer document-specific questions. Ideal for small-scale texts, it facilitates direct queries with immediate insights.",
+  "endpoint_name": null,
+  "id": "ebaa8c25-5d89-4f31-a945-3804be72ac58",
+  "is_component": false,
+  "last_tested_version": "1.0.0rc1",
+  "name": "Document QA"
+}
\ No newline at end of file
diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Memory Chatbot.json b/src/backend/base/langflow/initial_setup/starter_projects/Memory Chatbot.json
new file mode 100644
index 00000000000..0ab839eee62
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/starter_projects/Memory Chatbot.json	
@@ -0,0 +1,1119 @@
+{
+  "data": {
+    "edges": [
+      {
+        "className": "",
+        "data": {
+          "sourceHandle": {
+            "dataType": "Memory",
+            "id": "Memory-A4OPp",
+            "name": "messages_text",
+            "output_types": [
+              "Message"
+            ]
+          },
+          "targetHandle": {
+            "fieldName": "context",
+            "id": "Prompt-xhlQ7",
+            "inputTypes": [
+              "Message",
+              "Text"
+            ],
+            "type": "str"
+          }
+        },
+        "id": "reactflow__edge-Memory-A4OPp{œdataTypeœ:œMemoryœ,œidœ:œMemory-A4OPpœ,œnameœ:œmessages_textœ,œoutput_typesœ:[œMessageœ]}-Prompt-xhlQ7{œfieldNameœ:œcontextœ,œidœ:œPrompt-xhlQ7œ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}",
+        "source": "Memory-A4OPp",
+        "sourceHandle": "{œdataTypeœ: œMemoryœ, œidœ: œMemory-A4OPpœ, œnameœ: œmessages_textœ, œoutput_typesœ: [œMessageœ]}",
+        "target": "Prompt-xhlQ7",
+        "targetHandle": "{œfieldNameœ: œcontextœ, œidœ: œPrompt-xhlQ7œ, œinputTypesœ: [œMessageœ, œTextœ], œtypeœ: œstrœ}"
+      },
+      {
+        "className": "",
+        "data": {
+          "sourceHandle": {
+            "dataType": "ChatInput",
+            "id": "ChatInput-ENTF8",
+            "name": "message",
+            "output_types": [
+              "Message"
+            ]
+          },
+          "targetHandle": {
+            "fieldName": "user_message",
+            "id": "Prompt-xhlQ7",
+            "inputTypes": [
+              "Message",
+              "Text"
+            ],
+            "type": "str"
+          }
+        },
+        "id": "reactflow__edge-ChatInput-ENTF8{œdataTypeœ:œChatInputœ,œidœ:œChatInput-ENTF8œ,œnameœ:œmessageœ,œoutput_typesœ:[œMessageœ]}-Prompt-xhlQ7{œfieldNameœ:œuser_messageœ,œidœ:œPrompt-xhlQ7œ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}",
+        "source": "ChatInput-ENTF8",
+        "sourceHandle": "{œdataTypeœ: œChatInputœ, œidœ: œChatInput-ENTF8œ, œnameœ: œmessageœ, œoutput_typesœ: [œMessageœ]}",
+        "target": "Prompt-xhlQ7",
+        "targetHandle": "{œfieldNameœ: œuser_messageœ, œidœ: œPrompt-xhlQ7œ, œinputTypesœ: [œMessageœ, œTextœ], œtypeœ: œstrœ}"
+      },
+      {
+        "className": "",
+        "data": {
+          "sourceHandle": {
+            "dataType": "Prompt",
+            "id": "Prompt-xhlQ7",
+            "name": "prompt",
+            "output_types": [
+              "Message"
+            ]
+          },
+          "targetHandle": {
+            "fieldName": "input_value",
+            "id": "OpenAIModel-ZBIVC",
+            "inputTypes": [
+              "Message"
+            ],
+            "type": "str"
+          }
+        },
+        "id": "reactflow__edge-Prompt-xhlQ7{œdataTypeœ:œPromptœ,œidœ:œPrompt-xhlQ7œ,œnameœ:œpromptœ,œoutput_typesœ:[œMessageœ]}-OpenAIModel-ZBIVC{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-ZBIVCœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
+        "source": "Prompt-xhlQ7",
+        "sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-xhlQ7œ, œnameœ: œpromptœ, œoutput_typesœ: [œMessageœ]}",
+        "target": "OpenAIModel-ZBIVC",
+        "targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œOpenAIModel-ZBIVCœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
+      },
+      {
+        "className": "",
+        "data": {
+          "sourceHandle": {
+            "dataType": "OpenAIModel",
+            "id": "OpenAIModel-ZBIVC",
+            "name": "text_output",
+            "output_types": [
+              "Message"
+            ]
+          },
+          "targetHandle": {
+            "fieldName": "input_value",
+            "id": "ChatOutput-e8ruq",
+            "inputTypes": [
+              "Message"
+            ],
+            "type": "str"
+          }
+        },
+        "id": "reactflow__edge-OpenAIModel-ZBIVC{œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-ZBIVCœ,œnameœ:œtext_outputœ,œoutput_typesœ:[œMessageœ]}-ChatOutput-e8ruq{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-e8ruqœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
+        "source": "OpenAIModel-ZBIVC",
+        "sourceHandle": "{œdataTypeœ: œOpenAIModelœ, œidœ: œOpenAIModel-ZBIVCœ, œnameœ: œtext_outputœ, œoutput_typesœ: [œMessageœ]}",
+        "target": "ChatOutput-e8ruq",
+        "targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œChatOutput-e8ruqœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
+      }
+    ],
+    "nodes": [
+      {
+        "data": {
+          "description": "Retrieves stored chat messages.",
+          "display_name": "Memory",
+          "edited": false,
+          "id": "Memory-A4OPp",
+          "node": {
+            "base_classes": [
+              "Data",
+              "Message"
+            ],
+            "beta": false,
+            "conditional_paths": [],
+            "custom_fields": {},
+            "description": "Retrieves stored chat messages.",
+            "display_name": "Memory",
+            "documentation": "",
+            "edited": true,
+            "field_order": [
+              "sender",
+              "sender_name",
+              "n_messages",
+              "session_id",
+              "order",
+              "template"
+            ],
+            "frozen": false,
+            "icon": "message-square-more",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Chat History",
+                "method": "retrieve_messages",
+                "name": "messages",
+                "selected": "Data",
+                "types": [
+                  "Data"
+                ],
+                "value": "__UNDEFINED__"
+              },
+              {
+                "cache": true,
+                "display_name": "Messages (Text)",
+                "hidden": false,
+                "method": "retrieve_messages_as_text",
+                "name": "messages_text",
+                "selected": "Message",
+                "types": [
+                  "Message"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "pinned": false,
+            "template": {
+              "_type": "Component",
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "from langflow.custom import Component\nfrom langflow.helpers.data import data_to_text\nfrom langflow.io import DropdownInput, IntInput, MultilineInput, Output, MessageTextInput\nfrom langflow.memory import get_messages\nfrom langflow.schema import Data\nfrom langflow.schema.message import Message\n\n\nclass MemoryComponent(Component):\n    display_name = \"Chat Memory\"\n    description = \"Retrieves stored chat messages.\"\n    icon = \"message-square-more\"\n\n    inputs = [\n        DropdownInput(\n            name=\"sender\",\n            display_name=\"Sender Type\",\n            options=[\"Machine\", \"User\", \"Machine and User\"],\n            value=\"Machine and User\",\n            info=\"Type of sender.\",\n            advanced=True,\n        ),\n        MessageTextInput(\n            name=\"sender_name\",\n            display_name=\"Sender Name\",\n            info=\"Name of the sender.\",\n            advanced=True,\n        ),\n        IntInput(\n            name=\"n_messages\",\n            display_name=\"Number of Messages\",\n            value=100,\n            info=\"Number of messages to retrieve.\",\n            advanced=True,\n        ),\n        MessageTextInput(\n            name=\"session_id\",\n            display_name=\"Session ID\",\n            info=\"Session ID of the chat history.\",\n            advanced=True,\n        ),\n        DropdownInput(\n            name=\"order\",\n            display_name=\"Order\",\n            options=[\"Ascending\", \"Descending\"],\n            value=\"Ascending\",\n            info=\"Order of the messages.\",\n            advanced=True,\n        ),\n        MultilineInput(\n            name=\"template\",\n            display_name=\"Template\",\n            info=\"The template to use for formatting the data. It can contain the keys {text}, {sender} or any other key in the message data.\",\n            value=\"{sender_name}: {text}\",\n            advanced=True,\n        ),\n    ]\n\n    outputs = [\n        Output(display_name=\"Chat History\", name=\"messages\", method=\"retrieve_messages\"),\n        Output(display_name=\"Messages (Text)\", name=\"messages_text\", method=\"retrieve_messages_as_text\"),\n    ]\n\n    def retrieve_messages(self) -> Data:\n        sender = self.sender\n        sender_name = self.sender_name\n        session_id = self.session_id\n        n_messages = self.n_messages\n        order = \"DESC\" if self.order == \"Descending\" else \"ASC\"\n\n        if sender == \"Machine and User\":\n            sender = None\n\n        messages = get_messages(\n            sender=sender,\n            sender_name=sender_name,\n            session_id=session_id,\n            limit=n_messages,\n            order=order,\n        )\n        self.status = messages\n        return messages\n\n    def retrieve_messages_as_text(self) -> Message:\n        messages_text = data_to_text(self.template, self.retrieve_messages())\n        self.status = messages_text\n        return Message(text=messages_text)\n"
+              },
+              "n_messages": {
+                "advanced": true,
+                "display_name": "Number of Messages",
+                "dynamic": false,
+                "info": "Number of messages to retrieve.",
+                "list": false,
+                "name": "n_messages",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": 100
+              },
+              "order": {
+                "advanced": true,
+                "display_name": "Order",
+                "dynamic": false,
+                "info": "Order of the messages.",
+                "name": "order",
+                "options": [
+                  "Ascending",
+                  "Descending"
+                ],
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "Ascending"
+              },
+              "sender": {
+                "advanced": true,
+                "display_name": "Sender Type",
+                "dynamic": false,
+                "info": "Type of sender.",
+                "name": "sender",
+                "options": [
+                  "Machine",
+                  "User",
+                  "Machine and User"
+                ],
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "Machine and User"
+              },
+              "sender_name": {
+                "advanced": true,
+                "display_name": "Sender Name",
+                "dynamic": false,
+                "info": "Name of the sender.",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "sender_name",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "session_id": {
+                "advanced": true,
+                "display_name": "Session ID",
+                "dynamic": false,
+                "info": "Session ID of the chat history.",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "session_id",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "template": {
+                "advanced": true,
+                "display_name": "Template",
+                "dynamic": false,
+                "info": "The template to use for formatting the data. It can contain the keys {text}, {sender} or any other key in the message data.",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "template",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "{sender_name}: {text}"
+              }
+            }
+          },
+          "type": "Memory"
+        },
+        "dragging": false,
+        "height": 267,
+        "id": "Memory-A4OPp",
+        "position": {
+          "x": 1258.8089948698466,
+          "y": 547.1243849102437
+        },
+        "positionAbsolute": {
+          "x": 1258.8089948698466,
+          "y": 547.1243849102437
+        },
+        "selected": false,
+        "type": "genericNode",
+        "width": 384
+      },
+      {
+        "data": {
+          "description": "Get chat inputs from the Playground.",
+          "display_name": "Chat Input",
+          "edited": false,
+          "id": "ChatInput-ENTF8",
+          "node": {
+            "base_classes": [
+              "Message"
+            ],
+            "beta": false,
+            "conditional_paths": [],
+            "custom_fields": {},
+            "description": "Get chat inputs from the Playground.",
+            "display_name": "Chat Input",
+            "documentation": "",
+            "edited": true,
+            "field_order": [
+              "input_value",
+              "sender",
+              "sender_name",
+              "session_id",
+              "files"
+            ],
+            "frozen": false,
+            "icon": "ChatInput",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Message",
+                "hidden": false,
+                "method": "message_response",
+                "name": "message",
+                "selected": "Message",
+                "types": [
+                  "Message"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "pinned": false,
+            "template": {
+              "_type": "Component",
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.io import DropdownInput, FileInput, MessageTextInput, MultilineInput, Output\nfrom langflow.schema.message import Message\n\n\nclass ChatInput(ChatComponent):\n    display_name = \"Chat Input\"\n    description = \"Get chat inputs from the Playground.\"\n    icon = \"ChatInput\"\n\n    inputs = [\n        MultilineInput(\n            name=\"input_value\",\n            display_name=\"Text\",\n            value=\"\",\n            info=\"Message to be passed as input.\",\n        ),\n        DropdownInput(\n            name=\"sender\",\n            display_name=\"Sender Type\",\n            options=[\"Machine\", \"User\"],\n            value=\"User\",\n            info=\"Type of sender.\",\n            advanced=True,\n        ),\n        MessageTextInput(\n            name=\"sender_name\",\n            display_name=\"Sender Name\",\n            info=\"Name of the sender.\",\n            value=\"User\",\n            advanced=True,\n        ),\n        MessageTextInput(\n            name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n        ),\n        FileInput(\n            name=\"files\",\n            display_name=\"Files\",\n            file_types=TEXT_FILE_TYPES + IMG_FILE_TYPES,\n            info=\"Files to be sent with the message.\",\n            advanced=True,\n            is_list=True,\n        ),\n    ]\n    outputs = [\n        Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n    ]\n\n    def message_response(self) -> Message:\n        message = Message(\n            text=self.input_value,\n            sender=self.sender,\n            sender_name=self.sender_name,\n            session_id=self.session_id,\n            files=self.files,\n        )\n        if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n            self.store_message(message)\n            self.message.value = message\n\n        self.status = message\n        return message\n"
+              },
+              "files": {
+                "advanced": true,
+                "display_name": "Files",
+                "dynamic": false,
+                "fileTypes": [
+                  "txt",
+                  "md",
+                  "mdx",
+                  "csv",
+                  "json",
+                  "yaml",
+                  "yml",
+                  "xml",
+                  "html",
+                  "htm",
+                  "pdf",
+                  "docx",
+                  "py",
+                  "sh",
+                  "sql",
+                  "js",
+                  "ts",
+                  "tsx",
+                  "jpg",
+                  "jpeg",
+                  "png",
+                  "bmp",
+                  "image"
+                ],
+                "file_path": "",
+                "info": "Files to be sent with the message.",
+                "list": true,
+                "name": "files",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_metadata": true,
+                "type": "file",
+                "value": ""
+              },
+              "input_value": {
+                "advanced": false,
+                "display_name": "Text",
+                "dynamic": false,
+                "info": "Message to be passed as input.",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "input_value",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": ""
+              },
+              "sender": {
+                "advanced": true,
+                "display_name": "Sender Type",
+                "dynamic": false,
+                "info": "Type of sender.",
+                "name": "sender",
+                "options": [
+                  "Machine",
+                  "User"
+                ],
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": "User"
+              },
+              "sender_name": {
+                "advanced": true,
+                "display_name": "Sender Name",
+                "dynamic": false,
+                "info": "Name of the sender.",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "sender_name",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": "User"
+              },
+              "session_id": {
+                "advanced": true,
+                "display_name": "Session ID",
+                "dynamic": false,
+                "info": "Session ID for the message.",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "session_id",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": ""
+              }
+            }
+          },
+          "type": "ChatInput"
+        },
+        "dragging": true,
+        "height": 309,
+        "id": "ChatInput-ENTF8",
+        "position": {
+          "x": 1261.3748612945249,
+          "y": 912.733279525042
+        },
+        "positionAbsolute": {
+          "x": 1261.3748612945249,
+          "y": 912.733279525042
+        },
+        "selected": false,
+        "type": "genericNode",
+        "width": 384
+      },
+      {
+        "data": {
+          "description": "Generates text using OpenAI LLMs.",
+          "display_name": "OpenAI",
+          "edited": false,
+          "id": "OpenAIModel-ZBIVC",
+          "node": {
+            "base_classes": [
+              "LanguageModel",
+              "Message"
+            ],
+            "beta": false,
+            "conditional_paths": [],
+            "custom_fields": {},
+            "description": "Generates text using OpenAI LLMs.",
+            "display_name": "OpenAI",
+            "documentation": "",
+            "edited": true,
+            "field_order": [
+              "input_value",
+              "max_tokens",
+              "model_kwargs",
+              "output_schema",
+              "model_name",
+              "openai_api_base",
+              "openai_api_key",
+              "temperature",
+              "stream",
+              "system_message",
+              "seed"
+            ],
+            "frozen": false,
+            "icon": "OpenAI",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Text",
+                "hidden": false,
+                "method": "text_response",
+                "name": "text_output",
+                "selected": "Message",
+                "types": [
+                  "Message"
+                ],
+                "value": "__UNDEFINED__"
+              },
+              {
+                "cache": true,
+                "display_name": "Language Model",
+                "method": "build_model",
+                "name": "model_output",
+                "selected": "LanguageModel",
+                "types": [
+                  "LanguageModel"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "pinned": false,
+            "template": {
+              "_type": "Component",
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "import operator\nfrom functools import reduce\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import LanguageModel\nfrom langflow.inputs import (\n    BoolInput,\n    DictInput,\n    DropdownInput,\n    FloatInput,\n    IntInput,\n    MessageInput,\n    SecretStrInput,\n    StrInput,\n)\n\n\nclass OpenAIModelComponent(LCModelComponent):\n    display_name = \"OpenAI\"\n    description = \"Generates text using OpenAI LLMs.\"\n    icon = \"OpenAI\"\n\n    inputs = [\n        MessageInput(name=\"input_value\", display_name=\"Input\"),\n        IntInput(\n            name=\"max_tokens\",\n            display_name=\"Max Tokens\",\n            advanced=True,\n            info=\"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n        ),\n        DictInput(name=\"model_kwargs\", display_name=\"Model Kwargs\", advanced=True),\n        DictInput(\n            name=\"output_schema\",\n            is_list=True,\n            display_name=\"Schema\",\n            advanced=True,\n            info=\"The schema for the Output of the model. You must pass the word JSON in the prompt. If left blank, JSON mode will be disabled.\",\n        ),\n        DropdownInput(\n            name=\"model_name\", display_name=\"Model Name\", advanced=False, options=MODEL_NAMES, value=MODEL_NAMES[0]\n        ),\n        StrInput(\n            name=\"openai_api_base\",\n            display_name=\"OpenAI API Base\",\n            advanced=True,\n            info=\"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1. You can change this to use other APIs like JinaChat, LocalAI and Prem.\",\n        ),\n        SecretStrInput(\n            name=\"openai_api_key\",\n            display_name=\"OpenAI API Key\",\n            info=\"The OpenAI API Key to use for the OpenAI model.\",\n            advanced=False,\n            value=\"OPENAI_API_KEY\",\n        ),\n        FloatInput(name=\"temperature\", display_name=\"Temperature\", value=0.1),\n        BoolInput(name=\"stream\", display_name=\"Stream\", info=STREAM_INFO_TEXT, advanced=True),\n        StrInput(\n            name=\"system_message\",\n            display_name=\"System Message\",\n            info=\"System message to pass to the model.\",\n            advanced=True,\n        ),\n        IntInput(\n            name=\"seed\",\n            display_name=\"Seed\",\n            info=\"The seed controls the reproducibility of the job.\",\n            advanced=True,\n            value=1,\n        ),\n    ]\n\n    def build_model(self) -> LanguageModel:\n        # self.output_schea is a list of dictionaries\n        # let's convert it to a dictionary\n        output_schema_dict: dict[str, str] = reduce(operator.ior, self.output_schema or {}, {})\n        openai_api_key = self.openai_api_key\n        temperature = self.temperature\n        model_name: str = self.model_name\n        max_tokens = self.max_tokens\n        model_kwargs = self.model_kwargs or {}\n        openai_api_base = self.openai_api_base or \"https://api.openai.com/v1\"\n        json_mode = bool(output_schema_dict)\n        seed = self.seed\n        model_kwargs[\"seed\"] = seed\n\n        if openai_api_key:\n            api_key = SecretStr(openai_api_key)\n        else:\n            api_key = None\n        output = ChatOpenAI(\n            max_tokens=max_tokens or None,\n            model_kwargs=model_kwargs,\n            model=model_name,\n            base_url=openai_api_base,\n            api_key=api_key,\n            temperature=temperature or 0.1,\n        )\n        if json_mode:\n            output = output.with_structured_output(schema=output_schema_dict, method=\"json_mode\")  # type: ignore\n\n        return output\n\n    def _get_exception_message(self, e: Exception):\n        \"\"\"\n        Get a message from an OpenAI exception.\n\n        Args:\n            exception (Exception): The exception to get the message from.\n\n        Returns:\n            str: The message from the exception.\n        \"\"\"\n\n        try:\n            from openai import BadRequestError\n        except ImportError:\n            return\n        if isinstance(e, BadRequestError):\n            message = e.body.get(\"message\")  # type: ignore\n            if message:\n                return message\n        return\n"
+              },
+              "input_value": {
+                "advanced": false,
+                "display_name": "Input",
+                "dynamic": false,
+                "info": "",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "input_value",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "max_tokens": {
+                "advanced": true,
+                "display_name": "Max Tokens",
+                "dynamic": false,
+                "info": "The maximum number of tokens to generate. Set to 0 for unlimited tokens.",
+                "list": false,
+                "name": "max_tokens",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": ""
+              },
+              "model_kwargs": {
+                "advanced": true,
+                "display_name": "Model Kwargs",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "model_kwargs",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "dict",
+                "value": {}
+              },
+              "model_name": {
+                "advanced": false,
+                "display_name": "Model Name",
+                "dynamic": false,
+                "info": "",
+                "name": "model_name",
+                "options": [
+                  "gpt-4o",
+                  "gpt-4-turbo",
+                  "gpt-4-turbo-preview",
+                  "gpt-3.5-turbo",
+                  "gpt-3.5-turbo-0125"
+                ],
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "gpt-4-turbo"
+              },
+              "openai_api_base": {
+                "advanced": true,
+                "display_name": "OpenAI API Base",
+                "dynamic": false,
+                "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1. You can change this to use other APIs like JinaChat, LocalAI and Prem.",
+                "list": false,
+                "load_from_db": false,
+                "name": "openai_api_base",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "openai_api_key": {
+                "advanced": false,
+                "display_name": "OpenAI API Key",
+                "dynamic": false,
+                "info": "The OpenAI API Key to use for the OpenAI model.",
+                "input_types": [],
+                "load_from_db": false,
+                "name": "openai_api_key",
+                "password": true,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "output_schema": {
+                "advanced": true,
+                "display_name": "Schema",
+                "dynamic": false,
+                "info": "The schema for the Output of the model. You must pass the word JSON in the prompt. If left blank, JSON mode will be disabled.",
+                "list": true,
+                "name": "output_schema",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "dict",
+                "value": {}
+              },
+              "seed": {
+                "advanced": true,
+                "display_name": "Seed",
+                "dynamic": false,
+                "info": "The seed controls the reproducibility of the job.",
+                "list": false,
+                "name": "seed",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": 1
+              },
+              "stream": {
+                "advanced": true,
+                "display_name": "Stream",
+                "dynamic": false,
+                "info": "Stream the response from the model. Streaming works only in Chat.",
+                "list": false,
+                "name": "stream",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "bool",
+                "value": false
+              },
+              "system_message": {
+                "advanced": true,
+                "display_name": "System Message",
+                "dynamic": false,
+                "info": "System message to pass to the model.",
+                "list": false,
+                "load_from_db": false,
+                "name": "system_message",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "temperature": {
+                "advanced": false,
+                "display_name": "Temperature",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "temperature",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "float",
+                "value": 0.1
+              }
+            }
+          },
+          "type": "OpenAIModel"
+        },
+        "dragging": false,
+        "height": 622,
+        "id": "OpenAIModel-ZBIVC",
+        "position": {
+          "x": 2495.6628431453228,
+          "y": 669.9567653609598
+        },
+        "positionAbsolute": {
+          "x": 2495.6628431453228,
+          "y": 669.9567653609598
+        },
+        "selected": false,
+        "type": "genericNode",
+        "width": 384
+      },
+      {
+        "data": {
+          "description": "Display a chat message in the Playground.",
+          "display_name": "Chat Output",
+          "edited": false,
+          "id": "ChatOutput-e8ruq",
+          "node": {
+            "base_classes": [
+              "Message"
+            ],
+            "beta": false,
+            "conditional_paths": [],
+            "custom_fields": {},
+            "description": "Display a chat message in the Playground.",
+            "display_name": "Chat Output",
+            "documentation": "",
+            "edited": true,
+            "field_order": [
+              "input_value",
+              "sender",
+              "sender_name",
+              "session_id",
+              "data_template"
+            ],
+            "frozen": false,
+            "icon": "ChatOutput",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Message",
+                "method": "message_response",
+                "name": "message",
+                "selected": "Message",
+                "types": [
+                  "Message"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "pinned": false,
+            "template": {
+              "_type": "Component",
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.schema.message import Message\n\n\nclass ChatOutput(ChatComponent):\n    display_name = \"Chat Output\"\n    description = \"Display a chat message in the Playground.\"\n    icon = \"ChatOutput\"\n\n    inputs = [\n        MessageTextInput(\n            name=\"input_value\",\n            display_name=\"Text\",\n            info=\"Message to be passed as output.\",\n        ),\n        DropdownInput(\n            name=\"sender\",\n            display_name=\"Sender Type\",\n            options=[\"Machine\", \"User\"],\n            value=\"Machine\",\n            advanced=True,\n            info=\"Type of sender.\",\n        ),\n        MessageTextInput(\n            name=\"sender_name\", display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\", advanced=True\n        ),\n        MessageTextInput(\n            name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n        ),\n        MessageTextInput(\n            name=\"data_template\",\n            display_name=\"Data Template\",\n            value=\"{text}\",\n            advanced=True,\n            info=\"Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.\",\n        ),\n    ]\n    outputs = [\n        Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n    ]\n\n    def message_response(self) -> Message:\n        message = Message(\n            text=self.input_value,\n            sender=self.sender,\n            sender_name=self.sender_name,\n            session_id=self.session_id,\n        )\n        if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n            self.store_message(message)\n            self.message.value = message\n\n        self.status = message\n        return message\n"
+              },
+              "data_template": {
+                "advanced": true,
+                "display_name": "Data Template",
+                "dynamic": false,
+                "info": "Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "data_template",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": "{text}"
+              },
+              "input_value": {
+                "advanced": false,
+                "display_name": "Text",
+                "dynamic": false,
+                "info": "Message to be passed as output.",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "input_value",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": ""
+              },
+              "sender": {
+                "advanced": true,
+                "display_name": "Sender Type",
+                "dynamic": false,
+                "info": "Type of sender.",
+                "name": "sender",
+                "options": [
+                  "Machine",
+                  "User"
+                ],
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": "Machine"
+              },
+              "sender_name": {
+                "advanced": true,
+                "display_name": "Sender Name",
+                "dynamic": false,
+                "info": "Name of the sender.",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "sender_name",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": "AI"
+              },
+              "session_id": {
+                "advanced": true,
+                "display_name": "Session ID",
+                "dynamic": false,
+                "info": "Session ID for the message.",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "session_id",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "trace_as_metadata": true,
+                "type": "str",
+                "value": ""
+              }
+            }
+          },
+          "type": "ChatOutput"
+        },
+        "dragging": false,
+        "height": 308,
+        "id": "ChatOutput-e8ruq",
+        "position": {
+          "x": 3028.2686266398873,
+          "y": 888.0854888768531
+        },
+        "positionAbsolute": {
+          "x": 3028.2686266398873,
+          "y": 888.0854888768531
+        },
+        "selected": false,
+        "type": "genericNode",
+        "width": 384
+      },
+      {
+        "data": {
+          "description": "Create a prompt template with dynamic variables.",
+          "display_name": "Prompt",
+          "id": "Prompt-xhlQ7",
+          "node": {
+            "base_classes": [
+              "Message"
+            ],
+            "beta": false,
+            "conditional_paths": [],
+            "custom_fields": {
+              "template": [
+                "context",
+                "user_message"
+              ]
+            },
+            "description": "Create a prompt template with dynamic variables.",
+            "display_name": "Prompt",
+            "documentation": "",
+            "edited": false,
+            "error": null,
+            "field_order": [
+              "template"
+            ],
+            "frozen": false,
+            "full_path": null,
+            "icon": "prompts",
+            "is_composition": null,
+            "is_input": null,
+            "is_output": null,
+            "name": "",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Prompt Message",
+                "hidden": false,
+                "method": "build_prompt",
+                "name": "prompt",
+                "selected": "Message",
+                "types": [
+                  "Message"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "pinned": false,
+            "template": {
+              "_type": "Component",
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "from langflow.base.prompts.api_utils import process_prompt_template\nfrom langflow.custom import Component\nfrom langflow.io import Output, PromptInput\nfrom langflow.schema.message import Message\nfrom langflow.template.utils import update_template_values\n\n\nclass PromptComponent(Component):\n    display_name: str = \"Prompt\"\n    description: str = \"Create a prompt template with dynamic variables.\"\n    icon = \"prompts\"\n    trace_type = \"prompt\"\n\n    inputs = [\n        PromptInput(name=\"template\", display_name=\"Template\"),\n    ]\n\n    outputs = [\n        Output(display_name=\"Prompt Message\", name=\"prompt\", method=\"build_prompt\"),\n    ]\n\n    async def build_prompt(\n        self,\n    ) -> Message:\n        prompt = await Message.from_template_and_variables(**self._attributes)\n        self.status = prompt.text\n        return prompt\n\n    def post_code_processing(self, new_build_config: dict, current_build_config: dict):\n        \"\"\"\n        This function is called after the code validation is done.\n        \"\"\"\n        frontend_node = super().post_code_processing(new_build_config, current_build_config)\n        template = frontend_node[\"template\"][\"template\"][\"value\"]\n        _ = process_prompt_template(\n            template=template,\n            name=\"template\",\n            custom_fields=frontend_node[\"custom_fields\"],\n            frontend_node_template=frontend_node[\"template\"],\n        )\n        # Now that template is updated, we need to grab any values that were set in the current_build_config\n        # and update the frontend_node with those values\n        update_template_values(frontend_template=frontend_node, raw_template=current_build_config[\"template\"])\n        return frontend_node\n"
+              },
+              "context": {
+                "advanced": false,
+                "display_name": "context",
+                "dynamic": false,
+                "field_type": "str",
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "input_types": [
+                  "Message",
+                  "Text"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "context",
+                "password": false,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "template": {
+                "advanced": false,
+                "display_name": "Template",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "template",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "trace_as_input": true,
+                "type": "prompt",
+                "value": "{context}\n\nUser: {user_message}\nAI: "
+              },
+              "user_message": {
+                "advanced": false,
+                "display_name": "user_message",
+                "dynamic": false,
+                "field_type": "str",
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "input_types": [
+                  "Message",
+                  "Text"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "user_message",
+                "password": false,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              }
+            }
+          },
+          "type": "Prompt"
+        },
+        "dragging": false,
+        "height": 517,
+        "id": "Prompt-xhlQ7",
+        "position": {
+          "x": 1879.4280156201567,
+          "y": 674.3958274263156
+        },
+        "positionAbsolute": {
+          "x": 1879.4280156201567,
+          "y": 674.3958274263156
+        },
+        "selected": false,
+        "type": "genericNode",
+        "width": 384
+      }
+    ],
+    "viewport": {
+      "x": -592.532107710133,
+      "y": -149.32118023592653,
+      "zoom": 0.5372819347267049
+    }
+  },
+  "description": "This project can be used as a starting point for building a Chat experience with user specific memory. You can set a different Session ID to start a new message history.",
+  "endpoint_name": null,
+  "id": "909c382d-d215-4d50-91b3-dcb6f3ffd93c",
+  "is_component": false,
+  "last_tested_version": "1.0.0rc1",
+  "name": "Memory Chatbot"
+}
\ No newline at end of file
diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Vector Store RAG.json b/src/backend/base/langflow/initial_setup/starter_projects/Vector Store RAG.json
new file mode 100644
index 00000000000..5f974dc1a9d
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/starter_projects/Vector Store RAG.json	
@@ -0,0 +1,3142 @@
+{
+    "id": "152a031a-a41a-4df1-a161-19800f686776",
+    "data": {
+        "nodes": [
+            {
+                "data": {
+                    "description": "Get chat inputs from the Playground.",
+                    "display_name": "Chat Input",
+                    "edited": false,
+                    "id": "ChatInput-8ZRjI",
+                    "node": {
+                        "base_classes": [
+                            "Message"
+                        ],
+                        "beta": false,
+                        "conditional_paths": [],
+                        "custom_fields": {},
+                        "description": "Get chat inputs from the Playground.",
+                        "display_name": "Chat Input",
+                        "documentation": "",
+                        "edited": true,
+                        "field_order": [
+                            "input_value",
+                            "sender",
+                            "sender_name",
+                            "session_id",
+                            "files"
+                        ],
+                        "frozen": false,
+                        "icon": "ChatInput",
+                        "output_types": [],
+                        "outputs": [
+                            {
+                                "cache": true,
+                                "display_name": "Message",
+                                "hidden": false,
+                                "method": "message_response",
+                                "name": "message",
+                                "selected": "Message",
+                                "types": [
+                                    "Message"
+                                ],
+                                "value": "__UNDEFINED__"
+                            }
+                        ],
+                        "pinned": false,
+                        "template": {
+                            "_type": "Component",
+                            "code": {
+                                "advanced": true,
+                                "dynamic": true,
+                                "fileTypes": [],
+                                "file_path": "",
+                                "info": "",
+                                "list": false,
+                                "load_from_db": false,
+                                "multiline": true,
+                                "name": "code",
+                                "password": false,
+                                "placeholder": "",
+                                "required": true,
+                                "show": true,
+                                "title_case": false,
+                                "type": "code",
+                                "value": "from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.io import DropdownInput, FileInput, MessageTextInput, MultilineInput, Output\nfrom langflow.schema.message import Message\n\n\nclass ChatInput(ChatComponent):\n    display_name = \"Chat Input\"\n    description = \"Get chat inputs from the Playground.\"\n    icon = \"ChatInput\"\n\n    inputs = [\n        MultilineInput(\n            name=\"input_value\",\n            display_name=\"Text\",\n            value=\"\",\n            info=\"Message to be passed as input.\",\n        ),\n        DropdownInput(\n            name=\"sender\",\n            display_name=\"Sender Type\",\n            options=[\"Machine\", \"User\"],\n            value=\"User\",\n            info=\"Type of sender.\",\n            advanced=True,\n        ),\n        MessageTextInput(\n            name=\"sender_name\",\n            display_name=\"Sender Name\",\n            info=\"Name of the sender.\",\n            value=\"User\",\n            advanced=True,\n        ),\n        MessageTextInput(\n            name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n        ),\n        FileInput(\n            name=\"files\",\n            display_name=\"Files\",\n            file_types=TEXT_FILE_TYPES + IMG_FILE_TYPES,\n            info=\"Files to be sent with the message.\",\n            advanced=True,\n            is_list=True,\n        ),\n    ]\n    outputs = [\n        Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n    ]\n\n    def message_response(self) -> Message:\n        message = Message(\n            text=self.input_value,\n            sender=self.sender,\n            sender_name=self.sender_name,\n            session_id=self.session_id,\n            files=self.files,\n        )\n        if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n            self.store_message(message)\n            self.message.value = message\n\n        self.status = message\n        return message\n"
+                            },
+                            "files": {
+                                "advanced": true,
+                                "display_name": "Files",
+                                "dynamic": false,
+                                "fileTypes": [
+                                    "txt",
+                                    "md",
+                                    "mdx",
+                                    "csv",
+                                    "json",
+                                    "yaml",
+                                    "yml",
+                                    "xml",
+                                    "html",
+                                    "htm",
+                                    "pdf",
+                                    "docx",
+                                    "py",
+                                    "sh",
+                                    "sql",
+                                    "js",
+                                    "ts",
+                                    "tsx",
+                                    "jpg",
+                                    "jpeg",
+                                    "png",
+                                    "bmp",
+                                    "image"
+                                ],
+                                "file_path": "",
+                                "info": "Files to be sent with the message.",
+                                "list": true,
+                                "name": "files",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "trace_as_metadata": true,
+                                "type": "file",
+                                "value": ""
+                            },
+                            "input_value": {
+                                "advanced": false,
+                                "display_name": "Text",
+                                "dynamic": false,
+                                "info": "Message to be passed as input.",
+                                "input_types": [
+                                    "Message"
+                                ],
+                                "list": false,
+                                "load_from_db": false,
+                                "multiline": true,
+                                "name": "input_value",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "trace_as_input": true,
+                                "trace_as_metadata": true,
+                                "type": "str",
+                                "value": ""
+                            },
+                            "sender": {
+                                "advanced": true,
+                                "display_name": "Sender Type",
+                                "dynamic": false,
+                                "info": "Type of sender.",
+                                "name": "sender",
+                                "options": [
+                                    "Machine",
+                                    "User"
+                                ],
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "trace_as_metadata": true,
+                                "type": "str",
+                                "value": "User"
+                            },
+                            "sender_name": {
+                                "advanced": true,
+                                "display_name": "Sender Name",
+                                "dynamic": false,
+                                "info": "Name of the sender.",
+                                "input_types": [
+                                    "Message"
+                                ],
+                                "list": false,
+                                "load_from_db": false,
+                                "name": "sender_name",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "trace_as_input": true,
+                                "trace_as_metadata": true,
+                                "type": "str",
+                                "value": "User"
+                            },
+                            "session_id": {
+                                "advanced": true,
+                                "display_name": "Session ID",
+                                "dynamic": false,
+                                "info": "Session ID for the message.",
+                                "input_types": [
+                                    "Message"
+                                ],
+                                "list": false,
+                                "load_from_db": false,
+                                "name": "session_id",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "trace_as_input": true,
+                                "trace_as_metadata": true,
+                                "type": "str",
+                                "value": ""
+                            }
+                        }
+                    },
+                    "type": "ChatInput"
+                },
+                "dragging": false,
+                "height": 309,
+                "id": "ChatInput-8ZRjI",
+                "position": {
+                    "x": 682.002772470747,
+                    "y": 253.67030039648512
+                },
+                "positionAbsolute": {
+                    "x": 682.002772470747,
+                    "y": 253.67030039648512
+                },
+                "selected": false,
+                "type": "genericNode",
+                "width": 384
+            },
+            {
+                "data": {
+                    "id": "OpenAIEmbeddings-hNOwh",
+                    "node": {
+                        "base_classes": [
+                            "Embeddings"
+                        ],
+                        "beta": false,
+                        "custom_fields": {
+                            "allowed_special": null,
+                            "chunk_size": null,
+                            "client": null,
+                            "default_headers": null,
+                            "default_query": null,
+                            "deployment": null,
+                            "disallowed_special": null,
+                            "embedding_ctx_length": null,
+                            "max_retries": null,
+                            "model": null,
+                            "model_kwargs": null,
+                            "openai_api_base": null,
+                            "openai_api_key": null,
+                            "openai_api_type": null,
+                            "openai_api_version": null,
+                            "openai_organization": null,
+                            "openai_proxy": null,
+                            "request_timeout": null,
+                            "show_progress_bar": null,
+                            "skip_empty": null,
+                            "tiktoken_enable": null,
+                            "tiktoken_model_name": null
+                        },
+                        "description": "Generate embeddings using OpenAI models.",
+                        "display_name": "OpenAI Embeddings",
+                        "documentation": "",
+                        "field_formatters": {},
+                        "field_order": [],
+                        "frozen": false,
+                        "icon": "OpenAI",
+                        "output_types": [],
+                        "outputs": [
+                            {
+                                "cache": true,
+                                "display_name": "Embeddings",
+                                "hidden": false,
+                                "method": "build_embeddings",
+                                "name": "embeddings",
+                                "selected": "Embeddings",
+                                "types": [
+                                    "Embeddings"
+                                ],
+                                "value": "__UNDEFINED__"
+                            }
+                        ],
+                        "template": {
+                            "_type": "Component",
+                            "chunk_size": {
+                                "advanced": true,
+                                "display_name": "Chunk Size",
+                                "dynamic": false,
+                                "info": "",
+                                "list": false,
+                                "name": "chunk_size",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "int",
+                                "value": 1000
+                            },
+                            "client": {
+                                "advanced": true,
+                                "display_name": "Client",
+                                "dynamic": false,
+                                "info": "",
+                                "input_types": [
+                                    "Message",
+                                    "str"
+                                ],
+                                "list": false,
+                                "load_from_db": false,
+                                "name": "client",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": ""
+                            },
+                            "code": {
+                                "advanced": true,
+                                "dynamic": true,
+                                "fileTypes": [],
+                                "file_path": "",
+                                "info": "",
+                                "list": false,
+                                "load_from_db": false,
+                                "multiline": true,
+                                "name": "code",
+                                "password": false,
+                                "placeholder": "",
+                                "required": true,
+                                "show": true,
+                                "title_case": false,
+                                "type": "code",
+                                "value": "from langchain_openai.embeddings.base import OpenAIEmbeddings\n\nfrom langflow.base.embeddings.model import LCEmbeddingsModel\nfrom langflow.field_typing import Embeddings\nfrom langflow.io import BoolInput, DictInput, DropdownInput, FloatInput, IntInput, SecretStrInput, MessageTextInput\n\n\nclass OpenAIEmbeddingsComponent(LCEmbeddingsModel):\n    display_name = \"OpenAI Embeddings\"\n    description = \"Generate embeddings using OpenAI models.\"\n    icon = \"OpenAI\"\n    inputs = [\n        DictInput(\n            name=\"default_headers\",\n            display_name=\"Default Headers\",\n            advanced=True,\n            info=\"Default headers to use for the API request.\",\n        ),\n        DictInput(\n            name=\"default_query\",\n            display_name=\"Default Query\",\n            advanced=True,\n            info=\"Default query parameters to use for the API request.\",\n        ),\n        IntInput(name=\"chunk_size\", display_name=\"Chunk Size\", advanced=True, value=1000),\n        MessageTextInput(name=\"client\", display_name=\"Client\", advanced=True),\n        MessageTextInput(name=\"deployment\", display_name=\"Deployment\", advanced=True),\n        IntInput(name=\"embedding_ctx_length\", display_name=\"Embedding Context Length\", advanced=True, value=1536),\n        IntInput(name=\"max_retries\", display_name=\"Max Retries\", value=3, advanced=True),\n        DropdownInput(\n            name=\"model\",\n            display_name=\"Model\",\n            advanced=False,\n            options=[\n                \"text-embedding-3-small\",\n                \"text-embedding-3-large\",\n                \"text-embedding-ada-002\",\n            ],\n            value=\"text-embedding-3-small\",\n        ),\n        DictInput(name=\"model_kwargs\", display_name=\"Model Kwargs\", advanced=True),\n        SecretStrInput(name=\"openai_api_base\", display_name=\"OpenAI API Base\", advanced=True),\n        SecretStrInput(name=\"openai_api_key\", display_name=\"OpenAI API Key\"),\n        SecretStrInput(name=\"openai_api_type\", display_name=\"OpenAI API Type\", advanced=True),\n        MessageTextInput(name=\"openai_api_version\", display_name=\"OpenAI API Version\", advanced=True),\n        MessageTextInput(\n            name=\"openai_organization\",\n            display_name=\"OpenAI Organization\",\n            advanced=True,\n        ),\n        MessageTextInput(name=\"openai_proxy\", display_name=\"OpenAI Proxy\", advanced=True),\n        FloatInput(name=\"request_timeout\", display_name=\"Request Timeout\", advanced=True),\n        BoolInput(name=\"show_progress_bar\", display_name=\"Show Progress Bar\", advanced=True),\n        BoolInput(name=\"skip_empty\", display_name=\"Skip Empty\", advanced=True),\n        MessageTextInput(\n            name=\"tiktoken_model_name\",\n            display_name=\"TikToken Model Name\",\n            advanced=True,\n        ),\n        BoolInput(\n            name=\"tiktoken_enable\",\n            display_name=\"TikToken Enable\",\n            advanced=True,\n            value=True,\n            info=\"If False, you must have transformers installed.\",\n        ),\n    ]\n\n    def build_embeddings(self) -> Embeddings:\n        return OpenAIEmbeddings(\n            tiktoken_enabled=self.tiktoken_enable,\n            default_headers=self.default_headers,\n            default_query=self.default_query,\n            allowed_special=\"all\",\n            disallowed_special=\"all\",\n            chunk_size=self.chunk_size,\n            deployment=self.deployment,\n            embedding_ctx_length=self.embedding_ctx_length,\n            max_retries=self.max_retries,\n            model=self.model,\n            model_kwargs=self.model_kwargs,\n            base_url=self.openai_api_base,\n            api_key=self.openai_api_key,\n            openai_api_type=self.openai_api_type,\n            api_version=self.openai_api_version,\n            organization=self.openai_organization,\n            openai_proxy=self.openai_proxy,\n            timeout=self.request_timeout or None,\n            show_progress_bar=self.show_progress_bar,\n            skip_empty=self.skip_empty,\n            tiktoken_model_name=self.tiktoken_model_name,\n        )\n"
+                            },
+                            "default_headers": {
+                                "advanced": true,
+                                "display_name": "Default Headers",
+                                "dynamic": false,
+                                "info": "Default headers to use for the API request.",
+                                "list": false,
+                                "name": "default_headers",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "dict",
+                                "value": {}
+                            },
+                            "default_query": {
+                                "advanced": true,
+                                "display_name": "Default Query",
+                                "dynamic": false,
+                                "info": "Default query parameters to use for the API request.",
+                                "list": false,
+                                "name": "default_query",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "dict",
+                                "value": {}
+                            },
+                            "deployment": {
+                                "advanced": true,
+                                "display_name": "Deployment",
+                                "dynamic": false,
+                                "info": "",
+                                "input_types": [
+                                    "Message",
+                                    "str"
+                                ],
+                                "list": false,
+                                "load_from_db": false,
+                                "name": "deployment",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": ""
+                            },
+                            "embedding_ctx_length": {
+                                "advanced": true,
+                                "display_name": "Embedding Context Length",
+                                "dynamic": false,
+                                "info": "",
+                                "list": false,
+                                "name": "embedding_ctx_length",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "int",
+                                "value": 1536
+                            },
+                            "max_retries": {
+                                "advanced": true,
+                                "display_name": "Max Retries",
+                                "dynamic": false,
+                                "info": "",
+                                "list": false,
+                                "name": "max_retries",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "int",
+                                "value": 3
+                            },
+                            "model": {
+                                "advanced": false,
+                                "display_name": "Model",
+                                "dynamic": false,
+                                "info": "",
+                                "name": "model",
+                                "options": [
+                                    "text-embedding-3-small",
+                                    "text-embedding-3-large",
+                                    "text-embedding-ada-002"
+                                ],
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": "text-embedding-3-small"
+                            },
+                            "model_kwargs": {
+                                "advanced": true,
+                                "display_name": "Model Kwargs",
+                                "dynamic": false,
+                                "info": "",
+                                "list": false,
+                                "name": "model_kwargs",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "dict",
+                                "value": {}
+                            },
+                            "openai_api_base": {
+                                "advanced": true,
+                                "display_name": "OpenAI API Base",
+                                "dynamic": false,
+                                "info": "",
+                                "input_types": [],
+                                "load_from_db": true,
+                                "name": "openai_api_base",
+                                "password": true,
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": ""
+                            },
+                            "openai_api_key": {
+                                "advanced": false,
+                                "display_name": "OpenAI API Key",
+                                "dynamic": false,
+                                "info": "",
+                                "input_types": [],
+                                "load_from_db": false,
+                                "name": "openai_api_key",
+                                "password": true,
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": ""
+                            },
+                            "openai_api_type": {
+                                "advanced": true,
+                                "display_name": "OpenAI API Type",
+                                "dynamic": false,
+                                "info": "",
+                                "input_types": [],
+                                "load_from_db": true,
+                                "name": "openai_api_type",
+                                "password": true,
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": ""
+                            },
+                            "openai_api_version": {
+                                "advanced": true,
+                                "display_name": "OpenAI API Version",
+                                "dynamic": false,
+                                "info": "",
+                                "input_types": [
+                                    "Message",
+                                    "str"
+                                ],
+                                "list": false,
+                                "load_from_db": false,
+                                "name": "openai_api_version",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": ""
+                            },
+                            "openai_organization": {
+                                "advanced": true,
+                                "display_name": "OpenAI Organization",
+                                "dynamic": false,
+                                "info": "",
+                                "input_types": [
+                                    "Message",
+                                    "str"
+                                ],
+                                "list": false,
+                                "load_from_db": false,
+                                "name": "openai_organization",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": ""
+                            },
+                            "openai_proxy": {
+                                "advanced": true,
+                                "display_name": "OpenAI Proxy",
+                                "dynamic": false,
+                                "info": "",
+                                "input_types": [
+                                    "Message",
+                                    "str"
+                                ],
+                                "list": false,
+                                "load_from_db": false,
+                                "name": "openai_proxy",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": ""
+                            },
+                            "request_timeout": {
+                                "advanced": true,
+                                "display_name": "Request Timeout",
+                                "dynamic": false,
+                                "info": "",
+                                "list": false,
+                                "name": "request_timeout",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "float",
+                                "value": ""
+                            },
+                            "show_progress_bar": {
+                                "advanced": true,
+                                "display_name": "Show Progress Bar",
+                                "dynamic": false,
+                                "info": "",
+                                "list": false,
+                                "name": "show_progress_bar",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "bool",
+                                "value": false
+                            },
+                            "skip_empty": {
+                                "advanced": true,
+                                "display_name": "Skip Empty",
+                                "dynamic": false,
+                                "info": "",
+                                "list": false,
+                                "name": "skip_empty",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "bool",
+                                "value": false
+                            },
+                            "tiktoken_enable": {
+                                "advanced": true,
+                                "display_name": "TikToken Enable",
+                                "dynamic": false,
+                                "info": "If False, you must have transformers installed.",
+                                "list": false,
+                                "name": "tiktoken_enable",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "bool",
+                                "value": true
+                            },
+                            "tiktoken_model_name": {
+                                "advanced": true,
+                                "display_name": "TikToken Model Name",
+                                "dynamic": false,
+                                "info": "",
+                                "input_types": [
+                                    "Message",
+                                    "str"
+                                ],
+                                "list": false,
+                                "load_from_db": false,
+                                "name": "tiktoken_model_name",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": ""
+                            }
+                        }
+                    },
+                    "type": "OpenAIEmbeddings"
+                },
+                "dragging": false,
+                "height": 393,
+                "id": "OpenAIEmbeddings-hNOwh",
+                "position": {
+                    "x": 672.1192980997866,
+                    "y": 786.6985113716086
+                },
+                "positionAbsolute": {
+                    "x": 672.1192980997866,
+                    "y": 786.6985113716086
+                },
+                "selected": false,
+                "type": "genericNode",
+                "width": 384
+            },
+            {
+                "data": {
+                    "description": "Generates text using OpenAI LLMs.",
+                    "display_name": "OpenAI",
+                    "edited": false,
+                    "id": "OpenAIModel-euVNy",
+                    "node": {
+                        "base_classes": [
+                            "LanguageModel",
+                            "Message"
+                        ],
+                        "beta": false,
+                        "conditional_paths": [],
+                        "custom_fields": {},
+                        "description": "Generates text using OpenAI LLMs.",
+                        "display_name": "OpenAI",
+                        "documentation": "",
+                        "edited": true,
+                        "field_order": [
+                            "input_value",
+                            "max_tokens",
+                            "model_kwargs",
+                            "output_schema",
+                            "model_name",
+                            "openai_api_base",
+                            "openai_api_key",
+                            "temperature",
+                            "stream",
+                            "system_message",
+                            "seed"
+                        ],
+                        "frozen": false,
+                        "icon": "OpenAI",
+                        "output_types": [],
+                        "outputs": [
+                            {
+                                "cache": true,
+                                "display_name": "Text",
+                                "hidden": false,
+                                "method": "text_response",
+                                "name": "text_output",
+                                "selected": "Message",
+                                "types": [
+                                    "Message"
+                                ],
+                                "value": "__UNDEFINED__"
+                            },
+                            {
+                                "cache": true,
+                                "display_name": "Language Model",
+                                "method": "build_model",
+                                "name": "model_output",
+                                "selected": "LanguageModel",
+                                "types": [
+                                    "LanguageModel"
+                                ],
+                                "value": "__UNDEFINED__"
+                            }
+                        ],
+                        "pinned": false,
+                        "template": {
+                            "_type": "Component",
+                            "code": {
+                                "advanced": true,
+                                "dynamic": true,
+                                "fileTypes": [],
+                                "file_path": "",
+                                "info": "",
+                                "list": false,
+                                "load_from_db": false,
+                                "multiline": true,
+                                "name": "code",
+                                "password": false,
+                                "placeholder": "",
+                                "required": true,
+                                "show": true,
+                                "title_case": false,
+                                "type": "code",
+                                "value": "import operator\nfrom functools import reduce\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import LanguageModel\nfrom langflow.inputs import (\n    BoolInput,\n    DictInput,\n    DropdownInput,\n    FloatInput,\n    IntInput,\n    MessageInput,\n    SecretStrInput,\n    StrInput,\n)\n\n\nclass OpenAIModelComponent(LCModelComponent):\n    display_name = \"OpenAI\"\n    description = \"Generates text using OpenAI LLMs.\"\n    icon = \"OpenAI\"\n\n    inputs = [\n        MessageInput(name=\"input_value\", display_name=\"Input\"),\n        IntInput(\n            name=\"max_tokens\",\n            display_name=\"Max Tokens\",\n            advanced=True,\n            info=\"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n        ),\n        DictInput(name=\"model_kwargs\", display_name=\"Model Kwargs\", advanced=True),\n        DictInput(\n            name=\"output_schema\",\n            is_list=True,\n            display_name=\"Schema\",\n            advanced=True,\n            info=\"The schema for the Output of the model. You must pass the word JSON in the prompt. If left blank, JSON mode will be disabled.\",\n        ),\n        DropdownInput(\n            name=\"model_name\", display_name=\"Model Name\", advanced=False, options=MODEL_NAMES, value=MODEL_NAMES[0]\n        ),\n        StrInput(\n            name=\"openai_api_base\",\n            display_name=\"OpenAI API Base\",\n            advanced=True,\n            info=\"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1. You can change this to use other APIs like JinaChat, LocalAI and Prem.\",\n        ),\n        SecretStrInput(\n            name=\"openai_api_key\",\n            display_name=\"OpenAI API Key\",\n            info=\"The OpenAI API Key to use for the OpenAI model.\",\n            advanced=False,\n            value=\"OPENAI_API_KEY\",\n        ),\n        FloatInput(name=\"temperature\", display_name=\"Temperature\", value=0.1),\n        BoolInput(name=\"stream\", display_name=\"Stream\", info=STREAM_INFO_TEXT, advanced=True),\n        StrInput(\n            name=\"system_message\",\n            display_name=\"System Message\",\n            info=\"System message to pass to the model.\",\n            advanced=True,\n        ),\n        IntInput(\n            name=\"seed\",\n            display_name=\"Seed\",\n            info=\"The seed controls the reproducibility of the job.\",\n            advanced=True,\n            value=1,\n        ),\n    ]\n\n    def build_model(self) -> LanguageModel:\n        # self.output_schea is a list of dictionaries\n        # let's convert it to a dictionary\n        output_schema_dict: dict[str, str] = reduce(operator.ior, self.output_schema or {}, {})\n        openai_api_key = self.openai_api_key\n        temperature = self.temperature\n        model_name: str = self.model_name\n        max_tokens = self.max_tokens\n        model_kwargs = self.model_kwargs or {}\n        openai_api_base = self.openai_api_base or \"https://api.openai.com/v1\"\n        json_mode = bool(output_schema_dict)\n        seed = self.seed\n        model_kwargs[\"seed\"] = seed\n\n        if openai_api_key:\n            api_key = SecretStr(openai_api_key)\n        else:\n            api_key = None\n        output = ChatOpenAI(\n            max_tokens=max_tokens or None,\n            model_kwargs=model_kwargs,\n            model=model_name,\n            base_url=openai_api_base,\n            api_key=api_key,\n            temperature=temperature or 0.1,\n        )\n        if json_mode:\n            output = output.with_structured_output(schema=output_schema_dict, method=\"json_mode\")  # type: ignore\n\n        return output\n\n    def _get_exception_message(self, e: Exception):\n        \"\"\"\n        Get a message from an OpenAI exception.\n\n        Args:\n            exception (Exception): The exception to get the message from.\n\n        Returns:\n            str: The message from the exception.\n        \"\"\"\n\n        try:\n            from openai import BadRequestError\n        except ImportError:\n            return\n        if isinstance(e, BadRequestError):\n            message = e.body.get(\"message\")  # type: ignore\n            if message:\n                return message\n        return\n"
+                            },
+                            "input_value": {
+                                "advanced": false,
+                                "display_name": "Input",
+                                "dynamic": false,
+                                "info": "",
+                                "input_types": [
+                                    "Message"
+                                ],
+                                "list": false,
+                                "load_from_db": false,
+                                "name": "input_value",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": ""
+                            },
+                            "max_tokens": {
+                                "advanced": true,
+                                "display_name": "Max Tokens",
+                                "dynamic": false,
+                                "info": "The maximum number of tokens to generate. Set to 0 for unlimited tokens.",
+                                "list": false,
+                                "name": "max_tokens",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "int",
+                                "value": ""
+                            },
+                            "model_kwargs": {
+                                "advanced": true,
+                                "display_name": "Model Kwargs",
+                                "dynamic": false,
+                                "info": "",
+                                "list": false,
+                                "name": "model_kwargs",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "dict",
+                                "value": {}
+                            },
+                            "model_name": {
+                                "advanced": false,
+                                "display_name": "Model Name",
+                                "dynamic": false,
+                                "info": "",
+                                "name": "model_name",
+                                "options": [
+                                    "gpt-4o",
+                                    "gpt-4-turbo",
+                                    "gpt-4-turbo-preview",
+                                    "gpt-3.5-turbo",
+                                    "gpt-3.5-turbo-0125"
+                                ],
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": "gpt-4-turbo"
+                            },
+                            "openai_api_base": {
+                                "advanced": true,
+                                "display_name": "OpenAI API Base",
+                                "dynamic": false,
+                                "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1. You can change this to use other APIs like JinaChat, LocalAI and Prem.",
+                                "list": false,
+                                "load_from_db": false,
+                                "name": "openai_api_base",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": ""
+                            },
+                            "openai_api_key": {
+                                "advanced": false,
+                                "display_name": "OpenAI API Key",
+                                "dynamic": false,
+                                "info": "The OpenAI API Key to use for the OpenAI model.",
+                                "input_types": [],
+                                "load_from_db": false,
+                                "name": "openai_api_key",
+                                "password": true,
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": ""
+                            },
+                            "output_schema": {
+                                "advanced": true,
+                                "display_name": "Schema",
+                                "dynamic": false,
+                                "info": "The schema for the Output of the model. You must pass the word JSON in the prompt. If left blank, JSON mode will be disabled.",
+                                "list": true,
+                                "name": "output_schema",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "dict",
+                                "value": {}
+                            },
+                            "seed": {
+                                "advanced": true,
+                                "display_name": "Seed",
+                                "dynamic": false,
+                                "info": "The seed controls the reproducibility of the job.",
+                                "list": false,
+                                "name": "seed",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "int",
+                                "value": 1
+                            },
+                            "stream": {
+                                "advanced": true,
+                                "display_name": "Stream",
+                                "dynamic": false,
+                                "info": "Stream the response from the model. Streaming works only in Chat.",
+                                "list": false,
+                                "name": "stream",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "bool",
+                                "value": false
+                            },
+                            "system_message": {
+                                "advanced": true,
+                                "display_name": "System Message",
+                                "dynamic": false,
+                                "info": "System message to pass to the model.",
+                                "list": false,
+                                "load_from_db": false,
+                                "name": "system_message",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": ""
+                            },
+                            "temperature": {
+                                "advanced": false,
+                                "display_name": "Temperature",
+                                "dynamic": false,
+                                "info": "",
+                                "list": false,
+                                "name": "temperature",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "float",
+                                "value": 0.1
+                            }
+                        }
+                    },
+                    "type": "OpenAIModel"
+                },
+                "dragging": false,
+                "height": 623,
+                "id": "OpenAIModel-euVNy",
+                "position": {
+                    "x": 3243.967394111999,
+                    "y": 392.861541437184
+                },
+                "positionAbsolute": {
+                    "x": 3243.967394111999,
+                    "y": 392.861541437184
+                },
+                "selected": false,
+                "type": "genericNode",
+                "width": 384
+            },
+            {
+                "data": {
+                    "description": "Display a chat message in the Playground.",
+                    "display_name": "Chat Output",
+                    "edited": false,
+                    "id": "ChatOutput-1eddV",
+                    "node": {
+                        "base_classes": [
+                            "Message"
+                        ],
+                        "beta": false,
+                        "conditional_paths": [],
+                        "custom_fields": {},
+                        "description": "Display a chat message in the Playground.",
+                        "display_name": "Chat Output",
+                        "documentation": "",
+                        "edited": true,
+                        "field_order": [
+                            "input_value",
+                            "sender",
+                            "sender_name",
+                            "session_id",
+                            "data_template"
+                        ],
+                        "frozen": false,
+                        "icon": "ChatOutput",
+                        "output_types": [],
+                        "outputs": [
+                            {
+                                "cache": true,
+                                "display_name": "Message",
+                                "method": "message_response",
+                                "name": "message",
+                                "selected": "Message",
+                                "types": [
+                                    "Message"
+                                ],
+                                "value": "__UNDEFINED__"
+                            }
+                        ],
+                        "pinned": false,
+                        "template": {
+                            "_type": "Component",
+                            "code": {
+                                "advanced": true,
+                                "dynamic": true,
+                                "fileTypes": [],
+                                "file_path": "",
+                                "info": "",
+                                "list": false,
+                                "load_from_db": false,
+                                "multiline": true,
+                                "name": "code",
+                                "password": false,
+                                "placeholder": "",
+                                "required": true,
+                                "show": true,
+                                "title_case": false,
+                                "type": "code",
+                                "value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.schema.message import Message\n\n\nclass ChatOutput(ChatComponent):\n    display_name = \"Chat Output\"\n    description = \"Display a chat message in the Playground.\"\n    icon = \"ChatOutput\"\n\n    inputs = [\n        MessageTextInput(\n            name=\"input_value\",\n            display_name=\"Text\",\n            info=\"Message to be passed as output.\",\n        ),\n        DropdownInput(\n            name=\"sender\",\n            display_name=\"Sender Type\",\n            options=[\"Machine\", \"User\"],\n            value=\"Machine\",\n            advanced=True,\n            info=\"Type of sender.\",\n        ),\n        MessageTextInput(\n            name=\"sender_name\", display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\", advanced=True\n        ),\n        MessageTextInput(\n            name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n        ),\n        MessageTextInput(\n            name=\"data_template\",\n            display_name=\"Data Template\",\n            value=\"{text}\",\n            advanced=True,\n            info=\"Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.\",\n        ),\n    ]\n    outputs = [\n        Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n    ]\n\n    def message_response(self) -> Message:\n        message = Message(\n            text=self.input_value,\n            sender=self.sender,\n            sender_name=self.sender_name,\n            session_id=self.session_id,\n        )\n        if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n            self.store_message(message)\n            self.message.value = message\n\n        self.status = message\n        return message\n"
+                            },
+                            "data_template": {
+                                "advanced": true,
+                                "display_name": "Data Template",
+                                "dynamic": false,
+                                "info": "Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.",
+                                "input_types": [
+                                    "Message"
+                                ],
+                                "list": false,
+                                "load_from_db": false,
+                                "name": "data_template",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "trace_as_input": true,
+                                "trace_as_metadata": true,
+                                "type": "str",
+                                "value": "{text}"
+                            },
+                            "input_value": {
+                                "advanced": false,
+                                "display_name": "Text",
+                                "dynamic": false,
+                                "info": "Message to be passed as output.",
+                                "input_types": [
+                                    "Message"
+                                ],
+                                "list": false,
+                                "load_from_db": false,
+                                "name": "input_value",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "trace_as_input": true,
+                                "trace_as_metadata": true,
+                                "type": "str",
+                                "value": ""
+                            },
+                            "sender": {
+                                "advanced": true,
+                                "display_name": "Sender Type",
+                                "dynamic": false,
+                                "info": "Type of sender.",
+                                "name": "sender",
+                                "options": [
+                                    "Machine",
+                                    "User"
+                                ],
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "trace_as_metadata": true,
+                                "type": "str",
+                                "value": "Machine"
+                            },
+                            "sender_name": {
+                                "advanced": true,
+                                "display_name": "Sender Name",
+                                "dynamic": false,
+                                "info": "Name of the sender.",
+                                "input_types": [
+                                    "Message"
+                                ],
+                                "list": false,
+                                "load_from_db": false,
+                                "name": "sender_name",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "trace_as_input": true,
+                                "trace_as_metadata": true,
+                                "type": "str",
+                                "value": "AI"
+                            },
+                            "session_id": {
+                                "advanced": true,
+                                "display_name": "Session ID",
+                                "dynamic": false,
+                                "info": "Session ID for the message.",
+                                "input_types": [
+                                    "Message"
+                                ],
+                                "list": false,
+                                "load_from_db": false,
+                                "name": "session_id",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "trace_as_input": true,
+                                "trace_as_metadata": true,
+                                "type": "str",
+                                "value": ""
+                            }
+                        }
+                    },
+                    "type": "ChatOutput"
+                },
+                "dragging": false,
+                "height": 309,
+                "id": "ChatOutput-1eddV",
+                "position": {
+                    "x": 3788.786948642587,
+                    "y": 608.4077159222614
+                },
+                "positionAbsolute": {
+                    "x": 3788.786948642587,
+                    "y": 608.4077159222614
+                },
+                "selected": false,
+                "type": "genericNode",
+                "width": 384
+            },
+            {
+                "data": {
+                    "id": "File-p2YBf",
+                    "node": {
+                        "base_classes": [
+                            "Record"
+                        ],
+                        "beta": false,
+                        "custom_fields": {
+                            "path": null,
+                            "silent_errors": null
+                        },
+                        "description": "A generic file loader.",
+                        "display_name": "File",
+                        "documentation": "",
+                        "field_formatters": {},
+                        "field_order": [],
+                        "frozen": false,
+                        "icon": "file-text",
+                        "output_types": [],
+                        "outputs": [
+                            {
+                                "cache": true,
+                                "display_name": "Data",
+                                "hidden": false,
+                                "method": "load_file",
+                                "name": "data",
+                                "selected": "Data",
+                                "types": [
+                                    "Data"
+                                ],
+                                "value": "__UNDEFINED__"
+                            }
+                        ],
+                        "template": {
+                            "_type": "Component",
+                            "code": {
+                                "advanced": true,
+                                "dynamic": true,
+                                "fileTypes": [],
+                                "file_path": "",
+                                "info": "",
+                                "list": false,
+                                "load_from_db": false,
+                                "multiline": true,
+                                "name": "code",
+                                "password": false,
+                                "placeholder": "",
+                                "required": true,
+                                "show": true,
+                                "title_case": false,
+                                "type": "code",
+                                "value": "from pathlib import Path\n\nfrom langflow.base.data.utils import TEXT_FILE_TYPES, parse_text_file_to_data\nfrom langflow.custom import Component\nfrom langflow.io import BoolInput, FileInput, Output\nfrom langflow.schema import Data\n\n\nclass FileComponent(Component):\n    display_name = \"File\"\n    description = \"A generic file loader.\"\n    icon = \"file-text\"\n\n    inputs = [\n        FileInput(\n            name=\"path\",\n            display_name=\"Path\",\n            file_types=TEXT_FILE_TYPES,\n            info=f\"Supported file types: {', '.join(TEXT_FILE_TYPES)}\",\n        ),\n        BoolInput(\n            name=\"silent_errors\",\n            display_name=\"Silent Errors\",\n            advanced=True,\n            info=\"If true, errors will not raise an exception.\",\n        ),\n    ]\n\n    outputs = [\n        Output(display_name=\"Data\", name=\"data\", method=\"load_file\"),\n    ]\n\n    def load_file(self) -> Data:\n        if not self.path:\n            raise ValueError(\"Please, upload a file to use this component.\")\n        resolved_path = self.resolve_path(self.path)\n        silent_errors = self.silent_errors\n\n        extension = Path(resolved_path).suffix[1:].lower()\n\n        if extension == \"doc\":\n            raise ValueError(\"doc files are not supported. Please save as .docx\")\n        if extension not in TEXT_FILE_TYPES:\n            raise ValueError(f\"Unsupported file type: {extension}\")\n\n        data = parse_text_file_to_data(resolved_path, silent_errors)\n        self.status = data if data else \"No data\"\n        return data or Data()\n"
+                            },
+                            "path": {
+                                "advanced": false,
+                                "display_name": "Path",
+                                "dynamic": false,
+                                "fileTypes": [
+                                    "txt",
+                                    "md",
+                                    "mdx",
+                                    "csv",
+                                    "json",
+                                    "yaml",
+                                    "yml",
+                                    "xml",
+                                    "html",
+                                    "htm",
+                                    "pdf",
+                                    "docx",
+                                    "py",
+                                    "sh",
+                                    "sql",
+                                    "js",
+                                    "ts",
+                                    "tsx"
+                                ],
+                                "file_path": "bba1609b-3af2-431d-a884-322cc253c69d/flatland.pdf",
+                                "info": "Supported file types: txt, md, mdx, csv, json, yaml, yml, xml, html, htm, pdf, docx, py, sh, sql, js, ts, tsx",
+                                "list": false,
+                                "name": "path",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "file",
+                                "value": ""
+                            },
+                            "silent_errors": {
+                                "advanced": true,
+                                "display_name": "Silent Errors",
+                                "dynamic": false,
+                                "info": "If true, errors will not raise an exception.",
+                                "list": false,
+                                "name": "silent_errors",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "bool",
+                                "value": false
+                            }
+                        }
+                    },
+                    "type": "File"
+                },
+                "dragging": false,
+                "height": 301,
+                "id": "File-p2YBf",
+                "position": {
+                    "x": 1435.8917804347734,
+                    "y": 1603.546667861399
+                },
+                "positionAbsolute": {
+                    "x": 1435.8917804347734,
+                    "y": 1603.546667861399
+                },
+                "selected": false,
+                "type": "genericNode",
+                "width": 384
+            },
+            {
+                "data": {
+                    "description": "Implementation of Vector Store using Astra DB with search capabilities",
+                    "display_name": "Astra DB Vector Store",
+                    "id": "AstraDB-p6135",
+                    "node": {
+                        "base_classes": [
+                            "Data"
+                        ],
+                        "beta": false,
+                        "conditional_paths": [],
+                        "custom_fields": {},
+                        "description": "Implementation of Vector Store using Astra DB with search capabilities",
+                        "display_name": "Astra DB Vector Store",
+                        "documentation": "https://python.langchain.com/docs/integrations/vectorstores/astradb",
+                        "edited": false,
+                        "field_order": [
+                            "collection_name",
+                            "token",
+                            "api_endpoint",
+                            "vector_store_inputs",
+                            "embedding",
+                            "namespace",
+                            "metric",
+                            "batch_size",
+                            "bulk_insert_batch_concurrency",
+                            "bulk_insert_overwrite_concurrency",
+                            "bulk_delete_concurrency",
+                            "setup_mode",
+                            "pre_delete_collection",
+                            "metadata_indexing_include",
+                            "metadata_indexing_exclude",
+                            "collection_indexing_policy",
+                            "add_to_vector_store",
+                            "search_input",
+                            "search_type",
+                            "number_of_results"
+                        ],
+                        "frozen": false,
+                        "icon": "AstraDB",
+                        "output_types": [],
+                        "outputs": [
+                            {
+                                "cache": true,
+                                "display_name": "Retriever",
+                                "method": "build_base_retriever",
+                                "name": "base_retriever",
+                                "selected": "Data",
+                                "types": [
+                                    "Data"
+                                ],
+                                "value": "__UNDEFINED__"
+                            },
+                            {
+                                "cache": true,
+                                "display_name": "Search Results",
+                                "hidden": false,
+                                "method": "search_documents",
+                                "name": "search_results",
+                                "selected": "Data",
+                                "types": [
+                                    "Data"
+                                ],
+                                "value": "__UNDEFINED__"
+                            }
+                        ],
+                        "pinned": false,
+                        "template": {
+                            "_type": "Component",
+                            "add_to_vector_store": {
+                                "advanced": false,
+                                "display_name": "Add to Vector Store",
+                                "dynamic": false,
+                                "info": "If true, the Vector Store Inputs will be added to the Vector Store.",
+                                "list": false,
+                                "name": "add_to_vector_store",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "bool",
+                                "value": false
+                            },
+                            "api_endpoint": {
+                                "advanced": false,
+                                "display_name": "API Endpoint",
+                                "dynamic": false,
+                                "info": "API endpoint URL for the Astra DB service.",
+                                "input_types": [],
+                                "load_from_db": false,
+                                "name": "api_endpoint",
+                                "password": true,
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": ""
+                            },
+                            "batch_size": {
+                                "advanced": true,
+                                "display_name": "Batch Size",
+                                "dynamic": false,
+                                "info": "Optional number of data to process in a single batch.",
+                                "list": false,
+                                "name": "batch_size",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "int",
+                                "value": ""
+                            },
+                            "bulk_delete_concurrency": {
+                                "advanced": true,
+                                "display_name": "Bulk Delete Concurrency",
+                                "dynamic": false,
+                                "info": "Optional concurrency level for bulk delete operations.",
+                                "list": false,
+                                "name": "bulk_delete_concurrency",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "int",
+                                "value": ""
+                            },
+                            "bulk_insert_batch_concurrency": {
+                                "advanced": true,
+                                "display_name": "Bulk Insert Batch Concurrency",
+                                "dynamic": false,
+                                "info": "Optional concurrency level for bulk insert operations.",
+                                "list": false,
+                                "name": "bulk_insert_batch_concurrency",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "int",
+                                "value": ""
+                            },
+                            "bulk_insert_overwrite_concurrency": {
+                                "advanced": true,
+                                "display_name": "Bulk Insert Overwrite Concurrency",
+                                "dynamic": false,
+                                "info": "Optional concurrency level for bulk insert operations that overwrite existing data.",
+                                "list": false,
+                                "name": "bulk_insert_overwrite_concurrency",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "int",
+                                "value": ""
+                            },
+                            "code": {
+                                "advanced": true,
+                                "dynamic": true,
+                                "fileTypes": [],
+                                "file_path": "",
+                                "info": "",
+                                "list": false,
+                                "load_from_db": false,
+                                "multiline": true,
+                                "name": "code",
+                                "password": false,
+                                "placeholder": "",
+                                "required": true,
+                                "show": true,
+                                "title_case": false,
+                                "type": "code",
+                                "value": "from loguru import logger\n\nfrom langflow.base.vectorstores.model import LCVectorStoreComponent\nfrom langflow.io import BoolInput, DropdownInput, HandleInput, IntInput, MultilineInput, SecretStrInput, StrInput\nfrom langflow.schema import Data\n\n\nclass AstraVectorStoreComponent(LCVectorStoreComponent):\n    display_name: str = \"Astra DB Vector Store\"\n    description: str = \"Implementation of Vector Store using Astra DB with search capabilities\"\n    documentation: str = \"https://python.langchain.com/docs/integrations/vectorstores/astradb\"\n    icon: str = \"AstraDB\"\n\n    inputs = [\n        StrInput(\n            name=\"collection_name\",\n            display_name=\"Collection Name\",\n            info=\"The name of the collection within Astra DB where the vectors will be stored.\",\n        ),\n        SecretStrInput(\n            name=\"token\",\n            display_name=\"Astra DB Application Token\",\n            info=\"Authentication token for accessing Astra DB.\",\n            value=\"ASTRA_DB_APPLICATION_TOKEN\",\n        ),\n        SecretStrInput(\n            name=\"api_endpoint\",\n            display_name=\"API Endpoint\",\n            info=\"API endpoint URL for the Astra DB service.\",\n            value=\"ASTRA_DB_API_ENDPOINT\",\n        ),\n        HandleInput(\n            name=\"vector_store_inputs\",\n            display_name=\"Vector Store Inputs\",\n            input_types=[\"Document\", \"Data\"],\n            is_list=True,\n        ),\n        HandleInput(\n            name=\"embedding\",\n            display_name=\"Embedding\",\n            input_types=[\"Embeddings\"],\n        ),\n        StrInput(\n            name=\"namespace\",\n            display_name=\"Namespace\",\n            info=\"Optional namespace within Astra DB to use for the collection.\",\n            advanced=True,\n        ),\n        DropdownInput(\n            name=\"metric\",\n            display_name=\"Metric\",\n            info=\"Optional distance metric for vector comparisons in the vector store.\",\n            options=[\"cosine\", \"dot_product\", \"euclidean\"],\n            advanced=True,\n        ),\n        IntInput(\n            name=\"batch_size\",\n            display_name=\"Batch Size\",\n            info=\"Optional number of data to process in a single batch.\",\n            advanced=True,\n        ),\n        IntInput(\n            name=\"bulk_insert_batch_concurrency\",\n            display_name=\"Bulk Insert Batch Concurrency\",\n            info=\"Optional concurrency level for bulk insert operations.\",\n            advanced=True,\n        ),\n        IntInput(\n            name=\"bulk_insert_overwrite_concurrency\",\n            display_name=\"Bulk Insert Overwrite Concurrency\",\n            info=\"Optional concurrency level for bulk insert operations that overwrite existing data.\",\n            advanced=True,\n        ),\n        IntInput(\n            name=\"bulk_delete_concurrency\",\n            display_name=\"Bulk Delete Concurrency\",\n            info=\"Optional concurrency level for bulk delete operations.\",\n            advanced=True,\n        ),\n        DropdownInput(\n            name=\"setup_mode\",\n            display_name=\"Setup Mode\",\n            info=\"Configuration mode for setting up the vector store, with options like 'Sync', 'Async', or 'Off'.\",\n            options=[\"Sync\", \"Async\", \"Off\"],\n            advanced=True,\n            value=\"Sync\",\n        ),\n        BoolInput(\n            name=\"pre_delete_collection\",\n            display_name=\"Pre Delete Collection\",\n            info=\"Boolean flag to determine whether to delete the collection before creating a new one.\",\n            advanced=True,\n        ),\n        StrInput(\n            name=\"metadata_indexing_include\",\n            display_name=\"Metadata Indexing Include\",\n            info=\"Optional list of metadata fields to include in the indexing.\",\n            advanced=True,\n        ),\n        StrInput(\n            name=\"metadata_indexing_exclude\",\n            display_name=\"Metadata Indexing Exclude\",\n            info=\"Optional list of metadata fields to exclude from the indexing.\",\n            advanced=True,\n        ),\n        StrInput(\n            name=\"collection_indexing_policy\",\n            display_name=\"Collection Indexing Policy\",\n            info=\"Optional dictionary defining the indexing policy for the collection.\",\n            advanced=True,\n        ),\n        BoolInput(\n            name=\"add_to_vector_store\",\n            display_name=\"Add to Vector Store\",\n            info=\"If true, the Vector Store Inputs will be added to the Vector Store.\",\n        ),\n        MultilineInput(\n            name=\"search_input\",\n            display_name=\"Search Input\",\n        ),\n        DropdownInput(\n            name=\"search_type\",\n            display_name=\"Search Type\",\n            options=[\"Similarity\", \"MMR\"],\n            value=\"Similarity\",\n        ),\n        IntInput(\n            name=\"number_of_results\",\n            display_name=\"Number of Results\",\n            info=\"Number of results to return.\",\n            advanced=True,\n            value=4,\n        ),\n    ]\n\n    def build_vector_store(self):\n        try:\n            from langchain_astradb import AstraDBVectorStore\n            from langchain_astradb.utils.astradb import SetupMode\n        except ImportError:\n            raise ImportError(\n                \"Could not import langchain Astra DB integration package. \"\n                \"Please install it with `pip install langchain-astradb`.\"\n            )\n\n        try:\n            if not self.setup_mode:\n                self.setup_mode = self._inputs[\"setup_mode\"].options[0]\n\n            setup_mode_value = SetupMode[self.setup_mode.upper()]\n        except KeyError:\n            raise ValueError(f\"Invalid setup mode: {self.setup_mode}\")\n\n        vector_store_kwargs = {\n            \"embedding\": self.embedding,\n            \"collection_name\": self.collection_name,\n            \"token\": self.token,\n            \"api_endpoint\": self.api_endpoint,\n            \"namespace\": self.namespace or None,\n            \"metric\": self.metric or None,\n            \"batch_size\": self.batch_size or None,\n            \"bulk_insert_batch_concurrency\": self.bulk_insert_batch_concurrency or None,\n            \"bulk_insert_overwrite_concurrency\": self.bulk_insert_overwrite_concurrency or None,\n            \"bulk_delete_concurrency\": self.bulk_delete_concurrency or None,\n            \"setup_mode\": setup_mode_value,\n            \"pre_delete_collection\": self.pre_delete_collection or False,\n        }\n\n        if self.metadata_indexing_include:\n            vector_store_kwargs[\"metadata_indexing_include\"] = self.metadata_indexing_include\n        elif self.metadata_indexing_exclude:\n            vector_store_kwargs[\"metadata_indexing_exclude\"] = self.metadata_indexing_exclude\n        elif self.collection_indexing_policy:\n            vector_store_kwargs[\"collection_indexing_policy\"] = self.collection_indexing_policy\n\n        try:\n            vector_store = AstraDBVectorStore(**vector_store_kwargs)\n        except Exception as e:\n            raise ValueError(f\"Error initializing AstraDBVectorStore: {str(e)}\") from e\n\n        if self.add_to_vector_store:\n            self._add_documents_to_vector_store(vector_store)\n\n        return vector_store\n\n    def build_base_retriever(self):\n        vector_store = self.build_vector_store()\n        self.status = self._astradb_collection_to_data(vector_store.collection)\n        return vector_store\n\n    def _add_documents_to_vector_store(self, vector_store):\n        documents = []\n        for _input in self.vector_store_inputs or []:\n            if isinstance(_input, Data):\n                documents.append(_input.to_lc_document())\n            else:\n                raise ValueError(\"Vector Store Inputs must be Data objects.\")\n\n        if documents and self.embedding is not None:\n            logger.debug(f\"Adding {len(documents)} documents to the Vector Store.\")\n            try:\n                vector_store.add_documents(documents)\n            except Exception as e:\n                raise ValueError(f\"Error adding documents to AstraDBVectorStore: {str(e)}\") from e\n        else:\n            logger.debug(\"No documents to add to the Vector Store.\")\n\n    def search_documents(self):\n        vector_store = self.build_vector_store()\n\n        logger.debug(f\"Search input: {self.search_input}\")\n        logger.debug(f\"Search type: {self.search_type}\")\n        logger.debug(f\"Number of results: {self.number_of_results}\")\n\n        if self.search_input and isinstance(self.search_input, str) and self.search_input.strip():\n            try:\n                if self.search_type == \"Similarity\":\n                    docs = vector_store.similarity_search(\n                        query=self.search_input,\n                        k=self.number_of_results,\n                    )\n                elif self.search_type == \"MMR\":\n                    docs = vector_store.max_marginal_relevance_search(\n                        query=self.search_input,\n                        k=self.number_of_results,\n                    )\n                else:\n                    raise ValueError(f\"Invalid search type: {self.search_type}\")\n            except Exception as e:\n                raise ValueError(f\"Error performing search in AstraDBVectorStore: {str(e)}\") from e\n\n            logger.debug(f\"Retrieved documents: {len(docs)}\")\n\n            data = [Data.from_document(doc) for doc in docs]\n            logger.debug(f\"Converted documents to data: {len(data)}\")\n            self.status = data\n            return data\n        else:\n            logger.debug(\"No search input provided. Skipping search.\")\n            return []\n\n    def _astradb_collection_to_data(self, collection):\n        data = []\n        data_dict = collection.find()\n        if data_dict and \"data\" in data_dict:\n            data_dict = data_dict[\"data\"].get(\"documents\", [])\n\n        for item in data_dict:\n            data.append(Data(content=item[\"content\"]))\n        return data\n"
+                            },
+                            "collection_indexing_policy": {
+                                "advanced": true,
+                                "display_name": "Collection Indexing Policy",
+                                "dynamic": false,
+                                "info": "Optional dictionary defining the indexing policy for the collection.",
+                                "list": false,
+                                "load_from_db": false,
+                                "name": "collection_indexing_policy",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": ""
+                            },
+                            "collection_name": {
+                                "advanced": false,
+                                "display_name": "Collection Name",
+                                "dynamic": false,
+                                "info": "The name of the collection within Astra DB where the vectors will be stored.",
+                                "list": false,
+                                "load_from_db": false,
+                                "name": "collection_name",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": "langflow"
+                            },
+                            "embedding": {
+                                "advanced": false,
+                                "display_name": "Embedding",
+                                "dynamic": false,
+                                "info": "",
+                                "input_types": [
+                                    "Embeddings"
+                                ],
+                                "list": false,
+                                "name": "embedding",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "other",
+                                "value": ""
+                            },
+                            "metadata_indexing_exclude": {
+                                "advanced": true,
+                                "display_name": "Metadata Indexing Exclude",
+                                "dynamic": false,
+                                "info": "Optional list of metadata fields to exclude from the indexing.",
+                                "list": false,
+                                "load_from_db": false,
+                                "name": "metadata_indexing_exclude",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": ""
+                            },
+                            "metadata_indexing_include": {
+                                "advanced": true,
+                                "display_name": "Metadata Indexing Include",
+                                "dynamic": false,
+                                "info": "Optional list of metadata fields to include in the indexing.",
+                                "list": false,
+                                "load_from_db": false,
+                                "name": "metadata_indexing_include",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": ""
+                            },
+                            "metric": {
+                                "advanced": true,
+                                "display_name": "Metric",
+                                "dynamic": false,
+                                "info": "Optional distance metric for vector comparisons in the vector store.",
+                                "name": "metric",
+                                "options": [
+                                    "cosine",
+                                    "dot_product",
+                                    "euclidean"
+                                ],
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": ""
+                            },
+                            "namespace": {
+                                "advanced": true,
+                                "display_name": "Namespace",
+                                "dynamic": false,
+                                "info": "Optional namespace within Astra DB to use for the collection.",
+                                "list": false,
+                                "load_from_db": false,
+                                "name": "namespace",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": ""
+                            },
+                            "number_of_results": {
+                                "advanced": true,
+                                "display_name": "Number of Results",
+                                "dynamic": false,
+                                "info": "Number of results to return.",
+                                "list": false,
+                                "name": "number_of_results",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "int",
+                                "value": 4
+                            },
+                            "pre_delete_collection": {
+                                "advanced": true,
+                                "display_name": "Pre Delete Collection",
+                                "dynamic": false,
+                                "info": "Boolean flag to determine whether to delete the collection before creating a new one.",
+                                "list": false,
+                                "name": "pre_delete_collection",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "bool",
+                                "value": false
+                            },
+                            "search_input": {
+                                "advanced": false,
+                                "display_name": "Search Input",
+                                "dynamic": false,
+                                "info": "",
+                                "input_types": [
+                                    "Message",
+                                    "str"
+                                ],
+                                "list": false,
+                                "load_from_db": false,
+                                "multiline": true,
+                                "name": "search_input",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": ""
+                            },
+                            "search_type": {
+                                "advanced": false,
+                                "display_name": "Search Type",
+                                "dynamic": false,
+                                "info": "",
+                                "name": "search_type",
+                                "options": [
+                                    "Similarity",
+                                    "MMR"
+                                ],
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": "Similarity"
+                            },
+                            "setup_mode": {
+                                "advanced": true,
+                                "display_name": "Setup Mode",
+                                "dynamic": false,
+                                "info": "Configuration mode for setting up the vector store, with options like 'Sync', 'Async', or 'Off'.",
+                                "name": "setup_mode",
+                                "options": [
+                                    "Sync",
+                                    "Async",
+                                    "Off"
+                                ],
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": "Sync"
+                            },
+                            "token": {
+                                "advanced": false,
+                                "display_name": "Astra DB Application Token",
+                                "dynamic": false,
+                                "info": "Authentication token for accessing Astra DB.",
+                                "input_types": [],
+                                "load_from_db": false,
+                                "name": "token",
+                                "password": true,
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": ""
+                            },
+                            "vector_store_inputs": {
+                                "advanced": false,
+                                "display_name": "Vector Store Inputs",
+                                "dynamic": false,
+                                "info": "",
+                                "input_types": [
+                                    "Document",
+                                    "Data"
+                                ],
+                                "list": true,
+                                "name": "vector_store_inputs",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "other",
+                                "value": ""
+                            }
+                        }
+                    },
+                    "type": "AstraDB"
+                },
+                "dragging": false,
+                "height": 917,
+                "id": "AstraDB-p6135",
+                "position": {
+                    "x": 1298.4611042465333,
+                    "y": 160.7181472642742
+                },
+                "positionAbsolute": {
+                    "x": 1298.4611042465333,
+                    "y": 160.7181472642742
+                },
+                "selected": false,
+                "type": "genericNode",
+                "width": 384
+            },
+            {
+                "data": {
+                    "id": "ParseData-9DrmC",
+                    "node": {
+                        "base_classes": [
+                            "Message"
+                        ],
+                        "beta": false,
+                        "conditional_paths": [],
+                        "custom_fields": {},
+                        "description": "Convert Data into plain text following a specified template.",
+                        "display_name": "Parse Data",
+                        "documentation": "",
+                        "field_order": [
+                            "data",
+                            "template",
+                            "sep"
+                        ],
+                        "frozen": false,
+                        "icon": "braces",
+                        "output_types": [],
+                        "outputs": [
+                            {
+                                "cache": true,
+                                "display_name": "Text",
+                                "hidden": false,
+                                "method": "parse_data",
+                                "name": "text",
+                                "selected": "Message",
+                                "types": [
+                                    "Message"
+                                ],
+                                "value": "__UNDEFINED__"
+                            }
+                        ],
+                        "pinned": false,
+                        "template": {
+                            "_type": "Component",
+                            "code": {
+                                "advanced": true,
+                                "dynamic": true,
+                                "fileTypes": [],
+                                "file_path": "",
+                                "info": "",
+                                "list": false,
+                                "load_from_db": false,
+                                "multiline": true,
+                                "name": "code",
+                                "password": false,
+                                "placeholder": "",
+                                "required": true,
+                                "show": true,
+                                "title_case": false,
+                                "type": "code",
+                                "value": "from langflow.custom import Component\nfrom langflow.helpers.data import data_to_text\nfrom langflow.io import DataInput, MultilineInput, Output, StrInput\nfrom langflow.schema.message import Message\n\n\nclass ParseDataComponent(Component):\n    display_name = \"Parse Data\"\n    description = \"Convert Data into plain text following a specified template.\"\n    icon = \"braces\"\n\n    inputs = [\n        DataInput(name=\"data\", display_name=\"Data\", info=\"The data to convert to text.\"),\n        MultilineInput(\n            name=\"template\",\n            display_name=\"Template\",\n            info=\"The template to use for formatting the data. It can contain the keys {text}, {data} or any other key in the Data.\",\n            value=\"{text}\",\n        ),\n        StrInput(name=\"sep\", display_name=\"Separator\", advanced=True, value=\"\\n\"),\n    ]\n\n    outputs = [\n        Output(display_name=\"Text\", name=\"text\", method=\"parse_data\"),\n    ]\n\n    def parse_data(self) -> Message:\n        data = self.data if isinstance(self.data, list) else [self.data]\n        template = self.template\n\n        result_string = data_to_text(template, data, sep=self.sep)\n        self.status = result_string\n        return Message(text=result_string)\n"
+                            },
+                            "data": {
+                                "advanced": false,
+                                "display_name": "Data",
+                                "dynamic": false,
+                                "info": "The data to convert to text.",
+                                "input_types": [
+                                    "Data"
+                                ],
+                                "list": false,
+                                "name": "data",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "other",
+                                "value": ""
+                            },
+                            "sep": {
+                                "advanced": true,
+                                "display_name": "Separator",
+                                "dynamic": false,
+                                "info": "",
+                                "list": false,
+                                "load_from_db": false,
+                                "name": "sep",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": "---"
+                            },
+                            "template": {
+                                "advanced": false,
+                                "display_name": "Template",
+                                "dynamic": false,
+                                "info": "The template to use for formatting the data. It can contain the keys {text}, {data} or any other key in the Data.",
+                                "input_types": [
+                                    "Message",
+                                    "str"
+                                ],
+                                "list": false,
+                                "load_from_db": false,
+                                "multiline": true,
+                                "name": "template",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": "{text}"
+                            }
+                        }
+                    },
+                    "type": "ParseData"
+                },
+                "dragging": false,
+                "height": 385,
+                "id": "ParseData-9DrmC",
+                "position": {
+                    "x": 1911.4866480237615,
+                    "y": 566.903831987901
+                },
+                "positionAbsolute": {
+                    "x": 1911.4866480237615,
+                    "y": 566.903831987901
+                },
+                "selected": false,
+                "type": "genericNode",
+                "width": 384
+            },
+            {
+                "data": {
+                    "description": "Create a prompt template with dynamic variables.",
+                    "display_name": "Prompt",
+                    "id": "Prompt-EEXgw",
+                    "node": {
+                        "base_classes": [
+                            "Message"
+                        ],
+                        "beta": false,
+                        "conditional_paths": [],
+                        "custom_fields": {
+                            "template": [
+                                "context",
+                                "question"
+                            ]
+                        },
+                        "description": "Create a prompt template with dynamic variables.",
+                        "display_name": "Prompt",
+                        "documentation": "",
+                        "edited": false,
+                        "error": null,
+                        "field_order": [
+                            "template"
+                        ],
+                        "frozen": false,
+                        "full_path": null,
+                        "icon": "prompts",
+                        "is_composition": null,
+                        "is_input": null,
+                        "is_output": null,
+                        "name": "",
+                        "output_types": [],
+                        "outputs": [
+                            {
+                                "cache": true,
+                                "display_name": "Prompt Message",
+                                "hidden": false,
+                                "method": "build_prompt",
+                                "name": "prompt",
+                                "selected": "Message",
+                                "types": [
+                                    "Message"
+                                ],
+                                "value": "__UNDEFINED__"
+                            }
+                        ],
+                        "pinned": false,
+                        "template": {
+                            "_type": "Component",
+                            "code": {
+                                "advanced": true,
+                                "dynamic": true,
+                                "fileTypes": [],
+                                "file_path": "",
+                                "info": "",
+                                "list": false,
+                                "load_from_db": false,
+                                "multiline": true,
+                                "name": "code",
+                                "password": false,
+                                "placeholder": "",
+                                "required": true,
+                                "show": true,
+                                "title_case": false,
+                                "type": "code",
+                                "value": "from langflow.base.prompts.api_utils import process_prompt_template\nfrom langflow.custom import Component\nfrom langflow.io import Output, PromptInput\nfrom langflow.schema.message import Message\nfrom langflow.template.utils import update_template_values\n\n\nclass PromptComponent(Component):\n    display_name: str = \"Prompt\"\n    description: str = \"Create a prompt template with dynamic variables.\"\n    icon = \"prompts\"\n    trace_type = \"prompt\"\n\n    inputs = [\n        PromptInput(name=\"template\", display_name=\"Template\"),\n    ]\n\n    outputs = [\n        Output(display_name=\"Prompt Message\", name=\"prompt\", method=\"build_prompt\"),\n    ]\n\n    async def build_prompt(\n        self,\n    ) -> Message:\n        prompt = await Message.from_template_and_variables(**self._attributes)\n        self.status = prompt.text\n        return prompt\n\n    def post_code_processing(self, new_build_config: dict, current_build_config: dict):\n        \"\"\"\n        This function is called after the code validation is done.\n        \"\"\"\n        frontend_node = super().post_code_processing(new_build_config, current_build_config)\n        template = frontend_node[\"template\"][\"template\"][\"value\"]\n        _ = process_prompt_template(\n            template=template,\n            name=\"template\",\n            custom_fields=frontend_node[\"custom_fields\"],\n            frontend_node_template=frontend_node[\"template\"],\n        )\n        # Now that template is updated, we need to grab any values that were set in the current_build_config\n        # and update the frontend_node with those values\n        update_template_values(frontend_template=frontend_node, raw_template=current_build_config[\"template\"])\n        return frontend_node\n"
+                            },
+                            "context": {
+                                "advanced": false,
+                                "display_name": "context",
+                                "dynamic": false,
+                                "field_type": "str",
+                                "fileTypes": [],
+                                "file_path": "",
+                                "info": "",
+                                "input_types": [
+                                    "Message",
+                                    "Text"
+                                ],
+                                "list": false,
+                                "load_from_db": false,
+                                "multiline": true,
+                                "name": "context",
+                                "password": false,
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": ""
+                            },
+                            "question": {
+                                "advanced": false,
+                                "display_name": "question",
+                                "dynamic": false,
+                                "field_type": "str",
+                                "fileTypes": [],
+                                "file_path": "",
+                                "info": "",
+                                "input_types": [
+                                    "Message",
+                                    "Text"
+                                ],
+                                "list": false,
+                                "load_from_db": false,
+                                "multiline": true,
+                                "name": "question",
+                                "password": false,
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": ""
+                            },
+                            "template": {
+                                "advanced": false,
+                                "display_name": "Template",
+                                "dynamic": false,
+                                "info": "",
+                                "list": false,
+                                "name": "template",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "trace_as_input": true,
+                                "type": "prompt",
+                                "value": "{context}\n\n---\n\nGiven the context above, answer the question as best as possible.\n\nQuestion: {question}\n\nAnswer: "
+                            }
+                        }
+                    },
+                    "type": "Prompt"
+                },
+                "dragging": false,
+                "height": 517,
+                "id": "Prompt-EEXgw",
+                "position": {
+                    "x": 2537.8054430938064,
+                    "y": 442.35183727527414
+                },
+                "positionAbsolute": {
+                    "x": 2537.8054430938064,
+                    "y": 442.35183727527414
+                },
+                "selected": false,
+                "type": "genericNode",
+                "width": 384
+            },
+            {
+                "data": {
+                    "id": "SplitText-qI0jS",
+                    "node": {
+                        "base_classes": [
+                            "Data"
+                        ],
+                        "beta": false,
+                        "conditional_paths": [],
+                        "custom_fields": {},
+                        "description": "Split text into chunks based on specified criteria.",
+                        "display_name": "Split Text",
+                        "documentation": "",
+                        "edited": false,
+                        "field_order": [
+                            "data_inputs",
+                            "chunk_overlap",
+                            "chunk_size",
+                            "separator"
+                        ],
+                        "frozen": false,
+                        "icon": "scissors-line-dashed",
+                        "output_types": [],
+                        "outputs": [
+                            {
+                                "cache": true,
+                                "display_name": "Chunks",
+                                "hidden": false,
+                                "method": "split_text",
+                                "name": "chunks",
+                                "selected": "Data",
+                                "types": [
+                                    "Data"
+                                ],
+                                "value": "__UNDEFINED__"
+                            }
+                        ],
+                        "pinned": false,
+                        "template": {
+                            "_type": "Component",
+                            "chunk_overlap": {
+                                "advanced": false,
+                                "display_name": "Chunk Overlap",
+                                "dynamic": false,
+                                "info": "Number of characters to overlap between chunks.",
+                                "list": false,
+                                "name": "chunk_overlap",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "trace_as_metadata": true,
+                                "type": "int",
+                                "value": 200
+                            },
+                            "chunk_size": {
+                                "advanced": false,
+                                "display_name": "Chunk Size",
+                                "dynamic": false,
+                                "info": "The maximum number of characters in each chunk.",
+                                "list": false,
+                                "name": "chunk_size",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "trace_as_metadata": true,
+                                "type": "int",
+                                "value": 1000
+                            },
+                            "code": {
+                                "advanced": true,
+                                "dynamic": true,
+                                "fileTypes": [],
+                                "file_path": "",
+                                "info": "",
+                                "list": false,
+                                "load_from_db": false,
+                                "multiline": true,
+                                "name": "code",
+                                "password": false,
+                                "placeholder": "",
+                                "required": true,
+                                "show": true,
+                                "title_case": false,
+                                "type": "code",
+                                "value": "from typing import List\n\nfrom langchain_text_splitters import CharacterTextSplitter\n\nfrom langflow.custom import Component\nfrom langflow.io import HandleInput, IntInput, MessageTextInput, Output\nfrom langflow.schema import Data\nfrom langflow.utils.util import unescape_string\n\n\nclass SplitTextComponent(Component):\n    display_name: str = \"Split Text\"\n    description: str = \"Split text into chunks based on specified criteria.\"\n    icon = \"scissors-line-dashed\"\n\n    inputs = [\n        HandleInput(\n            name=\"data_inputs\",\n            display_name=\"Data Inputs\",\n            info=\"The data to split.\",\n            input_types=[\"Data\"],\n            is_list=True,\n        ),\n        IntInput(\n            name=\"chunk_overlap\",\n            display_name=\"Chunk Overlap\",\n            info=\"Number of characters to overlap between chunks.\",\n            value=200,\n        ),\n        IntInput(\n            name=\"chunk_size\",\n            display_name=\"Chunk Size\",\n            info=\"The maximum number of characters in each chunk.\",\n            value=1000,\n        ),\n        MessageTextInput(\n            name=\"separator\",\n            display_name=\"Separator\",\n            info=\"The character to split on. Defaults to newline.\",\n            value=\"\\n\",\n        ),\n    ]\n\n    outputs = [\n        Output(display_name=\"Chunks\", name=\"chunks\", method=\"split_text\"),\n    ]\n\n    def _docs_to_data(self, docs):\n        data = []\n        for doc in docs:\n            data.append(Data(text=doc.page_content, data=doc.metadata))\n        return data\n\n    def split_text(self) -> List[Data]:\n        separator = unescape_string(self.separator)\n\n        documents = []\n        for _input in self.data_inputs:\n            if isinstance(_input, Data):\n                documents.append(_input.to_lc_document())\n\n        splitter = CharacterTextSplitter(\n            chunk_overlap=self.chunk_overlap,\n            chunk_size=self.chunk_size,\n            separator=separator,\n        )\n        docs = splitter.split_documents(documents)\n        data = self._docs_to_data(docs)\n        self.status = data\n        return data\n"
+                            },
+                            "data_inputs": {
+                                "advanced": false,
+                                "display_name": "Data Inputs",
+                                "dynamic": false,
+                                "info": "The data to split.",
+                                "input_types": [
+                                    "Data"
+                                ],
+                                "list": true,
+                                "name": "data_inputs",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "trace_as_metadata": true,
+                                "type": "other",
+                                "value": ""
+                            },
+                            "separator": {
+                                "advanced": false,
+                                "display_name": "Separator",
+                                "dynamic": false,
+                                "info": "The character to split on. Defaults to newline.",
+                                "input_types": [
+                                    "Message"
+                                ],
+                                "list": false,
+                                "load_from_db": false,
+                                "name": "separator",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "trace_as_input": true,
+                                "trace_as_metadata": true,
+                                "type": "str",
+                                "value": "\n"
+                            }
+                        }
+                    },
+                    "type": "SplitText"
+                },
+                "dragging": false,
+                "height": 557,
+                "id": "SplitText-qI0jS",
+                "position": {
+                    "x": 1992.5159478772907,
+                    "y": 1190.8288727494814
+                },
+                "positionAbsolute": {
+                    "x": 1992.5159478772907,
+                    "y": 1190.8288727494814
+                },
+                "selected": false,
+                "type": "genericNode",
+                "width": 384
+            },
+            {
+                "id": "AstraDB-AX2Xz",
+                "type": "genericNode",
+                "position": {
+                    "x": 2773.0562333179937,
+                    "y": 1160.0660495763536
+                },
+                "data": {
+                    "description": "Implementation of Vector Store using Astra DB with search capabilities",
+                    "display_name": "Astra DB Vector Store",
+                    "id": "AstraDB-AX2Xz",
+                    "node": {
+                        "base_classes": [
+                            "Data"
+                        ],
+                        "beta": false,
+                        "conditional_paths": [],
+                        "custom_fields": {},
+                        "description": "Implementation of Vector Store using Astra DB with search capabilities",
+                        "display_name": "Astra DB Vector Store",
+                        "documentation": "https://python.langchain.com/docs/integrations/vectorstores/astradb",
+                        "edited": false,
+                        "field_order": [
+                            "collection_name",
+                            "token",
+                            "api_endpoint",
+                            "vector_store_inputs",
+                            "embedding",
+                            "namespace",
+                            "metric",
+                            "batch_size",
+                            "bulk_insert_batch_concurrency",
+                            "bulk_insert_overwrite_concurrency",
+                            "bulk_delete_concurrency",
+                            "setup_mode",
+                            "pre_delete_collection",
+                            "metadata_indexing_include",
+                            "metadata_indexing_exclude",
+                            "collection_indexing_policy",
+                            "add_to_vector_store",
+                            "search_input",
+                            "search_type",
+                            "number_of_results"
+                        ],
+                        "frozen": false,
+                        "icon": "AstraDB",
+                        "output_types": [],
+                        "outputs": [
+                            {
+                                "cache": true,
+                                "display_name": "Retriever",
+                                "method": "build_base_retriever",
+                                "name": "base_retriever",
+                                "selected": "Data",
+                                "types": [
+                                    "Data"
+                                ],
+                                "value": "__UNDEFINED__"
+                            },
+                            {
+                                "cache": true,
+                                "display_name": "Search Results",
+                                "hidden": false,
+                                "method": "search_documents",
+                                "name": "search_results",
+                                "selected": "Data",
+                                "types": [
+                                    "Data"
+                                ],
+                                "value": "__UNDEFINED__"
+                            }
+                        ],
+                        "pinned": false,
+                        "template": {
+                            "_type": "Component",
+                            "add_to_vector_store": {
+                                "advanced": false,
+                                "display_name": "Add to Vector Store",
+                                "dynamic": false,
+                                "info": "If true, the Vector Store Inputs will be added to the Vector Store.",
+                                "list": false,
+                                "name": "add_to_vector_store",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "bool",
+                                "value": true
+                            },
+                            "api_endpoint": {
+                                "advanced": false,
+                                "display_name": "API Endpoint",
+                                "dynamic": false,
+                                "info": "API endpoint URL for the Astra DB service.",
+                                "input_types": [],
+                                "load_from_db": false,
+                                "name": "api_endpoint",
+                                "password": true,
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": ""
+                            },
+                            "batch_size": {
+                                "advanced": true,
+                                "display_name": "Batch Size",
+                                "dynamic": false,
+                                "info": "Optional number of data to process in a single batch.",
+                                "list": false,
+                                "name": "batch_size",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "int",
+                                "value": ""
+                            },
+                            "bulk_delete_concurrency": {
+                                "advanced": true,
+                                "display_name": "Bulk Delete Concurrency",
+                                "dynamic": false,
+                                "info": "Optional concurrency level for bulk delete operations.",
+                                "list": false,
+                                "name": "bulk_delete_concurrency",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "int",
+                                "value": ""
+                            },
+                            "bulk_insert_batch_concurrency": {
+                                "advanced": true,
+                                "display_name": "Bulk Insert Batch Concurrency",
+                                "dynamic": false,
+                                "info": "Optional concurrency level for bulk insert operations.",
+                                "list": false,
+                                "name": "bulk_insert_batch_concurrency",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "int",
+                                "value": ""
+                            },
+                            "bulk_insert_overwrite_concurrency": {
+                                "advanced": true,
+                                "display_name": "Bulk Insert Overwrite Concurrency",
+                                "dynamic": false,
+                                "info": "Optional concurrency level for bulk insert operations that overwrite existing data.",
+                                "list": false,
+                                "name": "bulk_insert_overwrite_concurrency",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "int",
+                                "value": ""
+                            },
+                            "code": {
+                                "advanced": true,
+                                "dynamic": true,
+                                "fileTypes": [],
+                                "file_path": "",
+                                "info": "",
+                                "list": false,
+                                "load_from_db": false,
+                                "multiline": true,
+                                "name": "code",
+                                "password": false,
+                                "placeholder": "",
+                                "required": true,
+                                "show": true,
+                                "title_case": false,
+                                "type": "code",
+                                "value": "from loguru import logger\n\nfrom langflow.base.vectorstores.model import LCVectorStoreComponent\nfrom langflow.io import BoolInput, DropdownInput, HandleInput, IntInput, MultilineInput, SecretStrInput, StrInput\nfrom langflow.schema import Data\n\n\nclass AstraVectorStoreComponent(LCVectorStoreComponent):\n    display_name: str = \"Astra DB Vector Store\"\n    description: str = \"Implementation of Vector Store using Astra DB with search capabilities\"\n    documentation: str = \"https://python.langchain.com/docs/integrations/vectorstores/astradb\"\n    icon: str = \"AstraDB\"\n\n    inputs = [\n        StrInput(\n            name=\"collection_name\",\n            display_name=\"Collection Name\",\n            info=\"The name of the collection within Astra DB where the vectors will be stored.\",\n        ),\n        SecretStrInput(\n            name=\"token\",\n            display_name=\"Astra DB Application Token\",\n            info=\"Authentication token for accessing Astra DB.\",\n            value=\"ASTRA_DB_APPLICATION_TOKEN\",\n        ),\n        SecretStrInput(\n            name=\"api_endpoint\",\n            display_name=\"API Endpoint\",\n            info=\"API endpoint URL for the Astra DB service.\",\n            value=\"ASTRA_DB_API_ENDPOINT\",\n        ),\n        HandleInput(\n            name=\"vector_store_inputs\",\n            display_name=\"Vector Store Inputs\",\n            input_types=[\"Document\", \"Data\"],\n            is_list=True,\n        ),\n        HandleInput(\n            name=\"embedding\",\n            display_name=\"Embedding\",\n            input_types=[\"Embeddings\"],\n        ),\n        StrInput(\n            name=\"namespace\",\n            display_name=\"Namespace\",\n            info=\"Optional namespace within Astra DB to use for the collection.\",\n            advanced=True,\n        ),\n        DropdownInput(\n            name=\"metric\",\n            display_name=\"Metric\",\n            info=\"Optional distance metric for vector comparisons in the vector store.\",\n            options=[\"cosine\", \"dot_product\", \"euclidean\"],\n            advanced=True,\n        ),\n        IntInput(\n            name=\"batch_size\",\n            display_name=\"Batch Size\",\n            info=\"Optional number of data to process in a single batch.\",\n            advanced=True,\n        ),\n        IntInput(\n            name=\"bulk_insert_batch_concurrency\",\n            display_name=\"Bulk Insert Batch Concurrency\",\n            info=\"Optional concurrency level for bulk insert operations.\",\n            advanced=True,\n        ),\n        IntInput(\n            name=\"bulk_insert_overwrite_concurrency\",\n            display_name=\"Bulk Insert Overwrite Concurrency\",\n            info=\"Optional concurrency level for bulk insert operations that overwrite existing data.\",\n            advanced=True,\n        ),\n        IntInput(\n            name=\"bulk_delete_concurrency\",\n            display_name=\"Bulk Delete Concurrency\",\n            info=\"Optional concurrency level for bulk delete operations.\",\n            advanced=True,\n        ),\n        DropdownInput(\n            name=\"setup_mode\",\n            display_name=\"Setup Mode\",\n            info=\"Configuration mode for setting up the vector store, with options like 'Sync', 'Async', or 'Off'.\",\n            options=[\"Sync\", \"Async\", \"Off\"],\n            advanced=True,\n            value=\"Sync\",\n        ),\n        BoolInput(\n            name=\"pre_delete_collection\",\n            display_name=\"Pre Delete Collection\",\n            info=\"Boolean flag to determine whether to delete the collection before creating a new one.\",\n            advanced=True,\n        ),\n        StrInput(\n            name=\"metadata_indexing_include\",\n            display_name=\"Metadata Indexing Include\",\n            info=\"Optional list of metadata fields to include in the indexing.\",\n            advanced=True,\n        ),\n        StrInput(\n            name=\"metadata_indexing_exclude\",\n            display_name=\"Metadata Indexing Exclude\",\n            info=\"Optional list of metadata fields to exclude from the indexing.\",\n            advanced=True,\n        ),\n        StrInput(\n            name=\"collection_indexing_policy\",\n            display_name=\"Collection Indexing Policy\",\n            info=\"Optional dictionary defining the indexing policy for the collection.\",\n            advanced=True,\n        ),\n        BoolInput(\n            name=\"add_to_vector_store\",\n            display_name=\"Add to Vector Store\",\n            info=\"If true, the Vector Store Inputs will be added to the Vector Store.\",\n        ),\n        MultilineInput(\n            name=\"search_input\",\n            display_name=\"Search Input\",\n        ),\n        DropdownInput(\n            name=\"search_type\",\n            display_name=\"Search Type\",\n            options=[\"Similarity\", \"MMR\"],\n            value=\"Similarity\",\n        ),\n        IntInput(\n            name=\"number_of_results\",\n            display_name=\"Number of Results\",\n            info=\"Number of results to return.\",\n            advanced=True,\n            value=4,\n        ),\n    ]\n\n    def build_vector_store(self):\n        try:\n            from langchain_astradb import AstraDBVectorStore\n            from langchain_astradb.utils.astradb import SetupMode\n        except ImportError:\n            raise ImportError(\n                \"Could not import langchain Astra DB integration package. \"\n                \"Please install it with `pip install langchain-astradb`.\"\n            )\n\n        try:\n            if not self.setup_mode:\n                self.setup_mode = self._inputs[\"setup_mode\"].options[0]\n\n            setup_mode_value = SetupMode[self.setup_mode.upper()]\n        except KeyError:\n            raise ValueError(f\"Invalid setup mode: {self.setup_mode}\")\n\n        vector_store_kwargs = {\n            \"embedding\": self.embedding,\n            \"collection_name\": self.collection_name,\n            \"token\": self.token,\n            \"api_endpoint\": self.api_endpoint,\n            \"namespace\": self.namespace or None,\n            \"metric\": self.metric or None,\n            \"batch_size\": self.batch_size or None,\n            \"bulk_insert_batch_concurrency\": self.bulk_insert_batch_concurrency or None,\n            \"bulk_insert_overwrite_concurrency\": self.bulk_insert_overwrite_concurrency or None,\n            \"bulk_delete_concurrency\": self.bulk_delete_concurrency or None,\n            \"setup_mode\": setup_mode_value,\n            \"pre_delete_collection\": self.pre_delete_collection or False,\n        }\n\n        if self.metadata_indexing_include:\n            vector_store_kwargs[\"metadata_indexing_include\"] = self.metadata_indexing_include\n        elif self.metadata_indexing_exclude:\n            vector_store_kwargs[\"metadata_indexing_exclude\"] = self.metadata_indexing_exclude\n        elif self.collection_indexing_policy:\n            vector_store_kwargs[\"collection_indexing_policy\"] = self.collection_indexing_policy\n\n        try:\n            vector_store = AstraDBVectorStore(**vector_store_kwargs)\n        except Exception as e:\n            raise ValueError(f\"Error initializing AstraDBVectorStore: {str(e)}\") from e\n\n        if self.add_to_vector_store:\n            self._add_documents_to_vector_store(vector_store)\n\n        return vector_store\n\n    def build_base_retriever(self):\n        vector_store = self.build_vector_store()\n        self.status = self._astradb_collection_to_data(vector_store.collection)\n        return vector_store\n\n    def _add_documents_to_vector_store(self, vector_store):\n        documents = []\n        for _input in self.vector_store_inputs or []:\n            if isinstance(_input, Data):\n                documents.append(_input.to_lc_document())\n            else:\n                raise ValueError(\"Vector Store Inputs must be Data objects.\")\n\n        if documents and self.embedding is not None:\n            logger.debug(f\"Adding {len(documents)} documents to the Vector Store.\")\n            try:\n                vector_store.add_documents(documents)\n            except Exception as e:\n                raise ValueError(f\"Error adding documents to AstraDBVectorStore: {str(e)}\") from e\n        else:\n            logger.debug(\"No documents to add to the Vector Store.\")\n\n    def search_documents(self):\n        vector_store = self.build_vector_store()\n\n        logger.debug(f\"Search input: {self.search_input}\")\n        logger.debug(f\"Search type: {self.search_type}\")\n        logger.debug(f\"Number of results: {self.number_of_results}\")\n\n        if self.search_input and isinstance(self.search_input, str) and self.search_input.strip():\n            try:\n                if self.search_type == \"Similarity\":\n                    docs = vector_store.similarity_search(\n                        query=self.search_input,\n                        k=self.number_of_results,\n                    )\n                elif self.search_type == \"MMR\":\n                    docs = vector_store.max_marginal_relevance_search(\n                        query=self.search_input,\n                        k=self.number_of_results,\n                    )\n                else:\n                    raise ValueError(f\"Invalid search type: {self.search_type}\")\n            except Exception as e:\n                raise ValueError(f\"Error performing search in AstraDBVectorStore: {str(e)}\") from e\n\n            logger.debug(f\"Retrieved documents: {len(docs)}\")\n\n            data = [Data.from_document(doc) for doc in docs]\n            logger.debug(f\"Converted documents to data: {len(data)}\")\n            self.status = data\n            return data\n        else:\n            logger.debug(\"No search input provided. Skipping search.\")\n            return []\n\n    def _astradb_collection_to_data(self, collection):\n        data = []\n        data_dict = collection.find()\n        if data_dict and \"data\" in data_dict:\n            data_dict = data_dict[\"data\"].get(\"documents\", [])\n\n        for item in data_dict:\n            data.append(Data(content=item[\"content\"]))\n        return data\n"
+                            },
+                            "collection_indexing_policy": {
+                                "advanced": true,
+                                "display_name": "Collection Indexing Policy",
+                                "dynamic": false,
+                                "info": "Optional dictionary defining the indexing policy for the collection.",
+                                "list": false,
+                                "load_from_db": false,
+                                "name": "collection_indexing_policy",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": ""
+                            },
+                            "collection_name": {
+                                "advanced": false,
+                                "display_name": "Collection Name",
+                                "dynamic": false,
+                                "info": "The name of the collection within Astra DB where the vectors will be stored.",
+                                "list": false,
+                                "load_from_db": false,
+                                "name": "collection_name",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": "langflow"
+                            },
+                            "embedding": {
+                                "advanced": false,
+                                "display_name": "Embedding",
+                                "dynamic": false,
+                                "info": "",
+                                "input_types": [
+                                    "Embeddings"
+                                ],
+                                "list": false,
+                                "name": "embedding",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "other",
+                                "value": ""
+                            },
+                            "metadata_indexing_exclude": {
+                                "advanced": true,
+                                "display_name": "Metadata Indexing Exclude",
+                                "dynamic": false,
+                                "info": "Optional list of metadata fields to exclude from the indexing.",
+                                "list": false,
+                                "load_from_db": false,
+                                "name": "metadata_indexing_exclude",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": ""
+                            },
+                            "metadata_indexing_include": {
+                                "advanced": true,
+                                "display_name": "Metadata Indexing Include",
+                                "dynamic": false,
+                                "info": "Optional list of metadata fields to include in the indexing.",
+                                "list": false,
+                                "load_from_db": false,
+                                "name": "metadata_indexing_include",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": ""
+                            },
+                            "metric": {
+                                "advanced": true,
+                                "display_name": "Metric",
+                                "dynamic": false,
+                                "info": "Optional distance metric for vector comparisons in the vector store.",
+                                "name": "metric",
+                                "options": [
+                                    "cosine",
+                                    "dot_product",
+                                    "euclidean"
+                                ],
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": ""
+                            },
+                            "namespace": {
+                                "advanced": true,
+                                "display_name": "Namespace",
+                                "dynamic": false,
+                                "info": "Optional namespace within Astra DB to use for the collection.",
+                                "list": false,
+                                "load_from_db": false,
+                                "name": "namespace",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": ""
+                            },
+                            "number_of_results": {
+                                "advanced": true,
+                                "display_name": "Number of Results",
+                                "dynamic": false,
+                                "info": "Number of results to return.",
+                                "list": false,
+                                "name": "number_of_results",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "int",
+                                "value": 4
+                            },
+                            "pre_delete_collection": {
+                                "advanced": true,
+                                "display_name": "Pre Delete Collection",
+                                "dynamic": false,
+                                "info": "Boolean flag to determine whether to delete the collection before creating a new one.",
+                                "list": false,
+                                "name": "pre_delete_collection",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "bool",
+                                "value": false
+                            },
+                            "search_input": {
+                                "advanced": false,
+                                "display_name": "Search Input",
+                                "dynamic": false,
+                                "info": "",
+                                "input_types": [
+                                    "Message",
+                                    "str"
+                                ],
+                                "list": false,
+                                "load_from_db": false,
+                                "multiline": true,
+                                "name": "search_input",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": ""
+                            },
+                            "search_type": {
+                                "advanced": false,
+                                "display_name": "Search Type",
+                                "dynamic": false,
+                                "info": "",
+                                "name": "search_type",
+                                "options": [
+                                    "Similarity",
+                                    "MMR"
+                                ],
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": "Similarity"
+                            },
+                            "setup_mode": {
+                                "advanced": true,
+                                "display_name": "Setup Mode",
+                                "dynamic": false,
+                                "info": "Configuration mode for setting up the vector store, with options like 'Sync', 'Async', or 'Off'.",
+                                "name": "setup_mode",
+                                "options": [
+                                    "Sync",
+                                    "Async",
+                                    "Off"
+                                ],
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": "Sync"
+                            },
+                            "token": {
+                                "advanced": false,
+                                "display_name": "Astra DB Application Token",
+                                "dynamic": false,
+                                "info": "Authentication token for accessing Astra DB.",
+                                "input_types": [],
+                                "load_from_db": false,
+                                "name": "token",
+                                "password": true,
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": ""
+                            },
+                            "vector_store_inputs": {
+                                "advanced": false,
+                                "display_name": "Vector Store Inputs",
+                                "dynamic": false,
+                                "info": "",
+                                "input_types": [
+                                    "Document",
+                                    "Data"
+                                ],
+                                "list": true,
+                                "name": "vector_store_inputs",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "other",
+                                "value": ""
+                            }
+                        }
+                    },
+                    "type": "AstraDB"
+                },
+                "selected": false,
+                "width": 384,
+                "height": 917,
+                "positionAbsolute": {
+                    "x": 2773.0562333179937,
+                    "y": 1160.0660495763536
+                },
+                "dragging": false
+            },
+            {
+                "id": "OpenAIEmbeddings-PQc6x",
+                "type": "genericNode",
+                "position": {
+                    "x": 1992.590633037642,
+                    "y": 1850.2707576021312
+                },
+                "data": {
+                    "id": "OpenAIEmbeddings-PQc6x",
+                    "node": {
+                        "base_classes": [
+                            "Embeddings"
+                        ],
+                        "beta": false,
+                        "custom_fields": {
+                            "allowed_special": null,
+                            "chunk_size": null,
+                            "client": null,
+                            "default_headers": null,
+                            "default_query": null,
+                            "deployment": null,
+                            "disallowed_special": null,
+                            "embedding_ctx_length": null,
+                            "max_retries": null,
+                            "model": null,
+                            "model_kwargs": null,
+                            "openai_api_base": null,
+                            "openai_api_key": null,
+                            "openai_api_type": null,
+                            "openai_api_version": null,
+                            "openai_organization": null,
+                            "openai_proxy": null,
+                            "request_timeout": null,
+                            "show_progress_bar": null,
+                            "skip_empty": null,
+                            "tiktoken_enable": null,
+                            "tiktoken_model_name": null
+                        },
+                        "description": "Generate embeddings using OpenAI models.",
+                        "display_name": "OpenAI Embeddings",
+                        "documentation": "",
+                        "field_formatters": {},
+                        "field_order": [],
+                        "frozen": false,
+                        "icon": "OpenAI",
+                        "output_types": [],
+                        "outputs": [
+                            {
+                                "cache": true,
+                                "display_name": "Embeddings",
+                                "hidden": false,
+                                "method": "build_embeddings",
+                                "name": "embeddings",
+                                "selected": "Embeddings",
+                                "types": [
+                                    "Embeddings"
+                                ],
+                                "value": "__UNDEFINED__"
+                            }
+                        ],
+                        "template": {
+                            "_type": "Component",
+                            "chunk_size": {
+                                "advanced": true,
+                                "display_name": "Chunk Size",
+                                "dynamic": false,
+                                "info": "",
+                                "list": false,
+                                "name": "chunk_size",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "int",
+                                "value": 1000
+                            },
+                            "client": {
+                                "advanced": true,
+                                "display_name": "Client",
+                                "dynamic": false,
+                                "info": "",
+                                "input_types": [
+                                    "Message",
+                                    "str"
+                                ],
+                                "list": false,
+                                "load_from_db": false,
+                                "name": "client",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": ""
+                            },
+                            "code": {
+                                "advanced": true,
+                                "dynamic": true,
+                                "fileTypes": [],
+                                "file_path": "",
+                                "info": "",
+                                "list": false,
+                                "load_from_db": false,
+                                "multiline": true,
+                                "name": "code",
+                                "password": false,
+                                "placeholder": "",
+                                "required": true,
+                                "show": true,
+                                "title_case": false,
+                                "type": "code",
+                                "value": "from langchain_openai.embeddings.base import OpenAIEmbeddings\n\nfrom langflow.base.embeddings.model import LCEmbeddingsModel\nfrom langflow.field_typing import Embeddings\nfrom langflow.io import BoolInput, DictInput, DropdownInput, FloatInput, IntInput, SecretStrInput, MessageTextInput\n\n\nclass OpenAIEmbeddingsComponent(LCEmbeddingsModel):\n    display_name = \"OpenAI Embeddings\"\n    description = \"Generate embeddings using OpenAI models.\"\n    icon = \"OpenAI\"\n    inputs = [\n        DictInput(\n            name=\"default_headers\",\n            display_name=\"Default Headers\",\n            advanced=True,\n            info=\"Default headers to use for the API request.\",\n        ),\n        DictInput(\n            name=\"default_query\",\n            display_name=\"Default Query\",\n            advanced=True,\n            info=\"Default query parameters to use for the API request.\",\n        ),\n        IntInput(name=\"chunk_size\", display_name=\"Chunk Size\", advanced=True, value=1000),\n        MessageTextInput(name=\"client\", display_name=\"Client\", advanced=True),\n        MessageTextInput(name=\"deployment\", display_name=\"Deployment\", advanced=True),\n        IntInput(name=\"embedding_ctx_length\", display_name=\"Embedding Context Length\", advanced=True, value=1536),\n        IntInput(name=\"max_retries\", display_name=\"Max Retries\", value=3, advanced=True),\n        DropdownInput(\n            name=\"model\",\n            display_name=\"Model\",\n            advanced=False,\n            options=[\n                \"text-embedding-3-small\",\n                \"text-embedding-3-large\",\n                \"text-embedding-ada-002\",\n            ],\n            value=\"text-embedding-3-small\",\n        ),\n        DictInput(name=\"model_kwargs\", display_name=\"Model Kwargs\", advanced=True),\n        SecretStrInput(name=\"openai_api_base\", display_name=\"OpenAI API Base\", advanced=True),\n        SecretStrInput(name=\"openai_api_key\", display_name=\"OpenAI API Key\"),\n        SecretStrInput(name=\"openai_api_type\", display_name=\"OpenAI API Type\", advanced=True),\n        MessageTextInput(name=\"openai_api_version\", display_name=\"OpenAI API Version\", advanced=True),\n        MessageTextInput(\n            name=\"openai_organization\",\n            display_name=\"OpenAI Organization\",\n            advanced=True,\n        ),\n        MessageTextInput(name=\"openai_proxy\", display_name=\"OpenAI Proxy\", advanced=True),\n        FloatInput(name=\"request_timeout\", display_name=\"Request Timeout\", advanced=True),\n        BoolInput(name=\"show_progress_bar\", display_name=\"Show Progress Bar\", advanced=True),\n        BoolInput(name=\"skip_empty\", display_name=\"Skip Empty\", advanced=True),\n        MessageTextInput(\n            name=\"tiktoken_model_name\",\n            display_name=\"TikToken Model Name\",\n            advanced=True,\n        ),\n        BoolInput(\n            name=\"tiktoken_enable\",\n            display_name=\"TikToken Enable\",\n            advanced=True,\n            value=True,\n            info=\"If False, you must have transformers installed.\",\n        ),\n    ]\n\n    def build_embeddings(self) -> Embeddings:\n        return OpenAIEmbeddings(\n            tiktoken_enabled=self.tiktoken_enable,\n            default_headers=self.default_headers,\n            default_query=self.default_query,\n            allowed_special=\"all\",\n            disallowed_special=\"all\",\n            chunk_size=self.chunk_size,\n            deployment=self.deployment,\n            embedding_ctx_length=self.embedding_ctx_length,\n            max_retries=self.max_retries,\n            model=self.model,\n            model_kwargs=self.model_kwargs,\n            base_url=self.openai_api_base,\n            api_key=self.openai_api_key,\n            openai_api_type=self.openai_api_type,\n            api_version=self.openai_api_version,\n            organization=self.openai_organization,\n            openai_proxy=self.openai_proxy,\n            timeout=self.request_timeout or None,\n            show_progress_bar=self.show_progress_bar,\n            skip_empty=self.skip_empty,\n            tiktoken_model_name=self.tiktoken_model_name,\n        )\n"
+                            },
+                            "default_headers": {
+                                "advanced": true,
+                                "display_name": "Default Headers",
+                                "dynamic": false,
+                                "info": "Default headers to use for the API request.",
+                                "list": false,
+                                "name": "default_headers",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "dict",
+                                "value": {}
+                            },
+                            "default_query": {
+                                "advanced": true,
+                                "display_name": "Default Query",
+                                "dynamic": false,
+                                "info": "Default query parameters to use for the API request.",
+                                "list": false,
+                                "name": "default_query",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "dict",
+                                "value": {}
+                            },
+                            "deployment": {
+                                "advanced": true,
+                                "display_name": "Deployment",
+                                "dynamic": false,
+                                "info": "",
+                                "input_types": [
+                                    "Message",
+                                    "str"
+                                ],
+                                "list": false,
+                                "load_from_db": false,
+                                "name": "deployment",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": ""
+                            },
+                            "embedding_ctx_length": {
+                                "advanced": true,
+                                "display_name": "Embedding Context Length",
+                                "dynamic": false,
+                                "info": "",
+                                "list": false,
+                                "name": "embedding_ctx_length",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "int",
+                                "value": 1536
+                            },
+                            "max_retries": {
+                                "advanced": true,
+                                "display_name": "Max Retries",
+                                "dynamic": false,
+                                "info": "",
+                                "list": false,
+                                "name": "max_retries",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "int",
+                                "value": 3
+                            },
+                            "model": {
+                                "advanced": false,
+                                "display_name": "Model",
+                                "dynamic": false,
+                                "info": "",
+                                "name": "model",
+                                "options": [
+                                    "text-embedding-3-small",
+                                    "text-embedding-3-large",
+                                    "text-embedding-ada-002"
+                                ],
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": "text-embedding-3-small"
+                            },
+                            "model_kwargs": {
+                                "advanced": true,
+                                "display_name": "Model Kwargs",
+                                "dynamic": false,
+                                "info": "",
+                                "list": false,
+                                "name": "model_kwargs",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "dict",
+                                "value": {}
+                            },
+                            "openai_api_base": {
+                                "advanced": true,
+                                "display_name": "OpenAI API Base",
+                                "dynamic": false,
+                                "info": "",
+                                "input_types": [],
+                                "load_from_db": true,
+                                "name": "openai_api_base",
+                                "password": true,
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": ""
+                            },
+                            "openai_api_key": {
+                                "advanced": false,
+                                "display_name": "OpenAI API Key",
+                                "dynamic": false,
+                                "info": "",
+                                "input_types": [],
+                                "load_from_db": false,
+                                "name": "openai_api_key",
+                                "password": true,
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": ""
+                            },
+                            "openai_api_type": {
+                                "advanced": true,
+                                "display_name": "OpenAI API Type",
+                                "dynamic": false,
+                                "info": "",
+                                "input_types": [],
+                                "load_from_db": true,
+                                "name": "openai_api_type",
+                                "password": true,
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": ""
+                            },
+                            "openai_api_version": {
+                                "advanced": true,
+                                "display_name": "OpenAI API Version",
+                                "dynamic": false,
+                                "info": "",
+                                "input_types": [
+                                    "Message",
+                                    "str"
+                                ],
+                                "list": false,
+                                "load_from_db": false,
+                                "name": "openai_api_version",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": ""
+                            },
+                            "openai_organization": {
+                                "advanced": true,
+                                "display_name": "OpenAI Organization",
+                                "dynamic": false,
+                                "info": "",
+                                "input_types": [
+                                    "Message",
+                                    "str"
+                                ],
+                                "list": false,
+                                "load_from_db": false,
+                                "name": "openai_organization",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": ""
+                            },
+                            "openai_proxy": {
+                                "advanced": true,
+                                "display_name": "OpenAI Proxy",
+                                "dynamic": false,
+                                "info": "",
+                                "input_types": [
+                                    "Message",
+                                    "str"
+                                ],
+                                "list": false,
+                                "load_from_db": false,
+                                "name": "openai_proxy",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": ""
+                            },
+                            "request_timeout": {
+                                "advanced": true,
+                                "display_name": "Request Timeout",
+                                "dynamic": false,
+                                "info": "",
+                                "list": false,
+                                "name": "request_timeout",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "float",
+                                "value": ""
+                            },
+                            "show_progress_bar": {
+                                "advanced": true,
+                                "display_name": "Show Progress Bar",
+                                "dynamic": false,
+                                "info": "",
+                                "list": false,
+                                "name": "show_progress_bar",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "bool",
+                                "value": false
+                            },
+                            "skip_empty": {
+                                "advanced": true,
+                                "display_name": "Skip Empty",
+                                "dynamic": false,
+                                "info": "",
+                                "list": false,
+                                "name": "skip_empty",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "bool",
+                                "value": false
+                            },
+                            "tiktoken_enable": {
+                                "advanced": true,
+                                "display_name": "TikToken Enable",
+                                "dynamic": false,
+                                "info": "If False, you must have transformers installed.",
+                                "list": false,
+                                "name": "tiktoken_enable",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "bool",
+                                "value": true
+                            },
+                            "tiktoken_model_name": {
+                                "advanced": true,
+                                "display_name": "TikToken Model Name",
+                                "dynamic": false,
+                                "info": "",
+                                "input_types": [
+                                    "Message",
+                                    "str"
+                                ],
+                                "list": false,
+                                "load_from_db": false,
+                                "name": "tiktoken_model_name",
+                                "placeholder": "",
+                                "required": false,
+                                "show": true,
+                                "title_case": false,
+                                "type": "str",
+                                "value": ""
+                            }
+                        }
+                    },
+                    "type": "OpenAIEmbeddings"
+                },
+                "selected": true,
+                "width": 384,
+                "height": 395,
+                "positionAbsolute": {
+                    "x": 1992.590633037642,
+                    "y": 1850.2707576021312
+                },
+                "dragging": true
+            }
+        ],
+        "edges": [
+            {
+                "className": "",
+                "data": {
+                    "sourceHandle": {
+                        "dataType": "ChatInput",
+                        "id": "ChatInput-8ZRjI",
+                        "name": "message",
+                        "output_types": [
+                            "Message"
+                        ]
+                    },
+                    "targetHandle": {
+                        "fieldName": "search_input",
+                        "id": "AstraDB-p6135",
+                        "inputTypes": [
+                            "Message",
+                            "str"
+                        ],
+                        "type": "str"
+                    }
+                },
+                "id": "reactflow__edge-ChatInput-8ZRjI{œdataTypeœ:œChatInputœ,œidœ:œChatInput-8ZRjIœ,œnameœ:œmessageœ,œoutput_typesœ:[œMessageœ]}-AstraDB-p6135{œfieldNameœ:œsearch_inputœ,œidœ:œAstraDB-p6135œ,œinputTypesœ:[œMessageœ,œstrœ],œtypeœ:œstrœ}",
+                "selected": false,
+                "source": "ChatInput-8ZRjI",
+                "sourceHandle": "{œdataTypeœ:œChatInputœ,œidœ:œChatInput-8ZRjIœ,œnameœ:œmessageœ,œoutput_typesœ:[œMessageœ]}",
+                "target": "AstraDB-p6135",
+                "targetHandle": "{œfieldNameœ:œsearch_inputœ,œidœ:œAstraDB-p6135œ,œinputTypesœ:[œMessageœ,œstrœ],œtypeœ:œstrœ}"
+            },
+            {
+                "className": "",
+                "data": {
+                    "sourceHandle": {
+                        "dataType": "OpenAIEmbeddings",
+                        "id": "OpenAIEmbeddings-hNOwh",
+                        "name": "embeddings",
+                        "output_types": [
+                            "Embeddings"
+                        ]
+                    },
+                    "targetHandle": {
+                        "fieldName": "embedding",
+                        "id": "AstraDB-p6135",
+                        "inputTypes": [
+                            "Embeddings"
+                        ],
+                        "type": "other"
+                    }
+                },
+                "id": "reactflow__edge-OpenAIEmbeddings-hNOwh{œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-hNOwhœ,œnameœ:œembeddingsœ,œoutput_typesœ:[œEmbeddingsœ]}-AstraDB-p6135{œfieldNameœ:œembeddingœ,œidœ:œAstraDB-p6135œ,œinputTypesœ:[œEmbeddingsœ],œtypeœ:œotherœ}",
+                "selected": false,
+                "source": "OpenAIEmbeddings-hNOwh",
+                "sourceHandle": "{œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-hNOwhœ,œnameœ:œembeddingsœ,œoutput_typesœ:[œEmbeddingsœ]}",
+                "target": "AstraDB-p6135",
+                "targetHandle": "{œfieldNameœ:œembeddingœ,œidœ:œAstraDB-p6135œ,œinputTypesœ:[œEmbeddingsœ],œtypeœ:œotherœ}"
+            },
+            {
+                "className": "",
+                "data": {
+                    "sourceHandle": {
+                        "dataType": "AstraDB",
+                        "id": "AstraDB-p6135",
+                        "name": "search_results",
+                        "output_types": [
+                            "Data"
+                        ]
+                    },
+                    "targetHandle": {
+                        "fieldName": "data",
+                        "id": "ParseData-9DrmC",
+                        "inputTypes": [
+                            "Data"
+                        ],
+                        "type": "other"
+                    }
+                },
+                "id": "reactflow__edge-AstraDB-p6135{œdataTypeœ:œAstraDBœ,œidœ:œAstraDB-p6135œ,œnameœ:œsearch_resultsœ,œoutput_typesœ:[œDataœ]}-ParseData-9DrmC{œfieldNameœ:œdataœ,œidœ:œParseData-9DrmCœ,œinputTypesœ:[œDataœ],œtypeœ:œotherœ}",
+                "selected": false,
+                "source": "AstraDB-p6135",
+                "sourceHandle": "{œdataTypeœ:œAstraDBœ,œidœ:œAstraDB-p6135œ,œnameœ:œsearch_resultsœ,œoutput_typesœ:[œDataœ]}",
+                "target": "ParseData-9DrmC",
+                "targetHandle": "{œfieldNameœ:œdataœ,œidœ:œParseData-9DrmCœ,œinputTypesœ:[œDataœ],œtypeœ:œotherœ}"
+            },
+            {
+                "className": "",
+                "data": {
+                    "sourceHandle": {
+                        "dataType": "ChatInput",
+                        "id": "ChatInput-8ZRjI",
+                        "name": "message",
+                        "output_types": [
+                            "Message"
+                        ]
+                    },
+                    "targetHandle": {
+                        "fieldName": "question",
+                        "id": "Prompt-EEXgw",
+                        "inputTypes": [
+                            "Message",
+                            "Text"
+                        ],
+                        "type": "str"
+                    }
+                },
+                "id": "reactflow__edge-ChatInput-8ZRjI{œdataTypeœ:œChatInputœ,œidœ:œChatInput-8ZRjIœ,œnameœ:œmessageœ,œoutput_typesœ:[œMessageœ]}-Prompt-EEXgw{œfieldNameœ:œquestionœ,œidœ:œPrompt-EEXgwœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}",
+                "source": "ChatInput-8ZRjI",
+                "sourceHandle": "{œdataTypeœ:œChatInputœ,œidœ:œChatInput-8ZRjIœ,œnameœ:œmessageœ,œoutput_typesœ:[œMessageœ]}",
+                "target": "Prompt-EEXgw",
+                "targetHandle": "{œfieldNameœ:œquestionœ,œidœ:œPrompt-EEXgwœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}"
+            },
+            {
+                "className": "",
+                "data": {
+                    "sourceHandle": {
+                        "dataType": "File",
+                        "id": "File-p2YBf",
+                        "name": "data",
+                        "output_types": [
+                            "Data"
+                        ]
+                    },
+                    "targetHandle": {
+                        "fieldName": "data_inputs",
+                        "id": "SplitText-qI0jS",
+                        "inputTypes": [
+                            "Data"
+                        ],
+                        "type": "other"
+                    }
+                },
+                "id": "reactflow__edge-File-p2YBf{œdataTypeœ:œFileœ,œidœ:œFile-p2YBfœ,œnameœ:œdataœ,œoutput_typesœ:[œDataœ]}-SplitText-qI0jS{œfieldNameœ:œdata_inputsœ,œidœ:œSplitText-qI0jSœ,œinputTypesœ:[œDataœ],œtypeœ:œotherœ}",
+                "source": "File-p2YBf",
+                "sourceHandle": "{œdataTypeœ:œFileœ,œidœ:œFile-p2YBfœ,œnameœ:œdataœ,œoutput_typesœ:[œDataœ]}",
+                "target": "SplitText-qI0jS",
+                "targetHandle": "{œfieldNameœ:œdata_inputsœ,œidœ:œSplitText-qI0jSœ,œinputTypesœ:[œDataœ],œtypeœ:œotherœ}",
+                "selected": false
+            },
+            {
+                "className": "",
+                "data": {
+                    "sourceHandle": {
+                        "dataType": "ParseData",
+                        "id": "ParseData-9DrmC",
+                        "name": "text",
+                        "output_types": [
+                            "Message"
+                        ]
+                    },
+                    "targetHandle": {
+                        "fieldName": "context",
+                        "id": "Prompt-EEXgw",
+                        "inputTypes": [
+                            "Message",
+                            "Text"
+                        ],
+                        "type": "str"
+                    }
+                },
+                "id": "reactflow__edge-ParseData-9DrmC{œdataTypeœ:œParseDataœ,œidœ:œParseData-9DrmCœ,œnameœ:œtextœ,œoutput_typesœ:[œMessageœ]}-Prompt-EEXgw{œfieldNameœ:œcontextœ,œidœ:œPrompt-EEXgwœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}",
+                "source": "ParseData-9DrmC",
+                "sourceHandle": "{œdataTypeœ:œParseDataœ,œidœ:œParseData-9DrmCœ,œnameœ:œtextœ,œoutput_typesœ:[œMessageœ]}",
+                "target": "Prompt-EEXgw",
+                "targetHandle": "{œfieldNameœ:œcontextœ,œidœ:œPrompt-EEXgwœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}"
+            },
+            {
+                "className": "",
+                "data": {
+                    "sourceHandle": {
+                        "dataType": "Prompt",
+                        "id": "Prompt-EEXgw",
+                        "name": "prompt",
+                        "output_types": [
+                            "Message"
+                        ]
+                    },
+                    "targetHandle": {
+                        "fieldName": "input_value",
+                        "id": "OpenAIModel-euVNy",
+                        "inputTypes": [
+                            "Message"
+                        ],
+                        "type": "str"
+                    }
+                },
+                "id": "reactflow__edge-Prompt-EEXgw{œdataTypeœ:œPromptœ,œidœ:œPrompt-EEXgwœ,œnameœ:œpromptœ,œoutput_typesœ:[œMessageœ]}-OpenAIModel-euVNy{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-euVNyœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
+                "source": "Prompt-EEXgw",
+                "sourceHandle": "{œdataTypeœ:œPromptœ,œidœ:œPrompt-EEXgwœ,œnameœ:œpromptœ,œoutput_typesœ:[œMessageœ]}",
+                "target": "OpenAIModel-euVNy",
+                "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-euVNyœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}"
+            },
+            {
+                "className": "",
+                "data": {
+                    "sourceHandle": {
+                        "dataType": "OpenAIModel",
+                        "id": "OpenAIModel-euVNy",
+                        "name": "text_output",
+                        "output_types": [
+                            "Message"
+                        ]
+                    },
+                    "targetHandle": {
+                        "fieldName": "input_value",
+                        "id": "ChatOutput-1eddV",
+                        "inputTypes": [
+                            "Message"
+                        ],
+                        "type": "str"
+                    }
+                },
+                "id": "reactflow__edge-OpenAIModel-euVNy{œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-euVNyœ,œnameœ:œtext_outputœ,œoutput_typesœ:[œMessageœ]}-ChatOutput-1eddV{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-1eddVœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
+                "source": "OpenAIModel-euVNy",
+                "sourceHandle": "{œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-euVNyœ,œnameœ:œtext_outputœ,œoutput_typesœ:[œMessageœ]}",
+                "target": "ChatOutput-1eddV",
+                "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-1eddVœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}"
+            },
+            {
+                "className": "",
+                "data": {
+                    "sourceHandle": {
+                        "dataType": "SplitText",
+                        "id": "SplitText-qI0jS",
+                        "name": "chunks",
+                        "output_types": [
+                            "Data"
+                        ]
+                    },
+                    "targetHandle": {
+                        "fieldName": "vector_store_inputs",
+                        "id": "AstraDB-AX2Xz",
+                        "inputTypes": [
+                            "Document",
+                            "Data"
+                        ],
+                        "type": "other"
+                    }
+                },
+                "source": "SplitText-qI0jS",
+                "sourceHandle": "{œdataTypeœ:œSplitTextœ,œidœ:œSplitText-qI0jSœ,œnameœ:œchunksœ,œoutput_typesœ:[œDataœ]}",
+                "target": "AstraDB-AX2Xz",
+                "targetHandle": "{œfieldNameœ:œvector_store_inputsœ,œidœ:œAstraDB-AX2Xzœ,œinputTypesœ:[œDocumentœ,œDataœ],œtypeœ:œotherœ}",
+                "id": "reactflow__edge-SplitText-qI0jS{œdataTypeœ:œSplitTextœ,œidœ:œSplitText-qI0jSœ,œnameœ:œchunksœ,œoutput_typesœ:[œDataœ]}-AstraDB-AX2Xz{œfieldNameœ:œvector_store_inputsœ,œidœ:œAstraDB-AX2Xzœ,œinputTypesœ:[œDocumentœ,œDataœ],œtypeœ:œotherœ}",
+                "selected": false
+            },
+            {
+                "source": "OpenAIEmbeddings-PQc6x",
+                "sourceHandle": "{œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-PQc6xœ,œnameœ:œembeddingsœ,œoutput_typesœ:[œEmbeddingsœ]}",
+                "target": "AstraDB-AX2Xz",
+                "targetHandle": "{œfieldNameœ:œembeddingœ,œidœ:œAstraDB-AX2Xzœ,œinputTypesœ:[œEmbeddingsœ],œtypeœ:œotherœ}",
+                "data": {
+                    "targetHandle": {
+                        "fieldName": "embedding",
+                        "id": "AstraDB-AX2Xz",
+                        "inputTypes": [
+                            "Embeddings"
+                        ],
+                        "type": "other"
+                    },
+                    "sourceHandle": {
+                        "dataType": "OpenAIEmbeddings",
+                        "id": "OpenAIEmbeddings-PQc6x",
+                        "name": "embeddings",
+                        "output_types": [
+                            "Embeddings"
+                        ]
+                    }
+                },
+                "id": "reactflow__edge-OpenAIEmbeddings-PQc6x{œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-PQc6xœ,œnameœ:œembeddingsœ,œoutput_typesœ:[œEmbeddingsœ]}-AstraDB-AX2Xz{œfieldNameœ:œembeddingœ,œidœ:œAstraDB-AX2Xzœ,œinputTypesœ:[œEmbeddingsœ],œtypeœ:œotherœ}",
+                "selected": false
+            }
+        ],
+        "viewport": {
+            "x": -173.2239134973895,
+            "y": 90.45548562382544,
+            "zoom": 0.32281188532359306
+        }
+    },
+    "description": "Visit https://docs.langflow.org/tutorials/rag-with-astradb for a detailed guide of this project.\nThis project give you both Ingestion and RAG in a single file. You'll need to visit https://astra.datastax.com/ to create an Astra DB instance, your Token and grab an API Endpoint.\nRunning this project requires you to add a file in the Files component, then define a Collection Name and click on the Play icon on the Astra DB component. \n\nAfter the ingestion ends you are ready to click on the Run button at the lower left corner and start asking questions about your data.",
+    "name": "Vector Store RAG",
+    "last_tested_version": "1.0.0rc1",
+    "endpoint_name": null,
+    "is_component": false
+}
\ No newline at end of file
diff --git a/src/backend/base/langflow/initial_setup/starter_projects/VectorStore-RAG-Flows.json b/src/backend/base/langflow/initial_setup/starter_projects/VectorStore-RAG-Flows.json
new file mode 100644
index 00000000000..aa800d76f28
--- /dev/null
+++ b/src/backend/base/langflow/initial_setup/starter_projects/VectorStore-RAG-Flows.json
@@ -0,0 +1,3278 @@
+{
+  "data": {
+    "edges": [
+      {
+        "className": "",
+        "data": {
+          "sourceHandle": {
+            "dataType": "Prompt",
+            "id": "Prompt-VecUe",
+            "name": "prompt",
+            "output_types": [
+              "Message"
+            ]
+          },
+          "targetHandle": {
+            "fieldName": "input_value",
+            "id": "OpenAIModel-PKrw7",
+            "inputTypes": [
+              "Message"
+            ],
+            "type": "str"
+          }
+        },
+        "id": "reactflow__edge-Prompt-VecUe{œdataTypeœ:œPromptœ,œidœ:œPrompt-VecUeœ,œnameœ:œpromptœ,œoutput_typesœ:[œMessageœ]}-OpenAIModel-PKrw7{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-PKrw7œ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
+        "selected": false,
+        "source": "Prompt-VecUe",
+        "sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-VecUeœ, œnameœ: œpromptœ, œoutput_typesœ: [œMessageœ]}",
+        "style": {
+          "stroke": "#555"
+        },
+        "target": "OpenAIModel-PKrw7",
+        "targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œOpenAIModel-PKrw7œ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
+      },
+      {
+        "className": "",
+        "data": {
+          "sourceHandle": {
+            "dataType": "OpenAIModel",
+            "id": "OpenAIModel-PKrw7",
+            "name": "text_output",
+            "output_types": [
+              "Message"
+            ]
+          },
+          "targetHandle": {
+            "fieldName": "input_value",
+            "id": "ChatOutput-nUD9B",
+            "inputTypes": [
+              "Message",
+              "str"
+            ],
+            "type": "str"
+          }
+        },
+        "id": "reactflow__edge-OpenAIModel-PKrw7{œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-PKrw7œ,œnameœ:œtext_outputœ,œoutput_typesœ:[œMessageœ]}-ChatOutput-nUD9B{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-nUD9Bœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
+        "selected": false,
+        "source": "OpenAIModel-PKrw7",
+        "sourceHandle": "{œdataTypeœ: œOpenAIModelœ, œidœ: œOpenAIModel-PKrw7œ, œnameœ: œtext_outputœ, œoutput_typesœ: [œMessageœ]}",
+        "style": {
+          "stroke": "#555"
+        },
+        "target": "ChatOutput-nUD9B",
+        "targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œChatOutput-nUD9Bœ, œinputTypesœ: [œMessageœ, œstrœ], œtypeœ: œstrœ}"
+      },
+      {
+        "className": "",
+        "data": {
+          "sourceHandle": {
+            "dataType": "File",
+            "id": "File-w2zxA",
+            "name": "data",
+            "output_types": [
+              "Data"
+            ]
+          },
+          "targetHandle": {
+            "fieldName": "data_input",
+            "id": "RecursiveCharacterTextSplitter-CrApG",
+            "inputTypes": [
+              "Document",
+              "Data"
+            ],
+            "type": "other"
+          }
+        },
+        "id": "reactflow__edge-File-w2zxA{œdataTypeœ:œFileœ,œidœ:œFile-w2zxAœ,œnameœ:œdataœ,œoutput_typesœ:[œDataœ]}-RecursiveCharacterTextSplitter-CrApG{œfieldNameœ:œdata_inputœ,œidœ:œRecursiveCharacterTextSplitter-CrApGœ,œinputTypesœ:[œDocumentœ,œDataœ],œtypeœ:œotherœ}",
+        "source": "File-w2zxA",
+        "sourceHandle": "{œdataTypeœ: œFileœ, œidœ: œFile-w2zxAœ, œnameœ: œdataœ, œoutput_typesœ: [œDataœ]}",
+        "target": "RecursiveCharacterTextSplitter-CrApG",
+        "targetHandle": "{œfieldNameœ: œdata_inputœ, œidœ: œRecursiveCharacterTextSplitter-CrApGœ, œinputTypesœ: [œDocumentœ, œDataœ], œtypeœ: œotherœ}"
+      },
+      {
+        "className": "",
+        "data": {
+          "sourceHandle": {
+            "dataType": "RecursiveCharacterTextSplitter",
+            "id": "RecursiveCharacterTextSplitter-CrApG",
+            "name": "data",
+            "output_types": [
+              "Data"
+            ]
+          },
+          "targetHandle": {
+            "fieldName": "vector_store_inputs",
+            "id": "AstraDB-rXo8b",
+            "inputTypes": [
+              "Data"
+            ],
+            "type": "other"
+          }
+        },
+        "id": "reactflow__edge-RecursiveCharacterTextSplitter-CrApG{œdataTypeœ:œRecursiveCharacterTextSplitterœ,œidœ:œRecursiveCharacterTextSplitter-CrApGœ,œnameœ:œdataœ,œoutput_typesœ:[œDataœ]}-AstraDB-rXo8b{œfieldNameœ:œvector_store_inputsœ,œidœ:œAstraDB-rXo8bœ,œinputTypesœ:[œDocumentœ,œDataœ],œtypeœ:œotherœ}",
+        "source": "RecursiveCharacterTextSplitter-CrApG",
+        "sourceHandle": "{œdataTypeœ: œRecursiveCharacterTextSplitterœ, œidœ: œRecursiveCharacterTextSplitter-CrApGœ, œnameœ: œdataœ, œoutput_typesœ: [œDataœ]}",
+        "target": "AstraDB-rXo8b",
+        "targetHandle": "{œfieldNameœ: œvector_store_inputsœ, œidœ: œAstraDB-rXo8bœ, œinputTypesœ: [œDataœ], œtypeœ: œotherœ}"
+      },
+      {
+        "className": "",
+        "data": {
+          "sourceHandle": {
+            "dataType": "OpenAIEmbeddings",
+            "id": "OpenAIEmbeddings-PCoh9",
+            "name": "embeddings",
+            "output_types": [
+              "Embeddings"
+            ]
+          },
+          "targetHandle": {
+            "fieldName": "embedding",
+            "id": "AstraDB-rXo8b",
+            "inputTypes": [
+              "Embeddings",
+              "dict"
+            ],
+            "type": "other"
+          }
+        },
+        "id": "reactflow__edge-OpenAIEmbeddings-PCoh9{œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-PCoh9œ,œnameœ:œembeddingsœ,œoutput_typesœ:[œEmbeddingsœ]}-AstraDB-rXo8b{œfieldNameœ:œembeddingœ,œidœ:œAstraDB-rXo8bœ,œinputTypesœ:[œEmbeddingsœ],œtypeœ:œotherœ}",
+        "source": "OpenAIEmbeddings-PCoh9",
+        "sourceHandle": "{œdataTypeœ: œOpenAIEmbeddingsœ, œidœ: œOpenAIEmbeddings-PCoh9œ, œnameœ: œembeddingsœ, œoutput_typesœ: [œEmbeddingsœ]}",
+        "target": "AstraDB-rXo8b",
+        "targetHandle": "{œfieldNameœ: œembeddingœ, œidœ: œAstraDB-rXo8bœ, œinputTypesœ: [œEmbeddingsœ, œdictœ], œtypeœ: œotherœ}"
+      },
+      {
+        "className": "",
+        "data": {
+          "sourceHandle": {
+            "dataType": "ChatInput",
+            "id": "ChatInput-sn9b4",
+            "name": "message",
+            "output_types": [
+              "Message"
+            ]
+          },
+          "targetHandle": {
+            "fieldName": "search_input",
+            "id": "AstraDB-61WgV",
+            "inputTypes": [
+              "Message",
+              "str"
+            ],
+            "type": "str"
+          }
+        },
+        "id": "reactflow__edge-ChatInput-sn9b4{œdataTypeœ:œChatInputœ,œidœ:œChatInput-sn9b4œ,œnameœ:œmessageœ,œoutput_typesœ:[œMessageœ]}-AstraDB-61WgV{œfieldNameœ:œsearch_inputœ,œidœ:œAstraDB-61WgVœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
+        "selected": false,
+        "source": "ChatInput-sn9b4",
+        "sourceHandle": "{œdataTypeœ: œChatInputœ, œidœ: œChatInput-sn9b4œ, œnameœ: œmessageœ, œoutput_typesœ: [œMessageœ]}",
+        "target": "AstraDB-61WgV",
+        "targetHandle": "{œfieldNameœ: œsearch_inputœ, œidœ: œAstraDB-61WgVœ, œinputTypesœ: [œMessageœ, œstrœ], œtypeœ: œstrœ}"
+      },
+      {
+        "className": "",
+        "data": {
+          "sourceHandle": {
+            "dataType": "OpenAIEmbeddings",
+            "id": "OpenAIEmbeddings-HsV7O",
+            "name": "embeddings",
+            "output_types": [
+              "Embeddings"
+            ]
+          },
+          "targetHandle": {
+            "fieldName": "embedding",
+            "id": "AstraDB-61WgV",
+            "inputTypes": [
+              "Embeddings",
+              "dict"
+            ],
+            "type": "other"
+          }
+        },
+        "id": "reactflow__edge-OpenAIEmbeddings-HsV7O{œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-HsV7Oœ,œnameœ:œembeddingsœ,œoutput_typesœ:[œEmbeddingsœ]}-AstraDB-61WgV{œfieldNameœ:œembeddingœ,œidœ:œAstraDB-61WgVœ,œinputTypesœ:[œEmbeddingsœ],œtypeœ:œotherœ}",
+        "selected": false,
+        "source": "OpenAIEmbeddings-HsV7O",
+        "sourceHandle": "{œdataTypeœ: œOpenAIEmbeddingsœ, œidœ: œOpenAIEmbeddings-HsV7Oœ, œnameœ: œembeddingsœ, œoutput_typesœ: [œEmbeddingsœ]}",
+        "target": "AstraDB-61WgV",
+        "targetHandle": "{œfieldNameœ: œembeddingœ, œidœ: œAstraDB-61WgVœ, œinputTypesœ: [œEmbeddingsœ, œdictœ], œtypeœ: œotherœ}"
+      },
+      {
+        "className": "",
+        "data": {
+          "sourceHandle": {
+            "dataType": "AstraDB",
+            "id": "AstraDB-61WgV",
+            "name": "search_results",
+            "output_types": [
+              "Data"
+            ]
+          },
+          "targetHandle": {
+            "fieldName": "data",
+            "id": "ParseData-DXlFW",
+            "inputTypes": [
+              "Data"
+            ],
+            "type": "other"
+          }
+        },
+        "id": "reactflow__edge-AstraDB-61WgV{œdataTypeœ:œAstraDBœ,œidœ:œAstraDB-61WgVœ,œnameœ:œsearch_resultsœ,œoutput_typesœ:[œDataœ]}-ParseData-DXlFW{œfieldNameœ:œdataœ,œidœ:œParseData-DXlFWœ,œinputTypesœ:[œDataœ],œtypeœ:œotherœ}",
+        "selected": false,
+        "source": "AstraDB-61WgV",
+        "sourceHandle": "{œdataTypeœ: œAstraDBœ, œidœ: œAstraDB-61WgVœ, œnameœ: œsearch_resultsœ, œoutput_typesœ: [œDataœ]}",
+        "target": "ParseData-DXlFW",
+        "targetHandle": "{œfieldNameœ: œdataœ, œidœ: œParseData-DXlFWœ, œinputTypesœ: [œDataœ], œtypeœ: œotherœ}"
+      },
+      {
+        "className": "",
+        "data": {
+          "sourceHandle": {
+            "dataType": "ParseData",
+            "id": "ParseData-DXlFW",
+            "name": "text",
+            "output_types": [
+              "Message"
+            ]
+          },
+          "targetHandle": {
+            "fieldName": "input_value",
+            "id": "TextOutput-rT1Fj",
+            "inputTypes": [
+              "Message"
+            ],
+            "type": "str"
+          }
+        },
+        "id": "reactflow__edge-ParseData-DXlFW{œdataTypeœ:œParseDataœ,œidœ:œParseData-DXlFWœ,œnameœ:œtextœ,œoutput_typesœ:[œMessageœ]}-TextOutput-rT1Fj{œfieldNameœ:œinput_valueœ,œidœ:œTextOutput-rT1Fjœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
+        "source": "ParseData-DXlFW",
+        "sourceHandle": "{œdataTypeœ: œParseDataœ, œidœ: œParseData-DXlFWœ, œnameœ: œtextœ, œoutput_typesœ: [œMessageœ]}",
+        "target": "TextOutput-rT1Fj",
+        "targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œTextOutput-rT1Fjœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
+      },
+      {
+        "className": "",
+        "data": {
+          "sourceHandle": {
+            "dataType": "TextOutput",
+            "id": "TextOutput-rT1Fj",
+            "name": "text",
+            "output_types": [
+              "Message"
+            ]
+          },
+          "targetHandle": {
+            "fieldName": "context",
+            "id": "Prompt-VecUe",
+            "inputTypes": [
+              "Message",
+              "Text"
+            ],
+            "type": "str"
+          }
+        },
+        "id": "reactflow__edge-TextOutput-rT1Fj{œdataTypeœ:œTextOutputœ,œidœ:œTextOutput-rT1Fjœ,œnameœ:œtextœ,œoutput_typesœ:[œMessageœ]}-Prompt-VecUe{œfieldNameœ:œcontextœ,œidœ:œPrompt-VecUeœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}",
+        "source": "TextOutput-rT1Fj",
+        "sourceHandle": "{œdataTypeœ: œTextOutputœ, œidœ: œTextOutput-rT1Fjœ, œnameœ: œtextœ, œoutput_typesœ: [œMessageœ]}",
+        "target": "Prompt-VecUe",
+        "targetHandle": "{œfieldNameœ: œcontextœ, œidœ: œPrompt-VecUeœ, œinputTypesœ: [œMessageœ, œTextœ], œtypeœ: œstrœ}"
+      },
+      {
+        "className": "",
+        "data": {
+          "sourceHandle": {
+            "dataType": "ChatInput",
+            "id": "ChatInput-sn9b4",
+            "name": "message",
+            "output_types": [
+              "Message"
+            ]
+          },
+          "targetHandle": {
+            "fieldName": "question",
+            "id": "Prompt-VecUe",
+            "inputTypes": [
+              "Message",
+              "Text"
+            ],
+            "type": "str"
+          }
+        },
+        "id": "reactflow__edge-ChatInput-sn9b4{œdataTypeœ:œChatInputœ,œidœ:œChatInput-sn9b4œ,œnameœ:œmessageœ,œoutput_typesœ:[œMessageœ]}-Prompt-VecUe{œfieldNameœ:œquestionœ,œidœ:œPrompt-VecUeœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}",
+        "source": "ChatInput-sn9b4",
+        "sourceHandle": "{œdataTypeœ: œChatInputœ, œidœ: œChatInput-sn9b4œ, œnameœ: œmessageœ, œoutput_typesœ: [œMessageœ]}",
+        "target": "Prompt-VecUe",
+        "targetHandle": "{œfieldNameœ: œquestionœ, œidœ: œPrompt-VecUeœ, œinputTypesœ: [œMessageœ, œTextœ], œtypeœ: œstrœ}"
+      }
+    ],
+    "nodes": [
+      {
+        "data": {
+          "id": "ChatInput-sn9b4",
+          "node": {
+            "base_classes": [
+              "Text",
+              "str",
+              "object",
+              "Record"
+            ],
+            "beta": false,
+            "custom_fields": {
+              "input_value": null,
+              "return_record": null,
+              "sender": null,
+              "sender_name": null,
+              "session_id": null
+            },
+            "description": "Get chat inputs from the Playground.",
+            "display_name": "Chat Input",
+            "documentation": "",
+            "field_formatters": {},
+            "field_order": [],
+            "frozen": false,
+            "icon": "ChatInput",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Message",
+                "method": "message_response",
+                "name": "message",
+                "selected": "Message",
+                "types": [
+                  "Message"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "template": {
+              "_type": "Component",
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.io import DropdownInput, FileInput, Output, MessageTextInput\nfrom langflow.schema.message import Message\n\n\nclass ChatInput(ChatComponent):\n    display_name = \"Chat Input\"\n    description = \"Get chat inputs from the Playground.\"\n    icon = \"ChatInput\"\n\n    inputs = [\n        MessageTextInput(\n            name=\"input_value\",\n            display_name=\"Text\",\n            multiline=True,\n            value=\"\",\n            info=\"Message to be passed as input.\",\n        ),\n        DropdownInput(\n            name=\"sender\",\n            display_name=\"Sender Type\",\n            options=[\"Machine\", \"User\"],\n            value=\"User\",\n            info=\"Type of sender.\",\n            advanced=True,\n        ),\n        MessageTextInput(\n            name=\"sender_name\",\n            type=str,\n            display_name=\"Sender Name\",\n            info=\"Name of the sender.\",\n            value=\"User\",\n            advanced=True,\n        ),\n        MessageTextInput(\n            name=\"session_id\", type=str, display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n        ),\n        FileInput(\n            name=\"files\",\n            display_name=\"Files\",\n            file_types=TEXT_FILE_TYPES + IMG_FILE_TYPES,\n            info=\"Files to be sent with the message.\",\n            advanced=True,\n            is_list=True,\n        ),\n    ]\n    outputs = [\n        Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n    ]\n\n    def message_response(self) -> Message:\n        message = Message(\n            text=self.input_value,\n            sender=self.sender,\n            sender_name=self.sender_name,\n            session_id=self.session_id,\n            files=self.files,\n        )\n        if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n            self.store_message(message)\n            self.message.value = message\n\n        self.status = message\n        return message\n"
+              },
+              "input_value": {
+                "advanced": false,
+                "display_name": "Text",
+                "dynamic": false,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "Message to be passed as input.",
+                "input_types": [
+                  "Message",
+                  "str"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "input_value",
+                "password": false,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "uau"
+              },
+              "sender": {
+                "advanced": true,
+                "display_name": "Sender Type",
+                "dynamic": false,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "Type of sender.",
+                "input_types": [
+                  "Text"
+                ],
+                "list": true,
+                "load_from_db": false,
+                "multiline": false,
+                "name": "sender",
+                "options": [
+                  "Machine",
+                  "User"
+                ],
+                "password": false,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "User"
+              },
+              "sender_name": {
+                "advanced": true,
+                "display_name": "Sender Name",
+                "dynamic": false,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "Name of the sender.",
+                "input_types": [
+                  "Message",
+                  "str"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "sender_name",
+                "password": false,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "User"
+              },
+              "session_id": {
+                "advanced": true,
+                "display_name": "Session ID",
+                "dynamic": false,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "Session ID for the message.",
+                "input_types": [
+                  "Message",
+                  "str"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "session_id",
+                "password": false,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              }
+            }
+          },
+          "type": "ChatInput"
+        },
+        "dragging": false,
+        "height": 309,
+        "id": "ChatInput-sn9b4",
+        "position": {
+          "x": 702.4571951501161,
+          "y": 119.7726926425525
+        },
+        "positionAbsolute": {
+          "x": 702.4571951501161,
+          "y": 119.7726926425525
+        },
+        "selected": false,
+        "type": "genericNode",
+        "width": 384
+      },
+      {
+        "data": {
+          "description": "Display a text output in the Playground.",
+          "display_name": "Extracted Chunks",
+          "edited": false,
+          "id": "TextOutput-rT1Fj",
+          "node": {
+            "base_classes": [
+              "Message"
+            ],
+            "beta": false,
+            "conditional_paths": [],
+            "custom_fields": {},
+            "description": "Display a text output in the Playground.",
+            "display_name": "Extracted Chunks",
+            "documentation": "",
+            "edited": true,
+            "field_order": [
+              "input_value"
+            ],
+            "frozen": false,
+            "icon": "type",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Text",
+                "hidden": false,
+                "method": "text_response",
+                "name": "text",
+                "selected": "Message",
+                "types": [
+                  "Message"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "pinned": false,
+            "template": {
+              "_type": "Component",
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "from langflow.base.io.text import TextComponent\nfrom langflow.io import Output\nfrom langflow.io import TextInput\nfrom langflow.schema.message import Message\n\n\nclass TextOutputComponent(TextComponent):\n    display_name = \"Text Output\"\n    description = \"Display a text output in the Playground.\"\n    icon = \"type\"\n\n    inputs = [\n        MessageTextInput(\n            name=\"input_value\",\n            display_name=\"Text\",\n            info=\"Text to be passed as output.\",\n        ),\n    ]\n    outputs = [\n        Output(display_name=\"Text\", name=\"text\", method=\"text_response\"),\n    ]\n\n    def text_response(self) -> Message:\n        message = Message(\n            text=self.input_value,\n        )\n        self.status = self.input_value\n        return message\n"
+              },
+              "input_value": {
+                "advanced": false,
+                "display_name": "Text",
+                "dynamic": false,
+                "info": "Text to be passed as output.",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "input_value",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              }
+            }
+          },
+          "type": "TextOutput"
+        },
+        "dragging": false,
+        "height": 309,
+        "id": "TextOutput-rT1Fj",
+        "position": {
+          "x": 2439.792450398153,
+          "y": 661.149562774499
+        },
+        "positionAbsolute": {
+          "x": 2439.792450398153,
+          "y": 661.149562774499
+        },
+        "selected": false,
+        "type": "genericNode",
+        "width": 384
+      },
+      {
+        "data": {
+          "id": "OpenAIEmbeddings-HsV7O",
+          "node": {
+            "base_classes": [
+              "Embeddings"
+            ],
+            "beta": false,
+            "custom_fields": {
+              "allowed_special": null,
+              "chunk_size": null,
+              "client": null,
+              "default_headers": null,
+              "default_query": null,
+              "deployment": null,
+              "disallowed_special": null,
+              "embedding_ctx_length": null,
+              "max_retries": null,
+              "model": null,
+              "model_kwargs": null,
+              "openai_api_base": null,
+              "openai_api_key": null,
+              "openai_api_type": null,
+              "openai_api_version": null,
+              "openai_organization": null,
+              "openai_proxy": null,
+              "request_timeout": null,
+              "show_progress_bar": null,
+              "skip_empty": null,
+              "tiktoken_enable": null,
+              "tiktoken_model_name": null
+            },
+            "description": "Generate embeddings using OpenAI models.",
+            "display_name": "OpenAI Embeddings",
+            "documentation": "",
+            "field_formatters": {},
+            "field_order": [],
+            "frozen": false,
+            "icon": "OpenAI",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Embeddings",
+                "method": "build_embeddings",
+                "name": "embeddings",
+                "selected": "Embeddings",
+                "types": [
+                  "Embeddings"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "template": {
+              "_type": "Component",
+              "chunk_size": {
+                "advanced": true,
+                "display_name": "Chunk Size",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "chunk_size",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": 1000
+              },
+              "client": {
+                "advanced": true,
+                "display_name": "Client",
+                "dynamic": false,
+                "info": "",
+                "input_types": [
+                  "Message",
+                  "str"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "client",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "from langchain_openai.embeddings.base import OpenAIEmbeddings\n\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.field_typing import Embeddings\nfrom langflow.io import BoolInput, DictInput, DropdownInput, FloatInput, IntInput, Output, SecretStrInput, MessageTextInput\n\n\nclass OpenAIEmbeddingsComponent(LCModelComponent):\n    display_name = \"OpenAI Embeddings\"\n    description = \"Generate embeddings using OpenAI models.\"\n    icon = \"OpenAI\"\n    inputs = [\n        DictInput(\n            name=\"default_headers\",\n            display_name=\"Default Headers\",\n            advanced=True,\n            info=\"Default headers to use for the API request.\",\n        ),\n        DictInput(\n            name=\"default_query\",\n            display_name=\"Default Query\",\n            advanced=True,\n            info=\"Default query parameters to use for the API request.\",\n        ),\n        IntInput(name=\"chunk_size\", display_name=\"Chunk Size\", advanced=True, value=1000),\n        MessageTextInput(name=\"client\", display_name=\"Client\", advanced=True),\n        MessageTextInput(name=\"deployment\", display_name=\"Deployment\", advanced=True),\n        IntInput(name=\"embedding_ctx_length\", display_name=\"Embedding Context Length\", advanced=True, value=1536),\n        IntInput(name=\"max_retries\", display_name=\"Max Retries\", value=3, advanced=True),\n        DropdownInput(\n            name=\"model\",\n            display_name=\"Model\",\n            advanced=False,\n            options=[\n                \"text-embedding-3-small\",\n                \"text-embedding-3-large\",\n                \"text-embedding-ada-002\",\n            ],\n            value=\"text-embedding-3-small\",\n        ),\n        DictInput(name=\"model_kwargs\", display_name=\"Model Kwargs\", advanced=True),\n        SecretStrInput(name=\"openai_api_base\", display_name=\"OpenAI API Base\", advanced=True),\n        SecretStrInput(name=\"openai_api_key\", display_name=\"OpenAI API Key\"),\n        SecretStrInput(name=\"openai_api_type\", display_name=\"OpenAI API Type\", advanced=True),\n        MessageTextInput(name=\"openai_api_version\", display_name=\"OpenAI API Version\", advanced=True),\n        MessageTextInput(\n            name=\"openai_organization\",\n            display_name=\"OpenAI Organization\",\n            advanced=True,\n        ),\n        MessageTextInput(name=\"openai_proxy\", display_name=\"OpenAI Proxy\", advanced=True),\n        FloatInput(name=\"request_timeout\", display_name=\"Request Timeout\", advanced=True),\n        BoolInput(name=\"show_progress_bar\", display_name=\"Show Progress Bar\", advanced=True),\n        BoolInput(name=\"skip_empty\", display_name=\"Skip Empty\", advanced=True),\n        MessageTextInput(\n            name=\"tiktoken_model_name\",\n            display_name=\"TikToken Model Name\",\n            advanced=True,\n        ),\n        BoolInput(\n            name=\"tiktoken_enable\",\n            display_name=\"TikToken Enable\",\n            advanced=True,\n            value=True,\n            info=\"If False, you must have transformers installed.\",\n        ),\n    ]\n\n    outputs = [\n        Output(display_name=\"Embeddings\", name=\"embeddings\", method=\"build_embeddings\"),\n    ]\n\n    def build_embeddings(self) -> Embeddings:\n        return OpenAIEmbeddings(\n            tiktoken_enabled=self.tiktoken_enable,\n            default_headers=self.default_headers,\n            default_query=self.default_query,\n            allowed_special=\"all\",\n            disallowed_special=\"all\",\n            chunk_size=self.chunk_size,\n            deployment=self.deployment,\n            embedding_ctx_length=self.embedding_ctx_length,\n            max_retries=self.max_retries,\n            model=self.model,\n            model_kwargs=self.model_kwargs,\n            base_url=self.openai_api_base,\n            api_key=self.openai_api_key,\n            openai_api_type=self.openai_api_type,\n            api_version=self.openai_api_version,\n            organization=self.openai_organization,\n            openai_proxy=self.openai_proxy,\n            timeout=self.request_timeout or None,\n            show_progress_bar=self.show_progress_bar,\n            skip_empty=self.skip_empty,\n            tiktoken_model_name=self.tiktoken_model_name,\n        )\n"
+              },
+              "default_headers": {
+                "advanced": true,
+                "display_name": "Default Headers",
+                "dynamic": false,
+                "info": "Default headers to use for the API request.",
+                "list": false,
+                "name": "default_headers",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "dict",
+                "value": {}
+              },
+              "default_query": {
+                "advanced": true,
+                "display_name": "Default Query",
+                "dynamic": false,
+                "info": "Default query parameters to use for the API request.",
+                "list": false,
+                "name": "default_query",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "dict",
+                "value": {}
+              },
+              "deployment": {
+                "advanced": true,
+                "display_name": "Deployment",
+                "dynamic": false,
+                "info": "",
+                "input_types": [
+                  "Message",
+                  "str"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "deployment",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "embedding_ctx_length": {
+                "advanced": true,
+                "display_name": "Embedding Context Length",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "embedding_ctx_length",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": 1536
+              },
+              "max_retries": {
+                "advanced": true,
+                "display_name": "Max Retries",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "max_retries",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": 3
+              },
+              "model": {
+                "advanced": false,
+                "display_name": "Model",
+                "dynamic": false,
+                "info": "",
+                "name": "model",
+                "options": [
+                  "text-embedding-3-small",
+                  "text-embedding-3-large",
+                  "text-embedding-ada-002"
+                ],
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "text-embedding-3-small"
+              },
+              "model_kwargs": {
+                "advanced": true,
+                "display_name": "Model Kwargs",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "model_kwargs",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "dict",
+                "value": {}
+              },
+              "openai_api_base": {
+                "advanced": true,
+                "display_name": "OpenAI API Base",
+                "dynamic": false,
+                "info": "",
+                "input_types": [],
+                "load_from_db": true,
+                "name": "openai_api_base",
+                "password": true,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "openai_api_key": {
+                "advanced": false,
+                "display_name": "OpenAI API Key",
+                "dynamic": false,
+                "info": "",
+                "input_types": [],
+                "load_from_db": true,
+                "name": "openai_api_key",
+                "password": true,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "OPENAI_API_KEY"
+              },
+              "openai_api_type": {
+                "advanced": true,
+                "display_name": "OpenAI API Type",
+                "dynamic": false,
+                "info": "",
+                "input_types": [],
+                "load_from_db": true,
+                "name": "openai_api_type",
+                "password": true,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "openai_api_version": {
+                "advanced": true,
+                "display_name": "OpenAI API Version",
+                "dynamic": false,
+                "info": "",
+                "input_types": [
+                  "Message",
+                  "str"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "openai_api_version",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "openai_organization": {
+                "advanced": true,
+                "display_name": "OpenAI Organization",
+                "dynamic": false,
+                "info": "",
+                "input_types": [
+                  "Message",
+                  "str"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "openai_organization",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "openai_proxy": {
+                "advanced": true,
+                "display_name": "OpenAI Proxy",
+                "dynamic": false,
+                "info": "",
+                "input_types": [
+                  "Message",
+                  "str"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "openai_proxy",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "request_timeout": {
+                "advanced": true,
+                "display_name": "Request Timeout",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "request_timeout",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "float",
+                "value": ""
+              },
+              "show_progress_bar": {
+                "advanced": true,
+                "display_name": "Show Progress Bar",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "show_progress_bar",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "bool",
+                "value": false
+              },
+              "skip_empty": {
+                "advanced": true,
+                "display_name": "Skip Empty",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "skip_empty",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "bool",
+                "value": false
+              },
+              "tiktoken_enable": {
+                "advanced": true,
+                "display_name": "TikToken Enable",
+                "dynamic": false,
+                "info": "If False, you must have transformers installed.",
+                "list": false,
+                "name": "tiktoken_enable",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "bool",
+                "value": true
+              },
+              "tiktoken_model_name": {
+                "advanced": true,
+                "display_name": "TikToken Model Name",
+                "dynamic": false,
+                "info": "",
+                "input_types": [
+                  "Message",
+                  "str"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "tiktoken_model_name",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              }
+            }
+          },
+          "type": "OpenAIEmbeddings"
+        },
+        "dragging": false,
+        "height": 395,
+        "id": "OpenAIEmbeddings-HsV7O",
+        "position": {
+          "x": 690.5967478991026,
+          "y": 597.6680004855787
+        },
+        "positionAbsolute": {
+          "x": 690.5967478991026,
+          "y": 597.6680004855787
+        },
+        "selected": false,
+        "type": "genericNode",
+        "width": 384
+      },
+      {
+        "data": {
+          "id": "OpenAIModel-PKrw7",
+          "node": {
+            "base_classes": [
+              "object",
+              "Text",
+              "str"
+            ],
+            "beta": false,
+            "custom_fields": {
+              "input_value": null,
+              "max_tokens": null,
+              "model_kwargs": null,
+              "model_name": null,
+              "openai_api_base": null,
+              "openai_api_key": null,
+              "stream": null,
+              "system_message": null,
+              "temperature": null
+            },
+            "description": "Generates text using OpenAI LLMs.",
+            "display_name": "OpenAI",
+            "documentation": "",
+            "field_formatters": {},
+            "field_order": [
+              "max_tokens",
+              "model_kwargs",
+              "model_name",
+              "openai_api_base",
+              "openai_api_key",
+              "temperature",
+              "input_value",
+              "system_message",
+              "stream"
+            ],
+            "frozen": false,
+            "icon": "OpenAI",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Text",
+                "method": "text_response",
+                "name": "text_output",
+                "selected": "Message",
+                "types": [
+                  "Message"
+                ],
+                "value": "__UNDEFINED__"
+              },
+              {
+                "cache": true,
+                "display_name": "Language Model",
+                "method": "build_model",
+                "name": "model_output",
+                "selected": "BaseLanguageModel",
+                "types": [
+                  "BaseLanguageModel"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "template": {
+              "_type": "Component",
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "import operator\nfrom functools import reduce\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import BaseLanguageModel\nfrom langflow.inputs import (\n    BoolInput,\n    DictInput,\n    DropdownInput,\n    FloatInput,\n    IntInput,\n    MessageInput,\n    SecretStrInput,\n    StrInput,\n)\nfrom langflow.schema.message import Message\nfrom langflow.template import Output\n\n\nclass OpenAIModelComponent(LCModelComponent):\n    display_name = \"OpenAI\"\n    description = \"Generates text using OpenAI LLMs.\"\n    icon = \"OpenAI\"\n\n    inputs = [\n        MessageInput(name=\"input_value\", display_name=\"Input\"),\n        IntInput(\n            name=\"max_tokens\",\n            display_name=\"Max Tokens\",\n            advanced=True,\n            info=\"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n        ),\n        DictInput(name=\"model_kwargs\", display_name=\"Model Kwargs\", advanced=True),\n        DictInput(\n            name=\"output_schema\",\n            is_list=True,\n            display_name=\"Schema\",\n            advanced=True,\n            info=\"The schema for the Output of the model. You must pass the word JSON in the prompt. If left blank, JSON mode will be disabled.\",\n        ),\n        DropdownInput(\n            name=\"model_name\", display_name=\"Model Name\", advanced=False, options=MODEL_NAMES, value=MODEL_NAMES[0]\n        ),\n        StrInput(\n            name=\"openai_api_base\",\n            display_name=\"OpenAI API Base\",\n            advanced=True,\n            info=\"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1. You can change this to use other APIs like JinaChat, LocalAI and Prem.\",\n        ),\n        SecretStrInput(\n            name=\"openai_api_key\",\n            display_name=\"OpenAI API Key\",\n            info=\"The OpenAI API Key to use for the OpenAI model.\",\n            advanced=False,\n            value=\"OPENAI_API_KEY\",\n        ),\n        FloatInput(name=\"temperature\", display_name=\"Temperature\", value=0.1),\n        BoolInput(name=\"stream\", display_name=\"Stream\", info=STREAM_INFO_TEXT, advanced=True),\n        StrInput(\n            name=\"system_message\",\n            display_name=\"System Message\",\n            info=\"System message to pass to the model.\",\n            advanced=True,\n        ),\n        IntInput(\n            name=\"seed\",\n            display_name=\"Seed\",\n            info=\"The seed controls the reproducibility of the job.\",\n            advanced=True,\n            value=1,\n        ),\n    ]\n    outputs = [\n        Output(display_name=\"Text\", name=\"text_output\", method=\"text_response\"),\n        Output(display_name=\"Language Model\", name=\"model_output\", method=\"build_model\"),\n    ]\n\n    def text_response(self) -> Message:\n        input_value = self.input_value\n        stream = self.stream\n        system_message = self.system_message\n        output = self.build_model()\n        result = self.get_chat_result(output, stream, input_value, system_message)\n        self.status = result\n        return result\n\n    def build_model(self) -> BaseLanguageModel:\n        # self.output_schea is a list of dictionaries\n        # let's convert it to a dictionary\n        output_schema_dict = reduce(operator.ior, self.output_schema or {}, {})\n        openai_api_key = self.openai_api_key\n        temperature = self.temperature\n        model_name = self.model_name\n        max_tokens = self.max_tokens\n        model_kwargs = self.model_kwargs\n        openai_api_base = self.openai_api_base or \"https://api.openai.com/v1\"\n        json_mode = bool(output_schema_dict)\n        seed = self.seed\n        if openai_api_key:\n            api_key = SecretStr(openai_api_key)\n        else:\n            api_key = None\n        output = ChatOpenAI(\n            max_tokens=max_tokens or None,\n            model_kwargs=model_kwargs or {},\n            model=model_name or None,\n            base_url=openai_api_base,\n            api_key=api_key,\n            temperature=temperature or 0.1,\n            seed=seed,\n        )\n        if json_mode:\n            output = output.with_structured_output(schema=output_schema_dict, method=\"json_mode\")\n\n        return output\n"
+              },
+              "input_value": {
+                "advanced": false,
+                "display_name": "Input",
+                "dynamic": false,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "input_types": [
+                  "Message"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "input_value",
+                "password": false,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "max_tokens": {
+                "advanced": true,
+                "display_name": "Max Tokens",
+                "dynamic": false,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "The maximum number of tokens to generate. Set to 0 for unlimited tokens.",
+                "input_types": [
+                  "Text"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "multiline": false,
+                "name": "max_tokens",
+                "password": false,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "model_kwargs": {
+                "advanced": true,
+                "display_name": "Model Kwargs",
+                "dynamic": false,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "input_types": [
+                  "Text"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "multiline": false,
+                "name": "model_kwargs",
+                "password": false,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "model_name": {
+                "advanced": false,
+                "display_name": "Model Name",
+                "dynamic": false,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "input_types": [
+                  "Text"
+                ],
+                "list": true,
+                "load_from_db": false,
+                "multiline": false,
+                "name": "model_name",
+                "options": [
+                  "gpt-4o",
+                  "gpt-4-turbo",
+                  "gpt-4-turbo-preview",
+                  "gpt-3.5-turbo",
+                  "gpt-3.5-turbo-0125"
+                ],
+                "password": false,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "gpt-3.5-turbo"
+              },
+              "openai_api_base": {
+                "advanced": true,
+                "display_name": "OpenAI API Base",
+                "dynamic": false,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1. You can change this to use other APIs like JinaChat, LocalAI and Prem.",
+                "input_types": [
+                  "Text"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "openai_api_base",
+                "password": false,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "openai_api_key": {
+                "advanced": false,
+                "display_name": "OpenAI API Key",
+                "dynamic": false,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "The OpenAI API Key to use for the OpenAI model.",
+                "input_types": [],
+                "list": false,
+                "load_from_db": true,
+                "multiline": false,
+                "name": "openai_api_key",
+                "password": true,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "OPENAI_API_KEY"
+              },
+              "stream": {
+                "advanced": true,
+                "display_name": "Stream",
+                "dynamic": false,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "Stream the response from the model. Streaming works only in Chat.",
+                "input_types": [
+                  "Text"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "multiline": false,
+                "name": "stream",
+                "password": false,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": false
+              },
+              "system_message": {
+                "advanced": true,
+                "display_name": "System Message",
+                "dynamic": false,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "System message to pass to the model.",
+                "input_types": [
+                  "Text"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "system_message",
+                "password": false,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "temperature": {
+                "advanced": false,
+                "display_name": "Temperature",
+                "dynamic": false,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "input_types": [
+                  "Text"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "multiline": false,
+                "name": "temperature",
+                "password": false,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": 0.1
+              }
+            }
+          },
+          "type": "OpenAIModel"
+        },
+        "dragging": false,
+        "height": 639,
+        "id": "OpenAIModel-PKrw7",
+        "position": {
+          "x": 3410.117202077183,
+          "y": 431.2038048137648
+        },
+        "positionAbsolute": {
+          "x": 3410.117202077183,
+          "y": 431.2038048137648
+        },
+        "selected": false,
+        "type": "genericNode",
+        "width": 384
+      },
+      {
+        "data": {
+          "description": "Create a prompt template with dynamic variables.",
+          "display_name": "Prompt",
+          "id": "Prompt-VecUe",
+          "node": {
+            "base_classes": [
+              "object",
+              "str",
+              "Text"
+            ],
+            "beta": false,
+            "conditional_paths": [],
+            "custom_fields": {
+              "template": [
+                "context",
+                "question"
+              ]
+            },
+            "description": "Create a prompt template with dynamic variables.",
+            "display_name": "Prompt",
+            "documentation": "",
+            "error": null,
+            "field_order": [],
+            "frozen": false,
+            "full_path": null,
+            "icon": "prompts",
+            "is_composition": null,
+            "is_input": null,
+            "is_output": null,
+            "name": "",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Prompt Message",
+                "method": "build_prompt",
+                "name": "prompt",
+                "selected": "Message",
+                "types": [
+                  "Message"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "pinned": false,
+            "template": {
+              "_type": "Component",
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "from langflow.custom import Component\nfrom langflow.io import Output, PromptInput\nfrom langflow.schema.message import Message\n\n\nclass PromptComponent(Component):\n    display_name: str = \"Prompt\"\n    description: str = \"Create a prompt template with dynamic variables.\"\n    icon = \"prompts\"\n\n    inputs = [\n        PromptInput(name=\"template\", display_name=\"Template\"),\n    ]\n\n    outputs = [\n        Output(display_name=\"Prompt Message\", name=\"prompt\", method=\"build_prompt\"),\n    ]\n\n    async def build_prompt(\n        self,\n    ) -> Message:\n        prompt = await Message.from_template_and_variables(**self._arguments)\n        self.status = prompt.text\n        return prompt\n"
+              },
+              "context": {
+                "advanced": false,
+                "display_name": "context",
+                "dynamic": false,
+                "field_type": "str",
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "input_types": [
+                  "Message",
+                  "Text"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "context",
+                "password": false,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "question": {
+                "advanced": false,
+                "display_name": "question",
+                "dynamic": false,
+                "field_type": "str",
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "input_types": [
+                  "Message",
+                  "Text"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "question",
+                "password": false,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "template": {
+                "advanced": false,
+                "display_name": "Template",
+                "dynamic": false,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "input_types": [
+                  "Text"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "multiline": false,
+                "name": "template",
+                "password": false,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "prompt",
+                "value": "{context}\n\n---\n\nGiven the context above, answer the question as best as possible.\n\nQuestion: {question}\n\nAnswer: "
+              }
+            }
+          },
+          "type": "Prompt"
+        },
+        "dragging": false,
+        "height": 525,
+        "id": "Prompt-VecUe",
+        "position": {
+          "x": 2941.2776396951576,
+          "y": 446.43037366459487
+        },
+        "positionAbsolute": {
+          "x": 2941.2776396951576,
+          "y": 446.43037366459487
+        },
+        "selected": false,
+        "type": "genericNode",
+        "width": 384
+      },
+      {
+        "data": {
+          "id": "ChatOutput-nUD9B",
+          "node": {
+            "base_classes": [
+              "object",
+              "Text",
+              "Record",
+              "str"
+            ],
+            "beta": false,
+            "custom_fields": {
+              "input_value": null,
+              "record_template": null,
+              "return_record": null,
+              "sender": null,
+              "sender_name": null,
+              "session_id": null
+            },
+            "description": "Display a chat message in the Playground.",
+            "display_name": "Chat Output",
+            "documentation": "",
+            "field_formatters": {},
+            "field_order": [],
+            "frozen": false,
+            "icon": "ChatOutput",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Message",
+                "method": "message_response",
+                "name": "message",
+                "selected": "Message",
+                "types": [
+                  "Message"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "template": {
+              "_type": "Component",
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.io import DropdownInput, Output, MessageTextInput\nfrom langflow.schema.message import Message\n\n\nclass ChatOutput(ChatComponent):\n    display_name = \"Chat Output\"\n    description = \"Display a chat message in the Playground.\"\n    icon = \"ChatOutput\"\n\n    inputs = [\n        MessageTextInput(\n            name=\"input_value\",\n            display_name=\"Text\",\n            info=\"Message to be passed as output.\",\n        ),\n        DropdownInput(\n            name=\"sender\",\n            display_name=\"Sender Type\",\n            options=[\"Machine\", \"User\"],\n            value=\"Machine\",\n            advanced=True,\n            info=\"Type of sender.\",\n        ),\n        MessageTextInput(\n            name=\"sender_name\", display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\", advanced=True\n        ),\n        MessageTextInput(name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True),\n        MessageTextInput(\n            name=\"data_template\",\n            display_name=\"Data Template\",\n            value=\"{text}\",\n            advanced=True,\n            info=\"Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.\",\n        ),\n    ]\n    outputs = [\n        Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n    ]\n\n    def message_response(self) -> Message:\n        message = Message(\n            text=self.input_value,\n            sender=self.sender,\n            sender_name=self.sender_name,\n            session_id=self.session_id,\n        )\n        if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n            self.store_message(message)\n            self.message.value = message\n\n        self.status = message\n        return message\n"
+              },
+              "input_value": {
+                "advanced": false,
+                "display_name": "Text",
+                "dynamic": false,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "Message to be passed as output.",
+                "input_types": [
+                  "Message",
+                  "str"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "input_value",
+                "password": false,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "sender": {
+                "advanced": true,
+                "display_name": "Sender Type",
+                "dynamic": false,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "Type of sender.",
+                "input_types": [
+                  "Text"
+                ],
+                "list": true,
+                "load_from_db": false,
+                "multiline": false,
+                "name": "sender",
+                "options": [
+                  "Machine",
+                  "User"
+                ],
+                "password": false,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "Machine"
+              },
+              "sender_name": {
+                "advanced": true,
+                "display_name": "Sender Name",
+                "dynamic": false,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "Name of the sender.",
+                "input_types": [
+                  "Message",
+                  "str"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "sender_name",
+                "password": false,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "AI"
+              },
+              "session_id": {
+                "advanced": true,
+                "display_name": "Session ID",
+                "dynamic": false,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "Session ID for the message.",
+                "input_types": [
+                  "Message",
+                  "str"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "session_id",
+                "password": false,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              }
+            }
+          },
+          "type": "ChatOutput"
+        },
+        "dragging": false,
+        "height": 309,
+        "id": "ChatOutput-nUD9B",
+        "position": {
+          "x": 3998.201592537035,
+          "y": 603.4216529723935
+        },
+        "positionAbsolute": {
+          "x": 3998.201592537035,
+          "y": 603.4216529723935
+        },
+        "selected": false,
+        "type": "genericNode",
+        "width": 384
+      },
+      {
+        "data": {
+          "id": "File-w2zxA",
+          "node": {
+            "base_classes": [
+              "Record"
+            ],
+            "beta": false,
+            "custom_fields": {
+              "path": null,
+              "silent_errors": null
+            },
+            "description": "A generic file loader.",
+            "display_name": "File",
+            "documentation": "",
+            "field_formatters": {},
+            "field_order": [],
+            "frozen": false,
+            "icon": "file-text",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Data",
+                "method": "load_file",
+                "name": "data",
+                "selected": "Data",
+                "types": [
+                  "Data"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "template": {
+              "_type": "Component",
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "from pathlib import Path\n\nfrom langflow.base.data.utils import TEXT_FILE_TYPES, parse_text_file_to_data\nfrom langflow.custom import Component\nfrom langflow.io import BoolInput, FileInput, Output\nfrom langflow.schema import Data\n\n\nclass FileComponent(Component):\n    display_name = \"File\"\n    description = \"A generic file loader.\"\n    icon = \"file-text\"\n\n    inputs = [\n        FileInput(\n            name=\"path\",\n            display_name=\"Path\",\n            file_types=TEXT_FILE_TYPES,\n            info=f\"Supported file types: {', '.join(TEXT_FILE_TYPES)}\",\n        ),\n        BoolInput(\n            name=\"silent_errors\",\n            display_name=\"Silent Errors\",\n            advanced=True,\n            info=\"If true, errors will not raise an exception.\",\n        ),\n    ]\n\n    outputs = [\n        Output(display_name=\"Data\", name=\"data\", method=\"load_file\"),\n    ]\n\n    def load_file(self) -> Data:\n        if not self.path:\n            raise ValueError(\"Please, upload a file to use this component.\")\n        resolved_path = self.resolve_path(self.path)\n        silent_errors = self.silent_errors\n\n        extension = Path(resolved_path).suffix[1:].lower()\n\n        if extension == \"doc\":\n            raise ValueError(\"doc files are not supported. Please save as .docx\")\n        if extension not in TEXT_FILE_TYPES:\n            raise ValueError(f\"Unsupported file type: {extension}\")\n\n        data = parse_text_file_to_data(resolved_path, silent_errors)\n        self.status = data if data else \"No data\"\n        return data or Data()\n"
+              },
+              "path": {
+                "advanced": false,
+                "display_name": "Path",
+                "dynamic": false,
+                "fileTypes": [
+                  "txt",
+                  "md",
+                  "mdx",
+                  "csv",
+                  "json",
+                  "yaml",
+                  "yml",
+                  "xml",
+                  "html",
+                  "htm",
+                  "pdf",
+                  "docx",
+                  "py",
+                  "sh",
+                  "sql",
+                  "js",
+                  "ts",
+                  "tsx"
+                ],
+                "file_path": "0433f955-c8cc-4d24-a2bf-e8cd0d11f99c/_Cadastro_de_Pessoa_Fisica_Editável__-_Assinado[1] (1).pdf",
+                "info": "Supported file types: txt, md, mdx, csv, json, yaml, yml, xml, html, htm, pdf, docx, py, sh, sql, js, ts, tsx",
+                "list": false,
+                "name": "path",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "file",
+                "value": ""
+              },
+              "silent_errors": {
+                "advanced": true,
+                "display_name": "Silent Errors",
+                "dynamic": false,
+                "info": "If true, errors will not raise an exception.",
+                "list": false,
+                "name": "silent_errors",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "bool",
+                "value": false
+              }
+            }
+          },
+          "type": "File"
+        },
+        "dragging": false,
+        "height": 301,
+        "id": "File-w2zxA",
+        "position": {
+          "x": 2257.233450682836,
+          "y": 1747.5389618367233
+        },
+        "positionAbsolute": {
+          "x": 2257.233450682836,
+          "y": 1747.5389618367233
+        },
+        "selected": false,
+        "type": "genericNode",
+        "width": 384
+      },
+      {
+        "data": {
+          "id": "OpenAIEmbeddings-PCoh9",
+          "node": {
+            "base_classes": [
+              "Embeddings"
+            ],
+            "beta": false,
+            "custom_fields": {
+              "allowed_special": null,
+              "chunk_size": null,
+              "client": null,
+              "default_headers": null,
+              "default_query": null,
+              "deployment": null,
+              "disallowed_special": null,
+              "embedding_ctx_length": null,
+              "max_retries": null,
+              "model": null,
+              "model_kwargs": null,
+              "openai_api_base": null,
+              "openai_api_key": null,
+              "openai_api_type": null,
+              "openai_api_version": null,
+              "openai_organization": null,
+              "openai_proxy": null,
+              "request_timeout": null,
+              "show_progress_bar": null,
+              "skip_empty": null,
+              "tiktoken_enable": null,
+              "tiktoken_model_name": null
+            },
+            "description": "Generate embeddings using OpenAI models.",
+            "display_name": "OpenAI Embeddings",
+            "documentation": "",
+            "field_formatters": {},
+            "field_order": [],
+            "frozen": false,
+            "icon": "OpenAI",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Embeddings",
+                "method": "build_embeddings",
+                "name": "embeddings",
+                "selected": "Embeddings",
+                "types": [
+                  "Embeddings"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "template": {
+              "_type": "Component",
+              "chunk_size": {
+                "advanced": true,
+                "display_name": "Chunk Size",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "chunk_size",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": 1000
+              },
+              "client": {
+                "advanced": true,
+                "display_name": "Client",
+                "dynamic": false,
+                "info": "",
+                "input_types": [
+                  "Message",
+                  "str"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "client",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "from langchain_openai.embeddings.base import OpenAIEmbeddings\n\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.field_typing import Embeddings\nfrom langflow.io import BoolInput, DictInput, DropdownInput, FloatInput, IntInput, Output, SecretStrInput, MessageTextInput\n\n\nclass OpenAIEmbeddingsComponent(LCModelComponent):\n    display_name = \"OpenAI Embeddings\"\n    description = \"Generate embeddings using OpenAI models.\"\n    icon = \"OpenAI\"\n    inputs = [\n        DictInput(\n            name=\"default_headers\",\n            display_name=\"Default Headers\",\n            advanced=True,\n            info=\"Default headers to use for the API request.\",\n        ),\n        DictInput(\n            name=\"default_query\",\n            display_name=\"Default Query\",\n            advanced=True,\n            info=\"Default query parameters to use for the API request.\",\n        ),\n        IntInput(name=\"chunk_size\", display_name=\"Chunk Size\", advanced=True, value=1000),\n        MessageTextInput(name=\"client\", display_name=\"Client\", advanced=True),\n        MessageTextInput(name=\"deployment\", display_name=\"Deployment\", advanced=True),\n        IntInput(name=\"embedding_ctx_length\", display_name=\"Embedding Context Length\", advanced=True, value=1536),\n        IntInput(name=\"max_retries\", display_name=\"Max Retries\", value=3, advanced=True),\n        DropdownInput(\n            name=\"model\",\n            display_name=\"Model\",\n            advanced=False,\n            options=[\n                \"text-embedding-3-small\",\n                \"text-embedding-3-large\",\n                \"text-embedding-ada-002\",\n            ],\n            value=\"text-embedding-3-small\",\n        ),\n        DictInput(name=\"model_kwargs\", display_name=\"Model Kwargs\", advanced=True),\n        SecretStrInput(name=\"openai_api_base\", display_name=\"OpenAI API Base\", advanced=True),\n        SecretStrInput(name=\"openai_api_key\", display_name=\"OpenAI API Key\"),\n        SecretStrInput(name=\"openai_api_type\", display_name=\"OpenAI API Type\", advanced=True),\n        MessageTextInput(name=\"openai_api_version\", display_name=\"OpenAI API Version\", advanced=True),\n        MessageTextInput(\n            name=\"openai_organization\",\n            display_name=\"OpenAI Organization\",\n            advanced=True,\n        ),\n        MessageTextInput(name=\"openai_proxy\", display_name=\"OpenAI Proxy\", advanced=True),\n        FloatInput(name=\"request_timeout\", display_name=\"Request Timeout\", advanced=True),\n        BoolInput(name=\"show_progress_bar\", display_name=\"Show Progress Bar\", advanced=True),\n        BoolInput(name=\"skip_empty\", display_name=\"Skip Empty\", advanced=True),\n        MessageTextInput(\n            name=\"tiktoken_model_name\",\n            display_name=\"TikToken Model Name\",\n            advanced=True,\n        ),\n        BoolInput(\n            name=\"tiktoken_enable\",\n            display_name=\"TikToken Enable\",\n            advanced=True,\n            value=True,\n            info=\"If False, you must have transformers installed.\",\n        ),\n    ]\n\n    outputs = [\n        Output(display_name=\"Embeddings\", name=\"embeddings\", method=\"build_embeddings\"),\n    ]\n\n    def build_embeddings(self) -> Embeddings:\n        return OpenAIEmbeddings(\n            tiktoken_enabled=self.tiktoken_enable,\n            default_headers=self.default_headers,\n            default_query=self.default_query,\n            allowed_special=\"all\",\n            disallowed_special=\"all\",\n            chunk_size=self.chunk_size,\n            deployment=self.deployment,\n            embedding_ctx_length=self.embedding_ctx_length,\n            max_retries=self.max_retries,\n            model=self.model,\n            model_kwargs=self.model_kwargs,\n            base_url=self.openai_api_base,\n            api_key=self.openai_api_key,\n            openai_api_type=self.openai_api_type,\n            api_version=self.openai_api_version,\n            organization=self.openai_organization,\n            openai_proxy=self.openai_proxy,\n            timeout=self.request_timeout or None,\n            show_progress_bar=self.show_progress_bar,\n            skip_empty=self.skip_empty,\n            tiktoken_model_name=self.tiktoken_model_name,\n        )\n"
+              },
+              "default_headers": {
+                "advanced": true,
+                "display_name": "Default Headers",
+                "dynamic": false,
+                "info": "Default headers to use for the API request.",
+                "list": false,
+                "name": "default_headers",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "dict",
+                "value": {}
+              },
+              "default_query": {
+                "advanced": true,
+                "display_name": "Default Query",
+                "dynamic": false,
+                "info": "Default query parameters to use for the API request.",
+                "list": false,
+                "name": "default_query",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "dict",
+                "value": {}
+              },
+              "deployment": {
+                "advanced": true,
+                "display_name": "Deployment",
+                "dynamic": false,
+                "info": "",
+                "input_types": [
+                  "Message",
+                  "str"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "deployment",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "embedding_ctx_length": {
+                "advanced": true,
+                "display_name": "Embedding Context Length",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "embedding_ctx_length",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": 1536
+              },
+              "max_retries": {
+                "advanced": true,
+                "display_name": "Max Retries",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "max_retries",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": 3
+              },
+              "model": {
+                "advanced": false,
+                "display_name": "Model",
+                "dynamic": false,
+                "info": "",
+                "name": "model",
+                "options": [
+                  "text-embedding-3-small",
+                  "text-embedding-3-large",
+                  "text-embedding-ada-002"
+                ],
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "text-embedding-3-small"
+              },
+              "model_kwargs": {
+                "advanced": true,
+                "display_name": "Model Kwargs",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "model_kwargs",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "dict",
+                "value": {}
+              },
+              "openai_api_base": {
+                "advanced": true,
+                "display_name": "OpenAI API Base",
+                "dynamic": false,
+                "info": "",
+                "input_types": [],
+                "load_from_db": true,
+                "name": "openai_api_base",
+                "password": true,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "openai_api_key": {
+                "advanced": false,
+                "display_name": "OpenAI API Key",
+                "dynamic": false,
+                "info": "",
+                "input_types": [],
+                "load_from_db": true,
+                "name": "openai_api_key",
+                "password": true,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "OPENAI_API_KEY"
+              },
+              "openai_api_type": {
+                "advanced": true,
+                "display_name": "OpenAI API Type",
+                "dynamic": false,
+                "info": "",
+                "input_types": [],
+                "load_from_db": true,
+                "name": "openai_api_type",
+                "password": true,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "openai_api_version": {
+                "advanced": true,
+                "display_name": "OpenAI API Version",
+                "dynamic": false,
+                "info": "",
+                "input_types": [
+                  "Message",
+                  "str"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "openai_api_version",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "openai_organization": {
+                "advanced": true,
+                "display_name": "OpenAI Organization",
+                "dynamic": false,
+                "info": "",
+                "input_types": [
+                  "Message",
+                  "str"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "openai_organization",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "openai_proxy": {
+                "advanced": true,
+                "display_name": "OpenAI Proxy",
+                "dynamic": false,
+                "info": "",
+                "input_types": [
+                  "Message",
+                  "str"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "openai_proxy",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "request_timeout": {
+                "advanced": true,
+                "display_name": "Request Timeout",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "request_timeout",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "float",
+                "value": ""
+              },
+              "show_progress_bar": {
+                "advanced": true,
+                "display_name": "Show Progress Bar",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "show_progress_bar",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "bool",
+                "value": false
+              },
+              "skip_empty": {
+                "advanced": true,
+                "display_name": "Skip Empty",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "name": "skip_empty",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "bool",
+                "value": false
+              },
+              "tiktoken_enable": {
+                "advanced": true,
+                "display_name": "TikToken Enable",
+                "dynamic": false,
+                "info": "If False, you must have transformers installed.",
+                "list": false,
+                "name": "tiktoken_enable",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "bool",
+                "value": true
+              },
+              "tiktoken_model_name": {
+                "advanced": true,
+                "display_name": "TikToken Model Name",
+                "dynamic": false,
+                "info": "",
+                "input_types": [
+                  "Message",
+                  "str"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "name": "tiktoken_model_name",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              }
+            }
+          },
+          "type": "OpenAIEmbeddings"
+        },
+        "dragging": false,
+        "height": 395,
+        "id": "OpenAIEmbeddings-PCoh9",
+        "position": {
+          "x": 2781.1922529351923,
+          "y": 2206.267872396239
+        },
+        "positionAbsolute": {
+          "x": 2781.1922529351923,
+          "y": 2206.267872396239
+        },
+        "selected": false,
+        "type": "genericNode",
+        "width": 384
+      },
+      {
+        "data": {
+          "description": "Split text into chunks of a specified length.",
+          "display_name": "Recursive Character Text Splitter",
+          "id": "RecursiveCharacterTextSplitter-CrApG",
+          "node": {
+            "base_classes": [
+              "Data"
+            ],
+            "beta": false,
+            "conditional_paths": [],
+            "custom_fields": {},
+            "description": "Split text into chunks of a specified length.",
+            "display_name": "Recursive Character Text Splitter",
+            "documentation": "https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter",
+            "edited": true,
+            "field_order": [
+              "chunk_size",
+              "chunk_overlap",
+              "data_input",
+              "separators"
+            ],
+            "frozen": false,
+            "output_types": [
+              "Data"
+            ],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Data",
+                "method": "build",
+                "name": "data",
+                "selected": "Data",
+                "types": [
+                  "Data"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "pinned": false,
+            "template": {
+              "_type": "Component",
+              "chunk_overlap": {
+                "advanced": false,
+                "display_name": "Chunk Overlap",
+                "dynamic": false,
+                "info": "The amount of overlap between chunks.",
+                "list": false,
+                "name": "chunk_overlap",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": 200
+              },
+              "chunk_size": {
+                "advanced": false,
+                "display_name": "Chunk Size",
+                "dynamic": false,
+                "info": "The maximum length of each chunk.",
+                "list": false,
+                "name": "chunk_size",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": 1000
+              },
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "from langchain_text_splitters import RecursiveCharacterTextSplitter\n\nfrom langflow.custom import Component\nfrom langflow.inputs.inputs import DataInput, IntInput, MessageTextInput\nfrom langflow.schema import Data\nfrom langflow.template.field.base import Output\nfrom langflow.utils.util import build_loader_repr_from_data, unescape_string\n\n\nclass RecursiveCharacterTextSplitterComponent(Component):\n    display_name: str = \"Recursive Character Text Splitter\"\n    description: str = \"Split text into chunks of a specified length.\"\n    documentation: str = \"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\"\n\n    inputs = [\n        IntInput(\n            name=\"chunk_size\",\n            display_name=\"Chunk Size\",\n            info=\"The maximum length of each chunk.\",\n            value=1000,\n        ),\n        IntInput(\n            name=\"chunk_overlap\",\n            display_name=\"Chunk Overlap\",\n            info=\"The amount of overlap between chunks.\",\n            value=200,\n        ),\n        DataInput(\n            name=\"data_input\",\n            display_name=\"Input\",\n            info=\"The texts to split.\",\n            input_types=[\"Document\", \"Data\"],\n        ),\n        MessageTextInput(\n            name=\"separators\",\n            display_name=\"Separators\",\n            info='The characters to split on.\\nIf left empty defaults to [\"\\\\n\\\\n\", \"\\\\n\", \" \", \"\"].',\n            is_list=True,\n        ),\n    ]\n    outputs = [\n        Output(display_name=\"Data\", name=\"data\", method=\"build\"),\n    ]\n\n    def build(self) -> list[Data]:\n        \"\"\"\n        Split text into chunks of a specified length.\n\n        Args:\n            separators (list[str]): The characters to split on.\n            chunk_size (int): The maximum length of each chunk.\n            chunk_overlap (int): The amount of overlap between chunks.\n\n        Returns:\n            list[str]: The chunks of text.\n        \"\"\"\n\n        if self.separators == \"\":\n            self.separators = None\n        elif self.separators:\n            # check if the separators list has escaped characters\n            # if there are escaped characters, unescape them\n            self.separators = [unescape_string(x) for x in self.separators]\n\n        # Make sure chunk_size and chunk_overlap are ints\n        if isinstance(self.chunk_size, str):\n            self.chunk_size = int(self.chunk_size)\n        if isinstance(self.chunk_overlap, str):\n            self.chunk_overlap = int(self.chunk_overlap)\n        splitter = RecursiveCharacterTextSplitter(\n            separators=self.separators,\n            chunk_size=self.chunk_size,\n            chunk_overlap=self.chunk_overlap,\n        )\n        documents = []\n        if not isinstance(self.data_input, list):\n            self.data_input = [self.data_input]\n        for _input in self.data_input:\n            if isinstance(_input, Data):\n                documents.append(_input.to_lc_document())\n            else:\n                documents.append(_input)\n        docs = splitter.split_documents(documents)\n        data = self.to_data(docs)\n        self.repr_value = build_loader_repr_from_data(data)\n        return data\n"
+              },
+              "data_input": {
+                "advanced": false,
+                "display_name": "Input",
+                "dynamic": false,
+                "info": "The texts to split.",
+                "input_types": [
+                  "Document",
+                  "Data"
+                ],
+                "list": false,
+                "name": "data_input",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "other",
+                "value": ""
+              },
+              "separators": {
+                "advanced": false,
+                "display_name": "Separators",
+                "dynamic": false,
+                "info": "The characters to split on.\nIf left empty defaults to [\"\\n\\n\", \"\\n\", \" \", \"\"].",
+                "input_types": [
+                  "Message",
+                  "str"
+                ],
+                "list": true,
+                "load_from_db": false,
+                "name": "separators",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": [
+                  "\\n"
+                ]
+              }
+            }
+          },
+          "type": "RecursiveCharacterTextSplitter"
+        },
+        "dragging": false,
+        "height": 529,
+        "id": "RecursiveCharacterTextSplitter-CrApG",
+        "position": {
+          "x": 2726.46405760335,
+          "y": 1530.1666819162674
+        },
+        "positionAbsolute": {
+          "x": 2726.46405760335,
+          "y": 1530.1666819162674
+        },
+        "selected": false,
+        "type": "genericNode",
+        "width": 384
+      },
+      {
+        "data": {
+          "description": "Implementation of Vector Store using Astra DB with search capabilities",
+          "display_name": "Astra DB Vector Store",
+          "id": "AstraDB-rXo8b",
+          "node": {
+            "base_classes": [
+              "Data"
+            ],
+            "beta": false,
+            "conditional_paths": [],
+            "custom_fields": {},
+            "description": "Implementation of Vector Store using Astra DB with search capabilities",
+            "display_name": "Astra DB Vector Store",
+            "documentation": "https://python.langchain.com/docs/integrations/vectorstores/astradb",
+            "edited": false,
+            "field_order": [
+              "collection_name",
+              "token",
+              "api_endpoint",
+              "vector_store_inputs",
+              "embedding",
+              "namespace",
+              "metric",
+              "batch_size",
+              "bulk_insert_batch_concurrency",
+              "bulk_insert_overwrite_concurrency",
+              "bulk_delete_concurrency",
+              "setup_mode",
+              "pre_delete_collection",
+              "metadata_indexing_include",
+              "metadata_indexing_exclude",
+              "collection_indexing_policy",
+              "add_to_vector_store",
+              "search_input",
+              "search_type",
+              "number_of_results"
+            ],
+            "frozen": false,
+            "icon": "AstraDB",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Retriever",
+                "method": "build_base_retriever",
+                "name": "base_retriever",
+                "selected": "Data",
+                "types": [
+                  "Data"
+                ],
+                "value": "__UNDEFINED__"
+              },
+              {
+                "cache": true,
+                "display_name": "Search Results",
+                "method": "search_documents",
+                "name": "search_results",
+                "selected": "Data",
+                "types": [
+                  "Data"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "pinned": false,
+            "template": {
+              "_type": "Component",
+              "add_to_vector_store": {
+                "advanced": false,
+                "display_name": "Add to Vector Store",
+                "dynamic": false,
+                "info": "If true, the Vector Store Inputs will be added to the Vector Store.",
+                "list": false,
+                "name": "add_to_vector_store",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "bool",
+                "value": true
+              },
+              "api_endpoint": {
+                "advanced": false,
+                "display_name": "API Endpoint",
+                "dynamic": false,
+                "info": "API endpoint URL for the Astra DB service.",
+                "input_types": [],
+                "load_from_db": true,
+                "name": "api_endpoint",
+                "password": true,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "ASTRA_DB_API_ENDPOINT"
+              },
+              "batch_size": {
+                "advanced": true,
+                "display_name": "Batch Size",
+                "dynamic": false,
+                "info": "Optional number of data to process in a single batch.",
+                "list": false,
+                "name": "batch_size",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": ""
+              },
+              "bulk_delete_concurrency": {
+                "advanced": true,
+                "display_name": "Bulk Delete Concurrency",
+                "dynamic": false,
+                "info": "Optional concurrency level for bulk delete operations.",
+                "list": false,
+                "name": "bulk_delete_concurrency",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": ""
+              },
+              "bulk_insert_batch_concurrency": {
+                "advanced": true,
+                "display_name": "Bulk Insert Batch Concurrency",
+                "dynamic": false,
+                "info": "Optional concurrency level for bulk insert operations.",
+                "list": false,
+                "name": "bulk_insert_batch_concurrency",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": ""
+              },
+              "bulk_insert_overwrite_concurrency": {
+                "advanced": true,
+                "display_name": "Bulk Insert Overwrite Concurrency",
+                "dynamic": false,
+                "info": "Optional concurrency level for bulk insert operations that overwrite existing data.",
+                "list": false,
+                "name": "bulk_insert_overwrite_concurrency",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": ""
+              },
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "from loguru import logger\n\nfrom langflow.base.vectorstores.model import LCVectorStoreComponent\nfrom langflow.io import BoolInput, DropdownInput, HandleInput, IntInput, MultilineInput, SecretStrInput, StrInput, DataInput\nfrom langflow.schema import Data\n\n\nclass AstraVectorStoreComponent(LCVectorStoreComponent):\n    display_name: str = \"Astra DB Vector Store\"\n    description: str = \"Implementation of Vector Store using Astra DB with search capabilities\"\n    documentation: str = \"https://python.langchain.com/docs/integrations/vectorstores/astradb\"\n    icon: str = \"AstraDB\"\n\n    inputs = [\n        StrInput(\n            name=\"collection_name\",\n            display_name=\"Collection Name\",\n            info=\"The name of the collection within Astra DB where the vectors will be stored.\",\n        ),\n        SecretStrInput(\n            name=\"token\",\n            display_name=\"Astra DB Application Token\",\n            info=\"Authentication token for accessing Astra DB.\",\n            value=\"ASTRA_DB_APPLICATION_TOKEN\",\n        ),\n        SecretStrInput(\n            name=\"api_endpoint\",\n            display_name=\"API Endpoint\",\n            info=\"API endpoint URL for the Astra DB service.\",\n            value=\"ASTRA_DB_API_ENDPOINT\",\n        ),\n        DataInput(\n            name=\"vector_store_inputs\",\n            display_name=\"Vector Store Inputs\",\n            is_list=True,\n        ),\n        HandleInput(\n            name=\"embedding\",\n            display_name=\"Embedding\",\n            input_types=[\"Embeddings\", \"dict\"],\n        ),\n        StrInput(\n            name=\"namespace\",\n            display_name=\"Namespace\",\n            info=\"Optional namespace within Astra DB to use for the collection.\",\n            advanced=True,\n        ),\n        DropdownInput(\n            name=\"metric\",\n            display_name=\"Metric\",\n            info=\"Optional distance metric for vector comparisons in the vector store.\",\n            options=[\"cosine\", \"dot_product\", \"euclidean\"],\n            advanced=True,\n        ),\n        IntInput(\n            name=\"batch_size\",\n            display_name=\"Batch Size\",\n            info=\"Optional number of data to process in a single batch.\",\n            advanced=True,\n        ),\n        IntInput(\n            name=\"bulk_insert_batch_concurrency\",\n            display_name=\"Bulk Insert Batch Concurrency\",\n            info=\"Optional concurrency level for bulk insert operations.\",\n            advanced=True,\n        ),\n        IntInput(\n            name=\"bulk_insert_overwrite_concurrency\",\n            display_name=\"Bulk Insert Overwrite Concurrency\",\n            info=\"Optional concurrency level for bulk insert operations that overwrite existing data.\",\n            advanced=True,\n        ),\n        IntInput(\n            name=\"bulk_delete_concurrency\",\n            display_name=\"Bulk Delete Concurrency\",\n            info=\"Optional concurrency level for bulk delete operations.\",\n            advanced=True,\n        ),\n        DropdownInput(\n            name=\"setup_mode\",\n            display_name=\"Setup Mode\",\n            info=\"Configuration mode for setting up the vector store, with options like 'Sync', 'Async', or 'Off'.\",\n            options=[\"Sync\", \"Async\", \"Off\"],\n            advanced=True,\n            value=\"Sync\",\n        ),\n        BoolInput(\n            name=\"pre_delete_collection\",\n            display_name=\"Pre Delete Collection\",\n            info=\"Boolean flag to determine whether to delete the collection before creating a new one.\",\n            advanced=True,\n        ),\n        StrInput(\n            name=\"metadata_indexing_include\",\n            display_name=\"Metadata Indexing Include\",\n            info=\"Optional list of metadata fields to include in the indexing.\",\n            advanced=True,\n        ),\n        StrInput(\n            name=\"metadata_indexing_exclude\",\n            display_name=\"Metadata Indexing Exclude\",\n            info=\"Optional list of metadata fields to exclude from the indexing.\",\n            advanced=True,\n        ),\n        StrInput(\n            name=\"collection_indexing_policy\",\n            display_name=\"Collection Indexing Policy\",\n            info=\"Optional dictionary defining the indexing policy for the collection.\",\n            advanced=True,\n        ),\n        BoolInput(\n            name=\"add_to_vector_store\",\n            display_name=\"Add to Vector Store\",\n            info=\"If true, the Vector Store Inputs will be added to the Vector Store.\",\n        ),\n        MultilineInput(\n            name=\"search_input\",\n            display_name=\"Search Input\",\n        ),\n        DropdownInput(\n            name=\"search_type\",\n            display_name=\"Search Type\",\n            options=[\"Similarity\", \"MMR\"],\n            value=\"Similarity\",\n        ),\n        IntInput(\n            name=\"number_of_results\",\n            display_name=\"Number of Results\",\n            info=\"Number of results to return.\",\n            advanced=True,\n            value=4,\n        ),\n    ]\n\n    def build_vector_store(self):\n        try:\n            from langchain_astradb import AstraDBVectorStore\n            from langchain_astradb.utils.astradb import SetupMode\n        except ImportError:\n            raise ImportError(\n                \"Could not import langchain Astra DB integration package. \"\n                \"Please install it with `pip install langchain-astradb`.\"\n            )\n\n        try:\n            if not self.setup_mode:\n                self.setup_mode = self._inputs[\"setup_mode\"].options[0]\n\n            setup_mode_value = SetupMode[self.setup_mode.upper()]\n        except KeyError:\n            raise ValueError(f\"Invalid setup mode: {self.setup_mode}\")\n\n        if isinstance(self.embedding, dict):\n            embedding_dict = {\"embedding\": self.embedding}\n        else:\n            embedding_dict = self.embedding.to_dict()\n        vector_store_kwargs = {\n            **embedding_dict,\n            \"collection_name\": self.collection_name,\n            \"token\": self.token,\n            \"api_endpoint\": self.api_endpoint,\n            \"namespace\": self.namespace or None,\n            \"metric\": self.metric or None,\n            \"batch_size\": self.batch_size or None,\n            \"bulk_insert_batch_concurrency\": self.bulk_insert_batch_concurrency or None,\n            \"bulk_insert_overwrite_concurrency\": self.bulk_insert_overwrite_concurrency or None,\n            \"bulk_delete_concurrency\": self.bulk_delete_concurrency or None,\n            \"setup_mode\": setup_mode_value,\n            \"pre_delete_collection\": self.pre_delete_collection or False,\n        }\n\n        if self.metadata_indexing_include:\n            vector_store_kwargs[\"metadata_indexing_include\"] = self.metadata_indexing_include\n        elif self.metadata_indexing_exclude:\n            vector_store_kwargs[\"metadata_indexing_exclude\"] = self.metadata_indexing_exclude\n        elif self.collection_indexing_policy:\n            vector_store_kwargs[\"collection_indexing_policy\"] = self.collection_indexing_policy\n\n        try:\n            vector_store = AstraDBVectorStore(**vector_store_kwargs)\n        except Exception as e:\n            raise ValueError(f\"Error initializing AstraDBVectorStore: {str(e)}\") from e\n\n        if self.add_to_vector_store:\n            self._add_documents_to_vector_store(vector_store)\n\n        return vector_store\n\n    def build_base_retriever(self):\n        vector_store = self.build_vector_store()\n        self.status = self._astradb_collection_to_data(vector_store.collection)\n        return vector_store\n\n    def _add_documents_to_vector_store(self, vector_store):\n        documents = []\n        for _input in self.vector_store_inputs or []:\n            if isinstance(_input, Data):\n                documents.append(_input.to_lc_document())\n            else:\n                raise ValueError(\"Vector Store Inputs must be Data objects.\")\n\n        if documents and self.embedding is not None:\n            logger.debug(f\"Adding {len(documents)} documents to the Vector Store.\")\n            try:\n                vector_store.add_documents(documents)\n            except Exception as e:\n                raise ValueError(f\"Error adding documents to AstraDBVectorStore: {str(e)}\") from e\n        else:\n            logger.debug(\"No documents to add to the Vector Store.\")\n\n    def search_documents(self):\n        vector_store = self.build_vector_store()\n\n        logger.debug(f\"Search input: {self.search_input}\")\n        logger.debug(f\"Search type: {self.search_type}\")\n        logger.debug(f\"Number of results: {self.number_of_results}\")\n\n        if self.search_input and isinstance(self.search_input, str) and self.search_input.strip():\n            try:\n                if self.search_type == \"Similarity\":\n                    docs = vector_store.similarity_search(\n                        query=self.search_input,\n                        k=self.number_of_results,\n                    )\n                elif self.search_type == \"MMR\":\n                    docs = vector_store.max_marginal_relevance_search(\n                        query=self.search_input,\n                        k=self.number_of_results,\n                    )\n                else:\n                    raise ValueError(f\"Invalid search type: {self.search_type}\")\n            except Exception as e:\n                raise ValueError(f\"Error performing search in AstraDBVectorStore: {str(e)}\") from e\n\n            logger.debug(f\"Retrieved documents: {len(docs)}\")\n\n            data = [Data.from_document(doc) for doc in docs]\n            logger.debug(f\"Converted documents to data: {len(data)}\")\n            self.status = data\n            return data\n        else:\n            logger.debug(\"No search input provided. Skipping search.\")\n            return []\n\n    def _astradb_collection_to_data(self, collection):\n        data = []\n        data_dict = collection.find()\n        if data_dict and \"data\" in data_dict:\n            data_dict = data_dict[\"data\"].get(\"documents\", [])\n\n        for item in data_dict:\n            data.append(Data(content=item[\"content\"]))\n        return data\n"
+              },
+              "collection_indexing_policy": {
+                "advanced": true,
+                "display_name": "Collection Indexing Policy",
+                "dynamic": false,
+                "info": "Optional dictionary defining the indexing policy for the collection.",
+                "list": false,
+                "load_from_db": false,
+                "name": "collection_indexing_policy",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "collection_name": {
+                "advanced": false,
+                "display_name": "Collection Name",
+                "dynamic": false,
+                "info": "The name of the collection within Astra DB where the vectors will be stored.",
+                "list": false,
+                "load_from_db": false,
+                "name": "collection_name",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "langflow"
+              },
+              "embedding": {
+                "advanced": false,
+                "display_name": "Embedding",
+                "dynamic": false,
+                "info": "",
+                "input_types": [
+                  "Embeddings",
+                  "dict"
+                ],
+                "list": false,
+                "name": "embedding",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "other",
+                "value": ""
+              },
+              "metadata_indexing_exclude": {
+                "advanced": true,
+                "display_name": "Metadata Indexing Exclude",
+                "dynamic": false,
+                "info": "Optional list of metadata fields to exclude from the indexing.",
+                "list": false,
+                "load_from_db": false,
+                "name": "metadata_indexing_exclude",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "metadata_indexing_include": {
+                "advanced": true,
+                "display_name": "Metadata Indexing Include",
+                "dynamic": false,
+                "info": "Optional list of metadata fields to include in the indexing.",
+                "list": false,
+                "load_from_db": false,
+                "name": "metadata_indexing_include",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "metric": {
+                "advanced": true,
+                "display_name": "Metric",
+                "dynamic": false,
+                "info": "Optional distance metric for vector comparisons in the vector store.",
+                "name": "metric",
+                "options": [
+                  "cosine",
+                  "dot_product",
+                  "euclidean"
+                ],
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "namespace": {
+                "advanced": true,
+                "display_name": "Namespace",
+                "dynamic": false,
+                "info": "Optional namespace within Astra DB to use for the collection.",
+                "list": false,
+                "load_from_db": false,
+                "name": "namespace",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "number_of_results": {
+                "advanced": true,
+                "display_name": "Number of Results",
+                "dynamic": false,
+                "info": "Number of results to return.",
+                "list": false,
+                "name": "number_of_results",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": 4
+              },
+              "pre_delete_collection": {
+                "advanced": true,
+                "display_name": "Pre Delete Collection",
+                "dynamic": false,
+                "info": "Boolean flag to determine whether to delete the collection before creating a new one.",
+                "list": false,
+                "name": "pre_delete_collection",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "bool",
+                "value": false
+              },
+              "search_input": {
+                "advanced": false,
+                "display_name": "Search Input",
+                "dynamic": false,
+                "info": "",
+                "input_types": [
+                  "Message",
+                  "str"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "search_input",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "search_type": {
+                "advanced": false,
+                "display_name": "Search Type",
+                "dynamic": false,
+                "info": "",
+                "name": "search_type",
+                "options": [
+                  "Similarity",
+                  "MMR"
+                ],
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "Similarity"
+              },
+              "setup_mode": {
+                "advanced": true,
+                "display_name": "Setup Mode",
+                "dynamic": false,
+                "info": "Configuration mode for setting up the vector store, with options like 'Sync', 'Async', or 'Off'.",
+                "name": "setup_mode",
+                "options": [
+                  "Sync",
+                  "Async",
+                  "Off"
+                ],
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "Sync"
+              },
+              "token": {
+                "advanced": false,
+                "display_name": "Astra DB Application Token",
+                "dynamic": false,
+                "info": "Authentication token for accessing Astra DB.",
+                "input_types": [],
+                "load_from_db": true,
+                "name": "token",
+                "password": true,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "ASTRA_DB_APPLICATION_TOKEN"
+              },
+              "vector_store_inputs": {
+                "advanced": false,
+                "display_name": "Vector Store Inputs",
+                "dynamic": false,
+                "info": "",
+                "input_types": [
+                  "Data"
+                ],
+                "list": true,
+                "name": "vector_store_inputs",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "other",
+                "value": ""
+              }
+            }
+          },
+          "type": "AstraDB"
+        },
+        "dragging": false,
+        "height": 917,
+        "id": "AstraDB-rXo8b",
+        "position": {
+          "x": 3329.7211874614477,
+          "y": 1559.774393811144
+        },
+        "positionAbsolute": {
+          "x": 3329.7211874614477,
+          "y": 1559.774393811144
+        },
+        "selected": true,
+        "type": "genericNode",
+        "width": 384
+      },
+      {
+        "data": {
+          "description": "Implementation of Vector Store using Astra DB with search capabilities",
+          "display_name": "Astra DB Vector Store",
+          "id": "AstraDB-61WgV",
+          "node": {
+            "base_classes": [
+              "Data"
+            ],
+            "beta": false,
+            "conditional_paths": [],
+            "custom_fields": {},
+            "description": "Implementation of Vector Store using Astra DB with search capabilities",
+            "display_name": "Astra DB Vector Store",
+            "documentation": "https://python.langchain.com/docs/integrations/vectorstores/astradb",
+            "edited": false,
+            "field_order": [
+              "collection_name",
+              "token",
+              "api_endpoint",
+              "vector_store_inputs",
+              "embedding",
+              "namespace",
+              "metric",
+              "batch_size",
+              "bulk_insert_batch_concurrency",
+              "bulk_insert_overwrite_concurrency",
+              "bulk_delete_concurrency",
+              "setup_mode",
+              "pre_delete_collection",
+              "metadata_indexing_include",
+              "metadata_indexing_exclude",
+              "collection_indexing_policy",
+              "add_to_vector_store",
+              "search_input",
+              "search_type",
+              "number_of_results"
+            ],
+            "frozen": false,
+            "icon": "AstraDB",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Retriever",
+                "method": "build_base_retriever",
+                "name": "base_retriever",
+                "selected": "Data",
+                "types": [
+                  "Data"
+                ],
+                "value": "__UNDEFINED__"
+              },
+              {
+                "cache": true,
+                "display_name": "Search Results",
+                "method": "search_documents",
+                "name": "search_results",
+                "selected": "Data",
+                "types": [
+                  "Data"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "pinned": false,
+            "template": {
+              "_type": "Component",
+              "add_to_vector_store": {
+                "advanced": false,
+                "display_name": "Add to Vector Store",
+                "dynamic": false,
+                "info": "If true, the Vector Store Inputs will be added to the Vector Store.",
+                "list": false,
+                "name": "add_to_vector_store",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "bool",
+                "value": true
+              },
+              "api_endpoint": {
+                "advanced": false,
+                "display_name": "API Endpoint",
+                "dynamic": false,
+                "info": "API endpoint URL for the Astra DB service.",
+                "input_types": [],
+                "load_from_db": true,
+                "name": "api_endpoint",
+                "password": true,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "ASTRA_DB_API_ENDPOINT"
+              },
+              "batch_size": {
+                "advanced": true,
+                "display_name": "Batch Size",
+                "dynamic": false,
+                "info": "Optional number of data to process in a single batch.",
+                "list": false,
+                "name": "batch_size",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": ""
+              },
+              "bulk_delete_concurrency": {
+                "advanced": true,
+                "display_name": "Bulk Delete Concurrency",
+                "dynamic": false,
+                "info": "Optional concurrency level for bulk delete operations.",
+                "list": false,
+                "name": "bulk_delete_concurrency",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": ""
+              },
+              "bulk_insert_batch_concurrency": {
+                "advanced": true,
+                "display_name": "Bulk Insert Batch Concurrency",
+                "dynamic": false,
+                "info": "Optional concurrency level for bulk insert operations.",
+                "list": false,
+                "name": "bulk_insert_batch_concurrency",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": ""
+              },
+              "bulk_insert_overwrite_concurrency": {
+                "advanced": true,
+                "display_name": "Bulk Insert Overwrite Concurrency",
+                "dynamic": false,
+                "info": "Optional concurrency level for bulk insert operations that overwrite existing data.",
+                "list": false,
+                "name": "bulk_insert_overwrite_concurrency",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": ""
+              },
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "from loguru import logger\n\nfrom langflow.base.vectorstores.model import LCVectorStoreComponent\nfrom langflow.io import BoolInput, DropdownInput, HandleInput, IntInput, MultilineInput, SecretStrInput, StrInput, DataInput\nfrom langflow.schema import Data\n\n\nclass AstraVectorStoreComponent(LCVectorStoreComponent):\n    display_name: str = \"Astra DB Vector Store\"\n    description: str = \"Implementation of Vector Store using Astra DB with search capabilities\"\n    documentation: str = \"https://python.langchain.com/docs/integrations/vectorstores/astradb\"\n    icon: str = \"AstraDB\"\n\n    inputs = [\n        StrInput(\n            name=\"collection_name\",\n            display_name=\"Collection Name\",\n            info=\"The name of the collection within Astra DB where the vectors will be stored.\",\n        ),\n        SecretStrInput(\n            name=\"token\",\n            display_name=\"Astra DB Application Token\",\n            info=\"Authentication token for accessing Astra DB.\",\n            value=\"ASTRA_DB_APPLICATION_TOKEN\",\n        ),\n        SecretStrInput(\n            name=\"api_endpoint\",\n            display_name=\"API Endpoint\",\n            info=\"API endpoint URL for the Astra DB service.\",\n            value=\"ASTRA_DB_API_ENDPOINT\",\n        ),\n        DataInput(\n            name=\"vector_store_inputs\",\n            display_name=\"Vector Store Inputs\",\n            is_list=True,\n        ),\n        HandleInput(\n            name=\"embedding\",\n            display_name=\"Embedding\",\n            input_types=[\"Embeddings\", \"dict\"],\n        ),\n        StrInput(\n            name=\"namespace\",\n            display_name=\"Namespace\",\n            info=\"Optional namespace within Astra DB to use for the collection.\",\n            advanced=True,\n        ),\n        DropdownInput(\n            name=\"metric\",\n            display_name=\"Metric\",\n            info=\"Optional distance metric for vector comparisons in the vector store.\",\n            options=[\"cosine\", \"dot_product\", \"euclidean\"],\n            advanced=True,\n        ),\n        IntInput(\n            name=\"batch_size\",\n            display_name=\"Batch Size\",\n            info=\"Optional number of data to process in a single batch.\",\n            advanced=True,\n        ),\n        IntInput(\n            name=\"bulk_insert_batch_concurrency\",\n            display_name=\"Bulk Insert Batch Concurrency\",\n            info=\"Optional concurrency level for bulk insert operations.\",\n            advanced=True,\n        ),\n        IntInput(\n            name=\"bulk_insert_overwrite_concurrency\",\n            display_name=\"Bulk Insert Overwrite Concurrency\",\n            info=\"Optional concurrency level for bulk insert operations that overwrite existing data.\",\n            advanced=True,\n        ),\n        IntInput(\n            name=\"bulk_delete_concurrency\",\n            display_name=\"Bulk Delete Concurrency\",\n            info=\"Optional concurrency level for bulk delete operations.\",\n            advanced=True,\n        ),\n        DropdownInput(\n            name=\"setup_mode\",\n            display_name=\"Setup Mode\",\n            info=\"Configuration mode for setting up the vector store, with options like 'Sync', 'Async', or 'Off'.\",\n            options=[\"Sync\", \"Async\", \"Off\"],\n            advanced=True,\n            value=\"Sync\",\n        ),\n        BoolInput(\n            name=\"pre_delete_collection\",\n            display_name=\"Pre Delete Collection\",\n            info=\"Boolean flag to determine whether to delete the collection before creating a new one.\",\n            advanced=True,\n        ),\n        StrInput(\n            name=\"metadata_indexing_include\",\n            display_name=\"Metadata Indexing Include\",\n            info=\"Optional list of metadata fields to include in the indexing.\",\n            advanced=True,\n        ),\n        StrInput(\n            name=\"metadata_indexing_exclude\",\n            display_name=\"Metadata Indexing Exclude\",\n            info=\"Optional list of metadata fields to exclude from the indexing.\",\n            advanced=True,\n        ),\n        StrInput(\n            name=\"collection_indexing_policy\",\n            display_name=\"Collection Indexing Policy\",\n            info=\"Optional dictionary defining the indexing policy for the collection.\",\n            advanced=True,\n        ),\n        BoolInput(\n            name=\"add_to_vector_store\",\n            display_name=\"Add to Vector Store\",\n            info=\"If true, the Vector Store Inputs will be added to the Vector Store.\",\n        ),\n        MultilineInput(\n            name=\"search_input\",\n            display_name=\"Search Input\",\n        ),\n        DropdownInput(\n            name=\"search_type\",\n            display_name=\"Search Type\",\n            options=[\"Similarity\", \"MMR\"],\n            value=\"Similarity\",\n        ),\n        IntInput(\n            name=\"number_of_results\",\n            display_name=\"Number of Results\",\n            info=\"Number of results to return.\",\n            advanced=True,\n            value=4,\n        ),\n    ]\n\n    def build_vector_store(self):\n        try:\n            from langchain_astradb import AstraDBVectorStore\n            from langchain_astradb.utils.astradb import SetupMode\n        except ImportError:\n            raise ImportError(\n                \"Could not import langchain Astra DB integration package. \"\n                \"Please install it with `pip install langchain-astradb`.\"\n            )\n\n        try:\n            if not self.setup_mode:\n                self.setup_mode = self._inputs[\"setup_mode\"].options[0]\n\n            setup_mode_value = SetupMode[self.setup_mode.upper()]\n        except KeyError:\n            raise ValueError(f\"Invalid setup mode: {self.setup_mode}\")\n\n        if isinstance(self.embedding, dict):\n            embedding_dict = {\"embedding\": self.embedding}\n        else:\n            embedding_dict = self.embedding.to_dict()\n        vector_store_kwargs = {\n            **embedding_dict,\n            \"collection_name\": self.collection_name,\n            \"token\": self.token,\n            \"api_endpoint\": self.api_endpoint,\n            \"namespace\": self.namespace or None,\n            \"metric\": self.metric or None,\n            \"batch_size\": self.batch_size or None,\n            \"bulk_insert_batch_concurrency\": self.bulk_insert_batch_concurrency or None,\n            \"bulk_insert_overwrite_concurrency\": self.bulk_insert_overwrite_concurrency or None,\n            \"bulk_delete_concurrency\": self.bulk_delete_concurrency or None,\n            \"setup_mode\": setup_mode_value,\n            \"pre_delete_collection\": self.pre_delete_collection or False,\n        }\n\n        if self.metadata_indexing_include:\n            vector_store_kwargs[\"metadata_indexing_include\"] = self.metadata_indexing_include\n        elif self.metadata_indexing_exclude:\n            vector_store_kwargs[\"metadata_indexing_exclude\"] = self.metadata_indexing_exclude\n        elif self.collection_indexing_policy:\n            vector_store_kwargs[\"collection_indexing_policy\"] = self.collection_indexing_policy\n\n        try:\n            vector_store = AstraDBVectorStore(**vector_store_kwargs)\n        except Exception as e:\n            raise ValueError(f\"Error initializing AstraDBVectorStore: {str(e)}\") from e\n\n        if self.add_to_vector_store:\n            self._add_documents_to_vector_store(vector_store)\n\n        return vector_store\n\n    def build_base_retriever(self):\n        vector_store = self.build_vector_store()\n        self.status = self._astradb_collection_to_data(vector_store.collection)\n        return vector_store\n\n    def _add_documents_to_vector_store(self, vector_store):\n        documents = []\n        for _input in self.vector_store_inputs or []:\n            if isinstance(_input, Data):\n                documents.append(_input.to_lc_document())\n            else:\n                raise ValueError(\"Vector Store Inputs must be Data objects.\")\n\n        if documents and self.embedding is not None:\n            logger.debug(f\"Adding {len(documents)} documents to the Vector Store.\")\n            try:\n                vector_store.add_documents(documents)\n            except Exception as e:\n                raise ValueError(f\"Error adding documents to AstraDBVectorStore: {str(e)}\") from e\n        else:\n            logger.debug(\"No documents to add to the Vector Store.\")\n\n    def search_documents(self):\n        vector_store = self.build_vector_store()\n\n        logger.debug(f\"Search input: {self.search_input}\")\n        logger.debug(f\"Search type: {self.search_type}\")\n        logger.debug(f\"Number of results: {self.number_of_results}\")\n\n        if self.search_input and isinstance(self.search_input, str) and self.search_input.strip():\n            try:\n                if self.search_type == \"Similarity\":\n                    docs = vector_store.similarity_search(\n                        query=self.search_input,\n                        k=self.number_of_results,\n                    )\n                elif self.search_type == \"MMR\":\n                    docs = vector_store.max_marginal_relevance_search(\n                        query=self.search_input,\n                        k=self.number_of_results,\n                    )\n                else:\n                    raise ValueError(f\"Invalid search type: {self.search_type}\")\n            except Exception as e:\n                raise ValueError(f\"Error performing search in AstraDBVectorStore: {str(e)}\") from e\n\n            logger.debug(f\"Retrieved documents: {len(docs)}\")\n\n            data = [Data.from_document(doc) for doc in docs]\n            logger.debug(f\"Converted documents to data: {len(data)}\")\n            self.status = data\n            return data\n        else:\n            logger.debug(\"No search input provided. Skipping search.\")\n            return []\n\n    def _astradb_collection_to_data(self, collection):\n        data = []\n        data_dict = collection.find()\n        if data_dict and \"data\" in data_dict:\n            data_dict = data_dict[\"data\"].get(\"documents\", [])\n\n        for item in data_dict:\n            data.append(Data(content=item[\"content\"]))\n        return data\n"
+              },
+              "collection_indexing_policy": {
+                "advanced": true,
+                "display_name": "Collection Indexing Policy",
+                "dynamic": false,
+                "info": "Optional dictionary defining the indexing policy for the collection.",
+                "list": false,
+                "load_from_db": false,
+                "name": "collection_indexing_policy",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "collection_name": {
+                "advanced": false,
+                "display_name": "Collection Name",
+                "dynamic": false,
+                "info": "The name of the collection within Astra DB where the vectors will be stored.",
+                "list": false,
+                "load_from_db": false,
+                "name": "collection_name",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "langflow"
+              },
+              "embedding": {
+                "advanced": false,
+                "display_name": "Embedding",
+                "dynamic": false,
+                "info": "",
+                "input_types": [
+                  "Embeddings",
+                  "dict"
+                ],
+                "list": false,
+                "name": "embedding",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "other",
+                "value": ""
+              },
+              "metadata_indexing_exclude": {
+                "advanced": true,
+                "display_name": "Metadata Indexing Exclude",
+                "dynamic": false,
+                "info": "Optional list of metadata fields to exclude from the indexing.",
+                "list": false,
+                "load_from_db": false,
+                "name": "metadata_indexing_exclude",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "metadata_indexing_include": {
+                "advanced": true,
+                "display_name": "Metadata Indexing Include",
+                "dynamic": false,
+                "info": "Optional list of metadata fields to include in the indexing.",
+                "list": false,
+                "load_from_db": false,
+                "name": "metadata_indexing_include",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "metric": {
+                "advanced": true,
+                "display_name": "Metric",
+                "dynamic": false,
+                "info": "Optional distance metric for vector comparisons in the vector store.",
+                "name": "metric",
+                "options": [
+                  "cosine",
+                  "dot_product",
+                  "euclidean"
+                ],
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "namespace": {
+                "advanced": true,
+                "display_name": "Namespace",
+                "dynamic": false,
+                "info": "Optional namespace within Astra DB to use for the collection.",
+                "list": false,
+                "load_from_db": false,
+                "name": "namespace",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "number_of_results": {
+                "advanced": true,
+                "display_name": "Number of Results",
+                "dynamic": false,
+                "info": "Number of results to return.",
+                "list": false,
+                "name": "number_of_results",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "int",
+                "value": 4
+              },
+              "pre_delete_collection": {
+                "advanced": true,
+                "display_name": "Pre Delete Collection",
+                "dynamic": false,
+                "info": "Boolean flag to determine whether to delete the collection before creating a new one.",
+                "list": false,
+                "name": "pre_delete_collection",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "bool",
+                "value": false
+              },
+              "search_input": {
+                "advanced": false,
+                "display_name": "Search Input",
+                "dynamic": false,
+                "info": "",
+                "input_types": [
+                  "Message",
+                  "str"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "search_input",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": ""
+              },
+              "search_type": {
+                "advanced": false,
+                "display_name": "Search Type",
+                "dynamic": false,
+                "info": "",
+                "name": "search_type",
+                "options": [
+                  "Similarity",
+                  "MMR"
+                ],
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "Similarity"
+              },
+              "setup_mode": {
+                "advanced": true,
+                "display_name": "Setup Mode",
+                "dynamic": false,
+                "info": "Configuration mode for setting up the vector store, with options like 'Sync', 'Async', or 'Off'.",
+                "name": "setup_mode",
+                "options": [
+                  "Sync",
+                  "Async",
+                  "Off"
+                ],
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "Sync"
+              },
+              "token": {
+                "advanced": false,
+                "display_name": "Astra DB Application Token",
+                "dynamic": false,
+                "info": "Authentication token for accessing Astra DB.",
+                "input_types": [],
+                "load_from_db": true,
+                "name": "token",
+                "password": true,
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "ASTRA_DB_APPLICATION_TOKEN"
+              },
+              "vector_store_inputs": {
+                "advanced": false,
+                "display_name": "Vector Store Inputs",
+                "dynamic": false,
+                "info": "",
+                "input_types": [
+                  "Data"
+                ],
+                "list": true,
+                "name": "vector_store_inputs",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "other",
+                "value": ""
+              }
+            }
+          },
+          "type": "AstraDB"
+        },
+        "dragging": false,
+        "height": 917,
+        "id": "AstraDB-61WgV",
+        "position": {
+          "x": 1298.4611042465333,
+          "y": 160.7181472642742
+        },
+        "positionAbsolute": {
+          "x": 1298.4611042465333,
+          "y": 160.7181472642742
+        },
+        "selected": false,
+        "type": "genericNode",
+        "width": 384
+      },
+      {
+        "data": {
+          "id": "ParseData-DXlFW",
+          "node": {
+            "base_classes": [
+              "Message"
+            ],
+            "beta": false,
+            "conditional_paths": [],
+            "custom_fields": {},
+            "description": "Convert Data into plain text following a specified template.",
+            "display_name": "Parse Data",
+            "documentation": "",
+            "field_order": [
+              "data",
+              "template",
+              "sep"
+            ],
+            "frozen": false,
+            "icon": "braces",
+            "output_types": [],
+            "outputs": [
+              {
+                "cache": true,
+                "display_name": "Text",
+                "method": "parse_data",
+                "name": "text",
+                "selected": "Message",
+                "types": [
+                  "Message"
+                ],
+                "value": "__UNDEFINED__"
+              }
+            ],
+            "pinned": false,
+            "template": {
+              "_type": "Component",
+              "code": {
+                "advanced": true,
+                "dynamic": true,
+                "fileTypes": [],
+                "file_path": "",
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "code",
+                "password": false,
+                "placeholder": "",
+                "required": true,
+                "show": true,
+                "title_case": false,
+                "type": "code",
+                "value": "from langflow.custom import Component\nfrom langflow.helpers.data import data_to_text\nfrom langflow.io import DataInput, MultilineInput, Output, StrInput\nfrom langflow.schema.message import Message\n\n\nclass ParseDataComponent(Component):\n    display_name = \"Parse Data\"\n    description = \"Convert Data into plain text following a specified template.\"\n    icon = \"braces\"\n\n    inputs = [\n        DataInput(name=\"data\", display_name=\"Data\", info=\"The data to convert to text.\"),\n        MultilineInput(\n            name=\"template\",\n            display_name=\"Template\",\n            info=\"The template to use for formatting the data. It can contain the keys {text}, {data} or any other key in the Data.\",\n            value=\"{text}\",\n        ),\n        StrInput(name=\"sep\", display_name=\"Separator\", advanced=True, value=\"\\n\"),\n    ]\n\n    outputs = [\n        Output(display_name=\"Text\", name=\"text\", method=\"parse_data\"),\n    ]\n\n    def parse_data(self) -> Message:\n        data = self.data if isinstance(self.data, list) else [self.data]\n        template = self.template\n\n        result_string = data_to_text(template, data, sep=self.sep)\n        self.status = result_string\n        return Message(text=result_string)\n"
+              },
+              "data": {
+                "advanced": false,
+                "display_name": "Data",
+                "dynamic": false,
+                "info": "The data to convert to text.",
+                "input_types": [
+                  "Data"
+                ],
+                "list": false,
+                "name": "data",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "other",
+                "value": ""
+              },
+              "sep": {
+                "advanced": true,
+                "display_name": "Separator",
+                "dynamic": false,
+                "info": "",
+                "list": false,
+                "load_from_db": false,
+                "name": "sep",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "---"
+              },
+              "template": {
+                "advanced": false,
+                "display_name": "Template",
+                "dynamic": false,
+                "info": "The template to use for formatting the data. It can contain the keys {text}, {data} or any other key in the Data.",
+                "input_types": [
+                  "Message",
+                  "str"
+                ],
+                "list": false,
+                "load_from_db": false,
+                "multiline": true,
+                "name": "template",
+                "placeholder": "",
+                "required": false,
+                "show": true,
+                "title_case": false,
+                "type": "str",
+                "value": "{text}"
+              }
+            }
+          },
+          "type": "ParseData"
+        },
+        "dragging": false,
+        "height": 385,
+        "id": "ParseData-DXlFW",
+        "position": {
+          "x": 1911.4866480237615,
+          "y": 566.903831987901
+        },
+        "positionAbsolute": {
+          "x": 1911.4866480237615,
+          "y": 566.903831987901
+        },
+        "selected": false,
+        "type": "genericNode",
+        "width": 384
+      }
+    ],
+    "viewport": {
+      "x": -145.46470046912816,
+      "y": 67.11009748758056,
+      "zoom": 0.2936356220661912
+    }
+  },
+  "description": "Visit https://docs.langflow.org/tutorials/rag-with-astradb for a detailed guide of this project.\nThis project give you both Ingestion and RAG in a single file. You'll need to visit https://astra.datastax.com/ to create an Astra DB instance, your Token and grab an API Endpoint.\nRunning this project requires you to add a file in the Files component, then define a Collection Name and click on the Play icon on the Astra DB component. \n\nAfter the ingestion ends you are ready to click on the Run button at the lower left corner and start asking questions about your data.",
+  "endpoint_name": "None-2",
+  "id": "0433f955-c8cc-4d24-a2bf-e8cd0d11f99c",
+  "is_component": false,
+  "last_tested_version": "1.0.0a59",
+  "name": "Vector Store RAG"
+}
\ No newline at end of file
diff --git a/src/backend/base/langflow/inputs/__init__.py b/src/backend/base/langflow/inputs/__init__.py
new file mode 100644
index 00000000000..ffa3f4486cc
--- /dev/null
+++ b/src/backend/base/langflow/inputs/__init__.py
@@ -0,0 +1,35 @@
+from .inputs import (
+    BoolInput,
+    DataInput,
+    DictInput,
+    DropdownInput,
+    FileInput,
+    FloatInput,
+    HandleInput,
+    IntInput,
+    MessageInput,
+    MessageTextInput,
+    MultilineInput,
+    NestedDictInput,
+    PromptInput,
+    SecretStrInput,
+    StrInput,
+)
+
+__all__ = [
+    "BoolInput",
+    "DataInput",
+    "DictInput",
+    "DropdownInput",
+    "FileInput",
+    "FloatInput",
+    "HandleInput",
+    "IntInput",
+    "MessageInput",
+    "MultilineInput",
+    "NestedDictInput",
+    "PromptInput",
+    "SecretStrInput",
+    "StrInput",
+    "MessageTextInput",
+]
diff --git a/src/backend/base/langflow/inputs/input_mixin.py b/src/backend/base/langflow/inputs/input_mixin.py
new file mode 100644
index 00000000000..411c98190f2
--- /dev/null
+++ b/src/backend/base/langflow/inputs/input_mixin.py
@@ -0,0 +1,137 @@
+from enum import Enum
+from typing import Annotated, Any, Optional
+
+from langflow.field_typing.range_spec import RangeSpec
+from langflow.inputs.validators import CoalesceBool
+from pydantic import BaseModel, ConfigDict, Field, PlainSerializer, field_validator, model_serializer
+
+
+class FieldTypes(str, Enum):
+    TEXT = "str"
+    INTEGER = "int"
+    PASSWORD = "str"
+    FLOAT = "float"
+    BOOLEAN = "bool"
+    DICT = "dict"
+    NESTED_DICT = "NestedDict"
+    FILE = "file"
+    PROMPT = "prompt"
+    OTHER = "other"
+
+
+SerializableFieldTypes = Annotated[FieldTypes, PlainSerializer(lambda v: v.value, return_type=str)]
+
+
+# Base mixin for common input field attributes and methods
+class BaseInputMixin(BaseModel, validate_assignment=True):
+    model_config = ConfigDict(arbitrary_types_allowed=True, extra="forbid")
+
+    field_type: Optional[SerializableFieldTypes] = Field(default=FieldTypes.TEXT)
+
+    required: bool = False
+    """Specifies if the field is required. Defaults to False."""
+
+    placeholder: str = ""
+    """A placeholder string for the field. Default is an empty string."""
+
+    show: bool = True
+    """Should the field be shown. Defaults to True."""
+
+    value: Any = ""
+    """The value of the field. Default is an empty string."""
+
+    name: Optional[str] = None
+    """Name of the field. Default is an empty string."""
+
+    display_name: Optional[str] = None
+    """Display name of the field. Defaults to None."""
+
+    advanced: bool = False
+    """Specifies if the field will an advanced parameter (hidden). Defaults to False."""
+
+    input_types: Optional[list[str]] = None
+    """List of input types for the handle when the field has more than one type. Default is an empty list."""
+
+    dynamic: bool = False
+    """Specifies if the field is dynamic. Defaults to False."""
+
+    info: Optional[str] = ""
+    """Additional information about the field to be shown in the tooltip. Defaults to an empty string."""
+
+    real_time_refresh: Optional[bool] = None
+    """Specifies if the field should have real time refresh. `refresh_button` must be False. Defaults to None."""
+
+    refresh_button: Optional[bool] = None
+    """Specifies if the field should have a refresh button. Defaults to False."""
+    refresh_button_text: Optional[str] = None
+    """Specifies the text for the refresh button. Defaults to None."""
+
+    title_case: bool = False
+    """Specifies if the field should be displayed in title case. Defaults to True."""
+
+    def to_dict(self):
+        return self.model_dump(exclude_none=True, by_alias=True)
+
+    @field_validator("field_type", mode="before")
+    @classmethod
+    def validate_field_type(cls, v):
+        if v not in FieldTypes:
+            return FieldTypes.OTHER
+        return FieldTypes(v)
+
+    @model_serializer(mode="wrap")
+    def serialize_model(self, handler):
+        dump = handler(self)
+        if "field_type" in dump:
+            dump["type"] = dump.pop("field_type")
+        return dump
+
+
+class InputTraceMixin(BaseModel):
+    trace_as_input: bool = True
+
+
+class MetadataTraceMixin(BaseModel):
+    trace_as_metadata: bool = True
+
+
+# Mixin for input fields that can be listable
+class ListableInputMixin(BaseModel):
+    is_list: bool = Field(default=False, serialization_alias="list")
+
+
+# Specific mixin for fields needing database interaction
+class DatabaseLoadMixin(BaseModel):
+    load_from_db: bool = Field(default=True)
+
+
+# Specific mixin for fields needing file interaction
+class FileMixin(BaseModel):
+    file_path: Optional[str] = Field(default="")
+    file_types: list[str] = Field(default=[], serialization_alias="fileTypes")
+
+    @field_validator("file_types")
+    @classmethod
+    def validate_file_types(cls, v):
+        if not isinstance(v, list):
+            raise ValueError("file_types must be a list")
+        # types should be a list of extensions without the dot
+        for file_type in v:
+            if not isinstance(file_type, str):
+                raise ValueError("file_types must be a list of strings")
+            if file_type.startswith("."):
+                raise ValueError("file_types should not start with a dot")
+        return v
+
+
+class RangeMixin(BaseModel):
+    range_spec: Optional[RangeSpec] = None
+
+
+class DropDownMixin(BaseModel):
+    options: Optional[list[str]] = None
+    """List of options for the field. Only used when is_list=True. Default is an empty list."""
+
+
+class MultilineMixin(BaseModel):
+    multiline: CoalesceBool = True
diff --git a/src/backend/base/langflow/inputs/inputs.py b/src/backend/base/langflow/inputs/inputs.py
new file mode 100644
index 00000000000..b88c5db7a27
--- /dev/null
+++ b/src/backend/base/langflow/inputs/inputs.py
@@ -0,0 +1,322 @@
+from typing import Any, AsyncIterator, Iterator, Optional, Union
+
+from loguru import logger
+from pydantic import Field, field_validator
+
+from langflow.inputs.validators import CoalesceBool
+from langflow.schema.data import Data
+from langflow.schema.message import Message
+
+from .input_mixin import (
+    BaseInputMixin,
+    DatabaseLoadMixin,
+    DropDownMixin,
+    FieldTypes,
+    FileMixin,
+    InputTraceMixin,
+    ListableInputMixin,
+    MetadataTraceMixin,
+    MultilineMixin,
+    RangeMixin,
+    SerializableFieldTypes,
+)
+
+
+class HandleInput(BaseInputMixin, ListableInputMixin, MetadataTraceMixin):
+    """
+    Represents an Input that has a Handle to a specific type (e.g. BaseLanguageModel, BaseRetriever, etc.)
+
+    This class inherits from the `BaseInputMixin` and `ListableInputMixin` classes.
+
+    Attributes:
+        input_types (list[str]): A list of input types.
+        field_type (Optional[SerializableFieldTypes]): The field type of the input.
+    """
+
+    input_types: list[str] = Field(default_factory=list)
+    field_type: Optional[SerializableFieldTypes] = FieldTypes.OTHER
+
+
+class DataInput(HandleInput, InputTraceMixin):
+    """
+    Represents an Input that has a Handle that receives a Data object.
+
+    Attributes:
+        input_types (list[str]): A list of input types supported by this data input.
+    """
+
+    input_types: list[str] = ["Data"]
+
+
+class PromptInput(BaseInputMixin, ListableInputMixin, InputTraceMixin):
+    field_type: Optional[SerializableFieldTypes] = FieldTypes.PROMPT
+
+
+# Applying mixins to a specific input type
+class StrInput(BaseInputMixin, ListableInputMixin, DatabaseLoadMixin, MetadataTraceMixin):
+    field_type: Optional[SerializableFieldTypes] = FieldTypes.TEXT
+    load_from_db: CoalesceBool = False
+    """Defines if the field will allow the user to open a text editor. Default is False."""
+
+    @staticmethod
+    def _validate_value(v: Any, _info):
+        """
+        Validates the given value and returns the processed value.
+
+        Args:
+            v (Any): The value to be validated.
+            _info: Additional information about the input.
+
+        Returns:
+            The processed value.
+
+        Raises:
+            ValueError: If the value is not of a valid type or if the input is missing a required key.
+        """
+        if not isinstance(v, str) and v is not None:
+            if _info.data.get("input_types") and v.__class__.__name__ not in _info.data.get("input_types"):
+                logger.warning(f"Invalid value type {type(v)}")
+        return v
+
+    @field_validator("value")
+    @classmethod
+    def validate_value(cls, v: Any, _info):
+        """
+        Validates the given value and returns the processed value.
+
+        Args:
+            v (Any): The value to be validated.
+            _info: Additional information about the input.
+
+        Returns:
+            The processed value.
+
+        Raises:
+            ValueError: If the value is not of a valid type or if the input is missing a required key.
+        """
+        is_list = _info.data["is_list"]
+        value = None
+        if is_list:
+            value = [cls._validate_value(vv, _info) for vv in v]
+        else:
+            value = cls._validate_value(v, _info)
+        return value
+
+
+class MessageInput(StrInput, InputTraceMixin):
+    input_types: list[str] = ["Message"]
+
+    @staticmethod
+    def _validate_value(v: Any, _info):
+        # If v is a instance of Message, then its fine
+        if isinstance(v, Message):
+            return v
+        if isinstance(v, str):
+            return Message(text=v)
+        raise ValueError(f"Invalid value type {type(v)}")
+
+
+class MessageTextInput(StrInput, MetadataTraceMixin, InputTraceMixin):
+    """
+    Represents a text input component for the Langflow system.
+
+    This component is used to handle text inputs in the Langflow system. It provides methods for validating and processing text values.
+
+    Attributes:
+        input_types (list[str]): A list of input types that this component supports. In this case, it supports the "Message" input type.
+    """
+
+    input_types: list[str] = ["Message"]
+
+    @staticmethod
+    def _validate_value(v: Any, _info):
+        """
+        Validates the given value and returns the processed value.
+
+        Args:
+            v (Any): The value to be validated.
+            _info: Additional information about the input.
+
+        Returns:
+            The processed value.
+
+        Raises:
+            ValueError: If the value is not of a valid type or if the input is missing a required key.
+        """
+        value: str | AsyncIterator | Iterator | None = None
+        if isinstance(v, str):
+            value = v
+        elif isinstance(v, Message):
+            value = v.text
+        elif isinstance(v, Data):
+            if v.text_key in v.data:
+                value = v.data[v.text_key]
+            else:
+                keys = ", ".join(v.data.keys())
+                input_name = _info.data["name"]
+                raise ValueError(
+                    f"The input to '{input_name}' must contain the key '{v.text_key}'."
+                    f"You can set `text_key` to one of the following keys: {keys} or set the value using another Component."
+                )
+        elif isinstance(v, (AsyncIterator, Iterator)):
+            value = v
+        else:
+            raise ValueError(f"Invalid value type {type(v)}")
+        return value
+
+
+class MultilineInput(MessageTextInput, MultilineMixin, InputTraceMixin):
+    """
+    Represents a multiline input field.
+
+    Attributes:
+        field_type (Optional[SerializableFieldTypes]): The type of the field. Defaults to FieldTypes.TEXT.
+        multiline (CoalesceBool): Indicates whether the input field should support multiple lines. Defaults to True.
+    """
+
+    field_type: Optional[SerializableFieldTypes] = FieldTypes.TEXT
+    multiline: CoalesceBool = True
+
+
+class SecretStrInput(BaseInputMixin, DatabaseLoadMixin):
+    """
+    Represents a field with password field type.
+
+    This class inherits from `BaseInputMixin` and `DatabaseLoadMixin`.
+
+    Attributes:
+        field_type (Optional[SerializableFieldTypes]): The field type of the input. Defaults to `FieldTypes.PASSWORD`.
+        password (CoalesceBool): A boolean indicating whether the input is a password. Defaults to `True`.
+        input_types (list[str]): A list of input types associated with this input. Defaults to an empty list.
+    """
+
+    field_type: Optional[SerializableFieldTypes] = FieldTypes.PASSWORD
+    password: CoalesceBool = Field(default=True)
+    input_types: list[str] = []
+    load_from_db: CoalesceBool = True
+
+
+class IntInput(BaseInputMixin, ListableInputMixin, RangeMixin, MetadataTraceMixin):
+    """
+    Represents an integer field.
+
+    This class represents an integer input and provides functionality for handling integer values.
+    It inherits from the `BaseInputMixin`, `ListableInputMixin`, and `RangeMixin` classes.
+
+    Attributes:
+        field_type (Optional[SerializableFieldTypes]): The field type of the input. Defaults to FieldTypes.INTEGER.
+    """
+
+    field_type: Optional[SerializableFieldTypes] = FieldTypes.INTEGER
+
+
+class FloatInput(BaseInputMixin, ListableInputMixin, RangeMixin, MetadataTraceMixin):
+    """
+    Represents a float field.
+
+    This class represents a float input and provides functionality for handling float values.
+    It inherits from the `BaseInputMixin`, `ListableInputMixin`, and `RangeMixin` classes.
+
+    Attributes:
+        field_type (Optional[SerializableFieldTypes]): The field type of the input. Defaults to FieldTypes.FLOAT.
+    """
+
+    field_type: Optional[SerializableFieldTypes] = FieldTypes.FLOAT
+
+
+class BoolInput(BaseInputMixin, ListableInputMixin, MetadataTraceMixin):
+    """
+    Represents a boolean field.
+
+    This class represents a boolean input and provides functionality for handling boolean values.
+    It inherits from the `BaseInputMixin` and `ListableInputMixin` classes.
+
+    Attributes:
+        field_type (Optional[SerializableFieldTypes]): The field type of the input. Defaults to FieldTypes.BOOLEAN.
+        value (CoalesceBool): The value of the boolean input.
+    """
+
+    field_type: Optional[SerializableFieldTypes] = FieldTypes.BOOLEAN
+    value: CoalesceBool = False
+
+
+class NestedDictInput(BaseInputMixin, ListableInputMixin, MetadataTraceMixin, InputTraceMixin):
+    """
+    Represents a nested dictionary field.
+
+    This class represents a nested dictionary input and provides functionality for handling dictionary values.
+    It inherits from the `BaseInputMixin` and `ListableInputMixin` classes.
+
+    Attributes:
+        field_type (Optional[SerializableFieldTypes]): The field type of the input. Defaults to FieldTypes.NESTED_DICT.
+        value (Optional[dict]): The value of the input. Defaults to an empty dictionary.
+    """
+
+    field_type: Optional[SerializableFieldTypes] = FieldTypes.NESTED_DICT
+    value: Optional[dict] = {}
+
+
+class DictInput(BaseInputMixin, ListableInputMixin, InputTraceMixin):
+    """
+    Represents a dictionary field.
+
+    This class represents a dictionary input and provides functionality for handling dictionary values.
+    It inherits from the `BaseInputMixin` and `ListableInputMixin` classes.
+
+    Attributes:
+        field_type (Optional[SerializableFieldTypes]): The field type of the input. Defaults to FieldTypes.DICT.
+        value (Optional[dict]): The value of the dictionary input. Defaults to an empty dictionary.
+    """
+
+    field_type: Optional[SerializableFieldTypes] = FieldTypes.DICT
+    value: Optional[dict] = {}
+
+
+class DropdownInput(BaseInputMixin, DropDownMixin, MetadataTraceMixin):
+    """
+    Represents a dropdown input field.
+
+    This class represents a dropdown input field and provides functionality for handling dropdown values.
+    It inherits from the `BaseInputMixin` and `DropDownMixin` classes.
+
+    Attributes:
+        field_type (Optional[SerializableFieldTypes]): The field type of the input. Defaults to FieldTypes.TEXT.
+        options (Optional[Union[list[str], Callable]]): List of options for the field. Only used when is_list=True.
+            Default is None.
+    """
+
+    field_type: Optional[SerializableFieldTypes] = FieldTypes.TEXT
+    options: list[str] = Field(default_factory=list)
+
+
+class FileInput(BaseInputMixin, ListableInputMixin, FileMixin, MetadataTraceMixin):
+    """
+    Represents a file field.
+
+    This class represents a file input and provides functionality for handling file values.
+    It inherits from the `BaseInputMixin`, `ListableInputMixin`, and `FileMixin` classes.
+
+    Attributes:
+        field_type (Optional[SerializableFieldTypes]): The field type of the input. Defaults to FieldTypes.FILE.
+    """
+
+    field_type: Optional[SerializableFieldTypes] = FieldTypes.FILE
+
+
+InputTypes = Union[
+    BoolInput,
+    DataInput,
+    DictInput,
+    DropdownInput,
+    FileInput,
+    FloatInput,
+    HandleInput,
+    IntInput,
+    MultilineInput,
+    NestedDictInput,
+    PromptInput,
+    SecretStrInput,
+    StrInput,
+    MessageTextInput,
+    MessageInput,
+]
diff --git a/src/backend/base/langflow/inputs/validators.py b/src/backend/base/langflow/inputs/validators.py
new file mode 100644
index 00000000000..7056265f89a
--- /dev/null
+++ b/src/backend/base/langflow/inputs/validators.py
@@ -0,0 +1,19 @@
+from typing import Annotated
+
+from pydantic import PlainValidator
+
+
+def validate_boolean(value: bool) -> bool:
+    valid_trues = ["True", "true", "1", "yes"]
+    valid_falses = ["False", "false", "0", "no"]
+    if value in valid_trues:
+        return True
+    if value in valid_falses:
+        return False
+    if isinstance(value, bool):
+        return value
+    else:
+        raise ValueError("Value must be a boolean")
+
+
+CoalesceBool = Annotated[bool, PlainValidator(validate_boolean)]
diff --git a/src/backend/langflow/interface/retrievers/__init__.py b/src/backend/base/langflow/interface/__init__.py
similarity index 100%
rename from src/backend/langflow/interface/retrievers/__init__.py
rename to src/backend/base/langflow/interface/__init__.py
diff --git a/src/backend/base/langflow/interface/importing/__init__.py b/src/backend/base/langflow/interface/importing/__init__.py
new file mode 100644
index 00000000000..066653f49d5
--- /dev/null
+++ b/src/backend/base/langflow/interface/importing/__init__.py
@@ -0,0 +1,5 @@
+# This module is used to import any langchain class by name.
+
+ALL = [
+    "import_by_type",
+]
diff --git a/src/backend/base/langflow/interface/importing/utils.py b/src/backend/base/langflow/interface/importing/utils.py
new file mode 100644
index 00000000000..963a51ccb8a
--- /dev/null
+++ b/src/backend/base/langflow/interface/importing/utils.py
@@ -0,0 +1,25 @@
+# This module is used to import any langchain class by name.
+
+import importlib
+from typing import Any
+
+
+def import_module(module_path: str) -> Any:
+    """Import module from module path"""
+    if "from" not in module_path:
+        # Import the module using the module path
+        return importlib.import_module(module_path)
+    # Split the module path into its components
+    _, module_path, _, object_name = module_path.split()
+
+    # Import the module using the module path
+    module = importlib.import_module(module_path)
+
+    return getattr(module, object_name)
+
+
+def import_class(class_path: str) -> Any:
+    """Import class from class path"""
+    module_path, class_name = class_path.rsplit(".", 1)
+    module = import_module(module_path)
+    return getattr(module, class_name)
diff --git a/src/backend/langflow/interface/toolkits/__init__.py b/src/backend/base/langflow/interface/initialize/__init__.py
similarity index 100%
rename from src/backend/langflow/interface/toolkits/__init__.py
rename to src/backend/base/langflow/interface/initialize/__init__.py
diff --git a/src/backend/base/langflow/interface/initialize/loading.py b/src/backend/base/langflow/interface/initialize/loading.py
new file mode 100644
index 00000000000..b52ef70a011
--- /dev/null
+++ b/src/backend/base/langflow/interface/initialize/loading.py
@@ -0,0 +1,193 @@
+import inspect
+import json
+import os
+import warnings
+from typing import TYPE_CHECKING, Any, Type
+
+import orjson
+from loguru import logger
+from pydantic import PydanticDeprecatedSince20
+
+from langflow.custom import Component, CustomComponent
+from langflow.custom.eval import eval_custom_component_code
+from langflow.schema import Data
+from langflow.schema.artifact import get_artifact_type, post_process_raw
+from langflow.services.deps import get_tracing_service
+
+if TYPE_CHECKING:
+    from langflow.graph.vertex.base import Vertex
+    from langflow.services.tracing.service import TracingService
+
+
+async def instantiate_class(
+    vertex: "Vertex",
+    fallback_to_env_vars,
+    user_id=None,
+) -> Any:
+    """Instantiate class from module type and key, and params"""
+
+    vertex_type = vertex.vertex_type
+    base_type = vertex.base_type
+    params = vertex.params
+    params = convert_params_to_sets(params)
+    params = convert_kwargs(params)
+    logger.debug(f"Instantiating {vertex_type} of type {base_type}")
+
+    if not base_type:
+        raise ValueError("No base type provided for vertex")
+
+    custom_component, build_results, artifacts = await build_component_and_get_results(
+        params=params,
+        vertex=vertex,
+        user_id=user_id,
+        tracing_service=get_tracing_service(),
+        fallback_to_env_vars=fallback_to_env_vars,
+        base_type=base_type,
+    )
+    return custom_component, build_results, artifacts
+
+
+async def build_component_and_get_results(
+    params: dict,
+    vertex: "Vertex",
+    user_id: str,
+    tracing_service: "TracingService",
+    fallback_to_env_vars: bool = False,
+    base_type: str = "component",
+):
+    params_copy = params.copy()
+    # Remove code from params
+    class_object: Type["CustomComponent" | "Component"] = eval_custom_component_code(params_copy.pop("code"))
+    custom_component: "CustomComponent" | "Component" = class_object(
+        user_id=user_id, parameters=params_copy, vertex=vertex, _tracing_service=tracing_service
+    )
+    params_copy = update_params_with_load_from_db_fields(
+        custom_component, params_copy, vertex.load_from_db_fields, fallback_to_env_vars
+    )
+    with warnings.catch_warnings():
+        warnings.filterwarnings("ignore", category=PydanticDeprecatedSince20)
+        if base_type == "custom_components" and isinstance(custom_component, CustomComponent):
+            return await build_custom_component(params=params_copy, custom_component=custom_component)
+        elif base_type == "component" and isinstance(custom_component, Component):
+            return await build_component(params=params_copy, custom_component=custom_component)
+        else:
+            raise ValueError(f"Base type {base_type} not found.")
+
+
+def convert_params_to_sets(params):
+    """Convert certain params to sets"""
+    if "allowed_special" in params:
+        params["allowed_special"] = set(params["allowed_special"])
+    if "disallowed_special" in params:
+        params["disallowed_special"] = set(params["disallowed_special"])
+    return params
+
+
+def convert_kwargs(params):
+    # if *kwargs are passed as a string, convert to dict
+    # first find any key that has kwargs or config in it
+    kwargs_keys = [key for key in params.keys() if "kwargs" in key or "config" in key]
+    for key in kwargs_keys:
+        if isinstance(params[key], str):
+            try:
+                params[key] = orjson.loads(params[key])
+            except json.JSONDecodeError:
+                # if the string is not a valid json string, we will
+                # remove the key from the params
+                params.pop(key, None)
+    return params
+
+
+def update_params_with_load_from_db_fields(
+    custom_component: "CustomComponent", params, load_from_db_fields, fallback_to_env_vars=False
+):
+    # For each field in load_from_db_fields, we will check if it's in the params
+    # and if it is, we will get the value from the custom_component.keys(name)
+    # and update the params with the value
+    for field in load_from_db_fields:
+        if field in params:
+            try:
+                key = None
+                try:
+                    key = custom_component.variables(params[field], field)
+                except ValueError as e:
+                    # check if "User id is not set" is in the error message
+                    if "User id is not set" in str(e) and not fallback_to_env_vars:
+                        raise e
+                    logger.debug(str(e))
+                if fallback_to_env_vars and key is None:
+                    var = os.getenv(params[field])
+                    if var is None:
+                        raise ValueError(f"Environment variable {params[field]} is not set.")
+                    key = var
+                    logger.info(f"Using environment variable {params[field]} for {field}")
+                if key is None:
+                    logger.warning(f"Could not get value for {field}. Setting it to None.")
+
+                params[field] = key
+
+            except TypeError as exc:
+                raise exc
+
+            except Exception as exc:
+                logger.error(f"Failed to get value for {field} from custom component. Setting it to None. Error: {exc}")
+
+                params[field] = None
+
+    return params
+
+
+async def build_component(
+    params: dict,
+    custom_component: "Component",
+):
+    # Now set the params as attributes of the custom_component
+    custom_component.set_attributes(params)
+    build_results, artifacts = await custom_component.build_results()
+
+    return custom_component, build_results, artifacts
+
+
+async def build_custom_component(params: dict, custom_component: "CustomComponent"):
+    if "retriever" in params and hasattr(params["retriever"], "as_retriever"):
+        params["retriever"] = params["retriever"].as_retriever()
+
+    # Determine if the build method is asynchronous
+    is_async = inspect.iscoroutinefunction(custom_component.build)
+
+    # New feature: the component has a list of outputs and we have
+    # to check the vertex.edges to see which is connected (coulb be multiple)
+    # and then we'll get the output which has the name of the method we should call.
+    # the methods don't require any params because they are already set in the custom_component
+    # so we can just call them
+
+    if is_async:
+        # Await the build method directly if it's async
+        build_result = await custom_component.build(**params)
+    else:
+        # Call the build method directly if it's sync
+        build_result = custom_component.build(**params)
+    custom_repr = custom_component.custom_repr()
+    if custom_repr is None and isinstance(build_result, (dict, Data, str)):
+        custom_repr = build_result
+    if not isinstance(custom_repr, str):
+        custom_repr = str(custom_repr)
+    raw = custom_component.repr_value
+    if hasattr(raw, "data") and raw is not None:
+        raw = raw.data
+
+    elif hasattr(raw, "model_dump") and raw is not None:
+        raw = raw.model_dump()
+    if raw is None and isinstance(build_result, (dict, Data, str)):
+        raw = build_result.data if isinstance(build_result, Data) else build_result
+
+    artifact_type = get_artifact_type(custom_component.repr_value or raw, build_result)
+    raw = post_process_raw(raw, artifact_type)
+    artifact = {"repr": custom_repr, "raw": raw, "type": artifact_type}
+
+    if custom_component.vertex is not None:
+        custom_component._artifacts = {custom_component.vertex.outputs[0].get("name"): artifact}
+        custom_component._results = {custom_component.vertex.outputs[0].get("name"): build_result}
+        return custom_component, build_result, artifact
+
+    raise ValueError("Custom component does not have a vertex")
diff --git a/src/backend/langflow/interface/listing.py b/src/backend/base/langflow/interface/listing.py
similarity index 89%
rename from src/backend/langflow/interface/listing.py
rename to src/backend/base/langflow/interface/listing.py
index 79a7335d447..a51e676dbe1 100644
--- a/src/backend/langflow/interface/listing.py
+++ b/src/backend/base/langflow/interface/listing.py
@@ -21,7 +21,7 @@ def get_type_dict(self):
         from langflow.interface.types import get_all_types_dict
 
         settings_service = get_settings_service()
-        return get_all_types_dict(settings_service=settings_service)
+        return get_all_types_dict(settings_service.settings.components_path)
 
 
 lazy_load_dict = AllTypesDict()
diff --git a/src/backend/base/langflow/interface/run.py b/src/backend/base/langflow/interface/run.py
new file mode 100644
index 00000000000..283c752e821
--- /dev/null
+++ b/src/backend/base/langflow/interface/run.py
@@ -0,0 +1,46 @@
+from loguru import logger
+
+
+def get_memory_key(langchain_object):
+    """
+    Given a LangChain object, this function retrieves the current memory key from the object's memory attribute.
+    It then checks if the key exists in a dictionary of known memory keys and returns the corresponding key,
+    or None if the current key is not recognized.
+    """
+    mem_key_dict = {
+        "chat_history": "history",
+        "history": "chat_history",
+    }
+    # Check if memory_key attribute exists
+    if hasattr(langchain_object.memory, "memory_key"):
+        memory_key = langchain_object.memory.memory_key
+        return mem_key_dict.get(memory_key)
+    else:
+        return None  # or some other default value or action
+
+
+def update_memory_keys(langchain_object, possible_new_mem_key):
+    """
+    Given a LangChain object and a possible new memory key, this function updates the input and output keys in the
+    object's memory attribute to exclude the current memory key and the possible new key. It then sets the memory key
+    to the possible new key.
+    """
+    input_key = [
+        key
+        for key in langchain_object.input_keys
+        if key not in [langchain_object.memory.memory_key, possible_new_mem_key]
+    ][0]
+
+    output_key = [
+        key
+        for key in langchain_object.output_keys
+        if key not in [langchain_object.memory.memory_key, possible_new_mem_key]
+    ][0]
+
+    keys = [input_key, output_key, possible_new_mem_key]
+    attrs = ["input_key", "output_key", "memory_key"]
+    for key, attr in zip(keys, attrs):
+        try:
+            setattr(langchain_object.memory, attr, key)
+        except ValueError as exc:
+            logger.debug(f"{langchain_object.memory} has no attribute {attr} ({exc})")
diff --git a/src/backend/base/langflow/interface/types.py b/src/backend/base/langflow/interface/types.py
new file mode 100644
index 00000000000..4680e1d3572
--- /dev/null
+++ b/src/backend/base/langflow/interface/types.py
@@ -0,0 +1,71 @@
+import asyncio
+import json
+
+from typing import TYPE_CHECKING
+from loguru import logger
+
+from langflow.custom.utils import abuild_custom_components, build_custom_components
+
+if TYPE_CHECKING:
+    from langflow.services.cache.base import CacheService
+    from langflow.services.settings.service import SettingsService
+
+
+async def aget_all_types_dict(components_paths):
+    """Get all types dictionary combining native and custom components."""
+    custom_components_from_file = await abuild_custom_components(components_paths=components_paths)
+    return custom_components_from_file
+
+
+def get_all_types_dict(components_paths):
+    """Get all types dictionary combining native and custom components."""
+    custom_components_from_file = build_custom_components(components_paths=components_paths)
+    return custom_components_from_file
+
+
+# TypeError: unhashable type: 'list'
+def key_func(*args, **kwargs):
+    # components_paths is a list of paths
+    return json.dumps(args) + json.dumps(kwargs)
+
+
+async def aget_all_components(components_paths, as_dict=False):
+    """Get all components names combining native and custom components."""
+    all_types_dict = await aget_all_types_dict(components_paths)
+    components = {} if as_dict else []
+    for category in all_types_dict.values():
+        for component in category.values():
+            component["name"] = component["display_name"]
+            if as_dict:
+                components[component["name"]] = component
+            else:
+                components.append(component)
+    return components
+
+
+def get_all_components(components_paths, as_dict=False):
+    """Get all components names combining native and custom components."""
+    all_types_dict = get_all_types_dict(components_paths)
+    components = [] if not as_dict else {}
+    for category in all_types_dict.values():
+        for component in category.values():
+            component["name"] = component["display_name"]
+            if as_dict:
+                components[component["name"]] = component
+            else:
+                components.append(component)
+    return components
+
+
+async def get_and_cache_all_types_dict(
+    settings_service: "SettingsService",
+    cache_service: "CacheService",
+    force_refresh: bool = False,
+    lock: asyncio.Lock | None = None,
+):
+    all_types_dict = await cache_service.get(key="all_types_dict", lock=lock)
+    if not all_types_dict or force_refresh:
+        logger.debug("Building langchain types dict")
+        all_types_dict = await aget_all_types_dict(settings_service.settings.components_path)
+    await cache_service.set(key="all_types_dict", value=all_types_dict, lock=lock)
+    return all_types_dict
diff --git a/src/backend/base/langflow/interface/utils.py b/src/backend/base/langflow/interface/utils.py
new file mode 100644
index 00000000000..dfee360215f
--- /dev/null
+++ b/src/backend/base/langflow/interface/utils.py
@@ -0,0 +1,116 @@
+import base64
+import json
+import os
+import re
+from io import BytesIO
+
+import yaml
+from langchain_core.language_models import BaseLanguageModel
+from loguru import logger
+from PIL.Image import Image
+
+from langflow.services.chat.config import ChatConfig
+from langflow.services.deps import get_settings_service
+
+
+def load_file_into_dict(file_path: str) -> dict:
+    if not os.path.exists(file_path):
+        raise FileNotFoundError(f"File not found: {file_path}")
+
+    # Files names are UUID, so we can't find the extension
+    with open(file_path, "r") as file:
+        try:
+            data = json.load(file)
+        except json.JSONDecodeError:
+            file.seek(0)
+            data = yaml.safe_load(file)
+        except ValueError as exc:
+            raise ValueError("Invalid file type. Expected .json or .yaml.") from exc
+    return data
+
+
+def pil_to_base64(image: Image) -> str:
+    buffered = BytesIO()
+    image.save(buffered, format="PNG")
+    img_str = base64.b64encode(buffered.getvalue())
+    return img_str.decode("utf-8")
+
+
+def try_setting_streaming_options(langchain_object):
+    # If the LLM type is OpenAI or ChatOpenAI,
+    # set streaming to True
+    # First we need to find the LLM
+    llm = None
+    if hasattr(langchain_object, "llm"):
+        llm = langchain_object.llm
+    elif hasattr(langchain_object, "llm_chain") and hasattr(langchain_object.llm_chain, "llm"):
+        llm = langchain_object.llm_chain.llm
+
+    if isinstance(llm, BaseLanguageModel):
+        if hasattr(llm, "streaming") and isinstance(llm.streaming, bool):
+            llm.streaming = ChatConfig.streaming
+        elif hasattr(llm, "stream") and isinstance(llm.stream, bool):
+            llm.stream = ChatConfig.streaming
+
+    return langchain_object
+
+
+def extract_input_variables_from_prompt(prompt: str) -> list[str]:
+    variables = []
+    remaining_text = prompt
+
+    # Pattern to match single {var} and double {{var}} braces.
+    pattern = r"\{\{(.*?)\}\}|\{([^{}]+)\}"
+
+    while True:
+        match = re.search(pattern, remaining_text)
+        if not match:
+            break
+
+        # Extract the variable name from either the single or double brace match
+        if match.group(1):  # Match found in double braces
+            variable_name = "{{" + match.group(1) + "}}"  # Re-add single braces for JSON strings
+        else:  # Match found in single braces
+            variable_name = match.group(2)
+        if variable_name is not None:
+            # This means there is a match
+            # but there is nothing inside the braces
+            variables.append(variable_name)
+
+        # Remove the matched text from the remaining_text
+        start, end = match.span()
+        remaining_text = remaining_text[:start] + remaining_text[end:]
+
+        # Proceed to the next match until no more matches are found
+        # No need to compare remaining "{}" instances because we are re-adding braces for JSON compatibility
+
+    return variables
+
+
+def setup_llm_caching():
+    """Setup LLM caching."""
+    settings_service = get_settings_service()
+    try:
+        set_langchain_cache(settings_service.settings)
+    except ImportError:
+        logger.warning(f"Could not import {settings_service.settings.cache_type}. ")
+    except Exception as exc:
+        logger.warning(f"Could not setup LLM caching. Error: {exc}")
+
+
+def set_langchain_cache(settings):
+    from langchain.globals import set_llm_cache
+
+    from langflow.interface.importing.utils import import_class
+
+    if cache_type := os.getenv("LANGFLOW_LANGCHAIN_CACHE"):
+        try:
+            cache_class = import_class(f"langchain_community.cache.{cache_type or settings.LANGCHAIN_CACHE}")
+
+            logger.debug(f"Setting up LLM caching with {cache_class.__name__}")
+            set_llm_cache(cache_class())
+            logger.info(f"LLM caching setup with {cache_class.__name__}")
+        except ImportError:
+            logger.warning(f"Could not import {cache_type}. ")
+    else:
+        logger.info("No LLM cache set.")
diff --git a/src/backend/base/langflow/io/__init__.py b/src/backend/base/langflow/io/__init__.py
new file mode 100644
index 00000000000..63e8599259b
--- /dev/null
+++ b/src/backend/base/langflow/io/__init__.py
@@ -0,0 +1,37 @@
+from langflow.inputs import (
+    BoolInput,
+    DataInput,
+    DictInput,
+    DropdownInput,
+    FileInput,
+    FloatInput,
+    HandleInput,
+    IntInput,
+    MessageInput,
+    MessageTextInput,
+    MultilineInput,
+    NestedDictInput,
+    PromptInput,
+    SecretStrInput,
+    StrInput,
+)
+from langflow.template import Output
+
+__all__ = [
+    "BoolInput",
+    "DataInput",
+    "DictInput",
+    "DropdownInput",
+    "FileInput",
+    "FloatInput",
+    "HandleInput",
+    "IntInput",
+    "MessageInput",
+    "MultilineInput",
+    "NestedDictInput",
+    "PromptInput",
+    "SecretStrInput",
+    "StrInput",
+    "MessageTextInput",
+    "Output",
+]
diff --git a/src/backend/langflow/interface/utilities/__init__.py b/src/backend/base/langflow/legacy_custom/__init__.py
similarity index 100%
rename from src/backend/langflow/interface/utilities/__init__.py
rename to src/backend/base/langflow/legacy_custom/__init__.py
diff --git a/src/backend/base/langflow/legacy_custom/customs.py b/src/backend/base/langflow/legacy_custom/customs.py
new file mode 100644
index 00000000000..e4090135e85
--- /dev/null
+++ b/src/backend/base/langflow/legacy_custom/customs.py
@@ -0,0 +1,16 @@
+from langflow.template import frontend_node
+
+# These should always be instantiated
+CUSTOM_NODES: dict[str, dict[str, frontend_node.base.FrontendNode]] = {
+    "custom_components": {
+        "CustomComponent": frontend_node.custom_components.CustomComponentFrontendNode(),
+    },
+    "component": {
+        "Component": frontend_node.custom_components.ComponentFrontendNode(),
+    },
+}
+
+
+def get_custom_nodes(node_type: str):
+    """Get custom nodes."""
+    return CUSTOM_NODES.get(node_type, {})
diff --git a/src/backend/base/langflow/load/__init__.py b/src/backend/base/langflow/load/__init__.py
new file mode 100644
index 00000000000..59dbdf6e029
--- /dev/null
+++ b/src/backend/base/langflow/load/__init__.py
@@ -0,0 +1,4 @@
+from .load import load_flow_from_json, run_flow_from_json
+from .utils import upload_file, get_flow
+
+__all__ = ["load_flow_from_json", "run_flow_from_json", "upload_file", "get_flow"]
diff --git a/src/backend/base/langflow/load/load.py b/src/backend/base/langflow/load/load.py
new file mode 100644
index 00000000000..b56f22c81b8
--- /dev/null
+++ b/src/backend/base/langflow/load/load.py
@@ -0,0 +1,134 @@
+import json
+from pathlib import Path
+from typing import List, Optional, Union
+
+from dotenv import load_dotenv
+from loguru import logger
+
+from langflow.graph import Graph
+from langflow.graph.schema import RunOutputs
+from langflow.processing.process import process_tweaks, run_graph
+from langflow.utils.logger import configure
+from langflow.utils.util import update_settings
+
+
+def load_flow_from_json(
+    flow: Union[Path, str, dict],
+    tweaks: Optional[dict] = None,
+    log_level: Optional[str] = None,
+    log_file: Optional[str] = None,
+    env_file: Optional[str] = None,
+    cache: Optional[str] = None,
+    disable_logs: Optional[bool] = True,
+) -> Graph:
+    """
+    Load a flow graph from a JSON file or a JSON object.
+
+    Args:
+        flow (Union[Path, str, dict]): The flow to load. It can be a file path (str or Path object)
+            or a JSON object (dict).
+        tweaks (Optional[dict]): Optional tweaks to apply to the loaded flow graph.
+        log_level (Optional[str]): Optional log level to configure for the flow processing.
+        log_file (Optional[str]): Optional log file to configure for the flow processing.
+        env_file (Optional[str]): Optional .env file to override environment variables.
+        cache (Optional[str]): Optional cache path to update the flow settings.
+        disable_logs (Optional[bool], default=True): Optional flag to disable logs during flow processing.
+            If log_level or log_file are set, disable_logs is not used.
+
+    Returns:
+        Graph: The loaded flow graph as a Graph object.
+
+    Raises:
+        TypeError: If the input is neither a file path (str or Path object) nor a JSON object (dict).
+
+    """
+    # If input is a file path, load JSON from the file
+    log_file_path = Path(log_file) if log_file else None
+    configure(log_level=log_level, log_file=log_file_path, disable=disable_logs)
+
+    # override env variables with .env file
+    if env_file:
+        load_dotenv(env_file, override=True)
+
+    # Update settings with cache and components path
+    update_settings(cache=cache)
+
+    if isinstance(flow, (str, Path)):
+        with open(flow, "r", encoding="utf-8") as f:
+            flow_graph = json.load(f)
+    # If input is a dictionary, assume it's a JSON object
+    elif isinstance(flow, dict):
+        flow_graph = flow
+    else:
+        raise TypeError("Input must be either a file path (str) or a JSON object (dict)")
+
+    graph_data = flow_graph["data"]
+    if tweaks is not None:
+        graph_data = process_tweaks(graph_data, tweaks)
+
+    graph = Graph.from_payload(graph_data)
+    return graph
+
+
+def run_flow_from_json(
+    flow: Union[Path, str, dict],
+    input_value: str,
+    tweaks: Optional[dict] = None,
+    input_type: str = "chat",
+    output_type: str = "chat",
+    output_component: Optional[str] = None,
+    log_level: Optional[str] = None,
+    log_file: Optional[str] = None,
+    env_file: Optional[str] = None,
+    cache: Optional[str] = None,
+    disable_logs: Optional[bool] = True,
+    fallback_to_env_vars: bool = False,
+) -> List[RunOutputs]:
+    """
+    Run a flow from a JSON file or dictionary.
+
+    Args:
+        flow (Union[Path, str, dict]): The path to the JSON file or the JSON dictionary representing the flow.
+        input_value (str): The input value to be processed by the flow.
+        tweaks (Optional[dict], optional): Optional tweaks to be applied to the flow. Defaults to None.
+        input_type (str, optional): The type of the input value. Defaults to "chat".
+        output_type (str, optional): The type of the output value. Defaults to "chat".
+        output_component (Optional[str], optional): The specific component to output. Defaults to None.
+        log_level (Optional[str], optional): The log level to use. Defaults to None.
+        log_file (Optional[str], optional): The log file to write logs to. Defaults to None.
+        env_file (Optional[str], optional): The environment file to load. Defaults to None.
+        cache (Optional[str], optional): The cache directory to use. Defaults to None.
+        disable_logs (Optional[bool], optional): Whether to disable logs. Defaults to True.
+        fallback_to_env_vars (bool, optional): Whether Global Variables should fallback to environment variables if not found. Defaults to False.
+
+    Returns:
+        List[RunOutputs]: A list of RunOutputs objects representing the results of running the flow.
+    """
+    # Set all streaming to false
+    try:
+        import nest_asyncio  # type: ignore
+
+        nest_asyncio.apply()
+    except Exception as e:
+        logger.warning(f"Could not apply nest_asyncio: {e}")
+    if tweaks is None:
+        tweaks = {}
+    tweaks["stream"] = False
+    graph = load_flow_from_json(
+        flow=flow,
+        tweaks=tweaks,
+        log_level=log_level,
+        log_file=log_file,
+        env_file=env_file,
+        cache=cache,
+        disable_logs=disable_logs,
+    )
+    result = run_graph(
+        graph=graph,
+        input_value=input_value,
+        input_type=input_type,
+        output_type=output_type,
+        output_component=output_component,
+        fallback_to_env_vars=fallback_to_env_vars,
+    )
+    return result
diff --git a/src/backend/base/langflow/load/utils.py b/src/backend/base/langflow/load/utils.py
new file mode 100644
index 00000000000..9c2918e91b1
--- /dev/null
+++ b/src/backend/base/langflow/load/utils.py
@@ -0,0 +1,89 @@
+import httpx
+
+from langflow.services.database.models.flow.model import FlowBase
+
+
+def upload(file_path, host, flow_id):
+    """
+    Upload a file to Langflow and return the file path.
+
+    Args:
+        file_path (str): The path to the file to be uploaded.
+        host (str): The host URL of Langflow.
+        flow_id (UUID): The ID of the flow to which the file belongs.
+
+    Returns:
+        dict: A dictionary containing the file path.
+
+    Raises:
+        Exception: If an error occurs during the upload process.
+    """
+    try:
+        url = f"{host}/api/v1/upload/{flow_id}"
+        response = httpx.post(url, files={"file": open(file_path, "rb")})
+        if response.status_code == 200:
+            return response.json()
+        else:
+            raise Exception(f"Error uploading file: {response.status_code}")
+    except Exception as e:
+        raise Exception(f"Error uploading file: {e}")
+
+
+def upload_file(file_path, host, flow_id, components, tweaks={}):
+    """
+    Upload a file to Langflow and return the file path.
+
+    Args:
+        file_path (str): The path to the file to be uploaded.
+        host (str): The host URL of Langflow.
+        port (int): The port number of Langflow.
+        flow_id (UUID): The ID of the flow to which the file belongs.
+        components (str): List of component IDs or names that need the file.
+        tweaks (dict): A dictionary of tweaks to be applied to the file.
+
+    Returns:
+        dict: A dictionary containing the file path and any tweaks that were applied.
+
+    Raises:
+        Exception: If an error occurs during the upload process.
+    """
+    try:
+        response = upload(file_path, host, flow_id)
+        if response["file_path"]:
+            for component in components:
+                if isinstance(component, str):
+                    tweaks[component] = {"file_path": response["file_path"]}
+                else:
+                    raise ValueError(f"Component ID or name must be a string. Got {type(component)}")
+            return tweaks
+        else:
+            raise ValueError("Error uploading file")
+    except Exception as e:
+        raise ValueError(f"Error uploading file: {e}")
+
+
+def get_flow(url: str, flow_id: str):
+    """Get the details of a flow from Langflow.
+
+    Args:
+        url (str): The host URL of Langflow.
+        port (int): The port number of Langflow.
+        flow_id (UUID): The ID of the flow to retrieve.
+
+    Returns:
+        dict: A dictionary containing the details of the flow.
+
+    Raises:
+        Exception: If an error occurs during the retrieval process.
+    """
+    try:
+        flow_url = f"{url}/api/v1/flows/{flow_id}"
+        response = httpx.get(flow_url)
+        if response.status_code == 200:
+            json_response = response.json()
+            flow = FlowBase(**json_response).model_dump()
+            return flow
+        else:
+            raise Exception(f"Error retrieving flow: {response.status_code}")
+    except Exception as e:
+        raise Exception(f"Error retrieving flow: {e}")
diff --git a/src/backend/base/langflow/main.py b/src/backend/base/langflow/main.py
new file mode 100644
index 00000000000..45a681ff5ba
--- /dev/null
+++ b/src/backend/base/langflow/main.py
@@ -0,0 +1,225 @@
+import asyncio
+import warnings
+from contextlib import asynccontextmanager
+from pathlib import Path
+from typing import Optional
+from urllib.parse import urlencode
+
+import nest_asyncio  # type: ignore
+from fastapi import FastAPI, Request
+from fastapi.middleware.cors import CORSMiddleware
+from fastapi.responses import FileResponse
+from fastapi.staticfiles import StaticFiles
+from loguru import logger
+from pydantic import PydanticDeprecatedSince20
+from rich import print as rprint
+from starlette.middleware.base import BaseHTTPMiddleware
+
+from langflow.api import router
+from langflow.initial_setup.setup import (
+    create_or_update_starter_projects,
+    initialize_super_user_if_needed,
+    load_flows_from_directory,
+)
+from langflow.interface.types import get_and_cache_all_types_dict
+from langflow.interface.utils import setup_llm_caching
+from langflow.services.deps import get_cache_service, get_settings_service, get_telemetry_service
+from langflow.services.plugins.langfuse_plugin import LangfuseInstance
+from langflow.services.utils import initialize_services, teardown_services
+from langflow.utils.logger import configure
+
+# Ignore Pydantic deprecation warnings from Langchain
+warnings.filterwarnings("ignore", category=PydanticDeprecatedSince20)
+
+
+class RequestCancelledMiddleware:
+    def __init__(self, app):
+        self.app = app
+
+    async def __call__(self, scope, receive, send):
+        if scope["type"] != "http":
+            await self.app(scope, receive, send)
+            return
+
+        # Let's make a shared queue for the request messages
+        queue = asyncio.Queue()
+
+        async def message_poller(sentinel, handler_task):
+            nonlocal queue
+            while True:
+                message = await receive()
+                if message["type"] == "http.disconnect":
+                    handler_task.cancel()
+                    return sentinel  # Break the loop
+
+                # Puts the message in the queue
+                await queue.put(message)
+
+        sentinel = object()
+        handler_task = asyncio.create_task(self.app(scope, queue.get, send))
+        asyncio.create_task(message_poller(sentinel, handler_task))
+
+        try:
+            return await handler_task
+        except asyncio.CancelledError:
+            pass
+
+
+class JavaScriptMIMETypeMiddleware(BaseHTTPMiddleware):
+    async def dispatch(self, request: Request, call_next):
+        try:
+            response = await call_next(request)
+        except Exception as exc:
+            logger.error(exc)
+            raise exc
+        if "files/" not in request.url.path and request.url.path.endswith(".js") and response.status_code == 200:
+            response.headers["Content-Type"] = "text/javascript"
+        return response
+
+
+def get_lifespan(fix_migration=False, socketio_server=None, version=None):
+    @asynccontextmanager
+    async def lifespan(app: FastAPI):
+        nest_asyncio.apply()
+        # Startup message
+        if version:
+            rprint(f"[bold green]Starting Langflow v{version}...[/bold green]")
+        else:
+            rprint("[bold green]Starting Langflow...[/bold green]")
+        try:
+            initialize_services(fix_migration=fix_migration, socketio_server=socketio_server)
+            setup_llm_caching()
+            LangfuseInstance.update()
+            initialize_super_user_if_needed()
+            task = asyncio.create_task(get_and_cache_all_types_dict(get_settings_service(), get_cache_service()))
+            await create_or_update_starter_projects(task)
+            asyncio.create_task(get_telemetry_service().start())
+            load_flows_from_directory()
+            yield
+        except Exception as exc:
+            if "langflow migration --fix" not in str(exc):
+                logger.error(exc)
+            raise
+        # Shutdown message
+        rprint("[bold red]Shutting down Langflow...[/bold red]")
+        teardown_services()
+
+    return lifespan
+
+
+def create_app():
+    """Create the FastAPI app and include the router."""
+    try:
+        from langflow.version import __version__  # type: ignore
+    except ImportError:
+        from importlib.metadata import version
+
+        __version__ = version("langflow-base")
+
+    configure()
+    lifespan = get_lifespan(version=__version__)
+    app = FastAPI(lifespan=lifespan, title="Langflow", version=__version__)
+    setup_sentry(app)
+    origins = ["*"]
+
+    app.add_middleware(
+        CORSMiddleware,
+        allow_origins=origins,
+        allow_credentials=True,
+        allow_methods=["*"],
+        allow_headers=["*"],
+    )
+    app.add_middleware(JavaScriptMIMETypeMiddleware)
+    app.add_middleware(RequestCancelledMiddleware)
+
+    @app.middleware("http")
+    async def flatten_query_string_lists(request: Request, call_next):
+        flattened: list[tuple[str, str]] = []
+        for key, value in request.query_params.multi_items():
+            flattened.extend((key, entry) for entry in value.split(","))
+
+        request.scope["query_string"] = urlencode(flattened, doseq=True).encode("utf-8")
+
+        return await call_next(request)
+
+    @app.get("/health")
+    def health():
+        return {"status": "ok"}
+
+    app.include_router(router)
+
+    return app
+
+
+def setup_sentry(app: FastAPI):
+    settings = get_settings_service().settings
+    if settings.sentry_dsn:
+        import sentry_sdk
+        from sentry_sdk.integrations.asgi import SentryAsgiMiddleware
+
+        sentry_sdk.init(
+            dsn=settings.sentry_dsn,
+            traces_sample_rate=settings.sentry_traces_sample_rate,
+            profiles_sample_rate=settings.sentry_profiles_sample_rate,
+        )
+        app.add_middleware(SentryAsgiMiddleware)
+
+
+def setup_static_files(app: FastAPI, static_files_dir: Path):
+    """
+    Setup the static files directory.
+    Args:
+        app (FastAPI): FastAPI app.
+        path (str): Path to the static files directory.
+    """
+    app.mount(
+        "/",
+        StaticFiles(directory=static_files_dir, html=True),
+        name="static",
+    )
+
+    @app.exception_handler(404)
+    async def custom_404_handler(request, __):
+        path = static_files_dir / "index.html"
+
+        if not path.exists():
+            raise RuntimeError(f"File at path {path} does not exist.")
+        return FileResponse(path)
+
+
+def get_static_files_dir():
+    """Get the static files directory relative to Langflow's main.py file."""
+    frontend_path = Path(__file__).parent
+    return frontend_path / "frontend"
+
+
+def setup_app(static_files_dir: Optional[Path] = None, backend_only: bool = False) -> FastAPI:
+    """Setup the FastAPI app."""
+    # get the directory of the current file
+    logger.info(f"Setting up app with static files directory {static_files_dir}")
+    if not static_files_dir:
+        static_files_dir = get_static_files_dir()
+
+    if not backend_only and (not static_files_dir or not static_files_dir.exists()):
+        raise RuntimeError(f"Static files directory {static_files_dir} does not exist.")
+    app = create_app()
+    if not backend_only and static_files_dir is not None:
+        setup_static_files(app, static_files_dir)
+    return app
+
+
+if __name__ == "__main__":
+    import uvicorn
+
+    from langflow.__main__ import get_number_of_workers
+
+    configure()
+    uvicorn.run(
+        "langflow.main:create_app",
+        host="127.0.0.1",
+        port=7860,
+        workers=get_number_of_workers(),
+        log_level="error",
+        reload=True,
+        loop="asyncio",
+    )
diff --git a/src/backend/base/langflow/memory.py b/src/backend/base/langflow/memory.py
new file mode 100644
index 00000000000..e8968296921
--- /dev/null
+++ b/src/backend/base/langflow/memory.py
@@ -0,0 +1,129 @@
+import warnings
+from typing import List, Optional
+
+from loguru import logger
+
+from langflow.schema.message import Message
+from langflow.services.deps import get_monitor_service
+from langflow.services.monitor.schema import MessageModel
+
+
+def get_messages(
+    sender: Optional[str] = None,
+    sender_name: Optional[str] = None,
+    session_id: Optional[str] = None,
+    order_by: Optional[str] = "timestamp",
+    order: Optional[str] = "DESC",
+    limit: Optional[int] = None,
+):
+    """
+    Retrieves messages from the monitor service based on the provided filters.
+
+    Args:
+        sender (Optional[str]): The sender of the messages (e.g., "Machine" or "User")
+        sender_name (Optional[str]): The name of the sender.
+        session_id (Optional[str]): The session ID associated with the messages.
+        order_by (Optional[str]): The field to order the messages by. Defaults to "timestamp".
+        limit (Optional[int]): The maximum number of messages to retrieve.
+
+    Returns:
+        List[Data]: A list of Data objects representing the retrieved messages.
+    """
+    monitor_service = get_monitor_service()
+    messages_df = monitor_service.get_messages(
+        sender=sender,
+        sender_name=sender_name,
+        session_id=session_id,
+        order_by=order_by,
+        limit=limit,
+        order=order,
+    )
+
+    messages: list[Message] = []
+    # messages_df has a timestamp
+    # it gets the last 5 messages, for example
+    # but now they are ordered from most recent to least recent
+    # so we need to reverse the order
+    messages_df = messages_df[::-1] if order == "DESC" else messages_df
+    for row in messages_df.itertuples():
+        msg = Message(
+            text=row.text,
+            sender=row.sender,
+            session_id=row.session_id,
+            sender_name=row.sender_name,
+            timestamp=row.timestamp,
+        )
+
+        messages.append(msg)
+
+    return messages
+
+
+def add_messages(messages: Message | list[Message], flow_id: Optional[str] = None):
+    """
+    Add a message to the monitor service.
+    """
+    try:
+        monitor_service = get_monitor_service()
+        if not isinstance(messages, list):
+            messages = [messages]
+
+        if not all(isinstance(message, Message) for message in messages):
+            types = ", ".join([str(type(message)) for message in messages])
+            raise ValueError(f"The messages must be instances of Message. Found: {types}")
+
+        messages_models: list[MessageModel] = []
+        for msg in messages:
+            if not msg.timestamp:
+                msg.timestamp = monitor_service.get_timestamp()
+            messages_models.append(MessageModel.from_message(msg, flow_id=flow_id))
+
+        for message_model in messages_models:
+            try:
+                monitor_service.add_message(message_model)
+            except Exception as e:
+                logger.error(f"Error adding message to monitor service: {e}")
+                logger.exception(e)
+                raise e
+        return messages_models
+    except Exception as e:
+        logger.exception(e)
+        raise e
+
+
+def delete_messages(session_id: str):
+    """
+    Delete messages from the monitor service based on the provided session ID.
+
+    Args:
+        session_id (str): The session ID associated with the messages to delete.
+    """
+    monitor_service = get_monitor_service()
+    monitor_service.delete_messages_session(session_id)
+
+
+def store_message(
+    message: Message,
+    flow_id: Optional[str] = None,
+) -> List[Message]:
+    """
+    Stores a message in the memory.
+
+    Args:
+        message (Message): The message to store.
+        flow_id (Optional[str]): The flow ID associated with the message. When running from the CustomComponent you can access this using `self.graph.flow_id`.
+
+    Returns:
+        List[Message]: A list of data containing the stored message.
+
+    Raises:
+        ValueError: If any of the required parameters (session_id, sender, sender_name) is not provided.
+    """
+    if not message:
+        warnings.warn("No message provided.")
+        return []
+
+    if not message.session_id or not message.sender or not message.sender_name:
+        raise ValueError("All of session_id, sender, and sender_name must be provided.")
+
+    return add_messages([message], flow_id=flow_id)
diff --git a/src/backend/langflow/interface/vector_store/__init__.py b/src/backend/base/langflow/processing/__init__.py
similarity index 100%
rename from src/backend/langflow/interface/vector_store/__init__.py
rename to src/backend/base/langflow/processing/__init__.py
diff --git a/src/backend/base/langflow/processing/base.py b/src/backend/base/langflow/processing/base.py
new file mode 100644
index 00000000000..26da99842c2
--- /dev/null
+++ b/src/backend/base/langflow/processing/base.py
@@ -0,0 +1,44 @@
+from typing import TYPE_CHECKING, List, Union
+
+from langchain_core.callbacks import BaseCallbackHandler
+from loguru import logger
+
+from langflow.services.deps import get_plugins_service
+
+if TYPE_CHECKING:
+    from langfuse.callback import CallbackHandler  # type: ignore
+
+
+def setup_callbacks(sync, trace_id, **kwargs):
+    """Setup callbacks for langchain object"""
+    callbacks = []
+    plugin_service = get_plugins_service()
+    plugin_callbacks = plugin_service.get_callbacks(_id=trace_id)
+    if plugin_callbacks:
+        callbacks.extend(plugin_callbacks)
+    return callbacks
+
+
+def get_langfuse_callback(trace_id):
+    from langflow.services.deps import get_plugins_service
+
+    logger.debug("Initializing langfuse callback")
+    if langfuse := get_plugins_service().get("langfuse"):
+        logger.debug("Langfuse credentials found")
+        try:
+            trace = langfuse.trace(name="langflow-" + trace_id, id=trace_id)
+            return trace.getNewHandler()
+        except Exception as exc:
+            logger.error(f"Error initializing langfuse callback: {exc}")
+
+    return None
+
+
+def flush_langfuse_callback_if_present(callbacks: List[Union[BaseCallbackHandler, "CallbackHandler"]]):
+    """
+    If langfuse callback is present, run callback.langfuse.flush()
+    """
+    for callback in callbacks:
+        if hasattr(callback, "langfuse") and hasattr(callback.langfuse, "flush"):
+            callback.langfuse.flush()
+            break
diff --git a/src/backend/base/langflow/processing/process.py b/src/backend/base/langflow/processing/process.py
new file mode 100644
index 00000000000..60f11b38863
--- /dev/null
+++ b/src/backend/base/langflow/processing/process.py
@@ -0,0 +1,199 @@
+from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union
+
+from langflow.graph.graph.base import Graph
+from langflow.graph.schema import RunOutputs
+from langflow.graph.vertex.base import Vertex
+from langflow.schema.graph import InputValue, Tweaks
+from langflow.schema.schema import INPUT_FIELD_NAME
+from langflow.services.deps import get_settings_service
+from loguru import logger
+from pydantic import BaseModel
+
+if TYPE_CHECKING:
+    from langflow.api.v1.schemas import InputValueRequest
+
+
+class Result(BaseModel):
+    result: Any
+    session_id: str
+
+
+async def run_graph_internal(
+    graph: "Graph",
+    flow_id: str,
+    stream: bool = False,
+    session_id: Optional[str] = None,
+    inputs: Optional[List["InputValueRequest"]] = None,
+    outputs: Optional[List[str]] = None,
+) -> tuple[List[RunOutputs], str]:
+    """Run the graph and generate the result"""
+    inputs = inputs or []
+    if session_id is None:
+        session_id_str = flow_id
+    else:
+        session_id_str = session_id
+    components = []
+    inputs_list = []
+    types = []
+    for input_value_request in inputs:
+        if input_value_request.input_value is None:
+            logger.warning("InputValueRequest input_value cannot be None, defaulting to an empty string.")
+            input_value_request.input_value = ""
+        components.append(input_value_request.components or [])
+        inputs_list.append({INPUT_FIELD_NAME: input_value_request.input_value})
+        types.append(input_value_request.type)
+
+    fallback_to_env_vars = get_settings_service().settings.fallback_to_env_var
+
+    run_outputs = await graph.arun(
+        inputs=inputs_list,
+        inputs_components=components,
+        types=types,
+        outputs=outputs or [],
+        stream=stream,
+        session_id=session_id_str or "",
+        fallback_to_env_vars=fallback_to_env_vars,
+    )
+    return run_outputs, session_id_str
+
+
+def run_graph(
+    graph: "Graph",
+    input_value: str,
+    input_type: str,
+    output_type: str,
+    fallback_to_env_vars: bool = False,
+    output_component: Optional[str] = None,
+) -> List[RunOutputs]:
+    """
+    Runs the given Langflow Graph with the specified input and returns the outputs.
+
+    Args:
+        graph (Graph): The graph to be executed.
+        input_value (str): The input value to be passed to the graph.
+        input_type (str): The type of the input value.
+        output_type (str): The type of the desired output.
+        output_component (Optional[str], optional): The specific output component to retrieve. Defaults to None.
+
+    Returns:
+        List[RunOutputs]: A list of RunOutputs objects representing the outputs of the graph.
+
+    """
+    inputs = [InputValue(components=[], input_value=input_value, type=input_type)]
+    if output_component:
+        outputs = [output_component]
+    else:
+        outputs = [
+            vertex.id
+            for vertex in graph.vertices
+            if output_type == "debug"
+            or (vertex.is_output and (output_type == "any" or output_type in vertex.id.lower()))
+        ]
+    components = []
+    inputs_list = []
+    types = []
+    for input_value_request in inputs:
+        if input_value_request.input_value is None:
+            logger.warning("InputValueRequest input_value cannot be None, defaulting to an empty string.")
+            input_value_request.input_value = ""
+        components.append(input_value_request.components or [])
+        inputs_list.append({INPUT_FIELD_NAME: input_value_request.input_value})
+        types.append(input_value_request.type)
+    run_outputs = graph.run(
+        inputs_list,
+        components,
+        types,
+        outputs or [],
+        stream=False,
+        session_id="",
+        fallback_to_env_vars=fallback_to_env_vars,
+    )
+    return run_outputs
+
+
+def validate_input(
+    graph_data: Dict[str, Any], tweaks: Union["Tweaks", Dict[str, Dict[str, Any]]]
+) -> List[Dict[str, Any]]:
+    if not isinstance(graph_data, dict) or not isinstance(tweaks, dict):
+        raise ValueError("graph_data and tweaks should be dictionaries")
+
+    nodes = graph_data.get("data", {}).get("nodes") or graph_data.get("nodes")
+
+    if not isinstance(nodes, list):
+        raise ValueError("graph_data should contain a list of nodes under 'data' key or directly under 'nodes' key")
+
+    return nodes
+
+
+def apply_tweaks(node: Dict[str, Any], node_tweaks: Dict[str, Any]) -> None:
+    template_data = node.get("data", {}).get("node", {}).get("template")
+
+    if not isinstance(template_data, dict):
+        logger.warning(f"Template data for node {node.get('id')} should be a dictionary")
+        return
+
+    for tweak_name, tweak_value in node_tweaks.items():
+        if tweak_name not in template_data:
+            continue
+        if tweak_name in template_data:
+            key = "file_path" if template_data[tweak_name]["type"] == "file" else "value"
+            template_data[tweak_name][key] = tweak_value
+
+
+def apply_tweaks_on_vertex(vertex: Vertex, node_tweaks: Dict[str, Any]) -> None:
+    for tweak_name, tweak_value in node_tweaks.items():
+        if tweak_name and tweak_value and tweak_name in vertex.params:
+            vertex.params[tweak_name] = tweak_value
+
+
+def process_tweaks(
+    graph_data: Dict[str, Any], tweaks: Union["Tweaks", Dict[str, Dict[str, Any]]], stream: bool = False
+) -> Dict[str, Any]:
+    """
+    This function is used to tweak the graph data using the node id and the tweaks dict.
+
+    :param graph_data: The dictionary containing the graph data. It must contain a 'data' key with
+                       'nodes' as its child or directly contain 'nodes' key. Each node should have an 'id' and 'data'.
+    :param tweaks: The dictionary containing the tweaks. The keys can be the node id or the name of the tweak.
+                   The values can be a dictionary containing the tweaks for the node or the value of the tweak.
+    :param stream: A boolean flag indicating whether streaming should be deactivated across all components or not. Default is False.
+    :return: The modified graph_data dictionary.
+    :raises ValueError: If the input is not in the expected format.
+    """
+    tweaks_dict = {}
+    if not isinstance(tweaks, dict):
+        tweaks_dict = tweaks.model_dump()
+    else:
+        tweaks_dict = tweaks
+    if "stream" not in tweaks_dict:
+        tweaks_dict["stream"] = stream
+    nodes = validate_input(graph_data, tweaks_dict)
+    nodes_map = {node.get("id"): node for node in nodes}
+    nodes_display_name_map = {node.get("data", {}).get("node", {}).get("display_name"): node for node in nodes}
+
+    all_nodes_tweaks = {}
+    for key, value in tweaks_dict.items():
+        if isinstance(value, dict):
+            if node := nodes_map.get(key):
+                apply_tweaks(node, value)
+            elif node := nodes_display_name_map.get(key):
+                apply_tweaks(node, value)
+        else:
+            all_nodes_tweaks[key] = value
+    if all_nodes_tweaks:
+        for node in nodes:
+            apply_tweaks(node, all_nodes_tweaks)
+
+    return graph_data
+
+
+def process_tweaks_on_graph(graph: Graph, tweaks: Dict[str, Dict[str, Any]]):
+    for vertex in graph.vertices:
+        if isinstance(vertex, Vertex) and isinstance(vertex.id, str):
+            node_id = vertex.id
+            if node_tweaks := tweaks.get(node_id):
+                apply_tweaks_on_vertex(vertex, node_tweaks)
+        else:
+            logger.warning("Each node should be a Vertex with an 'id' attribute of type str")
+
+    return graph
diff --git a/src/backend/langflow/interface/toolkits/custom.py b/src/backend/base/langflow/py.typed
similarity index 100%
rename from src/backend/langflow/interface/toolkits/custom.py
rename to src/backend/base/langflow/py.typed
diff --git a/src/backend/base/langflow/schema/__init__.py b/src/backend/base/langflow/schema/__init__.py
new file mode 100644
index 00000000000..ae65fd05afa
--- /dev/null
+++ b/src/backend/base/langflow/schema/__init__.py
@@ -0,0 +1,4 @@
+from .dotdict import dotdict
+from .data import Data
+
+__all__ = ["Data", "dotdict"]
diff --git a/src/backend/base/langflow/schema/artifact.py b/src/backend/base/langflow/schema/artifact.py
new file mode 100644
index 00000000000..97d449f7b5e
--- /dev/null
+++ b/src/backend/base/langflow/schema/artifact.py
@@ -0,0 +1,55 @@
+from enum import Enum
+from typing import Generator
+
+from langflow.schema import Data
+from langflow.schema.message import Message
+
+
+class ArtifactType(str, Enum):
+    TEXT = "text"
+    DATA = "data"
+    OBJECT = "object"
+    ARRAY = "array"
+    STREAM = "stream"
+    UNKNOWN = "unknown"
+    MESSAGE = "message"
+
+
+def get_artifact_type(value, build_result=None) -> str:
+    result = ArtifactType.UNKNOWN
+    match value:
+        case Message():
+            if not isinstance(value.text, str):
+                enum_value = get_artifact_type(value.text)
+                result = ArtifactType(enum_value)
+            else:
+                result = ArtifactType.MESSAGE
+        case Data():
+            enum_value = get_artifact_type(value.data)
+            result = ArtifactType(enum_value)
+
+        case str():
+            result = ArtifactType.TEXT
+
+        case dict():
+            result = ArtifactType.OBJECT
+
+        case list():
+            result = ArtifactType.ARRAY
+
+    if result == ArtifactType.UNKNOWN:
+        if build_result and isinstance(build_result, Generator):
+            result = ArtifactType.STREAM
+        elif isinstance(value, Message) and isinstance(value.text, Generator):
+            result = ArtifactType.STREAM
+
+    return result.value
+
+
+def post_process_raw(raw, artifact_type: str):
+    if artifact_type == ArtifactType.STREAM.value:
+        raw = ""
+    elif artifact_type == ArtifactType.UNKNOWN.value:
+        raw = "Built Successfully ✨"
+
+    return raw
diff --git a/src/backend/base/langflow/schema/data.py b/src/backend/base/langflow/schema/data.py
new file mode 100644
index 00000000000..122f0150758
--- /dev/null
+++ b/src/backend/base/langflow/schema/data.py
@@ -0,0 +1,208 @@
+import copy
+import json
+from typing import Optional, cast
+
+from langchain_core.documents import Document
+from langchain_core.messages import AIMessage, BaseMessage, HumanMessage
+from langchain_core.prompt_values import ImagePromptValue
+from langchain_core.prompts.image import ImagePromptTemplate
+from pydantic import BaseModel, model_serializer, model_validator
+
+
+class Data(BaseModel):
+    """
+    Represents a record with text and optional data.
+
+    Attributes:
+        data (dict, optional): Additional data associated with the record.
+    """
+
+    text_key: str = "text"
+    data: dict = {}
+    default_value: Optional[str] = ""
+
+    @model_validator(mode="before")
+    def validate_data(cls, values):
+        if not values.get("data"):
+            values["data"] = {}
+        # Any other keyword should be added to the data dictionary
+        for key in values:
+            if key not in values["data"] and key not in {"text_key", "data", "default_value"}:
+                values["data"][key] = values[key]
+        return values
+
+    @model_serializer(mode="plain", when_used="json")
+    def serialize_model(self):
+        data = {k: v.to_json() if hasattr(v, "to_json") else v for k, v in self.data.items()}
+        return data
+
+    def get_text(self):
+        """
+        Retrieves the text value from the data dictionary.
+
+        If the text key is present in the data dictionary, the corresponding value is returned.
+        Otherwise, the default value is returned.
+
+        Returns:
+            The text value from the data dictionary or the default value.
+        """
+        return self.data.get(self.text_key, self.default_value)
+
+    @classmethod
+    def from_document(cls, document: Document) -> "Data":
+        """
+        Converts a Document to a Data.
+
+        Args:
+            document (Document): The Document to convert.
+
+        Returns:
+            Data: The converted Data.
+        """
+        data = document.metadata
+        data["text"] = document.page_content
+        return cls(data=data, text_key="text")
+
+    @classmethod
+    def from_lc_message(cls, message: BaseMessage) -> "Data":
+        """
+        Converts a BaseMessage to a Data.
+
+        Args:
+            message (BaseMessage): The BaseMessage to convert.
+
+        Returns:
+            Data: The converted Data.
+        """
+        data: dict = {"text": message.content}
+        data["metadata"] = cast(dict, message.to_json())
+        return cls(data=data, text_key="text")
+
+    def __add__(self, other: "Data") -> "Data":
+        """
+        Combines the data of two data by attempting to add values for overlapping keys
+        for all types that support the addition operation. Falls back to the value from 'other'
+        record when addition is not supported.
+        """
+        combined_data = self.data.copy()
+        for key, value in other.data.items():
+            # If the key exists in both data and both values support the addition operation
+            if key in combined_data:
+                try:
+                    combined_data[key] += value
+                except TypeError:
+                    # Fallback: Use the value from 'other' record if addition is not supported
+                    combined_data[key] = value
+            else:
+                # If the key is not in the first record, simply add it
+                combined_data[key] = value
+
+        return Data(data=combined_data)
+
+    def to_lc_document(self) -> Document:
+        """
+        Converts the Data to a Document.
+
+        Returns:
+            Document: The converted Document.
+        """
+        data_copy = self.data.copy()
+        text = data_copy.pop(self.text_key, self.default_value)
+        return Document(page_content=text, metadata=data_copy)
+
+    def to_lc_message(
+        self,
+    ) -> BaseMessage:
+        """
+        Converts the Data to a BaseMessage.
+
+        Returns:
+            BaseMessage: The converted BaseMessage.
+        """
+        # The idea of this function is to be a helper to convert a Data to a BaseMessage
+        # It will use the "sender" key to determine if the message is Human or AI
+        # If the key is not present, it will default to AI
+        # But first we check if all required keys are present in the data dictionary
+        # they are: "text", "sender"
+        if not all(key in self.data for key in ["text", "sender"]):
+            raise ValueError(f"Missing required keys ('text', 'sender') in Data: {self.data}")
+        sender = self.data.get("sender", "Machine")
+        text = self.data.get("text", "")
+        files = self.data.get("files", [])
+        if sender == "User":
+            if files:
+                contents = [{"type": "text", "text": text}]
+                for file_path in files:
+                    image_template = ImagePromptTemplate()
+                    image_prompt_value: ImagePromptValue = image_template.invoke(input={"path": file_path})  # type: ignore
+                    contents.append({"type": "image_url", "image_url": image_prompt_value.image_url})
+                human_message = HumanMessage(content=contents)  # type: ignore
+            else:
+                human_message = HumanMessage(
+                    content=[{"type": "text", "text": text}],
+                )
+
+            return human_message
+
+        return AIMessage(content=text)  # type: ignore
+
+    def __getattr__(self, key):
+        """
+        Allows attribute-like access to the data dictionary.
+        """
+        try:
+            if key.startswith("__"):
+                return self.__getattribute__(key)
+            if key in {"data", "text_key"} or key.startswith("_"):
+                return super().__getattr__(key)
+            return self.data[key]
+        except KeyError:
+            # Fallback to default behavior to raise AttributeError for undefined attributes
+            raise AttributeError(f"'{type(self).__name__}' object has no attribute '{key}'")
+
+    def __setattr__(self, key, value):
+        """
+        Allows attribute-like setting of values in the data dictionary,
+        while still allowing direct assignment to class attributes.
+        """
+        if key in {"data", "text_key"} or key.startswith("_"):
+            super().__setattr__(key, value)
+        elif key in self.model_fields:
+            self.data[key] = value
+            super().__setattr__(key, value)
+        else:
+            self.data[key] = value
+
+    def __delattr__(self, key):
+        """
+        Allows attribute-like deletion from the data dictionary.
+        """
+        if key in {"data", "text_key"} or key.startswith("_"):
+            super().__delattr__(key)
+        else:
+            del self.data[key]
+
+    def __deepcopy__(self, memo):
+        """
+        Custom deepcopy implementation to handle copying of the Data object.
+        """
+        # Create a new Data object with a deep copy of the data dictionary
+        return Data(data=copy.deepcopy(self.data, memo), text_key=self.text_key, default_value=self.default_value)
+
+    # check which attributes the Data has by checking the keys in the data dictionary
+    def __dir__(self):
+        return super().__dir__() + list(self.data.keys())
+
+    def __str__(self) -> str:
+        # return a JSON string representation of the Data atributes
+        try:
+            data = {k: v.to_json() if hasattr(v, "to_json") else v for k, v in self.data.items()}
+            return json.dumps(data, indent=4)
+        except Exception:
+            return str(self.data)
+
+    def __contains__(self, key):
+        return key in self.data
+
+    def __eq__(self, other):
+        return isinstance(other, Data) and self.data == other.data
diff --git a/src/backend/base/langflow/schema/dotdict.py b/src/backend/base/langflow/schema/dotdict.py
new file mode 100644
index 00000000000..f85c928bb0f
--- /dev/null
+++ b/src/backend/base/langflow/schema/dotdict.py
@@ -0,0 +1,71 @@
+class dotdict(dict):
+    """
+    dotdict allows accessing dictionary elements using dot notation (e.g., dict.key instead of dict['key']).
+    It automatically converts nested dictionaries into dotdict instances, enabling dot notation on them as well.
+
+    Note:
+        - Only keys that are valid attribute names (e.g., strings that could be variable names) are accessible via dot notation.
+        - Keys which are not valid Python attribute names or collide with the dict method names (like 'items', 'keys')
+          should be accessed using the traditional dict['key'] notation.
+    """
+
+    def __getattr__(self, attr):
+        """
+        Override dot access to behave like dictionary lookup. Automatically convert nested dicts to dotdicts.
+
+        Args:
+            attr (str): Attribute to access.
+
+        Returns:
+            The value associated with 'attr' in the dictionary, converted to dotdict if it is a dict.
+
+        Raises:
+            AttributeError: If the attribute is not found in the dictionary.
+        """
+        try:
+            value = self[attr]
+            if isinstance(value, dict) and not isinstance(value, dotdict):
+                value = dotdict(value)
+                self[attr] = value  # Update self to nest dotdict for future accesses
+            return value
+        except KeyError:
+            raise AttributeError(f"'dotdict' object has no attribute '{attr}'")
+
+    def __setattr__(self, key, value):
+        """
+        Override attribute setting to work as dictionary item assignment.
+
+        Args:
+            key (str): The key under which to store the value.
+            value: The value to store in the dictionary.
+        """
+        if isinstance(value, dict) and not isinstance(value, dotdict):
+            value = dotdict(value)
+        self[key] = value
+
+    def __delattr__(self, key):
+        """
+        Override attribute deletion to work as dictionary item deletion.
+
+        Args:
+            key (str): The key of the item to delete from the dictionary.
+
+        Raises:
+            AttributeError: If the key is not found in the dictionary.
+        """
+        try:
+            del self[key]
+        except KeyError:
+            raise AttributeError(f"'dotdict' object has no attribute '{key}'")
+
+    def __missing__(self, key):
+        """
+        Handle missing keys by returning an empty dotdict. This allows chaining access without raising KeyError.
+
+        Args:
+            key: The missing key.
+
+        Returns:
+            An empty dotdict instance for the given missing key.
+        """
+        return dotdict()
diff --git a/src/backend/base/langflow/schema/graph.py b/src/backend/base/langflow/schema/graph.py
new file mode 100644
index 00000000000..6b6cca66a0f
--- /dev/null
+++ b/src/backend/base/langflow/schema/graph.py
@@ -0,0 +1,44 @@
+from typing import Any, List, Optional, Union
+
+from pydantic import BaseModel, Field, RootModel
+
+from langflow.schema.schema import InputType
+
+
+class InputValue(BaseModel):
+    components: Optional[List[str]] = []
+    input_value: Optional[str] = None
+    type: Optional[InputType] = Field(
+        "any",
+        description="Defines on which components the input value should be applied. 'any' applies to all input components.",
+    )
+
+
+class Tweaks(RootModel):
+    root: dict[str, Union[str, dict[str, Any]]] = Field(
+        description="A dictionary of tweaks to adjust the flow's execution. Allows customizing flow behavior dynamically. All tweaks are overridden by the input values.",
+    )
+    model_config = {
+        "json_schema_extra": {
+            "examples": [
+                {
+                    "parameter_name": "value",
+                    "Component Name": {"parameter_name": "value"},
+                    "component_id": {"parameter_name": "value"},
+                }
+            ]
+        }
+    }
+
+    # This should behave like a dict
+    def __getitem__(self, key):
+        return self.root[key]
+
+    def __setitem__(self, key, value):
+        self.root[key] = value
+
+    def __delitem__(self, key):
+        del self.root[key]
+
+    def items(self):
+        return self.root.items()
diff --git a/src/backend/base/langflow/schema/image.py b/src/backend/base/langflow/schema/image.py
new file mode 100644
index 00000000000..552f75b8b61
--- /dev/null
+++ b/src/backend/base/langflow/schema/image.py
@@ -0,0 +1,63 @@
+import base64
+
+from PIL import Image as PILImage
+from pydantic import BaseModel
+
+from langflow.services.deps import get_storage_service
+
+IMAGE_ENDPOINT = "/files/images/"
+
+
+def is_image_file(file_path):
+    try:
+        with PILImage.open(file_path) as img:
+            img.verify()  # Verify that it is, in fact, an image
+        return True
+    except (IOError, SyntaxError):
+        return False
+
+
+async def get_file_paths(files: list[str]):
+    storage_service = get_storage_service()
+    file_paths = []
+    for file in files:
+        flow_id, file_name = file.split("/")
+        file_paths.append(storage_service.build_full_path(flow_id=flow_id, file_name=file_name))
+    return file_paths
+
+
+async def get_files(
+    file_paths: list[str],
+    convert_to_base64: bool = False,
+):
+    storage_service = get_storage_service()
+    file_objects: list[str | bytes] = []
+    for file_path in file_paths:
+        flow_id, file_name = file_path.split("/")
+        file_object = await storage_service.get_file(flow_id=flow_id, file_name=file_name)
+        if convert_to_base64:
+            file_base64 = base64.b64encode(file_object).decode("utf-8")
+            file_objects.append(file_base64)
+        else:
+            file_objects.append(file_object)
+    return file_objects
+
+
+class Image(BaseModel):
+    path: str | None = None
+    url: str | None = None
+
+    def to_base64(self):
+        if self.path:
+            files = get_files([self.path], convert_to_base64=True)
+            return files[0]
+        raise ValueError("Image path is not set.")
+
+    def to_content_dict(self):
+        return {
+            "type": "image_url",
+            "image_url": self.to_base64(),
+        }
+
+    def get_url(self):
+        return f"{IMAGE_ENDPOINT}{self.path}"
diff --git a/src/backend/base/langflow/schema/log.py b/src/backend/base/langflow/schema/log.py
new file mode 100644
index 00000000000..771ff0670b6
--- /dev/null
+++ b/src/backend/base/langflow/schema/log.py
@@ -0,0 +1,5 @@
+from typing import Union
+
+from pydantic import BaseModel
+
+LoggableType = Union[str, dict, list, int, float, bool, None, BaseModel]
diff --git a/src/backend/base/langflow/schema/message.py b/src/backend/base/langflow/schema/message.py
new file mode 100644
index 00000000000..c50dab88065
--- /dev/null
+++ b/src/backend/base/langflow/schema/message.py
@@ -0,0 +1,188 @@
+from datetime import datetime, timezone
+from typing import Annotated, Any, AsyncIterator, Iterator, List, Optional
+
+from fastapi.encoders import jsonable_encoder
+from langchain_core.load import load
+from langchain_core.messages import AIMessage, BaseMessage, HumanMessage, SystemMessage
+from langchain_core.prompt_values import ImagePromptValue
+from langchain_core.prompts import BaseChatPromptTemplate, ChatPromptTemplate, PromptTemplate
+from langchain_core.prompts.image import ImagePromptTemplate
+from loguru import logger
+from pydantic import BeforeValidator, ConfigDict, Field, field_serializer, field_validator
+
+from langflow.base.prompts.utils import dict_values_to_string
+from langflow.schema.data import Data
+from langflow.schema.image import Image, get_file_paths, is_image_file
+
+
+def _timestamp_to_str(timestamp: datetime) -> str:
+    return timestamp.strftime("%Y-%m-%d %H:%M:%S")
+
+
+class Message(Data):
+    model_config = ConfigDict(arbitrary_types_allowed=True)
+    # Helper class to deal with image data
+    text_key: str = "text"
+    text: Optional[str | AsyncIterator | Iterator] = Field(default="")
+    sender: Optional[str] = None
+    sender_name: Optional[str] = None
+    files: Optional[list[str | Image]] = Field(default=[])
+    session_id: Optional[str] = Field(default="")
+    timestamp: Annotated[str, BeforeValidator(_timestamp_to_str)] = Field(
+        default=datetime.now(timezone.utc).strftime("%Y-%m-%d %H:%M:%S")
+    )
+    flow_id: Optional[str] = None
+
+    @field_validator("files", mode="before")
+    @classmethod
+    def validate_files(cls, value):
+        if not value:
+            value = []
+        elif not isinstance(value, list):
+            value = [value]
+        return value
+
+    def model_post_init(self, __context: Any) -> None:
+        new_files: List[Any] = []
+        for file in self.files or []:
+            if is_image_file(file):
+                new_files.append(Image(path=file))
+            else:
+                new_files.append(file)
+        self.files = new_files
+        if "timestamp" not in self.data:
+            self.data["timestamp"] = self.timestamp
+
+    def set_flow_id(self, flow_id: str):
+        self.flow_id = flow_id
+
+    def to_lc_message(
+        self,
+    ) -> BaseMessage:
+        """
+        Converts the Data to a BaseMessage.
+
+        Returns:
+            BaseMessage: The converted BaseMessage.
+        """
+        # The idea of this function is to be a helper to convert a Data to a BaseMessage
+        # It will use the "sender" key to determine if the message is Human or AI
+        # If the key is not present, it will default to AI
+        # But first we check if all required keys are present in the data dictionary
+        # they are: "text", "sender"
+        if self.text is None or not self.sender:
+            logger.warning("Missing required keys ('text', 'sender') in Message, defaulting to HumanMessage.")
+
+        if self.sender == "User" or not self.sender:
+            if self.files:
+                contents = [{"type": "text", "text": self.text}]
+                contents.extend(self.get_file_content_dicts())
+                human_message = HumanMessage(content=contents)  # type: ignore
+            else:
+                if not isinstance(self.text, str):
+                    text = ""
+                else:
+                    text = self.text
+                human_message = HumanMessage(
+                    content=text,
+                )
+
+            return human_message
+
+        return AIMessage(content=self.text)  # type: ignore
+
+    @classmethod
+    def from_data(cls, data: "Data") -> "Message":
+        """
+        Converts a BaseMessage to a Data.
+
+        Args:
+            record (BaseMessage): The BaseMessage to convert.
+
+        Returns:
+            Data: The converted Data.
+        """
+
+        return cls(
+            text=data.text,
+            sender=data.sender,
+            sender_name=data.sender_name,
+            files=data.files,
+            session_id=data.session_id,
+            timestamp=data.timestamp,
+            flow_id=data.flow_id,
+        )
+
+    @field_serializer("text", mode="plain")
+    def serialize_text(self, value):
+        if isinstance(value, AsyncIterator):
+            return ""
+        elif isinstance(value, Iterator):
+            return ""
+        return value
+
+    async def get_file_content_dicts(self):
+        content_dicts = []
+        files = await get_file_paths(self.files)
+
+        for file in files:
+            if isinstance(file, Image):
+                content_dicts.append(file.to_content_dict())
+            else:
+                image_template = ImagePromptTemplate()
+                image_prompt_value: ImagePromptValue = image_template.invoke(input={"path": file})
+                content_dicts.append({"type": "image_url", "image_url": image_prompt_value.image_url})
+        return content_dicts
+
+    def load_lc_prompt(self):
+        if "prompt" not in self:
+            raise ValueError("Prompt is required.")
+        loaded_prompt = load(self.prompt)
+        # Rebuild HumanMessages if they are instance of BaseMessage
+        if isinstance(loaded_prompt, ChatPromptTemplate):
+            messages = []
+            for message in loaded_prompt.messages:
+                if isinstance(message, HumanMessage):
+                    messages.append(message)
+                elif message.type == "human":
+                    messages.append(HumanMessage(content=message.content))
+                elif message.type == "system":
+                    messages.append(SystemMessage(content=message.content))
+                elif message.type == "ai":
+                    messages.append(AIMessage(content=message.content))
+            loaded_prompt.messages = messages
+        return loaded_prompt
+
+    @classmethod
+    def from_lc_prompt(
+        cls,
+        prompt: BaseChatPromptTemplate,
+    ):
+        prompt_json = prompt.to_json()
+        return cls(prompt=prompt_json)
+
+    def format_text(self):
+        prompt_template = PromptTemplate.from_template(self.template)
+        variables_with_str_values = dict_values_to_string(self.variables)
+        formatted_prompt = prompt_template.format(**variables_with_str_values)
+        self.text = formatted_prompt
+        return formatted_prompt
+
+    @classmethod
+    async def from_template_and_variables(cls, template: str, **variables):
+        instance = cls(template=template, variables=variables)
+        text = instance.format_text()
+        # Get all Message instances from the kwargs
+        message = HumanMessage(content=text)
+        contents = []
+        for value in variables.values():
+            if isinstance(value, cls) and value.files:
+                content_dicts = await value.get_file_content_dicts()
+                contents.extend(content_dicts)
+        if contents:
+            message = HumanMessage(content=[{"type": "text", "text": text}] + contents)
+
+        prompt_template = ChatPromptTemplate.from_messages([message])  # type: ignore
+        instance.prompt = jsonable_encoder(prompt_template.to_json())
+        instance.messages = instance.prompt.get("kwargs", {}).get("messages", [])
+        return instance
diff --git a/src/backend/base/langflow/schema/schema.py b/src/backend/base/langflow/schema/schema.py
new file mode 100644
index 00000000000..2ef1c2b17c1
--- /dev/null
+++ b/src/backend/base/langflow/schema/schema.py
@@ -0,0 +1,110 @@
+from enum import Enum
+from typing import Generator, Literal, Union
+
+from pydantic import BaseModel
+from typing_extensions import TypedDict
+
+from langflow.schema import Data
+from langflow.schema.message import Message
+
+INPUT_FIELD_NAME = "input_value"
+
+InputType = Literal["chat", "text", "any"]
+OutputType = Literal["chat", "text", "any", "debug"]
+
+
+class LogType(str, Enum):
+    MESSAGE = "message"
+    DATA = "data"
+    STREAM = "stream"
+    OBJECT = "object"
+    ARRAY = "array"
+    TEXT = "text"
+    UNKNOWN = "unknown"
+
+
+class StreamURL(TypedDict):
+    location: str
+
+
+class ErrorLog(TypedDict):
+    errorMessage: str
+    stackTrace: str
+
+
+class OutputLog(BaseModel):
+    message: Union[ErrorLog, StreamURL, dict, list, str]
+    type: str
+
+
+def get_type(payload):
+    result = LogType.UNKNOWN
+    match payload:
+        case Message():
+            result = LogType.MESSAGE
+
+        case Data():
+            result = LogType.DATA
+
+        case dict():
+            result = LogType.OBJECT
+
+        case list():
+            result = LogType.ARRAY
+
+        case str():
+            result = LogType.TEXT
+
+    if result == LogType.UNKNOWN:
+        if payload and isinstance(payload, Generator):
+            result = LogType.STREAM
+
+        elif isinstance(payload, Message) and isinstance(payload.text, Generator):
+            result = LogType.STREAM
+
+    return result
+
+
+def get_message(payload):
+    message = None
+    if hasattr(payload, "data"):
+        message = payload.data
+
+    elif hasattr(payload, "model_dump"):
+        message = payload.model_dump()
+
+    if message is None and isinstance(payload, (dict, str, Data)):
+        message = payload.data if isinstance(payload, Data) else payload
+
+    return message or payload
+
+
+def build_output_logs(vertex, result) -> dict:
+    outputs: dict[str, OutputLog] = dict()
+    component_instance = result[0]
+    for index, output in enumerate(vertex.outputs):
+        if component_instance.status is None:
+            payload = component_instance._results
+            output_result = payload.get(output["name"])
+        else:
+            payload = component_instance._artifacts
+            output_result = payload.get(output["name"], {}).get("raw")
+        message = get_message(output_result)
+        _type = get_type(output_result)
+
+        match _type:
+            case LogType.STREAM if "stream_url" in message:
+                message = StreamURL(location=message["stream_url"])
+
+            case LogType.STREAM:
+                message = ""
+
+            case LogType.MESSAGE if hasattr(message, "message"):
+                message = message.message
+
+            case LogType.UNKNOWN:
+                message = ""
+        name = output.get("name", f"output_{index}")
+        outputs |= {name: OutputLog(message=message, type=_type).model_dump()}
+
+    return outputs
diff --git a/src/backend/base/langflow/server.py b/src/backend/base/langflow/server.py
new file mode 100644
index 00000000000..67061fbdd7d
--- /dev/null
+++ b/src/backend/base/langflow/server.py
@@ -0,0 +1,60 @@
+import asyncio
+import logging
+import signal
+
+from gunicorn import glogging  # type: ignore
+from gunicorn.app.base import BaseApplication  # type: ignore
+from uvicorn.workers import UvicornWorker
+
+from langflow.utils.logger import InterceptHandler  # type: ignore
+
+
+class LangflowUvicornWorker(UvicornWorker):
+    CONFIG_KWARGS = {"loop": "asyncio"}
+
+    def _install_sigint_handler(self) -> None:
+        """Install a SIGQUIT handler on workers.
+
+        - https://github.com/encode/uvicorn/issues/1116
+        - https://github.com/benoitc/gunicorn/issues/2604
+        """
+
+        loop = asyncio.get_running_loop()
+        loop.add_signal_handler(signal.SIGINT, self.handle_exit, signal.SIGINT, None)
+
+    async def _serve(self) -> None:
+        # We do this to not log the "Worker (pid:XXXXX) was sent SIGINT"
+        self._install_sigint_handler()
+        await super()._serve()
+
+
+class Logger(glogging.Logger):
+    """Implements and overrides the gunicorn logging interface.
+
+    This class inherits from the standard gunicorn logger and overrides it by
+    replacing the handlers with `InterceptHandler` in order to route the
+    gunicorn logs to loguru.
+    """
+
+    def __init__(self, cfg):
+        super().__init__(cfg)
+        logging.getLogger("gunicorn.error").handlers = [InterceptHandler()]
+        logging.getLogger("gunicorn.access").handlers = [InterceptHandler()]
+
+
+class LangflowApplication(BaseApplication):
+    def __init__(self, app, options=None):
+        self.options = options or {}
+
+        self.options["worker_class"] = "langflow.server.LangflowUvicornWorker"
+        self.options["logger_class"] = Logger
+        self.application = app
+        super().__init__()
+
+    def load_config(self):
+        config = {key: value for key, value in self.options.items() if key in self.cfg.settings and value is not None}
+        for key, value in config.items():
+            self.cfg.set(key.lower(), value)
+
+    def load(self):
+        return self.application
diff --git a/src/backend/langflow/services/__init__.py b/src/backend/base/langflow/services/__init__.py
similarity index 100%
rename from src/backend/langflow/services/__init__.py
rename to src/backend/base/langflow/services/__init__.py
diff --git a/src/backend/langflow/interface/wrappers/__init__.py b/src/backend/base/langflow/services/auth/__init__.py
similarity index 100%
rename from src/backend/langflow/interface/wrappers/__init__.py
rename to src/backend/base/langflow/services/auth/__init__.py
diff --git a/src/backend/base/langflow/services/auth/factory.py b/src/backend/base/langflow/services/auth/factory.py
new file mode 100644
index 00000000000..63d5d2a6d17
--- /dev/null
+++ b/src/backend/base/langflow/services/auth/factory.py
@@ -0,0 +1,12 @@
+from langflow.services.auth.service import AuthService
+from langflow.services.factory import ServiceFactory
+
+
+class AuthServiceFactory(ServiceFactory):
+    name = "auth_service"
+
+    def __init__(self):
+        super().__init__(AuthService)
+
+    def create(self, settings_service):
+        return AuthService(settings_service)
diff --git a/src/backend/base/langflow/services/auth/service.py b/src/backend/base/langflow/services/auth/service.py
new file mode 100644
index 00000000000..5c3a89af6e2
--- /dev/null
+++ b/src/backend/base/langflow/services/auth/service.py
@@ -0,0 +1,13 @@
+from typing import TYPE_CHECKING
+
+from langflow.services.base import Service
+
+if TYPE_CHECKING:
+    from langflow.services.settings.service import SettingsService
+
+
+class AuthService(Service):
+    name = "auth_service"
+
+    def __init__(self, settings_service: "SettingsService"):
+        self.settings_service = settings_service
diff --git a/src/backend/base/langflow/services/auth/utils.py b/src/backend/base/langflow/services/auth/utils.py
new file mode 100644
index 00000000000..b0a35e4744b
--- /dev/null
+++ b/src/backend/base/langflow/services/auth/utils.py
@@ -0,0 +1,362 @@
+import warnings
+from datetime import datetime, timedelta, timezone
+from typing import Annotated, Coroutine, Optional, Union
+from uuid import UUID
+
+from cryptography.fernet import Fernet
+from fastapi import Depends, HTTPException, Security, status
+from fastapi.security import APIKeyHeader, APIKeyQuery, OAuth2PasswordBearer
+from jose import JWTError, jwt
+from loguru import logger
+from sqlmodel import Session
+from starlette.websockets import WebSocket
+
+from langflow.services.database.models.api_key.crud import check_key
+from langflow.services.database.models.api_key.model import ApiKey
+from langflow.services.database.models.user.crud import get_user_by_id, get_user_by_username, update_user_last_login_at
+from langflow.services.database.models.user.model import User
+from langflow.services.deps import get_session, get_settings_service
+
+oauth2_login = OAuth2PasswordBearer(tokenUrl="api/v1/login", auto_error=False)
+
+API_KEY_NAME = "x-api-key"
+
+api_key_query = APIKeyQuery(name=API_KEY_NAME, scheme_name="API key query", auto_error=False)
+api_key_header = APIKeyHeader(name=API_KEY_NAME, scheme_name="API key header", auto_error=False)
+
+
+# Source: https://github.com/mrtolkien/fastapi_simple_security/blob/master/fastapi_simple_security/security_api_key.py
+async def api_key_security(
+    query_param: str = Security(api_key_query),
+    header_param: str = Security(api_key_header),
+    db: Session = Depends(get_session),
+) -> Optional[User]:
+    settings_service = get_settings_service()
+    result: Optional[Union[ApiKey, User]] = None
+    if settings_service.auth_settings.AUTO_LOGIN:
+        # Get the first user
+        if not settings_service.auth_settings.SUPERUSER:
+            raise HTTPException(
+                status_code=status.HTTP_400_BAD_REQUEST,
+                detail="Missing first superuser credentials",
+            )
+
+        result = get_user_by_username(db, settings_service.auth_settings.SUPERUSER)
+
+    elif not query_param and not header_param:
+        raise HTTPException(
+            status_code=status.HTTP_403_FORBIDDEN,
+            detail="An API key must be passed as query or header",
+        )
+
+    elif query_param:
+        result = check_key(db, query_param)
+
+    else:
+        result = check_key(db, header_param)
+
+    if not result:
+        raise HTTPException(
+            status_code=status.HTTP_403_FORBIDDEN,
+            detail="Invalid or missing API key",
+        )
+    if isinstance(result, ApiKey):
+        return result.user
+    elif isinstance(result, User):
+        return result
+
+
+async def get_current_user(
+    token: str = Security(oauth2_login),
+    query_param: str = Security(api_key_query),
+    header_param: str = Security(api_key_header),
+    db: Session = Depends(get_session),
+) -> User:
+    if token:
+        return await get_current_user_by_jwt(token, db)
+    else:
+        user = await api_key_security(query_param, header_param, db)
+        if user:
+            return user
+
+        raise HTTPException(
+            status_code=status.HTTP_403_FORBIDDEN,
+            detail="Invalid or missing API key",
+        )
+
+
+async def get_current_user_by_jwt(
+    token: Annotated[str, Depends(oauth2_login)],
+    db: Session = Depends(get_session),
+) -> User:
+    settings_service = get_settings_service()
+
+    if isinstance(token, Coroutine):
+        token = await token
+
+    secret_key = settings_service.auth_settings.SECRET_KEY.get_secret_value()
+    if secret_key is None:
+        logger.error("Secret key is not set in settings.")
+        raise HTTPException(
+            status_code=status.HTTP_401_UNAUTHORIZED,
+            # Careful not to leak sensitive information
+            detail="Authentication failure: Verify authentication settings.",
+            headers={"WWW-Authenticate": "Bearer"},
+        )
+
+    try:
+        with warnings.catch_warnings():
+            warnings.simplefilter("ignore")
+            payload = jwt.decode(token, secret_key, algorithms=[settings_service.auth_settings.ALGORITHM])
+        user_id: UUID = payload.get("sub")  # type: ignore
+        token_type: str = payload.get("type")  # type: ignore
+        if expires := payload.get("exp", None):
+            expires_datetime = datetime.fromtimestamp(expires, timezone.utc)
+            if datetime.now(timezone.utc) > expires_datetime:
+                logger.info("Token expired for user")
+                raise HTTPException(
+                    status_code=status.HTTP_401_UNAUTHORIZED,
+                    detail="Token has expired.",
+                    headers={"WWW-Authenticate": "Bearer"},
+                )
+
+        if user_id is None or token_type is None:
+            logger.info(f"Invalid token payload. Token type: {token_type}")
+            raise HTTPException(
+                status_code=status.HTTP_401_UNAUTHORIZED,
+                detail="Invalid token details.",
+                headers={"WWW-Authenticate": "Bearer"},
+            )
+    except JWTError as e:
+        logger.error(f"JWT decoding error: {e}")
+        logger.exception(e)
+        raise HTTPException(
+            status_code=status.HTTP_401_UNAUTHORIZED,
+            detail="Could not validate credentials",
+            headers={"WWW-Authenticate": "Bearer"},
+        ) from e
+
+    user = get_user_by_id(db, user_id)
+    if user is None or not user.is_active:
+        logger.info("User not found or inactive.")
+        raise HTTPException(
+            status_code=status.HTTP_401_UNAUTHORIZED,
+            detail="User not found or is inactive.",
+            headers={"WWW-Authenticate": "Bearer"},
+        )
+    return user
+
+
+async def get_current_user_for_websocket(
+    websocket: WebSocket,
+    db: Session = Depends(get_session),
+    query_param: str = Security(api_key_query),
+) -> Optional[User]:
+    token = websocket.query_params.get("token")
+    api_key = websocket.query_params.get("x-api-key")
+    if token:
+        return await get_current_user_by_jwt(token, db)
+    elif api_key:
+        return await api_key_security(api_key, query_param, db)
+    else:
+        return None
+
+
+def get_current_active_user(current_user: Annotated[User, Depends(get_current_user)]):
+    if not current_user.is_active:
+        raise HTTPException(status_code=400, detail="Inactive user")
+    return current_user
+
+
+def get_current_active_superuser(current_user: Annotated[User, Depends(get_current_user)]) -> User:
+    if not current_user.is_active:
+        raise HTTPException(status_code=401, detail="Inactive user")
+    if not current_user.is_superuser:
+        raise HTTPException(status_code=400, detail="The user doesn't have enough privileges")
+    return current_user
+
+
+def verify_password(plain_password, hashed_password):
+    settings_service = get_settings_service()
+    return settings_service.auth_settings.pwd_context.verify(plain_password, hashed_password)
+
+
+def get_password_hash(password):
+    settings_service = get_settings_service()
+    return settings_service.auth_settings.pwd_context.hash(password)
+
+
+def create_token(data: dict, expires_delta: timedelta):
+    settings_service = get_settings_service()
+
+    to_encode = data.copy()
+    expire = datetime.now(timezone.utc) + expires_delta
+    to_encode["exp"] = expire
+
+    return jwt.encode(
+        to_encode,
+        settings_service.auth_settings.SECRET_KEY.get_secret_value(),
+        algorithm=settings_service.auth_settings.ALGORITHM,
+    )
+
+
+def create_super_user(
+    username: str,
+    password: str,
+    db: Session = Depends(get_session),
+) -> User:
+    super_user = get_user_by_username(db, username)
+
+    if not super_user:
+        super_user = User(
+            username=username,
+            password=get_password_hash(password),
+            is_superuser=True,
+            is_active=True,
+            last_login_at=None,
+        )
+
+        db.add(super_user)
+        db.commit()
+        db.refresh(super_user)
+
+    return super_user
+
+
+def create_user_longterm_token(db: Session = Depends(get_session)) -> tuple[UUID, dict]:
+    settings_service = get_settings_service()
+
+    username = settings_service.auth_settings.SUPERUSER
+    super_user = get_user_by_username(db, username)
+    if not super_user:
+        raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="Super user hasn't been created")
+    access_token_expires_longterm = timedelta(days=365)
+    access_token = create_token(
+        data={"sub": str(super_user.id), "type": "access"},
+        expires_delta=access_token_expires_longterm,
+    )
+
+    # Update: last_login_at
+    update_user_last_login_at(super_user.id, db)
+
+    return super_user.id, {
+        "access_token": access_token,
+        "refresh_token": None,
+        "token_type": "bearer",
+    }
+
+
+def create_user_api_key(user_id: UUID) -> dict:
+    access_token = create_token(
+        data={"sub": str(user_id), "type": "api_key"},
+        expires_delta=timedelta(days=365 * 2),
+    )
+
+    return {"api_key": access_token}
+
+
+def get_user_id_from_token(token: str) -> UUID:
+    try:
+        user_id = jwt.get_unverified_claims(token)["sub"]
+        return UUID(user_id)
+    except (KeyError, JWTError, ValueError):
+        return UUID(int=0)
+
+
+def create_user_tokens(user_id: UUID, db: Session = Depends(get_session), update_last_login: bool = False) -> dict:
+    settings_service = get_settings_service()
+
+    access_token_expires = timedelta(seconds=settings_service.auth_settings.ACCESS_TOKEN_EXPIRE_SECONDS)
+    access_token = create_token(
+        data={"sub": str(user_id), "type": "access"},
+        expires_delta=access_token_expires,
+    )
+
+    refresh_token_expires = timedelta(seconds=settings_service.auth_settings.REFRESH_TOKEN_EXPIRE_SECONDS)
+    refresh_token = create_token(
+        data={"sub": str(user_id), "type": "refresh"},
+        expires_delta=refresh_token_expires,
+    )
+
+    # Update: last_login_at
+    if update_last_login:
+        update_user_last_login_at(user_id, db)
+
+    return {
+        "access_token": access_token,
+        "refresh_token": refresh_token,
+        "token_type": "bearer",
+    }
+
+
+def create_refresh_token(refresh_token: str, db: Session = Depends(get_session)):
+    settings_service = get_settings_service()
+
+    try:
+        # Ignore warning about datetime.utcnow
+        with warnings.catch_warnings():
+            warnings.simplefilter("ignore")
+            payload = jwt.decode(
+                refresh_token,
+                settings_service.auth_settings.SECRET_KEY.get_secret_value(),
+                algorithms=[settings_service.auth_settings.ALGORITHM],
+            )
+        user_id: UUID = payload.get("sub")  # type: ignore
+        token_type: str = payload.get("type")  # type: ignore
+        if user_id is None or token_type is None:
+            raise HTTPException(status_code=status.HTTP_401_UNAUTHORIZED, detail="Invalid refresh token")
+
+        return create_user_tokens(user_id, db)
+
+    except JWTError as e:
+        logger.error(f"JWT decoding error: {e}")
+        raise HTTPException(
+            status_code=status.HTTP_401_UNAUTHORIZED,
+            detail="Invalid refresh token",
+        ) from e
+
+
+def authenticate_user(username: str, password: str, db: Session = Depends(get_session)) -> Optional[User]:
+    user = get_user_by_username(db, username)
+
+    if not user:
+        return None
+
+    if not user.is_active:
+        if not user.last_login_at:
+            raise HTTPException(status_code=400, detail="Waiting for approval")
+        raise HTTPException(status_code=400, detail="Inactive user")
+
+    return user if verify_password(password, user.password) else None
+
+
+def add_padding(s):
+    # Calculate the number of padding characters needed
+    padding_needed = 4 - len(s) % 4
+    return s + "=" * padding_needed
+
+
+def get_fernet(settings_service=Depends(get_settings_service)):
+    SECRET_KEY = settings_service.auth_settings.SECRET_KEY.get_secret_value()
+    # It's important that your secret key is 32 url-safe base64-encoded byte
+    padded_secret_key = add_padding(SECRET_KEY)
+    fernet = Fernet(padded_secret_key)
+    return fernet
+
+
+def encrypt_api_key(api_key: str, settings_service=Depends(get_settings_service)):
+    fernet = get_fernet(settings_service)
+    # Two-way encryption
+    encrypted_key = fernet.encrypt(api_key.encode())
+    return encrypted_key.decode()
+
+
+def decrypt_api_key(encrypted_api_key: str, settings_service=Depends(get_settings_service)):
+    fernet = get_fernet(settings_service)
+    # Two-way decryption
+    if isinstance(encrypted_api_key, str):
+        encoded_bytes = encrypted_api_key.encode()
+    else:
+        encoded_bytes = encrypted_api_key
+    decrypted_key = fernet.decrypt(encoded_bytes).decode()
+    return decrypted_key
diff --git a/src/backend/base/langflow/services/base.py b/src/backend/base/langflow/services/base.py
new file mode 100644
index 00000000000..594d697bc99
--- /dev/null
+++ b/src/backend/base/langflow/services/base.py
@@ -0,0 +1,29 @@
+from abc import ABC
+
+
+class Service(ABC):
+    name: str
+    ready: bool = False
+
+    def get_schema(self):
+        """Build a dictionary listing all methods, their parameters, types, return types and documentation."""
+
+        schema = {}
+        ignore = ["teardown", "set_ready"]
+        for method in dir(self):
+            if method.startswith("_") or method in ignore:
+                continue
+            func = getattr(self, method)
+            schema[method] = {
+                "name": method,
+                "parameters": func.__annotations__,
+                "return": func.__annotations__.get("return"),
+                "documentation": func.__doc__,
+            }
+        return schema
+
+    def teardown(self):
+        pass
+
+    def set_ready(self):
+        self.ready = True
diff --git a/src/backend/base/langflow/services/cache/__init__.py b/src/backend/base/langflow/services/cache/__init__.py
new file mode 100644
index 00000000000..48fb9837abc
--- /dev/null
+++ b/src/backend/base/langflow/services/cache/__init__.py
@@ -0,0 +1,12 @@
+from langflow.services.cache.service import AsyncInMemoryCache, CacheService, RedisCache, ThreadingInMemoryCache
+
+from . import factory, service
+
+__all__ = [
+    "factory",
+    "service",
+    "ThreadingInMemoryCache",
+    "AsyncInMemoryCache",
+    "CacheService",
+    "RedisCache",
+]
diff --git a/src/backend/base/langflow/services/cache/base.py b/src/backend/base/langflow/services/cache/base.py
new file mode 100644
index 00000000000..02d64518322
--- /dev/null
+++ b/src/backend/base/langflow/services/cache/base.py
@@ -0,0 +1,171 @@
+import abc
+import asyncio
+import threading
+from typing import Generic, Optional, TypeVar
+
+from langflow.services.base import Service
+
+LockType = TypeVar("LockType", bound=threading.Lock)
+AsyncLockType = TypeVar("AsyncLockType", bound=asyncio.Lock)
+
+
+class CacheService(Service, Generic[LockType]):
+    """
+    Abstract base class for a cache.
+    """
+
+    name = "cache_service"
+
+    @abc.abstractmethod
+    def get(self, key, lock: Optional[LockType] = None):
+        """
+        Retrieve an item from the cache.
+
+        Args:
+            key: The key of the item to retrieve.
+
+        Returns:
+            The value associated with the key, or None if the key is not found.
+        """
+
+    @abc.abstractmethod
+    def set(self, key, value, lock: Optional[LockType] = None):
+        """
+        Add an item to the cache.
+
+        Args:
+            key: The key of the item.
+            value: The value to cache.
+        """
+
+    @abc.abstractmethod
+    def upsert(self, key, value, lock: Optional[LockType] = None):
+        """
+        Add an item to the cache if it doesn't exist, or update it if it does.
+
+        Args:
+            key: The key of the item.
+            value: The value to cache.
+        """
+
+    @abc.abstractmethod
+    def delete(self, key, lock: Optional[LockType] = None):
+        """
+        Remove an item from the cache.
+
+        Args:
+            key: The key of the item to remove.
+        """
+
+    @abc.abstractmethod
+    def clear(self, lock: Optional[LockType] = None):
+        """
+        Clear all items from the cache.
+        """
+
+    @abc.abstractmethod
+    def __contains__(self, key):
+        """
+        Check if the key is in the cache.
+
+        Args:
+            key: The key of the item to check.
+
+        Returns:
+            True if the key is in the cache, False otherwise.
+        """
+
+    @abc.abstractmethod
+    def __getitem__(self, key):
+        """
+        Retrieve an item from the cache using the square bracket notation.
+
+        Args:
+            key: The key of the item to retrieve.
+        """
+
+    @abc.abstractmethod
+    def __setitem__(self, key, value):
+        """
+        Add an item to the cache using the square bracket notation.
+
+        Args:
+            key: The key of the item.
+            value: The value to cache.
+        """
+
+    @abc.abstractmethod
+    def __delitem__(self, key):
+        """
+        Remove an item from the cache using the square bracket notation.
+
+        Args:
+            key: The key of the item to remove.
+        """
+
+
+class AsyncBaseCacheService(Service, Generic[AsyncLockType]):
+    """
+    Abstract base class for a async cache.
+    """
+
+    name = "cache_service"
+
+    @abc.abstractmethod
+    async def get(self, key, lock: Optional[AsyncLockType] = None):
+        """
+        Retrieve an item from the cache.
+
+        Args:
+            key: The key of the item to retrieve.
+
+        Returns:
+            The value associated with the key, or None if the key is not found.
+        """
+
+    @abc.abstractmethod
+    async def set(self, key, value, lock: Optional[AsyncLockType] = None):
+        """
+        Add an item to the cache.
+
+        Args:
+            key: The key of the item.
+            value: The value to cache.
+        """
+
+    @abc.abstractmethod
+    async def upsert(self, key, value, lock: Optional[AsyncLockType] = None):
+        """
+        Add an item to the cache if it doesn't exist, or update it if it does.
+
+        Args:
+            key: The key of the item.
+            value: The value to cache.
+        """
+
+    @abc.abstractmethod
+    async def delete(self, key, lock: Optional[AsyncLockType] = None):
+        """
+        Remove an item from the cache.
+
+        Args:
+            key: The key of the item to remove.
+        """
+
+    @abc.abstractmethod
+    async def clear(self, lock: Optional[AsyncLockType] = None):
+        """
+        Clear all items from the cache.
+        """
+
+    @abc.abstractmethod
+    def __contains__(self, key):
+        """
+        Check if the key is in the cache.
+
+        Args:
+            key: The key of the item to check.
+
+        Returns:
+            True if the key is in the cache, False otherwise.
+        """
diff --git a/src/backend/base/langflow/services/cache/factory.py b/src/backend/base/langflow/services/cache/factory.py
new file mode 100644
index 00000000000..638d5ff733c
--- /dev/null
+++ b/src/backend/base/langflow/services/cache/factory.py
@@ -0,0 +1,37 @@
+from typing import TYPE_CHECKING
+
+from langflow.services.cache.service import AsyncInMemoryCache, CacheService, RedisCache, ThreadingInMemoryCache
+from langflow.services.factory import ServiceFactory
+from langflow.utils.logger import logger
+
+if TYPE_CHECKING:
+    from langflow.services.settings.service import SettingsService
+
+
+class CacheServiceFactory(ServiceFactory):
+    def __init__(self):
+        super().__init__(CacheService)
+
+    def create(self, settings_service: "SettingsService"):
+        # Here you would have logic to create and configure a CacheService
+        # based on the settings_service
+
+        if settings_service.settings.cache_type == "redis":
+            logger.debug("Creating Redis cache")
+            redis_cache: RedisCache = RedisCache(
+                host=settings_service.settings.redis_host,
+                port=settings_service.settings.redis_port,
+                db=settings_service.settings.redis_db,
+                url=settings_service.settings.redis_url,
+                expiration_time=settings_service.settings.redis_cache_expire,
+            )
+            if redis_cache.is_connected():
+                logger.debug("Redis cache is connected")
+                return redis_cache
+            logger.warning("Redis cache is not connected, falling back to in-memory cache")
+            return AsyncInMemoryCache()
+
+        elif settings_service.settings.cache_type == "memory":
+            return ThreadingInMemoryCache()
+        elif settings_service.settings.cache_type == "async":
+            return AsyncInMemoryCache()
diff --git a/src/backend/base/langflow/services/cache/service.py b/src/backend/base/langflow/services/cache/service.py
new file mode 100644
index 00000000000..b21a17d31a2
--- /dev/null
+++ b/src/backend/base/langflow/services/cache/service.py
@@ -0,0 +1,415 @@
+import asyncio
+import pickle
+import threading
+import time
+from collections import OrderedDict
+from typing import Generic, Optional
+
+from loguru import logger
+
+from langflow.services.cache.base import AsyncBaseCacheService, AsyncLockType, CacheService, LockType
+from langflow.services.cache.utils import CacheMiss
+
+CACHE_MISS = CacheMiss()
+
+
+class ThreadingInMemoryCache(CacheService, Generic[LockType]):
+    """
+    A simple in-memory cache using an OrderedDict.
+
+    This cache supports setting a maximum size and expiration time for cached items.
+    When the cache is full, it uses a Least Recently Used (LRU) eviction policy.
+    Thread-safe using a threading Lock.
+
+    Attributes:
+        max_size (int, optional): Maximum number of items to store in the cache.
+        expiration_time (int, optional): Time in seconds after which a cached item expires. Default is 1 hour.
+
+    Example:
+
+        cache = InMemoryCache(max_size=3, expiration_time=5)
+
+        # setting cache values
+        cache.set("a", 1)
+        cache.set("b", 2)
+        cache["c"] = 3
+
+        # getting cache values
+        a = cache.get("a")
+        b = cache["b"]
+    """
+
+    def __init__(self, max_size=None, expiration_time=60 * 60):
+        """
+        Initialize a new InMemoryCache instance.
+
+        Args:
+            max_size (int, optional): Maximum number of items to store in the cache.
+            expiration_time (int, optional): Time in seconds after which a cached item expires. Default is 1 hour.
+        """
+        self._cache = OrderedDict()
+        self._lock = threading.RLock()
+        self.max_size = max_size
+        self.expiration_time = expiration_time
+
+    def get(self, key, lock: Optional[threading.Lock] = None):
+        """
+        Retrieve an item from the cache.
+
+        Args:
+            key: The key of the item to retrieve.
+
+        Returns:
+            The value associated with the key, or None if the key is not found or the item has expired.
+        """
+        with lock or self._lock:
+            return self._get_without_lock(key)
+
+    def _get_without_lock(self, key):
+        """
+        Retrieve an item from the cache without acquiring the lock.
+        """
+        if item := self._cache.get(key):
+            if self.expiration_time is None or time.time() - item["time"] < self.expiration_time:
+                # Move the key to the end to make it recently used
+                self._cache.move_to_end(key)
+                # Check if the value is pickled
+                if isinstance(item["value"], bytes):
+                    value = pickle.loads(item["value"])
+                else:
+                    value = item["value"]
+                return value
+            else:
+                self.delete(key)
+        return None
+
+    def set(self, key, value, lock: Optional[threading.Lock] = None):
+        """
+        Add an item to the cache.
+
+        If the cache is full, the least recently used item is evicted.
+
+        Args:
+            key: The key of the item.
+            value: The value to cache.
+        """
+        with lock or self._lock:
+            if key in self._cache:
+                # Remove existing key before re-inserting to update order
+                self.delete(key)
+            elif self.max_size and len(self._cache) >= self.max_size:
+                # Remove least recently used item
+                self._cache.popitem(last=False)
+            # pickle locally to mimic Redis
+
+            self._cache[key] = {"value": value, "time": time.time()}
+
+    def upsert(self, key, value, lock: Optional[threading.Lock] = None):
+        """
+        Inserts or updates a value in the cache.
+        If the existing value and the new value are both dictionaries, they are merged.
+
+        Args:
+            key: The key of the item.
+            value: The value to insert or update.
+        """
+        with lock or self._lock:
+            existing_value = self._get_without_lock(key)
+            if existing_value is not None and isinstance(existing_value, dict) and isinstance(value, dict):
+                existing_value.update(value)
+                value = existing_value
+
+            self.set(key, value)
+
+    def get_or_set(self, key, value, lock: Optional[threading.Lock] = None):
+        """
+        Retrieve an item from the cache. If the item does not exist,
+        set it with the provided value.
+
+        Args:
+            key: The key of the item.
+            value: The value to cache if the item doesn't exist.
+
+        Returns:
+            The cached value associated with the key.
+        """
+        with lock or self._lock:
+            if key in self._cache:
+                return self.get(key)
+            self.set(key, value)
+            return value
+
+    def delete(self, key, lock: Optional[threading.Lock] = None):
+        """
+        Remove an item from the cache.
+
+        Args:
+            key: The key of the item to remove.
+        """
+        with lock or self._lock:
+            self._cache.pop(key, None)
+
+    def clear(self, lock: Optional[threading.Lock] = None):
+        """
+        Clear all items from the cache.
+        """
+        with lock or self._lock:
+            self._cache.clear()
+
+    def __contains__(self, key):
+        """Check if the key is in the cache."""
+        return key in self._cache
+
+    def __getitem__(self, key):
+        """Retrieve an item from the cache using the square bracket notation."""
+        return self.get(key)
+
+    def __setitem__(self, key, value):
+        """Add an item to the cache using the square bracket notation."""
+        self.set(key, value)
+
+    def __delitem__(self, key):
+        """Remove an item from the cache using the square bracket notation."""
+        self.delete(key)
+
+    def __len__(self):
+        """Return the number of items in the cache."""
+        return len(self._cache)
+
+    def __repr__(self):
+        """Return a string representation of the InMemoryCache instance."""
+        return f"InMemoryCache(max_size={self.max_size}, expiration_time={self.expiration_time})"
+
+
+class RedisCache(CacheService, Generic[LockType]):
+    """
+    A Redis-based cache implementation.
+
+    This cache supports setting an expiration time for cached items.
+
+    Attributes:
+        expiration_time (int, optional): Time in seconds after which a cached item expires. Default is 1 hour.
+
+    Example:
+
+        cache = RedisCache(expiration_time=5)
+
+        # setting cache values
+        cache.set("a", 1)
+        cache.set("b", 2)
+        cache["c"] = 3
+
+        # getting cache values
+        a = cache.get("a")
+        b = cache["b"]
+    """
+
+    def __init__(self, host="localhost", port=6379, db=0, url=None, expiration_time=60 * 60):
+        """
+        Initialize a new RedisCache instance.
+
+        Args:
+            host (str, optional): Redis host.
+            port (int, optional): Redis port.
+            db (int, optional): Redis DB.
+            expiration_time (int, optional): Time in seconds after which a
+            ached item expires. Default is 1 hour.
+        """
+        try:
+            import redis
+        except ImportError as exc:
+            raise ImportError(
+                "RedisCache requires the redis-py package."
+                " Please install Langflow with the deploy extra: pip install langflow[deploy]"
+            ) from exc
+        logger.warning(
+            "RedisCache is an experimental feature and may not work as expected."
+            " Please report any issues to our GitHub repository."
+        )
+        if url:
+            self._client = redis.StrictRedis.from_url(url)
+        else:
+            self._client = redis.StrictRedis(host=host, port=port, db=db)
+        self.expiration_time = expiration_time
+
+    # check connection
+    def is_connected(self):
+        """
+        Check if the Redis client is connected.
+        """
+        import redis
+
+        try:
+            self._client.ping()
+            return True
+        except redis.exceptions.ConnectionError as exc:
+            logger.error(f"RedisCache could not connect to the Redis server: {exc}")
+            return False
+
+    async def get(self, key, lock=None):
+        """
+        Retrieve an item from the cache.
+
+        Args:
+            key: The key of the item to retrieve.
+
+        Returns:
+            The value associated with the key, or None if the key is not found.
+        """
+        if key is None:
+            return None
+        value = self._client.get(str(key))
+        return pickle.loads(value) if value else None
+
+    async def set(self, key, value, lock=None):
+        """
+        Add an item to the cache.
+
+        Args:
+            key: The key of the item.
+            value: The value to cache.
+        """
+        try:
+            if pickled := pickle.dumps(value):
+                result = self._client.setex(str(key), self.expiration_time, pickled)
+                if not result:
+                    raise ValueError("RedisCache could not set the value.")
+        except TypeError as exc:
+            raise TypeError("RedisCache only accepts values that can be pickled. ") from exc
+
+    async def upsert(self, key, value, lock=None):
+        """
+        Inserts or updates a value in the cache.
+        If the existing value and the new value are both dictionaries, they are merged.
+
+        Args:
+            key: The key of the item.
+            value: The value to insert or update.
+        """
+        if key is None:
+            return
+        existing_value = await self.get(key)
+        if existing_value is not None and isinstance(existing_value, dict) and isinstance(value, dict):
+            existing_value.update(value)
+            value = existing_value
+
+        await self.set(key, value)
+
+    async def delete(self, key, lock=None):
+        """
+        Remove an item from the cache.
+
+        Args:
+            key: The key of the item to remove.
+        """
+        self._client.delete(key)
+
+    async def clear(self, lock=None):
+        """
+        Clear all items from the cache.
+        """
+        self._client.flushdb()
+
+    def __contains__(self, key):
+        """Check if the key is in the cache."""
+        return False if key is None else self._client.exists(str(key))
+
+    async def __getitem__(self, key):
+        """Retrieve an item from the cache using the square bracket notation."""
+        return self.get(key)
+
+    async def __setitem__(self, key, value):
+        """Add an item to the cache using the square bracket notation."""
+        self.set(key, value)
+
+    async def __delitem__(self, key):
+        """Remove an item from the cache using the square bracket notation."""
+        self.delete(key)
+
+    def __repr__(self):
+        """Return a string representation of the RedisCache instance."""
+        return f"RedisCache(expiration_time={self.expiration_time})"
+
+
+class AsyncInMemoryCache(AsyncBaseCacheService, Generic[AsyncLockType]):
+    def __init__(self, max_size=None, expiration_time=3600):
+        self.cache = OrderedDict()
+
+        self.lock = asyncio.Lock()
+        self.max_size = max_size
+        self.expiration_time = expiration_time
+
+    async def get(self, key, lock: Optional[asyncio.Lock] = None):
+        if not lock:
+            async with self.lock:
+                return await self._get(key)
+        else:
+            return await self._get(key)
+
+    async def _get(self, key):
+        item = self.cache.get(key, None)
+        if item:
+            if time.time() - item["time"] < self.expiration_time:
+                self.cache.move_to_end(key)
+                return pickle.loads(item["value"]) if isinstance(item["value"], bytes) else item["value"]
+            else:
+                logger.info(f"Cache item for key '{key}' has expired and will be deleted.")
+                await self._delete(key)  # Log before deleting the expired item
+        return CACHE_MISS
+
+    async def set(self, key, value, lock: Optional[asyncio.Lock] = None):
+        if not lock:
+            async with self.lock:
+                await self._set(
+                    key,
+                    value,
+                )
+        else:
+            await self._set(
+                key,
+                value,
+            )
+
+    async def _set(self, key, value):
+        if self.max_size and len(self.cache) >= self.max_size:
+            self.cache.popitem(last=False)
+        self.cache[key] = {"value": value, "time": time.time()}
+        self.cache.move_to_end(key)
+
+    async def delete(self, key, lock: Optional[asyncio.Lock] = None):
+        if not lock:
+            async with self.lock:
+                await self._delete(key)
+        else:
+            await self._delete(key)
+
+    async def _delete(self, key):
+        if key in self.cache:
+            del self.cache[key]
+
+    async def clear(self, lock: Optional[asyncio.Lock] = None):
+        if not lock:
+            async with self.lock:
+                await self._clear()
+        else:
+            await self._clear()
+
+    async def _clear(self):
+        self.cache.clear()
+
+    async def upsert(self, key, value, lock: Optional[asyncio.Lock] = None):
+        if not lock:
+            async with self.lock:
+                await self._upsert(key, value)
+        else:
+            await self._upsert(key, value)
+
+    async def _upsert(self, key, value):
+        existing_value = await self.get(key)
+        if existing_value is not None and isinstance(existing_value, dict) and isinstance(value, dict):
+            existing_value.update(value)
+            value = existing_value
+        await self.set(key, value)
+
+    def __contains__(self, key):
+        return key in self.cache
diff --git a/src/backend/base/langflow/services/cache/utils.py b/src/backend/base/langflow/services/cache/utils.py
new file mode 100644
index 00000000000..a89963f5681
--- /dev/null
+++ b/src/backend/base/langflow/services/cache/utils.py
@@ -0,0 +1,168 @@
+import base64
+import contextlib
+import hashlib
+import os
+import tempfile
+from pathlib import Path
+from typing import TYPE_CHECKING, Any, Dict
+
+from fastapi import UploadFile
+from platformdirs import user_cache_dir
+
+if TYPE_CHECKING:
+    from langflow.api.v1.schemas import BuildStatus
+
+CACHE: Dict[str, Any] = {}
+
+CACHE_DIR = user_cache_dir("langflow", "langflow")
+
+PREFIX = "langflow_cache"
+
+
+class CacheMiss:
+    def __repr__(self):
+        return "<CACHE_MISS>"
+
+    def __bool__(self):
+        return False
+
+
+def create_cache_folder(func):
+    def wrapper(*args, **kwargs):
+        # Get the destination folder
+        cache_path = Path(CACHE_DIR) / PREFIX
+
+        # Create the destination folder if it doesn't exist
+        os.makedirs(cache_path, exist_ok=True)
+
+        return func(*args, **kwargs)
+
+    return wrapper
+
+
+@create_cache_folder
+def clear_old_cache_files(max_cache_size: int = 3):
+    cache_dir = Path(tempfile.gettempdir()) / PREFIX
+    cache_files = list(cache_dir.glob("*.dill"))
+
+    if len(cache_files) > max_cache_size:
+        cache_files_sorted_by_mtime = sorted(cache_files, key=lambda x: x.stat().st_mtime, reverse=True)
+
+        for cache_file in cache_files_sorted_by_mtime[max_cache_size:]:
+            with contextlib.suppress(OSError):
+                os.remove(cache_file)
+
+
+def filter_json(json_data):
+    filtered_data = json_data.copy()
+
+    # Remove 'viewport' and 'chatHistory' keys
+    if "viewport" in filtered_data:
+        del filtered_data["viewport"]
+    if "chatHistory" in filtered_data:
+        del filtered_data["chatHistory"]
+
+    # Filter nodes
+    if "nodes" in filtered_data:
+        for node in filtered_data["nodes"]:
+            if "position" in node:
+                del node["position"]
+            if "positionAbsolute" in node:
+                del node["positionAbsolute"]
+            if "selected" in node:
+                del node["selected"]
+            if "dragging" in node:
+                del node["dragging"]
+
+    return filtered_data
+
+
+@create_cache_folder
+def save_binary_file(content: str, file_name: str, accepted_types: list[str]) -> str:
+    """
+    Save a binary file to the specified folder.
+
+    Args:
+        content: The content of the file as a bytes object.
+        file_name: The name of the file, including its extension.
+
+    Returns:
+        The path to the saved file.
+    """
+    if not any(file_name.endswith(suffix) for suffix in accepted_types):
+        raise ValueError(f"File {file_name} is not accepted")
+
+    # Get the destination folder
+    cache_path = Path(CACHE_DIR) / PREFIX
+    if not content:
+        raise ValueError("Please, reload the file in the loader.")
+    data = content.split(",")[1]
+    decoded_bytes = base64.b64decode(data)
+
+    # Create the full file path
+    file_path = os.path.join(cache_path, file_name)
+
+    # Save the binary content to the file
+    with open(file_path, "wb") as file:
+        file.write(decoded_bytes)
+
+    return file_path
+
+
+@create_cache_folder
+def save_uploaded_file(file: UploadFile, folder_name):
+    """
+    Save an uploaded file to the specified folder with a hash of its content as the file name.
+
+    Args:
+        file: The uploaded file object.
+        folder_name: The name of the folder to save the file in.
+
+    Returns:
+        The path to the saved file.
+    """
+    cache_path = Path(CACHE_DIR)
+    folder_path = cache_path / folder_name
+    filename = file.filename
+    if isinstance(filename, str) or isinstance(filename, Path):
+        file_extension = Path(filename).suffix
+    else:
+        file_extension = ""
+    file_object = file.file
+
+    # Create the folder if it doesn't exist
+    if not folder_path.exists():
+        folder_path.mkdir()
+
+    # Create a hash of the file content
+    sha256_hash = hashlib.sha256()
+    # Reset the file cursor to the beginning of the file
+    file_object.seek(0)
+    # Iterate over the uploaded file in small chunks to conserve memory
+    while chunk := file_object.read(8192):  # Read 8KB at a time (adjust as needed)
+        sha256_hash.update(chunk)
+
+    # Use the hex digest of the hash as the file name
+    hex_dig = sha256_hash.hexdigest()
+    file_name = f"{hex_dig}{file_extension}"
+
+    # Reset the file cursor to the beginning of the file
+    file_object.seek(0)
+
+    # Save the file with the hash as its name
+    file_path = folder_path / file_name
+    with open(file_path, "wb") as new_file:
+        while chunk := file_object.read(8192):
+            new_file.write(chunk)
+
+    return file_path
+
+
+def update_build_status(cache_service, flow_id: str, status: "BuildStatus"):
+    cached_flow = cache_service[flow_id]
+    if cached_flow is None:
+        raise ValueError(f"Flow {flow_id} not found in cache")
+    cached_flow["status"] = status
+    cache_service[flow_id] = cached_flow
+    cached_flow["status"] = status
+    cache_service[flow_id] = cached_flow
diff --git a/src/backend/langflow/processing/__init__.py b/src/backend/base/langflow/services/chat/__init__.py
similarity index 100%
rename from src/backend/langflow/processing/__init__.py
rename to src/backend/base/langflow/services/chat/__init__.py
diff --git a/src/backend/langflow/services/chat/cache.py b/src/backend/base/langflow/services/chat/cache.py
similarity index 99%
rename from src/backend/langflow/services/chat/cache.py
rename to src/backend/base/langflow/services/chat/cache.py
index f6247b54000..959ea877c6a 100644
--- a/src/backend/langflow/services/chat/cache.py
+++ b/src/backend/base/langflow/services/chat/cache.py
@@ -1,10 +1,11 @@
 from contextlib import contextmanager
 from typing import Any, Awaitable, Callable, List, Optional
-from langflow.services.base import Service
 
 import pandas as pd
 from PIL import Image
 
+from langflow.services.base import Service
+
 
 class Subject:
     """Base class for implementing the observer pattern."""
diff --git a/src/backend/langflow/services/chat/config.py b/src/backend/base/langflow/services/chat/config.py
similarity index 100%
rename from src/backend/langflow/services/chat/config.py
rename to src/backend/base/langflow/services/chat/config.py
diff --git a/src/backend/langflow/services/chat/factory.py b/src/backend/base/langflow/services/chat/factory.py
similarity index 100%
rename from src/backend/langflow/services/chat/factory.py
rename to src/backend/base/langflow/services/chat/factory.py
diff --git a/src/backend/base/langflow/services/chat/service.py b/src/backend/base/langflow/services/chat/service.py
new file mode 100644
index 00000000000..bb913e6e9b1
--- /dev/null
+++ b/src/backend/base/langflow/services/chat/service.py
@@ -0,0 +1,39 @@
+import asyncio
+from collections import defaultdict
+from typing import Any, Optional
+
+from langflow.services.base import Service
+from langflow.services.deps import get_cache_service
+
+
+class ChatService(Service):
+    name = "chat_service"
+
+    def __init__(self):
+        self._cache_locks = defaultdict(asyncio.Lock)
+        self.cache_service = get_cache_service()
+
+    async def set_cache(self, key: str, data: Any, lock: Optional[asyncio.Lock] = None) -> bool:
+        """
+        Set the cache for a client.
+        """
+        # client_id is the flow id but that already exists in the cache
+        # so we need to change it to something else
+        result_dict = {
+            "result": data,
+            "type": type(data),
+        }
+        await self.cache_service.upsert(str(key), result_dict, lock=lock or self._cache_locks[key])
+        return key in self.cache_service
+
+    async def get_cache(self, key: str, lock: Optional[asyncio.Lock] = None) -> Any:
+        """
+        Get the cache for a client.
+        """
+        return await self.cache_service.get(key, lock=lock or self._cache_locks[key])
+
+    async def clear_cache(self, key: str, lock: Optional[asyncio.Lock] = None):
+        """
+        Clear the cache for a client.
+        """
+        await self.cache_service.delete(key, lock=lock or self._cache_locks[key])
diff --git a/src/backend/langflow/services/auth/__init__.py b/src/backend/base/langflow/services/database/__init__.py
similarity index 100%
rename from src/backend/langflow/services/auth/__init__.py
rename to src/backend/base/langflow/services/database/__init__.py
diff --git a/src/backend/base/langflow/services/database/factory.py b/src/backend/base/langflow/services/database/factory.py
new file mode 100644
index 00000000000..f9c269f12ca
--- /dev/null
+++ b/src/backend/base/langflow/services/database/factory.py
@@ -0,0 +1,18 @@
+from typing import TYPE_CHECKING
+
+from langflow.services.database.service import DatabaseService
+from langflow.services.factory import ServiceFactory
+
+if TYPE_CHECKING:
+    from langflow.services.settings.service import SettingsService
+
+
+class DatabaseServiceFactory(ServiceFactory):
+    def __init__(self):
+        super().__init__(DatabaseService)
+
+    def create(self, settings_service: "SettingsService"):
+        # Here you would have logic to create and configure a DatabaseService
+        if not settings_service.settings.database_url:
+            raise ValueError("No database URL provided")
+        return DatabaseService(settings_service)
diff --git a/src/backend/base/langflow/services/database/models/__init__.py b/src/backend/base/langflow/services/database/models/__init__.py
new file mode 100644
index 00000000000..ce12a6fce07
--- /dev/null
+++ b/src/backend/base/langflow/services/database/models/__init__.py
@@ -0,0 +1,7 @@
+from .api_key import ApiKey
+from .flow import Flow
+from .folder import Folder
+from .user import User
+from .variable import Variable
+
+__all__ = ["Flow", "User", "ApiKey", "Variable", "Folder"]
diff --git a/src/backend/langflow/services/database/models/api_key/__init__.py b/src/backend/base/langflow/services/database/models/api_key/__init__.py
similarity index 100%
rename from src/backend/langflow/services/database/models/api_key/__init__.py
rename to src/backend/base/langflow/services/database/models/api_key/__init__.py
diff --git a/src/backend/langflow/services/database/models/api_key/crud.py b/src/backend/base/langflow/services/database/models/api_key/crud.py
similarity index 100%
rename from src/backend/langflow/services/database/models/api_key/crud.py
rename to src/backend/base/langflow/services/database/models/api_key/crud.py
diff --git a/src/backend/base/langflow/services/database/models/api_key/model.py b/src/backend/base/langflow/services/database/models/api_key/model.py
new file mode 100644
index 00000000000..157b08b3245
--- /dev/null
+++ b/src/backend/base/langflow/services/database/models/api_key/model.py
@@ -0,0 +1,64 @@
+from datetime import datetime, timezone
+from typing import TYPE_CHECKING, Optional
+from uuid import UUID, uuid4
+
+from pydantic import field_validator
+from sqlmodel import Column, DateTime, Field, Relationship, SQLModel, func
+
+if TYPE_CHECKING:
+    from langflow.services.database.models.user import User
+
+
+def utc_now():
+    return datetime.now(timezone.utc)
+
+
+class ApiKeyBase(SQLModel):
+    name: Optional[str] = Field(index=True, nullable=True, default=None)
+    last_used_at: Optional[datetime] = Field(default=None, nullable=True)
+    total_uses: int = Field(default=0)
+    is_active: bool = Field(default=True)
+
+
+class ApiKey(ApiKeyBase, table=True):
+    id: UUID = Field(default_factory=uuid4, primary_key=True, unique=True)
+    created_at: Optional[datetime] = Field(
+        default=None, sa_column=Column(DateTime(timezone=True), server_default=func.now(), nullable=False)
+    )
+    api_key: str = Field(index=True, unique=True)
+    # User relationship
+    # Delete API keys when user is deleted
+    user_id: UUID = Field(index=True, foreign_key="user.id")
+    user: "User" = Relationship(
+        back_populates="api_keys",
+    )
+
+
+class ApiKeyCreate(ApiKeyBase):
+    api_key: Optional[str] = None
+    user_id: Optional[UUID] = None
+    created_at: Optional[datetime] = Field(default_factory=utc_now)
+
+    @field_validator("created_at", mode="before")
+    @classmethod
+    def set_created_at(cls, v):
+        return v or utc_now()
+
+
+class UnmaskedApiKeyRead(ApiKeyBase):
+    id: UUID
+    api_key: str = Field()
+    user_id: UUID = Field()
+
+
+class ApiKeyRead(ApiKeyBase):
+    id: UUID
+    api_key: str = Field(schema_extra={"validate_default": True})
+    user_id: UUID = Field()
+    created_at: datetime = Field()
+
+    @field_validator("api_key")
+    @classmethod
+    def mask_api_key(cls, v):
+        # This validator will always run, and will mask the API key
+        return f"{v[:8]}{'*' * (len(v) - 8)}"
diff --git a/src/backend/langflow/services/database/models/base.py b/src/backend/base/langflow/services/database/models/base.py
similarity index 100%
rename from src/backend/langflow/services/database/models/base.py
rename to src/backend/base/langflow/services/database/models/base.py
diff --git a/src/backend/langflow/services/database/models/flow/__init__.py b/src/backend/base/langflow/services/database/models/flow/__init__.py
similarity index 100%
rename from src/backend/langflow/services/database/models/flow/__init__.py
rename to src/backend/base/langflow/services/database/models/flow/__init__.py
diff --git a/src/backend/base/langflow/services/database/models/flow/model.py b/src/backend/base/langflow/services/database/models/flow/model.py
new file mode 100644
index 00000000000..624ea0543bf
--- /dev/null
+++ b/src/backend/base/langflow/services/database/models/flow/model.py
@@ -0,0 +1,196 @@
+# Path: src/backend/langflow/services/database/models/flow/model.py
+
+import re
+import warnings
+from datetime import datetime, timezone
+from typing import TYPE_CHECKING, Dict, Optional
+from uuid import UUID, uuid4
+
+import emoji
+from emoji import purely_emoji  # type: ignore
+from fastapi import HTTPException, status
+from pydantic import field_serializer, field_validator
+from sqlalchemy import UniqueConstraint
+from sqlmodel import JSON, Column, Field, Relationship, SQLModel
+
+from langflow.schema import Data
+
+if TYPE_CHECKING:
+    from langflow.services.database.models.folder import Folder
+    from langflow.services.database.models.user import User
+
+
+class FlowBase(SQLModel):
+    name: str = Field(index=True)
+    description: Optional[str] = Field(index=True, nullable=True, default=None)
+    icon: Optional[str] = Field(default=None, nullable=True)
+    icon_bg_color: Optional[str] = Field(default=None, nullable=True)
+    data: Optional[Dict] = Field(default=None, nullable=True)
+    is_component: Optional[bool] = Field(default=False, nullable=True)
+    updated_at: Optional[datetime] = Field(default_factory=lambda: datetime.now(timezone.utc), nullable=True)
+    webhook: Optional[bool] = Field(default=False, nullable=True, description="Can be used on the webhook endpoint")
+    endpoint_name: Optional[str] = Field(default=None, nullable=True, index=True)
+
+    @field_validator("endpoint_name")
+    @classmethod
+    def validate_endpoint_name(cls, v):
+        # Endpoint name must be a string containing only letters, numbers, hyphens, and underscores
+        if v is not None:
+            if not isinstance(v, str):
+                raise HTTPException(
+                    status_code=status.HTTP_422_UNPROCESSABLE_ENTITY,
+                    detail="Endpoint name must be a string",
+                )
+            if not re.match(r"^[a-zA-Z0-9_-]+$", v):
+                raise HTTPException(
+                    status_code=status.HTTP_422_UNPROCESSABLE_ENTITY,
+                    detail="Endpoint name must contain only letters, numbers, hyphens, and underscores",
+                )
+        return v
+
+    @field_validator("icon_bg_color")
+    def validate_icon_bg_color(cls, v):
+        if v is not None and not isinstance(v, str):
+            raise ValueError("Icon background color must be a string")
+        # validate that is is a hex color
+        if v and not v.startswith("#"):
+            raise ValueError("Icon background color must start with #")
+
+        # validate that it is a valid hex color
+        if v and len(v) != 7:
+            raise ValueError("Icon background color must be 7 characters long")
+        return v
+
+    @field_validator("icon")
+    def validate_icon_atr(cls, v):
+        #   const emojiRegex = /\p{Emoji}/u;
+        # const isEmoji = emojiRegex.test(data?.node?.icon!);
+        # emoji pattern in Python
+        if v is None:
+            return v
+        # we are going to use the emoji library to validate the emoji
+        # emojis can be defined using the :emoji_name: syntax
+
+        if not v.startswith(":") and not v.endswith(":"):
+            return v
+        elif not v.startswith(":") or not v.endswith(":"):
+            # emoji should have both starting and ending colons
+            # so if one of them is missing, we will raise
+            raise ValueError(f"Invalid emoji. {v} is not a valid emoji.")
+
+        emoji_value = emoji.emojize(v, variant="emoji_type")
+        if v == emoji_value:
+            warnings.warn(f"Invalid emoji. {v} is not a valid emoji.")
+            icon = v
+        icon = emoji_value
+
+        if purely_emoji(icon):
+            # this is indeed an emoji
+            return icon
+        # otherwise it should be a valid lucide icon
+        if v is not None and not isinstance(v, str):
+            raise ValueError("Icon must be a string")
+        # is should be lowercase and contain only letters and hyphens
+        if v and not v.islower():
+            raise ValueError("Icon must be lowercase")
+        if v and not v.replace("-", "").isalpha():
+            raise ValueError("Icon must contain only letters and hyphens")
+        return v
+
+    @field_validator("data")
+    def validate_json(v):
+        if not v:
+            return v
+        if not isinstance(v, dict):
+            raise ValueError("Flow must be a valid JSON")
+
+        # data must contain nodes and edges
+        if "nodes" not in v.keys():
+            raise ValueError("Flow must have nodes")
+        if "edges" not in v.keys():
+            raise ValueError("Flow must have edges")
+
+        return v
+
+    # updated_at can be serialized to JSON
+    @field_serializer("updated_at")
+    def serialize_datetime(value):
+        if isinstance(value, datetime):
+            # I'm getting 2024-05-29T17:57:17.631346
+            # and I want 2024-05-29T17:57:17-05:00
+            value = value.replace(microsecond=0)
+            if value.tzinfo is None:
+                value = value.replace(tzinfo=timezone.utc)
+            return value.isoformat()
+        return value
+
+    @field_validator("updated_at", mode="before")
+    def validate_dt(cls, v):
+        if v is None:
+            return v
+        elif isinstance(v, datetime):
+            return v
+
+        return datetime.fromisoformat(v)
+
+
+class Flow(FlowBase, table=True):
+    id: UUID = Field(default_factory=uuid4, primary_key=True, unique=True)
+    data: Optional[Dict] = Field(default=None, sa_column=Column(JSON))
+    user_id: Optional[UUID] = Field(index=True, foreign_key="user.id", nullable=True)
+    user: "User" = Relationship(back_populates="flows")
+    folder_id: Optional[UUID] = Field(default=None, foreign_key="folder.id", nullable=True, index=True)
+    folder: Optional["Folder"] = Relationship(back_populates="flows")
+
+    def to_data(self):
+        serialized = self.model_dump()
+        data = {
+            "id": serialized.pop("id"),
+            "data": serialized.pop("data"),
+            "name": serialized.pop("name"),
+            "description": serialized.pop("description"),
+            "updated_at": serialized.pop("updated_at"),
+        }
+        record = Data(data=data)
+        return record
+
+    __table_args__ = (
+        UniqueConstraint("user_id", "name", name="unique_flow_name"),
+        UniqueConstraint("user_id", "endpoint_name", name="unique_flow_endpoint_name"),
+    )
+
+
+class FlowCreate(FlowBase):
+    user_id: Optional[UUID] = None
+    folder_id: Optional[UUID] = None
+
+
+class FlowRead(FlowBase):
+    id: UUID
+    user_id: Optional[UUID] = Field()
+    folder_id: Optional[UUID] = Field()
+
+
+class FlowUpdate(SQLModel):
+    name: Optional[str] = None
+    description: Optional[str] = None
+    data: Optional[Dict] = None
+    folder_id: Optional[UUID] = None
+    endpoint_name: Optional[str] = None
+
+    @field_validator("endpoint_name")
+    @classmethod
+    def validate_endpoint_name(cls, v):
+        # Endpoint name must be a string containing only letters, numbers, hyphens, and underscores
+        if v is not None:
+            if not isinstance(v, str):
+                raise HTTPException(
+                    status_code=status.HTTP_422_UNPROCESSABLE_ENTITY,
+                    detail="Endpoint name must be a string",
+                )
+            if not re.match(r"^[a-zA-Z0-9_-]+$", v):
+                raise HTTPException(
+                    status_code=status.HTTP_422_UNPROCESSABLE_ENTITY,
+                    detail="Endpoint name must contain only letters, numbers, hyphens, and underscores",
+                )
+        return v
diff --git a/src/backend/base/langflow/services/database/models/flow/utils.py b/src/backend/base/langflow/services/database/models/flow/utils.py
new file mode 100644
index 00000000000..b8ea9d658cb
--- /dev/null
+++ b/src/backend/base/langflow/services/database/models/flow/utils.py
@@ -0,0 +1,33 @@
+from typing import Optional
+
+from fastapi import Depends
+from sqlmodel import Session
+
+from langflow.services.deps import get_session
+
+from .model import Flow
+
+
+def get_flow_by_id(session: Session = Depends(get_session), flow_id: Optional[str] = None) -> Flow | None:
+    """Get flow by id."""
+
+    if flow_id is None:
+        raise ValueError("Flow id is required.")
+
+    return session.get(Flow, flow_id)
+
+
+def get_webhook_component_in_flow(flow_data: dict):
+    """Get webhook component in flow data."""
+
+    for node in flow_data.get("nodes", []):
+        if "Webhook" in node.get("id"):
+            return node
+    return None
+
+
+def get_all_webhook_components_in_flow(flow_data: dict | None):
+    """Get all webhook components in flow data."""
+    if not flow_data:
+        return []
+    return [node for node in flow_data.get("nodes", []) if "Webhook" in node.get("id")]
diff --git a/src/backend/base/langflow/services/database/models/folder/__init__.py b/src/backend/base/langflow/services/database/models/folder/__init__.py
new file mode 100644
index 00000000000..e1d7e97b750
--- /dev/null
+++ b/src/backend/base/langflow/services/database/models/folder/__init__.py
@@ -0,0 +1,3 @@
+from .model import Folder, FolderCreate, FolderRead, FolderUpdate
+
+__all__ = ["Folder", "FolderCreate", "FolderRead", "FolderUpdate"]
diff --git a/src/backend/base/langflow/services/database/models/folder/constants.py b/src/backend/base/langflow/services/database/models/folder/constants.py
new file mode 100644
index 00000000000..6b44cbbf992
--- /dev/null
+++ b/src/backend/base/langflow/services/database/models/folder/constants.py
@@ -0,0 +1,2 @@
+DEFAULT_FOLDER_DESCRIPTION = "Manage your own projects. Download and upload folders."
+DEFAULT_FOLDER_NAME = "My Projects"
diff --git a/src/backend/base/langflow/services/database/models/folder/model.py b/src/backend/base/langflow/services/database/models/folder/model.py
new file mode 100644
index 00000000000..dc2dfaa8035
--- /dev/null
+++ b/src/backend/base/langflow/services/database/models/folder/model.py
@@ -0,0 +1,58 @@
+from typing import TYPE_CHECKING, List, Optional
+from uuid import UUID, uuid4
+
+from sqlalchemy import UniqueConstraint
+from sqlmodel import Field, Relationship, SQLModel
+
+from langflow.services.database.models.flow.model import FlowRead
+
+if TYPE_CHECKING:
+    from langflow.services.database.models.flow.model import Flow
+    from langflow.services.database.models.user.model import User
+
+
+class FolderBase(SQLModel):
+    name: str = Field(index=True)
+    description: Optional[str] = Field(default=None)
+
+
+class Folder(FolderBase, table=True):
+    id: Optional[UUID] = Field(default_factory=uuid4, primary_key=True)
+    parent_id: Optional[UUID] = Field(default=None, foreign_key="folder.id")
+
+    parent: Optional["Folder"] = Relationship(
+        back_populates="children",
+        sa_relationship_kwargs=dict(remote_side="Folder.id"),
+    )
+    children: List["Folder"] = Relationship(back_populates="parent")
+    user_id: Optional[UUID] = Field(default=None, foreign_key="user.id")
+    user: "User" = Relationship(back_populates="folders")
+    flows: List["Flow"] = Relationship(
+        back_populates="folder", sa_relationship_kwargs={"cascade": "all, delete, delete-orphan"}
+    )
+
+    __table_args__ = (UniqueConstraint("user_id", "name", name="unique_folder_name"),)
+
+
+class FolderCreate(FolderBase):
+    components_list: Optional[List[UUID]] = None
+    flows_list: Optional[List[UUID]] = None
+
+
+class FolderRead(FolderBase):
+    id: UUID
+    parent_id: Optional[UUID] = Field()
+
+
+class FolderReadWithFlows(FolderBase):
+    id: UUID
+    parent_id: Optional[UUID] = Field()
+    flows: List["FlowRead"] = Field(default=[])
+
+
+class FolderUpdate(SQLModel):
+    name: Optional[str] = None
+    description: Optional[str] = None
+    parent_id: Optional[UUID] = None
+    components: List[UUID] = Field(default_factory=list)
+    flows: List[UUID] = Field(default_factory=list)
diff --git a/src/backend/base/langflow/services/database/models/folder/utils.py b/src/backend/base/langflow/services/database/models/folder/utils.py
new file mode 100644
index 00000000000..446efb02939
--- /dev/null
+++ b/src/backend/base/langflow/services/database/models/folder/utils.py
@@ -0,0 +1,33 @@
+from typing import TYPE_CHECKING
+from uuid import UUID
+
+from sqlmodel import Session, and_, select, update
+
+from langflow.services.database.models.flow.model import Flow
+
+from .constants import DEFAULT_FOLDER_DESCRIPTION, DEFAULT_FOLDER_NAME
+from .model import Folder
+
+if TYPE_CHECKING:
+    pass
+
+
+def create_default_folder_if_it_doesnt_exist(session: Session, user_id: UUID):
+    folder = session.exec(select(Folder).where(Folder.user_id == user_id)).first()
+    if not folder:
+        folder = Folder(name=DEFAULT_FOLDER_NAME, user_id=user_id, description=DEFAULT_FOLDER_DESCRIPTION)
+        session.add(folder)
+        session.commit()
+        session.refresh(folder)
+        session.exec(
+            update(Flow)  # type: ignore
+            .where(
+                and_(
+                    Flow.folder_id == None,  # type: ignore # noqa
+                    Flow.user_id == user_id,
+                )
+            )
+            .values(folder_id=folder.id)
+        )
+        session.commit()
+    return folder
diff --git a/src/backend/langflow/services/database/models/user/__init__.py b/src/backend/base/langflow/services/database/models/user/__init__.py
similarity index 100%
rename from src/backend/langflow/services/database/models/user/__init__.py
rename to src/backend/base/langflow/services/database/models/user/__init__.py
diff --git a/src/backend/langflow/services/database/models/user/crud.py b/src/backend/base/langflow/services/database/models/user/crud.py
similarity index 99%
rename from src/backend/langflow/services/database/models/user/crud.py
rename to src/backend/base/langflow/services/database/models/user/crud.py
index e8f58735c59..5a948815eb1 100644
--- a/src/backend/langflow/services/database/models/user/crud.py
+++ b/src/backend/base/langflow/services/database/models/user/crud.py
@@ -3,12 +3,13 @@
 from uuid import UUID
 
 from fastapi import Depends, HTTPException, status
-from langflow.services.database.models.user.model import User, UserUpdate
-from langflow.services.deps import get_session
 from sqlalchemy.exc import IntegrityError
 from sqlalchemy.orm.attributes import flag_modified
 from sqlmodel import Session, select
 
+from langflow.services.database.models.user.model import User, UserUpdate
+from langflow.services.deps import get_session
+
 
 def get_user_by_username(db: Session, username: str) -> Union[User, None]:
     return db.exec(select(User).where(User.username == username)).first()
diff --git a/src/backend/base/langflow/services/database/models/user/model.py b/src/backend/base/langflow/services/database/models/user/model.py
new file mode 100644
index 00000000000..dfc978c273d
--- /dev/null
+++ b/src/backend/base/langflow/services/database/models/user/model.py
@@ -0,0 +1,62 @@
+from datetime import datetime, timezone
+from typing import TYPE_CHECKING, Optional
+from uuid import UUID, uuid4
+
+from sqlmodel import Field, Relationship, SQLModel
+
+if TYPE_CHECKING:
+    from langflow.services.database.models.api_key import ApiKey
+    from langflow.services.database.models.variable import Variable
+    from langflow.services.database.models.flow import Flow
+    from langflow.services.database.models.folder import Folder
+
+
+class User(SQLModel, table=True):
+    id: UUID = Field(default_factory=uuid4, primary_key=True, unique=True)
+    username: str = Field(index=True, unique=True)
+    password: str = Field()
+    profile_image: Optional[str] = Field(default=None, nullable=True)
+    is_active: bool = Field(default=False)
+    is_superuser: bool = Field(default=False)
+    create_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
+    updated_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
+    last_login_at: Optional[datetime] = Field(default=None, nullable=True)
+    api_keys: list["ApiKey"] = Relationship(
+        back_populates="user",
+        sa_relationship_kwargs={"cascade": "delete"},
+    )
+    store_api_key: Optional[str] = Field(default=None, nullable=True)
+    flows: list["Flow"] = Relationship(back_populates="user")
+    variables: list["Variable"] = Relationship(
+        back_populates="user",
+        sa_relationship_kwargs={"cascade": "delete"},
+    )
+    folders: list["Folder"] = Relationship(
+        back_populates="user",
+        sa_relationship_kwargs={"cascade": "delete"},
+    )
+
+
+class UserCreate(SQLModel):
+    username: str = Field()
+    password: str = Field()
+
+
+class UserRead(SQLModel):
+    id: UUID = Field(default_factory=uuid4)
+    username: str = Field()
+    profile_image: Optional[str] = Field()
+    is_active: bool = Field()
+    is_superuser: bool = Field()
+    create_at: datetime = Field()
+    updated_at: datetime = Field()
+    last_login_at: Optional[datetime] = Field(nullable=True)
+
+
+class UserUpdate(SQLModel):
+    username: Optional[str] = None
+    profile_image: Optional[str] = None
+    password: Optional[str] = None
+    is_active: Optional[bool] = None
+    is_superuser: Optional[bool] = None
+    last_login_at: Optional[datetime] = None
diff --git a/src/backend/base/langflow/services/database/models/variable/__init__.py b/src/backend/base/langflow/services/database/models/variable/__init__.py
new file mode 100644
index 00000000000..62ecc4f8701
--- /dev/null
+++ b/src/backend/base/langflow/services/database/models/variable/__init__.py
@@ -0,0 +1,3 @@
+from .model import Variable, VariableCreate, VariableRead, VariableUpdate
+
+__all__ = ["Variable", "VariableCreate", "VariableRead", "VariableUpdate"]
diff --git a/src/backend/base/langflow/services/database/models/variable/model.py b/src/backend/base/langflow/services/database/models/variable/model.py
new file mode 100644
index 00000000000..1344dc9c32c
--- /dev/null
+++ b/src/backend/base/langflow/services/database/models/variable/model.py
@@ -0,0 +1,62 @@
+from datetime import datetime, timezone
+from typing import TYPE_CHECKING, List, Optional
+from uuid import UUID, uuid4
+
+from sqlmodel import JSON, Column, DateTime, Field, Relationship, SQLModel, func
+
+if TYPE_CHECKING:
+    from langflow.services.database.models.user.model import User
+
+
+def utc_now():
+    return datetime.now(timezone.utc)
+
+
+class VariableBase(SQLModel):
+    name: str = Field(description="Name of the variable")
+    value: str = Field(description="Encrypted value of the variable")
+    default_fields: Optional[List[str]] = Field(sa_column=Column(JSON))
+    type: Optional[str] = Field(None, description="Type of the variable")
+
+
+class Variable(VariableBase, table=True):
+    id: Optional[UUID] = Field(
+        default_factory=uuid4,
+        primary_key=True,
+        description="Unique ID for the variable",
+    )
+    # name is unique per user
+    created_at: Optional[datetime] = Field(
+        default=None,
+        sa_column=Column(DateTime(timezone=True), server_default=func.now(), nullable=True),
+        description="Creation time of the variable",
+    )
+    updated_at: Optional[datetime] = Field(
+        default=None,
+        sa_column=Column(DateTime(timezone=True), nullable=True),
+        description="Last update time of the variable",
+    )
+    default_fields: Optional[List[str]] = Field(sa_column=Column(JSON))
+    # foreign key to user table
+    user_id: UUID = Field(description="User ID associated with this variable", foreign_key="user.id")
+    user: "User" = Relationship(back_populates="variables")
+
+
+class VariableCreate(VariableBase):
+    created_at: Optional[datetime] = Field(default_factory=utc_now, description="Creation time of the variable")
+
+    updated_at: Optional[datetime] = Field(default_factory=utc_now, description="Creation time of the variable")
+
+
+class VariableRead(SQLModel):
+    id: UUID
+    name: Optional[str] = Field(None, description="Name of the variable")
+    type: Optional[str] = Field(None, description="Type of the variable")
+    default_fields: Optional[List[str]] = Field(None, description="Default fields for the variable")
+
+
+class VariableUpdate(SQLModel):
+    id: UUID  # Include the ID for updating
+    name: Optional[str] = Field(None, description="Name of the variable")
+    value: Optional[str] = Field(None, description="Encrypted value of the variable")
+    default_fields: Optional[List[str]] = Field(None, description="Default fields for the variable")
diff --git a/src/backend/base/langflow/services/database/service.py b/src/backend/base/langflow/services/database/service.py
new file mode 100644
index 00000000000..ceeaf3e38ec
--- /dev/null
+++ b/src/backend/base/langflow/services/database/service.py
@@ -0,0 +1,304 @@
+import time
+from datetime import datetime
+from pathlib import Path
+from typing import TYPE_CHECKING
+
+import sqlalchemy as sa
+from alembic import command, util
+from alembic.config import Config
+from langflow.services.base import Service
+from langflow.services.database import models  # noqa
+from langflow.services.database.models.user.crud import get_user_by_username
+from langflow.services.database.utils import Result, TableResults
+from langflow.services.deps import get_settings_service
+from langflow.services.utils import teardown_superuser
+from loguru import logger
+from sqlalchemy import event, inspect
+from sqlalchemy.engine import Engine
+from sqlalchemy.exc import OperationalError
+from sqlmodel import Session, SQLModel, create_engine, select, text
+
+if TYPE_CHECKING:
+    from langflow.services.settings.service import SettingsService
+    from sqlalchemy.engine import Engine
+
+
+class DatabaseService(Service):
+    name = "database_service"
+
+    def __init__(self, settings_service: "SettingsService"):
+        self.settings_service = settings_service
+        if settings_service.settings.database_url is None:
+            raise ValueError("No database URL provided")
+        self.database_url: str = settings_service.settings.database_url
+        # This file is in langflow.services.database.manager.py
+        # the ini is in langflow
+        langflow_dir = Path(__file__).parent.parent.parent
+        self.script_location = langflow_dir / "alembic"
+        self.alembic_cfg_path = langflow_dir / "alembic.ini"
+        self.engine = self._create_engine()
+
+    def _create_engine(self) -> "Engine":
+        """Create the engine for the database."""
+        settings_service = get_settings_service()
+        if settings_service.settings.database_url and settings_service.settings.database_url.startswith("sqlite"):
+            connect_args = {"check_same_thread": False}
+        else:
+            connect_args = {}
+        try:
+            return create_engine(
+                self.database_url,
+                connect_args=connect_args,
+                pool_size=self.settings_service.settings.pool_size,
+                max_overflow=self.settings_service.settings.max_overflow,
+            )
+        except sa.exc.NoSuchModuleError as exc:
+            # sqlalchemy.exc.NoSuchModuleError: Can't load plugin: sqlalchemy.dialects:postgres
+            if "postgres" in str(exc) and not self.database_url.startswith("postgresql"):
+                # https://stackoverflow.com/questions/62688256/sqlalchemy-exc-nosuchmoduleerror-cant-load-plugin-sqlalchemy-dialectspostgre
+                self.database_url = self.database_url.replace("postgres://", "postgresql://")
+                logger.warning(
+                    "Fixed postgres dialect in database URL. Replacing postgres:// with postgresql://. To avoid this warning, update the database URL."
+                )
+                return self._create_engine()
+            raise RuntimeError("Error creating database engine") from exc
+
+    @event.listens_for(Engine, "connect")
+    def on_connection(dbapi_connection, connection_record):
+        from sqlite3 import Connection as sqliteConnection
+
+        if isinstance(dbapi_connection, sqliteConnection):
+            logger.info("sqlite connect listener, setting pragmas")
+            cursor = dbapi_connection.cursor()
+            try:
+                cursor.execute("PRAGMA synchronous = NORMAL")
+                cursor.execute("PRAGMA journal_mode = WAL")
+                cursor.close()
+            except OperationalError as oe:
+                logger.warning("Failed to set PRAGMA: ", {oe})
+
+    def __enter__(self):
+        self._session = Session(self.engine)
+        return self._session
+
+    def __exit__(self, exc_type, exc_value, traceback):
+        if exc_type is not None:  # If an exception has been raised
+            logger.error(f"Session rollback because of exception: {exc_type.__name__} {exc_value}")
+            self._session.rollback()
+        else:
+            self._session.commit()
+        self._session.close()
+
+    def get_session(self):
+        with Session(self.engine) as session:
+            yield session
+
+    def migrate_flows_if_auto_login(self):
+        # if auto_login is enabled, we need to migrate the flows
+        # to the default superuser if they don't have a user id
+        # associated with them
+        settings_service = get_settings_service()
+        if settings_service.auth_settings.AUTO_LOGIN:
+            with Session(self.engine) as session:
+                flows = session.exec(select(models.Flow).where(models.Flow.user_id is None)).all()
+                if flows:
+                    logger.debug("Migrating flows to default superuser")
+                    username = settings_service.auth_settings.SUPERUSER
+                    user = get_user_by_username(session, username)
+                    if not user:
+                        logger.error("Default superuser not found")
+                        raise RuntimeError("Default superuser not found")
+                    for flow in flows:
+                        flow.user_id = user.id
+                    session.commit()
+                    logger.debug("Flows migrated successfully")
+
+    def check_schema_health(self) -> bool:
+        inspector = inspect(self.engine)
+
+        model_mapping = {
+            "flow": models.Flow,
+            "user": models.User,
+            "apikey": models.ApiKey,
+            # Add other SQLModel classes here
+        }
+
+        # To account for tables that existed in older versions
+        legacy_tables = ["flowstyle"]
+
+        for table, model in model_mapping.items():
+            expected_columns = list(model.model_fields.keys())
+
+            try:
+                available_columns = [col["name"] for col in inspector.get_columns(table)]
+            except sa.exc.NoSuchTableError:
+                logger.debug(f"Missing table: {table}")
+                return False
+
+            for column in expected_columns:
+                if column not in available_columns:
+                    logger.debug(f"Missing column: {column} in table {table}")
+                    return False
+
+        for table in legacy_tables:
+            if table in inspector.get_table_names():
+                logger.warning(f"Legacy table exists: {table}")
+
+        return True
+
+    def init_alembic(self, alembic_cfg):
+        logger.info("Initializing alembic")
+        command.ensure_version(alembic_cfg)
+        # alembic_cfg.attributes["connection"].commit()
+        command.upgrade(alembic_cfg, "head")
+        logger.info("Alembic initialized")
+
+    def run_migrations(self, fix=False):
+        # First we need to check if alembic has been initialized
+        # If not, we need to initialize it
+        # if not self.script_location.exists(): # this is not the correct way to check if alembic has been initialized
+        # We need to check if the alembic_version table exists
+        # if not, we need to initialize alembic
+        # stdout should be something like sys.stdout
+        # which is a buffer
+        # I don't want to output anything
+        # subprocess.DEVNULL is an int
+        buffer = open(self.script_location / "alembic.log", "w")
+        alembic_cfg = Config(stdout=buffer)
+        # alembic_cfg.attributes["connection"] = session
+        alembic_cfg.set_main_option("script_location", str(self.script_location))
+        alembic_cfg.set_main_option("sqlalchemy.url", self.database_url.replace("%", "%%"))
+
+        should_initialize_alembic = False
+        with Session(self.engine) as session:
+            # If the table does not exist it throws an error
+            # so we need to catch it
+            try:
+                session.exec(text("SELECT * FROM alembic_version"))
+            except Exception:
+                logger.info("Alembic not initialized")
+                should_initialize_alembic = True
+
+            else:
+                logger.info("Alembic already initialized")
+        if should_initialize_alembic:
+            try:
+                self.init_alembic(alembic_cfg)
+            except Exception as exc:
+                logger.error(f"Error initializing alembic: {exc}")
+                raise RuntimeError("Error initializing alembic") from exc
+
+        logger.info(f"Running DB migrations in {self.script_location}")
+
+        try:
+            buffer.write(f"{datetime.now().isoformat()}: Checking migrations\n")
+            command.check(alembic_cfg)
+        except Exception as exc:
+            if isinstance(exc, (util.exc.CommandError, util.exc.AutogenerateDiffsDetected)):
+                command.upgrade(alembic_cfg, "head")
+                time.sleep(3)
+
+        try:
+            buffer.write(f"{datetime.now().isoformat()}: Checking migrations\n")
+            command.check(alembic_cfg)
+        except util.exc.AutogenerateDiffsDetected as exc:
+            logger.error(f"AutogenerateDiffsDetected: {exc}")
+            if not fix:
+                raise RuntimeError(f"There's a mismatch between the models and the database.\n{exc}")
+
+        if fix:
+            self.try_downgrade_upgrade_until_success(alembic_cfg)
+
+    def try_downgrade_upgrade_until_success(self, alembic_cfg, retries=5):
+        # Try -1 then head, if it fails, try -2 then head, etc.
+        # until we reach the number of retries
+        for i in range(1, retries + 1):
+            try:
+                command.check(alembic_cfg)
+                break
+            except util.exc.AutogenerateDiffsDetected as exc:
+                # downgrade to base and upgrade again
+                logger.warning(f"AutogenerateDiffsDetected: {exc}")
+                command.downgrade(alembic_cfg, f"-{i}")
+                # wait for the database to be ready
+                time.sleep(3)
+                command.upgrade(alembic_cfg, "head")
+
+    def run_migrations_test(self):
+        # This method is used for testing purposes only
+        # We will check that all models are in the database
+        # and that the database is up to date with all columns
+        # get all models that are subclasses of SQLModel
+        sql_models = [
+            model for model in models.__dict__.values() if isinstance(model, type) and issubclass(model, SQLModel)
+        ]
+        return [TableResults(sql_model.__tablename__, self.check_table(sql_model)) for sql_model in sql_models]
+
+    def check_table(self, model):
+        results = []
+        inspector = inspect(self.engine)
+        table_name = model.__tablename__
+        expected_columns = list(model.__fields__.keys())
+        available_columns = []
+        try:
+            available_columns = [col["name"] for col in inspector.get_columns(table_name)]
+            results.append(Result(name=table_name, type="table", success=True))
+        except sa.exc.NoSuchTableError:
+            logger.error(f"Missing table: {table_name}")
+            results.append(Result(name=table_name, type="table", success=False))
+
+        for column in expected_columns:
+            if column not in available_columns:
+                logger.error(f"Missing column: {column} in table {table_name}")
+                results.append(Result(name=column, type="column", success=False))
+            else:
+                results.append(Result(name=column, type="column", success=True))
+        return results
+
+    def create_db_and_tables(self):
+        from sqlalchemy import inspect
+
+        inspector = inspect(self.engine)
+        table_names = inspector.get_table_names()
+        current_tables = ["flow", "user", "apikey"]
+
+        if table_names and all(table in table_names for table in current_tables):
+            logger.debug("Database and tables already exist")
+            return
+
+        logger.debug("Creating database and tables")
+
+        for table in SQLModel.metadata.sorted_tables:
+            try:
+                table.create(self.engine, checkfirst=True)
+            except OperationalError as oe:
+                logger.warning(f"Table {table} already exists, skipping. Exception: {oe}")
+            except Exception as exc:
+                logger.error(f"Error creating table {table}: {exc}")
+                raise RuntimeError(f"Error creating table {table}") from exc
+
+        # Now check if the required tables exist, if not, something went wrong.
+        inspector = inspect(self.engine)
+        table_names = inspector.get_table_names()
+        for table in current_tables:
+            if table not in table_names:
+                logger.error("Something went wrong creating the database and tables.")
+                logger.error("Please check your database settings.")
+                raise RuntimeError("Something went wrong creating the database and tables.")
+
+        logger.debug("Database and tables created successfully")
+
+    def teardown(self):
+        logger.debug("Tearing down database")
+        try:
+            settings_service = get_settings_service()
+            # remove the default superuser if auto_login is enabled
+            # using the SUPERUSER to get the user
+            with Session(self.engine) as session:
+                teardown_superuser(settings_service, session)
+
+        except Exception as exc:
+            logger.error(f"Error tearing down database: {exc}")
+
+        self.engine.dispose()
+        self.engine.dispose()
diff --git a/src/backend/langflow/services/database/utils.py b/src/backend/base/langflow/services/database/utils.py
similarity index 100%
rename from src/backend/langflow/services/database/utils.py
rename to src/backend/base/langflow/services/database/utils.py
diff --git a/src/backend/base/langflow/services/deps.py b/src/backend/base/langflow/services/deps.py
new file mode 100644
index 00000000000..588d0ced5ab
--- /dev/null
+++ b/src/backend/base/langflow/services/deps.py
@@ -0,0 +1,262 @@
+from contextlib import contextmanager
+from typing import TYPE_CHECKING, Generator
+
+from langflow.services.schema import ServiceType
+
+if TYPE_CHECKING:
+    from sqlmodel import Session
+
+    from langflow.services.cache.service import CacheService
+    from langflow.services.chat.service import ChatService
+    from langflow.services.database.service import DatabaseService
+    from langflow.services.monitor.service import MonitorService
+    from langflow.services.plugins.service import PluginService
+    from langflow.services.session.service import SessionService
+    from langflow.services.settings.service import SettingsService
+    from langflow.services.socket.service import SocketIOService
+    from langflow.services.state.service import StateService
+    from langflow.services.storage.service import StorageService
+    from langflow.services.store.service import StoreService
+    from langflow.services.task.service import TaskService
+    from langflow.services.telemetry.service import TelemetryService
+    from langflow.services.tracing.service import TracingService
+    from langflow.services.variable.service import VariableService
+
+
+def get_service(service_type: ServiceType, default=None):
+    """
+    Retrieves the service instance for the given service type.
+
+    Args:
+        service_type (ServiceType): The type of service to retrieve.
+
+    Returns:
+        Any: The service instance.
+
+    """
+    from langflow.services.manager import service_manager
+
+    if not service_manager.factories:
+        #! This is a workaround to ensure that the service manager is initialized
+        #! Not optimal, but it works for now
+        service_manager.register_factories()
+    return service_manager.get(service_type, default)  # type: ignore
+
+
+def get_telemetry_service() -> "TelemetryService":
+    """
+    Retrieves the TelemetryService instance from the service manager.
+
+    Returns:
+        TelemetryService: The TelemetryService instance.
+    """
+    from langflow.services.telemetry.factory import TelemetryServiceFactory
+
+    return get_service(ServiceType.TELEMETRY_SERVICE, TelemetryServiceFactory())  # type: ignore
+
+
+def get_tracing_service() -> "TracingService":
+    """
+    Retrieves the TracingService instance from the service manager.
+
+    Returns:
+        TracingService: The TracingService instance.
+    """
+    from langflow.services.tracing.factory import TracingServiceFactory
+
+    return get_service(ServiceType.TRACING_SERVICE, TracingServiceFactory())  # type: ignore
+
+
+def get_state_service() -> "StateService":
+    """
+    Retrieves the StateService instance from the service manager.
+
+    Returns:
+        The StateService instance.
+    """
+    from langflow.services.state.factory import StateServiceFactory
+
+    return get_service(ServiceType.STATE_SERVICE, StateServiceFactory())  # type: ignore
+
+
+def get_socket_service() -> "SocketIOService":
+    """
+    Get the SocketIOService instance from the service manager.
+
+    Returns:
+        SocketIOService: The SocketIOService instance.
+    """
+    return get_service(ServiceType.SOCKETIO_SERVICE)  # type: ignore
+
+
+def get_storage_service() -> "StorageService":
+    """
+    Retrieves the storage service instance.
+
+    Returns:
+        The storage service instance.
+    """
+    from langflow.services.storage.factory import StorageServiceFactory
+
+    return get_service(ServiceType.STORAGE_SERVICE, default=StorageServiceFactory())  # type: ignore
+
+
+def get_variable_service() -> "VariableService":
+    """
+    Retrieves the VariableService instance from the service manager.
+
+    Returns:
+        The VariableService instance.
+
+    """
+    from langflow.services.variable.factory import VariableServiceFactory
+
+    return get_service(ServiceType.VARIABLE_SERVICE, VariableServiceFactory())  # type: ignore
+
+
+def get_plugins_service() -> "PluginService":
+    """
+    Get the PluginService instance from the service manager.
+
+    Returns:
+        PluginService: The PluginService instance.
+    """
+    return get_service(ServiceType.PLUGIN_SERVICE)  # type: ignore
+
+
+def get_settings_service() -> "SettingsService":
+    """
+    Retrieves the SettingsService instance.
+
+    If the service is not yet initialized, it will be initialized before returning.
+
+    Returns:
+        The SettingsService instance.
+
+    Raises:
+        ValueError: If the service cannot be retrieved or initialized.
+    """
+    from langflow.services.settings.factory import SettingsServiceFactory
+
+    return get_service(ServiceType.SETTINGS_SERVICE, SettingsServiceFactory())  # type: ignore
+
+
+def get_db_service() -> "DatabaseService":
+    """
+    Retrieves the DatabaseService instance from the service manager.
+
+    Returns:
+        The DatabaseService instance.
+
+    """
+    from langflow.services.database.factory import DatabaseServiceFactory
+
+    return get_service(ServiceType.DATABASE_SERVICE, DatabaseServiceFactory())  # type: ignore
+
+
+def get_session() -> Generator["Session", None, None]:
+    """
+    Retrieves a session from the database service.
+
+    Yields:
+        Session: A session object.
+
+    """
+    db_service = get_db_service()
+    yield from db_service.get_session()
+
+
+@contextmanager
+def session_scope():
+    """
+    Context manager for managing a session scope.
+
+    This context manager is used to manage a session scope for database operations.
+    It ensures that the session is properly committed if no exceptions occur,
+    and rolled back if an exception is raised.
+
+    Yields:
+        session: The session object.
+
+    Raises:
+        Exception: If an error occurs during the session scope.
+
+    """
+    session = next(get_session())
+    try:
+        yield session
+        session.commit()
+    except:
+        session.rollback()
+        raise
+    finally:
+        session.close()
+
+
+def get_cache_service() -> "CacheService":
+    """
+    Retrieves the cache service from the service manager.
+
+    Returns:
+        The cache service instance.
+    """
+    from langflow.services.cache.factory import CacheServiceFactory
+
+    return get_service(ServiceType.CACHE_SERVICE, CacheServiceFactory())  # type: ignore
+
+
+def get_session_service() -> "SessionService":
+    """
+    Retrieves the session service from the service manager.
+
+    Returns:
+        The session service instance.
+    """
+    from langflow.services.session.factory import SessionServiceFactory
+
+    return get_service(ServiceType.SESSION_SERVICE, SessionServiceFactory())  # type: ignore
+
+
+def get_monitor_service() -> "MonitorService":
+    """
+    Retrieves the MonitorService instance from the service manager.
+
+    Returns:
+        MonitorService: The MonitorService instance.
+    """
+    from langflow.services.monitor.factory import MonitorServiceFactory
+
+    return get_service(ServiceType.MONITOR_SERVICE, MonitorServiceFactory())  # type: ignore
+
+
+def get_task_service() -> "TaskService":
+    """
+    Retrieves the TaskService instance from the service manager.
+
+    Returns:
+        The TaskService instance.
+
+    """
+    from langflow.services.task.factory import TaskServiceFactory
+
+    return get_service(ServiceType.TASK_SERVICE, TaskServiceFactory())  # type: ignore
+
+
+def get_chat_service() -> "ChatService":
+    """
+    Get the chat service instance.
+
+    Returns:
+        ChatService: The chat service instance.
+    """
+    return get_service(ServiceType.CHAT_SERVICE)  # type: ignore
+
+
+def get_store_service() -> "StoreService":
+    """
+    Retrieves the StoreService instance from the service manager.
+
+    Returns:
+        StoreService: The StoreService instance.
+    """
+    return get_service(ServiceType.STORE_SERVICE)  # type: ignore
diff --git a/src/backend/base/langflow/services/factory.py b/src/backend/base/langflow/services/factory.py
new file mode 100644
index 00000000000..49bea7db247
--- /dev/null
+++ b/src/backend/base/langflow/services/factory.py
@@ -0,0 +1,83 @@
+import importlib
+import inspect
+from typing import TYPE_CHECKING, Type, get_type_hints
+
+from cachetools import LRUCache, cached
+from loguru import logger
+
+from langflow.services.schema import ServiceType
+
+if TYPE_CHECKING:
+    from langflow.services.base import Service
+
+
+class ServiceFactory:
+    def __init__(
+        self,
+        service_class,
+    ):
+        self.service_class = service_class
+        self.dependencies = infer_service_types(self, import_all_services_into_a_dict())
+
+    def create(self, *args, **kwargs) -> "Service":
+        raise self.service_class(*args, **kwargs)
+
+
+def hash_factory(factory: Type[ServiceFactory]) -> str:
+    return factory.service_class.__name__
+
+
+def hash_dict(d: dict) -> str:
+    return str(d)
+
+
+def hash_infer_service_types_args(factory_class: Type[ServiceFactory], available_services=None) -> str:
+    factory_hash = hash_factory(factory_class)
+    services_hash = hash_dict(available_services)
+    return f"{factory_hash}_{services_hash}"
+
+
+@cached(cache=LRUCache(maxsize=10), key=hash_infer_service_types_args)
+def infer_service_types(factory_class: Type[ServiceFactory], available_services=None) -> list["ServiceType"]:
+    create_method = factory_class.create
+    type_hints = get_type_hints(create_method, globalns=available_services)
+    service_types = []
+    for param_name, param_type in type_hints.items():
+        # Skip the return type if it's included in type hints
+        if param_name == "return":
+            continue
+
+        # Convert the type to the expected enum format directly without appending "_SERVICE"
+        type_name = param_type.__name__.upper().replace("SERVICE", "_SERVICE")
+
+        try:
+            # Attempt to find a matching enum value
+            service_type = ServiceType[type_name]
+            service_types.append(service_type)
+        except KeyError:
+            raise ValueError(f"No matching ServiceType for parameter type: {param_type.__name__}")
+    return service_types
+
+
+@cached(cache=LRUCache(maxsize=1))
+def import_all_services_into_a_dict():
+    # Services are all in langflow.services.{service_name}.service
+    # and are subclass of Service
+    # We want to import all of them and put them in a dict
+    # to use as globals
+    from langflow.services.base import Service
+
+    services = {}
+    for service_type in ServiceType:
+        try:
+            service_name = ServiceType(service_type).value.replace("_service", "")
+            module_name = f"langflow.services.{service_name}.service"
+            module = importlib.import_module(module_name)
+            for name, obj in inspect.getmembers(module, inspect.isclass):
+                if issubclass(obj, Service) and obj is not Service:
+                    services[name] = obj
+                    break
+        except Exception as exc:
+            logger.exception(exc)
+            raise RuntimeError("Could not initialize services. Please check your settings.") from exc
+    return services
diff --git a/src/backend/base/langflow/services/manager.py b/src/backend/base/langflow/services/manager.py
new file mode 100644
index 00000000000..cd27754d1f6
--- /dev/null
+++ b/src/backend/base/langflow/services/manager.py
@@ -0,0 +1,163 @@
+import importlib
+import inspect
+from typing import TYPE_CHECKING, Dict, Optional
+
+from loguru import logger
+
+if TYPE_CHECKING:
+    from langflow.services.base import Service
+
+    from langflow.services.factory import ServiceFactory
+    from langflow.services.schema import ServiceType
+
+
+class NoFactoryRegisteredError(Exception):
+    pass
+
+
+class ServiceManager:
+    """
+    Manages the creation of different services.
+    """
+
+    def __init__(self):
+        self.services: Dict[str, "Service"] = {}
+        self.factories = {}
+        self.register_factories()
+
+    def register_factories(self):
+        for factory in self.get_factories():
+            try:
+                self.register_factory(factory)
+            except Exception as exc:
+                logger.exception(exc)
+                logger.error(f"Error initializing {factory}: {exc}")
+
+    def register_factory(
+        self,
+        service_factory: "ServiceFactory",
+    ):
+        """
+        Registers a new factory with dependencies.
+        """
+
+        service_name = service_factory.service_class.name
+        self.factories[service_name] = service_factory
+
+    def get(self, service_name: "ServiceType", default: Optional["ServiceFactory"] = None) -> "Service":
+        """
+        Get (or create) a service by its name.
+        """
+
+        if service_name not in self.services:
+            self._create_service(service_name, default)
+
+        return self.services[service_name]
+
+    def _create_service(self, service_name: "ServiceType", default: Optional["ServiceFactory"] = None):
+        """
+        Create a new service given its name, handling dependencies.
+        """
+        logger.debug(f"Create service {service_name}")
+        self._validate_service_creation(service_name, default)
+
+        # Create dependencies first
+        factory = self.factories.get(service_name)
+        if factory is None and default is not None:
+            self.register_factory(default)
+            factory = default
+        for dependency in factory.dependencies:
+            if dependency not in self.services:
+                self._create_service(dependency)
+
+        # Collect the dependent services
+        dependent_services = {dep.value: self.services[dep] for dep in factory.dependencies}
+
+        # Create the actual service
+        self.services[service_name] = self.factories[service_name].create(**dependent_services)
+        self.services[service_name].set_ready()
+
+    def _validate_service_creation(self, service_name: "ServiceType", default: Optional["ServiceFactory"] = None):
+        """
+        Validate whether the service can be created.
+        """
+        if service_name not in self.factories and default is None:
+            raise NoFactoryRegisteredError(f"No factory registered for the service class '{service_name.name}'")
+
+    def update(self, service_name: "ServiceType"):
+        """
+        Update a service by its name.
+        """
+        if service_name in self.services:
+            logger.debug(f"Update service {service_name}")
+            self.services.pop(service_name, None)
+            self.get(service_name)
+
+    def teardown(self):
+        """
+        Teardown all the services.
+        """
+        for service in self.services.values():
+            if service is None:
+                continue
+            logger.debug(f"Teardown service {service.name}")
+            try:
+                service.teardown()
+            except Exception as exc:
+                logger.exception(exc)
+        self.services = {}
+        self.factories = {}
+
+    @staticmethod
+    def get_factories():
+        from langflow.services.factory import ServiceFactory
+        from langflow.services.schema import ServiceType
+
+        service_names = [ServiceType(service_type).value.replace("_service", "") for service_type in ServiceType]
+        base_module = "langflow.services"
+        factories = []
+
+        for name in service_names:
+            try:
+                module_name = f"{base_module}.{name}.factory"
+                module = importlib.import_module(module_name)
+
+                # Find all classes in the module that are subclasses of ServiceFactory
+                for name, obj in inspect.getmembers(module, inspect.isclass):
+                    if issubclass(obj, ServiceFactory) and obj is not ServiceFactory:
+                        factories.append(obj())
+                        break
+
+            except Exception as exc:
+                logger.exception(exc)
+                raise RuntimeError(
+                    f"Could not initialize services. Please check your settings. Error in {name}."
+                ) from exc
+
+        return factories
+
+
+service_manager = ServiceManager()
+
+
+def initialize_settings_service():
+    """
+    Initialize the settings manager.
+    """
+    from langflow.services.settings import factory as settings_factory
+
+    service_manager.register_factory(settings_factory.SettingsServiceFactory())
+
+
+def initialize_session_service():
+    """
+    Initialize the session manager.
+    """
+    from langflow.services.cache import factory as cache_factory
+    from langflow.services.session import factory as session_service_factory  # type: ignore
+
+    initialize_settings_service()
+
+    service_manager.register_factory(cache_factory.CacheServiceFactory())
+
+    service_manager.register_factory(session_service_factory.SessionServiceFactory())
diff --git a/src/backend/langflow/services/chat/__init__.py b/src/backend/base/langflow/services/monitor/__init__.py
similarity index 100%
rename from src/backend/langflow/services/chat/__init__.py
rename to src/backend/base/langflow/services/monitor/__init__.py
diff --git a/src/backend/base/langflow/services/monitor/factory.py b/src/backend/base/langflow/services/monitor/factory.py
new file mode 100644
index 00000000000..054e6bb3f49
--- /dev/null
+++ b/src/backend/base/langflow/services/monitor/factory.py
@@ -0,0 +1,13 @@
+from langflow.services.factory import ServiceFactory
+from langflow.services.monitor.service import MonitorService
+from langflow.services.settings.service import SettingsService
+
+
+class MonitorServiceFactory(ServiceFactory):
+    name = "monitor_service"
+
+    def __init__(self):
+        super().__init__(MonitorService)
+
+    def create(self, settings_service: SettingsService):
+        return self.service_class(settings_service)
diff --git a/src/backend/base/langflow/services/monitor/schema.py b/src/backend/base/langflow/services/monitor/schema.py
new file mode 100644
index 00000000000..2294678fe7d
--- /dev/null
+++ b/src/backend/base/langflow/services/monitor/schema.py
@@ -0,0 +1,226 @@
+import json
+from datetime import datetime, timezone
+from typing import Any, Optional
+
+from pydantic import BaseModel, Field, field_serializer, field_validator
+
+from langflow.schema.message import Message
+
+
+class DefaultModel(BaseModel):
+    class Config:
+        from_attributes = True
+        populate_by_name = True
+        json_encoders = {
+            datetime: lambda v: v.isoformat(),
+        }
+
+    def json(self, **kwargs):
+        # Usa a função de serialização personalizada
+        return super().model_dump_json(**kwargs, encoder=self.custom_encoder)
+
+    @staticmethod
+    def custom_encoder(obj):
+        if isinstance(obj, datetime):
+            return obj.isoformat()
+        raise TypeError(f"Object of type {obj.__class__.__name__} is not JSON serializable")
+
+
+class TransactionModel(DefaultModel):
+    index: Optional[int] = Field(default=None)
+    timestamp: Optional[datetime] = Field(default_factory=datetime.now, alias="timestamp")
+    vertex_id: str
+    target_id: str | None = None
+    inputs: dict
+    outputs: Optional[dict] = None
+    status: str
+    error: Optional[str] = None
+    flow_id: Optional[str] = Field(default=None, alias="flow_id")
+
+    # validate target_args in case it is a JSON
+    @field_validator("outputs", "inputs", mode="before")
+    def validate_target_args(cls, v):
+        if isinstance(v, str):
+            return json.loads(v)
+        return v
+
+    @field_serializer("outputs", "inputs")
+    def serialize_target_args(v):
+        if isinstance(v, dict):
+            return json.dumps(v)
+        return v
+
+
+class TransactionModelResponse(DefaultModel):
+    index: Optional[int] = Field(default=None)
+    timestamp: Optional[datetime] = Field(default_factory=datetime.now, alias="timestamp")
+    vertex_id: str
+    inputs: dict
+    outputs: Optional[dict] = None
+    status: str
+    error: Optional[str] = None
+    flow_id: Optional[str] = Field(default=None, alias="flow_id")
+    source: Optional[str] = None
+    target: Optional[str] = None
+
+    # validate target_args in case it is a JSON
+    @field_validator("outputs", "inputs", mode="before")
+    def validate_target_args(cls, v):
+        if isinstance(v, str):
+            return json.loads(v)
+        return v
+
+    @field_validator("index", mode="before")
+    def validate_id(cls, v):
+        if isinstance(v, float):
+            try:
+                return int(v)
+            except ValueError:
+                return None
+        return v
+
+
+class MessageModel(DefaultModel):
+    index: Optional[int] = Field(default=None)
+    flow_id: Optional[str] = Field(default=None, alias="flow_id")
+    timestamp: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
+    sender: str
+    sender_name: str
+    session_id: str
+    text: str
+    files: list[str] = []
+
+    @field_validator("files", mode="before")
+    @classmethod
+    def validate_files(cls, v):
+        if isinstance(v, str):
+            v = json.loads(v)
+        return v
+
+    @field_serializer("timestamp")
+    @classmethod
+    def serialize_timestamp(cls, v):
+        v = v.replace(microsecond=0)
+        return v.strftime("%Y-%m-%d %H:%M:%S")
+
+    @field_serializer("files")
+    @classmethod
+    def serialize_files(cls, v):
+        if isinstance(v, list):
+            return json.dumps(v)
+        return v
+
+    @classmethod
+    def from_message(cls, message: Message, flow_id: Optional[str] = None):
+        # first check if the record has all the required fields
+        if message.text is None or not message.sender or not message.sender_name:
+            raise ValueError("The message does not have the required fields (text, sender, sender_name).")
+        return cls(
+            sender=message.sender,
+            sender_name=message.sender_name,
+            text=message.text,
+            session_id=message.session_id,
+            files=message.files or [],
+            timestamp=message.timestamp,
+            flow_id=flow_id,
+        )
+
+
+class MessageModelResponse(MessageModel):
+    index: Optional[int] = Field(default=None)
+
+    @field_validator("index", mode="before")
+    def validate_id(cls, v):
+        if isinstance(v, float):
+            try:
+                return int(v)
+            except ValueError:
+                return None
+        return v
+
+
+class MessageModelRequest(MessageModel):
+    text: str = Field(default="")
+    sender: str = Field(default="")
+    sender_name: str = Field(default="")
+    session_id: str = Field(default="")
+
+
+class VertexBuildModel(DefaultModel):
+    index: Optional[int] = Field(default=None, alias="index", exclude=True)
+    id: Optional[str] = Field(default=None, alias="id")
+    flow_id: str
+    valid: bool
+    params: Any
+    data: dict
+    artifacts: dict
+    timestamp: datetime = Field(default_factory=datetime.now)
+
+    @field_serializer("data", "artifacts")
+    def serialize_dict(v):
+        if isinstance(v, dict):
+            # check if the value of each key is a BaseModel or a list of BaseModels
+            for key, value in v.items():
+                if isinstance(value, BaseModel):
+                    v[key] = value.model_dump()
+                elif isinstance(value, list) and all(isinstance(i, BaseModel) for i in value):
+                    v[key] = [i.model_dump() for i in value]
+            return json.dumps(v, default=str)
+        elif isinstance(v, BaseModel):
+            return v.model_dump_json()
+        return v
+
+    @field_validator("params", mode="before")
+    def validate_params(cls, v):
+        if isinstance(v, str):
+            try:
+                return json.loads(v)
+            except json.JSONDecodeError:
+                return v
+        return v
+
+    @field_serializer("params")
+    def serialize_params(v):
+        if isinstance(v, list) and all(isinstance(i, BaseModel) for i in v):
+            return json.dumps([i.model_dump() for i in v])
+        return v
+
+    @field_validator("data", mode="before")
+    def validate_data(cls, v):
+        if isinstance(v, str):
+            return json.loads(v)
+        return v
+
+    @field_validator("artifacts", mode="before")
+    def validate_artifacts(cls, v):
+        if isinstance(v, str):
+            return json.loads(v)
+        elif isinstance(v, BaseModel):
+            return v.model_dump()
+        return v
+
+
+class VertexBuildResponseModel(VertexBuildModel):
+    @field_serializer("data", "artifacts")
+    def serialize_dict(v):
+        return v
+
+
+def to_map(value: dict):
+    keys = list(value.keys())
+    values = list(value.values())
+    return {"key": keys, "value": values}
+
+
+class VertexBuildMapModel(BaseModel):
+    vertex_builds: dict[str, list[VertexBuildResponseModel]]
+
+    @classmethod
+    def from_list_of_dicts(cls, vertex_build_dicts):
+        vertex_build_map = {}
+        for vertex_build_dict in vertex_build_dicts:
+            vertex_build = VertexBuildResponseModel(**vertex_build_dict)
+            if vertex_build.id not in vertex_build_map:
+                vertex_build_map[vertex_build.id] = []
+            vertex_build_map[vertex_build.id].append(vertex_build)
+        return cls(vertex_builds=vertex_build_map)
diff --git a/src/backend/base/langflow/services/monitor/service.py b/src/backend/base/langflow/services/monitor/service.py
new file mode 100644
index 00000000000..6b99b97605b
--- /dev/null
+++ b/src/backend/base/langflow/services/monitor/service.py
@@ -0,0 +1,200 @@
+from datetime import datetime
+from pathlib import Path
+from typing import TYPE_CHECKING, List, Optional, Union
+
+import duckdb
+from langflow.services.base import Service
+from langflow.services.monitor.utils import add_row_to_table, drop_and_create_table_if_schema_mismatch
+from loguru import logger
+from platformdirs import user_cache_dir
+
+if TYPE_CHECKING:
+    from langflow.services.settings.service import SettingsService
+    from langflow.services.monitor.schema import MessageModel, TransactionModel, VertexBuildModel
+
+
+class MonitorService(Service):
+    name = "monitor_service"
+
+    def __init__(self, settings_service: "SettingsService"):
+        from langflow.services.monitor.schema import MessageModel, TransactionModel, VertexBuildModel
+
+        self.settings_service = settings_service
+        self.base_cache_dir = Path(user_cache_dir("langflow"))
+        self.db_path = self.base_cache_dir / "monitor.duckdb"
+        self.table_map: dict[str, type[TransactionModel | MessageModel | VertexBuildModel]] = {
+            "transactions": TransactionModel,
+            "messages": MessageModel,
+            "vertex_builds": VertexBuildModel,
+        }
+
+        try:
+            self.ensure_tables_exist()
+        except Exception as e:
+            logger.exception(f"Error initializing monitor service: {e}")
+
+    def exec_query(self, query: str, read_only: bool = False):
+        with duckdb.connect(str(self.db_path), read_only=read_only) as conn:
+            return conn.execute(query).df()
+
+    def to_df(self, table_name):
+        return self.load_table_as_dataframe(table_name)
+
+    def ensure_tables_exist(self):
+        for table_name, model in self.table_map.items():
+            drop_and_create_table_if_schema_mismatch(str(self.db_path), table_name, model)
+
+    def add_row(
+        self,
+        table_name: str,
+        data: Union[dict, "TransactionModel", "MessageModel", "VertexBuildModel"],
+    ):
+        # Make sure the model passed matches the table
+
+        model = self.table_map.get(table_name)
+        if model is None:
+            raise ValueError(f"Unknown table name: {table_name}")
+
+        # Connect to DuckDB and add the row
+        with duckdb.connect(str(self.db_path), read_only=False) as conn:
+            add_row_to_table(conn, table_name, model, data)
+
+    def load_table_as_dataframe(self, table_name):
+        with duckdb.connect(str(self.db_path)) as conn:
+            return conn.table(table_name).df()
+
+    @staticmethod
+    def get_timestamp():
+        return datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+
+    def get_vertex_builds(
+        self,
+        flow_id: Optional[str] = None,
+        vertex_id: Optional[str] = None,
+        valid: Optional[bool] = None,
+        order_by: Optional[str] = "timestamp",
+    ):
+        query = "SELECT id, index,flow_id, valid, params, data, artifacts, timestamp FROM vertex_builds"
+        conditions = []
+        if flow_id:
+            conditions.append(f"flow_id = '{flow_id}'")
+        if vertex_id:
+            conditions.append(f"id = '{vertex_id}'")
+        if valid is not None:  # Check for None because valid is a boolean
+            valid_str = "true" if valid else "false"
+            conditions.append(f"valid = {valid_str}")
+
+        if conditions:
+            query += " WHERE " + " AND ".join(conditions)
+
+        if order_by:
+            query += f" ORDER BY {order_by}"
+
+        with duckdb.connect(str(self.db_path), read_only=True) as conn:
+            df = conn.execute(query).df()
+
+        return df.to_dict(orient="records")
+
+    def delete_vertex_builds(self, flow_id: Optional[str] = None):
+        query = "DELETE FROM vertex_builds"
+        if flow_id:
+            query += f" WHERE flow_id = '{flow_id}'"
+
+        with duckdb.connect(str(self.db_path), read_only=False) as conn:
+            conn.execute(query)
+
+    def delete_messages_session(self, session_id: str):
+        query = f"DELETE FROM messages WHERE session_id = '{session_id}'"
+
+        return self.exec_query(query, read_only=False)
+
+    def delete_messages(self, message_ids: Union[List[int], str]):
+        if isinstance(message_ids, list):
+            # If message_ids is a list, join the string representations of the integers
+            ids_str = ",".join(map(str, message_ids))
+        elif isinstance(message_ids, str):
+            # If message_ids is already a string, use it directly
+            ids_str = message_ids
+        else:
+            raise ValueError("message_ids must be a list of integers or a string")
+
+        query = f"DELETE FROM messages WHERE index IN ({ids_str})"
+
+        return self.exec_query(query, read_only=False)
+
+    def update_message(self, message_id: str, **kwargs):
+        query = (
+            f"""UPDATE messages SET {', '.join(f"{k} = '{v}'" for k, v in kwargs.items())} WHERE index = {message_id}"""
+        )
+
+        return self.exec_query(query, read_only=False)
+
+    def add_message(self, message: "MessageModel"):
+        self.add_row("messages", message)
+
+    def get_messages(
+        self,
+        flow_id: Optional[str] = None,
+        sender: Optional[str] = None,
+        sender_name: Optional[str] = None,
+        session_id: Optional[str] = None,
+        order_by: Optional[str] = "timestamp",
+        order: Optional[str] = "DESC",
+        limit: Optional[int] = None,
+    ):
+        query = "SELECT index, flow_id, sender_name, sender, session_id, text, files, timestamp FROM messages"
+        conditions = []
+        if sender:
+            conditions.append(f"sender = '{sender}'")
+        if sender_name:
+            conditions.append(f"sender_name = '{sender_name}'")
+        if session_id:
+            conditions.append(f"session_id = '{session_id}'")
+        if flow_id:
+            conditions.append(f"flow_id = '{flow_id}'")
+
+        if conditions:
+            query += " WHERE " + " AND ".join(conditions)
+
+        if order_by and order:
+            # Make sure the order is from newest to oldest
+            query += f" ORDER BY {order_by} {order.upper()}"
+
+        if limit is not None:
+            query += f" LIMIT {limit}"
+
+        with duckdb.connect(str(self.db_path), read_only=True) as conn:
+            df = conn.execute(query).df()
+
+        return df
+
+    def get_transactions(
+        self,
+        source: Optional[str] = None,
+        target: Optional[str] = None,
+        status: Optional[str] = None,
+        order_by: Optional[str] = "timestamp",
+        flow_id: Optional[str] = None,
+    ):
+        query = (
+            "SELECT index,flow_id, status, error, timestamp, vertex_id, inputs, outputs, target_id FROM transactions"
+        )
+        conditions = []
+        if source:
+            conditions.append(f"source = '{source}'")
+        if target:
+            conditions.append(f"target = '{target}'")
+        if status:
+            conditions.append(f"status = '{status}'")
+        if flow_id:
+            conditions.append(f"flow_id = '{flow_id}'")
+
+        if conditions:
+            query += " WHERE " + " AND ".join(conditions)
+
+        if order_by:
+            query += f" ORDER BY {order_by} DESC"
+        with duckdb.connect(str(self.db_path), read_only=True) as conn:
+            df = conn.execute(query).df()
+
+        return df.to_dict(orient="records")
diff --git a/src/backend/base/langflow/services/monitor/utils.py b/src/backend/base/langflow/services/monitor/utils.py
new file mode 100644
index 00000000000..97bb8e6e3f7
--- /dev/null
+++ b/src/backend/base/langflow/services/monitor/utils.py
@@ -0,0 +1,202 @@
+from typing import TYPE_CHECKING, Any, Dict, Optional, Type, Union
+
+import duckdb
+import threading
+from loguru import logger
+from pydantic import BaseModel
+
+from langflow.services.deps import get_monitor_service
+
+if TYPE_CHECKING:
+    from langflow.api.v1.schemas import ResultDataResponse
+    from langflow.graph.vertex.base import Vertex
+
+
+INDEX_KEY = "index"
+
+#  Lock to prevent multiple threads from creating the same table at the same time
+drop_create_table_lock = threading.Lock()
+
+
+def get_table_schema_as_dict(conn: duckdb.DuckDBPyConnection, table_name: str) -> dict:
+    result = conn.execute(f"PRAGMA table_info('{table_name}')").fetchall()
+    schema = {row[1]: row[2].upper() for row in result}
+    schema.pop(INDEX_KEY, None)
+    return schema
+
+
+def model_to_sql_column_definitions(model: Type[BaseModel]) -> dict:
+    columns = {}
+    for field_name, field_type in model.model_fields.items():
+        if hasattr(field_type.annotation, "__args__") and field_type.annotation is not None:
+            field_args = field_type.annotation.__args__
+        else:
+            field_args = []
+        field_info = field_args[0] if field_args else field_type.annotation
+        if field_info.__name__ == "int":
+            sql_type = "INTEGER"
+        elif field_info.__name__ == "str":
+            sql_type = "VARCHAR"
+        elif field_info.__name__ == "datetime":
+            sql_type = "TIMESTAMP"
+        elif field_info.__name__ == "bool":
+            sql_type = "BOOLEAN"
+        elif field_info.__name__ == "dict":
+            sql_type = "VARCHAR"
+        elif field_info.__name__ == "Any":
+            sql_type = "VARCHAR"
+        else:
+            continue  # Skip types we don't handle
+        columns[field_name] = sql_type
+    return columns
+
+
+def drop_and_create_table_if_schema_mismatch(db_path: str, table_name: str, model: Type[BaseModel]):
+    with drop_create_table_lock:
+        with duckdb.connect(db_path) as conn:
+            # Get the current schema from the database
+            try:
+                current_schema = get_table_schema_as_dict(conn, table_name)
+            except duckdb.CatalogException:
+                current_schema = {}
+            # Get the desired schema from the model
+            desired_schema = model_to_sql_column_definitions(model)
+
+            # Compare the current and desired schemas
+
+            if current_schema != desired_schema:
+                # If they don't match, drop the existing table and create a new one
+                conn.execute(f"DROP TABLE IF EXISTS {table_name}")
+                if INDEX_KEY in desired_schema.keys():
+                    # Create a sequence for the id column
+                    try:
+                        conn.execute(f"CREATE SEQUENCE seq_{table_name} START 1;")
+                    except duckdb.CatalogException:
+                        pass
+                    desired_schema[INDEX_KEY] = f"INTEGER PRIMARY KEY DEFAULT NEXTVAL('seq_{table_name}')"
+                columns_sql = ", ".join(f"{name} {data_type}" for name, data_type in desired_schema.items())
+                create_table_sql = f"CREATE TABLE {table_name} ({columns_sql})"
+                conn.execute(create_table_sql)
+
+
+def add_row_to_table(
+    conn: duckdb.DuckDBPyConnection,
+    table_name: str,
+    model: Type,
+    monitor_data: Union[Dict[str, Any], BaseModel],
+):
+    # Validate the data with the Pydantic model
+    if isinstance(monitor_data, model):
+        validated_data = monitor_data
+    else:
+        validated_data = model(**monitor_data)
+
+    # Extract data for the insert statement
+    validated_dict = validated_data.model_dump()
+    keys = [key for key in validated_dict.keys() if key != INDEX_KEY]
+    columns = ", ".join(keys)
+
+    values_placeholders = ", ".join(["?" for _ in keys])
+    values = [validated_dict[key] for key in keys]
+
+    # Create the insert statement
+    insert_sql = f"INSERT INTO {table_name} ({columns}) VALUES ({values_placeholders})"
+
+    # Execute the insert statement
+    try:
+        conn.execute(insert_sql, values)
+    except Exception as e:
+        # Log values types
+        column_error_message = ""
+        for key, value in validated_dict.items():
+            logger.error(f"{key}: {type(value)}")
+            if str(value) in str(e):
+                column_error_message = f"Column: {key} Value: {value} Error: {e}"
+
+        if column_error_message:
+            logger.error(f"Error adding row to {table_name}: {column_error_message}")
+        else:
+            logger.error(f"Error adding row to {table_name}: {e}")
+
+
+async def log_message(
+    sender: str,
+    sender_name: str,
+    message: str,
+    session_id: str,
+    files: Optional[list] = None,
+    flow_id: Optional[str] = None,
+):
+    try:
+        monitor_service = get_monitor_service()
+        row = {
+            "sender": sender,
+            "sender_name": sender_name,
+            "message": message,
+            "files": files or [],
+            "session_id": session_id,
+            "timestamp": monitor_service.get_timestamp(),
+            "flow_id": flow_id,
+        }
+        monitor_service.add_row(table_name="messages", data=row)
+    except Exception as e:
+        logger.error(f"Error logging message: {e}")
+
+
+async def log_vertex_build(
+    flow_id: str,
+    vertex_id: str,
+    valid: bool,
+    params: Any,
+    data: "ResultDataResponse",
+    artifacts: Optional[dict] = None,
+):
+    try:
+        monitor_service = get_monitor_service()
+
+        row = {
+            "flow_id": flow_id,
+            "id": vertex_id,
+            "valid": valid,
+            "params": params,
+            "data": data.model_dump(),
+            "artifacts": artifacts or {},
+            "timestamp": monitor_service.get_timestamp(),
+        }
+        monitor_service.add_row(table_name="vertex_builds", data=row)
+    except Exception as e:
+        logger.exception(f"Error logging vertex build: {e}")
+
+
+def build_clean_params(target: "Vertex") -> dict:
+    """
+    Cleans the parameters of the target vertex.
+    """
+    # Removes all keys that the values aren't python types like str, int, bool, etc.
+    params = {
+        key: value for key, value in target.params.items() if isinstance(value, (str, int, bool, float, list, dict))
+    }
+    # if it is a list we need to check if the contents are python types
+    for key, value in params.items():
+        if isinstance(value, list):
+            params[key] = [item for item in value if isinstance(item, (str, int, bool, float, list, dict))]
+    return params
+
+
+def log_transaction(flow_id, source: "Vertex", status, target: Optional["Vertex"] = None, error=None):
+    try:
+        monitor_service = get_monitor_service()
+        clean_params = build_clean_params(source)
+        data = {
+            "vertex_id": str(source.id),
+            "target_id": str(target.id) if target else None,
+            "inputs": clean_params,
+            "outputs": source.result.model_dump_json() if source.result else None,
+            "timestamp": monitor_service.get_timestamp(),
+            "status": status,
+            "error": error,
+            "flow_id": flow_id,
+        }
+        monitor_service.add_row(table_name="transactions", data=data)
+    except Exception as e:
+        logger.error(f"Error logging transaction: {e}")
diff --git a/src/backend/langflow/services/credentials/__init__.py b/src/backend/base/langflow/services/plugins/__init__.py
similarity index 100%
rename from src/backend/langflow/services/credentials/__init__.py
rename to src/backend/base/langflow/services/plugins/__init__.py
diff --git a/src/backend/langflow/services/plugins/base.py b/src/backend/base/langflow/services/plugins/base.py
similarity index 100%
rename from src/backend/langflow/services/plugins/base.py
rename to src/backend/base/langflow/services/plugins/base.py
diff --git a/src/backend/langflow/services/plugins/factory.py b/src/backend/base/langflow/services/plugins/factory.py
similarity index 100%
rename from src/backend/langflow/services/plugins/factory.py
rename to src/backend/base/langflow/services/plugins/factory.py
diff --git a/src/backend/langflow/services/plugins/langfuse_plugin.py b/src/backend/base/langflow/services/plugins/langfuse_plugin.py
similarity index 86%
rename from src/backend/langflow/services/plugins/langfuse_plugin.py
rename to src/backend/base/langflow/services/plugins/langfuse_plugin.py
index e5d3afdd646..ffc8139f392 100644
--- a/src/backend/langflow/services/plugins/langfuse_plugin.py
+++ b/src/backend/base/langflow/services/plugins/langfuse_plugin.py
@@ -1,8 +1,9 @@
 from typing import Optional
 
+from loguru import logger
+
 from langflow.services.deps import get_settings_service
 from langflow.services.plugins.base import CallbackPlugin
-from loguru import logger
 
 
 class LangfuseInstance:
@@ -23,12 +24,12 @@ def create(cls):
 
             settings_manager = get_settings_service()
 
-            if settings_manager.settings.LANGFUSE_PUBLIC_KEY and settings_manager.settings.LANGFUSE_SECRET_KEY:
+            if settings_manager.settings.langfuse_public_key and settings_manager.settings.langfuse_secret_key:
                 logger.debug("Langfuse credentials found")
                 cls._instance = Langfuse(
-                    public_key=settings_manager.settings.LANGFUSE_PUBLIC_KEY,
-                    secret_key=settings_manager.settings.LANGFUSE_SECRET_KEY,
-                    host=settings_manager.settings.LANGFUSE_HOST,
+                    public_key=settings_manager.settings.langfuse_public_key,
+                    secret_key=settings_manager.settings.langfuse_secret_key,
+                    host=settings_manager.settings.langfuse_host,
                 )
             else:
                 logger.debug("No Langfuse credentials found")
diff --git a/src/backend/base/langflow/services/plugins/service.py b/src/backend/base/langflow/services/plugins/service.py
new file mode 100644
index 00000000000..98f210feabd
--- /dev/null
+++ b/src/backend/base/langflow/services/plugins/service.py
@@ -0,0 +1,67 @@
+import importlib
+import inspect
+import os
+from typing import TYPE_CHECKING, Union
+
+from loguru import logger
+
+from langflow.services.base import Service
+from langflow.services.plugins.base import BasePlugin, CallbackPlugin
+
+if TYPE_CHECKING:
+    from langflow.services.settings.service import SettingsService
+
+
+class PluginService(Service):
+    name = "plugin_service"
+
+    def __init__(self, settings_service: "SettingsService"):
+        self.plugins: dict[str, BasePlugin] = {}
+        # plugin_dir = settings_service.settings.PLUGIN_DIR
+        self.plugin_dir = os.path.dirname(__file__)
+        self.plugins_base_module = "langflow.services.plugins"
+        self.load_plugins()
+
+    def load_plugins(self):
+        base_files = ["base.py", "service.py", "factory.py", "__init__.py"]
+        for module in os.listdir(self.plugin_dir):
+            if module.endswith(".py") and module not in base_files:
+                plugin_name = module[:-3]
+                module_path = f"{self.plugins_base_module}.{plugin_name}"
+                try:
+                    mod = importlib.import_module(module_path)
+                    for attr_name in dir(mod):
+                        attr = getattr(mod, attr_name)
+                        if (
+                            inspect.isclass(attr)
+                            and issubclass(attr, BasePlugin)
+                            and attr not in [CallbackPlugin, BasePlugin]
+                        ):
+                            self.register_plugin(plugin_name, attr())
+                except Exception as exc:
+                    logger.error(f"Error loading plugin {plugin_name}: {exc}")
+
+    def register_plugin(self, plugin_name, plugin_instance):
+        self.plugins[plugin_name] = plugin_instance
+        plugin_instance.initialize()
+
+    def get_plugin(self, plugin_name) -> Union[BasePlugin, None]:
+        return self.plugins.get(plugin_name)
+
+    def get(self, plugin_name):
+        if plugin := self.get_plugin(plugin_name):
+            return plugin.get()
+        return None
+
+    def teardown(self):
+        for plugin in self.plugins.values():
+            plugin.teardown()
+
+    def get_callbacks(self, _id=None):
+        callbacks = []
+        for plugin in self.plugins.values():
+            if isinstance(plugin, CallbackPlugin):
+                callback = plugin.get_callback(_id=_id)
+                if callback:
+                    callbacks.append(callback)
+        return callbacks
diff --git a/src/backend/base/langflow/services/schema.py b/src/backend/base/langflow/services/schema.py
new file mode 100644
index 00000000000..eafc0c08590
--- /dev/null
+++ b/src/backend/base/langflow/services/schema.py
@@ -0,0 +1,25 @@
+from enum import Enum
+
+
+class ServiceType(str, Enum):
+    """
+    Enum for the different types of services that can be
+    registered with the service manager.
+    """
+
+    AUTH_SERVICE = "auth_service"
+    CACHE_SERVICE = "cache_service"
+    SETTINGS_SERVICE = "settings_service"
+    DATABASE_SERVICE = "database_service"
+    CHAT_SERVICE = "chat_service"
+    SESSION_SERVICE = "session_service"
+    TASK_SERVICE = "task_service"
+    PLUGINS_SERVICE = "plugins_service"
+    STORE_SERVICE = "store_service"
+    VARIABLE_SERVICE = "variable_service"
+    STORAGE_SERVICE = "storage_service"
+    MONITOR_SERVICE = "monitor_service"
+    # SOCKETIO_SERVICE = "socket_service"
+    STATE_SERVICE = "state_service"
+    TRACING_SERVICE = "tracing_service"
+    TELEMETRY_SERVICE = "telemetry_service"
diff --git a/src/backend/langflow/services/database/__init__.py b/src/backend/base/langflow/services/session/__init__.py
similarity index 100%
rename from src/backend/langflow/services/database/__init__.py
rename to src/backend/base/langflow/services/session/__init__.py
diff --git a/src/backend/base/langflow/services/session/factory.py b/src/backend/base/langflow/services/session/factory.py
new file mode 100644
index 00000000000..d55bd5b4685
--- /dev/null
+++ b/src/backend/base/langflow/services/session/factory.py
@@ -0,0 +1,15 @@
+from typing import TYPE_CHECKING
+
+from langflow.services.factory import ServiceFactory
+from langflow.services.session.service import SessionService
+
+if TYPE_CHECKING:
+    from langflow.services.cache.service import CacheService
+
+
+class SessionServiceFactory(ServiceFactory):
+    def __init__(self):
+        super().__init__(SessionService)
+
+    def create(self, cache_service: "CacheService"):
+        return SessionService(cache_service)
diff --git a/src/backend/base/langflow/services/session/service.py b/src/backend/base/langflow/services/session/service.py
new file mode 100644
index 00000000000..e0feea4e089
--- /dev/null
+++ b/src/backend/base/langflow/services/session/service.py
@@ -0,0 +1,56 @@
+from typing import Coroutine, Optional
+
+from langflow.services.base import Service
+from langflow.services.cache.base import CacheService
+from langflow.services.session.utils import compute_dict_hash, session_id_generator
+
+
+class SessionService(Service):
+    name = "session_service"
+
+    def __init__(self, cache_service):
+        self.cache_service: "CacheService" = cache_service
+
+    async def load_session(self, key, flow_id: str, data_graph: Optional[dict] = None):
+        # Check if the data is cached
+        if key in self.cache_service:
+            result = self.cache_service.get(key)
+            if isinstance(result, Coroutine):
+                result = await result
+            return result
+
+        if key is None:
+            key = self.generate_key(session_id=None, data_graph=data_graph)
+        if data_graph is None:
+            return (None, None)
+        # If not cached, build the graph and cache it
+        from langflow.graph.graph.base import Graph
+
+        graph = Graph.from_payload(data_graph, flow_id=flow_id)
+        artifacts: dict = {}
+        await self.cache_service.set(key, (graph, artifacts))
+
+        return graph, artifacts
+
+    def build_key(self, session_id, data_graph):
+        json_hash = compute_dict_hash(data_graph)
+        return f"{session_id}{':' if session_id else ''}{json_hash}"
+
+    def generate_key(self, session_id, data_graph):
+        # Hash the JSON and combine it with the session_id to create a unique key
+        if session_id is None:
+            # generate a 5 char session_id to concatenate with the json_hash
+            session_id = session_id_generator()
+        return self.build_key(session_id, data_graph=data_graph)
+
+    async def update_session(self, session_id, value):
+        result = self.cache_service.set(session_id, value)
+        # if it is a coroutine, await it
+        if isinstance(result, Coroutine):
+            await result
+
+    async def clear_session(self, session_id):
+        result = self.cache_service.delete(session_id)
+        # if it is a coroutine, await it
+        if isinstance(result, Coroutine):
+            await result
diff --git a/src/backend/langflow/services/session/utils.py b/src/backend/base/langflow/services/session/utils.py
similarity index 100%
rename from src/backend/langflow/services/session/utils.py
rename to src/backend/base/langflow/services/session/utils.py
diff --git a/src/backend/langflow/services/settings/__init__.py b/src/backend/base/langflow/services/settings/__init__.py
similarity index 100%
rename from src/backend/langflow/services/settings/__init__.py
rename to src/backend/base/langflow/services/settings/__init__.py
diff --git a/src/backend/base/langflow/services/settings/auth.py b/src/backend/base/langflow/services/settings/auth.py
new file mode 100644
index 00000000000..b88ffe83200
--- /dev/null
+++ b/src/backend/base/langflow/services/settings/auth.py
@@ -0,0 +1,112 @@
+import secrets
+from pathlib import Path
+from typing import Literal
+
+from langflow.services.settings.constants import DEFAULT_SUPERUSER, DEFAULT_SUPERUSER_PASSWORD
+from langflow.services.settings.utils import read_secret_from_file, write_secret_to_file
+from loguru import logger
+from passlib.context import CryptContext
+from pydantic import Field, SecretStr, field_validator
+from pydantic_settings import BaseSettings
+
+
+class AuthSettings(BaseSettings):
+    # Login settings
+    CONFIG_DIR: str
+    SECRET_KEY: SecretStr = Field(
+        default=SecretStr(""),
+        description="Secret key for JWT. If not provided, a random one will be generated.",
+        frozen=False,
+    )
+    ALGORITHM: str = "HS256"
+    ACCESS_TOKEN_EXPIRE_SECONDS: int = 60 * 60  # 1 hour
+    REFRESH_TOKEN_EXPIRE_SECONDS: int = 60 * 60 * 24 * 7  # 7 days
+
+    # API Key to execute /process endpoint
+    API_KEY_ALGORITHM: str = "HS256"
+    API_V1_STR: str = "/api/v1"
+
+    # If AUTO_LOGIN = True
+    # > The application does not request login and logs in automatically as a super user.
+    AUTO_LOGIN: bool = True
+    NEW_USER_IS_ACTIVE: bool = False
+    SUPERUSER: str = DEFAULT_SUPERUSER
+    SUPERUSER_PASSWORD: str = DEFAULT_SUPERUSER_PASSWORD
+
+    REFRESH_SAME_SITE: Literal["lax", "strict", "none"] = "none"
+    """The SameSite attribute of the refresh token cookie."""
+    REFRESH_SECURE: bool = True
+    """The Secure attribute of the refresh token cookie."""
+    REFRESH_HTTPONLY: bool = True
+    """The HttpOnly attribute of the refresh token cookie."""
+    ACCESS_SAME_SITE: Literal["lax", "strict", "none"] = "lax"
+    """The SameSite attribute of the access token cookie."""
+    ACCESS_SECURE: bool = False
+    """The Secure attribute of the access token cookie."""
+    ACCESS_HTTPONLY: bool = False
+    """The HttpOnly attribute of the access token cookie."""
+
+    COOKIE_DOMAIN: str | None = None
+    """The domain attribute of the cookies. If None, the domain is not set."""
+
+    pwd_context: CryptContext = CryptContext(schemes=["bcrypt"], deprecated="auto")
+
+    class Config:
+        validate_assignment = True
+        extra = "ignore"
+        env_prefix = "LANGFLOW_"
+
+    def reset_credentials(self):
+        self.SUPERUSER = DEFAULT_SUPERUSER
+        self.SUPERUSER_PASSWORD = DEFAULT_SUPERUSER_PASSWORD
+
+    # If autologin is true, then we need to set the credentials to
+    # the default values
+    # so we need to validate the superuser and superuser_password
+    # fields
+    @field_validator("SUPERUSER", "SUPERUSER_PASSWORD", mode="before")
+    @classmethod
+    def validate_superuser(cls, value, info):
+        if info.data.get("AUTO_LOGIN"):
+            if value != DEFAULT_SUPERUSER:
+                value = DEFAULT_SUPERUSER
+                logger.debug("Resetting superuser to default value")
+            if info.data.get("SUPERUSER_PASSWORD") != DEFAULT_SUPERUSER_PASSWORD:
+                info.data["SUPERUSER_PASSWORD"] = DEFAULT_SUPERUSER_PASSWORD
+                logger.debug("Resetting superuser password to default value")
+
+            return value
+
+        return value
+
+    @field_validator("SECRET_KEY", mode="before")
+    @classmethod
+    def get_secret_key(cls, value, info):
+        config_dir = info.data.get("CONFIG_DIR")
+
+        if not config_dir:
+            logger.debug("No CONFIG_DIR provided, not saving secret key")
+            return value or secrets.token_urlsafe(32)
+
+        secret_key_path = Path(config_dir) / "secret_key"
+
+        if value:
+            logger.debug("Secret key provided")
+            secret_value = value.get_secret_value() if isinstance(value, SecretStr) else value
+            write_secret_to_file(secret_key_path, secret_value)
+        else:
+            logger.debug("No secret key provided, generating a random one")
+
+            if secret_key_path.exists():
+                value = read_secret_from_file(secret_key_path)
+                logger.debug("Loaded secret key")
+                if not value:
+                    value = secrets.token_urlsafe(32)
+                    write_secret_to_file(secret_key_path, value)
+                    logger.debug("Saved secret key")
+            else:
+                value = secrets.token_urlsafe(32)
+                write_secret_to_file(secret_key_path, value)
+                logger.debug("Saved secret key")
+
+        return value if isinstance(value, SecretStr) else SecretStr(value)
diff --git a/src/backend/base/langflow/services/settings/base.py b/src/backend/base/langflow/services/settings/base.py
new file mode 100644
index 00000000000..5f1c3c64857
--- /dev/null
+++ b/src/backend/base/langflow/services/settings/base.py
@@ -0,0 +1,344 @@
+import contextlib
+import json
+import os
+from pathlib import Path
+from shutil import copy2
+from typing import Any, List, Optional, Tuple, Type
+
+import orjson
+import yaml
+from loguru import logger
+from pydantic import field_validator
+from pydantic.fields import FieldInfo
+from pydantic_settings import BaseSettings, EnvSettingsSource, PydanticBaseSettingsSource, SettingsConfigDict
+
+from langflow.services.settings.constants import VARIABLES_TO_GET_FROM_ENVIRONMENT
+
+# BASE_COMPONENTS_PATH = str(Path(__file__).parent / "components")
+BASE_COMPONENTS_PATH = str(Path(__file__).parent.parent.parent / "components")
+
+
+def is_list_of_any(field: FieldInfo) -> bool:
+    """
+    Check if the given field is a list or an optional list of any type.
+
+    Args:
+        field (FieldInfo): The field to be checked.
+
+    Returns:
+        bool: True if the field is a list or a list of any type, False otherwise.
+    """
+    if field.annotation is None:
+        return False
+    try:
+        if hasattr(field.annotation, "__args__"):
+            union_args = field.annotation.__args__
+        else:
+            union_args = []
+
+        return field.annotation.__origin__ == list or any(
+            arg.__origin__ == list for arg in union_args if hasattr(arg, "__origin__")
+        )
+    except AttributeError:
+        return False
+
+
+class MyCustomSource(EnvSettingsSource):
+    def prepare_field_value(self, field_name: str, field: FieldInfo, value: Any, value_is_complex: bool) -> Any:
+        # allow comma-separated list parsing
+
+        # fieldInfo contains the annotation of the field
+        if is_list_of_any(field):
+            if isinstance(value, str):
+                value = value.split(",")
+            if isinstance(value, list):
+                return value
+
+        return super().prepare_field_value(field_name, field, value, value_is_complex)
+
+
+class Settings(BaseSettings):
+    # Define the default LANGFLOW_DIR
+    config_dir: Optional[str] = None
+    # Define if langflow db should be saved in config dir or
+    # in the langflow directory
+    save_db_in_config_dir: bool = False
+    """Define if langflow database should be saved in LANGFLOW_CONFIG_DIR or in the langflow directory (i.e. in the package directory)."""
+
+    dev: bool = False
+    database_url: Optional[str] = None
+    """Database URL for Langflow. If not provided, Langflow will use a SQLite database."""
+    pool_size: int = 10
+    """The number of connections to keep open in the connection pool. If not provided, the default is 10."""
+    max_overflow: int = 20
+    """The number of connections to allow that can be opened beyond the pool size. If not provided, the default is 10."""
+    cache_type: str = "async"
+    """The cache type can be 'async' or 'redis'."""
+    variable_store: str = "db"
+    """The store can be 'db' or 'kubernetes'."""
+
+    remove_api_keys: bool = False
+    components_path: List[str] = []
+    langchain_cache: str = "InMemoryCache"
+    load_flows_path: Optional[str] = None
+
+    # Redis
+    redis_host: str = "localhost"
+    redis_port: int = 6379
+    redis_db: int = 0
+    redis_url: Optional[str] = None
+    redis_cache_expire: int = 3600
+
+    # Sentry
+    sentry_dsn: Optional[str] = None
+    sentry_traces_sample_rate: Optional[float] = 1.0
+    sentry_profiles_sample_rate: Optional[float] = 1.0
+
+    # PLUGIN_DIR: Optional[str] = None
+
+    langfuse_secret_key: Optional[str] = None
+    langfuse_public_key: Optional[str] = None
+    langfuse_host: Optional[str] = None
+
+    store: Optional[bool] = True
+    store_url: Optional[str] = "https://api.langflow.store"
+    download_webhook_url: Optional[str] = (
+        "https://api.langflow.store/flows/trigger/ec611a61-8460-4438-b187-a4f65e5559d4"
+    )
+    like_webhook_url: Optional[str] = "https://api.langflow.store/flows/trigger/64275852-ec00-45c1-984e-3bff814732da"
+
+    storage_type: str = "local"
+
+    celery_enabled: bool = False
+
+    fallback_to_env_var: bool = True
+    """If set to True, Global Variables set in the UI will fallback to a environment variable
+    with the same name in case Langflow fails to retrieve the variable value."""
+
+    store_environment_variables: bool = True
+    """Whether to store environment variables as Global Variables in the database."""
+    variables_to_get_from_environment: list[str] = VARIABLES_TO_GET_FROM_ENVIRONMENT
+    """List of environment variables to get from the environment and store in the database."""
+    worker_timeout: int = 300
+    """Timeout for the API calls in seconds."""
+    frontend_timeout: int = 0
+    """Timeout for the frontend API calls in seconds."""
+    user_agent: str = "langflow"
+    """User agent for the API calls."""
+    backend_only: bool = False
+    """If set to True, Langflow will not serve the frontend."""
+
+    # Telemetry
+    do_not_track: bool = False
+    """If set to True, Langflow will not track telemetry."""
+    telemetry_base_url: str = "https://langflow.gateway.scarf.sh"
+
+    @field_validator("user_agent", mode="after")
+    @classmethod
+    def set_user_agent(cls, value):
+        if not value:
+            value = "Langflow"
+        import os
+
+        os.environ["USER_AGENT"] = value
+        logger.debug(f"Setting user agent to {value}")
+        return value
+
+    @field_validator("config_dir", mode="before")
+    @classmethod
+    def set_langflow_dir(cls, value):
+        if not value:
+            from platformdirs import user_cache_dir
+
+            # Define the app name and author
+            app_name = "langflow"
+            app_author = "langflow"
+
+            # Get the cache directory for the application
+            cache_dir = user_cache_dir(app_name, app_author)
+
+            # Create a .langflow directory inside the cache directory
+            value = Path(cache_dir)
+            value.mkdir(parents=True, exist_ok=True)
+
+        if isinstance(value, str):
+            value = Path(value)
+        if not value.exists():
+            value.mkdir(parents=True, exist_ok=True)
+
+        return str(value)
+
+    @field_validator("database_url", mode="before")
+    @classmethod
+    def set_database_url(cls, value, info):
+        if not value:
+            logger.debug("No database_url provided, trying LANGFLOW_DATABASE_URL env variable")
+            if langflow_database_url := os.getenv("LANGFLOW_DATABASE_URL"):
+                value = langflow_database_url
+                logger.debug("Using LANGFLOW_DATABASE_URL env variable.")
+            else:
+                logger.debug("No database_url env variable, using sqlite database")
+                # Originally, we used sqlite:///./langflow.db
+                # so we need to migrate to the new format
+                # if there is a database in that location
+                if not info.data["config_dir"]:
+                    raise ValueError("config_dir not set, please set it or provide a database_url")
+                try:
+                    from langflow.version import is_pre_release  # type: ignore
+                except ImportError:
+                    from importlib import metadata
+
+                    version = metadata.version("langflow-base")
+                    is_pre_release = "a" in version or "b" in version or "rc" in version
+
+                if info.data["save_db_in_config_dir"]:
+                    database_dir = info.data["config_dir"]
+                    logger.debug(f"Saving database to config_dir: {database_dir}")
+                else:
+                    database_dir = Path(__file__).parent.parent.parent.resolve()
+                    logger.debug(f"Saving database to langflow directory: {database_dir}")
+
+                pre_db_file_name = "langflow-pre.db"
+                db_file_name = "langflow.db"
+                new_pre_path = f"{database_dir}/{pre_db_file_name}"
+                new_path = f"{database_dir}/{db_file_name}"
+                final_path = None
+                if is_pre_release:
+                    if Path(new_pre_path).exists():
+                        final_path = new_pre_path
+                    elif Path(new_path).exists() and info.data["save_db_in_config_dir"]:
+                        # We need to copy the current db to the new location
+                        logger.debug("Copying existing database to new location")
+                        copy2(new_path, new_pre_path)
+                        logger.debug(f"Copied existing database to {new_pre_path}")
+                    elif Path(f"./{db_file_name}").exists() and info.data["save_db_in_config_dir"]:
+                        logger.debug("Copying existing database to new location")
+                        copy2(f"./{db_file_name}", new_pre_path)
+                        logger.debug(f"Copied existing database to {new_pre_path}")
+                    else:
+                        logger.debug(f"Creating new database at {new_pre_path}")
+                        final_path = new_pre_path
+                else:
+                    if Path(new_path).exists():
+                        logger.debug(f"Database already exists at {new_path}, using it")
+                        final_path = new_path
+                    elif Path("./{db_file_name}").exists():
+                        try:
+                            logger.debug("Copying existing database to new location")
+                            copy2("./{db_file_name}", new_path)
+                            logger.debug(f"Copied existing database to {new_path}")
+                        except Exception:
+                            logger.error("Failed to copy database, using default path")
+                            new_path = "./{db_file_name}"
+                    else:
+                        final_path = new_path
+
+                if final_path is None:
+                    if is_pre_release:
+                        final_path = new_pre_path
+                    else:
+                        final_path = new_path
+
+                value = f"sqlite:///{final_path}"
+
+        return value
+
+    @field_validator("components_path", mode="before")
+    def set_components_path(cls, value):
+        if os.getenv("LANGFLOW_COMPONENTS_PATH"):
+            logger.debug("Adding LANGFLOW_COMPONENTS_PATH to components_path")
+            langflow_component_path = os.getenv("LANGFLOW_COMPONENTS_PATH")
+            if Path(langflow_component_path).exists() and langflow_component_path not in value:
+                if isinstance(langflow_component_path, list):
+                    for path in langflow_component_path:
+                        if path not in value:
+                            value.append(path)
+                    logger.debug(f"Extending {langflow_component_path} to components_path")
+                elif langflow_component_path not in value:
+                    value.append(langflow_component_path)
+                    logger.debug(f"Appending {langflow_component_path} to components_path")
+
+        if not value:
+            value = [BASE_COMPONENTS_PATH]
+            logger.debug("Setting default components path to components_path")
+        elif BASE_COMPONENTS_PATH not in value:
+            value.append(BASE_COMPONENTS_PATH)
+            logger.debug("Adding default components path to components_path")
+
+        logger.debug(f"Components path: {value}")
+        return value
+
+    model_config = SettingsConfigDict(validate_assignment=True, extra="ignore", env_prefix="LANGFLOW_")
+
+    def update_from_yaml(self, file_path: str, dev: bool = False):
+        new_settings = load_settings_from_yaml(file_path)
+        self.components_path = new_settings.components_path or []
+        self.dev = dev
+
+    def update_settings(self, **kwargs):
+        logger.debug("Updating settings")
+        for key, value in kwargs.items():
+            # value may contain sensitive information, so we don't want to log it
+            if not hasattr(self, key):
+                logger.debug(f"Key {key} not found in settings")
+                continue
+            logger.debug(f"Updating {key}")
+            if isinstance(getattr(self, key), list):
+                # value might be a '[something]' string
+                with contextlib.suppress(json.decoder.JSONDecodeError):
+                    value = orjson.loads(str(value))
+                if isinstance(value, list):
+                    for item in value:
+                        if isinstance(item, Path):
+                            item = str(item)
+                        if item not in getattr(self, key):
+                            getattr(self, key).append(item)
+                    logger.debug(f"Extended {key}")
+                else:
+                    if isinstance(value, Path):
+                        value = str(value)
+                    if value not in getattr(self, key):
+                        getattr(self, key).append(value)
+                        logger.debug(f"Appended {key}")
+
+            else:
+                setattr(self, key, value)
+                logger.debug(f"Updated {key}")
+            logger.debug(f"{key}: {getattr(self, key)}")
+
+    @classmethod
+    def settings_customise_sources(
+        cls,
+        settings_cls: Type[BaseSettings],
+        init_settings: PydanticBaseSettingsSource,
+        env_settings: PydanticBaseSettingsSource,
+        dotenv_settings: PydanticBaseSettingsSource,
+        file_secret_settings: PydanticBaseSettingsSource,
+    ) -> Tuple[PydanticBaseSettingsSource, ...]:
+        return (MyCustomSource(settings_cls),)
+
+
+def save_settings_to_yaml(settings: Settings, file_path: str):
+    with open(file_path, "w") as f:
+        settings_dict = settings.model_dump()
+        yaml.dump(settings_dict, f)
+
+
+def load_settings_from_yaml(file_path: str) -> Settings:
+    # Check if a string is a valid path or a file name
+    if "/" not in file_path:
+        # Get current path
+        current_path = os.path.dirname(os.path.abspath(__file__))
+
+        file_path = os.path.join(current_path, file_path)
+
+    with open(file_path, "r") as f:
+        settings_dict = yaml.safe_load(f)
+        settings_dict = {k.upper(): v for k, v in settings_dict.items()}
+
+        for key in settings_dict:
+            if key not in Settings.model_fields.keys():
+                raise KeyError(f"Key {key} not found in settings")
+            logger.debug(f"Loading {len(settings_dict[key])} {key} from {file_path}")
+
+    return Settings(**settings_dict)
diff --git a/src/backend/base/langflow/services/settings/constants.py b/src/backend/base/langflow/services/settings/constants.py
new file mode 100644
index 00000000000..256030183b0
--- /dev/null
+++ b/src/backend/base/langflow/services/settings/constants.py
@@ -0,0 +1,25 @@
+DEFAULT_SUPERUSER = "langflow"
+DEFAULT_SUPERUSER_PASSWORD = "langflow"
+VARIABLES_TO_GET_FROM_ENVIRONMENT = [
+    "OPENAI_API_KEY",
+    "ANTHROPIC_API_KEY",
+    "GOOGLE_API_KEY",
+    "AZURE_OPENAI_API_KEY",
+    "AZURE_OPENAI_API_VERSION",
+    "AZURE_OPENAI_API_INSTANCE_NAME",
+    "AZURE_OPENAI_API_DEPLOYMENT_NAME",
+    "AZURE_OPENAI_API_EMBEDDINGS_DEPLOYMENT_NAME",
+    "ASTRA_DB_APPLICATION_TOKEN",
+    "ASTRA_DB_API_ENDPOINT",
+    "COHERE_API_KEY",
+    "GROQ_API_KEY",
+    "HUGGINGFACEHUB_API_TOKEN",
+    "PINECONE_API_KEY",
+    "SEARCHAPI_API_KEY",
+    "SERPAPI_API_KEY",
+    "UPSTASH_VECTOR_REST_URL",
+    "UPSTASH_VECTOR_REST_TOKEN",
+    "VECTARA_CUSTOMER_ID",
+    "VECTARA_CORPUS_ID",
+    "VECTARA_API_KEY",
+]
diff --git a/src/backend/base/langflow/services/settings/factory.py b/src/backend/base/langflow/services/settings/factory.py
new file mode 100644
index 00000000000..2393d391845
--- /dev/null
+++ b/src/backend/base/langflow/services/settings/factory.py
@@ -0,0 +1,12 @@
+from langflow.services.factory import ServiceFactory
+from langflow.services.settings.service import SettingsService
+
+
+class SettingsServiceFactory(ServiceFactory):
+    def __init__(self):
+        super().__init__(SettingsService)
+
+    def create(self):
+        # Here you would have logic to create and configure a SettingsService
+
+        return SettingsService.initialize()
diff --git a/src/backend/base/langflow/services/settings/manager.py b/src/backend/base/langflow/services/settings/manager.py
new file mode 100644
index 00000000000..d7d2184f345
--- /dev/null
+++ b/src/backend/base/langflow/services/settings/manager.py
@@ -0,0 +1,44 @@
+import os
+
+import yaml
+from loguru import logger
+
+from langflow.services.base import Service
+from langflow.services.settings.auth import AuthSettings
+from langflow.services.settings.base import Settings
+
+
+class SettingsService(Service):
+    name = "settings_service"
+
+    def __init__(self, settings: Settings, auth_settings: AuthSettings):
+        super().__init__()
+        self.settings = settings
+        self.auth_settings = auth_settings
+
+    @classmethod
+    def load_settings_from_yaml(cls, file_path: str) -> "SettingsService":
+        # Check if a string is a valid path or a file name
+        if "/" not in file_path:
+            # Get current path
+            current_path = os.path.dirname(os.path.abspath(__file__))
+
+            file_path = os.path.join(current_path, file_path)
+
+        with open(file_path, "r") as f:
+            settings_dict = yaml.safe_load(f)
+            settings_dict = {k.upper(): v for k, v in settings_dict.items()}
+
+            for key in settings_dict:
+                if key not in Settings.model_fields.keys():
+                    raise KeyError(f"Key {key} not found in settings")
+                logger.debug(f"Loading {len(settings_dict[key])} {key} from {file_path}")
+
+        settings = Settings(**settings_dict)
+        if not settings.config_dir:
+            raise ValueError("CONFIG_DIR must be set in settings")
+
+        auth_settings = AuthSettings(
+            CONFIG_DIR=settings.config_dir,
+        )
+        return cls(settings, auth_settings)
diff --git a/src/backend/base/langflow/services/settings/service.py b/src/backend/base/langflow/services/settings/service.py
new file mode 100644
index 00000000000..b83b47387a3
--- /dev/null
+++ b/src/backend/base/langflow/services/settings/service.py
@@ -0,0 +1,29 @@
+from langflow.services.base import Service
+from langflow.services.settings.auth import AuthSettings
+from langflow.services.settings.base import Settings
+
+
+class SettingsService(Service):
+    name = "settings_service"
+
+    def __init__(self, settings: Settings, auth_settings: AuthSettings):
+        super().__init__()
+        self.settings: Settings = settings
+        self.auth_settings: AuthSettings = auth_settings
+
+    @classmethod
+    def initialize(cls) -> "SettingsService":
+        # Check if a string is a valid path or a file name
+
+        settings = Settings()
+        if not settings.config_dir:
+            raise ValueError("CONFIG_DIR must be set in settings")
+
+        auth_settings = AuthSettings(
+            CONFIG_DIR=settings.config_dir,
+        )
+        return cls(settings, auth_settings)
+
+    def set(self, key, value):
+        setattr(self.settings, key, value)
+        return self.settings
diff --git a/src/backend/langflow/services/settings/utils.py b/src/backend/base/langflow/services/settings/utils.py
similarity index 100%
rename from src/backend/langflow/services/settings/utils.py
rename to src/backend/base/langflow/services/settings/utils.py
diff --git a/src/backend/langflow/services/plugins/__init__.py b/src/backend/base/langflow/services/socket/__init__.py
similarity index 100%
rename from src/backend/langflow/services/plugins/__init__.py
rename to src/backend/base/langflow/services/socket/__init__.py
diff --git a/src/backend/base/langflow/services/socket/factory.py b/src/backend/base/langflow/services/socket/factory.py
new file mode 100644
index 00000000000..3ea6bb0ba0c
--- /dev/null
+++ b/src/backend/base/langflow/services/socket/factory.py
@@ -0,0 +1,17 @@
+from typing import TYPE_CHECKING
+
+from langflow.services.factory import ServiceFactory
+from langflow.services.socket.service import SocketIOService
+
+if TYPE_CHECKING:
+    from langflow.services.cache.service import CacheService
+
+
+class SocketIOFactory(ServiceFactory):
+    def __init__(self):
+        super().__init__(
+            service_class=SocketIOService,
+        )
+
+    def create(self, cache_service: "CacheService"):
+        return SocketIOService(cache_service)
diff --git a/src/backend/base/langflow/services/socket/service.py b/src/backend/base/langflow/services/socket/service.py
new file mode 100644
index 00000000000..45cfc5fbcb1
--- /dev/null
+++ b/src/backend/base/langflow/services/socket/service.py
@@ -0,0 +1,86 @@
+from typing import TYPE_CHECKING, Any
+
+import socketio  # type: ignore
+from loguru import logger
+
+from langflow.services.base import Service
+from langflow.services.deps import get_chat_service
+from langflow.services.socket.utils import build_vertex, get_vertices
+
+if TYPE_CHECKING:
+    from langflow.services.cache.service import CacheService
+
+
+class SocketIOService(Service):
+    name = "socket_service"
+
+    def __init__(self, cache_service: "CacheService"):
+        self.cache_service = cache_service
+
+    def init(self, sio: socketio.AsyncServer):
+        # Registering event handlers
+        self.sio = sio
+        if self.sio:
+            self.sio.event(self.connect)
+            self.sio.event(self.disconnect)
+            self.sio.on("message")(self.message)
+            self.sio.on("get_vertices")(self.on_get_vertices)
+            self.sio.on("build_vertex")(self.on_build_vertex)
+        self.sessions = {}  # type: dict[str, dict]
+
+    async def emit_error(self, sid, error):
+        await self.sio.emit("error", to=sid, data=error)
+
+    async def connect(self, sid, environ):
+        logger.info(f"Socket connected: {sid}")
+        self.sessions[sid] = environ
+
+    async def disconnect(self, sid):
+        logger.info(f"Socket disconnected: {sid}")
+        self.sessions.pop(sid, None)
+
+    async def message(self, sid, data=None):
+        # Logic for handling messages
+        await self.emit_message(to=sid, data=data or {"foo": "bar", "baz": [1, 2, 3]})
+
+    async def emit_message(self, to, data):
+        # Abstracting sio.emit
+        await self.sio.emit("message", to=to, data=data)
+
+    async def emit_token(self, to, data):
+        await self.sio.emit("token", to=to, data=data)
+
+    async def on_get_vertices(self, sid, flow_id):
+        await get_vertices(self.sio, sid, flow_id, get_chat_service())
+
+    async def on_build_vertex(self, sid, flow_id, vertex_id, tweaks, inputs):
+        await build_vertex(
+            sio=self.sio,
+            sid=sid,
+            flow_id=flow_id,
+            vertex_id=vertex_id,
+            tweaks=tweaks,
+            inputs=inputs,
+            get_cache=self.get_cache,
+            set_cache=self.set_cache,
+        )
+
+    def get_cache(self, sid: str) -> Any:
+        """
+        Get the cache for a client.
+        """
+        return self.cache_service.get(sid)
+
+    def set_cache(self, sid: str, build_result: Any) -> bool:
+        """
+        Set the cache for a client.
+        """
+        # client_id is the flow id but that already exists in the cache
+        # so we need to change it to something else
+
+        result_dict = {
+            "result": build_result,
+            "type": type(build_result),
+        }
+        self.cache_service.upsert(sid, result_dict)
+        return sid in self.cache_service
diff --git a/src/backend/base/langflow/services/socket/utils.py b/src/backend/base/langflow/services/socket/utils.py
new file mode 100644
index 00000000000..c1f012e1815
--- /dev/null
+++ b/src/backend/base/langflow/services/socket/utils.py
@@ -0,0 +1,103 @@
+import time
+from typing import Callable
+
+import socketio  # type: ignore
+from sqlmodel import select
+
+from langflow.api.utils import format_elapsed_time
+from langflow.api.v1.schemas import ResultDataResponse, VertexBuildResponse
+from langflow.graph.graph.base import Graph
+from langflow.graph.vertex.base import Vertex
+from langflow.services.database.models.flow.model import Flow
+from langflow.services.deps import get_session
+from langflow.services.monitor.utils import log_vertex_build
+
+
+def set_socketio_server(socketio_server):
+    from langflow.services.deps import get_socket_service
+
+    socket_service = get_socket_service()
+    socket_service.init(socketio_server)
+
+
+async def get_vertices(sio, sid, flow_id, chat_service):
+    try:
+        session = get_session()
+        flow: Flow = session.exec(select(Flow).where(Flow.id == flow_id)).first()
+        if not flow or not flow.data:
+            await sio.emit("error", data="Invalid flow ID", to=sid)
+            return
+
+        graph = Graph.from_payload(flow.data)
+        chat_service.set_cache(flow_id, graph)
+        vertices = graph.layered_topological_sort()
+
+        # Emit the vertices to the client
+        await sio.emit("vertices_order", data=vertices, to=sid)
+
+    except Exception as exc:
+        await sio.emit("error", data=str(exc), to=sid)
+
+
+async def build_vertex(
+    sio: socketio.AsyncServer,
+    sid: str,
+    flow_id: str,
+    vertex_id: str,
+    get_cache: Callable,
+    set_cache: Callable,
+    tweaks=None,
+    inputs=None,
+):
+    try:
+        cache = get_cache(flow_id)
+        graph = cache.get("result")
+
+        if not isinstance(graph, Graph):
+            await sio.emit("error", data="Invalid graph", to=sid)
+            return
+
+        vertex = graph.get_vertex(vertex_id)
+        if not vertex:
+            await sio.emit("error", data="Invalid vertex", to=sid)
+            return
+        start_time = time.perf_counter()
+        try:
+            if isinstance(vertex, Vertex) or not vertex._built:
+                await vertex.build(user_id=None, session_id=sid)
+            params = vertex._built_object_repr()
+            valid = True
+            result_dict = vertex.get_built_result()
+            # We need to set the artifacts to pass information
+            # to the frontend
+            vertex.set_artifacts()
+            artifacts = vertex.artifacts
+            timedelta = time.perf_counter() - start_time
+            duration = format_elapsed_time(timedelta)
+            result_dict = ResultDataResponse(
+                results=result_dict,
+                artifacts=artifacts,
+                duration=duration,
+                timedelta=timedelta,
+            )
+        except Exception as exc:
+            params = str(exc)
+            valid = False
+            result_dict = ResultDataResponse(results={})
+            artifacts = {}
+        set_cache(flow_id, graph)
+        await log_vertex_build(
+            flow_id=flow_id,
+            vertex_id=vertex_id,
+            valid=valid,
+            params=params,
+            data=result_dict,
+            artifacts=artifacts,
+        )
+
+        # Emit the vertex build response
+        response = VertexBuildResponse(valid=valid, params=params, id=vertex.id, data=result_dict)
+        await sio.emit("vertex_build", data=response.model_dump(), to=sid)
+
+    except Exception as exc:
+        await sio.emit("error", data=str(exc), to=sid)
diff --git a/src/backend/langflow/services/session/__init__.py b/src/backend/base/langflow/services/state/__init__.py
similarity index 100%
rename from src/backend/langflow/services/session/__init__.py
rename to src/backend/base/langflow/services/state/__init__.py
diff --git a/src/backend/base/langflow/services/state/factory.py b/src/backend/base/langflow/services/state/factory.py
new file mode 100644
index 00000000000..e6c5ee740e0
--- /dev/null
+++ b/src/backend/base/langflow/services/state/factory.py
@@ -0,0 +1,13 @@
+from langflow.services.factory import ServiceFactory
+from langflow.services.settings.service import SettingsService
+from langflow.services.state.service import InMemoryStateService
+
+
+class StateServiceFactory(ServiceFactory):
+    def __init__(self):
+        super().__init__(InMemoryStateService)
+
+    def create(self, settings_service: SettingsService):
+        return InMemoryStateService(
+            settings_service,
+        )
diff --git a/src/backend/base/langflow/services/state/service.py b/src/backend/base/langflow/services/state/service.py
new file mode 100644
index 00000000000..b56f95148ef
--- /dev/null
+++ b/src/backend/base/langflow/services/state/service.py
@@ -0,0 +1,74 @@
+from collections import defaultdict
+from threading import Lock
+from typing import Callable
+
+from loguru import logger
+
+from langflow.services.base import Service
+from langflow.services.settings.service import SettingsService
+
+
+class StateService(Service):
+    name = "state_service"
+
+    def append_state(self, key, new_state, run_id: str):
+        raise NotImplementedError
+
+    def update_state(self, key, new_state, run_id: str):
+        raise NotImplementedError
+
+    def get_state(self, key, run_id: str):
+        raise NotImplementedError
+
+    def subscribe(self, key, observer: Callable):
+        raise NotImplementedError
+
+    def notify_observers(self, key, new_state):
+        raise NotImplementedError
+
+
+class InMemoryStateService(StateService):
+    def __init__(self, settings_service: SettingsService):
+        self.settings_service = settings_service
+        self.states: dict = {}
+        self.observers: dict = defaultdict(list)
+        self.lock = Lock()
+
+    def append_state(self, key, new_state, run_id: str):
+        with self.lock:
+            if run_id not in self.states:
+                self.states[run_id] = {}
+            if key not in self.states[run_id]:
+                self.states[run_id][key] = []
+            elif not isinstance(self.states[run_id][key], list):
+                self.states[run_id][key] = [self.states[run_id][key]]
+            self.states[run_id][key].append(new_state)
+            self.notify_append_observers(key, new_state)
+
+    def update_state(self, key, new_state, run_id: str):
+        with self.lock:
+            if run_id not in self.states:
+                self.states[run_id] = {}
+            self.states[run_id][key] = new_state
+            self.notify_observers(key, new_state)
+
+    def get_state(self, key, run_id: str):
+        with self.lock:
+            return self.states.get(run_id, {}).get(key, "")
+
+    def subscribe(self, key, observer: Callable):
+        with self.lock:
+            if observer not in self.observers[key]:
+                self.observers[key].append(observer)
+
+    def notify_observers(self, key, new_state):
+        for callback in self.observers[key]:
+            callback(key, new_state, append=False)
+
+    def notify_append_observers(self, key, new_state):
+        for callback in self.observers[key]:
+            try:
+                callback(key, new_state, append=True)
+            except Exception as e:
+                logger.error(f"Error in observer {callback} for key {key}: {e}")
+                logger.warning("Callbacks not implemented yet")
diff --git a/src/backend/langflow/services/store/__init__.py b/src/backend/base/langflow/services/storage/__init__.py
similarity index 100%
rename from src/backend/langflow/services/store/__init__.py
rename to src/backend/base/langflow/services/storage/__init__.py
diff --git a/src/backend/base/langflow/services/storage/constants.py b/src/backend/base/langflow/services/storage/constants.py
new file mode 100644
index 00000000000..ddec29f3fa6
--- /dev/null
+++ b/src/backend/base/langflow/services/storage/constants.py
@@ -0,0 +1,28 @@
+EXTENSION_TO_CONTENT_TYPE = {
+    "json": "application/json",
+    "txt": "text/plain",
+    "csv": "text/csv",
+    "html": "text/html",
+    "pdf": "application/pdf",
+    "png": "image/png",
+    "jpg": "image/jpeg",
+    "jpeg": "image/jpeg",
+    "gif": "image/gif",
+    "svg": "image/svg+xml",
+    "mp3": "audio/mpeg",
+    "wav": "audio/wav",
+    "mp4": "video/mp4",
+    "webm": "video/webm",
+    "zip": "application/zip",
+    "tar": "application/x-tar",
+    "gz": "application/gzip",
+    "doc": "application/msword",
+    "docx": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
+    "xls": "application/vnd.ms-excel",
+    "xlsx": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
+    "ppt": "application/vnd.ms-powerpoint",
+    "pptx": "application/vnd.openxmlformats-officedocument.presentationml.presentation",
+    "xml": "application/xml",
+    "yaml": "application/x-yaml",
+    "yml": "application/x-yaml",
+}
diff --git a/src/backend/base/langflow/services/storage/factory.py b/src/backend/base/langflow/services/storage/factory.py
new file mode 100644
index 00000000000..ae4783f1ea0
--- /dev/null
+++ b/src/backend/base/langflow/services/storage/factory.py
@@ -0,0 +1,29 @@
+from loguru import logger
+
+from langflow.services.factory import ServiceFactory
+from langflow.services.session.service import SessionService
+from langflow.services.settings.service import SettingsService
+from langflow.services.storage.service import StorageService
+
+
+class StorageServiceFactory(ServiceFactory):
+    def __init__(self):
+        super().__init__(
+            StorageService,
+        )
+
+    def create(self, session_service: SessionService, settings_service: SettingsService):
+        storage_type = settings_service.settings.storage_type
+        if storage_type.lower() == "local":
+            from .local import LocalStorageService
+
+            return LocalStorageService(session_service, settings_service)
+        elif storage_type.lower() == "s3":
+            from .s3 import S3StorageService
+
+            return S3StorageService(session_service, settings_service)
+        else:
+            logger.warning(f"Storage type {storage_type} not supported. Using local storage.")
+            from .local import LocalStorageService
+
+            return LocalStorageService(session_service, settings_service)
diff --git a/src/backend/base/langflow/services/storage/local.py b/src/backend/base/langflow/services/storage/local.py
new file mode 100644
index 00000000000..9ad9feafb13
--- /dev/null
+++ b/src/backend/base/langflow/services/storage/local.py
@@ -0,0 +1,95 @@
+from pathlib import Path
+
+from loguru import logger
+
+from .service import StorageService
+
+
+class LocalStorageService(StorageService):
+    """A service class for handling local storage operations without aiofiles."""
+
+    def __init__(self, session_service, settings_service):
+        """Initialize the local storage service with session and settings services."""
+        super().__init__(session_service, settings_service)
+        self.data_dir = Path(settings_service.settings.config_dir)
+        self.set_ready()
+
+    def build_full_path(self, flow_id: str, file_name: str) -> str:
+        """Build the full path of a file in the local storage."""
+        return str(self.data_dir / flow_id / file_name)
+
+    async def save_file(self, flow_id: str, file_name: str, data: bytes):
+        """
+        Save a file in the local storage.
+
+        :param flow_id: The identifier for the flow.
+        :param file_name: The name of the file to be saved.
+        :param data: The byte content of the file.
+        :raises FileNotFoundError: If the specified flow does not exist.
+        :raises IsADirectoryError: If the file name is a directory.
+        :raises PermissionError: If there is no permission to write the file.
+        """
+        folder_path = self.data_dir / flow_id
+        folder_path.mkdir(parents=True, exist_ok=True)
+        file_path = folder_path / file_name
+
+        try:
+            with open(file_path, "wb") as f:
+                f.write(data)
+            logger.info(f"File {file_name} saved successfully in flow {flow_id}.")
+        except Exception as e:
+            logger.error(f"Error saving file {file_name} in flow {flow_id}: {e}")
+            raise e
+
+    async def get_file(self, flow_id: str, file_name: str) -> bytes:
+        """
+        Retrieve a file from the local storage.
+
+        :param flow_id: The identifier for the flow.
+        :param file_name: The name of the file to be retrieved.
+        :return: The byte content of the file.
+        :raises FileNotFoundError: If the file does not exist.
+        """
+        file_path = self.data_dir / flow_id / file_name
+        if not file_path.exists():
+            logger.warning(f"File {file_name} not found in flow {flow_id}.")
+            raise FileNotFoundError(f"File {file_name} not found in flow {flow_id}")
+
+        with open(file_path, "rb") as f:
+            logger.info(f"File {file_name} retrieved successfully from flow {flow_id}.")
+            return f.read()
+
+    async def list_files(self, flow_id: str):
+        """
+        List all files in a specified flow.
+
+        :param flow_id: The identifier for the flow.
+        :return: A list of file names.
+        :raises FileNotFoundError: If the flow directory does not exist.
+        """
+        folder_path = self.data_dir / flow_id
+        if not folder_path.exists() or not folder_path.is_dir():
+            logger.warning(f"Flow {flow_id} directory does not exist.")
+            raise FileNotFoundError(f"Flow {flow_id} directory does not exist.")
+
+        files = [file.name for file in folder_path.iterdir() if file.is_file()]
+        logger.info(f"Listed {len(files)} files in flow {flow_id}.")
+        return files
+
+    async def delete_file(self, flow_id: str, file_name: str):
+        """
+        Delete a file from the local storage.
+
+        :param flow_id: The identifier for the flow.
+        :param file_name: The name of the file to be deleted.
+        """
+        file_path = self.data_dir / flow_id / file_name
+        if file_path.exists():
+            file_path.unlink()
+            logger.info(f"File {file_name} deleted successfully from flow {flow_id}.")
+        else:
+            logger.warning(f"Attempted to delete non-existent file {file_name} in flow {flow_id}.")
+
+    def teardown(self):
+        """Perform any cleanup operations when the service is being torn down."""
+        pass  # No specific teardown actions required for local
diff --git a/src/backend/base/langflow/services/storage/s3.py b/src/backend/base/langflow/services/storage/s3.py
new file mode 100644
index 00000000000..4426f377c74
--- /dev/null
+++ b/src/backend/base/langflow/services/storage/s3.py
@@ -0,0 +1,89 @@
+import boto3  # type: ignore
+from botocore.exceptions import ClientError, NoCredentialsError  # type: ignore
+from loguru import logger
+
+from .service import StorageService
+
+
+class S3StorageService(StorageService):
+    """A service class for handling operations with AWS S3 storage."""
+
+    async def __init__(self, session_service, settings_service):
+        """Initialize the S3 storage service with session and settings services."""
+        super().__init__(session_service, settings_service)
+        self.bucket = "langflow"
+        self.s3_client = boto3.client("s3")
+        self.set_ready()
+
+    async def save_file(self, folder: str, file_name: str, data):
+        """
+        Save a file to the S3 bucket.
+
+        :param folder: The folder in the bucket to save the file.
+        :param file_name: The name of the file to be saved.
+        :param data: The byte content of the file.
+        :raises Exception: If an error occurs during file saving.
+        """
+        try:
+            self.s3_client.put_object(Bucket=self.bucket, Key=f"{folder}/{file_name}", Body=data)
+            logger.info(f"File {file_name} saved successfully in folder {folder}.")
+        except NoCredentialsError:
+            logger.error("Credentials not available for AWS S3.")
+            raise
+        except ClientError as e:
+            logger.error(f"Error saving file {file_name} in folder {folder}: {e}")
+            raise
+
+    async def get_file(self, folder: str, file_name: str):
+        """
+        Retrieve a file from the S3 bucket.
+
+        :param folder: The folder in the bucket where the file is stored.
+        :param file_name: The name of the file to be retrieved.
+        :return: The byte content of the file.
+        :raises Exception: If an error occurs during file retrieval.
+        """
+        try:
+            response = self.s3_client.get_object(Bucket=self.bucket, Key=f"{folder}/{file_name}")
+            logger.info(f"File {file_name} retrieved successfully from folder {folder}.")
+            return response["Body"].read()
+        except ClientError as e:
+            logger.error(f"Error retrieving file {file_name} from folder {folder}: {e}")
+            raise
+
+    async def list_files(self, folder: str):
+        """
+        List all files in a specified folder of the S3 bucket.
+
+        :param folder: The folder in the bucket to list files from.
+        :return: A list of file names.
+        :raises Exception: If an error occurs during file listing.
+        """
+        try:
+            response = self.s3_client.list_objects_v2(Bucket=self.bucket, Prefix=folder)
+            files = [item["Key"] for item in response.get("Contents", []) if "/" not in item["Key"][len(folder) :]]
+            logger.info(f"{len(files)} files listed in folder {folder}.")
+            return files
+        except ClientError as e:
+            logger.error(f"Error listing files in folder {folder}: {e}")
+            raise
+
+    async def delete_file(self, folder: str, file_name: str):
+        """
+        Delete a file from the S3 bucket.
+
+        :param folder: The folder in the bucket where the file is stored.
+        :param file_name: The name of the file to be deleted.
+        :raises Exception: If an error occurs during file deletion.
+        """
+        try:
+            self.s3_client.delete_object(Bucket=self.bucket, Key=f"{folder}/{file_name}")
+            logger.info(f"File {file_name} deleted successfully from folder {folder}.")
+        except ClientError as e:
+            logger.error(f"Error deleting file {file_name} from folder {folder}: {e}")
+            raise
+
+    async def teardown(self):
+        """Perform any cleanup operations when the service is being torn down."""
+        # No specific teardown actions required for S3 storage at the moment.
+        pass
diff --git a/src/backend/base/langflow/services/storage/service.py b/src/backend/base/langflow/services/storage/service.py
new file mode 100644
index 00000000000..ac226bc3180
--- /dev/null
+++ b/src/backend/base/langflow/services/storage/service.py
@@ -0,0 +1,42 @@
+from abc import abstractmethod
+from typing import TYPE_CHECKING
+
+from langflow.services.base import Service
+
+if TYPE_CHECKING:
+    from langflow.services.session.service import SessionService
+    from langflow.services.settings.service import SettingsService
+
+
+class StorageService(Service):
+    name = "storage_service"
+
+    def __init__(self, session_service: "SessionService", settings_service: "SettingsService"):
+        self.settings_service = settings_service
+        self.session_service = session_service
+        self.set_ready()
+
+    def build_full_path(self, flow_id: str, file_name: str) -> str:
+        raise NotImplementedError
+
+    def set_ready(self):
+        self.ready = True
+
+    @abstractmethod
+    async def save_file(self, flow_id: str, file_name: str, data) -> None:
+        raise NotImplementedError
+
+    @abstractmethod
+    async def get_file(self, flow_id: str, file_name: str) -> bytes:
+        raise NotImplementedError
+
+    @abstractmethod
+    async def list_files(self, flow_id: str) -> list[str]:
+        raise NotImplementedError
+
+    @abstractmethod
+    async def delete_file(self, flow_id: str, file_name: str) -> bool:
+        raise NotImplementedError
+
+    def teardown(self):
+        raise NotImplementedError
diff --git a/src/backend/base/langflow/services/storage/utils.py b/src/backend/base/langflow/services/storage/utils.py
new file mode 100644
index 00000000000..a5515171bfc
--- /dev/null
+++ b/src/backend/base/langflow/services/storage/utils.py
@@ -0,0 +1,5 @@
+from langflow.services.storage.constants import EXTENSION_TO_CONTENT_TYPE
+
+
+def build_content_type_from_extension(extension: str):
+    return EXTENSION_TO_CONTENT_TYPE.get(extension.lower(), "application/octet-stream")
diff --git a/src/backend/langflow/services/task/__init__.py b/src/backend/base/langflow/services/store/__init__.py
similarity index 100%
rename from src/backend/langflow/services/task/__init__.py
rename to src/backend/base/langflow/services/store/__init__.py
diff --git a/src/backend/langflow/services/store/exceptions.py b/src/backend/base/langflow/services/store/exceptions.py
similarity index 100%
rename from src/backend/langflow/services/store/exceptions.py
rename to src/backend/base/langflow/services/store/exceptions.py
diff --git a/src/backend/base/langflow/services/store/factory.py b/src/backend/base/langflow/services/store/factory.py
new file mode 100644
index 00000000000..2bdc918bde8
--- /dev/null
+++ b/src/backend/base/langflow/services/store/factory.py
@@ -0,0 +1,15 @@
+from typing import TYPE_CHECKING
+
+from langflow.services.factory import ServiceFactory
+from langflow.services.store.service import StoreService
+
+if TYPE_CHECKING:
+    from langflow.services.settings.service import SettingsService
+
+
+class StoreServiceFactory(ServiceFactory):
+    def __init__(self):
+        super().__init__(StoreService)
+
+    def create(self, settings_service: "SettingsService"):
+        return StoreService(settings_service)
diff --git a/src/backend/base/langflow/services/store/schema.py b/src/backend/base/langflow/services/store/schema.py
new file mode 100644
index 00000000000..0c37e1166fb
--- /dev/null
+++ b/src/backend/base/langflow/services/store/schema.py
@@ -0,0 +1,76 @@
+from typing import List, Optional
+from uuid import UUID
+
+from pydantic import BaseModel, field_validator
+
+
+class TagResponse(BaseModel):
+    id: UUID
+    name: Optional[str]
+
+
+class UsersLikesResponse(BaseModel):
+    likes_count: Optional[int]
+    liked_by_user: Optional[bool]
+
+
+class CreateComponentResponse(BaseModel):
+    id: UUID
+
+
+class TagsIdResponse(BaseModel):
+    tags_id: Optional[TagResponse]
+
+
+class ListComponentResponse(BaseModel):
+    id: Optional[UUID] = None
+    name: Optional[str] = None
+    description: Optional[str] = None
+    liked_by_count: Optional[int] = None
+    liked_by_user: Optional[bool] = None
+    is_component: Optional[bool] = None
+    metadata: Optional[dict] = {}
+    user_created: Optional[dict] = {}
+    tags: Optional[List[TagResponse]] = None
+    downloads_count: Optional[int] = None
+    last_tested_version: Optional[str] = None
+    private: Optional[bool] = None
+
+    # tags comes as a TagsIdResponse but we want to return a list of TagResponse
+    @field_validator("tags", mode="before")
+    @classmethod
+    def tags_to_list(cls, v):
+        # Check if all values are have id and name
+        # if so, return v else transform to TagResponse
+        if not v:
+            return v
+        if all(["id" in tag and "name" in tag for tag in v]):
+            return v
+        else:
+            return [TagResponse(**tag.get("tags_id")) for tag in v if tag.get("tags_id")]
+
+
+class ListComponentResponseModel(BaseModel):
+    count: Optional[int] = 0
+    authorized: bool
+    results: Optional[List[ListComponentResponse]]
+
+
+class DownloadComponentResponse(BaseModel):
+    id: UUID
+    name: Optional[str]
+    description: Optional[str]
+    data: Optional[dict]
+    is_component: Optional[bool]
+    metadata: Optional[dict] = {}
+
+
+class StoreComponentCreate(BaseModel):
+    name: str
+    description: Optional[str]
+    data: dict
+    tags: Optional[List[str]]
+    parent: Optional[UUID] = None
+    is_component: Optional[bool]
+    last_tested_version: Optional[str] = None
+    private: Optional[bool] = True
diff --git a/src/backend/base/langflow/services/store/service.py b/src/backend/base/langflow/services/store/service.py
new file mode 100644
index 00000000000..a1b221b6396
--- /dev/null
+++ b/src/backend/base/langflow/services/store/service.py
@@ -0,0 +1,568 @@
+import json
+from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple
+from uuid import UUID
+
+import httpx
+from httpx import HTTPError, HTTPStatusError
+from loguru import logger
+
+from langflow.services.base import Service
+from langflow.services.store.exceptions import APIKeyError, FilterError, ForbiddenError
+from langflow.services.store.schema import (
+    CreateComponentResponse,
+    DownloadComponentResponse,
+    ListComponentResponse,
+    ListComponentResponseModel,
+    StoreComponentCreate,
+)
+from langflow.services.store.utils import (
+    process_component_data,
+    process_tags_for_post,
+    update_components_with_user_data,
+)
+
+if TYPE_CHECKING:
+    from langflow.services.settings.service import SettingsService
+
+from contextlib import asynccontextmanager
+from contextvars import ContextVar
+
+user_data_var: ContextVar[Optional[Dict[str, Any]]] = ContextVar("user_data", default=None)
+
+
+@asynccontextmanager
+async def user_data_context(store_service: "StoreService", api_key: Optional[str] = None):
+    # Fetch and set user data to the context variable
+    if api_key:
+        try:
+            user_data, _ = await store_service._get(
+                f"{store_service.base_url}/users/me", api_key, params={"fields": "id"}
+            )
+            user_data_var.set(user_data[0])
+        except HTTPStatusError as exc:
+            if exc.response.status_code == 403:
+                raise ValueError("Invalid API key")
+    try:
+        yield
+    finally:
+        # Clear the user data from the context variable
+        user_data_var.set(None)
+
+
+def get_id_from_search_string(search_string: str) -> Optional[str]:
+    """
+    Extracts the ID from a search string.
+
+    Args:
+        search_string (str): The search string to extract the ID from.
+
+    Returns:
+        Optional[str]: The extracted ID, or None if no ID is found.
+    """
+    possible_id: Optional[str] = search_string
+    if "www.langflow.store/store/" in search_string:
+        possible_id = search_string.split("/")[-1]
+
+    try:
+        possible_id = str(UUID(search_string))
+    except ValueError:
+        possible_id = None
+    return possible_id
+
+
+class StoreService(Service):
+    """This is a service that integrates langflow with the store which
+    is a Directus instance. It allows to search, get and post components to
+    the store."""
+
+    name = "store_service"
+
+    def __init__(self, settings_service: "SettingsService"):
+        self.settings_service = settings_service
+        self.base_url = self.settings_service.settings.store_url
+        self.download_webhook_url = self.settings_service.settings.download_webhook_url
+        self.like_webhook_url = self.settings_service.settings.like_webhook_url
+        self.components_url = f"{self.base_url}/items/components"
+        self.default_fields = [
+            "id",
+            "name",
+            "description",
+            "user_created.username",
+            "is_component",
+            "tags.tags_id.name",
+            "tags.tags_id.id",
+            "count(liked_by)",
+            "count(downloads)",
+            "metadata",
+            "last_tested_version",
+            "private",
+        ]
+
+    # Create a context manager that will use the api key to
+    # get the user data and all requests inside the context manager
+    # will make a property return that data
+    # Without making the request multiple times
+
+    async def check_api_key(self, api_key: str):
+        # Check if the api key is valid
+        # If it is, return True
+        # If it is not, return False
+        try:
+            user_data, _ = await self._get(f"{self.base_url}/users/me", api_key, params={"fields": "id"})
+
+            return "id" in user_data[0]
+        except HTTPStatusError as exc:
+            if exc.response.status_code in [403, 401]:
+                return False
+            else:
+                raise ValueError(f"Unexpected status code: {exc.response.status_code}")
+        except Exception as exc:
+            raise ValueError(f"Unexpected error: {exc}")
+
+    async def _get(
+        self, url: str, api_key: Optional[str] = None, params: Optional[Dict[str, Any]] = None
+    ) -> Tuple[List[Dict[str, Any]], Dict[str, Any]]:
+        """Utility method to perform GET requests."""
+        if api_key:
+            headers = {"Authorization": f"Bearer {api_key}"}
+        else:
+            headers = {}
+        async with httpx.AsyncClient() as client:
+            try:
+                response = await client.get(url, headers=headers, params=params)
+                response.raise_for_status()
+            except HTTPError as exc:
+                raise exc
+            except Exception as exc:
+                raise ValueError(f"GET failed: {exc}")
+        json_response = response.json()
+        result = json_response["data"]
+        metadata = {}
+        if "meta" in json_response:
+            metadata = json_response["meta"]
+
+        if isinstance(result, dict):
+            return [result], metadata
+        return result, metadata
+
+    async def call_webhook(self, api_key: str, webhook_url: str, component_id: UUID) -> None:
+        # The webhook is a POST request with the data in the body
+        # For now we are calling it just for testing
+        try:
+            headers = {"Authorization": f"Bearer {api_key}"}
+            async with httpx.AsyncClient() as client:
+                response = await client.post(webhook_url, headers=headers, json={"component_id": str(component_id)})
+                response.raise_for_status()
+            return response.json()
+        except HTTPError as exc:
+            raise exc
+        except Exception as exc:
+            logger.debug(f"Webhook failed: {exc}")
+
+    def build_tags_filter(self, tags: List[str]):
+        tags_filter: Dict[str, Any] = {"tags": {"_and": []}}
+        for tag in tags:
+            tags_filter["tags"]["_and"].append({"_some": {"tags_id": {"name": {"_eq": tag}}}})
+        return tags_filter
+
+    async def count_components(
+        self,
+        filter_conditions: List[Dict[str, Any]],
+        api_key: Optional[str] = None,
+        use_api_key: Optional[bool] = False,
+    ) -> int:
+        params = {"aggregate": json.dumps({"count": "*"})}
+        if filter_conditions:
+            params["filter"] = json.dumps({"_and": filter_conditions})
+
+        api_key = api_key if use_api_key else None
+
+        results, _ = await self._get(self.components_url, api_key, params)
+        return int(results[0].get("count", 0))
+
+    @staticmethod
+    def build_search_filter_conditions(query: str):
+        # instead of build the param ?search=query, we will build the filter
+        # that will use _icontains (case insensitive)
+        conditions: Dict[str, Any] = {"_or": []}
+        conditions["_or"].append({"name": {"_icontains": query}})
+        conditions["_or"].append({"description": {"_icontains": query}})
+        conditions["_or"].append({"tags": {"tags_id": {"name": {"_icontains": query}}}})
+        conditions["_or"].append({"user_created": {"username": {"_icontains": query}}})
+        return conditions
+
+    def build_filter_conditions(
+        self,
+        component_id: Optional[str] = None,
+        search: Optional[str] = None,
+        private: Optional[bool] = None,
+        tags: Optional[List[str]] = None,
+        is_component: Optional[bool] = None,
+        filter_by_user: Optional[bool] = False,
+        liked: Optional[bool] = False,
+        store_api_key: Optional[str] = None,
+    ):
+        filter_conditions = []
+
+        if component_id is None:
+            component_id = get_id_from_search_string(search) if search else None
+
+        if search is not None and component_id is None:
+            search_conditions = self.build_search_filter_conditions(search)
+            filter_conditions.append(search_conditions)
+
+        if private is not None:
+            filter_conditions.append({"private": {"_eq": private}})
+
+        if tags:
+            tags_filter = self.build_tags_filter(tags)
+            filter_conditions.append(tags_filter)
+        if component_id is not None:
+            filter_conditions.append({"id": {"_eq": component_id}})
+        if is_component is not None:
+            filter_conditions.append({"is_component": {"_eq": is_component}})
+        if liked and store_api_key:
+            liked_filter = self.build_liked_filter()
+            filter_conditions.append(liked_filter)
+        elif liked and not store_api_key:
+            raise APIKeyError("You must provide an API key to filter by likes")
+
+        if filter_by_user and store_api_key:
+            user_data = user_data_var.get()
+            if not user_data:
+                raise ValueError("No user data")
+            filter_conditions.append({"user_created": {"_eq": user_data["id"]}})
+        elif filter_by_user and not store_api_key:
+            raise APIKeyError("You must provide an API key to filter your components")
+        else:
+            filter_conditions.append({"private": {"_eq": False}})
+
+        return filter_conditions
+
+    def build_liked_filter(self):
+        user_data = user_data_var.get()
+        # params["filter"] = json.dumps({"user_created": {"_eq": user_data["id"]}})
+        if not user_data:
+            raise ValueError("No user data")
+        return {"liked_by": {"directus_users_id": {"_eq": user_data["id"]}}}
+
+    async def query_components(
+        self,
+        api_key: Optional[str] = None,
+        sort: Optional[List[str]] = None,
+        page: int = 1,
+        limit: int = 15,
+        fields: Optional[List[str]] = None,
+        filter_conditions: Optional[List[Dict[str, Any]]] = None,
+        use_api_key: Optional[bool] = False,
+    ) -> Tuple[List[ListComponentResponse], Dict[str, Any]]:
+        params: Dict[str, Any] = {
+            "page": page,
+            "limit": limit,
+            "fields": ",".join(fields) if fields is not None else ",".join(self.default_fields),
+            "meta": "filter_count",  # !This is DEPRECATED so we should remove it ASAP
+        }
+        # ?aggregate[count]=likes
+
+        if sort:
+            params["sort"] = ",".join(sort)
+
+        # Only public components or the ones created by the user
+        # check for "public" or "Public"
+
+        if filter_conditions:
+            params["filter"] = json.dumps({"_and": filter_conditions})
+
+        # If not liked, this means we are getting public components
+        # so we don't need to risk passing an invalid api_key
+        # and getting 401
+        api_key = api_key if use_api_key else None
+        results, metadata = await self._get(self.components_url, api_key, params)
+        if isinstance(results, dict):
+            results = [results]
+
+        results_objects = [ListComponentResponse(**result) for result in results]
+
+        return results_objects, metadata
+
+    async def get_liked_by_user_components(self, component_ids: List[str], api_key: str) -> List[str]:
+        # Get fields id
+        # filter should be "id is in component_ids AND liked_by directus_users_id token is api_key"
+        # return the ids
+        user_data = user_data_var.get()
+        if not user_data:
+            raise ValueError("No user data")
+        params = {
+            "fields": "id",
+            "filter": json.dumps(
+                {
+                    "_and": [
+                        {"id": {"_in": component_ids}},
+                        {"liked_by": {"directus_users_id": {"_eq": user_data["id"]}}},
+                    ]
+                }
+            ),
+        }
+        results, _ = await self._get(self.components_url, api_key, params)
+        return [result["id"] for result in results]
+
+    # Which of the components is parent of the user's components
+    async def get_components_in_users_collection(self, component_ids: List[str], api_key: str):
+        user_data = user_data_var.get()
+        if not user_data:
+            raise ValueError("No user data")
+        params = {
+            "fields": "id",
+            "filter": json.dumps(
+                {
+                    "_and": [
+                        {"user_created": {"_eq": user_data["id"]}},
+                        {"parent": {"_in": component_ids}},
+                    ]
+                }
+            ),
+        }
+        results, _ = await self._get(self.components_url, api_key, params)
+        return [result["id"] for result in results]
+
+    async def download(self, api_key: str, component_id: UUID) -> DownloadComponentResponse:
+        url = f"{self.components_url}/{component_id}"
+        params = {"fields": ",".join(["id", "name", "description", "data", "is_component", "metadata"])}
+        if not self.download_webhook_url:
+            raise ValueError("DOWNLOAD_WEBHOOK_URL is not set")
+        component, _ = await self._get(url, api_key, params)
+        await self.call_webhook(api_key, self.download_webhook_url, component_id)
+        if len(component) > 1:
+            raise ValueError("Something went wrong while downloading the component")
+        component_dict = component[0]
+
+        download_component = DownloadComponentResponse(**component_dict)
+        # Check if metadata is an empty dict
+        if download_component.metadata in [None, {}] and download_component.data is not None:
+            # If it is, we need to build the metadata
+            try:
+                download_component.metadata = process_component_data(download_component.data.get("nodes", []))
+            except KeyError:
+                raise ValueError("Invalid component data. No nodes found")
+        return download_component
+
+    async def upload(self, api_key: str, component_data: StoreComponentCreate) -> CreateComponentResponse:
+        headers = {"Authorization": f"Bearer {api_key}"}
+        component_dict = component_data.model_dump(exclude_unset=True)
+        # Parent is a UUID, but the store expects a string
+        response = None
+        if component_dict.get("parent"):
+            component_dict["parent"] = str(component_dict["parent"])
+
+        component_dict = process_tags_for_post(component_dict)
+        try:
+            # response = httpx.post(self.components_url, headers=headers, json=component_dict)
+            # response.raise_for_status()
+            async with httpx.AsyncClient() as client:
+                response = await client.post(self.components_url, headers=headers, json=component_dict)
+                response.raise_for_status()
+            component = response.json()["data"]
+            return CreateComponentResponse(**component)
+        except HTTPError as exc:
+            if response:
+                try:
+                    errors = response.json()
+                    message = errors["errors"][0]["message"]
+                    if message == "An unexpected error occurred.":
+                        # This is a bug in Directus that returns this error
+                        # when an error was thrown in the flow
+                        message = "You already have a component with this name. Please choose a different name."
+                    raise FilterError(message)
+                except UnboundLocalError:
+                    pass
+            raise ValueError(f"Upload failed: {exc}")
+
+    async def update(
+        self, api_key: str, component_id: UUID, component_data: StoreComponentCreate
+    ) -> CreateComponentResponse:
+        # Patch is the same as post, but we need to add the id to the url
+        headers = {"Authorization": f"Bearer {api_key}"}
+        component_dict = component_data.model_dump(exclude_unset=True)
+        # Parent is a UUID, but the store expects a string
+        response = None
+        if component_dict.get("parent"):
+            component_dict["parent"] = str(component_dict["parent"])
+
+        component_dict = process_tags_for_post(component_dict)
+        try:
+            # response = httpx.post(self.components_url, headers=headers, json=component_dict)
+            # response.raise_for_status()
+            async with httpx.AsyncClient() as client:
+                response = await client.patch(
+                    self.components_url + f"/{component_id}", headers=headers, json=component_dict
+                )
+                response.raise_for_status()
+            component = response.json()["data"]
+            return CreateComponentResponse(**component)
+        except HTTPError as exc:
+            if response:
+                try:
+                    errors = response.json()
+                    message = errors["errors"][0]["message"]
+                    if message == "An unexpected error occurred.":
+                        # This is a bug in Directus that returns this error
+                        # when an error was thrown in the flow
+                        message = "You already have a component with this name. Please choose a different name."
+                    raise FilterError(message)
+                except UnboundLocalError:
+                    pass
+            raise ValueError(f"Upload failed: {exc}")
+
+    async def get_tags(self) -> List[Dict[str, Any]]:
+        url = f"{self.base_url}/items/tags"
+        params = {"fields": ",".join(["id", "name"])}
+        tags, _ = await self._get(url, api_key=None, params=params)
+        return tags
+
+    async def get_user_likes(self, api_key: str) -> List[Dict[str, Any]]:
+        url = f"{self.base_url}/users/me"
+        params = {
+            "fields": ",".join(["id", "likes"]),
+        }
+        likes, _ = await self._get(url, api_key, params)
+        return likes
+
+    async def get_component_likes_count(self, component_id: str, api_key: Optional[str] = None) -> int:
+        url = f"{self.components_url}/{component_id}"
+
+        params = {
+            "fields": ",".join(["id", "count(liked_by)"]),
+        }
+        result, _ = await self._get(url, api_key=api_key, params=params)
+        if len(result) == 0:
+            raise ValueError("Component not found")
+        likes = result[0]["liked_by_count"]
+        # likes_by_count is a string
+        # try to convert it to int
+        try:
+            likes = int(likes)
+        except ValueError:
+            raise ValueError(f"Unexpected value for likes count: {likes}")
+        return likes
+
+    async def like_component(self, api_key: str, component_id: str) -> bool:
+        # if it returns a list with one id, it means the like was successful
+        # if it returns an int, it means the like was removed
+        if not self.like_webhook_url:
+            raise ValueError("LIKE_WEBHOOK_URL is not set")
+        headers = {"Authorization": f"Bearer {api_key}"}
+        # response = httpx.post(
+        #     self.like_webhook_url,
+        #     json={"component_id": str(component_id)},
+        #     headers=headers,
+        # )
+
+        # response.raise_for_status()
+        async with httpx.AsyncClient() as client:
+            response = await client.post(
+                self.like_webhook_url,
+                json={"component_id": str(component_id)},
+                headers=headers,
+            )
+            response.raise_for_status()
+        if response.status_code == 200:
+            result = response.json()
+
+            if isinstance(result, list):
+                return True
+            elif isinstance(result, int):
+                return False
+            else:
+                raise ValueError(f"Unexpected result: {result}")
+        else:
+            raise ValueError(f"Unexpected status code: {response.status_code}")
+
+    async def get_list_component_response_model(
+        self,
+        component_id: Optional[str] = None,
+        search: Optional[str] = None,
+        private: Optional[bool] = None,
+        tags: Optional[List[str]] = None,
+        is_component: Optional[bool] = None,
+        fields: Optional[List[str]] = None,
+        filter_by_user: bool = False,
+        liked: bool = False,
+        store_api_key: Optional[str] = None,
+        sort: Optional[List[str]] = None,
+        page: int = 1,
+        limit: int = 15,
+    ):
+        async with user_data_context(api_key=store_api_key, store_service=self):
+            filter_conditions: List[Dict[str, Any]] = self.build_filter_conditions(
+                component_id=component_id,
+                search=search,
+                private=private,
+                tags=tags,
+                is_component=is_component,
+                filter_by_user=filter_by_user,
+                liked=liked,
+                store_api_key=store_api_key,
+            )
+
+            result: List[ListComponentResponse] = []
+            authorized = False
+            metadata: Dict = {}
+            comp_count = 0
+            try:
+                result, metadata = await self.query_components(
+                    api_key=store_api_key,
+                    page=page,
+                    limit=limit,
+                    sort=sort,
+                    fields=fields,
+                    filter_conditions=filter_conditions,
+                    use_api_key=liked or filter_by_user,
+                )
+                if metadata:
+                    comp_count = metadata.get("filter_count", 0)
+            except HTTPStatusError as exc:
+                if exc.response.status_code == 403:
+                    raise ForbiddenError("You are not authorized to access this public resource") from exc
+                elif exc.response.status_code == 401:
+                    raise APIKeyError(
+                        "You are not authorized to access this resource. Please check your API key."
+                    ) from exc
+            except Exception as exc:
+                raise ValueError(f"Unexpected error: {exc}") from exc
+            try:
+                if result and not metadata:
+                    if len(result) >= limit:
+                        comp_count = await self.count_components(
+                            api_key=store_api_key,
+                            filter_conditions=filter_conditions,
+                            use_api_key=liked or filter_by_user,
+                        )
+                    else:
+                        comp_count = len(result)
+                elif not metadata:
+                    comp_count = 0
+            except HTTPStatusError as exc:
+                if exc.response.status_code == 403:
+                    raise ForbiddenError("You are not authorized to access this public resource")
+                elif exc.response.status_code == 401:
+                    raise APIKeyError("You are not authorized to access this resource. Please check your API key.")
+
+            if store_api_key:
+                # Now, from the result, we need to get the components
+                # the user likes and set the liked_by_user to True
+                # if any of the components does not have an id, it means
+                # we should not update the components
+
+                if not result or any(component.id is None for component in result):
+                    authorized = await self.check_api_key(store_api_key)
+                else:
+                    try:
+                        updated_result = await update_components_with_user_data(
+                            result, self, store_api_key, liked=liked
+                        )
+                        authorized = True
+                        result = updated_result
+                    except Exception:
+                        # If we get an error here, it means the user is not authorized
+                        authorized = False
+        return ListComponentResponseModel(results=result, authorized=authorized, count=comp_count)
diff --git a/src/backend/langflow/services/store/utils.py b/src/backend/base/langflow/services/store/utils.py
similarity index 100%
rename from src/backend/langflow/services/store/utils.py
rename to src/backend/base/langflow/services/store/utils.py
diff --git a/src/backend/langflow/services/task/backends/__init__.py b/src/backend/base/langflow/services/task/__init__.py
similarity index 100%
rename from src/backend/langflow/services/task/backends/__init__.py
rename to src/backend/base/langflow/services/task/__init__.py
diff --git a/src/backend/langflow/template/__init__.py b/src/backend/base/langflow/services/task/backends/__init__.py
similarity index 100%
rename from src/backend/langflow/template/__init__.py
rename to src/backend/base/langflow/services/task/backends/__init__.py
diff --git a/src/backend/langflow/services/task/backends/anyio.py b/src/backend/base/langflow/services/task/backends/anyio.py
similarity index 100%
rename from src/backend/langflow/services/task/backends/anyio.py
rename to src/backend/base/langflow/services/task/backends/anyio.py
diff --git a/src/backend/base/langflow/services/task/backends/base.py b/src/backend/base/langflow/services/task/backends/base.py
new file mode 100644
index 00000000000..93fbfd858d4
--- /dev/null
+++ b/src/backend/base/langflow/services/task/backends/base.py
@@ -0,0 +1,14 @@
+from abc import ABC, abstractmethod
+from typing import Any, Callable
+
+
+class TaskBackend(ABC):
+    name: str
+
+    @abstractmethod
+    def launch_task(self, task_func: Callable[..., Any], *args: Any, **kwargs: Any):
+        pass
+
+    @abstractmethod
+    def get_task(self, task_id: str) -> Any:
+        pass
diff --git a/src/backend/langflow/services/task/backends/celery.py b/src/backend/base/langflow/services/task/backends/celery.py
similarity index 99%
rename from src/backend/langflow/services/task/backends/celery.py
rename to src/backend/base/langflow/services/task/backends/celery.py
index f2337454966..cfb17ae3b70 100644
--- a/src/backend/langflow/services/task/backends/celery.py
+++ b/src/backend/base/langflow/services/task/backends/celery.py
@@ -1,5 +1,8 @@
 from typing import Any, Callable
+
 from celery.result import AsyncResult  # type: ignore
+
+
 from langflow.services.task.backends.base import TaskBackend
 from langflow.worker import celery_app
 
diff --git a/src/backend/base/langflow/services/task/factory.py b/src/backend/base/langflow/services/task/factory.py
new file mode 100644
index 00000000000..937f390ae07
--- /dev/null
+++ b/src/backend/base/langflow/services/task/factory.py
@@ -0,0 +1,11 @@
+from langflow.services.factory import ServiceFactory
+from langflow.services.task.service import TaskService
+
+
+class TaskServiceFactory(ServiceFactory):
+    def __init__(self):
+        super().__init__(TaskService)
+
+    def create(self):
+        # Here you would have logic to create and configure a TaskService
+        return TaskService()
diff --git a/src/backend/base/langflow/services/task/service.py b/src/backend/base/langflow/services/task/service.py
new file mode 100644
index 00000000000..cca1645b84c
--- /dev/null
+++ b/src/backend/base/langflow/services/task/service.py
@@ -0,0 +1,84 @@
+from typing import TYPE_CHECKING, Any, Callable, Coroutine
+
+from loguru import logger
+
+from langflow.services.base import Service
+from langflow.services.task.backends.anyio import AnyIOBackend
+from langflow.services.task.backends.base import TaskBackend
+from langflow.services.task.utils import get_celery_worker_status
+
+if TYPE_CHECKING:
+    from langflow.services.settings.service import SettingsService
+
+
+def check_celery_availability():
+    try:
+        from langflow.worker import celery_app
+
+        status = get_celery_worker_status(celery_app)
+        logger.debug(f"Celery status: {status}")
+    except Exception as exc:
+        logger.debug(f"Celery not available: {exc}")
+        status = {"availability": None}
+    return status
+
+
+class TaskService(Service):
+    name = "task_service"
+
+    def __init__(self, settings_service: "SettingsService"):
+        self.settings_service = settings_service
+        try:
+            if self.settings_service.settings.celery_enabled:
+                USE_CELERY = True
+                status = check_celery_availability()
+
+                USE_CELERY = status.get("availability") is not None
+            else:
+                USE_CELERY = False
+        except ImportError:
+            USE_CELERY = False
+
+        self.use_celery = USE_CELERY
+        self.backend = self.get_backend()
+
+    @property
+    def backend_name(self) -> str:
+        return self.backend.name
+
+    def get_backend(self) -> TaskBackend:
+        if self.use_celery:
+            from langflow.services.task.backends.celery import CeleryBackend
+
+            logger.debug("Using Celery backend")
+            return CeleryBackend()
+        logger.debug("Using AnyIO backend")
+        return AnyIOBackend()
+
+    # In your TaskService class
+    async def launch_and_await_task(
+        self,
+        task_func: Callable[..., Any],
+        *args: Any,
+        **kwargs: Any,
+    ) -> Any:
+        if not self.use_celery:
+            return None, await task_func(*args, **kwargs)
+        if not hasattr(task_func, "apply"):
+            raise ValueError(f"Task function {task_func} does not have an apply method")
+        task = task_func.apply(args=args, kwargs=kwargs)
+
+        result = task.get()
+        # if result is coroutine
+        if isinstance(result, Coroutine):
+            result = await result
+        return task.id, result
+
+    async def launch_task(self, task_func: Callable[..., Any], *args: Any, **kwargs: Any) -> Any:
+        logger.debug(f"Launching task {task_func} with args {args} and kwargs {kwargs}")
+        logger.debug(f"Using backend {self.backend}")
+        task = self.backend.launch_task(task_func, *args, **kwargs)
+        return await task if isinstance(task, Coroutine) else task
+
+    def get_task(self, task_id: str) -> Any:
+        return self.backend.get_task(task_id)
diff --git a/src/backend/langflow/services/task/utils.py b/src/backend/base/langflow/services/task/utils.py
similarity index 100%
rename from src/backend/langflow/services/task/utils.py
rename to src/backend/base/langflow/services/task/utils.py
diff --git a/src/backend/langflow/template/field/__init__.py b/src/backend/base/langflow/services/telemetry/__init__.py
similarity index 100%
rename from src/backend/langflow/template/field/__init__.py
rename to src/backend/base/langflow/services/telemetry/__init__.py
diff --git a/src/backend/base/langflow/services/telemetry/factory.py b/src/backend/base/langflow/services/telemetry/factory.py
new file mode 100644
index 00000000000..86f04811218
--- /dev/null
+++ b/src/backend/base/langflow/services/telemetry/factory.py
@@ -0,0 +1,15 @@
+from typing import TYPE_CHECKING
+
+from langflow.services.factory import ServiceFactory
+from langflow.services.telemetry.service import TelemetryService
+
+if TYPE_CHECKING:
+    from langflow.services.settings.service import SettingsService
+
+
+class TelemetryServiceFactory(ServiceFactory):
+    def __init__(self):
+        super().__init__(TelemetryService)
+
+    def create(self, settings_service: "SettingsService"):
+        return TelemetryService(settings_service)
diff --git a/src/backend/base/langflow/services/telemetry/schema.py b/src/backend/base/langflow/services/telemetry/schema.py
new file mode 100644
index 00000000000..bba7a23e445
--- /dev/null
+++ b/src/backend/base/langflow/services/telemetry/schema.py
@@ -0,0 +1,36 @@
+from pydantic import BaseModel
+
+
+class RunPayload(BaseModel):
+    IsWebhook: bool = False
+    seconds: int
+    success: bool
+    errorMessage: str = ""
+
+
+class ShutdownPayload(BaseModel):
+    timeRunning: int
+
+
+class VersionPayload(BaseModel):
+    version: str
+    platform: str
+    python: str
+    arch: str
+    autoLogin: bool
+    cacheType: str
+    backendOnly: bool
+
+
+class PlaygroundPayload(BaseModel):
+    seconds: int
+    componentCount: int | None = None
+    success: bool
+    errorMessage: str = ""
+
+
+class ComponentPayload(BaseModel):
+    name: str
+    seconds: int
+    success: bool
+    errorMessage: str
diff --git a/src/backend/base/langflow/services/telemetry/service.py b/src/backend/base/langflow/services/telemetry/service.py
new file mode 100644
index 00000000000..76e82835c38
--- /dev/null
+++ b/src/backend/base/langflow/services/telemetry/service.py
@@ -0,0 +1,126 @@
+import asyncio
+import os
+import platform
+from datetime import datetime, timezone
+from typing import TYPE_CHECKING
+
+import httpx
+from loguru import logger
+from pydantic import BaseModel
+
+from langflow.services.base import Service
+from langflow.services.telemetry.schema import (
+    ComponentPayload,
+    PlaygroundPayload,
+    RunPayload,
+    ShutdownPayload,
+    VersionPayload,
+)
+from langflow.utils.version import get_version_info
+
+if TYPE_CHECKING:
+    from langflow.services.settings.service import SettingsService
+
+
+class TelemetryService(Service):
+    name = "telemetry_service"
+
+    def __init__(self, settings_service: "SettingsService"):
+        super().__init__()
+        self.settings_service = settings_service
+        self.base_url = settings_service.settings.telemetry_base_url
+        self.telemetry_queue: asyncio.Queue = asyncio.Queue()
+        self.client = httpx.AsyncClient(timeout=None)
+        self.running = False
+        self.package = get_version_info()["package"]
+
+        # Check for do-not-track settings
+        self.do_not_track = (
+            os.getenv("DO_NOT_TRACK", "False").lower() == "true" or settings_service.settings.do_not_track
+        )
+
+    async def telemetry_worker(self):
+        while self.running:
+            func, payload, path = await self.telemetry_queue.get()
+            try:
+                await func(payload, path)
+            except Exception as e:
+                logger.error(f"Error sending telemetry data: {e}")
+            finally:
+                self.telemetry_queue.task_done()
+
+    async def send_telemetry_data(self, payload: BaseModel, path: str | None = None):
+        if self.do_not_track:
+            logger.debug("Telemetry tracking is disabled.")
+            return
+
+        url = f"{self.base_url}/{self.package.lower()}"
+        if path:
+            url = f"{url}/{path}"
+        try:
+            response = await self.client.get(url, params=payload.model_dump())
+            if response.status_code != 200:
+                logger.error(f"Failed to send telemetry data: {response.status_code} {response.text}")
+            else:
+                logger.debug("Telemetry data sent successfully.")
+        except Exception as e:
+            logger.error(f"Failed to send telemetry data due to: {e}")
+
+    async def log_package_run(self, payload: RunPayload):
+        await self.telemetry_queue.put((self.send_telemetry_data, payload, "run"))
+
+    async def log_package_shutdown(self):
+        payload = ShutdownPayload(timeRunning=(datetime.now(timezone.utc) - self._start_time).seconds)
+        await self.telemetry_queue.put((self.send_telemetry_data, payload, "shutdown"))
+
+    async def log_package_version(self):
+        python_version = ".".join(platform.python_version().split(".")[:2])
+        version_info = get_version_info()
+        architecture = platform.architecture()[0]
+        payload = VersionPayload(
+            version=version_info["version"],
+            platform=platform.platform(),
+            python=python_version,
+            cacheType=self.settings_service.settings.cache_type,
+            backendOnly=self.settings_service.settings.backend_only,
+            arch=architecture,
+            autoLogin=self.settings_service.auth_settings.AUTO_LOGIN,
+        )
+        await self.telemetry_queue.put((self.send_telemetry_data, payload, None))
+
+    async def log_package_playground(self, payload: PlaygroundPayload):
+        await self.telemetry_queue.put((self.send_telemetry_data, payload, "playground"))
+
+    async def log_package_component(self, payload: ComponentPayload):
+        await self.telemetry_queue.put((self.send_telemetry_data, payload, "component"))
+
+    async def start(self):
+        if self.running or self.do_not_track:
+            return
+        try:
+            self.running = True
+            self._start_time = datetime.now(timezone.utc)
+            self.worker_task = asyncio.create_task(self.telemetry_worker())
+            asyncio.create_task(self.log_package_version())
+        except Exception as e:
+            logger.error(f"Error starting telemetry service: {e}")
+
+    async def flush(self):
+        if self.do_not_track:
+            return
+        try:
+            await self.telemetry_queue.join()
+        except Exception as e:
+            logger.error(f"Error flushing logs: {e}")
+
+    async def stop(self):
+        if self.do_not_track:
+            return
+        try:
+            self.running = False
+            await self.flush()
+            self.worker_task.cancel()
+            if self.worker_task:
+                await self.worker_task
+        except Exception as e:
+            logger.error(f"Error stopping tracing service: {e}")
diff --git a/src/backend/langflow/template/frontend_node/formatter/__init__.py b/src/backend/base/langflow/services/tracing/__init__.py
similarity index 100%
rename from src/backend/langflow/template/frontend_node/formatter/__init__.py
rename to src/backend/base/langflow/services/tracing/__init__.py
diff --git a/src/backend/base/langflow/services/tracing/factory.py b/src/backend/base/langflow/services/tracing/factory.py
new file mode 100644
index 00000000000..01a561d6ab5
--- /dev/null
+++ b/src/backend/base/langflow/services/tracing/factory.py
@@ -0,0 +1,16 @@
+from typing import TYPE_CHECKING
+
+from langflow.services.factory import ServiceFactory
+from langflow.services.tracing.service import TracingService
+
+if TYPE_CHECKING:
+    from langflow.services.settings.service import SettingsService
+    from langflow.services.monitor.service import MonitorService
+
+
+class TracingServiceFactory(ServiceFactory):
+    def __init__(self):
+        super().__init__(TracingService)
+
+    def create(self, settings_service: "SettingsService", monitor_service: "MonitorService"):
+        return TracingService(settings_service, monitor_service)
diff --git a/src/backend/base/langflow/services/tracing/schema.py b/src/backend/base/langflow/services/tracing/schema.py
new file mode 100644
index 00000000000..7519c974f47
--- /dev/null
+++ b/src/backend/base/langflow/services/tracing/schema.py
@@ -0,0 +1,9 @@
+from typing_extensions import TypedDict
+
+from langflow.schema.log import LoggableType
+
+
+class Log(TypedDict):
+    name: str
+    message: LoggableType
+    type: str
diff --git a/src/backend/base/langflow/services/tracing/service.py b/src/backend/base/langflow/services/tracing/service.py
new file mode 100644
index 00000000000..95795c98882
--- /dev/null
+++ b/src/backend/base/langflow/services/tracing/service.py
@@ -0,0 +1,301 @@
+import asyncio
+import os
+import traceback
+from collections import defaultdict
+from contextlib import asynccontextmanager
+from datetime import datetime, timezone
+from typing import TYPE_CHECKING, Any, Dict, Optional
+from uuid import UUID
+
+from langchain.callbacks.tracers.langchain import wait_for_all_tracers
+from loguru import logger
+
+from langflow.schema.data import Data
+from langflow.services.base import Service
+from langflow.services.tracing.schema import Log
+
+if TYPE_CHECKING:
+    from langflow.services.monitor.service import MonitorService
+    from langflow.services.settings.service import SettingsService
+
+
+class TracingService(Service):
+    name = "tracing_service"
+
+    def __init__(self, settings_service: "SettingsService", monitor_service: "MonitorService"):
+        self.settings_service = settings_service
+        self.monitor_service = monitor_service
+        self.inputs: dict[str, dict] = defaultdict(dict)
+        self.inputs_metadata: dict[str, dict] = defaultdict(dict)
+        self.outputs: dict[str, dict] = defaultdict(dict)
+        self.outputs_metadata: dict[str, dict] = defaultdict(dict)
+        self.run_name: str | None = None
+        self.run_id: UUID | None = None
+        self.project_name = None
+        self._tracers: dict[str, LangSmithTracer] = {}
+        self.logs_queue: asyncio.Queue = asyncio.Queue()
+        self.running = False
+        self.worker_task = None
+
+    async def log_worker(self):
+        while self.running or not self.logs_queue.empty():
+            log_func, args = await self.logs_queue.get()
+            try:
+                await log_func(*args)
+            except Exception as e:
+                logger.error(f"Error processing log: {e}")
+            finally:
+                self.logs_queue.task_done()
+
+    async def start(self):
+        if self.running:
+            return
+        try:
+            self.running = True
+            self.worker_task = asyncio.create_task(self.log_worker())
+        except Exception as e:
+            logger.error(f"Error starting tracing service: {e}")
+
+    async def flush(self):
+        try:
+            await self.logs_queue.join()
+        except Exception as e:
+            logger.error(f"Error flushing logs: {e}")
+
+    async def stop(self):
+        try:
+            self.running = False
+            await self.flush()
+            # check the qeue is empty
+            if not self.logs_queue.empty():
+                await self.logs_queue.join()
+            self.worker_task.cancel()
+            self.worker_task = None
+
+        except Exception as e:
+            logger.error(f"Error stopping tracing service: {e}")
+
+    def _reset_io(self):
+        self.inputs = defaultdict(dict)
+        self.inputs_metadata = defaultdict(dict)
+        self.outputs = defaultdict(dict)
+        self.outputs_metadata = defaultdict(dict)
+
+    async def initialize_tracers(self):
+        try:
+            await self.start()
+            self._initialize_langsmith_tracer()
+        except Exception as e:
+            logger.debug(f"Error initializing tracers: {e}")
+
+    def _initialize_langsmith_tracer(self):
+        project_name = os.getenv("LANGCHAIN_PROJECT", "Langflow")
+        self.project_name = project_name
+        self._tracers["langsmith"] = LangSmithTracer(
+            trace_name=self.run_name,
+            trace_type="chain",
+            project_name=self.project_name,
+            trace_id=self.run_id,
+        )
+
+    def set_run_name(self, name: str):
+        self.run_name = name
+
+    def set_run_id(self, run_id: UUID):
+        self.run_id = run_id
+
+    def _start_traces(
+        self, trace_name: str, trace_type: str, inputs: Dict[str, Any], metadata: Optional[Dict[str, Any]] = None
+    ):
+        self.inputs[trace_name] = inputs
+        self.inputs_metadata[trace_name] = metadata or {}
+        for tracer in self._tracers.values():
+            if not tracer.ready:
+                continue
+            try:
+                tracer.add_trace(trace_name, trace_type, inputs, metadata)
+            except Exception as e:
+                logger.error(f"Error starting trace {trace_name}: {e}")
+
+    def _end_traces(self, trace_name: str, error: str | None = None):
+        for tracer in self._tracers.values():
+            if not tracer.ready:
+                continue
+            try:
+                tracer.end_trace(trace_name=trace_name, outputs=self.outputs[trace_name], error=error)
+            except Exception as e:
+                logger.error(f"Error ending trace {trace_name}: {e}")
+
+    def _end_all_traces(self, outputs: dict, error: str | None = None):
+        for tracer in self._tracers.values():
+            if not tracer.ready:
+                continue
+            try:
+                tracer.end(self.inputs, outputs=self.outputs, error=error, metadata=outputs)
+            except Exception as e:
+                logger.error(f"Error ending all traces: {e}")
+
+    async def end(self, outputs: dict, error: str | None = None):
+        self._end_all_traces(outputs, error)
+        self._reset_io()
+        await self.stop()
+
+    async def _add_log(self, trace_name: str, log: Log):
+        for tracer in self._tracers.values():
+            if not tracer.ready:
+                continue
+            try:
+                tracer.add_log(trace_name, log)
+            except Exception as e:
+                logger.error(f"Error adding log to trace {trace_name}: {e}")
+
+    def add_log(self, trace_name: str, log: Log):
+        if not self.running:
+            asyncio.run(self.start())
+        self.logs_queue.put_nowait((self._add_log, (trace_name, log)))
+
+    @asynccontextmanager
+    async def trace_context(
+        self,
+        trace_name: str,
+        trace_type: str,
+        inputs: Dict[str, Any],
+        metadata: Optional[Dict[str, Any]] = None,
+    ):
+        self._start_traces(trace_name, trace_type, inputs, metadata)
+        try:
+            yield self
+        except Exception as e:
+            tb = traceback.format_exc()
+            error_message = f"{e.__class__.__name__}: {e}\n\n{tb}"
+            self._end_traces(trace_name, error_message)
+            raise e
+        finally:
+            self._end_traces(trace_name, None)
+            self._reset_io()
+
+    def set_outputs(self, trace_name: str, outputs: Dict[str, Any], output_metadata: Dict[str, Any] | None = None):
+        self.outputs[trace_name] |= outputs or {}
+
+        self.outputs_metadata[trace_name] |= output_metadata or {}
+
+
+class LangSmithTracer:
+    def __init__(self, trace_name: str, trace_type: str, project_name: str, trace_id: UUID):
+        from langsmith.run_trees import RunTree
+
+        self.trace_name = trace_name
+        self.trace_type = trace_type
+        self.project_name = project_name
+        self.trace_id = trace_id
+        try:
+            self._run_tree = RunTree(
+                project_name=self.project_name,
+                name=self.trace_name,
+                run_type=self.trace_type,
+                id=self.trace_id,
+            )
+            self._run_tree.add_event({"name": "Start", "time": datetime.now(timezone.utc).isoformat()})
+            self._children: dict[str, RunTree] = {}
+            self._ready = self.setup_langsmith()
+        except Exception as e:
+            logger.debug(f"Error setting up LangSmith tracer: {e}")
+            self._ready = False
+
+    @property
+    def ready(self):
+        return self._ready
+
+    def setup_langsmith(self):
+        try:
+            from langsmith import Client
+
+            self._client = Client()
+        except ImportError:
+            logger.error("Could not import langsmith. Please install it with `pip install langsmith`.")
+            return False
+        os.environ["LANGCHAIN_TRACING_V2"] = "true"
+        return True
+
+    def add_trace(
+        self, trace_name: str, trace_type: str, inputs: Dict[str, Any], metadata: Dict[str, Any] | None = None
+    ):
+        if not self._ready:
+            return
+        raw_inputs = {}
+        processed_inputs = {}
+        if inputs:
+            raw_inputs = inputs.copy()
+            raw_inputs |= metadata or {}
+            processed_inputs = self._convert_to_langchain_types(inputs)
+        child = self._run_tree.create_child(
+            name=trace_name,
+            run_type=trace_type,  # type: ignore[arg-type]
+            inputs=processed_inputs,
+        )
+        if metadata:
+            child.add_metadata(raw_inputs)
+        self._children[trace_name] = child
+        self._child_link: dict[str, str] = {}
+
+    def _convert_to_langchain_types(self, io_dict: Dict[str, Any]):
+        converted = {}
+        for key, value in io_dict.items():
+            converted[key] = self._convert_to_langchain_type(value)
+        return converted
+
+    def _convert_to_langchain_type(self, value):
+        from langflow.schema.message import Message
+
+        if isinstance(value, dict):
+            for key, _value in value.copy().items():
+                _value = self._convert_to_langchain_type(_value)
+                value[key] = _value
+        elif isinstance(value, list):
+            value = [self._convert_to_langchain_type(v) for v in value]
+        elif isinstance(value, Message):
+            if "prompt" in value:
+                value = value.load_lc_prompt()
+            elif value.sender:
+                value = value.to_lc_message()
+            else:
+                value = value.to_lc_document()
+        elif isinstance(value, Data):
+            value = value.to_lc_document()
+        return value
+
+    def end_trace(self, trace_name: str, outputs: Dict[str, Any] | None = None, error: str | None = None):
+        child = self._children[trace_name]
+        raw_outputs = {}
+        processed_outputs = {}
+        if outputs:
+            raw_outputs = outputs
+            processed_outputs = self._convert_to_langchain_types(outputs)
+        child.add_metadata({"outputs": raw_outputs})
+        child.end(outputs=processed_outputs, error=error)
+        if error:
+            child.patch()
+        else:
+            child.post()
+        self._child_link[trace_name] = child.get_url()
+
+    def add_log(self, trace_name: str, log: Log):
+        log_dict = {
+            "name": log.get("name"),
+            "time": datetime.now(timezone.utc).isoformat(),
+            "message": log.get("message"),
+        }
+        self._children[trace_name].add_event(log_dict)
+
+    def end(
+        self,
+        inputs: dict[str, Any],
+        outputs: Dict[str, Any],
+        error: str | None = None,
+        metadata: Optional[dict[str, Any]] = None,
+    ):
+        self._run_tree.add_metadata({"inputs": inputs, "metadata": metadata or {}})
+        self._run_tree.end(outputs=outputs, error=error)
+        self._run_tree.post()
+        wait_for_all_tracers()
+        self._run_link = self._run_tree.get_url()
diff --git a/src/backend/base/langflow/services/utils.py b/src/backend/base/langflow/services/utils.py
new file mode 100644
index 00000000000..3d2be2f6dd5
--- /dev/null
+++ b/src/backend/base/langflow/services/utils.py
@@ -0,0 +1,172 @@
+from loguru import logger
+from sqlmodel import Session, select
+
+from langflow.services.auth.utils import create_super_user, verify_password
+from langflow.services.cache.factory import CacheServiceFactory
+from langflow.services.database.utils import initialize_database
+from langflow.services.schema import ServiceType
+from langflow.services.settings.constants import DEFAULT_SUPERUSER, DEFAULT_SUPERUSER_PASSWORD
+
+from .deps import get_db_service, get_service, get_session, get_settings_service
+
+
+def get_or_create_super_user(session: Session, username, password, is_default):
+    from langflow.services.database.models.user.model import User
+
+    user = session.exec(select(User).where(User.username == username)).first()
+
+    if user and user.is_superuser:
+        return None  # Superuser already exists
+
+    if user and is_default:
+        if user.is_superuser:
+            if verify_password(password, user.password):
+                return None
+            else:
+                # Superuser exists but password is incorrect
+                # which means that the user has changed the
+                # base superuser credentials.
+                # This means that the user has already created
+                # a superuser and changed the password in the UI
+                # so we don't need to do anything.
+                logger.debug(
+                    "Superuser exists but password is incorrect. "
+                    "This means that the user has changed the "
+                    "base superuser credentials."
+                )
+                return None
+        else:
+            logger.debug("User with superuser credentials exists but is not a superuser.")
+            return None
+
+    if user:
+        if verify_password(password, user.password):
+            raise ValueError("User with superuser credentials exists but is not a superuser.")
+        else:
+            raise ValueError("Incorrect superuser credentials")
+
+    if is_default:
+        logger.debug("Creating default superuser.")
+    else:
+        logger.debug("Creating superuser.")
+    try:
+        return create_super_user(username, password, db=session)
+    except Exception as exc:
+        if "UNIQUE constraint failed: user.username" in str(exc):
+            # This is to deal with workers running this
+            # at startup and trying to create the superuser
+            # at the same time.
+            logger.debug("Superuser already exists.")
+            return None
+
+
+def setup_superuser(settings_service, session: Session):
+    if settings_service.auth_settings.AUTO_LOGIN:
+        logger.debug("AUTO_LOGIN is set to True. Creating default superuser.")
+    else:
+        # Remove the default superuser if it exists
+        teardown_superuser(settings_service, session)
+
+    username = settings_service.auth_settings.SUPERUSER
+    password = settings_service.auth_settings.SUPERUSER_PASSWORD
+
+    is_default = (username == DEFAULT_SUPERUSER) and (password == DEFAULT_SUPERUSER_PASSWORD)
+
+    try:
+        user = get_or_create_super_user(session=session, username=username, password=password, is_default=is_default)
+        if user is not None:
+            logger.debug("Superuser created successfully.")
+    except Exception as exc:
+        logger.exception(exc)
+        raise RuntimeError("Could not create superuser. Please create a superuser manually.") from exc
+    finally:
+        settings_service.auth_settings.reset_credentials()
+
+
+def teardown_superuser(settings_service, session):
+    """
+    Teardown the superuser.
+    """
+    # If AUTO_LOGIN is True, we will remove the default superuser
+    # from the database.
+
+    if not settings_service.auth_settings.AUTO_LOGIN:
+        try:
+            logger.debug("AUTO_LOGIN is set to False. Removing default superuser if exists.")
+            username = DEFAULT_SUPERUSER
+            from langflow.services.database.models.user.model import User
+
+            user = session.exec(select(User).where(User.username == username)).first()
+            if user and user.is_superuser is True:
+                session.delete(user)
+                session.commit()
+                logger.debug("Default superuser removed successfully.")
+            else:
+                logger.debug("Default superuser not found.")
+        except Exception as exc:
+            logger.exception(exc)
+            raise RuntimeError("Could not remove default superuser.") from exc
+
+
+def teardown_services():
+    """
+    Teardown all the services.
+    """
+    try:
+        teardown_superuser(get_settings_service(), next(get_session()))
+    except Exception as exc:
+        logger.exception(exc)
+    try:
+        from langflow.services.manager import service_manager
+
+        service_manager.teardown()
+    except Exception as exc:
+        logger.exception(exc)
+
+
+def initialize_settings_service():
+    """
+    Initialize the settings manager.
+    """
+    from langflow.services.settings import factory as settings_factory
+
+    get_service(ServiceType.SETTINGS_SERVICE, settings_factory.SettingsServiceFactory())
+
+
+def initialize_session_service():
+    """
+    Initialize the session manager.
+    """
+    from langflow.services.cache import factory as cache_factory
+    from langflow.services.session import factory as session_service_factory  # type: ignore
+
+    initialize_settings_service()
+
+    get_service(
+        ServiceType.CACHE_SERVICE,
+        cache_factory.CacheServiceFactory(),
+    )
+
+    get_service(
+        ServiceType.SESSION_SERVICE,
+        session_service_factory.SessionServiceFactory(),
+    )
+
+
+def initialize_services(fix_migration: bool = False, socketio_server=None):
+    """
+    Initialize all the services needed.
+    """
+    # Test cache connection
+    get_service(ServiceType.CACHE_SERVICE, default=CacheServiceFactory())
+    # Setup the superuser
+    try:
+        initialize_database(fix_migration=fix_migration)
+    except Exception as exc:
+        raise exc
+    setup_superuser(get_service(ServiceType.SETTINGS_SERVICE), next(get_session()))
+    try:
+        get_db_service().migrate_flows_if_auto_login()
+    except Exception as exc:
+        logger.error(f"Error migrating flows: {exc}")
+        raise RuntimeError("Error migrating flows") from exc
diff --git a/src/backend/langflow/template/template/__init__.py b/src/backend/base/langflow/services/variable/__init__.py
similarity index 100%
rename from src/backend/langflow/template/template/__init__.py
rename to src/backend/base/langflow/services/variable/__init__.py
diff --git a/src/backend/base/langflow/services/variable/base.py b/src/backend/base/langflow/services/variable/base.py
new file mode 100644
index 00000000000..aa7615a6a76
--- /dev/null
+++ b/src/backend/base/langflow/services/variable/base.py
@@ -0,0 +1,108 @@
+import abc
+from typing import Optional, Union
+from uuid import UUID
+
+from sqlmodel import Session
+
+from langflow.services.base import Service
+from langflow.services.database.models.variable.model import Variable
+
+
+class VariableService(Service):
+    """
+    Abstract base class for a variable service.
+    """
+
+    name = "variable_service"
+
+    @abc.abstractmethod
+    def initialize_user_variables(self, user_id: Union[UUID, str], session: Session) -> None:
+        """
+        Initialize user variables.
+
+        Args:
+            user_id: The user ID.
+            session: The database session.
+        """
+
+    @abc.abstractmethod
+    def get_variable(self, user_id: Union[UUID, str], name: str, field: str, session: Session) -> str:
+        """
+        Get a variable value.
+
+        Args:
+            user_id: The user ID.
+            name: The name of the variable.
+            field: The field of the variable.
+            session: The database session.
+
+        Returns:
+            The value of the variable.
+        """
+
+    @abc.abstractmethod
+    def list_variables(self, user_id: Union[UUID, str], session: Session) -> list[Optional[str]]:
+        """
+        List all variables.
+
+        Args:
+            user_id: The user ID.
+            session: The database session.
+
+        Returns:
+            A list of variable names.
+        """
+
+    @abc.abstractmethod
+    def update_variable(self, user_id: Union[UUID, str], name: str, value: str, session: Session) -> Variable:
+        """
+        Update a variable.
+
+        Args:
+            user_id: The user ID.
+            name: The name of the variable.
+            value: The value of the variable.
+            session: The database session.
+
+        Returns:
+            The updated variable.
+        """
+
+    @abc.abstractmethod
+    def delete_variable(self, user_id: Union[UUID, str], name: str, session: Session) -> Variable:
+        """
+        Delete a variable.
+
+        Args:
+            user_id: The user ID.
+            name: The name of the variable.
+            session: The database session.
+
+        Returns:
+            The deleted variable.
+        """
+
+    @abc.abstractmethod
+    def create_variable(
+        self,
+        user_id: Union[UUID, str],
+        name: str,
+        value: str,
+        default_fields: list[str],
+        _type: str,
+        session: Session,
+    ) -> Variable:
+        """
+        Create a variable.
+
+        Args:
+            user_id: The user ID.
+            name: The name of the variable.
+            value: The value of the variable.
+            default_fields: The default fields of the variable.
+            _type: The type of the variable.
+            session: The database session.
+
+        Returns:
+            The created variable.
+        """
diff --git a/src/backend/base/langflow/services/variable/factory.py b/src/backend/base/langflow/services/variable/factory.py
new file mode 100644
index 00000000000..18d63bc0c13
--- /dev/null
+++ b/src/backend/base/langflow/services/variable/factory.py
@@ -0,0 +1,24 @@
+from typing import TYPE_CHECKING
+
+from langflow.services.factory import ServiceFactory
+from langflow.services.variable.service import DatabaseVariableService, VariableService
+
+if TYPE_CHECKING:
+    from langflow.services.settings.service import SettingsService
+
+
+class VariableServiceFactory(ServiceFactory):
+    def __init__(self):
+        super().__init__(VariableService)
+
+    def create(self, settings_service: "SettingsService"):
+        # here you would have logic to create and configure a VariableService
+        # based on the settings_service
+
+        if settings_service.settings.variable_store == "kubernetes":
+            # Keep it here to avoid import errors
+            from langflow.services.variable.kubernetes import KubernetesSecretService
+
+            return KubernetesSecretService(settings_service)
+        else:
+            return DatabaseVariableService(settings_service)
diff --git a/src/backend/base/langflow/services/variable/kubernetes.py b/src/backend/base/langflow/services/variable/kubernetes.py
new file mode 100644
index 00000000000..19c84000b45
--- /dev/null
+++ b/src/backend/base/langflow/services/variable/kubernetes.py
@@ -0,0 +1,149 @@
+import os
+from typing import Optional, Tuple, Union
+from uuid import UUID
+
+from langflow.services.auth import utils as auth_utils
+from langflow.services.base import Service
+from langflow.services.database.models.variable.model import Variable, VariableCreate
+from langflow.services.settings.service import SettingsService
+from langflow.services.variable.base import VariableService
+from langflow.services.variable.kubernetes_secrets import KubernetesSecretManager, encode_user_id
+from langflow.services.variable.service import CREDENTIAL_TYPE, GENERIC_TYPE
+from loguru import logger
+from sqlmodel import Session
+
+
+class KubernetesSecretService(VariableService, Service):
+    def __init__(self, settings_service: "SettingsService"):
+        self.settings_service = settings_service
+        # TODO: settings_service to set kubernetes namespace
+        self.kubernetes_secrets = KubernetesSecretManager()
+
+    def initialize_user_variables(self, user_id: Union[UUID, str], session: Session):
+        # Check for environment variables that should be stored in the database
+        should_or_should_not = "Should" if self.settings_service.settings.store_environment_variables else "Should not"
+        logger.info(f"{should_or_should_not} store environment variables in the kubernetes.")
+        if self.settings_service.settings.store_environment_variables:
+            variables = {}
+            for var in self.settings_service.settings.variables_to_get_from_environment:
+                if var in os.environ:
+                    logger.debug(f"Creating {var} variable from environment.")
+                    value = os.environ[var]
+                    if isinstance(value, str):
+                        value = value.strip()
+                    key = CREDENTIAL_TYPE + "_" + var
+                    variables[key] = str(value)
+
+            try:
+                secret_name = encode_user_id(user_id)
+                self.kubernetes_secrets.create_secret(
+                    name=secret_name,
+                    data=variables,
+                )
+            except Exception as e:
+                logger.error(f"Error creating {var} variable: {e}")
+
+        else:
+            logger.info("Skipping environment variable storage.")
+
+    # resolve_variable is a helper function that resolves the variable name to the actual key in the secret
+    def resolve_variable(
+        self,
+        secret_name: str,
+        user_id: Union[UUID, str],
+        name: str,
+    ) -> Tuple[str, str]:
+        variables = self.kubernetes_secrets.get_secret(name=secret_name)
+        if not variables:
+            raise ValueError(f"user_id {user_id} variable not found.")
+
+        if name in variables:
+            return name, variables[name]
+        else:
+            credential_name = CREDENTIAL_TYPE + "_" + name
+            if credential_name in variables:
+                return credential_name, variables[credential_name]
+            else:
+                raise ValueError(f"user_id {user_id} variable name {name} not found.")
+
+    def get_variable(
+        self,
+        user_id: Union[UUID, str],
+        name: str,
+        field: str,
+        _session: Session,
+    ) -> str:
+        secret_name = encode_user_id(user_id)
+        key, value = self.resolve_variable(secret_name, user_id, name)
+        if key.startswith(CREDENTIAL_TYPE + "_") and field == "session_id":  # type: ignore
+            raise TypeError(
+                f"variable {name} of type 'Credential' cannot be used in a Session ID field "
+                "because its purpose is to prevent the exposure of values."
+            )
+        return value
+
+    def list_variables(
+        self,
+        user_id: Union[UUID, str],
+        _session: Session,
+    ) -> list[Optional[str]]:
+        variables = self.kubernetes_secrets.get_secret(name=encode_user_id(user_id))
+        if not variables:
+            return []
+
+        names = []
+        for key in variables.keys():
+            if key.startswith(CREDENTIAL_TYPE + "_"):
+                names.append(key[len(CREDENTIAL_TYPE) + 1 :])
+            else:
+                names.append(key)
+        return names
+
+    def update_variable(
+        self,
+        user_id: Union[UUID, str],
+        name: str,
+        value: str,
+        _session: Session,
+    ):
+        secret_name = encode_user_id(user_id)
+        secret_key, _ = self.resolve_variable(secret_name, user_id, name)
+        return self.kubernetes_secrets.update_secret(name=secret_name, data={secret_key: value})
+
+    def delete_variable(
+        self,
+        user_id: Union[UUID, str],
+        name: str,
+        _session: Session,
+    ):
+        secret_name = encode_user_id(user_id)
+        secret_key, _ = self.resolve_variable(secret_name, user_id, name)
+        self.kubernetes_secrets.delete_secret_key(name=secret_name, key=secret_key)
+        return
+
+    def create_variable(
+        self,
+        user_id: Union[UUID, str],
+        name: str,
+        value: str,
+        default_fields: list[str],
+        _type: str,
+        _session: Session,
+    ) -> Variable:
+        secret_name = encode_user_id(user_id)
+        secret_key = name
+        if _type == CREDENTIAL_TYPE:
+            secret_key = CREDENTIAL_TYPE + "_" + name
+        else:
+            _type = GENERIC_TYPE
+
+        self.kubernetes_secrets.upsert_secret(secret_name=secret_name, data={secret_key: value})
+
+        variable_base = VariableCreate(
+            name=name,
+            type=_type,
+            value=auth_utils.encrypt_api_key(value, settings_service=self.settings_service),
+            default_fields=default_fields,
+        )
+        variable = Variable.model_validate(variable_base, from_attributes=True, update={"user_id": user_id})
+        return variable
diff --git a/src/backend/base/langflow/services/variable/kubernetes_secrets.py b/src/backend/base/langflow/services/variable/kubernetes_secrets.py
new file mode 100644
index 00000000000..a72fbd37a33
--- /dev/null
+++ b/src/backend/base/langflow/services/variable/kubernetes_secrets.py
@@ -0,0 +1,195 @@
+from kubernetes import client, config  # type: ignore
+from kubernetes.client.rest import ApiException  # type: ignore
+from base64 import b64encode, b64decode
+
+from loguru import logger
+from typing import Union
+from uuid import UUID
+
+
+class KubernetesSecretManager:
+    """
+    A class for managing Kubernetes secrets.
+    """
+
+    def __init__(self, namespace: str = "langflow"):
+        """
+        Initialize the KubernetesSecretManager class.
+
+        Args:
+            namespace (str): The namespace in which to perform secret operations.
+        """
+        config.load_kube_config()
+        self.namespace = namespace
+
+        # initialize the Kubernetes API client
+        self.core_api = client.CoreV1Api()
+
+    def create_secret(self, name: str, data: dict, secret_type: str = "Opaque"):
+        """
+        Create a new secret in the specified namespace.
+
+        Args:
+            name (str): The name of the secret to create.
+            data (dict): A dictionary containing the key-value pairs for the secret data.
+            secret_type (str, optional): The type of secret to create. Defaults to 'Opaque'.
+
+        Returns:
+            V1Secret: The created secret object.
+        """
+        encoded_data = {k: b64encode(v.encode()).decode() for k, v in data.items()}
+
+        secret_metadata = client.V1ObjectMeta(name=name)
+        secret = client.V1Secret(
+            api_version="v1", kind="Secret", metadata=secret_metadata, type=secret_type, data=encoded_data
+        )
+
+        return self.core_api.create_namespaced_secret(self.namespace, secret)
+
+    def upsert_secret(self, secret_name: str, data: dict, secret_type: str = "Opaque"):
+        """
+        Upsert a secret in the specified namespace.
+        If the secret doesn't exist, it will be created.
+        If it exists, it will be updated with new data while preserving existing keys.
+
+        :param secret_name: Name of the secret
+        :param new_data: Dictionary containing new key-value pairs for the secret
+        :return: Created or updated secret object
+        """
+        try:
+            # Try to read the existing secret
+            existing_secret = self.core_api.read_namespaced_secret(secret_name, self.namespace)
+
+            # If secret exists, update it
+            existing_data = {k: b64decode(v).decode() for k, v in existing_secret.data.items()}
+            existing_data.update(data)
+
+            # Encode all data to base64
+            encoded_data = {k: b64encode(v.encode()).decode() for k, v in existing_data.items()}
+
+            # Update the existing secret
+            existing_secret.data = encoded_data
+            return self.core_api.replace_namespaced_secret(secret_name, self.namespace, existing_secret)
+
+        except ApiException as e:
+            if e.status == 404:
+                # Secret doesn't exist, create a new one
+                return self.create_secret(secret_name, data)
+            else:
+                logger.error(f"Error upserting secret {secret_name}: {e}")
+                raise
+
+    def get_secret(self, name: str) -> dict | None:
+        """
+        Read a secret from the specified namespace.
+
+        Args:
+            name (str): The name of the secret to read.
+
+        Returns:
+            V1Secret: The secret object.
+        """
+        try:
+            secret = self.core_api.read_namespaced_secret(name, self.namespace)
+            return {k: b64decode(v).decode() for k, v in secret.data.items()}
+        except ApiException as e:
+            if e.status == 404:
+                return None
+            raise
+
+    def update_secret(self, name: str, data: dict):
+        """
+        Update an existing secret in the specified namespace.
+
+        Args:
+            name (str): The name of the secret to update.
+            data (dict): A dictionary containing the key-value pairs for the updated secret data.
+
+        Returns:
+            V1Secret: The updated secret object.
+        """
+        # Get the existing secret
+        secret = self.core_api.read_namespaced_secret(name, self.namespace)
+        if secret is None:
+            raise ApiException(status=404, reason="Not Found", msg="Secret not found")
+
+        # Update the secret data
+        encoded_data = {k: b64encode(v.encode()).decode() for k, v in data.items()}
+        secret.data.update(encoded_data)
+
+        # Update the secret in Kubernetes
+        return self.core_api.replace_namespaced_secret(name, self.namespace, secret)
+
+    def delete_secret_key(self, name: str, key: str):
+        """
+        Delete a key from the specified secret in the namespace.
+
+        Args:
+            name (str): The name of the secret.
+            key (str): The key to delete from the secret.
+
+        Returns:
+            V1Secret: The updated secret object.
+        """
+        # Get the existing secret
+        secret = self.core_api.read_namespaced_secret(name, self.namespace)
+        if secret is None:
+            raise ApiException(status=404, reason="Not Found", msg="Secret not found")
+
+        # Delete the key from the secret data
+        if key in secret.data:
+            del secret.data[key]
+        else:
+            raise ApiException(status=404, reason="Not Found", msg="Key not found in the secret")
+
+        # Update the secret in Kubernetes
+        return self.core_api.replace_namespaced_secret(name, self.namespace, secret)
+
+    def delete_secret(self, name: str):
+        """
+        Delete a secret from the specified namespace.
+
+        Args:
+            name (str): The name of the secret to delete.
+
+        Returns:
+            V1Status: The status object indicating the success or failure of the operation.
+        """
+        return self.core_api.delete_namespaced_secret(name, self.namespace)
+
+
+# utility function to encode user_id to base64 lower case and numbers only
+# this is required by kubernetes secret name restrictions
+def encode_user_id(user_id: Union[UUID | str]) -> str:
+    # Handle UUID
+    if isinstance(user_id, UUID):
+        return f"uuid-{str(user_id).lower()}"[:253]
+
+    # Convert string to lowercase
+    id = str(user_id).lower()
+
+    # If the user_id looks like an email, replace @ and . with allowed characters
+    if "@" in id or "." in id:
+        id = id.replace("@", "-at-").replace(".", "-dot-")
+
+    # Encode the user_id to base64
+    # encoded = base64.b64encode(user_id.encode("utf-8")).decode("utf-8")
+
+    # Replace characters not allowed in Kubernetes names
+    id = id.replace("+", "-").replace("/", "_").rstrip("=")
+
+    # Ensure the name starts with an alphanumeric character
+    if not id[0].isalnum():
+        id = "a-" + id
+
+    # Truncate to 253 characters (Kubernetes name length limit)
+    id = id[:253]
+
+    if not all(c.isalnum() or c in "-_" for c in id):
+        raise ValueError(f"Invalid user_id: {id}")
+
+    # Ensure the name ends with an alphanumeric character
+    while not id[-1].isalnum():
+        id = id[:-1]
+
+    return id
diff --git a/src/backend/base/langflow/services/variable/service.py b/src/backend/base/langflow/services/variable/service.py
new file mode 100644
index 00000000000..fc88f130183
--- /dev/null
+++ b/src/backend/base/langflow/services/variable/service.py
@@ -0,0 +1,131 @@
+import os
+from typing import TYPE_CHECKING, Optional, Union
+from uuid import UUID
+
+from fastapi import Depends
+from loguru import logger
+from sqlmodel import Session, select
+
+from langflow.services.auth import utils as auth_utils
+from langflow.services.base import Service
+from langflow.services.database.models.variable.model import Variable, VariableCreate
+from langflow.services.deps import get_session
+from langflow.services.variable.base import VariableService
+
+if TYPE_CHECKING:
+    from langflow.services.settings.service import SettingsService
+
+CREDENTIAL_TYPE = "Credential"
+GENERIC_TYPE = "Generic"
+
+
+class DatabaseVariableService(VariableService, Service):
+    def __init__(self, settings_service: "SettingsService"):
+        self.settings_service = settings_service
+
+    def initialize_user_variables(self, user_id: Union[UUID, str], session: Session = Depends(get_session)):
+        # Check for environment variables that should be stored in the database
+        should_or_should_not = "Should" if self.settings_service.settings.store_environment_variables else "Should not"
+        logger.info(f"{should_or_should_not} store environment variables in the database.")
+        if self.settings_service.settings.store_environment_variables:
+            for var in self.settings_service.settings.variables_to_get_from_environment:
+                if var in os.environ:
+                    logger.debug(f"Creating {var} variable from environment.")
+                    if not session.exec(
+                        select(Variable).where(Variable.user_id == user_id, Variable.name == var)
+                    ).first():
+                        try:
+                            value = os.environ[var]
+                            if isinstance(value, str):
+                                value = value.strip()
+                            self.create_variable(
+                                user_id=user_id,
+                                name=var,
+                                value=value,
+                                default_fields=[],
+                                _type=CREDENTIAL_TYPE,
+                                session=session,
+                            )
+                        except Exception as e:
+                            logger.error(f"Error creating {var} variable: {e}")
+
+        else:
+            logger.info("Skipping environment variable storage.")
+
+    def get_variable(
+        self,
+        user_id: Union[UUID, str],
+        name: str,
+        field: str,
+        session: Session = Depends(get_session),
+    ) -> str:
+        # we get the credential from the database
+        # credential = session.query(Variable).filter(Variable.user_id == user_id, Variable.name == name).first()
+        variable = session.exec(select(Variable).where(Variable.user_id == user_id, Variable.name == name)).first()
+
+        if variable.type == CREDENTIAL_TYPE and field == "session_id":  # type: ignore
+            raise TypeError(
+                f"variable {name} of type 'Credential' cannot be used in a Session ID field "
+                "because its purpose is to prevent the exposure of values."
+            )
+
+        # we decrypt the value
+        if not variable or not variable.value:
+            raise ValueError(f"{name} variable not found.")
+        decrypted = auth_utils.decrypt_api_key(variable.value, settings_service=self.settings_service)
+        return decrypted
+
+    def list_variables(self, user_id: Union[UUID, str], session: Session = Depends(get_session)) -> list[Optional[str]]:
+        variables = session.exec(select(Variable).where(Variable.user_id == user_id)).all()
+        return [variable.name for variable in variables]
+
+    def update_variable(
+        self,
+        user_id: Union[UUID, str],
+        name: str,
+        value: str,
+        session: Session = Depends(get_session),
+    ):
+        variable = session.exec(select(Variable).where(Variable.user_id == user_id, Variable.name == name)).first()
+        if not variable:
+            raise ValueError(f"{name} variable not found.")
+        encrypted = auth_utils.encrypt_api_key(value, settings_service=self.settings_service)
+        variable.value = encrypted
+        session.add(variable)
+        session.commit()
+        session.refresh(variable)
+        return variable
+
+    def delete_variable(
+        self,
+        user_id: Union[UUID, str],
+        name: str,
+        session: Session = Depends(get_session),
+    ):
+        variable = session.exec(select(Variable).where(Variable.user_id == user_id, Variable.name == name)).first()
+        if not variable:
+            raise ValueError(f"{name} variable not found.")
+        session.delete(variable)
+        session.commit()
+        return variable
+
+    def create_variable(
+        self,
+        user_id: Union[UUID, str],
+        name: str,
+        value: str,
+        default_fields: list[str] = [],
+        _type: str = GENERIC_TYPE,
+        session: Session = Depends(get_session),
+    ):
+        variable_base = VariableCreate(
+            name=name,
+            type=_type,
+            value=auth_utils.encrypt_api_key(value, settings_service=self.settings_service),
+            default_fields=default_fields,
+        )
+        variable = Variable.model_validate(variable_base, from_attributes=True, update={"user_id": user_id})
+        session.add(variable)
+        session.commit()
+        session.refresh(variable)
+        return variable
diff --git a/src/backend/base/langflow/template/__init__.py b/src/backend/base/langflow/template/__init__.py
new file mode 100644
index 00000000000..6518b96894b
--- /dev/null
+++ b/src/backend/base/langflow/template/__init__.py
@@ -0,0 +1,11 @@
+from langflow.template.field.base import Input, Output
+from langflow.template.frontend_node.base import FrontendNode
+from langflow.template.template.base import Template
+
+
+__all__ = [
+    "Input",
+    "Output",
+    "FrontendNode",
+    "Template",
+]
diff --git a/src/backend/langflow/utils/__init__.py b/src/backend/base/langflow/template/field/__init__.py
similarity index 100%
rename from src/backend/langflow/utils/__init__.py
rename to src/backend/base/langflow/template/field/__init__.py
diff --git a/src/backend/base/langflow/template/field/base.py b/src/backend/base/langflow/template/field/base.py
new file mode 100644
index 00000000000..e825762301c
--- /dev/null
+++ b/src/backend/base/langflow/template/field/base.py
@@ -0,0 +1,209 @@
+from enum import Enum
+from typing import Any, Callable, GenericAlias, Optional, Union, _GenericAlias, _UnionGenericAlias  # type: ignore
+
+from pydantic import BaseModel, ConfigDict, Field, field_serializer, field_validator, model_serializer, model_validator
+
+from langflow.field_typing import Text
+from langflow.field_typing.range_spec import RangeSpec
+from langflow.helpers.custom import format_type
+from langflow.type_extraction.type_extraction import post_process_type
+
+
+class UndefinedType(Enum):
+    undefined = "__UNDEFINED__"
+
+
+UNDEFINED = UndefinedType.undefined
+
+
+class Input(BaseModel):
+    model_config = ConfigDict(arbitrary_types_allowed=True)
+
+    field_type: str | type | None = Field(default=str, serialization_alias="type")
+    """The type of field this is. Default is a string."""
+
+    required: bool = False
+    """Specifies if the field is required. Defaults to False."""
+
+    placeholder: str = ""
+    """A placeholder string for the field. Default is an empty string."""
+
+    is_list: bool = Field(default=False, serialization_alias="list")
+    """Defines if the field is a list. Default is False."""
+
+    show: bool = True
+    """Should the field be shown. Defaults to True."""
+
+    multiline: bool = False
+    """Defines if the field will allow the user to open a text editor. Default is False."""
+
+    value: Any = None
+    """The value of the field. Default is None."""
+
+    file_types: list[str] = Field(default=[], serialization_alias="fileTypes")
+    """List of file types associated with the field . Default is an empty list."""
+
+    file_path: Optional[str] = ""
+    """The file path of the field if it is a file. Defaults to None."""
+
+    password: bool = False
+    """Specifies if the field is a password. Defaults to False."""
+
+    options: Optional[Union[list[str], Callable]] = None
+    """List of options for the field. Only used when is_list=True. Default is an empty list."""
+
+    name: Optional[str] = None
+    """Name of the field. Default is an empty string."""
+
+    display_name: Optional[str] = None
+    """Display name of the field. Defaults to None."""
+
+    advanced: bool = False
+    """Specifies if the field will an advanced parameter (hidden). Defaults to False."""
+
+    input_types: Optional[list[str]] = None
+    """List of input types for the handle when the field has more than one type. Default is an empty list."""
+
+    dynamic: bool = False
+    """Specifies if the field is dynamic. Defaults to False."""
+
+    info: Optional[str] = ""
+    """Additional information about the field to be shown in the tooltip. Defaults to an empty string."""
+
+    real_time_refresh: Optional[bool] = None
+    """Specifies if the field should have real time refresh. `refresh_button` must be False. Defaults to None."""
+
+    refresh_button: Optional[bool] = None
+    """Specifies if the field should have a refresh button. Defaults to False."""
+    refresh_button_text: Optional[str] = None
+    """Specifies the text for the refresh button. Defaults to None."""
+
+    range_spec: Optional[RangeSpec] = Field(default=None, serialization_alias="rangeSpec")
+    """Range specification for the field. Defaults to None."""
+
+    load_from_db: bool = False
+    """Specifies if the field should be loaded from the database. Defaults to False."""
+    title_case: bool = False
+    """Specifies if the field should be displayed in title case. Defaults to True."""
+
+    def to_dict(self):
+        return self.model_dump(by_alias=True, exclude_none=True)
+
+    @model_serializer(mode="wrap")
+    def serialize_model(self, handler):
+        result = handler(self)
+        # If the field is str, we add the Text input type
+        if self.field_type in ["str", "Text"]:
+            if "input_types" not in result:
+                result["input_types"] = ["Text"]
+        if self.field_type == Text:
+            result["type"] = "str"
+        else:
+            result["type"] = self.field_type
+        return result
+
+    @model_validator(mode="after")
+    def validate_model(self):
+        # if field_type is int, we need to set the range_spec
+        if self.field_type == "int" and self.range_spec is not None:
+            self.range_spec = RangeSpec.set_step_type("int", self.range_spec)
+        return self
+
+    @field_serializer("file_path")
+    def serialize_file_path(self, value):
+        return value if self.field_type == "file" else ""
+
+    @field_serializer("field_type")
+    def serialize_field_type(self, value, _info):
+        if value == float and self.range_spec is None:
+            self.range_spec = RangeSpec()
+        return value
+
+    @field_serializer("display_name")
+    def serialize_display_name(self, value, _info):
+        # If display_name is not set, use name and convert to title case
+        # if title_case is True
+        if value is None:
+            # name is probably a snake_case string
+            # Ex: "file_path" -> "File Path"
+            value = self.name.replace("_", " ")
+            if self.title_case:
+                value = value.title()
+        return value
+
+    @field_validator("file_types")
+    def validate_file_types(cls, value):
+        if not isinstance(value, list):
+            raise ValueError("file_types must be a list")
+        return [
+            (f".{file_type}" if isinstance(file_type, str) and not file_type.startswith(".") else file_type)
+            for file_type in value
+        ]
+
+    @field_validator("field_type", mode="before")
+    @classmethod
+    def validate_type(cls, v):
+        # If the user passes CustomComponent as a type insteado of "CustomComponent" we need to convert it to a string
+        # this should be done for all types
+        # How to check if v is a type?
+        if isinstance(v, (type, _GenericAlias, GenericAlias, _UnionGenericAlias)):
+            v = post_process_type(v)[0]
+            v = format_type(v)
+        elif not isinstance(v, str):
+            raise ValueError(f"type must be a string or a type, not {type(v)}")
+        return v
+
+
+class Output(BaseModel):
+    types: Optional[list[str]] = Field(default=[])
+    """List of output types for the field."""
+
+    selected: Optional[str] = Field(default=None)
+    """The selected output type for the field."""
+
+    name: str = Field(description="The name of the field.")
+    """The name of the field."""
+
+    hidden: Optional[bool] = Field(default=None)
+    """Dictates if the field is hidden."""
+
+    display_name: Optional[str] = Field(default=None)
+    """The display name of the field."""
+
+    method: Optional[str] = Field(default=None)
+    """The method to use for the output."""
+
+    value: Optional[Any] = Field(default=UNDEFINED)
+
+    cache: bool = Field(default=True)
+
+    def to_dict(self):
+        return self.model_dump(by_alias=True, exclude_none=True)
+
+    def add_types(self, _type: list[Any]):
+        for type_ in _type:
+            if self.types is None:
+                self.types = []
+            self.types.append(type_)
+
+    def set_selected(self):
+        if not self.selected and self.types:
+            self.selected = self.types[0]
+
+    @model_serializer(mode="wrap")
+    def serialize_model(self, handler):
+        result = handler(self)
+        if self.value == UNDEFINED:
+            result["value"] = UNDEFINED.value
+
+        return result
+
+    @model_validator(mode="after")
+    def validate_model(self):
+        if self.value == UNDEFINED.value:
+            self.value = UNDEFINED
+        if self.name is None:
+            raise ValueError("name must be set")
+        if self.display_name is None:
+            self.display_name = self.name
+        return self
diff --git a/src/backend/base/langflow/template/field/prompt.py b/src/backend/base/langflow/template/field/prompt.py
new file mode 100644
index 00000000000..6ae396cf5be
--- /dev/null
+++ b/src/backend/base/langflow/template/field/prompt.py
@@ -0,0 +1,16 @@
+from typing import Optional
+
+from langflow.template.field.base import Input
+
+DEFAULT_PROMPT_INTUT_TYPES = ["Message", "Text"]
+
+
+class DefaultPromptField(Input):
+    name: str
+    display_name: Optional[str] = None
+    field_type: str = "str"
+
+    advanced: bool = False
+    multiline: bool = True
+    input_types: list[str] = DEFAULT_PROMPT_INTUT_TYPES
+    value: str = ""  # Set the value to empty string
diff --git a/src/backend/base/langflow/template/frontend_node/__init__.py b/src/backend/base/langflow/template/frontend_node/__init__.py
new file mode 100644
index 00000000000..98c6fdb0111
--- /dev/null
+++ b/src/backend/base/langflow/template/frontend_node/__init__.py
@@ -0,0 +1,6 @@
+from langflow.template.frontend_node import base, custom_components
+
+__all__ = [
+    "base",
+    "custom_components",
+]
diff --git a/src/backend/base/langflow/template/frontend_node/base.py b/src/backend/base/langflow/template/frontend_node/base.py
new file mode 100644
index 00000000000..77b6d1f69ae
--- /dev/null
+++ b/src/backend/base/langflow/template/frontend_node/base.py
@@ -0,0 +1,175 @@
+from collections import defaultdict
+from typing import Dict, List, Optional, Union
+
+from pydantic import BaseModel, field_serializer, model_serializer
+
+from langflow.template.field.base import Output
+from langflow.template.template.base import Template
+
+
+class FrontendNode(BaseModel):
+    _format_template: bool = True
+    template: Template
+    """Template for the frontend node."""
+    description: Optional[str] = None
+    """Description of the frontend node."""
+    icon: Optional[str] = None
+    """Icon of the frontend node."""
+    is_input: Optional[bool] = None
+    """Whether the frontend node is used as an input when processing the Graph.
+    If True, there should be a field named 'input_value'."""
+    is_output: Optional[bool] = None
+    """Whether the frontend node is used as an output when processing the Graph.
+    If True, there should be a field named 'input_value'."""
+    is_composition: Optional[bool] = None
+    """Whether the frontend node is used for composition."""
+    base_classes: List[str]
+    """List of base classes for the frontend node."""
+    name: str = ""
+    """Name of the frontend node."""
+    display_name: Optional[str] = ""
+    """Display name of the frontend node."""
+    documentation: str = ""
+    """Documentation of the frontend node."""
+    custom_fields: Optional[Dict] = defaultdict(list)
+    """Custom fields of the frontend node."""
+    output_types: List[str] = []
+    """List of output types for the frontend node."""
+    full_path: Optional[str] = None
+    """Full path of the frontend node."""
+    pinned: bool = False
+    """Whether the frontend node is pinned."""
+    conditional_paths: List[str] = []
+    """List of conditional paths for the frontend node."""
+    frozen: bool = False
+    """Whether the frontend node is frozen."""
+    outputs: List[Output] = []
+    """List of output fields for the frontend node."""
+
+    field_order: list[str] = []
+    """Order of the fields in the frontend node."""
+    beta: bool = False
+    """Whether the frontend node is in beta."""
+    error: Optional[str] = None
+    """Error message for the frontend node."""
+    edited: bool = False
+    """Whether the frontend node has been edited."""
+
+    def set_documentation(self, documentation: str) -> None:
+        """Sets the documentation of the frontend node."""
+        self.documentation = documentation
+
+    @field_serializer("base_classes")
+    def process_base_classes(self, base_classes: List[str]) -> List[str]:
+        """Removes unwanted base classes from the list of base classes."""
+
+        sorted_base_classes = sorted(list(set(base_classes)), key=lambda x: x.lower())
+        return sorted_base_classes
+
+    @field_serializer("display_name")
+    def process_display_name(self, display_name: str) -> str:
+        """Sets the display name of the frontend node."""
+
+        return display_name or self.name
+
+    @model_serializer(mode="wrap")
+    def serialize_model(self, handler):
+        result = handler(self)
+        if hasattr(self, "template") and hasattr(self.template, "to_dict"):
+            result["template"] = self.template.to_dict()
+        name = result.pop("name")
+
+        # Migrate base classes to outputs
+        if "output_types" in result and not result.get("outputs"):
+            for base_class in result["output_types"]:
+                output = Output(
+                    display_name=base_class, name=base_class.lower(), types=[base_class], selected=base_class
+                )
+                result["outputs"].append(output.model_dump())
+
+        return {name: result}
+
+    # For backwards compatibility
+    def to_dict(self, add_name=True) -> dict:
+        """Returns a dict representation of the frontend node."""
+        dump = self.model_dump(by_alias=True, exclude_none=True)
+        if not add_name:
+            return dump.pop(self.name)
+        return dump
+
+    def add_extra_fields(self) -> None:
+        pass
+
+    def add_extra_base_classes(self) -> None:
+        pass
+
+    def set_base_classes_from_outputs(self):
+        self.base_classes = [output_type for output in self.outputs for output_type in output.types]
+
+    def validate_component(self) -> None:
+        self.validate_name_overlap()
+        self.validate_attributes()
+
+    def validate_name_overlap(self) -> None:
+        # Check if any of the output names overlap with the any of the inputs
+        output_names = [output.name for output in self.outputs]
+        input_names = [input_.name for input_ in self.template.fields]
+        overlap = set(output_names).intersection(input_names)
+        if overlap:
+            overlap_str = ", ".join(map(lambda x: f"'{x}'", overlap))
+            raise ValueError(
+                f"There should be no overlap between input and output names. Names {overlap_str} are duplicated."
+            )
+
+    def validate_attributes(self) -> None:
+        # None of inputs, outputs, _artifacts, _results, logs, status, vertex, graph, display_name, description, documentation, icon
+        # should be present in outputs or input names
+        output_names = [output.name for output in self.outputs]
+        input_names = [input_.name for input_ in self.template.fields]
+        attributes = [
+            "inputs",
+            "outputs",
+            "_artifacts",
+            "_results",
+            "logs",
+            "status",
+            "vertex",
+            "graph",
+            "display_name",
+            "description",
+            "documentation",
+            "icon",
+        ]
+        output_overlap = set(output_names).intersection(attributes)
+        input_overlap = set(input_names).intersection(attributes)
+        error_message = ""
+        if output_overlap:
+            output_overlap_str = ", ".join(map(lambda x: f"'{x}'", output_overlap))
+            error_message += f"Output names {output_overlap_str} are reserved attributes.\n"
+        if input_overlap:
+            input_overlap_str = ", ".join(map(lambda x: f"'{x}'", input_overlap))
+            error_message += f"Input names {input_overlap_str} are reserved attributes."
+
+    def add_base_class(self, base_class: Union[str, List[str]]) -> None:
+        """Adds a base class to the frontend node."""
+        if isinstance(base_class, str):
+            self.base_classes.append(base_class)
+        elif isinstance(base_class, list):
+            self.base_classes.extend(base_class)
+
+    def add_output_type(self, output_type: Union[str, List[str]]) -> None:
+        """Adds an output type to the frontend node."""
+        if isinstance(output_type, str):
+            self.output_types.append(output_type)
+        elif isinstance(output_type, list):
+            self.output_types.extend(output_type)
+
+    @classmethod
+    def from_inputs(cls, **kwargs):
+        """Create a frontend node from inputs."""
+        if "inputs" not in kwargs:
+            raise ValueError("Missing 'inputs' argument.")
+        inputs = kwargs.pop("inputs")
+        template = Template(type_name="Component", fields=inputs)
+        kwargs["template"] = template
+        return cls(**kwargs)
diff --git a/src/backend/base/langflow/template/frontend_node/constants.py b/src/backend/base/langflow/template/frontend_node/constants.py
new file mode 100644
index 00000000000..513ccd1ef9d
--- /dev/null
+++ b/src/backend/base/langflow/template/frontend_node/constants.py
@@ -0,0 +1,65 @@
+FORCE_SHOW_FIELDS = [
+    "allowed_tools",
+    "memory",
+    "prefix",
+    "examples",
+    "temperature",
+    "model_name",
+    "headers",
+    "max_value_length",
+    "max_tokens",
+    "google_cse_id",
+]
+
+DEFAULT_PROMPT = """
+I want you to act as a naming consultant for new companies.
+
+Here are some examples of good company names:
+
+- search engine, Google
+- social media, Facebook
+- video sharing, YouTube
+
+The name should be short, catchy and easy to remember.
+
+What is a good name for a company that makes {product}?
+"""
+
+SYSTEM_PROMPT = """
+You are a helpful assistant that talks casually about life in general.
+You are a good listener and you can talk about anything.
+"""
+
+HUMAN_PROMPT = "{input}"
+
+QA_CHAIN_TYPES = ["stuff", "map_reduce", "map_rerank", "refine"]
+
+CTRANSFORMERS_DEFAULT_CONFIG = {
+    "top_k": 40,
+    "top_p": 0.95,
+    "temperature": 0.8,
+    "repetition_penalty": 1.1,
+    "last_n_tokens": 64,
+    "seed": -1,
+    "max_new_tokens": 256,
+    "stop": None,
+    "stream": False,
+    "reset": True,
+    "batch_size": 8,
+    "threads": -1,
+    "context_length": -1,
+    "gpu_layers": 0,
+}
+
+# This variable is used to tell the user
+# that it can be changed to use other APIs
+# like Prem and LocalAI
+OPENAI_API_BASE_INFO = """
+The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.
+
+You can change this to use other APIs like JinaChat, LocalAI and Prem.
+"""
+
+
+INPUT_KEY_INFO = """The variable to be used as Chat Input when more than one variable is available."""
+OUTPUT_KEY_INFO = """The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)"""
diff --git a/src/backend/base/langflow/template/frontend_node/custom_components.py b/src/backend/base/langflow/template/frontend_node/custom_components.py
new file mode 100644
index 00000000000..2fd1e9cdf79
--- /dev/null
+++ b/src/backend/base/langflow/template/frontend_node/custom_components.py
@@ -0,0 +1,94 @@
+from typing import Optional
+
+from langflow.template.field.base import Input
+from langflow.template.frontend_node.base import FrontendNode
+from langflow.template.template.base import Template
+
+DEFAULT_CUSTOM_COMPONENT_CODE = """from langflow.custom import CustomComponent
+
+from typing import Optional, List, Dict, Union
+from langflow.field_typing import (
+    AgentExecutor,
+    BaseChatMemory,
+    BaseLanguageModel,
+    BaseLLM,
+    BaseLoader,
+    BaseMemory,
+    BasePromptTemplate,
+    BaseRetriever,
+    Callable,
+    Chain,
+    ChatPromptTemplate,
+    Data,
+    Document,
+    Embeddings,
+    NestedDict,
+    Object,
+    PromptTemplate,
+    TextSplitter,
+    Tool,
+    VectorStore,
+)
+
+
+class Component(CustomComponent):
+    display_name: str = "Custom Component"
+    description: str = "Create any custom component you want!"
+
+    def build_config(self):
+        return {"param": {"display_name": "Parameter"}}
+
+    def build(self, param: Data) -> Data:
+        return param
+
+"""
+
+
+class CustomComponentFrontendNode(FrontendNode):
+    _format_template: bool = False
+    name: str = "CustomComponent"
+    display_name: Optional[str] = "CustomComponent"
+    beta: bool = False
+    template: Template = Template(
+        type_name="CustomComponent",
+        fields=[
+            Input(
+                field_type="code",
+                required=True,
+                placeholder="",
+                is_list=False,
+                show=True,
+                value=DEFAULT_CUSTOM_COMPONENT_CODE,
+                name="code",
+                advanced=False,
+                dynamic=True,
+            )
+        ],
+    )
+    description: Optional[str] = None
+    base_classes: list[str] = []
+
+
+class ComponentFrontendNode(FrontendNode):
+    _format_template: bool = False
+    name: str = "Component"
+    display_name: Optional[str] = "Component"
+    beta: bool = False
+    template: Template = Template(
+        type_name="Component",
+        fields=[
+            Input(
+                field_type="code",
+                required=True,
+                placeholder="",
+                is_list=False,
+                show=True,
+                value=DEFAULT_CUSTOM_COMPONENT_CODE,
+                name="code",
+                advanced=False,
+                dynamic=True,
+            )
+        ],
+    )
+    description: Optional[str] = None
+    base_classes: list[str] = []
diff --git a/tests/__init__.py b/src/backend/base/langflow/template/template/__init__.py
similarity index 100%
rename from tests/__init__.py
rename to src/backend/base/langflow/template/template/__init__.py
diff --git a/src/backend/base/langflow/template/template/base.py b/src/backend/base/langflow/template/template/base.py
new file mode 100644
index 00000000000..7c0c7fa0faf
--- /dev/null
+++ b/src/backend/base/langflow/template/template/base.py
@@ -0,0 +1,67 @@
+from typing import Callable, Union, cast
+
+from pydantic import BaseModel, Field, model_serializer
+
+from langflow.inputs.inputs import InputTypes
+from langflow.template.field.base import Input
+from langflow.utils.constants import DIRECT_TYPES
+
+
+class Template(BaseModel):
+    type_name: str = Field(serialization_alias="_type")
+    fields: list[Union[Input, InputTypes]]
+
+    def process_fields(
+        self,
+        format_field_func: Union[Callable, None] = None,
+    ):
+        if format_field_func:
+            for field in self.fields:
+                format_field_func(field, self.type_name)
+
+    def sort_fields(self):
+        # first sort alphabetically
+        # then sort fields so that fields that have .field_type in DIRECT_TYPES are first
+        self.fields.sort(key=lambda x: x.name)
+        self.fields.sort(
+            key=lambda x: x.field_type in DIRECT_TYPES if hasattr(x, "field_type") else False, reverse=False
+        )
+
+    @model_serializer(mode="wrap")
+    def serialize_model(self, handler):
+        result = handler(self)
+        for field in self.fields:
+            result[field.name] = field.model_dump(by_alias=True, exclude_none=True)
+
+        return result
+
+    # For backwards compatibility
+    def to_dict(self, format_field_func=None):
+        self.process_fields(format_field_func)
+        self.sort_fields()
+        return self.model_dump(by_alias=True, exclude_none=True, exclude={"fields"})
+
+    def add_field(self, field: Input) -> None:
+        self.fields.append(field)
+
+    def get_field(self, field_name: str) -> Input:
+        """Returns the field with the given name."""
+        field = next((field for field in self.fields if field.name == field_name), None)
+        if field is None:
+            raise ValueError(f"Field {field_name} not found in template {self.type_name}")
+        return cast(Input, field)
+
+    def update_field(self, field_name: str, field: Input) -> None:
+        """Updates the field with the given name."""
+        for idx, template_field in enumerate(self.fields):
+            if template_field.name == field_name:
+                self.fields[idx] = field
+                return
+        raise ValueError(f"Field {field_name} not found in template {self.type_name}")
+
+    def upsert_field(self, field_name: str, field: Input) -> None:
+        """Updates the field with the given name or adds it if it doesn't exist."""
+        try:
+            self.update_field(field_name, field)
+        except ValueError:
+            self.add_field(field)
diff --git a/src/backend/base/langflow/template/utils.py b/src/backend/base/langflow/template/utils.py
new file mode 100644
index 00000000000..b436b898744
--- /dev/null
+++ b/src/backend/base/langflow/template/utils.py
@@ -0,0 +1,84 @@
+from pathlib import Path
+
+from platformdirs import user_cache_dir
+
+
+def raw_frontend_data_is_valid(raw_frontend_data):
+    """Check if the raw frontend data is valid for processing."""
+    return "template" in raw_frontend_data and "display_name" in raw_frontend_data
+
+
+def get_file_path_value(file_path):
+    """Get the file path value if the file exists, else return empty string."""
+    try:
+        path = Path(file_path)
+    except TypeError:
+        return ""
+
+    # Check for safety
+    # If the path is not in the cache dir, return empty string
+    # This is to prevent access to files outside the cache dir
+    # If the path is not a file, return empty string
+    if not str(path).startswith(user_cache_dir("langflow", "langflow")):
+        return ""
+
+    if not path.exists():
+        return ""
+    return file_path
+
+
+def update_template_field(frontend_template, key, value_dict):
+    """Updates a specific field in the frontend template."""
+    template_field = frontend_template.get(key)
+    if not template_field or template_field.get("type") != value_dict.get("type"):
+        return
+
+    if "value" in value_dict and value_dict["value"]:
+        template_field["value"] = value_dict["value"]
+
+    if "file_path" in value_dict and value_dict["file_path"]:
+        file_path_value = get_file_path_value(value_dict["file_path"])
+        if not file_path_value:
+            # If the file does not exist, remove the value from the template_field["value"]
+            template_field["value"] = ""
+        template_field["file_path"] = file_path_value
+
+
+def is_valid_data(frontend_node, raw_frontend_data):
+    """Check if the data is valid for processing."""
+
+    return frontend_node and "template" in frontend_node and raw_frontend_data_is_valid(raw_frontend_data)
+
+
+def update_template_values(frontend_template, raw_template):
+    """Updates the frontend template with values from the raw template."""
+    for key, value_dict in raw_template.items():
+        if key == "code" or not isinstance(value_dict, dict):
+            continue
+
+        update_template_field(frontend_template, key, value_dict)
+
+
+def update_frontend_node_with_template_values(frontend_node, raw_frontend_node):
+    """
+    Updates the given frontend node with values from the raw template data.
+
+    :param frontend_node: A dict representing a built frontend node.
+    :param raw_template_data: A dict representing raw template data.
+    :return: Updated frontend node.
+    """
+    if not is_valid_data(frontend_node, raw_frontend_node):
+        return frontend_node
+
+    # Check if the display_name is different than "CustomComponent"
+    # if so, update the display_name in the frontend_node
+    if raw_frontend_node["display_name"] != "CustomComponent":
+        frontend_node["display_name"] = raw_frontend_node["display_name"]
+
+    update_template_values(frontend_node["template"], raw_frontend_node["template"])
+
+    old_code = raw_frontend_node["template"]["code"]["value"]
+    new_code = frontend_node["template"]["code"]["value"]
+    frontend_node["edited"] = old_code != new_code
+
+    return frontend_node
diff --git a/src/frontend/src/modals/NodeModal/components/ModalField/index.tsx b/src/backend/base/langflow/type_extraction/__init__.py
similarity index 100%
rename from src/frontend/src/modals/NodeModal/components/ModalField/index.tsx
rename to src/backend/base/langflow/type_extraction/__init__.py
diff --git a/src/backend/base/langflow/type_extraction/type_extraction.py b/src/backend/base/langflow/type_extraction/type_extraction.py
new file mode 100644
index 00000000000..f22a8eebe1b
--- /dev/null
+++ b/src/backend/base/langflow/type_extraction/type_extraction.py
@@ -0,0 +1,87 @@
+import re
+from types import GenericAlias
+from typing import Any, List, Union
+
+
+def extract_inner_type_from_generic_alias(return_type: GenericAlias) -> Any:
+    """
+    Extracts the inner type from a type hint that is a list or a Optional.
+    """
+    if return_type.__origin__ == list:
+        return list(return_type.__args__)
+    return return_type
+
+
+def extract_inner_type(return_type: str) -> str:
+    """
+    Extracts the inner type from a type hint that is a list.
+    """
+    if match := re.match(r"list\[(.*)\]", return_type, re.IGNORECASE):
+        return match[1]
+    return return_type
+
+
+def extract_union_types(return_type: str) -> list[str]:
+    """
+    Extracts the inner type from a type hint that is a list.
+    """
+    # If the return type is a Union, then we need to parse it
+    return_type = return_type.replace("Union", "").replace("[", "").replace("]", "")
+    return_types = return_type.split(",")
+    return [item.strip() for item in return_types]
+
+
+def extract_uniont_types_from_generic_alias(return_type: GenericAlias) -> list:
+    """
+    Extracts the inner type from a type hint that is a Union.
+    """
+    if isinstance(return_type, list):
+        return [
+            _inner_arg
+            for _type in return_type
+            for _inner_arg in _type.__args__
+            if _inner_arg not in set((Any, type(None), type(Any)))
+        ]
+
+    return list(return_type.__args__)
+
+
+def post_process_type(_type):
+    """
+    Process the return type of a function.
+
+    Args:
+        _type (Any): The return type of the function.
+
+    Returns:
+        Union[List[Any], Any]: The processed return type.
+
+    """
+    if hasattr(_type, "__origin__") and _type.__origin__ in [
+        list,
+        List,
+    ]:
+        _type = extract_inner_type_from_generic_alias(_type)
+
+    # If the return type is not a Union, then we just return it as a list
+    inner_type = _type[0] if isinstance(_type, list) else _type
+    if not hasattr(inner_type, "__origin__") or inner_type.__origin__ != Union:
+        return _type if isinstance(_type, list) else [_type]
+    # If the return type is a Union, then we need to parse it
+    _type = extract_union_types_from_generic_alias(_type)
+    return _type
+
+
+def extract_union_types_from_generic_alias(return_type: GenericAlias) -> list:
+    """
+    Extracts the inner type from a type hint that is a Union.
+    """
+    if isinstance(return_type, list):
+        return [
+            _inner_arg
+            for _type in return_type
+            for _inner_arg in _type.__args__
+            if _inner_arg not in set((Any, type(None), type(Any)))
+        ]
+
+    return list(return_type.__args__)
diff --git a/src/backend/base/langflow/utils/__init__.py b/src/backend/base/langflow/utils/__init__.py
new file mode 100644
index 00000000000..e69de29bb2d
diff --git a/src/backend/base/langflow/utils/constants.py b/src/backend/base/langflow/utils/constants.py
new file mode 100644
index 00000000000..99ac950d3c3
--- /dev/null
+++ b/src/backend/base/langflow/utils/constants.py
@@ -0,0 +1,179 @@
+from typing import Any, Dict, List
+
+OPENAI_MODELS = [
+    "text-davinci-003",
+    "text-davinci-002",
+    "text-curie-001",
+    "text-babbage-001",
+    "text-ada-001",
+]
+CHAT_OPENAI_MODELS = [
+    "gpt-4o",
+    "gpt-4-turbo-preview",
+    "gpt-4-0125-preview",
+    "gpt-4-1106-preview",
+    "gpt-4-vision-preview",
+    "gpt-3.5-turbo-0125",
+    "gpt-3.5-turbo-1106",
+]
+
+
+ANTHROPIC_MODELS = [
+    # largest model, ideal for a wide range of more complex tasks.
+    "claude-v1",
+    # An enhanced version of claude-v1 with a 100,000 token (roughly 75,000 word) context window.
+    "claude-v1-100k",
+    # A smaller model with far lower latency, sampling at roughly 40 words/sec!
+    "claude-instant-v1",
+    # Like claude-instant-v1 with a 100,000 token context window but retains its performance.
+    "claude-instant-v1-100k",
+    # Specific sub-versions of the above models:
+    # Vs claude-v1.2: better instruction-following, code, and non-English dialogue and writing.
+    "claude-v1.3",
+    # An enhanced version of claude-v1.3 with a 100,000 token (roughly 75,000 word) context window.
+    "claude-v1.3-100k",
+    # Vs claude-v1.1: small adv in general helpfulness, instruction following, coding, and other tasks.
+    "claude-v1.2",
+    # An earlier version of claude-v1.
+    "claude-v1.0",
+    # Latest version of claude-instant-v1. Better than claude-instant-v1.0 at most tasks.
+    "claude-instant-v1.1",
+    # Version of claude-instant-v1.1 with a 100K token context window.
+    "claude-instant-v1.1-100k",
+    # An earlier version of claude-instant-v1.
+    "claude-instant-v1.0",
+]
+
+DEFAULT_PYTHON_FUNCTION = """
+def python_function(text: str) -> str:
+    \"\"\"This is a default python function that returns the input text\"\"\"
+    return text
+"""
+
+
+PYTHON_BASIC_TYPES = [str, bool, int, float, tuple, list, dict, set]
+DIRECT_TYPES = [
+    "str",
+    "bool",
+    "dict",
+    "int",
+    "float",
+    "Any",
+    "prompt",
+    "code",
+    "NestedDict",
+]
+
+
+LOADERS_INFO: List[Dict[str, Any]] = [
+    {
+        "loader": "AirbyteJSONLoader",
+        "name": "Airbyte JSON (.jsonl)",
+        "import": "langchain_community.document_loaders.AirbyteJSONLoader",
+        "defaultFor": ["jsonl"],
+        "allowdTypes": ["jsonl"],
+    },
+    {
+        "loader": "JSONLoader",
+        "name": "JSON (.json)",
+        "import": "langchain_community.document_loaders.JSONLoader",
+        "defaultFor": ["json"],
+        "allowdTypes": ["json"],
+    },
+    {
+        "loader": "BSHTMLLoader",
+        "name": "BeautifulSoup4 HTML (.html, .htm)",
+        "import": "langchain_community.document_loaders.BSHTMLLoader",
+        "allowdTypes": ["html", "htm"],
+    },
+    {
+        "loader": "CSVLoader",
+        "name": "CSV (.csv)",
+        "import": "langchain_community.document_loaders.CSVLoader",
+        "defaultFor": ["csv"],
+        "allowdTypes": ["csv"],
+    },
+    {
+        "loader": "CoNLLULoader",
+        "name": "CoNLL-U (.conllu)",
+        "import": "langchain_community.document_loaders.CoNLLULoader",
+        "defaultFor": ["conllu"],
+        "allowdTypes": ["conllu"],
+    },
+    {
+        "loader": "EverNoteLoader",
+        "name": "EverNote (.enex)",
+        "import": "langchain_community.document_loaders.EverNoteLoader",
+        "defaultFor": ["enex"],
+        "allowdTypes": ["enex"],
+    },
+    {
+        "loader": "FacebookChatLoader",
+        "name": "Facebook Chat (.json)",
+        "import": "langchain_community.document_loaders.FacebookChatLoader",
+        "allowdTypes": ["json"],
+    },
+    {
+        "loader": "OutlookMessageLoader",
+        "name": "Outlook Message (.msg)",
+        "import": "langchain_community.document_loaders.OutlookMessageLoader",
+        "defaultFor": ["msg"],
+        "allowdTypes": ["msg"],
+    },
+    {
+        "loader": "PyPDFLoader",
+        "name": "PyPDF (.pdf)",
+        "import": "langchain_community.document_loaders.PyPDFLoader",
+        "defaultFor": ["pdf"],
+        "allowdTypes": ["pdf"],
+    },
+    {
+        "loader": "STRLoader",
+        "name": "Subtitle (.str)",
+        "import": "langchain_community.document_loaders.STRLoader",
+        "defaultFor": ["str"],
+        "allowdTypes": ["str"],
+    },
+    {
+        "loader": "TextLoader",
+        "name": "Text (.txt)",
+        "import": "langchain_community.document_loaders.TextLoader",
+        "defaultFor": ["txt"],
+        "allowdTypes": ["txt"],
+    },
+    {
+        "loader": "UnstructuredEmailLoader",
+        "name": "Unstructured Email (.eml)",
+        "import": "langchain_community.document_loaders.UnstructuredEmailLoader",
+        "defaultFor": ["eml"],
+        "allowdTypes": ["eml"],
+    },
+    {
+        "loader": "UnstructuredHTMLLoader",
+        "name": "Unstructured HTML (.html, .htm)",
+        "import": "langchain_community.document_loaders.UnstructuredHTMLLoader",
+        "defaultFor": ["html", "htm"],
+        "allowdTypes": ["html", "htm"],
+    },
+    {
+        "loader": "UnstructuredMarkdownLoader",
+        "name": "Unstructured Markdown (.md)",
+        "import": "langchain_community.document_loaders.UnstructuredMarkdownLoader",
+        "defaultFor": ["md", "mdx"],
+        "allowdTypes": ["md", "mdx"],
+    },
+    {
+        "loader": "UnstructuredPowerPointLoader",
+        "name": "Unstructured PowerPoint (.pptx)",
+        "import": "langchain_community.document_loaders.UnstructuredPowerPointLoader",
+        "defaultFor": ["pptx"],
+        "allowdTypes": ["pptx"],
+    },
+    {
+        "loader": "UnstructuredWordLoader",
+        "name": "Unstructured Word (.docx)",
+        "import": "langchain_community.document_loaders.UnstructuredWordLoader",
+        "defaultFor": ["docx"],
+        "allowdTypes": ["docx"],
+    },
+]
diff --git a/src/backend/langflow/utils/lazy_load.py b/src/backend/base/langflow/utils/lazy_load.py
similarity index 100%
rename from src/backend/langflow/utils/lazy_load.py
rename to src/backend/base/langflow/utils/lazy_load.py
diff --git a/src/backend/base/langflow/utils/logger.py b/src/backend/base/langflow/utils/logger.py
new file mode 100644
index 00000000000..48783710a6f
--- /dev/null
+++ b/src/backend/base/langflow/utils/logger.py
@@ -0,0 +1,111 @@
+import logging
+import os
+from pathlib import Path
+from typing import Optional
+
+import orjson
+from loguru import logger
+from platformdirs import user_cache_dir
+from rich.logging import RichHandler
+
+VALID_LOG_LEVELS = ["DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"]
+
+
+def serialize(record):
+    subset = {
+        "timestamp": record["time"].timestamp(),
+        "message": record["message"],
+        "level": record["level"].name,
+        "module": record["module"],
+    }
+    return orjson.dumps(subset)
+
+
+def patching(record):
+    record["extra"]["serialized"] = serialize(record)
+
+
+def configure(log_level: Optional[str] = None, log_file: Optional[Path] = None, disable: Optional[bool] = False):
+    if disable and log_level is None and log_file is None:
+        logger.disable("langflow")
+    if os.getenv("LANGFLOW_LOG_LEVEL", "").upper() in VALID_LOG_LEVELS and log_level is None:
+        log_level = os.getenv("LANGFLOW_LOG_LEVEL")
+    if log_level is None:
+        log_level = "ERROR"
+    # Human-readable
+    log_format = (
+        "<green>{time:YYYY-MM-DD HH:mm:ss}</green> - <level>"
+        "{level: <8}</level> - {module} - <level>{message}</level>"
+    )
+
+    # log_format = log_format_dev if log_level.upper() == "DEBUG" else log_format_prod
+    logger.remove()  # Remove default handlers
+    logger.patch(patching)
+    # Configure loguru to use RichHandler
+    logger.configure(
+        handlers=[
+            {
+                "sink": RichHandler(rich_tracebacks=True, markup=True),
+                "format": log_format,
+                "level": log_level.upper(),
+            }
+        ]
+    )
+
+    if not log_file:
+        cache_dir = Path(user_cache_dir("langflow"))
+        logger.debug(f"Cache directory: {cache_dir}")
+        log_file = cache_dir / "langflow.log"
+        logger.debug(f"Log file: {log_file}")
+    try:
+        log_file = Path(log_file)
+        log_file.parent.mkdir(parents=True, exist_ok=True)
+
+        logger.add(
+            sink=str(log_file),
+            level=log_level.upper(),
+            format=log_format,
+            rotation="10 MB",  # Log rotation based on file size
+            serialize=True,
+        )
+    except Exception as exc:
+        logger.error(f"Error setting up log file: {exc}")
+
+    logger.debug(f"Logger set up with log level: {log_level}")
+
+    setup_uvicorn_logger()
+    setup_gunicorn_logger()
+
+
+def setup_uvicorn_logger():
+    loggers = (logging.getLogger(name) for name in logging.root.manager.loggerDict if name.startswith("uvicorn."))
+    for uvicorn_logger in loggers:
+        uvicorn_logger.handlers = []
+    logging.getLogger("uvicorn").handlers = [InterceptHandler()]
+
+
+def setup_gunicorn_logger():
+    logging.getLogger("gunicorn.error").handlers = [InterceptHandler()]
+    logging.getLogger("gunicorn.access").handlers = [InterceptHandler()]
+
+
+class InterceptHandler(logging.Handler):
+    """
+    Default handler from examples in loguru documentaion.
+    See https://loguru.readthedocs.io/en/stable/overview.html#entirely-compatible-with-standard-logging
+    """
+
+    def emit(self, record):
+        # Get corresponding Loguru level if it exists
+        try:
+            level = logger.level(record.levelname).name
+        except ValueError:
+            level = record.levelno
+
+        # Find caller from where originated the logged message
+        frame, depth = logging.currentframe(), 2
+        while frame.f_code.co_filename == logging.__file__:
+            frame = frame.f_back
+            depth += 1
+
+        logger.opt(depth=depth, exception=record.exc_info).log(level, record.getMessage())
diff --git a/src/backend/base/langflow/utils/migration.py b/src/backend/base/langflow/utils/migration.py
new file mode 100644
index 00000000000..b85522c5b15
--- /dev/null
+++ b/src/backend/base/langflow/utils/migration.py
@@ -0,0 +1,65 @@
+from sqlalchemy.engine.reflection import Inspector
+
+
+def table_exists(name, conn):
+    """
+    Check if a table exists.
+
+    Parameters:
+    name (str): The name of the table to check.
+    conn (sqlalchemy.engine.Engine or sqlalchemy.engine.Connection): The SQLAlchemy engine or connection to use.
+
+    Returns:
+    bool: True if the table exists, False otherwise.
+    """
+    inspector = Inspector.from_engine(conn)
+    return name in inspector.get_table_names()
+
+
+def column_exists(table_name, column_name, conn):
+    """
+    Check if a column exists in a table.
+
+    Parameters:
+    table_name (str): The name of the table to check.
+    column_name (str): The name of the column to check.
+    conn (sqlalchemy.engine.Engine or sqlalchemy.engine.Connection): The SQLAlchemy engine or connection to use.
+
+    Returns:
+    bool: True if the column exists, False otherwise.
+    """
+    inspector = Inspector.from_engine(conn)
+    return column_name in [column["name"] for column in inspector.get_columns(table_name)]
+
+
+def foreign_key_exists(table_name, fk_name, conn):
+    """
+    Check if a foreign key exists in a table.
+
+    Parameters:
+    table_name (str): The name of the table to check.
+    fk_name (str): The name of the foreign key to check.
+    conn (sqlalchemy.engine.Engine or sqlalchemy.engine.Connection): The SQLAlchemy engine or connection to use.
+
+    Returns:
+    bool: True if the foreign key exists, False otherwise.
+    """
+    inspector = Inspector.from_engine(conn)
+    return fk_name in [fk["name"] for fk in inspector.get_foreign_keys(table_name)]
+
+
+def constraint_exists(table_name, constraint_name, conn):
+    """
+    Check if a constraint exists in a table.
+
+    Parameters:
+    table_name (str): The name of the table to check.
+    constraint_name (str): The name of the constraint to check.
+    conn (sqlalchemy.engine.Engine or sqlalchemy.engine.Connection): The SQLAlchemy engine or connection to use.
+
+    Returns:
+    bool: True if the constraint exists, False otherwise.
+    """
+    inspector = Inspector.from_engine(conn)
+    constraints = inspector.get_unique_constraints(table_name)
+    return constraint_name in [constraint["name"] for constraint in constraints]
diff --git a/src/backend/langflow/utils/payload.py b/src/backend/base/langflow/utils/payload.py
similarity index 100%
rename from src/backend/langflow/utils/payload.py
rename to src/backend/base/langflow/utils/payload.py
diff --git a/src/backend/base/langflow/utils/schemas.py b/src/backend/base/langflow/utils/schemas.py
new file mode 100644
index 00000000000..344a526325c
--- /dev/null
+++ b/src/backend/base/langflow/utils/schemas.py
@@ -0,0 +1,113 @@
+import enum
+from typing import Dict, List, Optional, Union
+
+from langchain_core.messages import BaseMessage
+from pydantic import BaseModel, field_validator, model_validator
+from typing_extensions import TypedDict
+
+from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES
+
+
+class File(TypedDict):
+    """File schema."""
+
+    path: str
+    name: str
+    type: str
+
+
+class ChatOutputResponse(BaseModel):
+    """Chat output response schema."""
+
+    message: Union[str, List[Union[str, Dict]]]
+    sender: Optional[str] = "Machine"
+    sender_name: Optional[str] = "AI"
+    session_id: Optional[str] = None
+    stream_url: Optional[str] = None
+    component_id: Optional[str] = None
+    files: List[File] = []
+    type: str
+
+    @field_validator("files", mode="before")
+    def validate_files(cls, files):
+        """Validate files."""
+        if not files:
+            return files
+
+        for file in files:
+            if not isinstance(file, dict):
+                raise ValueError("Files must be a list of dictionaries.")
+
+            if not all(key in file for key in ["path", "name", "type"]):
+                # If any of the keys are missing, we should extract the
+                # values from the file path
+                path = file.get("path")
+                if not path:
+                    raise ValueError("File path is required.")
+
+                name = file.get("name")
+                if not name:
+                    name = path.split("/")[-1]
+                    file["name"] = name
+                _type = file.get("type")
+                if not _type:
+                    # get the file type from the path
+                    extension = path.split(".")[-1]
+                    file_types = set(TEXT_FILE_TYPES + IMG_FILE_TYPES)
+                    if extension and extension in file_types:
+                        _type = extension
+                    else:
+                        for file_type in file_types:
+                            if file_type in path:
+                                _type = file_type
+                                break
+                    if not _type:
+                        raise ValueError("File type is required.")
+                file["type"] = _type
+
+        return files
+
+    @classmethod
+    def from_message(
+        cls,
+        message: BaseMessage,
+        sender: Optional[str] = "Machine",
+        sender_name: Optional[str] = "AI",
+    ):
+        """Build chat output response from message."""
+        content = message.content
+        return cls(message=content, sender=sender, sender_name=sender_name)  # type: ignore
+
+    @model_validator(mode="after")
+    def validate_message(self):
+        """Validate message."""
+        # The idea here is ensure the \n in message
+        # is compliant with markdown if sender is machine
+        # so, for example:
+        # \n\n -> \n\n
+        # \n -> \n\n
+
+        if self.sender != "Machine":
+            return self
+
+        # We need to make sure we don't duplicate \n
+        # in the message
+        message = self.message.replace("\n\n", "\n")
+        self.message = message.replace("\n", "\n\n")
+        return self
+
+
+class DataOutputResponse(BaseModel):
+    """Data output response schema."""
+
+    data: List[Optional[Dict]]
+
+
+class ContainsEnumMeta(enum.EnumMeta):
+    def __contains__(cls, item):
+        try:
+            cls(item)
+        except ValueError:
+            return False
+        else:
+            return True
diff --git a/src/backend/base/langflow/utils/util.py b/src/backend/base/langflow/utils/util.py
new file mode 100644
index 00000000000..d58fdc4f870
--- /dev/null
+++ b/src/backend/base/langflow/utils/util.py
@@ -0,0 +1,458 @@
+import importlib
+import inspect
+import re
+from functools import wraps
+from pathlib import Path
+from typing import Any, Dict, List, Optional, Union
+
+from docstring_parser import parse
+
+from langflow.schema import Data
+from langflow.services.deps import get_settings_service
+from langflow.template.frontend_node.constants import FORCE_SHOW_FIELDS
+from langflow.utils import constants
+from langflow.utils.logger import logger
+
+
+def unescape_string(s: str):
+    # Replace escaped new line characters with actual new line characters
+    return s.replace("\\n", "\n")
+
+
+def remove_ansi_escape_codes(text):
+    return re.sub(r"\x1b\[[0-9;]*[a-zA-Z]", "", text)
+
+
+def build_template_from_function(name: str, type_to_loader_dict: Dict, add_function: bool = False):
+    classes = [item.__annotations__["return"].__name__ for item in type_to_loader_dict.values()]
+
+    # Raise error if name is not in chains
+    if name not in classes:
+        raise ValueError(f"{name} not found")
+
+    for _type, v in type_to_loader_dict.items():
+        if v.__annotations__["return"].__name__ == name:
+            _class = v.__annotations__["return"]
+
+            # Get the docstring
+            docs = parse(_class.__doc__)
+
+            variables = {"_type": _type}
+            for class_field_items, value in _class.model_fields.items():
+                if class_field_items in ["callback_manager"]:
+                    continue
+                variables[class_field_items] = {}
+                for name_, value_ in value.__repr_args__():
+                    if name_ == "default_factory":
+                        try:
+                            variables[class_field_items]["default"] = get_default_factory(
+                                module=_class.__base__.__module__, function=value_
+                            )
+                        except Exception:
+                            variables[class_field_items]["default"] = None
+                    elif name_ not in ["name"]:
+                        variables[class_field_items][name_] = value_
+
+                variables[class_field_items]["placeholder"] = (
+                    docs.params[class_field_items] if class_field_items in docs.params else ""
+                )
+            # Adding function to base classes to allow
+            # the output to be a function
+            base_classes = get_base_classes(_class)
+            if add_function:
+                base_classes.append("Callable")
+
+            return {
+                "template": format_dict(variables, name),
+                "description": docs.short_description or "",
+                "base_classes": base_classes,
+            }
+
+
+def build_template_from_method(
+    class_name: str,
+    method_name: str,
+    type_to_cls_dict: Dict,
+    add_function: bool = False,
+):
+    classes = [item.__name__ for item in type_to_cls_dict.values()]
+
+    # Raise error if class_name is not in classes
+    if class_name not in classes:
+        raise ValueError(f"{class_name} not found.")
+
+    for _type, v in type_to_cls_dict.items():
+        if v.__name__ == class_name:
+            _class = v
+
+            # Check if the method exists in this class
+            if not hasattr(_class, method_name):
+                raise ValueError(f"Method {method_name} not found in class {class_name}")
+
+            # Get the method
+            method = getattr(_class, method_name)
+
+            # Get the docstring
+            docs = parse(method.__doc__)
+
+            # Get the signature of the method
+            sig = inspect.signature(method)
+
+            # Get the parameters of the method
+            params = sig.parameters
+
+            # Initialize the variables dictionary with method parameters
+            variables = {
+                "_type": _type,
+                **{
+                    name: {
+                        "default": (param.default if param.default != param.empty else None),
+                        "type": (param.annotation if param.annotation != param.empty else None),
+                        "required": param.default == param.empty,
+                    }
+                    for name, param in params.items()
+                    if name not in ["self", "kwargs", "args"]
+                },
+            }
+
+            base_classes = get_base_classes(_class)
+
+            # Adding function to base classes to allow the output to be a function
+            if add_function:
+                base_classes.append("Callable")
+
+            return {
+                "template": format_dict(variables, class_name),
+                "description": docs.short_description or "",
+                "base_classes": base_classes,
+            }
+
+
+def get_base_classes(cls):
+    """Get the base classes of a class.
+    These are used to determine the output of the nodes.
+    """
+
+    if hasattr(cls, "__bases__") and cls.__bases__:
+        bases = cls.__bases__
+        result = []
+        for base in bases:
+            if any(type in base.__module__ for type in ["pydantic", "abc"]):
+                continue
+            result.append(base.__name__)
+            base_classes = get_base_classes(base)
+            # check if the base_classes are in the result
+            # if not, add them
+            for base_class in base_classes:
+                if base_class not in result:
+                    result.append(base_class)
+    else:
+        result = [cls.__name__]
+    if not result:
+        result = [cls.__name__]
+    return list(set(result + [cls.__name__]))
+
+
+def get_default_factory(module: str, function: str):
+    pattern = r"<function (\w+)>"
+
+    if match := re.search(pattern, function):
+        imported_module = importlib.import_module(module)
+        return getattr(imported_module, match[1])()
+    return None
+
+
+def update_verbose(d: dict, new_value: bool) -> dict:
+    """
+    Recursively updates the value of the 'verbose' key in a dictionary.
+
+    Args:
+        d: the dictionary to update
+        new_value: the new value to set
+
+    Returns:
+        The updated dictionary.
+    """
+
+    for k, v in d.items():
+        if isinstance(v, dict):
+            update_verbose(v, new_value)
+        elif k == "verbose":
+            d[k] = new_value
+    return d
+
+
+def sync_to_async(func):
+    """
+    Decorator to convert a sync function to an async function.
+    """
+
+    @wraps(func)
+    async def async_wrapper(*args, **kwargs):
+        return func(*args, **kwargs)
+
+    return async_wrapper
+
+
+def format_dict(dictionary: Dict[str, Any], class_name: Optional[str] = None) -> Dict[str, Any]:
+    """
+    Formats a dictionary by removing certain keys and modifying the
+    values of other keys.
+
+    Returns:
+        A new dictionary with the desired modifications applied.
+    """
+
+    for key, value in dictionary.items():
+        if key in ["_type"]:
+            continue
+
+        _type: Union[str, type] = get_type(value)
+
+        if "BaseModel" in str(_type):
+            continue
+
+        _type = remove_optional_wrapper(_type)
+        _type = check_list_type(_type, value)
+        _type = replace_mapping_with_dict(_type)
+        _type = get_type_from_union_literal(_type)
+
+        value["type"] = get_formatted_type(key, _type)
+        value["show"] = should_show_field(value, key)
+        value["password"] = is_password_field(key)
+        value["multiline"] = is_multiline_field(key)
+
+        if key == "dict_":
+            set_dict_file_attributes(value)
+
+        replace_default_value_with_actual(value)
+
+        if key == "headers":
+            set_headers_value(value)
+
+        add_options_to_field(value, class_name, key)
+
+    return dictionary
+
+
+# "Union[Literal['f-string'], Literal['jinja2']]" -> "str"
+def get_type_from_union_literal(union_literal: str) -> str:
+    # if types are literal strings
+    # the type is a string
+    if "Literal" in union_literal:
+        return "str"
+    return union_literal
+
+
+def get_type(value: Any) -> Union[str, type]:
+    """
+    Retrieves the type value from the dictionary.
+
+    Returns:
+        The type value.
+    """
+    # get "type" or "annotation" from the value
+    _type = value.get("type") or value.get("annotation")
+
+    return _type if isinstance(_type, str) else _type.__name__
+
+
+def remove_optional_wrapper(_type: Union[str, type]) -> str:
+    """
+    Removes the 'Optional' wrapper from the type string.
+
+    Returns:
+        The type string with the 'Optional' wrapper removed.
+    """
+    if isinstance(_type, type):
+        _type = str(_type)
+    if "Optional" in _type:
+        _type = _type.replace("Optional[", "")[:-1]
+
+    return _type
+
+
+def check_list_type(_type: str, value: Dict[str, Any]) -> str:
+    """
+    Checks if the type is a list type and modifies the value accordingly.
+
+    Returns:
+        The modified type string.
+    """
+    if any(list_type in _type for list_type in ["List", "Sequence", "Set"]):
+        _type = _type.replace("List[", "").replace("Sequence[", "").replace("Set[", "")[:-1]
+        value["list"] = True
+    else:
+        value["list"] = False
+
+    return _type
+
+
+def replace_mapping_with_dict(_type: str) -> str:
+    """
+    Replaces 'Mapping' with 'dict' in the type string.
+
+    Returns:
+        The modified type string.
+    """
+    if "Mapping" in _type:
+        _type = _type.replace("Mapping", "dict")
+
+    return _type
+
+
+def get_formatted_type(key: str, _type: str) -> str:
+    """
+    Formats the type value based on the given key.
+
+    Returns:
+        The formatted type value.
+    """
+    if key == "allowed_tools":
+        return "Tool"
+
+    elif key == "max_value_length":
+        return "int"
+
+    return _type
+
+
+def should_show_field(value: Dict[str, Any], key: str) -> bool:
+    """
+    Determines if the field should be shown or not.
+
+    Returns:
+        True if the field should be shown, False otherwise.
+    """
+    return (
+        (value["required"] and key != "input_variables")
+        or key in FORCE_SHOW_FIELDS
+        or any(text in key.lower() for text in ["password", "token", "api", "key"])
+    )
+
+
+def is_password_field(key: str) -> bool:
+    """
+    Determines if the field is a password field.
+
+    Returns:
+        True if the field is a password field, False otherwise.
+    """
+    return any(text in key.lower() for text in ["password", "token", "api", "key"])
+
+
+def is_multiline_field(key: str) -> bool:
+    """
+    Determines if the field is a multiline field.
+
+    Returns:
+        True if the field is a multiline field, False otherwise.
+    """
+    return key in {
+        "suffix",
+        "prefix",
+        "template",
+        "examples",
+        "code",
+        "headers",
+        "format_instructions",
+    }
+
+
+def set_dict_file_attributes(value: Dict[str, Any]) -> None:
+    """
+    Sets the file attributes for the 'dict_' key.
+    """
+    value["type"] = "file"
+    value["fileTypes"] = [".json", ".yaml", ".yml"]
+
+
+def replace_default_value_with_actual(value: Dict[str, Any]) -> None:
+    """
+    Replaces the default value with the actual value.
+    """
+    if "default" in value:
+        value["value"] = value["default"]
+        value.pop("default")
+
+
+def set_headers_value(value: Dict[str, Any]) -> None:
+    """
+    Sets the value for the 'headers' key.
+    """
+    value["value"] = """{"Authorization": "Bearer <token>"}"""
+
+
+def add_options_to_field(value: Dict[str, Any], class_name: Optional[str], key: str) -> None:
+    """
+    Adds options to the field based on the class name and key.
+    """
+    options_map = {
+        "OpenAI": constants.OPENAI_MODELS,
+        "ChatOpenAI": constants.CHAT_OPENAI_MODELS,
+        "Anthropic": constants.ANTHROPIC_MODELS,
+        "ChatAnthropic": constants.ANTHROPIC_MODELS,
+    }
+
+    if class_name in options_map and key == "model_name":
+        value["options"] = options_map[class_name]
+        value["list"] = True
+        value["value"] = options_map[class_name][0]
+
+
+def build_loader_repr_from_data(data: List[Data]) -> str:
+    """
+    Builds a string representation of the loader based on the given data.
+
+    Args:
+        data (List[Data]): A list of data.
+
+    Returns:
+        str: A string representation of the loader.
+
+    """
+    if data:
+        avg_length = sum(len(doc.text) for doc in data) / len(data)
+        return f"""{len(data)} data
+        \nAvg. Data Length (characters): {int(avg_length)}
+        Data: {data[:3]}..."""
+    return "0 data"
+
+
+def update_settings(
+    config: Optional[str] = None,
+    cache: Optional[str] = None,
+    dev: bool = False,
+    remove_api_keys: bool = False,
+    components_path: Optional[Path] = None,
+    store: bool = True,
+):
+    """Update the settings from a config file."""
+    from langflow.services.utils import initialize_settings_service
+
+    # Check for database_url in the environment variables
+
+    initialize_settings_service()
+    settings_service = get_settings_service()
+    if config:
+        logger.debug(f"Loading settings from {config}")
+        settings_service.settings.update_from_yaml(config, dev=dev)
+    if remove_api_keys:
+        logger.debug(f"Setting remove_api_keys to {remove_api_keys}")
+        settings_service.settings.update_settings(remove_api_keys=remove_api_keys)
+    if cache:
+        logger.debug(f"Setting cache to {cache}")
+        settings_service.settings.update_settings(cache=cache)
+    if components_path:
+        logger.debug(f"Adding component path {components_path}")
+        settings_service.settings.update_settings(components_path=components_path)
+    if not store:
+        logger.debug("Setting store to False")
+        settings_service.settings.update_settings(store=False)
+
+
+def is_class_method(func, cls):
+    """
+    Check if a function is a class method.
+    """
+    return inspect.ismethod(func) and func.__self__ is cls.__class__
diff --git a/src/backend/base/langflow/utils/validate.py b/src/backend/base/langflow/utils/validate.py
new file mode 100644
index 00000000000..d3edef561ac
--- /dev/null
+++ b/src/backend/base/langflow/utils/validate.py
@@ -0,0 +1,310 @@
+import ast
+import contextlib
+import importlib
+from types import FunctionType
+from typing import Dict, List, Optional, Union
+
+from langflow.field_typing.constants import CUSTOM_COMPONENT_SUPPORTED_TYPES
+
+
+def add_type_ignores():
+    if not hasattr(ast, "TypeIgnore"):
+
+        class TypeIgnore(ast.AST):
+            _fields = ()
+
+        ast.TypeIgnore = TypeIgnore
+
+
+def validate_code(code):
+    # Initialize the errors dictionary
+    errors = {"imports": {"errors": []}, "function": {"errors": []}}
+
+    # Parse the code string into an abstract syntax tree (AST)
+    try:
+        tree = ast.parse(code)
+    except Exception as e:
+        errors["function"]["errors"].append(str(e))
+        return errors
+
+    # Add a dummy type_ignores field to the AST
+    add_type_ignores()
+    tree.type_ignores = []
+
+    # Evaluate the import statements
+    for node in tree.body:
+        if isinstance(node, ast.Import):
+            for alias in node.names:
+                try:
+                    importlib.import_module(alias.name)
+                except ModuleNotFoundError as e:
+                    errors["imports"]["errors"].append(str(e))
+
+    # Evaluate the function definition
+    for node in tree.body:
+        if isinstance(node, ast.FunctionDef):
+            code_obj = compile(ast.Module(body=[node], type_ignores=[]), "<string>", "exec")
+            try:
+                exec(code_obj)
+            except Exception as e:
+                errors["function"]["errors"].append(str(e))
+
+    # Return the errors dictionary
+    return errors
+
+
+def eval_function(function_string: str):
+    # Create an empty dictionary to serve as a separate namespace
+    namespace: Dict = {}
+
+    # Execute the code string in the new namespace
+    exec(function_string, namespace)
+    function_object = next(
+        (
+            obj
+            for name, obj in namespace.items()
+            if isinstance(obj, FunctionType) and obj.__code__.co_filename == "<string>"
+        ),
+        None,
+    )
+    if function_object is None:
+        raise ValueError("Function string does not contain a function")
+    return function_object
+
+
+def execute_function(code, function_name, *args, **kwargs):
+    add_type_ignores()
+
+    module = ast.parse(code)
+    exec_globals = globals().copy()
+
+    for node in module.body:
+        if isinstance(node, ast.Import):
+            for alias in node.names:
+                try:
+                    exec(
+                        f"{alias.asname or alias.name} = importlib.import_module('{alias.name}')",
+                        exec_globals,
+                        locals(),
+                    )
+                    exec_globals[alias.asname or alias.name] = importlib.import_module(alias.name)
+                except ModuleNotFoundError as e:
+                    raise ModuleNotFoundError(f"Module {alias.name} not found. Please install it and try again.") from e
+
+    function_code = next(
+        node for node in module.body if isinstance(node, ast.FunctionDef) and node.name == function_name
+    )
+    function_code.parent = None
+    code_obj = compile(ast.Module(body=[function_code], type_ignores=[]), "<string>", "exec")
+    try:
+        exec(code_obj, exec_globals, locals())
+    except Exception as exc:
+        raise ValueError("Function string does not contain a function") from exc
+
+    # Add the function to the exec_globals dictionary
+    exec_globals[function_name] = locals()[function_name]
+
+    return exec_globals[function_name](*args, **kwargs)
+
+
+def create_function(code, function_name):
+    if not hasattr(ast, "TypeIgnore"):
+
+        class TypeIgnore(ast.AST):
+            _fields = ()
+
+        ast.TypeIgnore = TypeIgnore
+
+    module = ast.parse(code)
+    exec_globals = globals().copy()
+
+    for node in module.body:
+        if isinstance(node, ast.Import):
+            for alias in node.names:
+                try:
+                    exec_globals[alias.asname or alias.name] = importlib.import_module(alias.name)
+                except ModuleNotFoundError as e:
+                    raise ModuleNotFoundError(f"Module {alias.name} not found. Please install it and try again.") from e
+
+    function_code = next(
+        node for node in module.body if isinstance(node, ast.FunctionDef) and node.name == function_name
+    )
+    function_code.parent = None
+    code_obj = compile(ast.Module(body=[function_code], type_ignores=[]), "<string>", "exec")
+    with contextlib.suppress(Exception):
+        exec(code_obj, exec_globals, locals())
+    exec_globals[function_name] = locals()[function_name]
+
+    # Return a function that imports necessary modules and calls the target function
+    def wrapped_function(*args, **kwargs):
+        for module_name, module in exec_globals.items():
+            if isinstance(module, type(importlib)):
+                globals()[module_name] = module
+
+        return exec_globals[function_name](*args, **kwargs)
+
+    return wrapped_function
+
+
+def create_class(code, class_name):
+    """
+    Dynamically create a class from a string of code and a specified class name.
+
+    :param code: String containing the Python code defining the class
+    :param class_name: Name of the class to be created
+    :return: A function that, when called, returns an instance of the created class
+    """
+    if not hasattr(ast, "TypeIgnore"):
+        ast.TypeIgnore = create_type_ignore_class()
+
+    # Replace from langflow import CustomComponent with from langflow.custom import CustomComponent
+    code = code.replace("from langflow import CustomComponent", "from langflow.custom import CustomComponent")
+    code = code.replace(
+        "from langflow.interface.custom.custom_component import CustomComponent",
+        "from langflow.custom import CustomComponent",
+    )
+    module = ast.parse(code)
+    exec_globals = prepare_global_scope(code, module)
+
+    class_code = extract_class_code(module, class_name)
+    compiled_class = compile_class_code(class_code)
+
+    return build_class_constructor(compiled_class, exec_globals, class_name)
+
+
+def create_type_ignore_class():
+    """
+    Create a TypeIgnore class for AST module if it doesn't exist.
+
+    :return: TypeIgnore class
+    """
+
+    class TypeIgnore(ast.AST):
+        _fields = ()
+
+    return TypeIgnore
+
+
+def prepare_global_scope(code, module):
+    """
+    Prepares the global scope with necessary imports from the provided code module.
+
+    :param module: AST parsed module
+    :return: Dictionary representing the global scope with imported modules
+    """
+    exec_globals = globals().copy()
+    exec_globals.update(get_default_imports(code))
+    for node in module.body:
+        if isinstance(node, ast.Import):
+            for alias in node.names:
+                try:
+                    exec_globals[alias.asname or alias.name] = importlib.import_module(alias.name)
+                except ModuleNotFoundError as e:
+                    raise ModuleNotFoundError(f"Module {alias.name} not found. Please install it and try again.") from e
+        elif isinstance(node, ast.ImportFrom) and node.module is not None:
+            try:
+                imported_module = importlib.import_module(node.module)
+                for alias in node.names:
+                    exec_globals[alias.name] = getattr(imported_module, alias.name)
+            except ModuleNotFoundError:
+                raise ModuleNotFoundError(f"Module {node.module} not found. Please install it and try again")
+    return exec_globals
+
+
+def extract_class_code(module, class_name):
+    """
+    Extracts the AST node for the specified class from the module.
+
+    :param module: AST parsed module
+    :param class_name: Name of the class to extract
+    :return: AST node of the specified class
+    """
+    class_code = next(node for node in module.body if isinstance(node, ast.ClassDef) and node.name == class_name)
+
+    class_code.parent = None
+    return class_code
+
+
+def compile_class_code(class_code):
+    """
+    Compiles the AST node of a class into a code object.
+
+    :param class_code: AST node of the class
+    :return: Compiled code object of the class
+    """
+    code_obj = compile(ast.Module(body=[class_code], type_ignores=[]), "<string>", "exec")
+    return code_obj
+
+
+def build_class_constructor(compiled_class, exec_globals, class_name):
+    """
+    Builds a constructor function for the dynamically created class.
+
+    :param compiled_class: Compiled code object of the class
+    :param exec_globals: Global scope with necessary imports
+    :param class_name: Name of the class
+    :return: Constructor function for the class
+    """
+
+    exec(compiled_class, exec_globals, locals())
+    exec_globals[class_name] = locals()[class_name]
+
+    # Return a function that imports necessary modules and creates an instance of the target class
+    def build_custom_class(*args, **kwargs):
+        for module_name, module in exec_globals.items():
+            if isinstance(module, type(importlib)):
+                globals()[module_name] = module
+
+        instance = exec_globals[class_name](*args, **kwargs)
+
+        return instance
+
+    build_custom_class.__globals__.update(exec_globals)
+    return build_custom_class
+
+
+def get_default_imports(code_string):
+    """
+    Returns a dictionary of default imports for the dynamic class constructor.
+    """
+
+    default_imports = {
+        "Optional": Optional,
+        "List": List,
+        "Dict": Dict,
+        "Union": Union,
+    }
+    langflow_imports = list(CUSTOM_COMPONENT_SUPPORTED_TYPES.keys())
+    necessary_imports = find_names_in_code(code_string, langflow_imports)
+    langflow_module = importlib.import_module("langflow.field_typing")
+    default_imports.update({name: getattr(langflow_module, name) for name in necessary_imports})
+
+    return default_imports
+
+
+def find_names_in_code(code, names):
+    """
+    Finds if any of the specified names are present in the given code string.
+
+    :param code: The source code as a string.
+    :param names: A list of names to check for in the code.
+    :return: A set of names that are found in the code.
+    """
+    found_names = {name for name in names if name in code}
+    return found_names
+
+
+def extract_function_name(code):
+    module = ast.parse(code)
+    for node in module.body:
+        if isinstance(node, ast.FunctionDef):
+            return node.name
+    raise ValueError("No function definition found in the code string")
+
+
+def extract_class_name(code):
+    module = ast.parse(code)
+    for node in module.body:
+        if isinstance(node, ast.ClassDef):
+            return node.name
+    raise ValueError("No class definition found in the code string")
diff --git a/src/backend/base/langflow/utils/version.py b/src/backend/base/langflow/utils/version.py
new file mode 100644
index 00000000000..3783cd0e552
--- /dev/null
+++ b/src/backend/base/langflow/utils/version.py
@@ -0,0 +1,12 @@
+def get_version_info():
+    try:
+        from langflow.version import __version__  # type: ignore
+
+        version = __version__
+        package = "Langflow"
+    except ImportError:
+        from importlib import metadata
+
+        version = metadata.version("langflow-base")
+        package = "Langflow Base"
+    return {"version": version, "package": package}
diff --git a/src/backend/base/langflow/worker.py b/src/backend/base/langflow/worker.py
new file mode 100644
index 00000000000..a5d1cf95647
--- /dev/null
+++ b/src/backend/base/langflow/worker.py
@@ -0,0 +1,37 @@
+from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union
+
+from asgiref.sync import async_to_sync
+from celery.exceptions import SoftTimeLimitExceeded  # type: ignore
+
+from langflow.core.celery_app import celery_app
+
+if TYPE_CHECKING:
+    from langflow.graph.vertex.base import Vertex
+
+
+@celery_app.task(acks_late=True)
+def test_celery(word: str) -> str:
+    return f"test task return {word}"
+
+
+@celery_app.task(bind=True, soft_time_limit=30, max_retries=3)
+def build_vertex(self, vertex: "Vertex") -> "Vertex":
+    """
+    Build a vertex
+    """
+    try:
+        vertex.task_id = self.request.id
+        async_to_sync(vertex.build)()
+        return vertex
+    except SoftTimeLimitExceeded as e:
+        raise self.retry(exc=SoftTimeLimitExceeded("Task took too long"), countdown=2) from e
+
+
+@celery_app.task(acks_late=True)
+def process_graph_cached_task(
+    data_graph: Dict[str, Any],
+    inputs: Optional[Union[dict, List[dict]]] = None,
+    clear_cache=False,
+    session_id=None,
+) -> Dict[str, Any]:
+    raise NotImplementedError("This task is not implemented yet")
diff --git a/src/backend/base/poetry.lock b/src/backend/base/poetry.lock
new file mode 100644
index 00000000000..a919a0251d1
--- /dev/null
+++ b/src/backend/base/poetry.lock
@@ -0,0 +1,3235 @@
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+
+[[package]]
+name = "aiohttp"
+version = "3.9.5"
+description = "Async http client/server framework (asyncio)"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "aiohttp-3.9.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:fcde4c397f673fdec23e6b05ebf8d4751314fa7c24f93334bf1f1364c1c69ac7"},
+    {file = "aiohttp-3.9.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5d6b3f1fabe465e819aed2c421a6743d8debbde79b6a8600739300630a01bf2c"},
+    {file = "aiohttp-3.9.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6ae79c1bc12c34082d92bf9422764f799aee4746fd7a392db46b7fd357d4a17a"},
+    {file = "aiohttp-3.9.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4d3ebb9e1316ec74277d19c5f482f98cc65a73ccd5430540d6d11682cd857430"},
+    {file = "aiohttp-3.9.5-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:84dabd95154f43a2ea80deffec9cb44d2e301e38a0c9d331cc4aa0166fe28ae3"},
+    {file = "aiohttp-3.9.5-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c8a02fbeca6f63cb1f0475c799679057fc9268b77075ab7cf3f1c600e81dd46b"},
+    {file = "aiohttp-3.9.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c26959ca7b75ff768e2776d8055bf9582a6267e24556bb7f7bd29e677932be72"},
+    {file = "aiohttp-3.9.5-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:714d4e5231fed4ba2762ed489b4aec07b2b9953cf4ee31e9871caac895a839c0"},
+    {file = "aiohttp-3.9.5-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:e7a6a8354f1b62e15d48e04350f13e726fa08b62c3d7b8401c0a1314f02e3558"},
+    {file = "aiohttp-3.9.5-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:c413016880e03e69d166efb5a1a95d40f83d5a3a648d16486592c49ffb76d0db"},
+    {file = "aiohttp-3.9.5-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:ff84aeb864e0fac81f676be9f4685f0527b660f1efdc40dcede3c251ef1e867f"},
+    {file = "aiohttp-3.9.5-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:ad7f2919d7dac062f24d6f5fe95d401597fbb015a25771f85e692d043c9d7832"},
+    {file = "aiohttp-3.9.5-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:702e2c7c187c1a498a4e2b03155d52658fdd6fda882d3d7fbb891a5cf108bb10"},
+    {file = "aiohttp-3.9.5-cp310-cp310-win32.whl", hash = "sha256:67c3119f5ddc7261d47163ed86d760ddf0e625cd6246b4ed852e82159617b5fb"},
+    {file = "aiohttp-3.9.5-cp310-cp310-win_amd64.whl", hash = "sha256:471f0ef53ccedec9995287f02caf0c068732f026455f07db3f01a46e49d76bbb"},
+    {file = "aiohttp-3.9.5-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:e0ae53e33ee7476dd3d1132f932eeb39bf6125083820049d06edcdca4381f342"},
+    {file = "aiohttp-3.9.5-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c088c4d70d21f8ca5c0b8b5403fe84a7bc8e024161febdd4ef04575ef35d474d"},
+    {file = "aiohttp-3.9.5-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:639d0042b7670222f33b0028de6b4e2fad6451462ce7df2af8aee37dcac55424"},
+    {file = "aiohttp-3.9.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f26383adb94da5e7fb388d441bf09c61e5e35f455a3217bfd790c6b6bc64b2ee"},
+    {file = "aiohttp-3.9.5-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:66331d00fb28dc90aa606d9a54304af76b335ae204d1836f65797d6fe27f1ca2"},
+    {file = "aiohttp-3.9.5-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4ff550491f5492ab5ed3533e76b8567f4b37bd2995e780a1f46bca2024223233"},
+    {file = "aiohttp-3.9.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f22eb3a6c1080d862befa0a89c380b4dafce29dc6cd56083f630073d102eb595"},
+    {file = "aiohttp-3.9.5-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a81b1143d42b66ffc40a441379387076243ef7b51019204fd3ec36b9f69e77d6"},
+    {file = "aiohttp-3.9.5-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:f64fd07515dad67f24b6ea4a66ae2876c01031de91c93075b8093f07c0a2d93d"},
+    {file = "aiohttp-3.9.5-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:93e22add827447d2e26d67c9ac0161756007f152fdc5210277d00a85f6c92323"},
+    {file = "aiohttp-3.9.5-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:55b39c8684a46e56ef8c8d24faf02de4a2b2ac60d26cee93bc595651ff545de9"},
+    {file = "aiohttp-3.9.5-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:4715a9b778f4293b9f8ae7a0a7cef9829f02ff8d6277a39d7f40565c737d3771"},
+    {file = "aiohttp-3.9.5-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:afc52b8d969eff14e069a710057d15ab9ac17cd4b6753042c407dcea0e40bf75"},
+    {file = "aiohttp-3.9.5-cp311-cp311-win32.whl", hash = "sha256:b3df71da99c98534be076196791adca8819761f0bf6e08e07fd7da25127150d6"},
+    {file = "aiohttp-3.9.5-cp311-cp311-win_amd64.whl", hash = "sha256:88e311d98cc0bf45b62fc46c66753a83445f5ab20038bcc1b8a1cc05666f428a"},
+    {file = "aiohttp-3.9.5-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:c7a4b7a6cf5b6eb11e109a9755fd4fda7d57395f8c575e166d363b9fc3ec4678"},
+    {file = "aiohttp-3.9.5-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:0a158704edf0abcac8ac371fbb54044f3270bdbc93e254a82b6c82be1ef08f3c"},
+    {file = "aiohttp-3.9.5-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:d153f652a687a8e95ad367a86a61e8d53d528b0530ef382ec5aaf533140ed00f"},
+    {file = "aiohttp-3.9.5-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:82a6a97d9771cb48ae16979c3a3a9a18b600a8505b1115cfe354dfb2054468b4"},
+    {file = "aiohttp-3.9.5-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:60cdbd56f4cad9f69c35eaac0fbbdf1f77b0ff9456cebd4902f3dd1cf096464c"},
+    {file = "aiohttp-3.9.5-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8676e8fd73141ded15ea586de0b7cda1542960a7b9ad89b2b06428e97125d4fa"},
+    {file = "aiohttp-3.9.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:da00da442a0e31f1c69d26d224e1efd3a1ca5bcbf210978a2ca7426dfcae9f58"},
+    {file = "aiohttp-3.9.5-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:18f634d540dd099c262e9f887c8bbacc959847cfe5da7a0e2e1cf3f14dbf2daf"},
+    {file = "aiohttp-3.9.5-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:320e8618eda64e19d11bdb3bd04ccc0a816c17eaecb7e4945d01deee2a22f95f"},
+    {file = "aiohttp-3.9.5-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:2faa61a904b83142747fc6a6d7ad8fccff898c849123030f8e75d5d967fd4a81"},
+    {file = "aiohttp-3.9.5-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:8c64a6dc3fe5db7b1b4d2b5cb84c4f677768bdc340611eca673afb7cf416ef5a"},
+    {file = "aiohttp-3.9.5-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:393c7aba2b55559ef7ab791c94b44f7482a07bf7640d17b341b79081f5e5cd1a"},
+    {file = "aiohttp-3.9.5-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:c671dc117c2c21a1ca10c116cfcd6e3e44da7fcde37bf83b2be485ab377b25da"},
+    {file = "aiohttp-3.9.5-cp312-cp312-win32.whl", hash = "sha256:5a7ee16aab26e76add4afc45e8f8206c95d1d75540f1039b84a03c3b3800dd59"},
+    {file = "aiohttp-3.9.5-cp312-cp312-win_amd64.whl", hash = "sha256:5ca51eadbd67045396bc92a4345d1790b7301c14d1848feaac1d6a6c9289e888"},
+    {file = "aiohttp-3.9.5-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:694d828b5c41255e54bc2dddb51a9f5150b4eefa9886e38b52605a05d96566e8"},
+    {file = "aiohttp-3.9.5-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:0605cc2c0088fcaae79f01c913a38611ad09ba68ff482402d3410bf59039bfb8"},
+    {file = "aiohttp-3.9.5-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:4558e5012ee03d2638c681e156461d37b7a113fe13970d438d95d10173d25f78"},
+    {file = "aiohttp-3.9.5-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9dbc053ac75ccc63dc3a3cc547b98c7258ec35a215a92bd9f983e0aac95d3d5b"},
+    {file = "aiohttp-3.9.5-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4109adee842b90671f1b689901b948f347325045c15f46b39797ae1bf17019de"},
+    {file = "aiohttp-3.9.5-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a6ea1a5b409a85477fd8e5ee6ad8f0e40bf2844c270955e09360418cfd09abac"},
+    {file = "aiohttp-3.9.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f3c2890ca8c59ee683fd09adf32321a40fe1cf164e3387799efb2acebf090c11"},
+    {file = "aiohttp-3.9.5-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3916c8692dbd9d55c523374a3b8213e628424d19116ac4308e434dbf6d95bbdd"},
+    {file = "aiohttp-3.9.5-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:8d1964eb7617907c792ca00b341b5ec3e01ae8c280825deadbbd678447b127e1"},
+    {file = "aiohttp-3.9.5-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:d5ab8e1f6bee051a4bf6195e38a5c13e5e161cb7bad83d8854524798bd9fcd6e"},
+    {file = "aiohttp-3.9.5-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:52c27110f3862a1afbcb2af4281fc9fdc40327fa286c4625dfee247c3ba90156"},
+    {file = "aiohttp-3.9.5-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:7f64cbd44443e80094309875d4f9c71d0401e966d191c3d469cde4642bc2e031"},
+    {file = "aiohttp-3.9.5-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:8b4f72fbb66279624bfe83fd5eb6aea0022dad8eec62b71e7bf63ee1caadeafe"},
+    {file = "aiohttp-3.9.5-cp38-cp38-win32.whl", hash = "sha256:6380c039ec52866c06d69b5c7aad5478b24ed11696f0e72f6b807cfb261453da"},
+    {file = "aiohttp-3.9.5-cp38-cp38-win_amd64.whl", hash = "sha256:da22dab31d7180f8c3ac7c7635f3bcd53808f374f6aa333fe0b0b9e14b01f91a"},
+    {file = "aiohttp-3.9.5-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:1732102949ff6087589408d76cd6dea656b93c896b011ecafff418c9661dc4ed"},
+    {file = "aiohttp-3.9.5-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:c6021d296318cb6f9414b48e6a439a7f5d1f665464da507e8ff640848ee2a58a"},
+    {file = "aiohttp-3.9.5-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:239f975589a944eeb1bad26b8b140a59a3a320067fb3cd10b75c3092405a1372"},
+    {file = "aiohttp-3.9.5-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3b7b30258348082826d274504fbc7c849959f1989d86c29bc355107accec6cfb"},
+    {file = "aiohttp-3.9.5-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:cd2adf5c87ff6d8b277814a28a535b59e20bfea40a101db6b3bdca7e9926bc24"},
+    {file = "aiohttp-3.9.5-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e9a3d838441bebcf5cf442700e3963f58b5c33f015341f9ea86dcd7d503c07e2"},
+    {file = "aiohttp-3.9.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9e3a1ae66e3d0c17cf65c08968a5ee3180c5a95920ec2731f53343fac9bad106"},
+    {file = "aiohttp-3.9.5-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9c69e77370cce2d6df5d12b4e12bdcca60c47ba13d1cbbc8645dd005a20b738b"},
+    {file = "aiohttp-3.9.5-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:0cbf56238f4bbf49dab8c2dc2e6b1b68502b1e88d335bea59b3f5b9f4c001475"},
+    {file = "aiohttp-3.9.5-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:d1469f228cd9ffddd396d9948b8c9cd8022b6d1bf1e40c6f25b0fb90b4f893ed"},
+    {file = "aiohttp-3.9.5-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:45731330e754f5811c314901cebdf19dd776a44b31927fa4b4dbecab9e457b0c"},
+    {file = "aiohttp-3.9.5-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:3fcb4046d2904378e3aeea1df51f697b0467f2aac55d232c87ba162709478c46"},
+    {file = "aiohttp-3.9.5-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:8cf142aa6c1a751fcb364158fd710b8a9be874b81889c2bd13aa8893197455e2"},
+    {file = "aiohttp-3.9.5-cp39-cp39-win32.whl", hash = "sha256:7b179eea70833c8dee51ec42f3b4097bd6370892fa93f510f76762105568cf09"},
+    {file = "aiohttp-3.9.5-cp39-cp39-win_amd64.whl", hash = "sha256:38d80498e2e169bc61418ff36170e0aad0cd268da8b38a17c4cf29d254a8b3f1"},
+    {file = "aiohttp-3.9.5.tar.gz", hash = "sha256:edea7d15772ceeb29db4aff55e482d4bcfb6ae160ce144f2682de02f6d693551"},
+]
+
+[package.dependencies]
+aiosignal = ">=1.1.2"
+async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
+attrs = ">=17.3.0"
+frozenlist = ">=1.1.1"
+multidict = ">=4.5,<7.0"
+yarl = ">=1.0,<2.0"
+
+[package.extras]
+speedups = ["Brotli", "aiodns", "brotlicffi"]
+
+[[package]]
+name = "aiosignal"
+version = "1.3.1"
+description = "aiosignal: a list of registered asynchronous callbacks"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "aiosignal-1.3.1-py3-none-any.whl", hash = "sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17"},
+    {file = "aiosignal-1.3.1.tar.gz", hash = "sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc"},
+]
+
+[package.dependencies]
+frozenlist = ">=1.1.0"
+
+[[package]]
+name = "alembic"
+version = "1.13.1"
+description = "A database migration tool for SQLAlchemy."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "alembic-1.13.1-py3-none-any.whl", hash = "sha256:2edcc97bed0bd3272611ce3a98d98279e9c209e7186e43e75bbb1b2bdfdbcc43"},
+    {file = "alembic-1.13.1.tar.gz", hash = "sha256:4932c8558bf68f2ee92b9bbcb8218671c627064d5b08939437af6d77dc05e595"},
+]
+
+[package.dependencies]
+Mako = "*"
+SQLAlchemy = ">=1.3.0"
+typing-extensions = ">=4"
+
+[package.extras]
+tz = ["backports.zoneinfo"]
+
+[[package]]
+name = "annotated-types"
+version = "0.7.0"
+description = "Reusable constraint types to use with typing.Annotated"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
+    {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
+]
+
+[[package]]
+name = "anyio"
+version = "4.4.0"
+description = "High level compatibility layer for multiple asynchronous event loop implementations"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "anyio-4.4.0-py3-none-any.whl", hash = "sha256:c1b2d8f46a8a812513012e1107cb0e68c17159a7a594208005a57dc776e1bdc7"},
+    {file = "anyio-4.4.0.tar.gz", hash = "sha256:5aadc6a1bbb7cdb0bede386cac5e2940f5e2ff3aa20277e991cf028e0585ce94"},
+]
+
+[package.dependencies]
+exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
+idna = ">=2.8"
+sniffio = ">=1.1"
+typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
+
+[package.extras]
+doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
+trio = ["trio (>=0.23)"]
+
+[[package]]
+name = "async-timeout"
+version = "4.0.3"
+description = "Timeout context manager for asyncio programs"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "async-timeout-4.0.3.tar.gz", hash = "sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f"},
+    {file = "async_timeout-4.0.3-py3-none-any.whl", hash = "sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028"},
+]
+
+[[package]]
+name = "asyncer"
+version = "0.0.5"
+description = "Asyncer, async and await, focused on developer experience."
+optional = false
+python-versions = ">=3.8,<4.0"
+files = [
+    {file = "asyncer-0.0.5-py3-none-any.whl", hash = "sha256:ba06d6de3c750763868dffacf89b18d40b667605b0241d31c2ee43f188e2ab74"},
+    {file = "asyncer-0.0.5.tar.gz", hash = "sha256:2979f3e04cbedfe5cfeb79027dcf7d004fcc4430a0ca0066ae20490f218ec06e"},
+]
+
+[package.dependencies]
+anyio = ">=3.4.0,<5.0"
+
+[[package]]
+name = "attrs"
+version = "23.2.0"
+description = "Classes Without Boilerplate"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "attrs-23.2.0-py3-none-any.whl", hash = "sha256:99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1"},
+    {file = "attrs-23.2.0.tar.gz", hash = "sha256:935dc3b529c262f6cf76e50877d35a4bd3c1de194fd41f47a2b7ae8f19971f30"},
+]
+
+[package.extras]
+cov = ["attrs[tests]", "coverage[toml] (>=5.3)"]
+dev = ["attrs[tests]", "pre-commit"]
+docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
+tests = ["attrs[tests-no-zope]", "zope-interface"]
+tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"]
+tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"]
+
+[[package]]
+name = "bcrypt"
+version = "4.0.1"
+description = "Modern password hashing for your software and your servers"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "bcrypt-4.0.1-cp36-abi3-macosx_10_10_universal2.whl", hash = "sha256:b1023030aec778185a6c16cf70f359cbb6e0c289fd564a7cfa29e727a1c38f8f"},
+    {file = "bcrypt-4.0.1-cp36-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_24_aarch64.whl", hash = "sha256:08d2947c490093a11416df18043c27abe3921558d2c03e2076ccb28a116cb6d0"},
+    {file = "bcrypt-4.0.1-cp36-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0eaa47d4661c326bfc9d08d16debbc4edf78778e6aaba29c1bc7ce67214d4410"},
+    {file = "bcrypt-4.0.1-cp36-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ae88eca3024bb34bb3430f964beab71226e761f51b912de5133470b649d82344"},
+    {file = "bcrypt-4.0.1-cp36-abi3-manylinux_2_24_x86_64.whl", hash = "sha256:a522427293d77e1c29e303fc282e2d71864579527a04ddcfda6d4f8396c6c36a"},
+    {file = "bcrypt-4.0.1-cp36-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:fbdaec13c5105f0c4e5c52614d04f0bca5f5af007910daa8b6b12095edaa67b3"},
+    {file = "bcrypt-4.0.1-cp36-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:ca3204d00d3cb2dfed07f2d74a25f12fc12f73e606fcaa6975d1f7ae69cacbb2"},
+    {file = "bcrypt-4.0.1-cp36-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:089098effa1bc35dc055366740a067a2fc76987e8ec75349eb9484061c54f535"},
+    {file = "bcrypt-4.0.1-cp36-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:e9a51bbfe7e9802b5f3508687758b564069ba937748ad7b9e890086290d2f79e"},
+    {file = "bcrypt-4.0.1-cp36-abi3-win32.whl", hash = "sha256:2caffdae059e06ac23fce178d31b4a702f2a3264c20bfb5ff541b338194d8fab"},
+    {file = "bcrypt-4.0.1-cp36-abi3-win_amd64.whl", hash = "sha256:8a68f4341daf7522fe8d73874de8906f3a339048ba406be6ddc1b3ccb16fc0d9"},
+    {file = "bcrypt-4.0.1-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bf4fa8b2ca74381bb5442c089350f09a3f17797829d958fad058d6e44d9eb83c"},
+    {file = "bcrypt-4.0.1-pp37-pypy37_pp73-manylinux_2_24_x86_64.whl", hash = "sha256:67a97e1c405b24f19d08890e7ae0c4f7ce1e56a712a016746c8b2d7732d65d4b"},
+    {file = "bcrypt-4.0.1-pp37-pypy37_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:b3b85202d95dd568efcb35b53936c5e3b3600c7cdcc6115ba461df3a8e89f38d"},
+    {file = "bcrypt-4.0.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cbb03eec97496166b704ed663a53680ab57c5084b2fc98ef23291987b525cb7d"},
+    {file = "bcrypt-4.0.1-pp38-pypy38_pp73-manylinux_2_24_x86_64.whl", hash = "sha256:5ad4d32a28b80c5fa6671ccfb43676e8c1cc232887759d1cd7b6f56ea4355215"},
+    {file = "bcrypt-4.0.1-pp38-pypy38_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:b57adba8a1444faf784394de3436233728a1ecaeb6e07e8c22c8848f179b893c"},
+    {file = "bcrypt-4.0.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:705b2cea8a9ed3d55b4491887ceadb0106acf7c6387699fca771af56b1cdeeda"},
+    {file = "bcrypt-4.0.1-pp39-pypy39_pp73-manylinux_2_24_x86_64.whl", hash = "sha256:2b3ac11cf45161628f1f3733263e63194f22664bf4d0c0f3ab34099c02134665"},
+    {file = "bcrypt-4.0.1-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:3100851841186c25f127731b9fa11909ab7b1df6fc4b9f8353f4f1fd952fbf71"},
+    {file = "bcrypt-4.0.1.tar.gz", hash = "sha256:27d375903ac8261cfe4047f6709d16f7d18d39b1ec92aaf72af989552a650ebd"},
+]
+
+[package.extras]
+tests = ["pytest (>=3.2.1,!=3.3.0)"]
+typecheck = ["mypy"]
+
+[[package]]
+name = "cachetools"
+version = "5.3.3"
+description = "Extensible memoizing collections and decorators"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "cachetools-5.3.3-py3-none-any.whl", hash = "sha256:0abad1021d3f8325b2fc1d2e9c8b9c9d57b04c3932657a72465447332c24d945"},
+    {file = "cachetools-5.3.3.tar.gz", hash = "sha256:ba29e2dfa0b8b556606f097407ed1aa62080ee108ab0dc5ec9d6a723a007d105"},
+]
+
+[[package]]
+name = "certifi"
+version = "2024.6.2"
+description = "Python package for providing Mozilla's CA Bundle."
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "certifi-2024.6.2-py3-none-any.whl", hash = "sha256:ddc6c8ce995e6987e7faf5e3f1b02b302836a0e5d98ece18392cb1a36c72ad56"},
+    {file = "certifi-2024.6.2.tar.gz", hash = "sha256:3cd43f1c6fa7dedc5899d69d3ad0398fd018ad1a17fba83ddaf78aa46c747516"},
+]
+
+[[package]]
+name = "cffi"
+version = "1.16.0"
+description = "Foreign Function Interface for Python calling C code."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "cffi-1.16.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:6b3d6606d369fc1da4fd8c357d026317fbb9c9b75d36dc16e90e84c26854b088"},
+    {file = "cffi-1.16.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ac0f5edd2360eea2f1daa9e26a41db02dd4b0451b48f7c318e217ee092a213e9"},
+    {file = "cffi-1.16.0-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7e61e3e4fa664a8588aa25c883eab612a188c725755afff6289454d6362b9673"},
+    {file = "cffi-1.16.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a72e8961a86d19bdb45851d8f1f08b041ea37d2bd8d4fd19903bc3083d80c896"},
+    {file = "cffi-1.16.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5b50bf3f55561dac5438f8e70bfcdfd74543fd60df5fa5f62d94e5867deca684"},
+    {file = "cffi-1.16.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7651c50c8c5ef7bdb41108b7b8c5a83013bfaa8a935590c5d74627c047a583c7"},
+    {file = "cffi-1.16.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e4108df7fe9b707191e55f33efbcb2d81928e10cea45527879a4749cbe472614"},
+    {file = "cffi-1.16.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:32c68ef735dbe5857c810328cb2481e24722a59a2003018885514d4c09af9743"},
+    {file = "cffi-1.16.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:673739cb539f8cdaa07d92d02efa93c9ccf87e345b9a0b556e3ecc666718468d"},
+    {file = "cffi-1.16.0-cp310-cp310-win32.whl", hash = "sha256:9f90389693731ff1f659e55c7d1640e2ec43ff725cc61b04b2f9c6d8d017df6a"},
+    {file = "cffi-1.16.0-cp310-cp310-win_amd64.whl", hash = "sha256:e6024675e67af929088fda399b2094574609396b1decb609c55fa58b028a32a1"},
+    {file = "cffi-1.16.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b84834d0cf97e7d27dd5b7f3aca7b6e9263c56308ab9dc8aae9784abb774d404"},
+    {file = "cffi-1.16.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:1b8ebc27c014c59692bb2664c7d13ce7a6e9a629be20e54e7271fa696ff2b417"},
+    {file = "cffi-1.16.0-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ee07e47c12890ef248766a6e55bd38ebfb2bb8edd4142d56db91b21ea68b7627"},
+    {file = "cffi-1.16.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d8a9d3ebe49f084ad71f9269834ceccbf398253c9fac910c4fd7053ff1386936"},
+    {file = "cffi-1.16.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e70f54f1796669ef691ca07d046cd81a29cb4deb1e5f942003f401c0c4a2695d"},
+    {file = "cffi-1.16.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5bf44d66cdf9e893637896c7faa22298baebcd18d1ddb6d2626a6e39793a1d56"},
+    {file = "cffi-1.16.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7b78010e7b97fef4bee1e896df8a4bbb6712b7f05b7ef630f9d1da00f6444d2e"},
+    {file = "cffi-1.16.0-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:c6a164aa47843fb1b01e941d385aab7215563bb8816d80ff3a363a9f8448a8dc"},
+    {file = "cffi-1.16.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:e09f3ff613345df5e8c3667da1d918f9149bd623cd9070c983c013792a9a62eb"},
+    {file = "cffi-1.16.0-cp311-cp311-win32.whl", hash = "sha256:2c56b361916f390cd758a57f2e16233eb4f64bcbeee88a4881ea90fca14dc6ab"},
+    {file = "cffi-1.16.0-cp311-cp311-win_amd64.whl", hash = "sha256:db8e577c19c0fda0beb7e0d4e09e0ba74b1e4c092e0e40bfa12fe05b6f6d75ba"},
+    {file = "cffi-1.16.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:fa3a0128b152627161ce47201262d3140edb5a5c3da88d73a1b790a959126956"},
+    {file = "cffi-1.16.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:68e7c44931cc171c54ccb702482e9fc723192e88d25a0e133edd7aff8fcd1f6e"},
+    {file = "cffi-1.16.0-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:abd808f9c129ba2beda4cfc53bde801e5bcf9d6e0f22f095e45327c038bfe68e"},
+    {file = "cffi-1.16.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:88e2b3c14bdb32e440be531ade29d3c50a1a59cd4e51b1dd8b0865c54ea5d2e2"},
+    {file = "cffi-1.16.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:fcc8eb6d5902bb1cf6dc4f187ee3ea80a1eba0a89aba40a5cb20a5087d961357"},
+    {file = "cffi-1.16.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b7be2d771cdba2942e13215c4e340bfd76398e9227ad10402a8767ab1865d2e6"},
+    {file = "cffi-1.16.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e715596e683d2ce000574bae5d07bd522c781a822866c20495e52520564f0969"},
+    {file = "cffi-1.16.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:2d92b25dbf6cae33f65005baf472d2c245c050b1ce709cc4588cdcdd5495b520"},
+    {file = "cffi-1.16.0-cp312-cp312-win32.whl", hash = "sha256:b2ca4e77f9f47c55c194982e10f058db063937845bb2b7a86c84a6cfe0aefa8b"},
+    {file = "cffi-1.16.0-cp312-cp312-win_amd64.whl", hash = "sha256:68678abf380b42ce21a5f2abde8efee05c114c2fdb2e9eef2efdb0257fba1235"},
+    {file = "cffi-1.16.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:0c9ef6ff37e974b73c25eecc13952c55bceed9112be2d9d938ded8e856138bcc"},
+    {file = "cffi-1.16.0-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a09582f178759ee8128d9270cd1344154fd473bb77d94ce0aeb2a93ebf0feaf0"},
+    {file = "cffi-1.16.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e760191dd42581e023a68b758769e2da259b5d52e3103c6060ddc02c9edb8d7b"},
+    {file = "cffi-1.16.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:80876338e19c951fdfed6198e70bc88f1c9758b94578d5a7c4c91a87af3cf31c"},
+    {file = "cffi-1.16.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a6a14b17d7e17fa0d207ac08642c8820f84f25ce17a442fd15e27ea18d67c59b"},
+    {file = "cffi-1.16.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6602bc8dc6f3a9e02b6c22c4fc1e47aa50f8f8e6d3f78a5e16ac33ef5fefa324"},
+    {file = "cffi-1.16.0-cp38-cp38-win32.whl", hash = "sha256:131fd094d1065b19540c3d72594260f118b231090295d8c34e19a7bbcf2e860a"},
+    {file = "cffi-1.16.0-cp38-cp38-win_amd64.whl", hash = "sha256:31d13b0f99e0836b7ff893d37af07366ebc90b678b6664c955b54561fc36ef36"},
+    {file = "cffi-1.16.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:582215a0e9adbe0e379761260553ba11c58943e4bbe9c36430c4ca6ac74b15ed"},
+    {file = "cffi-1.16.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:b29ebffcf550f9da55bec9e02ad430c992a87e5f512cd63388abb76f1036d8d2"},
+    {file = "cffi-1.16.0-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:dc9b18bf40cc75f66f40a7379f6a9513244fe33c0e8aa72e2d56b0196a7ef872"},
+    {file = "cffi-1.16.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9cb4a35b3642fc5c005a6755a5d17c6c8b6bcb6981baf81cea8bfbc8903e8ba8"},
+    {file = "cffi-1.16.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b86851a328eedc692acf81fb05444bdf1891747c25af7529e39ddafaf68a4f3f"},
+    {file = "cffi-1.16.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c0f31130ebc2d37cdd8e44605fb5fa7ad59049298b3f745c74fa74c62fbfcfc4"},
+    {file = "cffi-1.16.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8f8e709127c6c77446a8c0a8c8bf3c8ee706a06cd44b1e827c3e6a2ee6b8c098"},
+    {file = "cffi-1.16.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:748dcd1e3d3d7cd5443ef03ce8685043294ad6bd7c02a38d1bd367cfd968e000"},
+    {file = "cffi-1.16.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:8895613bcc094d4a1b2dbe179d88d7fb4a15cee43c052e8885783fac397d91fe"},
+    {file = "cffi-1.16.0-cp39-cp39-win32.whl", hash = "sha256:ed86a35631f7bfbb28e108dd96773b9d5a6ce4811cf6ea468bb6a359b256b1e4"},
+    {file = "cffi-1.16.0-cp39-cp39-win_amd64.whl", hash = "sha256:3686dffb02459559c74dd3d81748269ffb0eb027c39a6fc99502de37d501faa8"},
+    {file = "cffi-1.16.0.tar.gz", hash = "sha256:bcb3ef43e58665bbda2fb198698fcae6776483e0c4a631aa5647806c25e02cc0"},
+]
+
+[package.dependencies]
+pycparser = "*"
+
+[[package]]
+name = "chardet"
+version = "5.2.0"
+description = "Universal encoding detector for Python 3"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "chardet-5.2.0-py3-none-any.whl", hash = "sha256:e1cf59446890a00105fe7b7912492ea04b6e6f06d4b742b2c788469e34c82970"},
+    {file = "chardet-5.2.0.tar.gz", hash = "sha256:1b3b6ff479a8c414bc3fa2c0852995695c4a026dcd6d0633b2dd092ca39c1cf7"},
+]
+
+[[package]]
+name = "charset-normalizer"
+version = "3.3.2"
+description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
+optional = false
+python-versions = ">=3.7.0"
+files = [
+    {file = "charset-normalizer-3.3.2.tar.gz", hash = "sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5"},
+    {file = "charset_normalizer-3.3.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:25baf083bf6f6b341f4121c2f3c548875ee6f5339300e08be3f2b2ba1721cdd3"},
+    {file = "charset_normalizer-3.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027"},
+    {file = "charset_normalizer-3.3.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9063e24fdb1e498ab71cb7419e24622516c4a04476b17a2dab57e8baa30d6e03"},
+    {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6897af51655e3691ff853668779c7bad41579facacf5fd7253b0133308cf000d"},
+    {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1d3193f4a680c64b4b6a9115943538edb896edc190f0b222e73761716519268e"},
+    {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cd70574b12bb8a4d2aaa0094515df2463cb429d8536cfb6c7ce983246983e5a6"},
+    {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8465322196c8b4d7ab6d1e049e4c5cb460d0394da4a27d23cc242fbf0034b6b5"},
+    {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a9a8e9031d613fd2009c182b69c7b2c1ef8239a0efb1df3f7c8da66d5dd3d537"},
+    {file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:beb58fe5cdb101e3a055192ac291b7a21e3b7ef4f67fa1d74e331a7f2124341c"},
+    {file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:e06ed3eb3218bc64786f7db41917d4e686cc4856944f53d5bdf83a6884432e12"},
+    {file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:2e81c7b9c8979ce92ed306c249d46894776a909505d8f5a4ba55b14206e3222f"},
+    {file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:572c3763a264ba47b3cf708a44ce965d98555f618ca42c926a9c1616d8f34269"},
+    {file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:fd1abc0d89e30cc4e02e4064dc67fcc51bd941eb395c502aac3ec19fab46b519"},
+    {file = "charset_normalizer-3.3.2-cp310-cp310-win32.whl", hash = "sha256:3d47fa203a7bd9c5b6cee4736ee84ca03b8ef23193c0d1ca99b5089f72645c73"},
+    {file = "charset_normalizer-3.3.2-cp310-cp310-win_amd64.whl", hash = "sha256:10955842570876604d404661fbccbc9c7e684caf432c09c715ec38fbae45ae09"},
+    {file = "charset_normalizer-3.3.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:802fe99cca7457642125a8a88a084cef28ff0cf9407060f7b93dca5aa25480db"},
+    {file = "charset_normalizer-3.3.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:573f6eac48f4769d667c4442081b1794f52919e7edada77495aaed9236d13a96"},
+    {file = "charset_normalizer-3.3.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:549a3a73da901d5bc3ce8d24e0600d1fa85524c10287f6004fbab87672bf3e1e"},
+    {file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f27273b60488abe721a075bcca6d7f3964f9f6f067c8c4c605743023d7d3944f"},
+    {file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1ceae2f17a9c33cb48e3263960dc5fc8005351ee19db217e9b1bb15d28c02574"},
+    {file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:65f6f63034100ead094b8744b3b97965785388f308a64cf8d7c34f2f2e5be0c4"},
+    {file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:753f10e867343b4511128c6ed8c82f7bec3bd026875576dfd88483c5c73b2fd8"},
+    {file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4a78b2b446bd7c934f5dcedc588903fb2f5eec172f3d29e52a9096a43722adfc"},
+    {file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:e537484df0d8f426ce2afb2d0f8e1c3d0b114b83f8850e5f2fbea0e797bd82ae"},
+    {file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:eb6904c354526e758fda7167b33005998fb68c46fbc10e013ca97f21ca5c8887"},
+    {file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:deb6be0ac38ece9ba87dea880e438f25ca3eddfac8b002a2ec3d9183a454e8ae"},
+    {file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:4ab2fe47fae9e0f9dee8c04187ce5d09f48eabe611be8259444906793ab7cbce"},
+    {file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:80402cd6ee291dcb72644d6eac93785fe2c8b9cb30893c1af5b8fdd753b9d40f"},
+    {file = "charset_normalizer-3.3.2-cp311-cp311-win32.whl", hash = "sha256:7cd13a2e3ddeed6913a65e66e94b51d80a041145a026c27e6bb76c31a853c6ab"},
+    {file = "charset_normalizer-3.3.2-cp311-cp311-win_amd64.whl", hash = "sha256:663946639d296df6a2bb2aa51b60a2454ca1cb29835324c640dafb5ff2131a77"},
+    {file = "charset_normalizer-3.3.2-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:0b2b64d2bb6d3fb9112bafa732def486049e63de9618b5843bcdd081d8144cd8"},
+    {file = "charset_normalizer-3.3.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:ddbb2551d7e0102e7252db79ba445cdab71b26640817ab1e3e3648dad515003b"},
+    {file = "charset_normalizer-3.3.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:55086ee1064215781fff39a1af09518bc9255b50d6333f2e4c74ca09fac6a8f6"},
+    {file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8f4a014bc36d3c57402e2977dada34f9c12300af536839dc38c0beab8878f38a"},
+    {file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a10af20b82360ab00827f916a6058451b723b4e65030c5a18577c8b2de5b3389"},
+    {file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8d756e44e94489e49571086ef83b2bb8ce311e730092d2c34ca8f7d925cb20aa"},
+    {file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:90d558489962fd4918143277a773316e56c72da56ec7aa3dc3dbbe20fdfed15b"},
+    {file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6ac7ffc7ad6d040517be39eb591cac5ff87416c2537df6ba3cba3bae290c0fed"},
+    {file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:7ed9e526742851e8d5cc9e6cf41427dfc6068d4f5a3bb03659444b4cabf6bc26"},
+    {file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:8bdb58ff7ba23002a4c5808d608e4e6c687175724f54a5dade5fa8c67b604e4d"},
+    {file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:6b3251890fff30ee142c44144871185dbe13b11bab478a88887a639655be1068"},
+    {file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:b4a23f61ce87adf89be746c8a8974fe1c823c891d8f86eb218bb957c924bb143"},
+    {file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:efcb3f6676480691518c177e3b465bcddf57cea040302f9f4e6e191af91174d4"},
+    {file = "charset_normalizer-3.3.2-cp312-cp312-win32.whl", hash = "sha256:d965bba47ddeec8cd560687584e88cf699fd28f192ceb452d1d7ee807c5597b7"},
+    {file = "charset_normalizer-3.3.2-cp312-cp312-win_amd64.whl", hash = "sha256:96b02a3dc4381e5494fad39be677abcb5e6634bf7b4fa83a6dd3112607547001"},
+    {file = "charset_normalizer-3.3.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:95f2a5796329323b8f0512e09dbb7a1860c46a39da62ecb2324f116fa8fdc85c"},
+    {file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c002b4ffc0be611f0d9da932eb0f704fe2602a9a949d1f738e4c34c75b0863d5"},
+    {file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a981a536974bbc7a512cf44ed14938cf01030a99e9b3a06dd59578882f06f985"},
+    {file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3287761bc4ee9e33561a7e058c72ac0938c4f57fe49a09eae428fd88aafe7bb6"},
+    {file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:42cb296636fcc8b0644486d15c12376cb9fa75443e00fb25de0b8602e64c1714"},
+    {file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0a55554a2fa0d408816b3b5cedf0045f4b8e1a6065aec45849de2d6f3f8e9786"},
+    {file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:c083af607d2515612056a31f0a8d9e0fcb5876b7bfc0abad3ecd275bc4ebc2d5"},
+    {file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:87d1351268731db79e0f8e745d92493ee2841c974128ef629dc518b937d9194c"},
+    {file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:bd8f7df7d12c2db9fab40bdd87a7c09b1530128315d047a086fa3ae3435cb3a8"},
+    {file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:c180f51afb394e165eafe4ac2936a14bee3eb10debc9d9e4db8958fe36afe711"},
+    {file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:8c622a5fe39a48f78944a87d4fb8a53ee07344641b0562c540d840748571b811"},
+    {file = "charset_normalizer-3.3.2-cp37-cp37m-win32.whl", hash = "sha256:db364eca23f876da6f9e16c9da0df51aa4f104a972735574842618b8c6d999d4"},
+    {file = "charset_normalizer-3.3.2-cp37-cp37m-win_amd64.whl", hash = "sha256:86216b5cee4b06df986d214f664305142d9c76df9b6512be2738aa72a2048f99"},
+    {file = "charset_normalizer-3.3.2-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:6463effa3186ea09411d50efc7d85360b38d5f09b870c48e4600f63af490e56a"},
+    {file = "charset_normalizer-3.3.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:6c4caeef8fa63d06bd437cd4bdcf3ffefe6738fb1b25951440d80dc7df8c03ac"},
+    {file = "charset_normalizer-3.3.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:37e55c8e51c236f95b033f6fb391d7d7970ba5fe7ff453dad675e88cf303377a"},
+    {file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fb69256e180cb6c8a894fee62b3afebae785babc1ee98b81cdf68bbca1987f33"},
+    {file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ae5f4161f18c61806f411a13b0310bea87f987c7d2ecdbdaad0e94eb2e404238"},
+    {file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b2b0a0c0517616b6869869f8c581d4eb2dd83a4d79e0ebcb7d373ef9956aeb0a"},
+    {file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:45485e01ff4d3630ec0d9617310448a8702f70e9c01906b0d0118bdf9d124cf2"},
+    {file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:eb00ed941194665c332bf8e078baf037d6c35d7c4f3102ea2d4f16ca94a26dc8"},
+    {file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:2127566c664442652f024c837091890cb1942c30937add288223dc895793f898"},
+    {file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:a50aebfa173e157099939b17f18600f72f84eed3049e743b68ad15bd69b6bf99"},
+    {file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:4d0d1650369165a14e14e1e47b372cfcb31d6ab44e6e33cb2d4e57265290044d"},
+    {file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:923c0c831b7cfcb071580d3f46c4baf50f174be571576556269530f4bbd79d04"},
+    {file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:06a81e93cd441c56a9b65d8e1d043daeb97a3d0856d177d5c90ba85acb3db087"},
+    {file = "charset_normalizer-3.3.2-cp38-cp38-win32.whl", hash = "sha256:6ef1d82a3af9d3eecdba2321dc1b3c238245d890843e040e41e470ffa64c3e25"},
+    {file = "charset_normalizer-3.3.2-cp38-cp38-win_amd64.whl", hash = "sha256:eb8821e09e916165e160797a6c17edda0679379a4be5c716c260e836e122f54b"},
+    {file = "charset_normalizer-3.3.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:c235ebd9baae02f1b77bcea61bce332cb4331dc3617d254df3323aa01ab47bd4"},
+    {file = "charset_normalizer-3.3.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:5b4c145409bef602a690e7cfad0a15a55c13320ff7a3ad7ca59c13bb8ba4d45d"},
+    {file = "charset_normalizer-3.3.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:68d1f8a9e9e37c1223b656399be5d6b448dea850bed7d0f87a8311f1ff3dabb0"},
+    {file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:22afcb9f253dac0696b5a4be4a1c0f8762f8239e21b99680099abd9b2b1b2269"},
+    {file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e27ad930a842b4c5eb8ac0016b0a54f5aebbe679340c26101df33424142c143c"},
+    {file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1f79682fbe303db92bc2b1136016a38a42e835d932bab5b3b1bfcfbf0640e519"},
+    {file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b261ccdec7821281dade748d088bb6e9b69e6d15b30652b74cbbac25e280b796"},
+    {file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:122c7fa62b130ed55f8f285bfd56d5f4b4a5b503609d181f9ad85e55c89f4185"},
+    {file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:d0eccceffcb53201b5bfebb52600a5fb483a20b61da9dbc885f8b103cbe7598c"},
+    {file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:9f96df6923e21816da7e0ad3fd47dd8f94b2a5ce594e00677c0013018b813458"},
+    {file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:7f04c839ed0b6b98b1a7501a002144b76c18fb1c1850c8b98d458ac269e26ed2"},
+    {file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:34d1c8da1e78d2e001f363791c98a272bb734000fcef47a491c1e3b0505657a8"},
+    {file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:ff8fa367d09b717b2a17a052544193ad76cd49979c805768879cb63d9ca50561"},
+    {file = "charset_normalizer-3.3.2-cp39-cp39-win32.whl", hash = "sha256:aed38f6e4fb3f5d6bf81bfa990a07806be9d83cf7bacef998ab1a9bd660a581f"},
+    {file = "charset_normalizer-3.3.2-cp39-cp39-win_amd64.whl", hash = "sha256:b01b88d45a6fcb69667cd6d2f7a9aeb4bf53760d7fc536bf679ec94fe9f3ff3d"},
+    {file = "charset_normalizer-3.3.2-py3-none-any.whl", hash = "sha256:3e4d1f6587322d2788836a99c69062fbb091331ec940e02d12d179c1d53e25fc"},
+]
+
+[[package]]
+name = "click"
+version = "8.1.7"
+description = "Composable command line interface toolkit"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "click-8.1.7-py3-none-any.whl", hash = "sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28"},
+    {file = "click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de"},
+]
+
+[package.dependencies]
+colorama = {version = "*", markers = "platform_system == \"Windows\""}
+
+[[package]]
+name = "colorama"
+version = "0.4.6"
+description = "Cross-platform colored terminal text."
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
+files = [
+    {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
+    {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
+]
+
+[[package]]
+name = "cryptography"
+version = "42.0.8"
+description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "cryptography-42.0.8-cp37-abi3-macosx_10_12_universal2.whl", hash = "sha256:81d8a521705787afe7a18d5bfb47ea9d9cc068206270aad0b96a725022e18d2e"},
+    {file = "cryptography-42.0.8-cp37-abi3-macosx_10_12_x86_64.whl", hash = "sha256:961e61cefdcb06e0c6d7e3a1b22ebe8b996eb2bf50614e89384be54c48c6b63d"},
+    {file = "cryptography-42.0.8-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e3ec3672626e1b9e55afd0df6d774ff0e953452886e06e0f1eb7eb0c832e8902"},
+    {file = "cryptography-42.0.8-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e599b53fd95357d92304510fb7bda8523ed1f79ca98dce2f43c115950aa78801"},
+    {file = "cryptography-42.0.8-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:5226d5d21ab681f432a9c1cf8b658c0cb02533eece706b155e5fbd8a0cdd3949"},
+    {file = "cryptography-42.0.8-cp37-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:6b7c4f03ce01afd3b76cf69a5455caa9cfa3de8c8f493e0d3ab7d20611c8dae9"},
+    {file = "cryptography-42.0.8-cp37-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:2346b911eb349ab547076f47f2e035fc8ff2c02380a7cbbf8d87114fa0f1c583"},
+    {file = "cryptography-42.0.8-cp37-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:ad803773e9df0b92e0a817d22fd8a3675493f690b96130a5e24f1b8fabbea9c7"},
+    {file = "cryptography-42.0.8-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:2f66d9cd9147ee495a8374a45ca445819f8929a3efcd2e3df6428e46c3cbb10b"},
+    {file = "cryptography-42.0.8-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:d45b940883a03e19e944456a558b67a41160e367a719833c53de6911cabba2b7"},
+    {file = "cryptography-42.0.8-cp37-abi3-win32.whl", hash = "sha256:a0c5b2b0585b6af82d7e385f55a8bc568abff8923af147ee3c07bd8b42cda8b2"},
+    {file = "cryptography-42.0.8-cp37-abi3-win_amd64.whl", hash = "sha256:57080dee41209e556a9a4ce60d229244f7a66ef52750f813bfbe18959770cfba"},
+    {file = "cryptography-42.0.8-cp39-abi3-macosx_10_12_universal2.whl", hash = "sha256:dea567d1b0e8bc5764b9443858b673b734100c2871dc93163f58c46a97a83d28"},
+    {file = "cryptography-42.0.8-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c4783183f7cb757b73b2ae9aed6599b96338eb957233c58ca8f49a49cc32fd5e"},
+    {file = "cryptography-42.0.8-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a0608251135d0e03111152e41f0cc2392d1e74e35703960d4190b2e0f4ca9c70"},
+    {file = "cryptography-42.0.8-cp39-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:dc0fdf6787f37b1c6b08e6dfc892d9d068b5bdb671198c72072828b80bd5fe4c"},
+    {file = "cryptography-42.0.8-cp39-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:9c0c1716c8447ee7dbf08d6db2e5c41c688544c61074b54fc4564196f55c25a7"},
+    {file = "cryptography-42.0.8-cp39-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:fff12c88a672ab9c9c1cf7b0c80e3ad9e2ebd9d828d955c126be4fd3e5578c9e"},
+    {file = "cryptography-42.0.8-cp39-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:cafb92b2bc622cd1aa6a1dce4b93307792633f4c5fe1f46c6b97cf67073ec961"},
+    {file = "cryptography-42.0.8-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:31f721658a29331f895a5a54e7e82075554ccfb8b163a18719d342f5ffe5ecb1"},
+    {file = "cryptography-42.0.8-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:b297f90c5723d04bcc8265fc2a0f86d4ea2e0f7ab4b6994459548d3a6b992a14"},
+    {file = "cryptography-42.0.8-cp39-abi3-win32.whl", hash = "sha256:2f88d197e66c65be5e42cd72e5c18afbfae3f741742070e3019ac8f4ac57262c"},
+    {file = "cryptography-42.0.8-cp39-abi3-win_amd64.whl", hash = "sha256:fa76fbb7596cc5839320000cdd5d0955313696d9511debab7ee7278fc8b5c84a"},
+    {file = "cryptography-42.0.8-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:ba4f0a211697362e89ad822e667d8d340b4d8d55fae72cdd619389fb5912eefe"},
+    {file = "cryptography-42.0.8-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:81884c4d096c272f00aeb1f11cf62ccd39763581645b0812e99a91505fa48e0c"},
+    {file = "cryptography-42.0.8-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:c9bb2ae11bfbab395bdd072985abde58ea9860ed84e59dbc0463a5d0159f5b71"},
+    {file = "cryptography-42.0.8-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:7016f837e15b0a1c119d27ecd89b3515f01f90a8615ed5e9427e30d9cdbfed3d"},
+    {file = "cryptography-42.0.8-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:5a94eccb2a81a309806027e1670a358b99b8fe8bfe9f8d329f27d72c094dde8c"},
+    {file = "cryptography-42.0.8-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:dec9b018df185f08483f294cae6ccac29e7a6e0678996587363dc352dc65c842"},
+    {file = "cryptography-42.0.8-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:343728aac38decfdeecf55ecab3264b015be68fc2816ca800db649607aeee648"},
+    {file = "cryptography-42.0.8-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:013629ae70b40af70c9a7a5db40abe5d9054e6f4380e50ce769947b73bf3caad"},
+    {file = "cryptography-42.0.8.tar.gz", hash = "sha256:8d09d05439ce7baa8e9e95b07ec5b6c886f548deb7e0f69ef25f64b3bce842f2"},
+]
+
+[package.dependencies]
+cffi = {version = ">=1.12", markers = "platform_python_implementation != \"PyPy\""}
+
+[package.extras]
+docs = ["sphinx (>=5.3.0)", "sphinx-rtd-theme (>=1.1.1)"]
+docstest = ["pyenchant (>=1.6.11)", "readme-renderer", "sphinxcontrib-spelling (>=4.0.1)"]
+nox = ["nox"]
+pep8test = ["check-sdist", "click", "mypy", "ruff"]
+sdist = ["build"]
+ssh = ["bcrypt (>=3.1.5)"]
+test = ["certifi", "pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-xdist"]
+test-randomorder = ["pytest-randomly"]
+
+[[package]]
+name = "dataclasses-json"
+version = "0.6.7"
+description = "Easily serialize dataclasses to and from JSON."
+optional = false
+python-versions = "<4.0,>=3.7"
+files = [
+    {file = "dataclasses_json-0.6.7-py3-none-any.whl", hash = "sha256:0dbf33f26c8d5305befd61b39d2b3414e8a407bedc2834dea9b8d642666fb40a"},
+    {file = "dataclasses_json-0.6.7.tar.gz", hash = "sha256:b6b3e528266ea45b9535223bc53ca645f5208833c29229e847b3f26a1cc55fc0"},
+]
+
+[package.dependencies]
+marshmallow = ">=3.18.0,<4.0.0"
+typing-inspect = ">=0.4.0,<1"
+
+[[package]]
+name = "dill"
+version = "0.3.8"
+description = "serialize all of Python"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "dill-0.3.8-py3-none-any.whl", hash = "sha256:c36ca9ffb54365bdd2f8eb3eff7d2a21237f8452b57ace88b1ac615b7e815bd7"},
+    {file = "dill-0.3.8.tar.gz", hash = "sha256:3ebe3c479ad625c4553aca177444d89b486b1d84982eeacded644afc0cf797ca"},
+]
+
+[package.extras]
+graph = ["objgraph (>=1.7.2)"]
+profile = ["gprof2dot (>=2022.7.29)"]
+
+[[package]]
+name = "dnspython"
+version = "2.6.1"
+description = "DNS toolkit"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "dnspython-2.6.1-py3-none-any.whl", hash = "sha256:5ef3b9680161f6fa89daf8ad451b5f1a33b18ae8a1c6778cdf4b43f08c0a6e50"},
+    {file = "dnspython-2.6.1.tar.gz", hash = "sha256:e8f0f9c23a7b7cb99ded64e6c3a6f3e701d78f50c55e002b839dea7225cff7cc"},
+]
+
+[package.extras]
+dev = ["black (>=23.1.0)", "coverage (>=7.0)", "flake8 (>=7)", "mypy (>=1.8)", "pylint (>=3)", "pytest (>=7.4)", "pytest-cov (>=4.1.0)", "sphinx (>=7.2.0)", "twine (>=4.0.0)", "wheel (>=0.42.0)"]
+dnssec = ["cryptography (>=41)"]
+doh = ["h2 (>=4.1.0)", "httpcore (>=1.0.0)", "httpx (>=0.26.0)"]
+doq = ["aioquic (>=0.9.25)"]
+idna = ["idna (>=3.6)"]
+trio = ["trio (>=0.23)"]
+wmi = ["wmi (>=1.5.1)"]
+
+[[package]]
+name = "docstring-parser"
+version = "0.15"
+description = "Parse Python docstrings in reST, Google and Numpydoc format"
+optional = false
+python-versions = ">=3.6,<4.0"
+files = [
+    {file = "docstring_parser-0.15-py3-none-any.whl", hash = "sha256:d1679b86250d269d06a99670924d6bce45adc00b08069dae8c47d98e89b667a9"},
+    {file = "docstring_parser-0.15.tar.gz", hash = "sha256:48ddc093e8b1865899956fcc03b03e66bb7240c310fac5af81814580c55bf682"},
+]
+
+[[package]]
+name = "duckdb"
+version = "1.0.0"
+description = "DuckDB in-process database"
+optional = false
+python-versions = ">=3.7.0"
+files = [
+    {file = "duckdb-1.0.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:4a8ce2d1f9e1c23b9bab3ae4ca7997e9822e21563ff8f646992663f66d050211"},
+    {file = "duckdb-1.0.0-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:19797670f20f430196e48d25d082a264b66150c264c1e8eae8e22c64c2c5f3f5"},
+    {file = "duckdb-1.0.0-cp310-cp310-macosx_12_0_x86_64.whl", hash = "sha256:b71c342090fe117b35d866a91ad6bffce61cd6ff3e0cff4003f93fc1506da0d8"},
+    {file = "duckdb-1.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:25dd69f44ad212c35ae2ea736b0e643ea2b70f204b8dff483af1491b0e2a4cec"},
+    {file = "duckdb-1.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8da5f293ecb4f99daa9a9352c5fd1312a6ab02b464653a0c3a25ab7065c45d4d"},
+    {file = "duckdb-1.0.0-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3207936da9967ddbb60644ec291eb934d5819b08169bc35d08b2dedbe7068c60"},
+    {file = "duckdb-1.0.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:1128d6c9c33e883b1f5df6b57c1eb46b7ab1baf2650912d77ee769aaa05111f9"},
+    {file = "duckdb-1.0.0-cp310-cp310-win_amd64.whl", hash = "sha256:02310d263474d0ac238646677feff47190ffb82544c018b2ff732a4cb462c6ef"},
+    {file = "duckdb-1.0.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:75586791ab2702719c284157b65ecefe12d0cca9041da474391896ddd9aa71a4"},
+    {file = "duckdb-1.0.0-cp311-cp311-macosx_12_0_universal2.whl", hash = "sha256:83bb415fc7994e641344f3489e40430ce083b78963cb1057bf714ac3a58da3ba"},
+    {file = "duckdb-1.0.0-cp311-cp311-macosx_12_0_x86_64.whl", hash = "sha256:bee2e0b415074e84c5a2cefd91f6b5ebeb4283e7196ba4ef65175a7cef298b57"},
+    {file = "duckdb-1.0.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fa5a4110d2a499312609544ad0be61e85a5cdad90e5b6d75ad16b300bf075b90"},
+    {file = "duckdb-1.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5fa389e6a382d4707b5f3d1bc2087895925ebb92b77e9fe3bfb23c9b98372fdc"},
+    {file = "duckdb-1.0.0-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7ede6f5277dd851f1a4586b0c78dc93f6c26da45e12b23ee0e88c76519cbdbe0"},
+    {file = "duckdb-1.0.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:0b88cdbc0d5c3e3d7545a341784dc6cafd90fc035f17b2f04bf1e870c68456e5"},
+    {file = "duckdb-1.0.0-cp311-cp311-win_amd64.whl", hash = "sha256:fd1693cdd15375156f7fff4745debc14e5c54928589f67b87fb8eace9880c370"},
+    {file = "duckdb-1.0.0-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:c65a7fe8a8ce21b985356ee3ec0c3d3b3b2234e288e64b4cfb03356dbe6e5583"},
+    {file = "duckdb-1.0.0-cp312-cp312-macosx_12_0_universal2.whl", hash = "sha256:e5a8eda554379b3a43b07bad00968acc14dd3e518c9fbe8f128b484cf95e3d16"},
+    {file = "duckdb-1.0.0-cp312-cp312-macosx_12_0_x86_64.whl", hash = "sha256:a1b6acdd54c4a7b43bd7cb584975a1b2ff88ea1a31607a2b734b17960e7d3088"},
+    {file = "duckdb-1.0.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a677bb1b6a8e7cab4a19874249d8144296e6e39dae38fce66a80f26d15e670df"},
+    {file = "duckdb-1.0.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:752e9d412b0a2871bf615a2ede54be494c6dc289d076974eefbf3af28129c759"},
+    {file = "duckdb-1.0.0-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3aadb99d098c5e32d00dc09421bc63a47134a6a0de9d7cd6abf21780b678663c"},
+    {file = "duckdb-1.0.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:83b7091d4da3e9301c4f9378833f5ffe934fb1ad2b387b439ee067b2c10c8bb0"},
+    {file = "duckdb-1.0.0-cp312-cp312-win_amd64.whl", hash = "sha256:6a8058d0148b544694cb5ea331db44f6c2a00a7b03776cc4dd1470735c3d5ff7"},
+    {file = "duckdb-1.0.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e40cb20e5ee19d44bc66ec99969af791702a049079dc5f248c33b1c56af055f4"},
+    {file = "duckdb-1.0.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d7bce1bc0de9af9f47328e24e6e7e39da30093179b1c031897c042dd94a59c8e"},
+    {file = "duckdb-1.0.0-cp37-cp37m-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8355507f7a04bc0a3666958f4414a58e06141d603e91c0fa5a7c50e49867fb6d"},
+    {file = "duckdb-1.0.0-cp37-cp37m-musllinux_1_2_x86_64.whl", hash = "sha256:39f1a46f5a45ad2886dc9b02ce5b484f437f90de66c327f86606d9ba4479d475"},
+    {file = "duckdb-1.0.0-cp37-cp37m-win_amd64.whl", hash = "sha256:a6d29ba477b27ae41676b62c8fae8d04ee7cbe458127a44f6049888231ca58fa"},
+    {file = "duckdb-1.0.0-cp38-cp38-macosx_12_0_arm64.whl", hash = "sha256:1bea713c1925918714328da76e79a1f7651b2b503511498ccf5e007a7e67d49e"},
+    {file = "duckdb-1.0.0-cp38-cp38-macosx_12_0_universal2.whl", hash = "sha256:bfe67f3bcf181edbf6f918b8c963eb060e6aa26697d86590da4edc5707205450"},
+    {file = "duckdb-1.0.0-cp38-cp38-macosx_12_0_x86_64.whl", hash = "sha256:dbc6093a75242f002be1d96a6ace3fdf1d002c813e67baff52112e899de9292f"},
+    {file = "duckdb-1.0.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ba1881a2b11c507cee18f8fd9ef10100be066fddaa2c20fba1f9a664245cd6d8"},
+    {file = "duckdb-1.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:445d0bb35087c522705c724a75f9f1c13f1eb017305b694d2686218d653c8142"},
+    {file = "duckdb-1.0.0-cp38-cp38-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:224553432e84432ffb9684f33206572477049b371ce68cc313a01e214f2fbdda"},
+    {file = "duckdb-1.0.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:d3914032e47c4e76636ad986d466b63fdea65e37be8a6dfc484ed3f462c4fde4"},
+    {file = "duckdb-1.0.0-cp38-cp38-win_amd64.whl", hash = "sha256:af9128a2eb7e1bb50cd2c2020d825fb2946fdad0a2558920cd5411d998999334"},
+    {file = "duckdb-1.0.0-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:dd2659a5dbc0df0de68f617a605bf12fe4da85ba24f67c08730984a0892087e8"},
+    {file = "duckdb-1.0.0-cp39-cp39-macosx_12_0_universal2.whl", hash = "sha256:ac5a4afb0bc20725e734e0b2c17e99a274de4801aff0d4e765d276b99dad6d90"},
+    {file = "duckdb-1.0.0-cp39-cp39-macosx_12_0_x86_64.whl", hash = "sha256:2c5a53bee3668d6e84c0536164589d5127b23d298e4c443d83f55e4150fafe61"},
+    {file = "duckdb-1.0.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b980713244d7708b25ee0a73de0c65f0e5521c47a0e907f5e1b933d79d972ef6"},
+    {file = "duckdb-1.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:21cbd4f9fe7b7a56eff96c3f4d6778770dd370469ca2212eddbae5dd63749db5"},
+    {file = "duckdb-1.0.0-cp39-cp39-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ed228167c5d49888c5ef36f6f9cbf65011c2daf9dcb53ea8aa7a041ce567b3e4"},
+    {file = "duckdb-1.0.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:46d8395fbcea7231fd5032a250b673cc99352fef349b718a23dea2c0dd2b8dec"},
+    {file = "duckdb-1.0.0-cp39-cp39-win_amd64.whl", hash = "sha256:6ad1fc1a4d57e7616944166a5f9417bdbca1ea65c490797e3786e3a42e162d8a"},
+    {file = "duckdb-1.0.0.tar.gz", hash = "sha256:a2a059b77bc7d5b76ae9d88e267372deff19c291048d59450c431e166233d453"},
+]
+
+[[package]]
+name = "ecdsa"
+version = "0.19.0"
+description = "ECDSA cryptographic signature library (pure python)"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.6"
+files = [
+    {file = "ecdsa-0.19.0-py2.py3-none-any.whl", hash = "sha256:2cea9b88407fdac7bbeca0833b189e4c9c53f2ef1e1eaa29f6224dbc809b707a"},
+    {file = "ecdsa-0.19.0.tar.gz", hash = "sha256:60eaad1199659900dd0af521ed462b793bbdf867432b3948e87416ae4caf6bf8"},
+]
+
+[package.dependencies]
+six = ">=1.9.0"
+
+[package.extras]
+gmpy = ["gmpy"]
+gmpy2 = ["gmpy2"]
+
+[[package]]
+name = "email-validator"
+version = "2.2.0"
+description = "A robust email address syntax and deliverability validation library."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "email_validator-2.2.0-py3-none-any.whl", hash = "sha256:561977c2d73ce3611850a06fa56b414621e0c8faa9d66f2611407d87465da631"},
+    {file = "email_validator-2.2.0.tar.gz", hash = "sha256:cb690f344c617a714f22e66ae771445a1ceb46821152df8e165c5f9a364582b7"},
+]
+
+[package.dependencies]
+dnspython = ">=2.0.0"
+idna = ">=2.0.0"
+
+[[package]]
+name = "emoji"
+version = "2.12.1"
+description = "Emoji for Python"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "emoji-2.12.1-py3-none-any.whl", hash = "sha256:a00d62173bdadc2510967a381810101624a2f0986145b8da0cffa42e29430235"},
+    {file = "emoji-2.12.1.tar.gz", hash = "sha256:4aa0488817691aa58d83764b6c209f8a27c0b3ab3f89d1b8dceca1a62e4973eb"},
+]
+
+[package.dependencies]
+typing-extensions = ">=4.7.0"
+
+[package.extras]
+dev = ["coverage", "pytest (>=7.4.4)"]
+
+[[package]]
+name = "exceptiongroup"
+version = "1.2.1"
+description = "Backport of PEP 654 (exception groups)"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "exceptiongroup-1.2.1-py3-none-any.whl", hash = "sha256:5258b9ed329c5bbdd31a309f53cbfb0b155341807f6ff7606a1e801a891b29ad"},
+    {file = "exceptiongroup-1.2.1.tar.gz", hash = "sha256:a4785e48b045528f5bfe627b6ad554ff32def154f42372786903b7abcfe1aa16"},
+]
+
+[package.extras]
+test = ["pytest (>=6)"]
+
+[[package]]
+name = "fastapi"
+version = "0.111.0"
+description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "fastapi-0.111.0-py3-none-any.whl", hash = "sha256:97ecbf994be0bcbdadedf88c3150252bed7b2087075ac99735403b1b76cc8fc0"},
+    {file = "fastapi-0.111.0.tar.gz", hash = "sha256:b9db9dd147c91cb8b769f7183535773d8741dd46f9dc6676cd82eab510228cd7"},
+]
+
+[package.dependencies]
+email_validator = ">=2.0.0"
+fastapi-cli = ">=0.0.2"
+httpx = ">=0.23.0"
+jinja2 = ">=2.11.2"
+orjson = ">=3.2.1"
+pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.1.0 || >2.1.0,<3.0.0"
+python-multipart = ">=0.0.7"
+starlette = ">=0.37.2,<0.38.0"
+typing-extensions = ">=4.8.0"
+ujson = ">=4.0.1,<4.0.2 || >4.0.2,<4.1.0 || >4.1.0,<4.2.0 || >4.2.0,<4.3.0 || >4.3.0,<5.0.0 || >5.0.0,<5.1.0 || >5.1.0"
+uvicorn = {version = ">=0.12.0", extras = ["standard"]}
+
+[package.extras]
+all = ["email_validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
+
+[[package]]
+name = "fastapi-cli"
+version = "0.0.4"
+description = "Run and manage FastAPI apps from the command line with FastAPI CLI. 🚀"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "fastapi_cli-0.0.4-py3-none-any.whl", hash = "sha256:a2552f3a7ae64058cdbb530be6fa6dbfc975dc165e4fa66d224c3d396e25e809"},
+    {file = "fastapi_cli-0.0.4.tar.gz", hash = "sha256:e2e9ffaffc1f7767f488d6da34b6f5a377751c996f397902eb6abb99a67bde32"},
+]
+
+[package.dependencies]
+typer = ">=0.12.3"
+
+[package.extras]
+standard = ["fastapi", "uvicorn[standard] (>=0.15.0)"]
+
+[[package]]
+name = "frozenlist"
+version = "1.4.1"
+description = "A list-like structure which implements collections.abc.MutableSequence"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "frozenlist-1.4.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:f9aa1878d1083b276b0196f2dfbe00c9b7e752475ed3b682025ff20c1c1f51ac"},
+    {file = "frozenlist-1.4.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:29acab3f66f0f24674b7dc4736477bcd4bc3ad4b896f5f45379a67bce8b96868"},
+    {file = "frozenlist-1.4.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:74fb4bee6880b529a0c6560885fce4dc95936920f9f20f53d99a213f7bf66776"},
+    {file = "frozenlist-1.4.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:590344787a90ae57d62511dd7c736ed56b428f04cd8c161fcc5e7232c130c69a"},
+    {file = "frozenlist-1.4.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:068b63f23b17df8569b7fdca5517edef76171cf3897eb68beb01341131fbd2ad"},
+    {file = "frozenlist-1.4.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5c849d495bf5154cd8da18a9eb15db127d4dba2968d88831aff6f0331ea9bd4c"},
+    {file = "frozenlist-1.4.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9750cc7fe1ae3b1611bb8cfc3f9ec11d532244235d75901fb6b8e42ce9229dfe"},
+    {file = "frozenlist-1.4.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a9b2de4cf0cdd5bd2dee4c4f63a653c61d2408055ab77b151c1957f221cabf2a"},
+    {file = "frozenlist-1.4.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:0633c8d5337cb5c77acbccc6357ac49a1770b8c487e5b3505c57b949b4b82e98"},
+    {file = "frozenlist-1.4.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:27657df69e8801be6c3638054e202a135c7f299267f1a55ed3a598934f6c0d75"},
+    {file = "frozenlist-1.4.1-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:f9a3ea26252bd92f570600098783d1371354d89d5f6b7dfd87359d669f2109b5"},
+    {file = "frozenlist-1.4.1-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:4f57dab5fe3407b6c0c1cc907ac98e8a189f9e418f3b6e54d65a718aaafe3950"},
+    {file = "frozenlist-1.4.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:e02a0e11cf6597299b9f3bbd3f93d79217cb90cfd1411aec33848b13f5c656cc"},
+    {file = "frozenlist-1.4.1-cp310-cp310-win32.whl", hash = "sha256:a828c57f00f729620a442881cc60e57cfcec6842ba38e1b19fd3e47ac0ff8dc1"},
+    {file = "frozenlist-1.4.1-cp310-cp310-win_amd64.whl", hash = "sha256:f56e2333dda1fe0f909e7cc59f021eba0d2307bc6f012a1ccf2beca6ba362439"},
+    {file = "frozenlist-1.4.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:a0cb6f11204443f27a1628b0e460f37fb30f624be6051d490fa7d7e26d4af3d0"},
+    {file = "frozenlist-1.4.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b46c8ae3a8f1f41a0d2ef350c0b6e65822d80772fe46b653ab6b6274f61d4a49"},
+    {file = "frozenlist-1.4.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:fde5bd59ab5357e3853313127f4d3565fc7dad314a74d7b5d43c22c6a5ed2ced"},
+    {file = "frozenlist-1.4.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:722e1124aec435320ae01ee3ac7bec11a5d47f25d0ed6328f2273d287bc3abb0"},
+    {file = "frozenlist-1.4.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2471c201b70d58a0f0c1f91261542a03d9a5e088ed3dc6c160d614c01649c106"},
+    {file = "frozenlist-1.4.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c757a9dd70d72b076d6f68efdbb9bc943665ae954dad2801b874c8c69e185068"},
+    {file = "frozenlist-1.4.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f146e0911cb2f1da549fc58fc7bcd2b836a44b79ef871980d605ec392ff6b0d2"},
+    {file = "frozenlist-1.4.1-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4f9c515e7914626b2a2e1e311794b4c35720a0be87af52b79ff8e1429fc25f19"},
+    {file = "frozenlist-1.4.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:c302220494f5c1ebeb0912ea782bcd5e2f8308037b3c7553fad0e48ebad6ad82"},
+    {file = "frozenlist-1.4.1-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:442acde1e068288a4ba7acfe05f5f343e19fac87bfc96d89eb886b0363e977ec"},
+    {file = "frozenlist-1.4.1-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:1b280e6507ea8a4fa0c0a7150b4e526a8d113989e28eaaef946cc77ffd7efc0a"},
+    {file = "frozenlist-1.4.1-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:fe1a06da377e3a1062ae5fe0926e12b84eceb8a50b350ddca72dc85015873f74"},
+    {file = "frozenlist-1.4.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:db9e724bebd621d9beca794f2a4ff1d26eed5965b004a97f1f1685a173b869c2"},
+    {file = "frozenlist-1.4.1-cp311-cp311-win32.whl", hash = "sha256:e774d53b1a477a67838a904131c4b0eef6b3d8a651f8b138b04f748fccfefe17"},
+    {file = "frozenlist-1.4.1-cp311-cp311-win_amd64.whl", hash = "sha256:fb3c2db03683b5767dedb5769b8a40ebb47d6f7f45b1b3e3b4b51ec8ad9d9825"},
+    {file = "frozenlist-1.4.1-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:1979bc0aeb89b33b588c51c54ab0161791149f2461ea7c7c946d95d5f93b56ae"},
+    {file = "frozenlist-1.4.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:cc7b01b3754ea68a62bd77ce6020afaffb44a590c2289089289363472d13aedb"},
+    {file = "frozenlist-1.4.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:c9c92be9fd329ac801cc420e08452b70e7aeab94ea4233a4804f0915c14eba9b"},
+    {file = "frozenlist-1.4.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5c3894db91f5a489fc8fa6a9991820f368f0b3cbdb9cd8849547ccfab3392d86"},
+    {file = "frozenlist-1.4.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ba60bb19387e13597fb059f32cd4d59445d7b18b69a745b8f8e5db0346f33480"},
+    {file = "frozenlist-1.4.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8aefbba5f69d42246543407ed2461db31006b0f76c4e32dfd6f42215a2c41d09"},
+    {file = "frozenlist-1.4.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:780d3a35680ced9ce682fbcf4cb9c2bad3136eeff760ab33707b71db84664e3a"},
+    {file = "frozenlist-1.4.1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9acbb16f06fe7f52f441bb6f413ebae6c37baa6ef9edd49cdd567216da8600cd"},
+    {file = "frozenlist-1.4.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:23b701e65c7b36e4bf15546a89279bd4d8675faabc287d06bbcfac7d3c33e1e6"},
+    {file = "frozenlist-1.4.1-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:3e0153a805a98f5ada7e09826255ba99fb4f7524bb81bf6b47fb702666484ae1"},
+    {file = "frozenlist-1.4.1-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:dd9b1baec094d91bf36ec729445f7769d0d0cf6b64d04d86e45baf89e2b9059b"},
+    {file = "frozenlist-1.4.1-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:1a4471094e146b6790f61b98616ab8e44f72661879cc63fa1049d13ef711e71e"},
+    {file = "frozenlist-1.4.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:5667ed53d68d91920defdf4035d1cdaa3c3121dc0b113255124bcfada1cfa1b8"},
+    {file = "frozenlist-1.4.1-cp312-cp312-win32.whl", hash = "sha256:beee944ae828747fd7cb216a70f120767fc9f4f00bacae8543c14a6831673f89"},
+    {file = "frozenlist-1.4.1-cp312-cp312-win_amd64.whl", hash = "sha256:64536573d0a2cb6e625cf309984e2d873979709f2cf22839bf2d61790b448ad5"},
+    {file = "frozenlist-1.4.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:20b51fa3f588ff2fe658663db52a41a4f7aa6c04f6201449c6c7c476bd255c0d"},
+    {file = "frozenlist-1.4.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:410478a0c562d1a5bcc2f7ea448359fcb050ed48b3c6f6f4f18c313a9bdb1826"},
+    {file = "frozenlist-1.4.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:c6321c9efe29975232da3bd0af0ad216800a47e93d763ce64f291917a381b8eb"},
+    {file = "frozenlist-1.4.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:48f6a4533887e189dae092f1cf981f2e3885175f7a0f33c91fb5b7b682b6bab6"},
+    {file = "frozenlist-1.4.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6eb73fa5426ea69ee0e012fb59cdc76a15b1283d6e32e4f8dc4482ec67d1194d"},
+    {file = "frozenlist-1.4.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:fbeb989b5cc29e8daf7f976b421c220f1b8c731cbf22b9130d8815418ea45887"},
+    {file = "frozenlist-1.4.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:32453c1de775c889eb4e22f1197fe3bdfe457d16476ea407472b9442e6295f7a"},
+    {file = "frozenlist-1.4.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:693945278a31f2086d9bf3df0fe8254bbeaef1fe71e1351c3bd730aa7d31c41b"},
+    {file = "frozenlist-1.4.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:1d0ce09d36d53bbbe566fe296965b23b961764c0bcf3ce2fa45f463745c04701"},
+    {file = "frozenlist-1.4.1-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:3a670dc61eb0d0eb7080890c13de3066790f9049b47b0de04007090807c776b0"},
+    {file = "frozenlist-1.4.1-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:dca69045298ce5c11fd539682cff879cc1e664c245d1c64da929813e54241d11"},
+    {file = "frozenlist-1.4.1-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:a06339f38e9ed3a64e4c4e43aec7f59084033647f908e4259d279a52d3757d09"},
+    {file = "frozenlist-1.4.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:b7f2f9f912dca3934c1baec2e4585a674ef16fe00218d833856408c48d5beee7"},
+    {file = "frozenlist-1.4.1-cp38-cp38-win32.whl", hash = "sha256:e7004be74cbb7d9f34553a5ce5fb08be14fb33bc86f332fb71cbe5216362a497"},
+    {file = "frozenlist-1.4.1-cp38-cp38-win_amd64.whl", hash = "sha256:5a7d70357e7cee13f470c7883a063aae5fe209a493c57d86eb7f5a6f910fae09"},
+    {file = "frozenlist-1.4.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:bfa4a17e17ce9abf47a74ae02f32d014c5e9404b6d9ac7f729e01562bbee601e"},
+    {file = "frozenlist-1.4.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:b7e3ed87d4138356775346e6845cccbe66cd9e207f3cd11d2f0b9fd13681359d"},
+    {file = "frozenlist-1.4.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:c99169d4ff810155ca50b4da3b075cbde79752443117d89429595c2e8e37fed8"},
+    {file = "frozenlist-1.4.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:edb678da49d9f72c9f6c609fbe41a5dfb9a9282f9e6a2253d5a91e0fc382d7c0"},
+    {file = "frozenlist-1.4.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6db4667b187a6742b33afbbaf05a7bc551ffcf1ced0000a571aedbb4aa42fc7b"},
+    {file = "frozenlist-1.4.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:55fdc093b5a3cb41d420884cdaf37a1e74c3c37a31f46e66286d9145d2063bd0"},
+    {file = "frozenlist-1.4.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:82e8211d69a4f4bc360ea22cd6555f8e61a1bd211d1d5d39d3d228b48c83a897"},
+    {file = "frozenlist-1.4.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:89aa2c2eeb20957be2d950b85974b30a01a762f3308cd02bb15e1ad632e22dc7"},
+    {file = "frozenlist-1.4.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:9d3e0c25a2350080e9319724dede4f31f43a6c9779be48021a7f4ebde8b2d742"},
+    {file = "frozenlist-1.4.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:7268252af60904bf52c26173cbadc3a071cece75f873705419c8681f24d3edea"},
+    {file = "frozenlist-1.4.1-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:0c250a29735d4f15321007fb02865f0e6b6a41a6b88f1f523ca1596ab5f50bd5"},
+    {file = "frozenlist-1.4.1-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:96ec70beabbd3b10e8bfe52616a13561e58fe84c0101dd031dc78f250d5128b9"},
+    {file = "frozenlist-1.4.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:23b2d7679b73fe0e5a4560b672a39f98dfc6f60df63823b0a9970525325b95f6"},
+    {file = "frozenlist-1.4.1-cp39-cp39-win32.whl", hash = "sha256:a7496bfe1da7fb1a4e1cc23bb67c58fab69311cc7d32b5a99c2007b4b2a0e932"},
+    {file = "frozenlist-1.4.1-cp39-cp39-win_amd64.whl", hash = "sha256:e6a20a581f9ce92d389a8c7d7c3dd47c81fd5d6e655c8dddf341e14aa48659d0"},
+    {file = "frozenlist-1.4.1-py3-none-any.whl", hash = "sha256:04ced3e6a46b4cfffe20f9ae482818e34eba9b5fb0ce4056e4cc9b6e212d09b7"},
+    {file = "frozenlist-1.4.1.tar.gz", hash = "sha256:c037a86e8513059a2613aaba4d817bb90b9d9b6b69aace3ce9c877e8c8ed402b"},
+]
+
+[[package]]
+name = "greenlet"
+version = "3.0.3"
+description = "Lightweight in-process concurrent programming"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "greenlet-3.0.3-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:9da2bd29ed9e4f15955dd1595ad7bc9320308a3b766ef7f837e23ad4b4aac31a"},
+    {file = "greenlet-3.0.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d353cadd6083fdb056bb46ed07e4340b0869c305c8ca54ef9da3421acbdf6881"},
+    {file = "greenlet-3.0.3-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:dca1e2f3ca00b84a396bc1bce13dd21f680f035314d2379c4160c98153b2059b"},
+    {file = "greenlet-3.0.3-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3ed7fb269f15dc662787f4119ec300ad0702fa1b19d2135a37c2c4de6fadfd4a"},
+    {file = "greenlet-3.0.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dd4f49ae60e10adbc94b45c0b5e6a179acc1736cf7a90160b404076ee283cf83"},
+    {file = "greenlet-3.0.3-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:73a411ef564e0e097dbe7e866bb2dda0f027e072b04da387282b02c308807405"},
+    {file = "greenlet-3.0.3-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:7f362975f2d179f9e26928c5b517524e89dd48530a0202570d55ad6ca5d8a56f"},
+    {file = "greenlet-3.0.3-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:649dde7de1a5eceb258f9cb00bdf50e978c9db1b996964cd80703614c86495eb"},
+    {file = "greenlet-3.0.3-cp310-cp310-win_amd64.whl", hash = "sha256:68834da854554926fbedd38c76e60c4a2e3198c6fbed520b106a8986445caaf9"},
+    {file = "greenlet-3.0.3-cp311-cp311-macosx_11_0_universal2.whl", hash = "sha256:b1b5667cced97081bf57b8fa1d6bfca67814b0afd38208d52538316e9422fc61"},
+    {file = "greenlet-3.0.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:52f59dd9c96ad2fc0d5724107444f76eb20aaccb675bf825df6435acb7703559"},
+    {file = "greenlet-3.0.3-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:afaff6cf5200befd5cec055b07d1c0a5a06c040fe5ad148abcd11ba6ab9b114e"},
+    {file = "greenlet-3.0.3-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:fe754d231288e1e64323cfad462fcee8f0288654c10bdf4f603a39ed923bef33"},
+    {file = "greenlet-3.0.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2797aa5aedac23af156bbb5a6aa2cd3427ada2972c828244eb7d1b9255846379"},
+    {file = "greenlet-3.0.3-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b7f009caad047246ed379e1c4dbcb8b020f0a390667ea74d2387be2998f58a22"},
+    {file = "greenlet-3.0.3-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:c5e1536de2aad7bf62e27baf79225d0d64360d4168cf2e6becb91baf1ed074f3"},
+    {file = "greenlet-3.0.3-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:894393ce10ceac937e56ec00bb71c4c2f8209ad516e96033e4b3b1de270e200d"},
+    {file = "greenlet-3.0.3-cp311-cp311-win_amd64.whl", hash = "sha256:1ea188d4f49089fc6fb283845ab18a2518d279c7cd9da1065d7a84e991748728"},
+    {file = "greenlet-3.0.3-cp312-cp312-macosx_11_0_universal2.whl", hash = "sha256:70fb482fdf2c707765ab5f0b6655e9cfcf3780d8d87355a063547b41177599be"},
+    {file = "greenlet-3.0.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d4d1ac74f5c0c0524e4a24335350edad7e5f03b9532da7ea4d3c54d527784f2e"},
+    {file = "greenlet-3.0.3-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:149e94a2dd82d19838fe4b2259f1b6b9957d5ba1b25640d2380bea9c5df37676"},
+    {file = "greenlet-3.0.3-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:15d79dd26056573940fcb8c7413d84118086f2ec1a8acdfa854631084393efcc"},
+    {file = "greenlet-3.0.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:881b7db1ebff4ba09aaaeae6aa491daeb226c8150fc20e836ad00041bcb11230"},
+    {file = "greenlet-3.0.3-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:fcd2469d6a2cf298f198f0487e0a5b1a47a42ca0fa4dfd1b6862c999f018ebbf"},
+    {file = "greenlet-3.0.3-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:1f672519db1796ca0d8753f9e78ec02355e862d0998193038c7073045899f305"},
+    {file = "greenlet-3.0.3-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:2516a9957eed41dd8f1ec0c604f1cdc86758b587d964668b5b196a9db5bfcde6"},
+    {file = "greenlet-3.0.3-cp312-cp312-win_amd64.whl", hash = "sha256:bba5387a6975598857d86de9eac14210a49d554a77eb8261cc68b7d082f78ce2"},
+    {file = "greenlet-3.0.3-cp37-cp37m-macosx_11_0_universal2.whl", hash = "sha256:5b51e85cb5ceda94e79d019ed36b35386e8c37d22f07d6a751cb659b180d5274"},
+    {file = "greenlet-3.0.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:daf3cb43b7cf2ba96d614252ce1684c1bccee6b2183a01328c98d36fcd7d5cb0"},
+    {file = "greenlet-3.0.3-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:99bf650dc5d69546e076f413a87481ee1d2d09aaaaaca058c9251b6d8c14783f"},
+    {file = "greenlet-3.0.3-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2dd6e660effd852586b6a8478a1d244b8dc90ab5b1321751d2ea15deb49ed414"},
+    {file = "greenlet-3.0.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e3391d1e16e2a5a1507d83e4a8b100f4ee626e8eca43cf2cadb543de69827c4c"},
+    {file = "greenlet-3.0.3-cp37-cp37m-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:e1f145462f1fa6e4a4ae3c0f782e580ce44d57c8f2c7aae1b6fa88c0b2efdb41"},
+    {file = "greenlet-3.0.3-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:1a7191e42732df52cb5f39d3527217e7ab73cae2cb3694d241e18f53d84ea9a7"},
+    {file = "greenlet-3.0.3-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:0448abc479fab28b00cb472d278828b3ccca164531daab4e970a0458786055d6"},
+    {file = "greenlet-3.0.3-cp37-cp37m-win32.whl", hash = "sha256:b542be2440edc2d48547b5923c408cbe0fc94afb9f18741faa6ae970dbcb9b6d"},
+    {file = "greenlet-3.0.3-cp37-cp37m-win_amd64.whl", hash = "sha256:01bc7ea167cf943b4c802068e178bbf70ae2e8c080467070d01bfa02f337ee67"},
+    {file = "greenlet-3.0.3-cp38-cp38-macosx_11_0_universal2.whl", hash = "sha256:1996cb9306c8595335bb157d133daf5cf9f693ef413e7673cb07e3e5871379ca"},
+    {file = "greenlet-3.0.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3ddc0f794e6ad661e321caa8d2f0a55ce01213c74722587256fb6566049a8b04"},
+    {file = "greenlet-3.0.3-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c9db1c18f0eaad2f804728c67d6c610778456e3e1cc4ab4bbd5eeb8e6053c6fc"},
+    {file = "greenlet-3.0.3-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7170375bcc99f1a2fbd9c306f5be8764eaf3ac6b5cb968862cad4c7057756506"},
+    {file = "greenlet-3.0.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6b66c9c1e7ccabad3a7d037b2bcb740122a7b17a53734b7d72a344ce39882a1b"},
+    {file = "greenlet-3.0.3-cp38-cp38-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:098d86f528c855ead3479afe84b49242e174ed262456c342d70fc7f972bc13c4"},
+    {file = "greenlet-3.0.3-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:81bb9c6d52e8321f09c3d165b2a78c680506d9af285bfccbad9fb7ad5a5da3e5"},
+    {file = "greenlet-3.0.3-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:fd096eb7ffef17c456cfa587523c5f92321ae02427ff955bebe9e3c63bc9f0da"},
+    {file = "greenlet-3.0.3-cp38-cp38-win32.whl", hash = "sha256:d46677c85c5ba00a9cb6f7a00b2bfa6f812192d2c9f7d9c4f6a55b60216712f3"},
+    {file = "greenlet-3.0.3-cp38-cp38-win_amd64.whl", hash = "sha256:419b386f84949bf0e7c73e6032e3457b82a787c1ab4a0e43732898a761cc9dbf"},
+    {file = "greenlet-3.0.3-cp39-cp39-macosx_11_0_universal2.whl", hash = "sha256:da70d4d51c8b306bb7a031d5cff6cc25ad253affe89b70352af5f1cb68e74b53"},
+    {file = "greenlet-3.0.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:086152f8fbc5955df88382e8a75984e2bb1c892ad2e3c80a2508954e52295257"},
+    {file = "greenlet-3.0.3-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d73a9fe764d77f87f8ec26a0c85144d6a951a6c438dfe50487df5595c6373eac"},
+    {file = "greenlet-3.0.3-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b7dcbe92cc99f08c8dd11f930de4d99ef756c3591a5377d1d9cd7dd5e896da71"},
+    {file = "greenlet-3.0.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1551a8195c0d4a68fac7a4325efac0d541b48def35feb49d803674ac32582f61"},
+    {file = "greenlet-3.0.3-cp39-cp39-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:64d7675ad83578e3fc149b617a444fab8efdafc9385471f868eb5ff83e446b8b"},
+    {file = "greenlet-3.0.3-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:b37eef18ea55f2ffd8f00ff8fe7c8d3818abd3e25fb73fae2ca3b672e333a7a6"},
+    {file = "greenlet-3.0.3-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:77457465d89b8263bca14759d7c1684df840b6811b2499838cc5b040a8b5b113"},
+    {file = "greenlet-3.0.3-cp39-cp39-win32.whl", hash = "sha256:57e8974f23e47dac22b83436bdcf23080ade568ce77df33159e019d161ce1d1e"},
+    {file = "greenlet-3.0.3-cp39-cp39-win_amd64.whl", hash = "sha256:c5ee858cfe08f34712f548c3c363e807e7186f03ad7a5039ebadb29e8c6be067"},
+    {file = "greenlet-3.0.3.tar.gz", hash = "sha256:43374442353259554ce33599da8b692d5aa96f8976d567d4badf263371fbe491"},
+]
+
+[package.extras]
+docs = ["Sphinx", "furo"]
+test = ["objgraph", "psutil"]
+
+[[package]]
+name = "gunicorn"
+version = "22.0.0"
+description = "WSGI HTTP Server for UNIX"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "gunicorn-22.0.0-py3-none-any.whl", hash = "sha256:350679f91b24062c86e386e198a15438d53a7a8207235a78ba1b53df4c4378d9"},
+    {file = "gunicorn-22.0.0.tar.gz", hash = "sha256:4a0b436239ff76fb33f11c07a16482c521a7e09c1ce3cc293c2330afe01bec63"},
+]
+
+[package.dependencies]
+packaging = "*"
+
+[package.extras]
+eventlet = ["eventlet (>=0.24.1,!=0.36.0)"]
+gevent = ["gevent (>=1.4.0)"]
+setproctitle = ["setproctitle"]
+testing = ["coverage", "eventlet", "gevent", "pytest", "pytest-cov"]
+tornado = ["tornado (>=0.2)"]
+
+[[package]]
+name = "h11"
+version = "0.14.0"
+description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "h11-0.14.0-py3-none-any.whl", hash = "sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761"},
+    {file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"},
+]
+
+[[package]]
+name = "httpcore"
+version = "1.0.5"
+description = "A minimal low-level HTTP client."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "httpcore-1.0.5-py3-none-any.whl", hash = "sha256:421f18bac248b25d310f3cacd198d55b8e6125c107797b609ff9b7a6ba7991b5"},
+    {file = "httpcore-1.0.5.tar.gz", hash = "sha256:34a38e2f9291467ee3b44e89dd52615370e152954ba21721378a87b2960f7a61"},
+]
+
+[package.dependencies]
+certifi = "*"
+h11 = ">=0.13,<0.15"
+
+[package.extras]
+asyncio = ["anyio (>=4.0,<5.0)"]
+http2 = ["h2 (>=3,<5)"]
+socks = ["socksio (==1.*)"]
+trio = ["trio (>=0.22.0,<0.26.0)"]
+
+[[package]]
+name = "httptools"
+version = "0.6.1"
+description = "A collection of framework independent HTTP protocol utils."
+optional = false
+python-versions = ">=3.8.0"
+files = [
+    {file = "httptools-0.6.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d2f6c3c4cb1948d912538217838f6e9960bc4a521d7f9b323b3da579cd14532f"},
+    {file = "httptools-0.6.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:00d5d4b68a717765b1fabfd9ca755bd12bf44105eeb806c03d1962acd9b8e563"},
+    {file = "httptools-0.6.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:639dc4f381a870c9ec860ce5c45921db50205a37cc3334e756269736ff0aac58"},
+    {file = "httptools-0.6.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e57997ac7fb7ee43140cc03664de5f268813a481dff6245e0075925adc6aa185"},
+    {file = "httptools-0.6.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:0ac5a0ae3d9f4fe004318d64b8a854edd85ab76cffbf7ef5e32920faef62f142"},
+    {file = "httptools-0.6.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:3f30d3ce413088a98b9db71c60a6ada2001a08945cb42dd65a9a9fe228627658"},
+    {file = "httptools-0.6.1-cp310-cp310-win_amd64.whl", hash = "sha256:1ed99a373e327f0107cb513b61820102ee4f3675656a37a50083eda05dc9541b"},
+    {file = "httptools-0.6.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:7a7ea483c1a4485c71cb5f38be9db078f8b0e8b4c4dc0210f531cdd2ddac1ef1"},
+    {file = "httptools-0.6.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:85ed077c995e942b6f1b07583e4eb0a8d324d418954fc6af913d36db7c05a5a0"},
+    {file = "httptools-0.6.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8b0bb634338334385351a1600a73e558ce619af390c2b38386206ac6a27fecfc"},
+    {file = "httptools-0.6.1-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7d9ceb2c957320def533671fc9c715a80c47025139c8d1f3797477decbc6edd2"},
+    {file = "httptools-0.6.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:4f0f8271c0a4db459f9dc807acd0eadd4839934a4b9b892f6f160e94da309837"},
+    {file = "httptools-0.6.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:6a4f5ccead6d18ec072ac0b84420e95d27c1cdf5c9f1bc8fbd8daf86bd94f43d"},
+    {file = "httptools-0.6.1-cp311-cp311-win_amd64.whl", hash = "sha256:5cceac09f164bcba55c0500a18fe3c47df29b62353198e4f37bbcc5d591172c3"},
+    {file = "httptools-0.6.1-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:75c8022dca7935cba14741a42744eee13ba05db00b27a4b940f0d646bd4d56d0"},
+    {file = "httptools-0.6.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:48ed8129cd9a0d62cf4d1575fcf90fb37e3ff7d5654d3a5814eb3d55f36478c2"},
+    {file = "httptools-0.6.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6f58e335a1402fb5a650e271e8c2d03cfa7cea46ae124649346d17bd30d59c90"},
+    {file = "httptools-0.6.1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:93ad80d7176aa5788902f207a4e79885f0576134695dfb0fefc15b7a4648d503"},
+    {file = "httptools-0.6.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:9bb68d3a085c2174c2477eb3ffe84ae9fb4fde8792edb7bcd09a1d8467e30a84"},
+    {file = "httptools-0.6.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:b512aa728bc02354e5ac086ce76c3ce635b62f5fbc32ab7082b5e582d27867bb"},
+    {file = "httptools-0.6.1-cp312-cp312-win_amd64.whl", hash = "sha256:97662ce7fb196c785344d00d638fc9ad69e18ee4bfb4000b35a52efe5adcc949"},
+    {file = "httptools-0.6.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:8e216a038d2d52ea13fdd9b9c9c7459fb80d78302b257828285eca1c773b99b3"},
+    {file = "httptools-0.6.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:3e802e0b2378ade99cd666b5bffb8b2a7cc8f3d28988685dc300469ea8dd86cb"},
+    {file = "httptools-0.6.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4bd3e488b447046e386a30f07af05f9b38d3d368d1f7b4d8f7e10af85393db97"},
+    {file = "httptools-0.6.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fe467eb086d80217b7584e61313ebadc8d187a4d95bb62031b7bab4b205c3ba3"},
+    {file = "httptools-0.6.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:3c3b214ce057c54675b00108ac42bacf2ab8f85c58e3f324a4e963bbc46424f4"},
+    {file = "httptools-0.6.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:8ae5b97f690badd2ca27cbf668494ee1b6d34cf1c464271ef7bfa9ca6b83ffaf"},
+    {file = "httptools-0.6.1-cp38-cp38-win_amd64.whl", hash = "sha256:405784577ba6540fa7d6ff49e37daf104e04f4b4ff2d1ac0469eaa6a20fde084"},
+    {file = "httptools-0.6.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:95fb92dd3649f9cb139e9c56604cc2d7c7bf0fc2e7c8d7fbd58f96e35eddd2a3"},
+    {file = "httptools-0.6.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:dcbab042cc3ef272adc11220517278519adf8f53fd3056d0e68f0a6f891ba94e"},
+    {file = "httptools-0.6.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0cf2372e98406efb42e93bfe10f2948e467edfd792b015f1b4ecd897903d3e8d"},
+    {file = "httptools-0.6.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:678fcbae74477a17d103b7cae78b74800d795d702083867ce160fc202104d0da"},
+    {file = "httptools-0.6.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:e0b281cf5a125c35f7f6722b65d8542d2e57331be573e9e88bc8b0115c4a7a81"},
+    {file = "httptools-0.6.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:95658c342529bba4e1d3d2b1a874db16c7cca435e8827422154c9da76ac4e13a"},
+    {file = "httptools-0.6.1-cp39-cp39-win_amd64.whl", hash = "sha256:7ebaec1bf683e4bf5e9fbb49b8cc36da482033596a415b3e4ebab5a4c0d7ec5e"},
+    {file = "httptools-0.6.1.tar.gz", hash = "sha256:c6e26c30455600b95d94b1b836085138e82f177351454ee841c148f93a9bad5a"},
+]
+
+[package.extras]
+test = ["Cython (>=0.29.24,<0.30.0)"]
+
+[[package]]
+name = "httpx"
+version = "0.27.0"
+description = "The next generation HTTP client."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "httpx-0.27.0-py3-none-any.whl", hash = "sha256:71d5465162c13681bff01ad59b2cc68dd838ea1f10e51574bac27103f00c91a5"},
+    {file = "httpx-0.27.0.tar.gz", hash = "sha256:a0cb88a46f32dc874e04ee956e4c2764aba2aa228f650b06788ba6bda2962ab5"},
+]
+
+[package.dependencies]
+anyio = "*"
+certifi = "*"
+httpcore = "==1.*"
+idna = "*"
+sniffio = "*"
+
+[package.extras]
+brotli = ["brotli", "brotlicffi"]
+cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
+http2 = ["h2 (>=3,<5)"]
+socks = ["socksio (==1.*)"]
+
+[[package]]
+name = "idna"
+version = "3.7"
+description = "Internationalized Domain Names in Applications (IDNA)"
+optional = false
+python-versions = ">=3.5"
+files = [
+    {file = "idna-3.7-py3-none-any.whl", hash = "sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0"},
+    {file = "idna-3.7.tar.gz", hash = "sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc"},
+]
+
+[[package]]
+name = "jinja2"
+version = "3.1.4"
+description = "A very fast and expressive template engine."
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "jinja2-3.1.4-py3-none-any.whl", hash = "sha256:bc5dd2abb727a5319567b7a813e6a2e7318c39f4f487cfe6c89c6f9c7d25197d"},
+    {file = "jinja2-3.1.4.tar.gz", hash = "sha256:4a3aee7acbbe7303aede8e9648d13b8bf88a429282aa6122a993f0ac800cb369"},
+]
+
+[package.dependencies]
+MarkupSafe = ">=2.0"
+
+[package.extras]
+i18n = ["Babel (>=2.7)"]
+
+[[package]]
+name = "jq"
+version = "1.7.0"
+description = "jq is a lightweight and flexible JSON processor."
+optional = false
+python-versions = ">=3.5"
+files = [
+    {file = "jq-1.7.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d8fae014fa8b2704322a5baa39c112176d9acb71e22ebdb8e21c1c864ecff654"},
+    {file = "jq-1.7.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:40fe068d1fdf2c712885b69be90ddb3e61bca3e4346ab3994641a4fbbeb7be82"},
+    {file = "jq-1.7.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8ec105a0057f2f922d195e1d75d4b0ae41c4b38655ead04d1a3a47988fcb1939"},
+    {file = "jq-1.7.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:38e2041ca578275334eff9e1d913ae386210345e5ae71cd9c16e3f208dc81deb"},
+    {file = "jq-1.7.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ce1df1b6fffeeeb265d4ea3397e9875ab170ba5a7af6b7997c2fd755934df065"},
+    {file = "jq-1.7.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:05ebdaa868f068967d9e7cbf76e59e61fbdafa565dbc3579c387fb1f248592bb"},
+    {file = "jq-1.7.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:b3f916cb812fcd26bb1b006634d9c0eff240090196ca0ebb5d229b344f624e53"},
+    {file = "jq-1.7.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:9ad7749a16a16bafd6cebafd5e40990b641b4b6b7b661326864677effc44a500"},
+    {file = "jq-1.7.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:2e99ea17b708f55e8bed2f4f68c022119184b17eb15987b384db12e8b6702bd5"},
+    {file = "jq-1.7.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:76735cd19de65c15964d330adbc2c84add8e55dea35ebfe17b9acf88a06a7d57"},
+    {file = "jq-1.7.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c6b841ddd9089429fc0621d07d1c34ff24f7d6a6245c10125b82806f61e36ae8"},
+    {file = "jq-1.7.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1d6b1fc2515b7be92195d50b68f82329cc0250c7fbca790b887d74902ba33870"},
+    {file = "jq-1.7.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:eb6546a57a3ceeed41961be2f1417b4e7a5b3170cca7bb82f5974d2ba9acaab6"},
+    {file = "jq-1.7.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:3427ad0f377f188953958e36b76167c8d11b8c8c61575c22deafa4aba58d601f"},
+    {file = "jq-1.7.0-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:79b9603219fa5082df97d265d71c426613286bd0e5378a8739ce39056fa1e2dc"},
+    {file = "jq-1.7.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:a2981a24765a747163e0daa23648372b72a006e727895b95d032632aa51094bd"},
+    {file = "jq-1.7.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:a0cc15b2ed511a1a8784c7c7dc07781e28d84a65934062de52487578732e0514"},
+    {file = "jq-1.7.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:90032c2c4e710157d333d166818ede8b9c8ef0f697e59c9427304edc47146f3d"},
+    {file = "jq-1.7.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e715d5f0bdfc0be0ff33cd0a3f6f51f8bc5ad464fab737e2048a1b46b45bb582"},
+    {file = "jq-1.7.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:76cc5a1ca3a540a5753dbd592f701c1ec7c9cc256becba604490283c055f3f1c"},
+    {file = "jq-1.7.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:293b6e8e4b652d96fdeae7dd5ffb1644199d8b6fc1f95d528c16451925c0482e"},
+    {file = "jq-1.7.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:f103868b8902d4ee7f643248bdd7a2de9f9396e4b262f42745b9f624c834d07a"},
+    {file = "jq-1.7.0-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:e9c5ccfa3cf65f92b60c5805ef725f7cd799f2dc16e8601c6e8f12f38a9f48f3"},
+    {file = "jq-1.7.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:0ca25608d51fdbf8bd5c682b433e1cb9f497155a7c1ea5901524df099f1ceff3"},
+    {file = "jq-1.7.0-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:6a2d34d962ce2da5136dab2664fc7efad9f71024d0dc328702f2dc70b4e2735c"},
+    {file = "jq-1.7.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:757e8c4cb0cb1175f0aaa227f0a26e4765ba5da04d0bc875b0bd933eff6bd0a0"},
+    {file = "jq-1.7.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2d097098a628171b87961fb0400117ac340b1eb40cbbee2e58208c4254c23c20"},
+    {file = "jq-1.7.0-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:45bc842806d71bd5839c190a88fd071ac5a0a8a1dd601e83228494a19f14559c"},
+    {file = "jq-1.7.0-cp36-cp36m-musllinux_1_1_aarch64.whl", hash = "sha256:f0629743417f8709305d1f77d3929493912efdc3fd1cce3a7fcc76b81bc6b82d"},
+    {file = "jq-1.7.0-cp36-cp36m-musllinux_1_1_i686.whl", hash = "sha256:9b9a49e8b14d3a368011ed1412c8c3e193a7135d5eb4310d77ee643470112b47"},
+    {file = "jq-1.7.0-cp36-cp36m-musllinux_1_1_x86_64.whl", hash = "sha256:a10e3f88b6d2bbb4c47b368f919ec7b648196bf9c60a5cc921d04239d68240c2"},
+    {file = "jq-1.7.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:aa85b47effb4152e1cf1120607f475a1c11395d072323ff23e8bb59ce6752713"},
+    {file = "jq-1.7.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9413f67ea28037e37ccf8951f9f0b380f31d79162f33e216faa6bd0d8eca0dc7"},
+    {file = "jq-1.7.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3daf3b3443c4e871c23ac1e698eb70d1225b46a4ac79c73968234adcd70f3ed8"},
+    {file = "jq-1.7.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:dbe03f95ab02dc045691c3b5c7da8d8c2128e60450fb2124ea8b49034c74f158"},
+    {file = "jq-1.7.0-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:a6b2e9f4e63644a30726c58c25d80015f9b83325b125615a46e10d4439b9dc99"},
+    {file = "jq-1.7.0-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:9fffcffc8e56585223878edd7c5d719eb8547281d64af2bac43911f1bb9e7029"},
+    {file = "jq-1.7.0-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:95d4bcd5a999ce0aaadaadcaca967989f0efc96c1097a81746b21b6126cf7aaf"},
+    {file = "jq-1.7.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:0137445eb67c43eb0eb46933aff7e8afbbd6c5aaf8574efd5df536dc9d177d1d"},
+    {file = "jq-1.7.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4ee0e9307b6d4fe89a8556a92c1db65e0d66218bcc13fdeb92a09645a55ff87a"},
+    {file = "jq-1.7.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4e0f95cecb690df66f23a8d76c746d2ed15671de3f6101140e3fe2b98b97e0a8"},
+    {file = "jq-1.7.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:95e472aa54efe418d3627dcd2a369ac0b21e1a5e352550144fd5f0c40585a5b7"},
+    {file = "jq-1.7.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:4be2a2b56fa139f3235cdb8422ea16eccdd48d62bf91d9fac10761cd55d26c84"},
+    {file = "jq-1.7.0-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:7db8260ecb57827bb3fb6f44d4a6f0db0570ded990eee95a5fd3ac9ba14f60d7"},
+    {file = "jq-1.7.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:fdbb7ff2dfce2cc0f421f498dcb64176997bd9d9e6cab474e59577e7bff3090d"},
+    {file = "jq-1.7.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:396bef4b4c9c1ebe3e0e04e287bc79a861b991e12db45681c398d3906ee85468"},
+    {file = "jq-1.7.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:18d8a81c6e241585a0bf748903082d65c4eaa6ba80248f507e5cebda36e05c6c"},
+    {file = "jq-1.7.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ade00a39990fdfe0acc7d2a900e3e5e6b11a71eb5289954ff0df31ac0afae25b"},
+    {file = "jq-1.7.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0c777e88f3cce496c17f5c3bdbc7d74ff12b5cbdaea30f3a374f3cc92e5bba8d"},
+    {file = "jq-1.7.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:79957008c67d8f1d9134cd0e01044bff5d795f7e94db9532a9fe9212e1f88a77"},
+    {file = "jq-1.7.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:2bc5cb77dd12e861296cfa69587aa6797ccfee4f5f3aa571b02f0273ab1efec1"},
+    {file = "jq-1.7.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:8e10a5937aab9c383632ab151f73d43dc0c4be99f62221a7044988dc8ddd4bdc"},
+    {file = "jq-1.7.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:1e6e13e0f8d3204aefe861159160116e822c90bae773a3ccdd4d9e79a06e086e"},
+    {file = "jq-1.7.0-pp310-pypy310_pp73-macosx_10_13_x86_64.whl", hash = "sha256:0cdbd32463ef632b0b4ca6dab434e2387342bc5c895b411ec6b2a14bbf4b2c12"},
+    {file = "jq-1.7.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:558a5c6b4430e05fa59c4b5631c0d3fc0f163100390c03edc1993663f59d8a9b"},
+    {file = "jq-1.7.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4bbf77138cdd8d306bf335d998525a0477e4cb6f00eb6f361288f5b82274e84c"},
+    {file = "jq-1.7.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a2e6919481ff43754ae9b17a98c877995d5e1346be114c71cd0dfd8ff7d0cd60"},
+    {file = "jq-1.7.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0b0584ff33b2a9cc021edec325af4e0fa9fbd54cce80c1f7b8e0ba4cf2d75508"},
+    {file = "jq-1.7.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:a6e7259880ab7e75e845fb4d56c6d18922c68789d25d7cdbb6f433d9e714613a"},
+    {file = "jq-1.7.0-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2d472cdd0bcb3d47c87b00ff841edff41c79fe4422523c4a7c8bf913fb950f7f"},
+    {file = "jq-1.7.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2a3430de179f8a7b0baf5675d5ee400f97344085d79f190a90fc0c7df990cbcc"},
+    {file = "jq-1.7.0-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:acbb375bdb2a44f1a643123b8ec57563bb5542673f0399799ab5662ce90bf4a5"},
+    {file = "jq-1.7.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:39a0c71ed2f1ec0462d54678333f1b14d9f25fd62a9f46df140d68552f79d204"},
+    {file = "jq-1.7.0-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:306c1e3ba531d7dc3284e128689f0b75409a4e8e8a3bdac2c51cc26f2d3cca58"},
+    {file = "jq-1.7.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:88b8b0cc838c7387dc5e8c45b192c7504acd0510514658d2d5cd1716fcf15fe3"},
+    {file = "jq-1.7.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9c75e16e542f4abaae25727b9fc4eeaf69cb07122be8a2a7672d02feb3a1cc9a"},
+    {file = "jq-1.7.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b4828ac689a67fd9c021796bcacd95811bab806939dd6316eb0c2d3de016c584"},
+    {file = "jq-1.7.0-pp39-pypy39_pp73-macosx_10_13_x86_64.whl", hash = "sha256:c94f95b27720d2db7f1039fdd371f70bc0cac8e204cbfd0626176d7b8a3053d6"},
+    {file = "jq-1.7.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:d5ff445fc9b1eb4623a914e04bea9511e654e9143cde82b039383af4f7dc36f2"},
+    {file = "jq-1.7.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:07e369ff021fad38a29d6a7a3fc24f7d313e9a239b15ce4eefaffee637466400"},
+    {file = "jq-1.7.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:553dfbf674069cb20533d7d74cd8a9d7982bab8e4a5b473fde105d99278df09f"},
+    {file = "jq-1.7.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e9fbc76f6fec66e5e58cc84f20a5de80addd3c64ad87a748f5c5f6b4ef01bc8c"},
+    {file = "jq-1.7.0.tar.gz", hash = "sha256:f460d1f2c3791617e4fb339fa24efbdbebe672b02c861f057358553642047040"},
+]
+
+[[package]]
+name = "jsonpatch"
+version = "1.33"
+description = "Apply JSON-Patches (RFC 6902)"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
+files = [
+    {file = "jsonpatch-1.33-py2.py3-none-any.whl", hash = "sha256:0ae28c0cd062bbd8b8ecc26d7d164fbbea9652a1a3693f3b956c1eae5145dade"},
+    {file = "jsonpatch-1.33.tar.gz", hash = "sha256:9fcd4009c41e6d12348b4a0ff2563ba56a2923a7dfee731d004e212e1ee5030c"},
+]
+
+[package.dependencies]
+jsonpointer = ">=1.9"
+
+[[package]]
+name = "jsonpointer"
+version = "3.0.0"
+description = "Identify specific nodes in a JSON document (RFC 6901)"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "jsonpointer-3.0.0-py2.py3-none-any.whl", hash = "sha256:13e088adc14fca8b6aa8177c044e12701e6ad4b28ff10e65f2267a90109c9942"},
+    {file = "jsonpointer-3.0.0.tar.gz", hash = "sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef"},
+]
+
+[[package]]
+name = "langchain"
+version = "0.2.5"
+description = "Building applications with LLMs through composability"
+optional = false
+python-versions = "<4.0,>=3.8.1"
+files = [
+    {file = "langchain-0.2.5-py3-none-any.whl", hash = "sha256:9aded9a65348254e1c93dcdaacffe4d1b6a5e7f74ef80c160c88ff78ad299228"},
+    {file = "langchain-0.2.5.tar.gz", hash = "sha256:ffdbf4fcea46a10d461bcbda2402220fcfd72a0c70e9f4161ae0510067b9b3bd"},
+]
+
+[package.dependencies]
+aiohttp = ">=3.8.3,<4.0.0"
+async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
+langchain-core = ">=0.2.7,<0.3.0"
+langchain-text-splitters = ">=0.2.0,<0.3.0"
+langsmith = ">=0.1.17,<0.2.0"
+numpy = [
+    {version = ">=1,<2", markers = "python_version < \"3.12\""},
+    {version = ">=1.26.0,<2.0.0", markers = "python_version >= \"3.12\""},
+]
+pydantic = ">=1,<3"
+PyYAML = ">=5.3"
+requests = ">=2,<3"
+SQLAlchemy = ">=1.4,<3"
+tenacity = ">=8.1.0,<9.0.0"
+
+[[package]]
+name = "langchain-community"
+version = "0.2.5"
+description = "Community contributed LangChain integrations."
+optional = false
+python-versions = "<4.0,>=3.8.1"
+files = [
+    {file = "langchain_community-0.2.5-py3-none-any.whl", hash = "sha256:bf37a334952e42c7676d083cf2d2c4cbfbb7de1949c4149fe19913e2b06c485f"},
+    {file = "langchain_community-0.2.5.tar.gz", hash = "sha256:476787b8c8c213b67e7b0eceb53346e787f00fbae12d8e680985bd4f93b0bf64"},
+]
+
+[package.dependencies]
+aiohttp = ">=3.8.3,<4.0.0"
+dataclasses-json = ">=0.5.7,<0.7"
+langchain = ">=0.2.5,<0.3.0"
+langchain-core = ">=0.2.7,<0.3.0"
+langsmith = ">=0.1.0,<0.2.0"
+numpy = [
+    {version = ">=1,<2", markers = "python_version < \"3.12\""},
+    {version = ">=1.26.0,<2.0.0", markers = "python_version >= \"3.12\""},
+]
+PyYAML = ">=5.3"
+requests = ">=2,<3"
+SQLAlchemy = ">=1.4,<3"
+tenacity = ">=8.1.0,<9.0.0"
+
+[[package]]
+name = "langchain-core"
+version = "0.2.9"
+description = "Building applications with LLMs through composability"
+optional = false
+python-versions = "<4.0,>=3.8.1"
+files = [
+    {file = "langchain_core-0.2.9-py3-none-any.whl", hash = "sha256:426a5a4fea95a5db995ba5ab560b76edd4998fb6fe52ccc28ac987092a4cbfcd"},
+    {file = "langchain_core-0.2.9.tar.gz", hash = "sha256:f1c59082642921727844e1cd0eb36d451edd1872c20e193aa3142aac03495986"},
+]
+
+[package.dependencies]
+jsonpatch = ">=1.33,<2.0"
+langsmith = ">=0.1.75,<0.2.0"
+packaging = ">=23.2,<25"
+pydantic = [
+    {version = ">=1,<3", markers = "python_full_version < \"3.12.4\""},
+    {version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
+]
+PyYAML = ">=5.3"
+tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
+
+[[package]]
+name = "langchain-experimental"
+version = "0.0.61"
+description = "Building applications with LLMs through composability"
+optional = false
+python-versions = "<4.0,>=3.8.1"
+files = [
+    {file = "langchain_experimental-0.0.61-py3-none-any.whl", hash = "sha256:f9c516f528f55919743bd56fe1689a53bf74ae7f8902d64b9d8aebc61249cbe2"},
+    {file = "langchain_experimental-0.0.61.tar.gz", hash = "sha256:e9538efb994be5db3045cc582cddb9787c8299c86ffeee9d3779b7f58eef2226"},
+]
+
+[package.dependencies]
+langchain-community = ">=0.2.5,<0.3.0"
+langchain-core = ">=0.2.7,<0.3.0"
+
+[[package]]
+name = "langchain-text-splitters"
+version = "0.2.1"
+description = "LangChain text splitting utilities"
+optional = false
+python-versions = "<4.0,>=3.8.1"
+files = [
+    {file = "langchain_text_splitters-0.2.1-py3-none-any.whl", hash = "sha256:c2774a85f17189eaca50339629d2316d13130d4a8d9f1a1a96f3a03670c4a138"},
+    {file = "langchain_text_splitters-0.2.1.tar.gz", hash = "sha256:06853d17d7241ecf5c97c7b6ef01f600f9b0fb953dd997838142a527a4f32ea4"},
+]
+
+[package.dependencies]
+langchain-core = ">=0.2.0,<0.3.0"
+
+[package.extras]
+extended-testing = ["beautifulsoup4 (>=4.12.3,<5.0.0)", "lxml (>=4.9.3,<6.0)"]
+
+[[package]]
+name = "langchainhub"
+version = "0.1.20"
+description = "The LangChain Hub API client"
+optional = false
+python-versions = "<4.0,>=3.8.1"
+files = [
+    {file = "langchainhub-0.1.20-py3-none-any.whl", hash = "sha256:b3cbb5b2d7d6f9c3f89748bcc74424d8030ed4ebca58b5f44e0b6d9f111e33eb"},
+    {file = "langchainhub-0.1.20.tar.gz", hash = "sha256:499fa8958233071f35750987f325005d16241bebd455163955b607c195c37f25"},
+]
+
+[package.dependencies]
+packaging = ">=23.2,<25"
+requests = ">=2,<3"
+types-requests = ">=2.31.0.2,<3.0.0.0"
+
+[[package]]
+name = "langsmith"
+version = "0.1.81"
+description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
+optional = false
+python-versions = "<4.0,>=3.8.1"
+files = [
+    {file = "langsmith-0.1.81-py3-none-any.whl", hash = "sha256:3251d823225eef23ee541980b9d9e506367eabbb7f985a086b5d09e8f78ba7e9"},
+    {file = "langsmith-0.1.81.tar.gz", hash = "sha256:585ef3a2251380bd2843a664c9a28da4a7d28432e3ee8bcebf291ffb8e1f0af0"},
+]
+
+[package.dependencies]
+orjson = ">=3.9.14,<4.0.0"
+pydantic = ">=1,<3"
+requests = ">=2,<3"
+
+[[package]]
+name = "loguru"
+version = "0.7.2"
+description = "Python logging made (stupidly) simple"
+optional = false
+python-versions = ">=3.5"
+files = [
+    {file = "loguru-0.7.2-py3-none-any.whl", hash = "sha256:003d71e3d3ed35f0f8984898359d65b79e5b21943f78af86aa5491210429b8eb"},
+    {file = "loguru-0.7.2.tar.gz", hash = "sha256:e671a53522515f34fd406340ee968cb9ecafbc4b36c679da03c18fd8d0bd51ac"},
+]
+
+[package.dependencies]
+colorama = {version = ">=0.3.4", markers = "sys_platform == \"win32\""}
+win32-setctime = {version = ">=1.0.0", markers = "sys_platform == \"win32\""}
+
+[package.extras]
+dev = ["Sphinx (==7.2.5)", "colorama (==0.4.5)", "colorama (==0.4.6)", "exceptiongroup (==1.1.3)", "freezegun (==1.1.0)", "freezegun (==1.2.2)", "mypy (==v0.910)", "mypy (==v0.971)", "mypy (==v1.4.1)", "mypy (==v1.5.1)", "pre-commit (==3.4.0)", "pytest (==6.1.2)", "pytest (==7.4.0)", "pytest-cov (==2.12.1)", "pytest-cov (==4.1.0)", "pytest-mypy-plugins (==1.9.3)", "pytest-mypy-plugins (==3.0.0)", "sphinx-autobuild (==2021.3.14)", "sphinx-rtd-theme (==1.3.0)", "tox (==3.27.1)", "tox (==4.11.0)"]
+
+[[package]]
+name = "lxml"
+version = "5.2.2"
+description = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API."
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "lxml-5.2.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:364d03207f3e603922d0d3932ef363d55bbf48e3647395765f9bfcbdf6d23632"},
+    {file = "lxml-5.2.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:50127c186f191b8917ea2fb8b206fbebe87fd414a6084d15568c27d0a21d60db"},
+    {file = "lxml-5.2.2-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:74e4f025ef3db1c6da4460dd27c118d8cd136d0391da4e387a15e48e5c975147"},
+    {file = "lxml-5.2.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:981a06a3076997adf7c743dcd0d7a0415582661e2517c7d961493572e909aa1d"},
+    {file = "lxml-5.2.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:aef5474d913d3b05e613906ba4090433c515e13ea49c837aca18bde190853dff"},
+    {file = "lxml-5.2.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1e275ea572389e41e8b039ac076a46cb87ee6b8542df3fff26f5baab43713bca"},
+    {file = "lxml-5.2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f5b65529bb2f21ac7861a0e94fdbf5dc0daab41497d18223b46ee8515e5ad297"},
+    {file = "lxml-5.2.2-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:bcc98f911f10278d1daf14b87d65325851a1d29153caaf146877ec37031d5f36"},
+    {file = "lxml-5.2.2-cp310-cp310-manylinux_2_28_ppc64le.whl", hash = "sha256:b47633251727c8fe279f34025844b3b3a3e40cd1b198356d003aa146258d13a2"},
+    {file = "lxml-5.2.2-cp310-cp310-manylinux_2_28_s390x.whl", hash = "sha256:fbc9d316552f9ef7bba39f4edfad4a734d3d6f93341232a9dddadec4f15d425f"},
+    {file = "lxml-5.2.2-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:13e69be35391ce72712184f69000cda04fc89689429179bc4c0ae5f0b7a8c21b"},
+    {file = "lxml-5.2.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:3b6a30a9ab040b3f545b697cb3adbf3696c05a3a68aad172e3fd7ca73ab3c835"},
+    {file = "lxml-5.2.2-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:a233bb68625a85126ac9f1fc66d24337d6e8a0f9207b688eec2e7c880f012ec0"},
+    {file = "lxml-5.2.2-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:dfa7c241073d8f2b8e8dbc7803c434f57dbb83ae2a3d7892dd068d99e96efe2c"},
+    {file = "lxml-5.2.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:1a7aca7964ac4bb07680d5c9d63b9d7028cace3e2d43175cb50bba8c5ad33316"},
+    {file = "lxml-5.2.2-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:ae4073a60ab98529ab8a72ebf429f2a8cc612619a8c04e08bed27450d52103c0"},
+    {file = "lxml-5.2.2-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:ffb2be176fed4457e445fe540617f0252a72a8bc56208fd65a690fdb1f57660b"},
+    {file = "lxml-5.2.2-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:e290d79a4107d7d794634ce3e985b9ae4f920380a813717adf61804904dc4393"},
+    {file = "lxml-5.2.2-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:96e85aa09274955bb6bd483eaf5b12abadade01010478154b0ec70284c1b1526"},
+    {file = "lxml-5.2.2-cp310-cp310-win32.whl", hash = "sha256:f956196ef61369f1685d14dad80611488d8dc1ef00be57c0c5a03064005b0f30"},
+    {file = "lxml-5.2.2-cp310-cp310-win_amd64.whl", hash = "sha256:875a3f90d7eb5c5d77e529080d95140eacb3c6d13ad5b616ee8095447b1d22e7"},
+    {file = "lxml-5.2.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:45f9494613160d0405682f9eee781c7e6d1bf45f819654eb249f8f46a2c22545"},
+    {file = "lxml-5.2.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b0b3f2df149efb242cee2ffdeb6674b7f30d23c9a7af26595099afaf46ef4e88"},
+    {file = "lxml-5.2.2-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d28cb356f119a437cc58a13f8135ab8a4c8ece18159eb9194b0d269ec4e28083"},
+    {file = "lxml-5.2.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:657a972f46bbefdbba2d4f14413c0d079f9ae243bd68193cb5061b9732fa54c1"},
+    {file = "lxml-5.2.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b74b9ea10063efb77a965a8d5f4182806fbf59ed068b3c3fd6f30d2ac7bee734"},
+    {file = "lxml-5.2.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:07542787f86112d46d07d4f3c4e7c760282011b354d012dc4141cc12a68cef5f"},
+    {file = "lxml-5.2.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:303f540ad2dddd35b92415b74b900c749ec2010e703ab3bfd6660979d01fd4ed"},
+    {file = "lxml-5.2.2-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:2eb2227ce1ff998faf0cd7fe85bbf086aa41dfc5af3b1d80867ecfe75fb68df3"},
+    {file = "lxml-5.2.2-cp311-cp311-manylinux_2_28_ppc64le.whl", hash = "sha256:1d8a701774dfc42a2f0b8ccdfe7dbc140500d1049e0632a611985d943fcf12df"},
+    {file = "lxml-5.2.2-cp311-cp311-manylinux_2_28_s390x.whl", hash = "sha256:56793b7a1a091a7c286b5f4aa1fe4ae5d1446fe742d00cdf2ffb1077865db10d"},
+    {file = "lxml-5.2.2-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:eb00b549b13bd6d884c863554566095bf6fa9c3cecb2e7b399c4bc7904cb33b5"},
+    {file = "lxml-5.2.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:1a2569a1f15ae6c8c64108a2cd2b4a858fc1e13d25846be0666fc144715e32ab"},
+    {file = "lxml-5.2.2-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:8cf85a6e40ff1f37fe0f25719aadf443686b1ac7652593dc53c7ef9b8492b115"},
+    {file = "lxml-5.2.2-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:d237ba6664b8e60fd90b8549a149a74fcc675272e0e95539a00522e4ca688b04"},
+    {file = "lxml-5.2.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:0b3f5016e00ae7630a4b83d0868fca1e3d494c78a75b1c7252606a3a1c5fc2ad"},
+    {file = "lxml-5.2.2-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:23441e2b5339bc54dc949e9e675fa35efe858108404ef9aa92f0456929ef6fe8"},
+    {file = "lxml-5.2.2-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:2fb0ba3e8566548d6c8e7dd82a8229ff47bd8fb8c2da237607ac8e5a1b8312e5"},
+    {file = "lxml-5.2.2-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:79d1fb9252e7e2cfe4de6e9a6610c7cbb99b9708e2c3e29057f487de5a9eaefa"},
+    {file = "lxml-5.2.2-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:6dcc3d17eac1df7859ae01202e9bb11ffa8c98949dcbeb1069c8b9a75917e01b"},
+    {file = "lxml-5.2.2-cp311-cp311-win32.whl", hash = "sha256:4c30a2f83677876465f44c018830f608fa3c6a8a466eb223535035fbc16f3438"},
+    {file = "lxml-5.2.2-cp311-cp311-win_amd64.whl", hash = "sha256:49095a38eb333aaf44c06052fd2ec3b8f23e19747ca7ec6f6c954ffea6dbf7be"},
+    {file = "lxml-5.2.2-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:7429e7faa1a60cad26ae4227f4dd0459efde239e494c7312624ce228e04f6391"},
+    {file = "lxml-5.2.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:50ccb5d355961c0f12f6cf24b7187dbabd5433f29e15147a67995474f27d1776"},
+    {file = "lxml-5.2.2-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:dc911208b18842a3a57266d8e51fc3cfaccee90a5351b92079beed912a7914c2"},
+    {file = "lxml-5.2.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:33ce9e786753743159799fdf8e92a5da351158c4bfb6f2db0bf31e7892a1feb5"},
+    {file = "lxml-5.2.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ec87c44f619380878bd49ca109669c9f221d9ae6883a5bcb3616785fa8f94c97"},
+    {file = "lxml-5.2.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:08ea0f606808354eb8f2dfaac095963cb25d9d28e27edcc375d7b30ab01abbf6"},
+    {file = "lxml-5.2.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:75a9632f1d4f698b2e6e2e1ada40e71f369b15d69baddb8968dcc8e683839b18"},
+    {file = "lxml-5.2.2-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:74da9f97daec6928567b48c90ea2c82a106b2d500f397eeb8941e47d30b1ca85"},
+    {file = "lxml-5.2.2-cp312-cp312-manylinux_2_28_ppc64le.whl", hash = "sha256:0969e92af09c5687d769731e3f39ed62427cc72176cebb54b7a9d52cc4fa3b73"},
+    {file = "lxml-5.2.2-cp312-cp312-manylinux_2_28_s390x.whl", hash = "sha256:9164361769b6ca7769079f4d426a41df6164879f7f3568be9086e15baca61466"},
+    {file = "lxml-5.2.2-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:d26a618ae1766279f2660aca0081b2220aca6bd1aa06b2cf73f07383faf48927"},
+    {file = "lxml-5.2.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:ab67ed772c584b7ef2379797bf14b82df9aa5f7438c5b9a09624dd834c1c1aaf"},
+    {file = "lxml-5.2.2-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:3d1e35572a56941b32c239774d7e9ad724074d37f90c7a7d499ab98761bd80cf"},
+    {file = "lxml-5.2.2-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:8268cbcd48c5375f46e000adb1390572c98879eb4f77910c6053d25cc3ac2c67"},
+    {file = "lxml-5.2.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:e282aedd63c639c07c3857097fc0e236f984ceb4089a8b284da1c526491e3f3d"},
+    {file = "lxml-5.2.2-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:6dfdc2bfe69e9adf0df4915949c22a25b39d175d599bf98e7ddf620a13678585"},
+    {file = "lxml-5.2.2-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:4aefd911793b5d2d7a921233a54c90329bf3d4a6817dc465f12ffdfe4fc7b8fe"},
+    {file = "lxml-5.2.2-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:8b8df03a9e995b6211dafa63b32f9d405881518ff1ddd775db4e7b98fb545e1c"},
+    {file = "lxml-5.2.2-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:f11ae142f3a322d44513de1018b50f474f8f736bc3cd91d969f464b5bfef8836"},
+    {file = "lxml-5.2.2-cp312-cp312-win32.whl", hash = "sha256:16a8326e51fcdffc886294c1e70b11ddccec836516a343f9ed0f82aac043c24a"},
+    {file = "lxml-5.2.2-cp312-cp312-win_amd64.whl", hash = "sha256:bbc4b80af581e18568ff07f6395c02114d05f4865c2812a1f02f2eaecf0bfd48"},
+    {file = "lxml-5.2.2-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:e3d9d13603410b72787579769469af730c38f2f25505573a5888a94b62b920f8"},
+    {file = "lxml-5.2.2-cp36-cp36m-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:38b67afb0a06b8575948641c1d6d68e41b83a3abeae2ca9eed2ac59892b36706"},
+    {file = "lxml-5.2.2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c689d0d5381f56de7bd6966a4541bff6e08bf8d3871bbd89a0c6ab18aa699573"},
+    {file = "lxml-5.2.2-cp36-cp36m-manylinux_2_28_x86_64.whl", hash = "sha256:cf2a978c795b54c539f47964ec05e35c05bd045db5ca1e8366988c7f2fe6b3ce"},
+    {file = "lxml-5.2.2-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:739e36ef7412b2bd940f75b278749106e6d025e40027c0b94a17ef7968d55d56"},
+    {file = "lxml-5.2.2-cp36-cp36m-musllinux_1_1_x86_64.whl", hash = "sha256:d8bbcd21769594dbba9c37d3c819e2d5847656ca99c747ddb31ac1701d0c0ed9"},
+    {file = "lxml-5.2.2-cp36-cp36m-musllinux_1_2_x86_64.whl", hash = "sha256:2304d3c93f2258ccf2cf7a6ba8c761d76ef84948d87bf9664e14d203da2cd264"},
+    {file = "lxml-5.2.2-cp36-cp36m-win32.whl", hash = "sha256:02437fb7308386867c8b7b0e5bc4cd4b04548b1c5d089ffb8e7b31009b961dc3"},
+    {file = "lxml-5.2.2-cp36-cp36m-win_amd64.whl", hash = "sha256:edcfa83e03370032a489430215c1e7783128808fd3e2e0a3225deee278585196"},
+    {file = "lxml-5.2.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:28bf95177400066596cdbcfc933312493799382879da504633d16cf60bba735b"},
+    {file = "lxml-5.2.2-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3a745cc98d504d5bd2c19b10c79c61c7c3df9222629f1b6210c0368177589fb8"},
+    {file = "lxml-5.2.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1b590b39ef90c6b22ec0be925b211298e810b4856909c8ca60d27ffbca6c12e6"},
+    {file = "lxml-5.2.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b336b0416828022bfd5a2e3083e7f5ba54b96242159f83c7e3eebaec752f1716"},
+    {file = "lxml-5.2.2-cp37-cp37m-manylinux_2_28_aarch64.whl", hash = "sha256:c2faf60c583af0d135e853c86ac2735ce178f0e338a3c7f9ae8f622fd2eb788c"},
+    {file = "lxml-5.2.2-cp37-cp37m-manylinux_2_28_x86_64.whl", hash = "sha256:4bc6cb140a7a0ad1f7bc37e018d0ed690b7b6520ade518285dc3171f7a117905"},
+    {file = "lxml-5.2.2-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:7ff762670cada8e05b32bf1e4dc50b140790909caa8303cfddc4d702b71ea184"},
+    {file = "lxml-5.2.2-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:57f0a0bbc9868e10ebe874e9f129d2917750adf008fe7b9c1598c0fbbfdde6a6"},
+    {file = "lxml-5.2.2-cp37-cp37m-musllinux_1_2_aarch64.whl", hash = "sha256:a6d2092797b388342c1bc932077ad232f914351932353e2e8706851c870bca1f"},
+    {file = "lxml-5.2.2-cp37-cp37m-musllinux_1_2_x86_64.whl", hash = "sha256:60499fe961b21264e17a471ec296dcbf4365fbea611bf9e303ab69db7159ce61"},
+    {file = "lxml-5.2.2-cp37-cp37m-win32.whl", hash = "sha256:d9b342c76003c6b9336a80efcc766748a333573abf9350f4094ee46b006ec18f"},
+    {file = "lxml-5.2.2-cp37-cp37m-win_amd64.whl", hash = "sha256:b16db2770517b8799c79aa80f4053cd6f8b716f21f8aca962725a9565ce3ee40"},
+    {file = "lxml-5.2.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:7ed07b3062b055d7a7f9d6557a251cc655eed0b3152b76de619516621c56f5d3"},
+    {file = "lxml-5.2.2-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f60fdd125d85bf9c279ffb8e94c78c51b3b6a37711464e1f5f31078b45002421"},
+    {file = "lxml-5.2.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8a7e24cb69ee5f32e003f50e016d5fde438010c1022c96738b04fc2423e61706"},
+    {file = "lxml-5.2.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:23cfafd56887eaed93d07bc4547abd5e09d837a002b791e9767765492a75883f"},
+    {file = "lxml-5.2.2-cp38-cp38-manylinux_2_28_aarch64.whl", hash = "sha256:19b4e485cd07b7d83e3fe3b72132e7df70bfac22b14fe4bf7a23822c3a35bff5"},
+    {file = "lxml-5.2.2-cp38-cp38-manylinux_2_28_x86_64.whl", hash = "sha256:7ce7ad8abebe737ad6143d9d3bf94b88b93365ea30a5b81f6877ec9c0dee0a48"},
+    {file = "lxml-5.2.2-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:e49b052b768bb74f58c7dda4e0bdf7b79d43a9204ca584ffe1fb48a6f3c84c66"},
+    {file = "lxml-5.2.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:d14a0d029a4e176795cef99c056d58067c06195e0c7e2dbb293bf95c08f772a3"},
+    {file = "lxml-5.2.2-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:be49ad33819d7dcc28a309b86d4ed98e1a65f3075c6acd3cd4fe32103235222b"},
+    {file = "lxml-5.2.2-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:a6d17e0370d2516d5bb9062c7b4cb731cff921fc875644c3d751ad857ba9c5b1"},
+    {file = "lxml-5.2.2-cp38-cp38-win32.whl", hash = "sha256:5b8c041b6265e08eac8a724b74b655404070b636a8dd6d7a13c3adc07882ef30"},
+    {file = "lxml-5.2.2-cp38-cp38-win_amd64.whl", hash = "sha256:f61efaf4bed1cc0860e567d2ecb2363974d414f7f1f124b1df368bbf183453a6"},
+    {file = "lxml-5.2.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:fb91819461b1b56d06fa4bcf86617fac795f6a99d12239fb0c68dbeba41a0a30"},
+    {file = "lxml-5.2.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:d4ed0c7cbecde7194cd3228c044e86bf73e30a23505af852857c09c24e77ec5d"},
+    {file = "lxml-5.2.2-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:54401c77a63cc7d6dc4b4e173bb484f28a5607f3df71484709fe037c92d4f0ed"},
+    {file = "lxml-5.2.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:625e3ef310e7fa3a761d48ca7ea1f9d8718a32b1542e727d584d82f4453d5eeb"},
+    {file = "lxml-5.2.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:519895c99c815a1a24a926d5b60627ce5ea48e9f639a5cd328bda0515ea0f10c"},
+    {file = "lxml-5.2.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c7079d5eb1c1315a858bbf180000757db8ad904a89476653232db835c3114001"},
+    {file = "lxml-5.2.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:343ab62e9ca78094f2306aefed67dcfad61c4683f87eee48ff2fd74902447726"},
+    {file = "lxml-5.2.2-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:cd9e78285da6c9ba2d5c769628f43ef66d96ac3085e59b10ad4f3707980710d3"},
+    {file = "lxml-5.2.2-cp39-cp39-manylinux_2_28_ppc64le.whl", hash = "sha256:546cf886f6242dff9ec206331209db9c8e1643ae642dea5fdbecae2453cb50fd"},
+    {file = "lxml-5.2.2-cp39-cp39-manylinux_2_28_s390x.whl", hash = "sha256:02f6a8eb6512fdc2fd4ca10a49c341c4e109aa6e9448cc4859af5b949622715a"},
+    {file = "lxml-5.2.2-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:339ee4a4704bc724757cd5dd9dc8cf4d00980f5d3e6e06d5847c1b594ace68ab"},
+    {file = "lxml-5.2.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:0a028b61a2e357ace98b1615fc03f76eb517cc028993964fe08ad514b1e8892d"},
+    {file = "lxml-5.2.2-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:f90e552ecbad426eab352e7b2933091f2be77115bb16f09f78404861c8322981"},
+    {file = "lxml-5.2.2-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:d83e2d94b69bf31ead2fa45f0acdef0757fa0458a129734f59f67f3d2eb7ef32"},
+    {file = "lxml-5.2.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:a02d3c48f9bb1e10c7788d92c0c7db6f2002d024ab6e74d6f45ae33e3d0288a3"},
+    {file = "lxml-5.2.2-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:6d68ce8e7b2075390e8ac1e1d3a99e8b6372c694bbe612632606d1d546794207"},
+    {file = "lxml-5.2.2-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:453d037e09a5176d92ec0fd282e934ed26d806331a8b70ab431a81e2fbabf56d"},
+    {file = "lxml-5.2.2-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:3b019d4ee84b683342af793b56bb35034bd749e4cbdd3d33f7d1107790f8c472"},
+    {file = "lxml-5.2.2-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:cb3942960f0beb9f46e2a71a3aca220d1ca32feb5a398656be934320804c0df9"},
+    {file = "lxml-5.2.2-cp39-cp39-win32.whl", hash = "sha256:ac6540c9fff6e3813d29d0403ee7a81897f1d8ecc09a8ff84d2eea70ede1cdbf"},
+    {file = "lxml-5.2.2-cp39-cp39-win_amd64.whl", hash = "sha256:610b5c77428a50269f38a534057444c249976433f40f53e3b47e68349cca1425"},
+    {file = "lxml-5.2.2-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:b537bd04d7ccd7c6350cdaaaad911f6312cbd61e6e6045542f781c7f8b2e99d2"},
+    {file = "lxml-5.2.2-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4820c02195d6dfb7b8508ff276752f6b2ff8b64ae5d13ebe02e7667e035000b9"},
+    {file = "lxml-5.2.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f2a09f6184f17a80897172863a655467da2b11151ec98ba8d7af89f17bf63dae"},
+    {file = "lxml-5.2.2-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:76acba4c66c47d27c8365e7c10b3d8016a7da83d3191d053a58382311a8bf4e1"},
+    {file = "lxml-5.2.2-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:b128092c927eaf485928cec0c28f6b8bead277e28acf56800e972aa2c2abd7a2"},
+    {file = "lxml-5.2.2-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:ae791f6bd43305aade8c0e22f816b34f3b72b6c820477aab4d18473a37e8090b"},
+    {file = "lxml-5.2.2-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:a2f6a1bc2460e643785a2cde17293bd7a8f990884b822f7bca47bee0a82fc66b"},
+    {file = "lxml-5.2.2-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8e8d351ff44c1638cb6e980623d517abd9f580d2e53bfcd18d8941c052a5a009"},
+    {file = "lxml-5.2.2-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bec4bd9133420c5c52d562469c754f27c5c9e36ee06abc169612c959bd7dbb07"},
+    {file = "lxml-5.2.2-pp37-pypy37_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:55ce6b6d803890bd3cc89975fca9de1dff39729b43b73cb15ddd933b8bc20484"},
+    {file = "lxml-5.2.2-pp37-pypy37_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:8ab6a358d1286498d80fe67bd3d69fcbc7d1359b45b41e74c4a26964ca99c3f8"},
+    {file = "lxml-5.2.2-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:06668e39e1f3c065349c51ac27ae430719d7806c026fec462e5693b08b95696b"},
+    {file = "lxml-5.2.2-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:9cd5323344d8ebb9fb5e96da5de5ad4ebab993bbf51674259dbe9d7a18049525"},
+    {file = "lxml-5.2.2-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:89feb82ca055af0fe797a2323ec9043b26bc371365847dbe83c7fd2e2f181c34"},
+    {file = "lxml-5.2.2-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e481bba1e11ba585fb06db666bfc23dbe181dbafc7b25776156120bf12e0d5a6"},
+    {file = "lxml-5.2.2-pp38-pypy38_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:9d6c6ea6a11ca0ff9cd0390b885984ed31157c168565702959c25e2191674a14"},
+    {file = "lxml-5.2.2-pp38-pypy38_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:3d98de734abee23e61f6b8c2e08a88453ada7d6486dc7cdc82922a03968928db"},
+    {file = "lxml-5.2.2-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:69ab77a1373f1e7563e0fb5a29a8440367dec051da6c7405333699d07444f511"},
+    {file = "lxml-5.2.2-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:34e17913c431f5ae01d8658dbf792fdc457073dcdfbb31dc0cc6ab256e664a8d"},
+    {file = "lxml-5.2.2-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:05f8757b03208c3f50097761be2dea0aba02e94f0dc7023ed73a7bb14ff11eb0"},
+    {file = "lxml-5.2.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6a520b4f9974b0a0a6ed73c2154de57cdfd0c8800f4f15ab2b73238ffed0b36e"},
+    {file = "lxml-5.2.2-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:5e097646944b66207023bc3c634827de858aebc226d5d4d6d16f0b77566ea182"},
+    {file = "lxml-5.2.2-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:b5e4ef22ff25bfd4ede5f8fb30f7b24446345f3e79d9b7455aef2836437bc38a"},
+    {file = "lxml-5.2.2-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:ff69a9a0b4b17d78170c73abe2ab12084bdf1691550c5629ad1fe7849433f324"},
+    {file = "lxml-5.2.2.tar.gz", hash = "sha256:bb2dc4898180bea79863d5487e5f9c7c34297414bad54bcd0f0852aee9cfdb87"},
+]
+
+[package.extras]
+cssselect = ["cssselect (>=0.7)"]
+html-clean = ["lxml-html-clean"]
+html5 = ["html5lib"]
+htmlsoup = ["BeautifulSoup4"]
+source = ["Cython (>=3.0.10)"]
+
+[[package]]
+name = "mako"
+version = "1.3.5"
+description = "A super-fast templating language that borrows the best ideas from the existing templating languages."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "Mako-1.3.5-py3-none-any.whl", hash = "sha256:260f1dbc3a519453a9c856dedfe4beb4e50bd5a26d96386cb6c80856556bb91a"},
+    {file = "Mako-1.3.5.tar.gz", hash = "sha256:48dbc20568c1d276a2698b36d968fa76161bf127194907ea6fc594fa81f943bc"},
+]
+
+[package.dependencies]
+MarkupSafe = ">=0.9.2"
+
+[package.extras]
+babel = ["Babel"]
+lingua = ["lingua"]
+testing = ["pytest"]
+
+[[package]]
+name = "markdown-it-py"
+version = "3.0.0"
+description = "Python port of markdown-it. Markdown parsing, done right!"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "markdown-it-py-3.0.0.tar.gz", hash = "sha256:e3f60a94fa066dc52ec76661e37c851cb232d92f9886b15cb560aaada2df8feb"},
+    {file = "markdown_it_py-3.0.0-py3-none-any.whl", hash = "sha256:355216845c60bd96232cd8d8c40e8f9765cc86f46880e43a8fd22dc1a1a8cab1"},
+]
+
+[package.dependencies]
+mdurl = ">=0.1,<1.0"
+
+[package.extras]
+benchmarking = ["psutil", "pytest", "pytest-benchmark"]
+code-style = ["pre-commit (>=3.0,<4.0)"]
+compare = ["commonmark (>=0.9,<1.0)", "markdown (>=3.4,<4.0)", "mistletoe (>=1.0,<2.0)", "mistune (>=2.0,<3.0)", "panflute (>=2.3,<3.0)"]
+linkify = ["linkify-it-py (>=1,<3)"]
+plugins = ["mdit-py-plugins"]
+profiling = ["gprof2dot"]
+rtd = ["jupyter_sphinx", "mdit-py-plugins", "myst-parser", "pyyaml", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinx_book_theme"]
+testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
+
+[[package]]
+name = "markupsafe"
+version = "2.1.5"
+description = "Safely add untrusted strings to HTML/XML markup."
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "MarkupSafe-2.1.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a17a92de5231666cfbe003f0e4b9b3a7ae3afb1ec2845aadc2bacc93ff85febc"},
+    {file = "MarkupSafe-2.1.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:72b6be590cc35924b02c78ef34b467da4ba07e4e0f0454a2c5907f473fc50ce5"},
+    {file = "MarkupSafe-2.1.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e61659ba32cf2cf1481e575d0462554625196a1f2fc06a1c777d3f48e8865d46"},
+    {file = "MarkupSafe-2.1.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2174c595a0d73a3080ca3257b40096db99799265e1c27cc5a610743acd86d62f"},
+    {file = "MarkupSafe-2.1.5-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ae2ad8ae6ebee9d2d94b17fb62763125f3f374c25618198f40cbb8b525411900"},
+    {file = "MarkupSafe-2.1.5-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:075202fa5b72c86ad32dc7d0b56024ebdbcf2048c0ba09f1cde31bfdd57bcfff"},
+    {file = "MarkupSafe-2.1.5-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:598e3276b64aff0e7b3451b72e94fa3c238d452e7ddcd893c3ab324717456bad"},
+    {file = "MarkupSafe-2.1.5-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:fce659a462a1be54d2ffcacea5e3ba2d74daa74f30f5f143fe0c58636e355fdd"},
+    {file = "MarkupSafe-2.1.5-cp310-cp310-win32.whl", hash = "sha256:d9fad5155d72433c921b782e58892377c44bd6252b5af2f67f16b194987338a4"},
+    {file = "MarkupSafe-2.1.5-cp310-cp310-win_amd64.whl", hash = "sha256:bf50cd79a75d181c9181df03572cdce0fbb75cc353bc350712073108cba98de5"},
+    {file = "MarkupSafe-2.1.5-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:629ddd2ca402ae6dbedfceeba9c46d5f7b2a61d9749597d4307f943ef198fc1f"},
+    {file = "MarkupSafe-2.1.5-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:5b7b716f97b52c5a14bffdf688f971b2d5ef4029127f1ad7a513973cfd818df2"},
+    {file = "MarkupSafe-2.1.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6ec585f69cec0aa07d945b20805be741395e28ac1627333b1c5b0105962ffced"},
+    {file = "MarkupSafe-2.1.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b91c037585eba9095565a3556f611e3cbfaa42ca1e865f7b8015fe5c7336d5a5"},
+    {file = "MarkupSafe-2.1.5-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7502934a33b54030eaf1194c21c692a534196063db72176b0c4028e140f8f32c"},
+    {file = "MarkupSafe-2.1.5-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:0e397ac966fdf721b2c528cf028494e86172b4feba51d65f81ffd65c63798f3f"},
+    {file = "MarkupSafe-2.1.5-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:c061bb86a71b42465156a3ee7bd58c8c2ceacdbeb95d05a99893e08b8467359a"},
+    {file = "MarkupSafe-2.1.5-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:3a57fdd7ce31c7ff06cdfbf31dafa96cc533c21e443d57f5b1ecc6cdc668ec7f"},
+    {file = "MarkupSafe-2.1.5-cp311-cp311-win32.whl", hash = "sha256:397081c1a0bfb5124355710fe79478cdbeb39626492b15d399526ae53422b906"},
+    {file = "MarkupSafe-2.1.5-cp311-cp311-win_amd64.whl", hash = "sha256:2b7c57a4dfc4f16f7142221afe5ba4e093e09e728ca65c51f5620c9aaeb9a617"},
+    {file = "MarkupSafe-2.1.5-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:8dec4936e9c3100156f8a2dc89c4b88d5c435175ff03413b443469c7c8c5f4d1"},
+    {file = "MarkupSafe-2.1.5-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:3c6b973f22eb18a789b1460b4b91bf04ae3f0c4234a0a6aa6b0a92f6f7b951d4"},
+    {file = "MarkupSafe-2.1.5-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ac07bad82163452a6884fe8fa0963fb98c2346ba78d779ec06bd7a6262132aee"},
+    {file = "MarkupSafe-2.1.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f5dfb42c4604dddc8e4305050aa6deb084540643ed5804d7455b5df8fe16f5e5"},
+    {file = "MarkupSafe-2.1.5-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ea3d8a3d18833cf4304cd2fc9cbb1efe188ca9b5efef2bdac7adc20594a0e46b"},
+    {file = "MarkupSafe-2.1.5-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:d050b3361367a06d752db6ead6e7edeb0009be66bc3bae0ee9d97fb326badc2a"},
+    {file = "MarkupSafe-2.1.5-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:bec0a414d016ac1a18862a519e54b2fd0fc8bbfd6890376898a6c0891dd82e9f"},
+    {file = "MarkupSafe-2.1.5-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:58c98fee265677f63a4385256a6d7683ab1832f3ddd1e66fe948d5880c21a169"},
+    {file = "MarkupSafe-2.1.5-cp312-cp312-win32.whl", hash = "sha256:8590b4ae07a35970728874632fed7bd57b26b0102df2d2b233b6d9d82f6c62ad"},
+    {file = "MarkupSafe-2.1.5-cp312-cp312-win_amd64.whl", hash = "sha256:823b65d8706e32ad2df51ed89496147a42a2a6e01c13cfb6ffb8b1e92bc910bb"},
+    {file = "MarkupSafe-2.1.5-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:c8b29db45f8fe46ad280a7294f5c3ec36dbac9491f2d1c17345be8e69cc5928f"},
+    {file = "MarkupSafe-2.1.5-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ec6a563cff360b50eed26f13adc43e61bc0c04d94b8be985e6fb24b81f6dcfdf"},
+    {file = "MarkupSafe-2.1.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a549b9c31bec33820e885335b451286e2969a2d9e24879f83fe904a5ce59d70a"},
+    {file = "MarkupSafe-2.1.5-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4f11aa001c540f62c6166c7726f71f7573b52c68c31f014c25cc7901deea0b52"},
+    {file = "MarkupSafe-2.1.5-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:7b2e5a267c855eea6b4283940daa6e88a285f5f2a67f2220203786dfa59b37e9"},
+    {file = "MarkupSafe-2.1.5-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:2d2d793e36e230fd32babe143b04cec8a8b3eb8a3122d2aceb4a371e6b09b8df"},
+    {file = "MarkupSafe-2.1.5-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:ce409136744f6521e39fd8e2a24c53fa18ad67aa5bc7c2cf83645cce5b5c4e50"},
+    {file = "MarkupSafe-2.1.5-cp37-cp37m-win32.whl", hash = "sha256:4096e9de5c6fdf43fb4f04c26fb114f61ef0bf2e5604b6ee3019d51b69e8c371"},
+    {file = "MarkupSafe-2.1.5-cp37-cp37m-win_amd64.whl", hash = "sha256:4275d846e41ecefa46e2015117a9f491e57a71ddd59bbead77e904dc02b1bed2"},
+    {file = "MarkupSafe-2.1.5-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:656f7526c69fac7f600bd1f400991cc282b417d17539a1b228617081106feb4a"},
+    {file = "MarkupSafe-2.1.5-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:97cafb1f3cbcd3fd2b6fbfb99ae11cdb14deea0736fc2b0952ee177f2b813a46"},
+    {file = "MarkupSafe-2.1.5-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1f3fbcb7ef1f16e48246f704ab79d79da8a46891e2da03f8783a5b6fa41a9532"},
+    {file = "MarkupSafe-2.1.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fa9db3f79de01457b03d4f01b34cf91bc0048eb2c3846ff26f66687c2f6d16ab"},
+    {file = "MarkupSafe-2.1.5-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ffee1f21e5ef0d712f9033568f8344d5da8cc2869dbd08d87c84656e6a2d2f68"},
+    {file = "MarkupSafe-2.1.5-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:5dedb4db619ba5a2787a94d877bc8ffc0566f92a01c0ef214865e54ecc9ee5e0"},
+    {file = "MarkupSafe-2.1.5-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:30b600cf0a7ac9234b2638fbc0fb6158ba5bdcdf46aeb631ead21248b9affbc4"},
+    {file = "MarkupSafe-2.1.5-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:8dd717634f5a044f860435c1d8c16a270ddf0ef8588d4887037c5028b859b0c3"},
+    {file = "MarkupSafe-2.1.5-cp38-cp38-win32.whl", hash = "sha256:daa4ee5a243f0f20d528d939d06670a298dd39b1ad5f8a72a4275124a7819eff"},
+    {file = "MarkupSafe-2.1.5-cp38-cp38-win_amd64.whl", hash = "sha256:619bc166c4f2de5caa5a633b8b7326fbe98e0ccbfacabd87268a2b15ff73a029"},
+    {file = "MarkupSafe-2.1.5-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:7a68b554d356a91cce1236aa7682dc01df0edba8d043fd1ce607c49dd3c1edcf"},
+    {file = "MarkupSafe-2.1.5-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:db0b55e0f3cc0be60c1f19efdde9a637c32740486004f20d1cff53c3c0ece4d2"},
+    {file = "MarkupSafe-2.1.5-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3e53af139f8579a6d5f7b76549125f0d94d7e630761a2111bc431fd820e163b8"},
+    {file = "MarkupSafe-2.1.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:17b950fccb810b3293638215058e432159d2b71005c74371d784862b7e4683f3"},
+    {file = "MarkupSafe-2.1.5-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4c31f53cdae6ecfa91a77820e8b151dba54ab528ba65dfd235c80b086d68a465"},
+    {file = "MarkupSafe-2.1.5-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:bff1b4290a66b490a2f4719358c0cdcd9bafb6b8f061e45c7a2460866bf50c2e"},
+    {file = "MarkupSafe-2.1.5-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:bc1667f8b83f48511b94671e0e441401371dfd0f0a795c7daa4a3cd1dde55bea"},
+    {file = "MarkupSafe-2.1.5-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:5049256f536511ee3f7e1b3f87d1d1209d327e818e6ae1365e8653d7e3abb6a6"},
+    {file = "MarkupSafe-2.1.5-cp39-cp39-win32.whl", hash = "sha256:00e046b6dd71aa03a41079792f8473dc494d564611a8f89bbbd7cb93295ebdcf"},
+    {file = "MarkupSafe-2.1.5-cp39-cp39-win_amd64.whl", hash = "sha256:fa173ec60341d6bb97a89f5ea19c85c5643c1e7dedebc22f5181eb73573142c5"},
+    {file = "MarkupSafe-2.1.5.tar.gz", hash = "sha256:d283d37a890ba4c1ae73ffadf8046435c76e7bc2247bbb63c00bd1a709c6544b"},
+]
+
+[[package]]
+name = "marshmallow"
+version = "3.21.3"
+description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "marshmallow-3.21.3-py3-none-any.whl", hash = "sha256:86ce7fb914aa865001a4b2092c4c2872d13bc347f3d42673272cabfdbad386f1"},
+    {file = "marshmallow-3.21.3.tar.gz", hash = "sha256:4f57c5e050a54d66361e826f94fba213eb10b67b2fdb02c3e0343ce207ba1662"},
+]
+
+[package.dependencies]
+packaging = ">=17.0"
+
+[package.extras]
+dev = ["marshmallow[tests]", "pre-commit (>=3.5,<4.0)", "tox"]
+docs = ["alabaster (==0.7.16)", "autodocsumm (==0.2.12)", "sphinx (==7.3.7)", "sphinx-issues (==4.1.0)", "sphinx-version-warning (==1.1.2)"]
+tests = ["pytest", "pytz", "simplejson"]
+
+[[package]]
+name = "mdurl"
+version = "0.1.2"
+description = "Markdown URL utilities"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"},
+    {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
+]
+
+[[package]]
+name = "multidict"
+version = "6.0.5"
+description = "multidict implementation"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "multidict-6.0.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:228b644ae063c10e7f324ab1ab6b548bdf6f8b47f3ec234fef1093bc2735e5f9"},
+    {file = "multidict-6.0.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:896ebdcf62683551312c30e20614305f53125750803b614e9e6ce74a96232604"},
+    {file = "multidict-6.0.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:411bf8515f3be9813d06004cac41ccf7d1cd46dfe233705933dd163b60e37600"},
+    {file = "multidict-6.0.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1d147090048129ce3c453f0292e7697d333db95e52616b3793922945804a433c"},
+    {file = "multidict-6.0.5-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:215ed703caf15f578dca76ee6f6b21b7603791ae090fbf1ef9d865571039ade5"},
+    {file = "multidict-6.0.5-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7c6390cf87ff6234643428991b7359b5f59cc15155695deb4eda5c777d2b880f"},
+    {file = "multidict-6.0.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:21fd81c4ebdb4f214161be351eb5bcf385426bf023041da2fd9e60681f3cebae"},
+    {file = "multidict-6.0.5-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3cc2ad10255f903656017363cd59436f2111443a76f996584d1077e43ee51182"},
+    {file = "multidict-6.0.5-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:6939c95381e003f54cd4c5516740faba40cf5ad3eeff460c3ad1d3e0ea2549bf"},
+    {file = "multidict-6.0.5-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:220dd781e3f7af2c2c1053da9fa96d9cf3072ca58f057f4c5adaaa1cab8fc442"},
+    {file = "multidict-6.0.5-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:766c8f7511df26d9f11cd3a8be623e59cca73d44643abab3f8c8c07620524e4a"},
+    {file = "multidict-6.0.5-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:fe5d7785250541f7f5019ab9cba2c71169dc7d74d0f45253f8313f436458a4ef"},
+    {file = "multidict-6.0.5-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:c1c1496e73051918fcd4f58ff2e0f2f3066d1c76a0c6aeffd9b45d53243702cc"},
+    {file = "multidict-6.0.5-cp310-cp310-win32.whl", hash = "sha256:7afcdd1fc07befad18ec4523a782cde4e93e0a2bf71239894b8d61ee578c1319"},
+    {file = "multidict-6.0.5-cp310-cp310-win_amd64.whl", hash = "sha256:99f60d34c048c5c2fabc766108c103612344c46e35d4ed9ae0673d33c8fb26e8"},
+    {file = "multidict-6.0.5-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:f285e862d2f153a70586579c15c44656f888806ed0e5b56b64489afe4a2dbfba"},
+    {file = "multidict-6.0.5-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:53689bb4e102200a4fafa9de9c7c3c212ab40a7ab2c8e474491914d2305f187e"},
+    {file = "multidict-6.0.5-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:612d1156111ae11d14afaf3a0669ebf6c170dbb735e510a7438ffe2369a847fd"},
+    {file = "multidict-6.0.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7be7047bd08accdb7487737631d25735c9a04327911de89ff1b26b81745bd4e3"},
+    {file = "multidict-6.0.5-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:de170c7b4fe6859beb8926e84f7d7d6c693dfe8e27372ce3b76f01c46e489fcf"},
+    {file = "multidict-6.0.5-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:04bde7a7b3de05732a4eb39c94574db1ec99abb56162d6c520ad26f83267de29"},
+    {file = "multidict-6.0.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:85f67aed7bb647f93e7520633d8f51d3cbc6ab96957c71272b286b2f30dc70ed"},
+    {file = "multidict-6.0.5-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:425bf820055005bfc8aa9a0b99ccb52cc2f4070153e34b701acc98d201693733"},
+    {file = "multidict-6.0.5-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:d3eb1ceec286eba8220c26f3b0096cf189aea7057b6e7b7a2e60ed36b373b77f"},
+    {file = "multidict-6.0.5-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:7901c05ead4b3fb75113fb1dd33eb1253c6d3ee37ce93305acd9d38e0b5f21a4"},
+    {file = "multidict-6.0.5-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:e0e79d91e71b9867c73323a3444724d496c037e578a0e1755ae159ba14f4f3d1"},
+    {file = "multidict-6.0.5-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:29bfeb0dff5cb5fdab2023a7a9947b3b4af63e9c47cae2a10ad58394b517fddc"},
+    {file = "multidict-6.0.5-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:e030047e85cbcedbfc073f71836d62dd5dadfbe7531cae27789ff66bc551bd5e"},
+    {file = "multidict-6.0.5-cp311-cp311-win32.whl", hash = "sha256:2f4848aa3baa109e6ab81fe2006c77ed4d3cd1e0ac2c1fbddb7b1277c168788c"},
+    {file = "multidict-6.0.5-cp311-cp311-win_amd64.whl", hash = "sha256:2faa5ae9376faba05f630d7e5e6be05be22913782b927b19d12b8145968a85ea"},
+    {file = "multidict-6.0.5-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:51d035609b86722963404f711db441cf7134f1889107fb171a970c9701f92e1e"},
+    {file = "multidict-6.0.5-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:cbebcd5bcaf1eaf302617c114aa67569dd3f090dd0ce8ba9e35e9985b41ac35b"},
+    {file = "multidict-6.0.5-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:2ffc42c922dbfddb4a4c3b438eb056828719f07608af27d163191cb3e3aa6cc5"},
+    {file = "multidict-6.0.5-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ceb3b7e6a0135e092de86110c5a74e46bda4bd4fbfeeb3a3bcec79c0f861e450"},
+    {file = "multidict-6.0.5-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:79660376075cfd4b2c80f295528aa6beb2058fd289f4c9252f986751a4cd0496"},
+    {file = "multidict-6.0.5-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e4428b29611e989719874670fd152b6625500ad6c686d464e99f5aaeeaca175a"},
+    {file = "multidict-6.0.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d84a5c3a5f7ce6db1f999fb9438f686bc2e09d38143f2d93d8406ed2dd6b9226"},
+    {file = "multidict-6.0.5-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:76c0de87358b192de7ea9649beb392f107dcad9ad27276324c24c91774ca5271"},
+    {file = "multidict-6.0.5-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:79a6d2ba910adb2cbafc95dad936f8b9386e77c84c35bc0add315b856d7c3abb"},
+    {file = "multidict-6.0.5-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:92d16a3e275e38293623ebf639c471d3e03bb20b8ebb845237e0d3664914caef"},
+    {file = "multidict-6.0.5-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:fb616be3538599e797a2017cccca78e354c767165e8858ab5116813146041a24"},
+    {file = "multidict-6.0.5-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:14c2976aa9038c2629efa2c148022ed5eb4cb939e15ec7aace7ca932f48f9ba6"},
+    {file = "multidict-6.0.5-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:435a0984199d81ca178b9ae2c26ec3d49692d20ee29bc4c11a2a8d4514c67eda"},
+    {file = "multidict-6.0.5-cp312-cp312-win32.whl", hash = "sha256:9fe7b0653ba3d9d65cbe7698cca585bf0f8c83dbbcc710db9c90f478e175f2d5"},
+    {file = "multidict-6.0.5-cp312-cp312-win_amd64.whl", hash = "sha256:01265f5e40f5a17f8241d52656ed27192be03bfa8764d88e8220141d1e4b3556"},
+    {file = "multidict-6.0.5-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:19fe01cea168585ba0f678cad6f58133db2aa14eccaf22f88e4a6dccadfad8b3"},
+    {file = "multidict-6.0.5-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6bf7a982604375a8d49b6cc1b781c1747f243d91b81035a9b43a2126c04766f5"},
+    {file = "multidict-6.0.5-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:107c0cdefe028703fb5dafe640a409cb146d44a6ae201e55b35a4af8e95457dd"},
+    {file = "multidict-6.0.5-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:403c0911cd5d5791605808b942c88a8155c2592e05332d2bf78f18697a5fa15e"},
+    {file = "multidict-6.0.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aeaf541ddbad8311a87dd695ed9642401131ea39ad7bc8cf3ef3967fd093b626"},
+    {file = "multidict-6.0.5-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e4972624066095e52b569e02b5ca97dbd7a7ddd4294bf4e7247d52635630dd83"},
+    {file = "multidict-6.0.5-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:d946b0a9eb8aaa590df1fe082cee553ceab173e6cb5b03239716338629c50c7a"},
+    {file = "multidict-6.0.5-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:b55358304d7a73d7bdf5de62494aaf70bd33015831ffd98bc498b433dfe5b10c"},
+    {file = "multidict-6.0.5-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:a3145cb08d8625b2d3fee1b2d596a8766352979c9bffe5d7833e0503d0f0b5e5"},
+    {file = "multidict-6.0.5-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:d65f25da8e248202bd47445cec78e0025c0fe7582b23ec69c3b27a640dd7a8e3"},
+    {file = "multidict-6.0.5-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:c9bf56195c6bbd293340ea82eafd0071cb3d450c703d2c93afb89f93b8386ccc"},
+    {file = "multidict-6.0.5-cp37-cp37m-win32.whl", hash = "sha256:69db76c09796b313331bb7048229e3bee7928eb62bab5e071e9f7fcc4879caee"},
+    {file = "multidict-6.0.5-cp37-cp37m-win_amd64.whl", hash = "sha256:fce28b3c8a81b6b36dfac9feb1de115bab619b3c13905b419ec71d03a3fc1423"},
+    {file = "multidict-6.0.5-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:76f067f5121dcecf0d63a67f29080b26c43c71a98b10c701b0677e4a065fbd54"},
+    {file = "multidict-6.0.5-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:b82cc8ace10ab5bd93235dfaab2021c70637005e1ac787031f4d1da63d493c1d"},
+    {file = "multidict-6.0.5-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:5cb241881eefd96b46f89b1a056187ea8e9ba14ab88ba632e68d7a2ecb7aadf7"},
+    {file = "multidict-6.0.5-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e8e94e6912639a02ce173341ff62cc1201232ab86b8a8fcc05572741a5dc7d93"},
+    {file = "multidict-6.0.5-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:09a892e4a9fb47331da06948690ae38eaa2426de97b4ccbfafbdcbe5c8f37ff8"},
+    {file = "multidict-6.0.5-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:55205d03e8a598cfc688c71ca8ea5f66447164efff8869517f175ea632c7cb7b"},
+    {file = "multidict-6.0.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:37b15024f864916b4951adb95d3a80c9431299080341ab9544ed148091b53f50"},
+    {file = "multidict-6.0.5-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f2a1dee728b52b33eebff5072817176c172050d44d67befd681609b4746e1c2e"},
+    {file = "multidict-6.0.5-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:edd08e6f2f1a390bf137080507e44ccc086353c8e98c657e666c017718561b89"},
+    {file = "multidict-6.0.5-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:60d698e8179a42ec85172d12f50b1668254628425a6bd611aba022257cac1386"},
+    {file = "multidict-6.0.5-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:3d25f19500588cbc47dc19081d78131c32637c25804df8414463ec908631e453"},
+    {file = "multidict-6.0.5-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:4cc0ef8b962ac7a5e62b9e826bd0cd5040e7d401bc45a6835910ed699037a461"},
+    {file = "multidict-6.0.5-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:eca2e9d0cc5a889850e9bbd68e98314ada174ff6ccd1129500103df7a94a7a44"},
+    {file = "multidict-6.0.5-cp38-cp38-win32.whl", hash = "sha256:4a6a4f196f08c58c59e0b8ef8ec441d12aee4125a7d4f4fef000ccb22f8d7241"},
+    {file = "multidict-6.0.5-cp38-cp38-win_amd64.whl", hash = "sha256:0275e35209c27a3f7951e1ce7aaf93ce0d163b28948444bec61dd7badc6d3f8c"},
+    {file = "multidict-6.0.5-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:e7be68734bd8c9a513f2b0cfd508802d6609da068f40dc57d4e3494cefc92929"},
+    {file = "multidict-6.0.5-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:1d9ea7a7e779d7a3561aade7d596649fbecfa5c08a7674b11b423783217933f9"},
+    {file = "multidict-6.0.5-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ea1456df2a27c73ce51120fa2f519f1bea2f4a03a917f4a43c8707cf4cbbae1a"},
+    {file = "multidict-6.0.5-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cf590b134eb70629e350691ecca88eac3e3b8b3c86992042fb82e3cb1830d5e1"},
+    {file = "multidict-6.0.5-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5c0631926c4f58e9a5ccce555ad7747d9a9f8b10619621f22f9635f069f6233e"},
+    {file = "multidict-6.0.5-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:dce1c6912ab9ff5f179eaf6efe7365c1f425ed690b03341911bf4939ef2f3046"},
+    {file = "multidict-6.0.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c0868d64af83169e4d4152ec612637a543f7a336e4a307b119e98042e852ad9c"},
+    {file = "multidict-6.0.5-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:141b43360bfd3bdd75f15ed811850763555a251e38b2405967f8e25fb43f7d40"},
+    {file = "multidict-6.0.5-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:7df704ca8cf4a073334e0427ae2345323613e4df18cc224f647f251e5e75a527"},
+    {file = "multidict-6.0.5-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:6214c5a5571802c33f80e6c84713b2c79e024995b9c5897f794b43e714daeec9"},
+    {file = "multidict-6.0.5-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:cd6c8fca38178e12c00418de737aef1261576bd1b6e8c6134d3e729a4e858b38"},
+    {file = "multidict-6.0.5-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:e02021f87a5b6932fa6ce916ca004c4d441509d33bbdbeca70d05dff5e9d2479"},
+    {file = "multidict-6.0.5-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:ebd8d160f91a764652d3e51ce0d2956b38efe37c9231cd82cfc0bed2e40b581c"},
+    {file = "multidict-6.0.5-cp39-cp39-win32.whl", hash = "sha256:04da1bb8c8dbadf2a18a452639771951c662c5ad03aefe4884775454be322c9b"},
+    {file = "multidict-6.0.5-cp39-cp39-win_amd64.whl", hash = "sha256:d6f6d4f185481c9669b9447bf9d9cf3b95a0e9df9d169bbc17e363b7d5487755"},
+    {file = "multidict-6.0.5-py3-none-any.whl", hash = "sha256:0d63c74e3d7ab26de115c49bffc92cc77ed23395303d496eae515d4204a625e7"},
+    {file = "multidict-6.0.5.tar.gz", hash = "sha256:f7e301075edaf50500f0b341543c41194d8df3ae5caf4702f2095f3ca73dd8da"},
+]
+
+[[package]]
+name = "multiprocess"
+version = "0.70.16"
+description = "better multiprocessing and multithreading in Python"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "multiprocess-0.70.16-pp310-pypy310_pp73-macosx_10_13_x86_64.whl", hash = "sha256:476887be10e2f59ff183c006af746cb6f1fd0eadcfd4ef49e605cbe2659920ee"},
+    {file = "multiprocess-0.70.16-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:d951bed82c8f73929ac82c61f01a7b5ce8f3e5ef40f5b52553b4f547ce2b08ec"},
+    {file = "multiprocess-0.70.16-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:37b55f71c07e2d741374998c043b9520b626a8dddc8b3129222ca4f1a06ef67a"},
+    {file = "multiprocess-0.70.16-pp38-pypy38_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:ba8c31889abf4511c7308a8c52bb4a30b9d590e7f58523302ba00237702ca054"},
+    {file = "multiprocess-0.70.16-pp39-pypy39_pp73-macosx_10_13_x86_64.whl", hash = "sha256:0dfd078c306e08d46d7a8d06fb120313d87aa43af60d66da43ffff40b44d2f41"},
+    {file = "multiprocess-0.70.16-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:e7b9d0f307cd9bd50851afaac0dba2cb6c44449efff697df7c7645f7d3f2be3a"},
+    {file = "multiprocess-0.70.16-py310-none-any.whl", hash = "sha256:c4a9944c67bd49f823687463660a2d6daae94c289adff97e0f9d696ba6371d02"},
+    {file = "multiprocess-0.70.16-py311-none-any.whl", hash = "sha256:af4cabb0dac72abfb1e794fa7855c325fd2b55a10a44628a3c1ad3311c04127a"},
+    {file = "multiprocess-0.70.16-py312-none-any.whl", hash = "sha256:fc0544c531920dde3b00c29863377f87e1632601092ea2daca74e4beb40faa2e"},
+    {file = "multiprocess-0.70.16-py38-none-any.whl", hash = "sha256:a71d82033454891091a226dfc319d0cfa8019a4e888ef9ca910372a446de4435"},
+    {file = "multiprocess-0.70.16-py39-none-any.whl", hash = "sha256:a0bafd3ae1b732eac64be2e72038231c1ba97724b60b09400d68f229fcc2fbf3"},
+    {file = "multiprocess-0.70.16.tar.gz", hash = "sha256:161af703d4652a0e1410be6abccecde4a7ddffd19341be0a7011b94aeb171ac1"},
+]
+
+[package.dependencies]
+dill = ">=0.3.8"
+
+[[package]]
+name = "mypy-extensions"
+version = "1.0.0"
+description = "Type system extensions for programs checked with the mypy type checker."
+optional = false
+python-versions = ">=3.5"
+files = [
+    {file = "mypy_extensions-1.0.0-py3-none-any.whl", hash = "sha256:4392f6c0eb8a5668a69e23d168ffa70f0be9ccfd32b5cc2d26a34ae5b844552d"},
+    {file = "mypy_extensions-1.0.0.tar.gz", hash = "sha256:75dbf8955dc00442a438fc4d0666508a9a97b6bd41aa2f0ffe9d2f2725af0782"},
+]
+
+[[package]]
+name = "nest-asyncio"
+version = "1.6.0"
+description = "Patch asyncio to allow nested event loops"
+optional = false
+python-versions = ">=3.5"
+files = [
+    {file = "nest_asyncio-1.6.0-py3-none-any.whl", hash = "sha256:87af6efd6b5e897c81050477ef65c62e2b2f35d51703cae01aff2905b1852e1c"},
+    {file = "nest_asyncio-1.6.0.tar.gz", hash = "sha256:6f172d5449aca15afd6c646851f4e31e02c598d553a667e38cafa997cfec55fe"},
+]
+
+[[package]]
+name = "numpy"
+version = "1.26.4"
+description = "Fundamental package for array computing in Python"
+optional = false
+python-versions = ">=3.9"
+files = [
+    {file = "numpy-1.26.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9ff0f4f29c51e2803569d7a51c2304de5554655a60c5d776e35b4a41413830d0"},
+    {file = "numpy-1.26.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2e4ee3380d6de9c9ec04745830fd9e2eccb3e6cf790d39d7b98ffd19b0dd754a"},
+    {file = "numpy-1.26.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d209d8969599b27ad20994c8e41936ee0964e6da07478d6c35016bc386b66ad4"},
+    {file = "numpy-1.26.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ffa75af20b44f8dba823498024771d5ac50620e6915abac414251bd971b4529f"},
+    {file = "numpy-1.26.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:62b8e4b1e28009ef2846b4c7852046736bab361f7aeadeb6a5b89ebec3c7055a"},
+    {file = "numpy-1.26.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:a4abb4f9001ad2858e7ac189089c42178fcce737e4169dc61321660f1a96c7d2"},
+    {file = "numpy-1.26.4-cp310-cp310-win32.whl", hash = "sha256:bfe25acf8b437eb2a8b2d49d443800a5f18508cd811fea3181723922a8a82b07"},
+    {file = "numpy-1.26.4-cp310-cp310-win_amd64.whl", hash = "sha256:b97fe8060236edf3662adfc2c633f56a08ae30560c56310562cb4f95500022d5"},
+    {file = "numpy-1.26.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:4c66707fabe114439db9068ee468c26bbdf909cac0fb58686a42a24de1760c71"},
+    {file = "numpy-1.26.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:edd8b5fe47dab091176d21bb6de568acdd906d1887a4584a15a9a96a1dca06ef"},
+    {file = "numpy-1.26.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7ab55401287bfec946ced39700c053796e7cc0e3acbef09993a9ad2adba6ca6e"},
+    {file = "numpy-1.26.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:666dbfb6ec68962c033a450943ded891bed2d54e6755e35e5835d63f4f6931d5"},
+    {file = "numpy-1.26.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:96ff0b2ad353d8f990b63294c8986f1ec3cb19d749234014f4e7eb0112ceba5a"},
+    {file = "numpy-1.26.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:60dedbb91afcbfdc9bc0b1f3f402804070deed7392c23eb7a7f07fa857868e8a"},
+    {file = "numpy-1.26.4-cp311-cp311-win32.whl", hash = "sha256:1af303d6b2210eb850fcf03064d364652b7120803a0b872f5211f5234b399f20"},
+    {file = "numpy-1.26.4-cp311-cp311-win_amd64.whl", hash = "sha256:cd25bcecc4974d09257ffcd1f098ee778f7834c3ad767fe5db785be9a4aa9cb2"},
+    {file = "numpy-1.26.4-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:b3ce300f3644fb06443ee2222c2201dd3a89ea6040541412b8fa189341847218"},
+    {file = "numpy-1.26.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b"},
+    {file = "numpy-1.26.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9fad7dcb1aac3c7f0584a5a8133e3a43eeb2fe127f47e3632d43d677c66c102b"},
+    {file = "numpy-1.26.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:675d61ffbfa78604709862923189bad94014bef562cc35cf61d3a07bba02a7ed"},
+    {file = "numpy-1.26.4-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:ab47dbe5cc8210f55aa58e4805fe224dac469cde56b9f731a4c098b91917159a"},
+    {file = "numpy-1.26.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:1dda2e7b4ec9dd512f84935c5f126c8bd8b9f2fc001e9f54af255e8c5f16b0e0"},
+    {file = "numpy-1.26.4-cp312-cp312-win32.whl", hash = "sha256:50193e430acfc1346175fcbdaa28ffec49947a06918b7b92130744e81e640110"},
+    {file = "numpy-1.26.4-cp312-cp312-win_amd64.whl", hash = "sha256:08beddf13648eb95f8d867350f6a018a4be2e5ad54c8d8caed89ebca558b2818"},
+    {file = "numpy-1.26.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:7349ab0fa0c429c82442a27a9673fc802ffdb7c7775fad780226cb234965e53c"},
+    {file = "numpy-1.26.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:52b8b60467cd7dd1e9ed082188b4e6bb35aa5cdd01777621a1658910745b90be"},
+    {file = "numpy-1.26.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d5241e0a80d808d70546c697135da2c613f30e28251ff8307eb72ba696945764"},
+    {file = "numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f870204a840a60da0b12273ef34f7051e98c3b5961b61b0c2c1be6dfd64fbcd3"},
+    {file = "numpy-1.26.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:679b0076f67ecc0138fd2ede3a8fd196dddc2ad3254069bcb9faf9a79b1cebcd"},
+    {file = "numpy-1.26.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:47711010ad8555514b434df65f7d7b076bb8261df1ca9bb78f53d3b2db02e95c"},
+    {file = "numpy-1.26.4-cp39-cp39-win32.whl", hash = "sha256:a354325ee03388678242a4d7ebcd08b5c727033fcff3b2f536aea978e15ee9e6"},
+    {file = "numpy-1.26.4-cp39-cp39-win_amd64.whl", hash = "sha256:3373d5d70a5fe74a2c1bb6d2cfd9609ecf686d47a2d7b1d37a8f3b6bf6003aea"},
+    {file = "numpy-1.26.4-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:afedb719a9dcfc7eaf2287b839d8198e06dcd4cb5d276a3df279231138e83d30"},
+    {file = "numpy-1.26.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:95a7476c59002f2f6c590b9b7b998306fba6a5aa646b1e22ddfeaf8f78c3a29c"},
+    {file = "numpy-1.26.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:7e50d0a0cc3189f9cb0aeb3a6a6af18c16f59f004b866cd2be1c14b36134a4a0"},
+    {file = "numpy-1.26.4.tar.gz", hash = "sha256:2a02aba9ed12e4ac4eb3ea9421c420301a0c6460d9830d74a9df87efa4912010"},
+]
+
+[[package]]
+name = "orjson"
+version = "3.10.0"
+description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "orjson-3.10.0-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:47af5d4b850a2d1328660661f0881b67fdbe712aea905dadd413bdea6f792c33"},
+    {file = "orjson-3.10.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c90681333619d78360d13840c7235fdaf01b2b129cb3a4f1647783b1971542b6"},
+    {file = "orjson-3.10.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:400c5b7c4222cb27b5059adf1fb12302eebcabf1978f33d0824aa5277ca899bd"},
+    {file = "orjson-3.10.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5dcb32e949eae80fb335e63b90e5808b4b0f64e31476b3777707416b41682db5"},
+    {file = "orjson-3.10.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:aa7d507c7493252c0a0264b5cc7e20fa2f8622b8a83b04d819b5ce32c97cf57b"},
+    {file = "orjson-3.10.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e286a51def6626f1e0cc134ba2067dcf14f7f4b9550f6dd4535fd9d79000040b"},
+    {file = "orjson-3.10.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:8acd4b82a5f3a3ec8b1dc83452941d22b4711964c34727eb1e65449eead353ca"},
+    {file = "orjson-3.10.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:30707e646080dd3c791f22ce7e4a2fc2438765408547c10510f1f690bd336217"},
+    {file = "orjson-3.10.0-cp310-none-win32.whl", hash = "sha256:115498c4ad34188dcb73464e8dc80e490a3e5e88a925907b6fedcf20e545001a"},
+    {file = "orjson-3.10.0-cp310-none-win_amd64.whl", hash = "sha256:6735dd4a5a7b6df00a87d1d7a02b84b54d215fb7adac50dd24da5997ffb4798d"},
+    {file = "orjson-3.10.0-cp311-cp311-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:9587053e0cefc284e4d1cd113c34468b7d3f17666d22b185ea654f0775316a26"},
+    {file = "orjson-3.10.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1bef1050b1bdc9ea6c0d08468e3e61c9386723633b397e50b82fda37b3563d72"},
+    {file = "orjson-3.10.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d16c6963ddf3b28c0d461641517cd312ad6b3cf303d8b87d5ef3fa59d6844337"},
+    {file = "orjson-3.10.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4251964db47ef090c462a2d909f16c7c7d5fe68e341dabce6702879ec26d1134"},
+    {file = "orjson-3.10.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:73bbbdc43d520204d9ef0817ac03fa49c103c7f9ea94f410d2950755be2c349c"},
+    {file = "orjson-3.10.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:414e5293b82373606acf0d66313aecb52d9c8c2404b1900683eb32c3d042dbd7"},
+    {file = "orjson-3.10.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:feaed5bb09877dc27ed0d37f037ddef6cb76d19aa34b108db270d27d3d2ef747"},
+    {file = "orjson-3.10.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:5127478260db640323cea131ee88541cb1a9fbce051f0b22fa2f0892f44da302"},
+    {file = "orjson-3.10.0-cp311-none-win32.whl", hash = "sha256:b98345529bafe3c06c09996b303fc0a21961820d634409b8639bc16bd4f21b63"},
+    {file = "orjson-3.10.0-cp311-none-win_amd64.whl", hash = "sha256:658ca5cee3379dd3d37dbacd43d42c1b4feee99a29d847ef27a1cb18abdfb23f"},
+    {file = "orjson-3.10.0-cp312-cp312-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:4329c1d24fd130ee377e32a72dc54a3c251e6706fccd9a2ecb91b3606fddd998"},
+    {file = "orjson-3.10.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ef0f19fdfb6553342b1882f438afd53c7cb7aea57894c4490c43e4431739c700"},
+    {file = "orjson-3.10.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c4f60db24161534764277f798ef53b9d3063092f6d23f8f962b4a97edfa997a0"},
+    {file = "orjson-3.10.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1de3fd5c7b208d836f8ecb4526995f0d5877153a4f6f12f3e9bf11e49357de98"},
+    {file = "orjson-3.10.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f93e33f67729d460a177ba285002035d3f11425ed3cebac5f6ded4ef36b28344"},
+    {file = "orjson-3.10.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:237ba922aef472761acd697eef77fef4831ab769a42e83c04ac91e9f9e08fa0e"},
+    {file = "orjson-3.10.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:98c1bfc6a9bec52bc8f0ab9b86cc0874b0299fccef3562b793c1576cf3abb570"},
+    {file = "orjson-3.10.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:30d795a24be16c03dca0c35ca8f9c8eaaa51e3342f2c162d327bd0225118794a"},
+    {file = "orjson-3.10.0-cp312-none-win32.whl", hash = "sha256:6a3f53dc650bc860eb26ec293dfb489b2f6ae1cbfc409a127b01229980e372f7"},
+    {file = "orjson-3.10.0-cp312-none-win_amd64.whl", hash = "sha256:983db1f87c371dc6ffc52931eb75f9fe17dc621273e43ce67bee407d3e5476e9"},
+    {file = "orjson-3.10.0-cp38-cp38-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:9a667769a96a72ca67237224a36faf57db0c82ab07d09c3aafc6f956196cfa1b"},
+    {file = "orjson-3.10.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ade1e21dfde1d37feee8cf6464c20a2f41fa46c8bcd5251e761903e46102dc6b"},
+    {file = "orjson-3.10.0-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:23c12bb4ced1c3308eff7ba5c63ef8f0edb3e4c43c026440247dd6c1c61cea4b"},
+    {file = "orjson-3.10.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b2d014cf8d4dc9f03fc9f870de191a49a03b1bcda51f2a957943fb9fafe55aac"},
+    {file = "orjson-3.10.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:eadecaa16d9783affca33597781328e4981b048615c2ddc31c47a51b833d6319"},
+    {file = "orjson-3.10.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cd583341218826f48bd7c6ebf3310b4126216920853cbc471e8dbeaf07b0b80e"},
+    {file = "orjson-3.10.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:90bfc137c75c31d32308fd61951d424424426ddc39a40e367704661a9ee97095"},
+    {file = "orjson-3.10.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:13b5d3c795b09a466ec9fcf0bd3ad7b85467d91a60113885df7b8d639a9d374b"},
+    {file = "orjson-3.10.0-cp38-none-win32.whl", hash = "sha256:5d42768db6f2ce0162544845facb7c081e9364a5eb6d2ef06cd17f6050b048d8"},
+    {file = "orjson-3.10.0-cp38-none-win_amd64.whl", hash = "sha256:33e6655a2542195d6fd9f850b428926559dee382f7a862dae92ca97fea03a5ad"},
+    {file = "orjson-3.10.0-cp39-cp39-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:4050920e831a49d8782a1720d3ca2f1c49b150953667eed6e5d63a62e80f46a2"},
+    {file = "orjson-3.10.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1897aa25a944cec774ce4a0e1c8e98fb50523e97366c637b7d0cddabc42e6643"},
+    {file = "orjson-3.10.0-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:9bf565a69e0082ea348c5657401acec3cbbb31564d89afebaee884614fba36b4"},
+    {file = "orjson-3.10.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b6ebc17cfbbf741f5c1a888d1854354536f63d84bee537c9a7c0335791bb9009"},
+    {file = "orjson-3.10.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d2817877d0b69f78f146ab305c5975d0618df41acf8811249ee64231f5953fee"},
+    {file = "orjson-3.10.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:57d017863ec8aa4589be30a328dacd13c2dc49de1c170bc8d8c8a98ece0f2925"},
+    {file = "orjson-3.10.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:22c2f7e377ac757bd3476ecb7480c8ed79d98ef89648f0176deb1da5cd014eb7"},
+    {file = "orjson-3.10.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:e62ba42bfe64c60c1bc84799944f80704e996592c6b9e14789c8e2a303279912"},
+    {file = "orjson-3.10.0-cp39-none-win32.whl", hash = "sha256:60c0b1bdbccd959ebd1575bd0147bd5e10fc76f26216188be4a36b691c937077"},
+    {file = "orjson-3.10.0-cp39-none-win_amd64.whl", hash = "sha256:175a41500ebb2fdf320bf78e8b9a75a1279525b62ba400b2b2444e274c2c8bee"},
+    {file = "orjson-3.10.0.tar.gz", hash = "sha256:ba4d8cac5f2e2cff36bea6b6481cdb92b38c202bcec603d6f5ff91960595a1ed"},
+]
+
+[[package]]
+name = "packaging"
+version = "24.1"
+description = "Core utilities for Python packages"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "packaging-24.1-py3-none-any.whl", hash = "sha256:5b8f2217dbdbd2f7f384c41c628544e6d52f2d0f53c6d0c3ea61aa5d1d7ff124"},
+    {file = "packaging-24.1.tar.gz", hash = "sha256:026ed72c8ed3fcce5bf8950572258698927fd1dbda10a5e981cdf0ac37f4f002"},
+]
+
+[[package]]
+name = "pandas"
+version = "2.2.0"
+description = "Powerful data structures for data analysis, time series, and statistics"
+optional = false
+python-versions = ">=3.9"
+files = [
+    {file = "pandas-2.2.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8108ee1712bb4fa2c16981fba7e68b3f6ea330277f5ca34fa8d557e986a11670"},
+    {file = "pandas-2.2.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:736da9ad4033aeab51d067fc3bd69a0ba36f5a60f66a527b3d72e2030e63280a"},
+    {file = "pandas-2.2.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:38e0b4fc3ddceb56ec8a287313bc22abe17ab0eb184069f08fc6a9352a769b18"},
+    {file = "pandas-2.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:20404d2adefe92aed3b38da41d0847a143a09be982a31b85bc7dd565bdba0f4e"},
+    {file = "pandas-2.2.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:7ea3ee3f125032bfcade3a4cf85131ed064b4f8dd23e5ce6fa16473e48ebcaf5"},
+    {file = "pandas-2.2.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:f9670b3ac00a387620489dfc1bca66db47a787f4e55911f1293063a78b108df1"},
+    {file = "pandas-2.2.0-cp310-cp310-win_amd64.whl", hash = "sha256:5a946f210383c7e6d16312d30b238fd508d80d927014f3b33fb5b15c2f895430"},
+    {file = "pandas-2.2.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:a1b438fa26b208005c997e78672f1aa8138f67002e833312e6230f3e57fa87d5"},
+    {file = "pandas-2.2.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:8ce2fbc8d9bf303ce54a476116165220a1fedf15985b09656b4b4275300e920b"},
+    {file = "pandas-2.2.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2707514a7bec41a4ab81f2ccce8b382961a29fbe9492eab1305bb075b2b1ff4f"},
+    {file = "pandas-2.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:85793cbdc2d5bc32620dc8ffa715423f0c680dacacf55056ba13454a5be5de88"},
+    {file = "pandas-2.2.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:cfd6c2491dc821b10c716ad6776e7ab311f7df5d16038d0b7458bc0b67dc10f3"},
+    {file = "pandas-2.2.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:a146b9dcacc3123aa2b399df1a284de5f46287a4ab4fbfc237eac98a92ebcb71"},
+    {file = "pandas-2.2.0-cp311-cp311-win_amd64.whl", hash = "sha256:fbc1b53c0e1fdf16388c33c3cca160f798d38aea2978004dd3f4d3dec56454c9"},
+    {file = "pandas-2.2.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:a41d06f308a024981dcaa6c41f2f2be46a6b186b902c94c2674e8cb5c42985bc"},
+    {file = "pandas-2.2.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:159205c99d7a5ce89ecfc37cb08ed179de7783737cea403b295b5eda8e9c56d1"},
+    {file = "pandas-2.2.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:eb1e1f3861ea9132b32f2133788f3b14911b68102d562715d71bd0013bc45440"},
+    {file = "pandas-2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:761cb99b42a69005dec2b08854fb1d4888fdf7b05db23a8c5a099e4b886a2106"},
+    {file = "pandas-2.2.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:a20628faaf444da122b2a64b1e5360cde100ee6283ae8effa0d8745153809a2e"},
+    {file = "pandas-2.2.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:f5be5d03ea2073627e7111f61b9f1f0d9625dc3c4d8dda72cc827b0c58a1d042"},
+    {file = "pandas-2.2.0-cp312-cp312-win_amd64.whl", hash = "sha256:a626795722d893ed6aacb64d2401d017ddc8a2341b49e0384ab9bf7112bdec30"},
+    {file = "pandas-2.2.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:9f66419d4a41132eb7e9a73dcec9486cf5019f52d90dd35547af11bc58f8637d"},
+    {file = "pandas-2.2.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:57abcaeda83fb80d447f28ab0cc7b32b13978f6f733875ebd1ed14f8fbc0f4ab"},
+    {file = "pandas-2.2.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e60f1f7dba3c2d5ca159e18c46a34e7ca7247a73b5dd1a22b6d59707ed6b899a"},
+    {file = "pandas-2.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eb61dc8567b798b969bcc1fc964788f5a68214d333cade8319c7ab33e2b5d88a"},
+    {file = "pandas-2.2.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:52826b5f4ed658fa2b729264d63f6732b8b29949c7fd234510d57c61dbeadfcd"},
+    {file = "pandas-2.2.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:bde2bc699dbd80d7bc7f9cab1e23a95c4375de615860ca089f34e7c64f4a8de7"},
+    {file = "pandas-2.2.0-cp39-cp39-win_amd64.whl", hash = "sha256:3de918a754bbf2da2381e8a3dcc45eede8cd7775b047b923f9006d5f876802ae"},
+    {file = "pandas-2.2.0.tar.gz", hash = "sha256:30b83f7c3eb217fb4d1b494a57a2fda5444f17834f5df2de6b2ffff68dc3c8e2"},
+]
+
+[package.dependencies]
+numpy = [
+    {version = ">=1.22.4,<2", markers = "python_version < \"3.11\""},
+    {version = ">=1.23.2,<2", markers = "python_version == \"3.11\""},
+    {version = ">=1.26.0,<2", markers = "python_version >= \"3.12\""},
+]
+python-dateutil = ">=2.8.2"
+pytz = ">=2020.1"
+tzdata = ">=2022.7"
+
+[package.extras]
+all = ["PyQt5 (>=5.15.9)", "SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "adbc-driver-sqlite (>=0.8.0)", "beautifulsoup4 (>=4.11.2)", "bottleneck (>=1.3.6)", "dataframe-api-compat (>=0.1.7)", "fastparquet (>=2022.12.0)", "fsspec (>=2022.11.0)", "gcsfs (>=2022.11.0)", "html5lib (>=1.1)", "hypothesis (>=6.46.1)", "jinja2 (>=3.1.2)", "lxml (>=4.9.2)", "matplotlib (>=3.6.3)", "numba (>=0.56.4)", "numexpr (>=2.8.4)", "odfpy (>=1.4.1)", "openpyxl (>=3.1.0)", "pandas-gbq (>=0.19.0)", "psycopg2 (>=2.9.6)", "pyarrow (>=10.0.1)", "pymysql (>=1.0.2)", "pyreadstat (>=1.2.0)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)", "python-calamine (>=0.1.7)", "pyxlsb (>=1.0.10)", "qtpy (>=2.3.0)", "s3fs (>=2022.11.0)", "scipy (>=1.10.0)", "tables (>=3.8.0)", "tabulate (>=0.9.0)", "xarray (>=2022.12.0)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.5)", "zstandard (>=0.19.0)"]
+aws = ["s3fs (>=2022.11.0)"]
+clipboard = ["PyQt5 (>=5.15.9)", "qtpy (>=2.3.0)"]
+compression = ["zstandard (>=0.19.0)"]
+computation = ["scipy (>=1.10.0)", "xarray (>=2022.12.0)"]
+consortium-standard = ["dataframe-api-compat (>=0.1.7)"]
+excel = ["odfpy (>=1.4.1)", "openpyxl (>=3.1.0)", "python-calamine (>=0.1.7)", "pyxlsb (>=1.0.10)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.5)"]
+feather = ["pyarrow (>=10.0.1)"]
+fss = ["fsspec (>=2022.11.0)"]
+gcp = ["gcsfs (>=2022.11.0)", "pandas-gbq (>=0.19.0)"]
+hdf5 = ["tables (>=3.8.0)"]
+html = ["beautifulsoup4 (>=4.11.2)", "html5lib (>=1.1)", "lxml (>=4.9.2)"]
+mysql = ["SQLAlchemy (>=2.0.0)", "pymysql (>=1.0.2)"]
+output-formatting = ["jinja2 (>=3.1.2)", "tabulate (>=0.9.0)"]
+parquet = ["pyarrow (>=10.0.1)"]
+performance = ["bottleneck (>=1.3.6)", "numba (>=0.56.4)", "numexpr (>=2.8.4)"]
+plot = ["matplotlib (>=3.6.3)"]
+postgresql = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "psycopg2 (>=2.9.6)"]
+spss = ["pyreadstat (>=1.2.0)"]
+sql-other = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "adbc-driver-sqlite (>=0.8.0)"]
+test = ["hypothesis (>=6.46.1)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)"]
+xml = ["lxml (>=4.9.2)"]
+
+[[package]]
+name = "passlib"
+version = "1.7.4"
+description = "comprehensive password hashing framework supporting over 30 schemes"
+optional = false
+python-versions = "*"
+files = [
+    {file = "passlib-1.7.4-py2.py3-none-any.whl", hash = "sha256:aa6bca462b8d8bda89c70b382f0c298a20b5560af6cbfa2dce410c0a2fb669f1"},
+    {file = "passlib-1.7.4.tar.gz", hash = "sha256:defd50f72b65c5402ab2c573830a6978e5f202ad0d984793c8dde2c4152ebe04"},
+]
+
+[package.extras]
+argon2 = ["argon2-cffi (>=18.2.0)"]
+bcrypt = ["bcrypt (>=3.1.0)"]
+build-docs = ["cloud-sptheme (>=1.10.1)", "sphinx (>=1.6)", "sphinxcontrib-fulltoc (>=1.2.0)"]
+totp = ["cryptography"]
+
+[[package]]
+name = "pillow"
+version = "10.3.0"
+description = "Python Imaging Library (Fork)"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "pillow-10.3.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:90b9e29824800e90c84e4022dd5cc16eb2d9605ee13f05d47641eb183cd73d45"},
+    {file = "pillow-10.3.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a2c405445c79c3f5a124573a051062300936b0281fee57637e706453e452746c"},
+    {file = "pillow-10.3.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:78618cdbccaa74d3f88d0ad6cb8ac3007f1a6fa5c6f19af64b55ca170bfa1edf"},
+    {file = "pillow-10.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:261ddb7ca91fcf71757979534fb4c128448b5b4c55cb6152d280312062f69599"},
+    {file = "pillow-10.3.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:ce49c67f4ea0609933d01c0731b34b8695a7a748d6c8d186f95e7d085d2fe475"},
+    {file = "pillow-10.3.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:b14f16f94cbc61215115b9b1236f9c18403c15dd3c52cf629072afa9d54c1cbf"},
+    {file = "pillow-10.3.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:d33891be6df59d93df4d846640f0e46f1a807339f09e79a8040bc887bdcd7ed3"},
+    {file = "pillow-10.3.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:b50811d664d392f02f7761621303eba9d1b056fb1868c8cdf4231279645c25f5"},
+    {file = "pillow-10.3.0-cp310-cp310-win32.whl", hash = "sha256:ca2870d5d10d8726a27396d3ca4cf7976cec0f3cb706debe88e3a5bd4610f7d2"},
+    {file = "pillow-10.3.0-cp310-cp310-win_amd64.whl", hash = "sha256:f0d0591a0aeaefdaf9a5e545e7485f89910c977087e7de2b6c388aec32011e9f"},
+    {file = "pillow-10.3.0-cp310-cp310-win_arm64.whl", hash = "sha256:ccce24b7ad89adb5a1e34a6ba96ac2530046763912806ad4c247356a8f33a67b"},
+    {file = "pillow-10.3.0-cp311-cp311-macosx_10_10_x86_64.whl", hash = "sha256:5f77cf66e96ae734717d341c145c5949c63180842a545c47a0ce7ae52ca83795"},
+    {file = "pillow-10.3.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:e4b878386c4bf293578b48fc570b84ecfe477d3b77ba39a6e87150af77f40c57"},
+    {file = "pillow-10.3.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fdcbb4068117dfd9ce0138d068ac512843c52295ed996ae6dd1faf537b6dbc27"},
+    {file = "pillow-10.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9797a6c8fe16f25749b371c02e2ade0efb51155e767a971c61734b1bf6293994"},
+    {file = "pillow-10.3.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:9e91179a242bbc99be65e139e30690e081fe6cb91a8e77faf4c409653de39451"},
+    {file = "pillow-10.3.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:1b87bd9d81d179bd8ab871603bd80d8645729939f90b71e62914e816a76fc6bd"},
+    {file = "pillow-10.3.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:81d09caa7b27ef4e61cb7d8fbf1714f5aec1c6b6c5270ee53504981e6e9121ad"},
+    {file = "pillow-10.3.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:048ad577748b9fa4a99a0548c64f2cb8d672d5bf2e643a739ac8faff1164238c"},
+    {file = "pillow-10.3.0-cp311-cp311-win32.whl", hash = "sha256:7161ec49ef0800947dc5570f86568a7bb36fa97dd09e9827dc02b718c5643f09"},
+    {file = "pillow-10.3.0-cp311-cp311-win_amd64.whl", hash = "sha256:8eb0908e954d093b02a543dc963984d6e99ad2b5e36503d8a0aaf040505f747d"},
+    {file = "pillow-10.3.0-cp311-cp311-win_arm64.whl", hash = "sha256:4e6f7d1c414191c1199f8996d3f2282b9ebea0945693fb67392c75a3a320941f"},
+    {file = "pillow-10.3.0-cp312-cp312-macosx_10_10_x86_64.whl", hash = "sha256:e46f38133e5a060d46bd630faa4d9fa0202377495df1f068a8299fd78c84de84"},
+    {file = "pillow-10.3.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:50b8eae8f7334ec826d6eeffaeeb00e36b5e24aa0b9df322c247539714c6df19"},
+    {file = "pillow-10.3.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9d3bea1c75f8c53ee4d505c3e67d8c158ad4df0d83170605b50b64025917f338"},
+    {file = "pillow-10.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:19aeb96d43902f0a783946a0a87dbdad5c84c936025b8419da0a0cd7724356b1"},
+    {file = "pillow-10.3.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:74d28c17412d9caa1066f7a31df8403ec23d5268ba46cd0ad2c50fb82ae40462"},
+    {file = "pillow-10.3.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:ff61bfd9253c3915e6d41c651d5f962da23eda633cf02262990094a18a55371a"},
+    {file = "pillow-10.3.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:d886f5d353333b4771d21267c7ecc75b710f1a73d72d03ca06df49b09015a9ef"},
+    {file = "pillow-10.3.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:4b5ec25d8b17217d635f8935dbc1b9aa5907962fae29dff220f2659487891cd3"},
+    {file = "pillow-10.3.0-cp312-cp312-win32.whl", hash = "sha256:51243f1ed5161b9945011a7360e997729776f6e5d7005ba0c6879267d4c5139d"},
+    {file = "pillow-10.3.0-cp312-cp312-win_amd64.whl", hash = "sha256:412444afb8c4c7a6cc11a47dade32982439925537e483be7c0ae0cf96c4f6a0b"},
+    {file = "pillow-10.3.0-cp312-cp312-win_arm64.whl", hash = "sha256:798232c92e7665fe82ac085f9d8e8ca98826f8e27859d9a96b41d519ecd2e49a"},
+    {file = "pillow-10.3.0-cp38-cp38-macosx_10_10_x86_64.whl", hash = "sha256:4eaa22f0d22b1a7e93ff0a596d57fdede2e550aecffb5a1ef1106aaece48e96b"},
+    {file = "pillow-10.3.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:cd5e14fbf22a87321b24c88669aad3a51ec052eb145315b3da3b7e3cc105b9a2"},
+    {file = "pillow-10.3.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1530e8f3a4b965eb6a7785cf17a426c779333eb62c9a7d1bbcf3ffd5bf77a4aa"},
+    {file = "pillow-10.3.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5d512aafa1d32efa014fa041d38868fda85028e3f930a96f85d49c7d8ddc0383"},
+    {file = "pillow-10.3.0-cp38-cp38-manylinux_2_28_aarch64.whl", hash = "sha256:339894035d0ede518b16073bdc2feef4c991ee991a29774b33e515f1d308e08d"},
+    {file = "pillow-10.3.0-cp38-cp38-manylinux_2_28_x86_64.whl", hash = "sha256:aa7e402ce11f0885305bfb6afb3434b3cd8f53b563ac065452d9d5654c7b86fd"},
+    {file = "pillow-10.3.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:0ea2a783a2bdf2a561808fe4a7a12e9aa3799b701ba305de596bc48b8bdfce9d"},
+    {file = "pillow-10.3.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:c78e1b00a87ce43bb37642c0812315b411e856a905d58d597750eb79802aaaa3"},
+    {file = "pillow-10.3.0-cp38-cp38-win32.whl", hash = "sha256:72d622d262e463dfb7595202d229f5f3ab4b852289a1cd09650362db23b9eb0b"},
+    {file = "pillow-10.3.0-cp38-cp38-win_amd64.whl", hash = "sha256:2034f6759a722da3a3dbd91a81148cf884e91d1b747992ca288ab88c1de15999"},
+    {file = "pillow-10.3.0-cp39-cp39-macosx_10_10_x86_64.whl", hash = "sha256:2ed854e716a89b1afcedea551cd85f2eb2a807613752ab997b9974aaa0d56936"},
+    {file = "pillow-10.3.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:dc1a390a82755a8c26c9964d457d4c9cbec5405896cba94cf51f36ea0d855002"},
+    {file = "pillow-10.3.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4203efca580f0dd6f882ca211f923168548f7ba334c189e9eab1178ab840bf60"},
+    {file = "pillow-10.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3102045a10945173d38336f6e71a8dc71bcaeed55c3123ad4af82c52807b9375"},
+    {file = "pillow-10.3.0-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:6fb1b30043271ec92dc65f6d9f0b7a830c210b8a96423074b15c7bc999975f57"},
+    {file = "pillow-10.3.0-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:1dfc94946bc60ea375cc39cff0b8da6c7e5f8fcdc1d946beb8da5c216156ddd8"},
+    {file = "pillow-10.3.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:b09b86b27a064c9624d0a6c54da01c1beaf5b6cadfa609cf63789b1d08a797b9"},
+    {file = "pillow-10.3.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:d3b2348a78bc939b4fed6552abfd2e7988e0f81443ef3911a4b8498ca084f6eb"},
+    {file = "pillow-10.3.0-cp39-cp39-win32.whl", hash = "sha256:45ebc7b45406febf07fef35d856f0293a92e7417ae7933207e90bf9090b70572"},
+    {file = "pillow-10.3.0-cp39-cp39-win_amd64.whl", hash = "sha256:0ba26351b137ca4e0db0342d5d00d2e355eb29372c05afd544ebf47c0956ffeb"},
+    {file = "pillow-10.3.0-cp39-cp39-win_arm64.whl", hash = "sha256:50fd3f6b26e3441ae07b7c979309638b72abc1a25da31a81a7fbd9495713ef4f"},
+    {file = "pillow-10.3.0-pp310-pypy310_pp73-macosx_10_10_x86_64.whl", hash = "sha256:6b02471b72526ab8a18c39cb7967b72d194ec53c1fd0a70b050565a0f366d355"},
+    {file = "pillow-10.3.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:8ab74c06ffdab957d7670c2a5a6e1a70181cd10b727cd788c4dd9005b6a8acd9"},
+    {file = "pillow-10.3.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:048eeade4c33fdf7e08da40ef402e748df113fd0b4584e32c4af74fe78baaeb2"},
+    {file = "pillow-10.3.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9e2ec1e921fd07c7cda7962bad283acc2f2a9ccc1b971ee4b216b75fad6f0463"},
+    {file = "pillow-10.3.0-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:4c8e73e99da7db1b4cad7f8d682cf6abad7844da39834c288fbfa394a47bbced"},
+    {file = "pillow-10.3.0-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:16563993329b79513f59142a6b02055e10514c1a8e86dca8b48a893e33cf91e3"},
+    {file = "pillow-10.3.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:dd78700f5788ae180b5ee8902c6aea5a5726bac7c364b202b4b3e3ba2d293170"},
+    {file = "pillow-10.3.0-pp39-pypy39_pp73-macosx_10_10_x86_64.whl", hash = "sha256:aff76a55a8aa8364d25400a210a65ff59d0168e0b4285ba6bf2bd83cf675ba32"},
+    {file = "pillow-10.3.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:b7bc2176354defba3edc2b9a777744462da2f8e921fbaf61e52acb95bafa9828"},
+    {file = "pillow-10.3.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:793b4e24db2e8742ca6423d3fde8396db336698c55cd34b660663ee9e45ed37f"},
+    {file = "pillow-10.3.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d93480005693d247f8346bc8ee28c72a2191bdf1f6b5db469c096c0c867ac015"},
+    {file = "pillow-10.3.0-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:c83341b89884e2b2e55886e8fbbf37c3fa5efd6c8907124aeb72f285ae5696e5"},
+    {file = "pillow-10.3.0-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:1a1d1915db1a4fdb2754b9de292642a39a7fb28f1736699527bb649484fb966a"},
+    {file = "pillow-10.3.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:a0eaa93d054751ee9964afa21c06247779b90440ca41d184aeb5d410f20ff591"},
+    {file = "pillow-10.3.0.tar.gz", hash = "sha256:9d2455fbf44c914840c793e89aa82d0e1763a14253a000743719ae5946814b2d"},
+]
+
+[package.extras]
+docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinx-removed-in", "sphinxext-opengraph"]
+fpx = ["olefile"]
+mic = ["olefile"]
+tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
+typing = ["typing-extensions"]
+xmp = ["defusedxml"]
+
+[[package]]
+name = "platformdirs"
+version = "4.2.2"
+description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "platformdirs-4.2.2-py3-none-any.whl", hash = "sha256:2d7a1657e36a80ea911db832a8a6ece5ee53d8de21edd5cc5879af6530b1bfee"},
+    {file = "platformdirs-4.2.2.tar.gz", hash = "sha256:38b7b51f512eed9e84a22788b4bce1de17c0adb134d6becb09836e37d8654cd3"},
+]
+
+[package.extras]
+docs = ["furo (>=2023.9.10)", "proselint (>=0.13)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"]
+test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)"]
+type = ["mypy (>=1.8)"]
+
+[[package]]
+name = "pyasn1"
+version = "0.6.0"
+description = "Pure-Python implementation of ASN.1 types and DER/BER/CER codecs (X.208)"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "pyasn1-0.6.0-py2.py3-none-any.whl", hash = "sha256:cca4bb0f2df5504f02f6f8a775b6e416ff9b0b3b16f7ee80b5a3153d9b804473"},
+    {file = "pyasn1-0.6.0.tar.gz", hash = "sha256:3a35ab2c4b5ef98e17dfdec8ab074046fbda76e281c5a706ccd82328cfc8f64c"},
+]
+
+[[package]]
+name = "pycparser"
+version = "2.22"
+description = "C parser in Python"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "pycparser-2.22-py3-none-any.whl", hash = "sha256:c3702b6d3dd8c7abc1afa565d7e63d53a1d0bd86cdc24edd75470f4de499cfcc"},
+    {file = "pycparser-2.22.tar.gz", hash = "sha256:491c8be9c040f5390f5bf44a5b07752bd07f56edf992381b05c701439eec10f6"},
+]
+
+[[package]]
+name = "pydantic"
+version = "2.7.4"
+description = "Data validation using Python type hints"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "pydantic-2.7.4-py3-none-any.whl", hash = "sha256:ee8538d41ccb9c0a9ad3e0e5f07bf15ed8015b481ced539a1759d8cc89ae90d0"},
+    {file = "pydantic-2.7.4.tar.gz", hash = "sha256:0c84efd9548d545f63ac0060c1e4d39bb9b14db8b3c0652338aecc07b5adec52"},
+]
+
+[package.dependencies]
+annotated-types = ">=0.4.0"
+pydantic-core = "2.18.4"
+typing-extensions = ">=4.6.1"
+
+[package.extras]
+email = ["email-validator (>=2.0.0)"]
+
+[[package]]
+name = "pydantic-core"
+version = "2.18.4"
+description = "Core functionality for Pydantic validation and serialization"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "pydantic_core-2.18.4-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:f76d0ad001edd426b92233d45c746fd08f467d56100fd8f30e9ace4b005266e4"},
+    {file = "pydantic_core-2.18.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:59ff3e89f4eaf14050c8022011862df275b552caef8082e37b542b066ce1ff26"},
+    {file = "pydantic_core-2.18.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a55b5b16c839df1070bc113c1f7f94a0af4433fcfa1b41799ce7606e5c79ce0a"},
+    {file = "pydantic_core-2.18.4-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:4d0dcc59664fcb8974b356fe0a18a672d6d7cf9f54746c05f43275fc48636851"},
+    {file = "pydantic_core-2.18.4-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8951eee36c57cd128f779e641e21eb40bc5073eb28b2d23f33eb0ef14ffb3f5d"},
+    {file = "pydantic_core-2.18.4-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4701b19f7e3a06ea655513f7938de6f108123bf7c86bbebb1196eb9bd35cf724"},
+    {file = "pydantic_core-2.18.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e00a3f196329e08e43d99b79b286d60ce46bed10f2280d25a1718399457e06be"},
+    {file = "pydantic_core-2.18.4-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:97736815b9cc893b2b7f663628e63f436018b75f44854c8027040e05230eeddb"},
+    {file = "pydantic_core-2.18.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:6891a2ae0e8692679c07728819b6e2b822fb30ca7445f67bbf6509b25a96332c"},
+    {file = "pydantic_core-2.18.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:bc4ff9805858bd54d1a20efff925ccd89c9d2e7cf4986144b30802bf78091c3e"},
+    {file = "pydantic_core-2.18.4-cp310-none-win32.whl", hash = "sha256:1b4de2e51bbcb61fdebd0ab86ef28062704f62c82bbf4addc4e37fa4b00b7cbc"},
+    {file = "pydantic_core-2.18.4-cp310-none-win_amd64.whl", hash = "sha256:6a750aec7bf431517a9fd78cb93c97b9b0c496090fee84a47a0d23668976b4b0"},
+    {file = "pydantic_core-2.18.4-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:942ba11e7dfb66dc70f9ae66b33452f51ac7bb90676da39a7345e99ffb55402d"},
+    {file = "pydantic_core-2.18.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:b2ebef0e0b4454320274f5e83a41844c63438fdc874ea40a8b5b4ecb7693f1c4"},
+    {file = "pydantic_core-2.18.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a642295cd0c8df1b86fc3dced1d067874c353a188dc8e0f744626d49e9aa51c4"},
+    {file = "pydantic_core-2.18.4-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5f09baa656c904807e832cf9cce799c6460c450c4ad80803517032da0cd062e2"},
+    {file = "pydantic_core-2.18.4-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:98906207f29bc2c459ff64fa007afd10a8c8ac080f7e4d5beff4c97086a3dabd"},
+    {file = "pydantic_core-2.18.4-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:19894b95aacfa98e7cb093cd7881a0c76f55731efad31073db4521e2b6ff5b7d"},
+    {file = "pydantic_core-2.18.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0fbbdc827fe5e42e4d196c746b890b3d72876bdbf160b0eafe9f0334525119c8"},
+    {file = "pydantic_core-2.18.4-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f85d05aa0918283cf29a30b547b4df2fbb56b45b135f9e35b6807cb28bc47951"},
+    {file = "pydantic_core-2.18.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:e85637bc8fe81ddb73fda9e56bab24560bdddfa98aa64f87aaa4e4b6730c23d2"},
+    {file = "pydantic_core-2.18.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:2f5966897e5461f818e136b8451d0551a2e77259eb0f73a837027b47dc95dab9"},
+    {file = "pydantic_core-2.18.4-cp311-none-win32.whl", hash = "sha256:44c7486a4228413c317952e9d89598bcdfb06399735e49e0f8df643e1ccd0558"},
+    {file = "pydantic_core-2.18.4-cp311-none-win_amd64.whl", hash = "sha256:8a7164fe2005d03c64fd3b85649891cd4953a8de53107940bf272500ba8a788b"},
+    {file = "pydantic_core-2.18.4-cp311-none-win_arm64.whl", hash = "sha256:4e99bc050fe65c450344421017f98298a97cefc18c53bb2f7b3531eb39bc7805"},
+    {file = "pydantic_core-2.18.4-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:6f5c4d41b2771c730ea1c34e458e781b18cc668d194958e0112455fff4e402b2"},
+    {file = "pydantic_core-2.18.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:2fdf2156aa3d017fddf8aea5adfba9f777db1d6022d392b682d2a8329e087cef"},
+    {file = "pydantic_core-2.18.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4748321b5078216070b151d5271ef3e7cc905ab170bbfd27d5c83ee3ec436695"},
+    {file = "pydantic_core-2.18.4-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:847a35c4d58721c5dc3dba599878ebbdfd96784f3fb8bb2c356e123bdcd73f34"},
+    {file = "pydantic_core-2.18.4-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3c40d4eaad41f78e3bbda31b89edc46a3f3dc6e171bf0ecf097ff7a0ffff7cb1"},
+    {file = "pydantic_core-2.18.4-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:21a5e440dbe315ab9825fcd459b8814bb92b27c974cbc23c3e8baa2b76890077"},
+    {file = "pydantic_core-2.18.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:01dd777215e2aa86dfd664daed5957704b769e726626393438f9c87690ce78c3"},
+    {file = "pydantic_core-2.18.4-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:4b06beb3b3f1479d32befd1f3079cc47b34fa2da62457cdf6c963393340b56e9"},
+    {file = "pydantic_core-2.18.4-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:564d7922e4b13a16b98772441879fcdcbe82ff50daa622d681dd682175ea918c"},
+    {file = "pydantic_core-2.18.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:0eb2a4f660fcd8e2b1c90ad566db2b98d7f3f4717c64fe0a83e0adb39766d5b8"},
+    {file = "pydantic_core-2.18.4-cp312-none-win32.whl", hash = "sha256:8b8bab4c97248095ae0c4455b5a1cd1cdd96e4e4769306ab19dda135ea4cdb07"},
+    {file = "pydantic_core-2.18.4-cp312-none-win_amd64.whl", hash = "sha256:14601cdb733d741b8958224030e2bfe21a4a881fb3dd6fbb21f071cabd48fa0a"},
+    {file = "pydantic_core-2.18.4-cp312-none-win_arm64.whl", hash = "sha256:c1322d7dd74713dcc157a2b7898a564ab091ca6c58302d5c7b4c07296e3fd00f"},
+    {file = "pydantic_core-2.18.4-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:823be1deb01793da05ecb0484d6c9e20baebb39bd42b5d72636ae9cf8350dbd2"},
+    {file = "pydantic_core-2.18.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:ebef0dd9bf9b812bf75bda96743f2a6c5734a02092ae7f721c048d156d5fabae"},
+    {file = "pydantic_core-2.18.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ae1d6df168efb88d7d522664693607b80b4080be6750c913eefb77e34c12c71a"},
+    {file = "pydantic_core-2.18.4-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:f9899c94762343f2cc2fc64c13e7cae4c3cc65cdfc87dd810a31654c9b7358cc"},
+    {file = "pydantic_core-2.18.4-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:99457f184ad90235cfe8461c4d70ab7dd2680e28821c29eca00252ba90308c78"},
+    {file = "pydantic_core-2.18.4-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:18f469a3d2a2fdafe99296a87e8a4c37748b5080a26b806a707f25a902c040a8"},
+    {file = "pydantic_core-2.18.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b7cdf28938ac6b8b49ae5e92f2735056a7ba99c9b110a474473fd71185c1af5d"},
+    {file = "pydantic_core-2.18.4-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:938cb21650855054dc54dfd9120a851c974f95450f00683399006aa6e8abb057"},
+    {file = "pydantic_core-2.18.4-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:44cd83ab6a51da80fb5adbd9560e26018e2ac7826f9626bc06ca3dc074cd198b"},
+    {file = "pydantic_core-2.18.4-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:972658f4a72d02b8abfa2581d92d59f59897d2e9f7e708fdabe922f9087773af"},
+    {file = "pydantic_core-2.18.4-cp38-none-win32.whl", hash = "sha256:1d886dc848e60cb7666f771e406acae54ab279b9f1e4143babc9c2258213daa2"},
+    {file = "pydantic_core-2.18.4-cp38-none-win_amd64.whl", hash = "sha256:bb4462bd43c2460774914b8525f79b00f8f407c945d50881568f294c1d9b4443"},
+    {file = "pydantic_core-2.18.4-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:44a688331d4a4e2129140a8118479443bd6f1905231138971372fcde37e43528"},
+    {file = "pydantic_core-2.18.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a2fdd81edd64342c85ac7cf2753ccae0b79bf2dfa063785503cb85a7d3593223"},
+    {file = "pydantic_core-2.18.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:86110d7e1907ab36691f80b33eb2da87d780f4739ae773e5fc83fb272f88825f"},
+    {file = "pydantic_core-2.18.4-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:46387e38bd641b3ee5ce247563b60c5ca098da9c56c75c157a05eaa0933ed154"},
+    {file = "pydantic_core-2.18.4-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:123c3cec203e3f5ac7b000bd82235f1a3eced8665b63d18be751f115588fea30"},
+    {file = "pydantic_core-2.18.4-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:dc1803ac5c32ec324c5261c7209e8f8ce88e83254c4e1aebdc8b0a39f9ddb443"},
+    {file = "pydantic_core-2.18.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:53db086f9f6ab2b4061958d9c276d1dbe3690e8dd727d6abf2321d6cce37fa94"},
+    {file = "pydantic_core-2.18.4-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:abc267fa9837245cc28ea6929f19fa335f3dc330a35d2e45509b6566dc18be23"},
+    {file = "pydantic_core-2.18.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:a0d829524aaefdebccb869eed855e2d04c21d2d7479b6cada7ace5448416597b"},
+    {file = "pydantic_core-2.18.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:509daade3b8649f80d4e5ff21aa5673e4ebe58590b25fe42fac5f0f52c6f034a"},
+    {file = "pydantic_core-2.18.4-cp39-none-win32.whl", hash = "sha256:ca26a1e73c48cfc54c4a76ff78df3727b9d9f4ccc8dbee4ae3f73306a591676d"},
+    {file = "pydantic_core-2.18.4-cp39-none-win_amd64.whl", hash = "sha256:c67598100338d5d985db1b3d21f3619ef392e185e71b8d52bceacc4a7771ea7e"},
+    {file = "pydantic_core-2.18.4-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:574d92eac874f7f4db0ca653514d823a0d22e2354359d0759e3f6a406db5d55d"},
+    {file = "pydantic_core-2.18.4-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:1f4d26ceb5eb9eed4af91bebeae4b06c3fb28966ca3a8fb765208cf6b51102ab"},
+    {file = "pydantic_core-2.18.4-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:77450e6d20016ec41f43ca4a6c63e9fdde03f0ae3fe90e7c27bdbeaece8b1ed4"},
+    {file = "pydantic_core-2.18.4-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d323a01da91851a4f17bf592faf46149c9169d68430b3146dcba2bb5e5719abc"},
+    {file = "pydantic_core-2.18.4-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:43d447dd2ae072a0065389092a231283f62d960030ecd27565672bd40746c507"},
+    {file = "pydantic_core-2.18.4-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:578e24f761f3b425834f297b9935e1ce2e30f51400964ce4801002435a1b41ef"},
+    {file = "pydantic_core-2.18.4-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:81b5efb2f126454586d0f40c4d834010979cb80785173d1586df845a632e4e6d"},
+    {file = "pydantic_core-2.18.4-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:ab86ce7c8f9bea87b9d12c7f0af71102acbf5ecbc66c17796cff45dae54ef9a5"},
+    {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:90afc12421df2b1b4dcc975f814e21bc1754640d502a2fbcc6d41e77af5ec312"},
+    {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:51991a89639a912c17bef4b45c87bd83593aee0437d8102556af4885811d59f5"},
+    {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:293afe532740370aba8c060882f7d26cfd00c94cae32fd2e212a3a6e3b7bc15e"},
+    {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b48ece5bde2e768197a2d0f6e925f9d7e3e826f0ad2271120f8144a9db18d5c8"},
+    {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:eae237477a873ab46e8dd748e515c72c0c804fb380fbe6c85533c7de51f23a8f"},
+    {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:834b5230b5dfc0c1ec37b2fda433b271cbbc0e507560b5d1588e2cc1148cf1ce"},
+    {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:e858ac0a25074ba4bce653f9b5d0a85b7456eaddadc0ce82d3878c22489fa4ee"},
+    {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:2fd41f6eff4c20778d717af1cc50eca52f5afe7805ee530a4fbd0bae284f16e9"},
+    {file = "pydantic_core-2.18.4.tar.gz", hash = "sha256:ec3beeada09ff865c344ff3bc2f427f5e6c26401cc6113d77e372c3fdac73864"},
+]
+
+[package.dependencies]
+typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
+
+[[package]]
+name = "pydantic-settings"
+version = "2.3.3"
+description = "Settings management using Pydantic"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "pydantic_settings-2.3.3-py3-none-any.whl", hash = "sha256:e4ed62ad851670975ec11285141db888fd24947f9440bd4380d7d8788d4965de"},
+    {file = "pydantic_settings-2.3.3.tar.gz", hash = "sha256:87fda838b64b5039b970cd47c3e8a1ee460ce136278ff672980af21516f6e6ce"},
+]
+
+[package.dependencies]
+pydantic = ">=2.7.0"
+python-dotenv = ">=0.21.0"
+
+[package.extras]
+toml = ["tomli (>=2.0.1)"]
+yaml = ["pyyaml (>=6.0.1)"]
+
+[[package]]
+name = "pygments"
+version = "2.18.0"
+description = "Pygments is a syntax highlighting package written in Python."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "pygments-2.18.0-py3-none-any.whl", hash = "sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a"},
+    {file = "pygments-2.18.0.tar.gz", hash = "sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199"},
+]
+
+[package.extras]
+windows-terminal = ["colorama (>=0.4.6)"]
+
+[[package]]
+name = "pypdf"
+version = "4.2.0"
+description = "A pure-python PDF library capable of splitting, merging, cropping, and transforming PDF files"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "pypdf-4.2.0-py3-none-any.whl", hash = "sha256:dc035581664e0ad717e3492acebc1a5fc23dba759e788e3d4a9fc9b1a32e72c1"},
+    {file = "pypdf-4.2.0.tar.gz", hash = "sha256:fe63f3f7d1dcda1c9374421a94c1bba6c6f8c4a62173a59b64ffd52058f846b1"},
+]
+
+[package.dependencies]
+typing_extensions = {version = ">=4.0", markers = "python_version < \"3.11\""}
+
+[package.extras]
+crypto = ["PyCryptodome", "cryptography"]
+dev = ["black", "flit", "pip-tools", "pre-commit (<2.18.0)", "pytest-cov", "pytest-socket", "pytest-timeout", "pytest-xdist", "wheel"]
+docs = ["myst_parser", "sphinx", "sphinx_rtd_theme"]
+full = ["Pillow (>=8.0.0)", "PyCryptodome", "cryptography"]
+image = ["Pillow (>=8.0.0)"]
+
+[[package]]
+name = "pyperclip"
+version = "1.9.0"
+description = "A cross-platform clipboard module for Python. (Only handles plain text for now.)"
+optional = false
+python-versions = "*"
+files = [
+    {file = "pyperclip-1.9.0.tar.gz", hash = "sha256:b7de0142ddc81bfc5c7507eea19da920b92252b548b96186caf94a5e2527d310"},
+]
+
+[[package]]
+name = "python-dateutil"
+version = "2.9.0.post0"
+description = "Extensions to the standard Python datetime module"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+files = [
+    {file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"},
+    {file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"},
+]
+
+[package.dependencies]
+six = ">=1.5"
+
+[[package]]
+name = "python-docx"
+version = "1.1.2"
+description = "Create, read, and update Microsoft Word .docx files."
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "python_docx-1.1.2-py3-none-any.whl", hash = "sha256:08c20d6058916fb19853fcf080f7f42b6270d89eac9fa5f8c15f691c0017fabe"},
+    {file = "python_docx-1.1.2.tar.gz", hash = "sha256:0cf1f22e95b9002addca7948e16f2cd7acdfd498047f1941ca5d293db7762efd"},
+]
+
+[package.dependencies]
+lxml = ">=3.1.0"
+typing-extensions = ">=4.9.0"
+
+[[package]]
+name = "python-dotenv"
+version = "1.0.1"
+description = "Read key-value pairs from a .env file and set them as environment variables"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "python-dotenv-1.0.1.tar.gz", hash = "sha256:e324ee90a023d808f1959c46bcbc04446a10ced277783dc6ee09987c37ec10ca"},
+    {file = "python_dotenv-1.0.1-py3-none-any.whl", hash = "sha256:f7b63ef50f1b690dddf550d03497b66d609393b40b564ed0d674909a68ebf16a"},
+]
+
+[package.extras]
+cli = ["click (>=5.0)"]
+
+[[package]]
+name = "python-jose"
+version = "3.3.0"
+description = "JOSE implementation in Python"
+optional = false
+python-versions = "*"
+files = [
+    {file = "python-jose-3.3.0.tar.gz", hash = "sha256:55779b5e6ad599c6336191246e95eb2293a9ddebd555f796a65f838f07e5d78a"},
+    {file = "python_jose-3.3.0-py2.py3-none-any.whl", hash = "sha256:9b1376b023f8b298536eedd47ae1089bcdb848f1535ab30555cd92002d78923a"},
+]
+
+[package.dependencies]
+ecdsa = "!=0.15"
+pyasn1 = "*"
+rsa = "*"
+
+[package.extras]
+cryptography = ["cryptography (>=3.4.0)"]
+pycrypto = ["pyasn1", "pycrypto (>=2.6.0,<2.7.0)"]
+pycryptodome = ["pyasn1", "pycryptodome (>=3.3.1,<4.0.0)"]
+
+[[package]]
+name = "python-multipart"
+version = "0.0.7"
+description = "A streaming multipart parser for Python"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "python_multipart-0.0.7-py3-none-any.whl", hash = "sha256:b1fef9a53b74c795e2347daac8c54b252d9e0df9c619712691c1cc8021bd3c49"},
+    {file = "python_multipart-0.0.7.tar.gz", hash = "sha256:288a6c39b06596c1b988bb6794c6fbc80e6c369e35e5062637df256bee0c9af9"},
+]
+
+[package.extras]
+dev = ["atomicwrites (==1.2.1)", "attrs (==19.2.0)", "coverage (==6.5.0)", "hatch", "invoke (==2.2.0)", "more-itertools (==4.3.0)", "pbr (==4.3.0)", "pluggy (==1.0.0)", "py (==1.11.0)", "pytest (==7.2.0)", "pytest-cov (==4.0.0)", "pytest-timeout (==2.1.0)", "pyyaml (==5.1)"]
+
+[[package]]
+name = "pytz"
+version = "2024.1"
+description = "World timezone definitions, modern and historical"
+optional = false
+python-versions = "*"
+files = [
+    {file = "pytz-2024.1-py2.py3-none-any.whl", hash = "sha256:328171f4e3623139da4983451950b28e95ac706e13f3f2630a879749e7a8b319"},
+    {file = "pytz-2024.1.tar.gz", hash = "sha256:2a29735ea9c18baf14b448846bde5a48030ed267578472d8955cd0e7443a9812"},
+]
+
+[[package]]
+name = "pyyaml"
+version = "6.0.1"
+description = "YAML parser and emitter for Python"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "PyYAML-6.0.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d858aa552c999bc8a8d57426ed01e40bef403cd8ccdd0fc5f6f04a00414cac2a"},
+    {file = "PyYAML-6.0.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:fd66fc5d0da6d9815ba2cebeb4205f95818ff4b79c3ebe268e75d961704af52f"},
+    {file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:69b023b2b4daa7548bcfbd4aa3da05b3a74b772db9e23b982788168117739938"},
+    {file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:81e0b275a9ecc9c0c0c07b4b90ba548307583c125f54d5b6946cfee6360c733d"},
+    {file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba336e390cd8e4d1739f42dfe9bb83a3cc2e80f567d8805e11b46f4a943f5515"},
+    {file = "PyYAML-6.0.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:326c013efe8048858a6d312ddd31d56e468118ad4cdeda36c719bf5bb6192290"},
+    {file = "PyYAML-6.0.1-cp310-cp310-win32.whl", hash = "sha256:bd4af7373a854424dabd882decdc5579653d7868b8fb26dc7d0e99f823aa5924"},
+    {file = "PyYAML-6.0.1-cp310-cp310-win_amd64.whl", hash = "sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d"},
+    {file = "PyYAML-6.0.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6965a7bc3cf88e5a1c3bd2e0b5c22f8d677dc88a455344035f03399034eb3007"},
+    {file = "PyYAML-6.0.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:f003ed9ad21d6a4713f0a9b5a7a0a79e08dd0f221aff4525a2be4c346ee60aab"},
+    {file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:42f8152b8dbc4fe7d96729ec2b99c7097d656dc1213a3229ca5383f973a5ed6d"},
+    {file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:062582fca9fabdd2c8b54a3ef1c978d786e0f6b3a1510e0ac93ef59e0ddae2bc"},
+    {file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d2b04aac4d386b172d5b9692e2d2da8de7bfb6c387fa4f801fbf6fb2e6ba4673"},
+    {file = "PyYAML-6.0.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:e7d73685e87afe9f3b36c799222440d6cf362062f78be1013661b00c5c6f678b"},
+    {file = "PyYAML-6.0.1-cp311-cp311-win32.whl", hash = "sha256:1635fd110e8d85d55237ab316b5b011de701ea0f29d07611174a1b42f1444741"},
+    {file = "PyYAML-6.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34"},
+    {file = "PyYAML-6.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28"},
+    {file = "PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9"},
+    {file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a08c6f0fe150303c1c6b71ebcd7213c2858041a7e01975da3a99aed1e7a378ef"},
+    {file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0"},
+    {file = "PyYAML-6.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4"},
+    {file = "PyYAML-6.0.1-cp312-cp312-win32.whl", hash = "sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54"},
+    {file = "PyYAML-6.0.1-cp312-cp312-win_amd64.whl", hash = "sha256:0d3304d8c0adc42be59c5f8a4d9e3d7379e6955ad754aa9d6ab7a398b59dd1df"},
+    {file = "PyYAML-6.0.1-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:50550eb667afee136e9a77d6dc71ae76a44df8b3e51e41b77f6de2932bfe0f47"},
+    {file = "PyYAML-6.0.1-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1fe35611261b29bd1de0070f0b2f47cb6ff71fa6595c077e42bd0c419fa27b98"},
+    {file = "PyYAML-6.0.1-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:704219a11b772aea0d8ecd7058d0082713c3562b4e271b849ad7dc4a5c90c13c"},
+    {file = "PyYAML-6.0.1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:afd7e57eddb1a54f0f1a974bc4391af8bcce0b444685d936840f125cf046d5bd"},
+    {file = "PyYAML-6.0.1-cp36-cp36m-win32.whl", hash = "sha256:fca0e3a251908a499833aa292323f32437106001d436eca0e6e7833256674585"},
+    {file = "PyYAML-6.0.1-cp36-cp36m-win_amd64.whl", hash = "sha256:f22ac1c3cac4dbc50079e965eba2c1058622631e526bd9afd45fedd49ba781fa"},
+    {file = "PyYAML-6.0.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:b1275ad35a5d18c62a7220633c913e1b42d44b46ee12554e5fd39c70a243d6a3"},
+    {file = "PyYAML-6.0.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:18aeb1bf9a78867dc38b259769503436b7c72f7a1f1f4c93ff9a17de54319b27"},
+    {file = "PyYAML-6.0.1-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:596106435fa6ad000c2991a98fa58eeb8656ef2325d7e158344fb33864ed87e3"},
+    {file = "PyYAML-6.0.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:baa90d3f661d43131ca170712d903e6295d1f7a0f595074f151c0aed377c9b9c"},
+    {file = "PyYAML-6.0.1-cp37-cp37m-win32.whl", hash = "sha256:9046c58c4395dff28dd494285c82ba00b546adfc7ef001486fbf0324bc174fba"},
+    {file = "PyYAML-6.0.1-cp37-cp37m-win_amd64.whl", hash = "sha256:4fb147e7a67ef577a588a0e2c17b6db51dda102c71de36f8549b6816a96e1867"},
+    {file = "PyYAML-6.0.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:1d4c7e777c441b20e32f52bd377e0c409713e8bb1386e1099c2415f26e479595"},
+    {file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a0cd17c15d3bb3fa06978b4e8958dcdc6e0174ccea823003a106c7d4d7899ac5"},
+    {file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:28c119d996beec18c05208a8bd78cbe4007878c6dd15091efb73a30e90539696"},
+    {file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7e07cbde391ba96ab58e532ff4803f79c4129397514e1413a7dc761ccd755735"},
+    {file = "PyYAML-6.0.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:49a183be227561de579b4a36efbb21b3eab9651dd81b1858589f796549873dd6"},
+    {file = "PyYAML-6.0.1-cp38-cp38-win32.whl", hash = "sha256:184c5108a2aca3c5b3d3bf9395d50893a7ab82a38004c8f61c258d4428e80206"},
+    {file = "PyYAML-6.0.1-cp38-cp38-win_amd64.whl", hash = "sha256:1e2722cc9fbb45d9b87631ac70924c11d3a401b2d7f410cc0e3bbf249f2dca62"},
+    {file = "PyYAML-6.0.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:9eb6caa9a297fc2c2fb8862bc5370d0303ddba53ba97e71f08023b6cd73d16a8"},
+    {file = "PyYAML-6.0.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:c8098ddcc2a85b61647b2590f825f3db38891662cfc2fc776415143f599bb859"},
+    {file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5773183b6446b2c99bb77e77595dd486303b4faab2b086e7b17bc6bef28865f6"},
+    {file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b786eecbdf8499b9ca1d697215862083bd6d2a99965554781d0d8d1ad31e13a0"},
+    {file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bc1bf2925a1ecd43da378f4db9e4f799775d6367bdb94671027b73b393a7c42c"},
+    {file = "PyYAML-6.0.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5"},
+    {file = "PyYAML-6.0.1-cp39-cp39-win32.whl", hash = "sha256:faca3bdcf85b2fc05d06ff3fbc1f83e1391b3e724afa3feba7d13eeab355484c"},
+    {file = "PyYAML-6.0.1-cp39-cp39-win_amd64.whl", hash = "sha256:510c9deebc5c0225e8c96813043e62b680ba2f9c50a08d3724c7f28a747d1486"},
+    {file = "PyYAML-6.0.1.tar.gz", hash = "sha256:bfdf460b1736c775f2ba9f6a92bca30bc2095067b8a9d77876d1fad6cc3b4a43"},
+]
+
+[[package]]
+name = "requests"
+version = "2.32.3"
+description = "Python HTTP for Humans."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "requests-2.32.3-py3-none-any.whl", hash = "sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6"},
+    {file = "requests-2.32.3.tar.gz", hash = "sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760"},
+]
+
+[package.dependencies]
+certifi = ">=2017.4.17"
+charset-normalizer = ">=2,<4"
+idna = ">=2.5,<4"
+urllib3 = ">=1.21.1,<3"
+
+[package.extras]
+socks = ["PySocks (>=1.5.6,!=1.5.7)"]
+use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
+
+[[package]]
+name = "rich"
+version = "13.7.1"
+description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
+optional = false
+python-versions = ">=3.7.0"
+files = [
+    {file = "rich-13.7.1-py3-none-any.whl", hash = "sha256:4edbae314f59eb482f54e9e30bf00d33350aaa94f4bfcd4e9e3110e64d0d7222"},
+    {file = "rich-13.7.1.tar.gz", hash = "sha256:9be308cb1fe2f1f57d67ce99e95af38a1e2bc71ad9813b0e247cf7ffbcc3a432"},
+]
+
+[package.dependencies]
+markdown-it-py = ">=2.2.0"
+pygments = ">=2.13.0,<3.0.0"
+
+[package.extras]
+jupyter = ["ipywidgets (>=7.5.1,<9)"]
+
+[[package]]
+name = "rsa"
+version = "4.9"
+description = "Pure-Python RSA implementation"
+optional = false
+python-versions = ">=3.6,<4"
+files = [
+    {file = "rsa-4.9-py3-none-any.whl", hash = "sha256:90260d9058e514786967344d0ef75fa8727eed8a7d2e43ce9f4bcf1b536174f7"},
+    {file = "rsa-4.9.tar.gz", hash = "sha256:e38464a49c6c85d7f1351b0126661487a7e0a14a50f1675ec50eb34d4f20ef21"},
+]
+
+[package.dependencies]
+pyasn1 = ">=0.1.3"
+
+[[package]]
+name = "sentry-sdk"
+version = "2.6.0"
+description = "Python client for Sentry (https://sentry.io)"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "sentry_sdk-2.6.0-py2.py3-none-any.whl", hash = "sha256:422b91cb49378b97e7e8d0e8d5a1069df23689d45262b86f54988a7db264e874"},
+    {file = "sentry_sdk-2.6.0.tar.gz", hash = "sha256:65cc07e9c6995c5e316109f138570b32da3bd7ff8d0d0ee4aaf2628c3dd8127d"},
+]
+
+[package.dependencies]
+certifi = "*"
+fastapi = {version = ">=0.79.0", optional = true, markers = "extra == \"fastapi\""}
+loguru = {version = ">=0.5", optional = true, markers = "extra == \"loguru\""}
+urllib3 = ">=1.26.11"
+
+[package.extras]
+aiohttp = ["aiohttp (>=3.5)"]
+anthropic = ["anthropic (>=0.16)"]
+arq = ["arq (>=0.23)"]
+asyncpg = ["asyncpg (>=0.23)"]
+beam = ["apache-beam (>=2.12)"]
+bottle = ["bottle (>=0.12.13)"]
+celery = ["celery (>=3)"]
+celery-redbeat = ["celery-redbeat (>=2)"]
+chalice = ["chalice (>=1.16.0)"]
+clickhouse-driver = ["clickhouse-driver (>=0.2.0)"]
+django = ["django (>=1.8)"]
+falcon = ["falcon (>=1.4)"]
+fastapi = ["fastapi (>=0.79.0)"]
+flask = ["blinker (>=1.1)", "flask (>=0.11)", "markupsafe"]
+grpcio = ["grpcio (>=1.21.1)", "protobuf (>=3.8.0)"]
+httpx = ["httpx (>=0.16.0)"]
+huey = ["huey (>=2)"]
+huggingface-hub = ["huggingface-hub (>=0.22)"]
+langchain = ["langchain (>=0.0.210)"]
+loguru = ["loguru (>=0.5)"]
+openai = ["openai (>=1.0.0)", "tiktoken (>=0.3.0)"]
+opentelemetry = ["opentelemetry-distro (>=0.35b0)"]
+opentelemetry-experimental = ["opentelemetry-distro (>=0.40b0,<1.0)", "opentelemetry-instrumentation-aiohttp-client (>=0.40b0,<1.0)", "opentelemetry-instrumentation-django (>=0.40b0,<1.0)", "opentelemetry-instrumentation-fastapi (>=0.40b0,<1.0)", "opentelemetry-instrumentation-flask (>=0.40b0,<1.0)", "opentelemetry-instrumentation-requests (>=0.40b0,<1.0)", "opentelemetry-instrumentation-sqlite3 (>=0.40b0,<1.0)", "opentelemetry-instrumentation-urllib (>=0.40b0,<1.0)"]
+pure-eval = ["asttokens", "executing", "pure-eval"]
+pymongo = ["pymongo (>=3.1)"]
+pyspark = ["pyspark (>=2.4.4)"]
+quart = ["blinker (>=1.1)", "quart (>=0.16.1)"]
+rq = ["rq (>=0.6)"]
+sanic = ["sanic (>=0.8)"]
+sqlalchemy = ["sqlalchemy (>=1.2)"]
+starlette = ["starlette (>=0.19.1)"]
+starlite = ["starlite (>=1.48)"]
+tornado = ["tornado (>=5)"]
+
+[[package]]
+name = "shellingham"
+version = "1.5.4"
+description = "Tool to Detect Surrounding Shell"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "shellingham-1.5.4-py2.py3-none-any.whl", hash = "sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686"},
+    {file = "shellingham-1.5.4.tar.gz", hash = "sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de"},
+]
+
+[[package]]
+name = "six"
+version = "1.16.0"
+description = "Python 2 and 3 compatibility utilities"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
+files = [
+    {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
+    {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
+]
+
+[[package]]
+name = "sniffio"
+version = "1.3.1"
+description = "Sniff out which async library your code is running under"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"},
+    {file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"},
+]
+
+[[package]]
+name = "sqlalchemy"
+version = "2.0.31"
+description = "Database Abstraction Library"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "SQLAlchemy-2.0.31-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f2a213c1b699d3f5768a7272de720387ae0122f1becf0901ed6eaa1abd1baf6c"},
+    {file = "SQLAlchemy-2.0.31-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9fea3d0884e82d1e33226935dac990b967bef21315cbcc894605db3441347443"},
+    {file = "SQLAlchemy-2.0.31-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f3ad7f221d8a69d32d197e5968d798217a4feebe30144986af71ada8c548e9fa"},
+    {file = "SQLAlchemy-2.0.31-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9f2bee229715b6366f86a95d497c347c22ddffa2c7c96143b59a2aa5cc9eebbc"},
+    {file = "SQLAlchemy-2.0.31-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:cd5b94d4819c0c89280b7c6109c7b788a576084bf0a480ae17c227b0bc41e109"},
+    {file = "SQLAlchemy-2.0.31-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:750900a471d39a7eeba57580b11983030517a1f512c2cb287d5ad0fcf3aebd58"},
+    {file = "SQLAlchemy-2.0.31-cp310-cp310-win32.whl", hash = "sha256:7bd112be780928c7f493c1a192cd8c5fc2a2a7b52b790bc5a84203fb4381c6be"},
+    {file = "SQLAlchemy-2.0.31-cp310-cp310-win_amd64.whl", hash = "sha256:5a48ac4d359f058474fadc2115f78a5cdac9988d4f99eae44917f36aa1476327"},
+    {file = "SQLAlchemy-2.0.31-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f68470edd70c3ac3b6cd5c2a22a8daf18415203ca1b036aaeb9b0fb6f54e8298"},
+    {file = "SQLAlchemy-2.0.31-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:2e2c38c2a4c5c634fe6c3c58a789712719fa1bf9b9d6ff5ebfce9a9e5b89c1ca"},
+    {file = "SQLAlchemy-2.0.31-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bd15026f77420eb2b324dcb93551ad9c5f22fab2c150c286ef1dc1160f110203"},
+    {file = "SQLAlchemy-2.0.31-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2196208432deebdfe3b22185d46b08f00ac9d7b01284e168c212919891289396"},
+    {file = "SQLAlchemy-2.0.31-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:352b2770097f41bff6029b280c0e03b217c2dcaddc40726f8f53ed58d8a85da4"},
+    {file = "SQLAlchemy-2.0.31-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:56d51ae825d20d604583f82c9527d285e9e6d14f9a5516463d9705dab20c3740"},
+    {file = "SQLAlchemy-2.0.31-cp311-cp311-win32.whl", hash = "sha256:6e2622844551945db81c26a02f27d94145b561f9d4b0c39ce7bfd2fda5776dac"},
+    {file = "SQLAlchemy-2.0.31-cp311-cp311-win_amd64.whl", hash = "sha256:ccaf1b0c90435b6e430f5dd30a5aede4764942a695552eb3a4ab74ed63c5b8d3"},
+    {file = "SQLAlchemy-2.0.31-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:3b74570d99126992d4b0f91fb87c586a574a5872651185de8297c6f90055ae42"},
+    {file = "SQLAlchemy-2.0.31-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6f77c4f042ad493cb8595e2f503c7a4fe44cd7bd59c7582fd6d78d7e7b8ec52c"},
+    {file = "SQLAlchemy-2.0.31-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cd1591329333daf94467e699e11015d9c944f44c94d2091f4ac493ced0119449"},
+    {file = "SQLAlchemy-2.0.31-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:74afabeeff415e35525bf7a4ecdab015f00e06456166a2eba7590e49f8db940e"},
+    {file = "SQLAlchemy-2.0.31-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:b9c01990d9015df2c6f818aa8f4297d42ee71c9502026bb074e713d496e26b67"},
+    {file = "SQLAlchemy-2.0.31-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:66f63278db425838b3c2b1c596654b31939427016ba030e951b292e32b99553e"},
+    {file = "SQLAlchemy-2.0.31-cp312-cp312-win32.whl", hash = "sha256:0b0f658414ee4e4b8cbcd4a9bb0fd743c5eeb81fc858ca517217a8013d282c96"},
+    {file = "SQLAlchemy-2.0.31-cp312-cp312-win_amd64.whl", hash = "sha256:fa4b1af3e619b5b0b435e333f3967612db06351217c58bfb50cee5f003db2a5a"},
+    {file = "SQLAlchemy-2.0.31-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:f43e93057cf52a227eda401251c72b6fbe4756f35fa6bfebb5d73b86881e59b0"},
+    {file = "SQLAlchemy-2.0.31-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d337bf94052856d1b330d5fcad44582a30c532a2463776e1651bd3294ee7e58b"},
+    {file = "SQLAlchemy-2.0.31-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c06fb43a51ccdff3b4006aafee9fcf15f63f23c580675f7734245ceb6b6a9e05"},
+    {file = "SQLAlchemy-2.0.31-cp37-cp37m-musllinux_1_2_aarch64.whl", hash = "sha256:b6e22630e89f0e8c12332b2b4c282cb01cf4da0d26795b7eae16702a608e7ca1"},
+    {file = "SQLAlchemy-2.0.31-cp37-cp37m-musllinux_1_2_x86_64.whl", hash = "sha256:79a40771363c5e9f3a77f0e28b3302801db08040928146e6808b5b7a40749c88"},
+    {file = "SQLAlchemy-2.0.31-cp37-cp37m-win32.whl", hash = "sha256:501ff052229cb79dd4c49c402f6cb03b5a40ae4771efc8bb2bfac9f6c3d3508f"},
+    {file = "SQLAlchemy-2.0.31-cp37-cp37m-win_amd64.whl", hash = "sha256:597fec37c382a5442ffd471f66ce12d07d91b281fd474289356b1a0041bdf31d"},
+    {file = "SQLAlchemy-2.0.31-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:dc6d69f8829712a4fd799d2ac8d79bdeff651c2301b081fd5d3fe697bd5b4ab9"},
+    {file = "SQLAlchemy-2.0.31-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:23b9fbb2f5dd9e630db70fbe47d963c7779e9c81830869bd7d137c2dc1ad05fb"},
+    {file = "SQLAlchemy-2.0.31-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2a21c97efcbb9f255d5c12a96ae14da873233597dfd00a3a0c4ce5b3e5e79704"},
+    {file = "SQLAlchemy-2.0.31-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:26a6a9837589c42b16693cf7bf836f5d42218f44d198f9343dd71d3164ceeeac"},
+    {file = "SQLAlchemy-2.0.31-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:dc251477eae03c20fae8db9c1c23ea2ebc47331bcd73927cdcaecd02af98d3c3"},
+    {file = "SQLAlchemy-2.0.31-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:2fd17e3bb8058359fa61248c52c7b09a97cf3c820e54207a50af529876451808"},
+    {file = "SQLAlchemy-2.0.31-cp38-cp38-win32.whl", hash = "sha256:c76c81c52e1e08f12f4b6a07af2b96b9b15ea67ccdd40ae17019f1c373faa227"},
+    {file = "SQLAlchemy-2.0.31-cp38-cp38-win_amd64.whl", hash = "sha256:4b600e9a212ed59355813becbcf282cfda5c93678e15c25a0ef896b354423238"},
+    {file = "SQLAlchemy-2.0.31-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:5b6cf796d9fcc9b37011d3f9936189b3c8074a02a4ed0c0fbbc126772c31a6d4"},
+    {file = "SQLAlchemy-2.0.31-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:78fe11dbe37d92667c2c6e74379f75746dc947ee505555a0197cfba9a6d4f1a4"},
+    {file = "SQLAlchemy-2.0.31-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2fc47dc6185a83c8100b37acda27658fe4dbd33b7d5e7324111f6521008ab4fe"},
+    {file = "SQLAlchemy-2.0.31-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8a41514c1a779e2aa9a19f67aaadeb5cbddf0b2b508843fcd7bafdf4c6864005"},
+    {file = "SQLAlchemy-2.0.31-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:afb6dde6c11ea4525318e279cd93c8734b795ac8bb5dda0eedd9ebaca7fa23f1"},
+    {file = "SQLAlchemy-2.0.31-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:3f9faef422cfbb8fd53716cd14ba95e2ef655400235c3dfad1b5f467ba179c8c"},
+    {file = "SQLAlchemy-2.0.31-cp39-cp39-win32.whl", hash = "sha256:fc6b14e8602f59c6ba893980bea96571dd0ed83d8ebb9c4479d9ed5425d562e9"},
+    {file = "SQLAlchemy-2.0.31-cp39-cp39-win_amd64.whl", hash = "sha256:3cb8a66b167b033ec72c3812ffc8441d4e9f5f78f5e31e54dcd4c90a4ca5bebc"},
+    {file = "SQLAlchemy-2.0.31-py3-none-any.whl", hash = "sha256:69f3e3c08867a8e4856e92d7afb618b95cdee18e0bc1647b77599722c9a28911"},
+    {file = "SQLAlchemy-2.0.31.tar.gz", hash = "sha256:b607489dd4a54de56984a0c7656247504bd5523d9d0ba799aef59d4add009484"},
+]
+
+[package.dependencies]
+greenlet = {version = "!=0.4.17", markers = "python_version < \"3.13\" and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\")"}
+typing-extensions = ">=4.6.0"
+
+[package.extras]
+aiomysql = ["aiomysql (>=0.2.0)", "greenlet (!=0.4.17)"]
+aioodbc = ["aioodbc", "greenlet (!=0.4.17)"]
+aiosqlite = ["aiosqlite", "greenlet (!=0.4.17)", "typing_extensions (!=3.10.0.1)"]
+asyncio = ["greenlet (!=0.4.17)"]
+asyncmy = ["asyncmy (>=0.2.3,!=0.2.4,!=0.2.6)", "greenlet (!=0.4.17)"]
+mariadb-connector = ["mariadb (>=1.0.1,!=1.1.2,!=1.1.5)"]
+mssql = ["pyodbc"]
+mssql-pymssql = ["pymssql"]
+mssql-pyodbc = ["pyodbc"]
+mypy = ["mypy (>=0.910)"]
+mysql = ["mysqlclient (>=1.4.0)"]
+mysql-connector = ["mysql-connector-python"]
+oracle = ["cx_oracle (>=8)"]
+oracle-oracledb = ["oracledb (>=1.0.1)"]
+postgresql = ["psycopg2 (>=2.7)"]
+postgresql-asyncpg = ["asyncpg", "greenlet (!=0.4.17)"]
+postgresql-pg8000 = ["pg8000 (>=1.29.1)"]
+postgresql-psycopg = ["psycopg (>=3.0.7)"]
+postgresql-psycopg2binary = ["psycopg2-binary"]
+postgresql-psycopg2cffi = ["psycopg2cffi"]
+postgresql-psycopgbinary = ["psycopg[binary] (>=3.0.7)"]
+pymysql = ["pymysql"]
+sqlcipher = ["sqlcipher3_binary"]
+
+[[package]]
+name = "sqlmodel"
+version = "0.0.18"
+description = "SQLModel, SQL databases in Python, designed for simplicity, compatibility, and robustness."
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "sqlmodel-0.0.18-py3-none-any.whl", hash = "sha256:d70fdf8fe595e30a918660cf4537b9c5fc2fffdbfcba851a0135de73c3ebcbb7"},
+    {file = "sqlmodel-0.0.18.tar.gz", hash = "sha256:2e520efe03810ef2c268a1004cfc5ef8f8a936312232f38d6c8e62c11af2cac3"},
+]
+
+[package.dependencies]
+pydantic = ">=1.10.13,<3.0.0"
+SQLAlchemy = ">=2.0.0,<2.1.0"
+
+[[package]]
+name = "starlette"
+version = "0.37.2"
+description = "The little ASGI library that shines."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "starlette-0.37.2-py3-none-any.whl", hash = "sha256:6fe59f29268538e5d0d182f2791a479a0c64638e6935d1c6989e63fb2699c6ee"},
+    {file = "starlette-0.37.2.tar.gz", hash = "sha256:9af890290133b79fc3db55474ade20f6220a364a0402e0b556e7cd5e1e093823"},
+]
+
+[package.dependencies]
+anyio = ">=3.4.0,<5"
+
+[package.extras]
+full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.7)", "pyyaml"]
+
+[[package]]
+name = "tenacity"
+version = "8.4.1"
+description = "Retry code until it succeeds"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "tenacity-8.4.1-py3-none-any.whl", hash = "sha256:28522e692eda3e1b8f5e99c51464efcc0b9fc86933da92415168bc1c4e2308fa"},
+    {file = "tenacity-8.4.1.tar.gz", hash = "sha256:54b1412b878ddf7e1f1577cd49527bad8cdef32421bd599beac0c6c3f10582fd"},
+]
+
+[package.extras]
+doc = ["reno", "sphinx"]
+test = ["pytest", "tornado (>=4.5)", "typeguard"]
+
+[[package]]
+name = "typer"
+version = "0.12.3"
+description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "typer-0.12.3-py3-none-any.whl", hash = "sha256:070d7ca53f785acbccba8e7d28b08dcd88f79f1fbda035ade0aecec71ca5c914"},
+    {file = "typer-0.12.3.tar.gz", hash = "sha256:49e73131481d804288ef62598d97a1ceef3058905aa536a1134f90891ba35482"},
+]
+
+[package.dependencies]
+click = ">=8.0.0"
+rich = ">=10.11.0"
+shellingham = ">=1.3.0"
+typing-extensions = ">=3.7.4.3"
+
+[[package]]
+name = "types-requests"
+version = "2.32.0.20240622"
+description = "Typing stubs for requests"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "types-requests-2.32.0.20240622.tar.gz", hash = "sha256:ed5e8a412fcc39159d6319385c009d642845f250c63902718f605cd90faade31"},
+    {file = "types_requests-2.32.0.20240622-py3-none-any.whl", hash = "sha256:97bac6b54b5bd4cf91d407e62f0932a74821bc2211f22116d9ee1dd643826caf"},
+]
+
+[package.dependencies]
+urllib3 = ">=2"
+
+[[package]]
+name = "typing-extensions"
+version = "4.12.2"
+description = "Backported and Experimental Type Hints for Python 3.8+"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
+    {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
+]
+
+[[package]]
+name = "typing-inspect"
+version = "0.9.0"
+description = "Runtime inspection utilities for typing module."
+optional = false
+python-versions = "*"
+files = [
+    {file = "typing_inspect-0.9.0-py3-none-any.whl", hash = "sha256:9ee6fc59062311ef8547596ab6b955e1b8aa46242d854bfc78f4f6b0eff35f9f"},
+    {file = "typing_inspect-0.9.0.tar.gz", hash = "sha256:b23fc42ff6f6ef6954e4852c1fb512cdd18dbea03134f91f856a95ccc9461f78"},
+]
+
+[package.dependencies]
+mypy-extensions = ">=0.3.0"
+typing-extensions = ">=3.7.4"
+
+[[package]]
+name = "tzdata"
+version = "2024.1"
+description = "Provider of IANA time zone data"
+optional = false
+python-versions = ">=2"
+files = [
+    {file = "tzdata-2024.1-py2.py3-none-any.whl", hash = "sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252"},
+    {file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"},
+]
+
+[[package]]
+name = "ujson"
+version = "5.10.0"
+description = "Ultra fast JSON encoder and decoder for Python"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "ujson-5.10.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2601aa9ecdbee1118a1c2065323bda35e2c5a2cf0797ef4522d485f9d3ef65bd"},
+    {file = "ujson-5.10.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:348898dd702fc1c4f1051bc3aacbf894caa0927fe2c53e68679c073375f732cf"},
+    {file = "ujson-5.10.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:22cffecf73391e8abd65ef5f4e4dd523162a3399d5e84faa6aebbf9583df86d6"},
+    {file = "ujson-5.10.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:26b0e2d2366543c1bb4fbd457446f00b0187a2bddf93148ac2da07a53fe51569"},
+    {file = "ujson-5.10.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:caf270c6dba1be7a41125cd1e4fc7ba384bf564650beef0df2dd21a00b7f5770"},
+    {file = "ujson-5.10.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:a245d59f2ffe750446292b0094244df163c3dc96b3ce152a2c837a44e7cda9d1"},
+    {file = "ujson-5.10.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:94a87f6e151c5f483d7d54ceef83b45d3a9cca7a9cb453dbdbb3f5a6f64033f5"},
+    {file = "ujson-5.10.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:29b443c4c0a113bcbb792c88bea67b675c7ca3ca80c3474784e08bba01c18d51"},
+    {file = "ujson-5.10.0-cp310-cp310-win32.whl", hash = "sha256:c18610b9ccd2874950faf474692deee4223a994251bc0a083c114671b64e6518"},
+    {file = "ujson-5.10.0-cp310-cp310-win_amd64.whl", hash = "sha256:924f7318c31874d6bb44d9ee1900167ca32aa9b69389b98ecbde34c1698a250f"},
+    {file = "ujson-5.10.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:a5b366812c90e69d0f379a53648be10a5db38f9d4ad212b60af00bd4048d0f00"},
+    {file = "ujson-5.10.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:502bf475781e8167f0f9d0e41cd32879d120a524b22358e7f205294224c71126"},
+    {file = "ujson-5.10.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5b91b5d0d9d283e085e821651184a647699430705b15bf274c7896f23fe9c9d8"},
+    {file = "ujson-5.10.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:129e39af3a6d85b9c26d5577169c21d53821d8cf68e079060602e861c6e5da1b"},
+    {file = "ujson-5.10.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f77b74475c462cb8b88680471193064d3e715c7c6074b1c8c412cb526466efe9"},
+    {file = "ujson-5.10.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:7ec0ca8c415e81aa4123501fee7f761abf4b7f386aad348501a26940beb1860f"},
+    {file = "ujson-5.10.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:ab13a2a9e0b2865a6c6db9271f4b46af1c7476bfd51af1f64585e919b7c07fd4"},
+    {file = "ujson-5.10.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:57aaf98b92d72fc70886b5a0e1a1ca52c2320377360341715dd3933a18e827b1"},
+    {file = "ujson-5.10.0-cp311-cp311-win32.whl", hash = "sha256:2987713a490ceb27edff77fb184ed09acdc565db700ee852823c3dc3cffe455f"},
+    {file = "ujson-5.10.0-cp311-cp311-win_amd64.whl", hash = "sha256:f00ea7e00447918ee0eff2422c4add4c5752b1b60e88fcb3c067d4a21049a720"},
+    {file = "ujson-5.10.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:98ba15d8cbc481ce55695beee9f063189dce91a4b08bc1d03e7f0152cd4bbdd5"},
+    {file = "ujson-5.10.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:a9d2edbf1556e4f56e50fab7d8ff993dbad7f54bac68eacdd27a8f55f433578e"},
+    {file = "ujson-5.10.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6627029ae4f52d0e1a2451768c2c37c0c814ffc04f796eb36244cf16b8e57043"},
+    {file = "ujson-5.10.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f8ccb77b3e40b151e20519c6ae6d89bfe3f4c14e8e210d910287f778368bb3d1"},
+    {file = "ujson-5.10.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f3caf9cd64abfeb11a3b661329085c5e167abbe15256b3b68cb5d914ba7396f3"},
+    {file = "ujson-5.10.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:6e32abdce572e3a8c3d02c886c704a38a1b015a1fb858004e03d20ca7cecbb21"},
+    {file = "ujson-5.10.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:a65b6af4d903103ee7b6f4f5b85f1bfd0c90ba4eeac6421aae436c9988aa64a2"},
+    {file = "ujson-5.10.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:604a046d966457b6cdcacc5aa2ec5314f0e8c42bae52842c1e6fa02ea4bda42e"},
+    {file = "ujson-5.10.0-cp312-cp312-win32.whl", hash = "sha256:6dea1c8b4fc921bf78a8ff00bbd2bfe166345f5536c510671bccececb187c80e"},
+    {file = "ujson-5.10.0-cp312-cp312-win_amd64.whl", hash = "sha256:38665e7d8290188b1e0d57d584eb8110951a9591363316dd41cf8686ab1d0abc"},
+    {file = "ujson-5.10.0-cp313-cp313-macosx_10_9_x86_64.whl", hash = "sha256:618efd84dc1acbd6bff8eaa736bb6c074bfa8b8a98f55b61c38d4ca2c1f7f287"},
+    {file = "ujson-5.10.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:38d5d36b4aedfe81dfe251f76c0467399d575d1395a1755de391e58985ab1c2e"},
+    {file = "ujson-5.10.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:67079b1f9fb29ed9a2914acf4ef6c02844b3153913eb735d4bf287ee1db6e557"},
+    {file = "ujson-5.10.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d7d0e0ceeb8fe2468c70ec0c37b439dd554e2aa539a8a56365fd761edb418988"},
+    {file = "ujson-5.10.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:59e02cd37bc7c44d587a0ba45347cc815fb7a5fe48de16bf05caa5f7d0d2e816"},
+    {file = "ujson-5.10.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:2a890b706b64e0065f02577bf6d8ca3b66c11a5e81fb75d757233a38c07a1f20"},
+    {file = "ujson-5.10.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:621e34b4632c740ecb491efc7f1fcb4f74b48ddb55e65221995e74e2d00bbff0"},
+    {file = "ujson-5.10.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:b9500e61fce0cfc86168b248104e954fead61f9be213087153d272e817ec7b4f"},
+    {file = "ujson-5.10.0-cp313-cp313-win32.whl", hash = "sha256:4c4fc16f11ac1612f05b6f5781b384716719547e142cfd67b65d035bd85af165"},
+    {file = "ujson-5.10.0-cp313-cp313-win_amd64.whl", hash = "sha256:4573fd1695932d4f619928fd09d5d03d917274381649ade4328091ceca175539"},
+    {file = "ujson-5.10.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:a984a3131da7f07563057db1c3020b1350a3e27a8ec46ccbfbf21e5928a43050"},
+    {file = "ujson-5.10.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:73814cd1b9db6fc3270e9d8fe3b19f9f89e78ee9d71e8bd6c9a626aeaeaf16bd"},
+    {file = "ujson-5.10.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:61e1591ed9376e5eddda202ec229eddc56c612b61ac6ad07f96b91460bb6c2fb"},
+    {file = "ujson-5.10.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d2c75269f8205b2690db4572a4a36fe47cd1338e4368bc73a7a0e48789e2e35a"},
+    {file = "ujson-5.10.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7223f41e5bf1f919cd8d073e35b229295aa8e0f7b5de07ed1c8fddac63a6bc5d"},
+    {file = "ujson-5.10.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:d4dc2fd6b3067c0782e7002ac3b38cf48608ee6366ff176bbd02cf969c9c20fe"},
+    {file = "ujson-5.10.0-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:232cc85f8ee3c454c115455195a205074a56ff42608fd6b942aa4c378ac14dd7"},
+    {file = "ujson-5.10.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:cc6139531f13148055d691e442e4bc6601f6dba1e6d521b1585d4788ab0bfad4"},
+    {file = "ujson-5.10.0-cp38-cp38-win32.whl", hash = "sha256:e7ce306a42b6b93ca47ac4a3b96683ca554f6d35dd8adc5acfcd55096c8dfcb8"},
+    {file = "ujson-5.10.0-cp38-cp38-win_amd64.whl", hash = "sha256:e82d4bb2138ab05e18f089a83b6564fee28048771eb63cdecf4b9b549de8a2cc"},
+    {file = "ujson-5.10.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:dfef2814c6b3291c3c5f10065f745a1307d86019dbd7ea50e83504950136ed5b"},
+    {file = "ujson-5.10.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:4734ee0745d5928d0ba3a213647f1c4a74a2a28edc6d27b2d6d5bd9fa4319e27"},
+    {file = "ujson-5.10.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d47ebb01bd865fdea43da56254a3930a413f0c5590372a1241514abae8aa7c76"},
+    {file = "ujson-5.10.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dee5e97c2496874acbf1d3e37b521dd1f307349ed955e62d1d2f05382bc36dd5"},
+    {file = "ujson-5.10.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7490655a2272a2d0b072ef16b0b58ee462f4973a8f6bbe64917ce5e0a256f9c0"},
+    {file = "ujson-5.10.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:ba17799fcddaddf5c1f75a4ba3fd6441f6a4f1e9173f8a786b42450851bd74f1"},
+    {file = "ujson-5.10.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:2aff2985cef314f21d0fecc56027505804bc78802c0121343874741650a4d3d1"},
+    {file = "ujson-5.10.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:ad88ac75c432674d05b61184178635d44901eb749786c8eb08c102330e6e8996"},
+    {file = "ujson-5.10.0-cp39-cp39-win32.whl", hash = "sha256:2544912a71da4ff8c4f7ab5606f947d7299971bdd25a45e008e467ca638d13c9"},
+    {file = "ujson-5.10.0-cp39-cp39-win_amd64.whl", hash = "sha256:3ff201d62b1b177a46f113bb43ad300b424b7847f9c5d38b1b4ad8f75d4a282a"},
+    {file = "ujson-5.10.0-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:5b6fee72fa77dc172a28f21693f64d93166534c263adb3f96c413ccc85ef6e64"},
+    {file = "ujson-5.10.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:61d0af13a9af01d9f26d2331ce49bb5ac1fb9c814964018ac8df605b5422dcb3"},
+    {file = "ujson-5.10.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ecb24f0bdd899d368b715c9e6664166cf694d1e57be73f17759573a6986dd95a"},
+    {file = "ujson-5.10.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fbd8fd427f57a03cff3ad6574b5e299131585d9727c8c366da4624a9069ed746"},
+    {file = "ujson-5.10.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:beeaf1c48e32f07d8820c705ff8e645f8afa690cca1544adba4ebfa067efdc88"},
+    {file = "ujson-5.10.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:baed37ea46d756aca2955e99525cc02d9181de67f25515c468856c38d52b5f3b"},
+    {file = "ujson-5.10.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:7663960f08cd5a2bb152f5ee3992e1af7690a64c0e26d31ba7b3ff5b2ee66337"},
+    {file = "ujson-5.10.0-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:d8640fb4072d36b08e95a3a380ba65779d356b2fee8696afeb7794cf0902d0a1"},
+    {file = "ujson-5.10.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:78778a3aa7aafb11e7ddca4e29f46bc5139131037ad628cc10936764282d6753"},
+    {file = "ujson-5.10.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b0111b27f2d5c820e7f2dbad7d48e3338c824e7ac4d2a12da3dc6061cc39c8e6"},
+    {file = "ujson-5.10.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:c66962ca7565605b355a9ed478292da628b8f18c0f2793021ca4425abf8b01e5"},
+    {file = "ujson-5.10.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:ba43cc34cce49cf2d4bc76401a754a81202d8aa926d0e2b79f0ee258cb15d3a4"},
+    {file = "ujson-5.10.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:ac56eb983edce27e7f51d05bc8dd820586c6e6be1c5216a6809b0c668bb312b8"},
+    {file = "ujson-5.10.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f44bd4b23a0e723bf8b10628288c2c7c335161d6840013d4d5de20e48551773b"},
+    {file = "ujson-5.10.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7c10f4654e5326ec14a46bcdeb2b685d4ada6911050aa8baaf3501e57024b804"},
+    {file = "ujson-5.10.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0de4971a89a762398006e844ae394bd46991f7c385d7a6a3b93ba229e6dac17e"},
+    {file = "ujson-5.10.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:e1402f0564a97d2a52310ae10a64d25bcef94f8dd643fcf5d310219d915484f7"},
+    {file = "ujson-5.10.0.tar.gz", hash = "sha256:b3cd8f3c5d8c7738257f1018880444f7b7d9b66232c64649f562d7ba86ad4bc1"},
+]
+
+[[package]]
+name = "uncurl"
+version = "0.0.11"
+description = "A library to convert curl requests to python-requests."
+optional = false
+python-versions = "*"
+files = [
+    {file = "uncurl-0.0.11-py3-none-any.whl", hash = "sha256:5961e93f07a5c9f2ef8ae4245bd92b0a6ce503c851de980f5b70080ae74cdc59"},
+    {file = "uncurl-0.0.11.tar.gz", hash = "sha256:530c9bbd4d118f4cde6194165ff484cc25b0661cd256f19e9d5fcb53fc077790"},
+]
+
+[package.dependencies]
+pyperclip = "*"
+six = "*"
+
+[[package]]
+name = "urllib3"
+version = "2.2.2"
+description = "HTTP library with thread-safe connection pooling, file post, and more."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "urllib3-2.2.2-py3-none-any.whl", hash = "sha256:a448b2f64d686155468037e1ace9f2d2199776e17f0a46610480d311f73e3472"},
+    {file = "urllib3-2.2.2.tar.gz", hash = "sha256:dd505485549a7a552833da5e6063639d0d177c04f23bc3864e41e5dc5f612168"},
+]
+
+[package.extras]
+brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
+h2 = ["h2 (>=4,<5)"]
+socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
+zstd = ["zstandard (>=0.18.0)"]
+
+[[package]]
+name = "uvicorn"
+version = "0.30.1"
+description = "The lightning-fast ASGI server."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "uvicorn-0.30.1-py3-none-any.whl", hash = "sha256:cd17daa7f3b9d7a24de3617820e634d0933b69eed8e33a516071174427238c81"},
+    {file = "uvicorn-0.30.1.tar.gz", hash = "sha256:d46cd8e0fd80240baffbcd9ec1012a712938754afcf81bce56c024c1656aece8"},
+]
+
+[package.dependencies]
+click = ">=7.0"
+colorama = {version = ">=0.4", optional = true, markers = "sys_platform == \"win32\" and extra == \"standard\""}
+h11 = ">=0.8"
+httptools = {version = ">=0.5.0", optional = true, markers = "extra == \"standard\""}
+python-dotenv = {version = ">=0.13", optional = true, markers = "extra == \"standard\""}
+pyyaml = {version = ">=5.1", optional = true, markers = "extra == \"standard\""}
+typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""}
+uvloop = {version = ">=0.14.0,<0.15.0 || >0.15.0,<0.15.1 || >0.15.1", optional = true, markers = "(sys_platform != \"win32\" and sys_platform != \"cygwin\") and platform_python_implementation != \"PyPy\" and extra == \"standard\""}
+watchfiles = {version = ">=0.13", optional = true, markers = "extra == \"standard\""}
+websockets = {version = ">=10.4", optional = true, markers = "extra == \"standard\""}
+
+[package.extras]
+standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"]
+
+[[package]]
+name = "uvloop"
+version = "0.19.0"
+description = "Fast implementation of asyncio event loop on top of libuv"
+optional = false
+python-versions = ">=3.8.0"
+files = [
+    {file = "uvloop-0.19.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:de4313d7f575474c8f5a12e163f6d89c0a878bc49219641d49e6f1444369a90e"},
+    {file = "uvloop-0.19.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5588bd21cf1fcf06bded085f37e43ce0e00424197e7c10e77afd4bbefffef428"},
+    {file = "uvloop-0.19.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7b1fd71c3843327f3bbc3237bedcdb6504fd50368ab3e04d0410e52ec293f5b8"},
+    {file = "uvloop-0.19.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5a05128d315e2912791de6088c34136bfcdd0c7cbc1cf85fd6fd1bb321b7c849"},
+    {file = "uvloop-0.19.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:cd81bdc2b8219cb4b2556eea39d2e36bfa375a2dd021404f90a62e44efaaf957"},
+    {file = "uvloop-0.19.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:5f17766fb6da94135526273080f3455a112f82570b2ee5daa64d682387fe0dcd"},
+    {file = "uvloop-0.19.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:4ce6b0af8f2729a02a5d1575feacb2a94fc7b2e983868b009d51c9a9d2149bef"},
+    {file = "uvloop-0.19.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:31e672bb38b45abc4f26e273be83b72a0d28d074d5b370fc4dcf4c4eb15417d2"},
+    {file = "uvloop-0.19.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:570fc0ed613883d8d30ee40397b79207eedd2624891692471808a95069a007c1"},
+    {file = "uvloop-0.19.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5138821e40b0c3e6c9478643b4660bd44372ae1e16a322b8fc07478f92684e24"},
+    {file = "uvloop-0.19.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:91ab01c6cd00e39cde50173ba4ec68a1e578fee9279ba64f5221810a9e786533"},
+    {file = "uvloop-0.19.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:47bf3e9312f63684efe283f7342afb414eea4d3011542155c7e625cd799c3b12"},
+    {file = "uvloop-0.19.0-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:da8435a3bd498419ee8c13c34b89b5005130a476bda1d6ca8cfdde3de35cd650"},
+    {file = "uvloop-0.19.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:02506dc23a5d90e04d4f65c7791e65cf44bd91b37f24cfc3ef6cf2aff05dc7ec"},
+    {file = "uvloop-0.19.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2693049be9d36fef81741fddb3f441673ba12a34a704e7b4361efb75cf30befc"},
+    {file = "uvloop-0.19.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7010271303961c6f0fe37731004335401eb9075a12680738731e9c92ddd96ad6"},
+    {file = "uvloop-0.19.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:5daa304d2161d2918fa9a17d5635099a2f78ae5b5960e742b2fcfbb7aefaa593"},
+    {file = "uvloop-0.19.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:7207272c9520203fea9b93843bb775d03e1cf88a80a936ce760f60bb5add92f3"},
+    {file = "uvloop-0.19.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:78ab247f0b5671cc887c31d33f9b3abfb88d2614b84e4303f1a63b46c046c8bd"},
+    {file = "uvloop-0.19.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:472d61143059c84947aa8bb74eabbace30d577a03a1805b77933d6bd13ddebbd"},
+    {file = "uvloop-0.19.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:45bf4c24c19fb8a50902ae37c5de50da81de4922af65baf760f7c0c42e1088be"},
+    {file = "uvloop-0.19.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:271718e26b3e17906b28b67314c45d19106112067205119dddbd834c2b7ce797"},
+    {file = "uvloop-0.19.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:34175c9fd2a4bc3adc1380e1261f60306344e3407c20a4d684fd5f3be010fa3d"},
+    {file = "uvloop-0.19.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:e27f100e1ff17f6feeb1f33968bc185bf8ce41ca557deee9d9bbbffeb72030b7"},
+    {file = "uvloop-0.19.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:13dfdf492af0aa0a0edf66807d2b465607d11c4fa48f4a1fd41cbea5b18e8e8b"},
+    {file = "uvloop-0.19.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:6e3d4e85ac060e2342ff85e90d0c04157acb210b9ce508e784a944f852a40e67"},
+    {file = "uvloop-0.19.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8ca4956c9ab567d87d59d49fa3704cf29e37109ad348f2d5223c9bf761a332e7"},
+    {file = "uvloop-0.19.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f467a5fd23b4fc43ed86342641f3936a68ded707f4627622fa3f82a120e18256"},
+    {file = "uvloop-0.19.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:492e2c32c2af3f971473bc22f086513cedfc66a130756145a931a90c3958cb17"},
+    {file = "uvloop-0.19.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:2df95fca285a9f5bfe730e51945ffe2fa71ccbfdde3b0da5772b4ee4f2e770d5"},
+    {file = "uvloop-0.19.0.tar.gz", hash = "sha256:0246f4fd1bf2bf702e06b0d45ee91677ee5c31242f39aab4ea6fe0c51aedd0fd"},
+]
+
+[package.extras]
+docs = ["Sphinx (>=4.1.2,<4.2.0)", "sphinx-rtd-theme (>=0.5.2,<0.6.0)", "sphinxcontrib-asyncio (>=0.3.0,<0.4.0)"]
+test = ["Cython (>=0.29.36,<0.30.0)", "aiohttp (==3.9.0b0)", "aiohttp (>=3.8.1)", "flake8 (>=5.0,<6.0)", "mypy (>=0.800)", "psutil", "pyOpenSSL (>=23.0.0,<23.1.0)", "pycodestyle (>=2.9.0,<2.10.0)"]
+
+[[package]]
+name = "watchfiles"
+version = "0.22.0"
+description = "Simple, modern and high performance file watching and code reload in python."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "watchfiles-0.22.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:da1e0a8caebf17976e2ffd00fa15f258e14749db5e014660f53114b676e68538"},
+    {file = "watchfiles-0.22.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:61af9efa0733dc4ca462347becb82e8ef4945aba5135b1638bfc20fad64d4f0e"},
+    {file = "watchfiles-0.22.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1d9188979a58a096b6f8090e816ccc3f255f137a009dd4bbec628e27696d67c1"},
+    {file = "watchfiles-0.22.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:2bdadf6b90c099ca079d468f976fd50062905d61fae183f769637cb0f68ba59a"},
+    {file = "watchfiles-0.22.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:067dea90c43bf837d41e72e546196e674f68c23702d3ef80e4e816937b0a3ffd"},
+    {file = "watchfiles-0.22.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bbf8a20266136507abf88b0df2328e6a9a7c7309e8daff124dda3803306a9fdb"},
+    {file = "watchfiles-0.22.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1235c11510ea557fe21be5d0e354bae2c655a8ee6519c94617fe63e05bca4171"},
+    {file = "watchfiles-0.22.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c2444dc7cb9d8cc5ab88ebe792a8d75709d96eeef47f4c8fccb6df7c7bc5be71"},
+    {file = "watchfiles-0.22.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:c5af2347d17ab0bd59366db8752d9e037982e259cacb2ba06f2c41c08af02c39"},
+    {file = "watchfiles-0.22.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:9624a68b96c878c10437199d9a8b7d7e542feddda8d5ecff58fdc8e67b460848"},
+    {file = "watchfiles-0.22.0-cp310-none-win32.whl", hash = "sha256:4b9f2a128a32a2c273d63eb1fdbf49ad64852fc38d15b34eaa3f7ca2f0d2b797"},
+    {file = "watchfiles-0.22.0-cp310-none-win_amd64.whl", hash = "sha256:2627a91e8110b8de2406d8b2474427c86f5a62bf7d9ab3654f541f319ef22bcb"},
+    {file = "watchfiles-0.22.0-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:8c39987a1397a877217be1ac0fb1d8b9f662c6077b90ff3de2c05f235e6a8f96"},
+    {file = "watchfiles-0.22.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:a927b3034d0672f62fb2ef7ea3c9fc76d063c4b15ea852d1db2dc75fe2c09696"},
+    {file = "watchfiles-0.22.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:052d668a167e9fc345c24203b104c313c86654dd6c0feb4b8a6dfc2462239249"},
+    {file = "watchfiles-0.22.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5e45fb0d70dda1623a7045bd00c9e036e6f1f6a85e4ef2c8ae602b1dfadf7550"},
+    {file = "watchfiles-0.22.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c49b76a78c156979759d759339fb62eb0549515acfe4fd18bb151cc07366629c"},
+    {file = "watchfiles-0.22.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c4a65474fd2b4c63e2c18ac67a0c6c66b82f4e73e2e4d940f837ed3d2fd9d4da"},
+    {file = "watchfiles-0.22.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1cc0cba54f47c660d9fa3218158b8963c517ed23bd9f45fe463f08262a4adae1"},
+    {file = "watchfiles-0.22.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:94ebe84a035993bb7668f58a0ebf998174fb723a39e4ef9fce95baabb42b787f"},
+    {file = "watchfiles-0.22.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:e0f0a874231e2839abbf473256efffe577d6ee2e3bfa5b540479e892e47c172d"},
+    {file = "watchfiles-0.22.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:213792c2cd3150b903e6e7884d40660e0bcec4465e00563a5fc03f30ea9c166c"},
+    {file = "watchfiles-0.22.0-cp311-none-win32.whl", hash = "sha256:b44b70850f0073b5fcc0b31ede8b4e736860d70e2dbf55701e05d3227a154a67"},
+    {file = "watchfiles-0.22.0-cp311-none-win_amd64.whl", hash = "sha256:00f39592cdd124b4ec5ed0b1edfae091567c72c7da1487ae645426d1b0ffcad1"},
+    {file = "watchfiles-0.22.0-cp311-none-win_arm64.whl", hash = "sha256:3218a6f908f6a276941422b035b511b6d0d8328edd89a53ae8c65be139073f84"},
+    {file = "watchfiles-0.22.0-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:c7b978c384e29d6c7372209cbf421d82286a807bbcdeb315427687f8371c340a"},
+    {file = "watchfiles-0.22.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:bd4c06100bce70a20c4b81e599e5886cf504c9532951df65ad1133e508bf20be"},
+    {file = "watchfiles-0.22.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:425440e55cd735386ec7925f64d5dde392e69979d4c8459f6bb4e920210407f2"},
+    {file = "watchfiles-0.22.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:68fe0c4d22332d7ce53ad094622b27e67440dacefbaedd29e0794d26e247280c"},
+    {file = "watchfiles-0.22.0-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a8a31bfd98f846c3c284ba694c6365620b637debdd36e46e1859c897123aa232"},
+    {file = "watchfiles-0.22.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:dc2e8fe41f3cac0660197d95216c42910c2b7e9c70d48e6d84e22f577d106fc1"},
+    {file = "watchfiles-0.22.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:55b7cc10261c2786c41d9207193a85c1db1b725cf87936df40972aab466179b6"},
+    {file = "watchfiles-0.22.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:28585744c931576e535860eaf3f2c0ec7deb68e3b9c5a85ca566d69d36d8dd27"},
+    {file = "watchfiles-0.22.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:00095dd368f73f8f1c3a7982a9801190cc88a2f3582dd395b289294f8975172b"},
+    {file = "watchfiles-0.22.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:52fc9b0dbf54d43301a19b236b4a4614e610605f95e8c3f0f65c3a456ffd7d35"},
+    {file = "watchfiles-0.22.0-cp312-none-win32.whl", hash = "sha256:581f0a051ba7bafd03e17127735d92f4d286af941dacf94bcf823b101366249e"},
+    {file = "watchfiles-0.22.0-cp312-none-win_amd64.whl", hash = "sha256:aec83c3ba24c723eac14225194b862af176d52292d271c98820199110e31141e"},
+    {file = "watchfiles-0.22.0-cp312-none-win_arm64.whl", hash = "sha256:c668228833c5619f6618699a2c12be057711b0ea6396aeaece4ded94184304ea"},
+    {file = "watchfiles-0.22.0-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:d47e9ef1a94cc7a536039e46738e17cce058ac1593b2eccdede8bf72e45f372a"},
+    {file = "watchfiles-0.22.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:28f393c1194b6eaadcdd8f941307fc9bbd7eb567995232c830f6aef38e8a6e88"},
+    {file = "watchfiles-0.22.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dd64f3a4db121bc161644c9e10a9acdb836853155a108c2446db2f5ae1778c3d"},
+    {file = "watchfiles-0.22.0-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:2abeb79209630da981f8ebca30a2c84b4c3516a214451bfc5f106723c5f45843"},
+    {file = "watchfiles-0.22.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4cc382083afba7918e32d5ef12321421ef43d685b9a67cc452a6e6e18920890e"},
+    {file = "watchfiles-0.22.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d048ad5d25b363ba1d19f92dcf29023988524bee6f9d952130b316c5802069cb"},
+    {file = "watchfiles-0.22.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:103622865599f8082f03af4214eaff90e2426edff5e8522c8f9e93dc17caee13"},
+    {file = "watchfiles-0.22.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d3e1f3cf81f1f823e7874ae563457828e940d75573c8fbf0ee66818c8b6a9099"},
+    {file = "watchfiles-0.22.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:8597b6f9dc410bdafc8bb362dac1cbc9b4684a8310e16b1ff5eee8725d13dcd6"},
+    {file = "watchfiles-0.22.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:0b04a2cbc30e110303baa6d3ddce8ca3664bc3403be0f0ad513d1843a41c97d1"},
+    {file = "watchfiles-0.22.0-cp38-none-win32.whl", hash = "sha256:b610fb5e27825b570554d01cec427b6620ce9bd21ff8ab775fc3a32f28bba63e"},
+    {file = "watchfiles-0.22.0-cp38-none-win_amd64.whl", hash = "sha256:fe82d13461418ca5e5a808a9e40f79c1879351fcaeddbede094028e74d836e86"},
+    {file = "watchfiles-0.22.0-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:3973145235a38f73c61474d56ad6199124e7488822f3a4fc97c72009751ae3b0"},
+    {file = "watchfiles-0.22.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:280a4afbc607cdfc9571b9904b03a478fc9f08bbeec382d648181c695648202f"},
+    {file = "watchfiles-0.22.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3a0d883351a34c01bd53cfa75cd0292e3f7e268bacf2f9e33af4ecede7e21d1d"},
+    {file = "watchfiles-0.22.0-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:9165bcab15f2b6d90eedc5c20a7f8a03156b3773e5fb06a790b54ccecdb73385"},
+    {file = "watchfiles-0.22.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:dc1b9b56f051209be458b87edb6856a449ad3f803315d87b2da4c93b43a6fe72"},
+    {file = "watchfiles-0.22.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8dc1fc25a1dedf2dd952909c8e5cb210791e5f2d9bc5e0e8ebc28dd42fed7562"},
+    {file = "watchfiles-0.22.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:dc92d2d2706d2b862ce0568b24987eba51e17e14b79a1abcd2edc39e48e743c8"},
+    {file = "watchfiles-0.22.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:97b94e14b88409c58cdf4a8eaf0e67dfd3ece7e9ce7140ea6ff48b0407a593ec"},
+    {file = "watchfiles-0.22.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:96eec15e5ea7c0b6eb5bfffe990fc7c6bd833acf7e26704eb18387fb2f5fd087"},
+    {file = "watchfiles-0.22.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:28324d6b28bcb8d7c1041648d7b63be07a16db5510bea923fc80b91a2a6cbed6"},
+    {file = "watchfiles-0.22.0-cp39-none-win32.whl", hash = "sha256:8c3e3675e6e39dc59b8fe5c914a19d30029e36e9f99468dddffd432d8a7b1c93"},
+    {file = "watchfiles-0.22.0-cp39-none-win_amd64.whl", hash = "sha256:25c817ff2a86bc3de3ed2df1703e3d24ce03479b27bb4527c57e722f8554d971"},
+    {file = "watchfiles-0.22.0-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:b810a2c7878cbdecca12feae2c2ae8af59bea016a78bc353c184fa1e09f76b68"},
+    {file = "watchfiles-0.22.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:f7e1f9c5d1160d03b93fc4b68a0aeb82fe25563e12fbcdc8507f8434ab6f823c"},
+    {file = "watchfiles-0.22.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:030bc4e68d14bcad2294ff68c1ed87215fbd9a10d9dea74e7cfe8a17869785ab"},
+    {file = "watchfiles-0.22.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ace7d060432acde5532e26863e897ee684780337afb775107c0a90ae8dbccfd2"},
+    {file = "watchfiles-0.22.0-pp38-pypy38_pp73-macosx_10_12_x86_64.whl", hash = "sha256:5834e1f8b71476a26df97d121c0c0ed3549d869124ed2433e02491553cb468c2"},
+    {file = "watchfiles-0.22.0-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:0bc3b2f93a140df6806c8467c7f51ed5e55a931b031b5c2d7ff6132292e803d6"},
+    {file = "watchfiles-0.22.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8fdebb655bb1ba0122402352b0a4254812717a017d2dc49372a1d47e24073795"},
+    {file = "watchfiles-0.22.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0c8e0aa0e8cc2a43561e0184c0513e291ca891db13a269d8d47cb9841ced7c71"},
+    {file = "watchfiles-0.22.0-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:2f350cbaa4bb812314af5dab0eb8d538481e2e2279472890864547f3fe2281ed"},
+    {file = "watchfiles-0.22.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:7a74436c415843af2a769b36bf043b6ccbc0f8d784814ba3d42fc961cdb0a9dc"},
+    {file = "watchfiles-0.22.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:00ad0bcd399503a84cc688590cdffbe7a991691314dde5b57b3ed50a41319a31"},
+    {file = "watchfiles-0.22.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:72a44e9481afc7a5ee3291b09c419abab93b7e9c306c9ef9108cb76728ca58d2"},
+    {file = "watchfiles-0.22.0.tar.gz", hash = "sha256:988e981aaab4f3955209e7e28c7794acdb690be1efa7f16f8ea5aba7ffdadacb"},
+]
+
+[package.dependencies]
+anyio = ">=3.0.0"
+
+[[package]]
+name = "websockets"
+version = "12.0"
+description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "websockets-12.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d554236b2a2006e0ce16315c16eaa0d628dab009c33b63ea03f41c6107958374"},
+    {file = "websockets-12.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2d225bb6886591b1746b17c0573e29804619c8f755b5598d875bb4235ea639be"},
+    {file = "websockets-12.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:eb809e816916a3b210bed3c82fb88eaf16e8afcf9c115ebb2bacede1797d2547"},
+    {file = "websockets-12.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c588f6abc13f78a67044c6b1273a99e1cf31038ad51815b3b016ce699f0d75c2"},
+    {file = "websockets-12.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5aa9348186d79a5f232115ed3fa9020eab66d6c3437d72f9d2c8ac0c6858c558"},
+    {file = "websockets-12.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6350b14a40c95ddd53e775dbdbbbc59b124a5c8ecd6fbb09c2e52029f7a9f480"},
+    {file = "websockets-12.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:70ec754cc2a769bcd218ed8d7209055667b30860ffecb8633a834dde27d6307c"},
+    {file = "websockets-12.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:6e96f5ed1b83a8ddb07909b45bd94833b0710f738115751cdaa9da1fb0cb66e8"},
+    {file = "websockets-12.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:4d87be612cbef86f994178d5186add3d94e9f31cc3cb499a0482b866ec477603"},
+    {file = "websockets-12.0-cp310-cp310-win32.whl", hash = "sha256:befe90632d66caaf72e8b2ed4d7f02b348913813c8b0a32fae1cc5fe3730902f"},
+    {file = "websockets-12.0-cp310-cp310-win_amd64.whl", hash = "sha256:363f57ca8bc8576195d0540c648aa58ac18cf85b76ad5202b9f976918f4219cf"},
+    {file = "websockets-12.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:5d873c7de42dea355d73f170be0f23788cf3fa9f7bed718fd2830eefedce01b4"},
+    {file = "websockets-12.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:3f61726cae9f65b872502ff3c1496abc93ffbe31b278455c418492016e2afc8f"},
+    {file = "websockets-12.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:ed2fcf7a07334c77fc8a230755c2209223a7cc44fc27597729b8ef5425aa61a3"},
+    {file = "websockets-12.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8e332c210b14b57904869ca9f9bf4ca32f5427a03eeb625da9b616c85a3a506c"},
+    {file = "websockets-12.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5693ef74233122f8ebab026817b1b37fe25c411ecfca084b29bc7d6efc548f45"},
+    {file = "websockets-12.0-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6e9e7db18b4539a29cc5ad8c8b252738a30e2b13f033c2d6e9d0549b45841c04"},
+    {file = "websockets-12.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:6e2df67b8014767d0f785baa98393725739287684b9f8d8a1001eb2839031447"},
+    {file = "websockets-12.0-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:bea88d71630c5900690fcb03161ab18f8f244805c59e2e0dc4ffadae0a7ee0ca"},
+    {file = "websockets-12.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:dff6cdf35e31d1315790149fee351f9e52978130cef6c87c4b6c9b3baf78bc53"},
+    {file = "websockets-12.0-cp311-cp311-win32.whl", hash = "sha256:3e3aa8c468af01d70332a382350ee95f6986db479ce7af14d5e81ec52aa2b402"},
+    {file = "websockets-12.0-cp311-cp311-win_amd64.whl", hash = "sha256:25eb766c8ad27da0f79420b2af4b85d29914ba0edf69f547cc4f06ca6f1d403b"},
+    {file = "websockets-12.0-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:0e6e2711d5a8e6e482cacb927a49a3d432345dfe7dea8ace7b5790df5932e4df"},
+    {file = "websockets-12.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:dbcf72a37f0b3316e993e13ecf32f10c0e1259c28ffd0a85cee26e8549595fbc"},
+    {file = "websockets-12.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:12743ab88ab2af1d17dd4acb4645677cb7063ef4db93abffbf164218a5d54c6b"},
+    {file = "websockets-12.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7b645f491f3c48d3f8a00d1fce07445fab7347fec54a3e65f0725d730d5b99cb"},
+    {file = "websockets-12.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9893d1aa45a7f8b3bc4510f6ccf8db8c3b62120917af15e3de247f0780294b92"},
+    {file = "websockets-12.0-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1f38a7b376117ef7aff996e737583172bdf535932c9ca021746573bce40165ed"},
+    {file = "websockets-12.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:f764ba54e33daf20e167915edc443b6f88956f37fb606449b4a5b10ba42235a5"},
+    {file = "websockets-12.0-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:1e4b3f8ea6a9cfa8be8484c9221ec0257508e3a1ec43c36acdefb2a9c3b00aa2"},
+    {file = "websockets-12.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:9fdf06fd06c32205a07e47328ab49c40fc1407cdec801d698a7c41167ea45113"},
+    {file = "websockets-12.0-cp312-cp312-win32.whl", hash = "sha256:baa386875b70cbd81798fa9f71be689c1bf484f65fd6fb08d051a0ee4e79924d"},
+    {file = "websockets-12.0-cp312-cp312-win_amd64.whl", hash = "sha256:ae0a5da8f35a5be197f328d4727dbcfafa53d1824fac3d96cdd3a642fe09394f"},
+    {file = "websockets-12.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:5f6ffe2c6598f7f7207eef9a1228b6f5c818f9f4d53ee920aacd35cec8110438"},
+    {file = "websockets-12.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:9edf3fc590cc2ec20dc9d7a45108b5bbaf21c0d89f9fd3fd1685e223771dc0b2"},
+    {file = "websockets-12.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:8572132c7be52632201a35f5e08348137f658e5ffd21f51f94572ca6c05ea81d"},
+    {file = "websockets-12.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:604428d1b87edbf02b233e2c207d7d528460fa978f9e391bd8aaf9c8311de137"},
+    {file = "websockets-12.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1a9d160fd080c6285e202327aba140fc9a0d910b09e423afff4ae5cbbf1c7205"},
+    {file = "websockets-12.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:87b4aafed34653e465eb77b7c93ef058516cb5acf3eb21e42f33928616172def"},
+    {file = "websockets-12.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:b2ee7288b85959797970114deae81ab41b731f19ebcd3bd499ae9ca0e3f1d2c8"},
+    {file = "websockets-12.0-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:7fa3d25e81bfe6a89718e9791128398a50dec6d57faf23770787ff441d851967"},
+    {file = "websockets-12.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:a571f035a47212288e3b3519944f6bf4ac7bc7553243e41eac50dd48552b6df7"},
+    {file = "websockets-12.0-cp38-cp38-win32.whl", hash = "sha256:3c6cc1360c10c17463aadd29dd3af332d4a1adaa8796f6b0e9f9df1fdb0bad62"},
+    {file = "websockets-12.0-cp38-cp38-win_amd64.whl", hash = "sha256:1bf386089178ea69d720f8db6199a0504a406209a0fc23e603b27b300fdd6892"},
+    {file = "websockets-12.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:ab3d732ad50a4fbd04a4490ef08acd0517b6ae6b77eb967251f4c263011a990d"},
+    {file = "websockets-12.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:a1d9697f3337a89691e3bd8dc56dea45a6f6d975f92e7d5f773bc715c15dde28"},
+    {file = "websockets-12.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:1df2fbd2c8a98d38a66f5238484405b8d1d16f929bb7a33ed73e4801222a6f53"},
+    {file = "websockets-12.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:23509452b3bc38e3a057382c2e941d5ac2e01e251acce7adc74011d7d8de434c"},
+    {file = "websockets-12.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2e5fc14ec6ea568200ea4ef46545073da81900a2b67b3e666f04adf53ad452ec"},
+    {file = "websockets-12.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:46e71dbbd12850224243f5d2aeec90f0aaa0f2dde5aeeb8fc8df21e04d99eff9"},
+    {file = "websockets-12.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:b81f90dcc6c85a9b7f29873beb56c94c85d6f0dac2ea8b60d995bd18bf3e2aae"},
+    {file = "websockets-12.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:a02413bc474feda2849c59ed2dfb2cddb4cd3d2f03a2fedec51d6e959d9b608b"},
+    {file = "websockets-12.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:bbe6013f9f791944ed31ca08b077e26249309639313fff132bfbf3ba105673b9"},
+    {file = "websockets-12.0-cp39-cp39-win32.whl", hash = "sha256:cbe83a6bbdf207ff0541de01e11904827540aa069293696dd528a6640bd6a5f6"},
+    {file = "websockets-12.0-cp39-cp39-win_amd64.whl", hash = "sha256:fc4e7fa5414512b481a2483775a8e8be7803a35b30ca805afa4998a84f9fd9e8"},
+    {file = "websockets-12.0-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:248d8e2446e13c1d4326e0a6a4e9629cb13a11195051a73acf414812700badbd"},
+    {file = "websockets-12.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f44069528d45a933997a6fef143030d8ca8042f0dfaad753e2906398290e2870"},
+    {file = "websockets-12.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c4e37d36f0d19f0a4413d3e18c0d03d0c268ada2061868c1e6f5ab1a6d575077"},
+    {file = "websockets-12.0-pp310-pypy310_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3d829f975fc2e527a3ef2f9c8f25e553eb7bc779c6665e8e1d52aa22800bb38b"},
+    {file = "websockets-12.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:2c71bd45a777433dd9113847af751aae36e448bc6b8c361a566cb043eda6ec30"},
+    {file = "websockets-12.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:0bee75f400895aef54157b36ed6d3b308fcab62e5260703add87f44cee9c82a6"},
+    {file = "websockets-12.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:423fc1ed29f7512fceb727e2d2aecb952c46aa34895e9ed96071821309951123"},
+    {file = "websockets-12.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:27a5e9964ef509016759f2ef3f2c1e13f403725a5e6a1775555994966a66e931"},
+    {file = "websockets-12.0-pp38-pypy38_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c3181df4583c4d3994d31fb235dc681d2aaad744fbdbf94c4802485ececdecf2"},
+    {file = "websockets-12.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:b067cb952ce8bf40115f6c19f478dc71c5e719b7fbaa511359795dfd9d1a6468"},
+    {file = "websockets-12.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:00700340c6c7ab788f176d118775202aadea7602c5cc6be6ae127761c16d6b0b"},
+    {file = "websockets-12.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e469d01137942849cff40517c97a30a93ae79917752b34029f0ec72df6b46399"},
+    {file = "websockets-12.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ffefa1374cd508d633646d51a8e9277763a9b78ae71324183693959cf94635a7"},
+    {file = "websockets-12.0-pp39-pypy39_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba0cab91b3956dfa9f512147860783a1829a8d905ee218a9837c18f683239611"},
+    {file = "websockets-12.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:2cb388a5bfb56df4d9a406783b7f9dbefb888c09b71629351cc6b036e9259370"},
+    {file = "websockets-12.0-py3-none-any.whl", hash = "sha256:dc284bbc8d7c78a6c69e0c7325ab46ee5e40bb4d50e494d8131a07ef47500e9e"},
+    {file = "websockets-12.0.tar.gz", hash = "sha256:81df9cbcbb6c260de1e007e58c011bfebe2dafc8435107b0537f393dd38c8b1b"},
+]
+
+[[package]]
+name = "win32-setctime"
+version = "1.1.0"
+description = "A small Python utility to set file creation time on Windows"
+optional = false
+python-versions = ">=3.5"
+files = [
+    {file = "win32_setctime-1.1.0-py3-none-any.whl", hash = "sha256:231db239e959c2fe7eb1d7dc129f11172354f98361c4fa2d6d2d7e278baa8aad"},
+    {file = "win32_setctime-1.1.0.tar.gz", hash = "sha256:15cf5750465118d6929ae4de4eb46e8edae9a5634350c01ba582df868e932cb2"},
+]
+
+[package.extras]
+dev = ["black (>=19.3b0)", "pytest (>=4.6.2)"]
+
+[[package]]
+name = "yarl"
+version = "1.9.4"
+description = "Yet another URL library"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "yarl-1.9.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a8c1df72eb746f4136fe9a2e72b0c9dc1da1cbd23b5372f94b5820ff8ae30e0e"},
+    {file = "yarl-1.9.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a3a6ed1d525bfb91b3fc9b690c5a21bb52de28c018530ad85093cc488bee2dd2"},
+    {file = "yarl-1.9.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c38c9ddb6103ceae4e4498f9c08fac9b590c5c71b0370f98714768e22ac6fa66"},
+    {file = "yarl-1.9.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d9e09c9d74f4566e905a0b8fa668c58109f7624db96a2171f21747abc7524234"},
+    {file = "yarl-1.9.4-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b8477c1ee4bd47c57d49621a062121c3023609f7a13b8a46953eb6c9716ca392"},
+    {file = "yarl-1.9.4-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d5ff2c858f5f6a42c2a8e751100f237c5e869cbde669a724f2062d4c4ef93551"},
+    {file = "yarl-1.9.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:357495293086c5b6d34ca9616a43d329317feab7917518bc97a08f9e55648455"},
+    {file = "yarl-1.9.4-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:54525ae423d7b7a8ee81ba189f131054defdb122cde31ff17477951464c1691c"},
+    {file = "yarl-1.9.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:801e9264d19643548651b9db361ce3287176671fb0117f96b5ac0ee1c3530d53"},
+    {file = "yarl-1.9.4-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:e516dc8baf7b380e6c1c26792610230f37147bb754d6426462ab115a02944385"},
+    {file = "yarl-1.9.4-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:7d5aaac37d19b2904bb9dfe12cdb08c8443e7ba7d2852894ad448d4b8f442863"},
+    {file = "yarl-1.9.4-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:54beabb809ffcacbd9d28ac57b0db46e42a6e341a030293fb3185c409e626b8b"},
+    {file = "yarl-1.9.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:bac8d525a8dbc2a1507ec731d2867025d11ceadcb4dd421423a5d42c56818541"},
+    {file = "yarl-1.9.4-cp310-cp310-win32.whl", hash = "sha256:7855426dfbddac81896b6e533ebefc0af2f132d4a47340cee6d22cac7190022d"},
+    {file = "yarl-1.9.4-cp310-cp310-win_amd64.whl", hash = "sha256:848cd2a1df56ddbffeb375535fb62c9d1645dde33ca4d51341378b3f5954429b"},
+    {file = "yarl-1.9.4-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:35a2b9396879ce32754bd457d31a51ff0a9d426fd9e0e3c33394bf4b9036b099"},
+    {file = "yarl-1.9.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:4c7d56b293cc071e82532f70adcbd8b61909eec973ae9d2d1f9b233f3d943f2c"},
+    {file = "yarl-1.9.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:d8a1c6c0be645c745a081c192e747c5de06e944a0d21245f4cf7c05e457c36e0"},
+    {file = "yarl-1.9.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4b3c1ffe10069f655ea2d731808e76e0f452fc6c749bea04781daf18e6039525"},
+    {file = "yarl-1.9.4-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:549d19c84c55d11687ddbd47eeb348a89df9cb30e1993f1b128f4685cd0ebbf8"},
+    {file = "yarl-1.9.4-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a7409f968456111140c1c95301cadf071bd30a81cbd7ab829169fb9e3d72eae9"},
+    {file = "yarl-1.9.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e23a6d84d9d1738dbc6e38167776107e63307dfc8ad108e580548d1f2c587f42"},
+    {file = "yarl-1.9.4-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d8b889777de69897406c9fb0b76cdf2fd0f31267861ae7501d93003d55f54fbe"},
+    {file = "yarl-1.9.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:03caa9507d3d3c83bca08650678e25364e1843b484f19986a527630ca376ecce"},
+    {file = "yarl-1.9.4-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:4e9035df8d0880b2f1c7f5031f33f69e071dfe72ee9310cfc76f7b605958ceb9"},
+    {file = "yarl-1.9.4-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:c0ec0ed476f77db9fb29bca17f0a8fcc7bc97ad4c6c1d8959c507decb22e8572"},
+    {file = "yarl-1.9.4-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:ee04010f26d5102399bd17f8df8bc38dc7ccd7701dc77f4a68c5b8d733406958"},
+    {file = "yarl-1.9.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:49a180c2e0743d5d6e0b4d1a9e5f633c62eca3f8a86ba5dd3c471060e352ca98"},
+    {file = "yarl-1.9.4-cp311-cp311-win32.whl", hash = "sha256:81eb57278deb6098a5b62e88ad8281b2ba09f2f1147c4767522353eaa6260b31"},
+    {file = "yarl-1.9.4-cp311-cp311-win_amd64.whl", hash = "sha256:d1d2532b340b692880261c15aee4dc94dd22ca5d61b9db9a8a361953d36410b1"},
+    {file = "yarl-1.9.4-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:0d2454f0aef65ea81037759be5ca9947539667eecebca092733b2eb43c965a81"},
+    {file = "yarl-1.9.4-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:44d8ffbb9c06e5a7f529f38f53eda23e50d1ed33c6c869e01481d3fafa6b8142"},
+    {file = "yarl-1.9.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:aaaea1e536f98754a6e5c56091baa1b6ce2f2700cc4a00b0d49eca8dea471074"},
+    {file = "yarl-1.9.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3777ce5536d17989c91696db1d459574e9a9bd37660ea7ee4d3344579bb6f129"},
+    {file = "yarl-1.9.4-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9fc5fc1eeb029757349ad26bbc5880557389a03fa6ada41703db5e068881e5f2"},
+    {file = "yarl-1.9.4-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:ea65804b5dc88dacd4a40279af0cdadcfe74b3e5b4c897aa0d81cf86927fee78"},
+    {file = "yarl-1.9.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aa102d6d280a5455ad6a0f9e6d769989638718e938a6a0a2ff3f4a7ff8c62cc4"},
+    {file = "yarl-1.9.4-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:09efe4615ada057ba2d30df871d2f668af661e971dfeedf0c159927d48bbeff0"},
+    {file = "yarl-1.9.4-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:008d3e808d03ef28542372d01057fd09168419cdc8f848efe2804f894ae03e51"},
+    {file = "yarl-1.9.4-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:6f5cb257bc2ec58f437da2b37a8cd48f666db96d47b8a3115c29f316313654ff"},
+    {file = "yarl-1.9.4-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:992f18e0ea248ee03b5a6e8b3b4738850ae7dbb172cc41c966462801cbf62cf7"},
+    {file = "yarl-1.9.4-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:0e9d124c191d5b881060a9e5060627694c3bdd1fe24c5eecc8d5d7d0eb6faabc"},
+    {file = "yarl-1.9.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:3986b6f41ad22988e53d5778f91855dc0399b043fc8946d4f2e68af22ee9ff10"},
+    {file = "yarl-1.9.4-cp312-cp312-win32.whl", hash = "sha256:4b21516d181cd77ebd06ce160ef8cc2a5e9ad35fb1c5930882baff5ac865eee7"},
+    {file = "yarl-1.9.4-cp312-cp312-win_amd64.whl", hash = "sha256:a9bd00dc3bc395a662900f33f74feb3e757429e545d831eef5bb280252631984"},
+    {file = "yarl-1.9.4-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:63b20738b5aac74e239622d2fe30df4fca4942a86e31bf47a81a0e94c14df94f"},
+    {file = "yarl-1.9.4-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d7d7f7de27b8944f1fee2c26a88b4dabc2409d2fea7a9ed3df79b67277644e17"},
+    {file = "yarl-1.9.4-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c74018551e31269d56fab81a728f683667e7c28c04e807ba08f8c9e3bba32f14"},
+    {file = "yarl-1.9.4-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:ca06675212f94e7a610e85ca36948bb8fc023e458dd6c63ef71abfd482481aa5"},
+    {file = "yarl-1.9.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5aef935237d60a51a62b86249839b51345f47564208c6ee615ed2a40878dccdd"},
+    {file = "yarl-1.9.4-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2b134fd795e2322b7684155b7855cc99409d10b2e408056db2b93b51a52accc7"},
+    {file = "yarl-1.9.4-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:d25039a474c4c72a5ad4b52495056f843a7ff07b632c1b92ea9043a3d9950f6e"},
+    {file = "yarl-1.9.4-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:f7d6b36dd2e029b6bcb8a13cf19664c7b8e19ab3a58e0fefbb5b8461447ed5ec"},
+    {file = "yarl-1.9.4-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:957b4774373cf6f709359e5c8c4a0af9f6d7875db657adb0feaf8d6cb3c3964c"},
+    {file = "yarl-1.9.4-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:d7eeb6d22331e2fd42fce928a81c697c9ee2d51400bd1a28803965883e13cead"},
+    {file = "yarl-1.9.4-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:6a962e04b8f91f8c4e5917e518d17958e3bdee71fd1d8b88cdce74dd0ebbf434"},
+    {file = "yarl-1.9.4-cp37-cp37m-win32.whl", hash = "sha256:f3bc6af6e2b8f92eced34ef6a96ffb248e863af20ef4fde9448cc8c9b858b749"},
+    {file = "yarl-1.9.4-cp37-cp37m-win_amd64.whl", hash = "sha256:ad4d7a90a92e528aadf4965d685c17dacff3df282db1121136c382dc0b6014d2"},
+    {file = "yarl-1.9.4-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:ec61d826d80fc293ed46c9dd26995921e3a82146feacd952ef0757236fc137be"},
+    {file = "yarl-1.9.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:8be9e837ea9113676e5754b43b940b50cce76d9ed7d2461df1af39a8ee674d9f"},
+    {file = "yarl-1.9.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:bef596fdaa8f26e3d66af846bbe77057237cb6e8efff8cd7cc8dff9a62278bbf"},
+    {file = "yarl-1.9.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2d47552b6e52c3319fede1b60b3de120fe83bde9b7bddad11a69fb0af7db32f1"},
+    {file = "yarl-1.9.4-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:84fc30f71689d7fc9168b92788abc977dc8cefa806909565fc2951d02f6b7d57"},
+    {file = "yarl-1.9.4-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4aa9741085f635934f3a2583e16fcf62ba835719a8b2b28fb2917bb0537c1dfa"},
+    {file = "yarl-1.9.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:206a55215e6d05dbc6c98ce598a59e6fbd0c493e2de4ea6cc2f4934d5a18d130"},
+    {file = "yarl-1.9.4-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:07574b007ee20e5c375a8fe4a0789fad26db905f9813be0f9fef5a68080de559"},
+    {file = "yarl-1.9.4-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:5a2e2433eb9344a163aced6a5f6c9222c0786e5a9e9cac2c89f0b28433f56e23"},
+    {file = "yarl-1.9.4-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:6ad6d10ed9b67a382b45f29ea028f92d25bc0bc1daf6c5b801b90b5aa70fb9ec"},
+    {file = "yarl-1.9.4-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:6fe79f998a4052d79e1c30eeb7d6c1c1056ad33300f682465e1b4e9b5a188b78"},
+    {file = "yarl-1.9.4-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:a825ec844298c791fd28ed14ed1bffc56a98d15b8c58a20e0e08c1f5f2bea1be"},
+    {file = "yarl-1.9.4-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:8619d6915b3b0b34420cf9b2bb6d81ef59d984cb0fde7544e9ece32b4b3043c3"},
+    {file = "yarl-1.9.4-cp38-cp38-win32.whl", hash = "sha256:686a0c2f85f83463272ddffd4deb5e591c98aac1897d65e92319f729c320eece"},
+    {file = "yarl-1.9.4-cp38-cp38-win_amd64.whl", hash = "sha256:a00862fb23195b6b8322f7d781b0dc1d82cb3bcac346d1e38689370cc1cc398b"},
+    {file = "yarl-1.9.4-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:604f31d97fa493083ea21bd9b92c419012531c4e17ea6da0f65cacdcf5d0bd27"},
+    {file = "yarl-1.9.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:8a854227cf581330ffa2c4824d96e52ee621dd571078a252c25e3a3b3d94a1b1"},
+    {file = "yarl-1.9.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ba6f52cbc7809cd8d74604cce9c14868306ae4aa0282016b641c661f981a6e91"},
+    {file = "yarl-1.9.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a6327976c7c2f4ee6816eff196e25385ccc02cb81427952414a64811037bbc8b"},
+    {file = "yarl-1.9.4-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8397a3817d7dcdd14bb266283cd1d6fc7264a48c186b986f32e86d86d35fbac5"},
+    {file = "yarl-1.9.4-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e0381b4ce23ff92f8170080c97678040fc5b08da85e9e292292aba67fdac6c34"},
+    {file = "yarl-1.9.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:23d32a2594cb5d565d358a92e151315d1b2268bc10f4610d098f96b147370136"},
+    {file = "yarl-1.9.4-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ddb2a5c08a4eaaba605340fdee8fc08e406c56617566d9643ad8bf6852778fc7"},
+    {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:26a1dc6285e03f3cc9e839a2da83bcbf31dcb0d004c72d0730e755b33466c30e"},
+    {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:18580f672e44ce1238b82f7fb87d727c4a131f3a9d33a5e0e82b793362bf18b4"},
+    {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:29e0f83f37610f173eb7e7b5562dd71467993495e568e708d99e9d1944f561ec"},
+    {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:1f23e4fe1e8794f74b6027d7cf19dc25f8b63af1483d91d595d4a07eca1fb26c"},
+    {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:db8e58b9d79200c76956cefd14d5c90af54416ff5353c5bfd7cbe58818e26ef0"},
+    {file = "yarl-1.9.4-cp39-cp39-win32.whl", hash = "sha256:c7224cab95645c7ab53791022ae77a4509472613e839dab722a72abe5a684575"},
+    {file = "yarl-1.9.4-cp39-cp39-win_amd64.whl", hash = "sha256:824d6c50492add5da9374875ce72db7a0733b29c2394890aef23d533106e2b15"},
+    {file = "yarl-1.9.4-py3-none-any.whl", hash = "sha256:928cecb0ef9d5a7946eb6ff58417ad2fe9375762382f1bf5c55e61645f2c43ad"},
+    {file = "yarl-1.9.4.tar.gz", hash = "sha256:566db86717cf8080b99b58b083b773a908ae40f06681e87e589a976faf8246bf"},
+]
+
+[package.dependencies]
+idna = ">=2.0"
+multidict = ">=4.0"
+
+[extras]
+all = []
+deploy = []
+local = []
+
+[metadata]
+lock-version = "2.0"
+python-versions = ">=3.10,<3.13"
+content-hash = "4f566531a8539ddc81cb91a7e7f9b723c84679f0af5bb8619f7b02f9ffc6cfaa"
diff --git a/src/backend/base/pyproject.toml b/src/backend/base/pyproject.toml
new file mode 100644
index 00000000000..66d4cadccba
--- /dev/null
+++ b/src/backend/base/pyproject.toml
@@ -0,0 +1,96 @@
+[tool.poetry]
+name = "langflow-base"
+version = "0.0.76"
+description = "A Python package with a built-in web application"
+authors = ["Langflow <contact@langflow.org>"]
+maintainers = [
+    "Carlos Coelho <carlos@langflow.org>",
+    "Cristhian Zanforlin <cristhian.lousa@gmail.com>",
+    "Gabriel Almeida <gabriel@langflow.org>",
+    "Igor Carvalho <igorr.ackerman@gmail.com>",
+    "Lucas Eduoli <lucaseduoli@gmail.com>",
+    "Otávio Anovazzi <otavio2204@gmail.com>",
+    "Rodrigo Nader <rodrigo@langflow.org>",
+]
+repository = "https://github.com/langflow-ai/langflow"
+license = "MIT"
+readme = "README.md"
+keywords = ["nlp", "langchain", "openai", "gpt", "gui"]
+packages = [{ include = "langflow" }, { include = "langflow/py.typed" }]
+include = ["pyproject.toml", "README.md", "langflow/**/*"]
+documentation = "https://docs.langflow.org"
+
+
+[tool.poetry.scripts]
+langflow-base = "langflow.__main__:main"
+
+[tool.poetry.dependencies]
+python = ">=3.10,<3.13"
+fastapi = "^0.111.0"
+httpx = "*"
+uvicorn = "^0.30.0"
+gunicorn = "^22.0.0"
+langchain = "~0.2.0"
+langchainhub = "~0.1.15"
+sqlmodel = "^0.0.18"
+loguru = "^0.7.1"
+rich = "^13.7.0"
+langchain-experimental = "*"
+pydantic = "^2.7.0"
+pydantic-settings = "^2.2.0"
+websockets = "*"
+typer = "^0.12.0"
+cachetools = "^5.3.1"
+platformdirs = "^4.2.0"
+python-multipart = "^0.0.7"
+orjson = "3.10.0"
+alembic = "^1.13.0"
+passlib = "^1.7.4"
+bcrypt = "4.0.1"
+pillow = "^10.2.0"
+docstring-parser = "^0.15"
+python-jose = "^3.3.0"
+pandas = "2.2.0"
+multiprocess = "^0.70.14"
+duckdb = "^1.0.0"
+python-docx = "^1.1.0"
+jq = { version = "^1.7.0", markers = "sys_platform != 'win32'" }
+pypdf = "^4.2.0"
+nest-asyncio = "^1.6.0"
+emoji = "^2.12.0"
+cryptography = "^42.0.5"
+asyncer = "^0.0.5"
+pyperclip = "^1.8.2"
+uncurl = "^0.0.11"
+sentry-sdk = {extras = ["fastapi", "loguru"], version = "^2.5.1"}
+chardet = "^5.2.0"
+
+
+[tool.poetry.extras]
+deploy = ["celery", "redis", "flower"]
+local = ["llama-cpp-python", "sentence-transformers", "ctransformers"]
+all = ["deploy", "local"]
+
+
+[tool.pytest.ini_options]
+minversion = "6.0"
+addopts = "-ra"
+testpaths = ["tests", "integration"]
+console_output_style = "progress"
+filterwarnings = ["ignore::DeprecationWarning"]
+log_cli = true
+markers = ["async_test"]
+
+[tool.mypy]
+namespace_packages = true
+mypy_path = "langflow"
+ignore_missing_imports = true
+
+
+[tool.ruff]
+exclude = ["src/backend/langflow/alembic/*"]
+line-length = 120
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"
diff --git a/src/backend/langflow/__init__.py b/src/backend/langflow/__init__.py
deleted file mode 100644
index 2b6dd4fb8fa..00000000000
--- a/src/backend/langflow/__init__.py
+++ /dev/null
@@ -1,16 +0,0 @@
-from importlib import metadata
-
-from langflow.interface.custom.custom_component import CustomComponent
-
-# Deactivate cache manager for now
-# from langflow.services.cache import cache_service
-from langflow.processing.load import load_flow_from_json
-
-try:
-    __version__ = metadata.version(__package__)
-except metadata.PackageNotFoundError:
-    # Case where package metadata is not available.
-    __version__ = ""
-del metadata  # optional, avoids polluting the results of dir(__package__)
-
-__all__ = ["load_flow_from_json", "CustomComponent"]
diff --git a/src/backend/langflow/__main__.py b/src/backend/langflow/__main__.py
deleted file mode 100644
index bc430e941a5..00000000000
--- a/src/backend/langflow/__main__.py
+++ /dev/null
@@ -1,381 +0,0 @@
-import platform
-import socket
-import sys
-from pathlib import Path
-from typing import Optional
-
-import typer
-from dotenv import load_dotenv
-from multiprocess import cpu_count  # type: ignore
-from rich import box
-from rich import print as rprint
-from rich.console import Console
-from rich.panel import Panel
-from rich.table import Table
-from sqlmodel import select
-
-from langflow.main import setup_app
-from langflow.services.database.utils import session_getter
-from langflow.services.deps import get_db_service, get_settings_service
-from langflow.services.utils import initialize_services, initialize_settings_service
-from langflow.utils.logger import configure, logger
-
-console = Console()
-
-app = typer.Typer(no_args_is_help=True)
-
-
-def get_number_of_workers(workers=None):
-    if workers == -1 or workers is None:
-        workers = (cpu_count() * 2) + 1
-    logger.debug(f"Number of workers: {workers}")
-    return workers
-
-
-def display_results(results):
-    """
-    Display the results of the migration.
-    """
-    for table_results in results:
-        table = Table(title=f"Migration {table_results.table_name}")
-        table.add_column("Name")
-        table.add_column("Type")
-        table.add_column("Status")
-
-        for result in table_results.results:
-            status = "Success" if result.success else "Failure"
-            color = "green" if result.success else "red"
-            table.add_row(result.name, result.type, f"[{color}]{status}[/{color}]")
-
-        console.print(table)
-        console.print()  # Print a new line
-
-
-def set_var_for_macos_issue():
-    # OBJC_DISABLE_INITIALIZE_FORK_SAFETY=YES
-    # we need to set this var is we are running on MacOS
-    # otherwise we get an error when running gunicorn
-
-    if platform.system() in ["Darwin"]:
-        import os
-
-        os.environ["OBJC_DISABLE_INITIALIZE_FORK_SAFETY"] = "YES"
-        # https://stackoverflow.com/questions/75747888/uwsgi-segmentation-fault-with-flask-python-app-behind-nginx-after-running-for-2 # noqa
-        os.environ["no_proxy"] = "*"  # to avoid error with gunicorn
-        logger.debug("Set OBJC_DISABLE_INITIALIZE_FORK_SAFETY to YES to avoid error")
-
-
-def update_settings(
-    config: str,
-    cache: Optional[str] = None,
-    dev: bool = False,
-    remove_api_keys: bool = False,
-    components_path: Optional[Path] = None,
-    store: bool = False,
-):
-    """Update the settings from a config file."""
-
-    # Check for database_url in the environment variables
-    initialize_settings_service()
-    settings_service = get_settings_service()
-    if config:
-        logger.debug(f"Loading settings from {config}")
-        settings_service.settings.update_from_yaml(config, dev=dev)
-    if remove_api_keys:
-        logger.debug(f"Setting remove_api_keys to {remove_api_keys}")
-        settings_service.settings.update_settings(REMOVE_API_KEYS=remove_api_keys)
-    if cache:
-        logger.debug(f"Setting cache to {cache}")
-        settings_service.settings.update_settings(CACHE=cache)
-    if components_path:
-        logger.debug(f"Adding component path {components_path}")
-        settings_service.settings.update_settings(COMPONENTS_PATH=components_path)
-    if not store:
-        logger.debug("Setting store to False")
-        settings_service.settings.update_settings(STORE=False)
-
-
-def version_callback(value: bool):
-    """
-    Show the version and exit.
-    """
-    from langflow import __version__
-
-    if value:
-        typer.echo(f"Langflow Version: {__version__}")
-        raise typer.Exit()
-
-
-@app.callback()
-def main_entry_point(
-    version: bool = typer.Option(
-        None,
-        "--version",
-        callback=version_callback,
-        is_eager=True,
-        help="Show the version and exit.",
-    ),
-):
-    """
-    Main entry point for the Langflow CLI.
-    """
-    pass
-
-
-@app.command()
-def run(
-    host: str = typer.Option("127.0.0.1", help="Host to bind the server to.", envvar="LANGFLOW_HOST"),
-    workers: int = typer.Option(1, help="Number of worker processes.", envvar="LANGFLOW_WORKERS"),
-    timeout: int = typer.Option(300, help="Worker timeout in seconds."),
-    port: int = typer.Option(7860, help="Port to listen on.", envvar="LANGFLOW_PORT"),
-    components_path: Optional[Path] = typer.Option(
-        Path(__file__).parent / "components",
-        help="Path to the directory containing custom components.",
-        envvar="LANGFLOW_COMPONENTS_PATH",
-    ),
-    config: str = typer.Option(Path(__file__).parent / "config.yaml", help="Path to the configuration file."),
-    # .env file param
-    env_file: Path = typer.Option(None, help="Path to the .env file containing environment variables."),
-    log_level: str = typer.Option("critical", help="Logging level.", envvar="LANGFLOW_LOG_LEVEL"),
-    log_file: Path = typer.Option("logs/langflow.log", help="Path to the log file.", envvar="LANGFLOW_LOG_FILE"),
-    cache: Optional[str] = typer.Option(
-        envvar="LANGFLOW_LANGCHAIN_CACHE",
-        help="Type of cache to use. (InMemoryCache, SQLiteCache)",
-        default=None,
-    ),
-    dev: bool = typer.Option(False, help="Run in development mode (may contain bugs)"),
-    path: str = typer.Option(
-        None,
-        help="Path to the frontend directory containing build files. This is for development purposes only.",
-        envvar="LANGFLOW_FRONTEND_PATH",
-    ),
-    open_browser: bool = typer.Option(
-        True,
-        help="Open the browser after starting the server.",
-        envvar="LANGFLOW_OPEN_BROWSER",
-    ),
-    remove_api_keys: bool = typer.Option(
-        False,
-        help="Remove API keys from the projects saved in the database.",
-        envvar="LANGFLOW_REMOVE_API_KEYS",
-    ),
-    backend_only: bool = typer.Option(
-        False,
-        help="Run only the backend server without the frontend.",
-        envvar="LANGFLOW_BACKEND_ONLY",
-    ),
-    store: bool = typer.Option(
-        True,
-        help="Enables the store features.",
-        envvar="LANGFLOW_STORE",
-    ),
-):
-    """
-    Run the Langflow.
-    """
-
-    set_var_for_macos_issue()
-    # override env variables with .env file
-
-    if env_file:
-        load_dotenv(env_file, override=True)
-
-    configure(log_level=log_level, log_file=log_file)
-    update_settings(
-        config,
-        dev=dev,
-        remove_api_keys=remove_api_keys,
-        cache=cache,
-        components_path=components_path,
-        store=store,
-    )
-    # create path object if path is provided
-    static_files_dir: Optional[Path] = Path(path) if path else None
-    app = setup_app(static_files_dir=static_files_dir, backend_only=backend_only)
-    # check if port is being used
-    if is_port_in_use(port, host):
-        port = get_free_port(port)
-
-    options = {
-        "bind": f"{host}:{port}",
-        "workers": get_number_of_workers(workers),
-        "timeout": timeout,
-    }
-
-    # Define an env variable to know if we are just testing the server
-    if "pytest" in sys.modules:
-        return
-
-    if platform.system() in ["Windows"]:
-        # Run using uvicorn on MacOS and Windows
-        # Windows doesn't support gunicorn
-        # MacOS requires an env variable to be set to use gunicorn
-        run_on_windows(host, port, log_level, options, app)
-    else:
-        # Run using gunicorn on Linux
-        run_on_mac_or_linux(host, port, log_level, options, app)
-
-
-def run_on_mac_or_linux(host, port, log_level, options, app):
-    print_banner(host, port)
-    run_langflow(host, port, log_level, options, app)
-
-
-def run_on_windows(host, port, log_level, options, app):
-    """
-    Run the Langflow server on Windows.
-    """
-    print_banner(host, port)
-    run_langflow(host, port, log_level, options, app)
-
-
-def is_port_in_use(port, host="localhost"):
-    """
-    Check if a port is in use.
-
-    Args:
-        port (int): The port number to check.
-        host (str): The host to check the port on. Defaults to 'localhost'.
-
-    Returns:
-        bool: True if the port is in use, False otherwise.
-    """
-    with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
-        return s.connect_ex((host, port)) == 0
-
-
-def get_free_port(port):
-    """
-    Given a used port, find a free port.
-
-    Args:
-        port (int): The port number to check.
-
-    Returns:
-        int: A free port number.
-    """
-    while is_port_in_use(port):
-        port += 1
-    return port
-
-
-def print_banner(host, port):
-    # console = Console()
-
-    word = "Langflow"
-    colors = ["#3300cc"]
-
-    styled_word = ""
-
-    for i, char in enumerate(word):
-        color = colors[i % len(colors)]
-        styled_word += f"[{color}]{char}[/]"
-
-    # Title with emojis and gradient text
-    title = (
-        f"[bold]Welcome to :chains: {styled_word} [/bold]\n\n"
-        f"Access [link=http://{host}:{port}]http://{host}:{port}[/link]"
-    )
-    info_text = (
-        "Collaborate, and contribute at our "
-        "[bold][link=https://github.com/logspace-ai/langflow]GitHub Repo[/link][/bold] :rocket:"
-    )
-
-    # Create a panel with the title and the info text, and a border around it
-    panel = Panel(f"{title}\n{info_text}", box=box.ROUNDED, border_style="blue", expand=False)
-
-    # Print the banner with a separator line before and after
-    rprint(panel)
-
-
-def run_langflow(host, port, log_level, options, app):
-    """
-    Run Langflow server on localhost
-    """
-    try:
-        if platform.system() in ["Windows", "Darwin"]:
-            # Run using uvicorn on MacOS and Windows
-            # Windows doesn't support gunicorn
-            # MacOS requires an env variable to be set to use gunicorn
-
-            import uvicorn
-
-            uvicorn.run(
-                app,
-                host=host,
-                port=port,
-                log_level=log_level,
-            )
-        else:
-            from langflow.server import LangflowApplication
-
-            LangflowApplication(app, options).run()
-    except KeyboardInterrupt:
-        logger.info("Shutting down server")
-        sys.exit(0)
-    except Exception as e:
-        logger.exception(e)
-        sys.exit(1)
-
-
-@app.command()
-def superuser(
-    username: str = typer.Option(..., prompt=True, help="Username for the superuser."),
-    password: str = typer.Option(..., prompt=True, hide_input=True, help="Password for the superuser."),
-    log_level: str = typer.Option("critical", help="Logging level.", envvar="LANGFLOW_LOG_LEVEL"),
-):
-    """
-    Create a superuser.
-    """
-    configure(log_level=log_level)
-    initialize_services()
-    db_service = get_db_service()
-    with session_getter(db_service) as session:
-        from langflow.services.auth.utils import create_super_user
-
-        if create_super_user(db=session, username=username, password=password):
-            # Verify that the superuser was created
-            from langflow.services.database.models.user.model import User
-
-            user: User = session.exec(select(User).where(User.username == username)).first()
-            if user is None or not user.is_superuser:
-                typer.echo("Superuser creation failed.")
-                return
-
-            typer.echo("Superuser created successfully.")
-
-        else:
-            typer.echo("Superuser creation failed.")
-
-
-@app.command()
-def migration(
-    test: bool = typer.Option(True, help="Run migrations in test mode."),
-    fix: bool = typer.Option(
-        False,
-        help="Fix migrations. This is a destructive operation, and should only be used if you know what you are doing.",
-    ),
-):
-    """
-    Run or test migrations.
-    """
-    if fix:
-        if not typer.confirm(
-            "This will delete all data necessary to fix migrations. Are you sure you want to continue?"
-        ):
-            raise typer.Abort()
-
-    initialize_services(fix_migration=fix)
-    db_service = get_db_service()
-    if not test:
-        db_service.run_migrations()
-    results = db_service.run_migrations_test()
-    display_results(results)
-
-
-def main():
-    app()
-
-
-if __name__ == "__main__":
-    main()
diff --git a/src/backend/langflow/alembic/env.py b/src/backend/langflow/alembic/env.py
deleted file mode 100644
index 479db05bb95..00000000000
--- a/src/backend/langflow/alembic/env.py
+++ /dev/null
@@ -1,88 +0,0 @@
-import os
-from logging.config import fileConfig
-
-from alembic import context
-from loguru import logger
-from sqlalchemy import engine_from_config, pool
-
-from langflow.services.database.models import *  # noqa
-from langflow.services.database.service import SQLModel
-
-# this is the Alembic Config object, which provides
-# access to the values within the .ini file in use.
-config = context.config
-
-# Interpret the config file for Python logging.
-# This line sets up loggers basically.
-if config.config_file_name is not None:
-    fileConfig(config.config_file_name)
-
-# add your model's MetaData object here
-# for 'autogenerate' support
-# from myapp import mymodel
-# target_metadata = mymodel.Base.metadata
-target_metadata = SQLModel.metadata
-
-# other values from the config, defined by the needs of env.py,
-# can be acquired:
-# my_important_option = config.get_main_option("my_important_option")
-# ... etc.
-
-
-def run_migrations_offline() -> None:
-    """Run migrations in 'offline' mode.
-
-    This configures the context with just a URL
-    and not an Engine, though an Engine is acceptable
-    here as well.  By skipping the Engine creation
-    we don't even need a DBAPI to be available.
-
-    Calls to context.execute() here emit the given string to the
-    script output.
-
-    """
-    url = os.getenv("LANGFLOW_DATABASE_URL")
-    url = url or config.get_main_option("sqlalchemy.url")
-    context.configure(
-        url=url,
-        target_metadata=target_metadata,
-        literal_binds=True,
-        dialect_opts={"paramstyle": "named"},
-        render_as_batch=True,
-    )
-
-    with context.begin_transaction():
-        context.run_migrations()
-
-
-def run_migrations_online() -> None:
-    """Run migrations in 'online' mode.
-
-    In this scenario we need to create an Engine
-    and associate a connection with the context.
-
-    """
-    from langflow.services.deps import get_db_service
-
-    try:
-        connectable = get_db_service().engine
-    except Exception as e:
-        logger.error(f"Error getting database engine: {e}")
-        connectable = engine_from_config(
-            config.get_section(config.config_ini_section, {}),
-            prefix="sqlalchemy.",
-            poolclass=pool.NullPool,
-        )
-    with connectable.connect() as connection:
-        context.configure(
-            connection=connection, target_metadata=target_metadata, render_as_batch=True
-        )
-
-        with context.begin_transaction():
-            context.run_migrations()
-
-
-if context.is_offline_mode():
-    run_migrations_offline()
-else:
-    run_migrations_online()
diff --git a/src/backend/langflow/alembic/versions/7d2162acc8b2_adds_updated_at_and_folder_cols.py b/src/backend/langflow/alembic/versions/7d2162acc8b2_adds_updated_at_and_folder_cols.py
deleted file mode 100644
index 5ed929568f2..00000000000
--- a/src/backend/langflow/alembic/versions/7d2162acc8b2_adds_updated_at_and_folder_cols.py
+++ /dev/null
@@ -1,78 +0,0 @@
-"""Adds updated_at and folder cols
-
-Revision ID: 7d2162acc8b2
-Revises: f5ee9749d1a6
-Create Date: 2023-11-21 20:56:53.998781
-
-"""
-
-from typing import Sequence, Union
-
-import sqlalchemy as sa
-import sqlmodel
-from alembic import op
-from sqlalchemy.engine.reflection import Inspector
-
-# revision identifiers, used by Alembic.
-revision: str = "7d2162acc8b2"
-down_revision: Union[str, None] = "f5ee9749d1a6"
-branch_labels: Union[str, Sequence[str], None] = None
-depends_on: Union[str, Sequence[str], None] = None
-
-
-def upgrade() -> None:
-    # ### commands auto generated by Alembic - please adjust! ###
-    conn = op.get_bind()
-    inspector = Inspector.from_engine(conn)  # type: ignore
-    api_key_columns = [column["name"] for column in inspector.get_columns("apikey")]
-    flow_columns = [column["name"] for column in inspector.get_columns("flow")]
-
-    try:
-        if "name" in api_key_columns:
-            with op.batch_alter_table("apikey", schema=None) as batch_op:
-                batch_op.alter_column(
-                    "name", existing_type=sa.VARCHAR(), nullable=False
-                )
-    except Exception as e:
-        print(e)
-
-        pass
-    try:
-        with op.batch_alter_table("flow", schema=None) as batch_op:
-            if "updated_at" not in flow_columns:
-                batch_op.add_column(
-                    sa.Column("updated_at", sa.DateTime(), nullable=True)
-                )
-            if "folder" not in flow_columns:
-                batch_op.add_column(
-                    sa.Column(
-                        "folder", sqlmodel.sql.sqltypes.AutoString(), nullable=True
-                    )
-                )
-    except Exception as e:
-        print(e)
-
-        pass
-
-    # ### end Alembic commands ###
-
-
-def downgrade() -> None:
-    # ### commands auto generated by Alembic - please adjust! ###
-    try:
-        with op.batch_alter_table("flow", schema=None) as batch_op:
-            batch_op.drop_column("folder")
-            batch_op.drop_column("updated_at")
-    except Exception as e:
-        print(e)
-        pass
-
-    try:
-
-        with op.batch_alter_table("apikey", schema=None) as batch_op:
-            batch_op.alter_column("name", existing_type=sa.VARCHAR(), nullable=True)
-    except Exception as e:
-        print(e)
-        pass
-
-    # ### end Alembic commands ###
diff --git a/src/backend/langflow/alembic/versions/bc804d8e7a18_fix_types.py b/src/backend/langflow/alembic/versions/bc804d8e7a18_fix_types.py
deleted file mode 100644
index 1b29b088fab..00000000000
--- a/src/backend/langflow/alembic/versions/bc804d8e7a18_fix_types.py
+++ /dev/null
@@ -1,91 +0,0 @@
-"""Fix types
-
-Revision ID: bc804d8e7a18
-Revises: bc2f01c40e4a
-Create Date: 2024-04-22 19:33:02.242116
-
-"""
-from typing import Sequence, Union
-
-import sqlalchemy as sa
-from alembic import op
-from sqlalchemy.dialects import postgresql
-from sqlalchemy.engine.reflection import Inspector
-
-# revision identifiers, used by Alembic.
-revision: str = 'bc804d8e7a18'
-down_revision: Union[str, None] = 'bc2f01c40e4a'
-branch_labels: Union[str, Sequence[str], None] = None
-depends_on: Union[str, Sequence[str], None] = None
-
-
-def upgrade() -> None:
-    conn = op.get_bind()
-    inspector = Inspector.from_engine(conn)  # type: ignore
-    # ### commands auto generated by Alembic - please adjust! ###
-    table_names = inspector.get_table_names()
-    if "apikey" in table_names:
-       column_names = [col["name"] for col in inspector.get_columns("apikey")]
-       with op.batch_alter_table('apikey', schema=None) as batch_op:
-              if "created_at" in column_names:
-                     batch_op.alter_column('created_at',
-                            existing_type=postgresql.TIMESTAMP(),
-                            type_=sa.DateTime(timezone=True),
-                            nullable=True)
-              if "last_used_at" in column_names:
-                     batch_op.alter_column('last_used_at',
-                            existing_type=postgresql.TIMESTAMP(),
-                            type_=sa.DateTime(timezone=True),
-                            existing_nullable=True)
-
-       if "credential" in table_names:
-              column_names = [col["name"] for col in inspector.get_columns("credential")]
-              with op.batch_alter_table('credential', schema=None) as batch_op:
-                     if "created_at" in column_names:
-                            batch_op.alter_column('created_at',
-                                   existing_type=postgresql.TIMESTAMP(),
-                                   type_=sa.DateTime(timezone=True),
-                                   nullable=True)
-                     if "updated_at" in column_names:
-                            batch_op.alter_column('updated_at',
-                                   existing_type=postgresql.TIMESTAMP(),
-                                   type_=sa.DateTime(timezone=True),
-                                   existing_nullable=True)
-
-    # ### end Alembic commands ###
-
-
-def downgrade() -> None:
-       conn = op.get_bind()
-       inspector = Inspector.from_engine(conn)  # type: ignore
-       # ### commands auto generated by Alembic - please adjust! ###
-       table_names = inspector.get_table_names()
-       if "credential" in table_names:
-              column_names = [col["name"] for col in inspector.get_columns("credential")]
-              with op.batch_alter_table('credential', schema=None) as batch_op:
-                     if "updated_at" in column_names:
-                            batch_op.alter_column('updated_at',
-                                   existing_type=sa.DateTime(timezone=True),
-                                   type_=postgresql.TIMESTAMP(),
-                                   existing_nullable=True)
-                     if "created_at" in column_names:
-                            batch_op.alter_column('created_at',
-                                   existing_type=sa.DateTime(timezone=True),
-                                   type_=postgresql.TIMESTAMP(),
-                                   nullable=False)
-
-       if "apikey" in table_names:
-              column_names = [col["name"] for col in inspector.get_columns("apikey")]
-              with op.batch_alter_table('apikey', schema=None) as batch_op:
-                     if "last_used_at" in column_names:
-                            batch_op.alter_column('last_used_at',
-                                   existing_type=sa.DateTime(timezone=True),
-                                   type_=postgresql.TIMESTAMP(),
-                                   existing_nullable=True)
-                     if "created_at" in column_names:
-                            batch_op.alter_column('created_at',
-                                   existing_type=sa.DateTime(timezone=True),
-                                   type_=postgresql.TIMESTAMP(),
-                                   nullable=False)
-
-    # ### end Alembic commands ###
diff --git a/src/backend/langflow/api/router.py b/src/backend/langflow/api/router.py
deleted file mode 100644
index 24d64b40130..00000000000
--- a/src/backend/langflow/api/router.py
+++ /dev/null
@@ -1,27 +0,0 @@
-# Router for base api
-from fastapi import APIRouter
-
-from langflow.api.v1 import (
-    api_key_router,
-    chat_router,
-    credentials_router,
-    endpoints_router,
-    flows_router,
-    login_router,
-    store_router,
-    users_router,
-    validate_router,
-)
-
-router = APIRouter(
-    prefix="/api/v1",
-)
-router.include_router(chat_router)
-router.include_router(endpoints_router)
-router.include_router(validate_router)
-router.include_router(store_router)
-router.include_router(flows_router)
-router.include_router(users_router)
-router.include_router(api_key_router)
-router.include_router(login_router)
-router.include_router(credentials_router)
diff --git a/src/backend/langflow/api/utils.py b/src/backend/langflow/api/utils.py
deleted file mode 100644
index 141c7922901..00000000000
--- a/src/backend/langflow/api/utils.py
+++ /dev/null
@@ -1,189 +0,0 @@
-import warnings
-from pathlib import Path
-from typing import TYPE_CHECKING, List
-
-from fastapi import HTTPException
-from platformdirs import user_cache_dir
-
-from langflow.services.store.schema import StoreComponentCreate
-from langflow.services.store.utils import get_lf_version_from_pypi
-
-if TYPE_CHECKING:
-    from langflow.services.database.models.flow.model import Flow
-
-
-API_WORDS = ["api", "key", "token"]
-
-
-def has_api_terms(word: str):
-    return "api" in word and ("key" in word or ("token" in word and "tokens" not in word))
-
-
-def remove_api_keys(flow: dict):
-    """Remove api keys from flow data."""
-    if flow.get("data") and flow["data"].get("nodes"):
-        for node in flow["data"]["nodes"]:
-            node_data = node.get("data").get("node")
-            template = node_data.get("template")
-            for value in template.values():
-                if isinstance(value, dict) and has_api_terms(value["name"]) and value.get("password"):
-                    value["value"] = None
-
-    return flow
-
-
-def build_input_keys_response(langchain_object, artifacts):
-    """Build the input keys response."""
-
-    input_keys_response = {
-        "input_keys": {key: "" for key in langchain_object.input_keys},
-        "memory_keys": [],
-        "handle_keys": artifacts.get("handle_keys", []),
-    }
-
-    # Set the input keys values from artifacts
-    for key, value in artifacts.items():
-        if key in input_keys_response["input_keys"]:
-            input_keys_response["input_keys"][key] = value
-    # If the object has memory, that memory will have a memory_variables attribute
-    # memory variables should be removed from the input keys
-    if hasattr(langchain_object, "memory") and hasattr(langchain_object.memory, "memory_variables"):
-        # Remove memory variables from input keys
-        input_keys_response["input_keys"] = {
-            key: value
-            for key, value in input_keys_response["input_keys"].items()
-            if key not in langchain_object.memory.memory_variables
-        }
-        # Add memory variables to memory_keys
-        input_keys_response["memory_keys"] = langchain_object.memory.memory_variables
-
-    if hasattr(langchain_object, "prompt") and hasattr(langchain_object.prompt, "template"):
-        input_keys_response["template"] = langchain_object.prompt.template
-
-    return input_keys_response
-
-
-def update_frontend_node_with_template_values(frontend_node, raw_frontend_node):
-    """
-    Updates the given frontend node with values from the raw template data.
-
-    :param frontend_node: A dict representing a built frontend node.
-    :param raw_template_data: A dict representing raw template data.
-    :return: Updated frontend node.
-    """
-    if not is_valid_data(frontend_node, raw_frontend_node):
-        return frontend_node
-
-    # Check if the display_name is different than "CustomComponent"
-    # if so, update the display_name in the frontend_node
-    if raw_frontend_node["display_name"] != "CustomComponent":
-        frontend_node["display_name"] = raw_frontend_node["display_name"]
-
-    update_template_values(frontend_node["template"], raw_frontend_node["template"])
-
-    return frontend_node
-
-
-def raw_frontend_data_is_valid(raw_frontend_data):
-    """Check if the raw frontend data is valid for processing."""
-    return "template" in raw_frontend_data and "display_name" in raw_frontend_data
-
-
-def is_valid_data(frontend_node, raw_frontend_data):
-    """Check if the data is valid for processing."""
-
-    return frontend_node and "template" in frontend_node and raw_frontend_data_is_valid(raw_frontend_data)
-
-
-def update_template_values(frontend_template, raw_template):
-    """Updates the frontend template with values from the raw template."""
-    for key, value_dict in raw_template.items():
-        if key == "code" or not isinstance(value_dict, dict):
-            continue
-
-        update_template_field(frontend_template, key, value_dict)
-
-
-def update_template_field(frontend_template, key, value_dict):
-    """Updates a specific field in the frontend template."""
-    template_field = frontend_template.get(key)
-    if not template_field or template_field.get("type") != value_dict.get("type"):
-        return
-
-    if "value" in value_dict and value_dict["value"]:
-        template_field["value"] = value_dict["value"]
-
-    if "file_path" in value_dict and value_dict["file_path"]:
-        file_path_value = get_file_path_value(value_dict["file_path"])
-        if not file_path_value:
-            # If the file does not exist, remove the value from the template_field["value"]
-            template_field["value"] = ""
-        template_field["file_path"] = file_path_value
-
-
-def get_file_path_value(file_path):
-    """Get the file path value if the file exists, else return empty string."""
-    try:
-        path = Path(file_path)
-    except TypeError:
-        return ""
-
-    # Check for safety
-    # If the path is not in the cache dir, return empty string
-    # This is to prevent access to files outside the cache dir
-    # If the path is not a file, return empty string
-    if not path.exists() or not str(path).startswith(user_cache_dir("langflow", "langflow")):
-        return ""
-    return file_path
-
-
-def validate_is_component(flows: List["Flow"]):
-    for flow in flows:
-        if not flow.data or flow.is_component is not None:
-            continue
-
-        is_component = get_is_component_from_data(flow.data)
-        if is_component is not None:
-            flow.is_component = is_component
-        else:
-            flow.is_component = len(flow.data.get("nodes", [])) == 1
-    return flows
-
-
-def get_is_component_from_data(data: dict):
-    """Returns True if the data is a component."""
-    return data.get("is_component")
-
-
-async def check_langflow_version(component: StoreComponentCreate):
-    from langflow import __version__ as current_version
-
-    if not component.last_tested_version:
-        component.last_tested_version = current_version
-
-    langflow_version = get_lf_version_from_pypi()
-    if langflow_version is None:
-        raise HTTPException(status_code=500, detail="Unable to verify the latest version of Langflow")
-    elif langflow_version != component.last_tested_version:
-        warnings.warn(
-            f"Your version of Langflow ({component.last_tested_version}) is outdated. "
-            f"Please update to the latest version ({langflow_version}) and try again."
-        )
-
-
-def format_elapsed_time(elapsed_time) -> str:
-    # Format elapsed time to human readable format coming from
-    # perf_counter()
-    # If the elapsed time is less than 1 second, return ms
-    # If the elapsed time is less than 1 minute, return seconds rounded to 2 decimals
-    time_str = ""
-    if elapsed_time < 1:
-        elapsed_time = int(round(elapsed_time * 1000))
-        time_str = f"{elapsed_time} ms"
-    elif elapsed_time < 60:
-        elapsed_time = round(elapsed_time, 2)
-        time_str = f"{elapsed_time} seconds"
-    else:
-        elapsed_time = round(elapsed_time / 60, 2)
-        time_str = f"{elapsed_time} minutes"
-    return time_str
diff --git a/src/backend/langflow/api/v1/__init__.py b/src/backend/langflow/api/v1/__init__.py
deleted file mode 100644
index 6368a0cc8f5..00000000000
--- a/src/backend/langflow/api/v1/__init__.py
+++ /dev/null
@@ -1,21 +0,0 @@
-from langflow.api.v1.api_key import router as api_key_router
-from langflow.api.v1.chat import router as chat_router
-from langflow.api.v1.credential import router as credentials_router
-from langflow.api.v1.endpoints import router as endpoints_router
-from langflow.api.v1.flows import router as flows_router
-from langflow.api.v1.login import router as login_router
-from langflow.api.v1.store import router as store_router
-from langflow.api.v1.users import router as users_router
-from langflow.api.v1.validate import router as validate_router
-
-__all__ = [
-    "chat_router",
-    "endpoints_router",
-    "store_router",
-    "validate_router",
-    "flows_router",
-    "users_router",
-    "api_key_router",
-    "login_router",
-    "credentials_router",
-]
diff --git a/src/backend/langflow/api/v1/base.py b/src/backend/langflow/api/v1/base.py
deleted file mode 100644
index 01e4e9c79a4..00000000000
--- a/src/backend/langflow/api/v1/base.py
+++ /dev/null
@@ -1,160 +0,0 @@
-from typing import Optional
-
-from langchain.prompts import PromptTemplate
-from pydantic import BaseModel, field_validator, model_serializer
-
-from langflow.interface.utils import extract_input_variables_from_prompt
-from langflow.template.frontend_node.base import FrontendNode
-
-
-class CacheResponse(BaseModel):
-    data: dict
-
-
-class Code(BaseModel):
-    code: str
-
-
-class FrontendNodeRequest(FrontendNode):
-    template: dict  # type: ignore
-
-    @model_serializer(mode="wrap")
-    def serialize_model(self, handler):
-        # Override the default serialization method in FrontendNode
-        # because we don't need the name in the response (i.e. {name: {}})
-        return handler(self)
-
-
-class ValidatePromptRequest(BaseModel):
-    name: str
-    template: str
-    # optional for tweak call
-    frontend_node: Optional[FrontendNodeRequest] = None
-
-
-# Build ValidationResponse class for {"imports": {"errors": []}, "function": {"errors": []}}
-class CodeValidationResponse(BaseModel):
-    imports: dict
-    function: dict
-
-    @field_validator("imports")
-    @classmethod
-    def validate_imports(cls, v):
-        return v or {"errors": []}
-
-    @field_validator("function")
-    @classmethod
-    def validate_function(cls, v):
-        return v or {"errors": []}
-
-
-class PromptValidationResponse(BaseModel):
-    input_variables: list
-    # object return for tweak call
-    frontend_node: Optional[FrontendNodeRequest] = None
-
-
-INVALID_CHARACTERS = {
-    " ",
-    ",",
-    ".",
-    ":",
-    ";",
-    "!",
-    "?",
-    "/",
-    "\\",
-    "(",
-    ")",
-    "[",
-    "]",
-    "{",
-    "}",
-}
-
-INVALID_NAMES = {
-    "input_variables",
-    "output_parser",
-    "partial_variables",
-    "template",
-    "template_format",
-    "validate_template",
-}
-
-
-def validate_prompt(template: str):
-    input_variables = extract_input_variables_from_prompt(template)
-
-    # Check if there are invalid characters in the input_variables
-    input_variables = check_input_variables(input_variables)
-    if any(var in INVALID_NAMES for var in input_variables):
-        raise ValueError(f"Invalid input variables. None of the variables can be named {', '.join(input_variables)}. ")
-
-    try:
-        PromptTemplate(template=template, input_variables=input_variables)
-    except Exception as exc:
-        raise ValueError(str(exc)) from exc
-
-    return input_variables
-
-
-def check_input_variables(input_variables: list):
-    invalid_chars = []
-    fixed_variables = []
-    wrong_variables = []
-    empty_variables = []
-    for variable in input_variables:
-        new_var = variable
-
-        # if variable is empty, then we should add that to the wrong variables
-        if not variable:
-            empty_variables.append(variable)
-            continue
-
-        # if variable starts with a number we should add that to the invalid chars
-        # and wrong variables
-        if variable[0].isdigit():
-            invalid_chars.append(variable[0])
-            new_var = new_var.replace(variable[0], "")
-            wrong_variables.append(variable)
-        else:
-            for char in INVALID_CHARACTERS:
-                if char in variable:
-                    invalid_chars.append(char)
-                    new_var = new_var.replace(char, "")
-                    wrong_variables.append(variable)
-        fixed_variables.append(new_var)
-    # If any of the input_variables is not in the fixed_variables, then it means that
-    # there are invalid characters in the input_variables
-
-    if any(var not in fixed_variables for var in input_variables):
-        error_message = build_error_message(
-            input_variables,
-            invalid_chars,
-            wrong_variables,
-            fixed_variables,
-            empty_variables,
-        )
-        raise ValueError(error_message)
-    return input_variables
-
-
-def build_error_message(input_variables, invalid_chars, wrong_variables, fixed_variables, empty_variables):
-    input_variables_str = ", ".join([f"'{var}'" for var in input_variables])
-    error_string = f"Invalid input variables: {input_variables_str}. "
-
-    if wrong_variables and invalid_chars:
-        # fix the wrong variables replacing invalid chars and find them in the fixed variables
-        error_string_vars = "You can fix them by replacing the invalid characters: "
-        wvars = wrong_variables.copy()
-        for i, wrong_var in enumerate(wvars):
-            for char in invalid_chars:
-                wrong_var = wrong_var.replace(char, "")
-            if wrong_var in fixed_variables:
-                error_string_vars += f"'{wrong_variables[i]}' -> '{wrong_var}'"
-        error_string += error_string_vars
-    elif empty_variables:
-        error_string += f" There are {len(empty_variables)} empty variable{'s' if len(empty_variables) > 1 else ''}."
-    elif len(set(fixed_variables)) != len(fixed_variables):
-        error_string += "There are duplicate variables."
-    return error_string
diff --git a/src/backend/langflow/api/v1/callback.py b/src/backend/langflow/api/v1/callback.py
deleted file mode 100644
index f9be5d56cac..00000000000
--- a/src/backend/langflow/api/v1/callback.py
+++ /dev/null
@@ -1,134 +0,0 @@
-import asyncio
-from typing import Any, Dict, List, Optional
-from uuid import UUID
-
-from langchain.schema import AgentAction, AgentFinish
-from langchain_core.callbacks.base import AsyncCallbackHandler, BaseCallbackHandler
-from langflow.api.v1.schemas import ChatResponse, PromptResponse
-from langflow.services.deps import get_chat_service
-from langflow.utils.util import remove_ansi_escape_codes
-from loguru import logger
-
-
-# https://github.com/hwchase17/chat-langchain/blob/master/callback.py
-class AsyncStreamingLLMCallbackHandler(AsyncCallbackHandler):
-    """Callback handler for streaming LLM responses."""
-
-    @property
-    def ignore_chain(self) -> bool:
-        """Whether to ignore chain callbacks."""
-        return False
-
-    def __init__(self, client_id: str):
-        self.chat_service = get_chat_service()
-        self.client_id = client_id
-        self.websocket = self.chat_service.active_connections[self.client_id]
-
-    async def on_llm_new_token(self, token: str, **kwargs: Any) -> None:
-        resp = ChatResponse(message=token, type="stream", intermediate_steps="")
-        await self.websocket.send_json(resp.model_dump())
-
-    async def on_tool_start(self, serialized: Dict[str, Any], input_str: str, **kwargs: Any) -> Any:
-        """Run when tool starts running."""
-        resp = ChatResponse(
-            message="",
-            type="stream",
-            intermediate_steps=f"Tool input: {input_str}",
-        )
-        await self.websocket.send_json(resp.model_dump())
-
-    async def on_tool_end(self, output: str, **kwargs: Any) -> Any:
-        """Run when tool ends running."""
-        observation_prefix = kwargs.get("observation_prefix", "Tool output: ")
-        split_output = output.split()
-        first_word = split_output[0]
-        rest_of_output = split_output[1:]
-        # Create a formatted message.
-        intermediate_steps = f"{observation_prefix}{first_word}"
-
-        # Create a ChatResponse instance.
-        resp = ChatResponse(
-            message="",
-            type="stream",
-            intermediate_steps=intermediate_steps,
-        )
-        rest_of_resps = [
-            ChatResponse(
-                message="",
-                type="stream",
-                intermediate_steps=f"{word}",
-            )
-            for word in rest_of_output
-        ]
-        resps = [resp] + rest_of_resps
-        # Try to send the response, handle potential errors.
-
-        try:
-            # This is to emulate the stream of tokens
-            for resp in resps:
-                await self.websocket.send_json(resp.model_dump())
-        except Exception as exc:
-            logger.error(f"Error sending response: {exc}")
-
-    async def on_tool_error(
-        self,
-        error: BaseException,
-        *,
-        run_id: UUID,
-        parent_run_id: Optional[UUID] = None,
-        tags: Optional[List[str]] = None,
-        **kwargs: Any,
-    ) -> None:
-        """Run when tool errors."""
-
-    async def on_text(self, text: str, **kwargs: Any) -> Any:
-        """Run on arbitrary text."""
-        # This runs when first sending the prompt
-        # to the LLM, adding it will send the final prompt
-        # to the frontend
-        if "Prompt after formatting" in text:
-            text = text.replace("Prompt after formatting:\n", "")
-            text = remove_ansi_escape_codes(text)
-            resp = PromptResponse(
-                prompt=text,
-            )
-            await self.websocket.send_json(resp.model_dump())
-            self.chat_service.chat_history.add_message(self.client_id, resp)
-
-    async def on_agent_action(self, action: AgentAction, **kwargs: Any):
-        log = f"Thought: {action.log}"
-        # if there are line breaks, split them and send them
-        # as separate messages
-        if "\n" in log:
-            logs = log.split("\n")
-            for log in logs:
-                resp = ChatResponse(message="", type="stream", intermediate_steps=log)
-                await self.websocket.send_json(resp.model_dump())
-        else:
-            resp = ChatResponse(message="", type="stream", intermediate_steps=log)
-            await self.websocket.send_json(resp.model_dump())
-
-    async def on_agent_finish(self, finish: AgentFinish, **kwargs: Any) -> Any:
-        """Run on agent end."""
-        resp = ChatResponse(
-            message="",
-            type="stream",
-            intermediate_steps=finish.log,
-        )
-        await self.websocket.send_json(resp.model_dump())
-
-
-class StreamingLLMCallbackHandler(BaseCallbackHandler):
-    """Callback handler for streaming LLM responses."""
-
-    def __init__(self, client_id: str):
-        self.chat_service = get_chat_service()
-        self.client_id = client_id
-        self.websocket = self.chat_service.active_connections[self.client_id]
-
-    def on_llm_new_token(self, token: str, **kwargs: Any) -> None:
-        resp = ChatResponse(message=token, type="stream", intermediate_steps="")
-
-        loop = asyncio.get_event_loop()
-        coroutine = self.websocket.send_json(resp.model_dump())
-        asyncio.run_coroutine_threadsafe(coroutine, loop)
diff --git a/src/backend/langflow/api/v1/chat.py b/src/backend/langflow/api/v1/chat.py
deleted file mode 100644
index b909a0209ac..00000000000
--- a/src/backend/langflow/api/v1/chat.py
+++ /dev/null
@@ -1,245 +0,0 @@
-import time
-
-from fastapi import (
-    APIRouter,
-    Depends,
-    HTTPException,
-    WebSocket,
-    WebSocketException,
-    status,
-)
-from fastapi.responses import StreamingResponse
-from loguru import logger
-from sqlmodel import Session
-
-from langflow.api.utils import build_input_keys_response, format_elapsed_time
-from langflow.api.v1.schemas import BuildStatus, BuiltResponse, InitResponse, StreamData
-from langflow.graph.graph.base import Graph
-from langflow.services.auth.utils import (
-    get_current_active_user,
-    get_current_user_for_websocket,
-)
-from langflow.services.cache.service import BaseCacheService
-from langflow.services.cache.utils import update_build_status
-from langflow.services.chat.service import ChatService
-from langflow.services.deps import get_cache_service, get_chat_service, get_session
-
-router = APIRouter(tags=["Chat"])
-
-
-@router.websocket("/chat/{client_id}")
-async def chat(
-    client_id: str,
-    websocket: WebSocket,
-    db: Session = Depends(get_session),
-    chat_service: "ChatService" = Depends(get_chat_service),
-):
-    """Websocket endpoint for chat."""
-    try:
-        user = await get_current_user_for_websocket(websocket, db)
-        await websocket.accept()
-        if not user:
-            await websocket.close(code=status.WS_1008_POLICY_VIOLATION, reason="Unauthorized")
-        elif not user.is_active:
-            await websocket.close(code=status.WS_1008_POLICY_VIOLATION, reason="Unauthorized")
-
-        if client_id in chat_service.cache_service:
-            await chat_service.handle_websocket(client_id, websocket)
-        else:
-            # We accept the connection but close it immediately
-            # if the flow is not built yet
-            message = "Please, build the flow before sending messages"
-            await websocket.close(code=status.WS_1011_INTERNAL_ERROR, reason=message)
-    except WebSocketException as exc:
-        logger.error(f"Websocket exrror: {exc}")
-        await websocket.close(code=status.WS_1011_INTERNAL_ERROR, reason=str(exc))
-    except Exception as exc:
-        logger.error(f"Error in chat websocket: {exc}")
-        messsage = exc.detail if isinstance(exc, HTTPException) else str(exc)
-        if "Could not validate credentials" in str(exc):
-            await websocket.close(code=status.WS_1008_POLICY_VIOLATION, reason="Unauthorized")
-        else:
-            await websocket.close(code=status.WS_1011_INTERNAL_ERROR, reason=messsage)
-
-
-@router.post("/build/init/{flow_id}", response_model=InitResponse, status_code=201)
-async def init_build(
-    graph_data: dict,
-    flow_id: str,
-    current_user=Depends(get_current_active_user),
-    chat_service: "ChatService" = Depends(get_chat_service),
-    cache_service: "BaseCacheService" = Depends(get_cache_service),
-):
-    """Initialize the build by storing graph data and returning a unique session ID."""
-    try:
-        if flow_id is None:
-            raise ValueError("No ID provided")
-        # Check if already building
-        if (
-            flow_id in cache_service
-            and isinstance(cache_service[flow_id], dict)
-            and cache_service[flow_id].get("status") == BuildStatus.IN_PROGRESS
-        ):
-            return InitResponse(flowId=flow_id)
-
-        # Delete from cache if already exists
-        if flow_id in chat_service.cache_service:
-            chat_service.cache_service.delete(flow_id)
-            logger.debug(f"Deleted flow {flow_id} from cache")
-        cache_service[flow_id] = {
-            "graph_data": graph_data,
-            "status": BuildStatus.STARTED,
-            "user_id": current_user.id,
-        }
-
-        return InitResponse(flowId=flow_id)
-    except Exception as exc:
-        logger.error(f"Error initializing build: {exc}")
-        return HTTPException(status_code=500, detail=str(exc))
-
-
-@router.get("/build/{flow_id}/status", response_model=BuiltResponse)
-async def build_status(flow_id: str, cache_service: "BaseCacheService" = Depends(get_cache_service)):
-    """Check the flow_id is in the cache_service."""
-    try:
-        built = flow_id in cache_service and cache_service[flow_id]["status"] == BuildStatus.SUCCESS
-
-        return BuiltResponse(
-            built=built,
-        )
-
-    except Exception as exc:
-        logger.error(f"Error checking build status: {exc}")
-        return HTTPException(status_code=500, detail=str(exc))
-
-
-@router.get("/build/stream/{flow_id}", response_class=StreamingResponse)
-async def stream_build(
-    flow_id: str,
-    chat_service: "ChatService" = Depends(get_chat_service),
-    cache_service: "BaseCacheService" = Depends(get_cache_service),
-):
-    """Stream the build process based on stored flow data."""
-
-    async def event_stream(flow_id):
-        final_response = {"end_of_stream": True}
-        artifacts = {}
-        flow_cache = cache_service[flow_id]
-        flow_cache = flow_cache if isinstance(flow_cache, dict) else {}
-        try:
-            if flow_id not in cache_service:
-                error_message = "Invalid session ID"
-                yield str(StreamData(event="error", data={"error": error_message}))
-                return
-
-            if flow_cache.get("status") == BuildStatus.IN_PROGRESS:
-                error_message = "Already building"
-                yield str(StreamData(event="error", data={"error": error_message}))
-                return
-
-            graph_data = flow_cache.get("graph_data")
-
-            if not graph_data:
-                error_message = "No data provided"
-                yield str(StreamData(event="error", data={"error": error_message}))
-                return
-
-            logger.debug("Building langchain object")
-
-            # Some error could happen when building the graph
-            graph = Graph.from_payload(graph_data)
-
-            number_of_nodes = len(graph.vertices)
-            update_build_status(cache_service, flow_id, BuildStatus.IN_PROGRESS)
-            time_elapsed = ""
-            try:
-                user_id = flow_cache["user_id"]
-            except KeyError:
-                logger.debug("No user_id found in cache_service")
-                user_id = None
-            for i, vertex in enumerate(graph.generator_build(), 1):
-                start_time = time.perf_counter()
-                try:
-                    log_dict = {
-                        "log": f"Building node {vertex.vertex_type}",
-                    }
-                    yield str(StreamData(event="log", data=log_dict))
-                    if vertex.is_task:
-                        vertex = await try_running_celery_task(vertex, user_id)
-                    else:
-                        await vertex.build(user_id=user_id)
-                    time_elapsed = format_elapsed_time(time.perf_counter() - start_time)
-                    params = vertex._built_object_repr()
-                    valid = True
-
-                    logger.debug(f"Building node {str(vertex.vertex_type)}")
-                    logger.debug(f"Output: {params[:100]}{'...' if len(params) > 100 else ''}")
-                    if vertex.artifacts:
-                        # The artifacts will be prompt variables
-                        # passed to build_input_keys_response
-                        # to set the input_keys values
-                        artifacts.update(vertex.artifacts)
-                except Exception as exc:
-                    logger.exception(exc)
-                    params = str(exc)
-                    valid = False
-                    time_elapsed = format_elapsed_time(time.perf_counter() - start_time)
-                    update_build_status(cache_service, flow_id, BuildStatus.FAILURE)
-
-                vertex_id = vertex.parent_node_id if vertex.parent_is_top_level else vertex.id
-                if vertex_id in graph.top_level_vertices:
-                    response = {
-                        "valid": valid,
-                        "params": params,
-                        "id": vertex_id,
-                        "progress": round(i / number_of_nodes, 2),
-                        "duration": time_elapsed,
-                    }
-
-                    yield str(StreamData(event="message", data=response))
-
-            langchain_object = await graph.build()
-            # Now we  need to check the input_keys to send them to the client
-            if hasattr(langchain_object, "input_keys"):
-                input_keys_response = build_input_keys_response(langchain_object, artifacts)
-            else:
-                input_keys_response = {
-                    "input_keys": None,
-                    "memory_keys": [],
-                    "handle_keys": [],
-                }
-            yield str(StreamData(event="message", data=input_keys_response))
-            chat_service.set_cache(flow_id, langchain_object)
-            # We need to reset the chat history
-            chat_service.chat_history.empty_history(flow_id)
-            update_build_status(cache_service, flow_id, BuildStatus.SUCCESS)
-        except Exception as exc:
-            logger.exception(exc)
-            logger.error("Error while building the flow: %s", exc)
-
-            update_build_status(cache_service, flow_id, BuildStatus.FAILURE)
-            yield str(StreamData(event="error", data={"error": str(exc)}))
-        finally:
-            yield str(StreamData(event="message", data=final_response))
-
-    try:
-        return StreamingResponse(event_stream(flow_id), media_type="text/event-stream")
-    except Exception as exc:
-        logger.error(f"Error streaming build: {exc}")
-        raise HTTPException(status_code=500, detail=str(exc))
-
-
-async def try_running_celery_task(vertex, user_id):
-    # Try running the task in celery
-    # and set the task_id to the local vertex
-    # if it fails, run the task locally
-    try:
-        from langflow.worker import build_vertex
-
-        task = build_vertex.delay(vertex)
-        vertex.task_id = task.id
-    except Exception as exc:
-        logger.debug(f"Error running task in celery: {exc}")
-        vertex.task_id = None
-        await vertex.build(user_id=user_id)
-    return vertex
diff --git a/src/backend/langflow/api/v1/credential.py b/src/backend/langflow/api/v1/credential.py
deleted file mode 100644
index 1026319c466..00000000000
--- a/src/backend/langflow/api/v1/credential.py
+++ /dev/null
@@ -1,86 +0,0 @@
-from datetime import datetime
-from uuid import UUID
-
-from fastapi import APIRouter, Depends, HTTPException
-from langflow.services.auth import utils as auth_utils
-from langflow.services.auth.utils import get_current_active_user
-from langflow.services.database.models.credential import Credential, CredentialCreate, CredentialRead, CredentialUpdate
-from langflow.services.database.models.user.model import User
-from langflow.services.deps import get_session, get_settings_service
-from sqlmodel import Session, select
-
-router = APIRouter(prefix="/credentials", tags=["Credentials"])
-
-
-@router.post("/", response_model=CredentialRead, status_code=201)
-def create_credential(
-    *,
-    session: Session = Depends(get_session),
-    credential: CredentialCreate,
-    current_user: User = Depends(get_current_active_user),
-    settings_service=Depends(get_settings_service),
-):
-    """Create a new credential."""
-    try:
-        # check if credential name already exists
-        credential_exists = session.exec(
-            select(Credential).where(Credential.name == credential.name, Credential.user_id == current_user.id)
-        ).first()
-        if credential_exists:
-            raise HTTPException(status_code=400, detail="Credential name already exists")
-
-        db_credential = Credential.model_validate(credential, from_attributes=True)
-        if not db_credential.value:
-            raise HTTPException(status_code=400, detail="Credential value cannot be empty")
-        encrypted = auth_utils.encrypt_api_key(db_credential.value, settings_service=settings_service)
-        db_credential.value = encrypted
-        db_credential.user_id = current_user.id
-        session.add(db_credential)
-        session.commit()
-        session.refresh(db_credential)
-        return db_credential
-    except Exception as e:
-        if isinstance(e, HTTPException):
-            raise e
-        raise HTTPException(status_code=500, detail=str(e)) from e
-
-
-@router.get("/", response_model=list[CredentialRead], status_code=200)
-def read_credentials(
-    *,
-    session: Session = Depends(get_session),
-    current_user: User = Depends(get_current_active_user),
-):
-    """Read all credentials."""
-    try:
-        credentials = session.exec(select(Credential).where(Credential.user_id == current_user.id)).all()
-        return credentials
-    except Exception as e:
-        raise HTTPException(status_code=500, detail=str(e)) from e
-
-
-@router.patch("/{credential_id}", response_model=CredentialRead, status_code=200)
-def update_credential(
-    *,
-    session: Session = Depends(get_session),
-    credential_id: UUID,
-    credential: CredentialUpdate,
-    current_user: User = Depends(get_current_active_user),
-):
-    """Update a credential."""
-    try:
-        db_credential = session.exec(
-            select(Credential).where(Credential.id == credential_id, Credential.user_id == current_user.id)
-        ).first()
-        if not db_credential:
-            raise HTTPException(status_code=404, detail="Credential not found")
-
-        credential_data = credential.model_dump(exclude_unset=True)
-        for key, value in credential_data.items():
-            setattr(db_credential, key, value)
-        db_credential.updated_at = datetime.utcnow()
-        session.commit()
-        session.refresh(db_credential)
-        return db_credential
-    except Exception as e:
-        raise HTTPException(status_code=500, detail=str(e)) from e
diff --git a/src/backend/langflow/api/v1/endpoints.py b/src/backend/langflow/api/v1/endpoints.py
deleted file mode 100644
index c8ef86906e3..00000000000
--- a/src/backend/langflow/api/v1/endpoints.py
+++ /dev/null
@@ -1,394 +0,0 @@
-from http import HTTPStatus
-from typing import Annotated, Any, List, Optional, Union
-
-import sqlalchemy as sa
-from fastapi import APIRouter, Body, Depends, HTTPException, UploadFile, status
-from langflow.api.utils import update_frontend_node_with_template_values
-from langflow.api.v1.schemas import (
-    CustomComponentCode,
-    PreloadResponse,
-    ProcessResponse,
-    TaskResponse,
-    TaskStatusResponse,
-    UploadFileResponse,
-)
-from langflow.interface.custom.custom_component import CustomComponent
-from langflow.interface.custom.directory_reader import DirectoryReader
-from langflow.interface.custom.utils import build_custom_component_template
-from langflow.processing.process import build_graph_and_generate_result, process_graph_cached, process_tweaks
-from langflow.services.auth.utils import api_key_security, get_current_active_user
-from langflow.services.cache.utils import save_uploaded_file
-from langflow.services.database.models.flow import Flow
-from langflow.services.database.models.user.model import User
-from langflow.services.deps import get_session, get_session_service, get_settings_service, get_task_service
-from langflow.services.session.service import SessionService
-from loguru import logger
-from sqlmodel import select
-
-try:
-    from langflow.worker import process_graph_cached_task
-except ImportError:
-
-    def process_graph_cached_task(*args, **kwargs):
-        raise NotImplementedError("Celery is not installed")
-
-
-from langflow.services.task.service import TaskService
-from sqlmodel import Session
-
-# build router
-router = APIRouter(tags=["Base"])
-
-
-async def process_graph_data(
-    graph_data: dict,
-    inputs: Optional[Union[List[dict], dict]] = None,
-    tweaks: Optional[dict] = None,
-    clear_cache: bool = False,
-    session_id: Optional[str] = None,
-    task_service: "TaskService" = Depends(get_task_service),
-    sync: bool = True,
-):
-    task_result: Any = None
-    task_status = None
-    if tweaks:
-        try:
-            graph_data = process_tweaks(graph_data, tweaks)
-        except Exception as exc:
-            logger.error(f"Error processing tweaks: {exc}")
-    if sync:
-        result = await process_graph_cached(
-            graph_data,
-            inputs,
-            clear_cache,
-            session_id,
-        )
-        task_id = str(id(result))
-        if isinstance(result, dict) and "result" in result:
-            task_result = result["result"]
-            session_id = result["session_id"]
-        elif hasattr(result, "result") and hasattr(result, "session_id"):
-            task_result = result.result
-
-            session_id = result.session_id
-        else:
-            task_result = result
-    else:
-        logger.warning(
-            "This is an experimental feature and may not work as expected."
-            "Please report any issues to our GitHub repository."
-        )
-        if session_id is None:
-            # Generate a session ID
-            session_id = get_session_service().generate_key(session_id=session_id, data_graph=graph_data)
-        task_id, task = await task_service.launch_task(
-            process_graph_cached_task if task_service.use_celery else process_graph_cached,
-            graph_data,
-            inputs,
-            clear_cache,
-            session_id,
-        )
-        task_status = task.status
-        if task.status == "FAILURE":
-            logger.error(f"Task {task_id} failed: {task.traceback}")
-            task_result = str(task._exception)
-        else:
-            task_result = task.result
-
-    if task_id:
-        task_response = TaskResponse(id=task_id, href=f"api/v1/task/{task_id}")
-    else:
-        task_response = None
-
-    return ProcessResponse(
-        result=task_result,
-        status=task_status,
-        task=task_response,
-        session_id=session_id,
-        backend=task_service.backend_name,
-    )
-
-
-@router.get("/all", dependencies=[Depends(get_current_active_user)])
-def get_all(
-    settings_service=Depends(get_settings_service),
-):
-    from langflow.interface.types import get_all_types_dict
-
-    logger.debug("Building langchain types dict")
-    try:
-        return get_all_types_dict(settings_service)
-    except Exception as exc:
-        raise HTTPException(status_code=500, detail=str(exc)) from exc
-
-
-@router.post("/process/json", response_model=ProcessResponse)
-async def process_json(
-    session: Annotated[Session, Depends(get_session)],
-    data: dict,
-    inputs: Optional[dict] = None,
-    tweaks: Optional[dict] = None,
-    clear_cache: Annotated[bool, Body(embed=True)] = False,  # noqa: F821
-    session_id: Annotated[Union[None, str], Body(embed=True)] = None,  # noqa: F821
-    task_service: "TaskService" = Depends(get_task_service),
-    sync: Annotated[bool, Body(embed=True)] = True,  # noqa: F821
-):
-    try:
-        return await process_graph_data(
-            graph_data=data,
-            inputs=inputs,
-            tweaks=tweaks,
-            clear_cache=clear_cache,
-            session_id=session_id,
-            task_service=task_service,
-            sync=sync,
-        )
-    except Exception as exc:
-        logger.exception(exc)
-        raise HTTPException(status_code=500, detail=str(exc)) from exc
-
-
-# Endpoint to preload a graph
-@router.post("/process/preload/{flow_id}", response_model=PreloadResponse)
-async def preload_flow(
-    session: Annotated[Session, Depends(get_session)],
-    flow_id: str,
-    session_id: Optional[str] = None,
-    session_service: SessionService = Depends(get_session_service),
-    api_key_user: User = Depends(api_key_security),
-    clear_session: Annotated[bool, Body(embed=True)] = False,  # noqa: F821
-):
-    try:
-        # Get the flow that matches the flow_id and belongs to the user
-        # flow = session.query(Flow).filter(Flow.id == flow_id).filter(Flow.user_id == api_key_user.id).first()
-        if clear_session:
-            session_service.clear_session(session_id)
-            # Check if the session exists
-            session_data = await session_service.load_session(session_id)
-            # Session data is a tuple of (graph, artifacts)
-            # or (None, None) if the session is empty
-            if isinstance(session_data, tuple):
-                graph, artifacts = session_data
-                is_clear = graph is None and artifacts is None
-            else:
-                is_clear = session_data is None
-            return PreloadResponse(session_id=session_id, is_clear=is_clear)
-        else:
-            if session_id is None:
-                session_id = flow_id
-            flow = session.exec(select(Flow).where(Flow.id == flow_id).where(Flow.user_id == api_key_user.id)).first()
-            if flow is None:
-                raise ValueError(f"Flow {flow_id} not found")
-
-            if flow.data is None:
-                raise ValueError(f"Flow {flow_id} has no data")
-            graph_data = flow.data
-            session_service.clear_session(session_id)
-            # Load the graph using SessionService
-            session_data = await session_service.load_session(session_id, graph_data)
-            graph, artifacts = session_data if session_data else (None, None)
-            if not graph:
-                raise ValueError("Graph not found in the session")
-            _ = await graph.build()
-            session_service.update_session(session_id, (graph, artifacts))
-            return PreloadResponse(session_id=session_id)
-    except Exception as exc:
-        logger.exception(exc)
-        raise HTTPException(status_code=500, detail=str(exc)) from exc
-
-
-@router.post(
-    "/predict/{flow_id}",
-    response_model=ProcessResponse,
-    dependencies=[Depends(api_key_security)],
-)
-@router.post(
-    "/process/{flow_id}",
-    response_model=ProcessResponse,
-)
-async def process(
-    session: Annotated[Session, Depends(get_session)],
-    flow_id: str,
-    inputs: Optional[Union[List[dict], dict]] = None,
-    tweaks: Optional[dict] = None,
-    clear_cache: Annotated[bool, Body(embed=True)] = False,  # noqa: F821
-    session_id: Annotated[Union[None, str], Body(embed=True)] = None,  # noqa: F821
-    task_service: "TaskService" = Depends(get_task_service),
-    api_key_user: User = Depends(api_key_security),
-    sync: Annotated[bool, Body(embed=True)] = True,  # noqa: F821
-    session_service: SessionService = Depends(get_session_service),
-):
-    """
-    Endpoint to process an input with a given flow_id.
-    """
-
-    try:
-        if session_id:
-            session_data = await session_service.load_session(session_id)
-            graph, artifacts = session_data if session_data else (None, None)
-            task_result: Any = None
-            task_status = None
-            task_id = None
-            if not graph:
-                raise ValueError("Graph not found in the session")
-            result = await build_graph_and_generate_result(
-                graph=graph,
-                inputs=inputs,
-                artifacts=artifacts,
-                session_id=session_id,
-                session_service=session_service,
-            )
-            task_id = str(id(result))
-            if isinstance(result, dict) and "result" in result:
-                task_result = result["result"]
-                session_id = result["session_id"]
-            elif hasattr(result, "result") and hasattr(result, "session_id"):
-                task_result = result.result
-
-                session_id = result.session_id
-            else:
-                task_result = result
-            if task_id:
-                task_response = TaskResponse(id=task_id, href=f"api/v1/task/{task_id}")
-            else:
-                task_response = None
-            return ProcessResponse(
-                result=task_result,
-                status=task_status,
-                task=task_response,
-                session_id=session_id,
-                backend=task_service.backend_name,
-            )
-
-        else:
-            if api_key_user is None:
-                raise HTTPException(
-                    status_code=status.HTTP_401_UNAUTHORIZED,
-                    detail="Invalid API Key",
-                )
-
-            # Get the flow that matches the flow_id and belongs to the user
-            # flow = session.query(Flow).filter(Flow.id == flow_id).filter(Flow.user_id == api_key_user.id).first()
-            flow = session.exec(select(Flow).where(Flow.id == flow_id).where(Flow.user_id == api_key_user.id)).first()
-            if flow is None:
-                raise ValueError(f"Flow {flow_id} not found")
-
-            if flow.data is None:
-                raise ValueError(f"Flow {flow_id} has no data")
-            graph_data = flow.data
-            return await process_graph_data(
-                graph_data=graph_data,
-                inputs=inputs,
-                tweaks=tweaks,
-                clear_cache=clear_cache,
-                session_id=session_id,
-                task_service=task_service,
-                sync=sync,
-            )
-    except sa.exc.StatementError as exc:
-        # StatementError('(builtins.ValueError) badly formed hexadecimal UUID string')
-        if "badly formed hexadecimal UUID string" in str(exc):
-            # This means the Flow ID is not a valid UUID which means it can't find the flow
-            raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(exc)) from exc
-    except ValueError as exc:
-        if f"Flow {flow_id} not found" in str(exc):
-            raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(exc)) from exc
-        else:
-            raise HTTPException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=str(exc)) from exc
-    except Exception as e:
-        # Log stack trace
-        logger.exception(e)
-        raise HTTPException(status_code=500, detail=str(e)) from e
-
-
-@router.get("/task/{task_id}", response_model=TaskStatusResponse)
-async def get_task_status(task_id: str):
-    task_service = get_task_service()
-    task = task_service.get_task(task_id)
-    result = None
-    if task is None:
-        raise HTTPException(status_code=404, detail="Task not found")
-    if task.ready():
-        result = task.result
-        # If result isinstance of Exception, can we get the traceback?
-        if isinstance(result, Exception):
-            logger.exception(task.traceback)
-
-        if isinstance(result, dict) and "result" in result:
-            result = result["result"]
-        elif hasattr(result, "result"):
-            result = result.result
-
-    if task.status == "FAILURE":
-        result = str(task.result)
-        logger.error(f"Task {task_id} failed: {task.traceback}")
-
-    return TaskStatusResponse(status=task.status, result=result)
-
-
-@router.post(
-    "/upload/{flow_id}",
-    response_model=UploadFileResponse,
-    status_code=HTTPStatus.CREATED,
-)
-async def create_upload_file(file: UploadFile, flow_id: str):
-    # Cache file
-    try:
-        file_path = save_uploaded_file(file, folder_name=flow_id)
-
-        return UploadFileResponse(
-            flowId=flow_id,
-            file_path=file_path,
-        )
-    except Exception as exc:
-        logger.error(f"Error saving file: {exc}")
-        raise HTTPException(status_code=500, detail=str(exc)) from exc
-
-
-# get endpoint to return version of langflow
-@router.get("/version")
-def get_version():
-    from langflow import __version__
-
-    return {"version": __version__}
-
-
-@router.post("/custom_component", status_code=HTTPStatus.OK)
-async def custom_component(
-    raw_code: CustomComponentCode,
-    user: User = Depends(get_current_active_user),
-):
-    component = CustomComponent(code=raw_code.code)
-
-    built_frontend_node = build_custom_component_template(component, user_id=user.id)
-
-    built_frontend_node = update_frontend_node_with_template_values(built_frontend_node, raw_code.frontend_node)
-    return built_frontend_node
-
-
-@router.post("/custom_component/reload", status_code=HTTPStatus.OK)
-async def reload_custom_component(path: str, user: User = Depends(get_current_active_user)):
-    from langflow.interface.custom.utils import build_custom_component_template
-
-    try:
-        reader = DirectoryReader("")
-        valid, content = reader.process_file(path)
-        if not valid:
-            raise ValueError(content)
-
-        extractor = CustomComponent(code=content)
-        return build_custom_component_template(extractor, user_id=user.id)
-    except Exception as exc:
-        raise HTTPException(status_code=400, detail=str(exc))
-
-
-@router.post("/custom_component/update", status_code=HTTPStatus.OK)
-async def custom_component_update(
-    raw_code: CustomComponentCode,
-    user: User = Depends(get_current_active_user),
-):
-    component = CustomComponent(code=raw_code.code)
-
-    component_node = build_custom_component_template(component, user_id=user.id, update_field=raw_code.field)
-    # Update the field
-    return component_node
diff --git a/src/backend/langflow/api/v1/flows.py b/src/backend/langflow/api/v1/flows.py
deleted file mode 100644
index 517ff33c16a..00000000000
--- a/src/backend/langflow/api/v1/flows.py
+++ /dev/null
@@ -1,164 +0,0 @@
-from datetime import datetime
-from typing import List
-from uuid import UUID
-
-import orjson
-from fastapi import APIRouter, Depends, File, HTTPException, UploadFile
-from fastapi.encoders import jsonable_encoder
-from sqlmodel import Session, select
-
-from langflow.api.utils import remove_api_keys, validate_is_component
-from langflow.api.v1.schemas import FlowListCreate, FlowListRead
-from langflow.services.auth.utils import get_current_active_user
-from langflow.services.database.models.flow import Flow, FlowCreate, FlowRead, FlowUpdate
-from langflow.services.database.models.user.model import User
-from langflow.services.deps import get_session, get_settings_service
-
-# build router
-router = APIRouter(prefix="/flows", tags=["Flows"])
-
-
-@router.post("/", response_model=FlowRead, status_code=201)
-def create_flow(
-    *,
-    session: Session = Depends(get_session),
-    flow: FlowCreate,
-    current_user: User = Depends(get_current_active_user),
-):
-    """Create a new flow."""
-    if flow.user_id is None:
-        flow.user_id = current_user.id
-
-    db_flow = Flow.model_validate(flow, from_attributes=True)
-    db_flow.updated_at = datetime.utcnow()
-
-    session.add(db_flow)
-    session.commit()
-    session.refresh(db_flow)
-    return db_flow
-
-
-@router.get("/", response_model=list[FlowRead], status_code=200)
-def read_flows(
-    *,
-    current_user: User = Depends(get_current_active_user),
-):
-    """Read all flows."""
-    try:
-        flows = current_user.flows
-        flows = validate_is_component(flows)
-    except Exception as e:
-        raise HTTPException(status_code=500, detail=str(e)) from e
-    return [jsonable_encoder(flow) for flow in flows]
-
-
-@router.get("/{flow_id}", response_model=FlowRead, status_code=200)
-def read_flow(
-    *,
-    session: Session = Depends(get_session),
-    flow_id: UUID,
-    current_user: User = Depends(get_current_active_user),
-):
-    """Read a flow."""
-    if user_flow := (session.exec(select(Flow).where(Flow.id == flow_id, Flow.user_id == current_user.id)).first()):
-        return user_flow
-    else:
-        raise HTTPException(status_code=404, detail="Flow not found")
-
-
-@router.patch("/{flow_id}", response_model=FlowRead, status_code=200)
-def update_flow(
-    *,
-    session: Session = Depends(get_session),
-    flow_id: UUID,
-    flow: FlowUpdate,
-    current_user: User = Depends(get_current_active_user),
-    settings_service=Depends(get_settings_service),
-):
-    """Update a flow."""
-
-    db_flow = read_flow(session=session, flow_id=flow_id, current_user=current_user)
-    if not db_flow:
-        raise HTTPException(status_code=404, detail="Flow not found")
-    flow_data = flow.model_dump(exclude_unset=True)
-    if settings_service.settings.REMOVE_API_KEYS:
-        flow_data = remove_api_keys(flow_data)
-    for key, value in flow_data.items():
-        if value is not None:
-            setattr(db_flow, key, value)
-    db_flow.updated_at = datetime.utcnow()
-    session.add(db_flow)
-    session.commit()
-    session.refresh(db_flow)
-    return db_flow
-
-
-@router.delete("/{flow_id}", status_code=200)
-def delete_flow(
-    *,
-    session: Session = Depends(get_session),
-    flow_id: UUID,
-    current_user: User = Depends(get_current_active_user),
-):
-    """Delete a flow."""
-    flow = read_flow(session=session, flow_id=flow_id, current_user=current_user)
-    if not flow:
-        raise HTTPException(status_code=404, detail="Flow not found")
-    session.delete(flow)
-    session.commit()
-    return {"message": "Flow deleted successfully"}
-
-
-# Define a new model to handle multiple flows
-
-
-@router.post("/batch/", response_model=List[FlowRead], status_code=201)
-def create_flows(
-    *,
-    session: Session = Depends(get_session),
-    flow_list: FlowListCreate,
-    current_user: User = Depends(get_current_active_user),
-):
-    """Create multiple new flows."""
-    db_flows = []
-    for flow in flow_list.flows:
-        flow.user_id = current_user.id
-        db_flow = Flow.model_validate(flow, from_attributes=True)
-        session.add(db_flow)
-        db_flows.append(db_flow)
-    session.commit()
-    for db_flow in db_flows:
-        session.refresh(db_flow)
-    return db_flows
-
-
-@router.post("/upload/", response_model=List[FlowRead], status_code=201)
-async def upload_file(
-    *,
-    session: Session = Depends(get_session),
-    file: UploadFile = File(...),
-    current_user: User = Depends(get_current_active_user),
-):
-    """Upload flows from a file."""
-    contents = await file.read()
-    data = orjson.loads(contents)
-    if "flows" in data:
-        flow_list = FlowListCreate(**data)
-    else:
-        flow_list = FlowListCreate(flows=[FlowCreate(**flow) for flow in data])
-    # Now we set the user_id for all flows
-    for flow in flow_list.flows:
-        flow.user_id = current_user.id
-
-    return create_flows(session=session, flow_list=flow_list, current_user=current_user)
-
-
-@router.get("/download/", response_model=FlowListRead, status_code=200)
-async def download_file(
-    *,
-    session: Session = Depends(get_session),
-    current_user: User = Depends(get_current_active_user),
-):
-    """Download all flows as a file."""
-    flows = read_flows(current_user=current_user)
-    return FlowListRead(flows=flows)
diff --git a/src/backend/langflow/api/v1/login.py b/src/backend/langflow/api/v1/login.py
deleted file mode 100644
index b0946fd0ab3..00000000000
--- a/src/backend/langflow/api/v1/login.py
+++ /dev/null
@@ -1,125 +0,0 @@
-from fastapi import APIRouter, Depends, HTTPException, Request, Response, status
-from fastapi.security import OAuth2PasswordRequestForm
-from sqlmodel import Session
-
-from langflow.api.v1.schemas import Token
-from langflow.services.auth.utils import (
-    authenticate_user,
-    create_refresh_token,
-    create_user_longterm_token,
-    create_user_tokens,
-)
-from langflow.services.deps import get_session, get_settings_service
-
-router = APIRouter(tags=["Login"])
-
-
-@router.post("/login", response_model=Token)
-async def login_to_get_access_token(
-    response: Response,
-    form_data: OAuth2PasswordRequestForm = Depends(),
-    db: Session = Depends(get_session),
-    # _: Session = Depends(get_current_active_user)
-    settings_service=Depends(get_settings_service),
-):
-    auth_settings = settings_service.auth_settings
-    try:
-        user = authenticate_user(form_data.username, form_data.password, db)
-    except Exception as exc:
-        if isinstance(exc, HTTPException):
-            raise exc
-        raise HTTPException(
-            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
-            detail=str(exc),
-        ) from exc
-
-    if user:
-        tokens = create_user_tokens(user_id=user.id, db=db, update_last_login=True)
-        response.set_cookie(
-            "refresh_token_lf",
-            tokens["refresh_token"],
-            httponly=auth_settings.REFRESH_HTTPONLY,
-            samesite=auth_settings.REFRESH_SAME_SITE,
-            secure=auth_settings.REFRESH_SECURE,
-        )
-        response.set_cookie(
-            "access_token_lf",
-            tokens["access_token"],
-            httponly=auth_settings.ACCESS_HTTPONLY,
-            samesite=auth_settings.ACCESS_SAME_SITE,
-            secure=auth_settings.ACCESS_SECURE,
-        )
-        return tokens
-    else:
-        raise HTTPException(
-            status_code=status.HTTP_401_UNAUTHORIZED,
-            detail="Incorrect username or password",
-            headers={"WWW-Authenticate": "Bearer"},
-        )
-
-
-@router.get("/auto_login")
-async def auto_login(
-    response: Response,
-    db: Session = Depends(get_session),
-    settings_service=Depends(get_settings_service),
-):
-    auth_settings = settings_service.auth_settings
-    if settings_service.auth_settings.AUTO_LOGIN:
-        tokens = create_user_longterm_token(db)
-        response.set_cookie(
-            "access_token_lf",
-            tokens["access_token"],
-            httponly=auth_settings.ACCESS_HTTPONLY,
-            samesite=auth_settings.ACCESS_SAME_SITE,
-            secure=auth_settings.ACCESS_SECURE,
-        )
-        return tokens
-
-    raise HTTPException(
-        status_code=status.HTTP_400_BAD_REQUEST,
-        detail={
-            "message": "Auto login is disabled. Please enable it in the settings",
-            "auto_login": False,
-        },
-    )
-
-
-@router.post("/refresh")
-async def refresh_token(
-    request: Request, response: Response, settings_service=Depends(get_settings_service)
-):
-    auth_settings = settings_service.auth_settings
-
-    token = request.cookies.get("refresh_token_lf")
-
-    if token:
-        tokens = create_refresh_token(token)
-        response.set_cookie(
-            "refresh_token_lf",
-            tokens["refresh_token"],
-            httponly=auth_settings.REFRESH_HTTPONLY,
-            samesite=auth_settings.REFRESH_SAME_SITE,
-            secure=auth_settings.REFRESH_SECURE,
-        )
-        response.set_cookie(
-            "access_token_lf",
-            tokens["access_token"],
-            httponly=auth_settings.ACCESS_HTTPONLY,
-            samesite=auth_settings.ACCESS_SAME_SITE,
-            secure=auth_settings.ACCESS_SECURE,
-        )
-        return tokens
-    else:
-        raise HTTPException(
-            status_code=status.HTTP_401_UNAUTHORIZED,
-            detail="Invalid refresh token",
-            headers={"WWW-Authenticate": "Bearer"},
-        )
-
-
-@router.post("/logout")
-async def logout(response: Response):
-    response.delete_cookie("refresh_token_lf")
-    response.delete_cookie("access_token_lf")
-    return {"message": "Logout successful"}
diff --git a/src/backend/langflow/api/v1/schemas.py b/src/backend/langflow/api/v1/schemas.py
deleted file mode 100644
index b28cc8c2c99..00000000000
--- a/src/backend/langflow/api/v1/schemas.py
+++ /dev/null
@@ -1,214 +0,0 @@
-from enum import Enum
-from pathlib import Path
-from typing import Any, Dict, List, Optional, Union
-from uuid import UUID
-
-from langflow.services.database.models.api_key.model import ApiKeyRead
-from langflow.services.database.models.base import orjson_dumps
-from langflow.services.database.models.flow import FlowCreate, FlowRead
-from langflow.services.database.models.user import UserRead
-from pydantic import BaseModel, Field, field_validator
-
-
-class BuildStatus(Enum):
-    """Status of the build."""
-
-    SUCCESS = "success"
-    FAILURE = "failure"
-    STARTED = "started"
-    IN_PROGRESS = "in_progress"
-
-
-class GraphData(BaseModel):
-    """Data inside the exported flow."""
-
-    nodes: List[Dict[str, Any]]
-    edges: List[Dict[str, Any]]
-
-
-class ExportedFlow(BaseModel):
-    """Exported flow from Langflow."""
-
-    description: str
-    name: str
-    id: str
-    data: GraphData
-
-
-class InputRequest(BaseModel):
-    input: dict
-
-
-class TweaksRequest(BaseModel):
-    tweaks: Optional[Dict[str, Dict[str, str]]] = Field(default_factory=dict)
-
-
-class UpdateTemplateRequest(BaseModel):
-    template: dict
-
-
-class TaskResponse(BaseModel):
-    """Task response schema."""
-
-    id: Optional[str] = Field(None)
-    href: Optional[str] = Field(None)
-
-
-class ProcessResponse(BaseModel):
-    """Process response schema."""
-
-    result: Any
-    status: Optional[str] = None
-    task: Optional[TaskResponse] = None
-    session_id: Optional[str] = None
-    backend: Optional[str] = None
-
-
-class PreloadResponse(BaseModel):
-    """Preload response schema."""
-
-    session_id: Optional[str] = None
-    is_clear: Optional[bool] = None
-
-
-# TaskStatusResponse(
-#         status=task.status, result=task.result if task.ready() else None
-#     )
-class TaskStatusResponse(BaseModel):
-    """Task status response schema."""
-
-    status: str
-    result: Optional[Any] = None
-
-
-class ChatMessage(BaseModel):
-    """Chat message schema."""
-
-    is_bot: bool = False
-    message: Union[str, None, dict] = None
-    chatKey: Optional[str] = None
-    type: str = "human"
-
-
-class ChatResponse(ChatMessage):
-    """Chat response schema."""
-
-    intermediate_steps: str
-
-    type: str
-    is_bot: bool = True
-    files: list = []
-
-    @field_validator("type")
-    @classmethod
-    def validate_message_type(cls, v):
-        if v not in ["start", "stream", "end", "error", "info", "file"]:
-            raise ValueError("type must be start, stream, end, error, info, or file")
-        return v
-
-
-class PromptResponse(ChatMessage):
-    """Prompt response schema."""
-
-    prompt: str
-    type: str = "prompt"
-    is_bot: bool = True
-
-
-class FileResponse(ChatMessage):
-    """File response schema."""
-
-    data: Any = None
-    data_type: str
-    type: str = "file"
-    is_bot: bool = True
-
-    @field_validator("data_type")
-    @classmethod
-    def validate_data_type(cls, v):
-        if v not in ["image", "csv"]:
-            raise ValueError("data_type must be image or csv")
-        return v
-
-
-class FlowListCreate(BaseModel):
-    flows: List[FlowCreate]
-
-
-class FlowListRead(BaseModel):
-    flows: List[FlowRead]
-
-
-class InitResponse(BaseModel):
-    flowId: str
-
-
-class BuiltResponse(BaseModel):
-    built: bool
-
-
-class UploadFileResponse(BaseModel):
-    """Upload file response schema."""
-
-    flowId: str
-    file_path: Path
-
-
-class StreamData(BaseModel):
-    event: str
-    data: dict
-
-    def __str__(self) -> str:
-        return f"event: {self.event}\ndata: {orjson_dumps(self.data, indent_2=False)}\n\n"
-
-
-class CustomComponentCode(BaseModel):
-    code: str
-    field: Optional[str] = None
-    frontend_node: Optional[dict] = None
-
-
-class CustomComponentResponseError(BaseModel):
-    detail: str
-    traceback: str
-
-
-class ComponentListCreate(BaseModel):
-    flows: List[FlowCreate]
-
-
-class ComponentListRead(BaseModel):
-    flows: List[FlowRead]
-
-
-class UsersResponse(BaseModel):
-    total_count: int
-    users: List[UserRead]
-
-
-class ApiKeyResponse(BaseModel):
-    id: str
-    api_key: str
-    name: str
-    created_at: str
-    last_used_at: str
-
-
-class ApiKeysResponse(BaseModel):
-    total_count: int
-    user_id: UUID
-    api_keys: List[ApiKeyRead]
-
-
-class CreateApiKeyRequest(BaseModel):
-    name: str
-
-
-class Token(BaseModel):
-    access_token: str
-    refresh_token: str
-    token_type: str
-
-
-class ApiKeyCreateRequest(BaseModel):
-    api_key: str
diff --git a/src/backend/langflow/api/v1/validate.py b/src/backend/langflow/api/v1/validate.py
deleted file mode 100644
index 51d0f0d7691..00000000000
--- a/src/backend/langflow/api/v1/validate.py
+++ /dev/null
@@ -1,120 +0,0 @@
-from fastapi import APIRouter, HTTPException
-from langflow.api.v1.base import (
-    Code,
-    CodeValidationResponse,
-    PromptValidationResponse,
-    ValidatePromptRequest,
-    validate_prompt,
-)
-from langflow.template.field.base import TemplateField
-from langflow.utils.validate import validate_code
-from loguru import logger
-
-# build router
-router = APIRouter(prefix="/validate", tags=["Validate"])
-
-
-@router.post("/code", status_code=200, response_model=CodeValidationResponse)
-def post_validate_code(code: Code):
-    try:
-        errors = validate_code(code.code)
-        return CodeValidationResponse(
-            imports=errors.get("imports", {}),
-            function=errors.get("function", {}),
-        )
-    except Exception as e:
-        return HTTPException(status_code=500, detail=str(e))
-
-
-@router.post("/prompt", status_code=200, response_model=PromptValidationResponse)
-def post_validate_prompt(prompt_request: ValidatePromptRequest):
-    try:
-        input_variables = validate_prompt(prompt_request.template)
-        # Check if frontend_node is None before proceeding to avoid attempting to update a non-existent node.
-        if prompt_request.frontend_node is None:
-            return PromptValidationResponse(
-                input_variables=input_variables,
-                frontend_node=None,
-            )
-        old_custom_fields = get_old_custom_fields(prompt_request)
-
-        add_new_variables_to_template(input_variables, prompt_request)
-
-        remove_old_variables_from_template(old_custom_fields, input_variables, prompt_request)
-
-        update_input_variables_field(input_variables, prompt_request)
-
-        return PromptValidationResponse(
-            input_variables=input_variables,
-            frontend_node=prompt_request.frontend_node,
-        )
-    except Exception as e:
-        logger.exception(e)
-        raise HTTPException(status_code=500, detail=str(e)) from e
-
-
-def get_old_custom_fields(prompt_request):
-    try:
-        if len(prompt_request.frontend_node.custom_fields) == 1 and prompt_request.name == "":
-            # If there is only one custom field and the name is empty string
-            # then we are dealing with the first prompt request after the node was created
-            prompt_request.name = list(prompt_request.frontend_node.custom_fields.keys())[0]
-
-        old_custom_fields = prompt_request.frontend_node.custom_fields[prompt_request.name]
-        if old_custom_fields is None:
-            old_custom_fields = []
-
-        old_custom_fields = old_custom_fields.copy()
-    except KeyError:
-        old_custom_fields = []
-    prompt_request.frontend_node.custom_fields[prompt_request.name] = []
-    return old_custom_fields
-
-
-def add_new_variables_to_template(input_variables, prompt_request):
-    for variable in input_variables:
-        try:
-            template_field = TemplateField(
-                name=variable,
-                display_name=variable,
-                field_type="str",
-                show=True,
-                advanced=False,
-                multiline=True,
-                input_types=["Document", "BaseOutputParser"],
-                value="",  # Set the value to empty string
-            )
-            if variable in prompt_request.frontend_node.template:
-                # Set the new field with the old value
-                template_field.value = prompt_request.frontend_node.template[variable]["value"]
-
-            prompt_request.frontend_node.template[variable] = template_field.to_dict()
-
-            # Check if variable is not already in the list before appending
-            if variable not in prompt_request.frontend_node.custom_fields[prompt_request.name]:
-                prompt_request.frontend_node.custom_fields[prompt_request.name].append(variable)
-
-        except Exception as exc:
-            logger.exception(exc)
-            raise HTTPException(status_code=500, detail=str(exc)) from exc
-
-
-def remove_old_variables_from_template(old_custom_fields, input_variables, prompt_request):
-    for variable in old_custom_fields:
-        if variable not in input_variables:
-            try:
-                # Remove the variable from custom_fields associated with the given name
-                if variable in prompt_request.frontend_node.custom_fields[prompt_request.name]:
-                    prompt_request.frontend_node.custom_fields[prompt_request.name].remove(variable)
-
-                # Remove the variable from the template
-                prompt_request.frontend_node.template.pop(variable, None)
-
-            except Exception as exc:
-                logger.exception(exc)
-                raise HTTPException(status_code=500, detail=str(exc)) from exc
-
-
-def update_input_variables_field(input_variables, prompt_request):
-    if "input_variables" in prompt_request.frontend_node.template:
-        prompt_request.frontend_node.template["input_variables"]["value"] = input_variables
diff --git a/src/backend/langflow/components/__init__.py b/src/backend/langflow/components/__init__.py
deleted file mode 100644
index 7650422103e..00000000000
--- a/src/backend/langflow/components/__init__.py
+++ /dev/null
@@ -1,4 +0,0 @@
-from langflow.interface.custom.custom_component import CustomComponent
-
-
-__all__ = ["CustomComponent"]
diff --git a/src/backend/langflow/components/agents/AgentInitializer.py b/src/backend/langflow/components/agents/AgentInitializer.py
deleted file mode 100644
index 3d936df8aea..00000000000
--- a/src/backend/langflow/components/agents/AgentInitializer.py
+++ /dev/null
@@ -1,51 +0,0 @@
-from typing import Callable, List, Optional, Union
-
-from langchain.agents import AgentExecutor, AgentType, initialize_agent, types
-from langflow import CustomComponent
-from langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool
-
-
-class AgentInitializerComponent(CustomComponent):
-    display_name: str = "Agent Initializer"
-    description: str = "Initialize a Langchain Agent."
-    documentation: str = "https://python.langchain.com/docs/modules/agents/agent_types/"
-
-    def build_config(self):
-        agents = list(types.AGENT_TO_CLASS.keys())
-        # field_type and required are optional
-        return {
-            "agent": {"options": agents, "value": agents[0], "display_name": "Agent Type"},
-            "max_iterations": {"display_name": "Max Iterations", "value": 10},
-            "memory": {"display_name": "Memory"},
-            "tools": {"display_name": "Tools"},
-            "llm": {"display_name": "Language Model"},
-            "code": {"advanced": True},
-        }
-
-    def build(
-        self,
-        agent: str,
-        llm: BaseLanguageModel,
-        tools: List[Tool],
-        max_iterations: int,
-        memory: Optional[BaseChatMemory] = None,
-    ) -> Union[AgentExecutor, Callable]:
-        agent = AgentType(agent)
-        if memory:
-            return initialize_agent(
-                tools=tools,
-                llm=llm,
-                agent=agent,
-                memory=memory,
-                return_intermediate_steps=True,
-                handle_parsing_errors=True,
-                max_iterations=max_iterations,
-            )
-        return initialize_agent(
-            tools=tools,
-            llm=llm,
-            agent=agent,
-            return_intermediate_steps=True,
-            handle_parsing_errors=True,
-            max_iterations=max_iterations,
-        )
diff --git a/src/backend/langflow/components/agents/CSVAgent.py b/src/backend/langflow/components/agents/CSVAgent.py
deleted file mode 100644
index b54e5d90d11..00000000000
--- a/src/backend/langflow/components/agents/CSVAgent.py
+++ /dev/null
@@ -1,23 +0,0 @@
-from langflow import CustomComponent
-from langflow.field_typing import BaseLanguageModel, AgentExecutor
-from langchain_experimental.agents.agent_toolkits.csv.base import create_csv_agent
-
-
-class CSVAgentComponent(CustomComponent):
-    display_name = "CSVAgent"
-    description = "Construct a CSV agent from a CSV and tools."
-    documentation = "https://python.langchain.com/docs/modules/agents/toolkits/csv"
-
-    def build_config(self):
-        return {
-            "llm": {"display_name": "LLM", "type": BaseLanguageModel},
-            "path": {"display_name": "Path", "field_type": "file", "suffixes": [".csv"], "file_types": [".csv"]},
-        }
-
-    def build(
-        self,
-        llm: BaseLanguageModel,
-        path: str,
-    ) -> AgentExecutor:
-        # Instantiate and return the CSV agent class with the provided llm and path
-        return create_csv_agent(llm=llm, path=path)
diff --git a/src/backend/langflow/components/agents/JsonAgent.py b/src/backend/langflow/components/agents/JsonAgent.py
deleted file mode 100644
index 0197b921019..00000000000
--- a/src/backend/langflow/components/agents/JsonAgent.py
+++ /dev/null
@@ -1,24 +0,0 @@
-from langflow import CustomComponent
-from langchain.agents import AgentExecutor, create_json_agent
-from langflow.field_typing import (
-    BaseLanguageModel,
-)
-from langchain_community.agent_toolkits.json.toolkit import JsonToolkit
-
-
-class JsonAgentComponent(CustomComponent):
-    display_name = "JsonAgent"
-    description = "Construct a json agent from an LLM and tools."
-
-    def build_config(self):
-        return {
-            "llm": {"display_name": "LLM"},
-            "toolkit": {"display_name": "Toolkit"},
-        }
-
-    def build(
-        self,
-        llm: BaseLanguageModel,
-        toolkit: JsonToolkit,
-    ) -> AgentExecutor:
-        return create_json_agent(llm=llm, toolkit=toolkit)
diff --git a/src/backend/langflow/components/agents/OpenAIConversationalAgent.py b/src/backend/langflow/components/agents/OpenAIConversationalAgent.py
deleted file mode 100644
index 5dfb533870c..00000000000
--- a/src/backend/langflow/components/agents/OpenAIConversationalAgent.py
+++ /dev/null
@@ -1,94 +0,0 @@
-from typing import List, Optional
-
-from langchain.agents.agent import AgentExecutor
-from langchain.agents.agent_toolkits.conversational_retrieval.openai_functions import _get_default_system_message
-from langchain.agents.openai_functions_agent.base import OpenAIFunctionsAgent
-from langchain.memory.token_buffer import ConversationTokenBufferMemory
-from langchain.prompts import SystemMessagePromptTemplate
-from langchain.prompts.chat import MessagesPlaceholder
-from langchain.schema.memory import BaseMemory
-from langchain.tools import Tool
-from langchain_community.chat_models import ChatOpenAI
-from langflow import CustomComponent
-from langflow.field_typing.range_spec import RangeSpec
-
-
-class ConversationalAgent(CustomComponent):
-    display_name: str = "OpenAI Conversational Agent"
-    description: str = "Conversational Agent that can use OpenAI's function calling API"
-
-    def build_config(self):
-        openai_function_models = [
-            "gpt-4-turbo-preview",
-            "gpt-4-0125-preview",
-            "gpt-4-1106-preview",
-            "gpt-4-vision-preview",
-            "gpt-3.5-turbo-0125",
-            "gpt-3.5-turbo-1106",
-        ]
-        return {
-            "tools": {"display_name": "Tools"},
-            "memory": {"display_name": "Memory"},
-            "system_message": {"display_name": "System Message"},
-            "max_token_limit": {"display_name": "Max Token Limit"},
-            "model_name": {
-                "display_name": "Model Name",
-                "options": openai_function_models,
-                "value": openai_function_models[0],
-            },
-            "code": {"show": False},
-            "temperature": {
-                "display_name": "Temperature",
-                "value": 0.2,
-                "range_spec": RangeSpec(min=0, max=2, step=0.1),
-            },
-        }
-
-    def build(
-        self,
-        model_name: str,
-        openai_api_key: str,
-        tools: List[Tool],
-        openai_api_base: Optional[str] = None,
-        memory: Optional[BaseMemory] = None,
-        system_message: Optional[SystemMessagePromptTemplate] = None,
-        max_token_limit: int = 2000,
-        temperature: float = 0.9,
-    ) -> AgentExecutor:
-        llm = ChatOpenAI(
-            model=model_name,
-            api_key=openai_api_key,
-            base_url=openai_api_base,
-            max_tokens=max_token_limit,
-            temperature=temperature,
-        )
-        if not memory:
-            memory_key = "chat_history"
-            memory = ConversationTokenBufferMemory(
-                memory_key=memory_key,
-                return_messages=True,
-                output_key="output",
-                llm=llm,
-                max_token_limit=max_token_limit,
-            )
-        else:
-            memory_key = memory.memory_key  # type: ignore
-
-        _system_message = system_message or _get_default_system_message()
-        prompt = OpenAIFunctionsAgent.create_prompt(
-            system_message=_system_message,  # type: ignore
-            extra_prompt_messages=[MessagesPlaceholder(variable_name=memory_key)],
-        )
-        agent = OpenAIFunctionsAgent(
-            llm=llm,
-            tools=tools,
-            prompt=prompt,  # type: ignore
-        )
-        return AgentExecutor(
-            agent=agent,
-            tools=tools,  # type: ignore
-            memory=memory,
-            verbose=True,
-            return_intermediate_steps=True,
-            handle_parsing_errors=True,
-        )
diff --git a/src/backend/langflow/components/agents/VectorStoreRouterAgent.py b/src/backend/langflow/components/agents/VectorStoreRouterAgent.py
deleted file mode 100644
index 3174d9513bb..00000000000
--- a/src/backend/langflow/components/agents/VectorStoreRouterAgent.py
+++ /dev/null
@@ -1,19 +0,0 @@
-from langflow import CustomComponent
-from langchain_core.language_models.base import BaseLanguageModel
-from langchain.agents.agent_toolkits.vectorstore.toolkit import VectorStoreRouterToolkit
-from langchain.agents import create_vectorstore_router_agent
-from typing import Callable
-
-
-class VectorStoreRouterAgentComponent(CustomComponent):
-    display_name = "VectorStoreRouterAgent"
-    description = "Construct an agent from a Vector Store Router."
-
-    def build_config(self):
-        return {
-            "llm": {"display_name": "LLM"},
-            "vectorstoreroutertoolkit": {"display_name": "Vector Store Router Toolkit"},
-        }
-
-    def build(self, llm: BaseLanguageModel, vectorstoreroutertoolkit: VectorStoreRouterToolkit) -> Callable:
-        return create_vectorstore_router_agent(llm=llm, toolkit=vectorstoreroutertoolkit)
diff --git a/src/backend/langflow/components/chains/ConversationChain.py b/src/backend/langflow/components/chains/ConversationChain.py
deleted file mode 100644
index 76e6d8e25a9..00000000000
--- a/src/backend/langflow/components/chains/ConversationChain.py
+++ /dev/null
@@ -1,29 +0,0 @@
-from langflow import CustomComponent
-from langchain.chains import ConversationChain
-from typing import Optional, Union, Callable
-from langflow.field_typing import BaseLanguageModel, BaseMemory, Chain
-
-
-class ConversationChainComponent(CustomComponent):
-    display_name = "ConversationChain"
-    description = "Chain to have a conversation and load context from memory."
-
-    def build_config(self):
-        return {
-            "prompt": {"display_name": "Prompt"},
-            "llm": {"display_name": "LLM"},
-            "memory": {
-                "display_name": "Memory",
-                "info": "Memory to load context from. If none is provided, a ConversationBufferMemory will be used.",
-            },
-            "code": {"show": False},
-        }
-
-    def build(
-        self,
-        llm: BaseLanguageModel,
-        memory: Optional[BaseMemory] = None,
-    ) -> Union[Chain, Callable]:
-        if memory is None:
-            return ConversationChain(llm=llm)
-        return ConversationChain(llm=llm, memory=memory)
diff --git a/src/backend/langflow/components/chains/LLMChain.py b/src/backend/langflow/components/chains/LLMChain.py
deleted file mode 100644
index c6efd04c77a..00000000000
--- a/src/backend/langflow/components/chains/LLMChain.py
+++ /dev/null
@@ -1,32 +0,0 @@
-from typing import Callable, Optional, Union
-
-from langchain.chains import LLMChain
-
-from langflow import CustomComponent
-from langflow.field_typing import (
-    BaseLanguageModel,
-    BaseMemory,
-    BasePromptTemplate,
-    Chain,
-)
-
-
-class LLMChainComponent(CustomComponent):
-    display_name = "LLMChain"
-    description = "Chain to run queries against LLMs"
-
-    def build_config(self):
-        return {
-            "prompt": {"display_name": "Prompt"},
-            "llm": {"display_name": "LLM"},
-            "memory": {"display_name": "Memory"},
-            "code": {"show": False},
-        }
-
-    def build(
-        self,
-        prompt: BasePromptTemplate,
-        llm: BaseLanguageModel,
-        memory: Optional[BaseMemory] = None,
-    ) -> Union[Chain, Callable, LLMChain]:
-        return LLMChain(prompt=prompt, llm=llm, memory=memory)
diff --git a/src/backend/langflow/components/chains/LLMCheckerChain.py b/src/backend/langflow/components/chains/LLMCheckerChain.py
deleted file mode 100644
index 527cafbb76d..00000000000
--- a/src/backend/langflow/components/chains/LLMCheckerChain.py
+++ /dev/null
@@ -1,22 +0,0 @@
-from typing import Callable, Union
-
-from langchain.chains import LLMCheckerChain
-from langflow import CustomComponent
-from langflow.field_typing import BaseLanguageModel, Chain
-
-
-class LLMCheckerChainComponent(CustomComponent):
-    display_name = "LLMCheckerChain"
-    description = ""
-    documentation = "https://python.langchain.com/docs/modules/chains/additional/llm_checker"
-
-    def build_config(self):
-        return {
-            "llm": {"display_name": "LLM"},
-        }
-
-    def build(
-        self,
-        llm: BaseLanguageModel,
-    ) -> Union[Chain, Callable]:
-        return LLMCheckerChain.from_llm(llm=llm)
diff --git a/src/backend/langflow/components/chains/LLMMathChain.py b/src/backend/langflow/components/chains/LLMMathChain.py
deleted file mode 100644
index 28f430e6d45..00000000000
--- a/src/backend/langflow/components/chains/LLMMathChain.py
+++ /dev/null
@@ -1,31 +0,0 @@
-from typing import Callable, Optional, Union
-
-from langchain.chains import LLMChain, LLMMathChain
-
-from langflow import CustomComponent
-from langflow.field_typing import BaseLanguageModel, BaseMemory, Chain
-
-
-class LLMMathChainComponent(CustomComponent):
-    display_name = "LLMMathChain"
-    description = "Chain that interprets a prompt and executes python code to do math."
-    documentation = "https://python.langchain.com/docs/modules/chains/additional/llm_math"
-
-    def build_config(self):
-        return {
-            "llm": {"display_name": "LLM"},
-            "llm_chain": {"display_name": "LLM Chain"},
-            "memory": {"display_name": "Memory"},
-            "input_key": {"display_name": "Input Key"},
-            "output_key": {"display_name": "Output Key"},
-        }
-
-    def build(
-        self,
-        llm: BaseLanguageModel,
-        llm_chain: LLMChain,
-        input_key: str = "question",
-        output_key: str = "answer",
-        memory: Optional[BaseMemory] = None,
-    ) -> Union[LLMMathChain, Callable, Chain]:
-        return LLMMathChain(llm=llm, llm_chain=llm_chain, input_key=input_key, output_key=output_key, memory=memory)
diff --git a/src/backend/langflow/components/chains/PromptRunner.py b/src/backend/langflow/components/chains/PromptRunner.py
deleted file mode 100644
index 16a3ce42977..00000000000
--- a/src/backend/langflow/components/chains/PromptRunner.py
+++ /dev/null
@@ -1,28 +0,0 @@
-from langchain.llms.base import BaseLLM
-from langchain.prompts import PromptTemplate
-from langchain_core.documents import Document
-
-from langflow import CustomComponent
-
-
-class PromptRunner(CustomComponent):
-    display_name: str = "Prompt Runner"
-    description: str = "Run a Chain with the given PromptTemplate"
-    beta: bool = True
-    field_config = {
-        "llm": {"display_name": "LLM"},
-        "prompt": {
-            "display_name": "Prompt Template",
-            "info": "Make sure the prompt has all variables filled.",
-        },
-        "code": {"show": False},
-    }
-
-    def build(self, llm: BaseLLM, prompt: PromptTemplate, inputs: dict = {}) -> Document:
-        chain = prompt | llm
-        # The input is an empty dict because the prompt is already filled
-        result = chain.invoke(input=inputs)
-        if hasattr(result, "content"):
-            result = result.content
-        self.repr_value = result
-        return Document(page_content=str(result))
diff --git a/src/backend/langflow/components/chains/RetrievalQA.py b/src/backend/langflow/components/chains/RetrievalQA.py
deleted file mode 100644
index 5f12324439a..00000000000
--- a/src/backend/langflow/components/chains/RetrievalQA.py
+++ /dev/null
@@ -1,39 +0,0 @@
-from typing import Callable, Optional, Union
-
-from langchain.chains.combine_documents.base import BaseCombineDocumentsChain
-from langchain.chains.retrieval_qa.base import BaseRetrievalQA, RetrievalQA
-from langflow import CustomComponent
-from langflow.field_typing import BaseMemory, BaseRetriever
-
-
-class RetrievalQAComponent(CustomComponent):
-    display_name = "RetrievalQA"
-    description = "Chain for question-answering against an index."
-
-    def build_config(self):
-        return {
-            "combine_documents_chain": {"display_name": "Combine Documents Chain"},
-            "retriever": {"display_name": "Retriever"},
-            "memory": {"display_name": "Memory", "required": False},
-            "input_key": {"display_name": "Input Key", "advanced": True},
-            "output_key": {"display_name": "Output Key", "advanced": True},
-            "return_source_documents": {"display_name": "Return Source Documents"},
-        }
-
-    def build(
-        self,
-        combine_documents_chain: BaseCombineDocumentsChain,
-        retriever: BaseRetriever,
-        memory: Optional[BaseMemory] = None,
-        input_key: str = "query",
-        output_key: str = "result",
-        return_source_documents: bool = True,
-    ) -> Union[BaseRetrievalQA, Callable]:
-        return RetrievalQA(
-            combine_documents_chain=combine_documents_chain,
-            retriever=retriever,
-            memory=memory,
-            input_key=input_key,
-            output_key=output_key,
-            return_source_documents=return_source_documents,
-        )
diff --git a/src/backend/langflow/components/chains/RetrievalQAWithSourcesChain.py b/src/backend/langflow/components/chains/RetrievalQAWithSourcesChain.py
deleted file mode 100644
index 3c46cd8bd41..00000000000
--- a/src/backend/langflow/components/chains/RetrievalQAWithSourcesChain.py
+++ /dev/null
@@ -1,42 +0,0 @@
-from typing import Optional
-
-from langchain.chains import RetrievalQAWithSourcesChain
-from langchain.chains.qa_with_sources.base import BaseQAWithSourcesChain
-from langchain.chains.combine_documents.base import BaseCombineDocumentsChain
-
-from langflow import CustomComponent
-from langflow.field_typing import BaseLanguageModel, BaseMemory, BaseRetriever
-
-
-class RetrievalQAWithSourcesChainComponent(CustomComponent):
-    display_name = "RetrievalQAWithSourcesChain"
-    description = "Question-answering with sources over an index."
-
-    def build_config(self):
-        return {
-            "llm": {"display_name": "LLM"},
-            "chain_type": {
-                "display_name": "Chain Type",
-                "options": ["stuff", "map_reduce", "map_rerank", "refine"],
-            },
-            "memory": {"display_name": "Memory"},
-            "return_source_documents": {"display_name": "Return Source Documents"},
-        }
-
-    def build(
-        self,
-        retriever: BaseRetriever,
-        llm: BaseLanguageModel,
-        combine_documents_chain: BaseCombineDocumentsChain,
-        chain_type: str,
-        memory: Optional[BaseMemory] = None,
-        return_source_documents: Optional[bool] = True,
-    ) -> BaseQAWithSourcesChain:
-        return RetrievalQAWithSourcesChain.from_chain_type(
-            llm=llm,
-            chain_type=chain_type,
-            combine_documents_chain=combine_documents_chain,
-            memory=memory,
-            return_source_documents=return_source_documents,
-            retriever=retriever,
-        )
diff --git a/src/backend/langflow/components/chains/SQLDatabaseChain.py b/src/backend/langflow/components/chains/SQLDatabaseChain.py
deleted file mode 100644
index 56bd433ba4f..00000000000
--- a/src/backend/langflow/components/chains/SQLDatabaseChain.py
+++ /dev/null
@@ -1,25 +0,0 @@
-from langflow import CustomComponent
-from typing import Callable, Union
-from langflow.field_typing import BasePromptTemplate, BaseLanguageModel, Chain
-from langchain_community.utilities.sql_database import SQLDatabase
-from langchain_experimental.sql.base import SQLDatabaseChain
-
-
-class SQLDatabaseChainComponent(CustomComponent):
-    display_name = "SQLDatabaseChain"
-    description = ""
-
-    def build_config(self):
-        return {
-            "db": {"display_name": "Database"},
-            "llm": {"display_name": "LLM"},
-            "prompt": {"display_name": "Prompt"},
-        }
-
-    def build(
-        self,
-        db: SQLDatabase,
-        llm: BaseLanguageModel,
-        prompt: BasePromptTemplate,
-    ) -> Union[Chain, Callable, SQLDatabaseChain]:
-        return SQLDatabaseChain.from_llm(llm=llm, db=db, prompt=prompt)
diff --git a/src/backend/langflow/components/custom_components/CustomComponent.py b/src/backend/langflow/components/custom_components/CustomComponent.py
deleted file mode 100644
index 533ccb727fa..00000000000
--- a/src/backend/langflow/components/custom_components/CustomComponent.py
+++ /dev/null
@@ -1,12 +0,0 @@
-from langflow import CustomComponent
-from langflow.field_typing import Data
-
-
-class Component(CustomComponent):
-    documentation: str = "http://docs.langflow.org/components/custom"
-
-    def build_config(self):
-        return {"param": {"display_name": "Parameter"}}
-
-    def build(self, param: Data) -> Data:
-        return param
diff --git a/src/backend/langflow/components/documentloaders/DirectoryLoader.py b/src/backend/langflow/components/documentloaders/DirectoryLoader.py
deleted file mode 100644
index 5b087512603..00000000000
--- a/src/backend/langflow/components/documentloaders/DirectoryLoader.py
+++ /dev/null
@@ -1,42 +0,0 @@
-from typing import Any, Dict, List
-
-from langchain.docstore.document import Document
-from langchain.document_loaders.directory import DirectoryLoader
-from langflow import CustomComponent
-
-
-class DirectoryLoaderComponent(CustomComponent):
-    display_name = "DirectoryLoader"
-    description = "Load from a directory."
-
-    def build_config(self) -> Dict[str, Any]:
-        return {
-            "glob": {"display_name": "Glob Pattern", "value": "**/*.txt"},
-            "load_hidden": {"display_name": "Load Hidden Files", "value": False, "advanced": True},
-            "max_concurrency": {"display_name": "Max Concurrency", "value": 10, "advanced": True},
-            "metadata": {"display_name": "Metadata", "value": {}},
-            "path": {"display_name": "Local Directory"},
-            "recursive": {"display_name": "Recursive", "value": True, "advanced": True},
-            "silent_errors": {"display_name": "Silent Errors", "value": False, "advanced": True},
-            "use_multithreading": {"display_name": "Use Multithreading", "value": True, "advanced": True},
-        }
-
-    def build(
-        self,
-        glob: str,
-        path: str,
-        max_concurrency: int = 2,
-        load_hidden: bool = False,
-        recursive: bool = True,
-        silent_errors: bool = False,
-        use_multithreading: bool = True,
-    ) -> List[Document]:
-        return DirectoryLoader(
-            glob=glob,
-            path=path,
-            load_hidden=load_hidden,
-            max_concurrency=max_concurrency,
-            recursive=recursive,
-            silent_errors=silent_errors,
-            use_multithreading=use_multithreading,
-        ).load()
diff --git a/src/backend/langflow/components/documentloaders/FileLoader.py b/src/backend/langflow/components/documentloaders/FileLoader.py
deleted file mode 100644
index 07160557d9b..00000000000
--- a/src/backend/langflow/components/documentloaders/FileLoader.py
+++ /dev/null
@@ -1,113 +0,0 @@
-from langchain_core.documents import Document
-from langflow import CustomComponent
-from langflow.utils.constants import LOADERS_INFO
-
-
-class FileLoaderComponent(CustomComponent):
-    display_name: str = "File Loader"
-    description: str = "Generic File Loader"
-    beta = True
-
-    def build_config(self):
-        loader_options = ["Automatic"] + [loader_info["name"] for loader_info in LOADERS_INFO]
-
-        file_types = []
-        suffixes = []
-
-        for loader_info in LOADERS_INFO:
-            if "allowedTypes" in loader_info:
-                file_types.extend(loader_info["allowedTypes"])
-                suffixes.extend([f".{ext}" for ext in loader_info["allowedTypes"]])
-
-        return {
-            "file_path": {
-                "display_name": "File Path",
-                "required": True,
-                "field_type": "file",
-                "file_types": [
-                    "json",
-                    "txt",
-                    "csv",
-                    "jsonl",
-                    "html",
-                    "htm",
-                    "conllu",
-                    "enex",
-                    "msg",
-                    "pdf",
-                    "srt",
-                    "eml",
-                    "md",
-                    "pptx",
-                    "docx",
-                ],
-                "suffixes": [
-                    ".json",
-                    ".txt",
-                    ".csv",
-                    ".jsonl",
-                    ".html",
-                    ".htm",
-                    ".conllu",
-                    ".enex",
-                    ".msg",
-                    ".pdf",
-                    ".srt",
-                    ".eml",
-                    ".md",
-                    ".pptx",
-                    ".docx",
-                ],
-                # "file_types" : file_types,
-                # "suffixes": suffixes,
-            },
-            "loader": {
-                "display_name": "Loader",
-                "is_list": True,
-                "required": True,
-                "options": loader_options,
-                "value": "Automatic",
-            },
-            "code": {"show": False},
-        }
-
-    def build(self, file_path: str, loader: str) -> Document:
-        file_type = file_path.split(".")[-1]
-
-        # Mapeie o nome do loader selecionado para suas informações
-        selected_loader_info = None
-        for loader_info in LOADERS_INFO:
-            if loader_info["name"] == loader:
-                selected_loader_info = loader_info
-                break
-
-        if selected_loader_info is None and loader != "Automatic":
-            raise ValueError(f"Loader {loader} not found in the loader info list")
-
-        if loader == "Automatic":
-            # Determine o loader automaticamente com base na extensão do arquivo
-            default_loader_info = None
-            for info in LOADERS_INFO:
-                if "defaultFor" in info and file_type in info["defaultFor"]:
-                    default_loader_info = info
-                    break
-
-            if default_loader_info is None:
-                raise ValueError(f"No default loader found for file type: {file_type}")
-
-            selected_loader_info = default_loader_info
-        if isinstance(selected_loader_info, dict):
-            loader_import: str = selected_loader_info["import"]
-        else:
-            raise ValueError(f"Loader info for {loader} is not a dict\nLoader info:\n{selected_loader_info}")
-        module_name, class_name = loader_import.rsplit(".", 1)
-
-        try:
-            # Importe o loader dinamicamente
-            loader_module = __import__(module_name, fromlist=[class_name])
-            loader_instance = getattr(loader_module, class_name)
-        except ImportError as e:
-            raise ValueError(f"Loader {loader} could not be imported\nLoader info:\n{selected_loader_info}") from e
-
-        result = loader_instance(file_path=file_path)
-        return result.load()
diff --git a/src/backend/langflow/components/documentloaders/UrlLoader.py b/src/backend/langflow/components/documentloaders/UrlLoader.py
deleted file mode 100644
index eb60ac5725b..00000000000
--- a/src/backend/langflow/components/documentloaders/UrlLoader.py
+++ /dev/null
@@ -1,47 +0,0 @@
-from typing import List
-
-from langchain import document_loaders
-from langchain_core.documents import Document
-
-from langflow import CustomComponent
-
-
-class UrlLoaderComponent(CustomComponent):
-    display_name: str = "Url Loader"
-    description: str = "Generic Url Loader Component"
-
-    def build_config(self):
-        return {
-            "web_path": {
-                "display_name": "Url",
-                "required": True,
-            },
-            "loader": {
-                "display_name": "Loader",
-                "is_list": True,
-                "required": True,
-                "options": [
-                    "AZLyricsLoader",
-                    "CollegeConfidentialLoader",
-                    "GitbookLoader",
-                    "HNLoader",
-                    "IFixitLoader",
-                    "IMSDbLoader",
-                    "WebBaseLoader",
-                ],
-                "value": "WebBaseLoader",
-            },
-            "code": {"show": False},
-        }
-
-    def build(self, web_path: str, loader: str) -> List[Document]:
-        try:
-            loader_instance = getattr(document_loaders, loader)(web_path=web_path)
-        except Exception as e:
-            raise ValueError(f"No loader found for: {web_path}") from e
-        docs = loader_instance.load()
-        avg_length = sum(len(doc.page_content) for doc in docs if hasattr(doc, "page_content")) / len(docs)
-        self.status = f"""{len(docs)} documents)
-        \nAvg. Document Length (characters): {int(avg_length)}
-        Documents: {docs[:3]}..."""
-        return docs
diff --git a/src/backend/langflow/components/embeddings/AmazonBedrockEmbeddings.py b/src/backend/langflow/components/embeddings/AmazonBedrockEmbeddings.py
deleted file mode 100644
index 450e5ee3bee..00000000000
--- a/src/backend/langflow/components/embeddings/AmazonBedrockEmbeddings.py
+++ /dev/null
@@ -1,46 +0,0 @@
-from typing import Optional
-
-from langchain.embeddings import BedrockEmbeddings
-from langchain.embeddings.base import Embeddings
-from langflow import CustomComponent
-
-
-class AmazonBedrockEmeddingsComponent(CustomComponent):
-    """
-    A custom component for implementing an Embeddings Model using Amazon Bedrock.
-    """
-
-    display_name: str = "Amazon Bedrock Embeddings"
-    description: str = "Embeddings model from Amazon Bedrock."
-    documentation = "https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock"
-    beta = True
-
-    def build_config(self):
-        return {
-            "model_id": {
-                "display_name": "Model Id",
-                "options": ["amazon.titan-embed-text-v1"],
-            },
-            "credentials_profile_name": {"display_name": "Credentials Profile Name"},
-            "endpoint_url": {"display_name": "Bedrock Endpoint URL"},
-            "region_name": {"display_name": "AWS Region"},
-            "code": {"show": False},
-        }
-
-    def build(
-        self,
-        model_id: str = "amazon.titan-embed-text-v1",
-        credentials_profile_name: Optional[str] = None,
-        endpoint_url: Optional[str] = None,
-        region_name: Optional[str] = None,
-    ) -> Embeddings:
-        try:
-            output = BedrockEmbeddings(
-                credentials_profile_name=credentials_profile_name,
-                model_id=model_id,
-                endpoint_url=endpoint_url,
-                region_name=region_name,
-            )  # type: ignore
-        except Exception as e:
-            raise ValueError("Could not connect to AmazonBedrock API.") from e
-        return output
diff --git a/src/backend/langflow/components/embeddings/AzureOpenAIEmbeddings.py b/src/backend/langflow/components/embeddings/AzureOpenAIEmbeddings.py
deleted file mode 100644
index 09b03e17b47..00000000000
--- a/src/backend/langflow/components/embeddings/AzureOpenAIEmbeddings.py
+++ /dev/null
@@ -1,65 +0,0 @@
-from langchain.embeddings.base import Embeddings
-from langchain_community.embeddings import AzureOpenAIEmbeddings
-
-from langflow import CustomComponent
-
-
-class AzureOpenAIEmbeddingsComponent(CustomComponent):
-    display_name: str = "AzureOpenAIEmbeddings"
-    description: str = "Embeddings model from Azure OpenAI."
-    documentation: str = "https://python.langchain.com/docs/integrations/text_embedding/azureopenai"
-    beta = False
-
-    API_VERSION_OPTIONS = [
-        "2022-12-01",
-        "2023-03-15-preview",
-        "2023-05-15",
-        "2023-06-01-preview",
-        "2023-07-01-preview",
-        "2023-08-01-preview",
-    ]
-
-    def build_config(self):
-        return {
-            "azure_endpoint": {
-                "display_name": "Azure Endpoint",
-                "required": True,
-                "info": "Your Azure endpoint, including the resource.. Example: `https://example-resource.azure.openai.com/`",
-            },
-            "azure_deployment": {
-                "display_name": "Deployment Name",
-                "required": True,
-            },
-            "api_version": {
-                "display_name": "API Version",
-                "options": self.API_VERSION_OPTIONS,
-                "value": self.API_VERSION_OPTIONS[-1],
-                "advanced": True,
-            },
-            "api_key": {
-                "display_name": "API Key",
-                "required": True,
-                "password": True,
-            },
-            "code": {"show": False},
-        }
-
-    def build(
-        self,
-        azure_endpoint: str,
-        azure_deployment: str,
-        api_version: str,
-        api_key: str,
-    ) -> Embeddings:
-        try:
-            embeddings = AzureOpenAIEmbeddings(
-                azure_endpoint=azure_endpoint,
-                azure_deployment=azure_deployment,
-                api_version=api_version,
-                api_key=api_key,
-            )
-
-        except Exception as e:
-            raise ValueError("Could not connect to AzureOpenAIEmbeddings API.") from e
-
-        return embeddings
diff --git a/src/backend/langflow/components/embeddings/CohereEmbeddings.py b/src/backend/langflow/components/embeddings/CohereEmbeddings.py
deleted file mode 100644
index d3f82b04117..00000000000
--- a/src/backend/langflow/components/embeddings/CohereEmbeddings.py
+++ /dev/null
@@ -1,37 +0,0 @@
-from typing import Optional
-
-from langchain_community.embeddings.cohere import CohereEmbeddings
-
-from langflow import CustomComponent
-
-
-class CohereEmbeddingsComponent(CustomComponent):
-    display_name = "CohereEmbeddings"
-    description = "Cohere embedding models."
-
-    def build_config(self):
-        return {
-            "cohere_api_key": {"display_name": "Cohere API Key", "password": True},
-            "model": {"display_name": "Model", "default": "embed-english-v2.0", "advanced": True},
-            "truncate": {"display_name": "Truncate", "advanced": True},
-            "max_retries": {"display_name": "Max Retries", "advanced": True},
-            "user_agent": {"display_name": "User Agent", "advanced": True},
-        }
-
-    def build(
-        self,
-        request_timeout: Optional[float] = None,
-        cohere_api_key: str = "",
-        max_retries: int = 3,
-        model: str = "embed-english-v2.0",
-        truncate: Optional[str] = None,
-        user_agent: str = "langchain",
-    ) -> CohereEmbeddings:
-        return CohereEmbeddings(  # type: ignore
-            max_retries=max_retries,
-            user_agent=user_agent,
-            request_timeout=request_timeout,
-            cohere_api_key=cohere_api_key,
-            model=model,
-            truncate=truncate,
-        )
diff --git a/src/backend/langflow/components/embeddings/HuggingFaceEmbeddings.py b/src/backend/langflow/components/embeddings/HuggingFaceEmbeddings.py
deleted file mode 100644
index 6f3540358b7..00000000000
--- a/src/backend/langflow/components/embeddings/HuggingFaceEmbeddings.py
+++ /dev/null
@@ -1,36 +0,0 @@
-from langflow import CustomComponent
-from typing import Optional, Dict
-from langchain_community.embeddings.huggingface import HuggingFaceEmbeddings
-
-
-class HuggingFaceEmbeddingsComponent(CustomComponent):
-    display_name = "HuggingFaceEmbeddings"
-    description = "HuggingFace sentence_transformers embedding models."
-    documentation = (
-        "https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/sentence_transformers"
-    )
-
-    def build_config(self):
-        return {
-            "cache_folder": {"display_name": "Cache Folder", "advanced": True},
-            "encode_kwargs": {"display_name": "Encode Kwargs", "advanced": True, "field_type": "dict"},
-            "model_kwargs": {"display_name": "Model Kwargs", "field_type": "dict", "advanced": True},
-            "model_name": {"display_name": "Model Name"},
-            "multi_process": {"display_name": "Multi Process", "advanced": True},
-        }
-
-    def build(
-        self,
-        cache_folder: Optional[str] = None,
-        encode_kwargs: Optional[Dict] = {},
-        model_kwargs: Optional[Dict] = {},
-        model_name: str = "sentence-transformers/all-mpnet-base-v2",
-        multi_process: bool = False,
-    ) -> HuggingFaceEmbeddings:
-        return HuggingFaceEmbeddings(
-            cache_folder=cache_folder,
-            encode_kwargs=encode_kwargs,
-            model_kwargs=model_kwargs,
-            model_name=model_name,
-            multi_process=multi_process,
-        )
diff --git a/src/backend/langflow/components/embeddings/HuggingFaceInferenceAPIEmbeddings.py b/src/backend/langflow/components/embeddings/HuggingFaceInferenceAPIEmbeddings.py
deleted file mode 100644
index acc828d7f27..00000000000
--- a/src/backend/langflow/components/embeddings/HuggingFaceInferenceAPIEmbeddings.py
+++ /dev/null
@@ -1,42 +0,0 @@
-from typing import Dict, Optional
-
-from langchain_community.embeddings.huggingface import HuggingFaceInferenceAPIEmbeddings
-from langflow import CustomComponent
-from pydantic.v1.types import SecretStr
-
-
-class HuggingFaceInferenceAPIEmbeddingsComponent(CustomComponent):
-    display_name = "HuggingFaceInferenceAPIEmbeddings"
-    description = "HuggingFace sentence_transformers embedding models, API version."
-    documentation = "https://github.com/huggingface/text-embeddings-inference"
-
-    def build_config(self):
-        return {
-            "api_key": {"display_name": "API Key", "password": True, "advanced": True},
-            "api_url": {"display_name": "API URL", "advanced": True},
-            "model_name": {"display_name": "Model Name"},
-            "cache_folder": {"display_name": "Cache Folder", "advanced": True},
-            "encode_kwargs": {"display_name": "Encode Kwargs", "advanced": True, "field_type": "dict"},
-            "model_kwargs": {"display_name": "Model Kwargs", "field_type": "dict", "advanced": True},
-            "multi_process": {"display_name": "Multi Process", "advanced": True},
-        }
-
-    def build(
-        self,
-        api_key: Optional[str] = "",
-        api_url: str = "http://localhost:8080",
-        model_name: str = "BAAI/bge-large-en-v1.5",
-        cache_folder: Optional[str] = None,
-        encode_kwargs: Optional[Dict] = {},
-        model_kwargs: Optional[Dict] = {},
-        multi_process: bool = False,
-    ) -> HuggingFaceInferenceAPIEmbeddings:
-        if api_key:
-            secret_api_key = SecretStr(api_key)
-        else:
-            raise ValueError("API Key is required")
-        return HuggingFaceInferenceAPIEmbeddings(
-            api_key=secret_api_key,
-            api_url=api_url,
-            model_name=model_name,
-        )
diff --git a/src/backend/langflow/components/embeddings/OllamaEmbeddings.py b/src/backend/langflow/components/embeddings/OllamaEmbeddings.py
deleted file mode 100644
index 65c6aca3b35..00000000000
--- a/src/backend/langflow/components/embeddings/OllamaEmbeddings.py
+++ /dev/null
@@ -1,38 +0,0 @@
-from typing import Optional
-
-from langflow import CustomComponent
-from langchain.embeddings.base import Embeddings
-from langchain_community.embeddings import OllamaEmbeddings
-
-
-class OllamaEmbeddingsComponent(CustomComponent):
-    """
-    A custom component for implementing an Embeddings Model using Ollama.
-    """
-
-    display_name: str = "Ollama Embeddings"
-    description: str = "Embeddings model from Ollama."
-    documentation = "https://python.langchain.com/docs/integrations/text_embedding/ollama"
-    beta = True
-
-    def build_config(self):
-        return {
-            "model": {
-                "display_name": "Ollama Model",
-            },
-            "base_url": {"display_name": "Ollama Base URL"},
-            "temperature": {"display_name": "Model Temperature"},
-            "code": {"show": False},
-        }
-
-    def build(
-        self,
-        model: str = "llama2",
-        base_url: str = "http://localhost:11434",
-        temperature: Optional[float] = None,
-    ) -> Embeddings:
-        try:
-            output = OllamaEmbeddings(model=model, base_url=base_url, temperature=temperature)  # type: ignore
-        except Exception as e:
-            raise ValueError("Could not connect to Ollama API.") from e
-        return output
diff --git a/src/backend/langflow/components/embeddings/OpenAIEmbeddings.py b/src/backend/langflow/components/embeddings/OpenAIEmbeddings.py
deleted file mode 100644
index ba6d634b8c8..00000000000
--- a/src/backend/langflow/components/embeddings/OpenAIEmbeddings.py
+++ /dev/null
@@ -1,127 +0,0 @@
-from typing import Any, Callable, Dict, List, Optional, Union
-
-from langchain_openai.embeddings.base import OpenAIEmbeddings
-from langflow import CustomComponent
-from langflow.field_typing import NestedDict
-from pydantic.v1.types import SecretStr
-
-
-class OpenAIEmbeddingsComponent(CustomComponent):
-    display_name = "OpenAIEmbeddings"
-    description = "OpenAI embedding models"
-
-    def build_config(self):
-        return {
-            "allowed_special": {
-                "display_name": "Allowed Special",
-                "advanced": True,
-                "field_type": "str",
-                "is_list": True,
-            },
-            "default_headers": {
-                "display_name": "Default Headers",
-                "advanced": True,
-                "field_type": "dict",
-            },
-            "default_query": {
-                "display_name": "Default Query",
-                "advanced": True,
-                "field_type": "NestedDict",
-            },
-            "disallowed_special": {
-                "display_name": "Disallowed Special",
-                "advanced": True,
-                "field_type": "str",
-                "is_list": True,
-            },
-            "chunk_size": {"display_name": "Chunk Size", "advanced": True},
-            "client": {"display_name": "Client", "advanced": True},
-            "deployment": {"display_name": "Deployment", "advanced": True},
-            "embedding_ctx_length": {
-                "display_name": "Embedding Context Length",
-                "advanced": True,
-            },
-            "max_retries": {"display_name": "Max Retries", "advanced": True},
-            "model": {
-                "display_name": "Model",
-                "advanced": False,
-                "options": ["text-embedding-3-small", "text-embedding-3-large", "text-embedding-ada-002"],
-            },
-            "model_kwargs": {"display_name": "Model Kwargs", "advanced": True},
-            "openai_api_base": {"display_name": "OpenAI API Base", "password": True, "advanced": True},
-            "openai_api_key": {"display_name": "OpenAI API Key", "password": True},
-            "openai_api_type": {"display_name": "OpenAI API Type", "advanced": True, "password": True},
-            "openai_api_version": {
-                "display_name": "OpenAI API Version",
-                "advanced": True,
-            },
-            "openai_organization": {
-                "display_name": "OpenAI Organization",
-                "advanced": True,
-            },
-            "openai_proxy": {"display_name": "OpenAI Proxy", "advanced": True},
-            "request_timeout": {"display_name": "Request Timeout", "advanced": True},
-            "show_progress_bar": {
-                "display_name": "Show Progress Bar",
-                "advanced": True,
-            },
-            "skip_empty": {"display_name": "Skip Empty", "advanced": True},
-            "tiktoken_model_name": {"display_name": "TikToken Model Name"},
-            "tikToken_enable": {"display_name": "TikToken Enable", "advanced": True},
-        }
-
-    def build(
-        self,
-        default_headers: Optional[Dict[str, str]] = None,
-        default_query: Optional[NestedDict] = {},
-        allowed_special: List[str] = [],
-        disallowed_special: List[str] = ["all"],
-        chunk_size: int = 1000,
-        client: Optional[Any] = None,
-        deployment: str = "text-embedding-3-small",
-        embedding_ctx_length: int = 8191,
-        max_retries: int = 6,
-        model: str = "text-embedding-3-small",
-        model_kwargs: NestedDict = {},
-        openai_api_base: Optional[str] = None,
-        openai_api_key: Optional[str] = "",
-        openai_api_type: Optional[str] = None,
-        openai_api_version: Optional[str] = None,
-        openai_organization: Optional[str] = None,
-        openai_proxy: Optional[str] = None,
-        request_timeout: Optional[float] = None,
-        show_progress_bar: bool = False,
-        skip_empty: bool = False,
-        tiktoken_enable: bool = True,
-        tiktoken_model_name: Optional[str] = None,
-    ) -> Union[OpenAIEmbeddings, Callable]:
-        # This is to avoid errors with Vector Stores (e.g Chroma)
-        if disallowed_special == ["all"]:
-            disallowed_special = "all"  # type: ignore
-
-        api_key = SecretStr(openai_api_key) if openai_api_key else None
-
-        return OpenAIEmbeddings(
-            tiktoken_enabled=tiktoken_enable,
-            default_headers=default_headers,
-            default_query=default_query,
-            allowed_special=set(allowed_special),
-            disallowed_special="all",
-            chunk_size=chunk_size,
-            client=client,
-            deployment=deployment,
-            embedding_ctx_length=embedding_ctx_length,
-            max_retries=max_retries,
-            model=model,
-            model_kwargs=model_kwargs,
-            base_url=openai_api_base,
-            api_key=api_key,
-            openai_api_type=openai_api_type,
-            api_version=openai_api_version,
-            organization=openai_organization,
-            openai_proxy=openai_proxy,
-            timeout=request_timeout,
-            show_progress_bar=show_progress_bar,
-            skip_empty=skip_empty,
-            tiktoken_model_name=tiktoken_model_name,
-        )
diff --git a/src/backend/langflow/components/embeddings/VertexAIEmbeddings.py b/src/backend/langflow/components/embeddings/VertexAIEmbeddings.py
deleted file mode 100644
index 053fd6c7f7a..00000000000
--- a/src/backend/langflow/components/embeddings/VertexAIEmbeddings.py
+++ /dev/null
@@ -1,60 +0,0 @@
-from langflow import CustomComponent
-from langchain.embeddings import VertexAIEmbeddings
-from typing import Optional, List
-
-
-class VertexAIEmbeddingsComponent(CustomComponent):
-    display_name = "VertexAIEmbeddings"
-    description = "Google Cloud VertexAI embedding models."
-
-    def build_config(self):
-        return {
-            "credentials": {"display_name": "Credentials", "value": "", "file_types": [".json"], "field_type": "file"},
-            "instance": {"display_name": "instance", "advanced": True, "field_type": "dict"},
-            "location": {"display_name": "Location", "value": "us-central1", "advanced": True},
-            "max_output_tokens": {"display_name": "Max Output Tokens", "value": 128},
-            "max_retries": {"display_name": "Max Retries", "value": 6, "advanced": True},
-            "model_name": {"display_name": "Model Name", "value": "textembedding-gecko"},
-            "n": {"display_name": "N", "value": 1, "advanced": True},
-            "project": {"display_name": "Project", "advanced": True},
-            "request_parallelism": {"display_name": "Request Parallelism", "value": 5, "advanced": True},
-            "stop": {"display_name": "Stop", "advanced": True},
-            "streaming": {"display_name": "Streaming", "value": False, "advanced": True},
-            "temperature": {"display_name": "Temperature", "value": 0.0},
-            "top_k": {"display_name": "Top K", "value": 40, "advanced": True},
-            "top_p": {"display_name": "Top P", "value": 0.95, "advanced": True},
-        }
-
-    def build(
-        self,
-        instance: Optional[str] = None,
-        credentials: Optional[str] = None,
-        location: str = "us-central1",
-        max_output_tokens: int = 128,
-        max_retries: int = 6,
-        model_name: str = "textembedding-gecko",
-        n: int = 1,
-        project: Optional[str] = None,
-        request_parallelism: int = 5,
-        stop: Optional[List[str]] = None,
-        streaming: bool = False,
-        temperature: float = 0.0,
-        top_k: int = 40,
-        top_p: float = 0.95,
-    ) -> VertexAIEmbeddings:
-        return VertexAIEmbeddings(
-            instance=instance,
-            credentials=credentials,
-            location=location,
-            max_output_tokens=max_output_tokens,
-            max_retries=max_retries,
-            model_name=model_name,
-            n=n,
-            project=project,
-            request_parallelism=request_parallelism,
-            stop=stop,
-            streaming=streaming,
-            temperature=temperature,
-            top_k=top_k,
-            top_p=top_p,
-        )
diff --git a/src/backend/langflow/components/llms/AmazonBedrock.py b/src/backend/langflow/components/llms/AmazonBedrock.py
deleted file mode 100644
index 5b931bb9422..00000000000
--- a/src/backend/langflow/components/llms/AmazonBedrock.py
+++ /dev/null
@@ -1,60 +0,0 @@
-from typing import Optional
-
-from langchain.llms.base import BaseLLM
-from langchain.llms.bedrock import Bedrock
-from langflow import CustomComponent
-
-
-class AmazonBedrockComponent(CustomComponent):
-    display_name: str = "Amazon Bedrock"
-    description: str = "LLM model from Amazon Bedrock."
-
-    def build_config(self):
-        return {
-            "model_id": {
-                "display_name": "Model Id",
-                "options": [
-                    "ai21.j2-grande-instruct",
-                    "ai21.j2-jumbo-instruct",
-                    "ai21.j2-mid",
-                    "ai21.j2-mid-v1",
-                    "ai21.j2-ultra",
-                    "ai21.j2-ultra-v1",
-                    "anthropic.claude-instant-v1",
-                    "anthropic.claude-v1",
-                    "anthropic.claude-v2",
-                    "cohere.command-text-v14",
-                ],
-            },
-            "credentials_profile_name": {"display_name": "Credentials Profile Name"},
-            "streaming": {"display_name": "Streaming", "field_type": "bool"},
-            "endpoint_url": {"display_name": "Endpoint URL"},
-            "region_name": {"display_name": "Region Name"},
-            "model_kwargs": {"display_name": "Model Kwargs"},
-            "cache": {"display_name": "Cache"},
-            "code": {"advanced": True},
-        }
-
-    def build(
-        self,
-        model_id: str = "anthropic.claude-instant-v1",
-        credentials_profile_name: Optional[str] = None,
-        region_name: Optional[str] = None,
-        model_kwargs: Optional[dict] = None,
-        endpoint_url: Optional[str] = None,
-        streaming: bool = False,
-        cache: Optional[bool] = None,
-    ) -> BaseLLM:
-        try:
-            output = Bedrock(
-                credentials_profile_name=credentials_profile_name,
-                model_id=model_id,
-                region_name=region_name,
-                model_kwargs=model_kwargs,
-                endpoint_url=endpoint_url,
-                streaming=streaming,
-                cache=cache,
-            )  # type: ignore
-        except Exception as e:
-            raise ValueError("Could not connect to AmazonBedrock API.") from e
-        return output
diff --git a/src/backend/langflow/components/llms/Anthropic.py b/src/backend/langflow/components/llms/Anthropic.py
deleted file mode 100644
index c1b776617c9..00000000000
--- a/src/backend/langflow/components/llms/Anthropic.py
+++ /dev/null
@@ -1,48 +0,0 @@
-from typing import Optional
-
-from langchain_community.llms.anthropic import Anthropic
-from pydantic.v1 import SecretStr
-
-from langflow import CustomComponent
-from langflow.field_typing import BaseLanguageModel, NestedDict
-
-
-class AnthropicComponent(CustomComponent):
-    display_name = "Anthropic"
-    description = "Anthropic large language models."
-
-    def build_config(self):
-        return {
-            "anthropic_api_key": {
-                "display_name": "Anthropic API Key",
-                "type": str,
-                "password": True,
-            },
-            "anthropic_api_url": {
-                "display_name": "Anthropic API URL",
-                "type": str,
-            },
-            "model_kwargs": {
-                "display_name": "Model Kwargs",
-                "field_type": "NestedDict",
-                "advanced": True,
-            },
-            "temperature": {
-                "display_name": "Temperature",
-                "field_type": "float",
-            },
-        }
-
-    def build(
-        self,
-        anthropic_api_key: str,
-        anthropic_api_url: str,
-        model_kwargs: NestedDict = {},
-        temperature: Optional[float] = None,
-    ) -> BaseLanguageModel:
-        return Anthropic(
-            anthropic_api_key=SecretStr(anthropic_api_key),
-            anthropic_api_url=anthropic_api_url,
-            model_kwargs=model_kwargs,
-            temperature=temperature,
-        )
diff --git a/src/backend/langflow/components/llms/AnthropicLLM.py b/src/backend/langflow/components/llms/AnthropicLLM.py
deleted file mode 100644
index 94c4ed8f5d0..00000000000
--- a/src/backend/langflow/components/llms/AnthropicLLM.py
+++ /dev/null
@@ -1,74 +0,0 @@
-from typing import Optional
-
-from langchain_community.chat_models.anthropic import ChatAnthropic
-from langchain.llms.base import BaseLanguageModel
-from pydantic.v1 import SecretStr
-
-from langflow import CustomComponent
-
-
-class AnthropicLLM(CustomComponent):
-    display_name: str = "AnthropicLLM"
-    description: str = "Anthropic Chat&Completion large language models."
-
-    def build_config(self):
-        return {
-            "model": {
-                "display_name": "Model Name",
-                "options": [
-                    "claude-2.1",
-                    "claude-2.0",
-                    "claude-instant-1.2",
-                    "claude-instant-1",
-                    # Add more models as needed
-                ],
-                "info": "https://python.langchain.com/docs/integrations/chat/anthropic",
-                "required": True,
-                "value": "claude-2.1",
-            },
-            "anthropic_api_key": {
-                "display_name": "Anthropic API Key",
-                "required": True,
-                "password": True,
-                "info": "Your Anthropic API key.",
-            },
-            "max_tokens": {
-                "display_name": "Max Tokens",
-                "field_type": "int",
-                "value": 256,
-            },
-            "temperature": {
-                "display_name": "Temperature",
-                "field_type": "float",
-                "value": 0.7,
-            },
-            "api_endpoint": {
-                "display_name": "API Endpoint",
-                "info": "Endpoint of the Anthropic API. Defaults to 'https://api.anthropic.com' if not specified.",
-            },
-            "code": {"show": False},
-        }
-
-    def build(
-        self,
-        model: str,
-        anthropic_api_key: Optional[str] = None,
-        max_tokens: Optional[int] = None,
-        temperature: Optional[float] = None,
-        api_endpoint: Optional[str] = None,
-    ) -> BaseLanguageModel:
-        # Set default API endpoint if not provided
-        if not api_endpoint:
-            api_endpoint = "https://api.anthropic.com"
-
-        try:
-            output = ChatAnthropic(
-                model_name=model,
-                anthropic_api_key=SecretStr(anthropic_api_key) if anthropic_api_key else None,
-                max_tokens_to_sample=max_tokens,  # type: ignore
-                temperature=temperature,
-                anthropic_api_url=api_endpoint,
-            )
-        except Exception as e:
-            raise ValueError("Could not connect to Anthropic API.") from e
-        return output
diff --git a/src/backend/langflow/components/llms/AzureChatOpenAI.py b/src/backend/langflow/components/llms/AzureChatOpenAI.py
deleted file mode 100644
index d43abb3dc39..00000000000
--- a/src/backend/langflow/components/llms/AzureChatOpenAI.py
+++ /dev/null
@@ -1,96 +0,0 @@
-from typing import Optional
-from langflow import CustomComponent
-from langchain.llms.base import BaseLanguageModel
-from langchain_community.chat_models.azure_openai import AzureChatOpenAI
-
-
-class AzureChatOpenAIComponent(CustomComponent):
-    display_name: str = "AzureChatOpenAI"
-    description: str = "LLM model from Azure OpenAI."
-    documentation: str = "https://python.langchain.com/docs/integrations/llms/azure_openai"
-    beta = False
-
-    AZURE_OPENAI_MODELS = [
-        "gpt-35-turbo",
-        "gpt-35-turbo-16k",
-        "gpt-35-turbo-instruct",
-        "gpt-4",
-        "gpt-4-32k",
-        "gpt-4-vision",
-    ]
-
-    AZURE_OPENAI_API_VERSIONS = [
-        "2023-03-15-preview",
-        "2023-05-15",
-        "2023-06-01-preview",
-        "2023-07-01-preview",
-        "2023-08-01-preview",
-        "2023-09-01-preview",
-        "2023-12-01-preview",
-    ]
-
-    def build_config(self):
-        return {
-            "model": {
-                "display_name": "Model Name",
-                "value": self.AZURE_OPENAI_MODELS[0],
-                "options": self.AZURE_OPENAI_MODELS,
-                "required": True,
-            },
-            "azure_endpoint": {
-                "display_name": "Azure Endpoint",
-                "required": True,
-                "info": "Your Azure endpoint, including the resource.. Example: `https://example-resource.azure.openai.com/`",
-            },
-            "azure_deployment": {
-                "display_name": "Deployment Name",
-                "required": True,
-            },
-            "api_version": {
-                "display_name": "API Version",
-                "options": self.AZURE_OPENAI_API_VERSIONS,
-                "value": self.AZURE_OPENAI_API_VERSIONS[-1],
-                "required": True,
-                "advanced": True,
-            },
-            "api_key": {"display_name": "API Key", "required": True, "password": True},
-            "temperature": {
-                "display_name": "Temperature",
-                "value": 0.7,
-                "field_type": "float",
-                "required": False,
-            },
-            "max_tokens": {
-                "display_name": "Max Tokens",
-                "value": 1000,
-                "required": False,
-                "field_type": "int",
-                "advanced": True,
-                "info": "Maximum number of tokens to generate.",
-            },
-            "code": {"show": False},
-        }
-
-    def build(
-        self,
-        model: str,
-        azure_endpoint: str,
-        azure_deployment: str,
-        api_key: str,
-        api_version: str,
-        temperature: float = 0.7,
-        max_tokens: Optional[int] = 1000,
-    ) -> BaseLanguageModel:
-        try:
-            llm = AzureChatOpenAI(
-                model=model,
-                azure_endpoint=azure_endpoint,
-                azure_deployment=azure_deployment,
-                api_version=api_version,
-                api_key=api_key,
-                temperature=temperature,
-                max_tokens=max_tokens,
-            )
-        except Exception as e:
-            raise ValueError("Could not connect to AzureOpenAI API.") from e
-        return llm
diff --git a/src/backend/langflow/components/llms/BaiduQianfanChatEndpoints.py b/src/backend/langflow/components/llms/BaiduQianfanChatEndpoints.py
deleted file mode 100644
index fd7341e15df..00000000000
--- a/src/backend/langflow/components/llms/BaiduQianfanChatEndpoints.py
+++ /dev/null
@@ -1,95 +0,0 @@
-from typing import Optional
-
-from langchain_community.chat_models.baidu_qianfan_endpoint import QianfanChatEndpoint
-from langchain.llms.base import BaseLLM
-from pydantic.v1 import SecretStr
-
-from langflow import CustomComponent
-
-
-class QianfanChatEndpointComponent(CustomComponent):
-    display_name: str = "QianfanChatEndpoint"
-    description: str = (
-        "Baidu Qianfan chat models. Get more detail from "
-        "https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint."
-    )
-
-    def build_config(self):
-        return {
-            "model": {
-                "display_name": "Model Name",
-                "options": [
-                    "ERNIE-Bot",
-                    "ERNIE-Bot-turbo",
-                    "BLOOMZ-7B",
-                    "Llama-2-7b-chat",
-                    "Llama-2-13b-chat",
-                    "Llama-2-70b-chat",
-                    "Qianfan-BLOOMZ-7B-compressed",
-                    "Qianfan-Chinese-Llama-2-7B",
-                    "ChatGLM2-6B-32K",
-                    "AquilaChat-7B",
-                ],
-                "info": "https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint",
-                "required": True,
-            },
-            "qianfan_ak": {
-                "display_name": "Qianfan Ak",
-                "required": True,
-                "password": True,
-                "info": "which you could get from  https://cloud.baidu.com/product/wenxinworkshop",
-            },
-            "qianfan_sk": {
-                "display_name": "Qianfan Sk",
-                "required": True,
-                "password": True,
-                "info": "which you could get from  https://cloud.baidu.com/product/wenxinworkshop",
-            },
-            "top_p": {
-                "display_name": "Top p",
-                "field_type": "float",
-                "info": "Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo",
-                "value": 0.8,
-            },
-            "temperature": {
-                "display_name": "Temperature",
-                "field_type": "float",
-                "info": "Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo",
-                "value": 0.95,
-            },
-            "penalty_score": {
-                "display_name": "Penalty Score",
-                "field_type": "float",
-                "info": "Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo",
-                "value": 1.0,
-            },
-            "endpoint": {
-                "display_name": "Endpoint",
-                "info": "Endpoint of the Qianfan LLM, required if custom model used.",
-            },
-            "code": {"show": False},
-        }
-
-    def build(
-        self,
-        model: str = "ERNIE-Bot-turbo",
-        qianfan_ak: Optional[str] = None,
-        qianfan_sk: Optional[str] = None,
-        top_p: Optional[float] = None,
-        temperature: Optional[float] = None,
-        penalty_score: Optional[float] = None,
-        endpoint: Optional[str] = None,
-    ) -> BaseLLM:
-        try:
-            output = QianfanChatEndpoint(  # type: ignore
-                model=model,
-                qianfan_ak=SecretStr(qianfan_ak) if qianfan_ak else None,
-                qianfan_sk=SecretStr(qianfan_sk) if qianfan_sk else None,
-                top_p=top_p,
-                temperature=temperature,
-                penalty_score=penalty_score,
-                endpoint=endpoint,
-            )
-        except Exception as e:
-            raise ValueError("Could not connect to Baidu Qianfan API.") from e
-        return output  # type: ignore
diff --git a/src/backend/langflow/components/llms/BaiduQianfanLLMEndpoints.py b/src/backend/langflow/components/llms/BaiduQianfanLLMEndpoints.py
deleted file mode 100644
index 786c4516bb5..00000000000
--- a/src/backend/langflow/components/llms/BaiduQianfanLLMEndpoints.py
+++ /dev/null
@@ -1,92 +0,0 @@
-from typing import Optional
-from langflow import CustomComponent
-from langchain.llms.baidu_qianfan_endpoint import QianfanLLMEndpoint
-from langchain.llms.base import BaseLLM
-
-
-class QianfanLLMEndpointComponent(CustomComponent):
-    display_name: str = "QianfanLLMEndpoint"
-    description: str = (
-        "Baidu Qianfan hosted open source or customized models. "
-        "Get more detail from https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint"
-    )
-
-    def build_config(self):
-        return {
-            "model": {
-                "display_name": "Model Name",
-                "options": [
-                    "ERNIE-Bot",
-                    "ERNIE-Bot-turbo",
-                    "BLOOMZ-7B",
-                    "Llama-2-7b-chat",
-                    "Llama-2-13b-chat",
-                    "Llama-2-70b-chat",
-                    "Qianfan-BLOOMZ-7B-compressed",
-                    "Qianfan-Chinese-Llama-2-7B",
-                    "ChatGLM2-6B-32K",
-                    "AquilaChat-7B",
-                ],
-                "info": "https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint",
-                "required": True,
-            },
-            "qianfan_ak": {
-                "display_name": "Qianfan Ak",
-                "required": True,
-                "password": True,
-                "info": "which you could get from  https://cloud.baidu.com/product/wenxinworkshop",
-            },
-            "qianfan_sk": {
-                "display_name": "Qianfan Sk",
-                "required": True,
-                "password": True,
-                "info": "which you could get from  https://cloud.baidu.com/product/wenxinworkshop",
-            },
-            "top_p": {
-                "display_name": "Top p",
-                "field_type": "float",
-                "info": "Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo",
-                "value": 0.8,
-            },
-            "temperature": {
-                "display_name": "Temperature",
-                "field_type": "float",
-                "info": "Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo",
-                "value": 0.95,
-            },
-            "penalty_score": {
-                "display_name": "Penalty Score",
-                "field_type": "float",
-                "info": "Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo",
-                "value": 1.0,
-            },
-            "endpoint": {
-                "display_name": "Endpoint",
-                "info": "Endpoint of the Qianfan LLM, required if custom model used.",
-            },
-            "code": {"show": False},
-        }
-
-    def build(
-        self,
-        model: str = "ERNIE-Bot-turbo",
-        qianfan_ak: Optional[str] = None,
-        qianfan_sk: Optional[str] = None,
-        top_p: Optional[float] = None,
-        temperature: Optional[float] = None,
-        penalty_score: Optional[float] = None,
-        endpoint: Optional[str] = None,
-    ) -> BaseLLM:
-        try:
-            output = QianfanLLMEndpoint(  # type: ignore
-                model=model,
-                qianfan_ak=qianfan_ak,
-                qianfan_sk=qianfan_sk,
-                top_p=top_p,
-                temperature=temperature,
-                penalty_score=penalty_score,
-                endpoint=endpoint,
-            )
-        except Exception as e:
-            raise ValueError("Could not connect to Baidu Qianfan API.") from e
-        return output  # type: ignore
diff --git a/src/backend/langflow/components/llms/CTransformers.py b/src/backend/langflow/components/llms/CTransformers.py
deleted file mode 100644
index a0668814eda..00000000000
--- a/src/backend/langflow/components/llms/CTransformers.py
+++ /dev/null
@@ -1,33 +0,0 @@
-from typing import Dict, Optional
-
-from langchain_community.llms.ctransformers import CTransformers
-
-from langflow import CustomComponent
-
-
-class CTransformersComponent(CustomComponent):
-    display_name = "CTransformers"
-    description = "C Transformers LLM models"
-    documentation = "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/ctransformers"
-
-    def build_config(self):
-        return {
-            "model": {"display_name": "Model", "required": True},
-            "model_file": {
-                "display_name": "Model File",
-                "required": False,
-                "field_type": "file",
-                "file_types": [".bin"],
-            },
-            "model_type": {"display_name": "Model Type", "required": True},
-            "config": {
-                "display_name": "Config",
-                "advanced": True,
-                "required": False,
-                "field_type": "dict",
-                "value": '{"top_k":40,"top_p":0.95,"temperature":0.8,"repetition_penalty":1.1,"last_n_tokens":64,"seed":-1,"max_new_tokens":256,"stop":"","stream":"False","reset":"True","batch_size":8,"threads":-1,"context_length":-1,"gpu_layers":0}',
-            },
-        }
-
-    def build(self, model: str, model_file: str, model_type: str, config: Optional[Dict] = None) -> CTransformers:
-        return CTransformers(model=model, model_file=model_file, model_type=model_type, config=config)  # type: ignore
diff --git a/src/backend/langflow/components/llms/ChatAnthropic.py b/src/backend/langflow/components/llms/ChatAnthropic.py
deleted file mode 100644
index 02866d36624..00000000000
--- a/src/backend/langflow/components/llms/ChatAnthropic.py
+++ /dev/null
@@ -1,66 +0,0 @@
-from typing import Callable, Optional, Union
-
-from langchain_anthropic import ChatAnthropic
-from pydantic.v1.types import SecretStr
-
-from langflow import CustomComponent
-from langflow.field_typing import BaseLanguageModel
-
-
-class ChatAnthropicComponent(CustomComponent):
-    display_name = "ChatAnthropic"
-    description = "`Anthropic` chat large language models."
-    documentation = "https://python.langchain.com/docs/modules/model_io/models/chat/integrations/anthropic"
-
-    def build_config(self):
-        return {
-            "anthropic_api_key": {
-                "display_name": "Anthropic API Key",
-                "field_type": "str",
-                "password": True,
-            },
-            "model_kwargs": {
-                "display_name": "Model Kwargs",
-                "field_type": "dict",
-                "advanced": True,
-            },
-            "model_name": {
-                "display_name": "Model Name",
-                "field_type": "str",
-                "advanced": False,
-                "required": False,
-                "options": ["claude-3-opus-20240229", "claude-3-sonnet-20240229", "claude-3-haiku-20240307"],
-            },
-            "temperature": {
-                "display_name": "Temperature",
-                "field_type": "float",
-            },
-            "max_tokens": {
-                "display_name": "Max Tokens",
-                "field_type": "int",
-                "advanced": False,
-                "required": False,
-            },
-            "top_k": {"display_name": "Top K", "field_type": "int", "advanced": True},
-            "top_p": {"display_name": "Top P", "field_type": "float", "advanced": True},
-        }
-
-    def build(
-        self,
-        anthropic_api_key: str,
-        model_kwargs: dict = {},
-        model_name: str = "claude-3-opus-20240229",
-        temperature: Optional[float] = None,
-        max_tokens: Optional[int] = 1024,
-        top_k: Optional[int] = None,
-        top_p: Optional[float] = None,
-    ) -> Union[BaseLanguageModel, Callable]:
-        return ChatAnthropic(
-            anthropic_api_key=SecretStr(anthropic_api_key),
-            model_kwargs=model_kwargs,
-            model_name=model_name,
-            temperature=temperature,
-            max_tokens=max_tokens,  # type: ignore
-            top_k=top_k,
-            top_p=top_p,
-        )
diff --git a/src/backend/langflow/components/llms/ChatLiteLLM.py b/src/backend/langflow/components/llms/ChatLiteLLM.py
deleted file mode 100644
index f2b7f7dc35d..00000000000
--- a/src/backend/langflow/components/llms/ChatLiteLLM.py
+++ /dev/null
@@ -1,137 +0,0 @@
-import os
-from typing import Any, Callable, Dict, Optional, Union
-
-from langchain_community.chat_models.litellm import ChatLiteLLM, ChatLiteLLMException
-from langflow import CustomComponent
-from langflow.field_typing import BaseLanguageModel
-
-
-class ChatLiteLLMComponent(CustomComponent):
-    display_name = "ChatLiteLLM"
-    description = "`LiteLLM` collection of large language models."
-    documentation = "https://python.langchain.com/docs/integrations/chat/litellm"
-
-    def build_config(self):
-        return {
-            "model": {
-                "display_name": "Model name",
-                "field_type": "str",
-                "advanced": False,
-                "required": True,
-                "info": "The name of the model to use. For example, `gpt-3.5-turbo`.",
-            },
-            "api_key": {
-                "display_name": "API key",
-                "field_type": "str",
-                "advanced": False,
-                "required": False,
-                "password": True,
-            },
-            "streaming": {
-                "display_name": "Streaming",
-                "field_type": "bool",
-                "advanced": True,
-                "required": False,
-                "default": True,
-            },
-            "temperature": {
-                "display_name": "Temperature",
-                "field_type": "float",
-                "advanced": False,
-                "required": False,
-                "default": 0.7,
-            },
-            "model_kwargs": {
-                "display_name": "Model kwargs",
-                "field_type": "dict",
-                "advanced": True,
-                "required": False,
-                "default": {},
-            },
-            "top_p": {
-                "display_name": "Top p",
-                "field_type": "float",
-                "advanced": True,
-                "required": False,
-            },
-            "top_k": {
-                "display_name": "Top k",
-                "field_type": "int",
-                "advanced": True,
-                "required": False,
-            },
-            "n": {
-                "display_name": "N",
-                "field_type": "int",
-                "advanced": True,
-                "required": False,
-                "info": "Number of chat completions to generate for each prompt. "
-                "Note that the API may not return the full n completions if duplicates are generated.",
-                "default": 1,
-            },
-            "max_tokens": {
-                "display_name": "Max tokens",
-                "field_type": "int",
-                "advanced": False,
-                "required": False,
-                "default": 256,
-                "info": "The maximum number of tokens to generate for each chat completion.",
-            },
-            "max_retries": {
-                "display_name": "Max retries",
-                "field_type": "int",
-                "advanced": True,
-                "required": False,
-                "default": 6,
-            },
-            "verbose": {
-                "display_name": "Verbose",
-                "field_type": "bool",
-                "advanced": True,
-                "required": False,
-                "default": False,
-            },
-        }
-
-    def build(
-        self,
-        model: str,
-        api_key: str,
-        streaming: bool = True,
-        temperature: Optional[float] = 0.7,
-        model_kwargs: Optional[Dict[str, Any]] = {},
-        top_p: Optional[float] = None,
-        top_k: Optional[int] = None,
-        n: int = 1,
-        max_tokens: int = 256,
-        max_retries: int = 6,
-        verbose: bool = False,
-    ) -> Union[BaseLanguageModel, Callable]:
-        try:
-            import litellm  # type: ignore
-
-            litellm.drop_params = True
-            litellm.set_verbose = verbose
-        except ImportError:
-            raise ChatLiteLLMException(
-                "Could not import litellm python package. " "Please install it with `pip install litellm`"
-            )
-        if api_key:
-            if "perplexity" in model:
-                os.environ["PERPLEXITYAI_API_KEY"] = api_key
-            elif "replicate" in model:
-                os.environ["REPLICATE_API_KEY"] = api_key
-
-        LLM = ChatLiteLLM(
-            model=model,
-            client=None,
-            streaming=streaming,
-            temperature=temperature,
-            model_kwargs=model_kwargs if model_kwargs is not None else {},
-            top_p=top_p,
-            top_k=top_k,
-            n=n,
-            max_tokens=max_tokens,
-            max_retries=max_retries,
-        )
-        return LLM
diff --git a/src/backend/langflow/components/llms/ChatOllamaEndpoint.py b/src/backend/langflow/components/llms/ChatOllamaEndpoint.py
deleted file mode 100644
index 34e9e0bd784..00000000000
--- a/src/backend/langflow/components/llms/ChatOllamaEndpoint.py
+++ /dev/null
@@ -1,252 +0,0 @@
-from typing import Any, Dict, List, Optional
-
-# from langchain_community.chat_models import ChatOllama
-from langchain_community.chat_models import ChatOllama
-from langchain_core.language_models.chat_models import BaseChatModel
-
-# from langchain.chat_models import ChatOllama
-from langflow import CustomComponent
-
-# whe When a callback component is added to Langflow, the comment must be uncommented.
-# from langchain.callbacks.manager import CallbackManager
-
-
-class ChatOllamaComponent(CustomComponent):
-    display_name = "ChatOllama"
-    description = "Local LLM for chat with Ollama."
-
-    def build_config(self) -> dict:
-        return {
-            "base_url": {
-                "display_name": "Base URL",
-                "info": "Endpoint of the Ollama API. Defaults to 'http://localhost:11434' if not specified.",
-            },
-            "model": {
-                "display_name": "Model Name",
-                "value": "llama2",
-                "info": "Refer to https://ollama.ai/library for more models.",
-            },
-            "temperature": {
-                "display_name": "Temperature",
-                "field_type": "float",
-                "value": 0.8,
-                "info": "Controls the creativity of model responses.",
-            },
-            "cache": {
-                "display_name": "Cache",
-                "field_type": "bool",
-                "info": "Enable or disable caching.",
-                "advanced": True,
-                "value": False,
-            },
-            ### When a callback component is added to Langflow, the comment must be uncommented. ###
-            # "callback_manager": {
-            #     "display_name": "Callback Manager",
-            #     "info": "Optional callback manager for additional functionality.",
-            #     "advanced": True,
-            # },
-            # "callbacks": {
-            #     "display_name": "Callbacks",
-            #     "info": "Callbacks to execute during model runtime.",
-            #     "advanced": True,
-            # },
-            ########################################################################################
-            "format": {
-                "display_name": "Format",
-                "field_type": "str",
-                "info": "Specify the format of the output (e.g., json).",
-                "advanced": True,
-            },
-            "metadata": {
-                "display_name": "Metadata",
-                "info": "Metadata to add to the run trace.",
-                "advanced": True,
-            },
-            "mirostat": {
-                "display_name": "Mirostat",
-                "options": ["Disabled", "Mirostat", "Mirostat 2.0"],
-                "info": "Enable/disable Mirostat sampling for controlling perplexity.",
-                "value": "Disabled",
-                "advanced": True,
-            },
-            "mirostat_eta": {
-                "display_name": "Mirostat Eta",
-                "field_type": "float",
-                "info": "Learning rate for Mirostat algorithm. (Default: 0.1)",
-                "advanced": True,
-            },
-            "mirostat_tau": {
-                "display_name": "Mirostat Tau",
-                "field_type": "float",
-                "info": "Controls the balance between coherence and diversity of the output. (Default: 5.0)",
-                "advanced": True,
-            },
-            "num_ctx": {
-                "display_name": "Context Window Size",
-                "field_type": "int",
-                "info": "Size of the context window for generating tokens. (Default: 2048)",
-                "advanced": True,
-            },
-            "num_gpu": {
-                "display_name": "Number of GPUs",
-                "field_type": "int",
-                "info": "Number of GPUs to use for computation. (Default: 1 on macOS, 0 to disable)",
-                "advanced": True,
-            },
-            "num_thread": {
-                "display_name": "Number of Threads",
-                "field_type": "int",
-                "info": "Number of threads to use during computation. (Default: detected for optimal performance)",
-                "advanced": True,
-            },
-            "repeat_last_n": {
-                "display_name": "Repeat Last N",
-                "field_type": "int",
-                "info": "How far back the model looks to prevent repetition. (Default: 64, 0 = disabled, -1 = num_ctx)",
-                "advanced": True,
-            },
-            "repeat_penalty": {
-                "display_name": "Repeat Penalty",
-                "field_type": "float",
-                "info": "Penalty for repetitions in generated text. (Default: 1.1)",
-                "advanced": True,
-            },
-            "tfs_z": {
-                "display_name": "TFS Z",
-                "field_type": "float",
-                "info": "Tail free sampling value. (Default: 1)",
-                "advanced": True,
-            },
-            "timeout": {
-                "display_name": "Timeout",
-                "field_type": "int",
-                "info": "Timeout for the request stream.",
-                "advanced": True,
-            },
-            "top_k": {
-                "display_name": "Top K",
-                "field_type": "int",
-                "info": "Limits token selection to top K. (Default: 40)",
-                "advanced": True,
-            },
-            "top_p": {
-                "display_name": "Top P",
-                "field_type": "float",
-                "info": "Works together with top-k. (Default: 0.9)",
-                "advanced": True,
-            },
-            "verbose": {
-                "display_name": "Verbose",
-                "field_type": "bool",
-                "info": "Whether to print out response text.",
-            },
-            "tags": {
-                "display_name": "Tags",
-                "field_type": "list",
-                "info": "Tags to add to the run trace.",
-                "advanced": True,
-            },
-            "stop": {
-                "display_name": "Stop Tokens",
-                "field_type": "list",
-                "info": "List of tokens to signal the model to stop generating text.",
-                "advanced": True,
-            },
-            "system": {
-                "display_name": "System",
-                "field_type": "str",
-                "info": "System to use for generating text.",
-                "advanced": True,
-            },
-            "template": {
-                "display_name": "Template",
-                "field_type": "str",
-                "info": "Template to use for generating text.",
-                "advanced": True,
-            },
-        }
-
-    def build(
-        self,
-        base_url: Optional[str],
-        model: str,
-        mirostat: Optional[str],
-        mirostat_eta: Optional[float] = None,
-        mirostat_tau: Optional[float] = None,
-        ### When a callback component is added to Langflow, the comment must be uncommented.###
-        # callback_manager: Optional[CallbackManager] = None,
-        # callbacks: Optional[List[Callbacks]] = None,
-        #######################################################################################
-        repeat_last_n: Optional[int] = None,
-        verbose: Optional[bool] = None,
-        cache: Optional[bool] = None,
-        num_ctx: Optional[int] = None,
-        num_gpu: Optional[int] = None,
-        format: Optional[str] = None,
-        metadata: Optional[Dict[str, Any]] = None,
-        num_thread: Optional[int] = None,
-        repeat_penalty: Optional[float] = None,
-        stop: Optional[List[str]] = None,
-        system: Optional[str] = None,
-        tags: Optional[List[str]] = None,
-        temperature: Optional[float] = None,
-        template: Optional[str] = None,
-        tfs_z: Optional[float] = None,
-        timeout: Optional[int] = None,
-        top_k: Optional[int] = None,
-        top_p: Optional[int] = None,
-    ) -> BaseChatModel:
-        if not base_url:
-            base_url = "http://localhost:11434"
-
-        # Mapping mirostat settings to their corresponding values
-        mirostat_options = {"Mirostat": 1, "Mirostat 2.0": 2}
-
-        # Default to 0 for 'Disabled'
-        mirostat_value = mirostat_options.get(mirostat, 0)  # type: ignore
-
-        # Set mirostat_eta and mirostat_tau to None if mirostat is disabled
-        if mirostat_value == 0:
-            mirostat_eta = None
-            mirostat_tau = None
-
-        # Mapping system settings to their corresponding values
-        llm_params = {
-            "base_url": base_url,
-            "cache": cache,
-            "model": model,
-            "mirostat": mirostat_value,
-            "format": format,
-            "metadata": metadata,
-            "tags": tags,
-            ## When a callback component is added to Langflow, the comment must be uncommented.##
-            # "callback_manager": callback_manager,
-            # "callbacks": callbacks,
-            #####################################################################################
-            "mirostat_eta": mirostat_eta,
-            "mirostat_tau": mirostat_tau,
-            "num_ctx": num_ctx,
-            "num_gpu": num_gpu,
-            "num_thread": num_thread,
-            "repeat_last_n": repeat_last_n,
-            "repeat_penalty": repeat_penalty,
-            "temperature": temperature,
-            "stop": stop,
-            "system": system,
-            "template": template,
-            "tfs_z": tfs_z,
-            "timeout": timeout,
-            "top_k": top_k,
-            "top_p": top_p,
-            "verbose": verbose,
-        }
-
-        # None Value remove
-        llm_params = {k: v for k, v in llm_params.items() if v is not None}
-
-        try:
-            output = ChatOllama(**llm_params)  # type: ignore
-        except Exception as e:
-            raise ValueError("Could not initialize Ollama LLM.") from e
-
-        return output  # type: ignore
diff --git a/src/backend/langflow/components/llms/ChatOpenAI.py b/src/backend/langflow/components/llms/ChatOpenAI.py
deleted file mode 100644
index 9f9d61ef88a..00000000000
--- a/src/backend/langflow/components/llms/ChatOpenAI.py
+++ /dev/null
@@ -1,86 +0,0 @@
-from typing import Optional, Union
-
-from langchain.llms import BaseLLM
-from langchain_community.chat_models.openai import ChatOpenAI
-
-from langflow import CustomComponent
-from langflow.field_typing import BaseLanguageModel, NestedDict
-
-
-class ChatOpenAIComponent(CustomComponent):
-    display_name = "ChatOpenAI"
-    description = "`OpenAI` Chat large language models API."
-
-    def build_config(self):
-        return {
-            "max_tokens": {
-                "display_name": "Max Tokens",
-                "field_type": "int",
-                "advanced": False,
-                "required": False,
-            },
-            "model_kwargs": {
-                "display_name": "Model Kwargs",
-                "field_type": "NestedDict",
-                "advanced": True,
-                "required": False,
-            },
-            "model_name": {
-                "display_name": "Model Name",
-                "field_type": "str",
-                "advanced": False,
-                "required": False,
-                "options": [
-                    "gpt-4-turbo-preview",
-                    "gpt-4-0125-preview",
-                    "gpt-4-1106-preview",
-                    "gpt-4-vision-preview",
-                    "gpt-3.5-turbo-0125",
-                    "gpt-3.5-turbo-1106",
-                ],
-            },
-            "openai_api_base": {
-                "display_name": "OpenAI API Base",
-                "field_type": "str",
-                "advanced": False,
-                "required": False,
-                "info": (
-                    "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\n"
-                    "You can change this to use other APIs like JinaChat, LocalAI and Prem."
-                ),
-            },
-            "openai_api_key": {
-                "display_name": "OpenAI API Key",
-                "field_type": "str",
-                "advanced": False,
-                "required": False,
-                "password": True,
-            },
-            "temperature": {
-                "display_name": "Temperature",
-                "field_type": "float",
-                "advanced": False,
-                "required": False,
-                "value": 0.7,
-            },
-        }
-
-    def build(
-        self,
-        max_tokens: Optional[int] = 256,
-        model_kwargs: NestedDict = {},
-        model_name: str = "gpt-4-1106-preview",
-        openai_api_base: Optional[str] = None,
-        openai_api_key: Optional[str] = None,
-        temperature: float = 0.7,
-    ) -> Union[BaseLanguageModel, BaseLLM]:
-        if not openai_api_base:
-            openai_api_base = "https://api.openai.com/v1"
-        return ChatOpenAI(
-            max_tokens=max_tokens,
-            model_kwargs=model_kwargs,
-            model=model_name,
-            base_url=openai_api_base,
-            api_key=openai_api_key,
-            temperature=temperature,
-        )
diff --git a/src/backend/langflow/components/llms/ChatVertexAI.py b/src/backend/langflow/components/llms/ChatVertexAI.py
deleted file mode 100644
index 66235a1d8a9..00000000000
--- a/src/backend/langflow/components/llms/ChatVertexAI.py
+++ /dev/null
@@ -1,87 +0,0 @@
-from typing import List, Optional, Union
-
-from langchain.llms import BaseLLM
-from langchain_community.chat_models.vertexai import ChatVertexAI
-from langchain_core.messages.base import BaseMessage
-from langflow import CustomComponent
-from langflow.field_typing import BaseLanguageModel
-
-
-class ChatVertexAIComponent(CustomComponent):
-    display_name = "ChatVertexAI"
-    description = "`Vertex AI` Chat large language models API."
-
-    def build_config(self):
-        return {
-            "credentials": {
-                "display_name": "Credentials",
-                "field_type": "file",
-                "file_types": [".json"],
-                "file_path": None,
-            },
-            "examples": {
-                "display_name": "Examples",
-                "multiline": True,
-            },
-            "location": {
-                "display_name": "Location",
-                "value": "us-central1",
-            },
-            "max_output_tokens": {
-                "display_name": "Max Output Tokens",
-                "value": 128,
-                "advanced": True,
-            },
-            "model_name": {
-                "display_name": "Model Name",
-                "value": "chat-bison",
-            },
-            "project": {
-                "display_name": "Project",
-            },
-            "temperature": {
-                "display_name": "Temperature",
-                "value": 0.0,
-            },
-            "top_k": {
-                "display_name": "Top K",
-                "value": 40,
-                "advanced": True,
-            },
-            "top_p": {
-                "display_name": "Top P",
-                "value": 0.95,
-                "advanced": True,
-            },
-            "verbose": {
-                "display_name": "Verbose",
-                "value": False,
-                "advanced": True,
-            },
-        }
-
-    def build(
-        self,
-        credentials: Optional[str],
-        project: str,
-        examples: Optional[List[BaseMessage]] = [],
-        location: str = "us-central1",
-        max_output_tokens: int = 128,
-        model_name: str = "chat-bison",
-        temperature: float = 0.0,
-        top_k: int = 40,
-        top_p: float = 0.95,
-        verbose: bool = False,
-    ) -> Union[BaseLanguageModel, BaseLLM]:
-        return ChatVertexAI(
-            credentials=credentials,
-            examples=examples,
-            location=location,
-            max_output_tokens=max_output_tokens,
-            model_name=model_name,
-            project=project,
-            temperature=temperature,
-            top_k=top_k,
-            top_p=top_p,
-            verbose=verbose,
-        )
diff --git a/src/backend/langflow/components/llms/Cohere.py b/src/backend/langflow/components/llms/Cohere.py
deleted file mode 100644
index 3b74fc9b440..00000000000
--- a/src/backend/langflow/components/llms/Cohere.py
+++ /dev/null
@@ -1,24 +0,0 @@
-from langchain_community.llms.cohere import Cohere
-from langchain_core.language_models.base import BaseLanguageModel
-from langflow import CustomComponent
-
-
-class CohereComponent(CustomComponent):
-    display_name = "Cohere"
-    description = "Cohere large language models."
-    documentation = "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/cohere"
-
-    def build_config(self):
-        return {
-            "cohere_api_key": {"display_name": "Cohere API Key", "type": "password", "password": True},
-            "max_tokens": {"display_name": "Max Tokens", "default": 256, "type": "int", "show": True},
-            "temperature": {"display_name": "Temperature", "default": 0.75, "type": "float", "show": True},
-        }
-
-    def build(
-        self,
-        cohere_api_key: str,
-        max_tokens: int = 256,
-        temperature: float = 0.75,
-    ) -> BaseLanguageModel:
-        return Cohere(cohere_api_key=cohere_api_key, max_tokens=max_tokens, temperature=temperature)  # type: ignore
diff --git a/src/backend/langflow/components/llms/GoogleGenerativeAI.py b/src/backend/langflow/components/llms/GoogleGenerativeAI.py
deleted file mode 100644
index 2fa9002bb67..00000000000
--- a/src/backend/langflow/components/llms/GoogleGenerativeAI.py
+++ /dev/null
@@ -1,72 +0,0 @@
-from typing import Optional
-
-from langchain_google_genai import ChatGoogleGenerativeAI  # type: ignore
-from langflow import CustomComponent
-from langflow.field_typing import BaseLanguageModel, RangeSpec, TemplateField
-from pydantic.v1.types import SecretStr
-
-
-class GoogleGenerativeAIComponent(CustomComponent):
-    display_name: str = "Google Generative AI"
-    description: str = "A component that uses Google Generative AI to generate text."
-    documentation: str = "http://docs.langflow.org/components/custom"
-
-    def build_config(self):
-        return {
-            "google_api_key": TemplateField(
-                display_name="Google API Key",
-                info="The Google API Key to use for the Google Generative AI.",
-            ),
-            "max_output_tokens": TemplateField(
-                display_name="Max Output Tokens",
-                info="The maximum number of tokens to generate.",
-            ),
-            "temperature": TemplateField(
-                display_name="Temperature",
-                info="Run inference with this temperature. Must by in the closed interval [0.0, 1.0].",
-            ),
-            "top_k": TemplateField(
-                display_name="Top K",
-                info="Decode using top-k sampling: consider the set of top_k most probable tokens. Must be positive.",
-                range_spec=RangeSpec(min=0, max=2, step=0.1),
-                advanced=True,
-            ),
-            "top_p": TemplateField(
-                display_name="Top P",
-                info="The maximum cumulative probability of tokens to consider when sampling.",
-                advanced=True,
-            ),
-            "n": TemplateField(
-                display_name="N",
-                info="Number of chat completions to generate for each prompt. Note that the API may not return the full n completions if duplicates are generated.",
-                advanced=True,
-            ),
-            "model": TemplateField(
-                display_name="Model",
-                info="The name of the model to use. Supported examples: gemini-pro",
-                options=["gemini-pro", "gemini-pro-vision"],
-            ),
-            "code": TemplateField(
-                advanced=True,
-            ),
-        }
-
-    def build(
-        self,
-        google_api_key: str,
-        model: str,
-        max_output_tokens: Optional[int] = None,
-        temperature: float = 0.1,
-        top_k: Optional[int] = None,
-        top_p: Optional[float] = None,
-        n: Optional[int] = 1,
-    ) -> BaseLanguageModel:
-        return ChatGoogleGenerativeAI(
-            model=model,
-            max_output_tokens=max_output_tokens or None,  # type: ignore
-            temperature=temperature,
-            top_k=top_k or None,
-            top_p=top_p or None,  # type: ignore
-            n=n or 1,
-            google_api_key=SecretStr(google_api_key),
-        )
diff --git a/src/backend/langflow/components/llms/HuggingFaceEndpoints.py b/src/backend/langflow/components/llms/HuggingFaceEndpoints.py
deleted file mode 100644
index 579e3c0b347..00000000000
--- a/src/backend/langflow/components/llms/HuggingFaceEndpoints.py
+++ /dev/null
@@ -1,43 +0,0 @@
-from typing import Optional
-
-from langchain.llms.base import BaseLLM
-from langchain.llms.huggingface_endpoint import HuggingFaceEndpoint
-from langflow import CustomComponent
-
-
-class HuggingFaceEndpointsComponent(CustomComponent):
-    display_name: str = "Hugging Face Inference API"
-    description: str = "LLM model from Hugging Face Inference API."
-
-    def build_config(self):
-        return {
-            "endpoint_url": {"display_name": "Endpoint URL", "password": True},
-            "task": {
-                "display_name": "Task",
-                "options": ["text2text-generation", "text-generation", "summarization"],
-            },
-            "huggingfacehub_api_token": {"display_name": "API token", "password": True},
-            "model_kwargs": {
-                "display_name": "Model Keyword Arguments",
-                "field_type": "code",
-            },
-            "code": {"show": False},
-        }
-
-    def build(
-        self,
-        endpoint_url: str,
-        task: str = "text2text-generation",
-        huggingfacehub_api_token: Optional[str] = None,
-        model_kwargs: Optional[dict] = None,
-    ) -> BaseLLM:
-        try:
-            output = HuggingFaceEndpoint(  # type: ignore
-                endpoint_url=endpoint_url,
-                task=task,
-                huggingfacehub_api_token=huggingfacehub_api_token,
-                model_kwargs=model_kwargs or {},
-            )
-        except Exception as e:
-            raise ValueError("Could not connect to HuggingFace Endpoints API.") from e
-        return output
diff --git a/src/backend/langflow/components/llms/LlamaCpp.py b/src/backend/langflow/components/llms/LlamaCpp.py
deleted file mode 100644
index 831665bfa4d..00000000000
--- a/src/backend/langflow/components/llms/LlamaCpp.py
+++ /dev/null
@@ -1,129 +0,0 @@
-from typing import Optional, List, Dict, Any
-from langflow import CustomComponent
-from langchain_community.llms.llamacpp import LlamaCpp
-
-
-class LlamaCppComponent(CustomComponent):
-    display_name = "LlamaCpp"
-    description = "llama.cpp model."
-    documentation = "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/llamacpp"
-
-    def build_config(self):
-        return {
-            "grammar": {"display_name": "Grammar", "advanced": True},
-            "cache": {"display_name": "Cache", "advanced": True},
-            "client": {"display_name": "Client", "advanced": True},
-            "echo": {"display_name": "Echo", "advanced": True},
-            "f16_kv": {"display_name": "F16 KV", "advanced": True},
-            "grammar_path": {"display_name": "Grammar Path", "advanced": True},
-            "last_n_tokens_size": {"display_name": "Last N Tokens Size", "advanced": True},
-            "logits_all": {"display_name": "Logits All", "advanced": True},
-            "logprobs": {"display_name": "Logprobs", "advanced": True},
-            "lora_base": {"display_name": "Lora Base", "advanced": True},
-            "lora_path": {"display_name": "Lora Path", "advanced": True},
-            "max_tokens": {"display_name": "Max Tokens", "advanced": True},
-            "metadata": {"display_name": "Metadata", "advanced": True},
-            "model_kwargs": {"display_name": "Model Kwargs", "advanced": True},
-            "model_path": {
-                "display_name": "Model Path",
-                "field_type": "file",
-                "file_types": [".bin"],
-                "required": True,
-            },
-            "n_batch": {"display_name": "N Batch", "advanced": True},
-            "n_ctx": {"display_name": "N Ctx", "advanced": True},
-            "n_gpu_layers": {"display_name": "N GPU Layers", "advanced": True},
-            "n_parts": {"display_name": "N Parts", "advanced": True},
-            "n_threads": {"display_name": "N Threads", "advanced": True},
-            "repeat_penalty": {"display_name": "Repeat Penalty", "advanced": True},
-            "rope_freq_base": {"display_name": "Rope Freq Base", "advanced": True},
-            "rope_freq_scale": {"display_name": "Rope Freq Scale", "advanced": True},
-            "seed": {"display_name": "Seed", "advanced": True},
-            "stop": {"display_name": "Stop", "advanced": True},
-            "streaming": {"display_name": "Streaming", "advanced": True},
-            "suffix": {"display_name": "Suffix", "advanced": True},
-            "tags": {"display_name": "Tags", "advanced": True},
-            "temperature": {"display_name": "Temperature"},
-            "top_k": {"display_name": "Top K", "advanced": True},
-            "top_p": {"display_name": "Top P", "advanced": True},
-            "use_mlock": {"display_name": "Use Mlock", "advanced": True},
-            "use_mmap": {"display_name": "Use Mmap", "advanced": True},
-            "verbose": {"display_name": "Verbose", "advanced": True},
-            "vocab_only": {"display_name": "Vocab Only", "advanced": True},
-        }
-
-    def build(
-        self,
-        model_path: str,
-        grammar: Optional[str] = None,
-        cache: Optional[bool] = None,
-        client: Optional[Any] = None,
-        echo: Optional[bool] = False,
-        f16_kv: bool = True,
-        grammar_path: Optional[str] = None,
-        last_n_tokens_size: Optional[int] = 64,
-        logits_all: bool = False,
-        logprobs: Optional[int] = None,
-        lora_base: Optional[str] = None,
-        lora_path: Optional[str] = None,
-        max_tokens: Optional[int] = 256,
-        metadata: Optional[Dict] = None,
-        model_kwargs: Dict = {},
-        n_batch: Optional[int] = 8,
-        n_ctx: int = 512,
-        n_gpu_layers: Optional[int] = 1,
-        n_parts: int = -1,
-        n_threads: Optional[int] = 1,
-        repeat_penalty: Optional[float] = 1.1,
-        rope_freq_base: float = 10000.0,
-        rope_freq_scale: float = 1.0,
-        seed: int = -1,
-        stop: Optional[List[str]] = [],
-        streaming: bool = True,
-        suffix: Optional[str] = "",
-        tags: Optional[List[str]] = [],
-        temperature: Optional[float] = 0.8,
-        top_k: Optional[int] = 40,
-        top_p: Optional[float] = 0.95,
-        use_mlock: bool = False,
-        use_mmap: Optional[bool] = True,
-        verbose: bool = True,
-        vocab_only: bool = False,
-    ) -> LlamaCpp:
-        return LlamaCpp(
-            model_path=model_path,
-            grammar=grammar,
-            cache=cache,
-            client=client,
-            echo=echo,
-            f16_kv=f16_kv,
-            grammar_path=grammar_path,
-            last_n_tokens_size=last_n_tokens_size,
-            logits_all=logits_all,
-            logprobs=logprobs,
-            lora_base=lora_base,
-            lora_path=lora_path,
-            max_tokens=max_tokens,
-            metadata=metadata,
-            model_kwargs=model_kwargs,
-            n_batch=n_batch,
-            n_ctx=n_ctx,
-            n_gpu_layers=n_gpu_layers,
-            n_parts=n_parts,
-            n_threads=n_threads,
-            repeat_penalty=repeat_penalty,
-            rope_freq_base=rope_freq_base,
-            rope_freq_scale=rope_freq_scale,
-            seed=seed,
-            stop=stop,
-            streaming=streaming,
-            suffix=suffix,
-            tags=tags,
-            temperature=temperature,
-            top_k=top_k,
-            top_p=top_p,
-            use_mlock=use_mlock,
-            use_mmap=use_mmap,
-            verbose=verbose,
-            vocab_only=vocab_only,
-        )
diff --git a/src/backend/langflow/components/llms/OllamaLLM.py b/src/backend/langflow/components/llms/OllamaLLM.py
deleted file mode 100644
index eb5c529750c..00000000000
--- a/src/backend/langflow/components/llms/OllamaLLM.py
+++ /dev/null
@@ -1,158 +0,0 @@
-from typing import List, Optional
-
-from langchain.llms.base import BaseLLM
-from langchain_community.llms.ollama import Ollama
-
-from langflow import CustomComponent
-
-
-class OllamaLLM(CustomComponent):
-    display_name = "Ollama"
-    description = "Local LLM with Ollama."
-
-    def build_config(self) -> dict:
-        return {
-            "base_url": {
-                "display_name": "Base URL",
-                "info": "Endpoint of the Ollama API. Defaults to 'http://localhost:11434' if not specified.",
-            },
-            "model": {
-                "display_name": "Model Name",
-                "value": "llama2",
-                "info": "Refer to https://ollama.ai/library for more models.",
-            },
-            "temperature": {
-                "display_name": "Temperature",
-                "field_type": "float",
-                "value": 0.8,
-                "info": "Controls the creativity of model responses.",
-            },
-            "mirostat": {
-                "display_name": "Mirostat",
-                "options": ["Disabled", "Mirostat", "Mirostat 2.0"],
-                "info": "Enable/disable Mirostat sampling for controlling perplexity.",
-                "value": "Disabled",
-                "advanced": True,
-            },
-            "mirostat_eta": {
-                "display_name": "Mirostat Eta",
-                "field_type": "float",
-                "info": "Learning rate influencing the algorithm's response to feedback.",
-                "advanced": True,
-            },
-            "mirostat_tau": {
-                "display_name": "Mirostat Tau",
-                "field_type": "float",
-                "info": "Controls balance between coherence and diversity.",
-                "advanced": True,
-            },
-            "num_ctx": {
-                "display_name": "Context Window Size",
-                "field_type": "int",
-                "info": "Size of the context window for generating the next token.",
-                "advanced": True,
-            },
-            "num_gpu": {
-                "display_name": "Number of GPUs",
-                "field_type": "int",
-                "info": "Number of GPUs to use for computation.",
-                "advanced": True,
-            },
-            "num_thread": {
-                "display_name": "Number of Threads",
-                "field_type": "int",
-                "info": "Number of threads to use during computation.",
-                "advanced": True,
-            },
-            "repeat_last_n": {
-                "display_name": "Repeat Last N",
-                "field_type": "int",
-                "info": "Sets how far back the model looks to prevent repetition.",
-                "advanced": True,
-            },
-            "repeat_penalty": {
-                "display_name": "Repeat Penalty",
-                "field_type": "float",
-                "info": "Penalty for repetitions in generated text.",
-                "advanced": True,
-            },
-            "stop": {
-                "display_name": "Stop Tokens",
-                "info": "List of tokens to signal the model to stop generating text.",
-                "advanced": True,
-            },
-            "tfs_z": {
-                "display_name": "TFS Z",
-                "field_type": "float",
-                "info": "Tail free sampling to reduce impact of less probable tokens.",
-                "advanced": True,
-            },
-            "top_k": {
-                "display_name": "Top K",
-                "field_type": "int",
-                "info": "Limits token selection to top K for reducing nonsense generation.",
-                "advanced": True,
-            },
-            "top_p": {
-                "display_name": "Top P",
-                "field_type": "int",
-                "info": "Works with top-k to control diversity of generated text.",
-                "advanced": True,
-            },
-        }
-
-    def build(
-        self,
-        base_url: Optional[str],
-        model: str,
-        temperature: Optional[float],
-        mirostat: Optional[str],
-        mirostat_eta: Optional[float] = None,
-        mirostat_tau: Optional[float] = None,
-        num_ctx: Optional[int] = None,
-        num_gpu: Optional[int] = None,
-        num_thread: Optional[int] = None,
-        repeat_last_n: Optional[int] = None,
-        repeat_penalty: Optional[float] = None,
-        stop: Optional[List[str]] = None,
-        tfs_z: Optional[float] = None,
-        top_k: Optional[int] = None,
-        top_p: Optional[int] = None,
-    ) -> BaseLLM:
-        if not base_url:
-            base_url = "http://localhost:11434"
-
-        # Mapping mirostat settings to their corresponding values
-        mirostat_options = {"Mirostat": 1, "Mirostat 2.0": 2}
-
-        # Default to 0 for 'Disabled'
-        mirostat_value = mirostat_options.get(mirostat, 0)  # type: ignore
-
-        # Set mirostat_eta and mirostat_tau to None if mirostat is disabled
-        if mirostat_value == 0:
-            mirostat_eta = None
-            mirostat_tau = None
-
-        try:
-            llm = Ollama(
-                base_url=base_url,
-                model=model,
-                mirostat=mirostat_value,
-                mirostat_eta=mirostat_eta,
-                mirostat_tau=mirostat_tau,
-                num_ctx=num_ctx,
-                num_gpu=num_gpu,
-                num_thread=num_thread,
-                repeat_last_n=repeat_last_n,
-                repeat_penalty=repeat_penalty,
-                temperature=temperature,
-                stop=stop,
-                tfs_z=tfs_z,
-                top_k=top_k,
-                top_p=top_p,
-            )
-
-        except Exception as e:
-            raise ValueError("Could not connect to Ollama.") from e
-
-        return llm
diff --git a/src/backend/langflow/components/llms/VertexAI.py b/src/backend/langflow/components/llms/VertexAI.py
deleted file mode 100644
index 008451bc8e0..00000000000
--- a/src/backend/langflow/components/llms/VertexAI.py
+++ /dev/null
@@ -1,147 +0,0 @@
-from langflow import CustomComponent
-from langchain.llms import BaseLLM
-from typing import Optional, Union, Callable, Dict
-from langchain_community.llms.vertexai import VertexAI
-
-
-class VertexAIComponent(CustomComponent):
-    display_name = "VertexAI"
-    description = "Google Vertex AI large language models"
-
-    def build_config(self):
-        return {
-            "credentials": {
-                "display_name": "Credentials",
-                "field_type": "file",
-                "file_types": [".json"],
-                "required": False,
-                "value": None,
-            },
-            "location": {
-                "display_name": "Location",
-                "type": "str",
-                "advanced": True,
-                "value": "us-central1",
-                "required": False,
-            },
-            "max_output_tokens": {
-                "display_name": "Max Output Tokens",
-                "field_type": "int",
-                "value": 128,
-                "required": False,
-                "advanced": True,
-            },
-            "max_retries": {
-                "display_name": "Max Retries",
-                "type": "int",
-                "value": 6,
-                "required": False,
-                "advanced": True,
-            },
-            "metadata": {
-                "display_name": "Metadata",
-                "field_type": "dict",
-                "required": False,
-                "default": {},
-            },
-            "model_name": {
-                "display_name": "Model Name",
-                "type": "str",
-                "value": "text-bison",
-                "required": False,
-            },
-            "n": {
-                "advanced": True,
-                "display_name": "N",
-                "field_type": "int",
-                "value": 1,
-                "required": False,
-            },
-            "project": {
-                "display_name": "Project",
-                "type": "str",
-                "required": False,
-                "default": None,
-            },
-            "request_parallelism": {
-                "display_name": "Request Parallelism",
-                "field_type": "int",
-                "value": 5,
-                "required": False,
-                "advanced": True,
-            },
-            "streaming": {
-                "display_name": "Streaming",
-                "field_type": "bool",
-                "value": False,
-                "required": False,
-                "advanced": True,
-            },
-            "temperature": {
-                "display_name": "Temperature",
-                "field_type": "float",
-                "value": 0.0,
-                "required": False,
-                "advanced": True,
-            },
-            "top_k": {"display_name": "Top K", "type": "int", "default": 40, "required": False, "advanced": True},
-            "top_p": {
-                "display_name": "Top P",
-                "field_type": "float",
-                "value": 0.95,
-                "required": False,
-                "advanced": True,
-            },
-            "tuned_model_name": {
-                "display_name": "Tuned Model Name",
-                "type": "str",
-                "required": False,
-                "value": None,
-                "advanced": True,
-            },
-            "verbose": {
-                "display_name": "Verbose",
-                "field_type": "bool",
-                "value": False,
-                "required": False,
-            },
-            "name": {"display_name": "Name", "field_type": "str"},
-        }
-
-    def build(
-        self,
-        credentials: Optional[str] = None,
-        location: str = "us-central1",
-        max_output_tokens: int = 128,
-        max_retries: int = 6,
-        metadata: Dict = {},
-        model_name: str = "text-bison",
-        n: int = 1,
-        name: Optional[str] = None,
-        project: Optional[str] = None,
-        request_parallelism: int = 5,
-        streaming: bool = False,
-        temperature: float = 0.0,
-        top_k: int = 40,
-        top_p: float = 0.95,
-        tuned_model_name: Optional[str] = None,
-        verbose: bool = False,
-    ) -> Union[BaseLLM, Callable]:
-        return VertexAI(
-            credentials=credentials,
-            location=location,
-            max_output_tokens=max_output_tokens,
-            max_retries=max_retries,
-            metadata=metadata,
-            model_name=model_name,
-            n=n,
-            name=name,
-            project=project,
-            request_parallelism=request_parallelism,
-            streaming=streaming,
-            temperature=temperature,
-            top_k=top_k,
-            top_p=top_p,
-            tuned_model_name=tuned_model_name,
-            verbose=verbose,
-        )
diff --git a/src/backend/langflow/components/retrievers/MetalRetriever.py b/src/backend/langflow/components/retrievers/MetalRetriever.py
deleted file mode 100644
index 88393f26ddb..00000000000
--- a/src/backend/langflow/components/retrievers/MetalRetriever.py
+++ /dev/null
@@ -1,26 +0,0 @@
-from typing import Optional
-from langflow import CustomComponent
-from langchain.retrievers import MetalRetriever
-from langchain.schema import BaseRetriever
-from metal_sdk.metal import Metal  # type: ignore
-
-
-class MetalRetrieverComponent(CustomComponent):
-    display_name: str = "Metal Retriever"
-    description: str = "Retriever that uses the Metal API."
-
-    def build_config(self):
-        return {
-            "api_key": {"display_name": "API Key", "password": True},
-            "client_id": {"display_name": "Client ID", "password": True},
-            "index_id": {"display_name": "Index ID"},
-            "params": {"display_name": "Parameters"},
-            "code": {"show": False},
-        }
-
-    def build(self, api_key: str, client_id: str, index_id: str, params: Optional[dict] = None) -> BaseRetriever:
-        try:
-            metal = Metal(api_key=api_key, client_id=client_id, index_id=index_id)
-        except Exception as e:
-            raise ValueError("Could not connect to Metal API.") from e
-        return MetalRetriever(client=metal, params=params or {})
diff --git a/src/backend/langflow/components/textsplitters/CharacterTextSplitter.py b/src/backend/langflow/components/textsplitters/CharacterTextSplitter.py
deleted file mode 100644
index 1bfd2d2e3a4..00000000000
--- a/src/backend/langflow/components/textsplitters/CharacterTextSplitter.py
+++ /dev/null
@@ -1,33 +0,0 @@
-from typing import List
-
-from langchain.text_splitter import CharacterTextSplitter
-from langchain_core.documents.base import Document
-from langflow import CustomComponent
-
-
-class CharacterTextSplitterComponent(CustomComponent):
-    display_name = "CharacterTextSplitter"
-    description = "Splitting text that looks at characters."
-
-    def build_config(self):
-        return {
-            "documents": {"display_name": "Documents"},
-            "chunk_overlap": {"display_name": "Chunk Overlap", "default": 200},
-            "chunk_size": {"display_name": "Chunk Size", "default": 1000},
-            "separator": {"display_name": "Separator", "default": "\n"},
-        }
-
-    def build(
-        self,
-        documents: List[Document],
-        chunk_overlap: int = 200,
-        chunk_size: int = 1000,
-        separator: str = "\n",
-    ) -> List[Document]:
-        docs = CharacterTextSplitter(
-            chunk_overlap=chunk_overlap,
-            chunk_size=chunk_size,
-            separator=separator,
-        ).split_documents(documents)
-        self.status = docs
-        return docs
diff --git a/src/backend/langflow/components/textsplitters/RecursiveCharacterTextSplitter.py b/src/backend/langflow/components/textsplitters/RecursiveCharacterTextSplitter.py
deleted file mode 100644
index d07ae3ebe85..00000000000
--- a/src/backend/langflow/components/textsplitters/RecursiveCharacterTextSplitter.py
+++ /dev/null
@@ -1,81 +0,0 @@
-from typing import Optional
-
-from langchain_core.documents import Document
-
-from langflow import CustomComponent
-from langflow.utils.util import build_loader_repr_from_documents
-from langchain.text_splitter import RecursiveCharacterTextSplitter
-
-
-class RecursiveCharacterTextSplitterComponent(CustomComponent):
-    display_name: str = "Recursive Character Text Splitter"
-    description: str = "Split text into chunks of a specified length."
-    documentation: str = "https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter"
-
-    def build_config(self):
-        return {
-            "documents": {
-                "display_name": "Documents",
-                "info": "The documents to split.",
-            },
-            "separators": {
-                "display_name": "Separators",
-                "info": 'The characters to split on.\nIf left empty defaults to ["\\n\\n", "\\n", " ", ""].',
-                "is_list": True,
-            },
-            "chunk_size": {
-                "display_name": "Chunk Size",
-                "info": "The maximum length of each chunk.",
-                "field_type": "int",
-                "value": 1000,
-            },
-            "chunk_overlap": {
-                "display_name": "Chunk Overlap",
-                "info": "The amount of overlap between chunks.",
-                "field_type": "int",
-                "value": 200,
-            },
-            "code": {"show": False},
-        }
-
-    def build(
-        self,
-        documents: list[Document],
-        separators: Optional[list[str]] = None,
-        chunk_size: Optional[int] = 1000,
-        chunk_overlap: Optional[int] = 200,
-    ) -> list[Document]:
-        """
-        Split text into chunks of a specified length.
-
-        Args:
-            separators (list[str]): The characters to split on.
-            chunk_size (int): The maximum length of each chunk.
-            chunk_overlap (int): The amount of overlap between chunks.
-            length_function (function): The function to use to calculate the length of the text.
-
-        Returns:
-            list[str]: The chunks of text.
-        """
-
-        if separators == "":
-            separators = None
-        elif separators:
-            # check if the separators list has escaped characters
-            # if there are escaped characters, unescape them
-            separators = [x.encode().decode("unicode-escape") for x in separators]
-
-        # Make sure chunk_size and chunk_overlap are ints
-        if isinstance(chunk_size, str):
-            chunk_size = int(chunk_size)
-        if isinstance(chunk_overlap, str):
-            chunk_overlap = int(chunk_overlap)
-        splitter = RecursiveCharacterTextSplitter(
-            separators=separators,
-            chunk_size=chunk_size,
-            chunk_overlap=chunk_overlap,
-        )
-
-        docs = splitter.split_documents(documents)
-        self.repr_value = build_loader_repr_from_documents(docs)
-        return docs
diff --git a/src/backend/langflow/components/toolkits/JsonToolkit.py b/src/backend/langflow/components/toolkits/JsonToolkit.py
deleted file mode 100644
index ec9e496213b..00000000000
--- a/src/backend/langflow/components/toolkits/JsonToolkit.py
+++ /dev/null
@@ -1,16 +0,0 @@
-from langflow import CustomComponent
-from langchain_community.tools.json.tool import JsonSpec
-from langchain_community.agent_toolkits.json.toolkit import JsonToolkit
-
-
-class JsonToolkitComponent(CustomComponent):
-    display_name = "JsonToolkit"
-    description = "Toolkit for interacting with a JSON spec."
-
-    def build_config(self):
-        return {
-            "spec": {"display_name": "Spec", "type": JsonSpec},
-        }
-
-    def build(self, spec: JsonSpec) -> JsonToolkit:
-        return JsonToolkit(spec=spec)
diff --git a/src/backend/langflow/components/toolkits/OpenAPIToolkit.py b/src/backend/langflow/components/toolkits/OpenAPIToolkit.py
deleted file mode 100644
index fc878045457..00000000000
--- a/src/backend/langflow/components/toolkits/OpenAPIToolkit.py
+++ /dev/null
@@ -1,22 +0,0 @@
-from langchain_community.agent_toolkits.openapi.toolkit import BaseToolkit, OpenAPIToolkit
-from langchain_community.utilities.requests import TextRequestsWrapper
-from langflow import CustomComponent
-from langflow.field_typing import AgentExecutor
-
-
-class OpenAPIToolkitComponent(CustomComponent):
-    display_name = "OpenAPIToolkit"
-    description = "Toolkit for interacting with an OpenAPI API."
-
-    def build_config(self):
-        return {
-            "json_agent": {"display_name": "JSON Agent"},
-            "requests_wrapper": {"display_name": "Text Requests Wrapper"},
-        }
-
-    def build(
-        self,
-        json_agent: AgentExecutor,
-        requests_wrapper: TextRequestsWrapper,
-    ) -> BaseToolkit:
-        return OpenAPIToolkit(json_agent=json_agent, requests_wrapper=requests_wrapper)
diff --git a/src/backend/langflow/components/toolkits/VectorStoreRouterToolkit.py b/src/backend/langflow/components/toolkits/VectorStoreRouterToolkit.py
deleted file mode 100644
index ed87970440c..00000000000
--- a/src/backend/langflow/components/toolkits/VectorStoreRouterToolkit.py
+++ /dev/null
@@ -1,23 +0,0 @@
-from langflow import CustomComponent
-from typing import List, Union
-from langchain.agents.agent_toolkits.vectorstore.toolkit import VectorStoreRouterToolkit
-from langchain.agents.agent_toolkits.vectorstore.toolkit import VectorStoreInfo
-from langflow.field_typing import BaseLanguageModel, Tool
-
-
-class VectorStoreRouterToolkitComponent(CustomComponent):
-    display_name = "VectorStoreRouterToolkit"
-    description = "Toolkit for routing between Vector Stores."
-
-    def build_config(self):
-        return {
-            "vectorstores": {"display_name": "Vector Stores"},
-            "llm": {"display_name": "LLM"},
-        }
-
-    def build(
-        self, vectorstores: List[VectorStoreInfo], llm: BaseLanguageModel
-    ) -> Union[Tool, VectorStoreRouterToolkit]:
-        print("vectorstores", vectorstores)
-        print("llm", llm)
-        return VectorStoreRouterToolkit(vectorstores=vectorstores, llm=llm)
diff --git a/src/backend/langflow/components/toolkits/VectorStoreToolkit.py b/src/backend/langflow/components/toolkits/VectorStoreToolkit.py
deleted file mode 100644
index 38b9c917123..00000000000
--- a/src/backend/langflow/components/toolkits/VectorStoreToolkit.py
+++ /dev/null
@@ -1,28 +0,0 @@
-from langflow import CustomComponent
-from langchain.agents.agent_toolkits.vectorstore.toolkit import VectorStoreToolkit
-from langchain.agents.agent_toolkits.vectorstore.toolkit import VectorStoreInfo
-from langflow.field_typing import (
-    BaseLanguageModel,
-)
-from langflow.field_typing import (
-    Tool,
-)
-from typing import Union
-
-
-class VectorStoreToolkitComponent(CustomComponent):
-    display_name = "VectorStoreToolkit"
-    description = "Toolkit for interacting with a Vector Store."
-
-    def build_config(self):
-        return {
-            "vectorstore_info": {"display_name": "Vector Store Info"},
-            "llm": {"display_name": "LLM"},
-        }
-
-    def build(
-        self,
-        vectorstore_info: VectorStoreInfo,
-        llm: BaseLanguageModel,
-    ) -> Union[Tool, VectorStoreToolkit]:
-        return VectorStoreToolkit(vectorstore_info=vectorstore_info, llm=llm)
diff --git a/src/backend/langflow/components/tools/SearchApi.py b/src/backend/langflow/components/tools/SearchApi.py
deleted file mode 100644
index 53da6c7415f..00000000000
--- a/src/backend/langflow/components/tools/SearchApi.py
+++ /dev/null
@@ -1,51 +0,0 @@
-from langflow import CustomComponent
-from langchain.schema import Document
-from langflow.services.database.models.base import orjson_dumps
-from langchain_community.utilities.searchapi import SearchApiAPIWrapper
-from typing import Optional
-
-
-class SearchApi(CustomComponent):
-    display_name: str = "SearchApi"
-    description: str = "Real-time search engine results API."
-    output_types: list[str] = ["Document"]
-    documentation: str = "https://www.searchapi.io/docs/google"
-    field_config = {
-        "engine": {
-            "display_name": "Engine",
-            "field_type": "str",
-            "info": "The search engine to use.",
-        },
-        "params": {
-            "display_name": "Parameters",
-            "info": "The parameters to send with the request.",
-        },
-        "code": {"show": False},
-        "api_key": {
-            "display_name": "API Key",
-            "field_type": "str",
-            "required": True,
-            "password": True,
-            "info": "The API key to use SearchApi.",
-        },
-    }
-
-    def build(
-        self,
-        engine: str,
-        api_key: str,
-        params: Optional[dict] = None,
-    ) -> Document:
-        if params is None:
-            params = {}
-
-        search_api_wrapper = SearchApiAPIWrapper(engine=engine, searchapi_api_key=api_key)
-
-        q = params.pop("q", "SearchApi Langflow")
-        results = search_api_wrapper.results(q, **params)
-
-        result = orjson_dumps(results, indent_2=False)
-
-        document = Document(page_content=result)
-
-        return document
diff --git a/src/backend/langflow/components/utilities/GetRequest.py b/src/backend/langflow/components/utilities/GetRequest.py
deleted file mode 100644
index b143a8e7e95..00000000000
--- a/src/backend/langflow/components/utilities/GetRequest.py
+++ /dev/null
@@ -1,74 +0,0 @@
-from typing import Optional
-
-import requests
-from langchain_core.documents import Document
-from langflow import CustomComponent
-from langflow.services.database.models.base import orjson_dumps
-
-
-class GetRequest(CustomComponent):
-    display_name: str = "GET Request"
-    description: str = "Make a GET request to the given URL."
-    output_types: list[str] = ["Document"]
-    documentation: str = "https://docs.langflow.org/components/utilities#get-request"
-    beta: bool = True
-    field_config = {
-        "url": {
-            "display_name": "URL",
-            "info": "The URL to make the request to",
-            "is_list": True,
-        },
-        "headers": {
-            "display_name": "Headers",
-            "info": "The headers to send with the request.",
-        },
-        "code": {"show": False},
-        "timeout": {
-            "display_name": "Timeout",
-            "field_type": "int",
-            "info": "The timeout to use for the request.",
-            "value": 5,
-        },
-    }
-
-    def get_document(self, session: requests.Session, url: str, headers: Optional[dict], timeout: int) -> Document:
-        try:
-            response = session.get(url, headers=headers, timeout=int(timeout))
-            try:
-                response_json = response.json()
-                result = orjson_dumps(response_json, indent_2=False)
-            except Exception:
-                result = response.text
-            self.repr_value = result
-            return Document(
-                page_content=result,
-                metadata={
-                    "source": url,
-                    "headers": headers,
-                    "status_code": response.status_code,
-                },
-            )
-        except requests.Timeout:
-            return Document(
-                page_content="Request Timed Out",
-                metadata={"source": url, "headers": headers, "status_code": 408},
-            )
-        except Exception as exc:
-            return Document(
-                page_content=str(exc),
-                metadata={"source": url, "headers": headers, "status_code": 500},
-            )
-
-    def build(
-        self,
-        url: str,
-        headers: Optional[dict] = None,
-        timeout: int = 5,
-    ) -> list[Document]:
-        if headers is None:
-            headers = {}
-        urls = url if isinstance(url, list) else [url]
-        with requests.Session() as session:
-            documents = [self.get_document(session, u, headers, timeout) for u in urls]
-            self.repr_value = documents
-        return documents
diff --git a/src/backend/langflow/components/utilities/PostRequest.py b/src/backend/langflow/components/utilities/PostRequest.py
deleted file mode 100644
index baf734f54be..00000000000
--- a/src/backend/langflow/components/utilities/PostRequest.py
+++ /dev/null
@@ -1,77 +0,0 @@
-from typing import Optional
-
-import requests
-from langchain_core.documents import Document
-from langflow import CustomComponent
-from langflow.services.database.models.base import orjson_dumps
-
-
-class PostRequest(CustomComponent):
-    display_name: str = "POST Request"
-    description: str = "Make a POST request to the given URL."
-    output_types: list[str] = ["Document"]
-    documentation: str = "https://docs.langflow.org/components/utilities#post-request"
-    beta: bool = True
-    field_config = {
-        "url": {"display_name": "URL", "info": "The URL to make the request to."},
-        "headers": {
-            "display_name": "Headers",
-            "info": "The headers to send with the request.",
-        },
-        "code": {"show": False},
-        "document": {"display_name": "Document"},
-    }
-
-    def post_document(
-        self,
-        session: requests.Session,
-        document: Document,
-        url: str,
-        headers: Optional[dict] = None,
-    ) -> Document:
-        try:
-            response = session.post(url, headers=headers, data=document.page_content)
-            try:
-                response_json = response.json()
-                result = orjson_dumps(response_json, indent_2=False)
-            except Exception:
-                result = response.text
-            self.repr_value = result
-            return Document(
-                page_content=result,
-                metadata={
-                    "source": url,
-                    "headers": headers,
-                    "status_code": response,
-                },
-            )
-        except Exception as exc:
-            return Document(
-                page_content=str(exc),
-                metadata={
-                    "source": url,
-                    "headers": headers,
-                    "status_code": 500,
-                },
-            )
-
-    def build(
-        self,
-        document: Document,
-        url: str,
-        headers: Optional[dict] = None,
-    ) -> list[Document]:
-        if headers is None:
-            headers = {}
-
-        if not isinstance(document, list) and isinstance(document, Document):
-            documents: list[Document] = [document]
-        elif isinstance(document, list) and all(isinstance(doc, Document) for doc in document):
-            documents = document
-        else:
-            raise ValueError("document must be a Document or a list of Documents")
-
-        with requests.Session() as session:
-            documents = [self.post_document(session, doc, url, headers) for doc in documents]
-            self.repr_value = documents
-        return documents
diff --git a/src/backend/langflow/components/utilities/UpdateRequest.py b/src/backend/langflow/components/utilities/UpdateRequest.py
deleted file mode 100644
index bd40f642d35..00000000000
--- a/src/backend/langflow/components/utilities/UpdateRequest.py
+++ /dev/null
@@ -1,88 +0,0 @@
-from typing import List, Optional
-
-import requests
-from langchain_core.documents import Document
-from langflow import CustomComponent
-from langflow.services.database.models.base import orjson_dumps
-
-
-class UpdateRequest(CustomComponent):
-    display_name: str = "Update Request"
-    description: str = "Make a PATCH request to the given URL."
-    output_types: list[str] = ["Document"]
-    documentation: str = "https://docs.langflow.org/components/utilities#update-request"
-    beta: bool = True
-    field_config = {
-        "url": {"display_name": "URL", "info": "The URL to make the request to."},
-        "headers": {
-            "display_name": "Headers",
-            "field_type": "NestedDict",
-            "info": "The headers to send with the request.",
-        },
-        "code": {"show": False},
-        "document": {"display_name": "Document"},
-        "method": {
-            "display_name": "Method",
-            "field_type": "str",
-            "info": "The HTTP method to use.",
-            "options": ["PATCH", "PUT"],
-            "value": "PATCH",
-        },
-    }
-
-    def update_document(
-        self,
-        session: requests.Session,
-        document: Document,
-        url: str,
-        headers: Optional[dict] = None,
-        method: str = "PATCH",
-    ) -> Document:
-        try:
-            if method == "PATCH":
-                response = session.patch(url, headers=headers, data=document.page_content)
-            elif method == "PUT":
-                response = session.put(url, headers=headers, data=document.page_content)
-            else:
-                raise ValueError(f"Unsupported method: {method}")
-            try:
-                response_json = response.json()
-                result = orjson_dumps(response_json, indent_2=False)
-            except Exception:
-                result = response.text
-            self.repr_value = result
-            return Document(
-                page_content=result,
-                metadata={
-                    "source": url,
-                    "headers": headers,
-                    "status_code": response.status_code,
-                },
-            )
-        except Exception as exc:
-            return Document(
-                page_content=str(exc),
-                metadata={"source": url, "headers": headers, "status_code": 500},
-            )
-
-    def build(
-        self,
-        method: str,
-        document: Document,
-        url: str,
-        headers: Optional[dict] = None,
-    ) -> List[Document]:
-        if headers is None:
-            headers = {}
-
-        if not isinstance(document, list) and isinstance(document, Document):
-            documents: list[Document] = [document]
-        elif isinstance(document, list) and all(isinstance(doc, Document) for doc in document):
-            documents = document
-        else:
-            raise ValueError("document must be a Document or a list of Documents")
-
-        with requests.Session() as session:
-            documents = [self.update_document(session, doc, url, headers, method) for doc in documents]
-            self.repr_value = documents
-        return documents
diff --git a/src/backend/langflow/components/vectorstores/Chroma.py b/src/backend/langflow/components/vectorstores/Chroma.py
deleted file mode 100644
index 6eb8fedd6e4..00000000000
--- a/src/backend/langflow/components/vectorstores/Chroma.py
+++ /dev/null
@@ -1,107 +0,0 @@
-from typing import List, Optional, Union
-
-import chromadb  # type: ignore
-from langchain.embeddings.base import Embeddings
-from langchain.schema import BaseRetriever, Document
-from langchain_community.vectorstores import VectorStore
-from langchain_community.vectorstores.chroma import Chroma
-from langflow import CustomComponent
-
-
-class ChromaComponent(CustomComponent):
-    """
-    A custom component for implementing a Vector Store using Chroma.
-    """
-
-    display_name: str = "Chroma"
-    description: str = "Implementation of Vector Store using Chroma"
-    documentation = "https://python.langchain.com/docs/integrations/vectorstores/chroma"
-    beta: bool = True
-
-    def build_config(self):
-        """
-        Builds the configuration for the component.
-
-        Returns:
-        - dict: A dictionary containing the configuration options for the component.
-        """
-        return {
-            "collection_name": {"display_name": "Collection Name", "value": "langflow"},
-            "persist": {"display_name": "Persist"},
-            "persist_directory": {"display_name": "Persist Directory"},
-            "code": {"advanced": True, "display_name": "Code"},
-            "documents": {"display_name": "Documents", "is_list": True},
-            "embedding": {"display_name": "Embedding"},
-            "chroma_server_cors_allow_origins": {
-                "display_name": "Server CORS Allow Origins",
-                "advanced": True,
-            },
-            "chroma_server_host": {"display_name": "Server Host", "advanced": True},
-            "chroma_server_port": {"display_name": "Server Port", "advanced": True},
-            "chroma_server_grpc_port": {
-                "display_name": "Server gRPC Port",
-                "advanced": True,
-            },
-            "chroma_server_ssl_enabled": {
-                "display_name": "Server SSL Enabled",
-                "advanced": True,
-            },
-        }
-
-    def build(
-        self,
-        collection_name: str,
-        persist: bool,
-        embedding: Embeddings,
-        chroma_server_ssl_enabled: bool,
-        persist_directory: Optional[str] = None,
-        documents: Optional[List[Document]] = None,
-        chroma_server_cors_allow_origins: Optional[str] = None,
-        chroma_server_host: Optional[str] = None,
-        chroma_server_port: Optional[int] = None,
-        chroma_server_grpc_port: Optional[int] = None,
-    ) -> Union[VectorStore, BaseRetriever]:
-        """
-        Builds the Vector Store or BaseRetriever object.
-
-        Args:
-        - collection_name (str): The name of the collection.
-        - persist_directory (Optional[str]): The directory to persist the Vector Store to.
-        - chroma_server_ssl_enabled (bool): Whether to enable SSL for the Chroma server.
-        - persist (bool): Whether to persist the Vector Store or not.
-        - embedding (Optional[Embeddings]): The embeddings to use for the Vector Store.
-        - documents (Optional[Document]): The documents to use for the Vector Store.
-        - chroma_server_cors_allow_origins (Optional[str]): The CORS allow origins for the Chroma server.
-        - chroma_server_host (Optional[str]): The host for the Chroma server.
-        - chroma_server_port (Optional[int]): The port for the Chroma server.
-        - chroma_server_grpc_port (Optional[int]): The gRPC port for the Chroma server.
-
-        Returns:
-        - Union[VectorStore, BaseRetriever]: The Vector Store or BaseRetriever object.
-        """
-
-        # Chroma settings
-        chroma_settings = None
-
-        if chroma_server_host is not None:
-            chroma_settings = chromadb.config.Settings(
-                chroma_server_cors_allow_origins=chroma_server_cors_allow_origins or None,
-                chroma_server_host=chroma_server_host,
-                chroma_server_port=chroma_server_port or None,
-                chroma_server_grpc_port=chroma_server_grpc_port or None,
-                chroma_server_ssl_enabled=chroma_server_ssl_enabled,
-            )
-
-        # If documents, then we need to create a Chroma instance using .from_documents
-        if documents is not None and embedding is not None:
-            if len(documents) == 0:
-                raise ValueError("If documents are provided, there must be at least one document.")
-            return Chroma.from_documents(
-                documents=documents,  # type: ignore
-                persist_directory=persist_directory if persist else None,
-                collection_name=collection_name,
-                embedding=embedding,
-                client_settings=chroma_settings,
-            )
-
-        return Chroma(persist_directory=persist_directory, client_settings=chroma_settings)
diff --git a/src/backend/langflow/components/vectorstores/FAISS.py b/src/backend/langflow/components/vectorstores/FAISS.py
deleted file mode 100644
index dec14f6db67..00000000000
--- a/src/backend/langflow/components/vectorstores/FAISS.py
+++ /dev/null
@@ -1,26 +0,0 @@
-from typing import List, Union
-
-from langchain.schema import BaseRetriever
-from langchain_community.vectorstores import VectorStore
-from langchain_community.vectorstores.faiss import FAISS
-from langflow import CustomComponent
-from langflow.field_typing import Document, Embeddings
-
-
-class FAISSComponent(CustomComponent):
-    display_name = "FAISS"
-    description = "Construct FAISS wrapper from raw documents."
-    documentation = "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/faiss"
-
-    def build_config(self):
-        return {
-            "documents": {"display_name": "Documents"},
-            "embedding": {"display_name": "Embedding"},
-        }
-
-    def build(
-        self,
-        embedding: Embeddings,
-        documents: List[Document],
-    ) -> Union[VectorStore, FAISS, BaseRetriever]:
-        return FAISS.from_documents(documents=documents, embedding=embedding)
diff --git a/src/backend/langflow/components/vectorstores/MongoDBAtlasVectorSearch.py b/src/backend/langflow/components/vectorstores/MongoDBAtlasVectorSearch.py
deleted file mode 100644
index 13b62b70842..00000000000
--- a/src/backend/langflow/components/vectorstores/MongoDBAtlasVectorSearch.py
+++ /dev/null
@@ -1,48 +0,0 @@
-from typing import List, Optional
-
-from langchain_community.vectorstores.mongodb_atlas import MongoDBAtlasVectorSearch
-
-from langflow import CustomComponent
-from langflow.field_typing import Document, Embeddings, NestedDict
-
-
-class MongoDBAtlasComponent(CustomComponent):
-    display_name = "MongoDB Atlas"
-    description = "a `MongoDB Atlas Vector Search` vector store from raw documents."
-
-    def build_config(self):
-        return {
-            "documents": {"display_name": "Documents", "is_list": True},
-            "embedding": {"display_name": "Embedding"},
-            "collection_name": {"display_name": "Collection Name"},
-            "db_name": {"display_name": "Database Name"},
-            "index_name": {"display_name": "Index Name"},
-            "mongodb_atlas_cluster_uri": {"display_name": "MongoDB Atlas Cluster URI"},
-            "search_kwargs": {"display_name": "Search Kwargs", "advanced": True},
-        }
-
-    def build(
-        self,
-        embedding: Embeddings,
-        documents: Optional[List[Document]] = None,
-        collection_name: str = "",
-        db_name: str = "",
-        index_name: str = "",
-        mongodb_atlas_cluster_uri: str = "",
-        search_kwargs: Optional[NestedDict] = None,
-    ) -> MongoDBAtlasVectorSearch:
-        search_kwargs = search_kwargs or {}
-        vector_store = MongoDBAtlasVectorSearch.from_connection_string(
-            connection_string=mongodb_atlas_cluster_uri,
-            namespace=f"{db_name}.{collection_name}",
-            embedding=embedding,
-            index_name=index_name,
-        )
-
-        if documents is not None:
-            if len(documents) == 0:
-                raise ValueError("If documents are provided, there must be at least one document.")
-
-            vector_store.add_documents(documents)
-
-        return vector_store
diff --git a/src/backend/langflow/components/vectorstores/Pinecone.py b/src/backend/langflow/components/vectorstores/Pinecone.py
deleted file mode 100644
index f886905f05c..00000000000
--- a/src/backend/langflow/components/vectorstores/Pinecone.py
+++ /dev/null
@@ -1,145 +0,0 @@
-from typing import List, Optional, Union
-
-from langchain.schema import BaseRetriever
-from langchain_community.vectorstores import VectorStore
-from langchain_core.documents import Document
-from langchain_pinecone._utilities import DistanceStrategy
-from langchain_pinecone.vectorstores import PineconeVectorStore
-
-from langflow.field_typing import Embeddings
-from langflow.interface.custom.custom_component import CustomComponent
-
-
-class PineconeComponent(CustomComponent):
-    display_name = "Pinecone"
-    description = "Construct Pinecone wrapper from raw documents."
-    icon = "Pinecone"
-    field_order = ["index_name", "namespace", "distance_strategy", "pinecone_api_key", "documents", "embedding"]
-
-    def build_config(self):
-        distance_options = [e.value.title().replace("_", " ") for e in DistanceStrategy]
-        distance_value = distance_options[0]
-        return {
-            "inputs": {"display_name": "Input", "input_types": ["Document", "Record"]},
-            "embedding": {"display_name": "Embedding"},
-            "index_name": {"display_name": "Index Name"},
-            "namespace": {"display_name": "Namespace"},
-            "text_key": {"display_name": "Text Key"},
-            "distance_strategy": {
-                "display_name": "Distance Strategy",
-                # get values from enum
-                # and make them title case for display
-                "options": distance_options,
-                "advanced": True,
-                "value": distance_value,
-            },
-            "pinecone_api_key": {
-                "display_name": "Pinecone API Key",
-                "default": "",
-                "password": True,
-                "required": True,
-            },
-            "pool_threads": {
-                "display_name": "Pool Threads",
-                "default": 1,
-                "advanced": True,
-            },
-        }
-
-    def from_existing_index(
-        self,
-        index_name: str,
-        embedding: Embeddings,
-        pinecone_api_key: str | None,
-        text_key: str = "text",
-        namespace: Optional[str] = None,
-        distance_strategy: DistanceStrategy = DistanceStrategy.COSINE,
-        pool_threads: int = 4,
-    ) -> PineconeVectorStore:
-        """Load pinecone vectorstore from index name."""
-        pinecone_index = PineconeVectorStore.get_pinecone_index(
-            index_name, pool_threads, pinecone_api_key=pinecone_api_key
-        )
-        return PineconeVectorStore(
-            index=pinecone_index,
-            embedding=embedding,
-            text_key=text_key,
-            namespace=namespace,
-            distance_strategy=distance_strategy,
-        )
-
-    def from_documents(
-        self,
-        documents: List[Document],
-        embedding: Embeddings,
-        index_name: str,
-        pinecone_api_key: str | None,
-        text_key: str = "text",
-        namespace: Optional[str] = None,
-        pool_threads: int = 4,
-        distance_strategy: DistanceStrategy = DistanceStrategy.COSINE,
-        batch_size: int = 32,
-        upsert_kwargs: Optional[dict] = None,
-        embeddings_chunk_size: int = 1000,
-    ) -> PineconeVectorStore:
-        """Create a new pinecone vectorstore from documents."""
-        texts = [d.page_content for d in documents]
-        metadatas = [d.metadata for d in documents]
-        pinecone = self.from_existing_index(
-            index_name=index_name,
-            embedding=embedding,
-            pinecone_api_key=pinecone_api_key,
-            text_key=text_key,
-            namespace=namespace,
-            distance_strategy=distance_strategy,
-            pool_threads=pool_threads,
-        )
-        pinecone.add_texts(
-            texts,
-            metadatas=metadatas,
-            ids=None,
-            namespace=namespace,
-            batch_size=batch_size,
-            embedding_chunk_size=embeddings_chunk_size,
-            **(upsert_kwargs or {}),
-        )
-        return pinecone
-
-    def build(
-        self,
-        embedding: Embeddings,
-        distance_strategy: str,
-        documents: Optional[List[Document]] = None,
-        text_key: str = "text",
-        pool_threads: int = 4,
-        index_name: Optional[str] = None,
-        pinecone_api_key: Optional[str] = None,
-        namespace: Optional[str] = "default",
-    ) -> Union[VectorStore, BaseRetriever]:
-        # get distance strategy from string
-        distance_strategy = distance_strategy.replace(" ", "_").upper()
-        _distance_strategy = DistanceStrategy[distance_strategy]
-        if not index_name:
-            raise ValueError("Index Name is required.")
-
-        if documents:
-            return self.from_documents(
-                documents=documents,
-                embedding=embedding,
-                index_name=index_name,
-                pinecone_api_key=pinecone_api_key,
-                text_key=text_key,
-                namespace=namespace,
-                distance_strategy=_distance_strategy,
-                pool_threads=pool_threads,
-            )
-
-        return self.from_existing_index(
-            index_name=index_name,
-            embedding=embedding,
-            pinecone_api_key=pinecone_api_key,
-            text_key=text_key,
-            namespace=namespace,
-            distance_strategy=_distance_strategy,
-            pool_threads=pool_threads,
-        )
diff --git a/src/backend/langflow/components/vectorstores/Qdrant.py b/src/backend/langflow/components/vectorstores/Qdrant.py
deleted file mode 100644
index 6d68cdd5588..00000000000
--- a/src/backend/langflow/components/vectorstores/Qdrant.py
+++ /dev/null
@@ -1,103 +0,0 @@
-from typing import Optional, Union
-
-from langchain.schema import BaseRetriever
-from langchain_community.vectorstores import VectorStore
-from langchain_community.vectorstores.qdrant import Qdrant
-from langflow import CustomComponent
-from langflow.field_typing import Document, Embeddings, NestedDict
-
-
-class QdrantComponent(CustomComponent):
-    display_name = "Qdrant"
-    description = "Construct Qdrant wrapper from a list of texts."
-
-    def build_config(self):
-        return {
-            "documents": {"display_name": "Documents"},
-            "embedding": {"display_name": "Embedding"},
-            "api_key": {"display_name": "API Key", "password": True, "advanced": True},
-            "collection_name": {"display_name": "Collection Name"},
-            "content_payload_key": {"display_name": "Content Payload Key", "advanced": True},
-            "distance_func": {"display_name": "Distance Function", "advanced": True},
-            "grpc_port": {"display_name": "gRPC Port", "advanced": True},
-            "host": {"display_name": "Host", "advanced": True},
-            "https": {"display_name": "HTTPS", "advanced": True},
-            "location": {"display_name": "Location", "advanced": True},
-            "metadata_payload_key": {"display_name": "Metadata Payload Key", "advanced": True},
-            "path": {"display_name": "Path", "advanced": True},
-            "port": {"display_name": "Port", "advanced": True},
-            "prefer_grpc": {"display_name": "Prefer gRPC", "advanced": True},
-            "prefix": {"display_name": "Prefix", "advanced": True},
-            "search_kwargs": {"display_name": "Search Kwargs", "advanced": True},
-            "timeout": {"display_name": "Timeout", "advanced": True},
-            "url": {"display_name": "URL", "advanced": True},
-        }
-
-    def build(
-        self,
-        embedding: Embeddings,
-        collection_name: str,
-        documents: Optional[Document] = None,
-        api_key: Optional[str] = None,
-        content_payload_key: str = "page_content",
-        distance_func: str = "Cosine",
-        grpc_port: int = 6334,
-        https: bool = False,
-        host: Optional[str] = None,
-        location: Optional[str] = None,
-        metadata_payload_key: str = "metadata",
-        path: Optional[str] = None,
-        port: Optional[int] = 6333,
-        prefer_grpc: bool = False,
-        prefix: Optional[str] = None,
-        search_kwargs: Optional[NestedDict] = None,
-        timeout: Optional[int] = None,
-        url: Optional[str] = None,
-    ) -> Union[VectorStore, Qdrant, BaseRetriever]:
-        if documents is None:
-            from qdrant_client import QdrantClient
-
-            client = QdrantClient(
-                location=location,
-                url=host,
-                port=port,
-                grpc_port=grpc_port,
-                https=https,
-                prefix=prefix,
-                timeout=timeout,
-                prefer_grpc=prefer_grpc,
-                metadata_payload_key=metadata_payload_key,
-                content_payload_key=content_payload_key,
-                api_key=api_key,
-                collection_name=collection_name,
-                host=host,
-                path=path,
-            )
-            vs = Qdrant(
-                client=client,
-                collection_name=collection_name,
-                embeddings=embedding,
-            )
-            return vs
-        else:
-            vs = Qdrant.from_documents(
-                documents=documents,  # type: ignore
-                embedding=embedding,
-                api_key=api_key,
-                collection_name=collection_name,
-                content_payload_key=content_payload_key,
-                distance_func=distance_func,
-                grpc_port=grpc_port,
-                host=host,
-                https=https,
-                location=location,
-                metadata_payload_key=metadata_payload_key,
-                path=path,
-                port=port,
-                prefer_grpc=prefer_grpc,
-                prefix=prefix,
-                search_kwargs=search_kwargs,
-                timeout=timeout,
-                url=url,
-            )
-        return vs
diff --git a/src/backend/langflow/components/vectorstores/Redis.py b/src/backend/langflow/components/vectorstores/Redis.py
deleted file mode 100644
index b2d7e454216..00000000000
--- a/src/backend/langflow/components/vectorstores/Redis.py
+++ /dev/null
@@ -1,78 +0,0 @@
-from typing import Optional, Union
-
-from langchain.embeddings.base import Embeddings
-from langchain_community.vectorstores import VectorStore
-from langchain_community.vectorstores.redis import Redis
-from langchain_core.documents import Document
-from langchain_core.retrievers import BaseRetriever
-from langflow import CustomComponent
-
-
-class RedisComponent(CustomComponent):
-    """
-    A custom component for implementing a Vector Store using Redis.
-    """
-
-    display_name: str = "Redis"
-    description: str = "Implementation of Vector Store using Redis"
-    documentation = "https://python.langchain.com/docs/integrations/vectorstores/redis"
-    beta = True
-
-    def build_config(self):
-        """
-        Builds the configuration for the component.
-
-        Returns:
-        - dict: A dictionary containing the configuration options for the component.
-        """
-        return {
-            "index_name": {"display_name": "Index Name", "value": "your_index"},
-            "code": {"show": False, "display_name": "Code"},
-            "documents": {"display_name": "Documents", "is_list": True},
-            "embedding": {"display_name": "Embedding"},
-            "schema": {"display_name": "Schema", "file_types": [".yaml"]},
-            "redis_server_url": {
-                "display_name": "Redis Server Connection String",
-                "advanced": False,
-            },
-            "redis_index_name": {"display_name": "Redis Index", "advanced": False},
-        }
-
-    def build(
-        self,
-        embedding: Embeddings,
-        redis_server_url: str,
-        redis_index_name: str,
-        schema: Optional[str] = None,
-        documents: Optional[Document] = None,
-    ) -> Union[VectorStore, BaseRetriever]:
-        """
-        Builds the Vector Store or BaseRetriever object.
-
-        Args:
-        - embedding (Embeddings): The embeddings to use for the Vector Store.
-        - documents (Optional[Document]): The documents to use for the Vector Store.
-        - redis_index_name (str): The name of the Redis index.
-        - redis_server_url (str): The URL for the Redis server.
-
-        Returns:
-        - VectorStore: The Vector Store object.
-        """
-        if documents is None:
-            if schema is None:
-                raise ValueError("If no documents are provided, a schema must be provided.")
-            redis_vs = Redis.from_existing_index(
-                embedding=embedding,
-                index_name=redis_index_name,
-                schema=schema,
-                key_prefix=None,
-                redis_url=redis_server_url,
-            )
-        else:
-            redis_vs = Redis.from_documents(
-                documents=documents,  # type: ignore
-                embedding=embedding,
-                redis_url=redis_server_url,
-                index_name=redis_index_name,
-            )
-        return redis_vs
diff --git a/src/backend/langflow/components/vectorstores/SupabaseVectorStore.py b/src/backend/langflow/components/vectorstores/SupabaseVectorStore.py
deleted file mode 100644
index 2ec6dfabc90..00000000000
--- a/src/backend/langflow/components/vectorstores/SupabaseVectorStore.py
+++ /dev/null
@@ -1,44 +0,0 @@
-from typing import List, Union
-
-from langchain.schema import BaseRetriever
-from langchain_community.vectorstores import VectorStore
-from langchain_community.vectorstores.supabase import SupabaseVectorStore
-from langflow import CustomComponent
-from langflow.field_typing import Document, Embeddings, NestedDict
-from supabase.client import Client, create_client
-
-
-class SupabaseComponent(CustomComponent):
-    display_name = "Supabase"
-    description = "Return VectorStore initialized from texts and embeddings."
-
-    def build_config(self):
-        return {
-            "documents": {"display_name": "Documents"},
-            "embedding": {"display_name": "Embedding"},
-            "query_name": {"display_name": "Query Name"},
-            "search_kwargs": {"display_name": "Search Kwargs", "advanced": True},
-            "supabase_service_key": {"display_name": "Supabase Service Key"},
-            "supabase_url": {"display_name": "Supabase URL"},
-            "table_name": {"display_name": "Table Name", "advanced": True},
-        }
-
-    def build(
-        self,
-        embedding: Embeddings,
-        documents: List[Document],
-        query_name: str = "",
-        search_kwargs: NestedDict = {},
-        supabase_service_key: str = "",
-        supabase_url: str = "",
-        table_name: str = "",
-    ) -> Union[VectorStore, SupabaseVectorStore, BaseRetriever]:
-        supabase: Client = create_client(supabase_url, supabase_key=supabase_service_key)
-        return SupabaseVectorStore.from_documents(
-            documents=documents,
-            embedding=embedding,
-            query_name=query_name,
-            search_kwargs=search_kwargs,
-            client=supabase,
-            table_name=table_name,
-        )
diff --git a/src/backend/langflow/components/vectorstores/Vectara.py b/src/backend/langflow/components/vectorstores/Vectara.py
deleted file mode 100644
index 31615fe7fa6..00000000000
--- a/src/backend/langflow/components/vectorstores/Vectara.py
+++ /dev/null
@@ -1,77 +0,0 @@
-import tempfile
-import urllib
-import urllib.request
-from typing import List, Optional, Union
-
-from langchain_community.embeddings import FakeEmbeddings
-from langchain_community.vectorstores.vectara import Vectara
-from langchain_core.vectorstores import VectorStore
-from langflow import CustomComponent
-from langflow.field_typing import BaseRetriever, Document
-
-
-class VectaraComponent(CustomComponent):
-    display_name: str = "Vectara"
-    description: str = "Implementation of Vector Store using Vectara"
-    documentation = "https://python.langchain.com/docs/integrations/vectorstores/vectara"
-    beta = True
-    field_config = {
-        "vectara_customer_id": {
-            "display_name": "Vectara Customer ID",
-        },
-        "vectara_corpus_id": {
-            "display_name": "Vectara Corpus ID",
-        },
-        "vectara_api_key": {
-            "display_name": "Vectara API Key",
-            "password": True,
-        },
-        "documents": {"display_name": "Documents", "info": "If provided, will be upserted to corpus (optional)"},
-        "files_url": {
-            "display_name": "Files Url",
-            "info": "Make vectara object using url of files (optional)",
-        },
-    }
-
-    def build(
-        self,
-        vectara_customer_id: str,
-        vectara_corpus_id: str,
-        vectara_api_key: str,
-        files_url: Optional[List[str]] = None,
-        documents: Optional[Document] = None,
-    ) -> Union[VectorStore, BaseRetriever]:
-        source = "Langflow"
-
-        if documents is not None:
-            return Vectara.from_documents(
-                documents=documents,  # type: ignore
-                embedding=FakeEmbeddings(size=768),
-                vectara_customer_id=vectara_customer_id,
-                vectara_corpus_id=vectara_corpus_id,
-                vectara_api_key=vectara_api_key,
-                source=source,
-            )
-
-        if files_url is not None:
-            files_list = []
-            for url in files_url:
-                name = tempfile.NamedTemporaryFile().name
-                urllib.request.urlretrieve(url, name)
-                files_list.append(name)
-
-            return Vectara.from_files(
-                files=files_list,
-                embedding=FakeEmbeddings(size=768),
-                vectara_customer_id=vectara_customer_id,
-                vectara_corpus_id=vectara_corpus_id,
-                vectara_api_key=vectara_api_key,
-                source=source,
-            )
-
-        return Vectara(
-            vectara_customer_id=vectara_customer_id,
-            vectara_corpus_id=vectara_corpus_id,
-            vectara_api_key=vectara_api_key,
-            source=source,
-        )
diff --git a/src/backend/langflow/components/vectorstores/Weaviate.py b/src/backend/langflow/components/vectorstores/Weaviate.py
deleted file mode 100644
index 9b4967c3633..00000000000
--- a/src/backend/langflow/components/vectorstores/Weaviate.py
+++ /dev/null
@@ -1,89 +0,0 @@
-from typing import Optional, Union
-
-import weaviate  # type: ignore
-from langchain.embeddings.base import Embeddings
-from langchain.schema import BaseRetriever, Document
-from langchain_community.vectorstores import VectorStore, Weaviate
-
-from langflow import CustomComponent
-
-
-class WeaviateVectorStore(CustomComponent):
-    display_name: str = "Weaviate"
-    description: str = "Implementation of Vector Store using Weaviate"
-    documentation = "https://python.langchain.com/docs/integrations/vectorstores/weaviate"
-    beta = True
-    field_config = {
-        "url": {"display_name": "Weaviate URL", "value": "http://localhost:8080"},
-        "api_key": {
-            "display_name": "API Key",
-            "password": True,
-            "required": False,
-        },
-        "index_name": {
-            "display_name": "Index name",
-            "required": False,
-        },
-        "text_key": {"display_name": "Text Key", "required": False, "advanced": True, "value": "text"},
-        "documents": {"display_name": "Documents", "is_list": True},
-        "embedding": {"display_name": "Embedding"},
-        "attributes": {
-            "display_name": "Attributes",
-            "required": False,
-            "is_list": True,
-            "field_type": "str",
-            "advanced": True,
-        },
-        "search_by_text": {"display_name": "Search By Text", "field_type": "bool", "advanced": True},
-        "code": {"show": False},
-    }
-
-    def build(
-        self,
-        url: str,
-        search_by_text: bool = False,
-        api_key: Optional[str] = None,
-        index_name: Optional[str] = None,
-        text_key: str = "text",
-        embedding: Optional[Embeddings] = None,
-        documents: Optional[Document] = None,
-        attributes: Optional[list] = None,
-    ) -> Union[VectorStore, BaseRetriever]:
-        if api_key:
-            auth_config = weaviate.AuthApiKey(api_key=api_key)
-            client = weaviate.Client(url=url, auth_client_secret=auth_config)
-        else:
-            client = weaviate.Client(url=url)
-
-        def _to_pascal_case(word: str):
-            if word and not word[0].isupper():
-                word = word.capitalize()
-
-            if word.isidentifier():
-                return word
-
-            word = word.replace("-", " ").replace("_", " ")
-            parts = word.split()
-            pascal_case_word = "".join([part.capitalize() for part in parts])
-
-            return pascal_case_word
-
-        index_name = _to_pascal_case(index_name) if index_name else None
-
-        if documents is not None and embedding is not None:
-            return Weaviate.from_documents(
-                client=client,
-                index_name=index_name,
-                documents=documents,
-                embedding=embedding,
-                by_text=search_by_text,
-            )
-
-        return Weaviate(
-            client=client,
-            index_name=index_name,
-            text_key=text_key,
-            embedding=embedding,
-            by_text=search_by_text,
-            attributes=attributes if attributes is not None else [],
-        )
diff --git a/src/backend/langflow/components/vectorstores/pgvector.py b/src/backend/langflow/components/vectorstores/pgvector.py
deleted file mode 100644
index 2baf6dae65f..00000000000
--- a/src/backend/langflow/components/vectorstores/pgvector.py
+++ /dev/null
@@ -1,74 +0,0 @@
-from typing import Optional, Union
-
-from langchain.embeddings.base import Embeddings
-from langchain_community.vectorstores import VectorStore
-from langchain_community.vectorstores.pgvector import PGVector
-from langchain_core.documents import Document
-from langchain_core.retrievers import BaseRetriever
-from langflow import CustomComponent
-
-
-class PGVectorComponent(CustomComponent):
-    """
-    A custom component for implementing a Vector Store using PostgreSQL.
-    """
-
-    display_name: str = "PGVector"
-    description: str = "Implementation of Vector Store using PostgreSQL"
-    documentation = "https://python.langchain.com/docs/integrations/vectorstores/pgvector"
-
-    def build_config(self):
-        """
-        Builds the configuration for the component.
-
-        Returns:
-        - dict: A dictionary containing the configuration options for the component.
-        """
-        return {
-            "code": {"show": False},
-            "documents": {"display_name": "Documents", "is_list": True},
-            "embedding": {"display_name": "Embedding"},
-            "pg_server_url": {
-                "display_name": "PostgreSQL Server Connection String",
-                "advanced": False,
-            },
-            "collection_name": {"display_name": "Table", "advanced": False},
-        }
-
-    def build(
-        self,
-        embedding: Embeddings,
-        pg_server_url: str,
-        collection_name: str,
-        documents: Optional[Document] = None,
-    ) -> Union[VectorStore, BaseRetriever]:
-        """
-        Builds the Vector Store or BaseRetriever object.
-
-        Args:
-        - embedding (Embeddings): The embeddings to use for the Vector Store.
-        - documents (Optional[Document]): The documents to use for the Vector Store.
-        - collection_name (str): The name of the PG table.
-        - pg_server_url (str): The URL for the PG server.
-
-        Returns:
-        - VectorStore: The Vector Store object.
-        """
-
-        try:
-            if documents is None:
-                vector_store = PGVector.from_existing_index(
-                    embedding=embedding,
-                    collection_name=collection_name,
-                    connection_string=pg_server_url,
-                )
-            else:
-                vector_store = PGVector.from_documents(
-                    embedding=embedding,
-                    documents=documents,  # type: ignore
-                    collection_name=collection_name,
-                    connection_string=pg_server_url,
-                )
-        except Exception as e:
-            raise RuntimeError(f"Failed to build PGVector: {e}")
-        return vector_store
diff --git a/src/backend/langflow/config.yaml b/src/backend/langflow/config.yaml
deleted file mode 100644
index 5ec4f3aaaec..00000000000
--- a/src/backend/langflow/config.yaml
+++ /dev/null
@@ -1,302 +0,0 @@
-agents:
-  ZeroShotAgent:
-    documentation: "https://python.langchain.com/docs/modules/agents/how_to/custom_mrkl_agent"
-  JsonAgent:
-    documentation: "https://python.langchain.com/docs/modules/agents/toolkits/openapi"
-  CSVAgent:
-    documentation: "https://python.langchain.com/docs/modules/agents/toolkits/csv"
-  VectorStoreAgent:
-    documentation: ""
-  VectorStoreRouterAgent:
-    documentation: ""
-  SQLAgent:
-    documentation: ""
-chains:
-  # LLMChain:
-  #   documentation: "https://python.langchain.com/docs/modules/chains/foundational/llm_chain"
-  LLMMathChain:
-    documentation: "https://python.langchain.com/docs/modules/chains/additional/llm_math"
-  LLMCheckerChain:
-    documentation: "https://python.langchain.com/docs/modules/chains/additional/llm_checker"
-  # ConversationChain:
-  #   documentation: ""
-  SeriesCharacterChain:
-    documentation: ""
-  MidJourneyPromptChain:
-    documentation: ""
-  TimeTravelGuideChain:
-    documentation: ""
-  SQLDatabaseChain:
-    documentation: ""
-  RetrievalQA:
-    documentation: "https://python.langchain.com/docs/modules/chains/popular/vector_db_qa"
-  RetrievalQAWithSourcesChain:
-    documentation: ""
-  ConversationalRetrievalChain:
-    documentation: "https://python.langchain.com/docs/modules/chains/popular/chat_vector_db"
-  CombineDocsChain:
-    documentation: ""
-documentloaders:
-  AirbyteJSONLoader:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json"
-  CoNLLULoader:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/conll-u"
-  CSVLoader:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv"
-  UnstructuredEmailLoader:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/email"
-  EverNoteLoader:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/evernote"
-  FacebookChatLoader:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/facebook_chat"
-  GutenbergLoader:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/gutenberg"
-  BSHTMLLoader:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/html"
-  UnstructuredHTMLLoader:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/html"
-  UnstructuredMarkdownLoader:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/markdown"
-  PyPDFDirectoryLoader:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/pdf"
-  PyPDFLoader:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/pdf"
-  UnstructuredPowerPointLoader:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/microsoft_powerpoint"
-  SRTLoader:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/subtitle"
-  TelegramChatLoader:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/telegram"
-  TextLoader:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/"
-  UnstructuredWordDocumentLoader:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/microsoft_word"
-  WebBaseLoader:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/web_base"
-  AZLyricsLoader:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/azlyrics"
-  CollegeConfidentialLoader:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/college_confidential"
-  HNLoader:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/hacker_news"
-  IFixitLoader:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/ifixit"
-  IMSDbLoader:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/imsdb"
-  GitbookLoader:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/gitbook"
-  ReadTheDocsLoader:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/readthedocs_documentation"
-  SlackDirectoryLoader:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/slack"
-  NotionDirectoryLoader:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/notion"
-  DirectoryLoader:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/file_directory"
-  GitLoader:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/git"
-embeddings:
-  OpenAIEmbeddings:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai"
-  HuggingFaceEmbeddings:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/sentence_transformers"
-  CohereEmbeddings:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/cohere"
-  VertexAIEmbeddings:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/google_vertex_ai_palm"
-  AmazonBedrockEmbeddings:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock"
-  OllamaEmbeddings:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/ollama"
-
-llms:
-  OpenAI:
-    documentation: "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai"
-  ChatOpenAI:
-    documentation: "https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai"
-  LlamaCpp:
-    documentation: "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/llamacpp"
-  CTransformers:
-    documentation: "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/ctransformers"
-  Cohere:
-    documentation: "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/cohere"
-  Anthropic:
-    documentation: ""
-  ChatAnthropic:
-    documentation: "https://python.langchain.com/docs/modules/model_io/models/chat/integrations/anthropic"
-  HuggingFaceHub:
-    documentation: "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/huggingface_hub"
-  VertexAI:
-    documentation: "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/google_vertex_ai_palm"
-  ###
-  # There's a bug in this component deactivating until we get it sorted: _language_models.py", line 804, in send_message
-  #     is_blocked=safety_attributes.get("blocked", False),
-  # AttributeError: 'list' object has no attribute 'get'
-  ChatVertexAI:
-    documentation: "https://python.langchain.com/docs/modules/model_io/models/chat/integrations/google_vertex_ai_palm"
-  ###
-memories:
-  # https://github.com/supabase-community/supabase-py/issues/482
-  # ZepChatMessageHistory:
-  #   documentation: "https://python.langchain.com/docs/modules/memory/integrations/zep_memory"
-  ConversationEntityMemory:
-    documentation: "https://python.langchain.com/docs/modules/memory/integrations/entity_memory_with_sqlite"
-  # https://github.com/hwchase17/langchain/issues/6091
-  # SQLiteEntityStore:
-  #   documentation: "https://python.langchain.com/docs/modules/memory/integrations/entity_memory_with_sqlite"
-  PostgresChatMessageHistory:
-    documentation: "https://python.langchain.com/docs/modules/memory/integrations/postgres_chat_message_history"
-  ConversationBufferMemory:
-    documentation: "https://python.langchain.com/docs/modules/memory/how_to/buffer"
-  ConversationSummaryMemory:
-    documentation: "https://python.langchain.com/docs/modules/memory/how_to/summary"
-  ConversationKGMemory:
-    documentation: "https://python.langchain.com/docs/modules/memory/how_to/kg"
-  ConversationBufferWindowMemory:
-    documentation: "https://python.langchain.com/docs/modules/memory/how_to/buffer_window"
-  VectorStoreRetrieverMemory:
-    documentation: "https://python.langchain.com/docs/modules/memory/how_to/vectorstore_retriever_memory"
-  MongoDBChatMessageHistory:
-    documentation: "https://python.langchain.com/docs/modules/memory/integrations/mongodb_chat_message_history"
-  MotorheadMemory:
-    documentation: "https://python.langchain.com/docs/integrations/memory/motorhead_memory"
-prompts:
-  ChatMessagePromptTemplate:
-    documentation: "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/msg_prompt_templates"
-  HumanMessagePromptTemplate:
-    documentation: "https://python.langchain.com/docs/modules/model_io/models/chat/how_to/prompts"
-  SystemMessagePromptTemplate:
-    documentation: "https://python.langchain.com/docs/modules/model_io/models/chat/how_to/prompts"
-  ChatPromptTemplate:
-    documentation: "https://python.langchain.com/docs/modules/model_io/models/chat/how_to/prompts"
-  PromptTemplate:
-    documentation: "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/"
-textsplitters:
-  CharacterTextSplitter:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/character_text_splitter"
-  RecursiveCharacterTextSplitter:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/document_transformers/recursive_text_splitter"
-toolkits:
-  OpenAPIToolkit:
-    documentation: ""
-  JsonToolkit:
-    documentation: ""
-  VectorStoreInfo:
-    documentation: ""
-  VectorStoreRouterToolkit:
-    documentation: ""
-  VectorStoreToolkit:
-    documentation: ""
-tools:
-  Search:
-    documentation: ""
-  PAL-MATH:
-    documentation: ""
-  Calculator:
-    documentation: ""
-  Serper Search:
-    documentation: ""
-  Tool:
-    documentation: ""
-  PythonFunctionTool:
-    documentation: ""
-  PythonFunction:
-    documentation: ""
-  JsonSpec:
-    documentation: ""
-  News API:
-    documentation: ""
-  TMDB API:
-    documentation: ""
-  Podcast API:
-    documentation: ""
-  QuerySQLDataBaseTool:
-    documentation: ""
-  InfoSQLDatabaseTool:
-    documentation: ""
-  ListSQLDatabaseTool:
-    documentation: ""
-  BingSearchRun:
-    documentation: ""
-  GoogleSearchRun:
-    documentation: ""
-  GoogleSearchResults:
-    documentation: ""
-  GoogleSerperRun:
-    documentation: ""
-  JsonListKeysTool:
-    documentation: ""
-  JsonGetValueTool:
-    documentation: ""
-  PythonREPLTool:
-    documentation: ""
-  PythonAstREPLTool:
-    documentation: ""
-  RequestsGetTool:
-    documentation: ""
-  RequestsPostTool:
-    documentation: ""
-  RequestsPatchTool:
-    documentation: ""
-  RequestsPutTool:
-    documentation: ""
-  RequestsDeleteTool:
-    documentation: ""
-  WikipediaQueryRun:
-    documentation: ""
-  WolframAlphaQueryRun:
-    documentation: ""
-utilities:
-  BingSearchAPIWrapper:
-    documentation: ""
-  GoogleSearchAPIWrapper:
-    documentation: ""
-  GoogleSerperAPIWrapper:
-    documentation: ""
-  SearxResults:
-    documentation: ""
-  SearxSearchWrapper:
-    documentation: ""
-  SerpAPIWrapper:
-    documentation: ""
-  WikipediaAPIWrapper:
-    documentation: ""
-  WolframAlphaAPIWrapper:
-    documentation: ""
-retrievers:
-  MultiQueryRetriever:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/retrievers/how_to/MultiQueryRetriever"
-  # https://github.com/supabase-community/supabase-py/issues/482
-  # ZepRetriever:
-  #   documentation: "https://python.langchain.com/docs/modules/data_connection/retrievers/integrations/zep_memorystore"
-vectorstores:
-  # Chroma:
-  #   documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/chroma"
-  Qdrant:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/qdrant"
-  FAISS:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/faiss"
-  Pinecone:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/pinecone"
-  ElasticsearchStore:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/elasticsearch"
-  SupabaseVectorStore:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/supabase"
-  MongoDBAtlasVectorSearch:
-    documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/mongodb_atlas"
-  # Requires docarray >=0.32.0 but langchain-serve requires jina 3.15.2 which doesn't support docarray >=0.32.0
-  # DocArrayInMemorySearch:
-  #   documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/docarray_in_memory"
-wrappers:
-  RequestsWrapper:
-    documentation: ""
-  SQLDatabase:
-    documentation: ""
-output_parsers:
-  StructuredOutputParser:
-    documentation: "https://python.langchain.com/docs/modules/model_io/output_parsers/structured"
-  ResponseSchema:
-    documentation: "https://python.langchain.com/docs/modules/model_io/output_parsers/structured"
-custom_components:
-  CustomComponent:
-    documentation: "https://docs.langflow.org/guidelines/custom-component"
diff --git a/src/backend/langflow/custom/customs.py b/src/backend/langflow/custom/customs.py
deleted file mode 100644
index fb22c56b34d..00000000000
--- a/src/backend/langflow/custom/customs.py
+++ /dev/null
@@ -1,41 +0,0 @@
-from langflow.template import frontend_node
-
-# These should always be instantiated
-CUSTOM_NODES = {
-    # "prompts": {
-    #     "ZeroShotPrompt": frontend_node.prompts.ZeroShotPromptNode(),
-    # },
-    "tools": {
-        "PythonFunctionTool": frontend_node.tools.PythonFunctionToolNode(),
-        "PythonFunction": frontend_node.tools.PythonFunctionNode(),
-        "Tool": frontend_node.tools.ToolNode(),
-    },
-    "agents": {
-        "JsonAgent": frontend_node.agents.JsonAgentNode(),
-        "CSVAgent": frontend_node.agents.CSVAgentNode(),
-        "VectorStoreAgent": frontend_node.agents.VectorStoreAgentNode(),
-        "VectorStoreRouterAgent": frontend_node.agents.VectorStoreRouterAgentNode(),
-        "SQLAgent": frontend_node.agents.SQLAgentNode(),
-    },
-    "utilities": {
-        "SQLDatabase": frontend_node.agents.SQLDatabaseNode(),
-    },
-    "memories": {
-        "PostgresChatMessageHistory": frontend_node.memories.PostgresChatMessageHistoryFrontendNode(),
-        "MongoDBChatMessageHistory": frontend_node.memories.MongoDBChatMessageHistoryFrontendNode(),
-    },
-    "chains": {
-        "SeriesCharacterChain": frontend_node.chains.SeriesCharacterChainNode(),
-        "TimeTravelGuideChain": frontend_node.chains.TimeTravelGuideChainNode(),
-        "MidJourneyPromptChain": frontend_node.chains.MidJourneyPromptChainNode(),
-        "load_qa_chain": frontend_node.chains.CombineDocsChainNode(),
-    },
-    "custom_components": {
-        "CustomComponent": frontend_node.custom_components.CustomComponentFrontendNode(),
-    },
-}
-
-
-def get_custom_nodes(node_type: str):
-    """Get custom nodes."""
-    return CUSTOM_NODES.get(node_type, {})
diff --git a/src/backend/langflow/field_typing/__init__.py b/src/backend/langflow/field_typing/__init__.py
deleted file mode 100644
index 46ea2011142..00000000000
--- a/src/backend/langflow/field_typing/__init__.py
+++ /dev/null
@@ -1,74 +0,0 @@
-from typing import Any
-
-from .constants import (
-    AgentExecutor,
-    BaseChatMemory,
-    BaseLanguageModel,
-    BaseLLM,
-    BaseLoader,
-    BaseMemory,
-    BaseOutputParser,
-    BasePromptTemplate,
-    BaseRetriever,
-    Callable,
-    Chain,
-    ChatPromptTemplate,
-    Data,
-    Document,
-    Embeddings,
-    NestedDict,
-    Object,
-    Prompt,
-    PromptTemplate,
-    TextSplitter,
-    Tool,
-    VectorStore,
-)
-from .range_spec import RangeSpec
-
-
-def _import_template_field():
-    from langflow.template.field.base import TemplateField
-
-    return TemplateField
-
-
-def __getattr__(name: str) -> Any:
-    # This is to avoid circular imports
-    if name == "TemplateField":
-        return _import_template_field()
-    elif name == "RangeSpec":
-        return RangeSpec
-    # The other names should work as if they were imported from constants
-    # Import the constants module langflow.field_typing.constants
-    from . import constants
-
-    return getattr(constants, name)
-
-
-__all__ = [
-    "NestedDict",
-    "Data",
-    "Tool",
-    "PromptTemplate",
-    "Chain",
-    "BaseChatMemory",
-    "BaseLLM",
-    "BaseLanguageModel",
-    "BaseLoader",
-    "BaseMemory",
-    "BaseOutputParser",
-    "BaseRetriever",
-    "VectorStore",
-    "Embeddings",
-    "TextSplitter",
-    "Document",
-    "AgentExecutor",
-    "Object",
-    "Callable",
-    "BasePromptTemplate",
-    "ChatPromptTemplate",
-    "Prompt",
-    "RangeSpec",
-    "TemplateField",
-]
diff --git a/src/backend/langflow/field_typing/constants.py b/src/backend/langflow/field_typing/constants.py
deleted file mode 100644
index 6680aceab6f..00000000000
--- a/src/backend/langflow/field_typing/constants.py
+++ /dev/null
@@ -1,60 +0,0 @@
-from typing import Callable, Dict, Union
-
-from langchain.agents.agent import AgentExecutor
-from langchain.chains.base import Chain
-from langchain.document_loaders.base import BaseLoader
-from langchain.llms.base import BaseLLM
-from langchain.memory.chat_memory import BaseChatMemory
-from langchain.prompts import BasePromptTemplate, ChatPromptTemplate, PromptTemplate
-from langchain.schema import BaseOutputParser, BaseRetriever, Document
-from langchain.schema.embeddings import Embeddings
-from langchain.schema.language_model import BaseLanguageModel
-from langchain.schema.memory import BaseMemory
-from langchain.text_splitter import TextSplitter
-from langchain.tools import Tool
-from langchain_community.vectorstores import VectorStore
-
-# Type alias for more complex dicts
-NestedDict = Dict[str, Union[str, Dict]]
-
-
-class Object:
-    pass
-
-
-class Data:
-    pass
-
-
-class Prompt:
-    pass
-
-
-LANGCHAIN_BASE_TYPES = {
-    "Chain": Chain,
-    "AgentExecutor": AgentExecutor,
-    "Tool": Tool,
-    "BaseLLM": BaseLLM,
-    "BaseLanguageModel": BaseLanguageModel,
-    "PromptTemplate": PromptTemplate,
-    "ChatPromptTemplate": ChatPromptTemplate,
-    "BasePromptTemplate": BasePromptTemplate,
-    "BaseLoader": BaseLoader,
-    "Document": Document,
-    "TextSplitter": TextSplitter,
-    "VectorStore": VectorStore,
-    "Embeddings": Embeddings,
-    "BaseRetriever": BaseRetriever,
-    "BaseOutputParser": BaseOutputParser,
-    "BaseMemory": BaseMemory,
-    "BaseChatMemory": BaseChatMemory,
-}
-# Langchain base types plus Python base types
-CUSTOM_COMPONENT_SUPPORTED_TYPES = {
-    **LANGCHAIN_BASE_TYPES,
-    "NestedDict": NestedDict,
-    "Data": Data,
-    "Object": Object,
-    "Callable": Callable,
-    "Prompt": Prompt,
-}
diff --git a/src/backend/langflow/field_typing/range_spec.py b/src/backend/langflow/field_typing/range_spec.py
deleted file mode 100644
index 036d21fa9c2..00000000000
--- a/src/backend/langflow/field_typing/range_spec.py
+++ /dev/null
@@ -1,21 +0,0 @@
-from pydantic import BaseModel, field_validator
-
-
-class RangeSpec(BaseModel):
-    min: float = -1.0
-    max: float = 1.0
-    step: float = 0.1
-
-    @field_validator("max")
-    @classmethod
-    def max_must_be_greater_than_min(cls, v, values, **kwargs):
-        if "min" in values.data and v <= values.data["min"]:
-            raise ValueError("max must be greater than min")
-        return v
-
-    @field_validator("step")
-    @classmethod
-    def step_must_be_positive(cls, v):
-        if v <= 0:
-            raise ValueError("step must be positive")
-        return v
diff --git a/src/backend/langflow/graph/__init__.py b/src/backend/langflow/graph/__init__.py
deleted file mode 100644
index e63b9dcc013..00000000000
--- a/src/backend/langflow/graph/__init__.py
+++ /dev/null
@@ -1,37 +0,0 @@
-from langflow.graph.edge.base import Edge
-from langflow.graph.graph.base import Graph
-from langflow.graph.vertex.base import Vertex
-from langflow.graph.vertex.types import (
-    AgentVertex,
-    ChainVertex,
-    DocumentLoaderVertex,
-    EmbeddingVertex,
-    LLMVertex,
-    MemoryVertex,
-    PromptVertex,
-    TextSplitterVertex,
-    ToolVertex,
-    ToolkitVertex,
-    VectorStoreVertex,
-    WrapperVertex,
-    RetrieverVertex,
-)
-
-__all__ = [
-    "Graph",
-    "Vertex",
-    "Edge",
-    "AgentVertex",
-    "ChainVertex",
-    "DocumentLoaderVertex",
-    "EmbeddingVertex",
-    "LLMVertex",
-    "MemoryVertex",
-    "PromptVertex",
-    "TextSplitterVertex",
-    "ToolVertex",
-    "ToolkitVertex",
-    "VectorStoreVertex",
-    "WrapperVertex",
-    "RetrieverVertex",
-]
diff --git a/src/backend/langflow/graph/edge/base.py b/src/backend/langflow/graph/edge/base.py
deleted file mode 100644
index 399638e18cb..00000000000
--- a/src/backend/langflow/graph/edge/base.py
+++ /dev/null
@@ -1,97 +0,0 @@
-from typing import TYPE_CHECKING, List, Optional
-
-from loguru import logger
-from pydantic import BaseModel, Field
-
-if TYPE_CHECKING:
-    from langflow.graph.vertex.base import Vertex
-
-
-class SourceHandle(BaseModel):
-    baseClasses: List[str] = Field(..., description="List of base classes for the source handle.")
-    dataType: str = Field(..., description="Data type for the source handle.")
-    id: str = Field(..., description="Unique identifier for the source handle.")
-
-
-class TargetHandle(BaseModel):
-    fieldName: str = Field(..., description="Field name for the target handle.")
-    id: str = Field(..., description="Unique identifier for the target handle.")
-    inputTypes: Optional[List[str]] = Field(None, description="List of input types for the target handle.")
-    type: str = Field(..., description="Type of the target handle.")
-
-
-class Edge:
-    def __init__(self, source: "Vertex", target: "Vertex", edge: dict):
-        self.source_id: str = source.id if source else ""
-        self.target_id: str = target.id if target else ""
-        if data := edge.get("data", {}):
-            self._source_handle = data.get("sourceHandle", {})
-            self._target_handle = data.get("targetHandle", {})
-            self.source_handle: SourceHandle = SourceHandle(**self._source_handle)
-            self.target_handle: TargetHandle = TargetHandle(**self._target_handle)
-            self.target_param = self.target_handle.fieldName
-            # validate handles
-            self.validate_handles(source, target)
-        else:
-            # Logging here because this is a breaking change
-            logger.error("Edge data is empty")
-            self._source_handle = edge.get("sourceHandle", "")
-            self._target_handle = edge.get("targetHandle", "")
-            # 'BaseLoader;BaseOutputParser|documents|PromptTemplate-zmTlD'
-            # target_param is documents
-            self.target_param = self._target_handle.split("|")[1]
-        # Validate in __init__ to fail fast
-        self.validate_edge(source, target)
-
-    def validate_handles(self, source, target) -> None:
-        if self.target_handle.inputTypes is None:
-            self.valid_handles = self.target_handle.type in self.source_handle.baseClasses
-        else:
-            self.valid_handles = (
-                any(baseClass in self.target_handle.inputTypes for baseClass in self.source_handle.baseClasses)
-                or self.target_handle.type in self.source_handle.baseClasses
-            )
-        if not self.valid_handles:
-            logger.debug(self.source_handle)
-            logger.debug(self.target_handle)
-            raise ValueError(f"Edge between {source.vertex_type} and {target.vertex_type} " f"has invalid handles")
-
-    def __setstate__(self, state):
-        self.source_id = state["source_id"]
-        self.target_id = state["target_id"]
-        self.target_param = state["target_param"]
-        self.source_handle = state.get("source_handle")
-        self.target_handle = state.get("target_handle")
-
-    def validate_edge(self, source, target) -> None:
-        # Validate that the outputs of the source node are valid inputs
-        # for the target node
-        self.source_types = source.output
-        self.target_reqs = target.required_inputs + target.optional_inputs
-        # Both lists contain strings and sometimes a string contains the value we are
-        # looking for e.g. comgin_out=["Chain"] and target_reqs=["LLMChain"]
-        # so we need to check if any of the strings in source_types is in target_reqs
-        self.valid = any(output in target_req for output in self.source_types for target_req in self.target_reqs)
-        # Get what type of input the target node is expecting
-
-        self.matched_type = next(
-            (output for output in self.source_types if output in self.target_reqs),
-            None,
-        )
-        no_matched_type = self.matched_type is None
-        if no_matched_type:
-            logger.debug(self.source_types)
-            logger.debug(self.target_reqs)
-            raise ValueError(f"Edge between {source.vertex_type} and {target.vertex_type} " f"has no matched type")
-
-    def __repr__(self) -> str:
-        return (
-            f"Edge(source={self.source_id}, target={self.target_id}, target_param={self.target_param}"
-            f", matched_type={self.matched_type})"
-        )
-
-    def __hash__(self) -> int:
-        return hash(self.__repr__())
-
-    def __eq__(self, __value: object) -> bool:
-        return self.__repr__() == __value.__repr__() if isinstance(__value, Edge) else False
diff --git a/src/backend/langflow/graph/graph/base.py b/src/backend/langflow/graph/graph/base.py
deleted file mode 100644
index d1629d49b7b..00000000000
--- a/src/backend/langflow/graph/graph/base.py
+++ /dev/null
@@ -1,255 +0,0 @@
-from typing import Dict, Generator, List, Type, Union
-
-from langchain.chains.base import Chain
-from loguru import logger
-
-from langflow.graph.edge.base import Edge
-from langflow.graph.graph.constants import lazy_load_vertex_dict
-from langflow.graph.graph.utils import process_flow
-from langflow.graph.vertex.base import Vertex
-from langflow.graph.vertex.types import FileToolVertex, LLMVertex, ToolkitVertex
-from langflow.interface.tools.constants import FILE_TOOLS
-from langflow.utils import payload
-
-
-class Graph:
-    """A class representing a graph of vertices and edges."""
-
-    def __init__(
-        self,
-        nodes: List[Dict],
-        edges: List[Dict[str, str]],
-    ) -> None:
-        self._vertices = nodes
-        self._edges = edges
-        self.raw_graph_data = {"nodes": nodes, "edges": edges}
-
-        self.top_level_vertices = []
-        for vertex in self._vertices:
-            if vertex_id := vertex.get("id"):
-                self.top_level_vertices.append(vertex_id)
-        self._graph_data = process_flow(self.raw_graph_data)
-
-        self._vertices = self._graph_data["nodes"]
-        self._edges = self._graph_data["edges"]
-        self._build_graph()
-
-    def __getstate__(self):
-        return self.raw_graph_data
-
-    def __setstate__(self, state):
-        self.__init__(**state)
-
-    @classmethod
-    def from_payload(cls, payload: Dict) -> "Graph":
-        """
-        Creates a graph from a payload.
-
-        Args:
-            payload (Dict): The payload to create the graph from.˜`
-
-        Returns:
-            Graph: The created graph.
-        """
-        if "data" in payload:
-            payload = payload["data"]
-        try:
-            vertices = payload["nodes"]
-            edges = payload["edges"]
-            return cls(vertices, edges)
-        except KeyError as exc:
-            logger.exception(exc)
-            raise ValueError(
-                f"Invalid payload. Expected keys 'nodes' and 'edges'. Found {list(payload.keys())}"
-            ) from exc
-
-    def __eq__(self, other: object) -> bool:
-        if not isinstance(other, Graph):
-            return False
-        return self.__repr__() == other.__repr__()
-
-    def _build_graph(self) -> None:
-        """Builds the graph from the vertices and edges."""
-        self.vertices = self._build_vertices()
-        self.vertex_map = {vertex.id: vertex for vertex in self.vertices}
-        self.edges = self._build_edges()
-
-        # This is a hack to make sure that the LLM vertex is sent to
-        # the toolkit vertex
-        self._build_vertex_params()
-        # remove invalid vertices
-        self._validate_vertices()
-
-    def _build_vertex_params(self) -> None:
-        """Identifies and handles the LLM vertex within the graph."""
-        llm_vertex = None
-        for vertex in self.vertices:
-            vertex._build_params()
-            if isinstance(vertex, LLMVertex):
-                llm_vertex = vertex
-
-        if llm_vertex:
-            for vertex in self.vertices:
-                if isinstance(vertex, ToolkitVertex):
-                    vertex.params["llm"] = llm_vertex
-
-    def _validate_vertices(self) -> None:
-        """Check that all vertices have edges"""
-        if len(self.vertices) == 1:
-            return
-        for vertex in self.vertices:
-            if not self._validate_vertex(vertex):
-                raise ValueError(f"{vertex.vertex_type} is not connected to any other components")
-
-    def _validate_vertex(self, vertex: Vertex) -> bool:
-        """Validates a vertex."""
-        # All vertices that do not have edges are invalid
-        return len(self.get_vertex_edges(vertex.id)) > 0
-
-    def get_vertex(self, vertex_id: str) -> Union[None, Vertex]:
-        """Returns a vertex by id."""
-        return self.vertex_map.get(vertex_id)
-
-    def get_vertex_edges(self, vertex_id: str) -> List[Edge]:
-        """Returns a list of edges for a given vertex."""
-        return [edge for edge in self.edges if edge.source_id == vertex_id or edge.target_id == vertex_id]
-
-    def get_vertices_with_target(self, vertex_id: str) -> List[Vertex]:
-        """Returns the vertices connected to a vertex."""
-        vertices: List[Vertex] = []
-        for edge in self.edges:
-            if edge.target_id == vertex_id:
-                vertex = self.get_vertex(edge.source_id)
-                if vertex is None:
-                    continue
-                vertices.append(vertex)
-        return vertices
-
-    async def build(self) -> Chain:
-        """Builds the graph."""
-        # Get root vertex
-        root_vertex = payload.get_root_vertex(self)
-        if root_vertex is None:
-            raise ValueError("No root vertex found")
-        return await root_vertex.build()
-
-    def topological_sort(self) -> List[Vertex]:
-        """
-        Performs a topological sort of the vertices in the graph.
-
-        Returns:
-            List[Vertex]: A list of vertices in topological order.
-
-        Raises:
-            ValueError: If the graph contains a cycle.
-        """
-        # States: 0 = unvisited, 1 = visiting, 2 = visited
-        state = {vertex: 0 for vertex in self.vertices}
-        sorted_vertices = []
-
-        def dfs(vertex):
-            if state[vertex] == 1:
-                # We have a cycle
-                raise ValueError("Graph contains a cycle, cannot perform topological sort")
-            if state[vertex] == 0:
-                state[vertex] = 1
-                for edge in vertex.edges:
-                    if edge.source_id == vertex.id:
-                        dfs(self.get_vertex(edge.target_id))
-                state[vertex] = 2
-                sorted_vertices.append(vertex)
-
-        # Visit each vertex
-        for vertex in self.vertices:
-            if state[vertex] == 0:
-                dfs(vertex)
-
-        return list(reversed(sorted_vertices))
-
-    def generator_build(self) -> Generator[Vertex, None, None]:
-        """Builds each vertex in the graph and yields it."""
-        sorted_vertices = self.topological_sort()
-        logger.debug("There are %s vertices in the graph", len(sorted_vertices))
-        yield from sorted_vertices
-
-    def get_vertex_neighbors(self, vertex: Vertex) -> Dict[Vertex, int]:
-        """Returns the neighbors of a vertex."""
-        neighbors: Dict[Vertex, int] = {}
-        for edge in self.edges:
-            if edge.source_id == vertex.id:
-                neighbor = self.get_vertex(edge.target_id)
-                if neighbor is None:
-                    continue
-                if neighbor not in neighbors:
-                    neighbors[neighbor] = 0
-                neighbors[neighbor] += 1
-            elif edge.target_id == vertex.id:
-                neighbor = self.get_vertex(edge.source_id)
-                if neighbor is None:
-                    continue
-                if neighbor not in neighbors:
-                    neighbors[neighbor] = 0
-                neighbors[neighbor] += 1
-        return neighbors
-
-    def _build_edges(self) -> List[Edge]:
-        """Builds the edges of the graph."""
-        # Edge takes two vertices as arguments, so we need to build the vertices first
-        # and then build the edges
-        # if we can't find a vertex, we raise an error
-
-        edges: List[Edge] = []
-        for edge in self._edges:
-            source = self.get_vertex(edge["source"])
-            target = self.get_vertex(edge["target"])
-            if source is None:
-                raise ValueError(f"Source vertex {edge['source']} not found")
-            if target is None:
-                raise ValueError(f"Target vertex {edge['target']} not found")
-            edges.append(Edge(source, target, edge))
-        return edges
-
-    def _get_vertex_class(self, vertex_type: str, vertex_base_type: str) -> Type[Vertex]:
-        """Returns the vertex class based on the vertex type."""
-        if vertex_type in FILE_TOOLS:
-            return FileToolVertex
-        if vertex_base_type == "CustomComponent":
-            return lazy_load_vertex_dict.get_custom_component_vertex_type()
-
-        if vertex_base_type in lazy_load_vertex_dict.VERTEX_TYPE_MAP:
-            return lazy_load_vertex_dict.VERTEX_TYPE_MAP[vertex_base_type]
-        return (
-            lazy_load_vertex_dict.VERTEX_TYPE_MAP[vertex_type]
-            if vertex_type in lazy_load_vertex_dict.VERTEX_TYPE_MAP
-            else Vertex
-        )
-
-    def _build_vertices(self) -> List[Vertex]:
-        """Builds the vertices of the graph."""
-        vertices: List[Vertex] = []
-        for vertex in self._vertices:
-            vertex_data = vertex["data"]
-            vertex_type: str = vertex_data["type"]  # type: ignore
-            vertex_base_type: str = vertex_data["node"]["template"]["_type"]  # type: ignore
-
-            VertexClass = self._get_vertex_class(vertex_type, vertex_base_type)
-            vertex_instance = VertexClass(vertex, graph=self)
-            vertex_instance.set_top_level(self.top_level_vertices)
-            vertices.append(vertex_instance)
-
-        return vertices
-
-    def get_children_by_vertex_type(self, vertex: Vertex, vertex_type: str) -> List[Vertex]:
-        """Returns the children of a vertex based on the vertex type."""
-        children = []
-        vertex_types = [vertex.data["type"]]
-        if "node" in vertex.data:
-            vertex_types += vertex.data["node"]["base_classes"]
-        if vertex_type in vertex_types:
-            children.append(vertex)
-        return children
-
-    def __repr__(self):
-        vertex_ids = [vertex.id for vertex in self.vertices]
-        edges_repr = "\n".join([f"{edge.source_id} --> {edge.target_id}" for edge in self.edges])
-        return f"Graph:\nNodes: {vertex_ids}\nConnections:\n{edges_repr}"
diff --git a/src/backend/langflow/graph/graph/constants.py b/src/backend/langflow/graph/graph/constants.py
deleted file mode 100644
index 928280743e3..00000000000
--- a/src/backend/langflow/graph/graph/constants.py
+++ /dev/null
@@ -1,57 +0,0 @@
-from langflow.graph.vertex import types
-from langflow.interface.agents.base import agent_creator
-from langflow.interface.chains.base import chain_creator
-from langflow.interface.custom.base import custom_component_creator
-from langflow.interface.document_loaders.base import documentloader_creator
-from langflow.interface.embeddings.base import embedding_creator
-from langflow.interface.llms.base import llm_creator
-from langflow.interface.memories.base import memory_creator
-from langflow.interface.output_parsers.base import output_parser_creator
-from langflow.interface.prompts.base import prompt_creator
-from langflow.interface.retrievers.base import retriever_creator
-from langflow.interface.text_splitters.base import textsplitter_creator
-from langflow.interface.toolkits.base import toolkits_creator
-from langflow.interface.tools.base import tool_creator
-from langflow.interface.wrappers.base import wrapper_creator
-from langflow.utils.lazy_load import LazyLoadDictBase
-
-
-class VertexTypesDict(LazyLoadDictBase):
-    def __init__(self):
-        self._all_types_dict = None
-
-    @property
-    def VERTEX_TYPE_MAP(self):
-        return self.all_types_dict
-
-    def _build_dict(self):
-        langchain_types_dict = self.get_type_dict()
-        return {
-            **langchain_types_dict,
-            "Custom": ["Custom Tool", "Python Function"],
-        }
-
-    def get_custom_component_vertex_type(self):
-        return types.CustomComponentVertex
-
-    def get_type_dict(self):
-        return {
-            **{t: types.PromptVertex for t in prompt_creator.to_list()},
-            **{t: types.AgentVertex for t in agent_creator.to_list()},
-            **{t: types.ChainVertex for t in chain_creator.to_list()},
-            **{t: types.ToolVertex for t in tool_creator.to_list()},
-            **{t: types.ToolkitVertex for t in toolkits_creator.to_list()},
-            **{t: types.WrapperVertex for t in wrapper_creator.to_list()},
-            **{t: types.LLMVertex for t in llm_creator.to_list()},
-            **{t: types.MemoryVertex for t in memory_creator.to_list()},
-            **{t: types.EmbeddingVertex for t in embedding_creator.to_list()},
-            # **{t: types.VectorStoreVertex for t in vectorstore_creator.to_list()},
-            **{t: types.DocumentLoaderVertex for t in documentloader_creator.to_list()},
-            **{t: types.TextSplitterVertex for t in textsplitter_creator.to_list()},
-            **{t: types.OutputParserVertex for t in output_parser_creator.to_list()},
-            **{t: types.CustomComponentVertex for t in custom_component_creator.to_list()},
-            **{t: types.RetrieverVertex for t in retriever_creator.to_list()},
-        }
-
-
-lazy_load_vertex_dict = VertexTypesDict()
diff --git a/src/backend/langflow/graph/graph/utils.py b/src/backend/langflow/graph/graph/utils.py
deleted file mode 100644
index d43fc4d840b..00000000000
--- a/src/backend/langflow/graph/graph/utils.py
+++ /dev/null
@@ -1,247 +0,0 @@
-import copy
-from collections import deque
-from typing import Dict, List
-
-
-def find_last_node(nodes, edges):
-    """
-    This function receives a flow and returns the last node.
-    """
-    return next((n for n in nodes if all(e["source"] != n["id"] for e in edges)), None)
-
-
-def add_parent_node_id(nodes, parent_node_id):
-    """
-    This function receives a list of nodes and adds a parent_node_id to each node.
-    """
-    for node in nodes:
-        node["parent_node_id"] = parent_node_id
-
-
-def ungroup_node(group_node_data, base_flow):
-    template, flow = (
-        group_node_data["node"]["template"],
-        group_node_data["node"]["flow"],
-    )
-    parent_node_id = group_node_data["id"]
-    g_nodes = flow["data"]["nodes"]
-    add_parent_node_id(g_nodes, parent_node_id)
-    g_edges = flow["data"]["edges"]
-
-    # Redirect edges to the correct proxy node
-    updated_edges = get_updated_edges(base_flow, g_nodes, g_edges, group_node_data["id"])
-
-    # Update template values
-    update_template(template, g_nodes)
-
-    nodes = [n for n in base_flow["nodes"] if n["id"] != group_node_data["id"]] + g_nodes
-    edges = (
-        [e for e in base_flow["edges"] if e["target"] != group_node_data["id"] and e["source"] != group_node_data["id"]]
-        + g_edges
-        + updated_edges
-    )
-
-    base_flow["nodes"] = nodes
-    base_flow["edges"] = edges
-
-    return nodes
-
-
-def raw_topological_sort(nodes, edges) -> List[Dict]:
-    # Redefine the above function but using the nodes and self._edges
-    # which are dicts instead of Vertex and Edge objects
-    # nodes have an id, edges have a source and target keys
-    # return a list of node ids in topological order
-
-    # States: 0 = unvisited, 1 = visiting, 2 = visited
-    state = {node["id"]: 0 for node in nodes}
-    nodes_dict = {node["id"]: node for node in nodes}
-    sorted_vertices = []
-
-    def dfs(node):
-        if state[node] == 1:
-            # We have a cycle
-            raise ValueError("Graph contains a cycle, cannot perform topological sort")
-        if state[node] == 0:
-            state[node] = 1
-            for edge in edges:
-                if edge["source"] == node:
-                    dfs(edge["target"])
-            state[node] = 2
-            sorted_vertices.append(node)
-
-    # Visit each node
-    for node in nodes:
-        if state[node["id"]] == 0:
-            dfs(node["id"])
-
-    reverse_sorted = list(reversed(sorted_vertices))
-    return [nodes_dict[node_id] for node_id in reverse_sorted]
-
-
-def process_flow(flow_object):
-    cloned_flow = copy.deepcopy(flow_object)
-    processed_nodes = set()  # To keep track of processed nodes
-
-    def process_node(node):
-        node_id = node.get("id")
-
-        # If node already processed, skip
-        if node_id in processed_nodes:
-            return
-
-        if node.get("data") and node["data"].get("node") and node["data"]["node"].get("flow"):
-            process_flow(node["data"]["node"]["flow"]["data"])
-            new_nodes = ungroup_node(node["data"], cloned_flow)
-            # Add new nodes to the queue for future processing
-            nodes_to_process.extend(new_nodes)
-
-        # Mark node as processed
-        processed_nodes.add(node_id)
-
-    sorted_nodes_list = raw_topological_sort(cloned_flow["nodes"], cloned_flow["edges"])
-    nodes_to_process = deque(sorted_nodes_list)
-
-    while nodes_to_process:
-        node = nodes_to_process.popleft()
-        process_node(node)
-
-    return cloned_flow
-
-
-def update_template(template, g_nodes):
-    """
-    Updates the template of a node in a graph with the given template.
-
-    Args:
-        template (dict): The new template to update the node with.
-        g_nodes (list): The list of nodes in the graph.
-
-    Returns:
-        None
-    """
-    for _, value in template.items():
-        if not value.get("proxy"):
-            continue
-        proxy_dict = value["proxy"]
-        field, id_ = proxy_dict["field"], proxy_dict["id"]
-        node_index = next((i for i, n in enumerate(g_nodes) if n["id"] == id_), -1)
-        if node_index != -1:
-            display_name = None
-            show = g_nodes[node_index]["data"]["node"]["template"][field]["show"]
-            advanced = g_nodes[node_index]["data"]["node"]["template"][field]["advanced"]
-            if "display_name" in g_nodes[node_index]["data"]["node"]["template"][field]:
-                display_name = g_nodes[node_index]["data"]["node"]["template"][field]["display_name"]
-            else:
-                display_name = g_nodes[node_index]["data"]["node"]["template"][field]["name"]
-
-            g_nodes[node_index]["data"]["node"]["template"][field] = value
-            g_nodes[node_index]["data"]["node"]["template"][field]["show"] = show
-            g_nodes[node_index]["data"]["node"]["template"][field]["advanced"] = advanced
-            g_nodes[node_index]["data"]["node"]["template"][field]["display_name"] = display_name
-
-
-def update_target_handle(
-    new_edge,
-    g_nodes,
-    group_node_id,
-):
-    """
-    Updates the target handle of a given edge if it is a proxy node.
-
-    Args:
-        new_edge (dict): The edge to update.
-        g_nodes (list): The list of nodes in the graph.
-        group_node_id (str): The ID of the group node.
-
-    Returns:
-        dict: The updated edge.
-    """
-    target_handle = new_edge["data"]["targetHandle"]
-    if target_handle.get("proxy"):
-        proxy_id = target_handle["proxy"]["id"]
-        if node := next((n for n in g_nodes if n["id"] == proxy_id), None):
-            set_new_target_handle(proxy_id, new_edge, target_handle, node)
-        else:
-            raise ValueError(f"Group node {group_node_id} has an invalid target proxy node {proxy_id}")
-    return new_edge
-
-
-def set_new_target_handle(proxy_id, new_edge, target_handle, node):
-    """
-    Sets a new target handle for a given edge.
-
-    Args:
-        proxy_id (str): The ID of the proxy.
-        new_edge (dict): The new edge to be created.
-        target_handle (dict): The target handle of the edge.
-        node (dict): The node containing the edge.
-
-    Returns:
-        None
-    """
-    new_edge["target"] = proxy_id
-    _type = target_handle.get("type")
-    if _type is None:
-        raise KeyError("The 'type' key must be present in target_handle.")
-
-    field = target_handle["proxy"]["field"]
-    new_target_handle = {
-        "fieldName": field,
-        "type": _type,
-        "id": proxy_id,
-    }
-    if node["data"]["node"].get("flow"):
-        new_target_handle["proxy"] = {
-            "field": node["data"]["node"]["template"][field]["proxy"]["field"],
-            "id": node["data"]["node"]["template"][field]["proxy"]["id"],
-        }
-    if input_types := target_handle.get("inputTypes"):
-        new_target_handle["inputTypes"] = input_types
-    new_edge["data"]["targetHandle"] = new_target_handle
-
-
-def update_source_handle(new_edge, g_nodes, g_edges):
-    """
-    Updates the source handle of a given edge to the last node in the flow data.
-
-    Args:
-        new_edge (dict): The edge to update.
-        flow_data (dict): The flow data containing the nodes and edges.
-
-    Returns:
-        dict: The updated edge with the new source handle.
-    """
-    last_node = copy.deepcopy(find_last_node(g_nodes, g_edges))
-    new_edge["source"] = last_node["id"]
-    new_source_handle = new_edge["data"]["sourceHandle"]
-    new_source_handle["id"] = last_node["id"]
-    new_edge["data"]["sourceHandle"] = new_source_handle
-    return new_edge
-
-
-def get_updated_edges(base_flow, g_nodes, g_edges, group_node_id):
-    """
-    Given a base flow, a list of graph nodes and a group node id, returns a list of updated edges.
-    An updated edge is an edge that has its target or source handle updated based on the group node id.
-
-    Args:
-        base_flow (dict): The base flow containing a list of edges.
-        g_nodes (list): A list of graph nodes.
-        group_node_id (str): The id of the group node.
-
-    Returns:
-        list: A list of updated edges.
-    """
-    updated_edges = []
-    for edge in base_flow["edges"]:
-        new_edge = copy.deepcopy(edge)
-        if new_edge["target"] == group_node_id:
-            new_edge = update_target_handle(new_edge, g_nodes, group_node_id)
-
-        if new_edge["source"] == group_node_id:
-            new_edge = update_source_handle(new_edge, g_nodes, g_edges)
-
-        if edge["target"] == group_node_id or edge["source"] == group_node_id:
-            updated_edges.append(new_edge)
-    return updated_edges
diff --git a/src/backend/langflow/graph/utils.py b/src/backend/langflow/graph/utils.py
deleted file mode 100644
index e163d76c48a..00000000000
--- a/src/backend/langflow/graph/utils.py
+++ /dev/null
@@ -1,31 +0,0 @@
-from typing import Any, Union
-
-from langflow.interface.utils import extract_input_variables_from_prompt
-
-
-class UnbuiltObject:
-    pass
-
-
-def validate_prompt(prompt: str):
-    """Validate prompt."""
-    if extract_input_variables_from_prompt(prompt):
-        return prompt
-
-    return fix_prompt(prompt)
-
-
-def fix_prompt(prompt: str):
-    """Fix prompt."""
-    return prompt + " {input}"
-
-
-def flatten_list(list_of_lists: list[Union[list, Any]]) -> list:
-    """Flatten list of lists."""
-    new_list = []
-    for item in list_of_lists:
-        if isinstance(item, list):
-            new_list.extend(item)
-        else:
-            new_list.append(item)
-    return new_list
diff --git a/src/backend/langflow/graph/vertex/base.py b/src/backend/langflow/graph/vertex/base.py
deleted file mode 100644
index bd38186e152..00000000000
--- a/src/backend/langflow/graph/vertex/base.py
+++ /dev/null
@@ -1,378 +0,0 @@
-import ast
-import inspect
-import types
-from typing import TYPE_CHECKING, Any, Coroutine, Dict, List, Optional
-
-from langflow.graph.utils import UnbuiltObject
-from langflow.interface.initialize import loading
-from langflow.interface.listing import lazy_load_dict
-from langflow.utils.constants import DIRECT_TYPES
-from langflow.utils.util import sync_to_async
-from loguru import logger
-
-if TYPE_CHECKING:
-    from langflow.graph.edge.base import Edge
-    from langflow.graph.graph.base import Graph
-
-
-class Vertex:
-    def __init__(
-        self,
-        data: Dict,
-        graph: "Graph",
-        base_type: Optional[str] = None,
-        is_task: bool = False,
-        params: Optional[Dict] = None,
-    ) -> None:
-        self.graph = graph
-        self.id: str = data["id"]
-        self._data = data
-        self.base_type: Optional[str] = base_type
-        self._parse_data()
-        self._built_object = UnbuiltObject()
-        self._built = False
-        self.artifacts: Dict[str, Any] = {}
-        self.task_id: Optional[str] = None
-        self.is_task = is_task
-        self.params = params or {}
-        self.parent_node_id: Optional[str] = self._data.get("parent_node_id")
-        self.parent_is_top_level = False
-
-    @property
-    def edges(self) -> List["Edge"]:
-        return self.graph.get_vertex_edges(self.id)
-
-    def __getstate__(self):
-        return {
-            "_data": self._data,
-            "params": {},
-            "base_type": self.base_type,
-            "is_task": self.is_task,
-            "id": self.id,
-            "_built_object": UnbuiltObject(),
-            "_built": False,
-            "parent_node_id": self.parent_node_id,
-            "parent_is_top_level": self.parent_is_top_level,
-        }
-
-    def __setstate__(self, state):
-        self._data = state["_data"]
-        self.params = state["params"]
-        self.base_type = state["base_type"]
-        self.is_task = state["is_task"]
-        self.id = state["id"]
-        self._parse_data()
-        if "_built_object" in state:
-            self._built_object = state["_built_object"]
-            self._built = state["_built"]
-        else:
-            self._built_object = UnbuiltObject()
-            self._built = False
-        self.artifacts: Dict[str, Any] = {}
-        self.task_id: Optional[str] = None
-        self.parent_node_id = state["parent_node_id"]
-        self.parent_is_top_level = state["parent_is_top_level"]
-
-    def set_top_level(self, top_level_vertices: List[str]) -> None:
-        self.parent_is_top_level = self.parent_node_id in top_level_vertices
-
-    def _parse_data(self) -> None:
-        self.data = self._data["data"]
-        self.output = self.data["node"]["base_classes"]
-        template_dicts = {key: value for key, value in self.data["node"]["template"].items() if isinstance(value, dict)}
-
-        self.required_inputs = [
-            template_dicts[key]["type"] for key, value in template_dicts.items() if value["required"]
-        ]
-        self.optional_inputs = [
-            template_dicts[key]["type"] for key, value in template_dicts.items() if not value["required"]
-        ]
-        # Add the template_dicts[key]["input_types"] to the optional_inputs
-        self.optional_inputs.extend(
-            [input_type for value in template_dicts.values() for input_type in value.get("input_types", [])]
-        )
-
-        template_dict = self.data["node"]["template"]
-        self.vertex_type = (
-            self.data["type"]
-            if "Tool" not in self.output or template_dict["_type"].islower()
-            else template_dict["_type"]
-        )
-
-        if self.base_type is None:
-            for base_type, value in lazy_load_dict.ALL_TYPES_DICT.items():
-                if self.vertex_type in value:
-                    self.base_type = base_type
-                    break
-
-    def get_task(self):
-        # using the task_id, get the task from celery
-        # and return it
-        from celery.result import AsyncResult  # type: ignore
-
-        return AsyncResult(self.task_id)
-
-    def _build_params(self):
-        # sourcery skip: merge-list-append, remove-redundant-if
-        # Some params are required, some are optional
-        # but most importantly, some params are python base classes
-        # like str and others are LangChain objects like LLMChain, BasePromptTemplate
-        # so we need to be able to distinguish between the two
-
-        # The dicts with "type" == "str" are the ones that are python base classes
-        # and most likely have a "value" key
-
-        # So for each key besides "_type" in the template dict, we have a dict
-        # with a "type" key. If the type is not "str", then we need to get the
-        # edge that connects to that node and get the Node with the required data
-        # and use that as the value for the param
-        # If the type is "str", then we need to get the value of the "value" key
-        # and use that as the value for the param
-
-        if self.graph is None:
-            raise ValueError("Graph not found")
-
-        template_dict = {key: value for key, value in self.data["node"]["template"].items() if isinstance(value, dict)}
-        params = self.params.copy() if self.params else {}
-
-        for edge in self.edges:
-            if not hasattr(edge, "target_param"):
-                continue
-            param_key = edge.target_param
-
-            # If the param_key is in the template_dict and the edge.target_id is the current node
-            # We check this to make sure params with the same name but different target_id
-            # don't get overwritten
-            if param_key in template_dict and edge.target_id == self.id:
-                if template_dict[param_key]["list"]:
-                    if param_key not in params:
-                        params[param_key] = []
-                    params[param_key].append(self.graph.get_vertex(edge.source_id))
-                elif edge.target_id == self.id:
-                    params[param_key] = self.graph.get_vertex(edge.source_id)
-
-        for key, value in template_dict.items():
-            if key in params:
-                continue
-            # Skip _type and any value that has show == False and is not code
-            # If we don't want to show code but we want to use it
-            if key == "_type" or (not value.get("show") and key != "code"):
-                continue
-            # If the type is not transformable to a python base class
-            # then we need to get the edge that connects to this node
-            if value.get("type") == "file":
-                # Load the type in value.get('fileTypes') using
-                # what is inside value.get('content')
-                # value.get('value') is the file name
-                if file_path := value.get("file_path"):
-                    params[key] = file_path
-                else:
-                    raise ValueError(f"File path not found for {self.vertex_type}")
-            elif value.get("type") in DIRECT_TYPES and params.get(key) is None:
-                val = value.get("value")
-                if value.get("type") == "code":
-                    try:
-                        params[key] = ast.literal_eval(val) if val else None
-                    except Exception as exc:
-                        logger.debug(f"Error parsing code: {exc}")
-                        params[key] = val
-                elif value.get("type") in ["dict", "NestedDict"]:
-                    # When dict comes from the frontend it comes as a
-                    # list of dicts, so we need to convert it to a dict
-                    # before passing it to the build method
-                    if isinstance(val, list):
-                        params[key] = {k: v for item in value.get("value", []) for k, v in item.items()}
-                    elif isinstance(val, dict):
-                        params[key] = val
-                elif value.get("type") == "int" and val is not None:
-                    try:
-                        params[key] = int(val)
-                    except ValueError:
-                        params[key] = val
-                elif value.get("type") == "float" and val is not None:
-                    try:
-                        params[key] = float(val)
-                    except ValueError:
-                        params[key] = val
-                elif val is not None and val != "":
-                    params[key] = val
-
-            if not value.get("required") and params.get(key) is None:
-                if value.get("default"):
-                    params[key] = value.get("default")
-                else:
-                    params.pop(key, None)
-        # Add _type to params
-        self._raw_params = params
-        self.params = params
-
-    async def _build(self, user_id=None):
-        """
-        Initiate the build process.
-        """
-        logger.debug(f"Building {self.vertex_type}")
-        await self._build_each_node_in_params_dict(user_id)
-        await self._get_and_instantiate_class(user_id)
-        self._validate_built_object()
-
-        self._built = True
-
-    async def _build_each_node_in_params_dict(self, user_id=None):
-        """
-        Iterates over each node in the params dictionary and builds it.
-        """
-        for key, value in self.params.copy().items():
-            if self._is_node(value):
-                if value == self:
-                    del self.params[key]
-                    continue
-                await self._build_node_and_update_params(key, value, user_id)
-            elif isinstance(value, list) and self._is_list_of_nodes(value):
-                await self._build_list_of_nodes_and_update_params(key, value, user_id)
-
-    def _is_node(self, value):
-        """
-        Checks if the provided value is an instance of Vertex.
-        """
-        return isinstance(value, Vertex)
-
-    def _is_list_of_nodes(self, value):
-        """
-        Checks if the provided value is a list of Vertex instances.
-        """
-        return all(self._is_node(node) for node in value)
-
-    async def get_result(self, user_id=None, timeout=None) -> Any:
-        # Check if the Vertex was built already
-        if self._built:
-            return self._built_object
-
-        if self.is_task and self.task_id is not None:
-            task = self.get_task()
-
-            result = task.get(timeout=timeout)
-            if isinstance(result, Coroutine):
-                result = await result
-            if result is not None:  # If result is ready
-                self._update_built_object_and_artifacts(result)
-                return self._built_object
-            else:
-                # Handle the case when the result is not ready (retry, throw exception, etc.)
-                pass
-
-        # If there's no task_id, build the vertex locally
-        await self.build(user_id=user_id)
-        return self._built_object
-
-    async def _build_node_and_update_params(self, key, node, user_id=None):
-        """
-        Builds a given node and updates the params dictionary accordingly.
-        """
-
-        result = await node.get_result(user_id)
-        self._handle_func(key, result)
-        if isinstance(result, list):
-            self._extend_params_list_with_result(key, result)
-        self.params[key] = result
-
-    async def _build_list_of_nodes_and_update_params(self, key, nodes: List["Vertex"], user_id=None):
-        """
-        Iterates over a list of nodes, builds each and updates the params dictionary.
-        """
-        self.params[key] = []
-        for node in nodes:
-            built = await node.get_result(user_id)
-            if isinstance(built, list):
-                if key not in self.params:
-                    self.params[key] = []
-                self.params[key].extend(built)
-            else:
-                self.params[key].append(built)
-
-    def _handle_func(self, key, result):
-        """
-        Handles 'func' key by checking if the result is a function and setting it as coroutine.
-        """
-        if key == "func":
-            if not isinstance(result, types.FunctionType):
-                if hasattr(result, "run"):
-                    result = result.run  # type: ignore
-                elif hasattr(result, "get_function"):
-                    result = result.get_function()  # type: ignore
-            elif inspect.iscoroutinefunction(result):
-                self.params["coroutine"] = result
-            else:
-                self.params["coroutine"] = sync_to_async(result)
-
-    def _extend_params_list_with_result(self, key, result):
-        """
-        Extends a list in the params dictionary with the given result if it exists.
-        """
-        if isinstance(self.params[key], list):
-            self.params[key].extend(result)
-
-    async def _get_and_instantiate_class(self, user_id=None):
-        """
-        Gets the class from a dictionary and instantiates it with the params.
-        """
-        if self.base_type is None:
-            raise ValueError(f"Base type for node {self.vertex_type} not found")
-        try:
-            result = await loading.instantiate_class(
-                node_type=self.vertex_type,
-                base_type=self.base_type,
-                params=self.params,
-                user_id=user_id,
-            )
-            self._update_built_object_and_artifacts(result)
-        except Exception as exc:
-            logger.exception(exc)
-            raise ValueError(f"Error building node {self.vertex_type}(ID:{self.id}): {str(exc)}") from exc
-
-    def _update_built_object_and_artifacts(self, result):
-        """
-        Updates the built object and its artifacts.
-        """
-        if isinstance(result, tuple):
-            self._built_object, self.artifacts = result
-        else:
-            self._built_object = result
-
-    def _validate_built_object(self):
-        """
-        Checks if the built object is None and raises a ValueError if so.
-        """
-        if isinstance(self._built_object, UnbuiltObject):
-            raise ValueError(f"{self.vertex_type}: {self._built_object_repr()}")
-        elif self._built_object is None:
-            message = f"{self.vertex_type} returned None."
-            if self.base_type == "custom_components":
-                message += " Make sure your build method returns a component."
-
-            logger.warning(message)
-
-    async def build(self, force: bool = False, user_id=None, *args, **kwargs) -> Any:
-        if not self._built or force:
-            await self._build(user_id, *args, **kwargs)
-
-        return self._built_object
-
-    def add_edge(self, edge: "Edge") -> None:
-        if edge not in self.edges:
-            self.edges.append(edge)
-
-    def __repr__(self) -> str:
-        return f"Vertex(id={self.id}, data={self.data})"
-
-    def __eq__(self, __o: object) -> bool:
-        try:
-            return self.id == __o.id if isinstance(__o, Vertex) else False
-        except AttributeError:
-            return False
-
-    def __hash__(self) -> int:
-        return id(self)
-
-    def _built_object_repr(self):
-        # Add a message with an emoji, stars for sucess,
-        return "Built sucessfully ✨" if self._built_object is not None else "Failed to build 😵‍💫"
diff --git a/src/backend/langflow/graph/vertex/types.py b/src/backend/langflow/graph/vertex/types.py
deleted file mode 100644
index 7439876faed..00000000000
--- a/src/backend/langflow/graph/vertex/types.py
+++ /dev/null
@@ -1,302 +0,0 @@
-import ast
-from typing import Any, Dict, List, Optional, Union
-
-from langflow.graph.utils import UnbuiltObject, flatten_list
-from langflow.graph.vertex.base import Vertex
-from langflow.interface.utils import extract_input_variables_from_prompt
-
-
-class AgentVertex(Vertex):
-    def __init__(self, data: Dict, graph, params: Optional[Dict] = None):
-        super().__init__(data, graph=graph, base_type="agents", params=params)
-
-        self.tools: List[Union[ToolkitVertex, ToolVertex]] = []
-        self.chains: List[ChainVertex] = []
-
-    def __getstate__(self):
-        state = super().__getstate__()
-        state["tools"] = self.tools
-        state["chains"] = self.chains
-        return state
-
-    def __setstate__(self, state):
-        self.tools = state["tools"]
-        self.chains = state["chains"]
-        super().__setstate__(state)
-
-    def _set_tools_and_chains(self) -> None:
-        for edge in self.edges:
-            if not hasattr(edge, "source_id"):
-                continue
-            source_node = self.graph.get_vertex(edge.source_id)
-            if isinstance(source_node, (ToolVertex, ToolkitVertex)):
-                self.tools.append(source_node)
-            elif isinstance(source_node, ChainVertex):
-                self.chains.append(source_node)
-
-    async def build(self, force: bool = False, user_id=None, *args, **kwargs) -> Any:
-        if not self._built or force:
-            self._set_tools_and_chains()
-            # First, build the tools
-            for tool_node in self.tools:
-                await tool_node.build(user_id=user_id)
-
-            # Next, build the chains and the rest
-            for chain_node in self.chains:
-                await chain_node.build(tools=self.tools, user_id=user_id)
-
-            await self._build(user_id=user_id)
-
-        return self._built_object
-
-
-class ToolVertex(Vertex):
-    def __init__(
-        self,
-        data: Dict,
-        graph,
-        params: Optional[Dict] = None,
-    ):
-        super().__init__(data, graph=graph, base_type="tools", params=params)
-
-
-class LLMVertex(Vertex):
-    built_node_type = None
-    class_built_object = None
-
-    def __init__(self, data: Dict, graph, params: Optional[Dict] = None):
-        super().__init__(data, graph=graph, base_type="llms", params=params)
-
-    async def build(self, force: bool = False, user_id=None, *args, **kwargs) -> Any:
-        # LLM is different because some models might take up too much memory
-        # or time to load. So we only load them when we need them.ß
-        if self.vertex_type == self.built_node_type:
-            return self.class_built_object
-        if not self._built or force:
-            await self._build(user_id=user_id)
-            self.built_node_type = self.vertex_type
-            self.class_built_object = self._built_object
-        # Avoid deepcopying the LLM
-        # that are loaded from a file
-        return self._built_object
-
-
-class ToolkitVertex(Vertex):
-    def __init__(self, data: Dict, graph, params=None):
-        super().__init__(data, graph=graph, base_type="toolkits", params=params)
-
-
-class FileToolVertex(ToolVertex):
-    def __init__(self, data: Dict, graph, params=None):
-        super().__init__(data, graph=graph, params=params)
-
-
-class WrapperVertex(Vertex):
-    def __init__(self, data: Dict, graph):
-        super().__init__(data, graph=graph, base_type="wrappers")
-
-    async def build(self, force: bool = False, user_id=None, *args, **kwargs) -> Any:
-        if not self._built or force:
-            if "headers" in self.params:
-                self.params["headers"] = ast.literal_eval(self.params["headers"])
-            await self._build(user_id=user_id)
-        return self._built_object
-
-
-class DocumentLoaderVertex(Vertex):
-    def __init__(self, data: Dict, graph, params: Optional[Dict] = None):
-        super().__init__(data, graph=graph, base_type="documentloaders", params=params)
-
-    def _built_object_repr(self):
-        # This built_object is a list of documents. Maybe we should
-        # show how many documents are in the list?
-
-        if self._built_object and not isinstance(self._built_object, UnbuiltObject):
-            avg_length = sum(len(doc.page_content) for doc in self._built_object if hasattr(doc, "page_content")) / len(
-                self._built_object
-            )
-            return f"""{self.vertex_type}({len(self._built_object)} documents)
-            \nAvg. Document Length (characters): {int(avg_length)}
-            Documents: {self._built_object[:3]}..."""
-        return f"{self.vertex_type}()"
-
-
-class EmbeddingVertex(Vertex):
-    def __init__(self, data: Dict, graph, params: Optional[Dict] = None):
-        super().__init__(data, graph=graph, base_type="embeddings", params=params)
-
-
-class VectorStoreVertex(Vertex):
-    def __init__(self, data: Dict, graph, params=None):
-        super().__init__(data, graph=graph, base_type="vectorstores")
-
-        self.params = params or {}
-
-    # VectorStores may contain databse connections
-    # so we need to define the __reduce__ method and the __setstate__ method
-    # to avoid pickling errors
-
-    def remove_docs_and_texts_from_params(self):
-        # remove documents and texts from params
-        # so that we don't try to pickle a database connection
-        self.params.pop("documents", None)
-        self.params.pop("texts", None)
-
-    # def __getstate__(self):
-    #     # We want to save the params attribute
-    #     # and if "documents" or "texts" are in the params
-    #     # we want to remove them because they have already
-    #     # been processed.
-    #     params = self.params.copy()
-    #     params.pop("documents", None)
-    #     params.pop("texts", None)
-
-    #     return super().__getstate__()
-
-    def __setstate__(self, state):
-        super().__setstate__(state)
-        self.remove_docs_and_texts_from_params()
-
-
-class MemoryVertex(Vertex):
-    def __init__(self, data: Dict, graph):
-        super().__init__(data, graph=graph, base_type="memory")
-
-
-class RetrieverVertex(Vertex):
-    def __init__(self, data: Dict, graph):
-        super().__init__(data, graph=graph, base_type="retrievers")
-
-
-class TextSplitterVertex(Vertex):
-    def __init__(self, data: Dict, graph, params: Optional[Dict] = None):
-        super().__init__(data, graph=graph, base_type="textsplitters", params=params)
-
-    def _built_object_repr(self):
-        # This built_object is a list of documents. Maybe we should
-        # show how many documents are in the list?
-
-        if self._built_object and not isinstance(self._built_object, UnbuiltObject):
-            avg_length = sum(len(doc.page_content) for doc in self._built_object) / len(self._built_object)
-            return f"""{self.vertex_type}({len(self._built_object)} documents)
-            \nAvg. Document Length (characters): {int(avg_length)}
-            \nDocuments: {self._built_object[:3]}..."""
-        return f"{self.vertex_type}()"
-
-
-class ChainVertex(Vertex):
-    def __init__(self, data: Dict, graph):
-        super().__init__(data, graph=graph, base_type="chains")
-
-    async def build(
-        self,
-        force: bool = False,
-        user_id=None,
-        *args,
-        **kwargs,
-    ) -> Any:
-        if not self._built or force:
-            # Temporarily remove the code from the params
-            self.params.pop("code", None)
-            # Check if the chain requires a PromptVertex
-
-            # Temporarily remove "code" from the params
-            self.params.pop("code", None)
-
-            for key, value in self.params.items():
-                if isinstance(value, PromptVertex):
-                    # Build the PromptVertex, passing the tools if available
-                    tools = kwargs.get("tools", None)
-                    self.params[key] = await value.build(tools=tools, force=force)
-
-            await self._build(user_id=user_id)
-
-        return self._built_object
-
-
-class PromptVertex(Vertex):
-    def __init__(self, data: Dict, graph):
-        super().__init__(data, graph=graph, base_type="prompts")
-
-    async def build(
-        self,
-        force: bool = False,
-        user_id=None,
-        tools: Optional[List[Union[ToolkitVertex, ToolVertex]]] = None,
-        *args,
-        **kwargs,
-    ) -> Any:
-        if not self._built or force:
-            if "input_variables" not in self.params or self.params["input_variables"] is None:
-                self.params["input_variables"] = []
-            # Check if it is a ZeroShotPrompt and needs a tool
-            if "ShotPrompt" in self.vertex_type:
-                tools = [await tool_node.build(user_id=user_id) for tool_node in tools] if tools is not None else []
-                # flatten the list of tools if it is a list of lists
-                # first check if it is a list
-                if tools and isinstance(tools, list) and isinstance(tools[0], list):
-                    tools = flatten_list(tools)
-                self.params["tools"] = tools
-                prompt_params = [
-                    key for key, value in self.params.items() if isinstance(value, str) and key != "format_instructions"
-                ]
-            else:
-                prompt_params = ["template"]
-
-            if "prompt" not in self.params and "messages" not in self.params:
-                for param in prompt_params:
-                    prompt_text = self.params[param]
-                    variables = extract_input_variables_from_prompt(prompt_text)
-                    self.params["input_variables"].extend(variables)
-                self.params["input_variables"] = list(set(self.params["input_variables"]))
-            elif isinstance(self.params, dict):
-                self.params.pop("input_variables", None)
-
-            await self._build(user_id=user_id)
-        return self._built_object
-
-    def _built_object_repr(self):
-        if not self.artifacts or self._built_object is None or not hasattr(self._built_object, "format"):
-            return super()._built_object_repr()
-        # We'll build the prompt with the artifacts
-        # to show the user what the prompt looks like
-        # with the variables filled in
-        artifacts = self.artifacts.copy()
-        # Remove the handle_keys from the artifacts
-        # so the prompt format doesn't break
-        artifacts.pop("handle_keys", None)
-        try:
-            if (
-                not hasattr(self._built_object, "template")
-                and hasattr(self._built_object, "prompt")
-                and not isinstance(self._built_object, UnbuiltObject)
-            ):
-                template = self._built_object.prompt.template
-            elif not isinstance(self._built_object, UnbuiltObject) and hasattr(self._built_object, "template"):
-                template = self._built_object.template
-            for key, value in artifacts.items():
-                if value:
-                    replace_key = "{" + key + "}"
-                    template = template.replace(replace_key, value)
-            return template if isinstance(template, str) else f"{self.vertex_type}({template})"
-        except KeyError:
-            return str(self._built_object)
-
-
-class OutputParserVertex(Vertex):
-    def __init__(self, data: Dict, graph):
-        super().__init__(data, graph=graph, base_type="output_parsers")
-
-
-class CustomComponentVertex(Vertex):
-    def __init__(self, data: Dict, graph):
-        super().__init__(data, graph=graph, base_type="custom_components", is_task=False)
-
-    def _built_object_repr(self):
-        if self.task_id and self.is_task:
-            if task := self.get_task():
-                return str(task.info)
-            else:
-                return f"Task {self.task_id} is not running"
-        if self.artifacts and "repr" in self.artifacts:
-            return self.artifacts["repr"] or super()._built_object_repr()
diff --git a/src/backend/langflow/graph/vertex/utils.py b/src/backend/langflow/graph/vertex/utils.py
deleted file mode 100644
index e1d439f4b69..00000000000
--- a/src/backend/langflow/graph/vertex/utils.py
+++ /dev/null
@@ -1,5 +0,0 @@
-from langflow.utils.constants import PYTHON_BASIC_TYPES
-
-
-def is_basic_type(obj):
-    return type(obj) in PYTHON_BASIC_TYPES
diff --git a/src/backend/langflow/interface/agents/__init__.py b/src/backend/langflow/interface/agents/__init__.py
deleted file mode 100644
index df15bc39ba1..00000000000
--- a/src/backend/langflow/interface/agents/__init__.py
+++ /dev/null
@@ -1,3 +0,0 @@
-from langflow.interface.agents.base import AgentCreator
-
-__all__ = ["AgentCreator"]
diff --git a/src/backend/langflow/interface/agents/base.py b/src/backend/langflow/interface/agents/base.py
deleted file mode 100644
index 9c0210b2714..00000000000
--- a/src/backend/langflow/interface/agents/base.py
+++ /dev/null
@@ -1,63 +0,0 @@
-from typing import ClassVar, Dict, List, Optional
-
-from langchain.agents import types
-
-from langflow.custom.customs import get_custom_nodes
-from langflow.interface.agents.custom import CUSTOM_AGENTS
-from langflow.interface.base import LangChainTypeCreator
-from langflow.services.deps import get_settings_service
-
-from langflow.template.frontend_node.agents import AgentFrontendNode
-from loguru import logger
-from langflow.utils.util import build_template_from_class, build_template_from_method
-
-
-class AgentCreator(LangChainTypeCreator):
-    type_name: str = "agents"
-
-    from_method_nodes: ClassVar[Dict] = {"ZeroShotAgent": "from_llm_and_tools"}
-
-    @property
-    def frontend_node_class(self) -> type[AgentFrontendNode]:
-        return AgentFrontendNode
-
-    @property
-    def type_to_loader_dict(self) -> Dict:
-        if self.type_dict is None:
-            self.type_dict = types.AGENT_TO_CLASS
-            # Add JsonAgent to the list of agents
-            for name, agent in CUSTOM_AGENTS.items():
-                # TODO: validate AgentType
-                self.type_dict[name] = agent  # type: ignore
-        return self.type_dict
-
-    def get_signature(self, name: str) -> Optional[Dict]:
-        try:
-            if name in get_custom_nodes(self.type_name).keys():
-                return get_custom_nodes(self.type_name)[name]
-            elif name in self.from_method_nodes:
-                return build_template_from_method(
-                    name,
-                    type_to_cls_dict=self.type_to_loader_dict,
-                    add_function=True,
-                    method_name=self.from_method_nodes[name],
-                )
-            return build_template_from_class(name, self.type_to_loader_dict, add_function=True)
-        except ValueError as exc:
-            raise ValueError("Agent not found") from exc
-        except AttributeError as exc:
-            logger.error(f"Agent {name} not loaded: {exc}")
-            return None
-
-    # Now this is a generator
-    def to_list(self) -> List[str]:
-        names = []
-        settings_service = get_settings_service()
-        for _, agent in self.type_to_loader_dict.items():
-            agent_name = agent.function_name() if hasattr(agent, "function_name") else agent.__name__
-            if agent_name in settings_service.settings.AGENTS or settings_service.settings.DEV:
-                names.append(agent_name)
-        return names
-
-
-agent_creator = AgentCreator()
diff --git a/src/backend/langflow/interface/agents/custom.py b/src/backend/langflow/interface/agents/custom.py
deleted file mode 100644
index 608a98a9be7..00000000000
--- a/src/backend/langflow/interface/agents/custom.py
+++ /dev/null
@@ -1,273 +0,0 @@
-from typing import Any, Optional
-
-from langchain.agents import AgentExecutor, ZeroShotAgent
-from langchain.agents.agent_toolkits import (
-    VectorStoreInfo,
-    VectorStoreRouterToolkit,
-    VectorStoreToolkit,
-)
-from langchain.agents.agent_toolkits.vectorstore.prompt import PREFIX as VECTORSTORE_PREFIX
-from langchain.agents.agent_toolkits.vectorstore.prompt import ROUTER_PREFIX as VECTORSTORE_ROUTER_PREFIX
-from langchain.agents.mrkl.prompt import FORMAT_INSTRUCTIONS
-from langchain.base_language import BaseLanguageModel
-from langchain.chains.llm import LLMChain
-from langchain.sql_database import SQLDatabase
-from langchain.tools.sql_database.prompt import QUERY_CHECKER
-from langchain_community.agent_toolkits import SQLDatabaseToolkit
-from langchain_community.agent_toolkits.json.prompt import JSON_PREFIX, JSON_SUFFIX
-from langchain_community.agent_toolkits.json.toolkit import JsonToolkit
-from langchain_community.agent_toolkits.sql.prompt import SQL_PREFIX, SQL_SUFFIX
-from langchain_experimental.agents.agent_toolkits.pandas.prompt import PREFIX as PANDAS_PREFIX
-from langchain_experimental.agents.agent_toolkits.pandas.prompt import SUFFIX_WITH_DF as PANDAS_SUFFIX
-from langchain_experimental.tools.python.tool import PythonAstREPLTool
-
-from langflow.interface.base import CustomAgentExecutor
-
-
-class JsonAgent(CustomAgentExecutor):
-    """Json agent"""
-
-    @staticmethod
-    def function_name():
-        return "JsonAgent"
-
-    @classmethod
-    def initialize(cls, *args, **kwargs):
-        return cls.from_toolkit_and_llm(*args, **kwargs)
-
-    def __init__(self, *args, **kwargs):
-        super().__init__(*args, **kwargs)
-
-    @classmethod
-    def from_toolkit_and_llm(cls, toolkit: JsonToolkit, llm: BaseLanguageModel):
-        tools = toolkit if isinstance(toolkit, list) else toolkit.get_tools()
-        tool_names = list({tool.name for tool in tools})
-        prompt = ZeroShotAgent.create_prompt(
-            tools,
-            prefix=JSON_PREFIX,
-            suffix=JSON_SUFFIX,
-            format_instructions=FORMAT_INSTRUCTIONS,
-            input_variables=None,
-        )
-        llm_chain = LLMChain(
-            llm=llm,
-            prompt=prompt,
-        )
-        agent = ZeroShotAgent(
-            llm_chain=llm_chain,
-            allowed_tools=tool_names,  # type: ignore
-        )
-        return cls.from_agent_and_tools(agent=agent, tools=tools, verbose=True)
-
-    def run(self, *args, **kwargs):
-        return super().run(*args, **kwargs)
-
-
-class CSVAgent(CustomAgentExecutor):
-    """CSV agent"""
-
-    @staticmethod
-    def function_name():
-        return "CSVAgent"
-
-    @classmethod
-    def initialize(cls, *args, **kwargs):
-        return cls.from_toolkit_and_llm(*args, **kwargs)
-
-    def __init__(self, *args, **kwargs):
-        super().__init__(*args, **kwargs)
-
-    @classmethod
-    def from_toolkit_and_llm(
-        cls, path: str, llm: BaseLanguageModel, pandas_kwargs: Optional[dict] = None, **kwargs: Any
-    ):
-        import pandas as pd  # type: ignore
-
-        _kwargs = pandas_kwargs or {}
-        df = pd.read_csv(path, **_kwargs)
-
-        tools = [PythonAstREPLTool(locals={"df": df})]  # type: ignore
-        prompt = ZeroShotAgent.create_prompt(
-            tools,
-            prefix=PANDAS_PREFIX,
-            suffix=PANDAS_SUFFIX,
-            input_variables=["df_head", "input", "agent_scratchpad"],
-        )
-        partial_prompt = prompt.partial(df_head=str(df.head()))
-        llm_chain = LLMChain(
-            llm=llm,
-            prompt=partial_prompt,
-        )
-        tool_names = list({tool.name for tool in tools})
-        agent = ZeroShotAgent(
-            llm_chain=llm_chain,
-            allowed_tools=tool_names,
-            **kwargs,  # type: ignore
-        )
-
-        return cls.from_agent_and_tools(agent=agent, tools=tools, verbose=True)
-
-    def run(self, *args, **kwargs):
-        return super().run(*args, **kwargs)
-
-
-class VectorStoreAgent(CustomAgentExecutor):
-    """Vector store agent"""
-
-    @staticmethod
-    def function_name():
-        return "VectorStoreAgent"
-
-    @classmethod
-    def initialize(cls, *args, **kwargs):
-        return cls.from_toolkit_and_llm(*args, **kwargs)
-
-    def __init__(self, *args, **kwargs):
-        super().__init__(*args, **kwargs)
-
-    @classmethod
-    def from_toolkit_and_llm(cls, llm: BaseLanguageModel, vectorstoreinfo: VectorStoreInfo, **kwargs: Any):
-        """Construct a vectorstore agent from an LLM and tools."""
-
-        toolkit = VectorStoreToolkit(vectorstore_info=vectorstoreinfo, llm=llm)
-
-        tools = toolkit.get_tools()
-        prompt = ZeroShotAgent.create_prompt(tools, prefix=VECTORSTORE_PREFIX)
-        llm_chain = LLMChain(
-            llm=llm,
-            prompt=prompt,
-        )
-        tool_names = list({tool.name for tool in tools})
-        agent = ZeroShotAgent(
-            llm_chain=llm_chain,
-            allowed_tools=tool_names,
-            **kwargs,  # type: ignore
-        )
-        return AgentExecutor.from_agent_and_tools(agent=agent, tools=tools, verbose=True, handle_parsing_errors=True)
-
-    def run(self, *args, **kwargs):
-        return super().run(*args, **kwargs)
-
-
-class SQLAgent(CustomAgentExecutor):
-    """SQL agent"""
-
-    @staticmethod
-    def function_name():
-        return "SQLAgent"
-
-    @classmethod
-    def initialize(cls, *args, **kwargs):
-        return cls.from_toolkit_and_llm(*args, **kwargs)
-
-    def __init__(self, *args, **kwargs):
-        super().__init__(*args, **kwargs)
-
-    @classmethod
-    def from_toolkit_and_llm(cls, llm: BaseLanguageModel, database_uri: str, **kwargs: Any):
-        """Construct an SQL agent from an LLM and tools."""
-        db = SQLDatabase.from_uri(database_uri)
-        toolkit = SQLDatabaseToolkit(db=db, llm=llm)
-
-        # The right code should be this, but there is a problem with tools = toolkit.get_tools()
-        # related to `OPENAI_API_KEY`
-        # return create_sql_agent(llm=llm, toolkit=toolkit, verbose=True)
-        from langchain.prompts import PromptTemplate
-        from langchain.tools.sql_database.tool import (
-            InfoSQLDatabaseTool,
-            ListSQLDatabaseTool,
-            QuerySQLCheckerTool,
-            QuerySQLDataBaseTool,
-        )
-
-        llmchain = LLMChain(
-            llm=llm,
-            prompt=PromptTemplate(template=QUERY_CHECKER, input_variables=["query", "dialect"]),
-        )
-
-        tools = [
-            QuerySQLDataBaseTool(db=db),  # type: ignore
-            InfoSQLDatabaseTool(db=db),  # type: ignore
-            ListSQLDatabaseTool(db=db),  # type: ignore
-            QuerySQLCheckerTool(db=db, llm_chain=llmchain, llm=llm),  # type: ignore
-        ]
-
-        prefix = SQL_PREFIX.format(dialect=toolkit.dialect, top_k=10)
-        prompt = ZeroShotAgent.create_prompt(
-            tools=tools,  # type: ignore
-            prefix=prefix,
-            suffix=SQL_SUFFIX,
-            format_instructions=FORMAT_INSTRUCTIONS,
-        )
-        llm_chain = LLMChain(
-            llm=llm,
-            prompt=prompt,
-        )
-        tool_names = list({tool.name for tool in tools})  # type: ignore
-        agent = ZeroShotAgent(
-            llm_chain=llm_chain,
-            allowed_tools=tool_names,
-            **kwargs,  # type: ignore
-        )
-        return AgentExecutor.from_agent_and_tools(
-            agent=agent,
-            tools=tools,  # type: ignore
-            verbose=True,
-            max_iterations=15,
-            early_stopping_method="force",
-            handle_parsing_errors=True,
-        )
-
-    def run(self, *args, **kwargs):
-        return super().run(*args, **kwargs)
-
-
-class VectorStoreRouterAgent(CustomAgentExecutor):
-    """Vector Store Router Agent"""
-
-    @staticmethod
-    def function_name():
-        return "VectorStoreRouterAgent"
-
-    @classmethod
-    def initialize(cls, *args, **kwargs):
-        return cls.from_toolkit_and_llm(*args, **kwargs)
-
-    def __init__(self, *args, **kwargs):
-        super().__init__(*args, **kwargs)
-
-    @classmethod
-    def from_toolkit_and_llm(
-        cls, llm: BaseLanguageModel, vectorstoreroutertoolkit: VectorStoreRouterToolkit, **kwargs: Any
-    ):
-        """Construct a vector store router agent from an LLM and tools."""
-
-        tools = (
-            vectorstoreroutertoolkit
-            if isinstance(vectorstoreroutertoolkit, list)
-            else vectorstoreroutertoolkit.get_tools()
-        )
-        prompt = ZeroShotAgent.create_prompt(tools, prefix=VECTORSTORE_ROUTER_PREFIX)
-        llm_chain = LLMChain(
-            llm=llm,
-            prompt=prompt,
-        )
-        tool_names = list({tool.name for tool in tools})
-        agent = ZeroShotAgent(
-            llm_chain=llm_chain,
-            allowed_tools=tool_names,
-            **kwargs,  # type: ignore
-        )
-        return AgentExecutor.from_agent_and_tools(agent=agent, tools=tools, verbose=True, handle_parsing_errors=True)
-
-    def run(self, *args, **kwargs):
-        return super().run(*args, **kwargs)
-
-
-CUSTOM_AGENTS = {
-    "JsonAgent": JsonAgent,
-    "CSVAgent": CSVAgent,
-    "VectorStoreAgent": VectorStoreAgent,
-    "VectorStoreRouterAgent": VectorStoreRouterAgent,
-    "SQLAgent": SQLAgent,
-}
diff --git a/src/backend/langflow/interface/agents/prebuilt.py b/src/backend/langflow/interface/agents/prebuilt.py
deleted file mode 100644
index ec4799a81bd..00000000000
--- a/src/backend/langflow/interface/agents/prebuilt.py
+++ /dev/null
@@ -1,45 +0,0 @@
-from langchain.chains.llm import LLMChain
-from langchain.agents import AgentExecutor, ZeroShotAgent
-from langchain.agents.agent_toolkits.json.prompt import JSON_PREFIX, JSON_SUFFIX
-from langchain.agents.agent_toolkits.json.toolkit import JsonToolkit
-from langchain.agents.mrkl.prompt import FORMAT_INSTRUCTIONS
-from langchain.base_language import BaseLanguageModel
-
-
-class MalfoyAgent(AgentExecutor):
-    """Json agent"""
-
-    prefix = "Malfoy: "
-
-    @classmethod
-    def initialize(cls, *args, **kwargs):
-        return cls.from_toolkit_and_llm(*args, **kwargs)
-
-    def __init__(self, *args, **kwargs):
-        super().__init__(*args, **kwargs)
-
-    @classmethod
-    def from_toolkit_and_llm(cls, toolkit: JsonToolkit, llm: BaseLanguageModel):
-        tools = toolkit.get_tools()
-        tool_names = {tool.name for tool in tools}
-        prompt = ZeroShotAgent.create_prompt(
-            tools,
-            prefix=JSON_PREFIX,
-            suffix=JSON_SUFFIX,
-            format_instructions=FORMAT_INSTRUCTIONS,
-            input_variables=None,
-        )
-        llm_chain = LLMChain(
-            llm=llm,
-            prompt=prompt,
-        )
-        agent = ZeroShotAgent(llm_chain=llm_chain, allowed_tools=tool_names)  # type: ignore
-        return cls.from_agent_and_tools(agent=agent, tools=tools, verbose=True)
-
-    def run(self, *args, **kwargs):
-        return super().run(*args, **kwargs)
-
-
-PREBUILT_AGENTS = {
-    "MalfoyAgent": MalfoyAgent,
-}
diff --git a/src/backend/langflow/interface/base.py b/src/backend/langflow/interface/base.py
deleted file mode 100644
index d535838aca3..00000000000
--- a/src/backend/langflow/interface/base.py
+++ /dev/null
@@ -1,139 +0,0 @@
-from abc import ABC, abstractmethod
-from typing import Any, Dict, List, Optional, Type, Union
-from langchain.chains.base import Chain
-from langchain.agents import AgentExecutor
-from langflow.services.deps import get_settings_service
-from pydantic import BaseModel
-
-from langflow.template.field.base import TemplateField
-from langflow.template.frontend_node.base import FrontendNode
-from langflow.template.template.base import Template
-from loguru import logger
-
-
-# Assuming necessary imports for Field, Template, and FrontendNode classes
-
-
-class LangChainTypeCreator(BaseModel, ABC):
-    type_name: str
-    type_dict: Optional[Dict] = None
-    name_docs_dict: Optional[Dict[str, str]] = None
-
-    @property
-    def frontend_node_class(self) -> Type[FrontendNode]:
-        """The class type of the FrontendNode created in frontend_node."""
-        return FrontendNode
-
-    @property
-    def docs_map(self) -> Dict[str, str]:
-        """A dict with the name of the component as key and the documentation link as value."""
-        settings_service = get_settings_service()
-        if self.name_docs_dict is None:
-            try:
-                type_settings = getattr(settings_service.settings, self.type_name.upper())
-                self.name_docs_dict = {name: value_dict["documentation"] for name, value_dict in type_settings.items()}
-            except AttributeError as exc:
-                logger.error(f"Error getting settings for {self.type_name}: {exc}")
-
-                self.name_docs_dict = {}
-        return self.name_docs_dict
-
-    @property
-    @abstractmethod
-    def type_to_loader_dict(self) -> Dict:
-        if self.type_dict is None:
-            raise NotImplementedError
-        return self.type_dict
-
-    @abstractmethod
-    def get_signature(self, name: str) -> Union[Optional[Dict[Any, Any]], FrontendNode]:
-        pass
-
-    @abstractmethod
-    def to_list(self) -> List[str]:
-        pass
-
-    def to_dict(self) -> Dict:
-        result: Dict = {self.type_name: {}}
-
-        for name in self.to_list():
-            # frontend_node.to_dict() returns a dict with the following structure:
-            # {name: {template: {fields}, description: str}}
-            # so we should update the result dict
-            node = self.frontend_node(name)
-            if node is not None:
-                node = node.to_dict()  # type: ignore
-                result[self.type_name].update(node)
-
-        return result
-
-    def frontend_node(self, name) -> Union[FrontendNode, None]:
-        signature = self.get_signature(name)
-        if signature is None:
-            logger.error(f"Node {name} not loaded")
-            return signature
-        if not isinstance(signature, FrontendNode):
-            fields = [
-                TemplateField(
-                    name=key,
-                    field_type=value["type"],
-                    required=value.get("required", False),
-                    placeholder=value.get("placeholder", ""),
-                    is_list=value.get("list", False),
-                    show=value.get("show", True),
-                    multiline=value.get("multiline", False),
-                    value=value.get("value", None),
-                    file_types=value.get("fileTypes", []),
-                    file_path=value.get("file_path", None),
-                )
-                for key, value in signature["template"].items()
-                if key != "_type"
-            ]
-            template = Template(type_name=name, fields=fields)
-            signature = self.frontend_node_class(
-                template=template,
-                description=signature.get("description", ""),
-                base_classes=signature["base_classes"],
-                name=name,
-            )
-
-        signature.add_extra_fields()
-        signature.add_extra_base_classes()
-        signature.set_documentation(self.docs_map.get(name, ""))
-        return signature
-
-
-class CustomChain(Chain, ABC):
-    """Custom chain"""
-
-    @staticmethod
-    def function_name():
-        return "CustomChain"
-
-    @classmethod
-    def initialize(cls, *args, **kwargs):
-        pass
-
-    def __init__(self, *args, **kwargs):
-        super().__init__(*args, **kwargs)
-
-    def run(self, *args, **kwargs):
-        return super().run(*args, **kwargs)
-
-
-class CustomAgentExecutor(AgentExecutor, ABC):
-    """Custom chain"""
-
-    @staticmethod
-    def function_name():
-        return "CustomChain"
-
-    @classmethod
-    def initialize(cls, *args, **kwargs):
-        pass
-
-    def __init__(self, *args, **kwargs):
-        super().__init__(*args, **kwargs)
-
-    def run(self, *args, **kwargs):
-        return super().run(*args, **kwargs)
diff --git a/src/backend/langflow/interface/chains/__init__.py b/src/backend/langflow/interface/chains/__init__.py
deleted file mode 100644
index 2e5570b3c28..00000000000
--- a/src/backend/langflow/interface/chains/__init__.py
+++ /dev/null
@@ -1,3 +0,0 @@
-from langflow.interface.chains.base import ChainCreator
-
-__all__ = ["ChainCreator"]
diff --git a/src/backend/langflow/interface/chains/base.py b/src/backend/langflow/interface/chains/base.py
deleted file mode 100644
index 8017902bd95..00000000000
--- a/src/backend/langflow/interface/chains/base.py
+++ /dev/null
@@ -1,77 +0,0 @@
-from typing import Any, ClassVar, Dict, List, Optional, Type
-
-from langflow.custom.customs import get_custom_nodes
-from langflow.interface.base import LangChainTypeCreator
-from langflow.interface.importing.utils import import_class
-from langflow.services.deps import get_settings_service
-
-from langflow.template.frontend_node.chains import ChainFrontendNode
-from loguru import logger
-from langflow.utils.util import build_template_from_class, build_template_from_method
-from langchain import chains
-from langchain_experimental.sql import SQLDatabaseChain
-
-# Assuming necessary imports for Field, Template, and FrontendNode classes
-
-
-class ChainCreator(LangChainTypeCreator):
-    type_name: str = "chains"
-
-    @property
-    def frontend_node_class(self) -> Type[ChainFrontendNode]:
-        return ChainFrontendNode
-
-    #! We need to find a better solution for this
-    from_method_nodes: ClassVar[Dict] = {
-        "ConversationalRetrievalChain": "from_llm",
-        "LLMCheckerChain": "from_llm",
-        "SQLDatabaseChain": "from_llm",
-    }
-
-    @property
-    def type_to_loader_dict(self) -> Dict:
-        if self.type_dict is None:
-            settings_service = get_settings_service()
-            self.type_dict: dict[str, Any] = {
-                chain_name: import_class(f"langchain.chains.{chain_name}") for chain_name in chains.__all__
-            }
-            from langflow.interface.chains.custom import CUSTOM_CHAINS
-
-            self.type_dict["SQLDatabaseChain"] = SQLDatabaseChain
-
-            self.type_dict.update(CUSTOM_CHAINS)
-            # Filter according to settings.chains
-            self.type_dict = {
-                name: chain
-                for name, chain in self.type_dict.items()
-                if name in settings_service.settings.CHAINS or settings_service.settings.DEV
-            }
-        return self.type_dict
-
-    def get_signature(self, name: str) -> Optional[Dict]:
-        try:
-            if name in get_custom_nodes(self.type_name).keys():
-                return get_custom_nodes(self.type_name)[name]
-            elif name in self.from_method_nodes.keys():
-                return build_template_from_method(
-                    name,
-                    type_to_cls_dict=self.type_to_loader_dict,
-                    method_name=self.from_method_nodes[name],
-                    add_function=True,
-                )
-            return build_template_from_class(name, self.type_to_loader_dict, add_function=True)
-        except ValueError as exc:
-            raise ValueError(f"Chain {name} not found: {exc}") from exc
-        except AttributeError as exc:
-            logger.error(f"Chain {name} not loaded: {exc}")
-            return None
-
-    def to_list(self) -> List[str]:
-        names = []
-        for _, chain in self.type_to_loader_dict.items():
-            chain_name = chain.function_name() if hasattr(chain, "function_name") else chain.__name__
-            names.append(chain_name)
-        return names
-
-
-chain_creator = ChainCreator()
diff --git a/src/backend/langflow/interface/chains/custom.py b/src/backend/langflow/interface/chains/custom.py
deleted file mode 100644
index 27ed646b247..00000000000
--- a/src/backend/langflow/interface/chains/custom.py
+++ /dev/null
@@ -1,118 +0,0 @@
-from typing import Dict, Optional, Type, Union
-
-from langchain.chains import ConversationChain
-from langchain.memory.buffer import ConversationBufferMemory
-from langchain.schema import BaseMemory
-from langflow.interface.base import CustomChain
-from pydantic.v1 import Field, root_validator
-from langchain.chains.question_answering import load_qa_chain
-from langflow.interface.utils import extract_input_variables_from_prompt
-from langchain.base_language import BaseLanguageModel
-
-DEFAULT_SUFFIX = """"
-Current conversation:
-{history}
-Human: {input}
-{ai_prefix}"""
-
-
-class BaseCustomConversationChain(ConversationChain):
-    """BaseCustomChain is a chain you can use to have a conversation with a custom character."""
-
-    template: Optional[str]
-
-    ai_prefix_value: Optional[str]
-    """Field to use as the ai_prefix. It needs to be set and has to be in the template"""
-
-    @root_validator(pre=False)
-    def build_template(cls, values):
-        format_dict = {}
-        input_variables = extract_input_variables_from_prompt(values["template"])
-
-        if values.get("ai_prefix_value", None) is None:
-            values["ai_prefix_value"] = values["memory"].ai_prefix
-
-        for key in input_variables:
-            new_value = values.get(key, f"{{{key}}}")
-            format_dict[key] = new_value
-            if key == values.get("ai_prefix_value", None):
-                values["memory"].ai_prefix = new_value
-
-        values["template"] = values["template"].format(**format_dict)
-
-        values["template"] = values["template"]
-        values["input_variables"] = extract_input_variables_from_prompt(values["template"])
-        values["prompt"].template = values["template"]
-        values["prompt"].input_variables = values["input_variables"]
-        return values
-
-
-class SeriesCharacterChain(BaseCustomConversationChain):
-    """SeriesCharacterChain is a chain you can use to have a conversation with a character from a series."""
-
-    character: str
-    series: str
-    template: Optional[str] = """I want you to act like {character} from {series}.
-I want you to respond and answer like {character}. do not write any explanations. only answer like {character}.
-You must know all of the knowledge of {character}.
-Current conversation:
-{history}
-Human: {input}
-{character}:"""
-    memory: BaseMemory = Field(default_factory=ConversationBufferMemory)
-    ai_prefix_value: Optional[str] = "character"
-    """Default memory store."""
-
-
-class MidJourneyPromptChain(BaseCustomConversationChain):
-    """MidJourneyPromptChain is a chain you can use to generate new MidJourney prompts."""
-
-    template: Optional[
-        str
-    ] = """I want you to act as a prompt generator for Midjourney's artificial intelligence program.
-    Your job is to provide detailed and creative descriptions that will inspire unique and interesting images from the AI.
-    Keep in mind that the AI is capable of understanding a wide range of language and can interpret abstract concepts, so feel free to be as imaginative and descriptive as possible.
-    For example, you could describe a scene from a futuristic city, or a surreal landscape filled with strange creatures.
-    The more detailed and imaginative your description, the more interesting the resulting image will be. Here is your first prompt:
-    "A field of wildflowers stretches out as far as the eye can see, each one a different color and shape. In the distance, a massive tree towers over the landscape, its branches reaching up to the sky like tentacles.\"
-
-    Current conversation:
-    {history}
-    Human: {input}
-    AI:"""  # noqa: E501
-
-
-class TimeTravelGuideChain(BaseCustomConversationChain):
-    template: Optional[
-        str
-    ] = """I want you to act as my time travel guide. You are helpful and creative. I will provide you with the historical period or future time I want to visit and you will suggest the best events, sights, or people to experience. Provide the suggestions and any necessary information.
-    Current conversation:
-    {history}
-    Human: {input}
-    AI:"""  # noqa: E501
-
-
-class CombineDocsChain(CustomChain):
-    """Implementation of load_qa_chain function"""
-
-    @staticmethod
-    def function_name():
-        return "load_qa_chain"
-
-    @classmethod
-    def initialize(cls, llm: BaseLanguageModel, chain_type: str):
-        return load_qa_chain(llm=llm, chain_type=chain_type)
-
-    def __init__(self, *args, **kwargs):
-        super().__init__(*args, **kwargs)
-
-    def run(self, *args, **kwargs):
-        return super().run(*args, **kwargs)
-
-
-CUSTOM_CHAINS: Dict[str, Type[Union[ConversationChain, CustomChain]]] = {
-    "CombineDocsChain": CombineDocsChain,
-    "SeriesCharacterChain": SeriesCharacterChain,
-    "MidJourneyPromptChain": MidJourneyPromptChain,
-    "TimeTravelGuideChain": TimeTravelGuideChain,
-}
diff --git a/src/backend/langflow/interface/custom/__init__.py b/src/backend/langflow/interface/custom/__init__.py
deleted file mode 100644
index 5b87e9fa3a8..00000000000
--- a/src/backend/langflow/interface/custom/__init__.py
+++ /dev/null
@@ -1,4 +0,0 @@
-from langflow.interface.custom.base import CustomComponentCreator
-from langflow.interface.custom.custom_component import CustomComponent
-
-__all__ = ["CustomComponentCreator", "CustomComponent"]
diff --git a/src/backend/langflow/interface/custom/base.py b/src/backend/langflow/interface/custom/base.py
deleted file mode 100644
index 45a3ea215f7..00000000000
--- a/src/backend/langflow/interface/custom/base.py
+++ /dev/null
@@ -1,48 +0,0 @@
-from typing import Any, Dict, List, Optional, Type
-
-
-from langflow.interface.base import LangChainTypeCreator
-
-# from langflow.interface.custom.custom import CustomComponent
-from langflow.interface.custom.custom_component import CustomComponent
-from langflow.template.frontend_node.custom_components import (
-    CustomComponentFrontendNode,
-)
-from loguru import logger
-
-# Assuming necessary imports for Field, Template, and FrontendNode classes
-
-
-class CustomComponentCreator(LangChainTypeCreator):
-    type_name: str = "custom_components"
-
-    @property
-    def frontend_node_class(self) -> Type[CustomComponentFrontendNode]:
-        return CustomComponentFrontendNode
-
-    @property
-    def type_to_loader_dict(self) -> Dict:
-        if self.type_dict is None:
-            self.type_dict: dict[str, Any] = {
-                "CustomComponent": CustomComponent,
-            }
-        return self.type_dict
-
-    def get_signature(self, name: str) -> Optional[Dict]:
-        from langflow.custom.customs import get_custom_nodes
-
-        try:
-            if name in get_custom_nodes(self.type_name).keys():
-                return get_custom_nodes(self.type_name)[name]
-        except ValueError as exc:
-            raise ValueError(f"CustomComponent {name} not found: {exc}") from exc
-        except AttributeError as exc:
-            logger.error(f"CustomComponent {name} not loaded: {exc}")
-            return None
-        return None
-
-    def to_list(self) -> List[str]:
-        return list(self.type_to_loader_dict.keys())
-
-
-custom_component_creator = CustomComponentCreator()
diff --git a/src/backend/langflow/interface/custom/code_parser/utils.py b/src/backend/langflow/interface/custom/code_parser/utils.py
deleted file mode 100644
index d9b9def2609..00000000000
--- a/src/backend/langflow/interface/custom/code_parser/utils.py
+++ /dev/null
@@ -1,39 +0,0 @@
-import re
-from types import GenericAlias
-from typing import Any
-
-
-def extract_inner_type(return_type: str) -> str:
-    """
-    Extracts the inner type from a type hint that is a list.
-    """
-    if match := re.match(r"list\[(.*)\]", return_type, re.IGNORECASE):
-        return match[1]
-    return return_type
-
-
-def extract_inner_type_from_generic_alias(return_type: GenericAlias) -> Any:
-    """
-    Extracts the inner type from a type hint that is a list.
-    """
-    if return_type.__origin__ == list:
-        return list(return_type.__args__)
-
-    return return_type
-
-
-def extract_union_types(return_type: str) -> list[str]:
-    """
-    Extracts the inner type from a type hint that is a list.
-    """
-    # If the return type is a Union, then we need to parse it
-    return_type = return_type.replace("Union", "").replace("[", "").replace("]", "")
-    return_types = return_type.split(",")
-    return [item.strip() for item in return_types]
-
-
-def extract_union_types_from_generic_alias(return_type: GenericAlias) -> list:
-    """
-    Extracts the inner type from a type hint that is a Union.
-    """
-    return list(return_type.__args__)
diff --git a/src/backend/langflow/interface/custom/custom_component/component.py b/src/backend/langflow/interface/custom/custom_component/component.py
deleted file mode 100644
index 9053dcb0f98..00000000000
--- a/src/backend/langflow/interface/custom/custom_component/component.py
+++ /dev/null
@@ -1,109 +0,0 @@
-import ast
-import operator
-import warnings
-from typing import Any, ClassVar, Optional
-
-import emoji
-from cachetools import TTLCache, cachedmethod
-from fastapi import HTTPException
-
-from langflow.interface.custom.code_parser import CodeParser
-from langflow.utils import validate
-
-
-class ComponentCodeNullError(HTTPException):
-    pass
-
-
-class ComponentFunctionEntrypointNameNullError(HTTPException):
-    pass
-
-
-class Component:
-    ERROR_CODE_NULL: ClassVar[str] = "Python code must be provided."
-    ERROR_FUNCTION_ENTRYPOINT_NAME_NULL: ClassVar[str] = "The name of the entrypoint function must be provided."
-
-    code: Optional[str] = None
-    _function_entrypoint_name: str = "build"
-    field_config: dict = {}
-    _user_id: Optional[str]
-
-    def __init__(self, **data):
-        self.cache = TTLCache(maxsize=1024, ttl=60)
-        for key, value in data.items():
-            if key == "user_id":
-                setattr(self, "_user_id", value)
-            else:
-                setattr(self, key, value)
-
-        # Validate the emoji at the icon field
-        if hasattr(self, "icon") and self.icon:
-            self.icon = self.validate_icon(self.icon)
-
-    def __setattr__(self, key, value):
-        if key == "_user_id" and hasattr(self, "_user_id"):
-            warnings.warn("user_id is immutable and cannot be changed.")
-        super().__setattr__(key, value)
-
-    @cachedmethod(cache=operator.attrgetter("cache"))
-    def get_code_tree(self, code: str):
-        parser = CodeParser(code)
-        return parser.parse_code()
-
-    def get_function(self):
-        if not self.code:
-            raise ComponentCodeNullError(
-                status_code=400,
-                detail={"error": self.ERROR_CODE_NULL, "traceback": ""},
-            )
-
-        if not self._function_entrypoint_name:
-            raise ComponentFunctionEntrypointNameNullError(
-                status_code=400,
-                detail={
-                    "error": self.ERROR_FUNCTION_ENTRYPOINT_NAME_NULL,
-                    "traceback": "",
-                },
-            )
-
-        return validate.create_function(self.code, self._function_entrypoint_name)
-
-    def build_template_config(self, attributes) -> dict:
-        template_config = {}
-
-        for item in attributes:
-            item_name = item.get("name")
-
-            if item_value := item.get("value"):
-                if "display_name" in item_name:
-                    template_config["display_name"] = ast.literal_eval(item_value)
-
-                elif "description" in item_name:
-                    template_config["description"] = ast.literal_eval(item_value)
-
-                elif "beta" in item_name:
-                    template_config["beta"] = ast.literal_eval(item_value)
-
-                elif "documentation" in item_name:
-                    template_config["documentation"] = ast.literal_eval(item_value)
-
-                elif "icon" in item_name:
-                    icon_str = ast.literal_eval(item_value)
-                    template_config["icon"] = self.validate_icon(icon_str)
-
-        return template_config
-
-    def validate_icon(self, value: str):
-        # we are going to use the emoji library to validate the emoji
-        # emojis can be defined using the :emoji_name: syntax
-        if not value.startswith(":") or not value.endswith(":"):
-            warnings.warn("Invalid emoji. Please use the :emoji_name: syntax.")
-            return value
-        emoji_value = emoji.emojize(value, variant="emoji_type")
-        if value == emoji_value:
-            warnings.warn(f"Invalid emoji. {value} is not a valid emoji.")
-            return value
-        return emoji_value
-
-    def build(self, *args: Any, **kwargs: Any) -> Any:
-        raise NotImplementedError
diff --git a/src/backend/langflow/interface/custom/custom_component/custom_component.py b/src/backend/langflow/interface/custom/custom_component/custom_component.py
deleted file mode 100644
index 3cc52438e6b..00000000000
--- a/src/backend/langflow/interface/custom/custom_component/custom_component.py
+++ /dev/null
@@ -1,238 +0,0 @@
-import operator
-from typing import Any, Callable, ClassVar, List, Optional, Union
-from uuid import UUID
-
-import yaml
-from cachetools import TTLCache, cachedmethod
-from fastapi import HTTPException
-from langflow.interface.custom.code_parser.utils import (
-    extract_inner_type_from_generic_alias,
-    extract_union_types_from_generic_alias,
-)
-from langflow.interface.custom.custom_component.component import Component
-from langflow.services.database.models.flow import Flow
-from langflow.services.database.utils import session_getter
-from langflow.services.deps import get_credential_service, get_db_service
-from langflow.utils import validate
-
-
-class CustomComponent(Component):
-    display_name: Optional[str] = None
-    """The display name of the component. Defaults to None."""
-    description: Optional[str] = None
-    """The description of the component. Defaults to None."""
-    icon: Optional[str] = None
-    """The icon of the component. It should be an emoji. Defaults to None."""
-    code: Optional[str] = None
-    """The code of the component. Defaults to None."""
-    field_config: dict = {}
-    """The field configuration of the component. Defaults to an empty dictionary."""
-    field_order: Optional[List[str]] = None
-    """The field order of the component. Defaults to an empty list."""
-    code_class_base_inheritance: ClassVar[str] = "CustomComponent"
-    function_entrypoint_name: ClassVar[str] = "build"
-    function: Optional[Callable] = None
-    repr_value: Optional[Any] = ""
-    user_id: Optional[Union[UUID, str]] = None
-    status: Optional[Any] = None
-    """The status of the component. This is displayed on the frontend. Defaults to None."""
-    _tree: Optional[dict] = None
-
-    def __init__(self, **data):
-        self.cache = TTLCache(maxsize=1024, ttl=60)
-        super().__init__(**data)
-
-    def _get_field_order(self):
-        return self.field_order or list(self.field_config.keys())
-
-    def custom_repr(self):
-        if self.repr_value == "":
-            self.repr_value = self.status
-        if isinstance(self.repr_value, dict):
-            return yaml.dump(self.repr_value)
-        if isinstance(self.repr_value, str):
-            return self.repr_value
-        return str(self.repr_value)
-
-    def build_config(self):
-        return self.field_config
-
-    @property
-    def tree(self):
-        return self.get_code_tree(self.code or "")
-
-    @property
-    def get_function_entrypoint_args(self) -> list:
-        build_method = self.get_build_method()
-        if not build_method:
-            return []
-
-        args = build_method["args"]
-        for arg in args:
-            if arg.get("type") == "prompt":
-                raise HTTPException(
-                    status_code=400,
-                    detail={
-                        "error": "Type hint Error",
-                        "traceback": (
-                            "Prompt type is not supported in the build method." " Try using PromptTemplate instead."
-                        ),
-                    },
-                )
-            elif not arg.get("type") and arg.get("name") != "self":
-                # Set the type to Data
-                arg["type"] = "Data"
-        return args
-
-    @cachedmethod(operator.attrgetter("cache"))
-    def get_build_method(self):
-        if not self.code:
-            return {}
-
-        component_classes = [cls for cls in self.tree["classes"] if self.code_class_base_inheritance in cls["bases"]]
-        if not component_classes:
-            return {}
-
-        # Assume the first Component class is the one we're interested in
-        component_class = component_classes[0]
-        build_methods = [
-            method for method in component_class["methods"] if method["name"] == self.function_entrypoint_name
-        ]
-
-        return build_methods[0] if build_methods else {}
-
-    @property
-    def get_function_entrypoint_return_type(self) -> List[Any]:
-        build_method = self.get_build_method()
-        if not build_method or not build_method.get("has_return"):
-            return []
-        return_type = build_method["return_type"]
-
-        # If list or List is in the return type, then we remove it and return the inner type
-        if hasattr(return_type, "__origin__") and return_type.__origin__ in [list, List]:
-            return_type = extract_inner_type_from_generic_alias(return_type)
-
-        # If the return type is not a Union, then we just return it as a list
-        if not hasattr(return_type, "__origin__") or return_type.__origin__ != Union:
-            return return_type if isinstance(return_type, list) else [return_type]
-        # If the return type is a Union, then we need to parse itx
-        return_type = extract_union_types_from_generic_alias(return_type)
-        return return_type
-
-    @property
-    def get_main_class_name(self):
-        if not self.code:
-            return ""
-
-        base_name = self.code_class_base_inheritance
-        method_name = self.function_entrypoint_name
-
-        classes = []
-        for item in self.tree.get("classes", []):
-            if base_name in item["bases"]:
-                method_names = [method["name"] for method in item["methods"]]
-                if method_name in method_names:
-                    classes.append(item["name"])
-
-        # Get just the first item
-        return next(iter(classes), "")
-
-    @property
-    def template_config(self):
-        return self.build_template_config()
-
-    def build_template_config(self):
-        if not self.code:
-            return {}
-
-        attributes = [
-            main_class["attributes"]
-            for main_class in self.tree.get("classes", [])
-            if main_class["name"] == self.get_main_class_name
-        ]
-        # Get just the first item
-        attributes = next(iter(attributes), [])
-
-        return super().build_template_config(attributes)
-
-    @property
-    def keys(self):
-        def get_credential(name: str):
-            if hasattr(self, "_user_id") and not self._user_id:
-                raise ValueError(f"User id is not set for {self.__class__.__name__}")
-            credential_service = get_credential_service()  # Get service instance
-            # Retrieve and decrypt the credential by name for the current user
-            db_service = get_db_service()
-            with session_getter(db_service) as session:
-                return credential_service.get_credential(user_id=self._user_id or "", name=name, session=session)
-
-        return get_credential
-
-    def list_key_names(self):
-        if hasattr(self, "_user_id") and not self._user_id:
-            raise ValueError(f"User id is not set for {self.__class__.__name__}")
-        credential_service = get_credential_service()
-        db_service = get_db_service()
-        with session_getter(db_service) as session:
-            return credential_service.list_credentials(user_id=self._user_id, session=session)
-
-    def index(self, value: int = 0):
-        """Returns a function that returns the value at the given index in the iterable."""
-
-        def get_index(iterable: List[Any]):
-            return iterable[value] if iterable else iterable
-
-        return get_index
-
-    @property
-    def get_function(self):
-        return validate.create_function(self.code, self.function_entrypoint_name)
-
-    async def load_flow(self, flow_id: str, tweaks: Optional[dict] = None) -> Any:
-        from langflow.processing.process import build_sorted_vertices, process_tweaks
-
-        db_service = get_db_service()
-        with session_getter(db_service) as session:
-            graph_data = flow.data if (flow := session.get(Flow, flow_id)) else None
-        if not graph_data:
-            raise ValueError(f"Flow {flow_id} not found")
-        if tweaks:
-            graph_data = process_tweaks(graph_data=graph_data, tweaks=tweaks)
-        return await build_sorted_vertices(graph_data, self.user_id)
-
-    def list_flows(self, *, get_session: Optional[Callable] = None) -> List[Flow]:
-        if not self._user_id:
-            raise ValueError("Session is invalid")
-        try:
-            get_session = get_session or session_getter
-            db_service = get_db_service()
-            with get_session(db_service) as session:
-                flows = session.query(Flow).filter(Flow.user_id == self.user_id).all()
-            return flows
-        except Exception as e:
-            raise ValueError("Session is invalid") from e
-
-    async def get_flow(
-        self,
-        *,
-        flow_name: Optional[str] = None,
-        flow_id: Optional[str] = None,
-        tweaks: Optional[dict] = None,
-        get_session: Optional[Callable] = None,
-    ) -> Flow:
-        get_session = get_session or session_getter
-        db_service = get_db_service()
-        with get_session(db_service) as session:
-            if flow_id:
-                flow = session.query(Flow).get(flow_id)
-            elif flow_name:
-                flow = (session.query(Flow).filter(Flow.name == flow_name).filter(Flow.user_id == self.user_id)).first()
-            else:
-                raise ValueError("Either flow_name or flow_id must be provided")
-
-        if not flow:
-            raise ValueError(f"Flow {flow_name or flow_id} not found")
-        return await self.load_flow(flow.id, tweaks)
-
-    def build(self, *args: Any, **kwargs: Any) -> Any:
-        raise NotImplementedError
diff --git a/src/backend/langflow/interface/custom/directory_reader/directory_reader.py b/src/backend/langflow/interface/custom/directory_reader/directory_reader.py
deleted file mode 100644
index 7bf55bec8c8..00000000000
--- a/src/backend/langflow/interface/custom/directory_reader/directory_reader.py
+++ /dev/null
@@ -1,281 +0,0 @@
-import ast
-import os
-import zlib
-
-from langflow.interface.custom.custom_component import CustomComponent
-from loguru import logger
-
-
-class CustomComponentPathValueError(ValueError):
-    pass
-
-
-class StringCompressor:
-    def __init__(self, input_string):
-        """Initialize StringCompressor with a string to compress."""
-        self.input_string = input_string
-
-    def compress_string(self):
-        """
-        Compress the initial string and return the compressed data.
-        """
-        # Convert string to bytes
-        byte_data = self.input_string.encode("utf-8")
-        # Compress the bytes
-        self.compressed_data = zlib.compress(byte_data)
-
-        return self.compressed_data
-
-    def decompress_string(self):
-        """
-        Decompress the compressed data and return the original string.
-        """
-        # Decompress the bytes
-        decompressed_data = zlib.decompress(self.compressed_data)
-        # Convert bytes back to string
-        return decompressed_data.decode("utf-8")
-
-
-class DirectoryReader:
-    # Ensure the base path to read the files that contain
-    # the custom components from this directory.
-    base_path = ""
-
-    def __init__(self, directory_path, compress_code_field=False):
-        """
-        Initialize DirectoryReader with a directory path
-        and a flag indicating whether to compress the code.
-        """
-        self.directory_path = directory_path
-        self.compress_code_field = compress_code_field
-
-    def get_safe_path(self):
-        """Check if the path is valid and return it, or None if it's not."""
-        return self.directory_path if self.is_valid_path() else None
-
-    def is_valid_path(self) -> bool:
-        """Check if the directory path is valid by comparing it to the base path."""
-        fullpath = os.path.normpath(os.path.join(self.directory_path))
-        return fullpath.startswith(self.base_path)
-
-    def is_empty_file(self, file_content):
-        """
-        Check if the file content is empty.
-        """
-        return len(file_content.strip()) == 0
-
-    def filter_loaded_components(self, data: dict, with_errors: bool) -> dict:
-        from langflow.interface.custom.utils import build_component
-
-        items = []
-        for menu in data["menu"]:
-            components = []
-            for component in menu["components"]:
-                try:
-                    if component["error"] if with_errors else not component["error"]:
-                        component_tuple = (*build_component(component), component)
-                        components.append(component_tuple)
-                except Exception as e:
-                    logger.error(f"Error while loading component: {e}")
-                    continue
-            items.append({"name": menu["name"], "path": menu["path"], "components": components})
-        filtered = [menu for menu in items if menu["components"]]
-        logger.debug(f'Filtered components {"with errors" if with_errors else ""}: {len(filtered)}')
-        return {"menu": filtered}
-
-    def validate_code(self, file_content):
-        """
-        Validate the Python code by trying to parse it with ast.parse.
-        """
-        try:
-            ast.parse(file_content)
-            return True
-        except SyntaxError:
-            return False
-
-    def validate_build(self, file_content):
-        """
-        Check if the file content contains a function named 'build'.
-        """
-        return "def build" in file_content
-
-    def read_file_content(self, file_path):
-        """
-        Read and return the content of a file.
-        """
-        if not os.path.isfile(file_path):
-            return None
-        with open(file_path, "r") as file:
-            return file.read()
-
-    def get_files(self):
-        """
-        Walk through the directory path and return a list of all .py files.
-        """
-        if not (safe_path := self.get_safe_path()):
-            raise CustomComponentPathValueError(f"The path needs to start with '{self.base_path}'.")
-
-        file_list = []
-        for root, _, files in os.walk(safe_path):
-            file_list.extend(
-                os.path.join(root, filename)
-                for filename in files
-                if filename.endswith(".py") and not filename.startswith("__")
-            )
-        return file_list
-
-    def find_menu(self, response, menu_name):
-        """
-        Find and return a menu by its name in the response.
-        """
-        return next(
-            (menu for menu in response["menu"] if menu["name"] == menu_name),
-            None,
-        )
-
-    def _is_type_hint_imported(self, type_hint_name: str, code: str) -> bool:
-        """
-        Check if a specific type hint is imported
-        from the typing module in the given code.
-        """
-        module = ast.parse(code)
-
-        return any(
-            isinstance(node, ast.ImportFrom)
-            and node.module == "typing"
-            and any(alias.name == type_hint_name for alias in node.names)
-            for node in ast.walk(module)
-        )
-
-    def _is_type_hint_used_in_args(self, type_hint_name: str, code: str) -> bool:
-        """
-        Check if a specific type hint is used in the
-        function definitions within the given code.
-        """
-        try:
-            module = ast.parse(code)
-
-            for node in ast.walk(module):
-                if isinstance(node, ast.FunctionDef):
-                    for arg in node.args.args:
-                        if self._is_type_hint_in_arg_annotation(arg.annotation, type_hint_name):
-                            return True
-        except SyntaxError:
-            # Returns False if the code is not valid Python
-            return False
-        return False
-
-    def _is_type_hint_in_arg_annotation(self, annotation, type_hint_name: str) -> bool:
-        """
-        Helper function to check if a type hint exists in an annotation.
-        """
-        return (
-            annotation is not None
-            and isinstance(annotation, ast.Subscript)
-            and isinstance(annotation.value, ast.Name)
-            and annotation.value.id == type_hint_name
-        )
-
-    def is_type_hint_used_but_not_imported(self, type_hint_name: str, code: str) -> bool:
-        """
-        Check if a type hint is used but not imported in the given code.
-        """
-        try:
-            return self._is_type_hint_used_in_args(type_hint_name, code) and not self._is_type_hint_imported(
-                type_hint_name, code
-            )
-        except SyntaxError:
-            # Returns True if there's something wrong with the code
-            # TODO : Find a better way to handle this
-            return True
-
-    def process_file(self, file_path):
-        """
-        Process a file by validating its content and
-        returning the result and content/error message.
-        """
-        file_content = self.read_file_content(file_path)
-
-        if file_content is None:
-            return False, f"Could not read {file_path}"
-        elif self.is_empty_file(file_content):
-            return False, "Empty file"
-        elif not self.validate_code(file_content):
-            return False, "Syntax error"
-        elif not self.validate_build(file_content):
-            return False, "Missing build function"
-        elif self._is_type_hint_used_in_args("Optional", file_content) and not self._is_type_hint_imported(
-            "Optional", file_content
-        ):
-            return (
-                False,
-                "Type hint 'Optional' is used but not imported in the code.",
-            )
-        else:
-            if self.compress_code_field:
-                file_content = str(StringCompressor(file_content).compress_string())
-            return True, file_content
-
-    def build_component_menu_list(self, file_paths):
-        """
-        Build a list of menus with their components
-        from the .py files in the directory.
-        """
-        response = {"menu": []}
-        logger.debug("-------------------- Building component menu list --------------------")
-
-        for file_path in file_paths:
-            menu_name = os.path.basename(os.path.dirname(file_path))
-            logger.debug(f"Menu name: {menu_name}")
-            filename = os.path.basename(file_path)
-            validation_result, result_content = self.process_file(file_path)
-            logger.debug(f"Validation result: {validation_result}")
-
-            menu_result = self.find_menu(response, menu_name) or {
-                "name": menu_name,
-                "path": os.path.dirname(file_path),
-                "components": [],
-            }
-            component_name = filename.split(".")[0]
-            # This is the name of the file which will be displayed in the UI
-            # We need to change it from snake_case to CamelCase
-
-            # first check if it's already CamelCase
-            if "_" in component_name:
-                component_name_camelcase = " ".join(word.title() for word in component_name.split("_"))
-            else:
-                component_name_camelcase = component_name
-
-            if validation_result:
-                try:
-                    output_types = self.get_output_types_from_code(result_content)
-                except Exception as exc:
-                    logger.exception(f"Error while getting output types from code: {str(exc)}")
-                    output_types = [component_name_camelcase]
-            else:
-                output_types = [component_name_camelcase]
-
-            component_info = {
-                "name": "CustomComponent",
-                "output_types": output_types,
-                "file": filename,
-                "code": result_content if validation_result else "",
-                "error": "" if validation_result else result_content,
-            }
-            menu_result["components"].append(component_info)
-
-            logger.debug(f"Component info: {component_info}")
-            if menu_result not in response["menu"]:
-                response["menu"].append(menu_result)
-        logger.debug("-------------------- Component menu list built --------------------")
-        return response
-
-    @staticmethod
-    def get_output_types_from_code(code: str) -> list:
-        """
-        Get the output types from the code.
-        """
-        custom_component = CustomComponent(code=code)
-        types_list = custom_component.get_function_entrypoint_return_type
-        # Get the name of types classes
-        return [type_.__name__ for type_ in types_list if hasattr(type_, "__name__")]
diff --git a/src/backend/langflow/interface/custom/directory_reader/utils.py b/src/backend/langflow/interface/custom/directory_reader/utils.py
deleted file mode 100644
index 6f2723ba646..00000000000
--- a/src/backend/langflow/interface/custom/directory_reader/utils.py
+++ /dev/null
@@ -1,142 +0,0 @@
-from loguru import logger
-
-from langflow.interface.custom.directory_reader import DirectoryReader
-from langflow.template.frontend_node.custom_components import CustomComponentFrontendNode
-
-
-def merge_nested_dicts_with_renaming(dict1, dict2):
-    for key, value in dict2.items():
-        if key in dict1 and isinstance(value, dict) and isinstance(dict1.get(key), dict):
-            for sub_key, sub_value in value.items():
-                # if sub_key in dict1[key]:
-                #     new_key = get_new_key(dict1[key], sub_key)
-                #     dict1[key][new_key] = sub_value
-                # else:
-                dict1[key][sub_key] = sub_value
-        else:
-            dict1[key] = value
-    return dict1
-
-
-def build_invalid_menu(invalid_components):
-    """Build the invalid menu."""
-    if not invalid_components.get("menu"):
-        return {}
-
-    logger.debug("------------------- INVALID COMPONENTS -------------------")
-    invalid_menu = {}
-    for menu_item in invalid_components["menu"]:
-        menu_name = menu_item["name"]
-        invalid_menu[menu_name] = build_invalid_menu_items(menu_item)
-    return invalid_menu
-
-
-def build_valid_menu(valid_components):
-    """Build the valid menu."""
-    valid_menu = {}
-    logger.debug("------------------- VALID COMPONENTS -------------------")
-    for menu_item in valid_components["menu"]:
-        menu_name = menu_item["name"]
-        valid_menu[menu_name] = build_menu_items(menu_item)
-    return valid_menu
-
-
-def build_and_validate_all_files(reader: DirectoryReader, file_list):
-    """Build and validate all files"""
-    data = reader.build_component_menu_list(file_list)
-
-    valid_components = reader.filter_loaded_components(data=data, with_errors=False)
-    invalid_components = reader.filter_loaded_components(data=data, with_errors=True)
-
-    return valid_components, invalid_components
-
-
-def load_files_from_path(path: str):
-    """Load all files from a given path"""
-    reader = DirectoryReader(path, False)
-
-    return reader.get_files()
-
-
-def build_custom_component_list_from_path(path: str):
-    """Build a list of custom components for the langchain from a given path"""
-    file_list = load_files_from_path(path)
-    reader = DirectoryReader(path, False)
-
-    valid_components, invalid_components = build_and_validate_all_files(reader, file_list)
-
-    valid_menu = build_valid_menu(valid_components)
-    invalid_menu = build_invalid_menu(invalid_components)
-
-    return merge_nested_dicts_with_renaming(valid_menu, invalid_menu)
-
-
-def create_invalid_component_template(component, component_name):
-    """Create a template for an invalid component."""
-    component_code = component["code"]
-    component_frontend_node = CustomComponentFrontendNode(
-        description="ERROR - Check your Python Code",
-        display_name=f"ERROR - {component_name}",
-    )
-
-    component_frontend_node.error = component.get("error", None)
-    field = component_frontend_node.template.get_field("code")
-    field.value = component_code
-    component_frontend_node.template.update_field("code", field)
-    return component_frontend_node.model_dump(by_alias=True, exclude_none=True)
-
-
-def log_invalid_component_details(component):
-    """Log details of an invalid component."""
-    logger.debug(component)
-    logger.debug(f"Component Path: {component.get('path', None)}")
-    logger.debug(f"Component Error: {component.get('error', None)}")
-
-
-def build_invalid_component(component):
-    """Build a single invalid component."""
-    component_name = component["name"]
-    component_template = create_invalid_component_template(component, component_name)
-    log_invalid_component_details(component)
-    return component_name, component_template
-
-
-def build_invalid_menu_items(menu_item):
-    """Build invalid menu items for a given menu."""
-    menu_items = {}
-    for component in menu_item["components"]:
-        try:
-            component_name, component_template = build_invalid_component(component)
-            menu_items[component_name] = component_template
-            logger.debug(f"Added {component_name} to invalid menu.")
-        except Exception as exc:
-            logger.exception(f"Error while creating custom component [{component_name}]: {str(exc)}")
-    return menu_items
-
-
-def get_new_key(dictionary, original_key):
-    counter = 1
-    new_key = original_key + " (" + str(counter) + ")"
-    while new_key in dictionary:
-        counter += 1
-        new_key = original_key + " (" + str(counter) + ")"
-    return new_key
-
-
-def determine_component_name(component):
-    """Determine the name of the component."""
-    file_name = component.get("file").split(".")[0]
-    return "".join(word.capitalize() for word in file_name.split("_")) if "_" in file_name else file_name
-
-
-def build_menu_items(menu_item):
-    """Build menu items for a given menu."""
-    menu_items = {}
-    for component_name, component_template, component in menu_item["components"]:
-        try:
-            menu_items[component_name] = component_template
-            logger.debug(f"Added {component_name} to valid menu.")
-        except Exception as exc:
-            logger.error(f"Error loading Component: {component['output_types']}")
-            logger.exception(f"Error while building custom component {component['output_types']}: {exc}")
-    return menu_items
diff --git a/src/backend/langflow/interface/custom/schema.py b/src/backend/langflow/interface/custom/schema.py
deleted file mode 100644
index 7c5975150ea..00000000000
--- a/src/backend/langflow/interface/custom/schema.py
+++ /dev/null
@@ -1,29 +0,0 @@
-from typing import Any, Optional
-
-from pydantic import BaseModel, Field
-
-
-class ClassCodeDetails(BaseModel):
-    """
-    A dataclass for storing details about a class.
-    """
-
-    name: str
-    doc: Optional[str] = None
-    bases: list
-    attributes: list
-    methods: list
-    init: Optional[dict] = Field(default_factory=dict)
-
-
-class CallableCodeDetails(BaseModel):
-    """
-    A dataclass for storing details about a callable.
-    """
-
-    name: str
-    doc: Optional[str] = None
-    args: list
-    body: list
-    return_type: Optional[Any] = None
-    has_return: bool = False
diff --git a/src/backend/langflow/interface/custom/utils.py b/src/backend/langflow/interface/custom/utils.py
deleted file mode 100644
index 2511c08ca36..00000000000
--- a/src/backend/langflow/interface/custom/utils.py
+++ /dev/null
@@ -1,404 +0,0 @@
-import ast
-import contextlib
-import re
-import traceback
-import warnings
-from typing import Any, Dict, List, Optional, Union
-from uuid import UUID
-
-from fastapi import HTTPException
-from langflow.field_typing.range_spec import RangeSpec
-from langflow.interface.custom.code_parser.utils import extract_inner_type
-from langflow.interface.custom.custom_component import CustomComponent
-from langflow.interface.custom.directory_reader.utils import (
-    build_custom_component_list_from_path,
-    determine_component_name,
-    merge_nested_dicts_with_renaming,
-)
-from langflow.interface.importing.utils import eval_custom_component_code
-from langflow.template.field.base import TemplateField
-from langflow.template.frontend_node.custom_components import (
-    CustomComponentFrontendNode,
-)
-from langflow.utils.util import get_base_classes
-from loguru import logger
-
-
-def add_output_types(frontend_node: CustomComponentFrontendNode, return_types: List[str]):
-    """Add output types to the frontend node"""
-    for return_type in return_types:
-        if return_type is None:
-            raise HTTPException(
-                status_code=400,
-                detail={
-                    "error": ("Invalid return type. Please check your code and try again."),
-                    "traceback": traceback.format_exc(),
-                },
-            )
-        if hasattr(return_type, "__name__"):
-            return_type = return_type.__name__
-        elif hasattr(return_type, "__class__"):
-            return_type = return_type.__class__.__name__
-        else:
-            return_type = str(return_type)
-
-        frontend_node.add_output_type(return_type)
-
-
-def reorder_fields(frontend_node: CustomComponentFrontendNode, field_order: List[str]):
-    """Reorder fields in the frontend node based on the specified field_order."""
-    if not field_order:
-        return
-
-    # Create a dictionary for O(1) lookup time.
-    field_dict = {field.name: field for field in frontend_node.template.fields}
-    reordered_fields = [field_dict[name] for name in field_order if name in field_dict]
-    # Add any fields that are not in the field_order list
-    for field in frontend_node.template.fields:
-        if field.name not in field_order:
-            reordered_fields.append(field)
-    frontend_node.template.fields = reordered_fields
-
-
-def add_base_classes(frontend_node: CustomComponentFrontendNode, return_types: List[str]):
-    """Add base classes to the frontend node"""
-    for return_type_instance in return_types:
-        if return_type_instance is None:
-            raise HTTPException(
-                status_code=400,
-                detail={
-                    "error": ("Invalid return type. Please check your code and try again."),
-                    "traceback": traceback.format_exc(),
-                },
-            )
-
-        base_classes = get_base_classes(return_type_instance)
-
-        for base_class in base_classes:
-            frontend_node.add_base_class(base_class)
-
-
-def extract_type_from_optional(field_type):
-    """
-    Extract the type from a string formatted as "Optional[<type>]".
-
-    Parameters:
-    field_type (str): The string from which to extract the type.
-
-    Returns:
-    str: The extracted type, or an empty string if no type was found.
-    """
-    match = re.search(r"\[(.*?)\]$", field_type)
-    return match[1] if match else None
-
-
-def get_field_properties(extra_field):
-    """Get the properties of an extra field"""
-    field_name = extra_field["name"]
-    field_type = extra_field.get("type", "str")
-    field_value = extra_field.get("default", "")
-    field_required = "optional" not in field_type.lower()
-
-    if not field_required:
-        field_type = extract_type_from_optional(field_type)
-    if field_value is not None:
-        with contextlib.suppress(Exception):
-            field_value = ast.literal_eval(field_value)
-    return field_name, field_type, field_value, field_required
-
-
-def process_type(field_type: str):
-    if field_type.startswith("list") or field_type.startswith("List"):
-        return extract_inner_type(field_type)
-    return "prompt" if field_type == "Prompt" else field_type
-
-
-def add_new_custom_field(
-    frontend_node: CustomComponentFrontendNode,
-    field_name: str,
-    field_type: str,
-    field_value: Any,
-    field_required: bool,
-    field_config: dict,
-):
-    # Check field_config if any of the keys are in it
-    # if it is, update the value
-    display_name = field_config.pop("display_name", None)
-    field_type = field_config.pop("field_type", field_type)
-    field_contains_list = "list" in field_type.lower()
-    field_type = process_type(field_type)
-    field_value = field_config.pop("value", field_value)
-    field_advanced = field_config.pop("advanced", False)
-
-    if field_type == "bool" and field_value is None:
-        field_value = False
-
-    # If options is a list, then it's a dropdown
-    # If options is None, then it's a list of strings
-    is_list = isinstance(field_config.get("options"), list)
-    field_config["is_list"] = is_list or field_config.get("is_list", False) or field_contains_list
-
-    if "name" in field_config:
-        warnings.warn("The 'name' key in field_config is used to build the object and can't be changed.")
-    required = field_config.pop("required", field_required)
-    placeholder = field_config.pop("placeholder", "")
-
-    new_field = TemplateField(
-        name=field_name,
-        field_type=field_type,
-        value=field_value,
-        show=True,
-        required=required,
-        advanced=field_advanced,
-        placeholder=placeholder,
-        display_name=display_name,
-        **sanitize_field_config(field_config),
-    )
-    frontend_node.template.upsert_field(field_name, new_field)
-    if isinstance(frontend_node.custom_fields, dict):
-        frontend_node.custom_fields[field_name] = None
-
-    return frontend_node
-
-
-def add_extra_fields(frontend_node, field_config, function_args):
-    """Add extra fields to the frontend node"""
-    if not function_args:
-        return
-
-    for extra_field in function_args:
-        if "name" not in extra_field or extra_field["name"] == "self":
-            continue
-
-        field_name, field_type, field_value, field_required = get_field_properties(extra_field)
-        config = field_config.get(field_name, {})
-        frontend_node = add_new_custom_field(
-            frontend_node,
-            field_name,
-            field_type,
-            field_value,
-            field_required,
-            config,
-        )
-
-
-def get_field_dict(field: Union[TemplateField, dict]):
-    """Get the field dictionary from a TemplateField or a dict"""
-    if isinstance(field, TemplateField):
-        return field.model_dump(by_alias=True, exclude_none=True)
-    return field
-
-
-def run_build_config(
-    custom_component: CustomComponent,
-    user_id: Optional[Union[str, UUID]] = None,
-    update_field=None,
-):
-    """Build the field configuration for a custom component"""
-
-    try:
-        if custom_component.code is None:
-            return {}
-        elif isinstance(custom_component.code, str):
-            custom_class = eval_custom_component_code(custom_component.code)
-        else:
-            raise ValueError("Invalid code type")
-    except Exception as exc:
-        logger.error(f"Error while evaluating custom component code: {str(exc)}")
-        raise HTTPException(
-            status_code=400,
-            detail={
-                "error": ("Invalid type convertion. Please check your code and try again."),
-                "traceback": traceback.format_exc(),
-            },
-        ) from exc
-
-    try:
-        custom_instance = custom_class(user_id=user_id)
-        build_config: Dict = custom_instance.build_config()
-
-        for field_name, field in build_config.items():
-            # Allow user to build TemplateField as well
-            # as a dict with the same keys as TemplateField
-            field_dict = get_field_dict(field)
-            if update_field is not None and field_name != update_field:
-                continue
-            try:
-                update_field_dict(field_dict)
-                build_config[field_name] = field_dict
-            except Exception as exc:
-                logger.error(f"Error while getting build_config: {str(exc)}")
-
-        return build_config, custom_instance
-
-    except Exception as exc:
-        logger.error(f"Error while building field config: {str(exc)}")
-        raise HTTPException(
-            status_code=400,
-            detail={
-                "error": ("Invalid type convertion. Please check your code and try again."),
-                "traceback": traceback.format_exc(),
-            },
-        ) from exc
-
-
-def sanitize_template_config(template_config):
-    """Sanitize the template config"""
-    attributes = {
-        "display_name",
-        "description",
-        "beta",
-        "documentation",
-        "output_types",
-        "icon",
-    }
-    for key in template_config.copy():
-        if key not in attributes:
-            template_config.pop(key, None)
-
-    return template_config
-
-
-def build_frontend_node(template_config):
-    """Build a frontend node for a custom component"""
-    try:
-        sanitized_template_config = sanitize_template_config(template_config)
-        return CustomComponentFrontendNode(**sanitized_template_config)
-    except Exception as exc:
-        logger.error(f"Error while building base frontend node: {exc}")
-        raise exc
-
-
-def add_code_field(frontend_node: CustomComponentFrontendNode, raw_code, field_config):
-    code_field = TemplateField(
-        dynamic=True,
-        required=True,
-        placeholder="",
-        multiline=True,
-        value=raw_code,
-        password=False,
-        name="code",
-        advanced=field_config.pop("advanced", False),
-        field_type="code",
-        is_list=False,
-    )
-    frontend_node.template.add_field(code_field)
-
-    return frontend_node
-
-
-def build_custom_component_template(
-    custom_component: CustomComponent,
-    user_id: Optional[Union[str, UUID]] = None,
-    update_field: Optional[str] = None,
-) -> Optional[Dict[str, Any]]:
-    """Build a custom component template for the langchain"""
-    try:
-        logger.debug("Building custom component template")
-        frontend_node = build_frontend_node(custom_component.template_config)
-
-        logger.debug("Built base frontend node")
-
-        logger.debug("Updated attributes")
-        field_config, custom_instance = run_build_config(custom_component, user_id=user_id, update_field=update_field)
-        logger.debug("Built field config")
-        entrypoint_args = custom_component.get_function_entrypoint_args
-
-        add_extra_fields(frontend_node, field_config, entrypoint_args)
-        logger.debug("Added extra fields")
-        frontend_node = add_code_field(frontend_node, custom_component.code, field_config.get("code", {}))
-        logger.debug("Added code field")
-        add_base_classes(frontend_node, custom_component.get_function_entrypoint_return_type)
-        add_output_types(frontend_node, custom_component.get_function_entrypoint_return_type)
-        logger.debug("Added base classes")
-
-        reorder_fields(frontend_node, custom_instance._get_field_order())
-
-        return frontend_node.to_dict(add_name=False)
-    except Exception as exc:
-        if isinstance(exc, HTTPException):
-            raise exc
-        raise HTTPException(
-            status_code=400,
-            detail={
-                "error": ("Invalid type convertion. Please check your code and try again."),
-                "traceback": traceback.format_exc(),
-            },
-        ) from exc
-
-
-def create_component_template(component):
-    """Create a template for a component."""
-    component_code = component["code"]
-    component_output_types = component["output_types"]
-
-    component_extractor = CustomComponent(code=component_code)
-
-    component_template = build_custom_component_template(component_extractor)
-    component_template["output_types"] = component_output_types
-    return component_template
-
-
-def build_custom_components(settings_service):
-    """Build custom components from the specified paths."""
-    if not settings_service.settings.COMPONENTS_PATH:
-        return {}
-
-    logger.info(f"Building custom components from {settings_service.settings.COMPONENTS_PATH}")
-    custom_components_from_file = {}
-    processed_paths = set()
-    for path in settings_service.settings.COMPONENTS_PATH:
-        path_str = str(path)
-        if path_str in processed_paths:
-            continue
-
-        custom_component_dict = build_custom_component_list_from_path(path_str)
-        if custom_component_dict:
-            category = next(iter(custom_component_dict))
-            logger.info(f"Loading {len(custom_component_dict[category])} component(s) from category {category}")
-            custom_components_from_file = merge_nested_dicts_with_renaming(
-                custom_components_from_file, custom_component_dict
-            )
-        processed_paths.add(path_str)
-
-    return custom_components_from_file
-
-
-def update_field_dict(field_dict):
-    """Update the field dictionary by calling options() or value() if they are callable"""
-    if "options" in field_dict and callable(field_dict["options"]):
-        field_dict["options"] = field_dict["options"]()
-        # Also update the "refresh" key
-        field_dict["refresh"] = True
-
-    if "value" in field_dict and callable(field_dict["value"]):
-        field_dict["value"] = field_dict["value"]()
-        field_dict["refresh"] = True
-
-    # Let's check if "range_spec" is a RangeSpec object
-    if "rangeSpec" in field_dict and isinstance(field_dict["rangeSpec"], RangeSpec):
-        field_dict["rangeSpec"] = field_dict["rangeSpec"].model_dump()
-
-
-def sanitize_field_config(field_config: Dict):
-    # If any of the already existing keys are in field_config, remove them
-    for key in [
-        "name",
-        "field_type",
-        "value",
-        "required",
-        "placeholder",
-        "display_name",
-        "advanced",
-        "show",
-    ]:
-        field_config.pop(key, None)
-    return field_config
-
-
-def build_component(component):
-    """Build a single component."""
-    logger.debug(f"Building component: {component.get('name'), component.get('output_types')}")
-    component_name = determine_component_name(component)
-    component_template = create_component_template(component)
-    return component_name, component_template
diff --git a/src/backend/langflow/interface/custom_lists.py b/src/backend/langflow/interface/custom_lists.py
deleted file mode 100644
index 3cff2609946..00000000000
--- a/src/backend/langflow/interface/custom_lists.py
+++ /dev/null
@@ -1,66 +0,0 @@
-import inspect
-from typing import Any
-
-from langchain import llms, memory, requests, text_splitter
-from langchain_community.chat_models import AzureChatOpenAI, ChatAnthropic, ChatOpenAI, ChatVertexAI
-from langchain_community import agent_toolkits, document_loaders, embeddings
-
-from langflow.interface.agents.custom import CUSTOM_AGENTS
-from langflow.interface.chains.custom import CUSTOM_CHAINS
-from langflow.interface.importing.utils import import_class
-
-# LLMs
-llm_type_to_cls_dict = {}
-
-for k, v in llms.get_type_to_cls_dict().items():
-    try:
-        llm_type_to_cls_dict[k] = v()
-    except Exception:
-        pass
-llm_type_to_cls_dict["anthropic-chat"] = ChatAnthropic  # type: ignore
-llm_type_to_cls_dict["azure-chat"] = AzureChatOpenAI  # type: ignore
-llm_type_to_cls_dict["openai-chat"] = ChatOpenAI  # type: ignore
-llm_type_to_cls_dict["vertexai-chat"] = ChatVertexAI  # type: ignore
-
-
-# Toolkits
-toolkit_type_to_loader_dict: dict[str, Any] = {
-    toolkit_name: import_class(f"langchain_community.agent_toolkits.{toolkit_name}")
-    # if toolkit_name is lower case it is a loader
-    for toolkit_name in agent_toolkits.__all__
-    if toolkit_name.islower()
-}
-
-toolkit_type_to_cls_dict: dict[str, Any] = {
-    toolkit_name: import_class(f"langchain_community.agent_toolkits.{toolkit_name}")
-    # if toolkit_name is not lower case it is a class
-    for toolkit_name in agent_toolkits.__all__
-    if not toolkit_name.islower()
-}
-
-# Memories
-memory_type_to_cls_dict: dict[str, Any] = {
-    memory_name: import_class(f"langchain.memory.{memory_name}") for memory_name in memory.__all__
-}
-
-# Wrappers
-wrapper_type_to_cls_dict: dict[str, Any] = {wrapper.__name__: wrapper for wrapper in [requests.RequestsWrapper]}
-
-# Embeddings
-embedding_type_to_cls_dict: dict[str, Any] = {
-    embedding_name: import_class(f"langchain_community.embeddings.{embedding_name}")
-    for embedding_name in embeddings.__all__
-}
-
-
-# Document Loaders
-documentloaders_type_to_cls_dict: dict[str, Any] = {
-    documentloader_name: import_class(f"langchain_community.document_loaders.{documentloader_name}")
-    for documentloader_name in document_loaders.__all__
-}
-
-# Text Splitters
-textsplitter_type_to_cls_dict: dict[str, Any] = dict(inspect.getmembers(text_splitter, inspect.isclass))
-
-# merge CUSTOM_AGENTS and CUSTOM_CHAINS
-CUSTOM_NODES = {**CUSTOM_AGENTS, **CUSTOM_CHAINS}  # type: ignore
diff --git a/src/backend/langflow/interface/document_loaders/base.py b/src/backend/langflow/interface/document_loaders/base.py
deleted file mode 100644
index 6142d2fa240..00000000000
--- a/src/backend/langflow/interface/document_loaders/base.py
+++ /dev/null
@@ -1,42 +0,0 @@
-from typing import Dict, List, Optional, Type
-
-from langflow.interface.base import LangChainTypeCreator
-from langflow.services.deps import get_settings_service
-from langflow.template.frontend_node.documentloaders import DocumentLoaderFrontNode
-from langflow.interface.custom_lists import documentloaders_type_to_cls_dict
-
-from loguru import logger
-from langflow.utils.util import build_template_from_class
-
-
-class DocumentLoaderCreator(LangChainTypeCreator):
-    type_name: str = "documentloaders"
-
-    @property
-    def frontend_node_class(self) -> Type[DocumentLoaderFrontNode]:
-        return DocumentLoaderFrontNode
-
-    @property
-    def type_to_loader_dict(self) -> Dict:
-        return documentloaders_type_to_cls_dict
-
-    def get_signature(self, name: str) -> Optional[Dict]:
-        """Get the signature of a document loader."""
-        try:
-            return build_template_from_class(name, documentloaders_type_to_cls_dict)
-        except ValueError as exc:
-            raise ValueError(f"Documment Loader {name} not found") from exc
-        except AttributeError as exc:
-            logger.error(f"Documment Loader {name} not loaded: {exc}")
-            return None
-
-    def to_list(self) -> List[str]:
-        settings_service = get_settings_service()
-        return [
-            documentloader.__name__
-            for documentloader in self.type_to_loader_dict.values()
-            if documentloader.__name__ in settings_service.settings.DOCUMENTLOADERS or settings_service.settings.DEV
-        ]
-
-
-documentloader_creator = DocumentLoaderCreator()
diff --git a/src/backend/langflow/interface/embeddings/base.py b/src/backend/langflow/interface/embeddings/base.py
deleted file mode 100644
index 834ea61fa02..00000000000
--- a/src/backend/langflow/interface/embeddings/base.py
+++ /dev/null
@@ -1,44 +0,0 @@
-from typing import Dict, List, Optional, Type
-
-from langflow.interface.base import LangChainTypeCreator
-from langflow.interface.custom_lists import embedding_type_to_cls_dict
-from langflow.services.deps import get_settings_service
-
-from langflow.template.frontend_node.base import FrontendNode
-from langflow.template.frontend_node.embeddings import EmbeddingFrontendNode
-from loguru import logger
-from langflow.utils.util import build_template_from_class
-
-
-class EmbeddingCreator(LangChainTypeCreator):
-    type_name: str = "embeddings"
-
-    @property
-    def type_to_loader_dict(self) -> Dict:
-        return embedding_type_to_cls_dict
-
-    @property
-    def frontend_node_class(self) -> Type[FrontendNode]:
-        return EmbeddingFrontendNode
-
-    def get_signature(self, name: str) -> Optional[Dict]:
-        """Get the signature of an embedding."""
-        try:
-            return build_template_from_class(name, embedding_type_to_cls_dict)
-        except ValueError as exc:
-            raise ValueError(f"Embedding {name} not found") from exc
-
-        except AttributeError as exc:
-            logger.error(f"Embedding {name} not loaded: {exc}")
-            return None
-
-    def to_list(self) -> List[str]:
-        settings_service = get_settings_service()
-        return [
-            embedding.__name__
-            for embedding in self.type_to_loader_dict.values()
-            if embedding.__name__ in settings_service.settings.EMBEDDINGS or settings_service.settings.DEV
-        ]
-
-
-embedding_creator = EmbeddingCreator()
diff --git a/src/backend/langflow/interface/importing/__init__.py b/src/backend/langflow/interface/importing/__init__.py
deleted file mode 100644
index 317849f8e15..00000000000
--- a/src/backend/langflow/interface/importing/__init__.py
+++ /dev/null
@@ -1,7 +0,0 @@
-from langflow.interface.importing.utils import import_by_type  # noqa: F401
-
-# This module is used to import any langchain class by name.
-
-ALL = [
-    "import_by_type",
-]
diff --git a/src/backend/langflow/interface/importing/utils.py b/src/backend/langflow/interface/importing/utils.py
deleted file mode 100644
index 9d7305f16dd..00000000000
--- a/src/backend/langflow/interface/importing/utils.py
+++ /dev/null
@@ -1,186 +0,0 @@
-# This module is used to import any langchain class by name.
-
-import importlib
-from typing import Any, Type
-
-from langchain.agents import Agent
-from langchain.base_language import BaseLanguageModel
-from langchain.chains.base import Chain
-from langchain.prompts import PromptTemplate
-from langchain.tools import BaseTool
-from langchain_core.language_models.chat_models import BaseChatModel
-from langflow.interface.custom.custom_component import CustomComponent
-from langflow.interface.wrappers.base import wrapper_creator
-from langflow.utils import validate
-
-
-def import_module(module_path: str) -> Any:
-    """Import module from module path"""
-    if "from" not in module_path:
-        # Import the module using the module path
-        return importlib.import_module(module_path)
-    # Split the module path into its components
-    _, module_path, _, object_name = module_path.split()
-
-    # Import the module using the module path
-    module = importlib.import_module(module_path)
-
-    return getattr(module, object_name)
-
-
-def import_by_type(_type: str, name: str) -> Any:
-    """Import class by type and name"""
-    if _type is None:
-        raise ValueError(f"Type cannot be None. Check if {name} is in the config file.")
-    func_dict = {
-        "agents": import_agent,
-        "prompts": import_prompt,
-        "llms": {"llm": import_llm, "chat": import_chat_llm},
-        "tools": import_tool,
-        "chains": import_chain,
-        "toolkits": import_toolkit,
-        "wrappers": import_wrapper,
-        "memory": import_memory,
-        "embeddings": import_embedding,
-        "vectorstores": import_vectorstore,
-        "documentloaders": import_documentloader,
-        "textsplitters": import_textsplitter,
-        "utilities": import_utility,
-        "output_parsers": import_output_parser,
-        "retrievers": import_retriever,
-        "custom_components": import_custom_component,
-    }
-    if _type == "llms":
-        key = "chat" if "chat" in name.lower() else "llm"
-        loaded_func = func_dict[_type][key]  # type: ignore
-    else:
-        loaded_func = func_dict[_type]
-
-    return loaded_func(name)
-
-
-def import_custom_component(custom_component: str) -> CustomComponent:
-    """Import custom component from custom component name"""
-    return import_class("langflow.interface.custom.custom_component.CustomComponent")
-
-
-def import_output_parser(output_parser: str) -> Any:
-    """Import output parser from output parser name"""
-    return import_module(f"from langchain.output_parsers import {output_parser}")
-
-
-def import_chat_llm(llm: str) -> BaseChatModel:
-    """Import chat llm from llm name"""
-    return import_class(f"langchain_community.chat_models.{llm}")
-
-
-def import_retriever(retriever: str) -> Any:
-    """Import retriever from retriever name"""
-    return import_module(f"from langchain.retrievers import {retriever}")
-
-
-def import_memory(memory: str) -> Any:
-    """Import memory from memory name"""
-    return import_module(f"from langchain.memory import {memory}")
-
-
-def import_class(class_path: str) -> Any:
-    """Import class from class path"""
-    module_path, class_name = class_path.rsplit(".", 1)
-    module = import_module(module_path)
-    return getattr(module, class_name)
-
-
-def import_prompt(prompt: str) -> Type[PromptTemplate]:
-    """Import prompt from prompt name"""
-    from langflow.interface.prompts.custom import CUSTOM_PROMPTS
-
-    if prompt == "ZeroShotPrompt":
-        return import_class("langchain.prompts.PromptTemplate")
-    elif prompt in CUSTOM_PROMPTS:
-        return CUSTOM_PROMPTS[prompt]
-    return import_class(f"langchain.prompts.{prompt}")
-
-
-def import_wrapper(wrapper: str) -> Any:
-    """Import wrapper from wrapper name"""
-    if isinstance(wrapper_creator.type_dict, dict) and wrapper in wrapper_creator.type_dict:
-        return wrapper_creator.type_dict.get(wrapper)
-
-
-def import_toolkit(toolkit: str) -> Any:
-    """Import toolkit from toolkit name"""
-    return import_module(f"from langchain.agents.agent_toolkits import {toolkit}")
-
-
-def import_agent(agent: str) -> Agent:
-    """Import agent from agent name"""
-    # check for custom agent
-
-    return import_class(f"langchain.agents.{agent}")
-
-
-def import_llm(llm: str) -> BaseLanguageModel:
-    """Import llm from llm name"""
-    return import_class(f"langchain.llms.{llm}")
-
-
-def import_tool(tool: str) -> BaseTool:
-    """Import tool from tool name"""
-    from langflow.interface.tools.base import tool_creator
-
-    if tool in tool_creator.type_to_loader_dict:
-        return tool_creator.type_to_loader_dict[tool]["fcn"]
-
-    return import_class(f"langchain.tools.{tool}")
-
-
-def import_chain(chain: str) -> Type[Chain]:
-    """Import chain from chain name"""
-    from langflow.interface.chains.custom import CUSTOM_CHAINS
-
-    if chain in CUSTOM_CHAINS:
-        return CUSTOM_CHAINS[chain]
-    if chain == "SQLDatabaseChain":
-        return import_class("langchain_experimental.sql.SQLDatabaseChain")
-    return import_class(f"langchain.chains.{chain}")
-
-
-def import_embedding(embedding: str) -> Any:
-    """Import embedding from embedding name"""
-    return import_class(f"langchain_community.embeddings.{embedding}")
-
-
-def import_vectorstore(vectorstore: str) -> Any:
-    """Import vectorstore from vectorstore name"""
-    return import_class(f"langchain_community.vectorstores.{vectorstore}")
-
-
-def import_documentloader(documentloader: str) -> Any:
-    """Import documentloader from documentloader name"""
-    return import_class(f"langchain_community.document_loaders.{documentloader}")
-
-
-def import_textsplitter(textsplitter: str) -> Any:
-    """Import textsplitter from textsplitter name"""
-    return import_class(f"langchain.text_splitter.{textsplitter}")
-
-
-def import_utility(utility: str) -> Any:
-    """Import utility from utility name"""
-    if utility == "SQLDatabase":
-        return import_class(f"langchain_community.sql_database.{utility}")
-    return import_class(f"langchain_community.utilities.{utility}")
-
-
-def get_function(code):
-    """Get the function"""
-    function_name = validate.extract_function_name(code)
-
-    return validate.create_function(code, function_name)
-
-
-def eval_custom_component_code(code: str) -> Type[CustomComponent]:
-    """Evaluate custom component code"""
-    class_name = validate.extract_class_name(code)
-    return validate.create_class(code, class_name)
diff --git a/src/backend/langflow/interface/initialize/llm.py b/src/backend/langflow/interface/initialize/llm.py
deleted file mode 100644
index 05219d7d329..00000000000
--- a/src/backend/langflow/interface/initialize/llm.py
+++ /dev/null
@@ -1,7 +0,0 @@
-def initialize_vertexai(class_object, params):
-    if credentials_path := params.get("credentials"):
-        from google.oauth2 import service_account  # type: ignore
-
-        credentials_object = service_account.Credentials.from_service_account_file(filename=credentials_path)
-        params["credentials"] = credentials_object
-    return class_object(**params)
diff --git a/src/backend/langflow/interface/initialize/loading.py b/src/backend/langflow/interface/initialize/loading.py
deleted file mode 100644
index 652cd1a0c73..00000000000
--- a/src/backend/langflow/interface/initialize/loading.py
+++ /dev/null
@@ -1,499 +0,0 @@
-import inspect
-import json
-from typing import TYPE_CHECKING, Any, Callable, Dict, Sequence, Type
-
-import orjson
-from langchain.agents import agent as agent_module
-from langchain.agents.agent import AgentExecutor
-from langchain.agents.agent_toolkits.base import BaseToolkit
-from langchain.agents.tools import BaseTool
-from langchain.chains.base import Chain
-from langchain.document_loaders.base import BaseLoader
-from langchain_community.vectorstores import VectorStore
-from langchain_core.documents import Document
-from loguru import logger
-from pydantic import ValidationError
-
-from langflow.interface.custom_lists import CUSTOM_NODES
-from langflow.interface.importing.utils import eval_custom_component_code, get_function, import_by_type
-from langflow.interface.initialize.llm import initialize_vertexai
-from langflow.interface.initialize.utils import handle_format_kwargs, handle_node_type, handle_partial_variables
-from langflow.interface.initialize.vector_store import vecstore_initializer
-from langflow.interface.output_parsers.base import output_parser_creator
-from langflow.interface.retrievers.base import retriever_creator
-from langflow.interface.toolkits.base import toolkits_creator
-from langflow.interface.utils import load_file_into_dict
-from langflow.interface.wrappers.base import wrapper_creator
-from langflow.utils import validate
-
-if TYPE_CHECKING:
-    from langflow import CustomComponent
-
-
-def build_vertex_in_params(params: Dict) -> Dict:
-    from langflow.graph.vertex.base import Vertex
-
-    # If any of the values in params is a Vertex, we will build it
-    return {key: value.build() if isinstance(value, Vertex) else value for key, value in params.items()}
-
-
-async def instantiate_class(node_type: str, base_type: str, params: Dict, user_id=None) -> Any:
-    """Instantiate class from module type and key, and params"""
-    params = convert_params_to_sets(params)
-    params = convert_kwargs(params)
-
-    if node_type in CUSTOM_NODES:
-        if custom_node := CUSTOM_NODES.get(node_type):
-            if hasattr(custom_node, "initialize"):
-                return custom_node.initialize(**params)
-            return custom_node(**params)
-    logger.debug(f"Instantiating {node_type} of type {base_type}")
-    class_object = import_by_type(_type=base_type, name=node_type)
-    return await instantiate_based_on_type(class_object, base_type, node_type, params, user_id=user_id)
-
-
-def convert_params_to_sets(params):
-    """Convert certain params to sets"""
-    if "allowed_special" in params:
-        params["allowed_special"] = set(params["allowed_special"])
-    if "disallowed_special" in params:
-        params["disallowed_special"] = set(params["disallowed_special"])
-    return params
-
-
-def convert_kwargs(params):
-    # if *kwargs are passed as a string, convert to dict
-    # first find any key that has kwargs or config in it
-    kwargs_keys = [key for key in params.keys() if "kwargs" in key or "config" in key]
-    for key in kwargs_keys:
-        if isinstance(params[key], str):
-            try:
-                params[key] = orjson.loads(params[key])
-            except json.JSONDecodeError:
-                # if the string is not a valid json string, we will
-                # remove the key from the params
-                params.pop(key, None)
-    return params
-
-
-async def instantiate_based_on_type(class_object, base_type, node_type, params, user_id):
-    if base_type == "agents":
-        return instantiate_agent(node_type, class_object, params)
-    elif base_type == "prompts":
-        return instantiate_prompt(node_type, class_object, params)
-    elif base_type == "tools":
-        tool = instantiate_tool(node_type, class_object, params)
-        if hasattr(tool, "name") and isinstance(tool, BaseTool):
-            # tool name shouldn't contain spaces
-            tool.name = tool.name.replace(" ", "_")
-        return tool
-    elif base_type == "toolkits":
-        return instantiate_toolkit(node_type, class_object, params)
-    elif base_type == "embeddings":
-        return instantiate_embedding(node_type, class_object, params)
-    elif base_type == "vectorstores":
-        return instantiate_vectorstore(class_object, params)
-    elif base_type == "documentloaders":
-        return instantiate_documentloader(node_type, class_object, params)
-    elif base_type == "textsplitters":
-        return instantiate_textsplitter(class_object, params)
-    elif base_type == "utilities":
-        return instantiate_utility(node_type, class_object, params)
-    elif base_type == "chains":
-        return instantiate_chains(node_type, class_object, params)
-    elif base_type == "output_parsers":
-        return instantiate_output_parser(node_type, class_object, params)
-    elif base_type == "llms":
-        return instantiate_llm(node_type, class_object, params)
-    elif base_type == "retrievers":
-        return instantiate_retriever(node_type, class_object, params)
-    elif base_type == "memory":
-        return instantiate_memory(node_type, class_object, params)
-    elif base_type == "custom_components":
-        return await instantiate_custom_component(node_type, class_object, params, user_id)
-    elif base_type == "wrappers":
-        return instantiate_wrapper(node_type, class_object, params)
-    else:
-        return class_object(**params)
-
-
-async def instantiate_custom_component(node_type, class_object, params, user_id):
-    params_copy = params.copy()
-    class_object: "CustomComponent" = eval_custom_component_code(params_copy.pop("code"))
-    custom_component = class_object(user_id=user_id)
-
-    if "retriever" in params_copy and hasattr(params_copy["retriever"], "as_retriever"):
-        params_copy["retriever"] = params_copy["retriever"].as_retriever()
-
-    # Determine if the build method is asynchronous
-    is_async = inspect.iscoroutinefunction(custom_component.build)
-
-    if is_async:
-        # Await the build method directly if it's async
-        built_object = await custom_component.build(**params_copy)
-    else:
-        # Call the build method directly if it's sync
-        built_object = custom_component.build(**params_copy)
-
-    return built_object, {"repr": custom_component.custom_repr()}
-
-
-def instantiate_wrapper(node_type, class_object, params):
-    if node_type in wrapper_creator.from_method_nodes:
-        method = wrapper_creator.from_method_nodes[node_type]
-        if class_method := getattr(class_object, method, None):
-            return class_method(**params)
-        raise ValueError(f"Method {method} not found in {class_object}")
-    return class_object(**params)
-
-
-def instantiate_output_parser(node_type, class_object, params):
-    if node_type in output_parser_creator.from_method_nodes:
-        method = output_parser_creator.from_method_nodes[node_type]
-        if class_method := getattr(class_object, method, None):
-            return class_method(**params)
-        raise ValueError(f"Method {method} not found in {class_object}")
-    return class_object(**params)
-
-
-def instantiate_llm(node_type, class_object, params: Dict):
-    # This is a workaround so JinaChat works until streaming is implemented
-    # if "openai_api_base" in params and "jina" in params["openai_api_base"]:
-    # False if condition is True
-    if "VertexAI" in node_type:
-        return initialize_vertexai(class_object=class_object, params=params)
-    # max_tokens sometimes is a string and should be an int
-    if "max_tokens" in params:
-        if isinstance(params["max_tokens"], str) and params["max_tokens"].isdigit():
-            params["max_tokens"] = int(params["max_tokens"])
-        elif not isinstance(params.get("max_tokens"), int):
-            params.pop("max_tokens", None)
-    return class_object(**params)
-
-
-def instantiate_memory(node_type, class_object, params):
-    # process input_key and output_key to remove them if
-    # they are empty strings
-    if node_type == "ConversationEntityMemory":
-        params.pop("memory_key", None)
-
-    for key in ["input_key", "output_key"]:
-        if key in params and (params[key] == "" or not params[key]):
-            params.pop(key)
-
-    try:
-        if "retriever" in params and hasattr(params["retriever"], "as_retriever"):
-            params["retriever"] = params["retriever"].as_retriever()
-        return class_object(**params)
-    # I want to catch a specific attribute error that happens
-    # when the object does not have a cursor attribute
-    except Exception as exc:
-        if "object has no attribute 'cursor'" in str(exc) or 'object has no field "conn"' in str(exc):
-            raise AttributeError(
-                (
-                    "Failed to build connection to database."
-                    f" Please check your connection string and try again. Error: {exc}"
-                )
-            ) from exc
-        raise exc
-
-
-def instantiate_retriever(node_type, class_object, params):
-    if "retriever" in params and hasattr(params["retriever"], "as_retriever"):
-        params["retriever"] = params["retriever"].as_retriever()
-    if node_type in retriever_creator.from_method_nodes:
-        method = retriever_creator.from_method_nodes[node_type]
-        if class_method := getattr(class_object, method, None):
-            return class_method(**params)
-        raise ValueError(f"Method {method} not found in {class_object}")
-    return class_object(**params)
-
-
-def instantiate_chains(node_type, class_object: Type[Chain], params: Dict):
-    from langflow.interface.chains.base import chain_creator
-
-    if "retriever" in params and hasattr(params["retriever"], "as_retriever"):
-        params["retriever"] = params["retriever"].as_retriever()
-    if node_type in chain_creator.from_method_nodes:
-        method = chain_creator.from_method_nodes[node_type]
-        if class_method := getattr(class_object, method, None):
-            return class_method(**params)
-        raise ValueError(f"Method {method} not found in {class_object}")
-
-    return class_object(**params)
-
-
-def instantiate_agent(node_type, class_object: Type[agent_module.Agent], params: Dict):
-    from langflow.interface.agents.base import agent_creator
-
-    if node_type in agent_creator.from_method_nodes:
-        method = agent_creator.from_method_nodes[node_type]
-        if class_method := getattr(class_object, method, None):
-            agent = class_method(**params)
-            tools = params.get("tools", [])
-            return AgentExecutor.from_agent_and_tools(agent=agent, tools=tools, handle_parsing_errors=True)
-    return load_agent_executor(class_object, params)
-
-
-def instantiate_prompt(node_type, class_object, params: Dict):
-    params, prompt = handle_node_type(node_type, class_object, params)
-    format_kwargs = handle_format_kwargs(prompt, params)
-    # Now we'll use partial_format to format the prompt
-    if format_kwargs:
-        prompt = handle_partial_variables(prompt, format_kwargs)
-    return prompt, format_kwargs
-
-
-def instantiate_tool(node_type, class_object: Type[BaseTool], params: Dict):
-    if node_type == "JsonSpec":
-        if file_dict := load_file_into_dict(params.pop("path")):
-            params["dict_"] = file_dict
-        else:
-            raise ValueError("Invalid file")
-        return class_object(**params)
-    elif node_type == "PythonFunctionTool":
-        params["func"] = get_function(params.get("code"))
-        return class_object(**params)
-    elif node_type == "PythonFunction":
-        function_string = params["code"]
-        if isinstance(function_string, str):
-            return validate.eval_function(function_string)
-        raise ValueError("Function should be a string")
-    elif node_type.lower() == "tool":
-        return class_object(**params)
-    return class_object(**params)
-
-
-def instantiate_toolkit(node_type, class_object: Type[BaseToolkit], params: Dict):
-    loaded_toolkit = class_object(**params)
-    # Commenting this out for now to use toolkits as normal tools
-    # if toolkits_creator.has_create_function(node_type):
-    #     return load_toolkits_executor(node_type, loaded_toolkit, params)
-    if isinstance(loaded_toolkit, BaseToolkit):
-        return loaded_toolkit.get_tools()
-    return loaded_toolkit
-
-
-def instantiate_embedding(node_type, class_object, params: Dict):
-    params.pop("model", None)
-    params.pop("headers", None)
-
-    if "VertexAI" in node_type:
-        return initialize_vertexai(class_object=class_object, params=params)
-
-    if "OpenAIEmbedding" in node_type:
-        params["disallowed_special"] = ()
-
-    try:
-        return class_object(**params)
-    except ValidationError:
-        params = {key: value for key, value in params.items() if key in class_object.model_fields}
-        return class_object(**params)
-
-
-def instantiate_vectorstore(class_object: Type[VectorStore], params: Dict):
-    search_kwargs = params.pop("search_kwargs", {})
-    if search_kwargs == {"yourkey": "value"}:
-        search_kwargs = {}
-    # clean up docs or texts to have only documents
-    if "texts" in params:
-        params["documents"] = params.pop("texts")
-    if "documents" in params:
-        params["documents"] = [doc for doc in params["documents"] if isinstance(doc, Document)]
-    if initializer := vecstore_initializer.get(class_object.__name__):
-        vecstore = initializer(class_object, params)
-    else:
-        if "texts" in params:
-            params["documents"] = params.pop("texts")
-        vecstore = class_object.from_documents(**params)
-
-    # ! This might not work. Need to test
-    if search_kwargs and hasattr(vecstore, "as_retriever"):
-        vecstore = vecstore.as_retriever(search_kwargs=search_kwargs)
-
-    return vecstore
-
-
-def instantiate_documentloader(node_type: str, class_object: Type[BaseLoader], params: Dict):
-    if "file_filter" in params:
-        # file_filter will be a string but we need a function
-        # that will be used to filter the files using file_filter
-        # like lambda x: x.endswith(".txt") but as we don't know
-        # anything besides the string, we will simply check if the string is
-        # in x and if it is, we will return True
-        file_filter = params.pop("file_filter")
-        extensions = file_filter.split(",")
-        params["file_filter"] = lambda x: any(extension.strip() in x for extension in extensions)
-    metadata = params.pop("metadata", None)
-    if metadata and isinstance(metadata, str):
-        try:
-            metadata = orjson.loads(metadata)
-        except json.JSONDecodeError as exc:
-            raise ValueError("The metadata you provided is not a valid JSON string.") from exc
-
-    if node_type == "WebBaseLoader":
-        if web_path := params.pop("web_path", None):
-            params["web_paths"] = [web_path]
-
-    docs = class_object(**params).load()
-    # Now if metadata is an empty dict, we will not add it to the documents
-    if metadata:
-        for doc in docs:
-            # If the document already has metadata, we will not overwrite it
-            if not doc.metadata:
-                doc.metadata = metadata
-            else:
-                doc.metadata.update(metadata)
-
-    return docs
-
-
-def instantiate_textsplitter(
-    class_object,
-    params: Dict,
-):
-    try:
-        documents = params.pop("documents")
-        if not isinstance(documents, list):
-            documents = [documents]
-    except KeyError as exc:
-        raise ValueError(
-            "The source you provided did not load correctly or was empty."
-            "Try changing the chunk_size of the Text Splitter."
-        ) from exc
-
-    if ("separator_type" in params and params["separator_type"] == "Text") or "separator_type" not in params:
-        params.pop("separator_type", None)
-        # separators might come in as an escaped string like \\n
-        # so we need to convert it to a string
-        if "separators" in params:
-            params["separators"] = params["separators"].encode().decode("unicode-escape")
-        text_splitter = class_object(**params)
-    else:
-        from langchain.text_splitter import Language
-
-        language = params.pop("separator_type", None)
-        params["language"] = Language(language)
-        params.pop("separators", None)
-
-        text_splitter = class_object.from_language(**params)
-    return text_splitter.split_documents(documents)
-
-
-def instantiate_utility(node_type, class_object, params: Dict):
-    if node_type == "SQLDatabase":
-        return class_object.from_uri(params.pop("uri"))
-    return class_object(**params)
-
-
-def replace_zero_shot_prompt_with_prompt_template(nodes):
-    """Replace ZeroShotPrompt with PromptTemplate"""
-    for node in nodes:
-        if node["data"]["type"] == "ZeroShotPrompt":
-            # Build Prompt Template
-            tools = [
-                tool
-                for tool in nodes
-                if tool["type"] != "chatOutputNode" and "Tool" in tool["data"]["node"]["base_classes"]
-            ]
-            node["data"] = build_prompt_template(prompt=node["data"], tools=tools)
-            break
-    return nodes
-
-
-def load_agent_executor(agent_class: type[agent_module.Agent], params, **kwargs):
-    """Load agent executor from agent class, tools and chain"""
-    allowed_tools: Sequence[BaseTool] = params.get("allowed_tools", [])
-    llm_chain = params["llm_chain"]
-    # agent has hidden args for memory. might need to be support
-    # memory = params["memory"]
-    # if allowed_tools is not a list or set, make it a list
-    if not isinstance(allowed_tools, (list, set)) and isinstance(allowed_tools, BaseTool):
-        allowed_tools = [allowed_tools]
-    tool_names = [tool.name for tool in allowed_tools]
-    # Agent class requires an output_parser but Agent classes
-    # have a default output_parser.
-    agent = agent_class(allowed_tools=tool_names, llm_chain=llm_chain)  # type: ignore
-    return AgentExecutor.from_agent_and_tools(
-        agent=agent,
-        tools=allowed_tools,
-        handle_parsing_errors=True,
-        # memory=memory,
-        **kwargs,
-    )
-
-
-def load_toolkits_executor(node_type: str, toolkit: BaseToolkit, params: dict):
-    create_function: Callable = toolkits_creator.get_create_function(node_type)
-    if llm := params.get("llm"):
-        return create_function(llm=llm, toolkit=toolkit)
-
-
-def build_prompt_template(prompt, tools):
-    """Build PromptTemplate from ZeroShotPrompt"""
-    prefix = prompt["node"]["template"]["prefix"]["value"]
-    suffix = prompt["node"]["template"]["suffix"]["value"]
-    format_instructions = prompt["node"]["template"]["format_instructions"]["value"]
-
-    tool_strings = "\n".join(
-        [f"{tool['data']['node']['name']}: {tool['data']['node']['description']}" for tool in tools]
-    )
-    tool_names = ", ".join([tool["data"]["node"]["name"] for tool in tools])
-    format_instructions = format_instructions.format(tool_names=tool_names)
-    value = "\n\n".join([prefix, tool_strings, format_instructions, suffix])
-
-    prompt["type"] = "PromptTemplate"
-
-    prompt["node"] = {
-        "template": {
-            "_type": "prompt",
-            "input_variables": {
-                "type": "str",
-                "required": True,
-                "placeholder": "",
-                "list": True,
-                "show": False,
-                "multiline": False,
-            },
-            "output_parser": {
-                "type": "BaseOutputParser",
-                "required": False,
-                "placeholder": "",
-                "list": False,
-                "show": False,
-                "multline": False,
-                "value": None,
-            },
-            "template": {
-                "type": "str",
-                "required": True,
-                "placeholder": "",
-                "list": False,
-                "show": True,
-                "multiline": True,
-                "value": value,
-            },
-            "template_format": {
-                "type": "str",
-                "required": False,
-                "placeholder": "",
-                "list": False,
-                "show": False,
-                "multline": False,
-                "value": "f-string",
-            },
-            "validate_template": {
-                "type": "bool",
-                "required": False,
-                "placeholder": "",
-                "list": False,
-                "show": False,
-                "multline": False,
-                "value": True,
-            },
-        },
-        "description": "Schema to represent a prompt for an LLM.",
-        "base_classes": ["BasePromptTemplate"],
-    }
-
-    return prompt
diff --git a/src/backend/langflow/interface/initialize/utils.py b/src/backend/langflow/interface/initialize/utils.py
deleted file mode 100644
index 0ef76836b70..00000000000
--- a/src/backend/langflow/interface/initialize/utils.py
+++ /dev/null
@@ -1,117 +0,0 @@
-import contextlib
-import json
-from typing import Any, Dict, List
-
-import orjson
-from langchain.agents import ZeroShotAgent
-from langchain.schema import BaseOutputParser, Document
-
-from langflow.services.database.models.base import orjson_dumps
-
-
-def handle_node_type(node_type, class_object, params: Dict):
-    if node_type == "ZeroShotPrompt":
-        params = check_tools_in_params(params)
-        prompt = ZeroShotAgent.create_prompt(**params)
-    elif "MessagePromptTemplate" in node_type:
-        prompt = instantiate_from_template(class_object, params)
-    elif node_type == "ChatPromptTemplate":
-        prompt = class_object.from_messages(**params)
-    elif hasattr(class_object, "from_template") and params.get("template"):
-        prompt = class_object.from_template(template=params.pop("template"))
-    else:
-        prompt = class_object(**params)
-    return params, prompt
-
-
-def check_tools_in_params(params: Dict):
-    if "tools" not in params:
-        params["tools"] = []
-    return params
-
-
-def instantiate_from_template(class_object, params: Dict):
-    from_template_params = {"template": params.pop("prompt", params.pop("template", ""))}
-
-    from_template_params.update(params)
-    if not from_template_params.get("template"):
-        raise ValueError("Prompt template is required")
-    return class_object.from_template(**from_template_params)
-
-
-def handle_format_kwargs(prompt, params: Dict):
-    format_kwargs: Dict[str, Any] = {}
-    for input_variable in prompt.input_variables:
-        if input_variable in params:
-            format_kwargs = handle_variable(params, input_variable, format_kwargs)
-    return format_kwargs
-
-
-def handle_partial_variables(prompt, format_kwargs: Dict):
-    partial_variables = format_kwargs.copy()
-    partial_variables = {key: value for key, value in partial_variables.items() if value}
-    # Remove handle_keys otherwise LangChain raises an error
-    partial_variables.pop("handle_keys", None)
-    if partial_variables and hasattr(prompt, "partial"):
-        return prompt.partial(**partial_variables)
-    return prompt
-
-
-def handle_variable(params: Dict, input_variable: str, format_kwargs: Dict):
-    variable = params[input_variable]
-    if isinstance(variable, str):
-        format_kwargs[input_variable] = variable
-    elif isinstance(variable, BaseOutputParser) and hasattr(variable, "get_format_instructions"):
-        format_kwargs[input_variable] = variable.get_format_instructions()
-    elif is_instance_of_list_or_document(variable):
-        format_kwargs = format_document(variable, input_variable, format_kwargs)
-    if needs_handle_keys(variable):
-        format_kwargs = add_handle_keys(input_variable, format_kwargs)
-    return format_kwargs
-
-
-def is_instance_of_list_or_document(variable):
-    return (
-        isinstance(variable, List)
-        and all(isinstance(item, Document) for item in variable)
-        or isinstance(variable, Document)
-    )
-
-
-def format_document(variable, input_variable: str, format_kwargs: Dict):
-    variable = variable if isinstance(variable, List) else [variable]
-    content = format_content(variable)
-    format_kwargs[input_variable] = content
-    return format_kwargs
-
-
-def format_content(variable):
-    if len(variable) > 1:
-        return "\n".join([item.page_content for item in variable if item.page_content])
-    elif len(variable) == 1:
-        content = variable[0].page_content
-        return try_to_load_json(content)
-    return ""
-
-
-def try_to_load_json(content):
-    with contextlib.suppress(json.JSONDecodeError):
-        content = orjson.loads(content)
-        if isinstance(content, list):
-            content = ",".join([str(item) for item in content])
-        else:
-            content = orjson_dumps(content)
-    return content
-
-
-def needs_handle_keys(variable):
-    return is_instance_of_list_or_document(variable) or (
-        isinstance(variable, BaseOutputParser) and hasattr(variable, "get_format_instructions")
-    )
-
-
-def add_handle_keys(input_variable: str, format_kwargs: Dict):
-    if "handle_keys" not in format_kwargs:
-        format_kwargs["handle_keys"] = []
-    format_kwargs["handle_keys"].append(input_variable)
-    return format_kwargs
diff --git a/src/backend/langflow/interface/initialize/vector_store.py b/src/backend/langflow/interface/initialize/vector_store.py
deleted file mode 100644
index d01688165ed..00000000000
--- a/src/backend/langflow/interface/initialize/vector_store.py
+++ /dev/null
@@ -1,261 +0,0 @@
-import os
-from typing import Any, Callable, Dict, Type
-
-import orjson
-from langchain_community.vectorstores import (
-    FAISS,
-    Chroma,
-    ElasticsearchStore,
-    MongoDBAtlasVectorSearch,
-    Pinecone,
-    Qdrant,
-    SupabaseVectorStore,
-    Weaviate,
-)
-from langchain_core.documents import Document
-
-
-def docs_in_params(params: dict) -> bool:
-    """Check if params has documents OR texts and one of them is not an empty list,
-    If any of them is not an empty list, return True, else return False"""
-    return ("documents" in params and params["documents"]) or ("texts" in params and params["texts"])
-
-
-def initialize_mongodb(class_object: Type[MongoDBAtlasVectorSearch], params: dict):
-    """Initialize mongodb and return the class object"""
-
-    MONGODB_ATLAS_CLUSTER_URI = params.pop("mongodb_atlas_cluster_uri")
-    if not MONGODB_ATLAS_CLUSTER_URI:
-        raise ValueError("Mongodb atlas cluster uri must be provided in the params")
-    import certifi
-    from pymongo import MongoClient
-
-    client: MongoClient = MongoClient(MONGODB_ATLAS_CLUSTER_URI, tlsCAFile=certifi.where())
-    db_name = params.pop("db_name", None)
-    collection_name = params.pop("collection_name", None)
-    if not db_name or not collection_name:
-        raise ValueError("db_name and collection_name must be provided in the params")
-
-    index_name = params.pop("index_name", None)
-    if not index_name:
-        raise ValueError("index_name must be provided in the params")
-
-    collection = client[db_name][collection_name]
-    if not docs_in_params(params):
-        # __init__ requires collection, embedding and index_name
-        init_args = {
-            "collection": collection,
-            "index_name": index_name,
-            "embedding": params.get("embedding"),
-        }
-
-        return class_object(**init_args)
-
-    if "texts" in params:
-        params["documents"] = params.pop("texts")
-
-    params["collection"] = collection
-    params["index_name"] = index_name
-
-    return class_object.from_documents(**params)
-
-
-def initialize_supabase(class_object: Type[SupabaseVectorStore], params: dict):
-    """Initialize supabase and return the class object"""
-    from supabase.client import Client, create_client
-
-    if "supabase_url" not in params or "supabase_service_key" not in params:
-        raise ValueError("Supabase url and service key must be provided in the params")
-    if "texts" in params:
-        params["documents"] = params.pop("texts")
-
-    client_kwargs = {
-        "supabase_url": params.pop("supabase_url"),
-        "supabase_key": params.pop("supabase_service_key"),
-    }
-
-    supabase: Client = create_client(**client_kwargs)
-    if not docs_in_params(params):
-        params.pop("documents", None)
-        params.pop("texts", None)
-        return class_object(client=supabase, **params)
-    # If there are docs in the params, create a new index
-
-    return class_object.from_documents(client=supabase, **params)
-
-
-def initialize_weaviate(class_object: Type[Weaviate], params: dict):
-    """Initialize weaviate and return the class object"""
-    if not docs_in_params(params):
-        import weaviate  # type: ignore
-
-        client_kwargs_json = params.get("client_kwargs", "{}")
-        client_kwargs = orjson.loads(client_kwargs_json)
-        client_params = {
-            "url": params.get("weaviate_url"),
-        }
-        client_params.update(client_kwargs)
-        weaviate_client = weaviate.Client(**client_params)
-
-        new_params = {
-            "client": weaviate_client,
-            "index_name": params.get("index_name"),
-            "text_key": params.get("text_key"),
-        }
-        return class_object(**new_params)
-    # If there are docs in the params, create a new index
-    if "texts" in params:
-        params["documents"] = params.pop("texts")
-
-    return class_object.from_documents(**params)
-
-
-def initialize_faiss(class_object: Type[FAISS], params: dict):
-    """Initialize faiss and return the class object"""
-
-    if not docs_in_params(params):
-        return class_object.load_local
-
-    save_local = params.get("save_local")
-    faiss_index = class_object(**params)
-    if save_local:
-        faiss_index.save_local(folder_path=save_local)
-    return faiss_index
-
-
-def initialize_pinecone(class_object: Type[Pinecone], params: dict):
-    """Initialize pinecone and return the class object"""
-
-    import pinecone  # type: ignore
-
-    pinecone_api_key = params.pop("pinecone_api_key")
-    pinecone_env = params.pop("pinecone_env")
-
-    if pinecone_api_key is None or pinecone_env is None:
-        if os.getenv("PINECONE_API_KEY") is not None:
-            pinecone_api_key = os.getenv("PINECONE_API_KEY")
-        if os.getenv("PINECONE_ENV") is not None:
-            pinecone_env = os.getenv("PINECONE_ENV")
-
-    if pinecone_api_key is None or pinecone_env is None:
-        raise ValueError("Pinecone API key and environment must be provided in the params")
-
-    # initialize pinecone
-    pinecone.init(
-        api_key=pinecone_api_key,  # find at app.pinecone.io
-        environment=pinecone_env,  # next to api key in console
-    )
-
-    # If there are no docs in the params, return an existing index
-    # but first remove any texts or docs keys from the params
-    if not docs_in_params(params):
-        existing_index_params = {
-            "embedding": params.pop("embedding"),
-        }
-        if "index_name" in params:
-            existing_index_params["index_name"] = params.pop("index_name")
-        if "namespace" in params:
-            existing_index_params["namespace"] = params.pop("namespace")
-
-        return class_object.from_existing_index(**existing_index_params)
-    # If there are docs in the params, create a new index
-    if "texts" in params:
-        params["documents"] = params.pop("texts")
-    return class_object.from_documents(**params)
-
-
-def initialize_chroma(class_object: Type[Chroma], params: dict):
-    """Initialize a ChromaDB object from the params"""
-    if (  # type: ignore
-        "chroma_server_host" in params or "chroma_server_http_port" in params
-    ):
-        import chromadb  # type: ignore
-
-        settings_params = {
-            key: params[key] for key, value_ in params.items() if key.startswith("chroma_server_") and value_
-        }
-        chroma_settings = chromadb.config.Settings(**settings_params)
-        params["client_settings"] = chroma_settings
-    else:
-        # remove all chroma_server_ keys from params
-        params = {key: value for key, value in params.items() if not key.startswith("chroma_server_")}
-
-    persist = params.pop("persist", False)
-    if not docs_in_params(params):
-        params.pop("documents", None)
-        params.pop("texts", None)
-        params["embedding_function"] = params.pop("embedding")
-        chromadb_instance = class_object(**params)
-    else:
-        if "texts" in params:
-            params["documents"] = params.pop("texts")
-        for doc in params["documents"]:
-            if not isinstance(doc, Document):
-                # remove any non-Document objects from the list
-                params["documents"].remove(doc)
-                continue
-            if doc.metadata is None:
-                doc.metadata = {}
-            for key, value in doc.metadata.items():
-                if value is None:
-                    doc.metadata[key] = ""
-
-        chromadb_instance = class_object.from_documents(**params)
-    if persist:
-        chromadb_instance.persist()
-    return chromadb_instance
-
-
-def initialize_qdrant(class_object: Type[Qdrant], params: dict):
-    if not docs_in_params(params):
-        if "location" not in params and "api_key" not in params:
-            raise ValueError("Location and API key must be provided in the params")
-        from qdrant_client import QdrantClient
-
-        client_params = {
-            "location": params.pop("location"),
-            "api_key": params.pop("api_key"),
-        }
-        lc_params = {
-            "collection_name": params.pop("collection_name"),
-            "embeddings": params.pop("embedding"),
-        }
-        client = QdrantClient(**client_params)
-
-        return class_object(client=client, **lc_params)
-
-    return class_object.from_documents(**params)
-
-
-def initialize_elasticsearch(class_object: Type[ElasticsearchStore], params: dict):
-    """Initialize elastic and return the class object"""
-    if "index_name" not in params:
-        raise ValueError("Elasticsearch Index must be provided in the params")
-    if "es_url" not in params:
-        raise ValueError("Elasticsearch URL must be provided in the params")
-    if not docs_in_params(params):
-        existing_index_params = {
-            "embedding": params.pop("embedding"),
-        }
-        if "index_name" in params:
-            existing_index_params["index_name"] = params.pop("index_name")
-        if "es_url" in params:
-            existing_index_params["es_url"] = params.pop("es_url")
-
-        return class_object.from_existing_index(**existing_index_params)
-    # If there are docs in the params, create a new index
-    if "texts" in params:
-        params["documents"] = params.pop("texts")
-    return class_object.from_documents(**params)
-
-
-vecstore_initializer: Dict[str, Callable[[Type[Any], dict], Any]] = {
-    "Pinecone": initialize_pinecone,
-    "Chroma": initialize_chroma,
-    "Qdrant": initialize_qdrant,
-    "Weaviate": initialize_weaviate,
-    "ElasticsearchStore": initialize_elasticsearch,
-    "FAISS": initialize_faiss,
-    "SupabaseVectorStore": initialize_supabase,
-    "MongoDBAtlasVectorSearch": initialize_mongodb,
-}
diff --git a/src/backend/langflow/interface/llms/__init__.py b/src/backend/langflow/interface/llms/__init__.py
deleted file mode 100644
index c5d7186fb46..00000000000
--- a/src/backend/langflow/interface/llms/__init__.py
+++ /dev/null
@@ -1,3 +0,0 @@
-from langflow.interface.llms.base import LLMCreator
-
-__all__ = ["LLMCreator"]
diff --git a/src/backend/langflow/interface/llms/base.py b/src/backend/langflow/interface/llms/base.py
deleted file mode 100644
index 4b0654a1a27..00000000000
--- a/src/backend/langflow/interface/llms/base.py
+++ /dev/null
@@ -1,45 +0,0 @@
-from typing import Dict, List, Optional, Type
-
-from langflow.interface.base import LangChainTypeCreator
-from langflow.interface.custom_lists import llm_type_to_cls_dict
-from langflow.services.deps import get_settings_service
-
-from langflow.template.frontend_node.llms import LLMFrontendNode
-from loguru import logger
-from langflow.utils.util import build_template_from_class
-
-
-class LLMCreator(LangChainTypeCreator):
-    type_name: str = "llms"
-
-    @property
-    def frontend_node_class(self) -> Type[LLMFrontendNode]:
-        return LLMFrontendNode
-
-    @property
-    def type_to_loader_dict(self) -> Dict:
-        if self.type_dict is None:
-            self.type_dict = llm_type_to_cls_dict
-        return self.type_dict
-
-    def get_signature(self, name: str) -> Optional[Dict]:
-        """Get the signature of an llm."""
-        try:
-            return build_template_from_class(name, llm_type_to_cls_dict)
-        except ValueError as exc:
-            raise ValueError("LLM not found") from exc
-
-        except AttributeError as exc:
-            logger.error(f"LLM {name} not loaded: {exc}")
-            return None
-
-    def to_list(self) -> List[str]:
-        settings_service = get_settings_service()
-        return [
-            llm.__name__
-            for llm in self.type_to_loader_dict.values()
-            if llm.__name__ in settings_service.settings.LLMS or settings_service.settings.DEV
-        ]
-
-
-llm_creator = LLMCreator()
diff --git a/src/backend/langflow/interface/memories/__init__.py b/src/backend/langflow/interface/memories/__init__.py
deleted file mode 100644
index 845eb29fe87..00000000000
--- a/src/backend/langflow/interface/memories/__init__.py
+++ /dev/null
@@ -1,3 +0,0 @@
-from langflow.interface.memories.base import MemoryCreator
-
-__all__ = ["MemoryCreator"]
diff --git a/src/backend/langflow/interface/memories/base.py b/src/backend/langflow/interface/memories/base.py
deleted file mode 100644
index 7508d6d6450..00000000000
--- a/src/backend/langflow/interface/memories/base.py
+++ /dev/null
@@ -1,60 +0,0 @@
-from typing import ClassVar, Dict, List, Optional, Type
-
-from langflow.interface.base import LangChainTypeCreator
-from langflow.interface.custom_lists import memory_type_to_cls_dict
-from langflow.services.deps import get_settings_service
-
-from langflow.template.frontend_node.base import FrontendNode
-from langflow.template.frontend_node.memories import MemoryFrontendNode
-from loguru import logger
-from langflow.utils.util import build_template_from_class, build_template_from_method
-from langflow.custom.customs import get_custom_nodes
-
-
-class MemoryCreator(LangChainTypeCreator):
-    type_name: str = "memories"
-
-    from_method_nodes: ClassVar[Dict] = {
-        "ZepChatMessageHistory": "__init__",
-        "SQLiteEntityStore": "__init__",
-    }
-
-    @property
-    def frontend_node_class(self) -> Type[FrontendNode]:
-        """The class type of the FrontendNode created in frontend_node."""
-        return MemoryFrontendNode
-
-    @property
-    def type_to_loader_dict(self) -> Dict:
-        if self.type_dict is None:
-            self.type_dict = memory_type_to_cls_dict
-        return self.type_dict
-
-    def get_signature(self, name: str) -> Optional[Dict]:
-        """Get the signature of a memory."""
-        try:
-            if name in get_custom_nodes(self.type_name).keys():
-                return get_custom_nodes(self.type_name)[name]
-            elif name in self.from_method_nodes:
-                return build_template_from_method(
-                    name,
-                    type_to_cls_dict=memory_type_to_cls_dict,
-                    method_name=self.from_method_nodes[name],
-                )
-            return build_template_from_class(name, memory_type_to_cls_dict)
-        except ValueError as exc:
-            raise ValueError("Memory not found") from exc
-        except AttributeError as exc:
-            logger.error(f"Memory {name} not loaded: {exc}")
-            return None
-
-    def to_list(self) -> List[str]:
-        settings_service = get_settings_service()
-        return [
-            memory.__name__
-            for memory in self.type_to_loader_dict.values()
-            if memory.__name__ in settings_service.settings.MEMORIES or settings_service.settings.DEV
-        ]
-
-
-memory_creator = MemoryCreator()
diff --git a/src/backend/langflow/interface/output_parsers/base.py b/src/backend/langflow/interface/output_parsers/base.py
deleted file mode 100644
index 3ae1e9d7b55..00000000000
--- a/src/backend/langflow/interface/output_parsers/base.py
+++ /dev/null
@@ -1,64 +0,0 @@
-from typing import ClassVar, Dict, List, Optional, Type
-
-from langchain import output_parsers
-
-from langflow.interface.base import LangChainTypeCreator
-from langflow.interface.importing.utils import import_class
-from langflow.services.deps import get_settings_service
-
-from langflow.template.frontend_node.output_parsers import OutputParserFrontendNode
-from loguru import logger
-from langflow.utils.util import build_template_from_class, build_template_from_method
-
-
-class OutputParserCreator(LangChainTypeCreator):
-    type_name: str = "output_parsers"
-    from_method_nodes: ClassVar[Dict] = {
-        "StructuredOutputParser": "from_response_schemas",
-    }
-
-    @property
-    def frontend_node_class(self) -> Type[OutputParserFrontendNode]:
-        return OutputParserFrontendNode
-
-    @property
-    def type_to_loader_dict(self) -> Dict:
-        if self.type_dict is None:
-            settings_service = get_settings_service()
-            self.type_dict = {
-                output_parser_name: import_class(f"langchain.output_parsers.{output_parser_name}")
-                # if output_parser_name is not lower case it is a class
-                for output_parser_name in output_parsers.__all__
-            }
-            self.type_dict = {
-                name: output_parser
-                for name, output_parser in self.type_dict.items()
-                if name in settings_service.settings.OUTPUT_PARSERS or settings_service.settings.DEV
-            }
-        return self.type_dict
-
-    def get_signature(self, name: str) -> Optional[Dict]:
-        try:
-            if name in self.from_method_nodes:
-                return build_template_from_method(
-                    name,
-                    type_to_cls_dict=self.type_to_loader_dict,
-                    method_name=self.from_method_nodes[name],
-                )
-            else:
-                return build_template_from_class(
-                    name,
-                    type_to_cls_dict=self.type_to_loader_dict,
-                )
-        except ValueError as exc:
-            # raise ValueError("OutputParser not found") from exc
-            logger.error(f"OutputParser {name} not found: {exc}")
-        except AttributeError as exc:
-            logger.error(f"OutputParser {name} not loaded: {exc}")
-        return None
-
-    def to_list(self) -> List[str]:
-        return list(self.type_to_loader_dict.keys())
-
-
-output_parser_creator = OutputParserCreator()
diff --git a/src/backend/langflow/interface/prompts/__init__.py b/src/backend/langflow/interface/prompts/__init__.py
deleted file mode 100644
index 2a81e8bf0cf..00000000000
--- a/src/backend/langflow/interface/prompts/__init__.py
+++ /dev/null
@@ -1,3 +0,0 @@
-from langflow.interface.prompts.base import PromptCreator
-
-__all__ = ["PromptCreator"]
diff --git a/src/backend/langflow/interface/prompts/base.py b/src/backend/langflow/interface/prompts/base.py
deleted file mode 100644
index 164ea2b106b..00000000000
--- a/src/backend/langflow/interface/prompts/base.py
+++ /dev/null
@@ -1,66 +0,0 @@
-from typing import Dict, List, Optional, Type
-
-from langchain import prompts
-
-from langflow.custom.customs import get_custom_nodes
-from langflow.interface.base import LangChainTypeCreator
-from langflow.interface.importing.utils import import_class
-from langflow.services.deps import get_settings_service
-
-from langflow.template.frontend_node.prompts import PromptFrontendNode
-from loguru import logger
-from langflow.utils.util import build_template_from_class
-
-
-class PromptCreator(LangChainTypeCreator):
-    type_name: str = "prompts"
-
-    @property
-    def frontend_node_class(self) -> Type[PromptFrontendNode]:
-        return PromptFrontendNode
-
-    @property
-    def type_to_loader_dict(self) -> Dict:
-        settings_service = get_settings_service()
-        if self.type_dict is None:
-            self.type_dict = {
-                prompt_name: import_class(f"langchain.prompts.{prompt_name}")
-                # if prompt_name is not lower case it is a class
-                for prompt_name in prompts.__all__
-            }
-            # Merge CUSTOM_PROMPTS into self.type_dict
-            from langflow.interface.prompts.custom import CUSTOM_PROMPTS
-
-            self.type_dict.update(CUSTOM_PROMPTS)
-            # Now filter according to settings.prompts
-            self.type_dict = {
-                name: prompt
-                for name, prompt in self.type_dict.items()
-                if name in settings_service.settings.PROMPTS or settings_service.settings.DEV
-            }
-        return self.type_dict
-
-    def get_signature(self, name: str) -> Optional[Dict]:
-        try:
-            if name in get_custom_nodes(self.type_name).keys():
-                return get_custom_nodes(self.type_name)[name]
-            return build_template_from_class(name, self.type_to_loader_dict)
-        except ValueError as exc:
-            # raise ValueError("Prompt not found") from exc
-            logger.error(f"Prompt {name} not found: {exc}")
-        except AttributeError as exc:
-            logger.error(f"Prompt {name} not loaded: {exc}")
-        return None
-
-    def to_list(self) -> List[str]:
-        custom_prompts = get_custom_nodes("prompts")
-        # library_prompts = [
-        #     prompt.__annotations__["return"].__name__
-        #     for prompt in self.type_to_loader_dict.values()
-        #     if prompt.__annotations__["return"].__name__ in settings.prompts
-        #     or settings.dev
-        # ]
-        return list(self.type_to_loader_dict.keys()) + list(custom_prompts.keys())
-
-
-prompt_creator = PromptCreator()
diff --git a/src/backend/langflow/interface/prompts/custom.py b/src/backend/langflow/interface/prompts/custom.py
deleted file mode 100644
index 202fbe40941..00000000000
--- a/src/backend/langflow/interface/prompts/custom.py
+++ /dev/null
@@ -1,67 +0,0 @@
-from typing import Dict, List, Optional, Type
-
-from langchain.prompts import PromptTemplate
-from pydantic.v1 import root_validator
-
-from langflow.interface.utils import extract_input_variables_from_prompt
-
-# Steps to create a BaseCustomPrompt:
-# 1. Create a prompt template that endes with:
-#    Current conversation:
-#     {history}
-#    Human: {input}
-#    {ai_prefix}:
-# 2. Create a class that inherits from BaseCustomPrompt
-# 3. Add the following class attributes:
-#    template: str = ""
-#    description: Optional[str]
-#    ai_prefix: Optional[str] = "{ai_prefix}"
-# 3.1. The ai_prefix should be a value in input_variables
-# SeriesCharacterPrompt is a working example
-# If used in a LLMChain, with a Memory module, it will work as expected
-# We should consider creating ConversationalChains that expose custom parameters
-# That way it will be easier to create custom prompts
-
-
-class BaseCustomPrompt(PromptTemplate):
-    template: str = ""
-    description: Optional[str]
-    ai_prefix: Optional[str]
-
-    @root_validator(pre=False)
-    def build_template(cls, values):
-        format_dict = {}
-        ai_prefix_format_dict = {}
-        for key in values.get("input_variables", []):
-            new_value = values.get(key, f"{{{key}}}")
-            format_dict[key] = new_value
-            if key in values["ai_prefix"]:
-                ai_prefix_format_dict[key] = new_value
-
-        values["ai_prefix"] = values["ai_prefix"].format(**ai_prefix_format_dict)
-        values["template"] = values["template"].format(**format_dict)
-
-        values["template"] = values["template"]
-        values["input_variables"] = extract_input_variables_from_prompt(values["template"])
-        return values
-
-
-class SeriesCharacterPrompt(BaseCustomPrompt):
-    # Add a very descriptive description for the prompt generator
-    description: Optional[str] = "A prompt that asks the AI to act like a character from a series."
-    character: str
-    series: str
-    template: str = """I want you to act like {character} from {series}.
-I want you to respond and answer like {character}. do not write any explanations. only answer like {character}.
-You must know all of the knowledge of {character}.
-
-Current conversation:
-{history}
-Human: {input}
-{character}:"""
-
-    ai_prefix: str = "{character}"
-    input_variables: List[str] = ["character", "series"]
-
-
-CUSTOM_PROMPTS: Dict[str, Type[BaseCustomPrompt]] = {"SeriesCharacterPrompt": SeriesCharacterPrompt}
diff --git a/src/backend/langflow/interface/retrievers/base.py b/src/backend/langflow/interface/retrievers/base.py
deleted file mode 100644
index a6813e76c07..00000000000
--- a/src/backend/langflow/interface/retrievers/base.py
+++ /dev/null
@@ -1,59 +0,0 @@
-from typing import Any, ClassVar, Dict, List, Optional, Type
-
-from langchain_community import retrievers
-from langflow.interface.base import LangChainTypeCreator
-from langflow.interface.importing.utils import import_class
-from langflow.services.deps import get_settings_service
-from langflow.template.frontend_node.retrievers import RetrieverFrontendNode
-from langflow.utils.util import build_template_from_class, build_template_from_method
-from loguru import logger
-
-
-class RetrieverCreator(LangChainTypeCreator):
-    type_name: str = "retrievers"
-
-    from_method_nodes: ClassVar[Dict] = {
-        "MultiQueryRetriever": "from_llm",
-        "ZepRetriever": "__init__",
-    }
-
-    @property
-    def frontend_node_class(self) -> Type[RetrieverFrontendNode]:
-        return RetrieverFrontendNode
-
-    @property
-    def type_to_loader_dict(self) -> Dict:
-        if self.type_dict is None:
-            self.type_dict: dict[str, Any] = {
-                retriever_name: import_class(f"langchain_community.retrievers.{retriever_name}")
-                for retriever_name in retrievers.__all__
-            }
-        return self.type_dict
-
-    def get_signature(self, name: str) -> Optional[Dict]:
-        """Get the signature of an embedding."""
-        try:
-            if name in self.from_method_nodes:
-                return build_template_from_method(
-                    name,
-                    type_to_cls_dict=self.type_to_loader_dict,
-                    method_name=self.from_method_nodes[name],
-                )
-            else:
-                return build_template_from_class(name, type_to_cls_dict=self.type_to_loader_dict)
-        except ValueError as exc:
-            raise ValueError(f"Retriever {name} not found") from exc
-        except AttributeError as exc:
-            logger.error(f"Retriever {name} not loaded: {exc}")
-            return None
-
-    def to_list(self) -> List[str]:
-        settings_service = get_settings_service()
-        return [
-            retriever
-            for retriever in self.type_to_loader_dict.keys()
-            if retriever in settings_service.settings.RETRIEVERS or settings_service.settings.DEV
-        ]
-
-
-retriever_creator = RetrieverCreator()
diff --git a/src/backend/langflow/interface/run.py b/src/backend/langflow/interface/run.py
deleted file mode 100644
index 94cd922eb08..00000000000
--- a/src/backend/langflow/interface/run.py
+++ /dev/null
@@ -1,67 +0,0 @@
-from typing import Dict, Optional, Tuple, Union
-from uuid import UUID
-
-from loguru import logger
-
-from langflow.graph import Graph
-
-
-async def build_sorted_vertices(data_graph, user_id: Optional[Union[str, UUID]] = None) -> Tuple[Graph, Dict]:
-    """
-    Build langchain object from data_graph.
-    """
-
-    logger.debug("Building langchain object")
-    graph = Graph.from_payload(data_graph)
-    sorted_vertices = graph.topological_sort()
-    artifacts = {}
-    for vertex in sorted_vertices:
-        await vertex.build(user_id=user_id)
-        if vertex.artifacts:
-            artifacts.update(vertex.artifacts)
-    return graph, artifacts
-
-
-def get_memory_key(langchain_object):
-    """
-    Given a LangChain object, this function retrieves the current memory key from the object's memory attribute.
-    It then checks if the key exists in a dictionary of known memory keys and returns the corresponding key,
-    or None if the current key is not recognized.
-    """
-    mem_key_dict = {
-        "chat_history": "history",
-        "history": "chat_history",
-    }
-    # Check if memory_key attribute exists
-    if hasattr(langchain_object.memory, "memory_key"):
-        memory_key = langchain_object.memory.memory_key
-        return mem_key_dict.get(memory_key)
-    else:
-        return None  # or some other default value or action
-
-
-def update_memory_keys(langchain_object, possible_new_mem_key):
-    """
-    Given a LangChain object and a possible new memory key, this function updates the input and output keys in the
-    object's memory attribute to exclude the current memory key and the possible new key. It then sets the memory key
-    to the possible new key.
-    """
-    input_key = [
-        key
-        for key in langchain_object.input_keys
-        if key not in [langchain_object.memory.memory_key, possible_new_mem_key]
-    ][0]
-
-    output_key = [
-        key
-        for key in langchain_object.output_keys
-        if key not in [langchain_object.memory.memory_key, possible_new_mem_key]
-    ][0]
-
-    keys = [input_key, output_key, possible_new_mem_key]
-    attrs = ["input_key", "output_key", "memory_key"]
-    for key, attr in zip(keys, attrs):
-        try:
-            setattr(langchain_object.memory, attr, key)
-        except ValueError as exc:
-            logger.debug(f"{langchain_object.memory} has no attribute {attr} ({exc})")
diff --git a/src/backend/langflow/interface/text_splitters/__init__.py b/src/backend/langflow/interface/text_splitters/__init__.py
deleted file mode 100644
index 4bb9dd1b012..00000000000
--- a/src/backend/langflow/interface/text_splitters/__init__.py
+++ /dev/null
@@ -1,3 +0,0 @@
-from langflow.interface.text_splitters.base import TextSplitterCreator
-
-__all__ = ["TextSplitterCreator"]
diff --git a/src/backend/langflow/interface/text_splitters/base.py b/src/backend/langflow/interface/text_splitters/base.py
deleted file mode 100644
index 29c77a12fe0..00000000000
--- a/src/backend/langflow/interface/text_splitters/base.py
+++ /dev/null
@@ -1,42 +0,0 @@
-from typing import Dict, List, Optional, Type
-
-from langflow.interface.base import LangChainTypeCreator
-from langflow.services.deps import get_settings_service
-from langflow.template.frontend_node.textsplitters import TextSplittersFrontendNode
-from langflow.interface.custom_lists import textsplitter_type_to_cls_dict
-
-from loguru import logger
-from langflow.utils.util import build_template_from_class
-
-
-class TextSplitterCreator(LangChainTypeCreator):
-    type_name: str = "textsplitters"
-
-    @property
-    def frontend_node_class(self) -> Type[TextSplittersFrontendNode]:
-        return TextSplittersFrontendNode
-
-    @property
-    def type_to_loader_dict(self) -> Dict:
-        return textsplitter_type_to_cls_dict
-
-    def get_signature(self, name: str) -> Optional[Dict]:
-        """Get the signature of a text splitter."""
-        try:
-            return build_template_from_class(name, textsplitter_type_to_cls_dict)
-        except ValueError as exc:
-            raise ValueError(f"Text Splitter {name} not found") from exc
-        except AttributeError as exc:
-            logger.error(f"Text Splitter {name} not loaded: {exc}")
-            return None
-
-    def to_list(self) -> List[str]:
-        settings_service = get_settings_service()
-        return [
-            textsplitter.__name__
-            for textsplitter in self.type_to_loader_dict.values()
-            if textsplitter.__name__ in settings_service.settings.TEXTSPLITTERS or settings_service.settings.DEV
-        ]
-
-
-textsplitter_creator = TextSplitterCreator()
diff --git a/src/backend/langflow/interface/toolkits/base.py b/src/backend/langflow/interface/toolkits/base.py
deleted file mode 100644
index 7c57579d11d..00000000000
--- a/src/backend/langflow/interface/toolkits/base.py
+++ /dev/null
@@ -1,70 +0,0 @@
-from typing import Callable, Dict, List, Optional
-
-from langchain.agents import agent_toolkits
-
-from langflow.interface.base import LangChainTypeCreator
-from langflow.interface.importing.utils import import_class, import_module
-from langflow.services.deps import get_settings_service
-
-from loguru import logger
-from langflow.utils.util import build_template_from_class
-
-
-class ToolkitCreator(LangChainTypeCreator):
-    type_name: str = "toolkits"
-    all_types: List[str] = agent_toolkits.__all__
-    create_functions: Dict = {
-        "JsonToolkit": [],
-        "SQLDatabaseToolkit": [],
-        "OpenAPIToolkit": ["create_openapi_agent"],
-        "VectorStoreToolkit": [
-            "create_vectorstore_agent",
-            "create_vectorstore_router_agent",
-            "VectorStoreInfo",
-        ],
-        "ZapierToolkit": [],
-        "PandasToolkit": ["create_pandas_dataframe_agent"],
-        "CSVToolkit": ["create_csv_agent"],
-    }
-
-    @property
-    def type_to_loader_dict(self) -> Dict:
-        if self.type_dict is None:
-            settings_service = get_settings_service()
-            self.type_dict = {
-                toolkit_name: import_class(f"langchain.agents.agent_toolkits.{toolkit_name}")
-                # if toolkit_name is not lower case it is a class
-                for toolkit_name in agent_toolkits.__all__
-                if not toolkit_name.islower() and toolkit_name in settings_service.settings.TOOLKITS
-            }
-
-        return self.type_dict
-
-    def get_signature(self, name: str) -> Optional[Dict]:
-        try:
-            template = build_template_from_class(name, self.type_to_loader_dict)
-            # add Tool to base_classes
-            if "toolkit" in name.lower() and template:
-                template["base_classes"].append("Tool")
-            return template
-        except ValueError as exc:
-            raise ValueError("Toolkit not found") from exc
-        except AttributeError as exc:
-            logger.error(f"Toolkit {name} not loaded: {exc}")
-            return None
-
-    def to_list(self) -> List[str]:
-        return list(self.type_to_loader_dict.keys())
-
-    def get_create_function(self, name: str) -> Callable:
-        if loader_name := self.create_functions.get(name):
-            return import_module(f"from langchain.agents.agent_toolkits import {loader_name[0]}")
-        else:
-            raise ValueError("Toolkit not found")
-
-    def has_create_function(self, name: str) -> bool:
-        # check if the function list is not empty
-        return bool(self.create_functions.get(name, None))
-
-
-toolkits_creator = ToolkitCreator()
diff --git a/src/backend/langflow/interface/tools/__init__.py b/src/backend/langflow/interface/tools/__init__.py
deleted file mode 100644
index 148892e90aa..00000000000
--- a/src/backend/langflow/interface/tools/__init__.py
+++ /dev/null
@@ -1,3 +0,0 @@
-from langflow.interface.tools.base import ToolCreator
-
-__all__ = ["ToolCreator"]
diff --git a/src/backend/langflow/interface/tools/base.py b/src/backend/langflow/interface/tools/base.py
deleted file mode 100644
index 875915a5856..00000000000
--- a/src/backend/langflow/interface/tools/base.py
+++ /dev/null
@@ -1,180 +0,0 @@
-from typing import Dict, List, Optional
-
-from langchain.agents.load_tools import (
-    _EXTRA_LLM_TOOLS,
-    _EXTRA_OPTIONAL_TOOLS,
-    _LLM_TOOLS,
-)
-
-from langflow.custom import customs
-from langflow.interface.base import LangChainTypeCreator
-from langflow.interface.tools.constants import (
-    ALL_TOOLS_NAMES,
-    CUSTOM_TOOLS,
-    FILE_TOOLS,
-    OTHER_TOOLS,
-)
-from langflow.interface.tools.util import get_tool_params
-from langflow.services.deps import get_settings_service
-
-from langflow.template.field.base import TemplateField
-from langflow.template.template.base import Template
-from langflow.utils import util
-from langflow.utils.util import build_template_from_class
-from langflow.utils.logger import logger
-
-TOOL_INPUTS = {
-    "str": TemplateField(
-        field_type="str",
-        required=True,
-        is_list=False,
-        show=True,
-        placeholder="",
-        value="",
-    ),
-    "llm": TemplateField(field_type="BaseLanguageModel", required=True, is_list=False, show=True),
-    "func": TemplateField(
-        field_type="Callable",
-        required=True,
-        is_list=False,
-        show=True,
-        multiline=True,
-    ),
-    "code": TemplateField(
-        field_type="str",
-        required=True,
-        is_list=False,
-        show=True,
-        value="",
-        multiline=True,
-    ),
-    "path": TemplateField(
-        field_type="file",
-        required=True,
-        is_list=False,
-        show=True,
-        value="",
-        file_types=[".json", ".yaml", ".yml"],
-    ),
-}
-
-
-class ToolCreator(LangChainTypeCreator):
-    type_name: str = "tools"
-    tools_dict: Optional[Dict] = None
-
-    @property
-    def type_to_loader_dict(self) -> Dict:
-        settings_service = get_settings_service()
-        if self.tools_dict is None:
-            all_tools = {}
-
-            for tool, tool_fcn in ALL_TOOLS_NAMES.items():
-                try:
-                    tool_params = get_tool_params(tool_fcn)
-                except Exception:
-                    logger.error(f"Error getting params for tool {tool}")
-                    continue
-
-                tool_name = tool_params.get("name") or tool
-
-                if tool_name in settings_service.settings.TOOLS or settings_service.settings.DEV:
-                    if tool_name == "JsonSpec":
-                        tool_params["path"] = tool_params.pop("dict_")  # type: ignore
-                    all_tools[tool_name] = {
-                        "type": tool,
-                        "params": tool_params,
-                        "fcn": tool_fcn,
-                    }
-
-            self.tools_dict = all_tools
-
-        return self.tools_dict
-
-    def get_signature(self, name: str) -> Optional[Dict]:
-        """Get the signature of a tool."""
-
-        base_classes = ["Tool", "BaseTool"]
-        fields = []
-        params = []
-        tool_params = {}
-
-        # Raise error if name is not in tools
-        if name not in self.type_to_loader_dict.keys():
-            raise ValueError("Tool not found")
-
-        tool_type: str = self.type_to_loader_dict[name]["type"]  # type: ignore
-
-        # if tool_type in _BASE_TOOLS.keys():
-        #     params = []
-        if tool_type in _LLM_TOOLS.keys():
-            params = ["llm"]
-        elif tool_type in _EXTRA_LLM_TOOLS.keys():
-            extra_keys = _EXTRA_LLM_TOOLS[tool_type][1]
-            params = ["llm"] + extra_keys
-        elif tool_type in _EXTRA_OPTIONAL_TOOLS.keys():
-            extra_keys = _EXTRA_OPTIONAL_TOOLS[tool_type][1]
-            params = extra_keys
-        # elif tool_type == "Tool":
-        #     params = ["name", "description", "func"]
-        elif tool_type in CUSTOM_TOOLS:
-            # Get custom tool params
-            params = self.type_to_loader_dict[name]["params"]  # type: ignore
-            base_classes = ["Callable"]
-            if node := customs.get_custom_nodes("tools").get(tool_type):
-                return node
-        elif tool_type in FILE_TOOLS:
-            params = self.type_to_loader_dict[name]["params"]  # type: ignore
-            base_classes += [name]
-        elif tool_type in OTHER_TOOLS:
-            tool_dict = build_template_from_class(tool_type, OTHER_TOOLS)
-            fields = tool_dict["template"]
-
-            # _type is the only key in fields
-            # return None
-            if len(fields) == 1 and "_type" in fields:
-                return None
-
-            # Pop unnecessary fields and add name
-            fields.pop("_type")  # type: ignore
-            fields.pop("return_direct", None)  # type: ignore
-            fields.pop("verbose", None)  # type: ignore
-
-            tool_params = {
-                "name": fields.pop("name")["value"],  # type: ignore
-                "description": fields.pop("description")["value"],  # type: ignore
-            }
-
-            fields = [
-                TemplateField(name=name, field_type=field["type"], **field)
-                for name, field in fields.items()  # type: ignore
-            ]
-            base_classes += tool_dict["base_classes"]
-
-        # Copy the field and add the name
-        for param in params:
-            field = TOOL_INPUTS.get(param, TOOL_INPUTS["str"]).copy()
-            field.name = param
-            field.advanced = False
-            if param == "aiosession":
-                field.show = False
-                field.required = False
-
-            fields.append(field)
-
-        template = Template(fields=fields, type_name=tool_type)
-
-        tool_params = {**tool_params, **self.type_to_loader_dict[name]["params"]}
-        return {
-            "template": util.format_dict(template.to_dict()),
-            **tool_params,
-            "base_classes": base_classes,
-        }
-
-    def to_list(self) -> List[str]:
-        """List all load tools"""
-
-        return list(self.type_to_loader_dict.keys())
-
-
-tool_creator = ToolCreator()
diff --git a/src/backend/langflow/interface/tools/constants.py b/src/backend/langflow/interface/tools/constants.py
deleted file mode 100644
index 0ac37a0a435..00000000000
--- a/src/backend/langflow/interface/tools/constants.py
+++ /dev/null
@@ -1,25 +0,0 @@
-from langchain import tools
-from langchain.agents import Tool
-from langchain.agents.load_tools import _BASE_TOOLS, _EXTRA_LLM_TOOLS, _EXTRA_OPTIONAL_TOOLS, _LLM_TOOLS
-from langchain.tools.json.tool import JsonSpec
-from langflow.interface.importing.utils import import_class
-from langflow.interface.tools.custom import PythonFunction, PythonFunctionTool
-
-FILE_TOOLS = {"JsonSpec": JsonSpec}
-CUSTOM_TOOLS = {
-    "Tool": Tool,
-    "PythonFunctionTool": PythonFunctionTool,
-    "PythonFunction": PythonFunction,
-}
-
-OTHER_TOOLS = {tool: import_class(f"langchain_community.tools.{tool}") for tool in tools.__all__}
-
-ALL_TOOLS_NAMES = {
-    **_BASE_TOOLS,
-    **_LLM_TOOLS,  # type: ignore
-    **{k: v[0] for k, v in _EXTRA_LLM_TOOLS.items()},  # type: ignore
-    **{k: v[0] for k, v in _EXTRA_OPTIONAL_TOOLS.items()},
-    **CUSTOM_TOOLS,
-    **FILE_TOOLS,  # type: ignore
-    **OTHER_TOOLS,
-}
diff --git a/src/backend/langflow/interface/tools/custom.py b/src/backend/langflow/interface/tools/custom.py
deleted file mode 100644
index 73f5842df86..00000000000
--- a/src/backend/langflow/interface/tools/custom.py
+++ /dev/null
@@ -1,50 +0,0 @@
-from typing import Callable, Optional
-from langflow.interface.importing.utils import get_function
-
-from pydantic.v1 import BaseModel, validator
-
-from langflow.utils import validate
-from langchain.agents.tools import Tool
-
-
-class Function(BaseModel):
-    code: str
-    function: Optional[Callable] = None
-    imports: Optional[str] = None
-
-    # Eval code and store the function
-    def __init__(self, **data):
-        super().__init__(**data)
-
-    # Validate the function
-    @validator("code")
-    def validate_func(cls, v):
-        try:
-            validate.eval_function(v)
-        except Exception as e:
-            raise e
-
-        return v
-
-    def get_function(self):
-        """Get the function"""
-        function_name = validate.extract_function_name(self.code)
-
-        return validate.create_function(self.code, function_name)
-
-
-class PythonFunctionTool(Function, Tool):
-    name: str = "Custom Tool"
-    description: str
-    code: str
-
-    def ___init__(self, name: str, description: str, code: str):
-        self.name = name
-        self.description = description
-        self.code = code
-        self.func = get_function(self.code)
-        super().__init__(name=name, description=description, func=self.func)
-
-
-class PythonFunction(Function):
-    code: str
diff --git a/src/backend/langflow/interface/tools/util.py b/src/backend/langflow/interface/tools/util.py
deleted file mode 100644
index 7c8020aa9ab..00000000000
--- a/src/backend/langflow/interface/tools/util.py
+++ /dev/null
@@ -1,100 +0,0 @@
-import ast
-import inspect
-import textwrap
-from typing import Dict, Union
-
-from langchain.agents.tools import Tool
-
-
-def get_func_tool_params(func, **kwargs) -> Union[Dict, None]:
-    tree = ast.parse(textwrap.dedent(inspect.getsource(func)))
-
-    # Iterate over the statements in the abstract syntax tree
-    for node in ast.walk(tree):
-        # Find the first return statement
-        if isinstance(node, ast.Return):
-            tool = node.value
-            if isinstance(tool, ast.Call):
-                if isinstance(tool.func, ast.Name) and tool.func.id == "Tool":
-                    if tool.keywords:
-                        tool_params = {}
-                        for keyword in tool.keywords:
-                            if keyword.arg == "name":
-                                try:
-                                    tool_params["name"] = ast.literal_eval(keyword.value)
-                                except ValueError:
-                                    break
-                            elif keyword.arg == "description":
-                                try:
-                                    tool_params["description"] = ast.literal_eval(keyword.value)
-                                except ValueError:
-                                    continue
-
-                        return tool_params
-                    return {
-                        "name": ast.literal_eval(tool.args[0]),
-                        "description": ast.literal_eval(tool.args[2]),
-                    }
-                #
-                else:
-                    # get the class object from the return statement
-                    try:
-                        class_obj = eval(compile(ast.Expression(tool), "<string>", "eval"))
-                    except Exception:
-                        return None
-
-                    return {
-                        "name": getattr(class_obj, "name"),
-                        "description": getattr(class_obj, "description"),
-                    }
-        # Return None if no return statement was found
-    return None
-
-
-def get_class_tool_params(cls, **kwargs) -> Union[Dict, None]:
-    tree = ast.parse(textwrap.dedent(inspect.getsource(cls)))
-
-    tool_params = {}
-
-    # Iterate over the statements in the abstract syntax tree
-    for node in ast.walk(tree):
-        if isinstance(node, ast.ClassDef):
-            # Find the class definition and look for methods
-            for stmt in node.body:
-                if isinstance(stmt, ast.FunctionDef) and stmt.name == "__init__":
-                    # There is no assignment statements in the __init__ method
-                    # So we need to get the params from the function definition
-                    for arg in stmt.args.args:
-                        if arg.arg == "name":
-                            # It should be the name of the class
-                            tool_params[arg.arg] = cls.__name__
-                        elif arg.arg == "self":
-                            continue
-                        # If there is not default value, set it to an empty string
-                        else:
-                            try:
-                                annotation = ast.literal_eval(arg.annotation)  # type: ignore
-                                tool_params[arg.arg] = annotation
-                            except ValueError:
-                                tool_params[arg.arg] = ""
-                # Get the attribute name and the annotation
-                elif cls != Tool and isinstance(stmt, ast.AnnAssign):
-                    # Get the attribute name and the annotation
-                    tool_params[stmt.target.id] = ""  # type: ignore
-
-    return tool_params
-
-
-def get_tool_params(tool, **kwargs) -> Dict:
-    # Parse the function code into an abstract syntax tree
-    # Define if it is a function or a class
-    if inspect.isfunction(tool):
-        return get_func_tool_params(tool, **kwargs) or {}
-    elif inspect.isclass(tool):
-        # Get the parameters necessary to
-        # instantiate the class
-
-        return get_class_tool_params(tool, **kwargs) or {}
-
-    else:
-        raise ValueError("Tool must be a function or class.")
diff --git a/src/backend/langflow/interface/types.py b/src/backend/langflow/interface/types.py
deleted file mode 100644
index 39c68889f9f..00000000000
--- a/src/backend/langflow/interface/types.py
+++ /dev/null
@@ -1,70 +0,0 @@
-from cachetools import LRUCache, cached
-
-from langflow.interface.agents.base import agent_creator
-from langflow.interface.chains.base import chain_creator
-from langflow.interface.custom.directory_reader.utils import merge_nested_dicts_with_renaming
-from langflow.interface.custom.utils import build_custom_components
-from langflow.interface.document_loaders.base import documentloader_creator
-from langflow.interface.embeddings.base import embedding_creator
-from langflow.interface.llms.base import llm_creator
-from langflow.interface.memories.base import memory_creator
-from langflow.interface.output_parsers.base import output_parser_creator
-from langflow.interface.prompts.base import prompt_creator
-from langflow.interface.retrievers.base import retriever_creator
-from langflow.interface.text_splitters.base import textsplitter_creator
-from langflow.interface.toolkits.base import toolkits_creator
-from langflow.interface.tools.base import tool_creator
-from langflow.interface.utilities.base import utility_creator
-from langflow.interface.wrappers.base import wrapper_creator
-
-
-# Used to get the base_classes list
-def get_type_list():
-    """Get a list of all langchain types"""
-    all_types = build_langchain_types_dict()
-
-    # all_types.pop("tools")
-
-    for key, value in all_types.items():
-        all_types[key] = [item["template"]["_type"] for item in value.values()]
-
-    return all_types
-
-
-@cached(LRUCache(maxsize=1))
-def build_langchain_types_dict():  # sourcery skip: dict-assign-update-to-union
-    """Build a dictionary of all langchain types"""
-    all_types = {}
-
-    creators = [
-        chain_creator,
-        agent_creator,
-        prompt_creator,
-        llm_creator,
-        memory_creator,
-        tool_creator,
-        toolkits_creator,
-        wrapper_creator,
-        embedding_creator,
-        # vectorstore_creator,
-        documentloader_creator,
-        textsplitter_creator,
-        utility_creator,
-        output_parser_creator,
-        retriever_creator,
-    ]
-
-    all_types = {}
-    for creator in creators:
-        created_types = creator.to_dict()
-        if created_types[creator.type_name].values():
-            all_types.update(created_types)
-
-    return all_types
-
-
-def get_all_types_dict(settings_service):
-    """Get all types dictionary combining native and custom components."""
-    native_components = build_langchain_types_dict()
-    custom_components_from_file = build_custom_components(settings_service)
-    return merge_nested_dicts_with_renaming(native_components, custom_components_from_file)
diff --git a/src/backend/langflow/interface/utilities/base.py b/src/backend/langflow/interface/utilities/base.py
deleted file mode 100644
index 0a58ef1bc6f..00000000000
--- a/src/backend/langflow/interface/utilities/base.py
+++ /dev/null
@@ -1,66 +0,0 @@
-from typing import Dict, List, Optional, Type
-
-from langchain_community import utilities
-from loguru import logger
-
-from langflow.custom.customs import get_custom_nodes
-from langflow.interface.base import LangChainTypeCreator
-from langflow.interface.importing.utils import import_class
-from langflow.services.deps import get_settings_service
-from langflow.template.frontend_node.utilities import UtilitiesFrontendNode
-from langflow.utils.util import build_template_from_class
-
-
-class UtilityCreator(LangChainTypeCreator):
-    type_name: str = "utilities"
-
-    @property
-    def frontend_node_class(self) -> Type[UtilitiesFrontendNode]:
-        return UtilitiesFrontendNode
-
-    @property
-    def type_to_loader_dict(self) -> Dict:
-        """
-        Returns a dictionary mapping utility names to their corresponding loader classes.
-        If the dictionary has not been created yet, it is created by importing all utility classes
-        from the langchain.chains module and filtering them according to the settings.utilities list.
-        """
-        if self.type_dict is None:
-            settings_service = get_settings_service()
-            self.type_dict = {}
-            for utility_name in utilities.__all__:
-                try:
-                    imported = import_class(f"langchain_community.utilities.{utility_name}")
-                    self.type_dict[utility_name] = imported
-                except Exception:
-                    pass
-
-            self.type_dict["SQLDatabase"] = utilities.SQLDatabase
-            # Filter according to settings.utilities
-            self.type_dict = {
-                name: utility
-                for name, utility in self.type_dict.items()
-                if name in settings_service.settings.UTILITIES or settings_service.settings.DEV
-            }
-
-        return self.type_dict
-
-    def get_signature(self, name: str) -> Optional[Dict]:
-        """Get the signature of a utility."""
-        try:
-            custom_nodes = get_custom_nodes(self.type_name)
-            if name in custom_nodes.keys():
-                return custom_nodes[name]
-            return build_template_from_class(name, self.type_to_loader_dict)
-        except ValueError as exc:
-            raise ValueError(f"Utility {name} not found") from exc
-
-        except AttributeError as exc:
-            logger.error(f"Utility {name} not loaded: {exc}")
-            return None
-
-    def to_list(self) -> List[str]:
-        return list(self.type_to_loader_dict.keys())
-
-
-utility_creator = UtilityCreator()
diff --git a/src/backend/langflow/interface/utils.py b/src/backend/langflow/interface/utils.py
deleted file mode 100644
index ef29911f5c7..00000000000
--- a/src/backend/langflow/interface/utils.py
+++ /dev/null
@@ -1,88 +0,0 @@
-import base64
-import json
-import os
-from io import BytesIO
-import re
-
-
-import yaml
-from langchain.base_language import BaseLanguageModel
-from PIL.Image import Image
-from loguru import logger
-from langflow.services.chat.config import ChatConfig
-from langflow.services.deps import get_settings_service
-
-
-def load_file_into_dict(file_path: str) -> dict:
-    if not os.path.exists(file_path):
-        raise FileNotFoundError(f"File not found: {file_path}")
-
-    # Files names are UUID, so we can't find the extension
-    with open(file_path, "r") as file:
-        try:
-            data = json.load(file)
-        except json.JSONDecodeError:
-            file.seek(0)
-            data = yaml.safe_load(file)
-        except ValueError as exc:
-            raise ValueError("Invalid file type. Expected .json or .yaml.") from exc
-    return data
-
-
-def pil_to_base64(image: Image) -> str:
-    buffered = BytesIO()
-    image.save(buffered, format="PNG")
-    img_str = base64.b64encode(buffered.getvalue())
-    return img_str.decode("utf-8")
-
-
-def try_setting_streaming_options(langchain_object):
-    # If the LLM type is OpenAI or ChatOpenAI,
-    # set streaming to True
-    # First we need to find the LLM
-    llm = None
-    if hasattr(langchain_object, "llm"):
-        llm = langchain_object.llm
-    elif hasattr(langchain_object, "llm_chain") and hasattr(langchain_object.llm_chain, "llm"):
-        llm = langchain_object.llm_chain.llm
-
-    if isinstance(llm, BaseLanguageModel):
-        if hasattr(llm, "streaming") and isinstance(llm.streaming, bool):
-            llm.streaming = ChatConfig.streaming
-        elif hasattr(llm, "stream") and isinstance(llm.stream, bool):
-            llm.stream = ChatConfig.streaming
-
-    return langchain_object
-
-
-def extract_input_variables_from_prompt(prompt: str) -> list[str]:
-    """Extract input variables from prompt."""
-    return re.findall(r"{(.*?)}", prompt)
-
-
-def setup_llm_caching():
-    """Setup LLM caching."""
-    settings_service = get_settings_service()
-    try:
-        set_langchain_cache(settings_service.settings)
-    except ImportError:
-        logger.warning(f"Could not import {settings_service.settings.CACHE_TYPE}. ")
-    except Exception as exc:
-        logger.warning(f"Could not setup LLM caching. Error: {exc}")
-
-
-def set_langchain_cache(settings):
-    from langchain.globals import set_llm_cache
-    from langflow.interface.importing.utils import import_class
-
-    if cache_type := os.getenv("LANGFLOW_LANGCHAIN_CACHE"):
-        try:
-            cache_class = import_class(f"langchain.cache.{cache_type or settings.LANGCHAIN_CACHE}")
-
-            logger.debug(f"Setting up LLM caching with {cache_class.__name__}")
-            set_llm_cache(cache_class())
-            logger.info(f"LLM caching setup with {cache_class.__name__}")
-        except ImportError:
-            logger.warning(f"Could not import {cache_type}. ")
-    else:
-        logger.info("No LLM cache set.")
diff --git a/src/backend/langflow/interface/vector_store/base.py b/src/backend/langflow/interface/vector_store/base.py
deleted file mode 100644
index 893c78fca0b..00000000000
--- a/src/backend/langflow/interface/vector_store/base.py
+++ /dev/null
@@ -1,52 +0,0 @@
-from typing import Any, Dict, List, Optional, Type
-
-from langchain import vectorstores
-from loguru import logger
-
-from langflow.interface.base import LangChainTypeCreator
-from langflow.interface.importing.utils import import_class
-from langflow.services.deps import get_settings_service
-from langflow.template.frontend_node.vectorstores import VectorStoreFrontendNode
-from langflow.utils.util import build_template_from_method
-
-
-class VectorstoreCreator(LangChainTypeCreator):
-    type_name: str = "vectorstores"
-
-    @property
-    def frontend_node_class(self) -> Type[VectorStoreFrontendNode]:
-        return VectorStoreFrontendNode
-
-    @property
-    def type_to_loader_dict(self) -> Dict:
-        if self.type_dict is None:
-            self.type_dict: dict[str, Any] = {
-                vectorstore_name: import_class(f"langchain_community.vectorstores.{vectorstore_name}")
-                for vectorstore_name in vectorstores.__all__
-            }
-        return self.type_dict
-
-    def get_signature(self, name: str) -> Optional[Dict]:
-        """Get the signature of an embedding."""
-        try:
-            return build_template_from_method(
-                name,
-                type_to_cls_dict=self.type_to_loader_dict,
-                method_name="from_texts",
-            )
-        except ValueError as exc:
-            raise ValueError(f"Vector Store {name} not found") from exc
-        except AttributeError as exc:
-            logger.error(f"Vector Store {name} not loaded: {exc}")
-            return None
-
-    def to_list(self) -> List[str]:
-        settings_service = get_settings_service()
-        return [
-            vectorstore
-            for vectorstore in self.type_to_loader_dict.keys()
-            if vectorstore in settings_service.settings.VECTORSTORES or settings_service.settings.DEV
-        ]
-
-
-vectorstore_creator = VectorstoreCreator()
diff --git a/src/backend/langflow/interface/wrappers/base.py b/src/backend/langflow/interface/wrappers/base.py
deleted file mode 100644
index 469559ad999..00000000000
--- a/src/backend/langflow/interface/wrappers/base.py
+++ /dev/null
@@ -1,44 +0,0 @@
-from typing import ClassVar, Dict, List, Optional
-
-from langchain_community.utilities import requests, sql_database
-from loguru import logger
-
-from langflow.interface.base import LangChainTypeCreator
-from langflow.utils.util import build_template_from_class, build_template_from_method
-
-
-class WrapperCreator(LangChainTypeCreator):
-    type_name: str = "wrappers"
-
-    from_method_nodes: ClassVar[Dict] = {"SQLDatabase": "from_uri"}
-
-    @property
-    def type_to_loader_dict(self) -> Dict:
-        if self.type_dict is None:
-            self.type_dict = {
-                wrapper.__name__: wrapper for wrapper in [requests.TextRequestsWrapper, sql_database.SQLDatabase]
-            }
-        return self.type_dict
-
-    def get_signature(self, name: str) -> Optional[Dict]:
-        try:
-            if name in self.from_method_nodes:
-                return build_template_from_method(
-                    name,
-                    type_to_cls_dict=self.type_to_loader_dict,
-                    add_function=True,
-                    method_name=self.from_method_nodes[name],
-                )
-
-            return build_template_from_class(name, self.type_to_loader_dict)
-        except ValueError as exc:
-            raise ValueError("Wrapper not found") from exc
-        except AttributeError as exc:
-            logger.error(f"Wrapper {name} not loaded: {exc}")
-            return None
-
-    def to_list(self) -> List[str]:
-        return list(self.type_to_loader_dict.keys())
-
-
-wrapper_creator = WrapperCreator()
diff --git a/src/backend/langflow/main.py b/src/backend/langflow/main.py
deleted file mode 100644
index 0eba10ab11b..00000000000
--- a/src/backend/langflow/main.py
+++ /dev/null
@@ -1,117 +0,0 @@
-from contextlib import asynccontextmanager
-from pathlib import Path
-from typing import Optional
-from urllib.parse import urlencode
-
-from fastapi import FastAPI, Request
-from fastapi.middleware.cors import CORSMiddleware
-from fastapi.responses import FileResponse
-from fastapi.staticfiles import StaticFiles
-
-from langflow.api import router
-from langflow.interface.utils import setup_llm_caching
-from langflow.services.plugins.langfuse_plugin import LangfuseInstance
-from langflow.services.utils import initialize_services, teardown_services
-from langflow.utils.logger import configure
-
-
-@asynccontextmanager
-async def lifespan(app: FastAPI):
-    initialize_services()
-    setup_llm_caching()
-    LangfuseInstance.update()
-    yield
-    teardown_services()
-
-
-def create_app():
-    """Create the FastAPI app and include the router."""
-
-    configure()
-
-    app = FastAPI(lifespan=lifespan)
-    origins = ["*"]
-
-    app.add_middleware(
-        CORSMiddleware,
-        allow_origins=origins,
-        allow_credentials=True,
-        allow_methods=["*"],
-        allow_headers=["*"],
-    )
-
-    @app.middleware("http")
-    async def flatten_query_string_lists(request: Request, call_next):
-        flattened: list[tuple[str, str]] = []
-        for key, value in request.query_params.multi_items():
-            flattened.extend((key, entry) for entry in value.split(","))
-
-        request.scope["query_string"] = urlencode(flattened, doseq=True).encode("utf-8")
-
-        return await call_next(request)
-
-    @app.get("/health")
-    def health():
-        return {"status": "ok"}
-
-    app.include_router(router)
-
-    return app
-
-
-def setup_static_files(app: FastAPI, static_files_dir: Path):
-    """
-    Setup the static files directory.
-    Args:
-        app (FastAPI): FastAPI app.
-        path (str): Path to the static files directory.
-    """
-    app.mount(
-        "/",
-        StaticFiles(directory=static_files_dir, html=True),
-        name="static",
-    )
-
-    @app.exception_handler(404)
-    async def custom_404_handler(request, __):
-        path = static_files_dir / "index.html"
-
-        if not path.exists():
-            raise RuntimeError(f"File at path {path} does not exist.")
-        return FileResponse(path)
-
-
-def get_static_files_dir():
-    """Get the static files directory relative to Langflow's main.py file."""
-    frontend_path = Path(__file__).parent
-    return frontend_path / "frontend"
-
-
-def setup_app(static_files_dir: Optional[Path] = None, backend_only: bool = False) -> FastAPI:
-    """Setup the FastAPI app."""
-    # get the directory of the current file
-    if not static_files_dir:
-        static_files_dir = get_static_files_dir()
-
-    if not backend_only and (not static_files_dir or not static_files_dir.exists()):
-        raise RuntimeError(f"Static files directory {static_files_dir} does not exist.")
-    app = create_app()
-    if not backend_only and static_files_dir is not None:
-        setup_static_files(app, static_files_dir)
-    return app
-
-
-if __name__ == "__main__":
-    import uvicorn
-
-    from langflow.__main__ import get_number_of_workers
-
-    configure()
-    uvicorn.run(
-        "langflow.main:create_app",
-        host="127.0.0.1",
-        port=7860,
-        workers=get_number_of_workers(),
-        log_level="debug",
-        reload=True,
-    )
diff --git a/src/backend/langflow/processing/base.py b/src/backend/langflow/processing/base.py
deleted file mode 100644
index 41e03e7bcc6..00000000000
--- a/src/backend/langflow/processing/base.py
+++ /dev/null
@@ -1,98 +0,0 @@
-from typing import TYPE_CHECKING, List, Union
-
-from langchain.agents.agent import AgentExecutor
-from langchain.callbacks.base import BaseCallbackHandler
-from loguru import logger
-
-from langflow.api.v1.callback import AsyncStreamingLLMCallbackHandler, StreamingLLMCallbackHandler
-from langflow.processing.process import fix_memory_inputs, format_actions
-from langflow.services.deps import get_plugins_service
-
-if TYPE_CHECKING:
-    from langfuse.callback import CallbackHandler  # type: ignore
-
-
-def setup_callbacks(sync, trace_id, **kwargs):
-    """Setup callbacks for langchain object"""
-    callbacks = []
-    if sync:
-        callbacks.append(StreamingLLMCallbackHandler(**kwargs))
-    else:
-        callbacks.append(AsyncStreamingLLMCallbackHandler(**kwargs))
-
-    plugin_service = get_plugins_service()
-    plugin_callbacks = plugin_service.get_callbacks(_id=trace_id)
-    if plugin_callbacks:
-        callbacks.extend(plugin_callbacks)
-    return callbacks
-
-
-def get_langfuse_callback(trace_id):
-    from langflow.services.deps import get_plugins_service
-
-    logger.debug("Initializing langfuse callback")
-    if langfuse := get_plugins_service().get("langfuse"):
-        logger.debug("Langfuse credentials found")
-        try:
-            trace = langfuse.trace(name="langflow-" + trace_id, id=trace_id)
-            return trace.getNewHandler()
-        except Exception as exc:
-            logger.error(f"Error initializing langfuse callback: {exc}")
-
-    return None
-
-
-def flush_langfuse_callback_if_present(callbacks: List[Union[BaseCallbackHandler, "CallbackHandler"]]):
-    """
-    If langfuse callback is present, run callback.langfuse.flush()
-    """
-    for callback in callbacks:
-        if hasattr(callback, "langfuse") and hasattr(callback.langfuse, "flush"):
-            callback.langfuse.flush()
-            break
-
-
-async def get_result_and_steps(langchain_object, inputs: Union[dict, str], **kwargs):
-    """Get result and thought from extracted json"""
-
-    try:
-        if hasattr(langchain_object, "verbose"):
-            langchain_object.verbose = True
-
-        if hasattr(langchain_object, "return_intermediate_steps"):
-            # https://github.com/hwchase17/langchain/issues/2068
-            # Deactivating until we have a frontend solution
-            # to display intermediate steps
-            langchain_object.return_intermediate_steps = True
-        try:
-            if not isinstance(langchain_object, AgentExecutor):
-                fix_memory_inputs(langchain_object)
-        except Exception as exc:
-            logger.error(f"Error fixing memory inputs: {exc}")
-
-        try:
-            trace_id = kwargs.pop("session_id", None)
-            callbacks = setup_callbacks(sync=False, trace_id=trace_id, **kwargs)
-            output = await langchain_object.acall(inputs, callbacks=callbacks)
-        except Exception as exc:
-            # make the error message more informative
-            logger.debug(f"Error: {str(exc)}")
-            trace_id = kwargs.pop("session_id", None)
-            callbacks = setup_callbacks(sync=True, trace_id=trace_id, **kwargs)
-            output = langchain_object(inputs, callbacks=callbacks)
-
-        # if langfuse callback is present, run callback.langfuse.flush()
-        flush_langfuse_callback_if_present(callbacks)
-
-        intermediate_steps = output.get("intermediate_steps", []) if isinstance(output, dict) else []
-
-        result = output.get(langchain_object.output_keys[0]) if isinstance(output, dict) else output
-        try:
-            thought = format_actions(intermediate_steps) if intermediate_steps else ""
-        except Exception as exc:
-            logger.exception(exc)
-            thought = ""
-    except Exception as exc:
-        logger.exception(exc)
-        raise ValueError(f"Error: {str(exc)}") from exc
-    return result, thought, output
diff --git a/src/backend/langflow/processing/load.py b/src/backend/langflow/processing/load.py
deleted file mode 100644
index d564d101fea..00000000000
--- a/src/backend/langflow/processing/load.py
+++ /dev/null
@@ -1,52 +0,0 @@
-import asyncio
-import json
-from pathlib import Path
-from typing import Optional, Union
-
-from langflow.graph import Graph
-from langflow.processing.process import fix_memory_inputs, process_tweaks
-
-
-def load_flow_from_json(flow: Union[Path, str, dict], tweaks: Optional[dict] = None, build=True):
-    """
-    Load flow from a JSON file or a JSON object.
-
-    :param flow: JSON file path or JSON object
-    :param tweaks: Optional tweaks to be processed
-    :param build: If True, build the graph, otherwise return the graph object
-    :return: Langchain object or Graph object depending on the build parameter
-    """
-    # If input is a file path, load JSON from the file
-    if isinstance(flow, (str, Path)):
-        with open(flow, "r", encoding="utf-8") as f:
-            flow_graph = json.load(f)
-    # If input is a dictionary, assume it's a JSON object
-    elif isinstance(flow, dict):
-        flow_graph = flow
-    else:
-        raise TypeError("Input must be either a file path (str) or a JSON object (dict)")
-
-    graph_data = flow_graph["data"]
-    if tweaks is not None:
-        graph_data = process_tweaks(graph_data, tweaks)
-    nodes = graph_data["nodes"]
-    edges = graph_data["edges"]
-    graph = Graph(nodes, edges)
-
-    if build:
-        langchain_object = asyncio.run(graph.build())
-
-        if hasattr(langchain_object, "verbose"):
-            langchain_object.verbose = True
-
-        if hasattr(langchain_object, "return_intermediate_steps"):
-            # Deactivating until we have a frontend solution
-            # to display intermediate steps
-            langchain_object.return_intermediate_steps = False
-
-        fix_memory_inputs(langchain_object)
-        return langchain_object
-
-    return graph
-
-    return graph
diff --git a/src/backend/langflow/processing/process.py b/src/backend/langflow/processing/process.py
deleted file mode 100644
index 394fb1fde17..00000000000
--- a/src/backend/langflow/processing/process.py
+++ /dev/null
@@ -1,299 +0,0 @@
-import asyncio
-from typing import Any, Coroutine, Dict, List, Optional, Tuple, Union
-
-from langchain.agents import AgentExecutor
-from langchain.chains.base import Chain
-from langchain.schema import AgentAction, Document
-from langchain_community.vectorstores import VectorStore
-from langchain_core.messages import AIMessage
-from langchain_core.runnables.base import Runnable
-from loguru import logger
-from pydantic import BaseModel
-
-from langflow.graph.graph.base import Graph
-from langflow.interface.run import build_sorted_vertices, get_memory_key, update_memory_keys
-from langflow.services.deps import get_session_service
-from langflow.services.session.service import SessionService
-
-
-def fix_memory_inputs(langchain_object):
-    """
-    Given a LangChain object, this function checks if it has a memory attribute and if that memory key exists in the
-    object's input variables. If so, it does nothing. Otherwise, it gets a possible new memory key using the
-    get_memory_key function and updates the memory keys using the update_memory_keys function.
-    """
-    if not hasattr(langchain_object, "memory") or langchain_object.memory is None:
-        return
-    try:
-        if (
-            hasattr(langchain_object.memory, "memory_key")
-            and langchain_object.memory.memory_key in langchain_object.input_variables
-        ):
-            return
-    except AttributeError:
-        input_variables = (
-            langchain_object.prompt.input_variables
-            if hasattr(langchain_object, "prompt")
-            else langchain_object.input_keys
-        )
-        if langchain_object.memory.memory_key in input_variables:
-            return
-
-    possible_new_mem_key = get_memory_key(langchain_object)
-    if possible_new_mem_key is not None:
-        update_memory_keys(langchain_object, possible_new_mem_key)
-
-
-def format_actions(actions: List[Tuple[AgentAction, str]]) -> str:
-    """Format a list of (AgentAction, answer) tuples into a string."""
-    output = []
-    for action, answer in actions:
-        log = action.log
-        tool = action.tool
-        tool_input = action.tool_input
-        output.append(f"Log: {log}")
-        if "Action" not in log and "Action Input" not in log:
-            output.append(f"Tool: {tool}")
-            output.append(f"Tool Input: {tool_input}")
-        output.append(f"Answer: {answer}")
-        output.append("")  # Add a blank line
-    return "\n".join(output)
-
-
-def get_result_and_thought(langchain_object: Any, inputs: dict):
-    """Get result and thought from extracted json"""
-    try:
-        if hasattr(langchain_object, "verbose"):
-            langchain_object.verbose = True
-
-        if hasattr(langchain_object, "return_intermediate_steps"):
-            langchain_object.return_intermediate_steps = False
-
-        try:
-            if not isinstance(langchain_object, AgentExecutor):
-                fix_memory_inputs(langchain_object)
-        except Exception as exc:
-            logger.error(f"Error fixing memory inputs: {exc}")
-
-        try:
-            output = langchain_object(inputs, return_only_outputs=True)
-        except ValueError as exc:
-            # make the error message more informative
-            logger.debug(f"Error: {str(exc)}")
-            output = langchain_object.run(inputs)
-
-    except Exception as exc:
-        raise ValueError(f"Error: {str(exc)}") from exc
-    return output
-
-
-def get_input_str_if_only_one_input(inputs: dict) -> Optional[str]:
-    """Get input string if only one input is provided"""
-    return list(inputs.values())[0] if len(inputs) == 1 else None
-
-
-def get_build_result(data_graph, session_id):
-    # If session_id is provided, load the langchain_object from the session
-    # using build_sorted_vertices_with_caching.get_result_by_session_id
-    # if it returns something different than None, return it
-    # otherwise, build the graph and return the result
-    if session_id:
-        logger.debug(f"Loading LangChain object from session {session_id}")
-        result = build_sorted_vertices(data_graph=data_graph)
-        if result is not None:
-            logger.debug("Loaded LangChain object")
-            return result
-
-    logger.debug("Building langchain object")
-    return build_sorted_vertices(data_graph)
-
-
-def process_inputs(
-    inputs: Optional[Union[dict, List[dict]]] = None, artifacts: Optional[Dict[str, Any]] = None
-) -> Union[dict, List[dict]]:
-    if inputs is None:
-        inputs = {}
-    if artifacts is None:
-        artifacts = {}
-
-    if isinstance(inputs, dict):
-        inputs = update_inputs_dict(inputs, artifacts)
-    elif isinstance(inputs, List):
-        inputs = [update_inputs_dict(inp, artifacts) for inp in inputs]
-
-    return inputs
-
-
-def update_inputs_dict(inputs: dict, artifacts: Dict[str, Any]) -> dict:
-    for key, value in artifacts.items():
-        if key == "repr":
-            continue
-        elif key not in inputs or not inputs[key]:
-            inputs[key] = value
-
-    return inputs
-
-
-async def process_runnable(runnable: Runnable, inputs: Union[dict, List[dict]]):
-    if isinstance(inputs, List) and hasattr(runnable, "abatch"):
-        result = await runnable.abatch(inputs)
-    elif isinstance(inputs, dict) and hasattr(runnable, "ainvoke"):
-        result = await runnable.ainvoke(inputs)
-    else:
-        raise ValueError(f"Runnable {runnable} does not support inputs of type {type(inputs)}")
-    # Check if the result is a list of AIMessages
-    if isinstance(result, list) and all(isinstance(r, AIMessage) for r in result):
-        result = [r.content for r in result]
-    elif isinstance(result, AIMessage):
-        result = result.content
-    return result
-
-
-async def process_inputs_dict(built_object: Union[Chain, VectorStore, Runnable], inputs: dict):
-    if isinstance(built_object, Chain):
-        if inputs is None:
-            raise ValueError("Inputs must be provided for a Chain")
-        logger.debug("Generating result and thought")
-        result = get_result_and_thought(built_object, inputs)
-
-        logger.debug("Generated result and thought")
-    elif isinstance(built_object, VectorStore) and "query" in inputs:
-        if isinstance(inputs, dict) and "search_type" not in inputs:
-            inputs["search_type"] = "similarity"
-            logger.info("search_type not provided, using default value: similarity")
-        result = built_object.search(**inputs)
-    elif isinstance(built_object, Document):
-        result = built_object.dict()
-    elif isinstance(built_object, Runnable):
-        result = await process_runnable(built_object, inputs)
-        if isinstance(result, list):
-            result = [r.content if hasattr(r, "content") else r for r in result]
-        elif hasattr(result, "content"):
-            result = result.content
-        else:
-            result = result
-    else:
-        result = None
-
-    return result
-
-
-async def process_inputs_list(built_object: Runnable, inputs: List[dict]):
-    return await process_runnable(built_object, inputs)
-
-
-async def generate_result(built_object: Union[Chain, VectorStore, Runnable], inputs: Union[dict, List[dict]]):
-    if isinstance(inputs, dict):
-        result = await process_inputs_dict(built_object, inputs)
-    elif isinstance(inputs, List) and isinstance(built_object, Runnable):
-        result = await process_inputs_list(built_object, inputs)
-    else:
-        raise ValueError(f"Invalid inputs type: {type(inputs)}")
-
-    if result is None:
-        logger.warning(f"Unknown built_object type: {type(built_object)}")
-        if isinstance(built_object, Coroutine):
-            result = asyncio.run(built_object)
-        result = built_object
-
-    return result
-
-
-class Result(BaseModel):
-    result: Any
-    session_id: str
-
-
-async def process_graph_cached(
-    data_graph: Dict[str, Any],
-    inputs: Optional[Union[dict, List[dict]]] = None,
-    clear_cache=False,
-    session_id=None,
-) -> Result:
-    session_service = get_session_service()
-    if clear_cache:
-        session_service.clear_session(session_id)
-    if session_id is None:
-        session_id = session_service.generate_key(session_id=session_id, data_graph=data_graph)
-    # Load the graph using SessionService
-    session = await session_service.load_session(session_id, data_graph)
-    graph, artifacts = session if session else (None, None)
-    if not graph:
-        raise ValueError("Graph not found in the session")
-
-    result = await build_graph_and_generate_result(
-        graph=graph, session_id=session_id, inputs=inputs, artifacts=artifacts, session_service=session_service
-    )
-
-    return result
-
-
-async def build_graph_and_generate_result(
-    graph: "Graph",
-    session_id: str,
-    inputs: Optional[Union[dict, List[dict]]] = None,
-    artifacts: Optional[Dict[str, Any]] = None,
-    session_service: Optional[SessionService] = None,
-):
-    """Build the graph and generate the result"""
-    built_object = await graph.build()
-    processed_inputs = process_inputs(inputs, artifacts or {})
-    result = await generate_result(built_object, processed_inputs)
-    # langchain_object is now updated with the new memory
-    # we need to update the cache with the updated langchain_object
-    if session_id and session_service:
-        session_service.update_session(session_id, (graph, artifacts))
-    return Result(result=result, session_id=session_id)
-
-
-def validate_input(graph_data: Dict[str, Any], tweaks: Dict[str, Dict[str, Any]]) -> List[Dict[str, Any]]:
-    if not isinstance(graph_data, dict) or not isinstance(tweaks, dict):
-        raise ValueError("graph_data and tweaks should be dictionaries")
-
-    nodes = graph_data.get("data", {}).get("nodes") or graph_data.get("nodes")
-
-    if not isinstance(nodes, list):
-        raise ValueError("graph_data should contain a list of nodes under 'data' key or directly under 'nodes' key")
-
-    return nodes
-
-
-def apply_tweaks(node: Dict[str, Any], node_tweaks: Dict[str, Any]) -> None:
-    template_data = node.get("data", {}).get("node", {}).get("template")
-
-    if not isinstance(template_data, dict):
-        logger.warning(f"Template data for node {node.get('id')} should be a dictionary")
-        return
-
-    for tweak_name, tweak_value in node_tweaks.items():
-        if tweak_name and tweak_value and tweak_name in template_data:
-            key = tweak_name if tweak_name == "file_path" else "value"
-            template_data[tweak_name][key] = tweak_value
-
-
-def process_tweaks(graph_data: Dict[str, Any], tweaks: Dict[str, Dict[str, Any]]) -> Dict[str, Any]:
-    """
-    This function is used to tweak the graph data using the node id and the tweaks dict.
-
-    :param graph_data: The dictionary containing the graph data. It must contain a 'data' key with
-                       'nodes' as its child or directly contain 'nodes' key. Each node should have an 'id' and 'data'.
-    :param tweaks: A dictionary where the key is the node id and the value is a dictionary of the tweaks.
-                   The inner dictionary contains the name of a certain parameter as the key and the value to be tweaked.
-
-    :return: The modified graph_data dictionary.
-
-    :raises ValueError: If the input is not in the expected format.
-    """
-    nodes = validate_input(graph_data, tweaks)
-
-    for node in nodes:
-        if isinstance(node, dict) and isinstance(node.get("id"), str):
-            node_id = node["id"]
-            if node_tweaks := tweaks.get(node_id):
-                apply_tweaks(node, node_tweaks)
-        else:
-            logger.warning("Each node should be a dictionary with an 'id' key of type str")
-
-    return graph_data
-    return graph_data
-    return graph_data
diff --git a/src/backend/langflow/server.py b/src/backend/langflow/server.py
deleted file mode 100644
index 9fe4327443e..00000000000
--- a/src/backend/langflow/server.py
+++ /dev/null
@@ -1,18 +0,0 @@
-from gunicorn.app.base import BaseApplication  # type: ignore
-
-
-class LangflowApplication(BaseApplication):
-    def __init__(self, app, options=None):
-        self.options = options or {}
-
-        self.options["worker_class"] = "uvicorn.workers.UvicornWorker"
-        self.application = app
-        super().__init__()
-
-    def load_config(self):
-        config = {key: value for key, value in self.options.items() if key in self.cfg.settings and value is not None}
-        for key, value in config.items():
-            self.cfg.set(key.lower(), value)
-
-    def load(self):
-        return self.application
diff --git a/src/backend/langflow/services/auth/factory.py b/src/backend/langflow/services/auth/factory.py
deleted file mode 100644
index b44019289ee..00000000000
--- a/src/backend/langflow/services/auth/factory.py
+++ /dev/null
@@ -1,12 +0,0 @@
-from langflow.services.factory import ServiceFactory
-from langflow.services.auth.service import AuthService
-
-
-class AuthServiceFactory(ServiceFactory):
-    name = "auth_service"
-
-    def __init__(self):
-        super().__init__(AuthService)
-
-    def create(self, settings_service):
-        return AuthService(settings_service)
diff --git a/src/backend/langflow/services/auth/service.py b/src/backend/langflow/services/auth/service.py
deleted file mode 100644
index 8beef8dcb55..00000000000
--- a/src/backend/langflow/services/auth/service.py
+++ /dev/null
@@ -1,12 +0,0 @@
-from langflow.services.base import Service
-from typing import TYPE_CHECKING
-
-if TYPE_CHECKING:
-    from langflow.services.settings.service import SettingsService
-
-
-class AuthService(Service):
-    name = "auth_service"
-
-    def __init__(self, settings_service: "SettingsService"):
-        self.settings_service = settings_service
diff --git a/src/backend/langflow/services/auth/utils.py b/src/backend/langflow/services/auth/utils.py
deleted file mode 100644
index cc0120de9a6..00000000000
--- a/src/backend/langflow/services/auth/utils.py
+++ /dev/null
@@ -1,347 +0,0 @@
-from datetime import datetime, timedelta, timezone
-from typing import Annotated, Coroutine, Optional, Union
-from uuid import UUID
-
-from cryptography.fernet import Fernet
-from fastapi import Depends, HTTPException, Security, status
-from fastapi.security import APIKeyHeader, APIKeyQuery, OAuth2PasswordBearer
-from jose import JWTError, jwt
-from sqlmodel import Session
-from starlette.websockets import WebSocket
-
-from langflow.services.database.models.api_key.crud import check_key
-from langflow.services.database.models.api_key.model import ApiKey
-from langflow.services.database.models.user.crud import get_user_by_id, get_user_by_username, update_user_last_login_at
-from langflow.services.database.models.user.model import User
-from langflow.services.deps import get_session, get_settings_service
-
-oauth2_login = OAuth2PasswordBearer(tokenUrl="api/v1/login", auto_error=False)
-
-API_KEY_NAME = "x-api-key"
-
-api_key_query = APIKeyQuery(name=API_KEY_NAME, scheme_name="API key query", auto_error=False)
-api_key_header = APIKeyHeader(name=API_KEY_NAME, scheme_name="API key header", auto_error=False)
-
-
-# Source: https://github.com/mrtolkien/fastapi_simple_security/blob/master/fastapi_simple_security/security_api_key.py
-async def api_key_security(
-    query_param: str = Security(api_key_query),
-    header_param: str = Security(api_key_header),
-    db: Session = Depends(get_session),
-) -> Optional[User]:
-    settings_service = get_settings_service()
-    result: Optional[Union[ApiKey, User]] = None
-    if settings_service.auth_settings.AUTO_LOGIN:
-        # Get the first user
-        if not settings_service.auth_settings.SUPERUSER:
-            raise HTTPException(
-                status_code=status.HTTP_400_BAD_REQUEST,
-                detail="Missing first superuser credentials",
-            )
-
-        result = get_user_by_username(db, settings_service.auth_settings.SUPERUSER)
-
-    elif not query_param and not header_param:
-        raise HTTPException(
-            status_code=status.HTTP_403_FORBIDDEN,
-            detail="An API key must be passed as query or header",
-        )
-
-    elif query_param:
-        result = check_key(db, query_param)
-
-    else:
-        result = check_key(db, header_param)
-
-    if not result:
-        raise HTTPException(
-            status_code=status.HTTP_403_FORBIDDEN,
-            detail="Invalid or missing API key",
-        )
-    if isinstance(result, ApiKey):
-        return result.user
-    elif isinstance(result, User):
-        return result
-
-
-async def get_current_user(
-    token: str = Security(oauth2_login),
-    query_param: str = Security(api_key_query),
-    header_param: str = Security(api_key_header),
-    db: Session = Depends(get_session),
-) -> User:
-    if token:
-        return await get_current_user_by_jwt(token, db)
-    else:
-        if not query_param and not header_param:
-            raise HTTPException(
-                status_code=status.HTTP_403_FORBIDDEN,
-                detail="An API key as query or header, or a JWT token must be passed",
-            )
-        user = await api_key_security(query_param, header_param, db)
-        if user:
-            return user
-
-        raise HTTPException(
-            status_code=status.HTTP_403_FORBIDDEN,
-            detail="Invalid or missing API key",
-        )
-
-
-async def get_current_user_by_jwt(
-    token: Annotated[str, Depends(oauth2_login)],
-    db: Session = Depends(get_session),
-) -> User:
-    settings_service = get_settings_service()
-
-    credentials_exception = HTTPException(
-        status_code=status.HTTP_401_UNAUTHORIZED,
-        detail="Could not validate credentials",
-        headers={"WWW-Authenticate": "Bearer"},
-    )
-
-    if isinstance(token, Coroutine):
-        token = await token
-
-    if settings_service.auth_settings.SECRET_KEY is None:
-        raise credentials_exception
-
-    try:
-        payload = jwt.decode(
-            token,
-            settings_service.auth_settings.SECRET_KEY,
-            algorithms=[settings_service.auth_settings.ALGORITHM],
-        )
-        user_id: UUID = payload.get("sub")  # type: ignore
-        token_type: str = payload.get("type")  # type: ignore
-        if expires := payload.get("exp", None):
-            expires_datetime = datetime.fromtimestamp(expires, timezone.utc)
-            # TypeError: can't compare offset-naive and offset-aware datetimes
-            if datetime.now(timezone.utc) > expires_datetime:
-                raise credentials_exception
-
-        if user_id is None or token_type:
-            raise credentials_exception
-    except JWTError as e:
-        raise credentials_exception from e
-
-    user = get_user_by_id(db, user_id)  # type: ignore
-    if user is None or not user.is_active:
-        raise credentials_exception
-    return user
-
-
-async def get_current_user_for_websocket(
-    websocket: WebSocket,
-    db: Session = Depends(get_session),
-    query_param: str = Security(api_key_query),
-) -> Optional[User]:
-    token = websocket.query_params.get("token")
-    api_key = websocket.query_params.get("x-api-key")
-    if token:
-        return await get_current_user_by_jwt(token, db)
-    elif api_key:
-        return await api_key_security(api_key, query_param, db)
-    else:
-        return None
-
-
-def get_current_active_user(current_user: Annotated[User, Depends(get_current_user)]):
-    if not current_user.is_active:
-        raise HTTPException(status_code=400, detail="Inactive user")
-    return current_user
-
-
-def get_current_active_superuser(current_user: Annotated[User, Depends(get_current_user)]) -> User:
-    if not current_user.is_active:
-        raise HTTPException(status_code=401, detail="Inactive user")
-    if not current_user.is_superuser:
-        raise HTTPException(status_code=400, detail="The user doesn't have enough privileges")
-    return current_user
-
-
-def verify_password(plain_password, hashed_password):
-    settings_service = get_settings_service()
-    return settings_service.auth_settings.pwd_context.verify(plain_password, hashed_password)
-
-
-def get_password_hash(password):
-    settings_service = get_settings_service()
-    return settings_service.auth_settings.pwd_context.hash(password)
-
-
-def create_token(data: dict, expires_delta: timedelta):
-    settings_service = get_settings_service()
-
-    to_encode = data.copy()
-    expire = datetime.now(timezone.utc) + expires_delta
-    to_encode["exp"] = expire
-
-    return jwt.encode(
-        to_encode,
-        settings_service.auth_settings.SECRET_KEY,
-        algorithm=settings_service.auth_settings.ALGORITHM,
-    )
-
-
-def create_super_user(
-    username: str,
-    password: str,
-    db: Session = Depends(get_session),
-) -> User:
-    super_user = get_user_by_username(db, username)
-
-    if not super_user:
-        super_user = User(
-            username=username,
-            password=get_password_hash(password),
-            is_superuser=True,
-            is_active=True,
-            last_login_at=None,
-        )
-
-        db.add(super_user)
-        db.commit()
-        db.refresh(super_user)
-
-    return super_user
-
-
-def create_user_longterm_token(db: Session = Depends(get_session)) -> dict:
-    settings_service = get_settings_service()
-    username = settings_service.auth_settings.SUPERUSER
-    password = settings_service.auth_settings.SUPERUSER_PASSWORD
-    if not username or not password:
-        raise HTTPException(
-            status_code=status.HTTP_400_BAD_REQUEST,
-            detail="Missing first superuser credentials",
-        )
-    super_user = create_super_user(db=db, username=username, password=password)
-
-    access_token_expires_longterm = timedelta(days=365)
-    access_token = create_token(
-        data={"sub": str(super_user.id)},
-        expires_delta=access_token_expires_longterm,
-    )
-
-    # Update: last_login_at
-    update_user_last_login_at(super_user.id, db)
-
-    return {
-        "access_token": access_token,
-        "refresh_token": None,
-        "token_type": "bearer",
-    }
-
-
-def create_user_api_key(user_id: UUID) -> dict:
-    access_token = create_token(
-        data={"sub": str(user_id), "role": "api_key"},
-        expires_delta=timedelta(days=365 * 2),
-    )
-
-    return {"api_key": access_token}
-
-
-def get_user_id_from_token(token: str) -> UUID:
-    try:
-        user_id = jwt.get_unverified_claims(token)["sub"]
-        return UUID(user_id)
-    except (KeyError, JWTError, ValueError):
-        return UUID(int=0)
-
-
-def create_user_tokens(user_id: UUID, db: Session = Depends(get_session), update_last_login: bool = False) -> dict:
-    settings_service = get_settings_service()
-
-    access_token_expires = timedelta(minutes=settings_service.auth_settings.ACCESS_TOKEN_EXPIRE_MINUTES)
-    access_token = create_token(
-        data={"sub": str(user_id)},
-        expires_delta=access_token_expires,
-    )
-
-    refresh_token_expires = timedelta(minutes=settings_service.auth_settings.REFRESH_TOKEN_EXPIRE_MINUTES)
-    refresh_token = create_token(
-        data={"sub": str(user_id), "type": "rf"},
-        expires_delta=refresh_token_expires,
-    )
-
-    # Update: last_login_at
-    if update_last_login:
-        update_user_last_login_at(user_id, db)
-
-    return {
-        "access_token": access_token,
-        "refresh_token": refresh_token,
-        "token_type": "bearer",
-    }
-
-
-def create_refresh_token(refresh_token: str, db: Session = Depends(get_session)):
-    settings_service = get_settings_service()
-
-    try:
-        payload = jwt.decode(
-            refresh_token,
-            settings_service.auth_settings.SECRET_KEY,
-            algorithms=[settings_service.auth_settings.ALGORITHM],
-        )
-        user_id: UUID = payload.get("sub")  # type: ignore
-        token_type: str = payload.get("type")  # type: ignore
-
-        if user_id is None or token_type is None:
-            raise HTTPException(status_code=status.HTTP_401_UNAUTHORIZED, detail="Invalid refresh token")
-
-        return create_user_tokens(user_id, db)
-
-    except JWTError as e:
-        raise HTTPException(
-            status_code=status.HTTP_401_UNAUTHORIZED,
-            detail="Invalid refresh token",
-        ) from e
-
-
-def authenticate_user(username: str, password: str, db: Session = Depends(get_session)) -> Optional[User]:
-    user = get_user_by_username(db, username)
-
-    if not user:
-        return None
-
-    if not user.is_active:
-        if not user.last_login_at:
-            raise HTTPException(status_code=400, detail="Waiting for approval")
-        raise HTTPException(status_code=400, detail="Inactive user")
-
-    return user if verify_password(password, user.password) else None
-
-
-def add_padding(s):
-    # Calculate the number of padding characters needed
-    padding_needed = 4 - len(s) % 4
-    return s + "=" * padding_needed
-
-
-def get_fernet(settings_service=Depends(get_settings_service)):
-    SECRET_KEY = settings_service.auth_settings.SECRET_KEY
-    # It's important that your secret key is 32 url-safe base64-encoded bytes
-    padded_secret_key = add_padding(SECRET_KEY)
-    fernet = Fernet(padded_secret_key)
-    return fernet
-
-
-def encrypt_api_key(api_key: str, settings_service=Depends(get_settings_service)):
-    fernet = get_fernet(settings_service)
-    # Two-way encryption
-    encrypted_key = fernet.encrypt(api_key.encode())
-    return encrypted_key.decode()
-
-
-def decrypt_api_key(encrypted_api_key: str, settings_service=Depends(get_settings_service)):
-    fernet = get_fernet(settings_service)
-    # Two-way decryption
-    if isinstance(encrypted_api_key, str):
-        encoded_bytes = encrypted_api_key.encode()
-    else:
-        encoded_bytes = encrypted_api_key
-    decrypted_key = fernet.decrypt(encoded_bytes).decode()
-    return decrypted_key
diff --git a/src/backend/langflow/services/base.py b/src/backend/langflow/services/base.py
deleted file mode 100644
index 3017719446d..00000000000
--- a/src/backend/langflow/services/base.py
+++ /dev/null
@@ -1,12 +0,0 @@
-from abc import ABC
-
-
-class Service(ABC):
-    name: str
-    ready: bool = False
-
-    def teardown(self):
-        pass
-
-    def set_ready(self):
-        self.ready = True
diff --git a/src/backend/langflow/services/cache/__init__.py b/src/backend/langflow/services/cache/__init__.py
deleted file mode 100644
index bf3a7c5eec7..00000000000
--- a/src/backend/langflow/services/cache/__init__.py
+++ /dev/null
@@ -1,9 +0,0 @@
-from . import factory, service
-from langflow.services.cache.service import InMemoryCache
-
-
-__all__ = [
-    "factory",
-    "service",
-    "InMemoryCache",
-]
diff --git a/src/backend/langflow/services/cache/base.py b/src/backend/langflow/services/cache/base.py
deleted file mode 100644
index 3b34e12f6f2..00000000000
--- a/src/backend/langflow/services/cache/base.py
+++ /dev/null
@@ -1,98 +0,0 @@
-import abc
-
-from langflow.services.base import Service
-
-
-class BaseCacheService(Service):
-    """
-    Abstract base class for a cache.
-    """
-
-    name = "cache_service"
-
-    @abc.abstractmethod
-    def get(self, key):
-        """
-        Retrieve an item from the cache.
-
-        Args:
-            key: The key of the item to retrieve.
-
-        Returns:
-            The value associated with the key, or None if the key is not found.
-        """
-
-    @abc.abstractmethod
-    def set(self, key, value):
-        """
-        Add an item to the cache.
-
-        Args:
-            key: The key of the item.
-            value: The value to cache.
-        """
-
-    @abc.abstractmethod
-    def upsert(self, key, value):
-        """
-        Add an item to the cache if it doesn't exist, or update it if it does.
-
-        Args:
-            key: The key of the item.
-            value: The value to cache.
-        """
-
-    @abc.abstractmethod
-    def delete(self, key):
-        """
-        Remove an item from the cache.
-
-        Args:
-            key: The key of the item to remove.
-        """
-
-    @abc.abstractmethod
-    def clear(self):
-        """
-        Clear all items from the cache.
-        """
-
-    @abc.abstractmethod
-    def __contains__(self, key):
-        """
-        Check if the key is in the cache.
-
-        Args:
-            key: The key of the item to check.
-
-        Returns:
-            True if the key is in the cache, False otherwise.
-        """
-
-    @abc.abstractmethod
-    def __getitem__(self, key):
-        """
-        Retrieve an item from the cache using the square bracket notation.
-
-        Args:
-            key: The key of the item to retrieve.
-        """
-
-    @abc.abstractmethod
-    def __setitem__(self, key, value):
-        """
-        Add an item to the cache using the square bracket notation.
-
-        Args:
-            key: The key of the item.
-            value: The value to cache.
-        """
-
-    @abc.abstractmethod
-    def __delitem__(self, key):
-        """
-        Remove an item from the cache using the square bracket notation.
-
-        Args:
-            key: The key of the item to remove.
-        """
diff --git a/src/backend/langflow/services/cache/factory.py b/src/backend/langflow/services/cache/factory.py
deleted file mode 100644
index 145f4e6533b..00000000000
--- a/src/backend/langflow/services/cache/factory.py
+++ /dev/null
@@ -1,35 +0,0 @@
-from typing import TYPE_CHECKING
-
-from langflow.services.cache.service import BaseCacheService, InMemoryCache, RedisCache
-from langflow.services.factory import ServiceFactory
-from langflow.utils.logger import logger
-
-if TYPE_CHECKING:
-    from langflow.services.settings.service import SettingsService
-
-
-class CacheServiceFactory(ServiceFactory):
-    def __init__(self):
-        super().__init__(BaseCacheService)
-
-    def create(self, settings_service: "SettingsService"):
-        # Here you would have logic to create and configure a CacheService
-        # based on the settings_service
-
-        if settings_service.settings.CACHE_TYPE == "redis":
-            logger.debug("Creating Redis cache")
-            redis_cache = RedisCache(
-                host=settings_service.settings.REDIS_HOST,
-                port=settings_service.settings.REDIS_PORT,
-                db=settings_service.settings.REDIS_DB,
-                url=settings_service.settings.REDIS_URL,
-                expiration_time=settings_service.settings.REDIS_CACHE_EXPIRE,
-            )
-            if redis_cache.is_connected():
-                logger.debug("Redis cache is connected")
-                return redis_cache
-            logger.warning("Redis cache is not connected, falling back to in-memory cache")
-            return InMemoryCache()
-
-        elif settings_service.settings.CACHE_TYPE == "memory":
-            return InMemoryCache()
diff --git a/src/backend/langflow/services/cache/service.py b/src/backend/langflow/services/cache/service.py
deleted file mode 100644
index ced34585148..00000000000
--- a/src/backend/langflow/services/cache/service.py
+++ /dev/null
@@ -1,325 +0,0 @@
-import pickle
-import threading
-import time
-from collections import OrderedDict
-
-from loguru import logger
-
-from langflow.services.base import Service
-from langflow.services.cache.base import BaseCacheService
-
-
-class InMemoryCache(BaseCacheService, Service):
-
-    """
-    A simple in-memory cache using an OrderedDict.
-
-    This cache supports setting a maximum size and expiration time for cached items.
-    When the cache is full, it uses a Least Recently Used (LRU) eviction policy.
-    Thread-safe using a threading Lock.
-
-    Attributes:
-        max_size (int, optional): Maximum number of items to store in the cache.
-        expiration_time (int, optional): Time in seconds after which a cached item expires. Default is 1 hour.
-
-    Example:
-
-        cache = InMemoryCache(max_size=3, expiration_time=5)
-
-        # setting cache values
-        cache.set("a", 1)
-        cache.set("b", 2)
-        cache["c"] = 3
-
-        # getting cache values
-        a = cache.get("a")
-        b = cache["b"]
-    """
-
-    def __init__(self, max_size=None, expiration_time=60 * 60):
-        """
-        Initialize a new InMemoryCache instance.
-
-        Args:
-            max_size (int, optional): Maximum number of items to store in the cache.
-            expiration_time (int, optional): Time in seconds after which a cached item expires. Default is 1 hour.
-        """
-        self._cache = OrderedDict()
-        self._lock = threading.RLock()
-        self.max_size = max_size
-        self.expiration_time = expiration_time
-
-    def get(self, key):
-        """
-        Retrieve an item from the cache.
-
-        Args:
-            key: The key of the item to retrieve.
-
-        Returns:
-            The value associated with the key, or None if the key is not found or the item has expired.
-        """
-        with self._lock:
-            return self._get_without_lock(key)
-
-    def _get_without_lock(self, key):
-        """
-        Retrieve an item from the cache without acquiring the lock.
-        """
-        if item := self._cache.get(key):
-            if self.expiration_time is None or time.time() - item["time"] < self.expiration_time:
-                # Move the key to the end to make it recently used
-                self._cache.move_to_end(key)
-                # Check if the value is pickled
-                if isinstance(item["value"], bytes):
-                    value = pickle.loads(item["value"])
-                else:
-                    value = item["value"]
-                return value
-            else:
-                self.delete(key)
-        return None
-
-    def set(self, key, value, pickle=False):
-        """
-        Add an item to the cache.
-
-        If the cache is full, the least recently used item is evicted.
-
-        Args:
-            key: The key of the item.
-            value: The value to cache.
-        """
-        with self._lock:
-            if key in self._cache:
-                # Remove existing key before re-inserting to update order
-                self.delete(key)
-            elif self.max_size and len(self._cache) >= self.max_size:
-                # Remove least recently used item
-                self._cache.popitem(last=False)
-            # pickle locally to mimic Redis
-            if pickle:
-                value = pickle.dumps(value)
-
-            self._cache[key] = {"value": value, "time": time.time()}
-
-    def upsert(self, key, value):
-        """
-        Inserts or updates a value in the cache.
-        If the existing value and the new value are both dictionaries, they are merged.
-
-        Args:
-            key: The key of the item.
-            value: The value to insert or update.
-        """
-        with self._lock:
-            existing_value = self._get_without_lock(key)
-            if existing_value is not None and isinstance(existing_value, dict) and isinstance(value, dict):
-                existing_value.update(value)
-                value = existing_value
-
-            self.set(key, value)
-
-    def get_or_set(self, key, value):
-        """
-        Retrieve an item from the cache. If the item does not exist,
-        set it with the provided value.
-
-        Args:
-            key: The key of the item.
-            value: The value to cache if the item doesn't exist.
-
-        Returns:
-            The cached value associated with the key.
-        """
-        with self._lock:
-            if key in self._cache:
-                return self.get(key)
-            self.set(key, value)
-            return value
-
-    def delete(self, key):
-        """
-        Remove an item from the cache.
-
-        Args:
-            key: The key of the item to remove.
-        """
-        with self._lock:
-            self._cache.pop(key, None)
-
-    def clear(self):
-        """
-        Clear all items from the cache.
-        """
-        with self._lock:
-            self._cache.clear()
-
-    def __contains__(self, key):
-        """Check if the key is in the cache."""
-        return key in self._cache
-
-    def __getitem__(self, key):
-        """Retrieve an item from the cache using the square bracket notation."""
-        return self.get(key)
-
-    def __setitem__(self, key, value):
-        """Add an item to the cache using the square bracket notation."""
-        self.set(key, value)
-
-    def __delitem__(self, key):
-        """Remove an item from the cache using the square bracket notation."""
-        self.delete(key)
-
-    def __len__(self):
-        """Return the number of items in the cache."""
-        return len(self._cache)
-
-    def __repr__(self):
-        """Return a string representation of the InMemoryCache instance."""
-        return f"InMemoryCache(max_size={self.max_size}, expiration_time={self.expiration_time})"
-
-
-class RedisCache(BaseCacheService, Service):
-    """
-    A Redis-based cache implementation.
-
-    This cache supports setting an expiration time for cached items.
-
-    Attributes:
-        expiration_time (int, optional): Time in seconds after which a cached item expires. Default is 1 hour.
-
-    Example:
-
-        cache = RedisCache(expiration_time=5)
-
-        # setting cache values
-        cache.set("a", 1)
-        cache.set("b", 2)
-        cache["c"] = 3
-
-        # getting cache values
-        a = cache.get("a")
-        b = cache["b"]
-    """
-
-    def __init__(self, host="localhost", port=6379, db=0, url=None, expiration_time=60 * 60):
-        """
-        Initialize a new RedisCache instance.
-
-        Args:
-            host (str, optional): Redis host.
-            port (int, optional): Redis port.
-            db (int, optional): Redis DB.
-            expiration_time (int, optional): Time in seconds after which a
-            ached item expires. Default is 1 hour.
-        """
-        try:
-            import redis
-        except ImportError as exc:
-            raise ImportError(
-                "RedisCache requires the redis-py package."
-                " Please install Langflow with the deploy extra: pip install langflow[deploy]"
-            ) from exc
-        logger.warning(
-            "RedisCache is an experimental feature and may not work as expected."
-            " Please report any issues to our GitHub repository."
-        )
-        if url:
-            self._client = redis.StrictRedis.from_url(url)
-        else:
-            self._client = redis.StrictRedis(host=host, port=port, db=db)
-        self.expiration_time = expiration_time
-
-    # check connection
-    def is_connected(self):
-        """
-        Check if the Redis client is connected.
-        """
-        import redis
-
-        try:
-            self._client.ping()
-            return True
-        except redis.exceptions.ConnectionError:
-            return False
-
-    def get(self, key):
-        """
-        Retrieve an item from the cache.
-
-        Args:
-            key: The key of the item to retrieve.
-
-        Returns:
-            The value associated with the key, or None if the key is not found.
-        """
-        value = self._client.get(key)
-        return pickle.loads(value) if value else None
-
-    def set(self, key, value):
-        """
-        Add an item to the cache.
-
-        Args:
-            key: The key of the item.
-            value: The value to cache.
-        """
-        try:
-            if pickled := pickle.dumps(value):
-                result = self._client.setex(key, self.expiration_time, pickled)
-                if not result:
-                    raise ValueError("RedisCache could not set the value.")
-        except TypeError as exc:
-            raise TypeError("RedisCache only accepts values that can be pickled. ") from exc
-
-    def upsert(self, key, value):
-        """
-        Inserts or updates a value in the cache.
-        If the existing value and the new value are both dictionaries, they are merged.
-
-        Args:
-            key: The key of the item.
-            value: The value to insert or update.
-        """
-        existing_value = self.get(key)
-        if existing_value is not None and isinstance(existing_value, dict) and isinstance(value, dict):
-            existing_value.update(value)
-            value = existing_value
-
-        self.set(key, value)
-
-    def delete(self, key):
-        """
-        Remove an item from the cache.
-
-        Args:
-            key: The key of the item to remove.
-        """
-        self._client.delete(key)
-
-    def clear(self):
-        """
-        Clear all items from the cache.
-        """
-        self._client.flushdb()
-
-    def __contains__(self, key):
-        """Check if the key is in the cache."""
-        return False if key is None else self._client.exists(key)
-
-    def __getitem__(self, key):
-        """Retrieve an item from the cache using the square bracket notation."""
-        return self.get(key)
-
-    def __setitem__(self, key, value):
-        """Add an item to the cache using the square bracket notation."""
-        self.set(key, value)
-
-    def __delitem__(self, key):
-        """Remove an item from the cache using the square bracket notation."""
-        self.delete(key)
-
-    def __repr__(self):
-        """Return a string representation of the RedisCache instance."""
-        return f"RedisCache(expiration_time={self.expiration_time})"
diff --git a/src/backend/langflow/services/cache/utils.py b/src/backend/langflow/services/cache/utils.py
deleted file mode 100644
index 129e9a6b7df..00000000000
--- a/src/backend/langflow/services/cache/utils.py
+++ /dev/null
@@ -1,160 +0,0 @@
-import base64
-import contextlib
-import hashlib
-import os
-import tempfile
-from pathlib import Path
-from typing import TYPE_CHECKING, Any, Dict
-
-from fastapi import UploadFile
-from platformdirs import user_cache_dir
-
-if TYPE_CHECKING:
-    from langflow.api.v1.schemas import BuildStatus
-
-CACHE: Dict[str, Any] = {}
-
-CACHE_DIR = user_cache_dir("langflow", "langflow")
-
-PREFIX = "langflow_cache"
-
-
-def create_cache_folder(func):
-    def wrapper(*args, **kwargs):
-        # Get the destination folder
-        cache_path = Path(CACHE_DIR) / PREFIX
-
-        # Create the destination folder if it doesn't exist
-        os.makedirs(cache_path, exist_ok=True)
-
-        return func(*args, **kwargs)
-
-    return wrapper
-
-
-@create_cache_folder
-def clear_old_cache_files(max_cache_size: int = 3):
-    cache_dir = Path(tempfile.gettempdir()) / PREFIX
-    cache_files = list(cache_dir.glob("*.dill"))
-
-    if len(cache_files) > max_cache_size:
-        cache_files_sorted_by_mtime = sorted(cache_files, key=lambda x: x.stat().st_mtime, reverse=True)
-
-        for cache_file in cache_files_sorted_by_mtime[max_cache_size:]:
-            with contextlib.suppress(OSError):
-                os.remove(cache_file)
-
-
-def filter_json(json_data):
-    filtered_data = json_data.copy()
-
-    # Remove 'viewport' and 'chatHistory' keys
-    if "viewport" in filtered_data:
-        del filtered_data["viewport"]
-    if "chatHistory" in filtered_data:
-        del filtered_data["chatHistory"]
-
-    # Filter nodes
-    if "nodes" in filtered_data:
-        for node in filtered_data["nodes"]:
-            if "position" in node:
-                del node["position"]
-            if "positionAbsolute" in node:
-                del node["positionAbsolute"]
-            if "selected" in node:
-                del node["selected"]
-            if "dragging" in node:
-                del node["dragging"]
-
-    return filtered_data
-
-
-@create_cache_folder
-def save_binary_file(content: str, file_name: str, accepted_types: list[str]) -> str:
-    """
-    Save a binary file to the specified folder.
-
-    Args:
-        content: The content of the file as a bytes object.
-        file_name: The name of the file, including its extension.
-
-    Returns:
-        The path to the saved file.
-    """
-    if not any(file_name.endswith(suffix) for suffix in accepted_types):
-        raise ValueError(f"File {file_name} is not accepted")
-
-    # Get the destination folder
-    cache_path = Path(CACHE_DIR) / PREFIX
-    if not content:
-        raise ValueError("Please, reload the file in the loader.")
-    data = content.split(",")[1]
-    decoded_bytes = base64.b64decode(data)
-
-    # Create the full file path
-    file_path = os.path.join(cache_path, file_name)
-
-    # Save the binary content to the file
-    with open(file_path, "wb") as file:
-        file.write(decoded_bytes)
-
-    return file_path
-
-
-@create_cache_folder
-def save_uploaded_file(file: UploadFile, folder_name):
-    """
-    Save an uploaded file to the specified folder with a hash of its content as the file name.
-
-    Args:
-        file: The uploaded file object.
-        folder_name: The name of the folder to save the file in.
-
-    Returns:
-        The path to the saved file.
-    """
-    cache_path = Path(CACHE_DIR)
-    folder_path = cache_path / folder_name
-    filename = file.filename
-    if isinstance(filename, str) or isinstance(filename, Path):
-        file_extension = Path(filename).suffix
-    else:
-        file_extension = ""
-    file_object = file.file
-
-    # Create the folder if it doesn't exist
-    if not folder_path.exists():
-        folder_path.mkdir()
-
-    # Create a hash of the file content
-    sha256_hash = hashlib.sha256()
-    # Reset the file cursor to the beginning of the file
-    file_object.seek(0)
-    # Iterate over the uploaded file in small chunks to conserve memory
-    while chunk := file_object.read(8192):  # Read 8KB at a time (adjust as needed)
-        sha256_hash.update(chunk)
-
-    # Use the hex digest of the hash as the file name
-    hex_dig = sha256_hash.hexdigest()
-    file_name = f"{hex_dig}{file_extension}"
-
-    # Reset the file cursor to the beginning of the file
-    file_object.seek(0)
-
-    # Save the file with the hash as its name
-    file_path = folder_path / file_name
-    with open(file_path, "wb") as new_file:
-        while chunk := file_object.read(8192):
-            new_file.write(chunk)
-
-    return file_path
-
-
-def update_build_status(cache_service, flow_id: str, status: "BuildStatus"):
-    cached_flow = cache_service[flow_id]
-    if cached_flow is None:
-        raise ValueError(f"Flow {flow_id} not found in cache")
-    cached_flow["status"] = status
-    cache_service[flow_id] = cached_flow
-    cached_flow["status"] = status
-    cache_service[flow_id] = cached_flow
diff --git a/src/backend/langflow/services/chat/service.py b/src/backend/langflow/services/chat/service.py
deleted file mode 100644
index 91fe988453a..00000000000
--- a/src/backend/langflow/services/chat/service.py
+++ /dev/null
@@ -1,260 +0,0 @@
-import asyncio
-import uuid
-from collections import defaultdict
-from typing import Any, Dict, List
-
-import orjson
-from fastapi import WebSocket, status
-from loguru import logger
-from starlette.websockets import WebSocketState
-
-from langflow.api.v1.schemas import ChatMessage, ChatResponse, FileResponse
-from langflow.interface.utils import pil_to_base64
-from langflow.services import ServiceType, service_manager
-from langflow.services.base import Service
-from langflow.services.chat.cache import Subject
-from langflow.services.chat.utils import process_graph
-
-from .cache import cache_service
-
-
-class ChatHistory(Subject):
-    def __init__(self):
-        super().__init__()
-        self.history: Dict[str, List[ChatMessage]] = defaultdict(list)
-
-    def add_message(self, client_id: str, message: ChatMessage):
-        """Add a message to the chat history."""
-
-        self.history[client_id].append(message)
-
-        if not isinstance(message, FileResponse):
-            self.notify()
-
-    def get_history(self, client_id: str, filter_messages=True) -> List[ChatMessage]:
-        """Get the chat history for a client."""
-        if history := self.history.get(client_id, []):
-            if filter_messages:
-                return [msg for msg in history if msg.type not in ["start", "stream"]]
-            return history
-        else:
-            return []
-
-    def empty_history(self, client_id: str):
-        """Empty the chat history for a client."""
-        self.history[client_id] = []
-
-
-class ChatService(Service):
-    name = "chat_service"
-
-    def __init__(self):
-        self.active_connections: Dict[str, WebSocket] = {}
-        self.connection_ids: Dict[str, str] = {}
-        self.chat_history = ChatHistory()
-        self.chat_cache = cache_service
-        self.chat_cache.attach(self.update)
-        self.cache_service = service_manager.get(ServiceType.CACHE_SERVICE)
-
-    def on_chat_history_update(self):
-        """Send the last chat message to the client."""
-        client_id = self.chat_cache.current_client_id
-        if client_id in self.active_connections:
-            chat_response = self.chat_history.get_history(client_id, filter_messages=False)[-1]
-            if chat_response.is_bot:
-                # Process FileResponse
-                if isinstance(chat_response, FileResponse):
-                    # If data_type is pandas, convert to csv
-                    if chat_response.data_type == "pandas":
-                        chat_response.data = chat_response.data.to_csv()
-                    elif chat_response.data_type == "image":
-                        # Base64 encode the image
-                        chat_response.data = pil_to_base64(chat_response.data)
-                # get event loop
-                loop = asyncio.get_event_loop()
-
-                coroutine = self.send_json(client_id, chat_response)
-                asyncio.run_coroutine_threadsafe(coroutine, loop)
-
-    def update(self):
-        if self.chat_cache.current_client_id in self.active_connections:
-            self.last_cached_object_dict = self.chat_cache.get_last()
-            # Add a new ChatResponse with the data
-            chat_response = FileResponse(
-                message=None,
-                type="file",
-                data=self.last_cached_object_dict["obj"],
-                data_type=self.last_cached_object_dict["type"],
-            )
-
-            self.chat_history.add_message(self.chat_cache.current_client_id, chat_response)
-
-    async def connect(self, client_id: str, websocket: WebSocket):
-        self.active_connections[client_id] = websocket
-        # This is to avoid having multiple clients with the same id
-        #! Temporary solution
-        self.connection_ids[client_id] = f"{client_id}-{uuid.uuid4()}"
-
-    def disconnect(self, client_id: str):
-        self.active_connections.pop(client_id, None)
-        self.connection_ids.pop(client_id, None)
-
-    async def send_message(self, client_id: str, message: str):
-        websocket = self.active_connections[client_id]
-        await websocket.send_text(message)
-
-    async def send_json(self, client_id: str, message: ChatMessage):
-        websocket = self.active_connections[client_id]
-        await websocket.send_json(message.model_dump())
-
-    async def close_connection(self, client_id: str, code: int, reason: str):
-        if websocket := self.active_connections[client_id]:
-            try:
-                await websocket.close(code=code, reason=reason)
-                self.disconnect(client_id)
-            except RuntimeError as exc:
-                # This is to catch the following error:
-                #  Unexpected ASGI message 'websocket.close', after sending 'websocket.close'
-                if "after sending" in str(exc):
-                    logger.error(f"Error closing connection: {exc}")
-
-    async def process_message(self, client_id: str, payload: Dict, build_result: Any):
-        # Process the graph data and chat message
-        chat_inputs = payload.pop("inputs", {})
-        chatkey = payload.pop("chatKey", None)
-        chat_inputs = ChatMessage(message=chat_inputs, chatKey=chatkey)
-        self.chat_history.add_message(client_id, chat_inputs)
-
-        # graph_data = payload
-        start_resp = ChatResponse(message=None, type="start", intermediate_steps="")
-        await self.send_json(client_id, start_resp)
-
-        # is_first_message = len(self.chat_history.get_history(client_id=client_id)) <= 1
-        # Generate result and thought
-        try:
-            logger.debug("Generating result and thought")
-
-            result, intermediate_steps, raw_output = await process_graph(
-                build_result=build_result,
-                chat_inputs=chat_inputs,
-                client_id=client_id,
-                session_id=self.connection_ids[client_id],
-            )
-            self.set_cache(client_id, build_result)
-        except Exception as e:
-            # Log stack trace
-            logger.exception(e)
-            self.chat_history.empty_history(client_id)
-            raise e
-        # Send a response back to the frontend, if needed
-        intermediate_steps = intermediate_steps or ""
-        history = self.chat_history.get_history(client_id, filter_messages=False)
-        file_responses = []
-        if history:
-            # Iterate backwards through the history
-            for msg in reversed(history):
-                if isinstance(msg, FileResponse):
-                    if msg.data_type == "image":
-                        # Base64 encode the image
-                        if isinstance(msg.data, str):
-                            continue
-                        msg.data = pil_to_base64(msg.data)
-                    file_responses.append(msg)
-                if msg.type == "start":
-                    break
-
-        response = ChatResponse(
-            message=result,
-            intermediate_steps=intermediate_steps.strip(),
-            type="end",
-            files=file_responses,
-        )
-        await self.send_json(client_id, response)
-        self.chat_history.add_message(client_id, response)
-
-    def set_cache(self, client_id: str, langchain_object: Any) -> bool:
-        """
-        Set the cache for a client.
-        """
-        # client_id is the flow id but that already exists in the cache
-        # so we need to change it to something else
-
-        result_dict = {
-            "result": langchain_object,
-            "type": type(langchain_object),
-        }
-        self.cache_service.upsert(client_id, result_dict)
-        return client_id in self.cache_service
-
-    async def handle_websocket(self, client_id: str, websocket: WebSocket):
-        await self.connect(client_id, websocket)
-
-        try:
-            chat_history = self.chat_history.get_history(client_id)
-            # iterate and make BaseModel into dict
-            chat_history = [chat.model_dump() for chat in chat_history]
-            await websocket.send_json(chat_history)
-
-            while True:
-                json_payload = await websocket.receive_json()
-                if isinstance(json_payload, str):
-                    payload = orjson.loads(json_payload)
-                elif isinstance(json_payload, dict):
-                    payload = json_payload
-                if "clear_history" in payload and payload["clear_history"]:
-                    self.chat_history.history[client_id] = []
-                    continue
-
-                with self.chat_cache.set_client_id(client_id):
-                    if build_result := self.cache_service.get(client_id).get("result"):
-                        await self.process_message(client_id, payload, build_result)
-
-                    else:
-                        raise RuntimeError(f"Could not find a build result for client_id {client_id}")
-        except Exception as exc:
-            # Handle any exceptions that might occur
-            logger.exception(f"Error handling websocket: {exc}")
-            if websocket.client_state == WebSocketState.CONNECTED:
-                await self.close_connection(
-                    client_id=client_id,
-                    code=status.WS_1011_INTERNAL_ERROR,
-                    reason=str(exc),
-                )
-            elif websocket.client_state == WebSocketState.DISCONNECTED:
-                self.disconnect(client_id)
-
-        finally:
-            try:
-                # first check if the connection is still open
-                if websocket.client_state == WebSocketState.CONNECTED:
-                    await self.close_connection(
-                        client_id=client_id,
-                        code=status.WS_1000_NORMAL_CLOSURE,
-                        reason="Client disconnected",
-                    )
-            except Exception as exc:
-                logger.error(f"Error closing connection: {exc}")
-            self.disconnect(client_id)
-
-
-def dict_to_markdown_table(my_dict):
-    markdown_table = "| Key | Value |\n|---|---|\n"
-    for key, value in my_dict.items():
-        markdown_table += f"| {key} | {value} |\n"
-    return markdown_table
-
-
-def list_of_dicts_to_markdown_table(dict_list):
-    if not dict_list:
-        return "No data provided."
-
-    # Extract headers from the keys of the first dictionary
-    headers = dict_list[0].keys()
-    markdown_table = "| " + " | ".join(headers) + " |\n"
-    markdown_table += "| " + " | ".join("---" for _ in headers) + " |\n"
-
-    for row_dict in dict_list:
-        row = [str(row_dict.get(header, "")) for header in headers]
-        markdown_table += "| " + " | ".join(row) + " |\n"
-
-    return markdown_table
diff --git a/src/backend/langflow/services/chat/utils.py b/src/backend/langflow/services/chat/utils.py
deleted file mode 100644
index 0562b9df2a8..00000000000
--- a/src/backend/langflow/services/chat/utils.py
+++ /dev/null
@@ -1,52 +0,0 @@
-from typing import Any
-
-from langchain.agents import AgentExecutor
-from langchain.chains.base import Chain
-from langchain_core.runnables import Runnable
-from langflow.api.v1.schemas import ChatMessage
-from langflow.interface.utils import try_setting_streaming_options
-from langflow.processing.base import get_result_and_steps
-from loguru import logger
-
-LANGCHAIN_RUNNABLES = (Chain, Runnable, AgentExecutor)
-
-
-async def process_graph(
-    build_result,
-    chat_inputs: ChatMessage,
-    client_id: str,
-    session_id: str,
-):
-    build_result = try_setting_streaming_options(build_result)
-    logger.debug("Loaded langchain object")
-
-    if build_result is None:
-        # Raise user facing error
-        raise ValueError("There was an error loading the langchain_object. Please, check all the nodes and try again.")
-
-    # Generate result and thought
-    try:
-        if chat_inputs.message is None:
-            logger.debug("No message provided")
-            chat_inputs.message = {}
-
-        logger.debug("Generating result and thought")
-        if isinstance(build_result, LANGCHAIN_RUNNABLES):
-            result, intermediate_steps, raw_output = await get_result_and_steps(
-                build_result,
-                chat_inputs.message,
-                client_id=client_id,
-                session_id=session_id,
-            )
-        else:
-            raise TypeError(f"Unknown type {type(build_result)}")
-        logger.debug("Generated result and intermediate_steps")
-        return result, intermediate_steps, raw_output
-    except Exception as e:
-        # Log stack trace
-        logger.exception(e)
-        raise e
-
-
-async def run_build_result(build_result: Any, chat_inputs: ChatMessage, client_id: str, session_id: str):
-    return build_result(inputs=chat_inputs.message)
diff --git a/src/backend/langflow/services/credentials/factory.py b/src/backend/langflow/services/credentials/factory.py
deleted file mode 100644
index c44a43da425..00000000000
--- a/src/backend/langflow/services/credentials/factory.py
+++ /dev/null
@@ -1,15 +0,0 @@
-from typing import TYPE_CHECKING
-
-from langflow.services.credentials.service import CredentialService
-from langflow.services.factory import ServiceFactory
-
-if TYPE_CHECKING:
-    from langflow.services.settings.service import SettingsService
-
-
-class CredentialServiceFactory(ServiceFactory):
-    def __init__(self):
-        super().__init__(CredentialService)
-
-    def create(self, settings_service: "SettingsService"):
-        return CredentialService(settings_service)
diff --git a/src/backend/langflow/services/credentials/service.py b/src/backend/langflow/services/credentials/service.py
deleted file mode 100644
index 08e04fdaa95..00000000000
--- a/src/backend/langflow/services/credentials/service.py
+++ /dev/null
@@ -1,37 +0,0 @@
-from typing import TYPE_CHECKING, Optional, Union
-from uuid import UUID
-
-from fastapi import Depends
-from langflow.services.auth import utils as auth_utils
-from langflow.services.base import Service
-from langflow.services.database.models.credential.model import Credential
-from langflow.services.deps import get_session
-from sqlmodel import Session, select
-
-if TYPE_CHECKING:
-    from langflow.services.settings.service import SettingsService
-
-
-class CredentialService(Service):
-    name = "credential_service"
-
-    def __init__(self, settings_service: "SettingsService"):
-        self.settings_service = settings_service
-
-    def get_credential(self, user_id: Union[UUID, str], name: str, session: Session = Depends(get_session)) -> str:
-        # we get the credential from the database
-        # credential = session.query(Credential).filter(Credential.user_id == user_id, Credential.name == name).first()
-        credential = session.exec(
-            select(Credential).where(Credential.user_id == user_id, Credential.name == name)
-        ).first()
-        # we decrypt the value
-        if not credential or not credential.value:
-            raise ValueError(f"{name} credential not found.")
-        decrypted = auth_utils.decrypt_api_key(credential.value, settings_service=self.settings_service)
-        return decrypted
-
-    def list_credentials(
-        self, user_id: Union[UUID, str], session: Session = Depends(get_session)
-    ) -> list[Optional[str]]:
-        credentials = session.exec(select(Credential).where(Credential.user_id == user_id)).all()
-        return [credential.name for credential in credentials]
diff --git a/src/backend/langflow/services/database/factory.py b/src/backend/langflow/services/database/factory.py
deleted file mode 100644
index 57bf1668d42..00000000000
--- a/src/backend/langflow/services/database/factory.py
+++ /dev/null
@@ -1,17 +0,0 @@
-from typing import TYPE_CHECKING
-from langflow.services.database.service import DatabaseService
-from langflow.services.factory import ServiceFactory
-
-if TYPE_CHECKING:
-    from langflow.services.settings.service import SettingsService
-
-
-class DatabaseServiceFactory(ServiceFactory):
-    def __init__(self):
-        super().__init__(DatabaseService)
-
-    def create(self, settings_service: "SettingsService"):
-        # Here you would have logic to create and configure a DatabaseService
-        if not settings_service.settings.DATABASE_URL:
-            raise ValueError("No database URL provided")
-        return DatabaseService(settings_service.settings.DATABASE_URL)
diff --git a/src/backend/langflow/services/database/models/__init__.py b/src/backend/langflow/services/database/models/__init__.py
deleted file mode 100644
index 9dd3e0285b0..00000000000
--- a/src/backend/langflow/services/database/models/__init__.py
+++ /dev/null
@@ -1,6 +0,0 @@
-from .api_key import ApiKey
-from .credential import Credential
-from .flow import Flow
-from .user import User
-
-__all__ = ["Flow", "User", "ApiKey", "Credential"]
diff --git a/src/backend/langflow/services/database/models/api_key/model.py b/src/backend/langflow/services/database/models/api_key/model.py
deleted file mode 100644
index d73f03b8b9c..00000000000
--- a/src/backend/langflow/services/database/models/api_key/model.py
+++ /dev/null
@@ -1,58 +0,0 @@
-from datetime import datetime
-from typing import TYPE_CHECKING, Optional
-from uuid import UUID, uuid4
-
-from pydantic import validator
-from sqlmodel import Column, DateTime, Field, Relationship, SQLModel, func
-
-if TYPE_CHECKING:
-    from langflow.services.database.models.user import User
-
-
-def utcnow():
-    return datetime.now()
-
-
-class ApiKeyBase(SQLModel):
-    name: Optional[str] = Field(index=True, nullable=True, default=None)
-    created_at: datetime = Field(sa_column=Column(DateTime(timezone=True), server_default=func.now()))
-    last_used_at: Optional[datetime] = Field(None, sa_column=Column(DateTime(timezone=True)))
-    total_uses: int = Field(default=0)
-    is_active: bool = Field(default=True)
-
-
-class ApiKey(ApiKeyBase, table=True):
-    id: UUID = Field(default_factory=uuid4, primary_key=True, unique=True)
-
-    api_key: str = Field(index=True, unique=True)
-    # User relationship
-    # Delete API keys when user is deleted
-    user_id: UUID = Field(index=True, foreign_key="user.id")
-    user: "User" = Relationship(
-        back_populates="api_keys",
-    )
-
-
-class ApiKeyCreate(ApiKeyBase):
-    api_key: Optional[str] = None
-    user_id: Optional[UUID] = None
-    created_at: Optional[datetime] = Field(
-        default_factory=utcnow, description="The date and time the API key was created"
-    )
-
-
-class UnmaskedApiKeyRead(ApiKeyBase):
-    id: UUID
-    api_key: str = Field()
-    user_id: UUID = Field()
-
-
-class ApiKeyRead(ApiKeyBase):
-    id: UUID
-    api_key: str = Field()
-    user_id: UUID = Field()
-
-    @validator("api_key", always=True)
-    def mask_api_key(cls, v):
-        # This validator will always run, and will mask the API key
-        return f"{v[:8]}{'*' * (len(v) - 8)}"
diff --git a/src/backend/langflow/services/database/models/component/__init__.py b/src/backend/langflow/services/database/models/component/__init__.py
deleted file mode 100644
index c5ad7d47f1a..00000000000
--- a/src/backend/langflow/services/database/models/component/__init__.py
+++ /dev/null
@@ -1,3 +0,0 @@
-from .model import Component, ComponentModel
-
-__all__ = ["Component", "ComponentModel"]
diff --git a/src/backend/langflow/services/database/models/component/model.py b/src/backend/langflow/services/database/models/component/model.py
deleted file mode 100644
index 0a5afc440aa..00000000000
--- a/src/backend/langflow/services/database/models/component/model.py
+++ /dev/null
@@ -1,29 +0,0 @@
-import uuid
-from datetime import datetime
-from typing import Optional
-
-from sqlmodel import Field, SQLModel
-
-
-class Component(SQLModel, table=True):
-    id: uuid.UUID = Field(default_factory=uuid.uuid4, primary_key=True)
-    frontend_node_id: uuid.UUID = Field(index=True)
-    name: str = Field(index=True)
-    description: Optional[str] = Field(default=None)
-    python_code: Optional[str] = Field(default=None)
-    return_type: Optional[str] = Field(default=None)
-    is_disabled: bool = Field(default=False)
-    is_read_only: bool = Field(default=False)
-    create_at: datetime = Field(default_factory=datetime.utcnow)
-    update_at: datetime = Field(default_factory=datetime.utcnow)
-
-
-class ComponentModel(SQLModel):
-    id: uuid.UUID = Field(default_factory=uuid.uuid4)
-    frontend_node_id: uuid.UUID = Field(default=uuid.uuid4())
-    name: str = Field(default="")
-    description: Optional[str] = None
-    python_code: Optional[str] = None
-    return_type: Optional[str] = None
-    is_disabled: bool = False
-    is_read_only: bool = False
diff --git a/src/backend/langflow/services/database/models/credential/__init__.py b/src/backend/langflow/services/database/models/credential/__init__.py
deleted file mode 100644
index 2f8b6cd0144..00000000000
--- a/src/backend/langflow/services/database/models/credential/__init__.py
+++ /dev/null
@@ -1,3 +0,0 @@
-from .model import Credential, CredentialCreate, CredentialRead, CredentialUpdate
-
-__all__ = ["Credential", "CredentialCreate", "CredentialRead", "CredentialUpdate"]
diff --git a/src/backend/langflow/services/database/models/credential/model.py b/src/backend/langflow/services/database/models/credential/model.py
deleted file mode 100644
index 1208560ad7b..00000000000
--- a/src/backend/langflow/services/database/models/credential/model.py
+++ /dev/null
@@ -1,46 +0,0 @@
-from datetime import datetime
-from typing import TYPE_CHECKING, Optional
-from uuid import UUID, uuid4
-
-from sqlmodel import Field, Relationship, SQLModel, Column, func, DateTime
-
-from langflow.services.database.models.credential.schema import CredentialType
-
-if TYPE_CHECKING:
-    from langflow.services.database.models.user import User
-
-
-class CredentialBase(SQLModel):
-    name: Optional[str] = Field(None, description="Name of the credential")
-    value: Optional[str] = Field(None, description="Encrypted value of the credential")
-    provider: Optional[str] = Field(None, description="Provider of the credential (e.g OpenAI)")
-
-
-class Credential(CredentialBase, table=True):
-    id: Optional[UUID] = Field(default_factory=uuid4, primary_key=True, description="Unique ID for the credential")
-    # name is unique per user
-    created_at: datetime = Field(
-        sa_column=Column(DateTime(timezone=True), server_default=func.now()),
-        description="Creation time of the credential",
-    )
-    updated_at: Optional[datetime] = Field(None,sa_column=Column(DateTime(timezone=True)), description="Last update time of the credential")
-    # foreign key to user table
-    user_id: UUID = Field(description="User ID associated with this credential", foreign_key="user.id")
-    user: "User" = Relationship(back_populates="credentials")
-
-
-class CredentialCreate(CredentialBase):
-    # AcceptedProviders is a custom Enum
-    provider: CredentialType = Field(description="Provider of the credential (e.g OpenAI)")
-
-
-class CredentialRead(SQLModel):
-    id: UUID
-    name: Optional[str] = Field(None, description="Name of the credential")
-    provider: Optional[str] = Field(None, description="Provider of the credential (e.g OpenAI)")
-
-
-class CredentialUpdate(SQLModel):
-    id: UUID  # Include the ID for updating
-    name: Optional[str] = Field(None, description="Name of the credential")
-    value: Optional[str] = Field(None, description="Encrypted value of the credential")
diff --git a/src/backend/langflow/services/database/models/credential/schema.py b/src/backend/langflow/services/database/models/credential/schema.py
deleted file mode 100644
index 98591534062..00000000000
--- a/src/backend/langflow/services/database/models/credential/schema.py
+++ /dev/null
@@ -1,8 +0,0 @@
-from enum import Enum
-
-
-class CredentialType(str, Enum):
-    """CredentialType is an Enum of the accepted providers"""
-
-    OPENAI_API_KEY = "OPENAI_API_KEY"
-    ANTHROPIC_API_KEY = "ANTHROPIC_API_KEY"
diff --git a/src/backend/langflow/services/database/models/flow/model.py b/src/backend/langflow/services/database/models/flow/model.py
deleted file mode 100644
index d942fa93c48..00000000000
--- a/src/backend/langflow/services/database/models/flow/model.py
+++ /dev/null
@@ -1,73 +0,0 @@
-# Path: src/backend/langflow/database/models/flow.py
-
-from datetime import datetime
-from typing import TYPE_CHECKING, Dict, Optional
-from uuid import UUID, uuid4
-
-from pydantic import field_serializer, field_validator
-from sqlmodel import JSON, Column, Field, Relationship, SQLModel
-
-if TYPE_CHECKING:
-    from langflow.services.database.models.user import User
-
-
-class FlowBase(SQLModel):
-    name: str = Field(index=True)
-    description: Optional[str] = Field(index=True, nullable=True, default=None)
-    data: Optional[Dict] = Field(default=None, nullable=True)
-    is_component: Optional[bool] = Field(default=False, nullable=True)
-    updated_at: Optional[datetime] = Field(default_factory=datetime.utcnow, nullable=True)
-    folder: Optional[str] = Field(default=None, nullable=True)
-
-    @field_validator("data")
-    def validate_json(v):
-        if not v:
-            return v
-        if not isinstance(v, dict):
-            raise ValueError("Flow must be a valid JSON")
-
-        # data must contain nodes and edges
-        if "nodes" not in v.keys():
-            raise ValueError("Flow must have nodes")
-        if "edges" not in v.keys():
-            raise ValueError("Flow must have edges")
-
-        return v
-
-    # updated_at can be serialized to JSON
-    @field_serializer("updated_at")
-    def serialize_dt(self, dt: datetime, _info):
-        if dt is None:
-            return None
-        return dt.isoformat()
-
-    @field_validator("updated_at", mode="before")
-    def validate_dt(cls, v):
-        if v is None:
-            return v
-        elif isinstance(v, datetime):
-            return v
-
-        return datetime.fromisoformat(v)
-
-
-class Flow(FlowBase, table=True):
-    id: UUID = Field(default_factory=uuid4, primary_key=True, unique=True)
-    data: Optional[Dict] = Field(default=None, sa_column=Column(JSON))
-    user_id: UUID = Field(index=True, foreign_key="user.id", nullable=True)
-    user: "User" = Relationship(back_populates="flows")
-
-
-class FlowCreate(FlowBase):
-    user_id: Optional[UUID] = None
-
-
-class FlowRead(FlowBase):
-    id: UUID
-    user_id: UUID = Field()
-
-
-class FlowUpdate(SQLModel):
-    name: Optional[str] = None
-    description: Optional[str] = None
-    data: Optional[Dict] = None
diff --git a/src/backend/langflow/services/database/models/user/model.py b/src/backend/langflow/services/database/models/user/model.py
deleted file mode 100644
index dccd3c30566..00000000000
--- a/src/backend/langflow/services/database/models/user/model.py
+++ /dev/null
@@ -1,57 +0,0 @@
-from datetime import datetime
-from typing import TYPE_CHECKING, Optional
-from uuid import UUID, uuid4
-
-from sqlmodel import Field, Relationship, SQLModel
-
-if TYPE_CHECKING:
-    from langflow.services.database.models.api_key import ApiKey
-    from langflow.services.database.models.credential import Credential
-    from langflow.services.database.models.flow import Flow
-
-
-class User(SQLModel, table=True):
-    id: UUID = Field(default_factory=uuid4, primary_key=True, unique=True)
-    username: str = Field(index=True, unique=True)
-    password: str = Field()
-    profile_image: Optional[str] = Field(default=None, nullable=True)
-    is_active: bool = Field(default=False)
-    is_superuser: bool = Field(default=False)
-    create_at: datetime = Field(default_factory=datetime.utcnow)
-    updated_at: datetime = Field(default_factory=datetime.utcnow)
-    last_login_at: Optional[datetime] = Field(default=None, nullable=True)
-    api_keys: list["ApiKey"] = Relationship(
-        back_populates="user",
-        sa_relationship_kwargs={"cascade": "delete"},
-    )
-    store_api_key: Optional[str] = Field(default=None, nullable=True)
-    flows: list["Flow"] = Relationship(back_populates="user")
-    credentials: list["Credential"] = Relationship(
-        back_populates="user",
-        sa_relationship_kwargs={"cascade": "delete"},
-    )
-
-
-class UserCreate(SQLModel):
-    username: str = Field()
-    password: str = Field()
-
-
-class UserRead(SQLModel):
-    id: UUID = Field(default_factory=uuid4)
-    username: str = Field()
-    profile_image: Optional[str] = Field()
-    is_active: bool = Field()
-    is_superuser: bool = Field()
-    create_at: datetime = Field()
-    updated_at: datetime = Field()
-    last_login_at: Optional[datetime] = Field(nullable=True)
-
-
-class UserUpdate(SQLModel):
-    username: Optional[str] = None
-    profile_image: Optional[str] = None
-    password: Optional[str] = None
-    is_active: Optional[bool] = None
-    is_superuser: Optional[bool] = None
-    last_login_at: Optional[datetime] = None
diff --git a/src/backend/langflow/services/database/service.py b/src/backend/langflow/services/database/service.py
deleted file mode 100644
index 1103d77553e..00000000000
--- a/src/backend/langflow/services/database/service.py
+++ /dev/null
@@ -1,259 +0,0 @@
-import time
-from pathlib import Path
-from typing import TYPE_CHECKING
-
-import sqlalchemy as sa
-from alembic import command, util
-from alembic.config import Config
-from loguru import logger
-from sqlalchemy import inspect
-from sqlalchemy.exc import OperationalError
-from sqlmodel import Session, SQLModel, create_engine, select, text
-
-from langflow.services.base import Service
-from langflow.services.database import models  # noqa
-from langflow.services.database.models.user.crud import get_user_by_username
-from langflow.services.database.utils import Result, TableResults
-from langflow.services.deps import get_settings_service
-from langflow.services.utils import teardown_superuser
-
-if TYPE_CHECKING:
-    from sqlalchemy.engine import Engine
-
-
-class DatabaseService(Service):
-    name = "database_service"
-
-    def __init__(self, database_url: str):
-        self.database_url = database_url
-        # This file is in langflow.services.database.manager.py
-        # the ini is in langflow
-        langflow_dir = Path(__file__).parent.parent.parent
-        self.script_location = langflow_dir / "alembic"
-        self.alembic_cfg_path = langflow_dir / "alembic.ini"
-        self.engine = self._create_engine()
-
-    def _create_engine(self) -> "Engine":
-        """Create the engine for the database."""
-        settings_service = get_settings_service()
-        if settings_service.settings.DATABASE_URL and settings_service.settings.DATABASE_URL.startswith("sqlite"):
-            connect_args = {"check_same_thread": False}
-        else:
-            connect_args = {}
-        return create_engine(self.database_url, connect_args=connect_args, max_overflow=-1)
-
-    def __enter__(self):
-        self._session = Session(self.engine)
-        return self._session
-
-    def __exit__(self, exc_type, exc_value, traceback):
-        if exc_type is not None:  # If an exception has been raised
-            logger.error(f"Session rollback because of exception: {exc_type.__name__} {exc_value}")
-            self._session.rollback()
-        else:
-            self._session.commit()
-        self._session.close()
-
-    def get_session(self):
-        with Session(self.engine) as session:
-            yield session
-
-    def migrate_flows_if_auto_login(self):
-        # if auto_login is enabled, we need to migrate the flows
-        # to the default superuser if they don't have a user id
-        # associated with them
-        settings_service = get_settings_service()
-        if settings_service.auth_settings.AUTO_LOGIN:
-            with Session(self.engine) as session:
-                flows = session.exec(select(models.Flow).where(models.Flow.user_id is None)).all()
-                if flows:
-                    logger.debug("Migrating flows to default superuser")
-                    username = settings_service.auth_settings.SUPERUSER
-                    user = get_user_by_username(session, username)
-                    if not user:
-                        logger.error("Default superuser not found")
-                        raise RuntimeError("Default superuser not found")
-                    for flow in flows:
-                        flow.user_id = user.id
-                    session.commit()
-                    logger.debug("Flows migrated successfully")
-
-    def check_schema_health(self) -> bool:
-        inspector = inspect(self.engine)
-
-        model_mapping = {
-            "flow": models.Flow,
-            "user": models.User,
-            "apikey": models.ApiKey,
-            # Add other SQLModel classes here
-        }
-
-        # To account for tables that existed in older versions
-        legacy_tables = ["flowstyle"]
-
-        for table, model in model_mapping.items():
-            expected_columns = list(model.model_fields.keys())
-
-            try:
-                available_columns = [col["name"] for col in inspector.get_columns(table)]
-            except sa.exc.NoSuchTableError:
-                logger.error(f"Missing table: {table}")
-                return False
-
-            for column in expected_columns:
-                if column not in available_columns:
-                    logger.error(f"Missing column: {column} in table {table}")
-                    return False
-
-        for table in legacy_tables:
-            if table in inspector.get_table_names():
-                logger.warning(f"Legacy table exists: {table}")
-
-        return True
-
-    def init_alembic(self, alembic_cfg):
-        logger.info("Initializing alembic")
-        command.ensure_version(alembic_cfg)
-        # alembic_cfg.attributes["connection"].commit()
-        command.upgrade(alembic_cfg, "head")
-        logger.info("Alembic initialized")
-
-    def run_migrations(self, fix=False):
-        # First we need to check if alembic has been initialized
-        # If not, we need to initialize it
-        # if not self.script_location.exists(): # this is not the correct way to check if alembic has been initialized
-        # We need to check if the alembic_version table exists
-        # if not, we need to initialize alembic
-        alembic_cfg = Config()
-        # alembic_cfg.attributes["connection"] = session
-        alembic_cfg.set_main_option("script_location", str(self.script_location))
-        alembic_cfg.set_main_option("sqlalchemy.url", self.database_url)
-        should_initialize_alembic = False
-        with Session(self.engine) as session:
-            # If the table does not exist it throws an error
-            # so we need to catch it
-            try:
-                session.exec(text("SELECT * FROM alembic_version"))
-            except Exception:
-                logger.info("Alembic not initialized")
-                should_initialize_alembic = True
-
-            else:
-                logger.info("Alembic already initialized")
-        if should_initialize_alembic:
-            try:
-                self.init_alembic(alembic_cfg)
-            except Exception as exc:
-                logger.error(f"Error initializing alembic: {exc}")
-                raise RuntimeError("Error initializing alembic") from exc
-
-        logger.info(f"Running DB migrations in {self.script_location}")
-
-        try:
-            command.check(alembic_cfg)
-        except Exception as exc:
-            if isinstance(exc, (util.exc.CommandError, util.exc.AutogenerateDiffsDetected)):
-                command.upgrade(alembic_cfg, "head")
-                time.sleep(3)
-
-        try:
-            command.check(alembic_cfg)
-        except util.exc.AutogenerateDiffsDetected as e:
-            logger.error("AutogenerateDiffsDetected: {exc}")
-            if not fix:
-                raise RuntimeError(
-                    "Something went wrong running migrations. Please, run `langflow migration --fix`"
-                ) from e
-
-        if fix:
-            self.try_downgrade_upgrade_until_success(alembic_cfg)
-
-    def try_downgrade_upgrade_until_success(self, alembic_cfg, retries=5):
-        # Try -1 then head, if it fails, try -2 then head, etc.
-        # until we reach the number of retries
-        for i in range(1, retries + 1):
-            try:
-                command.check(alembic_cfg)
-                break
-            except util.exc.AutogenerateDiffsDetected as exc:
-                # downgrade to base and upgrade again
-                logger.warning(f"AutogenerateDiffsDetected: {exc}")
-                command.downgrade(alembic_cfg, f"-{i}")
-                # wait for the database to be ready
-                time.sleep(3)
-                command.upgrade(alembic_cfg, "head")
-
-    def run_migrations_test(self):
-        # This method is used for testing purposes only
-        # We will check that all models are in the database
-        # and that the database is up to date with all columns
-        sql_models = [models.Flow, models.User, models.ApiKey]
-        return [TableResults(sql_model.__tablename__, self.check_table(sql_model)) for sql_model in sql_models]
-
-    def check_table(self, model):
-        results = []
-        inspector = inspect(self.engine)
-        table_name = model.__tablename__
-        expected_columns = list(model.__fields__.keys())
-        available_columns = []
-        try:
-            available_columns = [col["name"] for col in inspector.get_columns(table_name)]
-            results.append(Result(name=table_name, type="table", success=True))
-        except sa.exc.NoSuchTableError:
-            logger.error(f"Missing table: {table_name}")
-            results.append(Result(name=table_name, type="table", success=False))
-
-        for column in expected_columns:
-            if column not in available_columns:
-                logger.error(f"Missing column: {column} in table {table_name}")
-                results.append(Result(name=column, type="column", success=False))
-            else:
-                results.append(Result(name=column, type="column", success=True))
-        return results
-
-    def create_db_and_tables(self):
-        from sqlalchemy import inspect
-
-        inspector = inspect(self.engine)
-        table_names = inspector.get_table_names()
-        current_tables = ["flow", "user", "apikey"]
-
-        if table_names and all(table in table_names for table in current_tables):
-            logger.debug("Database and tables already exist")
-            return
-
-        logger.debug("Creating database and tables")
-
-        for table in SQLModel.metadata.sorted_tables:
-            try:
-                table.create(self.engine, checkfirst=True)
-            except OperationalError as oe:
-                logger.warning(f"Table {table} already exists, skipping. Exception: {oe}")
-            except Exception as exc:
-                logger.error(f"Error creating table {table}: {exc}")
-                raise RuntimeError(f"Error creating table {table}") from exc
-
-        # Now check if the required tables exist, if not, something went wrong.
-        inspector = inspect(self.engine)
-        table_names = inspector.get_table_names()
-        for table in current_tables:
-            if table not in table_names:
-                logger.error("Something went wrong creating the database and tables.")
-                logger.error("Please check your database settings.")
-                raise RuntimeError("Something went wrong creating the database and tables.")
-
-        logger.debug("Database and tables created successfully")
-
-    def teardown(self):
-        logger.debug("Tearing down database")
-        try:
-            settings_service = get_settings_service()
-            # remove the default superuser if auto_login is enabled
-            # using the SUPERUSER to get the user
-            with Session(self.engine) as session:
-                teardown_superuser(settings_service, session)
-
-        except Exception as exc:
-            logger.error(f"Error tearing down database: {exc}")
-
-        self.engine.dispose()
diff --git a/src/backend/langflow/services/deps.py b/src/backend/langflow/services/deps.py
deleted file mode 100644
index 1ac06738bee..00000000000
--- a/src/backend/langflow/services/deps.py
+++ /dev/null
@@ -1,63 +0,0 @@
-from typing import TYPE_CHECKING, Generator
-
-from langflow.services import ServiceType, service_manager
-
-if TYPE_CHECKING:
-    from langflow.services.cache.service import BaseCacheService
-    from langflow.services.chat.service import ChatService
-    from langflow.services.credentials.service import CredentialService
-    from langflow.services.database.service import DatabaseService
-    from langflow.services.plugins.service import PluginService
-    from langflow.services.session.service import SessionService
-    from langflow.services.settings.service import SettingsService
-    from langflow.services.store.service import StoreService
-    from langflow.services.task.service import TaskService
-    from sqlmodel import Session
-
-
-def get_credential_service() -> "CredentialService":
-    return service_manager.get(ServiceType.CREDENTIAL_SERVICE)  # type: ignore
-
-
-def get_plugins_service() -> "PluginService":
-    return service_manager.get(ServiceType.PLUGIN_SERVICE)  # type: ignore
-
-
-def get_settings_service() -> "SettingsService":
-    try:
-        return service_manager.get(ServiceType.SETTINGS_SERVICE)  # type: ignore
-    except ValueError:
-        # initialize settings service
-        from langflow.services.manager import initialize_settings_service
-
-        initialize_settings_service()
-        return service_manager.get(ServiceType.SETTINGS_SERVICE)  # type: ignore
-
-
-def get_db_service() -> "DatabaseService":
-    return service_manager.get(ServiceType.DATABASE_SERVICE)  # type: ignore
-
-
-def get_session() -> Generator["Session", None, None]:
-    db_service = get_db_service()
-    yield from db_service.get_session()
-
-
-def get_cache_service() -> "BaseCacheService":
-    return service_manager.get(ServiceType.CACHE_SERVICE)  # type: ignore
-
-
-def get_session_service() -> "SessionService":
-    return service_manager.get(ServiceType.SESSION_SERVICE)  # type: ignore
-
-
-def get_task_service() -> "TaskService":
-    return service_manager.get(ServiceType.TASK_SERVICE)  # type: ignore
-
-
-def get_chat_service() -> "ChatService":
-    return service_manager.get(ServiceType.CHAT_SERVICE)  # type: ignore
-
-
-def get_store_service() -> "StoreService":
-    return service_manager.get(ServiceType.STORE_SERVICE)  # type: ignore
diff --git a/src/backend/langflow/services/factory.py b/src/backend/langflow/services/factory.py
deleted file mode 100644
index 874d7374c80..00000000000
--- a/src/backend/langflow/services/factory.py
+++ /dev/null
@@ -1,12 +0,0 @@
-from typing import TYPE_CHECKING
-
-if TYPE_CHECKING:
-    from langflow.services.base import Service
-
-
-class ServiceFactory:
-    def __init__(self, service_class):
-        self.service_class = service_class
-
-    def create(self, *args, **kwargs) -> "Service":
-        raise NotImplementedError
diff --git a/src/backend/langflow/services/manager.py b/src/backend/langflow/services/manager.py
deleted file mode 100644
index 0adeefd2945..00000000000
--- a/src/backend/langflow/services/manager.py
+++ /dev/null
@@ -1,146 +0,0 @@
-from typing import TYPE_CHECKING, Dict, List, Optional
-
-from langflow.services.schema import ServiceType
-from loguru import logger
-
-if TYPE_CHECKING:
-    from langflow.services.base import Service
-    from langflow.services.factory import ServiceFactory
-
-
-class ServiceManager:
-    """
-    Manages the creation of different services.
-    """
-
-    def __init__(self):
-        self.services: Dict[str, "Service"] = {}
-        self.factories = {}
-        self.dependencies = {}
-
-    def register_factory(
-        self,
-        service_factory: "ServiceFactory",
-        dependencies: Optional[List[ServiceType]] = None,
-    ):
-        """
-        Registers a new factory with dependencies.
-        """
-        if dependencies is None:
-            dependencies = []
-        service_name = service_factory.service_class.name
-        self.factories[service_name] = service_factory
-        self.dependencies[service_name] = dependencies
-
-    def get(self, service_name: ServiceType) -> "Service":
-        """
-        Get (or create) a service by its name.
-        """
-        if service_name not in self.services:
-            self._create_service(service_name)
-
-        return self.services[service_name]
-
-    def _create_service(self, service_name: ServiceType):
-        """
-        Create a new service given its name, handling dependencies.
-        """
-        logger.debug(f"Create service {service_name}")
-        self._validate_service_creation(service_name)
-
-        # Create dependencies first
-        for dependency in self.dependencies.get(service_name, []):
-            if dependency not in self.services:
-                self._create_service(dependency)
-
-        # Collect the dependent services
-        dependent_services = {dep.value: self.services[dep] for dep in self.dependencies.get(service_name, [])}
-
-        # Create the actual service
-        self.services[service_name] = self.factories[service_name].create(**dependent_services)
-        self.services[service_name].set_ready()
-
-    def _validate_service_creation(self, service_name: ServiceType):
-        """
-        Validate whether the service can be created.
-        """
-        if service_name not in self.factories:
-            raise ValueError(f"No factory registered for the service class '{service_name.name}'")
-
-    def update(self, service_name: ServiceType):
-        """
-        Update a service by its name.
-        """
-        if service_name in self.services:
-            logger.debug(f"Update service {service_name}")
-            self.services.pop(service_name, None)
-            self.get(service_name)
-
-    def teardown(self):
-        """
-        Teardown all the services.
-        """
-        for service in self.services.values():
-            if service is None:
-                continue
-            logger.debug(f"Teardown service {service.name}")
-            try:
-                service.teardown()
-            except Exception as exc:
-                logger.exception(exc)
-        self.services = {}
-        self.factories = {}
-        self.dependencies = {}
-
-
-service_manager = ServiceManager()
-
-
-def reinitialize_services():
-    """
-    Reinitialize all the services needed.
-    """
-
-    service_manager.update(ServiceType.SETTINGS_SERVICE)
-    service_manager.update(ServiceType.DATABASE_SERVICE)
-    service_manager.update(ServiceType.CACHE_SERVICE)
-    service_manager.update(ServiceType.CHAT_SERVICE)
-    service_manager.update(ServiceType.SESSION_SERVICE)
-    service_manager.update(ServiceType.AUTH_SERVICE)
-    service_manager.update(ServiceType.TASK_SERVICE)
-
-    # Test cache connection
-    service_manager.get(ServiceType.CACHE_SERVICE)
-    # Test database connection
-    service_manager.get(ServiceType.DATABASE_SERVICE)
-
-    # Test cache connection
-    service_manager.get(ServiceType.CACHE_SERVICE)
-    # Test database connection
-    service_manager.get(ServiceType.DATABASE_SERVICE)
-
-
-def initialize_settings_service():
-    """
-    Initialize the settings manager.
-    """
-    from langflow.services.settings import factory as settings_factory
-
-    service_manager.register_factory(settings_factory.SettingsServiceFactory())
-
-
-def initialize_session_service():
-    """
-    Initialize the session manager.
-    """
-    from langflow.services.cache import factory as cache_factory
-    from langflow.services.session import factory as session_service_factory  # type: ignore
-
-    initialize_settings_service()
-
-    service_manager.register_factory(cache_factory.CacheServiceFactory(), dependencies=[ServiceType.SETTINGS_SERVICE])
-
-    service_manager.register_factory(
-        session_service_factory.SessionServiceFactory(),
-        dependencies=[ServiceType.CACHE_SERVICE],
-    )
diff --git a/src/backend/langflow/services/plugins/service.py b/src/backend/langflow/services/plugins/service.py
deleted file mode 100644
index f7b2895ec01..00000000000
--- a/src/backend/langflow/services/plugins/service.py
+++ /dev/null
@@ -1,66 +0,0 @@
-import importlib
-import inspect
-import os
-from typing import TYPE_CHECKING, Union
-
-from langflow.services.base import Service
-from langflow.services.plugins.base import BasePlugin, CallbackPlugin
-from loguru import logger
-
-if TYPE_CHECKING:
-    from langflow.services.settings.service import SettingsService
-
-
-class PluginService(Service):
-    name = "plugin_service"
-
-    def __init__(self, settings_service: "SettingsService"):
-        self.plugins: dict[str, BasePlugin] = {}
-        # plugin_dir = settings_service.settings.PLUGIN_DIR
-        self.plugin_dir = os.path.dirname(__file__)
-        self.plugins_base_module = "langflow.services.plugins"
-        self.load_plugins()
-
-    def load_plugins(self):
-        base_files = ["base.py", "service.py", "factory.py", "__init__.py"]
-        for module in os.listdir(self.plugin_dir):
-            if module.endswith(".py") and module not in base_files:
-                plugin_name = module[:-3]
-                module_path = f"{self.plugins_base_module}.{plugin_name}"
-                try:
-                    mod = importlib.import_module(module_path)
-                    for attr_name in dir(mod):
-                        attr = getattr(mod, attr_name)
-                        if (
-                            inspect.isclass(attr)
-                            and issubclass(attr, BasePlugin)
-                            and attr not in [CallbackPlugin, BasePlugin]
-                        ):
-                            self.register_plugin(plugin_name, attr())
-                except Exception as exc:
-                    logger.error(f"Error loading plugin {plugin_name}: {exc}")
-
-    def register_plugin(self, plugin_name, plugin_instance):
-        self.plugins[plugin_name] = plugin_instance
-        plugin_instance.initialize()
-
-    def get_plugin(self, plugin_name) -> Union[BasePlugin, None]:
-        return self.plugins.get(plugin_name)
-
-    def get(self, plugin_name):
-        if plugin := self.get_plugin(plugin_name):
-            return plugin.get()
-        return None
-
-    def teardown(self):
-        for plugin in self.plugins.values():
-            plugin.teardown()
-
-    def get_callbacks(self, _id=None):
-        callbacks = []
-        for plugin in self.plugins.values():
-            if isinstance(plugin, CallbackPlugin):
-                callback = plugin.get_callback(_id=_id)
-                if callback:
-                    callbacks.append(callback)
-        return callbacks
diff --git a/src/backend/langflow/services/schema.py b/src/backend/langflow/services/schema.py
deleted file mode 100644
index 8265c110850..00000000000
--- a/src/backend/langflow/services/schema.py
+++ /dev/null
@@ -1,19 +0,0 @@
-from enum import Enum
-
-
-class ServiceType(str, Enum):
-    """
-    Enum for the different types of services that can be
-    registered with the service manager.
-    """
-
-    AUTH_SERVICE = "auth_service"
-    CACHE_SERVICE = "cache_service"
-    SETTINGS_SERVICE = "settings_service"
-    DATABASE_SERVICE = "database_service"
-    CHAT_SERVICE = "chat_service"
-    SESSION_SERVICE = "session_service"
-    TASK_SERVICE = "task_service"
-    PLUGIN_SERVICE = "plugin_service"
-    STORE_SERVICE = "store_service"
-    CREDENTIAL_SERVICE = "credential_service"
diff --git a/src/backend/langflow/services/session/factory.py b/src/backend/langflow/services/session/factory.py
deleted file mode 100644
index beb0bd6bd53..00000000000
--- a/src/backend/langflow/services/session/factory.py
+++ /dev/null
@@ -1,14 +0,0 @@
-from typing import TYPE_CHECKING
-from langflow.services.session.service import SessionService
-from langflow.services.factory import ServiceFactory
-
-if TYPE_CHECKING:
-    from langflow.services.cache.service import BaseCacheService
-
-
-class SessionServiceFactory(ServiceFactory):
-    def __init__(self):
-        super().__init__(SessionService)
-
-    def create(self, cache_service: "BaseCacheService"):
-        return SessionService(cache_service)
diff --git a/src/backend/langflow/services/session/service.py b/src/backend/langflow/services/session/service.py
deleted file mode 100644
index 059d82becb3..00000000000
--- a/src/backend/langflow/services/session/service.py
+++ /dev/null
@@ -1,48 +0,0 @@
-from typing import TYPE_CHECKING, Optional
-
-from langflow.interface.run import build_sorted_vertices
-from langflow.services.base import Service
-from langflow.services.session.utils import compute_dict_hash, session_id_generator
-
-if TYPE_CHECKING:
-    from langflow.services.cache.base import BaseCacheService
-
-
-class SessionService(Service):
-    name = "session_service"
-
-    def __init__(self, cache_service):
-        self.cache_service: "BaseCacheService" = cache_service
-
-    async def load_session(self, key, data_graph: Optional[dict] = None):
-        # Check if the data is cached
-        if key in self.cache_service:
-            return self.cache_service.get(key)
-
-        if key is None:
-            key = self.generate_key(session_id=None, data_graph=data_graph)
-        if data_graph is None:
-            return (None, None)
-        # If not cached, build the graph and cache it
-        graph, artifacts = await build_sorted_vertices(data_graph)
-
-        self.cache_service.set(key, (graph, artifacts))
-
-        return graph, artifacts
-
-    def build_key(self, session_id, data_graph):
-        json_hash = compute_dict_hash(data_graph)
-        return f"{session_id}{':' if session_id else ''}{json_hash}"
-
-    def generate_key(self, session_id, data_graph):
-        # Hash the JSON and combine it with the session_id to create a unique key
-        if session_id is None:
-            # generate a 5 char session_id to concatenate with the json_hash
-            session_id = session_id_generator()
-        return self.build_key(session_id, data_graph=data_graph)
-
-    def update_session(self, session_id, value):
-        self.cache_service.set(session_id, value)
-
-    def clear_session(self, session_id):
-        self.cache_service.delete(session_id)
diff --git a/src/backend/langflow/services/settings/auth.py b/src/backend/langflow/services/settings/auth.py
deleted file mode 100644
index 8463d0781b0..00000000000
--- a/src/backend/langflow/services/settings/auth.py
+++ /dev/null
@@ -1,110 +0,0 @@
-import secrets
-from pathlib import Path
-from typing import Optional
-
-from langflow.services.settings.constants import (
-    DEFAULT_SUPERUSER,
-    DEFAULT_SUPERUSER_PASSWORD,
-)
-from langflow.services.settings.utils import read_secret_from_file, write_secret_to_file
-from loguru import logger
-from passlib.context import CryptContext
-from pydantic import Field, validator
-from pydantic_settings import BaseSettings
-
-
-class AuthSettings(BaseSettings):
-    # Login settings
-    CONFIG_DIR: str
-    SECRET_KEY: str = Field(
-        default="",
-        description="Secret key for JWT. If not provided, a random one will be generated.",
-        frozen=False,
-    )
-    ALGORITHM: str = "HS256"
-    ACCESS_TOKEN_EXPIRE_MINUTES: int = 60
-    REFRESH_TOKEN_EXPIRE_MINUTES: int = 60 * 12 * 7
-
-    # API Key to execute /process endpoint
-    API_KEY_SECRET_KEY: Optional[str] = "b82818e0ad4ff76615c5721ee21004b07d84cd9b87ba4d9cb42374da134b841a"
-    API_KEY_ALGORITHM: str = "HS256"
-    API_V1_STR: str = "/api/v1"
-
-    # If AUTO_LOGIN = True
-    # > The application does not request login and logs in automatically as a super user.
-    AUTO_LOGIN: bool = True
-    NEW_USER_IS_ACTIVE: bool = False
-    SUPERUSER: str = DEFAULT_SUPERUSER
-    SUPERUSER_PASSWORD: str = DEFAULT_SUPERUSER_PASSWORD
-
-    REFRESH_SAME_SITE: str = "none"
-    """The SameSite attribute of the refresh token cookie."""
-    REFRESH_SECURE: bool = True
-    """The Secure attribute of the refresh token cookie."""
-    REFRESH_HTTPONLY: bool = True
-    """The HttpOnly attribute of the refresh token cookie."""
-    ACCESS_SAME_SITE: str = "none"
-    """The SameSite attribute of the access token cookie."""
-    ACCESS_SECURE: bool = True
-    """The Secure attribute of the access token cookie."""
-    ACCESS_HTTPONLY: bool = False
-    """The HttpOnly attribute of the access token cookie."""
-
-    pwd_context: CryptContext = CryptContext(schemes=["bcrypt"], deprecated="auto")
-
-    class Config:
-        validate_assignment = True
-        extra = "ignore"
-        env_prefix = "LANGFLOW_"
-
-    def reset_credentials(self):
-        self.SUPERUSER = DEFAULT_SUPERUSER
-        self.SUPERUSER_PASSWORD = DEFAULT_SUPERUSER_PASSWORD
-
-    # If autologin is true, then we need to set the credentials to
-    # the default values
-    # so we need to validate the superuser and superuser_password
-    # fields
-    @validator("SUPERUSER", "SUPERUSER_PASSWORD", pre=True)
-    def validate_superuser(cls, value, values):
-        if values.get("AUTO_LOGIN"):
-            if value != DEFAULT_SUPERUSER:
-                value = DEFAULT_SUPERUSER
-                logger.debug("Resetting superuser to default value")
-            if values.get("SUPERUSER_PASSWORD") != DEFAULT_SUPERUSER_PASSWORD:
-                values["SUPERUSER_PASSWORD"] = DEFAULT_SUPERUSER_PASSWORD
-                logger.debug("Resetting superuser password to default value")
-
-            return value
-
-        return value
-
-    @validator("SECRET_KEY", pre=True)
-    def get_secret_key(cls, value, values):
-        config_dir = values.get("CONFIG_DIR")
-
-        if not config_dir:
-            logger.debug("No CONFIG_DIR provided, not saving secret key")
-            return value or secrets.token_urlsafe(32)
-
-        secret_key_path = Path(config_dir) / "secret_key"
-
-        if value:
-            logger.debug("Secret key provided")
-            write_secret_to_file(secret_key_path, value)
-        else:
-            logger.debug("No secret key provided, generating a random one")
-
-            if secret_key_path.exists():
-                value = read_secret_from_file(secret_key_path)
-                logger.debug("Loaded secret key")
-                if not value:
-                    value = secrets.token_urlsafe(32)
-                    write_secret_to_file(secret_key_path, value)
-                    logger.debug("Saved secret key")
-            else:
-                value = secrets.token_urlsafe(32)
-                write_secret_to_file(secret_key_path, value)
-                logger.debug("Saved secret key")
-
-        return value
diff --git a/src/backend/langflow/services/settings/base.py b/src/backend/langflow/services/settings/base.py
deleted file mode 100644
index f68afb0f47b..00000000000
--- a/src/backend/langflow/services/settings/base.py
+++ /dev/null
@@ -1,232 +0,0 @@
-import contextlib
-import json
-import os
-from pathlib import Path
-from shutil import copy2
-from typing import List, Optional
-
-import orjson
-import yaml
-from loguru import logger
-from pydantic import field_validator, validator
-from pydantic_settings import BaseSettings, SettingsConfigDict
-
-# BASE_COMPONENTS_PATH = str(Path(__file__).parent / "components")
-BASE_COMPONENTS_PATH = str(Path(__file__).parent.parent.parent / "components")
-
-
-class Settings(BaseSettings):
-    CHAINS: dict = {}
-    AGENTS: dict = {}
-    PROMPTS: dict = {}
-    LLMS: dict = {}
-    TOOLS: dict = {}
-    MEMORIES: dict = {}
-    EMBEDDINGS: dict = {}
-    VECTORSTORES: dict = {}
-    DOCUMENTLOADERS: dict = {}
-    WRAPPERS: dict = {}
-    RETRIEVERS: dict = {}
-    TOOLKITS: dict = {}
-    TEXTSPLITTERS: dict = {}
-    UTILITIES: dict = {}
-    OUTPUT_PARSERS: dict = {}
-    CUSTOM_COMPONENTS: dict = {}
-
-    # Define the default LANGFLOW_DIR
-    CONFIG_DIR: Optional[str] = None
-
-    DEV: bool = False
-    DATABASE_URL: Optional[str] = None
-    CACHE_TYPE: str = "memory"
-    REMOVE_API_KEYS: bool = False
-    COMPONENTS_PATH: List[str] = []
-    LANGCHAIN_CACHE: str = "InMemoryCache"
-
-    # Redis
-    REDIS_HOST: str = "localhost"
-    REDIS_PORT: int = 6379
-    REDIS_DB: int = 0
-    REDIS_URL: Optional[str] = None
-    REDIS_CACHE_EXPIRE: int = 3600
-
-    # PLUGIN_DIR: Optional[str] = None
-
-    LANGFUSE_SECRET_KEY: Optional[str] = None
-    LANGFUSE_PUBLIC_KEY: Optional[str] = None
-    LANGFUSE_HOST: Optional[str] = None
-
-    STORE: Optional[bool] = True
-    STORE_URL: Optional[str] = "https://api.langflow.store"
-    DOWNLOAD_WEBHOOK_URL: Optional[
-        str
-    ] = "https://api.langflow.store/flows/trigger/ec611a61-8460-4438-b187-a4f65e5559d4"
-    LIKE_WEBHOOK_URL: Optional[str] = "https://api.langflow.store/flows/trigger/64275852-ec00-45c1-984e-3bff814732da"
-
-    @validator("CONFIG_DIR", pre=True, allow_reuse=True)
-    def set_langflow_dir(cls, value):
-        if not value:
-            from platformdirs import user_cache_dir
-
-            # Define the app name and author
-            app_name = "langflow"
-            app_author = "logspace"
-
-            # Get the cache directory for the application
-            cache_dir = user_cache_dir(app_name, app_author)
-
-            # Create a .langflow directory inside the cache directory
-            value = Path(cache_dir)
-            value.mkdir(parents=True, exist_ok=True)
-
-        if isinstance(value, str):
-            value = Path(value)
-        if not value.exists():
-            value.mkdir(parents=True, exist_ok=True)
-
-        return str(value)
-
-    @validator("DATABASE_URL", pre=True)
-    def set_database_url(cls, value, values):
-        if not value:
-            logger.debug("No database_url provided, trying LANGFLOW_DATABASE_URL env variable")
-            if langflow_database_url := os.getenv("LANGFLOW_DATABASE_URL"):
-                value = langflow_database_url
-                logger.debug("Using LANGFLOW_DATABASE_URL env variable.")
-            else:
-                logger.debug("No DATABASE_URL env variable, using sqlite database")
-                # Originally, we used sqlite:///./langflow.db
-                # so we need to migrate to the new format
-                # if there is a database in that location
-                if not values["CONFIG_DIR"]:
-                    raise ValueError("CONFIG_DIR not set, please set it or provide a DATABASE_URL")
-
-                new_path = f"{values['CONFIG_DIR']}/langflow.db"
-                if Path("./langflow.db").exists():
-                    if Path(new_path).exists():
-                        logger.debug(f"Database already exists at {new_path}, using it")
-                    else:
-                        try:
-                            logger.debug("Copying existing database to new location")
-                            copy2("./langflow.db", new_path)
-                            logger.debug(f"Copied existing database to {new_path}")
-                        except Exception:
-                            logger.error("Failed to copy database, using default path")
-                            new_path = "./langflow.db"
-
-                value = f"sqlite:///{new_path}"
-
-        return value
-
-    @field_validator("COMPONENTS_PATH", mode="before")
-    def set_components_path(cls, value):
-        if os.getenv("LANGFLOW_COMPONENTS_PATH"):
-            logger.debug("Adding LANGFLOW_COMPONENTS_PATH to components_path")
-            langflow_component_path = os.getenv("LANGFLOW_COMPONENTS_PATH")
-            if Path(langflow_component_path).exists() and langflow_component_path not in value:
-                if isinstance(langflow_component_path, list):
-                    for path in langflow_component_path:
-                        if path not in value:
-                            value.append(path)
-                    logger.debug(f"Extending {langflow_component_path} to components_path")
-                elif langflow_component_path not in value:
-                    value.append(langflow_component_path)
-                    logger.debug(f"Appending {langflow_component_path} to components_path")
-
-        if not value:
-            value = [BASE_COMPONENTS_PATH]
-            logger.debug("Setting default components path to components_path")
-        elif BASE_COMPONENTS_PATH not in value:
-            value.append(BASE_COMPONENTS_PATH)
-            logger.debug("Adding default components path to components_path")
-
-        logger.debug(f"Components path: {value}")
-        return value
-
-    model_config = SettingsConfigDict(validate_assignment=True, extra="ignore", env_prefix="LANGFLOW_")
-
-    # @model_validator()
-    # @classmethod
-    # def validate_lists(cls, values):
-    #     for key, value in values.items():
-    #         if key != "dev" and not value:
-    #             values[key] = []
-    #     return values
-
-    def update_from_yaml(self, file_path: str, dev: bool = False):
-        new_settings = load_settings_from_yaml(file_path)
-        self.CHAINS = new_settings.CHAINS or {}
-        self.AGENTS = new_settings.AGENTS or {}
-        self.PROMPTS = new_settings.PROMPTS or {}
-        self.LLMS = new_settings.LLMS or {}
-        self.TOOLS = new_settings.TOOLS or {}
-        self.MEMORIES = new_settings.MEMORIES or {}
-        self.WRAPPERS = new_settings.WRAPPERS or {}
-        self.TOOLKITS = new_settings.TOOLKITS or {}
-        self.TEXTSPLITTERS = new_settings.TEXTSPLITTERS or {}
-        self.UTILITIES = new_settings.UTILITIES or {}
-        self.EMBEDDINGS = new_settings.EMBEDDINGS or {}
-        self.VECTORSTORES = new_settings.VECTORSTORES or {}
-        self.DOCUMENTLOADERS = new_settings.DOCUMENTLOADERS or {}
-        self.RETRIEVERS = new_settings.RETRIEVERS or {}
-        self.OUTPUT_PARSERS = new_settings.OUTPUT_PARSERS or {}
-        self.CUSTOM_COMPONENTS = new_settings.CUSTOM_COMPONENTS or {}
-        self.COMPONENTS_PATH = new_settings.COMPONENTS_PATH or []
-        self.DEV = dev
-
-    def update_settings(self, **kwargs):
-        logger.debug("Updating settings")
-        for key, value in kwargs.items():
-            # value may contain sensitive information, so we don't want to log it
-            if not hasattr(self, key):
-                logger.debug(f"Key {key} not found in settings")
-                continue
-            logger.debug(f"Updating {key}")
-            if isinstance(getattr(self, key), list):
-                # value might be a '[something]' string
-                with contextlib.suppress(json.decoder.JSONDecodeError):
-                    value = orjson.loads(str(value))
-                if isinstance(value, list):
-                    for item in value:
-                        if isinstance(item, Path):
-                            item = str(item)
-                        if item not in getattr(self, key):
-                            getattr(self, key).append(item)
-                    logger.debug(f"Extended {key}")
-                else:
-                    if isinstance(value, Path):
-                        value = str(value)
-                    if value not in getattr(self, key):
-                        getattr(self, key).append(value)
-                        logger.debug(f"Appended {key}")
-
-            else:
-                setattr(self, key, value)
-                logger.debug(f"Updated {key}")
-            logger.debug(f"{key}: {getattr(self, key)}")
-
-
-def save_settings_to_yaml(settings: Settings, file_path: str):
-    with open(file_path, "w") as f:
-        settings_dict = settings.model_dump()
-        yaml.dump(settings_dict, f)
-
-
-def load_settings_from_yaml(file_path: str) -> Settings:
-    # Check if a string is a valid path or a file name
-    if "/" not in file_path:
-        # Get current path
-        current_path = os.path.dirname(os.path.abspath(__file__))
-
-        file_path = os.path.join(current_path, file_path)
-
-    with open(file_path, "r") as f:
-        settings_dict = yaml.safe_load(f)
-        settings_dict = {k.upper(): v for k, v in settings_dict.items()}
-
-        for key in settings_dict:
-            if key not in Settings.model_fields.keys():
-                raise KeyError(f"Key {key} not found in settings")
-            logger.debug(f"Loading {len(settings_dict[key])} {key} from {file_path}")
-
-    return Settings(**settings_dict)
diff --git a/src/backend/langflow/services/settings/constants.py b/src/backend/langflow/services/settings/constants.py
deleted file mode 100644
index 6cf7d48231e..00000000000
--- a/src/backend/langflow/services/settings/constants.py
+++ /dev/null
@@ -1,2 +0,0 @@
-DEFAULT_SUPERUSER = "langflow"
-DEFAULT_SUPERUSER_PASSWORD = "langflow"
diff --git a/src/backend/langflow/services/settings/factory.py b/src/backend/langflow/services/settings/factory.py
deleted file mode 100644
index 713f13f828e..00000000000
--- a/src/backend/langflow/services/settings/factory.py
+++ /dev/null
@@ -1,13 +0,0 @@
-from pathlib import Path
-from langflow.services.settings.service import SettingsService
-from langflow.services.factory import ServiceFactory
-
-
-class SettingsServiceFactory(ServiceFactory):
-    def __init__(self):
-        super().__init__(SettingsService)
-
-    def create(self):
-        # Here you would have logic to create and configure a SettingsService
-        langflow_dir = Path(__file__).parent.parent.parent
-        return SettingsService.load_settings_from_yaml(str(langflow_dir / "config.yaml"))
diff --git a/src/backend/langflow/services/settings/service.py b/src/backend/langflow/services/settings/service.py
deleted file mode 100644
index a57a59eb8e3..00000000000
--- a/src/backend/langflow/services/settings/service.py
+++ /dev/null
@@ -1,42 +0,0 @@
-from langflow.services.base import Service
-from langflow.services.settings.auth import AuthSettings
-from langflow.services.settings.base import Settings
-from loguru import logger
-import os
-import yaml
-
-
-class SettingsService(Service):
-    name = "settings_service"
-
-    def __init__(self, settings: Settings, auth_settings: AuthSettings):
-        super().__init__()
-        self.settings = settings
-        self.auth_settings = auth_settings
-
-    @classmethod
-    def load_settings_from_yaml(cls, file_path: str) -> "SettingsService":
-        # Check if a string is a valid path or a file name
-        if "/" not in file_path:
-            # Get current path
-            current_path = os.path.dirname(os.path.abspath(__file__))
-
-            file_path = os.path.join(current_path, file_path)
-
-        with open(file_path, "r") as f:
-            settings_dict = yaml.safe_load(f)
-            settings_dict = {k.upper(): v for k, v in settings_dict.items()}
-
-            for key in settings_dict:
-                if key not in Settings.model_fields.keys():
-                    raise KeyError(f"Key {key} not found in settings")
-                logger.debug(f"Loading {len(settings_dict[key])} {key} from {file_path}")
-
-        settings = Settings(**settings_dict)
-        if not settings.CONFIG_DIR:
-            raise ValueError("CONFIG_DIR must be set in settings")
-
-        auth_settings = AuthSettings(
-            CONFIG_DIR=settings.CONFIG_DIR,
-        )
-        return cls(settings, auth_settings)
diff --git a/src/backend/langflow/services/store/factory.py b/src/backend/langflow/services/store/factory.py
deleted file mode 100644
index a25ad78c7ce..00000000000
--- a/src/backend/langflow/services/store/factory.py
+++ /dev/null
@@ -1,14 +0,0 @@
-from typing import TYPE_CHECKING
-from langflow.services.store.service import StoreService
-from langflow.services.factory import ServiceFactory
-
-if TYPE_CHECKING:
-    from langflow.services.settings.service import SettingsService
-
-
-class StoreServiceFactory(ServiceFactory):
-    def __init__(self):
-        super().__init__(StoreService)
-
-    def create(self, settings_service: "SettingsService"):
-        return StoreService(settings_service)
diff --git a/src/backend/langflow/services/store/schema.py b/src/backend/langflow/services/store/schema.py
deleted file mode 100644
index 0fe89de18cd..00000000000
--- a/src/backend/langflow/services/store/schema.py
+++ /dev/null
@@ -1,75 +0,0 @@
-from typing import List, Optional
-from uuid import UUID
-
-from pydantic import BaseModel, validator
-
-
-class TagResponse(BaseModel):
-    id: UUID
-    name: Optional[str]
-
-
-class UsersLikesResponse(BaseModel):
-    likes_count: Optional[int]
-    liked_by_user: Optional[bool]
-
-
-class CreateComponentResponse(BaseModel):
-    id: UUID
-
-
-class TagsIdResponse(BaseModel):
-    tags_id: Optional[TagResponse]
-
-
-class ListComponentResponse(BaseModel):
-    id: Optional[UUID] = None
-    name: Optional[str] = None
-    description: Optional[str] = None
-    liked_by_count: Optional[int] = None
-    liked_by_user: Optional[bool] = None
-    is_component: Optional[bool] = None
-    metadata: Optional[dict] = {}
-    user_created: Optional[dict] = {}
-    tags: Optional[List[TagResponse]] = None
-    downloads_count: Optional[int] = None
-    last_tested_version: Optional[str] = None
-    private: Optional[bool] = None
-
-    # tags comes as a TagsIdResponse but we want to return a list of TagResponse
-    @validator("tags", pre=True)
-    def tags_to_list(cls, v):
-        # Check if all values are have id and name
-        # if so, return v else transform to TagResponse
-        if not v:
-            return v
-        if all(["id" in tag and "name" in tag for tag in v]):
-            return v
-        else:
-            return [TagResponse(**tag.get("tags_id")) for tag in v if tag.get("tags_id")]
-
-
-class ListComponentResponseModel(BaseModel):
-    count: Optional[int] = 0
-    authorized: bool
-    results: Optional[List[ListComponentResponse]]
-
-
-class DownloadComponentResponse(BaseModel):
-    id: UUID
-    name: Optional[str]
-    description: Optional[str]
-    data: Optional[dict]
-    is_component: Optional[bool]
-    metadata: Optional[dict] = {}
-
-
-class StoreComponentCreate(BaseModel):
-    name: str
-    description: Optional[str]
-    data: dict
-    tags: Optional[List[str]]
-    parent: Optional[UUID] = None
-    is_component: Optional[bool]
-    last_tested_version: Optional[str] = None
-    private: Optional[bool] = True
diff --git a/src/backend/langflow/services/store/service.py b/src/backend/langflow/services/store/service.py
deleted file mode 100644
index b25599297d0..00000000000
--- a/src/backend/langflow/services/store/service.py
+++ /dev/null
@@ -1,544 +0,0 @@
-import json
-from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple
-from uuid import UUID
-
-import httpx
-from httpx import HTTPError, HTTPStatusError
-from loguru import logger
-
-from langflow.services.base import Service
-from langflow.services.store.exceptions import APIKeyError, FilterError, ForbiddenError
-from langflow.services.store.schema import (
-    CreateComponentResponse,
-    DownloadComponentResponse,
-    ListComponentResponse,
-    ListComponentResponseModel,
-    StoreComponentCreate,
-)
-from langflow.services.store.utils import (
-    process_component_data,
-    process_tags_for_post,
-    update_components_with_user_data,
-)
-
-if TYPE_CHECKING:
-    from langflow.services.settings.service import SettingsService
-
-from contextlib import asynccontextmanager
-from contextvars import ContextVar
-
-user_data_var: ContextVar[Optional[Dict[str, Any]]] = ContextVar("user_data", default=None)
-
-
-@asynccontextmanager
-async def user_data_context(store_service: "StoreService", api_key: Optional[str] = None):
-    # Fetch and set user data to the context variable
-    if api_key:
-        try:
-            user_data, _ = await store_service._get(
-                f"{store_service.base_url}/users/me", api_key, params={"fields": "id"}
-            )
-            user_data_var.set(user_data[0])
-        except HTTPStatusError as exc:
-            if exc.response.status_code == 403:
-                raise ValueError("Invalid API key")
-    try:
-        yield
-    finally:
-        # Clear the user data from the context variable
-        user_data_var.set(None)
-
-
-class StoreService(Service):
-    """This is a service that integrates langflow with the store which
-    is a Directus instance. It allows to search, get and post components to
-    the store."""
-
-    name = "store_service"
-
-    def __init__(self, settings_service: "SettingsService"):
-        self.settings_service = settings_service
-        self.base_url = self.settings_service.settings.STORE_URL
-        self.download_webhook_url = self.settings_service.settings.DOWNLOAD_WEBHOOK_URL
-        self.like_webhook_url = self.settings_service.settings.LIKE_WEBHOOK_URL
-        self.components_url = f"{self.base_url}/items/components"
-        self.default_fields = [
-            "id",
-            "name",
-            "description",
-            "user_created.username",
-            "is_component",
-            "tags.tags_id.name",
-            "tags.tags_id.id",
-            "count(liked_by)",
-            "count(downloads)",
-            "metadata",
-            "last_tested_version",
-            "private",
-        ]
-
-    # Create a context manager that will use the api key to
-    # get the user data and all requests inside the context manager
-    # will make a property return that data
-    # Without making the request multiple times
-
-    async def check_api_key(self, api_key: str):
-        # Check if the api key is valid
-        # If it is, return True
-        # If it is not, return False
-        try:
-            user_data, _ = await self._get(f"{self.base_url}/users/me", api_key, params={"fields": "id"})
-
-            return "id" in user_data[0]
-        except HTTPStatusError as exc:
-            if exc.response.status_code in [403, 401]:
-                return False
-            else:
-                raise ValueError(f"Unexpected status code: {exc.response.status_code}")
-        except Exception as exc:
-            raise ValueError(f"Unexpected error: {exc}")
-
-    async def _get(
-        self, url: str, api_key: Optional[str] = None, params: Optional[Dict[str, Any]] = None
-    ) -> Tuple[List[Dict[str, Any]], Dict[str, Any]]:
-        """Utility method to perform GET requests."""
-        if api_key:
-            headers = {"Authorization": f"Bearer {api_key}"}
-        else:
-            headers = {}
-        async with httpx.AsyncClient() as client:
-            try:
-                response = await client.get(url, headers=headers, params=params)
-                response.raise_for_status()
-            except HTTPError as exc:
-                raise exc
-            except Exception as exc:
-                raise ValueError(f"GET failed: {exc}")
-        json_response = response.json()
-        result = json_response["data"]
-        metadata = {}
-        if "meta" in json_response:
-            metadata = json_response["meta"]
-
-        if isinstance(result, dict):
-            return [result], metadata
-        return result, metadata
-
-    async def call_webhook(self, api_key: str, webhook_url: str, component_id: UUID) -> None:
-        # The webhook is a POST request with the data in the body
-        # For now we are calling it just for testing
-        try:
-            headers = {"Authorization": f"Bearer {api_key}"}
-            async with httpx.AsyncClient() as client:
-                response = await client.post(webhook_url, headers=headers, json={"component_id": str(component_id)})
-                response.raise_for_status()
-            return response.json()
-        except HTTPError as exc:
-            raise exc
-        except Exception as exc:
-            logger.debug(f"Webhook failed: {exc}")
-
-    def build_tags_filter(self, tags: List[str]):
-        tags_filter: Dict[str, Any] = {"tags": {"_and": []}}
-        for tag in tags:
-            tags_filter["tags"]["_and"].append({"_some": {"tags_id": {"name": {"_eq": tag}}}})
-        return tags_filter
-
-    async def count_components(
-        self,
-        filter_conditions: List[Dict[str, Any]],
-        api_key: Optional[str] = None,
-        use_api_key: Optional[bool] = False,
-    ) -> int:
-        params = {"aggregate": json.dumps({"count": "*"})}
-        if filter_conditions:
-            params["filter"] = json.dumps({"_and": filter_conditions})
-
-        api_key = api_key if use_api_key else None
-
-        results, _ = await self._get(self.components_url, api_key, params)
-        return int(results[0].get("count", 0))
-
-    @staticmethod
-    def build_search_filter_conditions(query: str):
-        # instead of build the param ?search=query, we will build the filter
-        # that will use _icontains (case insensitive)
-        conditions: Dict[str, Any] = {"_or": []}
-        conditions["_or"].append({"name": {"_icontains": query}})
-        conditions["_or"].append({"description": {"_icontains": query}})
-        conditions["_or"].append({"tags": {"tags_id": {"name": {"_icontains": query}}}})
-        conditions["_or"].append({"user_created": {"username": {"_icontains": query}}})
-        return conditions
-
-    def build_filter_conditions(
-        self,
-        component_id: Optional[str] = None,
-        search: Optional[str] = None,
-        private: Optional[bool] = None,
-        tags: Optional[List[str]] = None,
-        is_component: Optional[bool] = None,
-        filter_by_user: Optional[bool] = False,
-        liked: Optional[bool] = False,
-        store_api_key: Optional[str] = None,
-    ):
-        filter_conditions = []
-
-        if search is not None:
-            search_conditions = self.build_search_filter_conditions(search)
-            filter_conditions.append(search_conditions)
-
-        if private is not None:
-            filter_conditions.append({"private": {"_eq": private}})
-
-        if tags:
-            tags_filter = self.build_tags_filter(tags)
-            filter_conditions.append(tags_filter)
-        if component_id is not None:
-            filter_conditions.append({"id": {"_eq": component_id}})
-        if is_component is not None:
-            filter_conditions.append({"is_component": {"_eq": is_component}})
-        if liked and store_api_key:
-            liked_filter = self.build_liked_filter()
-            filter_conditions.append(liked_filter)
-        elif liked and not store_api_key:
-            raise APIKeyError("You must provide an API key to filter by likes")
-
-        if filter_by_user and store_api_key:
-            user_data = user_data_var.get()
-            if not user_data:
-                raise ValueError("No user data")
-            filter_conditions.append({"user_created": {"_eq": user_data["id"]}})
-        elif filter_by_user and not store_api_key:
-            raise APIKeyError("You must provide an API key to filter your components")
-        else:
-            filter_conditions.append({"private": {"_eq": False}})
-
-        return filter_conditions
-
-    def build_liked_filter(self):
-        user_data = user_data_var.get()
-        # params["filter"] = json.dumps({"user_created": {"_eq": user_data["id"]}})
-        if not user_data:
-            raise ValueError("No user data")
-        return {"liked_by": {"directus_users_id": {"_eq": user_data["id"]}}}
-
-    async def query_components(
-        self,
-        api_key: Optional[str] = None,
-        sort: Optional[List[str]] = None,
-        page: int = 1,
-        limit: int = 15,
-        fields: Optional[List[str]] = None,
-        filter_conditions: Optional[List[Dict[str, Any]]] = None,
-        use_api_key: Optional[bool] = False,
-    ) -> Tuple[List[ListComponentResponse], Dict[str, Any]]:
-        params: Dict[str, Any] = {
-            "page": page,
-            "limit": limit,
-            "fields": ",".join(fields) if fields is not None else ",".join(self.default_fields),
-            "meta": "filter_count",  # !This is DEPRECATED so we should remove it ASAP
-        }
-        # ?aggregate[count]=likes
-
-        if sort:
-            params["sort"] = ",".join(sort)
-
-        # Only public components or the ones created by the user
-        # check for "public" or "Public"
-
-        if filter_conditions:
-            params["filter"] = json.dumps({"_and": filter_conditions})
-
-        # If not liked, this means we are getting public components
-        # so we don't need to risk passing an invalid api_key
-        # and getting 401
-        api_key = api_key if use_api_key else None
-        results, metadata = await self._get(self.components_url, api_key, params)
-        if isinstance(results, dict):
-            results = [results]
-
-        results_objects = [ListComponentResponse(**result) for result in results]
-
-        return results_objects, metadata
-
-    async def get_liked_by_user_components(self, component_ids: List[str], api_key: str) -> List[str]:
-        # Get fields id
-        # filter should be "id is in component_ids AND liked_by directus_users_id token is api_key"
-        # return the ids
-        user_data = user_data_var.get()
-        if not user_data:
-            raise ValueError("No user data")
-        params = {
-            "fields": "id",
-            "filter": json.dumps(
-                {
-                    "_and": [
-                        {"id": {"_in": component_ids}},
-                        {"liked_by": {"directus_users_id": {"_eq": user_data["id"]}}},
-                    ]
-                }
-            ),
-        }
-        results, _ = await self._get(self.components_url, api_key, params)
-        return [result["id"] for result in results]
-
-    # Which of the components is parent of the user's components
-    async def get_components_in_users_collection(self, component_ids: List[str], api_key: str):
-        user_data = user_data_var.get()
-        if not user_data:
-            raise ValueError("No user data")
-        params = {
-            "fields": "id",
-            "filter": json.dumps(
-                {
-                    "_and": [
-                        {"user_created": {"_eq": user_data["id"]}},
-                        {"parent": {"_in": component_ids}},
-                    ]
-                }
-            ),
-        }
-        results, _ = await self._get(self.components_url, api_key, params)
-        return [result["id"] for result in results]
-
-    async def download(self, api_key: str, component_id: UUID) -> DownloadComponentResponse:
-        url = f"{self.components_url}/{component_id}"
-        params = {"fields": ",".join(["id", "name", "description", "data", "is_component", "metadata"])}
-        if not self.download_webhook_url:
-            raise ValueError("DOWNLOAD_WEBHOOK_URL is not set")
-        component, _ = await self._get(url, api_key, params)
-        await self.call_webhook(api_key, self.download_webhook_url, component_id)
-        if len(component) > 1:
-            raise ValueError("Something went wrong while downloading the component")
-        component_dict = component[0]
-
-        download_component = DownloadComponentResponse(**component_dict)
-        # Check if metadata is an empty dict
-        if download_component.metadata in [None, {}] and download_component.data is not None:
-            # If it is, we need to build the metadata
-            try:
-                download_component.metadata = process_component_data(download_component.data.get("nodes", []))
-            except KeyError:
-                raise ValueError("Invalid component data. No nodes found")
-        return download_component
-
-    async def upload(self, api_key: str, component_data: StoreComponentCreate) -> CreateComponentResponse:
-        headers = {"Authorization": f"Bearer {api_key}"}
-        component_dict = component_data.model_dump(exclude_unset=True)
-        # Parent is a UUID, but the store expects a string
-        response = None
-        if component_dict.get("parent"):
-            component_dict["parent"] = str(component_dict["parent"])
-
-        component_dict = process_tags_for_post(component_dict)
-        try:
-            # response = httpx.post(self.components_url, headers=headers, json=component_dict)
-            # response.raise_for_status()
-            async with httpx.AsyncClient() as client:
-                response = await client.post(self.components_url, headers=headers, json=component_dict)
-                response.raise_for_status()
-            component = response.json()["data"]
-            return CreateComponentResponse(**component)
-        except HTTPError as exc:
-            if response:
-                try:
-                    errors = response.json()
-                    message = errors["errors"][0]["message"]
-                    if message == "An unexpected error occurred.":
-                        # This is a bug in Directus that returns this error
-                        # when an error was thrown in the flow
-                        message = "You already have a component with this name. Please choose a different name."
-                    raise FilterError(message)
-                except UnboundLocalError:
-                    pass
-            raise ValueError(f"Upload failed: {exc}")
-
-    async def update(
-        self, api_key: str, component_id: UUID, component_data: StoreComponentCreate
-    ) -> CreateComponentResponse:
-        # Patch is the same as post, but we need to add the id to the url
-        headers = {"Authorization": f"Bearer {api_key}"}
-        component_dict = component_data.model_dump(exclude_unset=True)
-        # Parent is a UUID, but the store expects a string
-        response = None
-        if component_dict.get("parent"):
-            component_dict["parent"] = str(component_dict["parent"])
-
-        component_dict = process_tags_for_post(component_dict)
-        try:
-            # response = httpx.post(self.components_url, headers=headers, json=component_dict)
-            # response.raise_for_status()
-            async with httpx.AsyncClient() as client:
-                response = await client.patch(
-                    self.components_url + f"/{component_id}", headers=headers, json=component_dict
-                )
-                response.raise_for_status()
-            component = response.json()["data"]
-            return CreateComponentResponse(**component)
-        except HTTPError as exc:
-            if response:
-                try:
-                    errors = response.json()
-                    message = errors["errors"][0]["message"]
-                    if message == "An unexpected error occurred.":
-                        # This is a bug in Directus that returns this error
-                        # when an error was thrown in the flow
-                        message = "You already have a component with this name. Please choose a different name."
-                    raise FilterError(message)
-                except UnboundLocalError:
-                    pass
-            raise ValueError(f"Upload failed: {exc}")
-
-    async def get_tags(self) -> List[Dict[str, Any]]:
-        url = f"{self.base_url}/items/tags"
-        params = {"fields": ",".join(["id", "name"])}
-        tags, _ = await self._get(url, api_key=None, params=params)
-        return tags
-
-    async def get_user_likes(self, api_key: str) -> List[Dict[str, Any]]:
-        url = f"{self.base_url}/users/me"
-        params = {
-            "fields": ",".join(["id", "likes"]),
-        }
-        likes, _ = await self._get(url, api_key, params)
-        return likes
-
-    async def get_component_likes_count(self, component_id: str, api_key: Optional[str] = None) -> int:
-        url = f"{self.components_url}/{component_id}"
-
-        params = {
-            "fields": ",".join(["id", "count(liked_by)"]),
-        }
-        result, _ = await self._get(url, api_key=api_key, params=params)
-        if len(result) == 0:
-            raise ValueError("Component not found")
-        likes = result[0]["liked_by_count"]
-        # likes_by_count is a string
-        # try to convert it to int
-        try:
-            likes = int(likes)
-        except ValueError:
-            raise ValueError(f"Unexpected value for likes count: {likes}")
-        return likes
-
-    async def like_component(self, api_key: str, component_id: str) -> bool:
-        # if it returns a list with one id, it means the like was successful
-        # if it returns an int, it means the like was removed
-        if not self.like_webhook_url:
-            raise ValueError("LIKE_WEBHOOK_URL is not set")
-        headers = {"Authorization": f"Bearer {api_key}"}
-        # response = httpx.post(
-        #     self.like_webhook_url,
-        #     json={"component_id": str(component_id)},
-        #     headers=headers,
-        # )
-
-        # response.raise_for_status()
-        async with httpx.AsyncClient() as client:
-            response = await client.post(
-                self.like_webhook_url,
-                json={"component_id": str(component_id)},
-                headers=headers,
-            )
-            response.raise_for_status()
-        if response.status_code == 200:
-            result = response.json()
-
-            if isinstance(result, list):
-                return True
-            elif isinstance(result, int):
-                return False
-            else:
-                raise ValueError(f"Unexpected result: {result}")
-        else:
-            raise ValueError(f"Unexpected status code: {response.status_code}")
-
-    async def get_list_component_response_model(
-        self,
-        component_id: Optional[str] = None,
-        search: Optional[str] = None,
-        private: Optional[bool] = None,
-        tags: Optional[List[str]] = None,
-        is_component: Optional[bool] = None,
-        fields: Optional[List[str]] = None,
-        filter_by_user: bool = False,
-        liked: bool = False,
-        store_api_key: Optional[str] = None,
-        sort: Optional[List[str]] = None,
-        page: int = 1,
-        limit: int = 15,
-    ):
-        async with user_data_context(api_key=store_api_key, store_service=self):
-            filter_conditions: List[Dict[str, Any]] = self.build_filter_conditions(
-                component_id=component_id,
-                search=search,
-                private=private,
-                tags=tags,
-                is_component=is_component,
-                filter_by_user=filter_by_user,
-                liked=liked,
-                store_api_key=store_api_key,
-            )
-
-            result: List[ListComponentResponse] = []
-            authorized = False
-            metadata: Dict = {}
-            comp_count = 0
-            try:
-                result, metadata = await self.query_components(
-                    api_key=store_api_key,
-                    page=page,
-                    limit=limit,
-                    sort=sort,
-                    fields=fields,
-                    filter_conditions=filter_conditions,
-                    use_api_key=liked or filter_by_user,
-                )
-                if metadata:
-                    comp_count = metadata.get("filter_count", 0)
-            except HTTPStatusError as exc:
-                if exc.response.status_code == 403:
-                    raise ForbiddenError("You are not authorized to access this public resource") from exc
-                elif exc.response.status_code == 401:
-                    raise APIKeyError(
-                        "You are not authorized to access this resource. Please check your API key."
-                    ) from exc
-            except Exception as exc:
-                raise ValueError(f"Unexpected error: {exc}") from exc
-            try:
-                if result and not metadata:
-                    if len(result) >= limit:
-                        comp_count = await self.count_components(
-                            api_key=store_api_key,
-                            filter_conditions=filter_conditions,
-                            use_api_key=liked or filter_by_user,
-                        )
-                    else:
-                        comp_count = len(result)
-                elif not metadata:
-                    comp_count = 0
-            except HTTPStatusError as exc:
-                if exc.response.status_code == 403:
-                    raise ForbiddenError("You are not authorized to access this public resource")
-                elif exc.response.status_code == 401:
-                    raise APIKeyError("You are not authorized to access this resource. Please check your API key.")
-
-            if store_api_key:
-                # Now, from the result, we need to get the components
-                # the user likes and set the liked_by_user to True
-                # if any of the components does not have an id, it means
-                # we should not update the components
-
-                if not result or any(component.id is None for component in result):
-                    authorized = await self.check_api_key(store_api_key)
-                else:
-                    try:
-                        updated_result = await update_components_with_user_data(
-                            result, self, store_api_key, liked=liked
-                        )
-                        authorized = True
-                        result = updated_result
-                    except Exception:
-                        # If we get an error here, it means the user is not authorized
-                        authorized = False
-        return ListComponentResponseModel(results=result, authorized=authorized, count=comp_count)
diff --git a/src/backend/langflow/services/task/backends/base.py b/src/backend/langflow/services/task/backends/base.py
deleted file mode 100644
index ccbd9273be8..00000000000
--- a/src/backend/langflow/services/task/backends/base.py
+++ /dev/null
@@ -1,12 +0,0 @@
-from abc import ABC, abstractmethod
-from typing import Any, Callable
-
-
-class TaskBackend(ABC):
-    @abstractmethod
-    def launch_task(self, task_func: Callable[..., Any], *args: Any, **kwargs: Any):
-        pass
-
-    @abstractmethod
-    def get_task(self, task_id: str) -> Any:
-        pass
diff --git a/src/backend/langflow/services/task/factory.py b/src/backend/langflow/services/task/factory.py
deleted file mode 100644
index e87eecc94ee..00000000000
--- a/src/backend/langflow/services/task/factory.py
+++ /dev/null
@@ -1,11 +0,0 @@
-from langflow.services.task.service import TaskService
-from langflow.services.factory import ServiceFactory
-
-
-class TaskServiceFactory(ServiceFactory):
-    def __init__(self):
-        super().__init__(TaskService)
-
-    def create(self):
-        # Here you would have logic to create and configure a TaskService
-        return TaskService()
diff --git a/src/backend/langflow/services/task/service.py b/src/backend/langflow/services/task/service.py
deleted file mode 100644
index 3f7a81f2cef..00000000000
--- a/src/backend/langflow/services/task/service.py
+++ /dev/null
@@ -1,78 +0,0 @@
-from typing import Any, Callable, Coroutine, Union
-
-from langflow.services.base import Service
-from langflow.services.task.backends.anyio import AnyIOBackend
-from langflow.services.task.backends.base import TaskBackend
-from langflow.services.task.utils import get_celery_worker_status
-from langflow.utils.logger import configure
-from loguru import logger
-
-
-def check_celery_availability():
-    try:
-        from langflow.worker import celery_app
-
-        status = get_celery_worker_status(celery_app)
-        logger.debug(f"Celery status: {status}")
-    except Exception as exc:
-        logger.debug(f"Celery not available: {exc}")
-        status = {"availability": None}
-    return status
-
-
-try:
-    configure()
-    status = check_celery_availability()
-
-    USE_CELERY = status.get("availability") is not None
-except ImportError:
-    USE_CELERY = False
-
-
-class TaskService(Service):
-    name = "task_service"
-
-    def __init__(self):
-        self.backend = self.get_backend()
-        self.use_celery = USE_CELERY
-
-    @property
-    def backend_name(self) -> str:
-        return self.backend.name
-
-    def get_backend(self) -> TaskBackend:
-        if USE_CELERY:
-            from langflow.services.task.backends.celery import CeleryBackend
-
-            logger.debug("Using Celery backend")
-            return CeleryBackend()
-        logger.debug("Using AnyIO backend")
-        return AnyIOBackend()
-
-    # In your TaskService class
-    async def launch_and_await_task(
-        self,
-        task_func: Callable[..., Any],
-        *args: Any,
-        **kwargs: Any,
-    ) -> Any:
-        if not self.use_celery:
-            return None, await task_func(*args, **kwargs)
-        if not hasattr(task_func, "apply"):
-            raise ValueError(f"Task function {task_func} does not have an apply method")
-        task = task_func.apply(args=args, kwargs=kwargs)
-
-        result = task.get()
-        # if result is coroutine
-        if isinstance(result, Coroutine):
-            result = await result
-        return task.id, result
-
-    async def launch_task(self, task_func: Callable[..., Any], *args: Any, **kwargs: Any) -> Any:
-        logger.debug(f"Launching task {task_func} with args {args} and kwargs {kwargs}")
-        logger.debug(f"Using backend {self.backend}")
-        task = self.backend.launch_task(task_func, *args, **kwargs)
-        return await task if isinstance(task, Coroutine) else task
-
-    def get_task(self, task_id: Union[int, str]) -> Any:
-        return self.backend.get_task(task_id)
diff --git a/src/backend/langflow/services/utils.py b/src/backend/langflow/services/utils.py
deleted file mode 100644
index fcb07753832..00000000000
--- a/src/backend/langflow/services/utils.py
+++ /dev/null
@@ -1,223 +0,0 @@
-from loguru import logger
-from sqlmodel import Session, select
-
-from langflow.services.auth.utils import create_super_user, verify_password
-from langflow.services.database.utils import initialize_database
-from langflow.services.manager import service_manager
-from langflow.services.schema import ServiceType
-from langflow.services.settings.constants import (
-    DEFAULT_SUPERUSER,
-    DEFAULT_SUPERUSER_PASSWORD,
-)
-
-from .deps import get_db_service, get_session, get_settings_service
-
-
-def get_factories_and_deps():
-    from langflow.services.auth import factory as auth_factory
-    from langflow.services.cache import factory as cache_factory
-    from langflow.services.chat import factory as chat_factory
-    from langflow.services.credentials import factory as credentials_factory
-    from langflow.services.database import factory as database_factory
-    from langflow.services.plugins import factory as plugins_factory
-    from langflow.services.session import (
-        factory as session_service_factory,
-    )  # type: ignore
-    from langflow.services.settings import factory as settings_factory
-    from langflow.services.store import factory as store_factory
-    from langflow.services.task import factory as task_factory
-
-    return [
-        (settings_factory.SettingsServiceFactory(), []),
-        (
-            auth_factory.AuthServiceFactory(),
-            [ServiceType.SETTINGS_SERVICE],
-        ),
-        (
-            database_factory.DatabaseServiceFactory(),
-            [ServiceType.SETTINGS_SERVICE],
-        ),
-        (
-            cache_factory.CacheServiceFactory(),
-            [ServiceType.SETTINGS_SERVICE],
-        ),
-        (chat_factory.ChatServiceFactory(), []),
-        (task_factory.TaskServiceFactory(), []),
-        (
-            session_service_factory.SessionServiceFactory(),
-            [ServiceType.CACHE_SERVICE],
-        ),
-        (plugins_factory.PluginServiceFactory(), [ServiceType.SETTINGS_SERVICE]),
-        (store_factory.StoreServiceFactory(), [ServiceType.SETTINGS_SERVICE]),
-        (
-            credentials_factory.CredentialServiceFactory(),
-            [ServiceType.SETTINGS_SERVICE],
-        ),
-    ]
-
-
-def get_or_create_super_user(session: Session, username, password, is_default):
-    from langflow.services.database.models.user.model import User
-
-    user = session.exec(select(User).where(User.username == username)).first()
-
-    if user and user.is_superuser:
-        return None  # Superuser already exists
-
-    if user and is_default:
-        if user.is_superuser:
-            if verify_password(password, user.password):
-                return None
-            else:
-                # Superuser exists but password is incorrect
-                # which means that the user has changed the
-                # base superuser credentials.
-                # This means that the user has already created
-                # a superuser and changed the password in the UI
-                # so we don't need to do anything.
-                logger.debug(
-                    "Superuser exists but password is incorrect. "
-                    "This means that the user has changed the "
-                    "base superuser credentials."
-                )
-                return None
-        else:
-            logger.debug("User with superuser credentials exists but is not a superuser.")
-            return None
-
-    if user:
-        if verify_password(password, user.password):
-            raise ValueError("User with superuser credentials exists but is not a superuser.")
-        else:
-            raise ValueError("Incorrect superuser credentials")
-
-    if is_default:
-        logger.debug("Creating default superuser.")
-    else:
-        logger.debug("Creating superuser.")
-    try:
-        return create_super_user(username, password, db=session)
-    except Exception as exc:
-        if "UNIQUE constraint failed: user.username" in str(exc):
-            # This is to deal with workers running this
-            # at startup and trying to create the superuser
-            # at the same time.
-            logger.debug("Superuser already exists.")
-            return None
-
-
-def setup_superuser(settings_service, session: Session):
-    if settings_service.auth_settings.AUTO_LOGIN:
-        logger.debug("AUTO_LOGIN is set to True. Creating default superuser.")
-    else:
-        # Remove the default superuser if it exists
-        teardown_superuser(settings_service, session)
-
-    username = settings_service.auth_settings.SUPERUSER
-    password = settings_service.auth_settings.SUPERUSER_PASSWORD
-
-    is_default = (username == DEFAULT_SUPERUSER) and (password == DEFAULT_SUPERUSER_PASSWORD)
-
-    try:
-        user = get_or_create_super_user(session=session, username=username, password=password, is_default=is_default)
-        if user is not None:
-            logger.debug("Superuser created successfully.")
-    except Exception as exc:
-        logger.exception(exc)
-        raise RuntimeError("Could not create superuser. Please create a superuser manually.") from exc
-    finally:
-        settings_service.auth_settings.reset_credentials()
-
-
-def teardown_superuser(settings_service, session):
-    """
-    Teardown the superuser.
-    """
-    # If AUTO_LOGIN is True, we will remove the default superuser
-    # from the database.
-
-    if not settings_service.auth_settings.AUTO_LOGIN:
-        try:
-            logger.debug("AUTO_LOGIN is set to False. Removing default superuser if exists.")
-            username = DEFAULT_SUPERUSER
-            from langflow.services.database.models.user.model import User
-
-            user = session.exec(select(User).where(User.username == username)).first()
-            if user and user.is_superuser is True:
-                session.delete(user)
-                session.commit()
-                logger.debug("Default superuser removed successfully.")
-            else:
-                logger.debug("Default superuser not found.")
-        except Exception as exc:
-            logger.exception(exc)
-            raise RuntimeError("Could not remove default superuser.") from exc
-
-
-def teardown_services():
-    """
-    Teardown all the services.
-    """
-    try:
-        teardown_superuser(get_settings_service(), next(get_session()))
-    except Exception as exc:
-        logger.exception(exc)
-    try:
-        service_manager.teardown()
-    except Exception as exc:
-        logger.exception(exc)
-
-
-def initialize_settings_service():
-    """
-    Initialize the settings manager.
-    """
-    from langflow.services.settings import factory as settings_factory
-
-    service_manager.register_factory(settings_factory.SettingsServiceFactory())
-
-
-def initialize_session_service():
-    """
-    Initialize the session manager.
-    """
-    from langflow.services.cache import factory as cache_factory
-    from langflow.services.session import (
-        factory as session_service_factory,
-    )  # type: ignore
-
-    initialize_settings_service()
-
-    service_manager.register_factory(cache_factory.CacheServiceFactory(), dependencies=[ServiceType.SETTINGS_SERVICE])
-
-    service_manager.register_factory(
-        session_service_factory.SessionServiceFactory(),
-        dependencies=[ServiceType.CACHE_SERVICE],
-    )
-
-
-def initialize_services(fix_migration: bool = False):
-    """
-    Initialize all the services needed.
-    """
-    for factory, dependencies in get_factories_and_deps():
-        try:
-            service_manager.register_factory(factory, dependencies=dependencies)
-        except Exception as exc:
-            logger.exception(exc)
-            raise RuntimeError("Could not initialize services. Please check your settings.") from exc
-
-    # Test cache connection
-    service_manager.get(ServiceType.CACHE_SERVICE)
-    # Setup the superuser
-    try:
-        initialize_database(fix_migration=fix_migration)
-    except Exception as exc:
-        logger.error(exc)
-        raise exc
-    setup_superuser(service_manager.get(ServiceType.SETTINGS_SERVICE), next(get_session()))
-    try:
-        get_db_service().migrate_flows_if_auto_login()
-    except Exception as exc:
-        logger.error(f"Error migrating flows: {exc}")
-        raise RuntimeError("Error migrating flows") from exc
diff --git a/src/backend/langflow/settings.py b/src/backend/langflow/settings.py
deleted file mode 100644
index 9cc761b6809..00000000000
--- a/src/backend/langflow/settings.py
+++ /dev/null
@@ -1,168 +0,0 @@
-import contextlib
-import json
-import os
-from pathlib import Path
-from typing import List, Optional
-
-import yaml
-from pydantic import model_validator, validator
-from pydantic_settings import BaseSettings
-
-from langflow.utils.logger import logger
-
-BASE_COMPONENTS_PATH = str(Path(__file__).parent / "components")
-
-
-class Settings(BaseSettings):
-    CHAINS: dict = {}
-    AGENTS: dict = {}
-    PROMPTS: dict = {}
-    LLMS: dict = {}
-    TOOLS: dict = {}
-    MEMORIES: dict = {}
-    EMBEDDINGS: dict = {}
-    VECTORSTORES: dict = {}
-    DOCUMENTLOADERS: dict = {}
-    WRAPPERS: dict = {}
-    RETRIEVERS: dict = {}
-    TOOLKITS: dict = {}
-    TEXTSPLITTERS: dict = {}
-    UTILITIES: dict = {}
-    OUTPUT_PARSERS: dict = {}
-    CUSTOM_COMPONENTS: dict = {}
-
-    DEV: bool = False
-    DATABASE_URL: Optional[str] = None
-    CACHE: str = "InMemoryCache"
-    REMOVE_API_KEYS: bool = False
-    COMPONENTS_PATH: List[str] = []
-
-    @validator("DATABASE_URL", pre=True)
-    def set_database_url(cls, value):
-        if not value:
-            logger.debug("No database_url provided, trying LANGFLOW_DATABASE_URL env variable")
-            if langflow_database_url := os.getenv("LANGFLOW_DATABASE_URL"):
-                value = langflow_database_url
-                logger.debug("Using LANGFLOW_DATABASE_URL env variable.")
-            else:
-                logger.debug("No DATABASE_URL env variable, using sqlite database")
-                value = "sqlite:///./langflow.db"
-        return value
-
-    @validator("COMPONENTS_PATH", pre=True)
-    def set_components_path(cls, value):
-        if os.getenv("LANGFLOW_COMPONENTS_PATH"):
-            logger.debug("Adding LANGFLOW_COMPONENTS_PATH to components_path")
-            langflow_component_path = os.getenv("LANGFLOW_COMPONENTS_PATH")
-            if Path(langflow_component_path).exists() and langflow_component_path not in value:
-                if isinstance(langflow_component_path, list):
-                    for path in langflow_component_path:
-                        if path not in value:
-                            value.append(path)
-                    logger.debug(f"Extending {langflow_component_path} to components_path")
-                elif langflow_component_path not in value:
-                    value.append(langflow_component_path)
-                    logger.debug(f"Appending {langflow_component_path} to components_path")
-
-        if not value:
-            value = [BASE_COMPONENTS_PATH]
-            logger.debug("Setting default components path to components_path")
-        elif BASE_COMPONENTS_PATH not in value:
-            value.append(BASE_COMPONENTS_PATH)
-            logger.debug("Adding default components path to components_path")
-
-        logger.debug(f"Components path: {value}")
-        return value
-
-    class Config:
-        validate_assignment = True
-        extra = "ignore"
-        env_prefix = "LANGFLOW_"
-
-    @model_validator(mode="after")
-    def validate_lists(cls, values):
-        for key, value in values.items():
-            if key != "dev" and not value:
-                values[key] = []
-        return values
-
-    def update_from_yaml(self, file_path: str, dev: bool = False):
-        new_settings = load_settings_from_yaml(file_path)
-        self.CHAINS = new_settings.CHAINS or {}
-        self.AGENTS = new_settings.AGENTS or {}
-        self.PROMPTS = new_settings.PROMPTS or {}
-        self.LLMS = new_settings.LLMS or {}
-        self.TOOLS = new_settings.TOOLS or {}
-        self.MEMORIES = new_settings.MEMORIES or {}
-        self.WRAPPERS = new_settings.WRAPPERS or {}
-        self.TOOLKITS = new_settings.TOOLKITS or {}
-        self.TEXTSPLITTERS = new_settings.TEXTSPLITTERS or {}
-        self.UTILITIES = new_settings.UTILITIES or {}
-        self.EMBEDDINGS = new_settings.EMBEDDINGS or {}
-        self.VECTORSTORES = new_settings.VECTORSTORES or {}
-        self.DOCUMENTLOADERS = new_settings.DOCUMENTLOADERS or {}
-        self.RETRIEVERS = new_settings.RETRIEVERS or {}
-        self.OUTPUT_PARSERS = new_settings.OUTPUT_PARSERS or {}
-        self.CUSTOM_COMPONENTS = new_settings.CUSTOM_COMPONENTS or {}
-        self.COMPONENTS_PATH = new_settings.COMPONENTS_PATH or []
-        self.DEV = dev
-
-    def update_settings(self, **kwargs):
-        logger.debug("Updating settings")
-        for key, value in kwargs.items():
-            # value may contain sensitive information, so we don't want to log it
-            if not hasattr(self, key):
-                logger.debug(f"Key {key} not found in settings")
-                continue
-            logger.debug(f"Updating {key}")
-            if isinstance(getattr(self, key), list):
-                # value might be a '[something]' string
-                with contextlib.suppress(json.decoder.JSONDecodeError):
-                    value = json.loads(str(value))
-                if isinstance(value, list):
-                    for item in value:
-                        if isinstance(item, Path):
-                            item = str(item)
-                        if item not in getattr(self, key):
-                            getattr(self, key).append(item)
-                    logger.debug(f"Extended {key}")
-                else:
-                    if isinstance(value, Path):
-                        value = str(value)
-                    if value not in getattr(self, key):
-                        getattr(self, key).append(value)
-                        logger.debug(f"Appended {key}")
-
-            else:
-                setattr(self, key, value)
-                logger.debug(f"Updated {key}")
-            logger.debug(f"{key}: {getattr(self, key)}")
-
-
-def save_settings_to_yaml(settings: Settings, file_path: str):
-    with open(file_path, "w") as f:
-        settings_dict = settings.model_dump()
-        yaml.dump(settings_dict, f)
-
-
-def load_settings_from_yaml(file_path: str) -> Settings:
-    # Check if a string is a valid path or a file name
-    if "/" not in file_path:
-        # Get current path
-        current_path = os.path.dirname(os.path.abspath(__file__))
-
-        file_path = os.path.join(current_path, file_path)
-
-    with open(file_path, "r") as f:
-        settings_dict = yaml.safe_load(f)
-        settings_dict = {k.upper(): v for k, v in settings_dict.items()}
-
-        for key in settings_dict:
-            if key not in Settings.model_fields.keys():
-                raise KeyError(f"Key {key} not found in settings")
-            logger.debug(f"Loading {len(settings_dict[key])} {key} from {file_path}")
-
-    return Settings(**settings_dict)
-
-
-settings = load_settings_from_yaml("config.yaml")
diff --git a/src/backend/langflow/template/field/base.py b/src/backend/langflow/template/field/base.py
deleted file mode 100644
index 798d07b5534..00000000000
--- a/src/backend/langflow/template/field/base.py
+++ /dev/null
@@ -1,92 +0,0 @@
-from typing import Any, Callable, Optional, Union
-
-from langflow.field_typing.range_spec import RangeSpec
-from pydantic import BaseModel, ConfigDict, Field, field_serializer
-
-
-class TemplateField(BaseModel):
-    model_config = ConfigDict()
-    field_type: str = Field(default="str", serialization_alias="type")
-    """The type of field this is. Default is a string."""
-
-    required: bool = False
-    """Specifies if the field is required. Defaults to False."""
-
-    placeholder: str = ""
-    """A placeholder string for the field. Default is an empty string."""
-
-    is_list: bool = Field(default=False, serialization_alias="list")
-    """Defines if the field is a list. Default is False."""
-
-    show: bool = True
-    """Should the field be shown. Defaults to True."""
-
-    multiline: bool = False
-    """Defines if the field will allow the user to open a text editor. Default is False."""
-
-    value: Any = ""
-    """The value of the field. Default is None."""
-
-    file_types: list[str] = Field(default=[], serialization_alias="fileTypes")
-    """List of file types associated with the field. Default is an empty list. (duplicate)"""
-
-    file_path: Optional[str] = ""
-    """The file path of the field if it is a file. Defaults to None."""
-
-    password: bool = False
-    """Specifies if the field is a password. Defaults to False."""
-
-    options: Optional[Union[list[str], Callable]] = None
-    """List of options for the field. Only used when is_list=True. Default is an empty list."""
-
-    name: Optional[str] = None
-    """Name of the field. Default is an empty string."""
-
-    display_name: Optional[str] = None
-    """Display name of the field. Defaults to None."""
-
-    advanced: bool = False
-    """Specifies if the field will an advanced parameter (hidden). Defaults to False."""
-
-    input_types: Optional[list[str]] = None
-    """List of input types for the handle when the field has more than one type. Default is an empty list."""
-
-    dynamic: bool = False
-    """Specifies if the field is dynamic. Defaults to False."""
-
-    info: Optional[str] = ""
-    """Additional information about the field to be shown in the tooltip. Defaults to an empty string."""
-
-    refresh: Optional[bool] = None
-    """Specifies if the field should be refreshed. Defaults to False."""
-
-    range_spec: Optional[RangeSpec] = Field(default=None, serialization_alias="rangeSpec")
-    """Range specification for the field. Defaults to None."""
-
-    title_case: bool = True
-    """Specifies if the field should be displayed in title case. Defaults to True."""
-
-    def to_dict(self):
-        return self.model_dump(by_alias=True, exclude_none=True)
-
-    @field_serializer("file_path")
-    def serialize_file_path(self, value):
-        return value if self.field_type == "file" else ""
-
-    @field_serializer("field_type")
-    def serialize_field_type(self, value, _info):
-        if value == "float" and self.range_spec is None:
-            self.range_spec = RangeSpec()
-        return value
-
-    @field_serializer("display_name")
-    def serialize_display_name(self, value, _info):
-        # If display_name is not set, use name and convert to title case
-        # if title_case is True
-        if value is None:
-            # name is probably a snake_case string
-            # Ex: "file_path" -> "File Path"
-            value = self.name.replace("_", " ")
-            if self.title_case:
-                value = value.title()
-        return value
diff --git a/src/backend/langflow/template/frontend_node/__init__.py b/src/backend/langflow/template/frontend_node/__init__.py
deleted file mode 100644
index e13aa1ded13..00000000000
--- a/src/backend/langflow/template/frontend_node/__init__.py
+++ /dev/null
@@ -1,27 +0,0 @@
-from langflow.template.frontend_node import (
-    agents,
-    chains,
-    embeddings,
-    llms,
-    memories,
-    prompts,
-    tools,
-    vectorstores,
-    documentloaders,
-    textsplitters,
-    custom_components,
-)
-
-__all__ = [
-    "agents",
-    "chains",
-    "embeddings",
-    "memories",
-    "tools",
-    "llms",
-    "prompts",
-    "vectorstores",
-    "documentloaders",
-    "textsplitters",
-    "custom_components",
-]
diff --git a/src/backend/langflow/template/frontend_node/agents.py b/src/backend/langflow/template/frontend_node/agents.py
deleted file mode 100644
index 361abf53124..00000000000
--- a/src/backend/langflow/template/frontend_node/agents.py
+++ /dev/null
@@ -1,170 +0,0 @@
-from typing import Optional
-
-from langchain.agents import types
-from langflow.template.field.base import TemplateField
-from langflow.template.frontend_node.base import FrontendNode
-from langflow.template.template.base import Template
-
-NON_CHAT_AGENTS = {
-    agent_type: agent_class
-    for agent_type, agent_class in types.AGENT_TO_CLASS.items()
-    if "chat" not in agent_type.value
-}
-
-
-class AgentFrontendNode(FrontendNode):
-    @staticmethod
-    def format_field(field: TemplateField, name: Optional[str] = None) -> None:
-        if field.name in ["suffix", "prefix"]:
-            field.show = True
-        if field.name == "Tools" and name == "ZeroShotAgent":
-            field.field_type = "BaseTool"
-            field.is_list = True
-
-
-class SQLAgentNode(FrontendNode):
-    name: str = "SQLAgent"
-    template: Template = Template(
-        type_name="sql_agent",
-        fields=[
-            TemplateField(
-                field_type="str",  # pyright: ignore
-                required=True,
-                placeholder="",
-                is_list=False,  # pyright: ignore
-                show=True,
-                multiline=False,
-                value="",
-                name="database_uri",
-            ),
-            TemplateField(
-                field_type="BaseLanguageModel",  # pyright: ignore
-                required=True,
-                show=True,
-                name="llm",
-                display_name="LLM",
-            ),
-        ],
-    )
-    description: str = """Construct an SQL agent from an LLM and tools."""
-    base_classes: list[str] = ["AgentExecutor"]
-
-
-class VectorStoreRouterAgentNode(FrontendNode):
-    name: str = "VectorStoreRouterAgent"
-    template: Template = Template(
-        type_name="vectorstorerouter_agent",
-        fields=[
-            TemplateField(
-                field_type="VectorStoreRouterToolkit",  # pyright: ignore
-                required=True,
-                show=True,
-                name="vectorstoreroutertoolkit",
-                display_name="Vector Store Router Toolkit",
-            ),
-            TemplateField(
-                field_type="BaseLanguageModel",  # pyright: ignore
-                required=True,
-                show=True,
-                name="llm",
-                display_name="LLM",
-            ),
-        ],
-    )
-    description: str = """Construct an agent from a Vector Store Router."""
-    base_classes: list[str] = ["AgentExecutor"]
-
-
-class VectorStoreAgentNode(FrontendNode):
-    name: str = "VectorStoreAgent"
-    template: Template = Template(
-        type_name="vectorstore_agent",
-        fields=[
-            TemplateField(
-                field_type="VectorStoreInfo",  # pyright: ignore
-                required=True,
-                show=True,
-                name="vectorstoreinfo",
-                display_name="Vector Store Info",
-            ),
-            TemplateField(
-                field_type="BaseLanguageModel",  # pyright: ignore
-                required=True,
-                show=True,
-                name="llm",
-                display_name="LLM",
-            ),
-        ],
-    )
-    description: str = """Construct an agent from a Vector Store."""
-    base_classes: list[str] = ["AgentExecutor"]
-
-
-class SQLDatabaseNode(FrontendNode):
-    name: str = "SQLDatabase"
-    template: Template = Template(
-        type_name="sql_database",
-        fields=[
-            TemplateField(
-                field_type="str",  # pyright: ignore
-                required=True,
-                is_list=False,  # pyright: ignore
-                show=True,
-                multiline=False,
-                value="",
-                name="uri",
-            ),
-        ],
-    )
-    description: str = """SQLAlchemy wrapper around a database."""
-    base_classes: list[str] = ["SQLDatabase"]
-
-
-class CSVAgentNode(FrontendNode):
-    name: str = "CSVAgent"
-    template: Template = Template(
-        type_name="csv_agent",
-        fields=[
-            TemplateField(
-                field_type="file",  # pyright: ignore
-                required=True,
-                show=True,
-                name="path",
-                value="",
-                file_types=[".csv"],  # pyright: ignore
-            ),
-            TemplateField(
-                field_type="BaseLanguageModel",  # pyright: ignore
-                required=True,
-                show=True,
-                name="llm",
-                display_name="LLM",
-            ),
-        ],
-    )
-    description: str = """Construct a CSV agent from a CSV and tools."""
-    base_classes: list[str] = ["AgentExecutor"]
-
-
-class JsonAgentNode(FrontendNode):
-    name: str = "JsonAgent"
-    template: Template = Template(
-        type_name="json_agent",
-        fields=[
-            TemplateField(
-                field_type="BaseToolkit",  # pyright: ignore
-                required=True,
-                show=True,
-                name="toolkit",
-            ),
-            TemplateField(
-                field_type="BaseLanguageModel",  # pyright: ignore
-                required=True,
-                show=True,
-                name="llm",
-                display_name="LLM",
-            ),
-        ],
-    )
-    description: str = """Construct a json agent from an LLM and tools."""
-    base_classes: list[str] = ["AgentExecutor"]
diff --git a/src/backend/langflow/template/frontend_node/base.py b/src/backend/langflow/template/frontend_node/base.py
deleted file mode 100644
index daef4f9a8f7..00000000000
--- a/src/backend/langflow/template/frontend_node/base.py
+++ /dev/null
@@ -1,256 +0,0 @@
-import re
-from collections import defaultdict
-from typing import ClassVar, Dict, List, Optional, Union
-
-from langflow.template.field.base import TemplateField
-from langflow.template.frontend_node.constants import CLASSES_TO_REMOVE, FORCE_SHOW_FIELDS
-from langflow.template.frontend_node.formatter import field_formatters
-from langflow.template.template.base import Template
-from langflow.utils import constants
-from pydantic import BaseModel, Field, field_serializer, model_serializer
-
-
-class FieldFormatters(BaseModel):
-    formatters: ClassVar[Dict] = {
-        "openai_api_key": field_formatters.OpenAIAPIKeyFormatter(),
-    }
-    base_formatters: ClassVar[Dict] = {
-        "kwargs": field_formatters.KwargsFormatter(),
-        "optional": field_formatters.RemoveOptionalFormatter(),
-        "list": field_formatters.ListTypeFormatter(),
-        "dict": field_formatters.DictTypeFormatter(),
-        "union": field_formatters.UnionTypeFormatter(),
-        "multiline": field_formatters.MultilineFieldFormatter(),
-        "show": field_formatters.ShowFieldFormatter(),
-        "password": field_formatters.PasswordFieldFormatter(),
-        "default": field_formatters.DefaultValueFormatter(),
-        "headers": field_formatters.HeadersDefaultValueFormatter(),
-        "dict_code_file": field_formatters.DictCodeFileFormatter(),
-        "model_fields": field_formatters.ModelSpecificFieldFormatter(),
-    }
-
-    def format(self, field: TemplateField, name: Optional[str] = None) -> None:
-        for key, formatter in self.base_formatters.items():
-            formatter.format(field, name)
-
-        for key, formatter in self.formatters.items():
-            if key == field.name:
-                formatter.format(field, name)
-
-
-class FrontendNode(BaseModel):
-    _format_template: bool = True
-    template: Template
-    description: Optional[str] = None
-    icon: Optional[str] = None
-    base_classes: List[str]
-    name: str = ""
-    display_name: Optional[str] = ""
-    documentation: str = ""
-    custom_fields: Optional[Dict] = defaultdict(list)
-    output_types: List[str] = []
-    full_path: Optional[str] = None
-    field_formatters: FieldFormatters = Field(default_factory=FieldFormatters)
-
-    beta: bool = False
-    error: Optional[str] = None
-
-    # field formatters is an instance attribute but it is not used in the class
-    # so we need to create a method to get it
-    @staticmethod
-    def get_field_formatters() -> FieldFormatters:
-        return FieldFormatters()
-
-    def set_documentation(self, documentation: str) -> None:
-        """Sets the documentation of the frontend node."""
-        self.documentation = documentation
-
-    @field_serializer("base_classes")
-    def process_base_classes(self, base_classes: List[str]) -> List[str]:
-        """Removes unwanted base classes from the list of base classes."""
-
-        return [base_class for base_class in base_classes if base_class not in CLASSES_TO_REMOVE]
-
-    @field_serializer("display_name")
-    def process_display_name(self, display_name: str) -> str:
-        """Sets the display name of the frontend node."""
-
-        return display_name or self.name
-
-    @model_serializer(mode="wrap")
-    def serialize_model(self, handler):
-        result = handler(self)
-        if hasattr(self, "template") and hasattr(self.template, "to_dict"):
-            format_func = self.format_field if self._format_template else None
-            result["template"] = self.template.to_dict(format_func)
-        name = result.pop("name")
-
-        return {name: result}
-
-    # For backwards compatibility
-    def to_dict(self, add_name=True) -> dict:
-        """Returns a dict representation of the frontend node."""
-        dump = self.model_dump(by_alias=True, exclude_none=True)
-        if not add_name:
-            return dump.pop(self.name)
-        return dump
-
-    def add_extra_fields(self) -> None:
-        pass
-
-    def add_extra_base_classes(self) -> None:
-        pass
-
-    def add_base_class(self, base_class: Union[str, List[str]]) -> None:
-        """Adds a base class to the frontend node."""
-        if isinstance(base_class, str):
-            self.base_classes.append(base_class)
-        elif isinstance(base_class, list):
-            self.base_classes.extend(base_class)
-
-    def add_output_type(self, output_type: Union[str, List[str]]) -> None:
-        """Adds an output type to the frontend node."""
-        if isinstance(output_type, str):
-            self.output_types.append(output_type)
-        elif isinstance(output_type, list):
-            self.output_types.extend(output_type)
-
-    @staticmethod
-    def format_field(field: TemplateField, name: Optional[str] = None) -> None:
-        """Formats a given field based on its attributes and value."""
-
-        FrontendNode.get_field_formatters().format(field, name)
-
-    @staticmethod
-    def remove_optional(_type: str) -> str:
-        """Removes 'Optional' wrapper from the type if present."""
-        return re.sub(r"Optional\[(.*)\]", r"\1", _type)
-
-    @staticmethod
-    def check_for_list_type(_type: str) -> tuple:
-        """Checks for list type and returns the modified type and a boolean indicating if it's a list."""
-        is_list = "List" in _type or "Sequence" in _type
-        if is_list:
-            _type = re.sub(r"(List|Sequence)\[(.*)\]", r"\2", _type)
-        return _type, is_list
-
-    @staticmethod
-    def replace_mapping_with_dict(_type: str) -> str:
-        """Replaces 'Mapping' with 'dict'."""
-        return _type.replace("Mapping", "dict")
-
-    @staticmethod
-    def handle_union_type(_type: str) -> str:
-        """Simplifies the 'Union' type to the first type in the Union."""
-        if "Union" in _type:
-            _type = _type.replace("Union[", "")[:-1]
-            _type = _type.split(",")[0]
-            _type = _type.replace("]", "").replace("[", "")
-        return _type
-
-    @staticmethod
-    def handle_special_field(field, key: str, _type: str, SPECIAL_FIELD_HANDLERS) -> str:
-        """Handles special field by using the respective handler if present."""
-        handler = SPECIAL_FIELD_HANDLERS.get(key)
-        return handler(field) if handler else _type
-
-    @staticmethod
-    def handle_dict_type(field: TemplateField, _type: str) -> str:
-        """Handles 'dict' type by replacing it with 'code' or 'file' based on the field name."""
-        if "dict" in _type.lower() and field.name == "dict_":
-            field.field_type = "file"
-            field.file_types = [".json", ".yaml", ".yml"]
-        elif _type.startswith("Dict") or _type.startswith("Mapping") or _type.startswith("dict"):
-            field.field_type = "dict"
-        return _type
-
-    @staticmethod
-    def replace_default_value(field: TemplateField, value: dict) -> None:
-        """Replaces default value with actual value if 'default' is present in value."""
-        if "default" in value:
-            field.value = value["default"]
-
-    @staticmethod
-    def handle_specific_field_values(field: TemplateField, key: str, name: Optional[str] = None) -> None:
-        """Handles specific field values for certain fields."""
-        if key == "headers":
-            field.value = """{"Authorization": "Bearer <token>"}"""
-        FrontendNode._handle_model_specific_field_values(field, key, name)
-        FrontendNode._handle_api_key_specific_field_values(field, key, name)
-
-    @staticmethod
-    def _handle_model_specific_field_values(field: TemplateField, key: str, name: Optional[str] = None) -> None:
-        """Handles specific field values related to models."""
-        model_dict = {
-            "OpenAI": constants.OPENAI_MODELS,
-            "ChatOpenAI": constants.CHAT_OPENAI_MODELS,
-            "Anthropic": constants.ANTHROPIC_MODELS,
-            "ChatAnthropic": constants.ANTHROPIC_MODELS,
-        }
-        if name in model_dict and key == "model_name":
-            field.options = model_dict[name]
-            field.is_list = True
-
-    @staticmethod
-    def _handle_api_key_specific_field_values(field: TemplateField, key: str, name: Optional[str] = None) -> None:
-        """Handles specific field values related to API keys."""
-        if "api_key" in key and "OpenAI" in str(name):
-            field.display_name = "OpenAI API Key"
-            field.required = False
-            if field.value is None:
-                field.value = ""
-
-    @staticmethod
-    def handle_kwargs_field(field: TemplateField) -> None:
-        """Handles kwargs field by setting certain attributes."""
-
-        if "kwargs" in (field.name or "").lower():
-            field.advanced = True
-            field.required = False
-            field.show = False
-
-    @staticmethod
-    def handle_api_key_field(field: TemplateField, key: str) -> None:
-        """Handles api key field by setting certain attributes."""
-        if "api" in key.lower() and "key" in key.lower():
-            field.required = False
-            field.advanced = False
-
-            field.display_name = key.replace("_", " ").title()
-            field.display_name = field.display_name.replace("Api", "API")
-
-    @staticmethod
-    def should_show_field(key: str, required: bool) -> bool:
-        """Determines whether the field should be shown."""
-        return (
-            (required and key not in ["input_variables"])
-            or key in FORCE_SHOW_FIELDS
-            or "api" in key
-            or ("key" in key and "input" not in key and "output" not in key)
-        )
-
-    @staticmethod
-    def should_be_password(key: str, show: bool) -> bool:
-        """Determines whether the field should be a password field."""
-        return any(text in key.lower() for text in {"password", "token", "api", "key"}) and show
-
-    @staticmethod
-    def should_be_multiline(key: str) -> bool:
-        """Determines whether the field should be multiline."""
-        return key in {
-            "suffix",
-            "prefix",
-            "template",
-            "examples",
-            "code",
-            "headers",
-            "description",
-        }
-
-    @staticmethod
-    def set_field_default_value(field: TemplateField, value: dict, key: str) -> None:
-        """Sets the field value with the default value if present."""
-        if "default" in value:
-            field.value = value["default"]
-        if key == "headers":
-            field.value = """{"Authorization": "Bearer <token>"}"""
diff --git a/src/backend/langflow/template/frontend_node/chains.py b/src/backend/langflow/template/frontend_node/chains.py
deleted file mode 100644
index 5ff211f682b..00000000000
--- a/src/backend/langflow/template/frontend_node/chains.py
+++ /dev/null
@@ -1,253 +0,0 @@
-from typing import Optional
-
-from langflow.template.field.base import TemplateField
-from langflow.template.frontend_node.base import FrontendNode
-from langflow.template.frontend_node.constants import QA_CHAIN_TYPES
-from langflow.template.template.base import Template
-
-
-class ChainFrontendNode(FrontendNode):
-    def add_extra_fields(self) -> None:
-        if self.template.type_name == "ConversationalRetrievalChain":
-            # add memory
-            self.template.add_field(
-                TemplateField(
-                    field_type="BaseChatMemory",
-                    required=True,
-                    show=True,
-                    name="memory",
-                    advanced=False,
-                )
-            )
-            # add return_source_documents
-            self.template.add_field(
-                TemplateField(
-                    field_type="bool",
-                    required=False,
-                    show=True,
-                    name="return_source_documents",
-                    advanced=False,
-                    value=True,
-                    display_name="Return source documents",
-                )
-            )
-            self.template.add_field(
-                TemplateField(
-                    field_type="str",
-                    required=True,
-                    is_list=True,
-                    show=True,
-                    multiline=False,
-                    options=QA_CHAIN_TYPES,
-                    value=QA_CHAIN_TYPES[0],
-                    name="chain_type",
-                    advanced=False,
-                )
-            )
-
-    @staticmethod
-    def format_field(field: TemplateField, name: Optional[str] = None) -> None:
-        FrontendNode.format_field(field, name)
-        key = field.name or ""
-        if "name" == "RetrievalQA" and key == "memory":
-            field.show = False
-            field.required = False
-
-        field.advanced = False
-        if "key" in key:
-            field.password = False
-            field.show = False
-        if key in ["input_key", "output_key"]:
-            field.required = True
-            field.show = True
-            field.advanced = True
-
-        # We should think of a way to deal with this later
-        # if field.field_type == "PromptTemplate":
-        #     field.field_type = "str"
-        #     field.multiline = True
-        #     field.show = True
-        #     field.advanced = False
-        #     field.value = field.value.template
-
-        # Separated for possible future changes
-        if key == "prompt" and field.value is None:
-            field.required = True
-            field.show = True
-            field.advanced = False
-        if key == "memory":
-            # field.required = False
-            field.show = True
-            field.advanced = False
-        if key == "verbose":
-            field.required = False
-            field.show = False
-            field.advanced = True
-        if key == "llm":
-            field.required = True
-            field.show = True
-            field.advanced = False
-            field.field_type = "BaseLanguageModel"  # temporary fix
-            field.is_list = False
-
-        if key == "return_source_documents":
-            field.required = False
-            field.show = True
-            field.advanced = True
-            field.value = True
-
-
-class SeriesCharacterChainNode(FrontendNode):
-    name: str = "SeriesCharacterChain"
-    template: Template = Template(
-        type_name="SeriesCharacterChain",
-        fields=[
-            TemplateField(
-                field_type="str",
-                required=True,
-                placeholder="",
-                is_list=False,
-                show=True,
-                advanced=False,
-                multiline=False,
-                name="character",
-            ),
-            TemplateField(
-                field_type="str",
-                required=True,
-                placeholder="",
-                is_list=False,
-                show=True,
-                advanced=False,
-                multiline=False,
-                name="series",
-            ),
-            TemplateField(
-                field_type="BaseLanguageModel",
-                required=True,
-                placeholder="",
-                is_list=False,
-                show=True,
-                advanced=False,
-                multiline=False,
-                name="llm",
-                display_name="LLM",
-            ),
-        ],
-    )
-    description: str = (
-        "SeriesCharacterChain is a chain you can use to have a conversation with a character from a series."  # noqa
-    )
-    base_classes: list[str] = [
-        "LLMChain",
-        "BaseCustomChain",
-        "Chain",
-        "ConversationChain",
-        "SeriesCharacterChain",
-        "Callable",
-    ]
-
-
-class TimeTravelGuideChainNode(FrontendNode):
-    name: str = "TimeTravelGuideChain"
-    template: Template = Template(
-        type_name="TimeTravelGuideChain",
-        fields=[
-            TemplateField(
-                field_type="BaseLanguageModel",
-                required=True,
-                placeholder="",
-                is_list=False,
-                show=True,
-                advanced=False,
-                multiline=False,
-                name="llm",
-                display_name="LLM",
-            ),
-            TemplateField(
-                field_type="BaseChatMemory",
-                required=False,
-                show=True,
-                name="memory",
-                advanced=False,
-            ),
-        ],
-    )
-    description: str = "Time travel guide chain."
-    base_classes: list[str] = [
-        "LLMChain",
-        "BaseCustomChain",
-        "TimeTravelGuideChain",
-        "Chain",
-        "ConversationChain",
-    ]
-
-
-class MidJourneyPromptChainNode(FrontendNode):
-    name: str = "MidJourneyPromptChain"
-    template: Template = Template(
-        type_name="MidJourneyPromptChain",
-        fields=[
-            TemplateField(
-                field_type="BaseLanguageModel",
-                required=True,
-                placeholder="",
-                is_list=False,
-                show=True,
-                advanced=False,
-                multiline=False,
-                name="llm",
-                display_name="LLM",
-            ),
-            TemplateField(
-                field_type="BaseChatMemory",
-                required=False,
-                show=True,
-                name="memory",
-                advanced=False,
-            ),
-        ],
-    )
-    description: str = "MidJourneyPromptChain is a chain you can use to generate new MidJourney prompts."
-    base_classes: list[str] = [
-        "LLMChain",
-        "BaseCustomChain",
-        "Chain",
-        "ConversationChain",
-        "MidJourneyPromptChain",
-    ]
-
-
-class CombineDocsChainNode(FrontendNode):
-    name: str = "CombineDocsChain"
-    template: Template = Template(
-        type_name="load_qa_chain",
-        fields=[
-            TemplateField(
-                field_type="str",
-                required=True,
-                is_list=True,
-                show=True,
-                multiline=False,
-                options=QA_CHAIN_TYPES,
-                value=QA_CHAIN_TYPES[0],
-                name="chain_type",
-                advanced=False,
-            ),
-            TemplateField(
-                field_type="BaseLanguageModel",
-                required=True,
-                show=True,
-                name="llm",
-                display_name="LLM",
-                advanced=False,
-            ),
-        ],
-    )
-    description: str = """Load question answering chain."""
-    base_classes: list[str] = ["BaseCombineDocumentsChain", "Callable"]
-
-    @staticmethod
-    def format_field(field: TemplateField, name: Optional[str] = None) -> None:
-        # do nothing and don't return anything
-        pass
diff --git a/src/backend/langflow/template/frontend_node/constants.py b/src/backend/langflow/template/frontend_node/constants.py
deleted file mode 100644
index a213a2744f8..00000000000
--- a/src/backend/langflow/template/frontend_node/constants.py
+++ /dev/null
@@ -1,75 +0,0 @@
-FORCE_SHOW_FIELDS = [
-    "allowed_tools",
-    "memory",
-    "prefix",
-    "examples",
-    "temperature",
-    "model_name",
-    "headers",
-    "max_value_length",
-    "max_tokens",
-    "google_cse_id",
-]
-
-DEFAULT_PROMPT = """
-I want you to act as a naming consultant for new companies.
-
-Here are some examples of good company names:
-
-- search engine, Google
-- social media, Facebook
-- video sharing, YouTube
-
-The name should be short, catchy and easy to remember.
-
-What is a good name for a company that makes {product}?
-"""
-
-SYSTEM_PROMPT = """
-You are a helpful assistant that talks casually about life in general.
-You are a good listener and you can talk about anything.
-"""
-
-HUMAN_PROMPT = "{input}"
-
-QA_CHAIN_TYPES = ["stuff", "map_reduce", "map_rerank", "refine"]
-
-CTRANSFORMERS_DEFAULT_CONFIG = {
-    "top_k": 40,
-    "top_p": 0.95,
-    "temperature": 0.8,
-    "repetition_penalty": 1.1,
-    "last_n_tokens": 64,
-    "seed": -1,
-    "max_new_tokens": 256,
-    "stop": None,
-    "stream": False,
-    "reset": True,
-    "batch_size": 8,
-    "threads": -1,
-    "context_length": -1,
-    "gpu_layers": 0,
-}
-
-# This variable is used to tell the user
-# that it can be changed to use other APIs
-# like Prem and LocalAI
-OPENAI_API_BASE_INFO = """
-The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.
-
-You can change this to use other APIs like JinaChat, LocalAI and Prem.
-"""
-
-
-INPUT_KEY_INFO = """The variable to be used as Chat Input when more than one variable is available."""
-OUTPUT_KEY_INFO = """The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)"""
-
-
-CLASSES_TO_REMOVE = [
-    "RunnableSerializable",
-    "Serializable",
-    "BaseModel",
-    "object",
-    "Runnable",
-    "Generic",
-]
diff --git a/src/backend/langflow/template/frontend_node/custom_components.py b/src/backend/langflow/template/frontend_node/custom_components.py
deleted file mode 100644
index d604ae055d7..00000000000
--- a/src/backend/langflow/template/frontend_node/custom_components.py
+++ /dev/null
@@ -1,69 +0,0 @@
-from typing import Optional
-
-from langflow.template.field.base import TemplateField
-from langflow.template.frontend_node.base import FrontendNode
-from langflow.template.template.base import Template
-
-DEFAULT_CUSTOM_COMPONENT_CODE = """from langflow import CustomComponent
-from typing import Optional, List, Dict, Union
-from langflow.field_typing import (
-    AgentExecutor,
-    BaseChatMemory,
-    BaseLanguageModel,
-    BaseLLM,
-    BaseLoader,
-    BaseMemory,
-    BaseOutputParser,
-    BasePromptTemplate,
-    BaseRetriever,
-    Callable,
-    Chain,
-    ChatPromptTemplate,
-    Data,
-    Document,
-    Embeddings,
-    NestedDict,
-    Object,
-    PromptTemplate,
-    TextSplitter,
-    Tool,
-    VectorStore,
-)
-
-
-class Component(CustomComponent):
-    display_name: str = "Custom Component"
-    description: str = "Create any custom component you want!"
-
-    def build_config(self):
-        return {"param": {"display_name": "Parameter"}}
-
-    def build(self, param: Data) -> Data:
-        return param
-
-"""
-
-
-class CustomComponentFrontendNode(FrontendNode):
-    _format_template: bool = False
-    name: str = "CustomComponent"
-    display_name: Optional[str] = "CustomComponent"
-    beta: bool = True
-    template: Template = Template(
-        type_name="CustomComponent",
-        fields=[
-            TemplateField(
-                field_type="code",
-                required=True,
-                placeholder="",
-                is_list=False,
-                show=True,
-                value=DEFAULT_CUSTOM_COMPONENT_CODE,
-                name="code",
-                advanced=False,
-                dynamic=True,
-            )
-        ],
-    )
-    description: Optional[str] = None
-    base_classes: list[str] = []
diff --git a/src/backend/langflow/template/frontend_node/documentloaders.py b/src/backend/langflow/template/frontend_node/documentloaders.py
deleted file mode 100644
index 31e13894a2e..00000000000
--- a/src/backend/langflow/template/frontend_node/documentloaders.py
+++ /dev/null
@@ -1,301 +0,0 @@
-from typing import ClassVar, Dict, Optional
-
-from langflow.template.field.base import TemplateField
-from langflow.template.frontend_node.base import FrontendNode
-
-
-def build_file_field(fileTypes: list, name: str = "file_path") -> TemplateField:
-    """Build a template field for a document loader."""
-    return TemplateField(
-        field_type="file",
-        required=True,
-        show=True,
-        name=name,
-        value="",
-        file_types=fileTypes,
-    )
-
-
-class DocumentLoaderFrontNode(FrontendNode):
-    def add_extra_base_classes(self) -> None:
-        self.base_classes = ["Document"]
-        self.output_types = ["Document"]
-
-    file_path_templates: ClassVar[Dict] = {
-        "AirbyteJSONLoader": build_file_field(
-            fileTypes=[".json"],
-        ),
-        "CoNLLULoader": build_file_field(
-            fileTypes=[".csv"],
-        ),
-        "CSVLoader": build_file_field(
-            fileTypes=[".csv"],
-        ),
-        "UnstructuredEmailLoader": build_file_field(
-            fileTypes=[".eml"],
-        ),
-        "EverNoteLoader": build_file_field(
-            fileTypes=[".xml"],
-        ),
-        "FacebookChatLoader": build_file_field(
-            fileTypes=[".json"],
-        ),
-        "BSHTMLLoader": build_file_field(
-            fileTypes=[".html"],
-        ),
-        "UnstructuredHTMLLoader": build_file_field(fileTypes=[".html"]),
-        "UnstructuredImageLoader": build_file_field(
-            fileTypes=[".jpg", ".jpeg", ".png", ".gif", ".bmp"],
-        ),
-        "UnstructuredMarkdownLoader": build_file_field(
-            fileTypes=[".md"],
-        ),
-        "PyPDFLoader": build_file_field(
-            fileTypes=[".pdf"],
-        ),
-        "UnstructuredPowerPointLoader": build_file_field(
-            fileTypes=[".pptx", ".ppt"],
-        ),
-        "SRTLoader": build_file_field(
-            fileTypes=[".srt"],
-        ),
-        "TelegramChatLoader": build_file_field(
-            fileTypes=[".json"],
-        ),
-        "TextLoader": build_file_field(
-            fileTypes=[".txt"],
-        ),
-        "UnstructuredWordDocumentLoader": build_file_field(
-            fileTypes=[".docx", ".doc"],
-        ),
-    }
-
-    def add_extra_fields(self) -> None:
-        name = None
-        display_name = "Web Page"
-        if self.template.type_name in {"GitLoader"}:
-            # Add fields repo_path, clone_url, branch and file_filter
-            self.template.add_field(
-                TemplateField(
-                    field_type="str",
-                    required=True,
-                    show=True,
-                    name="repo_path",
-                    value="",
-                    display_name="Path to repository",
-                    advanced=False,
-                )
-            )
-            self.template.add_field(
-                TemplateField(
-                    field_type="str",
-                    required=False,
-                    show=True,
-                    name="clone_url",
-                    value="",
-                    display_name="Clone URL",
-                    advanced=False,
-                )
-            )
-            self.template.add_field(
-                TemplateField(
-                    field_type="str",
-                    required=True,
-                    show=True,
-                    name="branch",
-                    value="",
-                    display_name="Branch",
-                    advanced=False,
-                )
-            )
-            self.template.add_field(
-                TemplateField(
-                    field_type="str",
-                    required=False,
-                    show=True,
-                    name="file_filter",
-                    value="",
-                    display_name="File extensions (comma-separated)",
-                    advanced=False,
-                )
-            )
-        elif self.template.type_name in {"SlackDirectoryLoader"}:
-            self.template.add_field(
-                TemplateField(
-                    field_type="file",
-                    required=True,
-                    show=True,
-                    name="zip_path",
-                    value="",
-                    display_name="Path to zip file",
-                    file_types=[".zip"],
-                )
-            )
-            self.template.add_field(
-                TemplateField(
-                    field_type="str",
-                    required=False,
-                    show=True,
-                    name="workspace_url",
-                    value="",
-                    display_name="Workspace URL",
-                    advanced=False,
-                )
-            )
-        elif self.template.type_name in self.file_path_templates:
-            self.template.add_field(self.file_path_templates[self.template.type_name])
-        elif self.template.type_name in {
-            "WebBaseLoader",
-            "AZLyricsLoader",
-            "CollegeConfidentialLoader",
-            "HNLoader",
-            "IFixitLoader",
-            "IMSDbLoader",
-            "GutenbergLoader",
-        }:
-            name = "web_path"
-        elif self.template.type_name in {"GutenbergLoader"}:
-            name = "file_path"
-        elif self.template.type_name in {"GitbookLoader"}:
-            name = "web_page"
-        elif self.template.type_name in {
-            "DirectoryLoader",
-            "ReadTheDocsLoader",
-            "NotionDirectoryLoader",
-            "PyPDFDirectoryLoader",
-        }:
-            name = "path"
-            display_name = "Local directory"
-        if name:
-            if self.template.type_name in {"DirectoryLoader"}:
-                for field in build_directory_loader_fields():
-                    self.template.add_field(field)
-            else:
-                self.template.add_field(
-                    TemplateField(
-                        field_type="str",
-                        required=True,
-                        show=True,
-                        name=name,
-                        value="",
-                        display_name=display_name,
-                    )
-                )
-            # add a metadata field of type dict
-        self.template.add_field(
-            TemplateField(
-                field_type="dict",
-                required=False,
-                show=True,
-                name="metadata",
-                value={},
-                display_name="Metadata",
-                multiline=False,
-            )
-        )
-
-    @staticmethod
-    def format_field(field: TemplateField, name: Optional[str] = None) -> None:
-        FrontendNode.format_field(field, name)
-        if field.name == "metadata":
-            field.show = True
-            field.advanced = False
-        field.show = True
-
-
-def build_directory_loader_fields():
-    # if loader_kwargs is None:
-    #         loader_kwargs = {}
-    # self.path = path
-    # self.glob = glob
-    # self.load_hidden = load_hidden
-    # self.loader_cls = loader_cls
-    # self.loader_kwargs = loader_kwargs
-    # self.silent_errors = silent_errors
-    # self.recursive = recursive
-    # self.show_progress = show_progress
-    # self.use_multithreading = use_multithreading
-    # self.max_concurrency = max_concurrency
-    # Based on the above fields, we can build the following fields:
-    # path, glob, load_hidden, silent_errors, recursive, show_progress, use_multithreading, max_concurrency
-    # path
-    path = TemplateField(
-        field_type="str",
-        required=True,
-        show=True,
-        name="path",
-        value="",
-        display_name="Local directory",
-        advanced=False,
-    )
-    # glob
-    glob = TemplateField(
-        field_type="str",
-        required=True,
-        show=True,
-        name="glob",
-        value="**/*.txt",
-        display_name="glob",
-        advanced=False,
-    )
-    # load_hidden
-    load_hidden = TemplateField(
-        field_type="bool",
-        required=False,
-        show=True,
-        name="load_hidden",
-        value="False",
-        display_name="Load hidden files",
-        advanced=True,
-    )
-    # silent_errors
-    silent_errors = TemplateField(
-        field_type="bool",
-        required=False,
-        show=True,
-        name="silent_errors",
-        value="False",
-        display_name="Silent errors",
-        advanced=True,
-    )
-    # recursive
-    recursive = TemplateField(
-        field_type="bool",
-        required=False,
-        show=True,
-        name="recursive",
-        value="True",
-        display_name="Recursive",
-        advanced=True,
-    )
-
-    # use_multithreading
-    use_multithreading = TemplateField(
-        field_type="bool",
-        required=False,
-        show=True,
-        name="use_multithreading",
-        value="True",
-        display_name="Use multithreading",
-        advanced=True,
-    )
-    # max_concurrency
-    max_concurrency = TemplateField(
-        field_type="int",
-        required=False,
-        show=True,
-        name="max_concurrency",
-        value=10,
-        display_name="Max concurrency",
-        advanced=True,
-    )
-
-    return (
-        path,
-        glob,
-        load_hidden,
-        silent_errors,
-        recursive,
-        use_multithreading,
-        max_concurrency,
-    )
diff --git a/src/backend/langflow/template/frontend_node/embeddings.py b/src/backend/langflow/template/frontend_node/embeddings.py
deleted file mode 100644
index a2974487ef4..00000000000
--- a/src/backend/langflow/template/frontend_node/embeddings.py
+++ /dev/null
@@ -1,119 +0,0 @@
-from typing import Optional
-
-from langflow.template.field.base import TemplateField
-from langflow.template.frontend_node.base import FrontendNode
-
-
-class EmbeddingFrontendNode(FrontendNode):
-    def add_extra_fields(self) -> None:
-        if "VertexAI" in self.template.type_name:
-            # Add credentials field which should of type file.
-            self.template.add_field(
-                TemplateField(
-                    field_type="file",
-                    required=False,
-                    show=True,
-                    name="credentials",
-                    value="",
-                    file_types=[".json"],
-                )
-            )
-
-    @staticmethod
-    def format_vertex_field(field: TemplateField, name: str):
-        if "VertexAI" in name:
-            key = field.name or ""
-            advanced_fields = [
-                "verbose",
-                "top_p",
-                "top_k",
-                "max_output_tokens",
-            ]
-            if key in advanced_fields:
-                field.advanced = True
-            show_fields = [
-                "verbose",
-                "project",
-                "location",
-                "credentials",
-                "max_output_tokens",
-                "model_name",
-                "temperature",
-                "top_p",
-                "top_k",
-            ]
-
-            if key in show_fields:
-                field.show = True
-
-    @staticmethod
-    def format_jina_fields(field: TemplateField):
-        name = field.name or ""
-        if "jina" in name:
-            field.show = True
-            field.advanced = False
-
-        if "auth" in name or "token" in name:
-            field.password = True
-            field.show = True
-            field.advanced = False
-
-        if name == "jina_api_url":
-            field.show = True
-            field.advanced = True
-            field.display_name = "Jina API URL"
-            field.password = False
-
-    @staticmethod
-    def format_openai_fields(field: TemplateField):
-        name = field.name or ""
-        if "openai" in name:
-            field.show = True
-            field.advanced = True
-            split_name = name.split("_")
-            title_name = " ".join([s.capitalize() for s in split_name])
-            field.display_name = title_name.replace("Openai", "OpenAI").replace("Api", "API")
-
-        if "api_key" in name:
-            field.password = True
-            field.show = True
-            field.advanced = False
-
-    @staticmethod
-    def format_field(field: TemplateField, name: Optional[str] = None) -> None:
-        FrontendNode.format_field(field, name)
-        if name and "vertex" in name.lower():
-            EmbeddingFrontendNode.format_vertex_field(field, name)
-        field.advanced = not field.required
-        field.show = True
-        key = field.name or ""
-        if key == "headers":
-            field.show = False
-        if key == "model_kwargs":
-            field.field_type = "dict"
-            field.advanced = True
-            field.show = True
-        elif key in [
-            "model_name",
-            "temperature",
-            "model_file",
-            "model_type",
-            "deployment_name",
-            "credentials",
-        ]:
-            field.advanced = False
-            field.show = True
-        if key == "credentials":
-            field.field_type = "file"
-        if name == "VertexAI" and key not in [
-            "callbacks",
-            "client",
-            "stop",
-            "tags",
-            "cache",
-        ]:
-            field.show = True
-
-        # Format Jina fields
-        EmbeddingFrontendNode.format_jina_fields(field)
-        EmbeddingFrontendNode.format_openai_fields(field)
diff --git a/src/backend/langflow/template/frontend_node/formatter/base.py b/src/backend/langflow/template/frontend_node/formatter/base.py
deleted file mode 100644
index f582bc29894..00000000000
--- a/src/backend/langflow/template/frontend_node/formatter/base.py
+++ /dev/null
@@ -1,11 +0,0 @@
-from abc import ABC, abstractmethod
-from typing import Optional
-
-from langflow.template.field.base import TemplateField
-from pydantic import BaseModel
-
-
-class FieldFormatter(BaseModel, ABC):
-    @abstractmethod
-    def format(self, field: TemplateField, name: Optional[str]) -> None:
-        pass
diff --git a/src/backend/langflow/template/frontend_node/formatter/field_formatters.py b/src/backend/langflow/template/frontend_node/formatter/field_formatters.py
deleted file mode 100644
index 42d3321ff0a..00000000000
--- a/src/backend/langflow/template/frontend_node/formatter/field_formatters.py
+++ /dev/null
@@ -1,153 +0,0 @@
-import re
-from typing import ClassVar, Dict, Optional
-
-from langflow.template.field.base import TemplateField
-from langflow.template.frontend_node.constants import FORCE_SHOW_FIELDS
-from langflow.template.frontend_node.formatter.base import FieldFormatter
-from langflow.utils.constants import ANTHROPIC_MODELS, CHAT_OPENAI_MODELS, OPENAI_MODELS
-
-
-class OpenAIAPIKeyFormatter(FieldFormatter):
-    def format(self, field: TemplateField, name: Optional[str] = None) -> None:
-        if field.name and "api_key" in field.name and "OpenAI" in str(name):
-            field.display_name = "OpenAI API Key"
-            field.required = False
-            if field.value is None:
-                field.value = ""
-
-
-class ModelSpecificFieldFormatter(FieldFormatter):
-    MODEL_DICT: ClassVar[Dict] = {
-        "OpenAI": OPENAI_MODELS,
-        "ChatOpenAI": CHAT_OPENAI_MODELS,
-        "Anthropic": ANTHROPIC_MODELS,
-        "ChatAnthropic": ANTHROPIC_MODELS,
-    }
-
-    def format(self, field: TemplateField, name: Optional[str] = None) -> None:
-        if field.name and name in self.MODEL_DICT and field.name == "model_name":
-            field.options = self.MODEL_DICT[name]
-            field.is_list = True
-
-
-class KwargsFormatter(FieldFormatter):
-    def format(self, field: TemplateField, name: Optional[str] = None) -> None:
-        if field.name and "kwargs" in field.name.lower():
-            field.advanced = True
-            field.required = False
-            field.show = False
-
-
-class APIKeyFormatter(FieldFormatter):
-    def format(self, field: TemplateField, name: Optional[str] = None) -> None:
-        if field.name and "api" in field.name.lower() and "key" in field.name.lower():
-            field.required = False
-            field.advanced = False
-
-            field.display_name = (field.name or "").replace("_", " ").title()
-            field.display_name = field.display_name.replace("Api", "API")
-
-
-class RemoveOptionalFormatter(FieldFormatter):
-    def format(self, field: TemplateField, name: Optional[str] = None) -> None:
-        _type = field.field_type
-        field.field_type = re.sub(r"Optional\[(.*)\]", r"\1", _type)
-
-
-class ListTypeFormatter(FieldFormatter):
-    def format(self, field: TemplateField, name: Optional[str] = None) -> None:
-        _type = field.field_type
-        is_list = "List" in _type or "Sequence" in _type
-        if is_list:
-            _type = re.sub(r"(List|Sequence)\[(.*)\]", r"\2", _type)
-            field.is_list = True
-        field.field_type = _type
-
-
-class DictTypeFormatter(FieldFormatter):
-    def format(self, field: TemplateField, name: Optional[str] = None) -> None:
-        _type = field.field_type
-        _type = _type.replace("Mapping", "dict")
-        field.field_type = _type
-
-
-class UnionTypeFormatter(FieldFormatter):
-    def format(self, field: TemplateField, name: Optional[str] = None) -> None:
-        _type = field.field_type
-        if "Union" in _type:
-            _type = _type.replace("Union[", "")[:-1]
-            _type = _type.split(",")[0]
-            _type = _type.replace("]", "").replace("[", "")
-        field.field_type = _type
-
-
-class SpecialFieldFormatter(FieldFormatter):
-    SPECIAL_FIELD_HANDLERS: ClassVar[Dict] = {
-        "allowed_tools": lambda field: "Tool",
-        "max_value_length": lambda field: "int",
-    }
-
-    def format(self, field: TemplateField, name: Optional[str] = None) -> None:
-        handler = self.SPECIAL_FIELD_HANDLERS.get(field.name)
-        field.field_type = handler(field) if handler else field.field_type
-
-
-class ShowFieldFormatter(FieldFormatter):
-    def format(self, field: TemplateField, name: Optional[str] = None) -> None:
-        key = field.name or ""
-        required = field.required
-        field.show = (
-            (required and key not in ["input_variables"])
-            or key in FORCE_SHOW_FIELDS
-            or "api" in key
-            or ("key" in key and "input" not in key and "output" not in key)
-        )
-
-
-class PasswordFieldFormatter(FieldFormatter):
-    def format(self, field: TemplateField, name: Optional[str] = None) -> None:
-        key = field.name or ""
-        show = field.show
-        if any(text in key.lower() for text in {"password", "token", "api", "key"}) and show:
-            field.password = True
-
-
-class MultilineFieldFormatter(FieldFormatter):
-    def format(self, field: TemplateField, name: Optional[str] = None) -> None:
-        key = field.name or ""
-        if key in {
-            "suffix",
-            "prefix",
-            "template",
-            "examples",
-            "code",
-            "headers",
-            "description",
-        }:
-            field.multiline = True
-
-
-class DefaultValueFormatter(FieldFormatter):
-    def format(self, field: TemplateField, name: Optional[str] = None) -> None:
-        value = field.model_dump(by_alias=True, exclude_none=True)
-        if "default" in value:
-            field.value = value["default"]
-
-
-class HeadersDefaultValueFormatter(FieldFormatter):
-    def format(self, field: TemplateField, name: Optional[str] = None) -> None:
-        key = field.name
-        if key == "headers":
-            field.value = """{"Authorization": "Bearer <token>"}"""
-
-
-class DictCodeFileFormatter(FieldFormatter):
-    def format(self, field: TemplateField, name: Optional[str] = None) -> None:
-        key = field.name
-        value = field.model_dump(by_alias=True, exclude_none=True)
-        _type = value["type"]
-        if "dict" in _type.lower() and key == "dict_":
-            field.field_type = "file"
-            field.file_types = [".json", ".yaml", ".yml"]
-        elif _type.startswith("Dict") or _type.startswith("Mapping") or _type.startswith("dict"):
-            field.field_type = "dict"
diff --git a/src/backend/langflow/template/frontend_node/llms.py b/src/backend/langflow/template/frontend_node/llms.py
deleted file mode 100644
index e33c4a60a4e..00000000000
--- a/src/backend/langflow/template/frontend_node/llms.py
+++ /dev/null
@@ -1,154 +0,0 @@
-from typing import Optional
-
-from langflow.services.database.models.base import orjson_dumps
-from langflow.template.field.base import TemplateField
-from langflow.template.frontend_node.base import FrontendNode
-from langflow.template.frontend_node.constants import CTRANSFORMERS_DEFAULT_CONFIG, OPENAI_API_BASE_INFO
-
-
-class LLMFrontendNode(FrontendNode):
-    def add_extra_fields(self) -> None:
-        if "VertexAI" in self.template.type_name:
-            # Add credentials field which should of type file.
-            self.template.add_field(
-                TemplateField(
-                    field_type="file",
-                    required=False,
-                    show=True,
-                    name="credentials",
-                    value="",
-                    file_types=[".json"],
-                )
-            )
-
-    @staticmethod
-    def format_vertex_field(field: TemplateField, name: str):
-        key = field.name or ""
-        if "VertexAI" in name:
-            advanced_fields = [
-                "tuned_model_name",
-                "verbose",
-                "top_p",
-                "top_k",
-                "max_output_tokens",
-            ]
-            if key in advanced_fields:
-                field.advanced = True
-            show_fields = [
-                "tuned_model_name",
-                "verbose",
-                "project",
-                "location",
-                "credentials",
-                "max_output_tokens",
-                "model_name",
-                "temperature",
-                "top_p",
-                "top_k",
-            ]
-
-            if key in show_fields:
-                field.show = True
-
-    @staticmethod
-    def format_openai_field(field: TemplateField):
-        key = field.name or ""
-        if "openai" in key.lower():
-            field.display_name = (key.title().replace("Openai", "OpenAI").replace("_", " ")).replace("Api", "API")
-
-        if "key" not in key.lower() and "token" not in key.lower():
-            field.password = False
-
-        if key == "openai_api_base":
-            field.info = OPENAI_API_BASE_INFO
-
-    def add_extra_base_classes(self) -> None:
-        if "BaseLLM" not in self.base_classes:
-            self.base_classes.append("BaseLLM")
-
-    @staticmethod
-    def format_azure_field(field: TemplateField):
-        key = field.name or ""
-        if key == "model_name":
-            field.show = False  # Azure uses deployment_name instead of model_name.
-        elif key == "openai_api_type":
-            field.show = False
-            field.password = False
-            field.value = "azure"
-        elif key == "openai_api_version":
-            field.password = False
-
-    @staticmethod
-    def format_llama_field(field: TemplateField):
-        field.show = True
-        field.advanced = not field.required
-
-    @staticmethod
-    def format_ctransformers_field(field: TemplateField):
-        key = field.name or ""
-        if key == "config":
-            field.show = True
-            field.advanced = True
-            field.value = orjson_dumps(CTRANSFORMERS_DEFAULT_CONFIG, indent_2=True)
-
-    @staticmethod
-    def format_field(field: TemplateField, name: Optional[str] = None) -> None:
-        display_names_dict = {
-            "huggingfacehub_api_token": "HuggingFace Hub API Token",
-        }
-        FrontendNode.format_field(field, name)
-        LLMFrontendNode.format_openai_field(field)
-        LLMFrontendNode.format_ctransformers_field(field)
-        if name and "azure" in name.lower():
-            LLMFrontendNode.format_azure_field(field)
-        if name and "llama" in name.lower():
-            LLMFrontendNode.format_llama_field(field)
-        if name and "vertex" in name.lower():
-            LLMFrontendNode.format_vertex_field(field, name)
-        SHOW_FIELDS = ["repo_id"]
-        key = field.name or ""
-        if key in SHOW_FIELDS:
-            field.show = True
-
-        if "api" in key and ("key" in key or ("token" in key and "tokens" not in key)):
-            field.password = True
-            field.show = True
-            # Required should be False to support
-            # loading the API key from environment variables
-            field.required = False
-            field.advanced = False
-
-        if key == "task":
-            field.required = True
-            field.show = True
-            field.is_list = True
-            field.options = ["text-generation", "text2text-generation", "summarization"]
-            field.value = field.options[0]
-            field.advanced = True
-
-        if display_name := display_names_dict.get(key):
-            field.display_name = display_name
-        if key == "model_kwargs":
-            field.field_type = "dict"
-            field.advanced = True
-            field.show = True
-        elif key in [
-            "model_name",
-            "temperature",
-            "model_file",
-            "model_type",
-            "deployment_name",
-            "credentials",
-        ]:
-            field.advanced = False
-            field.show = True
-        if key == "credentials":
-            field.field_type = "file"
-        if name == "VertexAI" and key not in [
-            "callbacks",
-            "client",
-            "stop",
-            "tags",
-            "cache",
-        ]:
-            field.show = True
diff --git a/src/backend/langflow/template/frontend_node/memories.py b/src/backend/langflow/template/frontend_node/memories.py
deleted file mode 100644
index fc9df6291e6..00000000000
--- a/src/backend/langflow/template/frontend_node/memories.py
+++ /dev/null
@@ -1,192 +0,0 @@
-from typing import Optional
-
-from langchain_community.chat_message_histories.mongodb import (
-    DEFAULT_COLLECTION_NAME,
-    DEFAULT_DBNAME,
-)
-from langchain_community.chat_message_histories.postgres import DEFAULT_CONNECTION_STRING
-
-from langflow.template.field.base import TemplateField
-from langflow.template.frontend_node.base import FrontendNode
-from langflow.template.frontend_node.constants import INPUT_KEY_INFO, OUTPUT_KEY_INFO
-from langflow.template.template.base import Template
-
-
-class MemoryFrontendNode(FrontendNode):
-    #! Needs testing
-    def add_extra_fields(self) -> None:
-        # chat history should have another way to add common field?
-        # prevent adding incorect field in ChatMessageHistory
-        base_message_classes = ["BaseEntityStore", "BaseChatMessageHistory"]
-        if any(base_class in self.base_classes for base_class in base_message_classes):
-            return
-
-        # add return_messages field
-        self.template.add_field(
-            TemplateField(
-                field_type="bool",
-                required=False,
-                show=True,
-                name="return_messages",
-                advanced=False,
-                value=False,
-            )
-        )
-        # add input_key and output_key str fields
-        self.template.add_field(
-            TemplateField(
-                field_type="str",
-                required=False,
-                show=True,
-                name="input_key",
-                advanced=True,
-                value="",
-            )
-        )
-        if self.template.type_name not in {"VectorStoreRetrieverMemory"}:
-            self.template.add_field(
-                TemplateField(
-                    field_type="str",
-                    required=False,
-                    show=True,
-                    name="output_key",
-                    advanced=True,
-                    value="",
-                )
-            )
-
-    @staticmethod
-    def format_field(field: TemplateField, name: Optional[str] = None) -> None:
-        FrontendNode.format_field(field, name)
-
-        if not isinstance(field.value, str):
-            field.value = None
-        if field.name == "k":
-            field.required = True
-            field.show = True
-            field.field_type = "int"
-            field.value = 10
-            field.display_name = "Memory Size"
-        field.password = False
-        if field.name == "return_messages":
-            field.required = False
-            field.show = True
-            field.advanced = False
-        if field.name in {"input_key", "output_key"}:
-            field.required = False
-            field.show = True
-            field.advanced = False
-            field.value = ""
-            field.info = INPUT_KEY_INFO if field.name == "input_key" else OUTPUT_KEY_INFO
-
-        if field.name == "memory_key":
-            field.value = "chat_history"
-        if field.name == "chat_memory":
-            field.show = True
-            field.advanced = False
-            field.required = False
-        if field.name == "url":
-            field.show = True
-        if field.name == "entity_store":
-            field.show = False
-        if name == "ConversationEntityMemory" and field.name == "memory_key":
-            field.show = False
-            field.required = False
-
-        if name == "MotorheadMemory":
-            if field.name == "chat_memory":
-                field.show = False
-                field.required = False
-            elif field.name == "client_id":
-                field.show = True
-                field.advanced = False
-
-
-class PostgresChatMessageHistoryFrontendNode(MemoryFrontendNode):
-    name: str = "PostgresChatMessageHistory"
-    template: Template = Template(
-        type_name="PostgresChatMessageHistory",
-        fields=[
-            TemplateField(
-                field_type="str",
-                required=True,
-                placeholder="",
-                is_list=False,
-                show=True,
-                multiline=False,
-                name="session_id",
-            ),
-            TemplateField(
-                field_type="str",
-                required=True,
-                show=True,
-                name="connection_string",
-                value=DEFAULT_CONNECTION_STRING,
-            ),
-            TemplateField(
-                field_type="str",
-                required=True,
-                placeholder="",
-                is_list=False,
-                show=True,
-                multiline=False,
-                value="message_store",
-                name="table_name",
-            ),
-        ],
-    )
-    description: str = "Memory store with Postgres"
-    base_classes: list[str] = ["PostgresChatMessageHistory", "BaseChatMessageHistory"]
-
-
-class MongoDBChatMessageHistoryFrontendNode(MemoryFrontendNode):
-    name: str = "MongoDBChatMessageHistory"
-    template: Template = Template(
-        # langchain/memory/chat_message_histories/mongodb.py
-        # connection_string: str,
-        #     session_id: str,
-        #     database_name: str = DEFAULT_DBNAME,
-        #     collection_name: str = DEFAULT_COLLECTION_NAME,
-        type_name="MongoDBChatMessageHistory",
-        fields=[
-            TemplateField(
-                field_type="str",
-                required=True,
-                placeholder="",
-                is_list=False,
-                show=True,
-                multiline=False,
-                name="session_id",
-            ),
-            TemplateField(
-                field_type="str",
-                required=True,
-                show=True,
-                name="connection_string",
-                value="",
-                info="MongoDB connection string (e.g mongodb://mongo_user:password123@mongo:27017)",
-            ),
-            TemplateField(
-                field_type="str",
-                required=True,
-                placeholder="",
-                is_list=False,
-                show=True,
-                multiline=False,
-                value=DEFAULT_DBNAME,
-                name="database_name",
-            ),
-            TemplateField(
-                field_type="str",
-                required=True,
-                placeholder="",
-                is_list=False,
-                show=True,
-                multiline=False,
-                value=DEFAULT_COLLECTION_NAME,
-                name="collection_name",
-            ),
-        ],
-    )
-    description: str = "Memory store with MongoDB"
-    base_classes: list[str] = ["MongoDBChatMessageHistory", "BaseChatMessageHistory"]
diff --git a/src/backend/langflow/template/frontend_node/output_parsers.py b/src/backend/langflow/template/frontend_node/output_parsers.py
deleted file mode 100644
index e9b4d370616..00000000000
--- a/src/backend/langflow/template/frontend_node/output_parsers.py
+++ /dev/null
@@ -1,10 +0,0 @@
-from typing import Optional
-from langflow.template.field.base import TemplateField
-from langflow.template.frontend_node.base import FrontendNode
-
-
-class OutputParserFrontendNode(FrontendNode):
-    @staticmethod
-    def format_field(field: TemplateField, name: Optional[str] = None) -> None:
-        FrontendNode.format_field(field, name)
-        field.show = True
diff --git a/src/backend/langflow/template/frontend_node/prompts.py b/src/backend/langflow/template/frontend_node/prompts.py
deleted file mode 100644
index 03445f75370..00000000000
--- a/src/backend/langflow/template/frontend_node/prompts.py
+++ /dev/null
@@ -1,107 +0,0 @@
-from typing import Optional
-
-from langchain.agents.mrkl import prompt
-
-from langflow.template.field.base import TemplateField
-from langflow.template.frontend_node.base import FrontendNode
-from langflow.template.frontend_node.constants import DEFAULT_PROMPT, HUMAN_PROMPT, SYSTEM_PROMPT
-from langflow.template.template.base import Template
-
-
-class PromptFrontendNode(FrontendNode):
-    @staticmethod
-    def format_field(field: TemplateField, name: Optional[str] = None) -> None:
-        FrontendNode.format_field(field, name)
-        # if field.field_type  == "StringPromptTemplate"
-        # change it to str
-        PROMPT_FIELDS = [
-            "template",
-            "suffix",
-            "prefix",
-            "examples",
-            "format_instructions",
-        ]
-        key = field.name or ""
-        if field.field_type == "StringPromptTemplate" and "Message" in str(name):
-            field.field_type = "prompt"
-            field.multiline = True
-            field.value = HUMAN_PROMPT if "Human" in key else SYSTEM_PROMPT
-        if key == "template" and field.value == "":
-            field.value = DEFAULT_PROMPT
-
-        if key and key in PROMPT_FIELDS:
-            field.field_type = "prompt"
-            field.advanced = False
-
-        if "Union" in field.field_type and "BaseMessagePromptTemplate" in field.field_type:
-            field.field_type = "BaseMessagePromptTemplate"
-
-        # All prompt fields should be password=False
-        field.password = False
-        field.dynamic = True
-
-
-class PromptTemplateNode(FrontendNode):
-    name: str = "PromptTemplate"
-    template: Template
-    description: str
-    base_classes: list[str] = ["BasePromptTemplate"]
-
-    @staticmethod
-    def format_field(field: TemplateField, name: Optional[str] = None) -> None:
-        FrontendNode.format_field(field, name)
-
-        if (field.name or "") == "examples":
-            field.advanced = False
-
-
-class BasePromptFrontendNode(FrontendNode):
-    name: str
-    template: Template
-    description: str
-    base_classes: list[str]
-
-
-class ZeroShotPromptNode(BasePromptFrontendNode):
-    name: str = "ZeroShotPrompt"
-    template: Template = Template(
-        type_name="ZeroShotPrompt",
-        fields=[
-            TemplateField(
-                field_type="str",
-                required=False,
-                placeholder="",
-                is_list=False,
-                show=True,
-                multiline=True,
-                value=prompt.PREFIX,
-                name="prefix",
-            ),
-            TemplateField(
-                field_type="str",
-                required=True,
-                placeholder="",
-                is_list=False,
-                show=True,
-                multiline=True,
-                value=prompt.FORMAT_INSTRUCTIONS,
-                name="format_instructions",
-            ),
-            TemplateField(
-                field_type="str",
-                required=True,
-                placeholder="",
-                is_list=False,
-                show=True,
-                multiline=True,
-                value=prompt.SUFFIX,
-                name="suffix",
-            ),
-        ],
-    )
-    description: str = "Prompt template for Zero Shot Agent."
-    base_classes: list[str] = ["BasePromptTemplate"]
-
-    @staticmethod
-    def format_field(field: TemplateField, name: Optional[str] = None) -> None:
-        PromptFrontendNode.format_field(field, name)
diff --git a/src/backend/langflow/template/frontend_node/retrievers.py b/src/backend/langflow/template/frontend_node/retrievers.py
deleted file mode 100644
index b482c8b849e..00000000000
--- a/src/backend/langflow/template/frontend_node/retrievers.py
+++ /dev/null
@@ -1,15 +0,0 @@
-from typing import Optional
-
-from langflow.template.field.base import TemplateField
-from langflow.template.frontend_node.base import FrontendNode
-
-
-class RetrieverFrontendNode(FrontendNode):
-    @staticmethod
-    def format_field(field: TemplateField, name: Optional[str] = None) -> None:
-        FrontendNode.format_field(field, name)
-        # Define common field attributes
-        field.show = True
-        if field.name == "parser_key":
-            field.display_name = "Parser Key"
-            field.password = False
diff --git a/src/backend/langflow/template/frontend_node/textsplitters.py b/src/backend/langflow/template/frontend_node/textsplitters.py
deleted file mode 100644
index e6d5bdc603a..00000000000
--- a/src/backend/langflow/template/frontend_node/textsplitters.py
+++ /dev/null
@@ -1,73 +0,0 @@
-from langflow.template.field.base import TemplateField
-from langflow.template.frontend_node.base import FrontendNode
-from langchain.text_splitter import Language
-
-
-class TextSplittersFrontendNode(FrontendNode):
-    def add_extra_base_classes(self) -> None:
-        self.base_classes = ["Document"]
-        self.output_types = ["Document"]
-
-    def add_extra_fields(self) -> None:
-        self.template.add_field(
-            TemplateField(
-                field_type="Document",
-                required=True,
-                show=True,
-                name="documents",
-                is_list=True,
-            )
-        )
-        name = "separator"
-        if self.template.type_name == "CharacterTextSplitter":
-            name = "separator"
-        elif self.template.type_name == "RecursiveCharacterTextSplitter":
-            name = "separators"
-            # Add a field for type of separator
-            # which will have Text or any value from the
-            # Language enum
-            options = [x.value for x in Language] + ["Text"]
-            options.sort()
-            self.template.add_field(
-                TemplateField(
-                    field_type="str",
-                    required=True,
-                    show=True,
-                    name="separator_type",
-                    advanced=False,
-                    is_list=True,
-                    options=options,
-                    value="Text",
-                    display_name="Separator Type",
-                )
-            )
-        self.template.add_field(
-            TemplateField(
-                field_type="str",
-                required=True,
-                show=True,
-                value="\\n",
-                name=name,
-                display_name="Separator",
-            )
-        )
-        self.template.add_field(
-            TemplateField(
-                field_type="int",
-                required=True,
-                show=True,
-                value=1000,
-                name="chunk_size",
-                display_name="Chunk Size",
-            )
-        )
-        self.template.add_field(
-            TemplateField(
-                field_type="int",
-                required=True,
-                show=True,
-                value=200,
-                name="chunk_overlap",
-                display_name="Chunk Overlap",
-            )
-        )
diff --git a/src/backend/langflow/template/frontend_node/tools.py b/src/backend/langflow/template/frontend_node/tools.py
deleted file mode 100644
index 5bed90c05f2..00000000000
--- a/src/backend/langflow/template/frontend_node/tools.py
+++ /dev/null
@@ -1,130 +0,0 @@
-from langflow.template.field.base import TemplateField
-from langflow.template.frontend_node.base import FrontendNode
-from langflow.template.template.base import Template
-from langflow.utils.constants import DEFAULT_PYTHON_FUNCTION
-
-
-class ToolNode(FrontendNode):
-    name: str = "Tool"
-    template: Template = Template(
-        type_name="Tool",
-        fields=[
-            TemplateField(
-                field_type="str",
-                required=True,
-                placeholder="",
-                is_list=False,
-                show=True,
-                multiline=True,
-                value="",
-                name="name",
-                advanced=False,
-            ),
-            TemplateField(
-                field_type="str",
-                required=True,
-                placeholder="",
-                is_list=False,
-                show=True,
-                multiline=True,
-                value="",
-                name="description",
-                advanced=False,
-            ),
-            TemplateField(
-                name="func",
-                field_type="Callable",
-                required=True,
-                is_list=False,
-                show=True,
-                multiline=True,
-                advanced=False,
-            ),
-            TemplateField(
-                field_type="bool",
-                required=True,
-                placeholder="",
-                is_list=False,
-                show=True,
-                multiline=False,
-                value=False,
-                name="return_direct",
-            ),
-        ],
-    )
-    description: str = "Converts a chain, agent or function into a tool."
-    base_classes: list[str] = ["Tool", "BaseTool"]
-
-
-class PythonFunctionToolNode(FrontendNode):
-    name: str = "PythonFunctionTool"
-    template: Template = Template(
-        type_name="PythonFunctionTool",
-        fields=[
-            TemplateField(
-                field_type="str",
-                required=True,
-                placeholder="",
-                is_list=False,
-                show=True,
-                multiline=False,
-                value="",
-                name="name",
-                advanced=False,
-            ),
-            TemplateField(
-                field_type="str",
-                required=True,
-                placeholder="",
-                is_list=False,
-                show=True,
-                multiline=False,
-                value="",
-                name="description",
-                advanced=False,
-            ),
-            TemplateField(
-                field_type="code",
-                required=True,
-                placeholder="",
-                is_list=False,
-                show=True,
-                value=DEFAULT_PYTHON_FUNCTION,
-                name="code",
-                advanced=False,
-            ),
-            TemplateField(
-                field_type="bool",
-                required=True,
-                placeholder="",
-                is_list=False,
-                show=True,
-                multiline=False,
-                value=False,
-                name="return_direct",
-            ),
-        ],
-    )
-    description: str = "Python function to be executed."
-    base_classes: list[str] = ["BaseTool", "Tool"]
-
-
-class PythonFunctionNode(FrontendNode):
-    name: str = "PythonFunction"
-    template: Template = Template(
-        type_name="PythonFunction",
-        fields=[
-            TemplateField(
-                field_type="code",
-                required=True,
-                placeholder="",
-                is_list=False,
-                show=True,
-                value=DEFAULT_PYTHON_FUNCTION,
-                name="code",
-                advanced=False,
-            )
-        ],
-    )
-    description: str = "Python function to be executed."
-    base_classes: list[str] = ["Callable"]
diff --git a/src/backend/langflow/template/frontend_node/utilities.py b/src/backend/langflow/template/frontend_node/utilities.py
deleted file mode 100644
index a5adb219d29..00000000000
--- a/src/backend/langflow/template/frontend_node/utilities.py
+++ /dev/null
@@ -1,24 +0,0 @@
-import ast
-from typing import Optional
-from langflow.services.database.models.base import orjson_dumps
-
-from langflow.template.field.base import TemplateField
-from langflow.template.frontend_node.base import FrontendNode
-
-
-class UtilitiesFrontendNode(FrontendNode):
-    @staticmethod
-    def format_field(field: TemplateField, name: Optional[str] = None) -> None:
-        FrontendNode.format_field(field, name)
-        # field.field_type could be "Literal['news', 'search', 'places', 'images']
-        # we need to convert it to a list
-        # It seems it could also be like "typing_extensions.['news', 'search', 'places', 'images']"
-        if "Literal" in field.field_type:
-            field_type = field.field_type.replace("typing_extensions.", "")
-            field_type = field_type.replace("Literal", "")
-            field.options = ast.literal_eval(field_type)
-            field.is_list = True
-            field.field_type = "str"
-
-        if isinstance(field.value, dict):
-            field.value = orjson_dumps(field.value)
diff --git a/src/backend/langflow/template/frontend_node/vectorstores.py b/src/backend/langflow/template/frontend_node/vectorstores.py
deleted file mode 100644
index 1f49f76a957..00000000000
--- a/src/backend/langflow/template/frontend_node/vectorstores.py
+++ /dev/null
@@ -1,369 +0,0 @@
-from typing import List, Optional
-
-from langflow.template.field.base import TemplateField
-from langflow.template.frontend_node.base import FrontendNode
-
-BASIC_FIELDS = [
-    "work_dir",
-    "collection_name",
-    "api_key",
-    "location",
-    "persist_directory",
-    "persist",
-    "weaviate_url",
-    "es_url",
-    "index_name",
-    "namespace",
-    "folder_path",
-    "table_name",
-    "query_name",
-    "supabase_url",
-    "supabase_service_key",
-    "mongodb_atlas_cluster_uri",
-    "collection_name",
-    "db_name",
-]
-ADVANCED_FIELDS = [
-    "n_dim",
-    "key",
-    "prefix",
-    "distance_func",
-    "content_payload_key",
-    "metadata_payload_key",
-    "timeout",
-    "host",
-    "path",
-    "url",
-    "port",
-    "https",
-    "prefer_grpc",
-    "grpc_port",
-    "pinecone_api_key",
-    "pinecone_env",
-    "client_kwargs",
-    "search_kwargs",
-    "chroma_server_host",
-    "chroma_server_http_port",
-    "chroma_server_ssl_enabled",
-    "chroma_server_grpc_port",
-    "chroma_server_cors_allow_origins",
-]
-
-
-class VectorStoreFrontendNode(FrontendNode):
-    def add_extra_fields(self) -> None:
-        extra_fields: List[TemplateField] = []
-        # Add search_kwargs field
-        extra_field = TemplateField(
-            name="search_kwargs",
-            field_type="NestedDict",
-            required=False,
-            placeholder="",
-            show=True,
-            advanced=True,
-            multiline=False,
-            value="{}",
-        )
-        extra_fields.append(extra_field)
-        if self.template.type_name == "Weaviate":
-            extra_field = TemplateField(
-                name="weaviate_url",
-                field_type="str",
-                required=True,
-                placeholder="http://localhost:8080",
-                show=True,
-                advanced=False,
-                multiline=False,
-                value="http://localhost:8080",
-            )
-            # Add client_kwargs field
-            extra_field2 = TemplateField(
-                name="client_kwargs",
-                field_type="code",
-                required=False,
-                placeholder="",
-                show=True,
-                advanced=True,
-                multiline=False,
-                value="{}",
-            )
-            extra_fields.extend((extra_field, extra_field2))
-
-        elif self.template.type_name == "Chroma":
-            # New bool field for persist parameter
-            chroma_fields = [
-                TemplateField(
-                    name="persist",
-                    field_type="bool",
-                    required=False,
-                    show=True,
-                    advanced=False,
-                    value=False,
-                    display_name="Persist",
-                ),
-                # chroma_server_grpc_port: str | None = None,
-                TemplateField(
-                    name="chroma_server_host",
-                    field_type="str",
-                    required=False,
-                    show=True,
-                    advanced=True,
-                    display_name="Chroma Server Host",
-                ),
-                TemplateField(
-                    name="chroma_server_http_port",
-                    field_type="str",
-                    required=False,
-                    show=True,
-                    advanced=True,
-                    display_name="Chroma Server HTTP Port",
-                ),
-                TemplateField(
-                    name="chroma_server_ssl_enabled",
-                    field_type="bool",
-                    required=False,
-                    show=True,
-                    advanced=True,
-                    value=False,
-                    display_name="Chroma Server SSL Enabled",
-                ),
-                TemplateField(
-                    name="chroma_server_grpc_port",
-                    field_type="str",
-                    required=False,
-                    show=True,
-                    advanced=True,
-                    display_name="Chroma Server GRPC Port",
-                ),
-                TemplateField(
-                    name="chroma_server_cors_allow_origins",
-                    field_type="str",
-                    required=False,
-                    is_list=True,
-                    show=True,
-                    advanced=True,
-                    display_name="Chroma Server CORS Allow Origins",
-                ),
-            ]
-
-            extra_fields.extend(chroma_fields)
-        elif self.template.type_name == "Pinecone":
-            # add pinecone_api_key and pinecone_env
-            extra_field = TemplateField(
-                name="pinecone_api_key",
-                field_type="str",
-                required=False,
-                placeholder="",
-                show=True,
-                advanced=True,
-                multiline=False,
-                password=True,
-                value="",
-            )
-            extra_field2 = TemplateField(
-                name="pinecone_env",
-                field_type="str",
-                required=False,
-                placeholder="",
-                show=True,
-                advanced=True,
-                multiline=False,
-                value="",
-            )
-            extra_fields.extend((extra_field, extra_field2))
-
-        elif self.template.type_name == "ElasticsearchStore":
-            # add elastic and elastic credentials
-            extra_field = TemplateField(
-                name="es_url",
-                field_type="str",
-                required=True,
-                placeholder="http://localhost:9200",
-                show=True,
-                advanced=False,
-                multiline=False,
-                value="http://localhost:9200",
-                display_name="Elasticsearch URL",
-            )
-            extra_field2 = TemplateField(
-                name="index_name",
-                field_type="str",
-                required=True,
-                placeholder="test-index",
-                show=True,
-                advanced=False,
-                multiline=False,
-                value="test-index",
-                display_name="Index Name",
-            )
-            extra_fields.extend((extra_field, extra_field2))
-
-        elif self.template.type_name == "FAISS":
-            extra_field = TemplateField(
-                name="folder_path",
-                field_type="str",
-                required=False,
-                placeholder="",
-                show=True,
-                advanced=True,
-                multiline=False,
-                display_name="Local Path",
-                value="",
-            )
-            extra_field2 = TemplateField(
-                name="index_name",
-                field_type="str",
-                required=False,
-                show=True,
-                advanced=False,
-                value="",
-                display_name="Index Name",
-            )
-            extra_fields.extend((extra_field, extra_field2))
-        elif self.template.type_name == "SupabaseVectorStore":
-            self.display_name = "Supabase"
-            # Add table_name and query_name
-            extra_field = TemplateField(
-                name="table_name",
-                field_type="str",
-                required=False,
-                placeholder="",
-                show=True,
-                advanced=True,
-                multiline=False,
-                value="",
-            )
-            extra_field2 = TemplateField(
-                name="query_name",
-                field_type="str",
-                required=False,
-                placeholder="",
-                show=True,
-                advanced=True,
-                multiline=False,
-                value="",
-            )
-            # Add supabase_url and supabase_service_key
-            extra_field3 = TemplateField(
-                name="supabase_url",
-                field_type="str",
-                required=False,
-                placeholder="",
-                show=True,
-                advanced=True,
-                multiline=False,
-                value="",
-            )
-            extra_field4 = TemplateField(
-                name="supabase_service_key",
-                field_type="str",
-                required=False,
-                placeholder="",
-                show=True,
-                advanced=True,
-                multiline=False,
-                password=True,
-                value="",
-            )
-            extra_fields.extend((extra_field, extra_field2, extra_field3, extra_field4))
-
-        elif self.template.type_name == "MongoDBAtlasVectorSearch":
-            self.display_name = "MongoDB Atlas"
-
-            extra_field = TemplateField(
-                name="mongodb_atlas_cluster_uri",
-                field_type="str",
-                required=False,
-                placeholder="",
-                show=True,
-                advanced=True,
-                multiline=False,
-                display_name="MongoDB Atlas Cluster URI",
-                value="",
-            )
-            extra_field2 = TemplateField(
-                name="collection_name",
-                field_type="str",
-                required=False,
-                placeholder="",
-                show=True,
-                advanced=True,
-                multiline=False,
-                display_name="Collection Name",
-                value="",
-            )
-            extra_field3 = TemplateField(
-                name="db_name",
-                field_type="str",
-                required=False,
-                placeholder="",
-                show=True,
-                advanced=True,
-                multiline=False,
-                display_name="Database Name",
-                value="",
-            )
-            extra_field4 = TemplateField(
-                name="index_name",
-                field_type="str",
-                required=False,
-                placeholder="",
-                show=True,
-                advanced=True,
-                multiline=False,
-                display_name="Index Name",
-                value="",
-            )
-            extra_fields.extend((extra_field, extra_field2, extra_field3, extra_field4))
-
-        if extra_fields:
-            for field in extra_fields:
-                self.template.add_field(field)
-
-    def add_extra_base_classes(self) -> None:
-        self.base_classes.extend(("BaseRetriever", "VectorStoreRetriever"))
-
-    @staticmethod
-    def format_field(field: TemplateField, name: Optional[str] = None) -> None:
-        FrontendNode.format_field(field, name)
-        # Define common field attributes
-
-        # Check and set field attributes
-        if field.name == "texts":
-            # if field.name is "texts" it has to be replaced
-            # when instantiating the vectorstores
-            field.name = "documents"
-
-            field.field_type = "Document"
-            field.display_name = "Documents"
-            field.required = False
-            field.show = True
-            field.advanced = False
-            field.is_list = True
-        elif field.name and "embedding" in field.name:
-            # for backwards compatibility
-            field.name = "embedding"
-            field.required = True
-            field.show = True
-            field.advanced = False
-            field.display_name = "Embedding"
-            field.field_type = "Embeddings"
-
-        elif field.name in BASIC_FIELDS:
-            field.show = True
-            field.advanced = False
-            if field.name == "api_key":
-                field.display_name = "API Key"
-                field.password = True
-            elif field.name == "location":
-                field.value = ":memory:"
-                field.placeholder = ":memory:"
-
-        elif field.name in ADVANCED_FIELDS:
-            field.show = True
-            field.advanced = True
-            if "key" in field.name:
-                field.password = False
-
-        elif field.name == "text_key":
-            field.show = False
diff --git a/src/backend/langflow/template/template/base.py b/src/backend/langflow/template/template/base.py
deleted file mode 100644
index 9bc375b0f8c..00000000000
--- a/src/backend/langflow/template/template/base.py
+++ /dev/null
@@ -1,65 +0,0 @@
-from typing import Callable, Union
-
-from langflow.template.field.base import TemplateField
-from langflow.utils.constants import DIRECT_TYPES
-from pydantic import BaseModel, model_serializer
-
-
-class Template(BaseModel):
-    type_name: str
-    fields: list[TemplateField]
-    field_order: list[str] = []
-
-    def process_fields(
-        self,
-        format_field_func: Union[Callable, None] = None,
-    ):
-        if format_field_func:
-            for field in self.fields:
-                format_field_func(field, self.type_name)
-
-    def sort_fields(self):
-        # first sort alphabetically
-        # then sort fields so that fields that have .field_type in DIRECT_TYPES are first
-        self.fields.sort(key=lambda x: x.name)
-        self.fields.sort(key=lambda x: x.field_type in DIRECT_TYPES, reverse=False)
-
-    @model_serializer(mode="wrap")
-    def serialize_model(self, handler):
-        result = handler(self)
-        for field in self.fields:
-            result[field.name] = field.model_dump(by_alias=True, exclude_none=True)
-        result["_type"] = result.pop("type_name")
-        result.pop("field_order", None)
-        return result
-
-    # For backwards compatibility
-    def to_dict(self, format_field_func=None):
-        self.process_fields(format_field_func)
-        self.sort_fields()
-        return self.model_dump(by_alias=True, exclude_none=True, exclude={"fields"})
-
-    def add_field(self, field: TemplateField) -> None:
-        self.fields.append(field)
-
-    def get_field(self, field_name: str) -> TemplateField:
-        """Returns the field with the given name."""
-        field = next((field for field in self.fields if field.name == field_name), None)
-        if field is None:
-            raise ValueError(f"Field {field_name} not found in template {self.type_name}")
-        return field
-
-    def update_field(self, field_name: str, field: TemplateField) -> None:
-        """Updates the field with the given name."""
-        for idx, template_field in enumerate(self.fields):
-            if template_field.name == field_name:
-                self.fields[idx] = field
-                return
-        raise ValueError(f"Field {field_name} not found in template {self.type_name}")
-
-    def upsert_field(self, field_name: str, field: TemplateField) -> None:
-        """Updates the field with the given name or adds it if it doesn't exist."""
-        try:
-            self.update_field(field_name, field)
-        except ValueError:
-            self.add_field(field)
diff --git a/src/backend/langflow/utils/constants.py b/src/backend/langflow/utils/constants.py
deleted file mode 100644
index 9b01f8c2ded..00000000000
--- a/src/backend/langflow/utils/constants.py
+++ /dev/null
@@ -1,178 +0,0 @@
-from typing import Any, Dict, List
-
-OPENAI_MODELS = [
-    "text-davinci-003",
-    "text-davinci-002",
-    "text-curie-001",
-    "text-babbage-001",
-    "text-ada-001",
-]
-CHAT_OPENAI_MODELS = [
-    "gpt-4-turbo-preview",
-    "gpt-4-0125-preview",
-    "gpt-4-1106-preview",
-    "gpt-4-vision-preview",
-    "gpt-3.5-turbo-0125",
-    "gpt-3.5-turbo-1106",
-]
-
-
-ANTHROPIC_MODELS = [
-    # largest model, ideal for a wide range of more complex tasks.
-    "claude-v1",
-    # An enhanced version of claude-v1 with a 100,000 token (roughly 75,000 word) context window.
-    "claude-v1-100k",
-    # A smaller model with far lower latency, sampling at roughly 40 words/sec!
-    "claude-instant-v1",
-    # Like claude-instant-v1 with a 100,000 token context window but retains its performance.
-    "claude-instant-v1-100k",
-    # Specific sub-versions of the above models:
-    # Vs claude-v1.2: better instruction-following, code, and non-English dialogue and writing.
-    "claude-v1.3",
-    # An enhanced version of claude-v1.3 with a 100,000 token (roughly 75,000 word) context window.
-    "claude-v1.3-100k",
-    # Vs claude-v1.1: small adv in general helpfulness, instruction following, coding, and other tasks.
-    "claude-v1.2",
-    # An earlier version of claude-v1.
-    "claude-v1.0",
-    # Latest version of claude-instant-v1. Better than claude-instant-v1.0 at most tasks.
-    "claude-instant-v1.1",
-    # Version of claude-instant-v1.1 with a 100K token context window.
-    "claude-instant-v1.1-100k",
-    # An earlier version of claude-instant-v1.
-    "claude-instant-v1.0",
-]
-
-DEFAULT_PYTHON_FUNCTION = """
-def python_function(text: str) -> str:
-    \"\"\"This is a default python function that returns the input text\"\"\"
-    return text
-"""
-
-
-PYTHON_BASIC_TYPES = [str, bool, int, float, tuple, list, dict, set]
-DIRECT_TYPES = [
-    "str",
-    "bool",
-    "dict",
-    "int",
-    "float",
-    "Any",
-    "prompt",
-    "code",
-    "NestedDict",
-]
-
-
-LOADERS_INFO: List[Dict[str, Any]] = [
-    {
-        "loader": "AirbyteJSONLoader",
-        "name": "Airbyte JSON (.jsonl)",
-        "import": "langchain_community.document_loaders.AirbyteJSONLoader",
-        "defaultFor": ["jsonl"],
-        "allowdTypes": ["jsonl"],
-    },
-    {
-        "loader": "JSONLoader",
-        "name": "JSON (.json)",
-        "import": "langchain_community.document_loaders.JSONLoader",
-        "defaultFor": ["json"],
-        "allowdTypes": ["json"],
-    },
-    {
-        "loader": "BSHTMLLoader",
-        "name": "BeautifulSoup4 HTML (.html, .htm)",
-        "import": "langchain_community.document_loaders.BSHTMLLoader",
-        "allowdTypes": ["html", "htm"],
-    },
-    {
-        "loader": "CSVLoader",
-        "name": "CSV (.csv)",
-        "import": "langchain_community.document_loaders.CSVLoader",
-        "defaultFor": ["csv"],
-        "allowdTypes": ["csv"],
-    },
-    {
-        "loader": "CoNLLULoader",
-        "name": "CoNLL-U (.conllu)",
-        "import": "langchain_community.document_loaders.CoNLLULoader",
-        "defaultFor": ["conllu"],
-        "allowdTypes": ["conllu"],
-    },
-    {
-        "loader": "EverNoteLoader",
-        "name": "EverNote (.enex)",
-        "import": "langchain_community.document_loaders.EverNoteLoader",
-        "defaultFor": ["enex"],
-        "allowdTypes": ["enex"],
-    },
-    {
-        "loader": "FacebookChatLoader",
-        "name": "Facebook Chat (.json)",
-        "import": "langchain_community.document_loaders.FacebookChatLoader",
-        "allowdTypes": ["json"],
-    },
-    {
-        "loader": "OutlookMessageLoader",
-        "name": "Outlook Message (.msg)",
-        "import": "langchain_community.document_loaders.OutlookMessageLoader",
-        "defaultFor": ["msg"],
-        "allowdTypes": ["msg"],
-    },
-    {
-        "loader": "PyPDFLoader",
-        "name": "PyPDF (.pdf)",
-        "import": "langchain_community.document_loaders.PyPDFLoader",
-        "defaultFor": ["pdf"],
-        "allowdTypes": ["pdf"],
-    },
-    {
-        "loader": "STRLoader",
-        "name": "Subtitle (.str)",
-        "import": "langchain_community.document_loaders.STRLoader",
-        "defaultFor": ["str"],
-        "allowdTypes": ["str"],
-    },
-    {
-        "loader": "TextLoader",
-        "name": "Text (.txt)",
-        "import": "langchain_community.document_loaders.TextLoader",
-        "defaultFor": ["txt"],
-        "allowdTypes": ["txt"],
-    },
-    {
-        "loader": "UnstructuredEmailLoader",
-        "name": "Unstructured Email (.eml)",
-        "import": "langchain_community.document_loaders.UnstructuredEmailLoader",
-        "defaultFor": ["eml"],
-        "allowdTypes": ["eml"],
-    },
-    {
-        "loader": "UnstructuredHTMLLoader",
-        "name": "Unstructured HTML (.html, .htm)",
-        "import": "langchain_community.document_loaders.UnstructuredHTMLLoader",
-        "defaultFor": ["html", "htm"],
-        "allowdTypes": ["html", "htm"],
-    },
-    {
-        "loader": "UnstructuredMarkdownLoader",
-        "name": "Unstructured Markdown (.md)",
-        "import": "langchain_community.document_loaders.UnstructuredMarkdownLoader",
-        "defaultFor": ["md"],
-        "allowdTypes": ["md"],
-    },
-    {
-        "loader": "UnstructuredPowerPointLoader",
-        "name": "Unstructured PowerPoint (.pptx)",
-        "import": "langchain_community.document_loaders.UnstructuredPowerPointLoader",
-        "defaultFor": ["pptx"],
-        "allowdTypes": ["pptx"],
-    },
-    {
-        "loader": "UnstructuredWordLoader",
-        "name": "Unstructured Word (.docx)",
-        "import": "langchain_community.document_loaders.UnstructuredWordLoader",
-        "defaultFor": ["docx"],
-        "allowdTypes": ["docx"],
-    },
-]
diff --git a/src/backend/langflow/utils/logger.py b/src/backend/langflow/utils/logger.py
deleted file mode 100644
index 060ad973183..00000000000
--- a/src/backend/langflow/utils/logger.py
+++ /dev/null
@@ -1,69 +0,0 @@
-import os
-from pathlib import Path
-from typing import Optional
-
-import orjson
-from loguru import logger
-from platformdirs import user_cache_dir
-from rich.logging import RichHandler
-
-VALID_LOG_LEVELS = ["DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"]
-
-
-def serialize(record):
-    subset = {
-        "timestamp": record["time"].timestamp(),
-        "message": record["message"],
-        "level": record["level"].name,
-        "module": record["module"],
-    }
-    return orjson.dumps(subset)
-
-
-def patching(record):
-    record["extra"]["serialized"] = serialize(record)
-
-
-def configure(log_level: Optional[str] = None, log_file: Optional[Path] = None):
-    if os.getenv("LANGFLOW_LOG_LEVEL") in VALID_LOG_LEVELS and log_level is None:
-        log_level = os.getenv("LANGFLOW_LOG_LEVEL")
-    if log_level is None:
-        log_level = "INFO"
-    # Human-readable
-    log_format = (
-        "<green>{time:YYYY-MM-DD HH:mm:ss}</green> - <level>"
-        "{level: <8}</level> - {module} - <level>{message}</level>"
-    )
-
-    # log_format = log_format_dev if log_level.upper() == "DEBUG" else log_format_prod
-    logger.remove()  # Remove default handlers
-    logger.patch(patching)
-    # Configure loguru to use RichHandler
-    logger.configure(
-        handlers=[
-            {
-                "sink": RichHandler(rich_tracebacks=True, markup=True),
-                "format": log_format,
-                "level": log_level.upper(),
-            }
-        ]
-    )
-
-    if not log_file:
-        cache_dir = Path(user_cache_dir("langflow"))
-        log_file = cache_dir / "langflow.log"
-
-    log_file = Path(log_file)
-    log_file.parent.mkdir(parents=True, exist_ok=True)
-
-    logger.add(
-        sink=str(log_file),
-        level=log_level.upper(),
-        format=log_format,
-        rotation="10 MB",  # Log rotation based on file size
-        serialize=True,
-    )
-
-    logger.debug(f"Logger set up with log level: {log_level}")
-    if log_file:
-        logger.debug(f"Log file: {log_file}")
diff --git a/src/backend/langflow/utils/types.py b/src/backend/langflow/utils/types.py
deleted file mode 100644
index 3657d550e7a..00000000000
--- a/src/backend/langflow/utils/types.py
+++ /dev/null
@@ -1,2 +0,0 @@
-class Prompt:
-    pass
diff --git a/src/backend/langflow/utils/util.py b/src/backend/langflow/utils/util.py
deleted file mode 100644
index 7e1206222dc..00000000000
--- a/src/backend/langflow/utils/util.py
+++ /dev/null
@@ -1,448 +0,0 @@
-import importlib
-import inspect
-import re
-from functools import wraps
-from typing import Any, Dict, List, Optional, Union
-
-from docstring_parser import parse
-from langchain_core.documents import Document
-
-from langflow.template.frontend_node.constants import FORCE_SHOW_FIELDS
-from langflow.utils import constants
-
-
-def remove_ansi_escape_codes(text):
-    return re.sub(r"\x1b\[[0-9;]*[a-zA-Z]", "", text)
-
-
-def build_template_from_function(name: str, type_to_loader_dict: Dict, add_function: bool = False):
-    classes = [item.__annotations__["return"].__name__ for item in type_to_loader_dict.values()]
-
-    # Raise error if name is not in chains
-    if name not in classes:
-        raise ValueError(f"{name} not found")
-
-    for _type, v in type_to_loader_dict.items():
-        if v.__annotations__["return"].__name__ == name:
-            _class = v.__annotations__["return"]
-
-            # Get the docstring
-            docs = parse(_class.__doc__)
-
-            variables = {"_type": _type}
-            for class_field_items, value in _class.model_fields.items():
-                if class_field_items in ["callback_manager"]:
-                    continue
-                variables[class_field_items] = {}
-                for name_, value_ in value.__repr_args__():
-                    if name_ == "default_factory":
-                        try:
-                            variables[class_field_items]["default"] = get_default_factory(
-                                module=_class.__base__.__module__, function=value_
-                            )
-                        except Exception:
-                            variables[class_field_items]["default"] = None
-                    elif name_ not in ["name"]:
-                        variables[class_field_items][name_] = value_
-
-                variables[class_field_items]["placeholder"] = (
-                    docs.params[class_field_items] if class_field_items in docs.params else ""
-                )
-            # Adding function to base classes to allow
-            # the output to be a function
-            base_classes = get_base_classes(_class)
-            if add_function:
-                base_classes.append("Callable")
-
-            return {
-                "template": format_dict(variables, name),
-                "description": docs.short_description or "",
-                "base_classes": base_classes,
-            }
-
-
-def build_template_from_class(name: str, type_to_cls_dict: Dict, add_function: bool = False):
-    classes = [item.__name__ for item in type_to_cls_dict.values()]
-
-    # Raise error if name is not in chains
-    if name not in classes:
-        raise ValueError(f"{name} not found.")
-
-    for _type, v in type_to_cls_dict.items():
-        if v.__name__ == name:
-            _class = v
-
-            # Get the docstring
-            docs = parse(_class.__doc__)
-
-            variables = {"_type": _type}
-
-            if "__fields__" in _class.__dict__:
-                for class_field_items, value in _class.__fields__.items():
-                    if class_field_items in ["callback_manager"]:
-                        continue
-                    variables[class_field_items] = {}
-                    for name_, value_ in value.__repr_args__():
-                        if name_ == "default_factory":
-                            try:
-                                variables[class_field_items]["default"] = get_default_factory(
-                                    module=_class.__base__.__module__, function=value_
-                                )
-                            except Exception:
-                                variables[class_field_items]["default"] = None
-                        elif name_ not in ["name"]:
-                            variables[class_field_items][name_] = value_
-
-                    variables[class_field_items]["placeholder"] = (
-                        docs.params[class_field_items] if class_field_items in docs.params else ""
-                    )
-            base_classes = get_base_classes(_class)
-            # Adding function to base classes to allow
-            # the output to be a function
-            if add_function:
-                base_classes.append("Callable")
-            return {
-                "template": format_dict(variables, name),
-                "description": docs.short_description or "",
-                "base_classes": base_classes,
-            }
-
-
-def build_template_from_method(
-    class_name: str,
-    method_name: str,
-    type_to_cls_dict: Dict,
-    add_function: bool = False,
-):
-    classes = [item.__name__ for item in type_to_cls_dict.values()]
-
-    # Raise error if class_name is not in classes
-    if class_name not in classes:
-        raise ValueError(f"{class_name} not found.")
-
-    for _type, v in type_to_cls_dict.items():
-        if v.__name__ == class_name:
-            _class = v
-
-            # Check if the method exists in this class
-            if not hasattr(_class, method_name):
-                raise ValueError(f"Method {method_name} not found in class {class_name}")
-
-            # Get the method
-            method = getattr(_class, method_name)
-
-            # Get the docstring
-            docs = parse(method.__doc__)
-
-            # Get the signature of the method
-            sig = inspect.signature(method)
-
-            # Get the parameters of the method
-            params = sig.parameters
-
-            # Initialize the variables dictionary with method parameters
-            variables = {
-                "_type": _type,
-                **{
-                    name: {
-                        "default": param.default if param.default != param.empty else None,
-                        "type": param.annotation if param.annotation != param.empty else None,
-                        "required": param.default == param.empty,
-                    }
-                    for name, param in params.items()
-                    if name not in ["self", "kwargs", "args"]
-                },
-            }
-
-            base_classes = get_base_classes(_class)
-
-            # Adding function to base classes to allow the output to be a function
-            if add_function:
-                base_classes.append("Callable")
-
-            return {
-                "template": format_dict(variables, class_name),
-                "description": docs.short_description or "",
-                "base_classes": base_classes,
-            }
-
-
-def get_base_classes(cls):
-    """Get the base classes of a class.
-    These are used to determine the output of the nodes.
-    """
-
-    if hasattr(cls, "__bases__") and cls.__bases__:
-        bases = cls.__bases__
-        result = []
-        for base in bases:
-            if any(type in base.__module__ for type in ["pydantic", "abc"]):
-                continue
-            result.append(base.__name__)
-            base_classes = get_base_classes(base)
-            # check if the base_classes are in the result
-            # if not, add them
-            for base_class in base_classes:
-                if base_class not in result:
-                    result.append(base_class)
-    else:
-        result = [cls.__name__]
-    if not result:
-        result = [cls.__name__]
-    return list(set(result + [cls.__name__]))
-
-
-def get_default_factory(module: str, function: str):
-    pattern = r"<function (\w+)>"
-
-    if match := re.search(pattern, function):
-        imported_module = importlib.import_module(module)
-        return getattr(imported_module, match[1])()
-    return None
-
-
-def update_verbose(d: dict, new_value: bool) -> dict:
-    """
-    Recursively updates the value of the 'verbose' key in a dictionary.
-
-    Args:
-        d: the dictionary to update
-        new_value: the new value to set
-
-    Returns:
-        The updated dictionary.
-    """
-
-    for k, v in d.items():
-        if isinstance(v, dict):
-            update_verbose(v, new_value)
-        elif k == "verbose":
-            d[k] = new_value
-    return d
-
-
-def sync_to_async(func):
-    """
-    Decorator to convert a sync function to an async function.
-    """
-
-    @wraps(func)
-    async def async_wrapper(*args, **kwargs):
-        return func(*args, **kwargs)
-
-    return async_wrapper
-
-
-def format_dict(dictionary: Dict[str, Any], class_name: Optional[str] = None) -> Dict[str, Any]:
-    """
-    Formats a dictionary by removing certain keys and modifying the
-    values of other keys.
-
-    Returns:
-        A new dictionary with the desired modifications applied.
-    """
-
-    for key, value in dictionary.items():
-        if key == "_type":
-            continue
-
-        _type: Union[str, type] = get_type(value)
-
-        if "BaseModel" in str(_type):
-            continue
-
-        _type = remove_optional_wrapper(_type)
-        _type = check_list_type(_type, value)
-        _type = replace_mapping_with_dict(_type)
-        _type = get_type_from_union_literal(_type)
-
-        value["type"] = get_formatted_type(key, _type)
-        value["show"] = should_show_field(value, key)
-        value["password"] = is_password_field(key)
-        value["multiline"] = is_multiline_field(key)
-
-        if key == "dict_":
-            set_dict_file_attributes(value)
-
-        replace_default_value_with_actual(value)
-
-        if key == "headers":
-            set_headers_value(value)
-
-        add_options_to_field(value, class_name, key)
-
-    return dictionary
-
-
-# "Union[Literal['f-string'], Literal['jinja2']]" -> "str"
-def get_type_from_union_literal(union_literal: str) -> str:
-    # if types are literal strings
-    # the type is a string
-    if "Literal" in union_literal:
-        return "str"
-    return union_literal
-
-
-def get_type(value: Any) -> Union[str, type]:
-    """
-    Retrieves the type value from the dictionary.
-
-    Returns:
-        The type value.
-    """
-    # get "type" or "annotation" from the value
-    _type = value.get("type") or value.get("annotation")
-
-    return _type if isinstance(_type, str) else _type.__name__
-
-
-def remove_optional_wrapper(_type: Union[str, type]) -> str:
-    """
-    Removes the 'Optional' wrapper from the type string.
-
-    Returns:
-        The type string with the 'Optional' wrapper removed.
-    """
-    if isinstance(_type, type):
-        _type = str(_type)
-    if "Optional" in _type:
-        _type = _type.replace("Optional[", "")[:-1]
-
-    return _type
-
-
-def check_list_type(_type: str, value: Dict[str, Any]) -> str:
-    """
-    Checks if the type is a list type and modifies the value accordingly.
-
-    Returns:
-        The modified type string.
-    """
-    if any(list_type in _type for list_type in ["List", "Sequence", "Set"]):
-        _type = _type.replace("List[", "").replace("Sequence[", "").replace("Set[", "")[:-1]
-        value["list"] = True
-    else:
-        value["list"] = False
-
-    return _type
-
-
-def replace_mapping_with_dict(_type: str) -> str:
-    """
-    Replaces 'Mapping' with 'dict' in the type string.
-
-    Returns:
-        The modified type string.
-    """
-    if "Mapping" in _type:
-        _type = _type.replace("Mapping", "dict")
-
-    return _type
-
-
-def get_formatted_type(key: str, _type: str) -> str:
-    """
-    Formats the type value based on the given key.
-
-    Returns:
-        The formatted type value.
-    """
-    if key == "allowed_tools":
-        return "Tool"
-
-    elif key == "max_value_length":
-        return "int"
-
-    return _type
-
-
-def should_show_field(value: Dict[str, Any], key: str) -> bool:
-    """
-    Determines if the field should be shown or not.
-
-    Returns:
-        True if the field should be shown, False otherwise.
-    """
-    return (
-        (value["required"] and key != "input_variables")
-        or key in FORCE_SHOW_FIELDS
-        or any(text in key.lower() for text in ["password", "token", "api", "key"])
-    )
-
-
-def is_password_field(key: str) -> bool:
-    """
-    Determines if the field is a password field.
-
-    Returns:
-        True if the field is a password field, False otherwise.
-    """
-    return any(text in key.lower() for text in ["password", "token", "api", "key"])
-
-
-def is_multiline_field(key: str) -> bool:
-    """
-    Determines if the field is a multiline field.
-
-    Returns:
-        True if the field is a multiline field, False otherwise.
-    """
-    return key in {
-        "suffix",
-        "prefix",
-        "template",
-        "examples",
-        "code",
-        "headers",
-        "format_instructions",
-    }
-
-
-def set_dict_file_attributes(value: Dict[str, Any]) -> None:
-    """
-    Sets the file attributes for the 'dict_' key.
-    """
-    value["type"] = "file"
-    value["fileTypes"] = [".json", ".yaml", ".yml"]
-
-
-def replace_default_value_with_actual(value: Dict[str, Any]) -> None:
-    """
-    Replaces the default value with the actual value.
-    """
-    if "default" in value:
-        value["value"] = value["default"]
-        value.pop("default")
-
-
-def set_headers_value(value: Dict[str, Any]) -> None:
-    """
-    Sets the value for the 'headers' key.
-    """
-    value["value"] = """{"Authorization": "Bearer <token>"}"""
-
-
-def add_options_to_field(value: Dict[str, Any], class_name: Optional[str], key: str) -> None:
-    """
-    Adds options to the field based on the class name and key.
-    """
-    options_map = {
-        "OpenAI": constants.OPENAI_MODELS,
-        "ChatOpenAI": constants.CHAT_OPENAI_MODELS,
-        "Anthropic": constants.ANTHROPIC_MODELS,
-        "ChatAnthropic": constants.ANTHROPIC_MODELS,
-    }
-
-    if class_name in options_map and key == "model_name":
-        value["options"] = options_map[class_name]
-        value["list"] = True
-        value["value"] = options_map[class_name][0]
-
-
-def build_loader_repr_from_documents(documents: List[Document]) -> str:
-    if documents:
-        avg_length = sum(len(doc.page_content) for doc in documents) / len(documents)
-        return f"""{len(documents)} documents
-        \nAvg. Document Length (characters): {int(avg_length)}
-        Documents: {documents[:3]}..."""
-    return "0 documents"
diff --git a/src/backend/langflow/utils/validate.py b/src/backend/langflow/utils/validate.py
deleted file mode 100644
index 6e6226568cf..00000000000
--- a/src/backend/langflow/utils/validate.py
+++ /dev/null
@@ -1,303 +0,0 @@
-import ast
-import contextlib
-import importlib
-from types import FunctionType
-from typing import Dict, List, Optional, Union
-
-from langflow.field_typing.constants import CUSTOM_COMPONENT_SUPPORTED_TYPES
-
-
-def add_type_ignores():
-    if not hasattr(ast, "TypeIgnore"):
-
-        class TypeIgnore(ast.AST):
-            _fields = ()
-
-        ast.TypeIgnore = TypeIgnore
-
-
-def validate_code(code):
-    # Initialize the errors dictionary
-    errors = {"imports": {"errors": []}, "function": {"errors": []}}
-
-    # Parse the code string into an abstract syntax tree (AST)
-    try:
-        tree = ast.parse(code)
-    except Exception as e:
-        errors["function"]["errors"].append(str(e))
-        return errors
-
-    # Add a dummy type_ignores field to the AST
-    add_type_ignores()
-    tree.type_ignores = []
-
-    # Evaluate the import statements
-    for node in tree.body:
-        if isinstance(node, ast.Import):
-            for alias in node.names:
-                try:
-                    importlib.import_module(alias.name)
-                except ModuleNotFoundError as e:
-                    errors["imports"]["errors"].append(str(e))
-
-    # Evaluate the function definition
-    for node in tree.body:
-        if isinstance(node, ast.FunctionDef):
-            code_obj = compile(ast.Module(body=[node], type_ignores=[]), "<string>", "exec")
-            try:
-                exec(code_obj)
-            except Exception as e:
-                errors["function"]["errors"].append(str(e))
-
-    # Return the errors dictionary
-    return errors
-
-
-def eval_function(function_string: str):
-    # Create an empty dictionary to serve as a separate namespace
-    namespace: Dict = {}
-
-    # Execute the code string in the new namespace
-    exec(function_string, namespace)
-    function_object = next(
-        (
-            obj
-            for name, obj in namespace.items()
-            if isinstance(obj, FunctionType) and obj.__code__.co_filename == "<string>"
-        ),
-        None,
-    )
-    if function_object is None:
-        raise ValueError("Function string does not contain a function")
-    return function_object
-
-
-def execute_function(code, function_name, *args, **kwargs):
-    add_type_ignores()
-
-    module = ast.parse(code)
-    exec_globals = globals().copy()
-
-    for node in module.body:
-        if isinstance(node, ast.Import):
-            for alias in node.names:
-                try:
-                    exec(
-                        f"{alias.asname or alias.name} = importlib.import_module('{alias.name}')",
-                        exec_globals,
-                        locals(),
-                    )
-                    exec_globals[alias.asname or alias.name] = importlib.import_module(alias.name)
-                except ModuleNotFoundError as e:
-                    raise ModuleNotFoundError(f"Module {alias.name} not found. Please install it and try again.") from e
-
-    function_code = next(
-        node for node in module.body if isinstance(node, ast.FunctionDef) and node.name == function_name
-    )
-    function_code.parent = None
-    code_obj = compile(ast.Module(body=[function_code], type_ignores=[]), "<string>", "exec")
-    try:
-        exec(code_obj, exec_globals, locals())
-    except Exception as exc:
-        raise ValueError("Function string does not contain a function") from exc
-
-    # Add the function to the exec_globals dictionary
-    exec_globals[function_name] = locals()[function_name]
-
-    return exec_globals[function_name](*args, **kwargs)
-
-
-def create_function(code, function_name):
-    if not hasattr(ast, "TypeIgnore"):
-
-        class TypeIgnore(ast.AST):
-            _fields = ()
-
-        ast.TypeIgnore = TypeIgnore
-
-    module = ast.parse(code)
-    exec_globals = globals().copy()
-
-    for node in module.body:
-        if isinstance(node, ast.Import):
-            for alias in node.names:
-                try:
-                    exec_globals[alias.asname or alias.name] = importlib.import_module(alias.name)
-                except ModuleNotFoundError as e:
-                    raise ModuleNotFoundError(f"Module {alias.name} not found. Please install it and try again.") from e
-
-    function_code = next(
-        node for node in module.body if isinstance(node, ast.FunctionDef) and node.name == function_name
-    )
-    function_code.parent = None
-    code_obj = compile(ast.Module(body=[function_code], type_ignores=[]), "<string>", "exec")
-    with contextlib.suppress(Exception):
-        exec(code_obj, exec_globals, locals())
-    exec_globals[function_name] = locals()[function_name]
-
-    # Return a function that imports necessary modules and calls the target function
-    def wrapped_function(*args, **kwargs):
-        for module_name, module in exec_globals.items():
-            if isinstance(module, type(importlib)):
-                globals()[module_name] = module
-
-        return exec_globals[function_name](*args, **kwargs)
-
-    return wrapped_function
-
-
-def create_class(code, class_name):
-    """
-    Dynamically create a class from a string of code and a specified class name.
-
-    :param code: String containing the Python code defining the class
-    :param class_name: Name of the class to be created
-    :return: A function that, when called, returns an instance of the created class
-    """
-    if not hasattr(ast, "TypeIgnore"):
-        ast.TypeIgnore = create_type_ignore_class()
-
-    module = ast.parse(code)
-    exec_globals = prepare_global_scope(code, module)
-
-    class_code = extract_class_code(module, class_name)
-    compiled_class = compile_class_code(class_code)
-
-    return build_class_constructor(compiled_class, exec_globals, class_name)
-
-
-def create_type_ignore_class():
-    """
-    Create a TypeIgnore class for AST module if it doesn't exist.
-
-    :return: TypeIgnore class
-    """
-
-    class TypeIgnore(ast.AST):
-        _fields = ()
-
-    return TypeIgnore
-
-
-def prepare_global_scope(code, module):
-    """
-    Prepares the global scope with necessary imports from the provided code module.
-
-    :param module: AST parsed module
-    :return: Dictionary representing the global scope with imported modules
-    """
-    exec_globals = globals().copy()
-    exec_globals.update(get_default_imports(code))
-    for node in module.body:
-        if isinstance(node, ast.Import):
-            for alias in node.names:
-                try:
-                    exec_globals[alias.asname or alias.name] = importlib.import_module(alias.name)
-                except ModuleNotFoundError as e:
-                    raise ModuleNotFoundError(f"Module {alias.name} not found. Please install it and try again.") from e
-        elif isinstance(node, ast.ImportFrom) and node.module is not None:
-            try:
-                imported_module = importlib.import_module(node.module)
-                for alias in node.names:
-                    exec_globals[alias.name] = getattr(imported_module, alias.name)
-            except ModuleNotFoundError as e:
-                raise ModuleNotFoundError(f"Module {node.module} not found. Please install it and try again.") from e
-    return exec_globals
-
-
-def extract_class_code(module, class_name):
-    """
-    Extracts the AST node for the specified class from the module.
-
-    :param module: AST parsed module
-    :param class_name: Name of the class to extract
-    :return: AST node of the specified class
-    """
-    class_code = next(node for node in module.body if isinstance(node, ast.ClassDef) and node.name == class_name)
-
-    class_code.parent = None
-    return class_code
-
-
-def compile_class_code(class_code):
-    """
-    Compiles the AST node of a class into a code object.
-
-    :param class_code: AST node of the class
-    :return: Compiled code object of the class
-    """
-    code_obj = compile(ast.Module(body=[class_code], type_ignores=[]), "<string>", "exec")
-    return code_obj
-
-
-def build_class_constructor(compiled_class, exec_globals, class_name):
-    """
-    Builds a constructor function for the dynamically created class.
-
-    :param compiled_class: Compiled code object of the class
-    :param exec_globals: Global scope with necessary imports
-    :param class_name: Name of the class
-    :return: Constructor function for the class
-    """
-
-    exec(compiled_class, exec_globals, locals())
-    exec_globals[class_name] = locals()[class_name]
-
-    # Return a function that imports necessary modules and creates an instance of the target class
-    def build_custom_class(*args, **kwargs):
-        for module_name, module in exec_globals.items():
-            if isinstance(module, type(importlib)):
-                globals()[module_name] = module
-
-        instance = exec_globals[class_name](*args, **kwargs)
-        return instance
-
-    build_custom_class.__globals__.update(exec_globals)
-    return build_custom_class
-
-
-def get_default_imports(code_string):
-    """
-    Returns a dictionary of default imports for the dynamic class constructor.
-    """
-
-    default_imports = {
-        "Optional": Optional,
-        "List": List,
-        "Dict": Dict,
-        "Union": Union,
-    }
-    langflow_imports = list(CUSTOM_COMPONENT_SUPPORTED_TYPES.keys())
-    necessary_imports = find_names_in_code(code_string, langflow_imports)
-    langflow_module = importlib.import_module("langflow.field_typing")
-    default_imports.update({name: getattr(langflow_module, name) for name in necessary_imports})
-
-    return default_imports
-
-
-def find_names_in_code(code, names):
-    """
-    Finds if any of the specified names are present in the given code string.
-
-    :param code: The source code as a string.
-    :param names: A list of names to check for in the code.
-    :return: A set of names that are found in the code.
-    """
-    found_names = {name for name in names if name in code}
-    return found_names
-
-
-def extract_function_name(code):
-    module = ast.parse(code)
-    for node in module.body:
-        if isinstance(node, ast.FunctionDef):
-            return node.name
-    raise ValueError("No function definition found in the code string")
-
-
-def extract_class_name(code):
-    module = ast.parse(code)
-    for node in module.body:
-        if isinstance(node, ast.ClassDef):
-            return node.name
-    raise ValueError("No class definition found in the code string")
diff --git a/src/backend/langflow/version/__init__.py b/src/backend/langflow/version/__init__.py
new file mode 100644
index 00000000000..336c63fea7b
--- /dev/null
+++ b/src/backend/langflow/version/__init__.py
@@ -0,0 +1 @@
+from .version import __version__, is_pre_release  # noqa: F401
diff --git a/src/backend/langflow/version/version.py b/src/backend/langflow/version/version.py
new file mode 100644
index 00000000000..dce82702943
--- /dev/null
+++ b/src/backend/langflow/version/version.py
@@ -0,0 +1,10 @@
+from importlib import metadata
+
+try:
+    __version__ = metadata.version("langflow")
+    # Check if the version is a pre-release version
+    is_pre_release = any(label in __version__ for label in ["a", "b", "rc", "dev", "post"])
+except metadata.PackageNotFoundError:
+    __version__ = ""
+    is_pre_release = False
+del metadata
diff --git a/src/backend/langflow/worker.py b/src/backend/langflow/worker.py
deleted file mode 100644
index b3872bcd88b..00000000000
--- a/src/backend/langflow/worker.py
+++ /dev/null
@@ -1,75 +0,0 @@
-from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union
-
-from asgiref.sync import async_to_sync
-from celery.exceptions import SoftTimeLimitExceeded  # type: ignore
-from langflow.core.celery_app import celery_app
-from langflow.processing.process import Result, generate_result, process_inputs
-from langflow.services.deps import get_session_service
-from langflow.services.manager import initialize_session_service
-from loguru import logger
-from rich import print
-
-if TYPE_CHECKING:
-    from langflow.graph.vertex.base import Vertex
-
-
-@celery_app.task(acks_late=True)
-def test_celery(word: str) -> str:
-    return f"test task return {word}"
-
-
-@celery_app.task(bind=True, soft_time_limit=30, max_retries=3)
-def build_vertex(self, vertex: "Vertex") -> "Vertex":
-    """
-    Build a vertex
-    """
-    try:
-        vertex.task_id = self.request.id
-        async_to_sync(vertex.build)()
-        return vertex
-    except SoftTimeLimitExceeded as e:
-        raise self.retry(exc=SoftTimeLimitExceeded("Task took too long"), countdown=2) from e
-
-
-@celery_app.task(acks_late=True)
-def process_graph_cached_task(
-    data_graph: Dict[str, Any],
-    inputs: Optional[Union[dict, List[dict]]] = None,
-    clear_cache=False,
-    session_id=None,
-) -> Dict[str, Any]:
-    try:
-        initialize_session_service()
-        session_service = get_session_service()
-
-        if clear_cache:
-            session_service.clear_session(session_id)
-
-        if session_id is None:
-            session_id = session_service.generate_key(session_id=session_id, data_graph=data_graph)
-
-        # Use async_to_sync to handle the asynchronous part of the session service
-        session_data = async_to_sync(session_service.load_session, force_new_loop=True)(session_id, data_graph)
-        logger.warning(f"session_data: {session_data}")
-        graph, artifacts = session_data if session_data else (None, None)
-
-        if not graph:
-            raise ValueError("Graph not found in the session")
-
-        # Use async_to_sync for the asynchronous build method
-        built_object = async_to_sync(graph.build, force_new_loop=True)()
-
-        logger.debug(f"Built object: {built_object}")
-
-        processed_inputs = process_inputs(inputs, artifacts or {})
-        result = async_to_sync(generate_result, force_new_loop=True)(built_object, processed_inputs)
-
-        # Update the session with the new data
-        session_service.update_session(session_id, (graph, artifacts))
-        result_object = Result(result=result, session_id=session_id).model_dump()
-        print(f"Result object: {result_object}")
-        return result_object
-    except Exception as e:
-        logger.error(f"Error in process_graph_cached_task: {e}")
-        # Handle the exception as needed, maybe re-raise or return an error message
-        raise
diff --git a/src/frontend/.eslintrc.json b/src/frontend/.eslintrc.json
new file mode 100644
index 00000000000..1b09f8c1898
--- /dev/null
+++ b/src/frontend/.eslintrc.json
@@ -0,0 +1,47 @@
+{
+  "extends": [
+    "eslint:recommended",
+    "plugin:react/recommended",
+    "plugin:prettier/recommended"
+  ],
+  "plugins": ["react", "import-helpers", "prettier"],
+  "parser": "@typescript-eslint/parser",
+  "parserOptions": {
+    "project": ["./tsconfig.node.json", "./tsconfig.json"],
+    "extraFileExtensions:": [".mdx"],
+    "extensions:": [".mdx"]
+  },
+  "env": {
+    "browser": true,
+    "es2021": true
+  },
+  "settings": {
+    "react": {
+      "version": "detect"
+    }
+  },
+  "rules": {
+    "no-console": "warn",
+    "no-self-assign": "warn",
+    "no-self-compare": "warn",
+    "complexity": ["error", { "max": 15 }],
+    "indent": ["error", 2, { "SwitchCase": 1 }],
+    "no-dupe-keys": "error",
+    "no-invalid-regexp": "error",
+    "no-undef": "error",
+    "no-return-assign": "error",
+    "no-redeclare": "error",
+    "no-empty": "error",
+    "no-await-in-loop": "error",
+    "react/react-in-jsx-scope": 0,
+    "node/exports-style": ["error", "module.exports"],
+    "node/file-extension-in-import": ["error", "always"],
+    "node/prefer-global/buffer": ["error", "always"],
+    "node/prefer-global/console": ["error", "always"],
+    "node/prefer-global/process": ["error", "always"],
+    "node/prefer-global/url-search-params": ["error", "always"],
+    "node/prefer-global/url": ["error", "always"],
+    "node/prefer-promises/dns": "error",
+    "node/prefer-promises/fs": "error"
+  }
+}
diff --git a/src/frontend/.github/workflows/playwright.yml b/src/frontend/.github/workflows/playwright.yml
deleted file mode 100644
index 90b6b700d4f..00000000000
--- a/src/frontend/.github/workflows/playwright.yml
+++ /dev/null
@@ -1,27 +0,0 @@
-name: Playwright Tests
-on:
-  push:
-    branches: [ main, master ]
-  pull_request:
-    branches: [ main, master ]
-jobs:
-  test:
-    timeout-minutes: 60
-    runs-on: ubuntu-latest
-    steps:
-    - uses: actions/checkout@v3
-    - uses: actions/setup-node@v3
-      with:
-        node-version: 18
-    - name: Install dependencies
-      run: npm ci
-    - name: Install Playwright Browsers
-      run: npx playwright install --with-deps
-    - name: Run Playwright tests
-      run: npx playwright test
-    - uses: actions/upload-artifact@v3
-      if: always()
-      with:
-        name: playwright-report
-        path: playwright-report/
-        retention-days: 30
diff --git a/src/frontend/.gitignore b/src/frontend/.gitignore
index 9dfae2bb0a7..285b976e3ca 100644
--- a/src/frontend/.gitignore
+++ b/src/frontend/.gitignore
@@ -24,3 +24,11 @@ yarn-error.log*
 /test-results/
 /playwright-report/*/
 /playwright/.cache/
+/test-results/
+/playwright-report/
+/blob-report/
+/playwright/.cache/
+/test-results/
+/playwright-report/
+/blob-report/
+/playwright/.cache/
diff --git a/src/frontend/.prettierignore b/src/frontend/.prettierignore
new file mode 100644
index 00000000000..a007feab071
--- /dev/null
+++ b/src/frontend/.prettierignore
@@ -0,0 +1 @@
+build/*
diff --git a/src/frontend/.prettierrc.mjs b/src/frontend/.prettierrc.mjs
new file mode 100644
index 00000000000..c7636f876b3
--- /dev/null
+++ b/src/frontend/.prettierrc.mjs
@@ -0,0 +1,7 @@
+const config = {
+  plugins: ["prettier-plugin-organize-imports", "prettier-plugin-tailwindcss"],
+  tailwindConfig: "./tailwind.config.mjs",
+  organizeImportsSkipDestructiveCodeActions: true,
+};
+
+export default config;
diff --git a/src/frontend/cdk.Dockerfile b/src/frontend/cdk.Dockerfile
index 0b33e09b80f..fb656297654 100644
--- a/src/frontend/cdk.Dockerfile
+++ b/src/frontend/cdk.Dockerfile
@@ -1,5 +1,5 @@
 #baseline
-FROM --platform=linux/amd64 node:19-bullseye-slim AS base
+FROM --platform=linux/amd64 node:21-bookworm-slim AS base
 RUN mkdir -p /home/node/app
 RUN chown -R node:node /home/node && chmod -R 770 /home/node
 RUN apt-get update && apt-get install -y jq curl
diff --git a/src/frontend/dev.Dockerfile b/src/frontend/dev.Dockerfile
index 8678b02dddc..533726ef0b0 100644
--- a/src/frontend/dev.Dockerfile
+++ b/src/frontend/dev.Dockerfile
@@ -1,5 +1,5 @@
 #baseline
-FROM node:19-bullseye-slim AS base
+FROM node:21-bookworm-slim AS base
 RUN mkdir -p /home/node/app
 RUN chown -R node:node /home/node && chmod -R 770 /home/node
 RUN apt-get update && apt-get install -y jq
diff --git a/src/frontend/harFiles/backend_12112023.har b/src/frontend/harFiles/backend_12112023.har
deleted file mode 100644
index 63dbde94a01..00000000000
--- a/src/frontend/harFiles/backend_12112023.har
+++ /dev/null
@@ -1,599 +0,0 @@
-{
-  "log": {
-    "version": "1.2",
-    "creator": {
-      "name": "Playwright",
-      "version": "1.39.0"
-    },
-    "browser": {
-      "name": "chromium",
-      "version": "119.0.6045.9"
-    },
-    "entries": [
-      {
-        "startedDateTime": "2023-12-11T18:54:58.349Z",
-        "time": 1.142,
-        "request": {
-          "method": "GET",
-          "url": "http://localhost:3000/api/v1/store/check/",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Accept", "value": "application/json, text/plain, */*" },
-            { "name": "Accept-Encoding", "value": "gzip, deflate, br" },
-            { "name": "Accept-Language", "value": "en-US,en;q=0.9" },
-            { "name": "Connection", "value": "keep-alive" },
-            { "name": "Host", "value": "localhost:3000" },
-            { "name": "Referer", "value": "http://localhost:3000/" },
-            { "name": "Sec-Fetch-Dest", "value": "empty" },
-            { "name": "Sec-Fetch-Mode", "value": "cors" },
-            { "name": "Sec-Fetch-Site", "value": "same-origin" },
-            { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" },
-            { "name": "sec-ch-ua", "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" },
-            { "name": "sec-ch-ua-mobile", "value": "?0" },
-            { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
-          ],
-          "queryString": [],
-          "headersSize": -1,
-          "bodySize": -1
-        },
-        "response": {
-          "status": 200,
-          "statusText": "OK",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Access-Control-Allow-Origin", "value": "*" },
-            { "name": "connection", "value": "close" },
-            { "name": "content-length", "value": "16" },
-            { "name": "content-type", "value": "application/json" },
-            { "name": "date", "value": "Mon, 11 Dec 2023 18:54:57 GMT" },
-            { "name": "server", "value": "uvicorn" }
-          ],
-          "content": {
-            "size": -1,
-            "mimeType": "application/json",
-            "text": "{\"enabled\":true}"
-          },
-          "headersSize": -1,
-          "bodySize": -1,
-          "redirectURL": ""
-        },
-        "cache": {},
-        "timings": { "send": -1, "wait": -1, "receive": 1.142 }
-      },
-      {
-        "startedDateTime": "2023-12-11T18:54:58.349Z",
-        "time": 0.484,
-        "request": {
-          "method": "GET",
-          "url": "http://localhost:3000/api/v1/store/check/api_key",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Accept", "value": "application/json, text/plain, */*" },
-            { "name": "Accept-Encoding", "value": "gzip, deflate, br" },
-            { "name": "Accept-Language", "value": "en-US,en;q=0.9" },
-            { "name": "Connection", "value": "keep-alive" },
-            { "name": "Host", "value": "localhost:3000" },
-            { "name": "Referer", "value": "http://localhost:3000/" },
-            { "name": "Sec-Fetch-Dest", "value": "empty" },
-            { "name": "Sec-Fetch-Mode", "value": "cors" },
-            { "name": "Sec-Fetch-Site", "value": "same-origin" },
-            { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" },
-            { "name": "sec-ch-ua", "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" },
-            { "name": "sec-ch-ua-mobile", "value": "?0" },
-            { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
-          ],
-          "queryString": [],
-          "headersSize": -1,
-          "bodySize": -1
-        },
-        "response": {
-          "status": 403,
-          "statusText": "Forbidden",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Access-Control-Allow-Origin", "value": "*" },
-            { "name": "connection", "value": "close" },
-            { "name": "content-length", "value": "73" },
-            { "name": "content-type", "value": "application/json" },
-            { "name": "date", "value": "Mon, 11 Dec 2023 18:54:57 GMT" },
-            { "name": "server", "value": "uvicorn" }
-          ],
-          "content": {
-            "size": -1,
-            "mimeType": "application/json",
-            "text": "{\"detail\":\"An API key as query or header, or a JWT token must be passed\"}"
-          },
-          "headersSize": -1,
-          "bodySize": -1,
-          "redirectURL": ""
-        },
-        "cache": {},
-        "timings": { "send": -1, "wait": -1, "receive": 0.484 }
-      },
-      {
-        "startedDateTime": "2023-12-11T18:54:58.349Z",
-        "time": 0.476,
-        "request": {
-          "method": "GET",
-          "url": "http://localhost:3000/api/v1/version",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Accept", "value": "application/json, text/plain, */*" },
-            { "name": "Accept-Encoding", "value": "gzip, deflate, br" },
-            { "name": "Accept-Language", "value": "en-US,en;q=0.9" },
-            { "name": "Connection", "value": "keep-alive" },
-            { "name": "Host", "value": "localhost:3000" },
-            { "name": "Referer", "value": "http://localhost:3000/" },
-            { "name": "Sec-Fetch-Dest", "value": "empty" },
-            { "name": "Sec-Fetch-Mode", "value": "cors" },
-            { "name": "Sec-Fetch-Site", "value": "same-origin" },
-            { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" },
-            { "name": "sec-ch-ua", "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" },
-            { "name": "sec-ch-ua-mobile", "value": "?0" },
-            { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
-          ],
-          "queryString": [],
-          "headersSize": -1,
-          "bodySize": -1
-        },
-        "response": {
-          "status": 200,
-          "statusText": "OK",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Access-Control-Allow-Origin", "value": "*" },
-            { "name": "connection", "value": "close" },
-            { "name": "content-length", "value": "22" },
-            { "name": "content-type", "value": "application/json" },
-            { "name": "date", "value": "Mon, 11 Dec 2023 18:54:57 GMT" },
-            { "name": "server", "value": "uvicorn" }
-          ],
-          "content": {
-            "size": -1,
-            "mimeType": "application/json",
-            "text": "{\"version\":\"0.6.0rc1\"}"
-          },
-          "headersSize": -1,
-          "bodySize": -1,
-          "redirectURL": ""
-        },
-        "cache": {},
-        "timings": { "send": -1, "wait": -1, "receive": 0.476 }
-      },
-      {
-        "startedDateTime": "2023-12-11T18:54:58.349Z",
-        "time": 0.59,
-        "request": {
-          "method": "GET",
-          "url": "http://localhost:3000/api/v1/auto_login",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Accept", "value": "application/json, text/plain, */*" },
-            { "name": "Accept-Encoding", "value": "gzip, deflate, br" },
-            { "name": "Accept-Language", "value": "en-US,en;q=0.9" },
-            { "name": "Connection", "value": "keep-alive" },
-            { "name": "Host", "value": "localhost:3000" },
-            { "name": "Referer", "value": "http://localhost:3000/" },
-            { "name": "Sec-Fetch-Dest", "value": "empty" },
-            { "name": "Sec-Fetch-Mode", "value": "cors" },
-            { "name": "Sec-Fetch-Site", "value": "same-origin" },
-            { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" },
-            { "name": "sec-ch-ua", "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" },
-            { "name": "sec-ch-ua-mobile", "value": "?0" },
-            { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
-          ],
-          "queryString": [],
-          "headersSize": -1,
-          "bodySize": -1
-        },
-        "response": {
-          "status": 200,
-          "statusText": "OK",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Access-Control-Allow-Origin", "value": "*" },
-            { "name": "connection", "value": "close" },
-            { "name": "content-length", "value": "227" },
-            { "name": "content-type", "value": "application/json" },
-            { "name": "date", "value": "Mon, 11 Dec 2023 18:54:57 GMT" },
-            { "name": "server", "value": "uvicorn" }
-          ],
-          "content": {
-            "size": -1,
-            "mimeType": "application/json",
-            "text": "{\"access_token\":\"eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20\",\"refresh_token\":null,\"token_type\":\"bearer\"}"
-          },
-          "headersSize": -1,
-          "bodySize": -1,
-          "redirectURL": ""
-        },
-        "cache": {},
-        "timings": { "send": -1, "wait": -1, "receive": 0.59 }
-      },
-      {
-        "startedDateTime": "2023-12-11T18:54:58.380Z",
-        "time": 0.762,
-        "request": {
-          "method": "GET",
-          "url": "http://localhost:3000/api/v1/store/check/api_key",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Accept", "value": "application/json, text/plain, */*" },
-            { "name": "Accept-Encoding", "value": "gzip, deflate, br" },
-            { "name": "Accept-Language", "value": "en-US,en;q=0.9" },
-            { "name": "Connection", "value": "keep-alive" },
-            { "name": "Host", "value": "localhost:3000" },
-            { "name": "Referer", "value": "http://localhost:3000/" },
-            { "name": "Sec-Fetch-Dest", "value": "empty" },
-            { "name": "Sec-Fetch-Mode", "value": "cors" },
-            { "name": "Sec-Fetch-Site", "value": "same-origin" },
-            { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" },
-            { "name": "sec-ch-ua", "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" },
-            { "name": "sec-ch-ua-mobile", "value": "?0" },
-            { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
-          ],
-          "queryString": [],
-          "headersSize": -1,
-          "bodySize": -1
-        },
-        "response": {
-          "status": 403,
-          "statusText": "Forbidden",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Access-Control-Allow-Origin", "value": "*" },
-            { "name": "connection", "value": "close" },
-            { "name": "content-length", "value": "73" },
-            { "name": "content-type", "value": "application/json" },
-            { "name": "date", "value": "Mon, 11 Dec 2023 18:54:58 GMT" },
-            { "name": "server", "value": "uvicorn" }
-          ],
-          "content": {
-            "size": -1,
-            "mimeType": "application/json",
-            "text": "{\"detail\":\"An API key as query or header, or a JWT token must be passed\"}"
-          },
-          "headersSize": -1,
-          "bodySize": -1,
-          "redirectURL": ""
-        },
-        "cache": {},
-        "timings": { "send": -1, "wait": -1, "receive": 0.762 }
-      },
-      {
-        "startedDateTime": "2023-12-11T18:54:58.423Z",
-        "time": 1.03,
-        "request": {
-          "method": "GET",
-          "url": "http://localhost:3000/api/v1/flows/",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Accept", "value": "application/json, text/plain, */*" },
-            { "name": "Accept-Encoding", "value": "gzip, deflate, br" },
-            { "name": "Accept-Language", "value": "en-US,en;q=0.9" },
-            { "name": "Authorization", "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20" },
-            { "name": "Connection", "value": "keep-alive" },
-            { "name": "Cookie", "value": "access_token_lf=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20; refresh_tkn_lflw=auto" },
-            { "name": "Host", "value": "localhost:3000" },
-            { "name": "Referer", "value": "http://localhost:3000/flows" },
-            { "name": "Sec-Fetch-Dest", "value": "empty" },
-            { "name": "Sec-Fetch-Mode", "value": "cors" },
-            { "name": "Sec-Fetch-Site", "value": "same-origin" },
-            { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" },
-            { "name": "sec-ch-ua", "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" },
-            { "name": "sec-ch-ua-mobile", "value": "?0" },
-            { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
-          ],
-          "queryString": [],
-          "headersSize": -1,
-          "bodySize": -1
-        },
-        "response": {
-          "status": 200,
-          "statusText": "OK",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Access-Control-Allow-Origin", "value": "*" },
-            { "name": "connection", "value": "close" },
-            { "name": "content-length", "value": "375696" },
-            { "name": "content-type", "value": "application/json" },
-            { "name": "date", "value": "Mon, 11 Dec 2023 18:54:58 GMT" },
-            { "name": "server", "value": "uvicorn" }
-          ],
-          "content": {
-            "size": -1,
-            "mimeType": "application/json",
-            "text": "[{\"name\":\"Awesome Euclid\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":374,\"id\":\"PromptTemplate-m2yFu\",\"type\":\"genericNode\",\"position\":{\"x\":462.6456058272081,\"y\":1033.9314297130313},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"transcription\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"create an image prompt based on the song's lyrics to be used as the album cover of this song:\\n\\nlyrics:\\n{transcription}\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"transcription\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"transcription\",\"display_name\":\"transcription\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"PromptTemplate\",\"StringPromptTemplate\",\"BasePromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"transcription\"],\"template\":[\"transcription\",\"question\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-m2yFu\"},\"selected\":false,\"positionAbsolute\":{\"x\":462.6456058272081,\"y\":1033.9314297130313},\"dragging\":false},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-urapv\",\"type\":\"genericNode\",\"position\":{\"x\":189.94856095084924,\"y\":-85.06556385338186},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-urapv\"},\"selected\":false,\"positionAbsolute\":{\"x\":189.94856095084924,\"y\":-85.06556385338186},\"dragging\":false},{\"width\":384,\"height\":806,\"id\":\"CustomComponent-IEIUl\",\"type\":\"genericNode\",\"position\":{\"x\":2364.865919667005,\"y\":88.43094097025096},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nfrom platformdirs import user_cache_dir\\nimport base64\\nfrom PIL import Image\\nfrom io import BytesIO\\nfrom openai import OpenAI\\nfrom pathlib import Path\\n\\nclass Component(CustomComponent):\\n    display_name: str = \\\"Image generator\\\"\\n    description: str = \\\"generate images using Dall-E\\\"\\n    documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n    def build_config(self):\\n        return {\\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\",\\\"input_types\\\":[\\\"str\\\"]},\\n        \\\"api_key\\\":{\\\"display_name\\\":\\\"OpenAI API key\\\",\\\"password\\\":True},\\n        \\\"model\\\":{\\\"display_name\\\":\\\"Model name\\\",\\\"advanced\\\":True,\\\"options\\\":[\\\"dall-e-2\\\",\\\"dall-e-3\\\"], \\\"value\\\":\\\"dall-e-3\\\"},\\n        \\\"file_name\\\":{\\\"display_name\\\":\\\"File Name\\\"},\\n        \\\"output_format\\\":{\\\"display_name\\\":\\\"Output format\\\",\\\"options\\\":[\\\"jpeg\\\",\\\"png\\\"],\\\"value\\\":\\\"jpeg\\\"},\\n        \\\"width\\\":{\\\"display_name\\\":\\\"Width\\\" ,\\\"value\\\":1024},\\n        \\\"height\\\":{\\\"display_name\\\":\\\"Height\\\", \\\"value\\\":1024}\\n        }\\n\\n    def build(self, prompt:str,api_key:str,model:str,file_name:str,output_format:str,width:int,height:int):\\n        client = OpenAI(api_key=api_key)\\n        cache_dir = Path(user_cache_dir(\\\"langflow\\\"))\\n        images_dir = cache_dir / \\\"images\\\"\\n        images_dir.mkdir(parents=True, exist_ok=True)\\n        image_path = images_dir / f\\\"{file_name}.{output_format}\\\"\\n        response = client.images.generate(\\n          model=model,\\n          prompt=prompt,\\n          size=f\\\"{height}x{width}\\\",\\n          response_format=\\\"b64_json\\\",\\n          n=1,\\n        )\\n        # Decode base64-encoded image string\\n        binary_data = base64.b64decode(response.data[0].b64_json)\\n        # Create PIL Image object from binary image data\\n        image_pil = Image.open(BytesIO(binary_data))\\n        image_pil.save(image_path, format=output_format.upper())\\n        return \\\"\\\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"api_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"api_key\",\"display_name\":\"OpenAI API key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"file_name\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"file_name\",\"display_name\":\"File Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"album\"},\"height\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1024,\"password\":false,\"name\":\"height\",\"display_name\":\"Height\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"dall-e-3\",\"password\":false,\"options\":[\"dall-e-2\",\"dall-e-3\"],\"name\":\"model\",\"display_name\":\"Model name\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"output_format\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"jpeg\",\"password\":false,\"options\":[\"jpeg\",\"png\"],\"name\":\"output_format\",\"display_name\":\"Output format\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"input_types\":[\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"width\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1024,\"password\":false,\"name\":\"width\",\"display_name\":\"Width\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false}},\"description\":\"generate images using Dall-E\",\"base_classes\":[\"Data\"],\"display_name\":\"Image generator\",\"custom_fields\":{\"api_key\":null,\"file_name\":null,\"height\":null,\"model\":null,\"output_format\":null,\"prompt\":null,\"width\":null},\"output_types\":[\"Data\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-IEIUl\"},\"selected\":false,\"positionAbsolute\":{\"x\":2364.865919667005,\"y\":88.43094097025096}},{\"width\":384,\"height\":338,\"id\":\"LLMChain-KlJb3\",\"type\":\"genericNode\",\"position\":{\"x\":1242.9851164540805,\"y\":-139.74634696823108},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-KlJb3\"},\"selected\":false,\"positionAbsolute\":{\"x\":1242.9851164540805,\"y\":-139.74634696823108},\"dragging\":false},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-bCuc0\",\"type\":\"genericNode\",\"position\":{\"x\":1747.8107777342625,\"y\":319.13729017446667},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\n\\nclass Component(CustomComponent):\\n    display_name: str = \\\"Custom Component\\\"\\n    description: str = \\\"Create any custom component you want!\\\"\\n    documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n    def build_config(self):\\n        return {\\\"param\\\": {\\\"display_name\\\": \\\"Parameter\\\"}}\\n\\n    def build(self, param: Chain) -> str:\\n        result = param.run({})\\n        self.status = result\\n        return result\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"param\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"param\",\"display_name\":\"Parameter\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Chain\",\"list\":false}},\"description\":\"Create any custom component you want!\",\"base_classes\":[\"str\"],\"display_name\":\"Custom Component\",\"custom_fields\":{\"param\":null},\"output_types\":[\"str\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-bCuc0\"},\"selected\":false,\"positionAbsolute\":{\"x\":1747.8107777342625,\"y\":319.13729017446667}}],\"edges\":[{\"source\":\"LLMChain-KlJb3\",\"target\":\"CustomComponent-bCuc0\",\"sourceHandle\":\"{œbaseClassesœ:[œChainœ,œCallableœ],œdataTypeœ:œLLMChainœ,œidœ:œLLMChain-KlJb3œ}\",\"targetHandle\":\"{œfieldNameœ:œparamœ,œidœ:œCustomComponent-bCuc0œ,œinputTypesœ:null,œtypeœ:œChainœ}\",\"id\":\"reactflow__edge-LLMChain-KlJb3{œbaseClassesœ:[œChainœ,œCallableœ],œdataTypeœ:œLLMChainœ,œidœ:œLLMChain-KlJb3œ}-CustomComponent-bCuc0{œfieldNameœ:œparamœ,œidœ:œCustomComponent-bCuc0œ,œinputTypesœ:null,œtypeœ:œChainœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"param\",\"id\":\"CustomComponent-bCuc0\",\"inputTypes\":null,\"type\":\"Chain\"},\"sourceHandle\":{\"baseClasses\":[\"Chain\",\"Callable\"],\"dataType\":\"LLMChain\",\"id\":\"LLMChain-KlJb3\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"ChatOpenAI-urapv\",\"target\":\"LLMChain-KlJb3\",\"sourceHandle\":\"{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-urapvœ}\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"id\":\"reactflow__edge-ChatOpenAI-urapv{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-urapvœ}-LLMChain-KlJb3{œfieldNameœ:œllmœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-KlJb3\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-urapv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"PromptTemplate-m2yFu\",\"target\":\"LLMChain-KlJb3\",\"sourceHandle\":\"{œbaseClassesœ:[œPromptTemplateœ,œStringPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-m2yFuœ}\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"id\":\"reactflow__edge-PromptTemplate-m2yFu{œbaseClassesœ:[œPromptTemplateœ,œStringPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-m2yFuœ}-LLMChain-KlJb3{œfieldNameœ:œpromptœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-KlJb3\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"PromptTemplate\",\"StringPromptTemplate\",\"BasePromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-m2yFu\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"CustomComponent-bCuc0\",\"target\":\"CustomComponent-IEIUl\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-bCuc0œ}\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œCustomComponent-IEIUlœ,œinputTypesœ:[œstrœ],œtypeœ:œstrœ}\",\"id\":\"reactflow__edge-CustomComponent-bCuc0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-bCuc0œ}-CustomComponent-IEIUl{œfieldNameœ:œpromptœ,œidœ:œCustomComponent-IEIUlœ,œinputTypesœ:[œstrœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"CustomComponent-IEIUl\",\"inputTypes\":[\"str\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-bCuc0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"selected\":false}],\"viewport\":{\"x\":92.23454077990459,\"y\":183.8125619056221,\"zoom\":0.6070974421975234}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:33:18.503954\",\"folder\":null,\"id\":\"fe142ce5-32dc-4955-b186-672ced662f13\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Darwin\",\"description\":\"Conversation Catalyst Engine.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":626,\"id\":\"OpenAI-3ZVDh\",\"type\":\"genericNode\",\"position\":{\"x\":-4.0041891741949485,\"y\":-114.02615182719649},\"data\":{\"type\":\"OpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"batch_size\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":20,\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"best_of\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"best_of\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"frequency_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"frequency_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"logit_bias\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"logit_bias\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":256,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-davinci-003\",\"password\":false,\"options\":[\"text-davinci-003\",\"text-davinci-002\",\"text-curie-001\",\"text-babbage-001\",\"text-ada-001\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"presence_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"presence_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"top_p\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"top_p\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"OpenAI\"},\"description\":\"OpenAI large language models.\",\"base_classes\":[\"OpenAI\",\"BaseLLM\",\"BaseOpenAI\",\"BaseLanguageModel\"],\"display_name\":\"OpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAI-3ZVDh\"},\"selected\":true,\"positionAbsolute\":{\"x\":-4.0041891741949485,\"y\":-114.02615182719649},\"dragging\":false},{\"width\":384,\"height\":338,\"id\":\"LLMChain-RFYXY\",\"type\":\"genericNode\",\"position\":{\"x\":586.672100458868,\"y\":10.967049167706678},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-RFYXY\"},\"positionAbsolute\":{\"x\":586.672100458868,\"y\":10.967049167706678}},{\"width\":384,\"height\":242,\"id\":\"ChatPromptTemplate-ce1sg\",\"type\":\"genericNode\",\"position\":{\"x\":395.598984452791,\"y\":612.188491773035},\"data\":{\"type\":\"ChatPromptTemplate\",\"node\":{\"template\":{\"messages\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"messages\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseMessagePromptTemplate\",\"list\":true},\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatPromptTemplate\"},\"description\":\"A prompt template for chat models.\",\"base_classes\":[\"ChatPromptTemplate\",\"BaseChatPromptTemplate\",\"BasePromptTemplate\"],\"display_name\":\"ChatPromptTemplate\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/how_to/prompts\",\"beta\":false,\"error\":null},\"id\":\"ChatPromptTemplate-ce1sg\"},\"selected\":false,\"positionAbsolute\":{\"x\":395.598984452791,\"y\":612.188491773035},\"dragging\":false}],\"edges\":[{\"source\":\"OpenAI-3ZVDh\",\"sourceHandle\":\"{œbaseClassesœ:[œOpenAIœ,œBaseLLMœ,œBaseOpenAIœ,œBaseLanguageModelœ],œdataTypeœ:œOpenAIœ,œidœ:œOpenAI-3ZVDhœ}\",\"target\":\"LLMChain-RFYXY\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-RFYXY\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"OpenAI\",\"BaseLLM\",\"BaseOpenAI\",\"BaseLanguageModel\"],\"dataType\":\"OpenAI\",\"id\":\"OpenAI-3ZVDh\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-OpenAI-3ZVDh{œbaseClassesœ:[œOpenAIœ,œBaseLLMœ,œBaseOpenAIœ,œBaseLanguageModelœ],œdataTypeœ:œOpenAIœ,œidœ:œOpenAI-3ZVDhœ}-LLMChain-RFYXY{œfieldNameœ:œllmœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\"},{\"source\":\"ChatPromptTemplate-ce1sg\",\"sourceHandle\":\"{œbaseClassesœ:[œChatPromptTemplateœ,œBaseChatPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œChatPromptTemplateœ,œidœ:œChatPromptTemplate-ce1sgœ}\",\"target\":\"LLMChain-RFYXY\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-RFYXY\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"ChatPromptTemplate\",\"BaseChatPromptTemplate\",\"BasePromptTemplate\"],\"dataType\":\"ChatPromptTemplate\",\"id\":\"ChatPromptTemplate-ce1sg\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatPromptTemplate-ce1sg{œbaseClassesœ:[œChatPromptTemplateœ,œBaseChatPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œChatPromptTemplateœ,œidœ:œChatPromptTemplate-ce1sgœ}-LLMChain-RFYXY{œfieldNameœ:œpromptœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":8.832868402772647,\"y\":189.85443326477025,\"zoom\":0.6070974421975235}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:50:19.584160\",\"folder\":null,\"id\":\"103766f0-1f50-427a-9ba7-2ab73343c524\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Perky Easley\",\"description\":\"Your Toolkit for Text Generation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-VPh47\",\"type\":\"genericNode\",\"position\":{\"x\":-328.5742193020408,\"y\":-420.1025929438987},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-3.5-turbo\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseChatModel\",\"ChatOpenAI\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-VPh47\"},\"selected\":false,\"positionAbsolute\":{\"x\":-328.5742193020408,\"y\":-420.1025929438987},\"dragging\":false},{\"width\":384,\"height\":338,\"id\":\"LLMChain-NgFyo\",\"type\":\"genericNode\",\"position\":{\"x\":225.3113389084088,\"y\":-193.3520019494289},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-NgFyo\"},\"selected\":false,\"positionAbsolute\":{\"x\":225.3113389084088,\"y\":-193.3520019494289},\"dragging\":false},{\"width\":384,\"height\":374,\"id\":\"PromptTemplate-oAFjh\",\"type\":\"genericNode\",\"position\":{\"x\":-342.62522294052764,\"y\":391.20629510686103},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"links\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Answer everything with links\\n{links}\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"links\",\"display_name\":\"links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"BasePromptTemplate\",\"StringPromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"links\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-oAFjh\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-342.62522294052764,\"y\":391.20629510686103}}],\"edges\":[{\"source\":\"ChatOpenAI-VPh47\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VPh47œ}\",\"target\":\"LLMChain-NgFyo\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-NgFyo\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseChatModel\",\"ChatOpenAI\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-VPh47\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-VPh47{œbaseClassesœ:[œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VPh47œ}-LLMChain-NgFyo{œfieldNameœ:œllmœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\"},{\"source\":\"PromptTemplate-oAFjh\",\"sourceHandle\":\"{œbaseClassesœ:[œBasePromptTemplateœ,œStringPromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-oAFjhœ}\",\"target\":\"LLMChain-NgFyo\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-NgFyo\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"BasePromptTemplate\",\"StringPromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-oAFjh\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-PromptTemplate-oAFjh{œbaseClassesœ:[œBasePromptTemplateœ,œStringPromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-oAFjhœ}-LLMChain-NgFyo{œfieldNameœ:œpromptœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":338.6546182690814,\"y\":53.026340800283265,\"zoom\":0.7169776240079143}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:53:25.148460\",\"folder\":null,\"id\":\"a794fc48-5e9b-42a3-924f-7fe610500035\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"(D) Basic Chat (1) (4)\",\"description\":\"Simplest possible chat model\",\"data\":{\"nodes\":[{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-fBcfh\",\"type\":\"genericNode\",\"position\":{\"x\":228.87326389541306,\"y\":465.8628482073749},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-3.5-turbo\",\"password\":false,\"options\":[\"gpt-3.5-turbo-0613\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k-0613\",\"gpt-3.5-turbo-16k\",\"gpt-4-0613\",\"gpt-4-32k-0613\",\"gpt-4\",\"gpt-4-32k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false,\"value\":60},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseChatModel\",\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\"},\"id\":\"ChatOpenAI-fBcfh\",\"value\":null},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":228.87326389541306,\"y\":465.8628482073749}},{\"width\":384,\"height\":310,\"id\":\"ConversationChain-bVNex\",\"type\":\"genericNode\",\"position\":{\"x\":806,\"y\":554},\"data\":{\"type\":\"ConversationChain\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":{\"_type\":\"default\"},\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLMOutputParser\",\"list\":false},\"prompt\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":{\"input_variables\":[\"history\",\"input\"],\"output_parser\":null,\"partial_variables\":{},\"template\":\"The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.\\n\\nCurrent conversation:\\n{history}\\nHuman: {input}\\nAI:\",\"template_format\":\"f-string\",\"validate_template\":true,\"_type\":\"prompt\"},\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false},\"input_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"input\",\"password\":false,\"name\":\"input_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"llm_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"llm_kwargs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"output_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"response\",\"password\":false,\"name\":\"output_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"return_final_only\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":true,\"password\":false,\"name\":\"return_final_only\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ConversationChain\"},\"description\":\"Chain to have a conversation and load context from memory.\",\"base_classes\":[\"ConversationChain\",\"Chain\",\"LLMChain\",\"function\"],\"display_name\":\"ConversationChain\",\"documentation\":\"\"},\"id\":\"ConversationChain-bVNex\",\"value\":null},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":806,\"y\":554}}],\"edges\":[{\"source\":\"ChatOpenAI-fBcfh\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseChatModelœ,œBaseLanguageModelœ,œChatOpenAIœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-fBcfhœ}\",\"target\":\"ConversationChain-bVNex\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œConversationChain-bVNexœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"className\":\"stroke-gray-900  stroke-connection\",\"id\":\"reactflow__edge-ChatOpenAI-fBcfh{œbaseClassesœ:[œBaseChatModelœ,œBaseLanguageModelœ,œChatOpenAIœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-fBcfhœ}-ConversationChain-bVNex{œfieldNameœ:œllmœ,œidœ:œConversationChain-bVNexœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"BaseChatModel\",\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-fBcfh\"},\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"ConversationChain-bVNex\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"}},\"style\":{\"stroke\":\"#555\"},\"animated\":false}],\"viewport\":{\"x\":-118.21416568593895,\"y\":-240.64815770363373,\"zoom\":0.7642485855675408}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:57:55.879806\",\"folder\":null,\"id\":\"bddebeea-b80a-4b28-8895-c4425687dcce\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Directory Loader\",\"description\":\"Generic File Loader\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"import os\\n\\nfrom langchain.schema import Document\\nfrom langflow import CustomComponent\\nimport glob\\n\\nclass DirectoryLoaderComponent(CustomComponent):\\n    display_name: str = \\\"Directory Loader\\\"\\n    description: str = \\\"Generic File Loader\\\"\\n    beta = True\\n    loaders_info = [\\n    {\\n        \\\"loader\\\": \\\"AirbyteJSONLoader\\\",\\n        \\\"name\\\": \\\"Airbyte JSON (.jsonl)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.AirbyteJSONLoader\\\",\\n        \\\"defaultFor\\\": [\\\"jsonl\\\"],\\n        \\\"allowdTypes\\\": [\\\"jsonl\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"JSONLoader\\\",\\n        \\\"name\\\": \\\"JSON (.json)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.JSONLoader\\\",\\n        \\\"defaultFor\\\": [\\\"json\\\"],\\n        \\\"allowdTypes\\\": [\\\"json\\\"],\\n        \\\"kwargs\\\": {\\\"jq_schema\\\": \\\".\\\", \\\"text_content\\\": False}\\n    },\\n    {\\n        \\\"loader\\\": \\\"BSHTMLLoader\\\",\\n        \\\"name\\\": \\\"BeautifulSoup4 HTML (.html, .htm)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.BSHTMLLoader\\\",\\n        \\\"allowdTypes\\\": [\\\"html\\\", \\\"htm\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"CSVLoader\\\",\\n        \\\"name\\\": \\\"CSV (.csv)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.CSVLoader\\\",\\n        \\\"defaultFor\\\": [\\\"csv\\\"],\\n        \\\"allowdTypes\\\": [\\\"csv\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"CoNLLULoader\\\",\\n        \\\"name\\\": \\\"CoNLL-U (.conllu)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.CoNLLULoader\\\",\\n        \\\"defaultFor\\\": [\\\"conllu\\\"],\\n        \\\"allowdTypes\\\": [\\\"conllu\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"EverNoteLoader\\\",\\n        \\\"name\\\": \\\"EverNote (.enex)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.EverNoteLoader\\\",\\n        \\\"defaultFor\\\": [\\\"enex\\\"],\\n        \\\"allowdTypes\\\": [\\\"enex\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"FacebookChatLoader\\\",\\n        \\\"name\\\": \\\"Facebook Chat (.json)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.FacebookChatLoader\\\",\\n        \\\"allowdTypes\\\": [\\\"json\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"OutlookMessageLoader\\\",\\n        \\\"name\\\": \\\"Outlook Message (.msg)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.OutlookMessageLoader\\\",\\n        \\\"defaultFor\\\": [\\\"msg\\\"],\\n        \\\"allowdTypes\\\": [\\\"msg\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"PyPDFLoader\\\",\\n        \\\"name\\\": \\\"PyPDF (.pdf)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.PyPDFLoader\\\",\\n        \\\"defaultFor\\\": [\\\"pdf\\\"],\\n        \\\"allowdTypes\\\": [\\\"pdf\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"STRLoader\\\",\\n        \\\"name\\\": \\\"Subtitle (.str)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.STRLoader\\\",\\n        \\\"defaultFor\\\": [\\\"str\\\"],\\n        \\\"allowdTypes\\\": [\\\"str\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"TextLoader\\\",\\n        \\\"name\\\": \\\"Text (.txt)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.TextLoader\\\",\\n        \\\"defaultFor\\\": [\\\"txt\\\"],\\n        \\\"allowdTypes\\\": [\\\"txt\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredEmailLoader\\\",\\n        \\\"name\\\": \\\"Unstructured Email (.eml)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredEmailLoader\\\",\\n        \\\"defaultFor\\\": [\\\"eml\\\"],\\n        \\\"allowdTypes\\\": [\\\"eml\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredHTMLLoader\\\",\\n        \\\"name\\\": \\\"Unstructured HTML (.html, .htm)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredHTMLLoader\\\",\\n        \\\"defaultFor\\\": [\\\"html\\\", \\\"htm\\\"],\\n        \\\"allowdTypes\\\": [\\\"html\\\", \\\"htm\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredMarkdownLoader\\\",\\n        \\\"name\\\": \\\"Unstructured Markdown (.md)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredMarkdownLoader\\\",\\n        \\\"defaultFor\\\": [\\\"md\\\"],\\n        \\\"allowdTypes\\\": [\\\"md\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredPowerPointLoader\\\",\\n        \\\"name\\\": \\\"Unstructured PowerPoint (.pptx)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredPowerPointLoader\\\",\\n        \\\"defaultFor\\\": [\\\"pptx\\\"],\\n        \\\"allowdTypes\\\": [\\\"pptx\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredWordLoader\\\",\\n        \\\"name\\\": \\\"Unstructured Word (.docx)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredWordLoader\\\",\\n        \\\"defaultFor\\\": [\\\"docx\\\"],\\n        \\\"allowdTypes\\\": [\\\"docx\\\"],\\n    },\\n]\\n\\n\\n    def build_config(self):\\n        loader_options = [\\\"Automatic\\\"] + [\\n            loader_info[\\\"name\\\"] for loader_info in self.loaders_info\\n        ]\\n\\n        file_types = []\\n        suffixes = []\\n\\n        for loader_info in self.loaders_info:\\n            if \\\"allowedTypes\\\" in loader_info:\\n                file_types.extend(loader_info[\\\"allowedTypes\\\"])\\n                suffixes.extend([f\\\".{ext}\\\" for ext in loader_info[\\\"allowedTypes\\\"]])\\n\\n        return {\\n            \\\"directory_path\\\": {\\n                \\\"display_name\\\": \\\"Directory Path\\\",\\n                \\\"required\\\": True,\\n            },\\n            \\\"loader\\\": {\\n                \\\"display_name\\\": \\\"Loader\\\",\\n                \\\"is_list\\\": True,\\n                \\\"required\\\": True,\\n                \\\"options\\\": loader_options,\\n                \\\"value\\\": \\\"Automatic\\\",\\n            },\\n        }\\n\\n    def build(self, directory_path: str, loader: str) -> Document:\\n        # Verifique se o diretório existe\\n        if not os.path.exists(directory_path):\\n            raise ValueError(f\\\"Directory not found: {directory_path}\\\")\\n\\n        files = glob.glob(directory_path + \\\"/*.*\\\")\\n\\n\\n        loader_info = None\\n        if loader == \\\"Automatic\\\":\\n            for file in files:\\n                file_type = file.split(\\\".\\\")[-1]\\n\\n\\n                for info in self.loaders_info:\\n                    if \\\"defaultFor\\\" in info:\\n                        if file_type in info[\\\"defaultFor\\\"]:\\n                            loader_info = info\\n                            break\\n                if loader_info:\\n                    break\\n\\n            if not loader_info:\\n                raise ValueError(\\n                    \\\"No default loader found for any file in the directory\\\"\\n                )\\n\\n        else:\\n            for info in self.loaders_info:\\n                if info[\\\"name\\\"] == loader:\\n                    loader_info = info\\n                    break\\n\\n            if not loader_info:\\n                raise ValueError(f\\\"Loader {loader} not found in the loader info list\\\")\\n\\n        loader_import = loader_info[\\\"import\\\"]\\n        module_name, class_name = loader_import.rsplit(\\\".\\\", 1)\\n\\n        try:\\n            # Importe o loader dinamicamente\\n            loader_module = __import__(module_name, fromlist=[class_name])\\n            loader_instance = getattr(loader_module, class_name)\\n        except ImportError as e:\\n            raise ValueError(\\n                f\\\"Loader {loader} could not be imported\\\\nLoader info:\\\\n{loader_info}\\\"\\n            ) from e\\n\\n        results = []\\n        for file in files:\\n            file_path = os.path.join(directory_path, file)\\n            kwargs = loader_info.get(\\\"kwargs\\\", {})\\n            result = loader_instance(file_path=file_path, **kwargs).load()\\n            results.append(result)\\n        self.status = results\\n        return results\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"directory_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"directory_path\",\"display_name\":\"Directory Path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"/Users/ogabrielluiz/Projects/langflow2/docs\"},\"loader\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"Automatic\",\"password\":false,\"options\":[\"Automatic\",\"Airbyte JSON (.jsonl)\",\"JSON (.json)\",\"BeautifulSoup4 HTML (.html, .htm)\",\"CSV (.csv)\",\"CoNLL-U (.conllu)\",\"EverNote (.enex)\",\"Facebook Chat (.json)\",\"Outlook Message (.msg)\",\"PyPDF (.pdf)\",\"Subtitle (.str)\",\"Text (.txt)\",\"Unstructured Email (.eml)\",\"Unstructured HTML (.html, .htm)\",\"Unstructured Markdown (.md)\",\"Unstructured PowerPoint (.pptx)\",\"Unstructured Word (.docx)\"],\"name\":\"loader\",\"display_name\":\"Loader\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true}},\"description\":\"Generic File Loader\",\"base_classes\":[\"Document\"],\"display_name\":\"Directory Loader\",\"custom_fields\":{\"directory_path\":null,\"loader\":null},\"output_types\":[\"Document\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-Ip6tG\"},\"id\":\"CustomComponent-Ip6tG\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-04T22:58:38.570303\",\"folder\":null,\"id\":\"5fe4debc-b6a7-45d4-a694-c02d8aa93b08\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Whisper Transcriber\",\"description\":\"Converts audio to text using OpenAI's Whisper.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import Optional, List, Dict, Union\\nfrom langflow.field_typing import (\\n    AgentExecutor,\\n    BaseChatMemory,\\n    BaseLanguageModel,\\n    BaseLLM,\\n    BaseLoader,\\n    BaseMemory,\\n    BaseOutputParser,\\n    BasePromptTemplate,\\n    BaseRetriever,\\n    Callable,\\n    Chain,\\n    ChatPromptTemplate,\\n    Data,\\n    Document,\\n    Embeddings,\\n    NestedDict,\\n    Object,\\n    PromptTemplate,\\n    TextSplitter,\\n    Tool,\\n    VectorStore,\\n)\\n\\nfrom openai import OpenAI\\nclass Component(CustomComponent):\\n    display_name: str = \\\"Whisper Transcriber\\\"\\n    description: str = \\\"Converts audio to text using OpenAI's Whisper.\\\"\\n\\n    def build_config(self):\\n        return {\\\"audio\\\":{\\\"field_type\\\":\\\"file\\\",\\\"suffixes\\\":[\\\".mp3\\\", \\\".mp4\\\", \\\".m4a\\\"]},\\\"OpenAIKey\\\":{\\\"field_type\\\":\\\"str\\\",\\\"password\\\":True}}\\n\\n    def build(self, audio:str, OpenAIKey:str) -> str:\\n        \\n        #  TODO: if output path, persist & load it instead\\n        \\n        client = OpenAI(api_key=OpenAIKey)\\n        \\n        audio_file= open(audio, \\\"rb\\\")\\n        transcript = client.audio.transcriptions.create(\\n          model=\\\"whisper-1\\\", \\n          file=audio_file,\\n          response_format=\\\"text\\\"\\n        )\\n        \\n        \\n        self.status = transcript\\n        return transcript\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"OpenAIKey\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"OpenAIKey\",\"display_name\":\"OpenAIKey\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"audio\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"suffixes\":[\".mp3\",\".mp4\",\".m4a\"],\"password\":false,\"name\":\"audio\",\"display_name\":\"audio\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"file_path\":\"/Users/rodrigonader/Library/Caches/langflow/19b3e1c9-90bf-405f-898a-e982f47adf76/a3308ce7e9b10088fcd985aabb6d17b012c6b6e81ff8806356574474c9d10229.m4a\",\"value\":\"Audio Recording 2023-11-29 at 12.12.04.m4a\"}},\"description\":\"Converts audio to text using OpenAI's Whisper.\",\"base_classes\":[\"str\"],\"display_name\":\"Whisper Transcriber\",\"custom_fields\":{\"OpenAIKey\":null,\"audio\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-GJRrs\"},\"id\":\"CustomComponent-GJRrs\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-04T22:58:39.710502\",\"folder\":null,\"id\":\"bd9e911d-46bd-429f-aa75-dd740430695e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Youtube Conversation\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":589,\"id\":\"CustomComponent-h0NSI\",\"type\":\"genericNode\",\"position\":{\"x\":714.9531293402755,\"y\":0.4994374160582993},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"import requests\\nfrom langflow import CustomComponent\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.schema import Document\\nfrom langchain.document_loaders import YoutubeLoader\\n\\n# Example usage:\\n\\nclass YourComponent(CustomComponent):\\n    display_name: str = \\\"YouTube Transcript\\\"\\n    description: str = \\\"YouTube transcripts refer to the written text versions of the spoken content in a video uploaded to the YouTube platform.\\\"\\n\\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"multiline\\\": True, \\\"required\\\": True}}\\n\\n    def build(self, url: str, llm: BaseLLM, dependencies: Document, language: str = \\\"en\\\") -> Document:\\n        dependencies\\n        response = requests.get(url)\\n        loader = YoutubeLoader.from_youtube_url(url, add_video_info=True, language=[language])\\n        result = loader.load()\\n        self.repr_value = str(result)\\n        return result\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"dependencies\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"dependencies\",\"display_name\":\"dependencies\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":false},\"language\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"en\",\"password\":false,\"name\":\"language\",\"display_name\":\"language\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLM\",\"list\":false},\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"YouTube transcripts refer to the written text versions of the spoken content in a video uploaded to the YouTube platform.\",\"base_classes\":[\"Document\"],\"display_name\":\"YouTube Transcript\",\"custom_fields\":{\"dependencies\":null,\"language\":null,\"llm\":null,\"url\":null},\"output_types\":[\"Document\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-h0NSI\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":714.9531293402755,\"y\":0.4994374160582993}},{\"width\":384,\"height\":629,\"id\":\"ChatOpenAI-q61Y2\",\"type\":\"genericNode\",\"position\":{\"x\":18,\"y\":625.5521045590924},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-3.5-turbo-16k\",\"password\":false,\"options\":[\"gpt-3.5-turbo-0613\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k-0613\",\"gpt-3.5-turbo-16k\",\"gpt-4-0613\",\"gpt-4-32k-0613\",\"gpt-4\",\"gpt-4-32k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-q61Y2\"},\"selected\":false,\"positionAbsolute\":{\"x\":18,\"y\":625.5521045590924},\"dragging\":false},{\"width\":384,\"height\":539,\"id\":\"Chroma-gVhy7\",\"type\":\"genericNode\",\"position\":{\"x\":2110.365967257855,\"y\":805.0149521868784},\"data\":{\"type\":\"Chroma\",\"node\":{\"template\":{\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"chromadb.Client\",\"list\":false},\"client_settings\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client_settings\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"chromadb.config.Setting\",\"list\":true},\"documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":true},\"embedding\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Embeddings\",\"list\":false},\"chroma_server_cors_allow_origins\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_cors_allow_origins\",\"display_name\":\"Chroma Server CORS Allow Origins\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"chroma_server_grpc_port\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_grpc_port\",\"display_name\":\"Chroma Server GRPC Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_host\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_host\",\"display_name\":\"Chroma Server Host\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_http_port\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_http_port\",\"display_name\":\"Chroma Server HTTP Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_ssl_enabled\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"chroma_server_ssl_enabled\",\"display_name\":\"Chroma Server SSL Enabled\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"collection_metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"collection_metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"collection_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"langchain\",\"password\":false,\"name\":\"collection_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"ids\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"ids\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"metadatas\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":true},\"persist\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"persist\",\"display_name\":\"Persist\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"persist_directory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"persist_directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"search_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"{}\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"NestedDict\",\"list\":false},\"_type\":\"Chroma\"},\"description\":\"Create a Chroma vectorstore from a raw documents.\",\"base_classes\":[\"VectorStore\",\"Chroma\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"Chroma\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/chroma\",\"beta\":false,\"error\":null},\"id\":\"Chroma-gVhy7\"},\"selected\":false,\"positionAbsolute\":{\"x\":2110.365967257855,\"y\":805.0149521868784},\"dragging\":false},{\"width\":384,\"height\":501,\"id\":\"RecursiveCharacterTextSplitter-1eaOX\",\"type\":\"genericNode\",\"position\":{\"x\":1409.2872773444874,\"y\":19.45456141103284},\"data\":{\"type\":\"RecursiveCharacterTextSplitter\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.schema import Document\\nfrom langflow.utils.util import build_loader_repr_from_documents\\n\\n\\nclass RecursiveCharacterTextSplitterComponent(CustomComponent):\\n    display_name: str = \\\"Recursive Character Text Splitter\\\"\\n    description: str = \\\"Split text into chunks of a specified length.\\\"\\n    documentation: str = \\\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"documents\\\": {\\n                \\\"display_name\\\": \\\"Documents\\\",\\n                \\\"info\\\": \\\"The documents to split.\\\",\\n            },\\n            \\\"separators\\\": {\\n                \\\"display_name\\\": \\\"Separators\\\",\\n                \\\"info\\\": 'The characters to split on.\\\\nIf left empty defaults to [\\\"\\\\\\\\n\\\\\\\\n\\\", \\\"\\\\\\\\n\\\", \\\" \\\", \\\"\\\"].',\\n                \\\"is_list\\\": True,\\n            },\\n            \\\"chunk_size\\\": {\\n                \\\"display_name\\\": \\\"Chunk Size\\\",\\n                \\\"info\\\": \\\"The maximum length of each chunk.\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 1000,\\n            },\\n            \\\"chunk_overlap\\\": {\\n                \\\"display_name\\\": \\\"Chunk Overlap\\\",\\n                \\\"info\\\": \\\"The amount of overlap between chunks.\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 200,\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        documents: list[Document],\\n        separators: Optional[list[str]] = None,\\n        chunk_size: Optional[int] = 1000,\\n        chunk_overlap: Optional[int] = 200,\\n    ) -> list[Document]:\\n        \\\"\\\"\\\"\\n        Split text into chunks of a specified length.\\n\\n        Args:\\n            separators (list[str]): The characters to split on.\\n            chunk_size (int): The maximum length of each chunk.\\n            chunk_overlap (int): The amount of overlap between chunks.\\n            length_function (function): The function to use to calculate the length of the text.\\n\\n        Returns:\\n            list[str]: The chunks of text.\\n        \\\"\\\"\\\"\\n        from langchain.text_splitter import RecursiveCharacterTextSplitter\\n\\n        if separators == \\\"\\\":\\n            separators = None\\n        elif separators:\\n            # check if the separators list has escaped characters\\n            # if there are escaped characters, unescape them\\n            separators = [x.encode().decode(\\\"unicode-escape\\\") for x in separators]\\n\\n        # Make sure chunk_size and chunk_overlap are ints\\n        if isinstance(chunk_size, str):\\n            chunk_size = int(chunk_size)\\n        if isinstance(chunk_overlap, str):\\n            chunk_overlap = int(chunk_overlap)\\n        splitter = RecursiveCharacterTextSplitter(\\n            separators=separators,\\n            chunk_size=chunk_size,\\n            chunk_overlap=chunk_overlap,\\n        )\\n\\n        docs = splitter.split_documents(documents)\\n        self.repr_value = build_loader_repr_from_documents(docs)\\n        return docs\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"chunk_overlap\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"50\",\"password\":false,\"name\":\"chunk_overlap\",\"display_name\":\"Chunk Overlap\",\"advanced\":false,\"dynamic\":false,\"info\":\"The amount of overlap between chunks.\",\"type\":\"int\",\"list\":false},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"400\",\"password\":false,\"name\":\"chunk_size\",\"display_name\":\"Chunk Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"The maximum length of each chunk.\",\"type\":\"int\",\"list\":false},\"documents\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"The documents to split.\",\"type\":\"Document\",\"list\":true},\"separators\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"separators\",\"display_name\":\"Separators\",\"advanced\":false,\"dynamic\":false,\"info\":\"The characters to split on.\\nIf left empty defaults to [\\\"\\\\n\\\\n\\\", \\\"\\\\n\\\", \\\" \\\", \\\"\\\"].\",\"type\":\"str\",\"list\":true,\"value\":[\" \"]}},\"description\":\"Split text into chunks of a specified length.\",\"base_classes\":[\"Document\"],\"display_name\":\"Recursive Character Text Splitter\",\"custom_fields\":{\"chunk_overlap\":null,\"chunk_size\":null,\"documents\":null,\"separators\":null},\"output_types\":[\"RecursiveCharacterTextSplitter\"],\"documentation\":\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\",\"beta\":true,\"error\":null},\"id\":\"RecursiveCharacterTextSplitter-1eaOX\"},\"selected\":false,\"positionAbsolute\":{\"x\":1409.2872773444874,\"y\":19.45456141103284},\"dragging\":false},{\"width\":384,\"height\":367,\"id\":\"OpenAIEmbeddings-cduOO\",\"type\":\"genericNode\",\"position\":{\"x\":1405.1176670984544,\"y\":1029.459061269321},\"data\":{\"type\":\"OpenAIEmbeddings\",\"node\":{\"template\":{\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Literal'all'\",\"list\":true},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Literal'all'\",\"list\":true},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1000,\"password\":false,\"name\":\"chunk_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"deployment\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"embedding_ctx_length\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":8191,\"password\":false,\"name\":\"embedding_ctx_length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"{'Authorization': 'Bearer <token>'}\",\"password\":false,\"name\":\"headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_type\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_version\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"show_progress_bar\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"show_progress_bar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"skip_empty\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"skip_empty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"_type\":\"OpenAIEmbeddings\"},\"description\":\"OpenAI embedding models.\",\"base_classes\":[\"Embeddings\",\"OpenAIEmbeddings\"],\"display_name\":\"OpenAIEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAIEmbeddings-cduOO\"},\"selected\":false,\"positionAbsolute\":{\"x\":1405.1176670984544,\"y\":1029.459061269321}},{\"width\":384,\"height\":339,\"id\":\"RetrievalQA-4PmTB\",\"type\":\"genericNode\",\"position\":{\"x\":2711.7786966415715,\"y\":709.4450828605463},\"data\":{\"type\":\"RetrievalQA\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"combine_documents_chain\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"combine_documents_chain\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseCombineDocumentsChain\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"retriever\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseRetriever\",\"list\":false},\"input_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"query\",\"password\":false,\"name\":\"input_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"output_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"result\",\"password\":false,\"name\":\"output_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"return_source_documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":false,\"name\":\"return_source_documents\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"RetrievalQA\"},\"description\":\"Chain for question-answering against an index.\",\"base_classes\":[\"RetrievalQA\",\"Chain\",\"BaseRetrievalQA\",\"function\"],\"display_name\":\"RetrievalQA\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/chains/popular/vector_db_qa\",\"beta\":false,\"error\":null},\"id\":\"RetrievalQA-4PmTB\"},\"selected\":false,\"positionAbsolute\":{\"x\":2711.7786966415715,\"y\":709.4450828605463}},{\"width\":384,\"height\":333,\"id\":\"CombineDocsChain-yk0JF\",\"type\":\"genericNode\",\"position\":{\"x\":2125.6202053356537,\"y\":199.07708924409633},\"data\":{\"type\":\"CombineDocsChain\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"chain_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"stuff\",\"password\":false,\"options\":[\"stuff\",\"map_reduce\",\"map_rerank\",\"refine\"],\"name\":\"chain_type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"_type\":\"load_qa_chain\"},\"description\":\"Load question answering chain.\",\"base_classes\":[\"BaseCombineDocumentsChain\",\"function\"],\"display_name\":\"CombineDocsChain\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"id\":\"CombineDocsChain-yk0JF\"},\"selected\":false,\"positionAbsolute\":{\"x\":2125.6202053356537,\"y\":199.07708924409633},\"dragging\":false},{\"width\":384,\"height\":417,\"id\":\"CustomComponent-y6Wg0\",\"type\":\"genericNode\",\"position\":{\"x\":39.400034102832365,\"y\":-499.03551482195707},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nimport subprocess\\n\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain.prompts import PromptTemplate\\nfrom langchain.schema import Document\\n\\nfrom typing import List\\n\\n\\nclass YourComponent(CustomComponent):\\n    display_name: str = \\\"PIP Install\\\"\\n    description: str = \\\"Create any custom component you want!\\\"\\n\\n    def build(self, libs: List[str]) -> Document:\\n        def install_package(package_name):\\n            subprocess.check_call([\\\"pip\\\", \\\"install\\\", package_name])\\n        for lib in libs:\\n            install_package(lib)\\n        return \\\"\\\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"libs\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"libs\",\"display_name\":\"libs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"requests\",\"pytube\"]}},\"description\":\"Create any custom component you want!\",\"base_classes\":[\"Document\"],\"display_name\":\"PIP Install\",\"custom_fields\":{\"libs\":null},\"output_types\":[],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-y6Wg0\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":39.400034102832365,\"y\":-499.03551482195707}}],\"edges\":[{\"source\":\"ChatOpenAI-q61Y2\",\"sourceHandle\":\"{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}\",\"target\":\"CustomComponent-h0NSI\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œBaseLLMœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-q61Y2{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}-CustomComponent-h0NSI{œfieldNameœ:œllmœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œBaseLLMœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-q61Y2\"},\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"CustomComponent-h0NSI\",\"inputTypes\":null,\"type\":\"BaseLLM\"}}},{\"source\":\"CustomComponent-y6Wg0\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-y6Wg0œ}\",\"target\":\"CustomComponent-h0NSI\",\"targetHandle\":\"{œfieldNameœ:œdependenciesœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-y6Wg0{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-y6Wg0œ}-CustomComponent-h0NSI{œfieldNameœ:œdependenciesœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-y6Wg0\"},\"targetHandle\":{\"fieldName\":\"dependencies\",\"id\":\"CustomComponent-h0NSI\",\"inputTypes\":null,\"type\":\"Document\"}}},{\"source\":\"CustomComponent-h0NSI\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-h0NSIœ}\",\"target\":\"RecursiveCharacterTextSplitter-1eaOX\",\"targetHandle\":\"{œfieldNameœ:œdocumentsœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-h0NSI{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-h0NSIœ}-RecursiveCharacterTextSplitter-1eaOX{œfieldNameœ:œdocumentsœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-h0NSI\"},\"targetHandle\":{\"fieldName\":\"documents\",\"id\":\"RecursiveCharacterTextSplitter-1eaOX\",\"inputTypes\":null,\"type\":\"Document\"}},\"selected\":false},{\"source\":\"OpenAIEmbeddings-cduOO\",\"sourceHandle\":\"{œbaseClassesœ:[œEmbeddingsœ,œOpenAIEmbeddingsœ],œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-cduOOœ}\",\"target\":\"Chroma-gVhy7\",\"targetHandle\":\"{œfieldNameœ:œembeddingœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œEmbeddingsœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-OpenAIEmbeddings-cduOO{œbaseClassesœ:[œEmbeddingsœ,œOpenAIEmbeddingsœ],œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-cduOOœ}-Chroma-gVhy7{œfieldNameœ:œembeddingœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œEmbeddingsœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Embeddings\",\"OpenAIEmbeddings\"],\"dataType\":\"OpenAIEmbeddings\",\"id\":\"OpenAIEmbeddings-cduOO\"},\"targetHandle\":{\"fieldName\":\"embedding\",\"id\":\"Chroma-gVhy7\",\"inputTypes\":null,\"type\":\"Embeddings\"}}},{\"source\":\"RecursiveCharacterTextSplitter-1eaOX\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œRecursiveCharacterTextSplitterœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ}\",\"target\":\"Chroma-gVhy7\",\"targetHandle\":\"{œfieldNameœ:œdocumentsœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-RecursiveCharacterTextSplitter-1eaOX{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œRecursiveCharacterTextSplitterœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ}-Chroma-gVhy7{œfieldNameœ:œdocumentsœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"RecursiveCharacterTextSplitter\",\"id\":\"RecursiveCharacterTextSplitter-1eaOX\"},\"targetHandle\":{\"fieldName\":\"documents\",\"id\":\"Chroma-gVhy7\",\"inputTypes\":null,\"type\":\"Document\"}}},{\"source\":\"ChatOpenAI-q61Y2\",\"sourceHandle\":\"{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}\",\"target\":\"CombineDocsChain-yk0JF\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œCombineDocsChain-yk0JFœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-q61Y2{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}-CombineDocsChain-yk0JF{œfieldNameœ:œllmœ,œidœ:œCombineDocsChain-yk0JFœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-q61Y2\"},\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"CombineDocsChain-yk0JF\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"}}},{\"source\":\"CombineDocsChain-yk0JF\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseCombineDocumentsChainœ,œfunctionœ],œdataTypeœ:œCombineDocsChainœ,œidœ:œCombineDocsChain-yk0JFœ}\",\"target\":\"RetrievalQA-4PmTB\",\"targetHandle\":\"{œfieldNameœ:œcombine_documents_chainœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseCombineDocumentsChainœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CombineDocsChain-yk0JF{œbaseClassesœ:[œBaseCombineDocumentsChainœ,œfunctionœ],œdataTypeœ:œCombineDocsChainœ,œidœ:œCombineDocsChain-yk0JFœ}-RetrievalQA-4PmTB{œfieldNameœ:œcombine_documents_chainœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseCombineDocumentsChainœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"BaseCombineDocumentsChain\",\"function\"],\"dataType\":\"CombineDocsChain\",\"id\":\"CombineDocsChain-yk0JF\"},\"targetHandle\":{\"fieldName\":\"combine_documents_chain\",\"id\":\"RetrievalQA-4PmTB\",\"inputTypes\":null,\"type\":\"BaseCombineDocumentsChain\"}}},{\"source\":\"Chroma-gVhy7\",\"sourceHandle\":\"{œbaseClassesœ:[œVectorStoreœ,œChromaœ,œBaseRetrieverœ,œVectorStoreRetrieverœ],œdataTypeœ:œChromaœ,œidœ:œChroma-gVhy7œ}\",\"target\":\"RetrievalQA-4PmTB\",\"targetHandle\":\"{œfieldNameœ:œretrieverœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseRetrieverœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-Chroma-gVhy7{œbaseClassesœ:[œVectorStoreœ,œChromaœ,œBaseRetrieverœ,œVectorStoreRetrieverœ],œdataTypeœ:œChromaœ,œidœ:œChroma-gVhy7œ}-RetrievalQA-4PmTB{œfieldNameœ:œretrieverœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseRetrieverœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"VectorStore\",\"Chroma\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"dataType\":\"Chroma\",\"id\":\"Chroma-gVhy7\"},\"targetHandle\":{\"fieldName\":\"retriever\",\"id\":\"RetrievalQA-4PmTB\",\"inputTypes\":null,\"type\":\"BaseRetriever\"}}}],\"viewport\":{\"x\":189.54413265004274,\"y\":259.89949657174975,\"zoom\":0.291027508374689}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:59:08.830269\",\"folder\":null,\"id\":\"bc7eb94b-6fc6-49cb-9b19-35347ba51afa\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Web Scraper - Content & Links\",\"description\":\"Fetch and parse text and links from a given URL.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":338,\"id\":\"LLMChain-H7PBy\",\"type\":\"genericNode\",\"position\":{\"x\":1682.494010974207,\"y\":275.5701585623092},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-H7PBy\"},\"selected\":false,\"positionAbsolute\":{\"x\":1682.494010974207,\"y\":275.5701585623092},\"dragging\":false},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-VSAdc\",\"type\":\"genericNode\",\"position\":{\"x\":1002.4263147022411,\"y\":-198.2305006886859},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"0.1\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-VSAdc\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":1002.4263147022411,\"y\":-198.2305006886859}},{\"width\":384,\"height\":374,\"data\":{\"id\":\"GroupNode-WXPMk\",\"type\":\"PromptTemplate\",\"node\":{\"output_types\":[],\"display_name\":\"Web Scraper\",\"documentation\":\"\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"description\":\"Fetch and parse text and links from a given URL.\",\"template\":{\"code_CustomComponent-f6nOg\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"code\"},\"display_name\":\"Code\"},\"ignore_links_CustomComponent-f6nOg\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"ignore_links\"}},\"code_CustomComponent-FGzJJ\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-FGzJJ\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-0XtUN\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-0XtUN\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-ODIcp\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-ODIcp\",\"field\":\"code\"},\"display_name\":\"Code\"},\"output_parser_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"output_parser\"},\"display_name\":\"Output Parser\"},\"input_types_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_types\"},\"display_name\":\"Input Types\"},\"input_variables_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"],\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_variables\"},\"display_name\":\"Input Variables\"},\"partial_variables_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"partial_variables\"},\"display_name\":\"Partial Variables\"},\"template_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\",\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template\"},\"display_name\":\"Template\"},\"template_format_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template_format\"},\"display_name\":\"Template Format\"},\"validate_template_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"validate_template\"},\"display_name\":\"Validate Template\"},\"query_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"give me links\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"query\"}},\"code_CustomComponent-OACE0\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"code\"},\"display_name\":\"Code\"},\"url_CustomComponent-OACE0\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"url\"},\"value\":\"https://paperswithcode.com/\"},\"code_CustomComponent-whsQ5\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n    display_name: str = \\\"List to Bullets\\\"\\n    description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n    def build(self, items: list) -> str:\\n        markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n        return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-whsQ5\",\"field\":\"code\"},\"display_name\":\"Code\"}},\"flow\":{\"data\":{\"nodes\":[{\"width\":384,\"height\":405,\"id\":\"CustomComponent-f6nOg\",\"type\":\"genericNode\",\"position\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-f6nOg\"},\"selected\":true,\"positionAbsolute\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"dragging\":false},{\"width\":384,\"height\":375,\"id\":\"CustomComponent-FGzJJ\",\"type\":\"genericNode\",\"position\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-FGzJJ\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-0XtUN\",\"type\":\"genericNode\",\"position\":{\"x\":214.00059169497604,\"y\":177.27071061129823},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse HTML\",\"custom_fields\":{\"html_content\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-0XtUN\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":214.00059169497604,\"y\":177.27071061129823}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-ODIcp\",\"type\":\"genericNode\",\"position\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract Hyperlinks\",\"custom_fields\":{\"soup\":null},\"output_types\":[\"list\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-ODIcp\"},\"selected\":true,\"positionAbsolute\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"dragging\":false},{\"width\":384,\"height\":657,\"id\":\"PromptTemplate-H9Udy\",\"type\":\"genericNode\",\"position\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_markdown\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_markdown\",\"display_name\":\"html_markdown\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_links\",\"display_name\":\"html_links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-H9Udy\"},\"selected\":true,\"positionAbsolute\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"dragging\":false},{\"width\":384,\"height\":347,\"id\":\"CustomComponent-OACE0\",\"type\":\"genericNode\",\"position\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":null,\"base_classes\":[\"str\"],\"display_name\":\"URL Input\",\"custom_fields\":{\"url\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-OACE0\"},\"selected\":true,\"positionAbsolute\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"dragging\":false},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-whsQ5\",\"type\":\"genericNode\",\"position\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n    display_name: str = \\\"List to Bullets\\\"\\n    description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n    def build(self, items: list) -> str:\\n        markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n        return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"items\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"items\",\"display_name\":\"items\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"list\",\"list\":true}},\"description\":\"Converts a Python list into Markdown bullet points.\",\"base_classes\":[\"str\"],\"display_name\":\"List to Bullets\",\"custom_fields\":{\"items\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-whsQ5\"},\"selected\":true,\"positionAbsolute\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"dragging\":false}],\"edges\":[{\"source\":\"CustomComponent-FGzJJ\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}\",\"target\":\"CustomComponent-f6nOg\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-f6nOgœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-f6nOg\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-FGzJJ\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-FGzJJ{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}-CustomComponent-f6nOg{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-f6nOgœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-FGzJJ\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}\",\"target\":\"CustomComponent-0XtUN\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-0XtUNœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-0XtUN\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-FGzJJ\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-FGzJJ{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}-CustomComponent-0XtUN{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-0XtUNœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-0XtUN\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-0XtUNœ}\",\"target\":\"CustomComponent-ODIcp\",\"targetHandle\":\"{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-ODIcpœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"soup\",\"id\":\"CustomComponent-ODIcp\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-0XtUN\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-0XtUN{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-0XtUNœ}-CustomComponent-ODIcp{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-ODIcpœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-OACE0\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}\",\"target\":\"CustomComponent-FGzJJ\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œCustomComponent-FGzJJœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"CustomComponent-FGzJJ\",\"inputTypes\":[\"Data\",\"str\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-OACE0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-OACE0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}-CustomComponent-FGzJJ{œfieldNameœ:œurlœ,œidœ:œCustomComponent-FGzJJœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-OACE0\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-OACE0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-OACE0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}-PromptTemplate-H9Udy{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-ODIcp\",\"sourceHandle\":\"{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ODIcpœ}\",\"target\":\"CustomComponent-whsQ5\",\"targetHandle\":\"{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-whsQ5œ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"items\",\"id\":\"CustomComponent-whsQ5\",\"inputTypes\":null,\"type\":\"list\"},\"sourceHandle\":{\"baseClasses\":[\"list\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-ODIcp\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-ODIcp{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ODIcpœ}-CustomComponent-whsQ5{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-whsQ5œ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"selected\":true},{\"source\":\"CustomComponent-whsQ5\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-whsQ5œ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_links\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-whsQ5\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-whsQ5{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-whsQ5œ}-PromptTemplate-H9Udy{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-f6nOg\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-f6nOgœ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_markdown\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-f6nOg\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-f6nOg{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-f6nOgœ}-PromptTemplate-H9Udy{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true}],\"viewport\":{\"x\":343.0346131188585,\"y\":341.89843948642147,\"zoom\":0.24148408223121196}},\"is_component\":false,\"name\":\"Fluffy Ptolemy\",\"description\":\"\",\"id\":\"W5oNW\"}}},\"id\":\"GroupNode-WXPMk\",\"position\":{\"x\":873.0737834322758,\"y\":598.8401015776466},\"type\":\"genericNode\",\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":873.0737834322758,\"y\":598.8401015776466}}],\"edges\":[{\"source\":\"ChatOpenAI-VSAdc\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VSAdcœ}\",\"target\":\"LLMChain-H7PBy\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-H7PBy\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-VSAdc\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-VSAdc{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VSAdcœ}-LLMChain-H7PBy{œfieldNameœ:œllmœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\"},{\"source\":\"GroupNode-WXPMk\",\"sourceHandle\":\"{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œGroupNode-WXPMkœ}\",\"target\":\"LLMChain-H7PBy\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-H7PBy\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"GroupNode-WXPMk\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-GroupNode-WXPMk{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œGroupNode-WXPMkœ}-LLMChain-H7PBy{œfieldNameœ:œpromptœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":-348.6161822813733,\"y\":121.40545291211492,\"zoom\":0.6801854262029781}},\"is_component\":false,\"updated_at\":\"2023-12-04T23:22:27.784647\",\"folder\":null,\"id\":\"efc3bf27-3cf1-4561-9a83-3df347572440\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sad Joliot\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":338,\"id\":\"LLMChain-RQsU1\",\"type\":\"genericNode\",\"position\":{\"x\":514.4440482813261,\"y\":528.164086188516},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-RQsU1\"},\"selected\":false,\"positionAbsolute\":{\"x\":514.4440482813261,\"y\":528.164086188516}},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-NTTcv\",\"type\":\"genericNode\",\"position\":{\"x\":-221.33853765781578,\"y\":-35.48749923706055},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"0.1\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-NTTcv\"},\"selected\":false,\"positionAbsolute\":{\"x\":-221.33853765781578,\"y\":-35.48749923706055}},{\"width\":384,\"height\":374,\"id\":\"PromptTemplate-VELMV\",\"type\":\"genericNode\",\"position\":{\"x\":-222,\"y\":682.560723386973},\"data\":{\"id\":\"PromptTemplate-VELMV\",\"type\":\"PromptTemplate\",\"node\":{\"output_types\":[],\"display_name\":\"Web Scraper\",\"documentation\":\"\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"description\":\"Fetch and parse text and links from a given URL.\",\"template\":{\"code_CustomComponent-f6nOg\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"code\"},\"display_name\":\"Code\"},\"ignore_links_CustomComponent-f6nOg\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"ignore_links\"}},\"code_CustomComponent-FGzJJ\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-FGzJJ\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-0XtUN\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-0XtUN\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-ODIcp\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-ODIcp\",\"field\":\"code\"},\"display_name\":\"Code\"},\"output_parser_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"output_parser\"},\"display_name\":\"Output Parser\"},\"input_types_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_types\"},\"display_name\":\"Input Types\"},\"input_variables_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"],\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_variables\"},\"display_name\":\"Input Variables\"},\"partial_variables_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"partial_variables\"},\"display_name\":\"Partial Variables\"},\"template_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\",\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template\"},\"display_name\":\"Template\"},\"template_format_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template_format\"},\"display_name\":\"Template Format\"},\"validate_template_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"validate_template\"},\"display_name\":\"Validate Template\"},\"query_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"query\"}},\"code_CustomComponent-OACE0\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"code\"},\"display_name\":\"Code\"},\"url_CustomComponent-OACE0\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"url\"},\"value\":\"https://paperswithcode.com/\"},\"code_CustomComponent-whsQ5\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n    display_name: str = \\\"List to Bullets\\\"\\n    description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n    def build(self, items: list) -> str:\\n        markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n        return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-whsQ5\",\"field\":\"code\"},\"display_name\":\"Code\"}},\"flow\":{\"data\":{\"nodes\":[{\"width\":384,\"height\":405,\"id\":\"CustomComponent-f6nOg\",\"type\":\"genericNode\",\"position\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-f6nOg\"},\"selected\":true,\"positionAbsolute\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"dragging\":false},{\"width\":384,\"height\":375,\"id\":\"CustomComponent-FGzJJ\",\"type\":\"genericNode\",\"position\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-FGzJJ\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-0XtUN\",\"type\":\"genericNode\",\"position\":{\"x\":214.00059169497604,\"y\":177.27071061129823},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse HTML\",\"custom_fields\":{\"html_content\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-0XtUN\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":214.00059169497604,\"y\":177.27071061129823}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-ODIcp\",\"type\":\"genericNode\",\"position\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract Hyperlinks\",\"custom_fields\":{\"soup\":null},\"output_types\":[\"list\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-ODIcp\"},\"selected\":true,\"positionAbsolute\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"dragging\":false},{\"width\":384,\"height\":657,\"id\":\"PromptTemplate-H9Udy\",\"type\":\"genericNode\",\"position\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_markdown\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_markdown\",\"display_name\":\"html_markdown\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_links\",\"display_name\":\"html_links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-H9Udy\"},\"selected\":true,\"positionAbsolute\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"dragging\":false},{\"width\":384,\"height\":347,\"id\":\"CustomComponent-OACE0\",\"type\":\"genericNode\",\"position\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":null,\"base_classes\":[\"str\"],\"display_name\":\"URL Input\",\"custom_fields\":{\"url\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-OACE0\"},\"selected\":true,\"positionAbsolute\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"dragging\":false},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-whsQ5\",\"type\":\"genericNode\",\"position\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n    display_name: str = \\\"List to Bullets\\\"\\n    description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n    def build(self, items: list) -> str:\\n        markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n        return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"items\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"items\",\"display_name\":\"items\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"list\",\"list\":true}},\"description\":\"Converts a Python list into Markdown bullet points.\",\"base_classes\":[\"str\"],\"display_name\":\"List to Bullets\",\"custom_fields\":{\"items\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-whsQ5\"},\"selected\":true,\"positionAbsolute\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"dragging\":false}],\"edges\":[{\"source\":\"CustomComponent-FGzJJ\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}\",\"target\":\"CustomComponent-f6nOg\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-f6nOgœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-f6nOg\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-FGzJJ\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-FGzJJ{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}-CustomComponent-f6nOg{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-f6nOgœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-FGzJJ\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}\",\"target\":\"CustomComponent-0XtUN\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-0XtUNœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-0XtUN\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-FGzJJ\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-FGzJJ{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}-CustomComponent-0XtUN{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-0XtUNœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-0XtUN\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-0XtUNœ}\",\"target\":\"CustomComponent-ODIcp\",\"targetHandle\":\"{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-ODIcpœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"soup\",\"id\":\"CustomComponent-ODIcp\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-0XtUN\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-0XtUN{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-0XtUNœ}-CustomComponent-ODIcp{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-ODIcpœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-OACE0\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}\",\"target\":\"CustomComponent-FGzJJ\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œCustomComponent-FGzJJœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"CustomComponent-FGzJJ\",\"inputTypes\":[\"Data\",\"str\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-OACE0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-OACE0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}-CustomComponent-FGzJJ{œfieldNameœ:œurlœ,œidœ:œCustomComponent-FGzJJœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-OACE0\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-OACE0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-OACE0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}-PromptTemplate-H9Udy{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-ODIcp\",\"sourceHandle\":\"{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ODIcpœ}\",\"target\":\"CustomComponent-whsQ5\",\"targetHandle\":\"{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-whsQ5œ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"items\",\"id\":\"CustomComponent-whsQ5\",\"inputTypes\":null,\"type\":\"list\"},\"sourceHandle\":{\"baseClasses\":[\"list\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-ODIcp\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-ODIcp{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ODIcpœ}-CustomComponent-whsQ5{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-whsQ5œ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"selected\":true},{\"source\":\"CustomComponent-whsQ5\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-whsQ5œ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_links\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-whsQ5\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-whsQ5{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-whsQ5œ}-PromptTemplate-H9Udy{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-f6nOg\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-f6nOgœ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_markdown\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-f6nOg\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-f6nOg{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-f6nOgœ}-PromptTemplate-H9Udy{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true}],\"viewport\":{\"x\":343.0346131188585,\"y\":341.89843948642147,\"zoom\":0.24148408223121196}},\"is_component\":false,\"name\":\"Fluffy Ptolemy\",\"description\":\"\",\"id\":\"W5oNW\"}}},\"selected\":false,\"positionAbsolute\":{\"x\":-222,\"y\":682.560723386973}}],\"edges\":[{\"source\":\"ChatOpenAI-NTTcv\",\"target\":\"LLMChain-RQsU1\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-NTTcvœ}\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-RQsU1œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"id\":\"reactflow__edge-ChatOpenAI-NTTcv{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-NTTcvœ}-LLMChain-RQsU1{œfieldNameœ:œllmœ,œidœ:œLLMChain-RQsU1œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-RQsU1\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-NTTcv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 \",\"animated\":false,\"selected\":false},{\"source\":\"PromptTemplate-VELMV\",\"target\":\"LLMChain-RQsU1\",\"sourceHandle\":\"{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-VELMVœ}\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-RQsU1œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"id\":\"reactflow__edge-PromptTemplate-VELMV{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-VELMVœ}-LLMChain-RQsU1{œfieldNameœ:œpromptœ,œidœ:œLLMChain-RQsU1œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-RQsU1\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-VELMV\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 \",\"animated\":false,\"selected\":false}],\"viewport\":{\"x\":298.29888454238517,\"y\":96.95765543775741,\"zoom\":0.5140569133280332}},\"is_component\":false,\"updated_at\":\"2023-12-04T23:23:08.584967\",\"folder\":null,\"id\":\"5df79f1d-f592-4d59-8c0f-9f3c2f6465b1\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Silly Pasteur\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":338,\"id\":\"LLMChain-cHel8\",\"type\":\"genericNode\",\"position\":{\"x\":547.3876889720291,\"y\":299.2057833881307},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-cHel8\"},\"selected\":false,\"positionAbsolute\":{\"x\":547.3876889720291,\"y\":299.2057833881307},\"dragging\":false},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-LA6y0\",\"type\":\"genericNode\",\"position\":{\"x\":-272.94405331278074,\"y\":-603.148171441675},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"0.1\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-LA6y0\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":-272.94405331278074,\"y\":-603.148171441675}},{\"width\":384,\"height\":404,\"id\":\"CustomComponent-ZNoRM\",\"type\":\"genericNode\",\"position\":{\"x\":-103.65741264289085,\"y\":134.62332404764658},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-ZNoRM\"},\"selected\":false,\"positionAbsolute\":{\"x\":-103.65741264289085,\"y\":134.62332404764658},\"dragging\":false},{\"width\":384,\"height\":374,\"id\":\"CustomComponent-zNSTv\",\"type\":\"genericNode\",\"position\":{\"x\":-1233.3963469933499,\"y\":280.77850809220325},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-zNSTv\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":-1233.3963469933499,\"y\":280.77850809220325}},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-Ihm2o\",\"type\":\"genericNode\",\"position\":{\"x\":-554.9404152016002,\"y\":683.6763775860567},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse HTML\",\"custom_fields\":{\"html_content\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-Ihm2o\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":-554.9404152016002,\"y\":683.6763775860567}},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-6ST9l\",\"type\":\"genericNode\",\"position\":{\"x\":76.10921262566495,\"y\":872.9491114949525},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract Hyperlinks\",\"custom_fields\":{\"soup\":null},\"output_types\":[\"list\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-6ST9l\"},\"selected\":false,\"positionAbsolute\":{\"x\":76.10921262566495,\"y\":872.9491114949525},\"dragging\":false},{\"width\":384,\"height\":654,\"id\":\"PromptTemplate-l35W1\",\"type\":\"genericNode\",\"position\":{\"x\":1461.4487148097069,\"y\":1090.896175351284},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"display_name\":\"output_parser\"},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"display_name\":\"input_types\"},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"],\"display_name\":\"input_variables\"},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"display_name\":\"partial_variables\"},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\",\"display_name\":\"template\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false,\"display_name\":\"template_format\"},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"display_name\":\"validate_template\"},\"_type\":\"PromptTemplate\",\"url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_markdown\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_markdown\",\"display_name\":\"html_markdown\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_links\",\"display_name\":\"html_links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-l35W1\"},\"selected\":false,\"positionAbsolute\":{\"x\":1461.4487148097069,\"y\":1090.896175351284},\"dragging\":false},{\"width\":384,\"height\":346,\"id\":\"CustomComponent-iTLf4\",\"type\":\"genericNode\",\"position\":{\"x\":-1924.8908014123388,\"y\":704.5414990162741},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"https://paperswithcode.com/\"}},\"description\":null,\"base_classes\":[\"str\"],\"display_name\":\"URL Input\",\"custom_fields\":{\"url\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-iTLf4\"},\"selected\":false,\"positionAbsolute\":{\"x\":-1924.8908014123388,\"y\":704.5414990162741},\"dragging\":false},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-jWLUz\",\"type\":\"genericNode\",\"position\":{\"x\":627.6164007410564,\"y\":1201.2365384322047},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n    display_name: str = \\\"List to Bullets\\\"\\n    description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n    def build(self, items: list) -> str:\\n        markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n        return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"items\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"items\",\"display_name\":\"items\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"list\",\"list\":true}},\"description\":\"Converts a Python list into Markdown bullet points.\",\"base_classes\":[\"str\"],\"display_name\":\"List to Bullets\",\"custom_fields\":{\"items\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-jWLUz\"},\"selected\":false,\"positionAbsolute\":{\"x\":627.6164007410564,\"y\":1201.2365384322047},\"dragging\":false}],\"edges\":[{\"source\":\"ChatOpenAI-LA6y0\",\"target\":\"LLMChain-cHel8\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-LA6y0œ}\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-cHel8œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"id\":\"reactflow__edge-ChatOpenAI-LA6y0{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-LA6y0œ}-LLMChain-cHel8{œfieldNameœ:œllmœ,œidœ:œLLMChain-cHel8œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-cHel8\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-LA6y0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"CustomComponent-zNSTv\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-zNSTvœ}\",\"target\":\"CustomComponent-ZNoRM\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-ZNoRMœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-ZNoRM\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-zNSTv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-zNSTv{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-zNSTvœ}-CustomComponent-ZNoRM{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-ZNoRMœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":false},{\"source\":\"CustomComponent-zNSTv\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-zNSTvœ}\",\"target\":\"CustomComponent-Ihm2o\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-Ihm2oœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-Ihm2o\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-zNSTv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-zNSTv{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-zNSTvœ}-CustomComponent-Ihm2o{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-Ihm2oœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":false},{\"source\":\"CustomComponent-Ihm2o\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-Ihm2oœ}\",\"target\":\"CustomComponent-6ST9l\",\"targetHandle\":\"{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-6ST9lœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"soup\",\"id\":\"CustomComponent-6ST9l\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-Ihm2o\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-Ihm2o{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-Ihm2oœ}-CustomComponent-6ST9l{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-6ST9lœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":false},{\"source\":\"CustomComponent-iTLf4\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-iTLf4œ}\",\"target\":\"CustomComponent-zNSTv\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œCustomComponent-zNSTvœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"CustomComponent-zNSTv\",\"inputTypes\":[\"Data\",\"str\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-iTLf4\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-iTLf4{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-iTLf4œ}-CustomComponent-zNSTv{œfieldNameœ:œurlœ,œidœ:œCustomComponent-zNSTvœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"selected\":false},{\"source\":\"CustomComponent-iTLf4\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-iTLf4œ}\",\"target\":\"PromptTemplate-l35W1\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"PromptTemplate-l35W1\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-iTLf4\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-iTLf4{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-iTLf4œ}-PromptTemplate-l35W1{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":false},{\"source\":\"CustomComponent-6ST9l\",\"sourceHandle\":\"{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-6ST9lœ}\",\"target\":\"CustomComponent-jWLUz\",\"targetHandle\":\"{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-jWLUzœ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"items\",\"id\":\"CustomComponent-jWLUz\",\"inputTypes\":null,\"type\":\"list\"},\"sourceHandle\":{\"baseClasses\":[\"list\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-6ST9l\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-6ST9l{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-6ST9lœ}-CustomComponent-jWLUz{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-jWLUzœ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"selected\":false},{\"source\":\"CustomComponent-jWLUz\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-jWLUzœ}\",\"target\":\"PromptTemplate-l35W1\",\"targetHandle\":\"{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_links\",\"id\":\"PromptTemplate-l35W1\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-jWLUz\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-jWLUz{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-jWLUzœ}-PromptTemplate-l35W1{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":false},{\"source\":\"CustomComponent-ZNoRM\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ZNoRMœ}\",\"target\":\"PromptTemplate-l35W1\",\"targetHandle\":\"{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_markdown\",\"id\":\"PromptTemplate-l35W1\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-ZNoRM\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-ZNoRM{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ZNoRMœ}-PromptTemplate-l35W1{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":false},{\"source\":\"PromptTemplate-l35W1\",\"sourceHandle\":\"{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-l35W1œ}\",\"target\":\"LLMChain-cHel8\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-cHel8œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-cHel8\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-l35W1\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-PromptTemplate-mJqEg{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-mJqEgœ}-LLMChain-cHel8{œfieldNameœ:œpromptœ,œidœ:œLLMChain-cHel8œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":206.6159172940935,\"y\":79.94375811155385,\"zoom\":0.5140569133280333}},\"is_component\":false,\"updated_at\":\"2023-12-06T00:23:04.515144\",\"folder\":null,\"id\":\"ecfb377a-7e88-405d-8d66-7560735ce446\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Lovelace\",\"description\":\"Smart Chains, Smarter Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-04T23:43:25.925753\",\"folder\":null,\"id\":\"30e71767-6128-40e4-9a6d-b9197b679971\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Custom Component\",\"description\":\"Create any custom component you want!\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\n\\nclass Component(CustomComponent):\\n    display_name: str = \\\"Custom Component\\\"\\n    description: str = \\\"Create any custom component you want!\\\"\\n    documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n    def build_config(self):\\n        return {\\\"param\\\": {\\\"display_name\\\": \\\"Parameter\\\"}}\\n\\n    def build(self, param: Data) -> Data:\\n        return param\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"param\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"param\",\"display_name\":\"Parameter\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Create any custom component you want!\",\"base_classes\":[\"Data\"],\"display_name\":\"Custom Component\",\"custom_fields\":{\"param\":null},\"output_types\":[\"CustomComponent\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-IxJqc\"},\"id\":\"CustomComponent-IxJqc\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-05T22:08:27.080204\",\"folder\":null,\"id\":\"f3c56abb-96d8-4a09-80d3-f60181661b3c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazing Wilson\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-05T23:49:58.272677\",\"folder\":null,\"id\":\"324499a6-17a6-49de-96b1-b88955ed2c3d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nauseous Kowalevski\",\"description\":\"Create, Curate, Communicate with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:27.084387\",\"folder\":null,\"id\":\"e3168485-d31b-472a-907f-faf833bf7824\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Silly Fermi\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.134463\",\"folder\":null,\"id\":\"d0ecea5d-bcf9-4b8e-88f0-3c243d309336\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Friendly Ardinghelli\",\"description\":\"Smart Chains, Smarter Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.138184\",\"folder\":null,\"id\":\"a406912d-b0e2-4954-bef3-ee80c29eca3c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Easley\",\"description\":\"Bridging Prompts for Brilliance.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.162908\",\"folder\":null,\"id\":\"57b32155-4c6e-4823-ad03-8dd09d8abc62\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Varahamihira\",\"description\":\"Create, Chain, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.135644\",\"folder\":null,\"id\":\"18daa0ff-2e5d-457a-95d7-710affec5c4d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jubilant Joliot\",\"description\":\"Language Architect at Work!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.139496\",\"folder\":null,\"id\":\"9255e938-280e-4ce7-91cd-8622126a7d02\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Adoring Carroll\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.162240\",\"folder\":null,\"id\":\"a7a680b9-30b1-4438-ac24-da597de443aa\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Berserk Herschel\",\"description\":\"Your Hub for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:46:02.593504\",\"folder\":null,\"id\":\"37a439b0-7b1d-45e3-b4fa-5c73669bae3b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Distracted Joliot\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:04.845238\",\"folder\":null,\"id\":\"4d23fd0a-8ad5-46b9-bb99-eed4138e7426\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Happy Babbage\",\"description\":\"Flow into the Future of Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:41.899665\",\"folder\":null,\"id\":\"1c8ad5b9-5524-41fe-a762-52c75126b832\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Adoring Brown\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.702031\",\"folder\":null,\"id\":\"9d4c8e79-4904-4a51-a4bb-146c3d8db10e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Focused Mahavira\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.786331\",\"folder\":null,\"id\":\"4ba370d1-1f8e-4a23-99aa-99e2cd9b7cbf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mad Gates\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.838989\",\"folder\":null,\"id\":\"992c3cd3-1d79-4986-8c04-88a34130fa30\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Serene Mcclintock\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.932723\",\"folder\":null,\"id\":\"a65bfd13-44df-4090-aca0-5057e21e9997\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Berserk Feynman\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.931359\",\"folder\":null,\"id\":\"7a05dac5-c005-411d-9994-19d61e71ce78\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sprightly Perlman\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:43.054687\",\"folder\":null,\"id\":\"6db24541-7211-48e6-a792-1a4a99a0ef90\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jolly Colden\",\"description\":\"Flow into the Future of Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:43.078384\",\"folder\":null,\"id\":\"13ac42e8-9124-4bf4-9ea2-28671ef2d9a4\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Kaku\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:50:33.156776\",\"folder\":null,\"id\":\"79262d75-5c62-4b14-b067-f4297f5c912f\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jovial Khayyam\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:51:13.295375\",\"folder\":null,\"id\":\"3b397e74-d8be-4728-9d6c-05f7c78106a7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Mccarthy\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:51:27.632685\",\"folder\":null,\"id\":\"13f4e1fd-45eb-4271-92fd-0d70a31c61d2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cocky Lalande\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:51:54.628983\",\"folder\":null,\"id\":\"9cfd60d8-9311-47b0-b71b-f488f1940bc7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Romantic Mirzakhani\",\"description\":\"Innovation in Interaction with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:52:52.622698\",\"folder\":null,\"id\":\"0d849403-0f75-455d-b4e4-0d622ee3305a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grinning Brown\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:53:06.056636\",\"folder\":null,\"id\":\"8643ba14-52d6-4d36-9981-5fd37de5dd76\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Kickass Watt\",\"description\":\"Transform Your Business with Smart Dialogues.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:53:23.338727\",\"folder\":null,\"id\":\"818d3066-bf08-4bf9-adcd-739f8abbfa5d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Bose\",\"description\":\"Unravel the Art of Articulation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:53:41.218861\",\"folder\":null,\"id\":\"28eff43e-0ecf-47bf-9851-f1492589978e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Optimistic Jennings\",\"description\":\"Create Powerful Connections, Boost Business Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:55:03.681106\",\"folder\":null,\"id\":\"68f59069-bc2a-464f-a983-4b61e32e01af\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pedantic Mirzakhani\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:55:31.761949\",\"folder\":null,\"id\":\"5d981c0e-81b3-44cc-a5be-8f55b92bfed5\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Peppy Murdock\",\"description\":\"Create Powerful Connections, Boost Business Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:56:45.548598\",\"folder\":null,\"id\":\"e812ad47-47e8-422b-b94c-84fd0263c9c8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Berserk Fermat\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:58:50.234270\",\"folder\":null,\"id\":\"82aaf449-e737-4699-9360-929ab6108dc7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tiny Albattani\",\"description\":\"Your Toolkit for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:59:53.946035\",\"folder\":null,\"id\":\"097cb080-274b-40ca-8dde-7900a949568a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cranky Kirch\",\"description\":\"Sculpting Language with Precision.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:00:51.745350\",\"folder\":null,\"id\":\"837d7b5f-8495-46a9-b00e-ad1b7ebb52f4\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Kowalevski\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:02:53.336102\",\"folder\":null,\"id\":\"3ff079c2-d9f9-4da6-a22a-423fa35670ff\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Radiant Stallman\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:03:28.268357\",\"folder\":null,\"id\":\"c8b204dd-3d57-4bc8-aa13-1d559672e75b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grinning Swirles\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:03:51.194455\",\"folder\":null,\"id\":\"a097f083-5880-4cf7-986b-51898bc68e11\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Dreamy Williams\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:04:36.678251\",\"folder\":null,\"id\":\"d9585f63-ce76-42ce-87bc-8e69601ea5c6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Zany Hawking\",\"description\":\"Flow into the Future of Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:05:13.672479\",\"folder\":null,\"id\":\"612a01d5-8c8d-4cc1-8c54-35626b7f4a6d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazing Kilby\",\"description\":\"Your Toolkit for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:10:37.047955\",\"folder\":null,\"id\":\"2d05a598-3cdf-452a-bd5d-b0e569e562e3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Insane Cori\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:18:12.426578\",\"folder\":null,\"id\":\"d1769a4a-c1e9-4d74-9273-1e76cfcf21f3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Compassionate Tesla\",\"description\":\"Graph Your Way to Great Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:18:52.806238\",\"folder\":null,\"id\":\"28c5d9dd-0466-4c80-9e58-b1e061cd358d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jubilant Goldstine\",\"description\":\"Harness the Power of Conversational AI.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:21:44.488510\",\"folder\":null,\"id\":\"b3c57e4f-28a1-4580-bf08-a9484bdd66e8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Elegant Curie\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:23:47.610237\",\"folder\":null,\"id\":\"28fb024e-6ba1-4f5b-83b3-4742b3b8117c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Chandrasekhar\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:24:29.824530\",\"folder\":null,\"id\":\"d2b87cf7-9167-4030-8e9f-b8d9aa0cadee\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Nobel\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:26:51.210699\",\"folder\":null,\"id\":\"c2c9fbac-7d97-40c2-8055-dff608df9414\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Elated Edison\",\"description\":\"Advanced NLP for Groundbreaking Business Solutions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:27:35.822482\",\"folder\":null,\"id\":\"a55561cd-4b25-473f-bde5-884cbabb0d24\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Dazzling Lichterman\",\"description\":\"Building Linguistic Labyrinths.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:29:09.259381\",\"folder\":null,\"id\":\"9c6fe6d4-8311-4fc6-8b02-2a816d7c059d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Distracted Bhaskara\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:31:36.053452\",\"folder\":null,\"id\":\"ef6fc1ab-aff8-45a1-8cd5-bc8e38565e4d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Watt\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:32:26.765250\",\"folder\":null,\"id\":\"499b5351-9c09-4934-9f9d-a24be2fd8b24\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jolly Wien\",\"description\":\"Bridging Prompts for Brilliance.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:33:23.648859\",\"folder\":null,\"id\":\"a57eda91-7f6e-410d-9990-385fe0c724f3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nostalgic Spence\",\"description\":\"Mapping Meaningful Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:34:22.576407\",\"folder\":null,\"id\":\"685f685e-8a1b-4b7e-9e21-6cdd72163c91\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Comical Fermat\",\"description\":\"Create, Connect, Converse.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:35:44.920540\",\"folder\":null,\"id\":\"3e061766-b834-4fa4-ba9c-b060925d9703\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grave Volta\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:36:33.001572\",\"folder\":null,\"id\":\"135f2fd9-e005-40bc-a9bf-c25107388415\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Davinci\",\"description\":\"Create Powerful Connections, Boost Business Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:37:16.208823\",\"folder\":null,\"id\":\"167cdb24-7e1c-475b-893a-cca2f125426c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hilarious Sinoussi\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:38:07.215401\",\"folder\":null,\"id\":\"48113cab-2c04-493f-8c2e-c8d067826aa2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grave Sagan\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:39:19.479656\",\"folder\":null,\"id\":\"28d292dc-e094-4ffe-a657-178892933267\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cranky Hoover\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:40:02.895859\",\"folder\":null,\"id\":\"0c9849b7-b2d6-4d0e-8334-abfb3ae183dd\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Mendeleev\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:40:27.867247\",\"folder\":null,\"id\":\"d78c52e9-1941-4555-9bb9-abd01f176705\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Dubinsky\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:41:23.177402\",\"folder\":null,\"id\":\"5277a04c-b5da-4597-aaa2-a6b66ea11d02\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cocky Poitras\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:42:08.731865\",\"folder\":null,\"id\":\"b0d0c8de-4eea-484a-a068-b13e63f7e71c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pedantic Ptolemy\",\"description\":\"Crafting Conversations, One Node at a Time.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:42:25.658996\",\"folder\":null,\"id\":\"b6f155e2-03eb-4232-9bab-145463382fe9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Loving Cray\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:43:57.530112\",\"folder\":null,\"id\":\"b75c10ca-9ecb-432b-88ab-e1847e836e22\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Pasteur\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:44:58.979393\",\"folder\":null,\"id\":\"3710eccb-e7a7-41d5-9339-d9c301515d17\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Gates\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:45:42.744174\",\"folder\":null,\"id\":\"fdd2271e-92f6-4349-8c01-2ec0e9e73f13\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Determined Khorana\",\"description\":\"Beyond Text Generation - Unleashing Business Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:46:10.084684\",\"folder\":null,\"id\":\"88b49a97-0888-4fea-8d9b-6ac2cc6d158e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Booth\",\"description\":\"Design Dialogues with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:46:41.577750\",\"folder\":null,\"id\":\"629afe54-8796-45be-a570-e3ac79c60792\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jubilant Mendeleev\",\"description\":\"Chain the Words, Master Language!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:47:22.631243\",\"folder\":null,\"id\":\"7bf481b0-73fe-4f5b-a3d4-1263d9d8e827\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Clever Varahamihira\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:49:51.026960\",\"folder\":null,\"id\":\"df9e86b6-56c9-4848-9010-102615314766\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sleepy Stallman\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:50:14.932236\",\"folder\":null,\"id\":\"3e66994c-9b7a-4b85-a917-65d1959d7352\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Modest Wozniak\",\"description\":\"Advanced NLP for Groundbreaking Business Solutions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:51:13.811894\",\"folder\":null,\"id\":\"d10f924a-5780-4255-9f41-3e102ae03e84\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hopeful Mirzakhani\",\"description\":\"Graph Your Way to Great Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:52:23.906908\",\"folder\":null,\"id\":\"f3378fa8-ccaf-4a3b-90d6-b8ab0c4e481f\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Awesome Joule\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:52:43.863440\",\"folder\":null,\"id\":\"deaa50e7-a8b1-46b1-856c-334ee781e1c2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Peppy Shockley\",\"description\":\"Generate, Innovate, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:53:43.299699\",\"folder\":null,\"id\":\"c72eac2c-d924-40c6-a102-da524216d090\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Zany Dewey\",\"description\":\"Flow into the Future of Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:54:18.848827\",\"folder\":null,\"id\":\"d9425324-bb60-462e-b431-90a536f2bc76\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gloomy Joliot\",\"description\":\"Language Engineering Excellence.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:12.348608\",\"folder\":null,\"id\":\"621ba134-3fac-487c-98cd-96941439f1be\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Backstabbing Franklin\",\"description\":\"Craft Language Connections Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.491824\",\"folder\":null,\"id\":\"86ca9773-c7b7-4a1a-859a-6cbe0ddff206\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sharp Swartz\",\"description\":\"Beyond Text Generation - Unleashing Business Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.524414\",\"folder\":null,\"id\":\"da1c02b7-d608-4498-9946-7d02f55fa103\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Serene Volta\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.641432\",\"folder\":null,\"id\":\"8d5dd998-6b51-4f65-8331-086a7f3b11d7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Focused Lichterman\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.746120\",\"folder\":null,\"id\":\"942027d3-e2ea-48c6-8279-0a41b54e8862\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Einstein\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.746904\",\"folder\":null,\"id\":\"9e9b6298-1073-4297-8ecc-3c620b432e70\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cocky Planck\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.747420\",\"folder\":null,\"id\":\"7cd60c83-b797-4e60-af6d-cbc540657943\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Suspicious Zobell\",\"description\":\"Innovation in Interaction, Revolution in Revenue.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.749951\",\"folder\":null,\"id\":\"dab08306-9521-4e15-aa11-e6a6a4e210f8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Small Knuth\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:16.772119\",\"folder\":null,\"id\":\"c9149590-636a-44f5-aaae-45a4e78fe4df\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Wright\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:52.954568\",\"folder\":null,\"id\":\"6b23b2ad-c07c-46f6-b9ad-268783d1712e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Vibrant Lalande\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.656156\",\"folder\":null,\"id\":\"ece3bcf6-a147-4559-862e-cacff9db5f48\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Happy Gauss\",\"description\":\"The Pinnacle of Prompt Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.717991\",\"folder\":null,\"id\":\"252b6021-ecad-4eaf-9e2f-106c4c89c496\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gigantic Rosalind\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.736261\",\"folder\":null,\"id\":\"b8cb6d8d-c0fb-4e8d-a46e-2c608dc8a714\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Adoring Hubble\",\"description\":\"Powerful Prompts, Perfectly Positioned.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.769546\",\"folder\":null,\"id\":\"553a67db-7225-474c-978e-8a40cde2bfb2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Mclean\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.981063\",\"folder\":null,\"id\":\"e0865007-4d80-4edf-87ab-9e8d2892d719\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Trusting Murdock\",\"description\":\"Uncover Business Opportunities with NLP.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.982286\",\"folder\":null,\"id\":\"1021cd20-66e0-4b81-9c79-bfe729774d20\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Perky Riemann\",\"description\":\"Powerful Prompts, Perfectly Positioned.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.983216\",\"folder\":null,\"id\":\"089074d3-8a1e-4d85-a59d-b4717090e4d3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Small Tesla\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:00:35.704142\",\"folder\":null,\"id\":\"beb49d88-255e-4db4-931b-4ab4358f1097\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Boyd\",\"description\":\"Smart Chains, Smarter Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:01:13.569507\",\"folder\":null,\"id\":\"75b5ab8d-e0c0-43cf-912b-8578550e198a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Small Babbage\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:01:27.944868\",\"folder\":null,\"id\":\"503edd55-8f70-43e5-87fb-2324eaf62336\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Bose\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:02:40.122079\",\"folder\":null,\"id\":\"ae4f2992-1a23-4a43-bec6-68b823935762\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Coulomb\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.263237\",\"folder\":null,\"id\":\"a2a464db-b02a-4440-ad9e-7b552ee6c027\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Drunk Newton\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.883766\",\"folder\":null,\"id\":\"1a5d9af7-5a96-4035-a09c-e15741785828\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jovial Pasteur\",\"description\":\"Your Hub for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.933083\",\"folder\":null,\"id\":\"04b94873-0828-41dc-a850-fd4132c9b9f1\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Playful Spence\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.967685\",\"folder\":null,\"id\":\"47003dc2-7884-48a3-aa66-e4185079f4d9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cheerful Noyce\",\"description\":\"Your Passport to Linguistic Landscapes.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.983198\",\"folder\":null,\"id\":\"13769cb4-2e15-4d54-a28a-c97dc15db58c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Awesome Edison\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:16.018879\",\"folder\":null,\"id\":\"453dacde-6b10-406b-a5b3-f90f44be6899\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Upbeat Snyder\",\"description\":\"Powerful Prompts, Perfectly Positioned.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:16.205689\",\"folder\":null,\"id\":\"9544fac9-3002-47aa-86b9-102844fe9649\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tender Khorana\",\"description\":\"Chain the Words, Master Language!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:16.243434\",\"folder\":null,\"id\":\"90498ef6-34f9-45c8-8cd0-fe6a36a26f41\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Elated Albattani\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:05:07.775497\",\"folder\":null,\"id\":\"9577c416-8ce8-48f6-ad6d-ab2e003bb415\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Charming Goodall\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:07:52.139318\",\"folder\":null,\"id\":\"f10dc08e-b9c7-44b3-8837-b95aee2f6dbb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hilarious Ramanujan\",\"description\":\"Harness the Power of Conversational AI.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:08:22.448480\",\"folder\":null,\"id\":\"c864bd8c-67cd-465f-bf7d-7a35c7df37f3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tender Mclean\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:09:56.507826\",\"folder\":null,\"id\":\"f0c13b19-ae23-40e6-88d6-d135897ee100\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grave Hawking\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:10:27.169757\",\"folder\":null,\"id\":\"0afb91b4-8f41-4270-900a-f5de647d45ad\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gloomy Lovelace\",\"description\":\"Your Passport to Linguistic Landscapes.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:11:02.292233\",\"folder\":null,\"id\":\"0f1e5dcf-8769-4157-b495-5f215b490107\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Fervent Kilby\",\"description\":\"Empowering Enterprises with Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:11:46.960966\",\"folder\":null,\"id\":\"310d03d9-dd50-4946-9a27-38ee06906212\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Admiring Almeida\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:12:24.475101\",\"folder\":null,\"id\":\"3cbc8fc2-a86f-4177-9a1c-a833b2a24283\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Elated Roentgen\",\"description\":\"Empowering Enterprises with Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:06.753571\",\"folder\":null,\"id\":\"c508e922-29e9-4234-84ae-505c5bdf41c1\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Perky Poitras\",\"description\":\"Chain the Words, Master Language!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.754605\",\"folder\":null,\"id\":\"1431df05-1b6f-41af-a063-a18d26a946ef\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tender Khayyam\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.791627\",\"folder\":null,\"id\":\"344e03fb-fd49-4e87-be67-7dce04ba655b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Zealous Mayer\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.803889\",\"folder\":null,\"id\":\"8b3ff1cb-3a6c-46ee-b09a-0e9f9f13a8b9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tiny Ramanujan\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.822583\",\"folder\":null,\"id\":\"18961e76-f4b1-4968-926a-fed22cb04f69\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cheerful Franklin\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.854440\",\"folder\":null,\"id\":\"0e0ee854-ab46-4333-a848-2e1239a24334\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Serene Swirles\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.988932\",\"folder\":null,\"id\":\"cc7b8238-3d15-4f78-bd0c-8311691c9ff8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sleepy Swartz\",\"description\":\"Uncover Business Opportunities with NLP.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:08.028688\",\"folder\":null,\"id\":\"123369f9-c83c-4ed3-93b6-78ca29c271cf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cranky Kowalevski\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.097607\",\"folder\":null,\"id\":\"ed4b1490-e9e5-46bf-b337-166b48eaadd6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sprightly Golick\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.617772\",\"folder\":null,\"id\":\"9d1be311-c618-4e3e-aeb1-4161ab37850e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Boring Newton\",\"description\":\"Generate, Innovate, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.646124\",\"folder\":null,\"id\":\"63a75f99-1745-40d3-9e27-3d19a143be45\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sprightly Noyce\",\"description\":\"Beyond Text Generation - Unleashing Business Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.685781\",\"folder\":null,\"id\":\"b418ca87-eb17-42e8-b789-3fcb0cab3ddb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Fluffy Fermat\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.705984\",\"folder\":null,\"id\":\"93802b07-eee9-4a2b-8691-7d9a231bd67e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Stoic Payne\",\"description\":\"Beyond Text Generation - Unleashing Business Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.723990\",\"folder\":null,\"id\":\"d62df661-0ae5-4b41-a9fb-71cb2e46ad52\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Darwin\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.818343\",\"folder\":null,\"id\":\"d1f62248-415c-474a-bfa6-3509a528a33b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Focused Thompson\",\"description\":\"Transform Your Business with Smart Dialogues.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.925999\",\"folder\":null,\"id\":\"d2267176-f020-4c52-90a4-7f944d7c1749\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Admiring Dewey\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:07.400402\",\"folder\":null,\"id\":\"8cf1ac8d-d34d-4e8a-a9da-be44672e1dfb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Prickly Zuse\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.384611\",\"folder\":null,\"id\":\"bae3cb5b-0f1b-4e95-bf58-7eab38da3d73\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hungry Zuse\",\"description\":\"The Pinnacle of Prompt Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.436591\",\"folder\":null,\"id\":\"4dfafe3e-e9ef-405d-be72-550084411d69\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Khayyam\",\"description\":\"Design Dialogues with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.435958\",\"folder\":null,\"id\":\"e0f81215-dc55-4b5a-b8cf-6e2fcbf297a7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Big Mendel\",\"description\":\"Innovation in Interaction with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.470080\",\"folder\":null,\"id\":\"5022a71c-da47-4975-a4d0-6d2d9e760d3d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Inquisitive Poitras\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.484430\",\"folder\":null,\"id\":\"4f1ff9e3-3500-404c-80af-2010bc46cdcb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Joyous Jones\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.661306\",\"folder\":null,\"id\":\"77af3e47-c2cc-42f6-99e1-78589439a447\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Exuberant Khayyam\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.662877\",\"folder\":null,\"id\":\"6f3e2e56-b329-47e3-86cc-024c29203016\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Dazzling Visvesvaraya\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.092917\",\"folder\":null,\"id\":\"449ac0ee-ee29-4a9f-9aff-fd6a86624457\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nostalgic Tesla\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.630382\",\"folder\":null,\"id\":\"a2136ed3-dc75-4a8f-ab34-6887ff955b23\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Noether\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.652058\",\"folder\":null,\"id\":\"fd1080f8-db07-481a-b2ba-60f67fcb20a6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Dazzling Pasteur\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.688661\",\"folder\":null,\"id\":\"d534d5e1-92aa-4fb2-a795-7071c4feba47\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Comical Sinoussi\",\"description\":\"Bridging Prompts for Brilliance.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.741385\",\"folder\":null,\"id\":\"85323170-c066-4d8f-acb0-1b142241389e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Small Ramanujan\",\"description\":\"Uncover Business Opportunities with NLP.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.790086\",\"folder\":null,\"id\":\"b0d18432-21ab-404b-acb6-57ef97353fad\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sick Joliot\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":442,\"id\":\"OpenAIEmbeddings-rVj1B\",\"type\":\"genericNode\",\"position\":{\"x\":-100.23754663035719,\"y\":-718.7575880388187},\"data\":{\"type\":\"OpenAIEmbeddings\",\"node\":{\"template\":{\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1000,\"password\":false,\"name\":\"chunk_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"deployment\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"embedding_ctx_length\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":8191,\"password\":false,\"name\":\"embedding_ctx_length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"password\":false,\"name\":\"headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_type\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_version\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"show_progress_bar\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"show_progress_bar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"skip_empty\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"skip_empty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_enabled\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":true,\"name\":\"tiktoken_enabled\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"OpenAIEmbeddings\"},\"description\":\"OpenAI embedding models.\",\"base_classes\":[\"OpenAIEmbeddings\",\"Embeddings\"],\"display_name\":\"OpenAIEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAIEmbeddings-rVj1B\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-100.23754663035719,\"y\":-718.7575880388187}}],\"edges\":[],\"viewport\":{\"x\":267.7156633365312,\"y\":716.9644817529361,\"zoom\":0.7169776240079139}},\"is_component\":false,\"updated_at\":\"2023-12-08T18:52:26.999440\",\"folder\":null,\"id\":\"be39958a-ef42-4fa8-8e54-b611e56b5c97\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Graceful Lumiere\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:11.012069\",\"folder\":null,\"id\":\"f7dcecfd-533c-4f40-9dcb-f213962ed1a2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"aaaaa\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":442,\"id\":\"OpenAIEmbeddings-P6Z0D\",\"type\":\"genericNode\",\"position\":{\"x\":-100.23754663035719,\"y\":-718.7575880388187},\"data\":{\"type\":\"OpenAIEmbeddings\",\"node\":{\"template\":{\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1000,\"password\":false,\"name\":\"chunk_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"deployment\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"embedding_ctx_length\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":8191,\"password\":false,\"name\":\"embedding_ctx_length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"password\":false,\"name\":\"headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_type\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_version\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"show_progress_bar\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"show_progress_bar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"skip_empty\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"skip_empty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_enabled\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":true,\"name\":\"tiktoken_enabled\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"_type\":\"OpenAIEmbeddings\"},\"description\":\"OpenAI embedding models.\",\"base_classes\":[\"OpenAIEmbeddings\",\"Embeddings\"],\"display_name\":\"OpenAIEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAIEmbeddings-P6Z0D\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-100.23754663035719,\"y\":-718.7575880388187}}],\"edges\":[],\"viewport\":{\"x\":266.7156633365312,\"y\":657.9644817529361,\"zoom\":0.7169776240079139}},\"is_component\":false,\"updated_at\":\"2023-12-08T19:05:14.503144\",\"folder\":null,\"id\":\"c2411a20-57c6-44cc-a0d0-2c857453633d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Aryabhata\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":459,\"id\":\"CustomComponent-Qhbd7\",\"type\":\"genericNode\",\"position\":{\"x\":-224.36198532285903,\"y\":-39.03047722134913},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nfrom openai import OpenAI\\n\\n\\nclass Component(CustomComponent):\\n    display_name: str = \\\"OpenAI STT english translator\\\"\\n    description: str = \\\"Transcript and translate any audio to english\\\"\\n    documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n    def build_config(self):\\n        return {\\\"audio_path\\\":{\\\"display_name\\\":\\\"Audio path\\\",\\\"input_types\\\":[\\\"str\\\"]},\\\"openAI_key\\\":{\\\"display_name\\\":\\\"OpenAI key\\\",\\\"password\\\":True}}\\n\\n    def build(self,audio_path:str,openAI_key:str) -> str:\\n        client = OpenAI(api_key=openAI_key)\\n        audio_file= open(audio_path, \\\"rb\\\")\\n        transcript = client.audio.translations.create(\\n          model=\\\"whisper-1\\\", \\n          file=audio_file\\n        )\\n        self.status = transcript.text\\n        return transcript.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"audio_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"audio_path\",\"display_name\":\"Audio path\",\"advanced\":false,\"input_types\":[\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"aaaaa\"},\"openAI_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openAI_key\",\"display_name\":\"OpenAI key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Transcript and translate any audio to english\",\"base_classes\":[\"str\"],\"display_name\":\"OpenAI STT english tra\",\"custom_fields\":{\"audio_path\":null,\"openAI_key\":null},\"output_types\":[\"str\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-Qhbd7\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-224.36198532285903,\"y\":-39.03047722134913}}],\"edges\":[],\"viewport\":{\"x\":433.8372868055629,\"y\":250.9611989970935,\"zoom\":0.8467453123625275}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:16:56.971879\",\"folder\":null,\"id\":\"122eee5d-9734-4e51-9da5-b39bead64a8d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Wing\",\"description\":\"Your Toolkit for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:23.227017\",\"folder\":null,\"id\":\"171d0063-6446-4c6a-8f5b-786a38951d44\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mad Boyd\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.063781\",\"folder\":null,\"id\":\"3a7af50c-6555-4004-a86e-1ea37e477900\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Boring Dewey\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.065404\",\"folder\":null,\"id\":\"dc4b4235-a550-41e2-9ddb-bcb352a1bc03\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nauseous Carroll\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.087501\",\"folder\":null,\"id\":\"9550e2bf-db7a-41f5-84e5-177a181bbeda\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Silly Engelbart\",\"description\":\"Generate, Innovate, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.112543\",\"folder\":null,\"id\":\"6a3a24bb-01cb-4d8e-8d17-0dc92d257322\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sassy Khayyam\",\"description\":\"Innovation in Interaction, Revolution in Revenue.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.147631\",\"folder\":null,\"id\":\"8d372f5e-ca12-4ea8-a1a1-8846afa72692\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Bell\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.212921\",\"folder\":null,\"id\":\"800f8785-0f41-4db3-aef8-9e3de5250526\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sleepy Bassi\",\"description\":\"Unleashing Business Potential through Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.395729\",\"folder\":null,\"id\":\"4589607a-065b-4a8f-ba52-5045d7b04086\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Volhard\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.263971\",\"folder\":null,\"id\":\"b2440ed8-44fa-4684-adf7-b5e84bff6577\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Ecstatic Poincare\",\"description\":\"Your Passport to Linguistic Landscapes.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.377270\",\"folder\":null,\"id\":\"b996f514-e0b8-432f-969b-7276630a8f4b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grave Zuse\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.406385\",\"folder\":null,\"id\":\"6e2e9c12-0afc-499e-acdd-adf4b5f7d4fc\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Big Hopper\",\"description\":\"Conversation Catalyst Engine.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.413014\",\"folder\":null,\"id\":\"e020f1a5-aa12-45e7-ba50-6eb64a735e60\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Jang\",\"description\":\"Conversation Catalyst Engine.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.433045\",\"folder\":null,\"id\":\"ee58f892-b7b2-408e-b4b9-9d862fc315aa\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Ohm\",\"description\":\"Promptly Ingenious!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.403404\",\"folder\":null,\"id\":\"023a1fc3-8807-4167-b6b2-f4e5daf036f1\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Distracted Degrasse\",\"description\":\"Bridging Prompts for Brilliance.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.411655\",\"folder\":null,\"id\":\"085f106f-c1e9-4a0f-ba31-d2fafe685d9c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Exuberant Volta\",\"description\":\"Catalyzing Business Growth through Conversational AI.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.408697\",\"folder\":null,\"id\":\"14481bb5-1353-452f-9359-d38c9419d79c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Bose\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:21.774940\",\"folder\":null,\"id\":\"e9316292-4ee1-441b-8327-0b09a7831fe9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Thirsty Easley\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.416556\",\"folder\":null,\"id\":\"668806ba-3efa-44de-aeb7-4ac082ba9172\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Joyous Mestorf\",\"description\":\"Generate, Innovate, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.484048\",\"folder\":null,\"id\":\"3fc0a371-aada-4450-9d17-33d3cc05c870\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Playful Franklin\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.509095\",\"folder\":null,\"id\":\"af967c98-5f08-4ee2-b1ce-6c16b4f9ebe2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Bhaskara\",\"description\":\"Empowering Enterprises with Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.508465\",\"folder\":null,\"id\":\"758c4164-b521-45d0-a15f-d49480e312eb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Funky Edison\",\"description\":\"Unravel the Art of Articulation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.602296\",\"folder\":null,\"id\":\"f9d3d30f-8859-433f-bafc-ccf1a7196e35\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Silly Ride\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.604061\",\"folder\":null,\"id\":\"0142bca5-eb61-42ed-9917-70c4c0f54eb0\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Noyce\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.603113\",\"folder\":null,\"id\":\"0b63d036-4669-4ceb-8ea4-34035340df77\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cocky Bhabha\",\"description\":\"Language Engineering Excellence.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.345767\",\"folder\":null,\"id\":\"8b9a66d4-a924-4b84-a2b5-5dd0645ac07a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Thirsty Zobell\",\"description\":\"Unleashing Business Potential through Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.722319\",\"folder\":null,\"id\":\"c912fd6b-b32d-409f-a0e5-c6249b066429\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Fervent Shaw\",\"description\":\"Language Architect at Work!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.750779\",\"folder\":null,\"id\":\"9d755cd4-c652-43e0-a68d-75a5475ce7a3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Giggly Newton\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.786602\",\"folder\":null,\"id\":\"0d3af7de-1ada-4c43-a69f-1bfad370ccfc\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Modest Yalow\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.792245\",\"folder\":null,\"id\":\"b6444376-4162-436b-8b40-f5a6afc850db\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sad Bhabha\",\"description\":\"Empowering Enterprises with Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.890349\",\"folder\":null,\"id\":\"d90af439-fb34-4d27-98f2-06f7f9a9ed8c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Spirited Hoover\",\"description\":\"The Pinnacle of Prompt Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.905750\",\"folder\":null,\"id\":\"31597ce2-de3c-490b-9ead-3f702f63cfd9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Trusting Davinci\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:08.001400\",\"folder\":null,\"id\":\"b43c63e9-a257-4a53-8acc-049e13706ac2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"23\",\"description\":\"23\",\"data\":{\"nodes\":[{\"width\":384,\"height\":467,\"id\":\"PromptTemplate-K7xiS\",\"type\":\"genericNode\",\"position\":{\"x\":-658.2250903773149,\"y\":809.352046606987},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"dasdas\",\"dasdasd\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"{dasdas}\\n{dasdasd}\\n\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"dasdas\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"dasdas\",\"display_name\":\"dasdas\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"dasdasd\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"dasdasd\",\"display_name\":\"dasdasd\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"PromptTemplate\",\"BasePromptTemplate\",\"StringPromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"dasdas\",\"dasdasd\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-K7xiS\"},\"selected\":false,\"positionAbsolute\":{\"x\":-658.2250903773149,\"y\":809.352046606987},\"dragging\":false},{\"width\":384,\"height\":366,\"id\":\"AirbyteJSONLoader-DXfcM\",\"type\":\"genericNode\",\"position\":{\"x\":-1110.8267574563533,\"y\":569.1107380883907},\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"suffixes\":[\".json\"],\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\"json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-DXfcM\"},\"selected\":false,\"positionAbsolute\":{\"x\":-1110.8267574563533,\"y\":569.1107380883907},\"dragging\":false},{\"width\":384,\"height\":376,\"id\":\"PromptRunner-ckWMH\",\"type\":\"genericNode\",\"position\":{\"x\":-1149.4746387825978,\"y\":992.3970573758324},\"data\":{\"type\":\"PromptRunner\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.prompts import PromptTemplate\\nfrom langchain.schema import Document\\n\\n\\nclass PromptRunner(CustomComponent):\\n    display_name: str = \\\"Prompt Runner\\\"\\n    description: str = \\\"Run a Chain with the given PromptTemplate\\\"\\n    beta: bool = True\\n    field_config = {\\n        \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n        \\\"prompt\\\": {\\n            \\\"display_name\\\": \\\"Prompt Template\\\",\\n            \\\"info\\\": \\\"Make sure the prompt has all variables filled.\\\",\\n        },\\n        \\\"code\\\": {\\\"show\\\": False},\\n    }\\n\\n    def build(self, llm: BaseLLM, prompt: PromptTemplate, inputs: dict = {}) -> Document:\\n        chain = prompt | llm\\n        # The input is an empty dict because the prompt is already filled\\n        result = chain.invoke(input=inputs)\\n        if hasattr(result, \\\"content\\\"):\\n            result = result.content\\n        self.repr_value = result\\n        return Document(page_content=str(result))\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"inputs\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"inputs\",\"display_name\":\"inputs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLM\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt Template\",\"advanced\":false,\"dynamic\":false,\"info\":\"Make sure the prompt has all variables filled.\",\"type\":\"PromptTemplate\",\"list\":false}},\"description\":\"Run a Chain with the given PromptTemplate\",\"base_classes\":[\"Document\"],\"display_name\":\"Prompt Runner\",\"custom_fields\":{\"inputs\":null,\"llm\":null,\"prompt\":null},\"output_types\":[\"PromptRunner\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"PromptRunner-ckWMH\"},\"selected\":false,\"positionAbsolute\":{\"x\":-1149.4746387825978,\"y\":992.3970573758324},\"dragging\":false}],\"edges\":[{\"source\":\"PromptRunner-ckWMH\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œPromptRunnerœ,œidœ:œPromptRunner-ckWMHœ}\",\"target\":\"PromptTemplate-K7xiS\",\"targetHandle\":\"{œfieldNameœ:œdasdasdœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"dasdasd\",\"id\":\"PromptTemplate-K7xiS\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"PromptRunner\",\"id\":\"PromptRunner-ckWMH\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-PromptRunner-ckWMH{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œPromptRunnerœ,œidœ:œPromptRunner-ckWMHœ}-PromptTemplate-K7xiS{œfieldNameœ:œdasdasdœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\"},{\"source\":\"AirbyteJSONLoader-DXfcM\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œAirbyteJSONLoaderœ,œidœ:œAirbyteJSONLoader-DXfcMœ}\",\"target\":\"PromptTemplate-K7xiS\",\"targetHandle\":\"{œfieldNameœ:œdasdasœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"dasdas\",\"id\":\"PromptTemplate-K7xiS\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"AirbyteJSONLoader\",\"id\":\"AirbyteJSONLoader-DXfcM\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-AirbyteJSONLoader-DXfcM{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œAirbyteJSONLoaderœ,œidœ:œAirbyteJSONLoader-DXfcMœ}-PromptTemplate-K7xiS{œfieldNameœ:œdasdasœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\"}],\"viewport\":{\"x\":721.09842496776,\"y\":-303.59762799439625,\"zoom\":0.6417129487814537}},\"is_component\":false,\"updated_at\":\"2023-12-08T22:52:14.560323\",\"folder\":null,\"id\":\"8533c46e-21fd-4b92-b68e-1086ea86c72d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Stonebraker\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:26:42.332360\",\"folder\":null,\"id\":\"92bc0875-4a73-44f2-9410-3b8342e404bf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search (1)\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n    display_name: str = \\\"Metaphor Search\\\"\\n    description: str = \\\"Search in Metaphor with a custom string.\\\"\\n    beta = True\\n    \\n    def build_config(self):\\n        return {\\n        \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"},   \\n        \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n        \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\",  \\\"is_list\\\": True},\\n        \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n        \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n        \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n        \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n    }\\n\\n    def build(\\n        self,\\n        methaphor_client: Data,\\n        query: str,\\n        search_type: str='keyword',\\n        search_num_results: int = 5,\\n        include_domains: List[str]= [\\\"youtube.com\\\"],\\n        use_autoprompt: bool = False,\\n        start_date: str=\\\"2023-01-01\\\",\\n        \\n    ) -> Data:\\n        \\n        results = []\\n        for domain in include_domains:\\n            response = methaphor_client.search(\\n                    query,\\n                    num_results=int(search_num_results),\\n                    include_domains=[domain],\\n                    use_autoprompt=use_autoprompt,\\n                    type=search_type,\\n                    # start_crawl_date=start_date,\\n                    start_published_date=start_date\\n                )\\n            results.extend(response.results)\\n    \\n        self.repr_value = results\\n\\n        return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-dMB5d\"},\"id\":\"CustomComponent-dMB5d\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:43.668665\",\"folder\":null,\"id\":\"912265df-9b87-4b30-a585-1ca59b944391\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search (2)\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n    display_name: str = \\\"Metaphor Search\\\"\\n    description: str = \\\"Search in Metaphor with a custom string.\\\"\\n    beta = True\\n    \\n    def build_config(self):\\n        return {\\n        \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"},   \\n        \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n        \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\",  \\\"is_list\\\": True},\\n        \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n        \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n        \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n        \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n    }\\n\\n    def build(\\n        self,\\n        methaphor_client: Data,\\n        query: str,\\n        search_type: str='keyword',\\n        search_num_results: int = 5,\\n        include_domains: List[str]= [\\\"youtube.com\\\"],\\n        use_autoprompt: bool = False,\\n        start_date: str=\\\"2023-01-01\\\",\\n        \\n    ) -> Data:\\n        \\n        results = []\\n        for domain in include_domains:\\n            response = methaphor_client.search(\\n                    query,\\n                    num_results=int(search_num_results),\\n                    include_domains=[domain],\\n                    use_autoprompt=use_autoprompt,\\n                    type=search_type,\\n                    # start_crawl_date=start_date,\\n                    start_published_date=start_date\\n                )\\n            results.extend(response.results)\\n    \\n        self.repr_value = results\\n\\n        return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-ipifC\"},\"id\":\"CustomComponent-ipifC\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:49.799612\",\"folder\":null,\"id\":\"ca83ee08-2f93-427d-9897-80fef6dd5447\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n    display_name: str = \\\"Metaphor Search\\\"\\n    description: str = \\\"Search in Metaphor with a custom string.\\\"\\n    beta = True\\n    \\n    def build_config(self):\\n        return {\\n        \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"},   \\n        \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n        \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\",  \\\"is_list\\\": True},\\n        \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n        \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n        \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n        \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n    }\\n\\n    def build(\\n        self,\\n        methaphor_client: Data,\\n        query: str,\\n        search_type: str='keyword',\\n        search_num_results: int = 5,\\n        include_domains: List[str]= [\\\"youtube.com\\\"],\\n        use_autoprompt: bool = False,\\n        start_date: str=\\\"2023-01-01\\\",\\n        \\n    ) -> Data:\\n        \\n        results = []\\n        for domain in include_domains:\\n            response = methaphor_client.search(\\n                    query,\\n                    num_results=int(search_num_results),\\n                    include_domains=[domain],\\n                    use_autoprompt=use_autoprompt,\\n                    type=search_type,\\n                    # start_crawl_date=start_date,\\n                    start_published_date=start_date\\n                )\\n            results.extend(response.results)\\n    \\n        self.repr_value = results\\n\\n        return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-Y4qL7\"},\"id\":\"CustomComponent-Y4qL7\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:53.719960\",\"folder\":null,\"id\":\"5847602b-769a-4a82-82e8-a70f54a59929\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Williams\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:27:45.691254\",\"folder\":null,\"id\":\"0e3bdba9-127a-4399-81a4-2865b70a4a47\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Shared Component\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":328,\"id\":\"CSVAgent-TK9Ea\",\"type\":\"genericNode\",\"position\":{\"x\":251.25514772667083,\"y\":160.7424529887874},\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"beta\":false,\"error\":null},\"id\":\"CSVAgent-TK9Ea\"},\"positionAbsolute\":{\"x\":251.25514772667083,\"y\":160.7424529887874}}],\"edges\":[],\"viewport\":{\"x\":104.85568116317398,\"y\":88.26375874183478,\"zoom\":0.7169776240079145}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:28:34.119070\",\"folder\":null,\"id\":\"29c1a247-47b0-457b-8666-7c0a67dc72b0\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"teste cristhian\",\"description\":\"11111\",\"data\":{\"nodes\":[{\"width\":384,\"height\":328,\"id\":\"CSVAgent-P5wrB\",\"type\":\"genericNode\",\"position\":{\"x\":251.25514772667083,\"y\":160.7424529887874},\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"beta\":false,\"error\":null},\"id\":\"CSVAgent-P5wrB\"},\"positionAbsolute\":{\"x\":251.25514772667083,\"y\":160.7424529887874}},{\"width\":384,\"height\":626,\"id\":\"OpenAI-zpihD\",\"type\":\"genericNode\",\"position\":{\"x\":-56.983202536768374,\"y\":61.715652677908665},\"data\":{\"type\":\"OpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"batch_size\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":20,\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"best_of\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"best_of\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"frequency_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"frequency_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"logit_bias\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"logit_bias\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-babbage-001\",\"password\":false,\"options\":[\"text-davinci-003\",\"text-davinci-002\",\"text-curie-001\",\"text-babbage-001\",\"text-ada-001\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false,\"value\":\"dasdasdasdsadasdas\"},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"presence_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"presence_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"1.4\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"top_p\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"top_p\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"OpenAI\"},\"description\":\"OpenAI large language models.\",\"base_classes\":[\"OpenAI\",\"BaseLanguageModel\",\"BaseLLM\",\"BaseOpenAI\"],\"display_name\":\"OpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAI-zpihD\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-56.983202536768374,\"y\":61.715652677908665}}],\"edges\":[],\"viewport\":{\"x\":104.85568116317398,\"y\":88.26375874183478,\"zoom\":0.7169776240079145}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:40:48.453096\",\"folder\":null,\"id\":\"2e59d013-2acb-49a6-915b-9231a7e6eb58\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVAgent (1)\",\"description\":\"Construct a CSV agent from a CSV and tools.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVAgent-jsHqy\"},\"id\":\"CSVAgent-jsHqy\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:31:17.317322\",\"folder\":null,\"id\":\"ab1034a9-9b5b-4c65-bf6e-9f098a403942\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Suspicious Wilsonfasdfsd\",\"description\":\"Building Linguistic Labyrinths.fasdfads\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T14:43:45.298121\",\"folder\":null,\"id\":\"7d91c0c5-fba6-4c60-b4d1-11d430ef357a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (1)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-pAHh6\"},\"id\":\"AirbyteJSONLoader-pAHh6\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:47:58.573137\",\"folder\":null,\"id\":\"f0cc4292-97cc-4748-803d-949e30dcf661\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"ff2\":\"d3bbd\"},{\"w\":\"bvd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-0zU2Q\"},\"id\":\"AirbyteJSONLoader-0zU2Q\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:50:09.035318\",\"folder\":null,\"id\":\"5e3c0d55-1a00-4e15-9821-0c625c6415ff\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVAgent\",\"description\":\"Construct a CSV agent from a CSV and tools.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVAgent-Ub1Xe\"},\"id\":\"CSVAgent-Ub1Xe\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:50:16.985419\",\"folder\":null,\"id\":\"baee8061-4788-4ce6-928f-c6ce1ecb443c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Heisenberg\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":366,\"id\":\"CSVLoader-RMUx9\",\"type\":\"genericNode\",\"position\":{\"x\":111,\"y\":345.51250076293945},\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"z2b\":\"z9\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null},\"id\":\"CSVLoader-RMUx9\"},\"positionAbsolute\":{\"x\":111,\"y\":345.51250076293945}}],\"edges\":[],\"viewport\":{\"x\":0,\"y\":0,\"zoom\":1}},\"is_component\":false,\"updated_at\":\"2023-12-09T14:38:40.291137\",\"folder\":null,\"id\":\"109e9629-d569-4555-9d40-42203a5ed035\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CohereEmbeddings\",\"description\":\"Cohere embedding models.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CohereEmbeddings\",\"node\":{\"template\":{\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cohere_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"cohere_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"embed-english-v2.0\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"truncate\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"truncate\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"user_agent\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"langchain\",\"password\":false,\"name\":\"user_agent\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"CohereEmbeddings\"},\"description\":\"Cohere embedding models.\",\"base_classes\":[\"CohereEmbeddings\",\"Embeddings\"],\"display_name\":\"CohereEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/cohere\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CohereEmbeddings-HFUAf\"},\"id\":\"CohereEmbeddings-HFUAf\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:50:46.172344\",\"folder\":null,\"id\":\"662d8040-d47c-40db-bda1-66489a1c9d24\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (1)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-3wrib\"},\"id\":\"CSVLoader-3wrib\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:56:11.662526\",\"folder\":null,\"id\":\"4fae6aec-ddbd-498d-a4d1-ca0290f6a5ad\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (2)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-VEjyx\"},\"id\":\"CSVLoader-VEjyx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:57:37.560784\",\"folder\":null,\"id\":\"d80635ee-966c-41f2-981c-afa2c388ac6e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (3)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-PIhOc\"},\"id\":\"CSVLoader-PIhOc\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:00:27.991966\",\"folder\":null,\"id\":\"c5cc4c32-77c8-4889-a9f8-2632466b7366\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (4)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-deB43\"},\"id\":\"CSVLoader-deB43\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:00:42.509243\",\"folder\":null,\"id\":\"0ab59938-ccf4-4bb9-b285-1f5da38648f0\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-mdkLm\"},\"id\":\"CSVLoader-mdkLm\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:02:17.458354\",\"folder\":null,\"id\":\"f127b7e7-4149-492e-8998-6b1b35ec4153\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (5)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-FRc6Y\"},\"id\":\"CSVLoader-FRc6Y\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:02:26.958867\",\"folder\":null,\"id\":\"a870a096-725c-4914-add0-8d57d710b7e5\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (2)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-Z0uol\"},\"id\":\"AirbyteJSONLoader-Z0uol\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:03:33.764117\",\"folder\":null,\"id\":\"2a37c76c-65c8-4c01-a72d-eb46f3d41a56\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-28ASv\"},\"id\":\"AmazonBedrockEmbeddings-28ASv\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:03:41.066618\",\"folder\":null,\"id\":\"850ba4e6-96ca-49a7-9b0c-4b7048fd52c8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"ConversationBufferMemory\",\"description\":\"Buffer for storing conversation memory.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"ConversationBufferMemory\",\"node\":{\"template\":{\"chat_memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMessageHistory\",\"list\":false},\"ai_prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"AI\",\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"human_prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"Human\",\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"input_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\",\"type\":\"str\",\"list\":false},\"memory_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"output_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\",\"type\":\"str\",\"list\":false},\"return_messages\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ConversationBufferMemory\"},\"description\":\"Buffer for storing conversation memory.\",\"base_classes\":[\"BaseMemory\",\"BaseChatMemory\",\"ConversationBufferMemory\"],\"display_name\":\"ConversationBufferMemory\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/buffer\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"ConversationBufferMemory-WaoLx\"},\"id\":\"ConversationBufferMemory-WaoLx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:04:46.058568\",\"folder\":null,\"id\":\"be650940-0449-4eb0-a708-056310f924fd\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (1)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-Bs5PG\"},\"id\":\"AmazonBedrockEmbeddings-Bs5PG\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:05:50.570800\",\"folder\":null,\"id\":\"53ad1fe2-f3af-4354-86e0-eb141ce12859\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (2)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-zSZ4t\"},\"id\":\"AmazonBedrockEmbeddings-zSZ4t\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:06:11.415088\",\"folder\":null,\"id\":\"e9ed1c90-146e-452d-8ccd-ebf2e0da4331\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (3)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-Bxhlt\"},\"id\":\"AmazonBedrockEmbeddings-Bxhlt\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:07:06.411108\",\"folder\":null,\"id\":\"83783c57-64e3-41a6-aa7e-ed82f80f1e53\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (6)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"z2b\":\"z9\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-2pn2o\"},\"id\":\"CSVLoader-2pn2o\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:38:30.706258\",\"folder\":null,\"id\":\"c4ae9de6-9df3-4d3c-afc9-1752af4fecd7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Agent Initializer\",\"description\":\"Initialize a Langchain Agent.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AgentInitializer\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, List, Union\\n\\nfrom langchain.agents import AgentExecutor, AgentType, initialize_agent, types\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool\\n\\n\\nclass AgentInitializerComponent(CustomComponent):\\n    display_name: str = \\\"Agent Initializer\\\"\\n    description: str = \\\"Initialize a Langchain Agent.\\\"\\n    documentation: str = \\\"https://python.langchain.com/docs/modules/agents/agent_types/\\\"\\n\\n    def build_config(self):\\n        agents = list(types.AGENT_TO_CLASS.keys())\\n        # field_type and required are optional\\n        return {\\n            \\\"agent\\\": {\\\"options\\\": agents, \\\"value\\\": agents[0], \\\"display_name\\\": \\\"Agent Type\\\"},\\n            \\\"max_iterations\\\": {\\\"display_name\\\": \\\"Max Iterations\\\", \\\"value\\\": 10},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"Language Model\\\"},\\n        }\\n\\n    def build(\\n        self, agent: str, llm: BaseLanguageModel, memory: BaseChatMemory, tools: List[Tool], max_iterations: int\\n    ) -> Union[AgentExecutor, Callable]:\\n        agent = AgentType(agent)\\n        return initialize_agent(\\n            tools=tools,\\n            llm=llm,\\n            agent=agent,\\n            memory=memory,\\n            return_intermediate_steps=True,\\n            handle_parsing_errors=True,\\n            max_iterations=max_iterations,\\n        )\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"agent\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"zero-shot-react-description\",\"password\":false,\"options\":[\"zero-shot-react-description\",\"react-docstore\",\"self-ask-with-search\",\"conversational-react-description\",\"chat-zero-shot-react-description\",\"chat-conversational-react-description\",\"structured-chat-zero-shot-react-description\",\"openai-functions\",\"openai-multi-functions\",\"JsonAgent\",\"CSVAgent\",\"AgentInitializer\",\"VectorStoreAgent\",\"VectorStoreRouterAgent\",\"SQLAgent\"],\"name\":\"agent\",\"display_name\":\"Agent Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"Language Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"max_iterations\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":10,\"password\":false,\"name\":\"max_iterations\",\"display_name\":\"Max Iterations\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"memory\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMemory\",\"list\":false},\"tools\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Tool\",\"list\":true}},\"description\":\"Initialize a Langchain Agent.\",\"base_classes\":[\"Chain\",\"AgentExecutor\",\"Callable\"],\"display_name\":\"Agent Initializer\",\"custom_fields\":{\"agent\":null,\"llm\":null,\"max_iterations\":null,\"memory\":null,\"tools\":null},\"output_types\":[\"AgentInitializer\"],\"documentation\":\"https://python.langchain.com/docs/modules/agents/agent_types/\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AgentInitializer-MJrAC\"},\"id\":\"AgentInitializer-MJrAC\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:42:54.715163\",\"folder\":null,\"id\":\"ff84b5f9-5680-4084-a9f1-7d94fe675486\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Agent Initializer (1)\",\"description\":\"Initialize a Langchain Agent.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AgentInitializer\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, List, Union\\n\\nfrom langchain.agents import AgentExecutor, AgentType, initialize_agent, types\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool\\n\\n\\nclass AgentInitializerComponent(CustomComponent):\\n    display_name: str = \\\"Agent Initializer\\\"\\n    description: str = \\\"Initialize a Langchain Agent.\\\"\\n    documentation: str = \\\"https://python.langchain.com/docs/modules/agents/agent_types/\\\"\\n\\n    def build_config(self):\\n        agents = list(types.AGENT_TO_CLASS.keys())\\n        # field_type and required are optional\\n        return {\\n            \\\"agent\\\": {\\\"options\\\": agents, \\\"value\\\": agents[0], \\\"display_name\\\": \\\"Agent Type\\\"},\\n            \\\"max_iterations\\\": {\\\"display_name\\\": \\\"Max Iterations\\\", \\\"value\\\": 10},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"Language Model\\\"},\\n        }\\n\\n    def build(\\n        self, agent: str, llm: BaseLanguageModel, memory: BaseChatMemory, tools: List[Tool], max_iterations: int\\n    ) -> Union[AgentExecutor, Callable]:\\n        agent = AgentType(agent)\\n        return initialize_agent(\\n            tools=tools,\\n            llm=llm,\\n            agent=agent,\\n            memory=memory,\\n            return_intermediate_steps=True,\\n            handle_parsing_errors=True,\\n            max_iterations=max_iterations,\\n        )\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"agent\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"zero-shot-react-description\",\"password\":false,\"options\":[\"zero-shot-react-description\",\"react-docstore\",\"self-ask-with-search\",\"conversational-react-description\",\"chat-zero-shot-react-description\",\"chat-conversational-react-description\",\"structured-chat-zero-shot-react-description\",\"openai-functions\",\"openai-multi-functions\",\"JsonAgent\",\"CSVAgent\",\"AgentInitializer\",\"VectorStoreAgent\",\"VectorStoreRouterAgent\",\"SQLAgent\"],\"name\":\"agent\",\"display_name\":\"Agent Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"Language Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"max_iterations\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":10,\"password\":false,\"name\":\"max_iterations\",\"display_name\":\"Max Iterations\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"memory\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMemory\",\"list\":false},\"tools\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Tool\",\"list\":true}},\"description\":\"Initialize a Langchain Agent.\",\"base_classes\":[\"Chain\",\"AgentExecutor\",\"Callable\"],\"display_name\":\"Agent Initializer\",\"custom_fields\":{\"agent\":null,\"llm\":null,\"max_iterations\":null,\"memory\":null,\"tools\":null},\"output_types\":[\"AgentInitializer\"],\"documentation\":\"https://python.langchain.com/docs/modules/agents/agent_types/\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AgentInitializer-3lcZ4\"},\"id\":\"AgentInitializer-3lcZ4\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:43:20.819934\",\"folder\":null,\"id\":\"97f5db9f-d6cc-4555-88fb-3be102c67814\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Exuberant Banach\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T14:52:49.951416\",\"folder\":null,\"id\":\"a600acd1-213a-4ce7-8648-ab2ee59f5918\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (3)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-JhQtx\"},\"id\":\"AirbyteJSONLoader-JhQtx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:44:49.587337\",\"folder\":null,\"id\":\"07c52ad7-ca52-4cdd-ab40-74a91dbad0dd\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (4)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-bIvDc\"},\"id\":\"AirbyteJSONLoader-bIvDc\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:45:13.458500\",\"folder\":null,\"id\":\"53e4d256-3653-444b-b8e0-fb97b3ae5c7e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (5)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-2BLS8\"},\"id\":\"AirbyteJSONLoader-2BLS8\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:45:44.461699\",\"folder\":null,\"id\":\"b5158cc1-c6b8-4e25-907a-bc7e7637aa38\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (4)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-NsBzN\"},\"id\":\"AmazonBedrockEmbeddings-NsBzN\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:50:29.791575\",\"folder\":null,\"id\":\"3fb77f72-1be7-4ce0-ae89-a82b0eee9acf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Golick\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.707854\",\"folder\":null,\"id\":\"9c5d21c2-ea82-4cf4-a591-c3d3fd3f13e6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Davinci (1)\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.761150\",\"folder\":null,\"id\":\"f8e2e16e-129c-4116-9626-2c6b524d97b7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Degrasse\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.764440\",\"folder\":null,\"id\":\"d7f4f7b5-effe-4834-8cab-4f2fc4f6e9de\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Prickly Archimedes\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.767546\",\"folder\":null,\"id\":\"2265d813-4a87-410f-b06a-65e35db8219e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Boring Heyrovsky\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.765105\",\"folder\":null,\"id\":\"10bfd881-e67e-4c33-965d-ee041695edce\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nostalgic Carroll\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.811794\",\"folder\":null,\"id\":\"63fa5653-4513-47f2-8dfa-baeb1d981f93\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Perlman\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.814993\",\"folder\":null,\"id\":\"f4bc5945-20d9-4703-a5bb-6a4a3ef7fc8e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hilarious Stallman\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.813144\",\"folder\":null,\"id\":\"8d8b80f9-4b74-4cd5-bc5c-08a32c4d2b95\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Awesome Einstein\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:19.518262\",\"folder\":null,\"id\":\"21808fd7-a492-4e29-8863-301c2785f542\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Funky Swanson\",\"description\":\"Sculpting Language with Precision.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.185637\",\"folder\":null,\"id\":\"7752299a-4aa9-44db-8d9c-5c4a2ac1b071\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Romantic Pascal\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.223064\",\"folder\":null,\"id\":\"78f48a13-6a9f-42ce-9d58-ec9b63b381d2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Bartik\",\"description\":\"Sculpting Language with Precision.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.239758\",\"folder\":null,\"id\":\"38074091-3d7c-4d42-b61b-ae195c1b8a4e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Condescending Joliot\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.271996\",\"folder\":null,\"id\":\"773020aa-5c2d-4632-ad9e-21276861ab93\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Kalam\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.283929\",\"folder\":null,\"id\":\"0092d077-6d31-401f-a739-b164476b90ed\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grinning Bhabha\",\"description\":\"Your Passport to Linguistic Landscapes.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.467739\",\"folder\":null,\"id\":\"4a395211-712d-4dd2-b3bb-e6b19200f15d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Babbage\",\"description\":\"Design Dialogues with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.742990\",\"folder\":null,\"id\":\"3f086a82-3e29-4328-9da8-e02dc9201744\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tiny Volta\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:24:18.594247\",\"folder\":null,\"id\":\"659b8289-c8e8-413d-9b2b-51e68411f170\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Radiant Jennings\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:24:42.640309\",\"folder\":null,\"id\":\"f55f0640-d47e-4471-b1ba-3411d38ecac5\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Distracted Shaw\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:24:58.376247\",\"folder\":null,\"id\":\"a039811e-449a-4244-83ed-4ddd731a0921\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Peppy Murdock (1)\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:25:14.674524\",\"folder\":null,\"id\":\"0faf6144-6ca6-4f64-a343-665ae54774ef\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Volta\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:26:50.418029\",\"folder\":null,\"id\":\"c5d149d0-c401-4f5e-b79f-2abcc7b8d98d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Bubbly Curie\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:27:10.900899\",\"folder\":null,\"id\":\"7bb2d226-9740-433d-861f-a499632c5a13\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Radiant Nobel\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:29:11.541630\",\"folder\":null,\"id\":\"947906d8-75ea-470c-a8e2-cc80c5d3bdbb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cheerful Northcutt\",\"description\":\"Unleashing Business Potential through Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:29:37.169791\",\"folder\":null,\"id\":\"56f109fd-2c18-42ed-a9b2-089a678a0c11\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Suspicious Khayyam\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:30:24.686359\",\"folder\":null,\"id\":\"551d7bfa-49aa-43f1-a779-e47eabc2aaf2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Spence\",\"description\":\"Create, Curate, Communicate with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:30:47.738472\",\"folder\":null,\"id\":\"12aef128-130e-492e-bf84-62d4cb4cd456\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Lavoisier\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:31:43.272365\",\"folder\":null,\"id\":\"9952c044-6903-4fba-a270-6ed0b90c93c9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Upbeat Bose\",\"description\":\"Unravel the Art of Articulation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:32:23.972035\",\"folder\":null,\"id\":\"65f49582-c9fa-4c67-a2bc-4e8fa73ca731\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tender Perlman\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:33:26.984083\",\"folder\":null,\"id\":\"9ae57fe2-c677-47fa-a059-7d3d915a1178\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sharp Cori\",\"description\":\"Conversation Catalyst Engine.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:33:52.377359\",\"folder\":null,\"id\":\"2920dde2-5c24-4fe0-9c06-ef86b5a16a99\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"}]"
-          },
-          "headersSize": -1,
-          "bodySize": -1,
-          "redirectURL": ""
-        },
-        "cache": {},
-        "timings": { "send": -1, "wait": -1, "receive": 1.03 }
-      },
-      {
-        "startedDateTime": "2023-12-11T18:54:58.423Z",
-        "time": 0.901,
-        "request": {
-          "method": "GET",
-          "url": "http://localhost:3000/api/v1/all",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Accept", "value": "application/json, text/plain, */*" },
-            { "name": "Accept-Encoding", "value": "gzip, deflate, br" },
-            { "name": "Accept-Language", "value": "en-US,en;q=0.9" },
-            { "name": "Authorization", "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20" },
-            { "name": "Connection", "value": "keep-alive" },
-            { "name": "Cookie", "value": "access_token_lf=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20; refresh_tkn_lflw=auto" },
-            { "name": "Host", "value": "localhost:3000" },
-            { "name": "Referer", "value": "http://localhost:3000/flows" },
-            { "name": "Sec-Fetch-Dest", "value": "empty" },
-            { "name": "Sec-Fetch-Mode", "value": "cors" },
-            { "name": "Sec-Fetch-Site", "value": "same-origin" },
-            { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" },
-            { "name": "sec-ch-ua", "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" },
-            { "name": "sec-ch-ua-mobile", "value": "?0" },
-            { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
-          ],
-          "queryString": [],
-          "headersSize": -1,
-          "bodySize": -1
-        },
-        "response": {
-          "status": 200,
-          "statusText": "OK",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Access-Control-Allow-Origin", "value": "*" },
-            { "name": "connection", "value": "close" },
-            { "name": "content-length", "value": "331584" },
-            { "name": "content-type", "value": "application/json" },
-            { "name": "date", "value": "Mon, 11 Dec 2023 18:54:58 GMT" },
-            { "name": "server", "value": "uvicorn" }
-          ],
-          "content": {
-            "size": -1,
-            "mimeType": "application/json",
-            "text": "{\"chains\":{\"ConversationalRetrievalChain\":{\"template\":{\"callbacks\":{\"type\":\"Callbacks\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"condense_question_llm\":{\"type\":\"BaseLanguageModel\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"condense_question_llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"condense_question_prompt\":{\"type\":\"BasePromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":{\"input_variables\":[\"chat_history\",\"question\"],\"input_types\":{},\"output_parser\":null,\"partial_variables\":{},\"template\":\"Given the following conversation and a follow up question, rephrase the follow up question to be a standalone question, in its original language.\\n\\nChat History:\\n{chat_history}\\nFollow Up Input: {question}\\nStandalone question:\",\"template_format\":\"f-string\",\"validate_template\":false},\"fileTypes\":[],\"password\":false,\"name\":\"condense_question_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory\":{\"type\":\"BaseChatMemory\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"retriever\":{\"type\":\"BaseRetriever\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"chain_type\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"stuff\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"stuff\",\"map_reduce\",\"map_rerank\",\"refine\"],\"name\":\"chain_type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"combine_docs_chain_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"combine_docs_chain_kwargs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"return_source_documents\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_source_documents\",\"display_name\":\"Return source documents\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ConversationalRetrievalChain\"},\"description\":\"Convenience method to load chain from LLM and retriever.\",\"base_classes\":[\"BaseConversationalRetrievalChain\",\"ConversationalRetrievalChain\",\"Chain\",\"Callable\"],\"display_name\":\"ConversationalRetrievalChain\",\"documentation\":\"https://python.langchain.com/docs/modules/chains/popular/chat_vector_db\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"LLMCheckerChain\":{\"template\":{\"check_assertions_prompt\":{\"type\":\"PromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":{\"input_variables\":[\"assertions\"],\"input_types\":{},\"output_parser\":null,\"partial_variables\":{},\"template\":\"Here is a bullet point list of assertions:\\n{assertions}\\nFor each assertion, determine whether it is true or false. If it is false, explain why.\\n\\n\",\"template_format\":\"f-string\",\"validate_template\":false},\"fileTypes\":[],\"password\":false,\"name\":\"check_assertions_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"create_draft_answer_prompt\":{\"type\":\"PromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":{\"input_variables\":[\"question\"],\"input_types\":{},\"output_parser\":null,\"partial_variables\":{},\"template\":\"{question}\\n\\n\",\"template_format\":\"f-string\",\"validate_template\":false},\"fileTypes\":[],\"password\":false,\"name\":\"create_draft_answer_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"list_assertions_prompt\":{\"type\":\"PromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":{\"input_variables\":[\"statement\"],\"input_types\":{},\"output_parser\":null,\"partial_variables\":{},\"template\":\"Here is a statement:\\n{statement}\\nMake a bullet point list of the assumptions you made when producing the above statement.\\n\\n\",\"template_format\":\"f-string\",\"validate_template\":false},\"fileTypes\":[],\"password\":false,\"name\":\"list_assertions_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"revised_answer_prompt\":{\"type\":\"PromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":{\"input_variables\":[\"checked_assertions\",\"question\"],\"input_types\":{},\"output_parser\":null,\"partial_variables\":{},\"template\":\"{checked_assertions}\\n\\nQuestion: In light of the above assertions and checks, how would you answer the question '{question}'?\\n\\nAnswer:\",\"template_format\":\"f-string\",\"validate_template\":false},\"fileTypes\":[],\"password\":false,\"name\":\"revised_answer_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"LLMCheckerChain\"},\"description\":\"\",\"base_classes\":[\"Chain\",\"LLMCheckerChain\",\"Callable\"],\"display_name\":\"LLMCheckerChain\",\"documentation\":\"https://python.langchain.com/docs/modules/chains/additional/llm_checker\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"LLMMathChain\":{\"template\":{\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"llm_chain\":{\"type\":\"LLMChain\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm_chain\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory\":{\"type\":\"BaseMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"prompt\":{\"type\":\"BasePromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":{\"input_variables\":[\"question\"],\"input_types\":{},\"output_parser\":null,\"partial_variables\":{},\"template\":\"Translate a math problem into a expression that can be executed using Python's numexpr library. Use the output of running this code to answer the question.\\n\\nQuestion: ${{Question with math problem.}}\\n```text\\n${{single line mathematical expression that solves the problem}}\\n```\\n...numexpr.evaluate(text)...\\n```output\\n${{Output of running the code}}\\n```\\nAnswer: ${{Answer}}\\n\\nBegin.\\n\\nQuestion: What is 37593 * 67?\\n```text\\n37593 * 67\\n```\\n...numexpr.evaluate(\\\"37593 * 67\\\")...\\n```output\\n2518731\\n```\\nAnswer: 2518731\\n\\nQuestion: 37593^(1/5)\\n```text\\n37593**(1/5)\\n```\\n...numexpr.evaluate(\\\"37593**(1/5)\\\")...\\n```output\\n8.222831614237718\\n```\\nAnswer: 8.222831614237718\\n\\nQuestion: {question}\\n\",\"template_format\":\"f-string\",\"validate_template\":false},\"fileTypes\":[],\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"question\",\"fileTypes\":[],\"password\":false,\"name\":\"input_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"output_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"answer\",\"fileTypes\":[],\"password\":false,\"name\":\"output_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"LLMMathChain\"},\"description\":\"Chain that interprets a prompt and executes python code to do math.\",\"base_classes\":[\"Chain\",\"LLMMathChain\",\"Callable\"],\"display_name\":\"LLMMathChain\",\"documentation\":\"https://python.langchain.com/docs/modules/chains/additional/llm_math\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"RetrievalQA\":{\"template\":{\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"combine_documents_chain\":{\"type\":\"BaseCombineDocumentsChain\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"combine_documents_chain\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory\":{\"type\":\"BaseMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"retriever\":{\"type\":\"BaseRetriever\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"query\",\"fileTypes\":[],\"password\":false,\"name\":\"input_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"output_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"result\",\"fileTypes\":[],\"password\":false,\"name\":\"output_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"return_source_documents\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"password\":false,\"name\":\"return_source_documents\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"RetrievalQA\"},\"description\":\"Chain for question-answering against an index.\",\"base_classes\":[\"RetrievalQA\",\"BaseRetrievalQA\",\"Chain\",\"Callable\"],\"display_name\":\"RetrievalQA\",\"documentation\":\"https://python.langchain.com/docs/modules/chains/popular/vector_db_qa\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"RetrievalQAWithSourcesChain\":{\"template\":{\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"combine_documents_chain\":{\"type\":\"BaseCombineDocumentsChain\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"combine_documents_chain\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory\":{\"type\":\"BaseMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"retriever\":{\"type\":\"BaseRetriever\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"answer_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"answer\",\"fileTypes\":[],\"password\":false,\"name\":\"answer_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_docs_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"docs\",\"fileTypes\":[],\"password\":false,\"name\":\"input_docs_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"max_tokens_limit\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":3375,\"fileTypes\":[],\"password\":false,\"name\":\"max_tokens_limit\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"question_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"question\",\"fileTypes\":[],\"password\":false,\"name\":\"question_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"reduce_k_below_max_tokens\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"reduce_k_below_max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"return_source_documents\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"password\":false,\"name\":\"return_source_documents\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"sources_answer_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"sources\",\"fileTypes\":[],\"password\":false,\"name\":\"sources_answer_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"RetrievalQAWithSourcesChain\"},\"description\":\"Question-answering with sources over an index.\",\"base_classes\":[\"RetrievalQAWithSourcesChain\",\"BaseQAWithSourcesChain\",\"Chain\",\"Callable\"],\"display_name\":\"RetrievalQAWithSourcesChain\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"SQLDatabaseChain\":{\"template\":{\"db\":{\"type\":\"SQLDatabase\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"db\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"prompt\":{\"type\":\"BasePromptTemplate\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"SQLDatabaseChain\"},\"description\":\"Create a SQLDatabaseChain from an LLM and a database connection.\",\"base_classes\":[\"SQLDatabaseChain\",\"Chain\",\"Callable\"],\"display_name\":\"SQLDatabaseChain\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"CombineDocsChain\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"chain_type\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"stuff\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"stuff\",\"map_reduce\",\"map_rerank\",\"refine\"],\"name\":\"chain_type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"load_qa_chain\"},\"description\":\"Load question answering chain.\",\"base_classes\":[\"BaseCombineDocumentsChain\",\"Callable\"],\"display_name\":\"CombineDocsChain\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"SeriesCharacterChain\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"character\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"character\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"series\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"series\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"SeriesCharacterChain\"},\"description\":\"SeriesCharacterChain is a chain you can use to have a conversation with a character from a series.\",\"base_classes\":[\"LLMChain\",\"BaseCustomChain\",\"Chain\",\"ConversationChain\",\"SeriesCharacterChain\",\"Callable\"],\"display_name\":\"SeriesCharacterChain\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"MidJourneyPromptChain\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory\":{\"type\":\"BaseChatMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"MidJourneyPromptChain\"},\"description\":\"MidJourneyPromptChain is a chain you can use to generate new MidJourney prompts.\",\"base_classes\":[\"LLMChain\",\"BaseCustomChain\",\"Chain\",\"ConversationChain\",\"MidJourneyPromptChain\"],\"display_name\":\"MidJourneyPromptChain\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"TimeTravelGuideChain\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory\":{\"type\":\"BaseChatMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"TimeTravelGuideChain\"},\"description\":\"Time travel guide chain.\",\"base_classes\":[\"LLMChain\",\"BaseCustomChain\",\"TimeTravelGuideChain\",\"Chain\",\"ConversationChain\"],\"display_name\":\"TimeTravelGuideChain\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"LLMChain\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory\":{\"type\":\"BaseMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"prompt\":{\"type\":\"BasePromptTemplate\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"documentation\":\"\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"field_formatters\":{},\"beta\":true},\"ConversationChain\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory\":{\"type\":\"BaseMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"Memory to load context from. If none is provided, a ConversationBufferMemory will be used.\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langchain.chains import ConversationChain\\nfrom typing import Optional, Union, Callable\\nfrom langflow.field_typing import BaseLanguageModel, BaseMemory, Chain\\n\\n\\nclass ConversationChainComponent(CustomComponent):\\n    display_name = \\\"ConversationChain\\\"\\n    description = \\\"Chain to have a conversation and load context from memory.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\n                \\\"display_name\\\": \\\"Memory\\\",\\n                \\\"info\\\": \\\"Memory to load context from. If none is provided, a ConversationBufferMemory will be used.\\\",\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        if memory is None:\\n            return ConversationChain(llm=llm)\\n        return ConversationChain(llm=llm, memory=memory)\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Chain to have a conversation and load context from memory.\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"ConversationChain\",\"documentation\":\"\",\"custom_fields\":{\"llm\":null,\"memory\":null},\"output_types\":[\"ConversationChain\"],\"field_formatters\":{},\"beta\":true},\"PromptRunner\":{\"template\":{\"llm\":{\"type\":\"BaseLLM\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"prompt\":{\"type\":\"PromptTemplate\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt Template\",\"advanced\":false,\"dynamic\":false,\"info\":\"Make sure the prompt has all variables filled.\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.prompts import PromptTemplate\\nfrom langchain.schema import Document\\n\\n\\nclass PromptRunner(CustomComponent):\\n    display_name: str = \\\"Prompt Runner\\\"\\n    description: str = \\\"Run a Chain with the given PromptTemplate\\\"\\n    beta: bool = True\\n    field_config = {\\n        \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n        \\\"prompt\\\": {\\n            \\\"display_name\\\": \\\"Prompt Template\\\",\\n            \\\"info\\\": \\\"Make sure the prompt has all variables filled.\\\",\\n        },\\n        \\\"code\\\": {\\\"show\\\": False},\\n    }\\n\\n    def build(self, llm: BaseLLM, prompt: PromptTemplate, inputs: dict = {}) -> Document:\\n        chain = prompt | llm\\n        # The input is an empty dict because the prompt is already filled\\n        result = chain.invoke(input=inputs)\\n        if hasattr(result, \\\"content\\\"):\\n            result = result.content\\n        self.repr_value = result\\n        return Document(page_content=str(result))\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"inputs\":{\"type\":\"dict\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"inputs\",\"display_name\":\"inputs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Run a Chain with the given PromptTemplate\",\"base_classes\":[\"Document\"],\"display_name\":\"Prompt Runner\",\"documentation\":\"\",\"custom_fields\":{\"inputs\":null,\"llm\":null,\"prompt\":null},\"output_types\":[\"PromptRunner\"],\"field_formatters\":{},\"beta\":true}},\"agents\":{\"ZeroShotAgent\":{\"template\":{\"callback_manager\":{\"type\":\"BaseCallbackManager\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callback_manager\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"output_parser\":{\"type\":\"AgentOutputParser\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tools\":{\"type\":\"BaseTool\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"format_instructions\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":true,\"value\":\"Use the following format:\\n\\nQuestion: the input question you must answer\\nThought: you should always think about what to do\\nAction: the action to take, should be one of [{tool_names}]\\nAction Input: the input to the action\\nObservation: the result of the action\\n... (this Thought/Action/Action Input/Observation can repeat N times)\\nThought: I now know the final answer\\nFinal Answer: the final answer to the original input question\",\"fileTypes\":[],\"password\":false,\"name\":\"format_instructions\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_variables\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"Answer the following questions as best you can. You have access to the following tools:\",\"fileTypes\":[],\"password\":false,\"name\":\"prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"suffix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"Begin!\\n\\nQuestion: {input}\\nThought:{agent_scratchpad}\",\"fileTypes\":[],\"password\":false,\"name\":\"suffix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ZeroShotAgent\"},\"description\":\"Construct an agent from an LLM and tools.\",\"base_classes\":[\"ZeroShotAgent\",\"BaseSingleActionAgent\",\"Agent\",\"Callable\"],\"display_name\":\"ZeroShotAgent\",\"documentation\":\"https://python.langchain.com/docs/modules/agents/how_to/custom_mrkl_agent\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"JsonAgent\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"toolkit\":{\"type\":\"BaseToolkit\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"toolkit\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"json_agent\"},\"description\":\"Construct a json agent from an LLM and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"JsonAgent\",\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/openapi\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"CSVAgent\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".csv\"],\"file_path\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"VectorStoreAgent\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"vectorstoreinfo\":{\"type\":\"VectorStoreInfo\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"vectorstoreinfo\",\"display_name\":\"Vector Store Info\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"vectorstore_agent\"},\"description\":\"Construct an agent from a Vector Store.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"VectorStoreAgent\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"VectorStoreRouterAgent\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"vectorstoreroutertoolkit\":{\"type\":\"VectorStoreRouterToolkit\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"vectorstoreroutertoolkit\",\"display_name\":\"Vector Store Router Toolkit\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"vectorstorerouter_agent\"},\"description\":\"Construct an agent from a Vector Store Router.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"VectorStoreRouterAgent\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"SQLAgent\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"database_uri\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"database_uri\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"sql_agent\"},\"description\":\"Construct an SQL agent from an LLM and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"SQLAgent\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"AgentInitializer\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"Language Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory\":{\"type\":\"BaseChatMemory\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tools\":{\"type\":\"Tool\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"agent\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"zero-shot-react-description\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"zero-shot-react-description\",\"react-docstore\",\"self-ask-with-search\",\"conversational-react-description\",\"chat-zero-shot-react-description\",\"chat-conversational-react-description\",\"structured-chat-zero-shot-react-description\",\"openai-functions\",\"openai-multi-functions\",\"JsonAgent\",\"CSVAgent\",\"AgentInitializer\",\"VectorStoreAgent\",\"VectorStoreRouterAgent\",\"SQLAgent\"],\"name\":\"agent\",\"display_name\":\"Agent Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, List, Union\\n\\nfrom langchain.agents import AgentExecutor, AgentType, initialize_agent, types\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool\\n\\n\\nclass AgentInitializerComponent(CustomComponent):\\n    display_name: str = \\\"Agent Initializer\\\"\\n    description: str = \\\"Initialize a Langchain Agent.\\\"\\n    documentation: str = \\\"https://python.langchain.com/docs/modules/agents/agent_types/\\\"\\n\\n    def build_config(self):\\n        agents = list(types.AGENT_TO_CLASS.keys())\\n        # field_type and required are optional\\n        return {\\n            \\\"agent\\\": {\\\"options\\\": agents, \\\"value\\\": agents[0], \\\"display_name\\\": \\\"Agent Type\\\"},\\n            \\\"max_iterations\\\": {\\\"display_name\\\": \\\"Max Iterations\\\", \\\"value\\\": 10},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"Language Model\\\"},\\n        }\\n\\n    def build(\\n        self, agent: str, llm: BaseLanguageModel, memory: BaseChatMemory, tools: List[Tool], max_iterations: int\\n    ) -> Union[AgentExecutor, Callable]:\\n        agent = AgentType(agent)\\n        return initialize_agent(\\n            tools=tools,\\n            llm=llm,\\n            agent=agent,\\n            memory=memory,\\n            return_intermediate_steps=True,\\n            handle_parsing_errors=True,\\n            max_iterations=max_iterations,\\n        )\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"max_iterations\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"max_iterations\",\"display_name\":\"Max Iterations\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Initialize a Langchain Agent.\",\"base_classes\":[\"AgentExecutor\",\"Chain\",\"Callable\"],\"display_name\":\"Agent Initializer\",\"documentation\":\"https://python.langchain.com/docs/modules/agents/agent_types/\",\"custom_fields\":{\"agent\":null,\"llm\":null,\"max_iterations\":null,\"memory\":null,\"tools\":null},\"output_types\":[\"AgentInitializer\"],\"field_formatters\":{},\"beta\":true},\"OpenAIConversationalAgent\":{\"template\":{\"memory\":{\"type\":\"BaseMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"system_message\":{\"type\":\"SystemMessagePromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"system_message\",\"display_name\":\"System Message\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tools\":{\"type\":\"Tool\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import List, Optional\\n\\nfrom langchain.agents.agent import AgentExecutor\\nfrom langchain.agents.agent_toolkits.conversational_retrieval.openai_functions import _get_default_system_message\\nfrom langchain.agents.openai_functions_agent.base import OpenAIFunctionsAgent\\nfrom langchain.chat_models import ChatOpenAI\\nfrom langchain.memory.token_buffer import ConversationTokenBufferMemory\\nfrom langchain.prompts import SystemMessagePromptTemplate\\nfrom langchain.prompts.chat import MessagesPlaceholder\\nfrom langchain.schema.memory import BaseMemory\\nfrom langchain.tools import Tool\\nfrom langflow import CustomComponent\\n\\n\\nclass ConversationalAgent(CustomComponent):\\n    display_name: str = \\\"OpenAI Conversational Agent\\\"\\n    description: str = \\\"Conversational Agent that can use OpenAI's function calling API\\\"\\n\\n    def build_config(self):\\n        openai_function_models = [\\n            \\\"gpt-4-1106-preview\\\",\\n            \\\"gpt-3.5-turbo\\\",\\n            \\\"gpt-3.5-turbo-16k\\\",\\n            \\\"gpt-4\\\",\\n            \\\"gpt-4-32k\\\",\\n        ]\\n        return {\\n            \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"system_message\\\": {\\\"display_name\\\": \\\"System Message\\\"},\\n            \\\"max_token_limit\\\": {\\\"display_name\\\": \\\"Max Token Limit\\\"},\\n            \\\"model_name\\\": {\\n                \\\"display_name\\\": \\\"Model Name\\\",\\n                \\\"options\\\": openai_function_models,\\n                \\\"value\\\": openai_function_models[0],\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_name: str,\\n        openai_api_key: str,\\n        tools: List[Tool],\\n        openai_api_base: Optional[str] = None,\\n        memory: Optional[BaseMemory] = None,\\n        system_message: Optional[SystemMessagePromptTemplate] = None,\\n        max_token_limit: int = 2000,\\n    ) -> AgentExecutor:\\n        llm = ChatOpenAI(\\n            model=model_name,\\n            api_key=openai_api_key,\\n            base_url=openai_api_base,\\n        )\\n        if not memory:\\n            memory_key = \\\"chat_history\\\"\\n            memory = ConversationTokenBufferMemory(\\n                memory_key=memory_key,\\n                return_messages=True,\\n                output_key=\\\"output\\\",\\n                llm=llm,\\n                max_token_limit=max_token_limit,\\n            )\\n        else:\\n            memory_key = memory.memory_key  # type: ignore\\n\\n        _system_message = system_message or _get_default_system_message()\\n        prompt = OpenAIFunctionsAgent.create_prompt(\\n            system_message=_system_message,  # type: ignore\\n            extra_prompt_messages=[MessagesPlaceholder(variable_name=memory_key)],\\n        )\\n        agent = OpenAIFunctionsAgent(\\n            llm=llm,\\n            tools=tools,\\n            prompt=prompt,  # type: ignore\\n        )\\n        return AgentExecutor(\\n            agent=agent,\\n            tools=tools,  # type: ignore\\n            memory=memory,\\n            verbose=True,\\n            return_intermediate_steps=True,\\n            handle_parsing_errors=True,\\n        )\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"max_token_limit\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":2000,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"max_token_limit\",\"display_name\":\"Max Token Limit\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\",\"gpt-4\",\"gpt-4-32k\"],\"name\":\"model_name\",\"display_name\":\"Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"openai_api_base\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"openai_api_base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"openai_api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"openai_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Conversational Agent that can use OpenAI's function calling API\",\"base_classes\":[\"AgentExecutor\",\"Chain\"],\"display_name\":\"OpenAI Conversational Agent\",\"documentation\":\"\",\"custom_fields\":{\"max_token_limit\":null,\"memory\":null,\"model_name\":null,\"openai_api_base\":null,\"openai_api_key\":null,\"system_message\":null,\"tools\":null},\"output_types\":[\"OpenAIConversationalAgent\"],\"field_formatters\":{},\"beta\":true}},\"prompts\":{\"ChatMessagePromptTemplate\":{\"template\":{\"additional_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"additional_kwargs\",\"advanced\":true,\"dynamic\":true,\"info\":\"\"},\"prompt\":{\"type\":\"prompt\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"\\nYou are a helpful assistant that talks casually about life in general.\\nYou are a good listener and you can talk about anything.\\n\",\"fileTypes\":[],\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"role\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"role\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"_type\":\"ChatMessagePromptTemplate\"},\"description\":\"Chat message prompt template.\",\"base_classes\":[\"BaseStringMessagePromptTemplate\",\"ChatMessagePromptTemplate\",\"BaseMessagePromptTemplate\"],\"display_name\":\"ChatMessagePromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/msg_prompt_templates\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"ChatPromptTemplate\":{\"template\":{\"messages\":{\"type\":\"BaseMessagePromptTemplate\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"messages\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"output_parser\":{\"type\":\"BaseOutputParser\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"input_types\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"input_variables\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"partial_variables\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"validate_template\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"_type\":\"ChatPromptTemplate\"},\"description\":\"A prompt template for chat models.\",\"base_classes\":[\"BaseChatPromptTemplate\",\"BasePromptTemplate\",\"ChatPromptTemplate\"],\"display_name\":\"ChatPromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/how_to/prompts\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"HumanMessagePromptTemplate\":{\"template\":{\"additional_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"additional_kwargs\",\"advanced\":true,\"dynamic\":true,\"info\":\"\"},\"prompt\":{\"type\":\"prompt\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"\\nYou are a helpful assistant that talks casually about life in general.\\nYou are a good listener and you can talk about anything.\\n\",\"fileTypes\":[],\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"_type\":\"HumanMessagePromptTemplate\"},\"description\":\"Human message prompt template. This is a message sent from the user.\",\"base_classes\":[\"BaseStringMessagePromptTemplate\",\"HumanMessagePromptTemplate\",\"BaseMessagePromptTemplate\"],\"display_name\":\"HumanMessagePromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/how_to/prompts\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"PromptTemplate\":{\"template\":{\"output_parser\":{\"type\":\"BaseOutputParser\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"input_types\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"input_variables\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"partial_variables\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"template\":{\"type\":\"prompt\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"fileTypes\":[],\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"template_format\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"fileTypes\":[],\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"validate_template\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"_type\":\"PromptTemplate\"},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"BasePromptTemplate\",\"PromptTemplate\",\"StringPromptTemplate\"],\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"SystemMessagePromptTemplate\":{\"template\":{\"additional_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"additional_kwargs\",\"advanced\":true,\"dynamic\":true,\"info\":\"\"},\"prompt\":{\"type\":\"prompt\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"\\nYou are a helpful assistant that talks casually about life in general.\\nYou are a good listener and you can talk about anything.\\n\",\"fileTypes\":[],\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"_type\":\"SystemMessagePromptTemplate\"},\"description\":\"System message prompt template.\",\"base_classes\":[\"BaseStringMessagePromptTemplate\",\"SystemMessagePromptTemplate\",\"BaseMessagePromptTemplate\"],\"display_name\":\"SystemMessagePromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/how_to/prompts\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false}},\"llms\":{\"Anthropic\":{\"template\":{\"anthropic_api_key\":{\"type\":\"SecretStr\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"anthropic_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"count_tokens\":{\"type\":\"Callable[[str], int]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"count_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"AI_PROMPT\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"AI_PROMPT\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"HUMAN_PROMPT\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"HUMAN_PROMPT\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"anthropic_api_url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"anthropic_api_url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"async_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"cache\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"default_request_timeout\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"default_request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"max_tokens_to_sample\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":256,\"fileTypes\":[],\"password\":false,\"name\":\"max_tokens_to_sample\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"claude-2\",\"fileTypes\":[],\"password\":false,\"name\":\"model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"streaming\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"top_k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"top_k\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"top_p\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"Anthropic\"},\"description\":\"Anthropic large language models.\",\"base_classes\":[\"LLM\",\"BaseLanguageModel\",\"_AnthropicCommon\",\"BaseLLM\",\"Anthropic\"],\"display_name\":\"Anthropic\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"Cohere\":{\"template\":{\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"async_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"cache\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"cohere_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"cohere_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"frequency_penalty\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":0.0,\"fileTypes\":[],\"password\":false,\"name\":\"frequency_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":0,\"fileTypes\":[],\"password\":false,\"name\":\"k\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"max_retries\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"max_tokens\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":256,\"fileTypes\":[],\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"p\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":1,\"fileTypes\":[],\"password\":false,\"name\":\"p\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"presence_penalty\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":0.0,\"fileTypes\":[],\"password\":false,\"name\":\"presence_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"stop\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"stop\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"streaming\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.75,\"fileTypes\":[],\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"truncate\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"truncate\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"user_agent\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"langchain\",\"fileTypes\":[],\"password\":false,\"name\":\"user_agent\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"Cohere\"},\"description\":\"Cohere large language models.\",\"base_classes\":[\"LLM\",\"BaseLanguageModel\",\"Cohere\",\"BaseLLM\",\"BaseCohere\"],\"display_name\":\"Cohere\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/cohere\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"CTransformers\":{\"template\":{\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"cache\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"config\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{\\n  \\\"top_k\\\": 40,\\n  \\\"top_p\\\": 0.95,\\n  \\\"temperature\\\": 0.8,\\n  \\\"repetition_penalty\\\": 1.1,\\n  \\\"last_n_tokens\\\": 64,\\n  \\\"seed\\\": -1,\\n  \\\"max_new_tokens\\\": 256,\\n  \\\"stop\\\": null,\\n  \\\"stream\\\": false,\\n  \\\"reset\\\": true,\\n  \\\"batch_size\\\": 8,\\n  \\\"threads\\\": -1,\\n  \\\"context_length\\\": -1,\\n  \\\"gpu_layers\\\": 0\\n}\",\"fileTypes\":[],\"password\":false,\"name\":\"config\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"lib\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"lib\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_file\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model_file\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_type\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model_type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CTransformers\"},\"description\":\"C Transformers LLM models.\",\"base_classes\":[\"LLM\",\"BaseLanguageModel\",\"BaseLLM\",\"CTransformers\"],\"display_name\":\"CTransformers\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/ctransformers\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"HuggingFaceHub\":{\"template\":{\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"cache\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"huggingfacehub_api_token\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"huggingfacehub_api_token\",\"display_name\":\"HuggingFace Hub API Token\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"repo_id\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"gpt2\",\"fileTypes\":[],\"password\":false,\"name\":\"repo_id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"task\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"text-generation\",\"fileTypes\":[],\"password\":false,\"options\":[\"text-generation\",\"text2text-generation\",\"summarization\"],\"name\":\"task\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"HuggingFaceHub\"},\"description\":\"HuggingFaceHub  models.\",\"base_classes\":[\"LLM\",\"BaseLanguageModel\",\"HuggingFaceHub\",\"BaseLLM\"],\"display_name\":\"HuggingFaceHub\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/huggingface_hub\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"LlamaCpp\":{\"template\":{\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"grammar\":{\"type\":\"ForwardRef('str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"grammar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"cache\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"cache\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"echo\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"echo\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"f16_kv\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"password\":false,\"name\":\"f16_kv\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"grammar_path\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"grammar_path\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"last_n_tokens_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":64,\"fileTypes\":[],\"password\":false,\"name\":\"last_n_tokens_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"logits_all\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"logits_all\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"logprobs\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"logprobs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"lora_base\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"lora_base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"lora_path\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"lora_path\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"max_tokens\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":256,\"fileTypes\":[],\"password\":true,\"name\":\"max_tokens\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"model_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"model_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"n_batch\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":8,\"fileTypes\":[],\"password\":false,\"name\":\"n_batch\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"n_ctx\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":512,\"fileTypes\":[],\"password\":false,\"name\":\"n_ctx\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"n_gpu_layers\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"n_gpu_layers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"n_parts\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":-1,\"fileTypes\":[],\"password\":false,\"name\":\"n_parts\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"n_threads\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"n_threads\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"repeat_penalty\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1.1,\"fileTypes\":[],\"password\":false,\"name\":\"repeat_penalty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"rope_freq_base\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":10000.0,\"fileTypes\":[],\"password\":false,\"name\":\"rope_freq_base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"rope_freq_scale\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1.0,\"fileTypes\":[],\"password\":false,\"name\":\"rope_freq_scale\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"seed\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":-1,\"fileTypes\":[],\"password\":false,\"name\":\"seed\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"stop\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":[],\"fileTypes\":[],\"password\":false,\"name\":\"stop\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"streaming\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"password\":false,\"name\":\"streaming\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"suffix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"fileTypes\":[],\"password\":false,\"name\":\"suffix\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.8,\"fileTypes\":[],\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"top_k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":40,\"fileTypes\":[],\"password\":false,\"name\":\"top_k\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.95,\"fileTypes\":[],\"password\":false,\"name\":\"top_p\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"use_mlock\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"use_mlock\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"use_mmap\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"password\":false,\"name\":\"use_mmap\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"vocab_only\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"vocab_only\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"LlamaCpp\"},\"description\":\"llama.cpp model.\",\"base_classes\":[\"LLM\",\"BaseLanguageModel\",\"LlamaCpp\",\"BaseLLM\"],\"display_name\":\"LlamaCpp\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/llamacpp\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"OpenAI\":{\"template\":{\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"allowed_special\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"value\":[],\"fileTypes\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"async_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"batch_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":20,\"fileTypes\":[],\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"best_of\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":1,\"fileTypes\":[],\"password\":false,\"name\":\"best_of\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"cache\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"default_headers\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"default_query\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"disallowed_special\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"all\",\"fileTypes\":[],\"password\":false,\"name\":\"disallowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"frequency_penalty\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":0,\"fileTypes\":[],\"password\":false,\"name\":\"frequency_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"http_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"logit_bias\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"logit_bias\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"max_retries\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":2,\"fileTypes\":[],\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"max_tokens\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":256,\"fileTypes\":[],\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"text-davinci-003\",\"fileTypes\":[],\"password\":false,\"options\":[\"text-davinci-003\",\"text-davinci-002\",\"text-curie-001\",\"text-babbage-001\",\"text-ada-001\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"n\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":1,\"fileTypes\":[],\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"openai_api_base\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\"},\"openai_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"openai_organization\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"openai_proxy\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"presence_penalty\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":0,\"fileTypes\":[],\"password\":false,\"name\":\"presence_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"request_timeout\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"streaming\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.7,\"fileTypes\":[],\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"tiktoken_model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":1,\"fileTypes\":[],\"password\":false,\"name\":\"top_p\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"OpenAI\"},\"description\":\"OpenAI large language models.\",\"base_classes\":[\"BaseLanguageModel\",\"OpenAI\",\"BaseOpenAI\",\"BaseLLM\"],\"display_name\":\"OpenAI\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"VertexAI\":{\"template\":{\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"ForwardRef(\\\"'_LanguageModel'\\\")\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client_preview\":{\"type\":\"ForwardRef(\\\"'_LanguageModel'\\\")\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client_preview\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"credentials\":{\"type\":\"file\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".json\"],\"file_path\":\"\",\"password\":false,\"name\":\"credentials\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"cache\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"location\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"us-central1\",\"fileTypes\":[],\"password\":false,\"name\":\"location\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"max_output_tokens\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":128,\"fileTypes\":[],\"password\":false,\"name\":\"max_output_tokens\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"max_retries\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":6,\"fileTypes\":[],\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"text-bison\",\"fileTypes\":[],\"password\":false,\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"n\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1,\"fileTypes\":[],\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"project\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"project\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"request_parallelism\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":5,\"fileTypes\":[],\"password\":false,\"name\":\"request_parallelism\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"stop\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"stop\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"streaming\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.0,\"fileTypes\":[],\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"top_k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":40,\"fileTypes\":[],\"password\":false,\"name\":\"top_k\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.95,\"fileTypes\":[],\"password\":false,\"name\":\"top_p\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"tuned_model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tuned_model_name\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"VertexAI\"},\"description\":\"Google Vertex AI large language models.\",\"base_classes\":[\"BaseLanguageModel\",\"_VertexAIBase\",\"_VertexAICommon\",\"BaseLLM\",\"VertexAI\"],\"display_name\":\"VertexAI\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/google_vertex_ai_palm\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"ChatAnthropic\":{\"template\":{\"anthropic_api_key\":{\"type\":\"SecretStr\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"anthropic_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"count_tokens\":{\"type\":\"Callable[[str], int]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"count_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"AI_PROMPT\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"AI_PROMPT\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"HUMAN_PROMPT\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"HUMAN_PROMPT\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"anthropic_api_url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"anthropic_api_url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"async_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"cache\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"default_request_timeout\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"default_request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"max_tokens_to_sample\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":256,\"fileTypes\":[],\"password\":false,\"name\":\"max_tokens_to_sample\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"claude-2\",\"fileTypes\":[],\"password\":false,\"name\":\"model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"streaming\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"top_k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"top_k\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"top_p\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ChatAnthropic\"},\"description\":\"`Anthropic` chat large language models.\",\"base_classes\":[\"_AnthropicCommon\",\"BaseLanguageModel\",\"BaseChatModel\",\"ChatAnthropic\",\"BaseLLM\"],\"display_name\":\"ChatAnthropic\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/anthropic\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"ChatOpenAI\":{\"template\":{\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"async_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"cache\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"default_headers\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"default_query\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"http_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"max_retries\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":2,\"fileTypes\":[],\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"max_tokens\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"fileTypes\":[],\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4-vision-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"n\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":1,\"fileTypes\":[],\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"openai_api_base\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\"},\"openai_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"openai_organization\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"openai_proxy\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"request_timeout\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"streaming\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.7,\"fileTypes\":[],\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"tiktoken_model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"BaseChatModel\",\"ChatOpenAI\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"ChatVertexAI\":{\"template\":{\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"ForwardRef(\\\"'_LanguageModel'\\\")\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client_preview\":{\"type\":\"ForwardRef(\\\"'_LanguageModel'\\\")\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client_preview\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"credentials\":{\"type\":\"file\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".json\"],\"file_path\":\"\",\"password\":false,\"name\":\"credentials\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"examples\":{\"type\":\"BaseMessage\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":true,\"fileTypes\":[],\"password\":false,\"name\":\"examples\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"cache\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"location\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"us-central1\",\"fileTypes\":[],\"password\":false,\"name\":\"location\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"max_output_tokens\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":128,\"fileTypes\":[],\"password\":false,\"name\":\"max_output_tokens\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"max_retries\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":6,\"fileTypes\":[],\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"chat-bison\",\"fileTypes\":[],\"password\":false,\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"n\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":1,\"fileTypes\":[],\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"project\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"project\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"request_parallelism\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":5,\"fileTypes\":[],\"password\":false,\"name\":\"request_parallelism\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"stop\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"stop\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"streaming\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.0,\"fileTypes\":[],\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"top_k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":40,\"fileTypes\":[],\"password\":false,\"name\":\"top_k\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.95,\"fileTypes\":[],\"password\":false,\"name\":\"top_p\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ChatVertexAI\"},\"description\":\"`Vertex AI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"BaseChatModel\",\"_VertexAIBase\",\"_VertexAICommon\",\"ChatVertexAI\",\"BaseLLM\"],\"display_name\":\"ChatVertexAI\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/google_vertex_ai_palm\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"AmazonBedrock\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.llms.bedrock import Bedrock\\nfrom langchain.llms.base import BaseLLM\\n\\n\\nclass AmazonBedrockComponent(CustomComponent):\\n    display_name: str = \\\"Amazon Bedrock\\\"\\n    description: str = \\\"LLM model from Amazon Bedrock.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\n                    \\\"ai21.j2-grande-instruct\\\",\\n                    \\\"ai21.j2-jumbo-instruct\\\",\\n                    \\\"ai21.j2-mid\\\",\\n                    \\\"ai21.j2-mid-v1\\\",\\n                    \\\"ai21.j2-ultra\\\",\\n                    \\\"ai21.j2-ultra-v1\\\",\\n                    \\\"anthropic.claude-instant-v1\\\",\\n                    \\\"anthropic.claude-v1\\\",\\n                    \\\"anthropic.claude-v2\\\",\\n                    \\\"cohere.command-text-v14\\\",\\n                ],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"streaming\\\": {\\\"display_name\\\": \\\"Streaming\\\", \\\"field_type\\\": \\\"bool\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"anthropic.claude-instant-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n    ) -> BaseLLM:\\n        try:\\n            output = Bedrock(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"credentials_profile_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"anthropic.claude-instant-v1\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"ai21.j2-grande-instruct\",\"ai21.j2-jumbo-instruct\",\"ai21.j2-mid\",\"ai21.j2-mid-v1\",\"ai21.j2-ultra\",\"ai21.j2-ultra-v1\",\"anthropic.claude-instant-v1\",\"anthropic.claude-v1\",\"anthropic.claude-v2\",\"cohere.command-text-v14\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"LLM model from Amazon Bedrock.\",\"base_classes\":[\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"Amazon Bedrock\",\"documentation\":\"\",\"custom_fields\":{\"credentials_profile_name\":null,\"model_id\":null},\"output_types\":[\"AmazonBedrock\"],\"field_formatters\":{},\"beta\":true},\"AnthropicLLM\":{\"template\":{\"anthropic_api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"anthropic_api_key\",\"display_name\":\"Anthropic API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"Your Anthropic API key.\"},\"api_endpoint\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_endpoint\",\"display_name\":\"API Endpoint\",\"advanced\":false,\"dynamic\":false,\"info\":\"Endpoint of the Anthropic API. Defaults to 'https://api.anthropic.com' if not specified.\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.chat_models.anthropic import ChatAnthropic\\nfrom langchain.llms.base import BaseLanguageModel\\nfrom pydantic.v1 import SecretStr\\n\\nfrom langflow import CustomComponent\\n\\n\\nclass AnthropicLLM(CustomComponent):\\n    display_name: str = \\\"AnthropicLLM\\\"\\n    description: str = \\\"Anthropic Chat&Completion large language models.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"model\\\": {\\n                \\\"display_name\\\": \\\"Model Name\\\",\\n                \\\"options\\\": [\\n                    \\\"claude-2.1\\\",\\n                    \\\"claude-2.0\\\",\\n                    \\\"claude-instant-1.2\\\",\\n                    \\\"claude-instant-1\\\",\\n                    # Add more models as needed\\n                ],\\n                \\\"info\\\": \\\"https://python.langchain.com/docs/integrations/chat/anthropic\\\",\\n                \\\"required\\\": True,\\n                \\\"value\\\": \\\"claude-2.1\\\",\\n            },\\n            \\\"anthropic_api_key\\\": {\\n                \\\"display_name\\\": \\\"Anthropic API Key\\\",\\n                \\\"required\\\": True,\\n                \\\"password\\\": True,\\n                \\\"info\\\": \\\"Your Anthropic API key.\\\",\\n            },\\n            \\\"max_tokens\\\": {\\n                \\\"display_name\\\": \\\"Max Tokens\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 256,\\n            },\\n            \\\"temperature\\\": {\\n                \\\"display_name\\\": \\\"Temperature\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"value\\\": 0.7,\\n            },\\n            \\\"api_endpoint\\\": {\\n                \\\"display_name\\\": \\\"API Endpoint\\\",\\n                \\\"info\\\": \\\"Endpoint of the Anthropic API. Defaults to 'https://api.anthropic.com' if not specified.\\\",\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model: str,\\n        anthropic_api_key: Optional[str] = None,\\n        max_tokens: Optional[int] = None,\\n        temperature: Optional[float] = None,\\n        api_endpoint: Optional[str] = None,\\n    ) -> BaseLanguageModel:\\n        # Set default API endpoint if not provided\\n        if not api_endpoint:\\n            api_endpoint = \\\"https://api.anthropic.com\\\"\\n\\n        try:\\n            output = ChatAnthropic(\\n                model_name=model,\\n                anthropic_api_key=SecretStr(anthropic_api_key) if anthropic_api_key else None,\\n                max_tokens_to_sample=max_tokens,  # type: ignore\\n                temperature=temperature,\\n                anthropic_api_url=api_endpoint,\\n            )\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to Anthropic API.\\\") from e\\n        return output\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"max_tokens\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":256,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"max_tokens\",\"display_name\":\"Max Tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"claude-2.1\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"claude-2.1\",\"claude-2.0\",\"claude-instant-1.2\",\"claude-instant-1\"],\"name\":\"model\",\"display_name\":\"Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"https://python.langchain.com/docs/integrations/chat/anthropic\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.7,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"_type\":\"CustomComponent\"},\"description\":\"Anthropic Chat&Completion large language models.\",\"base_classes\":[\"BaseLanguageModel\"],\"display_name\":\"AnthropicLLM\",\"documentation\":\"\",\"custom_fields\":{\"anthropic_api_key\":null,\"api_endpoint\":null,\"max_tokens\":null,\"model\":null,\"temperature\":null},\"output_types\":[\"AnthropicLLM\"],\"field_formatters\":{},\"beta\":true},\"HuggingFaceEndpoints\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.llms.huggingface_endpoint import HuggingFaceEndpoint\\nfrom langchain.llms.base import BaseLLM\\n\\n\\nclass HuggingFaceEndpointsComponent(CustomComponent):\\n    display_name: str = \\\"Hugging Face Inference API\\\"\\n    description: str = \\\"LLM model from Hugging Face Inference API.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Endpoint URL\\\", \\\"password\\\": True},\\n            \\\"task\\\": {\\n                \\\"display_name\\\": \\\"Task\\\",\\n                \\\"options\\\": [\\\"text2text-generation\\\", \\\"text-generation\\\", \\\"summarization\\\"],\\n            },\\n            \\\"huggingfacehub_api_token\\\": {\\\"display_name\\\": \\\"API token\\\", \\\"password\\\": True},\\n            \\\"model_kwargs\\\": {\\n                \\\"display_name\\\": \\\"Model Keyword Arguments\\\",\\n                \\\"field_type\\\": \\\"code\\\",\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        endpoint_url: str,\\n        task: str = \\\"text2text-generation\\\",\\n        huggingfacehub_api_token: Optional[str] = None,\\n        model_kwargs: Optional[dict] = None,\\n    ) -> BaseLLM:\\n        try:\\n            output = HuggingFaceEndpoint(\\n                endpoint_url=endpoint_url,\\n                task=task,\\n                huggingfacehub_api_token=huggingfacehub_api_token,\\n                model_kwargs=model_kwargs,\\n            )\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to HuggingFace Endpoints API.\\\") from e\\n        return output\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"endpoint_url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"endpoint_url\",\"display_name\":\"Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"huggingfacehub_api_token\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"huggingfacehub_api_token\",\"display_name\":\"API token\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_kwargs\":{\"type\":\"code\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"model_kwargs\",\"display_name\":\"Model Keyword Arguments\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"task\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"text2text-generation\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"text2text-generation\",\"text-generation\",\"summarization\"],\"name\":\"task\",\"display_name\":\"Task\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"LLM model from Hugging Face Inference API.\",\"base_classes\":[\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"Hugging Face Inference API\",\"documentation\":\"\",\"custom_fields\":{\"endpoint_url\":null,\"huggingfacehub_api_token\":null,\"model_kwargs\":null,\"task\":null},\"output_types\":[\"HuggingFaceEndpoints\"],\"field_formatters\":{},\"beta\":true},\"BaiduQianfanChatEndpoints\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.chat_models.baidu_qianfan_endpoint import QianfanChatEndpoint\\nfrom langchain.llms.base import BaseLLM\\nfrom pydantic.v1 import SecretStr\\n\\nfrom langflow import CustomComponent\\n\\n\\nclass QianfanChatEndpointComponent(CustomComponent):\\n    display_name: str = \\\"QianfanChatEndpoint\\\"\\n    description: str = (\\n        \\\"Baidu Qianfan chat models. Get more detail from \\\"\\n        \\\"https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint.\\\"\\n    )\\n\\n    def build_config(self):\\n        return {\\n            \\\"model\\\": {\\n                \\\"display_name\\\": \\\"Model Name\\\",\\n                \\\"options\\\": [\\n                    \\\"ERNIE-Bot\\\",\\n                    \\\"ERNIE-Bot-turbo\\\",\\n                    \\\"BLOOMZ-7B\\\",\\n                    \\\"Llama-2-7b-chat\\\",\\n                    \\\"Llama-2-13b-chat\\\",\\n                    \\\"Llama-2-70b-chat\\\",\\n                    \\\"Qianfan-BLOOMZ-7B-compressed\\\",\\n                    \\\"Qianfan-Chinese-Llama-2-7B\\\",\\n                    \\\"ChatGLM2-6B-32K\\\",\\n                    \\\"AquilaChat-7B\\\",\\n                ],\\n                \\\"info\\\": \\\"https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\\\",\\n                \\\"required\\\": True,\\n            },\\n            \\\"qianfan_ak\\\": {\\n                \\\"display_name\\\": \\\"Qianfan Ak\\\",\\n                \\\"required\\\": True,\\n                \\\"password\\\": True,\\n                \\\"info\\\": \\\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\\\",\\n            },\\n            \\\"qianfan_sk\\\": {\\n                \\\"display_name\\\": \\\"Qianfan Sk\\\",\\n                \\\"required\\\": True,\\n                \\\"password\\\": True,\\n                \\\"info\\\": \\\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\\\",\\n            },\\n            \\\"top_p\\\": {\\n                \\\"display_name\\\": \\\"Top p\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n                \\\"value\\\": 0.8,\\n            },\\n            \\\"temperature\\\": {\\n                \\\"display_name\\\": \\\"Temperature\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n                \\\"value\\\": 0.95,\\n            },\\n            \\\"penalty_score\\\": {\\n                \\\"display_name\\\": \\\"Penalty Score\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n                \\\"value\\\": 1.0,\\n            },\\n            \\\"endpoint\\\": {\\n                \\\"display_name\\\": \\\"Endpoint\\\",\\n                \\\"info\\\": \\\"Endpoint of the Qianfan LLM, required if custom model used.\\\",\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model: str = \\\"ERNIE-Bot-turbo\\\",\\n        qianfan_ak: Optional[str] = None,\\n        qianfan_sk: Optional[str] = None,\\n        top_p: Optional[float] = None,\\n        temperature: Optional[float] = None,\\n        penalty_score: Optional[float] = None,\\n        endpoint: Optional[str] = None,\\n    ) -> BaseLLM:\\n        try:\\n            output = QianfanChatEndpoint(  # type: ignore\\n                model=model,\\n                qianfan_ak=SecretStr(qianfan_ak) if qianfan_ak else None,\\n                qianfan_sk=SecretStr(qianfan_sk) if qianfan_sk else None,\\n                top_p=top_p,\\n                temperature=temperature,\\n                penalty_score=penalty_score,\\n                endpoint=endpoint,\\n            )\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to Baidu Qianfan API.\\\") from e\\n        return output  # type: ignore\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"endpoint\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"endpoint\",\"display_name\":\"Endpoint\",\"advanced\":false,\"dynamic\":false,\"info\":\"Endpoint of the Qianfan LLM, required if custom model used.\"},\"model\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"ERNIE-Bot-turbo\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"ERNIE-Bot\",\"ERNIE-Bot-turbo\",\"BLOOMZ-7B\",\"Llama-2-7b-chat\",\"Llama-2-13b-chat\",\"Llama-2-70b-chat\",\"Qianfan-BLOOMZ-7B-compressed\",\"Qianfan-Chinese-Llama-2-7B\",\"ChatGLM2-6B-32K\",\"AquilaChat-7B\"],\"name\":\"model\",\"display_name\":\"Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\"},\"penalty_score\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":1.0,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"penalty_score\",\"display_name\":\"Penalty Score\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"qianfan_ak\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"qianfan_ak\",\"display_name\":\"Qianfan Ak\",\"advanced\":false,\"dynamic\":false,\"info\":\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\"},\"qianfan_sk\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"qianfan_sk\",\"display_name\":\"Qianfan Sk\",\"advanced\":false,\"dynamic\":false,\"info\":\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.95,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":0.8,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_p\",\"display_name\":\"Top p\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"_type\":\"CustomComponent\"},\"description\":\"Baidu Qianfan chat models. Get more detail from https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint.\",\"base_classes\":[\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"QianfanChatEndpoint\",\"documentation\":\"\",\"custom_fields\":{\"endpoint\":null,\"model\":null,\"penalty_score\":null,\"qianfan_ak\":null,\"qianfan_sk\":null,\"temperature\":null,\"top_p\":null},\"output_types\":[\"BaiduQianfanChatEndpoints\"],\"field_formatters\":{},\"beta\":true},\"BaiduQianfanLLMEndpoints\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.llms.baidu_qianfan_endpoint import QianfanLLMEndpoint\\nfrom langchain.llms.base import BaseLLM\\n\\n\\nclass QianfanLLMEndpointComponent(CustomComponent):\\n    display_name: str = \\\"QianfanLLMEndpoint\\\"\\n    description: str = (\\n        \\\"Baidu Qianfan hosted open source or customized models. \\\"\\n        \\\"Get more detail from https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\\\"\\n    )\\n\\n    def build_config(self):\\n        return {\\n            \\\"model\\\": {\\n                \\\"display_name\\\": \\\"Model Name\\\",\\n                \\\"options\\\": [\\n                    \\\"ERNIE-Bot\\\",\\n                    \\\"ERNIE-Bot-turbo\\\",\\n                    \\\"BLOOMZ-7B\\\",\\n                    \\\"Llama-2-7b-chat\\\",\\n                    \\\"Llama-2-13b-chat\\\",\\n                    \\\"Llama-2-70b-chat\\\",\\n                    \\\"Qianfan-BLOOMZ-7B-compressed\\\",\\n                    \\\"Qianfan-Chinese-Llama-2-7B\\\",\\n                    \\\"ChatGLM2-6B-32K\\\",\\n                    \\\"AquilaChat-7B\\\",\\n                ],\\n                \\\"info\\\": \\\"https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\\\",\\n                \\\"required\\\": True,\\n            },\\n            \\\"qianfan_ak\\\": {\\n                \\\"display_name\\\": \\\"Qianfan Ak\\\",\\n                \\\"required\\\": True,\\n                \\\"password\\\": True,\\n                \\\"info\\\": \\\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\\\",\\n            },\\n            \\\"qianfan_sk\\\": {\\n                \\\"display_name\\\": \\\"Qianfan Sk\\\",\\n                \\\"required\\\": True,\\n                \\\"password\\\": True,\\n                \\\"info\\\": \\\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\\\",\\n            },\\n            \\\"top_p\\\": {\\n                \\\"display_name\\\": \\\"Top p\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n                \\\"value\\\": 0.8,\\n            },\\n            \\\"temperature\\\": {\\n                \\\"display_name\\\": \\\"Temperature\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n                \\\"value\\\": 0.95,\\n            },\\n            \\\"penalty_score\\\": {\\n                \\\"display_name\\\": \\\"Penalty Score\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n                \\\"value\\\": 1.0,\\n            },\\n            \\\"endpoint\\\": {\\n                \\\"display_name\\\": \\\"Endpoint\\\",\\n                \\\"info\\\": \\\"Endpoint of the Qianfan LLM, required if custom model used.\\\",\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model: str = \\\"ERNIE-Bot-turbo\\\",\\n        qianfan_ak: Optional[str] = None,\\n        qianfan_sk: Optional[str] = None,\\n        top_p: Optional[float] = None,\\n        temperature: Optional[float] = None,\\n        penalty_score: Optional[float] = None,\\n        endpoint: Optional[str] = None,\\n    ) -> BaseLLM:\\n        try:\\n            output = QianfanLLMEndpoint(  # type: ignore\\n                model=model,\\n                qianfan_ak=qianfan_ak,\\n                qianfan_sk=qianfan_sk,\\n                top_p=top_p,\\n                temperature=temperature,\\n                penalty_score=penalty_score,\\n                endpoint=endpoint,\\n            )\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to Baidu Qianfan API.\\\") from e\\n        return output  # type: ignore\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"endpoint\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"endpoint\",\"display_name\":\"Endpoint\",\"advanced\":false,\"dynamic\":false,\"info\":\"Endpoint of the Qianfan LLM, required if custom model used.\"},\"model\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"ERNIE-Bot-turbo\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"ERNIE-Bot\",\"ERNIE-Bot-turbo\",\"BLOOMZ-7B\",\"Llama-2-7b-chat\",\"Llama-2-13b-chat\",\"Llama-2-70b-chat\",\"Qianfan-BLOOMZ-7B-compressed\",\"Qianfan-Chinese-Llama-2-7B\",\"ChatGLM2-6B-32K\",\"AquilaChat-7B\"],\"name\":\"model\",\"display_name\":\"Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\"},\"penalty_score\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":1.0,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"penalty_score\",\"display_name\":\"Penalty Score\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"qianfan_ak\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"qianfan_ak\",\"display_name\":\"Qianfan Ak\",\"advanced\":false,\"dynamic\":false,\"info\":\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\"},\"qianfan_sk\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"qianfan_sk\",\"display_name\":\"Qianfan Sk\",\"advanced\":false,\"dynamic\":false,\"info\":\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.95,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":0.8,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_p\",\"display_name\":\"Top p\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"_type\":\"CustomComponent\"},\"description\":\"Baidu Qianfan hosted open source or customized models. Get more detail from https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\",\"base_classes\":[\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"QianfanLLMEndpoint\",\"documentation\":\"\",\"custom_fields\":{\"endpoint\":null,\"model\":null,\"penalty_score\":null,\"qianfan_ak\":null,\"qianfan_sk\":null,\"temperature\":null,\"top_p\":null},\"output_types\":[\"BaiduQianfanLLMEndpoints\"],\"field_formatters\":{},\"beta\":true}},\"memories\":{\"ConversationBufferMemory\":{\"template\":{\"chat_memory\":{\"type\":\"BaseChatMessageHistory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"ai_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"AI\",\"fileTypes\":[],\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"human_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"Human\",\"fileTypes\":[],\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\"},\"memory_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"fileTypes\":[],\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"output_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\"},\"return_messages\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ConversationBufferMemory\"},\"description\":\"Buffer for storing conversation memory.\",\"base_classes\":[\"BaseChatMemory\",\"BaseMemory\",\"ConversationBufferMemory\"],\"display_name\":\"ConversationBufferMemory\",\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/buffer\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"ConversationBufferWindowMemory\":{\"template\":{\"chat_memory\":{\"type\":\"BaseChatMessageHistory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"ai_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"AI\",\"fileTypes\":[],\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"human_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"Human\",\"fileTypes\":[],\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\"},\"k\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"password\":false,\"name\":\"k\",\"display_name\":\"Memory Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"fileTypes\":[],\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"output_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\"},\"return_messages\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ConversationBufferWindowMemory\"},\"description\":\"Buffer for storing conversation memory inside a limited size window.\",\"base_classes\":[\"BaseChatMemory\",\"ConversationBufferWindowMemory\",\"BaseMemory\"],\"display_name\":\"ConversationBufferWindowMemory\",\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/buffer_window\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"ConversationEntityMemory\":{\"template\":{\"chat_memory\":{\"type\":\"BaseChatMessageHistory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"entity_extraction_prompt\":{\"type\":\"BasePromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"entity_extraction_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"entity_store\":{\"type\":\"BaseEntityStore\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"entity_store\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"entity_summarization_prompt\":{\"type\":\"BasePromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"entity_summarization_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"ai_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"AI\",\"fileTypes\":[],\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"chat_history_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"history\",\"fileTypes\":[],\"password\":false,\"name\":\"chat_history_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"entity_cache\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"entity_cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"human_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"Human\",\"fileTypes\":[],\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\"},\"k\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"password\":false,\"name\":\"k\",\"display_name\":\"Memory Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"output_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\"},\"return_messages\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ConversationEntityMemory\"},\"description\":\"Entity extractor & summarizer memory.\",\"base_classes\":[\"BaseChatMemory\",\"BaseMemory\",\"ConversationEntityMemory\"],\"display_name\":\"ConversationEntityMemory\",\"documentation\":\"https://python.langchain.com/docs/modules/memory/integrations/entity_memory_with_sqlite\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"ConversationKGMemory\":{\"template\":{\"chat_memory\":{\"type\":\"BaseChatMessageHistory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"entity_extraction_prompt\":{\"type\":\"BasePromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"entity_extraction_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"kg\":{\"type\":\"NetworkxEntityGraph\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"kg\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"knowledge_extraction_prompt\":{\"type\":\"BasePromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"knowledge_extraction_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"summary_message_cls\":{\"type\":\"Type[langchain_core.messages.base.BaseMessage]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"summary_message_cls\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"ai_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"AI\",\"fileTypes\":[],\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"human_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"Human\",\"fileTypes\":[],\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\"},\"k\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"password\":false,\"name\":\"k\",\"display_name\":\"Memory Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"fileTypes\":[],\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"output_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\"},\"return_messages\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ConversationKGMemory\"},\"description\":\"Knowledge graph conversation memory.\",\"base_classes\":[\"BaseChatMemory\",\"ConversationKGMemory\",\"BaseMemory\"],\"display_name\":\"ConversationKGMemory\",\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/kg\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"ConversationSummaryMemory\":{\"template\":{\"chat_memory\":{\"type\":\"BaseChatMessageHistory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"prompt\":{\"type\":\"BasePromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"summary_message_cls\":{\"type\":\"Type[langchain_core.messages.base.BaseMessage]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"summary_message_cls\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"ai_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"AI\",\"fileTypes\":[],\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"buffer\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"password\":false,\"name\":\"buffer\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"human_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"Human\",\"fileTypes\":[],\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\"},\"memory_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"fileTypes\":[],\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"output_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\"},\"return_messages\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ConversationSummaryMemory\"},\"description\":\"Conversation summarizer to chat memory.\",\"base_classes\":[\"BaseChatMemory\",\"ConversationSummaryMemory\",\"BaseMemory\",\"SummarizerMixin\"],\"display_name\":\"ConversationSummaryMemory\",\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/summary\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"MongoDBChatMessageHistory\":{\"template\":{\"collection_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"message_store\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"collection_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"connection_string\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"connection_string\",\"advanced\":false,\"dynamic\":false,\"info\":\"MongoDB connection string (e.g mongodb://mongo_user:password123@mongo:27017)\"},\"database_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"database_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"session_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"session_id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"MongoDBChatMessageHistory\"},\"description\":\"Memory store with MongoDB\",\"base_classes\":[\"MongoDBChatMessageHistory\",\"BaseChatMessageHistory\"],\"display_name\":\"MongoDBChatMessageHistory\",\"documentation\":\"https://python.langchain.com/docs/modules/memory/integrations/mongodb_chat_message_history\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"MotorheadMemory\":{\"template\":{\"chat_memory\":{\"type\":\"BaseChatMessageHistory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client_id\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client_id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"context\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"context\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\"},\"memory_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"fileTypes\":[],\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"output_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\"},\"return_messages\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"session_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"session_id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"timeout\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"https://api.getmetal.io/v1/motorhead\",\"fileTypes\":[],\"password\":false,\"name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"MotorheadMemory\"},\"description\":\"Chat message memory backed by Motorhead service.\",\"base_classes\":[\"BaseChatMemory\",\"MotorheadMemory\",\"BaseMemory\"],\"display_name\":\"MotorheadMemory\",\"documentation\":\"https://python.langchain.com/docs/integrations/memory/motorhead_memory\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"PostgresChatMessageHistory\":{\"template\":{\"connection_string\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"postgresql://postgres:mypassword@localhost/chat_history\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"connection_string\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"session_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"session_id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"table_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"message_store\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"table_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"PostgresChatMessageHistory\"},\"description\":\"Memory store with Postgres\",\"base_classes\":[\"PostgresChatMessageHistory\",\"BaseChatMessageHistory\"],\"display_name\":\"PostgresChatMessageHistory\",\"documentation\":\"https://python.langchain.com/docs/modules/memory/integrations/postgres_chat_message_history\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"VectorStoreRetrieverMemory\":{\"template\":{\"retriever\":{\"type\":\"VectorStoreRetriever\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"exclude_input_keys\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"exclude_input_keys\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\"},\"memory_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"fileTypes\":[],\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"return_docs\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"return_docs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"return_messages\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"VectorStoreRetrieverMemory\"},\"description\":\"VectorStoreRetriever-backed memory.\",\"base_classes\":[\"BaseMemory\",\"VectorStoreRetrieverMemory\"],\"display_name\":\"VectorStoreRetrieverMemory\",\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/vectorstore_retriever_memory\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false}},\"tools\":{\"Calculator\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"Calculator\"},\"description\":\"Useful for when you need to answer questions about math.\",\"base_classes\":[\"Tool\",\"BaseTool\"],\"display_name\":\"Calculator\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"Search\":{\"template\":{\"aiosession\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"aiosession\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"serpapi_api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"serpapi_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"Search\"},\"description\":\"A search engine. Useful for when you need to answer questions about current events. Input should be a search query.\",\"base_classes\":[\"Tool\",\"BaseTool\"],\"display_name\":\"Search\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"Tool\":{\"template\":{\"func\":{\"type\":\"Callable\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"func\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"description\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"description\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"return_direct\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_direct\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"Tool\"},\"description\":\"Converts a chain, agent or function into a tool.\",\"base_classes\":[\"Tool\",\"BaseTool\"],\"display_name\":\"Tool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"PythonFunctionTool\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"\\ndef python_function(text: str) -> str:\\n    \\\"\\\"\\\"This is a default python function that returns the input text\\\"\\\"\\\"\\n    return text\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"description\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"description\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"return_direct\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_direct\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"PythonFunctionTool\"},\"description\":\"Python function to be executed.\",\"base_classes\":[\"BaseTool\",\"Tool\"],\"display_name\":\"PythonFunctionTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"PythonFunction\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"\\ndef python_function(text: str) -> str:\\n    \\\"\\\"\\\"This is a default python function that returns the input text\\\"\\\"\\\"\\n    return text\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"PythonFunction\"},\"description\":\"Python function to be executed.\",\"base_classes\":[\"Callable\"],\"display_name\":\"PythonFunction\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"JsonSpec\":{\"template\":{\"path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".json\",\".yaml\",\".yml\"],\"file_path\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"max_value_length\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"max_value_length\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"JsonSpec\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"JsonSpec\"],\"display_name\":\"JsonSpec\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"BingSearchRun\":{\"template\":{\"api_wrapper\":{\"type\":\"BingSearchAPIWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"BingSearchRun\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"BaseTool\",\"BingSearchRun\"],\"display_name\":\"BingSearchRun\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"GoogleSearchResults\":{\"template\":{\"api_wrapper\":{\"type\":\"GoogleSearchAPIWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"num_results\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":4,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"num_results\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"GoogleSearchResults\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"GoogleSearchResults\",\"BaseTool\"],\"display_name\":\"GoogleSearchResults\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"GoogleSearchRun\":{\"template\":{\"api_wrapper\":{\"type\":\"GoogleSearchAPIWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"GoogleSearchRun\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"BaseTool\",\"GoogleSearchRun\"],\"display_name\":\"GoogleSearchRun\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"GoogleSerperRun\":{\"template\":{\"api_wrapper\":{\"type\":\"GoogleSerperAPIWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"GoogleSerperRun\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"BaseTool\",\"GoogleSerperRun\"],\"display_name\":\"GoogleSerperRun\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"InfoSQLDatabaseTool\":{\"template\":{\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"db\":{\"type\":\"SQLDatabase\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"db\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"InfoSQLDatabaseTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"BaseSQLDatabaseTool\",\"BaseTool\",\"InfoSQLDatabaseTool\"],\"display_name\":\"InfoSQLDatabaseTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"JsonGetValueTool\":{\"template\":{\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"spec\":{\"type\":\"JsonSpec\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"spec\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"JsonGetValueTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"BaseTool\",\"JsonGetValueTool\"],\"display_name\":\"JsonGetValueTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"JsonListKeysTool\":{\"template\":{\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"spec\":{\"type\":\"JsonSpec\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"spec\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"JsonListKeysTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"JsonListKeysTool\",\"BaseTool\"],\"display_name\":\"JsonListKeysTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"ListSQLDatabaseTool\":{\"template\":{\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"db\":{\"type\":\"SQLDatabase\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"db\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ListSQLDatabaseTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"BaseSQLDatabaseTool\",\"ListSQLDatabaseTool\",\"BaseTool\"],\"display_name\":\"ListSQLDatabaseTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"QuerySQLDataBaseTool\":{\"template\":{\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"db\":{\"type\":\"SQLDatabase\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"db\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"QuerySQLDataBaseTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"BaseSQLDatabaseTool\",\"BaseTool\",\"QuerySQLDataBaseTool\"],\"display_name\":\"QuerySQLDataBaseTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"RequestsDeleteTool\":{\"template\":{\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"requests_wrapper\":{\"type\":\"TextRequestsWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"requests_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"RequestsDeleteTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"RequestsDeleteTool\",\"BaseRequestsTool\",\"BaseTool\"],\"display_name\":\"RequestsDeleteTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"RequestsGetTool\":{\"template\":{\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"requests_wrapper\":{\"type\":\"TextRequestsWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"requests_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"RequestsGetTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"RequestsGetTool\",\"BaseRequestsTool\",\"BaseTool\"],\"display_name\":\"RequestsGetTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"RequestsPatchTool\":{\"template\":{\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"requests_wrapper\":{\"type\":\"TextRequestsWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"requests_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"RequestsPatchTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"RequestsPatchTool\",\"BaseRequestsTool\",\"BaseTool\"],\"display_name\":\"RequestsPatchTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"RequestsPostTool\":{\"template\":{\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"requests_wrapper\":{\"type\":\"TextRequestsWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"requests_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"RequestsPostTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"RequestsPostTool\",\"BaseRequestsTool\",\"BaseTool\"],\"display_name\":\"RequestsPostTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"RequestsPutTool\":{\"template\":{\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"requests_wrapper\":{\"type\":\"TextRequestsWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"requests_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"RequestsPutTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"BaseRequestsTool\",\"BaseTool\",\"RequestsPutTool\"],\"display_name\":\"RequestsPutTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"WikipediaQueryRun\":{\"template\":{\"api_wrapper\":{\"type\":\"WikipediaAPIWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"WikipediaQueryRun\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"WikipediaQueryRun\",\"BaseTool\"],\"display_name\":\"WikipediaQueryRun\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"WolframAlphaQueryRun\":{\"template\":{\"api_wrapper\":{\"type\":\"WolframAlphaAPIWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"WolframAlphaQueryRun\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"BaseTool\",\"WolframAlphaQueryRun\"],\"display_name\":\"WolframAlphaQueryRun\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false}},\"toolkits\":{\"JsonToolkit\":{\"template\":{\"spec\":{\"type\":\"JsonSpec\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"spec\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"JsonToolkit\"},\"description\":\"Toolkit for interacting with a JSON spec.\",\"base_classes\":[\"JsonToolkit\",\"BaseToolkit\",\"Tool\"],\"display_name\":\"JsonToolkit\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"OpenAPIToolkit\":{\"template\":{\"json_agent\":{\"type\":\"AgentExecutor\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"json_agent\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"requests_wrapper\":{\"type\":\"TextRequestsWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"requests_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"OpenAPIToolkit\"},\"description\":\"Toolkit for interacting with an OpenAPI API.\",\"base_classes\":[\"OpenAPIToolkit\",\"BaseToolkit\",\"Tool\"],\"display_name\":\"OpenAPIToolkit\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"VectorStoreInfo\":{\"template\":{\"vectorstore\":{\"type\":\"VectorStore\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"vectorstore\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"description\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"fileTypes\":[],\"password\":false,\"name\":\"description\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"VectorStoreInfo\"},\"description\":\"Information about a VectorStore.\",\"base_classes\":[\"VectorStoreInfo\"],\"display_name\":\"VectorStoreInfo\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"VectorStoreRouterToolkit\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"vectorstores\":{\"type\":\"VectorStoreInfo\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"vectorstores\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"VectorStoreRouterToolkit\"},\"description\":\"Toolkit for routing between Vector Stores.\",\"base_classes\":[\"VectorStoreRouterToolkit\",\"BaseToolkit\",\"Tool\"],\"display_name\":\"VectorStoreRouterToolkit\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"VectorStoreToolkit\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"vectorstore_info\":{\"type\":\"VectorStoreInfo\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"vectorstore_info\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"VectorStoreToolkit\"},\"description\":\"Toolkit for interacting with a Vector Store.\",\"base_classes\":[\"VectorStoreToolkit\",\"BaseToolkit\",\"Tool\"],\"display_name\":\"VectorStoreToolkit\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"Metaphor\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import List, Union\\n\\nfrom langchain.agents import tool\\nfrom langchain.agents.agent_toolkits.base import BaseToolkit\\nfrom langchain.tools import Tool\\nfrom metaphor_python import Metaphor  # type: ignore\\n\\nfrom langflow import CustomComponent\\n\\n\\nclass MetaphorToolkit(CustomComponent):\\n    display_name: str = \\\"Metaphor\\\"\\n    description: str = \\\"Metaphor Toolkit\\\"\\n    documentation = \\\"https://python.langchain.com/docs/integrations/tools/metaphor_search\\\"\\n    beta: bool = True\\n    # api key should be password = True\\n    field_config = {\\n        \\\"metaphor_api_key\\\": {\\\"display_name\\\": \\\"Metaphor API Key\\\", \\\"password\\\": True},\\n        \\\"code\\\": {\\\"advanced\\\": True},\\n    }\\n\\n    def build(\\n        self,\\n        metaphor_api_key: str,\\n        use_autoprompt: bool = True,\\n        search_num_results: int = 5,\\n        similar_num_results: int = 5,\\n    ) -> Union[Tool, BaseToolkit]:\\n        # If documents, then we need to create a Vectara instance using .from_documents\\n        client = Metaphor(api_key=metaphor_api_key)\\n\\n        @tool\\n        def search(query: str):\\n            \\\"\\\"\\\"Call search engine with a query.\\\"\\\"\\\"\\n            return client.search(query, use_autoprompt=use_autoprompt, num_results=search_num_results)\\n\\n        @tool\\n        def get_contents(ids: List[str]):\\n            \\\"\\\"\\\"Get contents of a webpage.\\n\\n            The ids passed in should be a list of ids as fetched from `search`.\\n            \\\"\\\"\\\"\\n            return client.get_contents(ids)\\n\\n        @tool\\n        def find_similar(url: str):\\n            \\\"\\\"\\\"Get search results similar to a given URL.\\n\\n            The url passed in should be a URL returned from `search`\\n            \\\"\\\"\\\"\\n            return client.find_similar(url, num_results=similar_num_results)\\n\\n        return [search, get_contents, find_similar]  # type: ignore\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":true,\"dynamic\":true,\"info\":\"\"},\"metaphor_api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"metaphor_api_key\",\"display_name\":\"Metaphor API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_num_results\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":5,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"search_num_results\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"similar_num_results\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":5,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"similar_num_results\",\"display_name\":\"similar_num_results\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"use_autoprompt\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"use_autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Metaphor Toolkit\",\"base_classes\":[\"Tool\",\"BaseTool\",\"BaseToolkit\"],\"display_name\":\"Metaphor\",\"documentation\":\"https://python.langchain.com/docs/integrations/tools/metaphor_search\",\"custom_fields\":{\"metaphor_api_key\":null,\"search_num_results\":null,\"similar_num_results\":null,\"use_autoprompt\":null},\"output_types\":[\"Metaphor\"],\"field_formatters\":{},\"beta\":true}},\"wrappers\":{\"TextRequestsWrapper\":{\"template\":{\"aiosession\":{\"type\":\"ClientSession\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"aiosession\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"auth\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"auth\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"headers\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"fileTypes\":[],\"password\":false,\"name\":\"headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"TextRequestsWrapper\"},\"description\":\"Lightweight wrapper around requests library.\",\"base_classes\":[\"TextRequestsWrapper\"],\"display_name\":\"TextRequestsWrapper\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"SQLDatabase\":{\"template\":{\"database_uri\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"database_uri\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"engine_args\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"engine_args\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"SQLDatabase\"},\"description\":\"Construct a SQLAlchemy engine from URI.\",\"base_classes\":[\"SQLDatabase\",\"Callable\"],\"display_name\":\"SQLDatabase\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false}},\"embeddings\":{\"OpenAIEmbeddings\":{\"template\":{\"allowed_special\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":[],\"fileTypes\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"async_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"async_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"chunk_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1000,\"fileTypes\":[],\"password\":false,\"name\":\"chunk_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"default_headers\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"default_headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"default_query\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"default_query\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"deployment\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"fileTypes\":[],\"password\":false,\"name\":\"deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"disallowed_special\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"all\",\"fileTypes\":[],\"password\":false,\"name\":\"disallowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"embedding_ctx_length\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":8191,\"fileTypes\":[],\"password\":false,\"name\":\"embedding_ctx_length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"headers\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"fileTypes\":[],\"password\":false,\"name\":\"headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"http_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"http_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"max_retries\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":2,\"fileTypes\":[],\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"model\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"fileTypes\":[],\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"model_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"openai_api_base\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"openai_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"openai_api_type\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"openai_api_version\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"openai_organization\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"openai_proxy\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"request_timeout\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"retry_max_seconds\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":20,\"fileTypes\":[],\"password\":false,\"name\":\"retry_max_seconds\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"retry_min_seconds\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":4,\"fileTypes\":[],\"password\":false,\"name\":\"retry_min_seconds\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"show_progress_bar\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"show_progress_bar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"skip_empty\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"skip_empty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"tiktoken_enabled\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"password\":true,\"name\":\"tiktoken_enabled\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tiktoken_model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"OpenAIEmbeddings\"},\"description\":\"OpenAI embedding models.\",\"base_classes\":[\"OpenAIEmbeddings\",\"Embeddings\"],\"display_name\":\"OpenAIEmbeddings\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"CohereEmbeddings\":{\"template\":{\"async_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"async_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"cohere_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"cohere_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"max_retries\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"model\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"embed-english-v2.0\",\"fileTypes\":[],\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"request_timeout\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"truncate\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"truncate\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"user_agent\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"langchain\",\"fileTypes\":[],\"password\":false,\"name\":\"user_agent\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CohereEmbeddings\"},\"description\":\"Cohere embedding models.\",\"base_classes\":[\"Embeddings\",\"CohereEmbeddings\"],\"display_name\":\"CohereEmbeddings\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/cohere\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"HuggingFaceEmbeddings\":{\"template\":{\"cache_folder\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"cache_folder\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"encode_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"encode_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"model_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"sentence-transformers/all-mpnet-base-v2\",\"fileTypes\":[],\"password\":false,\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"multi_process\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"multi_process\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"HuggingFaceEmbeddings\"},\"description\":\"HuggingFace sentence_transformers embedding models.\",\"base_classes\":[\"Embeddings\",\"HuggingFaceEmbeddings\"],\"display_name\":\"HuggingFaceEmbeddings\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/sentence_transformers\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"VertexAIEmbeddings\":{\"template\":{\"client\":{\"type\":\"ForwardRef(\\\"'_LanguageModel'\\\")\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"client_preview\":{\"type\":\"ForwardRef(\\\"'_LanguageModel'\\\")\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client_preview\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"credentials\":{\"type\":\"file\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".json\"],\"file_path\":\"\",\"password\":false,\"name\":\"credentials\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"location\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"us-central1\",\"fileTypes\":[],\"password\":false,\"name\":\"location\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"max_output_tokens\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":128,\"fileTypes\":[],\"password\":true,\"name\":\"max_output_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"max_retries\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":6,\"fileTypes\":[],\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"textembedding-gecko\",\"fileTypes\":[],\"password\":false,\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"n\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1,\"fileTypes\":[],\"password\":false,\"name\":\"n\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"project\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"project\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"request_parallelism\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":5,\"fileTypes\":[],\"password\":false,\"name\":\"request_parallelism\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"stop\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"stop\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"streaming\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"streaming\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.0,\"fileTypes\":[],\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"top_k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":40,\"fileTypes\":[],\"password\":false,\"name\":\"top_k\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.95,\"fileTypes\":[],\"password\":false,\"name\":\"top_p\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"_type\":\"VertexAIEmbeddings\"},\"description\":\"Google Cloud VertexAI embedding models.\",\"base_classes\":[\"_VertexAIBase\",\"_VertexAICommon\",\"Embeddings\",\"VertexAIEmbeddings\"],\"display_name\":\"VertexAIEmbeddings\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/google_vertex_ai_palm\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"AmazonBedrockEmbeddings\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"credentials_profile_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"endpoint_url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"region_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"field_formatters\":{},\"beta\":true}},\"vectorstores\":{\"FAISS\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"folder_path\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"folder_path\",\"display_name\":\"Local Path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"ids\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"ids\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"index_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"index_name\",\"display_name\":\"Index Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadatas\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_kwargs\":{\"type\":\"NestedDict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"FAISS\"},\"description\":\"Construct FAISS wrapper from raw documents.\",\"base_classes\":[\"VectorStore\",\"FAISS\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"FAISS\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/faiss\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"MongoDBAtlasVectorSearch\":{\"template\":{\"collection\":{\"type\":\"Collection[MongoDBDocumentType]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"collection\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"collection_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"collection_name\",\"display_name\":\"Collection Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"db_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"db_name\",\"display_name\":\"Database Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"index_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"index_name\",\"display_name\":\"Index Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadatas\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"mongodb_atlas_cluster_uri\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"mongodb_atlas_cluster_uri\",\"display_name\":\"MongoDB Atlas Cluster URI\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_kwargs\":{\"type\":\"NestedDict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"MongoDBAtlasVectorSearch\"},\"description\":\"Construct a `MongoDB Atlas Vector Search` vector store from raw documents.\",\"base_classes\":[\"VectorStore\",\"MongoDBAtlasVectorSearch\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"MongoDB Atlas\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/mongodb_atlas\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"Pinecone\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1000,\"fileTypes\":[],\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"batch_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":32,\"fileTypes\":[],\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"ids\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"ids\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"index_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"index_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadatas\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"namespace\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"namespace\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"pinecone_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"pinecone_api_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"pinecone_env\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"pinecone_env\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"pool_threads\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":4,\"fileTypes\":[],\"password\":false,\"name\":\"pool_threads\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_kwargs\":{\"type\":\"NestedDict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"text_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"text\",\"fileTypes\":[],\"password\":true,\"name\":\"text_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"upsert_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"upsert_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"Pinecone\"},\"description\":\"Construct Pinecone wrapper from raw documents.\",\"base_classes\":[\"VectorStore\",\"Pinecone\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"Pinecone\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/pinecone\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"Qdrant\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"hnsw_config\":{\"type\":\"common_types.HnswConfigDiff\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"hnsw_config\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"init_from\":{\"type\":\"common_types.InitFrom\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"init_from\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"optimizers_config\":{\"type\":\"common_types.OptimizersConfigDiff\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"optimizers_config\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"quantization_config\":{\"type\":\"common_types.QuantizationConfig\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"quantization_config\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"wal_config\":{\"type\":\"common_types.WalConfigDiff\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"wal_config\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"api_key\",\"display_name\":\"API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"batch_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":64,\"fileTypes\":[],\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"collection_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"collection_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"content_payload_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"page_content\",\"fileTypes\":[],\"password\":false,\"name\":\"content_payload_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"distance_func\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"Cosine\",\"fileTypes\":[],\"password\":false,\"name\":\"distance_func\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"force_recreate\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"force_recreate\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"grpc_port\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":6334,\"fileTypes\":[],\"password\":false,\"name\":\"grpc_port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"host\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"host\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"https\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"https\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"ids\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"ids\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"location\":{\"type\":\"str\",\"required\":false,\"placeholder\":\":memory:\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\":memory:\",\"fileTypes\":[],\"password\":false,\"name\":\"location\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata_payload_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"metadata\",\"fileTypes\":[],\"password\":false,\"name\":\"metadata_payload_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"metadatas\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"on_disk\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"on_disk\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"on_disk_payload\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"on_disk_payload\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"path\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"path\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"port\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":6333,\"fileTypes\":[],\"password\":false,\"name\":\"port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"prefer_grpc\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"prefer_grpc\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"fileTypes\":[],\"password\":false,\"name\":\"prefix\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"replication_factor\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"replication_factor\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_kwargs\":{\"type\":\"NestedDict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"shard_number\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"shard_number\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"timeout\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"url\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"vector_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"vector_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"write_consistency_factor\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"write_consistency_factor\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"Qdrant\"},\"description\":\"Construct Qdrant wrapper from a list of texts.\",\"base_classes\":[\"VectorStore\",\"Qdrant\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"Qdrant\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/qdrant\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"SupabaseVectorStore\":{\"template\":{\"client\":{\"type\":\"supabase.client.Client\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"chunk_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":500,\"fileTypes\":[],\"password\":false,\"name\":\"chunk_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"ids\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"ids\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadatas\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"query_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"query_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_kwargs\":{\"type\":\"NestedDict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"supabase_service_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"supabase_service_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"supabase_url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"supabase_url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"table_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"table_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"SupabaseVectorStore\"},\"description\":\"Return VectorStore initialized from texts and embeddings.\",\"base_classes\":[\"VectorStore\",\"SupabaseVectorStore\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"Supabase\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/supabase\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"Weaviate\":{\"template\":{\"client\":{\"type\":\"weaviate.Client\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"relevance_score_fn\":{\"type\":\"Callable[[float], float]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"password\":false,\"name\":\"relevance_score_fn\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"batch_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"by_text\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"by_text\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client_kwargs\":{\"type\":\"code\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"client_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"index_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"index_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadatas\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_kwargs\":{\"type\":\"NestedDict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"text_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"text\",\"fileTypes\":[],\"password\":true,\"name\":\"text_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"weaviate_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"weaviate_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"weaviate_url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"http://localhost:8080\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"http://localhost:8080\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"weaviate_url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"Weaviate\"},\"description\":\"Construct Weaviate wrapper from raw documents.\",\"base_classes\":[\"VectorStore\",\"Weaviate\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"Weaviate\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/weaviate\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"Redis\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\n\\nfrom langchain.vectorstores.redis import Redis\\nfrom langchain.schema import Document\\nfrom langchain.vectorstores.base import VectorStore\\nfrom langchain.embeddings.base import Embeddings\\n\\n\\nclass RedisComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing a Vector Store using Redis.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Redis\\\"\\n    description: str = \\\"Implementation of Vector Store using Redis\\\"\\n    documentation = \\\"https://python.langchain.com/docs/integrations/vectorstores/redis\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        \\\"\\\"\\\"\\n        Builds the configuration for the component.\\n\\n        Returns:\\n        - dict: A dictionary containing the configuration options for the component.\\n        \\\"\\\"\\\"\\n        return {\\n            \\\"index_name\\\": {\\\"display_name\\\": \\\"Index Name\\\", \\\"value\\\": \\\"your_index\\\"},\\n            \\\"code\\\": {\\\"show\\\": False, \\\"display_name\\\": \\\"Code\\\"},\\n            \\\"documents\\\": {\\\"display_name\\\": \\\"Documents\\\", \\\"is_list\\\": True},\\n            \\\"embedding\\\": {\\\"display_name\\\": \\\"Embedding\\\"},\\n            \\\"redis_server_url\\\": {\\n                \\\"display_name\\\": \\\"Redis Server Connection String\\\",\\n                \\\"advanced\\\": False,\\n            },\\n            \\\"redis_index_name\\\": {\\\"display_name\\\": \\\"Redis Index\\\", \\\"advanced\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        embedding: Embeddings,\\n        redis_server_url: str,\\n        redis_index_name: str,\\n        documents: Optional[Document] = None,\\n    ) -> VectorStore:\\n        \\\"\\\"\\\"\\n        Builds the Vector Store or BaseRetriever object.\\n\\n        Args:\\n        - embedding (Embeddings): The embeddings to use for the Vector Store.\\n        - documents (Optional[Document]): The documents to use for the Vector Store.\\n        - redis_index_name (str): The name of the Redis index.\\n        - redis_server_url (str): The URL for the Redis server.\\n\\n        Returns:\\n        - VectorStore: The Vector Store object.\\n        \\\"\\\"\\\"\\n\\n        return Redis.from_documents(\\n            documents=documents,  # type: ignore\\n            embedding=embedding,\\n            redis_url=redis_server_url,\\n            index_name=redis_index_name,\\n        )\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"redis_index_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"redis_index_name\",\"display_name\":\"Redis Index\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"redis_server_url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"redis_server_url\",\"display_name\":\"Redis Server Connection String\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Implementation of Vector Store using Redis\",\"base_classes\":[\"VectorStore\"],\"display_name\":\"Redis\",\"documentation\":\"https://python.langchain.com/docs/integrations/vectorstores/redis\",\"custom_fields\":{\"documents\":null,\"embedding\":null,\"redis_index_name\":null,\"redis_server_url\":null},\"output_types\":[\"Redis\"],\"field_formatters\":{},\"beta\":true},\"Chroma\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"chroma_server_cors_allow_origins\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chroma_server_cors_allow_origins\",\"display_name\":\"Server CORS Allow Origins\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"chroma_server_grpc_port\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chroma_server_grpc_port\",\"display_name\":\"Server gRPC Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"chroma_server_host\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chroma_server_host\",\"display_name\":\"Server Host\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"chroma_server_port\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chroma_server_port\",\"display_name\":\"Server Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"chroma_server_ssl_enabled\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chroma_server_ssl_enabled\",\"display_name\":\"Server SSL Enabled\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional, Union\\nfrom langflow import CustomComponent\\n\\nfrom langchain.vectorstores import Chroma\\nfrom langchain.schema import Document\\nfrom langchain.vectorstores.base import VectorStore\\nfrom langchain.schema import BaseRetriever\\nfrom langchain.embeddings.base import Embeddings\\nimport chromadb  # type: ignore\\n\\n\\nclass ChromaComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing a Vector Store using Chroma.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Chroma\\\"\\n    description: str = \\\"Implementation of Vector Store using Chroma\\\"\\n    documentation = \\\"https://python.langchain.com/docs/integrations/vectorstores/chroma\\\"\\n    beta: bool = True\\n\\n    def build_config(self):\\n        \\\"\\\"\\\"\\n        Builds the configuration for the component.\\n\\n        Returns:\\n        - dict: A dictionary containing the configuration options for the component.\\n        \\\"\\\"\\\"\\n        return {\\n            \\\"collection_name\\\": {\\\"display_name\\\": \\\"Collection Name\\\", \\\"value\\\": \\\"langflow\\\"},\\n            \\\"persist\\\": {\\\"display_name\\\": \\\"Persist\\\"},\\n            \\\"persist_directory\\\": {\\\"display_name\\\": \\\"Persist Directory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False, \\\"display_name\\\": \\\"Code\\\"},\\n            \\\"documents\\\": {\\\"display_name\\\": \\\"Documents\\\", \\\"is_list\\\": True},\\n            \\\"embedding\\\": {\\\"display_name\\\": \\\"Embedding\\\"},\\n            \\\"chroma_server_cors_allow_origins\\\": {\\n                \\\"display_name\\\": \\\"Server CORS Allow Origins\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"chroma_server_host\\\": {\\\"display_name\\\": \\\"Server Host\\\", \\\"advanced\\\": True},\\n            \\\"chroma_server_port\\\": {\\\"display_name\\\": \\\"Server Port\\\", \\\"advanced\\\": True},\\n            \\\"chroma_server_grpc_port\\\": {\\n                \\\"display_name\\\": \\\"Server gRPC Port\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"chroma_server_ssl_enabled\\\": {\\n                \\\"display_name\\\": \\\"Server SSL Enabled\\\",\\n                \\\"advanced\\\": True,\\n            },\\n        }\\n\\n    def build(\\n        self,\\n        collection_name: str,\\n        persist: bool,\\n        chroma_server_ssl_enabled: bool,\\n        persist_directory: Optional[str] = None,\\n        embedding: Optional[Embeddings] = None,\\n        documents: Optional[Document] = None,\\n        chroma_server_cors_allow_origins: Optional[str] = None,\\n        chroma_server_host: Optional[str] = None,\\n        chroma_server_port: Optional[int] = None,\\n        chroma_server_grpc_port: Optional[int] = None,\\n    ) -> Union[VectorStore, BaseRetriever]:\\n        \\\"\\\"\\\"\\n        Builds the Vector Store or BaseRetriever object.\\n\\n        Args:\\n        - collection_name (str): The name of the collection.\\n        - persist_directory (Optional[str]): The directory to persist the Vector Store to.\\n        - chroma_server_ssl_enabled (bool): Whether to enable SSL for the Chroma server.\\n        - persist (bool): Whether to persist the Vector Store or not.\\n        - embedding (Optional[Embeddings]): The embeddings to use for the Vector Store.\\n        - documents (Optional[Document]): The documents to use for the Vector Store.\\n        - chroma_server_cors_allow_origins (Optional[str]): The CORS allow origins for the Chroma server.\\n        - chroma_server_host (Optional[str]): The host for the Chroma server.\\n        - chroma_server_port (Optional[int]): The port for the Chroma server.\\n        - chroma_server_grpc_port (Optional[int]): The gRPC port for the Chroma server.\\n\\n        Returns:\\n        - Union[VectorStore, BaseRetriever]: The Vector Store or BaseRetriever object.\\n        \\\"\\\"\\\"\\n\\n        # Chroma settings\\n        chroma_settings = None\\n\\n        if chroma_server_host is not None:\\n            chroma_settings = chromadb.config.Settings(\\n                chroma_server_cors_allow_origins=chroma_server_cors_allow_origins or None,\\n                chroma_server_host=chroma_server_host,\\n                chroma_server_port=chroma_server_port or None,\\n                chroma_server_grpc_port=chroma_server_grpc_port or None,\\n                chroma_server_ssl_enabled=chroma_server_ssl_enabled,\\n            )\\n\\n        # If documents, then we need to create a Chroma instance using .from_documents\\n        if documents is not None and embedding is not None:\\n            return Chroma.from_documents(\\n                documents=documents,  # type: ignore\\n                persist_directory=persist_directory if persist else None,\\n                collection_name=collection_name,\\n                embedding=embedding,\\n                client_settings=chroma_settings,\\n            )\\n\\n        return Chroma(persist_directory=persist_directory, client_settings=chroma_settings)\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"collection_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"langflow\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"collection_name\",\"display_name\":\"Collection Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"persist\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"persist\",\"display_name\":\"Persist\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"persist_directory\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"persist_directory\",\"display_name\":\"Persist Directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Implementation of Vector Store using Chroma\",\"base_classes\":[\"VectorStore\",\"BaseRetriever\"],\"display_name\":\"Chroma\",\"documentation\":\"https://python.langchain.com/docs/integrations/vectorstores/chroma\",\"custom_fields\":{\"chroma_server_cors_allow_origins\":null,\"chroma_server_grpc_port\":null,\"chroma_server_host\":null,\"chroma_server_port\":null,\"chroma_server_ssl_enabled\":null,\"collection_name\":null,\"documents\":null,\"embedding\":null,\"persist\":null,\"persist_directory\":null},\"output_types\":[\"Chroma\"],\"field_formatters\":{},\"beta\":true},\"pgvector\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional, List\\nfrom langflow import CustomComponent\\n\\nfrom langchain.vectorstores.pgvector import PGVector\\nfrom langchain.schema import Document\\nfrom langchain.vectorstores.base import VectorStore\\nfrom langchain.embeddings.base import Embeddings\\n\\n\\nclass PostgresqlVectorComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing a Vector Store using PostgreSQL.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"PGVector\\\"\\n    description: str = \\\"Implementation of Vector Store using PostgreSQL\\\"\\n    documentation = \\\"https://python.langchain.com/docs/integrations/vectorstores/pgvector\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        \\\"\\\"\\\"\\n        Builds the configuration for the component.\\n\\n        Returns:\\n        - dict: A dictionary containing the configuration options for the component.\\n        \\\"\\\"\\\"\\n        return {\\n            \\\"index_name\\\": {\\\"display_name\\\": \\\"Index Name\\\", \\\"value\\\": \\\"your_index\\\"},\\n            \\\"code\\\": {\\\"show\\\": True, \\\"display_name\\\": \\\"Code\\\"},\\n            \\\"documents\\\": {\\\"display_name\\\": \\\"Documents\\\", \\\"is_list\\\": True},\\n            \\\"embedding\\\": {\\\"display_name\\\": \\\"Embedding\\\"},\\n            \\\"pg_server_url\\\": {\\n                \\\"display_name\\\": \\\"PostgreSQL Server Connection String\\\",\\n                \\\"advanced\\\": False,\\n            },\\n            \\\"collection_name\\\": {\\\"display_name\\\": \\\"Table\\\", \\\"advanced\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        embedding: Embeddings,\\n        pg_server_url: str,\\n        collection_name: str,\\n        documents: Optional[List[Document]] = None,\\n    ) -> VectorStore:\\n        \\\"\\\"\\\"\\n        Builds the Vector Store or BaseRetriever object.\\n\\n        Args:\\n        - embedding (Embeddings): The embeddings to use for the Vector Store.\\n        - documents (Optional[Document]): The documents to use for the Vector Store.\\n        - collection_name (str): The name of the PG table.\\n        - pg_server_url (str): The URL for the PG server.\\n\\n        Returns:\\n        - VectorStore: The Vector Store object.\\n        \\\"\\\"\\\"\\n\\n        try:\\n            if documents is None:\\n                return PGVector.from_existing_index(\\n                    embedding=embedding,\\n                    collection_name=collection_name,\\n                    connection_string=pg_server_url,\\n                )\\n\\n            return PGVector.from_documents(\\n                embedding=embedding,\\n                documents=documents,\\n                collection_name=collection_name,\\n                connection_string=pg_server_url,\\n            )\\n        except Exception as e:\\n            raise RuntimeError(f\\\"Failed to build PGVector: {e}\\\")\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"collection_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"collection_name\",\"display_name\":\"Table\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"pg_server_url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"pg_server_url\",\"display_name\":\"PostgreSQL Server Connection String\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Implementation of Vector Store using PostgreSQL\",\"base_classes\":[],\"display_name\":\"PGVector\",\"documentation\":\"https://python.langchain.com/docs/integrations/vectorstores/pgvector\",\"custom_fields\":{\"collection_name\":null,\"documents\":null,\"embedding\":null,\"pg_server_url\":null},\"output_types\":[\"pgvector\"],\"field_formatters\":{},\"beta\":true},\"Vectara\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional, Union\\n\\nfrom langchain.schema import BaseRetriever, Document\\nfrom langchain.vectorstores import Vectara\\nfrom langchain.vectorstores.base import VectorStore\\n\\nfrom langflow import CustomComponent\\n\\n\\nclass VectaraComponent(CustomComponent):\\n    display_name: str = \\\"Vectara\\\"\\n    description: str = \\\"Implementation of Vector Store using Vectara\\\"\\n    documentation = \\\"https://python.langchain.com/docs/integrations/vectorstores/vectara\\\"\\n    beta = True\\n    # api key should be password = True\\n    field_config = {\\n        \\\"vectara_customer_id\\\": {\\\"display_name\\\": \\\"Vectara Customer ID\\\"},\\n        \\\"vectara_corpus_id\\\": {\\\"display_name\\\": \\\"Vectara Corpus ID\\\"},\\n        \\\"vectara_api_key\\\": {\\\"display_name\\\": \\\"Vectara API Key\\\", \\\"password\\\": True},\\n        \\\"code\\\": {\\\"show\\\": False},\\n        \\\"documents\\\": {\\\"display_name\\\": \\\"Documents\\\"},\\n    }\\n\\n    def build(\\n        self,\\n        vectara_customer_id: str,\\n        vectara_corpus_id: str,\\n        vectara_api_key: str,\\n        documents: Optional[Document] = None,\\n    ) -> Union[VectorStore, BaseRetriever]:\\n        # If documents, then we need to create a Vectara instance using .from_documents\\n        if documents is not None:\\n            return Vectara.from_documents(\\n                documents=documents,  # type: ignore\\n                vectara_customer_id=vectara_customer_id,\\n                vectara_corpus_id=vectara_corpus_id,\\n                vectara_api_key=vectara_api_key,\\n                source=\\\"langflow\\\",\\n            )\\n\\n        return Vectara(\\n            vectara_customer_id=vectara_customer_id,\\n            vectara_corpus_id=vectara_corpus_id,\\n            vectara_api_key=vectara_api_key,\\n            source=\\\"langflow\\\",\\n        )\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"vectara_api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"vectara_api_key\",\"display_name\":\"Vectara API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"vectara_corpus_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"vectara_corpus_id\",\"display_name\":\"Vectara Corpus ID\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"vectara_customer_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"vectara_customer_id\",\"display_name\":\"Vectara Customer ID\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Implementation of Vector Store using Vectara\",\"base_classes\":[\"VectorStore\",\"BaseRetriever\"],\"display_name\":\"Vectara\",\"documentation\":\"https://python.langchain.com/docs/integrations/vectorstores/vectara\",\"custom_fields\":{\"documents\":null,\"vectara_api_key\":null,\"vectara_corpus_id\":null,\"vectara_customer_id\":null},\"output_types\":[\"Vectara\"],\"field_formatters\":{},\"beta\":true}},\"documentloaders\":{\"AZLyricsLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"web_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"AZLyricsLoader\"},\"description\":\"Load `AZLyrics` webpages.\",\"base_classes\":[\"Document\"],\"display_name\":\"AZLyricsLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/azlyrics\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"AirbyteJSONLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".json\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"BSHTMLLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".html\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"BSHTMLLoader\"},\"description\":\"Load `HTML` files and parse them with `beautiful soup`.\",\"base_classes\":[\"Document\"],\"display_name\":\"BSHTMLLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/html\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"CSVLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".csv\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"CoNLLULoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".csv\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CoNLLULoader\"},\"description\":\"Load `CoNLL-U` files.\",\"base_classes\":[\"Document\"],\"display_name\":\"CoNLLULoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/conll-u\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"CollegeConfidentialLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"web_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CollegeConfidentialLoader\"},\"description\":\"Load `College Confidential` webpages.\",\"base_classes\":[\"Document\"],\"display_name\":\"CollegeConfidentialLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/college_confidential\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"DirectoryLoader\":{\"template\":{\"glob\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"**/*.txt\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"glob\",\"display_name\":\"glob\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"load_hidden\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"False\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"load_hidden\",\"display_name\":\"Load hidden files\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"max_concurrency\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"max_concurrency\",\"display_name\":\"Max concurrency\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"path\",\"display_name\":\"Local directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"recursive\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"True\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"recursive\",\"display_name\":\"Recursive\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"silent_errors\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"False\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"silent_errors\",\"display_name\":\"Silent errors\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"use_multithreading\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"True\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"use_multithreading\",\"display_name\":\"Use multithreading\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"DirectoryLoader\"},\"description\":\"Load from a directory.\",\"base_classes\":[\"Document\"],\"display_name\":\"DirectoryLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/file_directory\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"EverNoteLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".xml\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"EverNoteLoader\"},\"description\":\"Load from `EverNote`.\",\"base_classes\":[\"Document\"],\"display_name\":\"EverNoteLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/evernote\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"FacebookChatLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".json\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"FacebookChatLoader\"},\"description\":\"Load `Facebook Chat` messages directory dump.\",\"base_classes\":[\"Document\"],\"display_name\":\"FacebookChatLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/facebook_chat\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"GitLoader\":{\"template\":{\"branch\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"branch\",\"display_name\":\"Branch\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"clone_url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"clone_url\",\"display_name\":\"Clone URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"file_filter\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"file_filter\",\"display_name\":\"File extensions (comma-separated)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"repo_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"repo_path\",\"display_name\":\"Path to repository\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"GitLoader\"},\"description\":\"Load `Git` repository files.\",\"base_classes\":[\"Document\"],\"display_name\":\"GitLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/git\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"GitbookLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"web_page\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"web_page\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"GitbookLoader\"},\"description\":\"Load `GitBook` data.\",\"base_classes\":[\"Document\"],\"display_name\":\"GitbookLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/gitbook\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"GutenbergLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"web_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"GutenbergLoader\"},\"description\":\"Load from `Gutenberg.org`.\",\"base_classes\":[\"Document\"],\"display_name\":\"GutenbergLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/gutenberg\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"HNLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"web_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"HNLoader\"},\"description\":\"Load `Hacker News` data.\",\"base_classes\":[\"Document\"],\"display_name\":\"HNLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/hacker_news\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"IFixitLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"web_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"IFixitLoader\"},\"description\":\"Load `iFixit` repair guides, device wikis and answers.\",\"base_classes\":[\"Document\"],\"display_name\":\"IFixitLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/ifixit\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"IMSDbLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"web_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"IMSDbLoader\"},\"description\":\"Load `IMSDb` webpages.\",\"base_classes\":[\"Document\"],\"display_name\":\"IMSDbLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/imsdb\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"NotionDirectoryLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"path\",\"display_name\":\"Local directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"NotionDirectoryLoader\"},\"description\":\"Load `Notion directory` dump.\",\"base_classes\":[\"Document\"],\"display_name\":\"NotionDirectoryLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/notion\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"PyPDFLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".pdf\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"PyPDFLoader\"},\"description\":\"Load PDF using pypdf into list of documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"PyPDFLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/pdf\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"PyPDFDirectoryLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"path\",\"display_name\":\"Local directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"PyPDFDirectoryLoader\"},\"description\":\"Load a directory with `PDF` files using `pypdf` and chunks at character level.\",\"base_classes\":[\"Document\"],\"display_name\":\"PyPDFDirectoryLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/pdf\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"ReadTheDocsLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"path\",\"display_name\":\"Local directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ReadTheDocsLoader\"},\"description\":\"Load `ReadTheDocs` documentation directory.\",\"base_classes\":[\"Document\"],\"display_name\":\"ReadTheDocsLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/readthedocs_documentation\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"SRTLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".srt\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"SRTLoader\"},\"description\":\"Load `.srt` (subtitle) files.\",\"base_classes\":[\"Document\"],\"display_name\":\"SRTLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/subtitle\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"SlackDirectoryLoader\":{\"template\":{\"zip_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".zip\"],\"file_path\":\"\",\"password\":false,\"name\":\"zip_path\",\"display_name\":\"Path to zip file\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"workspace_url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"workspace_url\",\"display_name\":\"Workspace URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"SlackDirectoryLoader\"},\"description\":\"Load from a `Slack` directory dump.\",\"base_classes\":[\"Document\"],\"display_name\":\"SlackDirectoryLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/slack\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"TextLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".txt\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"TextLoader\"},\"description\":\"Load text file.\",\"base_classes\":[\"Document\"],\"display_name\":\"TextLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"UnstructuredEmailLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".eml\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"UnstructuredEmailLoader\"},\"description\":\"Load email files using `Unstructured`.\",\"base_classes\":[\"Document\"],\"display_name\":\"UnstructuredEmailLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/email\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"UnstructuredHTMLLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".html\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"UnstructuredHTMLLoader\"},\"description\":\"Load `HTML` files using `Unstructured`.\",\"base_classes\":[\"Document\"],\"display_name\":\"UnstructuredHTMLLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/html\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"UnstructuredMarkdownLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".md\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"UnstructuredMarkdownLoader\"},\"description\":\"Load `Markdown` files using `Unstructured`.\",\"base_classes\":[\"Document\"],\"display_name\":\"UnstructuredMarkdownLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/markdown\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"UnstructuredPowerPointLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".pptx\",\".ppt\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"UnstructuredPowerPointLoader\"},\"description\":\"Load `Microsoft PowerPoint` files using `Unstructured`.\",\"base_classes\":[\"Document\"],\"display_name\":\"UnstructuredPowerPointLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/microsoft_powerpoint\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"UnstructuredWordDocumentLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".docx\",\".doc\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"UnstructuredWordDocumentLoader\"},\"description\":\"Load `Microsoft Word` file using `Unstructured`.\",\"base_classes\":[\"Document\"],\"display_name\":\"UnstructuredWordDocumentLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/microsoft_word\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"WebBaseLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"web_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"WebBaseLoader\"},\"description\":\"Load HTML pages using `urllib` and parse them with `BeautifulSoup'.\",\"base_classes\":[\"Document\"],\"display_name\":\"WebBaseLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/web_base\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"FileLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[\"json\",\"txt\",\"csv\",\"jsonl\",\"html\",\"htm\",\"conllu\",\"enex\",\"msg\",\"pdf\",\"srt\",\"eml\",\"md\",\"pptx\",\"docx\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"display_name\":\"File Path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langchain.schema import Document\\n\\nfrom langflow import CustomComponent\\nfrom langflow.utils.constants import LOADERS_INFO\\n\\n\\nclass FileLoaderComponent(CustomComponent):\\n    display_name: str = \\\"File Loader\\\"\\n    description: str = \\\"Generic File Loader\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        loader_options = [\\\"Automatic\\\"] + [loader_info[\\\"name\\\"] for loader_info in LOADERS_INFO]\\n\\n        file_types = []\\n        suffixes = []\\n\\n        for loader_info in LOADERS_INFO:\\n            if \\\"allowedTypes\\\" in loader_info:\\n                file_types.extend(loader_info[\\\"allowedTypes\\\"])\\n                suffixes.extend([f\\\".{ext}\\\" for ext in loader_info[\\\"allowedTypes\\\"]])\\n\\n        return {\\n            \\\"file_path\\\": {\\n                \\\"display_name\\\": \\\"File Path\\\",\\n                \\\"required\\\": True,\\n                \\\"field_type\\\": \\\"file\\\",\\n                \\\"file_types\\\": [\\n                    \\\"json\\\",\\n                    \\\"txt\\\",\\n                    \\\"csv\\\",\\n                    \\\"jsonl\\\",\\n                    \\\"html\\\",\\n                    \\\"htm\\\",\\n                    \\\"conllu\\\",\\n                    \\\"enex\\\",\\n                    \\\"msg\\\",\\n                    \\\"pdf\\\",\\n                    \\\"srt\\\",\\n                    \\\"eml\\\",\\n                    \\\"md\\\",\\n                    \\\"pptx\\\",\\n                    \\\"docx\\\",\\n                ],\\n                \\\"suffixes\\\": [\\n                    \\\".json\\\",\\n                    \\\".txt\\\",\\n                    \\\".csv\\\",\\n                    \\\".jsonl\\\",\\n                    \\\".html\\\",\\n                    \\\".htm\\\",\\n                    \\\".conllu\\\",\\n                    \\\".enex\\\",\\n                    \\\".msg\\\",\\n                    \\\".pdf\\\",\\n                    \\\".srt\\\",\\n                    \\\".eml\\\",\\n                    \\\".md\\\",\\n                    \\\".pptx\\\",\\n                    \\\".docx\\\",\\n                ],\\n                # \\\"file_types\\\" : file_types,\\n                # \\\"suffixes\\\": suffixes,\\n            },\\n            \\\"loader\\\": {\\n                \\\"display_name\\\": \\\"Loader\\\",\\n                \\\"is_list\\\": True,\\n                \\\"required\\\": True,\\n                \\\"options\\\": loader_options,\\n                \\\"value\\\": \\\"Automatic\\\",\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(self, file_path: str, loader: str) -> Document:\\n        file_type = file_path.split(\\\".\\\")[-1]\\n\\n        # Mapeie o nome do loader selecionado para suas informações\\n        selected_loader_info = None\\n        for loader_info in LOADERS_INFO:\\n            if loader_info[\\\"name\\\"] == loader:\\n                selected_loader_info = loader_info\\n                break\\n\\n        if selected_loader_info is None and loader != \\\"Automatic\\\":\\n            raise ValueError(f\\\"Loader {loader} not found in the loader info list\\\")\\n\\n        if loader == \\\"Automatic\\\":\\n            # Determine o loader automaticamente com base na extensão do arquivo\\n            default_loader_info = None\\n            for info in LOADERS_INFO:\\n                if \\\"defaultFor\\\" in info and file_type in info[\\\"defaultFor\\\"]:\\n                    default_loader_info = info\\n                    break\\n\\n            if default_loader_info is None:\\n                raise ValueError(f\\\"No default loader found for file type: {file_type}\\\")\\n\\n            selected_loader_info = default_loader_info\\n        if isinstance(selected_loader_info, dict):\\n            loader_import: str = selected_loader_info[\\\"import\\\"]\\n        else:\\n            raise ValueError(f\\\"Loader info for {loader} is not a dict\\\\nLoader info:\\\\n{selected_loader_info}\\\")\\n        module_name, class_name = loader_import.rsplit(\\\".\\\", 1)\\n\\n        try:\\n            # Importe o loader dinamicamente\\n            loader_module = __import__(module_name, fromlist=[class_name])\\n            loader_instance = getattr(loader_module, class_name)\\n        except ImportError as e:\\n            raise ValueError(f\\\"Loader {loader} could not be imported\\\\nLoader info:\\\\n{selected_loader_info}\\\") from e\\n\\n        result = loader_instance(file_path=file_path)\\n        return result.load()\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"loader\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"Automatic\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"Automatic\",\"Airbyte JSON (.jsonl)\",\"JSON (.json)\",\"BeautifulSoup4 HTML (.html, .htm)\",\"CSV (.csv)\",\"CoNLL-U (.conllu)\",\"EverNote (.enex)\",\"Facebook Chat (.json)\",\"Outlook Message (.msg)\",\"PyPDF (.pdf)\",\"Subtitle (.str)\",\"Text (.txt)\",\"Unstructured Email (.eml)\",\"Unstructured HTML (.html, .htm)\",\"Unstructured Markdown (.md)\",\"Unstructured PowerPoint (.pptx)\",\"Unstructured Word (.docx)\"],\"name\":\"loader\",\"display_name\":\"Loader\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Generic File Loader\",\"base_classes\":[\"Document\"],\"display_name\":\"File Loader\",\"documentation\":\"\",\"custom_fields\":{\"file_path\":null,\"loader\":null},\"output_types\":[\"FileLoader\"],\"field_formatters\":{},\"beta\":true},\"UrlLoader\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import List\\n\\nfrom langchain import document_loaders\\nfrom langchain.schema import Document\\nfrom langflow import CustomComponent\\n\\n\\nclass UrlLoaderComponent(CustomComponent):\\n    display_name: str = \\\"Url Loader\\\"\\n    description: str = \\\"Generic Url Loader Component\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"web_path\\\": {\\n                \\\"display_name\\\": \\\"Url\\\",\\n                \\\"required\\\": True,\\n            },\\n            \\\"loader\\\": {\\n                \\\"display_name\\\": \\\"Loader\\\",\\n                \\\"is_list\\\": True,\\n                \\\"required\\\": True,\\n                \\\"options\\\": [\\n                    \\\"AZLyricsLoader\\\",\\n                    \\\"CollegeConfidentialLoader\\\",\\n                    \\\"GitbookLoader\\\",\\n                    \\\"HNLoader\\\",\\n                    \\\"IFixitLoader\\\",\\n                    \\\"IMSDbLoader\\\",\\n                    \\\"WebBaseLoader\\\",\\n                ],\\n                \\\"value\\\": \\\"WebBaseLoader\\\",\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(self, web_path: str, loader: str) -> List[Document]:\\n        try:\\n            loader_instance = getattr(document_loaders, loader)(web_path=web_path)\\n        except Exception as e:\\n            raise ValueError(f\\\"No loader found for: {web_path}\\\") from e\\n        docs = loader_instance.load()\\n        avg_length = sum(len(doc.page_content) for doc in docs if hasattr(doc, \\\"page_content\\\")) / len(docs)\\n        self.status = f\\\"\\\"\\\"{len(docs)} documents)\\n        \\\\nAvg. Document Length (characters): {int(avg_length)}\\n        Documents: {docs[:3]}...\\\"\\\"\\\"\\n        return docs\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"loader\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"WebBaseLoader\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"AZLyricsLoader\",\"CollegeConfidentialLoader\",\"GitbookLoader\",\"HNLoader\",\"IFixitLoader\",\"IMSDbLoader\",\"WebBaseLoader\"],\"name\":\"loader\",\"display_name\":\"Loader\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"web_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Generic Url Loader Component\",\"base_classes\":[\"Document\"],\"display_name\":\"Url Loader\",\"documentation\":\"\",\"custom_fields\":{\"loader\":null,\"web_path\":null},\"output_types\":[\"UrlLoader\"],\"field_formatters\":{},\"beta\":true}},\"textsplitters\":{\"CharacterTextSplitter\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"chunk_overlap\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":200,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chunk_overlap\",\"display_name\":\"Chunk Overlap\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"chunk_size\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1000,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chunk_size\",\"display_name\":\"Chunk Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"separator\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\\\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"separator\",\"display_name\":\"Separator\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CharacterTextSplitter\"},\"description\":\"Splitting text that looks at characters.\",\"base_classes\":[\"Document\"],\"display_name\":\"CharacterTextSplitter\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/character_text_splitter\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"LanguageRecursiveTextSplitter\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"The documents to split.\"},\"chunk_overlap\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":200,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chunk_overlap\",\"display_name\":\"Chunk Overlap\",\"advanced\":false,\"dynamic\":false,\"info\":\"The amount of overlap between chunks.\"},\"chunk_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":1000,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chunk_size\",\"display_name\":\"Chunk Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"The maximum length of each chunk.\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.text_splitter import Language\\nfrom langchain.schema import Document\\n\\n\\nclass LanguageRecursiveTextSplitterComponent(CustomComponent):\\n    display_name: str = \\\"Language Recursive Text Splitter\\\"\\n    description: str = \\\"Split text into chunks of a specified length based on language.\\\"\\n    documentation: str = \\\"https://docs.langflow.org/components/text-splitters#languagerecursivetextsplitter\\\"\\n\\n    def build_config(self):\\n        options = [x.value for x in Language]\\n        return {\\n            \\\"documents\\\": {\\n                \\\"display_name\\\": \\\"Documents\\\",\\n                \\\"info\\\": \\\"The documents to split.\\\",\\n            },\\n            \\\"separator_type\\\": {\\n                \\\"display_name\\\": \\\"Separator Type\\\",\\n                \\\"info\\\": \\\"The type of separator to use.\\\",\\n                \\\"field_type\\\": \\\"str\\\",\\n                \\\"options\\\": options,\\n                \\\"value\\\": \\\"Python\\\",\\n            },\\n            \\\"separators\\\": {\\n                \\\"display_name\\\": \\\"Separators\\\",\\n                \\\"info\\\": \\\"The characters to split on.\\\",\\n                \\\"is_list\\\": True,\\n            },\\n            \\\"chunk_size\\\": {\\n                \\\"display_name\\\": \\\"Chunk Size\\\",\\n                \\\"info\\\": \\\"The maximum length of each chunk.\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 1000,\\n            },\\n            \\\"chunk_overlap\\\": {\\n                \\\"display_name\\\": \\\"Chunk Overlap\\\",\\n                \\\"info\\\": \\\"The amount of overlap between chunks.\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 200,\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        documents: list[Document],\\n        chunk_size: Optional[int] = 1000,\\n        chunk_overlap: Optional[int] = 200,\\n        separator_type: Optional[str] = \\\"Python\\\",\\n    ) -> list[Document]:\\n        \\\"\\\"\\\"\\n        Split text into chunks of a specified length.\\n\\n        Args:\\n            separators (list[str]): The characters to split on.\\n            chunk_size (int): The maximum length of each chunk.\\n            chunk_overlap (int): The amount of overlap between chunks.\\n            length_function (function): The function to use to calculate the length of the text.\\n\\n        Returns:\\n            list[str]: The chunks of text.\\n        \\\"\\\"\\\"\\n        from langchain.text_splitter import RecursiveCharacterTextSplitter\\n\\n        # Make sure chunk_size and chunk_overlap are ints\\n        if isinstance(chunk_size, str):\\n            chunk_size = int(chunk_size)\\n        if isinstance(chunk_overlap, str):\\n            chunk_overlap = int(chunk_overlap)\\n\\n        splitter = RecursiveCharacterTextSplitter.from_language(\\n            language=Language(separator_type),\\n            chunk_size=chunk_size,\\n            chunk_overlap=chunk_overlap,\\n        )\\n\\n        docs = splitter.split_documents(documents)\\n        return docs\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"separator_type\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"value\":\"Python\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"cpp\",\"go\",\"java\",\"kotlin\",\"js\",\"ts\",\"php\",\"proto\",\"python\",\"rst\",\"ruby\",\"rust\",\"scala\",\"swift\",\"markdown\",\"latex\",\"html\",\"sol\",\"csharp\",\"cobol\"],\"name\":\"separator_type\",\"display_name\":\"Separator Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"The type of separator to use.\"},\"_type\":\"CustomComponent\"},\"description\":\"Split text into chunks of a specified length based on language.\",\"base_classes\":[\"Document\"],\"display_name\":\"Language Recursive Text Splitter\",\"documentation\":\"https://docs.langflow.org/components/text-splitters#languagerecursivetextsplitter\",\"custom_fields\":{\"chunk_overlap\":null,\"chunk_size\":null,\"documents\":null,\"separator_type\":null},\"output_types\":[\"LanguageRecursiveTextSplitter\"],\"field_formatters\":{},\"beta\":true},\"RecursiveCharacterTextSplitter\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"The documents to split.\"},\"chunk_overlap\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":200,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chunk_overlap\",\"display_name\":\"Chunk Overlap\",\"advanced\":false,\"dynamic\":false,\"info\":\"The amount of overlap between chunks.\"},\"chunk_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":1000,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chunk_size\",\"display_name\":\"Chunk Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"The maximum length of each chunk.\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.schema import Document\\nfrom langflow.utils.util import build_loader_repr_from_documents\\n\\n\\nclass RecursiveCharacterTextSplitterComponent(CustomComponent):\\n    display_name: str = \\\"Recursive Character Text Splitter\\\"\\n    description: str = \\\"Split text into chunks of a specified length.\\\"\\n    documentation: str = \\\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"documents\\\": {\\n                \\\"display_name\\\": \\\"Documents\\\",\\n                \\\"info\\\": \\\"The documents to split.\\\",\\n            },\\n            \\\"separators\\\": {\\n                \\\"display_name\\\": \\\"Separators\\\",\\n                \\\"info\\\": 'The characters to split on.\\\\nIf left empty defaults to [\\\"\\\\\\\\n\\\\\\\\n\\\", \\\"\\\\\\\\n\\\", \\\" \\\", \\\"\\\"].',\\n                \\\"is_list\\\": True,\\n            },\\n            \\\"chunk_size\\\": {\\n                \\\"display_name\\\": \\\"Chunk Size\\\",\\n                \\\"info\\\": \\\"The maximum length of each chunk.\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 1000,\\n            },\\n            \\\"chunk_overlap\\\": {\\n                \\\"display_name\\\": \\\"Chunk Overlap\\\",\\n                \\\"info\\\": \\\"The amount of overlap between chunks.\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 200,\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        documents: list[Document],\\n        separators: Optional[list[str]] = None,\\n        chunk_size: Optional[int] = 1000,\\n        chunk_overlap: Optional[int] = 200,\\n    ) -> list[Document]:\\n        \\\"\\\"\\\"\\n        Split text into chunks of a specified length.\\n\\n        Args:\\n            separators (list[str]): The characters to split on.\\n            chunk_size (int): The maximum length of each chunk.\\n            chunk_overlap (int): The amount of overlap between chunks.\\n            length_function (function): The function to use to calculate the length of the text.\\n\\n        Returns:\\n            list[str]: The chunks of text.\\n        \\\"\\\"\\\"\\n        from langchain.text_splitter import RecursiveCharacterTextSplitter\\n\\n        if separators == \\\"\\\":\\n            separators = None\\n        elif separators:\\n            # check if the separators list has escaped characters\\n            # if there are escaped characters, unescape them\\n            separators = [x.encode().decode(\\\"unicode-escape\\\") for x in separators]\\n\\n        # Make sure chunk_size and chunk_overlap are ints\\n        if isinstance(chunk_size, str):\\n            chunk_size = int(chunk_size)\\n        if isinstance(chunk_overlap, str):\\n            chunk_overlap = int(chunk_overlap)\\n        splitter = RecursiveCharacterTextSplitter(\\n            separators=separators,\\n            chunk_size=chunk_size,\\n            chunk_overlap=chunk_overlap,\\n        )\\n\\n        docs = splitter.split_documents(documents)\\n        self.repr_value = build_loader_repr_from_documents(docs)\\n        return docs\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"separators\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"separators\",\"display_name\":\"Separators\",\"advanced\":false,\"dynamic\":false,\"info\":\"The characters to split on.\\nIf left empty defaults to [\\\"\\\\n\\\\n\\\", \\\"\\\\n\\\", \\\" \\\", \\\"\\\"].\"},\"_type\":\"CustomComponent\"},\"description\":\"Split text into chunks of a specified length.\",\"base_classes\":[\"Document\"],\"display_name\":\"Recursive Character Text Splitter\",\"documentation\":\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\",\"custom_fields\":{\"chunk_overlap\":null,\"chunk_size\":null,\"documents\":null,\"separators\":null},\"output_types\":[\"RecursiveCharacterTextSplitter\"],\"field_formatters\":{},\"beta\":true}},\"utilities\":{\"BingSearchAPIWrapper\":{\"template\":{\"bing_search_url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"bing_search_url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"bing_subscription_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"bing_subscription_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"password\":false,\"name\":\"k\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"BingSearchAPIWrapper\"},\"description\":\"Wrapper for Bing Search API.\",\"base_classes\":[\"BingSearchAPIWrapper\"],\"display_name\":\"BingSearchAPIWrapper\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"GoogleSearchAPIWrapper\":{\"template\":{\"google_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"google_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"google_cse_id\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"google_cse_id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"password\":false,\"name\":\"k\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_engine\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"search_engine\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"siterestrict\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"siterestrict\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"GoogleSearchAPIWrapper\"},\"description\":\"Wrapper for Google Search API.\",\"base_classes\":[\"GoogleSearchAPIWrapper\"],\"display_name\":\"GoogleSearchAPIWrapper\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"GoogleSerperAPIWrapper\":{\"template\":{\"aiosession\":{\"type\":\"ClientSession\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"aiosession\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"gl\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"us\",\"fileTypes\":[],\"password\":false,\"name\":\"gl\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"hl\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"en\",\"fileTypes\":[],\"password\":false,\"name\":\"hl\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"password\":false,\"name\":\"k\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"result_key_for_type\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{\\n  \\\"news\\\": \\\"news\\\",\\n  \\\"places\\\": \\\"places\\\",\\n  \\\"images\\\": \\\"images\\\",\\n  \\\"search\\\": \\\"organic\\\"\\n}\",\"fileTypes\":[],\"password\":true,\"name\":\"result_key_for_type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"serper_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"serper_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tbs\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tbs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"type\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"search\",\"fileTypes\":[],\"password\":false,\"name\":\"type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"GoogleSerperAPIWrapper\"},\"description\":\"Wrapper around the Serper.dev Google Search API.\",\"base_classes\":[\"GoogleSerperAPIWrapper\"],\"display_name\":\"GoogleSerperAPIWrapper\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"SearxSearchWrapper\":{\"template\":{\"aiosession\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"aiosession\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"categories\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"value\":[],\"fileTypes\":[],\"password\":false,\"name\":\"categories\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"engines\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"value\":[],\"fileTypes\":[],\"password\":false,\"name\":\"engines\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"headers\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"fileTypes\":[],\"password\":false,\"name\":\"headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"password\":false,\"name\":\"k\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"params\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"params\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"query_suffix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"password\":false,\"name\":\"query_suffix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"searx_host\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"password\":false,\"name\":\"searx_host\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"unsecure\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"unsecure\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"SearxSearchWrapper\"},\"description\":\"Wrapper for Searx API.\",\"base_classes\":[\"SearxSearchWrapper\"],\"display_name\":\"SearxSearchWrapper\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"SerpAPIWrapper\":{\"template\":{\"aiosession\":{\"type\":\"ClientSession\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"aiosession\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"params\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"{\\n  \\\"engine\\\": \\\"google\\\",\\n  \\\"google_domain\\\": \\\"google.com\\\",\\n  \\\"gl\\\": \\\"us\\\",\\n  \\\"hl\\\": \\\"en\\\"\\n}\",\"fileTypes\":[],\"password\":false,\"name\":\"params\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_engine\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"search_engine\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"serpapi_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"serpapi_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"SerpAPIWrapper\"},\"description\":\"Wrapper around SerpAPI.\",\"base_classes\":[\"SerpAPIWrapper\"],\"display_name\":\"SerpAPIWrapper\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"WikipediaAPIWrapper\":{\"template\":{\"doc_content_chars_max\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":4000,\"fileTypes\":[],\"password\":false,\"name\":\"doc_content_chars_max\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"lang\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"en\",\"fileTypes\":[],\"password\":false,\"name\":\"lang\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"load_all_available_meta\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"load_all_available_meta\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"top_k_results\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":3,\"fileTypes\":[],\"password\":false,\"name\":\"top_k_results\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"wiki_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"wiki_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"WikipediaAPIWrapper\"},\"description\":\"Wrapper around WikipediaAPI.\",\"base_classes\":[\"WikipediaAPIWrapper\"],\"display_name\":\"WikipediaAPIWrapper\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"WolframAlphaAPIWrapper\":{\"template\":{\"wolfram_alpha_appid\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"wolfram_alpha_appid\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"wolfram_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"wolfram_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"WolframAlphaAPIWrapper\"},\"description\":\"Wrapper for Wolfram Alpha.\",\"base_classes\":[\"WolframAlphaAPIWrapper\"],\"display_name\":\"WolframAlphaAPIWrapper\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"GetRequest\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langchain.schema import Document\\nfrom langflow.services.database.models.base import orjson_dumps\\nimport requests\\nfrom typing import Optional\\n\\n\\nclass GetRequest(CustomComponent):\\n    display_name: str = \\\"GET Request\\\"\\n    description: str = \\\"Make a GET request to the given URL.\\\"\\n    output_types: list[str] = [\\\"Document\\\"]\\n    documentation: str = \\\"https://docs.langflow.org/components/utilities#get-request\\\"\\n    beta: bool = True\\n    field_config = {\\n        \\\"url\\\": {\\n            \\\"display_name\\\": \\\"URL\\\",\\n            \\\"info\\\": \\\"The URL to make the request to\\\",\\n            \\\"is_list\\\": True,\\n        },\\n        \\\"headers\\\": {\\n            \\\"display_name\\\": \\\"Headers\\\",\\n            \\\"info\\\": \\\"The headers to send with the request.\\\",\\n        },\\n        \\\"code\\\": {\\\"show\\\": False},\\n        \\\"timeout\\\": {\\n            \\\"display_name\\\": \\\"Timeout\\\",\\n            \\\"field_type\\\": \\\"int\\\",\\n            \\\"info\\\": \\\"The timeout to use for the request.\\\",\\n            \\\"value\\\": 5,\\n        },\\n    }\\n\\n    def get_document(self, session: requests.Session, url: str, headers: Optional[dict], timeout: int) -> Document:\\n        try:\\n            response = session.get(url, headers=headers, timeout=int(timeout))\\n            try:\\n                response_json = response.json()\\n                result = orjson_dumps(response_json, indent_2=False)\\n            except Exception:\\n                result = response.text\\n            self.repr_value = result\\n            return Document(\\n                page_content=result,\\n                metadata={\\n                    \\\"source\\\": url,\\n                    \\\"headers\\\": headers,\\n                    \\\"status_code\\\": response.status_code,\\n                },\\n            )\\n        except requests.Timeout:\\n            return Document(\\n                page_content=\\\"Request Timed Out\\\",\\n                metadata={\\\"source\\\": url, \\\"headers\\\": headers, \\\"status_code\\\": 408},\\n            )\\n        except Exception as exc:\\n            return Document(\\n                page_content=str(exc),\\n                metadata={\\\"source\\\": url, \\\"headers\\\": headers, \\\"status_code\\\": 500},\\n            )\\n\\n    def build(\\n        self,\\n        url: str,\\n        headers: Optional[dict] = None,\\n        timeout: int = 5,\\n    ) -> list[Document]:\\n        if headers is None:\\n            headers = {}\\n        urls = url if isinstance(url, list) else [url]\\n        with requests.Session() as session:\\n            documents = [self.get_document(session, u, headers, timeout) for u in urls]\\n            self.repr_value = documents\\n        return documents\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"headers\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"headers\",\"display_name\":\"Headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"The headers to send with the request.\"},\"timeout\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":5,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"timeout\",\"display_name\":\"Timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"The timeout to use for the request.\"},\"url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"The URL to make the request to\"},\"_type\":\"CustomComponent\"},\"description\":\"Make a GET request to the given URL.\",\"base_classes\":[\"Document\"],\"display_name\":\"GET Request\",\"documentation\":\"https://docs.langflow.org/components/utilities#get-request\",\"custom_fields\":{\"headers\":null,\"timeout\":null,\"url\":null},\"output_types\":[\"GetRequest\"],\"field_formatters\":{},\"beta\":true},\"JSONDocumentBuilder\":{\"template\":{\"document\":{\"type\":\"Document\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"document\",\"display_name\":\"Document\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"### JSON Document Builder\\n\\n# Build a Document containing a JSON object using a key and another Document page content.\\n\\n# **Params**\\n\\n# - **Key:** The key to use for the JSON object.\\n# - **Document:** The Document page to use for the JSON object.\\n\\n# **Output**\\n\\n# - **Document:** The Document containing the JSON object.\\n\\nfrom langchain.schema import Document\\nfrom langflow import CustomComponent\\nfrom langflow.services.database.models.base import orjson_dumps\\n\\n\\nclass JSONDocumentBuilder(CustomComponent):\\n    display_name: str = \\\"JSON Document Builder\\\"\\n    description: str = \\\"Build a Document containing a JSON object using a key and another Document page content.\\\"\\n    output_types: list[str] = [\\\"Document\\\"]\\n    beta = True\\n    documentation: str = \\\"https://docs.langflow.org/components/utilities#json-document-builder\\\"\\n\\n    field_config = {\\n        \\\"key\\\": {\\\"display_name\\\": \\\"Key\\\"},\\n        \\\"document\\\": {\\\"display_name\\\": \\\"Document\\\"},\\n    }\\n\\n    def build(\\n        self,\\n        key: str,\\n        document: Document,\\n    ) -> Document:\\n        documents = None\\n        if isinstance(document, list):\\n            documents = [\\n                Document(page_content=orjson_dumps({key: doc.page_content}, indent_2=False)) for doc in document\\n            ]\\n        elif isinstance(document, Document):\\n            documents = Document(page_content=orjson_dumps({key: document.page_content}, indent_2=False))\\n        else:\\n            raise TypeError(f\\\"Expected Document or list of Documents, got {type(document)}\\\")\\n        self.repr_value = documents\\n        return documents\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"key\",\"display_name\":\"Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Build a Document containing a JSON object using a key and another Document page content.\",\"base_classes\":[\"Document\"],\"display_name\":\"JSON Document Builder\",\"documentation\":\"https://docs.langflow.org/components/utilities#json-document-builder\",\"custom_fields\":{\"document\":null,\"key\":null},\"output_types\":[\"JSONDocumentBuilder\"],\"field_formatters\":{},\"beta\":true},\"UpdateRequest\":{\"template\":{\"document\":{\"type\":\"Document\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"document\",\"display_name\":\"Document\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import List, Optional\\nimport requests\\nfrom langflow import CustomComponent\\nfrom langchain.schema import Document\\nfrom langflow.services.database.models.base import orjson_dumps\\n\\n\\nclass UpdateRequest(CustomComponent):\\n    display_name: str = \\\"Update Request\\\"\\n    description: str = \\\"Make a PATCH request to the given URL.\\\"\\n    output_types: list[str] = [\\\"Document\\\"]\\n    documentation: str = \\\"https://docs.langflow.org/components/utilities#update-request\\\"\\n    beta: bool = True\\n    field_config = {\\n        \\\"url\\\": {\\\"display_name\\\": \\\"URL\\\", \\\"info\\\": \\\"The URL to make the request to.\\\"},\\n        \\\"headers\\\": {\\n            \\\"display_name\\\": \\\"Headers\\\",\\n            \\\"field_type\\\": \\\"NestedDict\\\",\\n            \\\"info\\\": \\\"The headers to send with the request.\\\",\\n        },\\n        \\\"code\\\": {\\\"show\\\": False},\\n        \\\"document\\\": {\\\"display_name\\\": \\\"Document\\\"},\\n        \\\"method\\\": {\\n            \\\"display_name\\\": \\\"Method\\\",\\n            \\\"field_type\\\": \\\"str\\\",\\n            \\\"info\\\": \\\"The HTTP method to use.\\\",\\n            \\\"options\\\": [\\\"PATCH\\\", \\\"PUT\\\"],\\n            \\\"value\\\": \\\"PATCH\\\",\\n        },\\n    }\\n\\n    def update_document(\\n        self,\\n        session: requests.Session,\\n        document: Document,\\n        url: str,\\n        headers: Optional[dict] = None,\\n        method: str = \\\"PATCH\\\",\\n    ) -> Document:\\n        try:\\n            if method == \\\"PATCH\\\":\\n                response = session.patch(url, headers=headers, data=document.page_content)\\n            elif method == \\\"PUT\\\":\\n                response = session.put(url, headers=headers, data=document.page_content)\\n            else:\\n                raise ValueError(f\\\"Unsupported method: {method}\\\")\\n            try:\\n                response_json = response.json()\\n                result = orjson_dumps(response_json, indent_2=False)\\n            except Exception:\\n                result = response.text\\n            self.repr_value = result\\n            return Document(\\n                page_content=result,\\n                metadata={\\n                    \\\"source\\\": url,\\n                    \\\"headers\\\": headers,\\n                    \\\"status_code\\\": response.status_code,\\n                },\\n            )\\n        except Exception as exc:\\n            return Document(\\n                page_content=str(exc),\\n                metadata={\\\"source\\\": url, \\\"headers\\\": headers, \\\"status_code\\\": 500},\\n            )\\n\\n    def build(\\n        self,\\n        method: str,\\n        document: Document,\\n        url: str,\\n        headers: Optional[dict] = None,\\n    ) -> List[Document]:\\n        if headers is None:\\n            headers = {}\\n\\n        if not isinstance(document, list) and isinstance(document, Document):\\n            documents: list[Document] = [document]\\n        elif isinstance(document, list) and all(isinstance(doc, Document) for doc in document):\\n            documents = document\\n        else:\\n            raise ValueError(\\\"document must be a Document or a list of Documents\\\")\\n\\n        with requests.Session() as session:\\n            documents = [self.update_document(session, doc, url, headers, method) for doc in documents]\\n            self.repr_value = documents\\n        return documents\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"headers\":{\"type\":\"NestedDict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"headers\",\"display_name\":\"Headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"The headers to send with the request.\"},\"method\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"PATCH\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"PATCH\",\"PUT\"],\"name\":\"method\",\"display_name\":\"Method\",\"advanced\":false,\"dynamic\":false,\"info\":\"The HTTP method to use.\"},\"url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"The URL to make the request to.\"},\"_type\":\"CustomComponent\"},\"description\":\"Make a PATCH request to the given URL.\",\"base_classes\":[\"Document\"],\"display_name\":\"Update Request\",\"documentation\":\"https://docs.langflow.org/components/utilities#update-request\",\"custom_fields\":{\"document\":null,\"headers\":null,\"method\":null,\"url\":null},\"output_types\":[\"UpdateRequest\"],\"field_formatters\":{},\"beta\":true},\"PostRequest\":{\"template\":{\"document\":{\"type\":\"Document\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"document\",\"display_name\":\"Document\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langchain.schema import Document\\nfrom langflow.services.database.models.base import orjson_dumps\\nimport requests\\nfrom typing import Optional\\n\\n\\nclass PostRequest(CustomComponent):\\n    display_name: str = \\\"POST Request\\\"\\n    description: str = \\\"Make a POST request to the given URL.\\\"\\n    output_types: list[str] = [\\\"Document\\\"]\\n    documentation: str = \\\"https://docs.langflow.org/components/utilities#post-request\\\"\\n    beta: bool = True\\n    field_config = {\\n        \\\"url\\\": {\\\"display_name\\\": \\\"URL\\\", \\\"info\\\": \\\"The URL to make the request to.\\\"},\\n        \\\"headers\\\": {\\n            \\\"display_name\\\": \\\"Headers\\\",\\n            \\\"info\\\": \\\"The headers to send with the request.\\\",\\n        },\\n        \\\"code\\\": {\\\"show\\\": False},\\n        \\\"document\\\": {\\\"display_name\\\": \\\"Document\\\"},\\n    }\\n\\n    def post_document(\\n        self,\\n        session: requests.Session,\\n        document: Document,\\n        url: str,\\n        headers: Optional[dict] = None,\\n    ) -> Document:\\n        try:\\n            response = session.post(url, headers=headers, data=document.page_content)\\n            try:\\n                response_json = response.json()\\n                result = orjson_dumps(response_json, indent_2=False)\\n            except Exception:\\n                result = response.text\\n            self.repr_value = result\\n            return Document(\\n                page_content=result,\\n                metadata={\\n                    \\\"source\\\": url,\\n                    \\\"headers\\\": headers,\\n                    \\\"status_code\\\": response,\\n                },\\n            )\\n        except Exception as exc:\\n            return Document(\\n                page_content=str(exc),\\n                metadata={\\n                    \\\"source\\\": url,\\n                    \\\"headers\\\": headers,\\n                    \\\"status_code\\\": 500,\\n                },\\n            )\\n\\n    def build(\\n        self,\\n        document: Document,\\n        url: str,\\n        headers: Optional[dict] = None,\\n    ) -> list[Document]:\\n        if headers is None:\\n            headers = {}\\n\\n        if not isinstance(document, list) and isinstance(document, Document):\\n            documents: list[Document] = [document]\\n        elif isinstance(document, list) and all(isinstance(doc, Document) for doc in document):\\n            documents = document\\n        else:\\n            raise ValueError(\\\"document must be a Document or a list of Documents\\\")\\n\\n        with requests.Session() as session:\\n            documents = [self.post_document(session, doc, url, headers) for doc in documents]\\n            self.repr_value = documents\\n        return documents\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"headers\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"headers\",\"display_name\":\"Headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"The headers to send with the request.\"},\"url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"The URL to make the request to.\"},\"_type\":\"CustomComponent\"},\"description\":\"Make a POST request to the given URL.\",\"base_classes\":[\"Document\"],\"display_name\":\"POST Request\",\"documentation\":\"https://docs.langflow.org/components/utilities#post-request\",\"custom_fields\":{\"document\":null,\"headers\":null,\"url\":null},\"output_types\":[\"PostRequest\"],\"field_formatters\":{},\"beta\":true}},\"output_parsers\":{\"ResponseSchema\":{\"template\":{\"description\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"fileTypes\":[],\"password\":false,\"name\":\"description\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"type\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"string\",\"fileTypes\":[],\"password\":false,\"name\":\"type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ResponseSchema\"},\"description\":\"A schema for a response from a structured output parser.\",\"base_classes\":[\"ResponseSchema\"],\"display_name\":\"ResponseSchema\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/output_parsers/structured\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"StructuredOutputParser\":{\"template\":{\"response_schemas\":{\"type\":\"ResponseSchema\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"response_schemas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"StructuredOutputParser\"},\"description\":\"\",\"base_classes\":[\"BaseLLMOutputParser\",\"BaseOutputParser\",\"StructuredOutputParser\"],\"display_name\":\"StructuredOutputParser\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/output_parsers/structured\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false}},\"retrievers\":{\"MultiQueryRetriever\":{\"template\":{\"llm\":{\"type\":\"BaseLLM\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"prompt\":{\"type\":\"PromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{\"input_variables\":[\"question\"],\"input_types\":{},\"output_parser\":null,\"partial_variables\":{},\"template\":\"You are an AI language model assistant. Your task is \\n    to generate 3 different versions of the given user \\n    question to retrieve relevant documents from a vector  database. \\n    By generating multiple perspectives on the user question, \\n    your goal is to help the user overcome some of the limitations \\n    of distance-based similarity search. Provide these alternative \\n    questions separated by newlines. Original question: {question}\",\"template_format\":\"f-string\",\"validate_template\":false},\"fileTypes\":[],\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"retriever\":{\"type\":\"BaseRetriever\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"include_original\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"include_original\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"parser_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"lines\",\"fileTypes\":[],\"password\":false,\"name\":\"parser_key\",\"display_name\":\"Parser Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"MultiQueryRetriever\"},\"description\":\"Initialize from llm using default template.\",\"base_classes\":[\"MultiQueryRetriever\",\"BaseRetriever\"],\"display_name\":\"MultiQueryRetriever\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/retrievers/how_to/MultiQueryRetriever\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"AmazonKendra\":{\"template\":{\"attribute_filter\":{\"type\":\"code\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"attribute_filter\",\"display_name\":\"Attribute Filter\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.retrievers import AmazonKendraRetriever\\nfrom langchain.schema import BaseRetriever\\n\\n\\nclass AmazonKendraRetrieverComponent(CustomComponent):\\n    display_name: str = \\\"Amazon Kendra Retriever\\\"\\n    description: str = \\\"Retriever that uses the Amazon Kendra API.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"index_id\\\": {\\\"display_name\\\": \\\"Index ID\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"Region Name\\\"},\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"attribute_filter\\\": {\\n                \\\"display_name\\\": \\\"Attribute Filter\\\",\\n                \\\"field_type\\\": \\\"code\\\",\\n            },\\n            \\\"top_k\\\": {\\\"display_name\\\": \\\"Top K\\\", \\\"field_type\\\": \\\"int\\\"},\\n            \\\"user_context\\\": {\\n                \\\"display_name\\\": \\\"User Context\\\",\\n                \\\"field_type\\\": \\\"code\\\",\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        index_id: str,\\n        top_k: int = 3,\\n        region_name: Optional[str] = None,\\n        credentials_profile_name: Optional[str] = None,\\n        attribute_filter: Optional[dict] = None,\\n        user_context: Optional[dict] = None,\\n    ) -> BaseRetriever:\\n        try:\\n            output = AmazonKendraRetriever(\\n                index_id=index_id,\\n                top_k=top_k,\\n                region_name=region_name,\\n                credentials_profile_name=credentials_profile_name,\\n                attribute_filter=attribute_filter,\\n                user_context=user_context,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonKendra API.\\\") from e\\n        return output\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"credentials_profile_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"index_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"index_id\",\"display_name\":\"Index ID\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"region_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"region_name\",\"display_name\":\"Region Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"top_k\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":3,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_k\",\"display_name\":\"Top K\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"user_context\":{\"type\":\"code\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"user_context\",\"display_name\":\"User Context\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Retriever that uses the Amazon Kendra API.\",\"base_classes\":[\"BaseRetriever\"],\"display_name\":\"Amazon Kendra Retriever\",\"documentation\":\"\",\"custom_fields\":{\"attribute_filter\":null,\"credentials_profile_name\":null,\"index_id\":null,\"region_name\":null,\"top_k\":null,\"user_context\":null},\"output_types\":[\"AmazonKendra\"],\"field_formatters\":{},\"beta\":true},\"MetalRetriever\":{\"template\":{\"api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_key\",\"display_name\":\"API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"client_id\",\"display_name\":\"Client ID\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.retrievers import MetalRetriever\\nfrom langchain.schema import BaseRetriever\\nfrom metal_sdk.metal import Metal  # type: ignore\\n\\n\\nclass MetalRetrieverComponent(CustomComponent):\\n    display_name: str = \\\"Metal Retriever\\\"\\n    description: str = \\\"Retriever that uses the Metal API.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"api_key\\\": {\\\"display_name\\\": \\\"API Key\\\", \\\"password\\\": True},\\n            \\\"client_id\\\": {\\\"display_name\\\": \\\"Client ID\\\", \\\"password\\\": True},\\n            \\\"index_id\\\": {\\\"display_name\\\": \\\"Index ID\\\"},\\n            \\\"params\\\": {\\\"display_name\\\": \\\"Parameters\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(self, api_key: str, client_id: str, index_id: str, params: Optional[dict] = None) -> BaseRetriever:\\n        try:\\n            metal = Metal(api_key=api_key, client_id=client_id, index_id=index_id)\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to Metal API.\\\") from e\\n        return MetalRetriever(client=metal, params=params or {})\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"index_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"index_id\",\"display_name\":\"Index ID\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"params\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"params\",\"display_name\":\"Parameters\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Retriever that uses the Metal API.\",\"base_classes\":[\"BaseRetriever\"],\"display_name\":\"Metal Retriever\",\"documentation\":\"\",\"custom_fields\":{\"api_key\":null,\"client_id\":null,\"index_id\":null,\"params\":null},\"output_types\":[\"MetalRetriever\"],\"field_formatters\":{},\"beta\":true}},\"custom_components\":{\"CustomComponent\":{\"template\":{\"param\":{\"type\":\"Data\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"param\",\"display_name\":\"Parameter\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\n\\nclass Component(CustomComponent):\\n    documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n    def build_config(self):\\n        return {\\\"param\\\": {\\\"display_name\\\": \\\"Parameter\\\"}}\\n\\n    def build(self, param: Data) -> Data:\\n        return param\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"base_classes\":[\"Data\"],\"display_name\":\"CustomComponent\",\"documentation\":\"http://docs.langflow.org/components/custom\",\"custom_fields\":{\"param\":null},\"output_types\":[\"CustomComponent\"],\"field_formatters\":{},\"beta\":true}}}"
-          },
-          "headersSize": -1,
-          "bodySize": -1,
-          "redirectURL": ""
-        },
-        "cache": {},
-        "timings": { "send": -1, "wait": -1, "receive": 0.901 }
-      },
-      {
-        "startedDateTime": "2023-12-11T18:54:58.423Z",
-        "time": 0.527,
-        "request": {
-          "method": "GET",
-          "url": "http://localhost:3000/api/v1/auto_login",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Accept", "value": "application/json, text/plain, */*" },
-            { "name": "Accept-Encoding", "value": "gzip, deflate, br" },
-            { "name": "Accept-Language", "value": "en-US,en;q=0.9" },
-            { "name": "Authorization", "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20" },
-            { "name": "Connection", "value": "keep-alive" },
-            { "name": "Cookie", "value": "access_token_lf=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20; refresh_tkn_lflw=auto" },
-            { "name": "Host", "value": "localhost:3000" },
-            { "name": "Referer", "value": "http://localhost:3000/flows" },
-            { "name": "Sec-Fetch-Dest", "value": "empty" },
-            { "name": "Sec-Fetch-Mode", "value": "cors" },
-            { "name": "Sec-Fetch-Site", "value": "same-origin" },
-            { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" },
-            { "name": "sec-ch-ua", "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" },
-            { "name": "sec-ch-ua-mobile", "value": "?0" },
-            { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
-          ],
-          "queryString": [],
-          "headersSize": -1,
-          "bodySize": -1
-        },
-        "response": {
-          "status": 200,
-          "statusText": "OK",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Access-Control-Allow-Origin", "value": "*" },
-            { "name": "connection", "value": "close" },
-            { "name": "content-length", "value": "227" },
-            { "name": "content-type", "value": "application/json" },
-            { "name": "date", "value": "Mon, 11 Dec 2023 18:54:58 GMT" },
-            { "name": "server", "value": "uvicorn" }
-          ],
-          "content": {
-            "size": -1,
-            "mimeType": "application/json",
-            "text": "{\"access_token\":\"eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20\",\"refresh_token\":null,\"token_type\":\"bearer\"}"
-          },
-          "headersSize": -1,
-          "bodySize": -1,
-          "redirectURL": ""
-        },
-        "cache": {},
-        "timings": { "send": -1, "wait": -1, "receive": 0.527 }
-      },
-      {
-        "startedDateTime": "2023-12-11T18:55:08.881Z",
-        "time": 0.635,
-        "request": {
-          "method": "GET",
-          "url": "http://localhost:3000/api/v1/build/2920dde2-5c24-4fe0-9c06-ef86b5a16a99/status",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Accept", "value": "application/json, text/plain, */*" },
-            { "name": "Accept-Encoding", "value": "gzip, deflate, br" },
-            { "name": "Accept-Language", "value": "en-US,en;q=0.9" },
-            { "name": "Authorization", "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20" },
-            { "name": "Connection", "value": "keep-alive" },
-            { "name": "Cookie", "value": "access_token_lf=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20; refresh_tkn_lflw=auto" },
-            { "name": "Host", "value": "localhost:3000" },
-            { "name": "Referer", "value": "http://localhost:3000/flow/2920dde2-5c24-4fe0-9c06-ef86b5a16a99" },
-            { "name": "Sec-Fetch-Dest", "value": "empty" },
-            { "name": "Sec-Fetch-Mode", "value": "cors" },
-            { "name": "Sec-Fetch-Site", "value": "same-origin" },
-            { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" },
-            { "name": "sec-ch-ua", "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" },
-            { "name": "sec-ch-ua-mobile", "value": "?0" },
-            { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
-          ],
-          "queryString": [],
-          "headersSize": -1,
-          "bodySize": -1
-        },
-        "response": {
-          "status": 200,
-          "statusText": "OK",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Access-Control-Allow-Origin", "value": "*" },
-            { "name": "connection", "value": "close" },
-            { "name": "content-length", "value": "15" },
-            { "name": "content-type", "value": "application/json" },
-            { "name": "date", "value": "Mon, 11 Dec 2023 18:55:08 GMT" },
-            { "name": "server", "value": "uvicorn" }
-          ],
-          "content": {
-            "size": -1,
-            "mimeType": "application/json",
-            "text": "{\"built\":false}"
-          },
-          "headersSize": -1,
-          "bodySize": -1,
-          "redirectURL": ""
-        },
-        "cache": {},
-        "timings": { "send": -1, "wait": -1, "receive": 0.635 }
-      },
-      {
-        "startedDateTime": "2023-12-11T18:55:08.881Z",
-        "time": 1.309,
-        "request": {
-          "method": "GET",
-          "url": "http://localhost:3000/api/v1/flows/",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Accept", "value": "application/json, text/plain, */*" },
-            { "name": "Accept-Encoding", "value": "gzip, deflate, br" },
-            { "name": "Accept-Language", "value": "en-US,en;q=0.9" },
-            { "name": "Authorization", "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20" },
-            { "name": "Connection", "value": "keep-alive" },
-            { "name": "Cookie", "value": "access_token_lf=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20; refresh_tkn_lflw=auto" },
-            { "name": "Host", "value": "localhost:3000" },
-            { "name": "Referer", "value": "http://localhost:3000/flow/2920dde2-5c24-4fe0-9c06-ef86b5a16a99" },
-            { "name": "Sec-Fetch-Dest", "value": "empty" },
-            { "name": "Sec-Fetch-Mode", "value": "cors" },
-            { "name": "Sec-Fetch-Site", "value": "same-origin" },
-            { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" },
-            { "name": "sec-ch-ua", "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" },
-            { "name": "sec-ch-ua-mobile", "value": "?0" },
-            { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
-          ],
-          "queryString": [],
-          "headersSize": -1,
-          "bodySize": -1
-        },
-        "response": {
-          "status": 200,
-          "statusText": "OK",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Access-Control-Allow-Origin", "value": "*" },
-            { "name": "connection", "value": "close" },
-            { "name": "content-length", "value": "375696" },
-            { "name": "content-type", "value": "application/json" },
-            { "name": "date", "value": "Mon, 11 Dec 2023 18:55:08 GMT" },
-            { "name": "server", "value": "uvicorn" }
-          ],
-          "content": {
-            "size": -1,
-            "mimeType": "application/json",
-            "text": "[{\"name\":\"Awesome Euclid\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":374,\"id\":\"PromptTemplate-m2yFu\",\"type\":\"genericNode\",\"position\":{\"x\":462.6456058272081,\"y\":1033.9314297130313},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"transcription\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"create an image prompt based on the song's lyrics to be used as the album cover of this song:\\n\\nlyrics:\\n{transcription}\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"transcription\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"transcription\",\"display_name\":\"transcription\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"PromptTemplate\",\"StringPromptTemplate\",\"BasePromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"transcription\"],\"template\":[\"transcription\",\"question\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-m2yFu\"},\"selected\":false,\"positionAbsolute\":{\"x\":462.6456058272081,\"y\":1033.9314297130313},\"dragging\":false},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-urapv\",\"type\":\"genericNode\",\"position\":{\"x\":189.94856095084924,\"y\":-85.06556385338186},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-urapv\"},\"selected\":false,\"positionAbsolute\":{\"x\":189.94856095084924,\"y\":-85.06556385338186},\"dragging\":false},{\"width\":384,\"height\":806,\"id\":\"CustomComponent-IEIUl\",\"type\":\"genericNode\",\"position\":{\"x\":2364.865919667005,\"y\":88.43094097025096},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nfrom platformdirs import user_cache_dir\\nimport base64\\nfrom PIL import Image\\nfrom io import BytesIO\\nfrom openai import OpenAI\\nfrom pathlib import Path\\n\\nclass Component(CustomComponent):\\n    display_name: str = \\\"Image generator\\\"\\n    description: str = \\\"generate images using Dall-E\\\"\\n    documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n    def build_config(self):\\n        return {\\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\",\\\"input_types\\\":[\\\"str\\\"]},\\n        \\\"api_key\\\":{\\\"display_name\\\":\\\"OpenAI API key\\\",\\\"password\\\":True},\\n        \\\"model\\\":{\\\"display_name\\\":\\\"Model name\\\",\\\"advanced\\\":True,\\\"options\\\":[\\\"dall-e-2\\\",\\\"dall-e-3\\\"], \\\"value\\\":\\\"dall-e-3\\\"},\\n        \\\"file_name\\\":{\\\"display_name\\\":\\\"File Name\\\"},\\n        \\\"output_format\\\":{\\\"display_name\\\":\\\"Output format\\\",\\\"options\\\":[\\\"jpeg\\\",\\\"png\\\"],\\\"value\\\":\\\"jpeg\\\"},\\n        \\\"width\\\":{\\\"display_name\\\":\\\"Width\\\" ,\\\"value\\\":1024},\\n        \\\"height\\\":{\\\"display_name\\\":\\\"Height\\\", \\\"value\\\":1024}\\n        }\\n\\n    def build(self, prompt:str,api_key:str,model:str,file_name:str,output_format:str,width:int,height:int):\\n        client = OpenAI(api_key=api_key)\\n        cache_dir = Path(user_cache_dir(\\\"langflow\\\"))\\n        images_dir = cache_dir / \\\"images\\\"\\n        images_dir.mkdir(parents=True, exist_ok=True)\\n        image_path = images_dir / f\\\"{file_name}.{output_format}\\\"\\n        response = client.images.generate(\\n          model=model,\\n          prompt=prompt,\\n          size=f\\\"{height}x{width}\\\",\\n          response_format=\\\"b64_json\\\",\\n          n=1,\\n        )\\n        # Decode base64-encoded image string\\n        binary_data = base64.b64decode(response.data[0].b64_json)\\n        # Create PIL Image object from binary image data\\n        image_pil = Image.open(BytesIO(binary_data))\\n        image_pil.save(image_path, format=output_format.upper())\\n        return \\\"\\\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"api_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"api_key\",\"display_name\":\"OpenAI API key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"file_name\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"file_name\",\"display_name\":\"File Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"album\"},\"height\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1024,\"password\":false,\"name\":\"height\",\"display_name\":\"Height\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"dall-e-3\",\"password\":false,\"options\":[\"dall-e-2\",\"dall-e-3\"],\"name\":\"model\",\"display_name\":\"Model name\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"output_format\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"jpeg\",\"password\":false,\"options\":[\"jpeg\",\"png\"],\"name\":\"output_format\",\"display_name\":\"Output format\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"input_types\":[\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"width\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1024,\"password\":false,\"name\":\"width\",\"display_name\":\"Width\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false}},\"description\":\"generate images using Dall-E\",\"base_classes\":[\"Data\"],\"display_name\":\"Image generator\",\"custom_fields\":{\"api_key\":null,\"file_name\":null,\"height\":null,\"model\":null,\"output_format\":null,\"prompt\":null,\"width\":null},\"output_types\":[\"Data\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-IEIUl\"},\"selected\":false,\"positionAbsolute\":{\"x\":2364.865919667005,\"y\":88.43094097025096}},{\"width\":384,\"height\":338,\"id\":\"LLMChain-KlJb3\",\"type\":\"genericNode\",\"position\":{\"x\":1242.9851164540805,\"y\":-139.74634696823108},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-KlJb3\"},\"selected\":false,\"positionAbsolute\":{\"x\":1242.9851164540805,\"y\":-139.74634696823108},\"dragging\":false},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-bCuc0\",\"type\":\"genericNode\",\"position\":{\"x\":1747.8107777342625,\"y\":319.13729017446667},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\n\\nclass Component(CustomComponent):\\n    display_name: str = \\\"Custom Component\\\"\\n    description: str = \\\"Create any custom component you want!\\\"\\n    documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n    def build_config(self):\\n        return {\\\"param\\\": {\\\"display_name\\\": \\\"Parameter\\\"}}\\n\\n    def build(self, param: Chain) -> str:\\n        result = param.run({})\\n        self.status = result\\n        return result\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"param\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"param\",\"display_name\":\"Parameter\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Chain\",\"list\":false}},\"description\":\"Create any custom component you want!\",\"base_classes\":[\"str\"],\"display_name\":\"Custom Component\",\"custom_fields\":{\"param\":null},\"output_types\":[\"str\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-bCuc0\"},\"selected\":false,\"positionAbsolute\":{\"x\":1747.8107777342625,\"y\":319.13729017446667}}],\"edges\":[{\"source\":\"LLMChain-KlJb3\",\"target\":\"CustomComponent-bCuc0\",\"sourceHandle\":\"{œbaseClassesœ:[œChainœ,œCallableœ],œdataTypeœ:œLLMChainœ,œidœ:œLLMChain-KlJb3œ}\",\"targetHandle\":\"{œfieldNameœ:œparamœ,œidœ:œCustomComponent-bCuc0œ,œinputTypesœ:null,œtypeœ:œChainœ}\",\"id\":\"reactflow__edge-LLMChain-KlJb3{œbaseClassesœ:[œChainœ,œCallableœ],œdataTypeœ:œLLMChainœ,œidœ:œLLMChain-KlJb3œ}-CustomComponent-bCuc0{œfieldNameœ:œparamœ,œidœ:œCustomComponent-bCuc0œ,œinputTypesœ:null,œtypeœ:œChainœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"param\",\"id\":\"CustomComponent-bCuc0\",\"inputTypes\":null,\"type\":\"Chain\"},\"sourceHandle\":{\"baseClasses\":[\"Chain\",\"Callable\"],\"dataType\":\"LLMChain\",\"id\":\"LLMChain-KlJb3\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"ChatOpenAI-urapv\",\"target\":\"LLMChain-KlJb3\",\"sourceHandle\":\"{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-urapvœ}\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"id\":\"reactflow__edge-ChatOpenAI-urapv{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-urapvœ}-LLMChain-KlJb3{œfieldNameœ:œllmœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-KlJb3\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-urapv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"PromptTemplate-m2yFu\",\"target\":\"LLMChain-KlJb3\",\"sourceHandle\":\"{œbaseClassesœ:[œPromptTemplateœ,œStringPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-m2yFuœ}\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"id\":\"reactflow__edge-PromptTemplate-m2yFu{œbaseClassesœ:[œPromptTemplateœ,œStringPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-m2yFuœ}-LLMChain-KlJb3{œfieldNameœ:œpromptœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-KlJb3\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"PromptTemplate\",\"StringPromptTemplate\",\"BasePromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-m2yFu\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"CustomComponent-bCuc0\",\"target\":\"CustomComponent-IEIUl\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-bCuc0œ}\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œCustomComponent-IEIUlœ,œinputTypesœ:[œstrœ],œtypeœ:œstrœ}\",\"id\":\"reactflow__edge-CustomComponent-bCuc0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-bCuc0œ}-CustomComponent-IEIUl{œfieldNameœ:œpromptœ,œidœ:œCustomComponent-IEIUlœ,œinputTypesœ:[œstrœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"CustomComponent-IEIUl\",\"inputTypes\":[\"str\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-bCuc0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"selected\":false}],\"viewport\":{\"x\":92.23454077990459,\"y\":183.8125619056221,\"zoom\":0.6070974421975234}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:33:18.503954\",\"folder\":null,\"id\":\"fe142ce5-32dc-4955-b186-672ced662f13\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Darwin\",\"description\":\"Conversation Catalyst Engine.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":626,\"id\":\"OpenAI-3ZVDh\",\"type\":\"genericNode\",\"position\":{\"x\":-4.0041891741949485,\"y\":-114.02615182719649},\"data\":{\"type\":\"OpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"batch_size\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":20,\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"best_of\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"best_of\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"frequency_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"frequency_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"logit_bias\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"logit_bias\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":256,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-davinci-003\",\"password\":false,\"options\":[\"text-davinci-003\",\"text-davinci-002\",\"text-curie-001\",\"text-babbage-001\",\"text-ada-001\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"presence_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"presence_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"top_p\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"top_p\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"OpenAI\"},\"description\":\"OpenAI large language models.\",\"base_classes\":[\"OpenAI\",\"BaseLLM\",\"BaseOpenAI\",\"BaseLanguageModel\"],\"display_name\":\"OpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAI-3ZVDh\"},\"selected\":true,\"positionAbsolute\":{\"x\":-4.0041891741949485,\"y\":-114.02615182719649},\"dragging\":false},{\"width\":384,\"height\":338,\"id\":\"LLMChain-RFYXY\",\"type\":\"genericNode\",\"position\":{\"x\":586.672100458868,\"y\":10.967049167706678},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-RFYXY\"},\"positionAbsolute\":{\"x\":586.672100458868,\"y\":10.967049167706678}},{\"width\":384,\"height\":242,\"id\":\"ChatPromptTemplate-ce1sg\",\"type\":\"genericNode\",\"position\":{\"x\":395.598984452791,\"y\":612.188491773035},\"data\":{\"type\":\"ChatPromptTemplate\",\"node\":{\"template\":{\"messages\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"messages\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseMessagePromptTemplate\",\"list\":true},\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatPromptTemplate\"},\"description\":\"A prompt template for chat models.\",\"base_classes\":[\"ChatPromptTemplate\",\"BaseChatPromptTemplate\",\"BasePromptTemplate\"],\"display_name\":\"ChatPromptTemplate\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/how_to/prompts\",\"beta\":false,\"error\":null},\"id\":\"ChatPromptTemplate-ce1sg\"},\"selected\":false,\"positionAbsolute\":{\"x\":395.598984452791,\"y\":612.188491773035},\"dragging\":false}],\"edges\":[{\"source\":\"OpenAI-3ZVDh\",\"sourceHandle\":\"{œbaseClassesœ:[œOpenAIœ,œBaseLLMœ,œBaseOpenAIœ,œBaseLanguageModelœ],œdataTypeœ:œOpenAIœ,œidœ:œOpenAI-3ZVDhœ}\",\"target\":\"LLMChain-RFYXY\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-RFYXY\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"OpenAI\",\"BaseLLM\",\"BaseOpenAI\",\"BaseLanguageModel\"],\"dataType\":\"OpenAI\",\"id\":\"OpenAI-3ZVDh\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-OpenAI-3ZVDh{œbaseClassesœ:[œOpenAIœ,œBaseLLMœ,œBaseOpenAIœ,œBaseLanguageModelœ],œdataTypeœ:œOpenAIœ,œidœ:œOpenAI-3ZVDhœ}-LLMChain-RFYXY{œfieldNameœ:œllmœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\"},{\"source\":\"ChatPromptTemplate-ce1sg\",\"sourceHandle\":\"{œbaseClassesœ:[œChatPromptTemplateœ,œBaseChatPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œChatPromptTemplateœ,œidœ:œChatPromptTemplate-ce1sgœ}\",\"target\":\"LLMChain-RFYXY\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-RFYXY\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"ChatPromptTemplate\",\"BaseChatPromptTemplate\",\"BasePromptTemplate\"],\"dataType\":\"ChatPromptTemplate\",\"id\":\"ChatPromptTemplate-ce1sg\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatPromptTemplate-ce1sg{œbaseClassesœ:[œChatPromptTemplateœ,œBaseChatPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œChatPromptTemplateœ,œidœ:œChatPromptTemplate-ce1sgœ}-LLMChain-RFYXY{œfieldNameœ:œpromptœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":8.832868402772647,\"y\":189.85443326477025,\"zoom\":0.6070974421975235}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:50:19.584160\",\"folder\":null,\"id\":\"103766f0-1f50-427a-9ba7-2ab73343c524\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Perky Easley\",\"description\":\"Your Toolkit for Text Generation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-VPh47\",\"type\":\"genericNode\",\"position\":{\"x\":-328.5742193020408,\"y\":-420.1025929438987},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-3.5-turbo\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseChatModel\",\"ChatOpenAI\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-VPh47\"},\"selected\":false,\"positionAbsolute\":{\"x\":-328.5742193020408,\"y\":-420.1025929438987},\"dragging\":false},{\"width\":384,\"height\":338,\"id\":\"LLMChain-NgFyo\",\"type\":\"genericNode\",\"position\":{\"x\":225.3113389084088,\"y\":-193.3520019494289},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-NgFyo\"},\"selected\":false,\"positionAbsolute\":{\"x\":225.3113389084088,\"y\":-193.3520019494289},\"dragging\":false},{\"width\":384,\"height\":374,\"id\":\"PromptTemplate-oAFjh\",\"type\":\"genericNode\",\"position\":{\"x\":-342.62522294052764,\"y\":391.20629510686103},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"links\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Answer everything with links\\n{links}\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"links\",\"display_name\":\"links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"BasePromptTemplate\",\"StringPromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"links\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-oAFjh\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-342.62522294052764,\"y\":391.20629510686103}}],\"edges\":[{\"source\":\"ChatOpenAI-VPh47\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VPh47œ}\",\"target\":\"LLMChain-NgFyo\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-NgFyo\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseChatModel\",\"ChatOpenAI\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-VPh47\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-VPh47{œbaseClassesœ:[œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VPh47œ}-LLMChain-NgFyo{œfieldNameœ:œllmœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\"},{\"source\":\"PromptTemplate-oAFjh\",\"sourceHandle\":\"{œbaseClassesœ:[œBasePromptTemplateœ,œStringPromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-oAFjhœ}\",\"target\":\"LLMChain-NgFyo\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-NgFyo\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"BasePromptTemplate\",\"StringPromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-oAFjh\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-PromptTemplate-oAFjh{œbaseClassesœ:[œBasePromptTemplateœ,œStringPromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-oAFjhœ}-LLMChain-NgFyo{œfieldNameœ:œpromptœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":338.6546182690814,\"y\":53.026340800283265,\"zoom\":0.7169776240079143}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:53:25.148460\",\"folder\":null,\"id\":\"a794fc48-5e9b-42a3-924f-7fe610500035\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"(D) Basic Chat (1) (4)\",\"description\":\"Simplest possible chat model\",\"data\":{\"nodes\":[{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-fBcfh\",\"type\":\"genericNode\",\"position\":{\"x\":228.87326389541306,\"y\":465.8628482073749},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-3.5-turbo\",\"password\":false,\"options\":[\"gpt-3.5-turbo-0613\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k-0613\",\"gpt-3.5-turbo-16k\",\"gpt-4-0613\",\"gpt-4-32k-0613\",\"gpt-4\",\"gpt-4-32k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false,\"value\":60},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseChatModel\",\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\"},\"id\":\"ChatOpenAI-fBcfh\",\"value\":null},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":228.87326389541306,\"y\":465.8628482073749}},{\"width\":384,\"height\":310,\"id\":\"ConversationChain-bVNex\",\"type\":\"genericNode\",\"position\":{\"x\":806,\"y\":554},\"data\":{\"type\":\"ConversationChain\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":{\"_type\":\"default\"},\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLMOutputParser\",\"list\":false},\"prompt\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":{\"input_variables\":[\"history\",\"input\"],\"output_parser\":null,\"partial_variables\":{},\"template\":\"The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.\\n\\nCurrent conversation:\\n{history}\\nHuman: {input}\\nAI:\",\"template_format\":\"f-string\",\"validate_template\":true,\"_type\":\"prompt\"},\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false},\"input_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"input\",\"password\":false,\"name\":\"input_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"llm_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"llm_kwargs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"output_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"response\",\"password\":false,\"name\":\"output_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"return_final_only\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":true,\"password\":false,\"name\":\"return_final_only\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ConversationChain\"},\"description\":\"Chain to have a conversation and load context from memory.\",\"base_classes\":[\"ConversationChain\",\"Chain\",\"LLMChain\",\"function\"],\"display_name\":\"ConversationChain\",\"documentation\":\"\"},\"id\":\"ConversationChain-bVNex\",\"value\":null},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":806,\"y\":554}}],\"edges\":[{\"source\":\"ChatOpenAI-fBcfh\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseChatModelœ,œBaseLanguageModelœ,œChatOpenAIœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-fBcfhœ}\",\"target\":\"ConversationChain-bVNex\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œConversationChain-bVNexœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"className\":\"stroke-gray-900  stroke-connection\",\"id\":\"reactflow__edge-ChatOpenAI-fBcfh{œbaseClassesœ:[œBaseChatModelœ,œBaseLanguageModelœ,œChatOpenAIœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-fBcfhœ}-ConversationChain-bVNex{œfieldNameœ:œllmœ,œidœ:œConversationChain-bVNexœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"BaseChatModel\",\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-fBcfh\"},\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"ConversationChain-bVNex\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"}},\"style\":{\"stroke\":\"#555\"},\"animated\":false}],\"viewport\":{\"x\":-118.21416568593895,\"y\":-240.64815770363373,\"zoom\":0.7642485855675408}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:57:55.879806\",\"folder\":null,\"id\":\"bddebeea-b80a-4b28-8895-c4425687dcce\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Directory Loader\",\"description\":\"Generic File Loader\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"import os\\n\\nfrom langchain.schema import Document\\nfrom langflow import CustomComponent\\nimport glob\\n\\nclass DirectoryLoaderComponent(CustomComponent):\\n    display_name: str = \\\"Directory Loader\\\"\\n    description: str = \\\"Generic File Loader\\\"\\n    beta = True\\n    loaders_info = [\\n    {\\n        \\\"loader\\\": \\\"AirbyteJSONLoader\\\",\\n        \\\"name\\\": \\\"Airbyte JSON (.jsonl)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.AirbyteJSONLoader\\\",\\n        \\\"defaultFor\\\": [\\\"jsonl\\\"],\\n        \\\"allowdTypes\\\": [\\\"jsonl\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"JSONLoader\\\",\\n        \\\"name\\\": \\\"JSON (.json)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.JSONLoader\\\",\\n        \\\"defaultFor\\\": [\\\"json\\\"],\\n        \\\"allowdTypes\\\": [\\\"json\\\"],\\n        \\\"kwargs\\\": {\\\"jq_schema\\\": \\\".\\\", \\\"text_content\\\": False}\\n    },\\n    {\\n        \\\"loader\\\": \\\"BSHTMLLoader\\\",\\n        \\\"name\\\": \\\"BeautifulSoup4 HTML (.html, .htm)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.BSHTMLLoader\\\",\\n        \\\"allowdTypes\\\": [\\\"html\\\", \\\"htm\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"CSVLoader\\\",\\n        \\\"name\\\": \\\"CSV (.csv)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.CSVLoader\\\",\\n        \\\"defaultFor\\\": [\\\"csv\\\"],\\n        \\\"allowdTypes\\\": [\\\"csv\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"CoNLLULoader\\\",\\n        \\\"name\\\": \\\"CoNLL-U (.conllu)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.CoNLLULoader\\\",\\n        \\\"defaultFor\\\": [\\\"conllu\\\"],\\n        \\\"allowdTypes\\\": [\\\"conllu\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"EverNoteLoader\\\",\\n        \\\"name\\\": \\\"EverNote (.enex)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.EverNoteLoader\\\",\\n        \\\"defaultFor\\\": [\\\"enex\\\"],\\n        \\\"allowdTypes\\\": [\\\"enex\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"FacebookChatLoader\\\",\\n        \\\"name\\\": \\\"Facebook Chat (.json)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.FacebookChatLoader\\\",\\n        \\\"allowdTypes\\\": [\\\"json\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"OutlookMessageLoader\\\",\\n        \\\"name\\\": \\\"Outlook Message (.msg)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.OutlookMessageLoader\\\",\\n        \\\"defaultFor\\\": [\\\"msg\\\"],\\n        \\\"allowdTypes\\\": [\\\"msg\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"PyPDFLoader\\\",\\n        \\\"name\\\": \\\"PyPDF (.pdf)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.PyPDFLoader\\\",\\n        \\\"defaultFor\\\": [\\\"pdf\\\"],\\n        \\\"allowdTypes\\\": [\\\"pdf\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"STRLoader\\\",\\n        \\\"name\\\": \\\"Subtitle (.str)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.STRLoader\\\",\\n        \\\"defaultFor\\\": [\\\"str\\\"],\\n        \\\"allowdTypes\\\": [\\\"str\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"TextLoader\\\",\\n        \\\"name\\\": \\\"Text (.txt)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.TextLoader\\\",\\n        \\\"defaultFor\\\": [\\\"txt\\\"],\\n        \\\"allowdTypes\\\": [\\\"txt\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredEmailLoader\\\",\\n        \\\"name\\\": \\\"Unstructured Email (.eml)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredEmailLoader\\\",\\n        \\\"defaultFor\\\": [\\\"eml\\\"],\\n        \\\"allowdTypes\\\": [\\\"eml\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredHTMLLoader\\\",\\n        \\\"name\\\": \\\"Unstructured HTML (.html, .htm)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredHTMLLoader\\\",\\n        \\\"defaultFor\\\": [\\\"html\\\", \\\"htm\\\"],\\n        \\\"allowdTypes\\\": [\\\"html\\\", \\\"htm\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredMarkdownLoader\\\",\\n        \\\"name\\\": \\\"Unstructured Markdown (.md)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredMarkdownLoader\\\",\\n        \\\"defaultFor\\\": [\\\"md\\\"],\\n        \\\"allowdTypes\\\": [\\\"md\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredPowerPointLoader\\\",\\n        \\\"name\\\": \\\"Unstructured PowerPoint (.pptx)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredPowerPointLoader\\\",\\n        \\\"defaultFor\\\": [\\\"pptx\\\"],\\n        \\\"allowdTypes\\\": [\\\"pptx\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredWordLoader\\\",\\n        \\\"name\\\": \\\"Unstructured Word (.docx)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredWordLoader\\\",\\n        \\\"defaultFor\\\": [\\\"docx\\\"],\\n        \\\"allowdTypes\\\": [\\\"docx\\\"],\\n    },\\n]\\n\\n\\n    def build_config(self):\\n        loader_options = [\\\"Automatic\\\"] + [\\n            loader_info[\\\"name\\\"] for loader_info in self.loaders_info\\n        ]\\n\\n        file_types = []\\n        suffixes = []\\n\\n        for loader_info in self.loaders_info:\\n            if \\\"allowedTypes\\\" in loader_info:\\n                file_types.extend(loader_info[\\\"allowedTypes\\\"])\\n                suffixes.extend([f\\\".{ext}\\\" for ext in loader_info[\\\"allowedTypes\\\"]])\\n\\n        return {\\n            \\\"directory_path\\\": {\\n                \\\"display_name\\\": \\\"Directory Path\\\",\\n                \\\"required\\\": True,\\n            },\\n            \\\"loader\\\": {\\n                \\\"display_name\\\": \\\"Loader\\\",\\n                \\\"is_list\\\": True,\\n                \\\"required\\\": True,\\n                \\\"options\\\": loader_options,\\n                \\\"value\\\": \\\"Automatic\\\",\\n            },\\n        }\\n\\n    def build(self, directory_path: str, loader: str) -> Document:\\n        # Verifique se o diretório existe\\n        if not os.path.exists(directory_path):\\n            raise ValueError(f\\\"Directory not found: {directory_path}\\\")\\n\\n        files = glob.glob(directory_path + \\\"/*.*\\\")\\n\\n\\n        loader_info = None\\n        if loader == \\\"Automatic\\\":\\n            for file in files:\\n                file_type = file.split(\\\".\\\")[-1]\\n\\n\\n                for info in self.loaders_info:\\n                    if \\\"defaultFor\\\" in info:\\n                        if file_type in info[\\\"defaultFor\\\"]:\\n                            loader_info = info\\n                            break\\n                if loader_info:\\n                    break\\n\\n            if not loader_info:\\n                raise ValueError(\\n                    \\\"No default loader found for any file in the directory\\\"\\n                )\\n\\n        else:\\n            for info in self.loaders_info:\\n                if info[\\\"name\\\"] == loader:\\n                    loader_info = info\\n                    break\\n\\n            if not loader_info:\\n                raise ValueError(f\\\"Loader {loader} not found in the loader info list\\\")\\n\\n        loader_import = loader_info[\\\"import\\\"]\\n        module_name, class_name = loader_import.rsplit(\\\".\\\", 1)\\n\\n        try:\\n            # Importe o loader dinamicamente\\n            loader_module = __import__(module_name, fromlist=[class_name])\\n            loader_instance = getattr(loader_module, class_name)\\n        except ImportError as e:\\n            raise ValueError(\\n                f\\\"Loader {loader} could not be imported\\\\nLoader info:\\\\n{loader_info}\\\"\\n            ) from e\\n\\n        results = []\\n        for file in files:\\n            file_path = os.path.join(directory_path, file)\\n            kwargs = loader_info.get(\\\"kwargs\\\", {})\\n            result = loader_instance(file_path=file_path, **kwargs).load()\\n            results.append(result)\\n        self.status = results\\n        return results\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"directory_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"directory_path\",\"display_name\":\"Directory Path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"/Users/ogabrielluiz/Projects/langflow2/docs\"},\"loader\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"Automatic\",\"password\":false,\"options\":[\"Automatic\",\"Airbyte JSON (.jsonl)\",\"JSON (.json)\",\"BeautifulSoup4 HTML (.html, .htm)\",\"CSV (.csv)\",\"CoNLL-U (.conllu)\",\"EverNote (.enex)\",\"Facebook Chat (.json)\",\"Outlook Message (.msg)\",\"PyPDF (.pdf)\",\"Subtitle (.str)\",\"Text (.txt)\",\"Unstructured Email (.eml)\",\"Unstructured HTML (.html, .htm)\",\"Unstructured Markdown (.md)\",\"Unstructured PowerPoint (.pptx)\",\"Unstructured Word (.docx)\"],\"name\":\"loader\",\"display_name\":\"Loader\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true}},\"description\":\"Generic File Loader\",\"base_classes\":[\"Document\"],\"display_name\":\"Directory Loader\",\"custom_fields\":{\"directory_path\":null,\"loader\":null},\"output_types\":[\"Document\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-Ip6tG\"},\"id\":\"CustomComponent-Ip6tG\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-04T22:58:38.570303\",\"folder\":null,\"id\":\"5fe4debc-b6a7-45d4-a694-c02d8aa93b08\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Whisper Transcriber\",\"description\":\"Converts audio to text using OpenAI's Whisper.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import Optional, List, Dict, Union\\nfrom langflow.field_typing import (\\n    AgentExecutor,\\n    BaseChatMemory,\\n    BaseLanguageModel,\\n    BaseLLM,\\n    BaseLoader,\\n    BaseMemory,\\n    BaseOutputParser,\\n    BasePromptTemplate,\\n    BaseRetriever,\\n    Callable,\\n    Chain,\\n    ChatPromptTemplate,\\n    Data,\\n    Document,\\n    Embeddings,\\n    NestedDict,\\n    Object,\\n    PromptTemplate,\\n    TextSplitter,\\n    Tool,\\n    VectorStore,\\n)\\n\\nfrom openai import OpenAI\\nclass Component(CustomComponent):\\n    display_name: str = \\\"Whisper Transcriber\\\"\\n    description: str = \\\"Converts audio to text using OpenAI's Whisper.\\\"\\n\\n    def build_config(self):\\n        return {\\\"audio\\\":{\\\"field_type\\\":\\\"file\\\",\\\"suffixes\\\":[\\\".mp3\\\", \\\".mp4\\\", \\\".m4a\\\"]},\\\"OpenAIKey\\\":{\\\"field_type\\\":\\\"str\\\",\\\"password\\\":True}}\\n\\n    def build(self, audio:str, OpenAIKey:str) -> str:\\n        \\n        #  TODO: if output path, persist & load it instead\\n        \\n        client = OpenAI(api_key=OpenAIKey)\\n        \\n        audio_file= open(audio, \\\"rb\\\")\\n        transcript = client.audio.transcriptions.create(\\n          model=\\\"whisper-1\\\", \\n          file=audio_file,\\n          response_format=\\\"text\\\"\\n        )\\n        \\n        \\n        self.status = transcript\\n        return transcript\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"OpenAIKey\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"OpenAIKey\",\"display_name\":\"OpenAIKey\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"audio\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"suffixes\":[\".mp3\",\".mp4\",\".m4a\"],\"password\":false,\"name\":\"audio\",\"display_name\":\"audio\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"file_path\":\"/Users/rodrigonader/Library/Caches/langflow/19b3e1c9-90bf-405f-898a-e982f47adf76/a3308ce7e9b10088fcd985aabb6d17b012c6b6e81ff8806356574474c9d10229.m4a\",\"value\":\"Audio Recording 2023-11-29 at 12.12.04.m4a\"}},\"description\":\"Converts audio to text using OpenAI's Whisper.\",\"base_classes\":[\"str\"],\"display_name\":\"Whisper Transcriber\",\"custom_fields\":{\"OpenAIKey\":null,\"audio\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-GJRrs\"},\"id\":\"CustomComponent-GJRrs\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-04T22:58:39.710502\",\"folder\":null,\"id\":\"bd9e911d-46bd-429f-aa75-dd740430695e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Youtube Conversation\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":589,\"id\":\"CustomComponent-h0NSI\",\"type\":\"genericNode\",\"position\":{\"x\":714.9531293402755,\"y\":0.4994374160582993},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"import requests\\nfrom langflow import CustomComponent\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.schema import Document\\nfrom langchain.document_loaders import YoutubeLoader\\n\\n# Example usage:\\n\\nclass YourComponent(CustomComponent):\\n    display_name: str = \\\"YouTube Transcript\\\"\\n    description: str = \\\"YouTube transcripts refer to the written text versions of the spoken content in a video uploaded to the YouTube platform.\\\"\\n\\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"multiline\\\": True, \\\"required\\\": True}}\\n\\n    def build(self, url: str, llm: BaseLLM, dependencies: Document, language: str = \\\"en\\\") -> Document:\\n        dependencies\\n        response = requests.get(url)\\n        loader = YoutubeLoader.from_youtube_url(url, add_video_info=True, language=[language])\\n        result = loader.load()\\n        self.repr_value = str(result)\\n        return result\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"dependencies\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"dependencies\",\"display_name\":\"dependencies\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":false},\"language\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"en\",\"password\":false,\"name\":\"language\",\"display_name\":\"language\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLM\",\"list\":false},\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"YouTube transcripts refer to the written text versions of the spoken content in a video uploaded to the YouTube platform.\",\"base_classes\":[\"Document\"],\"display_name\":\"YouTube Transcript\",\"custom_fields\":{\"dependencies\":null,\"language\":null,\"llm\":null,\"url\":null},\"output_types\":[\"Document\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-h0NSI\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":714.9531293402755,\"y\":0.4994374160582993}},{\"width\":384,\"height\":629,\"id\":\"ChatOpenAI-q61Y2\",\"type\":\"genericNode\",\"position\":{\"x\":18,\"y\":625.5521045590924},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-3.5-turbo-16k\",\"password\":false,\"options\":[\"gpt-3.5-turbo-0613\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k-0613\",\"gpt-3.5-turbo-16k\",\"gpt-4-0613\",\"gpt-4-32k-0613\",\"gpt-4\",\"gpt-4-32k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-q61Y2\"},\"selected\":false,\"positionAbsolute\":{\"x\":18,\"y\":625.5521045590924},\"dragging\":false},{\"width\":384,\"height\":539,\"id\":\"Chroma-gVhy7\",\"type\":\"genericNode\",\"position\":{\"x\":2110.365967257855,\"y\":805.0149521868784},\"data\":{\"type\":\"Chroma\",\"node\":{\"template\":{\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"chromadb.Client\",\"list\":false},\"client_settings\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client_settings\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"chromadb.config.Setting\",\"list\":true},\"documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":true},\"embedding\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Embeddings\",\"list\":false},\"chroma_server_cors_allow_origins\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_cors_allow_origins\",\"display_name\":\"Chroma Server CORS Allow Origins\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"chroma_server_grpc_port\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_grpc_port\",\"display_name\":\"Chroma Server GRPC Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_host\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_host\",\"display_name\":\"Chroma Server Host\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_http_port\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_http_port\",\"display_name\":\"Chroma Server HTTP Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_ssl_enabled\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"chroma_server_ssl_enabled\",\"display_name\":\"Chroma Server SSL Enabled\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"collection_metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"collection_metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"collection_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"langchain\",\"password\":false,\"name\":\"collection_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"ids\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"ids\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"metadatas\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":true},\"persist\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"persist\",\"display_name\":\"Persist\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"persist_directory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"persist_directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"search_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"{}\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"NestedDict\",\"list\":false},\"_type\":\"Chroma\"},\"description\":\"Create a Chroma vectorstore from a raw documents.\",\"base_classes\":[\"VectorStore\",\"Chroma\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"Chroma\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/chroma\",\"beta\":false,\"error\":null},\"id\":\"Chroma-gVhy7\"},\"selected\":false,\"positionAbsolute\":{\"x\":2110.365967257855,\"y\":805.0149521868784},\"dragging\":false},{\"width\":384,\"height\":501,\"id\":\"RecursiveCharacterTextSplitter-1eaOX\",\"type\":\"genericNode\",\"position\":{\"x\":1409.2872773444874,\"y\":19.45456141103284},\"data\":{\"type\":\"RecursiveCharacterTextSplitter\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.schema import Document\\nfrom langflow.utils.util import build_loader_repr_from_documents\\n\\n\\nclass RecursiveCharacterTextSplitterComponent(CustomComponent):\\n    display_name: str = \\\"Recursive Character Text Splitter\\\"\\n    description: str = \\\"Split text into chunks of a specified length.\\\"\\n    documentation: str = \\\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"documents\\\": {\\n                \\\"display_name\\\": \\\"Documents\\\",\\n                \\\"info\\\": \\\"The documents to split.\\\",\\n            },\\n            \\\"separators\\\": {\\n                \\\"display_name\\\": \\\"Separators\\\",\\n                \\\"info\\\": 'The characters to split on.\\\\nIf left empty defaults to [\\\"\\\\\\\\n\\\\\\\\n\\\", \\\"\\\\\\\\n\\\", \\\" \\\", \\\"\\\"].',\\n                \\\"is_list\\\": True,\\n            },\\n            \\\"chunk_size\\\": {\\n                \\\"display_name\\\": \\\"Chunk Size\\\",\\n                \\\"info\\\": \\\"The maximum length of each chunk.\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 1000,\\n            },\\n            \\\"chunk_overlap\\\": {\\n                \\\"display_name\\\": \\\"Chunk Overlap\\\",\\n                \\\"info\\\": \\\"The amount of overlap between chunks.\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 200,\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        documents: list[Document],\\n        separators: Optional[list[str]] = None,\\n        chunk_size: Optional[int] = 1000,\\n        chunk_overlap: Optional[int] = 200,\\n    ) -> list[Document]:\\n        \\\"\\\"\\\"\\n        Split text into chunks of a specified length.\\n\\n        Args:\\n            separators (list[str]): The characters to split on.\\n            chunk_size (int): The maximum length of each chunk.\\n            chunk_overlap (int): The amount of overlap between chunks.\\n            length_function (function): The function to use to calculate the length of the text.\\n\\n        Returns:\\n            list[str]: The chunks of text.\\n        \\\"\\\"\\\"\\n        from langchain.text_splitter import RecursiveCharacterTextSplitter\\n\\n        if separators == \\\"\\\":\\n            separators = None\\n        elif separators:\\n            # check if the separators list has escaped characters\\n            # if there are escaped characters, unescape them\\n            separators = [x.encode().decode(\\\"unicode-escape\\\") for x in separators]\\n\\n        # Make sure chunk_size and chunk_overlap are ints\\n        if isinstance(chunk_size, str):\\n            chunk_size = int(chunk_size)\\n        if isinstance(chunk_overlap, str):\\n            chunk_overlap = int(chunk_overlap)\\n        splitter = RecursiveCharacterTextSplitter(\\n            separators=separators,\\n            chunk_size=chunk_size,\\n            chunk_overlap=chunk_overlap,\\n        )\\n\\n        docs = splitter.split_documents(documents)\\n        self.repr_value = build_loader_repr_from_documents(docs)\\n        return docs\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"chunk_overlap\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"50\",\"password\":false,\"name\":\"chunk_overlap\",\"display_name\":\"Chunk Overlap\",\"advanced\":false,\"dynamic\":false,\"info\":\"The amount of overlap between chunks.\",\"type\":\"int\",\"list\":false},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"400\",\"password\":false,\"name\":\"chunk_size\",\"display_name\":\"Chunk Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"The maximum length of each chunk.\",\"type\":\"int\",\"list\":false},\"documents\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"The documents to split.\",\"type\":\"Document\",\"list\":true},\"separators\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"separators\",\"display_name\":\"Separators\",\"advanced\":false,\"dynamic\":false,\"info\":\"The characters to split on.\\nIf left empty defaults to [\\\"\\\\n\\\\n\\\", \\\"\\\\n\\\", \\\" \\\", \\\"\\\"].\",\"type\":\"str\",\"list\":true,\"value\":[\" \"]}},\"description\":\"Split text into chunks of a specified length.\",\"base_classes\":[\"Document\"],\"display_name\":\"Recursive Character Text Splitter\",\"custom_fields\":{\"chunk_overlap\":null,\"chunk_size\":null,\"documents\":null,\"separators\":null},\"output_types\":[\"RecursiveCharacterTextSplitter\"],\"documentation\":\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\",\"beta\":true,\"error\":null},\"id\":\"RecursiveCharacterTextSplitter-1eaOX\"},\"selected\":false,\"positionAbsolute\":{\"x\":1409.2872773444874,\"y\":19.45456141103284},\"dragging\":false},{\"width\":384,\"height\":367,\"id\":\"OpenAIEmbeddings-cduOO\",\"type\":\"genericNode\",\"position\":{\"x\":1405.1176670984544,\"y\":1029.459061269321},\"data\":{\"type\":\"OpenAIEmbeddings\",\"node\":{\"template\":{\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Literal'all'\",\"list\":true},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Literal'all'\",\"list\":true},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1000,\"password\":false,\"name\":\"chunk_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"deployment\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"embedding_ctx_length\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":8191,\"password\":false,\"name\":\"embedding_ctx_length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"{'Authorization': 'Bearer <token>'}\",\"password\":false,\"name\":\"headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_type\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_version\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"show_progress_bar\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"show_progress_bar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"skip_empty\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"skip_empty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"_type\":\"OpenAIEmbeddings\"},\"description\":\"OpenAI embedding models.\",\"base_classes\":[\"Embeddings\",\"OpenAIEmbeddings\"],\"display_name\":\"OpenAIEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAIEmbeddings-cduOO\"},\"selected\":false,\"positionAbsolute\":{\"x\":1405.1176670984544,\"y\":1029.459061269321}},{\"width\":384,\"height\":339,\"id\":\"RetrievalQA-4PmTB\",\"type\":\"genericNode\",\"position\":{\"x\":2711.7786966415715,\"y\":709.4450828605463},\"data\":{\"type\":\"RetrievalQA\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"combine_documents_chain\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"combine_documents_chain\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseCombineDocumentsChain\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"retriever\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseRetriever\",\"list\":false},\"input_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"query\",\"password\":false,\"name\":\"input_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"output_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"result\",\"password\":false,\"name\":\"output_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"return_source_documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":false,\"name\":\"return_source_documents\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"RetrievalQA\"},\"description\":\"Chain for question-answering against an index.\",\"base_classes\":[\"RetrievalQA\",\"Chain\",\"BaseRetrievalQA\",\"function\"],\"display_name\":\"RetrievalQA\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/chains/popular/vector_db_qa\",\"beta\":false,\"error\":null},\"id\":\"RetrievalQA-4PmTB\"},\"selected\":false,\"positionAbsolute\":{\"x\":2711.7786966415715,\"y\":709.4450828605463}},{\"width\":384,\"height\":333,\"id\":\"CombineDocsChain-yk0JF\",\"type\":\"genericNode\",\"position\":{\"x\":2125.6202053356537,\"y\":199.07708924409633},\"data\":{\"type\":\"CombineDocsChain\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"chain_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"stuff\",\"password\":false,\"options\":[\"stuff\",\"map_reduce\",\"map_rerank\",\"refine\"],\"name\":\"chain_type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"_type\":\"load_qa_chain\"},\"description\":\"Load question answering chain.\",\"base_classes\":[\"BaseCombineDocumentsChain\",\"function\"],\"display_name\":\"CombineDocsChain\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"id\":\"CombineDocsChain-yk0JF\"},\"selected\":false,\"positionAbsolute\":{\"x\":2125.6202053356537,\"y\":199.07708924409633},\"dragging\":false},{\"width\":384,\"height\":417,\"id\":\"CustomComponent-y6Wg0\",\"type\":\"genericNode\",\"position\":{\"x\":39.400034102832365,\"y\":-499.03551482195707},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nimport subprocess\\n\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain.prompts import PromptTemplate\\nfrom langchain.schema import Document\\n\\nfrom typing import List\\n\\n\\nclass YourComponent(CustomComponent):\\n    display_name: str = \\\"PIP Install\\\"\\n    description: str = \\\"Create any custom component you want!\\\"\\n\\n    def build(self, libs: List[str]) -> Document:\\n        def install_package(package_name):\\n            subprocess.check_call([\\\"pip\\\", \\\"install\\\", package_name])\\n        for lib in libs:\\n            install_package(lib)\\n        return \\\"\\\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"libs\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"libs\",\"display_name\":\"libs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"requests\",\"pytube\"]}},\"description\":\"Create any custom component you want!\",\"base_classes\":[\"Document\"],\"display_name\":\"PIP Install\",\"custom_fields\":{\"libs\":null},\"output_types\":[],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-y6Wg0\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":39.400034102832365,\"y\":-499.03551482195707}}],\"edges\":[{\"source\":\"ChatOpenAI-q61Y2\",\"sourceHandle\":\"{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}\",\"target\":\"CustomComponent-h0NSI\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œBaseLLMœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-q61Y2{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}-CustomComponent-h0NSI{œfieldNameœ:œllmœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œBaseLLMœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-q61Y2\"},\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"CustomComponent-h0NSI\",\"inputTypes\":null,\"type\":\"BaseLLM\"}}},{\"source\":\"CustomComponent-y6Wg0\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-y6Wg0œ}\",\"target\":\"CustomComponent-h0NSI\",\"targetHandle\":\"{œfieldNameœ:œdependenciesœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-y6Wg0{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-y6Wg0œ}-CustomComponent-h0NSI{œfieldNameœ:œdependenciesœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-y6Wg0\"},\"targetHandle\":{\"fieldName\":\"dependencies\",\"id\":\"CustomComponent-h0NSI\",\"inputTypes\":null,\"type\":\"Document\"}}},{\"source\":\"CustomComponent-h0NSI\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-h0NSIœ}\",\"target\":\"RecursiveCharacterTextSplitter-1eaOX\",\"targetHandle\":\"{œfieldNameœ:œdocumentsœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-h0NSI{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-h0NSIœ}-RecursiveCharacterTextSplitter-1eaOX{œfieldNameœ:œdocumentsœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-h0NSI\"},\"targetHandle\":{\"fieldName\":\"documents\",\"id\":\"RecursiveCharacterTextSplitter-1eaOX\",\"inputTypes\":null,\"type\":\"Document\"}},\"selected\":false},{\"source\":\"OpenAIEmbeddings-cduOO\",\"sourceHandle\":\"{œbaseClassesœ:[œEmbeddingsœ,œOpenAIEmbeddingsœ],œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-cduOOœ}\",\"target\":\"Chroma-gVhy7\",\"targetHandle\":\"{œfieldNameœ:œembeddingœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œEmbeddingsœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-OpenAIEmbeddings-cduOO{œbaseClassesœ:[œEmbeddingsœ,œOpenAIEmbeddingsœ],œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-cduOOœ}-Chroma-gVhy7{œfieldNameœ:œembeddingœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œEmbeddingsœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Embeddings\",\"OpenAIEmbeddings\"],\"dataType\":\"OpenAIEmbeddings\",\"id\":\"OpenAIEmbeddings-cduOO\"},\"targetHandle\":{\"fieldName\":\"embedding\",\"id\":\"Chroma-gVhy7\",\"inputTypes\":null,\"type\":\"Embeddings\"}}},{\"source\":\"RecursiveCharacterTextSplitter-1eaOX\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œRecursiveCharacterTextSplitterœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ}\",\"target\":\"Chroma-gVhy7\",\"targetHandle\":\"{œfieldNameœ:œdocumentsœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-RecursiveCharacterTextSplitter-1eaOX{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œRecursiveCharacterTextSplitterœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ}-Chroma-gVhy7{œfieldNameœ:œdocumentsœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"RecursiveCharacterTextSplitter\",\"id\":\"RecursiveCharacterTextSplitter-1eaOX\"},\"targetHandle\":{\"fieldName\":\"documents\",\"id\":\"Chroma-gVhy7\",\"inputTypes\":null,\"type\":\"Document\"}}},{\"source\":\"ChatOpenAI-q61Y2\",\"sourceHandle\":\"{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}\",\"target\":\"CombineDocsChain-yk0JF\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œCombineDocsChain-yk0JFœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-q61Y2{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}-CombineDocsChain-yk0JF{œfieldNameœ:œllmœ,œidœ:œCombineDocsChain-yk0JFœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-q61Y2\"},\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"CombineDocsChain-yk0JF\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"}}},{\"source\":\"CombineDocsChain-yk0JF\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseCombineDocumentsChainœ,œfunctionœ],œdataTypeœ:œCombineDocsChainœ,œidœ:œCombineDocsChain-yk0JFœ}\",\"target\":\"RetrievalQA-4PmTB\",\"targetHandle\":\"{œfieldNameœ:œcombine_documents_chainœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseCombineDocumentsChainœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CombineDocsChain-yk0JF{œbaseClassesœ:[œBaseCombineDocumentsChainœ,œfunctionœ],œdataTypeœ:œCombineDocsChainœ,œidœ:œCombineDocsChain-yk0JFœ}-RetrievalQA-4PmTB{œfieldNameœ:œcombine_documents_chainœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseCombineDocumentsChainœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"BaseCombineDocumentsChain\",\"function\"],\"dataType\":\"CombineDocsChain\",\"id\":\"CombineDocsChain-yk0JF\"},\"targetHandle\":{\"fieldName\":\"combine_documents_chain\",\"id\":\"RetrievalQA-4PmTB\",\"inputTypes\":null,\"type\":\"BaseCombineDocumentsChain\"}}},{\"source\":\"Chroma-gVhy7\",\"sourceHandle\":\"{œbaseClassesœ:[œVectorStoreœ,œChromaœ,œBaseRetrieverœ,œVectorStoreRetrieverœ],œdataTypeœ:œChromaœ,œidœ:œChroma-gVhy7œ}\",\"target\":\"RetrievalQA-4PmTB\",\"targetHandle\":\"{œfieldNameœ:œretrieverœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseRetrieverœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-Chroma-gVhy7{œbaseClassesœ:[œVectorStoreœ,œChromaœ,œBaseRetrieverœ,œVectorStoreRetrieverœ],œdataTypeœ:œChromaœ,œidœ:œChroma-gVhy7œ}-RetrievalQA-4PmTB{œfieldNameœ:œretrieverœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseRetrieverœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"VectorStore\",\"Chroma\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"dataType\":\"Chroma\",\"id\":\"Chroma-gVhy7\"},\"targetHandle\":{\"fieldName\":\"retriever\",\"id\":\"RetrievalQA-4PmTB\",\"inputTypes\":null,\"type\":\"BaseRetriever\"}}}],\"viewport\":{\"x\":189.54413265004274,\"y\":259.89949657174975,\"zoom\":0.291027508374689}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:59:08.830269\",\"folder\":null,\"id\":\"bc7eb94b-6fc6-49cb-9b19-35347ba51afa\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Web Scraper - Content & Links\",\"description\":\"Fetch and parse text and links from a given URL.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":338,\"id\":\"LLMChain-H7PBy\",\"type\":\"genericNode\",\"position\":{\"x\":1682.494010974207,\"y\":275.5701585623092},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-H7PBy\"},\"selected\":false,\"positionAbsolute\":{\"x\":1682.494010974207,\"y\":275.5701585623092},\"dragging\":false},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-VSAdc\",\"type\":\"genericNode\",\"position\":{\"x\":1002.4263147022411,\"y\":-198.2305006886859},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"0.1\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-VSAdc\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":1002.4263147022411,\"y\":-198.2305006886859}},{\"width\":384,\"height\":374,\"data\":{\"id\":\"GroupNode-WXPMk\",\"type\":\"PromptTemplate\",\"node\":{\"output_types\":[],\"display_name\":\"Web Scraper\",\"documentation\":\"\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"description\":\"Fetch and parse text and links from a given URL.\",\"template\":{\"code_CustomComponent-f6nOg\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"code\"},\"display_name\":\"Code\"},\"ignore_links_CustomComponent-f6nOg\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"ignore_links\"}},\"code_CustomComponent-FGzJJ\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-FGzJJ\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-0XtUN\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-0XtUN\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-ODIcp\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-ODIcp\",\"field\":\"code\"},\"display_name\":\"Code\"},\"output_parser_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"output_parser\"},\"display_name\":\"Output Parser\"},\"input_types_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_types\"},\"display_name\":\"Input Types\"},\"input_variables_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"],\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_variables\"},\"display_name\":\"Input Variables\"},\"partial_variables_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"partial_variables\"},\"display_name\":\"Partial Variables\"},\"template_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\",\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template\"},\"display_name\":\"Template\"},\"template_format_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template_format\"},\"display_name\":\"Template Format\"},\"validate_template_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"validate_template\"},\"display_name\":\"Validate Template\"},\"query_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"give me links\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"query\"}},\"code_CustomComponent-OACE0\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"code\"},\"display_name\":\"Code\"},\"url_CustomComponent-OACE0\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"url\"},\"value\":\"https://paperswithcode.com/\"},\"code_CustomComponent-whsQ5\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n    display_name: str = \\\"List to Bullets\\\"\\n    description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n    def build(self, items: list) -> str:\\n        markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n        return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-whsQ5\",\"field\":\"code\"},\"display_name\":\"Code\"}},\"flow\":{\"data\":{\"nodes\":[{\"width\":384,\"height\":405,\"id\":\"CustomComponent-f6nOg\",\"type\":\"genericNode\",\"position\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-f6nOg\"},\"selected\":true,\"positionAbsolute\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"dragging\":false},{\"width\":384,\"height\":375,\"id\":\"CustomComponent-FGzJJ\",\"type\":\"genericNode\",\"position\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-FGzJJ\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-0XtUN\",\"type\":\"genericNode\",\"position\":{\"x\":214.00059169497604,\"y\":177.27071061129823},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse HTML\",\"custom_fields\":{\"html_content\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-0XtUN\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":214.00059169497604,\"y\":177.27071061129823}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-ODIcp\",\"type\":\"genericNode\",\"position\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract Hyperlinks\",\"custom_fields\":{\"soup\":null},\"output_types\":[\"list\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-ODIcp\"},\"selected\":true,\"positionAbsolute\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"dragging\":false},{\"width\":384,\"height\":657,\"id\":\"PromptTemplate-H9Udy\",\"type\":\"genericNode\",\"position\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_markdown\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_markdown\",\"display_name\":\"html_markdown\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_links\",\"display_name\":\"html_links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-H9Udy\"},\"selected\":true,\"positionAbsolute\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"dragging\":false},{\"width\":384,\"height\":347,\"id\":\"CustomComponent-OACE0\",\"type\":\"genericNode\",\"position\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":null,\"base_classes\":[\"str\"],\"display_name\":\"URL Input\",\"custom_fields\":{\"url\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-OACE0\"},\"selected\":true,\"positionAbsolute\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"dragging\":false},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-whsQ5\",\"type\":\"genericNode\",\"position\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n    display_name: str = \\\"List to Bullets\\\"\\n    description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n    def build(self, items: list) -> str:\\n        markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n        return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"items\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"items\",\"display_name\":\"items\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"list\",\"list\":true}},\"description\":\"Converts a Python list into Markdown bullet points.\",\"base_classes\":[\"str\"],\"display_name\":\"List to Bullets\",\"custom_fields\":{\"items\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-whsQ5\"},\"selected\":true,\"positionAbsolute\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"dragging\":false}],\"edges\":[{\"source\":\"CustomComponent-FGzJJ\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}\",\"target\":\"CustomComponent-f6nOg\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-f6nOgœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-f6nOg\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-FGzJJ\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-FGzJJ{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}-CustomComponent-f6nOg{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-f6nOgœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-FGzJJ\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}\",\"target\":\"CustomComponent-0XtUN\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-0XtUNœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-0XtUN\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-FGzJJ\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-FGzJJ{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}-CustomComponent-0XtUN{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-0XtUNœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-0XtUN\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-0XtUNœ}\",\"target\":\"CustomComponent-ODIcp\",\"targetHandle\":\"{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-ODIcpœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"soup\",\"id\":\"CustomComponent-ODIcp\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-0XtUN\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-0XtUN{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-0XtUNœ}-CustomComponent-ODIcp{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-ODIcpœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-OACE0\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}\",\"target\":\"CustomComponent-FGzJJ\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œCustomComponent-FGzJJœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"CustomComponent-FGzJJ\",\"inputTypes\":[\"Data\",\"str\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-OACE0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-OACE0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}-CustomComponent-FGzJJ{œfieldNameœ:œurlœ,œidœ:œCustomComponent-FGzJJœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-OACE0\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-OACE0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-OACE0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}-PromptTemplate-H9Udy{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-ODIcp\",\"sourceHandle\":\"{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ODIcpœ}\",\"target\":\"CustomComponent-whsQ5\",\"targetHandle\":\"{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-whsQ5œ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"items\",\"id\":\"CustomComponent-whsQ5\",\"inputTypes\":null,\"type\":\"list\"},\"sourceHandle\":{\"baseClasses\":[\"list\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-ODIcp\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-ODIcp{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ODIcpœ}-CustomComponent-whsQ5{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-whsQ5œ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"selected\":true},{\"source\":\"CustomComponent-whsQ5\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-whsQ5œ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_links\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-whsQ5\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-whsQ5{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-whsQ5œ}-PromptTemplate-H9Udy{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-f6nOg\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-f6nOgœ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_markdown\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-f6nOg\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-f6nOg{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-f6nOgœ}-PromptTemplate-H9Udy{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true}],\"viewport\":{\"x\":343.0346131188585,\"y\":341.89843948642147,\"zoom\":0.24148408223121196}},\"is_component\":false,\"name\":\"Fluffy Ptolemy\",\"description\":\"\",\"id\":\"W5oNW\"}}},\"id\":\"GroupNode-WXPMk\",\"position\":{\"x\":873.0737834322758,\"y\":598.8401015776466},\"type\":\"genericNode\",\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":873.0737834322758,\"y\":598.8401015776466}}],\"edges\":[{\"source\":\"ChatOpenAI-VSAdc\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VSAdcœ}\",\"target\":\"LLMChain-H7PBy\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-H7PBy\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-VSAdc\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-VSAdc{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VSAdcœ}-LLMChain-H7PBy{œfieldNameœ:œllmœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\"},{\"source\":\"GroupNode-WXPMk\",\"sourceHandle\":\"{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œGroupNode-WXPMkœ}\",\"target\":\"LLMChain-H7PBy\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-H7PBy\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"GroupNode-WXPMk\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-GroupNode-WXPMk{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œGroupNode-WXPMkœ}-LLMChain-H7PBy{œfieldNameœ:œpromptœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":-348.6161822813733,\"y\":121.40545291211492,\"zoom\":0.6801854262029781}},\"is_component\":false,\"updated_at\":\"2023-12-04T23:22:27.784647\",\"folder\":null,\"id\":\"efc3bf27-3cf1-4561-9a83-3df347572440\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sad Joliot\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":338,\"id\":\"LLMChain-RQsU1\",\"type\":\"genericNode\",\"position\":{\"x\":514.4440482813261,\"y\":528.164086188516},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-RQsU1\"},\"selected\":false,\"positionAbsolute\":{\"x\":514.4440482813261,\"y\":528.164086188516}},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-NTTcv\",\"type\":\"genericNode\",\"position\":{\"x\":-221.33853765781578,\"y\":-35.48749923706055},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"0.1\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-NTTcv\"},\"selected\":false,\"positionAbsolute\":{\"x\":-221.33853765781578,\"y\":-35.48749923706055}},{\"width\":384,\"height\":374,\"id\":\"PromptTemplate-VELMV\",\"type\":\"genericNode\",\"position\":{\"x\":-222,\"y\":682.560723386973},\"data\":{\"id\":\"PromptTemplate-VELMV\",\"type\":\"PromptTemplate\",\"node\":{\"output_types\":[],\"display_name\":\"Web Scraper\",\"documentation\":\"\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"description\":\"Fetch and parse text and links from a given URL.\",\"template\":{\"code_CustomComponent-f6nOg\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"code\"},\"display_name\":\"Code\"},\"ignore_links_CustomComponent-f6nOg\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"ignore_links\"}},\"code_CustomComponent-FGzJJ\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-FGzJJ\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-0XtUN\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-0XtUN\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-ODIcp\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-ODIcp\",\"field\":\"code\"},\"display_name\":\"Code\"},\"output_parser_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"output_parser\"},\"display_name\":\"Output Parser\"},\"input_types_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_types\"},\"display_name\":\"Input Types\"},\"input_variables_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"],\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_variables\"},\"display_name\":\"Input Variables\"},\"partial_variables_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"partial_variables\"},\"display_name\":\"Partial Variables\"},\"template_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\",\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template\"},\"display_name\":\"Template\"},\"template_format_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template_format\"},\"display_name\":\"Template Format\"},\"validate_template_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"validate_template\"},\"display_name\":\"Validate Template\"},\"query_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"query\"}},\"code_CustomComponent-OACE0\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"code\"},\"display_name\":\"Code\"},\"url_CustomComponent-OACE0\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"url\"},\"value\":\"https://paperswithcode.com/\"},\"code_CustomComponent-whsQ5\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n    display_name: str = \\\"List to Bullets\\\"\\n    description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n    def build(self, items: list) -> str:\\n        markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n        return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-whsQ5\",\"field\":\"code\"},\"display_name\":\"Code\"}},\"flow\":{\"data\":{\"nodes\":[{\"width\":384,\"height\":405,\"id\":\"CustomComponent-f6nOg\",\"type\":\"genericNode\",\"position\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-f6nOg\"},\"selected\":true,\"positionAbsolute\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"dragging\":false},{\"width\":384,\"height\":375,\"id\":\"CustomComponent-FGzJJ\",\"type\":\"genericNode\",\"position\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-FGzJJ\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-0XtUN\",\"type\":\"genericNode\",\"position\":{\"x\":214.00059169497604,\"y\":177.27071061129823},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse HTML\",\"custom_fields\":{\"html_content\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-0XtUN\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":214.00059169497604,\"y\":177.27071061129823}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-ODIcp\",\"type\":\"genericNode\",\"position\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract Hyperlinks\",\"custom_fields\":{\"soup\":null},\"output_types\":[\"list\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-ODIcp\"},\"selected\":true,\"positionAbsolute\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"dragging\":false},{\"width\":384,\"height\":657,\"id\":\"PromptTemplate-H9Udy\",\"type\":\"genericNode\",\"position\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_markdown\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_markdown\",\"display_name\":\"html_markdown\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_links\",\"display_name\":\"html_links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-H9Udy\"},\"selected\":true,\"positionAbsolute\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"dragging\":false},{\"width\":384,\"height\":347,\"id\":\"CustomComponent-OACE0\",\"type\":\"genericNode\",\"position\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":null,\"base_classes\":[\"str\"],\"display_name\":\"URL Input\",\"custom_fields\":{\"url\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-OACE0\"},\"selected\":true,\"positionAbsolute\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"dragging\":false},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-whsQ5\",\"type\":\"genericNode\",\"position\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n    display_name: str = \\\"List to Bullets\\\"\\n    description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n    def build(self, items: list) -> str:\\n        markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n        return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"items\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"items\",\"display_name\":\"items\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"list\",\"list\":true}},\"description\":\"Converts a Python list into Markdown bullet points.\",\"base_classes\":[\"str\"],\"display_name\":\"List to Bullets\",\"custom_fields\":{\"items\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-whsQ5\"},\"selected\":true,\"positionAbsolute\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"dragging\":false}],\"edges\":[{\"source\":\"CustomComponent-FGzJJ\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}\",\"target\":\"CustomComponent-f6nOg\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-f6nOgœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-f6nOg\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-FGzJJ\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-FGzJJ{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}-CustomComponent-f6nOg{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-f6nOgœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-FGzJJ\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}\",\"target\":\"CustomComponent-0XtUN\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-0XtUNœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-0XtUN\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-FGzJJ\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-FGzJJ{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}-CustomComponent-0XtUN{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-0XtUNœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-0XtUN\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-0XtUNœ}\",\"target\":\"CustomComponent-ODIcp\",\"targetHandle\":\"{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-ODIcpœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"soup\",\"id\":\"CustomComponent-ODIcp\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-0XtUN\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-0XtUN{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-0XtUNœ}-CustomComponent-ODIcp{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-ODIcpœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-OACE0\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}\",\"target\":\"CustomComponent-FGzJJ\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œCustomComponent-FGzJJœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"CustomComponent-FGzJJ\",\"inputTypes\":[\"Data\",\"str\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-OACE0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-OACE0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}-CustomComponent-FGzJJ{œfieldNameœ:œurlœ,œidœ:œCustomComponent-FGzJJœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-OACE0\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-OACE0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-OACE0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}-PromptTemplate-H9Udy{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-ODIcp\",\"sourceHandle\":\"{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ODIcpœ}\",\"target\":\"CustomComponent-whsQ5\",\"targetHandle\":\"{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-whsQ5œ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"items\",\"id\":\"CustomComponent-whsQ5\",\"inputTypes\":null,\"type\":\"list\"},\"sourceHandle\":{\"baseClasses\":[\"list\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-ODIcp\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-ODIcp{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ODIcpœ}-CustomComponent-whsQ5{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-whsQ5œ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"selected\":true},{\"source\":\"CustomComponent-whsQ5\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-whsQ5œ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_links\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-whsQ5\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-whsQ5{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-whsQ5œ}-PromptTemplate-H9Udy{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-f6nOg\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-f6nOgœ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_markdown\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-f6nOg\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-f6nOg{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-f6nOgœ}-PromptTemplate-H9Udy{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true}],\"viewport\":{\"x\":343.0346131188585,\"y\":341.89843948642147,\"zoom\":0.24148408223121196}},\"is_component\":false,\"name\":\"Fluffy Ptolemy\",\"description\":\"\",\"id\":\"W5oNW\"}}},\"selected\":false,\"positionAbsolute\":{\"x\":-222,\"y\":682.560723386973}}],\"edges\":[{\"source\":\"ChatOpenAI-NTTcv\",\"target\":\"LLMChain-RQsU1\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-NTTcvœ}\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-RQsU1œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"id\":\"reactflow__edge-ChatOpenAI-NTTcv{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-NTTcvœ}-LLMChain-RQsU1{œfieldNameœ:œllmœ,œidœ:œLLMChain-RQsU1œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-RQsU1\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-NTTcv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 \",\"animated\":false,\"selected\":false},{\"source\":\"PromptTemplate-VELMV\",\"target\":\"LLMChain-RQsU1\",\"sourceHandle\":\"{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-VELMVœ}\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-RQsU1œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"id\":\"reactflow__edge-PromptTemplate-VELMV{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-VELMVœ}-LLMChain-RQsU1{œfieldNameœ:œpromptœ,œidœ:œLLMChain-RQsU1œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-RQsU1\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-VELMV\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 \",\"animated\":false,\"selected\":false}],\"viewport\":{\"x\":298.29888454238517,\"y\":96.95765543775741,\"zoom\":0.5140569133280332}},\"is_component\":false,\"updated_at\":\"2023-12-04T23:23:08.584967\",\"folder\":null,\"id\":\"5df79f1d-f592-4d59-8c0f-9f3c2f6465b1\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Silly Pasteur\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":338,\"id\":\"LLMChain-cHel8\",\"type\":\"genericNode\",\"position\":{\"x\":547.3876889720291,\"y\":299.2057833881307},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-cHel8\"},\"selected\":false,\"positionAbsolute\":{\"x\":547.3876889720291,\"y\":299.2057833881307},\"dragging\":false},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-LA6y0\",\"type\":\"genericNode\",\"position\":{\"x\":-272.94405331278074,\"y\":-603.148171441675},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"0.1\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-LA6y0\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":-272.94405331278074,\"y\":-603.148171441675}},{\"width\":384,\"height\":404,\"id\":\"CustomComponent-ZNoRM\",\"type\":\"genericNode\",\"position\":{\"x\":-103.65741264289085,\"y\":134.62332404764658},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-ZNoRM\"},\"selected\":false,\"positionAbsolute\":{\"x\":-103.65741264289085,\"y\":134.62332404764658},\"dragging\":false},{\"width\":384,\"height\":374,\"id\":\"CustomComponent-zNSTv\",\"type\":\"genericNode\",\"position\":{\"x\":-1233.3963469933499,\"y\":280.77850809220325},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-zNSTv\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":-1233.3963469933499,\"y\":280.77850809220325}},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-Ihm2o\",\"type\":\"genericNode\",\"position\":{\"x\":-554.9404152016002,\"y\":683.6763775860567},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse HTML\",\"custom_fields\":{\"html_content\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-Ihm2o\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":-554.9404152016002,\"y\":683.6763775860567}},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-6ST9l\",\"type\":\"genericNode\",\"position\":{\"x\":76.10921262566495,\"y\":872.9491114949525},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract Hyperlinks\",\"custom_fields\":{\"soup\":null},\"output_types\":[\"list\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-6ST9l\"},\"selected\":false,\"positionAbsolute\":{\"x\":76.10921262566495,\"y\":872.9491114949525},\"dragging\":false},{\"width\":384,\"height\":654,\"id\":\"PromptTemplate-l35W1\",\"type\":\"genericNode\",\"position\":{\"x\":1461.4487148097069,\"y\":1090.896175351284},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"display_name\":\"output_parser\"},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"display_name\":\"input_types\"},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"],\"display_name\":\"input_variables\"},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"display_name\":\"partial_variables\"},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\",\"display_name\":\"template\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false,\"display_name\":\"template_format\"},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"display_name\":\"validate_template\"},\"_type\":\"PromptTemplate\",\"url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_markdown\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_markdown\",\"display_name\":\"html_markdown\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_links\",\"display_name\":\"html_links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-l35W1\"},\"selected\":false,\"positionAbsolute\":{\"x\":1461.4487148097069,\"y\":1090.896175351284},\"dragging\":false},{\"width\":384,\"height\":346,\"id\":\"CustomComponent-iTLf4\",\"type\":\"genericNode\",\"position\":{\"x\":-1924.8908014123388,\"y\":704.5414990162741},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"https://paperswithcode.com/\"}},\"description\":null,\"base_classes\":[\"str\"],\"display_name\":\"URL Input\",\"custom_fields\":{\"url\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-iTLf4\"},\"selected\":false,\"positionAbsolute\":{\"x\":-1924.8908014123388,\"y\":704.5414990162741},\"dragging\":false},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-jWLUz\",\"type\":\"genericNode\",\"position\":{\"x\":627.6164007410564,\"y\":1201.2365384322047},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n    display_name: str = \\\"List to Bullets\\\"\\n    description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n    def build(self, items: list) -> str:\\n        markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n        return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"items\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"items\",\"display_name\":\"items\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"list\",\"list\":true}},\"description\":\"Converts a Python list into Markdown bullet points.\",\"base_classes\":[\"str\"],\"display_name\":\"List to Bullets\",\"custom_fields\":{\"items\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-jWLUz\"},\"selected\":false,\"positionAbsolute\":{\"x\":627.6164007410564,\"y\":1201.2365384322047},\"dragging\":false}],\"edges\":[{\"source\":\"ChatOpenAI-LA6y0\",\"target\":\"LLMChain-cHel8\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-LA6y0œ}\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-cHel8œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"id\":\"reactflow__edge-ChatOpenAI-LA6y0{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-LA6y0œ}-LLMChain-cHel8{œfieldNameœ:œllmœ,œidœ:œLLMChain-cHel8œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-cHel8\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-LA6y0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"CustomComponent-zNSTv\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-zNSTvœ}\",\"target\":\"CustomComponent-ZNoRM\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-ZNoRMœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-ZNoRM\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-zNSTv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-zNSTv{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-zNSTvœ}-CustomComponent-ZNoRM{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-ZNoRMœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":false},{\"source\":\"CustomComponent-zNSTv\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-zNSTvœ}\",\"target\":\"CustomComponent-Ihm2o\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-Ihm2oœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-Ihm2o\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-zNSTv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-zNSTv{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-zNSTvœ}-CustomComponent-Ihm2o{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-Ihm2oœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":false},{\"source\":\"CustomComponent-Ihm2o\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-Ihm2oœ}\",\"target\":\"CustomComponent-6ST9l\",\"targetHandle\":\"{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-6ST9lœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"soup\",\"id\":\"CustomComponent-6ST9l\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-Ihm2o\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-Ihm2o{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-Ihm2oœ}-CustomComponent-6ST9l{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-6ST9lœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":false},{\"source\":\"CustomComponent-iTLf4\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-iTLf4œ}\",\"target\":\"CustomComponent-zNSTv\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œCustomComponent-zNSTvœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"CustomComponent-zNSTv\",\"inputTypes\":[\"Data\",\"str\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-iTLf4\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-iTLf4{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-iTLf4œ}-CustomComponent-zNSTv{œfieldNameœ:œurlœ,œidœ:œCustomComponent-zNSTvœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"selected\":false},{\"source\":\"CustomComponent-iTLf4\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-iTLf4œ}\",\"target\":\"PromptTemplate-l35W1\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"PromptTemplate-l35W1\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-iTLf4\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-iTLf4{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-iTLf4œ}-PromptTemplate-l35W1{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":false},{\"source\":\"CustomComponent-6ST9l\",\"sourceHandle\":\"{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-6ST9lœ}\",\"target\":\"CustomComponent-jWLUz\",\"targetHandle\":\"{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-jWLUzœ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"items\",\"id\":\"CustomComponent-jWLUz\",\"inputTypes\":null,\"type\":\"list\"},\"sourceHandle\":{\"baseClasses\":[\"list\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-6ST9l\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-6ST9l{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-6ST9lœ}-CustomComponent-jWLUz{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-jWLUzœ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"selected\":false},{\"source\":\"CustomComponent-jWLUz\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-jWLUzœ}\",\"target\":\"PromptTemplate-l35W1\",\"targetHandle\":\"{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_links\",\"id\":\"PromptTemplate-l35W1\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-jWLUz\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-jWLUz{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-jWLUzœ}-PromptTemplate-l35W1{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":false},{\"source\":\"CustomComponent-ZNoRM\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ZNoRMœ}\",\"target\":\"PromptTemplate-l35W1\",\"targetHandle\":\"{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_markdown\",\"id\":\"PromptTemplate-l35W1\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-ZNoRM\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-ZNoRM{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ZNoRMœ}-PromptTemplate-l35W1{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":false},{\"source\":\"PromptTemplate-l35W1\",\"sourceHandle\":\"{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-l35W1œ}\",\"target\":\"LLMChain-cHel8\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-cHel8œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-cHel8\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-l35W1\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-PromptTemplate-mJqEg{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-mJqEgœ}-LLMChain-cHel8{œfieldNameœ:œpromptœ,œidœ:œLLMChain-cHel8œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":206.6159172940935,\"y\":79.94375811155385,\"zoom\":0.5140569133280333}},\"is_component\":false,\"updated_at\":\"2023-12-06T00:23:04.515144\",\"folder\":null,\"id\":\"ecfb377a-7e88-405d-8d66-7560735ce446\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Lovelace\",\"description\":\"Smart Chains, Smarter Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-04T23:43:25.925753\",\"folder\":null,\"id\":\"30e71767-6128-40e4-9a6d-b9197b679971\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Custom Component\",\"description\":\"Create any custom component you want!\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\n\\nclass Component(CustomComponent):\\n    display_name: str = \\\"Custom Component\\\"\\n    description: str = \\\"Create any custom component you want!\\\"\\n    documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n    def build_config(self):\\n        return {\\\"param\\\": {\\\"display_name\\\": \\\"Parameter\\\"}}\\n\\n    def build(self, param: Data) -> Data:\\n        return param\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"param\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"param\",\"display_name\":\"Parameter\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Create any custom component you want!\",\"base_classes\":[\"Data\"],\"display_name\":\"Custom Component\",\"custom_fields\":{\"param\":null},\"output_types\":[\"CustomComponent\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-IxJqc\"},\"id\":\"CustomComponent-IxJqc\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-05T22:08:27.080204\",\"folder\":null,\"id\":\"f3c56abb-96d8-4a09-80d3-f60181661b3c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazing Wilson\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-05T23:49:58.272677\",\"folder\":null,\"id\":\"324499a6-17a6-49de-96b1-b88955ed2c3d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nauseous Kowalevski\",\"description\":\"Create, Curate, Communicate with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:27.084387\",\"folder\":null,\"id\":\"e3168485-d31b-472a-907f-faf833bf7824\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Silly Fermi\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.134463\",\"folder\":null,\"id\":\"d0ecea5d-bcf9-4b8e-88f0-3c243d309336\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Friendly Ardinghelli\",\"description\":\"Smart Chains, Smarter Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.138184\",\"folder\":null,\"id\":\"a406912d-b0e2-4954-bef3-ee80c29eca3c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Easley\",\"description\":\"Bridging Prompts for Brilliance.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.162908\",\"folder\":null,\"id\":\"57b32155-4c6e-4823-ad03-8dd09d8abc62\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Varahamihira\",\"description\":\"Create, Chain, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.135644\",\"folder\":null,\"id\":\"18daa0ff-2e5d-457a-95d7-710affec5c4d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jubilant Joliot\",\"description\":\"Language Architect at Work!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.139496\",\"folder\":null,\"id\":\"9255e938-280e-4ce7-91cd-8622126a7d02\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Adoring Carroll\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.162240\",\"folder\":null,\"id\":\"a7a680b9-30b1-4438-ac24-da597de443aa\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Berserk Herschel\",\"description\":\"Your Hub for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:46:02.593504\",\"folder\":null,\"id\":\"37a439b0-7b1d-45e3-b4fa-5c73669bae3b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Distracted Joliot\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:04.845238\",\"folder\":null,\"id\":\"4d23fd0a-8ad5-46b9-bb99-eed4138e7426\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Happy Babbage\",\"description\":\"Flow into the Future of Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:41.899665\",\"folder\":null,\"id\":\"1c8ad5b9-5524-41fe-a762-52c75126b832\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Adoring Brown\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.702031\",\"folder\":null,\"id\":\"9d4c8e79-4904-4a51-a4bb-146c3d8db10e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Focused Mahavira\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.786331\",\"folder\":null,\"id\":\"4ba370d1-1f8e-4a23-99aa-99e2cd9b7cbf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mad Gates\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.838989\",\"folder\":null,\"id\":\"992c3cd3-1d79-4986-8c04-88a34130fa30\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Serene Mcclintock\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.932723\",\"folder\":null,\"id\":\"a65bfd13-44df-4090-aca0-5057e21e9997\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Berserk Feynman\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.931359\",\"folder\":null,\"id\":\"7a05dac5-c005-411d-9994-19d61e71ce78\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sprightly Perlman\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:43.054687\",\"folder\":null,\"id\":\"6db24541-7211-48e6-a792-1a4a99a0ef90\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jolly Colden\",\"description\":\"Flow into the Future of Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:43.078384\",\"folder\":null,\"id\":\"13ac42e8-9124-4bf4-9ea2-28671ef2d9a4\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Kaku\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:50:33.156776\",\"folder\":null,\"id\":\"79262d75-5c62-4b14-b067-f4297f5c912f\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jovial Khayyam\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:51:13.295375\",\"folder\":null,\"id\":\"3b397e74-d8be-4728-9d6c-05f7c78106a7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Mccarthy\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:51:27.632685\",\"folder\":null,\"id\":\"13f4e1fd-45eb-4271-92fd-0d70a31c61d2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cocky Lalande\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:51:54.628983\",\"folder\":null,\"id\":\"9cfd60d8-9311-47b0-b71b-f488f1940bc7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Romantic Mirzakhani\",\"description\":\"Innovation in Interaction with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:52:52.622698\",\"folder\":null,\"id\":\"0d849403-0f75-455d-b4e4-0d622ee3305a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grinning Brown\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:53:06.056636\",\"folder\":null,\"id\":\"8643ba14-52d6-4d36-9981-5fd37de5dd76\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Kickass Watt\",\"description\":\"Transform Your Business with Smart Dialogues.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:53:23.338727\",\"folder\":null,\"id\":\"818d3066-bf08-4bf9-adcd-739f8abbfa5d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Bose\",\"description\":\"Unravel the Art of Articulation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:53:41.218861\",\"folder\":null,\"id\":\"28eff43e-0ecf-47bf-9851-f1492589978e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Optimistic Jennings\",\"description\":\"Create Powerful Connections, Boost Business Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:55:03.681106\",\"folder\":null,\"id\":\"68f59069-bc2a-464f-a983-4b61e32e01af\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pedantic Mirzakhani\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:55:31.761949\",\"folder\":null,\"id\":\"5d981c0e-81b3-44cc-a5be-8f55b92bfed5\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Peppy Murdock\",\"description\":\"Create Powerful Connections, Boost Business Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:56:45.548598\",\"folder\":null,\"id\":\"e812ad47-47e8-422b-b94c-84fd0263c9c8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Berserk Fermat\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:58:50.234270\",\"folder\":null,\"id\":\"82aaf449-e737-4699-9360-929ab6108dc7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tiny Albattani\",\"description\":\"Your Toolkit for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:59:53.946035\",\"folder\":null,\"id\":\"097cb080-274b-40ca-8dde-7900a949568a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cranky Kirch\",\"description\":\"Sculpting Language with Precision.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:00:51.745350\",\"folder\":null,\"id\":\"837d7b5f-8495-46a9-b00e-ad1b7ebb52f4\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Kowalevski\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:02:53.336102\",\"folder\":null,\"id\":\"3ff079c2-d9f9-4da6-a22a-423fa35670ff\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Radiant Stallman\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:03:28.268357\",\"folder\":null,\"id\":\"c8b204dd-3d57-4bc8-aa13-1d559672e75b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grinning Swirles\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:03:51.194455\",\"folder\":null,\"id\":\"a097f083-5880-4cf7-986b-51898bc68e11\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Dreamy Williams\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:04:36.678251\",\"folder\":null,\"id\":\"d9585f63-ce76-42ce-87bc-8e69601ea5c6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Zany Hawking\",\"description\":\"Flow into the Future of Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:05:13.672479\",\"folder\":null,\"id\":\"612a01d5-8c8d-4cc1-8c54-35626b7f4a6d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazing Kilby\",\"description\":\"Your Toolkit for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:10:37.047955\",\"folder\":null,\"id\":\"2d05a598-3cdf-452a-bd5d-b0e569e562e3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Insane Cori\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:18:12.426578\",\"folder\":null,\"id\":\"d1769a4a-c1e9-4d74-9273-1e76cfcf21f3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Compassionate Tesla\",\"description\":\"Graph Your Way to Great Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:18:52.806238\",\"folder\":null,\"id\":\"28c5d9dd-0466-4c80-9e58-b1e061cd358d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jubilant Goldstine\",\"description\":\"Harness the Power of Conversational AI.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:21:44.488510\",\"folder\":null,\"id\":\"b3c57e4f-28a1-4580-bf08-a9484bdd66e8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Elegant Curie\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:23:47.610237\",\"folder\":null,\"id\":\"28fb024e-6ba1-4f5b-83b3-4742b3b8117c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Chandrasekhar\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:24:29.824530\",\"folder\":null,\"id\":\"d2b87cf7-9167-4030-8e9f-b8d9aa0cadee\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Nobel\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:26:51.210699\",\"folder\":null,\"id\":\"c2c9fbac-7d97-40c2-8055-dff608df9414\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Elated Edison\",\"description\":\"Advanced NLP for Groundbreaking Business Solutions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:27:35.822482\",\"folder\":null,\"id\":\"a55561cd-4b25-473f-bde5-884cbabb0d24\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Dazzling Lichterman\",\"description\":\"Building Linguistic Labyrinths.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:29:09.259381\",\"folder\":null,\"id\":\"9c6fe6d4-8311-4fc6-8b02-2a816d7c059d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Distracted Bhaskara\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:31:36.053452\",\"folder\":null,\"id\":\"ef6fc1ab-aff8-45a1-8cd5-bc8e38565e4d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Watt\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:32:26.765250\",\"folder\":null,\"id\":\"499b5351-9c09-4934-9f9d-a24be2fd8b24\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jolly Wien\",\"description\":\"Bridging Prompts for Brilliance.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:33:23.648859\",\"folder\":null,\"id\":\"a57eda91-7f6e-410d-9990-385fe0c724f3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nostalgic Spence\",\"description\":\"Mapping Meaningful Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:34:22.576407\",\"folder\":null,\"id\":\"685f685e-8a1b-4b7e-9e21-6cdd72163c91\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Comical Fermat\",\"description\":\"Create, Connect, Converse.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:35:44.920540\",\"folder\":null,\"id\":\"3e061766-b834-4fa4-ba9c-b060925d9703\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grave Volta\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:36:33.001572\",\"folder\":null,\"id\":\"135f2fd9-e005-40bc-a9bf-c25107388415\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Davinci\",\"description\":\"Create Powerful Connections, Boost Business Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:37:16.208823\",\"folder\":null,\"id\":\"167cdb24-7e1c-475b-893a-cca2f125426c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hilarious Sinoussi\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:38:07.215401\",\"folder\":null,\"id\":\"48113cab-2c04-493f-8c2e-c8d067826aa2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grave Sagan\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:39:19.479656\",\"folder\":null,\"id\":\"28d292dc-e094-4ffe-a657-178892933267\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cranky Hoover\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:40:02.895859\",\"folder\":null,\"id\":\"0c9849b7-b2d6-4d0e-8334-abfb3ae183dd\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Mendeleev\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:40:27.867247\",\"folder\":null,\"id\":\"d78c52e9-1941-4555-9bb9-abd01f176705\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Dubinsky\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:41:23.177402\",\"folder\":null,\"id\":\"5277a04c-b5da-4597-aaa2-a6b66ea11d02\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cocky Poitras\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:42:08.731865\",\"folder\":null,\"id\":\"b0d0c8de-4eea-484a-a068-b13e63f7e71c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pedantic Ptolemy\",\"description\":\"Crafting Conversations, One Node at a Time.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:42:25.658996\",\"folder\":null,\"id\":\"b6f155e2-03eb-4232-9bab-145463382fe9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Loving Cray\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:43:57.530112\",\"folder\":null,\"id\":\"b75c10ca-9ecb-432b-88ab-e1847e836e22\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Pasteur\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:44:58.979393\",\"folder\":null,\"id\":\"3710eccb-e7a7-41d5-9339-d9c301515d17\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Gates\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:45:42.744174\",\"folder\":null,\"id\":\"fdd2271e-92f6-4349-8c01-2ec0e9e73f13\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Determined Khorana\",\"description\":\"Beyond Text Generation - Unleashing Business Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:46:10.084684\",\"folder\":null,\"id\":\"88b49a97-0888-4fea-8d9b-6ac2cc6d158e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Booth\",\"description\":\"Design Dialogues with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:46:41.577750\",\"folder\":null,\"id\":\"629afe54-8796-45be-a570-e3ac79c60792\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jubilant Mendeleev\",\"description\":\"Chain the Words, Master Language!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:47:22.631243\",\"folder\":null,\"id\":\"7bf481b0-73fe-4f5b-a3d4-1263d9d8e827\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Clever Varahamihira\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:49:51.026960\",\"folder\":null,\"id\":\"df9e86b6-56c9-4848-9010-102615314766\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sleepy Stallman\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:50:14.932236\",\"folder\":null,\"id\":\"3e66994c-9b7a-4b85-a917-65d1959d7352\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Modest Wozniak\",\"description\":\"Advanced NLP for Groundbreaking Business Solutions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:51:13.811894\",\"folder\":null,\"id\":\"d10f924a-5780-4255-9f41-3e102ae03e84\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hopeful Mirzakhani\",\"description\":\"Graph Your Way to Great Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:52:23.906908\",\"folder\":null,\"id\":\"f3378fa8-ccaf-4a3b-90d6-b8ab0c4e481f\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Awesome Joule\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:52:43.863440\",\"folder\":null,\"id\":\"deaa50e7-a8b1-46b1-856c-334ee781e1c2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Peppy Shockley\",\"description\":\"Generate, Innovate, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:53:43.299699\",\"folder\":null,\"id\":\"c72eac2c-d924-40c6-a102-da524216d090\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Zany Dewey\",\"description\":\"Flow into the Future of Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:54:18.848827\",\"folder\":null,\"id\":\"d9425324-bb60-462e-b431-90a536f2bc76\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gloomy Joliot\",\"description\":\"Language Engineering Excellence.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:12.348608\",\"folder\":null,\"id\":\"621ba134-3fac-487c-98cd-96941439f1be\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Backstabbing Franklin\",\"description\":\"Craft Language Connections Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.491824\",\"folder\":null,\"id\":\"86ca9773-c7b7-4a1a-859a-6cbe0ddff206\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sharp Swartz\",\"description\":\"Beyond Text Generation - Unleashing Business Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.524414\",\"folder\":null,\"id\":\"da1c02b7-d608-4498-9946-7d02f55fa103\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Serene Volta\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.641432\",\"folder\":null,\"id\":\"8d5dd998-6b51-4f65-8331-086a7f3b11d7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Focused Lichterman\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.746120\",\"folder\":null,\"id\":\"942027d3-e2ea-48c6-8279-0a41b54e8862\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Einstein\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.746904\",\"folder\":null,\"id\":\"9e9b6298-1073-4297-8ecc-3c620b432e70\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cocky Planck\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.747420\",\"folder\":null,\"id\":\"7cd60c83-b797-4e60-af6d-cbc540657943\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Suspicious Zobell\",\"description\":\"Innovation in Interaction, Revolution in Revenue.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.749951\",\"folder\":null,\"id\":\"dab08306-9521-4e15-aa11-e6a6a4e210f8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Small Knuth\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:16.772119\",\"folder\":null,\"id\":\"c9149590-636a-44f5-aaae-45a4e78fe4df\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Wright\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:52.954568\",\"folder\":null,\"id\":\"6b23b2ad-c07c-46f6-b9ad-268783d1712e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Vibrant Lalande\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.656156\",\"folder\":null,\"id\":\"ece3bcf6-a147-4559-862e-cacff9db5f48\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Happy Gauss\",\"description\":\"The Pinnacle of Prompt Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.717991\",\"folder\":null,\"id\":\"252b6021-ecad-4eaf-9e2f-106c4c89c496\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gigantic Rosalind\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.736261\",\"folder\":null,\"id\":\"b8cb6d8d-c0fb-4e8d-a46e-2c608dc8a714\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Adoring Hubble\",\"description\":\"Powerful Prompts, Perfectly Positioned.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.769546\",\"folder\":null,\"id\":\"553a67db-7225-474c-978e-8a40cde2bfb2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Mclean\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.981063\",\"folder\":null,\"id\":\"e0865007-4d80-4edf-87ab-9e8d2892d719\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Trusting Murdock\",\"description\":\"Uncover Business Opportunities with NLP.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.982286\",\"folder\":null,\"id\":\"1021cd20-66e0-4b81-9c79-bfe729774d20\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Perky Riemann\",\"description\":\"Powerful Prompts, Perfectly Positioned.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.983216\",\"folder\":null,\"id\":\"089074d3-8a1e-4d85-a59d-b4717090e4d3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Small Tesla\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:00:35.704142\",\"folder\":null,\"id\":\"beb49d88-255e-4db4-931b-4ab4358f1097\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Boyd\",\"description\":\"Smart Chains, Smarter Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:01:13.569507\",\"folder\":null,\"id\":\"75b5ab8d-e0c0-43cf-912b-8578550e198a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Small Babbage\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:01:27.944868\",\"folder\":null,\"id\":\"503edd55-8f70-43e5-87fb-2324eaf62336\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Bose\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:02:40.122079\",\"folder\":null,\"id\":\"ae4f2992-1a23-4a43-bec6-68b823935762\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Coulomb\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.263237\",\"folder\":null,\"id\":\"a2a464db-b02a-4440-ad9e-7b552ee6c027\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Drunk Newton\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.883766\",\"folder\":null,\"id\":\"1a5d9af7-5a96-4035-a09c-e15741785828\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jovial Pasteur\",\"description\":\"Your Hub for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.933083\",\"folder\":null,\"id\":\"04b94873-0828-41dc-a850-fd4132c9b9f1\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Playful Spence\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.967685\",\"folder\":null,\"id\":\"47003dc2-7884-48a3-aa66-e4185079f4d9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cheerful Noyce\",\"description\":\"Your Passport to Linguistic Landscapes.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.983198\",\"folder\":null,\"id\":\"13769cb4-2e15-4d54-a28a-c97dc15db58c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Awesome Edison\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:16.018879\",\"folder\":null,\"id\":\"453dacde-6b10-406b-a5b3-f90f44be6899\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Upbeat Snyder\",\"description\":\"Powerful Prompts, Perfectly Positioned.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:16.205689\",\"folder\":null,\"id\":\"9544fac9-3002-47aa-86b9-102844fe9649\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tender Khorana\",\"description\":\"Chain the Words, Master Language!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:16.243434\",\"folder\":null,\"id\":\"90498ef6-34f9-45c8-8cd0-fe6a36a26f41\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Elated Albattani\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:05:07.775497\",\"folder\":null,\"id\":\"9577c416-8ce8-48f6-ad6d-ab2e003bb415\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Charming Goodall\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:07:52.139318\",\"folder\":null,\"id\":\"f10dc08e-b9c7-44b3-8837-b95aee2f6dbb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hilarious Ramanujan\",\"description\":\"Harness the Power of Conversational AI.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:08:22.448480\",\"folder\":null,\"id\":\"c864bd8c-67cd-465f-bf7d-7a35c7df37f3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tender Mclean\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:09:56.507826\",\"folder\":null,\"id\":\"f0c13b19-ae23-40e6-88d6-d135897ee100\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grave Hawking\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:10:27.169757\",\"folder\":null,\"id\":\"0afb91b4-8f41-4270-900a-f5de647d45ad\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gloomy Lovelace\",\"description\":\"Your Passport to Linguistic Landscapes.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:11:02.292233\",\"folder\":null,\"id\":\"0f1e5dcf-8769-4157-b495-5f215b490107\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Fervent Kilby\",\"description\":\"Empowering Enterprises with Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:11:46.960966\",\"folder\":null,\"id\":\"310d03d9-dd50-4946-9a27-38ee06906212\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Admiring Almeida\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:12:24.475101\",\"folder\":null,\"id\":\"3cbc8fc2-a86f-4177-9a1c-a833b2a24283\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Elated Roentgen\",\"description\":\"Empowering Enterprises with Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:06.753571\",\"folder\":null,\"id\":\"c508e922-29e9-4234-84ae-505c5bdf41c1\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Perky Poitras\",\"description\":\"Chain the Words, Master Language!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.754605\",\"folder\":null,\"id\":\"1431df05-1b6f-41af-a063-a18d26a946ef\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tender Khayyam\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.791627\",\"folder\":null,\"id\":\"344e03fb-fd49-4e87-be67-7dce04ba655b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Zealous Mayer\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.803889\",\"folder\":null,\"id\":\"8b3ff1cb-3a6c-46ee-b09a-0e9f9f13a8b9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tiny Ramanujan\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.822583\",\"folder\":null,\"id\":\"18961e76-f4b1-4968-926a-fed22cb04f69\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cheerful Franklin\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.854440\",\"folder\":null,\"id\":\"0e0ee854-ab46-4333-a848-2e1239a24334\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Serene Swirles\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.988932\",\"folder\":null,\"id\":\"cc7b8238-3d15-4f78-bd0c-8311691c9ff8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sleepy Swartz\",\"description\":\"Uncover Business Opportunities with NLP.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:08.028688\",\"folder\":null,\"id\":\"123369f9-c83c-4ed3-93b6-78ca29c271cf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cranky Kowalevski\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.097607\",\"folder\":null,\"id\":\"ed4b1490-e9e5-46bf-b337-166b48eaadd6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sprightly Golick\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.617772\",\"folder\":null,\"id\":\"9d1be311-c618-4e3e-aeb1-4161ab37850e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Boring Newton\",\"description\":\"Generate, Innovate, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.646124\",\"folder\":null,\"id\":\"63a75f99-1745-40d3-9e27-3d19a143be45\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sprightly Noyce\",\"description\":\"Beyond Text Generation - Unleashing Business Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.685781\",\"folder\":null,\"id\":\"b418ca87-eb17-42e8-b789-3fcb0cab3ddb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Fluffy Fermat\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.705984\",\"folder\":null,\"id\":\"93802b07-eee9-4a2b-8691-7d9a231bd67e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Stoic Payne\",\"description\":\"Beyond Text Generation - Unleashing Business Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.723990\",\"folder\":null,\"id\":\"d62df661-0ae5-4b41-a9fb-71cb2e46ad52\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Darwin\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.818343\",\"folder\":null,\"id\":\"d1f62248-415c-474a-bfa6-3509a528a33b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Focused Thompson\",\"description\":\"Transform Your Business with Smart Dialogues.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.925999\",\"folder\":null,\"id\":\"d2267176-f020-4c52-90a4-7f944d7c1749\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Admiring Dewey\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:07.400402\",\"folder\":null,\"id\":\"8cf1ac8d-d34d-4e8a-a9da-be44672e1dfb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Prickly Zuse\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.384611\",\"folder\":null,\"id\":\"bae3cb5b-0f1b-4e95-bf58-7eab38da3d73\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hungry Zuse\",\"description\":\"The Pinnacle of Prompt Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.436591\",\"folder\":null,\"id\":\"4dfafe3e-e9ef-405d-be72-550084411d69\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Khayyam\",\"description\":\"Design Dialogues with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.435958\",\"folder\":null,\"id\":\"e0f81215-dc55-4b5a-b8cf-6e2fcbf297a7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Big Mendel\",\"description\":\"Innovation in Interaction with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.470080\",\"folder\":null,\"id\":\"5022a71c-da47-4975-a4d0-6d2d9e760d3d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Inquisitive Poitras\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.484430\",\"folder\":null,\"id\":\"4f1ff9e3-3500-404c-80af-2010bc46cdcb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Joyous Jones\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.661306\",\"folder\":null,\"id\":\"77af3e47-c2cc-42f6-99e1-78589439a447\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Exuberant Khayyam\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.662877\",\"folder\":null,\"id\":\"6f3e2e56-b329-47e3-86cc-024c29203016\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Dazzling Visvesvaraya\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.092917\",\"folder\":null,\"id\":\"449ac0ee-ee29-4a9f-9aff-fd6a86624457\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nostalgic Tesla\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.630382\",\"folder\":null,\"id\":\"a2136ed3-dc75-4a8f-ab34-6887ff955b23\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Noether\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.652058\",\"folder\":null,\"id\":\"fd1080f8-db07-481a-b2ba-60f67fcb20a6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Dazzling Pasteur\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.688661\",\"folder\":null,\"id\":\"d534d5e1-92aa-4fb2-a795-7071c4feba47\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Comical Sinoussi\",\"description\":\"Bridging Prompts for Brilliance.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.741385\",\"folder\":null,\"id\":\"85323170-c066-4d8f-acb0-1b142241389e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Small Ramanujan\",\"description\":\"Uncover Business Opportunities with NLP.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.790086\",\"folder\":null,\"id\":\"b0d18432-21ab-404b-acb6-57ef97353fad\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sick Joliot\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":442,\"id\":\"OpenAIEmbeddings-rVj1B\",\"type\":\"genericNode\",\"position\":{\"x\":-100.23754663035719,\"y\":-718.7575880388187},\"data\":{\"type\":\"OpenAIEmbeddings\",\"node\":{\"template\":{\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1000,\"password\":false,\"name\":\"chunk_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"deployment\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"embedding_ctx_length\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":8191,\"password\":false,\"name\":\"embedding_ctx_length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"password\":false,\"name\":\"headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_type\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_version\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"show_progress_bar\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"show_progress_bar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"skip_empty\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"skip_empty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_enabled\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":true,\"name\":\"tiktoken_enabled\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"OpenAIEmbeddings\"},\"description\":\"OpenAI embedding models.\",\"base_classes\":[\"OpenAIEmbeddings\",\"Embeddings\"],\"display_name\":\"OpenAIEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAIEmbeddings-rVj1B\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-100.23754663035719,\"y\":-718.7575880388187}}],\"edges\":[],\"viewport\":{\"x\":267.7156633365312,\"y\":716.9644817529361,\"zoom\":0.7169776240079139}},\"is_component\":false,\"updated_at\":\"2023-12-08T18:52:26.999440\",\"folder\":null,\"id\":\"be39958a-ef42-4fa8-8e54-b611e56b5c97\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Graceful Lumiere\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:11.012069\",\"folder\":null,\"id\":\"f7dcecfd-533c-4f40-9dcb-f213962ed1a2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"aaaaa\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":442,\"id\":\"OpenAIEmbeddings-P6Z0D\",\"type\":\"genericNode\",\"position\":{\"x\":-100.23754663035719,\"y\":-718.7575880388187},\"data\":{\"type\":\"OpenAIEmbeddings\",\"node\":{\"template\":{\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1000,\"password\":false,\"name\":\"chunk_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"deployment\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"embedding_ctx_length\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":8191,\"password\":false,\"name\":\"embedding_ctx_length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"password\":false,\"name\":\"headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_type\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_version\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"show_progress_bar\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"show_progress_bar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"skip_empty\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"skip_empty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_enabled\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":true,\"name\":\"tiktoken_enabled\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"_type\":\"OpenAIEmbeddings\"},\"description\":\"OpenAI embedding models.\",\"base_classes\":[\"OpenAIEmbeddings\",\"Embeddings\"],\"display_name\":\"OpenAIEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAIEmbeddings-P6Z0D\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-100.23754663035719,\"y\":-718.7575880388187}}],\"edges\":[],\"viewport\":{\"x\":266.7156633365312,\"y\":657.9644817529361,\"zoom\":0.7169776240079139}},\"is_component\":false,\"updated_at\":\"2023-12-08T19:05:14.503144\",\"folder\":null,\"id\":\"c2411a20-57c6-44cc-a0d0-2c857453633d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Aryabhata\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":459,\"id\":\"CustomComponent-Qhbd7\",\"type\":\"genericNode\",\"position\":{\"x\":-224.36198532285903,\"y\":-39.03047722134913},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nfrom openai import OpenAI\\n\\n\\nclass Component(CustomComponent):\\n    display_name: str = \\\"OpenAI STT english translator\\\"\\n    description: str = \\\"Transcript and translate any audio to english\\\"\\n    documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n    def build_config(self):\\n        return {\\\"audio_path\\\":{\\\"display_name\\\":\\\"Audio path\\\",\\\"input_types\\\":[\\\"str\\\"]},\\\"openAI_key\\\":{\\\"display_name\\\":\\\"OpenAI key\\\",\\\"password\\\":True}}\\n\\n    def build(self,audio_path:str,openAI_key:str) -> str:\\n        client = OpenAI(api_key=openAI_key)\\n        audio_file= open(audio_path, \\\"rb\\\")\\n        transcript = client.audio.translations.create(\\n          model=\\\"whisper-1\\\", \\n          file=audio_file\\n        )\\n        self.status = transcript.text\\n        return transcript.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"audio_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"audio_path\",\"display_name\":\"Audio path\",\"advanced\":false,\"input_types\":[\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"aaaaa\"},\"openAI_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openAI_key\",\"display_name\":\"OpenAI key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Transcript and translate any audio to english\",\"base_classes\":[\"str\"],\"display_name\":\"OpenAI STT english tra\",\"custom_fields\":{\"audio_path\":null,\"openAI_key\":null},\"output_types\":[\"str\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-Qhbd7\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-224.36198532285903,\"y\":-39.03047722134913}}],\"edges\":[],\"viewport\":{\"x\":433.8372868055629,\"y\":250.9611989970935,\"zoom\":0.8467453123625275}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:16:56.971879\",\"folder\":null,\"id\":\"122eee5d-9734-4e51-9da5-b39bead64a8d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Wing\",\"description\":\"Your Toolkit for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:23.227017\",\"folder\":null,\"id\":\"171d0063-6446-4c6a-8f5b-786a38951d44\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mad Boyd\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.063781\",\"folder\":null,\"id\":\"3a7af50c-6555-4004-a86e-1ea37e477900\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Boring Dewey\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.065404\",\"folder\":null,\"id\":\"dc4b4235-a550-41e2-9ddb-bcb352a1bc03\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nauseous Carroll\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.087501\",\"folder\":null,\"id\":\"9550e2bf-db7a-41f5-84e5-177a181bbeda\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Silly Engelbart\",\"description\":\"Generate, Innovate, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.112543\",\"folder\":null,\"id\":\"6a3a24bb-01cb-4d8e-8d17-0dc92d257322\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sassy Khayyam\",\"description\":\"Innovation in Interaction, Revolution in Revenue.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.147631\",\"folder\":null,\"id\":\"8d372f5e-ca12-4ea8-a1a1-8846afa72692\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Bell\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.212921\",\"folder\":null,\"id\":\"800f8785-0f41-4db3-aef8-9e3de5250526\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sleepy Bassi\",\"description\":\"Unleashing Business Potential through Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.395729\",\"folder\":null,\"id\":\"4589607a-065b-4a8f-ba52-5045d7b04086\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Volhard\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.263971\",\"folder\":null,\"id\":\"b2440ed8-44fa-4684-adf7-b5e84bff6577\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Ecstatic Poincare\",\"description\":\"Your Passport to Linguistic Landscapes.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.377270\",\"folder\":null,\"id\":\"b996f514-e0b8-432f-969b-7276630a8f4b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grave Zuse\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.406385\",\"folder\":null,\"id\":\"6e2e9c12-0afc-499e-acdd-adf4b5f7d4fc\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Big Hopper\",\"description\":\"Conversation Catalyst Engine.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.413014\",\"folder\":null,\"id\":\"e020f1a5-aa12-45e7-ba50-6eb64a735e60\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Jang\",\"description\":\"Conversation Catalyst Engine.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.433045\",\"folder\":null,\"id\":\"ee58f892-b7b2-408e-b4b9-9d862fc315aa\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Ohm\",\"description\":\"Promptly Ingenious!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.403404\",\"folder\":null,\"id\":\"023a1fc3-8807-4167-b6b2-f4e5daf036f1\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Distracted Degrasse\",\"description\":\"Bridging Prompts for Brilliance.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.411655\",\"folder\":null,\"id\":\"085f106f-c1e9-4a0f-ba31-d2fafe685d9c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Exuberant Volta\",\"description\":\"Catalyzing Business Growth through Conversational AI.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.408697\",\"folder\":null,\"id\":\"14481bb5-1353-452f-9359-d38c9419d79c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Bose\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:21.774940\",\"folder\":null,\"id\":\"e9316292-4ee1-441b-8327-0b09a7831fe9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Thirsty Easley\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.416556\",\"folder\":null,\"id\":\"668806ba-3efa-44de-aeb7-4ac082ba9172\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Joyous Mestorf\",\"description\":\"Generate, Innovate, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.484048\",\"folder\":null,\"id\":\"3fc0a371-aada-4450-9d17-33d3cc05c870\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Playful Franklin\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.509095\",\"folder\":null,\"id\":\"af967c98-5f08-4ee2-b1ce-6c16b4f9ebe2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Bhaskara\",\"description\":\"Empowering Enterprises with Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.508465\",\"folder\":null,\"id\":\"758c4164-b521-45d0-a15f-d49480e312eb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Funky Edison\",\"description\":\"Unravel the Art of Articulation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.602296\",\"folder\":null,\"id\":\"f9d3d30f-8859-433f-bafc-ccf1a7196e35\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Silly Ride\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.604061\",\"folder\":null,\"id\":\"0142bca5-eb61-42ed-9917-70c4c0f54eb0\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Noyce\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.603113\",\"folder\":null,\"id\":\"0b63d036-4669-4ceb-8ea4-34035340df77\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cocky Bhabha\",\"description\":\"Language Engineering Excellence.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.345767\",\"folder\":null,\"id\":\"8b9a66d4-a924-4b84-a2b5-5dd0645ac07a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Thirsty Zobell\",\"description\":\"Unleashing Business Potential through Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.722319\",\"folder\":null,\"id\":\"c912fd6b-b32d-409f-a0e5-c6249b066429\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Fervent Shaw\",\"description\":\"Language Architect at Work!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.750779\",\"folder\":null,\"id\":\"9d755cd4-c652-43e0-a68d-75a5475ce7a3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Giggly Newton\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.786602\",\"folder\":null,\"id\":\"0d3af7de-1ada-4c43-a69f-1bfad370ccfc\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Modest Yalow\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.792245\",\"folder\":null,\"id\":\"b6444376-4162-436b-8b40-f5a6afc850db\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sad Bhabha\",\"description\":\"Empowering Enterprises with Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.890349\",\"folder\":null,\"id\":\"d90af439-fb34-4d27-98f2-06f7f9a9ed8c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Spirited Hoover\",\"description\":\"The Pinnacle of Prompt Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.905750\",\"folder\":null,\"id\":\"31597ce2-de3c-490b-9ead-3f702f63cfd9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Trusting Davinci\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:08.001400\",\"folder\":null,\"id\":\"b43c63e9-a257-4a53-8acc-049e13706ac2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"23\",\"description\":\"23\",\"data\":{\"nodes\":[{\"width\":384,\"height\":467,\"id\":\"PromptTemplate-K7xiS\",\"type\":\"genericNode\",\"position\":{\"x\":-658.2250903773149,\"y\":809.352046606987},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"dasdas\",\"dasdasd\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"{dasdas}\\n{dasdasd}\\n\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"dasdas\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"dasdas\",\"display_name\":\"dasdas\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"dasdasd\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"dasdasd\",\"display_name\":\"dasdasd\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"PromptTemplate\",\"BasePromptTemplate\",\"StringPromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"dasdas\",\"dasdasd\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-K7xiS\"},\"selected\":false,\"positionAbsolute\":{\"x\":-658.2250903773149,\"y\":809.352046606987},\"dragging\":false},{\"width\":384,\"height\":366,\"id\":\"AirbyteJSONLoader-DXfcM\",\"type\":\"genericNode\",\"position\":{\"x\":-1110.8267574563533,\"y\":569.1107380883907},\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"suffixes\":[\".json\"],\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\"json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-DXfcM\"},\"selected\":false,\"positionAbsolute\":{\"x\":-1110.8267574563533,\"y\":569.1107380883907},\"dragging\":false},{\"width\":384,\"height\":376,\"id\":\"PromptRunner-ckWMH\",\"type\":\"genericNode\",\"position\":{\"x\":-1149.4746387825978,\"y\":992.3970573758324},\"data\":{\"type\":\"PromptRunner\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.prompts import PromptTemplate\\nfrom langchain.schema import Document\\n\\n\\nclass PromptRunner(CustomComponent):\\n    display_name: str = \\\"Prompt Runner\\\"\\n    description: str = \\\"Run a Chain with the given PromptTemplate\\\"\\n    beta: bool = True\\n    field_config = {\\n        \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n        \\\"prompt\\\": {\\n            \\\"display_name\\\": \\\"Prompt Template\\\",\\n            \\\"info\\\": \\\"Make sure the prompt has all variables filled.\\\",\\n        },\\n        \\\"code\\\": {\\\"show\\\": False},\\n    }\\n\\n    def build(self, llm: BaseLLM, prompt: PromptTemplate, inputs: dict = {}) -> Document:\\n        chain = prompt | llm\\n        # The input is an empty dict because the prompt is already filled\\n        result = chain.invoke(input=inputs)\\n        if hasattr(result, \\\"content\\\"):\\n            result = result.content\\n        self.repr_value = result\\n        return Document(page_content=str(result))\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"inputs\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"inputs\",\"display_name\":\"inputs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLM\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt Template\",\"advanced\":false,\"dynamic\":false,\"info\":\"Make sure the prompt has all variables filled.\",\"type\":\"PromptTemplate\",\"list\":false}},\"description\":\"Run a Chain with the given PromptTemplate\",\"base_classes\":[\"Document\"],\"display_name\":\"Prompt Runner\",\"custom_fields\":{\"inputs\":null,\"llm\":null,\"prompt\":null},\"output_types\":[\"PromptRunner\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"PromptRunner-ckWMH\"},\"selected\":false,\"positionAbsolute\":{\"x\":-1149.4746387825978,\"y\":992.3970573758324},\"dragging\":false}],\"edges\":[{\"source\":\"PromptRunner-ckWMH\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œPromptRunnerœ,œidœ:œPromptRunner-ckWMHœ}\",\"target\":\"PromptTemplate-K7xiS\",\"targetHandle\":\"{œfieldNameœ:œdasdasdœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"dasdasd\",\"id\":\"PromptTemplate-K7xiS\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"PromptRunner\",\"id\":\"PromptRunner-ckWMH\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-PromptRunner-ckWMH{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œPromptRunnerœ,œidœ:œPromptRunner-ckWMHœ}-PromptTemplate-K7xiS{œfieldNameœ:œdasdasdœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\"},{\"source\":\"AirbyteJSONLoader-DXfcM\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œAirbyteJSONLoaderœ,œidœ:œAirbyteJSONLoader-DXfcMœ}\",\"target\":\"PromptTemplate-K7xiS\",\"targetHandle\":\"{œfieldNameœ:œdasdasœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"dasdas\",\"id\":\"PromptTemplate-K7xiS\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"AirbyteJSONLoader\",\"id\":\"AirbyteJSONLoader-DXfcM\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-AirbyteJSONLoader-DXfcM{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œAirbyteJSONLoaderœ,œidœ:œAirbyteJSONLoader-DXfcMœ}-PromptTemplate-K7xiS{œfieldNameœ:œdasdasœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\"}],\"viewport\":{\"x\":721.09842496776,\"y\":-303.59762799439625,\"zoom\":0.6417129487814537}},\"is_component\":false,\"updated_at\":\"2023-12-08T22:52:14.560323\",\"folder\":null,\"id\":\"8533c46e-21fd-4b92-b68e-1086ea86c72d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Stonebraker\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:26:42.332360\",\"folder\":null,\"id\":\"92bc0875-4a73-44f2-9410-3b8342e404bf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search (1)\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n    display_name: str = \\\"Metaphor Search\\\"\\n    description: str = \\\"Search in Metaphor with a custom string.\\\"\\n    beta = True\\n    \\n    def build_config(self):\\n        return {\\n        \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"},   \\n        \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n        \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\",  \\\"is_list\\\": True},\\n        \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n        \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n        \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n        \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n    }\\n\\n    def build(\\n        self,\\n        methaphor_client: Data,\\n        query: str,\\n        search_type: str='keyword',\\n        search_num_results: int = 5,\\n        include_domains: List[str]= [\\\"youtube.com\\\"],\\n        use_autoprompt: bool = False,\\n        start_date: str=\\\"2023-01-01\\\",\\n        \\n    ) -> Data:\\n        \\n        results = []\\n        for domain in include_domains:\\n            response = methaphor_client.search(\\n                    query,\\n                    num_results=int(search_num_results),\\n                    include_domains=[domain],\\n                    use_autoprompt=use_autoprompt,\\n                    type=search_type,\\n                    # start_crawl_date=start_date,\\n                    start_published_date=start_date\\n                )\\n            results.extend(response.results)\\n    \\n        self.repr_value = results\\n\\n        return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-dMB5d\"},\"id\":\"CustomComponent-dMB5d\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:43.668665\",\"folder\":null,\"id\":\"912265df-9b87-4b30-a585-1ca59b944391\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search (2)\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n    display_name: str = \\\"Metaphor Search\\\"\\n    description: str = \\\"Search in Metaphor with a custom string.\\\"\\n    beta = True\\n    \\n    def build_config(self):\\n        return {\\n        \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"},   \\n        \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n        \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\",  \\\"is_list\\\": True},\\n        \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n        \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n        \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n        \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n    }\\n\\n    def build(\\n        self,\\n        methaphor_client: Data,\\n        query: str,\\n        search_type: str='keyword',\\n        search_num_results: int = 5,\\n        include_domains: List[str]= [\\\"youtube.com\\\"],\\n        use_autoprompt: bool = False,\\n        start_date: str=\\\"2023-01-01\\\",\\n        \\n    ) -> Data:\\n        \\n        results = []\\n        for domain in include_domains:\\n            response = methaphor_client.search(\\n                    query,\\n                    num_results=int(search_num_results),\\n                    include_domains=[domain],\\n                    use_autoprompt=use_autoprompt,\\n                    type=search_type,\\n                    # start_crawl_date=start_date,\\n                    start_published_date=start_date\\n                )\\n            results.extend(response.results)\\n    \\n        self.repr_value = results\\n\\n        return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-ipifC\"},\"id\":\"CustomComponent-ipifC\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:49.799612\",\"folder\":null,\"id\":\"ca83ee08-2f93-427d-9897-80fef6dd5447\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n    display_name: str = \\\"Metaphor Search\\\"\\n    description: str = \\\"Search in Metaphor with a custom string.\\\"\\n    beta = True\\n    \\n    def build_config(self):\\n        return {\\n        \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"},   \\n        \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n        \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\",  \\\"is_list\\\": True},\\n        \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n        \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n        \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n        \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n    }\\n\\n    def build(\\n        self,\\n        methaphor_client: Data,\\n        query: str,\\n        search_type: str='keyword',\\n        search_num_results: int = 5,\\n        include_domains: List[str]= [\\\"youtube.com\\\"],\\n        use_autoprompt: bool = False,\\n        start_date: str=\\\"2023-01-01\\\",\\n        \\n    ) -> Data:\\n        \\n        results = []\\n        for domain in include_domains:\\n            response = methaphor_client.search(\\n                    query,\\n                    num_results=int(search_num_results),\\n                    include_domains=[domain],\\n                    use_autoprompt=use_autoprompt,\\n                    type=search_type,\\n                    # start_crawl_date=start_date,\\n                    start_published_date=start_date\\n                )\\n            results.extend(response.results)\\n    \\n        self.repr_value = results\\n\\n        return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-Y4qL7\"},\"id\":\"CustomComponent-Y4qL7\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:53.719960\",\"folder\":null,\"id\":\"5847602b-769a-4a82-82e8-a70f54a59929\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Williams\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:27:45.691254\",\"folder\":null,\"id\":\"0e3bdba9-127a-4399-81a4-2865b70a4a47\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Shared Component\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":328,\"id\":\"CSVAgent-TK9Ea\",\"type\":\"genericNode\",\"position\":{\"x\":251.25514772667083,\"y\":160.7424529887874},\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"beta\":false,\"error\":null},\"id\":\"CSVAgent-TK9Ea\"},\"positionAbsolute\":{\"x\":251.25514772667083,\"y\":160.7424529887874}}],\"edges\":[],\"viewport\":{\"x\":104.85568116317398,\"y\":88.26375874183478,\"zoom\":0.7169776240079145}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:28:34.119070\",\"folder\":null,\"id\":\"29c1a247-47b0-457b-8666-7c0a67dc72b0\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"teste cristhian\",\"description\":\"11111\",\"data\":{\"nodes\":[{\"width\":384,\"height\":328,\"id\":\"CSVAgent-P5wrB\",\"type\":\"genericNode\",\"position\":{\"x\":251.25514772667083,\"y\":160.7424529887874},\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"beta\":false,\"error\":null},\"id\":\"CSVAgent-P5wrB\"},\"positionAbsolute\":{\"x\":251.25514772667083,\"y\":160.7424529887874}},{\"width\":384,\"height\":626,\"id\":\"OpenAI-zpihD\",\"type\":\"genericNode\",\"position\":{\"x\":-56.983202536768374,\"y\":61.715652677908665},\"data\":{\"type\":\"OpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"batch_size\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":20,\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"best_of\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"best_of\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"frequency_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"frequency_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"logit_bias\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"logit_bias\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-babbage-001\",\"password\":false,\"options\":[\"text-davinci-003\",\"text-davinci-002\",\"text-curie-001\",\"text-babbage-001\",\"text-ada-001\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false,\"value\":\"dasdasdasdsadasdas\"},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"presence_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"presence_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"1.4\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"top_p\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"top_p\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"OpenAI\"},\"description\":\"OpenAI large language models.\",\"base_classes\":[\"OpenAI\",\"BaseLanguageModel\",\"BaseLLM\",\"BaseOpenAI\"],\"display_name\":\"OpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAI-zpihD\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-56.983202536768374,\"y\":61.715652677908665}}],\"edges\":[],\"viewport\":{\"x\":104.85568116317398,\"y\":88.26375874183478,\"zoom\":0.7169776240079145}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:40:48.453096\",\"folder\":null,\"id\":\"2e59d013-2acb-49a6-915b-9231a7e6eb58\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVAgent (1)\",\"description\":\"Construct a CSV agent from a CSV and tools.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVAgent-jsHqy\"},\"id\":\"CSVAgent-jsHqy\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:31:17.317322\",\"folder\":null,\"id\":\"ab1034a9-9b5b-4c65-bf6e-9f098a403942\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Suspicious Wilsonfasdfsd\",\"description\":\"Building Linguistic Labyrinths.fasdfads\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T14:43:45.298121\",\"folder\":null,\"id\":\"7d91c0c5-fba6-4c60-b4d1-11d430ef357a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (1)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-pAHh6\"},\"id\":\"AirbyteJSONLoader-pAHh6\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:47:58.573137\",\"folder\":null,\"id\":\"f0cc4292-97cc-4748-803d-949e30dcf661\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"ff2\":\"d3bbd\"},{\"w\":\"bvd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-0zU2Q\"},\"id\":\"AirbyteJSONLoader-0zU2Q\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:50:09.035318\",\"folder\":null,\"id\":\"5e3c0d55-1a00-4e15-9821-0c625c6415ff\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVAgent\",\"description\":\"Construct a CSV agent from a CSV and tools.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVAgent-Ub1Xe\"},\"id\":\"CSVAgent-Ub1Xe\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:50:16.985419\",\"folder\":null,\"id\":\"baee8061-4788-4ce6-928f-c6ce1ecb443c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Heisenberg\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":366,\"id\":\"CSVLoader-RMUx9\",\"type\":\"genericNode\",\"position\":{\"x\":111,\"y\":345.51250076293945},\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"z2b\":\"z9\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null},\"id\":\"CSVLoader-RMUx9\"},\"positionAbsolute\":{\"x\":111,\"y\":345.51250076293945}}],\"edges\":[],\"viewport\":{\"x\":0,\"y\":0,\"zoom\":1}},\"is_component\":false,\"updated_at\":\"2023-12-09T14:38:40.291137\",\"folder\":null,\"id\":\"109e9629-d569-4555-9d40-42203a5ed035\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CohereEmbeddings\",\"description\":\"Cohere embedding models.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CohereEmbeddings\",\"node\":{\"template\":{\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cohere_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"cohere_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"embed-english-v2.0\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"truncate\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"truncate\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"user_agent\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"langchain\",\"password\":false,\"name\":\"user_agent\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"CohereEmbeddings\"},\"description\":\"Cohere embedding models.\",\"base_classes\":[\"CohereEmbeddings\",\"Embeddings\"],\"display_name\":\"CohereEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/cohere\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CohereEmbeddings-HFUAf\"},\"id\":\"CohereEmbeddings-HFUAf\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:50:46.172344\",\"folder\":null,\"id\":\"662d8040-d47c-40db-bda1-66489a1c9d24\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (1)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-3wrib\"},\"id\":\"CSVLoader-3wrib\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:56:11.662526\",\"folder\":null,\"id\":\"4fae6aec-ddbd-498d-a4d1-ca0290f6a5ad\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (2)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-VEjyx\"},\"id\":\"CSVLoader-VEjyx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:57:37.560784\",\"folder\":null,\"id\":\"d80635ee-966c-41f2-981c-afa2c388ac6e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (3)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-PIhOc\"},\"id\":\"CSVLoader-PIhOc\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:00:27.991966\",\"folder\":null,\"id\":\"c5cc4c32-77c8-4889-a9f8-2632466b7366\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (4)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-deB43\"},\"id\":\"CSVLoader-deB43\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:00:42.509243\",\"folder\":null,\"id\":\"0ab59938-ccf4-4bb9-b285-1f5da38648f0\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-mdkLm\"},\"id\":\"CSVLoader-mdkLm\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:02:17.458354\",\"folder\":null,\"id\":\"f127b7e7-4149-492e-8998-6b1b35ec4153\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (5)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-FRc6Y\"},\"id\":\"CSVLoader-FRc6Y\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:02:26.958867\",\"folder\":null,\"id\":\"a870a096-725c-4914-add0-8d57d710b7e5\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (2)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-Z0uol\"},\"id\":\"AirbyteJSONLoader-Z0uol\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:03:33.764117\",\"folder\":null,\"id\":\"2a37c76c-65c8-4c01-a72d-eb46f3d41a56\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-28ASv\"},\"id\":\"AmazonBedrockEmbeddings-28ASv\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:03:41.066618\",\"folder\":null,\"id\":\"850ba4e6-96ca-49a7-9b0c-4b7048fd52c8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"ConversationBufferMemory\",\"description\":\"Buffer for storing conversation memory.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"ConversationBufferMemory\",\"node\":{\"template\":{\"chat_memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMessageHistory\",\"list\":false},\"ai_prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"AI\",\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"human_prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"Human\",\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"input_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\",\"type\":\"str\",\"list\":false},\"memory_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"output_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\",\"type\":\"str\",\"list\":false},\"return_messages\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ConversationBufferMemory\"},\"description\":\"Buffer for storing conversation memory.\",\"base_classes\":[\"BaseMemory\",\"BaseChatMemory\",\"ConversationBufferMemory\"],\"display_name\":\"ConversationBufferMemory\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/buffer\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"ConversationBufferMemory-WaoLx\"},\"id\":\"ConversationBufferMemory-WaoLx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:04:46.058568\",\"folder\":null,\"id\":\"be650940-0449-4eb0-a708-056310f924fd\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (1)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-Bs5PG\"},\"id\":\"AmazonBedrockEmbeddings-Bs5PG\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:05:50.570800\",\"folder\":null,\"id\":\"53ad1fe2-f3af-4354-86e0-eb141ce12859\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (2)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-zSZ4t\"},\"id\":\"AmazonBedrockEmbeddings-zSZ4t\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:06:11.415088\",\"folder\":null,\"id\":\"e9ed1c90-146e-452d-8ccd-ebf2e0da4331\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (3)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-Bxhlt\"},\"id\":\"AmazonBedrockEmbeddings-Bxhlt\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:07:06.411108\",\"folder\":null,\"id\":\"83783c57-64e3-41a6-aa7e-ed82f80f1e53\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (6)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"z2b\":\"z9\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-2pn2o\"},\"id\":\"CSVLoader-2pn2o\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:38:30.706258\",\"folder\":null,\"id\":\"c4ae9de6-9df3-4d3c-afc9-1752af4fecd7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Agent Initializer\",\"description\":\"Initialize a Langchain Agent.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AgentInitializer\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, List, Union\\n\\nfrom langchain.agents import AgentExecutor, AgentType, initialize_agent, types\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool\\n\\n\\nclass AgentInitializerComponent(CustomComponent):\\n    display_name: str = \\\"Agent Initializer\\\"\\n    description: str = \\\"Initialize a Langchain Agent.\\\"\\n    documentation: str = \\\"https://python.langchain.com/docs/modules/agents/agent_types/\\\"\\n\\n    def build_config(self):\\n        agents = list(types.AGENT_TO_CLASS.keys())\\n        # field_type and required are optional\\n        return {\\n            \\\"agent\\\": {\\\"options\\\": agents, \\\"value\\\": agents[0], \\\"display_name\\\": \\\"Agent Type\\\"},\\n            \\\"max_iterations\\\": {\\\"display_name\\\": \\\"Max Iterations\\\", \\\"value\\\": 10},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"Language Model\\\"},\\n        }\\n\\n    def build(\\n        self, agent: str, llm: BaseLanguageModel, memory: BaseChatMemory, tools: List[Tool], max_iterations: int\\n    ) -> Union[AgentExecutor, Callable]:\\n        agent = AgentType(agent)\\n        return initialize_agent(\\n            tools=tools,\\n            llm=llm,\\n            agent=agent,\\n            memory=memory,\\n            return_intermediate_steps=True,\\n            handle_parsing_errors=True,\\n            max_iterations=max_iterations,\\n        )\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"agent\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"zero-shot-react-description\",\"password\":false,\"options\":[\"zero-shot-react-description\",\"react-docstore\",\"self-ask-with-search\",\"conversational-react-description\",\"chat-zero-shot-react-description\",\"chat-conversational-react-description\",\"structured-chat-zero-shot-react-description\",\"openai-functions\",\"openai-multi-functions\",\"JsonAgent\",\"CSVAgent\",\"AgentInitializer\",\"VectorStoreAgent\",\"VectorStoreRouterAgent\",\"SQLAgent\"],\"name\":\"agent\",\"display_name\":\"Agent Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"Language Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"max_iterations\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":10,\"password\":false,\"name\":\"max_iterations\",\"display_name\":\"Max Iterations\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"memory\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMemory\",\"list\":false},\"tools\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Tool\",\"list\":true}},\"description\":\"Initialize a Langchain Agent.\",\"base_classes\":[\"Chain\",\"AgentExecutor\",\"Callable\"],\"display_name\":\"Agent Initializer\",\"custom_fields\":{\"agent\":null,\"llm\":null,\"max_iterations\":null,\"memory\":null,\"tools\":null},\"output_types\":[\"AgentInitializer\"],\"documentation\":\"https://python.langchain.com/docs/modules/agents/agent_types/\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AgentInitializer-MJrAC\"},\"id\":\"AgentInitializer-MJrAC\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:42:54.715163\",\"folder\":null,\"id\":\"ff84b5f9-5680-4084-a9f1-7d94fe675486\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Agent Initializer (1)\",\"description\":\"Initialize a Langchain Agent.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AgentInitializer\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, List, Union\\n\\nfrom langchain.agents import AgentExecutor, AgentType, initialize_agent, types\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool\\n\\n\\nclass AgentInitializerComponent(CustomComponent):\\n    display_name: str = \\\"Agent Initializer\\\"\\n    description: str = \\\"Initialize a Langchain Agent.\\\"\\n    documentation: str = \\\"https://python.langchain.com/docs/modules/agents/agent_types/\\\"\\n\\n    def build_config(self):\\n        agents = list(types.AGENT_TO_CLASS.keys())\\n        # field_type and required are optional\\n        return {\\n            \\\"agent\\\": {\\\"options\\\": agents, \\\"value\\\": agents[0], \\\"display_name\\\": \\\"Agent Type\\\"},\\n            \\\"max_iterations\\\": {\\\"display_name\\\": \\\"Max Iterations\\\", \\\"value\\\": 10},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"Language Model\\\"},\\n        }\\n\\n    def build(\\n        self, agent: str, llm: BaseLanguageModel, memory: BaseChatMemory, tools: List[Tool], max_iterations: int\\n    ) -> Union[AgentExecutor, Callable]:\\n        agent = AgentType(agent)\\n        return initialize_agent(\\n            tools=tools,\\n            llm=llm,\\n            agent=agent,\\n            memory=memory,\\n            return_intermediate_steps=True,\\n            handle_parsing_errors=True,\\n            max_iterations=max_iterations,\\n        )\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"agent\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"zero-shot-react-description\",\"password\":false,\"options\":[\"zero-shot-react-description\",\"react-docstore\",\"self-ask-with-search\",\"conversational-react-description\",\"chat-zero-shot-react-description\",\"chat-conversational-react-description\",\"structured-chat-zero-shot-react-description\",\"openai-functions\",\"openai-multi-functions\",\"JsonAgent\",\"CSVAgent\",\"AgentInitializer\",\"VectorStoreAgent\",\"VectorStoreRouterAgent\",\"SQLAgent\"],\"name\":\"agent\",\"display_name\":\"Agent Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"Language Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"max_iterations\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":10,\"password\":false,\"name\":\"max_iterations\",\"display_name\":\"Max Iterations\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"memory\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMemory\",\"list\":false},\"tools\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Tool\",\"list\":true}},\"description\":\"Initialize a Langchain Agent.\",\"base_classes\":[\"Chain\",\"AgentExecutor\",\"Callable\"],\"display_name\":\"Agent Initializer\",\"custom_fields\":{\"agent\":null,\"llm\":null,\"max_iterations\":null,\"memory\":null,\"tools\":null},\"output_types\":[\"AgentInitializer\"],\"documentation\":\"https://python.langchain.com/docs/modules/agents/agent_types/\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AgentInitializer-3lcZ4\"},\"id\":\"AgentInitializer-3lcZ4\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:43:20.819934\",\"folder\":null,\"id\":\"97f5db9f-d6cc-4555-88fb-3be102c67814\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Exuberant Banach\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T14:52:49.951416\",\"folder\":null,\"id\":\"a600acd1-213a-4ce7-8648-ab2ee59f5918\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (3)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-JhQtx\"},\"id\":\"AirbyteJSONLoader-JhQtx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:44:49.587337\",\"folder\":null,\"id\":\"07c52ad7-ca52-4cdd-ab40-74a91dbad0dd\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (4)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-bIvDc\"},\"id\":\"AirbyteJSONLoader-bIvDc\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:45:13.458500\",\"folder\":null,\"id\":\"53e4d256-3653-444b-b8e0-fb97b3ae5c7e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (5)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-2BLS8\"},\"id\":\"AirbyteJSONLoader-2BLS8\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:45:44.461699\",\"folder\":null,\"id\":\"b5158cc1-c6b8-4e25-907a-bc7e7637aa38\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (4)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-NsBzN\"},\"id\":\"AmazonBedrockEmbeddings-NsBzN\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:50:29.791575\",\"folder\":null,\"id\":\"3fb77f72-1be7-4ce0-ae89-a82b0eee9acf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Golick\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.707854\",\"folder\":null,\"id\":\"9c5d21c2-ea82-4cf4-a591-c3d3fd3f13e6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Davinci (1)\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.761150\",\"folder\":null,\"id\":\"f8e2e16e-129c-4116-9626-2c6b524d97b7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Degrasse\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.764440\",\"folder\":null,\"id\":\"d7f4f7b5-effe-4834-8cab-4f2fc4f6e9de\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Prickly Archimedes\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.767546\",\"folder\":null,\"id\":\"2265d813-4a87-410f-b06a-65e35db8219e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Boring Heyrovsky\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.765105\",\"folder\":null,\"id\":\"10bfd881-e67e-4c33-965d-ee041695edce\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nostalgic Carroll\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.811794\",\"folder\":null,\"id\":\"63fa5653-4513-47f2-8dfa-baeb1d981f93\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Perlman\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.814993\",\"folder\":null,\"id\":\"f4bc5945-20d9-4703-a5bb-6a4a3ef7fc8e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hilarious Stallman\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.813144\",\"folder\":null,\"id\":\"8d8b80f9-4b74-4cd5-bc5c-08a32c4d2b95\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Awesome Einstein\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:19.518262\",\"folder\":null,\"id\":\"21808fd7-a492-4e29-8863-301c2785f542\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Funky Swanson\",\"description\":\"Sculpting Language with Precision.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.185637\",\"folder\":null,\"id\":\"7752299a-4aa9-44db-8d9c-5c4a2ac1b071\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Romantic Pascal\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.223064\",\"folder\":null,\"id\":\"78f48a13-6a9f-42ce-9d58-ec9b63b381d2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Bartik\",\"description\":\"Sculpting Language with Precision.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.239758\",\"folder\":null,\"id\":\"38074091-3d7c-4d42-b61b-ae195c1b8a4e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Condescending Joliot\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.271996\",\"folder\":null,\"id\":\"773020aa-5c2d-4632-ad9e-21276861ab93\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Kalam\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.283929\",\"folder\":null,\"id\":\"0092d077-6d31-401f-a739-b164476b90ed\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grinning Bhabha\",\"description\":\"Your Passport to Linguistic Landscapes.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.467739\",\"folder\":null,\"id\":\"4a395211-712d-4dd2-b3bb-e6b19200f15d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Babbage\",\"description\":\"Design Dialogues with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.742990\",\"folder\":null,\"id\":\"3f086a82-3e29-4328-9da8-e02dc9201744\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tiny Volta\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:24:18.594247\",\"folder\":null,\"id\":\"659b8289-c8e8-413d-9b2b-51e68411f170\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Radiant Jennings\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:24:42.640309\",\"folder\":null,\"id\":\"f55f0640-d47e-4471-b1ba-3411d38ecac5\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Distracted Shaw\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:24:58.376247\",\"folder\":null,\"id\":\"a039811e-449a-4244-83ed-4ddd731a0921\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Peppy Murdock (1)\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:25:14.674524\",\"folder\":null,\"id\":\"0faf6144-6ca6-4f64-a343-665ae54774ef\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Volta\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:26:50.418029\",\"folder\":null,\"id\":\"c5d149d0-c401-4f5e-b79f-2abcc7b8d98d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Bubbly Curie\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:27:10.900899\",\"folder\":null,\"id\":\"7bb2d226-9740-433d-861f-a499632c5a13\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Radiant Nobel\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:29:11.541630\",\"folder\":null,\"id\":\"947906d8-75ea-470c-a8e2-cc80c5d3bdbb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cheerful Northcutt\",\"description\":\"Unleashing Business Potential through Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:29:37.169791\",\"folder\":null,\"id\":\"56f109fd-2c18-42ed-a9b2-089a678a0c11\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Suspicious Khayyam\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:30:24.686359\",\"folder\":null,\"id\":\"551d7bfa-49aa-43f1-a779-e47eabc2aaf2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Spence\",\"description\":\"Create, Curate, Communicate with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:30:47.738472\",\"folder\":null,\"id\":\"12aef128-130e-492e-bf84-62d4cb4cd456\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Lavoisier\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:31:43.272365\",\"folder\":null,\"id\":\"9952c044-6903-4fba-a270-6ed0b90c93c9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Upbeat Bose\",\"description\":\"Unravel the Art of Articulation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:32:23.972035\",\"folder\":null,\"id\":\"65f49582-c9fa-4c67-a2bc-4e8fa73ca731\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tender Perlman\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:33:26.984083\",\"folder\":null,\"id\":\"9ae57fe2-c677-47fa-a059-7d3d915a1178\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sharp Cori\",\"description\":\"Conversation Catalyst Engine.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:33:52.377359\",\"folder\":null,\"id\":\"2920dde2-5c24-4fe0-9c06-ef86b5a16a99\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"}]"
-          },
-          "headersSize": -1,
-          "bodySize": -1,
-          "redirectURL": ""
-        },
-        "cache": {},
-        "timings": { "send": -1, "wait": -1, "receive": 1.309 }
-      },
-      {
-        "startedDateTime": "2023-12-11T18:55:08.950Z",
-        "time": 0.595,
-        "request": {
-          "method": "GET",
-          "url": "http://localhost:3000/api/v1/build/2920dde2-5c24-4fe0-9c06-ef86b5a16a99/status",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Accept", "value": "application/json, text/plain, */*" },
-            { "name": "Accept-Encoding", "value": "gzip, deflate, br" },
-            { "name": "Accept-Language", "value": "en-US,en;q=0.9" },
-            { "name": "Authorization", "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20" },
-            { "name": "Connection", "value": "keep-alive" },
-            { "name": "Cookie", "value": "access_token_lf=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20; refresh_tkn_lflw=auto" },
-            { "name": "Host", "value": "localhost:3000" },
-            { "name": "Referer", "value": "http://localhost:3000/flow/2920dde2-5c24-4fe0-9c06-ef86b5a16a99" },
-            { "name": "Sec-Fetch-Dest", "value": "empty" },
-            { "name": "Sec-Fetch-Mode", "value": "cors" },
-            { "name": "Sec-Fetch-Site", "value": "same-origin" },
-            { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" },
-            { "name": "sec-ch-ua", "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" },
-            { "name": "sec-ch-ua-mobile", "value": "?0" },
-            { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
-          ],
-          "queryString": [],
-          "headersSize": -1,
-          "bodySize": -1
-        },
-        "response": {
-          "status": 200,
-          "statusText": "OK",
-          "httpVersion": "HTTP/1.1",
-          "cookies": [],
-          "headers": [
-            { "name": "Access-Control-Allow-Origin", "value": "*" },
-            { "name": "connection", "value": "close" },
-            { "name": "content-length", "value": "15" },
-            { "name": "content-type", "value": "application/json" },
-            { "name": "date", "value": "Mon, 11 Dec 2023 18:55:08 GMT" },
-            { "name": "server", "value": "uvicorn" }
-          ],
-          "content": {
-            "size": -1,
-            "mimeType": "application/json",
-            "text": "{\"built\":false}"
-          },
-          "headersSize": -1,
-          "bodySize": -1,
-          "redirectURL": ""
-        },
-        "cache": {},
-        "timings": { "send": -1, "wait": -1, "receive": 0.595 }
-      }
-    ]
-  }
-}
\ No newline at end of file
diff --git a/src/frontend/harFiles/example.har b/src/frontend/harFiles/example.har
new file mode 100644
index 00000000000..a4c59bf31dd
--- /dev/null
+++ b/src/frontend/harFiles/example.har
@@ -0,0 +1,710 @@
+{
+  "log": {
+    "version": "1.2",
+    "creator": {
+      "name": "Playwright",
+      "version": "1.39.0"
+    },
+    "browser": {
+      "name": "chromium",
+      "version": "119.0.6045.9"
+    },
+    "entries": [
+      {
+        "startedDateTime": "2023-12-11T18:54:58.349Z",
+        "time": 1.142,
+        "request": {
+          "method": "GET",
+          "url": "http://localhost:3000/api/v1/store/check/",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            { "name": "Accept", "value": "application/json, text/plain, */*" },
+            { "name": "Accept-Encoding", "value": "gzip, deflate, br" },
+            { "name": "Accept-Language", "value": "en-US,en;q=0.9" },
+            { "name": "Connection", "value": "keep-alive" },
+            { "name": "Host", "value": "localhost:3000" },
+            { "name": "Referer", "value": "http://localhost:3000/" },
+            { "name": "Sec-Fetch-Dest", "value": "empty" },
+            { "name": "Sec-Fetch-Mode", "value": "cors" },
+            { "name": "Sec-Fetch-Site", "value": "same-origin" },
+            {
+              "name": "User-Agent",
+              "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36"
+            },
+            {
+              "name": "sec-ch-ua",
+              "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\""
+            },
+            { "name": "sec-ch-ua-mobile", "value": "?0" },
+            { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
+          ],
+          "queryString": [],
+          "headersSize": -1,
+          "bodySize": -1
+        },
+        "response": {
+          "status": 200,
+          "statusText": "OK",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            { "name": "Access-Control-Allow-Origin", "value": "*" },
+            { "name": "connection", "value": "close" },
+            { "name": "content-length", "value": "16" },
+            { "name": "content-type", "value": "application/json" },
+            { "name": "date", "value": "Mon, 11 Dec 2023 18:54:57 GMT" },
+            { "name": "server", "value": "uvicorn" }
+          ],
+          "content": {
+            "size": -1,
+            "mimeType": "application/json",
+            "text": "{\"enabled\":true}"
+          },
+          "headersSize": -1,
+          "bodySize": -1,
+          "redirectURL": ""
+        },
+        "cache": {},
+        "timings": { "send": -1, "wait": -1, "receive": 1.142 }
+      },
+      {
+        "startedDateTime": "2023-12-11T18:54:58.349Z",
+        "time": 0.484,
+        "request": {
+          "method": "GET",
+          "url": "http://localhost:3000/api/v1/store/check/api_key",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            { "name": "Accept", "value": "application/json, text/plain, */*" },
+            { "name": "Accept-Encoding", "value": "gzip, deflate, br" },
+            { "name": "Accept-Language", "value": "en-US,en;q=0.9" },
+            { "name": "Connection", "value": "keep-alive" },
+            { "name": "Host", "value": "localhost:3000" },
+            { "name": "Referer", "value": "http://localhost:3000/" },
+            { "name": "Sec-Fetch-Dest", "value": "empty" },
+            { "name": "Sec-Fetch-Mode", "value": "cors" },
+            { "name": "Sec-Fetch-Site", "value": "same-origin" },
+            {
+              "name": "User-Agent",
+              "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36"
+            },
+            {
+              "name": "sec-ch-ua",
+              "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\""
+            },
+            { "name": "sec-ch-ua-mobile", "value": "?0" },
+            { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
+          ],
+          "queryString": [],
+          "headersSize": -1,
+          "bodySize": -1
+        },
+        "response": {
+          "status": 403,
+          "statusText": "Forbidden",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            { "name": "Access-Control-Allow-Origin", "value": "*" },
+            { "name": "connection", "value": "close" },
+            { "name": "content-length", "value": "73" },
+            { "name": "content-type", "value": "application/json" },
+            { "name": "date", "value": "Mon, 11 Dec 2023 18:54:57 GMT" },
+            { "name": "server", "value": "uvicorn" }
+          ],
+          "content": {
+            "size": -1,
+            "mimeType": "application/json",
+            "text": "{\"detail\":\"An API key as query or header, or a JWT token must be passed\"}"
+          },
+          "headersSize": -1,
+          "bodySize": -1,
+          "redirectURL": ""
+        },
+        "cache": {},
+        "timings": { "send": -1, "wait": -1, "receive": 0.484 }
+      },
+      {
+        "startedDateTime": "2023-12-11T18:54:58.349Z",
+        "time": 0.476,
+        "request": {
+          "method": "GET",
+          "url": "http://localhost:3000/api/v1/version",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            { "name": "Accept", "value": "application/json, text/plain, */*" },
+            { "name": "Accept-Encoding", "value": "gzip, deflate, br" },
+            { "name": "Accept-Language", "value": "en-US,en;q=0.9" },
+            { "name": "Connection", "value": "keep-alive" },
+            { "name": "Host", "value": "localhost:3000" },
+            { "name": "Referer", "value": "http://localhost:3000/" },
+            { "name": "Sec-Fetch-Dest", "value": "empty" },
+            { "name": "Sec-Fetch-Mode", "value": "cors" },
+            { "name": "Sec-Fetch-Site", "value": "same-origin" },
+            {
+              "name": "User-Agent",
+              "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36"
+            },
+            {
+              "name": "sec-ch-ua",
+              "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\""
+            },
+            { "name": "sec-ch-ua-mobile", "value": "?0" },
+            { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
+          ],
+          "queryString": [],
+          "headersSize": -1,
+          "bodySize": -1
+        },
+        "response": {
+          "status": 200,
+          "statusText": "OK",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            { "name": "Access-Control-Allow-Origin", "value": "*" },
+            { "name": "connection", "value": "close" },
+            { "name": "content-length", "value": "22" },
+            { "name": "content-type", "value": "application/json" },
+            { "name": "date", "value": "Mon, 11 Dec 2023 18:54:57 GMT" },
+            { "name": "server", "value": "uvicorn" }
+          ],
+          "content": {
+            "size": -1,
+            "mimeType": "application/json",
+            "text": "{\"version\":\"0.6.0rc1\"}"
+          },
+          "headersSize": -1,
+          "bodySize": -1,
+          "redirectURL": ""
+        },
+        "cache": {},
+        "timings": { "send": -1, "wait": -1, "receive": 0.476 }
+      },
+      {
+        "startedDateTime": "2023-12-11T18:54:58.349Z",
+        "time": 0.59,
+        "request": {
+          "method": "GET",
+          "url": "http://localhost:3000/api/v1/auto_login",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            { "name": "Accept", "value": "application/json, text/plain, */*" },
+            { "name": "Accept-Encoding", "value": "gzip, deflate, br" },
+            { "name": "Accept-Language", "value": "en-US,en;q=0.9" },
+            { "name": "Connection", "value": "keep-alive" },
+            { "name": "Host", "value": "localhost:3000" },
+            { "name": "Referer", "value": "http://localhost:3000/" },
+            { "name": "Sec-Fetch-Dest", "value": "empty" },
+            { "name": "Sec-Fetch-Mode", "value": "cors" },
+            { "name": "Sec-Fetch-Site", "value": "same-origin" },
+            {
+              "name": "User-Agent",
+              "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36"
+            },
+            {
+              "name": "sec-ch-ua",
+              "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\""
+            },
+            { "name": "sec-ch-ua-mobile", "value": "?0" },
+            { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
+          ],
+          "queryString": [],
+          "headersSize": -1,
+          "bodySize": -1
+        },
+        "response": {
+          "status": 200,
+          "statusText": "OK",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            { "name": "Access-Control-Allow-Origin", "value": "*" },
+            { "name": "connection", "value": "close" },
+            { "name": "content-length", "value": "227" },
+            { "name": "content-type", "value": "application/json" },
+            { "name": "date", "value": "Mon, 11 Dec 2023 18:54:57 GMT" },
+            { "name": "server", "value": "uvicorn" }
+          ],
+          "content": {
+            "size": -1,
+            "mimeType": "application/json",
+            "text": "{\"access_token\":\"eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20\",\"refresh_token\":null,\"token_type\":\"bearer\"}"
+          },
+          "headersSize": -1,
+          "bodySize": -1,
+          "redirectURL": ""
+        },
+        "cache": {},
+        "timings": { "send": -1, "wait": -1, "receive": 0.59 }
+      },
+      {
+        "startedDateTime": "2023-12-11T18:54:58.380Z",
+        "time": 0.762,
+        "request": {
+          "method": "GET",
+          "url": "http://localhost:3000/api/v1/store/check/api_key",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            { "name": "Accept", "value": "application/json, text/plain, */*" },
+            { "name": "Accept-Encoding", "value": "gzip, deflate, br" },
+            { "name": "Accept-Language", "value": "en-US,en;q=0.9" },
+            { "name": "Connection", "value": "keep-alive" },
+            { "name": "Host", "value": "localhost:3000" },
+            { "name": "Referer", "value": "http://localhost:3000/" },
+            { "name": "Sec-Fetch-Dest", "value": "empty" },
+            { "name": "Sec-Fetch-Mode", "value": "cors" },
+            { "name": "Sec-Fetch-Site", "value": "same-origin" },
+            {
+              "name": "User-Agent",
+              "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36"
+            },
+            {
+              "name": "sec-ch-ua",
+              "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\""
+            },
+            { "name": "sec-ch-ua-mobile", "value": "?0" },
+            { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
+          ],
+          "queryString": [],
+          "headersSize": -1,
+          "bodySize": -1
+        },
+        "response": {
+          "status": 403,
+          "statusText": "Forbidden",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            { "name": "Access-Control-Allow-Origin", "value": "*" },
+            { "name": "connection", "value": "close" },
+            { "name": "content-length", "value": "73" },
+            { "name": "content-type", "value": "application/json" },
+            { "name": "date", "value": "Mon, 11 Dec 2023 18:54:58 GMT" },
+            { "name": "server", "value": "uvicorn" }
+          ],
+          "content": {
+            "size": -1,
+            "mimeType": "application/json",
+            "text": "{\"detail\":\"An API key as query or header, or a JWT token must be passed\"}"
+          },
+          "headersSize": -1,
+          "bodySize": -1,
+          "redirectURL": ""
+        },
+        "cache": {},
+        "timings": { "send": -1, "wait": -1, "receive": 0.762 }
+      },
+      {
+        "startedDateTime": "2023-12-11T18:54:58.423Z",
+        "time": 1.03,
+        "request": {
+          "method": "GET",
+          "url": "http://localhost:3000/api/v1/flows/",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            { "name": "Accept", "value": "application/json, text/plain, */*" },
+            { "name": "Accept-Encoding", "value": "gzip, deflate, br" },
+            { "name": "Accept-Language", "value": "en-US,en;q=0.9" },
+            {
+              "name": "Authorization",
+              "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20"
+            },
+            { "name": "Connection", "value": "keep-alive" },
+            {
+              "name": "Cookie",
+              "value": "access_tkn_lflw=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20; refresh_tkn_lflw=auto"
+            },
+            { "name": "Host", "value": "localhost:3000" },
+            { "name": "Referer", "value": "http://localhost:3000/flows" },
+            { "name": "Sec-Fetch-Dest", "value": "empty" },
+            { "name": "Sec-Fetch-Mode", "value": "cors" },
+            { "name": "Sec-Fetch-Site", "value": "same-origin" },
+            {
+              "name": "User-Agent",
+              "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36"
+            },
+            {
+              "name": "sec-ch-ua",
+              "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\""
+            },
+            { "name": "sec-ch-ua-mobile", "value": "?0" },
+            { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
+          ],
+          "queryString": [],
+          "headersSize": -1,
+          "bodySize": -1
+        },
+        "response": {
+          "status": 200,
+          "statusText": "OK",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            { "name": "Access-Control-Allow-Origin", "value": "*" },
+            { "name": "connection", "value": "close" },
+            { "name": "content-length", "value": "375696" },
+            { "name": "content-type", "value": "application/json" },
+            { "name": "date", "value": "Mon, 11 Dec 2023 18:54:58 GMT" },
+            { "name": "server", "value": "uvicorn" }
+          ],
+          "content": {
+            "size": -1,
+            "mimeType": "application/json",
+            "text": "[{\"name\":\"Awesome Euclid\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":374,\"id\":\"PromptTemplate-m2yFu\",\"type\":\"genericNode\",\"position\":{\"x\":462.6456058272081,\"y\":1033.9314297130313},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"transcription\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"create an image prompt based on the song's lyrics to be used as the album cover of this song:\\n\\nlyrics:\\n{transcription}\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"transcription\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"transcription\",\"display_name\":\"transcription\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"PromptTemplate\",\"StringPromptTemplate\",\"BasePromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"transcription\"],\"template\":[\"transcription\",\"question\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-m2yFu\"},\"selected\":false,\"positionAbsolute\":{\"x\":462.6456058272081,\"y\":1033.9314297130313},\"dragging\":false},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-urapv\",\"type\":\"genericNode\",\"position\":{\"x\":189.94856095084924,\"y\":-85.06556385338186},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-urapv\"},\"selected\":false,\"positionAbsolute\":{\"x\":189.94856095084924,\"y\":-85.06556385338186},\"dragging\":false},{\"width\":384,\"height\":806,\"id\":\"CustomComponent-IEIUl\",\"type\":\"genericNode\",\"position\":{\"x\":2364.865919667005,\"y\":88.43094097025096},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nfrom platformdirs import user_cache_dir\\nimport base64\\nfrom PIL import Image\\nfrom io import BytesIO\\nfrom openai import OpenAI\\nfrom pathlib import Path\\n\\nclass Component(CustomComponent):\\n    display_name: str = \\\"Image generator\\\"\\n    description: str = \\\"generate images using Dall-E\\\"\\n    documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n    def build_config(self):\\n        return {\\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\",\\\"input_types\\\":[\\\"str\\\"]},\\n        \\\"api_key\\\":{\\\"display_name\\\":\\\"OpenAI API key\\\",\\\"password\\\":True},\\n        \\\"model\\\":{\\\"display_name\\\":\\\"Model name\\\",\\\"advanced\\\":True,\\\"options\\\":[\\\"dall-e-2\\\",\\\"dall-e-3\\\"], \\\"value\\\":\\\"dall-e-3\\\"},\\n        \\\"file_name\\\":{\\\"display_name\\\":\\\"File Name\\\"},\\n        \\\"output_format\\\":{\\\"display_name\\\":\\\"Output format\\\",\\\"options\\\":[\\\"jpeg\\\",\\\"png\\\"],\\\"value\\\":\\\"jpeg\\\"},\\n        \\\"width\\\":{\\\"display_name\\\":\\\"Width\\\" ,\\\"value\\\":1024},\\n        \\\"height\\\":{\\\"display_name\\\":\\\"Height\\\", \\\"value\\\":1024}\\n        }\\n\\n    def build(self, prompt:str,api_key:str,model:str,file_name:str,output_format:str,width:int,height:int):\\n        client = OpenAI(api_key=api_key)\\n        cache_dir = Path(user_cache_dir(\\\"langflow\\\"))\\n        images_dir = cache_dir / \\\"images\\\"\\n        images_dir.mkdir(parents=True, exist_ok=True)\\n        image_path = images_dir / f\\\"{file_name}.{output_format}\\\"\\n        response = client.images.generate(\\n          model=model,\\n          prompt=prompt,\\n          size=f\\\"{height}x{width}\\\",\\n          response_format=\\\"b64_json\\\",\\n          n=1,\\n        )\\n        # Decode base64-encoded image string\\n        binary_data = base64.b64decode(response.data[0].b64_json)\\n        # Create PIL Image object from binary image data\\n        image_pil = Image.open(BytesIO(binary_data))\\n        image_pil.save(image_path, format=output_format.upper())\\n        return \\\"\\\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"api_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"api_key\",\"display_name\":\"OpenAI API key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"file_name\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"file_name\",\"display_name\":\"File Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"album\"},\"height\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1024,\"password\":false,\"name\":\"height\",\"display_name\":\"Height\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"dall-e-3\",\"password\":false,\"options\":[\"dall-e-2\",\"dall-e-3\"],\"name\":\"model\",\"display_name\":\"Model name\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"output_format\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"jpeg\",\"password\":false,\"options\":[\"jpeg\",\"png\"],\"name\":\"output_format\",\"display_name\":\"Output format\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"input_types\":[\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"width\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1024,\"password\":false,\"name\":\"width\",\"display_name\":\"Width\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false}},\"description\":\"generate images using Dall-E\",\"base_classes\":[\"Data\"],\"display_name\":\"Image generator\",\"custom_fields\":{\"api_key\":null,\"file_name\":null,\"height\":null,\"model\":null,\"output_format\":null,\"prompt\":null,\"width\":null},\"output_types\":[\"Data\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-IEIUl\"},\"selected\":false,\"positionAbsolute\":{\"x\":2364.865919667005,\"y\":88.43094097025096}},{\"width\":384,\"height\":338,\"id\":\"LLMChain-KlJb3\",\"type\":\"genericNode\",\"position\":{\"x\":1242.9851164540805,\"y\":-139.74634696823108},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-KlJb3\"},\"selected\":false,\"positionAbsolute\":{\"x\":1242.9851164540805,\"y\":-139.74634696823108},\"dragging\":false},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-bCuc0\",\"type\":\"genericNode\",\"position\":{\"x\":1747.8107777342625,\"y\":319.13729017446667},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\n\\nclass Component(CustomComponent):\\n    display_name: str = \\\"Custom Component\\\"\\n    description: str = \\\"Create any custom component you want!\\\"\\n    documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n    def build_config(self):\\n        return {\\\"param\\\": {\\\"display_name\\\": \\\"Parameter\\\"}}\\n\\n    def build(self, param: Chain) -> str:\\n        result = param.run({})\\n        self.status = result\\n        return result\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"param\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"param\",\"display_name\":\"Parameter\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Chain\",\"list\":false}},\"description\":\"Create any custom component you want!\",\"base_classes\":[\"str\"],\"display_name\":\"Custom Component\",\"custom_fields\":{\"param\":null},\"output_types\":[\"str\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-bCuc0\"},\"selected\":false,\"positionAbsolute\":{\"x\":1747.8107777342625,\"y\":319.13729017446667}}],\"edges\":[{\"source\":\"LLMChain-KlJb3\",\"target\":\"CustomComponent-bCuc0\",\"sourceHandle\":\"{œbaseClassesœ:[œChainœ,œCallableœ],œdataTypeœ:œLLMChainœ,œidœ:œLLMChain-KlJb3œ}\",\"targetHandle\":\"{œfieldNameœ:œparamœ,œidœ:œCustomComponent-bCuc0œ,œinputTypesœ:null,œtypeœ:œChainœ}\",\"id\":\"reactflow__edge-LLMChain-KlJb3{œbaseClassesœ:[œChainœ,œCallableœ],œdataTypeœ:œLLMChainœ,œidœ:œLLMChain-KlJb3œ}-CustomComponent-bCuc0{œfieldNameœ:œparamœ,œidœ:œCustomComponent-bCuc0œ,œinputTypesœ:null,œtypeœ:œChainœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"param\",\"id\":\"CustomComponent-bCuc0\",\"inputTypes\":null,\"type\":\"Chain\"},\"sourceHandle\":{\"baseClasses\":[\"Chain\",\"Callable\"],\"dataType\":\"LLMChain\",\"id\":\"LLMChain-KlJb3\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"ChatOpenAI-urapv\",\"target\":\"LLMChain-KlJb3\",\"sourceHandle\":\"{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-urapvœ}\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"id\":\"reactflow__edge-ChatOpenAI-urapv{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-urapvœ}-LLMChain-KlJb3{œfieldNameœ:œllmœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-KlJb3\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-urapv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"PromptTemplate-m2yFu\",\"target\":\"LLMChain-KlJb3\",\"sourceHandle\":\"{œbaseClassesœ:[œPromptTemplateœ,œStringPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-m2yFuœ}\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"id\":\"reactflow__edge-PromptTemplate-m2yFu{œbaseClassesœ:[œPromptTemplateœ,œStringPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-m2yFuœ}-LLMChain-KlJb3{œfieldNameœ:œpromptœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-KlJb3\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"PromptTemplate\",\"StringPromptTemplate\",\"BasePromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-m2yFu\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"CustomComponent-bCuc0\",\"target\":\"CustomComponent-IEIUl\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-bCuc0œ}\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œCustomComponent-IEIUlœ,œinputTypesœ:[œstrœ],œtypeœ:œstrœ}\",\"id\":\"reactflow__edge-CustomComponent-bCuc0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-bCuc0œ}-CustomComponent-IEIUl{œfieldNameœ:œpromptœ,œidœ:œCustomComponent-IEIUlœ,œinputTypesœ:[œstrœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"CustomComponent-IEIUl\",\"inputTypes\":[\"str\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-bCuc0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"selected\":false}],\"viewport\":{\"x\":92.23454077990459,\"y\":183.8125619056221,\"zoom\":0.6070974421975234}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:33:18.503954\",\"folder\":null,\"id\":\"fe142ce5-32dc-4955-b186-672ced662f13\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Darwin\",\"description\":\"Conversation Catalyst Engine.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":626,\"id\":\"OpenAI-3ZVDh\",\"type\":\"genericNode\",\"position\":{\"x\":-4.0041891741949485,\"y\":-114.02615182719649},\"data\":{\"type\":\"OpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"batch_size\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":20,\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"best_of\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"best_of\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"frequency_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"frequency_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"logit_bias\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"logit_bias\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":256,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-davinci-003\",\"password\":false,\"options\":[\"text-davinci-003\",\"text-davinci-002\",\"text-curie-001\",\"text-babbage-001\",\"text-ada-001\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"sk-...\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"presence_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"presence_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"top_p\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"top_p\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"OpenAI\"},\"description\":\"OpenAI large language models.\",\"base_classes\":[\"OpenAI\",\"BaseLLM\",\"BaseOpenAI\",\"BaseLanguageModel\"],\"display_name\":\"OpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAI-3ZVDh\"},\"selected\":true,\"positionAbsolute\":{\"x\":-4.0041891741949485,\"y\":-114.02615182719649},\"dragging\":false},{\"width\":384,\"height\":338,\"id\":\"LLMChain-RFYXY\",\"type\":\"genericNode\",\"position\":{\"x\":586.672100458868,\"y\":10.967049167706678},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-RFYXY\"},\"positionAbsolute\":{\"x\":586.672100458868,\"y\":10.967049167706678}},{\"width\":384,\"height\":242,\"id\":\"ChatPromptTemplate-ce1sg\",\"type\":\"genericNode\",\"position\":{\"x\":395.598984452791,\"y\":612.188491773035},\"data\":{\"type\":\"ChatPromptTemplate\",\"node\":{\"template\":{\"messages\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"messages\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseMessagePromptTemplate\",\"list\":true},\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatPromptTemplate\"},\"description\":\"A prompt template for chat models.\",\"base_classes\":[\"ChatPromptTemplate\",\"BaseChatPromptTemplate\",\"BasePromptTemplate\"],\"display_name\":\"ChatPromptTemplate\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/how_to/prompts\",\"beta\":false,\"error\":null},\"id\":\"ChatPromptTemplate-ce1sg\"},\"selected\":false,\"positionAbsolute\":{\"x\":395.598984452791,\"y\":612.188491773035},\"dragging\":false}],\"edges\":[{\"source\":\"OpenAI-3ZVDh\",\"sourceHandle\":\"{œbaseClassesœ:[œOpenAIœ,œBaseLLMœ,œBaseOpenAIœ,œBaseLanguageModelœ],œdataTypeœ:œOpenAIœ,œidœ:œOpenAI-3ZVDhœ}\",\"target\":\"LLMChain-RFYXY\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-RFYXY\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"OpenAI\",\"BaseLLM\",\"BaseOpenAI\",\"BaseLanguageModel\"],\"dataType\":\"OpenAI\",\"id\":\"OpenAI-3ZVDh\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-OpenAI-3ZVDh{œbaseClassesœ:[œOpenAIœ,œBaseLLMœ,œBaseOpenAIœ,œBaseLanguageModelœ],œdataTypeœ:œOpenAIœ,œidœ:œOpenAI-3ZVDhœ}-LLMChain-RFYXY{œfieldNameœ:œllmœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\"},{\"source\":\"ChatPromptTemplate-ce1sg\",\"sourceHandle\":\"{œbaseClassesœ:[œChatPromptTemplateœ,œBaseChatPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œChatPromptTemplateœ,œidœ:œChatPromptTemplate-ce1sgœ}\",\"target\":\"LLMChain-RFYXY\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-RFYXY\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"ChatPromptTemplate\",\"BaseChatPromptTemplate\",\"BasePromptTemplate\"],\"dataType\":\"ChatPromptTemplate\",\"id\":\"ChatPromptTemplate-ce1sg\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatPromptTemplate-ce1sg{œbaseClassesœ:[œChatPromptTemplateœ,œBaseChatPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œChatPromptTemplateœ,œidœ:œChatPromptTemplate-ce1sgœ}-LLMChain-RFYXY{œfieldNameœ:œpromptœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":8.832868402772647,\"y\":189.85443326477025,\"zoom\":0.6070974421975235}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:50:19.584160\",\"folder\":null,\"id\":\"103766f0-1f50-427a-9ba7-2ab73343c524\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Perky Easley\",\"description\":\"Your Toolkit for Text Generation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-VPh47\",\"type\":\"genericNode\",\"position\":{\"x\":-328.5742193020408,\"y\":-420.1025929438987},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-3.5-turbo\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"sk-...\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseChatModel\",\"ChatOpenAI\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-VPh47\"},\"selected\":false,\"positionAbsolute\":{\"x\":-328.5742193020408,\"y\":-420.1025929438987},\"dragging\":false},{\"width\":384,\"height\":338,\"id\":\"LLMChain-NgFyo\",\"type\":\"genericNode\",\"position\":{\"x\":225.3113389084088,\"y\":-193.3520019494289},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-NgFyo\"},\"selected\":false,\"positionAbsolute\":{\"x\":225.3113389084088,\"y\":-193.3520019494289},\"dragging\":false},{\"width\":384,\"height\":374,\"id\":\"PromptTemplate-oAFjh\",\"type\":\"genericNode\",\"position\":{\"x\":-342.62522294052764,\"y\":391.20629510686103},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"links\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Answer everything with links\\n{links}\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"links\",\"display_name\":\"links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"BasePromptTemplate\",\"StringPromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"links\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-oAFjh\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-342.62522294052764,\"y\":391.20629510686103}}],\"edges\":[{\"source\":\"ChatOpenAI-VPh47\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VPh47œ}\",\"target\":\"LLMChain-NgFyo\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-NgFyo\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseChatModel\",\"ChatOpenAI\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-VPh47\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-VPh47{œbaseClassesœ:[œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VPh47œ}-LLMChain-NgFyo{œfieldNameœ:œllmœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\"},{\"source\":\"PromptTemplate-oAFjh\",\"sourceHandle\":\"{œbaseClassesœ:[œBasePromptTemplateœ,œStringPromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-oAFjhœ}\",\"target\":\"LLMChain-NgFyo\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-NgFyo\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"BasePromptTemplate\",\"StringPromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-oAFjh\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-PromptTemplate-oAFjh{œbaseClassesœ:[œBasePromptTemplateœ,œStringPromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-oAFjhœ}-LLMChain-NgFyo{œfieldNameœ:œpromptœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":338.6546182690814,\"y\":53.026340800283265,\"zoom\":0.7169776240079143}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:53:25.148460\",\"folder\":null,\"id\":\"a794fc48-5e9b-42a3-924f-7fe610500035\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"(D) Basic Chat (1) (4)\",\"description\":\"Simplest possible chat model\",\"data\":{\"nodes\":[{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-fBcfh\",\"type\":\"genericNode\",\"position\":{\"x\":228.87326389541306,\"y\":465.8628482073749},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-3.5-turbo\",\"password\":false,\"options\":[\"gpt-3.5-turbo-0613\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k-0613\",\"gpt-3.5-turbo-16k\",\"gpt-4-0613\",\"gpt-4-32k-0613\",\"gpt-4\",\"gpt-4-32k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"sk-...\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false,\"value\":60},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseChatModel\",\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\"},\"id\":\"ChatOpenAI-fBcfh\",\"value\":null},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":228.87326389541306,\"y\":465.8628482073749}},{\"width\":384,\"height\":310,\"id\":\"ConversationChain-bVNex\",\"type\":\"genericNode\",\"position\":{\"x\":806,\"y\":554},\"data\":{\"type\":\"ConversationChain\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":{\"_type\":\"default\"},\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLMOutputParser\",\"list\":false},\"prompt\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":{\"input_variables\":[\"history\",\"input\"],\"output_parser\":null,\"partial_variables\":{},\"template\":\"The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.\\n\\nCurrent conversation:\\n{history}\\nHuman: {input}\\nAI:\",\"template_format\":\"f-string\",\"validate_template\":true,\"_type\":\"prompt\"},\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false},\"input_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"input\",\"password\":false,\"name\":\"input_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"llm_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"llm_kwargs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"output_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"response\",\"password\":false,\"name\":\"output_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"return_final_only\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":true,\"password\":false,\"name\":\"return_final_only\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ConversationChain\"},\"description\":\"Chain to have a conversation and load context from memory.\",\"base_classes\":[\"ConversationChain\",\"Chain\",\"LLMChain\",\"function\"],\"display_name\":\"ConversationChain\",\"documentation\":\"\"},\"id\":\"ConversationChain-bVNex\",\"value\":null},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":806,\"y\":554}}],\"edges\":[{\"source\":\"ChatOpenAI-fBcfh\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseChatModelœ,œBaseLanguageModelœ,œChatOpenAIœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-fBcfhœ}\",\"target\":\"ConversationChain-bVNex\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œConversationChain-bVNexœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"className\":\"stroke-gray-900  stroke-connection\",\"id\":\"reactflow__edge-ChatOpenAI-fBcfh{œbaseClassesœ:[œBaseChatModelœ,œBaseLanguageModelœ,œChatOpenAIœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-fBcfhœ}-ConversationChain-bVNex{œfieldNameœ:œllmœ,œidœ:œConversationChain-bVNexœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"BaseChatModel\",\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-fBcfh\"},\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"ConversationChain-bVNex\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"}},\"style\":{\"stroke\":\"#555\"},\"animated\":false}],\"viewport\":{\"x\":-118.21416568593895,\"y\":-240.64815770363373,\"zoom\":0.7642485855675408}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:57:55.879806\",\"folder\":null,\"id\":\"bddebeea-b80a-4b28-8895-c4425687dcce\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Directory Loader\",\"description\":\"Generic File Loader\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"import os\\n\\nfrom langchain.schema import Document\\nfrom langflow import CustomComponent\\nimport glob\\n\\nclass DirectoryLoaderComponent(CustomComponent):\\n    display_name: str = \\\"Directory Loader\\\"\\n    description: str = \\\"Generic File Loader\\\"\\n    beta = True\\n    loaders_info = [\\n    {\\n        \\\"loader\\\": \\\"AirbyteJSONLoader\\\",\\n        \\\"name\\\": \\\"Airbyte JSON (.jsonl)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.AirbyteJSONLoader\\\",\\n        \\\"defaultFor\\\": [\\\"jsonl\\\"],\\n        \\\"allowdTypes\\\": [\\\"jsonl\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"JSONLoader\\\",\\n        \\\"name\\\": \\\"JSON (.json)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.JSONLoader\\\",\\n        \\\"defaultFor\\\": [\\\"json\\\"],\\n        \\\"allowdTypes\\\": [\\\"json\\\"],\\n        \\\"kwargs\\\": {\\\"jq_schema\\\": \\\".\\\", \\\"text_content\\\": False}\\n    },\\n    {\\n        \\\"loader\\\": \\\"BSHTMLLoader\\\",\\n        \\\"name\\\": \\\"BeautifulSoup4 HTML (.html, .htm)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.BSHTMLLoader\\\",\\n        \\\"allowdTypes\\\": [\\\"html\\\", \\\"htm\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"CSVLoader\\\",\\n        \\\"name\\\": \\\"CSV (.csv)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.CSVLoader\\\",\\n        \\\"defaultFor\\\": [\\\"csv\\\"],\\n        \\\"allowdTypes\\\": [\\\"csv\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"CoNLLULoader\\\",\\n        \\\"name\\\": \\\"CoNLL-U (.conllu)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.CoNLLULoader\\\",\\n        \\\"defaultFor\\\": [\\\"conllu\\\"],\\n        \\\"allowdTypes\\\": [\\\"conllu\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"EverNoteLoader\\\",\\n        \\\"name\\\": \\\"EverNote (.enex)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.EverNoteLoader\\\",\\n        \\\"defaultFor\\\": [\\\"enex\\\"],\\n        \\\"allowdTypes\\\": [\\\"enex\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"FacebookChatLoader\\\",\\n        \\\"name\\\": \\\"Facebook Chat (.json)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.FacebookChatLoader\\\",\\n        \\\"allowdTypes\\\": [\\\"json\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"OutlookMessageLoader\\\",\\n        \\\"name\\\": \\\"Outlook Message (.msg)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.OutlookMessageLoader\\\",\\n        \\\"defaultFor\\\": [\\\"msg\\\"],\\n        \\\"allowdTypes\\\": [\\\"msg\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"PyPDFLoader\\\",\\n        \\\"name\\\": \\\"PyPDF (.pdf)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.PyPDFLoader\\\",\\n        \\\"defaultFor\\\": [\\\"pdf\\\"],\\n        \\\"allowdTypes\\\": [\\\"pdf\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"STRLoader\\\",\\n        \\\"name\\\": \\\"Subtitle (.str)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.STRLoader\\\",\\n        \\\"defaultFor\\\": [\\\"str\\\"],\\n        \\\"allowdTypes\\\": [\\\"str\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"TextLoader\\\",\\n        \\\"name\\\": \\\"Text (.txt)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.TextLoader\\\",\\n        \\\"defaultFor\\\": [\\\"txt\\\"],\\n        \\\"allowdTypes\\\": [\\\"txt\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredEmailLoader\\\",\\n        \\\"name\\\": \\\"Unstructured Email (.eml)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredEmailLoader\\\",\\n        \\\"defaultFor\\\": [\\\"eml\\\"],\\n        \\\"allowdTypes\\\": [\\\"eml\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredHTMLLoader\\\",\\n        \\\"name\\\": \\\"Unstructured HTML (.html, .htm)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredHTMLLoader\\\",\\n        \\\"defaultFor\\\": [\\\"html\\\", \\\"htm\\\"],\\n        \\\"allowdTypes\\\": [\\\"html\\\", \\\"htm\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredMarkdownLoader\\\",\\n        \\\"name\\\": \\\"Unstructured Markdown (.md)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredMarkdownLoader\\\",\\n        \\\"defaultFor\\\": [\\\"md\\\"],\\n        \\\"allowdTypes\\\": [\\\"md\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredPowerPointLoader\\\",\\n        \\\"name\\\": \\\"Unstructured PowerPoint (.pptx)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredPowerPointLoader\\\",\\n        \\\"defaultFor\\\": [\\\"pptx\\\"],\\n        \\\"allowdTypes\\\": [\\\"pptx\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredWordLoader\\\",\\n        \\\"name\\\": \\\"Unstructured Word (.docx)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredWordLoader\\\",\\n        \\\"defaultFor\\\": [\\\"docx\\\"],\\n        \\\"allowdTypes\\\": [\\\"docx\\\"],\\n    },\\n]\\n\\n\\n    def build_config(self):\\n        loader_options = [\\\"Automatic\\\"] + [\\n            loader_info[\\\"name\\\"] for loader_info in self.loaders_info\\n        ]\\n\\n        file_types = []\\n        suffixes = []\\n\\n        for loader_info in self.loaders_info:\\n            if \\\"allowedTypes\\\" in loader_info:\\n                file_types.extend(loader_info[\\\"allowedTypes\\\"])\\n                suffixes.extend([f\\\".{ext}\\\" for ext in loader_info[\\\"allowedTypes\\\"]])\\n\\n        return {\\n            \\\"directory_path\\\": {\\n                \\\"display_name\\\": \\\"Directory Path\\\",\\n                \\\"required\\\": True,\\n            },\\n            \\\"loader\\\": {\\n                \\\"display_name\\\": \\\"Loader\\\",\\n                \\\"is_list\\\": True,\\n                \\\"required\\\": True,\\n                \\\"options\\\": loader_options,\\n                \\\"value\\\": \\\"Automatic\\\",\\n            },\\n        }\\n\\n    def build(self, directory_path: str, loader: str) -> Document:\\n        # Verifique se o diretório existe\\n        if not os.path.exists(directory_path):\\n            raise ValueError(f\\\"Directory not found: {directory_path}\\\")\\n\\n        files = glob.glob(directory_path + \\\"/*.*\\\")\\n\\n\\n        loader_info = None\\n        if loader == \\\"Automatic\\\":\\n            for file in files:\\n                file_type = file.split(\\\".\\\")[-1]\\n\\n\\n                for info in self.loaders_info:\\n                    if \\\"defaultFor\\\" in info:\\n                        if file_type in info[\\\"defaultFor\\\"]:\\n                            loader_info = info\\n                            break\\n                if loader_info:\\n                    break\\n\\n            if not loader_info:\\n                raise ValueError(\\n                    \\\"No default loader found for any file in the directory\\\"\\n                )\\n\\n        else:\\n            for info in self.loaders_info:\\n                if info[\\\"name\\\"] == loader:\\n                    loader_info = info\\n                    break\\n\\n            if not loader_info:\\n                raise ValueError(f\\\"Loader {loader} not found in the loader info list\\\")\\n\\n        loader_import = loader_info[\\\"import\\\"]\\n        module_name, class_name = loader_import.rsplit(\\\".\\\", 1)\\n\\n        try:\\n            # Importe o loader dinamicamente\\n            loader_module = __import__(module_name, fromlist=[class_name])\\n            loader_instance = getattr(loader_module, class_name)\\n        except ImportError as e:\\n            raise ValueError(\\n                f\\\"Loader {loader} could not be imported\\\\nLoader info:\\\\n{loader_info}\\\"\\n            ) from e\\n\\n        results = []\\n        for file in files:\\n            file_path = os.path.join(directory_path, file)\\n            kwargs = loader_info.get(\\\"kwargs\\\", {})\\n            result = loader_instance(file_path=file_path, **kwargs).load()\\n            results.append(result)\\n        self.status = results\\n        return results\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"directory_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"directory_path\",\"display_name\":\"Directory Path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"/Users/ogabrielluiz/Projects/langflow2/docs\"},\"loader\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"Automatic\",\"password\":false,\"options\":[\"Automatic\",\"Airbyte JSON (.jsonl)\",\"JSON (.json)\",\"BeautifulSoup4 HTML (.html, .htm)\",\"CSV (.csv)\",\"CoNLL-U (.conllu)\",\"EverNote (.enex)\",\"Facebook Chat (.json)\",\"Outlook Message (.msg)\",\"PyPDF (.pdf)\",\"Subtitle (.str)\",\"Text (.txt)\",\"Unstructured Email (.eml)\",\"Unstructured HTML (.html, .htm)\",\"Unstructured Markdown (.md)\",\"Unstructured PowerPoint (.pptx)\",\"Unstructured Word (.docx)\"],\"name\":\"loader\",\"display_name\":\"Loader\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true}},\"description\":\"Generic File Loader\",\"base_classes\":[\"Document\"],\"display_name\":\"Directory Loader\",\"custom_fields\":{\"directory_path\":null,\"loader\":null},\"output_types\":[\"Document\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-Ip6tG\"},\"id\":\"CustomComponent-Ip6tG\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-04T22:58:38.570303\",\"folder\":null,\"id\":\"5fe4debc-b6a7-45d4-a694-c02d8aa93b08\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Whisper Transcriber\",\"description\":\"Converts audio to text using OpenAI's Whisper.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import Optional, List, Dict, Union\\nfrom langflow.field_typing import (\\n    AgentExecutor,\\n    BaseChatMemory,\\n    BaseLanguageModel,\\n    BaseLLM,\\n    BaseLoader,\\n    BaseMemory,\\n    BaseOutputParser,\\n    BasePromptTemplate,\\n    BaseRetriever,\\n    Callable,\\n    Chain,\\n    ChatPromptTemplate,\\n    Data,\\n    Document,\\n    Embeddings,\\n    NestedDict,\\n    Object,\\n    PromptTemplate,\\n    TextSplitter,\\n    Tool,\\n    VectorStore,\\n)\\n\\nfrom openai import OpenAI\\nclass Component(CustomComponent):\\n    display_name: str = \\\"Whisper Transcriber\\\"\\n    description: str = \\\"Converts audio to text using OpenAI's Whisper.\\\"\\n\\n    def build_config(self):\\n        return {\\\"audio\\\":{\\\"field_type\\\":\\\"file\\\",\\\"suffixes\\\":[\\\".mp3\\\", \\\".mp4\\\", \\\".m4a\\\"]},\\\"OpenAIKey\\\":{\\\"field_type\\\":\\\"str\\\",\\\"password\\\":True}}\\n\\n    def build(self, audio:str, OpenAIKey:str) -> str:\\n        \\n        #  TODO: if output path, persist & load it instead\\n        \\n        client = OpenAI(api_key=OpenAIKey)\\n        \\n        audio_file= open(audio, \\\"rb\\\")\\n        transcript = client.audio.transcriptions.create(\\n          model=\\\"whisper-1\\\", \\n          file=audio_file,\\n          response_format=\\\"text\\\"\\n        )\\n        \\n        \\n        self.status = transcript\\n        return transcript\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"OpenAIKey\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"OpenAIKey\",\"display_name\":\"OpenAIKey\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"audio\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"suffixes\":[\".mp3\",\".mp4\",\".m4a\"],\"password\":false,\"name\":\"audio\",\"display_name\":\"audio\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"file_path\":\"/Users/rodrigonader/Library/Caches/langflow/19b3e1c9-90bf-405f-898a-e982f47adf76/a3308ce7e9b10088fcd985aabb6d17b012c6b6e81ff8806356574474c9d10229.m4a\",\"value\":\"Audio Recording 2023-11-29 at 12.12.04.m4a\"}},\"description\":\"Converts audio to text using OpenAI's Whisper.\",\"base_classes\":[\"str\"],\"display_name\":\"Whisper Transcriber\",\"custom_fields\":{\"OpenAIKey\":null,\"audio\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-GJRrs\"},\"id\":\"CustomComponent-GJRrs\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-04T22:58:39.710502\",\"folder\":null,\"id\":\"bd9e911d-46bd-429f-aa75-dd740430695e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Youtube Conversation\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":589,\"id\":\"CustomComponent-h0NSI\",\"type\":\"genericNode\",\"position\":{\"x\":714.9531293402755,\"y\":0.4994374160582993},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"import requests\\nfrom langflow import CustomComponent\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.schema import Document\\nfrom langchain.document_loaders import YoutubeLoader\\n\\n# Example usage:\\n\\nclass YourComponent(CustomComponent):\\n    display_name: str = \\\"YouTube Transcript\\\"\\n    description: str = \\\"YouTube transcripts refer to the written text versions of the spoken content in a video uploaded to the YouTube platform.\\\"\\n\\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"multiline\\\": True, \\\"required\\\": True}}\\n\\n    def build(self, url: str, llm: BaseLLM, dependencies: Document, language: str = \\\"en\\\") -> Document:\\n        dependencies\\n        response = requests.get(url)\\n        loader = YoutubeLoader.from_youtube_url(url, add_video_info=True, language=[language])\\n        result = loader.load()\\n        self.repr_value = str(result)\\n        return result\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"dependencies\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"dependencies\",\"display_name\":\"dependencies\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":false},\"language\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"en\",\"password\":false,\"name\":\"language\",\"display_name\":\"language\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLM\",\"list\":false},\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"YouTube transcripts refer to the written text versions of the spoken content in a video uploaded to the YouTube platform.\",\"base_classes\":[\"Document\"],\"display_name\":\"YouTube Transcript\",\"custom_fields\":{\"dependencies\":null,\"language\":null,\"llm\":null,\"url\":null},\"output_types\":[\"Document\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-h0NSI\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":714.9531293402755,\"y\":0.4994374160582993}},{\"width\":384,\"height\":629,\"id\":\"ChatOpenAI-q61Y2\",\"type\":\"genericNode\",\"position\":{\"x\":18,\"y\":625.5521045590924},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-3.5-turbo-16k\",\"password\":false,\"options\":[\"gpt-3.5-turbo-0613\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k-0613\",\"gpt-3.5-turbo-16k\",\"gpt-4-0613\",\"gpt-4-32k-0613\",\"gpt-4\",\"gpt-4-32k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-q61Y2\"},\"selected\":false,\"positionAbsolute\":{\"x\":18,\"y\":625.5521045590924},\"dragging\":false},{\"width\":384,\"height\":539,\"id\":\"Chroma-gVhy7\",\"type\":\"genericNode\",\"position\":{\"x\":2110.365967257855,\"y\":805.0149521868784},\"data\":{\"type\":\"Chroma\",\"node\":{\"template\":{\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"chromadb.Client\",\"list\":false},\"client_settings\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client_settings\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"chromadb.config.Setting\",\"list\":true},\"documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":true},\"embedding\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Embeddings\",\"list\":false},\"chroma_server_cors_allow_origins\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_cors_allow_origins\",\"display_name\":\"Chroma Server CORS Allow Origins\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"chroma_server_grpc_port\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_grpc_port\",\"display_name\":\"Chroma Server GRPC Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_host\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_host\",\"display_name\":\"Chroma Server Host\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_http_port\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_http_port\",\"display_name\":\"Chroma Server HTTP Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_ssl_enabled\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"chroma_server_ssl_enabled\",\"display_name\":\"Chroma Server SSL Enabled\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"collection_metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"collection_metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"collection_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"langchain\",\"password\":false,\"name\":\"collection_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"ids\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"ids\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"metadatas\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":true},\"persist\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"persist\",\"display_name\":\"Persist\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"persist_directory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"persist_directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"search_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"{}\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"NestedDict\",\"list\":false},\"_type\":\"Chroma\"},\"description\":\"Create a Chroma vectorstore from a raw documents.\",\"base_classes\":[\"VectorStore\",\"Chroma\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"Chroma\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/chroma\",\"beta\":false,\"error\":null},\"id\":\"Chroma-gVhy7\"},\"selected\":false,\"positionAbsolute\":{\"x\":2110.365967257855,\"y\":805.0149521868784},\"dragging\":false},{\"width\":384,\"height\":501,\"id\":\"RecursiveCharacterTextSplitter-1eaOX\",\"type\":\"genericNode\",\"position\":{\"x\":1409.2872773444874,\"y\":19.45456141103284},\"data\":{\"type\":\"RecursiveCharacterTextSplitter\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.schema import Document\\nfrom langflow.utils.util import build_loader_repr_from_documents\\n\\n\\nclass RecursiveCharacterTextSplitterComponent(CustomComponent):\\n    display_name: str = \\\"Recursive Character Text Splitter\\\"\\n    description: str = \\\"Split text into chunks of a specified length.\\\"\\n    documentation: str = \\\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"documents\\\": {\\n                \\\"display_name\\\": \\\"Documents\\\",\\n                \\\"info\\\": \\\"The documents to split.\\\",\\n            },\\n            \\\"separators\\\": {\\n                \\\"display_name\\\": \\\"Separators\\\",\\n                \\\"info\\\": 'The characters to split on.\\\\nIf left empty defaults to [\\\"\\\\\\\\n\\\\\\\\n\\\", \\\"\\\\\\\\n\\\", \\\" \\\", \\\"\\\"].',\\n                \\\"is_list\\\": True,\\n            },\\n            \\\"chunk_size\\\": {\\n                \\\"display_name\\\": \\\"Chunk Size\\\",\\n                \\\"info\\\": \\\"The maximum length of each chunk.\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 1000,\\n            },\\n            \\\"chunk_overlap\\\": {\\n                \\\"display_name\\\": \\\"Chunk Overlap\\\",\\n                \\\"info\\\": \\\"The amount of overlap between chunks.\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 200,\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        documents: list[Document],\\n        separators: Optional[list[str]] = None,\\n        chunk_size: Optional[int] = 1000,\\n        chunk_overlap: Optional[int] = 200,\\n    ) -> list[Document]:\\n        \\\"\\\"\\\"\\n        Split text into chunks of a specified length.\\n\\n        Args:\\n            separators (list[str]): The characters to split on.\\n            chunk_size (int): The maximum length of each chunk.\\n            chunk_overlap (int): The amount of overlap between chunks.\\n            length_function (function): The function to use to calculate the length of the text.\\n\\n        Returns:\\n            list[str]: The chunks of text.\\n        \\\"\\\"\\\"\\n        from langchain.text_splitter import RecursiveCharacterTextSplitter\\n\\n        if separators == \\\"\\\":\\n            separators = None\\n        elif separators:\\n            # check if the separators list has escaped characters\\n            # if there are escaped characters, unescape them\\n            separators = [x.encode().decode(\\\"unicode-escape\\\") for x in separators]\\n\\n        # Make sure chunk_size and chunk_overlap are ints\\n        if isinstance(chunk_size, str):\\n            chunk_size = int(chunk_size)\\n        if isinstance(chunk_overlap, str):\\n            chunk_overlap = int(chunk_overlap)\\n        splitter = RecursiveCharacterTextSplitter(\\n            separators=separators,\\n            chunk_size=chunk_size,\\n            chunk_overlap=chunk_overlap,\\n        )\\n\\n        docs = splitter.split_documents(documents)\\n        self.repr_value = build_loader_repr_from_documents(docs)\\n        return docs\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"chunk_overlap\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"50\",\"password\":false,\"name\":\"chunk_overlap\",\"display_name\":\"Chunk Overlap\",\"advanced\":false,\"dynamic\":false,\"info\":\"The amount of overlap between chunks.\",\"type\":\"int\",\"list\":false},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"400\",\"password\":false,\"name\":\"chunk_size\",\"display_name\":\"Chunk Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"The maximum length of each chunk.\",\"type\":\"int\",\"list\":false},\"documents\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"The documents to split.\",\"type\":\"Document\",\"list\":true},\"separators\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"separators\",\"display_name\":\"Separators\",\"advanced\":false,\"dynamic\":false,\"info\":\"The characters to split on.\\nIf left empty defaults to [\\\"\\\\n\\\\n\\\", \\\"\\\\n\\\", \\\" \\\", \\\"\\\"].\",\"type\":\"str\",\"list\":true,\"value\":[\" \"]}},\"description\":\"Split text into chunks of a specified length.\",\"base_classes\":[\"Document\"],\"display_name\":\"Recursive Character Text Splitter\",\"custom_fields\":{\"chunk_overlap\":null,\"chunk_size\":null,\"documents\":null,\"separators\":null},\"output_types\":[\"RecursiveCharacterTextSplitter\"],\"documentation\":\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\",\"beta\":true,\"error\":null},\"id\":\"RecursiveCharacterTextSplitter-1eaOX\"},\"selected\":false,\"positionAbsolute\":{\"x\":1409.2872773444874,\"y\":19.45456141103284},\"dragging\":false},{\"width\":384,\"height\":367,\"id\":\"OpenAIEmbeddings-cduOO\",\"type\":\"genericNode\",\"position\":{\"x\":1405.1176670984544,\"y\":1029.459061269321},\"data\":{\"type\":\"OpenAIEmbeddings\",\"node\":{\"template\":{\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Literal'all'\",\"list\":true},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Literal'all'\",\"list\":true},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1000,\"password\":false,\"name\":\"chunk_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"deployment\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"embedding_ctx_length\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":8191,\"password\":false,\"name\":\"embedding_ctx_length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"{'Authorization': 'Bearer <token>'}\",\"password\":false,\"name\":\"headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_type\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_version\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"show_progress_bar\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"show_progress_bar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"skip_empty\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"skip_empty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"_type\":\"OpenAIEmbeddings\"},\"description\":\"OpenAI embedding models.\",\"base_classes\":[\"Embeddings\",\"OpenAIEmbeddings\"],\"display_name\":\"OpenAIEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAIEmbeddings-cduOO\"},\"selected\":false,\"positionAbsolute\":{\"x\":1405.1176670984544,\"y\":1029.459061269321}},{\"width\":384,\"height\":339,\"id\":\"RetrievalQA-4PmTB\",\"type\":\"genericNode\",\"position\":{\"x\":2711.7786966415715,\"y\":709.4450828605463},\"data\":{\"type\":\"RetrievalQA\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"combine_documents_chain\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"combine_documents_chain\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseCombineDocumentsChain\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"retriever\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseRetriever\",\"list\":false},\"input_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"query\",\"password\":false,\"name\":\"input_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"output_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"result\",\"password\":false,\"name\":\"output_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"return_source_documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":false,\"name\":\"return_source_documents\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"RetrievalQA\"},\"description\":\"Chain for question-answering against an index.\",\"base_classes\":[\"RetrievalQA\",\"Chain\",\"BaseRetrievalQA\",\"function\"],\"display_name\":\"RetrievalQA\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/chains/popular/vector_db_qa\",\"beta\":false,\"error\":null},\"id\":\"RetrievalQA-4PmTB\"},\"selected\":false,\"positionAbsolute\":{\"x\":2711.7786966415715,\"y\":709.4450828605463}},{\"width\":384,\"height\":333,\"id\":\"CombineDocsChain-yk0JF\",\"type\":\"genericNode\",\"position\":{\"x\":2125.6202053356537,\"y\":199.07708924409633},\"data\":{\"type\":\"CombineDocsChain\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"chain_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"stuff\",\"password\":false,\"options\":[\"stuff\",\"map_reduce\",\"map_rerank\",\"refine\"],\"name\":\"chain_type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"_type\":\"load_qa_chain\"},\"description\":\"Load question answering chain.\",\"base_classes\":[\"BaseCombineDocumentsChain\",\"function\"],\"display_name\":\"CombineDocsChain\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"id\":\"CombineDocsChain-yk0JF\"},\"selected\":false,\"positionAbsolute\":{\"x\":2125.6202053356537,\"y\":199.07708924409633},\"dragging\":false},{\"width\":384,\"height\":417,\"id\":\"CustomComponent-y6Wg0\",\"type\":\"genericNode\",\"position\":{\"x\":39.400034102832365,\"y\":-499.03551482195707},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nimport subprocess\\n\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain.prompts import PromptTemplate\\nfrom langchain.schema import Document\\n\\nfrom typing import List\\n\\n\\nclass YourComponent(CustomComponent):\\n    display_name: str = \\\"PIP Install\\\"\\n    description: str = \\\"Create any custom component you want!\\\"\\n\\n    def build(self, libs: List[str]) -> Document:\\n        def install_package(package_name):\\n            subprocess.check_call([\\\"pip\\\", \\\"install\\\", package_name])\\n        for lib in libs:\\n            install_package(lib)\\n        return \\\"\\\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"libs\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"libs\",\"display_name\":\"libs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"requests\",\"pytube\"]}},\"description\":\"Create any custom component you want!\",\"base_classes\":[\"Document\"],\"display_name\":\"PIP Install\",\"custom_fields\":{\"libs\":null},\"output_types\":[],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-y6Wg0\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":39.400034102832365,\"y\":-499.03551482195707}}],\"edges\":[{\"source\":\"ChatOpenAI-q61Y2\",\"sourceHandle\":\"{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}\",\"target\":\"CustomComponent-h0NSI\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œBaseLLMœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-q61Y2{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}-CustomComponent-h0NSI{œfieldNameœ:œllmœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œBaseLLMœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-q61Y2\"},\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"CustomComponent-h0NSI\",\"inputTypes\":null,\"type\":\"BaseLLM\"}}},{\"source\":\"CustomComponent-y6Wg0\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-y6Wg0œ}\",\"target\":\"CustomComponent-h0NSI\",\"targetHandle\":\"{œfieldNameœ:œdependenciesœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-y6Wg0{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-y6Wg0œ}-CustomComponent-h0NSI{œfieldNameœ:œdependenciesœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-y6Wg0\"},\"targetHandle\":{\"fieldName\":\"dependencies\",\"id\":\"CustomComponent-h0NSI\",\"inputTypes\":null,\"type\":\"Document\"}}},{\"source\":\"CustomComponent-h0NSI\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-h0NSIœ}\",\"target\":\"RecursiveCharacterTextSplitter-1eaOX\",\"targetHandle\":\"{œfieldNameœ:œdocumentsœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-h0NSI{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-h0NSIœ}-RecursiveCharacterTextSplitter-1eaOX{œfieldNameœ:œdocumentsœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-h0NSI\"},\"targetHandle\":{\"fieldName\":\"documents\",\"id\":\"RecursiveCharacterTextSplitter-1eaOX\",\"inputTypes\":null,\"type\":\"Document\"}},\"selected\":false},{\"source\":\"OpenAIEmbeddings-cduOO\",\"sourceHandle\":\"{œbaseClassesœ:[œEmbeddingsœ,œOpenAIEmbeddingsœ],œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-cduOOœ}\",\"target\":\"Chroma-gVhy7\",\"targetHandle\":\"{œfieldNameœ:œembeddingœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œEmbeddingsœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-OpenAIEmbeddings-cduOO{œbaseClassesœ:[œEmbeddingsœ,œOpenAIEmbeddingsœ],œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-cduOOœ}-Chroma-gVhy7{œfieldNameœ:œembeddingœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œEmbeddingsœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Embeddings\",\"OpenAIEmbeddings\"],\"dataType\":\"OpenAIEmbeddings\",\"id\":\"OpenAIEmbeddings-cduOO\"},\"targetHandle\":{\"fieldName\":\"embedding\",\"id\":\"Chroma-gVhy7\",\"inputTypes\":null,\"type\":\"Embeddings\"}}},{\"source\":\"RecursiveCharacterTextSplitter-1eaOX\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œRecursiveCharacterTextSplitterœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ}\",\"target\":\"Chroma-gVhy7\",\"targetHandle\":\"{œfieldNameœ:œdocumentsœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-RecursiveCharacterTextSplitter-1eaOX{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œRecursiveCharacterTextSplitterœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ}-Chroma-gVhy7{œfieldNameœ:œdocumentsœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"RecursiveCharacterTextSplitter\",\"id\":\"RecursiveCharacterTextSplitter-1eaOX\"},\"targetHandle\":{\"fieldName\":\"documents\",\"id\":\"Chroma-gVhy7\",\"inputTypes\":null,\"type\":\"Document\"}}},{\"source\":\"ChatOpenAI-q61Y2\",\"sourceHandle\":\"{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}\",\"target\":\"CombineDocsChain-yk0JF\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œCombineDocsChain-yk0JFœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-q61Y2{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}-CombineDocsChain-yk0JF{œfieldNameœ:œllmœ,œidœ:œCombineDocsChain-yk0JFœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-q61Y2\"},\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"CombineDocsChain-yk0JF\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"}}},{\"source\":\"CombineDocsChain-yk0JF\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseCombineDocumentsChainœ,œfunctionœ],œdataTypeœ:œCombineDocsChainœ,œidœ:œCombineDocsChain-yk0JFœ}\",\"target\":\"RetrievalQA-4PmTB\",\"targetHandle\":\"{œfieldNameœ:œcombine_documents_chainœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseCombineDocumentsChainœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CombineDocsChain-yk0JF{œbaseClassesœ:[œBaseCombineDocumentsChainœ,œfunctionœ],œdataTypeœ:œCombineDocsChainœ,œidœ:œCombineDocsChain-yk0JFœ}-RetrievalQA-4PmTB{œfieldNameœ:œcombine_documents_chainœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseCombineDocumentsChainœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"BaseCombineDocumentsChain\",\"function\"],\"dataType\":\"CombineDocsChain\",\"id\":\"CombineDocsChain-yk0JF\"},\"targetHandle\":{\"fieldName\":\"combine_documents_chain\",\"id\":\"RetrievalQA-4PmTB\",\"inputTypes\":null,\"type\":\"BaseCombineDocumentsChain\"}}},{\"source\":\"Chroma-gVhy7\",\"sourceHandle\":\"{œbaseClassesœ:[œVectorStoreœ,œChromaœ,œBaseRetrieverœ,œVectorStoreRetrieverœ],œdataTypeœ:œChromaœ,œidœ:œChroma-gVhy7œ}\",\"target\":\"RetrievalQA-4PmTB\",\"targetHandle\":\"{œfieldNameœ:œretrieverœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseRetrieverœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-Chroma-gVhy7{œbaseClassesœ:[œVectorStoreœ,œChromaœ,œBaseRetrieverœ,œVectorStoreRetrieverœ],œdataTypeœ:œChromaœ,œidœ:œChroma-gVhy7œ}-RetrievalQA-4PmTB{œfieldNameœ:œretrieverœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseRetrieverœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"VectorStore\",\"Chroma\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"dataType\":\"Chroma\",\"id\":\"Chroma-gVhy7\"},\"targetHandle\":{\"fieldName\":\"retriever\",\"id\":\"RetrievalQA-4PmTB\",\"inputTypes\":null,\"type\":\"BaseRetriever\"}}}],\"viewport\":{\"x\":189.54413265004274,\"y\":259.89949657174975,\"zoom\":0.291027508374689}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:59:08.830269\",\"folder\":null,\"id\":\"bc7eb94b-6fc6-49cb-9b19-35347ba51afa\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Web Scraper - Content & Links\",\"description\":\"Fetch and parse text and links from a given URL.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":338,\"id\":\"LLMChain-H7PBy\",\"type\":\"genericNode\",\"position\":{\"x\":1682.494010974207,\"y\":275.5701585623092},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-H7PBy\"},\"selected\":false,\"positionAbsolute\":{\"x\":1682.494010974207,\"y\":275.5701585623092},\"dragging\":false},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-VSAdc\",\"type\":\"genericNode\",\"position\":{\"x\":1002.4263147022411,\"y\":-198.2305006886859},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"sk-...\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"0.1\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-VSAdc\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":1002.4263147022411,\"y\":-198.2305006886859}},{\"width\":384,\"height\":374,\"data\":{\"id\":\"GroupNode-WXPMk\",\"type\":\"PromptTemplate\",\"node\":{\"output_types\":[],\"display_name\":\"Web Scraper\",\"documentation\":\"\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"description\":\"Fetch and parse text and links from a given URL.\",\"template\":{\"code_CustomComponent-f6nOg\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"code\"},\"display_name\":\"Code\"},\"ignore_links_CustomComponent-f6nOg\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"ignore_links\"}},\"code_CustomComponent-FGzJJ\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-FGzJJ\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-0XtUN\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-0XtUN\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-ODIcp\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-ODIcp\",\"field\":\"code\"},\"display_name\":\"Code\"},\"output_parser_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"output_parser\"},\"display_name\":\"Output Parser\"},\"input_types_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_types\"},\"display_name\":\"Input Types\"},\"input_variables_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"],\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_variables\"},\"display_name\":\"Input Variables\"},\"partial_variables_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"partial_variables\"},\"display_name\":\"Partial Variables\"},\"template_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\",\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template\"},\"display_name\":\"Template\"},\"template_format_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template_format\"},\"display_name\":\"Template Format\"},\"validate_template_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"validate_template\"},\"display_name\":\"Validate Template\"},\"query_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"give me links\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"query\"}},\"code_CustomComponent-OACE0\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"code\"},\"display_name\":\"Code\"},\"url_CustomComponent-OACE0\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"url\"},\"value\":\"https://paperswithcode.com/\"},\"code_CustomComponent-whsQ5\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n    display_name: str = \\\"List to Bullets\\\"\\n    description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n    def build(self, items: list) -> str:\\n        markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n        return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-whsQ5\",\"field\":\"code\"},\"display_name\":\"Code\"}},\"flow\":{\"data\":{\"nodes\":[{\"width\":384,\"height\":405,\"id\":\"CustomComponent-f6nOg\",\"type\":\"genericNode\",\"position\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-f6nOg\"},\"selected\":true,\"positionAbsolute\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"dragging\":false},{\"width\":384,\"height\":375,\"id\":\"CustomComponent-FGzJJ\",\"type\":\"genericNode\",\"position\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-FGzJJ\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-0XtUN\",\"type\":\"genericNode\",\"position\":{\"x\":214.00059169497604,\"y\":177.27071061129823},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse HTML\",\"custom_fields\":{\"html_content\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-0XtUN\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":214.00059169497604,\"y\":177.27071061129823}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-ODIcp\",\"type\":\"genericNode\",\"position\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract Hyperlinks\",\"custom_fields\":{\"soup\":null},\"output_types\":[\"list\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-ODIcp\"},\"selected\":true,\"positionAbsolute\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"dragging\":false},{\"width\":384,\"height\":657,\"id\":\"PromptTemplate-H9Udy\",\"type\":\"genericNode\",\"position\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_markdown\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_markdown\",\"display_name\":\"html_markdown\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_links\",\"display_name\":\"html_links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-H9Udy\"},\"selected\":true,\"positionAbsolute\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"dragging\":false},{\"width\":384,\"height\":347,\"id\":\"CustomComponent-OACE0\",\"type\":\"genericNode\",\"position\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":null,\"base_classes\":[\"str\"],\"display_name\":\"URL Input\",\"custom_fields\":{\"url\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-OACE0\"},\"selected\":true,\"positionAbsolute\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"dragging\":false},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-whsQ5\",\"type\":\"genericNode\",\"position\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n    display_name: str = \\\"List to Bullets\\\"\\n    description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n    def build(self, items: list) -> str:\\n        markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n        return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"items\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"items\",\"display_name\":\"items\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"list\",\"list\":true}},\"description\":\"Converts a Python list into Markdown bullet points.\",\"base_classes\":[\"str\"],\"display_name\":\"List to Bullets\",\"custom_fields\":{\"items\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-whsQ5\"},\"selected\":true,\"positionAbsolute\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"dragging\":false}],\"edges\":[{\"source\":\"CustomComponent-FGzJJ\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}\",\"target\":\"CustomComponent-f6nOg\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-f6nOgœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-f6nOg\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-FGzJJ\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-FGzJJ{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}-CustomComponent-f6nOg{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-f6nOgœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-FGzJJ\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}\",\"target\":\"CustomComponent-0XtUN\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-0XtUNœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-0XtUN\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-FGzJJ\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-FGzJJ{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}-CustomComponent-0XtUN{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-0XtUNœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-0XtUN\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-0XtUNœ}\",\"target\":\"CustomComponent-ODIcp\",\"targetHandle\":\"{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-ODIcpœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"soup\",\"id\":\"CustomComponent-ODIcp\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-0XtUN\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-0XtUN{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-0XtUNœ}-CustomComponent-ODIcp{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-ODIcpœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-OACE0\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}\",\"target\":\"CustomComponent-FGzJJ\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œCustomComponent-FGzJJœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"CustomComponent-FGzJJ\",\"inputTypes\":[\"Data\",\"str\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-OACE0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-OACE0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}-CustomComponent-FGzJJ{œfieldNameœ:œurlœ,œidœ:œCustomComponent-FGzJJœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-OACE0\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-OACE0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-OACE0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}-PromptTemplate-H9Udy{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-ODIcp\",\"sourceHandle\":\"{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ODIcpœ}\",\"target\":\"CustomComponent-whsQ5\",\"targetHandle\":\"{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-whsQ5œ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"items\",\"id\":\"CustomComponent-whsQ5\",\"inputTypes\":null,\"type\":\"list\"},\"sourceHandle\":{\"baseClasses\":[\"list\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-ODIcp\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-ODIcp{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ODIcpœ}-CustomComponent-whsQ5{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-whsQ5œ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"selected\":true},{\"source\":\"CustomComponent-whsQ5\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-whsQ5œ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_links\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-whsQ5\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-whsQ5{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-whsQ5œ}-PromptTemplate-H9Udy{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-f6nOg\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-f6nOgœ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_markdown\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-f6nOg\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-f6nOg{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-f6nOgœ}-PromptTemplate-H9Udy{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true}],\"viewport\":{\"x\":343.0346131188585,\"y\":341.89843948642147,\"zoom\":0.24148408223121196}},\"is_component\":false,\"name\":\"Fluffy Ptolemy\",\"description\":\"\",\"id\":\"W5oNW\"}}},\"id\":\"GroupNode-WXPMk\",\"position\":{\"x\":873.0737834322758,\"y\":598.8401015776466},\"type\":\"genericNode\",\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":873.0737834322758,\"y\":598.8401015776466}}],\"edges\":[{\"source\":\"ChatOpenAI-VSAdc\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VSAdcœ}\",\"target\":\"LLMChain-H7PBy\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-H7PBy\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-VSAdc\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-VSAdc{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VSAdcœ}-LLMChain-H7PBy{œfieldNameœ:œllmœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\"},{\"source\":\"GroupNode-WXPMk\",\"sourceHandle\":\"{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œGroupNode-WXPMkœ}\",\"target\":\"LLMChain-H7PBy\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-H7PBy\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"GroupNode-WXPMk\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-GroupNode-WXPMk{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œGroupNode-WXPMkœ}-LLMChain-H7PBy{œfieldNameœ:œpromptœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":-348.6161822813733,\"y\":121.40545291211492,\"zoom\":0.6801854262029781}},\"is_component\":false,\"updated_at\":\"2023-12-04T23:22:27.784647\",\"folder\":null,\"id\":\"efc3bf27-3cf1-4561-9a83-3df347572440\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sad Joliot\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":338,\"id\":\"LLMChain-RQsU1\",\"type\":\"genericNode\",\"position\":{\"x\":514.4440482813261,\"y\":528.164086188516},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-RQsU1\"},\"selected\":false,\"positionAbsolute\":{\"x\":514.4440482813261,\"y\":528.164086188516}},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-NTTcv\",\"type\":\"genericNode\",\"position\":{\"x\":-221.33853765781578,\"y\":-35.48749923706055},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"sk-...\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"0.1\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-NTTcv\"},\"selected\":false,\"positionAbsolute\":{\"x\":-221.33853765781578,\"y\":-35.48749923706055}},{\"width\":384,\"height\":374,\"id\":\"PromptTemplate-VELMV\",\"type\":\"genericNode\",\"position\":{\"x\":-222,\"y\":682.560723386973},\"data\":{\"id\":\"PromptTemplate-VELMV\",\"type\":\"PromptTemplate\",\"node\":{\"output_types\":[],\"display_name\":\"Web Scraper\",\"documentation\":\"\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"description\":\"Fetch and parse text and links from a given URL.\",\"template\":{\"code_CustomComponent-f6nOg\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"code\"},\"display_name\":\"Code\"},\"ignore_links_CustomComponent-f6nOg\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"ignore_links\"}},\"code_CustomComponent-FGzJJ\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-FGzJJ\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-0XtUN\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-0XtUN\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-ODIcp\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-ODIcp\",\"field\":\"code\"},\"display_name\":\"Code\"},\"output_parser_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"output_parser\"},\"display_name\":\"Output Parser\"},\"input_types_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_types\"},\"display_name\":\"Input Types\"},\"input_variables_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"],\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_variables\"},\"display_name\":\"Input Variables\"},\"partial_variables_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"partial_variables\"},\"display_name\":\"Partial Variables\"},\"template_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\",\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template\"},\"display_name\":\"Template\"},\"template_format_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template_format\"},\"display_name\":\"Template Format\"},\"validate_template_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"validate_template\"},\"display_name\":\"Validate Template\"},\"query_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"query\"}},\"code_CustomComponent-OACE0\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"code\"},\"display_name\":\"Code\"},\"url_CustomComponent-OACE0\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"url\"},\"value\":\"https://paperswithcode.com/\"},\"code_CustomComponent-whsQ5\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n    display_name: str = \\\"List to Bullets\\\"\\n    description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n    def build(self, items: list) -> str:\\n        markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n        return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-whsQ5\",\"field\":\"code\"},\"display_name\":\"Code\"}},\"flow\":{\"data\":{\"nodes\":[{\"width\":384,\"height\":405,\"id\":\"CustomComponent-f6nOg\",\"type\":\"genericNode\",\"position\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-f6nOg\"},\"selected\":true,\"positionAbsolute\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"dragging\":false},{\"width\":384,\"height\":375,\"id\":\"CustomComponent-FGzJJ\",\"type\":\"genericNode\",\"position\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-FGzJJ\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-0XtUN\",\"type\":\"genericNode\",\"position\":{\"x\":214.00059169497604,\"y\":177.27071061129823},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse HTML\",\"custom_fields\":{\"html_content\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-0XtUN\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":214.00059169497604,\"y\":177.27071061129823}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-ODIcp\",\"type\":\"genericNode\",\"position\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract Hyperlinks\",\"custom_fields\":{\"soup\":null},\"output_types\":[\"list\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-ODIcp\"},\"selected\":true,\"positionAbsolute\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"dragging\":false},{\"width\":384,\"height\":657,\"id\":\"PromptTemplate-H9Udy\",\"type\":\"genericNode\",\"position\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_markdown\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_markdown\",\"display_name\":\"html_markdown\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_links\",\"display_name\":\"html_links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-H9Udy\"},\"selected\":true,\"positionAbsolute\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"dragging\":false},{\"width\":384,\"height\":347,\"id\":\"CustomComponent-OACE0\",\"type\":\"genericNode\",\"position\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":null,\"base_classes\":[\"str\"],\"display_name\":\"URL Input\",\"custom_fields\":{\"url\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-OACE0\"},\"selected\":true,\"positionAbsolute\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"dragging\":false},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-whsQ5\",\"type\":\"genericNode\",\"position\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n    display_name: str = \\\"List to Bullets\\\"\\n    description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n    def build(self, items: list) -> str:\\n        markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n        return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"items\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"items\",\"display_name\":\"items\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"list\",\"list\":true}},\"description\":\"Converts a Python list into Markdown bullet points.\",\"base_classes\":[\"str\"],\"display_name\":\"List to Bullets\",\"custom_fields\":{\"items\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-whsQ5\"},\"selected\":true,\"positionAbsolute\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"dragging\":false}],\"edges\":[{\"source\":\"CustomComponent-FGzJJ\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}\",\"target\":\"CustomComponent-f6nOg\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-f6nOgœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-f6nOg\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-FGzJJ\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-FGzJJ{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}-CustomComponent-f6nOg{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-f6nOgœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-FGzJJ\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}\",\"target\":\"CustomComponent-0XtUN\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-0XtUNœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-0XtUN\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-FGzJJ\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-FGzJJ{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}-CustomComponent-0XtUN{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-0XtUNœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-0XtUN\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-0XtUNœ}\",\"target\":\"CustomComponent-ODIcp\",\"targetHandle\":\"{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-ODIcpœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"soup\",\"id\":\"CustomComponent-ODIcp\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-0XtUN\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-0XtUN{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-0XtUNœ}-CustomComponent-ODIcp{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-ODIcpœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-OACE0\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}\",\"target\":\"CustomComponent-FGzJJ\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œCustomComponent-FGzJJœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"CustomComponent-FGzJJ\",\"inputTypes\":[\"Data\",\"str\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-OACE0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-OACE0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}-CustomComponent-FGzJJ{œfieldNameœ:œurlœ,œidœ:œCustomComponent-FGzJJœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-OACE0\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-OACE0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-OACE0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}-PromptTemplate-H9Udy{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-ODIcp\",\"sourceHandle\":\"{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ODIcpœ}\",\"target\":\"CustomComponent-whsQ5\",\"targetHandle\":\"{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-whsQ5œ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"items\",\"id\":\"CustomComponent-whsQ5\",\"inputTypes\":null,\"type\":\"list\"},\"sourceHandle\":{\"baseClasses\":[\"list\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-ODIcp\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-ODIcp{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ODIcpœ}-CustomComponent-whsQ5{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-whsQ5œ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"selected\":true},{\"source\":\"CustomComponent-whsQ5\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-whsQ5œ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_links\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-whsQ5\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-whsQ5{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-whsQ5œ}-PromptTemplate-H9Udy{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-f6nOg\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-f6nOgœ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_markdown\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-f6nOg\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-f6nOg{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-f6nOgœ}-PromptTemplate-H9Udy{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true}],\"viewport\":{\"x\":343.0346131188585,\"y\":341.89843948642147,\"zoom\":0.24148408223121196}},\"is_component\":false,\"name\":\"Fluffy Ptolemy\",\"description\":\"\",\"id\":\"W5oNW\"}}},\"selected\":false,\"positionAbsolute\":{\"x\":-222,\"y\":682.560723386973}}],\"edges\":[{\"source\":\"ChatOpenAI-NTTcv\",\"target\":\"LLMChain-RQsU1\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-NTTcvœ}\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-RQsU1œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"id\":\"reactflow__edge-ChatOpenAI-NTTcv{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-NTTcvœ}-LLMChain-RQsU1{œfieldNameœ:œllmœ,œidœ:œLLMChain-RQsU1œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-RQsU1\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-NTTcv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 \",\"animated\":false,\"selected\":false},{\"source\":\"PromptTemplate-VELMV\",\"target\":\"LLMChain-RQsU1\",\"sourceHandle\":\"{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-VELMVœ}\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-RQsU1œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"id\":\"reactflow__edge-PromptTemplate-VELMV{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-VELMVœ}-LLMChain-RQsU1{œfieldNameœ:œpromptœ,œidœ:œLLMChain-RQsU1œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-RQsU1\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-VELMV\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 \",\"animated\":false,\"selected\":false}],\"viewport\":{\"x\":298.29888454238517,\"y\":96.95765543775741,\"zoom\":0.5140569133280332}},\"is_component\":false,\"updated_at\":\"2023-12-04T23:23:08.584967\",\"folder\":null,\"id\":\"5df79f1d-f592-4d59-8c0f-9f3c2f6465b1\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Silly Pasteur\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":338,\"id\":\"LLMChain-cHel8\",\"type\":\"genericNode\",\"position\":{\"x\":547.3876889720291,\"y\":299.2057833881307},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-cHel8\"},\"selected\":false,\"positionAbsolute\":{\"x\":547.3876889720291,\"y\":299.2057833881307},\"dragging\":false},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-LA6y0\",\"type\":\"genericNode\",\"position\":{\"x\":-272.94405331278074,\"y\":-603.148171441675},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"sk-...\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"0.1\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-LA6y0\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":-272.94405331278074,\"y\":-603.148171441675}},{\"width\":384,\"height\":404,\"id\":\"CustomComponent-ZNoRM\",\"type\":\"genericNode\",\"position\":{\"x\":-103.65741264289085,\"y\":134.62332404764658},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-ZNoRM\"},\"selected\":false,\"positionAbsolute\":{\"x\":-103.65741264289085,\"y\":134.62332404764658},\"dragging\":false},{\"width\":384,\"height\":374,\"id\":\"CustomComponent-zNSTv\",\"type\":\"genericNode\",\"position\":{\"x\":-1233.3963469933499,\"y\":280.77850809220325},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-zNSTv\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":-1233.3963469933499,\"y\":280.77850809220325}},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-Ihm2o\",\"type\":\"genericNode\",\"position\":{\"x\":-554.9404152016002,\"y\":683.6763775860567},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse HTML\",\"custom_fields\":{\"html_content\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-Ihm2o\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":-554.9404152016002,\"y\":683.6763775860567}},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-6ST9l\",\"type\":\"genericNode\",\"position\":{\"x\":76.10921262566495,\"y\":872.9491114949525},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract Hyperlinks\",\"custom_fields\":{\"soup\":null},\"output_types\":[\"list\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-6ST9l\"},\"selected\":false,\"positionAbsolute\":{\"x\":76.10921262566495,\"y\":872.9491114949525},\"dragging\":false},{\"width\":384,\"height\":654,\"id\":\"PromptTemplate-l35W1\",\"type\":\"genericNode\",\"position\":{\"x\":1461.4487148097069,\"y\":1090.896175351284},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"display_name\":\"output_parser\"},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"display_name\":\"input_types\"},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"],\"display_name\":\"input_variables\"},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"display_name\":\"partial_variables\"},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\",\"display_name\":\"template\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false,\"display_name\":\"template_format\"},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"display_name\":\"validate_template\"},\"_type\":\"PromptTemplate\",\"url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_markdown\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_markdown\",\"display_name\":\"html_markdown\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_links\",\"display_name\":\"html_links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-l35W1\"},\"selected\":false,\"positionAbsolute\":{\"x\":1461.4487148097069,\"y\":1090.896175351284},\"dragging\":false},{\"width\":384,\"height\":346,\"id\":\"CustomComponent-iTLf4\",\"type\":\"genericNode\",\"position\":{\"x\":-1924.8908014123388,\"y\":704.5414990162741},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"https://paperswithcode.com/\"}},\"description\":null,\"base_classes\":[\"str\"],\"display_name\":\"URL Input\",\"custom_fields\":{\"url\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-iTLf4\"},\"selected\":false,\"positionAbsolute\":{\"x\":-1924.8908014123388,\"y\":704.5414990162741},\"dragging\":false},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-jWLUz\",\"type\":\"genericNode\",\"position\":{\"x\":627.6164007410564,\"y\":1201.2365384322047},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n    display_name: str = \\\"List to Bullets\\\"\\n    description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n    def build(self, items: list) -> str:\\n        markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n        return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"items\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"items\",\"display_name\":\"items\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"list\",\"list\":true}},\"description\":\"Converts a Python list into Markdown bullet points.\",\"base_classes\":[\"str\"],\"display_name\":\"List to Bullets\",\"custom_fields\":{\"items\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-jWLUz\"},\"selected\":false,\"positionAbsolute\":{\"x\":627.6164007410564,\"y\":1201.2365384322047},\"dragging\":false}],\"edges\":[{\"source\":\"ChatOpenAI-LA6y0\",\"target\":\"LLMChain-cHel8\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-LA6y0œ}\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-cHel8œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"id\":\"reactflow__edge-ChatOpenAI-LA6y0{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-LA6y0œ}-LLMChain-cHel8{œfieldNameœ:œllmœ,œidœ:œLLMChain-cHel8œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-cHel8\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-LA6y0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"CustomComponent-zNSTv\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-zNSTvœ}\",\"target\":\"CustomComponent-ZNoRM\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-ZNoRMœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-ZNoRM\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-zNSTv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-zNSTv{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-zNSTvœ}-CustomComponent-ZNoRM{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-ZNoRMœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":false},{\"source\":\"CustomComponent-zNSTv\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-zNSTvœ}\",\"target\":\"CustomComponent-Ihm2o\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-Ihm2oœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-Ihm2o\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-zNSTv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-zNSTv{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-zNSTvœ}-CustomComponent-Ihm2o{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-Ihm2oœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":false},{\"source\":\"CustomComponent-Ihm2o\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-Ihm2oœ}\",\"target\":\"CustomComponent-6ST9l\",\"targetHandle\":\"{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-6ST9lœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"soup\",\"id\":\"CustomComponent-6ST9l\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-Ihm2o\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-Ihm2o{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-Ihm2oœ}-CustomComponent-6ST9l{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-6ST9lœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":false},{\"source\":\"CustomComponent-iTLf4\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-iTLf4œ}\",\"target\":\"CustomComponent-zNSTv\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œCustomComponent-zNSTvœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"CustomComponent-zNSTv\",\"inputTypes\":[\"Data\",\"str\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-iTLf4\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-iTLf4{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-iTLf4œ}-CustomComponent-zNSTv{œfieldNameœ:œurlœ,œidœ:œCustomComponent-zNSTvœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"selected\":false},{\"source\":\"CustomComponent-iTLf4\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-iTLf4œ}\",\"target\":\"PromptTemplate-l35W1\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"PromptTemplate-l35W1\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-iTLf4\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-iTLf4{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-iTLf4œ}-PromptTemplate-l35W1{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":false},{\"source\":\"CustomComponent-6ST9l\",\"sourceHandle\":\"{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-6ST9lœ}\",\"target\":\"CustomComponent-jWLUz\",\"targetHandle\":\"{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-jWLUzœ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"items\",\"id\":\"CustomComponent-jWLUz\",\"inputTypes\":null,\"type\":\"list\"},\"sourceHandle\":{\"baseClasses\":[\"list\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-6ST9l\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-6ST9l{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-6ST9lœ}-CustomComponent-jWLUz{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-jWLUzœ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"selected\":false},{\"source\":\"CustomComponent-jWLUz\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-jWLUzœ}\",\"target\":\"PromptTemplate-l35W1\",\"targetHandle\":\"{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_links\",\"id\":\"PromptTemplate-l35W1\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-jWLUz\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-jWLUz{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-jWLUzœ}-PromptTemplate-l35W1{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":false},{\"source\":\"CustomComponent-ZNoRM\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ZNoRMœ}\",\"target\":\"PromptTemplate-l35W1\",\"targetHandle\":\"{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_markdown\",\"id\":\"PromptTemplate-l35W1\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-ZNoRM\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-ZNoRM{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ZNoRMœ}-PromptTemplate-l35W1{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":false},{\"source\":\"PromptTemplate-l35W1\",\"sourceHandle\":\"{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-l35W1œ}\",\"target\":\"LLMChain-cHel8\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-cHel8œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-cHel8\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-l35W1\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-PromptTemplate-mJqEg{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-mJqEgœ}-LLMChain-cHel8{œfieldNameœ:œpromptœ,œidœ:œLLMChain-cHel8œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":206.6159172940935,\"y\":79.94375811155385,\"zoom\":0.5140569133280333}},\"is_component\":false,\"updated_at\":\"2023-12-06T00:23:04.515144\",\"folder\":null,\"id\":\"ecfb377a-7e88-405d-8d66-7560735ce446\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Lovelace\",\"description\":\"Smart Chains, Smarter Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-04T23:43:25.925753\",\"folder\":null,\"id\":\"30e71767-6128-40e4-9a6d-b9197b679971\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Custom Component\",\"description\":\"Create any custom component you want!\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\n\\nclass Component(CustomComponent):\\n    display_name: str = \\\"Custom Component\\\"\\n    description: str = \\\"Create any custom component you want!\\\"\\n    documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n    def build_config(self):\\n        return {\\\"param\\\": {\\\"display_name\\\": \\\"Parameter\\\"}}\\n\\n    def build(self, param: Data) -> Data:\\n        return param\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"param\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"param\",\"display_name\":\"Parameter\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Create any custom component you want!\",\"base_classes\":[\"Data\"],\"display_name\":\"Custom Component\",\"custom_fields\":{\"param\":null},\"output_types\":[\"CustomComponent\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-IxJqc\"},\"id\":\"CustomComponent-IxJqc\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-05T22:08:27.080204\",\"folder\":null,\"id\":\"f3c56abb-96d8-4a09-80d3-f60181661b3c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazing Wilson\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-05T23:49:58.272677\",\"folder\":null,\"id\":\"324499a6-17a6-49de-96b1-b88955ed2c3d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nauseous Kowalevski\",\"description\":\"Create, Curate, Communicate with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:27.084387\",\"folder\":null,\"id\":\"e3168485-d31b-472a-907f-faf833bf7824\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Silly Fermi\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.134463\",\"folder\":null,\"id\":\"d0ecea5d-bcf9-4b8e-88f0-3c243d309336\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Friendly Ardinghelli\",\"description\":\"Smart Chains, Smarter Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.138184\",\"folder\":null,\"id\":\"a406912d-b0e2-4954-bef3-ee80c29eca3c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Easley\",\"description\":\"Bridging Prompts for Brilliance.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.162908\",\"folder\":null,\"id\":\"57b32155-4c6e-4823-ad03-8dd09d8abc62\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Varahamihira\",\"description\":\"Create, Chain, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.135644\",\"folder\":null,\"id\":\"18daa0ff-2e5d-457a-95d7-710affec5c4d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jubilant Joliot\",\"description\":\"Language Architect at Work!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.139496\",\"folder\":null,\"id\":\"9255e938-280e-4ce7-91cd-8622126a7d02\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Adoring Carroll\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.162240\",\"folder\":null,\"id\":\"a7a680b9-30b1-4438-ac24-da597de443aa\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Berserk Herschel\",\"description\":\"Your Hub for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:46:02.593504\",\"folder\":null,\"id\":\"37a439b0-7b1d-45e3-b4fa-5c73669bae3b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Distracted Joliot\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:04.845238\",\"folder\":null,\"id\":\"4d23fd0a-8ad5-46b9-bb99-eed4138e7426\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Happy Babbage\",\"description\":\"Flow into the Future of Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:41.899665\",\"folder\":null,\"id\":\"1c8ad5b9-5524-41fe-a762-52c75126b832\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Adoring Brown\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.702031\",\"folder\":null,\"id\":\"9d4c8e79-4904-4a51-a4bb-146c3d8db10e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Focused Mahavira\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.786331\",\"folder\":null,\"id\":\"4ba370d1-1f8e-4a23-99aa-99e2cd9b7cbf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mad Gates\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.838989\",\"folder\":null,\"id\":\"992c3cd3-1d79-4986-8c04-88a34130fa30\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Serene Mcclintock\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.932723\",\"folder\":null,\"id\":\"a65bfd13-44df-4090-aca0-5057e21e9997\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Berserk Feynman\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.931359\",\"folder\":null,\"id\":\"7a05dac5-c005-411d-9994-19d61e71ce78\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sprightly Perlman\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:43.054687\",\"folder\":null,\"id\":\"6db24541-7211-48e6-a792-1a4a99a0ef90\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jolly Colden\",\"description\":\"Flow into the Future of Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:43.078384\",\"folder\":null,\"id\":\"13ac42e8-9124-4bf4-9ea2-28671ef2d9a4\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Kaku\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:50:33.156776\",\"folder\":null,\"id\":\"79262d75-5c62-4b14-b067-f4297f5c912f\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jovial Khayyam\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:51:13.295375\",\"folder\":null,\"id\":\"3b397e74-d8be-4728-9d6c-05f7c78106a7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Mccarthy\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:51:27.632685\",\"folder\":null,\"id\":\"13f4e1fd-45eb-4271-92fd-0d70a31c61d2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cocky Lalande\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:51:54.628983\",\"folder\":null,\"id\":\"9cfd60d8-9311-47b0-b71b-f488f1940bc7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Romantic Mirzakhani\",\"description\":\"Innovation in Interaction with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:52:52.622698\",\"folder\":null,\"id\":\"0d849403-0f75-455d-b4e4-0d622ee3305a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grinning Brown\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:53:06.056636\",\"folder\":null,\"id\":\"8643ba14-52d6-4d36-9981-5fd37de5dd76\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Kickass Watt\",\"description\":\"Transform Your Business with Smart Dialogues.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:53:23.338727\",\"folder\":null,\"id\":\"818d3066-bf08-4bf9-adcd-739f8abbfa5d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Bose\",\"description\":\"Unravel the Art of Articulation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:53:41.218861\",\"folder\":null,\"id\":\"28eff43e-0ecf-47bf-9851-f1492589978e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Optimistic Jennings\",\"description\":\"Create Powerful Connections, Boost Business Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:55:03.681106\",\"folder\":null,\"id\":\"68f59069-bc2a-464f-a983-4b61e32e01af\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pedantic Mirzakhani\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:55:31.761949\",\"folder\":null,\"id\":\"5d981c0e-81b3-44cc-a5be-8f55b92bfed5\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Peppy Murdock\",\"description\":\"Create Powerful Connections, Boost Business Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:56:45.548598\",\"folder\":null,\"id\":\"e812ad47-47e8-422b-b94c-84fd0263c9c8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Berserk Fermat\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:58:50.234270\",\"folder\":null,\"id\":\"82aaf449-e737-4699-9360-929ab6108dc7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tiny Albattani\",\"description\":\"Your Toolkit for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:59:53.946035\",\"folder\":null,\"id\":\"097cb080-274b-40ca-8dde-7900a949568a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cranky Kirch\",\"description\":\"Sculpting Language with Precision.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:00:51.745350\",\"folder\":null,\"id\":\"837d7b5f-8495-46a9-b00e-ad1b7ebb52f4\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Kowalevski\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:02:53.336102\",\"folder\":null,\"id\":\"3ff079c2-d9f9-4da6-a22a-423fa35670ff\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Radiant Stallman\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:03:28.268357\",\"folder\":null,\"id\":\"c8b204dd-3d57-4bc8-aa13-1d559672e75b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grinning Swirles\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:03:51.194455\",\"folder\":null,\"id\":\"a097f083-5880-4cf7-986b-51898bc68e11\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Dreamy Williams\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:04:36.678251\",\"folder\":null,\"id\":\"d9585f63-ce76-42ce-87bc-8e69601ea5c6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Zany Hawking\",\"description\":\"Flow into the Future of Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:05:13.672479\",\"folder\":null,\"id\":\"612a01d5-8c8d-4cc1-8c54-35626b7f4a6d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazing Kilby\",\"description\":\"Your Toolkit for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:10:37.047955\",\"folder\":null,\"id\":\"2d05a598-3cdf-452a-bd5d-b0e569e562e3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Insane Cori\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:18:12.426578\",\"folder\":null,\"id\":\"d1769a4a-c1e9-4d74-9273-1e76cfcf21f3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Compassionate Tesla\",\"description\":\"Graph Your Way to Great Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:18:52.806238\",\"folder\":null,\"id\":\"28c5d9dd-0466-4c80-9e58-b1e061cd358d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jubilant Goldstine\",\"description\":\"Harness the Power of Conversational AI.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:21:44.488510\",\"folder\":null,\"id\":\"b3c57e4f-28a1-4580-bf08-a9484bdd66e8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Elegant Curie\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:23:47.610237\",\"folder\":null,\"id\":\"28fb024e-6ba1-4f5b-83b3-4742b3b8117c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Chandrasekhar\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:24:29.824530\",\"folder\":null,\"id\":\"d2b87cf7-9167-4030-8e9f-b8d9aa0cadee\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Nobel\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:26:51.210699\",\"folder\":null,\"id\":\"c2c9fbac-7d97-40c2-8055-dff608df9414\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Elated Edison\",\"description\":\"Advanced NLP for Groundbreaking Business Solutions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:27:35.822482\",\"folder\":null,\"id\":\"a55561cd-4b25-473f-bde5-884cbabb0d24\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Dazzling Lichterman\",\"description\":\"Building Linguistic Labyrinths.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:29:09.259381\",\"folder\":null,\"id\":\"9c6fe6d4-8311-4fc6-8b02-2a816d7c059d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Distracted Bhaskara\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:31:36.053452\",\"folder\":null,\"id\":\"ef6fc1ab-aff8-45a1-8cd5-bc8e38565e4d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Watt\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:32:26.765250\",\"folder\":null,\"id\":\"499b5351-9c09-4934-9f9d-a24be2fd8b24\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jolly Wien\",\"description\":\"Bridging Prompts for Brilliance.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:33:23.648859\",\"folder\":null,\"id\":\"a57eda91-7f6e-410d-9990-385fe0c724f3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nostalgic Spence\",\"description\":\"Mapping Meaningful Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:34:22.576407\",\"folder\":null,\"id\":\"685f685e-8a1b-4b7e-9e21-6cdd72163c91\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Comical Fermat\",\"description\":\"Create, Connect, Converse.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:35:44.920540\",\"folder\":null,\"id\":\"3e061766-b834-4fa4-ba9c-b060925d9703\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grave Volta\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:36:33.001572\",\"folder\":null,\"id\":\"135f2fd9-e005-40bc-a9bf-c25107388415\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Davinci\",\"description\":\"Create Powerful Connections, Boost Business Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:37:16.208823\",\"folder\":null,\"id\":\"167cdb24-7e1c-475b-893a-cca2f125426c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hilarious Sinoussi\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:38:07.215401\",\"folder\":null,\"id\":\"48113cab-2c04-493f-8c2e-c8d067826aa2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grave Sagan\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:39:19.479656\",\"folder\":null,\"id\":\"28d292dc-e094-4ffe-a657-178892933267\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cranky Hoover\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:40:02.895859\",\"folder\":null,\"id\":\"0c9849b7-b2d6-4d0e-8334-abfb3ae183dd\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Mendeleev\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:40:27.867247\",\"folder\":null,\"id\":\"d78c52e9-1941-4555-9bb9-abd01f176705\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Dubinsky\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:41:23.177402\",\"folder\":null,\"id\":\"5277a04c-b5da-4597-aaa2-a6b66ea11d02\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cocky Poitras\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:42:08.731865\",\"folder\":null,\"id\":\"b0d0c8de-4eea-484a-a068-b13e63f7e71c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pedantic Ptolemy\",\"description\":\"Crafting Conversations, One Node at a Time.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:42:25.658996\",\"folder\":null,\"id\":\"b6f155e2-03eb-4232-9bab-145463382fe9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Loving Cray\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:43:57.530112\",\"folder\":null,\"id\":\"b75c10ca-9ecb-432b-88ab-e1847e836e22\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Pasteur\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:44:58.979393\",\"folder\":null,\"id\":\"3710eccb-e7a7-41d5-9339-d9c301515d17\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Gates\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:45:42.744174\",\"folder\":null,\"id\":\"fdd2271e-92f6-4349-8c01-2ec0e9e73f13\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Determined Khorana\",\"description\":\"Beyond Text Generation - Unleashing Business Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:46:10.084684\",\"folder\":null,\"id\":\"88b49a97-0888-4fea-8d9b-6ac2cc6d158e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Booth\",\"description\":\"Design Dialogues with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:46:41.577750\",\"folder\":null,\"id\":\"629afe54-8796-45be-a570-e3ac79c60792\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jubilant Mendeleev\",\"description\":\"Chain the Words, Master Language!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:47:22.631243\",\"folder\":null,\"id\":\"7bf481b0-73fe-4f5b-a3d4-1263d9d8e827\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Clever Varahamihira\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:49:51.026960\",\"folder\":null,\"id\":\"df9e86b6-56c9-4848-9010-102615314766\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sleepy Stallman\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:50:14.932236\",\"folder\":null,\"id\":\"3e66994c-9b7a-4b85-a917-65d1959d7352\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Modest Wozniak\",\"description\":\"Advanced NLP for Groundbreaking Business Solutions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:51:13.811894\",\"folder\":null,\"id\":\"d10f924a-5780-4255-9f41-3e102ae03e84\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hopeful Mirzakhani\",\"description\":\"Graph Your Way to Great Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:52:23.906908\",\"folder\":null,\"id\":\"f3378fa8-ccaf-4a3b-90d6-b8ab0c4e481f\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Awesome Joule\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:52:43.863440\",\"folder\":null,\"id\":\"deaa50e7-a8b1-46b1-856c-334ee781e1c2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Peppy Shockley\",\"description\":\"Generate, Innovate, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:53:43.299699\",\"folder\":null,\"id\":\"c72eac2c-d924-40c6-a102-da524216d090\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Zany Dewey\",\"description\":\"Flow into the Future of Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:54:18.848827\",\"folder\":null,\"id\":\"d9425324-bb60-462e-b431-90a536f2bc76\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gloomy Joliot\",\"description\":\"Language Engineering Excellence.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:12.348608\",\"folder\":null,\"id\":\"621ba134-3fac-487c-98cd-96941439f1be\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Backstabbing Franklin\",\"description\":\"Craft Language Connections Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.491824\",\"folder\":null,\"id\":\"86ca9773-c7b7-4a1a-859a-6cbe0ddff206\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sharp Swartz\",\"description\":\"Beyond Text Generation - Unleashing Business Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.524414\",\"folder\":null,\"id\":\"da1c02b7-d608-4498-9946-7d02f55fa103\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Serene Volta\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.641432\",\"folder\":null,\"id\":\"8d5dd998-6b51-4f65-8331-086a7f3b11d7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Focused Lichterman\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.746120\",\"folder\":null,\"id\":\"942027d3-e2ea-48c6-8279-0a41b54e8862\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Einstein\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.746904\",\"folder\":null,\"id\":\"9e9b6298-1073-4297-8ecc-3c620b432e70\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cocky Planck\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.747420\",\"folder\":null,\"id\":\"7cd60c83-b797-4e60-af6d-cbc540657943\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Suspicious Zobell\",\"description\":\"Innovation in Interaction, Revolution in Revenue.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.749951\",\"folder\":null,\"id\":\"dab08306-9521-4e15-aa11-e6a6a4e210f8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Small Knuth\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:16.772119\",\"folder\":null,\"id\":\"c9149590-636a-44f5-aaae-45a4e78fe4df\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Wright\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:52.954568\",\"folder\":null,\"id\":\"6b23b2ad-c07c-46f6-b9ad-268783d1712e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Vibrant Lalande\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.656156\",\"folder\":null,\"id\":\"ece3bcf6-a147-4559-862e-cacff9db5f48\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Happy Gauss\",\"description\":\"The Pinnacle of Prompt Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.717991\",\"folder\":null,\"id\":\"252b6021-ecad-4eaf-9e2f-106c4c89c496\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gigantic Rosalind\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.736261\",\"folder\":null,\"id\":\"b8cb6d8d-c0fb-4e8d-a46e-2c608dc8a714\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Adoring Hubble\",\"description\":\"Powerful Prompts, Perfectly Positioned.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.769546\",\"folder\":null,\"id\":\"553a67db-7225-474c-978e-8a40cde2bfb2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Mclean\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.981063\",\"folder\":null,\"id\":\"e0865007-4d80-4edf-87ab-9e8d2892d719\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Trusting Murdock\",\"description\":\"Uncover Business Opportunities with NLP.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.982286\",\"folder\":null,\"id\":\"1021cd20-66e0-4b81-9c79-bfe729774d20\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Perky Riemann\",\"description\":\"Powerful Prompts, Perfectly Positioned.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.983216\",\"folder\":null,\"id\":\"089074d3-8a1e-4d85-a59d-b4717090e4d3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Small Tesla\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:00:35.704142\",\"folder\":null,\"id\":\"beb49d88-255e-4db4-931b-4ab4358f1097\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Boyd\",\"description\":\"Smart Chains, Smarter Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:01:13.569507\",\"folder\":null,\"id\":\"75b5ab8d-e0c0-43cf-912b-8578550e198a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Small Babbage\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:01:27.944868\",\"folder\":null,\"id\":\"503edd55-8f70-43e5-87fb-2324eaf62336\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Bose\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:02:40.122079\",\"folder\":null,\"id\":\"ae4f2992-1a23-4a43-bec6-68b823935762\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Coulomb\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.263237\",\"folder\":null,\"id\":\"a2a464db-b02a-4440-ad9e-7b552ee6c027\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Drunk Newton\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.883766\",\"folder\":null,\"id\":\"1a5d9af7-5a96-4035-a09c-e15741785828\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jovial Pasteur\",\"description\":\"Your Hub for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.933083\",\"folder\":null,\"id\":\"04b94873-0828-41dc-a850-fd4132c9b9f1\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Playful Spence\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.967685\",\"folder\":null,\"id\":\"47003dc2-7884-48a3-aa66-e4185079f4d9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cheerful Noyce\",\"description\":\"Your Passport to Linguistic Landscapes.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.983198\",\"folder\":null,\"id\":\"13769cb4-2e15-4d54-a28a-c97dc15db58c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Awesome Edison\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:16.018879\",\"folder\":null,\"id\":\"453dacde-6b10-406b-a5b3-f90f44be6899\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Upbeat Snyder\",\"description\":\"Powerful Prompts, Perfectly Positioned.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:16.205689\",\"folder\":null,\"id\":\"9544fac9-3002-47aa-86b9-102844fe9649\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tender Khorana\",\"description\":\"Chain the Words, Master Language!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:16.243434\",\"folder\":null,\"id\":\"90498ef6-34f9-45c8-8cd0-fe6a36a26f41\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Elated Albattani\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:05:07.775497\",\"folder\":null,\"id\":\"9577c416-8ce8-48f6-ad6d-ab2e003bb415\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Charming Goodall\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:07:52.139318\",\"folder\":null,\"id\":\"f10dc08e-b9c7-44b3-8837-b95aee2f6dbb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hilarious Ramanujan\",\"description\":\"Harness the Power of Conversational AI.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:08:22.448480\",\"folder\":null,\"id\":\"c864bd8c-67cd-465f-bf7d-7a35c7df37f3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tender Mclean\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:09:56.507826\",\"folder\":null,\"id\":\"f0c13b19-ae23-40e6-88d6-d135897ee100\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grave Hawking\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:10:27.169757\",\"folder\":null,\"id\":\"0afb91b4-8f41-4270-900a-f5de647d45ad\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gloomy Lovelace\",\"description\":\"Your Passport to Linguistic Landscapes.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:11:02.292233\",\"folder\":null,\"id\":\"0f1e5dcf-8769-4157-b495-5f215b490107\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Fervent Kilby\",\"description\":\"Empowering Enterprises with Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:11:46.960966\",\"folder\":null,\"id\":\"310d03d9-dd50-4946-9a27-38ee06906212\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Admiring Almeida\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:12:24.475101\",\"folder\":null,\"id\":\"3cbc8fc2-a86f-4177-9a1c-a833b2a24283\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Elated Roentgen\",\"description\":\"Empowering Enterprises with Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:06.753571\",\"folder\":null,\"id\":\"c508e922-29e9-4234-84ae-505c5bdf41c1\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Perky Poitras\",\"description\":\"Chain the Words, Master Language!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.754605\",\"folder\":null,\"id\":\"1431df05-1b6f-41af-a063-a18d26a946ef\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tender Khayyam\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.791627\",\"folder\":null,\"id\":\"344e03fb-fd49-4e87-be67-7dce04ba655b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Zealous Mayer\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.803889\",\"folder\":null,\"id\":\"8b3ff1cb-3a6c-46ee-b09a-0e9f9f13a8b9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tiny Ramanujan\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.822583\",\"folder\":null,\"id\":\"18961e76-f4b1-4968-926a-fed22cb04f69\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cheerful Franklin\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.854440\",\"folder\":null,\"id\":\"0e0ee854-ab46-4333-a848-2e1239a24334\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Serene Swirles\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.988932\",\"folder\":null,\"id\":\"cc7b8238-3d15-4f78-bd0c-8311691c9ff8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sleepy Swartz\",\"description\":\"Uncover Business Opportunities with NLP.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:08.028688\",\"folder\":null,\"id\":\"123369f9-c83c-4ed3-93b6-78ca29c271cf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cranky Kowalevski\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.097607\",\"folder\":null,\"id\":\"ed4b1490-e9e5-46bf-b337-166b48eaadd6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sprightly Golick\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.617772\",\"folder\":null,\"id\":\"9d1be311-c618-4e3e-aeb1-4161ab37850e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Boring Newton\",\"description\":\"Generate, Innovate, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.646124\",\"folder\":null,\"id\":\"63a75f99-1745-40d3-9e27-3d19a143be45\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sprightly Noyce\",\"description\":\"Beyond Text Generation - Unleashing Business Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.685781\",\"folder\":null,\"id\":\"b418ca87-eb17-42e8-b789-3fcb0cab3ddb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Fluffy Fermat\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.705984\",\"folder\":null,\"id\":\"93802b07-eee9-4a2b-8691-7d9a231bd67e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Stoic Payne\",\"description\":\"Beyond Text Generation - Unleashing Business Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.723990\",\"folder\":null,\"id\":\"d62df661-0ae5-4b41-a9fb-71cb2e46ad52\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Darwin\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.818343\",\"folder\":null,\"id\":\"d1f62248-415c-474a-bfa6-3509a528a33b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Focused Thompson\",\"description\":\"Transform Your Business with Smart Dialogues.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.925999\",\"folder\":null,\"id\":\"d2267176-f020-4c52-90a4-7f944d7c1749\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Admiring Dewey\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:07.400402\",\"folder\":null,\"id\":\"8cf1ac8d-d34d-4e8a-a9da-be44672e1dfb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Prickly Zuse\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.384611\",\"folder\":null,\"id\":\"bae3cb5b-0f1b-4e95-bf58-7eab38da3d73\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hungry Zuse\",\"description\":\"The Pinnacle of Prompt Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.436591\",\"folder\":null,\"id\":\"4dfafe3e-e9ef-405d-be72-550084411d69\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Khayyam\",\"description\":\"Design Dialogues with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.435958\",\"folder\":null,\"id\":\"e0f81215-dc55-4b5a-b8cf-6e2fcbf297a7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Big Mendel\",\"description\":\"Innovation in Interaction with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.470080\",\"folder\":null,\"id\":\"5022a71c-da47-4975-a4d0-6d2d9e760d3d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Inquisitive Poitras\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.484430\",\"folder\":null,\"id\":\"4f1ff9e3-3500-404c-80af-2010bc46cdcb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Joyous Jones\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.661306\",\"folder\":null,\"id\":\"77af3e47-c2cc-42f6-99e1-78589439a447\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Exuberant Khayyam\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.662877\",\"folder\":null,\"id\":\"6f3e2e56-b329-47e3-86cc-024c29203016\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Dazzling Visvesvaraya\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.092917\",\"folder\":null,\"id\":\"449ac0ee-ee29-4a9f-9aff-fd6a86624457\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nostalgic Tesla\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.630382\",\"folder\":null,\"id\":\"a2136ed3-dc75-4a8f-ab34-6887ff955b23\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Noether\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.652058\",\"folder\":null,\"id\":\"fd1080f8-db07-481a-b2ba-60f67fcb20a6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Dazzling Pasteur\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.688661\",\"folder\":null,\"id\":\"d534d5e1-92aa-4fb2-a795-7071c4feba47\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Comical Sinoussi\",\"description\":\"Bridging Prompts for Brilliance.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.741385\",\"folder\":null,\"id\":\"85323170-c066-4d8f-acb0-1b142241389e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Small Ramanujan\",\"description\":\"Uncover Business Opportunities with NLP.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.790086\",\"folder\":null,\"id\":\"b0d18432-21ab-404b-acb6-57ef97353fad\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sick Joliot\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":442,\"id\":\"OpenAIEmbeddings-rVj1B\",\"type\":\"genericNode\",\"position\":{\"x\":-100.23754663035719,\"y\":-718.7575880388187},\"data\":{\"type\":\"OpenAIEmbeddings\",\"node\":{\"template\":{\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1000,\"password\":false,\"name\":\"chunk_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"deployment\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"embedding_ctx_length\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":8191,\"password\":false,\"name\":\"embedding_ctx_length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"password\":false,\"name\":\"headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_type\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_version\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"show_progress_bar\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"show_progress_bar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"skip_empty\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"skip_empty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_enabled\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":true,\"name\":\"tiktoken_enabled\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"OpenAIEmbeddings\"},\"description\":\"OpenAI embedding models.\",\"base_classes\":[\"OpenAIEmbeddings\",\"Embeddings\"],\"display_name\":\"OpenAIEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAIEmbeddings-rVj1B\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-100.23754663035719,\"y\":-718.7575880388187}}],\"edges\":[],\"viewport\":{\"x\":267.7156633365312,\"y\":716.9644817529361,\"zoom\":0.7169776240079139}},\"is_component\":false,\"updated_at\":\"2023-12-08T18:52:26.999440\",\"folder\":null,\"id\":\"be39958a-ef42-4fa8-8e54-b611e56b5c97\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Graceful Lumiere\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:11.012069\",\"folder\":null,\"id\":\"f7dcecfd-533c-4f40-9dcb-f213962ed1a2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"aaaaa\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":442,\"id\":\"OpenAIEmbeddings-P6Z0D\",\"type\":\"genericNode\",\"position\":{\"x\":-100.23754663035719,\"y\":-718.7575880388187},\"data\":{\"type\":\"OpenAIEmbeddings\",\"node\":{\"template\":{\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1000,\"password\":false,\"name\":\"chunk_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"deployment\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"embedding_ctx_length\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":8191,\"password\":false,\"name\":\"embedding_ctx_length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"password\":false,\"name\":\"headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_type\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_version\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"show_progress_bar\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"show_progress_bar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"skip_empty\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"skip_empty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_enabled\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":true,\"name\":\"tiktoken_enabled\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"_type\":\"OpenAIEmbeddings\"},\"description\":\"OpenAI embedding models.\",\"base_classes\":[\"OpenAIEmbeddings\",\"Embeddings\"],\"display_name\":\"OpenAIEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAIEmbeddings-P6Z0D\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-100.23754663035719,\"y\":-718.7575880388187}}],\"edges\":[],\"viewport\":{\"x\":266.7156633365312,\"y\":657.9644817529361,\"zoom\":0.7169776240079139}},\"is_component\":false,\"updated_at\":\"2023-12-08T19:05:14.503144\",\"folder\":null,\"id\":\"c2411a20-57c6-44cc-a0d0-2c857453633d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Aryabhata\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":459,\"id\":\"CustomComponent-Qhbd7\",\"type\":\"genericNode\",\"position\":{\"x\":-224.36198532285903,\"y\":-39.03047722134913},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nfrom openai import OpenAI\\n\\n\\nclass Component(CustomComponent):\\n    display_name: str = \\\"OpenAI STT english translator\\\"\\n    description: str = \\\"Transcript and translate any audio to english\\\"\\n    documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n    def build_config(self):\\n        return {\\\"audio_path\\\":{\\\"display_name\\\":\\\"Audio path\\\",\\\"input_types\\\":[\\\"str\\\"]},\\\"openAI_key\\\":{\\\"display_name\\\":\\\"OpenAI key\\\",\\\"password\\\":True}}\\n\\n    def build(self,audio_path:str,openAI_key:str) -> str:\\n        client = OpenAI(api_key=openAI_key)\\n        audio_file= open(audio_path, \\\"rb\\\")\\n        transcript = client.audio.translations.create(\\n          model=\\\"whisper-1\\\", \\n          file=audio_file\\n        )\\n        self.status = transcript.text\\n        return transcript.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"audio_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"audio_path\",\"display_name\":\"Audio path\",\"advanced\":false,\"input_types\":[\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"aaaaa\"},\"openAI_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openAI_key\",\"display_name\":\"OpenAI key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Transcript and translate any audio to english\",\"base_classes\":[\"str\"],\"display_name\":\"OpenAI STT english tra\",\"custom_fields\":{\"audio_path\":null,\"openAI_key\":null},\"output_types\":[\"str\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-Qhbd7\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-224.36198532285903,\"y\":-39.03047722134913}}],\"edges\":[],\"viewport\":{\"x\":433.8372868055629,\"y\":250.9611989970935,\"zoom\":0.8467453123625275}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:16:56.971879\",\"folder\":null,\"id\":\"122eee5d-9734-4e51-9da5-b39bead64a8d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Wing\",\"description\":\"Your Toolkit for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:23.227017\",\"folder\":null,\"id\":\"171d0063-6446-4c6a-8f5b-786a38951d44\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mad Boyd\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.063781\",\"folder\":null,\"id\":\"3a7af50c-6555-4004-a86e-1ea37e477900\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Boring Dewey\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.065404\",\"folder\":null,\"id\":\"dc4b4235-a550-41e2-9ddb-bcb352a1bc03\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nauseous Carroll\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.087501\",\"folder\":null,\"id\":\"9550e2bf-db7a-41f5-84e5-177a181bbeda\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Silly Engelbart\",\"description\":\"Generate, Innovate, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.112543\",\"folder\":null,\"id\":\"6a3a24bb-01cb-4d8e-8d17-0dc92d257322\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sassy Khayyam\",\"description\":\"Innovation in Interaction, Revolution in Revenue.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.147631\",\"folder\":null,\"id\":\"8d372f5e-ca12-4ea8-a1a1-8846afa72692\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Bell\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.212921\",\"folder\":null,\"id\":\"800f8785-0f41-4db3-aef8-9e3de5250526\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sleepy Bassi\",\"description\":\"Unleashing Business Potential through Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.395729\",\"folder\":null,\"id\":\"4589607a-065b-4a8f-ba52-5045d7b04086\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Volhard\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.263971\",\"folder\":null,\"id\":\"b2440ed8-44fa-4684-adf7-b5e84bff6577\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Ecstatic Poincare\",\"description\":\"Your Passport to Linguistic Landscapes.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.377270\",\"folder\":null,\"id\":\"b996f514-e0b8-432f-969b-7276630a8f4b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grave Zuse\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.406385\",\"folder\":null,\"id\":\"6e2e9c12-0afc-499e-acdd-adf4b5f7d4fc\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Big Hopper\",\"description\":\"Conversation Catalyst Engine.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.413014\",\"folder\":null,\"id\":\"e020f1a5-aa12-45e7-ba50-6eb64a735e60\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Jang\",\"description\":\"Conversation Catalyst Engine.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.433045\",\"folder\":null,\"id\":\"ee58f892-b7b2-408e-b4b9-9d862fc315aa\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Ohm\",\"description\":\"Promptly Ingenious!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.403404\",\"folder\":null,\"id\":\"023a1fc3-8807-4167-b6b2-f4e5daf036f1\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Distracted Degrasse\",\"description\":\"Bridging Prompts for Brilliance.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.411655\",\"folder\":null,\"id\":\"085f106f-c1e9-4a0f-ba31-d2fafe685d9c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Exuberant Volta\",\"description\":\"Catalyzing Business Growth through Conversational AI.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.408697\",\"folder\":null,\"id\":\"14481bb5-1353-452f-9359-d38c9419d79c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Bose\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:21.774940\",\"folder\":null,\"id\":\"e9316292-4ee1-441b-8327-0b09a7831fe9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Thirsty Easley\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.416556\",\"folder\":null,\"id\":\"668806ba-3efa-44de-aeb7-4ac082ba9172\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Joyous Mestorf\",\"description\":\"Generate, Innovate, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.484048\",\"folder\":null,\"id\":\"3fc0a371-aada-4450-9d17-33d3cc05c870\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Playful Franklin\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.509095\",\"folder\":null,\"id\":\"af967c98-5f08-4ee2-b1ce-6c16b4f9ebe2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Bhaskara\",\"description\":\"Empowering Enterprises with Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.508465\",\"folder\":null,\"id\":\"758c4164-b521-45d0-a15f-d49480e312eb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Funky Edison\",\"description\":\"Unravel the Art of Articulation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.602296\",\"folder\":null,\"id\":\"f9d3d30f-8859-433f-bafc-ccf1a7196e35\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Silly Ride\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.604061\",\"folder\":null,\"id\":\"0142bca5-eb61-42ed-9917-70c4c0f54eb0\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Noyce\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.603113\",\"folder\":null,\"id\":\"0b63d036-4669-4ceb-8ea4-34035340df77\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cocky Bhabha\",\"description\":\"Language Engineering Excellence.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.345767\",\"folder\":null,\"id\":\"8b9a66d4-a924-4b84-a2b5-5dd0645ac07a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Thirsty Zobell\",\"description\":\"Unleashing Business Potential through Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.722319\",\"folder\":null,\"id\":\"c912fd6b-b32d-409f-a0e5-c6249b066429\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Fervent Shaw\",\"description\":\"Language Architect at Work!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.750779\",\"folder\":null,\"id\":\"9d755cd4-c652-43e0-a68d-75a5475ce7a3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Giggly Newton\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.786602\",\"folder\":null,\"id\":\"0d3af7de-1ada-4c43-a69f-1bfad370ccfc\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Modest Yalow\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.792245\",\"folder\":null,\"id\":\"b6444376-4162-436b-8b40-f5a6afc850db\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sad Bhabha\",\"description\":\"Empowering Enterprises with Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.890349\",\"folder\":null,\"id\":\"d90af439-fb34-4d27-98f2-06f7f9a9ed8c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Spirited Hoover\",\"description\":\"The Pinnacle of Prompt Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.905750\",\"folder\":null,\"id\":\"31597ce2-de3c-490b-9ead-3f702f63cfd9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Trusting Davinci\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:08.001400\",\"folder\":null,\"id\":\"b43c63e9-a257-4a53-8acc-049e13706ac2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"23\",\"description\":\"23\",\"data\":{\"nodes\":[{\"width\":384,\"height\":467,\"id\":\"PromptTemplate-K7xiS\",\"type\":\"genericNode\",\"position\":{\"x\":-658.2250903773149,\"y\":809.352046606987},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"dasdas\",\"dasdasd\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"{dasdas}\\n{dasdasd}\\n\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"dasdas\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"dasdas\",\"display_name\":\"dasdas\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"dasdasd\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"dasdasd\",\"display_name\":\"dasdasd\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"PromptTemplate\",\"BasePromptTemplate\",\"StringPromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"dasdas\",\"dasdasd\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-K7xiS\"},\"selected\":false,\"positionAbsolute\":{\"x\":-658.2250903773149,\"y\":809.352046606987},\"dragging\":false},{\"width\":384,\"height\":366,\"id\":\"AirbyteJSONLoader-DXfcM\",\"type\":\"genericNode\",\"position\":{\"x\":-1110.8267574563533,\"y\":569.1107380883907},\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"suffixes\":[\".json\"],\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\"json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-DXfcM\"},\"selected\":false,\"positionAbsolute\":{\"x\":-1110.8267574563533,\"y\":569.1107380883907},\"dragging\":false},{\"width\":384,\"height\":376,\"id\":\"PromptRunner-ckWMH\",\"type\":\"genericNode\",\"position\":{\"x\":-1149.4746387825978,\"y\":992.3970573758324},\"data\":{\"type\":\"PromptRunner\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.prompts import PromptTemplate\\nfrom langchain.schema import Document\\n\\n\\nclass PromptRunner(CustomComponent):\\n    display_name: str = \\\"Prompt Runner\\\"\\n    description: str = \\\"Run a Chain with the given PromptTemplate\\\"\\n    beta: bool = True\\n    field_config = {\\n        \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n        \\\"prompt\\\": {\\n            \\\"display_name\\\": \\\"Prompt Template\\\",\\n            \\\"info\\\": \\\"Make sure the prompt has all variables filled.\\\",\\n        },\\n        \\\"code\\\": {\\\"show\\\": False},\\n    }\\n\\n    def build(self, llm: BaseLLM, prompt: PromptTemplate, inputs: dict = {}) -> Document:\\n        chain = prompt | llm\\n        # The input is an empty dict because the prompt is already filled\\n        result = chain.invoke(input=inputs)\\n        if hasattr(result, \\\"content\\\"):\\n            result = result.content\\n        self.repr_value = result\\n        return Document(page_content=str(result))\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"inputs\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"inputs\",\"display_name\":\"inputs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLM\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt Template\",\"advanced\":false,\"dynamic\":false,\"info\":\"Make sure the prompt has all variables filled.\",\"type\":\"PromptTemplate\",\"list\":false}},\"description\":\"Run a Chain with the given PromptTemplate\",\"base_classes\":[\"Document\"],\"display_name\":\"Prompt Runner\",\"custom_fields\":{\"inputs\":null,\"llm\":null,\"prompt\":null},\"output_types\":[\"PromptRunner\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"PromptRunner-ckWMH\"},\"selected\":false,\"positionAbsolute\":{\"x\":-1149.4746387825978,\"y\":992.3970573758324},\"dragging\":false}],\"edges\":[{\"source\":\"PromptRunner-ckWMH\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œPromptRunnerœ,œidœ:œPromptRunner-ckWMHœ}\",\"target\":\"PromptTemplate-K7xiS\",\"targetHandle\":\"{œfieldNameœ:œdasdasdœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"dasdasd\",\"id\":\"PromptTemplate-K7xiS\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"PromptRunner\",\"id\":\"PromptRunner-ckWMH\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-PromptRunner-ckWMH{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œPromptRunnerœ,œidœ:œPromptRunner-ckWMHœ}-PromptTemplate-K7xiS{œfieldNameœ:œdasdasdœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\"},{\"source\":\"AirbyteJSONLoader-DXfcM\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œAirbyteJSONLoaderœ,œidœ:œAirbyteJSONLoader-DXfcMœ}\",\"target\":\"PromptTemplate-K7xiS\",\"targetHandle\":\"{œfieldNameœ:œdasdasœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"dasdas\",\"id\":\"PromptTemplate-K7xiS\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"AirbyteJSONLoader\",\"id\":\"AirbyteJSONLoader-DXfcM\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-AirbyteJSONLoader-DXfcM{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œAirbyteJSONLoaderœ,œidœ:œAirbyteJSONLoader-DXfcMœ}-PromptTemplate-K7xiS{œfieldNameœ:œdasdasœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\"}],\"viewport\":{\"x\":721.09842496776,\"y\":-303.59762799439625,\"zoom\":0.6417129487814537}},\"is_component\":false,\"updated_at\":\"2023-12-08T22:52:14.560323\",\"folder\":null,\"id\":\"8533c46e-21fd-4b92-b68e-1086ea86c72d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Stonebraker\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:26:42.332360\",\"folder\":null,\"id\":\"92bc0875-4a73-44f2-9410-3b8342e404bf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search (1)\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n    display_name: str = \\\"Metaphor Search\\\"\\n    description: str = \\\"Search in Metaphor with a custom string.\\\"\\n    beta = True\\n    \\n    def build_config(self):\\n        return {\\n        \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"},   \\n        \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n        \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\",  \\\"is_list\\\": True},\\n        \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n        \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n        \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n        \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n    }\\n\\n    def build(\\n        self,\\n        methaphor_client: Data,\\n        query: str,\\n        search_type: str='keyword',\\n        search_num_results: int = 5,\\n        include_domains: List[str]= [\\\"youtube.com\\\"],\\n        use_autoprompt: bool = False,\\n        start_date: str=\\\"2023-01-01\\\",\\n        \\n    ) -> Data:\\n        \\n        results = []\\n        for domain in include_domains:\\n            response = methaphor_client.search(\\n                    query,\\n                    num_results=int(search_num_results),\\n                    include_domains=[domain],\\n                    use_autoprompt=use_autoprompt,\\n                    type=search_type,\\n                    # start_crawl_date=start_date,\\n                    start_published_date=start_date\\n                )\\n            results.extend(response.results)\\n    \\n        self.repr_value = results\\n\\n        return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-dMB5d\"},\"id\":\"CustomComponent-dMB5d\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:43.668665\",\"folder\":null,\"id\":\"912265df-9b87-4b30-a585-1ca59b944391\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search (2)\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n    display_name: str = \\\"Metaphor Search\\\"\\n    description: str = \\\"Search in Metaphor with a custom string.\\\"\\n    beta = True\\n    \\n    def build_config(self):\\n        return {\\n        \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"},   \\n        \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n        \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\",  \\\"is_list\\\": True},\\n        \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n        \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n        \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n        \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n    }\\n\\n    def build(\\n        self,\\n        methaphor_client: Data,\\n        query: str,\\n        search_type: str='keyword',\\n        search_num_results: int = 5,\\n        include_domains: List[str]= [\\\"youtube.com\\\"],\\n        use_autoprompt: bool = False,\\n        start_date: str=\\\"2023-01-01\\\",\\n        \\n    ) -> Data:\\n        \\n        results = []\\n        for domain in include_domains:\\n            response = methaphor_client.search(\\n                    query,\\n                    num_results=int(search_num_results),\\n                    include_domains=[domain],\\n                    use_autoprompt=use_autoprompt,\\n                    type=search_type,\\n                    # start_crawl_date=start_date,\\n                    start_published_date=start_date\\n                )\\n            results.extend(response.results)\\n    \\n        self.repr_value = results\\n\\n        return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-ipifC\"},\"id\":\"CustomComponent-ipifC\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:49.799612\",\"folder\":null,\"id\":\"ca83ee08-2f93-427d-9897-80fef6dd5447\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n    display_name: str = \\\"Metaphor Search\\\"\\n    description: str = \\\"Search in Metaphor with a custom string.\\\"\\n    beta = True\\n    \\n    def build_config(self):\\n        return {\\n        \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"},   \\n        \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n        \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\",  \\\"is_list\\\": True},\\n        \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n        \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n        \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n        \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n    }\\n\\n    def build(\\n        self,\\n        methaphor_client: Data,\\n        query: str,\\n        search_type: str='keyword',\\n        search_num_results: int = 5,\\n        include_domains: List[str]= [\\\"youtube.com\\\"],\\n        use_autoprompt: bool = False,\\n        start_date: str=\\\"2023-01-01\\\",\\n        \\n    ) -> Data:\\n        \\n        results = []\\n        for domain in include_domains:\\n            response = methaphor_client.search(\\n                    query,\\n                    num_results=int(search_num_results),\\n                    include_domains=[domain],\\n                    use_autoprompt=use_autoprompt,\\n                    type=search_type,\\n                    # start_crawl_date=start_date,\\n                    start_published_date=start_date\\n                )\\n            results.extend(response.results)\\n    \\n        self.repr_value = results\\n\\n        return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-Y4qL7\"},\"id\":\"CustomComponent-Y4qL7\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:53.719960\",\"folder\":null,\"id\":\"5847602b-769a-4a82-82e8-a70f54a59929\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Williams\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:27:45.691254\",\"folder\":null,\"id\":\"0e3bdba9-127a-4399-81a4-2865b70a4a47\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Shared Component\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":328,\"id\":\"CSVAgent-TK9Ea\",\"type\":\"genericNode\",\"position\":{\"x\":251.25514772667083,\"y\":160.7424529887874},\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"beta\":false,\"error\":null},\"id\":\"CSVAgent-TK9Ea\"},\"positionAbsolute\":{\"x\":251.25514772667083,\"y\":160.7424529887874}}],\"edges\":[],\"viewport\":{\"x\":104.85568116317398,\"y\":88.26375874183478,\"zoom\":0.7169776240079145}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:28:34.119070\",\"folder\":null,\"id\":\"29c1a247-47b0-457b-8666-7c0a67dc72b0\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"teste cristhian\",\"description\":\"11111\",\"data\":{\"nodes\":[{\"width\":384,\"height\":328,\"id\":\"CSVAgent-P5wrB\",\"type\":\"genericNode\",\"position\":{\"x\":251.25514772667083,\"y\":160.7424529887874},\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"beta\":false,\"error\":null},\"id\":\"CSVAgent-P5wrB\"},\"positionAbsolute\":{\"x\":251.25514772667083,\"y\":160.7424529887874}},{\"width\":384,\"height\":626,\"id\":\"OpenAI-zpihD\",\"type\":\"genericNode\",\"position\":{\"x\":-56.983202536768374,\"y\":61.715652677908665},\"data\":{\"type\":\"OpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"batch_size\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":20,\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"best_of\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"best_of\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"frequency_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"frequency_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"logit_bias\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"logit_bias\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-babbage-001\",\"password\":false,\"options\":[\"text-davinci-003\",\"text-davinci-002\",\"text-curie-001\",\"text-babbage-001\",\"text-ada-001\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false,\"value\":\"dasdasdasdsadasdas\"},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"presence_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"presence_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"1.4\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"top_p\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"top_p\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"OpenAI\"},\"description\":\"OpenAI large language models.\",\"base_classes\":[\"OpenAI\",\"BaseLanguageModel\",\"BaseLLM\",\"BaseOpenAI\"],\"display_name\":\"OpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAI-zpihD\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-56.983202536768374,\"y\":61.715652677908665}}],\"edges\":[],\"viewport\":{\"x\":104.85568116317398,\"y\":88.26375874183478,\"zoom\":0.7169776240079145}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:40:48.453096\",\"folder\":null,\"id\":\"2e59d013-2acb-49a6-915b-9231a7e6eb58\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVAgent (1)\",\"description\":\"Construct a CSV agent from a CSV and tools.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVAgent-jsHqy\"},\"id\":\"CSVAgent-jsHqy\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:31:17.317322\",\"folder\":null,\"id\":\"ab1034a9-9b5b-4c65-bf6e-9f098a403942\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Suspicious Wilsonfasdfsd\",\"description\":\"Building Linguistic Labyrinths.fasdfads\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T14:43:45.298121\",\"folder\":null,\"id\":\"7d91c0c5-fba6-4c60-b4d1-11d430ef357a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (1)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-pAHh6\"},\"id\":\"AirbyteJSONLoader-pAHh6\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:47:58.573137\",\"folder\":null,\"id\":\"f0cc4292-97cc-4748-803d-949e30dcf661\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"ff2\":\"d3bbd\"},{\"w\":\"bvd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-0zU2Q\"},\"id\":\"AirbyteJSONLoader-0zU2Q\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:50:09.035318\",\"folder\":null,\"id\":\"5e3c0d55-1a00-4e15-9821-0c625c6415ff\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVAgent\",\"description\":\"Construct a CSV agent from a CSV and tools.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVAgent-Ub1Xe\"},\"id\":\"CSVAgent-Ub1Xe\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:50:16.985419\",\"folder\":null,\"id\":\"baee8061-4788-4ce6-928f-c6ce1ecb443c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Heisenberg\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":366,\"id\":\"CSVLoader-RMUx9\",\"type\":\"genericNode\",\"position\":{\"x\":111,\"y\":345.51250076293945},\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"z2b\":\"z9\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null},\"id\":\"CSVLoader-RMUx9\"},\"positionAbsolute\":{\"x\":111,\"y\":345.51250076293945}}],\"edges\":[],\"viewport\":{\"x\":0,\"y\":0,\"zoom\":1}},\"is_component\":false,\"updated_at\":\"2023-12-09T14:38:40.291137\",\"folder\":null,\"id\":\"109e9629-d569-4555-9d40-42203a5ed035\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CohereEmbeddings\",\"description\":\"Cohere embedding models.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CohereEmbeddings\",\"node\":{\"template\":{\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cohere_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"cohere_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"embed-english-v2.0\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"truncate\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"truncate\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"user_agent\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"langchain\",\"password\":false,\"name\":\"user_agent\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"CohereEmbeddings\"},\"description\":\"Cohere embedding models.\",\"base_classes\":[\"CohereEmbeddings\",\"Embeddings\"],\"display_name\":\"CohereEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/cohere\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CohereEmbeddings-HFUAf\"},\"id\":\"CohereEmbeddings-HFUAf\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:50:46.172344\",\"folder\":null,\"id\":\"662d8040-d47c-40db-bda1-66489a1c9d24\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (1)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-3wrib\"},\"id\":\"CSVLoader-3wrib\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:56:11.662526\",\"folder\":null,\"id\":\"4fae6aec-ddbd-498d-a4d1-ca0290f6a5ad\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (2)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-VEjyx\"},\"id\":\"CSVLoader-VEjyx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:57:37.560784\",\"folder\":null,\"id\":\"d80635ee-966c-41f2-981c-afa2c388ac6e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (3)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-PIhOc\"},\"id\":\"CSVLoader-PIhOc\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:00:27.991966\",\"folder\":null,\"id\":\"c5cc4c32-77c8-4889-a9f8-2632466b7366\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (4)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-deB43\"},\"id\":\"CSVLoader-deB43\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:00:42.509243\",\"folder\":null,\"id\":\"0ab59938-ccf4-4bb9-b285-1f5da38648f0\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-mdkLm\"},\"id\":\"CSVLoader-mdkLm\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:02:17.458354\",\"folder\":null,\"id\":\"f127b7e7-4149-492e-8998-6b1b35ec4153\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (5)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-FRc6Y\"},\"id\":\"CSVLoader-FRc6Y\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:02:26.958867\",\"folder\":null,\"id\":\"a870a096-725c-4914-add0-8d57d710b7e5\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (2)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-Z0uol\"},\"id\":\"AirbyteJSONLoader-Z0uol\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:03:33.764117\",\"folder\":null,\"id\":\"2a37c76c-65c8-4c01-a72d-eb46f3d41a56\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-28ASv\"},\"id\":\"AmazonBedrockEmbeddings-28ASv\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:03:41.066618\",\"folder\":null,\"id\":\"850ba4e6-96ca-49a7-9b0c-4b7048fd52c8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"ConversationBufferMemory\",\"description\":\"Buffer for storing conversation memory.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"ConversationBufferMemory\",\"node\":{\"template\":{\"chat_memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMessageHistory\",\"list\":false},\"ai_prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"AI\",\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"human_prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"Human\",\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"input_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\",\"type\":\"str\",\"list\":false},\"memory_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"output_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\",\"type\":\"str\",\"list\":false},\"return_messages\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ConversationBufferMemory\"},\"description\":\"Buffer for storing conversation memory.\",\"base_classes\":[\"BaseMemory\",\"BaseChatMemory\",\"ConversationBufferMemory\"],\"display_name\":\"ConversationBufferMemory\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/buffer\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"ConversationBufferMemory-WaoLx\"},\"id\":\"ConversationBufferMemory-WaoLx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:04:46.058568\",\"folder\":null,\"id\":\"be650940-0449-4eb0-a708-056310f924fd\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (1)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-Bs5PG\"},\"id\":\"AmazonBedrockEmbeddings-Bs5PG\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:05:50.570800\",\"folder\":null,\"id\":\"53ad1fe2-f3af-4354-86e0-eb141ce12859\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (2)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-zSZ4t\"},\"id\":\"AmazonBedrockEmbeddings-zSZ4t\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:06:11.415088\",\"folder\":null,\"id\":\"e9ed1c90-146e-452d-8ccd-ebf2e0da4331\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (3)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-Bxhlt\"},\"id\":\"AmazonBedrockEmbeddings-Bxhlt\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:07:06.411108\",\"folder\":null,\"id\":\"83783c57-64e3-41a6-aa7e-ed82f80f1e53\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (6)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"z2b\":\"z9\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-2pn2o\"},\"id\":\"CSVLoader-2pn2o\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:38:30.706258\",\"folder\":null,\"id\":\"c4ae9de6-9df3-4d3c-afc9-1752af4fecd7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Agent Initializer\",\"description\":\"Initialize a Langchain Agent.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AgentInitializer\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, List, Union\\n\\nfrom langchain.agents import AgentExecutor, AgentType, initialize_agent, types\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool\\n\\n\\nclass AgentInitializerComponent(CustomComponent):\\n    display_name: str = \\\"Agent Initializer\\\"\\n    description: str = \\\"Initialize a Langchain Agent.\\\"\\n    documentation: str = \\\"https://python.langchain.com/docs/modules/agents/agent_types/\\\"\\n\\n    def build_config(self):\\n        agents = list(types.AGENT_TO_CLASS.keys())\\n        # field_type and required are optional\\n        return {\\n            \\\"agent\\\": {\\\"options\\\": agents, \\\"value\\\": agents[0], \\\"display_name\\\": \\\"Agent Type\\\"},\\n            \\\"max_iterations\\\": {\\\"display_name\\\": \\\"Max Iterations\\\", \\\"value\\\": 10},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"Language Model\\\"},\\n        }\\n\\n    def build(\\n        self, agent: str, llm: BaseLanguageModel, memory: BaseChatMemory, tools: List[Tool], max_iterations: int\\n    ) -> Union[AgentExecutor, Callable]:\\n        agent = AgentType(agent)\\n        return initialize_agent(\\n            tools=tools,\\n            llm=llm,\\n            agent=agent,\\n            memory=memory,\\n            return_intermediate_steps=True,\\n            handle_parsing_errors=True,\\n            max_iterations=max_iterations,\\n        )\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"agent\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"zero-shot-react-description\",\"password\":false,\"options\":[\"zero-shot-react-description\",\"react-docstore\",\"self-ask-with-search\",\"conversational-react-description\",\"chat-zero-shot-react-description\",\"chat-conversational-react-description\",\"structured-chat-zero-shot-react-description\",\"openai-functions\",\"openai-multi-functions\",\"JsonAgent\",\"CSVAgent\",\"AgentInitializer\",\"VectorStoreAgent\",\"VectorStoreRouterAgent\",\"SQLAgent\"],\"name\":\"agent\",\"display_name\":\"Agent Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"Language Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"max_iterations\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":10,\"password\":false,\"name\":\"max_iterations\",\"display_name\":\"Max Iterations\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"memory\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMemory\",\"list\":false},\"tools\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Tool\",\"list\":true}},\"description\":\"Initialize a Langchain Agent.\",\"base_classes\":[\"Chain\",\"AgentExecutor\",\"Callable\"],\"display_name\":\"Agent Initializer\",\"custom_fields\":{\"agent\":null,\"llm\":null,\"max_iterations\":null,\"memory\":null,\"tools\":null},\"output_types\":[\"AgentInitializer\"],\"documentation\":\"https://python.langchain.com/docs/modules/agents/agent_types/\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AgentInitializer-MJrAC\"},\"id\":\"AgentInitializer-MJrAC\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:42:54.715163\",\"folder\":null,\"id\":\"ff84b5f9-5680-4084-a9f1-7d94fe675486\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Agent Initializer (1)\",\"description\":\"Initialize a Langchain Agent.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AgentInitializer\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, List, Union\\n\\nfrom langchain.agents import AgentExecutor, AgentType, initialize_agent, types\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool\\n\\n\\nclass AgentInitializerComponent(CustomComponent):\\n    display_name: str = \\\"Agent Initializer\\\"\\n    description: str = \\\"Initialize a Langchain Agent.\\\"\\n    documentation: str = \\\"https://python.langchain.com/docs/modules/agents/agent_types/\\\"\\n\\n    def build_config(self):\\n        agents = list(types.AGENT_TO_CLASS.keys())\\n        # field_type and required are optional\\n        return {\\n            \\\"agent\\\": {\\\"options\\\": agents, \\\"value\\\": agents[0], \\\"display_name\\\": \\\"Agent Type\\\"},\\n            \\\"max_iterations\\\": {\\\"display_name\\\": \\\"Max Iterations\\\", \\\"value\\\": 10},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"Language Model\\\"},\\n        }\\n\\n    def build(\\n        self, agent: str, llm: BaseLanguageModel, memory: BaseChatMemory, tools: List[Tool], max_iterations: int\\n    ) -> Union[AgentExecutor, Callable]:\\n        agent = AgentType(agent)\\n        return initialize_agent(\\n            tools=tools,\\n            llm=llm,\\n            agent=agent,\\n            memory=memory,\\n            return_intermediate_steps=True,\\n            handle_parsing_errors=True,\\n            max_iterations=max_iterations,\\n        )\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"agent\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"zero-shot-react-description\",\"password\":false,\"options\":[\"zero-shot-react-description\",\"react-docstore\",\"self-ask-with-search\",\"conversational-react-description\",\"chat-zero-shot-react-description\",\"chat-conversational-react-description\",\"structured-chat-zero-shot-react-description\",\"openai-functions\",\"openai-multi-functions\",\"JsonAgent\",\"CSVAgent\",\"AgentInitializer\",\"VectorStoreAgent\",\"VectorStoreRouterAgent\",\"SQLAgent\"],\"name\":\"agent\",\"display_name\":\"Agent Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"Language Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"max_iterations\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":10,\"password\":false,\"name\":\"max_iterations\",\"display_name\":\"Max Iterations\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"memory\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMemory\",\"list\":false},\"tools\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Tool\",\"list\":true}},\"description\":\"Initialize a Langchain Agent.\",\"base_classes\":[\"Chain\",\"AgentExecutor\",\"Callable\"],\"display_name\":\"Agent Initializer\",\"custom_fields\":{\"agent\":null,\"llm\":null,\"max_iterations\":null,\"memory\":null,\"tools\":null},\"output_types\":[\"AgentInitializer\"],\"documentation\":\"https://python.langchain.com/docs/modules/agents/agent_types/\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AgentInitializer-3lcZ4\"},\"id\":\"AgentInitializer-3lcZ4\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:43:20.819934\",\"folder\":null,\"id\":\"97f5db9f-d6cc-4555-88fb-3be102c67814\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Exuberant Banach\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T14:52:49.951416\",\"folder\":null,\"id\":\"a600acd1-213a-4ce7-8648-ab2ee59f5918\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (3)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-JhQtx\"},\"id\":\"AirbyteJSONLoader-JhQtx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:44:49.587337\",\"folder\":null,\"id\":\"07c52ad7-ca52-4cdd-ab40-74a91dbad0dd\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (4)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-bIvDc\"},\"id\":\"AirbyteJSONLoader-bIvDc\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:45:13.458500\",\"folder\":null,\"id\":\"53e4d256-3653-444b-b8e0-fb97b3ae5c7e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (5)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-2BLS8\"},\"id\":\"AirbyteJSONLoader-2BLS8\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:45:44.461699\",\"folder\":null,\"id\":\"b5158cc1-c6b8-4e25-907a-bc7e7637aa38\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (4)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-NsBzN\"},\"id\":\"AmazonBedrockEmbeddings-NsBzN\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:50:29.791575\",\"folder\":null,\"id\":\"3fb77f72-1be7-4ce0-ae89-a82b0eee9acf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Golick\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.707854\",\"folder\":null,\"id\":\"9c5d21c2-ea82-4cf4-a591-c3d3fd3f13e6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Davinci (1)\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.761150\",\"folder\":null,\"id\":\"f8e2e16e-129c-4116-9626-2c6b524d97b7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Degrasse\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.764440\",\"folder\":null,\"id\":\"d7f4f7b5-effe-4834-8cab-4f2fc4f6e9de\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Prickly Archimedes\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.767546\",\"folder\":null,\"id\":\"2265d813-4a87-410f-b06a-65e35db8219e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Boring Heyrovsky\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.765105\",\"folder\":null,\"id\":\"10bfd881-e67e-4c33-965d-ee041695edce\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nostalgic Carroll\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.811794\",\"folder\":null,\"id\":\"63fa5653-4513-47f2-8dfa-baeb1d981f93\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Perlman\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.814993\",\"folder\":null,\"id\":\"f4bc5945-20d9-4703-a5bb-6a4a3ef7fc8e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hilarious Stallman\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.813144\",\"folder\":null,\"id\":\"8d8b80f9-4b74-4cd5-bc5c-08a32c4d2b95\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Awesome Einstein\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:19.518262\",\"folder\":null,\"id\":\"21808fd7-a492-4e29-8863-301c2785f542\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Funky Swanson\",\"description\":\"Sculpting Language with Precision.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.185637\",\"folder\":null,\"id\":\"7752299a-4aa9-44db-8d9c-5c4a2ac1b071\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Romantic Pascal\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.223064\",\"folder\":null,\"id\":\"78f48a13-6a9f-42ce-9d58-ec9b63b381d2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Bartik\",\"description\":\"Sculpting Language with Precision.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.239758\",\"folder\":null,\"id\":\"38074091-3d7c-4d42-b61b-ae195c1b8a4e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Condescending Joliot\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.271996\",\"folder\":null,\"id\":\"773020aa-5c2d-4632-ad9e-21276861ab93\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Kalam\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.283929\",\"folder\":null,\"id\":\"0092d077-6d31-401f-a739-b164476b90ed\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grinning Bhabha\",\"description\":\"Your Passport to Linguistic Landscapes.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.467739\",\"folder\":null,\"id\":\"4a395211-712d-4dd2-b3bb-e6b19200f15d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Babbage\",\"description\":\"Design Dialogues with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.742990\",\"folder\":null,\"id\":\"3f086a82-3e29-4328-9da8-e02dc9201744\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tiny Volta\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:24:18.594247\",\"folder\":null,\"id\":\"659b8289-c8e8-413d-9b2b-51e68411f170\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Radiant Jennings\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:24:42.640309\",\"folder\":null,\"id\":\"f55f0640-d47e-4471-b1ba-3411d38ecac5\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Distracted Shaw\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:24:58.376247\",\"folder\":null,\"id\":\"a039811e-449a-4244-83ed-4ddd731a0921\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Peppy Murdock (1)\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:25:14.674524\",\"folder\":null,\"id\":\"0faf6144-6ca6-4f64-a343-665ae54774ef\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Volta\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:26:50.418029\",\"folder\":null,\"id\":\"c5d149d0-c401-4f5e-b79f-2abcc7b8d98d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Bubbly Curie\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:27:10.900899\",\"folder\":null,\"id\":\"7bb2d226-9740-433d-861f-a499632c5a13\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Radiant Nobel\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:29:11.541630\",\"folder\":null,\"id\":\"947906d8-75ea-470c-a8e2-cc80c5d3bdbb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cheerful Northcutt\",\"description\":\"Unleashing Business Potential through Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:29:37.169791\",\"folder\":null,\"id\":\"56f109fd-2c18-42ed-a9b2-089a678a0c11\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Suspicious Khayyam\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:30:24.686359\",\"folder\":null,\"id\":\"551d7bfa-49aa-43f1-a779-e47eabc2aaf2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Spence\",\"description\":\"Create, Curate, Communicate with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:30:47.738472\",\"folder\":null,\"id\":\"12aef128-130e-492e-bf84-62d4cb4cd456\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Lavoisier\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:31:43.272365\",\"folder\":null,\"id\":\"9952c044-6903-4fba-a270-6ed0b90c93c9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Upbeat Bose\",\"description\":\"Unravel the Art of Articulation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:32:23.972035\",\"folder\":null,\"id\":\"65f49582-c9fa-4c67-a2bc-4e8fa73ca731\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tender Perlman\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:33:26.984083\",\"folder\":null,\"id\":\"9ae57fe2-c677-47fa-a059-7d3d915a1178\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sharp Cori\",\"description\":\"Conversation Catalyst Engine.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:33:52.377359\",\"folder\":null,\"id\":\"2920dde2-5c24-4fe0-9c06-ef86b5a16a99\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"}]"
+          },
+          "headersSize": -1,
+          "bodySize": -1,
+          "redirectURL": ""
+        },
+        "cache": {},
+        "timings": { "send": -1, "wait": -1, "receive": 1.03 }
+      },
+      {
+        "startedDateTime": "2023-12-11T18:54:58.423Z",
+        "time": 0.901,
+        "request": {
+          "method": "GET",
+          "url": "http://localhost:3000/api/v1/all",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            { "name": "Accept", "value": "application/json, text/plain, */*" },
+            { "name": "Accept-Encoding", "value": "gzip, deflate, br" },
+            { "name": "Accept-Language", "value": "en-US,en;q=0.9" },
+            {
+              "name": "Authorization",
+              "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20"
+            },
+            { "name": "Connection", "value": "keep-alive" },
+            {
+              "name": "Cookie",
+              "value": "access_tkn_lflw=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20; refresh_tkn_lflw=auto"
+            },
+            { "name": "Host", "value": "localhost:3000" },
+            { "name": "Referer", "value": "http://localhost:3000/flows" },
+            { "name": "Sec-Fetch-Dest", "value": "empty" },
+            { "name": "Sec-Fetch-Mode", "value": "cors" },
+            { "name": "Sec-Fetch-Site", "value": "same-origin" },
+            {
+              "name": "User-Agent",
+              "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36"
+            },
+            {
+              "name": "sec-ch-ua",
+              "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\""
+            },
+            { "name": "sec-ch-ua-mobile", "value": "?0" },
+            { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
+          ],
+          "queryString": [],
+          "headersSize": -1,
+          "bodySize": -1
+        },
+        "response": {
+          "status": 200,
+          "statusText": "OK",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            { "name": "Access-Control-Allow-Origin", "value": "*" },
+            { "name": "connection", "value": "close" },
+            { "name": "content-length", "value": "331584" },
+            { "name": "content-type", "value": "application/json" },
+            { "name": "date", "value": "Mon, 11 Dec 2023 18:54:58 GMT" },
+            { "name": "server", "value": "uvicorn" }
+          ],
+          "content": {
+            "size": -1,
+            "mimeType": "application/json",
+            "text": "{\"chains\":{\"ConversationalRetrievalChain\":{\"template\":{\"callbacks\":{\"type\":\"Callbacks\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"condense_question_llm\":{\"type\":\"BaseLanguageModel\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"condense_question_llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"condense_question_prompt\":{\"type\":\"BasePromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":{\"input_variables\":[\"chat_history\",\"question\"],\"input_types\":{},\"output_parser\":null,\"partial_variables\":{},\"template\":\"Given the following conversation and a follow up question, rephrase the follow up question to be a standalone question, in its original language.\\n\\nChat History:\\n{chat_history}\\nFollow Up Input: {question}\\nStandalone question:\",\"template_format\":\"f-string\",\"validate_template\":false},\"fileTypes\":[],\"password\":false,\"name\":\"condense_question_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory\":{\"type\":\"BaseChatMemory\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"retriever\":{\"type\":\"BaseRetriever\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"chain_type\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"stuff\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"stuff\",\"map_reduce\",\"map_rerank\",\"refine\"],\"name\":\"chain_type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"combine_docs_chain_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"combine_docs_chain_kwargs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"return_source_documents\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_source_documents\",\"display_name\":\"Return source documents\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ConversationalRetrievalChain\"},\"description\":\"Convenience method to load chain from LLM and retriever.\",\"base_classes\":[\"BaseConversationalRetrievalChain\",\"ConversationalRetrievalChain\",\"Chain\",\"Callable\"],\"display_name\":\"ConversationalRetrievalChain\",\"documentation\":\"https://python.langchain.com/docs/modules/chains/popular/chat_vector_db\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"LLMCheckerChain\":{\"template\":{\"check_assertions_prompt\":{\"type\":\"PromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":{\"input_variables\":[\"assertions\"],\"input_types\":{},\"output_parser\":null,\"partial_variables\":{},\"template\":\"Here is a bullet point list of assertions:\\n{assertions}\\nFor each assertion, determine whether it is true or false. If it is false, explain why.\\n\\n\",\"template_format\":\"f-string\",\"validate_template\":false},\"fileTypes\":[],\"password\":false,\"name\":\"check_assertions_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"create_draft_answer_prompt\":{\"type\":\"PromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":{\"input_variables\":[\"question\"],\"input_types\":{},\"output_parser\":null,\"partial_variables\":{},\"template\":\"{question}\\n\\n\",\"template_format\":\"f-string\",\"validate_template\":false},\"fileTypes\":[],\"password\":false,\"name\":\"create_draft_answer_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"list_assertions_prompt\":{\"type\":\"PromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":{\"input_variables\":[\"statement\"],\"input_types\":{},\"output_parser\":null,\"partial_variables\":{},\"template\":\"Here is a statement:\\n{statement}\\nMake a bullet point list of the assumptions you made when producing the above statement.\\n\\n\",\"template_format\":\"f-string\",\"validate_template\":false},\"fileTypes\":[],\"password\":false,\"name\":\"list_assertions_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"revised_answer_prompt\":{\"type\":\"PromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":{\"input_variables\":[\"checked_assertions\",\"question\"],\"input_types\":{},\"output_parser\":null,\"partial_variables\":{},\"template\":\"{checked_assertions}\\n\\nQuestion: In light of the above assertions and checks, how would you answer the question '{question}'?\\n\\nAnswer:\",\"template_format\":\"f-string\",\"validate_template\":false},\"fileTypes\":[],\"password\":false,\"name\":\"revised_answer_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"LLMCheckerChain\"},\"description\":\"\",\"base_classes\":[\"Chain\",\"LLMCheckerChain\",\"Callable\"],\"display_name\":\"LLMCheckerChain\",\"documentation\":\"https://python.langchain.com/docs/modules/chains/additional/llm_checker\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"LLMMathChain\":{\"template\":{\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"llm_chain\":{\"type\":\"LLMChain\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm_chain\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory\":{\"type\":\"BaseMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"prompt\":{\"type\":\"BasePromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":{\"input_variables\":[\"question\"],\"input_types\":{},\"output_parser\":null,\"partial_variables\":{},\"template\":\"Translate a math problem into a expression that can be executed using Python's numexpr library. Use the output of running this code to answer the question.\\n\\nQuestion: ${{Question with math problem.}}\\n```text\\n${{single line mathematical expression that solves the problem}}\\n```\\n...numexpr.evaluate(text)...\\n```output\\n${{Output of running the code}}\\n```\\nAnswer: ${{Answer}}\\n\\nBegin.\\n\\nQuestion: What is 37593 * 67?\\n```text\\n37593 * 67\\n```\\n...numexpr.evaluate(\\\"37593 * 67\\\")...\\n```output\\n2518731\\n```\\nAnswer: 2518731\\n\\nQuestion: 37593^(1/5)\\n```text\\n37593**(1/5)\\n```\\n...numexpr.evaluate(\\\"37593**(1/5)\\\")...\\n```output\\n8.222831614237718\\n```\\nAnswer: 8.222831614237718\\n\\nQuestion: {question}\\n\",\"template_format\":\"f-string\",\"validate_template\":false},\"fileTypes\":[],\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"question\",\"fileTypes\":[],\"password\":false,\"name\":\"input_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"output_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"answer\",\"fileTypes\":[],\"password\":false,\"name\":\"output_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"LLMMathChain\"},\"description\":\"Chain that interprets a prompt and executes python code to do math.\",\"base_classes\":[\"Chain\",\"LLMMathChain\",\"Callable\"],\"display_name\":\"LLMMathChain\",\"documentation\":\"https://python.langchain.com/docs/modules/chains/additional/llm_math\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"RetrievalQA\":{\"template\":{\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"combine_documents_chain\":{\"type\":\"BaseCombineDocumentsChain\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"combine_documents_chain\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory\":{\"type\":\"BaseMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"retriever\":{\"type\":\"BaseRetriever\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"query\",\"fileTypes\":[],\"password\":false,\"name\":\"input_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"output_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"result\",\"fileTypes\":[],\"password\":false,\"name\":\"output_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"return_source_documents\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"password\":false,\"name\":\"return_source_documents\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"RetrievalQA\"},\"description\":\"Chain for question-answering against an index.\",\"base_classes\":[\"RetrievalQA\",\"BaseRetrievalQA\",\"Chain\",\"Callable\"],\"display_name\":\"RetrievalQA\",\"documentation\":\"https://python.langchain.com/docs/modules/chains/popular/vector_db_qa\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"RetrievalQAWithSourcesChain\":{\"template\":{\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"combine_documents_chain\":{\"type\":\"BaseCombineDocumentsChain\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"combine_documents_chain\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory\":{\"type\":\"BaseMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"retriever\":{\"type\":\"BaseRetriever\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"answer_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"answer\",\"fileTypes\":[],\"password\":false,\"name\":\"answer_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_docs_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"docs\",\"fileTypes\":[],\"password\":false,\"name\":\"input_docs_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"max_tokens_limit\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":3375,\"fileTypes\":[],\"password\":false,\"name\":\"max_tokens_limit\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"question_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"question\",\"fileTypes\":[],\"password\":false,\"name\":\"question_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"reduce_k_below_max_tokens\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"reduce_k_below_max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"return_source_documents\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"password\":false,\"name\":\"return_source_documents\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"sources_answer_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"sources\",\"fileTypes\":[],\"password\":false,\"name\":\"sources_answer_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"RetrievalQAWithSourcesChain\"},\"description\":\"Question-answering with sources over an index.\",\"base_classes\":[\"RetrievalQAWithSourcesChain\",\"BaseQAWithSourcesChain\",\"Chain\",\"Callable\"],\"display_name\":\"RetrievalQAWithSourcesChain\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"SQLDatabaseChain\":{\"template\":{\"db\":{\"type\":\"SQLDatabase\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"db\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"prompt\":{\"type\":\"BasePromptTemplate\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"SQLDatabaseChain\"},\"description\":\"Create a SQLDatabaseChain from an LLM and a database connection.\",\"base_classes\":[\"SQLDatabaseChain\",\"Chain\",\"Callable\"],\"display_name\":\"SQLDatabaseChain\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"CombineDocsChain\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"chain_type\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"stuff\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"stuff\",\"map_reduce\",\"map_rerank\",\"refine\"],\"name\":\"chain_type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"load_qa_chain\"},\"description\":\"Load question answering chain.\",\"base_classes\":[\"BaseCombineDocumentsChain\",\"Callable\"],\"display_name\":\"CombineDocsChain\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"SeriesCharacterChain\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"character\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"character\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"series\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"series\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"SeriesCharacterChain\"},\"description\":\"SeriesCharacterChain is a chain you can use to have a conversation with a character from a series.\",\"base_classes\":[\"LLMChain\",\"BaseCustomChain\",\"Chain\",\"ConversationChain\",\"SeriesCharacterChain\",\"Callable\"],\"display_name\":\"SeriesCharacterChain\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"MidJourneyPromptChain\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory\":{\"type\":\"BaseChatMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"MidJourneyPromptChain\"},\"description\":\"MidJourneyPromptChain is a chain you can use to generate new MidJourney prompts.\",\"base_classes\":[\"LLMChain\",\"BaseCustomChain\",\"Chain\",\"ConversationChain\",\"MidJourneyPromptChain\"],\"display_name\":\"MidJourneyPromptChain\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"TimeTravelGuideChain\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory\":{\"type\":\"BaseChatMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"TimeTravelGuideChain\"},\"description\":\"Time travel guide chain.\",\"base_classes\":[\"LLMChain\",\"BaseCustomChain\",\"TimeTravelGuideChain\",\"Chain\",\"ConversationChain\"],\"display_name\":\"TimeTravelGuideChain\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"LLMChain\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory\":{\"type\":\"BaseMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"prompt\":{\"type\":\"BasePromptTemplate\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"documentation\":\"\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"field_formatters\":{},\"beta\":true},\"ConversationChain\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory\":{\"type\":\"BaseMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"Memory to load context from. If none is provided, a ConversationBufferMemory will be used.\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langchain.chains import ConversationChain\\nfrom typing import Optional, Union, Callable\\nfrom langflow.field_typing import BaseLanguageModel, BaseMemory, Chain\\n\\n\\nclass ConversationChainComponent(CustomComponent):\\n    display_name = \\\"ConversationChain\\\"\\n    description = \\\"Chain to have a conversation and load context from memory.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\n                \\\"display_name\\\": \\\"Memory\\\",\\n                \\\"info\\\": \\\"Memory to load context from. If none is provided, a ConversationBufferMemory will be used.\\\",\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        if memory is None:\\n            return ConversationChain(llm=llm)\\n        return ConversationChain(llm=llm, memory=memory)\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Chain to have a conversation and load context from memory.\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"ConversationChain\",\"documentation\":\"\",\"custom_fields\":{\"llm\":null,\"memory\":null},\"output_types\":[\"ConversationChain\"],\"field_formatters\":{},\"beta\":true},\"PromptRunner\":{\"template\":{\"llm\":{\"type\":\"BaseLLM\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"prompt\":{\"type\":\"PromptTemplate\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt Template\",\"advanced\":false,\"dynamic\":false,\"info\":\"Make sure the prompt has all variables filled.\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.prompts import PromptTemplate\\nfrom langchain.schema import Document\\n\\n\\nclass PromptRunner(CustomComponent):\\n    display_name: str = \\\"Prompt Runner\\\"\\n    description: str = \\\"Run a Chain with the given PromptTemplate\\\"\\n    beta: bool = True\\n    field_config = {\\n        \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n        \\\"prompt\\\": {\\n            \\\"display_name\\\": \\\"Prompt Template\\\",\\n            \\\"info\\\": \\\"Make sure the prompt has all variables filled.\\\",\\n        },\\n        \\\"code\\\": {\\\"show\\\": False},\\n    }\\n\\n    def build(self, llm: BaseLLM, prompt: PromptTemplate, inputs: dict = {}) -> Document:\\n        chain = prompt | llm\\n        # The input is an empty dict because the prompt is already filled\\n        result = chain.invoke(input=inputs)\\n        if hasattr(result, \\\"content\\\"):\\n            result = result.content\\n        self.repr_value = result\\n        return Document(page_content=str(result))\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"inputs\":{\"type\":\"dict\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"inputs\",\"display_name\":\"inputs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Run a Chain with the given PromptTemplate\",\"base_classes\":[\"Document\"],\"display_name\":\"Prompt Runner\",\"documentation\":\"\",\"custom_fields\":{\"inputs\":null,\"llm\":null,\"prompt\":null},\"output_types\":[\"PromptRunner\"],\"field_formatters\":{},\"beta\":true}},\"agents\":{\"ZeroShotAgent\":{\"template\":{\"callback_manager\":{\"type\":\"BaseCallbackManager\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callback_manager\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"output_parser\":{\"type\":\"AgentOutputParser\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tools\":{\"type\":\"BaseTool\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"format_instructions\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":true,\"value\":\"Use the following format:\\n\\nQuestion: the input question you must answer\\nThought: you should always think about what to do\\nAction: the action to take, should be one of [{tool_names}]\\nAction Input: the input to the action\\nObservation: the result of the action\\n... (this Thought/Action/Action Input/Observation can repeat N times)\\nThought: I now know the final answer\\nFinal Answer: the final answer to the original input question\",\"fileTypes\":[],\"password\":false,\"name\":\"format_instructions\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_variables\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"Answer the following questions as best you can. You have access to the following tools:\",\"fileTypes\":[],\"password\":false,\"name\":\"prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"suffix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"Begin!\\n\\nQuestion: {input}\\nThought:{agent_scratchpad}\",\"fileTypes\":[],\"password\":false,\"name\":\"suffix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ZeroShotAgent\"},\"description\":\"Construct an agent from an LLM and tools.\",\"base_classes\":[\"ZeroShotAgent\",\"BaseSingleActionAgent\",\"Agent\",\"Callable\"],\"display_name\":\"ZeroShotAgent\",\"documentation\":\"https://python.langchain.com/docs/modules/agents/how_to/custom_mrkl_agent\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"JsonAgent\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"toolkit\":{\"type\":\"BaseToolkit\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"toolkit\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"json_agent\"},\"description\":\"Construct a json agent from an LLM and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"JsonAgent\",\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/openapi\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"CSVAgent\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".csv\"],\"file_path\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"VectorStoreAgent\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"vectorstoreinfo\":{\"type\":\"VectorStoreInfo\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"vectorstoreinfo\",\"display_name\":\"Vector Store Info\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"vectorstore_agent\"},\"description\":\"Construct an agent from a Vector Store.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"VectorStoreAgent\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"VectorStoreRouterAgent\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"vectorstoreroutertoolkit\":{\"type\":\"VectorStoreRouterToolkit\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"vectorstoreroutertoolkit\",\"display_name\":\"Vector Store Router Toolkit\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"vectorstorerouter_agent\"},\"description\":\"Construct an agent from a Vector Store Router.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"VectorStoreRouterAgent\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"SQLAgent\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"database_uri\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"database_uri\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"sql_agent\"},\"description\":\"Construct an SQL agent from an LLM and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"SQLAgent\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"AgentInitializer\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"Language Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory\":{\"type\":\"BaseChatMemory\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tools\":{\"type\":\"Tool\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"agent\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"zero-shot-react-description\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"zero-shot-react-description\",\"react-docstore\",\"self-ask-with-search\",\"conversational-react-description\",\"chat-zero-shot-react-description\",\"chat-conversational-react-description\",\"structured-chat-zero-shot-react-description\",\"openai-functions\",\"openai-multi-functions\",\"JsonAgent\",\"CSVAgent\",\"AgentInitializer\",\"VectorStoreAgent\",\"VectorStoreRouterAgent\",\"SQLAgent\"],\"name\":\"agent\",\"display_name\":\"Agent Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, List, Union\\n\\nfrom langchain.agents import AgentExecutor, AgentType, initialize_agent, types\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool\\n\\n\\nclass AgentInitializerComponent(CustomComponent):\\n    display_name: str = \\\"Agent Initializer\\\"\\n    description: str = \\\"Initialize a Langchain Agent.\\\"\\n    documentation: str = \\\"https://python.langchain.com/docs/modules/agents/agent_types/\\\"\\n\\n    def build_config(self):\\n        agents = list(types.AGENT_TO_CLASS.keys())\\n        # field_type and required are optional\\n        return {\\n            \\\"agent\\\": {\\\"options\\\": agents, \\\"value\\\": agents[0], \\\"display_name\\\": \\\"Agent Type\\\"},\\n            \\\"max_iterations\\\": {\\\"display_name\\\": \\\"Max Iterations\\\", \\\"value\\\": 10},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"Language Model\\\"},\\n        }\\n\\n    def build(\\n        self, agent: str, llm: BaseLanguageModel, memory: BaseChatMemory, tools: List[Tool], max_iterations: int\\n    ) -> Union[AgentExecutor, Callable]:\\n        agent = AgentType(agent)\\n        return initialize_agent(\\n            tools=tools,\\n            llm=llm,\\n            agent=agent,\\n            memory=memory,\\n            return_intermediate_steps=True,\\n            handle_parsing_errors=True,\\n            max_iterations=max_iterations,\\n        )\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"max_iterations\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"max_iterations\",\"display_name\":\"Max Iterations\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Initialize a Langchain Agent.\",\"base_classes\":[\"AgentExecutor\",\"Chain\",\"Callable\"],\"display_name\":\"Agent Initializer\",\"documentation\":\"https://python.langchain.com/docs/modules/agents/agent_types/\",\"custom_fields\":{\"agent\":null,\"llm\":null,\"max_iterations\":null,\"memory\":null,\"tools\":null},\"output_types\":[\"AgentInitializer\"],\"field_formatters\":{},\"beta\":true},\"OpenAIConversationalAgent\":{\"template\":{\"memory\":{\"type\":\"BaseMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"system_message\":{\"type\":\"SystemMessagePromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"system_message\",\"display_name\":\"System Message\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tools\":{\"type\":\"Tool\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import List, Optional\\n\\nfrom langchain.agents.agent import AgentExecutor\\nfrom langchain.agents.agent_toolkits.conversational_retrieval.openai_functions import _get_default_system_message\\nfrom langchain.agents.openai_functions_agent.base import OpenAIFunctionsAgent\\nfrom langchain.chat_models import ChatOpenAI\\nfrom langchain.memory.token_buffer import ConversationTokenBufferMemory\\nfrom langchain.prompts import SystemMessagePromptTemplate\\nfrom langchain.prompts.chat import MessagesPlaceholder\\nfrom langchain.schema.memory import BaseMemory\\nfrom langchain.tools import Tool\\nfrom langflow import CustomComponent\\n\\n\\nclass ConversationalAgent(CustomComponent):\\n    display_name: str = \\\"OpenAI Conversational Agent\\\"\\n    description: str = \\\"Conversational Agent that can use OpenAI's function calling API\\\"\\n\\n    def build_config(self):\\n        openai_function_models = [\\n            \\\"gpt-4-1106-preview\\\",\\n            \\\"gpt-3.5-turbo\\\",\\n            \\\"gpt-3.5-turbo-16k\\\",\\n            \\\"gpt-4\\\",\\n            \\\"gpt-4-32k\\\",\\n        ]\\n        return {\\n            \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"system_message\\\": {\\\"display_name\\\": \\\"System Message\\\"},\\n            \\\"max_token_limit\\\": {\\\"display_name\\\": \\\"Max Token Limit\\\"},\\n            \\\"model_name\\\": {\\n                \\\"display_name\\\": \\\"Model Name\\\",\\n                \\\"options\\\": openai_function_models,\\n                \\\"value\\\": openai_function_models[0],\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_name: str,\\n        openai_api_key: str,\\n        tools: List[Tool],\\n        openai_api_base: Optional[str] = None,\\n        memory: Optional[BaseMemory] = None,\\n        system_message: Optional[SystemMessagePromptTemplate] = None,\\n        max_token_limit: int = 2000,\\n    ) -> AgentExecutor:\\n        llm = ChatOpenAI(\\n            model=model_name,\\n            api_key=openai_api_key,\\n            base_url=openai_api_base,\\n        )\\n        if not memory:\\n            memory_key = \\\"chat_history\\\"\\n            memory = ConversationTokenBufferMemory(\\n                memory_key=memory_key,\\n                return_messages=True,\\n                output_key=\\\"output\\\",\\n                llm=llm,\\n                max_token_limit=max_token_limit,\\n            )\\n        else:\\n            memory_key = memory.memory_key  # type: ignore\\n\\n        _system_message = system_message or _get_default_system_message()\\n        prompt = OpenAIFunctionsAgent.create_prompt(\\n            system_message=_system_message,  # type: ignore\\n            extra_prompt_messages=[MessagesPlaceholder(variable_name=memory_key)],\\n        )\\n        agent = OpenAIFunctionsAgent(\\n            llm=llm,\\n            tools=tools,\\n            prompt=prompt,  # type: ignore\\n        )\\n        return AgentExecutor(\\n            agent=agent,\\n            tools=tools,  # type: ignore\\n            memory=memory,\\n            verbose=True,\\n            return_intermediate_steps=True,\\n            handle_parsing_errors=True,\\n        )\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"max_token_limit\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":2000,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"max_token_limit\",\"display_name\":\"Max Token Limit\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\",\"gpt-4\",\"gpt-4-32k\"],\"name\":\"model_name\",\"display_name\":\"Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"openai_api_base\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"openai_api_base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"openai_api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"openai_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Conversational Agent that can use OpenAI's function calling API\",\"base_classes\":[\"AgentExecutor\",\"Chain\"],\"display_name\":\"OpenAI Conversational Agent\",\"documentation\":\"\",\"custom_fields\":{\"max_token_limit\":null,\"memory\":null,\"model_name\":null,\"openai_api_base\":null,\"openai_api_key\":null,\"system_message\":null,\"tools\":null},\"output_types\":[\"OpenAIConversationalAgent\"],\"field_formatters\":{},\"beta\":true}},\"prompts\":{\"ChatMessagePromptTemplate\":{\"template\":{\"additional_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"additional_kwargs\",\"advanced\":true,\"dynamic\":true,\"info\":\"\"},\"prompt\":{\"type\":\"prompt\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"\\nYou are a helpful assistant that talks casually about life in general.\\nYou are a good listener and you can talk about anything.\\n\",\"fileTypes\":[],\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"role\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"role\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"_type\":\"ChatMessagePromptTemplate\"},\"description\":\"Chat message prompt template.\",\"base_classes\":[\"BaseStringMessagePromptTemplate\",\"ChatMessagePromptTemplate\",\"BaseMessagePromptTemplate\"],\"display_name\":\"ChatMessagePromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/msg_prompt_templates\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"ChatPromptTemplate\":{\"template\":{\"messages\":{\"type\":\"BaseMessagePromptTemplate\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"messages\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"output_parser\":{\"type\":\"BaseOutputParser\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"input_types\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"input_variables\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"partial_variables\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"validate_template\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"_type\":\"ChatPromptTemplate\"},\"description\":\"A prompt template for chat models.\",\"base_classes\":[\"BaseChatPromptTemplate\",\"BasePromptTemplate\",\"ChatPromptTemplate\"],\"display_name\":\"ChatPromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/how_to/prompts\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"HumanMessagePromptTemplate\":{\"template\":{\"additional_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"additional_kwargs\",\"advanced\":true,\"dynamic\":true,\"info\":\"\"},\"prompt\":{\"type\":\"prompt\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"\\nYou are a helpful assistant that talks casually about life in general.\\nYou are a good listener and you can talk about anything.\\n\",\"fileTypes\":[],\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"_type\":\"HumanMessagePromptTemplate\"},\"description\":\"Human message prompt template. This is a message sent from the user.\",\"base_classes\":[\"BaseStringMessagePromptTemplate\",\"HumanMessagePromptTemplate\",\"BaseMessagePromptTemplate\"],\"display_name\":\"HumanMessagePromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/how_to/prompts\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"PromptTemplate\":{\"template\":{\"output_parser\":{\"type\":\"BaseOutputParser\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"input_types\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"input_variables\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"partial_variables\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"template\":{\"type\":\"prompt\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"fileTypes\":[],\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"template_format\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"fileTypes\":[],\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"validate_template\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"_type\":\"PromptTemplate\"},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"BasePromptTemplate\",\"PromptTemplate\",\"StringPromptTemplate\"],\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"SystemMessagePromptTemplate\":{\"template\":{\"additional_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"additional_kwargs\",\"advanced\":true,\"dynamic\":true,\"info\":\"\"},\"prompt\":{\"type\":\"prompt\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"\\nYou are a helpful assistant that talks casually about life in general.\\nYou are a good listener and you can talk about anything.\\n\",\"fileTypes\":[],\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"_type\":\"SystemMessagePromptTemplate\"},\"description\":\"System message prompt template.\",\"base_classes\":[\"BaseStringMessagePromptTemplate\",\"SystemMessagePromptTemplate\",\"BaseMessagePromptTemplate\"],\"display_name\":\"SystemMessagePromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/how_to/prompts\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false}},\"llms\":{\"Anthropic\":{\"template\":{\"anthropic_api_key\":{\"type\":\"SecretStr\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"anthropic_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"count_tokens\":{\"type\":\"Callable[[str], int]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"count_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"AI_PROMPT\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"AI_PROMPT\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"HUMAN_PROMPT\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"HUMAN_PROMPT\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"anthropic_api_url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"anthropic_api_url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"async_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"cache\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"default_request_timeout\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"default_request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"max_tokens_to_sample\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":256,\"fileTypes\":[],\"password\":false,\"name\":\"max_tokens_to_sample\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"claude-2\",\"fileTypes\":[],\"password\":false,\"name\":\"model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"streaming\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"top_k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"top_k\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"top_p\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"Anthropic\"},\"description\":\"Anthropic large language models.\",\"base_classes\":[\"LLM\",\"BaseLanguageModel\",\"_AnthropicCommon\",\"BaseLLM\",\"Anthropic\"],\"display_name\":\"Anthropic\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"Cohere\":{\"template\":{\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"async_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"cache\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"cohere_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"cohere_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"frequency_penalty\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":0.0,\"fileTypes\":[],\"password\":false,\"name\":\"frequency_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":0,\"fileTypes\":[],\"password\":false,\"name\":\"k\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"max_retries\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"max_tokens\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":256,\"fileTypes\":[],\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"p\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":1,\"fileTypes\":[],\"password\":false,\"name\":\"p\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"presence_penalty\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":0.0,\"fileTypes\":[],\"password\":false,\"name\":\"presence_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"stop\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"stop\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"streaming\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.75,\"fileTypes\":[],\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"truncate\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"truncate\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"user_agent\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"langchain\",\"fileTypes\":[],\"password\":false,\"name\":\"user_agent\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"Cohere\"},\"description\":\"Cohere large language models.\",\"base_classes\":[\"LLM\",\"BaseLanguageModel\",\"Cohere\",\"BaseLLM\",\"BaseCohere\"],\"display_name\":\"Cohere\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/cohere\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"CTransformers\":{\"template\":{\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"cache\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"config\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{\\n  \\\"top_k\\\": 40,\\n  \\\"top_p\\\": 0.95,\\n  \\\"temperature\\\": 0.8,\\n  \\\"repetition_penalty\\\": 1.1,\\n  \\\"last_n_tokens\\\": 64,\\n  \\\"seed\\\": -1,\\n  \\\"max_new_tokens\\\": 256,\\n  \\\"stop\\\": null,\\n  \\\"stream\\\": false,\\n  \\\"reset\\\": true,\\n  \\\"batch_size\\\": 8,\\n  \\\"threads\\\": -1,\\n  \\\"context_length\\\": -1,\\n  \\\"gpu_layers\\\": 0\\n}\",\"fileTypes\":[],\"password\":false,\"name\":\"config\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"lib\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"lib\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_file\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model_file\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_type\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model_type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CTransformers\"},\"description\":\"C Transformers LLM models.\",\"base_classes\":[\"LLM\",\"BaseLanguageModel\",\"BaseLLM\",\"CTransformers\"],\"display_name\":\"CTransformers\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/ctransformers\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"HuggingFaceHub\":{\"template\":{\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"cache\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"huggingfacehub_api_token\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"huggingfacehub_api_token\",\"display_name\":\"HuggingFace Hub API Token\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"repo_id\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"gpt2\",\"fileTypes\":[],\"password\":false,\"name\":\"repo_id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"task\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"text-generation\",\"fileTypes\":[],\"password\":false,\"options\":[\"text-generation\",\"text2text-generation\",\"summarization\"],\"name\":\"task\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"HuggingFaceHub\"},\"description\":\"HuggingFaceHub  models.\",\"base_classes\":[\"LLM\",\"BaseLanguageModel\",\"HuggingFaceHub\",\"BaseLLM\"],\"display_name\":\"HuggingFaceHub\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/huggingface_hub\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"LlamaCpp\":{\"template\":{\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"grammar\":{\"type\":\"ForwardRef('str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"grammar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"cache\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"cache\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"echo\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"echo\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"f16_kv\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"password\":false,\"name\":\"f16_kv\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"grammar_path\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"grammar_path\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"last_n_tokens_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":64,\"fileTypes\":[],\"password\":false,\"name\":\"last_n_tokens_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"logits_all\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"logits_all\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"logprobs\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"logprobs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"lora_base\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"lora_base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"lora_path\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"lora_path\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"max_tokens\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":256,\"fileTypes\":[],\"password\":true,\"name\":\"max_tokens\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"model_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"model_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"n_batch\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":8,\"fileTypes\":[],\"password\":false,\"name\":\"n_batch\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"n_ctx\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":512,\"fileTypes\":[],\"password\":false,\"name\":\"n_ctx\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"n_gpu_layers\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"n_gpu_layers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"n_parts\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":-1,\"fileTypes\":[],\"password\":false,\"name\":\"n_parts\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"n_threads\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"n_threads\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"repeat_penalty\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1.1,\"fileTypes\":[],\"password\":false,\"name\":\"repeat_penalty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"rope_freq_base\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":10000.0,\"fileTypes\":[],\"password\":false,\"name\":\"rope_freq_base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"rope_freq_scale\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1.0,\"fileTypes\":[],\"password\":false,\"name\":\"rope_freq_scale\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"seed\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":-1,\"fileTypes\":[],\"password\":false,\"name\":\"seed\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"stop\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":[],\"fileTypes\":[],\"password\":false,\"name\":\"stop\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"streaming\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"password\":false,\"name\":\"streaming\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"suffix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"fileTypes\":[],\"password\":false,\"name\":\"suffix\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.8,\"fileTypes\":[],\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"top_k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":40,\"fileTypes\":[],\"password\":false,\"name\":\"top_k\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.95,\"fileTypes\":[],\"password\":false,\"name\":\"top_p\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"use_mlock\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"use_mlock\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"use_mmap\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"password\":false,\"name\":\"use_mmap\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"vocab_only\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"vocab_only\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"LlamaCpp\"},\"description\":\"llama.cpp model.\",\"base_classes\":[\"LLM\",\"BaseLanguageModel\",\"LlamaCpp\",\"BaseLLM\"],\"display_name\":\"LlamaCpp\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/llamacpp\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"OpenAI\":{\"template\":{\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"allowed_special\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"value\":[],\"fileTypes\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"async_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"batch_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":20,\"fileTypes\":[],\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"best_of\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":1,\"fileTypes\":[],\"password\":false,\"name\":\"best_of\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"cache\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"default_headers\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"default_query\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"disallowed_special\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"all\",\"fileTypes\":[],\"password\":false,\"name\":\"disallowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"frequency_penalty\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":0,\"fileTypes\":[],\"password\":false,\"name\":\"frequency_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"http_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"logit_bias\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"logit_bias\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"max_retries\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":2,\"fileTypes\":[],\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"max_tokens\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":256,\"fileTypes\":[],\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"text-davinci-003\",\"fileTypes\":[],\"password\":false,\"options\":[\"text-davinci-003\",\"text-davinci-002\",\"text-curie-001\",\"text-babbage-001\",\"text-ada-001\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"n\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":1,\"fileTypes\":[],\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"openai_api_base\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\"},\"openai_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"openai_organization\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"openai_proxy\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"presence_penalty\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":0,\"fileTypes\":[],\"password\":false,\"name\":\"presence_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"request_timeout\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"streaming\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.7,\"fileTypes\":[],\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"tiktoken_model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":1,\"fileTypes\":[],\"password\":false,\"name\":\"top_p\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"OpenAI\"},\"description\":\"OpenAI large language models.\",\"base_classes\":[\"BaseLanguageModel\",\"OpenAI\",\"BaseOpenAI\",\"BaseLLM\"],\"display_name\":\"OpenAI\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"VertexAI\":{\"template\":{\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"ForwardRef(\\\"'_LanguageModel'\\\")\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client_preview\":{\"type\":\"ForwardRef(\\\"'_LanguageModel'\\\")\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client_preview\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"credentials\":{\"type\":\"file\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".json\"],\"file_path\":\"\",\"password\":false,\"name\":\"credentials\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"cache\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"location\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"us-central1\",\"fileTypes\":[],\"password\":false,\"name\":\"location\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"max_output_tokens\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":128,\"fileTypes\":[],\"password\":false,\"name\":\"max_output_tokens\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"max_retries\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":6,\"fileTypes\":[],\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"text-bison\",\"fileTypes\":[],\"password\":false,\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"n\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1,\"fileTypes\":[],\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"project\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"project\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"request_parallelism\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":5,\"fileTypes\":[],\"password\":false,\"name\":\"request_parallelism\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"stop\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"stop\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"streaming\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.0,\"fileTypes\":[],\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"top_k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":40,\"fileTypes\":[],\"password\":false,\"name\":\"top_k\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.95,\"fileTypes\":[],\"password\":false,\"name\":\"top_p\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"tuned_model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tuned_model_name\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"VertexAI\"},\"description\":\"Google Vertex AI large language models.\",\"base_classes\":[\"BaseLanguageModel\",\"_VertexAIBase\",\"_VertexAICommon\",\"BaseLLM\",\"VertexAI\"],\"display_name\":\"VertexAI\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/google_vertex_ai_palm\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"ChatAnthropic\":{\"template\":{\"anthropic_api_key\":{\"type\":\"SecretStr\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"anthropic_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"count_tokens\":{\"type\":\"Callable[[str], int]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"count_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"AI_PROMPT\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"AI_PROMPT\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"HUMAN_PROMPT\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"HUMAN_PROMPT\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"anthropic_api_url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"anthropic_api_url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"async_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"cache\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"default_request_timeout\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"default_request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"max_tokens_to_sample\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":256,\"fileTypes\":[],\"password\":false,\"name\":\"max_tokens_to_sample\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"claude-2\",\"fileTypes\":[],\"password\":false,\"name\":\"model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"streaming\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"top_k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"top_k\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"top_p\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ChatAnthropic\"},\"description\":\"`Anthropic` chat large language models.\",\"base_classes\":[\"_AnthropicCommon\",\"BaseLanguageModel\",\"BaseChatModel\",\"ChatAnthropic\",\"BaseLLM\"],\"display_name\":\"ChatAnthropic\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/anthropic\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"ChatOpenAI\":{\"template\":{\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"async_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"cache\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"default_headers\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"default_query\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"http_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"max_retries\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":2,\"fileTypes\":[],\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"max_tokens\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"fileTypes\":[],\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4-vision-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"n\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":1,\"fileTypes\":[],\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"openai_api_base\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\"},\"openai_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"openai_organization\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"openai_proxy\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"request_timeout\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"streaming\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.7,\"fileTypes\":[],\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"tiktoken_model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"BaseChatModel\",\"ChatOpenAI\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"ChatVertexAI\":{\"template\":{\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"ForwardRef(\\\"'_LanguageModel'\\\")\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client_preview\":{\"type\":\"ForwardRef(\\\"'_LanguageModel'\\\")\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client_preview\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"credentials\":{\"type\":\"file\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".json\"],\"file_path\":\"\",\"password\":false,\"name\":\"credentials\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"examples\":{\"type\":\"BaseMessage\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":true,\"fileTypes\":[],\"password\":false,\"name\":\"examples\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"cache\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"location\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"us-central1\",\"fileTypes\":[],\"password\":false,\"name\":\"location\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"max_output_tokens\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":128,\"fileTypes\":[],\"password\":false,\"name\":\"max_output_tokens\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"max_retries\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":6,\"fileTypes\":[],\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"chat-bison\",\"fileTypes\":[],\"password\":false,\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"n\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":1,\"fileTypes\":[],\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"project\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"project\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"request_parallelism\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":5,\"fileTypes\":[],\"password\":false,\"name\":\"request_parallelism\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"stop\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"stop\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"streaming\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.0,\"fileTypes\":[],\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"top_k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":40,\"fileTypes\":[],\"password\":false,\"name\":\"top_k\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.95,\"fileTypes\":[],\"password\":false,\"name\":\"top_p\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ChatVertexAI\"},\"description\":\"`Vertex AI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"BaseChatModel\",\"_VertexAIBase\",\"_VertexAICommon\",\"ChatVertexAI\",\"BaseLLM\"],\"display_name\":\"ChatVertexAI\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/google_vertex_ai_palm\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"AmazonBedrock\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.llms.bedrock import Bedrock\\nfrom langchain.llms.base import BaseLLM\\n\\n\\nclass AmazonBedrockComponent(CustomComponent):\\n    display_name: str = \\\"Amazon Bedrock\\\"\\n    description: str = \\\"LLM model from Amazon Bedrock.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\n                    \\\"ai21.j2-grande-instruct\\\",\\n                    \\\"ai21.j2-jumbo-instruct\\\",\\n                    \\\"ai21.j2-mid\\\",\\n                    \\\"ai21.j2-mid-v1\\\",\\n                    \\\"ai21.j2-ultra\\\",\\n                    \\\"ai21.j2-ultra-v1\\\",\\n                    \\\"anthropic.claude-instant-v1\\\",\\n                    \\\"anthropic.claude-v1\\\",\\n                    \\\"anthropic.claude-v2\\\",\\n                    \\\"cohere.command-text-v14\\\",\\n                ],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"streaming\\\": {\\\"display_name\\\": \\\"Streaming\\\", \\\"field_type\\\": \\\"bool\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"anthropic.claude-instant-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n    ) -> BaseLLM:\\n        try:\\n            output = Bedrock(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"credentials_profile_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"anthropic.claude-instant-v1\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"ai21.j2-grande-instruct\",\"ai21.j2-jumbo-instruct\",\"ai21.j2-mid\",\"ai21.j2-mid-v1\",\"ai21.j2-ultra\",\"ai21.j2-ultra-v1\",\"anthropic.claude-instant-v1\",\"anthropic.claude-v1\",\"anthropic.claude-v2\",\"cohere.command-text-v14\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"LLM model from Amazon Bedrock.\",\"base_classes\":[\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"Amazon Bedrock\",\"documentation\":\"\",\"custom_fields\":{\"credentials_profile_name\":null,\"model_id\":null},\"output_types\":[\"AmazonBedrock\"],\"field_formatters\":{},\"beta\":true},\"AnthropicLLM\":{\"template\":{\"anthropic_api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"anthropic_api_key\",\"display_name\":\"Anthropic API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"Your Anthropic API key.\"},\"api_endpoint\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_endpoint\",\"display_name\":\"API Endpoint\",\"advanced\":false,\"dynamic\":false,\"info\":\"Endpoint of the Anthropic API. Defaults to 'https://api.anthropic.com' if not specified.\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.chat_models.anthropic import ChatAnthropic\\nfrom langchain.llms.base import BaseLanguageModel\\nfrom pydantic.v1 import SecretStr\\n\\nfrom langflow import CustomComponent\\n\\n\\nclass AnthropicLLM(CustomComponent):\\n    display_name: str = \\\"AnthropicLLM\\\"\\n    description: str = \\\"Anthropic Chat&Completion large language models.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"model\\\": {\\n                \\\"display_name\\\": \\\"Model Name\\\",\\n                \\\"options\\\": [\\n                    \\\"claude-2.1\\\",\\n                    \\\"claude-2.0\\\",\\n                    \\\"claude-instant-1.2\\\",\\n                    \\\"claude-instant-1\\\",\\n                    # Add more models as needed\\n                ],\\n                \\\"info\\\": \\\"https://python.langchain.com/docs/integrations/chat/anthropic\\\",\\n                \\\"required\\\": True,\\n                \\\"value\\\": \\\"claude-2.1\\\",\\n            },\\n            \\\"anthropic_api_key\\\": {\\n                \\\"display_name\\\": \\\"Anthropic API Key\\\",\\n                \\\"required\\\": True,\\n                \\\"password\\\": True,\\n                \\\"info\\\": \\\"Your Anthropic API key.\\\",\\n            },\\n            \\\"max_tokens\\\": {\\n                \\\"display_name\\\": \\\"Max Tokens\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 256,\\n            },\\n            \\\"temperature\\\": {\\n                \\\"display_name\\\": \\\"Temperature\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"value\\\": 0.7,\\n            },\\n            \\\"api_endpoint\\\": {\\n                \\\"display_name\\\": \\\"API Endpoint\\\",\\n                \\\"info\\\": \\\"Endpoint of the Anthropic API. Defaults to 'https://api.anthropic.com' if not specified.\\\",\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model: str,\\n        anthropic_api_key: Optional[str] = None,\\n        max_tokens: Optional[int] = None,\\n        temperature: Optional[float] = None,\\n        api_endpoint: Optional[str] = None,\\n    ) -> BaseLanguageModel:\\n        # Set default API endpoint if not provided\\n        if not api_endpoint:\\n            api_endpoint = \\\"https://api.anthropic.com\\\"\\n\\n        try:\\n            output = ChatAnthropic(\\n                model_name=model,\\n                anthropic_api_key=SecretStr(anthropic_api_key) if anthropic_api_key else None,\\n                max_tokens_to_sample=max_tokens,  # type: ignore\\n                temperature=temperature,\\n                anthropic_api_url=api_endpoint,\\n            )\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to Anthropic API.\\\") from e\\n        return output\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"max_tokens\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":256,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"max_tokens\",\"display_name\":\"Max Tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"claude-2.1\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"claude-2.1\",\"claude-2.0\",\"claude-instant-1.2\",\"claude-instant-1\"],\"name\":\"model\",\"display_name\":\"Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"https://python.langchain.com/docs/integrations/chat/anthropic\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.7,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"_type\":\"CustomComponent\"},\"description\":\"Anthropic Chat&Completion large language models.\",\"base_classes\":[\"BaseLanguageModel\"],\"display_name\":\"AnthropicLLM\",\"documentation\":\"\",\"custom_fields\":{\"anthropic_api_key\":null,\"api_endpoint\":null,\"max_tokens\":null,\"model\":null,\"temperature\":null},\"output_types\":[\"AnthropicLLM\"],\"field_formatters\":{},\"beta\":true},\"HuggingFaceEndpoints\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.llms.huggingface_endpoint import HuggingFaceEndpoint\\nfrom langchain.llms.base import BaseLLM\\n\\n\\nclass HuggingFaceEndpointsComponent(CustomComponent):\\n    display_name: str = \\\"Hugging Face Inference API\\\"\\n    description: str = \\\"LLM model from Hugging Face Inference API.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Endpoint URL\\\", \\\"password\\\": True},\\n            \\\"task\\\": {\\n                \\\"display_name\\\": \\\"Task\\\",\\n                \\\"options\\\": [\\\"text2text-generation\\\", \\\"text-generation\\\", \\\"summarization\\\"],\\n            },\\n            \\\"huggingfacehub_api_token\\\": {\\\"display_name\\\": \\\"API token\\\", \\\"password\\\": True},\\n            \\\"model_kwargs\\\": {\\n                \\\"display_name\\\": \\\"Model Keyword Arguments\\\",\\n                \\\"field_type\\\": \\\"code\\\",\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        endpoint_url: str,\\n        task: str = \\\"text2text-generation\\\",\\n        huggingfacehub_api_token: Optional[str] = None,\\n        model_kwargs: Optional[dict] = None,\\n    ) -> BaseLLM:\\n        try:\\n            output = HuggingFaceEndpoint(\\n                endpoint_url=endpoint_url,\\n                task=task,\\n                huggingfacehub_api_token=huggingfacehub_api_token,\\n                model_kwargs=model_kwargs,\\n            )\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to HuggingFace Endpoints API.\\\") from e\\n        return output\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"endpoint_url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"endpoint_url\",\"display_name\":\"Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"huggingfacehub_api_token\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"huggingfacehub_api_token\",\"display_name\":\"API token\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_kwargs\":{\"type\":\"code\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"model_kwargs\",\"display_name\":\"Model Keyword Arguments\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"task\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"text2text-generation\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"text2text-generation\",\"text-generation\",\"summarization\"],\"name\":\"task\",\"display_name\":\"Task\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"LLM model from Hugging Face Inference API.\",\"base_classes\":[\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"Hugging Face Inference API\",\"documentation\":\"\",\"custom_fields\":{\"endpoint_url\":null,\"huggingfacehub_api_token\":null,\"model_kwargs\":null,\"task\":null},\"output_types\":[\"HuggingFaceEndpoints\"],\"field_formatters\":{},\"beta\":true},\"BaiduQianfanChatEndpoints\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.chat_models.baidu_qianfan_endpoint import QianfanChatEndpoint\\nfrom langchain.llms.base import BaseLLM\\nfrom pydantic.v1 import SecretStr\\n\\nfrom langflow import CustomComponent\\n\\n\\nclass QianfanChatEndpointComponent(CustomComponent):\\n    display_name: str = \\\"QianfanChatEndpoint\\\"\\n    description: str = (\\n        \\\"Baidu Qianfan chat models. Get more detail from \\\"\\n        \\\"https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint.\\\"\\n    )\\n\\n    def build_config(self):\\n        return {\\n            \\\"model\\\": {\\n                \\\"display_name\\\": \\\"Model Name\\\",\\n                \\\"options\\\": [\\n                    \\\"ERNIE-Bot\\\",\\n                    \\\"ERNIE-Bot-turbo\\\",\\n                    \\\"BLOOMZ-7B\\\",\\n                    \\\"Llama-2-7b-chat\\\",\\n                    \\\"Llama-2-13b-chat\\\",\\n                    \\\"Llama-2-70b-chat\\\",\\n                    \\\"Qianfan-BLOOMZ-7B-compressed\\\",\\n                    \\\"Qianfan-Chinese-Llama-2-7B\\\",\\n                    \\\"ChatGLM2-6B-32K\\\",\\n                    \\\"AquilaChat-7B\\\",\\n                ],\\n                \\\"info\\\": \\\"https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\\\",\\n                \\\"required\\\": True,\\n            },\\n            \\\"qianfan_ak\\\": {\\n                \\\"display_name\\\": \\\"Qianfan Ak\\\",\\n                \\\"required\\\": True,\\n                \\\"password\\\": True,\\n                \\\"info\\\": \\\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\\\",\\n            },\\n            \\\"qianfan_sk\\\": {\\n                \\\"display_name\\\": \\\"Qianfan Sk\\\",\\n                \\\"required\\\": True,\\n                \\\"password\\\": True,\\n                \\\"info\\\": \\\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\\\",\\n            },\\n            \\\"top_p\\\": {\\n                \\\"display_name\\\": \\\"Top p\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n                \\\"value\\\": 0.8,\\n            },\\n            \\\"temperature\\\": {\\n                \\\"display_name\\\": \\\"Temperature\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n                \\\"value\\\": 0.95,\\n            },\\n            \\\"penalty_score\\\": {\\n                \\\"display_name\\\": \\\"Penalty Score\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n                \\\"value\\\": 1.0,\\n            },\\n            \\\"endpoint\\\": {\\n                \\\"display_name\\\": \\\"Endpoint\\\",\\n                \\\"info\\\": \\\"Endpoint of the Qianfan LLM, required if custom model used.\\\",\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model: str = \\\"ERNIE-Bot-turbo\\\",\\n        qianfan_ak: Optional[str] = None,\\n        qianfan_sk: Optional[str] = None,\\n        top_p: Optional[float] = None,\\n        temperature: Optional[float] = None,\\n        penalty_score: Optional[float] = None,\\n        endpoint: Optional[str] = None,\\n    ) -> BaseLLM:\\n        try:\\n            output = QianfanChatEndpoint(  # type: ignore\\n                model=model,\\n                qianfan_ak=SecretStr(qianfan_ak) if qianfan_ak else None,\\n                qianfan_sk=SecretStr(qianfan_sk) if qianfan_sk else None,\\n                top_p=top_p,\\n                temperature=temperature,\\n                penalty_score=penalty_score,\\n                endpoint=endpoint,\\n            )\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to Baidu Qianfan API.\\\") from e\\n        return output  # type: ignore\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"endpoint\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"endpoint\",\"display_name\":\"Endpoint\",\"advanced\":false,\"dynamic\":false,\"info\":\"Endpoint of the Qianfan LLM, required if custom model used.\"},\"model\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"ERNIE-Bot-turbo\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"ERNIE-Bot\",\"ERNIE-Bot-turbo\",\"BLOOMZ-7B\",\"Llama-2-7b-chat\",\"Llama-2-13b-chat\",\"Llama-2-70b-chat\",\"Qianfan-BLOOMZ-7B-compressed\",\"Qianfan-Chinese-Llama-2-7B\",\"ChatGLM2-6B-32K\",\"AquilaChat-7B\"],\"name\":\"model\",\"display_name\":\"Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\"},\"penalty_score\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":1.0,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"penalty_score\",\"display_name\":\"Penalty Score\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"qianfan_ak\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"qianfan_ak\",\"display_name\":\"Qianfan Ak\",\"advanced\":false,\"dynamic\":false,\"info\":\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\"},\"qianfan_sk\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"qianfan_sk\",\"display_name\":\"Qianfan Sk\",\"advanced\":false,\"dynamic\":false,\"info\":\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.95,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":0.8,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_p\",\"display_name\":\"Top p\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"_type\":\"CustomComponent\"},\"description\":\"Baidu Qianfan chat models. Get more detail from https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint.\",\"base_classes\":[\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"QianfanChatEndpoint\",\"documentation\":\"\",\"custom_fields\":{\"endpoint\":null,\"model\":null,\"penalty_score\":null,\"qianfan_ak\":null,\"qianfan_sk\":null,\"temperature\":null,\"top_p\":null},\"output_types\":[\"BaiduQianfanChatEndpoints\"],\"field_formatters\":{},\"beta\":true},\"BaiduQianfanLLMEndpoints\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.llms.baidu_qianfan_endpoint import QianfanLLMEndpoint\\nfrom langchain.llms.base import BaseLLM\\n\\n\\nclass QianfanLLMEndpointComponent(CustomComponent):\\n    display_name: str = \\\"QianfanLLMEndpoint\\\"\\n    description: str = (\\n        \\\"Baidu Qianfan hosted open source or customized models. \\\"\\n        \\\"Get more detail from https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\\\"\\n    )\\n\\n    def build_config(self):\\n        return {\\n            \\\"model\\\": {\\n                \\\"display_name\\\": \\\"Model Name\\\",\\n                \\\"options\\\": [\\n                    \\\"ERNIE-Bot\\\",\\n                    \\\"ERNIE-Bot-turbo\\\",\\n                    \\\"BLOOMZ-7B\\\",\\n                    \\\"Llama-2-7b-chat\\\",\\n                    \\\"Llama-2-13b-chat\\\",\\n                    \\\"Llama-2-70b-chat\\\",\\n                    \\\"Qianfan-BLOOMZ-7B-compressed\\\",\\n                    \\\"Qianfan-Chinese-Llama-2-7B\\\",\\n                    \\\"ChatGLM2-6B-32K\\\",\\n                    \\\"AquilaChat-7B\\\",\\n                ],\\n                \\\"info\\\": \\\"https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\\\",\\n                \\\"required\\\": True,\\n            },\\n            \\\"qianfan_ak\\\": {\\n                \\\"display_name\\\": \\\"Qianfan Ak\\\",\\n                \\\"required\\\": True,\\n                \\\"password\\\": True,\\n                \\\"info\\\": \\\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\\\",\\n            },\\n            \\\"qianfan_sk\\\": {\\n                \\\"display_name\\\": \\\"Qianfan Sk\\\",\\n                \\\"required\\\": True,\\n                \\\"password\\\": True,\\n                \\\"info\\\": \\\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\\\",\\n            },\\n            \\\"top_p\\\": {\\n                \\\"display_name\\\": \\\"Top p\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n                \\\"value\\\": 0.8,\\n            },\\n            \\\"temperature\\\": {\\n                \\\"display_name\\\": \\\"Temperature\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n                \\\"value\\\": 0.95,\\n            },\\n            \\\"penalty_score\\\": {\\n                \\\"display_name\\\": \\\"Penalty Score\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n                \\\"value\\\": 1.0,\\n            },\\n            \\\"endpoint\\\": {\\n                \\\"display_name\\\": \\\"Endpoint\\\",\\n                \\\"info\\\": \\\"Endpoint of the Qianfan LLM, required if custom model used.\\\",\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model: str = \\\"ERNIE-Bot-turbo\\\",\\n        qianfan_ak: Optional[str] = None,\\n        qianfan_sk: Optional[str] = None,\\n        top_p: Optional[float] = None,\\n        temperature: Optional[float] = None,\\n        penalty_score: Optional[float] = None,\\n        endpoint: Optional[str] = None,\\n    ) -> BaseLLM:\\n        try:\\n            output = QianfanLLMEndpoint(  # type: ignore\\n                model=model,\\n                qianfan_ak=qianfan_ak,\\n                qianfan_sk=qianfan_sk,\\n                top_p=top_p,\\n                temperature=temperature,\\n                penalty_score=penalty_score,\\n                endpoint=endpoint,\\n            )\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to Baidu Qianfan API.\\\") from e\\n        return output  # type: ignore\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"endpoint\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"endpoint\",\"display_name\":\"Endpoint\",\"advanced\":false,\"dynamic\":false,\"info\":\"Endpoint of the Qianfan LLM, required if custom model used.\"},\"model\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"ERNIE-Bot-turbo\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"ERNIE-Bot\",\"ERNIE-Bot-turbo\",\"BLOOMZ-7B\",\"Llama-2-7b-chat\",\"Llama-2-13b-chat\",\"Llama-2-70b-chat\",\"Qianfan-BLOOMZ-7B-compressed\",\"Qianfan-Chinese-Llama-2-7B\",\"ChatGLM2-6B-32K\",\"AquilaChat-7B\"],\"name\":\"model\",\"display_name\":\"Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\"},\"penalty_score\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":1.0,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"penalty_score\",\"display_name\":\"Penalty Score\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"qianfan_ak\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"qianfan_ak\",\"display_name\":\"Qianfan Ak\",\"advanced\":false,\"dynamic\":false,\"info\":\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\"},\"qianfan_sk\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"qianfan_sk\",\"display_name\":\"Qianfan Sk\",\"advanced\":false,\"dynamic\":false,\"info\":\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.95,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":0.8,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_p\",\"display_name\":\"Top p\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"_type\":\"CustomComponent\"},\"description\":\"Baidu Qianfan hosted open source or customized models. Get more detail from https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\",\"base_classes\":[\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"QianfanLLMEndpoint\",\"documentation\":\"\",\"custom_fields\":{\"endpoint\":null,\"model\":null,\"penalty_score\":null,\"qianfan_ak\":null,\"qianfan_sk\":null,\"temperature\":null,\"top_p\":null},\"output_types\":[\"BaiduQianfanLLMEndpoints\"],\"field_formatters\":{},\"beta\":true}},\"memories\":{\"ConversationBufferMemory\":{\"template\":{\"chat_memory\":{\"type\":\"BaseChatMessageHistory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"ai_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"AI\",\"fileTypes\":[],\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"human_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"Human\",\"fileTypes\":[],\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\"},\"memory_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"fileTypes\":[],\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"output_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\"},\"return_messages\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ConversationBufferMemory\"},\"description\":\"Buffer for storing conversation memory.\",\"base_classes\":[\"BaseChatMemory\",\"BaseMemory\",\"ConversationBufferMemory\"],\"display_name\":\"ConversationBufferMemory\",\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/buffer\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"ConversationBufferWindowMemory\":{\"template\":{\"chat_memory\":{\"type\":\"BaseChatMessageHistory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"ai_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"AI\",\"fileTypes\":[],\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"human_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"Human\",\"fileTypes\":[],\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\"},\"k\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"password\":false,\"name\":\"k\",\"display_name\":\"Memory Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"fileTypes\":[],\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"output_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\"},\"return_messages\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ConversationBufferWindowMemory\"},\"description\":\"Buffer for storing conversation memory inside a limited size window.\",\"base_classes\":[\"BaseChatMemory\",\"ConversationBufferWindowMemory\",\"BaseMemory\"],\"display_name\":\"ConversationBufferWindowMemory\",\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/buffer_window\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"ConversationEntityMemory\":{\"template\":{\"chat_memory\":{\"type\":\"BaseChatMessageHistory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"entity_extraction_prompt\":{\"type\":\"BasePromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"entity_extraction_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"entity_store\":{\"type\":\"BaseEntityStore\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"entity_store\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"entity_summarization_prompt\":{\"type\":\"BasePromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"entity_summarization_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"ai_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"AI\",\"fileTypes\":[],\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"chat_history_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"history\",\"fileTypes\":[],\"password\":false,\"name\":\"chat_history_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"entity_cache\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"entity_cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"human_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"Human\",\"fileTypes\":[],\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\"},\"k\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"password\":false,\"name\":\"k\",\"display_name\":\"Memory Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"output_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\"},\"return_messages\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ConversationEntityMemory\"},\"description\":\"Entity extractor & summarizer memory.\",\"base_classes\":[\"BaseChatMemory\",\"BaseMemory\",\"ConversationEntityMemory\"],\"display_name\":\"ConversationEntityMemory\",\"documentation\":\"https://python.langchain.com/docs/modules/memory/integrations/entity_memory_with_sqlite\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"ConversationKGMemory\":{\"template\":{\"chat_memory\":{\"type\":\"BaseChatMessageHistory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"entity_extraction_prompt\":{\"type\":\"BasePromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"entity_extraction_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"kg\":{\"type\":\"NetworkxEntityGraph\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"kg\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"knowledge_extraction_prompt\":{\"type\":\"BasePromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"knowledge_extraction_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"summary_message_cls\":{\"type\":\"Type[langchain_core.messages.base.BaseMessage]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"summary_message_cls\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"ai_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"AI\",\"fileTypes\":[],\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"human_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"Human\",\"fileTypes\":[],\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\"},\"k\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"password\":false,\"name\":\"k\",\"display_name\":\"Memory Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"fileTypes\":[],\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"output_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\"},\"return_messages\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ConversationKGMemory\"},\"description\":\"Knowledge graph conversation memory.\",\"base_classes\":[\"BaseChatMemory\",\"ConversationKGMemory\",\"BaseMemory\"],\"display_name\":\"ConversationKGMemory\",\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/kg\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"ConversationSummaryMemory\":{\"template\":{\"chat_memory\":{\"type\":\"BaseChatMessageHistory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"prompt\":{\"type\":\"BasePromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"summary_message_cls\":{\"type\":\"Type[langchain_core.messages.base.BaseMessage]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"summary_message_cls\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"ai_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"AI\",\"fileTypes\":[],\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"buffer\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"password\":false,\"name\":\"buffer\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"human_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"Human\",\"fileTypes\":[],\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\"},\"memory_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"fileTypes\":[],\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"output_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\"},\"return_messages\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ConversationSummaryMemory\"},\"description\":\"Conversation summarizer to chat memory.\",\"base_classes\":[\"BaseChatMemory\",\"ConversationSummaryMemory\",\"BaseMemory\",\"SummarizerMixin\"],\"display_name\":\"ConversationSummaryMemory\",\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/summary\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"MongoDBChatMessageHistory\":{\"template\":{\"collection_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"message_store\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"collection_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"connection_string\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"connection_string\",\"advanced\":false,\"dynamic\":false,\"info\":\"MongoDB connection string (e.g mongodb://mongo_user:password123@mongo:27017)\"},\"database_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"database_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"session_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"session_id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"MongoDBChatMessageHistory\"},\"description\":\"Memory store with MongoDB\",\"base_classes\":[\"MongoDBChatMessageHistory\",\"BaseChatMessageHistory\"],\"display_name\":\"MongoDBChatMessageHistory\",\"documentation\":\"https://python.langchain.com/docs/modules/memory/integrations/mongodb_chat_message_history\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"MotorheadMemory\":{\"template\":{\"chat_memory\":{\"type\":\"BaseChatMessageHistory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client_id\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client_id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"context\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"context\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\"},\"memory_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"fileTypes\":[],\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"output_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\"},\"return_messages\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"session_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"session_id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"timeout\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"https://api.getmetal.io/v1/motorhead\",\"fileTypes\":[],\"password\":false,\"name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"MotorheadMemory\"},\"description\":\"Chat message memory backed by Motorhead service.\",\"base_classes\":[\"BaseChatMemory\",\"MotorheadMemory\",\"BaseMemory\"],\"display_name\":\"MotorheadMemory\",\"documentation\":\"https://python.langchain.com/docs/integrations/memory/motorhead_memory\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"PostgresChatMessageHistory\":{\"template\":{\"connection_string\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"postgresql://postgres:mypassword@localhost/chat_history\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"connection_string\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"session_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"session_id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"table_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"message_store\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"table_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"PostgresChatMessageHistory\"},\"description\":\"Memory store with Postgres\",\"base_classes\":[\"PostgresChatMessageHistory\",\"BaseChatMessageHistory\"],\"display_name\":\"PostgresChatMessageHistory\",\"documentation\":\"https://python.langchain.com/docs/modules/memory/integrations/postgres_chat_message_history\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"VectorStoreRetrieverMemory\":{\"template\":{\"retriever\":{\"type\":\"VectorStoreRetriever\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"exclude_input_keys\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"exclude_input_keys\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\"},\"memory_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"fileTypes\":[],\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"return_docs\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"return_docs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"return_messages\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"VectorStoreRetrieverMemory\"},\"description\":\"VectorStoreRetriever-backed memory.\",\"base_classes\":[\"BaseMemory\",\"VectorStoreRetrieverMemory\"],\"display_name\":\"VectorStoreRetrieverMemory\",\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/vectorstore_retriever_memory\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false}},\"tools\":{\"Calculator\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"Calculator\"},\"description\":\"Useful for when you need to answer questions about math.\",\"base_classes\":[\"Tool\",\"BaseTool\"],\"display_name\":\"Calculator\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"Search\":{\"template\":{\"aiosession\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"aiosession\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"serpapi_api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"serpapi_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"Search\"},\"description\":\"A search engine. Useful for when you need to answer questions about current events. Input should be a search query.\",\"base_classes\":[\"Tool\",\"BaseTool\"],\"display_name\":\"Search\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"Tool\":{\"template\":{\"func\":{\"type\":\"Callable\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"func\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"description\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"description\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"return_direct\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_direct\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"Tool\"},\"description\":\"Converts a chain, agent or function into a tool.\",\"base_classes\":[\"Tool\",\"BaseTool\"],\"display_name\":\"Tool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"PythonFunctionTool\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"\\ndef python_function(text: str) -> str:\\n    \\\"\\\"\\\"This is a default python function that returns the input text\\\"\\\"\\\"\\n    return text\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"description\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"description\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"return_direct\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_direct\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"PythonFunctionTool\"},\"description\":\"Python function to be executed.\",\"base_classes\":[\"BaseTool\",\"Tool\"],\"display_name\":\"PythonFunctionTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"PythonFunction\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"\\ndef python_function(text: str) -> str:\\n    \\\"\\\"\\\"This is a default python function that returns the input text\\\"\\\"\\\"\\n    return text\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"PythonFunction\"},\"description\":\"Python function to be executed.\",\"base_classes\":[\"Callable\"],\"display_name\":\"PythonFunction\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"JsonSpec\":{\"template\":{\"path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".json\",\".yaml\",\".yml\"],\"file_path\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"max_value_length\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"max_value_length\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"JsonSpec\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"JsonSpec\"],\"display_name\":\"JsonSpec\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"BingSearchRun\":{\"template\":{\"api_wrapper\":{\"type\":\"BingSearchAPIWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"BingSearchRun\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"BaseTool\",\"BingSearchRun\"],\"display_name\":\"BingSearchRun\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"GoogleSearchResults\":{\"template\":{\"api_wrapper\":{\"type\":\"GoogleSearchAPIWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"num_results\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":4,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"num_results\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"GoogleSearchResults\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"GoogleSearchResults\",\"BaseTool\"],\"display_name\":\"GoogleSearchResults\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"GoogleSearchRun\":{\"template\":{\"api_wrapper\":{\"type\":\"GoogleSearchAPIWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"GoogleSearchRun\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"BaseTool\",\"GoogleSearchRun\"],\"display_name\":\"GoogleSearchRun\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"GoogleSerperRun\":{\"template\":{\"api_wrapper\":{\"type\":\"GoogleSerperAPIWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"GoogleSerperRun\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"BaseTool\",\"GoogleSerperRun\"],\"display_name\":\"GoogleSerperRun\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"InfoSQLDatabaseTool\":{\"template\":{\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"db\":{\"type\":\"SQLDatabase\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"db\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"InfoSQLDatabaseTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"BaseSQLDatabaseTool\",\"BaseTool\",\"InfoSQLDatabaseTool\"],\"display_name\":\"InfoSQLDatabaseTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"JsonGetValueTool\":{\"template\":{\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"spec\":{\"type\":\"JsonSpec\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"spec\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"JsonGetValueTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"BaseTool\",\"JsonGetValueTool\"],\"display_name\":\"JsonGetValueTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"JsonListKeysTool\":{\"template\":{\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"spec\":{\"type\":\"JsonSpec\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"spec\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"JsonListKeysTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"JsonListKeysTool\",\"BaseTool\"],\"display_name\":\"JsonListKeysTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"ListSQLDatabaseTool\":{\"template\":{\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"db\":{\"type\":\"SQLDatabase\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"db\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ListSQLDatabaseTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"BaseSQLDatabaseTool\",\"ListSQLDatabaseTool\",\"BaseTool\"],\"display_name\":\"ListSQLDatabaseTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"QuerySQLDataBaseTool\":{\"template\":{\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"db\":{\"type\":\"SQLDatabase\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"db\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"QuerySQLDataBaseTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"BaseSQLDatabaseTool\",\"BaseTool\",\"QuerySQLDataBaseTool\"],\"display_name\":\"QuerySQLDataBaseTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"RequestsDeleteTool\":{\"template\":{\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"requests_wrapper\":{\"type\":\"TextRequestsWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"requests_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"RequestsDeleteTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"RequestsDeleteTool\",\"BaseRequestsTool\",\"BaseTool\"],\"display_name\":\"RequestsDeleteTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"RequestsGetTool\":{\"template\":{\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"requests_wrapper\":{\"type\":\"TextRequestsWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"requests_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"RequestsGetTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"RequestsGetTool\",\"BaseRequestsTool\",\"BaseTool\"],\"display_name\":\"RequestsGetTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"RequestsPatchTool\":{\"template\":{\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"requests_wrapper\":{\"type\":\"TextRequestsWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"requests_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"RequestsPatchTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"RequestsPatchTool\",\"BaseRequestsTool\",\"BaseTool\"],\"display_name\":\"RequestsPatchTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"RequestsPostTool\":{\"template\":{\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"requests_wrapper\":{\"type\":\"TextRequestsWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"requests_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"RequestsPostTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"RequestsPostTool\",\"BaseRequestsTool\",\"BaseTool\"],\"display_name\":\"RequestsPostTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"RequestsPutTool\":{\"template\":{\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"requests_wrapper\":{\"type\":\"TextRequestsWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"requests_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"RequestsPutTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"BaseRequestsTool\",\"BaseTool\",\"RequestsPutTool\"],\"display_name\":\"RequestsPutTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"WikipediaQueryRun\":{\"template\":{\"api_wrapper\":{\"type\":\"WikipediaAPIWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"WikipediaQueryRun\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"WikipediaQueryRun\",\"BaseTool\"],\"display_name\":\"WikipediaQueryRun\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"WolframAlphaQueryRun\":{\"template\":{\"api_wrapper\":{\"type\":\"WolframAlphaAPIWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"WolframAlphaQueryRun\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"BaseTool\",\"WolframAlphaQueryRun\"],\"display_name\":\"WolframAlphaQueryRun\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false}},\"toolkits\":{\"JsonToolkit\":{\"template\":{\"spec\":{\"type\":\"JsonSpec\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"spec\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"JsonToolkit\"},\"description\":\"Toolkit for interacting with a JSON spec.\",\"base_classes\":[\"JsonToolkit\",\"BaseToolkit\",\"Tool\"],\"display_name\":\"JsonToolkit\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"OpenAPIToolkit\":{\"template\":{\"json_agent\":{\"type\":\"AgentExecutor\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"json_agent\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"requests_wrapper\":{\"type\":\"TextRequestsWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"requests_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"OpenAPIToolkit\"},\"description\":\"Toolkit for interacting with an OpenAPI API.\",\"base_classes\":[\"OpenAPIToolkit\",\"BaseToolkit\",\"Tool\"],\"display_name\":\"OpenAPIToolkit\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"VectorStoreInfo\":{\"template\":{\"vectorstore\":{\"type\":\"VectorStore\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"vectorstore\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"description\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"fileTypes\":[],\"password\":false,\"name\":\"description\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"VectorStoreInfo\"},\"description\":\"Information about a VectorStore.\",\"base_classes\":[\"VectorStoreInfo\"],\"display_name\":\"VectorStoreInfo\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"VectorStoreRouterToolkit\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"vectorstores\":{\"type\":\"VectorStoreInfo\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"vectorstores\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"VectorStoreRouterToolkit\"},\"description\":\"Toolkit for routing between Vector Stores.\",\"base_classes\":[\"VectorStoreRouterToolkit\",\"BaseToolkit\",\"Tool\"],\"display_name\":\"VectorStoreRouterToolkit\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"VectorStoreToolkit\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"vectorstore_info\":{\"type\":\"VectorStoreInfo\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"vectorstore_info\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"VectorStoreToolkit\"},\"description\":\"Toolkit for interacting with a Vector Store.\",\"base_classes\":[\"VectorStoreToolkit\",\"BaseToolkit\",\"Tool\"],\"display_name\":\"VectorStoreToolkit\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"Metaphor\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import List, Union\\n\\nfrom langchain.agents import tool\\nfrom langchain.agents.agent_toolkits.base import BaseToolkit\\nfrom langchain.tools import Tool\\nfrom metaphor_python import Metaphor  # type: ignore\\n\\nfrom langflow import CustomComponent\\n\\n\\nclass MetaphorToolkit(CustomComponent):\\n    display_name: str = \\\"Metaphor\\\"\\n    description: str = \\\"Metaphor Toolkit\\\"\\n    documentation = \\\"https://python.langchain.com/docs/integrations/tools/metaphor_search\\\"\\n    beta: bool = True\\n    # api key should be password = True\\n    field_config = {\\n        \\\"metaphor_api_key\\\": {\\\"display_name\\\": \\\"Metaphor API Key\\\", \\\"password\\\": True},\\n        \\\"code\\\": {\\\"advanced\\\": True},\\n    }\\n\\n    def build(\\n        self,\\n        metaphor_api_key: str,\\n        use_autoprompt: bool = True,\\n        search_num_results: int = 5,\\n        similar_num_results: int = 5,\\n    ) -> Union[Tool, BaseToolkit]:\\n        # If documents, then we need to create a Vectara instance using .from_documents\\n        client = Metaphor(api_key=metaphor_api_key)\\n\\n        @tool\\n        def search(query: str):\\n            \\\"\\\"\\\"Call search engine with a query.\\\"\\\"\\\"\\n            return client.search(query, use_autoprompt=use_autoprompt, num_results=search_num_results)\\n\\n        @tool\\n        def get_contents(ids: List[str]):\\n            \\\"\\\"\\\"Get contents of a webpage.\\n\\n            The ids passed in should be a list of ids as fetched from `search`.\\n            \\\"\\\"\\\"\\n            return client.get_contents(ids)\\n\\n        @tool\\n        def find_similar(url: str):\\n            \\\"\\\"\\\"Get search results similar to a given URL.\\n\\n            The url passed in should be a URL returned from `search`\\n            \\\"\\\"\\\"\\n            return client.find_similar(url, num_results=similar_num_results)\\n\\n        return [search, get_contents, find_similar]  # type: ignore\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":true,\"dynamic\":true,\"info\":\"\"},\"metaphor_api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"metaphor_api_key\",\"display_name\":\"Metaphor API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_num_results\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":5,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"search_num_results\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"similar_num_results\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":5,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"similar_num_results\",\"display_name\":\"similar_num_results\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"use_autoprompt\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"use_autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Metaphor Toolkit\",\"base_classes\":[\"Tool\",\"BaseTool\",\"BaseToolkit\"],\"display_name\":\"Metaphor\",\"documentation\":\"https://python.langchain.com/docs/integrations/tools/metaphor_search\",\"custom_fields\":{\"metaphor_api_key\":null,\"search_num_results\":null,\"similar_num_results\":null,\"use_autoprompt\":null},\"output_types\":[\"Metaphor\"],\"field_formatters\":{},\"beta\":true}},\"wrappers\":{\"TextRequestsWrapper\":{\"template\":{\"aiosession\":{\"type\":\"ClientSession\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"aiosession\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"auth\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"auth\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"headers\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"fileTypes\":[],\"password\":false,\"name\":\"headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"TextRequestsWrapper\"},\"description\":\"Lightweight wrapper around requests library.\",\"base_classes\":[\"TextRequestsWrapper\"],\"display_name\":\"TextRequestsWrapper\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"SQLDatabase\":{\"template\":{\"database_uri\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"database_uri\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"engine_args\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"engine_args\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"SQLDatabase\"},\"description\":\"Construct a SQLAlchemy engine from URI.\",\"base_classes\":[\"SQLDatabase\",\"Callable\"],\"display_name\":\"SQLDatabase\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false}},\"embeddings\":{\"OpenAIEmbeddings\":{\"template\":{\"allowed_special\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":[],\"fileTypes\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"async_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"async_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"chunk_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1000,\"fileTypes\":[],\"password\":false,\"name\":\"chunk_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"default_headers\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"default_headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"default_query\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"default_query\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"deployment\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"fileTypes\":[],\"password\":false,\"name\":\"deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"disallowed_special\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"all\",\"fileTypes\":[],\"password\":false,\"name\":\"disallowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"embedding_ctx_length\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":8191,\"fileTypes\":[],\"password\":false,\"name\":\"embedding_ctx_length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"headers\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"fileTypes\":[],\"password\":false,\"name\":\"headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"http_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"http_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"max_retries\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":2,\"fileTypes\":[],\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"model\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"fileTypes\":[],\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"model_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"openai_api_base\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"openai_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"openai_api_type\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"openai_api_version\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"openai_organization\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"openai_proxy\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"request_timeout\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"retry_max_seconds\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":20,\"fileTypes\":[],\"password\":false,\"name\":\"retry_max_seconds\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"retry_min_seconds\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":4,\"fileTypes\":[],\"password\":false,\"name\":\"retry_min_seconds\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"show_progress_bar\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"show_progress_bar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"skip_empty\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"skip_empty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"tiktoken_enabled\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"password\":true,\"name\":\"tiktoken_enabled\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tiktoken_model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"OpenAIEmbeddings\"},\"description\":\"OpenAI embedding models.\",\"base_classes\":[\"OpenAIEmbeddings\",\"Embeddings\"],\"display_name\":\"OpenAIEmbeddings\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"CohereEmbeddings\":{\"template\":{\"async_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"async_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"cohere_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"cohere_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"max_retries\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"model\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"embed-english-v2.0\",\"fileTypes\":[],\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"request_timeout\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"truncate\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"truncate\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"user_agent\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"langchain\",\"fileTypes\":[],\"password\":false,\"name\":\"user_agent\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CohereEmbeddings\"},\"description\":\"Cohere embedding models.\",\"base_classes\":[\"Embeddings\",\"CohereEmbeddings\"],\"display_name\":\"CohereEmbeddings\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/cohere\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"HuggingFaceEmbeddings\":{\"template\":{\"cache_folder\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"cache_folder\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"encode_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"encode_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"model_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"sentence-transformers/all-mpnet-base-v2\",\"fileTypes\":[],\"password\":false,\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"multi_process\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"multi_process\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"HuggingFaceEmbeddings\"},\"description\":\"HuggingFace sentence_transformers embedding models.\",\"base_classes\":[\"Embeddings\",\"HuggingFaceEmbeddings\"],\"display_name\":\"HuggingFaceEmbeddings\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/sentence_transformers\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"VertexAIEmbeddings\":{\"template\":{\"client\":{\"type\":\"ForwardRef(\\\"'_LanguageModel'\\\")\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"client_preview\":{\"type\":\"ForwardRef(\\\"'_LanguageModel'\\\")\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client_preview\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"credentials\":{\"type\":\"file\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".json\"],\"file_path\":\"\",\"password\":false,\"name\":\"credentials\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"location\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"us-central1\",\"fileTypes\":[],\"password\":false,\"name\":\"location\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"max_output_tokens\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":128,\"fileTypes\":[],\"password\":true,\"name\":\"max_output_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"max_retries\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":6,\"fileTypes\":[],\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"textembedding-gecko\",\"fileTypes\":[],\"password\":false,\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"n\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1,\"fileTypes\":[],\"password\":false,\"name\":\"n\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"project\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"project\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"request_parallelism\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":5,\"fileTypes\":[],\"password\":false,\"name\":\"request_parallelism\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"stop\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"stop\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"streaming\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"streaming\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.0,\"fileTypes\":[],\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"top_k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":40,\"fileTypes\":[],\"password\":false,\"name\":\"top_k\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.95,\"fileTypes\":[],\"password\":false,\"name\":\"top_p\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"_type\":\"VertexAIEmbeddings\"},\"description\":\"Google Cloud VertexAI embedding models.\",\"base_classes\":[\"_VertexAIBase\",\"_VertexAICommon\",\"Embeddings\",\"VertexAIEmbeddings\"],\"display_name\":\"VertexAIEmbeddings\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/google_vertex_ai_palm\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"AmazonBedrockEmbeddings\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"credentials_profile_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"endpoint_url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"region_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"field_formatters\":{},\"beta\":true}},\"vectorstores\":{\"FAISS\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"folder_path\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"folder_path\",\"display_name\":\"Local Path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"ids\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"ids\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"index_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"index_name\",\"display_name\":\"Index Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadatas\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_kwargs\":{\"type\":\"NestedDict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"FAISS\"},\"description\":\"Construct FAISS wrapper from raw documents.\",\"base_classes\":[\"VectorStore\",\"FAISS\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"FAISS\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/faiss\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"MongoDBAtlasVectorSearch\":{\"template\":{\"collection\":{\"type\":\"Collection[MongoDBDocumentType]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"collection\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"collection_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"collection_name\",\"display_name\":\"Collection Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"db_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"db_name\",\"display_name\":\"Database Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"index_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"index_name\",\"display_name\":\"Index Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadatas\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"mongodb_atlas_cluster_uri\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"mongodb_atlas_cluster_uri\",\"display_name\":\"MongoDB Atlas Cluster URI\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_kwargs\":{\"type\":\"NestedDict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"MongoDBAtlasVectorSearch\"},\"description\":\"Construct a `MongoDB Atlas Vector Search` vector store from raw documents.\",\"base_classes\":[\"VectorStore\",\"MongoDBAtlasVectorSearch\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"MongoDB Atlas\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/mongodb_atlas\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"Pinecone\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1000,\"fileTypes\":[],\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"batch_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":32,\"fileTypes\":[],\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"ids\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"ids\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"index_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"index_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadatas\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"namespace\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"namespace\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"pinecone_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"pinecone_api_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"pinecone_env\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"pinecone_env\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"pool_threads\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":4,\"fileTypes\":[],\"password\":false,\"name\":\"pool_threads\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_kwargs\":{\"type\":\"NestedDict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"text_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"text\",\"fileTypes\":[],\"password\":true,\"name\":\"text_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"upsert_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"upsert_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"Pinecone\"},\"description\":\"Construct Pinecone wrapper from raw documents.\",\"base_classes\":[\"VectorStore\",\"Pinecone\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"Pinecone\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/pinecone\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"Qdrant\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"hnsw_config\":{\"type\":\"common_types.HnswConfigDiff\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"hnsw_config\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"init_from\":{\"type\":\"common_types.InitFrom\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"init_from\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"optimizers_config\":{\"type\":\"common_types.OptimizersConfigDiff\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"optimizers_config\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"quantization_config\":{\"type\":\"common_types.QuantizationConfig\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"quantization_config\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"wal_config\":{\"type\":\"common_types.WalConfigDiff\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"wal_config\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"api_key\",\"display_name\":\"API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"batch_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":64,\"fileTypes\":[],\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"collection_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"collection_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"content_payload_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"page_content\",\"fileTypes\":[],\"password\":false,\"name\":\"content_payload_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"distance_func\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"Cosine\",\"fileTypes\":[],\"password\":false,\"name\":\"distance_func\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"force_recreate\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"force_recreate\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"grpc_port\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":6334,\"fileTypes\":[],\"password\":false,\"name\":\"grpc_port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"host\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"host\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"https\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"https\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"ids\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"ids\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"location\":{\"type\":\"str\",\"required\":false,\"placeholder\":\":memory:\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\":memory:\",\"fileTypes\":[],\"password\":false,\"name\":\"location\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata_payload_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"metadata\",\"fileTypes\":[],\"password\":false,\"name\":\"metadata_payload_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"metadatas\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"on_disk\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"on_disk\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"on_disk_payload\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"on_disk_payload\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"path\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"path\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"port\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":6333,\"fileTypes\":[],\"password\":false,\"name\":\"port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"prefer_grpc\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"prefer_grpc\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"fileTypes\":[],\"password\":false,\"name\":\"prefix\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"replication_factor\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"replication_factor\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_kwargs\":{\"type\":\"NestedDict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"shard_number\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"shard_number\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"timeout\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"url\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"vector_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"vector_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"write_consistency_factor\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"write_consistency_factor\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"Qdrant\"},\"description\":\"Construct Qdrant wrapper from a list of texts.\",\"base_classes\":[\"VectorStore\",\"Qdrant\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"Qdrant\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/qdrant\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"SupabaseVectorStore\":{\"template\":{\"client\":{\"type\":\"supabase.client.Client\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"chunk_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":500,\"fileTypes\":[],\"password\":false,\"name\":\"chunk_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"ids\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"ids\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadatas\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"query_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"query_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_kwargs\":{\"type\":\"NestedDict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"supabase_service_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"supabase_service_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"supabase_url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"supabase_url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"table_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"table_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"SupabaseVectorStore\"},\"description\":\"Return VectorStore initialized from texts and embeddings.\",\"base_classes\":[\"VectorStore\",\"SupabaseVectorStore\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"Supabase\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/supabase\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"Weaviate\":{\"template\":{\"client\":{\"type\":\"weaviate.Client\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"relevance_score_fn\":{\"type\":\"Callable[[float], float]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"password\":false,\"name\":\"relevance_score_fn\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"batch_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"by_text\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"by_text\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client_kwargs\":{\"type\":\"code\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"client_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"index_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"index_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadatas\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_kwargs\":{\"type\":\"NestedDict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"text_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"text\",\"fileTypes\":[],\"password\":true,\"name\":\"text_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"weaviate_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"weaviate_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"weaviate_url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"http://localhost:8080\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"http://localhost:8080\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"weaviate_url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"Weaviate\"},\"description\":\"Construct Weaviate wrapper from raw documents.\",\"base_classes\":[\"VectorStore\",\"Weaviate\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"Weaviate\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/weaviate\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"Redis\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\n\\nfrom langchain.vectorstores.redis import Redis\\nfrom langchain.schema import Document\\nfrom langchain.vectorstores.base import VectorStore\\nfrom langchain.embeddings.base import Embeddings\\n\\n\\nclass RedisComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing a Vector Store using Redis.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Redis\\\"\\n    description: str = \\\"Implementation of Vector Store using Redis\\\"\\n    documentation = \\\"https://python.langchain.com/docs/integrations/vectorstores/redis\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        \\\"\\\"\\\"\\n        Builds the configuration for the component.\\n\\n        Returns:\\n        - dict: A dictionary containing the configuration options for the component.\\n        \\\"\\\"\\\"\\n        return {\\n            \\\"index_name\\\": {\\\"display_name\\\": \\\"Index Name\\\", \\\"value\\\": \\\"your_index\\\"},\\n            \\\"code\\\": {\\\"show\\\": False, \\\"display_name\\\": \\\"Code\\\"},\\n            \\\"documents\\\": {\\\"display_name\\\": \\\"Documents\\\", \\\"is_list\\\": True},\\n            \\\"embedding\\\": {\\\"display_name\\\": \\\"Embedding\\\"},\\n            \\\"redis_server_url\\\": {\\n                \\\"display_name\\\": \\\"Redis Server Connection String\\\",\\n                \\\"advanced\\\": False,\\n            },\\n            \\\"redis_index_name\\\": {\\\"display_name\\\": \\\"Redis Index\\\", \\\"advanced\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        embedding: Embeddings,\\n        redis_server_url: str,\\n        redis_index_name: str,\\n        documents: Optional[Document] = None,\\n    ) -> VectorStore:\\n        \\\"\\\"\\\"\\n        Builds the Vector Store or BaseRetriever object.\\n\\n        Args:\\n        - embedding (Embeddings): The embeddings to use for the Vector Store.\\n        - documents (Optional[Document]): The documents to use for the Vector Store.\\n        - redis_index_name (str): The name of the Redis index.\\n        - redis_server_url (str): The URL for the Redis server.\\n\\n        Returns:\\n        - VectorStore: The Vector Store object.\\n        \\\"\\\"\\\"\\n\\n        return Redis.from_documents(\\n            documents=documents,  # type: ignore\\n            embedding=embedding,\\n            redis_url=redis_server_url,\\n            index_name=redis_index_name,\\n        )\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"redis_index_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"redis_index_name\",\"display_name\":\"Redis Index\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"redis_server_url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"redis_server_url\",\"display_name\":\"Redis Server Connection String\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Implementation of Vector Store using Redis\",\"base_classes\":[\"VectorStore\"],\"display_name\":\"Redis\",\"documentation\":\"https://python.langchain.com/docs/integrations/vectorstores/redis\",\"custom_fields\":{\"documents\":null,\"embedding\":null,\"redis_index_name\":null,\"redis_server_url\":null},\"output_types\":[\"Redis\"],\"field_formatters\":{},\"beta\":true},\"Chroma\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"chroma_server_cors_allow_origins\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chroma_server_cors_allow_origins\",\"display_name\":\"Server CORS Allow Origins\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"chroma_server_grpc_port\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chroma_server_grpc_port\",\"display_name\":\"Server gRPC Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"chroma_server_host\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chroma_server_host\",\"display_name\":\"Server Host\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"chroma_server_port\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chroma_server_port\",\"display_name\":\"Server Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"chroma_server_ssl_enabled\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chroma_server_ssl_enabled\",\"display_name\":\"Server SSL Enabled\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional, Union\\nfrom langflow import CustomComponent\\n\\nfrom langchain.vectorstores import Chroma\\nfrom langchain.schema import Document\\nfrom langchain.vectorstores.base import VectorStore\\nfrom langchain.schema import BaseRetriever\\nfrom langchain.embeddings.base import Embeddings\\nimport chromadb  # type: ignore\\n\\n\\nclass ChromaComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing a Vector Store using Chroma.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Chroma\\\"\\n    description: str = \\\"Implementation of Vector Store using Chroma\\\"\\n    documentation = \\\"https://python.langchain.com/docs/integrations/vectorstores/chroma\\\"\\n    beta: bool = True\\n\\n    def build_config(self):\\n        \\\"\\\"\\\"\\n        Builds the configuration for the component.\\n\\n        Returns:\\n        - dict: A dictionary containing the configuration options for the component.\\n        \\\"\\\"\\\"\\n        return {\\n            \\\"collection_name\\\": {\\\"display_name\\\": \\\"Collection Name\\\", \\\"value\\\": \\\"langflow\\\"},\\n            \\\"persist\\\": {\\\"display_name\\\": \\\"Persist\\\"},\\n            \\\"persist_directory\\\": {\\\"display_name\\\": \\\"Persist Directory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False, \\\"display_name\\\": \\\"Code\\\"},\\n            \\\"documents\\\": {\\\"display_name\\\": \\\"Documents\\\", \\\"is_list\\\": True},\\n            \\\"embedding\\\": {\\\"display_name\\\": \\\"Embedding\\\"},\\n            \\\"chroma_server_cors_allow_origins\\\": {\\n                \\\"display_name\\\": \\\"Server CORS Allow Origins\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"chroma_server_host\\\": {\\\"display_name\\\": \\\"Server Host\\\", \\\"advanced\\\": True},\\n            \\\"chroma_server_port\\\": {\\\"display_name\\\": \\\"Server Port\\\", \\\"advanced\\\": True},\\n            \\\"chroma_server_grpc_port\\\": {\\n                \\\"display_name\\\": \\\"Server gRPC Port\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"chroma_server_ssl_enabled\\\": {\\n                \\\"display_name\\\": \\\"Server SSL Enabled\\\",\\n                \\\"advanced\\\": True,\\n            },\\n        }\\n\\n    def build(\\n        self,\\n        collection_name: str,\\n        persist: bool,\\n        chroma_server_ssl_enabled: bool,\\n        persist_directory: Optional[str] = None,\\n        embedding: Optional[Embeddings] = None,\\n        documents: Optional[Document] = None,\\n        chroma_server_cors_allow_origins: Optional[str] = None,\\n        chroma_server_host: Optional[str] = None,\\n        chroma_server_port: Optional[int] = None,\\n        chroma_server_grpc_port: Optional[int] = None,\\n    ) -> Union[VectorStore, BaseRetriever]:\\n        \\\"\\\"\\\"\\n        Builds the Vector Store or BaseRetriever object.\\n\\n        Args:\\n        - collection_name (str): The name of the collection.\\n        - persist_directory (Optional[str]): The directory to persist the Vector Store to.\\n        - chroma_server_ssl_enabled (bool): Whether to enable SSL for the Chroma server.\\n        - persist (bool): Whether to persist the Vector Store or not.\\n        - embedding (Optional[Embeddings]): The embeddings to use for the Vector Store.\\n        - documents (Optional[Document]): The documents to use for the Vector Store.\\n        - chroma_server_cors_allow_origins (Optional[str]): The CORS allow origins for the Chroma server.\\n        - chroma_server_host (Optional[str]): The host for the Chroma server.\\n        - chroma_server_port (Optional[int]): The port for the Chroma server.\\n        - chroma_server_grpc_port (Optional[int]): The gRPC port for the Chroma server.\\n\\n        Returns:\\n        - Union[VectorStore, BaseRetriever]: The Vector Store or BaseRetriever object.\\n        \\\"\\\"\\\"\\n\\n        # Chroma settings\\n        chroma_settings = None\\n\\n        if chroma_server_host is not None:\\n            chroma_settings = chromadb.config.Settings(\\n                chroma_server_cors_allow_origins=chroma_server_cors_allow_origins or None,\\n                chroma_server_host=chroma_server_host,\\n                chroma_server_port=chroma_server_port or None,\\n                chroma_server_grpc_port=chroma_server_grpc_port or None,\\n                chroma_server_ssl_enabled=chroma_server_ssl_enabled,\\n            )\\n\\n        # If documents, then we need to create a Chroma instance using .from_documents\\n        if documents is not None and embedding is not None:\\n            return Chroma.from_documents(\\n                documents=documents,  # type: ignore\\n                persist_directory=persist_directory if persist else None,\\n                collection_name=collection_name,\\n                embedding=embedding,\\n                client_settings=chroma_settings,\\n            )\\n\\n        return Chroma(persist_directory=persist_directory, client_settings=chroma_settings)\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"collection_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"langflow\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"collection_name\",\"display_name\":\"Collection Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"persist\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"persist\",\"display_name\":\"Persist\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"persist_directory\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"persist_directory\",\"display_name\":\"Persist Directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Implementation of Vector Store using Chroma\",\"base_classes\":[\"VectorStore\",\"BaseRetriever\"],\"display_name\":\"Chroma\",\"documentation\":\"https://python.langchain.com/docs/integrations/vectorstores/chroma\",\"custom_fields\":{\"chroma_server_cors_allow_origins\":null,\"chroma_server_grpc_port\":null,\"chroma_server_host\":null,\"chroma_server_port\":null,\"chroma_server_ssl_enabled\":null,\"collection_name\":null,\"documents\":null,\"embedding\":null,\"persist\":null,\"persist_directory\":null},\"output_types\":[\"Chroma\"],\"field_formatters\":{},\"beta\":true},\"pgvector\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional, List\\nfrom langflow import CustomComponent\\n\\nfrom langchain.vectorstores.pgvector import PGVector\\nfrom langchain.schema import Document\\nfrom langchain.vectorstores.base import VectorStore\\nfrom langchain.embeddings.base import Embeddings\\n\\n\\nclass PostgresqlVectorComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing a Vector Store using PostgreSQL.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"PGVector\\\"\\n    description: str = \\\"Implementation of Vector Store using PostgreSQL\\\"\\n    documentation = \\\"https://python.langchain.com/docs/integrations/vectorstores/pgvector\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        \\\"\\\"\\\"\\n        Builds the configuration for the component.\\n\\n        Returns:\\n        - dict: A dictionary containing the configuration options for the component.\\n        \\\"\\\"\\\"\\n        return {\\n            \\\"index_name\\\": {\\\"display_name\\\": \\\"Index Name\\\", \\\"value\\\": \\\"your_index\\\"},\\n            \\\"code\\\": {\\\"show\\\": True, \\\"display_name\\\": \\\"Code\\\"},\\n            \\\"documents\\\": {\\\"display_name\\\": \\\"Documents\\\", \\\"is_list\\\": True},\\n            \\\"embedding\\\": {\\\"display_name\\\": \\\"Embedding\\\"},\\n            \\\"pg_server_url\\\": {\\n                \\\"display_name\\\": \\\"PostgreSQL Server Connection String\\\",\\n                \\\"advanced\\\": False,\\n            },\\n            \\\"collection_name\\\": {\\\"display_name\\\": \\\"Table\\\", \\\"advanced\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        embedding: Embeddings,\\n        pg_server_url: str,\\n        collection_name: str,\\n        documents: Optional[List[Document]] = None,\\n    ) -> VectorStore:\\n        \\\"\\\"\\\"\\n        Builds the Vector Store or BaseRetriever object.\\n\\n        Args:\\n        - embedding (Embeddings): The embeddings to use for the Vector Store.\\n        - documents (Optional[Document]): The documents to use for the Vector Store.\\n        - collection_name (str): The name of the PG table.\\n        - pg_server_url (str): The URL for the PG server.\\n\\n        Returns:\\n        - VectorStore: The Vector Store object.\\n        \\\"\\\"\\\"\\n\\n        try:\\n            if documents is None:\\n                return PGVector.from_existing_index(\\n                    embedding=embedding,\\n                    collection_name=collection_name,\\n                    connection_string=pg_server_url,\\n                )\\n\\n            return PGVector.from_documents(\\n                embedding=embedding,\\n                documents=documents,\\n                collection_name=collection_name,\\n                connection_string=pg_server_url,\\n            )\\n        except Exception as e:\\n            raise RuntimeError(f\\\"Failed to build PGVector: {e}\\\")\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"collection_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"collection_name\",\"display_name\":\"Table\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"pg_server_url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"pg_server_url\",\"display_name\":\"PostgreSQL Server Connection String\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Implementation of Vector Store using PostgreSQL\",\"base_classes\":[],\"display_name\":\"PGVector\",\"documentation\":\"https://python.langchain.com/docs/integrations/vectorstores/pgvector\",\"custom_fields\":{\"collection_name\":null,\"documents\":null,\"embedding\":null,\"pg_server_url\":null},\"output_types\":[\"pgvector\"],\"field_formatters\":{},\"beta\":true},\"Vectara\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional, Union\\n\\nfrom langchain.schema import BaseRetriever, Document\\nfrom langchain.vectorstores import Vectara\\nfrom langchain.vectorstores.base import VectorStore\\n\\nfrom langflow import CustomComponent\\n\\n\\nclass VectaraComponent(CustomComponent):\\n    display_name: str = \\\"Vectara\\\"\\n    description: str = \\\"Implementation of Vector Store using Vectara\\\"\\n    documentation = \\\"https://python.langchain.com/docs/integrations/vectorstores/vectara\\\"\\n    beta = True\\n    # api key should be password = True\\n    field_config = {\\n        \\\"vectara_customer_id\\\": {\\\"display_name\\\": \\\"Vectara Customer ID\\\"},\\n        \\\"vectara_corpus_id\\\": {\\\"display_name\\\": \\\"Vectara Corpus ID\\\"},\\n        \\\"vectara_api_key\\\": {\\\"display_name\\\": \\\"Vectara API Key\\\", \\\"password\\\": True},\\n        \\\"code\\\": {\\\"show\\\": False},\\n        \\\"documents\\\": {\\\"display_name\\\": \\\"Documents\\\"},\\n    }\\n\\n    def build(\\n        self,\\n        vectara_customer_id: str,\\n        vectara_corpus_id: str,\\n        vectara_api_key: str,\\n        documents: Optional[Document] = None,\\n    ) -> Union[VectorStore, BaseRetriever]:\\n        # If documents, then we need to create a Vectara instance using .from_documents\\n        if documents is not None:\\n            return Vectara.from_documents(\\n                documents=documents,  # type: ignore\\n                vectara_customer_id=vectara_customer_id,\\n                vectara_corpus_id=vectara_corpus_id,\\n                vectara_api_key=vectara_api_key,\\n                source=\\\"langflow\\\",\\n            )\\n\\n        return Vectara(\\n            vectara_customer_id=vectara_customer_id,\\n            vectara_corpus_id=vectara_corpus_id,\\n            vectara_api_key=vectara_api_key,\\n            source=\\\"langflow\\\",\\n        )\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"vectara_api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"vectara_api_key\",\"display_name\":\"Vectara API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"vectara_corpus_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"vectara_corpus_id\",\"display_name\":\"Vectara Corpus ID\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"vectara_customer_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"vectara_customer_id\",\"display_name\":\"Vectara Customer ID\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Implementation of Vector Store using Vectara\",\"base_classes\":[\"VectorStore\",\"BaseRetriever\"],\"display_name\":\"Vectara\",\"documentation\":\"https://python.langchain.com/docs/integrations/vectorstores/vectara\",\"custom_fields\":{\"documents\":null,\"vectara_api_key\":null,\"vectara_corpus_id\":null,\"vectara_customer_id\":null},\"output_types\":[\"Vectara\"],\"field_formatters\":{},\"beta\":true}},\"documentloaders\":{\"AZLyricsLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"web_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"AZLyricsLoader\"},\"description\":\"Load `AZLyrics` webpages.\",\"base_classes\":[\"Document\"],\"display_name\":\"AZLyricsLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/azlyrics\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"AirbyteJSONLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".json\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"BSHTMLLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".html\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"BSHTMLLoader\"},\"description\":\"Load `HTML` files and parse them with `beautiful soup`.\",\"base_classes\":[\"Document\"],\"display_name\":\"BSHTMLLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/html\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"CSVLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".csv\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"CoNLLULoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".csv\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CoNLLULoader\"},\"description\":\"Load `CoNLL-U` files.\",\"base_classes\":[\"Document\"],\"display_name\":\"CoNLLULoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/conll-u\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"CollegeConfidentialLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"web_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CollegeConfidentialLoader\"},\"description\":\"Load `College Confidential` webpages.\",\"base_classes\":[\"Document\"],\"display_name\":\"CollegeConfidentialLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/college_confidential\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"DirectoryLoader\":{\"template\":{\"glob\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"**/*.txt\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"glob\",\"display_name\":\"glob\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"load_hidden\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"False\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"load_hidden\",\"display_name\":\"Load hidden files\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"max_concurrency\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"max_concurrency\",\"display_name\":\"Max concurrency\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"path\",\"display_name\":\"Local directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"recursive\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"True\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"recursive\",\"display_name\":\"Recursive\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"silent_errors\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"False\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"silent_errors\",\"display_name\":\"Silent errors\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"use_multithreading\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"True\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"use_multithreading\",\"display_name\":\"Use multithreading\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"DirectoryLoader\"},\"description\":\"Load from a directory.\",\"base_classes\":[\"Document\"],\"display_name\":\"DirectoryLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/file_directory\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"EverNoteLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".xml\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"EverNoteLoader\"},\"description\":\"Load from `EverNote`.\",\"base_classes\":[\"Document\"],\"display_name\":\"EverNoteLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/evernote\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"FacebookChatLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".json\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"FacebookChatLoader\"},\"description\":\"Load `Facebook Chat` messages directory dump.\",\"base_classes\":[\"Document\"],\"display_name\":\"FacebookChatLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/facebook_chat\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"GitLoader\":{\"template\":{\"branch\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"branch\",\"display_name\":\"Branch\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"clone_url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"clone_url\",\"display_name\":\"Clone URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"file_filter\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"file_filter\",\"display_name\":\"File extensions (comma-separated)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"repo_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"repo_path\",\"display_name\":\"Path to repository\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"GitLoader\"},\"description\":\"Load `Git` repository files.\",\"base_classes\":[\"Document\"],\"display_name\":\"GitLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/git\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"GitbookLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"web_page\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"web_page\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"GitbookLoader\"},\"description\":\"Load `GitBook` data.\",\"base_classes\":[\"Document\"],\"display_name\":\"GitbookLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/gitbook\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"GutenbergLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"web_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"GutenbergLoader\"},\"description\":\"Load from `Gutenberg.org`.\",\"base_classes\":[\"Document\"],\"display_name\":\"GutenbergLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/gutenberg\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"HNLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"web_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"HNLoader\"},\"description\":\"Load `Hacker News` data.\",\"base_classes\":[\"Document\"],\"display_name\":\"HNLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/hacker_news\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"IFixitLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"web_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"IFixitLoader\"},\"description\":\"Load `iFixit` repair guides, device wikis and answers.\",\"base_classes\":[\"Document\"],\"display_name\":\"IFixitLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/ifixit\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"IMSDbLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"web_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"IMSDbLoader\"},\"description\":\"Load `IMSDb` webpages.\",\"base_classes\":[\"Document\"],\"display_name\":\"IMSDbLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/imsdb\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"NotionDirectoryLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"path\",\"display_name\":\"Local directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"NotionDirectoryLoader\"},\"description\":\"Load `Notion directory` dump.\",\"base_classes\":[\"Document\"],\"display_name\":\"NotionDirectoryLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/notion\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"PyPDFLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".pdf\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"PyPDFLoader\"},\"description\":\"Load PDF using pypdf into list of documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"PyPDFLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/pdf\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"PyPDFDirectoryLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"path\",\"display_name\":\"Local directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"PyPDFDirectoryLoader\"},\"description\":\"Load a directory with `PDF` files using `pypdf` and chunks at character level.\",\"base_classes\":[\"Document\"],\"display_name\":\"PyPDFDirectoryLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/pdf\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"ReadTheDocsLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"path\",\"display_name\":\"Local directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ReadTheDocsLoader\"},\"description\":\"Load `ReadTheDocs` documentation directory.\",\"base_classes\":[\"Document\"],\"display_name\":\"ReadTheDocsLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/readthedocs_documentation\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"SRTLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".srt\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"SRTLoader\"},\"description\":\"Load `.srt` (subtitle) files.\",\"base_classes\":[\"Document\"],\"display_name\":\"SRTLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/subtitle\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"SlackDirectoryLoader\":{\"template\":{\"zip_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".zip\"],\"file_path\":\"\",\"password\":false,\"name\":\"zip_path\",\"display_name\":\"Path to zip file\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"workspace_url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"workspace_url\",\"display_name\":\"Workspace URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"SlackDirectoryLoader\"},\"description\":\"Load from a `Slack` directory dump.\",\"base_classes\":[\"Document\"],\"display_name\":\"SlackDirectoryLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/slack\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"TextLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".txt\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"TextLoader\"},\"description\":\"Load text file.\",\"base_classes\":[\"Document\"],\"display_name\":\"TextLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"UnstructuredEmailLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".eml\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"UnstructuredEmailLoader\"},\"description\":\"Load email files using `Unstructured`.\",\"base_classes\":[\"Document\"],\"display_name\":\"UnstructuredEmailLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/email\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"UnstructuredHTMLLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".html\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"UnstructuredHTMLLoader\"},\"description\":\"Load `HTML` files using `Unstructured`.\",\"base_classes\":[\"Document\"],\"display_name\":\"UnstructuredHTMLLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/html\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"UnstructuredMarkdownLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".md\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"UnstructuredMarkdownLoader\"},\"description\":\"Load `Markdown` files using `Unstructured`.\",\"base_classes\":[\"Document\"],\"display_name\":\"UnstructuredMarkdownLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/markdown\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"UnstructuredPowerPointLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".pptx\",\".ppt\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"UnstructuredPowerPointLoader\"},\"description\":\"Load `Microsoft PowerPoint` files using `Unstructured`.\",\"base_classes\":[\"Document\"],\"display_name\":\"UnstructuredPowerPointLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/microsoft_powerpoint\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"UnstructuredWordDocumentLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".docx\",\".doc\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"UnstructuredWordDocumentLoader\"},\"description\":\"Load `Microsoft Word` file using `Unstructured`.\",\"base_classes\":[\"Document\"],\"display_name\":\"UnstructuredWordDocumentLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/microsoft_word\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"WebBaseLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"web_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"WebBaseLoader\"},\"description\":\"Load HTML pages using `urllib` and parse them with `BeautifulSoup'.\",\"base_classes\":[\"Document\"],\"display_name\":\"WebBaseLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/web_base\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"FileLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[\"json\",\"txt\",\"csv\",\"jsonl\",\"html\",\"htm\",\"conllu\",\"enex\",\"msg\",\"pdf\",\"srt\",\"eml\",\"md\",\"pptx\",\"docx\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"display_name\":\"File Path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langchain.schema import Document\\n\\nfrom langflow import CustomComponent\\nfrom langflow.utils.constants import LOADERS_INFO\\n\\n\\nclass FileLoaderComponent(CustomComponent):\\n    display_name: str = \\\"File Loader\\\"\\n    description: str = \\\"Generic File Loader\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        loader_options = [\\\"Automatic\\\"] + [loader_info[\\\"name\\\"] for loader_info in LOADERS_INFO]\\n\\n        file_types = []\\n        suffixes = []\\n\\n        for loader_info in LOADERS_INFO:\\n            if \\\"allowedTypes\\\" in loader_info:\\n                file_types.extend(loader_info[\\\"allowedTypes\\\"])\\n                suffixes.extend([f\\\".{ext}\\\" for ext in loader_info[\\\"allowedTypes\\\"]])\\n\\n        return {\\n            \\\"file_path\\\": {\\n                \\\"display_name\\\": \\\"File Path\\\",\\n                \\\"required\\\": True,\\n                \\\"field_type\\\": \\\"file\\\",\\n                \\\"file_types\\\": [\\n                    \\\"json\\\",\\n                    \\\"txt\\\",\\n                    \\\"csv\\\",\\n                    \\\"jsonl\\\",\\n                    \\\"html\\\",\\n                    \\\"htm\\\",\\n                    \\\"conllu\\\",\\n                    \\\"enex\\\",\\n                    \\\"msg\\\",\\n                    \\\"pdf\\\",\\n                    \\\"srt\\\",\\n                    \\\"eml\\\",\\n                    \\\"md\\\",\\n                    \\\"pptx\\\",\\n                    \\\"docx\\\",\\n                ],\\n                \\\"suffixes\\\": [\\n                    \\\".json\\\",\\n                    \\\".txt\\\",\\n                    \\\".csv\\\",\\n                    \\\".jsonl\\\",\\n                    \\\".html\\\",\\n                    \\\".htm\\\",\\n                    \\\".conllu\\\",\\n                    \\\".enex\\\",\\n                    \\\".msg\\\",\\n                    \\\".pdf\\\",\\n                    \\\".srt\\\",\\n                    \\\".eml\\\",\\n                    \\\".md\\\",\\n                    \\\".pptx\\\",\\n                    \\\".docx\\\",\\n                ],\\n                # \\\"file_types\\\" : file_types,\\n                # \\\"suffixes\\\": suffixes,\\n            },\\n            \\\"loader\\\": {\\n                \\\"display_name\\\": \\\"Loader\\\",\\n                \\\"is_list\\\": True,\\n                \\\"required\\\": True,\\n                \\\"options\\\": loader_options,\\n                \\\"value\\\": \\\"Automatic\\\",\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(self, file_path: str, loader: str) -> Document:\\n        file_type = file_path.split(\\\".\\\")[-1]\\n\\n        # Mapeie o nome do loader selecionado para suas informações\\n        selected_loader_info = None\\n        for loader_info in LOADERS_INFO:\\n            if loader_info[\\\"name\\\"] == loader:\\n                selected_loader_info = loader_info\\n                break\\n\\n        if selected_loader_info is None and loader != \\\"Automatic\\\":\\n            raise ValueError(f\\\"Loader {loader} not found in the loader info list\\\")\\n\\n        if loader == \\\"Automatic\\\":\\n            # Determine o loader automaticamente com base na extensão do arquivo\\n            default_loader_info = None\\n            for info in LOADERS_INFO:\\n                if \\\"defaultFor\\\" in info and file_type in info[\\\"defaultFor\\\"]:\\n                    default_loader_info = info\\n                    break\\n\\n            if default_loader_info is None:\\n                raise ValueError(f\\\"No default loader found for file type: {file_type}\\\")\\n\\n            selected_loader_info = default_loader_info\\n        if isinstance(selected_loader_info, dict):\\n            loader_import: str = selected_loader_info[\\\"import\\\"]\\n        else:\\n            raise ValueError(f\\\"Loader info for {loader} is not a dict\\\\nLoader info:\\\\n{selected_loader_info}\\\")\\n        module_name, class_name = loader_import.rsplit(\\\".\\\", 1)\\n\\n        try:\\n            # Importe o loader dinamicamente\\n            loader_module = __import__(module_name, fromlist=[class_name])\\n            loader_instance = getattr(loader_module, class_name)\\n        except ImportError as e:\\n            raise ValueError(f\\\"Loader {loader} could not be imported\\\\nLoader info:\\\\n{selected_loader_info}\\\") from e\\n\\n        result = loader_instance(file_path=file_path)\\n        return result.load()\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"loader\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"Automatic\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"Automatic\",\"Airbyte JSON (.jsonl)\",\"JSON (.json)\",\"BeautifulSoup4 HTML (.html, .htm)\",\"CSV (.csv)\",\"CoNLL-U (.conllu)\",\"EverNote (.enex)\",\"Facebook Chat (.json)\",\"Outlook Message (.msg)\",\"PyPDF (.pdf)\",\"Subtitle (.str)\",\"Text (.txt)\",\"Unstructured Email (.eml)\",\"Unstructured HTML (.html, .htm)\",\"Unstructured Markdown (.md)\",\"Unstructured PowerPoint (.pptx)\",\"Unstructured Word (.docx)\"],\"name\":\"loader\",\"display_name\":\"Loader\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Generic File Loader\",\"base_classes\":[\"Document\"],\"display_name\":\"File Loader\",\"documentation\":\"\",\"custom_fields\":{\"file_path\":null,\"loader\":null},\"output_types\":[\"FileLoader\"],\"field_formatters\":{},\"beta\":true},\"UrlLoader\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import List\\n\\nfrom langchain import document_loaders\\nfrom langchain.schema import Document\\nfrom langflow import CustomComponent\\n\\n\\nclass UrlLoaderComponent(CustomComponent):\\n    display_name: str = \\\"Url Loader\\\"\\n    description: str = \\\"Generic Url Loader Component\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"web_path\\\": {\\n                \\\"display_name\\\": \\\"Url\\\",\\n                \\\"required\\\": True,\\n            },\\n            \\\"loader\\\": {\\n                \\\"display_name\\\": \\\"Loader\\\",\\n                \\\"is_list\\\": True,\\n                \\\"required\\\": True,\\n                \\\"options\\\": [\\n                    \\\"AZLyricsLoader\\\",\\n                    \\\"CollegeConfidentialLoader\\\",\\n                    \\\"GitbookLoader\\\",\\n                    \\\"HNLoader\\\",\\n                    \\\"IFixitLoader\\\",\\n                    \\\"IMSDbLoader\\\",\\n                    \\\"WebBaseLoader\\\",\\n                ],\\n                \\\"value\\\": \\\"WebBaseLoader\\\",\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(self, web_path: str, loader: str) -> List[Document]:\\n        try:\\n            loader_instance = getattr(document_loaders, loader)(web_path=web_path)\\n        except Exception as e:\\n            raise ValueError(f\\\"No loader found for: {web_path}\\\") from e\\n        docs = loader_instance.load()\\n        avg_length = sum(len(doc.page_content) for doc in docs if hasattr(doc, \\\"page_content\\\")) / len(docs)\\n        self.status = f\\\"\\\"\\\"{len(docs)} documents)\\n        \\\\nAvg. Document Length (characters): {int(avg_length)}\\n        Documents: {docs[:3]}...\\\"\\\"\\\"\\n        return docs\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"loader\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"WebBaseLoader\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"AZLyricsLoader\",\"CollegeConfidentialLoader\",\"GitbookLoader\",\"HNLoader\",\"IFixitLoader\",\"IMSDbLoader\",\"WebBaseLoader\"],\"name\":\"loader\",\"display_name\":\"Loader\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"web_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Generic Url Loader Component\",\"base_classes\":[\"Document\"],\"display_name\":\"Url Loader\",\"documentation\":\"\",\"custom_fields\":{\"loader\":null,\"web_path\":null},\"output_types\":[\"UrlLoader\"],\"field_formatters\":{},\"beta\":true}},\"textsplitters\":{\"CharacterTextSplitter\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"chunk_overlap\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":200,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chunk_overlap\",\"display_name\":\"Chunk Overlap\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"chunk_size\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1000,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chunk_size\",\"display_name\":\"Chunk Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"separator\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\\\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"separator\",\"display_name\":\"Separator\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CharacterTextSplitter\"},\"description\":\"Splitting text that looks at characters.\",\"base_classes\":[\"Document\"],\"display_name\":\"CharacterTextSplitter\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/character_text_splitter\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"LanguageRecursiveTextSplitter\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"The documents to split.\"},\"chunk_overlap\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":200,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chunk_overlap\",\"display_name\":\"Chunk Overlap\",\"advanced\":false,\"dynamic\":false,\"info\":\"The amount of overlap between chunks.\"},\"chunk_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":1000,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chunk_size\",\"display_name\":\"Chunk Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"The maximum length of each chunk.\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.text_splitter import Language\\nfrom langchain.schema import Document\\n\\n\\nclass LanguageRecursiveTextSplitterComponent(CustomComponent):\\n    display_name: str = \\\"Language Recursive Text Splitter\\\"\\n    description: str = \\\"Split text into chunks of a specified length based on language.\\\"\\n    documentation: str = \\\"https://docs.langflow.org/components/text-splitters#languagerecursivetextsplitter\\\"\\n\\n    def build_config(self):\\n        options = [x.value for x in Language]\\n        return {\\n            \\\"documents\\\": {\\n                \\\"display_name\\\": \\\"Documents\\\",\\n                \\\"info\\\": \\\"The documents to split.\\\",\\n            },\\n            \\\"separator_type\\\": {\\n                \\\"display_name\\\": \\\"Separator Type\\\",\\n                \\\"info\\\": \\\"The type of separator to use.\\\",\\n                \\\"field_type\\\": \\\"str\\\",\\n                \\\"options\\\": options,\\n                \\\"value\\\": \\\"Python\\\",\\n            },\\n            \\\"separators\\\": {\\n                \\\"display_name\\\": \\\"Separators\\\",\\n                \\\"info\\\": \\\"The characters to split on.\\\",\\n                \\\"is_list\\\": True,\\n            },\\n            \\\"chunk_size\\\": {\\n                \\\"display_name\\\": \\\"Chunk Size\\\",\\n                \\\"info\\\": \\\"The maximum length of each chunk.\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 1000,\\n            },\\n            \\\"chunk_overlap\\\": {\\n                \\\"display_name\\\": \\\"Chunk Overlap\\\",\\n                \\\"info\\\": \\\"The amount of overlap between chunks.\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 200,\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        documents: list[Document],\\n        chunk_size: Optional[int] = 1000,\\n        chunk_overlap: Optional[int] = 200,\\n        separator_type: Optional[str] = \\\"Python\\\",\\n    ) -> list[Document]:\\n        \\\"\\\"\\\"\\n        Split text into chunks of a specified length.\\n\\n        Args:\\n            separators (list[str]): The characters to split on.\\n            chunk_size (int): The maximum length of each chunk.\\n            chunk_overlap (int): The amount of overlap between chunks.\\n            length_function (function): The function to use to calculate the length of the text.\\n\\n        Returns:\\n            list[str]: The chunks of text.\\n        \\\"\\\"\\\"\\n        from langchain.text_splitter import RecursiveCharacterTextSplitter\\n\\n        # Make sure chunk_size and chunk_overlap are ints\\n        if isinstance(chunk_size, str):\\n            chunk_size = int(chunk_size)\\n        if isinstance(chunk_overlap, str):\\n            chunk_overlap = int(chunk_overlap)\\n\\n        splitter = RecursiveCharacterTextSplitter.from_language(\\n            language=Language(separator_type),\\n            chunk_size=chunk_size,\\n            chunk_overlap=chunk_overlap,\\n        )\\n\\n        docs = splitter.split_documents(documents)\\n        return docs\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"separator_type\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"value\":\"Python\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"cpp\",\"go\",\"java\",\"kotlin\",\"js\",\"ts\",\"php\",\"proto\",\"python\",\"rst\",\"ruby\",\"rust\",\"scala\",\"swift\",\"markdown\",\"latex\",\"html\",\"sol\",\"csharp\",\"cobol\"],\"name\":\"separator_type\",\"display_name\":\"Separator Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"The type of separator to use.\"},\"_type\":\"CustomComponent\"},\"description\":\"Split text into chunks of a specified length based on language.\",\"base_classes\":[\"Document\"],\"display_name\":\"Language Recursive Text Splitter\",\"documentation\":\"https://docs.langflow.org/components/text-splitters#languagerecursivetextsplitter\",\"custom_fields\":{\"chunk_overlap\":null,\"chunk_size\":null,\"documents\":null,\"separator_type\":null},\"output_types\":[\"LanguageRecursiveTextSplitter\"],\"field_formatters\":{},\"beta\":true},\"RecursiveCharacterTextSplitter\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"The documents to split.\"},\"chunk_overlap\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":200,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chunk_overlap\",\"display_name\":\"Chunk Overlap\",\"advanced\":false,\"dynamic\":false,\"info\":\"The amount of overlap between chunks.\"},\"chunk_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":1000,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chunk_size\",\"display_name\":\"Chunk Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"The maximum length of each chunk.\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.schema import Document\\nfrom langflow.utils.util import build_loader_repr_from_documents\\n\\n\\nclass RecursiveCharacterTextSplitterComponent(CustomComponent):\\n    display_name: str = \\\"Recursive Character Text Splitter\\\"\\n    description: str = \\\"Split text into chunks of a specified length.\\\"\\n    documentation: str = \\\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"documents\\\": {\\n                \\\"display_name\\\": \\\"Documents\\\",\\n                \\\"info\\\": \\\"The documents to split.\\\",\\n            },\\n            \\\"separators\\\": {\\n                \\\"display_name\\\": \\\"Separators\\\",\\n                \\\"info\\\": 'The characters to split on.\\\\nIf left empty defaults to [\\\"\\\\\\\\n\\\\\\\\n\\\", \\\"\\\\\\\\n\\\", \\\" \\\", \\\"\\\"].',\\n                \\\"is_list\\\": True,\\n            },\\n            \\\"chunk_size\\\": {\\n                \\\"display_name\\\": \\\"Chunk Size\\\",\\n                \\\"info\\\": \\\"The maximum length of each chunk.\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 1000,\\n            },\\n            \\\"chunk_overlap\\\": {\\n                \\\"display_name\\\": \\\"Chunk Overlap\\\",\\n                \\\"info\\\": \\\"The amount of overlap between chunks.\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 200,\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        documents: list[Document],\\n        separators: Optional[list[str]] = None,\\n        chunk_size: Optional[int] = 1000,\\n        chunk_overlap: Optional[int] = 200,\\n    ) -> list[Document]:\\n        \\\"\\\"\\\"\\n        Split text into chunks of a specified length.\\n\\n        Args:\\n            separators (list[str]): The characters to split on.\\n            chunk_size (int): The maximum length of each chunk.\\n            chunk_overlap (int): The amount of overlap between chunks.\\n            length_function (function): The function to use to calculate the length of the text.\\n\\n        Returns:\\n            list[str]: The chunks of text.\\n        \\\"\\\"\\\"\\n        from langchain.text_splitter import RecursiveCharacterTextSplitter\\n\\n        if separators == \\\"\\\":\\n            separators = None\\n        elif separators:\\n            # check if the separators list has escaped characters\\n            # if there are escaped characters, unescape them\\n            separators = [x.encode().decode(\\\"unicode-escape\\\") for x in separators]\\n\\n        # Make sure chunk_size and chunk_overlap are ints\\n        if isinstance(chunk_size, str):\\n            chunk_size = int(chunk_size)\\n        if isinstance(chunk_overlap, str):\\n            chunk_overlap = int(chunk_overlap)\\n        splitter = RecursiveCharacterTextSplitter(\\n            separators=separators,\\n            chunk_size=chunk_size,\\n            chunk_overlap=chunk_overlap,\\n        )\\n\\n        docs = splitter.split_documents(documents)\\n        self.repr_value = build_loader_repr_from_documents(docs)\\n        return docs\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"separators\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"separators\",\"display_name\":\"Separators\",\"advanced\":false,\"dynamic\":false,\"info\":\"The characters to split on.\\nIf left empty defaults to [\\\"\\\\n\\\\n\\\", \\\"\\\\n\\\", \\\" \\\", \\\"\\\"].\"},\"_type\":\"CustomComponent\"},\"description\":\"Split text into chunks of a specified length.\",\"base_classes\":[\"Document\"],\"display_name\":\"Recursive Character Text Splitter\",\"documentation\":\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\",\"custom_fields\":{\"chunk_overlap\":null,\"chunk_size\":null,\"documents\":null,\"separators\":null},\"output_types\":[\"RecursiveCharacterTextSplitter\"],\"field_formatters\":{},\"beta\":true}},\"utilities\":{\"BingSearchAPIWrapper\":{\"template\":{\"bing_search_url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"bing_search_url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"bing_subscription_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"bing_subscription_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"password\":false,\"name\":\"k\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"BingSearchAPIWrapper\"},\"description\":\"Wrapper for Bing Search API.\",\"base_classes\":[\"BingSearchAPIWrapper\"],\"display_name\":\"BingSearchAPIWrapper\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"GoogleSearchAPIWrapper\":{\"template\":{\"google_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"google_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"google_cse_id\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"google_cse_id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"password\":false,\"name\":\"k\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_engine\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"search_engine\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"siterestrict\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"siterestrict\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"GoogleSearchAPIWrapper\"},\"description\":\"Wrapper for Google Search API.\",\"base_classes\":[\"GoogleSearchAPIWrapper\"],\"display_name\":\"GoogleSearchAPIWrapper\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"GoogleSerperAPIWrapper\":{\"template\":{\"aiosession\":{\"type\":\"ClientSession\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"aiosession\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"gl\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"us\",\"fileTypes\":[],\"password\":false,\"name\":\"gl\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"hl\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"en\",\"fileTypes\":[],\"password\":false,\"name\":\"hl\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"password\":false,\"name\":\"k\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"result_key_for_type\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{\\n  \\\"news\\\": \\\"news\\\",\\n  \\\"places\\\": \\\"places\\\",\\n  \\\"images\\\": \\\"images\\\",\\n  \\\"search\\\": \\\"organic\\\"\\n}\",\"fileTypes\":[],\"password\":true,\"name\":\"result_key_for_type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"serper_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"serper_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tbs\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tbs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"type\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"search\",\"fileTypes\":[],\"password\":false,\"name\":\"type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"GoogleSerperAPIWrapper\"},\"description\":\"Wrapper around the Serper.dev Google Search API.\",\"base_classes\":[\"GoogleSerperAPIWrapper\"],\"display_name\":\"GoogleSerperAPIWrapper\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"SearxSearchWrapper\":{\"template\":{\"aiosession\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"aiosession\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"categories\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"value\":[],\"fileTypes\":[],\"password\":false,\"name\":\"categories\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"engines\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"value\":[],\"fileTypes\":[],\"password\":false,\"name\":\"engines\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"headers\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"fileTypes\":[],\"password\":false,\"name\":\"headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"password\":false,\"name\":\"k\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"params\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"params\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"query_suffix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"password\":false,\"name\":\"query_suffix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"searx_host\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"password\":false,\"name\":\"searx_host\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"unsecure\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"unsecure\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"SearxSearchWrapper\"},\"description\":\"Wrapper for Searx API.\",\"base_classes\":[\"SearxSearchWrapper\"],\"display_name\":\"SearxSearchWrapper\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"SerpAPIWrapper\":{\"template\":{\"aiosession\":{\"type\":\"ClientSession\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"aiosession\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"params\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"{\\n  \\\"engine\\\": \\\"google\\\",\\n  \\\"google_domain\\\": \\\"google.com\\\",\\n  \\\"gl\\\": \\\"us\\\",\\n  \\\"hl\\\": \\\"en\\\"\\n}\",\"fileTypes\":[],\"password\":false,\"name\":\"params\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_engine\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"search_engine\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"serpapi_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"serpapi_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"SerpAPIWrapper\"},\"description\":\"Wrapper around SerpAPI.\",\"base_classes\":[\"SerpAPIWrapper\"],\"display_name\":\"SerpAPIWrapper\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"WikipediaAPIWrapper\":{\"template\":{\"doc_content_chars_max\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":4000,\"fileTypes\":[],\"password\":false,\"name\":\"doc_content_chars_max\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"lang\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"en\",\"fileTypes\":[],\"password\":false,\"name\":\"lang\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"load_all_available_meta\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"load_all_available_meta\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"top_k_results\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":3,\"fileTypes\":[],\"password\":false,\"name\":\"top_k_results\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"wiki_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"wiki_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"WikipediaAPIWrapper\"},\"description\":\"Wrapper around WikipediaAPI.\",\"base_classes\":[\"WikipediaAPIWrapper\"],\"display_name\":\"WikipediaAPIWrapper\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"WolframAlphaAPIWrapper\":{\"template\":{\"wolfram_alpha_appid\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"wolfram_alpha_appid\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"wolfram_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"wolfram_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"WolframAlphaAPIWrapper\"},\"description\":\"Wrapper for Wolfram Alpha.\",\"base_classes\":[\"WolframAlphaAPIWrapper\"],\"display_name\":\"WolframAlphaAPIWrapper\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"GetRequest\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langchain.schema import Document\\nfrom langflow.services.database.models.base import orjson_dumps\\nimport requests\\nfrom typing import Optional\\n\\n\\nclass GetRequest(CustomComponent):\\n    display_name: str = \\\"GET Request\\\"\\n    description: str = \\\"Make a GET request to the given URL.\\\"\\n    output_types: list[str] = [\\\"Document\\\"]\\n    documentation: str = \\\"https://docs.langflow.org/components/utilities#get-request\\\"\\n    beta: bool = True\\n    field_config = {\\n        \\\"url\\\": {\\n            \\\"display_name\\\": \\\"URL\\\",\\n            \\\"info\\\": \\\"The URL to make the request to\\\",\\n            \\\"is_list\\\": True,\\n        },\\n        \\\"headers\\\": {\\n            \\\"display_name\\\": \\\"Headers\\\",\\n            \\\"info\\\": \\\"The headers to send with the request.\\\",\\n        },\\n        \\\"code\\\": {\\\"show\\\": False},\\n        \\\"timeout\\\": {\\n            \\\"display_name\\\": \\\"Timeout\\\",\\n            \\\"field_type\\\": \\\"int\\\",\\n            \\\"info\\\": \\\"The timeout to use for the request.\\\",\\n            \\\"value\\\": 5,\\n        },\\n    }\\n\\n    def get_document(self, session: requests.Session, url: str, headers: Optional[dict], timeout: int) -> Document:\\n        try:\\n            response = session.get(url, headers=headers, timeout=int(timeout))\\n            try:\\n                response_json = response.json()\\n                result = orjson_dumps(response_json, indent_2=False)\\n            except Exception:\\n                result = response.text\\n            self.repr_value = result\\n            return Document(\\n                page_content=result,\\n                metadata={\\n                    \\\"source\\\": url,\\n                    \\\"headers\\\": headers,\\n                    \\\"status_code\\\": response.status_code,\\n                },\\n            )\\n        except requests.Timeout:\\n            return Document(\\n                page_content=\\\"Request Timed Out\\\",\\n                metadata={\\\"source\\\": url, \\\"headers\\\": headers, \\\"status_code\\\": 408},\\n            )\\n        except Exception as exc:\\n            return Document(\\n                page_content=str(exc),\\n                metadata={\\\"source\\\": url, \\\"headers\\\": headers, \\\"status_code\\\": 500},\\n            )\\n\\n    def build(\\n        self,\\n        url: str,\\n        headers: Optional[dict] = None,\\n        timeout: int = 5,\\n    ) -> list[Document]:\\n        if headers is None:\\n            headers = {}\\n        urls = url if isinstance(url, list) else [url]\\n        with requests.Session() as session:\\n            documents = [self.get_document(session, u, headers, timeout) for u in urls]\\n            self.repr_value = documents\\n        return documents\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"headers\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"headers\",\"display_name\":\"Headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"The headers to send with the request.\"},\"timeout\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":5,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"timeout\",\"display_name\":\"Timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"The timeout to use for the request.\"},\"url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"The URL to make the request to\"},\"_type\":\"CustomComponent\"},\"description\":\"Make a GET request to the given URL.\",\"base_classes\":[\"Document\"],\"display_name\":\"GET Request\",\"documentation\":\"https://docs.langflow.org/components/utilities#get-request\",\"custom_fields\":{\"headers\":null,\"timeout\":null,\"url\":null},\"output_types\":[\"GetRequest\"],\"field_formatters\":{},\"beta\":true},\"JSONDocumentBuilder\":{\"template\":{\"document\":{\"type\":\"Document\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"document\",\"display_name\":\"Document\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"### JSON Document Builder\\n\\n# Build a Document containing a JSON object using a key and another Document page content.\\n\\n# **Params**\\n\\n# - **Key:** The key to use for the JSON object.\\n# - **Document:** The Document page to use for the JSON object.\\n\\n# **Output**\\n\\n# - **Document:** The Document containing the JSON object.\\n\\nfrom langchain.schema import Document\\nfrom langflow import CustomComponent\\nfrom langflow.services.database.models.base import orjson_dumps\\n\\n\\nclass JSONDocumentBuilder(CustomComponent):\\n    display_name: str = \\\"JSON Document Builder\\\"\\n    description: str = \\\"Build a Document containing a JSON object using a key and another Document page content.\\\"\\n    output_types: list[str] = [\\\"Document\\\"]\\n    beta = True\\n    documentation: str = \\\"https://docs.langflow.org/components/utilities#json-document-builder\\\"\\n\\n    field_config = {\\n        \\\"key\\\": {\\\"display_name\\\": \\\"Key\\\"},\\n        \\\"document\\\": {\\\"display_name\\\": \\\"Document\\\"},\\n    }\\n\\n    def build(\\n        self,\\n        key: str,\\n        document: Document,\\n    ) -> Document:\\n        documents = None\\n        if isinstance(document, list):\\n            documents = [\\n                Document(page_content=orjson_dumps({key: doc.page_content}, indent_2=False)) for doc in document\\n            ]\\n        elif isinstance(document, Document):\\n            documents = Document(page_content=orjson_dumps({key: document.page_content}, indent_2=False))\\n        else:\\n            raise TypeError(f\\\"Expected Document or list of Documents, got {type(document)}\\\")\\n        self.repr_value = documents\\n        return documents\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"key\",\"display_name\":\"Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Build a Document containing a JSON object using a key and another Document page content.\",\"base_classes\":[\"Document\"],\"display_name\":\"JSON Document Builder\",\"documentation\":\"https://docs.langflow.org/components/utilities#json-document-builder\",\"custom_fields\":{\"document\":null,\"key\":null},\"output_types\":[\"JSONDocumentBuilder\"],\"field_formatters\":{},\"beta\":true},\"UpdateRequest\":{\"template\":{\"document\":{\"type\":\"Document\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"document\",\"display_name\":\"Document\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import List, Optional\\nimport requests\\nfrom langflow import CustomComponent\\nfrom langchain.schema import Document\\nfrom langflow.services.database.models.base import orjson_dumps\\n\\n\\nclass UpdateRequest(CustomComponent):\\n    display_name: str = \\\"Update Request\\\"\\n    description: str = \\\"Make a PATCH request to the given URL.\\\"\\n    output_types: list[str] = [\\\"Document\\\"]\\n    documentation: str = \\\"https://docs.langflow.org/components/utilities#update-request\\\"\\n    beta: bool = True\\n    field_config = {\\n        \\\"url\\\": {\\\"display_name\\\": \\\"URL\\\", \\\"info\\\": \\\"The URL to make the request to.\\\"},\\n        \\\"headers\\\": {\\n            \\\"display_name\\\": \\\"Headers\\\",\\n            \\\"field_type\\\": \\\"NestedDict\\\",\\n            \\\"info\\\": \\\"The headers to send with the request.\\\",\\n        },\\n        \\\"code\\\": {\\\"show\\\": False},\\n        \\\"document\\\": {\\\"display_name\\\": \\\"Document\\\"},\\n        \\\"method\\\": {\\n            \\\"display_name\\\": \\\"Method\\\",\\n            \\\"field_type\\\": \\\"str\\\",\\n            \\\"info\\\": \\\"The HTTP method to use.\\\",\\n            \\\"options\\\": [\\\"PATCH\\\", \\\"PUT\\\"],\\n            \\\"value\\\": \\\"PATCH\\\",\\n        },\\n    }\\n\\n    def update_document(\\n        self,\\n        session: requests.Session,\\n        document: Document,\\n        url: str,\\n        headers: Optional[dict] = None,\\n        method: str = \\\"PATCH\\\",\\n    ) -> Document:\\n        try:\\n            if method == \\\"PATCH\\\":\\n                response = session.patch(url, headers=headers, data=document.page_content)\\n            elif method == \\\"PUT\\\":\\n                response = session.put(url, headers=headers, data=document.page_content)\\n            else:\\n                raise ValueError(f\\\"Unsupported method: {method}\\\")\\n            try:\\n                response_json = response.json()\\n                result = orjson_dumps(response_json, indent_2=False)\\n            except Exception:\\n                result = response.text\\n            self.repr_value = result\\n            return Document(\\n                page_content=result,\\n                metadata={\\n                    \\\"source\\\": url,\\n                    \\\"headers\\\": headers,\\n                    \\\"status_code\\\": response.status_code,\\n                },\\n            )\\n        except Exception as exc:\\n            return Document(\\n                page_content=str(exc),\\n                metadata={\\\"source\\\": url, \\\"headers\\\": headers, \\\"status_code\\\": 500},\\n            )\\n\\n    def build(\\n        self,\\n        method: str,\\n        document: Document,\\n        url: str,\\n        headers: Optional[dict] = None,\\n    ) -> List[Document]:\\n        if headers is None:\\n            headers = {}\\n\\n        if not isinstance(document, list) and isinstance(document, Document):\\n            documents: list[Document] = [document]\\n        elif isinstance(document, list) and all(isinstance(doc, Document) for doc in document):\\n            documents = document\\n        else:\\n            raise ValueError(\\\"document must be a Document or a list of Documents\\\")\\n\\n        with requests.Session() as session:\\n            documents = [self.update_document(session, doc, url, headers, method) for doc in documents]\\n            self.repr_value = documents\\n        return documents\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"headers\":{\"type\":\"NestedDict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"headers\",\"display_name\":\"Headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"The headers to send with the request.\"},\"method\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"PATCH\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"PATCH\",\"PUT\"],\"name\":\"method\",\"display_name\":\"Method\",\"advanced\":false,\"dynamic\":false,\"info\":\"The HTTP method to use.\"},\"url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"The URL to make the request to.\"},\"_type\":\"CustomComponent\"},\"description\":\"Make a PATCH request to the given URL.\",\"base_classes\":[\"Document\"],\"display_name\":\"Update Request\",\"documentation\":\"https://docs.langflow.org/components/utilities#update-request\",\"custom_fields\":{\"document\":null,\"headers\":null,\"method\":null,\"url\":null},\"output_types\":[\"UpdateRequest\"],\"field_formatters\":{},\"beta\":true},\"PostRequest\":{\"template\":{\"document\":{\"type\":\"Document\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"document\",\"display_name\":\"Document\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langchain.schema import Document\\nfrom langflow.services.database.models.base import orjson_dumps\\nimport requests\\nfrom typing import Optional\\n\\n\\nclass PostRequest(CustomComponent):\\n    display_name: str = \\\"POST Request\\\"\\n    description: str = \\\"Make a POST request to the given URL.\\\"\\n    output_types: list[str] = [\\\"Document\\\"]\\n    documentation: str = \\\"https://docs.langflow.org/components/utilities#post-request\\\"\\n    beta: bool = True\\n    field_config = {\\n        \\\"url\\\": {\\\"display_name\\\": \\\"URL\\\", \\\"info\\\": \\\"The URL to make the request to.\\\"},\\n        \\\"headers\\\": {\\n            \\\"display_name\\\": \\\"Headers\\\",\\n            \\\"info\\\": \\\"The headers to send with the request.\\\",\\n        },\\n        \\\"code\\\": {\\\"show\\\": False},\\n        \\\"document\\\": {\\\"display_name\\\": \\\"Document\\\"},\\n    }\\n\\n    def post_document(\\n        self,\\n        session: requests.Session,\\n        document: Document,\\n        url: str,\\n        headers: Optional[dict] = None,\\n    ) -> Document:\\n        try:\\n            response = session.post(url, headers=headers, data=document.page_content)\\n            try:\\n                response_json = response.json()\\n                result = orjson_dumps(response_json, indent_2=False)\\n            except Exception:\\n                result = response.text\\n            self.repr_value = result\\n            return Document(\\n                page_content=result,\\n                metadata={\\n                    \\\"source\\\": url,\\n                    \\\"headers\\\": headers,\\n                    \\\"status_code\\\": response,\\n                },\\n            )\\n        except Exception as exc:\\n            return Document(\\n                page_content=str(exc),\\n                metadata={\\n                    \\\"source\\\": url,\\n                    \\\"headers\\\": headers,\\n                    \\\"status_code\\\": 500,\\n                },\\n            )\\n\\n    def build(\\n        self,\\n        document: Document,\\n        url: str,\\n        headers: Optional[dict] = None,\\n    ) -> list[Document]:\\n        if headers is None:\\n            headers = {}\\n\\n        if not isinstance(document, list) and isinstance(document, Document):\\n            documents: list[Document] = [document]\\n        elif isinstance(document, list) and all(isinstance(doc, Document) for doc in document):\\n            documents = document\\n        else:\\n            raise ValueError(\\\"document must be a Document or a list of Documents\\\")\\n\\n        with requests.Session() as session:\\n            documents = [self.post_document(session, doc, url, headers) for doc in documents]\\n            self.repr_value = documents\\n        return documents\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"headers\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"headers\",\"display_name\":\"Headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"The headers to send with the request.\"},\"url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"The URL to make the request to.\"},\"_type\":\"CustomComponent\"},\"description\":\"Make a POST request to the given URL.\",\"base_classes\":[\"Document\"],\"display_name\":\"POST Request\",\"documentation\":\"https://docs.langflow.org/components/utilities#post-request\",\"custom_fields\":{\"document\":null,\"headers\":null,\"url\":null},\"output_types\":[\"PostRequest\"],\"field_formatters\":{},\"beta\":true}},\"output_parsers\":{\"ResponseSchema\":{\"template\":{\"description\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"fileTypes\":[],\"password\":false,\"name\":\"description\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"type\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"string\",\"fileTypes\":[],\"password\":false,\"name\":\"type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ResponseSchema\"},\"description\":\"A schema for a response from a structured output parser.\",\"base_classes\":[\"ResponseSchema\"],\"display_name\":\"ResponseSchema\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/output_parsers/structured\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"StructuredOutputParser\":{\"template\":{\"response_schemas\":{\"type\":\"ResponseSchema\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"response_schemas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"StructuredOutputParser\"},\"description\":\"\",\"base_classes\":[\"BaseLLMOutputParser\",\"BaseOutputParser\",\"StructuredOutputParser\"],\"display_name\":\"StructuredOutputParser\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/output_parsers/structured\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false}},\"retrievers\":{\"MultiQueryRetriever\":{\"template\":{\"llm\":{\"type\":\"BaseLLM\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"prompt\":{\"type\":\"PromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{\"input_variables\":[\"question\"],\"input_types\":{},\"output_parser\":null,\"partial_variables\":{},\"template\":\"You are an AI language model assistant. Your task is \\n    to generate 3 different versions of the given user \\n    question to retrieve relevant documents from a vector  database. \\n    By generating multiple perspectives on the user question, \\n    your goal is to help the user overcome some of the limitations \\n    of distance-based similarity search. Provide these alternative \\n    questions separated by newlines. Original question: {question}\",\"template_format\":\"f-string\",\"validate_template\":false},\"fileTypes\":[],\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"retriever\":{\"type\":\"BaseRetriever\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"include_original\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"include_original\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"parser_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"lines\",\"fileTypes\":[],\"password\":false,\"name\":\"parser_key\",\"display_name\":\"Parser Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"MultiQueryRetriever\"},\"description\":\"Initialize from llm using default template.\",\"base_classes\":[\"MultiQueryRetriever\",\"BaseRetriever\"],\"display_name\":\"MultiQueryRetriever\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/retrievers/how_to/MultiQueryRetriever\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"AmazonKendra\":{\"template\":{\"attribute_filter\":{\"type\":\"code\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"attribute_filter\",\"display_name\":\"Attribute Filter\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.retrievers import AmazonKendraRetriever\\nfrom langchain.schema import BaseRetriever\\n\\n\\nclass AmazonKendraRetrieverComponent(CustomComponent):\\n    display_name: str = \\\"Amazon Kendra Retriever\\\"\\n    description: str = \\\"Retriever that uses the Amazon Kendra API.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"index_id\\\": {\\\"display_name\\\": \\\"Index ID\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"Region Name\\\"},\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"attribute_filter\\\": {\\n                \\\"display_name\\\": \\\"Attribute Filter\\\",\\n                \\\"field_type\\\": \\\"code\\\",\\n            },\\n            \\\"top_k\\\": {\\\"display_name\\\": \\\"Top K\\\", \\\"field_type\\\": \\\"int\\\"},\\n            \\\"user_context\\\": {\\n                \\\"display_name\\\": \\\"User Context\\\",\\n                \\\"field_type\\\": \\\"code\\\",\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        index_id: str,\\n        top_k: int = 3,\\n        region_name: Optional[str] = None,\\n        credentials_profile_name: Optional[str] = None,\\n        attribute_filter: Optional[dict] = None,\\n        user_context: Optional[dict] = None,\\n    ) -> BaseRetriever:\\n        try:\\n            output = AmazonKendraRetriever(\\n                index_id=index_id,\\n                top_k=top_k,\\n                region_name=region_name,\\n                credentials_profile_name=credentials_profile_name,\\n                attribute_filter=attribute_filter,\\n                user_context=user_context,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonKendra API.\\\") from e\\n        return output\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"credentials_profile_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"index_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"index_id\",\"display_name\":\"Index ID\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"region_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"region_name\",\"display_name\":\"Region Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"top_k\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":3,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_k\",\"display_name\":\"Top K\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"user_context\":{\"type\":\"code\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"user_context\",\"display_name\":\"User Context\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Retriever that uses the Amazon Kendra API.\",\"base_classes\":[\"BaseRetriever\"],\"display_name\":\"Amazon Kendra Retriever\",\"documentation\":\"\",\"custom_fields\":{\"attribute_filter\":null,\"credentials_profile_name\":null,\"index_id\":null,\"region_name\":null,\"top_k\":null,\"user_context\":null},\"output_types\":[\"AmazonKendra\"],\"field_formatters\":{},\"beta\":true},\"MetalRetriever\":{\"template\":{\"api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_key\",\"display_name\":\"API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"client_id\",\"display_name\":\"Client ID\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.retrievers import MetalRetriever\\nfrom langchain.schema import BaseRetriever\\nfrom metal_sdk.metal import Metal  # type: ignore\\n\\n\\nclass MetalRetrieverComponent(CustomComponent):\\n    display_name: str = \\\"Metal Retriever\\\"\\n    description: str = \\\"Retriever that uses the Metal API.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"api_key\\\": {\\\"display_name\\\": \\\"API Key\\\", \\\"password\\\": True},\\n            \\\"client_id\\\": {\\\"display_name\\\": \\\"Client ID\\\", \\\"password\\\": True},\\n            \\\"index_id\\\": {\\\"display_name\\\": \\\"Index ID\\\"},\\n            \\\"params\\\": {\\\"display_name\\\": \\\"Parameters\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(self, api_key: str, client_id: str, index_id: str, params: Optional[dict] = None) -> BaseRetriever:\\n        try:\\n            metal = Metal(api_key=api_key, client_id=client_id, index_id=index_id)\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to Metal API.\\\") from e\\n        return MetalRetriever(client=metal, params=params or {})\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"index_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"index_id\",\"display_name\":\"Index ID\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"params\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"params\",\"display_name\":\"Parameters\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Retriever that uses the Metal API.\",\"base_classes\":[\"BaseRetriever\"],\"display_name\":\"Metal Retriever\",\"documentation\":\"\",\"custom_fields\":{\"api_key\":null,\"client_id\":null,\"index_id\":null,\"params\":null},\"output_types\":[\"MetalRetriever\"],\"field_formatters\":{},\"beta\":true}},\"custom_components\":{\"CustomComponent\":{\"template\":{\"param\":{\"type\":\"Data\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"param\",\"display_name\":\"Parameter\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\n\\nclass Component(CustomComponent):\\n    documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n    def build_config(self):\\n        return {\\\"param\\\": {\\\"display_name\\\": \\\"Parameter\\\"}}\\n\\n    def build(self, param: Data) -> Data:\\n        return param\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"base_classes\":[\"Data\"],\"display_name\":\"CustomComponent\",\"documentation\":\"http://docs.langflow.org/components/custom\",\"custom_fields\":{\"param\":null},\"output_types\":[\"CustomComponent\"],\"field_formatters\":{},\"beta\":true}}}"
+          },
+          "headersSize": -1,
+          "bodySize": -1,
+          "redirectURL": ""
+        },
+        "cache": {},
+        "timings": { "send": -1, "wait": -1, "receive": 0.901 }
+      },
+      {
+        "startedDateTime": "2023-12-11T18:54:58.423Z",
+        "time": 0.527,
+        "request": {
+          "method": "GET",
+          "url": "http://localhost:3000/api/v1/auto_login",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            { "name": "Accept", "value": "application/json, text/plain, */*" },
+            { "name": "Accept-Encoding", "value": "gzip, deflate, br" },
+            { "name": "Accept-Language", "value": "en-US,en;q=0.9" },
+            {
+              "name": "Authorization",
+              "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20"
+            },
+            { "name": "Connection", "value": "keep-alive" },
+            {
+              "name": "Cookie",
+              "value": "access_tkn_lflw=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20; refresh_tkn_lflw=auto"
+            },
+            { "name": "Host", "value": "localhost:3000" },
+            { "name": "Referer", "value": "http://localhost:3000/flows" },
+            { "name": "Sec-Fetch-Dest", "value": "empty" },
+            { "name": "Sec-Fetch-Mode", "value": "cors" },
+            { "name": "Sec-Fetch-Site", "value": "same-origin" },
+            {
+              "name": "User-Agent",
+              "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36"
+            },
+            {
+              "name": "sec-ch-ua",
+              "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\""
+            },
+            { "name": "sec-ch-ua-mobile", "value": "?0" },
+            { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
+          ],
+          "queryString": [],
+          "headersSize": -1,
+          "bodySize": -1
+        },
+        "response": {
+          "status": 200,
+          "statusText": "OK",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            { "name": "Access-Control-Allow-Origin", "value": "*" },
+            { "name": "connection", "value": "close" },
+            { "name": "content-length", "value": "227" },
+            { "name": "content-type", "value": "application/json" },
+            { "name": "date", "value": "Mon, 11 Dec 2023 18:54:58 GMT" },
+            { "name": "server", "value": "uvicorn" }
+          ],
+          "content": {
+            "size": -1,
+            "mimeType": "application/json",
+            "text": "{\"access_token\":\"eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20\",\"refresh_token\":null,\"token_type\":\"bearer\"}"
+          },
+          "headersSize": -1,
+          "bodySize": -1,
+          "redirectURL": ""
+        },
+        "cache": {},
+        "timings": { "send": -1, "wait": -1, "receive": 0.527 }
+      },
+      {
+        "startedDateTime": "2023-12-11T18:55:08.881Z",
+        "time": 0.635,
+        "request": {
+          "method": "GET",
+          "url": "http://localhost:3000/api/v1/build/2920dde2-5c24-4fe0-9c06-ef86b5a16a99/status",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            { "name": "Accept", "value": "application/json, text/plain, */*" },
+            { "name": "Accept-Encoding", "value": "gzip, deflate, br" },
+            { "name": "Accept-Language", "value": "en-US,en;q=0.9" },
+            {
+              "name": "Authorization",
+              "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20"
+            },
+            { "name": "Connection", "value": "keep-alive" },
+            {
+              "name": "Cookie",
+              "value": "access_tkn_lflw=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20; refresh_tkn_lflw=auto"
+            },
+            { "name": "Host", "value": "localhost:3000" },
+            {
+              "name": "Referer",
+              "value": "http://localhost:3000/flow/2920dde2-5c24-4fe0-9c06-ef86b5a16a99"
+            },
+            { "name": "Sec-Fetch-Dest", "value": "empty" },
+            { "name": "Sec-Fetch-Mode", "value": "cors" },
+            { "name": "Sec-Fetch-Site", "value": "same-origin" },
+            {
+              "name": "User-Agent",
+              "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36"
+            },
+            {
+              "name": "sec-ch-ua",
+              "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\""
+            },
+            { "name": "sec-ch-ua-mobile", "value": "?0" },
+            { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
+          ],
+          "queryString": [],
+          "headersSize": -1,
+          "bodySize": -1
+        },
+        "response": {
+          "status": 200,
+          "statusText": "OK",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            { "name": "Access-Control-Allow-Origin", "value": "*" },
+            { "name": "connection", "value": "close" },
+            { "name": "content-length", "value": "15" },
+            { "name": "content-type", "value": "application/json" },
+            { "name": "date", "value": "Mon, 11 Dec 2023 18:55:08 GMT" },
+            { "name": "server", "value": "uvicorn" }
+          ],
+          "content": {
+            "size": -1,
+            "mimeType": "application/json",
+            "text": "{\"built\":false}"
+          },
+          "headersSize": -1,
+          "bodySize": -1,
+          "redirectURL": ""
+        },
+        "cache": {},
+        "timings": { "send": -1, "wait": -1, "receive": 0.635 }
+      },
+      {
+        "startedDateTime": "2023-12-11T18:55:08.881Z",
+        "time": 1.309,
+        "request": {
+          "method": "GET",
+          "url": "http://localhost:3000/api/v1/flows/",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            { "name": "Accept", "value": "application/json, text/plain, */*" },
+            { "name": "Accept-Encoding", "value": "gzip, deflate, br" },
+            { "name": "Accept-Language", "value": "en-US,en;q=0.9" },
+            {
+              "name": "Authorization",
+              "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20"
+            },
+            { "name": "Connection", "value": "keep-alive" },
+            {
+              "name": "Cookie",
+              "value": "access_tkn_lflw=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20; refresh_tkn_lflw=auto"
+            },
+            { "name": "Host", "value": "localhost:3000" },
+            {
+              "name": "Referer",
+              "value": "http://localhost:3000/flow/2920dde2-5c24-4fe0-9c06-ef86b5a16a99"
+            },
+            { "name": "Sec-Fetch-Dest", "value": "empty" },
+            { "name": "Sec-Fetch-Mode", "value": "cors" },
+            { "name": "Sec-Fetch-Site", "value": "same-origin" },
+            {
+              "name": "User-Agent",
+              "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36"
+            },
+            {
+              "name": "sec-ch-ua",
+              "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\""
+            },
+            { "name": "sec-ch-ua-mobile", "value": "?0" },
+            { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
+          ],
+          "queryString": [],
+          "headersSize": -1,
+          "bodySize": -1
+        },
+        "response": {
+          "status": 200,
+          "statusText": "OK",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            { "name": "Access-Control-Allow-Origin", "value": "*" },
+            { "name": "connection", "value": "close" },
+            { "name": "content-length", "value": "375696" },
+            { "name": "content-type", "value": "application/json" },
+            { "name": "date", "value": "Mon, 11 Dec 2023 18:55:08 GMT" },
+            { "name": "server", "value": "uvicorn" }
+          ],
+          "content": {
+            "size": -1,
+            "mimeType": "application/json",
+            "text": "[{\"name\":\"Awesome Euclid\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":374,\"id\":\"PromptTemplate-m2yFu\",\"type\":\"genericNode\",\"position\":{\"x\":462.6456058272081,\"y\":1033.9314297130313},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"transcription\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"create an image prompt based on the song's lyrics to be used as the album cover of this song:\\n\\nlyrics:\\n{transcription}\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"transcription\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"transcription\",\"display_name\":\"transcription\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"PromptTemplate\",\"StringPromptTemplate\",\"BasePromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"transcription\"],\"template\":[\"transcription\",\"question\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-m2yFu\"},\"selected\":false,\"positionAbsolute\":{\"x\":462.6456058272081,\"y\":1033.9314297130313},\"dragging\":false},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-urapv\",\"type\":\"genericNode\",\"position\":{\"x\":189.94856095084924,\"y\":-85.06556385338186},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-urapv\"},\"selected\":false,\"positionAbsolute\":{\"x\":189.94856095084924,\"y\":-85.06556385338186},\"dragging\":false},{\"width\":384,\"height\":806,\"id\":\"CustomComponent-IEIUl\",\"type\":\"genericNode\",\"position\":{\"x\":2364.865919667005,\"y\":88.43094097025096},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nfrom platformdirs import user_cache_dir\\nimport base64\\nfrom PIL import Image\\nfrom io import BytesIO\\nfrom openai import OpenAI\\nfrom pathlib import Path\\n\\nclass Component(CustomComponent):\\n    display_name: str = \\\"Image generator\\\"\\n    description: str = \\\"generate images using Dall-E\\\"\\n    documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n    def build_config(self):\\n        return {\\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\",\\\"input_types\\\":[\\\"str\\\"]},\\n        \\\"api_key\\\":{\\\"display_name\\\":\\\"OpenAI API key\\\",\\\"password\\\":True},\\n        \\\"model\\\":{\\\"display_name\\\":\\\"Model name\\\",\\\"advanced\\\":True,\\\"options\\\":[\\\"dall-e-2\\\",\\\"dall-e-3\\\"], \\\"value\\\":\\\"dall-e-3\\\"},\\n        \\\"file_name\\\":{\\\"display_name\\\":\\\"File Name\\\"},\\n        \\\"output_format\\\":{\\\"display_name\\\":\\\"Output format\\\",\\\"options\\\":[\\\"jpeg\\\",\\\"png\\\"],\\\"value\\\":\\\"jpeg\\\"},\\n        \\\"width\\\":{\\\"display_name\\\":\\\"Width\\\" ,\\\"value\\\":1024},\\n        \\\"height\\\":{\\\"display_name\\\":\\\"Height\\\", \\\"value\\\":1024}\\n        }\\n\\n    def build(self, prompt:str,api_key:str,model:str,file_name:str,output_format:str,width:int,height:int):\\n        client = OpenAI(api_key=api_key)\\n        cache_dir = Path(user_cache_dir(\\\"langflow\\\"))\\n        images_dir = cache_dir / \\\"images\\\"\\n        images_dir.mkdir(parents=True, exist_ok=True)\\n        image_path = images_dir / f\\\"{file_name}.{output_format}\\\"\\n        response = client.images.generate(\\n          model=model,\\n          prompt=prompt,\\n          size=f\\\"{height}x{width}\\\",\\n          response_format=\\\"b64_json\\\",\\n          n=1,\\n        )\\n        # Decode base64-encoded image string\\n        binary_data = base64.b64decode(response.data[0].b64_json)\\n        # Create PIL Image object from binary image data\\n        image_pil = Image.open(BytesIO(binary_data))\\n        image_pil.save(image_path, format=output_format.upper())\\n        return \\\"\\\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"api_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"api_key\",\"display_name\":\"OpenAI API key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"file_name\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"file_name\",\"display_name\":\"File Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"album\"},\"height\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1024,\"password\":false,\"name\":\"height\",\"display_name\":\"Height\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"dall-e-3\",\"password\":false,\"options\":[\"dall-e-2\",\"dall-e-3\"],\"name\":\"model\",\"display_name\":\"Model name\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"output_format\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"jpeg\",\"password\":false,\"options\":[\"jpeg\",\"png\"],\"name\":\"output_format\",\"display_name\":\"Output format\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"input_types\":[\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"width\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1024,\"password\":false,\"name\":\"width\",\"display_name\":\"Width\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false}},\"description\":\"generate images using Dall-E\",\"base_classes\":[\"Data\"],\"display_name\":\"Image generator\",\"custom_fields\":{\"api_key\":null,\"file_name\":null,\"height\":null,\"model\":null,\"output_format\":null,\"prompt\":null,\"width\":null},\"output_types\":[\"Data\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-IEIUl\"},\"selected\":false,\"positionAbsolute\":{\"x\":2364.865919667005,\"y\":88.43094097025096}},{\"width\":384,\"height\":338,\"id\":\"LLMChain-KlJb3\",\"type\":\"genericNode\",\"position\":{\"x\":1242.9851164540805,\"y\":-139.74634696823108},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-KlJb3\"},\"selected\":false,\"positionAbsolute\":{\"x\":1242.9851164540805,\"y\":-139.74634696823108},\"dragging\":false},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-bCuc0\",\"type\":\"genericNode\",\"position\":{\"x\":1747.8107777342625,\"y\":319.13729017446667},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\n\\nclass Component(CustomComponent):\\n    display_name: str = \\\"Custom Component\\\"\\n    description: str = \\\"Create any custom component you want!\\\"\\n    documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n    def build_config(self):\\n        return {\\\"param\\\": {\\\"display_name\\\": \\\"Parameter\\\"}}\\n\\n    def build(self, param: Chain) -> str:\\n        result = param.run({})\\n        self.status = result\\n        return result\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"param\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"param\",\"display_name\":\"Parameter\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Chain\",\"list\":false}},\"description\":\"Create any custom component you want!\",\"base_classes\":[\"str\"],\"display_name\":\"Custom Component\",\"custom_fields\":{\"param\":null},\"output_types\":[\"str\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-bCuc0\"},\"selected\":false,\"positionAbsolute\":{\"x\":1747.8107777342625,\"y\":319.13729017446667}}],\"edges\":[{\"source\":\"LLMChain-KlJb3\",\"target\":\"CustomComponent-bCuc0\",\"sourceHandle\":\"{œbaseClassesœ:[œChainœ,œCallableœ],œdataTypeœ:œLLMChainœ,œidœ:œLLMChain-KlJb3œ}\",\"targetHandle\":\"{œfieldNameœ:œparamœ,œidœ:œCustomComponent-bCuc0œ,œinputTypesœ:null,œtypeœ:œChainœ}\",\"id\":\"reactflow__edge-LLMChain-KlJb3{œbaseClassesœ:[œChainœ,œCallableœ],œdataTypeœ:œLLMChainœ,œidœ:œLLMChain-KlJb3œ}-CustomComponent-bCuc0{œfieldNameœ:œparamœ,œidœ:œCustomComponent-bCuc0œ,œinputTypesœ:null,œtypeœ:œChainœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"param\",\"id\":\"CustomComponent-bCuc0\",\"inputTypes\":null,\"type\":\"Chain\"},\"sourceHandle\":{\"baseClasses\":[\"Chain\",\"Callable\"],\"dataType\":\"LLMChain\",\"id\":\"LLMChain-KlJb3\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"ChatOpenAI-urapv\",\"target\":\"LLMChain-KlJb3\",\"sourceHandle\":\"{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-urapvœ}\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"id\":\"reactflow__edge-ChatOpenAI-urapv{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-urapvœ}-LLMChain-KlJb3{œfieldNameœ:œllmœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-KlJb3\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-urapv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"PromptTemplate-m2yFu\",\"target\":\"LLMChain-KlJb3\",\"sourceHandle\":\"{œbaseClassesœ:[œPromptTemplateœ,œStringPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-m2yFuœ}\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"id\":\"reactflow__edge-PromptTemplate-m2yFu{œbaseClassesœ:[œPromptTemplateœ,œStringPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-m2yFuœ}-LLMChain-KlJb3{œfieldNameœ:œpromptœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-KlJb3\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"PromptTemplate\",\"StringPromptTemplate\",\"BasePromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-m2yFu\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"CustomComponent-bCuc0\",\"target\":\"CustomComponent-IEIUl\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-bCuc0œ}\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œCustomComponent-IEIUlœ,œinputTypesœ:[œstrœ],œtypeœ:œstrœ}\",\"id\":\"reactflow__edge-CustomComponent-bCuc0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-bCuc0œ}-CustomComponent-IEIUl{œfieldNameœ:œpromptœ,œidœ:œCustomComponent-IEIUlœ,œinputTypesœ:[œstrœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"CustomComponent-IEIUl\",\"inputTypes\":[\"str\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-bCuc0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"selected\":false}],\"viewport\":{\"x\":92.23454077990459,\"y\":183.8125619056221,\"zoom\":0.6070974421975234}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:33:18.503954\",\"folder\":null,\"id\":\"fe142ce5-32dc-4955-b186-672ced662f13\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Darwin\",\"description\":\"Conversation Catalyst Engine.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":626,\"id\":\"OpenAI-3ZVDh\",\"type\":\"genericNode\",\"position\":{\"x\":-4.0041891741949485,\"y\":-114.02615182719649},\"data\":{\"type\":\"OpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"batch_size\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":20,\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"best_of\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"best_of\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"frequency_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"frequency_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"logit_bias\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"logit_bias\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":256,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-davinci-003\",\"password\":false,\"options\":[\"text-davinci-003\",\"text-davinci-002\",\"text-curie-001\",\"text-babbage-001\",\"text-ada-001\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"sk-...\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"presence_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"presence_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"top_p\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"top_p\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"OpenAI\"},\"description\":\"OpenAI large language models.\",\"base_classes\":[\"OpenAI\",\"BaseLLM\",\"BaseOpenAI\",\"BaseLanguageModel\"],\"display_name\":\"OpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAI-3ZVDh\"},\"selected\":true,\"positionAbsolute\":{\"x\":-4.0041891741949485,\"y\":-114.02615182719649},\"dragging\":false},{\"width\":384,\"height\":338,\"id\":\"LLMChain-RFYXY\",\"type\":\"genericNode\",\"position\":{\"x\":586.672100458868,\"y\":10.967049167706678},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-RFYXY\"},\"positionAbsolute\":{\"x\":586.672100458868,\"y\":10.967049167706678}},{\"width\":384,\"height\":242,\"id\":\"ChatPromptTemplate-ce1sg\",\"type\":\"genericNode\",\"position\":{\"x\":395.598984452791,\"y\":612.188491773035},\"data\":{\"type\":\"ChatPromptTemplate\",\"node\":{\"template\":{\"messages\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"messages\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseMessagePromptTemplate\",\"list\":true},\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatPromptTemplate\"},\"description\":\"A prompt template for chat models.\",\"base_classes\":[\"ChatPromptTemplate\",\"BaseChatPromptTemplate\",\"BasePromptTemplate\"],\"display_name\":\"ChatPromptTemplate\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/how_to/prompts\",\"beta\":false,\"error\":null},\"id\":\"ChatPromptTemplate-ce1sg\"},\"selected\":false,\"positionAbsolute\":{\"x\":395.598984452791,\"y\":612.188491773035},\"dragging\":false}],\"edges\":[{\"source\":\"OpenAI-3ZVDh\",\"sourceHandle\":\"{œbaseClassesœ:[œOpenAIœ,œBaseLLMœ,œBaseOpenAIœ,œBaseLanguageModelœ],œdataTypeœ:œOpenAIœ,œidœ:œOpenAI-3ZVDhœ}\",\"target\":\"LLMChain-RFYXY\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-RFYXY\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"OpenAI\",\"BaseLLM\",\"BaseOpenAI\",\"BaseLanguageModel\"],\"dataType\":\"OpenAI\",\"id\":\"OpenAI-3ZVDh\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-OpenAI-3ZVDh{œbaseClassesœ:[œOpenAIœ,œBaseLLMœ,œBaseOpenAIœ,œBaseLanguageModelœ],œdataTypeœ:œOpenAIœ,œidœ:œOpenAI-3ZVDhœ}-LLMChain-RFYXY{œfieldNameœ:œllmœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\"},{\"source\":\"ChatPromptTemplate-ce1sg\",\"sourceHandle\":\"{œbaseClassesœ:[œChatPromptTemplateœ,œBaseChatPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œChatPromptTemplateœ,œidœ:œChatPromptTemplate-ce1sgœ}\",\"target\":\"LLMChain-RFYXY\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-RFYXY\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"ChatPromptTemplate\",\"BaseChatPromptTemplate\",\"BasePromptTemplate\"],\"dataType\":\"ChatPromptTemplate\",\"id\":\"ChatPromptTemplate-ce1sg\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatPromptTemplate-ce1sg{œbaseClassesœ:[œChatPromptTemplateœ,œBaseChatPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œChatPromptTemplateœ,œidœ:œChatPromptTemplate-ce1sgœ}-LLMChain-RFYXY{œfieldNameœ:œpromptœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":8.832868402772647,\"y\":189.85443326477025,\"zoom\":0.6070974421975235}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:50:19.584160\",\"folder\":null,\"id\":\"103766f0-1f50-427a-9ba7-2ab73343c524\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Perky Easley\",\"description\":\"Your Toolkit for Text Generation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-VPh47\",\"type\":\"genericNode\",\"position\":{\"x\":-328.5742193020408,\"y\":-420.1025929438987},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-3.5-turbo\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"sk-...\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseChatModel\",\"ChatOpenAI\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-VPh47\"},\"selected\":false,\"positionAbsolute\":{\"x\":-328.5742193020408,\"y\":-420.1025929438987},\"dragging\":false},{\"width\":384,\"height\":338,\"id\":\"LLMChain-NgFyo\",\"type\":\"genericNode\",\"position\":{\"x\":225.3113389084088,\"y\":-193.3520019494289},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-NgFyo\"},\"selected\":false,\"positionAbsolute\":{\"x\":225.3113389084088,\"y\":-193.3520019494289},\"dragging\":false},{\"width\":384,\"height\":374,\"id\":\"PromptTemplate-oAFjh\",\"type\":\"genericNode\",\"position\":{\"x\":-342.62522294052764,\"y\":391.20629510686103},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"links\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Answer everything with links\\n{links}\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"links\",\"display_name\":\"links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"BasePromptTemplate\",\"StringPromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"links\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-oAFjh\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-342.62522294052764,\"y\":391.20629510686103}}],\"edges\":[{\"source\":\"ChatOpenAI-VPh47\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VPh47œ}\",\"target\":\"LLMChain-NgFyo\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-NgFyo\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseChatModel\",\"ChatOpenAI\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-VPh47\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-VPh47{œbaseClassesœ:[œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VPh47œ}-LLMChain-NgFyo{œfieldNameœ:œllmœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\"},{\"source\":\"PromptTemplate-oAFjh\",\"sourceHandle\":\"{œbaseClassesœ:[œBasePromptTemplateœ,œStringPromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-oAFjhœ}\",\"target\":\"LLMChain-NgFyo\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-NgFyo\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"BasePromptTemplate\",\"StringPromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-oAFjh\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-PromptTemplate-oAFjh{œbaseClassesœ:[œBasePromptTemplateœ,œStringPromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-oAFjhœ}-LLMChain-NgFyo{œfieldNameœ:œpromptœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":338.6546182690814,\"y\":53.026340800283265,\"zoom\":0.7169776240079143}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:53:25.148460\",\"folder\":null,\"id\":\"a794fc48-5e9b-42a3-924f-7fe610500035\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"(D) Basic Chat (1) (4)\",\"description\":\"Simplest possible chat model\",\"data\":{\"nodes\":[{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-fBcfh\",\"type\":\"genericNode\",\"position\":{\"x\":228.87326389541306,\"y\":465.8628482073749},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-3.5-turbo\",\"password\":false,\"options\":[\"gpt-3.5-turbo-0613\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k-0613\",\"gpt-3.5-turbo-16k\",\"gpt-4-0613\",\"gpt-4-32k-0613\",\"gpt-4\",\"gpt-4-32k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"sk-...\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false,\"value\":60},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseChatModel\",\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\"},\"id\":\"ChatOpenAI-fBcfh\",\"value\":null},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":228.87326389541306,\"y\":465.8628482073749}},{\"width\":384,\"height\":310,\"id\":\"ConversationChain-bVNex\",\"type\":\"genericNode\",\"position\":{\"x\":806,\"y\":554},\"data\":{\"type\":\"ConversationChain\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":{\"_type\":\"default\"},\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLMOutputParser\",\"list\":false},\"prompt\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":{\"input_variables\":[\"history\",\"input\"],\"output_parser\":null,\"partial_variables\":{},\"template\":\"The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.\\n\\nCurrent conversation:\\n{history}\\nHuman: {input}\\nAI:\",\"template_format\":\"f-string\",\"validate_template\":true,\"_type\":\"prompt\"},\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false},\"input_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"input\",\"password\":false,\"name\":\"input_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"llm_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"llm_kwargs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"output_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"response\",\"password\":false,\"name\":\"output_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"return_final_only\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":true,\"password\":false,\"name\":\"return_final_only\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ConversationChain\"},\"description\":\"Chain to have a conversation and load context from memory.\",\"base_classes\":[\"ConversationChain\",\"Chain\",\"LLMChain\",\"function\"],\"display_name\":\"ConversationChain\",\"documentation\":\"\"},\"id\":\"ConversationChain-bVNex\",\"value\":null},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":806,\"y\":554}}],\"edges\":[{\"source\":\"ChatOpenAI-fBcfh\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseChatModelœ,œBaseLanguageModelœ,œChatOpenAIœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-fBcfhœ}\",\"target\":\"ConversationChain-bVNex\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œConversationChain-bVNexœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"className\":\"stroke-gray-900  stroke-connection\",\"id\":\"reactflow__edge-ChatOpenAI-fBcfh{œbaseClassesœ:[œBaseChatModelœ,œBaseLanguageModelœ,œChatOpenAIœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-fBcfhœ}-ConversationChain-bVNex{œfieldNameœ:œllmœ,œidœ:œConversationChain-bVNexœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"BaseChatModel\",\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-fBcfh\"},\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"ConversationChain-bVNex\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"}},\"style\":{\"stroke\":\"#555\"},\"animated\":false}],\"viewport\":{\"x\":-118.21416568593895,\"y\":-240.64815770363373,\"zoom\":0.7642485855675408}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:57:55.879806\",\"folder\":null,\"id\":\"bddebeea-b80a-4b28-8895-c4425687dcce\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Directory Loader\",\"description\":\"Generic File Loader\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"import os\\n\\nfrom langchain.schema import Document\\nfrom langflow import CustomComponent\\nimport glob\\n\\nclass DirectoryLoaderComponent(CustomComponent):\\n    display_name: str = \\\"Directory Loader\\\"\\n    description: str = \\\"Generic File Loader\\\"\\n    beta = True\\n    loaders_info = [\\n    {\\n        \\\"loader\\\": \\\"AirbyteJSONLoader\\\",\\n        \\\"name\\\": \\\"Airbyte JSON (.jsonl)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.AirbyteJSONLoader\\\",\\n        \\\"defaultFor\\\": [\\\"jsonl\\\"],\\n        \\\"allowdTypes\\\": [\\\"jsonl\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"JSONLoader\\\",\\n        \\\"name\\\": \\\"JSON (.json)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.JSONLoader\\\",\\n        \\\"defaultFor\\\": [\\\"json\\\"],\\n        \\\"allowdTypes\\\": [\\\"json\\\"],\\n        \\\"kwargs\\\": {\\\"jq_schema\\\": \\\".\\\", \\\"text_content\\\": False}\\n    },\\n    {\\n        \\\"loader\\\": \\\"BSHTMLLoader\\\",\\n        \\\"name\\\": \\\"BeautifulSoup4 HTML (.html, .htm)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.BSHTMLLoader\\\",\\n        \\\"allowdTypes\\\": [\\\"html\\\", \\\"htm\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"CSVLoader\\\",\\n        \\\"name\\\": \\\"CSV (.csv)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.CSVLoader\\\",\\n        \\\"defaultFor\\\": [\\\"csv\\\"],\\n        \\\"allowdTypes\\\": [\\\"csv\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"CoNLLULoader\\\",\\n        \\\"name\\\": \\\"CoNLL-U (.conllu)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.CoNLLULoader\\\",\\n        \\\"defaultFor\\\": [\\\"conllu\\\"],\\n        \\\"allowdTypes\\\": [\\\"conllu\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"EverNoteLoader\\\",\\n        \\\"name\\\": \\\"EverNote (.enex)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.EverNoteLoader\\\",\\n        \\\"defaultFor\\\": [\\\"enex\\\"],\\n        \\\"allowdTypes\\\": [\\\"enex\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"FacebookChatLoader\\\",\\n        \\\"name\\\": \\\"Facebook Chat (.json)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.FacebookChatLoader\\\",\\n        \\\"allowdTypes\\\": [\\\"json\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"OutlookMessageLoader\\\",\\n        \\\"name\\\": \\\"Outlook Message (.msg)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.OutlookMessageLoader\\\",\\n        \\\"defaultFor\\\": [\\\"msg\\\"],\\n        \\\"allowdTypes\\\": [\\\"msg\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"PyPDFLoader\\\",\\n        \\\"name\\\": \\\"PyPDF (.pdf)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.PyPDFLoader\\\",\\n        \\\"defaultFor\\\": [\\\"pdf\\\"],\\n        \\\"allowdTypes\\\": [\\\"pdf\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"STRLoader\\\",\\n        \\\"name\\\": \\\"Subtitle (.str)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.STRLoader\\\",\\n        \\\"defaultFor\\\": [\\\"str\\\"],\\n        \\\"allowdTypes\\\": [\\\"str\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"TextLoader\\\",\\n        \\\"name\\\": \\\"Text (.txt)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.TextLoader\\\",\\n        \\\"defaultFor\\\": [\\\"txt\\\"],\\n        \\\"allowdTypes\\\": [\\\"txt\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredEmailLoader\\\",\\n        \\\"name\\\": \\\"Unstructured Email (.eml)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredEmailLoader\\\",\\n        \\\"defaultFor\\\": [\\\"eml\\\"],\\n        \\\"allowdTypes\\\": [\\\"eml\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredHTMLLoader\\\",\\n        \\\"name\\\": \\\"Unstructured HTML (.html, .htm)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredHTMLLoader\\\",\\n        \\\"defaultFor\\\": [\\\"html\\\", \\\"htm\\\"],\\n        \\\"allowdTypes\\\": [\\\"html\\\", \\\"htm\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredMarkdownLoader\\\",\\n        \\\"name\\\": \\\"Unstructured Markdown (.md)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredMarkdownLoader\\\",\\n        \\\"defaultFor\\\": [\\\"md\\\"],\\n        \\\"allowdTypes\\\": [\\\"md\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredPowerPointLoader\\\",\\n        \\\"name\\\": \\\"Unstructured PowerPoint (.pptx)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredPowerPointLoader\\\",\\n        \\\"defaultFor\\\": [\\\"pptx\\\"],\\n        \\\"allowdTypes\\\": [\\\"pptx\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredWordLoader\\\",\\n        \\\"name\\\": \\\"Unstructured Word (.docx)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredWordLoader\\\",\\n        \\\"defaultFor\\\": [\\\"docx\\\"],\\n        \\\"allowdTypes\\\": [\\\"docx\\\"],\\n    },\\n]\\n\\n\\n    def build_config(self):\\n        loader_options = [\\\"Automatic\\\"] + [\\n            loader_info[\\\"name\\\"] for loader_info in self.loaders_info\\n        ]\\n\\n        file_types = []\\n        suffixes = []\\n\\n        for loader_info in self.loaders_info:\\n            if \\\"allowedTypes\\\" in loader_info:\\n                file_types.extend(loader_info[\\\"allowedTypes\\\"])\\n                suffixes.extend([f\\\".{ext}\\\" for ext in loader_info[\\\"allowedTypes\\\"]])\\n\\n        return {\\n            \\\"directory_path\\\": {\\n                \\\"display_name\\\": \\\"Directory Path\\\",\\n                \\\"required\\\": True,\\n            },\\n            \\\"loader\\\": {\\n                \\\"display_name\\\": \\\"Loader\\\",\\n                \\\"is_list\\\": True,\\n                \\\"required\\\": True,\\n                \\\"options\\\": loader_options,\\n                \\\"value\\\": \\\"Automatic\\\",\\n            },\\n        }\\n\\n    def build(self, directory_path: str, loader: str) -> Document:\\n        # Verifique se o diretório existe\\n        if not os.path.exists(directory_path):\\n            raise ValueError(f\\\"Directory not found: {directory_path}\\\")\\n\\n        files = glob.glob(directory_path + \\\"/*.*\\\")\\n\\n\\n        loader_info = None\\n        if loader == \\\"Automatic\\\":\\n            for file in files:\\n                file_type = file.split(\\\".\\\")[-1]\\n\\n\\n                for info in self.loaders_info:\\n                    if \\\"defaultFor\\\" in info:\\n                        if file_type in info[\\\"defaultFor\\\"]:\\n                            loader_info = info\\n                            break\\n                if loader_info:\\n                    break\\n\\n            if not loader_info:\\n                raise ValueError(\\n                    \\\"No default loader found for any file in the directory\\\"\\n                )\\n\\n        else:\\n            for info in self.loaders_info:\\n                if info[\\\"name\\\"] == loader:\\n                    loader_info = info\\n                    break\\n\\n            if not loader_info:\\n                raise ValueError(f\\\"Loader {loader} not found in the loader info list\\\")\\n\\n        loader_import = loader_info[\\\"import\\\"]\\n        module_name, class_name = loader_import.rsplit(\\\".\\\", 1)\\n\\n        try:\\n            # Importe o loader dinamicamente\\n            loader_module = __import__(module_name, fromlist=[class_name])\\n            loader_instance = getattr(loader_module, class_name)\\n        except ImportError as e:\\n            raise ValueError(\\n                f\\\"Loader {loader} could not be imported\\\\nLoader info:\\\\n{loader_info}\\\"\\n            ) from e\\n\\n        results = []\\n        for file in files:\\n            file_path = os.path.join(directory_path, file)\\n            kwargs = loader_info.get(\\\"kwargs\\\", {})\\n            result = loader_instance(file_path=file_path, **kwargs).load()\\n            results.append(result)\\n        self.status = results\\n        return results\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"directory_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"directory_path\",\"display_name\":\"Directory Path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"/Users/ogabrielluiz/Projects/langflow2/docs\"},\"loader\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"Automatic\",\"password\":false,\"options\":[\"Automatic\",\"Airbyte JSON (.jsonl)\",\"JSON (.json)\",\"BeautifulSoup4 HTML (.html, .htm)\",\"CSV (.csv)\",\"CoNLL-U (.conllu)\",\"EverNote (.enex)\",\"Facebook Chat (.json)\",\"Outlook Message (.msg)\",\"PyPDF (.pdf)\",\"Subtitle (.str)\",\"Text (.txt)\",\"Unstructured Email (.eml)\",\"Unstructured HTML (.html, .htm)\",\"Unstructured Markdown (.md)\",\"Unstructured PowerPoint (.pptx)\",\"Unstructured Word (.docx)\"],\"name\":\"loader\",\"display_name\":\"Loader\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true}},\"description\":\"Generic File Loader\",\"base_classes\":[\"Document\"],\"display_name\":\"Directory Loader\",\"custom_fields\":{\"directory_path\":null,\"loader\":null},\"output_types\":[\"Document\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-Ip6tG\"},\"id\":\"CustomComponent-Ip6tG\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-04T22:58:38.570303\",\"folder\":null,\"id\":\"5fe4debc-b6a7-45d4-a694-c02d8aa93b08\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Whisper Transcriber\",\"description\":\"Converts audio to text using OpenAI's Whisper.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import Optional, List, Dict, Union\\nfrom langflow.field_typing import (\\n    AgentExecutor,\\n    BaseChatMemory,\\n    BaseLanguageModel,\\n    BaseLLM,\\n    BaseLoader,\\n    BaseMemory,\\n    BaseOutputParser,\\n    BasePromptTemplate,\\n    BaseRetriever,\\n    Callable,\\n    Chain,\\n    ChatPromptTemplate,\\n    Data,\\n    Document,\\n    Embeddings,\\n    NestedDict,\\n    Object,\\n    PromptTemplate,\\n    TextSplitter,\\n    Tool,\\n    VectorStore,\\n)\\n\\nfrom openai import OpenAI\\nclass Component(CustomComponent):\\n    display_name: str = \\\"Whisper Transcriber\\\"\\n    description: str = \\\"Converts audio to text using OpenAI's Whisper.\\\"\\n\\n    def build_config(self):\\n        return {\\\"audio\\\":{\\\"field_type\\\":\\\"file\\\",\\\"suffixes\\\":[\\\".mp3\\\", \\\".mp4\\\", \\\".m4a\\\"]},\\\"OpenAIKey\\\":{\\\"field_type\\\":\\\"str\\\",\\\"password\\\":True}}\\n\\n    def build(self, audio:str, OpenAIKey:str) -> str:\\n        \\n        #  TODO: if output path, persist & load it instead\\n        \\n        client = OpenAI(api_key=OpenAIKey)\\n        \\n        audio_file= open(audio, \\\"rb\\\")\\n        transcript = client.audio.transcriptions.create(\\n          model=\\\"whisper-1\\\", \\n          file=audio_file,\\n          response_format=\\\"text\\\"\\n        )\\n        \\n        \\n        self.status = transcript\\n        return transcript\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"OpenAIKey\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"OpenAIKey\",\"display_name\":\"OpenAIKey\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"audio\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"suffixes\":[\".mp3\",\".mp4\",\".m4a\"],\"password\":false,\"name\":\"audio\",\"display_name\":\"audio\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"file_path\":\"/Users/rodrigonader/Library/Caches/langflow/19b3e1c9-90bf-405f-898a-e982f47adf76/a3308ce7e9b10088fcd985aabb6d17b012c6b6e81ff8806356574474c9d10229.m4a\",\"value\":\"Audio Recording 2023-11-29 at 12.12.04.m4a\"}},\"description\":\"Converts audio to text using OpenAI's Whisper.\",\"base_classes\":[\"str\"],\"display_name\":\"Whisper Transcriber\",\"custom_fields\":{\"OpenAIKey\":null,\"audio\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-GJRrs\"},\"id\":\"CustomComponent-GJRrs\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-04T22:58:39.710502\",\"folder\":null,\"id\":\"bd9e911d-46bd-429f-aa75-dd740430695e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Youtube Conversation\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":589,\"id\":\"CustomComponent-h0NSI\",\"type\":\"genericNode\",\"position\":{\"x\":714.9531293402755,\"y\":0.4994374160582993},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"import requests\\nfrom langflow import CustomComponent\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.schema import Document\\nfrom langchain.document_loaders import YoutubeLoader\\n\\n# Example usage:\\n\\nclass YourComponent(CustomComponent):\\n    display_name: str = \\\"YouTube Transcript\\\"\\n    description: str = \\\"YouTube transcripts refer to the written text versions of the spoken content in a video uploaded to the YouTube platform.\\\"\\n\\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"multiline\\\": True, \\\"required\\\": True}}\\n\\n    def build(self, url: str, llm: BaseLLM, dependencies: Document, language: str = \\\"en\\\") -> Document:\\n        dependencies\\n        response = requests.get(url)\\n        loader = YoutubeLoader.from_youtube_url(url, add_video_info=True, language=[language])\\n        result = loader.load()\\n        self.repr_value = str(result)\\n        return result\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"dependencies\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"dependencies\",\"display_name\":\"dependencies\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":false},\"language\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"en\",\"password\":false,\"name\":\"language\",\"display_name\":\"language\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLM\",\"list\":false},\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"YouTube transcripts refer to the written text versions of the spoken content in a video uploaded to the YouTube platform.\",\"base_classes\":[\"Document\"],\"display_name\":\"YouTube Transcript\",\"custom_fields\":{\"dependencies\":null,\"language\":null,\"llm\":null,\"url\":null},\"output_types\":[\"Document\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-h0NSI\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":714.9531293402755,\"y\":0.4994374160582993}},{\"width\":384,\"height\":629,\"id\":\"ChatOpenAI-q61Y2\",\"type\":\"genericNode\",\"position\":{\"x\":18,\"y\":625.5521045590924},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-3.5-turbo-16k\",\"password\":false,\"options\":[\"gpt-3.5-turbo-0613\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k-0613\",\"gpt-3.5-turbo-16k\",\"gpt-4-0613\",\"gpt-4-32k-0613\",\"gpt-4\",\"gpt-4-32k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-q61Y2\"},\"selected\":false,\"positionAbsolute\":{\"x\":18,\"y\":625.5521045590924},\"dragging\":false},{\"width\":384,\"height\":539,\"id\":\"Chroma-gVhy7\",\"type\":\"genericNode\",\"position\":{\"x\":2110.365967257855,\"y\":805.0149521868784},\"data\":{\"type\":\"Chroma\",\"node\":{\"template\":{\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"chromadb.Client\",\"list\":false},\"client_settings\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client_settings\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"chromadb.config.Setting\",\"list\":true},\"documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":true},\"embedding\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Embeddings\",\"list\":false},\"chroma_server_cors_allow_origins\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_cors_allow_origins\",\"display_name\":\"Chroma Server CORS Allow Origins\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"chroma_server_grpc_port\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_grpc_port\",\"display_name\":\"Chroma Server GRPC Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_host\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_host\",\"display_name\":\"Chroma Server Host\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_http_port\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_http_port\",\"display_name\":\"Chroma Server HTTP Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_ssl_enabled\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"chroma_server_ssl_enabled\",\"display_name\":\"Chroma Server SSL Enabled\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"collection_metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"collection_metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"collection_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"langchain\",\"password\":false,\"name\":\"collection_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"ids\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"ids\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"metadatas\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":true},\"persist\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"persist\",\"display_name\":\"Persist\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"persist_directory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"persist_directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"search_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"{}\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"NestedDict\",\"list\":false},\"_type\":\"Chroma\"},\"description\":\"Create a Chroma vectorstore from a raw documents.\",\"base_classes\":[\"VectorStore\",\"Chroma\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"Chroma\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/chroma\",\"beta\":false,\"error\":null},\"id\":\"Chroma-gVhy7\"},\"selected\":false,\"positionAbsolute\":{\"x\":2110.365967257855,\"y\":805.0149521868784},\"dragging\":false},{\"width\":384,\"height\":501,\"id\":\"RecursiveCharacterTextSplitter-1eaOX\",\"type\":\"genericNode\",\"position\":{\"x\":1409.2872773444874,\"y\":19.45456141103284},\"data\":{\"type\":\"RecursiveCharacterTextSplitter\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.schema import Document\\nfrom langflow.utils.util import build_loader_repr_from_documents\\n\\n\\nclass RecursiveCharacterTextSplitterComponent(CustomComponent):\\n    display_name: str = \\\"Recursive Character Text Splitter\\\"\\n    description: str = \\\"Split text into chunks of a specified length.\\\"\\n    documentation: str = \\\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"documents\\\": {\\n                \\\"display_name\\\": \\\"Documents\\\",\\n                \\\"info\\\": \\\"The documents to split.\\\",\\n            },\\n            \\\"separators\\\": {\\n                \\\"display_name\\\": \\\"Separators\\\",\\n                \\\"info\\\": 'The characters to split on.\\\\nIf left empty defaults to [\\\"\\\\\\\\n\\\\\\\\n\\\", \\\"\\\\\\\\n\\\", \\\" \\\", \\\"\\\"].',\\n                \\\"is_list\\\": True,\\n            },\\n            \\\"chunk_size\\\": {\\n                \\\"display_name\\\": \\\"Chunk Size\\\",\\n                \\\"info\\\": \\\"The maximum length of each chunk.\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 1000,\\n            },\\n            \\\"chunk_overlap\\\": {\\n                \\\"display_name\\\": \\\"Chunk Overlap\\\",\\n                \\\"info\\\": \\\"The amount of overlap between chunks.\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 200,\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        documents: list[Document],\\n        separators: Optional[list[str]] = None,\\n        chunk_size: Optional[int] = 1000,\\n        chunk_overlap: Optional[int] = 200,\\n    ) -> list[Document]:\\n        \\\"\\\"\\\"\\n        Split text into chunks of a specified length.\\n\\n        Args:\\n            separators (list[str]): The characters to split on.\\n            chunk_size (int): The maximum length of each chunk.\\n            chunk_overlap (int): The amount of overlap between chunks.\\n            length_function (function): The function to use to calculate the length of the text.\\n\\n        Returns:\\n            list[str]: The chunks of text.\\n        \\\"\\\"\\\"\\n        from langchain.text_splitter import RecursiveCharacterTextSplitter\\n\\n        if separators == \\\"\\\":\\n            separators = None\\n        elif separators:\\n            # check if the separators list has escaped characters\\n            # if there are escaped characters, unescape them\\n            separators = [x.encode().decode(\\\"unicode-escape\\\") for x in separators]\\n\\n        # Make sure chunk_size and chunk_overlap are ints\\n        if isinstance(chunk_size, str):\\n            chunk_size = int(chunk_size)\\n        if isinstance(chunk_overlap, str):\\n            chunk_overlap = int(chunk_overlap)\\n        splitter = RecursiveCharacterTextSplitter(\\n            separators=separators,\\n            chunk_size=chunk_size,\\n            chunk_overlap=chunk_overlap,\\n        )\\n\\n        docs = splitter.split_documents(documents)\\n        self.repr_value = build_loader_repr_from_documents(docs)\\n        return docs\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"chunk_overlap\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"50\",\"password\":false,\"name\":\"chunk_overlap\",\"display_name\":\"Chunk Overlap\",\"advanced\":false,\"dynamic\":false,\"info\":\"The amount of overlap between chunks.\",\"type\":\"int\",\"list\":false},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"400\",\"password\":false,\"name\":\"chunk_size\",\"display_name\":\"Chunk Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"The maximum length of each chunk.\",\"type\":\"int\",\"list\":false},\"documents\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"The documents to split.\",\"type\":\"Document\",\"list\":true},\"separators\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"separators\",\"display_name\":\"Separators\",\"advanced\":false,\"dynamic\":false,\"info\":\"The characters to split on.\\nIf left empty defaults to [\\\"\\\\n\\\\n\\\", \\\"\\\\n\\\", \\\" \\\", \\\"\\\"].\",\"type\":\"str\",\"list\":true,\"value\":[\" \"]}},\"description\":\"Split text into chunks of a specified length.\",\"base_classes\":[\"Document\"],\"display_name\":\"Recursive Character Text Splitter\",\"custom_fields\":{\"chunk_overlap\":null,\"chunk_size\":null,\"documents\":null,\"separators\":null},\"output_types\":[\"RecursiveCharacterTextSplitter\"],\"documentation\":\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\",\"beta\":true,\"error\":null},\"id\":\"RecursiveCharacterTextSplitter-1eaOX\"},\"selected\":false,\"positionAbsolute\":{\"x\":1409.2872773444874,\"y\":19.45456141103284},\"dragging\":false},{\"width\":384,\"height\":367,\"id\":\"OpenAIEmbeddings-cduOO\",\"type\":\"genericNode\",\"position\":{\"x\":1405.1176670984544,\"y\":1029.459061269321},\"data\":{\"type\":\"OpenAIEmbeddings\",\"node\":{\"template\":{\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Literal'all'\",\"list\":true},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Literal'all'\",\"list\":true},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1000,\"password\":false,\"name\":\"chunk_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"deployment\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"embedding_ctx_length\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":8191,\"password\":false,\"name\":\"embedding_ctx_length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"{'Authorization': 'Bearer <token>'}\",\"password\":false,\"name\":\"headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_type\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_version\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"show_progress_bar\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"show_progress_bar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"skip_empty\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"skip_empty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"_type\":\"OpenAIEmbeddings\"},\"description\":\"OpenAI embedding models.\",\"base_classes\":[\"Embeddings\",\"OpenAIEmbeddings\"],\"display_name\":\"OpenAIEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAIEmbeddings-cduOO\"},\"selected\":false,\"positionAbsolute\":{\"x\":1405.1176670984544,\"y\":1029.459061269321}},{\"width\":384,\"height\":339,\"id\":\"RetrievalQA-4PmTB\",\"type\":\"genericNode\",\"position\":{\"x\":2711.7786966415715,\"y\":709.4450828605463},\"data\":{\"type\":\"RetrievalQA\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"combine_documents_chain\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"combine_documents_chain\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseCombineDocumentsChain\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"retriever\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseRetriever\",\"list\":false},\"input_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"query\",\"password\":false,\"name\":\"input_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"output_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"result\",\"password\":false,\"name\":\"output_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"return_source_documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":false,\"name\":\"return_source_documents\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"RetrievalQA\"},\"description\":\"Chain for question-answering against an index.\",\"base_classes\":[\"RetrievalQA\",\"Chain\",\"BaseRetrievalQA\",\"function\"],\"display_name\":\"RetrievalQA\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/chains/popular/vector_db_qa\",\"beta\":false,\"error\":null},\"id\":\"RetrievalQA-4PmTB\"},\"selected\":false,\"positionAbsolute\":{\"x\":2711.7786966415715,\"y\":709.4450828605463}},{\"width\":384,\"height\":333,\"id\":\"CombineDocsChain-yk0JF\",\"type\":\"genericNode\",\"position\":{\"x\":2125.6202053356537,\"y\":199.07708924409633},\"data\":{\"type\":\"CombineDocsChain\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"chain_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"stuff\",\"password\":false,\"options\":[\"stuff\",\"map_reduce\",\"map_rerank\",\"refine\"],\"name\":\"chain_type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"_type\":\"load_qa_chain\"},\"description\":\"Load question answering chain.\",\"base_classes\":[\"BaseCombineDocumentsChain\",\"function\"],\"display_name\":\"CombineDocsChain\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"id\":\"CombineDocsChain-yk0JF\"},\"selected\":false,\"positionAbsolute\":{\"x\":2125.6202053356537,\"y\":199.07708924409633},\"dragging\":false},{\"width\":384,\"height\":417,\"id\":\"CustomComponent-y6Wg0\",\"type\":\"genericNode\",\"position\":{\"x\":39.400034102832365,\"y\":-499.03551482195707},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nimport subprocess\\n\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain.prompts import PromptTemplate\\nfrom langchain.schema import Document\\n\\nfrom typing import List\\n\\n\\nclass YourComponent(CustomComponent):\\n    display_name: str = \\\"PIP Install\\\"\\n    description: str = \\\"Create any custom component you want!\\\"\\n\\n    def build(self, libs: List[str]) -> Document:\\n        def install_package(package_name):\\n            subprocess.check_call([\\\"pip\\\", \\\"install\\\", package_name])\\n        for lib in libs:\\n            install_package(lib)\\n        return \\\"\\\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"libs\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"libs\",\"display_name\":\"libs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"requests\",\"pytube\"]}},\"description\":\"Create any custom component you want!\",\"base_classes\":[\"Document\"],\"display_name\":\"PIP Install\",\"custom_fields\":{\"libs\":null},\"output_types\":[],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-y6Wg0\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":39.400034102832365,\"y\":-499.03551482195707}}],\"edges\":[{\"source\":\"ChatOpenAI-q61Y2\",\"sourceHandle\":\"{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}\",\"target\":\"CustomComponent-h0NSI\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œBaseLLMœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-q61Y2{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}-CustomComponent-h0NSI{œfieldNameœ:œllmœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œBaseLLMœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-q61Y2\"},\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"CustomComponent-h0NSI\",\"inputTypes\":null,\"type\":\"BaseLLM\"}}},{\"source\":\"CustomComponent-y6Wg0\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-y6Wg0œ}\",\"target\":\"CustomComponent-h0NSI\",\"targetHandle\":\"{œfieldNameœ:œdependenciesœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-y6Wg0{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-y6Wg0œ}-CustomComponent-h0NSI{œfieldNameœ:œdependenciesœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-y6Wg0\"},\"targetHandle\":{\"fieldName\":\"dependencies\",\"id\":\"CustomComponent-h0NSI\",\"inputTypes\":null,\"type\":\"Document\"}}},{\"source\":\"CustomComponent-h0NSI\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-h0NSIœ}\",\"target\":\"RecursiveCharacterTextSplitter-1eaOX\",\"targetHandle\":\"{œfieldNameœ:œdocumentsœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-h0NSI{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-h0NSIœ}-RecursiveCharacterTextSplitter-1eaOX{œfieldNameœ:œdocumentsœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-h0NSI\"},\"targetHandle\":{\"fieldName\":\"documents\",\"id\":\"RecursiveCharacterTextSplitter-1eaOX\",\"inputTypes\":null,\"type\":\"Document\"}},\"selected\":false},{\"source\":\"OpenAIEmbeddings-cduOO\",\"sourceHandle\":\"{œbaseClassesœ:[œEmbeddingsœ,œOpenAIEmbeddingsœ],œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-cduOOœ}\",\"target\":\"Chroma-gVhy7\",\"targetHandle\":\"{œfieldNameœ:œembeddingœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œEmbeddingsœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-OpenAIEmbeddings-cduOO{œbaseClassesœ:[œEmbeddingsœ,œOpenAIEmbeddingsœ],œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-cduOOœ}-Chroma-gVhy7{œfieldNameœ:œembeddingœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œEmbeddingsœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Embeddings\",\"OpenAIEmbeddings\"],\"dataType\":\"OpenAIEmbeddings\",\"id\":\"OpenAIEmbeddings-cduOO\"},\"targetHandle\":{\"fieldName\":\"embedding\",\"id\":\"Chroma-gVhy7\",\"inputTypes\":null,\"type\":\"Embeddings\"}}},{\"source\":\"RecursiveCharacterTextSplitter-1eaOX\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œRecursiveCharacterTextSplitterœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ}\",\"target\":\"Chroma-gVhy7\",\"targetHandle\":\"{œfieldNameœ:œdocumentsœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-RecursiveCharacterTextSplitter-1eaOX{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œRecursiveCharacterTextSplitterœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ}-Chroma-gVhy7{œfieldNameœ:œdocumentsœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"RecursiveCharacterTextSplitter\",\"id\":\"RecursiveCharacterTextSplitter-1eaOX\"},\"targetHandle\":{\"fieldName\":\"documents\",\"id\":\"Chroma-gVhy7\",\"inputTypes\":null,\"type\":\"Document\"}}},{\"source\":\"ChatOpenAI-q61Y2\",\"sourceHandle\":\"{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}\",\"target\":\"CombineDocsChain-yk0JF\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œCombineDocsChain-yk0JFœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-q61Y2{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}-CombineDocsChain-yk0JF{œfieldNameœ:œllmœ,œidœ:œCombineDocsChain-yk0JFœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-q61Y2\"},\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"CombineDocsChain-yk0JF\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"}}},{\"source\":\"CombineDocsChain-yk0JF\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseCombineDocumentsChainœ,œfunctionœ],œdataTypeœ:œCombineDocsChainœ,œidœ:œCombineDocsChain-yk0JFœ}\",\"target\":\"RetrievalQA-4PmTB\",\"targetHandle\":\"{œfieldNameœ:œcombine_documents_chainœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseCombineDocumentsChainœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CombineDocsChain-yk0JF{œbaseClassesœ:[œBaseCombineDocumentsChainœ,œfunctionœ],œdataTypeœ:œCombineDocsChainœ,œidœ:œCombineDocsChain-yk0JFœ}-RetrievalQA-4PmTB{œfieldNameœ:œcombine_documents_chainœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseCombineDocumentsChainœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"BaseCombineDocumentsChain\",\"function\"],\"dataType\":\"CombineDocsChain\",\"id\":\"CombineDocsChain-yk0JF\"},\"targetHandle\":{\"fieldName\":\"combine_documents_chain\",\"id\":\"RetrievalQA-4PmTB\",\"inputTypes\":null,\"type\":\"BaseCombineDocumentsChain\"}}},{\"source\":\"Chroma-gVhy7\",\"sourceHandle\":\"{œbaseClassesœ:[œVectorStoreœ,œChromaœ,œBaseRetrieverœ,œVectorStoreRetrieverœ],œdataTypeœ:œChromaœ,œidœ:œChroma-gVhy7œ}\",\"target\":\"RetrievalQA-4PmTB\",\"targetHandle\":\"{œfieldNameœ:œretrieverœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseRetrieverœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-Chroma-gVhy7{œbaseClassesœ:[œVectorStoreœ,œChromaœ,œBaseRetrieverœ,œVectorStoreRetrieverœ],œdataTypeœ:œChromaœ,œidœ:œChroma-gVhy7œ}-RetrievalQA-4PmTB{œfieldNameœ:œretrieverœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseRetrieverœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"VectorStore\",\"Chroma\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"dataType\":\"Chroma\",\"id\":\"Chroma-gVhy7\"},\"targetHandle\":{\"fieldName\":\"retriever\",\"id\":\"RetrievalQA-4PmTB\",\"inputTypes\":null,\"type\":\"BaseRetriever\"}}}],\"viewport\":{\"x\":189.54413265004274,\"y\":259.89949657174975,\"zoom\":0.291027508374689}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:59:08.830269\",\"folder\":null,\"id\":\"bc7eb94b-6fc6-49cb-9b19-35347ba51afa\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Web Scraper - Content & Links\",\"description\":\"Fetch and parse text and links from a given URL.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":338,\"id\":\"LLMChain-H7PBy\",\"type\":\"genericNode\",\"position\":{\"x\":1682.494010974207,\"y\":275.5701585623092},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-H7PBy\"},\"selected\":false,\"positionAbsolute\":{\"x\":1682.494010974207,\"y\":275.5701585623092},\"dragging\":false},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-VSAdc\",\"type\":\"genericNode\",\"position\":{\"x\":1002.4263147022411,\"y\":-198.2305006886859},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"sk-...\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"0.1\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-VSAdc\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":1002.4263147022411,\"y\":-198.2305006886859}},{\"width\":384,\"height\":374,\"data\":{\"id\":\"GroupNode-WXPMk\",\"type\":\"PromptTemplate\",\"node\":{\"output_types\":[],\"display_name\":\"Web Scraper\",\"documentation\":\"\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"description\":\"Fetch and parse text and links from a given URL.\",\"template\":{\"code_CustomComponent-f6nOg\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"code\"},\"display_name\":\"Code\"},\"ignore_links_CustomComponent-f6nOg\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"ignore_links\"}},\"code_CustomComponent-FGzJJ\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-FGzJJ\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-0XtUN\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-0XtUN\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-ODIcp\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-ODIcp\",\"field\":\"code\"},\"display_name\":\"Code\"},\"output_parser_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"output_parser\"},\"display_name\":\"Output Parser\"},\"input_types_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_types\"},\"display_name\":\"Input Types\"},\"input_variables_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"],\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_variables\"},\"display_name\":\"Input Variables\"},\"partial_variables_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"partial_variables\"},\"display_name\":\"Partial Variables\"},\"template_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\",\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template\"},\"display_name\":\"Template\"},\"template_format_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template_format\"},\"display_name\":\"Template Format\"},\"validate_template_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"validate_template\"},\"display_name\":\"Validate Template\"},\"query_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"give me links\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"query\"}},\"code_CustomComponent-OACE0\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"code\"},\"display_name\":\"Code\"},\"url_CustomComponent-OACE0\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"url\"},\"value\":\"https://paperswithcode.com/\"},\"code_CustomComponent-whsQ5\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n    display_name: str = \\\"List to Bullets\\\"\\n    description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n    def build(self, items: list) -> str:\\n        markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n        return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-whsQ5\",\"field\":\"code\"},\"display_name\":\"Code\"}},\"flow\":{\"data\":{\"nodes\":[{\"width\":384,\"height\":405,\"id\":\"CustomComponent-f6nOg\",\"type\":\"genericNode\",\"position\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-f6nOg\"},\"selected\":true,\"positionAbsolute\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"dragging\":false},{\"width\":384,\"height\":375,\"id\":\"CustomComponent-FGzJJ\",\"type\":\"genericNode\",\"position\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-FGzJJ\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-0XtUN\",\"type\":\"genericNode\",\"position\":{\"x\":214.00059169497604,\"y\":177.27071061129823},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse HTML\",\"custom_fields\":{\"html_content\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-0XtUN\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":214.00059169497604,\"y\":177.27071061129823}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-ODIcp\",\"type\":\"genericNode\",\"position\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract Hyperlinks\",\"custom_fields\":{\"soup\":null},\"output_types\":[\"list\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-ODIcp\"},\"selected\":true,\"positionAbsolute\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"dragging\":false},{\"width\":384,\"height\":657,\"id\":\"PromptTemplate-H9Udy\",\"type\":\"genericNode\",\"position\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_markdown\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_markdown\",\"display_name\":\"html_markdown\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_links\",\"display_name\":\"html_links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-H9Udy\"},\"selected\":true,\"positionAbsolute\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"dragging\":false},{\"width\":384,\"height\":347,\"id\":\"CustomComponent-OACE0\",\"type\":\"genericNode\",\"position\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":null,\"base_classes\":[\"str\"],\"display_name\":\"URL Input\",\"custom_fields\":{\"url\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-OACE0\"},\"selected\":true,\"positionAbsolute\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"dragging\":false},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-whsQ5\",\"type\":\"genericNode\",\"position\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n    display_name: str = \\\"List to Bullets\\\"\\n    description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n    def build(self, items: list) -> str:\\n        markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n        return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"items\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"items\",\"display_name\":\"items\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"list\",\"list\":true}},\"description\":\"Converts a Python list into Markdown bullet points.\",\"base_classes\":[\"str\"],\"display_name\":\"List to Bullets\",\"custom_fields\":{\"items\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-whsQ5\"},\"selected\":true,\"positionAbsolute\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"dragging\":false}],\"edges\":[{\"source\":\"CustomComponent-FGzJJ\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}\",\"target\":\"CustomComponent-f6nOg\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-f6nOgœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-f6nOg\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-FGzJJ\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-FGzJJ{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}-CustomComponent-f6nOg{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-f6nOgœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-FGzJJ\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}\",\"target\":\"CustomComponent-0XtUN\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-0XtUNœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-0XtUN\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-FGzJJ\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-FGzJJ{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}-CustomComponent-0XtUN{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-0XtUNœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-0XtUN\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-0XtUNœ}\",\"target\":\"CustomComponent-ODIcp\",\"targetHandle\":\"{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-ODIcpœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"soup\",\"id\":\"CustomComponent-ODIcp\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-0XtUN\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-0XtUN{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-0XtUNœ}-CustomComponent-ODIcp{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-ODIcpœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-OACE0\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}\",\"target\":\"CustomComponent-FGzJJ\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œCustomComponent-FGzJJœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"CustomComponent-FGzJJ\",\"inputTypes\":[\"Data\",\"str\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-OACE0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-OACE0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}-CustomComponent-FGzJJ{œfieldNameœ:œurlœ,œidœ:œCustomComponent-FGzJJœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-OACE0\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-OACE0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-OACE0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}-PromptTemplate-H9Udy{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-ODIcp\",\"sourceHandle\":\"{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ODIcpœ}\",\"target\":\"CustomComponent-whsQ5\",\"targetHandle\":\"{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-whsQ5œ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"items\",\"id\":\"CustomComponent-whsQ5\",\"inputTypes\":null,\"type\":\"list\"},\"sourceHandle\":{\"baseClasses\":[\"list\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-ODIcp\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-ODIcp{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ODIcpœ}-CustomComponent-whsQ5{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-whsQ5œ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"selected\":true},{\"source\":\"CustomComponent-whsQ5\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-whsQ5œ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_links\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-whsQ5\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-whsQ5{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-whsQ5œ}-PromptTemplate-H9Udy{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-f6nOg\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-f6nOgœ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_markdown\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-f6nOg\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-f6nOg{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-f6nOgœ}-PromptTemplate-H9Udy{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true}],\"viewport\":{\"x\":343.0346131188585,\"y\":341.89843948642147,\"zoom\":0.24148408223121196}},\"is_component\":false,\"name\":\"Fluffy Ptolemy\",\"description\":\"\",\"id\":\"W5oNW\"}}},\"id\":\"GroupNode-WXPMk\",\"position\":{\"x\":873.0737834322758,\"y\":598.8401015776466},\"type\":\"genericNode\",\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":873.0737834322758,\"y\":598.8401015776466}}],\"edges\":[{\"source\":\"ChatOpenAI-VSAdc\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VSAdcœ}\",\"target\":\"LLMChain-H7PBy\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-H7PBy\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-VSAdc\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-VSAdc{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VSAdcœ}-LLMChain-H7PBy{œfieldNameœ:œllmœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\"},{\"source\":\"GroupNode-WXPMk\",\"sourceHandle\":\"{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œGroupNode-WXPMkœ}\",\"target\":\"LLMChain-H7PBy\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-H7PBy\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"GroupNode-WXPMk\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-GroupNode-WXPMk{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œGroupNode-WXPMkœ}-LLMChain-H7PBy{œfieldNameœ:œpromptœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":-348.6161822813733,\"y\":121.40545291211492,\"zoom\":0.6801854262029781}},\"is_component\":false,\"updated_at\":\"2023-12-04T23:22:27.784647\",\"folder\":null,\"id\":\"efc3bf27-3cf1-4561-9a83-3df347572440\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sad Joliot\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":338,\"id\":\"LLMChain-RQsU1\",\"type\":\"genericNode\",\"position\":{\"x\":514.4440482813261,\"y\":528.164086188516},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-RQsU1\"},\"selected\":false,\"positionAbsolute\":{\"x\":514.4440482813261,\"y\":528.164086188516}},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-NTTcv\",\"type\":\"genericNode\",\"position\":{\"x\":-221.33853765781578,\"y\":-35.48749923706055},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"sk-...\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"0.1\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-NTTcv\"},\"selected\":false,\"positionAbsolute\":{\"x\":-221.33853765781578,\"y\":-35.48749923706055}},{\"width\":384,\"height\":374,\"id\":\"PromptTemplate-VELMV\",\"type\":\"genericNode\",\"position\":{\"x\":-222,\"y\":682.560723386973},\"data\":{\"id\":\"PromptTemplate-VELMV\",\"type\":\"PromptTemplate\",\"node\":{\"output_types\":[],\"display_name\":\"Web Scraper\",\"documentation\":\"\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"description\":\"Fetch and parse text and links from a given URL.\",\"template\":{\"code_CustomComponent-f6nOg\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"code\"},\"display_name\":\"Code\"},\"ignore_links_CustomComponent-f6nOg\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"ignore_links\"}},\"code_CustomComponent-FGzJJ\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-FGzJJ\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-0XtUN\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-0XtUN\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-ODIcp\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-ODIcp\",\"field\":\"code\"},\"display_name\":\"Code\"},\"output_parser_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"output_parser\"},\"display_name\":\"Output Parser\"},\"input_types_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_types\"},\"display_name\":\"Input Types\"},\"input_variables_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"],\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_variables\"},\"display_name\":\"Input Variables\"},\"partial_variables_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"partial_variables\"},\"display_name\":\"Partial Variables\"},\"template_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\",\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template\"},\"display_name\":\"Template\"},\"template_format_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template_format\"},\"display_name\":\"Template Format\"},\"validate_template_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"validate_template\"},\"display_name\":\"Validate Template\"},\"query_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"query\"}},\"code_CustomComponent-OACE0\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"code\"},\"display_name\":\"Code\"},\"url_CustomComponent-OACE0\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"url\"},\"value\":\"https://paperswithcode.com/\"},\"code_CustomComponent-whsQ5\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n    display_name: str = \\\"List to Bullets\\\"\\n    description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n    def build(self, items: list) -> str:\\n        markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n        return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-whsQ5\",\"field\":\"code\"},\"display_name\":\"Code\"}},\"flow\":{\"data\":{\"nodes\":[{\"width\":384,\"height\":405,\"id\":\"CustomComponent-f6nOg\",\"type\":\"genericNode\",\"position\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-f6nOg\"},\"selected\":true,\"positionAbsolute\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"dragging\":false},{\"width\":384,\"height\":375,\"id\":\"CustomComponent-FGzJJ\",\"type\":\"genericNode\",\"position\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-FGzJJ\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-0XtUN\",\"type\":\"genericNode\",\"position\":{\"x\":214.00059169497604,\"y\":177.27071061129823},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse HTML\",\"custom_fields\":{\"html_content\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-0XtUN\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":214.00059169497604,\"y\":177.27071061129823}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-ODIcp\",\"type\":\"genericNode\",\"position\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract Hyperlinks\",\"custom_fields\":{\"soup\":null},\"output_types\":[\"list\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-ODIcp\"},\"selected\":true,\"positionAbsolute\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"dragging\":false},{\"width\":384,\"height\":657,\"id\":\"PromptTemplate-H9Udy\",\"type\":\"genericNode\",\"position\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_markdown\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_markdown\",\"display_name\":\"html_markdown\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_links\",\"display_name\":\"html_links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-H9Udy\"},\"selected\":true,\"positionAbsolute\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"dragging\":false},{\"width\":384,\"height\":347,\"id\":\"CustomComponent-OACE0\",\"type\":\"genericNode\",\"position\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":null,\"base_classes\":[\"str\"],\"display_name\":\"URL Input\",\"custom_fields\":{\"url\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-OACE0\"},\"selected\":true,\"positionAbsolute\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"dragging\":false},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-whsQ5\",\"type\":\"genericNode\",\"position\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n    display_name: str = \\\"List to Bullets\\\"\\n    description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n    def build(self, items: list) -> str:\\n        markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n        return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"items\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"items\",\"display_name\":\"items\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"list\",\"list\":true}},\"description\":\"Converts a Python list into Markdown bullet points.\",\"base_classes\":[\"str\"],\"display_name\":\"List to Bullets\",\"custom_fields\":{\"items\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-whsQ5\"},\"selected\":true,\"positionAbsolute\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"dragging\":false}],\"edges\":[{\"source\":\"CustomComponent-FGzJJ\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}\",\"target\":\"CustomComponent-f6nOg\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-f6nOgœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-f6nOg\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-FGzJJ\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-FGzJJ{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}-CustomComponent-f6nOg{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-f6nOgœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-FGzJJ\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}\",\"target\":\"CustomComponent-0XtUN\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-0XtUNœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-0XtUN\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-FGzJJ\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-FGzJJ{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}-CustomComponent-0XtUN{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-0XtUNœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-0XtUN\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-0XtUNœ}\",\"target\":\"CustomComponent-ODIcp\",\"targetHandle\":\"{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-ODIcpœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"soup\",\"id\":\"CustomComponent-ODIcp\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-0XtUN\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-0XtUN{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-0XtUNœ}-CustomComponent-ODIcp{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-ODIcpœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-OACE0\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}\",\"target\":\"CustomComponent-FGzJJ\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œCustomComponent-FGzJJœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"CustomComponent-FGzJJ\",\"inputTypes\":[\"Data\",\"str\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-OACE0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-OACE0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}-CustomComponent-FGzJJ{œfieldNameœ:œurlœ,œidœ:œCustomComponent-FGzJJœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-OACE0\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-OACE0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-OACE0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}-PromptTemplate-H9Udy{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-ODIcp\",\"sourceHandle\":\"{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ODIcpœ}\",\"target\":\"CustomComponent-whsQ5\",\"targetHandle\":\"{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-whsQ5œ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"items\",\"id\":\"CustomComponent-whsQ5\",\"inputTypes\":null,\"type\":\"list\"},\"sourceHandle\":{\"baseClasses\":[\"list\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-ODIcp\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-ODIcp{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ODIcpœ}-CustomComponent-whsQ5{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-whsQ5œ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"selected\":true},{\"source\":\"CustomComponent-whsQ5\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-whsQ5œ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_links\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-whsQ5\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-whsQ5{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-whsQ5œ}-PromptTemplate-H9Udy{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-f6nOg\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-f6nOgœ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_markdown\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-f6nOg\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-f6nOg{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-f6nOgœ}-PromptTemplate-H9Udy{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true}],\"viewport\":{\"x\":343.0346131188585,\"y\":341.89843948642147,\"zoom\":0.24148408223121196}},\"is_component\":false,\"name\":\"Fluffy Ptolemy\",\"description\":\"\",\"id\":\"W5oNW\"}}},\"selected\":false,\"positionAbsolute\":{\"x\":-222,\"y\":682.560723386973}}],\"edges\":[{\"source\":\"ChatOpenAI-NTTcv\",\"target\":\"LLMChain-RQsU1\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-NTTcvœ}\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-RQsU1œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"id\":\"reactflow__edge-ChatOpenAI-NTTcv{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-NTTcvœ}-LLMChain-RQsU1{œfieldNameœ:œllmœ,œidœ:œLLMChain-RQsU1œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-RQsU1\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-NTTcv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 \",\"animated\":false,\"selected\":false},{\"source\":\"PromptTemplate-VELMV\",\"target\":\"LLMChain-RQsU1\",\"sourceHandle\":\"{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-VELMVœ}\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-RQsU1œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"id\":\"reactflow__edge-PromptTemplate-VELMV{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-VELMVœ}-LLMChain-RQsU1{œfieldNameœ:œpromptœ,œidœ:œLLMChain-RQsU1œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-RQsU1\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-VELMV\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 \",\"animated\":false,\"selected\":false}],\"viewport\":{\"x\":298.29888454238517,\"y\":96.95765543775741,\"zoom\":0.5140569133280332}},\"is_component\":false,\"updated_at\":\"2023-12-04T23:23:08.584967\",\"folder\":null,\"id\":\"5df79f1d-f592-4d59-8c0f-9f3c2f6465b1\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Silly Pasteur\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":338,\"id\":\"LLMChain-cHel8\",\"type\":\"genericNode\",\"position\":{\"x\":547.3876889720291,\"y\":299.2057833881307},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-cHel8\"},\"selected\":false,\"positionAbsolute\":{\"x\":547.3876889720291,\"y\":299.2057833881307},\"dragging\":false},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-LA6y0\",\"type\":\"genericNode\",\"position\":{\"x\":-272.94405331278074,\"y\":-603.148171441675},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"sk-...\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"0.1\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-LA6y0\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":-272.94405331278074,\"y\":-603.148171441675}},{\"width\":384,\"height\":404,\"id\":\"CustomComponent-ZNoRM\",\"type\":\"genericNode\",\"position\":{\"x\":-103.65741264289085,\"y\":134.62332404764658},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-ZNoRM\"},\"selected\":false,\"positionAbsolute\":{\"x\":-103.65741264289085,\"y\":134.62332404764658},\"dragging\":false},{\"width\":384,\"height\":374,\"id\":\"CustomComponent-zNSTv\",\"type\":\"genericNode\",\"position\":{\"x\":-1233.3963469933499,\"y\":280.77850809220325},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-zNSTv\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":-1233.3963469933499,\"y\":280.77850809220325}},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-Ihm2o\",\"type\":\"genericNode\",\"position\":{\"x\":-554.9404152016002,\"y\":683.6763775860567},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse HTML\",\"custom_fields\":{\"html_content\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-Ihm2o\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":-554.9404152016002,\"y\":683.6763775860567}},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-6ST9l\",\"type\":\"genericNode\",\"position\":{\"x\":76.10921262566495,\"y\":872.9491114949525},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract Hyperlinks\",\"custom_fields\":{\"soup\":null},\"output_types\":[\"list\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-6ST9l\"},\"selected\":false,\"positionAbsolute\":{\"x\":76.10921262566495,\"y\":872.9491114949525},\"dragging\":false},{\"width\":384,\"height\":654,\"id\":\"PromptTemplate-l35W1\",\"type\":\"genericNode\",\"position\":{\"x\":1461.4487148097069,\"y\":1090.896175351284},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"display_name\":\"output_parser\"},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"display_name\":\"input_types\"},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"],\"display_name\":\"input_variables\"},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"display_name\":\"partial_variables\"},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\",\"display_name\":\"template\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false,\"display_name\":\"template_format\"},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"display_name\":\"validate_template\"},\"_type\":\"PromptTemplate\",\"url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_markdown\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_markdown\",\"display_name\":\"html_markdown\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_links\",\"display_name\":\"html_links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-l35W1\"},\"selected\":false,\"positionAbsolute\":{\"x\":1461.4487148097069,\"y\":1090.896175351284},\"dragging\":false},{\"width\":384,\"height\":346,\"id\":\"CustomComponent-iTLf4\",\"type\":\"genericNode\",\"position\":{\"x\":-1924.8908014123388,\"y\":704.5414990162741},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"https://paperswithcode.com/\"}},\"description\":null,\"base_classes\":[\"str\"],\"display_name\":\"URL Input\",\"custom_fields\":{\"url\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-iTLf4\"},\"selected\":false,\"positionAbsolute\":{\"x\":-1924.8908014123388,\"y\":704.5414990162741},\"dragging\":false},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-jWLUz\",\"type\":\"genericNode\",\"position\":{\"x\":627.6164007410564,\"y\":1201.2365384322047},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n    display_name: str = \\\"List to Bullets\\\"\\n    description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n    def build(self, items: list) -> str:\\n        markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n        return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"items\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"items\",\"display_name\":\"items\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"list\",\"list\":true}},\"description\":\"Converts a Python list into Markdown bullet points.\",\"base_classes\":[\"str\"],\"display_name\":\"List to Bullets\",\"custom_fields\":{\"items\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-jWLUz\"},\"selected\":false,\"positionAbsolute\":{\"x\":627.6164007410564,\"y\":1201.2365384322047},\"dragging\":false}],\"edges\":[{\"source\":\"ChatOpenAI-LA6y0\",\"target\":\"LLMChain-cHel8\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-LA6y0œ}\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-cHel8œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"id\":\"reactflow__edge-ChatOpenAI-LA6y0{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-LA6y0œ}-LLMChain-cHel8{œfieldNameœ:œllmœ,œidœ:œLLMChain-cHel8œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-cHel8\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-LA6y0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"CustomComponent-zNSTv\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-zNSTvœ}\",\"target\":\"CustomComponent-ZNoRM\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-ZNoRMœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-ZNoRM\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-zNSTv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-zNSTv{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-zNSTvœ}-CustomComponent-ZNoRM{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-ZNoRMœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":false},{\"source\":\"CustomComponent-zNSTv\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-zNSTvœ}\",\"target\":\"CustomComponent-Ihm2o\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-Ihm2oœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-Ihm2o\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-zNSTv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-zNSTv{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-zNSTvœ}-CustomComponent-Ihm2o{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-Ihm2oœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":false},{\"source\":\"CustomComponent-Ihm2o\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-Ihm2oœ}\",\"target\":\"CustomComponent-6ST9l\",\"targetHandle\":\"{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-6ST9lœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"soup\",\"id\":\"CustomComponent-6ST9l\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-Ihm2o\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-Ihm2o{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-Ihm2oœ}-CustomComponent-6ST9l{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-6ST9lœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":false},{\"source\":\"CustomComponent-iTLf4\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-iTLf4œ}\",\"target\":\"CustomComponent-zNSTv\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œCustomComponent-zNSTvœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"CustomComponent-zNSTv\",\"inputTypes\":[\"Data\",\"str\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-iTLf4\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-iTLf4{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-iTLf4œ}-CustomComponent-zNSTv{œfieldNameœ:œurlœ,œidœ:œCustomComponent-zNSTvœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"selected\":false},{\"source\":\"CustomComponent-iTLf4\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-iTLf4œ}\",\"target\":\"PromptTemplate-l35W1\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"PromptTemplate-l35W1\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-iTLf4\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-iTLf4{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-iTLf4œ}-PromptTemplate-l35W1{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":false},{\"source\":\"CustomComponent-6ST9l\",\"sourceHandle\":\"{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-6ST9lœ}\",\"target\":\"CustomComponent-jWLUz\",\"targetHandle\":\"{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-jWLUzœ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"items\",\"id\":\"CustomComponent-jWLUz\",\"inputTypes\":null,\"type\":\"list\"},\"sourceHandle\":{\"baseClasses\":[\"list\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-6ST9l\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-6ST9l{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-6ST9lœ}-CustomComponent-jWLUz{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-jWLUzœ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"selected\":false},{\"source\":\"CustomComponent-jWLUz\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-jWLUzœ}\",\"target\":\"PromptTemplate-l35W1\",\"targetHandle\":\"{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_links\",\"id\":\"PromptTemplate-l35W1\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-jWLUz\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-jWLUz{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-jWLUzœ}-PromptTemplate-l35W1{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":false},{\"source\":\"CustomComponent-ZNoRM\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ZNoRMœ}\",\"target\":\"PromptTemplate-l35W1\",\"targetHandle\":\"{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_markdown\",\"id\":\"PromptTemplate-l35W1\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-ZNoRM\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-ZNoRM{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ZNoRMœ}-PromptTemplate-l35W1{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":false},{\"source\":\"PromptTemplate-l35W1\",\"sourceHandle\":\"{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-l35W1œ}\",\"target\":\"LLMChain-cHel8\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-cHel8œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-cHel8\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-l35W1\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-PromptTemplate-mJqEg{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-mJqEgœ}-LLMChain-cHel8{œfieldNameœ:œpromptœ,œidœ:œLLMChain-cHel8œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":206.6159172940935,\"y\":79.94375811155385,\"zoom\":0.5140569133280333}},\"is_component\":false,\"updated_at\":\"2023-12-06T00:23:04.515144\",\"folder\":null,\"id\":\"ecfb377a-7e88-405d-8d66-7560735ce446\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Lovelace\",\"description\":\"Smart Chains, Smarter Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-04T23:43:25.925753\",\"folder\":null,\"id\":\"30e71767-6128-40e4-9a6d-b9197b679971\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Custom Component\",\"description\":\"Create any custom component you want!\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\n\\nclass Component(CustomComponent):\\n    display_name: str = \\\"Custom Component\\\"\\n    description: str = \\\"Create any custom component you want!\\\"\\n    documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n    def build_config(self):\\n        return {\\\"param\\\": {\\\"display_name\\\": \\\"Parameter\\\"}}\\n\\n    def build(self, param: Data) -> Data:\\n        return param\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"param\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"param\",\"display_name\":\"Parameter\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Create any custom component you want!\",\"base_classes\":[\"Data\"],\"display_name\":\"Custom Component\",\"custom_fields\":{\"param\":null},\"output_types\":[\"CustomComponent\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-IxJqc\"},\"id\":\"CustomComponent-IxJqc\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-05T22:08:27.080204\",\"folder\":null,\"id\":\"f3c56abb-96d8-4a09-80d3-f60181661b3c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazing Wilson\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-05T23:49:58.272677\",\"folder\":null,\"id\":\"324499a6-17a6-49de-96b1-b88955ed2c3d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nauseous Kowalevski\",\"description\":\"Create, Curate, Communicate with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:27.084387\",\"folder\":null,\"id\":\"e3168485-d31b-472a-907f-faf833bf7824\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Silly Fermi\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.134463\",\"folder\":null,\"id\":\"d0ecea5d-bcf9-4b8e-88f0-3c243d309336\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Friendly Ardinghelli\",\"description\":\"Smart Chains, Smarter Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.138184\",\"folder\":null,\"id\":\"a406912d-b0e2-4954-bef3-ee80c29eca3c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Easley\",\"description\":\"Bridging Prompts for Brilliance.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.162908\",\"folder\":null,\"id\":\"57b32155-4c6e-4823-ad03-8dd09d8abc62\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Varahamihira\",\"description\":\"Create, Chain, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.135644\",\"folder\":null,\"id\":\"18daa0ff-2e5d-457a-95d7-710affec5c4d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jubilant Joliot\",\"description\":\"Language Architect at Work!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.139496\",\"folder\":null,\"id\":\"9255e938-280e-4ce7-91cd-8622126a7d02\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Adoring Carroll\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.162240\",\"folder\":null,\"id\":\"a7a680b9-30b1-4438-ac24-da597de443aa\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Berserk Herschel\",\"description\":\"Your Hub for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:46:02.593504\",\"folder\":null,\"id\":\"37a439b0-7b1d-45e3-b4fa-5c73669bae3b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Distracted Joliot\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:04.845238\",\"folder\":null,\"id\":\"4d23fd0a-8ad5-46b9-bb99-eed4138e7426\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Happy Babbage\",\"description\":\"Flow into the Future of Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:41.899665\",\"folder\":null,\"id\":\"1c8ad5b9-5524-41fe-a762-52c75126b832\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Adoring Brown\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.702031\",\"folder\":null,\"id\":\"9d4c8e79-4904-4a51-a4bb-146c3d8db10e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Focused Mahavira\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.786331\",\"folder\":null,\"id\":\"4ba370d1-1f8e-4a23-99aa-99e2cd9b7cbf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mad Gates\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.838989\",\"folder\":null,\"id\":\"992c3cd3-1d79-4986-8c04-88a34130fa30\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Serene Mcclintock\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.932723\",\"folder\":null,\"id\":\"a65bfd13-44df-4090-aca0-5057e21e9997\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Berserk Feynman\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.931359\",\"folder\":null,\"id\":\"7a05dac5-c005-411d-9994-19d61e71ce78\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sprightly Perlman\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:43.054687\",\"folder\":null,\"id\":\"6db24541-7211-48e6-a792-1a4a99a0ef90\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jolly Colden\",\"description\":\"Flow into the Future of Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:43.078384\",\"folder\":null,\"id\":\"13ac42e8-9124-4bf4-9ea2-28671ef2d9a4\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Kaku\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:50:33.156776\",\"folder\":null,\"id\":\"79262d75-5c62-4b14-b067-f4297f5c912f\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jovial Khayyam\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:51:13.295375\",\"folder\":null,\"id\":\"3b397e74-d8be-4728-9d6c-05f7c78106a7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Mccarthy\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:51:27.632685\",\"folder\":null,\"id\":\"13f4e1fd-45eb-4271-92fd-0d70a31c61d2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cocky Lalande\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:51:54.628983\",\"folder\":null,\"id\":\"9cfd60d8-9311-47b0-b71b-f488f1940bc7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Romantic Mirzakhani\",\"description\":\"Innovation in Interaction with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:52:52.622698\",\"folder\":null,\"id\":\"0d849403-0f75-455d-b4e4-0d622ee3305a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grinning Brown\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:53:06.056636\",\"folder\":null,\"id\":\"8643ba14-52d6-4d36-9981-5fd37de5dd76\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Kickass Watt\",\"description\":\"Transform Your Business with Smart Dialogues.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:53:23.338727\",\"folder\":null,\"id\":\"818d3066-bf08-4bf9-adcd-739f8abbfa5d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Bose\",\"description\":\"Unravel the Art of Articulation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:53:41.218861\",\"folder\":null,\"id\":\"28eff43e-0ecf-47bf-9851-f1492589978e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Optimistic Jennings\",\"description\":\"Create Powerful Connections, Boost Business Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:55:03.681106\",\"folder\":null,\"id\":\"68f59069-bc2a-464f-a983-4b61e32e01af\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pedantic Mirzakhani\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:55:31.761949\",\"folder\":null,\"id\":\"5d981c0e-81b3-44cc-a5be-8f55b92bfed5\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Peppy Murdock\",\"description\":\"Create Powerful Connections, Boost Business Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:56:45.548598\",\"folder\":null,\"id\":\"e812ad47-47e8-422b-b94c-84fd0263c9c8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Berserk Fermat\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:58:50.234270\",\"folder\":null,\"id\":\"82aaf449-e737-4699-9360-929ab6108dc7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tiny Albattani\",\"description\":\"Your Toolkit for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:59:53.946035\",\"folder\":null,\"id\":\"097cb080-274b-40ca-8dde-7900a949568a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cranky Kirch\",\"description\":\"Sculpting Language with Precision.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:00:51.745350\",\"folder\":null,\"id\":\"837d7b5f-8495-46a9-b00e-ad1b7ebb52f4\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Kowalevski\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:02:53.336102\",\"folder\":null,\"id\":\"3ff079c2-d9f9-4da6-a22a-423fa35670ff\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Radiant Stallman\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:03:28.268357\",\"folder\":null,\"id\":\"c8b204dd-3d57-4bc8-aa13-1d559672e75b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grinning Swirles\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:03:51.194455\",\"folder\":null,\"id\":\"a097f083-5880-4cf7-986b-51898bc68e11\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Dreamy Williams\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:04:36.678251\",\"folder\":null,\"id\":\"d9585f63-ce76-42ce-87bc-8e69601ea5c6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Zany Hawking\",\"description\":\"Flow into the Future of Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:05:13.672479\",\"folder\":null,\"id\":\"612a01d5-8c8d-4cc1-8c54-35626b7f4a6d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazing Kilby\",\"description\":\"Your Toolkit for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:10:37.047955\",\"folder\":null,\"id\":\"2d05a598-3cdf-452a-bd5d-b0e569e562e3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Insane Cori\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:18:12.426578\",\"folder\":null,\"id\":\"d1769a4a-c1e9-4d74-9273-1e76cfcf21f3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Compassionate Tesla\",\"description\":\"Graph Your Way to Great Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:18:52.806238\",\"folder\":null,\"id\":\"28c5d9dd-0466-4c80-9e58-b1e061cd358d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jubilant Goldstine\",\"description\":\"Harness the Power of Conversational AI.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:21:44.488510\",\"folder\":null,\"id\":\"b3c57e4f-28a1-4580-bf08-a9484bdd66e8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Elegant Curie\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:23:47.610237\",\"folder\":null,\"id\":\"28fb024e-6ba1-4f5b-83b3-4742b3b8117c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Chandrasekhar\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:24:29.824530\",\"folder\":null,\"id\":\"d2b87cf7-9167-4030-8e9f-b8d9aa0cadee\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Nobel\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:26:51.210699\",\"folder\":null,\"id\":\"c2c9fbac-7d97-40c2-8055-dff608df9414\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Elated Edison\",\"description\":\"Advanced NLP for Groundbreaking Business Solutions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:27:35.822482\",\"folder\":null,\"id\":\"a55561cd-4b25-473f-bde5-884cbabb0d24\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Dazzling Lichterman\",\"description\":\"Building Linguistic Labyrinths.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:29:09.259381\",\"folder\":null,\"id\":\"9c6fe6d4-8311-4fc6-8b02-2a816d7c059d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Distracted Bhaskara\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:31:36.053452\",\"folder\":null,\"id\":\"ef6fc1ab-aff8-45a1-8cd5-bc8e38565e4d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Watt\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:32:26.765250\",\"folder\":null,\"id\":\"499b5351-9c09-4934-9f9d-a24be2fd8b24\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jolly Wien\",\"description\":\"Bridging Prompts for Brilliance.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:33:23.648859\",\"folder\":null,\"id\":\"a57eda91-7f6e-410d-9990-385fe0c724f3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nostalgic Spence\",\"description\":\"Mapping Meaningful Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:34:22.576407\",\"folder\":null,\"id\":\"685f685e-8a1b-4b7e-9e21-6cdd72163c91\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Comical Fermat\",\"description\":\"Create, Connect, Converse.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:35:44.920540\",\"folder\":null,\"id\":\"3e061766-b834-4fa4-ba9c-b060925d9703\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grave Volta\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:36:33.001572\",\"folder\":null,\"id\":\"135f2fd9-e005-40bc-a9bf-c25107388415\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Davinci\",\"description\":\"Create Powerful Connections, Boost Business Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:37:16.208823\",\"folder\":null,\"id\":\"167cdb24-7e1c-475b-893a-cca2f125426c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hilarious Sinoussi\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:38:07.215401\",\"folder\":null,\"id\":\"48113cab-2c04-493f-8c2e-c8d067826aa2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grave Sagan\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:39:19.479656\",\"folder\":null,\"id\":\"28d292dc-e094-4ffe-a657-178892933267\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cranky Hoover\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:40:02.895859\",\"folder\":null,\"id\":\"0c9849b7-b2d6-4d0e-8334-abfb3ae183dd\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Mendeleev\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:40:27.867247\",\"folder\":null,\"id\":\"d78c52e9-1941-4555-9bb9-abd01f176705\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Dubinsky\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:41:23.177402\",\"folder\":null,\"id\":\"5277a04c-b5da-4597-aaa2-a6b66ea11d02\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cocky Poitras\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:42:08.731865\",\"folder\":null,\"id\":\"b0d0c8de-4eea-484a-a068-b13e63f7e71c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pedantic Ptolemy\",\"description\":\"Crafting Conversations, One Node at a Time.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:42:25.658996\",\"folder\":null,\"id\":\"b6f155e2-03eb-4232-9bab-145463382fe9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Loving Cray\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:43:57.530112\",\"folder\":null,\"id\":\"b75c10ca-9ecb-432b-88ab-e1847e836e22\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Pasteur\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:44:58.979393\",\"folder\":null,\"id\":\"3710eccb-e7a7-41d5-9339-d9c301515d17\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Gates\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:45:42.744174\",\"folder\":null,\"id\":\"fdd2271e-92f6-4349-8c01-2ec0e9e73f13\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Determined Khorana\",\"description\":\"Beyond Text Generation - Unleashing Business Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:46:10.084684\",\"folder\":null,\"id\":\"88b49a97-0888-4fea-8d9b-6ac2cc6d158e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Booth\",\"description\":\"Design Dialogues with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:46:41.577750\",\"folder\":null,\"id\":\"629afe54-8796-45be-a570-e3ac79c60792\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jubilant Mendeleev\",\"description\":\"Chain the Words, Master Language!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:47:22.631243\",\"folder\":null,\"id\":\"7bf481b0-73fe-4f5b-a3d4-1263d9d8e827\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Clever Varahamihira\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:49:51.026960\",\"folder\":null,\"id\":\"df9e86b6-56c9-4848-9010-102615314766\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sleepy Stallman\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:50:14.932236\",\"folder\":null,\"id\":\"3e66994c-9b7a-4b85-a917-65d1959d7352\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Modest Wozniak\",\"description\":\"Advanced NLP for Groundbreaking Business Solutions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:51:13.811894\",\"folder\":null,\"id\":\"d10f924a-5780-4255-9f41-3e102ae03e84\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hopeful Mirzakhani\",\"description\":\"Graph Your Way to Great Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:52:23.906908\",\"folder\":null,\"id\":\"f3378fa8-ccaf-4a3b-90d6-b8ab0c4e481f\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Awesome Joule\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:52:43.863440\",\"folder\":null,\"id\":\"deaa50e7-a8b1-46b1-856c-334ee781e1c2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Peppy Shockley\",\"description\":\"Generate, Innovate, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:53:43.299699\",\"folder\":null,\"id\":\"c72eac2c-d924-40c6-a102-da524216d090\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Zany Dewey\",\"description\":\"Flow into the Future of Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:54:18.848827\",\"folder\":null,\"id\":\"d9425324-bb60-462e-b431-90a536f2bc76\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gloomy Joliot\",\"description\":\"Language Engineering Excellence.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:12.348608\",\"folder\":null,\"id\":\"621ba134-3fac-487c-98cd-96941439f1be\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Backstabbing Franklin\",\"description\":\"Craft Language Connections Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.491824\",\"folder\":null,\"id\":\"86ca9773-c7b7-4a1a-859a-6cbe0ddff206\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sharp Swartz\",\"description\":\"Beyond Text Generation - Unleashing Business Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.524414\",\"folder\":null,\"id\":\"da1c02b7-d608-4498-9946-7d02f55fa103\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Serene Volta\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.641432\",\"folder\":null,\"id\":\"8d5dd998-6b51-4f65-8331-086a7f3b11d7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Focused Lichterman\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.746120\",\"folder\":null,\"id\":\"942027d3-e2ea-48c6-8279-0a41b54e8862\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Einstein\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.746904\",\"folder\":null,\"id\":\"9e9b6298-1073-4297-8ecc-3c620b432e70\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cocky Planck\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.747420\",\"folder\":null,\"id\":\"7cd60c83-b797-4e60-af6d-cbc540657943\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Suspicious Zobell\",\"description\":\"Innovation in Interaction, Revolution in Revenue.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.749951\",\"folder\":null,\"id\":\"dab08306-9521-4e15-aa11-e6a6a4e210f8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Small Knuth\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:16.772119\",\"folder\":null,\"id\":\"c9149590-636a-44f5-aaae-45a4e78fe4df\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Wright\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:52.954568\",\"folder\":null,\"id\":\"6b23b2ad-c07c-46f6-b9ad-268783d1712e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Vibrant Lalande\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.656156\",\"folder\":null,\"id\":\"ece3bcf6-a147-4559-862e-cacff9db5f48\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Happy Gauss\",\"description\":\"The Pinnacle of Prompt Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.717991\",\"folder\":null,\"id\":\"252b6021-ecad-4eaf-9e2f-106c4c89c496\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gigantic Rosalind\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.736261\",\"folder\":null,\"id\":\"b8cb6d8d-c0fb-4e8d-a46e-2c608dc8a714\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Adoring Hubble\",\"description\":\"Powerful Prompts, Perfectly Positioned.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.769546\",\"folder\":null,\"id\":\"553a67db-7225-474c-978e-8a40cde2bfb2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Mclean\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.981063\",\"folder\":null,\"id\":\"e0865007-4d80-4edf-87ab-9e8d2892d719\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Trusting Murdock\",\"description\":\"Uncover Business Opportunities with NLP.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.982286\",\"folder\":null,\"id\":\"1021cd20-66e0-4b81-9c79-bfe729774d20\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Perky Riemann\",\"description\":\"Powerful Prompts, Perfectly Positioned.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.983216\",\"folder\":null,\"id\":\"089074d3-8a1e-4d85-a59d-b4717090e4d3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Small Tesla\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:00:35.704142\",\"folder\":null,\"id\":\"beb49d88-255e-4db4-931b-4ab4358f1097\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Boyd\",\"description\":\"Smart Chains, Smarter Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:01:13.569507\",\"folder\":null,\"id\":\"75b5ab8d-e0c0-43cf-912b-8578550e198a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Small Babbage\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:01:27.944868\",\"folder\":null,\"id\":\"503edd55-8f70-43e5-87fb-2324eaf62336\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Bose\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:02:40.122079\",\"folder\":null,\"id\":\"ae4f2992-1a23-4a43-bec6-68b823935762\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Coulomb\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.263237\",\"folder\":null,\"id\":\"a2a464db-b02a-4440-ad9e-7b552ee6c027\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Drunk Newton\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.883766\",\"folder\":null,\"id\":\"1a5d9af7-5a96-4035-a09c-e15741785828\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jovial Pasteur\",\"description\":\"Your Hub for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.933083\",\"folder\":null,\"id\":\"04b94873-0828-41dc-a850-fd4132c9b9f1\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Playful Spence\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.967685\",\"folder\":null,\"id\":\"47003dc2-7884-48a3-aa66-e4185079f4d9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cheerful Noyce\",\"description\":\"Your Passport to Linguistic Landscapes.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.983198\",\"folder\":null,\"id\":\"13769cb4-2e15-4d54-a28a-c97dc15db58c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Awesome Edison\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:16.018879\",\"folder\":null,\"id\":\"453dacde-6b10-406b-a5b3-f90f44be6899\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Upbeat Snyder\",\"description\":\"Powerful Prompts, Perfectly Positioned.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:16.205689\",\"folder\":null,\"id\":\"9544fac9-3002-47aa-86b9-102844fe9649\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tender Khorana\",\"description\":\"Chain the Words, Master Language!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:16.243434\",\"folder\":null,\"id\":\"90498ef6-34f9-45c8-8cd0-fe6a36a26f41\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Elated Albattani\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:05:07.775497\",\"folder\":null,\"id\":\"9577c416-8ce8-48f6-ad6d-ab2e003bb415\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Charming Goodall\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:07:52.139318\",\"folder\":null,\"id\":\"f10dc08e-b9c7-44b3-8837-b95aee2f6dbb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hilarious Ramanujan\",\"description\":\"Harness the Power of Conversational AI.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:08:22.448480\",\"folder\":null,\"id\":\"c864bd8c-67cd-465f-bf7d-7a35c7df37f3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tender Mclean\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:09:56.507826\",\"folder\":null,\"id\":\"f0c13b19-ae23-40e6-88d6-d135897ee100\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grave Hawking\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:10:27.169757\",\"folder\":null,\"id\":\"0afb91b4-8f41-4270-900a-f5de647d45ad\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gloomy Lovelace\",\"description\":\"Your Passport to Linguistic Landscapes.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:11:02.292233\",\"folder\":null,\"id\":\"0f1e5dcf-8769-4157-b495-5f215b490107\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Fervent Kilby\",\"description\":\"Empowering Enterprises with Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:11:46.960966\",\"folder\":null,\"id\":\"310d03d9-dd50-4946-9a27-38ee06906212\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Admiring Almeida\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:12:24.475101\",\"folder\":null,\"id\":\"3cbc8fc2-a86f-4177-9a1c-a833b2a24283\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Elated Roentgen\",\"description\":\"Empowering Enterprises with Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:06.753571\",\"folder\":null,\"id\":\"c508e922-29e9-4234-84ae-505c5bdf41c1\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Perky Poitras\",\"description\":\"Chain the Words, Master Language!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.754605\",\"folder\":null,\"id\":\"1431df05-1b6f-41af-a063-a18d26a946ef\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tender Khayyam\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.791627\",\"folder\":null,\"id\":\"344e03fb-fd49-4e87-be67-7dce04ba655b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Zealous Mayer\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.803889\",\"folder\":null,\"id\":\"8b3ff1cb-3a6c-46ee-b09a-0e9f9f13a8b9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tiny Ramanujan\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.822583\",\"folder\":null,\"id\":\"18961e76-f4b1-4968-926a-fed22cb04f69\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cheerful Franklin\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.854440\",\"folder\":null,\"id\":\"0e0ee854-ab46-4333-a848-2e1239a24334\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Serene Swirles\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.988932\",\"folder\":null,\"id\":\"cc7b8238-3d15-4f78-bd0c-8311691c9ff8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sleepy Swartz\",\"description\":\"Uncover Business Opportunities with NLP.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:08.028688\",\"folder\":null,\"id\":\"123369f9-c83c-4ed3-93b6-78ca29c271cf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cranky Kowalevski\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.097607\",\"folder\":null,\"id\":\"ed4b1490-e9e5-46bf-b337-166b48eaadd6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sprightly Golick\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.617772\",\"folder\":null,\"id\":\"9d1be311-c618-4e3e-aeb1-4161ab37850e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Boring Newton\",\"description\":\"Generate, Innovate, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.646124\",\"folder\":null,\"id\":\"63a75f99-1745-40d3-9e27-3d19a143be45\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sprightly Noyce\",\"description\":\"Beyond Text Generation - Unleashing Business Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.685781\",\"folder\":null,\"id\":\"b418ca87-eb17-42e8-b789-3fcb0cab3ddb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Fluffy Fermat\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.705984\",\"folder\":null,\"id\":\"93802b07-eee9-4a2b-8691-7d9a231bd67e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Stoic Payne\",\"description\":\"Beyond Text Generation - Unleashing Business Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.723990\",\"folder\":null,\"id\":\"d62df661-0ae5-4b41-a9fb-71cb2e46ad52\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Darwin\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.818343\",\"folder\":null,\"id\":\"d1f62248-415c-474a-bfa6-3509a528a33b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Focused Thompson\",\"description\":\"Transform Your Business with Smart Dialogues.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.925999\",\"folder\":null,\"id\":\"d2267176-f020-4c52-90a4-7f944d7c1749\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Admiring Dewey\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:07.400402\",\"folder\":null,\"id\":\"8cf1ac8d-d34d-4e8a-a9da-be44672e1dfb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Prickly Zuse\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.384611\",\"folder\":null,\"id\":\"bae3cb5b-0f1b-4e95-bf58-7eab38da3d73\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hungry Zuse\",\"description\":\"The Pinnacle of Prompt Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.436591\",\"folder\":null,\"id\":\"4dfafe3e-e9ef-405d-be72-550084411d69\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Khayyam\",\"description\":\"Design Dialogues with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.435958\",\"folder\":null,\"id\":\"e0f81215-dc55-4b5a-b8cf-6e2fcbf297a7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Big Mendel\",\"description\":\"Innovation in Interaction with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.470080\",\"folder\":null,\"id\":\"5022a71c-da47-4975-a4d0-6d2d9e760d3d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Inquisitive Poitras\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.484430\",\"folder\":null,\"id\":\"4f1ff9e3-3500-404c-80af-2010bc46cdcb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Joyous Jones\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.661306\",\"folder\":null,\"id\":\"77af3e47-c2cc-42f6-99e1-78589439a447\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Exuberant Khayyam\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.662877\",\"folder\":null,\"id\":\"6f3e2e56-b329-47e3-86cc-024c29203016\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Dazzling Visvesvaraya\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.092917\",\"folder\":null,\"id\":\"449ac0ee-ee29-4a9f-9aff-fd6a86624457\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nostalgic Tesla\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.630382\",\"folder\":null,\"id\":\"a2136ed3-dc75-4a8f-ab34-6887ff955b23\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Noether\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.652058\",\"folder\":null,\"id\":\"fd1080f8-db07-481a-b2ba-60f67fcb20a6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Dazzling Pasteur\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.688661\",\"folder\":null,\"id\":\"d534d5e1-92aa-4fb2-a795-7071c4feba47\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Comical Sinoussi\",\"description\":\"Bridging Prompts for Brilliance.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.741385\",\"folder\":null,\"id\":\"85323170-c066-4d8f-acb0-1b142241389e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Small Ramanujan\",\"description\":\"Uncover Business Opportunities with NLP.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.790086\",\"folder\":null,\"id\":\"b0d18432-21ab-404b-acb6-57ef97353fad\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sick Joliot\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":442,\"id\":\"OpenAIEmbeddings-rVj1B\",\"type\":\"genericNode\",\"position\":{\"x\":-100.23754663035719,\"y\":-718.7575880388187},\"data\":{\"type\":\"OpenAIEmbeddings\",\"node\":{\"template\":{\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1000,\"password\":false,\"name\":\"chunk_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"deployment\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"embedding_ctx_length\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":8191,\"password\":false,\"name\":\"embedding_ctx_length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"password\":false,\"name\":\"headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_type\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_version\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"show_progress_bar\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"show_progress_bar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"skip_empty\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"skip_empty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_enabled\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":true,\"name\":\"tiktoken_enabled\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"OpenAIEmbeddings\"},\"description\":\"OpenAI embedding models.\",\"base_classes\":[\"OpenAIEmbeddings\",\"Embeddings\"],\"display_name\":\"OpenAIEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAIEmbeddings-rVj1B\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-100.23754663035719,\"y\":-718.7575880388187}}],\"edges\":[],\"viewport\":{\"x\":267.7156633365312,\"y\":716.9644817529361,\"zoom\":0.7169776240079139}},\"is_component\":false,\"updated_at\":\"2023-12-08T18:52:26.999440\",\"folder\":null,\"id\":\"be39958a-ef42-4fa8-8e54-b611e56b5c97\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Graceful Lumiere\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:11.012069\",\"folder\":null,\"id\":\"f7dcecfd-533c-4f40-9dcb-f213962ed1a2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"aaaaa\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":442,\"id\":\"OpenAIEmbeddings-P6Z0D\",\"type\":\"genericNode\",\"position\":{\"x\":-100.23754663035719,\"y\":-718.7575880388187},\"data\":{\"type\":\"OpenAIEmbeddings\",\"node\":{\"template\":{\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1000,\"password\":false,\"name\":\"chunk_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"deployment\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"embedding_ctx_length\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":8191,\"password\":false,\"name\":\"embedding_ctx_length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"password\":false,\"name\":\"headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_type\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_version\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"show_progress_bar\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"show_progress_bar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"skip_empty\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"skip_empty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_enabled\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":true,\"name\":\"tiktoken_enabled\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"_type\":\"OpenAIEmbeddings\"},\"description\":\"OpenAI embedding models.\",\"base_classes\":[\"OpenAIEmbeddings\",\"Embeddings\"],\"display_name\":\"OpenAIEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAIEmbeddings-P6Z0D\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-100.23754663035719,\"y\":-718.7575880388187}}],\"edges\":[],\"viewport\":{\"x\":266.7156633365312,\"y\":657.9644817529361,\"zoom\":0.7169776240079139}},\"is_component\":false,\"updated_at\":\"2023-12-08T19:05:14.503144\",\"folder\":null,\"id\":\"c2411a20-57c6-44cc-a0d0-2c857453633d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Aryabhata\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":459,\"id\":\"CustomComponent-Qhbd7\",\"type\":\"genericNode\",\"position\":{\"x\":-224.36198532285903,\"y\":-39.03047722134913},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nfrom openai import OpenAI\\n\\n\\nclass Component(CustomComponent):\\n    display_name: str = \\\"OpenAI STT english translator\\\"\\n    description: str = \\\"Transcript and translate any audio to english\\\"\\n    documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n    def build_config(self):\\n        return {\\\"audio_path\\\":{\\\"display_name\\\":\\\"Audio path\\\",\\\"input_types\\\":[\\\"str\\\"]},\\\"openAI_key\\\":{\\\"display_name\\\":\\\"OpenAI key\\\",\\\"password\\\":True}}\\n\\n    def build(self,audio_path:str,openAI_key:str) -> str:\\n        client = OpenAI(api_key=openAI_key)\\n        audio_file= open(audio_path, \\\"rb\\\")\\n        transcript = client.audio.translations.create(\\n          model=\\\"whisper-1\\\", \\n          file=audio_file\\n        )\\n        self.status = transcript.text\\n        return transcript.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"audio_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"audio_path\",\"display_name\":\"Audio path\",\"advanced\":false,\"input_types\":[\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"aaaaa\"},\"openAI_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openAI_key\",\"display_name\":\"OpenAI key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Transcript and translate any audio to english\",\"base_classes\":[\"str\"],\"display_name\":\"OpenAI STT english tra\",\"custom_fields\":{\"audio_path\":null,\"openAI_key\":null},\"output_types\":[\"str\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-Qhbd7\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-224.36198532285903,\"y\":-39.03047722134913}}],\"edges\":[],\"viewport\":{\"x\":433.8372868055629,\"y\":250.9611989970935,\"zoom\":0.8467453123625275}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:16:56.971879\",\"folder\":null,\"id\":\"122eee5d-9734-4e51-9da5-b39bead64a8d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Wing\",\"description\":\"Your Toolkit for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:23.227017\",\"folder\":null,\"id\":\"171d0063-6446-4c6a-8f5b-786a38951d44\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mad Boyd\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.063781\",\"folder\":null,\"id\":\"3a7af50c-6555-4004-a86e-1ea37e477900\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Boring Dewey\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.065404\",\"folder\":null,\"id\":\"dc4b4235-a550-41e2-9ddb-bcb352a1bc03\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nauseous Carroll\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.087501\",\"folder\":null,\"id\":\"9550e2bf-db7a-41f5-84e5-177a181bbeda\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Silly Engelbart\",\"description\":\"Generate, Innovate, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.112543\",\"folder\":null,\"id\":\"6a3a24bb-01cb-4d8e-8d17-0dc92d257322\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sassy Khayyam\",\"description\":\"Innovation in Interaction, Revolution in Revenue.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.147631\",\"folder\":null,\"id\":\"8d372f5e-ca12-4ea8-a1a1-8846afa72692\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Bell\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.212921\",\"folder\":null,\"id\":\"800f8785-0f41-4db3-aef8-9e3de5250526\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sleepy Bassi\",\"description\":\"Unleashing Business Potential through Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.395729\",\"folder\":null,\"id\":\"4589607a-065b-4a8f-ba52-5045d7b04086\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Volhard\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.263971\",\"folder\":null,\"id\":\"b2440ed8-44fa-4684-adf7-b5e84bff6577\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Ecstatic Poincare\",\"description\":\"Your Passport to Linguistic Landscapes.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.377270\",\"folder\":null,\"id\":\"b996f514-e0b8-432f-969b-7276630a8f4b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grave Zuse\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.406385\",\"folder\":null,\"id\":\"6e2e9c12-0afc-499e-acdd-adf4b5f7d4fc\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Big Hopper\",\"description\":\"Conversation Catalyst Engine.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.413014\",\"folder\":null,\"id\":\"e020f1a5-aa12-45e7-ba50-6eb64a735e60\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Jang\",\"description\":\"Conversation Catalyst Engine.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.433045\",\"folder\":null,\"id\":\"ee58f892-b7b2-408e-b4b9-9d862fc315aa\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Ohm\",\"description\":\"Promptly Ingenious!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.403404\",\"folder\":null,\"id\":\"023a1fc3-8807-4167-b6b2-f4e5daf036f1\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Distracted Degrasse\",\"description\":\"Bridging Prompts for Brilliance.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.411655\",\"folder\":null,\"id\":\"085f106f-c1e9-4a0f-ba31-d2fafe685d9c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Exuberant Volta\",\"description\":\"Catalyzing Business Growth through Conversational AI.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.408697\",\"folder\":null,\"id\":\"14481bb5-1353-452f-9359-d38c9419d79c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Bose\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:21.774940\",\"folder\":null,\"id\":\"e9316292-4ee1-441b-8327-0b09a7831fe9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Thirsty Easley\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.416556\",\"folder\":null,\"id\":\"668806ba-3efa-44de-aeb7-4ac082ba9172\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Joyous Mestorf\",\"description\":\"Generate, Innovate, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.484048\",\"folder\":null,\"id\":\"3fc0a371-aada-4450-9d17-33d3cc05c870\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Playful Franklin\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.509095\",\"folder\":null,\"id\":\"af967c98-5f08-4ee2-b1ce-6c16b4f9ebe2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Bhaskara\",\"description\":\"Empowering Enterprises with Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.508465\",\"folder\":null,\"id\":\"758c4164-b521-45d0-a15f-d49480e312eb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Funky Edison\",\"description\":\"Unravel the Art of Articulation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.602296\",\"folder\":null,\"id\":\"f9d3d30f-8859-433f-bafc-ccf1a7196e35\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Silly Ride\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.604061\",\"folder\":null,\"id\":\"0142bca5-eb61-42ed-9917-70c4c0f54eb0\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Noyce\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.603113\",\"folder\":null,\"id\":\"0b63d036-4669-4ceb-8ea4-34035340df77\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cocky Bhabha\",\"description\":\"Language Engineering Excellence.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.345767\",\"folder\":null,\"id\":\"8b9a66d4-a924-4b84-a2b5-5dd0645ac07a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Thirsty Zobell\",\"description\":\"Unleashing Business Potential through Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.722319\",\"folder\":null,\"id\":\"c912fd6b-b32d-409f-a0e5-c6249b066429\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Fervent Shaw\",\"description\":\"Language Architect at Work!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.750779\",\"folder\":null,\"id\":\"9d755cd4-c652-43e0-a68d-75a5475ce7a3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Giggly Newton\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.786602\",\"folder\":null,\"id\":\"0d3af7de-1ada-4c43-a69f-1bfad370ccfc\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Modest Yalow\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.792245\",\"folder\":null,\"id\":\"b6444376-4162-436b-8b40-f5a6afc850db\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sad Bhabha\",\"description\":\"Empowering Enterprises with Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.890349\",\"folder\":null,\"id\":\"d90af439-fb34-4d27-98f2-06f7f9a9ed8c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Spirited Hoover\",\"description\":\"The Pinnacle of Prompt Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.905750\",\"folder\":null,\"id\":\"31597ce2-de3c-490b-9ead-3f702f63cfd9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Trusting Davinci\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:08.001400\",\"folder\":null,\"id\":\"b43c63e9-a257-4a53-8acc-049e13706ac2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"23\",\"description\":\"23\",\"data\":{\"nodes\":[{\"width\":384,\"height\":467,\"id\":\"PromptTemplate-K7xiS\",\"type\":\"genericNode\",\"position\":{\"x\":-658.2250903773149,\"y\":809.352046606987},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"dasdas\",\"dasdasd\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"{dasdas}\\n{dasdasd}\\n\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"dasdas\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"dasdas\",\"display_name\":\"dasdas\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"dasdasd\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"dasdasd\",\"display_name\":\"dasdasd\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"PromptTemplate\",\"BasePromptTemplate\",\"StringPromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"dasdas\",\"dasdasd\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-K7xiS\"},\"selected\":false,\"positionAbsolute\":{\"x\":-658.2250903773149,\"y\":809.352046606987},\"dragging\":false},{\"width\":384,\"height\":366,\"id\":\"AirbyteJSONLoader-DXfcM\",\"type\":\"genericNode\",\"position\":{\"x\":-1110.8267574563533,\"y\":569.1107380883907},\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"suffixes\":[\".json\"],\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\"json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-DXfcM\"},\"selected\":false,\"positionAbsolute\":{\"x\":-1110.8267574563533,\"y\":569.1107380883907},\"dragging\":false},{\"width\":384,\"height\":376,\"id\":\"PromptRunner-ckWMH\",\"type\":\"genericNode\",\"position\":{\"x\":-1149.4746387825978,\"y\":992.3970573758324},\"data\":{\"type\":\"PromptRunner\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.prompts import PromptTemplate\\nfrom langchain.schema import Document\\n\\n\\nclass PromptRunner(CustomComponent):\\n    display_name: str = \\\"Prompt Runner\\\"\\n    description: str = \\\"Run a Chain with the given PromptTemplate\\\"\\n    beta: bool = True\\n    field_config = {\\n        \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n        \\\"prompt\\\": {\\n            \\\"display_name\\\": \\\"Prompt Template\\\",\\n            \\\"info\\\": \\\"Make sure the prompt has all variables filled.\\\",\\n        },\\n        \\\"code\\\": {\\\"show\\\": False},\\n    }\\n\\n    def build(self, llm: BaseLLM, prompt: PromptTemplate, inputs: dict = {}) -> Document:\\n        chain = prompt | llm\\n        # The input is an empty dict because the prompt is already filled\\n        result = chain.invoke(input=inputs)\\n        if hasattr(result, \\\"content\\\"):\\n            result = result.content\\n        self.repr_value = result\\n        return Document(page_content=str(result))\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"inputs\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"inputs\",\"display_name\":\"inputs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLM\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt Template\",\"advanced\":false,\"dynamic\":false,\"info\":\"Make sure the prompt has all variables filled.\",\"type\":\"PromptTemplate\",\"list\":false}},\"description\":\"Run a Chain with the given PromptTemplate\",\"base_classes\":[\"Document\"],\"display_name\":\"Prompt Runner\",\"custom_fields\":{\"inputs\":null,\"llm\":null,\"prompt\":null},\"output_types\":[\"PromptRunner\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"PromptRunner-ckWMH\"},\"selected\":false,\"positionAbsolute\":{\"x\":-1149.4746387825978,\"y\":992.3970573758324},\"dragging\":false}],\"edges\":[{\"source\":\"PromptRunner-ckWMH\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œPromptRunnerœ,œidœ:œPromptRunner-ckWMHœ}\",\"target\":\"PromptTemplate-K7xiS\",\"targetHandle\":\"{œfieldNameœ:œdasdasdœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"dasdasd\",\"id\":\"PromptTemplate-K7xiS\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"PromptRunner\",\"id\":\"PromptRunner-ckWMH\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-PromptRunner-ckWMH{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œPromptRunnerœ,œidœ:œPromptRunner-ckWMHœ}-PromptTemplate-K7xiS{œfieldNameœ:œdasdasdœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\"},{\"source\":\"AirbyteJSONLoader-DXfcM\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œAirbyteJSONLoaderœ,œidœ:œAirbyteJSONLoader-DXfcMœ}\",\"target\":\"PromptTemplate-K7xiS\",\"targetHandle\":\"{œfieldNameœ:œdasdasœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"dasdas\",\"id\":\"PromptTemplate-K7xiS\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"AirbyteJSONLoader\",\"id\":\"AirbyteJSONLoader-DXfcM\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-AirbyteJSONLoader-DXfcM{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œAirbyteJSONLoaderœ,œidœ:œAirbyteJSONLoader-DXfcMœ}-PromptTemplate-K7xiS{œfieldNameœ:œdasdasœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\"}],\"viewport\":{\"x\":721.09842496776,\"y\":-303.59762799439625,\"zoom\":0.6417129487814537}},\"is_component\":false,\"updated_at\":\"2023-12-08T22:52:14.560323\",\"folder\":null,\"id\":\"8533c46e-21fd-4b92-b68e-1086ea86c72d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Stonebraker\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:26:42.332360\",\"folder\":null,\"id\":\"92bc0875-4a73-44f2-9410-3b8342e404bf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search (1)\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n    display_name: str = \\\"Metaphor Search\\\"\\n    description: str = \\\"Search in Metaphor with a custom string.\\\"\\n    beta = True\\n    \\n    def build_config(self):\\n        return {\\n        \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"},   \\n        \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n        \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\",  \\\"is_list\\\": True},\\n        \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n        \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n        \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n        \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n    }\\n\\n    def build(\\n        self,\\n        methaphor_client: Data,\\n        query: str,\\n        search_type: str='keyword',\\n        search_num_results: int = 5,\\n        include_domains: List[str]= [\\\"youtube.com\\\"],\\n        use_autoprompt: bool = False,\\n        start_date: str=\\\"2023-01-01\\\",\\n        \\n    ) -> Data:\\n        \\n        results = []\\n        for domain in include_domains:\\n            response = methaphor_client.search(\\n                    query,\\n                    num_results=int(search_num_results),\\n                    include_domains=[domain],\\n                    use_autoprompt=use_autoprompt,\\n                    type=search_type,\\n                    # start_crawl_date=start_date,\\n                    start_published_date=start_date\\n                )\\n            results.extend(response.results)\\n    \\n        self.repr_value = results\\n\\n        return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-dMB5d\"},\"id\":\"CustomComponent-dMB5d\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:43.668665\",\"folder\":null,\"id\":\"912265df-9b87-4b30-a585-1ca59b944391\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search (2)\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n    display_name: str = \\\"Metaphor Search\\\"\\n    description: str = \\\"Search in Metaphor with a custom string.\\\"\\n    beta = True\\n    \\n    def build_config(self):\\n        return {\\n        \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"},   \\n        \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n        \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\",  \\\"is_list\\\": True},\\n        \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n        \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n        \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n        \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n    }\\n\\n    def build(\\n        self,\\n        methaphor_client: Data,\\n        query: str,\\n        search_type: str='keyword',\\n        search_num_results: int = 5,\\n        include_domains: List[str]= [\\\"youtube.com\\\"],\\n        use_autoprompt: bool = False,\\n        start_date: str=\\\"2023-01-01\\\",\\n        \\n    ) -> Data:\\n        \\n        results = []\\n        for domain in include_domains:\\n            response = methaphor_client.search(\\n                    query,\\n                    num_results=int(search_num_results),\\n                    include_domains=[domain],\\n                    use_autoprompt=use_autoprompt,\\n                    type=search_type,\\n                    # start_crawl_date=start_date,\\n                    start_published_date=start_date\\n                )\\n            results.extend(response.results)\\n    \\n        self.repr_value = results\\n\\n        return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-ipifC\"},\"id\":\"CustomComponent-ipifC\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:49.799612\",\"folder\":null,\"id\":\"ca83ee08-2f93-427d-9897-80fef6dd5447\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n    display_name: str = \\\"Metaphor Search\\\"\\n    description: str = \\\"Search in Metaphor with a custom string.\\\"\\n    beta = True\\n    \\n    def build_config(self):\\n        return {\\n        \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"},   \\n        \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n        \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\",  \\\"is_list\\\": True},\\n        \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n        \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n        \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n        \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n    }\\n\\n    def build(\\n        self,\\n        methaphor_client: Data,\\n        query: str,\\n        search_type: str='keyword',\\n        search_num_results: int = 5,\\n        include_domains: List[str]= [\\\"youtube.com\\\"],\\n        use_autoprompt: bool = False,\\n        start_date: str=\\\"2023-01-01\\\",\\n        \\n    ) -> Data:\\n        \\n        results = []\\n        for domain in include_domains:\\n            response = methaphor_client.search(\\n                    query,\\n                    num_results=int(search_num_results),\\n                    include_domains=[domain],\\n                    use_autoprompt=use_autoprompt,\\n                    type=search_type,\\n                    # start_crawl_date=start_date,\\n                    start_published_date=start_date\\n                )\\n            results.extend(response.results)\\n    \\n        self.repr_value = results\\n\\n        return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-Y4qL7\"},\"id\":\"CustomComponent-Y4qL7\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:53.719960\",\"folder\":null,\"id\":\"5847602b-769a-4a82-82e8-a70f54a59929\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Williams\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:27:45.691254\",\"folder\":null,\"id\":\"0e3bdba9-127a-4399-81a4-2865b70a4a47\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Shared Component\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":328,\"id\":\"CSVAgent-TK9Ea\",\"type\":\"genericNode\",\"position\":{\"x\":251.25514772667083,\"y\":160.7424529887874},\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"beta\":false,\"error\":null},\"id\":\"CSVAgent-TK9Ea\"},\"positionAbsolute\":{\"x\":251.25514772667083,\"y\":160.7424529887874}}],\"edges\":[],\"viewport\":{\"x\":104.85568116317398,\"y\":88.26375874183478,\"zoom\":0.7169776240079145}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:28:34.119070\",\"folder\":null,\"id\":\"29c1a247-47b0-457b-8666-7c0a67dc72b0\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"teste cristhian\",\"description\":\"11111\",\"data\":{\"nodes\":[{\"width\":384,\"height\":328,\"id\":\"CSVAgent-P5wrB\",\"type\":\"genericNode\",\"position\":{\"x\":251.25514772667083,\"y\":160.7424529887874},\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"beta\":false,\"error\":null},\"id\":\"CSVAgent-P5wrB\"},\"positionAbsolute\":{\"x\":251.25514772667083,\"y\":160.7424529887874}},{\"width\":384,\"height\":626,\"id\":\"OpenAI-zpihD\",\"type\":\"genericNode\",\"position\":{\"x\":-56.983202536768374,\"y\":61.715652677908665},\"data\":{\"type\":\"OpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"batch_size\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":20,\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"best_of\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"best_of\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"frequency_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"frequency_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"logit_bias\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"logit_bias\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-babbage-001\",\"password\":false,\"options\":[\"text-davinci-003\",\"text-davinci-002\",\"text-curie-001\",\"text-babbage-001\",\"text-ada-001\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false,\"value\":\"dasdasdasdsadasdas\"},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"presence_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"presence_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"1.4\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"top_p\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"top_p\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"OpenAI\"},\"description\":\"OpenAI large language models.\",\"base_classes\":[\"OpenAI\",\"BaseLanguageModel\",\"BaseLLM\",\"BaseOpenAI\"],\"display_name\":\"OpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAI-zpihD\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-56.983202536768374,\"y\":61.715652677908665}}],\"edges\":[],\"viewport\":{\"x\":104.85568116317398,\"y\":88.26375874183478,\"zoom\":0.7169776240079145}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:40:48.453096\",\"folder\":null,\"id\":\"2e59d013-2acb-49a6-915b-9231a7e6eb58\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVAgent (1)\",\"description\":\"Construct a CSV agent from a CSV and tools.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVAgent-jsHqy\"},\"id\":\"CSVAgent-jsHqy\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:31:17.317322\",\"folder\":null,\"id\":\"ab1034a9-9b5b-4c65-bf6e-9f098a403942\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Suspicious Wilsonfasdfsd\",\"description\":\"Building Linguistic Labyrinths.fasdfads\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T14:43:45.298121\",\"folder\":null,\"id\":\"7d91c0c5-fba6-4c60-b4d1-11d430ef357a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (1)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-pAHh6\"},\"id\":\"AirbyteJSONLoader-pAHh6\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:47:58.573137\",\"folder\":null,\"id\":\"f0cc4292-97cc-4748-803d-949e30dcf661\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"ff2\":\"d3bbd\"},{\"w\":\"bvd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-0zU2Q\"},\"id\":\"AirbyteJSONLoader-0zU2Q\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:50:09.035318\",\"folder\":null,\"id\":\"5e3c0d55-1a00-4e15-9821-0c625c6415ff\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVAgent\",\"description\":\"Construct a CSV agent from a CSV and tools.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVAgent-Ub1Xe\"},\"id\":\"CSVAgent-Ub1Xe\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:50:16.985419\",\"folder\":null,\"id\":\"baee8061-4788-4ce6-928f-c6ce1ecb443c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Heisenberg\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":366,\"id\":\"CSVLoader-RMUx9\",\"type\":\"genericNode\",\"position\":{\"x\":111,\"y\":345.51250076293945},\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"z2b\":\"z9\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null},\"id\":\"CSVLoader-RMUx9\"},\"positionAbsolute\":{\"x\":111,\"y\":345.51250076293945}}],\"edges\":[],\"viewport\":{\"x\":0,\"y\":0,\"zoom\":1}},\"is_component\":false,\"updated_at\":\"2023-12-09T14:38:40.291137\",\"folder\":null,\"id\":\"109e9629-d569-4555-9d40-42203a5ed035\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CohereEmbeddings\",\"description\":\"Cohere embedding models.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CohereEmbeddings\",\"node\":{\"template\":{\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cohere_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"cohere_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"embed-english-v2.0\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"truncate\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"truncate\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"user_agent\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"langchain\",\"password\":false,\"name\":\"user_agent\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"CohereEmbeddings\"},\"description\":\"Cohere embedding models.\",\"base_classes\":[\"CohereEmbeddings\",\"Embeddings\"],\"display_name\":\"CohereEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/cohere\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CohereEmbeddings-HFUAf\"},\"id\":\"CohereEmbeddings-HFUAf\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:50:46.172344\",\"folder\":null,\"id\":\"662d8040-d47c-40db-bda1-66489a1c9d24\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (1)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-3wrib\"},\"id\":\"CSVLoader-3wrib\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:56:11.662526\",\"folder\":null,\"id\":\"4fae6aec-ddbd-498d-a4d1-ca0290f6a5ad\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (2)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-VEjyx\"},\"id\":\"CSVLoader-VEjyx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:57:37.560784\",\"folder\":null,\"id\":\"d80635ee-966c-41f2-981c-afa2c388ac6e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (3)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-PIhOc\"},\"id\":\"CSVLoader-PIhOc\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:00:27.991966\",\"folder\":null,\"id\":\"c5cc4c32-77c8-4889-a9f8-2632466b7366\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (4)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-deB43\"},\"id\":\"CSVLoader-deB43\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:00:42.509243\",\"folder\":null,\"id\":\"0ab59938-ccf4-4bb9-b285-1f5da38648f0\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-mdkLm\"},\"id\":\"CSVLoader-mdkLm\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:02:17.458354\",\"folder\":null,\"id\":\"f127b7e7-4149-492e-8998-6b1b35ec4153\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (5)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-FRc6Y\"},\"id\":\"CSVLoader-FRc6Y\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:02:26.958867\",\"folder\":null,\"id\":\"a870a096-725c-4914-add0-8d57d710b7e5\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (2)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-Z0uol\"},\"id\":\"AirbyteJSONLoader-Z0uol\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:03:33.764117\",\"folder\":null,\"id\":\"2a37c76c-65c8-4c01-a72d-eb46f3d41a56\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-28ASv\"},\"id\":\"AmazonBedrockEmbeddings-28ASv\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:03:41.066618\",\"folder\":null,\"id\":\"850ba4e6-96ca-49a7-9b0c-4b7048fd52c8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"ConversationBufferMemory\",\"description\":\"Buffer for storing conversation memory.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"ConversationBufferMemory\",\"node\":{\"template\":{\"chat_memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMessageHistory\",\"list\":false},\"ai_prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"AI\",\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"human_prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"Human\",\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"input_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\",\"type\":\"str\",\"list\":false},\"memory_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"output_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\",\"type\":\"str\",\"list\":false},\"return_messages\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ConversationBufferMemory\"},\"description\":\"Buffer for storing conversation memory.\",\"base_classes\":[\"BaseMemory\",\"BaseChatMemory\",\"ConversationBufferMemory\"],\"display_name\":\"ConversationBufferMemory\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/buffer\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"ConversationBufferMemory-WaoLx\"},\"id\":\"ConversationBufferMemory-WaoLx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:04:46.058568\",\"folder\":null,\"id\":\"be650940-0449-4eb0-a708-056310f924fd\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (1)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-Bs5PG\"},\"id\":\"AmazonBedrockEmbeddings-Bs5PG\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:05:50.570800\",\"folder\":null,\"id\":\"53ad1fe2-f3af-4354-86e0-eb141ce12859\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (2)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-zSZ4t\"},\"id\":\"AmazonBedrockEmbeddings-zSZ4t\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:06:11.415088\",\"folder\":null,\"id\":\"e9ed1c90-146e-452d-8ccd-ebf2e0da4331\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (3)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-Bxhlt\"},\"id\":\"AmazonBedrockEmbeddings-Bxhlt\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:07:06.411108\",\"folder\":null,\"id\":\"83783c57-64e3-41a6-aa7e-ed82f80f1e53\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (6)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"z2b\":\"z9\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-2pn2o\"},\"id\":\"CSVLoader-2pn2o\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:38:30.706258\",\"folder\":null,\"id\":\"c4ae9de6-9df3-4d3c-afc9-1752af4fecd7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Agent Initializer\",\"description\":\"Initialize a Langchain Agent.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AgentInitializer\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, List, Union\\n\\nfrom langchain.agents import AgentExecutor, AgentType, initialize_agent, types\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool\\n\\n\\nclass AgentInitializerComponent(CustomComponent):\\n    display_name: str = \\\"Agent Initializer\\\"\\n    description: str = \\\"Initialize a Langchain Agent.\\\"\\n    documentation: str = \\\"https://python.langchain.com/docs/modules/agents/agent_types/\\\"\\n\\n    def build_config(self):\\n        agents = list(types.AGENT_TO_CLASS.keys())\\n        # field_type and required are optional\\n        return {\\n            \\\"agent\\\": {\\\"options\\\": agents, \\\"value\\\": agents[0], \\\"display_name\\\": \\\"Agent Type\\\"},\\n            \\\"max_iterations\\\": {\\\"display_name\\\": \\\"Max Iterations\\\", \\\"value\\\": 10},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"Language Model\\\"},\\n        }\\n\\n    def build(\\n        self, agent: str, llm: BaseLanguageModel, memory: BaseChatMemory, tools: List[Tool], max_iterations: int\\n    ) -> Union[AgentExecutor, Callable]:\\n        agent = AgentType(agent)\\n        return initialize_agent(\\n            tools=tools,\\n            llm=llm,\\n            agent=agent,\\n            memory=memory,\\n            return_intermediate_steps=True,\\n            handle_parsing_errors=True,\\n            max_iterations=max_iterations,\\n        )\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"agent\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"zero-shot-react-description\",\"password\":false,\"options\":[\"zero-shot-react-description\",\"react-docstore\",\"self-ask-with-search\",\"conversational-react-description\",\"chat-zero-shot-react-description\",\"chat-conversational-react-description\",\"structured-chat-zero-shot-react-description\",\"openai-functions\",\"openai-multi-functions\",\"JsonAgent\",\"CSVAgent\",\"AgentInitializer\",\"VectorStoreAgent\",\"VectorStoreRouterAgent\",\"SQLAgent\"],\"name\":\"agent\",\"display_name\":\"Agent Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"Language Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"max_iterations\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":10,\"password\":false,\"name\":\"max_iterations\",\"display_name\":\"Max Iterations\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"memory\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMemory\",\"list\":false},\"tools\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Tool\",\"list\":true}},\"description\":\"Initialize a Langchain Agent.\",\"base_classes\":[\"Chain\",\"AgentExecutor\",\"Callable\"],\"display_name\":\"Agent Initializer\",\"custom_fields\":{\"agent\":null,\"llm\":null,\"max_iterations\":null,\"memory\":null,\"tools\":null},\"output_types\":[\"AgentInitializer\"],\"documentation\":\"https://python.langchain.com/docs/modules/agents/agent_types/\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AgentInitializer-MJrAC\"},\"id\":\"AgentInitializer-MJrAC\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:42:54.715163\",\"folder\":null,\"id\":\"ff84b5f9-5680-4084-a9f1-7d94fe675486\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Agent Initializer (1)\",\"description\":\"Initialize a Langchain Agent.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AgentInitializer\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, List, Union\\n\\nfrom langchain.agents import AgentExecutor, AgentType, initialize_agent, types\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool\\n\\n\\nclass AgentInitializerComponent(CustomComponent):\\n    display_name: str = \\\"Agent Initializer\\\"\\n    description: str = \\\"Initialize a Langchain Agent.\\\"\\n    documentation: str = \\\"https://python.langchain.com/docs/modules/agents/agent_types/\\\"\\n\\n    def build_config(self):\\n        agents = list(types.AGENT_TO_CLASS.keys())\\n        # field_type and required are optional\\n        return {\\n            \\\"agent\\\": {\\\"options\\\": agents, \\\"value\\\": agents[0], \\\"display_name\\\": \\\"Agent Type\\\"},\\n            \\\"max_iterations\\\": {\\\"display_name\\\": \\\"Max Iterations\\\", \\\"value\\\": 10},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"Language Model\\\"},\\n        }\\n\\n    def build(\\n        self, agent: str, llm: BaseLanguageModel, memory: BaseChatMemory, tools: List[Tool], max_iterations: int\\n    ) -> Union[AgentExecutor, Callable]:\\n        agent = AgentType(agent)\\n        return initialize_agent(\\n            tools=tools,\\n            llm=llm,\\n            agent=agent,\\n            memory=memory,\\n            return_intermediate_steps=True,\\n            handle_parsing_errors=True,\\n            max_iterations=max_iterations,\\n        )\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"agent\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"zero-shot-react-description\",\"password\":false,\"options\":[\"zero-shot-react-description\",\"react-docstore\",\"self-ask-with-search\",\"conversational-react-description\",\"chat-zero-shot-react-description\",\"chat-conversational-react-description\",\"structured-chat-zero-shot-react-description\",\"openai-functions\",\"openai-multi-functions\",\"JsonAgent\",\"CSVAgent\",\"AgentInitializer\",\"VectorStoreAgent\",\"VectorStoreRouterAgent\",\"SQLAgent\"],\"name\":\"agent\",\"display_name\":\"Agent Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"Language Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"max_iterations\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":10,\"password\":false,\"name\":\"max_iterations\",\"display_name\":\"Max Iterations\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"memory\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMemory\",\"list\":false},\"tools\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Tool\",\"list\":true}},\"description\":\"Initialize a Langchain Agent.\",\"base_classes\":[\"Chain\",\"AgentExecutor\",\"Callable\"],\"display_name\":\"Agent Initializer\",\"custom_fields\":{\"agent\":null,\"llm\":null,\"max_iterations\":null,\"memory\":null,\"tools\":null},\"output_types\":[\"AgentInitializer\"],\"documentation\":\"https://python.langchain.com/docs/modules/agents/agent_types/\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AgentInitializer-3lcZ4\"},\"id\":\"AgentInitializer-3lcZ4\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:43:20.819934\",\"folder\":null,\"id\":\"97f5db9f-d6cc-4555-88fb-3be102c67814\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Exuberant Banach\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T14:52:49.951416\",\"folder\":null,\"id\":\"a600acd1-213a-4ce7-8648-ab2ee59f5918\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (3)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-JhQtx\"},\"id\":\"AirbyteJSONLoader-JhQtx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:44:49.587337\",\"folder\":null,\"id\":\"07c52ad7-ca52-4cdd-ab40-74a91dbad0dd\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (4)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-bIvDc\"},\"id\":\"AirbyteJSONLoader-bIvDc\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:45:13.458500\",\"folder\":null,\"id\":\"53e4d256-3653-444b-b8e0-fb97b3ae5c7e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (5)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-2BLS8\"},\"id\":\"AirbyteJSONLoader-2BLS8\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:45:44.461699\",\"folder\":null,\"id\":\"b5158cc1-c6b8-4e25-907a-bc7e7637aa38\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (4)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-NsBzN\"},\"id\":\"AmazonBedrockEmbeddings-NsBzN\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:50:29.791575\",\"folder\":null,\"id\":\"3fb77f72-1be7-4ce0-ae89-a82b0eee9acf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Golick\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.707854\",\"folder\":null,\"id\":\"9c5d21c2-ea82-4cf4-a591-c3d3fd3f13e6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Davinci (1)\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.761150\",\"folder\":null,\"id\":\"f8e2e16e-129c-4116-9626-2c6b524d97b7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Degrasse\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.764440\",\"folder\":null,\"id\":\"d7f4f7b5-effe-4834-8cab-4f2fc4f6e9de\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Prickly Archimedes\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.767546\",\"folder\":null,\"id\":\"2265d813-4a87-410f-b06a-65e35db8219e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Boring Heyrovsky\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.765105\",\"folder\":null,\"id\":\"10bfd881-e67e-4c33-965d-ee041695edce\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nostalgic Carroll\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.811794\",\"folder\":null,\"id\":\"63fa5653-4513-47f2-8dfa-baeb1d981f93\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Perlman\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.814993\",\"folder\":null,\"id\":\"f4bc5945-20d9-4703-a5bb-6a4a3ef7fc8e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hilarious Stallman\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.813144\",\"folder\":null,\"id\":\"8d8b80f9-4b74-4cd5-bc5c-08a32c4d2b95\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Awesome Einstein\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:19.518262\",\"folder\":null,\"id\":\"21808fd7-a492-4e29-8863-301c2785f542\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Funky Swanson\",\"description\":\"Sculpting Language with Precision.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.185637\",\"folder\":null,\"id\":\"7752299a-4aa9-44db-8d9c-5c4a2ac1b071\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Romantic Pascal\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.223064\",\"folder\":null,\"id\":\"78f48a13-6a9f-42ce-9d58-ec9b63b381d2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Bartik\",\"description\":\"Sculpting Language with Precision.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.239758\",\"folder\":null,\"id\":\"38074091-3d7c-4d42-b61b-ae195c1b8a4e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Condescending Joliot\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.271996\",\"folder\":null,\"id\":\"773020aa-5c2d-4632-ad9e-21276861ab93\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Kalam\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.283929\",\"folder\":null,\"id\":\"0092d077-6d31-401f-a739-b164476b90ed\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grinning Bhabha\",\"description\":\"Your Passport to Linguistic Landscapes.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.467739\",\"folder\":null,\"id\":\"4a395211-712d-4dd2-b3bb-e6b19200f15d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Babbage\",\"description\":\"Design Dialogues with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.742990\",\"folder\":null,\"id\":\"3f086a82-3e29-4328-9da8-e02dc9201744\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tiny Volta\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:24:18.594247\",\"folder\":null,\"id\":\"659b8289-c8e8-413d-9b2b-51e68411f170\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Radiant Jennings\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:24:42.640309\",\"folder\":null,\"id\":\"f55f0640-d47e-4471-b1ba-3411d38ecac5\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Distracted Shaw\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:24:58.376247\",\"folder\":null,\"id\":\"a039811e-449a-4244-83ed-4ddd731a0921\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Peppy Murdock (1)\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:25:14.674524\",\"folder\":null,\"id\":\"0faf6144-6ca6-4f64-a343-665ae54774ef\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Volta\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:26:50.418029\",\"folder\":null,\"id\":\"c5d149d0-c401-4f5e-b79f-2abcc7b8d98d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Bubbly Curie\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:27:10.900899\",\"folder\":null,\"id\":\"7bb2d226-9740-433d-861f-a499632c5a13\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Radiant Nobel\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:29:11.541630\",\"folder\":null,\"id\":\"947906d8-75ea-470c-a8e2-cc80c5d3bdbb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cheerful Northcutt\",\"description\":\"Unleashing Business Potential through Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:29:37.169791\",\"folder\":null,\"id\":\"56f109fd-2c18-42ed-a9b2-089a678a0c11\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Suspicious Khayyam\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:30:24.686359\",\"folder\":null,\"id\":\"551d7bfa-49aa-43f1-a779-e47eabc2aaf2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Spence\",\"description\":\"Create, Curate, Communicate with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:30:47.738472\",\"folder\":null,\"id\":\"12aef128-130e-492e-bf84-62d4cb4cd456\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Lavoisier\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:31:43.272365\",\"folder\":null,\"id\":\"9952c044-6903-4fba-a270-6ed0b90c93c9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Upbeat Bose\",\"description\":\"Unravel the Art of Articulation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:32:23.972035\",\"folder\":null,\"id\":\"65f49582-c9fa-4c67-a2bc-4e8fa73ca731\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tender Perlman\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:33:26.984083\",\"folder\":null,\"id\":\"9ae57fe2-c677-47fa-a059-7d3d915a1178\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sharp Cori\",\"description\":\"Conversation Catalyst Engine.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:33:52.377359\",\"folder\":null,\"id\":\"2920dde2-5c24-4fe0-9c06-ef86b5a16a99\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"}]"
+          },
+          "headersSize": -1,
+          "bodySize": -1,
+          "redirectURL": ""
+        },
+        "cache": {},
+        "timings": { "send": -1, "wait": -1, "receive": 1.309 }
+      },
+      {
+        "startedDateTime": "2023-12-11T18:55:08.950Z",
+        "time": 0.595,
+        "request": {
+          "method": "GET",
+          "url": "http://localhost:3000/api/v1/build/2920dde2-5c24-4fe0-9c06-ef86b5a16a99/status",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            { "name": "Accept", "value": "application/json, text/plain, */*" },
+            { "name": "Accept-Encoding", "value": "gzip, deflate, br" },
+            { "name": "Accept-Language", "value": "en-US,en;q=0.9" },
+            {
+              "name": "Authorization",
+              "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20"
+            },
+            { "name": "Connection", "value": "keep-alive" },
+            {
+              "name": "Cookie",
+              "value": "access_tkn_lflw=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20; refresh_tkn_lflw=auto"
+            },
+            { "name": "Host", "value": "localhost:3000" },
+            {
+              "name": "Referer",
+              "value": "http://localhost:3000/flow/2920dde2-5c24-4fe0-9c06-ef86b5a16a99"
+            },
+            { "name": "Sec-Fetch-Dest", "value": "empty" },
+            { "name": "Sec-Fetch-Mode", "value": "cors" },
+            { "name": "Sec-Fetch-Site", "value": "same-origin" },
+            {
+              "name": "User-Agent",
+              "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36"
+            },
+            {
+              "name": "sec-ch-ua",
+              "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\""
+            },
+            { "name": "sec-ch-ua-mobile", "value": "?0" },
+            { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
+          ],
+          "queryString": [],
+          "headersSize": -1,
+          "bodySize": -1
+        },
+        "response": {
+          "status": 200,
+          "statusText": "OK",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            { "name": "Access-Control-Allow-Origin", "value": "*" },
+            { "name": "connection", "value": "close" },
+            { "name": "content-length", "value": "15" },
+            { "name": "content-type", "value": "application/json" },
+            { "name": "date", "value": "Mon, 11 Dec 2023 18:55:08 GMT" },
+            { "name": "server", "value": "uvicorn" }
+          ],
+          "content": {
+            "size": -1,
+            "mimeType": "application/json",
+            "text": "{\"built\":false}"
+          },
+          "headersSize": -1,
+          "bodySize": -1,
+          "redirectURL": ""
+        },
+        "cache": {},
+        "timings": { "send": -1, "wait": -1, "receive": 0.595 }
+      }
+    ]
+  }
+}
diff --git a/src/frontend/harFiles/langflow.har b/src/frontend/harFiles/langflow.har
index edac6806e98..dcd0b23aaa4 100644
--- a/src/frontend/harFiles/langflow.har
+++ b/src/frontend/harFiles/langflow.har
@@ -1,229 +1,1622 @@
 {
-    "log": {
-      "version": "1.2",
-      "creator": {
-        "name": "Playwright",
-        "version": "1.37.1"
+  "log": {
+    "version": "1.2",
+    "creator": {
+      "name": "Playwright",
+      "version": "1.42.0"
+    },
+    "browser": {
+      "name": "chromium",
+      "version": "123.0.6312.4"
+    },
+    "entries": [
+      {
+        "startedDateTime": "2024-02-28T14:32:30.858Z",
+        "time": 0.77,
+        "request": {
+          "method": "GET",
+          "url": "http://localhost:3000/api/v1/version",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            {
+              "name": "Accept",
+              "value": "application/json, text/plain, */*"
+            },
+            {
+              "name": "Accept-Encoding",
+              "value": "gzip, deflate, br, zstd"
+            },
+            {
+              "name": "Accept-Language",
+              "value": "en-US,en;q=0.9"
+            },
+            {
+              "name": "Connection",
+              "value": "keep-alive"
+            },
+            {
+              "name": "Host",
+              "value": "localhost:3000"
+            },
+            {
+              "name": "Referer",
+              "value": "http://localhost:3000/"
+            },
+            {
+              "name": "Sec-Fetch-Dest",
+              "value": "empty"
+            },
+            {
+              "name": "Sec-Fetch-Mode",
+              "value": "cors"
+            },
+            {
+              "name": "Sec-Fetch-Site",
+              "value": "same-origin"
+            },
+            {
+              "name": "User-Agent",
+              "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/123.0.0.0 Safari/537.36"
+            },
+            {
+              "name": "sec-ch-ua",
+              "value": "\"Chromium\";v=\"123\", \"Not:A-Brand\";v=\"8\""
+            },
+            {
+              "name": "sec-ch-ua-mobile",
+              "value": "?0"
+            },
+            {
+              "name": "sec-ch-ua-platform",
+              "value": "\"Linux\""
+            }
+          ],
+          "queryString": [],
+          "headersSize": -1,
+          "bodySize": -1
+        },
+        "response": {
+          "status": 200,
+          "statusText": "OK",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            {
+              "name": "Access-Control-Allow-Origin",
+              "value": "*"
+            },
+            {
+              "name": "connection",
+              "value": "close"
+            },
+            {
+              "name": "content-length",
+              "value": "19"
+            },
+            {
+              "name": "content-type",
+              "value": "application/json"
+            },
+            {
+              "name": "date",
+              "value": "Wed, 28 Feb 2024 14:32:30 GMT"
+            },
+            {
+              "name": "server",
+              "value": "uvicorn"
+            }
+          ],
+          "content": {
+            "size": -1,
+            "mimeType": "application/json",
+            "text": "{\"version\":\"0.6.7\"}"
+          },
+          "headersSize": -1,
+          "bodySize": -1,
+          "redirectURL": ""
+        },
+        "cache": {},
+        "timings": {
+          "send": -1,
+          "wait": -1,
+          "receive": 0.77
+        }
       },
-      "browser": {
-        "name": "chromium",
-        "version": "116.0.5845.82"
+      {
+        "startedDateTime": "2024-02-28T14:32:30.859Z",
+        "time": 0.894,
+        "request": {
+          "method": "GET",
+          "url": "http://localhost:3000/api/v1/auto_login",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            {
+              "name": "Accept",
+              "value": "application/json, text/plain, */*"
+            },
+            {
+              "name": "Accept-Encoding",
+              "value": "gzip, deflate, br, zstd"
+            },
+            {
+              "name": "Accept-Language",
+              "value": "en-US,en;q=0.9"
+            },
+            {
+              "name": "Connection",
+              "value": "keep-alive"
+            },
+            {
+              "name": "Host",
+              "value": "localhost:3000"
+            },
+            {
+              "name": "Referer",
+              "value": "http://localhost:3000/"
+            },
+            {
+              "name": "Sec-Fetch-Dest",
+              "value": "empty"
+            },
+            {
+              "name": "Sec-Fetch-Mode",
+              "value": "cors"
+            },
+            {
+              "name": "Sec-Fetch-Site",
+              "value": "same-origin"
+            },
+            {
+              "name": "User-Agent",
+              "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/123.0.0.0 Safari/537.36"
+            },
+            {
+              "name": "sec-ch-ua",
+              "value": "\"Chromium\";v=\"123\", \"Not:A-Brand\";v=\"8\""
+            },
+            {
+              "name": "sec-ch-ua-mobile",
+              "value": "?0"
+            },
+            {
+              "name": "sec-ch-ua-platform",
+              "value": "\"Linux\""
+            }
+          ],
+          "queryString": [],
+          "headersSize": -1,
+          "bodySize": -1
+        },
+        "response": {
+          "status": 200,
+          "statusText": "OK",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            {
+              "name": "Access-Control-Allow-Origin",
+              "value": "*"
+            },
+            {
+              "name": "connection",
+              "value": "close"
+            },
+            {
+              "name": "content-length",
+              "value": "227"
+            },
+            {
+              "name": "content-type",
+              "value": "application/json"
+            },
+            {
+              "name": "date",
+              "value": "Wed, 28 Feb 2024 14:32:30 GMT"
+            },
+            {
+              "name": "server",
+              "value": "uvicorn"
+            },
+            {
+              "name": "set-cookie",
+              "value": "access_token_lf=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIwMzg5ZmIyOS1kYWE2LTQwOGMtYjhjYi1iOGZmOGQxNzM0M2EiLCJleHAiOjE3NDA2NjY3NTB9.ef5W5jwNOeVzU3JZ7ylLYf2MLEJcVxC4-fF7EK9Ecdc; Path=/; SameSite=none; Secure"
+            }
+          ],
+          "content": {
+            "size": -1,
+            "mimeType": "application/json",
+            "text": "{\"access_token\":\"eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIwMzg5ZmIyOS1kYWE2LTQwOGMtYjhjYi1iOGZmOGQxNzM0M2EiLCJleHAiOjE3NDA2NjY3NTB9.ef5W5jwNOeVzU3JZ7ylLYf2MLEJcVxC4-fF7EK9Ecdc\",\"refresh_token\":null,\"token_type\":\"bearer\"}"
+          },
+          "headersSize": -1,
+          "bodySize": -1,
+          "redirectURL": ""
+        },
+        "cache": {},
+        "timings": {
+          "send": -1,
+          "wait": -1,
+          "receive": 0.894
+        }
       },
-      "entries": [
-        {
-          "startedDateTime": "2023-08-31T14:55:35.502Z",
-          "time": 0.727,
-          "request": {
-            "method": "GET",
-            "url": "http://localhost:3000/api/v1/auto_login",
-            "httpVersion": "HTTP/1.1",
-            "cookies": [],
-            "headers": [
-              { "name": "Accept", "value": "application/json, text/plain, */*" },
-              { "name": "Accept-Encoding", "value": "gzip, deflate, br" },
-              { "name": "Accept-Language", "value": "en-US,en;q=0.9" },
-              { "name": "Connection", "value": "keep-alive" },
-              { "name": "Host", "value": "localhost:3000" },
-              { "name": "Referer", "value": "http://localhost:3000/" },
-              { "name": "Sec-Fetch-Dest", "value": "empty" },
-              { "name": "Sec-Fetch-Mode", "value": "cors" },
-              { "name": "Sec-Fetch-Site", "value": "same-origin" },
-              { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36" },
-              { "name": "sec-ch-ua", "value": "\"Not)A;Brand\";v=\"24\", \"Chromium\";v=\"116\"" },
-              { "name": "sec-ch-ua-mobile", "value": "?0" },
-              { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
-            ],
-            "queryString": [],
-            "headersSize": -1,
-            "bodySize": -1
+      {
+        "startedDateTime": "2024-02-28T14:32:30.937Z",
+        "time": 0.944,
+        "request": {
+          "method": "GET",
+          "url": "http://localhost:3000/api/v1/users/whoami",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            {
+              "name": "Accept",
+              "value": "application/json, text/plain, */*"
+            },
+            {
+              "name": "Accept-Encoding",
+              "value": "gzip, deflate, br, zstd"
+            },
+            {
+              "name": "Accept-Language",
+              "value": "en-US,en;q=0.9"
+            },
+            {
+              "name": "Authorization",
+              "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIwMzg5ZmIyOS1kYWE2LTQwOGMtYjhjYi1iOGZmOGQxNzM0M2EiLCJleHAiOjE3NDA2NjY3NTB9.ef5W5jwNOeVzU3JZ7ylLYf2MLEJcVxC4-fF7EK9Ecdc"
+            },
+            {
+              "name": "Connection",
+              "value": "keep-alive"
+            },
+            {
+              "name": "Cookie",
+              "value": "access_token_lf=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIwMzg5ZmIyOS1kYWE2LTQwOGMtYjhjYi1iOGZmOGQxNzM0M2EiLCJleHAiOjE3NDA2NjY3NTB9.ef5W5jwNOeVzU3JZ7ylLYf2MLEJcVxC4-fF7EK9Ecdc"
+            },
+            {
+              "name": "Host",
+              "value": "localhost:3000"
+            },
+            {
+              "name": "Referer",
+              "value": "http://localhost:3000/"
+            },
+            {
+              "name": "Sec-Fetch-Dest",
+              "value": "empty"
+            },
+            {
+              "name": "Sec-Fetch-Mode",
+              "value": "cors"
+            },
+            {
+              "name": "Sec-Fetch-Site",
+              "value": "same-origin"
+            },
+            {
+              "name": "User-Agent",
+              "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/123.0.0.0 Safari/537.36"
+            },
+            {
+              "name": "sec-ch-ua",
+              "value": "\"Chromium\";v=\"123\", \"Not:A-Brand\";v=\"8\""
+            },
+            {
+              "name": "sec-ch-ua-mobile",
+              "value": "?0"
+            },
+            {
+              "name": "sec-ch-ua-platform",
+              "value": "\"Linux\""
+            }
+          ],
+          "queryString": [],
+          "headersSize": -1,
+          "bodySize": -1
+        },
+        "response": {
+          "status": 200,
+          "statusText": "OK",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            {
+              "name": "Access-Control-Allow-Origin",
+              "value": "*"
+            },
+            {
+              "name": "connection",
+              "value": "close"
+            },
+            {
+              "name": "content-length",
+              "value": "253"
+            },
+            {
+              "name": "content-type",
+              "value": "application/json"
+            },
+            {
+              "name": "date",
+              "value": "Wed, 28 Feb 2024 14:32:30 GMT"
+            },
+            {
+              "name": "server",
+              "value": "uvicorn"
+            }
+          ],
+          "content": {
+            "size": -1,
+            "mimeType": "application/json",
+            "text": "{\"id\":\"0389fb29-daa6-408c-b8cb-b8ff8d17343a\",\"username\":\"langflow\",\"profile_image\":null,\"is_active\":true,\"is_superuser\":true,\"create_at\":\"2024-02-28T14:31:41.362911\",\"updated_at\":\"2024-02-28T14:32:30.864882\",\"last_login_at\":\"2024-02-28T14:32:30.863748\"}"
           },
-          "response": {
-            "status": 200,
-            "statusText": "OK",
-            "httpVersion": "HTTP/1.1",
-            "cookies": [],
-            "headers": [
-              { "name": "Access-Control-Allow-Origin", "value": "*" },
-              { "name": "connection", "value": "close" },
-              { "name": "content-length", "value": "227" },
-              { "name": "content-type", "value": "application/json" },
-              { "name": "date", "value": "Thu, 31 Aug 2023 14:55:34 GMT" },
-              { "name": "server", "value": "uvicorn" }
-            ],
-            "content": {
-              "size": -1,
-              "mimeType": "application/json",
-              "text": "{\"access_token\":\"eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJiNWIxYjFhZC05M2VjLTRjMjgtYWMxNy01OGMxNDQ0MWI1ZGQiLCJleHAiOjE3MjUwMjk3MzV9.8qhEtryWqA9RbwEP2s20umKdVE7J7jHGoogXZqxLNWk\",\"refresh_token\":null,\"token_type\":\"bearer\"}"
-            },
-            "headersSize": -1,
-            "bodySize": -1,
-            "redirectURL": ""
+          "headersSize": -1,
+          "bodySize": -1,
+          "redirectURL": ""
+        },
+        "cache": {},
+        "timings": {
+          "send": -1,
+          "wait": -1,
+          "receive": 0.944
+        }
+      },
+      {
+        "startedDateTime": "2024-02-28T14:32:30.976Z",
+        "time": 0.697,
+        "request": {
+          "method": "GET",
+          "url": "http://localhost:3000/api/v1/version",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            {
+              "name": "Accept",
+              "value": "application/json, text/plain, */*"
+            },
+            {
+              "name": "Accept-Encoding",
+              "value": "gzip, deflate, br, zstd"
+            },
+            {
+              "name": "Accept-Language",
+              "value": "en-US,en;q=0.9"
+            },
+            {
+              "name": "Authorization",
+              "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIwMzg5ZmIyOS1kYWE2LTQwOGMtYjhjYi1iOGZmOGQxNzM0M2EiLCJleHAiOjE3NDA2NjY3NTB9.ef5W5jwNOeVzU3JZ7ylLYf2MLEJcVxC4-fF7EK9Ecdc"
+            },
+            {
+              "name": "Connection",
+              "value": "keep-alive"
+            },
+            {
+              "name": "Cookie",
+              "value": "access_token_lf=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIwMzg5ZmIyOS1kYWE2LTQwOGMtYjhjYi1iOGZmOGQxNzM0M2EiLCJleHAiOjE3NDA2NjY3NTB9.ef5W5jwNOeVzU3JZ7ylLYf2MLEJcVxC4-fF7EK9Ecdc"
+            },
+            {
+              "name": "Host",
+              "value": "localhost:3000"
+            },
+            {
+              "name": "Referer",
+              "value": "http://localhost:3000/"
+            },
+            {
+              "name": "Sec-Fetch-Dest",
+              "value": "empty"
+            },
+            {
+              "name": "Sec-Fetch-Mode",
+              "value": "cors"
+            },
+            {
+              "name": "Sec-Fetch-Site",
+              "value": "same-origin"
+            },
+            {
+              "name": "User-Agent",
+              "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/123.0.0.0 Safari/537.36"
+            },
+            {
+              "name": "sec-ch-ua",
+              "value": "\"Chromium\";v=\"123\", \"Not:A-Brand\";v=\"8\""
+            },
+            {
+              "name": "sec-ch-ua-mobile",
+              "value": "?0"
+            },
+            {
+              "name": "sec-ch-ua-platform",
+              "value": "\"Linux\""
+            }
+          ],
+          "queryString": [],
+          "headersSize": -1,
+          "bodySize": -1
+        },
+        "response": {
+          "status": 200,
+          "statusText": "OK",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            {
+              "name": "Access-Control-Allow-Origin",
+              "value": "*"
+            },
+            {
+              "name": "connection",
+              "value": "close"
+            },
+            {
+              "name": "content-length",
+              "value": "19"
+            },
+            {
+              "name": "content-type",
+              "value": "application/json"
+            },
+            {
+              "name": "date",
+              "value": "Wed, 28 Feb 2024 14:32:30 GMT"
+            },
+            {
+              "name": "server",
+              "value": "uvicorn"
+            }
+          ],
+          "content": {
+            "size": -1,
+            "mimeType": "application/json",
+            "text": "{\"version\":\"0.6.7\"}"
+          },
+          "headersSize": -1,
+          "bodySize": -1,
+          "redirectURL": ""
+        },
+        "cache": {},
+        "timings": {
+          "send": -1,
+          "wait": -1,
+          "receive": 0.697
+        }
+      },
+      {
+        "startedDateTime": "2024-02-28T14:32:30.976Z",
+        "time": 2.771,
+        "request": {
+          "method": "GET",
+          "url": "http://localhost:3000/api/v1/all",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            {
+              "name": "Accept",
+              "value": "application/json, text/plain, */*"
+            },
+            {
+              "name": "Accept-Encoding",
+              "value": "gzip, deflate, br, zstd"
+            },
+            {
+              "name": "Accept-Language",
+              "value": "en-US,en;q=0.9"
+            },
+            {
+              "name": "Authorization",
+              "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIwMzg5ZmIyOS1kYWE2LTQwOGMtYjhjYi1iOGZmOGQxNzM0M2EiLCJleHAiOjE3NDA2NjY3NTB9.ef5W5jwNOeVzU3JZ7ylLYf2MLEJcVxC4-fF7EK9Ecdc"
+            },
+            {
+              "name": "Connection",
+              "value": "keep-alive"
+            },
+            {
+              "name": "Cookie",
+              "value": "access_token_lf=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIwMzg5ZmIyOS1kYWE2LTQwOGMtYjhjYi1iOGZmOGQxNzM0M2EiLCJleHAiOjE3NDA2NjY3NTB9.ef5W5jwNOeVzU3JZ7ylLYf2MLEJcVxC4-fF7EK9Ecdc"
+            },
+            {
+              "name": "Host",
+              "value": "localhost:3000"
+            },
+            {
+              "name": "Referer",
+              "value": "http://localhost:3000/"
+            },
+            {
+              "name": "Sec-Fetch-Dest",
+              "value": "empty"
+            },
+            {
+              "name": "Sec-Fetch-Mode",
+              "value": "cors"
+            },
+            {
+              "name": "Sec-Fetch-Site",
+              "value": "same-origin"
+            },
+            {
+              "name": "User-Agent",
+              "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/123.0.0.0 Safari/537.36"
+            },
+            {
+              "name": "sec-ch-ua",
+              "value": "\"Chromium\";v=\"123\", \"Not:A-Brand\";v=\"8\""
+            },
+            {
+              "name": "sec-ch-ua-mobile",
+              "value": "?0"
+            },
+            {
+              "name": "sec-ch-ua-platform",
+              "value": "\"Linux\""
+            }
+          ],
+          "queryString": [],
+          "headersSize": -1,
+          "bodySize": -1
+        },
+        "response": {
+          "status": 200,
+          "statusText": "OK",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            {
+              "name": "Access-Control-Allow-Origin",
+              "value": "*"
+            },
+            {
+              "name": "connection",
+              "value": "close"
+            },
+            {
+              "name": "content-length",
+              "value": "633593"
+            },
+            {
+              "name": "content-type",
+              "value": "application/json"
+            },
+            {
+              "name": "date",
+              "value": "Wed, 28 Feb 2024 14:32:30 GMT"
+            },
+            {
+              "name": "server",
+              "value": "uvicorn"
+            }
+          ],
+          "content": {
+            "size": -1,
+            "mimeType": "application/json",
+            "text": "{\"chains\":{\"ConversationalRetrievalChain\":{\"template\":{\"callbacks\":{\"type\":\"Callbacks\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"condense_question_llm\":{\"type\":\"BaseLanguageModel\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"condense_question_llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"condense_question_prompt\":{\"type\":\"BasePromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":{\"name\":null,\"input_variables\":[\"chat_history\",\"question\"],\"input_types\":{},\"output_parser\":null,\"partial_variables\":{},\"metadata\":null,\"tags\":null,\"template\":\"Given the following conversation and a follow up question, rephrase the follow up question to be a standalone question, in its original language.\\n\\nChat History:\\n{chat_history}\\nFollow Up Input: {question}\\nStandalone question:\",\"template_format\":\"f-string\",\"validate_template\":false},\"fileTypes\":[],\"password\":false,\"name\":\"condense_question_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"memory\":{\"type\":\"BaseChatMemory\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"retriever\":{\"type\":\"BaseRetriever\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"chain_type\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"stuff\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"stuff\",\"map_reduce\",\"map_rerank\",\"refine\"],\"name\":\"chain_type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"combine_docs_chain_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"combine_docs_chain_kwargs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"return_source_documents\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_source_documents\",\"display_name\":\"Return source documents\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"ConversationalRetrievalChain\"},\"description\":\"Convenience method to load chain from LLM and retriever.\",\"base_classes\":[\"BaseConversationalRetrievalChain\",\"Runnable\",\"Chain\",\"Generic\",\"Text\",\"RunnableSerializable\",\"Serializable\",\"object\",\"ConversationalRetrievalChain\",\"Callable\"],\"display_name\":\"ConversationalRetrievalChain\",\"documentation\":\"https://python.langchain.com/docs/modules/chains/popular/chat_vector_db\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"pinned\":false,\"beta\":false,\"output_type\":\"Chain\"},\"LLMCheckerChain\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, Union\\n\\nfrom langchain.chains import LLMCheckerChain\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseLanguageModel, Chain\\n\\n\\nclass LLMCheckerChainComponent(CustomComponent):\\n    display_name = \\\"LLMCheckerChain\\\"\\n    description = \\\"\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/chains/additional/llm_checker\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n        }\\n\\n    def build(\\n        self,\\n        llm: BaseLanguageModel,\\n    ) -> Union[Chain, Callable]:\\n        return LLMCheckerChain.from_llm(llm=llm)\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"\",\"base_classes\":[\"Runnable\",\"Chain\",\"Generic\",\"RunnableSerializable\",\"Serializable\",\"object\",\"Callable\"],\"display_name\":\"LLMCheckerChain\",\"documentation\":\"https://python.langchain.com/docs/modules/chains/additional/llm_checker\",\"custom_fields\":{\"llm\":null},\"output_types\":[\"Chain\",\"Callable\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"LLMMathChain\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"llm_chain\":{\"type\":\"LLMChain\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm_chain\",\"display_name\":\"LLM Chain\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"memory\":{\"type\":\"BaseMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain, LLMMathChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseLanguageModel, BaseMemory, Chain\\n\\n\\nclass LLMMathChainComponent(CustomComponent):\\n    display_name = \\\"LLMMathChain\\\"\\n    description = \\\"Chain that interprets a prompt and executes python code to do math.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/chains/additional/llm_math\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"llm_chain\\\": {\\\"display_name\\\": \\\"LLM Chain\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"input_key\\\": {\\\"display_name\\\": \\\"Input Key\\\"},\\n            \\\"output_key\\\": {\\\"display_name\\\": \\\"Output Key\\\"},\\n        }\\n\\n    def build(\\n        self,\\n        llm: BaseLanguageModel,\\n        llm_chain: LLMChain,\\n        input_key: str = \\\"question\\\",\\n        output_key: str = \\\"answer\\\",\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[LLMMathChain, Callable, Chain]:\\n        return LLMMathChain(llm=llm, llm_chain=llm_chain, input_key=input_key, output_key=output_key, memory=memory)\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"input_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"question\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"input_key\",\"display_name\":\"Input Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"output_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"answer\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"output_key\",\"display_name\":\"Output Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"description\":\"Chain that interprets a prompt and executes python code to do math.\",\"base_classes\":[\"LLMMathChain\",\"Runnable\",\"Chain\",\"Generic\",\"RunnableSerializable\",\"Serializable\",\"object\",\"Callable\"],\"display_name\":\"LLMMathChain\",\"documentation\":\"https://python.langchain.com/docs/modules/chains/additional/llm_math\",\"custom_fields\":{\"llm\":null,\"llm_chain\":null,\"input_key\":null,\"output_key\":null,\"memory\":null},\"output_types\":[\"LLMMathChain\",\"Callable\",\"Chain\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"RetrievalQA\":{\"template\":{\"combine_documents_chain\":{\"type\":\"BaseCombineDocumentsChain\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"combine_documents_chain\",\"display_name\":\"Combine Documents Chain\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"memory\":{\"type\":\"BaseMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"retriever\":{\"type\":\"BaseRetriever\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"retriever\",\"display_name\":\"Retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains.combine_documents.base import BaseCombineDocumentsChain\\nfrom langchain.chains.retrieval_qa.base import BaseRetrievalQA, RetrievalQA\\nfrom langchain_core.documents import Document\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseMemory, BaseRetriever, Text\\n\\n\\nclass RetrievalQAComponent(CustomComponent):\\n    display_name = \\\"Retrieval QA\\\"\\n    description = \\\"Chain for question-answering against an index.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"combine_documents_chain\\\": {\\\"display_name\\\": \\\"Combine Documents Chain\\\"},\\n            \\\"retriever\\\": {\\\"display_name\\\": \\\"Retriever\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\", \\\"required\\\": False},\\n            \\\"input_key\\\": {\\\"display_name\\\": \\\"Input Key\\\", \\\"advanced\\\": True},\\n            \\\"output_key\\\": {\\\"display_name\\\": \\\"Output Key\\\", \\\"advanced\\\": True},\\n            \\\"return_source_documents\\\": {\\\"display_name\\\": \\\"Return Source Documents\\\"},\\n            \\\"inputs\\\": {\\\"display_name\\\": \\\"Input\\\", \\\"input_types\\\": [\\\"Text\\\", \\\"Document\\\"]},\\n        }\\n\\n    def build(\\n        self,\\n        combine_documents_chain: BaseCombineDocumentsChain,\\n        retriever: BaseRetriever,\\n        inputs: str = \\\"\\\",\\n        memory: Optional[BaseMemory] = None,\\n        input_key: str = \\\"query\\\",\\n        output_key: str = \\\"result\\\",\\n        return_source_documents: bool = True,\\n    ) -> Union[BaseRetrievalQA, Callable, Text]:\\n        runnable = RetrievalQA(\\n            combine_documents_chain=combine_documents_chain,\\n            retriever=retriever,\\n            memory=memory,\\n            input_key=input_key,\\n            output_key=output_key,\\n            return_source_documents=return_source_documents,\\n        )\\n        if isinstance(inputs, Document):\\n            inputs = inputs.page_content\\n        self.status = runnable\\n        result = runnable.invoke({input_key: inputs})\\n        result = result.content if hasattr(result, \\\"content\\\") else result\\n        # Result is a dict with keys \\\"query\\\",  \\\"result\\\" and \\\"source_documents\\\"\\n        # for now we just return the result\\n        records = self.to_records(result.get(\\\"source_documents\\\"))\\n        references_str = \\\"\\\"\\n        if return_source_documents:\\n            references_str = self.create_references_from_records(records)\\n        result_str = result.get(\\\"result\\\")\\n        final_result = \\\"\\\\n\\\".join([result_str, references_str])\\n        self.status = final_result\\n        return final_result\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"input_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"query\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"input_key\",\"display_name\":\"Input Key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"inputs\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"inputs\",\"display_name\":\"Input\",\"advanced\":false,\"input_types\":[\"Text\",\"Document\",\"Text\"],\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"output_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"result\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"output_key\",\"display_name\":\"Output Key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"return_source_documents\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_source_documents\",\"display_name\":\"Return Source Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Chain for question-answering against an index.\",\"base_classes\":[\"Runnable\",\"Chain\",\"BaseRetrievalQA\",\"Generic\",\"Text\",\"RunnableSerializable\",\"Serializable\",\"object\",\"Callable\"],\"display_name\":\"Retrieval QA\",\"documentation\":\"\",\"custom_fields\":{\"combine_documents_chain\":null,\"retriever\":null,\"inputs\":null,\"memory\":null,\"input_key\":null,\"output_key\":null,\"return_source_documents\":null},\"output_types\":[\"BaseRetrievalQA\",\"Callable\",\"Text\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"RetrievalQAWithSourcesChain\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"memory\":{\"type\":\"BaseMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"retriever\":{\"type\":\"BaseRetriever\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"retriever\",\"display_name\":\"Retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"chain_type\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"stuff\",\"map_reduce\",\"map_rerank\",\"refine\"],\"name\":\"chain_type\",\"display_name\":\"Chain Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"The type of chain to use to combined Documents.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.chains import RetrievalQAWithSourcesChain\\nfrom langchain_core.documents import Document\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseLanguageModel, BaseMemory, BaseRetriever, Text\\n\\n\\nclass RetrievalQAWithSourcesChainComponent(CustomComponent):\\n    display_name = \\\"RetrievalQAWithSourcesChain\\\"\\n    description = \\\"Question-answering with sources over an index.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"chain_type\\\": {\\n                \\\"display_name\\\": \\\"Chain Type\\\",\\n                \\\"options\\\": [\\\"stuff\\\", \\\"map_reduce\\\", \\\"map_rerank\\\", \\\"refine\\\"],\\n                \\\"info\\\": \\\"The type of chain to use to combined Documents.\\\",\\n            },\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"return_source_documents\\\": {\\\"display_name\\\": \\\"Return Source Documents\\\"},\\n            \\\"retriever\\\": {\\\"display_name\\\": \\\"Retriever\\\"},\\n        }\\n\\n    def build(\\n        self,\\n        inputs: str,\\n        retriever: BaseRetriever,\\n        llm: BaseLanguageModel,\\n        chain_type: str,\\n        memory: Optional[BaseMemory] = None,\\n        return_source_documents: Optional[bool] = True,\\n    ) -> Text:\\n        runnable = RetrievalQAWithSourcesChain.from_chain_type(\\n            llm=llm,\\n            chain_type=chain_type,\\n            memory=memory,\\n            return_source_documents=return_source_documents,\\n            retriever=retriever,\\n        )\\n        if isinstance(inputs, Document):\\n            inputs = inputs.page_content\\n        self.status = runnable\\n        input_key = runnable.input_keys[0]\\n        result = runnable.invoke({input_key: inputs})\\n        result = result.content if hasattr(result, \\\"content\\\") else result\\n        # Result is a dict with keys \\\"query\\\",  \\\"result\\\" and \\\"source_documents\\\"\\n        # for now we just return the result\\n        records = self.to_records(result.get(\\\"source_documents\\\"))\\n        references_str = \\\"\\\"\\n        if return_source_documents:\\n            references_str = self.create_references_from_records(records)\\n        result_str = result.get(\\\"answer\\\")\\n        final_result = \\\"\\\\n\\\".join([result_str, references_str])\\n        self.status = final_result\\n        return final_result\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"inputs\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"inputs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"return_source_documents\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_source_documents\",\"display_name\":\"Return Source Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Question-answering with sources over an index.\",\"base_classes\":[\"Text\",\"object\"],\"display_name\":\"RetrievalQAWithSourcesChain\",\"documentation\":\"\",\"custom_fields\":{\"inputs\":null,\"retriever\":null,\"llm\":null,\"chain_type\":null,\"memory\":null,\"return_source_documents\":null},\"output_types\":[\"Text\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"SQLDatabaseChain\":{\"template\":{\"db\":{\"type\":\"SQLDatabase\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"db\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"prompt\":{\"type\":\"BasePromptTemplate\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"SQLDatabaseChain\"},\"description\":\"Create a SQLDatabaseChain from an LLM and a database connection.\",\"base_classes\":[\"Runnable\",\"Chain\",\"Generic\",\"Text\",\"RunnableSerializable\",\"Serializable\",\"object\",\"SQLDatabaseChain\",\"Callable\"],\"display_name\":\"SQLDatabaseChain\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"pinned\":false,\"beta\":false,\"output_type\":\"Chain\"},\"CombineDocsChain\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"chain_type\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"stuff\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"stuff\",\"map_reduce\",\"map_rerank\",\"refine\"],\"name\":\"chain_type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"load_qa_chain\"},\"description\":\"Load question answering chain.\",\"base_classes\":[\"function\",\"BaseCombineDocumentsChain\"],\"display_name\":\"CombineDocsChain\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"pinned\":false,\"beta\":false,\"output_type\":\"Chain\"},\"SeriesCharacterChain\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"character\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"character\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"series\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"series\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"SeriesCharacterChain\"},\"description\":\"SeriesCharacterChain is a chain you can use to have a conversation with a character from a series.\",\"base_classes\":[\"Chain\",\"BaseCustomChain\",\"ConversationChain\",\"function\",\"SeriesCharacterChain\",\"LLMChain\"],\"display_name\":\"SeriesCharacterChain\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"pinned\":false,\"beta\":false,\"output_type\":\"Chain\"},\"MidJourneyPromptChain\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"memory\":{\"type\":\"BaseChatMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"MidJourneyPromptChain\"},\"description\":\"MidJourneyPromptChain is a chain you can use to generate new MidJourney prompts.\",\"base_classes\":[\"Chain\",\"BaseCustomChain\",\"MidJourneyPromptChain\",\"ConversationChain\",\"LLMChain\"],\"display_name\":\"MidJourneyPromptChain\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"pinned\":false,\"beta\":false,\"output_type\":\"Chain\"},\"TimeTravelGuideChain\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"memory\":{\"type\":\"BaseChatMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"TimeTravelGuideChain\"},\"description\":\"Time travel guide chain.\",\"base_classes\":[\"Chain\",\"BaseCustomChain\",\"ConversationChain\",\"TimeTravelGuideChain\",\"LLMChain\"],\"display_name\":\"TimeTravelGuideChain\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"pinned\":false,\"beta\":false,\"output_type\":\"Chain\"},\"LLMChain\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"memory\":{\"type\":\"BaseMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"prompt\":{\"type\":\"BasePromptTemplate\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Text,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Text:\\n        runnable = LLMChain(prompt=prompt, llm=llm, memory=memory)\\n        result_dict = runnable.invoke({})\\n        output_key = runnable.output_key\\n        result = result_dict[output_key]\\n        self.status = result\\n        return result\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Text\",\"object\"],\"display_name\":\"LLMChain\",\"documentation\":\"\",\"custom_fields\":{\"prompt\":null,\"llm\":null,\"memory\":null},\"output_types\":[\"Text\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"SQLGenerator\":{\"template\":{\"db\":{\"type\":\"SQLDatabase\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"db\",\"display_name\":\"Database\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"inputs\":{\"type\":\"Text\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"inputs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"prompt\":{\"type\":\"PromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"The prompt must contain `{question}`.\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.chains import create_sql_query_chain\\nfrom langchain_community.utilities.sql_database import SQLDatabase\\nfrom langchain_core.prompts import PromptTemplate\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseLanguageModel, Text\\n\\n\\nclass SQLGeneratorComponent(CustomComponent):\\n    display_name = \\\"Natural Language to SQL\\\"\\n    description = \\\"Generate SQL from natural language.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"db\\\": {\\\"display_name\\\": \\\"Database\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"prompt\\\": {\\n                \\\"display_name\\\": \\\"Prompt\\\",\\n                \\\"info\\\": \\\"The prompt must contain `{question}`.\\\",\\n            },\\n            \\\"top_k\\\": {\\n                \\\"display_name\\\": \\\"Top K\\\",\\n                \\\"info\\\": \\\"The number of results per select statement to return. If 0, no limit.\\\",\\n            },\\n        }\\n\\n    def build(\\n        self,\\n        inputs: Text,\\n        db: SQLDatabase,\\n        llm: BaseLanguageModel,\\n        top_k: int = 5,\\n        prompt: Optional[PromptTemplate] = None,\\n    ) -> Text:\\n        if top_k > 0:\\n            kwargs = {\\n                \\\"k\\\": top_k,\\n            }\\n        if not prompt:\\n            sql_query_chain = create_sql_query_chain(llm=llm, db=db, **kwargs)\\n        else:\\n            template = prompt.template if hasattr(prompt, \\\"template\\\") else prompt\\n            # Check if {question} is in the prompt\\n            if \\\"{question}\\\" not in template or \\\"question\\\" not in template.input_variables:\\n                raise ValueError(\\\"Prompt must contain `{question}` to be used with Natural Language to SQL.\\\")\\n            sql_query_chain = create_sql_query_chain(llm=llm, db=db, prompt=prompt, **kwargs)\\n        query_writer = sql_query_chain | {\\\"query\\\": lambda x: x.replace(\\\"SQLQuery:\\\", \\\"\\\").strip()}\\n        response = query_writer.invoke({\\\"question\\\": inputs})\\n        query = response.get(\\\"query\\\")\\n        self.status = query\\n        return query\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"top_k\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":5,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_k\",\"display_name\":\"Top K\",\"advanced\":false,\"dynamic\":false,\"info\":\"The number of results per select statement to return. If 0, no limit.\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Generate SQL from natural language.\",\"base_classes\":[\"Text\",\"object\"],\"display_name\":\"Natural Language to SQL\",\"documentation\":\"\",\"custom_fields\":{\"inputs\":null,\"db\":null,\"llm\":null,\"top_k\":null,\"prompt\":null},\"output_types\":[\"Text\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"ConversationChain\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"memory\":{\"type\":\"BaseMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"Memory to load context from. If none is provided, a ConversationBufferMemory will be used.\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import ConversationChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseLanguageModel, BaseMemory, Chain, Text\\n\\n\\nclass ConversationChainComponent(CustomComponent):\\n    display_name = \\\"ConversationChain\\\"\\n    description = \\\"Chain to have a conversation and load context from memory.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\n                \\\"display_name\\\": \\\"Memory\\\",\\n                \\\"info\\\": \\\"Memory to load context from. If none is provided, a ConversationBufferMemory will be used.\\\",\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        inputs: str,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable, Text]:\\n        if memory is None:\\n            chain = ConversationChain(llm=llm)\\n        else:\\n            chain = ConversationChain(llm=llm, memory=memory)\\n        result = chain.invoke(inputs)\\n        # result is an AIMessage which is a subclass of BaseMessage\\n        # We need to check if it is a string or a BaseMessage\\n        if hasattr(result, \\\"content\\\") and isinstance(result.content, str):\\n            self.status = \\\"is message\\\"\\n            result = result.content\\n        elif isinstance(result, str):\\n            self.status = \\\"is_string\\\"\\n            result = result\\n        else:\\n            # is dict\\n            result = result.get(\\\"response\\\")\\n        self.status = result\\n        return result\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"inputs\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"inputs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"description\":\"Chain to have a conversation and load context from memory.\",\"base_classes\":[\"Runnable\",\"Chain\",\"Generic\",\"Text\",\"RunnableSerializable\",\"Serializable\",\"object\",\"Callable\"],\"display_name\":\"ConversationChain\",\"documentation\":\"\",\"custom_fields\":{\"inputs\":null,\"llm\":null,\"memory\":null},\"output_types\":[\"Chain\",\"Callable\",\"Text\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true}},\"agents\":{\"ZeroShotAgent\":{\"template\":{\"callback_manager\":{\"type\":\"BaseCallbackManager\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callback_manager\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"output_parser\":{\"type\":\"AgentOutputParser\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"tools\":{\"type\":\"BaseTool\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"format_instructions\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":true,\"value\":\"Use the following format:\\n\\nQuestion: the input question you must answer\\nThought: you should always think about what to do\\nAction: the action to take, should be one of [{tool_names}]\\nAction Input: the input to the action\\nObservation: the result of the action\\n... (this Thought/Action/Action Input/Observation can repeat N times)\\nThought: I now know the final answer\\nFinal Answer: the final answer to the original input question\",\"fileTypes\":[],\"password\":false,\"name\":\"format_instructions\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"input_variables\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"Answer the following questions as best you can. You have access to the following tools:\",\"fileTypes\":[],\"password\":false,\"name\":\"prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"suffix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"Begin!\\n\\nQuestion: {input}\\nThought:{agent_scratchpad}\",\"fileTypes\":[],\"password\":false,\"name\":\"suffix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"ZeroShotAgent\"},\"description\":\"Construct an agent from an LLM and tools.\",\"base_classes\":[\"ZeroShotAgent\",\"Callable\",\"BaseSingleActionAgent\",\"Agent\"],\"display_name\":\"ZeroShotAgent\",\"documentation\":\"https://python.langchain.com/docs/modules/agents/how_to/custom_mrkl_agent\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"JsonAgent\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"toolkit\":{\"type\":\"JsonToolkit\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"toolkit\",\"display_name\":\"Toolkit\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langchain.agents import AgentExecutor, create_json_agent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n)\\nfrom langchain_community.agent_toolkits.json.toolkit import JsonToolkit\\n\\n\\nclass JsonAgentComponent(CustomComponent):\\n    display_name = \\\"JsonAgent\\\"\\n    description = \\\"Construct a json agent from an LLM and tools.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"toolkit\\\": {\\\"display_name\\\": \\\"Toolkit\\\"},\\n        }\\n\\n    def build(\\n        self,\\n        llm: BaseLanguageModel,\\n        toolkit: JsonToolkit,\\n    ) -> AgentExecutor:\\n        return create_json_agent(llm=llm, toolkit=toolkit)\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Construct a json agent from an LLM and tools.\",\"base_classes\":[\"Runnable\",\"Chain\",\"Generic\",\"RunnableSerializable\",\"Serializable\",\"AgentExecutor\",\"object\"],\"display_name\":\"JsonAgent\",\"documentation\":\"\",\"custom_fields\":{\"llm\":null,\"toolkit\":null},\"output_types\":[\"AgentExecutor\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"CSVAgent\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[\".csv\"],\"file_path\":\"\",\"password\":false,\"name\":\"path\",\"display_name\":\"Path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import BaseLanguageModel, AgentExecutor\\nfrom langchain_experimental.agents.agent_toolkits.csv.base import create_csv_agent\\n\\n\\nclass CSVAgentComponent(CustomComponent):\\n    display_name = \\\"CSVAgent\\\"\\n    description = \\\"Construct a CSV agent from a CSV and tools.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/agents/toolkits/csv\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\", \\\"type\\\": BaseLanguageModel},\\n            \\\"path\\\": {\\\"display_name\\\": \\\"Path\\\", \\\"field_type\\\": \\\"file\\\", \\\"suffixes\\\": [\\\".csv\\\"], \\\"file_types\\\": [\\\".csv\\\"]},\\n        }\\n\\n    def build(\\n        self,\\n        llm: BaseLanguageModel,\\n        path: str,\\n    ) -> AgentExecutor:\\n        # Instantiate and return the CSV agent class with the provided llm and path\\n        return create_csv_agent(llm=llm, path=path)\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"Runnable\",\"Chain\",\"Generic\",\"RunnableSerializable\",\"Serializable\",\"AgentExecutor\",\"object\"],\"display_name\":\"CSVAgent\",\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"custom_fields\":{\"llm\":null,\"path\":null},\"output_types\":[\"AgentExecutor\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"VectorStoreAgent\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"vector_store_toolkit\":{\"type\":\"VectorStoreToolkit\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"vector_store_toolkit\",\"display_name\":\"Vector Store Info\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langchain.agents import AgentExecutor, create_vectorstore_agent\\nfrom langchain.agents.agent_toolkits.vectorstore.toolkit import VectorStoreToolkit\\nfrom typing import Union, Callable\\nfrom langflow.field_typing import BaseLanguageModel\\n\\n\\nclass VectorStoreAgentComponent(CustomComponent):\\n    display_name = \\\"VectorStoreAgent\\\"\\n    description = \\\"Construct an agent from a Vector Store.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"vector_store_toolkit\\\": {\\\"display_name\\\": \\\"Vector Store Info\\\"},\\n        }\\n\\n    def build(\\n        self,\\n        llm: BaseLanguageModel,\\n        vector_store_toolkit: VectorStoreToolkit,\\n    ) -> Union[AgentExecutor, Callable]:\\n        return create_vectorstore_agent(llm=llm, toolkit=vector_store_toolkit)\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Construct an agent from a Vector Store.\",\"base_classes\":[\"Runnable\",\"Chain\",\"Generic\",\"RunnableSerializable\",\"Serializable\",\"AgentExecutor\",\"object\",\"Callable\"],\"display_name\":\"VectorStoreAgent\",\"documentation\":\"\",\"custom_fields\":{\"llm\":null,\"vector_store_toolkit\":null},\"output_types\":[\"AgentExecutor\",\"Callable\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"VectorStoreRouterAgent\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"vectorstoreroutertoolkit\":{\"type\":\"VectorStoreRouterToolkit\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"vectorstoreroutertoolkit\",\"display_name\":\"Vector Store Router Toolkit\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langchain_core.language_models.base import BaseLanguageModel\\nfrom langchain.agents.agent_toolkits.vectorstore.toolkit import VectorStoreRouterToolkit\\nfrom langchain.agents import create_vectorstore_router_agent\\nfrom typing import Callable\\n\\n\\nclass VectorStoreRouterAgentComponent(CustomComponent):\\n    display_name = \\\"VectorStoreRouterAgent\\\"\\n    description = \\\"Construct an agent from a Vector Store Router.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"vectorstoreroutertoolkit\\\": {\\\"display_name\\\": \\\"Vector Store Router Toolkit\\\"},\\n        }\\n\\n    def build(self, llm: BaseLanguageModel, vectorstoreroutertoolkit: VectorStoreRouterToolkit) -> Callable:\\n        return create_vectorstore_router_agent(llm=llm, toolkit=vectorstoreroutertoolkit)\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Construct an agent from a Vector Store Router.\",\"base_classes\":[\"Callable\"],\"display_name\":\"VectorStoreRouterAgent\",\"documentation\":\"\",\"custom_fields\":{\"llm\":null,\"vectorstoreroutertoolkit\":null},\"output_types\":[\"Callable\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"SQLAgent\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import Union, Callable\\nfrom langchain.agents import AgentExecutor\\nfrom langflow.field_typing import BaseLanguageModel\\nfrom langchain_community.agent_toolkits.sql.base import create_sql_agent\\nfrom langchain.sql_database import SQLDatabase\\nfrom langchain_community.agent_toolkits import SQLDatabaseToolkit\\n\\n\\nclass SQLAgentComponent(CustomComponent):\\n    display_name = \\\"SQLAgent\\\"\\n    description = \\\"Construct an SQL agent from an LLM and tools.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"database_uri\\\": {\\\"display_name\\\": \\\"Database URI\\\"},\\n            \\\"verbose\\\": {\\\"display_name\\\": \\\"Verbose\\\", \\\"value\\\": False, \\\"advanced\\\": True},\\n        }\\n\\n    def build(\\n        self,\\n        llm: BaseLanguageModel,\\n        database_uri: str,\\n        verbose: bool = False,\\n    ) -> Union[AgentExecutor, Callable]:\\n        db = SQLDatabase.from_uri(database_uri)\\n        toolkit = SQLDatabaseToolkit(db=db, llm=llm)\\n        return create_sql_agent(llm=llm, toolkit=toolkit)\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"database_uri\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"database_uri\",\"display_name\":\"Database URI\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"verbose\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"verbose\",\"display_name\":\"Verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Construct an SQL agent from an LLM and tools.\",\"base_classes\":[\"Runnable\",\"Chain\",\"Generic\",\"RunnableSerializable\",\"Serializable\",\"AgentExecutor\",\"object\",\"Callable\"],\"display_name\":\"SQLAgent\",\"documentation\":\"\",\"custom_fields\":{\"llm\":null,\"database_uri\":null,\"verbose\":null},\"output_types\":[\"AgentExecutor\",\"Callable\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"OpenAIConversationalAgent\":{\"template\":{\"memory\":{\"type\":\"BaseMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"system_message\":{\"type\":\"SystemMessagePromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"system_message\",\"display_name\":\"System Message\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"tools\":{\"type\":\"Tool\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import List, Optional\\n\\nfrom langchain.agents.agent import AgentExecutor\\nfrom langchain.agents.agent_toolkits.conversational_retrieval.openai_functions import _get_default_system_message\\nfrom langchain.agents.openai_functions_agent.base import OpenAIFunctionsAgent\\nfrom langchain.memory.token_buffer import ConversationTokenBufferMemory\\nfrom langchain.prompts import SystemMessagePromptTemplate\\nfrom langchain.prompts.chat import MessagesPlaceholder\\nfrom langchain.schema.memory import BaseMemory\\nfrom langchain.tools import Tool\\nfrom langchain_community.chat_models import ChatOpenAI\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing.range_spec import RangeSpec\\n\\n\\nclass ConversationalAgent(CustomComponent):\\n    display_name: str = \\\"OpenAI Conversational Agent\\\"\\n    description: str = \\\"Conversational Agent that can use OpenAI's function calling API\\\"\\n\\n    def build_config(self):\\n        openai_function_models = [\\n            \\\"gpt-4-turbo-preview\\\",\\n            \\\"gpt-4-0125-preview\\\",\\n            \\\"gpt-4-1106-preview\\\",\\n            \\\"gpt-4-vision-preview\\\",\\n            \\\"gpt-3.5-turbo-0125\\\",\\n            \\\"gpt-3.5-turbo-1106\\\",\\n        ]\\n        return {\\n            \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"system_message\\\": {\\\"display_name\\\": \\\"System Message\\\"},\\n            \\\"max_token_limit\\\": {\\\"display_name\\\": \\\"Max Token Limit\\\"},\\n            \\\"model_name\\\": {\\n                \\\"display_name\\\": \\\"Model Name\\\",\\n                \\\"options\\\": openai_function_models,\\n                \\\"value\\\": openai_function_models[0],\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n            \\\"temperature\\\": {\\n                \\\"display_name\\\": \\\"Temperature\\\",\\n                \\\"value\\\": 0.2,\\n                \\\"range_spec\\\": RangeSpec(min=0, max=2, step=0.1),\\n            },\\n        }\\n\\n    def build(\\n        self,\\n        model_name: str,\\n        openai_api_key: str,\\n        tools: List[Tool],\\n        openai_api_base: Optional[str] = None,\\n        memory: Optional[BaseMemory] = None,\\n        system_message: Optional[SystemMessagePromptTemplate] = None,\\n        max_token_limit: int = 2000,\\n        temperature: float = 0.9,\\n    ) -> AgentExecutor:\\n        llm = ChatOpenAI(\\n            model=model_name,\\n            api_key=openai_api_key,\\n            base_url=openai_api_base,\\n            max_tokens=max_token_limit,\\n            temperature=temperature,\\n        )\\n        if not memory:\\n            memory_key = \\\"chat_history\\\"\\n            memory = ConversationTokenBufferMemory(\\n                memory_key=memory_key,\\n                return_messages=True,\\n                output_key=\\\"output\\\",\\n                llm=llm,\\n                max_token_limit=max_token_limit,\\n            )\\n        else:\\n            memory_key = memory.memory_key  # type: ignore\\n\\n        _system_message = system_message or _get_default_system_message()\\n        prompt = OpenAIFunctionsAgent.create_prompt(\\n            system_message=_system_message,  # type: ignore\\n            extra_prompt_messages=[MessagesPlaceholder(variable_name=memory_key)],\\n        )\\n        agent = OpenAIFunctionsAgent(\\n            llm=llm,\\n            tools=tools,\\n            prompt=prompt,  # type: ignore\\n        )\\n        return AgentExecutor(\\n            agent=agent,\\n            tools=tools,  # type: ignore\\n            memory=memory,\\n            verbose=True,\\n            return_intermediate_steps=True,\\n            handle_parsing_errors=True,\\n        )\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"max_token_limit\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":2000,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"max_token_limit\",\"display_name\":\"Max Token Limit\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"model_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"gpt-4-turbo-preview\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"gpt-4-turbo-preview\",\"gpt-4-0125-preview\",\"gpt-4-1106-preview\",\"gpt-4-vision-preview\",\"gpt-3.5-turbo-0125\",\"gpt-3.5-turbo-1106\"],\"name\":\"model_name\",\"display_name\":\"Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"openai_api_base\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"openai_api_base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"openai_api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"openai_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"temperature\":{\"type\":\"float\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.2,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":0.0,\"max\":2.0,\"step\":0.1},\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Conversational Agent that can use OpenAI's function calling API\",\"base_classes\":[\"Runnable\",\"Chain\",\"Generic\",\"RunnableSerializable\",\"Serializable\",\"AgentExecutor\",\"object\"],\"display_name\":\"OpenAI Conversational Agent\",\"documentation\":\"\",\"custom_fields\":{\"model_name\":null,\"openai_api_key\":null,\"tools\":null,\"openai_api_base\":null,\"memory\":null,\"system_message\":null,\"max_token_limit\":null,\"temperature\":null},\"output_types\":[\"AgentExecutor\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"AgentInitializer\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"Language Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"memory\":{\"type\":\"BaseChatMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"tools\":{\"type\":\"Tool\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"agent\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"zero-shot-react-description\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"zero-shot-react-description\",\"react-docstore\",\"self-ask-with-search\",\"conversational-react-description\",\"chat-zero-shot-react-description\",\"chat-conversational-react-description\",\"structured-chat-zero-shot-react-description\",\"openai-functions\",\"openai-multi-functions\",\"JsonAgent\",\"CSVAgent\",\"VectorStoreAgent\",\"VectorStoreRouterAgent\",\"SQLAgent\"],\"name\":\"agent\",\"display_name\":\"Agent Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, List, Optional, Union\\n\\nfrom langchain.agents import AgentExecutor, AgentType, initialize_agent, types\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool\\n\\n\\nclass AgentInitializerComponent(CustomComponent):\\n    display_name: str = \\\"Agent Initializer\\\"\\n    description: str = \\\"Initialize a Langchain Agent.\\\"\\n    documentation: str = \\\"https://python.langchain.com/docs/modules/agents/agent_types/\\\"\\n\\n    def build_config(self):\\n        agents = list(types.AGENT_TO_CLASS.keys())\\n        # field_type and required are optional\\n        return {\\n            \\\"agent\\\": {\\\"options\\\": agents, \\\"value\\\": agents[0], \\\"display_name\\\": \\\"Agent Type\\\"},\\n            \\\"max_iterations\\\": {\\\"display_name\\\": \\\"Max Iterations\\\", \\\"value\\\": 10},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"Language Model\\\"},\\n            \\\"code\\\": {\\\"advanced\\\": True},\\n        }\\n\\n    def build(\\n        self,\\n        agent: str,\\n        llm: BaseLanguageModel,\\n        tools: List[Tool],\\n        max_iterations: int,\\n        memory: Optional[BaseChatMemory] = None,\\n    ) -> Union[AgentExecutor, Callable]:\\n        agent = AgentType(agent)\\n        if memory:\\n            return initialize_agent(\\n                tools=tools,\\n                llm=llm,\\n                agent=agent,\\n                memory=memory,\\n                return_intermediate_steps=True,\\n                handle_parsing_errors=True,\\n                max_iterations=max_iterations,\\n            )\\n        return initialize_agent(\\n            tools=tools,\\n            llm=llm,\\n            agent=agent,\\n            return_intermediate_steps=True,\\n            handle_parsing_errors=True,\\n            max_iterations=max_iterations,\\n        )\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"max_iterations\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"max_iterations\",\"display_name\":\"Max Iterations\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Initialize a Langchain Agent.\",\"base_classes\":[\"Runnable\",\"Chain\",\"Generic\",\"RunnableSerializable\",\"Serializable\",\"AgentExecutor\",\"object\",\"Callable\"],\"display_name\":\"Agent Initializer\",\"documentation\":\"https://python.langchain.com/docs/modules/agents/agent_types/\",\"custom_fields\":{\"agent\":null,\"llm\":null,\"tools\":null,\"max_iterations\":null,\"memory\":null},\"output_types\":[\"AgentExecutor\",\"Callable\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true}},\"memories\":{\"ConversationBufferMemory\":{\"template\":{\"chat_memory\":{\"type\":\"BaseChatMessageHistory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"ai_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"AI\",\"fileTypes\":[],\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"human_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"Human\",\"fileTypes\":[],\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"input_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"memory_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"fileTypes\":[],\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"output_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\",\"title_case\":false,\"input_types\":[\"Text\"]},\"return_messages\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"ConversationBufferMemory\"},\"description\":\"Buffer for storing conversation memory.\",\"base_classes\":[\"BaseMemory\",\"BaseChatMemory\",\"ConversationBufferMemory\",\"Serializable\"],\"display_name\":\"ConversationBufferMemory\",\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/buffer\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"pinned\":true,\"beta\":false},\"ConversationBufferWindowMemory\":{\"template\":{\"chat_memory\":{\"type\":\"BaseChatMessageHistory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"ai_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"AI\",\"fileTypes\":[],\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"human_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"Human\",\"fileTypes\":[],\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"input_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"k\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"password\":false,\"name\":\"k\",\"display_name\":\"Memory Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"memory_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"fileTypes\":[],\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"output_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\",\"title_case\":false,\"input_types\":[\"Text\"]},\"return_messages\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"ConversationBufferWindowMemory\"},\"description\":\"Buffer for storing conversation memory inside a limited size window.\",\"base_classes\":[\"ConversationBufferWindowMemory\",\"BaseMemory\",\"BaseChatMemory\",\"Serializable\"],\"display_name\":\"ConversationBufferWindowMemory\",\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/buffer_window\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"pinned\":true,\"beta\":false},\"ConversationEntityMemory\":{\"template\":{\"chat_memory\":{\"type\":\"BaseChatMessageHistory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"entity_extraction_prompt\":{\"type\":\"BasePromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"entity_extraction_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"entity_store\":{\"type\":\"BaseEntityStore\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"entity_store\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"entity_summarization_prompt\":{\"type\":\"BasePromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"entity_summarization_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"ai_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"AI\",\"fileTypes\":[],\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"chat_history_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"history\",\"fileTypes\":[],\"password\":false,\"name\":\"chat_history_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"entity_cache\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"entity_cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"human_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"Human\",\"fileTypes\":[],\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"input_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"k\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"password\":false,\"name\":\"k\",\"display_name\":\"Memory Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"output_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\",\"title_case\":false,\"input_types\":[\"Text\"]},\"return_messages\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"ConversationEntityMemory\"},\"description\":\"Entity extractor & summarizer memory.\",\"base_classes\":[\"ConversationEntityMemory\",\"BaseMemory\",\"BaseChatMemory\",\"Serializable\"],\"display_name\":\"ConversationEntityMemory\",\"documentation\":\"https://python.langchain.com/docs/modules/memory/integrations/entity_memory_with_sqlite\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"pinned\":true,\"beta\":false},\"ConversationKGMemory\":{\"template\":{\"chat_memory\":{\"type\":\"BaseChatMessageHistory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"entity_extraction_prompt\":{\"type\":\"BasePromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"entity_extraction_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"kg\":{\"type\":\"NetworkxEntityGraph\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"kg\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"knowledge_extraction_prompt\":{\"type\":\"BasePromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"knowledge_extraction_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"summary_message_cls\":{\"type\":\"Type[langchain_core.messages.base.BaseMessage]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"summary_message_cls\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"ai_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"AI\",\"fileTypes\":[],\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"human_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"Human\",\"fileTypes\":[],\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"input_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"k\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"password\":false,\"name\":\"k\",\"display_name\":\"Memory Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"memory_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"fileTypes\":[],\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"output_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\",\"title_case\":false,\"input_types\":[\"Text\"]},\"return_messages\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"ConversationKGMemory\"},\"description\":\"Knowledge graph conversation memory.\",\"base_classes\":[\"BaseChatMemory\",\"BaseMemory\",\"ConversationKGMemory\",\"Serializable\"],\"display_name\":\"ConversationKGMemory\",\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/kg\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"pinned\":true,\"beta\":false},\"ConversationSummaryMemory\":{\"template\":{\"chat_memory\":{\"type\":\"BaseChatMessageHistory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"prompt\":{\"type\":\"BasePromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"summary_message_cls\":{\"type\":\"Type[langchain_core.messages.base.BaseMessage]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"summary_message_cls\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"ai_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"AI\",\"fileTypes\":[],\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"buffer\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"password\":false,\"name\":\"buffer\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"human_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"Human\",\"fileTypes\":[],\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"input_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"memory_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"fileTypes\":[],\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"output_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\",\"title_case\":false,\"input_types\":[\"Text\"]},\"return_messages\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"ConversationSummaryMemory\"},\"description\":\"Conversation summarizer to chat memory.\",\"base_classes\":[\"BaseChatMemory\",\"Serializable\",\"ConversationSummaryMemory\",\"BaseMemory\",\"SummarizerMixin\"],\"display_name\":\"ConversationSummaryMemory\",\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/summary\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"pinned\":true,\"beta\":false},\"MongoDBChatMessageHistory\":{\"template\":{\"collection_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"message_store\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"collection_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"connection_string\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"connection_string\",\"advanced\":false,\"dynamic\":false,\"info\":\"MongoDB connection string (e.g mongodb://mongo_user:password123@mongo:27017)\",\"title_case\":false,\"input_types\":[\"Text\"]},\"database_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"database_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"session_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"session_id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"MongoDBChatMessageHistory\"},\"description\":\"Memory store with MongoDB\",\"base_classes\":[\"BaseChatMessageHistory\",\"MongoDBChatMessageHistory\"],\"display_name\":\"MongoDBChatMessageHistory\",\"documentation\":\"https://python.langchain.com/docs/modules/memory/integrations/mongodb_chat_message_history\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"pinned\":true,\"beta\":false},\"MotorheadMemory\":{\"template\":{\"chat_memory\":{\"type\":\"BaseChatMessageHistory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"client_id\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client_id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"context\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"context\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"input_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"memory_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"fileTypes\":[],\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"output_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\",\"title_case\":false,\"input_types\":[\"Text\"]},\"return_messages\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"session_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"session_id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"timeout\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"https://api.getmetal.io/v1/motorhead\",\"fileTypes\":[],\"password\":false,\"name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"MotorheadMemory\"},\"description\":\"Chat message memory backed by Motorhead service.\",\"base_classes\":[\"MotorheadMemory\",\"BaseChatMemory\",\"BaseMemory\",\"Serializable\"],\"display_name\":\"MotorheadMemory\",\"documentation\":\"https://python.langchain.com/docs/integrations/memory/motorhead_memory\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"pinned\":true,\"beta\":false},\"PostgresChatMessageHistory\":{\"template\":{\"connection_string\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"postgresql://postgres:mypassword@localhost/chat_history\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"connection_string\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"session_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"session_id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"table_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"message_store\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"table_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"PostgresChatMessageHistory\"},\"description\":\"Memory store with Postgres\",\"base_classes\":[\"BaseChatMessageHistory\",\"PostgresChatMessageHistory\"],\"display_name\":\"PostgresChatMessageHistory\",\"documentation\":\"https://python.langchain.com/docs/modules/memory/integrations/postgres_chat_message_history\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"pinned\":true,\"beta\":false},\"VectorStoreRetrieverMemory\":{\"template\":{\"retriever\":{\"type\":\"VectorStoreRetriever\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"exclude_input_keys\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"exclude_input_keys\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"input_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"memory_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"fileTypes\":[],\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"return_docs\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"return_docs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"return_messages\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"VectorStoreRetrieverMemory\"},\"description\":\"VectorStoreRetriever-backed memory.\",\"base_classes\":[\"BaseMemory\",\"VectorStoreRetrieverMemory\",\"Serializable\"],\"display_name\":\"VectorStoreRetrieverMemory\",\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/vectorstore_retriever_memory\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"pinned\":true,\"beta\":false}},\"tools\":{\"Calculator\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"Calculator\"},\"description\":\"Useful for when you need to answer questions about math.\",\"base_classes\":[\"BaseTool\",\"Tool\"],\"display_name\":\"Calculator\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"Search\":{\"template\":{\"aiosession\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"aiosession\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"serpapi_api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"serpapi_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"Search\"},\"description\":\"A search engine. Useful for when you need to answer questions about current events. Input should be a search query.\",\"base_classes\":[\"BaseTool\",\"Tool\"],\"display_name\":\"Search\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"Tool\":{\"template\":{\"func\":{\"type\":\"Callable\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"func\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"description\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"description\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"return_direct\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_direct\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"Tool\"},\"description\":\"Converts a chain, agent or function into a tool.\",\"base_classes\":[\"BaseTool\",\"Tool\"],\"display_name\":\"Tool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"PythonFunctionTool\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"\\ndef python_function(text: str) -> str:\\n    \\\"\\\"\\\"This is a default python function that returns the input text\\\"\\\"\\\"\\n    return text\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"description\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"description\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"return_direct\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_direct\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"PythonFunctionTool\"},\"description\":\"Python function to be executed.\",\"base_classes\":[\"BaseTool\",\"Tool\"],\"display_name\":\"PythonFunctionTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"PythonFunction\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"\\ndef python_function(text: str) -> str:\\n    \\\"\\\"\\\"This is a default python function that returns the input text\\\"\\\"\\\"\\n    return text\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"PythonFunction\"},\"description\":\"Python function to be executed.\",\"base_classes\":[\"Callable\"],\"display_name\":\"PythonFunction\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"JsonSpec\":{\"template\":{\"path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".json\",\".yaml\",\".yml\"],\"file_path\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"max_value_length\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"max_value_length\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"JsonSpec\"},\"description\":\"\",\"base_classes\":[\"JsonSpec\",\"BaseTool\",\"Tool\"],\"display_name\":\"JsonSpec\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"BingSearchRun\":{\"template\":{\"api_wrapper\":{\"type\":\"BingSearchAPIWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"handle_validation_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_validation_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"BingSearchRun\"},\"description\":\"\",\"base_classes\":[\"Runnable\",\"BingSearchRun\",\"Generic\",\"BaseTool\",\"RunnableSerializable\",\"Tool\",\"Serializable\",\"object\"],\"display_name\":\"BingSearchRun\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"GoogleSearchResults\":{\"template\":{\"api_wrapper\":{\"type\":\"GoogleSearchAPIWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"handle_validation_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_validation_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"num_results\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":4,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"num_results\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"GoogleSearchResults\"},\"description\":\"\",\"base_classes\":[\"GoogleSearchResults\",\"Runnable\",\"Generic\",\"BaseTool\",\"RunnableSerializable\",\"Tool\",\"Serializable\",\"object\"],\"display_name\":\"GoogleSearchResults\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"GoogleSearchRun\":{\"template\":{\"api_wrapper\":{\"type\":\"GoogleSearchAPIWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"handle_validation_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_validation_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"GoogleSearchRun\"},\"description\":\"\",\"base_classes\":[\"Runnable\",\"Generic\",\"BaseTool\",\"RunnableSerializable\",\"Tool\",\"GoogleSearchRun\",\"Serializable\",\"object\"],\"display_name\":\"GoogleSearchRun\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"GoogleSerperRun\":{\"template\":{\"api_wrapper\":{\"type\":\"GoogleSerperAPIWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"handle_validation_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_validation_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"GoogleSerperRun\"},\"description\":\"\",\"base_classes\":[\"Runnable\",\"Generic\",\"BaseTool\",\"RunnableSerializable\",\"Tool\",\"Serializable\",\"GoogleSerperRun\",\"object\"],\"display_name\":\"GoogleSerperRun\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"InfoSQLDatabaseTool\":{\"template\":{\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"db\":{\"type\":\"SQLDatabase\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"db\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"handle_validation_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_validation_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"InfoSQLDatabaseTool\"},\"description\":\"\",\"base_classes\":[\"InfoSQLDatabaseTool\",\"Runnable\",\"BaseSQLDatabaseTool\",\"Generic\",\"BaseTool\",\"RunnableSerializable\",\"Tool\",\"Serializable\",\"object\"],\"display_name\":\"InfoSQLDatabaseTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"JsonGetValueTool\":{\"template\":{\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"spec\":{\"type\":\"JsonSpec\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"spec\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"handle_validation_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_validation_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"JsonGetValueTool\"},\"description\":\"\",\"base_classes\":[\"Runnable\",\"Generic\",\"BaseTool\",\"RunnableSerializable\",\"Tool\",\"Serializable\",\"object\",\"JsonGetValueTool\"],\"display_name\":\"JsonGetValueTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"JsonListKeysTool\":{\"template\":{\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"spec\":{\"type\":\"JsonSpec\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"spec\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"handle_validation_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_validation_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"JsonListKeysTool\"},\"description\":\"\",\"base_classes\":[\"Runnable\",\"Generic\",\"BaseTool\",\"RunnableSerializable\",\"Tool\",\"Serializable\",\"object\",\"JsonListKeysTool\"],\"display_name\":\"JsonListKeysTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"ListSQLDatabaseTool\":{\"template\":{\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"db\":{\"type\":\"SQLDatabase\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"db\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"handle_validation_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_validation_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"ListSQLDatabaseTool\"},\"description\":\"\",\"base_classes\":[\"Runnable\",\"BaseSQLDatabaseTool\",\"Generic\",\"BaseTool\",\"RunnableSerializable\",\"Tool\",\"Serializable\",\"object\",\"ListSQLDatabaseTool\"],\"display_name\":\"ListSQLDatabaseTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"QuerySQLDataBaseTool\":{\"template\":{\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"db\":{\"type\":\"SQLDatabase\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"db\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"handle_validation_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_validation_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"QuerySQLDataBaseTool\"},\"description\":\"\",\"base_classes\":[\"Runnable\",\"BaseSQLDatabaseTool\",\"Generic\",\"BaseTool\",\"RunnableSerializable\",\"Tool\",\"QuerySQLDataBaseTool\",\"Serializable\",\"object\"],\"display_name\":\"QuerySQLDataBaseTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"RequestsDeleteTool\":{\"template\":{\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"requests_wrapper\":{\"type\":\"GenericRequestsWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"requests_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"handle_validation_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_validation_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"RequestsDeleteTool\"},\"description\":\"\",\"base_classes\":[\"Runnable\",\"Generic\",\"BaseTool\",\"RunnableSerializable\",\"Tool\",\"Serializable\",\"object\",\"RequestsDeleteTool\",\"BaseRequestsTool\"],\"display_name\":\"RequestsDeleteTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"RequestsGetTool\":{\"template\":{\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"requests_wrapper\":{\"type\":\"GenericRequestsWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"requests_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"handle_validation_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_validation_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"RequestsGetTool\"},\"description\":\"\",\"base_classes\":[\"Runnable\",\"Generic\",\"BaseTool\",\"RunnableSerializable\",\"Tool\",\"Serializable\",\"object\",\"RequestsGetTool\",\"BaseRequestsTool\"],\"display_name\":\"RequestsGetTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"RequestsPatchTool\":{\"template\":{\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"requests_wrapper\":{\"type\":\"GenericRequestsWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"requests_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"handle_validation_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_validation_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"RequestsPatchTool\"},\"description\":\"\",\"base_classes\":[\"Runnable\",\"RequestsPatchTool\",\"Generic\",\"BaseTool\",\"RunnableSerializable\",\"Tool\",\"Serializable\",\"object\",\"BaseRequestsTool\"],\"display_name\":\"RequestsPatchTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"RequestsPostTool\":{\"template\":{\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"requests_wrapper\":{\"type\":\"GenericRequestsWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"requests_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"handle_validation_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_validation_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"RequestsPostTool\"},\"description\":\"\",\"base_classes\":[\"Runnable\",\"Generic\",\"BaseTool\",\"RunnableSerializable\",\"Tool\",\"Serializable\",\"RequestsPostTool\",\"object\",\"BaseRequestsTool\"],\"display_name\":\"RequestsPostTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"RequestsPutTool\":{\"template\":{\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"requests_wrapper\":{\"type\":\"GenericRequestsWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"requests_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"handle_validation_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_validation_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"RequestsPutTool\"},\"description\":\"\",\"base_classes\":[\"RequestsPutTool\",\"Runnable\",\"Generic\",\"BaseTool\",\"RunnableSerializable\",\"Tool\",\"Serializable\",\"object\",\"BaseRequestsTool\"],\"display_name\":\"RequestsPutTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"WikipediaQueryRun\":{\"template\":{\"api_wrapper\":{\"type\":\"WikipediaAPIWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"handle_validation_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_validation_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"WikipediaQueryRun\"},\"description\":\"\",\"base_classes\":[\"Runnable\",\"Generic\",\"BaseTool\",\"RunnableSerializable\",\"Tool\",\"WikipediaQueryRun\",\"Serializable\",\"object\"],\"display_name\":\"WikipediaQueryRun\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"WolframAlphaQueryRun\":{\"template\":{\"api_wrapper\":{\"type\":\"WolframAlphaAPIWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"handle_validation_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_validation_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"WolframAlphaQueryRun\"},\"description\":\"\",\"base_classes\":[\"Runnable\",\"WolframAlphaQueryRun\",\"Generic\",\"BaseTool\",\"RunnableSerializable\",\"Tool\",\"Serializable\",\"object\"],\"display_name\":\"WolframAlphaQueryRun\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"pinned\":false,\"beta\":false}},\"toolkits\":{\"JsonToolkit\":{\"template\":{\"spec\":{\"type\":\"JsonSpec\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"spec\",\"display_name\":\"Spec\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langchain_community.tools.json.tool import JsonSpec\\nfrom langchain_community.agent_toolkits.json.toolkit import JsonToolkit\\n\\n\\nclass JsonToolkitComponent(CustomComponent):\\n    display_name = \\\"JsonToolkit\\\"\\n    description = \\\"Toolkit for interacting with a JSON spec.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"spec\\\": {\\\"display_name\\\": \\\"Spec\\\", \\\"type\\\": JsonSpec},\\n        }\\n\\n    def build(self, spec: JsonSpec) -> JsonToolkit:\\n        return JsonToolkit(spec=spec)\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Toolkit for interacting with a JSON spec.\",\"base_classes\":[\"BaseToolkit\",\"JsonToolkit\"],\"display_name\":\"JsonToolkit\",\"documentation\":\"\",\"custom_fields\":{\"spec\":null},\"output_types\":[\"JsonToolkit\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"OpenAPIToolkit\":{\"template\":{\"json_agent\":{\"type\":\"AgentExecutor\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"json_agent\",\"display_name\":\"JSON Agent\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"requests_wrapper\":{\"type\":\"TextRequestsWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"requests_wrapper\",\"display_name\":\"Text Requests Wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langchain_community.agent_toolkits.openapi.toolkit import BaseToolkit, OpenAPIToolkit\\nfrom langchain_community.utilities.requests import TextRequestsWrapper\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import AgentExecutor\\n\\n\\nclass OpenAPIToolkitComponent(CustomComponent):\\n    display_name = \\\"OpenAPIToolkit\\\"\\n    description = \\\"Toolkit for interacting with an OpenAPI API.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"json_agent\\\": {\\\"display_name\\\": \\\"JSON Agent\\\"},\\n            \\\"requests_wrapper\\\": {\\\"display_name\\\": \\\"Text Requests Wrapper\\\"},\\n        }\\n\\n    def build(\\n        self,\\n        json_agent: AgentExecutor,\\n        requests_wrapper: TextRequestsWrapper,\\n    ) -> BaseToolkit:\\n        return OpenAPIToolkit(json_agent=json_agent, requests_wrapper=requests_wrapper)\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Toolkit for interacting with an OpenAPI API.\",\"base_classes\":[\"BaseToolkit\"],\"display_name\":\"OpenAPIToolkit\",\"documentation\":\"\",\"custom_fields\":{\"json_agent\":null,\"requests_wrapper\":null},\"output_types\":[\"BaseToolkit\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"VectorStoreInfo\":{\"template\":{\"vectorstore\":{\"type\":\"VectorStore\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"vectorstore\",\"display_name\":\"VectorStore\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, Union\\n\\nfrom langchain.agents.agent_toolkits.vectorstore.toolkit import VectorStoreInfo\\nfrom langchain_community.vectorstores import VectorStore\\n\\nfrom langflow import CustomComponent\\n\\n\\nclass VectorStoreInfoComponent(CustomComponent):\\n    display_name = \\\"VectorStoreInfo\\\"\\n    description = \\\"Information about a VectorStore\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"vectorstore\\\": {\\\"display_name\\\": \\\"VectorStore\\\"},\\n            \\\"description\\\": {\\\"display_name\\\": \\\"Description\\\", \\\"multiline\\\": True},\\n            \\\"name\\\": {\\\"display_name\\\": \\\"Name\\\"},\\n        }\\n\\n    def build(\\n        self,\\n        vectorstore: VectorStore,\\n        description: str,\\n        name: str,\\n    ) -> Union[VectorStoreInfo, Callable]:\\n        return VectorStoreInfo(vectorstore=vectorstore, description=description, name=name)\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"description\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"description\",\"display_name\":\"Description\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"name\",\"display_name\":\"Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"description\":\"Information about a VectorStore\",\"base_classes\":[\"Callable\",\"VectorStoreInfo\"],\"display_name\":\"VectorStoreInfo\",\"documentation\":\"\",\"custom_fields\":{\"vectorstore\":null,\"description\":null,\"name\":null},\"output_types\":[\"VectorStoreInfo\",\"Callable\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"VectorStoreRouterToolkit\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"vectorstores\":{\"type\":\"VectorStoreInfo\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"vectorstores\",\"display_name\":\"Vector Stores\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.agents.agent_toolkits.vectorstore.toolkit import VectorStoreRouterToolkit\\nfrom langchain.agents.agent_toolkits.vectorstore.toolkit import VectorStoreInfo\\nfrom langflow.field_typing import BaseLanguageModel, Tool\\n\\n\\nclass VectorStoreRouterToolkitComponent(CustomComponent):\\n    display_name = \\\"VectorStoreRouterToolkit\\\"\\n    description = \\\"Toolkit for routing between Vector Stores.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"vectorstores\\\": {\\\"display_name\\\": \\\"Vector Stores\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n        }\\n\\n    def build(\\n        self, vectorstores: List[VectorStoreInfo], llm: BaseLanguageModel\\n    ) -> Union[Tool, VectorStoreRouterToolkit]:\\n        print(\\\"vectorstores\\\", vectorstores)\\n        print(\\\"llm\\\", llm)\\n        return VectorStoreRouterToolkit(vectorstores=vectorstores, llm=llm)\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Toolkit for routing between Vector Stores.\",\"base_classes\":[\"Runnable\",\"BaseToolkit\",\"Generic\",\"VectorStoreRouterToolkit\",\"BaseTool\",\"RunnableSerializable\",\"Tool\",\"Serializable\",\"object\"],\"display_name\":\"VectorStoreRouterToolkit\",\"documentation\":\"\",\"custom_fields\":{\"vectorstores\":null,\"llm\":null},\"output_types\":[\"Tool\",\"VectorStoreRouterToolkit\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"VectorStoreToolkit\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"vectorstore_info\":{\"type\":\"VectorStoreInfo\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"vectorstore_info\",\"display_name\":\"Vector Store Info\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langchain.agents.agent_toolkits.vectorstore.toolkit import VectorStoreToolkit\\nfrom langchain.agents.agent_toolkits.vectorstore.toolkit import VectorStoreInfo\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n)\\nfrom langflow.field_typing import (\\n    Tool,\\n)\\nfrom typing import Union\\n\\n\\nclass VectorStoreToolkitComponent(CustomComponent):\\n    display_name = \\\"VectorStoreToolkit\\\"\\n    description = \\\"Toolkit for interacting with a Vector Store.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"vectorstore_info\\\": {\\\"display_name\\\": \\\"Vector Store Info\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n        }\\n\\n    def build(\\n        self,\\n        vectorstore_info: VectorStoreInfo,\\n        llm: BaseLanguageModel,\\n    ) -> Union[Tool, VectorStoreToolkit]:\\n        return VectorStoreToolkit(vectorstore_info=vectorstore_info, llm=llm)\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Toolkit for interacting with a Vector Store.\",\"base_classes\":[\"Runnable\",\"BaseToolkit\",\"Generic\",\"BaseTool\",\"RunnableSerializable\",\"Tool\",\"Serializable\",\"object\",\"VectorStoreToolkit\"],\"display_name\":\"VectorStoreToolkit\",\"documentation\":\"\",\"custom_fields\":{\"vectorstore_info\":null,\"llm\":null},\"output_types\":[\"Tool\",\"VectorStoreToolkit\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"Metaphor\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import List, Union\\n\\nfrom langchain.agents import tool\\nfrom langchain.agents.agent_toolkits.base import BaseToolkit\\nfrom langchain.tools import Tool\\nfrom metaphor_python import Metaphor  # type: ignore\\n\\nfrom langflow import CustomComponent\\n\\n\\nclass MetaphorToolkit(CustomComponent):\\n    display_name: str = \\\"Metaphor\\\"\\n    description: str = \\\"Metaphor Toolkit\\\"\\n    documentation = \\\"https://python.langchain.com/docs/integrations/tools/metaphor_search\\\"\\n    beta: bool = True\\n    # api key should be password = True\\n    field_config = {\\n        \\\"metaphor_api_key\\\": {\\\"display_name\\\": \\\"Metaphor API Key\\\", \\\"password\\\": True},\\n        \\\"code\\\": {\\\"advanced\\\": True},\\n    }\\n\\n    def build(\\n        self,\\n        metaphor_api_key: str,\\n        use_autoprompt: bool = True,\\n        search_num_results: int = 5,\\n        similar_num_results: int = 5,\\n    ) -> Union[Tool, BaseToolkit]:\\n        # If documents, then we need to create a Vectara instance using .from_documents\\n        client = Metaphor(api_key=metaphor_api_key)\\n\\n        @tool\\n        def search(query: str):\\n            \\\"\\\"\\\"Call search engine with a query.\\\"\\\"\\\"\\n            return client.search(query, use_autoprompt=use_autoprompt, num_results=search_num_results)\\n\\n        @tool\\n        def get_contents(ids: List[str]):\\n            \\\"\\\"\\\"Get contents of a webpage.\\n\\n            The ids passed in should be a list of ids as fetched from `search`.\\n            \\\"\\\"\\\"\\n            return client.get_contents(ids)\\n\\n        @tool\\n        def find_similar(url: str):\\n            \\\"\\\"\\\"Get search results similar to a given URL.\\n\\n            The url passed in should be a URL returned from `search`\\n            \\\"\\\"\\\"\\n            return client.find_similar(url, num_results=similar_num_results)\\n\\n        return [search, get_contents, find_similar]  # type: ignore\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"metaphor_api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"metaphor_api_key\",\"display_name\":\"Metaphor API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"search_num_results\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":5,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"search_num_results\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"similar_num_results\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":5,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"similar_num_results\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"use_autoprompt\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"use_autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Metaphor Toolkit\",\"base_classes\":[\"Runnable\",\"BaseToolkit\",\"Generic\",\"BaseTool\",\"RunnableSerializable\",\"Tool\",\"Serializable\",\"object\"],\"display_name\":\"Metaphor\",\"documentation\":\"https://python.langchain.com/docs/integrations/tools/metaphor_search\",\"custom_fields\":{\"metaphor_api_key\":null,\"use_autoprompt\":null,\"search_num_results\":null,\"similar_num_results\":null},\"output_types\":[\"Tool\",\"BaseToolkit\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true}},\"wrappers\":{\"TextRequestsWrapper\":{\"template\":{\"aiosession\":{\"type\":\"ClientSession\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"aiosession\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"auth\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"auth\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"headers\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"fileTypes\":[],\"password\":false,\"name\":\"headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"response_content_type\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"text\",\"fileTypes\":[],\"password\":false,\"name\":\"response_content_type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"TextRequestsWrapper\"},\"description\":\"Lightweight wrapper around requests library, with async support.\",\"base_classes\":[\"TextRequestsWrapper\",\"GenericRequestsWrapper\"],\"display_name\":\"TextRequestsWrapper\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"pinned\":false,\"beta\":false}},\"embeddings\":{\"OpenAIEmbeddings\":{\"template\":{\"allowed_special\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":[],\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"allowed_special\",\"display_name\":\"Allowed Special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"chunk_size\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1000,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chunk_size\",\"display_name\":\"Chunk Size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"client\",\"display_name\":\"Client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Any, Callable, Dict, List, Optional, Union\\n\\nfrom langchain_openai.embeddings.base import OpenAIEmbeddings\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import NestedDict\\nfrom pydantic.v1.types import SecretStr\\n\\n\\nclass OpenAIEmbeddingsComponent(CustomComponent):\\n    display_name = \\\"OpenAIEmbeddings\\\"\\n    description = \\\"OpenAI embedding models\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"allowed_special\\\": {\\n                \\\"display_name\\\": \\\"Allowed Special\\\",\\n                \\\"advanced\\\": True,\\n                \\\"field_type\\\": \\\"str\\\",\\n                \\\"is_list\\\": True,\\n            },\\n            \\\"default_headers\\\": {\\n                \\\"display_name\\\": \\\"Default Headers\\\",\\n                \\\"advanced\\\": True,\\n                \\\"field_type\\\": \\\"dict\\\",\\n            },\\n            \\\"default_query\\\": {\\n                \\\"display_name\\\": \\\"Default Query\\\",\\n                \\\"advanced\\\": True,\\n                \\\"field_type\\\": \\\"NestedDict\\\",\\n            },\\n            \\\"disallowed_special\\\": {\\n                \\\"display_name\\\": \\\"Disallowed Special\\\",\\n                \\\"advanced\\\": True,\\n                \\\"field_type\\\": \\\"str\\\",\\n                \\\"is_list\\\": True,\\n            },\\n            \\\"chunk_size\\\": {\\\"display_name\\\": \\\"Chunk Size\\\", \\\"advanced\\\": True},\\n            \\\"client\\\": {\\\"display_name\\\": \\\"Client\\\", \\\"advanced\\\": True},\\n            \\\"deployment\\\": {\\\"display_name\\\": \\\"Deployment\\\", \\\"advanced\\\": True},\\n            \\\"embedding_ctx_length\\\": {\\n                \\\"display_name\\\": \\\"Embedding Context Length\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"max_retries\\\": {\\\"display_name\\\": \\\"Max Retries\\\", \\\"advanced\\\": True},\\n            \\\"model\\\": {\\n                \\\"display_name\\\": \\\"Model\\\",\\n                \\\"advanced\\\": False,\\n                \\\"options\\\": [\\\"text-embedding-3-small\\\", \\\"text-embedding-3-large\\\", \\\"text-embedding-ada-002\\\"],\\n            },\\n            \\\"model_kwargs\\\": {\\\"display_name\\\": \\\"Model Kwargs\\\", \\\"advanced\\\": True},\\n            \\\"openai_api_base\\\": {\\\"display_name\\\": \\\"OpenAI API Base\\\", \\\"password\\\": True, \\\"advanced\\\": True},\\n            \\\"openai_api_key\\\": {\\\"display_name\\\": \\\"OpenAI API Key\\\", \\\"password\\\": True},\\n            \\\"openai_api_type\\\": {\\\"display_name\\\": \\\"OpenAI API Type\\\", \\\"advanced\\\": True, \\\"password\\\": True},\\n            \\\"openai_api_version\\\": {\\n                \\\"display_name\\\": \\\"OpenAI API Version\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"openai_organization\\\": {\\n                \\\"display_name\\\": \\\"OpenAI Organization\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"openai_proxy\\\": {\\\"display_name\\\": \\\"OpenAI Proxy\\\", \\\"advanced\\\": True},\\n            \\\"request_timeout\\\": {\\\"display_name\\\": \\\"Request Timeout\\\", \\\"advanced\\\": True},\\n            \\\"show_progress_bar\\\": {\\n                \\\"display_name\\\": \\\"Show Progress Bar\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"skip_empty\\\": {\\\"display_name\\\": \\\"Skip Empty\\\", \\\"advanced\\\": True},\\n            \\\"tiktoken_model_name\\\": {\\\"display_name\\\": \\\"TikToken Model Name\\\"},\\n            \\\"tikToken_enable\\\": {\\\"display_name\\\": \\\"TikToken Enable\\\", \\\"advanced\\\": True},\\n        }\\n\\n    def build(\\n        self,\\n        default_headers: Optional[Dict[str, str]] = None,\\n        default_query: Optional[NestedDict] = {},\\n        allowed_special: List[str] = [],\\n        disallowed_special: List[str] = [\\\"all\\\"],\\n        chunk_size: int = 1000,\\n        client: Optional[Any] = None,\\n        deployment: str = \\\"text-embedding-3-small\\\",\\n        embedding_ctx_length: int = 8191,\\n        max_retries: int = 6,\\n        model: str = \\\"text-embedding-3-small\\\",\\n        model_kwargs: NestedDict = {},\\n        openai_api_base: Optional[str] = None,\\n        openai_api_key: Optional[str] = \\\"\\\",\\n        openai_api_type: Optional[str] = None,\\n        openai_api_version: Optional[str] = None,\\n        openai_organization: Optional[str] = None,\\n        openai_proxy: Optional[str] = None,\\n        request_timeout: Optional[float] = None,\\n        show_progress_bar: bool = False,\\n        skip_empty: bool = False,\\n        tiktoken_enable: bool = True,\\n        tiktoken_model_name: Optional[str] = None,\\n    ) -> Union[OpenAIEmbeddings, Callable]:\\n        # This is to avoid errors with Vector Stores (e.g Chroma)\\n        if disallowed_special == [\\\"all\\\"]:\\n            disallowed_special = \\\"all\\\"  # type: ignore\\n\\n        api_key = SecretStr(openai_api_key) if openai_api_key else None\\n\\n        return OpenAIEmbeddings(\\n            tiktoken_enabled=tiktoken_enable,\\n            default_headers=default_headers,\\n            default_query=default_query,\\n            allowed_special=set(allowed_special),\\n            disallowed_special=\\\"all\\\",\\n            chunk_size=chunk_size,\\n            client=client,\\n            deployment=deployment,\\n            embedding_ctx_length=embedding_ctx_length,\\n            max_retries=max_retries,\\n            model=model,\\n            model_kwargs=model_kwargs,\\n            base_url=openai_api_base,\\n            api_key=api_key,\\n            openai_api_type=openai_api_type,\\n            api_version=openai_api_version,\\n            organization=openai_organization,\\n            openai_proxy=openai_proxy,\\n            timeout=request_timeout,\\n            show_progress_bar=show_progress_bar,\\n            skip_empty=skip_empty,\\n            tiktoken_model_name=tiktoken_model_name,\\n        )\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"default_headers\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"default_headers\",\"display_name\":\"Default Headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"default_query\":{\"type\":\"NestedDict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"default_query\",\"display_name\":\"Default Query\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"deployment\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"text-embedding-3-small\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"deployment\",\"display_name\":\"Deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"disallowed_special\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":[\"all\"],\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"disallowed_special\",\"display_name\":\"Disallowed Special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"embedding_ctx_length\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":8191,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"embedding_ctx_length\",\"display_name\":\"Embedding Context Length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"max_retries\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":6,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"max_retries\",\"display_name\":\"Max Retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"model\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"text-embedding-3-small\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"text-embedding-3-small\",\"text-embedding-3-large\",\"text-embedding-ada-002\"],\"name\":\"model\",\"display_name\":\"Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"model_kwargs\":{\"type\":\"NestedDict\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"model_kwargs\",\"display_name\":\"Model Kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"openai_api_base\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"openai_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"openai_api_type\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"openai_api_version\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"openai_organization\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"openai_proxy\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"request_timeout\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"request_timeout\",\"display_name\":\"Request Timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"show_progress_bar\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"show_progress_bar\",\"display_name\":\"Show Progress Bar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"skip_empty\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"skip_empty\",\"display_name\":\"Skip Empty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"tiktoken_enable\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tiktoken_enable\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"tiktoken_model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tiktoken_model_name\",\"display_name\":\"TikToken Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"description\":\"OpenAI embedding models\",\"base_classes\":[\"Embeddings\",\"OpenAIEmbeddings\",\"Callable\"],\"display_name\":\"OpenAIEmbeddings\",\"documentation\":\"\",\"custom_fields\":{\"default_headers\":null,\"default_query\":null,\"allowed_special\":null,\"disallowed_special\":null,\"chunk_size\":null,\"client\":null,\"deployment\":null,\"embedding_ctx_length\":null,\"max_retries\":null,\"model\":null,\"model_kwargs\":null,\"openai_api_base\":null,\"openai_api_key\":null,\"openai_api_type\":null,\"openai_api_version\":null,\"openai_organization\":null,\"openai_proxy\":null,\"request_timeout\":null,\"show_progress_bar\":null,\"skip_empty\":null,\"tiktoken_enable\":null,\"tiktoken_model_name\":null},\"output_types\":[\"OpenAIEmbeddings\",\"Callable\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"CohereEmbeddings\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain_community.embeddings.cohere import CohereEmbeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass CohereEmbeddingsComponent(CustomComponent):\\n    display_name = \\\"CohereEmbeddings\\\"\\n    description = \\\"Cohere embedding models.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"cohere_api_key\\\": {\\\"display_name\\\": \\\"Cohere API Key\\\", \\\"password\\\": True},\\n            \\\"model\\\": {\\\"display_name\\\": \\\"Model\\\", \\\"default\\\": \\\"embed-english-v2.0\\\", \\\"advanced\\\": True},\\n            \\\"truncate\\\": {\\\"display_name\\\": \\\"Truncate\\\", \\\"advanced\\\": True},\\n            \\\"max_retries\\\": {\\\"display_name\\\": \\\"Max Retries\\\", \\\"advanced\\\": True},\\n            \\\"user_agent\\\": {\\\"display_name\\\": \\\"User Agent\\\", \\\"advanced\\\": True},\\n        }\\n\\n    def build(\\n        self,\\n        request_timeout: Optional[float] = None,\\n        cohere_api_key: str = \\\"\\\",\\n        max_retries: Optional[int] = None,\\n        model: str = \\\"embed-english-v2.0\\\",\\n        truncate: Optional[str] = None,\\n        user_agent: str = \\\"langchain\\\",\\n    ) -> CohereEmbeddings:\\n        return CohereEmbeddings(  # type: ignore\\n            max_retries=max_retries,\\n            user_agent=user_agent,\\n            request_timeout=request_timeout,\\n            cohere_api_key=cohere_api_key,\\n            model=model,\\n            truncate=truncate,\\n        )\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"cohere_api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"cohere_api_key\",\"display_name\":\"Cohere API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"max_retries\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"max_retries\",\"display_name\":\"Max Retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"model\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"embed-english-v2.0\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"model\",\"display_name\":\"Model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"request_timeout\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"truncate\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"truncate\",\"display_name\":\"Truncate\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"user_agent\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"langchain\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"user_agent\",\"display_name\":\"User Agent\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"description\":\"Cohere embedding models.\",\"base_classes\":[\"Embeddings\",\"CohereEmbeddings\"],\"display_name\":\"CohereEmbeddings\",\"documentation\":\"\",\"custom_fields\":{\"request_timeout\":null,\"cohere_api_key\":null,\"max_retries\":null,\"model\":null,\"truncate\":null,\"user_agent\":null},\"output_types\":[\"CohereEmbeddings\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"HuggingFaceEmbeddings\":{\"template\":{\"cache_folder\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"cache_folder\",\"display_name\":\"Cache Folder\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import Optional, Dict\\nfrom langchain_community.embeddings.huggingface import HuggingFaceEmbeddings\\n\\n\\nclass HuggingFaceEmbeddingsComponent(CustomComponent):\\n    display_name = \\\"HuggingFaceEmbeddings\\\"\\n    description = \\\"HuggingFace sentence_transformers embedding models.\\\"\\n    documentation = (\\n        \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/sentence_transformers\\\"\\n    )\\n\\n    def build_config(self):\\n        return {\\n            \\\"cache_folder\\\": {\\\"display_name\\\": \\\"Cache Folder\\\", \\\"advanced\\\": True},\\n            \\\"encode_kwargs\\\": {\\\"display_name\\\": \\\"Encode Kwargs\\\", \\\"advanced\\\": True, \\\"field_type\\\": \\\"dict\\\"},\\n            \\\"model_kwargs\\\": {\\\"display_name\\\": \\\"Model Kwargs\\\", \\\"field_type\\\": \\\"dict\\\", \\\"advanced\\\": True},\\n            \\\"model_name\\\": {\\\"display_name\\\": \\\"Model Name\\\"},\\n            \\\"multi_process\\\": {\\\"display_name\\\": \\\"Multi Process\\\", \\\"advanced\\\": True},\\n        }\\n\\n    def build(\\n        self,\\n        cache_folder: Optional[str] = None,\\n        encode_kwargs: Optional[Dict] = {},\\n        model_kwargs: Optional[Dict] = {},\\n        model_name: str = \\\"sentence-transformers/all-mpnet-base-v2\\\",\\n        multi_process: bool = False,\\n    ) -> HuggingFaceEmbeddings:\\n        return HuggingFaceEmbeddings(\\n            cache_folder=cache_folder,\\n            encode_kwargs=encode_kwargs,\\n            model_kwargs=model_kwargs,\\n            model_name=model_name,\\n            multi_process=multi_process,\\n        )\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"encode_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"encode_kwargs\",\"display_name\":\"Encode Kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"model_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"model_kwargs\",\"display_name\":\"Model Kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"model_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"sentence-transformers/all-mpnet-base-v2\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"model_name\",\"display_name\":\"Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"multi_process\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"multi_process\",\"display_name\":\"Multi Process\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"HuggingFace sentence_transformers embedding models.\",\"base_classes\":[\"Embeddings\",\"HuggingFaceEmbeddings\"],\"display_name\":\"HuggingFaceEmbeddings\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/sentence_transformers\",\"custom_fields\":{\"cache_folder\":null,\"encode_kwargs\":null,\"model_kwargs\":null,\"model_name\":null,\"multi_process\":null},\"output_types\":[\"HuggingFaceEmbeddings\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"VertexAIEmbeddings\":{\"template\":{\"credentials\":{\"type\":\"file\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".json\"],\"file_path\":\"\",\"password\":false,\"name\":\"credentials\",\"display_name\":\"Credentials\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langchain_community.embeddings import VertexAIEmbeddings\\nfrom typing import Optional, List\\n\\n\\nclass VertexAIEmbeddingsComponent(CustomComponent):\\n    display_name = \\\"VertexAIEmbeddings\\\"\\n    description = \\\"Google Cloud VertexAI embedding models.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"credentials\\\": {\\n                \\\"display_name\\\": \\\"Credentials\\\",\\n                \\\"value\\\": \\\"\\\",\\n                \\\"file_types\\\": [\\\".json\\\"],\\n                \\\"field_type\\\": \\\"file\\\",\\n            },\\n            \\\"instance\\\": {\\n                \\\"display_name\\\": \\\"instance\\\",\\n                \\\"advanced\\\": True,\\n                \\\"field_type\\\": \\\"dict\\\",\\n            },\\n            \\\"location\\\": {\\n                \\\"display_name\\\": \\\"Location\\\",\\n                \\\"value\\\": \\\"us-central1\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"max_output_tokens\\\": {\\\"display_name\\\": \\\"Max Output Tokens\\\", \\\"value\\\": 128},\\n            \\\"max_retries\\\": {\\n                \\\"display_name\\\": \\\"Max Retries\\\",\\n                \\\"value\\\": 6,\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"model_name\\\": {\\n                \\\"display_name\\\": \\\"Model Name\\\",\\n                \\\"value\\\": \\\"textembedding-gecko\\\",\\n            },\\n            \\\"n\\\": {\\\"display_name\\\": \\\"N\\\", \\\"value\\\": 1, \\\"advanced\\\": True},\\n            \\\"project\\\": {\\\"display_name\\\": \\\"Project\\\", \\\"advanced\\\": True},\\n            \\\"request_parallelism\\\": {\\n                \\\"display_name\\\": \\\"Request Parallelism\\\",\\n                \\\"value\\\": 5,\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"stop\\\": {\\\"display_name\\\": \\\"Stop\\\", \\\"advanced\\\": True},\\n            \\\"streaming\\\": {\\n                \\\"display_name\\\": \\\"Streaming\\\",\\n                \\\"value\\\": False,\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"temperature\\\": {\\\"display_name\\\": \\\"Temperature\\\", \\\"value\\\": 0.0},\\n            \\\"top_k\\\": {\\\"display_name\\\": \\\"Top K\\\", \\\"value\\\": 40, \\\"advanced\\\": True},\\n            \\\"top_p\\\": {\\\"display_name\\\": \\\"Top P\\\", \\\"value\\\": 0.95, \\\"advanced\\\": True},\\n        }\\n\\n    def build(\\n        self,\\n        instance: Optional[str] = None,\\n        credentials: Optional[str] = None,\\n        location: str = \\\"us-central1\\\",\\n        max_output_tokens: int = 128,\\n        max_retries: int = 6,\\n        model_name: str = \\\"textembedding-gecko\\\",\\n        n: int = 1,\\n        project: Optional[str] = None,\\n        request_parallelism: int = 5,\\n        stop: Optional[List[str]] = None,\\n        streaming: bool = False,\\n        temperature: float = 0.0,\\n        top_k: int = 40,\\n        top_p: float = 0.95,\\n    ) -> VertexAIEmbeddings:\\n        return VertexAIEmbeddings(\\n            instance=instance,\\n            credentials=credentials,\\n            location=location,\\n            max_output_tokens=max_output_tokens,\\n            max_retries=max_retries,\\n            model_name=model_name,\\n            n=n,\\n            project=project,\\n            request_parallelism=request_parallelism,\\n            stop=stop,\\n            streaming=streaming,\\n            temperature=temperature,\\n            top_k=top_k,\\n            top_p=top_p,\\n        )\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"instance\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"instance\",\"display_name\":\"instance\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"location\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"us-central1\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"location\",\"display_name\":\"Location\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"max_output_tokens\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":128,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"max_output_tokens\",\"display_name\":\"Max Output Tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"max_retries\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":6,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"max_retries\",\"display_name\":\"Max Retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"model_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"textembedding-gecko\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"model_name\",\"display_name\":\"Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"n\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"n\",\"display_name\":\"N\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"project\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"project\",\"display_name\":\"Project\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"request_parallelism\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":5,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"request_parallelism\",\"display_name\":\"Request Parallelism\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"stop\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"stop\",\"display_name\":\"Stop\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"streaming\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"streaming\",\"display_name\":\"Streaming\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"temperature\":{\"type\":\"float\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.0,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"top_k\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":40,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_k\",\"display_name\":\"Top K\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"top_p\":{\"type\":\"float\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.95,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_p\",\"display_name\":\"Top P\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Google Cloud VertexAI embedding models.\",\"base_classes\":[\"_VertexAICommon\",\"Embeddings\",\"_VertexAIBase\",\"VertexAIEmbeddings\"],\"display_name\":\"VertexAIEmbeddings\",\"documentation\":\"\",\"custom_fields\":{\"instance\":null,\"credentials\":null,\"location\":null,\"max_output_tokens\":null,\"max_retries\":null,\"model_name\":null,\"n\":null,\"project\":null,\"request_parallelism\":null,\"stop\":null,\"streaming\":null,\"temperature\":null,\"top_k\":null,\"top_p\":null},\"output_types\":[\"VertexAIEmbeddings\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"OllamaEmbeddings\":{\"template\":{\"base_url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"http://localhost:11434\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"base_url\",\"display_name\":\"Ollama Base URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langflow import CustomComponent\\nfrom langchain.embeddings.base import Embeddings\\nfrom langchain_community.embeddings import OllamaEmbeddings\\n\\n\\nclass OllamaEmbeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Ollama.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Ollama Embeddings\\\"\\n    description: str = \\\"Embeddings model from Ollama.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/integrations/text_embedding/ollama\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model\\\": {\\n                \\\"display_name\\\": \\\"Ollama Model\\\",\\n            },\\n            \\\"base_url\\\": {\\\"display_name\\\": \\\"Ollama Base URL\\\"},\\n            \\\"temperature\\\": {\\\"display_name\\\": \\\"Model Temperature\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model: str = \\\"llama2\\\",\\n        base_url: str = \\\"http://localhost:11434\\\",\\n        temperature: Optional[float] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = OllamaEmbeddings(model=model, base_url=base_url, temperature=temperature)  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to Ollama API.\\\") from e\\n        return output\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"model\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"llama2\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"model\",\"display_name\":\"Ollama Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"temperature\",\"display_name\":\"Model Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Embeddings model from Ollama.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Ollama Embeddings\",\"documentation\":\"https://python.langchain.com/docs/integrations/text_embedding/ollama\",\"custom_fields\":{\"model\":null,\"base_url\":null,\"temperature\":null},\"output_types\":[\"Embeddings\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"AmazonBedrockEmbeddings\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings.base import Embeddings\\nfrom langchain_community.embeddings import BedrockEmbeddings\\n\\n\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"credentials_profile_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"endpoint_url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"model_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"region_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"custom_fields\":{\"model_id\":null,\"credentials_profile_name\":null,\"endpoint_url\":null,\"region_name\":null},\"output_types\":[\"Embeddings\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"AzureOpenAIEmbeddings\":{\"template\":{\"api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_key\",\"display_name\":\"API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"api_version\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"2023-08-01-preview\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"2022-12-01\",\"2023-03-15-preview\",\"2023-05-15\",\"2023-06-01-preview\",\"2023-07-01-preview\",\"2023-08-01-preview\"],\"name\":\"api_version\",\"display_name\":\"API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"azure_deployment\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"azure_deployment\",\"display_name\":\"Deployment Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"azure_endpoint\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"azure_endpoint\",\"display_name\":\"Azure Endpoint\",\"advanced\":false,\"dynamic\":false,\"info\":\"Your Azure endpoint, including the resource.. Example: `https://example-resource.azure.openai.com/`\",\"title_case\":false,\"input_types\":[\"Text\"]},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langchain.embeddings.base import Embeddings\\nfrom langchain_community.embeddings import AzureOpenAIEmbeddings\\n\\nfrom langflow import CustomComponent\\n\\n\\nclass AzureOpenAIEmbeddingsComponent(CustomComponent):\\n    display_name: str = \\\"AzureOpenAIEmbeddings\\\"\\n    description: str = \\\"Embeddings model from Azure OpenAI.\\\"\\n    documentation: str = \\\"https://python.langchain.com/docs/integrations/text_embedding/azureopenai\\\"\\n    beta = False\\n\\n    API_VERSION_OPTIONS = [\\n        \\\"2022-12-01\\\",\\n        \\\"2023-03-15-preview\\\",\\n        \\\"2023-05-15\\\",\\n        \\\"2023-06-01-preview\\\",\\n        \\\"2023-07-01-preview\\\",\\n        \\\"2023-08-01-preview\\\",\\n    ]\\n\\n    def build_config(self):\\n        return {\\n            \\\"azure_endpoint\\\": {\\n                \\\"display_name\\\": \\\"Azure Endpoint\\\",\\n                \\\"required\\\": True,\\n                \\\"info\\\": \\\"Your Azure endpoint, including the resource.. Example: `https://example-resource.azure.openai.com/`\\\",\\n            },\\n            \\\"azure_deployment\\\": {\\n                \\\"display_name\\\": \\\"Deployment Name\\\",\\n                \\\"required\\\": True,\\n            },\\n            \\\"api_version\\\": {\\n                \\\"display_name\\\": \\\"API Version\\\",\\n                \\\"options\\\": self.API_VERSION_OPTIONS,\\n                \\\"value\\\": self.API_VERSION_OPTIONS[-1],\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"api_key\\\": {\\n                \\\"display_name\\\": \\\"API Key\\\",\\n                \\\"required\\\": True,\\n                \\\"password\\\": True,\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        azure_endpoint: str,\\n        azure_deployment: str,\\n        api_version: str,\\n        api_key: str,\\n    ) -> Embeddings:\\n        try:\\n            embeddings = AzureOpenAIEmbeddings(\\n                azure_endpoint=azure_endpoint,\\n                azure_deployment=azure_deployment,\\n                api_version=api_version,\\n                api_key=api_key,\\n            )\\n\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AzureOpenAIEmbeddings API.\\\") from e\\n\\n        return embeddings\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Embeddings model from Azure OpenAI.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"AzureOpenAIEmbeddings\",\"documentation\":\"https://python.langchain.com/docs/integrations/text_embedding/azureopenai\",\"custom_fields\":{\"azure_endpoint\":null,\"azure_deployment\":null,\"api_version\":null,\"api_key\":null},\"output_types\":[\"Embeddings\"],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"HuggingFaceInferenceAPIEmbeddings\":{\"template\":{\"api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_key\",\"display_name\":\"API Key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"api_url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"http://localhost:8080\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"api_url\",\"display_name\":\"API URL\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"cache_folder\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"cache_folder\",\"display_name\":\"Cache Folder\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Dict, Optional\\n\\nfrom langchain_community.embeddings.huggingface import HuggingFaceInferenceAPIEmbeddings\\nfrom langflow import CustomComponent\\nfrom pydantic.v1.types import SecretStr\\n\\n\\nclass HuggingFaceInferenceAPIEmbeddingsComponent(CustomComponent):\\n    display_name = \\\"HuggingFaceInferenceAPIEmbeddings\\\"\\n    description = \\\"HuggingFace sentence_transformers embedding models, API version.\\\"\\n    documentation = \\\"https://github.com/huggingface/text-embeddings-inference\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"api_key\\\": {\\\"display_name\\\": \\\"API Key\\\", \\\"password\\\": True, \\\"advanced\\\": True},\\n            \\\"api_url\\\": {\\\"display_name\\\": \\\"API URL\\\", \\\"advanced\\\": True},\\n            \\\"model_name\\\": {\\\"display_name\\\": \\\"Model Name\\\"},\\n            \\\"cache_folder\\\": {\\\"display_name\\\": \\\"Cache Folder\\\", \\\"advanced\\\": True},\\n            \\\"encode_kwargs\\\": {\\\"display_name\\\": \\\"Encode Kwargs\\\", \\\"advanced\\\": True, \\\"field_type\\\": \\\"dict\\\"},\\n            \\\"model_kwargs\\\": {\\\"display_name\\\": \\\"Model Kwargs\\\", \\\"field_type\\\": \\\"dict\\\", \\\"advanced\\\": True},\\n            \\\"multi_process\\\": {\\\"display_name\\\": \\\"Multi Process\\\", \\\"advanced\\\": True},\\n        }\\n\\n    def build(\\n        self,\\n        api_key: Optional[str] = \\\"\\\",\\n        api_url: str = \\\"http://localhost:8080\\\",\\n        model_name: str = \\\"BAAI/bge-large-en-v1.5\\\",\\n        cache_folder: Optional[str] = None,\\n        encode_kwargs: Optional[Dict] = {},\\n        model_kwargs: Optional[Dict] = {},\\n        multi_process: bool = False,\\n    ) -> HuggingFaceInferenceAPIEmbeddings:\\n        if api_key:\\n            secret_api_key = SecretStr(api_key)\\n        else:\\n            raise ValueError(\\\"API Key is required\\\")\\n        return HuggingFaceInferenceAPIEmbeddings(\\n            api_key=secret_api_key,\\n            api_url=api_url,\\n            model_name=model_name,\\n        )\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"encode_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"encode_kwargs\",\"display_name\":\"Encode Kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"model_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"model_kwargs\",\"display_name\":\"Model Kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"model_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"BAAI/bge-large-en-v1.5\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"model_name\",\"display_name\":\"Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"multi_process\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"multi_process\",\"display_name\":\"Multi Process\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"HuggingFace sentence_transformers embedding models, API version.\",\"base_classes\":[\"Embeddings\",\"HuggingFaceInferenceAPIEmbeddings\"],\"display_name\":\"HuggingFaceInferenceAPIEmbeddings\",\"documentation\":\"https://github.com/huggingface/text-embeddings-inference\",\"custom_fields\":{\"api_key\":null,\"api_url\":null,\"model_name\":null,\"cache_folder\":null,\"encode_kwargs\":null,\"model_kwargs\":null,\"multi_process\":null},\"output_types\":[\"HuggingFaceInferenceAPIEmbeddings\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true}},\"documentloaders\":{\"AZLyricsLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"web_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"AZLyricsLoader\"},\"description\":\"Load `AZLyrics` webpages.\",\"base_classes\":[\"Document\"],\"display_name\":\"AZLyricsLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/azlyrics\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"AirbyteJSONLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".json\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"BSHTMLLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".html\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"BSHTMLLoader\"},\"description\":\"Load `HTML` files and parse them with `beautiful soup`.\",\"base_classes\":[\"Document\"],\"display_name\":\"BSHTMLLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/html\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"CSVLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".csv\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"CoNLLULoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".csv\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"CoNLLULoader\"},\"description\":\"Load `CoNLL-U` files.\",\"base_classes\":[\"Document\"],\"display_name\":\"CoNLLULoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/conll-u\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"CollegeConfidentialLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"web_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CollegeConfidentialLoader\"},\"description\":\"Load `College Confidential` webpages.\",\"base_classes\":[\"Document\"],\"display_name\":\"CollegeConfidentialLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/college_confidential\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"DirectoryLoader\":{\"template\":{\"glob\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"**/*.txt\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"glob\",\"display_name\":\"glob\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"load_hidden\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"False\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"load_hidden\",\"display_name\":\"Load hidden files\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"max_concurrency\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"max_concurrency\",\"display_name\":\"Max concurrency\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"path\",\"display_name\":\"Local directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"recursive\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"True\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"recursive\",\"display_name\":\"Recursive\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"silent_errors\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"False\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"silent_errors\",\"display_name\":\"Silent errors\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"use_multithreading\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"True\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"use_multithreading\",\"display_name\":\"Use multithreading\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"DirectoryLoader\"},\"description\":\"Load from a directory.\",\"base_classes\":[\"Document\"],\"display_name\":\"DirectoryLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/file_directory\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"EverNoteLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".xml\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"EverNoteLoader\"},\"description\":\"Load from `EverNote`.\",\"base_classes\":[\"Document\"],\"display_name\":\"EverNoteLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/evernote\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"FacebookChatLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".json\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"FacebookChatLoader\"},\"description\":\"Load `Facebook Chat` messages directory dump.\",\"base_classes\":[\"Document\"],\"display_name\":\"FacebookChatLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/facebook_chat\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"GitLoader\":{\"template\":{\"branch\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"branch\",\"display_name\":\"Branch\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"clone_url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"clone_url\",\"display_name\":\"Clone URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"file_filter\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"file_filter\",\"display_name\":\"File extensions (comma-separated)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"repo_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"repo_path\",\"display_name\":\"Path to repository\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"GitLoader\"},\"description\":\"Load `Git` repository files.\",\"base_classes\":[\"Document\"],\"display_name\":\"GitLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/git\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"GitbookLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"web_page\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"web_page\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"GitbookLoader\"},\"description\":\"Load `GitBook` data.\",\"base_classes\":[\"Document\"],\"display_name\":\"GitbookLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/gitbook\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"GutenbergLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"web_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"GutenbergLoader\"},\"description\":\"Load from `Gutenberg.org`.\",\"base_classes\":[\"Document\"],\"display_name\":\"GutenbergLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/gutenberg\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"HNLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"web_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"HNLoader\"},\"description\":\"Load `Hacker News` data.\",\"base_classes\":[\"Document\"],\"display_name\":\"HNLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/hacker_news\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"IFixitLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"web_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"IFixitLoader\"},\"description\":\"Load `iFixit` repair guides, device wikis and answers.\",\"base_classes\":[\"Document\"],\"display_name\":\"IFixitLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/ifixit\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"IMSDbLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"web_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"IMSDbLoader\"},\"description\":\"Load `IMSDb` webpages.\",\"base_classes\":[\"Document\"],\"display_name\":\"IMSDbLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/imsdb\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"NotionDirectoryLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"path\",\"display_name\":\"Local directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"NotionDirectoryLoader\"},\"description\":\"Load `Notion directory` dump.\",\"base_classes\":[\"Document\"],\"display_name\":\"NotionDirectoryLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/notion\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"PyPDFLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".pdf\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"PyPDFLoader\"},\"description\":\"Load PDF using pypdf into list of documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"PyPDFLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/pdf\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"PyPDFDirectoryLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"path\",\"display_name\":\"Local directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"PyPDFDirectoryLoader\"},\"description\":\"Load a directory with `PDF` files using `pypdf` and chunks at character level.\",\"base_classes\":[\"Document\"],\"display_name\":\"PyPDFDirectoryLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/pdf\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"ReadTheDocsLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"path\",\"display_name\":\"Local directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"ReadTheDocsLoader\"},\"description\":\"Load `ReadTheDocs` documentation directory.\",\"base_classes\":[\"Document\"],\"display_name\":\"ReadTheDocsLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/readthedocs_documentation\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"SRTLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".srt\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"SRTLoader\"},\"description\":\"Load `.srt` (subtitle) files.\",\"base_classes\":[\"Document\"],\"display_name\":\"SRTLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/subtitle\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"SlackDirectoryLoader\":{\"template\":{\"zip_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".zip\"],\"file_path\":\"\",\"password\":false,\"name\":\"zip_path\",\"display_name\":\"Path to zip file\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"workspace_url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"workspace_url\",\"display_name\":\"Workspace URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"SlackDirectoryLoader\"},\"description\":\"Load from a `Slack` directory dump.\",\"base_classes\":[\"Document\"],\"display_name\":\"SlackDirectoryLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/slack\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"TextLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".txt\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"TextLoader\"},\"description\":\"Load text file.\",\"base_classes\":[\"Document\"],\"display_name\":\"TextLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"UnstructuredEmailLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".eml\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"UnstructuredEmailLoader\"},\"description\":\"Load email files using `Unstructured`.\",\"base_classes\":[\"Document\"],\"display_name\":\"UnstructuredEmailLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/email\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"UnstructuredHTMLLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".html\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"UnstructuredHTMLLoader\"},\"description\":\"Load `HTML` files using `Unstructured`.\",\"base_classes\":[\"Document\"],\"display_name\":\"UnstructuredHTMLLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/html\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"UnstructuredMarkdownLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".md\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"UnstructuredMarkdownLoader\"},\"description\":\"Load `Markdown` files using `Unstructured`.\",\"base_classes\":[\"Document\"],\"display_name\":\"UnstructuredMarkdownLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/markdown\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"UnstructuredPowerPointLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".pptx\",\".ppt\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"UnstructuredPowerPointLoader\"},\"description\":\"Load `Microsoft PowerPoint` files using `Unstructured`.\",\"base_classes\":[\"Document\"],\"display_name\":\"UnstructuredPowerPointLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/microsoft_powerpoint\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"UnstructuredWordDocumentLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".docx\",\".doc\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"UnstructuredWordDocumentLoader\"},\"description\":\"Load `Microsoft Word` file using `Unstructured`.\",\"base_classes\":[\"Document\"],\"display_name\":\"UnstructuredWordDocumentLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/microsoft_word\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"WebBaseLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"web_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"WebBaseLoader\"},\"description\":\"Load HTML pages using `urllib` and parse them with `BeautifulSoup'.\",\"base_classes\":[\"Document\"],\"display_name\":\"WebBaseLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/web_base\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"FileLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[\".json\",\".txt\",\".csv\",\".jsonl\",\".html\",\".htm\",\".conllu\",\".enex\",\".msg\",\".pdf\",\".srt\",\".eml\",\".md\",\".mdx\",\".pptx\",\".docx\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"display_name\":\"File Path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langchain_core.documents import Document\\n\\nfrom langflow import CustomComponent\\nfrom langflow.utils.constants import LOADERS_INFO\\n\\n\\nclass FileLoaderComponent(CustomComponent):\\n    display_name: str = \\\"File Loader\\\"\\n    description: str = \\\"Generic File Loader\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        loader_options = [\\\"Automatic\\\"] + [loader_info[\\\"name\\\"] for loader_info in LOADERS_INFO]\\n\\n        file_types = []\\n        suffixes = []\\n\\n        for loader_info in LOADERS_INFO:\\n            if \\\"allowedTypes\\\" in loader_info:\\n                file_types.extend(loader_info[\\\"allowedTypes\\\"])\\n                suffixes.extend([f\\\".{ext}\\\" for ext in loader_info[\\\"allowedTypes\\\"]])\\n\\n        return {\\n            \\\"file_path\\\": {\\n                \\\"display_name\\\": \\\"File Path\\\",\\n                \\\"required\\\": True,\\n                \\\"field_type\\\": \\\"file\\\",\\n                \\\"file_types\\\": [\\n                    \\\"json\\\",\\n                    \\\"txt\\\",\\n                    \\\"csv\\\",\\n                    \\\"jsonl\\\",\\n                    \\\"html\\\",\\n                    \\\"htm\\\",\\n                    \\\"conllu\\\",\\n                    \\\"enex\\\",\\n                    \\\"msg\\\",\\n                    \\\"pdf\\\",\\n                    \\\"srt\\\",\\n                    \\\"eml\\\",\\n                    \\\"md\\\",\\n                    \\\"mdx\\\",\\n                    \\\"pptx\\\",\\n                    \\\"docx\\\",\\n                ],\\n                \\\"suffixes\\\": [\\n                    \\\".json\\\",\\n                    \\\".txt\\\",\\n                    \\\".csv\\\",\\n                    \\\".jsonl\\\",\\n                    \\\".html\\\",\\n                    \\\".htm\\\",\\n                    \\\".conllu\\\",\\n                    \\\".enex\\\",\\n                    \\\".msg\\\",\\n                    \\\".pdf\\\",\\n                    \\\".srt\\\",\\n                    \\\".eml\\\",\\n                    \\\".md\\\",\\n                    \\\".mdx\\\",\\n                    \\\".pptx\\\",\\n                    \\\".docx\\\",\\n                ],\\n                # \\\"file_types\\\" : file_types,\\n                # \\\"suffixes\\\": suffixes,\\n            },\\n            \\\"loader\\\": {\\n                \\\"display_name\\\": \\\"Loader\\\",\\n                \\\"is_list\\\": True,\\n                \\\"required\\\": True,\\n                \\\"options\\\": loader_options,\\n                \\\"value\\\": \\\"Automatic\\\",\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(self, file_path: str, loader: str) -> Document:\\n        file_type = file_path.split(\\\".\\\")[-1]\\n\\n        # Map the loader to the correct loader class\\n        selected_loader_info = None\\n        for loader_info in LOADERS_INFO:\\n            if loader_info[\\\"name\\\"] == loader:\\n                selected_loader_info = loader_info\\n                break\\n\\n        if selected_loader_info is None and loader != \\\"Automatic\\\":\\n            raise ValueError(f\\\"Loader {loader} not found in the loader info list\\\")\\n\\n        if loader == \\\"Automatic\\\":\\n            # Determine the loader based on the file type\\n            default_loader_info = None\\n            for info in LOADERS_INFO:\\n                if \\\"defaultFor\\\" in info and file_type in info[\\\"defaultFor\\\"]:\\n                    default_loader_info = info\\n                    break\\n\\n            if default_loader_info is None:\\n                raise ValueError(f\\\"No default loader found for file type: {file_type}\\\")\\n\\n            selected_loader_info = default_loader_info\\n        if isinstance(selected_loader_info, dict):\\n            loader_import: str = selected_loader_info[\\\"import\\\"]\\n        else:\\n            raise ValueError(f\\\"Loader info for {loader} is not a dict\\\\nLoader info:\\\\n{selected_loader_info}\\\")\\n        module_name, class_name = loader_import.rsplit(\\\".\\\", 1)\\n\\n        try:\\n            # Import the loader class\\n            loader_module = __import__(module_name, fromlist=[class_name])\\n            loader_instance = getattr(loader_module, class_name)\\n        except ImportError as e:\\n            raise ValueError(f\\\"Loader {loader} could not be imported\\\\nLoader info:\\\\n{selected_loader_info}\\\") from e\\n\\n        result = loader_instance(file_path=file_path)\\n        return result.load()\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"loader\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"Automatic\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"Automatic\",\"Airbyte JSON (.jsonl)\",\"JSON (.json)\",\"BeautifulSoup4 HTML (.html, .htm)\",\"CSV (.csv)\",\"CoNLL-U (.conllu)\",\"EverNote (.enex)\",\"Facebook Chat (.json)\",\"Outlook Message (.msg)\",\"PyPDF (.pdf)\",\"Subtitle (.str)\",\"Text (.txt)\",\"Unstructured Email (.eml)\",\"Unstructured HTML (.html, .htm)\",\"Unstructured Markdown (.md)\",\"Unstructured PowerPoint (.pptx)\",\"Unstructured Word (.docx)\"],\"name\":\"loader\",\"display_name\":\"Loader\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"description\":\"Generic File Loader\",\"base_classes\":[\"Serializable\",\"Document\"],\"display_name\":\"File Loader\",\"documentation\":\"\",\"custom_fields\":{\"file_path\":null,\"loader\":null},\"output_types\":[\"Document\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"UrlLoader\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import List\\n\\nfrom langchain import document_loaders\\nfrom langchain_core.documents import Document\\n\\nfrom langflow import CustomComponent\\n\\n\\nclass UrlLoaderComponent(CustomComponent):\\n    display_name: str = \\\"Url Loader\\\"\\n    description: str = \\\"Generic Url Loader Component\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"web_path\\\": {\\n                \\\"display_name\\\": \\\"Url\\\",\\n                \\\"required\\\": True,\\n            },\\n            \\\"loader\\\": {\\n                \\\"display_name\\\": \\\"Loader\\\",\\n                \\\"is_list\\\": True,\\n                \\\"required\\\": True,\\n                \\\"options\\\": [\\n                    \\\"AZLyricsLoader\\\",\\n                    \\\"CollegeConfidentialLoader\\\",\\n                    \\\"GitbookLoader\\\",\\n                    \\\"HNLoader\\\",\\n                    \\\"IFixitLoader\\\",\\n                    \\\"IMSDbLoader\\\",\\n                    \\\"WebBaseLoader\\\",\\n                ],\\n                \\\"value\\\": \\\"WebBaseLoader\\\",\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(self, web_path: str, loader: str) -> List[Document]:\\n        try:\\n            loader_instance = getattr(document_loaders, loader)(web_path=web_path)\\n        except Exception as e:\\n            raise ValueError(f\\\"No loader found for: {web_path}\\\") from e\\n        docs = loader_instance.load()\\n        avg_length = sum(len(doc.page_content) for doc in docs if hasattr(doc, \\\"page_content\\\")) / len(docs)\\n        self.status = f\\\"\\\"\\\"{len(docs)} documents)\\n        \\\\nAvg. Document Length (characters): {int(avg_length)}\\n        Documents: {docs[:3]}...\\\"\\\"\\\"\\n        return docs\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"loader\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"WebBaseLoader\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"AZLyricsLoader\",\"CollegeConfidentialLoader\",\"GitbookLoader\",\"HNLoader\",\"IFixitLoader\",\"IMSDbLoader\",\"WebBaseLoader\"],\"name\":\"loader\",\"display_name\":\"Loader\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"web_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"description\":\"Generic Url Loader Component\",\"base_classes\":[\"Serializable\",\"Document\"],\"display_name\":\"Url Loader\",\"documentation\":\"\",\"custom_fields\":{\"web_path\":null,\"loader\":null},\"output_types\":[\"Document\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"GatherRecords\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from concurrent import futures\\nfrom pathlib import Path\\nfrom typing import Any, Dict, List\\n\\nfrom langflow import CustomComponent\\nfrom langflow.schema import Record\\n\\n\\nclass GatherRecordsComponent(CustomComponent):\\n    display_name = \\\"Gather Records\\\"\\n    description = \\\"Gather records from a directory.\\\"\\n\\n    def build_config(self) -> Dict[str, Any]:\\n        return {\\n            \\\"load_hidden\\\": {\\n                \\\"display_name\\\": \\\"Load Hidden Files\\\",\\n                \\\"value\\\": False,\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"max_concurrency\\\": {\\n                \\\"display_name\\\": \\\"Max Concurrency\\\",\\n                \\\"value\\\": 10,\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"path\\\": {\\\"display_name\\\": \\\"Local Directory\\\"},\\n            \\\"recursive\\\": {\\\"display_name\\\": \\\"Recursive\\\", \\\"value\\\": True, \\\"advanced\\\": True},\\n            \\\"use_multithreading\\\": {\\n                \\\"display_name\\\": \\\"Use Multithreading\\\",\\n                \\\"value\\\": True,\\n                \\\"advanced\\\": True,\\n            },\\n        }\\n\\n    def is_hidden(self, path: Path) -> bool:\\n        return path.name.startswith(\\\".\\\")\\n\\n    def retrieve_file_paths(\\n        self,\\n        path: str,\\n        types: List[str],\\n        load_hidden: bool,\\n        recursive: bool,\\n        depth: int,\\n    ) -> List[str]:\\n        path_obj = Path(path)\\n        if not path_obj.exists() or not path_obj.is_dir():\\n            raise ValueError(f\\\"Path {path} must exist and be a directory.\\\")\\n\\n        def match_types(p: Path) -> bool:\\n            return any(p.suffix == f\\\".{t}\\\" for t in types) if types else True\\n\\n        def is_not_hidden(p: Path) -> bool:\\n            return not self.is_hidden(p) or load_hidden\\n\\n        def walk_level(directory: Path, max_depth: int):\\n            directory = directory.resolve()\\n            prefix_length = len(directory.parts)\\n            for p in directory.rglob(\\\"*\\\" if recursive else \\\"[!.]*\\\"):\\n                if len(p.parts) - prefix_length <= max_depth:\\n                    yield p\\n\\n        glob = \\\"**/*\\\" if recursive else \\\"*\\\"\\n        paths = walk_level(path_obj, depth) if depth else path_obj.glob(glob)\\n        file_paths = [str(p) for p in paths if p.is_file() and match_types(p) and is_not_hidden(p)]\\n\\n        return file_paths\\n\\n    def parse_file_to_record(self, file_path: str, silent_errors: bool) -> Record:\\n        # Use the partition function to load the file\\n        from unstructured.partition.auto import partition\\n\\n        try:\\n            elements = partition(file_path)\\n        except Exception as e:\\n            if not silent_errors:\\n                raise ValueError(f\\\"Error loading file {file_path}: {e}\\\") from e\\n            return None\\n\\n        # Create a Record\\n        text = \\\"\\\\n\\\\n\\\".join([str(el) for el in elements])\\n        metadata = elements.metadata if hasattr(elements, \\\"metadata\\\") else {}\\n        metadata[\\\"file_path\\\"] = file_path\\n        record = Record(text=text, data=metadata)\\n        return record\\n\\n    def get_elements(\\n        self,\\n        file_paths: List[str],\\n        silent_errors: bool,\\n        max_concurrency: int,\\n        use_multithreading: bool,\\n    ) -> List[Record]:\\n        if use_multithreading:\\n            records = self.parallel_load_records(file_paths, silent_errors, max_concurrency)\\n        else:\\n            records = [self.parse_file_to_record(file_path, silent_errors) for file_path in file_paths]\\n        records = list(filter(None, records))\\n        return records\\n\\n    def parallel_load_records(self, file_paths: List[str], silent_errors: bool, max_concurrency: int) -> List[Record]:\\n        with futures.ThreadPoolExecutor(max_workers=max_concurrency) as executor:\\n            loaded_files = executor.map(\\n                lambda file_path: self.parse_file_to_record(file_path, silent_errors),\\n                file_paths,\\n            )\\n        return loaded_files\\n\\n    def build(\\n        self,\\n        path: str,\\n        types: List[str] = None,\\n        depth: int = 0,\\n        max_concurrency: int = 2,\\n        load_hidden: bool = False,\\n        recursive: bool = True,\\n        silent_errors: bool = False,\\n        use_multithreading: bool = True,\\n    ) -> List[Record]:\\n        resolved_path = self.resolve_path(path)\\n        file_paths = self.retrieve_file_paths(resolved_path, types, load_hidden, recursive, depth)\\n        loaded_records = []\\n\\n        if use_multithreading:\\n            loaded_records = self.parallel_load_records(file_paths, silent_errors, max_concurrency)\\n        else:\\n            loaded_records = [self.parse_file_to_record(file_path, silent_errors) for file_path in file_paths]\\n        loaded_records = list(filter(None, loaded_records))\\n        self.status = loaded_records\\n        return loaded_records\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"depth\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"depth\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"load_hidden\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"load_hidden\",\"display_name\":\"Load Hidden Files\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"max_concurrency\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"max_concurrency\",\"display_name\":\"Max Concurrency\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"path\",\"display_name\":\"Local Directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"recursive\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"recursive\",\"display_name\":\"Recursive\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"silent_errors\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"silent_errors\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"types\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"types\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"use_multithreading\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"use_multithreading\",\"display_name\":\"Use Multithreading\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Gather records from a directory.\",\"base_classes\":[\"Record\"],\"display_name\":\"Gather Records\",\"documentation\":\"\",\"custom_fields\":{\"path\":null,\"types\":null,\"depth\":null,\"max_concurrency\":null,\"load_hidden\":null,\"recursive\":null,\"silent_errors\":null,\"use_multithreading\":null},\"output_types\":[\"Record\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true}},\"textsplitters\":{\"CharacterTextSplitter\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"chunk_overlap\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":200,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chunk_overlap\",\"display_name\":\"Chunk Overlap\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"chunk_size\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1000,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chunk_size\",\"display_name\":\"Chunk Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import List\\n\\nfrom langchain.text_splitter import CharacterTextSplitter\\nfrom langchain_core.documents.base import Document\\nfrom langflow import CustomComponent\\n\\n\\nclass CharacterTextSplitterComponent(CustomComponent):\\n    display_name = \\\"CharacterTextSplitter\\\"\\n    description = \\\"Splitting text that looks at characters.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"documents\\\": {\\\"display_name\\\": \\\"Documents\\\"},\\n            \\\"chunk_overlap\\\": {\\\"display_name\\\": \\\"Chunk Overlap\\\", \\\"default\\\": 200},\\n            \\\"chunk_size\\\": {\\\"display_name\\\": \\\"Chunk Size\\\", \\\"default\\\": 1000},\\n            \\\"separator\\\": {\\\"display_name\\\": \\\"Separator\\\", \\\"default\\\": \\\"\\\\n\\\"},\\n        }\\n\\n    def build(\\n        self,\\n        documents: List[Document],\\n        chunk_overlap: int = 200,\\n        chunk_size: int = 1000,\\n        separator: str = \\\"\\\\n\\\",\\n    ) -> List[Document]:\\n        # separator may come escaped from the frontend\\n        separator = separator.encode().decode(\\\"unicode_escape\\\")\\n        docs = CharacterTextSplitter(\\n            chunk_overlap=chunk_overlap,\\n            chunk_size=chunk_size,\\n            separator=separator,\\n        ).split_documents(documents)\\n        self.status = docs\\n        return docs\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"separator\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\\\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"separator\",\"display_name\":\"Separator\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"description\":\"Splitting text that looks at characters.\",\"base_classes\":[\"Serializable\",\"Document\"],\"display_name\":\"CharacterTextSplitter\",\"documentation\":\"\",\"custom_fields\":{\"documents\":null,\"chunk_overlap\":null,\"chunk_size\":null,\"separator\":null},\"output_types\":[\"Document\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"RecursiveCharacterTextSplitter\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"The documents to split.\",\"title_case\":false},\"chunk_overlap\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":200,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chunk_overlap\",\"display_name\":\"Chunk Overlap\",\"advanced\":false,\"dynamic\":false,\"info\":\"The amount of overlap between chunks.\",\"title_case\":false},\"chunk_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1000,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chunk_size\",\"display_name\":\"Chunk Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"The maximum length of each chunk.\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain_core.documents import Document\\n\\nfrom langflow import CustomComponent\\nfrom langflow.utils.util import build_loader_repr_from_documents\\nfrom langchain.text_splitter import RecursiveCharacterTextSplitter\\n\\n\\nclass RecursiveCharacterTextSplitterComponent(CustomComponent):\\n    display_name: str = \\\"Recursive Character Text Splitter\\\"\\n    description: str = \\\"Split text into chunks of a specified length.\\\"\\n    documentation: str = \\\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"documents\\\": {\\n                \\\"display_name\\\": \\\"Documents\\\",\\n                \\\"info\\\": \\\"The documents to split.\\\",\\n            },\\n            \\\"separators\\\": {\\n                \\\"display_name\\\": \\\"Separators\\\",\\n                \\\"info\\\": 'The characters to split on.\\\\nIf left empty defaults to [\\\"\\\\\\\\n\\\\\\\\n\\\", \\\"\\\\\\\\n\\\", \\\" \\\", \\\"\\\"].',\\n                \\\"is_list\\\": True,\\n            },\\n            \\\"chunk_size\\\": {\\n                \\\"display_name\\\": \\\"Chunk Size\\\",\\n                \\\"info\\\": \\\"The maximum length of each chunk.\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 1000,\\n            },\\n            \\\"chunk_overlap\\\": {\\n                \\\"display_name\\\": \\\"Chunk Overlap\\\",\\n                \\\"info\\\": \\\"The amount of overlap between chunks.\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 200,\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        documents: list[Document],\\n        separators: Optional[list[str]] = None,\\n        chunk_size: Optional[int] = 1000,\\n        chunk_overlap: Optional[int] = 200,\\n    ) -> list[Document]:\\n        \\\"\\\"\\\"\\n        Split text into chunks of a specified length.\\n\\n        Args:\\n            separators (list[str]): The characters to split on.\\n            chunk_size (int): The maximum length of each chunk.\\n            chunk_overlap (int): The amount of overlap between chunks.\\n            length_function (function): The function to use to calculate the length of the text.\\n\\n        Returns:\\n            list[str]: The chunks of text.\\n        \\\"\\\"\\\"\\n\\n        if separators == \\\"\\\":\\n            separators = None\\n        elif separators:\\n            # check if the separators list has escaped characters\\n            # if there are escaped characters, unescape them\\n            separators = [x.encode().decode(\\\"unicode-escape\\\") for x in separators]\\n\\n        # Make sure chunk_size and chunk_overlap are ints\\n        if isinstance(chunk_size, str):\\n            chunk_size = int(chunk_size)\\n        if isinstance(chunk_overlap, str):\\n            chunk_overlap = int(chunk_overlap)\\n        splitter = RecursiveCharacterTextSplitter(\\n            separators=separators,\\n            chunk_size=chunk_size,\\n            chunk_overlap=chunk_overlap,\\n        )\\n\\n        docs = splitter.split_documents(documents)\\n        self.repr_value = build_loader_repr_from_documents(docs)\\n        return docs\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"separators\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"separators\",\"display_name\":\"Separators\",\"advanced\":false,\"dynamic\":false,\"info\":\"The characters to split on.\\nIf left empty defaults to [\\\"\\\\n\\\\n\\\", \\\"\\\\n\\\", \\\" \\\", \\\"\\\"].\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"description\":\"Split text into chunks of a specified length.\",\"base_classes\":[\"Serializable\",\"Document\"],\"display_name\":\"Recursive Character Text Splitter\",\"documentation\":\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\",\"custom_fields\":{\"documents\":null,\"separators\":null,\"chunk_size\":null,\"chunk_overlap\":null},\"output_types\":[\"Document\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"LanguageRecursiveTextSplitter\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"The documents to split.\",\"title_case\":false},\"chunk_overlap\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":200,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chunk_overlap\",\"display_name\":\"Chunk Overlap\",\"advanced\":false,\"dynamic\":false,\"info\":\"The amount of overlap between chunks.\",\"title_case\":false},\"chunk_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1000,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chunk_size\",\"display_name\":\"Chunk Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"The maximum length of each chunk.\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.text_splitter import Language\\nfrom langchain_core.documents import Document\\n\\nfrom langflow import CustomComponent\\n\\n\\nclass LanguageRecursiveTextSplitterComponent(CustomComponent):\\n    display_name: str = \\\"Language Recursive Text Splitter\\\"\\n    description: str = \\\"Split text into chunks of a specified length based on language.\\\"\\n    documentation: str = \\\"https://docs.langflow.org/components/text-splitters#languagerecursivetextsplitter\\\"\\n\\n    def build_config(self):\\n        options = [x.value for x in Language]\\n        return {\\n            \\\"documents\\\": {\\n                \\\"display_name\\\": \\\"Documents\\\",\\n                \\\"info\\\": \\\"The documents to split.\\\",\\n            },\\n            \\\"separator_type\\\": {\\n                \\\"display_name\\\": \\\"Separator Type\\\",\\n                \\\"info\\\": \\\"The type of separator to use.\\\",\\n                \\\"field_type\\\": \\\"str\\\",\\n                \\\"options\\\": options,\\n                \\\"value\\\": \\\"Python\\\",\\n            },\\n            \\\"separators\\\": {\\n                \\\"display_name\\\": \\\"Separators\\\",\\n                \\\"info\\\": \\\"The characters to split on.\\\",\\n                \\\"is_list\\\": True,\\n            },\\n            \\\"chunk_size\\\": {\\n                \\\"display_name\\\": \\\"Chunk Size\\\",\\n                \\\"info\\\": \\\"The maximum length of each chunk.\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 1000,\\n            },\\n            \\\"chunk_overlap\\\": {\\n                \\\"display_name\\\": \\\"Chunk Overlap\\\",\\n                \\\"info\\\": \\\"The amount of overlap between chunks.\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 200,\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        documents: list[Document],\\n        chunk_size: Optional[int] = 1000,\\n        chunk_overlap: Optional[int] = 200,\\n        separator_type: str = \\\"Python\\\",\\n    ) -> list[Document]:\\n        \\\"\\\"\\\"\\n        Split text into chunks of a specified length.\\n\\n        Args:\\n            separators (list[str]): The characters to split on.\\n            chunk_size (int): The maximum length of each chunk.\\n            chunk_overlap (int): The amount of overlap between chunks.\\n            length_function (function): The function to use to calculate the length of the text.\\n\\n        Returns:\\n            list[str]: The chunks of text.\\n        \\\"\\\"\\\"\\n        from langchain.text_splitter import RecursiveCharacterTextSplitter\\n\\n        # Make sure chunk_size and chunk_overlap are ints\\n        if isinstance(chunk_size, str):\\n            chunk_size = int(chunk_size)\\n        if isinstance(chunk_overlap, str):\\n            chunk_overlap = int(chunk_overlap)\\n\\n        splitter = RecursiveCharacterTextSplitter.from_language(\\n            language=Language(separator_type),\\n            chunk_size=chunk_size,\\n            chunk_overlap=chunk_overlap,\\n        )\\n\\n        docs = splitter.split_documents(documents)\\n        return docs\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"separator_type\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"Python\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"cpp\",\"go\",\"java\",\"kotlin\",\"js\",\"ts\",\"php\",\"proto\",\"python\",\"rst\",\"ruby\",\"rust\",\"scala\",\"swift\",\"markdown\",\"latex\",\"html\",\"sol\",\"csharp\",\"cobol\",\"c\",\"lua\",\"perl\"],\"name\":\"separator_type\",\"display_name\":\"Separator Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"The type of separator to use.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"description\":\"Split text into chunks of a specified length based on language.\",\"base_classes\":[\"Serializable\",\"Document\"],\"display_name\":\"Language Recursive Text Splitter\",\"documentation\":\"https://docs.langflow.org/components/text-splitters#languagerecursivetextsplitter\",\"custom_fields\":{\"documents\":null,\"chunk_size\":null,\"chunk_overlap\":null,\"separator_type\":null},\"output_types\":[\"Document\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true}},\"utilities\":{\"BingSearchAPIWrapper\":{\"template\":{\"bing_search_url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"bing_search_url\",\"display_name\":\"Bing Search URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"bing_subscription_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"bing_subscription_key\",\"display_name\":\"Bing Subscription Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\n# Assuming `BingSearchAPIWrapper` is a class that exists in the context\\n# and has the appropriate methods and attributes.\\n# We need to make sure this class is importable from the context where this code will be running.\\nfrom langchain_community.utilities.bing_search import BingSearchAPIWrapper\\n\\n\\nclass BingSearchAPIWrapperComponent(CustomComponent):\\n    display_name = \\\"BingSearchAPIWrapper\\\"\\n    description = \\\"Wrapper for Bing Search API.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"bing_search_url\\\": {\\\"display_name\\\": \\\"Bing Search URL\\\"},\\n            \\\"bing_subscription_key\\\": {\\n                \\\"display_name\\\": \\\"Bing Subscription Key\\\",\\n                \\\"password\\\": True,\\n            },\\n            \\\"k\\\": {\\\"display_name\\\": \\\"Number of results\\\", \\\"advanced\\\": True},\\n            # 'k' is not included as it is not shown (show=False)\\n        }\\n\\n    def build(\\n        self,\\n        bing_search_url: str,\\n        bing_subscription_key: str,\\n        k: int = 10,\\n    ) -> BingSearchAPIWrapper:\\n        # 'k' has a default value and is not shown (show=False), so it is hardcoded here\\n        return BingSearchAPIWrapper(bing_search_url=bing_search_url, bing_subscription_key=bing_subscription_key, k=k)\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"k\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"k\",\"display_name\":\"Number of results\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Wrapper for Bing Search API.\",\"base_classes\":[\"BingSearchAPIWrapper\"],\"display_name\":\"BingSearchAPIWrapper\",\"documentation\":\"\",\"custom_fields\":{\"bing_search_url\":null,\"bing_subscription_key\":null,\"k\":null},\"output_types\":[\"BingSearchAPIWrapper\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"GoogleSearchAPIWrapper\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, Union\\n\\nfrom langchain_community.utilities.google_search import GoogleSearchAPIWrapper\\nfrom langflow import CustomComponent\\n\\n\\nclass GoogleSearchAPIWrapperComponent(CustomComponent):\\n    display_name = \\\"GoogleSearchAPIWrapper\\\"\\n    description = \\\"Wrapper for Google Search API.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"google_api_key\\\": {\\\"display_name\\\": \\\"Google API Key\\\", \\\"password\\\": True},\\n            \\\"google_cse_id\\\": {\\\"display_name\\\": \\\"Google CSE ID\\\", \\\"password\\\": True},\\n        }\\n\\n    def build(\\n        self,\\n        google_api_key: str,\\n        google_cse_id: str,\\n    ) -> Union[GoogleSearchAPIWrapper, Callable]:\\n        return GoogleSearchAPIWrapper(google_api_key=google_api_key, google_cse_id=google_cse_id)  # type: ignore\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"google_api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"google_api_key\",\"display_name\":\"Google API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"google_cse_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"google_cse_id\",\"display_name\":\"Google CSE ID\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"description\":\"Wrapper for Google Search API.\",\"base_classes\":[\"GoogleSearchAPIWrapper\",\"Callable\"],\"display_name\":\"GoogleSearchAPIWrapper\",\"documentation\":\"\",\"custom_fields\":{\"google_api_key\":null,\"google_cse_id\":null},\"output_types\":[\"GoogleSearchAPIWrapper\",\"Callable\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"GoogleSerperAPIWrapper\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Dict\\n\\n# Assuming the existence of GoogleSerperAPIWrapper class in the serper module\\n# If this class does not exist, you would need to create it or import the appropriate class from another module\\nfrom langchain_community.utilities.google_serper import GoogleSerperAPIWrapper\\n\\nfrom langflow import CustomComponent\\n\\n\\nclass GoogleSerperAPIWrapperComponent(CustomComponent):\\n    display_name = \\\"GoogleSerperAPIWrapper\\\"\\n    description = \\\"Wrapper around the Serper.dev Google Search API.\\\"\\n\\n    def build_config(self) -> Dict[str, Dict]:\\n        return {\\n            \\\"result_key_for_type\\\": {\\n                \\\"display_name\\\": \\\"Result Key for Type\\\",\\n                \\\"show\\\": True,\\n                \\\"multiline\\\": False,\\n                \\\"password\\\": False,\\n                \\\"advanced\\\": False,\\n                \\\"dynamic\\\": False,\\n                \\\"info\\\": \\\"\\\",\\n                \\\"field_type\\\": \\\"dict\\\",\\n                \\\"list\\\": False,\\n                \\\"value\\\": {\\n                    \\\"news\\\": \\\"news\\\",\\n                    \\\"places\\\": \\\"places\\\",\\n                    \\\"images\\\": \\\"images\\\",\\n                    \\\"search\\\": \\\"organic\\\",\\n                },\\n            },\\n            \\\"serper_api_key\\\": {\\n                \\\"display_name\\\": \\\"Serper API Key\\\",\\n                \\\"show\\\": True,\\n                \\\"multiline\\\": False,\\n                \\\"password\\\": True,\\n                \\\"advanced\\\": False,\\n                \\\"dynamic\\\": False,\\n                \\\"info\\\": \\\"\\\",\\n                \\\"type\\\": \\\"str\\\",\\n                \\\"list\\\": False,\\n            },\\n        }\\n\\n    def build(\\n        self,\\n        serper_api_key: str,\\n    ) -> GoogleSerperAPIWrapper:\\n        return GoogleSerperAPIWrapper(serper_api_key=serper_api_key)\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"serper_api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"serper_api_key\",\"display_name\":\"Serper API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"description\":\"Wrapper around the Serper.dev Google Search API.\",\"base_classes\":[\"GoogleSerperAPIWrapper\"],\"display_name\":\"GoogleSerperAPIWrapper\",\"documentation\":\"\",\"custom_fields\":{\"serper_api_key\":null},\"output_types\":[\"GoogleSerperAPIWrapper\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"SearxSearchWrapper\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import Optional, Dict\\nfrom langchain_community.utilities.searx_search import SearxSearchWrapper\\n\\n\\nclass SearxSearchWrapperComponent(CustomComponent):\\n    display_name = \\\"SearxSearchWrapper\\\"\\n    description = \\\"Wrapper for Searx API.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"headers\\\": {\\n                \\\"field_type\\\": \\\"dict\\\",\\n                \\\"display_name\\\": \\\"Headers\\\",\\n                \\\"multiline\\\": True,\\n                \\\"value\\\": '{\\\"Authorization\\\": \\\"Bearer <token>\\\"}',\\n            },\\n            \\\"k\\\": {\\\"display_name\\\": \\\"k\\\", \\\"advanced\\\": True, \\\"field_type\\\": \\\"int\\\", \\\"value\\\": 10},\\n            \\\"searx_host\\\": {\\n                \\\"display_name\\\": \\\"Searx Host\\\",\\n                \\\"field_type\\\": \\\"str\\\",\\n                \\\"value\\\": \\\"https://searx.example.com\\\",\\n                \\\"advanced\\\": True,\\n            },\\n        }\\n\\n    def build(\\n        self,\\n        k: int = 10,\\n        headers: Optional[Dict[str, str]] = None,\\n        searx_host: str = \\\"https://searx.example.com\\\",\\n    ) -> SearxSearchWrapper:\\n        return SearxSearchWrapper(headers=headers, k=k, searx_host=searx_host)\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"headers\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"headers\",\"display_name\":\"Headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"k\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"k\",\"display_name\":\"k\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"searx_host\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"https://searx.example.com\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"searx_host\",\"display_name\":\"Searx Host\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"description\":\"Wrapper for Searx API.\",\"base_classes\":[\"SearxSearchWrapper\"],\"display_name\":\"SearxSearchWrapper\",\"documentation\":\"\",\"custom_fields\":{\"k\":null,\"headers\":null,\"searx_host\":null},\"output_types\":[\"SearxSearchWrapper\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"SerpAPIWrapper\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, Union\\n\\nfrom langchain_community.utilities.serpapi import SerpAPIWrapper\\nfrom langflow import CustomComponent\\n\\n\\nclass SerpAPIWrapperComponent(CustomComponent):\\n    display_name = \\\"SerpAPIWrapper\\\"\\n    description = \\\"Wrapper around SerpAPI\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"serpapi_api_key\\\": {\\\"display_name\\\": \\\"SerpAPI API Key\\\", \\\"type\\\": \\\"str\\\", \\\"password\\\": True},\\n            \\\"params\\\": {\\n                \\\"display_name\\\": \\\"Parameters\\\",\\n                \\\"type\\\": \\\"dict\\\",\\n                \\\"advanced\\\": True,\\n                \\\"multiline\\\": True,\\n                \\\"value\\\": '{\\\"engine\\\": \\\"google\\\",\\\"google_domain\\\": \\\"google.com\\\",\\\"gl\\\": \\\"us\\\",\\\"hl\\\": \\\"en\\\"}',\\n            },\\n        }\\n\\n    def build(\\n        self,\\n        serpapi_api_key: str,\\n        params: dict,\\n    ) -> Union[SerpAPIWrapper, Callable]:  # Removed quotes around SerpAPIWrapper\\n        return SerpAPIWrapper(  # type: ignore\\n            serpapi_api_key=serpapi_api_key,\\n            params=params,\\n        )\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"params\":{\"type\":\"dict\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"{\\\"engine\\\": \\\"google\\\",\\\"google_domain\\\": \\\"google.com\\\",\\\"gl\\\": \\\"us\\\",\\\"hl\\\": \\\"en\\\"}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"params\",\"display_name\":\"Parameters\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"serpapi_api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"serpapi_api_key\",\"display_name\":\"SerpAPI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"description\":\"Wrapper around SerpAPI\",\"base_classes\":[\"Callable\",\"SerpAPIWrapper\"],\"display_name\":\"SerpAPIWrapper\",\"documentation\":\"\",\"custom_fields\":{\"serpapi_api_key\":null,\"params\":null},\"output_types\":[\"SerpAPIWrapper\",\"Callable\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"WikipediaAPIWrapper\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, Union\\n\\nfrom langchain_community.utilities.wikipedia import WikipediaAPIWrapper\\nfrom langflow import CustomComponent\\n\\n# Assuming WikipediaAPIWrapper is a class that needs to be imported.\\n# The import statement is not included as it is not provided in the JSON\\n# and the actual implementation details are unknown.\\n\\n\\nclass WikipediaAPIWrapperComponent(CustomComponent):\\n    display_name = \\\"WikipediaAPIWrapper\\\"\\n    description = \\\"Wrapper around WikipediaAPI.\\\"\\n\\n    def build_config(self):\\n        return {}\\n\\n    def build(\\n        self,\\n        top_k_results: int = 3,\\n        lang: str = \\\"en\\\",\\n        load_all_available_meta: bool = False,\\n        doc_content_chars_max: int = 4000,\\n    ) -> Union[WikipediaAPIWrapper, Callable]:\\n        return WikipediaAPIWrapper(  # type: ignore\\n            top_k_results=top_k_results,\\n            lang=lang,\\n            load_all_available_meta=load_all_available_meta,\\n            doc_content_chars_max=doc_content_chars_max,\\n        )\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"doc_content_chars_max\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":4000,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"doc_content_chars_max\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"lang\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"en\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"lang\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"load_all_available_meta\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"load_all_available_meta\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"top_k_results\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":3,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_k_results\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Wrapper around WikipediaAPI.\",\"base_classes\":[\"WikipediaAPIWrapper\",\"Callable\"],\"display_name\":\"WikipediaAPIWrapper\",\"documentation\":\"\",\"custom_fields\":{\"top_k_results\":null,\"lang\":null,\"load_all_available_meta\":null,\"doc_content_chars_max\":null},\"output_types\":[\"WikipediaAPIWrapper\",\"Callable\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"WolframAlphaAPIWrapper\":{\"template\":{\"appid\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"appid\",\"display_name\":\"App ID\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, Union\\n\\nfrom langchain_community.utilities.wolfram_alpha import WolframAlphaAPIWrapper\\nfrom langflow import CustomComponent\\n\\n# Since all the fields in the JSON have show=False, we will only create a basic component\\n# without any configurable fields.\\n\\n\\nclass WolframAlphaAPIWrapperComponent(CustomComponent):\\n    display_name = \\\"WolframAlphaAPIWrapper\\\"\\n    description = \\\"Wrapper for Wolfram Alpha.\\\"\\n\\n    def build_config(self):\\n        return {\\\"appid\\\": {\\\"display_name\\\": \\\"App ID\\\", \\\"type\\\": \\\"str\\\", \\\"password\\\": True}}\\n\\n    def build(self, appid: str) -> Union[Callable, WolframAlphaAPIWrapper]:\\n        return WolframAlphaAPIWrapper(wolfram_alpha_appid=appid)  # type: ignore\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Wrapper for Wolfram Alpha.\",\"base_classes\":[\"WolframAlphaAPIWrapper\",\"Callable\"],\"display_name\":\"WolframAlphaAPIWrapper\",\"documentation\":\"\",\"custom_fields\":{\"appid\":null},\"output_types\":[\"Callable\",\"WolframAlphaAPIWrapper\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"RunnableExecutor\":{\"template\":{\"runnable\":{\"type\":\"Runnable\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"runnable\",\"display_name\":\"Runnable\",\"advanced\":false,\"dynamic\":false,\"info\":\"The runnable to execute.\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langchain_core.runnables import Runnable\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Text\\n\\n\\nclass RunnableExecComponent(CustomComponent):\\n    documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n    display_name = \\\"Runnable Executor\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"input_key\\\": {\\n                \\\"display_name\\\": \\\"Input Key\\\",\\n                \\\"info\\\": \\\"The key to use for the input.\\\",\\n            },\\n            \\\"inputs\\\": {\\n                \\\"display_name\\\": \\\"Inputs\\\",\\n                \\\"info\\\": \\\"The inputs to pass to the runnable.\\\",\\n            },\\n            \\\"runnable\\\": {\\n                \\\"display_name\\\": \\\"Runnable\\\",\\n                \\\"info\\\": \\\"The runnable to execute.\\\",\\n            },\\n            \\\"output_key\\\": {\\n                \\\"display_name\\\": \\\"Output Key\\\",\\n                \\\"info\\\": \\\"The key to use for the output.\\\",\\n            },\\n        }\\n\\n    def build(\\n        self,\\n        input_key: str,\\n        inputs: str,\\n        runnable: Runnable,\\n        output_key: str = \\\"output\\\",\\n    ) -> Text:\\n        result = runnable.invoke({input_key: inputs})\\n        result = result.get(output_key)\\n        self.status = result\\n        return result\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"input_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"input_key\",\"display_name\":\"Input Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The key to use for the input.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"inputs\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"inputs\",\"display_name\":\"Inputs\",\"advanced\":false,\"dynamic\":false,\"info\":\"The inputs to pass to the runnable.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"output_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"output\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"output_key\",\"display_name\":\"Output Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The key to use for the output.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"base_classes\":[\"Text\",\"object\"],\"display_name\":\"Runnable Executor\",\"documentation\":\"http://docs.langflow.org/components/custom\",\"custom_fields\":{\"input_key\":null,\"inputs\":null,\"runnable\":null,\"output_key\":null},\"output_types\":[\"Text\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"DocumentToRecord\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import List\\n\\nfrom langchain_core.documents import Document\\n\\nfrom langflow import CustomComponent\\nfrom langflow.schema import Record\\n\\n\\nclass DocumentToRecordComponent(CustomComponent):\\n    display_name = \\\"Documents to Records\\\"\\n    description = \\\"Convert documents to records.\\\"\\n\\n    field_config = {\\n        \\\"documents\\\": {\\\"display_name\\\": \\\"Documents\\\"},\\n    }\\n\\n    def build(self, documents: List[Document]) -> List[Record]:\\n        if isinstance(documents, Document):\\n            documents = [documents]\\n        records = [Record.from_document(document) for document in documents]\\n        self.status = records\\n        return records\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Convert documents to records.\",\"base_classes\":[\"Record\"],\"display_name\":\"Documents to Records\",\"documentation\":\"\",\"custom_fields\":{\"documents\":null},\"output_types\":[\"Record\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"GetRequest\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nimport requests\\nfrom langchain_core.documents import Document\\nfrom langflow import CustomComponent\\nfrom langflow.services.database.models.base import orjson_dumps\\n\\n\\nclass GetRequest(CustomComponent):\\n    display_name: str = \\\"GET Request\\\"\\n    description: str = \\\"Make a GET request to the given URL.\\\"\\n    output_types: list[str] = [\\\"Document\\\"]\\n    documentation: str = \\\"https://docs.langflow.org/components/utilities#get-request\\\"\\n    beta: bool = True\\n    field_config = {\\n        \\\"url\\\": {\\n            \\\"display_name\\\": \\\"URL\\\",\\n            \\\"info\\\": \\\"The URL to make the request to\\\",\\n            \\\"is_list\\\": True,\\n        },\\n        \\\"headers\\\": {\\n            \\\"display_name\\\": \\\"Headers\\\",\\n            \\\"info\\\": \\\"The headers to send with the request.\\\",\\n        },\\n        \\\"code\\\": {\\\"show\\\": False},\\n        \\\"timeout\\\": {\\n            \\\"display_name\\\": \\\"Timeout\\\",\\n            \\\"field_type\\\": \\\"int\\\",\\n            \\\"info\\\": \\\"The timeout to use for the request.\\\",\\n            \\\"value\\\": 5,\\n        },\\n    }\\n\\n    def get_document(self, session: requests.Session, url: str, headers: Optional[dict], timeout: int) -> Document:\\n        try:\\n            response = session.get(url, headers=headers, timeout=int(timeout))\\n            try:\\n                response_json = response.json()\\n                result = orjson_dumps(response_json, indent_2=False)\\n            except Exception:\\n                result = response.text\\n            self.repr_value = result\\n            return Document(\\n                page_content=result,\\n                metadata={\\n                    \\\"source\\\": url,\\n                    \\\"headers\\\": headers,\\n                    \\\"status_code\\\": response.status_code,\\n                },\\n            )\\n        except requests.Timeout:\\n            return Document(\\n                page_content=\\\"Request Timed Out\\\",\\n                metadata={\\\"source\\\": url, \\\"headers\\\": headers, \\\"status_code\\\": 408},\\n            )\\n        except Exception as exc:\\n            return Document(\\n                page_content=str(exc),\\n                metadata={\\\"source\\\": url, \\\"headers\\\": headers, \\\"status_code\\\": 500},\\n            )\\n\\n    def build(\\n        self,\\n        url: str,\\n        headers: Optional[dict] = None,\\n        timeout: int = 5,\\n    ) -> list[Document]:\\n        if headers is None:\\n            headers = {}\\n        urls = url if isinstance(url, list) else [url]\\n        with requests.Session() as session:\\n            documents = [self.get_document(session, u, headers, timeout) for u in urls]\\n            self.repr_value = documents\\n        return documents\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"headers\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"headers\",\"display_name\":\"Headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"The headers to send with the request.\",\"title_case\":false},\"timeout\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":5,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"timeout\",\"display_name\":\"Timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"The timeout to use for the request.\",\"title_case\":false},\"url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"The URL to make the request to\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"description\":\"Make a GET request to the given URL.\",\"base_classes\":[\"Serializable\",\"Document\"],\"display_name\":\"GET Request\",\"documentation\":\"https://docs.langflow.org/components/utilities#get-request\",\"custom_fields\":{\"url\":null,\"headers\":null,\"timeout\":null},\"output_types\":[\"Document\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"SQLExecutor\":{\"template\":{\"database\":{\"type\":\"SQLDatabase\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"database\",\"display_name\":\"Database\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"add_error\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"add_error\",\"display_name\":\"Add Error\",\"advanced\":false,\"dynamic\":false,\"info\":\"Add the error to the result.\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langchain_community.tools.sql_database.tool import QuerySQLDataBaseTool\\nfrom langchain_experimental.sql.base import SQLDatabase\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Text\\n\\n\\nclass SQLExecutorComponent(CustomComponent):\\n    display_name = \\\"SQL Executor\\\"\\n    description = \\\"Execute SQL query.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"database\\\": {\\\"display_name\\\": \\\"Database\\\"},\\n            \\\"include_columns\\\": {\\n                \\\"display_name\\\": \\\"Include Columns\\\",\\n                \\\"info\\\": \\\"Include columns in the result.\\\",\\n            },\\n            \\\"passthrough\\\": {\\n                \\\"display_name\\\": \\\"Passthrough\\\",\\n                \\\"info\\\": \\\"If an error occurs, return the query instead of raising an exception.\\\",\\n            },\\n            \\\"add_error\\\": {\\n                \\\"display_name\\\": \\\"Add Error\\\",\\n                \\\"info\\\": \\\"Add the error to the result.\\\",\\n            },\\n        }\\n\\n    def build(\\n        self,\\n        query: str,\\n        database: SQLDatabase,\\n        include_columns: bool = False,\\n        passthrough: bool = False,\\n        add_error: bool = False,\\n    ) -> Text:\\n        error = None\\n        try:\\n            tool = QuerySQLDataBaseTool(db=database)\\n            result = tool.run(query, include_columns=include_columns)\\n            self.status = result\\n        except Exception as e:\\n            result = str(e)\\n            self.status = result\\n            if not passthrough:\\n                raise e\\n            error = repr(e)\\n\\n        if add_error and error is not None:\\n            result = f\\\"{result}\\\\n\\\\nError: {error}\\\\n\\\\nQuery: {query}\\\"\\n        elif error is not None:\\n            # Then we won't add the error to the result\\n            # but since we are in passthrough mode, we will return the query\\n            result = query\\n\\n        return result\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"include_columns\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"include_columns\",\"display_name\":\"Include Columns\",\"advanced\":false,\"dynamic\":false,\"info\":\"Include columns in the result.\",\"title_case\":false},\"passthrough\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"passthrough\",\"display_name\":\"Passthrough\",\"advanced\":false,\"dynamic\":false,\"info\":\"If an error occurs, return the query instead of raising an exception.\",\"title_case\":false},\"query\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"description\":\"Execute SQL query.\",\"base_classes\":[\"Text\",\"object\"],\"display_name\":\"SQL Executor\",\"documentation\":\"\",\"custom_fields\":{\"query\":null,\"database\":null,\"include_columns\":null,\"passthrough\":null,\"add_error\":null},\"output_types\":[\"Text\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"ShouldRunNext\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"The language model to use for the decision.\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"# Implement ShouldRunNext component\\nfrom langchain_core.prompts import PromptTemplate\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseLanguageModel, Prompt\\n\\n\\nclass ShouldRunNext(CustomComponent):\\n    display_name = \\\"Should Run Next\\\"\\n    description = \\\"Decides whether to run the next component.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\n                \\\"display_name\\\": \\\"Prompt\\\",\\n                \\\"info\\\": \\\"The prompt to use for the decision. It should generate a boolean response (True or False).\\\",\\n            },\\n            \\\"llm\\\": {\\n                \\\"display_name\\\": \\\"LLM\\\",\\n                \\\"info\\\": \\\"The language model to use for the decision.\\\",\\n            },\\n        }\\n\\n    def build(self, template: Prompt, llm: BaseLanguageModel, **kwargs) -> dict:\\n        # This is a simple component that always returns True\\n        prompt_template = PromptTemplate.from_template(template)\\n\\n        attributes_to_check = [\\\"text\\\", \\\"page_content\\\"]\\n        for key, value in kwargs.items():\\n            for attribute in attributes_to_check:\\n                if hasattr(value, attribute):\\n                    kwargs[key] = getattr(value, attribute)\\n\\n        chain = prompt_template | llm\\n        result = chain.invoke(kwargs)\\n        if hasattr(result, \\\"content\\\") and isinstance(result.content, str):\\n            result = result.content\\n        elif isinstance(result, str):\\n            result = result\\n        else:\\n            result = result.get(\\\"response\\\")\\n\\n        if result.lower() not in [\\\"true\\\", \\\"false\\\"]:\\n            raise ValueError(\\\"The prompt should generate a boolean response (True or False).\\\")\\n        # The string should be the words true or false\\n        # if not raise an error\\n        bool_result = result.lower() == \\\"true\\\"\\n        return {\\\"condition\\\": bool_result, \\\"result\\\": kwargs}\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"template\":{\"type\":\"prompt\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Decides whether to run the next component.\",\"base_classes\":[\"object\",\"dict\"],\"display_name\":\"Should Run Next\",\"documentation\":\"\",\"custom_fields\":{\"template\":null,\"llm\":null},\"output_types\":[\"dict\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"PythonFunction\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Code\\nfrom langflow.interface.custom.utils import get_function\\n\\n\\nclass PythonFunctionComponent(CustomComponent):\\n    display_name = \\\"Python Function\\\"\\n    description = \\\"Define a Python function.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"function_code\\\": {\\n                \\\"display_name\\\": \\\"Code\\\",\\n                \\\"info\\\": \\\"The code for the function.\\\",\\n                \\\"show\\\": True,\\n            },\\n        }\\n\\n    def build(self, function_code: Code) -> Callable:\\n        self.status = function_code\\n        func = get_function(function_code)\\n        return func\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"function_code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"function_code\",\"display_name\":\"Code\",\"advanced\":false,\"dynamic\":false,\"info\":\"The code for the function.\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Define a Python function.\",\"base_classes\":[\"Callable\"],\"display_name\":\"Python Function\",\"documentation\":\"\",\"custom_fields\":{\"function_code\":null},\"output_types\":[\"Callable\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"PostRequest\":{\"template\":{\"document\":{\"type\":\"Document\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"document\",\"display_name\":\"Document\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nimport requests\\nfrom langchain_core.documents import Document\\nfrom langflow import CustomComponent\\nfrom langflow.services.database.models.base import orjson_dumps\\n\\n\\nclass PostRequest(CustomComponent):\\n    display_name: str = \\\"POST Request\\\"\\n    description: str = \\\"Make a POST request to the given URL.\\\"\\n    output_types: list[str] = [\\\"Document\\\"]\\n    documentation: str = \\\"https://docs.langflow.org/components/utilities#post-request\\\"\\n    beta: bool = True\\n    field_config = {\\n        \\\"url\\\": {\\\"display_name\\\": \\\"URL\\\", \\\"info\\\": \\\"The URL to make the request to.\\\"},\\n        \\\"headers\\\": {\\n            \\\"display_name\\\": \\\"Headers\\\",\\n            \\\"info\\\": \\\"The headers to send with the request.\\\",\\n        },\\n        \\\"code\\\": {\\\"show\\\": False},\\n        \\\"document\\\": {\\\"display_name\\\": \\\"Document\\\"},\\n    }\\n\\n    def post_document(\\n        self,\\n        session: requests.Session,\\n        document: Document,\\n        url: str,\\n        headers: Optional[dict] = None,\\n    ) -> Document:\\n        try:\\n            response = session.post(url, headers=headers, data=document.page_content)\\n            try:\\n                response_json = response.json()\\n                result = orjson_dumps(response_json, indent_2=False)\\n            except Exception:\\n                result = response.text\\n            self.repr_value = result\\n            return Document(\\n                page_content=result,\\n                metadata={\\n                    \\\"source\\\": url,\\n                    \\\"headers\\\": headers,\\n                    \\\"status_code\\\": response,\\n                },\\n            )\\n        except Exception as exc:\\n            return Document(\\n                page_content=str(exc),\\n                metadata={\\n                    \\\"source\\\": url,\\n                    \\\"headers\\\": headers,\\n                    \\\"status_code\\\": 500,\\n                },\\n            )\\n\\n    def build(\\n        self,\\n        document: Document,\\n        url: str,\\n        headers: Optional[dict] = None,\\n    ) -> list[Document]:\\n        if headers is None:\\n            headers = {}\\n\\n        if not isinstance(document, list) and isinstance(document, Document):\\n            documents: list[Document] = [document]\\n        elif isinstance(document, list) and all(isinstance(doc, Document) for doc in document):\\n            documents = document\\n        else:\\n            raise ValueError(\\\"document must be a Document or a list of Documents\\\")\\n\\n        with requests.Session() as session:\\n            documents = [self.post_document(session, doc, url, headers) for doc in documents]\\n            self.repr_value = documents\\n        return documents\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"headers\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"headers\",\"display_name\":\"Headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"The headers to send with the request.\",\"title_case\":false},\"url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"The URL to make the request to.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"description\":\"Make a POST request to the given URL.\",\"base_classes\":[\"Serializable\",\"Document\"],\"display_name\":\"POST Request\",\"documentation\":\"https://docs.langflow.org/components/utilities#post-request\",\"custom_fields\":{\"document\":null,\"url\":null,\"headers\":null},\"output_types\":[\"Document\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"IDGenerator\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"import uuid\\n\\nfrom langflow import CustomComponent\\n\\n\\nclass UUIDGeneratorComponent(CustomComponent):\\n    documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n    display_name = \\\"Unique ID Generator\\\"\\n    description = \\\"Generates a unique ID.\\\"\\n\\n    def generate(self, *args, **kwargs):\\n        return str(uuid.uuid4().hex)\\n\\n    def build_config(self):\\n        return {\\\"unique_id\\\": {\\\"display_name\\\": \\\"Value\\\", \\\"value\\\": self.generate}}\\n\\n    def build(self, unique_id: str) -> str:\\n        return unique_id\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"unique_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"a62d43140aba4c799af4ddc400295790\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"unique_id\",\"display_name\":\"Value\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"refresh\":true,\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"description\":\"Generates a unique ID.\",\"base_classes\":[\"object\",\"str\"],\"display_name\":\"Unique ID Generator\",\"documentation\":\"http://docs.langflow.org/components/custom\",\"custom_fields\":{\"unique_id\":null},\"output_types\":[\"str\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"SQLDatabase\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langchain_experimental.sql.base import SQLDatabase\\n\\nfrom langflow import CustomComponent\\n\\n\\nclass SQLDatabaseComponent(CustomComponent):\\n    display_name = \\\"SQLDatabase\\\"\\n    description = \\\"SQL Database\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"uri\\\": {\\\"display_name\\\": \\\"URI\\\", \\\"info\\\": \\\"URI to the database.\\\"},\\n        }\\n\\n    def clean_up_uri(self, uri: str) -> str:\\n        if uri.startswith(\\\"postgresql://\\\"):\\n            uri = uri.replace(\\\"postgresql://\\\", \\\"postgres://\\\")\\n        return uri.strip()\\n\\n    def build(self, uri: str) -> SQLDatabase:\\n        uri = self.clean_up_uri(uri)\\n        return SQLDatabase.from_uri(uri)\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"uri\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"uri\",\"display_name\":\"URI\",\"advanced\":false,\"dynamic\":false,\"info\":\"URI to the database.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"description\":\"SQL Database\",\"base_classes\":[\"object\",\"SQLDatabase\"],\"display_name\":\"SQLDatabase\",\"documentation\":\"\",\"custom_fields\":{\"uri\":null},\"output_types\":[\"SQLDatabase\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"RecordsAsText\":{\"template\":{\"records\":{\"type\":\"Record\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"records\",\"display_name\":\"Records\",\"advanced\":false,\"dynamic\":false,\"info\":\"The records to convert to text.\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Text\\nfrom langflow.schema import Record\\n\\n\\nclass RecordsAsTextComponent(CustomComponent):\\n    display_name = \\\"Records to Text\\\"\\n    description = \\\"Converts Records a list of Records to text using a template.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"records\\\": {\\n                \\\"display_name\\\": \\\"Records\\\",\\n                \\\"info\\\": \\\"The records to convert to text.\\\",\\n            },\\n            \\\"template\\\": {\\n                \\\"display_name\\\": \\\"Template\\\",\\n                \\\"info\\\": \\\"The template to use for formatting the records. It must contain the keys {text} and {data}.\\\",\\n            },\\n        }\\n\\n    def build(\\n        self,\\n        records: list[Record],\\n        template: str = \\\"Text: {text}\\\\nData: {data}\\\",\\n    ) -> Text:\\n        if isinstance(records, Record):\\n            records = [records]\\n\\n        formated_records = [\\n            template.format(text=record.text, data=record.data, **record.data)\\n            for record in records\\n        ]\\n        result_string = \\\"\\\\n\\\".join(formated_records)\\n        self.status = result_string\\n        return result_string\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"template\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"Text: {text}\\\\nData: {data}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"template\",\"display_name\":\"Template\",\"advanced\":false,\"dynamic\":false,\"info\":\"The template to use for formatting the records. It must contain the keys {text} and {data}.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"description\":\"Converts Records a list of Records to text using a template.\",\"base_classes\":[\"Text\",\"object\"],\"display_name\":\"Records to Text\",\"documentation\":\"\",\"custom_fields\":{\"records\":null,\"template\":null},\"output_types\":[\"Text\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"UpdateRequest\":{\"template\":{\"document\":{\"type\":\"Document\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"document\",\"display_name\":\"Document\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import List, Optional\\n\\nimport requests\\nfrom langchain_core.documents import Document\\nfrom langflow import CustomComponent\\nfrom langflow.services.database.models.base import orjson_dumps\\n\\n\\nclass UpdateRequest(CustomComponent):\\n    display_name: str = \\\"Update Request\\\"\\n    description: str = \\\"Make a PATCH request to the given URL.\\\"\\n    output_types: list[str] = [\\\"Document\\\"]\\n    documentation: str = \\\"https://docs.langflow.org/components/utilities#update-request\\\"\\n    beta: bool = True\\n    field_config = {\\n        \\\"url\\\": {\\\"display_name\\\": \\\"URL\\\", \\\"info\\\": \\\"The URL to make the request to.\\\"},\\n        \\\"headers\\\": {\\n            \\\"display_name\\\": \\\"Headers\\\",\\n            \\\"field_type\\\": \\\"NestedDict\\\",\\n            \\\"info\\\": \\\"The headers to send with the request.\\\",\\n        },\\n        \\\"code\\\": {\\\"show\\\": False},\\n        \\\"document\\\": {\\\"display_name\\\": \\\"Document\\\"},\\n        \\\"method\\\": {\\n            \\\"display_name\\\": \\\"Method\\\",\\n            \\\"field_type\\\": \\\"str\\\",\\n            \\\"info\\\": \\\"The HTTP method to use.\\\",\\n            \\\"options\\\": [\\\"PATCH\\\", \\\"PUT\\\"],\\n            \\\"value\\\": \\\"PATCH\\\",\\n        },\\n    }\\n\\n    def update_document(\\n        self,\\n        session: requests.Session,\\n        document: Document,\\n        url: str,\\n        headers: Optional[dict] = None,\\n        method: str = \\\"PATCH\\\",\\n    ) -> Document:\\n        try:\\n            if method == \\\"PATCH\\\":\\n                response = session.patch(url, headers=headers, data=document.page_content)\\n            elif method == \\\"PUT\\\":\\n                response = session.put(url, headers=headers, data=document.page_content)\\n            else:\\n                raise ValueError(f\\\"Unsupported method: {method}\\\")\\n            try:\\n                response_json = response.json()\\n                result = orjson_dumps(response_json, indent_2=False)\\n            except Exception:\\n                result = response.text\\n            self.repr_value = result\\n            return Document(\\n                page_content=result,\\n                metadata={\\n                    \\\"source\\\": url,\\n                    \\\"headers\\\": headers,\\n                    \\\"status_code\\\": response.status_code,\\n                },\\n            )\\n        except Exception as exc:\\n            return Document(\\n                page_content=str(exc),\\n                metadata={\\\"source\\\": url, \\\"headers\\\": headers, \\\"status_code\\\": 500},\\n            )\\n\\n    def build(\\n        self,\\n        method: str,\\n        document: Document,\\n        url: str,\\n        headers: Optional[dict] = None,\\n    ) -> List[Document]:\\n        if headers is None:\\n            headers = {}\\n\\n        if not isinstance(document, list) and isinstance(document, Document):\\n            documents: list[Document] = [document]\\n        elif isinstance(document, list) and all(isinstance(doc, Document) for doc in document):\\n            documents = document\\n        else:\\n            raise ValueError(\\\"document must be a Document or a list of Documents\\\")\\n\\n        with requests.Session() as session:\\n            documents = [self.update_document(session, doc, url, headers, method) for doc in documents]\\n            self.repr_value = documents\\n        return documents\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"headers\":{\"type\":\"NestedDict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"headers\",\"display_name\":\"Headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"The headers to send with the request.\",\"title_case\":false},\"method\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"PATCH\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"PATCH\",\"PUT\"],\"name\":\"method\",\"display_name\":\"Method\",\"advanced\":false,\"dynamic\":false,\"info\":\"The HTTP method to use.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"The URL to make the request to.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"description\":\"Make a PATCH request to the given URL.\",\"base_classes\":[\"Serializable\",\"Document\"],\"display_name\":\"Update Request\",\"documentation\":\"https://docs.langflow.org/components/utilities#update-request\",\"custom_fields\":{\"method\":null,\"document\":null,\"url\":null,\"headers\":null},\"output_types\":[\"Document\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"JSONDocumentBuilder\":{\"template\":{\"document\":{\"type\":\"Document\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"document\",\"display_name\":\"Document\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"### JSON Document Builder\\n\\n# Build a Document containing a JSON object using a key and another Document page content.\\n\\n# **Params**\\n\\n# - **Key:** The key to use for the JSON object.\\n# - **Document:** The Document page to use for the JSON object.\\n\\n# **Output**\\n\\n# - **Document:** The Document containing the JSON object.\\n\\nfrom langchain_core.documents import Document\\nfrom langflow import CustomComponent\\nfrom langflow.services.database.models.base import orjson_dumps\\n\\n\\nclass JSONDocumentBuilder(CustomComponent):\\n    display_name: str = \\\"JSON Document Builder\\\"\\n    description: str = \\\"Build a Document containing a JSON object using a key and another Document page content.\\\"\\n    output_types: list[str] = [\\\"Document\\\"]\\n    beta = True\\n    documentation: str = \\\"https://docs.langflow.org/components/utilities#json-document-builder\\\"\\n\\n    field_config = {\\n        \\\"key\\\": {\\\"display_name\\\": \\\"Key\\\"},\\n        \\\"document\\\": {\\\"display_name\\\": \\\"Document\\\"},\\n    }\\n\\n    def build(\\n        self,\\n        key: str,\\n        document: Document,\\n    ) -> Document:\\n        documents = None\\n        if isinstance(document, list):\\n            documents = [\\n                Document(page_content=orjson_dumps({key: doc.page_content}, indent_2=False)) for doc in document\\n            ]\\n        elif isinstance(document, Document):\\n            documents = Document(page_content=orjson_dumps({key: document.page_content}, indent_2=False))\\n        else:\\n            raise TypeError(f\\\"Expected Document or list of Documents, got {type(document)}\\\")\\n        self.repr_value = documents\\n        return documents\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"key\",\"display_name\":\"Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"description\":\"Build a Document containing a JSON object using a key and another Document page content.\",\"base_classes\":[\"Serializable\",\"Document\"],\"display_name\":\"JSON Document Builder\",\"documentation\":\"https://docs.langflow.org/components/utilities#json-document-builder\",\"custom_fields\":{\"key\":null,\"document\":null},\"output_types\":[\"Document\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true}},\"output_parsers\":{\"ResponseSchema\":{\"template\":{\"description\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"fileTypes\":[],\"password\":false,\"name\":\"description\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"type\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"string\",\"fileTypes\":[],\"password\":false,\"name\":\"type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"ResponseSchema\"},\"description\":\"A schema for a response from a structured output parser.\",\"base_classes\":[\"ResponseSchema\"],\"display_name\":\"ResponseSchema\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/output_parsers/structured\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"StructuredOutputParser\":{\"template\":{\"response_schemas\":{\"type\":\"ResponseSchema\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"response_schemas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"StructuredOutputParser\"},\"description\":\"\",\"base_classes\":[\"BaseOutputParser\",\"Runnable\",\"BaseLLMOutputParser\",\"Generic\",\"RunnableSerializable\",\"StructuredOutputParser\",\"Serializable\",\"object\"],\"display_name\":\"StructuredOutputParser\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/output_parsers/structured\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"pinned\":false,\"beta\":false}},\"retrievers\":{\"AmazonKendra\":{\"template\":{\"attribute_filter\":{\"type\":\"code\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"attribute_filter\",\"display_name\":\"Attribute Filter\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.schema import BaseRetriever\\nfrom langchain_community.retrievers import AmazonKendraRetriever\\n\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonKendraRetrieverComponent(CustomComponent):\\n    display_name: str = \\\"Amazon Kendra Retriever\\\"\\n    description: str = \\\"Retriever that uses the Amazon Kendra API.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"index_id\\\": {\\\"display_name\\\": \\\"Index ID\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"Region Name\\\"},\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"attribute_filter\\\": {\\n                \\\"display_name\\\": \\\"Attribute Filter\\\",\\n                \\\"field_type\\\": \\\"code\\\",\\n            },\\n            \\\"top_k\\\": {\\\"display_name\\\": \\\"Top K\\\", \\\"field_type\\\": \\\"int\\\"},\\n            \\\"user_context\\\": {\\n                \\\"display_name\\\": \\\"User Context\\\",\\n                \\\"field_type\\\": \\\"code\\\",\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        index_id: str,\\n        top_k: int = 3,\\n        region_name: Optional[str] = None,\\n        credentials_profile_name: Optional[str] = None,\\n        attribute_filter: Optional[dict] = None,\\n        user_context: Optional[dict] = None,\\n    ) -> BaseRetriever:\\n        try:\\n            output = AmazonKendraRetriever(\\n                index_id=index_id,\\n                top_k=top_k,\\n                region_name=region_name,\\n                credentials_profile_name=credentials_profile_name,\\n                attribute_filter=attribute_filter,\\n                user_context=user_context,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonKendra API.\\\") from e\\n        return output\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"credentials_profile_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"index_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"index_id\",\"display_name\":\"Index ID\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"region_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"region_name\",\"display_name\":\"Region Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"top_k\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":3,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_k\",\"display_name\":\"Top K\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"user_context\":{\"type\":\"code\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"user_context\",\"display_name\":\"User Context\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Retriever that uses the Amazon Kendra API.\",\"base_classes\":[\"Runnable\",\"Generic\",\"RunnableSerializable\",\"Serializable\",\"object\",\"BaseRetriever\"],\"display_name\":\"Amazon Kendra Retriever\",\"documentation\":\"\",\"custom_fields\":{\"index_id\":null,\"top_k\":null,\"region_name\":null,\"credentials_profile_name\":null,\"attribute_filter\":null,\"user_context\":null},\"output_types\":[\"BaseRetriever\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"VectaraSelfQueryRetriver\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"For self query retriever\",\"title_case\":false},\"vectorstore\":{\"type\":\"VectorStore\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"vectorstore\",\"display_name\":\"Vector Store\",\"advanced\":false,\"dynamic\":false,\"info\":\"Input Vectara Vectore Store\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import List\\nfrom langflow import CustomComponent\\nimport json\\nfrom langchain.schema import BaseRetriever\\nfrom langchain.schema.vectorstore import VectorStore\\nfrom langchain.base_language import BaseLanguageModel\\nfrom langchain.retrievers.self_query.base import SelfQueryRetriever\\nfrom langchain.chains.query_constructor.base import AttributeInfo\\n\\n\\nclass VectaraSelfQueryRetriverComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing Vectara Self Query Retriever using a vector store.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Vectara Self Query Retriever for Vectara Vector Store\\\"\\n    description: str = \\\"Implementation of Vectara Self Query Retriever\\\"\\n    documentation = \\\"https://python.langchain.com/docs/integrations/retrievers/self_query/vectara_self_query\\\"\\n    beta = True\\n\\n    field_config = {\\n        \\\"code\\\": {\\\"show\\\": True},\\n        \\\"vectorstore\\\": {\\\"display_name\\\": \\\"Vector Store\\\", \\\"info\\\": \\\"Input Vectara Vectore Store\\\"},\\n        \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\", \\\"info\\\": \\\"For self query retriever\\\"},\\n        \\\"document_content_description\\\": {\\n            \\\"display_name\\\": \\\"Document Content Description\\\",\\n            \\\"info\\\": \\\"For self query retriever\\\",\\n        },\\n        \\\"metadata_field_info\\\": {\\n            \\\"display_name\\\": \\\"Metadata Field Info\\\",\\n            \\\"info\\\": 'Each metadata field info is a string in the form of key value pair dictionary containing additional search metadata.\\\\nExample input: {\\\"name\\\":\\\"speech\\\",\\\"description\\\":\\\"what name of the speech\\\",\\\"type\\\":\\\"string or list[string]\\\"}.\\\\nThe keys should remain constant(name, description, type)',\\n        },\\n    }\\n\\n    def build(\\n        self,\\n        vectorstore: VectorStore,\\n        document_content_description: str,\\n        llm: BaseLanguageModel,\\n        metadata_field_info: List[str],\\n    ) -> BaseRetriever:\\n        metadata_field_obj = []\\n\\n        for meta in metadata_field_info:\\n            meta_obj = json.loads(meta)\\n            if \\\"name\\\" not in meta_obj or \\\"description\\\" not in meta_obj or \\\"type\\\" not in meta_obj:\\n                raise Exception(\\\"Incorrect metadata field info format.\\\")\\n            attribute_info = AttributeInfo(\\n                name=meta_obj[\\\"name\\\"],\\n                description=meta_obj[\\\"description\\\"],\\n                type=meta_obj[\\\"type\\\"],\\n            )\\n            metadata_field_obj.append(attribute_info)\\n\\n        return SelfQueryRetriever.from_llm(\\n            llm, vectorstore, document_content_description, metadata_field_obj, verbose=True\\n        )\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"document_content_description\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"document_content_description\",\"display_name\":\"Document Content Description\",\"advanced\":false,\"dynamic\":false,\"info\":\"For self query retriever\",\"title_case\":false,\"input_types\":[\"Text\"]},\"metadata_field_info\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata_field_info\",\"display_name\":\"Metadata Field Info\",\"advanced\":false,\"dynamic\":false,\"info\":\"Each metadata field info is a string in the form of key value pair dictionary containing additional search metadata.\\nExample input: {\\\"name\\\":\\\"speech\\\",\\\"description\\\":\\\"what name of the speech\\\",\\\"type\\\":\\\"string or list[string]\\\"}.\\nThe keys should remain constant(name, description, type)\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"description\":\"Implementation of Vectara Self Query Retriever\",\"base_classes\":[\"Runnable\",\"Generic\",\"RunnableSerializable\",\"Serializable\",\"object\",\"BaseRetriever\"],\"display_name\":\"Vectara Self Query Retriever for Vectara Vector Store\",\"documentation\":\"https://python.langchain.com/docs/integrations/retrievers/self_query/vectara_self_query\",\"custom_fields\":{\"vectorstore\":null,\"document_content_description\":null,\"llm\":null,\"metadata_field_info\":null},\"output_types\":[\"BaseRetriever\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"MultiQueryRetriever\":{\"template\":{\"llm\":{\"type\":\"BaseLLM\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"prompt\":{\"type\":\"PromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"retriever\":{\"type\":\"BaseRetriever\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"retriever\",\"display_name\":\"Retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.retrievers import MultiQueryRetriever\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseLLM, BaseRetriever, PromptTemplate\\n\\n\\nclass MultiQueryRetrieverComponent(CustomComponent):\\n    display_name = \\\"MultiQueryRetriever\\\"\\n    description = \\\"Initialize from llm using default template.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/retrievers/how_to/MultiQueryRetriever\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"prompt\\\": {\\n                \\\"display_name\\\": \\\"Prompt\\\",\\n                \\\"default\\\": {\\n                    \\\"input_variables\\\": [\\\"question\\\"],\\n                    \\\"input_types\\\": {},\\n                    \\\"output_parser\\\": None,\\n                    \\\"partial_variables\\\": {},\\n                    \\\"template\\\": \\\"You are an AI language model assistant. Your task is \\\\n\\\"\\n                    \\\"to generate 3 different versions of the given user \\\\n\\\"\\n                    \\\"question to retrieve relevant documents from a vector database. \\\\n\\\"\\n                    \\\"By generating multiple perspectives on the user question, \\\\n\\\"\\n                    \\\"your goal is to help the user overcome some of the limitations \\\\n\\\"\\n                    \\\"of distance-based similarity search. Provide these alternative \\\\n\\\"\\n                    \\\"questions separated by newlines. Original question: {question}\\\",\\n                    \\\"template_format\\\": \\\"f-string\\\",\\n                    \\\"validate_template\\\": False,\\n                    \\\"_type\\\": \\\"prompt\\\",\\n                },\\n            },\\n            \\\"retriever\\\": {\\\"display_name\\\": \\\"Retriever\\\"},\\n            \\\"parser_key\\\": {\\\"display_name\\\": \\\"Parser Key\\\", \\\"default\\\": \\\"lines\\\"},\\n        }\\n\\n    def build(\\n        self,\\n        llm: BaseLLM,\\n        retriever: BaseRetriever,\\n        prompt: Optional[PromptTemplate] = None,\\n        parser_key: str = \\\"lines\\\",\\n    ) -> Union[Callable, MultiQueryRetriever]:\\n        if not prompt:\\n            return MultiQueryRetriever.from_llm(llm=llm, retriever=retriever, parser_key=parser_key)\\n        else:\\n            return MultiQueryRetriever.from_llm(llm=llm, retriever=retriever, prompt=prompt, parser_key=parser_key)\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"parser_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"lines\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"parser_key\",\"display_name\":\"Parser Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"description\":\"Initialize from llm using default template.\",\"base_classes\":[],\"display_name\":\"MultiQueryRetriever\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/retrievers/how_to/MultiQueryRetriever\",\"custom_fields\":{\"llm\":null,\"retriever\":null,\"prompt\":null,\"parser_key\":null},\"output_types\":[],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"MetalRetriever\":{\"template\":{\"api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_key\",\"display_name\":\"API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"client_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"client_id\",\"display_name\":\"Client ID\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.schema import BaseRetriever\\nfrom langchain_community.retrievers import MetalRetriever\\nfrom metal_sdk.metal import Metal  # type: ignore\\n\\nfrom langflow import CustomComponent\\n\\n\\nclass MetalRetrieverComponent(CustomComponent):\\n    display_name: str = \\\"Metal Retriever\\\"\\n    description: str = \\\"Retriever that uses the Metal API.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"api_key\\\": {\\\"display_name\\\": \\\"API Key\\\", \\\"password\\\": True},\\n            \\\"client_id\\\": {\\\"display_name\\\": \\\"Client ID\\\", \\\"password\\\": True},\\n            \\\"index_id\\\": {\\\"display_name\\\": \\\"Index ID\\\"},\\n            \\\"params\\\": {\\\"display_name\\\": \\\"Parameters\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(self, api_key: str, client_id: str, index_id: str, params: Optional[dict] = None) -> BaseRetriever:\\n        try:\\n            metal = Metal(api_key=api_key, client_id=client_id, index_id=index_id)\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to Metal API.\\\") from e\\n        return MetalRetriever(client=metal, params=params or {})\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"index_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"index_id\",\"display_name\":\"Index ID\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"params\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"params\",\"display_name\":\"Parameters\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Retriever that uses the Metal API.\",\"base_classes\":[\"Runnable\",\"Generic\",\"RunnableSerializable\",\"Serializable\",\"object\",\"BaseRetriever\"],\"display_name\":\"Metal Retriever\",\"documentation\":\"\",\"custom_fields\":{\"api_key\":null,\"client_id\":null,\"index_id\":null,\"params\":null},\"output_types\":[\"BaseRetriever\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true}},\"custom_components\":{\"CustomComponent\":{\"template\":{\"param\":{\"type\":\"Data\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"param\",\"display_name\":\"Parameter\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\n\\nclass Component(CustomComponent):\\n    documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n    def build_config(self):\\n        return {\\\"param\\\": {\\\"display_name\\\": \\\"Parameter\\\"}}\\n\\n    def build(self, param: Data) -> Data:\\n        return param\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"base_classes\":[\"object\",\"Data\"],\"display_name\":\"CustomComponent\",\"documentation\":\"http://docs.langflow.org/components/custom\",\"custom_fields\":{\"param\":null},\"output_types\":[\"Data\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true}},\"vectorstores\":{\"Weaviate\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"embedding\":{\"type\":\"Embeddings\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_key\",\"display_name\":\"API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"attributes\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"attributes\",\"display_name\":\"Attributes\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional, Union\\n\\nimport weaviate  # type: ignore\\nfrom langchain.embeddings.base import Embeddings\\nfrom langchain.schema import BaseRetriever, Document\\nfrom langchain_community.vectorstores import VectorStore, Weaviate\\n\\nfrom langflow import CustomComponent\\n\\n\\nclass WeaviateVectorStore(CustomComponent):\\n    display_name: str = \\\"Weaviate\\\"\\n    description: str = \\\"Implementation of Vector Store using Weaviate\\\"\\n    documentation = \\\"https://python.langchain.com/docs/integrations/vectorstores/weaviate\\\"\\n    beta = True\\n    field_config = {\\n        \\\"url\\\": {\\\"display_name\\\": \\\"Weaviate URL\\\", \\\"value\\\": \\\"http://localhost:8080\\\"},\\n        \\\"api_key\\\": {\\n            \\\"display_name\\\": \\\"API Key\\\",\\n            \\\"password\\\": True,\\n            \\\"required\\\": False,\\n        },\\n        \\\"index_name\\\": {\\n            \\\"display_name\\\": \\\"Index name\\\",\\n            \\\"required\\\": False,\\n        },\\n        \\\"text_key\\\": {\\\"display_name\\\": \\\"Text Key\\\", \\\"required\\\": False, \\\"advanced\\\": True, \\\"value\\\": \\\"text\\\"},\\n        \\\"documents\\\": {\\\"display_name\\\": \\\"Documents\\\", \\\"is_list\\\": True},\\n        \\\"embedding\\\": {\\\"display_name\\\": \\\"Embedding\\\"},\\n        \\\"attributes\\\": {\\n            \\\"display_name\\\": \\\"Attributes\\\",\\n            \\\"required\\\": False,\\n            \\\"is_list\\\": True,\\n            \\\"field_type\\\": \\\"str\\\",\\n            \\\"advanced\\\": True,\\n        },\\n        \\\"search_by_text\\\": {\\\"display_name\\\": \\\"Search By Text\\\", \\\"field_type\\\": \\\"bool\\\", \\\"advanced\\\": True},\\n        \\\"code\\\": {\\\"show\\\": False},\\n    }\\n\\n    def build(\\n        self,\\n        url: str,\\n        search_by_text: bool = False,\\n        api_key: Optional[str] = None,\\n        index_name: Optional[str] = None,\\n        text_key: str = \\\"text\\\",\\n        embedding: Optional[Embeddings] = None,\\n        documents: Optional[Document] = None,\\n        attributes: Optional[list] = None,\\n    ) -> Union[VectorStore, BaseRetriever]:\\n        if api_key:\\n            auth_config = weaviate.AuthApiKey(api_key=api_key)\\n            client = weaviate.Client(url=url, auth_client_secret=auth_config)\\n        else:\\n            client = weaviate.Client(url=url)\\n\\n        def _to_pascal_case(word: str):\\n            if word and not word[0].isupper():\\n                word = word.capitalize()\\n\\n            if word.isidentifier():\\n                return word\\n\\n            word = word.replace(\\\"-\\\", \\\" \\\").replace(\\\"_\\\", \\\" \\\")\\n            parts = word.split()\\n            pascal_case_word = \\\"\\\".join([part.capitalize() for part in parts])\\n\\n            return pascal_case_word\\n\\n        index_name = _to_pascal_case(index_name) if index_name else None\\n\\n        if documents is not None and embedding is not None:\\n            return Weaviate.from_documents(\\n                client=client,\\n                index_name=index_name,\\n                documents=documents,\\n                embedding=embedding,\\n                by_text=search_by_text,\\n            )\\n\\n        return Weaviate(\\n            client=client,\\n            index_name=index_name,\\n            text_key=text_key,\\n            embedding=embedding,\\n            by_text=search_by_text,\\n            attributes=attributes if attributes is not None else [],\\n        )\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"index_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"index_name\",\"display_name\":\"Index name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"search_by_text\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"search_by_text\",\"display_name\":\"Search By Text\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"text_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"text\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"text_key\",\"display_name\":\"Text Key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"http://localhost:8080\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"Weaviate URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"description\":\"Implementation of Vector Store using Weaviate\",\"base_classes\":[\"Runnable\",\"Generic\",\"VectorStore\",\"RunnableSerializable\",\"Serializable\",\"object\",\"BaseRetriever\"],\"display_name\":\"Weaviate\",\"documentation\":\"https://python.langchain.com/docs/integrations/vectorstores/weaviate\",\"custom_fields\":{\"url\":null,\"search_by_text\":null,\"api_key\":null,\"index_name\":null,\"text_key\":null,\"embedding\":null,\"documents\":null,\"attributes\":null},\"output_types\":[\"VectorStore\",\"BaseRetriever\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"Vectara\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"If provided, will be upserted to corpus (optional)\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"import tempfile\\nimport urllib\\nimport urllib.request\\nfrom typing import List, Optional, Union\\n\\nfrom langchain_community.embeddings import FakeEmbeddings\\nfrom langchain_community.vectorstores.vectara import Vectara\\nfrom langchain_core.vectorstores import VectorStore\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseRetriever, Document\\n\\n\\nclass VectaraComponent(CustomComponent):\\n    display_name: str = \\\"Vectara\\\"\\n    description: str = \\\"Implementation of Vector Store using Vectara\\\"\\n    documentation = \\\"https://python.langchain.com/docs/integrations/vectorstores/vectara\\\"\\n    beta = True\\n    field_config = {\\n        \\\"vectara_customer_id\\\": {\\n            \\\"display_name\\\": \\\"Vectara Customer ID\\\",\\n        },\\n        \\\"vectara_corpus_id\\\": {\\n            \\\"display_name\\\": \\\"Vectara Corpus ID\\\",\\n        },\\n        \\\"vectara_api_key\\\": {\\n            \\\"display_name\\\": \\\"Vectara API Key\\\",\\n            \\\"password\\\": True,\\n        },\\n        \\\"documents\\\": {\\\"display_name\\\": \\\"Documents\\\", \\\"info\\\": \\\"If provided, will be upserted to corpus (optional)\\\"},\\n        \\\"files_url\\\": {\\n            \\\"display_name\\\": \\\"Files Url\\\",\\n            \\\"info\\\": \\\"Make vectara object using url of files (optional)\\\",\\n        },\\n    }\\n\\n    def build(\\n        self,\\n        vectara_customer_id: str,\\n        vectara_corpus_id: str,\\n        vectara_api_key: str,\\n        files_url: Optional[List[str]] = None,\\n        documents: Optional[Document] = None,\\n    ) -> Union[VectorStore, BaseRetriever]:\\n        source = \\\"Langflow\\\"\\n\\n        if documents is not None:\\n            return Vectara.from_documents(\\n                documents=documents,  # type: ignore\\n                embedding=FakeEmbeddings(size=768),\\n                vectara_customer_id=vectara_customer_id,\\n                vectara_corpus_id=vectara_corpus_id,\\n                vectara_api_key=vectara_api_key,\\n                source=source,\\n            )\\n\\n        if files_url is not None:\\n            files_list = []\\n            for url in files_url:\\n                name = tempfile.NamedTemporaryFile().name\\n                urllib.request.urlretrieve(url, name)\\n                files_list.append(name)\\n\\n            return Vectara.from_files(\\n                files=files_list,\\n                embedding=FakeEmbeddings(size=768),\\n                vectara_customer_id=vectara_customer_id,\\n                vectara_corpus_id=vectara_corpus_id,\\n                vectara_api_key=vectara_api_key,\\n                source=source,\\n            )\\n\\n        return Vectara(\\n            vectara_customer_id=vectara_customer_id,\\n            vectara_corpus_id=vectara_corpus_id,\\n            vectara_api_key=vectara_api_key,\\n            source=source,\\n        )\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"files_url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"files_url\",\"display_name\":\"Files Url\",\"advanced\":false,\"dynamic\":false,\"info\":\"Make vectara object using url of files (optional)\",\"title_case\":false,\"input_types\":[\"Text\"]},\"vectara_api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"vectara_api_key\",\"display_name\":\"Vectara API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"vectara_corpus_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"vectara_corpus_id\",\"display_name\":\"Vectara Corpus ID\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"vectara_customer_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"vectara_customer_id\",\"display_name\":\"Vectara Customer ID\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"description\":\"Implementation of Vector Store using Vectara\",\"base_classes\":[\"Runnable\",\"Generic\",\"VectorStore\",\"RunnableSerializable\",\"Serializable\",\"object\",\"BaseRetriever\"],\"display_name\":\"Vectara\",\"documentation\":\"https://python.langchain.com/docs/integrations/vectorstores/vectara\",\"custom_fields\":{\"vectara_customer_id\":null,\"vectara_corpus_id\":null,\"vectara_api_key\":null,\"files_url\":null,\"documents\":null},\"output_types\":[\"VectorStore\",\"BaseRetriever\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"Chroma\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"chroma_server_cors_allow_origins\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chroma_server_cors_allow_origins\",\"display_name\":\"Server CORS Allow Origins\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"chroma_server_grpc_port\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chroma_server_grpc_port\",\"display_name\":\"Server gRPC Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"chroma_server_host\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chroma_server_host\",\"display_name\":\"Server Host\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"chroma_server_port\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chroma_server_port\",\"display_name\":\"Server Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"chroma_server_ssl_enabled\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chroma_server_ssl_enabled\",\"display_name\":\"Server SSL Enabled\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import List, Optional, Union\\n\\nimport chromadb  # type: ignore\\nfrom langchain.embeddings.base import Embeddings\\nfrom langchain.schema import BaseRetriever, Document\\nfrom langchain_community.vectorstores import VectorStore\\nfrom langchain_community.vectorstores.chroma import Chroma\\n\\nfrom langflow import CustomComponent\\n\\n\\nclass ChromaComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing a Vector Store using Chroma.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Chroma\\\"\\n    description: str = \\\"Implementation of Vector Store using Chroma\\\"\\n    documentation = \\\"https://python.langchain.com/docs/integrations/vectorstores/chroma\\\"\\n    beta: bool = True\\n    icon = \\\"Chroma\\\"\\n\\n    def build_config(self):\\n        \\\"\\\"\\\"\\n        Builds the configuration for the component.\\n\\n        Returns:\\n        - dict: A dictionary containing the configuration options for the component.\\n        \\\"\\\"\\\"\\n        return {\\n            \\\"collection_name\\\": {\\\"display_name\\\": \\\"Collection Name\\\", \\\"value\\\": \\\"langflow\\\"},\\n            \\\"index_directory\\\": {\\\"display_name\\\": \\\"Persist Directory\\\"},\\n            \\\"code\\\": {\\\"advanced\\\": True, \\\"display_name\\\": \\\"Code\\\"},\\n            \\\"documents\\\": {\\\"display_name\\\": \\\"Documents\\\", \\\"is_list\\\": True},\\n            \\\"embedding\\\": {\\\"display_name\\\": \\\"Embedding\\\"},\\n            \\\"chroma_server_cors_allow_origins\\\": {\\n                \\\"display_name\\\": \\\"Server CORS Allow Origins\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"chroma_server_host\\\": {\\\"display_name\\\": \\\"Server Host\\\", \\\"advanced\\\": True},\\n            \\\"chroma_server_port\\\": {\\\"display_name\\\": \\\"Server Port\\\", \\\"advanced\\\": True},\\n            \\\"chroma_server_grpc_port\\\": {\\n                \\\"display_name\\\": \\\"Server gRPC Port\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"chroma_server_ssl_enabled\\\": {\\n                \\\"display_name\\\": \\\"Server SSL Enabled\\\",\\n                \\\"advanced\\\": True,\\n            },\\n        }\\n\\n    def build(\\n        self,\\n        collection_name: str,\\n        embedding: Embeddings,\\n        chroma_server_ssl_enabled: bool,\\n        index_directory: Optional[str] = None,\\n        documents: Optional[List[Document]] = None,\\n        chroma_server_cors_allow_origins: Optional[str] = None,\\n        chroma_server_host: Optional[str] = None,\\n        chroma_server_port: Optional[int] = None,\\n        chroma_server_grpc_port: Optional[int] = None,\\n    ) -> Union[VectorStore, BaseRetriever]:\\n        \\\"\\\"\\\"\\n        Builds the Vector Store or BaseRetriever object.\\n\\n        Args:\\n        - collection_name (str): The name of the collection.\\n        - index_directory (Optional[str]): The directory to persist the Vector Store to.\\n        - chroma_server_ssl_enabled (bool): Whether to enable SSL for the Chroma server.\\n        - embedding (Optional[Embeddings]): The embeddings to use for the Vector Store.\\n        - documents (Optional[Document]): The documents to use for the Vector Store.\\n        - chroma_server_cors_allow_origins (Optional[str]): The CORS allow origins for the Chroma server.\\n        - chroma_server_host (Optional[str]): The host for the Chroma server.\\n        - chroma_server_port (Optional[int]): The port for the Chroma server.\\n        - chroma_server_grpc_port (Optional[int]): The gRPC port for the Chroma server.\\n\\n        Returns:\\n        - Union[VectorStore, BaseRetriever]: The Vector Store or BaseRetriever object.\\n        \\\"\\\"\\\"\\n\\n        # Chroma settings\\n        chroma_settings = None\\n\\n        if chroma_server_host is not None:\\n            chroma_settings = chromadb.config.Settings(\\n                chroma_server_cors_allow_origins=chroma_server_cors_allow_origins\\n                or None,\\n                chroma_server_host=chroma_server_host,\\n                chroma_server_port=chroma_server_port or None,\\n                chroma_server_grpc_port=chroma_server_grpc_port or None,\\n                chroma_server_ssl_enabled=chroma_server_ssl_enabled,\\n            )\\n\\n        # If documents, then we need to create a Chroma instance using .from_documents\\n\\n        # Check index_directory and expand it if it is a relative path\\n\\n        index_directory = self.resolve_path(index_directory)\\n\\n        if documents is not None and embedding is not None:\\n            if len(documents) == 0:\\n                raise ValueError(\\n                    \\\"If documents are provided, there must be at least one document.\\\"\\n                )\\n            chroma = Chroma.from_documents(\\n                documents=documents,  # type: ignore\\n                persist_directory=index_directory,\\n                collection_name=collection_name,\\n                embedding=embedding,\\n                client_settings=chroma_settings,\\n            )\\n        else:\\n            chroma = Chroma(\\n                persist_directory=index_directory,\\n                client_settings=chroma_settings,\\n                embedding_function=embedding,\\n            )\\n        return chroma\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"collection_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"langflow\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"collection_name\",\"display_name\":\"Collection Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"index_directory\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"index_directory\",\"display_name\":\"Persist Directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"description\":\"Implementation of Vector Store using Chroma\",\"icon\":\"Chroma\",\"base_classes\":[\"Runnable\",\"Generic\",\"VectorStore\",\"RunnableSerializable\",\"Serializable\",\"object\",\"BaseRetriever\"],\"display_name\":\"Chroma\",\"documentation\":\"https://python.langchain.com/docs/integrations/vectorstores/chroma\",\"custom_fields\":{\"collection_name\":null,\"embedding\":null,\"chroma_server_ssl_enabled\":null,\"index_directory\":null,\"documents\":null,\"chroma_server_cors_allow_origins\":null,\"chroma_server_host\":null,\"chroma_server_port\":null,\"chroma_server_grpc_port\":null},\"output_types\":[\"VectorStore\",\"BaseRetriever\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"SupabaseVectorStore\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import List, Union\\n\\nfrom langchain.schema import BaseRetriever\\nfrom langchain_community.vectorstores import VectorStore\\nfrom langchain_community.vectorstores.supabase import SupabaseVectorStore\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Document, Embeddings, NestedDict\\nfrom supabase.client import Client, create_client\\n\\n\\nclass SupabaseComponent(CustomComponent):\\n    display_name = \\\"Supabase\\\"\\n    description = \\\"Return VectorStore initialized from texts and embeddings.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"documents\\\": {\\\"display_name\\\": \\\"Documents\\\"},\\n            \\\"embedding\\\": {\\\"display_name\\\": \\\"Embedding\\\"},\\n            \\\"query_name\\\": {\\\"display_name\\\": \\\"Query Name\\\"},\\n            \\\"search_kwargs\\\": {\\\"display_name\\\": \\\"Search Kwargs\\\", \\\"advanced\\\": True},\\n            \\\"supabase_service_key\\\": {\\\"display_name\\\": \\\"Supabase Service Key\\\"},\\n            \\\"supabase_url\\\": {\\\"display_name\\\": \\\"Supabase URL\\\"},\\n            \\\"table_name\\\": {\\\"display_name\\\": \\\"Table Name\\\", \\\"advanced\\\": True},\\n        }\\n\\n    def build(\\n        self,\\n        embedding: Embeddings,\\n        documents: List[Document],\\n        query_name: str = \\\"\\\",\\n        search_kwargs: NestedDict = {},\\n        supabase_service_key: str = \\\"\\\",\\n        supabase_url: str = \\\"\\\",\\n        table_name: str = \\\"\\\",\\n    ) -> Union[VectorStore, SupabaseVectorStore, BaseRetriever]:\\n        supabase: Client = create_client(supabase_url, supabase_key=supabase_service_key)\\n        return SupabaseVectorStore.from_documents(\\n            documents=documents,\\n            embedding=embedding,\\n            query_name=query_name,\\n            search_kwargs=search_kwargs,\\n            client=supabase,\\n            table_name=table_name,\\n        )\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"query_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"query_name\",\"display_name\":\"Query Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"search_kwargs\":{\"type\":\"NestedDict\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"search_kwargs\",\"display_name\":\"Search Kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"supabase_service_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"supabase_service_key\",\"display_name\":\"Supabase Service Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"supabase_url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"supabase_url\",\"display_name\":\"Supabase URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"table_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"table_name\",\"display_name\":\"Table Name\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"description\":\"Return VectorStore initialized from texts and embeddings.\",\"base_classes\":[\"Runnable\",\"Generic\",\"VectorStore\",\"SupabaseVectorStore\",\"RunnableSerializable\",\"Serializable\",\"object\",\"BaseRetriever\"],\"display_name\":\"Supabase\",\"documentation\":\"\",\"custom_fields\":{\"embedding\":null,\"documents\":null,\"query_name\":null,\"search_kwargs\":null,\"supabase_service_key\":null,\"supabase_url\":null,\"table_name\":null},\"output_types\":[\"VectorStore\",\"SupabaseVectorStore\",\"BaseRetriever\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"Redis\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional, Union\\n\\nfrom langchain.embeddings.base import Embeddings\\nfrom langchain_community.vectorstores import VectorStore\\nfrom langchain_community.vectorstores.redis import Redis\\nfrom langchain_core.documents import Document\\nfrom langchain_core.retrievers import BaseRetriever\\nfrom langflow import CustomComponent\\n\\n\\nclass RedisComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing a Vector Store using Redis.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Redis\\\"\\n    description: str = \\\"Implementation of Vector Store using Redis\\\"\\n    documentation = \\\"https://python.langchain.com/docs/integrations/vectorstores/redis\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        \\\"\\\"\\\"\\n        Builds the configuration for the component.\\n\\n        Returns:\\n        - dict: A dictionary containing the configuration options for the component.\\n        \\\"\\\"\\\"\\n        return {\\n            \\\"index_name\\\": {\\\"display_name\\\": \\\"Index Name\\\", \\\"value\\\": \\\"your_index\\\"},\\n            \\\"code\\\": {\\\"show\\\": False, \\\"display_name\\\": \\\"Code\\\"},\\n            \\\"documents\\\": {\\\"display_name\\\": \\\"Documents\\\", \\\"is_list\\\": True},\\n            \\\"embedding\\\": {\\\"display_name\\\": \\\"Embedding\\\"},\\n            \\\"schema\\\": {\\\"display_name\\\": \\\"Schema\\\", \\\"file_types\\\": [\\\".yaml\\\"]},\\n            \\\"redis_server_url\\\": {\\n                \\\"display_name\\\": \\\"Redis Server Connection String\\\",\\n                \\\"advanced\\\": False,\\n            },\\n            \\\"redis_index_name\\\": {\\\"display_name\\\": \\\"Redis Index\\\", \\\"advanced\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        embedding: Embeddings,\\n        redis_server_url: str,\\n        redis_index_name: str,\\n        schema: Optional[str] = None,\\n        documents: Optional[Document] = None,\\n    ) -> Union[VectorStore, BaseRetriever]:\\n        \\\"\\\"\\\"\\n        Builds the Vector Store or BaseRetriever object.\\n\\n        Args:\\n        - embedding (Embeddings): The embeddings to use for the Vector Store.\\n        - documents (Optional[Document]): The documents to use for the Vector Store.\\n        - redis_index_name (str): The name of the Redis index.\\n        - redis_server_url (str): The URL for the Redis server.\\n\\n        Returns:\\n        - VectorStore: The Vector Store object.\\n        \\\"\\\"\\\"\\n        if documents is None:\\n            if schema is None:\\n                raise ValueError(\\\"If no documents are provided, a schema must be provided.\\\")\\n            redis_vs = Redis.from_existing_index(\\n                embedding=embedding,\\n                index_name=redis_index_name,\\n                schema=schema,\\n                key_prefix=None,\\n                redis_url=redis_server_url,\\n            )\\n        else:\\n            redis_vs = Redis.from_documents(\\n                documents=documents,  # type: ignore\\n                embedding=embedding,\\n                redis_url=redis_server_url,\\n                index_name=redis_index_name,\\n            )\\n        return redis_vs\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"redis_index_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"redis_index_name\",\"display_name\":\"Redis Index\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"redis_server_url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"redis_server_url\",\"display_name\":\"Redis Server Connection String\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"schema\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[\".yaml\"],\"file_path\":\"\",\"password\":false,\"name\":\"schema\",\"display_name\":\"Schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"description\":\"Implementation of Vector Store using Redis\",\"base_classes\":[\"Runnable\",\"Generic\",\"VectorStore\",\"RunnableSerializable\",\"Serializable\",\"object\",\"BaseRetriever\"],\"display_name\":\"Redis\",\"documentation\":\"https://python.langchain.com/docs/integrations/vectorstores/redis\",\"custom_fields\":{\"embedding\":null,\"redis_server_url\":null,\"redis_index_name\":null,\"schema\":null,\"documents\":null},\"output_types\":[\"VectorStore\",\"BaseRetriever\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"pgvector\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional, Union\\n\\nfrom langchain.embeddings.base import Embeddings\\nfrom langchain_community.vectorstores import VectorStore\\nfrom langchain_community.vectorstores.pgvector import PGVector\\nfrom langchain_core.documents import Document\\nfrom langchain_core.retrievers import BaseRetriever\\nfrom langflow import CustomComponent\\n\\n\\nclass PGVectorComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing a Vector Store using PostgreSQL.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"PGVector\\\"\\n    description: str = \\\"Implementation of Vector Store using PostgreSQL\\\"\\n    documentation = \\\"https://python.langchain.com/docs/integrations/vectorstores/pgvector\\\"\\n\\n    def build_config(self):\\n        \\\"\\\"\\\"\\n        Builds the configuration for the component.\\n\\n        Returns:\\n        - dict: A dictionary containing the configuration options for the component.\\n        \\\"\\\"\\\"\\n        return {\\n            \\\"code\\\": {\\\"show\\\": False},\\n            \\\"documents\\\": {\\\"display_name\\\": \\\"Documents\\\", \\\"is_list\\\": True},\\n            \\\"embedding\\\": {\\\"display_name\\\": \\\"Embedding\\\"},\\n            \\\"pg_server_url\\\": {\\n                \\\"display_name\\\": \\\"PostgreSQL Server Connection String\\\",\\n                \\\"advanced\\\": False,\\n            },\\n            \\\"collection_name\\\": {\\\"display_name\\\": \\\"Table\\\", \\\"advanced\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        embedding: Embeddings,\\n        pg_server_url: str,\\n        collection_name: str,\\n        documents: Optional[Document] = None,\\n    ) -> Union[VectorStore, BaseRetriever]:\\n        \\\"\\\"\\\"\\n        Builds the Vector Store or BaseRetriever object.\\n\\n        Args:\\n        - embedding (Embeddings): The embeddings to use for the Vector Store.\\n        - documents (Optional[Document]): The documents to use for the Vector Store.\\n        - collection_name (str): The name of the PG table.\\n        - pg_server_url (str): The URL for the PG server.\\n\\n        Returns:\\n        - VectorStore: The Vector Store object.\\n        \\\"\\\"\\\"\\n\\n        try:\\n            if documents is None:\\n                vector_store = PGVector.from_existing_index(\\n                    embedding=embedding,\\n                    collection_name=collection_name,\\n                    connection_string=pg_server_url,\\n                )\\n            else:\\n                vector_store = PGVector.from_documents(\\n                    embedding=embedding,\\n                    documents=documents,  # type: ignore\\n                    collection_name=collection_name,\\n                    connection_string=pg_server_url,\\n                )\\n        except Exception as e:\\n            raise RuntimeError(f\\\"Failed to build PGVector: {e}\\\")\\n        return vector_store\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"collection_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"collection_name\",\"display_name\":\"Table\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"pg_server_url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"pg_server_url\",\"display_name\":\"PostgreSQL Server Connection String\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"description\":\"Implementation of Vector Store using PostgreSQL\",\"base_classes\":[\"Runnable\",\"Generic\",\"VectorStore\",\"RunnableSerializable\",\"Serializable\",\"object\",\"BaseRetriever\"],\"display_name\":\"PGVector\",\"documentation\":\"https://python.langchain.com/docs/integrations/vectorstores/pgvector\",\"custom_fields\":{\"embedding\":null,\"pg_server_url\":null,\"collection_name\":null,\"documents\":null},\"output_types\":[\"VectorStore\",\"BaseRetriever\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"Pinecone\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"import os\\nfrom typing import List, Optional, Union\\n\\nimport pinecone  # type: ignore\\nfrom langchain.schema import BaseRetriever\\nfrom langchain_community.vectorstores import VectorStore\\nfrom langchain_community.vectorstores.pinecone import Pinecone\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Document, Embeddings\\n\\n\\nclass PineconeComponent(CustomComponent):\\n    display_name = \\\"Pinecone\\\"\\n    description = \\\"Construct Pinecone wrapper from raw documents.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"documents\\\": {\\\"display_name\\\": \\\"Documents\\\"},\\n            \\\"embedding\\\": {\\\"display_name\\\": \\\"Embedding\\\"},\\n            \\\"index_name\\\": {\\\"display_name\\\": \\\"Index Name\\\"},\\n            \\\"namespace\\\": {\\\"display_name\\\": \\\"Namespace\\\"},\\n            \\\"pinecone_api_key\\\": {\\\"display_name\\\": \\\"Pinecone API Key\\\", \\\"default\\\": \\\"\\\", \\\"password\\\": True, \\\"required\\\": True},\\n            \\\"pinecone_env\\\": {\\\"display_name\\\": \\\"Pinecone Environment\\\", \\\"default\\\": \\\"\\\", \\\"required\\\": True},\\n            \\\"search_kwargs\\\": {\\\"display_name\\\": \\\"Search Kwargs\\\", \\\"default\\\": \\\"{}\\\"},\\n            \\\"pool_threads\\\": {\\\"display_name\\\": \\\"Pool Threads\\\", \\\"default\\\": 1, \\\"advanced\\\": True},\\n        }\\n\\n    def build(\\n        self,\\n        embedding: Embeddings,\\n        pinecone_env: str,\\n        documents: List[Document],\\n        text_key: str = \\\"text\\\",\\n        pool_threads: int = 4,\\n        index_name: Optional[str] = None,\\n        pinecone_api_key: Optional[str] = None,\\n        namespace: Optional[str] = \\\"default\\\",\\n    ) -> Union[VectorStore, Pinecone, BaseRetriever]:\\n        if pinecone_api_key is None or pinecone_env is None:\\n            raise ValueError(\\\"Pinecone API Key and Environment are required.\\\")\\n        if os.getenv(\\\"PINECONE_API_KEY\\\") is None and pinecone_api_key is None:\\n            raise ValueError(\\\"Pinecone API Key is required.\\\")\\n\\n        pinecone.init(api_key=pinecone_api_key, environment=pinecone_env)  # type: ignore\\n        if not index_name:\\n            raise ValueError(\\\"Index Name is required.\\\")\\n        if documents:\\n            return Pinecone.from_documents(\\n                documents=documents,\\n                embedding=embedding,\\n                index_name=index_name,\\n                pool_threads=pool_threads,\\n                namespace=namespace,\\n                text_key=text_key,\\n            )\\n\\n        return Pinecone.from_existing_index(\\n            index_name=index_name,\\n            embedding=embedding,\\n            text_key=text_key,\\n            namespace=namespace,\\n            pool_threads=pool_threads,\\n        )\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"index_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"index_name\",\"display_name\":\"Index Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"namespace\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"default\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"namespace\",\"display_name\":\"Namespace\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"pinecone_api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"pinecone_api_key\",\"display_name\":\"Pinecone API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"pinecone_env\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"pinecone_env\",\"display_name\":\"Pinecone Environment\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"pool_threads\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":4,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"pool_threads\",\"display_name\":\"Pool Threads\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"text_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"text\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"text_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"description\":\"Construct Pinecone wrapper from raw documents.\",\"base_classes\":[\"Runnable\",\"Generic\",\"VectorStore\",\"Pinecone\",\"RunnableSerializable\",\"Serializable\",\"object\",\"BaseRetriever\"],\"display_name\":\"Pinecone\",\"documentation\":\"\",\"custom_fields\":{\"embedding\":null,\"pinecone_env\":null,\"documents\":null,\"text_key\":null,\"pool_threads\":null,\"index_name\":null,\"pinecone_api_key\":null,\"namespace\":null},\"output_types\":[\"VectorStore\",\"Pinecone\",\"BaseRetriever\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"Qdrant\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_key\",\"display_name\":\"API Key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional, Union\\n\\nfrom langchain.schema import BaseRetriever\\nfrom langchain_community.vectorstores import VectorStore\\nfrom langchain_community.vectorstores.qdrant import Qdrant\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Document, Embeddings, NestedDict\\n\\n\\nclass QdrantComponent(CustomComponent):\\n    display_name = \\\"Qdrant\\\"\\n    description = \\\"Construct Qdrant wrapper from a list of texts.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"documents\\\": {\\\"display_name\\\": \\\"Documents\\\"},\\n            \\\"embedding\\\": {\\\"display_name\\\": \\\"Embedding\\\"},\\n            \\\"api_key\\\": {\\\"display_name\\\": \\\"API Key\\\", \\\"password\\\": True, \\\"advanced\\\": True},\\n            \\\"collection_name\\\": {\\\"display_name\\\": \\\"Collection Name\\\"},\\n            \\\"content_payload_key\\\": {\\\"display_name\\\": \\\"Content Payload Key\\\", \\\"advanced\\\": True},\\n            \\\"distance_func\\\": {\\\"display_name\\\": \\\"Distance Function\\\", \\\"advanced\\\": True},\\n            \\\"grpc_port\\\": {\\\"display_name\\\": \\\"gRPC Port\\\", \\\"advanced\\\": True},\\n            \\\"host\\\": {\\\"display_name\\\": \\\"Host\\\", \\\"advanced\\\": True},\\n            \\\"https\\\": {\\\"display_name\\\": \\\"HTTPS\\\", \\\"advanced\\\": True},\\n            \\\"location\\\": {\\\"display_name\\\": \\\"Location\\\", \\\"advanced\\\": True},\\n            \\\"metadata_payload_key\\\": {\\\"display_name\\\": \\\"Metadata Payload Key\\\", \\\"advanced\\\": True},\\n            \\\"path\\\": {\\\"display_name\\\": \\\"Path\\\", \\\"advanced\\\": True},\\n            \\\"port\\\": {\\\"display_name\\\": \\\"Port\\\", \\\"advanced\\\": True},\\n            \\\"prefer_grpc\\\": {\\\"display_name\\\": \\\"Prefer gRPC\\\", \\\"advanced\\\": True},\\n            \\\"prefix\\\": {\\\"display_name\\\": \\\"Prefix\\\", \\\"advanced\\\": True},\\n            \\\"search_kwargs\\\": {\\\"display_name\\\": \\\"Search Kwargs\\\", \\\"advanced\\\": True},\\n            \\\"timeout\\\": {\\\"display_name\\\": \\\"Timeout\\\", \\\"advanced\\\": True},\\n            \\\"url\\\": {\\\"display_name\\\": \\\"URL\\\", \\\"advanced\\\": True},\\n        }\\n\\n    def build(\\n        self,\\n        embedding: Embeddings,\\n        collection_name: str,\\n        documents: Optional[Document] = None,\\n        api_key: Optional[str] = None,\\n        content_payload_key: str = \\\"page_content\\\",\\n        distance_func: str = \\\"Cosine\\\",\\n        grpc_port: int = 6334,\\n        https: bool = False,\\n        host: Optional[str] = None,\\n        location: Optional[str] = None,\\n        metadata_payload_key: str = \\\"metadata\\\",\\n        path: Optional[str] = None,\\n        port: Optional[int] = 6333,\\n        prefer_grpc: bool = False,\\n        prefix: Optional[str] = None,\\n        search_kwargs: Optional[NestedDict] = None,\\n        timeout: Optional[int] = None,\\n        url: Optional[str] = None,\\n    ) -> Union[VectorStore, Qdrant, BaseRetriever]:\\n        if documents is None:\\n            from qdrant_client import QdrantClient\\n\\n            client = QdrantClient(\\n                location=location,\\n                url=host,\\n                port=port,\\n                grpc_port=grpc_port,\\n                https=https,\\n                prefix=prefix,\\n                timeout=timeout,\\n                prefer_grpc=prefer_grpc,\\n                metadata_payload_key=metadata_payload_key,\\n                content_payload_key=content_payload_key,\\n                api_key=api_key,\\n                collection_name=collection_name,\\n                host=host,\\n                path=path,\\n            )\\n            vs = Qdrant(\\n                client=client,\\n                collection_name=collection_name,\\n                embeddings=embedding,\\n            )\\n            return vs\\n        else:\\n            vs = Qdrant.from_documents(\\n                documents=documents,  # type: ignore\\n                embedding=embedding,\\n                api_key=api_key,\\n                collection_name=collection_name,\\n                content_payload_key=content_payload_key,\\n                distance_func=distance_func,\\n                grpc_port=grpc_port,\\n                host=host,\\n                https=https,\\n                location=location,\\n                metadata_payload_key=metadata_payload_key,\\n                path=path,\\n                port=port,\\n                prefer_grpc=prefer_grpc,\\n                prefix=prefix,\\n                search_kwargs=search_kwargs,\\n                timeout=timeout,\\n                url=url,\\n            )\\n        return vs\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"collection_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"collection_name\",\"display_name\":\"Collection Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"content_payload_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"page_content\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"content_payload_key\",\"display_name\":\"Content Payload Key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"distance_func\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"Cosine\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"distance_func\",\"display_name\":\"Distance Function\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"grpc_port\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":6334,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"grpc_port\",\"display_name\":\"gRPC Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"host\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"host\",\"display_name\":\"Host\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"https\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"https\",\"display_name\":\"HTTPS\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"location\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"location\",\"display_name\":\"Location\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"metadata_payload_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"metadata\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata_payload_key\",\"display_name\":\"Metadata Payload Key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"path\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"path\",\"display_name\":\"Path\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"port\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":6333,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"port\",\"display_name\":\"Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"prefer_grpc\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"prefer_grpc\",\"display_name\":\"Prefer gRPC\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"prefix\",\"display_name\":\"Prefix\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"search_kwargs\":{\"type\":\"NestedDict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"search_kwargs\",\"display_name\":\"Search Kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"timeout\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"timeout\",\"display_name\":\"Timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"URL\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"description\":\"Construct Qdrant wrapper from a list of texts.\",\"base_classes\":[\"Runnable\",\"Generic\",\"VectorStore\",\"Qdrant\",\"RunnableSerializable\",\"Serializable\",\"object\",\"BaseRetriever\"],\"display_name\":\"Qdrant\",\"documentation\":\"\",\"custom_fields\":{\"embedding\":null,\"collection_name\":null,\"documents\":null,\"api_key\":null,\"content_payload_key\":null,\"distance_func\":null,\"grpc_port\":null,\"https\":null,\"host\":null,\"location\":null,\"metadata_payload_key\":null,\"path\":null,\"port\":null,\"prefer_grpc\":null,\"prefix\":null,\"search_kwargs\":null,\"timeout\":null,\"url\":null},\"output_types\":[\"VectorStore\",\"Qdrant\",\"BaseRetriever\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"MongoDBAtlasVectorSearch\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import List, Optional\\n\\nfrom langchain_community.vectorstores import MongoDBAtlasVectorSearch\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    Document,\\n    Embeddings,\\n    NestedDict,\\n)\\n\\n\\nclass MongoDBAtlasComponent(CustomComponent):\\n    display_name = \\\"MongoDB Atlas\\\"\\n    description = \\\"Construct a `MongoDB Atlas Vector Search` vector store from raw documents.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"documents\\\": {\\\"display_name\\\": \\\"Documents\\\"},\\n            \\\"embedding\\\": {\\\"display_name\\\": \\\"Embedding\\\"},\\n            \\\"collection_name\\\": {\\\"display_name\\\": \\\"Collection Name\\\"},\\n            \\\"db_name\\\": {\\\"display_name\\\": \\\"Database Name\\\"},\\n            \\\"index_name\\\": {\\\"display_name\\\": \\\"Index Name\\\"},\\n            \\\"mongodb_atlas_cluster_uri\\\": {\\\"display_name\\\": \\\"MongoDB Atlas Cluster URI\\\"},\\n            \\\"search_kwargs\\\": {\\\"display_name\\\": \\\"Search Kwargs\\\", \\\"advanced\\\": True},\\n        }\\n\\n    def build(\\n        self,\\n        documents: List[Document],\\n        embedding: Embeddings,\\n        collection_name: str = \\\"\\\",\\n        db_name: str = \\\"\\\",\\n        index_name: str = \\\"\\\",\\n        mongodb_atlas_cluster_uri: str = \\\"\\\",\\n        search_kwargs: Optional[NestedDict] = None,\\n    ) -> MongoDBAtlasVectorSearch:\\n        search_kwargs = search_kwargs or {}\\n        return MongoDBAtlasVectorSearch(\\n            documents=documents,\\n            embedding=embedding,\\n            collection_name=collection_name,\\n            db_name=db_name,\\n            index_name=index_name,\\n            mongodb_atlas_cluster_uri=mongodb_atlas_cluster_uri,\\n            search_kwargs=search_kwargs,\\n        )\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"collection_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"collection_name\",\"display_name\":\"Collection Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"db_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"db_name\",\"display_name\":\"Database Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"index_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"index_name\",\"display_name\":\"Index Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"mongodb_atlas_cluster_uri\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"mongodb_atlas_cluster_uri\",\"display_name\":\"MongoDB Atlas Cluster URI\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"search_kwargs\":{\"type\":\"NestedDict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"search_kwargs\",\"display_name\":\"Search Kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Construct a `MongoDB Atlas Vector Search` vector store from raw documents.\",\"base_classes\":[\"VectorStore\",\"MongoDBAtlasVectorSearch\"],\"display_name\":\"MongoDB Atlas\",\"documentation\":\"\",\"custom_fields\":{\"documents\":null,\"embedding\":null,\"collection_name\":null,\"db_name\":null,\"index_name\":null,\"mongodb_atlas_cluster_uri\":null,\"search_kwargs\":null},\"output_types\":[\"MongoDBAtlasVectorSearch\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"ChromaSearch\":{\"template\":{\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"Embedding model to vectorize inputs (make sure to use same as index)\",\"title_case\":false},\"inputs\":{\"type\":\"Text\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"inputs\",\"display_name\":\"Input\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"chroma_server_cors_allow_origins\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chroma_server_cors_allow_origins\",\"display_name\":\"Server CORS Allow Origins\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"chroma_server_grpc_port\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chroma_server_grpc_port\",\"display_name\":\"Server gRPC Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"chroma_server_host\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chroma_server_host\",\"display_name\":\"Server Host\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"chroma_server_port\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chroma_server_port\",\"display_name\":\"Server Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"chroma_server_ssl_enabled\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chroma_server_ssl_enabled\",\"display_name\":\"Server SSL Enabled\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import List, Optional\\n\\nimport chromadb  # type: ignore\\nfrom langchain_community.vectorstores.chroma import Chroma\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Embeddings, Text\\nfrom langflow.schema import Record, docs_to_records\\n\\n\\nclass ChromaSearchComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing a Vector Store using Chroma.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Chroma Search\\\"\\n    description: str = \\\"Search a Chroma collection for similar documents.\\\"\\n    beta: bool = True\\n    icon = \\\"Chroma\\\"\\n\\n    def build_config(self):\\n        \\\"\\\"\\\"\\n        Builds the configuration for the component.\\n\\n        Returns:\\n        - dict: A dictionary containing the configuration options for the component.\\n        \\\"\\\"\\\"\\n        return {\\n            \\\"inputs\\\": {\\\"display_name\\\": \\\"Input\\\"},\\n            \\\"search_type\\\": {\\n                \\\"display_name\\\": \\\"Search Type\\\",\\n                \\\"options\\\": [\\\"Similarity\\\", \\\"MMR\\\"],\\n            },\\n            \\\"collection_name\\\": {\\\"display_name\\\": \\\"Collection Name\\\", \\\"value\\\": \\\"langflow\\\"},\\n            # \\\"persist\\\": {\\\"display_name\\\": \\\"Persist\\\"},\\n            \\\"index_directory\\\": {\\\"display_name\\\": \\\"Index Directory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False, \\\"display_name\\\": \\\"Code\\\"},\\n            \\\"documents\\\": {\\\"display_name\\\": \\\"Documents\\\", \\\"is_list\\\": True},\\n            \\\"embedding\\\": {\\n                \\\"display_name\\\": \\\"Embedding\\\",\\n                \\\"info\\\": \\\"Embedding model to vectorize inputs (make sure to use same as index)\\\",\\n            },\\n            \\\"chroma_server_cors_allow_origins\\\": {\\n                \\\"display_name\\\": \\\"Server CORS Allow Origins\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"chroma_server_host\\\": {\\\"display_name\\\": \\\"Server Host\\\", \\\"advanced\\\": True},\\n            \\\"chroma_server_port\\\": {\\\"display_name\\\": \\\"Server Port\\\", \\\"advanced\\\": True},\\n            \\\"chroma_server_grpc_port\\\": {\\n                \\\"display_name\\\": \\\"Server gRPC Port\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"chroma_server_ssl_enabled\\\": {\\n                \\\"display_name\\\": \\\"Server SSL Enabled\\\",\\n                \\\"advanced\\\": True,\\n            },\\n        }\\n\\n    def build(\\n        self,\\n        inputs: Text,\\n        search_type: str,\\n        collection_name: str,\\n        embedding: Embeddings,\\n        chroma_server_ssl_enabled: bool,\\n        index_directory: Optional[str] = None,\\n        chroma_server_cors_allow_origins: Optional[str] = None,\\n        chroma_server_host: Optional[str] = None,\\n        chroma_server_port: Optional[int] = None,\\n        chroma_server_grpc_port: Optional[int] = None,\\n    ) -> List[Record]:\\n        \\\"\\\"\\\"\\n        Builds the Vector Store or BaseRetriever object.\\n\\n        Args:\\n        - collection_name (str): The name of the collection.\\n        - persist_directory (Optional[str]): The directory to persist the Vector Store to.\\n        - chroma_server_ssl_enabled (bool): Whether to enable SSL for the Chroma server.\\n        - persist (bool): Whether to persist the Vector Store or not.\\n        - embedding (Optional[Embeddings]): The embeddings to use for the Vector Store.\\n        - documents (Optional[Document]): The documents to use for the Vector Store.\\n        - chroma_server_cors_allow_origins (Optional[str]): The CORS allow origins for the Chroma server.\\n        - chroma_server_host (Optional[str]): The host for the Chroma server.\\n        - chroma_server_port (Optional[int]): The port for the Chroma server.\\n        - chroma_server_grpc_port (Optional[int]): The gRPC port for the Chroma server.\\n\\n        Returns:\\n        - Union[VectorStore, BaseRetriever]: The Vector Store or BaseRetriever object.\\n        \\\"\\\"\\\"\\n\\n        # Chroma settings\\n        chroma_settings = None\\n\\n        if chroma_server_host is not None:\\n            chroma_settings = chromadb.config.Settings(\\n                chroma_server_cors_allow_origins=chroma_server_cors_allow_origins or None,\\n                chroma_server_host=chroma_server_host,\\n                chroma_server_port=chroma_server_port or None,\\n                chroma_server_grpc_port=chroma_server_grpc_port or None,\\n                chroma_server_ssl_enabled=chroma_server_ssl_enabled,\\n            )\\n        index_directory = self.resolve_path(index_directory)\\n        chroma = Chroma(\\n            embedding_function=embedding,\\n            collection_name=collection_name,\\n            persist_directory=index_directory,\\n            client_settings=chroma_settings,\\n        )\\n\\n        # Validate the inputs\\n        docs = []\\n        if inputs and isinstance(inputs, str):\\n            docs = chroma.search(query=inputs, search_type=search_type.lower())\\n        else:\\n            raise ValueError(\\\"Invalid inputs provided.\\\")\\n        return docs_to_records(docs)\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"collection_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"langflow\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"collection_name\",\"display_name\":\"Collection Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"index_directory\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"index_directory\",\"display_name\":\"Index Directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"search_type\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"Similarity\",\"MMR\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"description\":\"Search a Chroma collection for similar documents.\",\"icon\":\"Chroma\",\"base_classes\":[\"Record\"],\"display_name\":\"Chroma Search\",\"documentation\":\"\",\"custom_fields\":{\"inputs\":null,\"search_type\":null,\"collection_name\":null,\"embedding\":null,\"chroma_server_ssl_enabled\":null,\"index_directory\":null,\"chroma_server_cors_allow_origins\":null,\"chroma_server_host\":null,\"chroma_server_port\":null,\"chroma_server_grpc_port\":null},\"output_types\":[\"Record\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"FAISS\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import List, Union\\n\\nfrom langchain.schema import BaseRetriever\\nfrom langchain_community.vectorstores import VectorStore\\nfrom langchain_community.vectorstores.faiss import FAISS\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Document, Embeddings\\n\\n\\nclass FAISSComponent(CustomComponent):\\n    display_name = \\\"FAISS\\\"\\n    description = \\\"Construct FAISS wrapper from raw documents.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/faiss\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"documents\\\": {\\\"display_name\\\": \\\"Documents\\\"},\\n            \\\"embedding\\\": {\\\"display_name\\\": \\\"Embedding\\\"},\\n        }\\n\\n    def build(\\n        self,\\n        embedding: Embeddings,\\n        documents: List[Document],\\n    ) -> Union[VectorStore, FAISS, BaseRetriever]:\\n        return FAISS.from_documents(documents=documents, embedding=embedding)\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Construct FAISS wrapper from raw documents.\",\"base_classes\":[\"Runnable\",\"FAISS\",\"Generic\",\"VectorStore\",\"RunnableSerializable\",\"Serializable\",\"object\",\"BaseRetriever\"],\"display_name\":\"FAISS\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/faiss\",\"custom_fields\":{\"embedding\":null,\"documents\":null},\"output_types\":[\"VectorStore\",\"FAISS\",\"BaseRetriever\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true}},\"models\":{\"LlamaCppModel\":{\"template\":{\"metadata\":{\"type\":\"Dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"model_kwargs\":{\"type\":\"Dict\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"model_kwargs\",\"display_name\":\"Model Kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"model_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[\".bin\"],\"file_path\":\"\",\"password\":false,\"name\":\"model_path\",\"display_name\":\"Model Path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"cache\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"cache\",\"display_name\":\"Cache\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"client\",\"display_name\":\"Client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Any, Dict, List, Optional\\n\\nfrom langchain_community.llms.llamacpp import LlamaCpp\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Text\\n\\n\\nclass LlamaCppComponent(CustomComponent):\\n    display_name = \\\"LlamaCppModel\\\"\\n    description = \\\"Generate text using llama.cpp model.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/llamacpp\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"grammar\\\": {\\\"display_name\\\": \\\"Grammar\\\", \\\"advanced\\\": True},\\n            \\\"cache\\\": {\\\"display_name\\\": \\\"Cache\\\", \\\"advanced\\\": True},\\n            \\\"client\\\": {\\\"display_name\\\": \\\"Client\\\", \\\"advanced\\\": True},\\n            \\\"echo\\\": {\\\"display_name\\\": \\\"Echo\\\", \\\"advanced\\\": True},\\n            \\\"f16_kv\\\": {\\\"display_name\\\": \\\"F16 KV\\\", \\\"advanced\\\": True},\\n            \\\"grammar_path\\\": {\\\"display_name\\\": \\\"Grammar Path\\\", \\\"advanced\\\": True},\\n            \\\"last_n_tokens_size\\\": {\\n                \\\"display_name\\\": \\\"Last N Tokens Size\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"logits_all\\\": {\\\"display_name\\\": \\\"Logits All\\\", \\\"advanced\\\": True},\\n            \\\"logprobs\\\": {\\\"display_name\\\": \\\"Logprobs\\\", \\\"advanced\\\": True},\\n            \\\"lora_base\\\": {\\\"display_name\\\": \\\"Lora Base\\\", \\\"advanced\\\": True},\\n            \\\"lora_path\\\": {\\\"display_name\\\": \\\"Lora Path\\\", \\\"advanced\\\": True},\\n            \\\"max_tokens\\\": {\\\"display_name\\\": \\\"Max Tokens\\\", \\\"advanced\\\": True},\\n            \\\"metadata\\\": {\\\"display_name\\\": \\\"Metadata\\\", \\\"advanced\\\": True},\\n            \\\"model_kwargs\\\": {\\\"display_name\\\": \\\"Model Kwargs\\\", \\\"advanced\\\": True},\\n            \\\"model_path\\\": {\\n                \\\"display_name\\\": \\\"Model Path\\\",\\n                \\\"field_type\\\": \\\"file\\\",\\n                \\\"file_types\\\": [\\\".bin\\\"],\\n                \\\"required\\\": True,\\n            },\\n            \\\"n_batch\\\": {\\\"display_name\\\": \\\"N Batch\\\", \\\"advanced\\\": True},\\n            \\\"n_ctx\\\": {\\\"display_name\\\": \\\"N Ctx\\\", \\\"advanced\\\": True},\\n            \\\"n_gpu_layers\\\": {\\\"display_name\\\": \\\"N GPU Layers\\\", \\\"advanced\\\": True},\\n            \\\"n_parts\\\": {\\\"display_name\\\": \\\"N Parts\\\", \\\"advanced\\\": True},\\n            \\\"n_threads\\\": {\\\"display_name\\\": \\\"N Threads\\\", \\\"advanced\\\": True},\\n            \\\"repeat_penalty\\\": {\\\"display_name\\\": \\\"Repeat Penalty\\\", \\\"advanced\\\": True},\\n            \\\"rope_freq_base\\\": {\\\"display_name\\\": \\\"Rope Freq Base\\\", \\\"advanced\\\": True},\\n            \\\"rope_freq_scale\\\": {\\\"display_name\\\": \\\"Rope Freq Scale\\\", \\\"advanced\\\": True},\\n            \\\"seed\\\": {\\\"display_name\\\": \\\"Seed\\\", \\\"advanced\\\": True},\\n            \\\"stop\\\": {\\\"display_name\\\": \\\"Stop\\\", \\\"advanced\\\": True},\\n            \\\"streaming\\\": {\\\"display_name\\\": \\\"Streaming\\\", \\\"advanced\\\": True},\\n            \\\"suffix\\\": {\\\"display_name\\\": \\\"Suffix\\\", \\\"advanced\\\": True},\\n            \\\"tags\\\": {\\\"display_name\\\": \\\"Tags\\\", \\\"advanced\\\": True},\\n            \\\"temperature\\\": {\\\"display_name\\\": \\\"Temperature\\\"},\\n            \\\"top_k\\\": {\\\"display_name\\\": \\\"Top K\\\", \\\"advanced\\\": True},\\n            \\\"top_p\\\": {\\\"display_name\\\": \\\"Top P\\\", \\\"advanced\\\": True},\\n            \\\"use_mlock\\\": {\\\"display_name\\\": \\\"Use Mlock\\\", \\\"advanced\\\": True},\\n            \\\"use_mmap\\\": {\\\"display_name\\\": \\\"Use Mmap\\\", \\\"advanced\\\": True},\\n            \\\"verbose\\\": {\\\"display_name\\\": \\\"Verbose\\\", \\\"advanced\\\": True},\\n            \\\"vocab_only\\\": {\\\"display_name\\\": \\\"Vocab Only\\\", \\\"advanced\\\": True},\\n            \\\"inputs\\\": {\\\"display_name\\\": \\\"Input\\\"},\\n        }\\n\\n    def build(\\n        self,\\n        model_path: str,\\n        inputs: str,\\n        grammar: Optional[str] = None,\\n        cache: Optional[bool] = None,\\n        client: Optional[Any] = None,\\n        echo: Optional[bool] = False,\\n        f16_kv: bool = True,\\n        grammar_path: Optional[str] = None,\\n        last_n_tokens_size: Optional[int] = 64,\\n        logits_all: bool = False,\\n        logprobs: Optional[int] = None,\\n        lora_base: Optional[str] = None,\\n        lora_path: Optional[str] = None,\\n        max_tokens: Optional[int] = 256,\\n        metadata: Optional[Dict] = None,\\n        model_kwargs: Dict = {},\\n        n_batch: Optional[int] = 8,\\n        n_ctx: int = 512,\\n        n_gpu_layers: Optional[int] = 1,\\n        n_parts: int = -1,\\n        n_threads: Optional[int] = 1,\\n        repeat_penalty: Optional[float] = 1.1,\\n        rope_freq_base: float = 10000.0,\\n        rope_freq_scale: float = 1.0,\\n        seed: int = -1,\\n        stop: Optional[List[str]] = [],\\n        streaming: bool = True,\\n        suffix: Optional[str] = \\\"\\\",\\n        tags: Optional[List[str]] = [],\\n        temperature: Optional[float] = 0.8,\\n        top_k: Optional[int] = 40,\\n        top_p: Optional[float] = 0.95,\\n        use_mlock: bool = False,\\n        use_mmap: Optional[bool] = True,\\n        verbose: bool = True,\\n        vocab_only: bool = False,\\n    ) -> Text:\\n        output = LlamaCpp(\\n            model_path=model_path,\\n            grammar=grammar,\\n            cache=cache,\\n            client=client,\\n            echo=echo,\\n            f16_kv=f16_kv,\\n            grammar_path=grammar_path,\\n            last_n_tokens_size=last_n_tokens_size,\\n            logits_all=logits_all,\\n            logprobs=logprobs,\\n            lora_base=lora_base,\\n            lora_path=lora_path,\\n            max_tokens=max_tokens,\\n            metadata=metadata,\\n            model_kwargs=model_kwargs,\\n            n_batch=n_batch,\\n            n_ctx=n_ctx,\\n            n_gpu_layers=n_gpu_layers,\\n            n_parts=n_parts,\\n            n_threads=n_threads,\\n            repeat_penalty=repeat_penalty,\\n            rope_freq_base=rope_freq_base,\\n            rope_freq_scale=rope_freq_scale,\\n            seed=seed,\\n            stop=stop,\\n            streaming=streaming,\\n            suffix=suffix,\\n            tags=tags,\\n            temperature=temperature,\\n            top_k=top_k,\\n            top_p=top_p,\\n            use_mlock=use_mlock,\\n            use_mmap=use_mmap,\\n            verbose=verbose,\\n            vocab_only=vocab_only,\\n        )\\n        message = output.invoke(inputs)\\n        result = message.content if hasattr(message, \\\"content\\\") else message\\n        self.status = result\\n        return result\\n        self.status = result\\n        return result\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"echo\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"echo\",\"display_name\":\"Echo\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"f16_kv\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"f16_kv\",\"display_name\":\"F16 KV\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"grammar\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"grammar\",\"display_name\":\"Grammar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"grammar_path\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"grammar_path\",\"display_name\":\"Grammar Path\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"inputs\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"inputs\",\"display_name\":\"Input\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"last_n_tokens_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":64,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"last_n_tokens_size\",\"display_name\":\"Last N Tokens Size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"logits_all\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"logits_all\",\"display_name\":\"Logits All\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"logprobs\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"logprobs\",\"display_name\":\"Logprobs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"lora_base\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"lora_base\",\"display_name\":\"Lora Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"lora_path\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"lora_path\",\"display_name\":\"Lora Path\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"max_tokens\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":256,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"max_tokens\",\"display_name\":\"Max Tokens\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"n_batch\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":8,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"n_batch\",\"display_name\":\"N Batch\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"n_ctx\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":512,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"n_ctx\",\"display_name\":\"N Ctx\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"n_gpu_layers\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"n_gpu_layers\",\"display_name\":\"N GPU Layers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"n_parts\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":-1,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"n_parts\",\"display_name\":\"N Parts\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"n_threads\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"n_threads\",\"display_name\":\"N Threads\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"repeat_penalty\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1.1,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"repeat_penalty\",\"display_name\":\"Repeat Penalty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"rope_freq_base\":{\"type\":\"float\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":10000.0,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"rope_freq_base\",\"display_name\":\"Rope Freq Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"rope_freq_scale\":{\"type\":\"float\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1.0,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"rope_freq_scale\",\"display_name\":\"Rope Freq Scale\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"seed\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":-1,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"seed\",\"display_name\":\"Seed\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"stop\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":[],\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"stop\",\"display_name\":\"Stop\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"streaming\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"streaming\",\"display_name\":\"Streaming\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"suffix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"suffix\",\"display_name\":\"Suffix\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":[],\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"display_name\":\"Tags\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.8,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"top_k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":40,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_k\",\"display_name\":\"Top K\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.95,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_p\",\"display_name\":\"Top P\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"use_mlock\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"use_mlock\",\"display_name\":\"Use Mlock\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"use_mmap\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"use_mmap\",\"display_name\":\"Use Mmap\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"verbose\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"verbose\",\"display_name\":\"Verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"vocab_only\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"vocab_only\",\"display_name\":\"Vocab Only\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Generate text using llama.cpp model.\",\"base_classes\":[\"Text\",\"object\"],\"display_name\":\"LlamaCppModel\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/llamacpp\",\"custom_fields\":{\"model_path\":null,\"inputs\":null,\"grammar\":null,\"cache\":null,\"client\":null,\"echo\":null,\"f16_kv\":null,\"grammar_path\":null,\"last_n_tokens_size\":null,\"logits_all\":null,\"logprobs\":null,\"lora_base\":null,\"lora_path\":null,\"max_tokens\":null,\"metadata\":null,\"model_kwargs\":null,\"n_batch\":null,\"n_ctx\":null,\"n_gpu_layers\":null,\"n_parts\":null,\"n_threads\":null,\"repeat_penalty\":null,\"rope_freq_base\":null,\"rope_freq_scale\":null,\"seed\":null,\"stop\":null,\"streaming\":null,\"suffix\":null,\"tags\":null,\"temperature\":null,\"top_k\":null,\"top_p\":null,\"use_mlock\":null,\"use_mmap\":null,\"verbose\":null,\"vocab_only\":null},\"output_types\":[\"Text\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"BaiduQianfanChatModel\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain_community.chat_models.baidu_qianfan_endpoint import QianfanChatEndpoint\\nfrom pydantic.v1 import SecretStr\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Text\\n\\n\\nclass QianfanChatEndpointComponent(CustomComponent):\\n    display_name: str = \\\"QianfanChat Model\\\"\\n    description: str = (\\n        \\\"Generate text using Baidu Qianfan chat models. Get more detail from \\\"\\n        \\\"https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint.\\\"\\n    )\\n\\n    def build_config(self):\\n        return {\\n            \\\"model\\\": {\\n                \\\"display_name\\\": \\\"Model Name\\\",\\n                \\\"options\\\": [\\n                    \\\"ERNIE-Bot\\\",\\n                    \\\"ERNIE-Bot-turbo\\\",\\n                    \\\"BLOOMZ-7B\\\",\\n                    \\\"Llama-2-7b-chat\\\",\\n                    \\\"Llama-2-13b-chat\\\",\\n                    \\\"Llama-2-70b-chat\\\",\\n                    \\\"Qianfan-BLOOMZ-7B-compressed\\\",\\n                    \\\"Qianfan-Chinese-Llama-2-7B\\\",\\n                    \\\"ChatGLM2-6B-32K\\\",\\n                    \\\"AquilaChat-7B\\\",\\n                ],\\n                \\\"info\\\": \\\"https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\\\",\\n                \\\"required\\\": True,\\n            },\\n            \\\"qianfan_ak\\\": {\\n                \\\"display_name\\\": \\\"Qianfan Ak\\\",\\n                \\\"required\\\": True,\\n                \\\"password\\\": True,\\n                \\\"info\\\": \\\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\\\",\\n            },\\n            \\\"qianfan_sk\\\": {\\n                \\\"display_name\\\": \\\"Qianfan Sk\\\",\\n                \\\"required\\\": True,\\n                \\\"password\\\": True,\\n                \\\"info\\\": \\\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\\\",\\n            },\\n            \\\"top_p\\\": {\\n                \\\"display_name\\\": \\\"Top p\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n                \\\"value\\\": 0.8,\\n            },\\n            \\\"temperature\\\": {\\n                \\\"display_name\\\": \\\"Temperature\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n                \\\"value\\\": 0.95,\\n            },\\n            \\\"penalty_score\\\": {\\n                \\\"display_name\\\": \\\"Penalty Score\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n                \\\"value\\\": 1.0,\\n            },\\n            \\\"endpoint\\\": {\\n                \\\"display_name\\\": \\\"Endpoint\\\",\\n                \\\"info\\\": \\\"Endpoint of the Qianfan LLM, required if custom model used.\\\",\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n            \\\"inputs\\\": {\\\"display_name\\\": \\\"Input\\\"},\\n        }\\n\\n    def build(\\n        self,\\n        inputs: str,\\n        model: str = \\\"ERNIE-Bot-turbo\\\",\\n        qianfan_ak: Optional[str] = None,\\n        qianfan_sk: Optional[str] = None,\\n        top_p: Optional[float] = None,\\n        temperature: Optional[float] = None,\\n        penalty_score: Optional[float] = None,\\n        endpoint: Optional[str] = None,\\n    ) -> Text:\\n        try:\\n            output = QianfanChatEndpoint(  # type: ignore\\n                model=model,\\n                qianfan_ak=SecretStr(qianfan_ak) if qianfan_ak else None,\\n                qianfan_sk=SecretStr(qianfan_sk) if qianfan_sk else None,\\n                top_p=top_p,\\n                temperature=temperature,\\n                penalty_score=penalty_score,\\n                endpoint=endpoint,\\n            )\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to Baidu Qianfan API.\\\") from e\\n        message = output.invoke(inputs)\\n        result = message.content if hasattr(message, \\\"content\\\") else message\\n        self.status = result\\n        return result\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"endpoint\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"endpoint\",\"display_name\":\"Endpoint\",\"advanced\":false,\"dynamic\":false,\"info\":\"Endpoint of the Qianfan LLM, required if custom model used.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"inputs\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"inputs\",\"display_name\":\"Input\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"model\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"ERNIE-Bot-turbo\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"ERNIE-Bot\",\"ERNIE-Bot-turbo\",\"BLOOMZ-7B\",\"Llama-2-7b-chat\",\"Llama-2-13b-chat\",\"Llama-2-70b-chat\",\"Qianfan-BLOOMZ-7B-compressed\",\"Qianfan-Chinese-Llama-2-7B\",\"ChatGLM2-6B-32K\",\"AquilaChat-7B\"],\"name\":\"model\",\"display_name\":\"Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\",\"title_case\":false,\"input_types\":[\"Text\"]},\"penalty_score\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1.0,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"penalty_score\",\"display_name\":\"Penalty Score\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"qianfan_ak\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"qianfan_ak\",\"display_name\":\"Qianfan Ak\",\"advanced\":false,\"dynamic\":false,\"info\":\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\",\"title_case\":false,\"input_types\":[\"Text\"]},\"qianfan_sk\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"qianfan_sk\",\"display_name\":\"Qianfan Sk\",\"advanced\":false,\"dynamic\":false,\"info\":\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\",\"title_case\":false,\"input_types\":[\"Text\"]},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.95,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.8,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_p\",\"display_name\":\"Top p\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Generate text using Baidu Qianfan chat models. Get more detail from https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint.\",\"base_classes\":[\"Text\",\"object\"],\"display_name\":\"QianfanChat Model\",\"documentation\":\"\",\"custom_fields\":{\"inputs\":null,\"model\":null,\"qianfan_ak\":null,\"qianfan_sk\":null,\"top_p\":null,\"temperature\":null,\"penalty_score\":null,\"endpoint\":null},\"output_types\":[\"Text\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"GoogleGenerativeAIModel\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain_google_genai import ChatGoogleGenerativeAI  # type: ignore\\nfrom pydantic.v1.types import SecretStr\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import RangeSpec, Text\\n\\n\\nclass GoogleGenerativeAIComponent(CustomComponent):\\n    display_name: str = \\\"Google Generative AIModel\\\"\\n    description: str = \\\"Generate text using Google Generative AI to generate text.\\\"\\n    documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"google_api_key\\\": {\\n                \\\"display_name\\\": \\\"Google API Key\\\",\\n                \\\"info\\\": \\\"The Google API Key to use for the Google Generative AI.\\\",\\n            },\\n            \\\"max_output_tokens\\\": {\\n                \\\"display_name\\\": \\\"Max Output Tokens\\\",\\n                \\\"info\\\": \\\"The maximum number of tokens to generate.\\\",\\n            },\\n            \\\"temperature\\\": {\\n                \\\"display_name\\\": \\\"Temperature\\\",\\n                \\\"info\\\": \\\"Run inference with this temperature. Must by in the closed interval [0.0, 1.0].\\\",\\n            },\\n            \\\"top_k\\\": {\\n                \\\"display_name\\\": \\\"Top K\\\",\\n                \\\"info\\\": \\\"Decode using top-k sampling: consider the set of top_k most probable tokens. Must be positive.\\\",\\n                \\\"range_spec\\\": RangeSpec(min=0, max=2, step=0.1),\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"top_p\\\": {\\n                \\\"display_name\\\": \\\"Top P\\\",\\n                \\\"info\\\": \\\"The maximum cumulative probability of tokens to consider when sampling.\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"n\\\": {\\n                \\\"display_name\\\": \\\"N\\\",\\n                \\\"info\\\": \\\"Number of chat completions to generate for each prompt. Note that the API may not return the full n completions if duplicates are generated.\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"model\\\": {\\n                \\\"display_name\\\": \\\"Model\\\",\\n                \\\"info\\\": \\\"The name of the model to use. Supported examples: gemini-pro\\\",\\n                \\\"options\\\": [\\\"gemini-pro\\\", \\\"gemini-pro-vision\\\"],\\n            },\\n            \\\"code\\\": {\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"inputs\\\": {\\\"display_name\\\": \\\"Input\\\"},\\n        }\\n\\n    def build(\\n        self,\\n        google_api_key: str,\\n        model: str,\\n        inputs: str,\\n        max_output_tokens: Optional[int] = None,\\n        temperature: float = 0.1,\\n        top_k: Optional[int] = None,\\n        top_p: Optional[float] = None,\\n        n: Optional[int] = 1,\\n    ) -> Text:\\n        output = ChatGoogleGenerativeAI(\\n            model=model,\\n            max_output_tokens=max_output_tokens or None,  # type: ignore\\n            temperature=temperature,\\n            top_k=top_k or None,\\n            top_p=top_p or None,  # type: ignore\\n            n=n or 1,\\n            google_api_key=SecretStr(google_api_key),\\n        )\\n        message = output.invoke(inputs)\\n        result = message.content if hasattr(message, \\\"content\\\") else message\\n        self.status = result\\n        return result\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"google_api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"google_api_key\",\"display_name\":\"Google API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The Google API Key to use for the Google Generative AI.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"inputs\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"inputs\",\"display_name\":\"Input\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"max_output_tokens\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"max_output_tokens\",\"display_name\":\"Max Output Tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"The maximum number of tokens to generate.\",\"title_case\":false},\"model\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"gemini-pro\",\"gemini-pro-vision\"],\"name\":\"model\",\"display_name\":\"Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"The name of the model to use. Supported examples: gemini-pro\",\"title_case\":false,\"input_types\":[\"Text\"]},\"n\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"n\",\"display_name\":\"N\",\"advanced\":true,\"dynamic\":false,\"info\":\"Number of chat completions to generate for each prompt. Note that the API may not return the full n completions if duplicates are generated.\",\"title_case\":false},\"temperature\":{\"type\":\"float\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.1,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"Run inference with this temperature. Must by in the closed interval [0.0, 1.0].\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"top_k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_k\",\"display_name\":\"Top K\",\"advanced\":true,\"dynamic\":false,\"info\":\"Decode using top-k sampling: consider the set of top_k most probable tokens. Must be positive.\",\"rangeSpec\":{\"min\":0.0,\"max\":2.0,\"step\":0.1},\"title_case\":false},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_p\",\"display_name\":\"Top P\",\"advanced\":true,\"dynamic\":false,\"info\":\"The maximum cumulative probability of tokens to consider when sampling.\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Generate text using Google Generative AI to generate text.\",\"base_classes\":[\"Text\",\"object\"],\"display_name\":\"Google Generative AIModel\",\"documentation\":\"http://docs.langflow.org/components/custom\",\"custom_fields\":{\"google_api_key\":null,\"model\":null,\"inputs\":null,\"max_output_tokens\":null,\"temperature\":null,\"top_k\":null,\"top_p\":null,\"n\":null},\"output_types\":[\"Text\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"CTransformersModel\":{\"template\":{\"model_file\":{\"type\":\"file\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[\".bin\"],\"file_path\":\"\",\"password\":false,\"name\":\"model_file\",\"display_name\":\"Model File\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Dict, Optional\\n\\nfrom langchain_community.llms.ctransformers import CTransformers\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Text\\n\\n\\nclass CTransformersComponent(CustomComponent):\\n    display_name = \\\"CTransformersModel\\\"\\n    description = \\\"Generate text using CTransformers LLM models\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/ctransformers\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"model\\\": {\\\"display_name\\\": \\\"Model\\\", \\\"required\\\": True},\\n            \\\"model_file\\\": {\\n                \\\"display_name\\\": \\\"Model File\\\",\\n                \\\"required\\\": False,\\n                \\\"field_type\\\": \\\"file\\\",\\n                \\\"file_types\\\": [\\\".bin\\\"],\\n            },\\n            \\\"model_type\\\": {\\\"display_name\\\": \\\"Model Type\\\", \\\"required\\\": True},\\n            \\\"config\\\": {\\n                \\\"display_name\\\": \\\"Config\\\",\\n                \\\"advanced\\\": True,\\n                \\\"required\\\": False,\\n                \\\"field_type\\\": \\\"dict\\\",\\n                \\\"value\\\": '{\\\"top_k\\\":40,\\\"top_p\\\":0.95,\\\"temperature\\\":0.8,\\\"repetition_penalty\\\":1.1,\\\"last_n_tokens\\\":64,\\\"seed\\\":-1,\\\"max_new_tokens\\\":256,\\\"stop\\\":\\\"\\\",\\\"stream\\\":\\\"False\\\",\\\"reset\\\":\\\"True\\\",\\\"batch_size\\\":8,\\\"threads\\\":-1,\\\"context_length\\\":-1,\\\"gpu_layers\\\":0}',\\n            },\\n            \\\"inputs\\\": {\\\"display_name\\\": \\\"Input\\\"},\\n        }\\n\\n    def build(\\n        self,\\n        model: str,\\n        model_file: str,\\n        inputs: str,\\n        model_type: str,\\n        config: Optional[Dict] = None,\\n    ) -> Text:\\n        output = CTransformers(model=model, model_file=model_file, model_type=model_type, config=config)\\n        message = output.invoke(inputs)\\n        result = message.content if hasattr(message, \\\"content\\\") else message\\n        self.status = result\\n        return result\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"config\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{\\\"top_k\\\":40,\\\"top_p\\\":0.95,\\\"temperature\\\":0.8,\\\"repetition_penalty\\\":1.1,\\\"last_n_tokens\\\":64,\\\"seed\\\":-1,\\\"max_new_tokens\\\":256,\\\"stop\\\":\\\"\\\",\\\"stream\\\":\\\"False\\\",\\\"reset\\\":\\\"True\\\",\\\"batch_size\\\":8,\\\"threads\\\":-1,\\\"context_length\\\":-1,\\\"gpu_layers\\\":0}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"config\",\"display_name\":\"Config\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"inputs\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"inputs\",\"display_name\":\"Input\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"model\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"model\",\"display_name\":\"Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"model_type\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"model_type\",\"display_name\":\"Model Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"description\":\"Generate text using CTransformers LLM models\",\"base_classes\":[\"Text\",\"object\"],\"display_name\":\"CTransformersModel\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/ctransformers\",\"custom_fields\":{\"model\":null,\"model_file\":null,\"inputs\":null,\"model_type\":null,\"config\":null},\"output_types\":[\"Text\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"VertexAiModel\":{\"template\":{\"credentials\":{\"type\":\"file\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[\".json\"],\"password\":false,\"name\":\"credentials\",\"display_name\":\"Credentials\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"examples\":{\"type\":\"BaseMessage\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":true,\"value\":[],\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"examples\",\"display_name\":\"Examples\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import List, Optional\\n\\nfrom langchain_core.messages.base import BaseMessage\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Text\\n\\n\\nclass ChatVertexAIComponent(CustomComponent):\\n    display_name = \\\"ChatVertexAIModel\\\"\\n    description = \\\"Generate text using Vertex AI Chat large language models API.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"credentials\\\": {\\n                \\\"display_name\\\": \\\"Credentials\\\",\\n                \\\"field_type\\\": \\\"file\\\",\\n                \\\"file_types\\\": [\\\".json\\\"],\\n                \\\"file_path\\\": None,\\n            },\\n            \\\"examples\\\": {\\n                \\\"display_name\\\": \\\"Examples\\\",\\n                \\\"multiline\\\": True,\\n            },\\n            \\\"location\\\": {\\n                \\\"display_name\\\": \\\"Location\\\",\\n                \\\"value\\\": \\\"us-central1\\\",\\n            },\\n            \\\"max_output_tokens\\\": {\\n                \\\"display_name\\\": \\\"Max Output Tokens\\\",\\n                \\\"value\\\": 128,\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"model_name\\\": {\\n                \\\"display_name\\\": \\\"Model Name\\\",\\n                \\\"value\\\": \\\"chat-bison\\\",\\n            },\\n            \\\"project\\\": {\\n                \\\"display_name\\\": \\\"Project\\\",\\n            },\\n            \\\"temperature\\\": {\\n                \\\"display_name\\\": \\\"Temperature\\\",\\n                \\\"value\\\": 0.0,\\n            },\\n            \\\"top_k\\\": {\\n                \\\"display_name\\\": \\\"Top K\\\",\\n                \\\"value\\\": 40,\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"top_p\\\": {\\n                \\\"display_name\\\": \\\"Top P\\\",\\n                \\\"value\\\": 0.95,\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"verbose\\\": {\\n                \\\"display_name\\\": \\\"Verbose\\\",\\n                \\\"value\\\": False,\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"inputs\\\": {\\\"display_name\\\": \\\"Input\\\"},\\n        }\\n\\n    def build(\\n        self,\\n        inputs: str,\\n        credentials: Optional[str],\\n        project: str,\\n        examples: Optional[List[BaseMessage]] = [],\\n        location: str = \\\"us-central1\\\",\\n        max_output_tokens: int = 128,\\n        model_name: str = \\\"chat-bison\\\",\\n        temperature: float = 0.0,\\n        top_k: int = 40,\\n        top_p: float = 0.95,\\n        verbose: bool = False,\\n    ) -> Text:\\n        try:\\n            from langchain_google_vertexai import ChatVertexAI\\n        except ImportError:\\n            raise ImportError(\\n                \\\"To use the ChatVertexAI model, you need to install the langchain-google-vertexai package.\\\"\\n            )\\n        output = ChatVertexAI(\\n            credentials=credentials,\\n            examples=examples,\\n            location=location,\\n            max_output_tokens=max_output_tokens,\\n            model_name=model_name,\\n            project=project,\\n            temperature=temperature,\\n            top_k=top_k,\\n            top_p=top_p,\\n            verbose=verbose,\\n        )\\n        message = output.invoke(inputs)\\n        result = message.content if hasattr(message, \\\"content\\\") else message\\n        self.status = result\\n        return result\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"inputs\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"inputs\",\"display_name\":\"Input\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"location\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"us-central1\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"location\",\"display_name\":\"Location\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"max_output_tokens\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":128,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"max_output_tokens\",\"display_name\":\"Max Output Tokens\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"model_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"chat-bison\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"model_name\",\"display_name\":\"Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"project\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"project\",\"display_name\":\"Project\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"temperature\":{\"type\":\"float\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.0,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"top_k\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":40,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_k\",\"display_name\":\"Top K\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"top_p\":{\"type\":\"float\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.95,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_p\",\"display_name\":\"Top P\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"verbose\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"verbose\",\"display_name\":\"Verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Generate text using Vertex AI Chat large language models API.\",\"base_classes\":[\"Text\",\"object\"],\"display_name\":\"ChatVertexAIModel\",\"documentation\":\"\",\"custom_fields\":{\"inputs\":null,\"credentials\":null,\"project\":null,\"examples\":null,\"location\":null,\"max_output_tokens\":null,\"model_name\":null,\"temperature\":null,\"top_k\":null,\"top_p\":null,\"verbose\":null},\"output_types\":[\"Text\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"OllamaModel\":{\"template\":{\"metadata\":{\"type\":\"Dict[str, Any]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":true,\"dynamic\":false,\"info\":\"Metadata to add to the run trace.\",\"title_case\":false},\"stop\":{\"type\":\"list\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"stop\",\"display_name\":\"Stop Tokens\",\"advanced\":true,\"dynamic\":false,\"info\":\"List of tokens to signal the model to stop generating text.\",\"title_case\":false},\"tags\":{\"type\":\"list\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"display_name\":\"Tags\",\"advanced\":true,\"dynamic\":false,\"info\":\"Tags to add to the run trace.\",\"title_case\":false},\"base_url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"base_url\",\"display_name\":\"Base URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"Endpoint of the Ollama API. Defaults to 'http://localhost:11434' if not specified.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"cache\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"cache\",\"display_name\":\"Cache\",\"advanced\":true,\"dynamic\":false,\"info\":\"Enable or disable caching.\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Any, Dict, List, Optional\\n\\n# from langchain_community.chat_models import ChatOllama\\nfrom langchain_community.chat_models import ChatOllama\\n\\n# from langchain.chat_models import ChatOllama\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Text\\n\\n# whe When a callback component is added to Langflow, the comment must be uncommented.\\n# from langchain.callbacks.manager import CallbackManager\\n\\n\\nclass ChatOllamaComponent(CustomComponent):\\n    display_name = \\\"ChatOllamaModel\\\"\\n    description = \\\"Generate text using Local LLM for chat with Ollama.\\\"\\n\\n    def build_config(self) -> dict:\\n        return {\\n            \\\"base_url\\\": {\\n                \\\"display_name\\\": \\\"Base URL\\\",\\n                \\\"info\\\": \\\"Endpoint of the Ollama API. Defaults to 'http://localhost:11434' if not specified.\\\",\\n            },\\n            \\\"model\\\": {\\n                \\\"display_name\\\": \\\"Model Name\\\",\\n                \\\"value\\\": \\\"llama2\\\",\\n                \\\"info\\\": \\\"Refer to https://ollama.ai/library for more models.\\\",\\n            },\\n            \\\"temperature\\\": {\\n                \\\"display_name\\\": \\\"Temperature\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"value\\\": 0.8,\\n                \\\"info\\\": \\\"Controls the creativity of model responses.\\\",\\n            },\\n            \\\"cache\\\": {\\n                \\\"display_name\\\": \\\"Cache\\\",\\n                \\\"field_type\\\": \\\"bool\\\",\\n                \\\"info\\\": \\\"Enable or disable caching.\\\",\\n                \\\"advanced\\\": True,\\n                \\\"value\\\": False,\\n            },\\n            ### When a callback component is added to Langflow, the comment must be uncommented. ###\\n            # \\\"callback_manager\\\": {\\n            #     \\\"display_name\\\": \\\"Callback Manager\\\",\\n            #     \\\"info\\\": \\\"Optional callback manager for additional functionality.\\\",\\n            #     \\\"advanced\\\": True,\\n            # },\\n            # \\\"callbacks\\\": {\\n            #     \\\"display_name\\\": \\\"Callbacks\\\",\\n            #     \\\"info\\\": \\\"Callbacks to execute during model runtime.\\\",\\n            #     \\\"advanced\\\": True,\\n            # },\\n            ########################################################################################\\n            \\\"format\\\": {\\n                \\\"display_name\\\": \\\"Format\\\",\\n                \\\"field_type\\\": \\\"str\\\",\\n                \\\"info\\\": \\\"Specify the format of the output (e.g., json).\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"metadata\\\": {\\n                \\\"display_name\\\": \\\"Metadata\\\",\\n                \\\"info\\\": \\\"Metadata to add to the run trace.\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"mirostat\\\": {\\n                \\\"display_name\\\": \\\"Mirostat\\\",\\n                \\\"options\\\": [\\\"Disabled\\\", \\\"Mirostat\\\", \\\"Mirostat 2.0\\\"],\\n                \\\"info\\\": \\\"Enable/disable Mirostat sampling for controlling perplexity.\\\",\\n                \\\"value\\\": \\\"Disabled\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"mirostat_eta\\\": {\\n                \\\"display_name\\\": \\\"Mirostat Eta\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Learning rate for Mirostat algorithm. (Default: 0.1)\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"mirostat_tau\\\": {\\n                \\\"display_name\\\": \\\"Mirostat Tau\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Controls the balance between coherence and diversity of the output. (Default: 5.0)\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"num_ctx\\\": {\\n                \\\"display_name\\\": \\\"Context Window Size\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"info\\\": \\\"Size of the context window for generating tokens. (Default: 2048)\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"num_gpu\\\": {\\n                \\\"display_name\\\": \\\"Number of GPUs\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"info\\\": \\\"Number of GPUs to use for computation. (Default: 1 on macOS, 0 to disable)\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"num_thread\\\": {\\n                \\\"display_name\\\": \\\"Number of Threads\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"info\\\": \\\"Number of threads to use during computation. (Default: detected for optimal performance)\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"repeat_last_n\\\": {\\n                \\\"display_name\\\": \\\"Repeat Last N\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"info\\\": \\\"How far back the model looks to prevent repetition. (Default: 64, 0 = disabled, -1 = num_ctx)\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"repeat_penalty\\\": {\\n                \\\"display_name\\\": \\\"Repeat Penalty\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Penalty for repetitions in generated text. (Default: 1.1)\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"tfs_z\\\": {\\n                \\\"display_name\\\": \\\"TFS Z\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Tail free sampling value. (Default: 1)\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"timeout\\\": {\\n                \\\"display_name\\\": \\\"Timeout\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"info\\\": \\\"Timeout for the request stream.\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"top_k\\\": {\\n                \\\"display_name\\\": \\\"Top K\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"info\\\": \\\"Limits token selection to top K. (Default: 40)\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"top_p\\\": {\\n                \\\"display_name\\\": \\\"Top P\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Works together with top-k. (Default: 0.9)\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"verbose\\\": {\\n                \\\"display_name\\\": \\\"Verbose\\\",\\n                \\\"field_type\\\": \\\"bool\\\",\\n                \\\"info\\\": \\\"Whether to print out response text.\\\",\\n            },\\n            \\\"tags\\\": {\\n                \\\"display_name\\\": \\\"Tags\\\",\\n                \\\"field_type\\\": \\\"list\\\",\\n                \\\"info\\\": \\\"Tags to add to the run trace.\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"stop\\\": {\\n                \\\"display_name\\\": \\\"Stop Tokens\\\",\\n                \\\"field_type\\\": \\\"list\\\",\\n                \\\"info\\\": \\\"List of tokens to signal the model to stop generating text.\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"system\\\": {\\n                \\\"display_name\\\": \\\"System\\\",\\n                \\\"field_type\\\": \\\"str\\\",\\n                \\\"info\\\": \\\"System to use for generating text.\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"template\\\": {\\n                \\\"display_name\\\": \\\"Template\\\",\\n                \\\"field_type\\\": \\\"str\\\",\\n                \\\"info\\\": \\\"Template to use for generating text.\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"inputs\\\": {\\\"display_name\\\": \\\"Input\\\"},\\n        }\\n\\n    def build(\\n        self,\\n        base_url: Optional[str],\\n        model: str,\\n        inputs: str,\\n        mirostat: Optional[str],\\n        mirostat_eta: Optional[float] = None,\\n        mirostat_tau: Optional[float] = None,\\n        ### When a callback component is added to Langflow, the comment must be uncommented.###\\n        # callback_manager: Optional[CallbackManager] = None,\\n        # callbacks: Optional[List[Callbacks]] = None,\\n        #######################################################################################\\n        repeat_last_n: Optional[int] = None,\\n        verbose: Optional[bool] = None,\\n        cache: Optional[bool] = None,\\n        num_ctx: Optional[int] = None,\\n        num_gpu: Optional[int] = None,\\n        format: Optional[str] = None,\\n        metadata: Optional[Dict[str, Any]] = None,\\n        num_thread: Optional[int] = None,\\n        repeat_penalty: Optional[float] = None,\\n        stop: Optional[List[str]] = None,\\n        system: Optional[str] = None,\\n        tags: Optional[List[str]] = None,\\n        temperature: Optional[float] = None,\\n        template: Optional[str] = None,\\n        tfs_z: Optional[float] = None,\\n        timeout: Optional[int] = None,\\n        top_k: Optional[int] = None,\\n        top_p: Optional[int] = None,\\n    ) -> Text:\\n        if not base_url:\\n            base_url = \\\"http://localhost:11434\\\"\\n\\n        # Mapping mirostat settings to their corresponding values\\n        mirostat_options = {\\\"Mirostat\\\": 1, \\\"Mirostat 2.0\\\": 2}\\n\\n        # Default to 0 for 'Disabled'\\n        mirostat_value = mirostat_options.get(mirostat, 0)  # type: ignore\\n\\n        # Set mirostat_eta and mirostat_tau to None if mirostat is disabled\\n        if mirostat_value == 0:\\n            mirostat_eta = None\\n            mirostat_tau = None\\n\\n        # Mapping system settings to their corresponding values\\n        llm_params = {\\n            \\\"base_url\\\": base_url,\\n            \\\"cache\\\": cache,\\n            \\\"model\\\": model,\\n            \\\"mirostat\\\": mirostat_value,\\n            \\\"format\\\": format,\\n            \\\"metadata\\\": metadata,\\n            \\\"tags\\\": tags,\\n            ## When a callback component is added to Langflow, the comment must be uncommented.##\\n            # \\\"callback_manager\\\": callback_manager,\\n            # \\\"callbacks\\\": callbacks,\\n            #####################################################################################\\n            \\\"mirostat_eta\\\": mirostat_eta,\\n            \\\"mirostat_tau\\\": mirostat_tau,\\n            \\\"num_ctx\\\": num_ctx,\\n            \\\"num_gpu\\\": num_gpu,\\n            \\\"num_thread\\\": num_thread,\\n            \\\"repeat_last_n\\\": repeat_last_n,\\n            \\\"repeat_penalty\\\": repeat_penalty,\\n            \\\"temperature\\\": temperature,\\n            \\\"stop\\\": stop,\\n            \\\"system\\\": system,\\n            \\\"template\\\": template,\\n            \\\"tfs_z\\\": tfs_z,\\n            \\\"timeout\\\": timeout,\\n            \\\"top_k\\\": top_k,\\n            \\\"top_p\\\": top_p,\\n            \\\"verbose\\\": verbose,\\n        }\\n\\n        # None Value remove\\n        llm_params = {k: v for k, v in llm_params.items() if v is not None}\\n\\n        try:\\n            output = ChatOllama(**llm_params)  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not initialize Ollama LLM.\\\") from e\\n        message = output.invoke(inputs)\\n        result = message.content if hasattr(message, \\\"content\\\") else message\\n        self.status = result\\n        return result\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"format\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"format\",\"display_name\":\"Format\",\"advanced\":true,\"dynamic\":false,\"info\":\"Specify the format of the output (e.g., json).\",\"title_case\":false,\"input_types\":[\"Text\"]},\"inputs\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"inputs\",\"display_name\":\"Input\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"mirostat\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"Disabled\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"Disabled\",\"Mirostat\",\"Mirostat 2.0\"],\"name\":\"mirostat\",\"display_name\":\"Mirostat\",\"advanced\":true,\"dynamic\":false,\"info\":\"Enable/disable Mirostat sampling for controlling perplexity.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"mirostat_eta\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"mirostat_eta\",\"display_name\":\"Mirostat Eta\",\"advanced\":true,\"dynamic\":false,\"info\":\"Learning rate for Mirostat algorithm. (Default: 0.1)\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"mirostat_tau\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"mirostat_tau\",\"display_name\":\"Mirostat Tau\",\"advanced\":true,\"dynamic\":false,\"info\":\"Controls the balance between coherence and diversity of the output. (Default: 5.0)\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"model\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"llama2\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"model\",\"display_name\":\"Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"Refer to https://ollama.ai/library for more models.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"num_ctx\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"num_ctx\",\"display_name\":\"Context Window Size\",\"advanced\":true,\"dynamic\":false,\"info\":\"Size of the context window for generating tokens. (Default: 2048)\",\"title_case\":false},\"num_gpu\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"num_gpu\",\"display_name\":\"Number of GPUs\",\"advanced\":true,\"dynamic\":false,\"info\":\"Number of GPUs to use for computation. (Default: 1 on macOS, 0 to disable)\",\"title_case\":false},\"num_thread\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"num_thread\",\"display_name\":\"Number of Threads\",\"advanced\":true,\"dynamic\":false,\"info\":\"Number of threads to use during computation. (Default: detected for optimal performance)\",\"title_case\":false},\"repeat_last_n\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"repeat_last_n\",\"display_name\":\"Repeat Last N\",\"advanced\":true,\"dynamic\":false,\"info\":\"How far back the model looks to prevent repetition. (Default: 64, 0 = disabled, -1 = num_ctx)\",\"title_case\":false},\"repeat_penalty\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"repeat_penalty\",\"display_name\":\"Repeat Penalty\",\"advanced\":true,\"dynamic\":false,\"info\":\"Penalty for repetitions in generated text. (Default: 1.1)\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"system\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"system\",\"display_name\":\"System\",\"advanced\":true,\"dynamic\":false,\"info\":\"System to use for generating text.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.8,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"Controls the creativity of model responses.\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"template\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"template\",\"display_name\":\"Template\",\"advanced\":true,\"dynamic\":false,\"info\":\"Template to use for generating text.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"tfs_z\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tfs_z\",\"display_name\":\"TFS Z\",\"advanced\":true,\"dynamic\":false,\"info\":\"Tail free sampling value. (Default: 1)\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"timeout\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"timeout\",\"display_name\":\"Timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"Timeout for the request stream.\",\"title_case\":false},\"top_k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_k\",\"display_name\":\"Top K\",\"advanced\":true,\"dynamic\":false,\"info\":\"Limits token selection to top K. (Default: 40)\",\"title_case\":false},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_p\",\"display_name\":\"Top P\",\"advanced\":true,\"dynamic\":false,\"info\":\"Works together with top-k. (Default: 0.9)\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"verbose\",\"display_name\":\"Verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"Whether to print out response text.\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Generate text using Local LLM for chat with Ollama.\",\"base_classes\":[\"Text\",\"object\"],\"display_name\":\"ChatOllamaModel\",\"documentation\":\"\",\"custom_fields\":{\"base_url\":null,\"model\":null,\"inputs\":null,\"mirostat\":null,\"mirostat_eta\":null,\"mirostat_tau\":null,\"repeat_last_n\":null,\"verbose\":null,\"cache\":null,\"num_ctx\":null,\"num_gpu\":null,\"format\":null,\"metadata\":null,\"num_thread\":null,\"repeat_penalty\":null,\"stop\":null,\"system\":null,\"tags\":null,\"temperature\":null,\"template\":null,\"tfs_z\":null,\"timeout\":null,\"top_k\":null,\"top_p\":null},\"output_types\":[\"Text\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"AnthropicModel\":{\"template\":{\"anthropic_api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"anthropic_api_key\",\"display_name\":\"Anthropic API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"Your Anthropic API key.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"api_endpoint\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"api_endpoint\",\"display_name\":\"API Endpoint\",\"advanced\":false,\"dynamic\":false,\"info\":\"Endpoint of the Anthropic API. Defaults to 'https://api.anthropic.com' if not specified.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain_community.chat_models.anthropic import ChatAnthropic\\nfrom pydantic.v1 import SecretStr\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Text\\n\\n\\nclass AnthropicLLM(CustomComponent):\\n    display_name: str = \\\"AnthropicModel\\\"\\n    description: str = \\\"Generate text using Anthropic Chat&Completion large language models.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"model\\\": {\\n                \\\"display_name\\\": \\\"Model Name\\\",\\n                \\\"options\\\": [\\n                    \\\"claude-2.1\\\",\\n                    \\\"claude-2.0\\\",\\n                    \\\"claude-instant-1.2\\\",\\n                    \\\"claude-instant-1\\\",\\n                    # Add more models as needed\\n                ],\\n                \\\"info\\\": \\\"https://python.langchain.com/docs/integrations/chat/anthropic\\\",\\n                \\\"required\\\": True,\\n                \\\"value\\\": \\\"claude-2.1\\\",\\n            },\\n            \\\"anthropic_api_key\\\": {\\n                \\\"display_name\\\": \\\"Anthropic API Key\\\",\\n                \\\"required\\\": True,\\n                \\\"password\\\": True,\\n                \\\"info\\\": \\\"Your Anthropic API key.\\\",\\n            },\\n            \\\"max_tokens\\\": {\\n                \\\"display_name\\\": \\\"Max Tokens\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 256,\\n            },\\n            \\\"temperature\\\": {\\n                \\\"display_name\\\": \\\"Temperature\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"value\\\": 0.7,\\n            },\\n            \\\"api_endpoint\\\": {\\n                \\\"display_name\\\": \\\"API Endpoint\\\",\\n                \\\"info\\\": \\\"Endpoint of the Anthropic API. Defaults to 'https://api.anthropic.com' if not specified.\\\",\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n            \\\"inputs\\\": {\\\"display_name\\\": \\\"Input\\\"},\\n        }\\n\\n    def build(\\n        self,\\n        model: str,\\n        inputs: str,\\n        anthropic_api_key: Optional[str] = None,\\n        max_tokens: Optional[int] = None,\\n        temperature: Optional[float] = None,\\n        api_endpoint: Optional[str] = None,\\n    ) -> Text:\\n        # Set default API endpoint if not provided\\n        if not api_endpoint:\\n            api_endpoint = \\\"https://api.anthropic.com\\\"\\n\\n        try:\\n            output = ChatAnthropic(\\n                model_name=model,\\n                anthropic_api_key=(SecretStr(anthropic_api_key) if anthropic_api_key else None),\\n                max_tokens_to_sample=max_tokens,  # type: ignore\\n                temperature=temperature,\\n                anthropic_api_url=api_endpoint,\\n            )\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to Anthropic API.\\\") from e\\n        message = output.invoke(inputs)\\n        result = message.content if hasattr(message, \\\"content\\\") else message\\n        self.status = result\\n        return result\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"inputs\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"inputs\",\"display_name\":\"Input\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"max_tokens\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":256,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"max_tokens\",\"display_name\":\"Max Tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"model\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"claude-2.1\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"claude-2.1\",\"claude-2.0\",\"claude-instant-1.2\",\"claude-instant-1\"],\"name\":\"model\",\"display_name\":\"Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"https://python.langchain.com/docs/integrations/chat/anthropic\",\"title_case\":false,\"input_types\":[\"Text\"]},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.7,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Generate text using Anthropic Chat&Completion large language models.\",\"base_classes\":[\"Text\",\"object\"],\"display_name\":\"AnthropicModel\",\"documentation\":\"\",\"custom_fields\":{\"model\":null,\"inputs\":null,\"anthropic_api_key\":null,\"max_tokens\":null,\"temperature\":null,\"api_endpoint\":null},\"output_types\":[\"Text\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"OpenAIModel\":{\"template\":{\"inputs\":{\"type\":\"Text\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"inputs\",\"display_name\":\"Input\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain_openai import ChatOpenAI\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import NestedDict, Text\\n\\n\\nclass OpenAIModelComponent(CustomComponent):\\n    display_name = \\\"OpenAI Model\\\"\\n    description = \\\"Generates text using OpenAI's models.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"inputs\\\": {\\\"display_name\\\": \\\"Input\\\"},\\n            \\\"max_tokens\\\": {\\n                \\\"display_name\\\": \\\"Max Tokens\\\",\\n                \\\"advanced\\\": False,\\n                \\\"required\\\": False,\\n            },\\n            \\\"model_kwargs\\\": {\\n                \\\"display_name\\\": \\\"Model Kwargs\\\",\\n                \\\"advanced\\\": True,\\n                \\\"required\\\": False,\\n            },\\n            \\\"model_name\\\": {\\n                \\\"display_name\\\": \\\"Model Name\\\",\\n                \\\"advanced\\\": False,\\n                \\\"required\\\": False,\\n                \\\"options\\\": [\\n                    \\\"gpt-4-turbo-preview\\\",\\n                    \\\"gpt-4-0125-preview\\\",\\n                    \\\"gpt-4-1106-preview\\\",\\n                    \\\"gpt-4-vision-preview\\\",\\n                    \\\"gpt-3.5-turbo-0125\\\",\\n                    \\\"gpt-3.5-turbo-1106\\\",\\n                ],\\n            },\\n            \\\"openai_api_base\\\": {\\n                \\\"display_name\\\": \\\"OpenAI API Base\\\",\\n                \\\"advanced\\\": False,\\n                \\\"required\\\": False,\\n                \\\"info\\\": (\\n                    \\\"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\\\n\\\\n\\\"\\n                    \\\"You can change this to use other APIs like JinaChat, LocalAI and Prem.\\\"\\n                ),\\n            },\\n            \\\"openai_api_key\\\": {\\n                \\\"display_name\\\": \\\"OpenAI API Key\\\",\\n                \\\"advanced\\\": False,\\n                \\\"required\\\": False,\\n                \\\"password\\\": True,\\n            },\\n            \\\"temperature\\\": {\\n                \\\"display_name\\\": \\\"Temperature\\\",\\n                \\\"advanced\\\": False,\\n                \\\"required\\\": False,\\n                \\\"value\\\": 0.7,\\n            },\\n        }\\n\\n    def build(\\n        self,\\n        inputs: Text,\\n        max_tokens: Optional[int] = 256,\\n        model_kwargs: NestedDict = {},\\n        model_name: str = \\\"gpt-4-1106-preview\\\",\\n        openai_api_base: Optional[str] = None,\\n        openai_api_key: Optional[str] = None,\\n        temperature: float = 0.7,\\n    ) -> Text:\\n        if not openai_api_base:\\n            openai_api_base = \\\"https://api.openai.com/v1\\\"\\n        model = ChatOpenAI(\\n            max_tokens=max_tokens,\\n            model_kwargs=model_kwargs,\\n            model=model_name,\\n            base_url=openai_api_base,\\n            api_key=openai_api_key,\\n            temperature=temperature,\\n        )\\n\\n        message = model.invoke(inputs)\\n        result = message.content if hasattr(message, \\\"content\\\") else message\\n        self.status = result\\n        return result\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"max_tokens\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":256,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"max_tokens\",\"display_name\":\"Max Tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"model_kwargs\":{\"type\":\"NestedDict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"model_kwargs\",\"display_name\":\"Model Kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"gpt-4-turbo-preview\",\"gpt-4-0125-preview\",\"gpt-4-1106-preview\",\"gpt-4-vision-preview\",\"gpt-3.5-turbo-0125\",\"gpt-3.5-turbo-1106\"],\"name\":\"model_name\",\"display_name\":\"Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"openai_api_base\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"openai_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.7,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Generates text using OpenAI's models.\",\"base_classes\":[\"Text\",\"object\"],\"display_name\":\"OpenAI Model\",\"documentation\":\"\",\"custom_fields\":{\"inputs\":null,\"max_tokens\":null,\"model_kwargs\":null,\"model_name\":null,\"openai_api_base\":null,\"openai_api_key\":null,\"temperature\":null},\"output_types\":[\"Text\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"HuggingFaceModel\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain_community.chat_models.huggingface import ChatHuggingFace\\nfrom langchain_community.llms.huggingface_endpoint import HuggingFaceEndpoint\\n\\nfrom langflow import CustomComponent\\n\\nfrom langflow.field_typing import Text\\n\\n\\nclass HuggingFaceEndpointsComponent(CustomComponent):\\n    display_name: str = \\\"Hugging Face Inference API models\\\"\\n    description: str = \\\"Generate text using LLM model from Hugging Face Inference API.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Endpoint URL\\\", \\\"password\\\": True},\\n            \\\"task\\\": {\\n                \\\"display_name\\\": \\\"Task\\\",\\n                \\\"options\\\": [\\\"text2text-generation\\\", \\\"text-generation\\\", \\\"summarization\\\"],\\n            },\\n            \\\"huggingfacehub_api_token\\\": {\\\"display_name\\\": \\\"API token\\\", \\\"password\\\": True},\\n            \\\"model_kwargs\\\": {\\n                \\\"display_name\\\": \\\"Model Keyword Arguments\\\",\\n                \\\"field_type\\\": \\\"code\\\",\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n            \\\"inputs\\\": {\\\"display_name\\\": \\\"Input\\\"},\\n        }\\n\\n    def build(\\n        self,\\n        inputs: str,\\n        endpoint_url: str,\\n        task: str = \\\"text2text-generation\\\",\\n        huggingfacehub_api_token: Optional[str] = None,\\n        model_kwargs: Optional[dict] = None,\\n    ) -> Text:\\n        try:\\n            llm = HuggingFaceEndpoint(\\n                endpoint_url=endpoint_url,\\n                task=task,\\n                huggingfacehub_api_token=huggingfacehub_api_token,\\n                model_kwargs=model_kwargs,\\n            )\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to HuggingFace Endpoints API.\\\") from e\\n        output = ChatHuggingFace(llm=llm)\\n        message = output.invoke(inputs)\\n        result = message.content if hasattr(message, \\\"content\\\") else message\\n        self.status = result\\n        return result\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"endpoint_url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"endpoint_url\",\"display_name\":\"Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"huggingfacehub_api_token\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"huggingfacehub_api_token\",\"display_name\":\"API token\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"inputs\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"inputs\",\"display_name\":\"Input\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"model_kwargs\":{\"type\":\"code\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"model_kwargs\",\"display_name\":\"Model Keyword Arguments\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"task\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"text2text-generation\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"text2text-generation\",\"text-generation\",\"summarization\"],\"name\":\"task\",\"display_name\":\"Task\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"description\":\"Generate text using LLM model from Hugging Face Inference API.\",\"base_classes\":[\"Text\",\"object\"],\"display_name\":\"Hugging Face Inference API models\",\"documentation\":\"\",\"custom_fields\":{\"inputs\":null,\"endpoint_url\":null,\"task\":null,\"huggingfacehub_api_token\":null,\"model_kwargs\":null},\"output_types\":[\"Text\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"AzureOpenAIModel\":{\"template\":{\"api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_key\",\"display_name\":\"API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"api_version\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"2023-12-01-preview\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"2023-03-15-preview\",\"2023-05-15\",\"2023-06-01-preview\",\"2023-07-01-preview\",\"2023-08-01-preview\",\"2023-09-01-preview\",\"2023-12-01-preview\"],\"name\":\"api_version\",\"display_name\":\"API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"azure_deployment\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"azure_deployment\",\"display_name\":\"Deployment Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"azure_endpoint\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"azure_endpoint\",\"display_name\":\"Azure Endpoint\",\"advanced\":false,\"dynamic\":false,\"info\":\"Your Azure endpoint, including the resource.. Example: `https://example-resource.azure.openai.com/`\",\"title_case\":false,\"input_types\":[\"Text\"]},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.llms.base import BaseLanguageModel\\nfrom langchain_openai import AzureChatOpenAI\\n\\nfrom langflow import CustomComponent\\n\\n\\nclass AzureChatOpenAIComponent(CustomComponent):\\n    display_name: str = \\\"AzureOpenAI Model\\\"\\n    description: str = \\\"Generate text using LLM model from Azure OpenAI.\\\"\\n    documentation: str = \\\"https://python.langchain.com/docs/integrations/llms/azure_openai\\\"\\n    beta = False\\n\\n    AZURE_OPENAI_MODELS = [\\n        \\\"gpt-35-turbo\\\",\\n        \\\"gpt-35-turbo-16k\\\",\\n        \\\"gpt-35-turbo-instruct\\\",\\n        \\\"gpt-4\\\",\\n        \\\"gpt-4-32k\\\",\\n        \\\"gpt-4-vision\\\",\\n    ]\\n\\n    AZURE_OPENAI_API_VERSIONS = [\\n        \\\"2023-03-15-preview\\\",\\n        \\\"2023-05-15\\\",\\n        \\\"2023-06-01-preview\\\",\\n        \\\"2023-07-01-preview\\\",\\n        \\\"2023-08-01-preview\\\",\\n        \\\"2023-09-01-preview\\\",\\n        \\\"2023-12-01-preview\\\",\\n    ]\\n\\n    def build_config(self):\\n        return {\\n            \\\"model\\\": {\\n                \\\"display_name\\\": \\\"Model Name\\\",\\n                \\\"value\\\": self.AZURE_OPENAI_MODELS[0],\\n                \\\"options\\\": self.AZURE_OPENAI_MODELS,\\n                \\\"required\\\": True,\\n            },\\n            \\\"azure_endpoint\\\": {\\n                \\\"display_name\\\": \\\"Azure Endpoint\\\",\\n                \\\"required\\\": True,\\n                \\\"info\\\": \\\"Your Azure endpoint, including the resource.. Example: `https://example-resource.azure.openai.com/`\\\",\\n            },\\n            \\\"azure_deployment\\\": {\\n                \\\"display_name\\\": \\\"Deployment Name\\\",\\n                \\\"required\\\": True,\\n            },\\n            \\\"api_version\\\": {\\n                \\\"display_name\\\": \\\"API Version\\\",\\n                \\\"options\\\": self.AZURE_OPENAI_API_VERSIONS,\\n                \\\"value\\\": self.AZURE_OPENAI_API_VERSIONS[-1],\\n                \\\"required\\\": True,\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"api_key\\\": {\\\"display_name\\\": \\\"API Key\\\", \\\"required\\\": True, \\\"password\\\": True},\\n            \\\"temperature\\\": {\\n                \\\"display_name\\\": \\\"Temperature\\\",\\n                \\\"value\\\": 0.7,\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"required\\\": False,\\n            },\\n            \\\"max_tokens\\\": {\\n                \\\"display_name\\\": \\\"Max Tokens\\\",\\n                \\\"value\\\": 1000,\\n                \\\"required\\\": False,\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"advanced\\\": True,\\n                \\\"info\\\": \\\"Maximum number of tokens to generate.\\\",\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n            \\\"inputs\\\": {\\\"display_name\\\": \\\"Input\\\"},\\n        }\\n\\n    def build(\\n        self,\\n        model: str,\\n        azure_endpoint: str,\\n        inputs: str,\\n        azure_deployment: str,\\n        api_key: str,\\n        api_version: str,\\n        temperature: float = 0.7,\\n        max_tokens: Optional[int] = 1000,\\n    ) -> BaseLanguageModel:\\n        try:\\n            output = AzureChatOpenAI(\\n                model=model,\\n                azure_endpoint=azure_endpoint,\\n                azure_deployment=azure_deployment,\\n                api_version=api_version,\\n                api_key=api_key,\\n                temperature=temperature,\\n                max_tokens=max_tokens,\\n            )\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AzureOpenAI API.\\\") from e\\n        message = output.invoke(inputs)\\n        result = message.content if hasattr(message, \\\"content\\\") else message\\n        self.status = result\\n        return result\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"inputs\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"inputs\",\"display_name\":\"Input\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"max_tokens\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1000,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"max_tokens\",\"display_name\":\"Max Tokens\",\"advanced\":true,\"dynamic\":false,\"info\":\"Maximum number of tokens to generate.\",\"title_case\":false},\"model\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"gpt-35-turbo\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"gpt-35-turbo\",\"gpt-35-turbo-16k\",\"gpt-35-turbo-instruct\",\"gpt-4\",\"gpt-4-32k\",\"gpt-4-vision\"],\"name\":\"model\",\"display_name\":\"Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.7,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Generate text using LLM model from Azure OpenAI.\",\"base_classes\":[\"BaseLanguageModel\",\"Runnable\",\"Generic\",\"RunnableSerializable\",\"Serializable\",\"object\"],\"display_name\":\"AzureOpenAI Model\",\"documentation\":\"https://python.langchain.com/docs/integrations/llms/azure_openai\",\"custom_fields\":{\"model\":null,\"azure_endpoint\":null,\"inputs\":null,\"azure_deployment\":null,\"api_key\":null,\"api_version\":null,\"temperature\":null,\"max_tokens\":null},\"output_types\":[\"BaseLanguageModel\"],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"AmazonBedrockModel\":{\"template\":{\"cache\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"cache\",\"display_name\":\"Cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain_community.chat_models.bedrock import BedrockChat\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Text\\n\\n\\nclass AmazonBedrockComponent(CustomComponent):\\n    display_name: str = \\\"Amazon Bedrock Model\\\"\\n    description: str = \\\"Generate text using LLM model from Amazon Bedrock.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\n                    \\\"ai21.j2-grande-instruct\\\",\\n                    \\\"ai21.j2-jumbo-instruct\\\",\\n                    \\\"ai21.j2-mid\\\",\\n                    \\\"ai21.j2-mid-v1\\\",\\n                    \\\"ai21.j2-ultra\\\",\\n                    \\\"ai21.j2-ultra-v1\\\",\\n                    \\\"anthropic.claude-instant-v1\\\",\\n                    \\\"anthropic.claude-v1\\\",\\n                    \\\"anthropic.claude-v2\\\",\\n                    \\\"cohere.command-text-v14\\\",\\n                ],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"streaming\\\": {\\\"display_name\\\": \\\"Streaming\\\", \\\"field_type\\\": \\\"bool\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"Region Name\\\"},\\n            \\\"model_kwargs\\\": {\\\"display_name\\\": \\\"Model Kwargs\\\"},\\n            \\\"cache\\\": {\\\"display_name\\\": \\\"Cache\\\"},\\n            \\\"code\\\": {\\\"advanced\\\": True},\\n            \\\"inputs\\\": {\\\"display_name\\\": \\\"Input\\\"},\\n        }\\n\\n    def build(\\n        self,\\n        inputs: str,\\n        model_id: str = \\\"anthropic.claude-instant-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n        model_kwargs: Optional[dict] = None,\\n        endpoint_url: Optional[str] = None,\\n        streaming: bool = False,\\n        cache: Optional[bool] = None,\\n    ) -> Text:\\n        try:\\n            output = BedrockChat(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                region_name=region_name,\\n                model_kwargs=model_kwargs,\\n                endpoint_url=endpoint_url,\\n                streaming=streaming,\\n                cache=cache,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        message = output.invoke(inputs)\\n        result = message.content if hasattr(message, \\\"content\\\") else message\\n        self.status = result\\n        return result\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"credentials_profile_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"endpoint_url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"inputs\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"inputs\",\"display_name\":\"Input\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"model_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"anthropic.claude-instant-v1\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"ai21.j2-grande-instruct\",\"ai21.j2-jumbo-instruct\",\"ai21.j2-mid\",\"ai21.j2-mid-v1\",\"ai21.j2-ultra\",\"ai21.j2-ultra-v1\",\"anthropic.claude-instant-v1\",\"anthropic.claude-v1\",\"anthropic.claude-v2\",\"cohere.command-text-v14\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"model_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"model_kwargs\",\"display_name\":\"Model Kwargs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"region_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"region_name\",\"display_name\":\"Region Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"streaming\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"streaming\",\"display_name\":\"Streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Generate text using LLM model from Amazon Bedrock.\",\"base_classes\":[\"Text\",\"object\"],\"display_name\":\"Amazon Bedrock Model\",\"documentation\":\"\",\"custom_fields\":{\"inputs\":null,\"model_id\":null,\"credentials_profile_name\":null,\"region_name\":null,\"model_kwargs\":null,\"endpoint_url\":null,\"streaming\":null,\"cache\":null},\"output_types\":[\"Text\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"CohereModel\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langchain_community.chat_models.cohere import ChatCohere\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Text\\n\\n\\nclass CohereComponent(CustomComponent):\\n    display_name = \\\"CohereModel\\\"\\n    description = \\\"Generate text using Cohere large language models.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/cohere\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"cohere_api_key\\\": {\\n                \\\"display_name\\\": \\\"Cohere API Key\\\",\\n                \\\"type\\\": \\\"password\\\",\\n                \\\"password\\\": True,\\n            },\\n            \\\"max_tokens\\\": {\\n                \\\"display_name\\\": \\\"Max Tokens\\\",\\n                \\\"default\\\": 256,\\n                \\\"type\\\": \\\"int\\\",\\n                \\\"show\\\": True,\\n            },\\n            \\\"temperature\\\": {\\n                \\\"display_name\\\": \\\"Temperature\\\",\\n                \\\"default\\\": 0.75,\\n                \\\"type\\\": \\\"float\\\",\\n                \\\"show\\\": True,\\n            },\\n            \\\"inputs\\\": {\\\"display_name\\\": \\\"Input\\\"},\\n        }\\n\\n    def build(\\n        self,\\n        cohere_api_key: str,\\n        inputs: str,\\n        max_tokens: int = 256,\\n        temperature: float = 0.75,\\n    ) -> Text:\\n        output = ChatCohere(\\n            cohere_api_key=cohere_api_key,\\n            max_tokens=max_tokens,\\n            temperature=temperature,\\n        )\\n        message = output.invoke(inputs)\\n        result = message.content if hasattr(message, \\\"content\\\") else message\\n        self.status = result\\n        return result\\n        return result\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"cohere_api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"cohere_api_key\",\"display_name\":\"Cohere API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"inputs\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"inputs\",\"display_name\":\"Input\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"max_tokens\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":256,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"max_tokens\",\"display_name\":\"Max Tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"temperature\":{\"type\":\"float\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.75,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Generate text using Cohere large language models.\",\"base_classes\":[\"Text\",\"object\"],\"display_name\":\"CohereModel\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/cohere\",\"custom_fields\":{\"cohere_api_key\":null,\"inputs\":null,\"max_tokens\":null,\"temperature\":null},\"output_types\":[\"Text\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true}},\"model_specs\":{\"AmazonBedrockSpecs\":{\"template\":{\"cache\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"cache\",\"display_name\":\"Cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain_community.llms.bedrock import Bedrock\\n\\n\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockComponent(CustomComponent):\\n    display_name: str = \\\"Amazon Bedrock\\\"\\n    description: str = \\\"LLM model from Amazon Bedrock.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\n                    \\\"ai21.j2-grande-instruct\\\",\\n                    \\\"ai21.j2-jumbo-instruct\\\",\\n                    \\\"ai21.j2-mid\\\",\\n                    \\\"ai21.j2-mid-v1\\\",\\n                    \\\"ai21.j2-ultra\\\",\\n                    \\\"ai21.j2-ultra-v1\\\",\\n                    \\\"anthropic.claude-instant-v1\\\",\\n                    \\\"anthropic.claude-v1\\\",\\n                    \\\"anthropic.claude-v2\\\",\\n                    \\\"cohere.command-text-v14\\\",\\n                ],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"streaming\\\": {\\\"display_name\\\": \\\"Streaming\\\", \\\"field_type\\\": \\\"bool\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"Region Name\\\"},\\n            \\\"model_kwargs\\\": {\\\"display_name\\\": \\\"Model Kwargs\\\"},\\n            \\\"cache\\\": {\\\"display_name\\\": \\\"Cache\\\"},\\n            \\\"code\\\": {\\\"advanced\\\": True},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"anthropic.claude-instant-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n        model_kwargs: Optional[dict] = None,\\n        endpoint_url: Optional[str] = None,\\n        streaming: bool = False,\\n        cache: Optional[bool] = None,\\n    ) -> BaseLLM:\\n        try:\\n            output = Bedrock(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                region_name=region_name,\\n                model_kwargs=model_kwargs,\\n                endpoint_url=endpoint_url,\\n                streaming=streaming,\\n                cache=cache,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"credentials_profile_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"endpoint_url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"model_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"anthropic.claude-instant-v1\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"ai21.j2-grande-instruct\",\"ai21.j2-jumbo-instruct\",\"ai21.j2-mid\",\"ai21.j2-mid-v1\",\"ai21.j2-ultra\",\"ai21.j2-ultra-v1\",\"anthropic.claude-instant-v1\",\"anthropic.claude-v1\",\"anthropic.claude-v2\",\"cohere.command-text-v14\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"model_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"model_kwargs\",\"display_name\":\"Model Kwargs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"region_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"region_name\",\"display_name\":\"Region Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"streaming\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"streaming\",\"display_name\":\"Streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"LLM model from Amazon Bedrock.\",\"base_classes\":[\"BaseLanguageModel\",\"Runnable\",\"Generic\",\"RunnableSerializable\",\"Serializable\",\"object\",\"BaseLLM\"],\"display_name\":\"Amazon Bedrock\",\"documentation\":\"\",\"custom_fields\":{\"model_id\":null,\"credentials_profile_name\":null,\"region_name\":null,\"model_kwargs\":null,\"endpoint_url\":null,\"streaming\":null,\"cache\":null},\"output_types\":[\"BaseLLM\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"ChatVertexAISpecs\":{\"template\":{\"credentials\":{\"type\":\"file\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[\".json\"],\"password\":false,\"name\":\"credentials\",\"display_name\":\"Credentials\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"examples\":{\"type\":\"BaseMessage\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":true,\"value\":[],\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"examples\",\"display_name\":\"Examples\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import List, Optional, Union\\n\\nfrom langchain.llms import BaseLLM\\nfrom langchain_community.chat_models.vertexai import ChatVertexAI\\nfrom langchain_core.messages.base import BaseMessage\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseLanguageModel\\n\\n\\nclass ChatVertexAIComponent(CustomComponent):\\n    display_name = \\\"ChatVertexAI\\\"\\n    description = \\\"`Vertex AI` Chat large language models API.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"credentials\\\": {\\n                \\\"display_name\\\": \\\"Credentials\\\",\\n                \\\"field_type\\\": \\\"file\\\",\\n                \\\"file_types\\\": [\\\".json\\\"],\\n                \\\"file_path\\\": None,\\n            },\\n            \\\"examples\\\": {\\n                \\\"display_name\\\": \\\"Examples\\\",\\n                \\\"multiline\\\": True,\\n            },\\n            \\\"location\\\": {\\n                \\\"display_name\\\": \\\"Location\\\",\\n                \\\"value\\\": \\\"us-central1\\\",\\n            },\\n            \\\"max_output_tokens\\\": {\\n                \\\"display_name\\\": \\\"Max Output Tokens\\\",\\n                \\\"value\\\": 128,\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"model_name\\\": {\\n                \\\"display_name\\\": \\\"Model Name\\\",\\n                \\\"value\\\": \\\"chat-bison\\\",\\n            },\\n            \\\"project\\\": {\\n                \\\"display_name\\\": \\\"Project\\\",\\n            },\\n            \\\"temperature\\\": {\\n                \\\"display_name\\\": \\\"Temperature\\\",\\n                \\\"value\\\": 0.0,\\n            },\\n            \\\"top_k\\\": {\\n                \\\"display_name\\\": \\\"Top K\\\",\\n                \\\"value\\\": 40,\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"top_p\\\": {\\n                \\\"display_name\\\": \\\"Top P\\\",\\n                \\\"value\\\": 0.95,\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"verbose\\\": {\\n                \\\"display_name\\\": \\\"Verbose\\\",\\n                \\\"value\\\": False,\\n                \\\"advanced\\\": True,\\n            },\\n        }\\n\\n    def build(\\n        self,\\n        credentials: Optional[str],\\n        project: str,\\n        examples: Optional[List[BaseMessage]] = [],\\n        location: str = \\\"us-central1\\\",\\n        max_output_tokens: int = 128,\\n        model_name: str = \\\"chat-bison\\\",\\n        temperature: float = 0.0,\\n        top_k: int = 40,\\n        top_p: float = 0.95,\\n        verbose: bool = False,\\n    ) -> Union[BaseLanguageModel, BaseLLM]:\\n        return ChatVertexAI(\\n            credentials=credentials,\\n            examples=examples,\\n            location=location,\\n            max_output_tokens=max_output_tokens,\\n            model_name=model_name,\\n            project=project,\\n            temperature=temperature,\\n            top_k=top_k,\\n            top_p=top_p,\\n            verbose=verbose,\\n        )\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"location\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"us-central1\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"location\",\"display_name\":\"Location\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"max_output_tokens\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":128,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"max_output_tokens\",\"display_name\":\"Max Output Tokens\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"model_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"chat-bison\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"model_name\",\"display_name\":\"Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"project\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"project\",\"display_name\":\"Project\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"temperature\":{\"type\":\"float\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.0,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"top_k\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":40,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_k\",\"display_name\":\"Top K\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"top_p\":{\"type\":\"float\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.95,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_p\",\"display_name\":\"Top P\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"verbose\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"verbose\",\"display_name\":\"Verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"`Vertex AI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"Runnable\",\"Generic\",\"RunnableSerializable\",\"Serializable\",\"object\",\"BaseLLM\"],\"display_name\":\"ChatVertexAI\",\"documentation\":\"\",\"custom_fields\":{\"credentials\":null,\"project\":null,\"examples\":null,\"location\":null,\"max_output_tokens\":null,\"model_name\":null,\"temperature\":null,\"top_k\":null,\"top_p\":null,\"verbose\":null},\"output_types\":[\"BaseLanguageModel\",\"BaseLLM\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"VertexAISpecs\":{\"template\":{\"credentials\":{\"type\":\"file\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[\".json\"],\"file_path\":\"\",\"password\":false,\"name\":\"credentials\",\"display_name\":\"Credentials\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langchain.llms import BaseLLM\\nfrom typing import Optional, Union, Callable, Dict\\nfrom langchain_community.llms.vertexai import VertexAI\\n\\n\\nclass VertexAIComponent(CustomComponent):\\n    display_name = \\\"VertexAI\\\"\\n    description = \\\"Google Vertex AI large language models\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"credentials\\\": {\\n                \\\"display_name\\\": \\\"Credentials\\\",\\n                \\\"field_type\\\": \\\"file\\\",\\n                \\\"file_types\\\": [\\\".json\\\"],\\n                \\\"required\\\": False,\\n                \\\"value\\\": None,\\n            },\\n            \\\"location\\\": {\\n                \\\"display_name\\\": \\\"Location\\\",\\n                \\\"type\\\": \\\"str\\\",\\n                \\\"advanced\\\": True,\\n                \\\"value\\\": \\\"us-central1\\\",\\n                \\\"required\\\": False,\\n            },\\n            \\\"max_output_tokens\\\": {\\n                \\\"display_name\\\": \\\"Max Output Tokens\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 128,\\n                \\\"required\\\": False,\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"max_retries\\\": {\\n                \\\"display_name\\\": \\\"Max Retries\\\",\\n                \\\"type\\\": \\\"int\\\",\\n                \\\"value\\\": 6,\\n                \\\"required\\\": False,\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"metadata\\\": {\\n                \\\"display_name\\\": \\\"Metadata\\\",\\n                \\\"field_type\\\": \\\"dict\\\",\\n                \\\"required\\\": False,\\n                \\\"default\\\": {},\\n            },\\n            \\\"model_name\\\": {\\n                \\\"display_name\\\": \\\"Model Name\\\",\\n                \\\"type\\\": \\\"str\\\",\\n                \\\"value\\\": \\\"text-bison\\\",\\n                \\\"required\\\": False,\\n            },\\n            \\\"n\\\": {\\n                \\\"advanced\\\": True,\\n                \\\"display_name\\\": \\\"N\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 1,\\n                \\\"required\\\": False,\\n            },\\n            \\\"project\\\": {\\n                \\\"display_name\\\": \\\"Project\\\",\\n                \\\"type\\\": \\\"str\\\",\\n                \\\"required\\\": False,\\n                \\\"default\\\": None,\\n            },\\n            \\\"request_parallelism\\\": {\\n                \\\"display_name\\\": \\\"Request Parallelism\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 5,\\n                \\\"required\\\": False,\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"streaming\\\": {\\n                \\\"display_name\\\": \\\"Streaming\\\",\\n                \\\"field_type\\\": \\\"bool\\\",\\n                \\\"value\\\": False,\\n                \\\"required\\\": False,\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"temperature\\\": {\\n                \\\"display_name\\\": \\\"Temperature\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"value\\\": 0.0,\\n                \\\"required\\\": False,\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"top_k\\\": {\\\"display_name\\\": \\\"Top K\\\", \\\"type\\\": \\\"int\\\", \\\"default\\\": 40, \\\"required\\\": False, \\\"advanced\\\": True},\\n            \\\"top_p\\\": {\\n                \\\"display_name\\\": \\\"Top P\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"value\\\": 0.95,\\n                \\\"required\\\": False,\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"tuned_model_name\\\": {\\n                \\\"display_name\\\": \\\"Tuned Model Name\\\",\\n                \\\"type\\\": \\\"str\\\",\\n                \\\"required\\\": False,\\n                \\\"value\\\": None,\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"verbose\\\": {\\n                \\\"display_name\\\": \\\"Verbose\\\",\\n                \\\"field_type\\\": \\\"bool\\\",\\n                \\\"value\\\": False,\\n                \\\"required\\\": False,\\n            },\\n            \\\"name\\\": {\\\"display_name\\\": \\\"Name\\\", \\\"field_type\\\": \\\"str\\\"},\\n        }\\n\\n    def build(\\n        self,\\n        credentials: Optional[str] = None,\\n        location: str = \\\"us-central1\\\",\\n        max_output_tokens: int = 128,\\n        max_retries: int = 6,\\n        metadata: Dict = {},\\n        model_name: str = \\\"text-bison\\\",\\n        n: int = 1,\\n        name: Optional[str] = None,\\n        project: Optional[str] = None,\\n        request_parallelism: int = 5,\\n        streaming: bool = False,\\n        temperature: float = 0.0,\\n        top_k: int = 40,\\n        top_p: float = 0.95,\\n        tuned_model_name: Optional[str] = None,\\n        verbose: bool = False,\\n    ) -> Union[BaseLLM, Callable]:\\n        return VertexAI(\\n            credentials=credentials,\\n            location=location,\\n            max_output_tokens=max_output_tokens,\\n            max_retries=max_retries,\\n            metadata=metadata,\\n            model_name=model_name,\\n            n=n,\\n            name=name,\\n            project=project,\\n            request_parallelism=request_parallelism,\\n            streaming=streaming,\\n            temperature=temperature,\\n            top_k=top_k,\\n            top_p=top_p,\\n            tuned_model_name=tuned_model_name,\\n            verbose=verbose,\\n        )\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"location\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"us-central1\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"location\",\"display_name\":\"Location\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"max_output_tokens\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":128,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"max_output_tokens\",\"display_name\":\"Max Output Tokens\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"max_retries\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":6,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"max_retries\",\"display_name\":\"Max Retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"text-bison\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"model_name\",\"display_name\":\"Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"n\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"n\",\"display_name\":\"N\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"name\",\"display_name\":\"Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"project\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"project\",\"display_name\":\"Project\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"request_parallelism\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":5,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"request_parallelism\",\"display_name\":\"Request Parallelism\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"streaming\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"streaming\",\"display_name\":\"Streaming\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.0,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"top_k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":40,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_k\",\"display_name\":\"Top K\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.95,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_p\",\"display_name\":\"Top P\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"tuned_model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tuned_model_name\",\"display_name\":\"Tuned Model Name\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"verbose\",\"display_name\":\"Verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Google Vertex AI large language models\",\"base_classes\":[\"BaseLanguageModel\",\"Runnable\",\"Generic\",\"RunnableSerializable\",\"Serializable\",\"object\",\"BaseLLM\",\"Callable\"],\"display_name\":\"VertexAI\",\"documentation\":\"\",\"custom_fields\":{\"credentials\":null,\"location\":null,\"max_output_tokens\":null,\"max_retries\":null,\"metadata\":null,\"model_name\":null,\"n\":null,\"name\":null,\"project\":null,\"request_parallelism\":null,\"streaming\":null,\"temperature\":null,\"top_k\":null,\"top_p\":null,\"tuned_model_name\":null,\"verbose\":null},\"output_types\":[\"BaseLLM\",\"Callable\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"ChatAnthropicSpecs\":{\"template\":{\"anthropic_api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"anthropic_api_key\",\"display_name\":\"Anthropic API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"anthropic_api_url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"anthropic_api_url\",\"display_name\":\"Anthropic API URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from pydantic.v1.types import SecretStr\\nfrom langflow import CustomComponent\\nfrom typing import Optional, Union, Callable\\nfrom langflow.field_typing import BaseLanguageModel\\nfrom langchain_community.chat_models.anthropic import ChatAnthropic\\n\\n\\nclass ChatAnthropicComponent(CustomComponent):\\n    display_name = \\\"ChatAnthropic\\\"\\n    description = \\\"`Anthropic` chat large language models.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/anthropic\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"anthropic_api_key\\\": {\\n                \\\"display_name\\\": \\\"Anthropic API Key\\\",\\n                \\\"field_type\\\": \\\"str\\\",\\n                \\\"password\\\": True,\\n            },\\n            \\\"anthropic_api_url\\\": {\\n                \\\"display_name\\\": \\\"Anthropic API URL\\\",\\n                \\\"field_type\\\": \\\"str\\\",\\n            },\\n            \\\"model_kwargs\\\": {\\n                \\\"display_name\\\": \\\"Model Kwargs\\\",\\n                \\\"field_type\\\": \\\"dict\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"temperature\\\": {\\n                \\\"display_name\\\": \\\"Temperature\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n            },\\n        }\\n\\n    def build(\\n        self,\\n        anthropic_api_key: str,\\n        anthropic_api_url: Optional[str] = None,\\n        model_kwargs: dict = {},\\n        temperature: Optional[float] = None,\\n    ) -> Union[BaseLanguageModel, Callable]:\\n        return ChatAnthropic(\\n            anthropic_api_key=SecretStr(anthropic_api_key),\\n            anthropic_api_url=anthropic_api_url,\\n            model_kwargs=model_kwargs,\\n            temperature=temperature,\\n        )\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"model_kwargs\":{\"type\":\"dict\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"model_kwargs\",\"display_name\":\"Model Kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"`Anthropic` chat large language models.\",\"base_classes\":[\"BaseLanguageModel\",\"Runnable\",\"Generic\",\"RunnableSerializable\",\"Serializable\",\"object\",\"Callable\"],\"display_name\":\"ChatAnthropic\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/anthropic\",\"custom_fields\":{\"anthropic_api_key\":null,\"anthropic_api_url\":null,\"model_kwargs\":null,\"temperature\":null},\"output_types\":[\"BaseLanguageModel\",\"Callable\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"AzureChatOpenAISpecs\":{\"template\":{\"api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_key\",\"display_name\":\"API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"api_version\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"2023-12-01-preview\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"2023-03-15-preview\",\"2023-05-15\",\"2023-06-01-preview\",\"2023-07-01-preview\",\"2023-08-01-preview\",\"2023-09-01-preview\",\"2023-12-01-preview\"],\"name\":\"api_version\",\"display_name\":\"API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"azure_deployment\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"azure_deployment\",\"display_name\":\"Deployment Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"azure_endpoint\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"azure_endpoint\",\"display_name\":\"Azure Endpoint\",\"advanced\":false,\"dynamic\":false,\"info\":\"Your Azure endpoint, including the resource.. Example: `https://example-resource.azure.openai.com/`\",\"title_case\":false,\"input_types\":[\"Text\"]},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.llms.base import BaseLanguageModel\\nfrom langchain_community.chat_models.azure_openai import AzureChatOpenAI\\n\\nfrom langflow import CustomComponent\\n\\n\\nclass AzureChatOpenAISpecsComponent(CustomComponent):\\n    display_name: str = \\\"AzureChatOpenAI\\\"\\n    description: str = \\\"LLM model from Azure OpenAI.\\\"\\n    documentation: str = \\\"https://python.langchain.com/docs/integrations/llms/azure_openai\\\"\\n    beta = False\\n\\n    AZURE_OPENAI_MODELS = [\\n        \\\"gpt-35-turbo\\\",\\n        \\\"gpt-35-turbo-16k\\\",\\n        \\\"gpt-35-turbo-instruct\\\",\\n        \\\"gpt-4\\\",\\n        \\\"gpt-4-32k\\\",\\n        \\\"gpt-4-vision\\\",\\n    ]\\n\\n    AZURE_OPENAI_API_VERSIONS = [\\n        \\\"2023-03-15-preview\\\",\\n        \\\"2023-05-15\\\",\\n        \\\"2023-06-01-preview\\\",\\n        \\\"2023-07-01-preview\\\",\\n        \\\"2023-08-01-preview\\\",\\n        \\\"2023-09-01-preview\\\",\\n        \\\"2023-12-01-preview\\\",\\n    ]\\n\\n    def build_config(self):\\n        return {\\n            \\\"model\\\": {\\n                \\\"display_name\\\": \\\"Model Name\\\",\\n                \\\"value\\\": self.AZURE_OPENAI_MODELS[0],\\n                \\\"options\\\": self.AZURE_OPENAI_MODELS,\\n                \\\"required\\\": True,\\n            },\\n            \\\"azure_endpoint\\\": {\\n                \\\"display_name\\\": \\\"Azure Endpoint\\\",\\n                \\\"required\\\": True,\\n                \\\"info\\\": \\\"Your Azure endpoint, including the resource.. Example: `https://example-resource.azure.openai.com/`\\\",\\n            },\\n            \\\"azure_deployment\\\": {\\n                \\\"display_name\\\": \\\"Deployment Name\\\",\\n                \\\"required\\\": True,\\n            },\\n            \\\"api_version\\\": {\\n                \\\"display_name\\\": \\\"API Version\\\",\\n                \\\"options\\\": self.AZURE_OPENAI_API_VERSIONS,\\n                \\\"value\\\": self.AZURE_OPENAI_API_VERSIONS[-1],\\n                \\\"required\\\": True,\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"api_key\\\": {\\\"display_name\\\": \\\"API Key\\\", \\\"required\\\": True, \\\"password\\\": True},\\n            \\\"temperature\\\": {\\n                \\\"display_name\\\": \\\"Temperature\\\",\\n                \\\"value\\\": 0.7,\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"required\\\": False,\\n            },\\n            \\\"max_tokens\\\": {\\n                \\\"display_name\\\": \\\"Max Tokens\\\",\\n                \\\"value\\\": 1000,\\n                \\\"required\\\": False,\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"advanced\\\": True,\\n                \\\"info\\\": \\\"Maximum number of tokens to generate.\\\",\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model: str,\\n        azure_endpoint: str,\\n        azure_deployment: str,\\n        api_key: str,\\n        api_version: str,\\n        temperature: float = 0.7,\\n        max_tokens: Optional[int] = 1000,\\n    ) -> BaseLanguageModel:\\n        try:\\n            llm = AzureChatOpenAI(\\n                model=model,\\n                azure_endpoint=azure_endpoint,\\n                azure_deployment=azure_deployment,\\n                api_version=api_version,\\n                api_key=api_key,\\n                temperature=temperature,\\n                max_tokens=max_tokens,\\n            )\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AzureOpenAI API.\\\") from e\\n        return llm\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"max_tokens\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1000,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"max_tokens\",\"display_name\":\"Max Tokens\",\"advanced\":true,\"dynamic\":false,\"info\":\"Maximum number of tokens to generate.\",\"title_case\":false},\"model\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"gpt-35-turbo\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"gpt-35-turbo\",\"gpt-35-turbo-16k\",\"gpt-35-turbo-instruct\",\"gpt-4\",\"gpt-4-32k\",\"gpt-4-vision\"],\"name\":\"model\",\"display_name\":\"Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.7,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"LLM model from Azure OpenAI.\",\"base_classes\":[\"BaseLanguageModel\",\"Runnable\",\"Generic\",\"RunnableSerializable\",\"Serializable\",\"object\"],\"display_name\":\"AzureChatOpenAI\",\"documentation\":\"https://python.langchain.com/docs/integrations/llms/azure_openai\",\"custom_fields\":{\"model\":null,\"azure_endpoint\":null,\"azure_deployment\":null,\"api_key\":null,\"api_version\":null,\"temperature\":null,\"max_tokens\":null},\"output_types\":[\"BaseLanguageModel\"],\"field_formatters\":{},\"pinned\":false,\"beta\":false},\"ChatOllamaEndpointSpecs\":{\"template\":{\"metadata\":{\"type\":\"Dict[str, Any]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":true,\"dynamic\":false,\"info\":\"Metadata to add to the run trace.\",\"title_case\":false},\"stop\":{\"type\":\"list\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"stop\",\"display_name\":\"Stop Tokens\",\"advanced\":true,\"dynamic\":false,\"info\":\"List of tokens to signal the model to stop generating text.\",\"title_case\":false},\"tags\":{\"type\":\"list\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"display_name\":\"Tags\",\"advanced\":true,\"dynamic\":false,\"info\":\"Tags to add to the run trace.\",\"title_case\":false},\"base_url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"base_url\",\"display_name\":\"Base URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"Endpoint of the Ollama API. Defaults to 'http://localhost:11434' if not specified.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"cache\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"cache\",\"display_name\":\"Cache\",\"advanced\":true,\"dynamic\":false,\"info\":\"Enable or disable caching.\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Any, Dict, List, Optional\\n\\n# from langchain_community.chat_models import ChatOllama\\nfrom langchain_community.chat_models import ChatOllama\\nfrom langchain_core.language_models.chat_models import BaseChatModel\\n\\n# from langchain.chat_models import ChatOllama\\nfrom langflow import CustomComponent\\n\\n# whe When a callback component is added to Langflow, the comment must be uncommented.\\n# from langchain.callbacks.manager import CallbackManager\\n\\n\\nclass ChatOllamaComponent(CustomComponent):\\n    display_name = \\\"ChatOllama\\\"\\n    description = \\\"Local LLM for chat with Ollama.\\\"\\n\\n    def build_config(self) -> dict:\\n        return {\\n            \\\"base_url\\\": {\\n                \\\"display_name\\\": \\\"Base URL\\\",\\n                \\\"info\\\": \\\"Endpoint of the Ollama API. Defaults to 'http://localhost:11434' if not specified.\\\",\\n            },\\n            \\\"model\\\": {\\n                \\\"display_name\\\": \\\"Model Name\\\",\\n                \\\"value\\\": \\\"llama2\\\",\\n                \\\"info\\\": \\\"Refer to https://ollama.ai/library for more models.\\\",\\n            },\\n            \\\"temperature\\\": {\\n                \\\"display_name\\\": \\\"Temperature\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"value\\\": 0.8,\\n                \\\"info\\\": \\\"Controls the creativity of model responses.\\\",\\n            },\\n            \\\"cache\\\": {\\n                \\\"display_name\\\": \\\"Cache\\\",\\n                \\\"field_type\\\": \\\"bool\\\",\\n                \\\"info\\\": \\\"Enable or disable caching.\\\",\\n                \\\"advanced\\\": True,\\n                \\\"value\\\": False,\\n            },\\n            ### When a callback component is added to Langflow, the comment must be uncommented. ###\\n            # \\\"callback_manager\\\": {\\n            #     \\\"display_name\\\": \\\"Callback Manager\\\",\\n            #     \\\"info\\\": \\\"Optional callback manager for additional functionality.\\\",\\n            #     \\\"advanced\\\": True,\\n            # },\\n            # \\\"callbacks\\\": {\\n            #     \\\"display_name\\\": \\\"Callbacks\\\",\\n            #     \\\"info\\\": \\\"Callbacks to execute during model runtime.\\\",\\n            #     \\\"advanced\\\": True,\\n            # },\\n            ########################################################################################\\n            \\\"format\\\": {\\n                \\\"display_name\\\": \\\"Format\\\",\\n                \\\"field_type\\\": \\\"str\\\",\\n                \\\"info\\\": \\\"Specify the format of the output (e.g., json).\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"metadata\\\": {\\n                \\\"display_name\\\": \\\"Metadata\\\",\\n                \\\"info\\\": \\\"Metadata to add to the run trace.\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"mirostat\\\": {\\n                \\\"display_name\\\": \\\"Mirostat\\\",\\n                \\\"options\\\": [\\\"Disabled\\\", \\\"Mirostat\\\", \\\"Mirostat 2.0\\\"],\\n                \\\"info\\\": \\\"Enable/disable Mirostat sampling for controlling perplexity.\\\",\\n                \\\"value\\\": \\\"Disabled\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"mirostat_eta\\\": {\\n                \\\"display_name\\\": \\\"Mirostat Eta\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Learning rate for Mirostat algorithm. (Default: 0.1)\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"mirostat_tau\\\": {\\n                \\\"display_name\\\": \\\"Mirostat Tau\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Controls the balance between coherence and diversity of the output. (Default: 5.0)\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"num_ctx\\\": {\\n                \\\"display_name\\\": \\\"Context Window Size\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"info\\\": \\\"Size of the context window for generating tokens. (Default: 2048)\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"num_gpu\\\": {\\n                \\\"display_name\\\": \\\"Number of GPUs\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"info\\\": \\\"Number of GPUs to use for computation. (Default: 1 on macOS, 0 to disable)\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"num_thread\\\": {\\n                \\\"display_name\\\": \\\"Number of Threads\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"info\\\": \\\"Number of threads to use during computation. (Default: detected for optimal performance)\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"repeat_last_n\\\": {\\n                \\\"display_name\\\": \\\"Repeat Last N\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"info\\\": \\\"How far back the model looks to prevent repetition. (Default: 64, 0 = disabled, -1 = num_ctx)\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"repeat_penalty\\\": {\\n                \\\"display_name\\\": \\\"Repeat Penalty\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Penalty for repetitions in generated text. (Default: 1.1)\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"tfs_z\\\": {\\n                \\\"display_name\\\": \\\"TFS Z\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Tail free sampling value. (Default: 1)\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"timeout\\\": {\\n                \\\"display_name\\\": \\\"Timeout\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"info\\\": \\\"Timeout for the request stream.\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"top_k\\\": {\\n                \\\"display_name\\\": \\\"Top K\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"info\\\": \\\"Limits token selection to top K. (Default: 40)\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"top_p\\\": {\\n                \\\"display_name\\\": \\\"Top P\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Works together with top-k. (Default: 0.9)\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"verbose\\\": {\\n                \\\"display_name\\\": \\\"Verbose\\\",\\n                \\\"field_type\\\": \\\"bool\\\",\\n                \\\"info\\\": \\\"Whether to print out response text.\\\",\\n            },\\n            \\\"tags\\\": {\\n                \\\"display_name\\\": \\\"Tags\\\",\\n                \\\"field_type\\\": \\\"list\\\",\\n                \\\"info\\\": \\\"Tags to add to the run trace.\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"stop\\\": {\\n                \\\"display_name\\\": \\\"Stop Tokens\\\",\\n                \\\"field_type\\\": \\\"list\\\",\\n                \\\"info\\\": \\\"List of tokens to signal the model to stop generating text.\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"system\\\": {\\n                \\\"display_name\\\": \\\"System\\\",\\n                \\\"field_type\\\": \\\"str\\\",\\n                \\\"info\\\": \\\"System to use for generating text.\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"template\\\": {\\n                \\\"display_name\\\": \\\"Template\\\",\\n                \\\"field_type\\\": \\\"str\\\",\\n                \\\"info\\\": \\\"Template to use for generating text.\\\",\\n                \\\"advanced\\\": True,\\n            },\\n        }\\n\\n    def build(\\n        self,\\n        base_url: Optional[str],\\n        model: str,\\n        mirostat: Optional[str],\\n        mirostat_eta: Optional[float] = None,\\n        mirostat_tau: Optional[float] = None,\\n        ### When a callback component is added to Langflow, the comment must be uncommented.###\\n        # callback_manager: Optional[CallbackManager] = None,\\n        # callbacks: Optional[List[Callbacks]] = None,\\n        #######################################################################################\\n        repeat_last_n: Optional[int] = None,\\n        verbose: Optional[bool] = None,\\n        cache: Optional[bool] = None,\\n        num_ctx: Optional[int] = None,\\n        num_gpu: Optional[int] = None,\\n        format: Optional[str] = None,\\n        metadata: Optional[Dict[str, Any]] = None,\\n        num_thread: Optional[int] = None,\\n        repeat_penalty: Optional[float] = None,\\n        stop: Optional[List[str]] = None,\\n        system: Optional[str] = None,\\n        tags: Optional[List[str]] = None,\\n        temperature: Optional[float] = None,\\n        template: Optional[str] = None,\\n        tfs_z: Optional[float] = None,\\n        timeout: Optional[int] = None,\\n        top_k: Optional[int] = None,\\n        top_p: Optional[int] = None,\\n    ) -> BaseChatModel:\\n        if not base_url:\\n            base_url = \\\"http://localhost:11434\\\"\\n\\n        # Mapping mirostat settings to their corresponding values\\n        mirostat_options = {\\\"Mirostat\\\": 1, \\\"Mirostat 2.0\\\": 2}\\n\\n        # Default to 0 for 'Disabled'\\n        mirostat_value = mirostat_options.get(mirostat, 0)  # type: ignore\\n\\n        # Set mirostat_eta and mirostat_tau to None if mirostat is disabled\\n        if mirostat_value == 0:\\n            mirostat_eta = None\\n            mirostat_tau = None\\n\\n        # Mapping system settings to their corresponding values\\n        llm_params = {\\n            \\\"base_url\\\": base_url,\\n            \\\"cache\\\": cache,\\n            \\\"model\\\": model,\\n            \\\"mirostat\\\": mirostat_value,\\n            \\\"format\\\": format,\\n            \\\"metadata\\\": metadata,\\n            \\\"tags\\\": tags,\\n            ## When a callback component is added to Langflow, the comment must be uncommented.##\\n            # \\\"callback_manager\\\": callback_manager,\\n            # \\\"callbacks\\\": callbacks,\\n            #####################################################################################\\n            \\\"mirostat_eta\\\": mirostat_eta,\\n            \\\"mirostat_tau\\\": mirostat_tau,\\n            \\\"num_ctx\\\": num_ctx,\\n            \\\"num_gpu\\\": num_gpu,\\n            \\\"num_thread\\\": num_thread,\\n            \\\"repeat_last_n\\\": repeat_last_n,\\n            \\\"repeat_penalty\\\": repeat_penalty,\\n            \\\"temperature\\\": temperature,\\n            \\\"stop\\\": stop,\\n            \\\"system\\\": system,\\n            \\\"template\\\": template,\\n            \\\"tfs_z\\\": tfs_z,\\n            \\\"timeout\\\": timeout,\\n            \\\"top_k\\\": top_k,\\n            \\\"top_p\\\": top_p,\\n            \\\"verbose\\\": verbose,\\n        }\\n\\n        # None Value remove\\n        llm_params = {k: v for k, v in llm_params.items() if v is not None}\\n\\n        try:\\n            output = ChatOllama(**llm_params)  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not initialize Ollama LLM.\\\") from e\\n\\n        return output  # type: ignore\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"format\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"format\",\"display_name\":\"Format\",\"advanced\":true,\"dynamic\":false,\"info\":\"Specify the format of the output (e.g., json).\",\"title_case\":false,\"input_types\":[\"Text\"]},\"mirostat\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"Disabled\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"Disabled\",\"Mirostat\",\"Mirostat 2.0\"],\"name\":\"mirostat\",\"display_name\":\"Mirostat\",\"advanced\":true,\"dynamic\":false,\"info\":\"Enable/disable Mirostat sampling for controlling perplexity.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"mirostat_eta\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"mirostat_eta\",\"display_name\":\"Mirostat Eta\",\"advanced\":true,\"dynamic\":false,\"info\":\"Learning rate for Mirostat algorithm. (Default: 0.1)\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"mirostat_tau\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"mirostat_tau\",\"display_name\":\"Mirostat Tau\",\"advanced\":true,\"dynamic\":false,\"info\":\"Controls the balance between coherence and diversity of the output. (Default: 5.0)\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"model\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"llama2\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"model\",\"display_name\":\"Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"Refer to https://ollama.ai/library for more models.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"num_ctx\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"num_ctx\",\"display_name\":\"Context Window Size\",\"advanced\":true,\"dynamic\":false,\"info\":\"Size of the context window for generating tokens. (Default: 2048)\",\"title_case\":false},\"num_gpu\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"num_gpu\",\"display_name\":\"Number of GPUs\",\"advanced\":true,\"dynamic\":false,\"info\":\"Number of GPUs to use for computation. (Default: 1 on macOS, 0 to disable)\",\"title_case\":false},\"num_thread\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"num_thread\",\"display_name\":\"Number of Threads\",\"advanced\":true,\"dynamic\":false,\"info\":\"Number of threads to use during computation. (Default: detected for optimal performance)\",\"title_case\":false},\"repeat_last_n\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"repeat_last_n\",\"display_name\":\"Repeat Last N\",\"advanced\":true,\"dynamic\":false,\"info\":\"How far back the model looks to prevent repetition. (Default: 64, 0 = disabled, -1 = num_ctx)\",\"title_case\":false},\"repeat_penalty\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"repeat_penalty\",\"display_name\":\"Repeat Penalty\",\"advanced\":true,\"dynamic\":false,\"info\":\"Penalty for repetitions in generated text. (Default: 1.1)\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"system\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"system\",\"display_name\":\"System\",\"advanced\":true,\"dynamic\":false,\"info\":\"System to use for generating text.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.8,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"Controls the creativity of model responses.\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"template\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"template\",\"display_name\":\"Template\",\"advanced\":true,\"dynamic\":false,\"info\":\"Template to use for generating text.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"tfs_z\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tfs_z\",\"display_name\":\"TFS Z\",\"advanced\":true,\"dynamic\":false,\"info\":\"Tail free sampling value. (Default: 1)\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"timeout\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"timeout\",\"display_name\":\"Timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"Timeout for the request stream.\",\"title_case\":false},\"top_k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_k\",\"display_name\":\"Top K\",\"advanced\":true,\"dynamic\":false,\"info\":\"Limits token selection to top K. (Default: 40)\",\"title_case\":false},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_p\",\"display_name\":\"Top P\",\"advanced\":true,\"dynamic\":false,\"info\":\"Works together with top-k. (Default: 0.9)\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"verbose\",\"display_name\":\"Verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"Whether to print out response text.\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Local LLM for chat with Ollama.\",\"base_classes\":[\"BaseLanguageModel\",\"Runnable\",\"Generic\",\"RunnableSerializable\",\"Serializable\",\"object\",\"BaseChatModel\"],\"display_name\":\"ChatOllama\",\"documentation\":\"\",\"custom_fields\":{\"base_url\":null,\"model\":null,\"mirostat\":null,\"mirostat_eta\":null,\"mirostat_tau\":null,\"repeat_last_n\":null,\"verbose\":null,\"cache\":null,\"num_ctx\":null,\"num_gpu\":null,\"format\":null,\"metadata\":null,\"num_thread\":null,\"repeat_penalty\":null,\"stop\":null,\"system\":null,\"tags\":null,\"temperature\":null,\"template\":null,\"tfs_z\":null,\"timeout\":null,\"top_k\":null,\"top_p\":null},\"output_types\":[\"BaseChatModel\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"BaiduQianfanChatEndpointsSpecs\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain_community.chat_models.baidu_qianfan_endpoint import QianfanChatEndpoint\\nfrom langchain.llms.base import BaseLLM\\nfrom pydantic.v1 import SecretStr\\n\\nfrom langflow import CustomComponent\\n\\n\\nclass QianfanChatEndpointComponent(CustomComponent):\\n    display_name: str = \\\"QianfanChatEndpoint\\\"\\n    description: str = (\\n        \\\"Baidu Qianfan chat models. Get more detail from \\\"\\n        \\\"https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint.\\\"\\n    )\\n\\n    def build_config(self):\\n        return {\\n            \\\"model\\\": {\\n                \\\"display_name\\\": \\\"Model Name\\\",\\n                \\\"options\\\": [\\n                    \\\"ERNIE-Bot\\\",\\n                    \\\"ERNIE-Bot-turbo\\\",\\n                    \\\"BLOOMZ-7B\\\",\\n                    \\\"Llama-2-7b-chat\\\",\\n                    \\\"Llama-2-13b-chat\\\",\\n                    \\\"Llama-2-70b-chat\\\",\\n                    \\\"Qianfan-BLOOMZ-7B-compressed\\\",\\n                    \\\"Qianfan-Chinese-Llama-2-7B\\\",\\n                    \\\"ChatGLM2-6B-32K\\\",\\n                    \\\"AquilaChat-7B\\\",\\n                ],\\n                \\\"info\\\": \\\"https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\\\",\\n                \\\"required\\\": True,\\n            },\\n            \\\"qianfan_ak\\\": {\\n                \\\"display_name\\\": \\\"Qianfan Ak\\\",\\n                \\\"required\\\": True,\\n                \\\"password\\\": True,\\n                \\\"info\\\": \\\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\\\",\\n            },\\n            \\\"qianfan_sk\\\": {\\n                \\\"display_name\\\": \\\"Qianfan Sk\\\",\\n                \\\"required\\\": True,\\n                \\\"password\\\": True,\\n                \\\"info\\\": \\\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\\\",\\n            },\\n            \\\"top_p\\\": {\\n                \\\"display_name\\\": \\\"Top p\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n                \\\"value\\\": 0.8,\\n            },\\n            \\\"temperature\\\": {\\n                \\\"display_name\\\": \\\"Temperature\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n                \\\"value\\\": 0.95,\\n            },\\n            \\\"penalty_score\\\": {\\n                \\\"display_name\\\": \\\"Penalty Score\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n                \\\"value\\\": 1.0,\\n            },\\n            \\\"endpoint\\\": {\\n                \\\"display_name\\\": \\\"Endpoint\\\",\\n                \\\"info\\\": \\\"Endpoint of the Qianfan LLM, required if custom model used.\\\",\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model: str = \\\"ERNIE-Bot-turbo\\\",\\n        qianfan_ak: Optional[str] = None,\\n        qianfan_sk: Optional[str] = None,\\n        top_p: Optional[float] = None,\\n        temperature: Optional[float] = None,\\n        penalty_score: Optional[float] = None,\\n        endpoint: Optional[str] = None,\\n    ) -> BaseLLM:\\n        try:\\n            output = QianfanChatEndpoint(  # type: ignore\\n                model=model,\\n                qianfan_ak=SecretStr(qianfan_ak) if qianfan_ak else None,\\n                qianfan_sk=SecretStr(qianfan_sk) if qianfan_sk else None,\\n                top_p=top_p,\\n                temperature=temperature,\\n                penalty_score=penalty_score,\\n                endpoint=endpoint,\\n            )\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to Baidu Qianfan API.\\\") from e\\n        return output  # type: ignore\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"endpoint\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"endpoint\",\"display_name\":\"Endpoint\",\"advanced\":false,\"dynamic\":false,\"info\":\"Endpoint of the Qianfan LLM, required if custom model used.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"model\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"ERNIE-Bot-turbo\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"ERNIE-Bot\",\"ERNIE-Bot-turbo\",\"BLOOMZ-7B\",\"Llama-2-7b-chat\",\"Llama-2-13b-chat\",\"Llama-2-70b-chat\",\"Qianfan-BLOOMZ-7B-compressed\",\"Qianfan-Chinese-Llama-2-7B\",\"ChatGLM2-6B-32K\",\"AquilaChat-7B\"],\"name\":\"model\",\"display_name\":\"Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\",\"title_case\":false,\"input_types\":[\"Text\"]},\"penalty_score\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1.0,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"penalty_score\",\"display_name\":\"Penalty Score\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"qianfan_ak\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"qianfan_ak\",\"display_name\":\"Qianfan Ak\",\"advanced\":false,\"dynamic\":false,\"info\":\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\",\"title_case\":false,\"input_types\":[\"Text\"]},\"qianfan_sk\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"qianfan_sk\",\"display_name\":\"Qianfan Sk\",\"advanced\":false,\"dynamic\":false,\"info\":\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\",\"title_case\":false,\"input_types\":[\"Text\"]},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.95,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.8,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_p\",\"display_name\":\"Top p\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Baidu Qianfan chat models. Get more detail from https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint.\",\"base_classes\":[\"BaseLanguageModel\",\"Runnable\",\"Generic\",\"RunnableSerializable\",\"Serializable\",\"object\",\"BaseLLM\"],\"display_name\":\"QianfanChatEndpoint\",\"documentation\":\"\",\"custom_fields\":{\"model\":null,\"qianfan_ak\":null,\"qianfan_sk\":null,\"top_p\":null,\"temperature\":null,\"penalty_score\":null,\"endpoint\":null},\"output_types\":[\"BaseLLM\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"LlamaCppSpecs\":{\"template\":{\"metadata\":{\"type\":\"Dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"model_kwargs\":{\"type\":\"Dict\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"model_kwargs\",\"display_name\":\"Model Kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"model_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[\".bin\"],\"file_path\":\"\",\"password\":false,\"name\":\"model_path\",\"display_name\":\"Model Path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"cache\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"cache\",\"display_name\":\"Cache\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"client\",\"display_name\":\"Client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional, List, Dict, Any\\nfrom langflow import CustomComponent\\nfrom langchain_community.llms.llamacpp import LlamaCpp\\n\\n\\nclass LlamaCppComponent(CustomComponent):\\n    display_name = \\\"LlamaCpp\\\"\\n    description = \\\"llama.cpp model.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/llamacpp\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"grammar\\\": {\\\"display_name\\\": \\\"Grammar\\\", \\\"advanced\\\": True},\\n            \\\"cache\\\": {\\\"display_name\\\": \\\"Cache\\\", \\\"advanced\\\": True},\\n            \\\"client\\\": {\\\"display_name\\\": \\\"Client\\\", \\\"advanced\\\": True},\\n            \\\"echo\\\": {\\\"display_name\\\": \\\"Echo\\\", \\\"advanced\\\": True},\\n            \\\"f16_kv\\\": {\\\"display_name\\\": \\\"F16 KV\\\", \\\"advanced\\\": True},\\n            \\\"grammar_path\\\": {\\\"display_name\\\": \\\"Grammar Path\\\", \\\"advanced\\\": True},\\n            \\\"last_n_tokens_size\\\": {\\\"display_name\\\": \\\"Last N Tokens Size\\\", \\\"advanced\\\": True},\\n            \\\"logits_all\\\": {\\\"display_name\\\": \\\"Logits All\\\", \\\"advanced\\\": True},\\n            \\\"logprobs\\\": {\\\"display_name\\\": \\\"Logprobs\\\", \\\"advanced\\\": True},\\n            \\\"lora_base\\\": {\\\"display_name\\\": \\\"Lora Base\\\", \\\"advanced\\\": True},\\n            \\\"lora_path\\\": {\\\"display_name\\\": \\\"Lora Path\\\", \\\"advanced\\\": True},\\n            \\\"max_tokens\\\": {\\\"display_name\\\": \\\"Max Tokens\\\", \\\"advanced\\\": True},\\n            \\\"metadata\\\": {\\\"display_name\\\": \\\"Metadata\\\", \\\"advanced\\\": True},\\n            \\\"model_kwargs\\\": {\\\"display_name\\\": \\\"Model Kwargs\\\", \\\"advanced\\\": True},\\n            \\\"model_path\\\": {\\n                \\\"display_name\\\": \\\"Model Path\\\",\\n                \\\"field_type\\\": \\\"file\\\",\\n                \\\"file_types\\\": [\\\".bin\\\"],\\n                \\\"required\\\": True,\\n            },\\n            \\\"n_batch\\\": {\\\"display_name\\\": \\\"N Batch\\\", \\\"advanced\\\": True},\\n            \\\"n_ctx\\\": {\\\"display_name\\\": \\\"N Ctx\\\", \\\"advanced\\\": True},\\n            \\\"n_gpu_layers\\\": {\\\"display_name\\\": \\\"N GPU Layers\\\", \\\"advanced\\\": True},\\n            \\\"n_parts\\\": {\\\"display_name\\\": \\\"N Parts\\\", \\\"advanced\\\": True},\\n            \\\"n_threads\\\": {\\\"display_name\\\": \\\"N Threads\\\", \\\"advanced\\\": True},\\n            \\\"repeat_penalty\\\": {\\\"display_name\\\": \\\"Repeat Penalty\\\", \\\"advanced\\\": True},\\n            \\\"rope_freq_base\\\": {\\\"display_name\\\": \\\"Rope Freq Base\\\", \\\"advanced\\\": True},\\n            \\\"rope_freq_scale\\\": {\\\"display_name\\\": \\\"Rope Freq Scale\\\", \\\"advanced\\\": True},\\n            \\\"seed\\\": {\\\"display_name\\\": \\\"Seed\\\", \\\"advanced\\\": True},\\n            \\\"stop\\\": {\\\"display_name\\\": \\\"Stop\\\", \\\"advanced\\\": True},\\n            \\\"streaming\\\": {\\\"display_name\\\": \\\"Streaming\\\", \\\"advanced\\\": True},\\n            \\\"suffix\\\": {\\\"display_name\\\": \\\"Suffix\\\", \\\"advanced\\\": True},\\n            \\\"tags\\\": {\\\"display_name\\\": \\\"Tags\\\", \\\"advanced\\\": True},\\n            \\\"temperature\\\": {\\\"display_name\\\": \\\"Temperature\\\"},\\n            \\\"top_k\\\": {\\\"display_name\\\": \\\"Top K\\\", \\\"advanced\\\": True},\\n            \\\"top_p\\\": {\\\"display_name\\\": \\\"Top P\\\", \\\"advanced\\\": True},\\n            \\\"use_mlock\\\": {\\\"display_name\\\": \\\"Use Mlock\\\", \\\"advanced\\\": True},\\n            \\\"use_mmap\\\": {\\\"display_name\\\": \\\"Use Mmap\\\", \\\"advanced\\\": True},\\n            \\\"verbose\\\": {\\\"display_name\\\": \\\"Verbose\\\", \\\"advanced\\\": True},\\n            \\\"vocab_only\\\": {\\\"display_name\\\": \\\"Vocab Only\\\", \\\"advanced\\\": True},\\n        }\\n\\n    def build(\\n        self,\\n        model_path: str,\\n        grammar: Optional[str] = None,\\n        cache: Optional[bool] = None,\\n        client: Optional[Any] = None,\\n        echo: Optional[bool] = False,\\n        f16_kv: bool = True,\\n        grammar_path: Optional[str] = None,\\n        last_n_tokens_size: Optional[int] = 64,\\n        logits_all: bool = False,\\n        logprobs: Optional[int] = None,\\n        lora_base: Optional[str] = None,\\n        lora_path: Optional[str] = None,\\n        max_tokens: Optional[int] = 256,\\n        metadata: Optional[Dict] = None,\\n        model_kwargs: Dict = {},\\n        n_batch: Optional[int] = 8,\\n        n_ctx: int = 512,\\n        n_gpu_layers: Optional[int] = 1,\\n        n_parts: int = -1,\\n        n_threads: Optional[int] = 1,\\n        repeat_penalty: Optional[float] = 1.1,\\n        rope_freq_base: float = 10000.0,\\n        rope_freq_scale: float = 1.0,\\n        seed: int = -1,\\n        stop: Optional[List[str]] = [],\\n        streaming: bool = True,\\n        suffix: Optional[str] = \\\"\\\",\\n        tags: Optional[List[str]] = [],\\n        temperature: Optional[float] = 0.8,\\n        top_k: Optional[int] = 40,\\n        top_p: Optional[float] = 0.95,\\n        use_mlock: bool = False,\\n        use_mmap: Optional[bool] = True,\\n        verbose: bool = True,\\n        vocab_only: bool = False,\\n    ) -> LlamaCpp:\\n        return LlamaCpp(\\n            model_path=model_path,\\n            grammar=grammar,\\n            cache=cache,\\n            client=client,\\n            echo=echo,\\n            f16_kv=f16_kv,\\n            grammar_path=grammar_path,\\n            last_n_tokens_size=last_n_tokens_size,\\n            logits_all=logits_all,\\n            logprobs=logprobs,\\n            lora_base=lora_base,\\n            lora_path=lora_path,\\n            max_tokens=max_tokens,\\n            metadata=metadata,\\n            model_kwargs=model_kwargs,\\n            n_batch=n_batch,\\n            n_ctx=n_ctx,\\n            n_gpu_layers=n_gpu_layers,\\n            n_parts=n_parts,\\n            n_threads=n_threads,\\n            repeat_penalty=repeat_penalty,\\n            rope_freq_base=rope_freq_base,\\n            rope_freq_scale=rope_freq_scale,\\n            seed=seed,\\n            stop=stop,\\n            streaming=streaming,\\n            suffix=suffix,\\n            tags=tags,\\n            temperature=temperature,\\n            top_k=top_k,\\n            top_p=top_p,\\n            use_mlock=use_mlock,\\n            use_mmap=use_mmap,\\n            verbose=verbose,\\n            vocab_only=vocab_only,\\n        )\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"echo\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"echo\",\"display_name\":\"Echo\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"f16_kv\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"f16_kv\",\"display_name\":\"F16 KV\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"grammar\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"grammar\",\"display_name\":\"Grammar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"grammar_path\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"grammar_path\",\"display_name\":\"Grammar Path\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"last_n_tokens_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":64,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"last_n_tokens_size\",\"display_name\":\"Last N Tokens Size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"logits_all\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"logits_all\",\"display_name\":\"Logits All\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"logprobs\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"logprobs\",\"display_name\":\"Logprobs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"lora_base\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"lora_base\",\"display_name\":\"Lora Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"lora_path\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"lora_path\",\"display_name\":\"Lora Path\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"max_tokens\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":256,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"max_tokens\",\"display_name\":\"Max Tokens\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"n_batch\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":8,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"n_batch\",\"display_name\":\"N Batch\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"n_ctx\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":512,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"n_ctx\",\"display_name\":\"N Ctx\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"n_gpu_layers\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"n_gpu_layers\",\"display_name\":\"N GPU Layers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"n_parts\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":-1,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"n_parts\",\"display_name\":\"N Parts\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"n_threads\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"n_threads\",\"display_name\":\"N Threads\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"repeat_penalty\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1.1,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"repeat_penalty\",\"display_name\":\"Repeat Penalty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"rope_freq_base\":{\"type\":\"float\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":10000.0,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"rope_freq_base\",\"display_name\":\"Rope Freq Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"rope_freq_scale\":{\"type\":\"float\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1.0,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"rope_freq_scale\",\"display_name\":\"Rope Freq Scale\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"seed\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":-1,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"seed\",\"display_name\":\"Seed\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"stop\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":[],\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"stop\",\"display_name\":\"Stop\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"streaming\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"streaming\",\"display_name\":\"Streaming\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"suffix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"suffix\",\"display_name\":\"Suffix\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":[],\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"display_name\":\"Tags\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.8,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"top_k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":40,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_k\",\"display_name\":\"Top K\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.95,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_p\",\"display_name\":\"Top P\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"use_mlock\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"use_mlock\",\"display_name\":\"Use Mlock\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"use_mmap\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"use_mmap\",\"display_name\":\"Use Mmap\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"verbose\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"verbose\",\"display_name\":\"Verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"vocab_only\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"vocab_only\",\"display_name\":\"Vocab Only\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"llama.cpp model.\",\"base_classes\":[\"BaseLanguageModel\",\"Runnable\",\"Generic\",\"LlamaCpp\",\"RunnableSerializable\",\"Serializable\",\"object\",\"BaseLLM\",\"LLM\"],\"display_name\":\"LlamaCpp\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/llamacpp\",\"custom_fields\":{\"model_path\":null,\"grammar\":null,\"cache\":null,\"client\":null,\"echo\":null,\"f16_kv\":null,\"grammar_path\":null,\"last_n_tokens_size\":null,\"logits_all\":null,\"logprobs\":null,\"lora_base\":null,\"lora_path\":null,\"max_tokens\":null,\"metadata\":null,\"model_kwargs\":null,\"n_batch\":null,\"n_ctx\":null,\"n_gpu_layers\":null,\"n_parts\":null,\"n_threads\":null,\"repeat_penalty\":null,\"rope_freq_base\":null,\"rope_freq_scale\":null,\"seed\":null,\"stop\":null,\"streaming\":null,\"suffix\":null,\"tags\":null,\"temperature\":null,\"top_k\":null,\"top_p\":null,\"use_mlock\":null,\"use_mmap\":null,\"verbose\":null,\"vocab_only\":null},\"output_types\":[\"LlamaCpp\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"AnthropicSpecs\":{\"template\":{\"anthropic_api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"anthropic_api_key\",\"display_name\":\"Anthropic API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"anthropic_api_url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"anthropic_api_url\",\"display_name\":\"Anthropic API URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain_community.llms.anthropic import Anthropic\\nfrom pydantic.v1 import SecretStr\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseLanguageModel, NestedDict\\n\\n\\nclass AnthropicComponent(CustomComponent):\\n    display_name = \\\"Anthropic\\\"\\n    description = \\\"Anthropic large language models.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"anthropic_api_key\\\": {\\n                \\\"display_name\\\": \\\"Anthropic API Key\\\",\\n                \\\"type\\\": str,\\n                \\\"password\\\": True,\\n            },\\n            \\\"anthropic_api_url\\\": {\\n                \\\"display_name\\\": \\\"Anthropic API URL\\\",\\n                \\\"type\\\": str,\\n            },\\n            \\\"model_kwargs\\\": {\\n                \\\"display_name\\\": \\\"Model Kwargs\\\",\\n                \\\"field_type\\\": \\\"NestedDict\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"temperature\\\": {\\n                \\\"display_name\\\": \\\"Temperature\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n            },\\n        }\\n\\n    def build(\\n        self,\\n        anthropic_api_key: str,\\n        anthropic_api_url: str,\\n        model_kwargs: NestedDict = {},\\n        temperature: Optional[float] = None,\\n    ) -> BaseLanguageModel:\\n        return Anthropic(\\n            anthropic_api_key=SecretStr(anthropic_api_key),\\n            anthropic_api_url=anthropic_api_url,\\n            model_kwargs=model_kwargs,\\n            temperature=temperature,\\n        )\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"model_kwargs\":{\"type\":\"NestedDict\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"model_kwargs\",\"display_name\":\"Model Kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Anthropic large language models.\",\"base_classes\":[\"BaseLanguageModel\",\"Runnable\",\"Generic\",\"RunnableSerializable\",\"Serializable\",\"object\"],\"display_name\":\"Anthropic\",\"documentation\":\"\",\"custom_fields\":{\"anthropic_api_key\":null,\"anthropic_api_url\":null,\"model_kwargs\":null,\"temperature\":null},\"output_types\":[\"BaseLanguageModel\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"AnthropicLLMSpecs\":{\"template\":{\"anthropic_api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"anthropic_api_key\",\"display_name\":\"Anthropic API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"Your Anthropic API key.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"api_endpoint\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"api_endpoint\",\"display_name\":\"API Endpoint\",\"advanced\":false,\"dynamic\":false,\"info\":\"Endpoint of the Anthropic API. Defaults to 'https://api.anthropic.com' if not specified.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain_community.chat_models.anthropic import ChatAnthropic\\nfrom langchain.llms.base import BaseLanguageModel\\nfrom pydantic.v1 import SecretStr\\n\\nfrom langflow import CustomComponent\\n\\n\\nclass AnthropicLLM(CustomComponent):\\n    display_name: str = \\\"AnthropicLLM\\\"\\n    description: str = \\\"Anthropic Chat&Completion large language models.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"model\\\": {\\n                \\\"display_name\\\": \\\"Model Name\\\",\\n                \\\"options\\\": [\\n                    \\\"claude-2.1\\\",\\n                    \\\"claude-2.0\\\",\\n                    \\\"claude-instant-1.2\\\",\\n                    \\\"claude-instant-1\\\",\\n                    # Add more models as needed\\n                ],\\n                \\\"info\\\": \\\"https://python.langchain.com/docs/integrations/chat/anthropic\\\",\\n                \\\"required\\\": True,\\n                \\\"value\\\": \\\"claude-2.1\\\",\\n            },\\n            \\\"anthropic_api_key\\\": {\\n                \\\"display_name\\\": \\\"Anthropic API Key\\\",\\n                \\\"required\\\": True,\\n                \\\"password\\\": True,\\n                \\\"info\\\": \\\"Your Anthropic API key.\\\",\\n            },\\n            \\\"max_tokens\\\": {\\n                \\\"display_name\\\": \\\"Max Tokens\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 256,\\n            },\\n            \\\"temperature\\\": {\\n                \\\"display_name\\\": \\\"Temperature\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"value\\\": 0.7,\\n            },\\n            \\\"api_endpoint\\\": {\\n                \\\"display_name\\\": \\\"API Endpoint\\\",\\n                \\\"info\\\": \\\"Endpoint of the Anthropic API. Defaults to 'https://api.anthropic.com' if not specified.\\\",\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model: str,\\n        anthropic_api_key: Optional[str] = None,\\n        max_tokens: Optional[int] = None,\\n        temperature: Optional[float] = None,\\n        api_endpoint: Optional[str] = None,\\n    ) -> BaseLanguageModel:\\n        # Set default API endpoint if not provided\\n        if not api_endpoint:\\n            api_endpoint = \\\"https://api.anthropic.com\\\"\\n\\n        try:\\n            output = ChatAnthropic(\\n                model_name=model,\\n                anthropic_api_key=SecretStr(anthropic_api_key) if anthropic_api_key else None,\\n                max_tokens_to_sample=max_tokens,  # type: ignore\\n                temperature=temperature,\\n                anthropic_api_url=api_endpoint,\\n            )\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to Anthropic API.\\\") from e\\n        return output\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"max_tokens\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":256,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"max_tokens\",\"display_name\":\"Max Tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"model\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"claude-2.1\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"claude-2.1\",\"claude-2.0\",\"claude-instant-1.2\",\"claude-instant-1\"],\"name\":\"model\",\"display_name\":\"Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"https://python.langchain.com/docs/integrations/chat/anthropic\",\"title_case\":false,\"input_types\":[\"Text\"]},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.7,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Anthropic Chat&Completion large language models.\",\"base_classes\":[\"BaseLanguageModel\",\"Runnable\",\"Generic\",\"RunnableSerializable\",\"Serializable\",\"object\"],\"display_name\":\"AnthropicLLM\",\"documentation\":\"\",\"custom_fields\":{\"model\":null,\"anthropic_api_key\":null,\"max_tokens\":null,\"temperature\":null,\"api_endpoint\":null},\"output_types\":[\"BaseLanguageModel\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"CohereSpecs\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langchain_community.llms.cohere import Cohere\\nfrom langchain_core.language_models.base import BaseLanguageModel\\nfrom langflow import CustomComponent\\n\\n\\nclass CohereComponent(CustomComponent):\\n    display_name = \\\"Cohere\\\"\\n    description = \\\"Cohere large language models.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/cohere\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"cohere_api_key\\\": {\\\"display_name\\\": \\\"Cohere API Key\\\", \\\"type\\\": \\\"password\\\", \\\"password\\\": True},\\n            \\\"max_tokens\\\": {\\\"display_name\\\": \\\"Max Tokens\\\", \\\"default\\\": 256, \\\"type\\\": \\\"int\\\", \\\"show\\\": True},\\n            \\\"temperature\\\": {\\\"display_name\\\": \\\"Temperature\\\", \\\"default\\\": 0.75, \\\"type\\\": \\\"float\\\", \\\"show\\\": True},\\n        }\\n\\n    def build(\\n        self,\\n        cohere_api_key: str,\\n        max_tokens: int = 256,\\n        temperature: float = 0.75,\\n    ) -> BaseLanguageModel:\\n        return Cohere(cohere_api_key=cohere_api_key, max_tokens=max_tokens, temperature=temperature)  # type: ignore\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"cohere_api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"cohere_api_key\",\"display_name\":\"Cohere API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"max_tokens\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":256,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"max_tokens\",\"display_name\":\"Max Tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"temperature\":{\"type\":\"float\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.75,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Cohere large language models.\",\"base_classes\":[\"BaseLanguageModel\",\"Runnable\",\"Generic\",\"RunnableSerializable\",\"Serializable\",\"object\"],\"display_name\":\"Cohere\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/cohere\",\"custom_fields\":{\"cohere_api_key\":null,\"max_tokens\":null,\"temperature\":null},\"output_types\":[\"BaseLanguageModel\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"GoogleGenerativeAISpecs\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain_google_genai import ChatGoogleGenerativeAI  # type: ignore\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseLanguageModel, RangeSpec\\nfrom pydantic.v1.types import SecretStr\\n\\n\\nclass GoogleGenerativeAIComponent(CustomComponent):\\n    display_name: str = \\\"Google Generative AI\\\"\\n    description: str = \\\"A component that uses Google Generative AI to generate text.\\\"\\n    documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"google_api_key\\\": {\\n                \\\"display_name\\\": \\\"Google API Key\\\",\\n                \\\"info\\\": \\\"The Google API Key to use for the Google Generative AI.\\\",\\n            },\\n            \\\"max_output_tokens\\\": {\\n                \\\"display_name\\\": \\\"Max Output Tokens\\\",\\n                \\\"info\\\": \\\"The maximum number of tokens to generate.\\\",\\n            },\\n            \\\"temperature\\\": {\\n                \\\"display_name\\\": \\\"Temperature\\\",\\n                \\\"info\\\": \\\"Run inference with this temperature. Must by in the closed interval [0.0, 1.0].\\\",\\n            },\\n            \\\"top_k\\\": {\\n                \\\"display_name\\\": \\\"Top K\\\",\\n                \\\"info\\\": \\\"Decode using top-k sampling: consider the set of top_k most probable tokens. Must be positive.\\\",\\n                \\\"range_spec\\\": RangeSpec(min=0, max=2, step=0.1),\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"top_p\\\": {\\n                \\\"display_name\\\": \\\"Top P\\\",\\n                \\\"info\\\": \\\"The maximum cumulative probability of tokens to consider when sampling.\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"n\\\": {\\n                \\\"display_name\\\": \\\"N\\\",\\n                \\\"info\\\": \\\"Number of chat completions to generate for each prompt. Note that the API may not return the full n completions if duplicates are generated.\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"model\\\": {\\n                \\\"display_name\\\": \\\"Model\\\",\\n                \\\"info\\\": \\\"The name of the model to use. Supported examples: gemini-pro\\\",\\n                \\\"options\\\": [\\\"gemini-pro\\\", \\\"gemini-pro-vision\\\"],\\n            },\\n            \\\"code\\\": {\\n                \\\"advanced\\\": True,\\n            },\\n        }\\n\\n    def build(\\n        self,\\n        google_api_key: str,\\n        model: str,\\n        max_output_tokens: Optional[int] = None,\\n        temperature: float = 0.1,\\n        top_k: Optional[int] = None,\\n        top_p: Optional[float] = None,\\n        n: Optional[int] = 1,\\n    ) -> BaseLanguageModel:\\n        return ChatGoogleGenerativeAI(\\n            model=model,\\n            max_output_tokens=max_output_tokens or None,  # type: ignore\\n            temperature=temperature,\\n            top_k=top_k or None,\\n            top_p=top_p or None,  # type: ignore\\n            n=n or 1,\\n            google_api_key=SecretStr(google_api_key),\\n        )\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"google_api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"google_api_key\",\"display_name\":\"Google API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The Google API Key to use for the Google Generative AI.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"max_output_tokens\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"max_output_tokens\",\"display_name\":\"Max Output Tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"The maximum number of tokens to generate.\",\"title_case\":false},\"model\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"gemini-pro\",\"gemini-pro-vision\"],\"name\":\"model\",\"display_name\":\"Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"The name of the model to use. Supported examples: gemini-pro\",\"title_case\":false,\"input_types\":[\"Text\"]},\"n\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"n\",\"display_name\":\"N\",\"advanced\":true,\"dynamic\":false,\"info\":\"Number of chat completions to generate for each prompt. Note that the API may not return the full n completions if duplicates are generated.\",\"title_case\":false},\"temperature\":{\"type\":\"float\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.1,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"Run inference with this temperature. Must by in the closed interval [0.0, 1.0].\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"top_k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_k\",\"display_name\":\"Top K\",\"advanced\":true,\"dynamic\":false,\"info\":\"Decode using top-k sampling: consider the set of top_k most probable tokens. Must be positive.\",\"rangeSpec\":{\"min\":0.0,\"max\":2.0,\"step\":0.1},\"title_case\":false},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_p\",\"display_name\":\"Top P\",\"advanced\":true,\"dynamic\":false,\"info\":\"The maximum cumulative probability of tokens to consider when sampling.\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"A component that uses Google Generative AI to generate text.\",\"base_classes\":[\"BaseLanguageModel\",\"Runnable\",\"Generic\",\"RunnableSerializable\",\"Serializable\",\"object\"],\"display_name\":\"Google Generative AI\",\"documentation\":\"http://docs.langflow.org/components/custom\",\"custom_fields\":{\"google_api_key\":null,\"model\":null,\"max_output_tokens\":null,\"temperature\":null,\"top_k\":null,\"top_p\":null,\"n\":null},\"output_types\":[\"BaseLanguageModel\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"BaiduQianfanLLMEndpointsSpecs\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.llms.baidu_qianfan_endpoint import QianfanLLMEndpoint\\nfrom langchain.llms.base import BaseLLM\\n\\n\\nclass QianfanLLMEndpointComponent(CustomComponent):\\n    display_name: str = \\\"QianfanLLMEndpoint\\\"\\n    description: str = (\\n        \\\"Baidu Qianfan hosted open source or customized models. \\\"\\n        \\\"Get more detail from https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\\\"\\n    )\\n\\n    def build_config(self):\\n        return {\\n            \\\"model\\\": {\\n                \\\"display_name\\\": \\\"Model Name\\\",\\n                \\\"options\\\": [\\n                    \\\"ERNIE-Bot\\\",\\n                    \\\"ERNIE-Bot-turbo\\\",\\n                    \\\"BLOOMZ-7B\\\",\\n                    \\\"Llama-2-7b-chat\\\",\\n                    \\\"Llama-2-13b-chat\\\",\\n                    \\\"Llama-2-70b-chat\\\",\\n                    \\\"Qianfan-BLOOMZ-7B-compressed\\\",\\n                    \\\"Qianfan-Chinese-Llama-2-7B\\\",\\n                    \\\"ChatGLM2-6B-32K\\\",\\n                    \\\"AquilaChat-7B\\\",\\n                ],\\n                \\\"info\\\": \\\"https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\\\",\\n                \\\"required\\\": True,\\n            },\\n            \\\"qianfan_ak\\\": {\\n                \\\"display_name\\\": \\\"Qianfan Ak\\\",\\n                \\\"required\\\": True,\\n                \\\"password\\\": True,\\n                \\\"info\\\": \\\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\\\",\\n            },\\n            \\\"qianfan_sk\\\": {\\n                \\\"display_name\\\": \\\"Qianfan Sk\\\",\\n                \\\"required\\\": True,\\n                \\\"password\\\": True,\\n                \\\"info\\\": \\\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\\\",\\n            },\\n            \\\"top_p\\\": {\\n                \\\"display_name\\\": \\\"Top p\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n                \\\"value\\\": 0.8,\\n            },\\n            \\\"temperature\\\": {\\n                \\\"display_name\\\": \\\"Temperature\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n                \\\"value\\\": 0.95,\\n            },\\n            \\\"penalty_score\\\": {\\n                \\\"display_name\\\": \\\"Penalty Score\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n                \\\"value\\\": 1.0,\\n            },\\n            \\\"endpoint\\\": {\\n                \\\"display_name\\\": \\\"Endpoint\\\",\\n                \\\"info\\\": \\\"Endpoint of the Qianfan LLM, required if custom model used.\\\",\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model: str = \\\"ERNIE-Bot-turbo\\\",\\n        qianfan_ak: Optional[str] = None,\\n        qianfan_sk: Optional[str] = None,\\n        top_p: Optional[float] = None,\\n        temperature: Optional[float] = None,\\n        penalty_score: Optional[float] = None,\\n        endpoint: Optional[str] = None,\\n    ) -> BaseLLM:\\n        try:\\n            output = QianfanLLMEndpoint(  # type: ignore\\n                model=model,\\n                qianfan_ak=qianfan_ak,\\n                qianfan_sk=qianfan_sk,\\n                top_p=top_p,\\n                temperature=temperature,\\n                penalty_score=penalty_score,\\n                endpoint=endpoint,\\n            )\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to Baidu Qianfan API.\\\") from e\\n        return output  # type: ignore\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"endpoint\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"endpoint\",\"display_name\":\"Endpoint\",\"advanced\":false,\"dynamic\":false,\"info\":\"Endpoint of the Qianfan LLM, required if custom model used.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"model\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"ERNIE-Bot-turbo\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"ERNIE-Bot\",\"ERNIE-Bot-turbo\",\"BLOOMZ-7B\",\"Llama-2-7b-chat\",\"Llama-2-13b-chat\",\"Llama-2-70b-chat\",\"Qianfan-BLOOMZ-7B-compressed\",\"Qianfan-Chinese-Llama-2-7B\",\"ChatGLM2-6B-32K\",\"AquilaChat-7B\"],\"name\":\"model\",\"display_name\":\"Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\",\"title_case\":false,\"input_types\":[\"Text\"]},\"penalty_score\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1.0,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"penalty_score\",\"display_name\":\"Penalty Score\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"qianfan_ak\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"qianfan_ak\",\"display_name\":\"Qianfan Ak\",\"advanced\":false,\"dynamic\":false,\"info\":\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\",\"title_case\":false,\"input_types\":[\"Text\"]},\"qianfan_sk\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"qianfan_sk\",\"display_name\":\"Qianfan Sk\",\"advanced\":false,\"dynamic\":false,\"info\":\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\",\"title_case\":false,\"input_types\":[\"Text\"]},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.95,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.8,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_p\",\"display_name\":\"Top p\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Baidu Qianfan hosted open source or customized models. Get more detail from https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\",\"base_classes\":[\"BaseLanguageModel\",\"Runnable\",\"Generic\",\"RunnableSerializable\",\"Serializable\",\"object\",\"BaseLLM\"],\"display_name\":\"QianfanLLMEndpoint\",\"documentation\":\"\",\"custom_fields\":{\"model\":null,\"qianfan_ak\":null,\"qianfan_sk\":null,\"top_p\":null,\"temperature\":null,\"penalty_score\":null,\"endpoint\":null},\"output_types\":[\"BaseLLM\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"ChatLiteLLMSpecs\":{\"template\":{\"api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_key\",\"display_name\":\"API key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Any, Callable, Dict, Optional, Union\\n\\nfrom langchain_community.chat_models.litellm import ChatLiteLLM, ChatLiteLLMException\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseLanguageModel\\n\\n\\nclass ChatLiteLLMComponent(CustomComponent):\\n    display_name = \\\"ChatLiteLLM\\\"\\n    description = \\\"`LiteLLM` collection of large language models.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/integrations/chat/litellm\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"model\\\": {\\n                \\\"display_name\\\": \\\"Model name\\\",\\n                \\\"field_type\\\": \\\"str\\\",\\n                \\\"advanced\\\": False,\\n                \\\"required\\\": True,\\n                \\\"info\\\": \\\"The name of the model to use. For example, `gpt-3.5-turbo`.\\\",\\n            },\\n            \\\"api_key\\\": {\\n                \\\"display_name\\\": \\\"API key\\\",\\n                \\\"field_type\\\": \\\"str\\\",\\n                \\\"advanced\\\": False,\\n                \\\"required\\\": False,\\n                \\\"password\\\": True,\\n            },\\n            \\\"provider\\\": {\\n                \\\"display_name\\\": \\\"Provider\\\",\\n                \\\"info\\\": \\\"The provider of the API key.\\\",\\n                \\\"options\\\": [\\n                    \\\"OpenAI\\\",\\n                    \\\"Azure\\\",\\n                    \\\"Anthropic\\\",\\n                    \\\"Replicate\\\",\\n                    \\\"Cohere\\\",\\n                    \\\"OpenRouter\\\",\\n                ],\\n            },\\n            \\\"streaming\\\": {\\n                \\\"display_name\\\": \\\"Streaming\\\",\\n                \\\"field_type\\\": \\\"bool\\\",\\n                \\\"advanced\\\": True,\\n                \\\"required\\\": False,\\n                \\\"default\\\": True,\\n            },\\n            \\\"temperature\\\": {\\n                \\\"display_name\\\": \\\"Temperature\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"advanced\\\": False,\\n                \\\"required\\\": False,\\n                \\\"default\\\": 0.7,\\n            },\\n            \\\"model_kwargs\\\": {\\n                \\\"display_name\\\": \\\"Model kwargs\\\",\\n                \\\"field_type\\\": \\\"dict\\\",\\n                \\\"advanced\\\": True,\\n                \\\"required\\\": False,\\n                \\\"default\\\": {},\\n            },\\n            \\\"top_p\\\": {\\n                \\\"display_name\\\": \\\"Top p\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"advanced\\\": True,\\n                \\\"required\\\": False,\\n            },\\n            \\\"top_k\\\": {\\n                \\\"display_name\\\": \\\"Top k\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"advanced\\\": True,\\n                \\\"required\\\": False,\\n            },\\n            \\\"n\\\": {\\n                \\\"display_name\\\": \\\"N\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"advanced\\\": True,\\n                \\\"required\\\": False,\\n                \\\"info\\\": \\\"Number of chat completions to generate for each prompt. \\\"\\n                \\\"Note that the API may not return the full n completions if duplicates are generated.\\\",\\n                \\\"default\\\": 1,\\n            },\\n            \\\"max_tokens\\\": {\\n                \\\"display_name\\\": \\\"Max tokens\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"advanced\\\": False,\\n                \\\"required\\\": False,\\n                \\\"default\\\": 256,\\n                \\\"info\\\": \\\"The maximum number of tokens to generate for each chat completion.\\\",\\n            },\\n            \\\"max_retries\\\": {\\n                \\\"display_name\\\": \\\"Max retries\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"advanced\\\": True,\\n                \\\"required\\\": False,\\n                \\\"default\\\": 6,\\n            },\\n            \\\"verbose\\\": {\\n                \\\"display_name\\\": \\\"Verbose\\\",\\n                \\\"field_type\\\": \\\"bool\\\",\\n                \\\"advanced\\\": True,\\n                \\\"required\\\": False,\\n                \\\"default\\\": False,\\n            },\\n        }\\n\\n    def build(\\n        self,\\n        model: str,\\n        provider: str,\\n        api_key: Optional[str] = None,\\n        streaming: bool = True,\\n        temperature: Optional[float] = 0.7,\\n        model_kwargs: Optional[Dict[str, Any]] = {},\\n        top_p: Optional[float] = None,\\n        top_k: Optional[int] = None,\\n        n: int = 1,\\n        max_tokens: int = 256,\\n        max_retries: int = 6,\\n        verbose: bool = False,\\n    ) -> Union[BaseLanguageModel, Callable]:\\n        try:\\n            import litellm  # type: ignore\\n\\n            litellm.drop_params = True\\n            litellm.set_verbose = verbose\\n        except ImportError:\\n            raise ChatLiteLLMException(\\n                \\\"Could not import litellm python package. \\\" \\\"Please install it with `pip install litellm`\\\"\\n            )\\n        provider_map = {\\n            \\\"OpenAI\\\": \\\"openai_api_key\\\",\\n            \\\"Azure\\\": \\\"azure_api_key\\\",\\n            \\\"Anthropic\\\": \\\"anthropic_api_key\\\",\\n            \\\"Replicate\\\": \\\"replicate_api_key\\\",\\n            \\\"Cohere\\\": \\\"cohere_api_key\\\",\\n            \\\"OpenRouter\\\": \\\"openrouter_api_key\\\",\\n        }\\n        # Set the API key based on the provider\\n        kwarg = {provider_map[provider]: api_key}\\n\\n        LLM = ChatLiteLLM(\\n            model=model,\\n            client=None,\\n            streaming=streaming,\\n            temperature=temperature,\\n            model_kwargs=model_kwargs if model_kwargs is not None else {},\\n            top_p=top_p,\\n            top_k=top_k,\\n            n=n,\\n            max_tokens=max_tokens,\\n            max_retries=max_retries,\\n            **kwarg,\\n        )\\n        return LLM\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"max_retries\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":6,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"max_retries\",\"display_name\":\"Max retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"max_tokens\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":256,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"max_tokens\",\"display_name\":\"Max tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"The maximum number of tokens to generate for each chat completion.\",\"title_case\":false},\"model\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"model\",\"display_name\":\"Model name\",\"advanced\":false,\"dynamic\":false,\"info\":\"The name of the model to use. For example, `gpt-3.5-turbo`.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"model_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"model_kwargs\",\"display_name\":\"Model kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"n\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"n\",\"display_name\":\"N\",\"advanced\":true,\"dynamic\":false,\"info\":\"Number of chat completions to generate for each prompt. Note that the API may not return the full n completions if duplicates are generated.\",\"title_case\":false},\"provider\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"OpenAI\",\"Azure\",\"Anthropic\",\"Replicate\",\"Cohere\",\"OpenRouter\"],\"name\":\"provider\",\"display_name\":\"Provider\",\"advanced\":false,\"dynamic\":false,\"info\":\"The provider of the API key.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"streaming\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"streaming\",\"display_name\":\"Streaming\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.7,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"top_k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_k\",\"display_name\":\"Top k\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_p\",\"display_name\":\"Top p\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"verbose\",\"display_name\":\"Verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"`LiteLLM` collection of large language models.\",\"base_classes\":[\"BaseLanguageModel\",\"Runnable\",\"Generic\",\"RunnableSerializable\",\"Serializable\",\"object\",\"Callable\"],\"display_name\":\"ChatLiteLLM\",\"documentation\":\"https://python.langchain.com/docs/integrations/chat/litellm\",\"custom_fields\":{\"model\":null,\"provider\":null,\"api_key\":null,\"streaming\":null,\"temperature\":null,\"model_kwargs\":null,\"top_p\":null,\"top_k\":null,\"n\":null,\"max_tokens\":null,\"max_retries\":null,\"verbose\":null},\"output_types\":[\"BaseLanguageModel\",\"Callable\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"CTransformersSpecs\":{\"template\":{\"model_file\":{\"type\":\"file\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[\".bin\"],\"file_path\":\"\",\"password\":false,\"name\":\"model_file\",\"display_name\":\"Model File\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Dict, Optional\\n\\nfrom langchain_community.llms.ctransformers import CTransformers\\n\\nfrom langflow import CustomComponent\\n\\n\\nclass CTransformersComponent(CustomComponent):\\n    display_name = \\\"CTransformers\\\"\\n    description = \\\"C Transformers LLM models\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/ctransformers\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"model\\\": {\\\"display_name\\\": \\\"Model\\\", \\\"required\\\": True},\\n            \\\"model_file\\\": {\\n                \\\"display_name\\\": \\\"Model File\\\",\\n                \\\"required\\\": False,\\n                \\\"field_type\\\": \\\"file\\\",\\n                \\\"file_types\\\": [\\\".bin\\\"],\\n            },\\n            \\\"model_type\\\": {\\\"display_name\\\": \\\"Model Type\\\", \\\"required\\\": True},\\n            \\\"config\\\": {\\n                \\\"display_name\\\": \\\"Config\\\",\\n                \\\"advanced\\\": True,\\n                \\\"required\\\": False,\\n                \\\"field_type\\\": \\\"dict\\\",\\n                \\\"value\\\": '{\\\"top_k\\\":40,\\\"top_p\\\":0.95,\\\"temperature\\\":0.8,\\\"repetition_penalty\\\":1.1,\\\"last_n_tokens\\\":64,\\\"seed\\\":-1,\\\"max_new_tokens\\\":256,\\\"stop\\\":\\\"\\\",\\\"stream\\\":\\\"False\\\",\\\"reset\\\":\\\"True\\\",\\\"batch_size\\\":8,\\\"threads\\\":-1,\\\"context_length\\\":-1,\\\"gpu_layers\\\":0}',\\n            },\\n        }\\n\\n    def build(self, model: str, model_file: str, model_type: str, config: Optional[Dict] = None) -> CTransformers:\\n        return CTransformers(model=model, model_file=model_file, model_type=model_type, config=config)  # type: ignore\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"config\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{\\\"top_k\\\":40,\\\"top_p\\\":0.95,\\\"temperature\\\":0.8,\\\"repetition_penalty\\\":1.1,\\\"last_n_tokens\\\":64,\\\"seed\\\":-1,\\\"max_new_tokens\\\":256,\\\"stop\\\":\\\"\\\",\\\"stream\\\":\\\"False\\\",\\\"reset\\\":\\\"True\\\",\\\"batch_size\\\":8,\\\"threads\\\":-1,\\\"context_length\\\":-1,\\\"gpu_layers\\\":0}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"config\",\"display_name\":\"Config\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"model\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"model\",\"display_name\":\"Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"model_type\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"model_type\",\"display_name\":\"Model Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"description\":\"C Transformers LLM models\",\"base_classes\":[\"BaseLanguageModel\",\"Runnable\",\"Generic\",\"CTransformers\",\"RunnableSerializable\",\"Serializable\",\"object\",\"BaseLLM\",\"LLM\"],\"display_name\":\"CTransformers\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/ctransformers\",\"custom_fields\":{\"model\":null,\"model_file\":null,\"model_type\":null,\"config\":null},\"output_types\":[\"CTransformers\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"HuggingFaceEndpointsSpecs\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.llms.huggingface_endpoint import HuggingFaceEndpoint\\nfrom langflow import CustomComponent\\n\\n\\nclass HuggingFaceEndpointsComponent(CustomComponent):\\n    display_name: str = \\\"Hugging Face Inference API\\\"\\n    description: str = \\\"LLM model from Hugging Face Inference API.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Endpoint URL\\\", \\\"password\\\": True},\\n            \\\"task\\\": {\\n                \\\"display_name\\\": \\\"Task\\\",\\n                \\\"options\\\": [\\\"text2text-generation\\\", \\\"text-generation\\\", \\\"summarization\\\"],\\n            },\\n            \\\"huggingfacehub_api_token\\\": {\\\"display_name\\\": \\\"API token\\\", \\\"password\\\": True},\\n            \\\"model_kwargs\\\": {\\n                \\\"display_name\\\": \\\"Model Keyword Arguments\\\",\\n                \\\"field_type\\\": \\\"code\\\",\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        endpoint_url: str,\\n        task: str = \\\"text2text-generation\\\",\\n        huggingfacehub_api_token: Optional[str] = None,\\n        model_kwargs: Optional[dict] = None,\\n    ) -> BaseLLM:\\n        try:\\n            output = HuggingFaceEndpoint(  # type: ignore\\n                endpoint_url=endpoint_url,\\n                task=task,\\n                huggingfacehub_api_token=huggingfacehub_api_token,\\n                model_kwargs=model_kwargs or {},\\n            )\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to HuggingFace Endpoints API.\\\") from e\\n        return output\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"endpoint_url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"endpoint_url\",\"display_name\":\"Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"huggingfacehub_api_token\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"huggingfacehub_api_token\",\"display_name\":\"API token\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"model_kwargs\":{\"type\":\"code\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"model_kwargs\",\"display_name\":\"Model Keyword Arguments\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"task\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"text2text-generation\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"text2text-generation\",\"text-generation\",\"summarization\"],\"name\":\"task\",\"display_name\":\"Task\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"description\":\"LLM model from Hugging Face Inference API.\",\"base_classes\":[\"BaseLanguageModel\",\"Runnable\",\"Generic\",\"RunnableSerializable\",\"Serializable\",\"object\",\"BaseLLM\"],\"display_name\":\"Hugging Face Inference API\",\"documentation\":\"\",\"custom_fields\":{\"endpoint_url\":null,\"task\":null,\"huggingfacehub_api_token\":null,\"model_kwargs\":null},\"output_types\":[\"BaseLLM\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"ChatOpenAISpecs\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional, Union\\n\\nfrom langchain.llms import BaseLLM\\nfrom langchain_community.chat_models.openai import ChatOpenAI\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseLanguageModel, NestedDict\\n\\n\\nclass ChatOpenAIComponent(CustomComponent):\\n    display_name = \\\"ChatOpenAI\\\"\\n    description = \\\"`OpenAI` Chat large language models API.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"max_tokens\\\": {\\n                \\\"display_name\\\": \\\"Max Tokens\\\",\\n                \\\"advanced\\\": False,\\n                \\\"required\\\": False,\\n            },\\n            \\\"model_kwargs\\\": {\\n                \\\"display_name\\\": \\\"Model Kwargs\\\",\\n                \\\"advanced\\\": True,\\n                \\\"required\\\": False,\\n            },\\n            \\\"model_name\\\": {\\n                \\\"display_name\\\": \\\"Model Name\\\",\\n                \\\"advanced\\\": False,\\n                \\\"required\\\": False,\\n                \\\"options\\\": [\\n                    \\\"gpt-4-turbo-preview\\\",\\n                    \\\"gpt-4-0125-preview\\\",\\n                    \\\"gpt-4-1106-preview\\\",\\n                    \\\"gpt-4-vision-preview\\\",\\n                    \\\"gpt-3.5-turbo-0125\\\",\\n                    \\\"gpt-3.5-turbo-1106\\\",\\n                ],\\n            },\\n            \\\"openai_api_base\\\": {\\n                \\\"display_name\\\": \\\"OpenAI API Base\\\",\\n                \\\"advanced\\\": False,\\n                \\\"required\\\": False,\\n                \\\"info\\\": (\\n                    \\\"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\\\n\\\\n\\\"\\n                    \\\"You can change this to use other APIs like JinaChat, LocalAI and Prem.\\\"\\n                ),\\n            },\\n            \\\"openai_api_key\\\": {\\n                \\\"display_name\\\": \\\"OpenAI API Key\\\",\\n                \\\"advanced\\\": False,\\n                \\\"required\\\": False,\\n                \\\"password\\\": True,\\n            },\\n            \\\"temperature\\\": {\\n                \\\"display_name\\\": \\\"Temperature\\\",\\n                \\\"advanced\\\": False,\\n                \\\"required\\\": False,\\n                \\\"value\\\": 0.7,\\n            },\\n        }\\n\\n    def build(\\n        self,\\n        max_tokens: Optional[int] = 256,\\n        model_kwargs: NestedDict = {},\\n        model_name: str = \\\"gpt-4-1106-preview\\\",\\n        openai_api_base: Optional[str] = None,\\n        openai_api_key: Optional[str] = None,\\n        temperature: float = 0.7,\\n    ) -> Union[BaseLanguageModel, BaseLLM]:\\n        if not openai_api_base:\\n            openai_api_base = \\\"https://api.openai.com/v1\\\"\\n        return ChatOpenAI(\\n            max_tokens=max_tokens,\\n            model_kwargs=model_kwargs,\\n            model=model_name,\\n            base_url=openai_api_base,\\n            api_key=openai_api_key,\\n            temperature=temperature,\\n        )\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"max_tokens\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":256,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"max_tokens\",\"display_name\":\"Max Tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"model_kwargs\":{\"type\":\"NestedDict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"model_kwargs\",\"display_name\":\"Model Kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"gpt-4-turbo-preview\",\"gpt-4-0125-preview\",\"gpt-4-1106-preview\",\"gpt-4-vision-preview\",\"gpt-3.5-turbo-0125\",\"gpt-3.5-turbo-1106\"],\"name\":\"model_name\",\"display_name\":\"Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"openai_api_base\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"openai_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.7,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"Runnable\",\"Generic\",\"RunnableSerializable\",\"Serializable\",\"object\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"documentation\":\"\",\"custom_fields\":{\"max_tokens\":null,\"model_kwargs\":null,\"model_name\":null,\"openai_api_base\":null,\"openai_api_key\":null,\"temperature\":null},\"output_types\":[\"BaseLanguageModel\",\"BaseLLM\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"OllamaLLMSpecs\":{\"template\":{\"base_url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"base_url\",\"display_name\":\"Base URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"Endpoint of the Ollama API. Defaults to 'http://localhost:11434' if not specified.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import List, Optional\\n\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain_community.llms.ollama import Ollama\\n\\nfrom langflow import CustomComponent\\n\\n\\nclass OllamaLLM(CustomComponent):\\n    display_name = \\\"Ollama\\\"\\n    description = \\\"Local LLM with Ollama.\\\"\\n\\n    def build_config(self) -> dict:\\n        return {\\n            \\\"base_url\\\": {\\n                \\\"display_name\\\": \\\"Base URL\\\",\\n                \\\"info\\\": \\\"Endpoint of the Ollama API. Defaults to 'http://localhost:11434' if not specified.\\\",\\n            },\\n            \\\"model\\\": {\\n                \\\"display_name\\\": \\\"Model Name\\\",\\n                \\\"value\\\": \\\"llama2\\\",\\n                \\\"info\\\": \\\"Refer to https://ollama.ai/library for more models.\\\",\\n            },\\n            \\\"temperature\\\": {\\n                \\\"display_name\\\": \\\"Temperature\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"value\\\": 0.8,\\n                \\\"info\\\": \\\"Controls the creativity of model responses.\\\",\\n            },\\n            \\\"mirostat\\\": {\\n                \\\"display_name\\\": \\\"Mirostat\\\",\\n                \\\"options\\\": [\\\"Disabled\\\", \\\"Mirostat\\\", \\\"Mirostat 2.0\\\"],\\n                \\\"info\\\": \\\"Enable/disable Mirostat sampling for controlling perplexity.\\\",\\n                \\\"value\\\": \\\"Disabled\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"mirostat_eta\\\": {\\n                \\\"display_name\\\": \\\"Mirostat Eta\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Learning rate influencing the algorithm's response to feedback.\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"mirostat_tau\\\": {\\n                \\\"display_name\\\": \\\"Mirostat Tau\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Controls balance between coherence and diversity.\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"num_ctx\\\": {\\n                \\\"display_name\\\": \\\"Context Window Size\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"info\\\": \\\"Size of the context window for generating the next token.\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"num_gpu\\\": {\\n                \\\"display_name\\\": \\\"Number of GPUs\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"info\\\": \\\"Number of GPUs to use for computation.\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"num_thread\\\": {\\n                \\\"display_name\\\": \\\"Number of Threads\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"info\\\": \\\"Number of threads to use during computation.\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"repeat_last_n\\\": {\\n                \\\"display_name\\\": \\\"Repeat Last N\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"info\\\": \\\"Sets how far back the model looks to prevent repetition.\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"repeat_penalty\\\": {\\n                \\\"display_name\\\": \\\"Repeat Penalty\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Penalty for repetitions in generated text.\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"stop\\\": {\\n                \\\"display_name\\\": \\\"Stop Tokens\\\",\\n                \\\"info\\\": \\\"List of tokens to signal the model to stop generating text.\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"tfs_z\\\": {\\n                \\\"display_name\\\": \\\"TFS Z\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Tail free sampling to reduce impact of less probable tokens.\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"top_k\\\": {\\n                \\\"display_name\\\": \\\"Top K\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"info\\\": \\\"Limits token selection to top K for reducing nonsense generation.\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"top_p\\\": {\\n                \\\"display_name\\\": \\\"Top P\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"info\\\": \\\"Works with top-k to control diversity of generated text.\\\",\\n                \\\"advanced\\\": True,\\n            },\\n        }\\n\\n    def build(\\n        self,\\n        base_url: Optional[str],\\n        model: str,\\n        temperature: Optional[float],\\n        mirostat: Optional[str],\\n        mirostat_eta: Optional[float] = None,\\n        mirostat_tau: Optional[float] = None,\\n        num_ctx: Optional[int] = None,\\n        num_gpu: Optional[int] = None,\\n        num_thread: Optional[int] = None,\\n        repeat_last_n: Optional[int] = None,\\n        repeat_penalty: Optional[float] = None,\\n        stop: Optional[List[str]] = None,\\n        tfs_z: Optional[float] = None,\\n        top_k: Optional[int] = None,\\n        top_p: Optional[int] = None,\\n    ) -> BaseLLM:\\n        if not base_url:\\n            base_url = \\\"http://localhost:11434\\\"\\n\\n        # Mapping mirostat settings to their corresponding values\\n        mirostat_options = {\\\"Mirostat\\\": 1, \\\"Mirostat 2.0\\\": 2}\\n\\n        # Default to 0 for 'Disabled'\\n        mirostat_value = mirostat_options.get(mirostat, 0)  # type: ignore\\n\\n        # Set mirostat_eta and mirostat_tau to None if mirostat is disabled\\n        if mirostat_value == 0:\\n            mirostat_eta = None\\n            mirostat_tau = None\\n\\n        try:\\n            llm = Ollama(\\n                base_url=base_url,\\n                model=model,\\n                mirostat=mirostat_value,\\n                mirostat_eta=mirostat_eta,\\n                mirostat_tau=mirostat_tau,\\n                num_ctx=num_ctx,\\n                num_gpu=num_gpu,\\n                num_thread=num_thread,\\n                repeat_last_n=repeat_last_n,\\n                repeat_penalty=repeat_penalty,\\n                temperature=temperature,\\n                stop=stop,\\n                tfs_z=tfs_z,\\n                top_k=top_k,\\n                top_p=top_p,\\n            )\\n\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to Ollama.\\\") from e\\n\\n        return llm\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"mirostat\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"Disabled\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"Disabled\",\"Mirostat\",\"Mirostat 2.0\"],\"name\":\"mirostat\",\"display_name\":\"Mirostat\",\"advanced\":true,\"dynamic\":false,\"info\":\"Enable/disable Mirostat sampling for controlling perplexity.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"mirostat_eta\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"mirostat_eta\",\"display_name\":\"Mirostat Eta\",\"advanced\":true,\"dynamic\":false,\"info\":\"Learning rate influencing the algorithm's response to feedback.\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"mirostat_tau\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"mirostat_tau\",\"display_name\":\"Mirostat Tau\",\"advanced\":true,\"dynamic\":false,\"info\":\"Controls balance between coherence and diversity.\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"model\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"llama2\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"model\",\"display_name\":\"Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"Refer to https://ollama.ai/library for more models.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"num_ctx\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"num_ctx\",\"display_name\":\"Context Window Size\",\"advanced\":true,\"dynamic\":false,\"info\":\"Size of the context window for generating the next token.\",\"title_case\":false},\"num_gpu\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"num_gpu\",\"display_name\":\"Number of GPUs\",\"advanced\":true,\"dynamic\":false,\"info\":\"Number of GPUs to use for computation.\",\"title_case\":false},\"num_thread\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"num_thread\",\"display_name\":\"Number of Threads\",\"advanced\":true,\"dynamic\":false,\"info\":\"Number of threads to use during computation.\",\"title_case\":false},\"repeat_last_n\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"repeat_last_n\",\"display_name\":\"Repeat Last N\",\"advanced\":true,\"dynamic\":false,\"info\":\"Sets how far back the model looks to prevent repetition.\",\"title_case\":false},\"repeat_penalty\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"repeat_penalty\",\"display_name\":\"Repeat Penalty\",\"advanced\":true,\"dynamic\":false,\"info\":\"Penalty for repetitions in generated text.\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"stop\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"stop\",\"display_name\":\"Stop Tokens\",\"advanced\":true,\"dynamic\":false,\"info\":\"List of tokens to signal the model to stop generating text.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.8,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"Controls the creativity of model responses.\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"tfs_z\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tfs_z\",\"display_name\":\"TFS Z\",\"advanced\":true,\"dynamic\":false,\"info\":\"Tail free sampling to reduce impact of less probable tokens.\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1},\"title_case\":false},\"top_k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_k\",\"display_name\":\"Top K\",\"advanced\":true,\"dynamic\":false,\"info\":\"Limits token selection to top K for reducing nonsense generation.\",\"title_case\":false},\"top_p\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_p\",\"display_name\":\"Top P\",\"advanced\":true,\"dynamic\":false,\"info\":\"Works with top-k to control diversity of generated text.\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Local LLM with Ollama.\",\"base_classes\":[\"BaseLanguageModel\",\"Runnable\",\"Generic\",\"RunnableSerializable\",\"Serializable\",\"object\",\"BaseLLM\"],\"display_name\":\"Ollama\",\"documentation\":\"\",\"custom_fields\":{\"base_url\":null,\"model\":null,\"temperature\":null,\"mirostat\":null,\"mirostat_eta\":null,\"mirostat_tau\":null,\"num_ctx\":null,\"num_gpu\":null,\"num_thread\":null,\"repeat_last_n\":null,\"repeat_penalty\":null,\"stop\":null,\"tfs_z\":null,\"top_k\":null,\"top_p\":null},\"output_types\":[\"BaseLLM\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true}},\"io\":{\"ChatOutput\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional, Union\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Text\\nfrom langflow.schema import Record\\n\\n\\nclass ChatOutput(CustomComponent):\\n    display_name = \\\"Chat Output\\\"\\n    description = \\\"Used to send a message to the chat.\\\"\\n\\n    field_config = {\\n        \\\"code\\\": {\\n            \\\"show\\\": True,\\n        }\\n    }\\n\\n    def build_config(self):\\n        return {\\n            \\\"message\\\": {\\\"input_types\\\": [\\\"Text\\\"], \\\"display_name\\\": \\\"Message\\\"},\\n            \\\"sender\\\": {\\n                \\\"options\\\": [\\\"Machine\\\", \\\"User\\\"],\\n                \\\"display_name\\\": \\\"Sender Type\\\",\\n            },\\n            \\\"sender_name\\\": {\\\"display_name\\\": \\\"Sender Name\\\"},\\n            \\\"session_id\\\": {\\n                \\\"display_name\\\": \\\"Session ID\\\",\\n                \\\"info\\\": \\\"Session ID of the chat history.\\\",\\n                \\\"input_types\\\": [\\\"Text\\\"],\\n            },\\n            \\\"return_record\\\": {\\n                \\\"display_name\\\": \\\"Return Record\\\",\\n                \\\"info\\\": \\\"Return the message as a record containing the sender, sender_name, and session_id.\\\",\\n            },\\n        }\\n\\n    def build(\\n        self,\\n        sender: Optional[str] = \\\"Machine\\\",\\n        sender_name: Optional[str] = \\\"AI\\\",\\n        session_id: Optional[str] = None,\\n        message: Optional[str] = None,\\n        return_record: Optional[bool] = False,\\n    ) -> Union[Text, Record]:\\n        if return_record:\\n            if isinstance(message, Record):\\n                # Update the data of the record\\n                message.data[\\\"sender\\\"] = sender\\n                message.data[\\\"sender_name\\\"] = sender_name\\n                message.data[\\\"session_id\\\"] = session_id\\n            else:\\n                message = Record(\\n                    text=message,\\n                    data={\\n                        \\\"sender\\\": sender,\\n                        \\\"sender_name\\\": sender_name,\\n                        \\\"session_id\\\": session_id,\\n                    },\\n                )\\n        if not message:\\n            message = \\\"\\\"\\n        self.status = message\\n        return message\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"message\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"message\",\"display_name\":\"Message\",\"advanced\":false,\"input_types\":[\"Text\",\"Text\"],\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"return_record\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_record\",\"display_name\":\"Return Record\",\"advanced\":false,\"dynamic\":false,\"info\":\"Return the message as a record containing the sender, sender_name, and session_id.\",\"title_case\":false},\"sender\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"Machine\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"Machine\",\"User\"],\"name\":\"sender\",\"display_name\":\"Sender Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"sender_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"AI\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"sender_name\",\"display_name\":\"Sender Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"session_id\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"session_id\",\"display_name\":\"Session ID\",\"advanced\":false,\"input_types\":[\"Text\",\"Text\"],\"dynamic\":false,\"info\":\"Session ID of the chat history.\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Used to send a message to the chat.\",\"base_classes\":[\"Text\",\"object\",\"Record\"],\"display_name\":\"Chat Output\",\"documentation\":\"\",\"custom_fields\":{\"sender\":null,\"sender_name\":null,\"session_id\":null,\"message\":null,\"return_record\":null},\"output_types\":[\"Text\",\"Record\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"MessageHistory\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import List, Optional\\n\\nfrom langflow import CustomComponent\\nfrom langflow.memory import get_messages\\nfrom langflow.schema import Record\\n\\n\\nclass MessageHistoryComponent(CustomComponent):\\n    display_name = \\\"Message History\\\"\\n    description = \\\"Used to retrieve stored messages.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"sender\\\": {\\n                \\\"options\\\": [\\\"Machine\\\", \\\"User\\\"],\\n                \\\"display_name\\\": \\\"Sender Type\\\",\\n            },\\n            \\\"sender_name\\\": {\\\"display_name\\\": \\\"Sender Name\\\"},\\n            \\\"file_path\\\": {\\n                \\\"display_name\\\": \\\"File Path\\\",\\n                \\\"info\\\": \\\"Path of the local JSON file to store the messages. It should be a unique path for each chat history.\\\",\\n            },\\n            \\\"n_messages\\\": {\\n                \\\"display_name\\\": \\\"Number of Messages\\\",\\n                \\\"info\\\": \\\"Number of messages to retrieve.\\\",\\n            },\\n            \\\"session_id\\\": {\\n                \\\"display_name\\\": \\\"Session ID\\\",\\n                \\\"info\\\": \\\"Session ID of the chat history.\\\",\\n                \\\"input_types\\\": [\\\"Text\\\"],\\n            },\\n        }\\n\\n    def build(\\n        self,\\n        sender: Optional[str] = None,\\n        sender_name: Optional[str] = None,\\n        session_id: Optional[str] = None,\\n        n_messages: int = 5,\\n    ) -> List[Record]:\\n        messages = get_messages(\\n            sender=sender,\\n            sender_name=sender_name,\\n            session_id=session_id,\\n            limit=n_messages,\\n        )\\n        self.status = messages\\n        return messages\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"n_messages\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":5,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"n_messages\",\"display_name\":\"Number of Messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"Number of messages to retrieve.\",\"title_case\":false},\"sender\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"Machine\",\"User\"],\"name\":\"sender\",\"display_name\":\"Sender Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"sender_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"sender_name\",\"display_name\":\"Sender Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"session_id\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"session_id\",\"display_name\":\"Session ID\",\"advanced\":false,\"input_types\":[\"Text\",\"Text\"],\"dynamic\":false,\"info\":\"Session ID of the chat history.\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"Used to retrieve stored messages.\",\"base_classes\":[\"Record\"],\"display_name\":\"Message History\",\"documentation\":\"\",\"custom_fields\":{\"sender\":null,\"sender_name\":null,\"session_id\":null,\"n_messages\":null},\"output_types\":[\"Record\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"TextOutput\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Text\\n\\n\\nclass TextOutput(CustomComponent):\\n    display_name = \\\"Text Output\\\"\\n    description = \\\"Used to pass text output to the next component.\\\"\\n\\n    field_config = {\\n        \\\"value\\\": {\\\"display_name\\\": \\\"Value\\\"},\\n    }\\n\\n    def build(self, value: Optional[str] = \\\"\\\") -> Text:\\n        self.status = value\\n        if not value:\\n            value = \\\"\\\"\\n        return value\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"value\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"value\",\"display_name\":\"Value\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"description\":\"Used to pass text output to the next component.\",\"base_classes\":[\"Text\",\"object\"],\"display_name\":\"Text Output\",\"documentation\":\"\",\"custom_fields\":{\"value\":null},\"output_types\":[\"Text\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"StoreMessages\":{\"template\":{\"records\":{\"type\":\"Record\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"records\",\"display_name\":\"Records\",\"advanced\":false,\"dynamic\":false,\"info\":\"The list of records to store. Each record should contain the keys 'sender', 'sender_name', and 'session_id'.\",\"title_case\":false},\"texts\":{\"type\":\"Text\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"texts\",\"display_name\":\"Texts\",\"advanced\":false,\"dynamic\":false,\"info\":\"The list of texts to store. If records is not provided, texts must be provided.\",\"title_case\":false},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import List, Optional\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Text\\nfrom langflow.memory import add_messages\\nfrom langflow.schema import Record\\n\\n\\nclass StoreMessages(CustomComponent):\\n    display_name = \\\"Store Messages\\\"\\n    description = \\\"Used to store messages.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"records\\\": {\\n                \\\"display_name\\\": \\\"Records\\\",\\n                \\\"info\\\": \\\"The list of records to store. Each record should contain the keys 'sender', 'sender_name', and 'session_id'.\\\",\\n            },\\n            \\\"texts\\\": {\\n                \\\"display_name\\\": \\\"Texts\\\",\\n                \\\"info\\\": \\\"The list of texts to store. If records is not provided, texts must be provided.\\\",\\n            },\\n            \\\"session_id\\\": {\\n                \\\"display_name\\\": \\\"Session ID\\\",\\n                \\\"info\\\": \\\"The session ID to store.\\\",\\n            },\\n            \\\"sender\\\": {\\n                \\\"display_name\\\": \\\"Sender\\\",\\n                \\\"info\\\": \\\"The sender to store.\\\",\\n            },\\n            \\\"sender_name\\\": {\\n                \\\"display_name\\\": \\\"Sender Name\\\",\\n                \\\"info\\\": \\\"The sender name to store.\\\",\\n            },\\n        }\\n\\n    def build(\\n        self,\\n        records: Optional[List[Record]] = None,\\n        texts: Optional[List[Text]] = None,\\n        session_id: Optional[str] = None,\\n        sender: Optional[str] = None,\\n        sender_name: Optional[str] = None,\\n    ) -> List[Record]:\\n        # Records is the main way to store messages\\n        # If records is not provided, we can use texts\\n        # but we need to create the records from the texts\\n        # and the other parameters\\n        if not texts and not records:\\n            raise ValueError(\\\"Either texts or records must be provided.\\\")\\n\\n        if not records:\\n            records = []\\n            if not session_id or not sender or not sender_name:\\n                raise ValueError(\\\"If passing texts, session_id, sender, and sender_name must be provided.\\\")\\n            for text in texts:\\n                record = Record(\\n                    text=text,\\n                    data={\\n                        \\\"session_id\\\": session_id,\\n                        \\\"sender\\\": sender,\\n                        \\\"sender_name\\\": sender_name,\\n                    },\\n                )\\n                records.append(record)\\n        elif isinstance(records, Record):\\n            records = [records]\\n\\n        self.status = records\\n        records = add_messages(records)\\n        return records\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"sender\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"sender\",\"display_name\":\"Sender\",\"advanced\":false,\"dynamic\":false,\"info\":\"The sender to store.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"sender_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"sender_name\",\"display_name\":\"Sender Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"The sender name to store.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"session_id\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"session_id\",\"display_name\":\"Session ID\",\"advanced\":false,\"dynamic\":false,\"info\":\"The session ID to store.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"description\":\"Used to store messages.\",\"base_classes\":[\"Record\"],\"display_name\":\"Store Messages\",\"documentation\":\"\",\"custom_fields\":{\"records\":null,\"texts\":null,\"session_id\":null,\"sender\":null,\"sender_name\":null},\"output_types\":[\"Record\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"ChatInput\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langflow import CustomComponent\\nfrom langflow.schema import Record\\n\\n\\nclass ChatInput(CustomComponent):\\n    display_name = \\\"Chat Input\\\"\\n    description = \\\"Used to get user input from the chat.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"message\\\": {\\n                \\\"input_types\\\": [\\\"Text\\\"],\\n                \\\"display_name\\\": \\\"Message\\\",\\n                \\\"multiline\\\": True,\\n            },\\n            \\\"sender\\\": {\\n                \\\"options\\\": [\\\"Machine\\\", \\\"User\\\"],\\n                \\\"display_name\\\": \\\"Sender Type\\\",\\n            },\\n            \\\"sender_name\\\": {\\\"display_name\\\": \\\"Sender Name\\\"},\\n            \\\"session_id\\\": {\\n                \\\"display_name\\\": \\\"Session ID\\\",\\n                \\\"info\\\": \\\"Session ID of the chat history.\\\",\\n            },\\n            \\\"return_record\\\": {\\n                \\\"display_name\\\": \\\"Return Record\\\",\\n                \\\"info\\\": \\\"Return the message as a record containing the sender, sender_name, and session_id.\\\",\\n            },\\n        }\\n\\n    def build(\\n        self,\\n        sender: Optional[str] = \\\"User\\\",\\n        sender_name: Optional[str] = \\\"User\\\",\\n        message: Optional[str] = None,\\n        session_id: Optional[str] = None,\\n        return_record: Optional[bool] = False,\\n    ) -> Record:\\n        if return_record:\\n            if isinstance(message, Record):\\n                # Update the data of the record\\n                message.data[\\\"sender\\\"] = sender\\n                message.data[\\\"sender_name\\\"] = sender_name\\n                message.data[\\\"session_id\\\"] = session_id\\n            else:\\n                message = Record(\\n                    text=message,\\n                    data={\\n                        \\\"sender\\\": sender,\\n                        \\\"sender_name\\\": sender_name,\\n                        \\\"session_id\\\": session_id,\\n                    },\\n                )\\n        if not message:\\n            message = \\\"\\\"\\n        self.status = message\\n        return message\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"message\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"message\",\"display_name\":\"Message\",\"advanced\":false,\"input_types\":[\"Text\",\"Text\"],\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"return_record\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_record\",\"display_name\":\"Return Record\",\"advanced\":false,\"dynamic\":false,\"info\":\"Return the message as a record containing the sender, sender_name, and session_id.\",\"title_case\":false},\"sender\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"User\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"Machine\",\"User\"],\"name\":\"sender\",\"display_name\":\"Sender Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"sender_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"User\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"sender_name\",\"display_name\":\"Sender Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"session_id\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"session_id\",\"display_name\":\"Session ID\",\"advanced\":false,\"dynamic\":false,\"info\":\"Session ID of the chat history.\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"description\":\"Used to get user input from the chat.\",\"base_classes\":[\"Record\"],\"display_name\":\"Chat Input\",\"documentation\":\"\",\"custom_fields\":{\"sender\":null,\"sender_name\":null,\"message\":null,\"session_id\":null,\"return_record\":null},\"output_types\":[\"Record\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true},\"TextInput\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Text\\n\\n\\nclass TextInput(CustomComponent):\\n    display_name = \\\"Text Input\\\"\\n    description = \\\"Used to pass text input to the next component.\\\"\\n\\n    field_config = {\\n        \\\"value\\\": {\\\"display_name\\\": \\\"Value\\\"},\\n    }\\n\\n    def build(self, value: Optional[str] = \\\"\\\") -> Text:\\n        self.status = value\\n        if not value:\\n            value = \\\"\\\"\\n        return value\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"value\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"value\",\"display_name\":\"Value\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"title_case\":false,\"input_types\":[\"Text\"]},\"_type\":\"CustomComponent\"},\"description\":\"Used to pass text input to the next component.\",\"base_classes\":[\"Text\",\"object\"],\"display_name\":\"Text Input\",\"documentation\":\"\",\"custom_fields\":{\"value\":null},\"output_types\":[\"Text\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true}},\"prompts\":{\"Prompt\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langchain_core.prompts import PromptTemplate\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Prompt, InputField, Text\\n\\n\\nclass PromptComponent(CustomComponent):\\n    display_name: str = \\\"Prompt\\\"\\n    description: str = \\\"A component for creating prompts using templates\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"template\\\": InputField(display_name=\\\"Template\\\"),\\n            \\\"code\\\": InputField(advanced=True),\\n        }\\n\\n    def build(\\n        self,\\n        template: Prompt,\\n        **kwargs,\\n    ) -> Text:\\n        prompt_template = PromptTemplate.from_template(template)\\n\\n        attributes_to_check = [\\\"text\\\", \\\"page_content\\\"]\\n        for key, value in kwargs.items():\\n            for attribute in attributes_to_check:\\n                if hasattr(value, attribute):\\n                    kwargs[key] = getattr(value, attribute)\\n\\n        try:\\n            formated_prompt = prompt_template.format(**kwargs)\\n        except Exception as exc:\\n            raise ValueError(f\\\"Error formatting prompt: {exc}\\\") from exc\\n        self.status = f'Prompt: \\\"{formated_prompt}\\\"'\\n        return formated_prompt\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"title_case\":false},\"template\":{\"type\":\"prompt\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"template\",\"display_name\":\"Template\",\"advanced\":false,\"input_types\":[\"Text\"],\"dynamic\":false,\"info\":\"\",\"title_case\":false},\"_type\":\"CustomComponent\"},\"description\":\"A component for creating prompts using templates\",\"base_classes\":[\"Text\",\"object\"],\"display_name\":\"Prompt\",\"documentation\":\"\",\"custom_fields\":{\"template\":null},\"output_types\":[\"Text\"],\"field_formatters\":{},\"pinned\":false,\"beta\":true}}}"
+          },
+          "headersSize": -1,
+          "bodySize": -1,
+          "redirectURL": ""
+        },
+        "cache": {},
+        "timings": {
+          "send": -1,
+          "wait": -1,
+          "receive": 2.771
+        }
+      },
+      {
+        "startedDateTime": "2024-02-28T14:32:30.976Z",
+        "time": 0.753,
+        "request": {
+          "method": "GET",
+          "url": "http://localhost:3000/api/v1/store/check/",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            {
+              "name": "Accept",
+              "value": "application/json, text/plain, */*"
+            },
+            {
+              "name": "Accept-Encoding",
+              "value": "gzip, deflate, br, zstd"
+            },
+            {
+              "name": "Accept-Language",
+              "value": "en-US,en;q=0.9"
+            },
+            {
+              "name": "Authorization",
+              "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIwMzg5ZmIyOS1kYWE2LTQwOGMtYjhjYi1iOGZmOGQxNzM0M2EiLCJleHAiOjE3NDA2NjY3NTB9.ef5W5jwNOeVzU3JZ7ylLYf2MLEJcVxC4-fF7EK9Ecdc"
+            },
+            {
+              "name": "Connection",
+              "value": "keep-alive"
+            },
+            {
+              "name": "Cookie",
+              "value": "access_token_lf=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIwMzg5ZmIyOS1kYWE2LTQwOGMtYjhjYi1iOGZmOGQxNzM0M2EiLCJleHAiOjE3NDA2NjY3NTB9.ef5W5jwNOeVzU3JZ7ylLYf2MLEJcVxC4-fF7EK9Ecdc"
+            },
+            {
+              "name": "Host",
+              "value": "localhost:3000"
+            },
+            {
+              "name": "Referer",
+              "value": "http://localhost:3000/"
+            },
+            {
+              "name": "Sec-Fetch-Dest",
+              "value": "empty"
+            },
+            {
+              "name": "Sec-Fetch-Mode",
+              "value": "cors"
+            },
+            {
+              "name": "Sec-Fetch-Site",
+              "value": "same-origin"
+            },
+            {
+              "name": "User-Agent",
+              "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/123.0.0.0 Safari/537.36"
+            },
+            {
+              "name": "sec-ch-ua",
+              "value": "\"Chromium\";v=\"123\", \"Not:A-Brand\";v=\"8\""
+            },
+            {
+              "name": "sec-ch-ua-mobile",
+              "value": "?0"
+            },
+            {
+              "name": "sec-ch-ua-platform",
+              "value": "\"Linux\""
+            }
+          ],
+          "queryString": [],
+          "headersSize": -1,
+          "bodySize": -1
+        },
+        "response": {
+          "status": 200,
+          "statusText": "OK",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            {
+              "name": "Access-Control-Allow-Origin",
+              "value": "*"
+            },
+            {
+              "name": "connection",
+              "value": "close"
+            },
+            {
+              "name": "content-length",
+              "value": "16"
+            },
+            {
+              "name": "content-type",
+              "value": "application/json"
+            },
+            {
+              "name": "date",
+              "value": "Wed, 28 Feb 2024 14:32:30 GMT"
+            },
+            {
+              "name": "server",
+              "value": "uvicorn"
+            }
+          ],
+          "content": {
+            "size": -1,
+            "mimeType": "application/json",
+            "text": "{\"enabled\":true}"
+          },
+          "headersSize": -1,
+          "bodySize": -1,
+          "redirectURL": ""
+        },
+        "cache": {},
+        "timings": {
+          "send": -1,
+          "wait": -1,
+          "receive": 0.753
+        }
+      },
+      {
+        "startedDateTime": "2024-02-28T14:32:30.976Z",
+        "time": 0.525,
+        "request": {
+          "method": "GET",
+          "url": "http://localhost:3000/api/v1/store/check/api_key",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            {
+              "name": "Accept",
+              "value": "application/json, text/plain, */*"
+            },
+            {
+              "name": "Accept-Encoding",
+              "value": "gzip, deflate, br, zstd"
+            },
+            {
+              "name": "Accept-Language",
+              "value": "en-US,en;q=0.9"
+            },
+            {
+              "name": "Authorization",
+              "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIwMzg5ZmIyOS1kYWE2LTQwOGMtYjhjYi1iOGZmOGQxNzM0M2EiLCJleHAiOjE3NDA2NjY3NTB9.ef5W5jwNOeVzU3JZ7ylLYf2MLEJcVxC4-fF7EK9Ecdc"
+            },
+            {
+              "name": "Connection",
+              "value": "keep-alive"
+            },
+            {
+              "name": "Cookie",
+              "value": "access_token_lf=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIwMzg5ZmIyOS1kYWE2LTQwOGMtYjhjYi1iOGZmOGQxNzM0M2EiLCJleHAiOjE3NDA2NjY3NTB9.ef5W5jwNOeVzU3JZ7ylLYf2MLEJcVxC4-fF7EK9Ecdc"
+            },
+            {
+              "name": "Host",
+              "value": "localhost:3000"
+            },
+            {
+              "name": "Referer",
+              "value": "http://localhost:3000/"
+            },
+            {
+              "name": "Sec-Fetch-Dest",
+              "value": "empty"
+            },
+            {
+              "name": "Sec-Fetch-Mode",
+              "value": "cors"
+            },
+            {
+              "name": "Sec-Fetch-Site",
+              "value": "same-origin"
+            },
+            {
+              "name": "User-Agent",
+              "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/123.0.0.0 Safari/537.36"
+            },
+            {
+              "name": "sec-ch-ua",
+              "value": "\"Chromium\";v=\"123\", \"Not:A-Brand\";v=\"8\""
+            },
+            {
+              "name": "sec-ch-ua-mobile",
+              "value": "?0"
+            },
+            {
+              "name": "sec-ch-ua-platform",
+              "value": "\"Linux\""
+            }
+          ],
+          "queryString": [],
+          "headersSize": -1,
+          "bodySize": -1
+        },
+        "response": {
+          "status": 200,
+          "statusText": "OK",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            {
+              "name": "Access-Control-Allow-Origin",
+              "value": "*"
+            },
+            {
+              "name": "connection",
+              "value": "close"
+            },
+            {
+              "name": "content-length",
+              "value": "38"
+            },
+            {
+              "name": "content-type",
+              "value": "application/json"
+            },
+            {
+              "name": "date",
+              "value": "Wed, 28 Feb 2024 14:32:30 GMT"
+            },
+            {
+              "name": "server",
+              "value": "uvicorn"
+            }
+          ],
+          "content": {
+            "size": -1,
+            "mimeType": "application/json",
+            "text": "{\"has_api_key\":false,\"is_valid\":false}"
           },
-          "cache": {},
-          "timings": { "send": -1, "wait": -1, "receive": 0.727 }
-        },
-        {
-          "startedDateTime": "2023-08-31T14:55:35.586Z",
-          "time": 0.719,
-          "request": {
-            "method": "GET",
-            "url": "http://localhost:3000/api/v1/flows/",
-            "httpVersion": "HTTP/1.1",
-            "cookies": [],
-            "headers": [
-              { "name": "Accept", "value": "application/json, text/plain, */*" },
-              { "name": "Accept-Encoding", "value": "gzip, deflate, br" },
-              { "name": "Accept-Language", "value": "en-US,en;q=0.9" },
-              { "name": "Authorization", "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJiNWIxYjFhZC05M2VjLTRjMjgtYWMxNy01OGMxNDQ0MWI1ZGQiLCJleHAiOjE3MjUwMjk3MzV9.8qhEtryWqA9RbwEP2s20umKdVE7J7jHGoogXZqxLNWk" },
-              { "name": "Connection", "value": "keep-alive" },
-              { "name": "Cookie", "value": "access_token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJiNWIxYjFhZC05M2VjLTRjMjgtYWMxNy01OGMxNDQ0MWI1ZGQiLCJleHAiOjE3MjUwMjk3MzV9.8qhEtryWqA9RbwEP2s20umKdVE7J7jHGoogXZqxLNWk; refresh_token=auto" },
-              { "name": "Host", "value": "localhost:3000" },
-              { "name": "Referer", "value": "http://localhost:3000/" },
-              { "name": "Sec-Fetch-Dest", "value": "empty" },
-              { "name": "Sec-Fetch-Mode", "value": "cors" },
-              { "name": "Sec-Fetch-Site", "value": "same-origin" },
-              { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36" },
-              { "name": "sec-ch-ua", "value": "\"Not)A;Brand\";v=\"24\", \"Chromium\";v=\"116\"" },
-              { "name": "sec-ch-ua-mobile", "value": "?0" },
-              { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
-            ],
-            "queryString": [],
-            "headersSize": -1,
-            "bodySize": -1
+          "headersSize": -1,
+          "bodySize": -1,
+          "redirectURL": ""
+        },
+        "cache": {},
+        "timings": {
+          "send": -1,
+          "wait": -1,
+          "receive": 0.525
+        }
+      },
+      {
+        "startedDateTime": "2024-02-28T14:32:30.976Z",
+        "time": 0.658,
+        "request": {
+          "method": "GET",
+          "url": "http://localhost:3000/api/v1/auto_login",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            {
+              "name": "Accept",
+              "value": "application/json, text/plain, */*"
+            },
+            {
+              "name": "Accept-Encoding",
+              "value": "gzip, deflate, br, zstd"
+            },
+            {
+              "name": "Accept-Language",
+              "value": "en-US,en;q=0.9"
+            },
+            {
+              "name": "Authorization",
+              "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIwMzg5ZmIyOS1kYWE2LTQwOGMtYjhjYi1iOGZmOGQxNzM0M2EiLCJleHAiOjE3NDA2NjY3NTB9.ef5W5jwNOeVzU3JZ7ylLYf2MLEJcVxC4-fF7EK9Ecdc"
+            },
+            {
+              "name": "Connection",
+              "value": "keep-alive"
+            },
+            {
+              "name": "Cookie",
+              "value": "access_token_lf=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIwMzg5ZmIyOS1kYWE2LTQwOGMtYjhjYi1iOGZmOGQxNzM0M2EiLCJleHAiOjE3NDA2NjY3NTB9.ef5W5jwNOeVzU3JZ7ylLYf2MLEJcVxC4-fF7EK9Ecdc"
+            },
+            {
+              "name": "Host",
+              "value": "localhost:3000"
+            },
+            {
+              "name": "Referer",
+              "value": "http://localhost:3000/"
+            },
+            {
+              "name": "Sec-Fetch-Dest",
+              "value": "empty"
+            },
+            {
+              "name": "Sec-Fetch-Mode",
+              "value": "cors"
+            },
+            {
+              "name": "Sec-Fetch-Site",
+              "value": "same-origin"
+            },
+            {
+              "name": "User-Agent",
+              "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/123.0.0.0 Safari/537.36"
+            },
+            {
+              "name": "sec-ch-ua",
+              "value": "\"Chromium\";v=\"123\", \"Not:A-Brand\";v=\"8\""
+            },
+            {
+              "name": "sec-ch-ua-mobile",
+              "value": "?0"
+            },
+            {
+              "name": "sec-ch-ua-platform",
+              "value": "\"Linux\""
+            }
+          ],
+          "queryString": [],
+          "headersSize": -1,
+          "bodySize": -1
+        },
+        "response": {
+          "status": 200,
+          "statusText": "OK",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            {
+              "name": "Access-Control-Allow-Origin",
+              "value": "*"
+            },
+            {
+              "name": "connection",
+              "value": "close"
+            },
+            {
+              "name": "content-length",
+              "value": "227"
+            },
+            {
+              "name": "content-type",
+              "value": "application/json"
+            },
+            {
+              "name": "date",
+              "value": "Wed, 28 Feb 2024 14:32:30 GMT"
+            },
+            {
+              "name": "server",
+              "value": "uvicorn"
+            },
+            {
+              "name": "set-cookie",
+              "value": "access_token_lf=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIwMzg5ZmIyOS1kYWE2LTQwOGMtYjhjYi1iOGZmOGQxNzM0M2EiLCJleHAiOjE3NDA2NjY3NTB9.ef5W5jwNOeVzU3JZ7ylLYf2MLEJcVxC4-fF7EK9Ecdc; Path=/; SameSite=none; Secure"
+            }
+          ],
+          "content": {
+            "size": -1,
+            "mimeType": "application/json",
+            "text": "{\"access_token\":\"eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIwMzg5ZmIyOS1kYWE2LTQwOGMtYjhjYi1iOGZmOGQxNzM0M2EiLCJleHAiOjE3NDA2NjY3NTB9.ef5W5jwNOeVzU3JZ7ylLYf2MLEJcVxC4-fF7EK9Ecdc\",\"refresh_token\":null,\"token_type\":\"bearer\"}"
           },
-          "response": {
-            "status": 200,
-            "statusText": "OK",
-            "httpVersion": "HTTP/1.1",
-            "cookies": [],
-            "headers": [
-              { "name": "Access-Control-Allow-Origin", "value": "*" },
-              { "name": "connection", "value": "close" },
-              { "name": "content-length", "value": "2" },
-              { "name": "content-type", "value": "application/json" },
-              { "name": "date", "value": "Thu, 31 Aug 2023 14:55:34 GMT" },
-              { "name": "server", "value": "uvicorn" }
-            ],
-            "content": {
-              "size": -1,
-              "mimeType": "application/json",
-              "text": "[]"
-            },
-            "headersSize": -1,
-            "bodySize": -1,
-            "redirectURL": ""
+          "headersSize": -1,
+          "bodySize": -1,
+          "redirectURL": ""
+        },
+        "cache": {},
+        "timings": {
+          "send": -1,
+          "wait": -1,
+          "receive": 0.658
+        }
+      },
+      {
+        "startedDateTime": "2024-02-28T14:32:31.023Z",
+        "time": 0.787,
+        "request": {
+          "method": "GET",
+          "url": "http://localhost:3000/api/v1/users/whoami",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            {
+              "name": "Accept",
+              "value": "application/json, text/plain, */*"
+            },
+            {
+              "name": "Accept-Encoding",
+              "value": "gzip, deflate, br, zstd"
+            },
+            {
+              "name": "Accept-Language",
+              "value": "en-US,en;q=0.9"
+            },
+            {
+              "name": "Authorization",
+              "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIwMzg5ZmIyOS1kYWE2LTQwOGMtYjhjYi1iOGZmOGQxNzM0M2EiLCJleHAiOjE3NDA2NjY3NTB9.ef5W5jwNOeVzU3JZ7ylLYf2MLEJcVxC4-fF7EK9Ecdc"
+            },
+            {
+              "name": "Connection",
+              "value": "keep-alive"
+            },
+            {
+              "name": "Cookie",
+              "value": "access_token_lf=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIwMzg5ZmIyOS1kYWE2LTQwOGMtYjhjYi1iOGZmOGQxNzM0M2EiLCJleHAiOjE3NDA2NjY3NTB9.ef5W5jwNOeVzU3JZ7ylLYf2MLEJcVxC4-fF7EK9Ecdc"
+            },
+            {
+              "name": "Host",
+              "value": "localhost:3000"
+            },
+            {
+              "name": "Referer",
+              "value": "http://localhost:3000/"
+            },
+            {
+              "name": "Sec-Fetch-Dest",
+              "value": "empty"
+            },
+            {
+              "name": "Sec-Fetch-Mode",
+              "value": "cors"
+            },
+            {
+              "name": "Sec-Fetch-Site",
+              "value": "same-origin"
+            },
+            {
+              "name": "User-Agent",
+              "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/123.0.0.0 Safari/537.36"
+            },
+            {
+              "name": "sec-ch-ua",
+              "value": "\"Chromium\";v=\"123\", \"Not:A-Brand\";v=\"8\""
+            },
+            {
+              "name": "sec-ch-ua-mobile",
+              "value": "?0"
+            },
+            {
+              "name": "sec-ch-ua-platform",
+              "value": "\"Linux\""
+            }
+          ],
+          "queryString": [],
+          "headersSize": -1,
+          "bodySize": -1
+        },
+        "response": {
+          "status": 200,
+          "statusText": "OK",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            {
+              "name": "Access-Control-Allow-Origin",
+              "value": "*"
+            },
+            {
+              "name": "connection",
+              "value": "close"
+            },
+            {
+              "name": "content-length",
+              "value": "253"
+            },
+            {
+              "name": "content-type",
+              "value": "application/json"
+            },
+            {
+              "name": "date",
+              "value": "Wed, 28 Feb 2024 14:32:30 GMT"
+            },
+            {
+              "name": "server",
+              "value": "uvicorn"
+            }
+          ],
+          "content": {
+            "size": -1,
+            "mimeType": "application/json",
+            "text": "{\"id\":\"0389fb29-daa6-408c-b8cb-b8ff8d17343a\",\"username\":\"langflow\",\"profile_image\":null,\"is_active\":true,\"is_superuser\":true,\"create_at\":\"2024-02-28T14:31:41.362911\",\"updated_at\":\"2024-02-28T14:32:30.982826\",\"last_login_at\":\"2024-02-28T14:32:30.982478\"}"
           },
-          "cache": {},
-          "timings": { "send": -1, "wait": -1, "receive": 0.719 }
-        },
-        {
-          "startedDateTime": "2023-08-31T14:55:35.586Z",
-          "time": 1.031,
-          "request": {
-            "method": "GET",
-            "url": "http://localhost:3000/api/v1/all",
-            "httpVersion": "HTTP/1.1",
-            "cookies": [],
-            "headers": [
-              { "name": "Accept", "value": "application/json, text/plain, */*" },
-              { "name": "Accept-Encoding", "value": "gzip, deflate, br" },
-              { "name": "Accept-Language", "value": "en-US,en;q=0.9" },
-              { "name": "Authorization", "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJiNWIxYjFhZC05M2VjLTRjMjgtYWMxNy01OGMxNDQ0MWI1ZGQiLCJleHAiOjE3MjUwMjk3MzV9.8qhEtryWqA9RbwEP2s20umKdVE7J7jHGoogXZqxLNWk" },
-              { "name": "Connection", "value": "keep-alive" },
-              { "name": "Cookie", "value": "access_token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJiNWIxYjFhZC05M2VjLTRjMjgtYWMxNy01OGMxNDQ0MWI1ZGQiLCJleHAiOjE3MjUwMjk3MzV9.8qhEtryWqA9RbwEP2s20umKdVE7J7jHGoogXZqxLNWk; refresh_token=auto" },
-              { "name": "Host", "value": "localhost:3000" },
-              { "name": "Referer", "value": "http://localhost:3000/" },
-              { "name": "Sec-Fetch-Dest", "value": "empty" },
-              { "name": "Sec-Fetch-Mode", "value": "cors" },
-              { "name": "Sec-Fetch-Site", "value": "same-origin" },
-              { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36" },
-              { "name": "sec-ch-ua", "value": "\"Not)A;Brand\";v=\"24\", \"Chromium\";v=\"116\"" },
-              { "name": "sec-ch-ua-mobile", "value": "?0" },
-              { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
-            ],
-            "queryString": [],
-            "headersSize": -1,
-            "bodySize": -1
+          "headersSize": -1,
+          "bodySize": -1,
+          "redirectURL": ""
+        },
+        "cache": {},
+        "timings": {
+          "send": -1,
+          "wait": -1,
+          "receive": 0.787
+        }
+      },
+      {
+        "startedDateTime": "2024-02-28T14:32:32.479Z",
+        "time": 0.836,
+        "request": {
+          "method": "GET",
+          "url": "http://localhost:3000/api/v1/flows/",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            {
+              "name": "Accept",
+              "value": "application/json, text/plain, */*"
+            },
+            {
+              "name": "Accept-Encoding",
+              "value": "gzip, deflate, br, zstd"
+            },
+            {
+              "name": "Accept-Language",
+              "value": "en-US,en;q=0.9"
+            },
+            {
+              "name": "Authorization",
+              "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIwMzg5ZmIyOS1kYWE2LTQwOGMtYjhjYi1iOGZmOGQxNzM0M2EiLCJleHAiOjE3NDA2NjY3NTB9.ef5W5jwNOeVzU3JZ7ylLYf2MLEJcVxC4-fF7EK9Ecdc"
+            },
+            {
+              "name": "Connection",
+              "value": "keep-alive"
+            },
+            {
+              "name": "Cookie",
+              "value": "access_token_lf=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIwMzg5ZmIyOS1kYWE2LTQwOGMtYjhjYi1iOGZmOGQxNzM0M2EiLCJleHAiOjE3NDA2NjY3NTB9.ef5W5jwNOeVzU3JZ7ylLYf2MLEJcVxC4-fF7EK9Ecdc"
+            },
+            {
+              "name": "Host",
+              "value": "localhost:3000"
+            },
+            {
+              "name": "Referer",
+              "value": "http://localhost:3000/flows"
+            },
+            {
+              "name": "Sec-Fetch-Dest",
+              "value": "empty"
+            },
+            {
+              "name": "Sec-Fetch-Mode",
+              "value": "cors"
+            },
+            {
+              "name": "Sec-Fetch-Site",
+              "value": "same-origin"
+            },
+            {
+              "name": "User-Agent",
+              "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/123.0.0.0 Safari/537.36"
+            },
+            {
+              "name": "sec-ch-ua",
+              "value": "\"Chromium\";v=\"123\", \"Not:A-Brand\";v=\"8\""
+            },
+            {
+              "name": "sec-ch-ua-mobile",
+              "value": "?0"
+            },
+            {
+              "name": "sec-ch-ua-platform",
+              "value": "\"Linux\""
+            }
+          ],
+          "queryString": [],
+          "headersSize": -1,
+          "bodySize": -1
+        },
+        "response": {
+          "status": 200,
+          "statusText": "OK",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            {
+              "name": "Access-Control-Allow-Origin",
+              "value": "*"
+            },
+            {
+              "name": "connection",
+              "value": "close"
+            },
+            {
+              "name": "content-length",
+              "value": "2"
+            },
+            {
+              "name": "content-type",
+              "value": "application/json"
+            },
+            {
+              "name": "date",
+              "value": "Wed, 28 Feb 2024 14:32:31 GMT"
+            },
+            {
+              "name": "server",
+              "value": "uvicorn"
+            }
+          ],
+          "content": {
+            "size": -1,
+            "mimeType": "application/json",
+            "text": "[]"
           },
-          "response": {
-            "status": 200,
-            "statusText": "OK",
-            "httpVersion": "HTTP/1.1",
-            "cookies": [],
-            "headers": [
-              { "name": "Access-Control-Allow-Origin", "value": "*" },
-              { "name": "connection", "value": "close" },
-              { "name": "content-length", "value": "251307" },
-              { "name": "content-type", "value": "application/json" },
-              { "name": "date", "value": "Thu, 31 Aug 2023 14:55:34 GMT" },
-              { "name": "server", "value": "uvicorn" }
-            ],
-            "content": {
-              "size": -1,
-              "mimeType": "application/json",
-              "text": "{\"chains\":{\"ConversationChain\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":{\"_type\":\"default\"},\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLMOutputParser\",\"list\":false},\"prompt\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":{\"input_variables\":[\"history\",\"input\"],\"input_types\":{},\"output_parser\":null,\"partial_variables\":{},\"template\":\"The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.\\n\\nCurrent conversation:\\n{history}\\nHuman: {input}\\nAI:\",\"template_format\":\"f-string\",\"validate_template\":true,\"_type\":\"prompt\"},\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false},\"input_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"input\",\"password\":false,\"name\":\"input_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"llm_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"llm_kwargs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"output_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"response\",\"password\":false,\"name\":\"output_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"return_final_only\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":true,\"password\":false,\"name\":\"return_final_only\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ConversationChain\"},\"description\":\"Chain to have a conversation and load context from memory.\",\"base_classes\":[\"LLMChain\",\"Chain\",\"ConversationChain\",\"function\"],\"display_name\":\"ConversationChain\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"ConversationalRetrievalChain\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Callbacks\",\"list\":false},\"condense_question_llm\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"condense_question_llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"condense_question_prompt\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":{\"input_variables\":[\"chat_history\",\"question\"],\"input_types\":{},\"output_parser\":null,\"partial_variables\":{},\"template\":\"Given the following conversation and a follow up question, rephrase the follow up question to be a standalone question, in its original language.\\n\\nChat History:\\n{chat_history}\\nFollow Up Input: {question}\\nStandalone question:\",\"template_format\":\"f-string\",\"validate_template\":true,\"_type\":\"prompt\"},\"password\":false,\"name\":\"condense_question_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMemory\",\"list\":false},\"retriever\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseRetriever\",\"list\":false},\"chain_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"stuff\",\"password\":false,\"options\":[\"stuff\",\"map_reduce\",\"map_rerank\",\"refine\"],\"name\":\"chain_type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"combine_docs_chain_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"combine_docs_chain_kwargs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"return_source_documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":false,\"name\":\"return_source_documents\",\"display_name\":\"Return source documents\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ConversationalRetrievalChain\"},\"description\":\"Convenience method to load chain from LLM and retriever.\",\"base_classes\":[\"BaseConversationalRetrievalChain\",\"Chain\",\"ConversationalRetrievalChain\",\"function\"],\"display_name\":\"ConversationalRetrievalChain\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/chains/popular/chat_vector_db\",\"beta\":false,\"error\":null},\"LLMChain\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLMOutputParser\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false},\"llm_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"llm_kwargs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"output_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text\",\"password\":false,\"name\":\"output_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"return_final_only\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":true,\"password\":false,\"name\":\"return_final_only\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"LLMChain\"},\"description\":\"Chain to run queries against LLMs.\",\"base_classes\":[\"LLMChain\",\"Chain\",\"function\"],\"display_name\":\"LLMChain\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/chains/foundational/llm_chain\",\"beta\":false,\"error\":null},\"LLMCheckerChain\":{\"template\":{\"check_assertions_prompt\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":{\"input_variables\":[\"assertions\"],\"input_types\":{},\"output_parser\":null,\"partial_variables\":{},\"template\":\"Here is a bullet point list of assertions:\\n{assertions}\\nFor each assertion, determine whether it is true or false. If it is false, explain why.\\n\\n\",\"template_format\":\"f-string\",\"validate_template\":true,\"_type\":\"prompt\"},\"password\":false,\"name\":\"check_assertions_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"PromptTemplate\",\"list\":false},\"create_draft_answer_prompt\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":{\"input_variables\":[\"question\"],\"input_types\":{},\"output_parser\":null,\"partial_variables\":{},\"template\":\"{question}\\n\\n\",\"template_format\":\"f-string\",\"validate_template\":true,\"_type\":\"prompt\"},\"password\":false,\"name\":\"create_draft_answer_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"PromptTemplate\",\"list\":false},\"list_assertions_prompt\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":{\"input_variables\":[\"statement\"],\"input_types\":{},\"output_parser\":null,\"partial_variables\":{},\"template\":\"Here is a statement:\\n{statement}\\nMake a bullet point list of the assumptions you made when producing the above statement.\\n\\n\",\"template_format\":\"f-string\",\"validate_template\":true,\"_type\":\"prompt\"},\"password\":false,\"name\":\"list_assertions_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"PromptTemplate\",\"list\":false},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"revised_answer_prompt\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":{\"input_variables\":[\"checked_assertions\",\"question\"],\"input_types\":{},\"output_parser\":null,\"partial_variables\":{},\"template\":\"{checked_assertions}\\n\\nQuestion: In light of the above assertions and checks, how would you answer the question '{question}'?\\n\\nAnswer:\",\"template_format\":\"f-string\",\"validate_template\":true,\"_type\":\"prompt\"},\"password\":false,\"name\":\"revised_answer_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"PromptTemplate\",\"list\":false},\"_type\":\"LLMCheckerChain\"},\"description\":\"\",\"base_classes\":[\"Chain\",\"LLMCheckerChain\",\"function\"],\"display_name\":\"LLMCheckerChain\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/chains/additional/llm_checker\",\"beta\":false,\"error\":null},\"LLMMathChain\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"llm_chain\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm_chain\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"LLMChain\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":{\"input_variables\":[\"question\"],\"input_types\":{},\"output_parser\":null,\"partial_variables\":{},\"template\":\"Translate a math problem into a expression that can be executed using Python's numexpr library. Use the output of running this code to answer the question.\\n\\nQuestion: ${{Question with math problem.}}\\n```text\\n${{single line mathematical expression that solves the problem}}\\n```\\n...numexpr.evaluate(text)...\\n```output\\n${{Output of running the code}}\\n```\\nAnswer: ${{Answer}}\\n\\nBegin.\\n\\nQuestion: What is 37593 * 67?\\n```text\\n37593 * 67\\n```\\n...numexpr.evaluate(\\\"37593 * 67\\\")...\\n```output\\n2518731\\n```\\nAnswer: 2518731\\n\\nQuestion: 37593^(1/5)\\n```text\\n37593**(1/5)\\n```\\n...numexpr.evaluate(\\\"37593**(1/5)\\\")...\\n```output\\n8.222831614237718\\n```\\nAnswer: 8.222831614237718\\n\\nQuestion: {question}\\n\",\"template_format\":\"f-string\",\"validate_template\":true,\"_type\":\"prompt\"},\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false},\"input_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"question\",\"password\":false,\"name\":\"input_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"output_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"answer\",\"password\":false,\"name\":\"output_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"LLMMathChain\"},\"description\":\"Chain that interprets a prompt and executes python code to do math.\",\"base_classes\":[\"Chain\",\"LLMMathChain\",\"function\"],\"display_name\":\"LLMMathChain\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/chains/additional/llm_math\",\"beta\":false,\"error\":null},\"RetrievalQA\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"combine_documents_chain\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"combine_documents_chain\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseCombineDocumentsChain\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"retriever\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseRetriever\",\"list\":false},\"input_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"query\",\"password\":false,\"name\":\"input_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"output_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"result\",\"password\":false,\"name\":\"output_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"return_source_documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":false,\"name\":\"return_source_documents\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"RetrievalQA\"},\"description\":\"Chain for question-answering against an index.\",\"base_classes\":[\"Chain\",\"RetrievalQA\",\"BaseRetrievalQA\",\"function\"],\"display_name\":\"RetrievalQA\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/chains/popular/vector_db_qa\",\"beta\":false,\"error\":null},\"RetrievalQAWithSourcesChain\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"combine_documents_chain\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"combine_documents_chain\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseCombineDocumentsChain\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"retriever\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseRetriever\",\"list\":false},\"answer_key\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"answer\",\"password\":false,\"name\":\"answer_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"input_docs_key\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"docs\",\"password\":false,\"name\":\"input_docs_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"max_tokens_limit\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":3375,\"password\":false,\"name\":\"max_tokens_limit\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"question_key\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"question\",\"password\":false,\"name\":\"question_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"reduce_k_below_max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"reduce_k_below_max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"return_source_documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":false,\"name\":\"return_source_documents\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"sources_answer_key\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"sources\",\"password\":false,\"name\":\"sources_answer_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"RetrievalQAWithSourcesChain\"},\"description\":\"Question-answering with sources over an index.\",\"base_classes\":[\"Chain\",\"BaseQAWithSourcesChain\",\"RetrievalQAWithSourcesChain\",\"function\"],\"display_name\":\"RetrievalQAWithSourcesChain\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"SQLDatabaseChain\":{\"template\":{\"db\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"db\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"SQLDatabase\",\"list\":false},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false},\"_type\":\"SQLDatabaseChain\"},\"description\":\"\",\"base_classes\":[\"Chain\",\"SQLDatabaseChain\",\"function\"],\"display_name\":\"SQLDatabaseChain\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"CombineDocsChain\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"chain_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"stuff\",\"password\":false,\"options\":[\"stuff\",\"map_reduce\",\"map_rerank\",\"refine\"],\"name\":\"chain_type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"_type\":\"load_qa_chain\"},\"description\":\"Load question answering chain.\",\"base_classes\":[\"BaseCombineDocumentsChain\",\"function\"],\"display_name\":\"CombineDocsChain\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"SeriesCharacterChain\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"character\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"character\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"series\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"series\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"SeriesCharacterChain\"},\"description\":\"SeriesCharacterChain is a chain you can use to have a conversation with a character from a series.\",\"base_classes\":[\"LLMChain\",\"BaseCustomChain\",\"Chain\",\"ConversationChain\",\"SeriesCharacterChain\",\"function\"],\"display_name\":\"SeriesCharacterChain\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"MidJourneyPromptChain\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMemory\",\"list\":false},\"_type\":\"MidJourneyPromptChain\"},\"description\":\"MidJourneyPromptChain is a chain you can use to generate new MidJourney prompts.\",\"base_classes\":[\"LLMChain\",\"BaseCustomChain\",\"Chain\",\"ConversationChain\",\"MidJourneyPromptChain\"],\"display_name\":\"MidJourneyPromptChain\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"TimeTravelGuideChain\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMemory\",\"list\":false},\"_type\":\"TimeTravelGuideChain\"},\"description\":\"Time travel guide chain.\",\"base_classes\":[\"LLMChain\",\"BaseCustomChain\",\"TimeTravelGuideChain\",\"Chain\",\"ConversationChain\"],\"display_name\":\"TimeTravelGuideChain\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"PromptRunner\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.prompts import PromptTemplate\\nfrom langchain.schema import Document\\n\\n\\nclass PromptRunner(CustomComponent):\\n    display_name: str = \\\"Prompt Runner\\\"\\n    description: str = \\\"Run a Chain with the given PromptTemplate\\\"\\n    beta = True\\n    field_config = {\\n        \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n        \\\"prompt\\\": {\\n            \\\"display_name\\\": \\\"Prompt Template\\\",\\n            \\\"info\\\": \\\"Make sure the prompt has all variables filled.\\\",\\n        },\\n        \\\"code\\\": {\\\"show\\\": False},\\n    }\\n\\n    def build(\\n        self, llm: BaseLLM, prompt: PromptTemplate, inputs: dict = {}\\n    ) -> Document:\\n        chain = prompt | llm\\n        # The input is an empty dict because the prompt is already filled\\n        result = chain.invoke(input=inputs)\\n        if hasattr(result, \\\"content\\\"):\\n            result = result.content\\n        self.repr_value = result\\n        return Document(page_content=str(result))\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"inputs\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":{},\"password\":false,\"name\":\"inputs\",\"display_name\":\"inputs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLM\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt Template\",\"advanced\":false,\"dynamic\":false,\"info\":\"Make sure the prompt has all variables filled.\",\"type\":\"PromptTemplate\",\"list\":false}},\"description\":\"Run a Chain with the given PromptTemplate\",\"base_classes\":[\"Document\"],\"display_name\":\"Prompt Runner\",\"custom_fields\":{\"inputs\":null,\"llm\":null,\"prompt\":null},\"output_types\":[\"PromptRunner\"],\"documentation\":\"\",\"beta\":true,\"error\":null}},\"agents\":{\"ZeroShotAgent\":{\"template\":{\"callback_manager\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callback_manager\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseCallbackManager\",\"list\":false},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"AgentOutputParser\",\"list\":false},\"tools\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseTool\",\"list\":true},\"format_instructions\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"Use the following format:\\n\\nQuestion: the input question you must answer\\nThought: you should always think about what to do\\nAction: the action to take, should be one of [{tool_names}]\\nAction Input: the input to the action\\nObservation: the result of the action\\n... (this Thought/Action/Action Input/Observation can repeat N times)\\nThought: I now know the final answer\\nFinal Answer: the final answer to the original input question\",\"password\":false,\"name\":\"format_instructions\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"input_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"Answer the following questions as best you can. You have access to the following tools:\",\"password\":false,\"name\":\"prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"suffix\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"Begin!\\n\\nQuestion: {input}\\nThought:{agent_scratchpad}\",\"password\":false,\"name\":\"suffix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"ZeroShotAgent\"},\"description\":\"Construct an agent from an LLM and tools.\",\"base_classes\":[\"Agent\",\"BaseSingleActionAgent\",\"ZeroShotAgent\",\"function\"],\"display_name\":\"ZeroShotAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/how_to/custom_mrkl_agent\",\"beta\":false,\"error\":null},\"JsonAgent\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"toolkit\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"toolkit\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseToolkit\",\"list\":false},\"_type\":\"json_agent\"},\"description\":\"Construct a json agent from an LLM and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"JsonAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/openapi\",\"beta\":false,\"error\":null},\"CSVAgent\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"suffixes\":[\".csv\"],\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\"csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"beta\":false,\"error\":null},\"AgentInitializer\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMemory\",\"list\":false},\"tools\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Tool\",\"list\":true},\"agent\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"zero-shot-react-description\",\"password\":false,\"options\":[\"zero-shot-react-description\",\"react-docstore\",\"self-ask-with-search\",\"conversational-react-description\",\"openai-functions\",\"openai-multi-functions\"],\"name\":\"agent\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"_type\":\"initialize_agent\"},\"description\":\"Construct a zero shot agent from an LLM and tools.\",\"base_classes\":[\"AgentExecutor\",\"function\"],\"display_name\":\"AgentInitializer\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/agent_types/\",\"beta\":false,\"error\":null},\"VectorStoreAgent\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"vectorstoreinfo\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"vectorstoreinfo\",\"display_name\":\"Vector Store Info\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"VectorStoreInfo\",\"list\":false},\"_type\":\"vectorstore_agent\"},\"description\":\"Construct an agent from a Vector Store.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"VectorStoreAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"VectorStoreRouterAgent\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"vectorstoreroutertoolkit\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"vectorstoreroutertoolkit\",\"display_name\":\"Vector Store Router Toolkit\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"VectorStoreRouterToolkit\",\"list\":false},\"_type\":\"vectorstorerouter_agent\"},\"description\":\"Construct an agent from a Vector Store Router.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"VectorStoreRouterAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"SQLAgent\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"database_uri\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"database_uri\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"sql_agent\"},\"description\":\"Construct an SQL agent from an LLM and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"SQLAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"OpenAIConversationalAgent\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import Optional\\nfrom langchain.prompts import SystemMessagePromptTemplate\\nfrom langchain.tools import Tool\\nfrom langchain.schema.memory import BaseMemory\\nfrom langchain.chat_models import ChatOpenAI\\n\\nfrom langchain.agents.agent import AgentExecutor\\nfrom langchain.agents.openai_functions_agent.base import OpenAIFunctionsAgent\\nfrom langchain.memory.token_buffer import ConversationTokenBufferMemory\\nfrom langchain.prompts.chat import MessagesPlaceholder\\nfrom langchain.agents.agent_toolkits.conversational_retrieval.openai_functions import (\\n    _get_default_system_message,\\n)\\n\\n\\nclass ConversationalAgent(CustomComponent):\\n    display_name: str = \\\"OpenAI Conversational Agent\\\"\\n    description: str = \\\"Conversational Agent that can use OpenAI's function calling API\\\"\\n\\n    def build_config(self):\\n        openai_function_models = [\\n            \\\"gpt-3.5-turbo-0613\\\",\\n            \\\"gpt-3.5-turbo-16k-0613\\\",\\n            \\\"gpt-4-0613\\\",\\n            \\\"gpt-4-32k-0613\\\",\\n        ]\\n        return {\\n            \\\"tools\\\": {\\\"is_list\\\": True, \\\"display_name\\\": \\\"Tools\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"system_message\\\": {\\\"display_name\\\": \\\"System Message\\\"},\\n            \\\"max_token_limit\\\": {\\\"display_name\\\": \\\"Max Token Limit\\\"},\\n            \\\"model_name\\\": {\\n                \\\"display_name\\\": \\\"Model Name\\\",\\n                \\\"options\\\": openai_function_models,\\n                \\\"value\\\": openai_function_models[0],\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_name: str,\\n        openai_api_key: str,\\n        tools: Tool,\\n        openai_api_base: Optional[str] = None,\\n        memory: Optional[BaseMemory] = None,\\n        system_message: Optional[SystemMessagePromptTemplate] = None,\\n        max_token_limit: int = 2000,\\n    ) -> AgentExecutor:\\n        llm = ChatOpenAI(\\n            model=model_name,\\n            openai_api_key=openai_api_key,\\n            openai_api_base=openai_api_base,\\n        )\\n        if not memory:\\n            memory_key = \\\"chat_history\\\"\\n            memory = ConversationTokenBufferMemory(\\n                memory_key=memory_key,\\n                return_messages=True,\\n                output_key=\\\"output\\\",\\n                llm=llm,\\n                max_token_limit=max_token_limit,\\n            )\\n        else:\\n            memory_key = memory.memory_key  # type: ignore\\n\\n        _system_message = system_message or _get_default_system_message()\\n        prompt = OpenAIFunctionsAgent.create_prompt(\\n            system_message=_system_message,  # type: ignore\\n            extra_prompt_messages=[MessagesPlaceholder(variable_name=memory_key)],\\n        )\\n        agent = OpenAIFunctionsAgent(\\n            llm=llm, tools=tools, prompt=prompt  # type: ignore\\n        )\\n        return AgentExecutor(\\n            agent=agent,\\n            tools=tools,  # type: ignore\\n            memory=memory,\\n            verbose=True,\\n            return_intermediate_steps=True,\\n            handle_parsing_errors=True,\\n        )\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"max_token_limit\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":2000,\"password\":false,\"name\":\"max_token_limit\",\"display_name\":\"Max Token Limit\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"model_name\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-3.5-turbo-0613\",\"password\":false,\"options\":[\"gpt-3.5-turbo-0613\",\"gpt-3.5-turbo-16k-0613\",\"gpt-4-0613\",\"gpt-4-32k-0613\"],\"name\":\"model_name\",\"display_name\":\"Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"openai_api_base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_key\",\"display_name\":\"openai_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"system_message\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"system_message\",\"display_name\":\"System Message\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"SystemMessagePromptTemplate\",\"list\":false},\"tools\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Tool\",\"list\":true}},\"description\":\"Conversational Agent that can use OpenAI's function calling API\",\"base_classes\":[\"Chain\",\"AgentExecutor\"],\"display_name\":\"OpenAI Conversational Agent\",\"custom_fields\":{\"max_token_limit\":null,\"memory\":null,\"model_name\":null,\"openai_api_base\":null,\"openai_api_key\":null,\"system_message\":null,\"tools\":null},\"output_types\":[\"OpenAIConversationalAgent\"],\"documentation\":\"\",\"beta\":true,\"error\":null}},\"prompts\":{\"ChatMessagePromptTemplate\":{\"template\":{\"additional_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"additional_kwargs\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\\nYou are a helpful assistant that talks casually about life in general.\\nYou are a good listener and you can talk about anything.\\n\",\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false},\"role\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"role\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"ChatMessagePromptTemplate\"},\"description\":\"Chat message prompt template.\",\"base_classes\":[\"BaseStringMessagePromptTemplate\",\"ChatMessagePromptTemplate\",\"BaseMessagePromptTemplate\"],\"display_name\":\"ChatMessagePromptTemplate\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/msg_prompt_templates\",\"beta\":false,\"error\":null},\"ChatPromptTemplate\":{\"template\":{\"messages\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"messages\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseMessagePromptTemplate\",\"list\":true},\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"ChatPromptTemplate\"},\"description\":\"A prompt template for chat models.\",\"base_classes\":[\"BaseChatPromptTemplate\",\"BasePromptTemplate\",\"ChatPromptTemplate\"],\"display_name\":\"ChatPromptTemplate\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/how_to/prompts\",\"beta\":false,\"error\":null},\"HumanMessagePromptTemplate\":{\"template\":{\"additional_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"additional_kwargs\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\\nYou are a helpful assistant that talks casually about life in general.\\nYou are a good listener and you can talk about anything.\\n\",\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false},\"_type\":\"HumanMessagePromptTemplate\"},\"description\":\"Human message prompt template. This is a message sent from the user.\",\"base_classes\":[\"BaseStringMessagePromptTemplate\",\"HumanMessagePromptTemplate\",\"BaseMessagePromptTemplate\"],\"display_name\":\"HumanMessagePromptTemplate\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/how_to/prompts\",\"beta\":false,\"error\":null},\"PromptTemplate\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":true,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\"},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"display_name\":\"PromptTemplate\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"beta\":false,\"error\":null},\"SystemMessagePromptTemplate\":{\"template\":{\"additional_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"additional_kwargs\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\\nYou are a helpful assistant that talks casually about life in general.\\nYou are a good listener and you can talk about anything.\\n\",\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false},\"_type\":\"SystemMessagePromptTemplate\"},\"description\":\"System message prompt template.\",\"base_classes\":[\"BaseStringMessagePromptTemplate\",\"BaseMessagePromptTemplate\",\"SystemMessagePromptTemplate\"],\"display_name\":\"SystemMessagePromptTemplate\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/how_to/prompts\",\"beta\":false,\"error\":null}},\"llms\":{\"Anthropic\":{\"template\":{\"anthropic_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"anthropic_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"SecretStr\",\"list\":false},\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"count_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"count_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Callable[[str], int]\",\"list\":false},\"AI_PROMPT\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"AI_PROMPT\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"HUMAN_PROMPT\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"HUMAN_PROMPT\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"anthropic_api_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"anthropic_api_url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"max_tokens_to_sample\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":256,\"password\":false,\"name\":\"max_tokens_to_sample\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"claude-2\",\"password\":false,\"name\":\"model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"top_k\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"top_k\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"top_p\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"top_p\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"Anthropic\"},\"description\":\"Anthropic large language models.\",\"base_classes\":[\"_AnthropicCommon\",\"BaseLanguageModel\",\"Anthropic\",\"BaseLLM\",\"LLM\"],\"display_name\":\"Anthropic\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"Cohere\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cohere_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"cohere_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"frequency_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0.0,\"password\":false,\"name\":\"frequency_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"k\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"k\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":10,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":256,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"p\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"p\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"presence_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0.0,\"password\":false,\"name\":\"presence_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"stop\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"stop\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.75,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"truncate\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"truncate\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"Cohere\"},\"description\":\"Cohere large language models.\",\"base_classes\":[\"BaseLanguageModel\",\"BaseLLM\",\"LLM\",\"BaseCohere\",\"Cohere\"],\"display_name\":\"Cohere\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/cohere\",\"beta\":false,\"error\":null},\"CTransformers\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"config\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"{\\n  \\\"top_k\\\": 40,\\n  \\\"top_p\\\": 0.95,\\n  \\\"temperature\\\": 0.8,\\n  \\\"repetition_penalty\\\": 1.1,\\n  \\\"last_n_tokens\\\": 64,\\n  \\\"seed\\\": -1,\\n  \\\"max_new_tokens\\\": 256,\\n  \\\"stop\\\": null,\\n  \\\"stream\\\": false,\\n  \\\"reset\\\": true,\\n  \\\"batch_size\\\": 8,\\n  \\\"threads\\\": -1,\\n  \\\"context_length\\\": -1,\\n  \\\"gpu_layers\\\": 0\\n}\",\"password\":false,\"name\":\"config\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"lib\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"lib\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_file\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_file\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_type\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"CTransformers\"},\"description\":\"C Transformers LLM models.\",\"base_classes\":[\"CTransformers\",\"BaseLanguageModel\",\"BaseLLM\",\"LLM\"],\"display_name\":\"CTransformers\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/ctransformers\",\"beta\":false,\"error\":null},\"HuggingFaceHub\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"huggingfacehub_api_token\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"huggingfacehub_api_token\",\"display_name\":\"HuggingFace Hub API Token\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"repo_id\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt2\",\"password\":false,\"name\":\"repo_id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"task\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-generation\",\"password\":false,\"options\":[\"text-generation\",\"text2text-generation\",\"summarization\"],\"name\":\"task\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"HuggingFaceHub\"},\"description\":\"HuggingFaceHub  models.\",\"base_classes\":[\"HuggingFaceHub\",\"BaseLanguageModel\",\"BaseLLM\",\"LLM\"],\"display_name\":\"HuggingFaceHub\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/huggingface_hub\",\"beta\":false,\"error\":null},\"LlamaCpp\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"grammar\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"grammar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"ForwardRef('str\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"echo\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"echo\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"f16_kv\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":false,\"name\":\"f16_kv\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"grammar_path\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"grammar_path\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"last_n_tokens_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":64,\"password\":false,\"name\":\"last_n_tokens_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"logits_all\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"logits_all\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"logprobs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"logprobs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"lora_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"lora_base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"lora_path\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"lora_path\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":256,\"password\":true,\"name\":\"max_tokens\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"n_batch\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":8,\"password\":false,\"name\":\"n_batch\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"n_ctx\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":512,\"password\":false,\"name\":\"n_ctx\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"n_gpu_layers\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"n_gpu_layers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"n_parts\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":-1,\"password\":false,\"name\":\"n_parts\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"n_threads\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"n_threads\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"repeat_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1.1,\"password\":false,\"name\":\"repeat_penalty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"rope_freq_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":10000.0,\"password\":false,\"name\":\"rope_freq_base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"rope_freq_scale\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1.0,\"password\":false,\"name\":\"rope_freq_scale\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"seed\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":-1,\"password\":false,\"name\":\"seed\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"stop\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"stop\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":false,\"name\":\"streaming\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"suffix\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"suffix\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.8,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"top_k\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":40,\"password\":false,\"name\":\"top_k\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"top_p\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.95,\"password\":false,\"name\":\"top_p\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"use_mlock\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_mlock\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"use_mmap\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":false,\"name\":\"use_mmap\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"vocab_only\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"vocab_only\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"LlamaCpp\"},\"description\":\"llama.cpp model.\",\"base_classes\":[\"BaseLanguageModel\",\"BaseLLM\",\"LLM\",\"LlamaCpp\"],\"display_name\":\"LlamaCpp\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/llamacpp\",\"beta\":false,\"error\":null},\"OpenAI\":{\"template\":{\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Literal'all'\",\"list\":true},\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Literal'all'\",\"list\":false},\"batch_size\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":20,\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"best_of\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"best_of\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"frequency_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"frequency_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"logit_bias\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"logit_bias\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":256,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-davinci-003\",\"password\":false,\"options\":[\"text-davinci-003\",\"text-davinci-002\",\"text-curie-001\",\"text-babbage-001\",\"text-ada-001\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"presence_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"presence_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"top_p\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"top_p\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"OpenAI\"},\"description\":\"OpenAI large language models.\",\"base_classes\":[\"BaseLanguageModel\",\"BaseLLM\",\"BaseOpenAI\",\"OpenAI\"],\"display_name\":\"OpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai\",\"beta\":false,\"error\":null},\"VertexAI\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"ForwardRef(\\\"'_LanguageModel'\\\")\",\"list\":false},\"credentials\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"suffixes\":[\".json\"],\"password\":false,\"name\":\"credentials\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\"json\"],\"file_path\":null},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"location\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"us-central1\",\"password\":false,\"name\":\"location\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"max_output_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":128,\"password\":false,\"name\":\"max_output_tokens\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-bison\",\"password\":false,\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"project\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"project\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_parallelism\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"request_parallelism\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"stop\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"stop\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.0,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"top_k\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":40,\"password\":false,\"name\":\"top_k\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"top_p\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.95,\"password\":false,\"name\":\"top_p\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tuned_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"tuned_model_name\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"VertexAI\"},\"description\":\"Google Vertex AI large language models.\",\"base_classes\":[\"_VertexAICommon\",\"VertexAI\",\"BaseLanguageModel\",\"BaseLLM\",\"_VertexAIBase\"],\"display_name\":\"VertexAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/google_vertex_ai_palm\",\"beta\":false,\"error\":null},\"ChatAnthropic\":{\"template\":{\"anthropic_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"anthropic_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"SecretStr\",\"list\":false},\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"count_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"count_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Callable[[str], int]\",\"list\":false},\"AI_PROMPT\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"AI_PROMPT\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"HUMAN_PROMPT\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"HUMAN_PROMPT\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"anthropic_api_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"anthropic_api_url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"max_tokens_to_sample\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":256,\"password\":false,\"name\":\"max_tokens_to_sample\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"claude-2\",\"password\":false,\"name\":\"model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"top_k\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"top_k\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"top_p\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"top_p\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatAnthropic\"},\"description\":\"`Anthropic` chat large language models.\",\"base_classes\":[\"_AnthropicCommon\",\"BaseLanguageModel\",\"BaseChatModel\",\"ChatAnthropic\",\"BaseLLM\"],\"display_name\":\"ChatAnthropic\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/anthropic\",\"beta\":false,\"error\":null},\"ChatOpenAI\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-3.5-turbo-0613\",\"password\":false,\"options\":[\"gpt-3.5-turbo-0613\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k-0613\",\"gpt-3.5-turbo-16k\",\"gpt-4-0613\",\"gpt-4-32k-0613\",\"gpt-4\",\"gpt-4-32k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"BaseChatModel\",\"ChatOpenAI\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"ChatVertexAI\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"ForwardRef(\\\"'_LanguageModel'\\\")\",\"list\":false},\"credentials\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"suffixes\":[\".json\"],\"password\":false,\"name\":\"credentials\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\"json\"],\"file_path\":null},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"location\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"us-central1\",\"password\":false,\"name\":\"location\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"max_output_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":128,\"password\":false,\"name\":\"max_output_tokens\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"chat-bison\",\"password\":false,\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"project\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"project\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_parallelism\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"request_parallelism\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"stop\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"stop\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.0,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"top_k\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":40,\"password\":false,\"name\":\"top_k\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"top_p\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.95,\"password\":false,\"name\":\"top_p\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatVertexAI\"},\"description\":\"`Vertex AI` Chat large language models API.\",\"base_classes\":[\"_VertexAICommon\",\"BaseChatModel\",\"BaseLanguageModel\",\"_VertexAIBase\",\"ChatVertexAI\",\"BaseLLM\"],\"display_name\":\"ChatVertexAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/google_vertex_ai_palm\",\"beta\":false,\"error\":null},\"HuggingFaceEndpoints\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.llms.huggingface_endpoint import HuggingFaceEndpoint\\nfrom langchain.llms.base import BaseLLM\\n\\n\\nclass HuggingFaceEndpointsComponent(CustomComponent):\\n    display_name: str = \\\"Hugging Face Inference API\\\"\\n    description: str = \\\"LLM model from Hugging Face Inference API.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Endpoint URL\\\", \\\"password\\\": True},\\n            \\\"task\\\": {\\n                \\\"display_name\\\": \\\"Task\\\",\\n                \\\"options\\\": [\\\"text2text-generation\\\", \\\"text-generation\\\", \\\"summarization\\\"],\\n            },\\n            \\\"huggingfacehub_api_token\\\": {\\\"display_name\\\": \\\"API token\\\", \\\"password\\\": True},\\n            \\\"model_kwargs\\\": {\\n                \\\"display_name\\\": \\\"Model Keyword Arguments\\\",\\n                \\\"field_type\\\": \\\"code\\\",\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        endpoint_url: str,\\n        task: str = \\\"text2text-generation\\\",\\n        huggingfacehub_api_token: Optional[str] = None,\\n        model_kwargs: Optional[dict] = None,\\n    ) -> BaseLLM:\\n        try:\\n            output = HuggingFaceEndpoint(\\n                endpoint_url=endpoint_url,\\n                task=task,\\n                huggingfacehub_api_token=huggingfacehub_api_token,\\n                model_kwargs=model_kwargs,\\n            )\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to HuggingFace Endpoints API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"endpoint_url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"endpoint_url\",\"display_name\":\"Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"huggingfacehub_api_token\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"huggingfacehub_api_token\",\"display_name\":\"API token\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"display_name\":\"Model Keyword Arguments\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"code\",\"list\":false},\"task\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text2text-generation\",\"password\":false,\"options\":[\"text2text-generation\",\"text-generation\",\"summarization\"],\"name\":\"task\",\"display_name\":\"Task\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true}},\"description\":\"LLM model from Hugging Face Inference API.\",\"base_classes\":[\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"Hugging Face Inference API\",\"custom_fields\":{\"endpoint_url\":null,\"huggingfacehub_api_token\":null,\"model_kwargs\":null,\"task\":null},\"output_types\":[\"HuggingFaceEndpoints\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"BaiduQianfanChatEndpoints\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.chat_models.baidu_qianfan_endpoint import QianfanChatEndpoint\\nfrom langchain.llms.base import BaseLLM\\n\\n\\nclass QianfanChatEndpointComponent(CustomComponent):\\n    display_name: str = \\\"QianfanChatEndpoint\\\"\\n    description: str = (\\n        \\\"Baidu Qianfan chat models. Get more detail from \\\"\\n        \\\"https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint.\\\"\\n    )\\n\\n    def build_config(self):\\n        return {\\n            \\\"model\\\": {\\n                \\\"display_name\\\": \\\"Model Name\\\",\\n                \\\"options\\\": [\\n                    \\\"ERNIE-Bot\\\",\\n                    \\\"ERNIE-Bot-turbo\\\",\\n                    \\\"BLOOMZ-7B\\\",\\n                    \\\"Llama-2-7b-chat\\\",\\n                    \\\"Llama-2-13b-chat\\\",\\n                    \\\"Llama-2-70b-chat\\\",\\n                    \\\"Qianfan-BLOOMZ-7B-compressed\\\",\\n                    \\\"Qianfan-Chinese-Llama-2-7B\\\",\\n                    \\\"ChatGLM2-6B-32K\\\",\\n                    \\\"AquilaChat-7B\\\",\\n                ],\\n                \\\"info\\\": \\\"https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\\\",\\n                \\\"required\\\": True,\\n            },\\n            \\\"qianfan_ak\\\": {\\n                \\\"display_name\\\": \\\"Qianfan Ak\\\",\\n                \\\"required\\\": True,\\n                \\\"password\\\": True,\\n                \\\"info\\\": \\\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\\\",\\n            },\\n            \\\"qianfan_sk\\\": {\\n                \\\"display_name\\\": \\\"Qianfan Sk\\\",\\n                \\\"required\\\": True,\\n                \\\"password\\\": True,\\n                \\\"info\\\": \\\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\\\",\\n            },\\n            \\\"top_p\\\": {\\n                \\\"display_name\\\": \\\"Top p\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n                \\\"value\\\": 0.8,\\n            },\\n            \\\"temperature\\\": {\\n                \\\"display_name\\\": \\\"Temperature\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n                \\\"value\\\": 0.95,\\n            },\\n            \\\"penalty_score\\\": {\\n                \\\"display_name\\\": \\\"Penalty Score\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n                \\\"value\\\": 1.0,\\n            },\\n            \\\"endpoint\\\": {\\n                \\\"display_name\\\": \\\"Endpoint\\\",\\n                \\\"info\\\": \\\"Endpoint of the Qianfan LLM, required if custom model used.\\\",\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model: str = \\\"ERNIE-Bot-turbo\\\",\\n        qianfan_ak: Optional[str] = None,\\n        qianfan_sk: Optional[str] = None,\\n        top_p: Optional[float] = None,\\n        temperature: Optional[float] = None,\\n        penalty_score: Optional[float] = None,\\n        endpoint: Optional[str] = None,\\n    ) -> BaseLLM:\\n        try:\\n            output = QianfanChatEndpoint(  # type: ignore\\n                model=model,\\n                qianfan_ak=qianfan_ak,\\n                qianfan_sk=qianfan_sk,\\n                top_p=top_p,\\n                temperature=temperature,\\n                penalty_score=penalty_score,\\n                endpoint=endpoint,\\n            )\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to Baidu Qianfan API.\\\") from e\\n        return output  # type: ignore\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"endpoint\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint\",\"display_name\":\"Endpoint\",\"advanced\":false,\"dynamic\":false,\"info\":\"Endpoint of the Qianfan LLM, required if custom model used.\",\"type\":\"str\",\"list\":false},\"model\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"ERNIE-Bot-turbo\",\"password\":false,\"options\":[\"ERNIE-Bot\",\"ERNIE-Bot-turbo\",\"BLOOMZ-7B\",\"Llama-2-7b-chat\",\"Llama-2-13b-chat\",\"Llama-2-70b-chat\",\"Qianfan-BLOOMZ-7B-compressed\",\"Qianfan-Chinese-Llama-2-7B\",\"ChatGLM2-6B-32K\",\"AquilaChat-7B\"],\"name\":\"model\",\"display_name\":\"Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\",\"type\":\"str\",\"list\":true},\"penalty_score\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1.0,\"password\":false,\"name\":\"penalty_score\",\"display_name\":\"Penalty Score\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"type\":\"float\",\"list\":false},\"qianfan_ak\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"qianfan_ak\",\"display_name\":\"Qianfan Ak\",\"advanced\":false,\"dynamic\":false,\"info\":\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\",\"type\":\"str\",\"list\":false},\"qianfan_sk\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"qianfan_sk\",\"display_name\":\"Qianfan Sk\",\"advanced\":false,\"dynamic\":false,\"info\":\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\",\"type\":\"str\",\"list\":false},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.95,\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"type\":\"float\",\"list\":false},\"top_p\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.8,\"password\":false,\"name\":\"top_p\",\"display_name\":\"Top p\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"type\":\"float\",\"list\":false}},\"description\":\"Baidu Qianfan chat models. Get more detail from https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint.\",\"base_classes\":[\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"QianfanChatEndpoint\",\"custom_fields\":{\"endpoint\":null,\"model\":null,\"penalty_score\":null,\"qianfan_ak\":null,\"qianfan_sk\":null,\"temperature\":null,\"top_p\":null},\"output_types\":[\"BaiduQianfanChatEndpoints\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"BaiduQianfanLLMEndpoints\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.llms.baidu_qianfan_endpoint import QianfanLLMEndpoint\\nfrom langchain.llms.base import BaseLLM\\n\\n\\nclass QianfanLLMEndpointComponent(CustomComponent):\\n    display_name: str = \\\"QianfanLLMEndpoint\\\"\\n    description: str = (\\n        \\\"Baidu Qianfan hosted open source or customized models. \\\"\\n        \\\"Get more detail from https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\\\"\\n    )\\n\\n    def build_config(self):\\n        return {\\n            \\\"model\\\": {\\n                \\\"display_name\\\": \\\"Model Name\\\",\\n                \\\"options\\\": [\\n                    \\\"ERNIE-Bot\\\",\\n                    \\\"ERNIE-Bot-turbo\\\",\\n                    \\\"BLOOMZ-7B\\\",\\n                    \\\"Llama-2-7b-chat\\\",\\n                    \\\"Llama-2-13b-chat\\\",\\n                    \\\"Llama-2-70b-chat\\\",\\n                    \\\"Qianfan-BLOOMZ-7B-compressed\\\",\\n                    \\\"Qianfan-Chinese-Llama-2-7B\\\",\\n                    \\\"ChatGLM2-6B-32K\\\",\\n                    \\\"AquilaChat-7B\\\",\\n                ],\\n                \\\"info\\\": \\\"https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\\\",\\n                \\\"required\\\": True,\\n            },\\n            \\\"qianfan_ak\\\": {\\n                \\\"display_name\\\": \\\"Qianfan Ak\\\",\\n                \\\"required\\\": True,\\n                \\\"password\\\": True,\\n                \\\"info\\\": \\\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\\\",\\n            },\\n            \\\"qianfan_sk\\\": {\\n                \\\"display_name\\\": \\\"Qianfan Sk\\\",\\n                \\\"required\\\": True,\\n                \\\"password\\\": True,\\n                \\\"info\\\": \\\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\\\",\\n            },\\n            \\\"top_p\\\": {\\n                \\\"display_name\\\": \\\"Top p\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n                \\\"value\\\": 0.8,\\n            },\\n            \\\"temperature\\\": {\\n                \\\"display_name\\\": \\\"Temperature\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n                \\\"value\\\": 0.95,\\n            },\\n            \\\"penalty_score\\\": {\\n                \\\"display_name\\\": \\\"Penalty Score\\\",\\n                \\\"field_type\\\": \\\"float\\\",\\n                \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n                \\\"value\\\": 1.0,\\n            },\\n            \\\"endpoint\\\": {\\n                \\\"display_name\\\": \\\"Endpoint\\\",\\n                \\\"info\\\": \\\"Endpoint of the Qianfan LLM, required if custom model used.\\\",\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model: str = \\\"ERNIE-Bot-turbo\\\",\\n        qianfan_ak: Optional[str] = None,\\n        qianfan_sk: Optional[str] = None,\\n        top_p: Optional[float] = None,\\n        temperature: Optional[float] = None,\\n        penalty_score: Optional[float] = None,\\n        endpoint: Optional[str] = None,\\n    ) -> BaseLLM:\\n        try:\\n            output = QianfanLLMEndpoint(  # type: ignore\\n                model=model,\\n                qianfan_ak=qianfan_ak,\\n                qianfan_sk=qianfan_sk,\\n                top_p=top_p,\\n                temperature=temperature,\\n                penalty_score=penalty_score,\\n                endpoint=endpoint,\\n            )\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to Baidu Qianfan API.\\\") from e\\n        return output  # type: ignore\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"endpoint\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint\",\"display_name\":\"Endpoint\",\"advanced\":false,\"dynamic\":false,\"info\":\"Endpoint of the Qianfan LLM, required if custom model used.\",\"type\":\"str\",\"list\":false},\"model\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"ERNIE-Bot-turbo\",\"password\":false,\"options\":[\"ERNIE-Bot\",\"ERNIE-Bot-turbo\",\"BLOOMZ-7B\",\"Llama-2-7b-chat\",\"Llama-2-13b-chat\",\"Llama-2-70b-chat\",\"Qianfan-BLOOMZ-7B-compressed\",\"Qianfan-Chinese-Llama-2-7B\",\"ChatGLM2-6B-32K\",\"AquilaChat-7B\"],\"name\":\"model\",\"display_name\":\"Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\",\"type\":\"str\",\"list\":true},\"penalty_score\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1.0,\"password\":false,\"name\":\"penalty_score\",\"display_name\":\"Penalty Score\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"type\":\"float\",\"list\":false},\"qianfan_ak\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"qianfan_ak\",\"display_name\":\"Qianfan Ak\",\"advanced\":false,\"dynamic\":false,\"info\":\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\",\"type\":\"str\",\"list\":false},\"qianfan_sk\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"qianfan_sk\",\"display_name\":\"Qianfan Sk\",\"advanced\":false,\"dynamic\":false,\"info\":\"which you could get from  https://cloud.baidu.com/product/wenxinworkshop\",\"type\":\"str\",\"list\":false},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.95,\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"type\":\"float\",\"list\":false},\"top_p\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.8,\"password\":false,\"name\":\"top_p\",\"display_name\":\"Top p\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"type\":\"float\",\"list\":false}},\"description\":\"Baidu Qianfan hosted open source or customized models. Get more detail from https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\",\"base_classes\":[\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"QianfanLLMEndpoint\",\"custom_fields\":{\"endpoint\":null,\"model\":null,\"penalty_score\":null,\"qianfan_ak\":null,\"qianfan_sk\":null,\"temperature\":null,\"top_p\":null},\"output_types\":[\"BaiduQianfanLLMEndpoints\"],\"documentation\":\"\",\"beta\":true,\"error\":null}},\"memories\":{\"ConversationBufferMemory\":{\"template\":{\"chat_memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMessageHistory\",\"list\":false},\"ai_prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"AI\",\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"human_prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"Human\",\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"input_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\",\"type\":\"str\",\"list\":false},\"memory_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"output_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\",\"type\":\"str\",\"list\":false},\"return_messages\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ConversationBufferMemory\"},\"description\":\"Buffer for storing conversation memory.\",\"base_classes\":[\"BaseMemory\",\"BaseChatMemory\",\"ConversationBufferMemory\"],\"display_name\":\"ConversationBufferMemory\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/buffer\",\"beta\":false,\"error\":null},\"ConversationBufferWindowMemory\":{\"template\":{\"chat_memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMessageHistory\",\"list\":false},\"ai_prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"AI\",\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"human_prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"Human\",\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"input_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\",\"type\":\"str\",\"list\":false},\"k\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":10,\"password\":false,\"name\":\"k\",\"display_name\":\"Memory Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"memory_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"output_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\",\"type\":\"str\",\"list\":false},\"return_messages\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ConversationBufferWindowMemory\"},\"description\":\"Buffer for storing conversation memory inside a limited size window.\",\"base_classes\":[\"BaseMemory\",\"ConversationBufferWindowMemory\",\"BaseChatMemory\"],\"display_name\":\"ConversationBufferWindowMemory\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/buffer_window\",\"beta\":false,\"error\":null},\"ConversationEntityMemory\":{\"template\":{\"chat_memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMessageHistory\",\"list\":false},\"entity_extraction_prompt\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"entity_extraction_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false},\"entity_store\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"entity_store\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseEntityStore\",\"list\":false},\"entity_summarization_prompt\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"entity_summarization_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"ai_prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"AI\",\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chat_history_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"history\",\"password\":false,\"name\":\"chat_history_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"entity_cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"entity_cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"human_prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"Human\",\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"input_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\",\"type\":\"str\",\"list\":false},\"k\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":10,\"password\":false,\"name\":\"k\",\"display_name\":\"Memory Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"output_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\",\"type\":\"str\",\"list\":false},\"return_messages\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ConversationEntityMemory\"},\"description\":\"Entity extractor & summarizer memory.\",\"base_classes\":[\"BaseMemory\",\"ConversationEntityMemory\",\"BaseChatMemory\"],\"display_name\":\"ConversationEntityMemory\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/memory/integrations/entity_memory_with_sqlite\",\"beta\":false,\"error\":null},\"ConversationKGMemory\":{\"template\":{\"chat_memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMessageHistory\",\"list\":false},\"entity_extraction_prompt\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"entity_extraction_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false},\"kg\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"kg\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"NetworkxEntityGraph\",\"list\":false},\"knowledge_extraction_prompt\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"knowledge_extraction_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"summary_message_cls\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"summary_message_cls\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Type[langchain.schema.messages.BaseMessage]\",\"list\":false},\"ai_prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"AI\",\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"human_prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"Human\",\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"input_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\",\"type\":\"str\",\"list\":false},\"k\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":10,\"password\":false,\"name\":\"k\",\"display_name\":\"Memory Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"memory_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"output_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\",\"type\":\"str\",\"list\":false},\"return_messages\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ConversationKGMemory\"},\"description\":\"Knowledge graph conversation memory.\",\"base_classes\":[\"ConversationKGMemory\",\"BaseMemory\",\"BaseChatMemory\"],\"display_name\":\"ConversationKGMemory\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/kg\",\"beta\":false,\"error\":null},\"ConversationSummaryMemory\":{\"template\":{\"chat_memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMessageHistory\",\"list\":false},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"prompt\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false},\"summary_message_cls\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"summary_message_cls\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Type[langchain.schema.messages.BaseMessage]\",\"list\":false},\"ai_prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"AI\",\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"buffer\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"buffer\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"human_prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"Human\",\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"input_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\",\"type\":\"str\",\"list\":false},\"memory_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"output_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\",\"type\":\"str\",\"list\":false},\"return_messages\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ConversationSummaryMemory\"},\"description\":\"Conversation summarizer to chat memory.\",\"base_classes\":[\"SummarizerMixin\",\"ConversationSummaryMemory\",\"BaseChatMemory\",\"BaseMemory\"],\"display_name\":\"ConversationSummaryMemory\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/summary\",\"beta\":false,\"error\":null},\"MongoDBChatMessageHistory\":{\"template\":{\"collection_name\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"message_store\",\"password\":false,\"name\":\"collection_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"connection_string\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"connection_string\",\"advanced\":false,\"dynamic\":false,\"info\":\"MongoDB connection string (e.g mongodb://mongo_user:password123@mongo:27017)\",\"type\":\"str\",\"list\":false},\"database_name\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"password\":false,\"name\":\"database_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"session_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"session_id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"MongoDBChatMessageHistory\"},\"description\":\"Memory store with MongoDB\",\"base_classes\":[\"MongoDBChatMessageHistory\",\"BaseChatMessageHistory\"],\"display_name\":\"MongoDBChatMessageHistory\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/memory/integrations/mongodb_chat_message_history\",\"beta\":false,\"error\":null},\"MotorheadMemory\":{\"template\":{\"chat_memory\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMessageHistory\",\"list\":false},\"api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"client_id\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client_id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"context\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"context\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"input_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\",\"type\":\"str\",\"list\":false},\"memory_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"output_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\",\"type\":\"str\",\"list\":false},\"return_messages\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"session_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"session_id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"https://api.getmetal.io/v1/motorhead\",\"password\":false,\"name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"MotorheadMemory\"},\"description\":\"Chat message memory backed by Motorhead service.\",\"base_classes\":[\"BaseMemory\",\"BaseChatMemory\",\"MotorheadMemory\"],\"display_name\":\"MotorheadMemory\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/integrations/memory/motorhead_memory\",\"beta\":false,\"error\":null},\"PostgresChatMessageHistory\":{\"template\":{\"connection_string\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"postgresql://postgres:mypassword@localhost/chat_history\",\"password\":false,\"name\":\"connection_string\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"session_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"session_id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"table_name\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"message_store\",\"password\":false,\"name\":\"table_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"PostgresChatMessageHistory\"},\"description\":\"Memory store with Postgres\",\"base_classes\":[\"PostgresChatMessageHistory\",\"BaseChatMessageHistory\"],\"display_name\":\"PostgresChatMessageHistory\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/memory/integrations/postgres_chat_message_history\",\"beta\":false,\"error\":null},\"VectorStoreRetrieverMemory\":{\"template\":{\"retriever\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"VectorStoreRetriever\",\"list\":false},\"exclude_input_keys\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"exclude_input_keys\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"input_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\",\"type\":\"str\",\"list\":false},\"memory_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"return_docs\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"return_docs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"return_messages\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"VectorStoreRetrieverMemory\"},\"description\":\"VectorStoreRetriever-backed memory.\",\"base_classes\":[\"BaseMemory\",\"VectorStoreRetrieverMemory\"],\"display_name\":\"VectorStoreRetrieverMemory\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/vectorstore_retriever_memory\",\"beta\":false,\"error\":null}},\"tools\":{\"Calculator\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"_type\":\"Calculator\"},\"description\":\"Useful for when you need to answer questions about math.\",\"base_classes\":[\"Tool\",\"BaseTool\"],\"display_name\":\"Calculator\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"News API\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"news_api_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"news_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"News API\"},\"description\":\"Use this when you want to get information about the top headlines of current news stories. The input should be a question in natural language that this API can answer.\",\"base_classes\":[\"Tool\",\"BaseTool\"],\"display_name\":\"News API\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"TMDB API\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"tmdb_bearer_token\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"tmdb_bearer_token\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"TMDB API\"},\"description\":\"Useful for when you want to get information from The Movie Database. The input should be a question in natural language that this API can answer.\",\"base_classes\":[\"Tool\",\"BaseTool\"],\"display_name\":\"TMDB API\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"Podcast API\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"listen_api_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"listen_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"Podcast API\"},\"description\":\"Use the Listen Notes Podcast API to search all podcasts or episodes. The input should be a question in natural language that this API can answer.\",\"base_classes\":[\"Tool\",\"BaseTool\"],\"display_name\":\"Podcast API\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"Search\":{\"template\":{\"aiosession\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"aiosession\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"serpapi_api_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"serpapi_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"Search\"},\"description\":\"A search engine. Useful for when you need to answer questions about current events. Input should be a search query.\",\"base_classes\":[\"Tool\",\"BaseTool\"],\"display_name\":\"Search\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"Tool\":{\"template\":{\"func\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"func\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"function\",\"list\":false},\"description\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"description\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"name\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"return_direct\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"return_direct\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"Tool\"},\"description\":\"Converts a chain, agent or function into a tool.\",\"base_classes\":[\"Tool\",\"BaseTool\"],\"display_name\":\"Tool\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"PythonFunctionTool\":{\"template\":{\"code\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\\ndef python_function(text: str) -> str:\\n    \\\"\\\"\\\"This is a default python function that returns the input text\\\"\\\"\\\"\\n    return text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"code\",\"list\":false},\"description\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"description\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"name\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"return_direct\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"return_direct\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PythonFunctionTool\"},\"description\":\"Python function to be executed.\",\"base_classes\":[\"BaseTool\",\"Tool\"],\"display_name\":\"PythonFunctionTool\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"PythonFunction\":{\"template\":{\"code\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\\ndef python_function(text: str) -> str:\\n    \\\"\\\"\\\"This is a default python function that returns the input text\\\"\\\"\\\"\\n    return text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"code\",\"list\":false},\"_type\":\"PythonFunction\"},\"description\":\"Python function to be executed.\",\"base_classes\":[\"function\"],\"display_name\":\"PythonFunction\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"JsonSpec\":{\"template\":{\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"suffixes\":[\".json\",\".yaml\",\".yml\"],\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\"json\",\"yaml\",\"yml\"],\"file_path\":null},\"max_value_length\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"max_value_length\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"_type\":\"JsonSpec\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"JsonSpec\"],\"display_name\":\"JsonSpec\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"BingSearchRun\":{\"template\":{\"api_wrapper\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"api_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BingSearchAPIWrapper\",\"list\":false},\"args_schema\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Type[pydantic.main.BaseModel]\",\"list\":false},\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":false},\"handle_tool_error\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"BingSearchRun\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"BingSearchRun\",\"BaseTool\"],\"display_name\":\"BingSearchRun\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"GoogleSearchResults\":{\"template\":{\"api_wrapper\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"api_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"GoogleSearchAPIWrapper\",\"list\":false},\"args_schema\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Type[pydantic.main.BaseModel]\",\"list\":false},\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":false},\"handle_tool_error\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"num_results\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":4,\"password\":false,\"name\":\"num_results\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"GoogleSearchResults\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"GoogleSearchResults\",\"BaseTool\"],\"display_name\":\"GoogleSearchResults\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"GoogleSearchRun\":{\"template\":{\"api_wrapper\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"api_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"GoogleSearchAPIWrapper\",\"list\":false},\"args_schema\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Type[pydantic.main.BaseModel]\",\"list\":false},\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":false},\"handle_tool_error\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"GoogleSearchRun\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"GoogleSearchRun\",\"BaseTool\"],\"display_name\":\"GoogleSearchRun\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"GoogleSerperRun\":{\"template\":{\"api_wrapper\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"api_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"GoogleSerperAPIWrapper\",\"list\":false},\"args_schema\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Type[pydantic.main.BaseModel]\",\"list\":false},\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":false},\"handle_tool_error\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"GoogleSerperRun\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"GoogleSerperRun\",\"BaseTool\"],\"display_name\":\"GoogleSerperRun\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"InfoSQLDatabaseTool\":{\"template\":{\"args_schema\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Type[pydantic.main.BaseModel]\",\"list\":false},\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":false},\"db\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"db\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"SQLDatabase\",\"list\":false},\"handle_tool_error\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"InfoSQLDatabaseTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"BaseSQLDatabaseTool\",\"InfoSQLDatabaseTool\",\"BaseTool\"],\"display_name\":\"InfoSQLDatabaseTool\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"JsonGetValueTool\":{\"template\":{\"args_schema\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Type[pydantic.main.BaseModel]\",\"list\":false},\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":false},\"spec\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"spec\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"JsonSpec\",\"list\":false},\"handle_tool_error\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"JsonGetValueTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"JsonGetValueTool\",\"BaseTool\"],\"display_name\":\"JsonGetValueTool\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"JsonListKeysTool\":{\"template\":{\"args_schema\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Type[pydantic.main.BaseModel]\",\"list\":false},\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":false},\"spec\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"spec\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"JsonSpec\",\"list\":false},\"handle_tool_error\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"JsonListKeysTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"JsonListKeysTool\",\"BaseTool\"],\"display_name\":\"JsonListKeysTool\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"ListSQLDatabaseTool\":{\"template\":{\"args_schema\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Type[pydantic.main.BaseModel]\",\"list\":false},\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":false},\"db\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"db\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"SQLDatabase\",\"list\":false},\"handle_tool_error\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"ListSQLDatabaseTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"BaseSQLDatabaseTool\",\"BaseTool\",\"ListSQLDatabaseTool\"],\"display_name\":\"ListSQLDatabaseTool\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"PythonAstREPLTool\":{\"template\":{\"args_schema\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Type[pydantic.main.BaseModel]\",\"list\":false},\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":false},\"globals\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"globals\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"handle_tool_error\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"locals\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"locals\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"sanitize_input\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":true,\"password\":false,\"name\":\"sanitize_input\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"PythonAstREPLTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"PythonAstREPLTool\",\"BaseTool\"],\"display_name\":\"PythonAstREPLTool\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"PythonREPLTool\":{\"template\":{\"args_schema\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Type[pydantic.main.BaseModel]\",\"list\":false},\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":false},\"python_repl\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"python_repl\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"PythonREPL\",\"list\":false},\"handle_tool_error\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"sanitize_input\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":true,\"password\":false,\"name\":\"sanitize_input\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"PythonREPLTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"PythonREPLTool\",\"BaseTool\"],\"display_name\":\"PythonREPLTool\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"QuerySQLDataBaseTool\":{\"template\":{\"args_schema\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Type[pydantic.main.BaseModel]\",\"list\":false},\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":false},\"db\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"db\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"SQLDatabase\",\"list\":false},\"handle_tool_error\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"QuerySQLDataBaseTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"BaseSQLDatabaseTool\",\"QuerySQLDataBaseTool\",\"BaseTool\"],\"display_name\":\"QuerySQLDataBaseTool\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"RequestsDeleteTool\":{\"template\":{\"args_schema\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Type[pydantic.main.BaseModel]\",\"list\":false},\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":false},\"requests_wrapper\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"requests_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"TextRequestsWrapper\",\"list\":false},\"handle_tool_error\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"RequestsDeleteTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"RequestsDeleteTool\",\"BaseRequestsTool\",\"BaseTool\"],\"display_name\":\"RequestsDeleteTool\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"RequestsGetTool\":{\"template\":{\"args_schema\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Type[pydantic.main.BaseModel]\",\"list\":false},\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":false},\"requests_wrapper\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"requests_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"TextRequestsWrapper\",\"list\":false},\"handle_tool_error\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"RequestsGetTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"RequestsGetTool\",\"BaseRequestsTool\",\"BaseTool\"],\"display_name\":\"RequestsGetTool\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"RequestsPatchTool\":{\"template\":{\"args_schema\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Type[pydantic.main.BaseModel]\",\"list\":false},\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":false},\"requests_wrapper\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"requests_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"TextRequestsWrapper\",\"list\":false},\"handle_tool_error\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"RequestsPatchTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"BaseRequestsTool\",\"BaseTool\",\"RequestsPatchTool\"],\"display_name\":\"RequestsPatchTool\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"RequestsPostTool\":{\"template\":{\"args_schema\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Type[pydantic.main.BaseModel]\",\"list\":false},\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":false},\"requests_wrapper\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"requests_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"TextRequestsWrapper\",\"list\":false},\"handle_tool_error\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"RequestsPostTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"RequestsPostTool\",\"BaseRequestsTool\",\"BaseTool\"],\"display_name\":\"RequestsPostTool\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"RequestsPutTool\":{\"template\":{\"args_schema\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Type[pydantic.main.BaseModel]\",\"list\":false},\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":false},\"requests_wrapper\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"requests_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"TextRequestsWrapper\",\"list\":false},\"handle_tool_error\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"RequestsPutTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"BaseRequestsTool\",\"BaseTool\",\"RequestsPutTool\"],\"display_name\":\"RequestsPutTool\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"WikipediaQueryRun\":{\"template\":{\"api_wrapper\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"api_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"WikipediaAPIWrapper\",\"list\":false},\"args_schema\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Type[pydantic.main.BaseModel]\",\"list\":false},\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":false},\"handle_tool_error\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"WikipediaQueryRun\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"WikipediaQueryRun\",\"BaseTool\"],\"display_name\":\"WikipediaQueryRun\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"WolframAlphaQueryRun\":{\"template\":{\"api_wrapper\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"api_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"WolframAlphaAPIWrapper\",\"list\":false},\"args_schema\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Type[pydantic.main.BaseModel]\",\"list\":false},\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":false},\"handle_tool_error\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"WolframAlphaQueryRun\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"WolframAlphaQueryRun\",\"BaseTool\"],\"display_name\":\"WolframAlphaQueryRun\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null}},\"toolkits\":{\"JsonToolkit\":{\"template\":{\"spec\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"spec\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"JsonSpec\",\"list\":false},\"_type\":\"JsonToolkit\"},\"description\":\"Toolkit for interacting with a JSON spec.\",\"base_classes\":[\"BaseToolkit\",\"JsonToolkit\",\"Tool\"],\"display_name\":\"JsonToolkit\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"OpenAPIToolkit\":{\"template\":{\"json_agent\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"json_agent\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"AgentExecutor\",\"list\":false},\"requests_wrapper\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"requests_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"TextRequestsWrapper\",\"list\":false},\"_type\":\"OpenAPIToolkit\"},\"description\":\"Toolkit for interacting with an OpenAPI API.\",\"base_classes\":[\"BaseToolkit\",\"OpenAPIToolkit\",\"Tool\"],\"display_name\":\"OpenAPIToolkit\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"VectorStoreInfo\":{\"template\":{\"vectorstore\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"vectorstore\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"VectorStore\",\"list\":false},\"description\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"description\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"name\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"VectorStoreInfo\"},\"description\":\"Information about a VectorStore.\",\"base_classes\":[\"VectorStoreInfo\"],\"display_name\":\"VectorStoreInfo\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"VectorStoreRouterToolkit\":{\"template\":{\"llm\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"vectorstores\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"vectorstores\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"VectorStoreInfo\",\"list\":true},\"_type\":\"VectorStoreRouterToolkit\"},\"description\":\"Toolkit for routing between Vector Stores.\",\"base_classes\":[\"BaseToolkit\",\"VectorStoreRouterToolkit\",\"Tool\"],\"display_name\":\"VectorStoreRouterToolkit\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"VectorStoreToolkit\":{\"template\":{\"llm\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"vectorstore_info\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"vectorstore_info\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"VectorStoreInfo\",\"list\":false},\"_type\":\"VectorStoreToolkit\"},\"description\":\"Toolkit for interacting with a Vector Store.\",\"base_classes\":[\"BaseToolkit\",\"VectorStoreToolkit\",\"Tool\"],\"display_name\":\"VectorStoreToolkit\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"Metaphor\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from typing import List, Union\\nfrom langflow import CustomComponent\\n\\nfrom metaphor_python import Metaphor  # type: ignore\\nfrom langchain.tools import Tool\\nfrom langchain.agents import tool\\nfrom langchain.agents.agent_toolkits.base import BaseToolkit\\n\\n\\nclass MetaphorToolkit(CustomComponent):\\n    display_name: str = \\\"Metaphor\\\"\\n    description: str = \\\"Metaphor Toolkit\\\"\\n    documentation = (\\n        \\\"https://python.langchain.com/docs/integrations/tools/metaphor_search\\\"\\n    )\\n    beta = True\\n    # api key should be password = True\\n    field_config = {\\n        \\\"metaphor_api_key\\\": {\\\"display_name\\\": \\\"Metaphor API Key\\\", \\\"password\\\": True},\\n        \\\"code\\\": {\\\"advanced\\\": True},\\n    }\\n\\n    def build(\\n        self,\\n        metaphor_api_key: str,\\n        use_autoprompt: bool = True,\\n        search_num_results: int = 5,\\n        similar_num_results: int = 5,\\n    ) -> Union[Tool, BaseToolkit]:\\n        # If documents, then we need to create a Vectara instance using .from_documents\\n        client = Metaphor(api_key=metaphor_api_key)\\n\\n        @tool\\n        def search(query: str):\\n            \\\"\\\"\\\"Call search engine with a query.\\\"\\\"\\\"\\n            return client.search(\\n                query, use_autoprompt=use_autoprompt, num_results=search_num_results\\n            )\\n\\n        @tool\\n        def get_contents(ids: List[str]):\\n            \\\"\\\"\\\"Get contents of a webpage.\\n\\n            The ids passed in should be a list of ids as fetched from `search`.\\n            \\\"\\\"\\\"\\n            return client.get_contents(ids)\\n\\n        @tool\\n        def find_similar(url: str):\\n            \\\"\\\"\\\"Get search results similar to a given URL.\\n\\n            The url passed in should be a URL returned from `search`\\n            \\\"\\\"\\\"\\n            return client.find_similar(url, num_results=similar_num_results)\\n\\n        return [search, get_contents, find_similar]  # type: ignore\\n\",\"password\":false,\"name\":\"code\",\"advanced\":true,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"metaphor_api_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"metaphor_api_key\",\"display_name\":\"Metaphor API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"search_num_results\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"similar_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"similar_num_results\",\"display_name\":\"similar_num_results\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"use_autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Metaphor Toolkit\",\"base_classes\":[\"Tool\",\"BaseTool\"],\"display_name\":\"Metaphor\",\"custom_fields\":{\"metaphor_api_key\":null,\"search_num_results\":null,\"similar_num_results\":null,\"use_autoprompt\":null},\"output_types\":[\"Metaphor\"],\"documentation\":\"https://python.langchain.com/docs/integrations/tools/metaphor_search\",\"beta\":true,\"error\":null}},\"wrappers\":{\"TextRequestsWrapper\":{\"template\":{\"aiosession\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"aiosession\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"ClientSession\",\"list\":false},\"auth\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"auth\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"headers\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"password\":false,\"name\":\"headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"TextRequestsWrapper\"},\"description\":\"Lightweight wrapper around requests library.\",\"base_classes\":[\"TextRequestsWrapper\"],\"display_name\":\"TextRequestsWrapper\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"SQLDatabase\":{\"template\":{\"database_uri\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"database_uri\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"engine_args\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"engine_args\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"SQLDatabase\"},\"description\":\"Construct a SQLAlchemy engine from URI.\",\"base_classes\":[\"SQLDatabase\",\"function\"],\"display_name\":\"SQLDatabase\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null}},\"embeddings\":{\"OpenAIEmbeddings\":{\"template\":{\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Literal'all'\",\"list\":true},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Literal'all'\",\"list\":true},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1000,\"password\":false,\"name\":\"chunk_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"deployment\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"embedding_ctx_length\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":8191,\"password\":false,\"name\":\"embedding_ctx_length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"password\":false,\"name\":\"headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_type\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_version\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"show_progress_bar\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"show_progress_bar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"skip_empty\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"skip_empty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"OpenAIEmbeddings\"},\"description\":\"OpenAI embedding models.\",\"base_classes\":[\"OpenAIEmbeddings\",\"Embeddings\"],\"display_name\":\"OpenAIEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai\",\"beta\":false,\"error\":null},\"CohereEmbeddings\":{\"template\":{\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cohere_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"cohere_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"embed-english-v2.0\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"truncate\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"truncate\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"CohereEmbeddings\"},\"description\":\"Cohere embedding models.\",\"base_classes\":[\"CohereEmbeddings\",\"Embeddings\"],\"display_name\":\"CohereEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/cohere\",\"beta\":false,\"error\":null},\"HuggingFaceEmbeddings\":{\"template\":{\"cache_folder\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"cache_folder\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"encode_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"encode_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"sentence-transformers/all-mpnet-base-v2\",\"password\":false,\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"multi_process\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"multi_process\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"HuggingFaceEmbeddings\"},\"description\":\"HuggingFace sentence_transformers embedding models.\",\"base_classes\":[\"HuggingFaceEmbeddings\",\"Embeddings\"],\"display_name\":\"HuggingFaceEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/sentence_transformers\",\"beta\":false,\"error\":null},\"VertexAIEmbeddings\":{\"template\":{\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"ForwardRef(\\\"'_LanguageModel'\\\")\",\"list\":false},\"credentials\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"suffixes\":[\".json\"],\"password\":false,\"name\":\"credentials\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\"json\"],\"file_path\":null},\"location\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"us-central1\",\"password\":false,\"name\":\"location\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"max_output_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":128,\"password\":true,\"name\":\"max_output_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"textembedding-gecko\",\"password\":false,\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"project\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"project\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_parallelism\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"request_parallelism\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"stop\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"stop\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.0,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"top_k\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":40,\"password\":false,\"name\":\"top_k\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"top_p\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.95,\"password\":false,\"name\":\"top_p\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"_type\":\"VertexAIEmbeddings\"},\"description\":\"Google Cloud VertexAI embedding models.\",\"base_classes\":[\"_VertexAICommon\",\"VertexAIEmbeddings\",\"Embeddings\",\"_VertexAIBase\"],\"display_name\":\"VertexAIEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/google_vertex_ai_palm\",\"beta\":false,\"error\":null}},\"vectorstores\":{\"Chroma\":{\"template\":{\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"chromadb.Client\",\"list\":false},\"client_settings\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client_settings\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"chromadb.config.Setting\",\"list\":true},\"documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":true},\"embedding\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Embeddings\",\"list\":false},\"chroma_server_cors_allow_origins\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_cors_allow_origins\",\"display_name\":\"Chroma Server CORS Allow Origins\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"chroma_server_grpc_port\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_grpc_port\",\"display_name\":\"Chroma Server GRPC Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_host\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_host\",\"display_name\":\"Chroma Server Host\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_http_port\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_http_port\",\"display_name\":\"Chroma Server HTTP Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_ssl_enabled\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"chroma_server_ssl_enabled\",\"display_name\":\"Chroma Server SSL Enabled\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"collection_metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"collection_metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"collection_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"langchain\",\"password\":false,\"name\":\"collection_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"ids\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"ids\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"metadatas\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":true},\"persist\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"persist\",\"display_name\":\"Persist\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"persist_directory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"persist_directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"search_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"{}\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"NestedDict\",\"list\":false},\"_type\":\"Chroma\"},\"description\":\"Create a Chroma vectorstore from a raw documents.\",\"base_classes\":[\"VectorStore\",\"Chroma\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"Chroma\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/chroma\",\"beta\":false,\"error\":null},\"FAISS\":{\"template\":{\"documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":true},\"embedding\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Embeddings\",\"list\":false},\"folder_path\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"folder_path\",\"display_name\":\"Local Path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"ids\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"ids\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"index_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"index_name\",\"display_name\":\"Index Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"metadatas\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":true},\"search_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"{}\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"NestedDict\",\"list\":false},\"_type\":\"FAISS\"},\"description\":\"Construct FAISS wrapper from raw documents.\",\"base_classes\":[\"FAISS\",\"VectorStore\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"FAISS\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/faiss\",\"beta\":false,\"error\":null},\"MongoDBAtlasVectorSearch\":{\"template\":{\"collection\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"collection\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Collection[MongoDBDocumentType]\",\"list\":false},\"documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":true},\"embedding\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Embeddings\",\"list\":false},\"collection_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"collection_name\",\"display_name\":\"Collection Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"db_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"db_name\",\"display_name\":\"Database Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"index_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"index_name\",\"display_name\":\"Index Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"metadatas\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":true},\"mongodb_atlas_cluster_uri\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"mongodb_atlas_cluster_uri\",\"display_name\":\"MongoDB Atlas Cluster URI\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"search_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"{}\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"NestedDict\",\"list\":false},\"_type\":\"MongoDBAtlasVectorSearch\"},\"description\":\"Construct a `MongoDB Atlas Vector Search` vector store from raw documents.\",\"base_classes\":[\"MongoDBAtlasVectorSearch\",\"VectorStore\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"MongoDB Atlas\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/mongodb_atlas\",\"beta\":false,\"error\":null},\"Pinecone\":{\"template\":{\"documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":true},\"embedding\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1000,\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Embeddings\",\"list\":false},\"batch_size\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":32,\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"ids\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"ids\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"index_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"index_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"metadatas\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":true},\"namespace\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"namespace\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"pinecone_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"pinecone_api_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"pinecone_env\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"pinecone_env\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"pool_threads\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":4,\"password\":false,\"name\":\"pool_threads\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"{}\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"NestedDict\",\"list\":false},\"text_key\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"text\",\"password\":true,\"name\":\"text_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"upsert_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"upsert_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"Pinecone\"},\"description\":\"Construct Pinecone wrapper from raw documents.\",\"base_classes\":[\"Pinecone\",\"VectorStore\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"Pinecone\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/pinecone\",\"beta\":false,\"error\":null},\"Qdrant\":{\"template\":{\"documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":true},\"embedding\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Embeddings\",\"list\":false},\"hnsw_config\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"hnsw_config\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"common_types.HnswConfigDiff\",\"list\":false},\"init_from\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"init_from\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"common_types.InitFrom\",\"list\":false},\"optimizers_config\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"optimizers_config\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"common_types.OptimizersConfigDiff\",\"list\":false},\"quantization_config\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"quantization_config\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"common_types.QuantizationConfig\",\"list\":false},\"wal_config\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"wal_config\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"common_types.WalConfigDiff\",\"list\":false},\"api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"api_key\",\"display_name\":\"API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"batch_size\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":64,\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"collection_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"collection_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"content_payload_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"page_content\",\"password\":false,\"name\":\"content_payload_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"distance_func\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"Cosine\",\"password\":false,\"name\":\"distance_func\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"force_recreate\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"force_recreate\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"grpc_port\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":6334,\"password\":false,\"name\":\"grpc_port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"host\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"host\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"https\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"https\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"ids\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"ids\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"location\":{\"required\":false,\"placeholder\":\":memory:\",\"show\":true,\"multiline\":false,\"value\":\":memory:\",\"password\":false,\"name\":\"location\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"metadata_payload_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"metadata\",\"password\":false,\"name\":\"metadata_payload_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"metadatas\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":true},\"on_disk\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"on_disk\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"on_disk_payload\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"on_disk_payload\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"path\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"path\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"port\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":6333,\"password\":false,\"name\":\"port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"prefer_grpc\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"prefer_grpc\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"prefix\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"replication_factor\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"replication_factor\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"{}\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"NestedDict\",\"list\":false},\"shard_number\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"shard_number\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"vector_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"vector_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"write_consistency_factor\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"write_consistency_factor\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"_type\":\"Qdrant\"},\"description\":\"Construct Qdrant wrapper from a list of texts.\",\"base_classes\":[\"VectorStore\",\"Qdrant\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"Qdrant\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/qdrant\",\"beta\":false,\"error\":null},\"SupabaseVectorStore\":{\"template\":{\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"supabase.client.Client\",\"list\":false},\"documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":true},\"embedding\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Embeddings\",\"list\":false},\"ids\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"ids\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"metadatas\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":true},\"query_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"query_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"search_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"{}\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"NestedDict\",\"list\":false},\"supabase_service_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"supabase_service_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"supabase_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"supabase_url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"table_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"table_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"SupabaseVectorStore\"},\"description\":\"Return VectorStore initialized from texts and embeddings.\",\"base_classes\":[\"SupabaseVectorStore\",\"VectorStore\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"Supabase\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/supabase\",\"beta\":false,\"error\":null},\"Weaviate\":{\"template\":{\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"weaviate.Client\",\"list\":false},\"documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":true},\"embedding\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Embeddings\",\"list\":false},\"relevance_score_fn\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":{},\"password\":false,\"name\":\"relevance_score_fn\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Callable[[float], float]\",\"list\":false},\"batch_size\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"by_text\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"by_text\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"{}\",\"password\":false,\"name\":\"client_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"code\",\"list\":false},\"index_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"index_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"metadatas\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":true},\"search_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"{}\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"NestedDict\",\"list\":false},\"text_key\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"text\",\"password\":true,\"name\":\"text_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"weaviate_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"weaviate_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"weaviate_url\":{\"required\":true,\"placeholder\":\"http://localhost:8080\",\"show\":true,\"multiline\":false,\"value\":\"http://localhost:8080\",\"password\":false,\"name\":\"weaviate_url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"Weaviate\"},\"description\":\"Construct Weaviate wrapper from raw documents.\",\"base_classes\":[\"Weaviate\",\"VectorStore\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"Weaviate\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/weaviate\",\"beta\":false,\"error\":null},\"Vectara\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional, Union\\nfrom langflow import CustomComponent\\n\\nfrom langchain.vectorstores import Vectara\\nfrom langchain.schema import Document\\nfrom langchain.vectorstores.base import VectorStore\\nfrom langchain.schema import BaseRetriever\\n\\n\\nclass VectaraComponent(CustomComponent):\\n    display_name: str = \\\"Vectara\\\"\\n    description: str = \\\"Implementation of Vector Store using Vectara\\\"\\n    documentation = (\\n        \\\"https://python.langchain.com/docs/integrations/vectorstores/vectara\\\"\\n    )\\n    beta = True\\n    # api key should be password = True\\n    field_config = {\\n        \\\"vectara_customer_id\\\": {\\\"display_name\\\": \\\"Vectara Customer ID\\\"},\\n        \\\"vectara_corpus_id\\\": {\\\"display_name\\\": \\\"Vectara Corpus ID\\\"},\\n        \\\"vectara_api_key\\\": {\\\"display_name\\\": \\\"Vectara API Key\\\", \\\"password\\\": True},\\n        \\\"code\\\": {\\\"show\\\": False},\\n        \\\"documents\\\": {\\\"display_name\\\": \\\"Documents\\\"},\\n    }\\n\\n    def build(\\n        self,\\n        vectara_customer_id: str,\\n        vectara_corpus_id: str,\\n        vectara_api_key: str,\\n        documents: Optional[Document] = None,\\n    ) -> Union[VectorStore, BaseRetriever]:\\n        # If documents, then we need to create a Vectara instance using .from_documents\\n        if documents is not None:\\n            return Vectara.from_documents(\\n                documents=documents,  # type: ignore\\n                vectara_customer_id=vectara_customer_id,\\n                vectara_corpus_id=vectara_corpus_id,\\n                vectara_api_key=vectara_api_key,\\n                source=\\\"langflow\\\",\\n            )\\n\\n        return Vectara(\\n            vectara_customer_id=vectara_customer_id,\\n            vectara_corpus_id=vectara_corpus_id,\\n            vectara_api_key=vectara_api_key,\\n            source=\\\"langflow\\\",\\n        )\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":false},\"vectara_api_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"vectara_api_key\",\"display_name\":\"Vectara API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"vectara_corpus_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"vectara_corpus_id\",\"display_name\":\"Vectara Corpus ID\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"vectara_customer_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"vectara_customer_id\",\"display_name\":\"Vectara Customer ID\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Implementation of Vector Store using Vectara\",\"base_classes\":[\"VectorStore\",\"BaseRetriever\"],\"display_name\":\"Vectara\",\"custom_fields\":{\"documents\":null,\"vectara_api_key\":null,\"vectara_corpus_id\":null,\"vectara_customer_id\":null},\"output_types\":[\"Vectara\"],\"documentation\":\"https://python.langchain.com/docs/integrations/vectorstores/vectara\",\"beta\":true,\"error\":null},\"Chroma (1)\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional, Union\\nfrom langflow import CustomComponent\\n\\nfrom langchain.vectorstores import Chroma\\nfrom langchain.schema import Document\\nfrom langchain.vectorstores.base import VectorStore\\nfrom langchain.schema import BaseRetriever\\nfrom langchain.embeddings.base import Embeddings\\nimport chromadb  # type: ignore\\n\\n\\nclass ChromaComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing a Vector Store using Chroma.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Chroma (Custom Component)\\\"\\n    description: str = \\\"Implementation of Vector Store using Chroma\\\"\\n    documentation = \\\"https://python.langchain.com/docs/integrations/vectorstores/chroma\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        \\\"\\\"\\\"\\n        Builds the configuration for the component.\\n\\n        Returns:\\n        - dict: A dictionary containing the configuration options for the component.\\n        \\\"\\\"\\\"\\n        return {\\n            \\\"collection_name\\\": {\\\"display_name\\\": \\\"Collection Name\\\", \\\"value\\\": \\\"langflow\\\"},\\n            \\\"persist\\\": {\\\"display_name\\\": \\\"Persist\\\"},\\n            \\\"persist_directory\\\": {\\\"display_name\\\": \\\"Persist Directory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False, \\\"display_name\\\": \\\"Code\\\"},\\n            \\\"documents\\\": {\\\"display_name\\\": \\\"Documents\\\", \\\"is_list\\\": True},\\n            \\\"embedding\\\": {\\\"display_name\\\": \\\"Embedding\\\"},\\n            \\\"chroma_server_cors_allow_origins\\\": {\\n                \\\"display_name\\\": \\\"Server CORS Allow Origins\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"chroma_server_host\\\": {\\\"display_name\\\": \\\"Server Host\\\", \\\"advanced\\\": True},\\n            \\\"chroma_server_port\\\": {\\\"display_name\\\": \\\"Server Port\\\", \\\"advanced\\\": True},\\n            \\\"chroma_server_grpc_port\\\": {\\n                \\\"display_name\\\": \\\"Server gRPC Port\\\",\\n                \\\"advanced\\\": True,\\n            },\\n            \\\"chroma_server_ssl_enabled\\\": {\\n                \\\"display_name\\\": \\\"Server SSL Enabled\\\",\\n                \\\"advanced\\\": True,\\n            },\\n        }\\n\\n    def build(\\n        self,\\n        collection_name: str,\\n        persist: bool,\\n        chroma_server_ssl_enabled: bool,\\n        persist_directory: Optional[str] = None,\\n        embedding: Optional[Embeddings] = None,\\n        documents: Optional[Document] = None,\\n        chroma_server_cors_allow_origins: Optional[str] = None,\\n        chroma_server_host: Optional[str] = None,\\n        chroma_server_port: Optional[int] = None,\\n        chroma_server_grpc_port: Optional[int] = None,\\n    ) -> Union[VectorStore, BaseRetriever]:\\n        \\\"\\\"\\\"\\n        Builds the Vector Store or BaseRetriever object.\\n\\n        Args:\\n        - collection_name (str): The name of the collection.\\n        - persist_directory (Optional[str]): The directory to persist the Vector Store to.\\n        - chroma_server_ssl_enabled (bool): Whether to enable SSL for the Chroma server.\\n        - persist (bool): Whether to persist the Vector Store or not.\\n        - embedding (Optional[Embeddings]): The embeddings to use for the Vector Store.\\n        - documents (Optional[Document]): The documents to use for the Vector Store.\\n        - chroma_server_cors_allow_origins (Optional[str]): The CORS allow origins for the Chroma server.\\n        - chroma_server_host (Optional[str]): The host for the Chroma server.\\n        - chroma_server_port (Optional[int]): The port for the Chroma server.\\n        - chroma_server_grpc_port (Optional[int]): The gRPC port for the Chroma server.\\n\\n        Returns:\\n        - Union[VectorStore, BaseRetriever]: The Vector Store or BaseRetriever object.\\n        \\\"\\\"\\\"\\n\\n        # Chroma settings\\n        chroma_settings = None\\n\\n        if chroma_server_host is not None:\\n            chroma_settings = chromadb.config.Settings(\\n                chroma_server_cors_allow_origins=chroma_server_cors_allow_origins\\n                or None,\\n                chroma_server_host=chroma_server_host,\\n                chroma_server_port=chroma_server_port or None,\\n                chroma_server_grpc_port=chroma_server_grpc_port or None,\\n                chroma_server_ssl_enabled=chroma_server_ssl_enabled,\\n            )\\n\\n        # If documents, then we need to create a Chroma instance using .from_documents\\n        if documents is not None and embedding is not None:\\n            return Chroma.from_documents(\\n                documents=documents,  # type: ignore\\n                persist_directory=persist_directory if persist else None,\\n                collection_name=collection_name,\\n                embedding=embedding,\\n                client_settings=chroma_settings,\\n            )\\n\\n        return Chroma(\\n            persist_directory=persist_directory, client_settings=chroma_settings\\n        )\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"chroma_server_cors_allow_origins\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_cors_allow_origins\",\"display_name\":\"Server CORS Allow Origins\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_grpc_port\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_grpc_port\",\"display_name\":\"Server gRPC Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"chroma_server_host\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_host\",\"display_name\":\"Server Host\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_port\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_port\",\"display_name\":\"Server Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"chroma_server_ssl_enabled\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"chroma_server_ssl_enabled\",\"display_name\":\"Server SSL Enabled\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"collection_name\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"langflow\",\"password\":false,\"name\":\"collection_name\",\"display_name\":\"Collection Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":true},\"embedding\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Embeddings\",\"list\":false},\"persist\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"persist\",\"display_name\":\"Persist\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"persist_directory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"persist_directory\",\"display_name\":\"Persist Directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Implementation of Vector Store using Chroma\",\"base_classes\":[\"VectorStore\",\"BaseRetriever\"],\"display_name\":\"Chroma (Custom Component)\",\"custom_fields\":{\"chroma_server_cors_allow_origins\":null,\"chroma_server_grpc_port\":null,\"chroma_server_host\":null,\"chroma_server_port\":null,\"chroma_server_ssl_enabled\":null,\"collection_name\":null,\"documents\":null,\"embedding\":null,\"persist\":null,\"persist_directory\":null},\"output_types\":[\"Chroma\"],\"documentation\":\"https://python.langchain.com/docs/integrations/vectorstores/chroma\",\"beta\":true,\"error\":null}},\"documentloaders\":{\"AZLyricsLoader\":{\"template\":{\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":{},\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"web_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"AZLyricsLoader\"},\"description\":\"Load `AZLyrics` webpages.\",\"base_classes\":[\"Document\"],\"display_name\":\"AZLyricsLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/azlyrics\",\"beta\":false,\"error\":null},\"AirbyteJSONLoader\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"suffixes\":[\".json\"],\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\"json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":{},\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null},\"BSHTMLLoader\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"suffixes\":[\".html\"],\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\"html\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":{},\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"BSHTMLLoader\"},\"description\":\"Load `HTML` files and parse them with `beautiful soup`.\",\"base_classes\":[\"Document\"],\"display_name\":\"BSHTMLLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/html\",\"beta\":false,\"error\":null},\"CSVLoader\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"suffixes\":[\".csv\"],\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\"csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":{},\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null},\"CoNLLULoader\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"suffixes\":[\".csv\"],\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\"csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":{},\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CoNLLULoader\"},\"description\":\"Load `CoNLL-U` files.\",\"base_classes\":[\"Document\"],\"display_name\":\"CoNLLULoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/conll-u\",\"beta\":false,\"error\":null},\"CollegeConfidentialLoader\":{\"template\":{\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":{},\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"web_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"CollegeConfidentialLoader\"},\"description\":\"Load `College Confidential` webpages.\",\"base_classes\":[\"Document\"],\"display_name\":\"CollegeConfidentialLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/college_confidential\",\"beta\":false,\"error\":null},\"DirectoryLoader\":{\"template\":{\"glob\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"**/*.txt\",\"password\":false,\"name\":\"glob\",\"display_name\":\"glob\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"load_hidden\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"False\",\"password\":false,\"name\":\"load_hidden\",\"display_name\":\"Load hidden files\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"max_concurrency\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":10,\"password\":false,\"name\":\"max_concurrency\",\"display_name\":\"Max concurrency\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":{},\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"display_name\":\"Local directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"recursive\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"True\",\"password\":false,\"name\":\"recursive\",\"display_name\":\"Recursive\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"silent_errors\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"False\",\"password\":false,\"name\":\"silent_errors\",\"display_name\":\"Silent errors\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"use_multithreading\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"True\",\"password\":false,\"name\":\"use_multithreading\",\"display_name\":\"Use multithreading\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"DirectoryLoader\"},\"description\":\"Load from a directory.\",\"base_classes\":[\"Document\"],\"display_name\":\"DirectoryLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/file_directory\",\"beta\":false,\"error\":null},\"EverNoteLoader\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"suffixes\":[\".xml\"],\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\"xml\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":{},\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"EverNoteLoader\"},\"description\":\"Load from `EverNote`.\",\"base_classes\":[\"Document\"],\"display_name\":\"EverNoteLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/evernote\",\"beta\":false,\"error\":null},\"FacebookChatLoader\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"suffixes\":[\".json\"],\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\"json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":{},\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"FacebookChatLoader\"},\"description\":\"Load `Facebook Chat` messages directory dump.\",\"base_classes\":[\"Document\"],\"display_name\":\"FacebookChatLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/facebook_chat\",\"beta\":false,\"error\":null},\"GitLoader\":{\"template\":{\"branch\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"branch\",\"display_name\":\"Branch\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"clone_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"clone_url\",\"display_name\":\"Clone URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"file_filter\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_filter\",\"display_name\":\"File extensions (comma-separated)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":{},\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"repo_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"repo_path\",\"display_name\":\"Path to repository\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"GitLoader\"},\"description\":\"Load `Git` repository files.\",\"base_classes\":[\"Document\"],\"display_name\":\"GitLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/git\",\"beta\":false,\"error\":null},\"GitbookLoader\":{\"template\":{\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":{},\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"web_page\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"web_page\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"GitbookLoader\"},\"description\":\"Load `GitBook` data.\",\"base_classes\":[\"Document\"],\"display_name\":\"GitbookLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/gitbook\",\"beta\":false,\"error\":null},\"GutenbergLoader\":{\"template\":{\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":{},\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"web_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"GutenbergLoader\"},\"description\":\"Load from `Gutenberg.org`.\",\"base_classes\":[\"Document\"],\"display_name\":\"GutenbergLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/gutenberg\",\"beta\":false,\"error\":null},\"HNLoader\":{\"template\":{\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":{},\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"web_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"HNLoader\"},\"description\":\"Load `Hacker News` data.\",\"base_classes\":[\"Document\"],\"display_name\":\"HNLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/hacker_news\",\"beta\":false,\"error\":null},\"IFixitLoader\":{\"template\":{\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":{},\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"web_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"IFixitLoader\"},\"description\":\"Load `iFixit` repair guides, device wikis and answers.\",\"base_classes\":[\"Document\"],\"display_name\":\"IFixitLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/ifixit\",\"beta\":false,\"error\":null},\"IMSDbLoader\":{\"template\":{\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":{},\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"web_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"IMSDbLoader\"},\"description\":\"Load `IMSDb` webpages.\",\"base_classes\":[\"Document\"],\"display_name\":\"IMSDbLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/imsdb\",\"beta\":false,\"error\":null},\"NotionDirectoryLoader\":{\"template\":{\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":{},\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"display_name\":\"Local directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"NotionDirectoryLoader\"},\"description\":\"Load `Notion directory` dump.\",\"base_classes\":[\"Document\"],\"display_name\":\"NotionDirectoryLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/notion\",\"beta\":false,\"error\":null},\"PyPDFLoader\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"suffixes\":[\".pdf\"],\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\"pdf\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":{},\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"PyPDFLoader\"},\"description\":\"Load PDF using pypdf into list of documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"PyPDFLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/pdf\",\"beta\":false,\"error\":null},\"PyPDFDirectoryLoader\":{\"template\":{\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":{},\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"display_name\":\"Local directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"PyPDFDirectoryLoader\"},\"description\":\"Load a directory with `PDF` files using `pypdf` and chunks at character level.\",\"base_classes\":[\"Document\"],\"display_name\":\"PyPDFDirectoryLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/pdf\",\"beta\":false,\"error\":null},\"ReadTheDocsLoader\":{\"template\":{\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":{},\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"display_name\":\"Local directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"ReadTheDocsLoader\"},\"description\":\"Load `ReadTheDocs` documentation directory.\",\"base_classes\":[\"Document\"],\"display_name\":\"ReadTheDocsLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/readthedocs_documentation\",\"beta\":false,\"error\":null},\"SRTLoader\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"suffixes\":[\".srt\"],\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\"srt\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":{},\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"SRTLoader\"},\"description\":\"Load `.srt` (subtitle) files.\",\"base_classes\":[\"Document\"],\"display_name\":\"SRTLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/subtitle\",\"beta\":false,\"error\":null},\"SlackDirectoryLoader\":{\"template\":{\"zip_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"suffixes\":[\".zip\"],\"password\":false,\"name\":\"zip_path\",\"display_name\":\"Path to zip file\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\"zip\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":{},\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"workspace_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"workspace_url\",\"display_name\":\"Workspace URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"SlackDirectoryLoader\"},\"description\":\"Load from a `Slack` directory dump.\",\"base_classes\":[\"Document\"],\"display_name\":\"SlackDirectoryLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/slack\",\"beta\":false,\"error\":null},\"TextLoader\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"suffixes\":[\".txt\"],\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\"txt\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":{},\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"TextLoader\"},\"description\":\"Load text file.\",\"base_classes\":[\"Document\"],\"display_name\":\"TextLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/\",\"beta\":false,\"error\":null},\"UnstructuredEmailLoader\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"suffixes\":[\".eml\"],\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\"eml\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":{},\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"UnstructuredEmailLoader\"},\"description\":\"Load email files using `Unstructured`.\",\"base_classes\":[\"Document\"],\"display_name\":\"UnstructuredEmailLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/email\",\"beta\":false,\"error\":null},\"UnstructuredHTMLLoader\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"suffixes\":[\".html\"],\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\"html\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":{},\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"UnstructuredHTMLLoader\"},\"description\":\"Load `HTML` files using `Unstructured`.\",\"base_classes\":[\"Document\"],\"display_name\":\"UnstructuredHTMLLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/html\",\"beta\":false,\"error\":null},\"UnstructuredMarkdownLoader\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"suffixes\":[\".md\"],\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\"md\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":{},\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"UnstructuredMarkdownLoader\"},\"description\":\"Load `Markdown` files using `Unstructured`.\",\"base_classes\":[\"Document\"],\"display_name\":\"UnstructuredMarkdownLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/markdown\",\"beta\":false,\"error\":null},\"UnstructuredPowerPointLoader\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"suffixes\":[\".pptx\",\".ppt\"],\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\"pptx\",\"ppt\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":{},\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"UnstructuredPowerPointLoader\"},\"description\":\"Load `Microsoft PowerPoint` files using `Unstructured`.\",\"base_classes\":[\"Document\"],\"display_name\":\"UnstructuredPowerPointLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/microsoft_powerpoint\",\"beta\":false,\"error\":null},\"UnstructuredWordDocumentLoader\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"suffixes\":[\".docx\",\".doc\"],\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\"docx\",\"doc\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":{},\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"UnstructuredWordDocumentLoader\"},\"description\":\"Load `Microsoft Word` file using `Unstructured`.\",\"base_classes\":[\"Document\"],\"display_name\":\"UnstructuredWordDocumentLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/microsoft_word\",\"beta\":false,\"error\":null},\"WebBaseLoader\":{\"template\":{\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":{},\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"web_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"WebBaseLoader\"},\"description\":\"Load HTML pages using `urllib` and parse them with `BeautifulSoup'.\",\"base_classes\":[\"Document\"],\"display_name\":\"WebBaseLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/web_base\",\"beta\":false,\"error\":null}},\"textsplitters\":{\"CharacterTextSplitter\":{\"template\":{\"documents\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":true},\"chunk_overlap\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":200,\"password\":false,\"name\":\"chunk_overlap\",\"display_name\":\"Chunk Overlap\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"chunk_size\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1000,\"password\":false,\"name\":\"chunk_size\",\"display_name\":\"Chunk Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"separator\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\\\\n\",\"password\":false,\"name\":\"separator\",\"display_name\":\"Separator\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"CharacterTextSplitter\"},\"description\":\"Splitting text that looks at characters.\",\"base_classes\":[\"Document\"],\"display_name\":\"CharacterTextSplitter\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/character_text_splitter\",\"beta\":false,\"error\":null},\"LanguageRecursiveTextSplitter\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.text_splitter import Language\\nfrom langchain.schema import Document\\n\\n\\nclass LanguageRecursiveTextSplitterComponent(CustomComponent):\\n    display_name: str = \\\"Language Recursive Text Splitter\\\"\\n    description: str = \\\"Split text into chunks of a specified length based on language.\\\"\\n    documentation: str = \\\"https://docs.langflow.org/components/text-splitters#languagerecursivetextsplitter\\\"\\n\\n    def build_config(self):\\n        options = [x.value for x in Language]\\n        return {\\n            \\\"documents\\\": {\\n                \\\"display_name\\\": \\\"Documents\\\",\\n                \\\"info\\\": \\\"The documents to split.\\\",\\n            },\\n            \\\"separator_type\\\": {\\n                \\\"display_name\\\": \\\"Separator Type\\\",\\n                \\\"info\\\": \\\"The type of separator to use.\\\",\\n                \\\"field_type\\\": \\\"str\\\",\\n                \\\"options\\\": options,\\n                \\\"value\\\": \\\"Python\\\",\\n            },\\n            \\\"separators\\\": {\\n                \\\"display_name\\\": \\\"Separators\\\",\\n                \\\"info\\\": \\\"The characters to split on.\\\",\\n                \\\"is_list\\\": True,\\n            },\\n            \\\"chunk_size\\\": {\\n                \\\"display_name\\\": \\\"Chunk Size\\\",\\n                \\\"info\\\": \\\"The maximum length of each chunk.\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 1000,\\n            },\\n            \\\"chunk_overlap\\\": {\\n                \\\"display_name\\\": \\\"Chunk Overlap\\\",\\n                \\\"info\\\": \\\"The amount of overlap between chunks.\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 200,\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        documents: list[Document],\\n        chunk_size: Optional[int] = 1000,\\n        chunk_overlap: Optional[int] = 200,\\n        separator_type: Optional[str] = \\\"Python\\\",\\n    ) -> list[Document]:\\n        \\\"\\\"\\\"\\n        Split text into chunks of a specified length.\\n\\n        Args:\\n            separators (list[str]): The characters to split on.\\n            chunk_size (int): The maximum length of each chunk.\\n            chunk_overlap (int): The amount of overlap between chunks.\\n            length_function (function): The function to use to calculate the length of the text.\\n\\n        Returns:\\n            list[str]: The chunks of text.\\n        \\\"\\\"\\\"\\n        from langchain.text_splitter import RecursiveCharacterTextSplitter\\n\\n        # Make sure chunk_size and chunk_overlap are ints\\n        if isinstance(chunk_size, str):\\n            chunk_size = int(chunk_size)\\n        if isinstance(chunk_overlap, str):\\n            chunk_overlap = int(chunk_overlap)\\n\\n        splitter = RecursiveCharacterTextSplitter.from_language(\\n            language=Language(separator_type),\\n            chunk_size=chunk_size,\\n            chunk_overlap=chunk_overlap,\\n        )\\n\\n        docs = splitter.split_documents(documents)\\n        return docs\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"chunk_overlap\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":200,\"password\":false,\"name\":\"chunk_overlap\",\"display_name\":\"Chunk Overlap\",\"advanced\":false,\"dynamic\":false,\"info\":\"The amount of overlap between chunks.\",\"type\":\"int\",\"list\":false},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1000,\"password\":false,\"name\":\"chunk_size\",\"display_name\":\"Chunk Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"The maximum length of each chunk.\",\"type\":\"int\",\"list\":false},\"documents\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"The documents to split.\",\"type\":\"Document\",\"list\":true},\"separator_type\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"Python\",\"password\":false,\"options\":[\"cpp\",\"go\",\"java\",\"kotlin\",\"js\",\"ts\",\"php\",\"proto\",\"python\",\"rst\",\"ruby\",\"rust\",\"scala\",\"swift\",\"markdown\",\"latex\",\"html\",\"sol\",\"csharp\"],\"name\":\"separator_type\",\"display_name\":\"Separator Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"The type of separator to use.\",\"type\":\"str\",\"list\":true}},\"description\":\"Split text into chunks of a specified length based on language.\",\"base_classes\":[\"Document\"],\"display_name\":\"Language Recursive Text Splitter\",\"custom_fields\":{\"chunk_overlap\":null,\"chunk_size\":null,\"documents\":null,\"separator_type\":null},\"output_types\":[\"LanguageRecursiveTextSplitter\"],\"documentation\":\"https://docs.langflow.org/components/text-splitters#languagerecursivetextsplitter\",\"beta\":true,\"error\":null},\"RecursiveCharacterTextSplitter\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.schema import Document\\nfrom langflow.utils.util import build_loader_repr_from_documents\\n\\n\\nclass RecursiveCharacterTextSplitterComponent(CustomComponent):\\n    display_name: str = \\\"Recursive Character Text Splitter\\\"\\n    description: str = \\\"Split text into chunks of a specified length.\\\"\\n    documentation: str = \\\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"documents\\\": {\\n                \\\"display_name\\\": \\\"Documents\\\",\\n                \\\"info\\\": \\\"The documents to split.\\\",\\n            },\\n            \\\"separators\\\": {\\n                \\\"display_name\\\": \\\"Separators\\\",\\n                \\\"info\\\": 'The characters to split on.\\\\nIf left empty defaults to [\\\"\\\\\\\\n\\\\\\\\n\\\", \\\"\\\\\\\\n\\\", \\\" \\\", \\\"\\\"].',\\n                \\\"is_list\\\": True,\\n            },\\n            \\\"chunk_size\\\": {\\n                \\\"display_name\\\": \\\"Chunk Size\\\",\\n                \\\"info\\\": \\\"The maximum length of each chunk.\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 1000,\\n            },\\n            \\\"chunk_overlap\\\": {\\n                \\\"display_name\\\": \\\"Chunk Overlap\\\",\\n                \\\"info\\\": \\\"The amount of overlap between chunks.\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 200,\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        documents: list[Document],\\n        separators: Optional[list[str]] = None,\\n        chunk_size: Optional[int] = 1000,\\n        chunk_overlap: Optional[int] = 200,\\n    ) -> list[Document]:\\n        \\\"\\\"\\\"\\n        Split text into chunks of a specified length.\\n\\n        Args:\\n            separators (list[str]): The characters to split on.\\n            chunk_size (int): The maximum length of each chunk.\\n            chunk_overlap (int): The amount of overlap between chunks.\\n            length_function (function): The function to use to calculate the length of the text.\\n\\n        Returns:\\n            list[str]: The chunks of text.\\n        \\\"\\\"\\\"\\n        from langchain.text_splitter import RecursiveCharacterTextSplitter\\n\\n        if separators == \\\"\\\":\\n            separators = None\\n        elif separators:\\n            # check if the separators list has escaped characters\\n            # if there are escaped characters, unescape them\\n            separators = [x.encode().decode(\\\"unicode-escape\\\") for x in separators]\\n\\n        # Make sure chunk_size and chunk_overlap are ints\\n        if isinstance(chunk_size, str):\\n            chunk_size = int(chunk_size)\\n        if isinstance(chunk_overlap, str):\\n            chunk_overlap = int(chunk_overlap)\\n        splitter = RecursiveCharacterTextSplitter(\\n            separators=separators,\\n            chunk_size=chunk_size,\\n            chunk_overlap=chunk_overlap,\\n        )\\n\\n        docs = splitter.split_documents(documents)\\n        self.repr_value = build_loader_repr_from_documents(docs)\\n        return docs\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"chunk_overlap\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":200,\"password\":false,\"name\":\"chunk_overlap\",\"display_name\":\"Chunk Overlap\",\"advanced\":false,\"dynamic\":false,\"info\":\"The amount of overlap between chunks.\",\"type\":\"int\",\"list\":false},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1000,\"password\":false,\"name\":\"chunk_size\",\"display_name\":\"Chunk Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"The maximum length of each chunk.\",\"type\":\"int\",\"list\":false},\"documents\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"The documents to split.\",\"type\":\"Document\",\"list\":true},\"separators\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"separators\",\"display_name\":\"Separators\",\"advanced\":false,\"dynamic\":false,\"info\":\"The characters to split on.\\nIf left empty defaults to [\\\"\\\\n\\\\n\\\", \\\"\\\\n\\\", \\\" \\\", \\\"\\\"].\",\"type\":\"str\",\"list\":true}},\"description\":\"Split text into chunks of a specified length.\",\"base_classes\":[\"Document\"],\"display_name\":\"Recursive Character Text Splitter\",\"custom_fields\":{\"chunk_overlap\":null,\"chunk_size\":null,\"documents\":null,\"separators\":null},\"output_types\":[\"RecursiveCharacterTextSplitter\"],\"documentation\":\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\",\"beta\":true,\"error\":null}},\"utilities\":{\"BingSearchAPIWrapper\":{\"template\":{\"bing_search_url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"bing_search_url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"bing_subscription_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"bing_subscription_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"k\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":10,\"password\":false,\"name\":\"k\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"_type\":\"BingSearchAPIWrapper\"},\"description\":\"Wrapper for Bing Search API.\",\"base_classes\":[\"BingSearchAPIWrapper\"],\"display_name\":\"BingSearchAPIWrapper\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"GoogleSearchAPIWrapper\":{\"template\":{\"google_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"google_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"google_cse_id\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"google_cse_id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"k\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":10,\"password\":false,\"name\":\"k\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_engine\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"search_engine\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"siterestrict\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"siterestrict\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"GoogleSearchAPIWrapper\"},\"description\":\"Wrapper for Google Search API.\",\"base_classes\":[\"GoogleSearchAPIWrapper\"],\"display_name\":\"GoogleSearchAPIWrapper\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"GoogleSerperAPIWrapper\":{\"template\":{\"aiosession\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"aiosession\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"ClientSession\",\"list\":false},\"gl\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"us\",\"password\":false,\"name\":\"gl\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"hl\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"en\",\"password\":false,\"name\":\"hl\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"k\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":10,\"password\":false,\"name\":\"k\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"result_key_for_type\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"{\\n  \\\"news\\\": \\\"news\\\",\\n  \\\"places\\\": \\\"places\\\",\\n  \\\"images\\\": \\\"images\\\",\\n  \\\"search\\\": \\\"organic\\\"\\n}\",\"password\":true,\"name\":\"result_key_for_type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"serper_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"serper_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"tbs\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tbs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"type\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"search\",\"password\":false,\"options\":[\"news\",\"search\",\"places\",\"images\"],\"name\":\"type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"_type\":\"GoogleSerperAPIWrapper\"},\"description\":\"Wrapper around the Serper.dev Google Search API.\",\"base_classes\":[\"GoogleSerperAPIWrapper\"],\"display_name\":\"GoogleSerperAPIWrapper\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"SearxSearchWrapper\":{\"template\":{\"aiosession\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"aiosession\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"categories\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"categories\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"engines\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"engines\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"headers\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"password\":false,\"name\":\"headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"k\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":10,\"password\":false,\"name\":\"k\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"params\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"params\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"query_suffix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"query_suffix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"searx_host\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"searx_host\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"unsecure\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"unsecure\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"SearxSearchWrapper\"},\"description\":\"Wrapper for Searx API.\",\"base_classes\":[\"SearxSearchWrapper\"],\"display_name\":\"SearxSearchWrapper\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"SerpAPIWrapper\":{\"template\":{\"aiosession\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"aiosession\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"ClientSession\",\"list\":false},\"params\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"{\\n  \\\"engine\\\": \\\"google\\\",\\n  \\\"google_domain\\\": \\\"google.com\\\",\\n  \\\"gl\\\": \\\"us\\\",\\n  \\\"hl\\\": \\\"en\\\"\\n}\",\"password\":false,\"name\":\"params\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"search_engine\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"search_engine\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"serpapi_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"serpapi_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"SerpAPIWrapper\"},\"description\":\"Wrapper around SerpAPI.\",\"base_classes\":[\"SerpAPIWrapper\"],\"display_name\":\"SerpAPIWrapper\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"WikipediaAPIWrapper\":{\"template\":{\"doc_content_chars_max\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":4000,\"password\":false,\"name\":\"doc_content_chars_max\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"lang\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"en\",\"password\":false,\"name\":\"lang\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"load_all_available_meta\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"load_all_available_meta\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"top_k_results\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":3,\"password\":false,\"name\":\"top_k_results\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"wiki_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"wiki_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"_type\":\"WikipediaAPIWrapper\"},\"description\":\"Wrapper around WikipediaAPI.\",\"base_classes\":[\"WikipediaAPIWrapper\"],\"display_name\":\"WikipediaAPIWrapper\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"WolframAlphaAPIWrapper\":{\"template\":{\"wolfram_alpha_appid\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"wolfram_alpha_appid\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"wolfram_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"wolfram_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"_type\":\"WolframAlphaAPIWrapper\"},\"description\":\"Wrapper for Wolfram Alpha.\",\"base_classes\":[\"WolframAlphaAPIWrapper\"],\"display_name\":\"WolframAlphaAPIWrapper\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"GetRequest\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langchain.schema import Document\\nfrom langflow.services.database.models.base import orjson_dumps\\nimport requests\\nfrom typing import Optional\\n\\n\\nclass GetRequest(CustomComponent):\\n    display_name: str = \\\"GET Request\\\"\\n    description: str = \\\"Make a GET request to the given URL.\\\"\\n    output_types: list[str] = [\\\"Document\\\"]\\n    documentation: str = \\\"https://docs.langflow.org/components/utilities#get-request\\\"\\n    beta = True\\n    field_config = {\\n        \\\"url\\\": {\\n            \\\"display_name\\\": \\\"URL\\\",\\n            \\\"info\\\": \\\"The URL to make the request to\\\",\\n            \\\"is_list\\\": True,\\n        },\\n        \\\"headers\\\": {\\n            \\\"display_name\\\": \\\"Headers\\\",\\n            \\\"info\\\": \\\"The headers to send with the request.\\\",\\n        },\\n        \\\"code\\\": {\\\"show\\\": False},\\n        \\\"timeout\\\": {\\n            \\\"display_name\\\": \\\"Timeout\\\",\\n            \\\"field_type\\\": \\\"int\\\",\\n            \\\"info\\\": \\\"The timeout to use for the request.\\\",\\n            \\\"value\\\": 5,\\n        },\\n    }\\n\\n    def get_document(\\n        self, session: requests.Session, url: str, headers: Optional[dict], timeout: int\\n    ) -> Document:\\n        try:\\n            response = session.get(url, headers=headers, timeout=int(timeout))\\n            try:\\n                response_json = response.json()\\n                result = orjson_dumps(response_json, indent_2=False)\\n            except Exception:\\n                result = response.text\\n            self.repr_value = result\\n            return Document(\\n                page_content=result,\\n                metadata={\\n                    \\\"source\\\": url,\\n                    \\\"headers\\\": headers,\\n                    \\\"status_code\\\": response.status_code,\\n                },\\n            )\\n        except requests.Timeout:\\n            return Document(\\n                page_content=\\\"Request Timed Out\\\",\\n                metadata={\\\"source\\\": url, \\\"headers\\\": headers, \\\"status_code\\\": 408},\\n            )\\n        except Exception as exc:\\n            return Document(\\n                page_content=str(exc),\\n                metadata={\\\"source\\\": url, \\\"headers\\\": headers, \\\"status_code\\\": 500},\\n            )\\n\\n    def build(\\n        self,\\n        url: str,\\n        headers: Optional[dict] = None,\\n        timeout: int = 5,\\n    ) -> list[Document]:\\n        if headers is None:\\n            headers = {}\\n        urls = url if isinstance(url, list) else [url]\\n        with requests.Session() as session:\\n            documents = [self.get_document(session, u, headers, timeout) for u in urls]\\n            self.repr_value = documents\\n        return documents\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"headers\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"headers\",\"display_name\":\"Headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"The headers to send with the request.\",\"type\":\"dict\",\"list\":false},\"timeout\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"timeout\",\"display_name\":\"Timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"The timeout to use for the request.\",\"type\":\"int\",\"list\":false},\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"The URL to make the request to\",\"type\":\"str\",\"list\":true}},\"description\":\"Make a GET request to the given URL.\",\"base_classes\":[\"Document\"],\"display_name\":\"GET Request\",\"custom_fields\":{\"headers\":null,\"timeout\":null,\"url\":null},\"output_types\":[\"GetRequest\"],\"documentation\":\"https://docs.langflow.org/components/utilities#get-request\",\"beta\":true,\"error\":null},\"PostRequest\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langchain.schema import Document\\nfrom langflow.services.database.models.base import orjson_dumps\\nimport requests\\nfrom typing import Optional\\n\\n\\nclass PostRequest(CustomComponent):\\n    display_name: str = \\\"POST Request\\\"\\n    description: str = \\\"Make a POST request to the given URL.\\\"\\n    output_types: list[str] = [\\\"Document\\\"]\\n    documentation: str = \\\"https://docs.langflow.org/components/utilities#post-request\\\"\\n    beta = True\\n    field_config = {\\n        \\\"url\\\": {\\\"display_name\\\": \\\"URL\\\", \\\"info\\\": \\\"The URL to make the request to.\\\"},\\n        \\\"headers\\\": {\\n            \\\"display_name\\\": \\\"Headers\\\",\\n            \\\"info\\\": \\\"The headers to send with the request.\\\",\\n        },\\n        \\\"code\\\": {\\\"show\\\": False},\\n        \\\"document\\\": {\\\"display_name\\\": \\\"Document\\\"},\\n    }\\n\\n    def post_document(\\n        self,\\n        session: requests.Session,\\n        document: Document,\\n        url: str,\\n        headers: Optional[dict] = None,\\n    ) -> Document:\\n        try:\\n            response = session.post(url, headers=headers, data=document.page_content)\\n            try:\\n                response_json = response.json()\\n                result = orjson_dumps(response_json, indent_2=False)\\n            except Exception:\\n                result = response.text\\n            self.repr_value = result\\n            return Document(\\n                page_content=result,\\n                metadata={\\n                    \\\"source\\\": url,\\n                    \\\"headers\\\": headers,\\n                    \\\"status_code\\\": response,\\n                },\\n            )\\n        except Exception as exc:\\n            return Document(\\n                page_content=str(exc),\\n                metadata={\\n                    \\\"source\\\": url,\\n                    \\\"headers\\\": headers,\\n                    \\\"status_code\\\": 500,\\n                },\\n            )\\n\\n    def build(\\n        self,\\n        document: Document,\\n        url: str,\\n        headers: Optional[dict] = None,\\n    ) -> list[Document]:\\n        if headers is None:\\n            headers = {}\\n\\n        if not isinstance(document, list) and isinstance(document, Document):\\n            documents: list[Document] = [document]\\n        elif isinstance(document, list) and all(\\n            isinstance(doc, Document) for doc in document\\n        ):\\n            documents = document\\n        else:\\n            raise ValueError(\\\"document must be a Document or a list of Documents\\\")\\n\\n        with requests.Session() as session:\\n            documents = [\\n                self.post_document(session, doc, url, headers) for doc in documents\\n            ]\\n            self.repr_value = documents\\n        return documents\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"document\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"document\",\"display_name\":\"Document\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":false},\"headers\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"headers\",\"display_name\":\"Headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"The headers to send with the request.\",\"type\":\"dict\",\"list\":false},\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"The URL to make the request to.\",\"type\":\"str\",\"list\":false}},\"description\":\"Make a POST request to the given URL.\",\"base_classes\":[\"Document\"],\"display_name\":\"POST Request\",\"custom_fields\":{\"document\":null,\"headers\":null,\"url\":null},\"output_types\":[\"PostRequest\"],\"documentation\":\"https://docs.langflow.org/components/utilities#post-request\",\"beta\":true,\"error\":null},\"UpdateRequest\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import List, Optional\\nimport requests\\nfrom langflow import CustomComponent\\nfrom langchain.schema import Document\\nfrom langflow.services.database.models.base import orjson_dumps\\n\\n\\nclass UpdateRequest(CustomComponent):\\n    display_name: str = \\\"Update Request\\\"\\n    description: str = \\\"Make a PATCH request to the given URL.\\\"\\n    output_types: list[str] = [\\\"Document\\\"]\\n    documentation: str = \\\"https://docs.langflow.org/components/utilities#update-request\\\"\\n    beta = True\\n    field_config = {\\n        \\\"url\\\": {\\\"display_name\\\": \\\"URL\\\", \\\"info\\\": \\\"The URL to make the request to.\\\"},\\n        \\\"headers\\\": {\\n            \\\"display_name\\\": \\\"Headers\\\",\\n            \\\"field_type\\\": \\\"NestedDict\\\",\\n            \\\"info\\\": \\\"The headers to send with the request.\\\",\\n        },\\n        \\\"code\\\": {\\\"show\\\": False},\\n        \\\"document\\\": {\\\"display_name\\\": \\\"Document\\\"},\\n        \\\"method\\\": {\\n            \\\"display_name\\\": \\\"Method\\\",\\n            \\\"field_type\\\": \\\"str\\\",\\n            \\\"info\\\": \\\"The HTTP method to use.\\\",\\n            \\\"options\\\": [\\\"PATCH\\\", \\\"PUT\\\"],\\n            \\\"value\\\": \\\"PATCH\\\",\\n        },\\n    }\\n\\n    def update_document(\\n        self,\\n        session: requests.Session,\\n        document: Document,\\n        url: str,\\n        headers: Optional[dict] = None,\\n        method: str = \\\"PATCH\\\",\\n    ) -> Document:\\n        try:\\n            if method == \\\"PATCH\\\":\\n                response = session.patch(\\n                    url, headers=headers, data=document.page_content\\n                )\\n            elif method == \\\"PUT\\\":\\n                response = session.put(url, headers=headers, data=document.page_content)\\n            else:\\n                raise ValueError(f\\\"Unsupported method: {method}\\\")\\n            try:\\n                response_json = response.json()\\n                result = orjson_dumps(response_json, indent_2=False)\\n            except Exception:\\n                result = response.text\\n            self.repr_value = result\\n            return Document(\\n                page_content=result,\\n                metadata={\\n                    \\\"source\\\": url,\\n                    \\\"headers\\\": headers,\\n                    \\\"status_code\\\": response.status_code,\\n                },\\n            )\\n        except Exception as exc:\\n            return Document(\\n                page_content=str(exc),\\n                metadata={\\\"source\\\": url, \\\"headers\\\": headers, \\\"status_code\\\": 500},\\n            )\\n\\n    def build(\\n        self,\\n        method: str,\\n        document: Document,\\n        url: str,\\n        headers: Optional[dict] = None,\\n    ) -> List[Document]:\\n        if headers is None:\\n            headers = {}\\n\\n        if not isinstance(document, list) and isinstance(document, Document):\\n            documents: list[Document] = [document]\\n        elif isinstance(document, list) and all(\\n            isinstance(doc, Document) for doc in document\\n        ):\\n            documents = document\\n        else:\\n            raise ValueError(\\\"document must be a Document or a list of Documents\\\")\\n\\n        with requests.Session() as session:\\n            documents = [\\n                self.update_document(session, doc, url, headers, method)\\n                for doc in documents\\n            ]\\n            self.repr_value = documents\\n        return documents\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"document\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"document\",\"display_name\":\"Document\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":false},\"headers\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"headers\",\"display_name\":\"Headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"The headers to send with the request.\",\"type\":\"NestedDict\",\"list\":false},\"method\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"PATCH\",\"password\":false,\"options\":[\"PATCH\",\"PUT\"],\"name\":\"method\",\"display_name\":\"Method\",\"advanced\":false,\"dynamic\":false,\"info\":\"The HTTP method to use.\",\"type\":\"str\",\"list\":true},\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"The URL to make the request to.\",\"type\":\"str\",\"list\":false}},\"description\":\"Make a PATCH request to the given URL.\",\"base_classes\":[\"Document\"],\"display_name\":\"Update Request\",\"custom_fields\":{\"document\":null,\"headers\":null,\"method\":null,\"url\":null},\"output_types\":[\"UpdateRequest\"],\"documentation\":\"https://docs.langflow.org/components/utilities#update-request\",\"beta\":true,\"error\":null},\"JSONDocumentBuilder\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"### JSON Document Builder\\n\\n# Build a Document containing a JSON object using a key and another Document page content.\\n\\n# **Params**\\n\\n# - **Key:** The key to use for the JSON object.\\n# - **Document:** The Document page to use for the JSON object.\\n\\n# **Output**\\n\\n# - **Document:** The Document containing the JSON object.\\n\\nfrom langflow import CustomComponent\\nfrom langchain.schema import Document\\nfrom langflow.services.database.models.base import orjson_dumps\\n\\n\\nclass JSONDocumentBuilder(CustomComponent):\\n    display_name: str = \\\"JSON Document Builder\\\"\\n    description: str = \\\"Build a Document containing a JSON object using a key and another Document page content.\\\"\\n    output_types: list[str] = [\\\"Document\\\"]\\n    beta = True\\n    documentation: str = (\\n        \\\"https://docs.langflow.org/components/utilities#json-document-builder\\\"\\n    )\\n\\n    field_config = {\\n        \\\"key\\\": {\\\"display_name\\\": \\\"Key\\\"},\\n        \\\"document\\\": {\\\"display_name\\\": \\\"Document\\\"},\\n    }\\n\\n    def build(\\n        self,\\n        key: str,\\n        document: Document,\\n    ) -> Document:\\n        documents = None\\n        if isinstance(document, list):\\n            documents = [\\n                Document(\\n                    page_content=orjson_dumps({key: doc.page_content}, indent_2=False)\\n                )\\n                for doc in document\\n            ]\\n        elif isinstance(document, Document):\\n            documents = Document(\\n                page_content=orjson_dumps({key: document.page_content}, indent_2=False)\\n            )\\n        else:\\n            raise TypeError(\\n                f\\\"Expected Document or list of Documents, got {type(document)}\\\"\\n            )\\n        self.repr_value = documents\\n        return documents\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"document\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"document\",\"display_name\":\"Document\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":false},\"key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"key\",\"display_name\":\"Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Build a Document containing a JSON object using a key and another Document page content.\",\"base_classes\":[\"Document\"],\"display_name\":\"JSON Document Builder\",\"custom_fields\":{\"document\":null,\"key\":null},\"output_types\":[\"JSONDocumentBuilder\"],\"documentation\":\"https://docs.langflow.org/components/utilities#json-document-builder\",\"beta\":true,\"error\":null}},\"output_parsers\":{\"ResponseSchema\":{\"template\":{\"description\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"description\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"name\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"type\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"string\",\"password\":false,\"name\":\"type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"ResponseSchema\"},\"description\":\"A schema for a response from a structured output parser.\",\"base_classes\":[\"ResponseSchema\"],\"display_name\":\"ResponseSchema\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/output_parsers/structured\",\"beta\":false,\"error\":null},\"StructuredOutputParser\":{\"template\":{\"response_schemas\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"response_schemas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"ResponseSchema\",\"list\":true},\"_type\":\"StructuredOutputParser\"},\"description\":\"\",\"base_classes\":[\"BaseLLMOutputParser\",\"BaseOutputParser\",\"StructuredOutputParser\"],\"display_name\":\"StructuredOutputParser\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/output_parsers/structured\",\"beta\":false,\"error\":null}},\"retrievers\":{\"MultiQueryRetriever\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLM\",\"list\":false},\"prompt\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":{\"input_variables\":[\"question\"],\"input_types\":{},\"output_parser\":null,\"partial_variables\":{},\"template\":\"You are an AI language model assistant. Your task is \\n    to generate 3 different versions of the given user \\n    question to retrieve relevant documents from a vector  database. \\n    By generating multiple perspectives on the user question, \\n    your goal is to help the user overcome some of the limitations \\n    of distance-based similarity search. Provide these alternative \\n    questions separated by newlines. Original question: {question}\",\"template_format\":\"f-string\",\"validate_template\":true,\"_type\":\"prompt\"},\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"PromptTemplate\",\"list\":false},\"retriever\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseRetriever\",\"list\":false},\"parser_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"lines\",\"password\":false,\"name\":\"parser_key\",\"display_name\":\"Parser Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"MultiQueryRetriever\"},\"description\":\"Initialize from llm using default template.\",\"base_classes\":[\"MultiQueryRetriever\",\"BaseRetriever\"],\"display_name\":\"MultiQueryRetriever\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/retrievers/how_to/MultiQueryRetriever\",\"beta\":false,\"error\":null},\"MetalRetriever\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.retrievers import MetalRetriever\\nfrom langchain.schema import BaseRetriever\\nfrom metal_sdk.metal import Metal  # type: ignore\\n\\n\\nclass MetalRetrieverComponent(CustomComponent):\\n    display_name: str = \\\"Metal Retriever\\\"\\n    description: str = \\\"Retriever that uses the Metal API.\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"api_key\\\": {\\\"display_name\\\": \\\"API Key\\\", \\\"password\\\": True},\\n            \\\"client_id\\\": {\\\"display_name\\\": \\\"Client ID\\\", \\\"password\\\": True},\\n            \\\"index_id\\\": {\\\"display_name\\\": \\\"Index ID\\\"},\\n            \\\"params\\\": {\\\"display_name\\\": \\\"Parameters\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self, api_key: str, client_id: str, index_id: str, params: Optional[dict] = None\\n    ) -> BaseRetriever:\\n        try:\\n            metal = Metal(api_key=api_key, client_id=client_id, index_id=index_id)\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to Metal API.\\\") from e\\n        return MetalRetriever(client=metal, params=params or {})\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"api_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"api_key\",\"display_name\":\"API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"client_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"client_id\",\"display_name\":\"Client ID\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"index_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"index_id\",\"display_name\":\"Index ID\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"params\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"params\",\"display_name\":\"Parameters\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false}},\"description\":\"Retriever that uses the Metal API.\",\"base_classes\":[\"BaseRetriever\"],\"display_name\":\"Metal Retriever\",\"custom_fields\":{\"api_key\":null,\"client_id\":null,\"index_id\":null,\"params\":null},\"output_types\":[\"MetalRetriever\"],\"documentation\":\"\",\"beta\":true,\"error\":null}},\"custom_components\":{\"CustomComponent\":{\"template\":{\"code\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nfrom langflow.field_typing import (\\n    Tool,\\n    PromptTemplate,\\n    Chain,\\n    BaseChatMemory,\\n    BaseLLM,\\n    BaseLoader,\\n    BaseMemory,\\n    BaseOutputParser,\\n    BaseRetriever,\\n    VectorStore,\\n    Embeddings,\\n    TextSplitter,\\n    Document,\\n    AgentExecutor,\\n    NestedDict,\\n    Data,\\n)\\n\\n\\nclass Component(CustomComponent):\\n    display_name: str = \\\"Custom Component\\\"\\n    description: str = \\\"Create any custom component you want!\\\"\\n\\n    def build_config(self):\\n        return {\\\"param\\\": {\\\"display_name\\\": \\\"Parameter\\\"}}\\n\\n    def build(self, param: Data) -> Data:\\n        return param\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\"},\"description\":null,\"base_classes\":[],\"display_name\":\"Custom Component\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":true,\"error\":null}}}"
-            },
-            "headersSize": -1,
-            "bodySize": -1,
-            "redirectURL": ""
+          "headersSize": -1,
+          "bodySize": -1,
+          "redirectURL": ""
+        },
+        "cache": {},
+        "timings": {
+          "send": -1,
+          "wait": -1,
+          "receive": 0.836
+        }
+      },
+      {
+        "startedDateTime": "2024-02-28T14:32:36.617Z",
+        "time": 1.679,
+        "request": {
+          "method": "POST",
+          "url": "http://localhost:3000/api/v1/flows/",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            {
+              "name": "Accept",
+              "value": "application/json, text/plain, */*"
+            },
+            {
+              "name": "Accept-Encoding",
+              "value": "gzip, deflate, br, zstd"
+            },
+            {
+              "name": "Accept-Language",
+              "value": "en-US,en;q=0.9"
+            },
+            {
+              "name": "Authorization",
+              "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIwMzg5ZmIyOS1kYWE2LTQwOGMtYjhjYi1iOGZmOGQxNzM0M2EiLCJleHAiOjE3NDA2NjY3NTB9.ef5W5jwNOeVzU3JZ7ylLYf2MLEJcVxC4-fF7EK9Ecdc"
+            },
+            {
+              "name": "Connection",
+              "value": "keep-alive"
+            },
+            {
+              "name": "Content-Length",
+              "value": "170"
+            },
+            {
+              "name": "Content-Type",
+              "value": "application/json"
+            },
+            {
+              "name": "Cookie",
+              "value": "access_token_lf=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIwMzg5ZmIyOS1kYWE2LTQwOGMtYjhjYi1iOGZmOGQxNzM0M2EiLCJleHAiOjE3NDA2NjY3NTB9.ef5W5jwNOeVzU3JZ7ylLYf2MLEJcVxC4-fF7EK9Ecdc"
+            },
+            {
+              "name": "Host",
+              "value": "localhost:3000"
+            },
+            {
+              "name": "Origin",
+              "value": "http://localhost:3000"
+            },
+            {
+              "name": "Referer",
+              "value": "http://localhost:3000/flows"
+            },
+            {
+              "name": "Sec-Fetch-Dest",
+              "value": "empty"
+            },
+            {
+              "name": "Sec-Fetch-Mode",
+              "value": "cors"
+            },
+            {
+              "name": "Sec-Fetch-Site",
+              "value": "same-origin"
+            },
+            {
+              "name": "User-Agent",
+              "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/123.0.0.0 Safari/537.36"
+            },
+            {
+              "name": "sec-ch-ua",
+              "value": "\"Chromium\";v=\"123\", \"Not:A-Brand\";v=\"8\""
+            },
+            {
+              "name": "sec-ch-ua-mobile",
+              "value": "?0"
+            },
+            {
+              "name": "sec-ch-ua-platform",
+              "value": "\"Linux\""
+            }
+          ],
+          "queryString": [],
+          "headersSize": -1,
+          "bodySize": -1,
+          "postData": {
+            "mimeType": "application/json",
+            "text": "{\"name\":\"Untitled document\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"description\":\"Harness the Power of Conversational AI.\",\"is_component\":false}",
+            "params": []
+          }
+        },
+        "response": {
+          "status": 201,
+          "statusText": "Created",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            {
+              "name": "access-control-allow-credentials",
+              "value": "true"
+            },
+            {
+              "name": "access-control-allow-origin",
+              "value": "http://localhost:3000"
+            },
+            {
+              "name": "connection",
+              "value": "close"
+            },
+            {
+              "name": "content-length",
+              "value": "319"
+            },
+            {
+              "name": "content-type",
+              "value": "application/json"
+            },
+            {
+              "name": "date",
+              "value": "Wed, 28 Feb 2024 14:32:35 GMT"
+            },
+            {
+              "name": "server",
+              "value": "uvicorn"
+            },
+            {
+              "name": "vary",
+              "value": "Origin"
+            }
+          ],
+          "content": {
+            "size": -1,
+            "mimeType": "application/json",
+            "text": "{\"name\":\"Untitled document\",\"description\":\"Harness the Power of Conversational AI.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2024-02-28T14:32:36.621261\",\"folder\":null,\"id\":\"b3aad40d-cf3b-49d2-804f-bfa33b70beef\",\"user_id\":\"0389fb29-daa6-408c-b8cb-b8ff8d17343a\"}"
           },
-          "cache": {},
-          "timings": { "send": -1, "wait": -1, "receive": 1.031 }
-        },
-        {
-          "startedDateTime": "2023-08-31T14:55:36.131Z",
-          "time": 0.743,
-          "request": {
-            "method": "GET",
-            "url": "http://localhost:3000/api/v1/flows/",
-            "httpVersion": "HTTP/1.1",
-            "cookies": [],
-            "headers": [
-              { "name": "Accept", "value": "application/json, text/plain, */*" },
-              { "name": "Accept-Encoding", "value": "gzip, deflate, br" },
-              { "name": "Accept-Language", "value": "en-US,en;q=0.9" },
-              { "name": "Authorization", "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJiNWIxYjFhZC05M2VjLTRjMjgtYWMxNy01OGMxNDQ0MWI1ZGQiLCJleHAiOjE3MjUwMjk3MzV9.8qhEtryWqA9RbwEP2s20umKdVE7J7jHGoogXZqxLNWk" },
-              { "name": "Connection", "value": "keep-alive" },
-              { "name": "Cookie", "value": "access_token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJiNWIxYjFhZC05M2VjLTRjMjgtYWMxNy01OGMxNDQ0MWI1ZGQiLCJleHAiOjE3MjUwMjk3MzV9.8qhEtryWqA9RbwEP2s20umKdVE7J7jHGoogXZqxLNWk; refresh_token=auto" },
-              { "name": "Host", "value": "localhost:3000" },
-              { "name": "Referer", "value": "http://localhost:3000/" },
-              { "name": "Sec-Fetch-Dest", "value": "empty" },
-              { "name": "Sec-Fetch-Mode", "value": "cors" },
-              { "name": "Sec-Fetch-Site", "value": "same-origin" },
-              { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36" },
-              { "name": "sec-ch-ua", "value": "\"Not)A;Brand\";v=\"24\", \"Chromium\";v=\"116\"" },
-              { "name": "sec-ch-ua-mobile", "value": "?0" },
-              { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
-            ],
-            "queryString": [],
-            "headersSize": -1,
-            "bodySize": -1
+          "headersSize": -1,
+          "bodySize": -1,
+          "redirectURL": ""
+        },
+        "cache": {},
+        "timings": {
+          "send": -1,
+          "wait": -1,
+          "receive": 1.679
+        }
+      },
+      {
+        "startedDateTime": "2024-02-28T14:32:36.774Z",
+        "time": 1.023,
+        "request": {
+          "method": "GET",
+          "url": "http://localhost:3000/api/v1/monitor/builds?flow_id=b3aad40d-cf3b-49d2-804f-bfa33b70beef",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            {
+              "name": "Accept",
+              "value": "application/json, text/plain, */*"
+            },
+            {
+              "name": "Accept-Encoding",
+              "value": "gzip, deflate, br, zstd"
+            },
+            {
+              "name": "Accept-Language",
+              "value": "en-US,en;q=0.9"
+            },
+            {
+              "name": "Authorization",
+              "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIwMzg5ZmIyOS1kYWE2LTQwOGMtYjhjYi1iOGZmOGQxNzM0M2EiLCJleHAiOjE3NDA2NjY3NTB9.ef5W5jwNOeVzU3JZ7ylLYf2MLEJcVxC4-fF7EK9Ecdc"
+            },
+            {
+              "name": "Connection",
+              "value": "keep-alive"
+            },
+            {
+              "name": "Cookie",
+              "value": "access_token_lf=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIwMzg5ZmIyOS1kYWE2LTQwOGMtYjhjYi1iOGZmOGQxNzM0M2EiLCJleHAiOjE3NDA2NjY3NTB9.ef5W5jwNOeVzU3JZ7ylLYf2MLEJcVxC4-fF7EK9Ecdc"
+            },
+            {
+              "name": "Host",
+              "value": "localhost:3000"
+            },
+            {
+              "name": "Referer",
+              "value": "http://localhost:3000/flow/b3aad40d-cf3b-49d2-804f-bfa33b70beef"
+            },
+            {
+              "name": "Sec-Fetch-Dest",
+              "value": "empty"
+            },
+            {
+              "name": "Sec-Fetch-Mode",
+              "value": "cors"
+            },
+            {
+              "name": "Sec-Fetch-Site",
+              "value": "same-origin"
+            },
+            {
+              "name": "User-Agent",
+              "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/123.0.0.0 Safari/537.36"
+            },
+            {
+              "name": "sec-ch-ua",
+              "value": "\"Chromium\";v=\"123\", \"Not:A-Brand\";v=\"8\""
+            },
+            {
+              "name": "sec-ch-ua-mobile",
+              "value": "?0"
+            },
+            {
+              "name": "sec-ch-ua-platform",
+              "value": "\"Linux\""
+            }
+          ],
+          "queryString": [
+            {
+              "name": "flow_id",
+              "value": "b3aad40d-cf3b-49d2-804f-bfa33b70beef"
+            }
+          ],
+          "headersSize": -1,
+          "bodySize": -1
+        },
+        "response": {
+          "status": 200,
+          "statusText": "OK",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            {
+              "name": "Access-Control-Allow-Origin",
+              "value": "*"
+            },
+            {
+              "name": "connection",
+              "value": "close"
+            },
+            {
+              "name": "content-length",
+              "value": "20"
+            },
+            {
+              "name": "content-type",
+              "value": "application/json"
+            },
+            {
+              "name": "date",
+              "value": "Wed, 28 Feb 2024 14:32:35 GMT"
+            },
+            {
+              "name": "server",
+              "value": "uvicorn"
+            }
+          ],
+          "content": {
+            "size": -1,
+            "mimeType": "application/json",
+            "text": "{\"vertex_builds\":{}}"
           },
-          "response": {
-            "status": 200,
-            "statusText": "OK",
-            "httpVersion": "HTTP/1.1",
-            "cookies": [],
-            "headers": [
-              { "name": "Access-Control-Allow-Origin", "value": "*" },
-              { "name": "connection", "value": "close" },
-              { "name": "content-length", "value": "2" },
-              { "name": "content-type", "value": "application/json" },
-              { "name": "date", "value": "Thu, 31 Aug 2023 14:55:35 GMT" },
-              { "name": "server", "value": "uvicorn" }
-            ],
-            "content": {
-              "size": -1,
-              "mimeType": "application/json",
-              "text": "[]"
-            },
-            "headersSize": -1,
-            "bodySize": -1,
-            "redirectURL": ""
+          "headersSize": -1,
+          "bodySize": -1,
+          "redirectURL": ""
+        },
+        "cache": {},
+        "timings": {
+          "send": -1,
+          "wait": -1,
+          "receive": 1.023
+        }
+      },
+      {
+        "startedDateTime": "2024-02-28T14:32:49.526Z",
+        "time": 0.977,
+        "request": {
+          "method": "DELETE",
+          "url": "http://localhost:3000/api/v1/flows/b3aad40d-cf3b-49d2-804f-bfa33b70beef",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            {
+              "name": "Accept",
+              "value": "application/json, text/plain, */*"
+            },
+            {
+              "name": "Accept-Encoding",
+              "value": "gzip, deflate, br, zstd"
+            },
+            {
+              "name": "Accept-Language",
+              "value": "en-US,en;q=0.9"
+            },
+            {
+              "name": "Authorization",
+              "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIwMzg5ZmIyOS1kYWE2LTQwOGMtYjhjYi1iOGZmOGQxNzM0M2EiLCJleHAiOjE3NDA2NjY3NTB9.ef5W5jwNOeVzU3JZ7ylLYf2MLEJcVxC4-fF7EK9Ecdc"
+            },
+            {
+              "name": "Connection",
+              "value": "keep-alive"
+            },
+            {
+              "name": "Cookie",
+              "value": "access_token_lf=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIwMzg5ZmIyOS1kYWE2LTQwOGMtYjhjYi1iOGZmOGQxNzM0M2EiLCJleHAiOjE3NDA2NjY3NTB9.ef5W5jwNOeVzU3JZ7ylLYf2MLEJcVxC4-fF7EK9Ecdc"
+            },
+            {
+              "name": "Host",
+              "value": "localhost:3000"
+            },
+            {
+              "name": "Origin",
+              "value": "http://localhost:3000"
+            },
+            {
+              "name": "Referer",
+              "value": "http://localhost:3000/flow/b3aad40d-cf3b-49d2-804f-bfa33b70beef"
+            },
+            {
+              "name": "Sec-Fetch-Dest",
+              "value": "empty"
+            },
+            {
+              "name": "Sec-Fetch-Mode",
+              "value": "cors"
+            },
+            {
+              "name": "Sec-Fetch-Site",
+              "value": "same-origin"
+            },
+            {
+              "name": "User-Agent",
+              "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/123.0.0.0 Safari/537.36"
+            },
+            {
+              "name": "sec-ch-ua",
+              "value": "\"Chromium\";v=\"123\", \"Not:A-Brand\";v=\"8\""
+            },
+            {
+              "name": "sec-ch-ua-mobile",
+              "value": "?0"
+            },
+            {
+              "name": "sec-ch-ua-platform",
+              "value": "\"Linux\""
+            }
+          ],
+          "queryString": [],
+          "headersSize": -1,
+          "bodySize": -1
+        },
+        "response": {
+          "status": 200,
+          "statusText": "OK",
+          "httpVersion": "HTTP/1.1",
+          "cookies": [],
+          "headers": [
+            {
+              "name": "access-control-allow-credentials",
+              "value": "true"
+            },
+            {
+              "name": "access-control-allow-origin",
+              "value": "http://localhost:3000"
+            },
+            {
+              "name": "connection",
+              "value": "close"
+            },
+            {
+              "name": "content-length",
+              "value": "39"
+            },
+            {
+              "name": "content-type",
+              "value": "application/json"
+            },
+            {
+              "name": "date",
+              "value": "Wed, 28 Feb 2024 14:32:48 GMT"
+            },
+            {
+              "name": "server",
+              "value": "uvicorn"
+            },
+            {
+              "name": "vary",
+              "value": "Origin"
+            }
+          ],
+          "content": {
+            "size": -1,
+            "mimeType": "application/json",
+            "text": "{\"message\":\"Flow deleted successfully\"}"
           },
-          "cache": {},
-          "timings": { "send": -1, "wait": -1, "receive": 0.743 }
+          "headersSize": -1,
+          "bodySize": -1,
+          "redirectURL": ""
+        },
+        "cache": {},
+        "timings": {
+          "send": -1,
+          "wait": -1,
+          "receive": 0.977
         }
-      ]
-    }
-  } 
\ No newline at end of file
+      }
+    ]
+  }
+}
\ No newline at end of file
diff --git a/src/frontend/index.html b/src/frontend/index.html
index 8c21f012422..c99fd9f2f06 100644
--- a/src/frontend/index.html
+++ b/src/frontend/index.html
@@ -1,16 +1,19 @@
 <!DOCTYPE html>
 <html lang="en">
-<head>
-    <meta charset="UTF-8">
-    <meta http-equiv="X-UA-Compatible" content="IE=edge">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+  <head>
+    <meta charset="UTF-8" />
+    <meta http-equiv="X-UA-Compatible" content="IE=edge" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <link rel="icon" href="/favicon.ico" />
-    <script src="/node_modules/ace-builds/src-min-noconflict/ace.js" type="text/javascript"></script>
+    <script
+      src="/node_modules/ace-builds/src-min-noconflict/ace.js"
+      type="module"
+    ></script>
     <title>Langflow</title>
-</head>
-<body id='body' style="width: 100%; height:100%">
+  </head>
+  <body id="body" class="dark" style="width: 100%; height: 100%">
     <noscript>You need to enable JavaScript to run this app.</noscript>
-    <div style="width: 100vw; height:100vh" id='root'></div>
+    <div style="width: 100vw; height: 100vh" id="root"></div>
     <script type="module" src="/src/index.tsx"></script>
-</body>
+  </body>
 </html>
diff --git a/src/frontend/package-lock.json b/src/frontend/package-lock.json
index 2bfc05143fc..d6b9d3b74e1 100644
--- a/src/frontend/package-lock.json
+++ b/src/frontend/package-lock.json
@@ -8,104 +8,113 @@
       "name": "langflow",
       "version": "0.1.2",
       "dependencies": {
-        "@emotion/react": "^11.11.1",
-        "@emotion/styled": "^11.11.0",
-        "@headlessui/react": "^1.7.17",
-        "@heroicons/react": "^2.0.18",
-        "@mui/material": "^5.14.7",
-        "@preact/signals-react": "^2.0.0",
+        "@headlessui/react": "^2.0.4",
+        "@hookform/resolvers": "^3.6.0",
+        "@million/lint": "^1.0.0-rc.26",
         "@radix-ui/react-accordion": "^1.1.2",
         "@radix-ui/react-checkbox": "^1.0.4",
-        "@radix-ui/react-dialog": "^1.0.4",
-        "@radix-ui/react-dropdown-menu": "^2.0.5",
+        "@radix-ui/react-dialog": "^1.0.5",
+        "@radix-ui/react-dropdown-menu": "^2.0.6",
         "@radix-ui/react-form": "^0.0.3",
         "@radix-ui/react-icons": "^1.3.0",
         "@radix-ui/react-label": "^2.0.2",
-        "@radix-ui/react-menubar": "^1.0.3",
-        "@radix-ui/react-popover": "^1.0.6",
+        "@radix-ui/react-menubar": "^1.0.4",
+        "@radix-ui/react-popover": "^1.0.7",
         "@radix-ui/react-progress": "^1.0.3",
-        "@radix-ui/react-select": "^1.2.2",
+        "@radix-ui/react-select": "^2.0.0",
         "@radix-ui/react-separator": "^1.0.3",
         "@radix-ui/react-slot": "^1.0.2",
         "@radix-ui/react-switch": "^1.0.3",
         "@radix-ui/react-tabs": "^1.0.4",
-        "@radix-ui/react-tooltip": "^1.0.6",
-        "@tabler/icons-react": "^2.32.0",
-        "@tailwindcss/forms": "^0.5.6",
+        "@radix-ui/react-toggle": "^1.0.3",
+        "@radix-ui/react-tooltip": "^1.0.7",
+        "@tabler/icons-react": "^3.6.0",
+        "@tailwindcss/forms": "^0.5.7",
         "@tailwindcss/line-clamp": "^0.4.4",
         "@types/axios": "^0.14.0",
-        "accordion": "^3.0.2",
-        "ace-builds": "^1.24.1",
-        "add": "^2.0.6",
+        "ace-builds": "^1.35.0",
+        "ag-grid-community": "^31.3.2",
+        "ag-grid-react": "^31.3.2",
         "ansi-to-html": "^0.7.2",
-        "axios": "^1.5.0",
+        "axios": "^1.7.2",
         "base64-js": "^1.5.1",
-        "class-variance-authority": "^0.6.1",
-        "clsx": "^1.2.1",
-        "dompurify": "^3.0.5",
-        "esbuild": "^0.17.19",
+        "class-variance-authority": "^0.7.0",
+        "clsx": "^2.1.1",
+        "cmdk": "^1.0.0",
+        "dompurify": "^3.1.5",
+        "dotenv": "^16.4.5",
+        "emoji-regex": "^10.3.0",
+        "esbuild": "^0.21.5",
+        "file-saver": "^2.0.5",
+        "framer-motion": "^11.2.10",
         "lodash": "^4.17.21",
-        "lucide-react": "^0.233.0",
-        "moment": "^2.29.4",
-        "react": "^18.2.0",
-        "react-ace": "^10.1.0",
-        "react-cookie": "^4.1.1",
-        "react-dom": "^18.2.0",
-        "react-error-boundary": "^4.0.11",
-        "react-icons": "^4.10.1",
+        "lucide-react": "^0.395.0",
+        "million": "^3.1.11",
+        "moment": "^2.30.1",
+        "openseadragon": "^4.1.1",
+        "p-debounce": "^4.0.0",
+        "playwright": "^1.44.1",
+        "react": "^18.3.1",
+        "react-ace": "^11.0.1",
+        "react-cookie": "^7.1.4",
+        "react-dom": "^18.3.1",
+        "react-error-boundary": "^4.0.13",
+        "react-hook-form": "^7.52.0",
+        "react-hotkeys-hook": "^4.5.0",
+        "react-icons": "^5.2.1",
         "react-laag": "^2.0.5",
         "react-markdown": "^8.0.7",
-        "react-router-dom": "^6.15.0",
+        "react-pdf": "^9.0.0",
+        "react-router-dom": "^6.23.1",
         "react-syntax-highlighter": "^15.5.0",
-        "react-tabs": "^6.0.2",
-        "react-tooltip": "^5.21.1",
-        "react18-json-view": "^0.2.3",
-        "reactflow": "^11.9.2",
+        "react18-json-view": "^0.2.8",
+        "reactflow": "^11.11.3",
         "rehype-mathjax": "^4.0.3",
-        "remark-gfm": "^3.0.1",
-        "remark-math": "^5.1.1",
-        "shadcn-ui": "^0.2.3",
-        "short-unique-id": "^4.4.4",
-        "switch": "^0.0.0",
-        "table": "^6.8.1",
-        "tailwind-merge": "^1.14.0",
+        "remark-gfm": "3.0.1",
+        "remark-math": "^6.0.0",
+        "shadcn-ui": "^0.8.0",
+        "short-unique-id": "^5.2.0",
+        "tailwind-merge": "^2.3.0",
         "tailwindcss-animate": "^1.0.7",
-        "uuid": "^9.0.0",
-        "vite-plugin-svgr": "^3.2.0",
-        "web-vitals": "^2.1.4",
-        "zustand": "^4.4.7"
+        "uuid": "^10.0.0",
+        "vite-plugin-svgr": "^4.2.0",
+        "web-vitals": "^4.1.1",
+        "zod": "^3.23.8",
+        "zustand": "^4.5.2"
       },
       "devDependencies": {
-        "@playwright/test": "^1.38.0",
-        "@swc/cli": "^0.1.62",
-        "@swc/core": "^1.3.80",
-        "@tailwindcss/typography": "^0.5.9",
-        "@testing-library/jest-dom": "^5.17.0",
-        "@testing-library/react": "^13.4.0",
-        "@testing-library/user-event": "^13.5.0",
-        "@types/jest": "^27.5.2",
-        "@types/lodash": "^4.14.197",
-        "@types/node": "^16.18.46",
-        "@types/react": "^18.2.21",
-        "@types/react-dom": "^18.2.7",
-        "@types/uuid": "^9.0.2",
-        "@vitejs/plugin-react-swc": "^3.3.2",
-        "autoprefixer": "^10.4.15",
-        "daisyui": "^4.0.4",
-        "postcss": "^8.4.29",
-        "prettier": "^2.8.8",
-        "prettier-plugin-organize-imports": "^3.2.3",
-        "prettier-plugin-tailwindcss": "^0.3.0",
-        "pretty-quick": "^3.1.3",
-        "tailwindcss": "^3.3.3",
-        "typescript": "^5.2.2",
-        "vite": "^4.5.2"
+        "@playwright/test": "^1.44.1",
+        "@swc/cli": "^0.3.12",
+        "@swc/core": "^1.6.1",
+        "@tailwindcss/typography": "^0.5.13",
+        "@testing-library/jest-dom": "^6.4.6",
+        "@testing-library/react": "^16.0.0",
+        "@testing-library/user-event": "^14.5.2",
+        "@types/jest": "^29.5.12",
+        "@types/lodash": "4.17.5",
+        "@types/node": "^20.14.2",
+        "@types/react": "^18.3.3",
+        "@types/react-dom": "^18.3.0",
+        "@types/uuid": "^9.0.8",
+        "@vitejs/plugin-react-swc": "^3.7.0",
+        "autoprefixer": "^10.4.19",
+        "eslint": "^9.5.0",
+        "postcss": "^8.4.38",
+        "prettier": "^3.3.2",
+        "prettier-plugin-organize-imports": "^3.2.4",
+        "prettier-plugin-tailwindcss": "^0.6.4",
+        "simple-git-hooks": "^2.11.1",
+        "tailwindcss": "^3.4.4",
+        "tailwindcss-dotted-background": "^1.1.0",
+        "typescript": "^5.4.5",
+        "ua-parser-js": "^1.0.38",
+        "vite": "^5.3.1"
       }
     },
     "node_modules/@adobe/css-tools": {
-      "version": "4.3.3",
-      "resolved": "https://registry.npmjs.org/@adobe/css-tools/-/css-tools-4.3.3.tgz",
-      "integrity": "sha512-rE0Pygv0sEZ4vBWHlAgJLGDU7Pm8xoO6p3wsEceb7GYAjScrOHpEo8KK/eVkAcnSM+slAEtXjA2JpdjLp4fJQQ==",
+      "version": "4.4.0",
+      "resolved": "https://registry.npmjs.org/@adobe/css-tools/-/css-tools-4.4.0.tgz",
+      "integrity": "sha512-Ff9+ksdQQB3rMncgqDK78uLznstjyfIf2Arnh22pW8kBpLs6rpKDwgnZT46hin5Hl1WzazzK64DOrhSwYpS7bQ==",
       "dev": true
     },
     "node_modules/@alloc/quick-lru": {
@@ -120,12 +129,12 @@
       }
     },
     "node_modules/@ampproject/remapping": {
-      "version": "2.2.1",
-      "resolved": "https://registry.npmjs.org/@ampproject/remapping/-/remapping-2.2.1.tgz",
-      "integrity": "sha512-lFMjJTrFL3j7L9yBxwYfCq2k6qqwHyzuUl/XBnif78PWTJYyL/dfowQHWE3sp6U6ZzqWiiIZnpTMO96zhkjwtg==",
+      "version": "2.3.0",
+      "resolved": "https://registry.npmjs.org/@ampproject/remapping/-/remapping-2.3.0.tgz",
+      "integrity": "sha512-30iZtAPgz+LTIYoeivqYo853f02jBYSd5uGnGpkFV0M3xOt9aN73erkgYAmZU43x4VfqcnLxW9Kpg3R5LC4YYw==",
       "dependencies": {
-        "@jridgewell/gen-mapping": "^0.3.0",
-        "@jridgewell/trace-mapping": "^0.3.9"
+        "@jridgewell/gen-mapping": "^0.3.5",
+        "@jridgewell/trace-mapping": "^0.3.24"
       },
       "engines": {
         "node": ">=6.0.0"
@@ -145,105 +154,61 @@
         "nun": "bin/nun.mjs"
       }
     },
-    "node_modules/@babel/code-frame": {
-      "version": "7.23.5",
-      "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.23.5.tgz",
-      "integrity": "sha512-CgH3s1a96LipHCmSUmYFPwY7MNx8C3avkq7i4Wl3cfa662ldtUe4VM1TPXX70pfmrlWTb6jLqTYrZyT2ZTJBgA==",
-      "dependencies": {
-        "@babel/highlight": "^7.23.4",
-        "chalk": "^2.4.2"
-      },
-      "engines": {
-        "node": ">=6.9.0"
-      }
-    },
-    "node_modules/@babel/code-frame/node_modules/ansi-styles": {
-      "version": "3.2.1",
-      "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-3.2.1.tgz",
-      "integrity": "sha512-VT0ZI6kZRdTh8YyJw3SMbYm/u+NqfsAxEpWO0Pf9sq8/e94WxxOpPKx9FR1FlyCtOVDNOQ+8ntlqFxiRc+r5qA==",
-      "dependencies": {
-        "color-convert": "^1.9.0"
-      },
-      "engines": {
-        "node": ">=4"
-      }
-    },
-    "node_modules/@babel/code-frame/node_modules/chalk": {
-      "version": "2.4.2",
-      "resolved": "https://registry.npmjs.org/chalk/-/chalk-2.4.2.tgz",
-      "integrity": "sha512-Mti+f9lpJNcwF4tWV8/OrTTtF1gZi+f8FqlyAdouralcFWFQWF2+NgCHShjkCb+IFBLq9buZwE1xckQU4peSuQ==",
+    "node_modules/@axiomhq/js": {
+      "version": "1.0.0-rc.3",
+      "resolved": "https://registry.npmjs.org/@axiomhq/js/-/js-1.0.0-rc.3.tgz",
+      "integrity": "sha512-Zm10TczcMLounWqC42nMkXQ7XKLqjzLrd5ia022oBKDUZqAFVg2y9d1quQVNV4FlXyg9MKDdfMjpKQRmzEGaog==",
       "dependencies": {
-        "ansi-styles": "^3.2.1",
-        "escape-string-regexp": "^1.0.5",
-        "supports-color": "^5.3.0"
+        "fetch-retry": "^6.0.0",
+        "uuid": "^8.3.2"
       },
       "engines": {
-        "node": ">=4"
-      }
-    },
-    "node_modules/@babel/code-frame/node_modules/color-convert": {
-      "version": "1.9.3",
-      "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-1.9.3.tgz",
-      "integrity": "sha512-QfAUtd+vFdAtFQcC8CCyYt1fYWxSqAiK2cSD6zDB8N3cpsEBAvRxp9zOGg6G/SHHJYAT88/az/IuDGALsNVbGg==",
-      "dependencies": {
-        "color-name": "1.1.3"
-      }
-    },
-    "node_modules/@babel/code-frame/node_modules/color-name": {
-      "version": "1.1.3",
-      "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.3.tgz",
-      "integrity": "sha512-72fSenhMw2HZMTVHeCA9KCmpEIbzWiQsjN+BHcBbS9vr1mtt+vJjPdksIBNUmKAW8TFUDPJK5SUU3QhE9NEXDw=="
-    },
-    "node_modules/@babel/code-frame/node_modules/escape-string-regexp": {
-      "version": "1.0.5",
-      "resolved": "https://registry.npmjs.org/escape-string-regexp/-/escape-string-regexp-1.0.5.tgz",
-      "integrity": "sha512-vbRorB5FUQWvla16U8R/qgaFIya2qGzwDrNmCZuYKrbdSUMG6I1ZCGQRefkRVhuOkIGVne7BQ35DSfo1qvJqFg==",
-      "engines": {
-        "node": ">=0.8.0"
+        "node": ">=16"
       }
     },
-    "node_modules/@babel/code-frame/node_modules/has-flag": {
-      "version": "3.0.0",
-      "resolved": "https://registry.npmjs.org/has-flag/-/has-flag-3.0.0.tgz",
-      "integrity": "sha512-sKJf1+ceQBr4SMkvQnBDNDtf4TXpVhVGateu0t918bl30FnbE2m4vNLX+VWe/dpjlb+HugGYzW7uQXH98HPEYw==",
-      "engines": {
-        "node": ">=4"
+    "node_modules/@axiomhq/js/node_modules/uuid": {
+      "version": "8.3.2",
+      "resolved": "https://registry.npmjs.org/uuid/-/uuid-8.3.2.tgz",
+      "integrity": "sha512-+NYs2QeMWy+GWFOEm9xnn6HCDp0l7QBD7ml8zLUmJ+93Q5NF0NocErnwkTkXVFNiX3/fpC6afS8Dhb/gz7R7eg==",
+      "bin": {
+        "uuid": "dist/bin/uuid"
       }
     },
-    "node_modules/@babel/code-frame/node_modules/supports-color": {
-      "version": "5.5.0",
-      "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-5.5.0.tgz",
-      "integrity": "sha512-QjVjwdXIt408MIiAqCX4oUKsgU2EqAGzs2Ppkm4aQYbjm+ZEWEcW4SfFNTr4uMNZma0ey4f5lgLrkB0aX0QMow==",
+    "node_modules/@babel/code-frame": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.24.7.tgz",
+      "integrity": "sha512-BcYH1CVJBO9tvyIZ2jVeXgSIMvGZ2FDRvDdOIVQyuklNKSsx+eppDEBq/g47Ayw+RqNFE+URvOShmf+f/qwAlA==",
       "dependencies": {
-        "has-flag": "^3.0.0"
+        "@babel/highlight": "^7.24.7",
+        "picocolors": "^1.0.0"
       },
       "engines": {
-        "node": ">=4"
+        "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/compat-data": {
-      "version": "7.23.5",
-      "resolved": "https://registry.npmjs.org/@babel/compat-data/-/compat-data-7.23.5.tgz",
-      "integrity": "sha512-uU27kfDRlhfKl+w1U6vp16IuvSLtjAxdArVXPa9BvLkrr7CYIsxH5adpHObeAGY/41+syctUWOZ140a2Rvkgjw==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/compat-data/-/compat-data-7.24.7.tgz",
+      "integrity": "sha512-qJzAIcv03PyaWqxRgO4mSU3lihncDT296vnyuE2O8uA4w3UHWI4S3hgeZd1L8W1Bft40w9JxJ2b412iDUFFRhw==",
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/core": {
-      "version": "7.23.9",
-      "resolved": "https://registry.npmjs.org/@babel/core/-/core-7.23.9.tgz",
-      "integrity": "sha512-5q0175NOjddqpvvzU+kDiSOAk4PfdO6FvwCWoQ6RO7rTzEe8vlo+4HVfcnAREhD4npMs0e9uZypjTwzZPCf/cw==",
+      "version": "7.24.6",
+      "resolved": "https://registry.npmjs.org/@babel/core/-/core-7.24.6.tgz",
+      "integrity": "sha512-qAHSfAdVyFmIvl0VHELib8xar7ONuSHrE2hLnsaWkYNTI68dmi1x8GYDhJjMI/e7XWal9QBlZkwbOnkcw7Z8gQ==",
       "dependencies": {
         "@ampproject/remapping": "^2.2.0",
-        "@babel/code-frame": "^7.23.5",
-        "@babel/generator": "^7.23.6",
-        "@babel/helper-compilation-targets": "^7.23.6",
-        "@babel/helper-module-transforms": "^7.23.3",
-        "@babel/helpers": "^7.23.9",
-        "@babel/parser": "^7.23.9",
-        "@babel/template": "^7.23.9",
-        "@babel/traverse": "^7.23.9",
-        "@babel/types": "^7.23.9",
+        "@babel/code-frame": "^7.24.6",
+        "@babel/generator": "^7.24.6",
+        "@babel/helper-compilation-targets": "^7.24.6",
+        "@babel/helper-module-transforms": "^7.24.6",
+        "@babel/helpers": "^7.24.6",
+        "@babel/parser": "^7.24.6",
+        "@babel/template": "^7.24.6",
+        "@babel/traverse": "^7.24.6",
+        "@babel/types": "^7.24.6",
         "convert-source-map": "^2.0.0",
         "debug": "^4.1.0",
         "gensync": "^1.0.0-beta.2",
@@ -258,470 +223,598 @@
         "url": "https://opencollective.com/babel"
       }
     },
-    "node_modules/@babel/core/node_modules/convert-source-map": {
-      "version": "2.0.0",
-      "resolved": "https://registry.npmjs.org/convert-source-map/-/convert-source-map-2.0.0.tgz",
-      "integrity": "sha512-Kvp459HrV2FEJ1CAsi1Ku+MY3kasH19TFykTz2xWmMeq6bk2NU3XXvfJ+Q61m0xktWwt+1HSYf3JZsTms3aRJg=="
-    },
-    "node_modules/@babel/core/node_modules/semver": {
-      "version": "6.3.1",
-      "resolved": "https://registry.npmjs.org/semver/-/semver-6.3.1.tgz",
-      "integrity": "sha512-BR7VvDCVHO+q2xBEWskxS6DJE1qRnb7DxzUrogb71CWoSficBxYsiAGd+Kl0mmq/MprG9yArRkyrQxTO6XjMzA==",
-      "bin": {
-        "semver": "bin/semver.js"
-      }
-    },
     "node_modules/@babel/generator": {
-      "version": "7.23.6",
-      "resolved": "https://registry.npmjs.org/@babel/generator/-/generator-7.23.6.tgz",
-      "integrity": "sha512-qrSfCYxYQB5owCmGLbl8XRpX1ytXlpueOb0N0UmQwA073KZxejgQTzAmJezxvpwQD9uGtK2shHdi55QT+MbjIw==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/generator/-/generator-7.24.7.tgz",
+      "integrity": "sha512-oipXieGC3i45Y1A41t4tAqpnEZWgB/lC6Ehh6+rOviR5XWpTtMmLN+fGjz9vOiNRt0p6RtO6DtD0pdU3vpqdSA==",
       "dependencies": {
-        "@babel/types": "^7.23.6",
-        "@jridgewell/gen-mapping": "^0.3.2",
-        "@jridgewell/trace-mapping": "^0.3.17",
+        "@babel/types": "^7.24.7",
+        "@jridgewell/gen-mapping": "^0.3.5",
+        "@jridgewell/trace-mapping": "^0.3.25",
         "jsesc": "^2.5.1"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
-    "node_modules/@babel/helper-compilation-targets": {
-      "version": "7.23.6",
-      "resolved": "https://registry.npmjs.org/@babel/helper-compilation-targets/-/helper-compilation-targets-7.23.6.tgz",
-      "integrity": "sha512-9JB548GZoQVmzrFgp8o7KxdgkTGm6xs9DW0o/Pim72UDjzr5ObUQ6ZzYPqA+g9OTS2bBQoctLJrky0RDCAWRgQ==",
+    "node_modules/@babel/generator/node_modules/@babel/types": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/types/-/types-7.24.7.tgz",
+      "integrity": "sha512-XEFXSlxiG5td2EJRe8vOmRbaXVgfcBlszKujvVmWIK/UpywWljQCfzAv3RQCGujWQ1RD4YYWEAqDXfuJiy8f5Q==",
       "dependencies": {
-        "@babel/compat-data": "^7.23.5",
-        "@babel/helper-validator-option": "^7.23.5",
-        "browserslist": "^4.22.2",
-        "lru-cache": "^5.1.1",
-        "semver": "^6.3.1"
+        "@babel/helper-string-parser": "^7.24.7",
+        "@babel/helper-validator-identifier": "^7.24.7",
+        "to-fast-properties": "^2.0.0"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
-    "node_modules/@babel/helper-compilation-targets/node_modules/lru-cache": {
-      "version": "5.1.1",
-      "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-5.1.1.tgz",
-      "integrity": "sha512-KpNARQA3Iwv+jTA0utUVVbrh+Jlrr1Fv0e56GGzAFOXN7dk/FviaDW8LHmK52DlcH4WP2n6gI8vN1aesBFgo9w==",
+    "node_modules/@babel/helper-annotate-as-pure": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-annotate-as-pure/-/helper-annotate-as-pure-7.24.7.tgz",
+      "integrity": "sha512-BaDeOonYvhdKw+JoMVkAixAAJzG2jVPIwWoKBPdYuY9b452e2rPuI9QPYh3KpofZ3pW2akOmwZLOiOsHMiqRAg==",
       "dependencies": {
-        "yallist": "^3.0.2"
+        "@babel/types": "^7.24.7"
+      },
+      "engines": {
+        "node": ">=6.9.0"
       }
     },
-    "node_modules/@babel/helper-compilation-targets/node_modules/semver": {
-      "version": "6.3.1",
-      "resolved": "https://registry.npmjs.org/semver/-/semver-6.3.1.tgz",
-      "integrity": "sha512-BR7VvDCVHO+q2xBEWskxS6DJE1qRnb7DxzUrogb71CWoSficBxYsiAGd+Kl0mmq/MprG9yArRkyrQxTO6XjMzA==",
-      "bin": {
-        "semver": "bin/semver.js"
+    "node_modules/@babel/helper-annotate-as-pure/node_modules/@babel/types": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/types/-/types-7.24.7.tgz",
+      "integrity": "sha512-XEFXSlxiG5td2EJRe8vOmRbaXVgfcBlszKujvVmWIK/UpywWljQCfzAv3RQCGujWQ1RD4YYWEAqDXfuJiy8f5Q==",
+      "dependencies": {
+        "@babel/helper-string-parser": "^7.24.7",
+        "@babel/helper-validator-identifier": "^7.24.7",
+        "to-fast-properties": "^2.0.0"
+      },
+      "engines": {
+        "node": ">=6.9.0"
       }
     },
-    "node_modules/@babel/helper-compilation-targets/node_modules/yallist": {
-      "version": "3.1.1",
-      "resolved": "https://registry.npmjs.org/yallist/-/yallist-3.1.1.tgz",
-      "integrity": "sha512-a4UGQaWPH59mOXUYnAG2ewncQS4i4F43Tv3JoAM+s2VDAmS9NsK8GpDMLrCHPksFT7h3K6TOoUNn2pb7RoXx4g=="
-    },
-    "node_modules/@babel/helper-environment-visitor": {
-      "version": "7.22.20",
-      "resolved": "https://registry.npmjs.org/@babel/helper-environment-visitor/-/helper-environment-visitor-7.22.20.tgz",
-      "integrity": "sha512-zfedSIzFhat/gFhWfHtgWvlec0nqB9YEIVrpuwjruLlXfUSnA8cJB0miHKwqDnQ7d32aKo2xt88/xZptwxbfhA==",
+    "node_modules/@babel/helper-compilation-targets": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-compilation-targets/-/helper-compilation-targets-7.24.7.tgz",
+      "integrity": "sha512-ctSdRHBi20qWOfy27RUb4Fhp07KSJ3sXcuSvTrXrc4aG8NSYDo1ici3Vhg9bg69y5bj0Mr1lh0aeEgTvc12rMg==",
+      "dependencies": {
+        "@babel/compat-data": "^7.24.7",
+        "@babel/helper-validator-option": "^7.24.7",
+        "browserslist": "^4.22.2",
+        "lru-cache": "^5.1.1",
+        "semver": "^6.3.1"
+      },
       "engines": {
         "node": ">=6.9.0"
       }
     },
-    "node_modules/@babel/helper-function-name": {
-      "version": "7.23.0",
-      "resolved": "https://registry.npmjs.org/@babel/helper-function-name/-/helper-function-name-7.23.0.tgz",
-      "integrity": "sha512-OErEqsrxjZTJciZ4Oo+eoZqeW9UIiOcuYKRJA4ZAgV9myA+pOXhhmpfNCKjEH/auVfEYVFJ6y1Tc4r0eIApqiw==",
+    "node_modules/@babel/helper-create-class-features-plugin": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-create-class-features-plugin/-/helper-create-class-features-plugin-7.24.7.tgz",
+      "integrity": "sha512-kTkaDl7c9vO80zeX1rJxnuRpEsD5tA81yh11X1gQo+PhSti3JS+7qeZo9U4RHobKRiFPKaGK3svUAeb8D0Q7eg==",
       "dependencies": {
-        "@babel/template": "^7.22.15",
-        "@babel/types": "^7.23.0"
+        "@babel/helper-annotate-as-pure": "^7.24.7",
+        "@babel/helper-environment-visitor": "^7.24.7",
+        "@babel/helper-function-name": "^7.24.7",
+        "@babel/helper-member-expression-to-functions": "^7.24.7",
+        "@babel/helper-optimise-call-expression": "^7.24.7",
+        "@babel/helper-replace-supers": "^7.24.7",
+        "@babel/helper-skip-transparent-expression-wrappers": "^7.24.7",
+        "@babel/helper-split-export-declaration": "^7.24.7",
+        "semver": "^6.3.1"
       },
       "engines": {
         "node": ">=6.9.0"
+      },
+      "peerDependencies": {
+        "@babel/core": "^7.0.0"
       }
     },
-    "node_modules/@babel/helper-hoist-variables": {
-      "version": "7.22.5",
-      "resolved": "https://registry.npmjs.org/@babel/helper-hoist-variables/-/helper-hoist-variables-7.22.5.tgz",
-      "integrity": "sha512-wGjk9QZVzvknA6yKIUURb8zY3grXCcOZt+/7Wcy8O2uctxhplmUPkOdlgoNhmdVee2c92JXbf1xpMtVNbfoxRw==",
+    "node_modules/@babel/helper-environment-visitor": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-environment-visitor/-/helper-environment-visitor-7.24.7.tgz",
+      "integrity": "sha512-DoiN84+4Gnd0ncbBOM9AZENV4a5ZiL39HYMyZJGZ/AZEykHYdJw0wW3kdcsh9/Kn+BRXHLkkklZ51ecPKmI1CQ==",
       "dependencies": {
-        "@babel/types": "^7.22.5"
+        "@babel/types": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
-    "node_modules/@babel/helper-module-imports": {
-      "version": "7.22.15",
-      "resolved": "https://registry.npmjs.org/@babel/helper-module-imports/-/helper-module-imports-7.22.15.tgz",
-      "integrity": "sha512-0pYVBnDKZO2fnSPCrgM/6WMc7eS20Fbok+0r88fp+YtWVLZrp4CkafFGIp+W0VKw4a22sgebPT99y+FDNMdP4w==",
+    "node_modules/@babel/helper-environment-visitor/node_modules/@babel/types": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/types/-/types-7.24.7.tgz",
+      "integrity": "sha512-XEFXSlxiG5td2EJRe8vOmRbaXVgfcBlszKujvVmWIK/UpywWljQCfzAv3RQCGujWQ1RD4YYWEAqDXfuJiy8f5Q==",
       "dependencies": {
-        "@babel/types": "^7.22.15"
+        "@babel/helper-string-parser": "^7.24.7",
+        "@babel/helper-validator-identifier": "^7.24.7",
+        "to-fast-properties": "^2.0.0"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
-    "node_modules/@babel/helper-module-transforms": {
-      "version": "7.23.3",
-      "resolved": "https://registry.npmjs.org/@babel/helper-module-transforms/-/helper-module-transforms-7.23.3.tgz",
-      "integrity": "sha512-7bBs4ED9OmswdfDzpz4MpWgSrV7FXlc3zIagvLFjS5H+Mk7Snr21vQ6QwrsoCGMfNC4e4LQPdoULEt4ykz0SRQ==",
+    "node_modules/@babel/helper-function-name": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-function-name/-/helper-function-name-7.24.7.tgz",
+      "integrity": "sha512-FyoJTsj/PEUWu1/TYRiXTIHc8lbw+TDYkZuoE43opPS5TrI7MyONBE1oNvfguEXAD9yhQRrVBnXdXzSLQl9XnA==",
       "dependencies": {
-        "@babel/helper-environment-visitor": "^7.22.20",
-        "@babel/helper-module-imports": "^7.22.15",
-        "@babel/helper-simple-access": "^7.22.5",
-        "@babel/helper-split-export-declaration": "^7.22.6",
-        "@babel/helper-validator-identifier": "^7.22.20"
+        "@babel/template": "^7.24.7",
+        "@babel/types": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
-      },
-      "peerDependencies": {
-        "@babel/core": "^7.0.0"
       }
     },
-    "node_modules/@babel/helper-simple-access": {
-      "version": "7.22.5",
-      "resolved": "https://registry.npmjs.org/@babel/helper-simple-access/-/helper-simple-access-7.22.5.tgz",
-      "integrity": "sha512-n0H99E/K+Bika3++WNL17POvo4rKWZ7lZEp1Q+fStVbUi8nxPQEBOlTmCOxW/0JsS56SKKQ+ojAe2pHKJHN35w==",
+    "node_modules/@babel/helper-function-name/node_modules/@babel/types": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/types/-/types-7.24.7.tgz",
+      "integrity": "sha512-XEFXSlxiG5td2EJRe8vOmRbaXVgfcBlszKujvVmWIK/UpywWljQCfzAv3RQCGujWQ1RD4YYWEAqDXfuJiy8f5Q==",
       "dependencies": {
-        "@babel/types": "^7.22.5"
+        "@babel/helper-string-parser": "^7.24.7",
+        "@babel/helper-validator-identifier": "^7.24.7",
+        "to-fast-properties": "^2.0.0"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
-    "node_modules/@babel/helper-split-export-declaration": {
-      "version": "7.22.6",
-      "resolved": "https://registry.npmjs.org/@babel/helper-split-export-declaration/-/helper-split-export-declaration-7.22.6.tgz",
-      "integrity": "sha512-AsUnxuLhRYsisFiaJwvp1QF+I3KjD5FOxut14q/GzovUe6orHLesW2C7d754kRm53h5gqrz6sFl6sxc4BVtE/g==",
+    "node_modules/@babel/helper-hoist-variables": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-hoist-variables/-/helper-hoist-variables-7.24.7.tgz",
+      "integrity": "sha512-MJJwhkoGy5c4ehfoRyrJ/owKeMl19U54h27YYftT0o2teQ3FJ3nQUf/I3LlJsX4l3qlw7WRXUmiyajvHXoTubQ==",
       "dependencies": {
-        "@babel/types": "^7.22.5"
+        "@babel/types": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
-    "node_modules/@babel/helper-string-parser": {
-      "version": "7.23.4",
-      "resolved": "https://registry.npmjs.org/@babel/helper-string-parser/-/helper-string-parser-7.23.4.tgz",
-      "integrity": "sha512-803gmbQdqwdf4olxrX4AJyFBV/RTr3rSmOj0rKwesmzlfhYNDEs+/iOcznzpNWlJlIlTJC2QfPFcHB6DlzdVLQ==",
+    "node_modules/@babel/helper-hoist-variables/node_modules/@babel/types": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/types/-/types-7.24.7.tgz",
+      "integrity": "sha512-XEFXSlxiG5td2EJRe8vOmRbaXVgfcBlszKujvVmWIK/UpywWljQCfzAv3RQCGujWQ1RD4YYWEAqDXfuJiy8f5Q==",
+      "dependencies": {
+        "@babel/helper-string-parser": "^7.24.7",
+        "@babel/helper-validator-identifier": "^7.24.7",
+        "to-fast-properties": "^2.0.0"
+      },
       "engines": {
         "node": ">=6.9.0"
       }
     },
-    "node_modules/@babel/helper-validator-identifier": {
-      "version": "7.22.20",
-      "resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.22.20.tgz",
-      "integrity": "sha512-Y4OZ+ytlatR8AI+8KZfKuL5urKp7qey08ha31L8b3BwewJAoJamTzyvxPR/5D+KkdJCGPq/+8TukHBlY10FX9A==",
+    "node_modules/@babel/helper-member-expression-to-functions": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-member-expression-to-functions/-/helper-member-expression-to-functions-7.24.7.tgz",
+      "integrity": "sha512-LGeMaf5JN4hAT471eJdBs/GK1DoYIJ5GCtZN/EsL6KUiiDZOvO/eKE11AMZJa2zP4zk4qe9V2O/hxAmkRc8p6w==",
+      "dependencies": {
+        "@babel/traverse": "^7.24.7",
+        "@babel/types": "^7.24.7"
+      },
       "engines": {
         "node": ">=6.9.0"
       }
     },
-    "node_modules/@babel/helper-validator-option": {
-      "version": "7.23.5",
-      "resolved": "https://registry.npmjs.org/@babel/helper-validator-option/-/helper-validator-option-7.23.5.tgz",
-      "integrity": "sha512-85ttAOMLsr53VgXkTbkx8oA6YTfT4q7/HzXSLEYmjcSTJPMPQtvq1BD79Byep5xMUYbGRzEpDsjUf3dyp54IKw==",
+    "node_modules/@babel/helper-member-expression-to-functions/node_modules/@babel/types": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/types/-/types-7.24.7.tgz",
+      "integrity": "sha512-XEFXSlxiG5td2EJRe8vOmRbaXVgfcBlszKujvVmWIK/UpywWljQCfzAv3RQCGujWQ1RD4YYWEAqDXfuJiy8f5Q==",
+      "dependencies": {
+        "@babel/helper-string-parser": "^7.24.7",
+        "@babel/helper-validator-identifier": "^7.24.7",
+        "to-fast-properties": "^2.0.0"
+      },
       "engines": {
         "node": ">=6.9.0"
       }
     },
-    "node_modules/@babel/helpers": {
-      "version": "7.23.9",
-      "resolved": "https://registry.npmjs.org/@babel/helpers/-/helpers-7.23.9.tgz",
-      "integrity": "sha512-87ICKgU5t5SzOT7sBMfCOZQ2rHjRU+Pcb9BoILMYz600W6DkVRLFBPwQ18gwUVvggqXivaUakpnxWQGbpywbBQ==",
+    "node_modules/@babel/helper-module-imports": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-module-imports/-/helper-module-imports-7.24.7.tgz",
+      "integrity": "sha512-8AyH3C+74cgCVVXow/myrynrAGv+nTVg5vKu2nZph9x7RcRwzmh0VFallJuFTZ9mx6u4eSdXZfcOzSqTUm0HCA==",
       "dependencies": {
-        "@babel/template": "^7.23.9",
-        "@babel/traverse": "^7.23.9",
-        "@babel/types": "^7.23.9"
+        "@babel/traverse": "^7.24.7",
+        "@babel/types": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
-    "node_modules/@babel/highlight": {
-      "version": "7.23.4",
-      "resolved": "https://registry.npmjs.org/@babel/highlight/-/highlight-7.23.4.tgz",
-      "integrity": "sha512-acGdbYSfp2WheJoJm/EBBBLh/ID8KDc64ISZ9DYtBmC8/Q204PZJLHyzeB5qMzJ5trcOkybd78M4x2KWsUq++A==",
+    "node_modules/@babel/helper-module-imports/node_modules/@babel/types": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/types/-/types-7.24.7.tgz",
+      "integrity": "sha512-XEFXSlxiG5td2EJRe8vOmRbaXVgfcBlszKujvVmWIK/UpywWljQCfzAv3RQCGujWQ1RD4YYWEAqDXfuJiy8f5Q==",
       "dependencies": {
-        "@babel/helper-validator-identifier": "^7.22.20",
-        "chalk": "^2.4.2",
-        "js-tokens": "^4.0.0"
+        "@babel/helper-string-parser": "^7.24.7",
+        "@babel/helper-validator-identifier": "^7.24.7",
+        "to-fast-properties": "^2.0.0"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
-    "node_modules/@babel/highlight/node_modules/ansi-styles": {
-      "version": "3.2.1",
-      "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-3.2.1.tgz",
-      "integrity": "sha512-VT0ZI6kZRdTh8YyJw3SMbYm/u+NqfsAxEpWO0Pf9sq8/e94WxxOpPKx9FR1FlyCtOVDNOQ+8ntlqFxiRc+r5qA==",
+    "node_modules/@babel/helper-module-transforms": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-module-transforms/-/helper-module-transforms-7.24.7.tgz",
+      "integrity": "sha512-1fuJEwIrp+97rM4RWdO+qrRsZlAeL1lQJoPqtCYWv0NL115XM93hIH4CSRln2w52SqvmY5hqdtauB6QFCDiZNQ==",
       "dependencies": {
-        "color-convert": "^1.9.0"
+        "@babel/helper-environment-visitor": "^7.24.7",
+        "@babel/helper-module-imports": "^7.24.7",
+        "@babel/helper-simple-access": "^7.24.7",
+        "@babel/helper-split-export-declaration": "^7.24.7",
+        "@babel/helper-validator-identifier": "^7.24.7"
       },
       "engines": {
-        "node": ">=4"
+        "node": ">=6.9.0"
+      },
+      "peerDependencies": {
+        "@babel/core": "^7.0.0"
       }
     },
-    "node_modules/@babel/highlight/node_modules/chalk": {
-      "version": "2.4.2",
-      "resolved": "https://registry.npmjs.org/chalk/-/chalk-2.4.2.tgz",
-      "integrity": "sha512-Mti+f9lpJNcwF4tWV8/OrTTtF1gZi+f8FqlyAdouralcFWFQWF2+NgCHShjkCb+IFBLq9buZwE1xckQU4peSuQ==",
+    "node_modules/@babel/helper-optimise-call-expression": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-optimise-call-expression/-/helper-optimise-call-expression-7.24.7.tgz",
+      "integrity": "sha512-jKiTsW2xmWwxT1ixIdfXUZp+P5yURx2suzLZr5Hi64rURpDYdMW0pv+Uf17EYk2Rd428Lx4tLsnjGJzYKDM/6A==",
       "dependencies": {
-        "ansi-styles": "^3.2.1",
-        "escape-string-regexp": "^1.0.5",
-        "supports-color": "^5.3.0"
+        "@babel/types": "^7.24.7"
       },
       "engines": {
-        "node": ">=4"
+        "node": ">=6.9.0"
       }
     },
-    "node_modules/@babel/highlight/node_modules/color-convert": {
-      "version": "1.9.3",
-      "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-1.9.3.tgz",
-      "integrity": "sha512-QfAUtd+vFdAtFQcC8CCyYt1fYWxSqAiK2cSD6zDB8N3cpsEBAvRxp9zOGg6G/SHHJYAT88/az/IuDGALsNVbGg==",
+    "node_modules/@babel/helper-optimise-call-expression/node_modules/@babel/types": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/types/-/types-7.24.7.tgz",
+      "integrity": "sha512-XEFXSlxiG5td2EJRe8vOmRbaXVgfcBlszKujvVmWIK/UpywWljQCfzAv3RQCGujWQ1RD4YYWEAqDXfuJiy8f5Q==",
       "dependencies": {
-        "color-name": "1.1.3"
+        "@babel/helper-string-parser": "^7.24.7",
+        "@babel/helper-validator-identifier": "^7.24.7",
+        "to-fast-properties": "^2.0.0"
+      },
+      "engines": {
+        "node": ">=6.9.0"
       }
     },
-    "node_modules/@babel/highlight/node_modules/color-name": {
-      "version": "1.1.3",
-      "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.3.tgz",
-      "integrity": "sha512-72fSenhMw2HZMTVHeCA9KCmpEIbzWiQsjN+BHcBbS9vr1mtt+vJjPdksIBNUmKAW8TFUDPJK5SUU3QhE9NEXDw=="
-    },
-    "node_modules/@babel/highlight/node_modules/escape-string-regexp": {
-      "version": "1.0.5",
-      "resolved": "https://registry.npmjs.org/escape-string-regexp/-/escape-string-regexp-1.0.5.tgz",
-      "integrity": "sha512-vbRorB5FUQWvla16U8R/qgaFIya2qGzwDrNmCZuYKrbdSUMG6I1ZCGQRefkRVhuOkIGVne7BQ35DSfo1qvJqFg==",
+    "node_modules/@babel/helper-plugin-utils": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-plugin-utils/-/helper-plugin-utils-7.24.7.tgz",
+      "integrity": "sha512-Rq76wjt7yz9AAc1KnlRKNAi/dMSVWgDRx43FHoJEbcYU6xOWaE2dVPwcdTukJrjxS65GITyfbvEYHvkirZ6uEg==",
       "engines": {
-        "node": ">=0.8.0"
+        "node": ">=6.9.0"
       }
     },
-    "node_modules/@babel/highlight/node_modules/has-flag": {
-      "version": "3.0.0",
-      "resolved": "https://registry.npmjs.org/has-flag/-/has-flag-3.0.0.tgz",
-      "integrity": "sha512-sKJf1+ceQBr4SMkvQnBDNDtf4TXpVhVGateu0t918bl30FnbE2m4vNLX+VWe/dpjlb+HugGYzW7uQXH98HPEYw==",
+    "node_modules/@babel/helper-replace-supers": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-replace-supers/-/helper-replace-supers-7.24.7.tgz",
+      "integrity": "sha512-qTAxxBM81VEyoAY0TtLrx1oAEJc09ZK67Q9ljQToqCnA+55eNwCORaxlKyu+rNfX86o8OXRUSNUnrtsAZXM9sg==",
+      "dependencies": {
+        "@babel/helper-environment-visitor": "^7.24.7",
+        "@babel/helper-member-expression-to-functions": "^7.24.7",
+        "@babel/helper-optimise-call-expression": "^7.24.7"
+      },
       "engines": {
-        "node": ">=4"
+        "node": ">=6.9.0"
+      },
+      "peerDependencies": {
+        "@babel/core": "^7.0.0"
       }
     },
-    "node_modules/@babel/highlight/node_modules/supports-color": {
-      "version": "5.5.0",
-      "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-5.5.0.tgz",
-      "integrity": "sha512-QjVjwdXIt408MIiAqCX4oUKsgU2EqAGzs2Ppkm4aQYbjm+ZEWEcW4SfFNTr4uMNZma0ey4f5lgLrkB0aX0QMow==",
+    "node_modules/@babel/helper-simple-access": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-simple-access/-/helper-simple-access-7.24.7.tgz",
+      "integrity": "sha512-zBAIvbCMh5Ts+b86r/CjU+4XGYIs+R1j951gxI3KmmxBMhCg4oQMsv6ZXQ64XOm/cvzfU1FmoCyt6+owc5QMYg==",
       "dependencies": {
-        "has-flag": "^3.0.0"
+        "@babel/traverse": "^7.24.7",
+        "@babel/types": "^7.24.7"
       },
       "engines": {
-        "node": ">=4"
+        "node": ">=6.9.0"
       }
     },
-    "node_modules/@babel/parser": {
-      "version": "7.23.9",
-      "resolved": "https://registry.npmjs.org/@babel/parser/-/parser-7.23.9.tgz",
-      "integrity": "sha512-9tcKgqKbs3xGJ+NtKF2ndOBBLVwPjl1SHxPQkd36r3Dlirw3xWUeGaTbqr7uGZcTaxkVNwc+03SVP7aCdWrTlA==",
-      "bin": {
-        "parser": "bin/babel-parser.js"
+    "node_modules/@babel/helper-simple-access/node_modules/@babel/types": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/types/-/types-7.24.7.tgz",
+      "integrity": "sha512-XEFXSlxiG5td2EJRe8vOmRbaXVgfcBlszKujvVmWIK/UpywWljQCfzAv3RQCGujWQ1RD4YYWEAqDXfuJiy8f5Q==",
+      "dependencies": {
+        "@babel/helper-string-parser": "^7.24.7",
+        "@babel/helper-validator-identifier": "^7.24.7",
+        "to-fast-properties": "^2.0.0"
       },
       "engines": {
-        "node": ">=6.0.0"
+        "node": ">=6.9.0"
       }
     },
-    "node_modules/@babel/runtime": {
-      "version": "7.23.9",
-      "resolved": "https://registry.npmjs.org/@babel/runtime/-/runtime-7.23.9.tgz",
-      "integrity": "sha512-0CX6F+BI2s9dkUqr08KFrAIZgNFj75rdBU/DjCyYLIaV/quFjkk6T+EJ2LkZHyZTbEV4L5p97mNkUsHl2wLFAw==",
+    "node_modules/@babel/helper-skip-transparent-expression-wrappers": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-skip-transparent-expression-wrappers/-/helper-skip-transparent-expression-wrappers-7.24.7.tgz",
+      "integrity": "sha512-IO+DLT3LQUElMbpzlatRASEyQtfhSE0+m465v++3jyyXeBTBUjtVZg28/gHeV5mrTJqvEKhKroBGAvhW+qPHiQ==",
       "dependencies": {
-        "regenerator-runtime": "^0.14.0"
+        "@babel/traverse": "^7.24.7",
+        "@babel/types": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
-    "node_modules/@babel/template": {
-      "version": "7.23.9",
-      "resolved": "https://registry.npmjs.org/@babel/template/-/template-7.23.9.tgz",
-      "integrity": "sha512-+xrD2BWLpvHKNmX2QbpdpsBaWnRxahMwJjO+KZk2JOElj5nSmKezyS1B4u+QbHMTX69t4ukm6hh9lsYQ7GHCKA==",
+    "node_modules/@babel/helper-skip-transparent-expression-wrappers/node_modules/@babel/types": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/types/-/types-7.24.7.tgz",
+      "integrity": "sha512-XEFXSlxiG5td2EJRe8vOmRbaXVgfcBlszKujvVmWIK/UpywWljQCfzAv3RQCGujWQ1RD4YYWEAqDXfuJiy8f5Q==",
       "dependencies": {
-        "@babel/code-frame": "^7.23.5",
-        "@babel/parser": "^7.23.9",
-        "@babel/types": "^7.23.9"
+        "@babel/helper-string-parser": "^7.24.7",
+        "@babel/helper-validator-identifier": "^7.24.7",
+        "to-fast-properties": "^2.0.0"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
-    "node_modules/@babel/traverse": {
-      "version": "7.23.9",
-      "resolved": "https://registry.npmjs.org/@babel/traverse/-/traverse-7.23.9.tgz",
-      "integrity": "sha512-I/4UJ9vs90OkBtY6iiiTORVMyIhJ4kAVmsKo9KFc8UOxMeUfi2hvtIBsET5u9GizXE6/GFSuKCTNfgCswuEjRg==",
-      "dependencies": {
-        "@babel/code-frame": "^7.23.5",
-        "@babel/generator": "^7.23.6",
-        "@babel/helper-environment-visitor": "^7.22.20",
-        "@babel/helper-function-name": "^7.23.0",
-        "@babel/helper-hoist-variables": "^7.22.5",
-        "@babel/helper-split-export-declaration": "^7.22.6",
-        "@babel/parser": "^7.23.9",
-        "@babel/types": "^7.23.9",
-        "debug": "^4.3.1",
-        "globals": "^11.1.0"
+    "node_modules/@babel/helper-split-export-declaration": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-split-export-declaration/-/helper-split-export-declaration-7.24.7.tgz",
+      "integrity": "sha512-oy5V7pD+UvfkEATUKvIjvIAH/xCzfsFVw7ygW2SI6NClZzquT+mwdTfgfdbUiceh6iQO0CHtCPsyze/MZ2YbAA==",
+      "dependencies": {
+        "@babel/types": "^7.24.7"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
-    "node_modules/@babel/types": {
-      "version": "7.23.9",
-      "resolved": "https://registry.npmjs.org/@babel/types/-/types-7.23.9.tgz",
-      "integrity": "sha512-dQjSq/7HaSjRM43FFGnv5keM2HsxpmyV1PfaSVm0nzzjwwTmjOe6J4bC8e3+pTEIgHaHj+1ZlLThRJ2auc/w1Q==",
+    "node_modules/@babel/helper-split-export-declaration/node_modules/@babel/types": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/types/-/types-7.24.7.tgz",
+      "integrity": "sha512-XEFXSlxiG5td2EJRe8vOmRbaXVgfcBlszKujvVmWIK/UpywWljQCfzAv3RQCGujWQ1RD4YYWEAqDXfuJiy8f5Q==",
       "dependencies": {
-        "@babel/helper-string-parser": "^7.23.4",
-        "@babel/helper-validator-identifier": "^7.22.20",
+        "@babel/helper-string-parser": "^7.24.7",
+        "@babel/helper-validator-identifier": "^7.24.7",
         "to-fast-properties": "^2.0.0"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
-    "node_modules/@emotion/babel-plugin": {
-      "version": "11.11.0",
-      "resolved": "https://registry.npmjs.org/@emotion/babel-plugin/-/babel-plugin-11.11.0.tgz",
-      "integrity": "sha512-m4HEDZleaaCH+XgDDsPF15Ht6wTLsgDTeR3WYj9Q/k76JtWhrJjcP4+/XlG8LGT/Rol9qUfOIztXeA84ATpqPQ==",
-      "dependencies": {
-        "@babel/helper-module-imports": "^7.16.7",
-        "@babel/runtime": "^7.18.3",
-        "@emotion/hash": "^0.9.1",
-        "@emotion/memoize": "^0.8.1",
-        "@emotion/serialize": "^1.1.2",
-        "babel-plugin-macros": "^3.1.0",
-        "convert-source-map": "^1.5.0",
-        "escape-string-regexp": "^4.0.0",
-        "find-root": "^1.1.0",
-        "source-map": "^0.5.7",
-        "stylis": "4.2.0"
+    "node_modules/@babel/helper-string-parser": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-string-parser/-/helper-string-parser-7.24.7.tgz",
+      "integrity": "sha512-7MbVt6xrwFQbunH2DNQsAP5sTGxfqQtErvBIvIMi6EQnbgUOuVYanvREcmFrOPhoXBrTtjhhP+lW+o5UfK+tDg==",
+      "engines": {
+        "node": ">=6.9.0"
       }
     },
-    "node_modules/@emotion/cache": {
-      "version": "11.11.0",
-      "resolved": "https://registry.npmjs.org/@emotion/cache/-/cache-11.11.0.tgz",
-      "integrity": "sha512-P34z9ssTCBi3e9EI1ZsWpNHcfY1r09ZO0rZbRO2ob3ZQMnFI35jB536qoXbkdesr5EUhYi22anuEJuyxifaqAQ==",
-      "dependencies": {
-        "@emotion/memoize": "^0.8.1",
-        "@emotion/sheet": "^1.2.2",
-        "@emotion/utils": "^1.2.1",
-        "@emotion/weak-memoize": "^0.3.1",
-        "stylis": "4.2.0"
+    "node_modules/@babel/helper-validator-identifier": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.24.7.tgz",
+      "integrity": "sha512-rR+PBcQ1SMQDDyF6X0wxtG8QyLCgUB0eRAGguqRLfkCA87l7yAP7ehq8SNj96OOGTO8OBV70KhuFYcIkHXOg0w==",
+      "engines": {
+        "node": ">=6.9.0"
       }
     },
-    "node_modules/@emotion/hash": {
-      "version": "0.9.1",
-      "resolved": "https://registry.npmjs.org/@emotion/hash/-/hash-0.9.1.tgz",
-      "integrity": "sha512-gJB6HLm5rYwSLI6PQa+X1t5CFGrv1J1TWG+sOyMCeKz2ojaj6Fnl/rZEspogG+cvqbt4AE/2eIyD2QfLKTBNlQ=="
+    "node_modules/@babel/helper-validator-option": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-validator-option/-/helper-validator-option-7.24.7.tgz",
+      "integrity": "sha512-yy1/KvjhV/ZCL+SM7hBrvnZJ3ZuT9OuZgIJAGpPEToANvc3iM6iDvBnRjtElWibHU6n8/LPR/EjX9EtIEYO3pw==",
+      "engines": {
+        "node": ">=6.9.0"
+      }
     },
-    "node_modules/@emotion/is-prop-valid": {
-      "version": "1.2.1",
-      "resolved": "https://registry.npmjs.org/@emotion/is-prop-valid/-/is-prop-valid-1.2.1.tgz",
-      "integrity": "sha512-61Mf7Ufx4aDxx1xlDeOm8aFFigGHE4z+0sKCa+IHCeZKiyP9RLD0Mmx7m8b9/Cf37f7NAvQOOJAbQQGVr5uERw==",
+    "node_modules/@babel/helpers": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helpers/-/helpers-7.24.7.tgz",
+      "integrity": "sha512-NlmJJtvcw72yRJRcnCmGvSi+3jDEg8qFu3z0AFoymmzLx5ERVWyzd9kVXr7Th9/8yIJi2Zc6av4Tqz3wFs8QWg==",
       "dependencies": {
-        "@emotion/memoize": "^0.8.1"
+        "@babel/template": "^7.24.7",
+        "@babel/types": "^7.24.7"
+      },
+      "engines": {
+        "node": ">=6.9.0"
       }
     },
-    "node_modules/@emotion/memoize": {
-      "version": "0.8.1",
-      "resolved": "https://registry.npmjs.org/@emotion/memoize/-/memoize-0.8.1.tgz",
-      "integrity": "sha512-W2P2c/VRW1/1tLox0mVUalvnWXxavmv/Oum2aPsRcoDJuob75FC3Y8FbpfLwUegRcxINtGUMPq0tFCvYNTBXNA=="
-    },
-    "node_modules/@emotion/react": {
-      "version": "11.11.3",
-      "resolved": "https://registry.npmjs.org/@emotion/react/-/react-11.11.3.tgz",
-      "integrity": "sha512-Cnn0kuq4DoONOMcnoVsTOR8E+AdnKFf//6kUWc4LCdnxj31pZWn7rIULd6Y7/Js1PiPHzn7SKCM9vB/jBni8eA==",
+    "node_modules/@babel/helpers/node_modules/@babel/types": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/types/-/types-7.24.7.tgz",
+      "integrity": "sha512-XEFXSlxiG5td2EJRe8vOmRbaXVgfcBlszKujvVmWIK/UpywWljQCfzAv3RQCGujWQ1RD4YYWEAqDXfuJiy8f5Q==",
       "dependencies": {
-        "@babel/runtime": "^7.18.3",
-        "@emotion/babel-plugin": "^11.11.0",
-        "@emotion/cache": "^11.11.0",
-        "@emotion/serialize": "^1.1.3",
-        "@emotion/use-insertion-effect-with-fallbacks": "^1.0.1",
-        "@emotion/utils": "^1.2.1",
-        "@emotion/weak-memoize": "^0.3.1",
-        "hoist-non-react-statics": "^3.3.1"
-      },
-      "peerDependencies": {
-        "react": ">=16.8.0"
+        "@babel/helper-string-parser": "^7.24.7",
+        "@babel/helper-validator-identifier": "^7.24.7",
+        "to-fast-properties": "^2.0.0"
       },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        }
+      "engines": {
+        "node": ">=6.9.0"
       }
     },
-    "node_modules/@emotion/serialize": {
-      "version": "1.1.3",
-      "resolved": "https://registry.npmjs.org/@emotion/serialize/-/serialize-1.1.3.tgz",
-      "integrity": "sha512-iD4D6QVZFDhcbH0RAG1uVu1CwVLMWUkCvAqqlewO/rxf8+87yIBAlt4+AxMiiKPLs5hFc0owNk/sLLAOROw3cA==",
+    "node_modules/@babel/highlight": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/highlight/-/highlight-7.24.7.tgz",
+      "integrity": "sha512-EStJpq4OuY8xYfhGVXngigBJRWxftKX9ksiGDnmlY3o7B/V7KIAc9X4oiK87uPJSc/vs5L869bem5fhZa8caZw==",
       "dependencies": {
-        "@emotion/hash": "^0.9.1",
-        "@emotion/memoize": "^0.8.1",
-        "@emotion/unitless": "^0.8.1",
-        "@emotion/utils": "^1.2.1",
-        "csstype": "^3.0.2"
+        "@babel/helper-validator-identifier": "^7.24.7",
+        "chalk": "^2.4.2",
+        "js-tokens": "^4.0.0",
+        "picocolors": "^1.0.0"
+      },
+      "engines": {
+        "node": ">=6.9.0"
       }
     },
-    "node_modules/@emotion/sheet": {
-      "version": "1.2.2",
-      "resolved": "https://registry.npmjs.org/@emotion/sheet/-/sheet-1.2.2.tgz",
-      "integrity": "sha512-0QBtGvaqtWi+nx6doRwDdBIzhNdZrXUppvTM4dtZZWEGTXL/XE/yJxLMGlDT1Gt+UHH5IX1n+jkXyytE/av7OA=="
-    },
-    "node_modules/@emotion/styled": {
-      "version": "11.11.0",
-      "resolved": "https://registry.npmjs.org/@emotion/styled/-/styled-11.11.0.tgz",
-      "integrity": "sha512-hM5Nnvu9P3midq5aaXj4I+lnSfNi7Pmd4EWk1fOZ3pxookaQTNew6bp4JaCBYM4HVFZF9g7UjJmsUmC2JlxOng==",
-      "dependencies": {
-        "@babel/runtime": "^7.18.3",
-        "@emotion/babel-plugin": "^11.11.0",
-        "@emotion/is-prop-valid": "^1.2.1",
-        "@emotion/serialize": "^1.1.2",
-        "@emotion/use-insertion-effect-with-fallbacks": "^1.0.1",
-        "@emotion/utils": "^1.2.1"
+    "node_modules/@babel/parser": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/parser/-/parser-7.24.7.tgz",
+      "integrity": "sha512-9uUYRm6OqQrCqQdG1iCBwBPZgN8ciDBro2nIOFaiRz1/BCxaI7CNvQbDHvsArAC7Tw9Hda/B3U+6ui9u4HWXPw==",
+      "bin": {
+        "parser": "bin/babel-parser.js"
       },
-      "peerDependencies": {
-        "@emotion/react": "^11.0.0-rc.0",
-        "react": ">=16.8.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        }
+      "engines": {
+        "node": ">=6.0.0"
       }
     },
-    "node_modules/@emotion/unitless": {
-      "version": "0.8.1",
-      "resolved": "https://registry.npmjs.org/@emotion/unitless/-/unitless-0.8.1.tgz",
-      "integrity": "sha512-KOEGMu6dmJZtpadb476IsZBclKvILjopjUii3V+7MnXIQCYh8W3NgNcgwo21n9LXZX6EDIKvqfjYxXebDwxKmQ=="
+    "node_modules/@babel/plugin-syntax-typescript": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-syntax-typescript/-/plugin-syntax-typescript-7.24.7.tgz",
+      "integrity": "sha512-c/+fVeJBB0FeKsFvwytYiUD+LBvhHjGSI0g446PRGdSVGZLRNArBUno2PETbAly3tpiNAQR5XaZ+JslxkotsbA==",
+      "dependencies": {
+        "@babel/helper-plugin-utils": "^7.24.7"
+      },
+      "engines": {
+        "node": ">=6.9.0"
+      },
+      "peerDependencies": {
+        "@babel/core": "^7.0.0-0"
+      }
     },
-    "node_modules/@emotion/use-insertion-effect-with-fallbacks": {
-      "version": "1.0.1",
-      "resolved": "https://registry.npmjs.org/@emotion/use-insertion-effect-with-fallbacks/-/use-insertion-effect-with-fallbacks-1.0.1.tgz",
-      "integrity": "sha512-jT/qyKZ9rzLErtrjGgdkMBn2OP8wl0G3sQlBb3YPryvKHsjvINUhVaPFfP+fpBcOkmrVOVEEHQFJ7nbj2TH2gw==",
+    "node_modules/@babel/plugin-transform-typescript": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-typescript/-/plugin-transform-typescript-7.24.7.tgz",
+      "integrity": "sha512-iLD3UNkgx2n/HrjBesVbYX6j0yqn/sJktvbtKKgcaLIQ4bTTQ8obAypc1VpyHPD2y4Phh9zHOaAt8e/L14wCpw==",
+      "dependencies": {
+        "@babel/helper-annotate-as-pure": "^7.24.7",
+        "@babel/helper-create-class-features-plugin": "^7.24.7",
+        "@babel/helper-plugin-utils": "^7.24.7",
+        "@babel/plugin-syntax-typescript": "^7.24.7"
+      },
+      "engines": {
+        "node": ">=6.9.0"
+      },
       "peerDependencies": {
-        "react": ">=16.8.0"
+        "@babel/core": "^7.0.0-0"
       }
     },
-    "node_modules/@emotion/utils": {
-      "version": "1.2.1",
-      "resolved": "https://registry.npmjs.org/@emotion/utils/-/utils-1.2.1.tgz",
-      "integrity": "sha512-Y2tGf3I+XVnajdItskUCn6LX+VUDmP6lTL4fcqsXAv43dnlbZiuW4MWQW38rW/BVWSE7Q/7+XQocmpnRYILUmg=="
+    "node_modules/@babel/runtime": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/runtime/-/runtime-7.24.7.tgz",
+      "integrity": "sha512-UwgBRMjJP+xv857DCngvqXI3Iq6J4v0wXmwc6sapg+zyhbwmQX67LUEFrkK5tbyJ30jGuG3ZvWpBiB9LCy1kWw==",
+      "dependencies": {
+        "regenerator-runtime": "^0.14.0"
+      },
+      "engines": {
+        "node": ">=6.9.0"
+      }
+    },
+    "node_modules/@babel/template": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/template/-/template-7.24.7.tgz",
+      "integrity": "sha512-jYqfPrU9JTF0PmPy1tLYHW4Mp4KlgxJD9l2nP9fD6yT/ICi554DmrWBAEYpIelzjHf1msDP3PxJIRt/nFNfBig==",
+      "dependencies": {
+        "@babel/code-frame": "^7.24.7",
+        "@babel/parser": "^7.24.7",
+        "@babel/types": "^7.24.7"
+      },
+      "engines": {
+        "node": ">=6.9.0"
+      }
+    },
+    "node_modules/@babel/template/node_modules/@babel/types": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/types/-/types-7.24.7.tgz",
+      "integrity": "sha512-XEFXSlxiG5td2EJRe8vOmRbaXVgfcBlszKujvVmWIK/UpywWljQCfzAv3RQCGujWQ1RD4YYWEAqDXfuJiy8f5Q==",
+      "dependencies": {
+        "@babel/helper-string-parser": "^7.24.7",
+        "@babel/helper-validator-identifier": "^7.24.7",
+        "to-fast-properties": "^2.0.0"
+      },
+      "engines": {
+        "node": ">=6.9.0"
+      }
+    },
+    "node_modules/@babel/traverse": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/traverse/-/traverse-7.24.7.tgz",
+      "integrity": "sha512-yb65Ed5S/QAcewNPh0nZczy9JdYXkkAbIsEo+P7BE7yO3txAY30Y/oPa3QkQ5It3xVG2kpKMg9MsdxZaO31uKA==",
+      "dependencies": {
+        "@babel/code-frame": "^7.24.7",
+        "@babel/generator": "^7.24.7",
+        "@babel/helper-environment-visitor": "^7.24.7",
+        "@babel/helper-function-name": "^7.24.7",
+        "@babel/helper-hoist-variables": "^7.24.7",
+        "@babel/helper-split-export-declaration": "^7.24.7",
+        "@babel/parser": "^7.24.7",
+        "@babel/types": "^7.24.7",
+        "debug": "^4.3.1",
+        "globals": "^11.1.0"
+      },
+      "engines": {
+        "node": ">=6.9.0"
+      }
+    },
+    "node_modules/@babel/traverse/node_modules/@babel/types": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/types/-/types-7.24.7.tgz",
+      "integrity": "sha512-XEFXSlxiG5td2EJRe8vOmRbaXVgfcBlszKujvVmWIK/UpywWljQCfzAv3RQCGujWQ1RD4YYWEAqDXfuJiy8f5Q==",
+      "dependencies": {
+        "@babel/helper-string-parser": "^7.24.7",
+        "@babel/helper-validator-identifier": "^7.24.7",
+        "to-fast-properties": "^2.0.0"
+      },
+      "engines": {
+        "node": ">=6.9.0"
+      }
+    },
+    "node_modules/@babel/types": {
+      "version": "7.24.6",
+      "resolved": "https://registry.npmjs.org/@babel/types/-/types-7.24.6.tgz",
+      "integrity": "sha512-WaMsgi6Q8zMgMth93GvWPXkhAIEobfsIkLTacoVZoK1J0CevIPGYY2Vo5YvJGqyHqXM6P4ppOYGsIRU8MM9pFQ==",
+      "dependencies": {
+        "@babel/helper-string-parser": "^7.24.6",
+        "@babel/helper-validator-identifier": "^7.24.6",
+        "to-fast-properties": "^2.0.0"
+      },
+      "engines": {
+        "node": ">=6.9.0"
+      }
+    },
+    "node_modules/@clack/core": {
+      "version": "0.3.4",
+      "resolved": "https://registry.npmjs.org/@clack/core/-/core-0.3.4.tgz",
+      "integrity": "sha512-H4hxZDXgHtWTwV3RAVenqcC4VbJZNegbBjlPvzOzCouXtS2y3sDvlO3IsbrPNWuLWPPlYVYPghQdSF64683Ldw==",
+      "dependencies": {
+        "picocolors": "^1.0.0",
+        "sisteransi": "^1.0.5"
+      }
+    },
+    "node_modules/@clack/prompts": {
+      "version": "0.7.0",
+      "resolved": "https://registry.npmjs.org/@clack/prompts/-/prompts-0.7.0.tgz",
+      "integrity": "sha512-0MhX9/B4iL6Re04jPrttDm+BsP8y6mS7byuv0BvXgdXhbV5PdlsHt55dvNsuBCPZ7xq1oTAOOuotR9NFbQyMSA==",
+      "bundleDependencies": [
+        "is-unicode-supported"
+      ],
+      "dependencies": {
+        "@clack/core": "^0.3.3",
+        "is-unicode-supported": "*",
+        "picocolors": "^1.0.0",
+        "sisteransi": "^1.0.5"
+      }
+    },
+    "node_modules/@clack/prompts/node_modules/is-unicode-supported": {
+      "version": "1.3.0",
+      "inBundle": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">=12"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
+      }
     },
-    "node_modules/@emotion/weak-memoize": {
-      "version": "0.3.1",
-      "resolved": "https://registry.npmjs.org/@emotion/weak-memoize/-/weak-memoize-0.3.1.tgz",
-      "integrity": "sha512-EsBwpc7hBUJWAsNPBmJy4hxWx12v6bshQsldrVmjxJoc3isbxhOrF2IcCpaXxfvq03NwkI7sbsOLXbYuqF/8Ww=="
+    "node_modules/@esbuild/aix-ppc64": {
+      "version": "0.21.5",
+      "resolved": "https://registry.npmjs.org/@esbuild/aix-ppc64/-/aix-ppc64-0.21.5.tgz",
+      "integrity": "sha512-1SDgH6ZSPTlggy1yI6+Dbkiz8xzpHJEVAlF/AM1tHPLsf5STom9rwtjE4hKAF20FfXXNTFqEYXyJNWh1GiZedQ==",
+      "cpu": [
+        "ppc64"
+      ],
+      "optional": true,
+      "os": [
+        "aix"
+      ],
+      "engines": {
+        "node": ">=12"
+      }
     },
     "node_modules/@esbuild/android-arm": {
-      "version": "0.17.19",
-      "resolved": "https://registry.npmjs.org/@esbuild/android-arm/-/android-arm-0.17.19.tgz",
-      "integrity": "sha512-rIKddzqhmav7MSmoFCmDIb6e2W57geRsM94gV2l38fzhXMwq7hZoClug9USI2pFRGL06f4IOPHHpFNOkWieR8A==",
+      "version": "0.21.5",
+      "resolved": "https://registry.npmjs.org/@esbuild/android-arm/-/android-arm-0.21.5.tgz",
+      "integrity": "sha512-vCPvzSjpPHEi1siZdlvAlsPxXl7WbOVUBBAowWug4rJHb68Ox8KualB+1ocNvT5fjv6wpkX6o/iEpbDrf68zcg==",
       "cpu": [
         "arm"
       ],
@@ -734,9 +827,9 @@
       }
     },
     "node_modules/@esbuild/android-arm64": {
-      "version": "0.17.19",
-      "resolved": "https://registry.npmjs.org/@esbuild/android-arm64/-/android-arm64-0.17.19.tgz",
-      "integrity": "sha512-KBMWvEZooR7+kzY0BtbTQn0OAYY7CsiydT63pVEaPtVYF0hXbUaOyZog37DKxK7NF3XacBJOpYT4adIJh+avxA==",
+      "version": "0.21.5",
+      "resolved": "https://registry.npmjs.org/@esbuild/android-arm64/-/android-arm64-0.21.5.tgz",
+      "integrity": "sha512-c0uX9VAUBQ7dTDCjq+wdyGLowMdtR/GoC2U5IYk/7D1H1JYC0qseD7+11iMP2mRLN9RcCMRcjC4YMclCzGwS/A==",
       "cpu": [
         "arm64"
       ],
@@ -749,9 +842,9 @@
       }
     },
     "node_modules/@esbuild/android-x64": {
-      "version": "0.17.19",
-      "resolved": "https://registry.npmjs.org/@esbuild/android-x64/-/android-x64-0.17.19.tgz",
-      "integrity": "sha512-uUTTc4xGNDT7YSArp/zbtmbhO0uEEK9/ETW29Wk1thYUJBz3IVnvgEiEwEa9IeLyvnpKrWK64Utw2bgUmDveww==",
+      "version": "0.21.5",
+      "resolved": "https://registry.npmjs.org/@esbuild/android-x64/-/android-x64-0.21.5.tgz",
+      "integrity": "sha512-D7aPRUUNHRBwHxzxRvp856rjUHRFW1SdQATKXH2hqA0kAZb1hKmi02OpYRacl0TxIGz/ZmXWlbZgjwWYaCakTA==",
       "cpu": [
         "x64"
       ],
@@ -764,9 +857,9 @@
       }
     },
     "node_modules/@esbuild/darwin-arm64": {
-      "version": "0.17.19",
-      "resolved": "https://registry.npmjs.org/@esbuild/darwin-arm64/-/darwin-arm64-0.17.19.tgz",
-      "integrity": "sha512-80wEoCfF/hFKM6WE1FyBHc9SfUblloAWx6FJkFWTWiCoht9Mc0ARGEM47e67W9rI09YoUxJL68WHfDRYEAvOhg==",
+      "version": "0.21.5",
+      "resolved": "https://registry.npmjs.org/@esbuild/darwin-arm64/-/darwin-arm64-0.21.5.tgz",
+      "integrity": "sha512-DwqXqZyuk5AiWWf3UfLiRDJ5EDd49zg6O9wclZ7kUMv2WRFr4HKjXp/5t8JZ11QbQfUS6/cRCKGwYhtNAY88kQ==",
       "cpu": [
         "arm64"
       ],
@@ -779,9 +872,9 @@
       }
     },
     "node_modules/@esbuild/darwin-x64": {
-      "version": "0.17.19",
-      "resolved": "https://registry.npmjs.org/@esbuild/darwin-x64/-/darwin-x64-0.17.19.tgz",
-      "integrity": "sha512-IJM4JJsLhRYr9xdtLytPLSH9k/oxR3boaUIYiHkAawtwNOXKE8KoU8tMvryogdcT8AU+Bflmh81Xn6Q0vTZbQw==",
+      "version": "0.21.5",
+      "resolved": "https://registry.npmjs.org/@esbuild/darwin-x64/-/darwin-x64-0.21.5.tgz",
+      "integrity": "sha512-se/JjF8NlmKVG4kNIuyWMV/22ZaerB+qaSi5MdrXtd6R08kvs2qCN4C09miupktDitvh8jRFflwGFBQcxZRjbw==",
       "cpu": [
         "x64"
       ],
@@ -794,9 +887,9 @@
       }
     },
     "node_modules/@esbuild/freebsd-arm64": {
-      "version": "0.17.19",
-      "resolved": "https://registry.npmjs.org/@esbuild/freebsd-arm64/-/freebsd-arm64-0.17.19.tgz",
-      "integrity": "sha512-pBwbc7DufluUeGdjSU5Si+P3SoMF5DQ/F/UmTSb8HXO80ZEAJmrykPyzo1IfNbAoaqw48YRpv8shwd1NoI0jcQ==",
+      "version": "0.21.5",
+      "resolved": "https://registry.npmjs.org/@esbuild/freebsd-arm64/-/freebsd-arm64-0.21.5.tgz",
+      "integrity": "sha512-5JcRxxRDUJLX8JXp/wcBCy3pENnCgBR9bN6JsY4OmhfUtIHe3ZW0mawA7+RDAcMLrMIZaf03NlQiX9DGyB8h4g==",
       "cpu": [
         "arm64"
       ],
@@ -809,9 +902,9 @@
       }
     },
     "node_modules/@esbuild/freebsd-x64": {
-      "version": "0.17.19",
-      "resolved": "https://registry.npmjs.org/@esbuild/freebsd-x64/-/freebsd-x64-0.17.19.tgz",
-      "integrity": "sha512-4lu+n8Wk0XlajEhbEffdy2xy53dpR06SlzvhGByyg36qJw6Kpfk7cp45DR/62aPH9mtJRmIyrXAS5UWBrJT6TQ==",
+      "version": "0.21.5",
+      "resolved": "https://registry.npmjs.org/@esbuild/freebsd-x64/-/freebsd-x64-0.21.5.tgz",
+      "integrity": "sha512-J95kNBj1zkbMXtHVH29bBriQygMXqoVQOQYA+ISs0/2l3T9/kj42ow2mpqerRBxDJnmkUDCaQT/dfNXWX/ZZCQ==",
       "cpu": [
         "x64"
       ],
@@ -824,9 +917,9 @@
       }
     },
     "node_modules/@esbuild/linux-arm": {
-      "version": "0.17.19",
-      "resolved": "https://registry.npmjs.org/@esbuild/linux-arm/-/linux-arm-0.17.19.tgz",
-      "integrity": "sha512-cdmT3KxjlOQ/gZ2cjfrQOtmhG4HJs6hhvm3mWSRDPtZ/lP5oe8FWceS10JaSJC13GBd4eH/haHnqf7hhGNLerA==",
+      "version": "0.21.5",
+      "resolved": "https://registry.npmjs.org/@esbuild/linux-arm/-/linux-arm-0.21.5.tgz",
+      "integrity": "sha512-bPb5AHZtbeNGjCKVZ9UGqGwo8EUu4cLq68E95A53KlxAPRmUyYv2D6F0uUI65XisGOL1hBP5mTronbgo+0bFcA==",
       "cpu": [
         "arm"
       ],
@@ -839,9 +932,9 @@
       }
     },
     "node_modules/@esbuild/linux-arm64": {
-      "version": "0.17.19",
-      "resolved": "https://registry.npmjs.org/@esbuild/linux-arm64/-/linux-arm64-0.17.19.tgz",
-      "integrity": "sha512-ct1Tg3WGwd3P+oZYqic+YZF4snNl2bsnMKRkb3ozHmnM0dGWuxcPTTntAF6bOP0Sp4x0PjSF+4uHQ1xvxfRKqg==",
+      "version": "0.21.5",
+      "resolved": "https://registry.npmjs.org/@esbuild/linux-arm64/-/linux-arm64-0.21.5.tgz",
+      "integrity": "sha512-ibKvmyYzKsBeX8d8I7MH/TMfWDXBF3db4qM6sy+7re0YXya+K1cem3on9XgdT2EQGMu4hQyZhan7TeQ8XkGp4Q==",
       "cpu": [
         "arm64"
       ],
@@ -854,9 +947,9 @@
       }
     },
     "node_modules/@esbuild/linux-ia32": {
-      "version": "0.17.19",
-      "resolved": "https://registry.npmjs.org/@esbuild/linux-ia32/-/linux-ia32-0.17.19.tgz",
-      "integrity": "sha512-w4IRhSy1VbsNxHRQpeGCHEmibqdTUx61Vc38APcsRbuVgK0OPEnQ0YD39Brymn96mOx48Y2laBQGqgZ0j9w6SQ==",
+      "version": "0.21.5",
+      "resolved": "https://registry.npmjs.org/@esbuild/linux-ia32/-/linux-ia32-0.21.5.tgz",
+      "integrity": "sha512-YvjXDqLRqPDl2dvRODYmmhz4rPeVKYvppfGYKSNGdyZkA01046pLWyRKKI3ax8fbJoK5QbxblURkwK/MWY18Tg==",
       "cpu": [
         "ia32"
       ],
@@ -869,9 +962,9 @@
       }
     },
     "node_modules/@esbuild/linux-loong64": {
-      "version": "0.17.19",
-      "resolved": "https://registry.npmjs.org/@esbuild/linux-loong64/-/linux-loong64-0.17.19.tgz",
-      "integrity": "sha512-2iAngUbBPMq439a+z//gE+9WBldoMp1s5GWsUSgqHLzLJ9WoZLZhpwWuym0u0u/4XmZ3gpHmzV84PonE+9IIdQ==",
+      "version": "0.21.5",
+      "resolved": "https://registry.npmjs.org/@esbuild/linux-loong64/-/linux-loong64-0.21.5.tgz",
+      "integrity": "sha512-uHf1BmMG8qEvzdrzAqg2SIG/02+4/DHB6a9Kbya0XDvwDEKCoC8ZRWI5JJvNdUjtciBGFQ5PuBlpEOXQj+JQSg==",
       "cpu": [
         "loong64"
       ],
@@ -884,9 +977,9 @@
       }
     },
     "node_modules/@esbuild/linux-mips64el": {
-      "version": "0.17.19",
-      "resolved": "https://registry.npmjs.org/@esbuild/linux-mips64el/-/linux-mips64el-0.17.19.tgz",
-      "integrity": "sha512-LKJltc4LVdMKHsrFe4MGNPp0hqDFA1Wpt3jE1gEyM3nKUvOiO//9PheZZHfYRfYl6AwdTH4aTcXSqBerX0ml4A==",
+      "version": "0.21.5",
+      "resolved": "https://registry.npmjs.org/@esbuild/linux-mips64el/-/linux-mips64el-0.21.5.tgz",
+      "integrity": "sha512-IajOmO+KJK23bj52dFSNCMsz1QP1DqM6cwLUv3W1QwyxkyIWecfafnI555fvSGqEKwjMXVLokcV5ygHW5b3Jbg==",
       "cpu": [
         "mips64el"
       ],
@@ -899,9 +992,9 @@
       }
     },
     "node_modules/@esbuild/linux-ppc64": {
-      "version": "0.17.19",
-      "resolved": "https://registry.npmjs.org/@esbuild/linux-ppc64/-/linux-ppc64-0.17.19.tgz",
-      "integrity": "sha512-/c/DGybs95WXNS8y3Ti/ytqETiW7EU44MEKuCAcpPto3YjQbyK3IQVKfF6nbghD7EcLUGl0NbiL5Rt5DMhn5tg==",
+      "version": "0.21.5",
+      "resolved": "https://registry.npmjs.org/@esbuild/linux-ppc64/-/linux-ppc64-0.21.5.tgz",
+      "integrity": "sha512-1hHV/Z4OEfMwpLO8rp7CvlhBDnjsC3CttJXIhBi+5Aj5r+MBvy4egg7wCbe//hSsT+RvDAG7s81tAvpL2XAE4w==",
       "cpu": [
         "ppc64"
       ],
@@ -914,9 +1007,9 @@
       }
     },
     "node_modules/@esbuild/linux-riscv64": {
-      "version": "0.17.19",
-      "resolved": "https://registry.npmjs.org/@esbuild/linux-riscv64/-/linux-riscv64-0.17.19.tgz",
-      "integrity": "sha512-FC3nUAWhvFoutlhAkgHf8f5HwFWUL6bYdvLc/TTuxKlvLi3+pPzdZiFKSWz/PF30TB1K19SuCxDTI5KcqASJqA==",
+      "version": "0.21.5",
+      "resolved": "https://registry.npmjs.org/@esbuild/linux-riscv64/-/linux-riscv64-0.21.5.tgz",
+      "integrity": "sha512-2HdXDMd9GMgTGrPWnJzP2ALSokE/0O5HhTUvWIbD3YdjME8JwvSCnNGBnTThKGEB91OZhzrJ4qIIxk/SBmyDDA==",
       "cpu": [
         "riscv64"
       ],
@@ -929,9 +1022,9 @@
       }
     },
     "node_modules/@esbuild/linux-s390x": {
-      "version": "0.17.19",
-      "resolved": "https://registry.npmjs.org/@esbuild/linux-s390x/-/linux-s390x-0.17.19.tgz",
-      "integrity": "sha512-IbFsFbxMWLuKEbH+7sTkKzL6NJmG2vRyy6K7JJo55w+8xDk7RElYn6xvXtDW8HCfoKBFK69f3pgBJSUSQPr+4Q==",
+      "version": "0.21.5",
+      "resolved": "https://registry.npmjs.org/@esbuild/linux-s390x/-/linux-s390x-0.21.5.tgz",
+      "integrity": "sha512-zus5sxzqBJD3eXxwvjN1yQkRepANgxE9lgOW2qLnmr8ikMTphkjgXu1HR01K4FJg8h1kEEDAqDcZQtbrRnB41A==",
       "cpu": [
         "s390x"
       ],
@@ -944,9 +1037,9 @@
       }
     },
     "node_modules/@esbuild/linux-x64": {
-      "version": "0.17.19",
-      "resolved": "https://registry.npmjs.org/@esbuild/linux-x64/-/linux-x64-0.17.19.tgz",
-      "integrity": "sha512-68ngA9lg2H6zkZcyp22tsVt38mlhWde8l3eJLWkyLrp4HwMUr3c1s/M2t7+kHIhvMjglIBrFpncX1SzMckomGw==",
+      "version": "0.21.5",
+      "resolved": "https://registry.npmjs.org/@esbuild/linux-x64/-/linux-x64-0.21.5.tgz",
+      "integrity": "sha512-1rYdTpyv03iycF1+BhzrzQJCdOuAOtaqHTWJZCWvijKD2N5Xu0TtVC8/+1faWqcP9iBCWOmjmhoH94dH82BxPQ==",
       "cpu": [
         "x64"
       ],
@@ -959,9 +1052,9 @@
       }
     },
     "node_modules/@esbuild/netbsd-x64": {
-      "version": "0.17.19",
-      "resolved": "https://registry.npmjs.org/@esbuild/netbsd-x64/-/netbsd-x64-0.17.19.tgz",
-      "integrity": "sha512-CwFq42rXCR8TYIjIfpXCbRX0rp1jo6cPIUPSaWwzbVI4aOfX96OXY8M6KNmtPcg7QjYeDmN+DD0Wp3LaBOLf4Q==",
+      "version": "0.21.5",
+      "resolved": "https://registry.npmjs.org/@esbuild/netbsd-x64/-/netbsd-x64-0.21.5.tgz",
+      "integrity": "sha512-Woi2MXzXjMULccIwMnLciyZH4nCIMpWQAs049KEeMvOcNADVxo0UBIQPfSmxB3CWKedngg7sWZdLvLczpe0tLg==",
       "cpu": [
         "x64"
       ],
@@ -974,9 +1067,9 @@
       }
     },
     "node_modules/@esbuild/openbsd-x64": {
-      "version": "0.17.19",
-      "resolved": "https://registry.npmjs.org/@esbuild/openbsd-x64/-/openbsd-x64-0.17.19.tgz",
-      "integrity": "sha512-cnq5brJYrSZ2CF6c35eCmviIN3k3RczmHz8eYaVlNasVqsNY+JKohZU5MKmaOI+KkllCdzOKKdPs762VCPC20g==",
+      "version": "0.21.5",
+      "resolved": "https://registry.npmjs.org/@esbuild/openbsd-x64/-/openbsd-x64-0.21.5.tgz",
+      "integrity": "sha512-HLNNw99xsvx12lFBUwoT8EVCsSvRNDVxNpjZ7bPn947b8gJPzeHWyNVhFsaerc0n3TsbOINvRP2byTZ5LKezow==",
       "cpu": [
         "x64"
       ],
@@ -989,9 +1082,9 @@
       }
     },
     "node_modules/@esbuild/sunos-x64": {
-      "version": "0.17.19",
-      "resolved": "https://registry.npmjs.org/@esbuild/sunos-x64/-/sunos-x64-0.17.19.tgz",
-      "integrity": "sha512-vCRT7yP3zX+bKWFeP/zdS6SqdWB8OIpaRq/mbXQxTGHnIxspRtigpkUcDMlSCOejlHowLqII7K2JKevwyRP2rg==",
+      "version": "0.21.5",
+      "resolved": "https://registry.npmjs.org/@esbuild/sunos-x64/-/sunos-x64-0.21.5.tgz",
+      "integrity": "sha512-6+gjmFpfy0BHU5Tpptkuh8+uw3mnrvgs+dSPQXQOv3ekbordwnzTVEb4qnIvQcYXq6gzkyTnoZ9dZG+D4garKg==",
       "cpu": [
         "x64"
       ],
@@ -1004,9 +1097,9 @@
       }
     },
     "node_modules/@esbuild/win32-arm64": {
-      "version": "0.17.19",
-      "resolved": "https://registry.npmjs.org/@esbuild/win32-arm64/-/win32-arm64-0.17.19.tgz",
-      "integrity": "sha512-yYx+8jwowUstVdorcMdNlzklLYhPxjniHWFKgRqH7IFlUEa0Umu3KuYplf1HUZZ422e3NU9F4LGb+4O0Kdcaag==",
+      "version": "0.21.5",
+      "resolved": "https://registry.npmjs.org/@esbuild/win32-arm64/-/win32-arm64-0.21.5.tgz",
+      "integrity": "sha512-Z0gOTd75VvXqyq7nsl93zwahcTROgqvuAcYDUr+vOv8uHhNSKROyU961kgtCD1e95IqPKSQKH7tBTslnS3tA8A==",
       "cpu": [
         "arm64"
       ],
@@ -1019,9 +1112,9 @@
       }
     },
     "node_modules/@esbuild/win32-ia32": {
-      "version": "0.17.19",
-      "resolved": "https://registry.npmjs.org/@esbuild/win32-ia32/-/win32-ia32-0.17.19.tgz",
-      "integrity": "sha512-eggDKanJszUtCdlVs0RB+h35wNlb5v4TWEkq4vZcmVt5u/HiDZrTXe2bWFQUez3RgNHwx/x4sk5++4NSSicKkw==",
+      "version": "0.21.5",
+      "resolved": "https://registry.npmjs.org/@esbuild/win32-ia32/-/win32-ia32-0.21.5.tgz",
+      "integrity": "sha512-SWXFF1CL2RVNMaVs+BBClwtfZSvDgtL//G/smwAc5oVK/UPu2Gu9tIaRgFmYFFKrmg3SyAjSrElf0TiJ1v8fYA==",
       "cpu": [
         "ia32"
       ],
@@ -1034,9 +1127,9 @@
       }
     },
     "node_modules/@esbuild/win32-x64": {
-      "version": "0.17.19",
-      "resolved": "https://registry.npmjs.org/@esbuild/win32-x64/-/win32-x64-0.17.19.tgz",
-      "integrity": "sha512-lAhycmKnVOuRYNtRtatQR1LPQf2oYCkRGkSFnseDAKPl8lu5SOsK/e1sXe5a0Pc5kHIHe6P2I/ilntNv2xf3cA==",
+      "version": "0.21.5",
+      "resolved": "https://registry.npmjs.org/@esbuild/win32-x64/-/win32-x64-0.21.5.tgz",
+      "integrity": "sha512-tQd/1efJuzPC6rCFwEvLtci/xNFcTZknmXs98FYDfGE4wP9ClFV98nyKrzJKVPMhdDnjzLhdUyMX4PsQAPjwIw==",
       "cpu": [
         "x64"
       ],
@@ -1048,29 +1141,190 @@
         "node": ">=12"
       }
     },
+    "node_modules/@eslint-community/eslint-utils": {
+      "version": "4.4.0",
+      "resolved": "https://registry.npmjs.org/@eslint-community/eslint-utils/-/eslint-utils-4.4.0.tgz",
+      "integrity": "sha512-1/sA4dwrzBAyeUoQ6oxahHKmrZvsnLCg4RfxW3ZFGGmQkSNQPFNLV9CUEFQP1x9EYXHTo5p6xdhZM1Ne9p/AfA==",
+      "dev": true,
+      "dependencies": {
+        "eslint-visitor-keys": "^3.3.0"
+      },
+      "engines": {
+        "node": "^12.22.0 || ^14.17.0 || >=16.0.0"
+      },
+      "peerDependencies": {
+        "eslint": "^6.0.0 || ^7.0.0 || >=8.0.0"
+      }
+    },
+    "node_modules/@eslint-community/eslint-utils/node_modules/eslint-visitor-keys": {
+      "version": "3.4.3",
+      "resolved": "https://registry.npmjs.org/eslint-visitor-keys/-/eslint-visitor-keys-3.4.3.tgz",
+      "integrity": "sha512-wpc+LXeiyiisxPlEkUzU6svyS1frIO3Mgxj1fdy7Pm8Ygzguax2N3Fa/D/ag1WqbOprdI+uY6wMUl8/a2G+iag==",
+      "dev": true,
+      "engines": {
+        "node": "^12.22.0 || ^14.17.0 || >=16.0.0"
+      },
+      "funding": {
+        "url": "https://opencollective.com/eslint"
+      }
+    },
+    "node_modules/@eslint-community/regexpp": {
+      "version": "4.10.1",
+      "resolved": "https://registry.npmjs.org/@eslint-community/regexpp/-/regexpp-4.10.1.tgz",
+      "integrity": "sha512-Zm2NGpWELsQAD1xsJzGQpYfvICSsFkEpU0jxBjfdC6uNEWXcHnfs9hScFWtXVDVl+rBQJGrl4g1vcKIejpH9dA==",
+      "dev": true,
+      "engines": {
+        "node": "^12.0.0 || ^14.0.0 || >=16.0.0"
+      }
+    },
+    "node_modules/@eslint/config-array": {
+      "version": "0.16.0",
+      "resolved": "https://registry.npmjs.org/@eslint/config-array/-/config-array-0.16.0.tgz",
+      "integrity": "sha512-/jmuSd74i4Czf1XXn7wGRWZCuyaUZ330NH1Bek0Pplatt4Sy1S5haN21SCLLdbeKslQ+S0wEJ+++v5YibSi+Lg==",
+      "dev": true,
+      "dependencies": {
+        "@eslint/object-schema": "^2.1.4",
+        "debug": "^4.3.1",
+        "minimatch": "^3.0.5"
+      },
+      "engines": {
+        "node": "^18.18.0 || ^20.9.0 || >=21.1.0"
+      }
+    },
+    "node_modules/@eslint/config-array/node_modules/brace-expansion": {
+      "version": "1.1.11",
+      "resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-1.1.11.tgz",
+      "integrity": "sha512-iCuPHDFgrHX7H2vEI/5xpz07zSHB00TpugqhmYtVmMO6518mCuRMoOYFldEBl0g187ufozdaHgWKcYFb61qGiA==",
+      "dev": true,
+      "dependencies": {
+        "balanced-match": "^1.0.0",
+        "concat-map": "0.0.1"
+      }
+    },
+    "node_modules/@eslint/config-array/node_modules/minimatch": {
+      "version": "3.1.2",
+      "resolved": "https://registry.npmjs.org/minimatch/-/minimatch-3.1.2.tgz",
+      "integrity": "sha512-J7p63hRiAjw1NDEww1W7i37+ByIrOWO5XQQAzZ3VOcL0PNybwpfmV/N05zFAzwQ9USyEcX6t3UO+K5aqBQOIHw==",
+      "dev": true,
+      "dependencies": {
+        "brace-expansion": "^1.1.7"
+      },
+      "engines": {
+        "node": "*"
+      }
+    },
+    "node_modules/@eslint/eslintrc": {
+      "version": "3.1.0",
+      "resolved": "https://registry.npmjs.org/@eslint/eslintrc/-/eslintrc-3.1.0.tgz",
+      "integrity": "sha512-4Bfj15dVJdoy3RfZmmo86RK1Fwzn6SstsvK9JS+BaVKqC6QQQQyXekNaC+g+LKNgkQ+2VhGAzm6hO40AhMR3zQ==",
+      "dev": true,
+      "dependencies": {
+        "ajv": "^6.12.4",
+        "debug": "^4.3.2",
+        "espree": "^10.0.1",
+        "globals": "^14.0.0",
+        "ignore": "^5.2.0",
+        "import-fresh": "^3.2.1",
+        "js-yaml": "^4.1.0",
+        "minimatch": "^3.1.2",
+        "strip-json-comments": "^3.1.1"
+      },
+      "engines": {
+        "node": "^18.18.0 || ^20.9.0 || >=21.1.0"
+      },
+      "funding": {
+        "url": "https://opencollective.com/eslint"
+      }
+    },
+    "node_modules/@eslint/eslintrc/node_modules/brace-expansion": {
+      "version": "1.1.11",
+      "resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-1.1.11.tgz",
+      "integrity": "sha512-iCuPHDFgrHX7H2vEI/5xpz07zSHB00TpugqhmYtVmMO6518mCuRMoOYFldEBl0g187ufozdaHgWKcYFb61qGiA==",
+      "dev": true,
+      "dependencies": {
+        "balanced-match": "^1.0.0",
+        "concat-map": "0.0.1"
+      }
+    },
+    "node_modules/@eslint/eslintrc/node_modules/globals": {
+      "version": "14.0.0",
+      "resolved": "https://registry.npmjs.org/globals/-/globals-14.0.0.tgz",
+      "integrity": "sha512-oahGvuMGQlPw/ivIYBjVSrWAfWLBeku5tpPE2fOPLi+WHffIWbuh2tCjhyQhTBPMf5E9jDEH4FOmTYgYwbKwtQ==",
+      "dev": true,
+      "engines": {
+        "node": ">=18"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
+      }
+    },
+    "node_modules/@eslint/eslintrc/node_modules/minimatch": {
+      "version": "3.1.2",
+      "resolved": "https://registry.npmjs.org/minimatch/-/minimatch-3.1.2.tgz",
+      "integrity": "sha512-J7p63hRiAjw1NDEww1W7i37+ByIrOWO5XQQAzZ3VOcL0PNybwpfmV/N05zFAzwQ9USyEcX6t3UO+K5aqBQOIHw==",
+      "dev": true,
+      "dependencies": {
+        "brace-expansion": "^1.1.7"
+      },
+      "engines": {
+        "node": "*"
+      }
+    },
+    "node_modules/@eslint/js": {
+      "version": "9.5.0",
+      "resolved": "https://registry.npmjs.org/@eslint/js/-/js-9.5.0.tgz",
+      "integrity": "sha512-A7+AOT2ICkodvtsWnxZP4Xxk3NbZ3VMHd8oihydLRGrJgqqdEz1qSeEgXYyT/Cu8h1TWWsQRejIx48mtjZ5y1w==",
+      "dev": true,
+      "engines": {
+        "node": "^18.18.0 || ^20.9.0 || >=21.1.0"
+      }
+    },
+    "node_modules/@eslint/object-schema": {
+      "version": "2.1.4",
+      "resolved": "https://registry.npmjs.org/@eslint/object-schema/-/object-schema-2.1.4.tgz",
+      "integrity": "sha512-BsWiH1yFGjXXS2yvrf5LyuoSIIbPrGUWob917o+BTKuZ7qJdxX8aJLRxs1fS9n6r7vESrq1OUqb68dANcFXuQQ==",
+      "dev": true,
+      "engines": {
+        "node": "^18.18.0 || ^20.9.0 || >=21.1.0"
+      }
+    },
     "node_modules/@floating-ui/core": {
-      "version": "1.6.0",
-      "resolved": "https://registry.npmjs.org/@floating-ui/core/-/core-1.6.0.tgz",
-      "integrity": "sha512-PcF++MykgmTj3CIyOQbKA/hDzOAiqI3mhuoN44WRCopIs1sgoDoU4oty4Jtqaj/y3oDU6fnVSm4QG0a3t5i0+g==",
+      "version": "1.6.2",
+      "resolved": "https://registry.npmjs.org/@floating-ui/core/-/core-1.6.2.tgz",
+      "integrity": "sha512-+2XpQV9LLZeanU4ZevzRnGFg2neDeKHgFLjP6YLW+tly0IvrhqT4u8enLGjLH3qeh85g19xY5rsAusfwTdn5lg==",
       "dependencies": {
-        "@floating-ui/utils": "^0.2.1"
+        "@floating-ui/utils": "^0.2.0"
       }
     },
     "node_modules/@floating-ui/dom": {
-      "version": "1.6.1",
-      "resolved": "https://registry.npmjs.org/@floating-ui/dom/-/dom-1.6.1.tgz",
-      "integrity": "sha512-iA8qE43/H5iGozC3W0YSnVSW42Vh522yyM1gj+BqRwVsTNOyr231PsXDaV04yT39PsO0QL2QpbI/M0ZaLUQgRQ==",
+      "version": "1.6.5",
+      "resolved": "https://registry.npmjs.org/@floating-ui/dom/-/dom-1.6.5.tgz",
+      "integrity": "sha512-Nsdud2X65Dz+1RHjAIP0t8z5e2ff/IRbei6BqFrl1urT8sDVzM1HMQ+R0XcU5ceRfyO3I6ayeqIfh+6Wb8LGTw==",
       "dependencies": {
-        "@floating-ui/core": "^1.6.0",
-        "@floating-ui/utils": "^0.2.1"
+        "@floating-ui/core": "^1.0.0",
+        "@floating-ui/utils": "^0.2.0"
+      }
+    },
+    "node_modules/@floating-ui/react": {
+      "version": "0.26.17",
+      "resolved": "https://registry.npmjs.org/@floating-ui/react/-/react-0.26.17.tgz",
+      "integrity": "sha512-ESD+jYWwqwVzaIgIhExrArdsCL1rOAzryG/Sjlu8yaD3Mtqi3uVyhbE2V7jD58Mo52qbzKz2eUY/Xgh5I86FCQ==",
+      "dependencies": {
+        "@floating-ui/react-dom": "^2.1.0",
+        "@floating-ui/utils": "^0.2.0",
+        "tabbable": "^6.0.0"
+      },
+      "peerDependencies": {
+        "react": ">=16.8.0",
+        "react-dom": ">=16.8.0"
       }
     },
     "node_modules/@floating-ui/react-dom": {
-      "version": "2.0.8",
-      "resolved": "https://registry.npmjs.org/@floating-ui/react-dom/-/react-dom-2.0.8.tgz",
-      "integrity": "sha512-HOdqOt3R3OGeTKidaLvJKcgg75S6tibQ3Tif4eyd91QnIJWr0NLvoXFpJA/j8HqkFSL68GDca9AuyWEHlhyClw==",
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/@floating-ui/react-dom/-/react-dom-2.1.0.tgz",
+      "integrity": "sha512-lNzj5EQmEKn5FFKc04+zasr09h/uX8RtJRNj5gUXsSQIXHVWTVh+hVAg1vOMCexkX8EgvemMvIFpQfkosnVNyA==",
       "dependencies": {
-        "@floating-ui/dom": "^1.6.1"
+        "@floating-ui/dom": "^1.0.0"
       },
       "peerDependencies": {
         "react": ">=16.8.0",
@@ -1078,32 +1332,68 @@
       }
     },
     "node_modules/@floating-ui/utils": {
-      "version": "0.2.1",
-      "resolved": "https://registry.npmjs.org/@floating-ui/utils/-/utils-0.2.1.tgz",
-      "integrity": "sha512-9TANp6GPoMtYzQdt54kfAyMmz1+osLlXdg2ENroU7zzrtflTLrrC/lgrIfaSe+Wu0b89GKccT7vxXA0MoAIO+Q=="
+      "version": "0.2.2",
+      "resolved": "https://registry.npmjs.org/@floating-ui/utils/-/utils-0.2.2.tgz",
+      "integrity": "sha512-J4yDIIthosAsRZ5CPYP/jQvUAQtlZTTD/4suA08/FEnlxqW3sKS9iAhgsa9VYLZ6vDHn/ixJgIqRQPotoBjxIw=="
     },
     "node_modules/@headlessui/react": {
-      "version": "1.7.18",
-      "resolved": "https://registry.npmjs.org/@headlessui/react/-/react-1.7.18.tgz",
-      "integrity": "sha512-4i5DOrzwN4qSgNsL4Si61VMkUcWbcSKueUV7sFhpHzQcSShdlHENE5+QBntMSRvHt8NyoFO2AGG8si9lq+w4zQ==",
+      "version": "2.0.4",
+      "resolved": "https://registry.npmjs.org/@headlessui/react/-/react-2.0.4.tgz",
+      "integrity": "sha512-16d/rOLeYsFsmPlRmXGu8DCBzrWD0zV1Ccx3n73wN87yFu8Y9+X04zflv8EJEt9TAYRyLKOmQXUnOnqQl6NgpA==",
       "dependencies": {
-        "@tanstack/react-virtual": "^3.0.0-beta.60",
-        "client-only": "^0.0.1"
+        "@floating-ui/react": "^0.26.13",
+        "@react-aria/focus": "^3.16.2",
+        "@react-aria/interactions": "^3.21.1",
+        "@tanstack/react-virtual": "3.5.0"
       },
       "engines": {
         "node": ">=10"
       },
       "peerDependencies": {
-        "react": "^16 || ^17 || ^18",
-        "react-dom": "^16 || ^17 || ^18"
+        "react": "^18",
+        "react-dom": "^18"
       }
     },
-    "node_modules/@heroicons/react": {
-      "version": "2.1.1",
-      "resolved": "https://registry.npmjs.org/@heroicons/react/-/react-2.1.1.tgz",
-      "integrity": "sha512-JyyN9Lo66kirbCMuMMRPtJxtKJoIsXKS569ebHGGRKbl8s4CtUfLnyKJxteA+vIKySocO4s1SkTkGS4xtG/yEA==",
+    "node_modules/@hono/node-server": {
+      "version": "1.11.3",
+      "resolved": "https://registry.npmjs.org/@hono/node-server/-/node-server-1.11.3.tgz",
+      "integrity": "sha512-mFg3qlKkDtMWSalX5Gyh6Zd3MXay0biGobFlyJ49i6R1smBBS1CYkNZbvwLlw+4sSrHO4ZiH7kj4TcLpl2Jr3g==",
+      "engines": {
+        "node": ">=18.14.1"
+      }
+    },
+    "node_modules/@hookform/resolvers": {
+      "version": "3.6.0",
+      "resolved": "https://registry.npmjs.org/@hookform/resolvers/-/resolvers-3.6.0.tgz",
+      "integrity": "sha512-UBcpyOX3+RR+dNnqBd0lchXpoL8p4xC21XP8H6Meb8uve5Br1GCnmg0PcBoKKqPKgGu9GHQ/oygcmPrQhetwqw==",
       "peerDependencies": {
-        "react": ">= 16"
+        "react-hook-form": "^7.0.0"
+      }
+    },
+    "node_modules/@humanwhocodes/module-importer": {
+      "version": "1.0.1",
+      "resolved": "https://registry.npmjs.org/@humanwhocodes/module-importer/-/module-importer-1.0.1.tgz",
+      "integrity": "sha512-bxveV4V8v5Yb4ncFTT3rPSgZBOpCkjfK0y4oVVVJwIuDVBRMDXrPyXRL988i5ap9m9bnyEEjWfm5WkBmtffLfA==",
+      "dev": true,
+      "engines": {
+        "node": ">=12.22"
+      },
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/nzakas"
+      }
+    },
+    "node_modules/@humanwhocodes/retry": {
+      "version": "0.3.0",
+      "resolved": "https://registry.npmjs.org/@humanwhocodes/retry/-/retry-0.3.0.tgz",
+      "integrity": "sha512-d2CGZR2o7fS6sWB7DG/3a95bGKQyHMACZ5aW8qGkkqQpUoZV6C0X7Pc7l4ZNMZkfNBf4VWNe9E1jRsf0G146Ew==",
+      "dev": true,
+      "engines": {
+        "node": ">=18.18"
+      },
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/nzakas"
       }
     },
     "node_modules/@isaacs/cliui": {
@@ -1122,6 +1412,28 @@
         "node": ">=12"
       }
     },
+    "node_modules/@isaacs/cliui/node_modules/ansi-regex": {
+      "version": "6.0.1",
+      "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-6.0.1.tgz",
+      "integrity": "sha512-n5M855fKb2SsfMIiFFoVrABHJC8QtHwVx+mHWP3QcEqBHYienj5dHSgjbxtC0WEZXYt4wcD6zrQElDPhFuZgfA==",
+      "engines": {
+        "node": ">=12"
+      },
+      "funding": {
+        "url": "https://github.com/chalk/ansi-regex?sponsor=1"
+      }
+    },
+    "node_modules/@isaacs/cliui/node_modules/ansi-styles": {
+      "version": "6.2.1",
+      "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-6.2.1.tgz",
+      "integrity": "sha512-bN798gFfQX+viw3R7yrGWRqnrN2oRkEkUjjl4JNn4E8GxxbjtG3FbrEIIY3l8/hrwUwIeCZvi4QuOTP4MErVug==",
+      "engines": {
+        "node": ">=12"
+      },
+      "funding": {
+        "url": "https://github.com/chalk/ansi-styles?sponsor=1"
+      }
+    },
     "node_modules/@isaacs/cliui/node_modules/emoji-regex": {
       "version": "9.2.2",
       "resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-9.2.2.tgz",
@@ -1143,1171 +1455,3067 @@
         "url": "https://github.com/sponsors/sindresorhus"
       }
     },
-    "node_modules/@jridgewell/gen-mapping": {
-      "version": "0.3.3",
-      "resolved": "https://registry.npmjs.org/@jridgewell/gen-mapping/-/gen-mapping-0.3.3.tgz",
-      "integrity": "sha512-HLhSWOLRi875zjjMG/r+Nv0oCW8umGb0BgEhyX3dDX3egwZtB8PqLnjz3yedt8R5StBrzcg4aBpnh8UA9D1BoQ==",
+    "node_modules/@isaacs/cliui/node_modules/strip-ansi": {
+      "version": "7.1.0",
+      "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-7.1.0.tgz",
+      "integrity": "sha512-iq6eVVI64nQQTRYq2KtEg2d2uU7LElhTJwsH4YzIHZshxlgZms/wIc4VoDQTlG/IvVIrBKG06CrZnp0qv7hkcQ==",
       "dependencies": {
-        "@jridgewell/set-array": "^1.0.1",
-        "@jridgewell/sourcemap-codec": "^1.4.10",
-        "@jridgewell/trace-mapping": "^0.3.9"
+        "ansi-regex": "^6.0.1"
       },
       "engines": {
-        "node": ">=6.0.0"
+        "node": ">=12"
+      },
+      "funding": {
+        "url": "https://github.com/chalk/strip-ansi?sponsor=1"
       }
     },
-    "node_modules/@jridgewell/resolve-uri": {
-      "version": "3.1.1",
-      "resolved": "https://registry.npmjs.org/@jridgewell/resolve-uri/-/resolve-uri-3.1.1.tgz",
-      "integrity": "sha512-dSYZh7HhCDtCKm4QakX0xFpsRDqjjtZf/kjI/v3T3Nwt5r8/qz/M19F9ySyOqU94SXBmeG9ttTul+YnR4LOxFA==",
+    "node_modules/@isaacs/cliui/node_modules/wrap-ansi": {
+      "version": "8.1.0",
+      "resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-8.1.0.tgz",
+      "integrity": "sha512-si7QWI6zUMq56bESFvagtmzMdGOtoxfR+Sez11Mobfc7tm+VkUckk9bW2UeffTGVUbOksxmSw0AA2gs8g71NCQ==",
+      "dependencies": {
+        "ansi-styles": "^6.1.0",
+        "string-width": "^5.0.1",
+        "strip-ansi": "^7.0.1"
+      },
       "engines": {
-        "node": ">=6.0.0"
+        "node": ">=12"
+      },
+      "funding": {
+        "url": "https://github.com/chalk/wrap-ansi?sponsor=1"
       }
     },
-    "node_modules/@jridgewell/set-array": {
-      "version": "1.1.2",
-      "resolved": "https://registry.npmjs.org/@jridgewell/set-array/-/set-array-1.1.2.tgz",
-      "integrity": "sha512-xnkseuNADM0gt2bs+BvhO0p78Mk762YnZdsuzFV018NoG1Sj1SCQvpSqa7XUaTam5vAGasABV9qXASMKnFMwMw==",
+    "node_modules/@jest/expect-utils": {
+      "version": "29.7.0",
+      "resolved": "https://registry.npmjs.org/@jest/expect-utils/-/expect-utils-29.7.0.tgz",
+      "integrity": "sha512-GlsNBWiFQFCVi9QVSx7f5AgMeLxe9YCCs5PuP2O2LdjDAA8Jh9eX7lA1Jq/xdXw3Wb3hyvlFNfZIfcRetSzYcA==",
+      "dev": true,
+      "dependencies": {
+        "jest-get-type": "^29.6.3"
+      },
       "engines": {
-        "node": ">=6.0.0"
+        "node": "^14.15.0 || ^16.10.0 || >=18.0.0"
       }
     },
-    "node_modules/@jridgewell/sourcemap-codec": {
-      "version": "1.4.15",
-      "resolved": "https://registry.npmjs.org/@jridgewell/sourcemap-codec/-/sourcemap-codec-1.4.15.tgz",
-      "integrity": "sha512-eF2rxCRulEKXHTRiDrDy6erMYWqNw4LPdQ8UQA4huuxaQsVeRPFl2oM8oDGxMFhJUWZf9McpLtJasDDZb/Bpeg=="
-    },
-    "node_modules/@jridgewell/trace-mapping": {
-      "version": "0.3.22",
-      "resolved": "https://registry.npmjs.org/@jridgewell/trace-mapping/-/trace-mapping-0.3.22.tgz",
-      "integrity": "sha512-Wf963MzWtA2sjrNt+g18IAln9lKnlRp+K2eH4jjIoF1wYeq3aMREpG09xhlhdzS0EjwU7qmUJYangWa+151vZw==",
+    "node_modules/@jest/schemas": {
+      "version": "29.6.3",
+      "resolved": "https://registry.npmjs.org/@jest/schemas/-/schemas-29.6.3.tgz",
+      "integrity": "sha512-mo5j5X+jIZmJQveBKeS/clAueipV7KgiX1vMgCxam1RNYiqE1w62n0/tJJnHtjW8ZHcQco5gY85jA3mi0L+nSA==",
+      "dev": true,
       "dependencies": {
-        "@jridgewell/resolve-uri": "^3.1.0",
-        "@jridgewell/sourcemap-codec": "^1.4.14"
+        "@sinclair/typebox": "^0.27.8"
+      },
+      "engines": {
+        "node": "^14.15.0 || ^16.10.0 || >=18.0.0"
       }
     },
-    "node_modules/@mole-inc/bin-wrapper": {
-      "version": "8.0.1",
-      "resolved": "https://registry.npmjs.org/@mole-inc/bin-wrapper/-/bin-wrapper-8.0.1.tgz",
-      "integrity": "sha512-sTGoeZnjI8N4KS+sW2AN95gDBErhAguvkw/tWdCjeM8bvxpz5lqrnd0vOJABA1A+Ic3zED7PYoLP/RANLgVotA==",
+    "node_modules/@jest/types": {
+      "version": "29.6.3",
+      "resolved": "https://registry.npmjs.org/@jest/types/-/types-29.6.3.tgz",
+      "integrity": "sha512-u3UPsIilWKOM3F9CXtrG8LEJmNxwoCQC/XVj4IKYXvvpx7QIi/Kg1LI5uDmDpKlac62NUtX7eLjRh+jVZcLOzw==",
       "dev": true,
       "dependencies": {
-        "bin-check": "^4.1.0",
-        "bin-version-check": "^5.0.0",
-        "content-disposition": "^0.5.4",
-        "ext-name": "^5.0.0",
-        "file-type": "^17.1.6",
-        "filenamify": "^5.0.2",
-        "got": "^11.8.5",
-        "os-filter-obj": "^2.0.0"
+        "@jest/schemas": "^29.6.3",
+        "@types/istanbul-lib-coverage": "^2.0.0",
+        "@types/istanbul-reports": "^3.0.0",
+        "@types/node": "*",
+        "@types/yargs": "^17.0.8",
+        "chalk": "^4.0.0"
       },
       "engines": {
-        "node": "^12.20.0 || ^14.13.1 || >=16.0.0"
+        "node": "^14.15.0 || ^16.10.0 || >=18.0.0"
       }
     },
-    "node_modules/@mui/base": {
-      "version": "5.0.0-beta.34",
-      "resolved": "https://registry.npmjs.org/@mui/base/-/base-5.0.0-beta.34.tgz",
-      "integrity": "sha512-e2mbTGTtReD/y5RFwnhkl1Tgl3XwgJhY040IlfkTVaU9f5LWrVhEnpRsYXu3B1CtLrwiWs4cu7aMHV9yRd4jpw==",
+    "node_modules/@jest/types/node_modules/ansi-styles": {
+      "version": "4.3.0",
+      "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-4.3.0.tgz",
+      "integrity": "sha512-zbB9rCJAT1rbjiVDb2hqKFHNYLxgtk8NURxZ3IZwD3F6NtxbXZQCnnSi1Lkx+IDohdPlFp222wVALIheZJQSEg==",
+      "dev": true,
       "dependencies": {
-        "@babel/runtime": "^7.23.9",
-        "@floating-ui/react-dom": "^2.0.8",
-        "@mui/types": "^7.2.13",
-        "@mui/utils": "^5.15.7",
-        "@popperjs/core": "^2.11.8",
-        "clsx": "^2.1.0",
-        "prop-types": "^15.8.1"
+        "color-convert": "^2.0.1"
       },
       "engines": {
-        "node": ">=12.0.0"
+        "node": ">=8"
       },
       "funding": {
-        "type": "opencollective",
-        "url": "https://opencollective.com/mui-org"
-      },
-      "peerDependencies": {
-        "@types/react": "^17.0.0 || ^18.0.0",
-        "react": "^17.0.0 || ^18.0.0",
-        "react-dom": "^17.0.0 || ^18.0.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        }
+        "url": "https://github.com/chalk/ansi-styles?sponsor=1"
       }
     },
-    "node_modules/@mui/base/node_modules/clsx": {
-      "version": "2.1.0",
-      "resolved": "https://registry.npmjs.org/clsx/-/clsx-2.1.0.tgz",
-      "integrity": "sha512-m3iNNWpd9rl3jvvcBnu70ylMdrXt8Vlq4HYadnU5fwcOtvkSQWPmj7amUcDT2qYI7risszBjI5AUIUox9D16pg==",
+    "node_modules/@jest/types/node_modules/chalk": {
+      "version": "4.1.2",
+      "resolved": "https://registry.npmjs.org/chalk/-/chalk-4.1.2.tgz",
+      "integrity": "sha512-oKnbhFyRIXpUuez8iBMmyEa4nbj4IOQyuhc/wy9kY7/WVPcwIO9VA668Pu8RkO7+0G76SLROeyw9CpQ061i4mA==",
+      "dev": true,
+      "dependencies": {
+        "ansi-styles": "^4.1.0",
+        "supports-color": "^7.1.0"
+      },
       "engines": {
-        "node": ">=6"
-      }
-    },
-    "node_modules/@mui/core-downloads-tracker": {
-      "version": "5.15.7",
-      "resolved": "https://registry.npmjs.org/@mui/core-downloads-tracker/-/core-downloads-tracker-5.15.7.tgz",
-      "integrity": "sha512-AuF+Wo2Mp/edaO6vJnWjg+gj4tzEz5ChMZnAQpc22DXpSvM8ddgGcZvM7D7F99pIBoSv8ub+Iz0viL+yuGVmhg==",
+        "node": ">=10"
+      },
       "funding": {
-        "type": "opencollective",
-        "url": "https://opencollective.com/mui-org"
+        "url": "https://github.com/chalk/chalk?sponsor=1"
       }
     },
-    "node_modules/@mui/material": {
-      "version": "5.15.7",
-      "resolved": "https://registry.npmjs.org/@mui/material/-/material-5.15.7.tgz",
-      "integrity": "sha512-l6+AiKZH3iOJmZCnlpel8ghYQe9Lq0BEuKP8fGj3g5xz4arO9GydqYAtLPMvuHKtArj8lJGNuT2yHYxmejincA==",
+    "node_modules/@jest/types/node_modules/color-convert": {
+      "version": "2.0.1",
+      "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-2.0.1.tgz",
+      "integrity": "sha512-RRECPsj7iu/xb5oKYcsFHSppFNnsj/52OVTRKb4zP5onXwVF3zVmmToNcOfGC+CRDpfK/U584fMg38ZHCaElKQ==",
+      "dev": true,
       "dependencies": {
-        "@babel/runtime": "^7.23.9",
-        "@mui/base": "5.0.0-beta.34",
-        "@mui/core-downloads-tracker": "^5.15.7",
-        "@mui/system": "^5.15.7",
-        "@mui/types": "^7.2.13",
-        "@mui/utils": "^5.15.7",
-        "@types/react-transition-group": "^4.4.10",
-        "clsx": "^2.1.0",
-        "csstype": "^3.1.2",
-        "prop-types": "^15.8.1",
-        "react-is": "^18.2.0",
-        "react-transition-group": "^4.4.5"
+        "color-name": "~1.1.4"
       },
       "engines": {
-        "node": ">=12.0.0"
-      },
-      "funding": {
-        "type": "opencollective",
-        "url": "https://opencollective.com/mui-org"
-      },
-      "peerDependencies": {
-        "@emotion/react": "^11.5.0",
-        "@emotion/styled": "^11.3.0",
-        "@types/react": "^17.0.0 || ^18.0.0",
-        "react": "^17.0.0 || ^18.0.0",
-        "react-dom": "^17.0.0 || ^18.0.0"
-      },
-      "peerDependenciesMeta": {
-        "@emotion/react": {
-          "optional": true
-        },
-        "@emotion/styled": {
-          "optional": true
-        },
-        "@types/react": {
-          "optional": true
-        }
+        "node": ">=7.0.0"
       }
     },
-    "node_modules/@mui/material/node_modules/clsx": {
-      "version": "2.1.0",
-      "resolved": "https://registry.npmjs.org/clsx/-/clsx-2.1.0.tgz",
-      "integrity": "sha512-m3iNNWpd9rl3jvvcBnu70ylMdrXt8Vlq4HYadnU5fwcOtvkSQWPmj7amUcDT2qYI7risszBjI5AUIUox9D16pg==",
+    "node_modules/@jest/types/node_modules/color-name": {
+      "version": "1.1.4",
+      "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz",
+      "integrity": "sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA==",
+      "dev": true
+    },
+    "node_modules/@jest/types/node_modules/has-flag": {
+      "version": "4.0.0",
+      "resolved": "https://registry.npmjs.org/has-flag/-/has-flag-4.0.0.tgz",
+      "integrity": "sha512-EykJT/Q1KjTWctppgIAgfSO0tKVuZUjhgMr17kqTumMl6Afv3EISleU7qZUzoXDFTAHTDC4NOoG/ZxU3EvlMPQ==",
+      "dev": true,
       "engines": {
-        "node": ">=6"
+        "node": ">=8"
       }
     },
-    "node_modules/@mui/private-theming": {
-      "version": "5.15.7",
-      "resolved": "https://registry.npmjs.org/@mui/private-theming/-/private-theming-5.15.7.tgz",
-      "integrity": "sha512-bcEeeXm7GyQCQvN9dwo8htGv8/6tP05p0i02Z7GXm5EoDPlBcqTNGugsjNLoGq6B0SsdyanjJGw0Jw00o1yAOA==",
+    "node_modules/@jest/types/node_modules/supports-color": {
+      "version": "7.2.0",
+      "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-7.2.0.tgz",
+      "integrity": "sha512-qpCAvRl9stuOHveKsn7HncJRvv501qIacKzQlO/+Lwxc9+0q2wLyv4Dfvt80/DPn2pqOBsJdDiogXGR9+OvwRw==",
+      "dev": true,
       "dependencies": {
-        "@babel/runtime": "^7.23.9",
-        "@mui/utils": "^5.15.7",
-        "prop-types": "^15.8.1"
+        "has-flag": "^4.0.0"
       },
       "engines": {
-        "node": ">=12.0.0"
-      },
-      "funding": {
-        "type": "opencollective",
-        "url": "https://opencollective.com/mui-org"
-      },
-      "peerDependencies": {
-        "@types/react": "^17.0.0 || ^18.0.0",
-        "react": "^17.0.0 || ^18.0.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        }
+        "node": ">=8"
       }
     },
-    "node_modules/@mui/styled-engine": {
-      "version": "5.15.7",
-      "resolved": "https://registry.npmjs.org/@mui/styled-engine/-/styled-engine-5.15.7.tgz",
-      "integrity": "sha512-ixSdslOjK1kzdGcxqj7O3d14By/LPQ7EWknsViQ8RaeT863EAQemS+zvUJDTcOpkfJh6q6gPnYMIb2TJCs9eWA==",
+    "node_modules/@jridgewell/gen-mapping": {
+      "version": "0.3.5",
+      "resolved": "https://registry.npmjs.org/@jridgewell/gen-mapping/-/gen-mapping-0.3.5.tgz",
+      "integrity": "sha512-IzL8ZoEDIBRWEzlCcRhOaCupYyN5gdIK+Q6fbFdPDg6HqX6jpkItn7DFIpW9LQzXG6Df9sA7+OKnq0qlz/GaQg==",
       "dependencies": {
-        "@babel/runtime": "^7.23.9",
-        "@emotion/cache": "^11.11.0",
-        "csstype": "^3.1.2",
-        "prop-types": "^15.8.1"
+        "@jridgewell/set-array": "^1.2.1",
+        "@jridgewell/sourcemap-codec": "^1.4.10",
+        "@jridgewell/trace-mapping": "^0.3.24"
       },
       "engines": {
-        "node": ">=12.0.0"
-      },
-      "funding": {
-        "type": "opencollective",
-        "url": "https://opencollective.com/mui-org"
-      },
-      "peerDependencies": {
-        "@emotion/react": "^11.4.1",
-        "@emotion/styled": "^11.3.0",
-        "react": "^17.0.0 || ^18.0.0"
-      },
-      "peerDependenciesMeta": {
-        "@emotion/react": {
-          "optional": true
-        },
-        "@emotion/styled": {
-          "optional": true
-        }
+        "node": ">=6.0.0"
       }
     },
-    "node_modules/@mui/system": {
-      "version": "5.15.7",
-      "resolved": "https://registry.npmjs.org/@mui/system/-/system-5.15.7.tgz",
-      "integrity": "sha512-9alZ4/dLxsTwUOdqakgzxiL5YW6ntqj0CfzWImgWnBMTZhgGcPsbYpBLniNkkk7/jptma4/bykWXHwju/ls/pg==",
-      "dependencies": {
-        "@babel/runtime": "^7.23.9",
-        "@mui/private-theming": "^5.15.7",
-        "@mui/styled-engine": "^5.15.7",
-        "@mui/types": "^7.2.13",
-        "@mui/utils": "^5.15.7",
-        "clsx": "^2.1.0",
-        "csstype": "^3.1.2",
-        "prop-types": "^15.8.1"
-      },
+    "node_modules/@jridgewell/resolve-uri": {
+      "version": "3.1.2",
+      "resolved": "https://registry.npmjs.org/@jridgewell/resolve-uri/-/resolve-uri-3.1.2.tgz",
+      "integrity": "sha512-bRISgCIjP20/tbWSPWMEi54QVPRZExkuD9lJL+UIxUKtwVJA8wW1Trb1jMs1RFXo1CBTNZ/5hpC9QvmKWdopKw==",
       "engines": {
-        "node": ">=12.0.0"
-      },
-      "funding": {
-        "type": "opencollective",
-        "url": "https://opencollective.com/mui-org"
-      },
-      "peerDependencies": {
-        "@emotion/react": "^11.5.0",
-        "@emotion/styled": "^11.3.0",
-        "@types/react": "^17.0.0 || ^18.0.0",
-        "react": "^17.0.0 || ^18.0.0"
-      },
-      "peerDependenciesMeta": {
-        "@emotion/react": {
-          "optional": true
-        },
-        "@emotion/styled": {
-          "optional": true
-        },
-        "@types/react": {
-          "optional": true
-        }
+        "node": ">=6.0.0"
       }
     },
-    "node_modules/@mui/system/node_modules/clsx": {
-      "version": "2.1.0",
-      "resolved": "https://registry.npmjs.org/clsx/-/clsx-2.1.0.tgz",
-      "integrity": "sha512-m3iNNWpd9rl3jvvcBnu70ylMdrXt8Vlq4HYadnU5fwcOtvkSQWPmj7amUcDT2qYI7risszBjI5AUIUox9D16pg==",
+    "node_modules/@jridgewell/set-array": {
+      "version": "1.2.1",
+      "resolved": "https://registry.npmjs.org/@jridgewell/set-array/-/set-array-1.2.1.tgz",
+      "integrity": "sha512-R8gLRTZeyp03ymzP/6Lil/28tGeGEzhx1q2k703KGWRAI1VdvPIXdG70VJc2pAMw3NA6JKL5hhFu1sJX0Mnn/A==",
       "engines": {
-        "node": ">=6"
+        "node": ">=6.0.0"
       }
     },
-    "node_modules/@mui/types": {
-      "version": "7.2.13",
-      "resolved": "https://registry.npmjs.org/@mui/types/-/types-7.2.13.tgz",
-      "integrity": "sha512-qP9OgacN62s+l8rdDhSFRe05HWtLLJ5TGclC9I1+tQngbssu0m2dmFZs+Px53AcOs9fD7TbYd4gc9AXzVqO/+g==",
-      "peerDependencies": {
-        "@types/react": "^17.0.0 || ^18.0.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        }
-      }
+    "node_modules/@jridgewell/sourcemap-codec": {
+      "version": "1.4.15",
+      "resolved": "https://registry.npmjs.org/@jridgewell/sourcemap-codec/-/sourcemap-codec-1.4.15.tgz",
+      "integrity": "sha512-eF2rxCRulEKXHTRiDrDy6erMYWqNw4LPdQ8UQA4huuxaQsVeRPFl2oM8oDGxMFhJUWZf9McpLtJasDDZb/Bpeg=="
     },
-    "node_modules/@mui/utils": {
-      "version": "5.15.7",
-      "resolved": "https://registry.npmjs.org/@mui/utils/-/utils-5.15.7.tgz",
-      "integrity": "sha512-8qhsxQRNV6aEOjjSk6YQIYJxkF5klhj8oG1FEEU4z6HV78TjNqRxMP08QGcdsibEbez+nihAaz6vu83b4XqbAg==",
+    "node_modules/@jridgewell/trace-mapping": {
+      "version": "0.3.25",
+      "resolved": "https://registry.npmjs.org/@jridgewell/trace-mapping/-/trace-mapping-0.3.25.tgz",
+      "integrity": "sha512-vNk6aEwybGtawWmy/PzwnGDOjCkLWSD2wqvjGGAgOAwCGWySYXfYoxt00IJkTF+8Lb57DwOb3Aa0o9CApepiYQ==",
       "dependencies": {
-        "@babel/runtime": "^7.23.9",
-        "@types/prop-types": "^15.7.11",
-        "prop-types": "^15.8.1",
-        "react-is": "^18.2.0"
-      },
-      "engines": {
-        "node": ">=12.0.0"
-      },
-      "funding": {
-        "type": "opencollective",
-        "url": "https://opencollective.com/mui-org"
-      },
-      "peerDependencies": {
-        "@types/react": "^17.0.0 || ^18.0.0",
-        "react": "^17.0.0 || ^18.0.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        }
+        "@jridgewell/resolve-uri": "^3.1.0",
+        "@jridgewell/sourcemap-codec": "^1.4.14"
       }
     },
-    "node_modules/@nodelib/fs.scandir": {
-      "version": "2.1.5",
-      "resolved": "https://registry.npmjs.org/@nodelib/fs.scandir/-/fs.scandir-2.1.5.tgz",
-      "integrity": "sha512-vq24Bq3ym5HEQm2NKCr3yXDwjc7vTsEThRDnkp2DK9p1uqLR+DHurm/NOTo0KG7HYHU7eppKZj3MyqYuMBf62g==",
+    "node_modules/@mapbox/node-pre-gyp": {
+      "version": "1.0.11",
+      "resolved": "https://registry.npmjs.org/@mapbox/node-pre-gyp/-/node-pre-gyp-1.0.11.tgz",
+      "integrity": "sha512-Yhlar6v9WQgUp/He7BdgzOz8lqMQ8sU+jkCq7Wx8Myc5YFJLbEe7lgui/V7G1qB1DJykHSGwreceSaD60Y0PUQ==",
+      "optional": true,
       "dependencies": {
-        "@nodelib/fs.stat": "2.0.5",
-        "run-parallel": "^1.1.9"
+        "detect-libc": "^2.0.0",
+        "https-proxy-agent": "^5.0.0",
+        "make-dir": "^3.1.0",
+        "node-fetch": "^2.6.7",
+        "nopt": "^5.0.0",
+        "npmlog": "^5.0.1",
+        "rimraf": "^3.0.2",
+        "semver": "^7.3.5",
+        "tar": "^6.1.11"
       },
-      "engines": {
-        "node": ">= 8"
+      "bin": {
+        "node-pre-gyp": "bin/node-pre-gyp"
       }
     },
-    "node_modules/@nodelib/fs.stat": {
-      "version": "2.0.5",
-      "resolved": "https://registry.npmjs.org/@nodelib/fs.stat/-/fs.stat-2.0.5.tgz",
-      "integrity": "sha512-RkhPPp2zrqDAQA/2jNhnztcPAlv64XdhIp7a7454A5ovI7Bukxgt7MX7udwAu3zg1DcpPU0rz3VV1SeaqvY4+A==",
+    "node_modules/@mapbox/node-pre-gyp/node_modules/semver": {
+      "version": "7.6.2",
+      "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.2.tgz",
+      "integrity": "sha512-FNAIBWCx9qcRhoHcgcJ0gvU7SN1lYU2ZXuSfl04bSC5OpvDHFyJCjdNHomPXxjQlCBU67YW64PzY7/VIEH7F2w==",
+      "optional": true,
+      "bin": {
+        "semver": "bin/semver.js"
+      },
       "engines": {
-        "node": ">= 8"
+        "node": ">=10"
       }
     },
-    "node_modules/@nodelib/fs.walk": {
-      "version": "1.2.8",
-      "resolved": "https://registry.npmjs.org/@nodelib/fs.walk/-/fs.walk-1.2.8.tgz",
-      "integrity": "sha512-oGB+UxlgWcgQkgwo8GcEGwemoTFt3FIO9ababBmaGwXIoBKZ+GTy0pP185beGg7Llih/NSHSV2XAs1lnznocSg==",
+    "node_modules/@million/install": {
+      "version": "0.0.16",
+      "resolved": "https://registry.npmjs.org/@million/install/-/install-0.0.16.tgz",
+      "integrity": "sha512-v281XJsOjhBBuF0X2ajmYxevgQET2r2BVSuj1BJa/RToP6lvA5zSnXe1ZNyR2ifDL9uujkUltGu55p6VRSz4/Q==",
       "dependencies": {
-        "@nodelib/fs.scandir": "2.1.5",
-        "fastq": "^1.6.0"
+        "@antfu/ni": "^0.21.12",
+        "@axiomhq/js": "1.0.0-rc.3",
+        "@babel/core": "^7.24.5",
+        "@babel/types": "^7.23.6",
+        "@clack/prompts": "^0.7.0",
+        "cli-high": "^0.4.2",
+        "diff": "^5.1.0",
+        "nanoid": "^5.0.7",
+        "xycolors": "^0.1.2"
       },
+      "bin": {
+        "install": "bin/index.js"
+      }
+    },
+    "node_modules/@million/lint": {
+      "version": "1.0.0-rc.26",
+      "resolved": "https://registry.npmjs.org/@million/lint/-/lint-1.0.0-rc.26.tgz",
+      "integrity": "sha512-TzUpgXFUktyLmRaph/NtPBn5rKDEERbjhpqaJ97E/Gk/2RD/kof/D1nA9d7EmOANIwBLTlvIZbAxeijuZKNHzA==",
+      "dependencies": {
+        "@axiomhq/js": "1.0.0-rc.3",
+        "@babel/core": "7.24.6",
+        "@babel/types": "7.24.6",
+        "@hono/node-server": "^1.11.1",
+        "@million/install": "latest",
+        "@rollup/pluginutils": "^5.1.0",
+        "babel-plugin-syntax-hermes-parser": "^0.21.1",
+        "esbuild": "^0.20.1",
+        "hono": "^4.3.2",
+        "isomorphic-fetch": "^3.0.0",
+        "pathe": "^1.1.2",
+        "piscina": "^4.4.0",
+        "posthog-node": "^3.6.3",
+        "pretty-ms": "8.0.0",
+        "react-reconciler": "^0.29.0",
+        "socket.io-client": "^4.7.5",
+        "tmp": "^0.2.3",
+        "unplugin": "^1.6.0"
+      },
+      "bin": {
+        "lint": "cli.js"
+      }
+    },
+    "node_modules/@million/lint/node_modules/@esbuild/aix-ppc64": {
+      "version": "0.20.2",
+      "resolved": "https://registry.npmjs.org/@esbuild/aix-ppc64/-/aix-ppc64-0.20.2.tgz",
+      "integrity": "sha512-D+EBOJHXdNZcLJRBkhENNG8Wji2kgc9AZ9KiPr1JuZjsNtyHzrsfLRrY0tk2H2aoFu6RANO1y1iPPUCDYWkb5g==",
+      "cpu": [
+        "ppc64"
+      ],
+      "optional": true,
+      "os": [
+        "aix"
+      ],
       "engines": {
-        "node": ">= 8"
+        "node": ">=12"
       }
     },
-    "node_modules/@pkgjs/parseargs": {
-      "version": "0.11.0",
-      "resolved": "https://registry.npmjs.org/@pkgjs/parseargs/-/parseargs-0.11.0.tgz",
-      "integrity": "sha512-+1VkjdD0QBLPodGrJUeqarH8VAIvQODIbwh9XpP5Syisf7YoQgsJKPNFoqqLQlu+VQ/tVSshMR6loPMn8U+dPg==",
+    "node_modules/@million/lint/node_modules/@esbuild/android-arm": {
+      "version": "0.20.2",
+      "resolved": "https://registry.npmjs.org/@esbuild/android-arm/-/android-arm-0.20.2.tgz",
+      "integrity": "sha512-t98Ra6pw2VaDhqNWO2Oph2LXbz/EJcnLmKLGBJwEwXX/JAN83Fym1rU8l0JUWK6HkIbWONCSSatf4sf2NBRx/w==",
+      "cpu": [
+        "arm"
+      ],
       "optional": true,
+      "os": [
+        "android"
+      ],
       "engines": {
-        "node": ">=14"
+        "node": ">=12"
       }
     },
-    "node_modules/@playwright/test": {
-      "version": "1.41.2",
-      "resolved": "https://registry.npmjs.org/@playwright/test/-/test-1.41.2.tgz",
-      "integrity": "sha512-qQB9h7KbibJzrDpkXkYvsmiDJK14FULCCZgEcoe2AvFAS64oCirWTwzTlAYEbKaRxWs5TFesE1Na6izMv3HfGg==",
-      "dev": true,
-      "dependencies": {
-        "playwright": "1.41.2"
-      },
-      "bin": {
-        "playwright": "cli.js"
-      },
+    "node_modules/@million/lint/node_modules/@esbuild/android-arm64": {
+      "version": "0.20.2",
+      "resolved": "https://registry.npmjs.org/@esbuild/android-arm64/-/android-arm64-0.20.2.tgz",
+      "integrity": "sha512-mRzjLacRtl/tWU0SvD8lUEwb61yP9cqQo6noDZP/O8VkwafSYwZ4yWy24kan8jE/IMERpYncRt2dw438LP3Xmg==",
+      "cpu": [
+        "arm64"
+      ],
+      "optional": true,
+      "os": [
+        "android"
+      ],
       "engines": {
-        "node": ">=16"
+        "node": ">=12"
       }
     },
-    "node_modules/@popperjs/core": {
-      "version": "2.11.8",
-      "resolved": "https://registry.npmjs.org/@popperjs/core/-/core-2.11.8.tgz",
-      "integrity": "sha512-P1st0aksCrn9sGZhp8GMYwBnQsbvAWsZAX44oXNNvLHGqAOcoVxmjZiohstwQ7SqKnbR47akdNi+uleWD8+g6A==",
-      "funding": {
-        "type": "opencollective",
-        "url": "https://opencollective.com/popperjs"
+    "node_modules/@million/lint/node_modules/@esbuild/android-x64": {
+      "version": "0.20.2",
+      "resolved": "https://registry.npmjs.org/@esbuild/android-x64/-/android-x64-0.20.2.tgz",
+      "integrity": "sha512-btzExgV+/lMGDDa194CcUQm53ncxzeBrWJcncOBxuC6ndBkKxnHdFJn86mCIgTELsooUmwUm9FkhSp5HYu00Rg==",
+      "cpu": [
+        "x64"
+      ],
+      "optional": true,
+      "os": [
+        "android"
+      ],
+      "engines": {
+        "node": ">=12"
       }
     },
-    "node_modules/@preact/signals-core": {
-      "version": "1.5.1",
-      "resolved": "https://registry.npmjs.org/@preact/signals-core/-/signals-core-1.5.1.tgz",
-      "integrity": "sha512-dE6f+WCX5ZUDwXzUIWNMhhglmuLpqJhuy3X3xHrhZYI0Hm2LyQwOu0l9mdPiWrVNsE+Q7txOnJPgtIqHCYoBVA==",
-      "funding": {
-        "type": "opencollective",
-        "url": "https://opencollective.com/preact"
+    "node_modules/@million/lint/node_modules/@esbuild/darwin-arm64": {
+      "version": "0.20.2",
+      "resolved": "https://registry.npmjs.org/@esbuild/darwin-arm64/-/darwin-arm64-0.20.2.tgz",
+      "integrity": "sha512-4J6IRT+10J3aJH3l1yzEg9y3wkTDgDk7TSDFX+wKFiWjqWp/iCfLIYzGyasx9l0SAFPT1HwSCR+0w/h1ES/MjA==",
+      "cpu": [
+        "arm64"
+      ],
+      "optional": true,
+      "os": [
+        "darwin"
+      ],
+      "engines": {
+        "node": ">=12"
+      }
+    },
+    "node_modules/@million/lint/node_modules/@esbuild/darwin-x64": {
+      "version": "0.20.2",
+      "resolved": "https://registry.npmjs.org/@esbuild/darwin-x64/-/darwin-x64-0.20.2.tgz",
+      "integrity": "sha512-tBcXp9KNphnNH0dfhv8KYkZhjc+H3XBkF5DKtswJblV7KlT9EI2+jeA8DgBjp908WEuYll6pF+UStUCfEpdysA==",
+      "cpu": [
+        "x64"
+      ],
+      "optional": true,
+      "os": [
+        "darwin"
+      ],
+      "engines": {
+        "node": ">=12"
+      }
+    },
+    "node_modules/@million/lint/node_modules/@esbuild/freebsd-arm64": {
+      "version": "0.20.2",
+      "resolved": "https://registry.npmjs.org/@esbuild/freebsd-arm64/-/freebsd-arm64-0.20.2.tgz",
+      "integrity": "sha512-d3qI41G4SuLiCGCFGUrKsSeTXyWG6yem1KcGZVS+3FYlYhtNoNgYrWcvkOoaqMhwXSMrZRl69ArHsGJ9mYdbbw==",
+      "cpu": [
+        "arm64"
+      ],
+      "optional": true,
+      "os": [
+        "freebsd"
+      ],
+      "engines": {
+        "node": ">=12"
+      }
+    },
+    "node_modules/@million/lint/node_modules/@esbuild/freebsd-x64": {
+      "version": "0.20.2",
+      "resolved": "https://registry.npmjs.org/@esbuild/freebsd-x64/-/freebsd-x64-0.20.2.tgz",
+      "integrity": "sha512-d+DipyvHRuqEeM5zDivKV1KuXn9WeRX6vqSqIDgwIfPQtwMP4jaDsQsDncjTDDsExT4lR/91OLjRo8bmC1e+Cw==",
+      "cpu": [
+        "x64"
+      ],
+      "optional": true,
+      "os": [
+        "freebsd"
+      ],
+      "engines": {
+        "node": ">=12"
+      }
+    },
+    "node_modules/@million/lint/node_modules/@esbuild/linux-arm": {
+      "version": "0.20.2",
+      "resolved": "https://registry.npmjs.org/@esbuild/linux-arm/-/linux-arm-0.20.2.tgz",
+      "integrity": "sha512-VhLPeR8HTMPccbuWWcEUD1Az68TqaTYyj6nfE4QByZIQEQVWBB8vup8PpR7y1QHL3CpcF6xd5WVBU/+SBEvGTg==",
+      "cpu": [
+        "arm"
+      ],
+      "optional": true,
+      "os": [
+        "linux"
+      ],
+      "engines": {
+        "node": ">=12"
+      }
+    },
+    "node_modules/@million/lint/node_modules/@esbuild/linux-arm64": {
+      "version": "0.20.2",
+      "resolved": "https://registry.npmjs.org/@esbuild/linux-arm64/-/linux-arm64-0.20.2.tgz",
+      "integrity": "sha512-9pb6rBjGvTFNira2FLIWqDk/uaf42sSyLE8j1rnUpuzsODBq7FvpwHYZxQ/It/8b+QOS1RYfqgGFNLRI+qlq2A==",
+      "cpu": [
+        "arm64"
+      ],
+      "optional": true,
+      "os": [
+        "linux"
+      ],
+      "engines": {
+        "node": ">=12"
+      }
+    },
+    "node_modules/@million/lint/node_modules/@esbuild/linux-ia32": {
+      "version": "0.20.2",
+      "resolved": "https://registry.npmjs.org/@esbuild/linux-ia32/-/linux-ia32-0.20.2.tgz",
+      "integrity": "sha512-o10utieEkNPFDZFQm9CoP7Tvb33UutoJqg3qKf1PWVeeJhJw0Q347PxMvBgVVFgouYLGIhFYG0UGdBumROyiig==",
+      "cpu": [
+        "ia32"
+      ],
+      "optional": true,
+      "os": [
+        "linux"
+      ],
+      "engines": {
+        "node": ">=12"
+      }
+    },
+    "node_modules/@million/lint/node_modules/@esbuild/linux-loong64": {
+      "version": "0.20.2",
+      "resolved": "https://registry.npmjs.org/@esbuild/linux-loong64/-/linux-loong64-0.20.2.tgz",
+      "integrity": "sha512-PR7sp6R/UC4CFVomVINKJ80pMFlfDfMQMYynX7t1tNTeivQ6XdX5r2XovMmha/VjR1YN/HgHWsVcTRIMkymrgQ==",
+      "cpu": [
+        "loong64"
+      ],
+      "optional": true,
+      "os": [
+        "linux"
+      ],
+      "engines": {
+        "node": ">=12"
+      }
+    },
+    "node_modules/@million/lint/node_modules/@esbuild/linux-mips64el": {
+      "version": "0.20.2",
+      "resolved": "https://registry.npmjs.org/@esbuild/linux-mips64el/-/linux-mips64el-0.20.2.tgz",
+      "integrity": "sha512-4BlTqeutE/KnOiTG5Y6Sb/Hw6hsBOZapOVF6njAESHInhlQAghVVZL1ZpIctBOoTFbQyGW+LsVYZ8lSSB3wkjA==",
+      "cpu": [
+        "mips64el"
+      ],
+      "optional": true,
+      "os": [
+        "linux"
+      ],
+      "engines": {
+        "node": ">=12"
+      }
+    },
+    "node_modules/@million/lint/node_modules/@esbuild/linux-ppc64": {
+      "version": "0.20.2",
+      "resolved": "https://registry.npmjs.org/@esbuild/linux-ppc64/-/linux-ppc64-0.20.2.tgz",
+      "integrity": "sha512-rD3KsaDprDcfajSKdn25ooz5J5/fWBylaaXkuotBDGnMnDP1Uv5DLAN/45qfnf3JDYyJv/ytGHQaziHUdyzaAg==",
+      "cpu": [
+        "ppc64"
+      ],
+      "optional": true,
+      "os": [
+        "linux"
+      ],
+      "engines": {
+        "node": ">=12"
+      }
+    },
+    "node_modules/@million/lint/node_modules/@esbuild/linux-riscv64": {
+      "version": "0.20.2",
+      "resolved": "https://registry.npmjs.org/@esbuild/linux-riscv64/-/linux-riscv64-0.20.2.tgz",
+      "integrity": "sha512-snwmBKacKmwTMmhLlz/3aH1Q9T8v45bKYGE3j26TsaOVtjIag4wLfWSiZykXzXuE1kbCE+zJRmwp+ZbIHinnVg==",
+      "cpu": [
+        "riscv64"
+      ],
+      "optional": true,
+      "os": [
+        "linux"
+      ],
+      "engines": {
+        "node": ">=12"
+      }
+    },
+    "node_modules/@million/lint/node_modules/@esbuild/linux-s390x": {
+      "version": "0.20.2",
+      "resolved": "https://registry.npmjs.org/@esbuild/linux-s390x/-/linux-s390x-0.20.2.tgz",
+      "integrity": "sha512-wcWISOobRWNm3cezm5HOZcYz1sKoHLd8VL1dl309DiixxVFoFe/o8HnwuIwn6sXre88Nwj+VwZUvJf4AFxkyrQ==",
+      "cpu": [
+        "s390x"
+      ],
+      "optional": true,
+      "os": [
+        "linux"
+      ],
+      "engines": {
+        "node": ">=12"
+      }
+    },
+    "node_modules/@million/lint/node_modules/@esbuild/linux-x64": {
+      "version": "0.20.2",
+      "resolved": "https://registry.npmjs.org/@esbuild/linux-x64/-/linux-x64-0.20.2.tgz",
+      "integrity": "sha512-1MdwI6OOTsfQfek8sLwgyjOXAu+wKhLEoaOLTjbijk6E2WONYpH9ZU2mNtR+lZ2B4uwr+usqGuVfFT9tMtGvGw==",
+      "cpu": [
+        "x64"
+      ],
+      "optional": true,
+      "os": [
+        "linux"
+      ],
+      "engines": {
+        "node": ">=12"
+      }
+    },
+    "node_modules/@million/lint/node_modules/@esbuild/netbsd-x64": {
+      "version": "0.20.2",
+      "resolved": "https://registry.npmjs.org/@esbuild/netbsd-x64/-/netbsd-x64-0.20.2.tgz",
+      "integrity": "sha512-K8/DhBxcVQkzYc43yJXDSyjlFeHQJBiowJ0uVL6Tor3jGQfSGHNNJcWxNbOI8v5k82prYqzPuwkzHt3J1T1iZQ==",
+      "cpu": [
+        "x64"
+      ],
+      "optional": true,
+      "os": [
+        "netbsd"
+      ],
+      "engines": {
+        "node": ">=12"
+      }
+    },
+    "node_modules/@million/lint/node_modules/@esbuild/openbsd-x64": {
+      "version": "0.20.2",
+      "resolved": "https://registry.npmjs.org/@esbuild/openbsd-x64/-/openbsd-x64-0.20.2.tgz",
+      "integrity": "sha512-eMpKlV0SThJmmJgiVyN9jTPJ2VBPquf6Kt/nAoo6DgHAoN57K15ZghiHaMvqjCye/uU4X5u3YSMgVBI1h3vKrQ==",
+      "cpu": [
+        "x64"
+      ],
+      "optional": true,
+      "os": [
+        "openbsd"
+      ],
+      "engines": {
+        "node": ">=12"
+      }
+    },
+    "node_modules/@million/lint/node_modules/@esbuild/sunos-x64": {
+      "version": "0.20.2",
+      "resolved": "https://registry.npmjs.org/@esbuild/sunos-x64/-/sunos-x64-0.20.2.tgz",
+      "integrity": "sha512-2UyFtRC6cXLyejf/YEld4Hajo7UHILetzE1vsRcGL3earZEW77JxrFjH4Ez2qaTiEfMgAXxfAZCm1fvM/G/o8w==",
+      "cpu": [
+        "x64"
+      ],
+      "optional": true,
+      "os": [
+        "sunos"
+      ],
+      "engines": {
+        "node": ">=12"
+      }
+    },
+    "node_modules/@million/lint/node_modules/@esbuild/win32-arm64": {
+      "version": "0.20.2",
+      "resolved": "https://registry.npmjs.org/@esbuild/win32-arm64/-/win32-arm64-0.20.2.tgz",
+      "integrity": "sha512-GRibxoawM9ZCnDxnP3usoUDO9vUkpAxIIZ6GQI+IlVmr5kP3zUq+l17xELTHMWTWzjxa2guPNyrpq1GWmPvcGQ==",
+      "cpu": [
+        "arm64"
+      ],
+      "optional": true,
+      "os": [
+        "win32"
+      ],
+      "engines": {
+        "node": ">=12"
+      }
+    },
+    "node_modules/@million/lint/node_modules/@esbuild/win32-ia32": {
+      "version": "0.20.2",
+      "resolved": "https://registry.npmjs.org/@esbuild/win32-ia32/-/win32-ia32-0.20.2.tgz",
+      "integrity": "sha512-HfLOfn9YWmkSKRQqovpnITazdtquEW8/SoHW7pWpuEeguaZI4QnCRW6b+oZTztdBnZOS2hqJ6im/D5cPzBTTlQ==",
+      "cpu": [
+        "ia32"
+      ],
+      "optional": true,
+      "os": [
+        "win32"
+      ],
+      "engines": {
+        "node": ">=12"
+      }
+    },
+    "node_modules/@million/lint/node_modules/@esbuild/win32-x64": {
+      "version": "0.20.2",
+      "resolved": "https://registry.npmjs.org/@esbuild/win32-x64/-/win32-x64-0.20.2.tgz",
+      "integrity": "sha512-N49X4lJX27+l9jbLKSqZ6bKNjzQvHaT8IIFUy+YIqmXQdjYCToGWwOItDrfby14c78aDd5NHQl29xingXfCdLQ==",
+      "cpu": [
+        "x64"
+      ],
+      "optional": true,
+      "os": [
+        "win32"
+      ],
+      "engines": {
+        "node": ">=12"
+      }
+    },
+    "node_modules/@million/lint/node_modules/esbuild": {
+      "version": "0.20.2",
+      "resolved": "https://registry.npmjs.org/esbuild/-/esbuild-0.20.2.tgz",
+      "integrity": "sha512-WdOOppmUNU+IbZ0PaDiTst80zjnrOkyJNHoKupIcVyU8Lvla3Ugx94VzkQ32Ijqd7UhHJy75gNWDMUekcrSJ6g==",
+      "hasInstallScript": true,
+      "bin": {
+        "esbuild": "bin/esbuild"
+      },
+      "engines": {
+        "node": ">=12"
+      },
+      "optionalDependencies": {
+        "@esbuild/aix-ppc64": "0.20.2",
+        "@esbuild/android-arm": "0.20.2",
+        "@esbuild/android-arm64": "0.20.2",
+        "@esbuild/android-x64": "0.20.2",
+        "@esbuild/darwin-arm64": "0.20.2",
+        "@esbuild/darwin-x64": "0.20.2",
+        "@esbuild/freebsd-arm64": "0.20.2",
+        "@esbuild/freebsd-x64": "0.20.2",
+        "@esbuild/linux-arm": "0.20.2",
+        "@esbuild/linux-arm64": "0.20.2",
+        "@esbuild/linux-ia32": "0.20.2",
+        "@esbuild/linux-loong64": "0.20.2",
+        "@esbuild/linux-mips64el": "0.20.2",
+        "@esbuild/linux-ppc64": "0.20.2",
+        "@esbuild/linux-riscv64": "0.20.2",
+        "@esbuild/linux-s390x": "0.20.2",
+        "@esbuild/linux-x64": "0.20.2",
+        "@esbuild/netbsd-x64": "0.20.2",
+        "@esbuild/openbsd-x64": "0.20.2",
+        "@esbuild/sunos-x64": "0.20.2",
+        "@esbuild/win32-arm64": "0.20.2",
+        "@esbuild/win32-ia32": "0.20.2",
+        "@esbuild/win32-x64": "0.20.2"
+      }
+    },
+    "node_modules/@mole-inc/bin-wrapper": {
+      "version": "8.0.1",
+      "resolved": "https://registry.npmjs.org/@mole-inc/bin-wrapper/-/bin-wrapper-8.0.1.tgz",
+      "integrity": "sha512-sTGoeZnjI8N4KS+sW2AN95gDBErhAguvkw/tWdCjeM8bvxpz5lqrnd0vOJABA1A+Ic3zED7PYoLP/RANLgVotA==",
+      "dev": true,
+      "dependencies": {
+        "bin-check": "^4.1.0",
+        "bin-version-check": "^5.0.0",
+        "content-disposition": "^0.5.4",
+        "ext-name": "^5.0.0",
+        "file-type": "^17.1.6",
+        "filenamify": "^5.0.2",
+        "got": "^11.8.5",
+        "os-filter-obj": "^2.0.0"
+      },
+      "engines": {
+        "node": "^12.20.0 || ^14.13.1 || >=16.0.0"
+      }
+    },
+    "node_modules/@nodelib/fs.scandir": {
+      "version": "2.1.5",
+      "resolved": "https://registry.npmjs.org/@nodelib/fs.scandir/-/fs.scandir-2.1.5.tgz",
+      "integrity": "sha512-vq24Bq3ym5HEQm2NKCr3yXDwjc7vTsEThRDnkp2DK9p1uqLR+DHurm/NOTo0KG7HYHU7eppKZj3MyqYuMBf62g==",
+      "dependencies": {
+        "@nodelib/fs.stat": "2.0.5",
+        "run-parallel": "^1.1.9"
+      },
+      "engines": {
+        "node": ">= 8"
+      }
+    },
+    "node_modules/@nodelib/fs.stat": {
+      "version": "2.0.5",
+      "resolved": "https://registry.npmjs.org/@nodelib/fs.stat/-/fs.stat-2.0.5.tgz",
+      "integrity": "sha512-RkhPPp2zrqDAQA/2jNhnztcPAlv64XdhIp7a7454A5ovI7Bukxgt7MX7udwAu3zg1DcpPU0rz3VV1SeaqvY4+A==",
+      "engines": {
+        "node": ">= 8"
+      }
+    },
+    "node_modules/@nodelib/fs.walk": {
+      "version": "1.2.8",
+      "resolved": "https://registry.npmjs.org/@nodelib/fs.walk/-/fs.walk-1.2.8.tgz",
+      "integrity": "sha512-oGB+UxlgWcgQkgwo8GcEGwemoTFt3FIO9ababBmaGwXIoBKZ+GTy0pP185beGg7Llih/NSHSV2XAs1lnznocSg==",
+      "dependencies": {
+        "@nodelib/fs.scandir": "2.1.5",
+        "fastq": "^1.6.0"
+      },
+      "engines": {
+        "node": ">= 8"
+      }
+    },
+    "node_modules/@pkgjs/parseargs": {
+      "version": "0.11.0",
+      "resolved": "https://registry.npmjs.org/@pkgjs/parseargs/-/parseargs-0.11.0.tgz",
+      "integrity": "sha512-+1VkjdD0QBLPodGrJUeqarH8VAIvQODIbwh9XpP5Syisf7YoQgsJKPNFoqqLQlu+VQ/tVSshMR6loPMn8U+dPg==",
+      "optional": true,
+      "engines": {
+        "node": ">=14"
+      }
+    },
+    "node_modules/@playwright/test": {
+      "version": "1.44.1",
+      "resolved": "https://registry.npmjs.org/@playwright/test/-/test-1.44.1.tgz",
+      "integrity": "sha512-1hZ4TNvD5z9VuhNJ/walIjvMVvYkZKf71axoF/uiAqpntQJXpG64dlXhoDXE3OczPuTuvjf/M5KWFg5VAVUS3Q==",
+      "dev": true,
+      "dependencies": {
+        "playwright": "1.44.1"
+      },
+      "bin": {
+        "playwright": "cli.js"
+      },
+      "engines": {
+        "node": ">=16"
+      }
+    },
+    "node_modules/@radix-ui/number": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/number/-/number-1.1.0.tgz",
+      "integrity": "sha512-V3gRzhVNU1ldS5XhAPTom1fOIo4ccrjjJgmE+LI2h/WaFpHmx0MQApT+KZHnx8abG6Avtfcz4WoEciMnpFT3HQ=="
+    },
+    "node_modules/@radix-ui/primitive": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/primitive/-/primitive-1.1.0.tgz",
+      "integrity": "sha512-4Z8dn6Upk0qk4P74xBhZ6Hd/w0mPEzOOLxy4xiPXOXqjF7jZS0VAKk7/x/H6FyY2zCkYJqePf1G5KmkmNJ4RBA=="
+    },
+    "node_modules/@radix-ui/react-accordion": {
+      "version": "1.2.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-accordion/-/react-accordion-1.2.0.tgz",
+      "integrity": "sha512-HJOzSX8dQqtsp/3jVxCU3CXEONF7/2jlGAB28oX8TTw1Dz8JYbEI1UcL8355PuLBE41/IRRMvCw7VkiK/jcUOQ==",
+      "dependencies": {
+        "@radix-ui/primitive": "1.1.0",
+        "@radix-ui/react-collapsible": "1.1.0",
+        "@radix-ui/react-collection": "1.1.0",
+        "@radix-ui/react-compose-refs": "1.1.0",
+        "@radix-ui/react-context": "1.1.0",
+        "@radix-ui/react-direction": "1.1.0",
+        "@radix-ui/react-id": "1.1.0",
+        "@radix-ui/react-primitive": "2.0.0",
+        "@radix-ui/react-use-controllable-state": "1.1.0"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "@types/react-dom": "*",
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc",
+        "react-dom": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        },
+        "@types/react-dom": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-arrow": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-arrow/-/react-arrow-1.1.0.tgz",
+      "integrity": "sha512-FmlW1rCg7hBpEBwFbjHwCW6AmWLQM6g/v0Sn8XbP9NvmSZ2San1FpQeyPtufzOMSIx7Y4dzjlHoifhp+7NkZhw==",
+      "dependencies": {
+        "@radix-ui/react-primitive": "2.0.0"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "@types/react-dom": "*",
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc",
+        "react-dom": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        },
+        "@types/react-dom": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-checkbox": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-checkbox/-/react-checkbox-1.1.0.tgz",
+      "integrity": "sha512-3+kSzVfMONtP3B6CvaOrXLVTyGYws7tGmG5kOY0AfyH9sexkLytIwciNwjZhY0RoGOEbxI7bMS21XYB8H5itWQ==",
+      "dependencies": {
+        "@radix-ui/primitive": "1.1.0",
+        "@radix-ui/react-compose-refs": "1.1.0",
+        "@radix-ui/react-context": "1.1.0",
+        "@radix-ui/react-presence": "1.1.0",
+        "@radix-ui/react-primitive": "2.0.0",
+        "@radix-ui/react-use-controllable-state": "1.1.0",
+        "@radix-ui/react-use-previous": "1.1.0",
+        "@radix-ui/react-use-size": "1.1.0"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "@types/react-dom": "*",
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc",
+        "react-dom": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        },
+        "@types/react-dom": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-collapsible": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-collapsible/-/react-collapsible-1.1.0.tgz",
+      "integrity": "sha512-zQY7Epa8sTL0mq4ajSJpjgn2YmCgyrG7RsQgLp3C0LQVkG7+Tf6Pv1CeNWZLyqMjhdPkBa5Lx7wYBeSu7uCSTA==",
+      "dependencies": {
+        "@radix-ui/primitive": "1.1.0",
+        "@radix-ui/react-compose-refs": "1.1.0",
+        "@radix-ui/react-context": "1.1.0",
+        "@radix-ui/react-id": "1.1.0",
+        "@radix-ui/react-presence": "1.1.0",
+        "@radix-ui/react-primitive": "2.0.0",
+        "@radix-ui/react-use-controllable-state": "1.1.0",
+        "@radix-ui/react-use-layout-effect": "1.1.0"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "@types/react-dom": "*",
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc",
+        "react-dom": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        },
+        "@types/react-dom": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-collection": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-collection/-/react-collection-1.1.0.tgz",
+      "integrity": "sha512-GZsZslMJEyo1VKm5L1ZJY8tGDxZNPAoUeQUIbKeJfoi7Q4kmig5AsgLMYYuyYbfjd8fBmFORAIwYAkXMnXZgZw==",
+      "dependencies": {
+        "@radix-ui/react-compose-refs": "1.1.0",
+        "@radix-ui/react-context": "1.1.0",
+        "@radix-ui/react-primitive": "2.0.0",
+        "@radix-ui/react-slot": "1.1.0"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "@types/react-dom": "*",
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc",
+        "react-dom": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        },
+        "@types/react-dom": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-compose-refs": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-compose-refs/-/react-compose-refs-1.1.0.tgz",
+      "integrity": "sha512-b4inOtiaOnYf9KWyO3jAeeCG6FeyfY6ldiEPanbUjWd+xIk5wZeHa8yVwmrJ2vderhu/BQvzCrJI0lHd+wIiqw==",
+      "peerDependencies": {
+        "@types/react": "*",
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-context": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-context/-/react-context-1.1.0.tgz",
+      "integrity": "sha512-OKrckBy+sMEgYM/sMmqmErVn0kZqrHPJze+Ql3DzYsDDp0hl0L62nx/2122/Bvps1qz645jlcu2tD9lrRSdf8A==",
+      "peerDependencies": {
+        "@types/react": "*",
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-dialog": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-dialog/-/react-dialog-1.1.0.tgz",
+      "integrity": "sha512-oiSJcsjbdC8JqbXrOuhOd7oaEaPp3x2L2zn6V7ie6SSpEjrAha/WabDX4po6laGwbhAu9DT0XxHL0DmcIXrR0A==",
+      "dependencies": {
+        "@radix-ui/primitive": "1.1.0",
+        "@radix-ui/react-compose-refs": "1.1.0",
+        "@radix-ui/react-context": "1.1.0",
+        "@radix-ui/react-dismissable-layer": "1.1.0",
+        "@radix-ui/react-focus-guards": "1.1.0",
+        "@radix-ui/react-focus-scope": "1.1.0",
+        "@radix-ui/react-id": "1.1.0",
+        "@radix-ui/react-portal": "1.1.0",
+        "@radix-ui/react-presence": "1.1.0",
+        "@radix-ui/react-primitive": "2.0.0",
+        "@radix-ui/react-slot": "1.1.0",
+        "@radix-ui/react-use-controllable-state": "1.1.0",
+        "aria-hidden": "^1.1.1",
+        "react-remove-scroll": "2.5.7"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "@types/react-dom": "*",
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc",
+        "react-dom": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        },
+        "@types/react-dom": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-direction": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-direction/-/react-direction-1.1.0.tgz",
+      "integrity": "sha512-BUuBvgThEiAXh2DWu93XsT+a3aWrGqolGlqqw5VU1kG7p/ZH2cuDlM1sRLNnY3QcBS69UIz2mcKhMxDsdewhjg==",
+      "peerDependencies": {
+        "@types/react": "*",
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-dismissable-layer": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-dismissable-layer/-/react-dismissable-layer-1.1.0.tgz",
+      "integrity": "sha512-/UovfmmXGptwGcBQawLzvn2jOfM0t4z3/uKffoBlj724+n3FvBbZ7M0aaBOmkp6pqFYpO4yx8tSVJjx3Fl2jig==",
+      "dependencies": {
+        "@radix-ui/primitive": "1.1.0",
+        "@radix-ui/react-compose-refs": "1.1.0",
+        "@radix-ui/react-primitive": "2.0.0",
+        "@radix-ui/react-use-callback-ref": "1.1.0",
+        "@radix-ui/react-use-escape-keydown": "1.1.0"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "@types/react-dom": "*",
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc",
+        "react-dom": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        },
+        "@types/react-dom": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-dropdown-menu": {
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-dropdown-menu/-/react-dropdown-menu-2.1.0.tgz",
+      "integrity": "sha512-8fAz27yxVaYTkXMm5dVOcKCHOiio9b4nl7rO1HmK8rpzcEl0kSSmwFQsYDyJxB/Em48PvXTez/iaBj3VEd2N4g==",
+      "dependencies": {
+        "@radix-ui/primitive": "1.1.0",
+        "@radix-ui/react-compose-refs": "1.1.0",
+        "@radix-ui/react-context": "1.1.0",
+        "@radix-ui/react-id": "1.1.0",
+        "@radix-ui/react-menu": "2.1.0",
+        "@radix-ui/react-primitive": "2.0.0",
+        "@radix-ui/react-use-controllable-state": "1.1.0"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "@types/react-dom": "*",
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc",
+        "react-dom": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        },
+        "@types/react-dom": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-focus-guards": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-focus-guards/-/react-focus-guards-1.1.0.tgz",
+      "integrity": "sha512-w6XZNUPVv6xCpZUqb/yN9DL6auvpGX3C/ee6Hdi16v2UUy25HV2Q5bcflsiDyT/g5RwbPQ/GIT1vLkeRb+ITBw==",
+      "peerDependencies": {
+        "@types/react": "*",
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-focus-scope": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-focus-scope/-/react-focus-scope-1.1.0.tgz",
+      "integrity": "sha512-200UD8zylvEyL8Bx+z76RJnASR2gRMuxlgFCPAe/Q/679a/r0eK3MBVYMb7vZODZcffZBdob1EGnky78xmVvcA==",
+      "dependencies": {
+        "@radix-ui/react-compose-refs": "1.1.0",
+        "@radix-ui/react-primitive": "2.0.0",
+        "@radix-ui/react-use-callback-ref": "1.1.0"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "@types/react-dom": "*",
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc",
+        "react-dom": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        },
+        "@types/react-dom": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-form": {
+      "version": "0.0.3",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-form/-/react-form-0.0.3.tgz",
+      "integrity": "sha512-kgE+Z/haV6fxE5WqIXj05KkaXa3OkZASoTDy25yX2EIp/x0c54rOH/vFr5nOZTg7n7T1z8bSyXmiVIFP9bbhPQ==",
+      "dependencies": {
+        "@babel/runtime": "^7.13.10",
+        "@radix-ui/primitive": "1.0.1",
+        "@radix-ui/react-compose-refs": "1.0.1",
+        "@radix-ui/react-context": "1.0.1",
+        "@radix-ui/react-id": "1.0.1",
+        "@radix-ui/react-label": "2.0.2",
+        "@radix-ui/react-primitive": "1.0.3"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "@types/react-dom": "*",
+        "react": "^16.8 || ^17.0 || ^18.0",
+        "react-dom": "^16.8 || ^17.0 || ^18.0"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        },
+        "@types/react-dom": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-form/node_modules/@radix-ui/primitive": {
+      "version": "1.0.1",
+      "resolved": "https://registry.npmjs.org/@radix-ui/primitive/-/primitive-1.0.1.tgz",
+      "integrity": "sha512-yQ8oGX2GVsEYMWGxcovu1uGWPCxV5BFfeeYxqPmuAzUyLT9qmaMXSAhXpb0WrspIeqYzdJpkh2vHModJPgRIaw==",
+      "dependencies": {
+        "@babel/runtime": "^7.13.10"
+      }
+    },
+    "node_modules/@radix-ui/react-form/node_modules/@radix-ui/react-compose-refs": {
+      "version": "1.0.1",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-compose-refs/-/react-compose-refs-1.0.1.tgz",
+      "integrity": "sha512-fDSBgd44FKHa1FRMU59qBMPFcl2PZE+2nmqunj+BWFyYYjnhIDWL2ItDs3rrbJDQOtzt5nIebLCQc4QRfz6LJw==",
+      "dependencies": {
+        "@babel/runtime": "^7.13.10"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "react": "^16.8 || ^17.0 || ^18.0"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-form/node_modules/@radix-ui/react-context": {
+      "version": "1.0.1",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-context/-/react-context-1.0.1.tgz",
+      "integrity": "sha512-ebbrdFoYTcuZ0v4wG5tedGnp9tzcV8awzsxYph7gXUyvnNLuTIcCk1q17JEbnVhXAKG9oX3KtchwiMIAYp9NLg==",
+      "dependencies": {
+        "@babel/runtime": "^7.13.10"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "react": "^16.8 || ^17.0 || ^18.0"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-form/node_modules/@radix-ui/react-id": {
+      "version": "1.0.1",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-id/-/react-id-1.0.1.tgz",
+      "integrity": "sha512-tI7sT/kqYp8p96yGWY1OAnLHrqDgzHefRBKQ2YAkBS5ja7QLcZ9Z/uY7bEjPUatf8RomoXM8/1sMj1IJaE5UzQ==",
+      "dependencies": {
+        "@babel/runtime": "^7.13.10",
+        "@radix-ui/react-use-layout-effect": "1.0.1"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "react": "^16.8 || ^17.0 || ^18.0"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-form/node_modules/@radix-ui/react-label": {
+      "version": "2.0.2",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-label/-/react-label-2.0.2.tgz",
+      "integrity": "sha512-N5ehvlM7qoTLx7nWPodsPYPgMzA5WM8zZChQg8nyFJKnDO5WHdba1vv5/H6IO5LtJMfD2Q3wh1qHFGNtK0w3bQ==",
+      "dependencies": {
+        "@babel/runtime": "^7.13.10",
+        "@radix-ui/react-primitive": "1.0.3"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "@types/react-dom": "*",
+        "react": "^16.8 || ^17.0 || ^18.0",
+        "react-dom": "^16.8 || ^17.0 || ^18.0"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        },
+        "@types/react-dom": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-form/node_modules/@radix-ui/react-primitive": {
+      "version": "1.0.3",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-primitive/-/react-primitive-1.0.3.tgz",
+      "integrity": "sha512-yi58uVyoAcK/Nq1inRY56ZSjKypBNKTa/1mcL8qdl6oJeEaDbOldlzrGn7P6Q3Id5d+SYNGc5AJgc4vGhjs5+g==",
+      "dependencies": {
+        "@babel/runtime": "^7.13.10",
+        "@radix-ui/react-slot": "1.0.2"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "@types/react-dom": "*",
+        "react": "^16.8 || ^17.0 || ^18.0",
+        "react-dom": "^16.8 || ^17.0 || ^18.0"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        },
+        "@types/react-dom": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-form/node_modules/@radix-ui/react-slot": {
+      "version": "1.0.2",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-slot/-/react-slot-1.0.2.tgz",
+      "integrity": "sha512-YeTpuq4deV+6DusvVUW4ivBgnkHwECUu0BiN43L5UCDFgdhsRUWAghhTF5MbvNTPzmiFOx90asDSUjWuCNapwg==",
+      "dependencies": {
+        "@babel/runtime": "^7.13.10",
+        "@radix-ui/react-compose-refs": "1.0.1"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "react": "^16.8 || ^17.0 || ^18.0"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-form/node_modules/@radix-ui/react-use-layout-effect": {
+      "version": "1.0.1",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-use-layout-effect/-/react-use-layout-effect-1.0.1.tgz",
+      "integrity": "sha512-v/5RegiJWYdoCvMnITBkNNx6bCj20fiaJnWtRkU18yITptraXjffz5Qbn05uOiQnOvi+dbkznkoaMltz1GnszQ==",
+      "dependencies": {
+        "@babel/runtime": "^7.13.10"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "react": "^16.8 || ^17.0 || ^18.0"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-icons": {
+      "version": "1.3.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-icons/-/react-icons-1.3.0.tgz",
+      "integrity": "sha512-jQxj/0LKgp+j9BiTXz3O3sgs26RNet2iLWmsPyRz2SIcR4q/4SbazXfnYwbAr+vLYKSfc7qxzyGQA1HLlYiuNw==",
+      "peerDependencies": {
+        "react": "^16.x || ^17.x || ^18.x"
+      }
+    },
+    "node_modules/@radix-ui/react-id": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-id/-/react-id-1.1.0.tgz",
+      "integrity": "sha512-EJUrI8yYh7WOjNOqpoJaf1jlFIH2LvtgAl+YcFqNCa+4hj64ZXmPkAKOFs/ukjz3byN6bdb/AVUqHkI8/uWWMA==",
+      "dependencies": {
+        "@radix-ui/react-use-layout-effect": "1.1.0"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-label": {
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-label/-/react-label-2.1.0.tgz",
+      "integrity": "sha512-peLblDlFw/ngk3UWq0VnYaOLy6agTZZ+MUO/WhVfm14vJGML+xH4FAl2XQGLqdefjNb7ApRg6Yn7U42ZhmYXdw==",
+      "dependencies": {
+        "@radix-ui/react-primitive": "2.0.0"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "@types/react-dom": "*",
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc",
+        "react-dom": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        },
+        "@types/react-dom": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-menu": {
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-menu/-/react-menu-2.1.0.tgz",
+      "integrity": "sha512-0AxIUQJpimipHDgTVISZbdOY+wZzgICKAsqfI1rF2Hp0Jh3YSv9e9J1tYYyurPBONe5vKi3hZPtVt2E85Sac7A==",
+      "dependencies": {
+        "@radix-ui/primitive": "1.1.0",
+        "@radix-ui/react-collection": "1.1.0",
+        "@radix-ui/react-compose-refs": "1.1.0",
+        "@radix-ui/react-context": "1.1.0",
+        "@radix-ui/react-direction": "1.1.0",
+        "@radix-ui/react-dismissable-layer": "1.1.0",
+        "@radix-ui/react-focus-guards": "1.1.0",
+        "@radix-ui/react-focus-scope": "1.1.0",
+        "@radix-ui/react-id": "1.1.0",
+        "@radix-ui/react-popper": "1.2.0",
+        "@radix-ui/react-portal": "1.1.0",
+        "@radix-ui/react-presence": "1.1.0",
+        "@radix-ui/react-primitive": "2.0.0",
+        "@radix-ui/react-roving-focus": "1.1.0",
+        "@radix-ui/react-slot": "1.1.0",
+        "@radix-ui/react-use-callback-ref": "1.1.0",
+        "aria-hidden": "^1.1.1",
+        "react-remove-scroll": "2.5.7"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "@types/react-dom": "*",
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc",
+        "react-dom": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        },
+        "@types/react-dom": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-menubar": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-menubar/-/react-menubar-1.1.0.tgz",
+      "integrity": "sha512-LCGG30vKYI3+79AqyKhgjfL8AVfA2a6XPKbD44noaQ4D0NmEhbVZwpLzvl6G8yAoIXXmC5EIwJg/oRe5O1qrbQ==",
+      "dependencies": {
+        "@radix-ui/primitive": "1.1.0",
+        "@radix-ui/react-collection": "1.1.0",
+        "@radix-ui/react-compose-refs": "1.1.0",
+        "@radix-ui/react-context": "1.1.0",
+        "@radix-ui/react-direction": "1.1.0",
+        "@radix-ui/react-id": "1.1.0",
+        "@radix-ui/react-menu": "2.1.0",
+        "@radix-ui/react-primitive": "2.0.0",
+        "@radix-ui/react-roving-focus": "1.1.0",
+        "@radix-ui/react-use-controllable-state": "1.1.0"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "@types/react-dom": "*",
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc",
+        "react-dom": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        },
+        "@types/react-dom": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-popover": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-popover/-/react-popover-1.1.0.tgz",
+      "integrity": "sha512-2wdgj6eKNVoFNFtYv2xwkzhIJPlJ5L2aV0eKTZHi5dUVrGy+MhgoV8IyyeFpkZQrwwFzbFlnWl1bwyjVBCNapQ==",
+      "dependencies": {
+        "@radix-ui/primitive": "1.1.0",
+        "@radix-ui/react-compose-refs": "1.1.0",
+        "@radix-ui/react-context": "1.1.0",
+        "@radix-ui/react-dismissable-layer": "1.1.0",
+        "@radix-ui/react-focus-guards": "1.1.0",
+        "@radix-ui/react-focus-scope": "1.1.0",
+        "@radix-ui/react-id": "1.1.0",
+        "@radix-ui/react-popper": "1.2.0",
+        "@radix-ui/react-portal": "1.1.0",
+        "@radix-ui/react-presence": "1.1.0",
+        "@radix-ui/react-primitive": "2.0.0",
+        "@radix-ui/react-slot": "1.1.0",
+        "@radix-ui/react-use-controllable-state": "1.1.0",
+        "aria-hidden": "^1.1.1",
+        "react-remove-scroll": "2.5.7"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "@types/react-dom": "*",
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc",
+        "react-dom": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        },
+        "@types/react-dom": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-popper": {
+      "version": "1.2.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-popper/-/react-popper-1.2.0.tgz",
+      "integrity": "sha512-ZnRMshKF43aBxVWPWvbj21+7TQCvhuULWJ4gNIKYpRlQt5xGRhLx66tMp8pya2UkGHTSlhpXwmjqltDYHhw7Vg==",
+      "dependencies": {
+        "@floating-ui/react-dom": "^2.0.0",
+        "@radix-ui/react-arrow": "1.1.0",
+        "@radix-ui/react-compose-refs": "1.1.0",
+        "@radix-ui/react-context": "1.1.0",
+        "@radix-ui/react-primitive": "2.0.0",
+        "@radix-ui/react-use-callback-ref": "1.1.0",
+        "@radix-ui/react-use-layout-effect": "1.1.0",
+        "@radix-ui/react-use-rect": "1.1.0",
+        "@radix-ui/react-use-size": "1.1.0",
+        "@radix-ui/rect": "1.1.0"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "@types/react-dom": "*",
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc",
+        "react-dom": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        },
+        "@types/react-dom": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-portal": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-portal/-/react-portal-1.1.0.tgz",
+      "integrity": "sha512-0tXZ5O6qAVvuN9SWP0X+zadHf9hzHiMf/vxOU+kXO+fbtS8lS57MXa6EmikDxk9s/Bmkk80+dcxgbvisIyeqxg==",
+      "dependencies": {
+        "@radix-ui/react-primitive": "2.0.0"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "@types/react-dom": "*",
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc",
+        "react-dom": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        },
+        "@types/react-dom": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-presence": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-presence/-/react-presence-1.1.0.tgz",
+      "integrity": "sha512-Gq6wuRN/asf9H/E/VzdKoUtT8GC9PQc9z40/vEr0VCJ4u5XvvhWIrSsCB6vD2/cH7ugTdSfYq9fLJCcM00acrQ==",
+      "dependencies": {
+        "@radix-ui/react-compose-refs": "1.1.0",
+        "@radix-ui/react-use-layout-effect": "1.1.0"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "@types/react-dom": "*",
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc",
+        "react-dom": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        },
+        "@types/react-dom": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-primitive": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-primitive/-/react-primitive-2.0.0.tgz",
+      "integrity": "sha512-ZSpFm0/uHa8zTvKBDjLFWLo8dkr4MBsiDLz0g3gMUwqgLHz9rTaRRGYDgvZPtBJgYCBKXkS9fzmoySgr8CO6Cw==",
+      "dependencies": {
+        "@radix-ui/react-slot": "1.1.0"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "@types/react-dom": "*",
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc",
+        "react-dom": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        },
+        "@types/react-dom": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-progress": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-progress/-/react-progress-1.1.0.tgz",
+      "integrity": "sha512-aSzvnYpP725CROcxAOEBVZZSIQVQdHgBr2QQFKySsaD14u8dNT0batuXI+AAGDdAHfXH8rbnHmjYFqVJ21KkRg==",
+      "dependencies": {
+        "@radix-ui/react-context": "1.1.0",
+        "@radix-ui/react-primitive": "2.0.0"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "@types/react-dom": "*",
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc",
+        "react-dom": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        },
+        "@types/react-dom": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-roving-focus": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-roving-focus/-/react-roving-focus-1.1.0.tgz",
+      "integrity": "sha512-EA6AMGeq9AEeQDeSH0aZgG198qkfHSbvWTf1HvoDmOB5bBG/qTxjYMWUKMnYiV6J/iP/J8MEFSuB2zRU2n7ODA==",
+      "dependencies": {
+        "@radix-ui/primitive": "1.1.0",
+        "@radix-ui/react-collection": "1.1.0",
+        "@radix-ui/react-compose-refs": "1.1.0",
+        "@radix-ui/react-context": "1.1.0",
+        "@radix-ui/react-direction": "1.1.0",
+        "@radix-ui/react-id": "1.1.0",
+        "@radix-ui/react-primitive": "2.0.0",
+        "@radix-ui/react-use-callback-ref": "1.1.0",
+        "@radix-ui/react-use-controllable-state": "1.1.0"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "@types/react-dom": "*",
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc",
+        "react-dom": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        },
+        "@types/react-dom": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-select": {
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-select/-/react-select-2.1.0.tgz",
+      "integrity": "sha512-g6uR+e9o4EB3laMekSDEEKpwRmoZdfiZmZSfc1fO4A1EAVCukZplyNB2TIrNao5cw9HQOyhhy2W1ZQo72RXrJg==",
+      "dependencies": {
+        "@radix-ui/number": "1.1.0",
+        "@radix-ui/primitive": "1.1.0",
+        "@radix-ui/react-collection": "1.1.0",
+        "@radix-ui/react-compose-refs": "1.1.0",
+        "@radix-ui/react-context": "1.1.0",
+        "@radix-ui/react-direction": "1.1.0",
+        "@radix-ui/react-dismissable-layer": "1.1.0",
+        "@radix-ui/react-focus-guards": "1.1.0",
+        "@radix-ui/react-focus-scope": "1.1.0",
+        "@radix-ui/react-id": "1.1.0",
+        "@radix-ui/react-popper": "1.2.0",
+        "@radix-ui/react-portal": "1.1.0",
+        "@radix-ui/react-primitive": "2.0.0",
+        "@radix-ui/react-slot": "1.1.0",
+        "@radix-ui/react-use-callback-ref": "1.1.0",
+        "@radix-ui/react-use-controllable-state": "1.1.0",
+        "@radix-ui/react-use-layout-effect": "1.1.0",
+        "@radix-ui/react-use-previous": "1.1.0",
+        "@radix-ui/react-visually-hidden": "1.1.0",
+        "aria-hidden": "^1.1.1",
+        "react-remove-scroll": "2.5.7"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "@types/react-dom": "*",
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc",
+        "react-dom": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        },
+        "@types/react-dom": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-separator": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-separator/-/react-separator-1.1.0.tgz",
+      "integrity": "sha512-3uBAs+egzvJBDZAzvb/n4NxxOYpnspmWxO2u5NbZ8Y6FM/NdrGSF9bop3Cf6F6C71z1rTSn8KV0Fo2ZVd79lGA==",
+      "dependencies": {
+        "@radix-ui/react-primitive": "2.0.0"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "@types/react-dom": "*",
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc",
+        "react-dom": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        },
+        "@types/react-dom": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-slot": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-slot/-/react-slot-1.1.0.tgz",
+      "integrity": "sha512-FUCf5XMfmW4dtYl69pdS4DbxKy8nj4M7SafBgPllysxmdachynNflAdp/gCsnYWNDnge6tI9onzMp5ARYc1KNw==",
+      "dependencies": {
+        "@radix-ui/react-compose-refs": "1.1.0"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-switch": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-switch/-/react-switch-1.1.0.tgz",
+      "integrity": "sha512-OBzy5WAj641k0AOSpKQtreDMe+isX0MQJ1IVyF03ucdF3DunOnROVrjWs8zsXUxC3zfZ6JL9HFVCUlMghz9dJw==",
+      "dependencies": {
+        "@radix-ui/primitive": "1.1.0",
+        "@radix-ui/react-compose-refs": "1.1.0",
+        "@radix-ui/react-context": "1.1.0",
+        "@radix-ui/react-primitive": "2.0.0",
+        "@radix-ui/react-use-controllable-state": "1.1.0",
+        "@radix-ui/react-use-previous": "1.1.0",
+        "@radix-ui/react-use-size": "1.1.0"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "@types/react-dom": "*",
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc",
+        "react-dom": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        },
+        "@types/react-dom": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-tabs": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-tabs/-/react-tabs-1.1.0.tgz",
+      "integrity": "sha512-bZgOKB/LtZIij75FSuPzyEti/XBhJH52ExgtdVqjCIh+Nx/FW+LhnbXtbCzIi34ccyMsyOja8T0thCzoHFXNKA==",
+      "dependencies": {
+        "@radix-ui/primitive": "1.1.0",
+        "@radix-ui/react-context": "1.1.0",
+        "@radix-ui/react-direction": "1.1.0",
+        "@radix-ui/react-id": "1.1.0",
+        "@radix-ui/react-presence": "1.1.0",
+        "@radix-ui/react-primitive": "2.0.0",
+        "@radix-ui/react-roving-focus": "1.1.0",
+        "@radix-ui/react-use-controllable-state": "1.1.0"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "@types/react-dom": "*",
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc",
+        "react-dom": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        },
+        "@types/react-dom": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-toggle": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-toggle/-/react-toggle-1.1.0.tgz",
+      "integrity": "sha512-gwoxaKZ0oJ4vIgzsfESBuSgJNdc0rv12VhHgcqN0TEJmmZixXG/2XpsLK8kzNWYcnaoRIEEQc0bEi3dIvdUpjw==",
+      "dependencies": {
+        "@radix-ui/primitive": "1.1.0",
+        "@radix-ui/react-primitive": "2.0.0",
+        "@radix-ui/react-use-controllable-state": "1.1.0"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "@types/react-dom": "*",
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc",
+        "react-dom": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        },
+        "@types/react-dom": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-tooltip": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-tooltip/-/react-tooltip-1.1.0.tgz",
+      "integrity": "sha512-DZZvEn5WUJyd9+JzVT/cTjt7m0rymjxpzJZMmb09lCWo8kRqOp4rsckFrGgocD5cR8e3gtaNINvWWqFMccvV/w==",
+      "dependencies": {
+        "@radix-ui/primitive": "1.1.0",
+        "@radix-ui/react-compose-refs": "1.1.0",
+        "@radix-ui/react-context": "1.1.0",
+        "@radix-ui/react-dismissable-layer": "1.1.0",
+        "@radix-ui/react-id": "1.1.0",
+        "@radix-ui/react-popper": "1.2.0",
+        "@radix-ui/react-portal": "1.1.0",
+        "@radix-ui/react-presence": "1.1.0",
+        "@radix-ui/react-primitive": "2.0.0",
+        "@radix-ui/react-slot": "1.1.0",
+        "@radix-ui/react-use-controllable-state": "1.1.0",
+        "@radix-ui/react-visually-hidden": "1.1.0"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "@types/react-dom": "*",
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc",
+        "react-dom": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        },
+        "@types/react-dom": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-use-callback-ref": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-use-callback-ref/-/react-use-callback-ref-1.1.0.tgz",
+      "integrity": "sha512-CasTfvsy+frcFkbXtSJ2Zu9JHpN8TYKxkgJGWbjiZhFivxaeW7rMeZt7QELGVLaYVfFMsKHjb7Ak0nMEe+2Vfw==",
+      "peerDependencies": {
+        "@types/react": "*",
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-use-controllable-state": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-use-controllable-state/-/react-use-controllable-state-1.1.0.tgz",
+      "integrity": "sha512-MtfMVJiSr2NjzS0Aa90NPTnvTSg6C/JLCV7ma0W6+OMV78vd8OyRpID+Ng9LxzsPbLeuBnWBA1Nq30AtBIDChw==",
+      "dependencies": {
+        "@radix-ui/react-use-callback-ref": "1.1.0"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-use-escape-keydown": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-use-escape-keydown/-/react-use-escape-keydown-1.1.0.tgz",
+      "integrity": "sha512-L7vwWlR1kTTQ3oh7g1O0CBF3YCyyTj8NmhLR+phShpyA50HCfBFKVJTpshm9PzLiKmehsrQzTYTpX9HvmC9rhw==",
+      "dependencies": {
+        "@radix-ui/react-use-callback-ref": "1.1.0"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-use-layout-effect": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-use-layout-effect/-/react-use-layout-effect-1.1.0.tgz",
+      "integrity": "sha512-+FPE0rOdziWSrH9athwI1R0HDVbWlEhd+FR+aSDk4uWGmSJ9Z54sdZVDQPZAinJhJXwfT+qnj969mCsT2gfm5w==",
+      "peerDependencies": {
+        "@types/react": "*",
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-use-previous": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-use-previous/-/react-use-previous-1.1.0.tgz",
+      "integrity": "sha512-Z/e78qg2YFnnXcW88A4JmTtm4ADckLno6F7OXotmkQfeuCVaKuYzqAATPhVzl3delXE7CxIV8shofPn3jPc5Og==",
+      "peerDependencies": {
+        "@types/react": "*",
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-use-rect": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-use-rect/-/react-use-rect-1.1.0.tgz",
+      "integrity": "sha512-0Fmkebhr6PiseyZlYAOtLS+nb7jLmpqTrJyv61Pe68MKYW6OWdRE2kI70TaYY27u7H0lajqM3hSMMLFq18Z7nQ==",
+      "dependencies": {
+        "@radix-ui/rect": "1.1.0"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-use-size": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-use-size/-/react-use-size-1.1.0.tgz",
+      "integrity": "sha512-XW3/vWuIXHa+2Uwcc2ABSfcCledmXhhQPlGbfcRXbiUQI5Icjcg19BGCZVKKInYbvUCut/ufbbLLPFC5cbb1hw==",
+      "dependencies": {
+        "@radix-ui/react-use-layout-effect": "1.1.0"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-visually-hidden": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-visually-hidden/-/react-visually-hidden-1.1.0.tgz",
+      "integrity": "sha512-N8MDZqtgCgG5S3aV60INAB475osJousYpZ4cTJ2cFbMpdHS5Y6loLTH8LPtkj2QN0x93J30HT/M3qJXM0+lyeQ==",
+      "dependencies": {
+        "@radix-ui/react-primitive": "2.0.0"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "@types/react-dom": "*",
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc",
+        "react-dom": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        },
+        "@types/react-dom": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/rect": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/@radix-ui/rect/-/rect-1.1.0.tgz",
+      "integrity": "sha512-A9+lCBZoaMJlVKcRBz2YByCG+Cp2t6nAnMnNba+XiWxnj6r4JUFqfsgwocMBZU9LPtdxC6wB56ySYpc7LQIoJg=="
+    },
+    "node_modules/@react-aria/focus": {
+      "version": "3.17.1",
+      "resolved": "https://registry.npmjs.org/@react-aria/focus/-/focus-3.17.1.tgz",
+      "integrity": "sha512-FLTySoSNqX++u0nWZJPPN5etXY0WBxaIe/YuL/GTEeuqUIuC/2bJSaw5hlsM6T2yjy6Y/VAxBcKSdAFUlU6njQ==",
+      "dependencies": {
+        "@react-aria/interactions": "^3.21.3",
+        "@react-aria/utils": "^3.24.1",
+        "@react-types/shared": "^3.23.1",
+        "@swc/helpers": "^0.5.0",
+        "clsx": "^2.0.0"
+      },
+      "peerDependencies": {
+        "react": "^16.8.0 || ^17.0.0-rc.1 || ^18.0.0"
+      }
+    },
+    "node_modules/@react-aria/interactions": {
+      "version": "3.21.3",
+      "resolved": "https://registry.npmjs.org/@react-aria/interactions/-/interactions-3.21.3.tgz",
+      "integrity": "sha512-BWIuf4qCs5FreDJ9AguawLVS0lV9UU+sK4CCnbCNNmYqOWY+1+gRXCsnOM32K+oMESBxilAjdHW5n1hsMqYMpA==",
+      "dependencies": {
+        "@react-aria/ssr": "^3.9.4",
+        "@react-aria/utils": "^3.24.1",
+        "@react-types/shared": "^3.23.1",
+        "@swc/helpers": "^0.5.0"
+      },
+      "peerDependencies": {
+        "react": "^16.8.0 || ^17.0.0-rc.1 || ^18.0.0"
+      }
+    },
+    "node_modules/@react-aria/ssr": {
+      "version": "3.9.4",
+      "resolved": "https://registry.npmjs.org/@react-aria/ssr/-/ssr-3.9.4.tgz",
+      "integrity": "sha512-4jmAigVq409qcJvQyuorsmBR4+9r3+JEC60wC+Y0MZV0HCtTmm8D9guYXlJMdx0SSkgj0hHAyFm/HvPNFofCoQ==",
+      "dependencies": {
+        "@swc/helpers": "^0.5.0"
+      },
+      "engines": {
+        "node": ">= 12"
+      },
+      "peerDependencies": {
+        "react": "^16.8.0 || ^17.0.0-rc.1 || ^18.0.0"
+      }
+    },
+    "node_modules/@react-aria/utils": {
+      "version": "3.24.1",
+      "resolved": "https://registry.npmjs.org/@react-aria/utils/-/utils-3.24.1.tgz",
+      "integrity": "sha512-O3s9qhPMd6n42x9sKeJ3lhu5V1Tlnzhu6Yk8QOvDuXf7UGuUjXf9mzfHJt1dYzID4l9Fwm8toczBzPM9t0jc8Q==",
+      "dependencies": {
+        "@react-aria/ssr": "^3.9.4",
+        "@react-stately/utils": "^3.10.1",
+        "@react-types/shared": "^3.23.1",
+        "@swc/helpers": "^0.5.0",
+        "clsx": "^2.0.0"
+      },
+      "peerDependencies": {
+        "react": "^16.8.0 || ^17.0.0-rc.1 || ^18.0.0"
+      }
+    },
+    "node_modules/@react-stately/utils": {
+      "version": "3.10.1",
+      "resolved": "https://registry.npmjs.org/@react-stately/utils/-/utils-3.10.1.tgz",
+      "integrity": "sha512-VS/EHRyicef25zDZcM/ClpzYMC5i2YGN6uegOeQawmgfGjb02yaCX0F0zR69Pod9m2Hr3wunTbtpgVXvYbZItg==",
+      "dependencies": {
+        "@swc/helpers": "^0.5.0"
+      },
+      "peerDependencies": {
+        "react": "^16.8.0 || ^17.0.0-rc.1 || ^18.0.0"
+      }
+    },
+    "node_modules/@react-types/shared": {
+      "version": "3.23.1",
+      "resolved": "https://registry.npmjs.org/@react-types/shared/-/shared-3.23.1.tgz",
+      "integrity": "sha512-5d+3HbFDxGZjhbMBeFHRQhexMFt4pUce3okyRtUVKbbedQFUrtXSBg9VszgF2RTeQDKDkMCIQDtz5ccP/Lk1gw==",
+      "peerDependencies": {
+        "react": "^16.8.0 || ^17.0.0-rc.1 || ^18.0.0"
+      }
+    },
+    "node_modules/@reactflow/background": {
+      "version": "11.3.13",
+      "resolved": "https://registry.npmjs.org/@reactflow/background/-/background-11.3.13.tgz",
+      "integrity": "sha512-hkvpVEhgvfTDyCvdlitw4ioKCYLaaiRXnuEG+1QM3Np+7N1DiWF1XOv5I8AFyNoJL07yXEkbECUTsHvkBvcG5A==",
+      "dependencies": {
+        "@reactflow/core": "11.11.3",
+        "classcat": "^5.0.3",
+        "zustand": "^4.4.1"
+      },
+      "peerDependencies": {
+        "react": ">=17",
+        "react-dom": ">=17"
+      }
+    },
+    "node_modules/@reactflow/controls": {
+      "version": "11.2.13",
+      "resolved": "https://registry.npmjs.org/@reactflow/controls/-/controls-11.2.13.tgz",
+      "integrity": "sha512-3xgEg6ALIVkAQCS4NiBjb7ad8Cb3D8CtA7Vvl4Hf5Ar2PIVs6FOaeft9s2iDZGtsWP35ECDYId1rIFVhQL8r+A==",
+      "dependencies": {
+        "@reactflow/core": "11.11.3",
+        "classcat": "^5.0.3",
+        "zustand": "^4.4.1"
+      },
+      "peerDependencies": {
+        "react": ">=17",
+        "react-dom": ">=17"
+      }
+    },
+    "node_modules/@reactflow/core": {
+      "version": "11.11.3",
+      "resolved": "https://registry.npmjs.org/@reactflow/core/-/core-11.11.3.tgz",
+      "integrity": "sha512-+adHdUa7fJSEM93fWfjQwyWXeI92a1eLKwWbIstoCakHpL8UjzwhEh6sn+mN2h/59MlVI7Ehr1iGTt3MsfcIFA==",
+      "dependencies": {
+        "@types/d3": "^7.4.0",
+        "@types/d3-drag": "^3.0.1",
+        "@types/d3-selection": "^3.0.3",
+        "@types/d3-zoom": "^3.0.1",
+        "classcat": "^5.0.3",
+        "d3-drag": "^3.0.0",
+        "d3-selection": "^3.0.0",
+        "d3-zoom": "^3.0.0",
+        "zustand": "^4.4.1"
+      },
+      "peerDependencies": {
+        "react": ">=17",
+        "react-dom": ">=17"
+      }
+    },
+    "node_modules/@reactflow/minimap": {
+      "version": "11.7.13",
+      "resolved": "https://registry.npmjs.org/@reactflow/minimap/-/minimap-11.7.13.tgz",
+      "integrity": "sha512-m2MvdiGSyOu44LEcERDEl1Aj6x//UQRWo3HEAejNU4HQTlJnYrSN8tgrYF8TxC1+c/9UdyzQY5VYgrTwW4QWdg==",
+      "dependencies": {
+        "@reactflow/core": "11.11.3",
+        "@types/d3-selection": "^3.0.3",
+        "@types/d3-zoom": "^3.0.1",
+        "classcat": "^5.0.3",
+        "d3-selection": "^3.0.0",
+        "d3-zoom": "^3.0.0",
+        "zustand": "^4.4.1"
+      },
+      "peerDependencies": {
+        "react": ">=17",
+        "react-dom": ">=17"
       }
     },
-    "node_modules/@preact/signals-react": {
-      "version": "2.0.0",
-      "resolved": "https://registry.npmjs.org/@preact/signals-react/-/signals-react-2.0.0.tgz",
-      "integrity": "sha512-tMVi2SXFXlojaiPNWa8dlYaidR/XvEgMSp+iymKJgMssBM/QVtUQrodKZek1BJju+dkVHiyeuQHmkuLOI9oyNw==",
+    "node_modules/@reactflow/node-resizer": {
+      "version": "2.2.13",
+      "resolved": "https://registry.npmjs.org/@reactflow/node-resizer/-/node-resizer-2.2.13.tgz",
+      "integrity": "sha512-X7ceQ2s3jFLgbkg03n2RYr4hm3jTVrzkW2W/8ANv/SZfuVmF8XJxlERuD8Eka5voKqLda0ywIZGAbw9GoHLfUQ==",
+      "dependencies": {
+        "@reactflow/core": "11.11.3",
+        "classcat": "^5.0.4",
+        "d3-drag": "^3.0.0",
+        "d3-selection": "^3.0.0",
+        "zustand": "^4.4.1"
+      },
+      "peerDependencies": {
+        "react": ">=17",
+        "react-dom": ">=17"
+      }
+    },
+    "node_modules/@reactflow/node-toolbar": {
+      "version": "1.3.13",
+      "resolved": "https://registry.npmjs.org/@reactflow/node-toolbar/-/node-toolbar-1.3.13.tgz",
+      "integrity": "sha512-aknvNICO10uWdthFSpgD6ctY/CTBeJUMV9co8T9Ilugr08Nb89IQ4uD0dPmr031ewMQxixtYIkw+sSDDzd2aaQ==",
+      "dependencies": {
+        "@reactflow/core": "11.11.3",
+        "classcat": "^5.0.3",
+        "zustand": "^4.4.1"
+      },
+      "peerDependencies": {
+        "react": ">=17",
+        "react-dom": ">=17"
+      }
+    },
+    "node_modules/@remix-run/router": {
+      "version": "1.16.1",
+      "resolved": "https://registry.npmjs.org/@remix-run/router/-/router-1.16.1.tgz",
+      "integrity": "sha512-es2g3dq6Nb07iFxGk5GuHN20RwBZOsuDQN7izWIisUcv9r+d2C5jQxqmgkdebXgReWfiyUabcki6Fg77mSNrig==",
+      "engines": {
+        "node": ">=14.0.0"
+      }
+    },
+    "node_modules/@rollup/pluginutils": {
+      "version": "5.1.0",
+      "resolved": "https://registry.npmjs.org/@rollup/pluginutils/-/pluginutils-5.1.0.tgz",
+      "integrity": "sha512-XTIWOPPcpvyKI6L1NHo0lFlCyznUEyPmPY1mc3KpPVDYulHSTvyeLNVW00QTLIAFNhR3kYnJTQHeGqU4M3n09g==",
       "dependencies": {
-        "@preact/signals-core": "^1.5.1",
-        "use-sync-external-store": "^1.2.0"
+        "@types/estree": "^1.0.0",
+        "estree-walker": "^2.0.2",
+        "picomatch": "^2.3.1"
+      },
+      "engines": {
+        "node": ">=14.0.0"
+      },
+      "peerDependencies": {
+        "rollup": "^1.20.0||^2.0.0||^3.0.0||^4.0.0"
+      },
+      "peerDependenciesMeta": {
+        "rollup": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@rollup/rollup-android-arm-eabi": {
+      "version": "4.18.0",
+      "resolved": "https://registry.npmjs.org/@rollup/rollup-android-arm-eabi/-/rollup-android-arm-eabi-4.18.0.tgz",
+      "integrity": "sha512-Tya6xypR10giZV1XzxmH5wr25VcZSncG0pZIjfePT0OVBvqNEurzValetGNarVrGiq66EBVAFn15iYX4w6FKgQ==",
+      "cpu": [
+        "arm"
+      ],
+      "optional": true,
+      "os": [
+        "android"
+      ]
+    },
+    "node_modules/@rollup/rollup-android-arm64": {
+      "version": "4.18.0",
+      "resolved": "https://registry.npmjs.org/@rollup/rollup-android-arm64/-/rollup-android-arm64-4.18.0.tgz",
+      "integrity": "sha512-avCea0RAP03lTsDhEyfy+hpfr85KfyTctMADqHVhLAF3MlIkq83CP8UfAHUssgXTYd+6er6PaAhx/QGv4L1EiA==",
+      "cpu": [
+        "arm64"
+      ],
+      "optional": true,
+      "os": [
+        "android"
+      ]
+    },
+    "node_modules/@rollup/rollup-darwin-arm64": {
+      "version": "4.18.0",
+      "resolved": "https://registry.npmjs.org/@rollup/rollup-darwin-arm64/-/rollup-darwin-arm64-4.18.0.tgz",
+      "integrity": "sha512-IWfdwU7KDSm07Ty0PuA/W2JYoZ4iTj3TUQjkVsO/6U+4I1jN5lcR71ZEvRh52sDOERdnNhhHU57UITXz5jC1/w==",
+      "cpu": [
+        "arm64"
+      ],
+      "optional": true,
+      "os": [
+        "darwin"
+      ]
+    },
+    "node_modules/@rollup/rollup-darwin-x64": {
+      "version": "4.18.0",
+      "resolved": "https://registry.npmjs.org/@rollup/rollup-darwin-x64/-/rollup-darwin-x64-4.18.0.tgz",
+      "integrity": "sha512-n2LMsUz7Ynu7DoQrSQkBf8iNrjOGyPLrdSg802vk6XT3FtsgX6JbE8IHRvposskFm9SNxzkLYGSq9QdpLYpRNA==",
+      "cpu": [
+        "x64"
+      ],
+      "optional": true,
+      "os": [
+        "darwin"
+      ]
+    },
+    "node_modules/@rollup/rollup-linux-arm-gnueabihf": {
+      "version": "4.18.0",
+      "resolved": "https://registry.npmjs.org/@rollup/rollup-linux-arm-gnueabihf/-/rollup-linux-arm-gnueabihf-4.18.0.tgz",
+      "integrity": "sha512-C/zbRYRXFjWvz9Z4haRxcTdnkPt1BtCkz+7RtBSuNmKzMzp3ZxdM28Mpccn6pt28/UWUCTXa+b0Mx1k3g6NOMA==",
+      "cpu": [
+        "arm"
+      ],
+      "optional": true,
+      "os": [
+        "linux"
+      ]
+    },
+    "node_modules/@rollup/rollup-linux-arm-musleabihf": {
+      "version": "4.18.0",
+      "resolved": "https://registry.npmjs.org/@rollup/rollup-linux-arm-musleabihf/-/rollup-linux-arm-musleabihf-4.18.0.tgz",
+      "integrity": "sha512-l3m9ewPgjQSXrUMHg93vt0hYCGnrMOcUpTz6FLtbwljo2HluS4zTXFy2571YQbisTnfTKPZ01u/ukJdQTLGh9A==",
+      "cpu": [
+        "arm"
+      ],
+      "optional": true,
+      "os": [
+        "linux"
+      ]
+    },
+    "node_modules/@rollup/rollup-linux-arm64-gnu": {
+      "version": "4.18.0",
+      "resolved": "https://registry.npmjs.org/@rollup/rollup-linux-arm64-gnu/-/rollup-linux-arm64-gnu-4.18.0.tgz",
+      "integrity": "sha512-rJ5D47d8WD7J+7STKdCUAgmQk49xuFrRi9pZkWoRD1UeSMakbcepWXPF8ycChBoAqs1pb2wzvbY6Q33WmN2ftw==",
+      "cpu": [
+        "arm64"
+      ],
+      "optional": true,
+      "os": [
+        "linux"
+      ]
+    },
+    "node_modules/@rollup/rollup-linux-arm64-musl": {
+      "version": "4.18.0",
+      "resolved": "https://registry.npmjs.org/@rollup/rollup-linux-arm64-musl/-/rollup-linux-arm64-musl-4.18.0.tgz",
+      "integrity": "sha512-be6Yx37b24ZwxQ+wOQXXLZqpq4jTckJhtGlWGZs68TgdKXJgw54lUUoFYrg6Zs/kjzAQwEwYbp8JxZVzZLRepQ==",
+      "cpu": [
+        "arm64"
+      ],
+      "optional": true,
+      "os": [
+        "linux"
+      ]
+    },
+    "node_modules/@rollup/rollup-linux-powerpc64le-gnu": {
+      "version": "4.18.0",
+      "resolved": "https://registry.npmjs.org/@rollup/rollup-linux-powerpc64le-gnu/-/rollup-linux-powerpc64le-gnu-4.18.0.tgz",
+      "integrity": "sha512-hNVMQK+qrA9Todu9+wqrXOHxFiD5YmdEi3paj6vP02Kx1hjd2LLYR2eaN7DsEshg09+9uzWi2W18MJDlG0cxJA==",
+      "cpu": [
+        "ppc64"
+      ],
+      "optional": true,
+      "os": [
+        "linux"
+      ]
+    },
+    "node_modules/@rollup/rollup-linux-riscv64-gnu": {
+      "version": "4.18.0",
+      "resolved": "https://registry.npmjs.org/@rollup/rollup-linux-riscv64-gnu/-/rollup-linux-riscv64-gnu-4.18.0.tgz",
+      "integrity": "sha512-ROCM7i+m1NfdrsmvwSzoxp9HFtmKGHEqu5NNDiZWQtXLA8S5HBCkVvKAxJ8U+CVctHwV2Gb5VUaK7UAkzhDjlg==",
+      "cpu": [
+        "riscv64"
+      ],
+      "optional": true,
+      "os": [
+        "linux"
+      ]
+    },
+    "node_modules/@rollup/rollup-linux-s390x-gnu": {
+      "version": "4.18.0",
+      "resolved": "https://registry.npmjs.org/@rollup/rollup-linux-s390x-gnu/-/rollup-linux-s390x-gnu-4.18.0.tgz",
+      "integrity": "sha512-0UyyRHyDN42QL+NbqevXIIUnKA47A+45WyasO+y2bGJ1mhQrfrtXUpTxCOrfxCR4esV3/RLYyucGVPiUsO8xjg==",
+      "cpu": [
+        "s390x"
+      ],
+      "optional": true,
+      "os": [
+        "linux"
+      ]
+    },
+    "node_modules/@rollup/rollup-linux-x64-gnu": {
+      "version": "4.18.0",
+      "resolved": "https://registry.npmjs.org/@rollup/rollup-linux-x64-gnu/-/rollup-linux-x64-gnu-4.18.0.tgz",
+      "integrity": "sha512-xuglR2rBVHA5UsI8h8UbX4VJ470PtGCf5Vpswh7p2ukaqBGFTnsfzxUBetoWBWymHMxbIG0Cmx7Y9qDZzr648w==",
+      "cpu": [
+        "x64"
+      ],
+      "optional": true,
+      "os": [
+        "linux"
+      ]
+    },
+    "node_modules/@rollup/rollup-linux-x64-musl": {
+      "version": "4.18.0",
+      "resolved": "https://registry.npmjs.org/@rollup/rollup-linux-x64-musl/-/rollup-linux-x64-musl-4.18.0.tgz",
+      "integrity": "sha512-LKaqQL9osY/ir2geuLVvRRs+utWUNilzdE90TpyoX0eNqPzWjRm14oMEE+YLve4k/NAqCdPkGYDaDF5Sw+xBfg==",
+      "cpu": [
+        "x64"
+      ],
+      "optional": true,
+      "os": [
+        "linux"
+      ]
+    },
+    "node_modules/@rollup/rollup-win32-arm64-msvc": {
+      "version": "4.18.0",
+      "resolved": "https://registry.npmjs.org/@rollup/rollup-win32-arm64-msvc/-/rollup-win32-arm64-msvc-4.18.0.tgz",
+      "integrity": "sha512-7J6TkZQFGo9qBKH0pk2cEVSRhJbL6MtfWxth7Y5YmZs57Pi+4x6c2dStAUvaQkHQLnEQv1jzBUW43GvZW8OFqA==",
+      "cpu": [
+        "arm64"
+      ],
+      "optional": true,
+      "os": [
+        "win32"
+      ]
+    },
+    "node_modules/@rollup/rollup-win32-ia32-msvc": {
+      "version": "4.18.0",
+      "resolved": "https://registry.npmjs.org/@rollup/rollup-win32-ia32-msvc/-/rollup-win32-ia32-msvc-4.18.0.tgz",
+      "integrity": "sha512-Txjh+IxBPbkUB9+SXZMpv+b/vnTEtFyfWZgJ6iyCmt2tdx0OF5WhFowLmnh8ENGNpfUlUZkdI//4IEmhwPieNg==",
+      "cpu": [
+        "ia32"
+      ],
+      "optional": true,
+      "os": [
+        "win32"
+      ]
+    },
+    "node_modules/@rollup/rollup-win32-x64-msvc": {
+      "version": "4.18.0",
+      "resolved": "https://registry.npmjs.org/@rollup/rollup-win32-x64-msvc/-/rollup-win32-x64-msvc-4.18.0.tgz",
+      "integrity": "sha512-UOo5FdvOL0+eIVTgS4tIdbW+TtnBLWg1YBCcU2KWM7nuNwRz9bksDX1bekJJCpu25N1DVWaCwnT39dVQxzqS8g==",
+      "cpu": [
+        "x64"
+      ],
+      "optional": true,
+      "os": [
+        "win32"
+      ]
+    },
+    "node_modules/@sinclair/typebox": {
+      "version": "0.27.8",
+      "resolved": "https://registry.npmjs.org/@sinclair/typebox/-/typebox-0.27.8.tgz",
+      "integrity": "sha512-+Fj43pSMwJs4KRrH/938Uf+uAELIgVBmQzg/q1YG10djyfA3TnrU8N8XzqCh/okZdszqBQTZf96idMfE5lnwTA==",
+      "dev": true
+    },
+    "node_modules/@sindresorhus/is": {
+      "version": "4.6.0",
+      "resolved": "https://registry.npmjs.org/@sindresorhus/is/-/is-4.6.0.tgz",
+      "integrity": "sha512-t09vSN3MdfsyCHoFcTRCH/iUtG7OJ0CsjzB8cjAmKc/va/kIgeDI/TxsigdncE/4be734m0cvIYwNaV4i2XqAw==",
+      "dev": true,
+      "engines": {
+        "node": ">=10"
+      },
+      "funding": {
+        "url": "https://github.com/sindresorhus/is?sponsor=1"
+      }
+    },
+    "node_modules/@socket.io/component-emitter": {
+      "version": "3.1.2",
+      "resolved": "https://registry.npmjs.org/@socket.io/component-emitter/-/component-emitter-3.1.2.tgz",
+      "integrity": "sha512-9BCxFwvbGg/RsZK9tjXd8s4UcwR0MWeFQ1XEKIQVVvAGJyINdrqKMcTRyLoK8Rse1GjzLV9cwjWV1olXRWEXVA=="
+    },
+    "node_modules/@svgr/babel-plugin-add-jsx-attribute": {
+      "version": "8.0.0",
+      "resolved": "https://registry.npmjs.org/@svgr/babel-plugin-add-jsx-attribute/-/babel-plugin-add-jsx-attribute-8.0.0.tgz",
+      "integrity": "sha512-b9MIk7yhdS1pMCZM8VeNfUlSKVRhsHZNMl5O9SfaX0l0t5wjdgu4IDzGB8bpnGBBOjGST3rRFVsaaEtI4W6f7g==",
+      "engines": {
+        "node": ">=14"
+      },
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/gregberge"
+      },
+      "peerDependencies": {
+        "@babel/core": "^7.0.0-0"
+      }
+    },
+    "node_modules/@svgr/babel-plugin-remove-jsx-attribute": {
+      "version": "8.0.0",
+      "resolved": "https://registry.npmjs.org/@svgr/babel-plugin-remove-jsx-attribute/-/babel-plugin-remove-jsx-attribute-8.0.0.tgz",
+      "integrity": "sha512-BcCkm/STipKvbCl6b7QFrMh/vx00vIP63k2eM66MfHJzPr6O2U0jYEViXkHJWqXqQYjdeA9cuCl5KWmlwjDvbA==",
+      "engines": {
+        "node": ">=14"
+      },
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/gregberge"
+      },
+      "peerDependencies": {
+        "@babel/core": "^7.0.0-0"
+      }
+    },
+    "node_modules/@svgr/babel-plugin-remove-jsx-empty-expression": {
+      "version": "8.0.0",
+      "resolved": "https://registry.npmjs.org/@svgr/babel-plugin-remove-jsx-empty-expression/-/babel-plugin-remove-jsx-empty-expression-8.0.0.tgz",
+      "integrity": "sha512-5BcGCBfBxB5+XSDSWnhTThfI9jcO5f0Ai2V24gZpG+wXF14BzwxxdDb4g6trdOux0rhibGs385BeFMSmxtS3uA==",
+      "engines": {
+        "node": ">=14"
+      },
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/gregberge"
+      },
+      "peerDependencies": {
+        "@babel/core": "^7.0.0-0"
+      }
+    },
+    "node_modules/@svgr/babel-plugin-replace-jsx-attribute-value": {
+      "version": "8.0.0",
+      "resolved": "https://registry.npmjs.org/@svgr/babel-plugin-replace-jsx-attribute-value/-/babel-plugin-replace-jsx-attribute-value-8.0.0.tgz",
+      "integrity": "sha512-KVQ+PtIjb1BuYT3ht8M5KbzWBhdAjjUPdlMtpuw/VjT8coTrItWX6Qafl9+ji831JaJcu6PJNKCV0bp01lBNzQ==",
+      "engines": {
+        "node": ">=14"
+      },
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/gregberge"
+      },
+      "peerDependencies": {
+        "@babel/core": "^7.0.0-0"
+      }
+    },
+    "node_modules/@svgr/babel-plugin-svg-dynamic-title": {
+      "version": "8.0.0",
+      "resolved": "https://registry.npmjs.org/@svgr/babel-plugin-svg-dynamic-title/-/babel-plugin-svg-dynamic-title-8.0.0.tgz",
+      "integrity": "sha512-omNiKqwjNmOQJ2v6ge4SErBbkooV2aAWwaPFs2vUY7p7GhVkzRkJ00kILXQvRhA6miHnNpXv7MRnnSjdRjK8og==",
+      "engines": {
+        "node": ">=14"
       },
       "funding": {
-        "type": "opencollective",
-        "url": "https://opencollective.com/preact"
+        "type": "github",
+        "url": "https://github.com/sponsors/gregberge"
       },
       "peerDependencies": {
-        "react": "^16.14.0 || 17.x || 18.x"
-      }
-    },
-    "node_modules/@radix-ui/number": {
-      "version": "1.0.1",
-      "resolved": "https://registry.npmjs.org/@radix-ui/number/-/number-1.0.1.tgz",
-      "integrity": "sha512-T5gIdVO2mmPW3NNhjNgEP3cqMXjXL9UbO0BzWcXfvdBs+BohbQxvd/K5hSVKmn9/lbTdsQVKbUcP5WLCwvUbBg==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10"
-      }
-    },
-    "node_modules/@radix-ui/primitive": {
-      "version": "1.0.1",
-      "resolved": "https://registry.npmjs.org/@radix-ui/primitive/-/primitive-1.0.1.tgz",
-      "integrity": "sha512-yQ8oGX2GVsEYMWGxcovu1uGWPCxV5BFfeeYxqPmuAzUyLT9qmaMXSAhXpb0WrspIeqYzdJpkh2vHModJPgRIaw==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10"
+        "@babel/core": "^7.0.0-0"
       }
     },
-    "node_modules/@radix-ui/react-accordion": {
-      "version": "1.1.2",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-accordion/-/react-accordion-1.1.2.tgz",
-      "integrity": "sha512-fDG7jcoNKVjSK6yfmuAs0EnPDro0WMXIhMtXdTBWqEioVW206ku+4Lw07e+13lUkFkpoEQ2PdeMIAGpdqEAmDg==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/primitive": "1.0.1",
-        "@radix-ui/react-collapsible": "1.0.3",
-        "@radix-ui/react-collection": "1.0.3",
-        "@radix-ui/react-compose-refs": "1.0.1",
-        "@radix-ui/react-context": "1.0.1",
-        "@radix-ui/react-direction": "1.0.1",
-        "@radix-ui/react-id": "1.0.1",
-        "@radix-ui/react-primitive": "1.0.3",
-        "@radix-ui/react-use-controllable-state": "1.0.1"
+    "node_modules/@svgr/babel-plugin-svg-em-dimensions": {
+      "version": "8.0.0",
+      "resolved": "https://registry.npmjs.org/@svgr/babel-plugin-svg-em-dimensions/-/babel-plugin-svg-em-dimensions-8.0.0.tgz",
+      "integrity": "sha512-mURHYnu6Iw3UBTbhGwE/vsngtCIbHE43xCRK7kCw4t01xyGqb2Pd+WXekRRoFOBIY29ZoOhUCTEweDMdrjfi9g==",
+      "engines": {
+        "node": ">=14"
       },
-      "peerDependencies": {
-        "@types/react": "*",
-        "@types/react-dom": "*",
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/gregberge"
       },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        },
-        "@types/react-dom": {
-          "optional": true
-        }
+      "peerDependencies": {
+        "@babel/core": "^7.0.0-0"
       }
     },
-    "node_modules/@radix-ui/react-arrow": {
-      "version": "1.0.3",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-arrow/-/react-arrow-1.0.3.tgz",
-      "integrity": "sha512-wSP+pHsB/jQRaL6voubsQ/ZlrGBHHrOjmBnr19hxYgtS0WvAFwZhK2WP/YY5yF9uKECCEEDGxuLxq1NBK51wFA==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/react-primitive": "1.0.3"
+    "node_modules/@svgr/babel-plugin-transform-react-native-svg": {
+      "version": "8.1.0",
+      "resolved": "https://registry.npmjs.org/@svgr/babel-plugin-transform-react-native-svg/-/babel-plugin-transform-react-native-svg-8.1.0.tgz",
+      "integrity": "sha512-Tx8T58CHo+7nwJ+EhUwx3LfdNSG9R2OKfaIXXs5soiy5HtgoAEkDay9LIimLOcG8dJQH1wPZp/cnAv6S9CrR1Q==",
+      "engines": {
+        "node": ">=14"
       },
-      "peerDependencies": {
-        "@types/react": "*",
-        "@types/react-dom": "*",
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/gregberge"
       },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        },
-        "@types/react-dom": {
-          "optional": true
-        }
+      "peerDependencies": {
+        "@babel/core": "^7.0.0-0"
       }
     },
-    "node_modules/@radix-ui/react-checkbox": {
-      "version": "1.0.4",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-checkbox/-/react-checkbox-1.0.4.tgz",
-      "integrity": "sha512-CBuGQa52aAYnADZVt/KBQzXrwx6TqnlwtcIPGtVt5JkkzQwMOLJjPukimhfKEr4GQNd43C+djUh5Ikopj8pSLg==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/primitive": "1.0.1",
-        "@radix-ui/react-compose-refs": "1.0.1",
-        "@radix-ui/react-context": "1.0.1",
-        "@radix-ui/react-presence": "1.0.1",
-        "@radix-ui/react-primitive": "1.0.3",
-        "@radix-ui/react-use-controllable-state": "1.0.1",
-        "@radix-ui/react-use-previous": "1.0.1",
-        "@radix-ui/react-use-size": "1.0.1"
+    "node_modules/@svgr/babel-plugin-transform-svg-component": {
+      "version": "8.0.0",
+      "resolved": "https://registry.npmjs.org/@svgr/babel-plugin-transform-svg-component/-/babel-plugin-transform-svg-component-8.0.0.tgz",
+      "integrity": "sha512-DFx8xa3cZXTdb/k3kfPeaixecQLgKh5NVBMwD0AQxOzcZawK4oo1Jh9LbrcACUivsCA7TLG8eeWgrDXjTMhRmw==",
+      "engines": {
+        "node": ">=12"
       },
-      "peerDependencies": {
-        "@types/react": "*",
-        "@types/react-dom": "*",
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/gregberge"
       },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        },
-        "@types/react-dom": {
-          "optional": true
-        }
+      "peerDependencies": {
+        "@babel/core": "^7.0.0-0"
       }
     },
-    "node_modules/@radix-ui/react-collapsible": {
-      "version": "1.0.3",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-collapsible/-/react-collapsible-1.0.3.tgz",
-      "integrity": "sha512-UBmVDkmR6IvDsloHVN+3rtx4Mi5TFvylYXpluuv0f37dtaz3H99bp8No0LGXRigVpl3UAT4l9j6bIchh42S/Gg==",
+    "node_modules/@svgr/babel-preset": {
+      "version": "8.1.0",
+      "resolved": "https://registry.npmjs.org/@svgr/babel-preset/-/babel-preset-8.1.0.tgz",
+      "integrity": "sha512-7EYDbHE7MxHpv4sxvnVPngw5fuR6pw79SkcrILHJ/iMpuKySNCl5W1qcwPEpU+LgyRXOaAFgH0KhwD18wwg6ug==",
       "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/primitive": "1.0.1",
-        "@radix-ui/react-compose-refs": "1.0.1",
-        "@radix-ui/react-context": "1.0.1",
-        "@radix-ui/react-id": "1.0.1",
-        "@radix-ui/react-presence": "1.0.1",
-        "@radix-ui/react-primitive": "1.0.3",
-        "@radix-ui/react-use-controllable-state": "1.0.1",
-        "@radix-ui/react-use-layout-effect": "1.0.1"
+        "@svgr/babel-plugin-add-jsx-attribute": "8.0.0",
+        "@svgr/babel-plugin-remove-jsx-attribute": "8.0.0",
+        "@svgr/babel-plugin-remove-jsx-empty-expression": "8.0.0",
+        "@svgr/babel-plugin-replace-jsx-attribute-value": "8.0.0",
+        "@svgr/babel-plugin-svg-dynamic-title": "8.0.0",
+        "@svgr/babel-plugin-svg-em-dimensions": "8.0.0",
+        "@svgr/babel-plugin-transform-react-native-svg": "8.1.0",
+        "@svgr/babel-plugin-transform-svg-component": "8.0.0"
       },
-      "peerDependencies": {
-        "@types/react": "*",
-        "@types/react-dom": "*",
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
+      "engines": {
+        "node": ">=14"
       },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        },
-        "@types/react-dom": {
-          "optional": true
-        }
-      }
-    },
-    "node_modules/@radix-ui/react-collection": {
-      "version": "1.0.3",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-collection/-/react-collection-1.0.3.tgz",
-      "integrity": "sha512-3SzW+0PW7yBBoQlT8wNcGtaxaD0XSu0uLUFgrtHY08Acx05TaHaOmVLR73c0j/cqpDy53KBMO7s0dx2wmOIDIA==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/react-compose-refs": "1.0.1",
-        "@radix-ui/react-context": "1.0.1",
-        "@radix-ui/react-primitive": "1.0.3",
-        "@radix-ui/react-slot": "1.0.2"
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/gregberge"
       },
       "peerDependencies": {
-        "@types/react": "*",
-        "@types/react-dom": "*",
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        },
-        "@types/react-dom": {
-          "optional": true
-        }
+        "@babel/core": "^7.0.0-0"
       }
     },
-    "node_modules/@radix-ui/react-compose-refs": {
-      "version": "1.0.1",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-compose-refs/-/react-compose-refs-1.0.1.tgz",
-      "integrity": "sha512-fDSBgd44FKHa1FRMU59qBMPFcl2PZE+2nmqunj+BWFyYYjnhIDWL2ItDs3rrbJDQOtzt5nIebLCQc4QRfz6LJw==",
+    "node_modules/@svgr/core": {
+      "version": "8.1.0",
+      "resolved": "https://registry.npmjs.org/@svgr/core/-/core-8.1.0.tgz",
+      "integrity": "sha512-8QqtOQT5ACVlmsvKOJNEaWmRPmcojMOzCz4Hs2BGG/toAp/K38LcsMRyLp349glq5AzJbCEeimEoxaX6v/fLrA==",
       "dependencies": {
-        "@babel/runtime": "^7.13.10"
+        "@babel/core": "^7.21.3",
+        "@svgr/babel-preset": "8.1.0",
+        "camelcase": "^6.2.0",
+        "cosmiconfig": "^8.1.3",
+        "snake-case": "^3.0.4"
       },
-      "peerDependencies": {
-        "@types/react": "*",
-        "react": "^16.8 || ^17.0 || ^18.0"
+      "engines": {
+        "node": ">=14"
       },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        }
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/gregberge"
       }
     },
-    "node_modules/@radix-ui/react-context": {
-      "version": "1.0.1",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-context/-/react-context-1.0.1.tgz",
-      "integrity": "sha512-ebbrdFoYTcuZ0v4wG5tedGnp9tzcV8awzsxYph7gXUyvnNLuTIcCk1q17JEbnVhXAKG9oX3KtchwiMIAYp9NLg==",
+    "node_modules/@svgr/hast-util-to-babel-ast": {
+      "version": "8.0.0",
+      "resolved": "https://registry.npmjs.org/@svgr/hast-util-to-babel-ast/-/hast-util-to-babel-ast-8.0.0.tgz",
+      "integrity": "sha512-EbDKwO9GpfWP4jN9sGdYwPBU0kdomaPIL2Eu4YwmgP+sJeXT+L7bMwJUBnhzfH8Q2qMBqZ4fJwpCyYsAN3mt2Q==",
       "dependencies": {
-        "@babel/runtime": "^7.13.10"
+        "@babel/types": "^7.21.3",
+        "entities": "^4.4.0"
       },
-      "peerDependencies": {
-        "@types/react": "*",
-        "react": "^16.8 || ^17.0 || ^18.0"
+      "engines": {
+        "node": ">=14"
       },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        }
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/gregberge"
       }
     },
-    "node_modules/@radix-ui/react-dialog": {
-      "version": "1.0.5",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-dialog/-/react-dialog-1.0.5.tgz",
-      "integrity": "sha512-GjWJX/AUpB703eEBanuBnIWdIXg6NvJFCXcNlSZk4xdszCdhrJgBoUd1cGk67vFO+WdA2pfI/plOpqz/5GUP6Q==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/primitive": "1.0.1",
-        "@radix-ui/react-compose-refs": "1.0.1",
-        "@radix-ui/react-context": "1.0.1",
-        "@radix-ui/react-dismissable-layer": "1.0.5",
-        "@radix-ui/react-focus-guards": "1.0.1",
-        "@radix-ui/react-focus-scope": "1.0.4",
-        "@radix-ui/react-id": "1.0.1",
-        "@radix-ui/react-portal": "1.0.4",
-        "@radix-ui/react-presence": "1.0.1",
-        "@radix-ui/react-primitive": "1.0.3",
-        "@radix-ui/react-slot": "1.0.2",
-        "@radix-ui/react-use-controllable-state": "1.0.1",
-        "aria-hidden": "^1.1.1",
-        "react-remove-scroll": "2.5.5"
-      },
-      "peerDependencies": {
-        "@types/react": "*",
-        "@types/react-dom": "*",
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
+    "node_modules/@svgr/hast-util-to-babel-ast/node_modules/entities": {
+      "version": "4.5.0",
+      "resolved": "https://registry.npmjs.org/entities/-/entities-4.5.0.tgz",
+      "integrity": "sha512-V0hjH4dGPh9Ao5p0MoRY6BVqtwCjhz6vI5LT8AJ55H+4g9/4vbHx1I54fS0XuclLhDHArPQCiMjDxjaL8fPxhw==",
+      "engines": {
+        "node": ">=0.12"
       },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        },
-        "@types/react-dom": {
-          "optional": true
-        }
+      "funding": {
+        "url": "https://github.com/fb55/entities?sponsor=1"
       }
     },
-    "node_modules/@radix-ui/react-direction": {
-      "version": "1.0.1",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-direction/-/react-direction-1.0.1.tgz",
-      "integrity": "sha512-RXcvnXgyvYvBEOhCBuddKecVkoMiI10Jcm5cTI7abJRAHYfFxeu+FBQs/DvdxSYucxR5mna0dNsL6QFlds5TMA==",
+    "node_modules/@svgr/plugin-jsx": {
+      "version": "8.1.0",
+      "resolved": "https://registry.npmjs.org/@svgr/plugin-jsx/-/plugin-jsx-8.1.0.tgz",
+      "integrity": "sha512-0xiIyBsLlr8quN+WyuxooNW9RJ0Dpr8uOnH/xrCVO8GLUcwHISwj1AG0k+LFzteTkAA0GbX0kj9q6Dk70PTiPA==",
       "dependencies": {
-        "@babel/runtime": "^7.13.10"
+        "@babel/core": "^7.21.3",
+        "@svgr/babel-preset": "8.1.0",
+        "@svgr/hast-util-to-babel-ast": "8.0.0",
+        "svg-parser": "^2.0.4"
       },
-      "peerDependencies": {
-        "@types/react": "*",
-        "react": "^16.8 || ^17.0 || ^18.0"
+      "engines": {
+        "node": ">=14"
       },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        }
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/gregberge"
+      },
+      "peerDependencies": {
+        "@svgr/core": "*"
       }
     },
-    "node_modules/@radix-ui/react-dismissable-layer": {
-      "version": "1.0.5",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-dismissable-layer/-/react-dismissable-layer-1.0.5.tgz",
-      "integrity": "sha512-aJeDjQhywg9LBu2t/At58hCvr7pEm0o2Ke1x33B+MhjNmmZ17sy4KImo0KPLgsnc/zN7GPdce8Cnn0SWvwZO7g==",
+    "node_modules/@swc/cli": {
+      "version": "0.3.12",
+      "resolved": "https://registry.npmjs.org/@swc/cli/-/cli-0.3.12.tgz",
+      "integrity": "sha512-h7bvxT+4+UDrLWJLFHt6V+vNAcUNii2G4aGSSotKz1ECEk4MyEh5CWxmeSscwuz5K3i+4DWTgm4+4EyMCQKn+g==",
+      "dev": true,
       "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/primitive": "1.0.1",
-        "@radix-ui/react-compose-refs": "1.0.1",
-        "@radix-ui/react-primitive": "1.0.3",
-        "@radix-ui/react-use-callback-ref": "1.0.1",
-        "@radix-ui/react-use-escape-keydown": "1.0.3"
+        "@mole-inc/bin-wrapper": "^8.0.1",
+        "@swc/counter": "^0.1.3",
+        "commander": "^8.3.0",
+        "fast-glob": "^3.2.5",
+        "minimatch": "^9.0.3",
+        "piscina": "^4.3.0",
+        "semver": "^7.3.8",
+        "slash": "3.0.0",
+        "source-map": "^0.7.3"
+      },
+      "bin": {
+        "spack": "bin/spack.js",
+        "swc": "bin/swc.js",
+        "swcx": "bin/swcx.js"
+      },
+      "engines": {
+        "node": ">= 16.14.0"
       },
       "peerDependencies": {
-        "@types/react": "*",
-        "@types/react-dom": "*",
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
+        "@swc/core": "^1.2.66",
+        "chokidar": "^3.5.1"
       },
       "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        },
-        "@types/react-dom": {
+        "chokidar": {
           "optional": true
         }
       }
     },
-    "node_modules/@radix-ui/react-dropdown-menu": {
-      "version": "2.0.6",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-dropdown-menu/-/react-dropdown-menu-2.0.6.tgz",
-      "integrity": "sha512-i6TuFOoWmLWq+M/eCLGd/bQ2HfAX1RJgvrBQ6AQLmzfvsLdefxbWu8G9zczcPFfcSPehz9GcpF6K9QYreFV8hA==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/primitive": "1.0.1",
-        "@radix-ui/react-compose-refs": "1.0.1",
-        "@radix-ui/react-context": "1.0.1",
-        "@radix-ui/react-id": "1.0.1",
-        "@radix-ui/react-menu": "2.0.6",
-        "@radix-ui/react-primitive": "1.0.3",
-        "@radix-ui/react-use-controllable-state": "1.0.1"
-      },
-      "peerDependencies": {
-        "@types/react": "*",
-        "@types/react-dom": "*",
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
+    "node_modules/@swc/cli/node_modules/semver": {
+      "version": "7.6.2",
+      "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.2.tgz",
+      "integrity": "sha512-FNAIBWCx9qcRhoHcgcJ0gvU7SN1lYU2ZXuSfl04bSC5OpvDHFyJCjdNHomPXxjQlCBU67YW64PzY7/VIEH7F2w==",
+      "dev": true,
+      "bin": {
+        "semver": "bin/semver.js"
       },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        },
-        "@types/react-dom": {
-          "optional": true
-        }
+      "engines": {
+        "node": ">=10"
       }
     },
-    "node_modules/@radix-ui/react-focus-guards": {
-      "version": "1.0.1",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-focus-guards/-/react-focus-guards-1.0.1.tgz",
-      "integrity": "sha512-Rect2dWbQ8waGzhMavsIbmSVCgYxkXLxxR3ZvCX79JOglzdEy4JXMb98lq4hPxUbLr77nP0UOGf4rcMU+s1pUA==",
+    "node_modules/@swc/core": {
+      "version": "1.6.3",
+      "resolved": "https://registry.npmjs.org/@swc/core/-/core-1.6.3.tgz",
+      "integrity": "sha512-mZpei+LqE+AL+nwgERMQey9EJA9/yhHTN6nwbobH5GnSij/lhfTdGfAb1iumOrroqEcXbHUaK//7wOw7DjBGdA==",
+      "dev": true,
+      "hasInstallScript": true,
       "dependencies": {
-        "@babel/runtime": "^7.13.10"
+        "@swc/counter": "^0.1.3",
+        "@swc/types": "^0.1.8"
+      },
+      "engines": {
+        "node": ">=10"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/swc"
+      },
+      "optionalDependencies": {
+        "@swc/core-darwin-arm64": "1.6.3",
+        "@swc/core-darwin-x64": "1.6.3",
+        "@swc/core-linux-arm-gnueabihf": "1.6.3",
+        "@swc/core-linux-arm64-gnu": "1.6.3",
+        "@swc/core-linux-arm64-musl": "1.6.3",
+        "@swc/core-linux-x64-gnu": "1.6.3",
+        "@swc/core-linux-x64-musl": "1.6.3",
+        "@swc/core-win32-arm64-msvc": "1.6.3",
+        "@swc/core-win32-ia32-msvc": "1.6.3",
+        "@swc/core-win32-x64-msvc": "1.6.3"
       },
       "peerDependencies": {
-        "@types/react": "*",
-        "react": "^16.8 || ^17.0 || ^18.0"
+        "@swc/helpers": "*"
       },
       "peerDependenciesMeta": {
-        "@types/react": {
+        "@swc/helpers": {
           "optional": true
         }
       }
     },
-    "node_modules/@radix-ui/react-focus-scope": {
-      "version": "1.0.4",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-focus-scope/-/react-focus-scope-1.0.4.tgz",
-      "integrity": "sha512-sL04Mgvf+FmyvZeYfNu1EPAaaxD+aw7cYeIB9L9Fvq8+urhltTRaEo5ysKOpHuKPclsZcSUMKlN05x4u+CINpA==",
+    "node_modules/@swc/core-darwin-arm64": {
+      "version": "1.6.3",
+      "resolved": "https://registry.npmjs.org/@swc/core-darwin-arm64/-/core-darwin-arm64-1.6.3.tgz",
+      "integrity": "sha512-3r7cJf1BcE30iyF1rnOSKrEzIR+cqnyYSZvivrm62TZdXVsIjfXe1xulsKGxZgNeLY5erIu7ukvMvBvPhnQvqA==",
+      "cpu": [
+        "arm64"
+      ],
+      "dev": true,
+      "optional": true,
+      "os": [
+        "darwin"
+      ],
+      "engines": {
+        "node": ">=10"
+      }
+    },
+    "node_modules/@swc/core-darwin-x64": {
+      "version": "1.6.3",
+      "resolved": "https://registry.npmjs.org/@swc/core-darwin-x64/-/core-darwin-x64-1.6.3.tgz",
+      "integrity": "sha512-8GLZ23IgVpF5xh2SbS5ZW/12/EEBuRU1hFOLB5rKERJU0y1RJ6YhDMf/FuOWhfHQcFM7TeedBwHIzaF+tdKKlw==",
+      "cpu": [
+        "x64"
+      ],
+      "dev": true,
+      "optional": true,
+      "os": [
+        "darwin"
+      ],
+      "engines": {
+        "node": ">=10"
+      }
+    },
+    "node_modules/@swc/core-linux-arm-gnueabihf": {
+      "version": "1.6.3",
+      "resolved": "https://registry.npmjs.org/@swc/core-linux-arm-gnueabihf/-/core-linux-arm-gnueabihf-1.6.3.tgz",
+      "integrity": "sha512-VQ/bduX7WhLOlGbJLMG7UH0LBehjjx43R4yuk55rjjJLqpvX5fQzMsWhQdIZ5vsc+4ORzdgtEAlpumTv6bsD1A==",
+      "cpu": [
+        "arm"
+      ],
+      "dev": true,
+      "optional": true,
+      "os": [
+        "linux"
+      ],
+      "engines": {
+        "node": ">=10"
+      }
+    },
+    "node_modules/@swc/core-linux-arm64-gnu": {
+      "version": "1.6.3",
+      "resolved": "https://registry.npmjs.org/@swc/core-linux-arm64-gnu/-/core-linux-arm64-gnu-1.6.3.tgz",
+      "integrity": "sha512-jHIQ/PCwtdDBIF/BiC5DochswuCAIW/T5skJ+eDMbta7+QtEnZCXTZWpT5ORoEY/gtsE2fjpOA4TS6fBBvXqUw==",
+      "cpu": [
+        "arm64"
+      ],
+      "dev": true,
+      "optional": true,
+      "os": [
+        "linux"
+      ],
+      "engines": {
+        "node": ">=10"
+      }
+    },
+    "node_modules/@swc/core-linux-arm64-musl": {
+      "version": "1.6.3",
+      "resolved": "https://registry.npmjs.org/@swc/core-linux-arm64-musl/-/core-linux-arm64-musl-1.6.3.tgz",
+      "integrity": "sha512-gA6velEUD27Dwu0BlR9hCcFzkWq2YL2pDAU5qbgeuGhaMiUCBssfqTQB+2ctEnV+AZx+hSMJOHvtA+uFZjfRrw==",
+      "cpu": [
+        "arm64"
+      ],
+      "dev": true,
+      "optional": true,
+      "os": [
+        "linux"
+      ],
+      "engines": {
+        "node": ">=10"
+      }
+    },
+    "node_modules/@swc/core-linux-x64-gnu": {
+      "version": "1.6.3",
+      "resolved": "https://registry.npmjs.org/@swc/core-linux-x64-gnu/-/core-linux-x64-gnu-1.6.3.tgz",
+      "integrity": "sha512-fy4qoBDr5I8r+ZNCZxs/oZcmu4j/8mtSud6Ka102DaSxEjNg0vfIdo9ITsVIPsofhUTmDKjQsPB2O7YUlJAioQ==",
+      "cpu": [
+        "x64"
+      ],
+      "dev": true,
+      "optional": true,
+      "os": [
+        "linux"
+      ],
+      "engines": {
+        "node": ">=10"
+      }
+    },
+    "node_modules/@swc/core-linux-x64-musl": {
+      "version": "1.6.3",
+      "resolved": "https://registry.npmjs.org/@swc/core-linux-x64-musl/-/core-linux-x64-musl-1.6.3.tgz",
+      "integrity": "sha512-c/twcMbq/Gpq47G+b3kWgoaCujpXO11aRgJx6am+CprvP4uNeBHEpQkxD+DQmdWFHisZd0i9GB8NG3e7L9Rz9Q==",
+      "cpu": [
+        "x64"
+      ],
+      "dev": true,
+      "optional": true,
+      "os": [
+        "linux"
+      ],
+      "engines": {
+        "node": ">=10"
+      }
+    },
+    "node_modules/@swc/core-win32-arm64-msvc": {
+      "version": "1.6.3",
+      "resolved": "https://registry.npmjs.org/@swc/core-win32-arm64-msvc/-/core-win32-arm64-msvc-1.6.3.tgz",
+      "integrity": "sha512-y6RxMtX45acReQmzkxcEfJscfBXce6QjuNgWQHHs9exA592BZzmolDUwgmAyjyvopz1lWX+KdymdZFKvuDSx4w==",
+      "cpu": [
+        "arm64"
+      ],
+      "dev": true,
+      "optional": true,
+      "os": [
+        "win32"
+      ],
+      "engines": {
+        "node": ">=10"
+      }
+    },
+    "node_modules/@swc/core-win32-ia32-msvc": {
+      "version": "1.6.3",
+      "resolved": "https://registry.npmjs.org/@swc/core-win32-ia32-msvc/-/core-win32-ia32-msvc-1.6.3.tgz",
+      "integrity": "sha512-41h7z3xgukl1HDDwhquaeOPSP1OWeHl+mWKnJVmmwd3ui/oowUDCO856qa6JagBgPSnAGfyXwv6vthuXwyCcWA==",
+      "cpu": [
+        "ia32"
+      ],
+      "dev": true,
+      "optional": true,
+      "os": [
+        "win32"
+      ],
+      "engines": {
+        "node": ">=10"
+      }
+    },
+    "node_modules/@swc/core-win32-x64-msvc": {
+      "version": "1.6.3",
+      "resolved": "https://registry.npmjs.org/@swc/core-win32-x64-msvc/-/core-win32-x64-msvc-1.6.3.tgz",
+      "integrity": "sha512-//bnwo9b8Vp1ED06eXCHyGZ5xIpdkQgg2fuFDdtd1FITl7r5bdQh2ryRzPiKiGwgXZwZQitUshI4JeEX9IuW+Q==",
+      "cpu": [
+        "x64"
+      ],
+      "dev": true,
+      "optional": true,
+      "os": [
+        "win32"
+      ],
+      "engines": {
+        "node": ">=10"
+      }
+    },
+    "node_modules/@swc/counter": {
+      "version": "0.1.3",
+      "resolved": "https://registry.npmjs.org/@swc/counter/-/counter-0.1.3.tgz",
+      "integrity": "sha512-e2BR4lsJkkRlKZ/qCHPw9ZaSxc0MVUd7gtbtaB7aMvHeJVYe8sOB8DBZkP2DtISHGSku9sCK6T6cnY0CtXrOCQ==",
+      "dev": true
+    },
+    "node_modules/@swc/helpers": {
+      "version": "0.5.11",
+      "resolved": "https://registry.npmjs.org/@swc/helpers/-/helpers-0.5.11.tgz",
+      "integrity": "sha512-YNlnKRWF2sVojTpIyzwou9XoTNbzbzONwRhOoniEioF1AtaitTvVZblaQRrAzChWQ1bLYyYSWzM18y4WwgzJ+A==",
+      "dependencies": {
+        "tslib": "^2.4.0"
+      }
+    },
+    "node_modules/@swc/types": {
+      "version": "0.1.8",
+      "resolved": "https://registry.npmjs.org/@swc/types/-/types-0.1.8.tgz",
+      "integrity": "sha512-RNFA3+7OJFNYY78x0FYwi1Ow+iF1eF5WvmfY1nXPOEH4R2p/D4Cr1vzje7dNAI2aLFqpv8Wyz4oKSWqIZArpQA==",
+      "dev": true,
       "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/react-compose-refs": "1.0.1",
-        "@radix-ui/react-primitive": "1.0.3",
-        "@radix-ui/react-use-callback-ref": "1.0.1"
-      },
-      "peerDependencies": {
-        "@types/react": "*",
-        "@types/react-dom": "*",
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        },
-        "@types/react-dom": {
-          "optional": true
-        }
+        "@swc/counter": "^0.1.3"
       }
     },
-    "node_modules/@radix-ui/react-form": {
-      "version": "0.0.3",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-form/-/react-form-0.0.3.tgz",
-      "integrity": "sha512-kgE+Z/haV6fxE5WqIXj05KkaXa3OkZASoTDy25yX2EIp/x0c54rOH/vFr5nOZTg7n7T1z8bSyXmiVIFP9bbhPQ==",
+    "node_modules/@szmarczak/http-timer": {
+      "version": "4.0.6",
+      "resolved": "https://registry.npmjs.org/@szmarczak/http-timer/-/http-timer-4.0.6.tgz",
+      "integrity": "sha512-4BAffykYOgO+5nzBWYwE3W90sBgLJoUPRWWcL8wlyiM8IB8ipJz3UMJ9KXQd1RKQXpKp8Tutn80HZtWsu2u76w==",
+      "dev": true,
       "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/primitive": "1.0.1",
-        "@radix-ui/react-compose-refs": "1.0.1",
-        "@radix-ui/react-context": "1.0.1",
-        "@radix-ui/react-id": "1.0.1",
-        "@radix-ui/react-label": "2.0.2",
-        "@radix-ui/react-primitive": "1.0.3"
-      },
-      "peerDependencies": {
-        "@types/react": "*",
-        "@types/react-dom": "*",
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
+        "defer-to-connect": "^2.0.0"
       },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        },
-        "@types/react-dom": {
-          "optional": true
-        }
+      "engines": {
+        "node": ">=10"
       }
     },
-    "node_modules/@radix-ui/react-icons": {
-      "version": "1.3.0",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-icons/-/react-icons-1.3.0.tgz",
-      "integrity": "sha512-jQxj/0LKgp+j9BiTXz3O3sgs26RNet2iLWmsPyRz2SIcR4q/4SbazXfnYwbAr+vLYKSfc7qxzyGQA1HLlYiuNw==",
-      "peerDependencies": {
-        "react": "^16.x || ^17.x || ^18.x"
+    "node_modules/@tabler/icons": {
+      "version": "3.6.0",
+      "resolved": "https://registry.npmjs.org/@tabler/icons/-/icons-3.6.0.tgz",
+      "integrity": "sha512-Zv0Ofc64RCMpZ2F8CvsWAphrSjerx5hEErt/RMmE+W8r4E5l5Lizi+My9KbbZQ4NyAtrtrOX80OY1oROZrRzEA==",
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/codecalm"
       }
     },
-    "node_modules/@radix-ui/react-id": {
-      "version": "1.0.1",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-id/-/react-id-1.0.1.tgz",
-      "integrity": "sha512-tI7sT/kqYp8p96yGWY1OAnLHrqDgzHefRBKQ2YAkBS5ja7QLcZ9Z/uY7bEjPUatf8RomoXM8/1sMj1IJaE5UzQ==",
+    "node_modules/@tabler/icons-react": {
+      "version": "3.6.0",
+      "resolved": "https://registry.npmjs.org/@tabler/icons-react/-/icons-react-3.6.0.tgz",
+      "integrity": "sha512-mkYGxlphNzvKq32teL+Z8wZW7I9zDftmNPX38UnZVCGjss2qbg0puqLhi1unfm5Y0CSefg+iAQrsjSL+DHx9YA==",
       "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/react-use-layout-effect": "1.0.1"
+        "@tabler/icons": "3.6.0"
       },
-      "peerDependencies": {
-        "@types/react": "*",
-        "react": "^16.8 || ^17.0 || ^18.0"
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/codecalm"
       },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        }
+      "peerDependencies": {
+        "react": ">= 16"
       }
     },
-    "node_modules/@radix-ui/react-label": {
-      "version": "2.0.2",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-label/-/react-label-2.0.2.tgz",
-      "integrity": "sha512-N5ehvlM7qoTLx7nWPodsPYPgMzA5WM8zZChQg8nyFJKnDO5WHdba1vv5/H6IO5LtJMfD2Q3wh1qHFGNtK0w3bQ==",
+    "node_modules/@tailwindcss/forms": {
+      "version": "0.5.7",
+      "resolved": "https://registry.npmjs.org/@tailwindcss/forms/-/forms-0.5.7.tgz",
+      "integrity": "sha512-QE7X69iQI+ZXwldE+rzasvbJiyV/ju1FGHH0Qn2W3FKbuYtqp8LKcy6iSw79fVUT5/Vvf+0XgLCeYVG+UV6hOw==",
       "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/react-primitive": "1.0.3"
+        "mini-svg-data-uri": "^1.2.3"
       },
       "peerDependencies": {
-        "@types/react": "*",
-        "@types/react-dom": "*",
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        },
-        "@types/react-dom": {
-          "optional": true
-        }
+        "tailwindcss": ">=3.0.0 || >= 3.0.0-alpha.1"
       }
     },
-    "node_modules/@radix-ui/react-menu": {
-      "version": "2.0.6",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-menu/-/react-menu-2.0.6.tgz",
-      "integrity": "sha512-BVkFLS+bUC8HcImkRKPSiVumA1VPOOEC5WBMiT+QAVsPzW1FJzI9KnqgGxVDPBcql5xXrHkD3JOVoXWEXD8SYA==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/primitive": "1.0.1",
-        "@radix-ui/react-collection": "1.0.3",
-        "@radix-ui/react-compose-refs": "1.0.1",
-        "@radix-ui/react-context": "1.0.1",
-        "@radix-ui/react-direction": "1.0.1",
-        "@radix-ui/react-dismissable-layer": "1.0.5",
-        "@radix-ui/react-focus-guards": "1.0.1",
-        "@radix-ui/react-focus-scope": "1.0.4",
-        "@radix-ui/react-id": "1.0.1",
-        "@radix-ui/react-popper": "1.1.3",
-        "@radix-ui/react-portal": "1.0.4",
-        "@radix-ui/react-presence": "1.0.1",
-        "@radix-ui/react-primitive": "1.0.3",
-        "@radix-ui/react-roving-focus": "1.0.4",
-        "@radix-ui/react-slot": "1.0.2",
-        "@radix-ui/react-use-callback-ref": "1.0.1",
-        "aria-hidden": "^1.1.1",
-        "react-remove-scroll": "2.5.5"
-      },
+    "node_modules/@tailwindcss/line-clamp": {
+      "version": "0.4.4",
+      "resolved": "https://registry.npmjs.org/@tailwindcss/line-clamp/-/line-clamp-0.4.4.tgz",
+      "integrity": "sha512-5U6SY5z8N42VtrCrKlsTAA35gy2VSyYtHWCsg1H87NU1SXnEfekTVlrga9fzUDrrHcGi2Lb5KenUWb4lRQT5/g==",
       "peerDependencies": {
-        "@types/react": "*",
-        "@types/react-dom": "*",
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        },
-        "@types/react-dom": {
-          "optional": true
-        }
+        "tailwindcss": ">=2.0.0 || >=3.0.0 || >=3.0.0-alpha.1"
       }
     },
-    "node_modules/@radix-ui/react-menubar": {
-      "version": "1.0.4",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-menubar/-/react-menubar-1.0.4.tgz",
-      "integrity": "sha512-bHgUo9gayKZfaQcWSSLr++LyS0rgh+MvD89DE4fJ6TkGHvjHgPaBZf44hdka7ogOxIOdj9163J+5xL2Dn4qzzg==",
+    "node_modules/@tailwindcss/typography": {
+      "version": "0.5.13",
+      "resolved": "https://registry.npmjs.org/@tailwindcss/typography/-/typography-0.5.13.tgz",
+      "integrity": "sha512-ADGcJ8dX21dVVHIwTRgzrcunY6YY9uSlAHHGVKvkA+vLc5qLwEszvKts40lx7z0qc4clpjclwLeK5rVCV2P/uw==",
+      "dev": true,
       "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/primitive": "1.0.1",
-        "@radix-ui/react-collection": "1.0.3",
-        "@radix-ui/react-compose-refs": "1.0.1",
-        "@radix-ui/react-context": "1.0.1",
-        "@radix-ui/react-direction": "1.0.1",
-        "@radix-ui/react-id": "1.0.1",
-        "@radix-ui/react-menu": "2.0.6",
-        "@radix-ui/react-primitive": "1.0.3",
-        "@radix-ui/react-roving-focus": "1.0.4",
-        "@radix-ui/react-use-controllable-state": "1.0.1"
+        "lodash.castarray": "^4.4.0",
+        "lodash.isplainobject": "^4.0.6",
+        "lodash.merge": "^4.6.2",
+        "postcss-selector-parser": "6.0.10"
       },
       "peerDependencies": {
-        "@types/react": "*",
-        "@types/react-dom": "*",
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        },
-        "@types/react-dom": {
-          "optional": true
-        }
+        "tailwindcss": ">=3.0.0 || insiders"
       }
     },
-    "node_modules/@radix-ui/react-popover": {
-      "version": "1.0.7",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-popover/-/react-popover-1.0.7.tgz",
-      "integrity": "sha512-shtvVnlsxT6faMnK/a7n0wptwBD23xc1Z5mdrtKLwVEfsEMXodS0r5s0/g5P0hX//EKYZS2sxUjqfzlg52ZSnQ==",
+    "node_modules/@tanstack/react-virtual": {
+      "version": "3.5.0",
+      "resolved": "https://registry.npmjs.org/@tanstack/react-virtual/-/react-virtual-3.5.0.tgz",
+      "integrity": "sha512-rtvo7KwuIvqK9zb0VZ5IL7fiJAEnG+0EiFZz8FUOs+2mhGqdGmjKIaT1XU7Zq0eFqL0jonLlhbayJI/J2SA/Bw==",
       "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/primitive": "1.0.1",
-        "@radix-ui/react-compose-refs": "1.0.1",
-        "@radix-ui/react-context": "1.0.1",
-        "@radix-ui/react-dismissable-layer": "1.0.5",
-        "@radix-ui/react-focus-guards": "1.0.1",
-        "@radix-ui/react-focus-scope": "1.0.4",
-        "@radix-ui/react-id": "1.0.1",
-        "@radix-ui/react-popper": "1.1.3",
-        "@radix-ui/react-portal": "1.0.4",
-        "@radix-ui/react-presence": "1.0.1",
-        "@radix-ui/react-primitive": "1.0.3",
-        "@radix-ui/react-slot": "1.0.2",
-        "@radix-ui/react-use-controllable-state": "1.0.1",
-        "aria-hidden": "^1.1.1",
-        "react-remove-scroll": "2.5.5"
+        "@tanstack/virtual-core": "3.5.0"
       },
-      "peerDependencies": {
-        "@types/react": "*",
-        "@types/react-dom": "*",
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/tannerlinsley"
       },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        },
-        "@types/react-dom": {
-          "optional": true
-        }
+      "peerDependencies": {
+        "react": "^16.8.0 || ^17.0.0 || ^18.0.0",
+        "react-dom": "^16.8.0 || ^17.0.0 || ^18.0.0"
       }
     },
-    "node_modules/@radix-ui/react-popper": {
-      "version": "1.1.3",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-popper/-/react-popper-1.1.3.tgz",
-      "integrity": "sha512-cKpopj/5RHZWjrbF2846jBNacjQVwkP068DfmgrNJXpvVWrOvlAmE9xSiy5OqeE+Gi8D9fP+oDhUnPqNMY8/5w==",
+    "node_modules/@tanstack/virtual-core": {
+      "version": "3.5.0",
+      "resolved": "https://registry.npmjs.org/@tanstack/virtual-core/-/virtual-core-3.5.0.tgz",
+      "integrity": "sha512-KnPRCkQTyqhanNC0K63GBG3wA8I+D1fQuVnAvcBF8f13akOKeQp1gSbu6f77zCxhEk727iV5oQnbHLYzHrECLg==",
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/tannerlinsley"
+      }
+    },
+    "node_modules/@testing-library/dom": {
+      "version": "10.1.0",
+      "resolved": "https://registry.npmjs.org/@testing-library/dom/-/dom-10.1.0.tgz",
+      "integrity": "sha512-wdsYKy5zupPyLCW2Je5DLHSxSfbIp6h80WoHOQc+RPtmPGA52O9x5MJEkv92Sjonpq+poOAtUKhh1kBGAXBrNA==",
+      "dev": true,
+      "peer": true,
       "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@floating-ui/react-dom": "^2.0.0",
-        "@radix-ui/react-arrow": "1.0.3",
-        "@radix-ui/react-compose-refs": "1.0.1",
-        "@radix-ui/react-context": "1.0.1",
-        "@radix-ui/react-primitive": "1.0.3",
-        "@radix-ui/react-use-callback-ref": "1.0.1",
-        "@radix-ui/react-use-layout-effect": "1.0.1",
-        "@radix-ui/react-use-rect": "1.0.1",
-        "@radix-ui/react-use-size": "1.0.1",
-        "@radix-ui/rect": "1.0.1"
-      },
-      "peerDependencies": {
-        "@types/react": "*",
-        "@types/react-dom": "*",
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        },
-        "@types/react-dom": {
-          "optional": true
-        }
+        "@babel/code-frame": "^7.10.4",
+        "@babel/runtime": "^7.12.5",
+        "@types/aria-query": "^5.0.1",
+        "aria-query": "5.3.0",
+        "chalk": "^4.1.0",
+        "dom-accessibility-api": "^0.5.9",
+        "lz-string": "^1.5.0",
+        "pretty-format": "^27.0.2"
+      },
+      "engines": {
+        "node": ">=18"
       }
     },
-    "node_modules/@radix-ui/react-portal": {
-      "version": "1.0.4",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-portal/-/react-portal-1.0.4.tgz",
-      "integrity": "sha512-Qki+C/EuGUVCQTOTD5vzJzJuMUlewbzuKyUy+/iHM2uwGiru9gZeBJtHAPKAEkB5KWGi9mP/CHKcY0wt1aW45Q==",
+    "node_modules/@testing-library/dom/node_modules/ansi-styles": {
+      "version": "4.3.0",
+      "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-4.3.0.tgz",
+      "integrity": "sha512-zbB9rCJAT1rbjiVDb2hqKFHNYLxgtk8NURxZ3IZwD3F6NtxbXZQCnnSi1Lkx+IDohdPlFp222wVALIheZJQSEg==",
+      "dev": true,
+      "peer": true,
       "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/react-primitive": "1.0.3"
+        "color-convert": "^2.0.1"
       },
-      "peerDependencies": {
-        "@types/react": "*",
-        "@types/react-dom": "*",
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
+      "engines": {
+        "node": ">=8"
       },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        },
-        "@types/react-dom": {
-          "optional": true
-        }
+      "funding": {
+        "url": "https://github.com/chalk/ansi-styles?sponsor=1"
       }
     },
-    "node_modules/@radix-ui/react-presence": {
-      "version": "1.0.1",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-presence/-/react-presence-1.0.1.tgz",
-      "integrity": "sha512-UXLW4UAbIY5ZjcvzjfRFo5gxva8QirC9hF7wRE4U5gz+TP0DbRk+//qyuAQ1McDxBt1xNMBTaciFGvEmJvAZCg==",
+    "node_modules/@testing-library/dom/node_modules/chalk": {
+      "version": "4.1.2",
+      "resolved": "https://registry.npmjs.org/chalk/-/chalk-4.1.2.tgz",
+      "integrity": "sha512-oKnbhFyRIXpUuez8iBMmyEa4nbj4IOQyuhc/wy9kY7/WVPcwIO9VA668Pu8RkO7+0G76SLROeyw9CpQ061i4mA==",
+      "dev": true,
+      "peer": true,
       "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/react-compose-refs": "1.0.1",
-        "@radix-ui/react-use-layout-effect": "1.0.1"
+        "ansi-styles": "^4.1.0",
+        "supports-color": "^7.1.0"
       },
-      "peerDependencies": {
-        "@types/react": "*",
-        "@types/react-dom": "*",
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
+      "engines": {
+        "node": ">=10"
       },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        },
-        "@types/react-dom": {
-          "optional": true
-        }
+      "funding": {
+        "url": "https://github.com/chalk/chalk?sponsor=1"
       }
     },
-    "node_modules/@radix-ui/react-primitive": {
-      "version": "1.0.3",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-primitive/-/react-primitive-1.0.3.tgz",
-      "integrity": "sha512-yi58uVyoAcK/Nq1inRY56ZSjKypBNKTa/1mcL8qdl6oJeEaDbOldlzrGn7P6Q3Id5d+SYNGc5AJgc4vGhjs5+g==",
+    "node_modules/@testing-library/dom/node_modules/color-convert": {
+      "version": "2.0.1",
+      "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-2.0.1.tgz",
+      "integrity": "sha512-RRECPsj7iu/xb5oKYcsFHSppFNnsj/52OVTRKb4zP5onXwVF3zVmmToNcOfGC+CRDpfK/U584fMg38ZHCaElKQ==",
+      "dev": true,
+      "peer": true,
       "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/react-slot": "1.0.2"
+        "color-name": "~1.1.4"
       },
-      "peerDependencies": {
-        "@types/react": "*",
-        "@types/react-dom": "*",
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
+      "engines": {
+        "node": ">=7.0.0"
+      }
+    },
+    "node_modules/@testing-library/dom/node_modules/color-name": {
+      "version": "1.1.4",
+      "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz",
+      "integrity": "sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA==",
+      "dev": true,
+      "peer": true
+    },
+    "node_modules/@testing-library/dom/node_modules/has-flag": {
+      "version": "4.0.0",
+      "resolved": "https://registry.npmjs.org/has-flag/-/has-flag-4.0.0.tgz",
+      "integrity": "sha512-EykJT/Q1KjTWctppgIAgfSO0tKVuZUjhgMr17kqTumMl6Afv3EISleU7qZUzoXDFTAHTDC4NOoG/ZxU3EvlMPQ==",
+      "dev": true,
+      "peer": true,
+      "engines": {
+        "node": ">=8"
+      }
+    },
+    "node_modules/@testing-library/dom/node_modules/supports-color": {
+      "version": "7.2.0",
+      "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-7.2.0.tgz",
+      "integrity": "sha512-qpCAvRl9stuOHveKsn7HncJRvv501qIacKzQlO/+Lwxc9+0q2wLyv4Dfvt80/DPn2pqOBsJdDiogXGR9+OvwRw==",
+      "dev": true,
+      "peer": true,
+      "dependencies": {
+        "has-flag": "^4.0.0"
       },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        },
-        "@types/react-dom": {
-          "optional": true
-        }
+      "engines": {
+        "node": ">=8"
       }
     },
-    "node_modules/@radix-ui/react-progress": {
-      "version": "1.0.3",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-progress/-/react-progress-1.0.3.tgz",
-      "integrity": "sha512-5G6Om/tYSxjSeEdrb1VfKkfZfn/1IlPWd731h2RfPuSbIfNUgfqAwbKfJCg/PP6nuUCTrYzalwHSpSinoWoCag==",
+    "node_modules/@testing-library/jest-dom": {
+      "version": "6.4.6",
+      "resolved": "https://registry.npmjs.org/@testing-library/jest-dom/-/jest-dom-6.4.6.tgz",
+      "integrity": "sha512-8qpnGVincVDLEcQXWaHOf6zmlbwTKc6Us6PPu4CRnPXCzo2OGBS5cwgMMOWdxDpEz1mkbvXHpEy99M5Yvt682w==",
+      "dev": true,
       "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/react-context": "1.0.1",
-        "@radix-ui/react-primitive": "1.0.3"
+        "@adobe/css-tools": "^4.4.0",
+        "@babel/runtime": "^7.9.2",
+        "aria-query": "^5.0.0",
+        "chalk": "^3.0.0",
+        "css.escape": "^1.5.1",
+        "dom-accessibility-api": "^0.6.3",
+        "lodash": "^4.17.21",
+        "redent": "^3.0.0"
+      },
+      "engines": {
+        "node": ">=14",
+        "npm": ">=6",
+        "yarn": ">=1"
       },
       "peerDependencies": {
-        "@types/react": "*",
-        "@types/react-dom": "*",
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
+        "@jest/globals": ">= 28",
+        "@types/bun": "latest",
+        "@types/jest": ">= 28",
+        "jest": ">= 28",
+        "vitest": ">= 0.32"
       },
       "peerDependenciesMeta": {
-        "@types/react": {
+        "@jest/globals": {
           "optional": true
         },
-        "@types/react-dom": {
+        "@types/bun": {
+          "optional": true
+        },
+        "@types/jest": {
+          "optional": true
+        },
+        "jest": {
+          "optional": true
+        },
+        "vitest": {
           "optional": true
         }
       }
     },
-    "node_modules/@radix-ui/react-roving-focus": {
-      "version": "1.0.4",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-roving-focus/-/react-roving-focus-1.0.4.tgz",
-      "integrity": "sha512-2mUg5Mgcu001VkGy+FfzZyzbmuUWzgWkj3rvv4yu+mLw03+mTzbxZHvfcGyFp2b8EkQeMkpRQ5FiA2Vr2O6TeQ==",
+    "node_modules/@testing-library/jest-dom/node_modules/ansi-styles": {
+      "version": "4.3.0",
+      "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-4.3.0.tgz",
+      "integrity": "sha512-zbB9rCJAT1rbjiVDb2hqKFHNYLxgtk8NURxZ3IZwD3F6NtxbXZQCnnSi1Lkx+IDohdPlFp222wVALIheZJQSEg==",
+      "dev": true,
       "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/primitive": "1.0.1",
-        "@radix-ui/react-collection": "1.0.3",
-        "@radix-ui/react-compose-refs": "1.0.1",
-        "@radix-ui/react-context": "1.0.1",
-        "@radix-ui/react-direction": "1.0.1",
-        "@radix-ui/react-id": "1.0.1",
-        "@radix-ui/react-primitive": "1.0.3",
-        "@radix-ui/react-use-callback-ref": "1.0.1",
-        "@radix-ui/react-use-controllable-state": "1.0.1"
+        "color-convert": "^2.0.1"
       },
-      "peerDependencies": {
-        "@types/react": "*",
-        "@types/react-dom": "*",
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
+      "engines": {
+        "node": ">=8"
       },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        },
-        "@types/react-dom": {
-          "optional": true
-        }
+      "funding": {
+        "url": "https://github.com/chalk/ansi-styles?sponsor=1"
       }
     },
-    "node_modules/@radix-ui/react-select": {
-      "version": "1.2.2",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-select/-/react-select-1.2.2.tgz",
-      "integrity": "sha512-zI7McXr8fNaSrUY9mZe4x/HC0jTLY9fWNhO1oLWYMQGDXuV4UCivIGTxwioSzO0ZCYX9iSLyWmAh/1TOmX3Cnw==",
+    "node_modules/@testing-library/jest-dom/node_modules/chalk": {
+      "version": "3.0.0",
+      "resolved": "https://registry.npmjs.org/chalk/-/chalk-3.0.0.tgz",
+      "integrity": "sha512-4D3B6Wf41KOYRFdszmDqMCGq5VV/uMAB273JILmO+3jAlh8X4qDtdtgCR3fxtbLEMzSx22QdhnDcJvu2u1fVwg==",
+      "dev": true,
       "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/number": "1.0.1",
-        "@radix-ui/primitive": "1.0.1",
-        "@radix-ui/react-collection": "1.0.3",
-        "@radix-ui/react-compose-refs": "1.0.1",
-        "@radix-ui/react-context": "1.0.1",
-        "@radix-ui/react-direction": "1.0.1",
-        "@radix-ui/react-dismissable-layer": "1.0.4",
-        "@radix-ui/react-focus-guards": "1.0.1",
-        "@radix-ui/react-focus-scope": "1.0.3",
-        "@radix-ui/react-id": "1.0.1",
-        "@radix-ui/react-popper": "1.1.2",
-        "@radix-ui/react-portal": "1.0.3",
-        "@radix-ui/react-primitive": "1.0.3",
-        "@radix-ui/react-slot": "1.0.2",
-        "@radix-ui/react-use-callback-ref": "1.0.1",
-        "@radix-ui/react-use-controllable-state": "1.0.1",
-        "@radix-ui/react-use-layout-effect": "1.0.1",
-        "@radix-ui/react-use-previous": "1.0.1",
-        "@radix-ui/react-visually-hidden": "1.0.3",
-        "aria-hidden": "^1.1.1",
-        "react-remove-scroll": "2.5.5"
-      },
-      "peerDependencies": {
-        "@types/react": "*",
-        "@types/react-dom": "*",
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
+        "ansi-styles": "^4.1.0",
+        "supports-color": "^7.1.0"
       },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        },
-        "@types/react-dom": {
-          "optional": true
-        }
+      "engines": {
+        "node": ">=8"
       }
     },
-    "node_modules/@radix-ui/react-select/node_modules/@radix-ui/react-dismissable-layer": {
-      "version": "1.0.4",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-dismissable-layer/-/react-dismissable-layer-1.0.4.tgz",
-      "integrity": "sha512-7UpBa/RKMoHJYjie1gkF1DlK8l1fdU/VKDpoS3rCCo8YBJR294GwcEHyxHw72yvphJ7ld0AXEcSLAzY2F/WyCg==",
+    "node_modules/@testing-library/jest-dom/node_modules/color-convert": {
+      "version": "2.0.1",
+      "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-2.0.1.tgz",
+      "integrity": "sha512-RRECPsj7iu/xb5oKYcsFHSppFNnsj/52OVTRKb4zP5onXwVF3zVmmToNcOfGC+CRDpfK/U584fMg38ZHCaElKQ==",
+      "dev": true,
       "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/primitive": "1.0.1",
-        "@radix-ui/react-compose-refs": "1.0.1",
-        "@radix-ui/react-primitive": "1.0.3",
-        "@radix-ui/react-use-callback-ref": "1.0.1",
-        "@radix-ui/react-use-escape-keydown": "1.0.3"
+        "color-name": "~1.1.4"
       },
-      "peerDependencies": {
-        "@types/react": "*",
-        "@types/react-dom": "*",
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
+      "engines": {
+        "node": ">=7.0.0"
+      }
+    },
+    "node_modules/@testing-library/jest-dom/node_modules/color-name": {
+      "version": "1.1.4",
+      "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz",
+      "integrity": "sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA==",
+      "dev": true
+    },
+    "node_modules/@testing-library/jest-dom/node_modules/dom-accessibility-api": {
+      "version": "0.6.3",
+      "resolved": "https://registry.npmjs.org/dom-accessibility-api/-/dom-accessibility-api-0.6.3.tgz",
+      "integrity": "sha512-7ZgogeTnjuHbo+ct10G9Ffp0mif17idi0IyWNVA/wcwcm7NPOD/WEHVP3n7n3MhXqxoIYm8d6MuZohYWIZ4T3w==",
+      "dev": true
+    },
+    "node_modules/@testing-library/jest-dom/node_modules/has-flag": {
+      "version": "4.0.0",
+      "resolved": "https://registry.npmjs.org/has-flag/-/has-flag-4.0.0.tgz",
+      "integrity": "sha512-EykJT/Q1KjTWctppgIAgfSO0tKVuZUjhgMr17kqTumMl6Afv3EISleU7qZUzoXDFTAHTDC4NOoG/ZxU3EvlMPQ==",
+      "dev": true,
+      "engines": {
+        "node": ">=8"
+      }
+    },
+    "node_modules/@testing-library/jest-dom/node_modules/supports-color": {
+      "version": "7.2.0",
+      "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-7.2.0.tgz",
+      "integrity": "sha512-qpCAvRl9stuOHveKsn7HncJRvv501qIacKzQlO/+Lwxc9+0q2wLyv4Dfvt80/DPn2pqOBsJdDiogXGR9+OvwRw==",
+      "dev": true,
+      "dependencies": {
+        "has-flag": "^4.0.0"
       },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        },
-        "@types/react-dom": {
-          "optional": true
-        }
+      "engines": {
+        "node": ">=8"
       }
     },
-    "node_modules/@radix-ui/react-select/node_modules/@radix-ui/react-focus-scope": {
-      "version": "1.0.3",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-focus-scope/-/react-focus-scope-1.0.3.tgz",
-      "integrity": "sha512-upXdPfqI4islj2CslyfUBNlaJCPybbqRHAi1KER7Isel9Q2AtSJ0zRBZv8mWQiFXD2nyAJ4BhC3yXgZ6kMBSrQ==",
+    "node_modules/@testing-library/react": {
+      "version": "16.0.0",
+      "resolved": "https://registry.npmjs.org/@testing-library/react/-/react-16.0.0.tgz",
+      "integrity": "sha512-guuxUKRWQ+FgNX0h0NS0FIq3Q3uLtWVpBzcLOggmfMoUpgBnzBzvLLd4fbm6yS8ydJd94cIfY4yP9qUQjM2KwQ==",
+      "dev": true,
       "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/react-compose-refs": "1.0.1",
-        "@radix-ui/react-primitive": "1.0.3",
-        "@radix-ui/react-use-callback-ref": "1.0.1"
+        "@babel/runtime": "^7.12.5"
+      },
+      "engines": {
+        "node": ">=18"
       },
       "peerDependencies": {
-        "@types/react": "*",
-        "@types/react-dom": "*",
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
+        "@testing-library/dom": "^10.0.0",
+        "@types/react": "^18.0.0",
+        "@types/react-dom": "^18.0.0",
+        "react": "^18.0.0",
+        "react-dom": "^18.0.0"
       },
       "peerDependenciesMeta": {
         "@types/react": {
@@ -2318,2050 +4526,2134 @@
         }
       }
     },
-    "node_modules/@radix-ui/react-select/node_modules/@radix-ui/react-popper": {
-      "version": "1.1.2",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-popper/-/react-popper-1.1.2.tgz",
-      "integrity": "sha512-1CnGGfFi/bbqtJZZ0P/NQY20xdG3E0LALJaLUEoKwPLwl6PPPfbeiCqMVQnhoFRAxjJj4RpBRJzDmUgsex2tSg==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@floating-ui/react-dom": "^2.0.0",
-        "@radix-ui/react-arrow": "1.0.3",
-        "@radix-ui/react-compose-refs": "1.0.1",
-        "@radix-ui/react-context": "1.0.1",
-        "@radix-ui/react-primitive": "1.0.3",
-        "@radix-ui/react-use-callback-ref": "1.0.1",
-        "@radix-ui/react-use-layout-effect": "1.0.1",
-        "@radix-ui/react-use-rect": "1.0.1",
-        "@radix-ui/react-use-size": "1.0.1",
-        "@radix-ui/rect": "1.0.1"
+    "node_modules/@testing-library/user-event": {
+      "version": "14.5.2",
+      "resolved": "https://registry.npmjs.org/@testing-library/user-event/-/user-event-14.5.2.tgz",
+      "integrity": "sha512-YAh82Wh4TIrxYLmfGcixwD18oIjyC1pFQC2Y01F2lzV2HTMiYrI0nze0FD0ocB//CKS/7jIUgae+adPqxK5yCQ==",
+      "dev": true,
+      "engines": {
+        "node": ">=12",
+        "npm": ">=6"
       },
       "peerDependencies": {
-        "@types/react": "*",
-        "@types/react-dom": "*",
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        },
-        "@types/react-dom": {
-          "optional": true
-        }
+        "@testing-library/dom": ">=7.21.4"
       }
     },
-    "node_modules/@radix-ui/react-select/node_modules/@radix-ui/react-portal": {
-      "version": "1.0.3",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-portal/-/react-portal-1.0.3.tgz",
-      "integrity": "sha512-xLYZeHrWoPmA5mEKEfZZevoVRK/Q43GfzRXkWV6qawIWWK8t6ifIiLQdd7rmQ4Vk1bmI21XhqF9BN3jWf+phpA==",
+    "node_modules/@tokenizer/token": {
+      "version": "0.3.0",
+      "resolved": "https://registry.npmjs.org/@tokenizer/token/-/token-0.3.0.tgz",
+      "integrity": "sha512-OvjF+z51L3ov0OyAU0duzsYuvO01PH7x4t6DJx+guahgTnBHkhJdG7soQeTSFLWN3efnHyibZ4Z8l2EuWwJN3A==",
+      "dev": true
+    },
+    "node_modules/@tootallnate/once": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/@tootallnate/once/-/once-2.0.0.tgz",
+      "integrity": "sha512-XCuKFP5PS55gnMVu3dty8KPatLqUoy/ZYzDzAGCQ8JNFCkLXzmI7vNHCR+XpbZaMWQK/vQubr7PkYq8g470J/A==",
+      "engines": {
+        "node": ">= 10"
+      }
+    },
+    "node_modules/@ts-morph/common": {
+      "version": "0.19.0",
+      "resolved": "https://registry.npmjs.org/@ts-morph/common/-/common-0.19.0.tgz",
+      "integrity": "sha512-Unz/WHmd4pGax91rdIKWi51wnVUW11QttMEPpBiBgIewnc9UQIX7UDLxr5vRlqeByXCwhkF6VabSsI0raWcyAQ==",
       "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/react-primitive": "1.0.3"
-      },
-      "peerDependencies": {
-        "@types/react": "*",
-        "@types/react-dom": "*",
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        },
-        "@types/react-dom": {
-          "optional": true
-        }
+        "fast-glob": "^3.2.12",
+        "minimatch": "^7.4.3",
+        "mkdirp": "^2.1.6",
+        "path-browserify": "^1.0.1"
       }
     },
-    "node_modules/@radix-ui/react-separator": {
-      "version": "1.0.3",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-separator/-/react-separator-1.0.3.tgz",
-      "integrity": "sha512-itYmTy/kokS21aiV5+Z56MZB54KrhPgn6eHDKkFeOLR34HMN2s8PaN47qZZAGnvupcjxHaFZnW4pQEh0BvvVuw==",
+    "node_modules/@ts-morph/common/node_modules/minimatch": {
+      "version": "7.4.6",
+      "resolved": "https://registry.npmjs.org/minimatch/-/minimatch-7.4.6.tgz",
+      "integrity": "sha512-sBz8G/YjVniEz6lKPNpKxXwazJe4c19fEfV2GDMX6AjFz+MX9uDWIZW8XreVhkFW3fkIdTv/gxWr/Kks5FFAVw==",
       "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/react-primitive": "1.0.3"
+        "brace-expansion": "^2.0.1"
       },
-      "peerDependencies": {
-        "@types/react": "*",
-        "@types/react-dom": "*",
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
+      "engines": {
+        "node": ">=10"
       },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        },
-        "@types/react-dom": {
-          "optional": true
-        }
+      "funding": {
+        "url": "https://github.com/sponsors/isaacs"
       }
     },
-    "node_modules/@radix-ui/react-slot": {
-      "version": "1.0.2",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-slot/-/react-slot-1.0.2.tgz",
-      "integrity": "sha512-YeTpuq4deV+6DusvVUW4ivBgnkHwECUu0BiN43L5UCDFgdhsRUWAghhTF5MbvNTPzmiFOx90asDSUjWuCNapwg==",
-      "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/react-compose-refs": "1.0.1"
+    "node_modules/@ts-morph/common/node_modules/mkdirp": {
+      "version": "2.1.6",
+      "resolved": "https://registry.npmjs.org/mkdirp/-/mkdirp-2.1.6.tgz",
+      "integrity": "sha512-+hEnITedc8LAtIP9u3HJDFIdcLV2vXP33sqLLIzkv1Db1zO/1OxbvYf0Y1OC/S/Qo5dxHXepofhmxL02PsKe+A==",
+      "bin": {
+        "mkdirp": "dist/cjs/src/bin.js"
       },
-      "peerDependencies": {
-        "@types/react": "*",
-        "react": "^16.8 || ^17.0 || ^18.0"
+      "engines": {
+        "node": ">=10"
       },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        }
+      "funding": {
+        "url": "https://github.com/sponsors/isaacs"
+      }
+    },
+    "node_modules/@types/aria-query": {
+      "version": "5.0.4",
+      "resolved": "https://registry.npmjs.org/@types/aria-query/-/aria-query-5.0.4.tgz",
+      "integrity": "sha512-rfT93uj5s0PRL7EzccGMs3brplhcrghnDoV26NqKhCAS1hVo+WdNsPvE/yb6ilfr5hi2MEk6d5EWJTKdxg8jVw==",
+      "dev": true,
+      "peer": true
+    },
+    "node_modules/@types/axios": {
+      "version": "0.14.0",
+      "resolved": "https://registry.npmjs.org/@types/axios/-/axios-0.14.0.tgz",
+      "integrity": "sha512-KqQnQbdYE54D7oa/UmYVMZKq7CO4l8DEENzOKc4aBRwxCXSlJXGz83flFx5L7AWrOQnmuN3kVsRdt+GZPPjiVQ==",
+      "deprecated": "This is a stub types definition for axios (https://github.com/mzabriskie/axios). axios provides its own type definitions, so you don't need @types/axios installed!",
+      "dependencies": {
+        "axios": "*"
+      }
+    },
+    "node_modules/@types/cacheable-request": {
+      "version": "6.0.3",
+      "resolved": "https://registry.npmjs.org/@types/cacheable-request/-/cacheable-request-6.0.3.tgz",
+      "integrity": "sha512-IQ3EbTzGxIigb1I3qPZc1rWJnH0BmSKv5QYTalEwweFvyBDLSAe24zP0le/hyi7ecGfZVlIVAg4BZqb8WBwKqw==",
+      "dev": true,
+      "dependencies": {
+        "@types/http-cache-semantics": "*",
+        "@types/keyv": "^3.1.4",
+        "@types/node": "*",
+        "@types/responselike": "^1.0.0"
+      }
+    },
+    "node_modules/@types/cookie": {
+      "version": "0.6.0",
+      "resolved": "https://registry.npmjs.org/@types/cookie/-/cookie-0.6.0.tgz",
+      "integrity": "sha512-4Kh9a6B2bQciAhf7FSuMRRkUWecJgJu9nPnx3yzpsfXX/c50REIqpHY4C82bXP90qrLtXtkDxTZosYO3UpOwlA=="
+    },
+    "node_modules/@types/d3": {
+      "version": "7.4.3",
+      "resolved": "https://registry.npmjs.org/@types/d3/-/d3-7.4.3.tgz",
+      "integrity": "sha512-lZXZ9ckh5R8uiFVt8ogUNf+pIrK4EsWrx2Np75WvF/eTpJ0FMHNhjXk8CKEx/+gpHbNQyJWehbFaTvqmHWB3ww==",
+      "dependencies": {
+        "@types/d3-array": "*",
+        "@types/d3-axis": "*",
+        "@types/d3-brush": "*",
+        "@types/d3-chord": "*",
+        "@types/d3-color": "*",
+        "@types/d3-contour": "*",
+        "@types/d3-delaunay": "*",
+        "@types/d3-dispatch": "*",
+        "@types/d3-drag": "*",
+        "@types/d3-dsv": "*",
+        "@types/d3-ease": "*",
+        "@types/d3-fetch": "*",
+        "@types/d3-force": "*",
+        "@types/d3-format": "*",
+        "@types/d3-geo": "*",
+        "@types/d3-hierarchy": "*",
+        "@types/d3-interpolate": "*",
+        "@types/d3-path": "*",
+        "@types/d3-polygon": "*",
+        "@types/d3-quadtree": "*",
+        "@types/d3-random": "*",
+        "@types/d3-scale": "*",
+        "@types/d3-scale-chromatic": "*",
+        "@types/d3-selection": "*",
+        "@types/d3-shape": "*",
+        "@types/d3-time": "*",
+        "@types/d3-time-format": "*",
+        "@types/d3-timer": "*",
+        "@types/d3-transition": "*",
+        "@types/d3-zoom": "*"
+      }
+    },
+    "node_modules/@types/d3-array": {
+      "version": "3.2.1",
+      "resolved": "https://registry.npmjs.org/@types/d3-array/-/d3-array-3.2.1.tgz",
+      "integrity": "sha512-Y2Jn2idRrLzUfAKV2LyRImR+y4oa2AntrgID95SHJxuMUrkNXmanDSed71sRNZysveJVt1hLLemQZIady0FpEg=="
+    },
+    "node_modules/@types/d3-axis": {
+      "version": "3.0.6",
+      "resolved": "https://registry.npmjs.org/@types/d3-axis/-/d3-axis-3.0.6.tgz",
+      "integrity": "sha512-pYeijfZuBd87T0hGn0FO1vQ/cgLk6E1ALJjfkC0oJ8cbwkZl3TpgS8bVBLZN+2jjGgg38epgxb2zmoGtSfvgMw==",
+      "dependencies": {
+        "@types/d3-selection": "*"
+      }
+    },
+    "node_modules/@types/d3-brush": {
+      "version": "3.0.6",
+      "resolved": "https://registry.npmjs.org/@types/d3-brush/-/d3-brush-3.0.6.tgz",
+      "integrity": "sha512-nH60IZNNxEcrh6L1ZSMNA28rj27ut/2ZmI3r96Zd+1jrZD++zD3LsMIjWlvg4AYrHn/Pqz4CF3veCxGjtbqt7A==",
+      "dependencies": {
+        "@types/d3-selection": "*"
+      }
+    },
+    "node_modules/@types/d3-chord": {
+      "version": "3.0.6",
+      "resolved": "https://registry.npmjs.org/@types/d3-chord/-/d3-chord-3.0.6.tgz",
+      "integrity": "sha512-LFYWWd8nwfwEmTZG9PfQxd17HbNPksHBiJHaKuY1XeqscXacsS2tyoo6OdRsjf+NQYeB6XrNL3a25E3gH69lcg=="
+    },
+    "node_modules/@types/d3-color": {
+      "version": "3.1.3",
+      "resolved": "https://registry.npmjs.org/@types/d3-color/-/d3-color-3.1.3.tgz",
+      "integrity": "sha512-iO90scth9WAbmgv7ogoq57O9YpKmFBbmoEoCHDB2xMBY0+/KVrqAaCDyCE16dUspeOvIxFFRI+0sEtqDqy2b4A=="
+    },
+    "node_modules/@types/d3-contour": {
+      "version": "3.0.6",
+      "resolved": "https://registry.npmjs.org/@types/d3-contour/-/d3-contour-3.0.6.tgz",
+      "integrity": "sha512-BjzLgXGnCWjUSYGfH1cpdo41/hgdWETu4YxpezoztawmqsvCeep+8QGfiY6YbDvfgHz/DkjeIkkZVJavB4a3rg==",
+      "dependencies": {
+        "@types/d3-array": "*",
+        "@types/geojson": "*"
+      }
+    },
+    "node_modules/@types/d3-delaunay": {
+      "version": "6.0.4",
+      "resolved": "https://registry.npmjs.org/@types/d3-delaunay/-/d3-delaunay-6.0.4.tgz",
+      "integrity": "sha512-ZMaSKu4THYCU6sV64Lhg6qjf1orxBthaC161plr5KuPHo3CNm8DTHiLw/5Eq2b6TsNP0W0iJrUOFscY6Q450Hw=="
+    },
+    "node_modules/@types/d3-dispatch": {
+      "version": "3.0.6",
+      "resolved": "https://registry.npmjs.org/@types/d3-dispatch/-/d3-dispatch-3.0.6.tgz",
+      "integrity": "sha512-4fvZhzMeeuBJYZXRXrRIQnvUYfyXwYmLsdiN7XXmVNQKKw1cM8a5WdID0g1hVFZDqT9ZqZEY5pD44p24VS7iZQ=="
+    },
+    "node_modules/@types/d3-drag": {
+      "version": "3.0.7",
+      "resolved": "https://registry.npmjs.org/@types/d3-drag/-/d3-drag-3.0.7.tgz",
+      "integrity": "sha512-HE3jVKlzU9AaMazNufooRJ5ZpWmLIoc90A37WU2JMmeq28w1FQqCZswHZ3xR+SuxYftzHq6WU6KJHvqxKzTxxQ==",
+      "dependencies": {
+        "@types/d3-selection": "*"
       }
     },
-    "node_modules/@radix-ui/react-switch": {
-      "version": "1.0.3",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-switch/-/react-switch-1.0.3.tgz",
-      "integrity": "sha512-mxm87F88HyHztsI7N+ZUmEoARGkC22YVW5CaC+Byc+HRpuvCrOBPTAnXgf+tZ/7i0Sg/eOePGdMhUKhPaQEqow==",
+    "node_modules/@types/d3-dsv": {
+      "version": "3.0.7",
+      "resolved": "https://registry.npmjs.org/@types/d3-dsv/-/d3-dsv-3.0.7.tgz",
+      "integrity": "sha512-n6QBF9/+XASqcKK6waudgL0pf/S5XHPPI8APyMLLUHd8NqouBGLsU8MgtO7NINGtPBtk9Kko/W4ea0oAspwh9g=="
+    },
+    "node_modules/@types/d3-ease": {
+      "version": "3.0.2",
+      "resolved": "https://registry.npmjs.org/@types/d3-ease/-/d3-ease-3.0.2.tgz",
+      "integrity": "sha512-NcV1JjO5oDzoK26oMzbILE6HW7uVXOHLQvHshBUW4UMdZGfiY6v5BeQwh9a9tCzv+CeefZQHJt5SRgK154RtiA=="
+    },
+    "node_modules/@types/d3-fetch": {
+      "version": "3.0.7",
+      "resolved": "https://registry.npmjs.org/@types/d3-fetch/-/d3-fetch-3.0.7.tgz",
+      "integrity": "sha512-fTAfNmxSb9SOWNB9IoG5c8Hg6R+AzUHDRlsXsDZsNp6sxAEOP0tkP3gKkNSO/qmHPoBFTxNrjDprVHDQDvo5aA==",
       "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/primitive": "1.0.1",
-        "@radix-ui/react-compose-refs": "1.0.1",
-        "@radix-ui/react-context": "1.0.1",
-        "@radix-ui/react-primitive": "1.0.3",
-        "@radix-ui/react-use-controllable-state": "1.0.1",
-        "@radix-ui/react-use-previous": "1.0.1",
-        "@radix-ui/react-use-size": "1.0.1"
-      },
-      "peerDependencies": {
-        "@types/react": "*",
-        "@types/react-dom": "*",
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        },
-        "@types/react-dom": {
-          "optional": true
-        }
+        "@types/d3-dsv": "*"
       }
     },
-    "node_modules/@radix-ui/react-tabs": {
-      "version": "1.0.4",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-tabs/-/react-tabs-1.0.4.tgz",
-      "integrity": "sha512-egZfYY/+wRNCflXNHx+dePvnz9FbmssDTJBtgRfDY7e8SE5oIo3Py2eCB1ckAbh1Q7cQ/6yJZThJ++sgbxibog==",
+    "node_modules/@types/d3-force": {
+      "version": "3.0.10",
+      "resolved": "https://registry.npmjs.org/@types/d3-force/-/d3-force-3.0.10.tgz",
+      "integrity": "sha512-ZYeSaCF3p73RdOKcjj+swRlZfnYpK1EbaDiYICEEp5Q6sUiqFaFQ9qgoshp5CzIyyb/yD09kD9o2zEltCexlgw=="
+    },
+    "node_modules/@types/d3-format": {
+      "version": "3.0.4",
+      "resolved": "https://registry.npmjs.org/@types/d3-format/-/d3-format-3.0.4.tgz",
+      "integrity": "sha512-fALi2aI6shfg7vM5KiR1wNJnZ7r6UuggVqtDA+xiEdPZQwy/trcQaHnwShLuLdta2rTymCNpxYTiMZX/e09F4g=="
+    },
+    "node_modules/@types/d3-geo": {
+      "version": "3.1.0",
+      "resolved": "https://registry.npmjs.org/@types/d3-geo/-/d3-geo-3.1.0.tgz",
+      "integrity": "sha512-856sckF0oP/diXtS4jNsiQw/UuK5fQG8l/a9VVLeSouf1/PPbBE1i1W852zVwKwYCBkFJJB7nCFTbk6UMEXBOQ==",
       "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/primitive": "1.0.1",
-        "@radix-ui/react-context": "1.0.1",
-        "@radix-ui/react-direction": "1.0.1",
-        "@radix-ui/react-id": "1.0.1",
-        "@radix-ui/react-presence": "1.0.1",
-        "@radix-ui/react-primitive": "1.0.3",
-        "@radix-ui/react-roving-focus": "1.0.4",
-        "@radix-ui/react-use-controllable-state": "1.0.1"
-      },
-      "peerDependencies": {
-        "@types/react": "*",
-        "@types/react-dom": "*",
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        },
-        "@types/react-dom": {
-          "optional": true
-        }
+        "@types/geojson": "*"
       }
     },
-    "node_modules/@radix-ui/react-tooltip": {
-      "version": "1.0.7",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-tooltip/-/react-tooltip-1.0.7.tgz",
-      "integrity": "sha512-lPh5iKNFVQ/jav/j6ZrWq3blfDJ0OH9R6FlNUHPMqdLuQ9vwDgFsRxvl8b7Asuy5c8xmoojHUxKHQSOAvMHxyw==",
+    "node_modules/@types/d3-hierarchy": {
+      "version": "3.1.7",
+      "resolved": "https://registry.npmjs.org/@types/d3-hierarchy/-/d3-hierarchy-3.1.7.tgz",
+      "integrity": "sha512-tJFtNoYBtRtkNysX1Xq4sxtjK8YgoWUNpIiUee0/jHGRwqvzYxkq0hGVbbOGSz+JgFxxRu4K8nb3YpG3CMARtg=="
+    },
+    "node_modules/@types/d3-interpolate": {
+      "version": "3.0.4",
+      "resolved": "https://registry.npmjs.org/@types/d3-interpolate/-/d3-interpolate-3.0.4.tgz",
+      "integrity": "sha512-mgLPETlrpVV1YRJIglr4Ez47g7Yxjl1lj7YKsiMCb27VJH9W8NVM6Bb9d8kkpG/uAQS5AmbA48q2IAolKKo1MA==",
       "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/primitive": "1.0.1",
-        "@radix-ui/react-compose-refs": "1.0.1",
-        "@radix-ui/react-context": "1.0.1",
-        "@radix-ui/react-dismissable-layer": "1.0.5",
-        "@radix-ui/react-id": "1.0.1",
-        "@radix-ui/react-popper": "1.1.3",
-        "@radix-ui/react-portal": "1.0.4",
-        "@radix-ui/react-presence": "1.0.1",
-        "@radix-ui/react-primitive": "1.0.3",
-        "@radix-ui/react-slot": "1.0.2",
-        "@radix-ui/react-use-controllable-state": "1.0.1",
-        "@radix-ui/react-visually-hidden": "1.0.3"
-      },
-      "peerDependencies": {
-        "@types/react": "*",
-        "@types/react-dom": "*",
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        },
-        "@types/react-dom": {
-          "optional": true
-        }
+        "@types/d3-color": "*"
       }
     },
-    "node_modules/@radix-ui/react-use-callback-ref": {
-      "version": "1.0.1",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-use-callback-ref/-/react-use-callback-ref-1.0.1.tgz",
-      "integrity": "sha512-D94LjX4Sp0xJFVaoQOd3OO9k7tpBYNOXdVhkltUbGv2Qb9OXdrg/CpsjlZv7ia14Sylv398LswWBVVu5nqKzAQ==",
+    "node_modules/@types/d3-path": {
+      "version": "3.1.0",
+      "resolved": "https://registry.npmjs.org/@types/d3-path/-/d3-path-3.1.0.tgz",
+      "integrity": "sha512-P2dlU/q51fkOc/Gfl3Ul9kicV7l+ra934qBFXCFhrZMOL6du1TM0pm1ThYvENukyOn5h9v+yMJ9Fn5JK4QozrQ=="
+    },
+    "node_modules/@types/d3-polygon": {
+      "version": "3.0.2",
+      "resolved": "https://registry.npmjs.org/@types/d3-polygon/-/d3-polygon-3.0.2.tgz",
+      "integrity": "sha512-ZuWOtMaHCkN9xoeEMr1ubW2nGWsp4nIql+OPQRstu4ypeZ+zk3YKqQT0CXVe/PYqrKpZAi+J9mTs05TKwjXSRA=="
+    },
+    "node_modules/@types/d3-quadtree": {
+      "version": "3.0.6",
+      "resolved": "https://registry.npmjs.org/@types/d3-quadtree/-/d3-quadtree-3.0.6.tgz",
+      "integrity": "sha512-oUzyO1/Zm6rsxKRHA1vH0NEDG58HrT5icx/azi9MF1TWdtttWl0UIUsjEQBBh+SIkrpd21ZjEv7ptxWys1ncsg=="
+    },
+    "node_modules/@types/d3-random": {
+      "version": "3.0.3",
+      "resolved": "https://registry.npmjs.org/@types/d3-random/-/d3-random-3.0.3.tgz",
+      "integrity": "sha512-Imagg1vJ3y76Y2ea0871wpabqp613+8/r0mCLEBfdtqC7xMSfj9idOnmBYyMoULfHePJyxMAw3nWhJxzc+LFwQ=="
+    },
+    "node_modules/@types/d3-scale": {
+      "version": "4.0.8",
+      "resolved": "https://registry.npmjs.org/@types/d3-scale/-/d3-scale-4.0.8.tgz",
+      "integrity": "sha512-gkK1VVTr5iNiYJ7vWDI+yUFFlszhNMtVeneJ6lUTKPjprsvLLI9/tgEGiXJOnlINJA8FyA88gfnQsHbybVZrYQ==",
       "dependencies": {
-        "@babel/runtime": "^7.13.10"
-      },
-      "peerDependencies": {
-        "@types/react": "*",
-        "react": "^16.8 || ^17.0 || ^18.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        }
+        "@types/d3-time": "*"
       }
     },
-    "node_modules/@radix-ui/react-use-controllable-state": {
-      "version": "1.0.1",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-use-controllable-state/-/react-use-controllable-state-1.0.1.tgz",
-      "integrity": "sha512-Svl5GY5FQeN758fWKrjM6Qb7asvXeiZltlT4U2gVfl8Gx5UAv2sMR0LWo8yhsIZh2oQ0eFdZ59aoOOMV7b47VA==",
+    "node_modules/@types/d3-scale-chromatic": {
+      "version": "3.0.3",
+      "resolved": "https://registry.npmjs.org/@types/d3-scale-chromatic/-/d3-scale-chromatic-3.0.3.tgz",
+      "integrity": "sha512-laXM4+1o5ImZv3RpFAsTRn3TEkzqkytiOY0Dz0sq5cnd1dtNlk6sHLon4OvqaiJb28T0S/TdsBI3Sjsy+keJrw=="
+    },
+    "node_modules/@types/d3-selection": {
+      "version": "3.0.10",
+      "resolved": "https://registry.npmjs.org/@types/d3-selection/-/d3-selection-3.0.10.tgz",
+      "integrity": "sha512-cuHoUgS/V3hLdjJOLTT691+G2QoqAjCVLmr4kJXR4ha56w1Zdu8UUQ5TxLRqudgNjwXeQxKMq4j+lyf9sWuslg=="
+    },
+    "node_modules/@types/d3-shape": {
+      "version": "3.1.6",
+      "resolved": "https://registry.npmjs.org/@types/d3-shape/-/d3-shape-3.1.6.tgz",
+      "integrity": "sha512-5KKk5aKGu2I+O6SONMYSNflgiP0WfZIQvVUMan50wHsLG1G94JlxEVnCpQARfTtzytuY0p/9PXXZb3I7giofIA==",
       "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/react-use-callback-ref": "1.0.1"
-      },
-      "peerDependencies": {
-        "@types/react": "*",
-        "react": "^16.8 || ^17.0 || ^18.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        }
+        "@types/d3-path": "*"
       }
     },
-    "node_modules/@radix-ui/react-use-escape-keydown": {
-      "version": "1.0.3",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-use-escape-keydown/-/react-use-escape-keydown-1.0.3.tgz",
-      "integrity": "sha512-vyL82j40hcFicA+M4Ex7hVkB9vHgSse1ZWomAqV2Je3RleKGO5iM8KMOEtfoSB0PnIelMd2lATjTGMYqN5ylTg==",
+    "node_modules/@types/d3-time": {
+      "version": "3.0.3",
+      "resolved": "https://registry.npmjs.org/@types/d3-time/-/d3-time-3.0.3.tgz",
+      "integrity": "sha512-2p6olUZ4w3s+07q3Tm2dbiMZy5pCDfYwtLXXHUnVzXgQlZ/OyPtUz6OL382BkOuGlLXqfT+wqv8Fw2v8/0geBw=="
+    },
+    "node_modules/@types/d3-time-format": {
+      "version": "4.0.3",
+      "resolved": "https://registry.npmjs.org/@types/d3-time-format/-/d3-time-format-4.0.3.tgz",
+      "integrity": "sha512-5xg9rC+wWL8kdDj153qZcsJ0FWiFt0J5RB6LYUNZjwSnesfblqrI/bJ1wBdJ8OQfncgbJG5+2F+qfqnqyzYxyg=="
+    },
+    "node_modules/@types/d3-timer": {
+      "version": "3.0.2",
+      "resolved": "https://registry.npmjs.org/@types/d3-timer/-/d3-timer-3.0.2.tgz",
+      "integrity": "sha512-Ps3T8E8dZDam6fUyNiMkekK3XUsaUEik+idO9/YjPtfj2qruF8tFBXS7XhtE4iIXBLxhmLjP3SXpLhVf21I9Lw=="
+    },
+    "node_modules/@types/d3-transition": {
+      "version": "3.0.8",
+      "resolved": "https://registry.npmjs.org/@types/d3-transition/-/d3-transition-3.0.8.tgz",
+      "integrity": "sha512-ew63aJfQ/ms7QQ4X7pk5NxQ9fZH/z+i24ZfJ6tJSfqxJMrYLiK01EAs2/Rtw/JreGUsS3pLPNV644qXFGnoZNQ==",
       "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/react-use-callback-ref": "1.0.1"
-      },
-      "peerDependencies": {
-        "@types/react": "*",
-        "react": "^16.8 || ^17.0 || ^18.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        }
+        "@types/d3-selection": "*"
       }
     },
-    "node_modules/@radix-ui/react-use-layout-effect": {
-      "version": "1.0.1",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-use-layout-effect/-/react-use-layout-effect-1.0.1.tgz",
-      "integrity": "sha512-v/5RegiJWYdoCvMnITBkNNx6bCj20fiaJnWtRkU18yITptraXjffz5Qbn05uOiQnOvi+dbkznkoaMltz1GnszQ==",
+    "node_modules/@types/d3-zoom": {
+      "version": "3.0.8",
+      "resolved": "https://registry.npmjs.org/@types/d3-zoom/-/d3-zoom-3.0.8.tgz",
+      "integrity": "sha512-iqMC4/YlFCSlO8+2Ii1GGGliCAY4XdeG748w5vQUbevlbDu0zSjH/+jojorQVBK/se0j6DUFNPBGSqD3YWYnDw==",
       "dependencies": {
-        "@babel/runtime": "^7.13.10"
-      },
-      "peerDependencies": {
-        "@types/react": "*",
-        "react": "^16.8 || ^17.0 || ^18.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        }
+        "@types/d3-interpolate": "*",
+        "@types/d3-selection": "*"
       }
     },
-    "node_modules/@radix-ui/react-use-previous": {
-      "version": "1.0.1",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-use-previous/-/react-use-previous-1.0.1.tgz",
-      "integrity": "sha512-cV5La9DPwiQ7S0gf/0qiD6YgNqM5Fk97Kdrlc5yBcrF3jyEZQwm7vYFqMo4IfeHgJXsRaMvLABFtd0OVEmZhDw==",
+    "node_modules/@types/debug": {
+      "version": "4.1.12",
+      "resolved": "https://registry.npmjs.org/@types/debug/-/debug-4.1.12.tgz",
+      "integrity": "sha512-vIChWdVG3LG1SMxEvI/AK+FWJthlrqlTu7fbrlywTkkaONwk/UAGaULXRlf8vkzFBLVm0zkMdCquhL5aOjhXPQ==",
       "dependencies": {
-        "@babel/runtime": "^7.13.10"
-      },
-      "peerDependencies": {
-        "@types/react": "*",
-        "react": "^16.8 || ^17.0 || ^18.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        }
+        "@types/ms": "*"
       }
     },
-    "node_modules/@radix-ui/react-use-rect": {
-      "version": "1.0.1",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-use-rect/-/react-use-rect-1.0.1.tgz",
-      "integrity": "sha512-Cq5DLuSiuYVKNU8orzJMbl15TXilTnJKUCltMVQg53BQOF1/C5toAaGrowkgksdBQ9H+SRL23g0HDmg9tvmxXw==",
+    "node_modules/@types/estree": {
+      "version": "1.0.5",
+      "resolved": "https://registry.npmjs.org/@types/estree/-/estree-1.0.5.tgz",
+      "integrity": "sha512-/kYRxGDLWzHOB7q+wtSUQlFrtcdUccpfy+X+9iMBpHK8QLLhx2wIPYuS5DYtR9Wa/YlZAbIovy7qVdB1Aq6Lyw=="
+    },
+    "node_modules/@types/geojson": {
+      "version": "7946.0.14",
+      "resolved": "https://registry.npmjs.org/@types/geojson/-/geojson-7946.0.14.tgz",
+      "integrity": "sha512-WCfD5Ht3ZesJUsONdhvm84dmzWOiOzOAqOncN0++w0lBw1o8OuDNJF2McvvCef/yBqb/HYRahp1BYtODFQ8bRg=="
+    },
+    "node_modules/@types/hast": {
+      "version": "2.3.10",
+      "resolved": "https://registry.npmjs.org/@types/hast/-/hast-2.3.10.tgz",
+      "integrity": "sha512-McWspRw8xx8J9HurkVBfYj0xKoE25tOFlHGdx4MJ5xORQrMGZNqJhVQWaIbm6Oyla5kYOXtDiopzKRJzEOkwJw==",
       "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/rect": "1.0.1"
-      },
-      "peerDependencies": {
-        "@types/react": "*",
-        "react": "^16.8 || ^17.0 || ^18.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        }
+        "@types/unist": "^2"
       }
     },
-    "node_modules/@radix-ui/react-use-size": {
-      "version": "1.0.1",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-use-size/-/react-use-size-1.0.1.tgz",
-      "integrity": "sha512-ibay+VqrgcaI6veAojjofPATwledXiSmX+C0KrBk/xgpX9rBzPV3OsfwlhQdUOFbh+LKQorLYT+xTXW9V8yd0g==",
+    "node_modules/@types/hoist-non-react-statics": {
+      "version": "3.3.5",
+      "resolved": "https://registry.npmjs.org/@types/hoist-non-react-statics/-/hoist-non-react-statics-3.3.5.tgz",
+      "integrity": "sha512-SbcrWzkKBw2cdwRTwQAswfpB9g9LJWfjtUeW/jvNwbhC8cpmmNYVePa+ncbUe0rGTQ7G3Ff6mYUN2VMfLVr+Sg==",
       "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/react-use-layout-effect": "1.0.1"
-      },
-      "peerDependencies": {
         "@types/react": "*",
-        "react": "^16.8 || ^17.0 || ^18.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        }
+        "hoist-non-react-statics": "^3.3.0"
       }
     },
-    "node_modules/@radix-ui/react-visually-hidden": {
-      "version": "1.0.3",
-      "resolved": "https://registry.npmjs.org/@radix-ui/react-visually-hidden/-/react-visually-hidden-1.0.3.tgz",
-      "integrity": "sha512-D4w41yN5YRKtu464TLnByKzMDG/JlMPHtfZgQAu9v6mNakUqGUI9vUrfQKz8NK41VMm/xbZbh76NUTVtIYqOMA==",
+    "node_modules/@types/http-cache-semantics": {
+      "version": "4.0.4",
+      "resolved": "https://registry.npmjs.org/@types/http-cache-semantics/-/http-cache-semantics-4.0.4.tgz",
+      "integrity": "sha512-1m0bIFVc7eJWyve9S0RnuRgcQqF/Xd5QsUZAZeQFr1Q3/p9JWoQQEqmVy+DPTNpGXwhgIetAoYF8JSc33q29QA==",
+      "dev": true
+    },
+    "node_modules/@types/istanbul-lib-coverage": {
+      "version": "2.0.6",
+      "resolved": "https://registry.npmjs.org/@types/istanbul-lib-coverage/-/istanbul-lib-coverage-2.0.6.tgz",
+      "integrity": "sha512-2QF/t/auWm0lsy8XtKVPG19v3sSOQlJe/YHZgfjb/KBBHOGSV+J2q/S671rcq9uTBrLAXmZpqJiaQbMT+zNU1w==",
+      "dev": true
+    },
+    "node_modules/@types/istanbul-lib-report": {
+      "version": "3.0.3",
+      "resolved": "https://registry.npmjs.org/@types/istanbul-lib-report/-/istanbul-lib-report-3.0.3.tgz",
+      "integrity": "sha512-NQn7AHQnk/RSLOxrBbGyJM/aVQ+pjj5HCgasFxc0K/KhoATfQ/47AyUl15I2yBUpihjmas+a+VJBOqecrFH+uA==",
+      "dev": true,
       "dependencies": {
-        "@babel/runtime": "^7.13.10",
-        "@radix-ui/react-primitive": "1.0.3"
-      },
-      "peerDependencies": {
-        "@types/react": "*",
-        "@types/react-dom": "*",
-        "react": "^16.8 || ^17.0 || ^18.0",
-        "react-dom": "^16.8 || ^17.0 || ^18.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        },
-        "@types/react-dom": {
-          "optional": true
-        }
+        "@types/istanbul-lib-coverage": "*"
       }
     },
-    "node_modules/@radix-ui/rect": {
-      "version": "1.0.1",
-      "resolved": "https://registry.npmjs.org/@radix-ui/rect/-/rect-1.0.1.tgz",
-      "integrity": "sha512-fyrgCaedtvMg9NK3en0pnOYJdtfwxUcNolezkNPUsoX57X8oQk+NkqcvzHXD2uKNij6GXmWU9NDru2IWjrO4BQ==",
+    "node_modules/@types/istanbul-reports": {
+      "version": "3.0.4",
+      "resolved": "https://registry.npmjs.org/@types/istanbul-reports/-/istanbul-reports-3.0.4.tgz",
+      "integrity": "sha512-pk2B1NWalF9toCRu6gjBzR69syFjP4Od8WRAX+0mmf9lAjCRicLOWc+ZrxZHx/0XRjotgkF9t6iaMJ+aXcOdZQ==",
+      "dev": true,
       "dependencies": {
-        "@babel/runtime": "^7.13.10"
+        "@types/istanbul-lib-report": "*"
       }
     },
-    "node_modules/@reactflow/background": {
-      "version": "11.3.8",
-      "resolved": "https://registry.npmjs.org/@reactflow/background/-/background-11.3.8.tgz",
-      "integrity": "sha512-U4aI54F7PwqgYI0Knv72QFRI/wXeipPmIYAlDsA0j51+tlPxs3Nk2z7G1/4pC11GxEZkgQVfcIXro4l1Fk+bIQ==",
+    "node_modules/@types/jest": {
+      "version": "29.5.12",
+      "resolved": "https://registry.npmjs.org/@types/jest/-/jest-29.5.12.tgz",
+      "integrity": "sha512-eDC8bTvT/QhYdxJAulQikueigY5AsdBRH2yDKW3yveW7svY3+DzN84/2NUgkw10RTiJbWqZrTtoGVdYlvFJdLw==",
+      "dev": true,
       "dependencies": {
-        "@reactflow/core": "11.10.3",
-        "classcat": "^5.0.3",
-        "zustand": "^4.4.1"
-      },
-      "peerDependencies": {
-        "react": ">=17",
-        "react-dom": ">=17"
+        "expect": "^29.0.0",
+        "pretty-format": "^29.0.0"
       }
     },
-    "node_modules/@reactflow/controls": {
-      "version": "11.2.8",
-      "resolved": "https://registry.npmjs.org/@reactflow/controls/-/controls-11.2.8.tgz",
-      "integrity": "sha512-Y9YVx38sRjYtbPsI/xa+B1FGN73FV1GqqajlmGfrc1TmqhJaX+gaMXMvVazT/N5haK1hMJvOApUTLQ2V/5Rdbg==",
-      "dependencies": {
-        "@reactflow/core": "11.10.3",
-        "classcat": "^5.0.3",
-        "zustand": "^4.4.1"
+    "node_modules/@types/jest/node_modules/ansi-styles": {
+      "version": "5.2.0",
+      "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-5.2.0.tgz",
+      "integrity": "sha512-Cxwpt2SfTzTtXcfOlzGEee8O+c+MmUgGrNiBcXnuWxuFJHe6a5Hz7qwhwe5OgaSYI0IJvkLqWX1ASG+cJOkEiA==",
+      "dev": true,
+      "engines": {
+        "node": ">=10"
       },
-      "peerDependencies": {
-        "react": ">=17",
-        "react-dom": ">=17"
+      "funding": {
+        "url": "https://github.com/chalk/ansi-styles?sponsor=1"
       }
     },
-    "node_modules/@reactflow/core": {
-      "version": "11.10.3",
-      "resolved": "https://registry.npmjs.org/@reactflow/core/-/core-11.10.3.tgz",
-      "integrity": "sha512-nV3nep4fjBy3h8mYSnJcclGcQtj8fkUBmNkEwCZCK4ps+n3HNkXFB0BRisSnQz6GRQlYboSsi0cThEl3KdNITw==",
+    "node_modules/@types/jest/node_modules/pretty-format": {
+      "version": "29.7.0",
+      "resolved": "https://registry.npmjs.org/pretty-format/-/pretty-format-29.7.0.tgz",
+      "integrity": "sha512-Pdlw/oPxN+aXdmM9R00JVC9WVFoCLTKJvDVLgmJ+qAffBMxsV85l/Lu7sNx4zSzPyoL2euImuEwHhOXdEgNFZQ==",
+      "dev": true,
       "dependencies": {
-        "@types/d3": "^7.4.0",
-        "@types/d3-drag": "^3.0.1",
-        "@types/d3-selection": "^3.0.3",
-        "@types/d3-zoom": "^3.0.1",
-        "classcat": "^5.0.3",
-        "d3-drag": "^3.0.0",
-        "d3-selection": "^3.0.0",
-        "d3-zoom": "^3.0.0",
-        "zustand": "^4.4.1"
+        "@jest/schemas": "^29.6.3",
+        "ansi-styles": "^5.0.0",
+        "react-is": "^18.0.0"
       },
-      "peerDependencies": {
-        "react": ">=17",
-        "react-dom": ">=17"
+      "engines": {
+        "node": "^14.15.0 || ^16.10.0 || >=18.0.0"
       }
     },
-    "node_modules/@reactflow/minimap": {
-      "version": "11.7.8",
-      "resolved": "https://registry.npmjs.org/@reactflow/minimap/-/minimap-11.7.8.tgz",
-      "integrity": "sha512-MwyP5q3VomC91Dhd4P6YcxEfnjDbREGYV6rRxbSJSTHiG0x7ETQCcPelYDGy7JvQej77Pa2yJ4g0FDwP7CsQEA==",
+    "node_modules/@types/jest/node_modules/react-is": {
+      "version": "18.3.1",
+      "resolved": "https://registry.npmjs.org/react-is/-/react-is-18.3.1.tgz",
+      "integrity": "sha512-/LLMVyas0ljjAtoYiPqYiL8VWXzUUdThrmU5+n20DZv+a+ClRoevUzw5JxU+Ieh5/c87ytoTBV9G1FiKfNJdmg==",
+      "dev": true
+    },
+    "node_modules/@types/katex": {
+      "version": "0.16.7",
+      "resolved": "https://registry.npmjs.org/@types/katex/-/katex-0.16.7.tgz",
+      "integrity": "sha512-HMwFiRujE5PjrgwHQ25+bsLJgowjGjm5Z8FVSf0N6PwgJrwxH0QxzHYDcKsTfV3wva0vzrpqMTJS2jXPr5BMEQ=="
+    },
+    "node_modules/@types/keyv": {
+      "version": "3.1.4",
+      "resolved": "https://registry.npmjs.org/@types/keyv/-/keyv-3.1.4.tgz",
+      "integrity": "sha512-BQ5aZNSCpj7D6K2ksrRCTmKRLEpnPvWDiLPfoGyhZ++8YtiK9d/3DBKPJgry359X/P1PfruyYwvnvwFjuEiEIg==",
+      "dev": true,
       "dependencies": {
-        "@reactflow/core": "11.10.3",
-        "@types/d3-selection": "^3.0.3",
-        "@types/d3-zoom": "^3.0.1",
-        "classcat": "^5.0.3",
-        "d3-selection": "^3.0.0",
-        "d3-zoom": "^3.0.0",
-        "zustand": "^4.4.1"
-      },
-      "peerDependencies": {
-        "react": ">=17",
-        "react-dom": ">=17"
+        "@types/node": "*"
       }
     },
-    "node_modules/@reactflow/node-resizer": {
-      "version": "2.2.8",
-      "resolved": "https://registry.npmjs.org/@reactflow/node-resizer/-/node-resizer-2.2.8.tgz",
-      "integrity": "sha512-u/EXLpvOfAmq1sGoPYwoX4gi0PnCi0mH3eHVClHNc8JQD0WCqcV1UeVV7H3PF+1SGhhg/aOv/vPG1PcQ5fu4jQ==",
+    "node_modules/@types/lodash": {
+      "version": "4.17.5",
+      "resolved": "https://registry.npmjs.org/@types/lodash/-/lodash-4.17.5.tgz",
+      "integrity": "sha512-MBIOHVZqVqgfro1euRDWX7OO0fBVUUMrN6Pwm8LQsz8cWhEpihlvR70ENj3f40j58TNxZaWv2ndSkInykNBBJw==",
+      "dev": true
+    },
+    "node_modules/@types/mathjax": {
+      "version": "0.0.37",
+      "resolved": "https://registry.npmjs.org/@types/mathjax/-/mathjax-0.0.37.tgz",
+      "integrity": "sha512-y0WSZBtBNQwcYipTU/BhgeFu1EZNlFvUNCmkMXV9kBQZq7/o5z82dNVyH3yy2Xv5zzeNeQoHSL4Xm06+EQiH+g=="
+    },
+    "node_modules/@types/mdast": {
+      "version": "3.0.15",
+      "resolved": "https://registry.npmjs.org/@types/mdast/-/mdast-3.0.15.tgz",
+      "integrity": "sha512-LnwD+mUEfxWMa1QpDraczIn6k0Ee3SMicuYSSzS6ZYl2gKS09EClnJYGd8Du6rfc5r/GZEk5o1mRb8TaTj03sQ==",
       "dependencies": {
-        "@reactflow/core": "11.10.3",
-        "classcat": "^5.0.4",
-        "d3-drag": "^3.0.0",
-        "d3-selection": "^3.0.0",
-        "zustand": "^4.4.1"
-      },
-      "peerDependencies": {
-        "react": ">=17",
-        "react-dom": ">=17"
+        "@types/unist": "^2"
       }
     },
-    "node_modules/@reactflow/node-toolbar": {
-      "version": "1.3.8",
-      "resolved": "https://registry.npmjs.org/@reactflow/node-toolbar/-/node-toolbar-1.3.8.tgz",
-      "integrity": "sha512-cfvlTPeJa/ciQTosx2bGrjHT8K/UL9kznpvpOzeZFnJm5UQXmbwAYt4Vo6GfkD51mORcIL7ujQJvB9ym3ZI9KA==",
+    "node_modules/@types/ms": {
+      "version": "0.7.34",
+      "resolved": "https://registry.npmjs.org/@types/ms/-/ms-0.7.34.tgz",
+      "integrity": "sha512-nG96G3Wp6acyAgJqGasjODb+acrI7KltPiRxzHPXnP3NgI28bpQDRv53olbqGXbfcgF5aiiHmO3xpwEpS5Ld9g=="
+    },
+    "node_modules/@types/node": {
+      "version": "20.14.6",
+      "resolved": "https://registry.npmjs.org/@types/node/-/node-20.14.6.tgz",
+      "integrity": "sha512-JbA0XIJPL1IiNnU7PFxDXyfAwcwVVrOoqyzzyQTyMeVhBzkJVMSkC1LlVsRQ2lpqiY4n6Bb9oCS6lzDKVQxbZw==",
+      "devOptional": true,
       "dependencies": {
-        "@reactflow/core": "11.10.3",
-        "classcat": "^5.0.3",
-        "zustand": "^4.4.1"
-      },
-      "peerDependencies": {
-        "react": ">=17",
-        "react-dom": ">=17"
+        "undici-types": "~5.26.4"
       }
     },
-    "node_modules/@remix-run/router": {
-      "version": "1.15.0",
-      "resolved": "https://registry.npmjs.org/@remix-run/router/-/router-1.15.0.tgz",
-      "integrity": "sha512-HOil5aFtme37dVQTB6M34G95kPM3MMuqSmIRVCC52eKV+Y/tGSqw9P3rWhlAx6A+mz+MoX+XxsGsNJbaI5qCgQ==",
-      "engines": {
-        "node": ">=14.0.0"
-      }
+    "node_modules/@types/prop-types": {
+      "version": "15.7.12",
+      "resolved": "https://registry.npmjs.org/@types/prop-types/-/prop-types-15.7.12.tgz",
+      "integrity": "sha512-5zvhXYtRNRluoE/jAp4GVsSduVUzNWKkOZrCDBWYtE7biZywwdC2AcEzg+cSMLFRfVgeAFqpfNabiPjxFddV1Q=="
     },
-    "node_modules/@rollup/pluginutils": {
-      "version": "5.1.0",
-      "resolved": "https://registry.npmjs.org/@rollup/pluginutils/-/pluginutils-5.1.0.tgz",
-      "integrity": "sha512-XTIWOPPcpvyKI6L1NHo0lFlCyznUEyPmPY1mc3KpPVDYulHSTvyeLNVW00QTLIAFNhR3kYnJTQHeGqU4M3n09g==",
+    "node_modules/@types/react": {
+      "version": "18.3.3",
+      "resolved": "https://registry.npmjs.org/@types/react/-/react-18.3.3.tgz",
+      "integrity": "sha512-hti/R0pS0q1/xx+TsI73XIqk26eBsISZ2R0wUijXIngRK9R/e7Xw/cXVxQK7R5JjW+SV4zGcn5hXjudkN/pLIw==",
       "dependencies": {
-        "@types/estree": "^1.0.0",
-        "estree-walker": "^2.0.2",
-        "picomatch": "^2.3.1"
-      },
-      "engines": {
-        "node": ">=14.0.0"
-      },
-      "peerDependencies": {
-        "rollup": "^1.20.0||^2.0.0||^3.0.0||^4.0.0"
-      },
-      "peerDependenciesMeta": {
-        "rollup": {
-          "optional": true
-        }
+        "@types/prop-types": "*",
+        "csstype": "^3.0.2"
       }
     },
-    "node_modules/@sindresorhus/is": {
-      "version": "4.6.0",
-      "resolved": "https://registry.npmjs.org/@sindresorhus/is/-/is-4.6.0.tgz",
-      "integrity": "sha512-t09vSN3MdfsyCHoFcTRCH/iUtG7OJ0CsjzB8cjAmKc/va/kIgeDI/TxsigdncE/4be734m0cvIYwNaV4i2XqAw==",
-      "dev": true,
-      "engines": {
-        "node": ">=10"
-      },
-      "funding": {
-        "url": "https://github.com/sindresorhus/is?sponsor=1"
+    "node_modules/@types/react-dom": {
+      "version": "18.3.0",
+      "resolved": "https://registry.npmjs.org/@types/react-dom/-/react-dom-18.3.0.tgz",
+      "integrity": "sha512-EhwApuTmMBmXuFOikhQLIBUn6uFg81SwLMOAUgodJF14SOBOCMdU04gDoYi0WOJJHD144TL32z4yDqCW3dnkQg==",
+      "devOptional": true,
+      "dependencies": {
+        "@types/react": "*"
       }
     },
-    "node_modules/@svgr/babel-plugin-add-jsx-attribute": {
-      "version": "8.0.0",
-      "resolved": "https://registry.npmjs.org/@svgr/babel-plugin-add-jsx-attribute/-/babel-plugin-add-jsx-attribute-8.0.0.tgz",
-      "integrity": "sha512-b9MIk7yhdS1pMCZM8VeNfUlSKVRhsHZNMl5O9SfaX0l0t5wjdgu4IDzGB8bpnGBBOjGST3rRFVsaaEtI4W6f7g==",
-      "engines": {
-        "node": ">=14"
-      },
-      "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/gregberge"
-      },
-      "peerDependencies": {
-        "@babel/core": "^7.0.0-0"
+    "node_modules/@types/responselike": {
+      "version": "1.0.3",
+      "resolved": "https://registry.npmjs.org/@types/responselike/-/responselike-1.0.3.tgz",
+      "integrity": "sha512-H/+L+UkTV33uf49PH5pCAUBVPNj2nDBXTN+qS1dOwyyg24l3CcicicCA7ca+HMvJBZcFgl5r8e+RR6elsb4Lyw==",
+      "dev": true,
+      "dependencies": {
+        "@types/node": "*"
       }
     },
-    "node_modules/@svgr/babel-plugin-remove-jsx-attribute": {
-      "version": "8.0.0",
-      "resolved": "https://registry.npmjs.org/@svgr/babel-plugin-remove-jsx-attribute/-/babel-plugin-remove-jsx-attribute-8.0.0.tgz",
-      "integrity": "sha512-BcCkm/STipKvbCl6b7QFrMh/vx00vIP63k2eM66MfHJzPr6O2U0jYEViXkHJWqXqQYjdeA9cuCl5KWmlwjDvbA==",
-      "engines": {
-        "node": ">=14"
-      },
-      "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/gregberge"
-      },
-      "peerDependencies": {
-        "@babel/core": "^7.0.0-0"
-      }
+    "node_modules/@types/stack-utils": {
+      "version": "2.0.3",
+      "resolved": "https://registry.npmjs.org/@types/stack-utils/-/stack-utils-2.0.3.tgz",
+      "integrity": "sha512-9aEbYZ3TbYMznPdcdr3SmIrLXwC/AKZXQeCf9Pgao5CKb8CyHuEX5jzWPTkvregvhRJHcpRO6BFoGW9ycaOkYw==",
+      "dev": true
     },
-    "node_modules/@svgr/babel-plugin-remove-jsx-empty-expression": {
-      "version": "8.0.0",
-      "resolved": "https://registry.npmjs.org/@svgr/babel-plugin-remove-jsx-empty-expression/-/babel-plugin-remove-jsx-empty-expression-8.0.0.tgz",
-      "integrity": "sha512-5BcGCBfBxB5+XSDSWnhTThfI9jcO5f0Ai2V24gZpG+wXF14BzwxxdDb4g6trdOux0rhibGs385BeFMSmxtS3uA==",
-      "engines": {
-        "node": ">=14"
-      },
-      "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/gregberge"
-      },
-      "peerDependencies": {
-        "@babel/core": "^7.0.0-0"
-      }
+    "node_modules/@types/unist": {
+      "version": "2.0.10",
+      "resolved": "https://registry.npmjs.org/@types/unist/-/unist-2.0.10.tgz",
+      "integrity": "sha512-IfYcSBWE3hLpBg8+X2SEa8LVkJdJEkT2Ese2aaLs3ptGdVtABxndrMaxuFlQ1qdFf9Q5rDvDpxI3WwgvKFAsQA=="
     },
-    "node_modules/@svgr/babel-plugin-replace-jsx-attribute-value": {
-      "version": "8.0.0",
-      "resolved": "https://registry.npmjs.org/@svgr/babel-plugin-replace-jsx-attribute-value/-/babel-plugin-replace-jsx-attribute-value-8.0.0.tgz",
-      "integrity": "sha512-KVQ+PtIjb1BuYT3ht8M5KbzWBhdAjjUPdlMtpuw/VjT8coTrItWX6Qafl9+ji831JaJcu6PJNKCV0bp01lBNzQ==",
-      "engines": {
-        "node": ">=14"
-      },
-      "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/gregberge"
-      },
-      "peerDependencies": {
-        "@babel/core": "^7.0.0-0"
+    "node_modules/@types/uuid": {
+      "version": "9.0.8",
+      "resolved": "https://registry.npmjs.org/@types/uuid/-/uuid-9.0.8.tgz",
+      "integrity": "sha512-jg+97EGIcY9AGHJJRaaPVgetKDsrTgbRjQ5Msgjh/DQKEFl0DtyRr/VCOyD1T2R1MNeWPK/u7JoGhlDZnKBAfA==",
+      "dev": true
+    },
+    "node_modules/@types/yargs": {
+      "version": "17.0.32",
+      "resolved": "https://registry.npmjs.org/@types/yargs/-/yargs-17.0.32.tgz",
+      "integrity": "sha512-xQ67Yc/laOG5uMfX/093MRlGGCIBzZMarVa+gfNKJxWAIgykYpVGkBdbqEzGDDfCrVUj6Hiff4mTZ5BA6TmAog==",
+      "dev": true,
+      "dependencies": {
+        "@types/yargs-parser": "*"
       }
     },
-    "node_modules/@svgr/babel-plugin-svg-dynamic-title": {
-      "version": "8.0.0",
-      "resolved": "https://registry.npmjs.org/@svgr/babel-plugin-svg-dynamic-title/-/babel-plugin-svg-dynamic-title-8.0.0.tgz",
-      "integrity": "sha512-omNiKqwjNmOQJ2v6ge4SErBbkooV2aAWwaPFs2vUY7p7GhVkzRkJ00kILXQvRhA6miHnNpXv7MRnnSjdRjK8og==",
-      "engines": {
-        "node": ">=14"
-      },
-      "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/gregberge"
+    "node_modules/@types/yargs-parser": {
+      "version": "21.0.3",
+      "resolved": "https://registry.npmjs.org/@types/yargs-parser/-/yargs-parser-21.0.3.tgz",
+      "integrity": "sha512-I4q9QU9MQv4oEOz4tAHJtNz1cwuLxn2F3xcc2iV5WdqLPpUnj30aUuxt1mAxYTG+oe8CZMV/+6rU4S4gRDzqtQ==",
+      "dev": true
+    },
+    "node_modules/@vitejs/plugin-react-swc": {
+      "version": "3.7.0",
+      "resolved": "https://registry.npmjs.org/@vitejs/plugin-react-swc/-/plugin-react-swc-3.7.0.tgz",
+      "integrity": "sha512-yrknSb3Dci6svCd/qhHqhFPDSw0QtjumcqdKMoNNzmOl5lMXTTiqzjWtG4Qask2HdvvzaNgSunbQGet8/GrKdA==",
+      "dev": true,
+      "dependencies": {
+        "@swc/core": "^1.5.7"
       },
       "peerDependencies": {
-        "@babel/core": "^7.0.0-0"
+        "vite": "^4 || ^5"
       }
     },
-    "node_modules/@svgr/babel-plugin-svg-em-dimensions": {
-      "version": "8.0.0",
-      "resolved": "https://registry.npmjs.org/@svgr/babel-plugin-svg-em-dimensions/-/babel-plugin-svg-em-dimensions-8.0.0.tgz",
-      "integrity": "sha512-mURHYnu6Iw3UBTbhGwE/vsngtCIbHE43xCRK7kCw4t01xyGqb2Pd+WXekRRoFOBIY29ZoOhUCTEweDMdrjfi9g==",
-      "engines": {
-        "node": ">=14"
-      },
-      "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/gregberge"
+    "node_modules/abab": {
+      "version": "2.0.6",
+      "resolved": "https://registry.npmjs.org/abab/-/abab-2.0.6.tgz",
+      "integrity": "sha512-j2afSsaIENvHZN2B8GOpF566vZ5WVk5opAiMTvWgaQT8DkbOqsTfvNAvHoRGU2zzP8cPoqys+xHTRDWW8L+/BA==",
+      "deprecated": "Use your platform's native atob() and btoa() methods instead"
+    },
+    "node_modules/abbrev": {
+      "version": "1.1.1",
+      "resolved": "https://registry.npmjs.org/abbrev/-/abbrev-1.1.1.tgz",
+      "integrity": "sha512-nne9/IiQ/hzIhY6pdDnbBtz7DjPTKrY00P/zvPSm5pOFkl6xuGrGnXn/VtTNNfNtAfZ9/1RtehkszU9qcTii0Q==",
+      "optional": true
+    },
+    "node_modules/ace-builds": {
+      "version": "1.35.0",
+      "resolved": "https://registry.npmjs.org/ace-builds/-/ace-builds-1.35.0.tgz",
+      "integrity": "sha512-bwDKqjqNccC/MSujqnYTeAS5dIR8UmGLP0R90mvsJY0FRC8NUWBSTfj34+EIzo2NWc/gV8IZTqv4fXaiZJpCtA=="
+    },
+    "node_modules/acorn": {
+      "version": "8.12.0",
+      "resolved": "https://registry.npmjs.org/acorn/-/acorn-8.12.0.tgz",
+      "integrity": "sha512-RTvkC4w+KNXrM39/lWCUaG0IbRkWdCv7W/IOW9oU6SawyxulvkQy5HQPVTKxEjczcUvapcrw3cFx/60VN/NRNw==",
+      "bin": {
+        "acorn": "bin/acorn"
       },
-      "peerDependencies": {
-        "@babel/core": "^7.0.0-0"
+      "engines": {
+        "node": ">=0.4.0"
       }
     },
-    "node_modules/@svgr/babel-plugin-transform-react-native-svg": {
-      "version": "8.1.0",
-      "resolved": "https://registry.npmjs.org/@svgr/babel-plugin-transform-react-native-svg/-/babel-plugin-transform-react-native-svg-8.1.0.tgz",
-      "integrity": "sha512-Tx8T58CHo+7nwJ+EhUwx3LfdNSG9R2OKfaIXXs5soiy5HtgoAEkDay9LIimLOcG8dJQH1wPZp/cnAv6S9CrR1Q==",
-      "engines": {
-        "node": ">=14"
-      },
-      "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/gregberge"
-      },
-      "peerDependencies": {
-        "@babel/core": "^7.0.0-0"
+    "node_modules/acorn-globals": {
+      "version": "7.0.1",
+      "resolved": "https://registry.npmjs.org/acorn-globals/-/acorn-globals-7.0.1.tgz",
+      "integrity": "sha512-umOSDSDrfHbTNPuNpC2NSnnA3LUrqpevPb4T9jRx4MagXNS0rs+gwiTcAvqCRmsD6utzsrzNt+ebm00SNWiC3Q==",
+      "dependencies": {
+        "acorn": "^8.1.0",
+        "acorn-walk": "^8.0.2"
       }
     },
-    "node_modules/@svgr/babel-plugin-transform-svg-component": {
-      "version": "8.0.0",
-      "resolved": "https://registry.npmjs.org/@svgr/babel-plugin-transform-svg-component/-/babel-plugin-transform-svg-component-8.0.0.tgz",
-      "integrity": "sha512-DFx8xa3cZXTdb/k3kfPeaixecQLgKh5NVBMwD0AQxOzcZawK4oo1Jh9LbrcACUivsCA7TLG8eeWgrDXjTMhRmw==",
-      "engines": {
-        "node": ">=12"
-      },
-      "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/gregberge"
-      },
+    "node_modules/acorn-jsx": {
+      "version": "5.3.2",
+      "resolved": "https://registry.npmjs.org/acorn-jsx/-/acorn-jsx-5.3.2.tgz",
+      "integrity": "sha512-rq9s+JNhf0IChjtDXxllJ7g41oZk5SlXtp0LHwyA5cejwn7vKmKp4pPri6YEePv2PU65sAsegbXtIinmDFDXgQ==",
+      "dev": true,
       "peerDependencies": {
-        "@babel/core": "^7.0.0-0"
+        "acorn": "^6.0.0 || ^7.0.0 || ^8.0.0"
       }
     },
-    "node_modules/@svgr/babel-preset": {
-      "version": "8.1.0",
-      "resolved": "https://registry.npmjs.org/@svgr/babel-preset/-/babel-preset-8.1.0.tgz",
-      "integrity": "sha512-7EYDbHE7MxHpv4sxvnVPngw5fuR6pw79SkcrILHJ/iMpuKySNCl5W1qcwPEpU+LgyRXOaAFgH0KhwD18wwg6ug==",
+    "node_modules/acorn-walk": {
+      "version": "8.3.3",
+      "resolved": "https://registry.npmjs.org/acorn-walk/-/acorn-walk-8.3.3.tgz",
+      "integrity": "sha512-MxXdReSRhGO7VlFe1bRG/oI7/mdLV9B9JJT0N8vZOhF7gFRR5l3M8W9G8JxmKV+JC5mGqJ0QvqfSOLsCPa4nUw==",
       "dependencies": {
-        "@svgr/babel-plugin-add-jsx-attribute": "8.0.0",
-        "@svgr/babel-plugin-remove-jsx-attribute": "8.0.0",
-        "@svgr/babel-plugin-remove-jsx-empty-expression": "8.0.0",
-        "@svgr/babel-plugin-replace-jsx-attribute-value": "8.0.0",
-        "@svgr/babel-plugin-svg-dynamic-title": "8.0.0",
-        "@svgr/babel-plugin-svg-em-dimensions": "8.0.0",
-        "@svgr/babel-plugin-transform-react-native-svg": "8.1.0",
-        "@svgr/babel-plugin-transform-svg-component": "8.0.0"
+        "acorn": "^8.11.0"
       },
       "engines": {
-        "node": ">=14"
-      },
-      "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/gregberge"
-      },
-      "peerDependencies": {
-        "@babel/core": "^7.0.0-0"
+        "node": ">=0.4.0"
       }
     },
-    "node_modules/@svgr/core": {
-      "version": "8.1.0",
-      "resolved": "https://registry.npmjs.org/@svgr/core/-/core-8.1.0.tgz",
-      "integrity": "sha512-8QqtOQT5ACVlmsvKOJNEaWmRPmcojMOzCz4Hs2BGG/toAp/K38LcsMRyLp349glq5AzJbCEeimEoxaX6v/fLrA==",
+    "node_modules/ag-grid-community": {
+      "version": "31.3.2",
+      "resolved": "https://registry.npmjs.org/ag-grid-community/-/ag-grid-community-31.3.2.tgz",
+      "integrity": "sha512-GxqFRD0OcjaVRE1gwLgoP0oERNPH8Lk8wKJ1txulsxysEQ5dZWHhiIoXXSiHjvOCVMkK/F5qzY6HNrn6VeDMTQ=="
+    },
+    "node_modules/ag-grid-react": {
+      "version": "31.3.2",
+      "resolved": "https://registry.npmjs.org/ag-grid-react/-/ag-grid-react-31.3.2.tgz",
+      "integrity": "sha512-SFHN05bsXp901rIT00Fa6iQLCtyavoJiKaXEDUtAU5LMu+GTkjs/FPQBQ8754omgdDFr4NsS3Ri6QbqBne3rug==",
       "dependencies": {
-        "@babel/core": "^7.21.3",
-        "@svgr/babel-preset": "8.1.0",
-        "camelcase": "^6.2.0",
-        "cosmiconfig": "^8.1.3",
-        "snake-case": "^3.0.4"
-      },
-      "engines": {
-        "node": ">=14"
+        "ag-grid-community": "31.3.2",
+        "prop-types": "^15.8.1"
       },
-      "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/gregberge"
+      "peerDependencies": {
+        "react": "^16.3.0 || ^17.0.0 || ^18.0.0",
+        "react-dom": "^16.3.0 || ^17.0.0 || ^18.0.0"
       }
     },
-    "node_modules/@svgr/core/node_modules/cosmiconfig": {
-      "version": "8.3.6",
-      "resolved": "https://registry.npmjs.org/cosmiconfig/-/cosmiconfig-8.3.6.tgz",
-      "integrity": "sha512-kcZ6+W5QzcJ3P1Mt+83OUv/oHFqZHIx8DuxG6eZ5RGMERoLqp4BuGjhHLYGK+Kf5XVkQvqBSmAy/nGWN3qDgEA==",
+    "node_modules/agent-base": {
+      "version": "6.0.2",
+      "resolved": "https://registry.npmjs.org/agent-base/-/agent-base-6.0.2.tgz",
+      "integrity": "sha512-RZNwNclF7+MS/8bDg70amg32dyeZGZxiDuQmZxKLAlQjr3jGyLx+4Kkk58UO7D2QdgFIQCovuSuZESne6RG6XQ==",
       "dependencies": {
-        "import-fresh": "^3.3.0",
-        "js-yaml": "^4.1.0",
-        "parse-json": "^5.2.0",
-        "path-type": "^4.0.0"
+        "debug": "4"
       },
       "engines": {
-        "node": ">=14"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/d-fischer"
-      },
-      "peerDependencies": {
-        "typescript": ">=4.9.5"
-      },
-      "peerDependenciesMeta": {
-        "typescript": {
-          "optional": true
-        }
+        "node": ">= 6.0.0"
       }
     },
-    "node_modules/@svgr/hast-util-to-babel-ast": {
-      "version": "8.0.0",
-      "resolved": "https://registry.npmjs.org/@svgr/hast-util-to-babel-ast/-/hast-util-to-babel-ast-8.0.0.tgz",
-      "integrity": "sha512-EbDKwO9GpfWP4jN9sGdYwPBU0kdomaPIL2Eu4YwmgP+sJeXT+L7bMwJUBnhzfH8Q2qMBqZ4fJwpCyYsAN3mt2Q==",
+    "node_modules/ajv": {
+      "version": "6.12.6",
+      "resolved": "https://registry.npmjs.org/ajv/-/ajv-6.12.6.tgz",
+      "integrity": "sha512-j3fVLgvTo527anyYyJOGTYJbG+vnnQYvE0m5mmkc1TK+nxAppkCLMIL0aZ4dblVCNoGShhm+kzE4ZUykBoMg4g==",
+      "dev": true,
       "dependencies": {
-        "@babel/types": "^7.21.3",
-        "entities": "^4.4.0"
-      },
-      "engines": {
-        "node": ">=14"
+        "fast-deep-equal": "^3.1.1",
+        "fast-json-stable-stringify": "^2.0.0",
+        "json-schema-traverse": "^0.4.1",
+        "uri-js": "^4.2.2"
       },
       "funding": {
         "type": "github",
-        "url": "https://github.com/sponsors/gregberge"
+        "url": "https://github.com/sponsors/epoberezkin"
       }
     },
-    "node_modules/@svgr/hast-util-to-babel-ast/node_modules/entities": {
-      "version": "4.5.0",
-      "resolved": "https://registry.npmjs.org/entities/-/entities-4.5.0.tgz",
-      "integrity": "sha512-V0hjH4dGPh9Ao5p0MoRY6BVqtwCjhz6vI5LT8AJ55H+4g9/4vbHx1I54fS0XuclLhDHArPQCiMjDxjaL8fPxhw==",
+    "node_modules/ansi-regex": {
+      "version": "5.0.1",
+      "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-5.0.1.tgz",
+      "integrity": "sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ==",
       "engines": {
-        "node": ">=0.12"
-      },
-      "funding": {
-        "url": "https://github.com/fb55/entities?sponsor=1"
+        "node": ">=8"
       }
     },
-    "node_modules/@svgr/plugin-jsx": {
-      "version": "8.1.0",
-      "resolved": "https://registry.npmjs.org/@svgr/plugin-jsx/-/plugin-jsx-8.1.0.tgz",
-      "integrity": "sha512-0xiIyBsLlr8quN+WyuxooNW9RJ0Dpr8uOnH/xrCVO8GLUcwHISwj1AG0k+LFzteTkAA0GbX0kj9q6Dk70PTiPA==",
+    "node_modules/ansi-styles": {
+      "version": "3.2.1",
+      "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-3.2.1.tgz",
+      "integrity": "sha512-VT0ZI6kZRdTh8YyJw3SMbYm/u+NqfsAxEpWO0Pf9sq8/e94WxxOpPKx9FR1FlyCtOVDNOQ+8ntlqFxiRc+r5qA==",
       "dependencies": {
-        "@babel/core": "^7.21.3",
-        "@svgr/babel-preset": "8.1.0",
-        "@svgr/hast-util-to-babel-ast": "8.0.0",
-        "svg-parser": "^2.0.4"
+        "color-convert": "^1.9.0"
       },
       "engines": {
-        "node": ">=14"
-      },
-      "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/gregberge"
-      },
-      "peerDependencies": {
-        "@svgr/core": "*"
+        "node": ">=4"
       }
     },
-    "node_modules/@swc/cli": {
-      "version": "0.1.65",
-      "resolved": "https://registry.npmjs.org/@swc/cli/-/cli-0.1.65.tgz",
-      "integrity": "sha512-4NcgsvJVHhA7trDnMmkGLLvWMHu2kSy+qHx6QwRhhJhdiYdNUrhdp+ERxen73sYtaeEOYeLJcWrQ60nzKi6rpg==",
-      "dev": true,
+    "node_modules/ansi-to-html": {
+      "version": "0.7.2",
+      "resolved": "https://registry.npmjs.org/ansi-to-html/-/ansi-to-html-0.7.2.tgz",
+      "integrity": "sha512-v6MqmEpNlxF+POuyhKkidusCHWWkaLcGRURzivcU3I9tv7k4JVhFcnukrM5Rlk2rUywdZuzYAZ+kbZqWCnfN3g==",
       "dependencies": {
-        "@mole-inc/bin-wrapper": "^8.0.1",
-        "commander": "^7.1.0",
-        "fast-glob": "^3.2.5",
-        "minimatch": "^9.0.3",
-        "semver": "^7.3.8",
-        "slash": "3.0.0",
-        "source-map": "^0.7.3"
+        "entities": "^2.2.0"
       },
       "bin": {
-        "spack": "bin/spack.js",
-        "swc": "bin/swc.js",
-        "swcx": "bin/swcx.js"
+        "ansi-to-html": "bin/ansi-to-html"
       },
       "engines": {
-        "node": ">= 12.13"
-      },
-      "peerDependencies": {
-        "@swc/core": "^1.2.66",
-        "chokidar": "^3.5.1"
-      },
-      "peerDependenciesMeta": {
-        "chokidar": {
-          "optional": true
-        }
+        "node": ">=8.0.0"
       }
     },
-    "node_modules/@swc/cli/node_modules/source-map": {
-      "version": "0.7.4",
-      "resolved": "https://registry.npmjs.org/source-map/-/source-map-0.7.4.tgz",
-      "integrity": "sha512-l3BikUxvPOcn5E74dZiq5BGsTb5yEwhaTSzccU6t4sDOH8NWJCstKO5QT2CvtFoK6F0saL7p9xHAqHOlCPJygA==",
-      "dev": true,
+    "node_modules/any-promise": {
+      "version": "1.3.0",
+      "resolved": "https://registry.npmjs.org/any-promise/-/any-promise-1.3.0.tgz",
+      "integrity": "sha512-7UvmKalWRt1wgjL1RrGxoSJW/0QZFIegpeGvZG9kjp8vrRu55XTHbwnqq2GpXm9uLbcuhxm3IqX9OB4MZR1b2A=="
+    },
+    "node_modules/anymatch": {
+      "version": "3.1.3",
+      "resolved": "https://registry.npmjs.org/anymatch/-/anymatch-3.1.3.tgz",
+      "integrity": "sha512-KMReFUr0B4t+D+OBkjR3KYqvocp2XaSzO55UcB6mgQMd3KbcE+mWTyvVV7D/zsdEbNnV6acZUutkiHQXvTr1Rw==",
+      "dependencies": {
+        "normalize-path": "^3.0.0",
+        "picomatch": "^2.0.4"
+      },
       "engines": {
         "node": ">= 8"
       }
     },
-    "node_modules/@swc/core": {
-      "version": "1.4.0",
-      "resolved": "https://registry.npmjs.org/@swc/core/-/core-1.4.0.tgz",
-      "integrity": "sha512-wc5DMI5BJftnK0Fyx9SNJKkA0+BZSJQx8430yutWmsILkHMBD3Yd9GhlMaxasab9RhgKqZp7Ht30hUYO5ZDvQg==",
+    "node_modules/aproba": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/aproba/-/aproba-2.0.0.tgz",
+      "integrity": "sha512-lYe4Gx7QT+MKGbDsA+Z+he/Wtef0BiwDOlK/XkBrdfsh9J/jPPXbX0tE9x9cl27Tmu5gg3QUbUrQYa/y+KOHPQ==",
+      "optional": true
+    },
+    "node_modules/arch": {
+      "version": "2.2.0",
+      "resolved": "https://registry.npmjs.org/arch/-/arch-2.2.0.tgz",
+      "integrity": "sha512-Of/R0wqp83cgHozfIYLbBMnej79U/SVGOOyuB3VVFv1NRM/PSFMK12x9KVtiYzJqmnU5WR2qp0Z5rHb7sWGnFQ==",
       "dev": true,
-      "hasInstallScript": true,
+      "funding": [
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/feross"
+        },
+        {
+          "type": "patreon",
+          "url": "https://www.patreon.com/feross"
+        },
+        {
+          "type": "consulting",
+          "url": "https://feross.org/support"
+        }
+      ]
+    },
+    "node_modules/are-we-there-yet": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/are-we-there-yet/-/are-we-there-yet-2.0.0.tgz",
+      "integrity": "sha512-Ci/qENmwHnsYo9xKIcUJN5LeDKdJ6R1Z1j9V/J5wyq8nh/mYPEpIKJbBZXtZjG04HiK7zV/p6Vs9952MrMeUIw==",
+      "deprecated": "This package is no longer supported.",
+      "optional": true,
       "dependencies": {
-        "@swc/counter": "^0.1.1",
-        "@swc/types": "^0.1.5"
+        "delegates": "^1.0.0",
+        "readable-stream": "^3.6.0"
       },
       "engines": {
         "node": ">=10"
-      },
-      "funding": {
-        "type": "opencollective",
-        "url": "https://opencollective.com/swc"
-      },
-      "optionalDependencies": {
-        "@swc/core-darwin-arm64": "1.4.0",
-        "@swc/core-darwin-x64": "1.4.0",
-        "@swc/core-linux-arm-gnueabihf": "1.4.0",
-        "@swc/core-linux-arm64-gnu": "1.4.0",
-        "@swc/core-linux-arm64-musl": "1.4.0",
-        "@swc/core-linux-x64-gnu": "1.4.0",
-        "@swc/core-linux-x64-musl": "1.4.0",
-        "@swc/core-win32-arm64-msvc": "1.4.0",
-        "@swc/core-win32-ia32-msvc": "1.4.0",
-        "@swc/core-win32-x64-msvc": "1.4.0"
-      },
-      "peerDependencies": {
-        "@swc/helpers": "^0.5.0"
-      },
-      "peerDependenciesMeta": {
-        "@swc/helpers": {
-          "optional": true
-        }
       }
     },
-    "node_modules/@swc/core-darwin-arm64": {
-      "version": "1.4.0",
-      "resolved": "https://registry.npmjs.org/@swc/core-darwin-arm64/-/core-darwin-arm64-1.4.0.tgz",
-      "integrity": "sha512-UTJ/Vz+s7Pagef6HmufWt6Rs0aUu+EJF4Pzuwvr7JQQ5b1DZeAAUeUtkUTFx/PvCbM8Xfw4XdKBUZfrIKCfW8A==",
-      "cpu": [
-        "arm64"
-      ],
-      "dev": true,
-      "optional": true,
-      "os": [
-        "darwin"
-      ],
+    "node_modules/arg": {
+      "version": "5.0.2",
+      "resolved": "https://registry.npmjs.org/arg/-/arg-5.0.2.tgz",
+      "integrity": "sha512-PYjyFOLKQ9y57JvQ6QLo8dAgNqswh8M1RMJYdQduT6xbWSgK36P/Z/v+p888pM69jMMfS8Xd8F6I1kQ/I9HUGg=="
+    },
+    "node_modules/argparse": {
+      "version": "2.0.1",
+      "resolved": "https://registry.npmjs.org/argparse/-/argparse-2.0.1.tgz",
+      "integrity": "sha512-8+9WqebbFzpX9OR+Wa6O29asIogeRMzcGtAINdpMHHyAg10f05aSFVBbcEqGf/PXw1EjAZ+q2/bEBg3DvurK3Q=="
+    },
+    "node_modules/aria-hidden": {
+      "version": "1.2.4",
+      "resolved": "https://registry.npmjs.org/aria-hidden/-/aria-hidden-1.2.4.tgz",
+      "integrity": "sha512-y+CcFFwelSXpLZk/7fMB2mUbGtX9lKycf1MWJ7CaTIERyitVlyQx6C+sxcROU2BAJ24OiZyK+8wj2i8AlBoS3A==",
+      "dependencies": {
+        "tslib": "^2.0.0"
+      },
       "engines": {
         "node": ">=10"
       }
     },
-    "node_modules/@swc/core-darwin-x64": {
-      "version": "1.4.0",
-      "resolved": "https://registry.npmjs.org/@swc/core-darwin-x64/-/core-darwin-x64-1.4.0.tgz",
-      "integrity": "sha512-f8v58u2GsGak8EtZFN9guXqE0Ep10Suny6xriaW2d8FGqESPyNrnBzli3aqkSeQk5gGqu2zJ7WiiKp3XoUOidA==",
-      "cpu": [
-        "x64"
-      ],
+    "node_modules/aria-query": {
+      "version": "5.3.0",
+      "resolved": "https://registry.npmjs.org/aria-query/-/aria-query-5.3.0.tgz",
+      "integrity": "sha512-b0P0sZPKtyu8HkeRAfCq0IfURZK+SuwMjY1UXGBU27wpAiTwQAIlq56IbIO+ytk/JjS1fMR14ee5WBBfKi5J6A==",
       "dev": true,
-      "optional": true,
-      "os": [
-        "darwin"
-      ],
-      "engines": {
-        "node": ">=10"
+      "dependencies": {
+        "dequal": "^2.0.3"
       }
     },
-    "node_modules/@swc/core-linux-arm-gnueabihf": {
-      "version": "1.4.0",
-      "resolved": "https://registry.npmjs.org/@swc/core-linux-arm-gnueabihf/-/core-linux-arm-gnueabihf-1.4.0.tgz",
-      "integrity": "sha512-q2KAkBzmPcTnRij/Y1fgHCKAGevUX/H4uUESrw1J5gmUg9Qip6onKV80lTumA1/aooGJ18LOsB31qdbwmZk9OA==",
-      "cpu": [
-        "arm"
-      ],
-      "dev": true,
-      "optional": true,
-      "os": [
-        "linux"
-      ],
+    "node_modules/ast-types": {
+      "version": "0.16.1",
+      "resolved": "https://registry.npmjs.org/ast-types/-/ast-types-0.16.1.tgz",
+      "integrity": "sha512-6t10qk83GOG8p0vKmaCr8eiilZwO171AvbROMtvvNiwrTly62t+7XkA8RdIIVbpMhCASAsxgAzdRSwh6nw/5Dg==",
+      "dependencies": {
+        "tslib": "^2.0.1"
+      },
       "engines": {
-        "node": ">=10"
+        "node": ">=4"
       }
     },
-    "node_modules/@swc/core-linux-arm64-gnu": {
-      "version": "1.4.0",
-      "resolved": "https://registry.npmjs.org/@swc/core-linux-arm64-gnu/-/core-linux-arm64-gnu-1.4.0.tgz",
-      "integrity": "sha512-SknGu96W0mzHtLHWm+62fk5+Omp9fMPFO7AWyGFmz2tr8EgRRXtTSrBUnWhAbgcalnhen48GsvtMdxf1KNputg==",
-      "cpu": [
-        "arm64"
-      ],
+    "node_modules/asynckit": {
+      "version": "0.4.0",
+      "resolved": "https://registry.npmjs.org/asynckit/-/asynckit-0.4.0.tgz",
+      "integrity": "sha512-Oei9OH4tRh0YqU3GxhX79dM/mwVgvbZJaSNaRk+bshkj0S5cfHcgYakreBjrHwatXKbz+IoIdYLxrKim2MjW0Q=="
+    },
+    "node_modules/autoprefixer": {
+      "version": "10.4.19",
+      "resolved": "https://registry.npmjs.org/autoprefixer/-/autoprefixer-10.4.19.tgz",
+      "integrity": "sha512-BaENR2+zBZ8xXhM4pUaKUxlVdxZ0EZhjvbopwnXmxRUfqDmwSpC2lAi/QXvx7NRdPCo1WKEcEF6mV64si1z4Ew==",
       "dev": true,
-      "optional": true,
-      "os": [
-        "linux"
+      "funding": [
+        {
+          "type": "opencollective",
+          "url": "https://opencollective.com/postcss/"
+        },
+        {
+          "type": "tidelift",
+          "url": "https://tidelift.com/funding/github/npm/autoprefixer"
+        },
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/ai"
+        }
       ],
+      "dependencies": {
+        "browserslist": "^4.23.0",
+        "caniuse-lite": "^1.0.30001599",
+        "fraction.js": "^4.3.7",
+        "normalize-range": "^0.1.2",
+        "picocolors": "^1.0.0",
+        "postcss-value-parser": "^4.2.0"
+      },
+      "bin": {
+        "autoprefixer": "bin/autoprefixer"
+      },
       "engines": {
-        "node": ">=10"
+        "node": "^10 || ^12 || >=14"
+      },
+      "peerDependencies": {
+        "postcss": "^8.1.0"
       }
     },
-    "node_modules/@swc/core-linux-arm64-musl": {
-      "version": "1.4.0",
-      "resolved": "https://registry.npmjs.org/@swc/core-linux-arm64-musl/-/core-linux-arm64-musl-1.4.0.tgz",
-      "integrity": "sha512-/k3TDvpBRMDNskHooNN1KqwUhcwkfBlIYxRTnJvsfT2C7My4pffR+4KXmt0IKynlTTbCdlU/4jgX4801FSuliw==",
-      "cpu": [
-        "arm64"
-      ],
-      "dev": true,
-      "optional": true,
-      "os": [
-        "linux"
-      ],
-      "engines": {
-        "node": ">=10"
+    "node_modules/axios": {
+      "version": "1.7.2",
+      "resolved": "https://registry.npmjs.org/axios/-/axios-1.7.2.tgz",
+      "integrity": "sha512-2A8QhOMrbomlDuiLeK9XibIBzuHeRcqqNOHp0Cyp5EoJ1IFDh+XZH3A6BkXtv0K4gFGCI0Y4BM7B1wOEi0Rmgw==",
+      "dependencies": {
+        "follow-redirects": "^1.15.6",
+        "form-data": "^4.0.0",
+        "proxy-from-env": "^1.1.0"
       }
     },
-    "node_modules/@swc/core-linux-x64-gnu": {
-      "version": "1.4.0",
-      "resolved": "https://registry.npmjs.org/@swc/core-linux-x64-gnu/-/core-linux-x64-gnu-1.4.0.tgz",
-      "integrity": "sha512-GYsTMvNt5+WTVlwwQzOOWsPMw6P/F41u5PGHWmfev8Nd4QJ1h3rWPySKk4mV42IJwH9MgQCVSl3ygwNqwl6kFg==",
-      "cpu": [
-        "x64"
-      ],
-      "dev": true,
-      "optional": true,
-      "os": [
-        "linux"
-      ],
-      "engines": {
-        "node": ">=10"
+    "node_modules/babel-plugin-syntax-hermes-parser": {
+      "version": "0.21.1",
+      "resolved": "https://registry.npmjs.org/babel-plugin-syntax-hermes-parser/-/babel-plugin-syntax-hermes-parser-0.21.1.tgz",
+      "integrity": "sha512-tUCEa+EykZx3oJXc+PolKz2iwDscCJ2hCONMvEqjAb4jIQH5ZapDd5Brs2Nk4TQpSJ/1Ykz53ksQbevXbF0wxg==",
+      "dependencies": {
+        "hermes-parser": "0.21.1"
       }
     },
-    "node_modules/@swc/core-linux-x64-musl": {
-      "version": "1.4.0",
-      "resolved": "https://registry.npmjs.org/@swc/core-linux-x64-musl/-/core-linux-x64-musl-1.4.0.tgz",
-      "integrity": "sha512-jGVPdM/VwF7kK/uYRW5N6FwzKf/FnDjGIR3RPvQokjYJy7Auk+3Oj21C0Jev7sIT9RYnO/TrFEoEozKeD/z2Qw==",
-      "cpu": [
-        "x64"
-      ],
+    "node_modules/bail": {
+      "version": "2.0.2",
+      "resolved": "https://registry.npmjs.org/bail/-/bail-2.0.2.tgz",
+      "integrity": "sha512-0xO6mYd7JB2YesxDKplafRpsiOzPt9V02ddPCLbY1xYGPOX24NTyN50qnUxgCPcSoYMhKpAuBTjQoRZCAkUDRw==",
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/wooorm"
+      }
+    },
+    "node_modules/balanced-match": {
+      "version": "1.0.2",
+      "resolved": "https://registry.npmjs.org/balanced-match/-/balanced-match-1.0.2.tgz",
+      "integrity": "sha512-3oSeUO0TMV67hN1AmbXsK4yaqU7tjiHlbxRDZOpH0KW9+CeX4bRAaX0Anxt0tx2MrpRpWwQaPwIlISEJhYU5Pw=="
+    },
+    "node_modules/base64-js": {
+      "version": "1.5.1",
+      "resolved": "https://registry.npmjs.org/base64-js/-/base64-js-1.5.1.tgz",
+      "integrity": "sha512-AKpaYlHn8t4SVbOHCy+b5+KKgvR4vrsD8vbvrbiQJps7fKDTkjkDry6ji0rUJjC0kzbNePLwzxq8iypo41qeWA==",
+      "funding": [
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/feross"
+        },
+        {
+          "type": "patreon",
+          "url": "https://www.patreon.com/feross"
+        },
+        {
+          "type": "consulting",
+          "url": "https://feross.org/support"
+        }
+      ]
+    },
+    "node_modules/bin-check": {
+      "version": "4.1.0",
+      "resolved": "https://registry.npmjs.org/bin-check/-/bin-check-4.1.0.tgz",
+      "integrity": "sha512-b6weQyEUKsDGFlACWSIOfveEnImkJyK/FGW6FAG42loyoquvjdtOIqO6yBFzHyqyVVhNgNkQxxx09SFLK28YnA==",
       "dev": true,
-      "optional": true,
-      "os": [
-        "linux"
-      ],
+      "dependencies": {
+        "execa": "^0.7.0",
+        "executable": "^4.1.0"
+      },
       "engines": {
-        "node": ">=10"
+        "node": ">=4"
       }
     },
-    "node_modules/@swc/core-win32-arm64-msvc": {
-      "version": "1.4.0",
-      "resolved": "https://registry.npmjs.org/@swc/core-win32-arm64-msvc/-/core-win32-arm64-msvc-1.4.0.tgz",
-      "integrity": "sha512-biHYm1AronEKlt47O/H8sSOBM2BKXMmWT+ApvlxUw50m1RGNnVnE0bgY7tylFuuSiWyXsQPJbmUV708JqORXVg==",
-      "cpu": [
-        "arm64"
-      ],
+    "node_modules/bin-version": {
+      "version": "6.0.0",
+      "resolved": "https://registry.npmjs.org/bin-version/-/bin-version-6.0.0.tgz",
+      "integrity": "sha512-nk5wEsP4RiKjG+vF+uG8lFsEn4d7Y6FVDamzzftSunXOoOcOOkzcWdKVlGgFFwlUQCj63SgnUkLLGF8v7lufhw==",
       "dev": true,
-      "optional": true,
-      "os": [
-        "win32"
-      ],
+      "dependencies": {
+        "execa": "^5.0.0",
+        "find-versions": "^5.0.0"
+      },
       "engines": {
-        "node": ">=10"
+        "node": ">=12"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
       }
     },
-    "node_modules/@swc/core-win32-ia32-msvc": {
-      "version": "1.4.0",
-      "resolved": "https://registry.npmjs.org/@swc/core-win32-ia32-msvc/-/core-win32-ia32-msvc-1.4.0.tgz",
-      "integrity": "sha512-TL5L2tFQb19kJwv6+elToGBj74QXCn9j+hZfwQatvZEJRA5rDK16eH6oAE751dGUArhnWlW3Vj65hViPvTuycw==",
-      "cpu": [
-        "ia32"
-      ],
+    "node_modules/bin-version-check": {
+      "version": "5.1.0",
+      "resolved": "https://registry.npmjs.org/bin-version-check/-/bin-version-check-5.1.0.tgz",
+      "integrity": "sha512-bYsvMqJ8yNGILLz1KP9zKLzQ6YpljV3ln1gqhuLkUtyfGi3qXKGuK2p+U4NAvjVFzDFiBBtOpCOSFNuYYEGZ5g==",
       "dev": true,
-      "optional": true,
-      "os": [
-        "win32"
-      ],
+      "dependencies": {
+        "bin-version": "^6.0.0",
+        "semver": "^7.5.3",
+        "semver-truncate": "^3.0.0"
+      },
       "engines": {
-        "node": ">=10"
+        "node": ">=12"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
       }
     },
-    "node_modules/@swc/core-win32-x64-msvc": {
-      "version": "1.4.0",
-      "resolved": "https://registry.npmjs.org/@swc/core-win32-x64-msvc/-/core-win32-x64-msvc-1.4.0.tgz",
-      "integrity": "sha512-e2xVezU7XZ2Stzn4i7TOQe2Kn84oYdG0M3A7XI7oTdcpsKCcKwgiMoroiAhqCv+iN20KNqhnWwJiUiTj/qN5AA==",
-      "cpu": [
-        "x64"
-      ],
+    "node_modules/bin-version-check/node_modules/semver": {
+      "version": "7.6.2",
+      "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.2.tgz",
+      "integrity": "sha512-FNAIBWCx9qcRhoHcgcJ0gvU7SN1lYU2ZXuSfl04bSC5OpvDHFyJCjdNHomPXxjQlCBU67YW64PzY7/VIEH7F2w==",
       "dev": true,
-      "optional": true,
-      "os": [
-        "win32"
-      ],
+      "bin": {
+        "semver": "bin/semver.js"
+      },
       "engines": {
         "node": ">=10"
       }
     },
-    "node_modules/@swc/counter": {
-      "version": "0.1.3",
-      "resolved": "https://registry.npmjs.org/@swc/counter/-/counter-0.1.3.tgz",
-      "integrity": "sha512-e2BR4lsJkkRlKZ/qCHPw9ZaSxc0MVUd7gtbtaB7aMvHeJVYe8sOB8DBZkP2DtISHGSku9sCK6T6cnY0CtXrOCQ==",
-      "dev": true
-    },
-    "node_modules/@swc/types": {
-      "version": "0.1.5",
-      "resolved": "https://registry.npmjs.org/@swc/types/-/types-0.1.5.tgz",
-      "integrity": "sha512-myfUej5naTBWnqOCc/MdVOLVjXUXtIA+NpDrDBKJtLLg2shUjBu3cZmB/85RyitKc55+lUUyl7oRfLOvkr2hsw==",
-      "dev": true
-    },
-    "node_modules/@szmarczak/http-timer": {
-      "version": "4.0.6",
-      "resolved": "https://registry.npmjs.org/@szmarczak/http-timer/-/http-timer-4.0.6.tgz",
-      "integrity": "sha512-4BAffykYOgO+5nzBWYwE3W90sBgLJoUPRWWcL8wlyiM8IB8ipJz3UMJ9KXQd1RKQXpKp8Tutn80HZtWsu2u76w==",
+    "node_modules/bin-version/node_modules/execa": {
+      "version": "5.1.1",
+      "resolved": "https://registry.npmjs.org/execa/-/execa-5.1.1.tgz",
+      "integrity": "sha512-8uSpZZocAZRBAPIEINJj3Lo9HyGitllczc27Eh5YYojjMFMn8yHMDMaUHE2Jqfq05D/wucwI4JGURyXt1vchyg==",
       "dev": true,
       "dependencies": {
-        "defer-to-connect": "^2.0.0"
+        "cross-spawn": "^7.0.3",
+        "get-stream": "^6.0.0",
+        "human-signals": "^2.1.0",
+        "is-stream": "^2.0.0",
+        "merge-stream": "^2.0.0",
+        "npm-run-path": "^4.0.1",
+        "onetime": "^5.1.2",
+        "signal-exit": "^3.0.3",
+        "strip-final-newline": "^2.0.0"
       },
       "engines": {
         "node": ">=10"
-      }
-    },
-    "node_modules/@tabler/icons": {
-      "version": "2.47.0",
-      "resolved": "https://registry.npmjs.org/@tabler/icons/-/icons-2.47.0.tgz",
-      "integrity": "sha512-4w5evLh+7FUUiA1GucvGj2ReX2TvOjEr4ejXdwL/bsjoSkof6r1gQmzqI+VHrE2CpJpB3al7bCTulOkFa/RcyA==",
+      },
       "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/codecalm"
+        "url": "https://github.com/sindresorhus/execa?sponsor=1"
       }
     },
-    "node_modules/@tabler/icons-react": {
-      "version": "2.47.0",
-      "resolved": "https://registry.npmjs.org/@tabler/icons-react/-/icons-react-2.47.0.tgz",
-      "integrity": "sha512-iqly2FvCF/qUbgmvS8E40rVeYY7laltc5GUjRxQj59DuX0x/6CpKHTXt86YlI2whg4czvd/c8Ce8YR08uEku0g==",
-      "dependencies": {
-        "@tabler/icons": "2.47.0",
-        "prop-types": "^15.7.2"
+    "node_modules/bin-version/node_modules/get-stream": {
+      "version": "6.0.1",
+      "resolved": "https://registry.npmjs.org/get-stream/-/get-stream-6.0.1.tgz",
+      "integrity": "sha512-ts6Wi+2j3jQjqi70w5AlN8DFnkSwC+MqmxEzdEALB2qXZYV3X/b1CTfgPLGJNMeAWxdPfU8FO1ms3NUfaHCPYg==",
+      "dev": true,
+      "engines": {
+        "node": ">=10"
       },
       "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/codecalm"
-      },
-      "peerDependencies": {
-        "react": "^16.5.1 || ^17.0.0 || ^18.0.0"
+        "url": "https://github.com/sponsors/sindresorhus"
       }
     },
-    "node_modules/@tailwindcss/forms": {
-      "version": "0.5.7",
-      "resolved": "https://registry.npmjs.org/@tailwindcss/forms/-/forms-0.5.7.tgz",
-      "integrity": "sha512-QE7X69iQI+ZXwldE+rzasvbJiyV/ju1FGHH0Qn2W3FKbuYtqp8LKcy6iSw79fVUT5/Vvf+0XgLCeYVG+UV6hOw==",
-      "dependencies": {
-        "mini-svg-data-uri": "^1.2.3"
+    "node_modules/bin-version/node_modules/is-stream": {
+      "version": "2.0.1",
+      "resolved": "https://registry.npmjs.org/is-stream/-/is-stream-2.0.1.tgz",
+      "integrity": "sha512-hFoiJiTl63nn+kstHGBtewWSKnQLpyb155KHheA1l39uvtO9nWIop1p3udqPcUd/xbF1VLMO4n7OI6p7RbngDg==",
+      "dev": true,
+      "engines": {
+        "node": ">=8"
       },
-      "peerDependencies": {
-        "tailwindcss": ">=3.0.0 || >= 3.0.0-alpha.1"
-      }
-    },
-    "node_modules/@tailwindcss/line-clamp": {
-      "version": "0.4.4",
-      "resolved": "https://registry.npmjs.org/@tailwindcss/line-clamp/-/line-clamp-0.4.4.tgz",
-      "integrity": "sha512-5U6SY5z8N42VtrCrKlsTAA35gy2VSyYtHWCsg1H87NU1SXnEfekTVlrga9fzUDrrHcGi2Lb5KenUWb4lRQT5/g==",
-      "peerDependencies": {
-        "tailwindcss": ">=2.0.0 || >=3.0.0 || >=3.0.0-alpha.1"
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
       }
     },
-    "node_modules/@tailwindcss/typography": {
-      "version": "0.5.10",
-      "resolved": "https://registry.npmjs.org/@tailwindcss/typography/-/typography-0.5.10.tgz",
-      "integrity": "sha512-Pe8BuPJQJd3FfRnm6H0ulKIGoMEQS+Vq01R6M5aCrFB/ccR/shT+0kXLjouGC1gFLm9hopTFN+DMP0pfwRWzPw==",
+    "node_modules/bin-version/node_modules/npm-run-path": {
+      "version": "4.0.1",
+      "resolved": "https://registry.npmjs.org/npm-run-path/-/npm-run-path-4.0.1.tgz",
+      "integrity": "sha512-S48WzZW777zhNIrn7gxOlISNAqi9ZC/uQFnRdbeIHhZhCA6UqpkOT8T1G7BvfdgP4Er8gF4sUbaS0i7QvIfCWw==",
       "dev": true,
       "dependencies": {
-        "lodash.castarray": "^4.4.0",
-        "lodash.isplainobject": "^4.0.6",
-        "lodash.merge": "^4.6.2",
-        "postcss-selector-parser": "6.0.10"
+        "path-key": "^3.0.0"
       },
-      "peerDependencies": {
-        "tailwindcss": ">=3.0.0 || insiders"
+      "engines": {
+        "node": ">=8"
       }
     },
-    "node_modules/@tanstack/react-virtual": {
-      "version": "3.0.4",
-      "resolved": "https://registry.npmjs.org/@tanstack/react-virtual/-/react-virtual-3.0.4.tgz",
-      "integrity": "sha512-tiqKW/e2MJVCr7/pRUXulpkyxllaOclkHNfhKTo4pmHjJIqnhMfwIjc1Q1R0Un3PI3kQywywu/791c8z9u0qeA==",
-      "dependencies": {
-        "@tanstack/virtual-core": "3.0.0"
+    "node_modules/binary-extensions": {
+      "version": "2.3.0",
+      "resolved": "https://registry.npmjs.org/binary-extensions/-/binary-extensions-2.3.0.tgz",
+      "integrity": "sha512-Ceh+7ox5qe7LJuLHoY0feh3pHuUDHAcRUeyL2VYghZwfpkNIy/+8Ocg0a3UuSoYzavmylwuLWQOf3hl0jjMMIw==",
+      "engines": {
+        "node": ">=8"
       },
       "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/tannerlinsley"
-      },
-      "peerDependencies": {
-        "react": "^16.8.0 || ^17.0.0 || ^18.0.0",
-        "react-dom": "^16.8.0 || ^17.0.0 || ^18.0.0"
+        "url": "https://github.com/sponsors/sindresorhus"
       }
     },
-    "node_modules/@tanstack/virtual-core": {
-      "version": "3.0.0",
-      "resolved": "https://registry.npmjs.org/@tanstack/virtual-core/-/virtual-core-3.0.0.tgz",
-      "integrity": "sha512-SYXOBTjJb05rXa2vl55TTwO40A6wKu0R5i1qQwhJYNDIqaIGF7D0HsLw+pJAyi2OvntlEIVusx3xtbbgSUi6zg==",
-      "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/tannerlinsley"
+    "node_modules/bl": {
+      "version": "5.1.0",
+      "resolved": "https://registry.npmjs.org/bl/-/bl-5.1.0.tgz",
+      "integrity": "sha512-tv1ZJHLfTDnXE6tMHv73YgSJaWR2AFuPwMntBe7XL/GBFHnT0CLnsHMogfk5+GzCDC5ZWarSCYaIGATZt9dNsQ==",
+      "dependencies": {
+        "buffer": "^6.0.3",
+        "inherits": "^2.0.4",
+        "readable-stream": "^3.4.0"
       }
     },
-    "node_modules/@testing-library/dom": {
-      "version": "9.3.4",
-      "resolved": "https://registry.npmjs.org/@testing-library/dom/-/dom-9.3.4.tgz",
-      "integrity": "sha512-FlS4ZWlp97iiNWig0Muq8p+3rVDjRiYE+YKGbAqXOu9nwJFFOdL00kFpz42M+4huzYi86vAK1sOOfyOG45muIQ==",
-      "dev": true,
-      "peer": true,
+    "node_modules/brace-expansion": {
+      "version": "2.0.1",
+      "resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-2.0.1.tgz",
+      "integrity": "sha512-XnAIvQ8eM+kC6aULx6wuQiwVsnzsi9d3WxzV3FpWTGA19F621kwdbsAcFKXgKUHZWsy+mY6iL1sHTxWEFCytDA==",
       "dependencies": {
-        "@babel/code-frame": "^7.10.4",
-        "@babel/runtime": "^7.12.5",
-        "@types/aria-query": "^5.0.1",
-        "aria-query": "5.1.3",
-        "chalk": "^4.1.0",
-        "dom-accessibility-api": "^0.5.9",
-        "lz-string": "^1.5.0",
-        "pretty-format": "^27.0.2"
-      },
-      "engines": {
-        "node": ">=14"
+        "balanced-match": "^1.0.0"
       }
     },
-    "node_modules/@testing-library/jest-dom": {
-      "version": "5.17.0",
-      "resolved": "https://registry.npmjs.org/@testing-library/jest-dom/-/jest-dom-5.17.0.tgz",
-      "integrity": "sha512-ynmNeT7asXyH3aSVv4vvX4Rb+0qjOhdNHnO/3vuZNqPmhDpV/+rCSGwQ7bLcmU2cJ4dvoheIO85LQj0IbJHEtg==",
-      "dev": true,
+    "node_modules/braces": {
+      "version": "3.0.3",
+      "resolved": "https://registry.npmjs.org/braces/-/braces-3.0.3.tgz",
+      "integrity": "sha512-yQbXgO/OSZVD2IsiLlro+7Hf6Q18EJrKSEsdoMzKePKXct3gvD8oLcOQdIzGupr5Fj+EDe8gO/lxc1BzfMpxvA==",
       "dependencies": {
-        "@adobe/css-tools": "^4.0.1",
-        "@babel/runtime": "^7.9.2",
-        "@types/testing-library__jest-dom": "^5.9.1",
-        "aria-query": "^5.0.0",
-        "chalk": "^3.0.0",
-        "css.escape": "^1.5.1",
-        "dom-accessibility-api": "^0.5.6",
-        "lodash": "^4.17.15",
-        "redent": "^3.0.0"
+        "fill-range": "^7.1.1"
       },
       "engines": {
-        "node": ">=8",
-        "npm": ">=6",
-        "yarn": ">=1"
+        "node": ">=8"
       }
     },
-    "node_modules/@testing-library/jest-dom/node_modules/chalk": {
-      "version": "3.0.0",
-      "resolved": "https://registry.npmjs.org/chalk/-/chalk-3.0.0.tgz",
-      "integrity": "sha512-4D3B6Wf41KOYRFdszmDqMCGq5VV/uMAB273JILmO+3jAlh8X4qDtdtgCR3fxtbLEMzSx22QdhnDcJvu2u1fVwg==",
-      "dev": true,
+    "node_modules/browserslist": {
+      "version": "4.23.1",
+      "resolved": "https://registry.npmjs.org/browserslist/-/browserslist-4.23.1.tgz",
+      "integrity": "sha512-TUfofFo/KsK/bWZ9TWQ5O26tsWW4Uhmt8IYklbnUa70udB6P2wA7w7o4PY4muaEPBQaAX+CEnmmIA41NVHtPVw==",
+      "funding": [
+        {
+          "type": "opencollective",
+          "url": "https://opencollective.com/browserslist"
+        },
+        {
+          "type": "tidelift",
+          "url": "https://tidelift.com/funding/github/npm/browserslist"
+        },
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/ai"
+        }
+      ],
       "dependencies": {
-        "ansi-styles": "^4.1.0",
-        "supports-color": "^7.1.0"
+        "caniuse-lite": "^1.0.30001629",
+        "electron-to-chromium": "^1.4.796",
+        "node-releases": "^2.0.14",
+        "update-browserslist-db": "^1.0.16"
+      },
+      "bin": {
+        "browserslist": "cli.js"
       },
       "engines": {
-        "node": ">=8"
+        "node": "^6 || ^7 || ^8 || ^9 || ^10 || ^11 || ^12 || >=13.7"
       }
     },
-    "node_modules/@testing-library/react": {
-      "version": "13.4.0",
-      "resolved": "https://registry.npmjs.org/@testing-library/react/-/react-13.4.0.tgz",
-      "integrity": "sha512-sXOGON+WNTh3MLE9rve97ftaZukN3oNf2KjDy7YTx6hcTO2uuLHuCGynMDhFwGw/jYf4OJ2Qk0i4i79qMNNkyw==",
-      "dev": true,
+    "node_modules/buffer": {
+      "version": "6.0.3",
+      "resolved": "https://registry.npmjs.org/buffer/-/buffer-6.0.3.tgz",
+      "integrity": "sha512-FTiCpNxtwiZZHEZbcbTIcZjERVICn9yq/pDFkTl95/AxzD1naBctN7YO68riM/gLSDY7sdrMby8hofADYuuqOA==",
+      "funding": [
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/feross"
+        },
+        {
+          "type": "patreon",
+          "url": "https://www.patreon.com/feross"
+        },
+        {
+          "type": "consulting",
+          "url": "https://feross.org/support"
+        }
+      ],
       "dependencies": {
-        "@babel/runtime": "^7.12.5",
-        "@testing-library/dom": "^8.5.0",
-        "@types/react-dom": "^18.0.0"
-      },
+        "base64-js": "^1.3.1",
+        "ieee754": "^1.2.1"
+      }
+    },
+    "node_modules/cacheable-lookup": {
+      "version": "5.0.4",
+      "resolved": "https://registry.npmjs.org/cacheable-lookup/-/cacheable-lookup-5.0.4.tgz",
+      "integrity": "sha512-2/kNscPhpcxrOigMZzbiWF7dz8ilhb/nIHU3EyZiXWXpeq/au8qJ8VhdftMkty3n7Gj6HIGalQG8oiBNB3AJgA==",
+      "dev": true,
       "engines": {
-        "node": ">=12"
-      },
-      "peerDependencies": {
-        "react": "^18.0.0",
-        "react-dom": "^18.0.0"
+        "node": ">=10.6.0"
       }
     },
-    "node_modules/@testing-library/react/node_modules/@testing-library/dom": {
-      "version": "8.20.1",
-      "resolved": "https://registry.npmjs.org/@testing-library/dom/-/dom-8.20.1.tgz",
-      "integrity": "sha512-/DiOQ5xBxgdYRC8LNk7U+RWat0S3qRLeIw3ZIkMQ9kkVlRmwD/Eg8k8CqIpD6GW7u20JIUOfMKbxtiLutpjQ4g==",
+    "node_modules/cacheable-request": {
+      "version": "7.0.4",
+      "resolved": "https://registry.npmjs.org/cacheable-request/-/cacheable-request-7.0.4.tgz",
+      "integrity": "sha512-v+p6ongsrp0yTGbJXjgxPow2+DL93DASP4kXCDKb8/bwRtt9OEF3whggkkDkGNzgcWy2XaF4a8nZglC7uElscg==",
       "dev": true,
       "dependencies": {
-        "@babel/code-frame": "^7.10.4",
-        "@babel/runtime": "^7.12.5",
-        "@types/aria-query": "^5.0.1",
-        "aria-query": "5.1.3",
-        "chalk": "^4.1.0",
-        "dom-accessibility-api": "^0.5.9",
-        "lz-string": "^1.5.0",
-        "pretty-format": "^27.0.2"
+        "clone-response": "^1.0.2",
+        "get-stream": "^5.1.0",
+        "http-cache-semantics": "^4.0.0",
+        "keyv": "^4.0.0",
+        "lowercase-keys": "^2.0.0",
+        "normalize-url": "^6.0.1",
+        "responselike": "^2.0.0"
       },
       "engines": {
-        "node": ">=12"
+        "node": ">=8"
       }
     },
-    "node_modules/@testing-library/user-event": {
-      "version": "13.5.0",
-      "resolved": "https://registry.npmjs.org/@testing-library/user-event/-/user-event-13.5.0.tgz",
-      "integrity": "sha512-5Kwtbo3Y/NowpkbRuSepbyMFkZmHgD+vPzYB/RJ4oxt5Gj/avFFBYjhw27cqSVPVw/3a67NK1PbiIr9k4Gwmdg==",
+    "node_modules/cacheable-request/node_modules/get-stream": {
+      "version": "5.2.0",
+      "resolved": "https://registry.npmjs.org/get-stream/-/get-stream-5.2.0.tgz",
+      "integrity": "sha512-nBF+F1rAZVCu/p7rjzgA+Yb4lfYXrpl7a6VmJrU8wF9I1CKvP/QwPNZHnOlwbTkY6dvtFIzFMSyQXbLoTQPRpA==",
       "dev": true,
       "dependencies": {
-        "@babel/runtime": "^7.12.5"
+        "pump": "^3.0.0"
       },
       "engines": {
-        "node": ">=10",
-        "npm": ">=6"
+        "node": ">=8"
       },
-      "peerDependencies": {
-        "@testing-library/dom": ">=7.21.4"
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
       }
     },
-    "node_modules/@tokenizer/token": {
-      "version": "0.3.0",
-      "resolved": "https://registry.npmjs.org/@tokenizer/token/-/token-0.3.0.tgz",
-      "integrity": "sha512-OvjF+z51L3ov0OyAU0duzsYuvO01PH7x4t6DJx+guahgTnBHkhJdG7soQeTSFLWN3efnHyibZ4Z8l2EuWwJN3A==",
-      "dev": true
-    },
-    "node_modules/@tootallnate/once": {
-      "version": "2.0.0",
-      "resolved": "https://registry.npmjs.org/@tootallnate/once/-/once-2.0.0.tgz",
-      "integrity": "sha512-XCuKFP5PS55gnMVu3dty8KPatLqUoy/ZYzDzAGCQ8JNFCkLXzmI7vNHCR+XpbZaMWQK/vQubr7PkYq8g470J/A==",
+    "node_modules/callsites": {
+      "version": "3.1.0",
+      "resolved": "https://registry.npmjs.org/callsites/-/callsites-3.1.0.tgz",
+      "integrity": "sha512-P8BjAsXvZS+VIDUI11hHCQEv74YT67YUi5JJFNWIqL235sBmjX4+qx9Muvls5ivyNENctx46xQLQ3aTuE7ssaQ==",
       "engines": {
-        "node": ">= 10"
-      }
-    },
-    "node_modules/@ts-morph/common": {
-      "version": "0.19.0",
-      "resolved": "https://registry.npmjs.org/@ts-morph/common/-/common-0.19.0.tgz",
-      "integrity": "sha512-Unz/WHmd4pGax91rdIKWi51wnVUW11QttMEPpBiBgIewnc9UQIX7UDLxr5vRlqeByXCwhkF6VabSsI0raWcyAQ==",
-      "dependencies": {
-        "fast-glob": "^3.2.12",
-        "minimatch": "^7.4.3",
-        "mkdirp": "^2.1.6",
-        "path-browserify": "^1.0.1"
+        "node": ">=6"
       }
     },
-    "node_modules/@ts-morph/common/node_modules/minimatch": {
-      "version": "7.4.6",
-      "resolved": "https://registry.npmjs.org/minimatch/-/minimatch-7.4.6.tgz",
-      "integrity": "sha512-sBz8G/YjVniEz6lKPNpKxXwazJe4c19fEfV2GDMX6AjFz+MX9uDWIZW8XreVhkFW3fkIdTv/gxWr/Kks5FFAVw==",
-      "dependencies": {
-        "brace-expansion": "^2.0.1"
-      },
+    "node_modules/camelcase": {
+      "version": "6.3.0",
+      "resolved": "https://registry.npmjs.org/camelcase/-/camelcase-6.3.0.tgz",
+      "integrity": "sha512-Gmy6FhYlCY7uOElZUSbxo2UCDH8owEk996gkbrpsgGtrJLM3J7jGxl9Ic7Qwwj4ivOE5AWZWRMecDdF7hqGjFA==",
       "engines": {
         "node": ">=10"
       },
       "funding": {
-        "url": "https://github.com/sponsors/isaacs"
+        "url": "https://github.com/sponsors/sindresorhus"
       }
     },
-    "node_modules/@types/aria-query": {
-      "version": "5.0.4",
-      "resolved": "https://registry.npmjs.org/@types/aria-query/-/aria-query-5.0.4.tgz",
-      "integrity": "sha512-rfT93uj5s0PRL7EzccGMs3brplhcrghnDoV26NqKhCAS1hVo+WdNsPvE/yb6ilfr5hi2MEk6d5EWJTKdxg8jVw==",
-      "dev": true
-    },
-    "node_modules/@types/axios": {
-      "version": "0.14.0",
-      "resolved": "https://registry.npmjs.org/@types/axios/-/axios-0.14.0.tgz",
-      "integrity": "sha512-KqQnQbdYE54D7oa/UmYVMZKq7CO4l8DEENzOKc4aBRwxCXSlJXGz83flFx5L7AWrOQnmuN3kVsRdt+GZPPjiVQ==",
-      "deprecated": "This is a stub types definition for axios (https://github.com/mzabriskie/axios). axios provides its own type definitions, so you don't need @types/axios installed!",
-      "dependencies": {
-        "axios": "*"
+    "node_modules/camelcase-css": {
+      "version": "2.0.1",
+      "resolved": "https://registry.npmjs.org/camelcase-css/-/camelcase-css-2.0.1.tgz",
+      "integrity": "sha512-QOSvevhslijgYwRx6Rv7zKdMF8lbRmx+uQGx2+vDc+KI/eBnsy9kit5aj23AgGu3pa4t9AgwbnXWqS+iOY+2aA==",
+      "engines": {
+        "node": ">= 6"
       }
     },
-    "node_modules/@types/cacheable-request": {
-      "version": "6.0.3",
-      "resolved": "https://registry.npmjs.org/@types/cacheable-request/-/cacheable-request-6.0.3.tgz",
-      "integrity": "sha512-IQ3EbTzGxIigb1I3qPZc1rWJnH0BmSKv5QYTalEwweFvyBDLSAe24zP0le/hyi7ecGfZVlIVAg4BZqb8WBwKqw==",
-      "dev": true,
+    "node_modules/caniuse-lite": {
+      "version": "1.0.30001636",
+      "resolved": "https://registry.npmjs.org/caniuse-lite/-/caniuse-lite-1.0.30001636.tgz",
+      "integrity": "sha512-bMg2vmr8XBsbL6Lr0UHXy/21m84FTxDLWn2FSqMd5PrlbMxwJlQnC2YWYxVgp66PZE+BBNF2jYQUBKCo1FDeZg==",
+      "funding": [
+        {
+          "type": "opencollective",
+          "url": "https://opencollective.com/browserslist"
+        },
+        {
+          "type": "tidelift",
+          "url": "https://tidelift.com/funding/github/npm/caniuse-lite"
+        },
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/ai"
+        }
+      ]
+    },
+    "node_modules/canvas": {
+      "version": "2.11.2",
+      "resolved": "https://registry.npmjs.org/canvas/-/canvas-2.11.2.tgz",
+      "integrity": "sha512-ItanGBMrmRV7Py2Z+Xhs7cT+FNt5K0vPL4p9EZ/UX/Mu7hFbkxSjKF2KVtPwX7UYWp7dRKnrTvReflgrItJbdw==",
+      "hasInstallScript": true,
+      "optional": true,
       "dependencies": {
-        "@types/http-cache-semantics": "*",
-        "@types/keyv": "^3.1.4",
-        "@types/node": "*",
-        "@types/responselike": "^1.0.0"
+        "@mapbox/node-pre-gyp": "^1.0.0",
+        "nan": "^2.17.0",
+        "simple-get": "^3.0.3"
+      },
+      "engines": {
+        "node": ">=6"
       }
     },
-    "node_modules/@types/cookie": {
-      "version": "0.3.3",
-      "resolved": "https://registry.npmjs.org/@types/cookie/-/cookie-0.3.3.tgz",
-      "integrity": "sha512-LKVP3cgXBT9RYj+t+9FDKwS5tdI+rPBXaNSkma7hvqy35lc7mAokC2zsqWJH0LaqIt3B962nuYI77hsJoT1gow=="
+    "node_modules/ccount": {
+      "version": "2.0.1",
+      "resolved": "https://registry.npmjs.org/ccount/-/ccount-2.0.1.tgz",
+      "integrity": "sha512-eyrF0jiFpY+3drT6383f1qhkbGsLSifNAjA61IUjZjmLCWjItY6LB9ft9YhoDgwfmclB2zhu51Lc7+95b8NRAg==",
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/wooorm"
+      }
     },
-    "node_modules/@types/d3": {
-      "version": "7.4.3",
-      "resolved": "https://registry.npmjs.org/@types/d3/-/d3-7.4.3.tgz",
-      "integrity": "sha512-lZXZ9ckh5R8uiFVt8ogUNf+pIrK4EsWrx2Np75WvF/eTpJ0FMHNhjXk8CKEx/+gpHbNQyJWehbFaTvqmHWB3ww==",
+    "node_modules/chalk": {
+      "version": "2.4.2",
+      "resolved": "https://registry.npmjs.org/chalk/-/chalk-2.4.2.tgz",
+      "integrity": "sha512-Mti+f9lpJNcwF4tWV8/OrTTtF1gZi+f8FqlyAdouralcFWFQWF2+NgCHShjkCb+IFBLq9buZwE1xckQU4peSuQ==",
       "dependencies": {
-        "@types/d3-array": "*",
-        "@types/d3-axis": "*",
-        "@types/d3-brush": "*",
-        "@types/d3-chord": "*",
-        "@types/d3-color": "*",
-        "@types/d3-contour": "*",
-        "@types/d3-delaunay": "*",
-        "@types/d3-dispatch": "*",
-        "@types/d3-drag": "*",
-        "@types/d3-dsv": "*",
-        "@types/d3-ease": "*",
-        "@types/d3-fetch": "*",
-        "@types/d3-force": "*",
-        "@types/d3-format": "*",
-        "@types/d3-geo": "*",
-        "@types/d3-hierarchy": "*",
-        "@types/d3-interpolate": "*",
-        "@types/d3-path": "*",
-        "@types/d3-polygon": "*",
-        "@types/d3-quadtree": "*",
-        "@types/d3-random": "*",
-        "@types/d3-scale": "*",
-        "@types/d3-scale-chromatic": "*",
-        "@types/d3-selection": "*",
-        "@types/d3-shape": "*",
-        "@types/d3-time": "*",
-        "@types/d3-time-format": "*",
-        "@types/d3-timer": "*",
-        "@types/d3-transition": "*",
-        "@types/d3-zoom": "*"
+        "ansi-styles": "^3.2.1",
+        "escape-string-regexp": "^1.0.5",
+        "supports-color": "^5.3.0"
+      },
+      "engines": {
+        "node": ">=4"
       }
     },
-    "node_modules/@types/d3-array": {
-      "version": "3.2.1",
-      "resolved": "https://registry.npmjs.org/@types/d3-array/-/d3-array-3.2.1.tgz",
-      "integrity": "sha512-Y2Jn2idRrLzUfAKV2LyRImR+y4oa2AntrgID95SHJxuMUrkNXmanDSed71sRNZysveJVt1hLLemQZIady0FpEg=="
-    },
-    "node_modules/@types/d3-axis": {
-      "version": "3.0.6",
-      "resolved": "https://registry.npmjs.org/@types/d3-axis/-/d3-axis-3.0.6.tgz",
-      "integrity": "sha512-pYeijfZuBd87T0hGn0FO1vQ/cgLk6E1ALJjfkC0oJ8cbwkZl3TpgS8bVBLZN+2jjGgg38epgxb2zmoGtSfvgMw==",
-      "dependencies": {
-        "@types/d3-selection": "*"
+    "node_modules/character-entities": {
+      "version": "1.2.4",
+      "resolved": "https://registry.npmjs.org/character-entities/-/character-entities-1.2.4.tgz",
+      "integrity": "sha512-iBMyeEHxfVnIakwOuDXpVkc54HijNgCyQB2w0VfGQThle6NXn50zU6V/u+LDhxHcDUPojn6Kpga3PTAD8W1bQw==",
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/wooorm"
       }
     },
-    "node_modules/@types/d3-brush": {
-      "version": "3.0.6",
-      "resolved": "https://registry.npmjs.org/@types/d3-brush/-/d3-brush-3.0.6.tgz",
-      "integrity": "sha512-nH60IZNNxEcrh6L1ZSMNA28rj27ut/2ZmI3r96Zd+1jrZD++zD3LsMIjWlvg4AYrHn/Pqz4CF3veCxGjtbqt7A==",
-      "dependencies": {
-        "@types/d3-selection": "*"
+    "node_modules/character-entities-legacy": {
+      "version": "1.1.4",
+      "resolved": "https://registry.npmjs.org/character-entities-legacy/-/character-entities-legacy-1.1.4.tgz",
+      "integrity": "sha512-3Xnr+7ZFS1uxeiUDvV02wQ+QDbc55o97tIV5zHScSPJpcLm/r0DFPcoY3tYRp+VZukxuMeKgXYmsXQHO05zQeA==",
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/wooorm"
       }
     },
-    "node_modules/@types/d3-chord": {
-      "version": "3.0.6",
-      "resolved": "https://registry.npmjs.org/@types/d3-chord/-/d3-chord-3.0.6.tgz",
-      "integrity": "sha512-LFYWWd8nwfwEmTZG9PfQxd17HbNPksHBiJHaKuY1XeqscXacsS2tyoo6OdRsjf+NQYeB6XrNL3a25E3gH69lcg=="
+    "node_modules/character-reference-invalid": {
+      "version": "1.1.4",
+      "resolved": "https://registry.npmjs.org/character-reference-invalid/-/character-reference-invalid-1.1.4.tgz",
+      "integrity": "sha512-mKKUkUbhPpQlCOfIuZkvSEgktjPFIsZKRRbC6KWVEMvlzblj3i3asQv5ODsrwt0N3pHAEvjP8KTQPHkp0+6jOg==",
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/wooorm"
+      }
     },
-    "node_modules/@types/d3-color": {
-      "version": "3.1.3",
-      "resolved": "https://registry.npmjs.org/@types/d3-color/-/d3-color-3.1.3.tgz",
-      "integrity": "sha512-iO90scth9WAbmgv7ogoq57O9YpKmFBbmoEoCHDB2xMBY0+/KVrqAaCDyCE16dUspeOvIxFFRI+0sEtqDqy2b4A=="
+    "node_modules/chokidar": {
+      "version": "3.6.0",
+      "resolved": "https://registry.npmjs.org/chokidar/-/chokidar-3.6.0.tgz",
+      "integrity": "sha512-7VT13fmjotKpGipCW9JEQAusEPE+Ei8nl6/g4FBAmIm0GOOLMua9NDDo/DWp0ZAxCr3cPq5ZpBqmPAQgDda2Pw==",
+      "dependencies": {
+        "anymatch": "~3.1.2",
+        "braces": "~3.0.2",
+        "glob-parent": "~5.1.2",
+        "is-binary-path": "~2.1.0",
+        "is-glob": "~4.0.1",
+        "normalize-path": "~3.0.0",
+        "readdirp": "~3.6.0"
+      },
+      "engines": {
+        "node": ">= 8.10.0"
+      },
+      "funding": {
+        "url": "https://paulmillr.com/funding/"
+      },
+      "optionalDependencies": {
+        "fsevents": "~2.3.2"
+      }
     },
-    "node_modules/@types/d3-contour": {
-      "version": "3.0.6",
-      "resolved": "https://registry.npmjs.org/@types/d3-contour/-/d3-contour-3.0.6.tgz",
-      "integrity": "sha512-BjzLgXGnCWjUSYGfH1cpdo41/hgdWETu4YxpezoztawmqsvCeep+8QGfiY6YbDvfgHz/DkjeIkkZVJavB4a3rg==",
+    "node_modules/chokidar/node_modules/glob-parent": {
+      "version": "5.1.2",
+      "resolved": "https://registry.npmjs.org/glob-parent/-/glob-parent-5.1.2.tgz",
+      "integrity": "sha512-AOIgSQCepiJYwP3ARnGx+5VnTu2HBYdzbGP45eLw1vr3zB3vZLeyed1sC9hnbcOc9/SrMyM5RPQrkGz4aS9Zow==",
       "dependencies": {
-        "@types/d3-array": "*",
-        "@types/geojson": "*"
+        "is-glob": "^4.0.1"
+      },
+      "engines": {
+        "node": ">= 6"
       }
     },
-    "node_modules/@types/d3-delaunay": {
-      "version": "6.0.4",
-      "resolved": "https://registry.npmjs.org/@types/d3-delaunay/-/d3-delaunay-6.0.4.tgz",
-      "integrity": "sha512-ZMaSKu4THYCU6sV64Lhg6qjf1orxBthaC161plr5KuPHo3CNm8DTHiLw/5Eq2b6TsNP0W0iJrUOFscY6Q450Hw=="
+    "node_modules/chownr": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/chownr/-/chownr-2.0.0.tgz",
+      "integrity": "sha512-bIomtDF5KGpdogkLd9VspvFzk9KfpyyGlS8YFVZl7TGPBHL5snIOnxeshwVgPteQ9b4Eydl+pVbIyE1DcvCWgQ==",
+      "optional": true,
+      "engines": {
+        "node": ">=10"
+      }
     },
-    "node_modules/@types/d3-dispatch": {
-      "version": "3.0.6",
-      "resolved": "https://registry.npmjs.org/@types/d3-dispatch/-/d3-dispatch-3.0.6.tgz",
-      "integrity": "sha512-4fvZhzMeeuBJYZXRXrRIQnvUYfyXwYmLsdiN7XXmVNQKKw1cM8a5WdID0g1hVFZDqT9ZqZEY5pD44p24VS7iZQ=="
+    "node_modules/ci-info": {
+      "version": "3.9.0",
+      "resolved": "https://registry.npmjs.org/ci-info/-/ci-info-3.9.0.tgz",
+      "integrity": "sha512-NIxF55hv4nSqQswkAeiOi1r83xy8JldOFDTWiug55KBu9Jnblncd2U6ViHmYgHf01TPZS77NJBhBMKdWj9HQMQ==",
+      "dev": true,
+      "funding": [
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/sibiraj-s"
+        }
+      ],
+      "engines": {
+        "node": ">=8"
+      }
     },
-    "node_modules/@types/d3-drag": {
-      "version": "3.0.7",
-      "resolved": "https://registry.npmjs.org/@types/d3-drag/-/d3-drag-3.0.7.tgz",
-      "integrity": "sha512-HE3jVKlzU9AaMazNufooRJ5ZpWmLIoc90A37WU2JMmeq28w1FQqCZswHZ3xR+SuxYftzHq6WU6KJHvqxKzTxxQ==",
+    "node_modules/class-variance-authority": {
+      "version": "0.7.0",
+      "resolved": "https://registry.npmjs.org/class-variance-authority/-/class-variance-authority-0.7.0.tgz",
+      "integrity": "sha512-jFI8IQw4hczaL4ALINxqLEXQbWcNjoSkloa4IaufXCJr6QawJyw7tuRysRsrE8w2p/4gGaxKIt/hX3qz/IbD1A==",
       "dependencies": {
-        "@types/d3-selection": "*"
+        "clsx": "2.0.0"
+      },
+      "funding": {
+        "url": "https://joebell.co.uk"
       }
     },
-    "node_modules/@types/d3-dsv": {
-      "version": "3.0.7",
-      "resolved": "https://registry.npmjs.org/@types/d3-dsv/-/d3-dsv-3.0.7.tgz",
-      "integrity": "sha512-n6QBF9/+XASqcKK6waudgL0pf/S5XHPPI8APyMLLUHd8NqouBGLsU8MgtO7NINGtPBtk9Kko/W4ea0oAspwh9g=="
+    "node_modules/class-variance-authority/node_modules/clsx": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/clsx/-/clsx-2.0.0.tgz",
+      "integrity": "sha512-rQ1+kcj+ttHG0MKVGBUXwayCCF1oh39BF5COIpRzuCEv8Mwjv0XucrI2ExNTOn9IlLifGClWQcU9BrZORvtw6Q==",
+      "engines": {
+        "node": ">=6"
+      }
     },
-    "node_modules/@types/d3-ease": {
-      "version": "3.0.2",
-      "resolved": "https://registry.npmjs.org/@types/d3-ease/-/d3-ease-3.0.2.tgz",
-      "integrity": "sha512-NcV1JjO5oDzoK26oMzbILE6HW7uVXOHLQvHshBUW4UMdZGfiY6v5BeQwh9a9tCzv+CeefZQHJt5SRgK154RtiA=="
+    "node_modules/classcat": {
+      "version": "5.0.5",
+      "resolved": "https://registry.npmjs.org/classcat/-/classcat-5.0.5.tgz",
+      "integrity": "sha512-JhZUT7JFcQy/EzW605k/ktHtncoo9vnyW/2GspNYwFlN1C/WmjuV/xtS04e9SOkL2sTdw0VAZ2UGCcQ9lR6p6w=="
     },
-    "node_modules/@types/d3-fetch": {
-      "version": "3.0.7",
-      "resolved": "https://registry.npmjs.org/@types/d3-fetch/-/d3-fetch-3.0.7.tgz",
-      "integrity": "sha512-fTAfNmxSb9SOWNB9IoG5c8Hg6R+AzUHDRlsXsDZsNp6sxAEOP0tkP3gKkNSO/qmHPoBFTxNrjDprVHDQDvo5aA==",
+    "node_modules/cli-cursor": {
+      "version": "4.0.0",
+      "resolved": "https://registry.npmjs.org/cli-cursor/-/cli-cursor-4.0.0.tgz",
+      "integrity": "sha512-VGtlMu3x/4DOtIUwEkRezxUZ2lBacNJCHash0N0WeZDBS+7Ux1dm3XWAgWYxLJFMMdOeXMHXorshEFhbMSGelg==",
       "dependencies": {
-        "@types/d3-dsv": "*"
+        "restore-cursor": "^4.0.0"
+      },
+      "engines": {
+        "node": "^12.20.0 || ^14.13.1 || >=16.0.0"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
       }
     },
-    "node_modules/@types/d3-force": {
-      "version": "3.0.9",
-      "resolved": "https://registry.npmjs.org/@types/d3-force/-/d3-force-3.0.9.tgz",
-      "integrity": "sha512-IKtvyFdb4Q0LWna6ymywQsEYjK/94SGhPrMfEr1TIc5OBeziTi+1jcCvttts8e0UWZIxpasjnQk9MNk/3iS+kA=="
-    },
-    "node_modules/@types/d3-format": {
-      "version": "3.0.4",
-      "resolved": "https://registry.npmjs.org/@types/d3-format/-/d3-format-3.0.4.tgz",
-      "integrity": "sha512-fALi2aI6shfg7vM5KiR1wNJnZ7r6UuggVqtDA+xiEdPZQwy/trcQaHnwShLuLdta2rTymCNpxYTiMZX/e09F4g=="
-    },
-    "node_modules/@types/d3-geo": {
-      "version": "3.1.0",
-      "resolved": "https://registry.npmjs.org/@types/d3-geo/-/d3-geo-3.1.0.tgz",
-      "integrity": "sha512-856sckF0oP/diXtS4jNsiQw/UuK5fQG8l/a9VVLeSouf1/PPbBE1i1W852zVwKwYCBkFJJB7nCFTbk6UMEXBOQ==",
+    "node_modules/cli-high": {
+      "version": "0.4.2",
+      "resolved": "https://registry.npmjs.org/cli-high/-/cli-high-0.4.2.tgz",
+      "integrity": "sha512-q/CIxOggmzAw/67QYS4j1bMo72IpC+dAlswZl8xHxp8XvmWS97x3Q30pWNXq8mg0pZLSJwIFWZpUWTfcF119wA==",
       "dependencies": {
-        "@types/geojson": "*"
+        "@clack/prompts": "^0.7.0",
+        "sugar-high": "^0.6.1",
+        "xycolors": "^0.1.1",
+        "yargs": "^17.7.2"
+      },
+      "bin": {
+        "cli-high": "bin/index.js"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/xinyao27"
       }
     },
-    "node_modules/@types/d3-hierarchy": {
-      "version": "3.1.6",
-      "resolved": "https://registry.npmjs.org/@types/d3-hierarchy/-/d3-hierarchy-3.1.6.tgz",
-      "integrity": "sha512-qlmD/8aMk5xGorUvTUWHCiumvgaUXYldYjNVOWtYoTYY/L+WwIEAmJxUmTgr9LoGNG0PPAOmqMDJVDPc7DOpPw=="
+    "node_modules/cli-spinners": {
+      "version": "2.9.2",
+      "resolved": "https://registry.npmjs.org/cli-spinners/-/cli-spinners-2.9.2.tgz",
+      "integrity": "sha512-ywqV+5MmyL4E7ybXgKys4DugZbX0FC6LnwrhjuykIjnK9k8OQacQ7axGKnjDXWNhns0xot3bZI5h55H8yo9cJg==",
+      "engines": {
+        "node": ">=6"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
+      }
     },
-    "node_modules/@types/d3-interpolate": {
-      "version": "3.0.4",
-      "resolved": "https://registry.npmjs.org/@types/d3-interpolate/-/d3-interpolate-3.0.4.tgz",
-      "integrity": "sha512-mgLPETlrpVV1YRJIglr4Ez47g7Yxjl1lj7YKsiMCb27VJH9W8NVM6Bb9d8kkpG/uAQS5AmbA48q2IAolKKo1MA==",
+    "node_modules/cliui": {
+      "version": "8.0.1",
+      "resolved": "https://registry.npmjs.org/cliui/-/cliui-8.0.1.tgz",
+      "integrity": "sha512-BSeNnyus75C4//NQ9gQt1/csTXyo/8Sb+afLAkzAptFuMsod9HFokGNudZpi/oQV73hnVK+sR+5PVRMd+Dr7YQ==",
       "dependencies": {
-        "@types/d3-color": "*"
+        "string-width": "^4.2.0",
+        "strip-ansi": "^6.0.1",
+        "wrap-ansi": "^7.0.0"
+      },
+      "engines": {
+        "node": ">=12"
       }
     },
-    "node_modules/@types/d3-path": {
-      "version": "3.0.2",
-      "resolved": "https://registry.npmjs.org/@types/d3-path/-/d3-path-3.0.2.tgz",
-      "integrity": "sha512-WAIEVlOCdd/NKRYTsqCpOMHQHemKBEINf8YXMYOtXH0GA7SY0dqMB78P3Uhgfy+4X+/Mlw2wDtlETkN6kQUCMA=="
-    },
-    "node_modules/@types/d3-polygon": {
-      "version": "3.0.2",
-      "resolved": "https://registry.npmjs.org/@types/d3-polygon/-/d3-polygon-3.0.2.tgz",
-      "integrity": "sha512-ZuWOtMaHCkN9xoeEMr1ubW2nGWsp4nIql+OPQRstu4ypeZ+zk3YKqQT0CXVe/PYqrKpZAi+J9mTs05TKwjXSRA=="
-    },
-    "node_modules/@types/d3-quadtree": {
-      "version": "3.0.6",
-      "resolved": "https://registry.npmjs.org/@types/d3-quadtree/-/d3-quadtree-3.0.6.tgz",
-      "integrity": "sha512-oUzyO1/Zm6rsxKRHA1vH0NEDG58HrT5icx/azi9MF1TWdtttWl0UIUsjEQBBh+SIkrpd21ZjEv7ptxWys1ncsg=="
-    },
-    "node_modules/@types/d3-random": {
-      "version": "3.0.3",
-      "resolved": "https://registry.npmjs.org/@types/d3-random/-/d3-random-3.0.3.tgz",
-      "integrity": "sha512-Imagg1vJ3y76Y2ea0871wpabqp613+8/r0mCLEBfdtqC7xMSfj9idOnmBYyMoULfHePJyxMAw3nWhJxzc+LFwQ=="
+    "node_modules/clone": {
+      "version": "1.0.4",
+      "resolved": "https://registry.npmjs.org/clone/-/clone-1.0.4.tgz",
+      "integrity": "sha512-JQHZ2QMW6l3aH/j6xCqQThY/9OH4D/9ls34cgkUBiEeocRTU04tHfKPBsUK1PqZCUQM7GiA0IIXJSuXHI64Kbg==",
+      "engines": {
+        "node": ">=0.8"
+      }
     },
-    "node_modules/@types/d3-scale": {
-      "version": "4.0.8",
-      "resolved": "https://registry.npmjs.org/@types/d3-scale/-/d3-scale-4.0.8.tgz",
-      "integrity": "sha512-gkK1VVTr5iNiYJ7vWDI+yUFFlszhNMtVeneJ6lUTKPjprsvLLI9/tgEGiXJOnlINJA8FyA88gfnQsHbybVZrYQ==",
+    "node_modules/clone-response": {
+      "version": "1.0.3",
+      "resolved": "https://registry.npmjs.org/clone-response/-/clone-response-1.0.3.tgz",
+      "integrity": "sha512-ROoL94jJH2dUVML2Y/5PEDNaSHgeOdSDicUyS7izcF63G6sTc/FTjLub4b8Il9S8S0beOfYt0TaA5qvFK+w0wA==",
+      "dev": true,
       "dependencies": {
-        "@types/d3-time": "*"
+        "mimic-response": "^1.0.0"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
       }
     },
-    "node_modules/@types/d3-scale-chromatic": {
-      "version": "3.0.3",
-      "resolved": "https://registry.npmjs.org/@types/d3-scale-chromatic/-/d3-scale-chromatic-3.0.3.tgz",
-      "integrity": "sha512-laXM4+1o5ImZv3RpFAsTRn3TEkzqkytiOY0Dz0sq5cnd1dtNlk6sHLon4OvqaiJb28T0S/TdsBI3Sjsy+keJrw=="
-    },
-    "node_modules/@types/d3-selection": {
-      "version": "3.0.10",
-      "resolved": "https://registry.npmjs.org/@types/d3-selection/-/d3-selection-3.0.10.tgz",
-      "integrity": "sha512-cuHoUgS/V3hLdjJOLTT691+G2QoqAjCVLmr4kJXR4ha56w1Zdu8UUQ5TxLRqudgNjwXeQxKMq4j+lyf9sWuslg=="
+    "node_modules/clsx": {
+      "version": "2.1.1",
+      "resolved": "https://registry.npmjs.org/clsx/-/clsx-2.1.1.tgz",
+      "integrity": "sha512-eYm0QWBtUrBWZWG0d386OGAw16Z995PiOVo2B7bjWSbHedGl5e0ZWaq65kOGgUSNesEIDkB9ISbTg/JK9dhCZA==",
+      "engines": {
+        "node": ">=6"
+      }
     },
-    "node_modules/@types/d3-shape": {
-      "version": "3.1.6",
-      "resolved": "https://registry.npmjs.org/@types/d3-shape/-/d3-shape-3.1.6.tgz",
-      "integrity": "sha512-5KKk5aKGu2I+O6SONMYSNflgiP0WfZIQvVUMan50wHsLG1G94JlxEVnCpQARfTtzytuY0p/9PXXZb3I7giofIA==",
+    "node_modules/cmdk": {
+      "version": "1.0.0",
+      "resolved": "https://registry.npmjs.org/cmdk/-/cmdk-1.0.0.tgz",
+      "integrity": "sha512-gDzVf0a09TvoJ5jnuPvygTB77+XdOSwEmJ88L6XPFPlv7T3RxbP9jgenfylrAMD0+Le1aO0nVjQUzl2g+vjz5Q==",
       "dependencies": {
-        "@types/d3-path": "*"
+        "@radix-ui/react-dialog": "1.0.5",
+        "@radix-ui/react-primitive": "1.0.3"
+      },
+      "peerDependencies": {
+        "react": "^18.0.0",
+        "react-dom": "^18.0.0"
       }
     },
-    "node_modules/@types/d3-time": {
-      "version": "3.0.3",
-      "resolved": "https://registry.npmjs.org/@types/d3-time/-/d3-time-3.0.3.tgz",
-      "integrity": "sha512-2p6olUZ4w3s+07q3Tm2dbiMZy5pCDfYwtLXXHUnVzXgQlZ/OyPtUz6OL382BkOuGlLXqfT+wqv8Fw2v8/0geBw=="
+    "node_modules/cmdk/node_modules/@radix-ui/primitive": {
+      "version": "1.0.1",
+      "resolved": "https://registry.npmjs.org/@radix-ui/primitive/-/primitive-1.0.1.tgz",
+      "integrity": "sha512-yQ8oGX2GVsEYMWGxcovu1uGWPCxV5BFfeeYxqPmuAzUyLT9qmaMXSAhXpb0WrspIeqYzdJpkh2vHModJPgRIaw==",
+      "dependencies": {
+        "@babel/runtime": "^7.13.10"
+      }
     },
-    "node_modules/@types/d3-time-format": {
-      "version": "4.0.3",
-      "resolved": "https://registry.npmjs.org/@types/d3-time-format/-/d3-time-format-4.0.3.tgz",
-      "integrity": "sha512-5xg9rC+wWL8kdDj153qZcsJ0FWiFt0J5RB6LYUNZjwSnesfblqrI/bJ1wBdJ8OQfncgbJG5+2F+qfqnqyzYxyg=="
+    "node_modules/cmdk/node_modules/@radix-ui/react-compose-refs": {
+      "version": "1.0.1",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-compose-refs/-/react-compose-refs-1.0.1.tgz",
+      "integrity": "sha512-fDSBgd44FKHa1FRMU59qBMPFcl2PZE+2nmqunj+BWFyYYjnhIDWL2ItDs3rrbJDQOtzt5nIebLCQc4QRfz6LJw==",
+      "dependencies": {
+        "@babel/runtime": "^7.13.10"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "react": "^16.8 || ^17.0 || ^18.0"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        }
+      }
     },
-    "node_modules/@types/d3-timer": {
-      "version": "3.0.2",
-      "resolved": "https://registry.npmjs.org/@types/d3-timer/-/d3-timer-3.0.2.tgz",
-      "integrity": "sha512-Ps3T8E8dZDam6fUyNiMkekK3XUsaUEik+idO9/YjPtfj2qruF8tFBXS7XhtE4iIXBLxhmLjP3SXpLhVf21I9Lw=="
+    "node_modules/cmdk/node_modules/@radix-ui/react-context": {
+      "version": "1.0.1",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-context/-/react-context-1.0.1.tgz",
+      "integrity": "sha512-ebbrdFoYTcuZ0v4wG5tedGnp9tzcV8awzsxYph7gXUyvnNLuTIcCk1q17JEbnVhXAKG9oX3KtchwiMIAYp9NLg==",
+      "dependencies": {
+        "@babel/runtime": "^7.13.10"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "react": "^16.8 || ^17.0 || ^18.0"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        }
+      }
     },
-    "node_modules/@types/d3-transition": {
-      "version": "3.0.8",
-      "resolved": "https://registry.npmjs.org/@types/d3-transition/-/d3-transition-3.0.8.tgz",
-      "integrity": "sha512-ew63aJfQ/ms7QQ4X7pk5NxQ9fZH/z+i24ZfJ6tJSfqxJMrYLiK01EAs2/Rtw/JreGUsS3pLPNV644qXFGnoZNQ==",
+    "node_modules/cmdk/node_modules/@radix-ui/react-dialog": {
+      "version": "1.0.5",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-dialog/-/react-dialog-1.0.5.tgz",
+      "integrity": "sha512-GjWJX/AUpB703eEBanuBnIWdIXg6NvJFCXcNlSZk4xdszCdhrJgBoUd1cGk67vFO+WdA2pfI/plOpqz/5GUP6Q==",
       "dependencies": {
-        "@types/d3-selection": "*"
+        "@babel/runtime": "^7.13.10",
+        "@radix-ui/primitive": "1.0.1",
+        "@radix-ui/react-compose-refs": "1.0.1",
+        "@radix-ui/react-context": "1.0.1",
+        "@radix-ui/react-dismissable-layer": "1.0.5",
+        "@radix-ui/react-focus-guards": "1.0.1",
+        "@radix-ui/react-focus-scope": "1.0.4",
+        "@radix-ui/react-id": "1.0.1",
+        "@radix-ui/react-portal": "1.0.4",
+        "@radix-ui/react-presence": "1.0.1",
+        "@radix-ui/react-primitive": "1.0.3",
+        "@radix-ui/react-slot": "1.0.2",
+        "@radix-ui/react-use-controllable-state": "1.0.1",
+        "aria-hidden": "^1.1.1",
+        "react-remove-scroll": "2.5.5"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "@types/react-dom": "*",
+        "react": "^16.8 || ^17.0 || ^18.0",
+        "react-dom": "^16.8 || ^17.0 || ^18.0"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        },
+        "@types/react-dom": {
+          "optional": true
+        }
       }
     },
-    "node_modules/@types/d3-zoom": {
-      "version": "3.0.8",
-      "resolved": "https://registry.npmjs.org/@types/d3-zoom/-/d3-zoom-3.0.8.tgz",
-      "integrity": "sha512-iqMC4/YlFCSlO8+2Ii1GGGliCAY4XdeG748w5vQUbevlbDu0zSjH/+jojorQVBK/se0j6DUFNPBGSqD3YWYnDw==",
+    "node_modules/cmdk/node_modules/@radix-ui/react-dismissable-layer": {
+      "version": "1.0.5",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-dismissable-layer/-/react-dismissable-layer-1.0.5.tgz",
+      "integrity": "sha512-aJeDjQhywg9LBu2t/At58hCvr7pEm0o2Ke1x33B+MhjNmmZ17sy4KImo0KPLgsnc/zN7GPdce8Cnn0SWvwZO7g==",
       "dependencies": {
-        "@types/d3-interpolate": "*",
-        "@types/d3-selection": "*"
+        "@babel/runtime": "^7.13.10",
+        "@radix-ui/primitive": "1.0.1",
+        "@radix-ui/react-compose-refs": "1.0.1",
+        "@radix-ui/react-primitive": "1.0.3",
+        "@radix-ui/react-use-callback-ref": "1.0.1",
+        "@radix-ui/react-use-escape-keydown": "1.0.3"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "@types/react-dom": "*",
+        "react": "^16.8 || ^17.0 || ^18.0",
+        "react-dom": "^16.8 || ^17.0 || ^18.0"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        },
+        "@types/react-dom": {
+          "optional": true
+        }
       }
     },
-    "node_modules/@types/debug": {
-      "version": "4.1.12",
-      "resolved": "https://registry.npmjs.org/@types/debug/-/debug-4.1.12.tgz",
-      "integrity": "sha512-vIChWdVG3LG1SMxEvI/AK+FWJthlrqlTu7fbrlywTkkaONwk/UAGaULXRlf8vkzFBLVm0zkMdCquhL5aOjhXPQ==",
+    "node_modules/cmdk/node_modules/@radix-ui/react-focus-guards": {
+      "version": "1.0.1",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-focus-guards/-/react-focus-guards-1.0.1.tgz",
+      "integrity": "sha512-Rect2dWbQ8waGzhMavsIbmSVCgYxkXLxxR3ZvCX79JOglzdEy4JXMb98lq4hPxUbLr77nP0UOGf4rcMU+s1pUA==",
       "dependencies": {
-        "@types/ms": "*"
+        "@babel/runtime": "^7.13.10"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "react": "^16.8 || ^17.0 || ^18.0"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        }
       }
     },
-    "node_modules/@types/estree": {
-      "version": "1.0.5",
-      "resolved": "https://registry.npmjs.org/@types/estree/-/estree-1.0.5.tgz",
-      "integrity": "sha512-/kYRxGDLWzHOB7q+wtSUQlFrtcdUccpfy+X+9iMBpHK8QLLhx2wIPYuS5DYtR9Wa/YlZAbIovy7qVdB1Aq6Lyw=="
-    },
-    "node_modules/@types/geojson": {
-      "version": "7946.0.14",
-      "resolved": "https://registry.npmjs.org/@types/geojson/-/geojson-7946.0.14.tgz",
-      "integrity": "sha512-WCfD5Ht3ZesJUsONdhvm84dmzWOiOzOAqOncN0++w0lBw1o8OuDNJF2McvvCef/yBqb/HYRahp1BYtODFQ8bRg=="
-    },
-    "node_modules/@types/hast": {
-      "version": "2.3.10",
-      "resolved": "https://registry.npmjs.org/@types/hast/-/hast-2.3.10.tgz",
-      "integrity": "sha512-McWspRw8xx8J9HurkVBfYj0xKoE25tOFlHGdx4MJ5xORQrMGZNqJhVQWaIbm6Oyla5kYOXtDiopzKRJzEOkwJw==",
+    "node_modules/cmdk/node_modules/@radix-ui/react-focus-scope": {
+      "version": "1.0.4",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-focus-scope/-/react-focus-scope-1.0.4.tgz",
+      "integrity": "sha512-sL04Mgvf+FmyvZeYfNu1EPAaaxD+aw7cYeIB9L9Fvq8+urhltTRaEo5ysKOpHuKPclsZcSUMKlN05x4u+CINpA==",
       "dependencies": {
-        "@types/unist": "^2"
+        "@babel/runtime": "^7.13.10",
+        "@radix-ui/react-compose-refs": "1.0.1",
+        "@radix-ui/react-primitive": "1.0.3",
+        "@radix-ui/react-use-callback-ref": "1.0.1"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "@types/react-dom": "*",
+        "react": "^16.8 || ^17.0 || ^18.0",
+        "react-dom": "^16.8 || ^17.0 || ^18.0"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        },
+        "@types/react-dom": {
+          "optional": true
+        }
       }
     },
-    "node_modules/@types/hoist-non-react-statics": {
-      "version": "3.3.5",
-      "resolved": "https://registry.npmjs.org/@types/hoist-non-react-statics/-/hoist-non-react-statics-3.3.5.tgz",
-      "integrity": "sha512-SbcrWzkKBw2cdwRTwQAswfpB9g9LJWfjtUeW/jvNwbhC8cpmmNYVePa+ncbUe0rGTQ7G3Ff6mYUN2VMfLVr+Sg==",
+    "node_modules/cmdk/node_modules/@radix-ui/react-id": {
+      "version": "1.0.1",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-id/-/react-id-1.0.1.tgz",
+      "integrity": "sha512-tI7sT/kqYp8p96yGWY1OAnLHrqDgzHefRBKQ2YAkBS5ja7QLcZ9Z/uY7bEjPUatf8RomoXM8/1sMj1IJaE5UzQ==",
       "dependencies": {
+        "@babel/runtime": "^7.13.10",
+        "@radix-ui/react-use-layout-effect": "1.0.1"
+      },
+      "peerDependencies": {
         "@types/react": "*",
-        "hoist-non-react-statics": "^3.3.0"
+        "react": "^16.8 || ^17.0 || ^18.0"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        }
       }
     },
-    "node_modules/@types/http-cache-semantics": {
-      "version": "4.0.4",
-      "resolved": "https://registry.npmjs.org/@types/http-cache-semantics/-/http-cache-semantics-4.0.4.tgz",
-      "integrity": "sha512-1m0bIFVc7eJWyve9S0RnuRgcQqF/Xd5QsUZAZeQFr1Q3/p9JWoQQEqmVy+DPTNpGXwhgIetAoYF8JSc33q29QA==",
-      "dev": true
-    },
-    "node_modules/@types/jest": {
-      "version": "27.5.2",
-      "resolved": "https://registry.npmjs.org/@types/jest/-/jest-27.5.2.tgz",
-      "integrity": "sha512-mpT8LJJ4CMeeahobofYWIjFo0xonRS/HfxnVEPMPFSQdGUt1uHCnoPT7Zhb+sjDU2wz0oKV0OLUR0WzrHNgfeA==",
-      "dev": true,
+    "node_modules/cmdk/node_modules/@radix-ui/react-portal": {
+      "version": "1.0.4",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-portal/-/react-portal-1.0.4.tgz",
+      "integrity": "sha512-Qki+C/EuGUVCQTOTD5vzJzJuMUlewbzuKyUy+/iHM2uwGiru9gZeBJtHAPKAEkB5KWGi9mP/CHKcY0wt1aW45Q==",
       "dependencies": {
-        "jest-matcher-utils": "^27.0.0",
-        "pretty-format": "^27.0.0"
+        "@babel/runtime": "^7.13.10",
+        "@radix-ui/react-primitive": "1.0.3"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "@types/react-dom": "*",
+        "react": "^16.8 || ^17.0 || ^18.0",
+        "react-dom": "^16.8 || ^17.0 || ^18.0"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        },
+        "@types/react-dom": {
+          "optional": true
+        }
       }
     },
-    "node_modules/@types/katex": {
-      "version": "0.16.7",
-      "resolved": "https://registry.npmjs.org/@types/katex/-/katex-0.16.7.tgz",
-      "integrity": "sha512-HMwFiRujE5PjrgwHQ25+bsLJgowjGjm5Z8FVSf0N6PwgJrwxH0QxzHYDcKsTfV3wva0vzrpqMTJS2jXPr5BMEQ=="
-    },
-    "node_modules/@types/keyv": {
-      "version": "3.1.4",
-      "resolved": "https://registry.npmjs.org/@types/keyv/-/keyv-3.1.4.tgz",
-      "integrity": "sha512-BQ5aZNSCpj7D6K2ksrRCTmKRLEpnPvWDiLPfoGyhZ++8YtiK9d/3DBKPJgry359X/P1PfruyYwvnvwFjuEiEIg==",
-      "dev": true,
+    "node_modules/cmdk/node_modules/@radix-ui/react-presence": {
+      "version": "1.0.1",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-presence/-/react-presence-1.0.1.tgz",
+      "integrity": "sha512-UXLW4UAbIY5ZjcvzjfRFo5gxva8QirC9hF7wRE4U5gz+TP0DbRk+//qyuAQ1McDxBt1xNMBTaciFGvEmJvAZCg==",
       "dependencies": {
-        "@types/node": "*"
+        "@babel/runtime": "^7.13.10",
+        "@radix-ui/react-compose-refs": "1.0.1",
+        "@radix-ui/react-use-layout-effect": "1.0.1"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "@types/react-dom": "*",
+        "react": "^16.8 || ^17.0 || ^18.0",
+        "react-dom": "^16.8 || ^17.0 || ^18.0"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        },
+        "@types/react-dom": {
+          "optional": true
+        }
       }
     },
-    "node_modules/@types/lodash": {
-      "version": "4.14.202",
-      "resolved": "https://registry.npmjs.org/@types/lodash/-/lodash-4.14.202.tgz",
-      "integrity": "sha512-OvlIYQK9tNneDlS0VN54LLd5uiPCBOp7gS5Z0f1mjoJYBrtStzgmJBxONW3U6OZqdtNzZPmn9BS/7WI7BFFcFQ==",
-      "dev": true
-    },
-    "node_modules/@types/mathjax": {
-      "version": "0.0.37",
-      "resolved": "https://registry.npmjs.org/@types/mathjax/-/mathjax-0.0.37.tgz",
-      "integrity": "sha512-y0WSZBtBNQwcYipTU/BhgeFu1EZNlFvUNCmkMXV9kBQZq7/o5z82dNVyH3yy2Xv5zzeNeQoHSL4Xm06+EQiH+g=="
-    },
-    "node_modules/@types/mdast": {
-      "version": "3.0.15",
-      "resolved": "https://registry.npmjs.org/@types/mdast/-/mdast-3.0.15.tgz",
-      "integrity": "sha512-LnwD+mUEfxWMa1QpDraczIn6k0Ee3SMicuYSSzS6ZYl2gKS09EClnJYGd8Du6rfc5r/GZEk5o1mRb8TaTj03sQ==",
+    "node_modules/cmdk/node_modules/@radix-ui/react-primitive": {
+      "version": "1.0.3",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-primitive/-/react-primitive-1.0.3.tgz",
+      "integrity": "sha512-yi58uVyoAcK/Nq1inRY56ZSjKypBNKTa/1mcL8qdl6oJeEaDbOldlzrGn7P6Q3Id5d+SYNGc5AJgc4vGhjs5+g==",
       "dependencies": {
-        "@types/unist": "^2"
+        "@babel/runtime": "^7.13.10",
+        "@radix-ui/react-slot": "1.0.2"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "@types/react-dom": "*",
+        "react": "^16.8 || ^17.0 || ^18.0",
+        "react-dom": "^16.8 || ^17.0 || ^18.0"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        },
+        "@types/react-dom": {
+          "optional": true
+        }
       }
     },
-    "node_modules/@types/ms": {
-      "version": "0.7.34",
-      "resolved": "https://registry.npmjs.org/@types/ms/-/ms-0.7.34.tgz",
-      "integrity": "sha512-nG96G3Wp6acyAgJqGasjODb+acrI7KltPiRxzHPXnP3NgI28bpQDRv53olbqGXbfcgF5aiiHmO3xpwEpS5Ld9g=="
-    },
-    "node_modules/@types/node": {
-      "version": "16.18.79",
-      "resolved": "https://registry.npmjs.org/@types/node/-/node-16.18.79.tgz",
-      "integrity": "sha512-Qd7jdLR5zmnIyMhfDrfPqN5tUCvreVpP3Qrf2oSM+F7SNzlb/MwHISGUkdFHtevfkPJ3iAGyeQI/jsbh9EStgQ==",
-      "devOptional": true
-    },
-    "node_modules/@types/parse-json": {
-      "version": "4.0.2",
-      "resolved": "https://registry.npmjs.org/@types/parse-json/-/parse-json-4.0.2.tgz",
-      "integrity": "sha512-dISoDXWWQwUquiKsyZ4Ng+HX2KsPL7LyHKHQwgGFEA3IaKac4Obd+h2a/a6waisAoepJlBcx9paWqjA8/HVjCw=="
-    },
-    "node_modules/@types/prop-types": {
-      "version": "15.7.11",
-      "resolved": "https://registry.npmjs.org/@types/prop-types/-/prop-types-15.7.11.tgz",
-      "integrity": "sha512-ga8y9v9uyeiLdpKddhxYQkxNDrfvuPrlFb0N1qnZZByvcElJaXthF1UhvCh9TLWJBEHeNtdnbysW7Y6Uq8CVng=="
-    },
-    "node_modules/@types/react": {
-      "version": "18.2.55",
-      "resolved": "https://registry.npmjs.org/@types/react/-/react-18.2.55.tgz",
-      "integrity": "sha512-Y2Tz5P4yz23brwm2d7jNon39qoAtMMmalOQv6+fEFt1mT+FcM3D841wDpoUvFXhaYenuROCy3FZYqdTjM7qVyA==",
+    "node_modules/cmdk/node_modules/@radix-ui/react-slot": {
+      "version": "1.0.2",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-slot/-/react-slot-1.0.2.tgz",
+      "integrity": "sha512-YeTpuq4deV+6DusvVUW4ivBgnkHwECUu0BiN43L5UCDFgdhsRUWAghhTF5MbvNTPzmiFOx90asDSUjWuCNapwg==",
       "dependencies": {
-        "@types/prop-types": "*",
-        "@types/scheduler": "*",
-        "csstype": "^3.0.2"
+        "@babel/runtime": "^7.13.10",
+        "@radix-ui/react-compose-refs": "1.0.1"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "react": "^16.8 || ^17.0 || ^18.0"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        }
       }
     },
-    "node_modules/@types/react-dom": {
-      "version": "18.2.18",
-      "resolved": "https://registry.npmjs.org/@types/react-dom/-/react-dom-18.2.18.tgz",
-      "integrity": "sha512-TJxDm6OfAX2KJWJdMEVTwWke5Sc/E/RlnPGvGfS0W7+6ocy2xhDVQVh/KvC2Uf7kACs+gDytdusDSdWfWkaNzw==",
-      "devOptional": true,
+    "node_modules/cmdk/node_modules/@radix-ui/react-use-callback-ref": {
+      "version": "1.0.1",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-use-callback-ref/-/react-use-callback-ref-1.0.1.tgz",
+      "integrity": "sha512-D94LjX4Sp0xJFVaoQOd3OO9k7tpBYNOXdVhkltUbGv2Qb9OXdrg/CpsjlZv7ia14Sylv398LswWBVVu5nqKzAQ==",
       "dependencies": {
-        "@types/react": "*"
+        "@babel/runtime": "^7.13.10"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "react": "^16.8 || ^17.0 || ^18.0"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        }
       }
     },
-    "node_modules/@types/react-transition-group": {
-      "version": "4.4.10",
-      "resolved": "https://registry.npmjs.org/@types/react-transition-group/-/react-transition-group-4.4.10.tgz",
-      "integrity": "sha512-hT/+s0VQs2ojCX823m60m5f0sL5idt9SO6Tj6Dg+rdphGPIeJbJ6CxvBYkgkGKrYeDjvIpKTR38UzmtHJOGW3Q==",
+    "node_modules/cmdk/node_modules/@radix-ui/react-use-controllable-state": {
+      "version": "1.0.1",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-use-controllable-state/-/react-use-controllable-state-1.0.1.tgz",
+      "integrity": "sha512-Svl5GY5FQeN758fWKrjM6Qb7asvXeiZltlT4U2gVfl8Gx5UAv2sMR0LWo8yhsIZh2oQ0eFdZ59aoOOMV7b47VA==",
       "dependencies": {
-        "@types/react": "*"
+        "@babel/runtime": "^7.13.10",
+        "@radix-ui/react-use-callback-ref": "1.0.1"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "react": "^16.8 || ^17.0 || ^18.0"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        }
       }
     },
-    "node_modules/@types/responselike": {
+    "node_modules/cmdk/node_modules/@radix-ui/react-use-escape-keydown": {
       "version": "1.0.3",
-      "resolved": "https://registry.npmjs.org/@types/responselike/-/responselike-1.0.3.tgz",
-      "integrity": "sha512-H/+L+UkTV33uf49PH5pCAUBVPNj2nDBXTN+qS1dOwyyg24l3CcicicCA7ca+HMvJBZcFgl5r8e+RR6elsb4Lyw==",
-      "dev": true,
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-use-escape-keydown/-/react-use-escape-keydown-1.0.3.tgz",
+      "integrity": "sha512-vyL82j40hcFicA+M4Ex7hVkB9vHgSse1ZWomAqV2Je3RleKGO5iM8KMOEtfoSB0PnIelMd2lATjTGMYqN5ylTg==",
       "dependencies": {
-        "@types/node": "*"
+        "@babel/runtime": "^7.13.10",
+        "@radix-ui/react-use-callback-ref": "1.0.1"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "react": "^16.8 || ^17.0 || ^18.0"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        }
       }
     },
-    "node_modules/@types/scheduler": {
-      "version": "0.16.8",
-      "resolved": "https://registry.npmjs.org/@types/scheduler/-/scheduler-0.16.8.tgz",
-      "integrity": "sha512-WZLiwShhwLRmeV6zH+GkbOFT6Z6VklCItrDioxUnv+u4Ll+8vKeFySoFyK/0ctcRpOmwAicELfmys1sDc/Rw+A=="
-    },
-    "node_modules/@types/testing-library__jest-dom": {
-      "version": "5.14.9",
-      "resolved": "https://registry.npmjs.org/@types/testing-library__jest-dom/-/testing-library__jest-dom-5.14.9.tgz",
-      "integrity": "sha512-FSYhIjFlfOpGSRyVoMBMuS3ws5ehFQODymf3vlI7U1K8c7PHwWwFY7VREfmsuzHSOnoKs/9/Y983ayOs7eRzqw==",
-      "dev": true,
+    "node_modules/cmdk/node_modules/@radix-ui/react-use-layout-effect": {
+      "version": "1.0.1",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-use-layout-effect/-/react-use-layout-effect-1.0.1.tgz",
+      "integrity": "sha512-v/5RegiJWYdoCvMnITBkNNx6bCj20fiaJnWtRkU18yITptraXjffz5Qbn05uOiQnOvi+dbkznkoaMltz1GnszQ==",
       "dependencies": {
-        "@types/jest": "*"
-      }
-    },
-    "node_modules/@types/unist": {
-      "version": "2.0.10",
-      "resolved": "https://registry.npmjs.org/@types/unist/-/unist-2.0.10.tgz",
-      "integrity": "sha512-IfYcSBWE3hLpBg8+X2SEa8LVkJdJEkT2Ese2aaLs3ptGdVtABxndrMaxuFlQ1qdFf9Q5rDvDpxI3WwgvKFAsQA=="
-    },
-    "node_modules/@types/uuid": {
-      "version": "9.0.8",
-      "resolved": "https://registry.npmjs.org/@types/uuid/-/uuid-9.0.8.tgz",
-      "integrity": "sha512-jg+97EGIcY9AGHJJRaaPVgetKDsrTgbRjQ5Msgjh/DQKEFl0DtyRr/VCOyD1T2R1MNeWPK/u7JoGhlDZnKBAfA==",
-      "dev": true
+        "@babel/runtime": "^7.13.10"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "react": "^16.8 || ^17.0 || ^18.0"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        }
+      }
     },
-    "node_modules/@vitejs/plugin-react-swc": {
-      "version": "3.6.0",
-      "resolved": "https://registry.npmjs.org/@vitejs/plugin-react-swc/-/plugin-react-swc-3.6.0.tgz",
-      "integrity": "sha512-XFRbsGgpGxGzEV5i5+vRiro1bwcIaZDIdBRP16qwm+jP68ue/S8FJTBEgOeojtVDYrbSua3XFp71kC8VJE6v+g==",
-      "dev": true,
+    "node_modules/cmdk/node_modules/react-remove-scroll": {
+      "version": "2.5.5",
+      "resolved": "https://registry.npmjs.org/react-remove-scroll/-/react-remove-scroll-2.5.5.tgz",
+      "integrity": "sha512-ImKhrzJJsyXJfBZ4bzu8Bwpka14c/fQt0k+cyFp/PBhTfyDnU5hjOtM4AG/0AMyy8oKzOTR0lDgJIM7pYXI0kw==",
       "dependencies": {
-        "@swc/core": "^1.3.107"
+        "react-remove-scroll-bar": "^2.3.3",
+        "react-style-singleton": "^2.2.1",
+        "tslib": "^2.1.0",
+        "use-callback-ref": "^1.3.0",
+        "use-sidecar": "^1.1.2"
+      },
+      "engines": {
+        "node": ">=10"
       },
       "peerDependencies": {
-        "vite": "^4 || ^5"
+        "@types/react": "^16.8.0 || ^17.0.0 || ^18.0.0",
+        "react": "^16.8.0 || ^17.0.0 || ^18.0.0"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        }
       }
     },
-    "node_modules/abab": {
-      "version": "2.0.6",
-      "resolved": "https://registry.npmjs.org/abab/-/abab-2.0.6.tgz",
-      "integrity": "sha512-j2afSsaIENvHZN2B8GOpF566vZ5WVk5opAiMTvWgaQT8DkbOqsTfvNAvHoRGU2zzP8cPoqys+xHTRDWW8L+/BA==",
-      "deprecated": "Use your platform's native atob() and btoa() methods instead"
+    "node_modules/code-block-writer": {
+      "version": "12.0.0",
+      "resolved": "https://registry.npmjs.org/code-block-writer/-/code-block-writer-12.0.0.tgz",
+      "integrity": "sha512-q4dMFMlXtKR3XNBHyMHt/3pwYNA69EDk00lloMOaaUMKPUXBw6lpXtbu3MMVG6/uOihGnRDOlkyqsONEUj60+w=="
     },
-    "node_modules/accordion": {
-      "version": "3.0.2",
-      "resolved": "https://registry.npmjs.org/accordion/-/accordion-3.0.2.tgz",
-      "integrity": "sha512-jbQfFaw+57OBwPt7qSNHuW+RA8smmRwkWRS1Ozh6K/QxUspBgBV/LpdSzlY7vee8TomS6j3D33B9rIeH1qMwsA=="
+    "node_modules/color-convert": {
+      "version": "1.9.3",
+      "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-1.9.3.tgz",
+      "integrity": "sha512-QfAUtd+vFdAtFQcC8CCyYt1fYWxSqAiK2cSD6zDB8N3cpsEBAvRxp9zOGg6G/SHHJYAT88/az/IuDGALsNVbGg==",
+      "dependencies": {
+        "color-name": "1.1.3"
+      }
     },
-    "node_modules/ace-builds": {
-      "version": "1.32.5",
-      "resolved": "https://registry.npmjs.org/ace-builds/-/ace-builds-1.32.5.tgz",
-      "integrity": "sha512-Mrh+qTitOomv1kANaRHO6jpxq6j8BzN9Duwb6pmpuB2sAsfv7MHH9j3LpRHS388uid2GisauC682bemmkdNXKg=="
+    "node_modules/color-name": {
+      "version": "1.1.3",
+      "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.3.tgz",
+      "integrity": "sha512-72fSenhMw2HZMTVHeCA9KCmpEIbzWiQsjN+BHcBbS9vr1mtt+vJjPdksIBNUmKAW8TFUDPJK5SUU3QhE9NEXDw=="
     },
-    "node_modules/acorn": {
-      "version": "8.11.3",
-      "resolved": "https://registry.npmjs.org/acorn/-/acorn-8.11.3.tgz",
-      "integrity": "sha512-Y9rRfJG5jcKOE0CLisYbojUjIrIEE7AGMzA/Sm4BslANhbS+cDMpgBdcPT91oJ7OuJ9hYJBx59RjbhxVnrF8Xg==",
+    "node_modules/color-support": {
+      "version": "1.1.3",
+      "resolved": "https://registry.npmjs.org/color-support/-/color-support-1.1.3.tgz",
+      "integrity": "sha512-qiBjkpbMLO/HL68y+lh4q0/O1MZFj2RX6X/KmMa3+gJD3z+WwI1ZzDHysvqHGS3mP6mznPckpXmw1nI9cJjyRg==",
+      "optional": true,
       "bin": {
-        "acorn": "bin/acorn"
+        "color-support": "bin.js"
+      }
+    },
+    "node_modules/combined-stream": {
+      "version": "1.0.8",
+      "resolved": "https://registry.npmjs.org/combined-stream/-/combined-stream-1.0.8.tgz",
+      "integrity": "sha512-FQN4MRfuJeHf7cBbBMJFXhKSDq+2kAArBlmRBvcvFE5BB1HZKXtSFASDhdlz9zOYwxh8lDdnvmMOe/+5cdoEdg==",
+      "dependencies": {
+        "delayed-stream": "~1.0.0"
       },
       "engines": {
-        "node": ">=0.4.0"
+        "node": ">= 0.8"
       }
     },
-    "node_modules/acorn-globals": {
-      "version": "7.0.1",
-      "resolved": "https://registry.npmjs.org/acorn-globals/-/acorn-globals-7.0.1.tgz",
-      "integrity": "sha512-umOSDSDrfHbTNPuNpC2NSnnA3LUrqpevPb4T9jRx4MagXNS0rs+gwiTcAvqCRmsD6utzsrzNt+ebm00SNWiC3Q==",
-      "dependencies": {
-        "acorn": "^8.1.0",
-        "acorn-walk": "^8.0.2"
+    "node_modules/comma-separated-tokens": {
+      "version": "2.0.3",
+      "resolved": "https://registry.npmjs.org/comma-separated-tokens/-/comma-separated-tokens-2.0.3.tgz",
+      "integrity": "sha512-Fu4hJdvzeylCfQPp9SGWidpzrMs7tTrlu6Vb8XGaRGck8QSNZJJp538Wrb60Lax4fPwR64ViY468OIUTbRlGZg==",
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/wooorm"
       }
     },
-    "node_modules/acorn-walk": {
-      "version": "8.3.2",
-      "resolved": "https://registry.npmjs.org/acorn-walk/-/acorn-walk-8.3.2.tgz",
-      "integrity": "sha512-cjkyv4OtNCIeqhHrfS81QWXoCBPExR/J62oyEqepVw8WaQeSqpW2uhuLPh1m9eWhDuOo/jUXVTlifvesOWp/4A==",
+    "node_modules/commander": {
+      "version": "8.3.0",
+      "resolved": "https://registry.npmjs.org/commander/-/commander-8.3.0.tgz",
+      "integrity": "sha512-OkTL9umf+He2DZkUq8f8J9of7yL6RJKI24dVITBmNfZBmri9zYZQrKkuXiKhyfPSu8tUhnVBB1iKXevvnlR4Ww==",
       "engines": {
-        "node": ">=0.4.0"
+        "node": ">= 12"
       }
     },
-    "node_modules/add": {
-      "version": "2.0.6",
-      "resolved": "https://registry.npmjs.org/add/-/add-2.0.6.tgz",
-      "integrity": "sha512-j5QzrmsokwWWp6kUcJQySpbG+xfOBqqKnup3OIk1pz+kB/80SLorZ9V8zHFLO92Lcd+hbvq8bT+zOGoPkmBV0Q=="
+    "node_modules/concat-map": {
+      "version": "0.0.1",
+      "resolved": "https://registry.npmjs.org/concat-map/-/concat-map-0.0.1.tgz",
+      "integrity": "sha512-/Srv4dswyQNBfohGpz9o6Yb3Gz3SrUDqBH5rTuhGR7ahtlbYKnVxw2bCFMRljaA7EXHaXZ8wsHdodFvbkhKmqg==",
+      "devOptional": true
     },
-    "node_modules/agent-base": {
-      "version": "6.0.2",
-      "resolved": "https://registry.npmjs.org/agent-base/-/agent-base-6.0.2.tgz",
-      "integrity": "sha512-RZNwNclF7+MS/8bDg70amg32dyeZGZxiDuQmZxKLAlQjr3jGyLx+4Kkk58UO7D2QdgFIQCovuSuZESne6RG6XQ==",
+    "node_modules/console-control-strings": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/console-control-strings/-/console-control-strings-1.1.0.tgz",
+      "integrity": "sha512-ty/fTekppD2fIwRvnZAVdeOiGd1c7YXEixbgJTNzqcxJWKQnjJ/V1bNEEE6hygpM3WjwHFUVK6HTjWSzV4a8sQ==",
+      "optional": true
+    },
+    "node_modules/content-disposition": {
+      "version": "0.5.4",
+      "resolved": "https://registry.npmjs.org/content-disposition/-/content-disposition-0.5.4.tgz",
+      "integrity": "sha512-FveZTNuGw04cxlAiWbzi6zTAL/lhehaWbTtgluJh4/E95DqMwTmha3KZN1aAWA8cFIhHzMZUvLevkw5Rqk+tSQ==",
+      "dev": true,
       "dependencies": {
-        "debug": "4"
+        "safe-buffer": "5.2.1"
       },
       "engines": {
-        "node": ">= 6.0.0"
+        "node": ">= 0.6"
       }
     },
-    "node_modules/ajv": {
-      "version": "8.12.0",
-      "resolved": "https://registry.npmjs.org/ajv/-/ajv-8.12.0.tgz",
-      "integrity": "sha512-sRu1kpcO9yLtYxBKvqfTeh9KzZEwO3STyX1HT+4CaDzC6HpTGYhIhPIzj9XuKU7KYDwnaeh5hcOwjy1QuJzBPA==",
-      "dependencies": {
-        "fast-deep-equal": "^3.1.1",
-        "json-schema-traverse": "^1.0.0",
-        "require-from-string": "^2.0.2",
-        "uri-js": "^4.2.2"
-      },
-      "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/epoberezkin"
-      }
+    "node_modules/convert-source-map": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/convert-source-map/-/convert-source-map-2.0.0.tgz",
+      "integrity": "sha512-Kvp459HrV2FEJ1CAsi1Ku+MY3kasH19TFykTz2xWmMeq6bk2NU3XXvfJ+Q61m0xktWwt+1HSYf3JZsTms3aRJg=="
     },
-    "node_modules/ansi-regex": {
-      "version": "5.0.1",
-      "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-5.0.1.tgz",
-      "integrity": "sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ==",
+    "node_modules/cookie": {
+      "version": "0.6.0",
+      "resolved": "https://registry.npmjs.org/cookie/-/cookie-0.6.0.tgz",
+      "integrity": "sha512-U71cyTamuh1CRNCfpGY6to28lxvNwPG4Guz/EVjgf3Jmzv0vlDp1atT9eS5dDjMYHucpHbWns6Lwf3BKz6svdw==",
       "engines": {
-        "node": ">=8"
+        "node": ">= 0.6"
       }
     },
-    "node_modules/ansi-styles": {
-      "version": "4.3.0",
-      "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-4.3.0.tgz",
-      "integrity": "sha512-zbB9rCJAT1rbjiVDb2hqKFHNYLxgtk8NURxZ3IZwD3F6NtxbXZQCnnSi1Lkx+IDohdPlFp222wVALIheZJQSEg==",
+    "node_modules/cosmiconfig": {
+      "version": "8.3.6",
+      "resolved": "https://registry.npmjs.org/cosmiconfig/-/cosmiconfig-8.3.6.tgz",
+      "integrity": "sha512-kcZ6+W5QzcJ3P1Mt+83OUv/oHFqZHIx8DuxG6eZ5RGMERoLqp4BuGjhHLYGK+Kf5XVkQvqBSmAy/nGWN3qDgEA==",
       "dependencies": {
-        "color-convert": "^2.0.1"
+        "import-fresh": "^3.3.0",
+        "js-yaml": "^4.1.0",
+        "parse-json": "^5.2.0",
+        "path-type": "^4.0.0"
       },
       "engines": {
-        "node": ">=8"
+        "node": ">=14"
       },
       "funding": {
-        "url": "https://github.com/chalk/ansi-styles?sponsor=1"
+        "url": "https://github.com/sponsors/d-fischer"
+      },
+      "peerDependencies": {
+        "typescript": ">=4.9.5"
+      },
+      "peerDependenciesMeta": {
+        "typescript": {
+          "optional": true
+        }
       }
     },
-    "node_modules/ansi-to-html": {
-      "version": "0.7.2",
-      "resolved": "https://registry.npmjs.org/ansi-to-html/-/ansi-to-html-0.7.2.tgz",
-      "integrity": "sha512-v6MqmEpNlxF+POuyhKkidusCHWWkaLcGRURzivcU3I9tv7k4JVhFcnukrM5Rlk2rUywdZuzYAZ+kbZqWCnfN3g==",
+    "node_modules/cross-spawn": {
+      "version": "7.0.3",
+      "resolved": "https://registry.npmjs.org/cross-spawn/-/cross-spawn-7.0.3.tgz",
+      "integrity": "sha512-iRDPJKUPVEND7dHPO8rkbOnPpyDygcDFtWjpeWNCgy8WP2rXcxXL8TskReQl6OrB2G7+UJrags1q15Fudc7G6w==",
       "dependencies": {
-        "entities": "^2.2.0"
+        "path-key": "^3.1.0",
+        "shebang-command": "^2.0.0",
+        "which": "^2.0.1"
       },
+      "engines": {
+        "node": ">= 8"
+      }
+    },
+    "node_modules/css.escape": {
+      "version": "1.5.1",
+      "resolved": "https://registry.npmjs.org/css.escape/-/css.escape-1.5.1.tgz",
+      "integrity": "sha512-YUifsXXuknHlUsmlgyY0PKzgPOr7/FjCePfHNt0jxm83wHZi44VDMQ7/fGNkjY3/jV1MC+1CmZbaHzugyeRtpg==",
+      "dev": true
+    },
+    "node_modules/cssesc": {
+      "version": "3.0.0",
+      "resolved": "https://registry.npmjs.org/cssesc/-/cssesc-3.0.0.tgz",
+      "integrity": "sha512-/Tb/JcjK111nNScGob5MNtsntNM1aCNUDipB/TkwZFhyDrrE47SOx/18wF2bbjgc3ZzCSKW1T5nt5EbFoAz/Vg==",
       "bin": {
-        "ansi-to-html": "bin/ansi-to-html"
+        "cssesc": "bin/cssesc"
       },
       "engines": {
-        "node": ">=8.0.0"
+        "node": ">=4"
       }
     },
-    "node_modules/any-promise": {
-      "version": "1.3.0",
-      "resolved": "https://registry.npmjs.org/any-promise/-/any-promise-1.3.0.tgz",
-      "integrity": "sha512-7UvmKalWRt1wgjL1RrGxoSJW/0QZFIegpeGvZG9kjp8vrRu55XTHbwnqq2GpXm9uLbcuhxm3IqX9OB4MZR1b2A=="
+    "node_modules/cssom": {
+      "version": "0.5.0",
+      "resolved": "https://registry.npmjs.org/cssom/-/cssom-0.5.0.tgz",
+      "integrity": "sha512-iKuQcq+NdHqlAcwUY0o/HL69XQrUaQdMjmStJ8JFmUaiiQErlhrmuigkg/CU4E2J0IyUKUrMAgl36TvN67MqTw=="
     },
-    "node_modules/anymatch": {
-      "version": "3.1.3",
-      "resolved": "https://registry.npmjs.org/anymatch/-/anymatch-3.1.3.tgz",
-      "integrity": "sha512-KMReFUr0B4t+D+OBkjR3KYqvocp2XaSzO55UcB6mgQMd3KbcE+mWTyvVV7D/zsdEbNnV6acZUutkiHQXvTr1Rw==",
+    "node_modules/cssstyle": {
+      "version": "2.3.0",
+      "resolved": "https://registry.npmjs.org/cssstyle/-/cssstyle-2.3.0.tgz",
+      "integrity": "sha512-AZL67abkUzIuvcHqk7c09cezpGNcxUxU4Ioi/05xHk4DQeTkWmGYftIE6ctU6AEt+Gn4n1lDStOtj7FKycP71A==",
       "dependencies": {
-        "normalize-path": "^3.0.0",
-        "picomatch": "^2.0.4"
+        "cssom": "~0.3.6"
       },
       "engines": {
-        "node": ">= 8"
+        "node": ">=8"
       }
     },
-    "node_modules/arch": {
-      "version": "2.2.0",
-      "resolved": "https://registry.npmjs.org/arch/-/arch-2.2.0.tgz",
-      "integrity": "sha512-Of/R0wqp83cgHozfIYLbBMnej79U/SVGOOyuB3VVFv1NRM/PSFMK12x9KVtiYzJqmnU5WR2qp0Z5rHb7sWGnFQ==",
-      "dev": true,
-      "funding": [
-        {
-          "type": "github",
-          "url": "https://github.com/sponsors/feross"
-        },
-        {
-          "type": "patreon",
-          "url": "https://www.patreon.com/feross"
-        },
-        {
-          "type": "consulting",
-          "url": "https://feross.org/support"
-        }
-      ]
+    "node_modules/cssstyle/node_modules/cssom": {
+      "version": "0.3.8",
+      "resolved": "https://registry.npmjs.org/cssom/-/cssom-0.3.8.tgz",
+      "integrity": "sha512-b0tGHbfegbhPJpxpiBPU2sCkigAqtM9O121le6bbOlgyV+NyGyCmVfJ6QW9eRjz8CpNfWEOYBIMIGRYkLwsIYg=="
     },
-    "node_modules/arg": {
-      "version": "5.0.2",
-      "resolved": "https://registry.npmjs.org/arg/-/arg-5.0.2.tgz",
-      "integrity": "sha512-PYjyFOLKQ9y57JvQ6QLo8dAgNqswh8M1RMJYdQduT6xbWSgK36P/Z/v+p888pM69jMMfS8Xd8F6I1kQ/I9HUGg=="
+    "node_modules/csstype": {
+      "version": "3.1.3",
+      "resolved": "https://registry.npmjs.org/csstype/-/csstype-3.1.3.tgz",
+      "integrity": "sha512-M1uQkMl8rQK/szD0LNhtqxIPLpimGm8sOBwU7lLnCpSbTyY3yeU1Vc7l4KT5zT4s/yOxHH5O7tIuuLOCnLADRw=="
     },
-    "node_modules/argparse": {
-      "version": "2.0.1",
-      "resolved": "https://registry.npmjs.org/argparse/-/argparse-2.0.1.tgz",
-      "integrity": "sha512-8+9WqebbFzpX9OR+Wa6O29asIogeRMzcGtAINdpMHHyAg10f05aSFVBbcEqGf/PXw1EjAZ+q2/bEBg3DvurK3Q=="
+    "node_modules/d3-color": {
+      "version": "3.1.0",
+      "resolved": "https://registry.npmjs.org/d3-color/-/d3-color-3.1.0.tgz",
+      "integrity": "sha512-zg/chbXyeBtMQ1LbD/WSoW2DpC3I0mpmPdW+ynRTj/x2DAWYrIY7qeZIHidozwV24m4iavr15lNwIwLxRmOxhA==",
+      "engines": {
+        "node": ">=12"
+      }
     },
-    "node_modules/aria-hidden": {
-      "version": "1.2.3",
-      "resolved": "https://registry.npmjs.org/aria-hidden/-/aria-hidden-1.2.3.tgz",
-      "integrity": "sha512-xcLxITLe2HYa1cnYnwCjkOO1PqUHQpozB8x9AR0OgWN2woOBi5kSDVxKfd0b7sb1hw5qFeJhXm9H1nu3xSfLeQ==",
+    "node_modules/d3-dispatch": {
+      "version": "3.0.1",
+      "resolved": "https://registry.npmjs.org/d3-dispatch/-/d3-dispatch-3.0.1.tgz",
+      "integrity": "sha512-rzUyPU/S7rwUflMyLc1ETDeBj0NRuHKKAcvukozwhshr6g6c5d8zh4c2gQjY2bZ0dXeGLWc1PF174P2tVvKhfg==",
+      "engines": {
+        "node": ">=12"
+      }
+    },
+    "node_modules/d3-drag": {
+      "version": "3.0.0",
+      "resolved": "https://registry.npmjs.org/d3-drag/-/d3-drag-3.0.0.tgz",
+      "integrity": "sha512-pWbUJLdETVA8lQNJecMxoXfH6x+mO2UQo8rSmZ+QqxcbyA3hfeprFgIT//HW2nlHChWeIIMwS2Fq+gEARkhTkg==",
       "dependencies": {
-        "tslib": "^2.0.0"
+        "d3-dispatch": "1 - 3",
+        "d3-selection": "3"
       },
       "engines": {
-        "node": ">=10"
+        "node": ">=12"
       }
     },
-    "node_modules/aria-query": {
-      "version": "5.1.3",
-      "resolved": "https://registry.npmjs.org/aria-query/-/aria-query-5.1.3.tgz",
-      "integrity": "sha512-R5iJ5lkuHybztUfuOAznmboyjWq8O6sqNqtK7CLOqdydi54VNbORp49mb14KbWgG1QD3JFO9hJdZ+y4KutfdOQ==",
-      "dev": true,
-      "dependencies": {
-        "deep-equal": "^2.0.5"
+    "node_modules/d3-ease": {
+      "version": "3.0.1",
+      "resolved": "https://registry.npmjs.org/d3-ease/-/d3-ease-3.0.1.tgz",
+      "integrity": "sha512-wR/XK3D3XcLIZwpbvQwQ5fK+8Ykds1ip7A2Txe0yxncXSdq1L9skcG7blcedkOX+ZcgxGAmLX1FrRGbADwzi0w==",
+      "engines": {
+        "node": ">=12"
       }
     },
-    "node_modules/array-buffer-byte-length": {
-      "version": "1.0.1",
-      "resolved": "https://registry.npmjs.org/array-buffer-byte-length/-/array-buffer-byte-length-1.0.1.tgz",
-      "integrity": "sha512-ahC5W1xgou+KTXix4sAO8Ki12Q+jf4i0+tmk3sC+zgcynshkHxzpXdImBehiUYKKKDwvfFiJl1tZt6ewscS1Mg==",
-      "dev": true,
+    "node_modules/d3-interpolate": {
+      "version": "3.0.1",
+      "resolved": "https://registry.npmjs.org/d3-interpolate/-/d3-interpolate-3.0.1.tgz",
+      "integrity": "sha512-3bYs1rOD33uo8aqJfKP3JWPAibgw8Zm2+L9vBKEHJ2Rg+viTR7o5Mmv5mZcieN+FRYaAOWX5SJATX6k1PWz72g==",
       "dependencies": {
-        "call-bind": "^1.0.5",
-        "is-array-buffer": "^3.0.4"
+        "d3-color": "1 - 3"
       },
       "engines": {
-        "node": ">= 0.4"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/ljharb"
+        "node": ">=12"
       }
     },
-    "node_modules/astral-regex": {
-      "version": "2.0.0",
-      "resolved": "https://registry.npmjs.org/astral-regex/-/astral-regex-2.0.0.tgz",
-      "integrity": "sha512-Z7tMw1ytTXt5jqMcOP+OQteU1VuNK9Y02uuJtKQ1Sv69jXQKKg5cibLwGJow8yzZP+eAc18EmLGPal0bp36rvQ==",
+    "node_modules/d3-selection": {
+      "version": "3.0.0",
+      "resolved": "https://registry.npmjs.org/d3-selection/-/d3-selection-3.0.0.tgz",
+      "integrity": "sha512-fmTRWbNMmsmWq6xJV8D19U/gw/bwrHfNXxrIN+HfZgnzqTHp9jOmKMhsTUjXOJnZOdZY9Q28y4yebKzqDKlxlQ==",
       "engines": {
-        "node": ">=8"
+        "node": ">=12"
       }
     },
-    "node_modules/asynckit": {
-      "version": "0.4.0",
-      "resolved": "https://registry.npmjs.org/asynckit/-/asynckit-0.4.0.tgz",
-      "integrity": "sha512-Oei9OH4tRh0YqU3GxhX79dM/mwVgvbZJaSNaRk+bshkj0S5cfHcgYakreBjrHwatXKbz+IoIdYLxrKim2MjW0Q=="
+    "node_modules/d3-timer": {
+      "version": "3.0.1",
+      "resolved": "https://registry.npmjs.org/d3-timer/-/d3-timer-3.0.1.tgz",
+      "integrity": "sha512-ndfJ/JxxMd3nw31uyKoY2naivF+r29V+Lc0svZxe1JvvIRmi8hUsrMvdOwgS1o6uBHmiz91geQ0ylPP0aj1VUA==",
+      "engines": {
+        "node": ">=12"
+      }
     },
-    "node_modules/autoprefixer": {
-      "version": "10.4.17",
-      "resolved": "https://registry.npmjs.org/autoprefixer/-/autoprefixer-10.4.17.tgz",
-      "integrity": "sha512-/cpVNRLSfhOtcGflT13P2794gVSgmPgTR+erw5ifnMLZb0UnSlkK4tquLmkd3BhA+nLo5tX8Cu0upUsGKvKbmg==",
-      "dev": true,
-      "funding": [
-        {
-          "type": "opencollective",
-          "url": "https://opencollective.com/postcss/"
-        },
-        {
-          "type": "tidelift",
-          "url": "https://tidelift.com/funding/github/npm/autoprefixer"
-        },
-        {
-          "type": "github",
-          "url": "https://github.com/sponsors/ai"
-        }
-      ],
+    "node_modules/d3-transition": {
+      "version": "3.0.1",
+      "resolved": "https://registry.npmjs.org/d3-transition/-/d3-transition-3.0.1.tgz",
+      "integrity": "sha512-ApKvfjsSR6tg06xrL434C0WydLr7JewBB3V+/39RMHsaXTOG0zmt/OAXeng5M5LBm0ojmxJrpomQVZ1aPvBL4w==",
       "dependencies": {
-        "browserslist": "^4.22.2",
-        "caniuse-lite": "^1.0.30001578",
-        "fraction.js": "^4.3.7",
-        "normalize-range": "^0.1.2",
-        "picocolors": "^1.0.0",
-        "postcss-value-parser": "^4.2.0"
-      },
-      "bin": {
-        "autoprefixer": "bin/autoprefixer"
+        "d3-color": "1 - 3",
+        "d3-dispatch": "1 - 3",
+        "d3-ease": "1 - 3",
+        "d3-interpolate": "1 - 3",
+        "d3-timer": "1 - 3"
       },
       "engines": {
-        "node": "^10 || ^12 || >=14"
+        "node": ">=12"
       },
       "peerDependencies": {
-        "postcss": "^8.1.0"
-      }
-    },
-    "node_modules/available-typed-arrays": {
-      "version": "1.0.6",
-      "resolved": "https://registry.npmjs.org/available-typed-arrays/-/available-typed-arrays-1.0.6.tgz",
-      "integrity": "sha512-j1QzY8iPNPG4o4xmO3ptzpRxTciqD3MgEHtifP/YnJpIo58Xu+ne4BejlbkuaLfXn/nz6HFiw29bLpj2PNMdGg==",
-      "dev": true,
-      "engines": {
-        "node": ">= 0.4"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/ljharb"
-      }
-    },
-    "node_modules/axios": {
-      "version": "1.6.7",
-      "resolved": "https://registry.npmjs.org/axios/-/axios-1.6.7.tgz",
-      "integrity": "sha512-/hDJGff6/c7u0hDkvkGxR/oy6CbCs8ziCsC7SqmhjfozqiJGc8Z11wrv9z9lYfY4K8l+H9TpjcMDX0xOZmx+RA==",
-      "dependencies": {
-        "follow-redirects": "^1.15.4",
-        "form-data": "^4.0.0",
-        "proxy-from-env": "^1.1.0"
+        "d3-selection": "2 - 3"
       }
     },
-    "node_modules/babel-plugin-macros": {
-      "version": "3.1.0",
-      "resolved": "https://registry.npmjs.org/babel-plugin-macros/-/babel-plugin-macros-3.1.0.tgz",
-      "integrity": "sha512-Cg7TFGpIr01vOQNODXOOaGz2NpCU5gl8x1qJFbb6hbZxR7XrcE2vtbAsTAbJ7/xwJtUuJEw8K8Zr/AE0LHlesg==",
+    "node_modules/d3-zoom": {
+      "version": "3.0.0",
+      "resolved": "https://registry.npmjs.org/d3-zoom/-/d3-zoom-3.0.0.tgz",
+      "integrity": "sha512-b8AmV3kfQaqWAuacbPuNbL6vahnOJflOhexLzMMNLga62+/nh0JzvJ0aO/5a5MVgUFGS7Hu1P9P03o3fJkDCyw==",
       "dependencies": {
-        "@babel/runtime": "^7.12.5",
-        "cosmiconfig": "^7.0.0",
-        "resolve": "^1.19.0"
+        "d3-dispatch": "1 - 3",
+        "d3-drag": "2 - 3",
+        "d3-interpolate": "1 - 3",
+        "d3-selection": "2 - 3",
+        "d3-transition": "2 - 3"
       },
       "engines": {
-        "node": ">=10",
-        "npm": ">=6"
+        "node": ">=12"
       }
     },
-    "node_modules/bail": {
-      "version": "2.0.2",
-      "resolved": "https://registry.npmjs.org/bail/-/bail-2.0.2.tgz",
-      "integrity": "sha512-0xO6mYd7JB2YesxDKplafRpsiOzPt9V02ddPCLbY1xYGPOX24NTyN50qnUxgCPcSoYMhKpAuBTjQoRZCAkUDRw==",
-      "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/wooorm"
+    "node_modules/data-uri-to-buffer": {
+      "version": "4.0.1",
+      "resolved": "https://registry.npmjs.org/data-uri-to-buffer/-/data-uri-to-buffer-4.0.1.tgz",
+      "integrity": "sha512-0R9ikRb668HB7QDxT1vkpuUBtqc53YyAwMwGeUFKRojY/NWKvdZ+9UYtRfGmhqNbRkTSVpMbmyhXipFFv2cb/A==",
+      "engines": {
+        "node": ">= 12"
       }
     },
-    "node_modules/balanced-match": {
-      "version": "1.0.2",
-      "resolved": "https://registry.npmjs.org/balanced-match/-/balanced-match-1.0.2.tgz",
-      "integrity": "sha512-3oSeUO0TMV67hN1AmbXsK4yaqU7tjiHlbxRDZOpH0KW9+CeX4bRAaX0Anxt0tx2MrpRpWwQaPwIlISEJhYU5Pw=="
-    },
-    "node_modules/base64-js": {
-      "version": "1.5.1",
-      "resolved": "https://registry.npmjs.org/base64-js/-/base64-js-1.5.1.tgz",
-      "integrity": "sha512-AKpaYlHn8t4SVbOHCy+b5+KKgvR4vrsD8vbvrbiQJps7fKDTkjkDry6ji0rUJjC0kzbNePLwzxq8iypo41qeWA==",
-      "funding": [
-        {
-          "type": "github",
-          "url": "https://github.com/sponsors/feross"
-        },
-        {
-          "type": "patreon",
-          "url": "https://www.patreon.com/feross"
-        },
-        {
-          "type": "consulting",
-          "url": "https://feross.org/support"
-        }
-      ]
-    },
-    "node_modules/bin-check": {
-      "version": "4.1.0",
-      "resolved": "https://registry.npmjs.org/bin-check/-/bin-check-4.1.0.tgz",
-      "integrity": "sha512-b6weQyEUKsDGFlACWSIOfveEnImkJyK/FGW6FAG42loyoquvjdtOIqO6yBFzHyqyVVhNgNkQxxx09SFLK28YnA==",
-      "dev": true,
+    "node_modules/data-urls": {
+      "version": "3.0.2",
+      "resolved": "https://registry.npmjs.org/data-urls/-/data-urls-3.0.2.tgz",
+      "integrity": "sha512-Jy/tj3ldjZJo63sVAvg6LHt2mHvl4V6AgRAmNDtLdm7faqtsx+aJG42rsyCo9JCoRVKwPFzKlIPx3DIibwSIaQ==",
       "dependencies": {
-        "execa": "^0.7.0",
-        "executable": "^4.1.0"
+        "abab": "^2.0.6",
+        "whatwg-mimetype": "^3.0.0",
+        "whatwg-url": "^11.0.0"
       },
       "engines": {
-        "node": ">=4"
+        "node": ">=12"
       }
     },
-    "node_modules/bin-version": {
-      "version": "6.0.0",
-      "resolved": "https://registry.npmjs.org/bin-version/-/bin-version-6.0.0.tgz",
-      "integrity": "sha512-nk5wEsP4RiKjG+vF+uG8lFsEn4d7Y6FVDamzzftSunXOoOcOOkzcWdKVlGgFFwlUQCj63SgnUkLLGF8v7lufhw==",
-      "dev": true,
+    "node_modules/data-urls/node_modules/tr46": {
+      "version": "3.0.0",
+      "resolved": "https://registry.npmjs.org/tr46/-/tr46-3.0.0.tgz",
+      "integrity": "sha512-l7FvfAHlcmulp8kr+flpQZmVwtu7nfRV7NZujtN0OqES8EL4O4e0qqzL0DC5gAvx/ZC/9lk6rhcUwYvkBnBnYA==",
       "dependencies": {
-        "execa": "^5.0.0",
-        "find-versions": "^5.0.0"
+        "punycode": "^2.1.1"
       },
       "engines": {
         "node": ">=12"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/sindresorhus"
       }
     },
-    "node_modules/bin-version-check": {
-      "version": "5.1.0",
-      "resolved": "https://registry.npmjs.org/bin-version-check/-/bin-version-check-5.1.0.tgz",
-      "integrity": "sha512-bYsvMqJ8yNGILLz1KP9zKLzQ6YpljV3ln1gqhuLkUtyfGi3qXKGuK2p+U4NAvjVFzDFiBBtOpCOSFNuYYEGZ5g==",
-      "dev": true,
+    "node_modules/data-urls/node_modules/whatwg-url": {
+      "version": "11.0.0",
+      "resolved": "https://registry.npmjs.org/whatwg-url/-/whatwg-url-11.0.0.tgz",
+      "integrity": "sha512-RKT8HExMpoYx4igMiVMY83lN6UeITKJlBQ+vR/8ZJ8OCdSiN3RwCq+9gH0+Xzj0+5IrM6i4j/6LuvzbZIQgEcQ==",
       "dependencies": {
-        "bin-version": "^6.0.0",
-        "semver": "^7.5.3",
-        "semver-truncate": "^3.0.0"
+        "tr46": "^3.0.0",
+        "webidl-conversions": "^7.0.0"
       },
       "engines": {
         "node": ">=12"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/sindresorhus"
       }
     },
-    "node_modules/bin-version/node_modules/cross-spawn": {
-      "version": "7.0.3",
-      "resolved": "https://registry.npmjs.org/cross-spawn/-/cross-spawn-7.0.3.tgz",
-      "integrity": "sha512-iRDPJKUPVEND7dHPO8rkbOnPpyDygcDFtWjpeWNCgy8WP2rXcxXL8TskReQl6OrB2G7+UJrags1q15Fudc7G6w==",
-      "dev": true,
+    "node_modules/debug": {
+      "version": "4.3.5",
+      "resolved": "https://registry.npmjs.org/debug/-/debug-4.3.5.tgz",
+      "integrity": "sha512-pt0bNEmneDIvdL1Xsd9oDQ/wrQRkXDT4AUWlNZNPKvW5x/jyO9VFXkJUP07vQ2upmw5PlaITaPKc31jK13V+jg==",
       "dependencies": {
-        "path-key": "^3.1.0",
-        "shebang-command": "^2.0.0",
-        "which": "^2.0.1"
+        "ms": "2.1.2"
       },
       "engines": {
-        "node": ">= 8"
+        "node": ">=6.0"
+      },
+      "peerDependenciesMeta": {
+        "supports-color": {
+          "optional": true
+        }
       }
     },
-    "node_modules/bin-version/node_modules/execa": {
-      "version": "5.1.1",
-      "resolved": "https://registry.npmjs.org/execa/-/execa-5.1.1.tgz",
-      "integrity": "sha512-8uSpZZocAZRBAPIEINJj3Lo9HyGitllczc27Eh5YYojjMFMn8yHMDMaUHE2Jqfq05D/wucwI4JGURyXt1vchyg==",
-      "dev": true,
+    "node_modules/decimal.js": {
+      "version": "10.4.3",
+      "resolved": "https://registry.npmjs.org/decimal.js/-/decimal.js-10.4.3.tgz",
+      "integrity": "sha512-VBBaLc1MgL5XpzgIP7ny5Z6Nx3UrRkIViUkPUdtl9aya5amy3De1gsUUSB1g3+3sExYNjCAsAznmukyxCb1GRA=="
+    },
+    "node_modules/decode-named-character-reference": {
+      "version": "1.0.2",
+      "resolved": "https://registry.npmjs.org/decode-named-character-reference/-/decode-named-character-reference-1.0.2.tgz",
+      "integrity": "sha512-O8x12RzrUF8xyVcY0KJowWsmaJxQbmy0/EtnNtHRpsOcT7dFk5W598coHqBVpmWo1oQQfsCqfCmkZN5DJrZVdg==",
       "dependencies": {
-        "cross-spawn": "^7.0.3",
-        "get-stream": "^6.0.0",
-        "human-signals": "^2.1.0",
-        "is-stream": "^2.0.0",
-        "merge-stream": "^2.0.0",
-        "npm-run-path": "^4.0.1",
-        "onetime": "^5.1.2",
-        "signal-exit": "^3.0.3",
-        "strip-final-newline": "^2.0.0"
-      },
-      "engines": {
-        "node": ">=10"
+        "character-entities": "^2.0.0"
       },
       "funding": {
-        "url": "https://github.com/sindresorhus/execa?sponsor=1"
+        "type": "github",
+        "url": "https://github.com/sponsors/wooorm"
       }
     },
-    "node_modules/bin-version/node_modules/get-stream": {
-      "version": "6.0.1",
-      "resolved": "https://registry.npmjs.org/get-stream/-/get-stream-6.0.1.tgz",
-      "integrity": "sha512-ts6Wi+2j3jQjqi70w5AlN8DFnkSwC+MqmxEzdEALB2qXZYV3X/b1CTfgPLGJNMeAWxdPfU8FO1ms3NUfaHCPYg==",
+    "node_modules/decode-named-character-reference/node_modules/character-entities": {
+      "version": "2.0.2",
+      "resolved": "https://registry.npmjs.org/character-entities/-/character-entities-2.0.2.tgz",
+      "integrity": "sha512-shx7oQ0Awen/BRIdkjkvz54PnEEI/EjwXDSIZp86/KKdbafHh1Df/RYGBhn4hbe2+uKC9FnT5UCEdyPz3ai9hQ==",
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/wooorm"
+      }
+    },
+    "node_modules/decompress-response": {
+      "version": "6.0.0",
+      "resolved": "https://registry.npmjs.org/decompress-response/-/decompress-response-6.0.0.tgz",
+      "integrity": "sha512-aW35yZM6Bb/4oJlZncMH2LCoZtJXTRxES17vE3hoRiowU2kWHaJKFkSBDnDR+cm9J+9QhXmREyIfv0pji9ejCQ==",
       "dev": true,
+      "dependencies": {
+        "mimic-response": "^3.1.0"
+      },
       "engines": {
         "node": ">=10"
       },
@@ -4369,282 +6661,415 @@
         "url": "https://github.com/sponsors/sindresorhus"
       }
     },
-    "node_modules/bin-version/node_modules/is-stream": {
-      "version": "2.0.1",
-      "resolved": "https://registry.npmjs.org/is-stream/-/is-stream-2.0.1.tgz",
-      "integrity": "sha512-hFoiJiTl63nn+kstHGBtewWSKnQLpyb155KHheA1l39uvtO9nWIop1p3udqPcUd/xbF1VLMO4n7OI6p7RbngDg==",
+    "node_modules/decompress-response/node_modules/mimic-response": {
+      "version": "3.1.0",
+      "resolved": "https://registry.npmjs.org/mimic-response/-/mimic-response-3.1.0.tgz",
+      "integrity": "sha512-z0yWI+4FDrrweS8Zmt4Ej5HdJmky15+L2e6Wgn3+iK5fWzb6T3fhNFq2+MeTRb064c6Wr4N/wv0DzQTjNzHNGQ==",
       "dev": true,
       "engines": {
-        "node": ">=8"
+        "node": ">=10"
       },
       "funding": {
         "url": "https://github.com/sponsors/sindresorhus"
       }
     },
-    "node_modules/bin-version/node_modules/npm-run-path": {
-      "version": "4.0.1",
-      "resolved": "https://registry.npmjs.org/npm-run-path/-/npm-run-path-4.0.1.tgz",
-      "integrity": "sha512-S48WzZW777zhNIrn7gxOlISNAqi9ZC/uQFnRdbeIHhZhCA6UqpkOT8T1G7BvfdgP4Er8gF4sUbaS0i7QvIfCWw==",
-      "dev": true,
+    "node_modules/deep-is": {
+      "version": "0.1.4",
+      "resolved": "https://registry.npmjs.org/deep-is/-/deep-is-0.1.4.tgz",
+      "integrity": "sha512-oIPzksmTg4/MriiaYGO+okXDT7ztn/w3Eptv/+gSIdMdKsJo0u4CfYNFJPy+4SKMuCqGw2wxnA+URMg3t8a/bQ==",
+      "dev": true
+    },
+    "node_modules/defaults": {
+      "version": "1.0.4",
+      "resolved": "https://registry.npmjs.org/defaults/-/defaults-1.0.4.tgz",
+      "integrity": "sha512-eFuaLoy/Rxalv2kr+lqMlUnrDWV+3j4pljOIJgLIhI058IQfWJ7vXhyEIHu+HtC738klGALYxOKDO0bQP3tg8A==",
       "dependencies": {
-        "path-key": "^3.0.0"
+        "clone": "^1.0.2"
       },
-      "engines": {
-        "node": ">=8"
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
       }
     },
-    "node_modules/bin-version/node_modules/path-key": {
-      "version": "3.1.1",
-      "resolved": "https://registry.npmjs.org/path-key/-/path-key-3.1.1.tgz",
-      "integrity": "sha512-ojmeN0qd+y0jszEtoY48r0Peq5dwMEkIlCOu6Q5f41lfkswXuKtYrhgoTpLnyIcHm24Uhqx+5Tqm2InSwLhE6Q==",
+    "node_modules/defer-to-connect": {
+      "version": "2.0.1",
+      "resolved": "https://registry.npmjs.org/defer-to-connect/-/defer-to-connect-2.0.1.tgz",
+      "integrity": "sha512-4tvttepXG1VaYGrRibk5EwJd1t4udunSOVMdLSAL6mId1ix438oPwPZMALY41FCijukO1L0twNcGsdzS7dHgDg==",
       "dev": true,
+      "engines": {
+        "node": ">=10"
+      }
+    },
+    "node_modules/delayed-stream": {
+      "version": "1.0.0",
+      "resolved": "https://registry.npmjs.org/delayed-stream/-/delayed-stream-1.0.0.tgz",
+      "integrity": "sha512-ZySD7Nf91aLB0RxL4KGrKHBXl7Eds1DAmEdcoVawXnLD7SDhpNgtuII2aAkg7a7QS41jxPSZ17p4VdGnMHk3MQ==",
+      "engines": {
+        "node": ">=0.4.0"
+      }
+    },
+    "node_modules/delegates": {
+      "version": "1.0.0",
+      "resolved": "https://registry.npmjs.org/delegates/-/delegates-1.0.0.tgz",
+      "integrity": "sha512-bd2L678uiWATM6m5Z1VzNCErI3jiGzt6HGY8OVICs40JQq/HALfbyNJmp0UDakEY4pMMaN0Ly5om/B1VI/+xfQ==",
+      "optional": true
+    },
+    "node_modules/dequal": {
+      "version": "2.0.3",
+      "resolved": "https://registry.npmjs.org/dequal/-/dequal-2.0.3.tgz",
+      "integrity": "sha512-0je+qPKHEMohvfRTCEo3CrPG6cAzAYgmzKyxRiYSSDkS6eGJdyVJm7WaYA5ECaAD9wLB2T4EEeymA5aFVcYXCA==",
+      "engines": {
+        "node": ">=6"
+      }
+    },
+    "node_modules/detect-libc": {
+      "version": "2.0.3",
+      "resolved": "https://registry.npmjs.org/detect-libc/-/detect-libc-2.0.3.tgz",
+      "integrity": "sha512-bwy0MGW55bG41VqxxypOsdSdGqLwXPI/focwgTYCFMbdUiBAxLg9CFzG08sz2aqzknwiX7Hkl0bQENjg8iLByw==",
+      "optional": true,
       "engines": {
         "node": ">=8"
       }
     },
-    "node_modules/bin-version/node_modules/shebang-command": {
-      "version": "2.0.0",
-      "resolved": "https://registry.npmjs.org/shebang-command/-/shebang-command-2.0.0.tgz",
-      "integrity": "sha512-kHxr2zZpYtdmrN1qDjrrX/Z1rR1kG8Dx+gkpK1G4eXmvXswmcE1hTWBWYUzlraYw1/yZp6YuDY77YtvbN0dmDA==",
-      "dev": true,
+    "node_modules/detect-node-es": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/detect-node-es/-/detect-node-es-1.1.0.tgz",
+      "integrity": "sha512-ypdmJU/TbBby2Dxibuv7ZLW3Bs1QEmM7nHjEANfohJLvE0XVujisn1qPJcZxg+qDucsr+bP6fLD1rPS3AhJ7EQ=="
+    },
+    "node_modules/devlop": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/devlop/-/devlop-1.1.0.tgz",
+      "integrity": "sha512-RWmIqhcFf1lRYBvNmr7qTNuyCt/7/ns2jbpp1+PalgE/rDQcBT0fioSMUpJ93irlUhC5hrg4cYqe6U+0ImW0rA==",
       "dependencies": {
-        "shebang-regex": "^3.0.0"
+        "dequal": "^2.0.0"
       },
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/wooorm"
+      }
+    },
+    "node_modules/didyoumean": {
+      "version": "1.2.2",
+      "resolved": "https://registry.npmjs.org/didyoumean/-/didyoumean-1.2.2.tgz",
+      "integrity": "sha512-gxtyfqMg7GKyhQmb056K7M3xszy/myH8w+B4RT+QXBQsvAOdc3XymqDDPHx1BgPgsdAA5SIifona89YtRATDzw=="
+    },
+    "node_modules/diff": {
+      "version": "5.2.0",
+      "resolved": "https://registry.npmjs.org/diff/-/diff-5.2.0.tgz",
+      "integrity": "sha512-uIFDxqpRZGZ6ThOk84hEfqWoHx2devRFvpTZcTHur85vImfaxUbTW9Ryh4CpCuDnToOP1CEtXKIgytHBPVff5A==",
       "engines": {
-        "node": ">=8"
+        "node": ">=0.3.1"
       }
     },
-    "node_modules/bin-version/node_modules/shebang-regex": {
-      "version": "3.0.0",
-      "resolved": "https://registry.npmjs.org/shebang-regex/-/shebang-regex-3.0.0.tgz",
-      "integrity": "sha512-7++dFhtcx3353uBaq8DDR4NuxBetBzC7ZQOhmTQInHEd6bSrXdiEyzCvG07Z44UYdLShWUyXt5M/yhz8ekcb1A==",
+    "node_modules/diff-match-patch": {
+      "version": "1.0.5",
+      "resolved": "https://registry.npmjs.org/diff-match-patch/-/diff-match-patch-1.0.5.tgz",
+      "integrity": "sha512-IayShXAgj/QMXgB0IWmKx+rOPuGMhqm5w6jvFxmVenXKIzRqTAAsbBPT3kWQeGANj3jGgvcvv4yK6SxqYmikgw=="
+    },
+    "node_modules/diff-sequences": {
+      "version": "29.6.3",
+      "resolved": "https://registry.npmjs.org/diff-sequences/-/diff-sequences-29.6.3.tgz",
+      "integrity": "sha512-EjePK1srD3P08o2j4f0ExnylqRs5B9tJjcp9t1krH2qRi8CCdsYfwe9JgSLurFBWwq4uOlipzfk5fHNvwFKr8Q==",
       "dev": true,
       "engines": {
-        "node": ">=8"
+        "node": "^14.15.0 || ^16.10.0 || >=18.0.0"
       }
     },
-    "node_modules/bin-version/node_modules/which": {
-      "version": "2.0.2",
-      "resolved": "https://registry.npmjs.org/which/-/which-2.0.2.tgz",
-      "integrity": "sha512-BLI3Tl1TW3Pvl70l3yq3Y64i+awpwXqsGBYWkkqMtnbXgrMD+yj7rhW0kuEDxzJaYXGjEW5ogapKNMEKNMjibA==",
+    "node_modules/dlv": {
+      "version": "1.1.3",
+      "resolved": "https://registry.npmjs.org/dlv/-/dlv-1.1.3.tgz",
+      "integrity": "sha512-+HlytyjlPKnIG8XuRG8WvmBP8xs8P71y+SKKS6ZXWoEgLuePxtDoUEiH7WkdePWrQ5JBpE6aoVqfZfJUQkjXwA=="
+    },
+    "node_modules/dom-accessibility-api": {
+      "version": "0.5.16",
+      "resolved": "https://registry.npmjs.org/dom-accessibility-api/-/dom-accessibility-api-0.5.16.tgz",
+      "integrity": "sha512-X7BJ2yElsnOJ30pZF4uIIDfBEVgF4XEBxL9Bxhy6dnrm5hkzqmsWHGTiHqRiITNhMyFLyAiWndIJP7Z1NTteDg==",
       "dev": true,
+      "peer": true
+    },
+    "node_modules/domexception": {
+      "version": "4.0.0",
+      "resolved": "https://registry.npmjs.org/domexception/-/domexception-4.0.0.tgz",
+      "integrity": "sha512-A2is4PLG+eeSfoTMA95/s4pvAoSo2mKtiM5jlHkAVewmiO8ISFTFKZjH7UAM1Atli/OT/7JHOrJRJiMKUZKYBw==",
+      "deprecated": "Use your platform's native DOMException instead",
       "dependencies": {
-        "isexe": "^2.0.0"
-      },
-      "bin": {
-        "node-which": "bin/node-which"
+        "webidl-conversions": "^7.0.0"
       },
       "engines": {
-        "node": ">= 8"
+        "node": ">=12"
       }
     },
-    "node_modules/binary-extensions": {
-      "version": "2.2.0",
-      "resolved": "https://registry.npmjs.org/binary-extensions/-/binary-extensions-2.2.0.tgz",
-      "integrity": "sha512-jDctJ/IVQbZoJykoeHbhXpOlNBqGNcwXJKJog42E5HDPUwQTSdjCHdihjj0DlnheQ7blbT6dHOafNAiS8ooQKA==",
+    "node_modules/dompurify": {
+      "version": "3.1.5",
+      "resolved": "https://registry.npmjs.org/dompurify/-/dompurify-3.1.5.tgz",
+      "integrity": "sha512-lwG+n5h8QNpxtyrJW/gJWckL+1/DQiYMX8f7t8Z2AZTPw1esVrqjI63i7Zc2Gz0aKzLVMYC1V1PL/ky+aY/NgA=="
+    },
+    "node_modules/dot-case": {
+      "version": "3.0.4",
+      "resolved": "https://registry.npmjs.org/dot-case/-/dot-case-3.0.4.tgz",
+      "integrity": "sha512-Kv5nKlh6yRrdrGvxeJ2e5y2eRUpkUosIW4A2AS38zwSz27zu7ufDwQPi5Jhs3XAlGNetl3bmnGhQsMtkKJnj3w==",
+      "dependencies": {
+        "no-case": "^3.0.4",
+        "tslib": "^2.0.3"
+      }
+    },
+    "node_modules/dotenv": {
+      "version": "16.4.5",
+      "resolved": "https://registry.npmjs.org/dotenv/-/dotenv-16.4.5.tgz",
+      "integrity": "sha512-ZmdL2rui+eB2YwhsWzjInR8LldtZHGDoQ1ugH85ppHKwpUHL7j7rN0Ti9NCnGiQbhaZ11FpR+7ao1dNsmduNUg==",
       "engines": {
-        "node": ">=8"
+        "node": ">=12"
+      },
+      "funding": {
+        "url": "https://dotenvx.com"
       }
     },
-    "node_modules/bl": {
-      "version": "5.1.0",
-      "resolved": "https://registry.npmjs.org/bl/-/bl-5.1.0.tgz",
-      "integrity": "sha512-tv1ZJHLfTDnXE6tMHv73YgSJaWR2AFuPwMntBe7XL/GBFHnT0CLnsHMogfk5+GzCDC5ZWarSCYaIGATZt9dNsQ==",
+    "node_modules/eastasianwidth": {
+      "version": "0.2.0",
+      "resolved": "https://registry.npmjs.org/eastasianwidth/-/eastasianwidth-0.2.0.tgz",
+      "integrity": "sha512-I88TYZWc9XiYHRQ4/3c5rjjfgkjhLyW2luGIheGERbNQ6OY7yTybanSpDXZa8y7VUP9YmDcYa+eyq4ca7iLqWA=="
+    },
+    "node_modules/electron-to-chromium": {
+      "version": "1.4.806",
+      "resolved": "https://registry.npmjs.org/electron-to-chromium/-/electron-to-chromium-1.4.806.tgz",
+      "integrity": "sha512-nkoEX2QIB8kwCOtvtgwhXWy2IHVcOLQZu9Qo36uaGB835mdX/h8uLRlosL6QIhLVUnAiicXRW00PwaPZC74Nrg=="
+    },
+    "node_modules/emoji-regex": {
+      "version": "10.3.0",
+      "resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-10.3.0.tgz",
+      "integrity": "sha512-QpLs9D9v9kArv4lfDEgg1X/gN5XLnf/A6l9cs8SPZLRZR3ZkY9+kwIQTxm+fsSej5UMYGE8fdoaZVIBlqG0XTw=="
+    },
+    "node_modules/end-of-stream": {
+      "version": "1.4.4",
+      "resolved": "https://registry.npmjs.org/end-of-stream/-/end-of-stream-1.4.4.tgz",
+      "integrity": "sha512-+uw1inIHVPQoaVuHzRyXd21icM+cnt4CzD5rW+NC1wjOUSTOs+Te7FOv7AhN7vS9x/oIyhLP5PR1H+phQAHu5Q==",
+      "dev": true,
       "dependencies": {
-        "buffer": "^6.0.3",
-        "inherits": "^2.0.4",
-        "readable-stream": "^3.4.0"
+        "once": "^1.4.0"
       }
     },
-    "node_modules/brace-expansion": {
-      "version": "2.0.1",
-      "resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-2.0.1.tgz",
-      "integrity": "sha512-XnAIvQ8eM+kC6aULx6wuQiwVsnzsi9d3WxzV3FpWTGA19F621kwdbsAcFKXgKUHZWsy+mY6iL1sHTxWEFCytDA==",
+    "node_modules/engine.io-client": {
+      "version": "6.5.4",
+      "resolved": "https://registry.npmjs.org/engine.io-client/-/engine.io-client-6.5.4.tgz",
+      "integrity": "sha512-GeZeeRjpD2qf49cZQ0Wvh/8NJNfeXkXXcoGh+F77oEAgo9gUHwT1fCRxSNU+YEEaysOJTnsFHmM5oAcPy4ntvQ==",
       "dependencies": {
-        "balanced-match": "^1.0.0"
+        "@socket.io/component-emitter": "~3.1.0",
+        "debug": "~4.3.1",
+        "engine.io-parser": "~5.2.1",
+        "ws": "~8.17.1",
+        "xmlhttprequest-ssl": "~2.0.0"
       }
     },
-    "node_modules/braces": {
-      "version": "3.0.2",
-      "resolved": "https://registry.npmjs.org/braces/-/braces-3.0.2.tgz",
-      "integrity": "sha512-b8um+L1RzM3WDSzvhm6gIz1yfTbBt6YTlcEKAvsmqCZZFw46z626lVj9j1yEPW33H5H+lBQpZMP1k8l+78Ha0A==",
-      "dependencies": {
-        "fill-range": "^7.0.1"
-      },
+    "node_modules/engine.io-parser": {
+      "version": "5.2.2",
+      "resolved": "https://registry.npmjs.org/engine.io-parser/-/engine.io-parser-5.2.2.tgz",
+      "integrity": "sha512-RcyUFKA93/CXH20l4SoVvzZfrSDMOTUS3bWVpTt2FuFP+XYrL8i8oonHP7WInRyVHXh0n/ORtoeiE1os+8qkSw==",
       "engines": {
-        "node": ">=8"
+        "node": ">=10.0.0"
       }
     },
-    "node_modules/browserslist": {
-      "version": "4.22.3",
-      "resolved": "https://registry.npmjs.org/browserslist/-/browserslist-4.22.3.tgz",
-      "integrity": "sha512-UAp55yfwNv0klWNapjs/ktHoguxuQNGnOzxYmfnXIS+8AsRDZkSDxg7R1AX3GKzn078SBI5dzwzj/Yx0Or0e3A==",
-      "funding": [
-        {
-          "type": "opencollective",
-          "url": "https://opencollective.com/browserslist"
-        },
-        {
-          "type": "tidelift",
-          "url": "https://tidelift.com/funding/github/npm/browserslist"
-        },
-        {
-          "type": "github",
-          "url": "https://github.com/sponsors/ai"
-        }
-      ],
+    "node_modules/entities": {
+      "version": "2.2.0",
+      "resolved": "https://registry.npmjs.org/entities/-/entities-2.2.0.tgz",
+      "integrity": "sha512-p92if5Nz619I0w+akJrLZH0MX0Pb5DX39XOwQTtXSdQQOaYH03S1uIQp4mhOZtAXrxq4ViO67YTiLBo2638o9A==",
+      "funding": {
+        "url": "https://github.com/fb55/entities?sponsor=1"
+      }
+    },
+    "node_modules/error-ex": {
+      "version": "1.3.2",
+      "resolved": "https://registry.npmjs.org/error-ex/-/error-ex-1.3.2.tgz",
+      "integrity": "sha512-7dFHNmqeFSEt2ZBsCriorKnn3Z2pj+fd9kmI6QoWw4//DL+icEBfc0U7qJCisqrTsKTjw4fNFy2pW9OqStD84g==",
       "dependencies": {
-        "caniuse-lite": "^1.0.30001580",
-        "electron-to-chromium": "^1.4.648",
-        "node-releases": "^2.0.14",
-        "update-browserslist-db": "^1.0.13"
-      },
+        "is-arrayish": "^0.2.1"
+      }
+    },
+    "node_modules/esbuild": {
+      "version": "0.21.5",
+      "resolved": "https://registry.npmjs.org/esbuild/-/esbuild-0.21.5.tgz",
+      "integrity": "sha512-mg3OPMV4hXywwpoDxu3Qda5xCKQi+vCTZq8S9J/EpkhB2HzKXq4SNFZE3+NK93JYxc8VMSep+lOUSC/RVKaBqw==",
+      "hasInstallScript": true,
       "bin": {
-        "browserslist": "cli.js"
+        "esbuild": "bin/esbuild"
       },
       "engines": {
-        "node": "^6 || ^7 || ^8 || ^9 || ^10 || ^11 || ^12 || >=13.7"
+        "node": ">=12"
+      },
+      "optionalDependencies": {
+        "@esbuild/aix-ppc64": "0.21.5",
+        "@esbuild/android-arm": "0.21.5",
+        "@esbuild/android-arm64": "0.21.5",
+        "@esbuild/android-x64": "0.21.5",
+        "@esbuild/darwin-arm64": "0.21.5",
+        "@esbuild/darwin-x64": "0.21.5",
+        "@esbuild/freebsd-arm64": "0.21.5",
+        "@esbuild/freebsd-x64": "0.21.5",
+        "@esbuild/linux-arm": "0.21.5",
+        "@esbuild/linux-arm64": "0.21.5",
+        "@esbuild/linux-ia32": "0.21.5",
+        "@esbuild/linux-loong64": "0.21.5",
+        "@esbuild/linux-mips64el": "0.21.5",
+        "@esbuild/linux-ppc64": "0.21.5",
+        "@esbuild/linux-riscv64": "0.21.5",
+        "@esbuild/linux-s390x": "0.21.5",
+        "@esbuild/linux-x64": "0.21.5",
+        "@esbuild/netbsd-x64": "0.21.5",
+        "@esbuild/openbsd-x64": "0.21.5",
+        "@esbuild/sunos-x64": "0.21.5",
+        "@esbuild/win32-arm64": "0.21.5",
+        "@esbuild/win32-ia32": "0.21.5",
+        "@esbuild/win32-x64": "0.21.5"
       }
     },
-    "node_modules/buffer": {
-      "version": "6.0.3",
-      "resolved": "https://registry.npmjs.org/buffer/-/buffer-6.0.3.tgz",
-      "integrity": "sha512-FTiCpNxtwiZZHEZbcbTIcZjERVICn9yq/pDFkTl95/AxzD1naBctN7YO68riM/gLSDY7sdrMby8hofADYuuqOA==",
-      "funding": [
-        {
-          "type": "github",
-          "url": "https://github.com/sponsors/feross"
-        },
-        {
-          "type": "patreon",
-          "url": "https://www.patreon.com/feross"
-        },
-        {
-          "type": "consulting",
-          "url": "https://feross.org/support"
-        }
-      ],
-      "dependencies": {
-        "base64-js": "^1.3.1",
-        "ieee754": "^1.2.1"
+    "node_modules/escalade": {
+      "version": "3.1.2",
+      "resolved": "https://registry.npmjs.org/escalade/-/escalade-3.1.2.tgz",
+      "integrity": "sha512-ErCHMCae19vR8vQGe50xIsVomy19rg6gFu3+r3jkEO46suLMWBksvVyoGgQV+jOfl84ZSOSlmv6Gxa89PmTGmA==",
+      "engines": {
+        "node": ">=6"
       }
     },
-    "node_modules/cacheable-lookup": {
-      "version": "5.0.4",
-      "resolved": "https://registry.npmjs.org/cacheable-lookup/-/cacheable-lookup-5.0.4.tgz",
-      "integrity": "sha512-2/kNscPhpcxrOigMZzbiWF7dz8ilhb/nIHU3EyZiXWXpeq/au8qJ8VhdftMkty3n7Gj6HIGalQG8oiBNB3AJgA==",
-      "dev": true,
+    "node_modules/escape-string-regexp": {
+      "version": "1.0.5",
+      "resolved": "https://registry.npmjs.org/escape-string-regexp/-/escape-string-regexp-1.0.5.tgz",
+      "integrity": "sha512-vbRorB5FUQWvla16U8R/qgaFIya2qGzwDrNmCZuYKrbdSUMG6I1ZCGQRefkRVhuOkIGVne7BQ35DSfo1qvJqFg==",
+      "engines": {
+        "node": ">=0.8.0"
+      }
+    },
+    "node_modules/escodegen": {
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/escodegen/-/escodegen-2.1.0.tgz",
+      "integrity": "sha512-2NlIDTwUWJN0mRPQOdtQBzbUHvdGY2P1VXSyU83Q3xKxM7WHX2Ql8dKq782Q9TgQUNOLEzEYu9bzLNj1q88I5w==",
+      "dependencies": {
+        "esprima": "^4.0.1",
+        "estraverse": "^5.2.0",
+        "esutils": "^2.0.2"
+      },
+      "bin": {
+        "escodegen": "bin/escodegen.js",
+        "esgenerate": "bin/esgenerate.js"
+      },
       "engines": {
-        "node": ">=10.6.0"
+        "node": ">=6.0"
+      },
+      "optionalDependencies": {
+        "source-map": "~0.6.1"
       }
     },
-    "node_modules/cacheable-request": {
-      "version": "7.0.4",
-      "resolved": "https://registry.npmjs.org/cacheable-request/-/cacheable-request-7.0.4.tgz",
-      "integrity": "sha512-v+p6ongsrp0yTGbJXjgxPow2+DL93DASP4kXCDKb8/bwRtt9OEF3whggkkDkGNzgcWy2XaF4a8nZglC7uElscg==",
-      "dev": true,
-      "dependencies": {
-        "clone-response": "^1.0.2",
-        "get-stream": "^5.1.0",
-        "http-cache-semantics": "^4.0.0",
-        "keyv": "^4.0.0",
-        "lowercase-keys": "^2.0.0",
-        "normalize-url": "^6.0.1",
-        "responselike": "^2.0.0"
-      },
+    "node_modules/escodegen/node_modules/source-map": {
+      "version": "0.6.1",
+      "resolved": "https://registry.npmjs.org/source-map/-/source-map-0.6.1.tgz",
+      "integrity": "sha512-UjgapumWlbMhkBgzT7Ykc5YXUT46F0iKu8SGXq0bcwP5dz/h0Plj6enJqjz1Zbq2l5WaqYnrVbwWOWMyF3F47g==",
+      "optional": true,
       "engines": {
-        "node": ">=8"
+        "node": ">=0.10.0"
       }
     },
-    "node_modules/cacheable-request/node_modules/get-stream": {
-      "version": "5.2.0",
-      "resolved": "https://registry.npmjs.org/get-stream/-/get-stream-5.2.0.tgz",
-      "integrity": "sha512-nBF+F1rAZVCu/p7rjzgA+Yb4lfYXrpl7a6VmJrU8wF9I1CKvP/QwPNZHnOlwbTkY6dvtFIzFMSyQXbLoTQPRpA==",
+    "node_modules/eslint": {
+      "version": "9.5.0",
+      "resolved": "https://registry.npmjs.org/eslint/-/eslint-9.5.0.tgz",
+      "integrity": "sha512-+NAOZFrW/jFTS3dASCGBxX1pkFD0/fsO+hfAkJ4TyYKwgsXZbqzrw+seCYFCcPCYXvnD67tAnglU7GQTz6kcVw==",
       "dev": true,
       "dependencies": {
-        "pump": "^3.0.0"
+        "@eslint-community/eslint-utils": "^4.2.0",
+        "@eslint-community/regexpp": "^4.6.1",
+        "@eslint/config-array": "^0.16.0",
+        "@eslint/eslintrc": "^3.1.0",
+        "@eslint/js": "9.5.0",
+        "@humanwhocodes/module-importer": "^1.0.1",
+        "@humanwhocodes/retry": "^0.3.0",
+        "@nodelib/fs.walk": "^1.2.8",
+        "ajv": "^6.12.4",
+        "chalk": "^4.0.0",
+        "cross-spawn": "^7.0.2",
+        "debug": "^4.3.2",
+        "escape-string-regexp": "^4.0.0",
+        "eslint-scope": "^8.0.1",
+        "eslint-visitor-keys": "^4.0.0",
+        "espree": "^10.0.1",
+        "esquery": "^1.5.0",
+        "esutils": "^2.0.2",
+        "fast-deep-equal": "^3.1.3",
+        "file-entry-cache": "^8.0.0",
+        "find-up": "^5.0.0",
+        "glob-parent": "^6.0.2",
+        "ignore": "^5.2.0",
+        "imurmurhash": "^0.1.4",
+        "is-glob": "^4.0.0",
+        "is-path-inside": "^3.0.3",
+        "json-stable-stringify-without-jsonify": "^1.0.1",
+        "levn": "^0.4.1",
+        "lodash.merge": "^4.6.2",
+        "minimatch": "^3.1.2",
+        "natural-compare": "^1.4.0",
+        "optionator": "^0.9.3",
+        "strip-ansi": "^6.0.1",
+        "text-table": "^0.2.0"
+      },
+      "bin": {
+        "eslint": "bin/eslint.js"
       },
       "engines": {
-        "node": ">=8"
+        "node": "^18.18.0 || ^20.9.0 || >=21.1.0"
       },
       "funding": {
-        "url": "https://github.com/sponsors/sindresorhus"
+        "url": "https://eslint.org/donate"
       }
     },
-    "node_modules/call-bind": {
-      "version": "1.0.6",
-      "resolved": "https://registry.npmjs.org/call-bind/-/call-bind-1.0.6.tgz",
-      "integrity": "sha512-Mj50FLHtlsoVfRfnHaZvyrooHcrlceNZdL/QBvJJVd9Ta55qCQK0gs4ss2oZDeV9zFCs6ewzYgVE5yfVmfFpVg==",
+    "node_modules/eslint-scope": {
+      "version": "8.0.1",
+      "resolved": "https://registry.npmjs.org/eslint-scope/-/eslint-scope-8.0.1.tgz",
+      "integrity": "sha512-pL8XjgP4ZOmmwfFE8mEhSxA7ZY4C+LWyqjQ3o4yWkkmD0qcMT9kkW3zWHOczhWcjTSgqycYAgwSlXvZltv65og==",
       "dev": true,
       "dependencies": {
-        "es-errors": "^1.3.0",
-        "function-bind": "^1.1.2",
-        "get-intrinsic": "^1.2.3",
-        "set-function-length": "^1.2.0"
+        "esrecurse": "^4.3.0",
+        "estraverse": "^5.2.0"
       },
       "engines": {
-        "node": ">= 0.4"
+        "node": "^18.18.0 || ^20.9.0 || >=21.1.0"
       },
       "funding": {
-        "url": "https://github.com/sponsors/ljharb"
-      }
-    },
-    "node_modules/callsites": {
-      "version": "3.1.0",
-      "resolved": "https://registry.npmjs.org/callsites/-/callsites-3.1.0.tgz",
-      "integrity": "sha512-P8BjAsXvZS+VIDUI11hHCQEv74YT67YUi5JJFNWIqL235sBmjX4+qx9Muvls5ivyNENctx46xQLQ3aTuE7ssaQ==",
-      "engines": {
-        "node": ">=6"
+        "url": "https://opencollective.com/eslint"
       }
     },
-    "node_modules/camelcase": {
-      "version": "6.3.0",
-      "resolved": "https://registry.npmjs.org/camelcase/-/camelcase-6.3.0.tgz",
-      "integrity": "sha512-Gmy6FhYlCY7uOElZUSbxo2UCDH8owEk996gkbrpsgGtrJLM3J7jGxl9Ic7Qwwj4ivOE5AWZWRMecDdF7hqGjFA==",
+    "node_modules/eslint-visitor-keys": {
+      "version": "4.0.0",
+      "resolved": "https://registry.npmjs.org/eslint-visitor-keys/-/eslint-visitor-keys-4.0.0.tgz",
+      "integrity": "sha512-OtIRv/2GyiF6o/d8K7MYKKbXrOUBIK6SfkIRM4Z0dY3w+LiQ0vy3F57m0Z71bjbyeiWFiHJ8brqnmE6H6/jEuw==",
+      "dev": true,
       "engines": {
-        "node": ">=10"
+        "node": "^18.18.0 || ^20.9.0 || >=21.1.0"
       },
       "funding": {
-        "url": "https://github.com/sponsors/sindresorhus"
+        "url": "https://opencollective.com/eslint"
       }
     },
-    "node_modules/camelcase-css": {
-      "version": "2.0.1",
-      "resolved": "https://registry.npmjs.org/camelcase-css/-/camelcase-css-2.0.1.tgz",
-      "integrity": "sha512-QOSvevhslijgYwRx6Rv7zKdMF8lbRmx+uQGx2+vDc+KI/eBnsy9kit5aj23AgGu3pa4t9AgwbnXWqS+iOY+2aA==",
+    "node_modules/eslint/node_modules/ansi-styles": {
+      "version": "4.3.0",
+      "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-4.3.0.tgz",
+      "integrity": "sha512-zbB9rCJAT1rbjiVDb2hqKFHNYLxgtk8NURxZ3IZwD3F6NtxbXZQCnnSi1Lkx+IDohdPlFp222wVALIheZJQSEg==",
+      "dev": true,
+      "dependencies": {
+        "color-convert": "^2.0.1"
+      },
       "engines": {
-        "node": ">= 6"
+        "node": ">=8"
+      },
+      "funding": {
+        "url": "https://github.com/chalk/ansi-styles?sponsor=1"
       }
     },
-    "node_modules/caniuse-lite": {
-      "version": "1.0.30001584",
-      "resolved": "https://registry.npmjs.org/caniuse-lite/-/caniuse-lite-1.0.30001584.tgz",
-      "integrity": "sha512-LOz7CCQ9M1G7OjJOF9/mzmqmj3jE/7VOmrfw6Mgs0E8cjOsbRXQJHsPBfmBOXDskXKrHLyyW3n7kpDW/4BsfpQ==",
-      "funding": [
-        {
-          "type": "opencollective",
-          "url": "https://opencollective.com/browserslist"
-        },
-        {
-          "type": "tidelift",
-          "url": "https://tidelift.com/funding/github/npm/caniuse-lite"
-        },
-        {
-          "type": "github",
-          "url": "https://github.com/sponsors/ai"
-        }
-      ]
-    },
-    "node_modules/ccount": {
-      "version": "2.0.1",
-      "resolved": "https://registry.npmjs.org/ccount/-/ccount-2.0.1.tgz",
-      "integrity": "sha512-eyrF0jiFpY+3drT6383f1qhkbGsLSifNAjA61IUjZjmLCWjItY6LB9ft9YhoDgwfmclB2zhu51Lc7+95b8NRAg==",
-      "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/wooorm"
+    "node_modules/eslint/node_modules/brace-expansion": {
+      "version": "1.1.11",
+      "resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-1.1.11.tgz",
+      "integrity": "sha512-iCuPHDFgrHX7H2vEI/5xpz07zSHB00TpugqhmYtVmMO6518mCuRMoOYFldEBl0g187ufozdaHgWKcYFb61qGiA==",
+      "dev": true,
+      "dependencies": {
+        "balanced-match": "^1.0.0",
+        "concat-map": "0.0.1"
       }
     },
-    "node_modules/chalk": {
+    "node_modules/eslint/node_modules/chalk": {
       "version": "4.1.2",
       "resolved": "https://registry.npmjs.org/chalk/-/chalk-4.1.2.tgz",
       "integrity": "sha512-oKnbhFyRIXpUuez8iBMmyEa4nbj4IOQyuhc/wy9kY7/WVPcwIO9VA668Pu8RkO7+0G76SLROeyw9CpQ061i4mA==",
@@ -4660,229 +7085,170 @@
         "url": "https://github.com/chalk/chalk?sponsor=1"
       }
     },
-    "node_modules/character-entities": {
-      "version": "1.2.4",
-      "resolved": "https://registry.npmjs.org/character-entities/-/character-entities-1.2.4.tgz",
-      "integrity": "sha512-iBMyeEHxfVnIakwOuDXpVkc54HijNgCyQB2w0VfGQThle6NXn50zU6V/u+LDhxHcDUPojn6Kpga3PTAD8W1bQw==",
-      "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/wooorm"
-      }
-    },
-    "node_modules/character-entities-legacy": {
-      "version": "1.1.4",
-      "resolved": "https://registry.npmjs.org/character-entities-legacy/-/character-entities-legacy-1.1.4.tgz",
-      "integrity": "sha512-3Xnr+7ZFS1uxeiUDvV02wQ+QDbc55o97tIV5zHScSPJpcLm/r0DFPcoY3tYRp+VZukxuMeKgXYmsXQHO05zQeA==",
-      "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/wooorm"
-      }
-    },
-    "node_modules/character-reference-invalid": {
-      "version": "1.1.4",
-      "resolved": "https://registry.npmjs.org/character-reference-invalid/-/character-reference-invalid-1.1.4.tgz",
-      "integrity": "sha512-mKKUkUbhPpQlCOfIuZkvSEgktjPFIsZKRRbC6KWVEMvlzblj3i3asQv5ODsrwt0N3pHAEvjP8KTQPHkp0+6jOg==",
-      "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/wooorm"
-      }
-    },
-    "node_modules/chokidar": {
-      "version": "3.5.3",
-      "resolved": "https://registry.npmjs.org/chokidar/-/chokidar-3.5.3.tgz",
-      "integrity": "sha512-Dr3sfKRP6oTcjf2JmUmFJfeVMvXBdegxB0iVQ5eb2V10uFJUCAS8OByZdVAyVb8xXNz3GjjTgj9kLWsZTqE6kw==",
-      "funding": [
-        {
-          "type": "individual",
-          "url": "https://paulmillr.com/funding/"
-        }
-      ],
+    "node_modules/eslint/node_modules/color-convert": {
+      "version": "2.0.1",
+      "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-2.0.1.tgz",
+      "integrity": "sha512-RRECPsj7iu/xb5oKYcsFHSppFNnsj/52OVTRKb4zP5onXwVF3zVmmToNcOfGC+CRDpfK/U584fMg38ZHCaElKQ==",
+      "dev": true,
       "dependencies": {
-        "anymatch": "~3.1.2",
-        "braces": "~3.0.2",
-        "glob-parent": "~5.1.2",
-        "is-binary-path": "~2.1.0",
-        "is-glob": "~4.0.1",
-        "normalize-path": "~3.0.0",
-        "readdirp": "~3.6.0"
+        "color-name": "~1.1.4"
       },
       "engines": {
-        "node": ">= 8.10.0"
-      },
-      "optionalDependencies": {
-        "fsevents": "~2.3.2"
-      }
-    },
-    "node_modules/class-variance-authority": {
-      "version": "0.6.1",
-      "resolved": "https://registry.npmjs.org/class-variance-authority/-/class-variance-authority-0.6.1.tgz",
-      "integrity": "sha512-eurOEGc7YVx3majOrOb099PNKgO3KnKSApOprXI4BTq6bcfbqbQXPN2u+rPPmIJ2di23bMwhk0SxCCthBmszEQ==",
-      "dependencies": {
-        "clsx": "1.2.1"
-      },
-      "funding": {
-        "url": "https://joebell.co.uk"
+        "node": ">=7.0.0"
       }
     },
-    "node_modules/classcat": {
-      "version": "5.0.4",
-      "resolved": "https://registry.npmjs.org/classcat/-/classcat-5.0.4.tgz",
-      "integrity": "sha512-sbpkOw6z413p+HDGcBENe498WM9woqWHiJxCq7nvmxe9WmrUmqfAcxpIwAiMtM5Q3AhYkzXcNQHqsWq0mND51g=="
-    },
-    "node_modules/classnames": {
-      "version": "2.5.1",
-      "resolved": "https://registry.npmjs.org/classnames/-/classnames-2.5.1.tgz",
-      "integrity": "sha512-saHYOzhIQs6wy2sVxTM6bUDsQO4F50V9RQ22qBpEdCW+I+/Wmke2HOl6lS6dTpdxVhb88/I6+Hs+438c3lfUow=="
+    "node_modules/eslint/node_modules/color-name": {
+      "version": "1.1.4",
+      "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz",
+      "integrity": "sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA==",
+      "dev": true
     },
-    "node_modules/cli-cursor": {
+    "node_modules/eslint/node_modules/escape-string-regexp": {
       "version": "4.0.0",
-      "resolved": "https://registry.npmjs.org/cli-cursor/-/cli-cursor-4.0.0.tgz",
-      "integrity": "sha512-VGtlMu3x/4DOtIUwEkRezxUZ2lBacNJCHash0N0WeZDBS+7Ux1dm3XWAgWYxLJFMMdOeXMHXorshEFhbMSGelg==",
-      "dependencies": {
-        "restore-cursor": "^4.0.0"
-      },
-      "engines": {
-        "node": "^12.20.0 || ^14.13.1 || >=16.0.0"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/sindresorhus"
-      }
-    },
-    "node_modules/cli-spinners": {
-      "version": "2.9.2",
-      "resolved": "https://registry.npmjs.org/cli-spinners/-/cli-spinners-2.9.2.tgz",
-      "integrity": "sha512-ywqV+5MmyL4E7ybXgKys4DugZbX0FC6LnwrhjuykIjnK9k8OQacQ7axGKnjDXWNhns0xot3bZI5h55H8yo9cJg==",
+      "resolved": "https://registry.npmjs.org/escape-string-regexp/-/escape-string-regexp-4.0.0.tgz",
+      "integrity": "sha512-TtpcNJ3XAzx3Gq8sWRzJaVajRs0uVxA2YAkdb1jm2YkPz4G6egUFAyA3n5vtEIZefPk5Wa4UXbKuS5fKkJWdgA==",
+      "dev": true,
       "engines": {
-        "node": ">=6"
+        "node": ">=10"
       },
       "funding": {
         "url": "https://github.com/sponsors/sindresorhus"
       }
     },
-    "node_modules/client-only": {
-      "version": "0.0.1",
-      "resolved": "https://registry.npmjs.org/client-only/-/client-only-0.0.1.tgz",
-      "integrity": "sha512-IV3Ou0jSMzZrd3pZ48nLkT9DA7Ag1pnPzaiQhpW7c3RbcqqzvzzVu+L8gfqMp/8IM2MQtSiqaCxrrcfu8I8rMA=="
-    },
-    "node_modules/clone": {
-      "version": "1.0.4",
-      "resolved": "https://registry.npmjs.org/clone/-/clone-1.0.4.tgz",
-      "integrity": "sha512-JQHZ2QMW6l3aH/j6xCqQThY/9OH4D/9ls34cgkUBiEeocRTU04tHfKPBsUK1PqZCUQM7GiA0IIXJSuXHI64Kbg==",
+    "node_modules/eslint/node_modules/has-flag": {
+      "version": "4.0.0",
+      "resolved": "https://registry.npmjs.org/has-flag/-/has-flag-4.0.0.tgz",
+      "integrity": "sha512-EykJT/Q1KjTWctppgIAgfSO0tKVuZUjhgMr17kqTumMl6Afv3EISleU7qZUzoXDFTAHTDC4NOoG/ZxU3EvlMPQ==",
+      "dev": true,
       "engines": {
-        "node": ">=0.8"
+        "node": ">=8"
       }
     },
-    "node_modules/clone-response": {
-      "version": "1.0.3",
-      "resolved": "https://registry.npmjs.org/clone-response/-/clone-response-1.0.3.tgz",
-      "integrity": "sha512-ROoL94jJH2dUVML2Y/5PEDNaSHgeOdSDicUyS7izcF63G6sTc/FTjLub4b8Il9S8S0beOfYt0TaA5qvFK+w0wA==",
+    "node_modules/eslint/node_modules/minimatch": {
+      "version": "3.1.2",
+      "resolved": "https://registry.npmjs.org/minimatch/-/minimatch-3.1.2.tgz",
+      "integrity": "sha512-J7p63hRiAjw1NDEww1W7i37+ByIrOWO5XQQAzZ3VOcL0PNybwpfmV/N05zFAzwQ9USyEcX6t3UO+K5aqBQOIHw==",
       "dev": true,
       "dependencies": {
-        "mimic-response": "^1.0.0"
+        "brace-expansion": "^1.1.7"
       },
-      "funding": {
-        "url": "https://github.com/sponsors/sindresorhus"
-      }
-    },
-    "node_modules/clsx": {
-      "version": "1.2.1",
-      "resolved": "https://registry.npmjs.org/clsx/-/clsx-1.2.1.tgz",
-      "integrity": "sha512-EcR6r5a8bj6pu3ycsa/E/cKVGuTgZJZdsyUYHOksG/UHIiKfjxzRxYJpyVBwYaQeOvghal9fcc4PidlgzugAQg==",
       "engines": {
-        "node": ">=6"
+        "node": "*"
       }
     },
-    "node_modules/code-block-writer": {
-      "version": "12.0.0",
-      "resolved": "https://registry.npmjs.org/code-block-writer/-/code-block-writer-12.0.0.tgz",
-      "integrity": "sha512-q4dMFMlXtKR3XNBHyMHt/3pwYNA69EDk00lloMOaaUMKPUXBw6lpXtbu3MMVG6/uOihGnRDOlkyqsONEUj60+w=="
-    },
-    "node_modules/color-convert": {
-      "version": "2.0.1",
-      "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-2.0.1.tgz",
-      "integrity": "sha512-RRECPsj7iu/xb5oKYcsFHSppFNnsj/52OVTRKb4zP5onXwVF3zVmmToNcOfGC+CRDpfK/U584fMg38ZHCaElKQ==",
+    "node_modules/eslint/node_modules/supports-color": {
+      "version": "7.2.0",
+      "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-7.2.0.tgz",
+      "integrity": "sha512-qpCAvRl9stuOHveKsn7HncJRvv501qIacKzQlO/+Lwxc9+0q2wLyv4Dfvt80/DPn2pqOBsJdDiogXGR9+OvwRw==",
+      "dev": true,
       "dependencies": {
-        "color-name": "~1.1.4"
+        "has-flag": "^4.0.0"
       },
       "engines": {
-        "node": ">=7.0.0"
+        "node": ">=8"
       }
     },
-    "node_modules/color-name": {
-      "version": "1.1.4",
-      "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz",
-      "integrity": "sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA=="
+    "node_modules/esm": {
+      "version": "3.2.25",
+      "resolved": "https://registry.npmjs.org/esm/-/esm-3.2.25.tgz",
+      "integrity": "sha512-U1suiZ2oDVWv4zPO56S0NcR5QriEahGtdN2OR6FiOG4WJvcjBVFB0qI4+eKoWFH483PKGuLuu6V8Z4T5g63UVA==",
+      "engines": {
+        "node": ">=6"
+      }
     },
-    "node_modules/combined-stream": {
-      "version": "1.0.8",
-      "resolved": "https://registry.npmjs.org/combined-stream/-/combined-stream-1.0.8.tgz",
-      "integrity": "sha512-FQN4MRfuJeHf7cBbBMJFXhKSDq+2kAArBlmRBvcvFE5BB1HZKXtSFASDhdlz9zOYwxh8lDdnvmMOe/+5cdoEdg==",
+    "node_modules/espree": {
+      "version": "10.1.0",
+      "resolved": "https://registry.npmjs.org/espree/-/espree-10.1.0.tgz",
+      "integrity": "sha512-M1M6CpiE6ffoigIOWYO9UDP8TMUw9kqb21tf+08IgDYjCsOvCuDt4jQcZmoYxx+w7zlKw9/N0KXfto+I8/FrXA==",
+      "dev": true,
       "dependencies": {
-        "delayed-stream": "~1.0.0"
+        "acorn": "^8.12.0",
+        "acorn-jsx": "^5.3.2",
+        "eslint-visitor-keys": "^4.0.0"
       },
       "engines": {
-        "node": ">= 0.8"
+        "node": "^18.18.0 || ^20.9.0 || >=21.1.0"
+      },
+      "funding": {
+        "url": "https://opencollective.com/eslint"
       }
     },
-    "node_modules/comma-separated-tokens": {
-      "version": "2.0.3",
-      "resolved": "https://registry.npmjs.org/comma-separated-tokens/-/comma-separated-tokens-2.0.3.tgz",
-      "integrity": "sha512-Fu4hJdvzeylCfQPp9SGWidpzrMs7tTrlu6Vb8XGaRGck8QSNZJJp538Wrb60Lax4fPwR64ViY468OIUTbRlGZg==",
-      "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/wooorm"
+    "node_modules/esprima": {
+      "version": "4.0.1",
+      "resolved": "https://registry.npmjs.org/esprima/-/esprima-4.0.1.tgz",
+      "integrity": "sha512-eGuFFw7Upda+g4p+QHvnW0RyTX/SVeJBDM/gCtMARO0cLuT2HcEKnTPvhjV6aGeqrCB/sbNop0Kszm0jsaWU4A==",
+      "bin": {
+        "esparse": "bin/esparse.js",
+        "esvalidate": "bin/esvalidate.js"
+      },
+      "engines": {
+        "node": ">=4"
       }
     },
-    "node_modules/commander": {
-      "version": "7.2.0",
-      "resolved": "https://registry.npmjs.org/commander/-/commander-7.2.0.tgz",
-      "integrity": "sha512-QrWXB+ZQSVPmIWIhtEO9H+gwHaMGYiF5ChvoJ+K9ZGHG/sVsa6yiesAD1GC/x46sET00Xlwo1u49RVVVzvcSkw==",
+    "node_modules/esquery": {
+      "version": "1.5.0",
+      "resolved": "https://registry.npmjs.org/esquery/-/esquery-1.5.0.tgz",
+      "integrity": "sha512-YQLXUplAwJgCydQ78IMJywZCceoqk1oH01OERdSAJc/7U2AylwjhSCLDEtqwg811idIS/9fIU5GjG73IgjKMVg==",
       "dev": true,
+      "dependencies": {
+        "estraverse": "^5.1.0"
+      },
       "engines": {
-        "node": ">= 10"
+        "node": ">=0.10"
       }
     },
-    "node_modules/content-disposition": {
-      "version": "0.5.4",
-      "resolved": "https://registry.npmjs.org/content-disposition/-/content-disposition-0.5.4.tgz",
-      "integrity": "sha512-FveZTNuGw04cxlAiWbzi6zTAL/lhehaWbTtgluJh4/E95DqMwTmha3KZN1aAWA8cFIhHzMZUvLevkw5Rqk+tSQ==",
+    "node_modules/esrecurse": {
+      "version": "4.3.0",
+      "resolved": "https://registry.npmjs.org/esrecurse/-/esrecurse-4.3.0.tgz",
+      "integrity": "sha512-KmfKL3b6G+RXvP8N1vr3Tq1kL/oCFgn2NYXEtqP8/L3pKapUA4G8cFVaoF3SU323CD4XypR/ffioHmkti6/Tag==",
       "dev": true,
       "dependencies": {
-        "safe-buffer": "5.2.1"
+        "estraverse": "^5.2.0"
       },
       "engines": {
-        "node": ">= 0.6"
+        "node": ">=4.0"
       }
     },
-    "node_modules/convert-source-map": {
-      "version": "1.9.0",
-      "resolved": "https://registry.npmjs.org/convert-source-map/-/convert-source-map-1.9.0.tgz",
-      "integrity": "sha512-ASFBup0Mz1uyiIjANan1jzLQami9z1PoYSZCiiYW2FczPbenXc45FZdBZLzOT+r6+iciuEModtmCti+hjaAk0A=="
+    "node_modules/estraverse": {
+      "version": "5.3.0",
+      "resolved": "https://registry.npmjs.org/estraverse/-/estraverse-5.3.0.tgz",
+      "integrity": "sha512-MMdARuVEQziNTeJD8DgMqmhwR11BRQ/cBP+pLtYdSTnf3MIO8fFeiINEbX36ZdNlfU/7A9f3gUw49B3oQsvwBA==",
+      "engines": {
+        "node": ">=4.0"
+      }
     },
-    "node_modules/cookie": {
-      "version": "0.4.2",
-      "resolved": "https://registry.npmjs.org/cookie/-/cookie-0.4.2.tgz",
-      "integrity": "sha512-aSWTXFzaKWkvHO1Ny/s+ePFpvKsPnjc551iI41v3ny/ow6tBG5Vd+FuqGNhh1LxOmVzOlGUriIlOaokOvhaStA==",
+    "node_modules/estree-walker": {
+      "version": "2.0.2",
+      "resolved": "https://registry.npmjs.org/estree-walker/-/estree-walker-2.0.2.tgz",
+      "integrity": "sha512-Rfkk/Mp/DL7JVje3u18FxFujQlTNR2q6QfMSMB7AvCBx91NGj/ba3kCfza0f6dVDbw7YlRf/nDrn7pQrCCyQ/w=="
+    },
+    "node_modules/esutils": {
+      "version": "2.0.3",
+      "resolved": "https://registry.npmjs.org/esutils/-/esutils-2.0.3.tgz",
+      "integrity": "sha512-kVscqXk4OCp68SZ0dkgEKVi6/8ij300KBWTJq32P/dYeWTSwK41WyTxalN1eRmA5Z9UU/LX9D7FWSmV9SAYx6g==",
       "engines": {
-        "node": ">= 0.6"
+        "node": ">=0.10.0"
       }
     },
-    "node_modules/cosmiconfig": {
-      "version": "7.1.0",
-      "resolved": "https://registry.npmjs.org/cosmiconfig/-/cosmiconfig-7.1.0.tgz",
-      "integrity": "sha512-AdmX6xUzdNASswsFtmwSt7Vj8po9IuqXm0UXz7QKPuEUmPB4XyjGfaAr2PSuELMwkRMVH1EpIkX5bTZGRB3eCA==",
+    "node_modules/execa": {
+      "version": "0.7.0",
+      "resolved": "https://registry.npmjs.org/execa/-/execa-0.7.0.tgz",
+      "integrity": "sha512-RztN09XglpYI7aBBrJCPW95jEH7YF1UEPOoX9yDhUTPdp7mK+CQvnLTuD10BNXZ3byLTu2uehZ8EcKT/4CGiFw==",
+      "dev": true,
       "dependencies": {
-        "@types/parse-json": "^4.0.0",
-        "import-fresh": "^3.2.1",
-        "parse-json": "^5.0.0",
-        "path-type": "^4.0.0",
-        "yaml": "^1.10.0"
+        "cross-spawn": "^5.0.1",
+        "get-stream": "^3.0.0",
+        "is-stream": "^1.1.0",
+        "npm-run-path": "^2.0.0",
+        "p-finally": "^1.0.0",
+        "signal-exit": "^3.0.0",
+        "strip-eof": "^1.0.0"
       },
       "engines": {
-        "node": ">=10"
+        "node": ">=4"
       }
     },
-    "node_modules/cross-spawn": {
+    "node_modules/execa/node_modules/cross-spawn": {
       "version": "5.1.0",
       "resolved": "https://registry.npmjs.org/cross-spawn/-/cross-spawn-5.1.0.tgz",
       "integrity": "sha512-pTgQJ5KC0d2hcY8eyL1IzlBPYjTkyH72XRZPnLyKus2mBfNjQs3klqbJU2VILqZryAZUt9JOb3h/mWMy23/f5A==",
@@ -4893,1195 +7259,1297 @@
         "which": "^1.2.9"
       }
     },
-    "node_modules/css-selector-tokenizer": {
-      "version": "0.8.0",
-      "resolved": "https://registry.npmjs.org/css-selector-tokenizer/-/css-selector-tokenizer-0.8.0.tgz",
-      "integrity": "sha512-Jd6Ig3/pe62/qe5SBPTN8h8LeUg/pT4lLgtavPf7updwwHpvFzxvOQBHYj2LZDMjUnBzgvIUSjRcf6oT5HzHFg==",
+    "node_modules/execa/node_modules/lru-cache": {
+      "version": "4.1.5",
+      "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-4.1.5.tgz",
+      "integrity": "sha512-sWZlbEP2OsHNkXrMl5GYk/jKk70MBng6UU4YI/qGDYbgf6YbP4EvmqISbXCoJiRKs+1bSpFHVgQxvJ17F2li5g==",
       "dev": true,
       "dependencies": {
-        "cssesc": "^3.0.0",
-        "fastparse": "^1.1.2"
+        "pseudomap": "^1.0.2",
+        "yallist": "^2.1.2"
       }
     },
-    "node_modules/css.escape": {
-      "version": "1.5.1",
-      "resolved": "https://registry.npmjs.org/css.escape/-/css.escape-1.5.1.tgz",
-      "integrity": "sha512-YUifsXXuknHlUsmlgyY0PKzgPOr7/FjCePfHNt0jxm83wHZi44VDMQ7/fGNkjY3/jV1MC+1CmZbaHzugyeRtpg==",
-      "dev": true
+    "node_modules/execa/node_modules/shebang-command": {
+      "version": "1.2.0",
+      "resolved": "https://registry.npmjs.org/shebang-command/-/shebang-command-1.2.0.tgz",
+      "integrity": "sha512-EV3L1+UQWGor21OmnvojK36mhg+TyIKDh3iFBKBohr5xeXIhNBcx8oWdgkTEEQ+BEFFYdLRuqMfd5L84N1V5Vg==",
+      "dev": true,
+      "dependencies": {
+        "shebang-regex": "^1.0.0"
+      },
+      "engines": {
+        "node": ">=0.10.0"
+      }
     },
-    "node_modules/cssesc": {
-      "version": "3.0.0",
-      "resolved": "https://registry.npmjs.org/cssesc/-/cssesc-3.0.0.tgz",
-      "integrity": "sha512-/Tb/JcjK111nNScGob5MNtsntNM1aCNUDipB/TkwZFhyDrrE47SOx/18wF2bbjgc3ZzCSKW1T5nt5EbFoAz/Vg==",
+    "node_modules/execa/node_modules/shebang-regex": {
+      "version": "1.0.0",
+      "resolved": "https://registry.npmjs.org/shebang-regex/-/shebang-regex-1.0.0.tgz",
+      "integrity": "sha512-wpoSFAxys6b2a2wHZ1XpDSgD7N9iVjg29Ph9uV/uaP9Ex/KXlkTZTeddxDPSYQpgvzKLGJke2UU0AzoGCjNIvQ==",
+      "dev": true,
+      "engines": {
+        "node": ">=0.10.0"
+      }
+    },
+    "node_modules/execa/node_modules/which": {
+      "version": "1.3.1",
+      "resolved": "https://registry.npmjs.org/which/-/which-1.3.1.tgz",
+      "integrity": "sha512-HxJdYWq1MTIQbJ3nw0cqssHoTNU267KlrDuGZ1WYlxDStUtKUhOaJmh112/TZmHxxUfuJqPXSOm7tDyas0OSIQ==",
+      "dev": true,
+      "dependencies": {
+        "isexe": "^2.0.0"
+      },
       "bin": {
-        "cssesc": "bin/cssesc"
+        "which": "bin/which"
+      }
+    },
+    "node_modules/execa/node_modules/yallist": {
+      "version": "2.1.2",
+      "resolved": "https://registry.npmjs.org/yallist/-/yallist-2.1.2.tgz",
+      "integrity": "sha512-ncTzHV7NvsQZkYe1DW7cbDLm0YpzHmZF5r/iyP3ZnQtMiJ+pjzisCiMNI+Sj+xQF5pXhSHxSB3uDbsBTzY/c2A==",
+      "dev": true
+    },
+    "node_modules/executable": {
+      "version": "4.1.1",
+      "resolved": "https://registry.npmjs.org/executable/-/executable-4.1.1.tgz",
+      "integrity": "sha512-8iA79xD3uAch729dUG8xaaBBFGaEa0wdD2VkYLFHwlqosEj/jT66AzcreRDSgV7ehnNLBW2WR5jIXwGKjVdTLg==",
+      "dev": true,
+      "dependencies": {
+        "pify": "^2.2.0"
       },
       "engines": {
         "node": ">=4"
       }
     },
-    "node_modules/cssom": {
-      "version": "0.5.0",
-      "resolved": "https://registry.npmjs.org/cssom/-/cssom-0.5.0.tgz",
-      "integrity": "sha512-iKuQcq+NdHqlAcwUY0o/HL69XQrUaQdMjmStJ8JFmUaiiQErlhrmuigkg/CU4E2J0IyUKUrMAgl36TvN67MqTw=="
+    "node_modules/expect": {
+      "version": "29.7.0",
+      "resolved": "https://registry.npmjs.org/expect/-/expect-29.7.0.tgz",
+      "integrity": "sha512-2Zks0hf1VLFYI1kbh0I5jP3KHHyCHpkfyHBzsSXRFgl/Bg9mWYfMW8oD+PdMPlEwy5HNsR9JutYy6pMeOh61nw==",
+      "dev": true,
+      "dependencies": {
+        "@jest/expect-utils": "^29.7.0",
+        "jest-get-type": "^29.6.3",
+        "jest-matcher-utils": "^29.7.0",
+        "jest-message-util": "^29.7.0",
+        "jest-util": "^29.7.0"
+      },
+      "engines": {
+        "node": "^14.15.0 || ^16.10.0 || >=18.0.0"
+      }
     },
-    "node_modules/cssstyle": {
-      "version": "2.3.0",
-      "resolved": "https://registry.npmjs.org/cssstyle/-/cssstyle-2.3.0.tgz",
-      "integrity": "sha512-AZL67abkUzIuvcHqk7c09cezpGNcxUxU4Ioi/05xHk4DQeTkWmGYftIE6ctU6AEt+Gn4n1lDStOtj7FKycP71A==",
+    "node_modules/ext-list": {
+      "version": "2.2.2",
+      "resolved": "https://registry.npmjs.org/ext-list/-/ext-list-2.2.2.tgz",
+      "integrity": "sha512-u+SQgsubraE6zItfVA0tBuCBhfU9ogSRnsvygI7wht9TS510oLkBRXBsqopeUG/GBOIQyKZO9wjTqIu/sf5zFA==",
+      "dev": true,
       "dependencies": {
-        "cssom": "~0.3.6"
+        "mime-db": "^1.28.0"
       },
       "engines": {
-        "node": ">=8"
+        "node": ">=0.10.0"
       }
     },
-    "node_modules/cssstyle/node_modules/cssom": {
-      "version": "0.3.8",
-      "resolved": "https://registry.npmjs.org/cssom/-/cssom-0.3.8.tgz",
-      "integrity": "sha512-b0tGHbfegbhPJpxpiBPU2sCkigAqtM9O121le6bbOlgyV+NyGyCmVfJ6QW9eRjz8CpNfWEOYBIMIGRYkLwsIYg=="
+    "node_modules/ext-name": {
+      "version": "5.0.0",
+      "resolved": "https://registry.npmjs.org/ext-name/-/ext-name-5.0.0.tgz",
+      "integrity": "sha512-yblEwXAbGv1VQDmow7s38W77hzAgJAO50ztBLMcUyUBfxv1HC+LGwtiEN+Co6LtlqT/5uwVOxsD4TNIilWhwdQ==",
+      "dev": true,
+      "dependencies": {
+        "ext-list": "^2.0.0",
+        "sort-keys-length": "^1.0.0"
+      },
+      "engines": {
+        "node": ">=4"
+      }
     },
-    "node_modules/csstype": {
+    "node_modules/extend": {
+      "version": "3.0.2",
+      "resolved": "https://registry.npmjs.org/extend/-/extend-3.0.2.tgz",
+      "integrity": "sha512-fjquC59cD7CyW6urNXK0FBufkZcoiGG80wTuPujX590cB5Ttln20E2UB4S/WARVqhXffZl2LNgS+gQdPIIim/g=="
+    },
+    "node_modules/fast-deep-equal": {
       "version": "3.1.3",
-      "resolved": "https://registry.npmjs.org/csstype/-/csstype-3.1.3.tgz",
-      "integrity": "sha512-M1uQkMl8rQK/szD0LNhtqxIPLpimGm8sOBwU7lLnCpSbTyY3yeU1Vc7l4KT5zT4s/yOxHH5O7tIuuLOCnLADRw=="
+      "resolved": "https://registry.npmjs.org/fast-deep-equal/-/fast-deep-equal-3.1.3.tgz",
+      "integrity": "sha512-f3qQ9oQy9j2AhBe/H9VC91wLmKBCCU/gDOnKNAYG5hswO7BLKj09Hc5HYNz9cGI++xlpDCIgDaitVs03ATR84Q==",
+      "dev": true
     },
-    "node_modules/culori": {
-      "version": "3.3.0",
-      "resolved": "https://registry.npmjs.org/culori/-/culori-3.3.0.tgz",
-      "integrity": "sha512-pHJg+jbuFsCjz9iclQBqyL3B2HLCBF71BwVNujUYEvCeQMvV97R59MNK3R2+jgJ3a1fcZgI9B3vYgz8lzr/BFQ==",
-      "dev": true,
+    "node_modules/fast-glob": {
+      "version": "3.3.2",
+      "resolved": "https://registry.npmjs.org/fast-glob/-/fast-glob-3.3.2.tgz",
+      "integrity": "sha512-oX2ruAFQwf/Orj8m737Y5adxDQO0LAB7/S5MnxCdTNDd4p6BsyIVsv9JQsATbTSq8KHRpLwIHbVlUNatxd+1Ow==",
+      "dependencies": {
+        "@nodelib/fs.stat": "^2.0.2",
+        "@nodelib/fs.walk": "^1.2.3",
+        "glob-parent": "^5.1.2",
+        "merge2": "^1.3.0",
+        "micromatch": "^4.0.4"
+      },
       "engines": {
-        "node": "^12.20.0 || ^14.13.1 || >=16.0.0"
+        "node": ">=8.6.0"
       }
     },
-    "node_modules/d3-color": {
-      "version": "3.1.0",
-      "resolved": "https://registry.npmjs.org/d3-color/-/d3-color-3.1.0.tgz",
-      "integrity": "sha512-zg/chbXyeBtMQ1LbD/WSoW2DpC3I0mpmPdW+ynRTj/x2DAWYrIY7qeZIHidozwV24m4iavr15lNwIwLxRmOxhA==",
+    "node_modules/fast-glob/node_modules/glob-parent": {
+      "version": "5.1.2",
+      "resolved": "https://registry.npmjs.org/glob-parent/-/glob-parent-5.1.2.tgz",
+      "integrity": "sha512-AOIgSQCepiJYwP3ARnGx+5VnTu2HBYdzbGP45eLw1vr3zB3vZLeyed1sC9hnbcOc9/SrMyM5RPQrkGz4aS9Zow==",
+      "dependencies": {
+        "is-glob": "^4.0.1"
+      },
       "engines": {
-        "node": ">=12"
+        "node": ">= 6"
       }
     },
-    "node_modules/d3-dispatch": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/d3-dispatch/-/d3-dispatch-3.0.1.tgz",
-      "integrity": "sha512-rzUyPU/S7rwUflMyLc1ETDeBj0NRuHKKAcvukozwhshr6g6c5d8zh4c2gQjY2bZ0dXeGLWc1PF174P2tVvKhfg==",
-      "engines": {
-        "node": ">=12"
+    "node_modules/fast-json-stable-stringify": {
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/fast-json-stable-stringify/-/fast-json-stable-stringify-2.1.0.tgz",
+      "integrity": "sha512-lhd/wF+Lk98HZoTCtlVraHtfh5XYijIjalXck7saUtuanSDyLMxnHhSXEDJqHxD7msR8D0uCmqlkwjCV8xvwHw==",
+      "dev": true
+    },
+    "node_modules/fast-levenshtein": {
+      "version": "2.0.6",
+      "resolved": "https://registry.npmjs.org/fast-levenshtein/-/fast-levenshtein-2.0.6.tgz",
+      "integrity": "sha512-DCXu6Ifhqcks7TZKY3Hxp3y6qphY5SJZmrWMDrKcERSOXWQdMhU9Ig/PYrzyw/ul9jOIyh0N4M0tbC5hodg8dw==",
+      "dev": true
+    },
+    "node_modules/fastq": {
+      "version": "1.17.1",
+      "resolved": "https://registry.npmjs.org/fastq/-/fastq-1.17.1.tgz",
+      "integrity": "sha512-sRVD3lWVIXWg6By68ZN7vho9a1pQcN/WBFaAAsDDFzlJjvoGx0P8z7V1t72grFJfJhu3YPZBuu25f7Kaw2jN1w==",
+      "dependencies": {
+        "reusify": "^1.0.4"
       }
     },
-    "node_modules/d3-drag": {
-      "version": "3.0.0",
-      "resolved": "https://registry.npmjs.org/d3-drag/-/d3-drag-3.0.0.tgz",
-      "integrity": "sha512-pWbUJLdETVA8lQNJecMxoXfH6x+mO2UQo8rSmZ+QqxcbyA3hfeprFgIT//HW2nlHChWeIIMwS2Fq+gEARkhTkg==",
+    "node_modules/fault": {
+      "version": "1.0.4",
+      "resolved": "https://registry.npmjs.org/fault/-/fault-1.0.4.tgz",
+      "integrity": "sha512-CJ0HCB5tL5fYTEA7ToAq5+kTwd++Borf1/bifxd9iT70QcXr4MRrO3Llf8Ifs70q+SJcGHFtnIE/Nw6giCtECA==",
       "dependencies": {
-        "d3-dispatch": "1 - 3",
-        "d3-selection": "3"
+        "format": "^0.2.0"
+      },
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/wooorm"
+      }
+    },
+    "node_modules/fetch-blob": {
+      "version": "3.2.0",
+      "resolved": "https://registry.npmjs.org/fetch-blob/-/fetch-blob-3.2.0.tgz",
+      "integrity": "sha512-7yAQpD2UMJzLi1Dqv7qFYnPbaPx7ZfFK6PiIxQ4PfkGPyNyl2Ugx+a/umUonmKqjhM4DnfbMvdX6otXq83soQQ==",
+      "funding": [
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/jimmywarting"
+        },
+        {
+          "type": "paypal",
+          "url": "https://paypal.me/jimmywarting"
+        }
+      ],
+      "dependencies": {
+        "node-domexception": "^1.0.0",
+        "web-streams-polyfill": "^3.0.3"
       },
       "engines": {
-        "node": ">=12"
+        "node": "^12.20 || >= 14.13"
       }
     },
-    "node_modules/d3-ease": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/d3-ease/-/d3-ease-3.0.1.tgz",
-      "integrity": "sha512-wR/XK3D3XcLIZwpbvQwQ5fK+8Ykds1ip7A2Txe0yxncXSdq1L9skcG7blcedkOX+ZcgxGAmLX1FrRGbADwzi0w==",
-      "engines": {
-        "node": ">=12"
-      }
+    "node_modules/fetch-retry": {
+      "version": "6.0.0",
+      "resolved": "https://registry.npmjs.org/fetch-retry/-/fetch-retry-6.0.0.tgz",
+      "integrity": "sha512-BUFj1aMubgib37I3v4q78fYo63Po7t4HUPTpQ6/QE6yK6cIQrP+W43FYToeTEyg5m2Y7eFUtijUuAv/PDlWuag=="
     },
-    "node_modules/d3-interpolate": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/d3-interpolate/-/d3-interpolate-3.0.1.tgz",
-      "integrity": "sha512-3bYs1rOD33uo8aqJfKP3JWPAibgw8Zm2+L9vBKEHJ2Rg+viTR7o5Mmv5mZcieN+FRYaAOWX5SJATX6k1PWz72g==",
+    "node_modules/file-entry-cache": {
+      "version": "8.0.0",
+      "resolved": "https://registry.npmjs.org/file-entry-cache/-/file-entry-cache-8.0.0.tgz",
+      "integrity": "sha512-XXTUwCvisa5oacNGRP9SfNtYBNAMi+RPwBFmblZEF7N7swHYQS6/Zfk7SRwx4D5j3CH211YNRco1DEMNVfZCnQ==",
+      "dev": true,
       "dependencies": {
-        "d3-color": "1 - 3"
+        "flat-cache": "^4.0.0"
       },
       "engines": {
-        "node": ">=12"
+        "node": ">=16.0.0"
       }
     },
-    "node_modules/d3-selection": {
-      "version": "3.0.0",
-      "resolved": "https://registry.npmjs.org/d3-selection/-/d3-selection-3.0.0.tgz",
-      "integrity": "sha512-fmTRWbNMmsmWq6xJV8D19U/gw/bwrHfNXxrIN+HfZgnzqTHp9jOmKMhsTUjXOJnZOdZY9Q28y4yebKzqDKlxlQ==",
+    "node_modules/file-saver": {
+      "version": "2.0.5",
+      "resolved": "https://registry.npmjs.org/file-saver/-/file-saver-2.0.5.tgz",
+      "integrity": "sha512-P9bmyZ3h/PRG+Nzga+rbdI4OEpNDzAVyy74uVO9ATgzLK6VtAsYybF/+TOCvrc0MO793d6+42lLyZTw7/ArVzA=="
+    },
+    "node_modules/file-type": {
+      "version": "17.1.6",
+      "resolved": "https://registry.npmjs.org/file-type/-/file-type-17.1.6.tgz",
+      "integrity": "sha512-hlDw5Ev+9e883s0pwUsuuYNu4tD7GgpUnOvykjv1Gya0ZIjuKumthDRua90VUn6/nlRKAjcxLUnHNTIUWwWIiw==",
+      "dev": true,
+      "dependencies": {
+        "readable-web-to-node-stream": "^3.0.2",
+        "strtok3": "^7.0.0-alpha.9",
+        "token-types": "^5.0.0-alpha.2"
+      },
       "engines": {
-        "node": ">=12"
+        "node": "^12.20.0 || ^14.13.1 || >=16.0.0"
+      },
+      "funding": {
+        "url": "https://github.com/sindresorhus/file-type?sponsor=1"
       }
     },
-    "node_modules/d3-timer": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/d3-timer/-/d3-timer-3.0.1.tgz",
-      "integrity": "sha512-ndfJ/JxxMd3nw31uyKoY2naivF+r29V+Lc0svZxe1JvvIRmi8hUsrMvdOwgS1o6uBHmiz91geQ0ylPP0aj1VUA==",
+    "node_modules/filename-reserved-regex": {
+      "version": "3.0.0",
+      "resolved": "https://registry.npmjs.org/filename-reserved-regex/-/filename-reserved-regex-3.0.0.tgz",
+      "integrity": "sha512-hn4cQfU6GOT/7cFHXBqeBg2TbrMBgdD0kcjLhvSQYYwm3s4B6cjvBfb7nBALJLAXqmU5xajSa7X2NnUud/VCdw==",
+      "dev": true,
       "engines": {
-        "node": ">=12"
+        "node": "^12.20.0 || ^14.13.1 || >=16.0.0"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
       }
     },
-    "node_modules/d3-transition": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/d3-transition/-/d3-transition-3.0.1.tgz",
-      "integrity": "sha512-ApKvfjsSR6tg06xrL434C0WydLr7JewBB3V+/39RMHsaXTOG0zmt/OAXeng5M5LBm0ojmxJrpomQVZ1aPvBL4w==",
+    "node_modules/filenamify": {
+      "version": "5.1.1",
+      "resolved": "https://registry.npmjs.org/filenamify/-/filenamify-5.1.1.tgz",
+      "integrity": "sha512-M45CbrJLGACfrPOkrTp3j2EcO9OBkKUYME0eiqOCa7i2poaklU0jhlIaMlr8ijLorT0uLAzrn3qXOp5684CkfA==",
+      "dev": true,
       "dependencies": {
-        "d3-color": "1 - 3",
-        "d3-dispatch": "1 - 3",
-        "d3-ease": "1 - 3",
-        "d3-interpolate": "1 - 3",
-        "d3-timer": "1 - 3"
+        "filename-reserved-regex": "^3.0.0",
+        "strip-outer": "^2.0.0",
+        "trim-repeated": "^2.0.0"
       },
       "engines": {
-        "node": ">=12"
+        "node": ">=12.20"
       },
-      "peerDependencies": {
-        "d3-selection": "2 - 3"
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
       }
     },
-    "node_modules/d3-zoom": {
-      "version": "3.0.0",
-      "resolved": "https://registry.npmjs.org/d3-zoom/-/d3-zoom-3.0.0.tgz",
-      "integrity": "sha512-b8AmV3kfQaqWAuacbPuNbL6vahnOJflOhexLzMMNLga62+/nh0JzvJ0aO/5a5MVgUFGS7Hu1P9P03o3fJkDCyw==",
+    "node_modules/fill-range": {
+      "version": "7.1.1",
+      "resolved": "https://registry.npmjs.org/fill-range/-/fill-range-7.1.1.tgz",
+      "integrity": "sha512-YsGpe3WHLK8ZYi4tWDg2Jy3ebRz2rXowDxnld4bkQB00cc/1Zw9AWnC0i9ztDJitivtQvaI9KaLyKrc+hBW0yg==",
       "dependencies": {
-        "d3-dispatch": "1 - 3",
-        "d3-drag": "2 - 3",
-        "d3-interpolate": "1 - 3",
-        "d3-selection": "2 - 3",
-        "d3-transition": "2 - 3"
+        "to-regex-range": "^5.0.1"
       },
       "engines": {
-        "node": ">=12"
+        "node": ">=8"
       }
     },
-    "node_modules/daisyui": {
-      "version": "4.6.1",
-      "resolved": "https://registry.npmjs.org/daisyui/-/daisyui-4.6.1.tgz",
-      "integrity": "sha512-IXI8ypN/hkl1AKsag1XPlWt0wfvL4NedTUtUkv/VFP5q/xDbBZrZthq3/9M2yU1egcbbLhp01rluIz0GICUc+g==",
+    "node_modules/find-up": {
+      "version": "5.0.0",
+      "resolved": "https://registry.npmjs.org/find-up/-/find-up-5.0.0.tgz",
+      "integrity": "sha512-78/PXT1wlLLDgTzDs7sjq9hzz0vXD+zn+7wypEe4fXQxCmdmqfGsEPQxmiCSQI3ajFV91bVSsvNtrJRiW6nGng==",
       "dev": true,
       "dependencies": {
-        "css-selector-tokenizer": "^0.8",
-        "culori": "^3",
-        "picocolors": "^1",
-        "postcss-js": "^4"
+        "locate-path": "^6.0.0",
+        "path-exists": "^4.0.0"
       },
       "engines": {
-        "node": ">=16.9.0"
+        "node": ">=10"
       },
       "funding": {
-        "type": "opencollective",
-        "url": "https://opencollective.com/daisyui"
-      }
-    },
-    "node_modules/data-uri-to-buffer": {
-      "version": "4.0.1",
-      "resolved": "https://registry.npmjs.org/data-uri-to-buffer/-/data-uri-to-buffer-4.0.1.tgz",
-      "integrity": "sha512-0R9ikRb668HB7QDxT1vkpuUBtqc53YyAwMwGeUFKRojY/NWKvdZ+9UYtRfGmhqNbRkTSVpMbmyhXipFFv2cb/A==",
-      "engines": {
-        "node": ">= 12"
+        "url": "https://github.com/sponsors/sindresorhus"
       }
     },
-    "node_modules/data-urls": {
-      "version": "3.0.2",
-      "resolved": "https://registry.npmjs.org/data-urls/-/data-urls-3.0.2.tgz",
-      "integrity": "sha512-Jy/tj3ldjZJo63sVAvg6LHt2mHvl4V6AgRAmNDtLdm7faqtsx+aJG42rsyCo9JCoRVKwPFzKlIPx3DIibwSIaQ==",
+    "node_modules/find-versions": {
+      "version": "5.1.0",
+      "resolved": "https://registry.npmjs.org/find-versions/-/find-versions-5.1.0.tgz",
+      "integrity": "sha512-+iwzCJ7C5v5KgcBuueqVoNiHVoQpwiUK5XFLjf0affFTep+Wcw93tPvmb8tqujDNmzhBDPddnWV/qgWSXgq+Hg==",
+      "dev": true,
       "dependencies": {
-        "abab": "^2.0.6",
-        "whatwg-mimetype": "^3.0.0",
-        "whatwg-url": "^11.0.0"
+        "semver-regex": "^4.0.5"
       },
       "engines": {
         "node": ">=12"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
       }
     },
-    "node_modules/debug": {
-      "version": "4.3.4",
-      "resolved": "https://registry.npmjs.org/debug/-/debug-4.3.4.tgz",
-      "integrity": "sha512-PRWFHuSU3eDtQJPvnNY7Jcket1j0t5OuOsFzPPzsekD52Zl8qUfFIPEiswXqIvHWGVHOgX+7G/vCNNhehwxfkQ==",
+    "node_modules/flat-cache": {
+      "version": "4.0.1",
+      "resolved": "https://registry.npmjs.org/flat-cache/-/flat-cache-4.0.1.tgz",
+      "integrity": "sha512-f7ccFPK3SXFHpx15UIGyRJ/FJQctuKZ0zVuN3frBo4HnK3cay9VEW0R6yPYFHC0AgqhukPzKjq22t5DmAyqGyw==",
+      "dev": true,
       "dependencies": {
-        "ms": "2.1.2"
+        "flatted": "^3.2.9",
+        "keyv": "^4.5.4"
       },
       "engines": {
-        "node": ">=6.0"
+        "node": ">=16"
+      }
+    },
+    "node_modules/flatted": {
+      "version": "3.3.1",
+      "resolved": "https://registry.npmjs.org/flatted/-/flatted-3.3.1.tgz",
+      "integrity": "sha512-X8cqMLLie7KsNUDSdzeN8FYK9rEt4Dt67OsG/DNGnYTSDBG4uFAJFBnUeiV+zCVAvwFy56IjM9sH51jVaEhNxw==",
+      "dev": true
+    },
+    "node_modules/follow-redirects": {
+      "version": "1.15.6",
+      "resolved": "https://registry.npmjs.org/follow-redirects/-/follow-redirects-1.15.6.tgz",
+      "integrity": "sha512-wWN62YITEaOpSK584EZXJafH1AGpO8RVgElfkuXbTOrPX4fIfOyEpW/CsiNd8JdYrAoOvafRTOEnvsO++qCqFA==",
+      "funding": [
+        {
+          "type": "individual",
+          "url": "https://github.com/sponsors/RubenVerborgh"
+        }
+      ],
+      "engines": {
+        "node": ">=4.0"
       },
       "peerDependenciesMeta": {
-        "supports-color": {
+        "debug": {
           "optional": true
         }
       }
     },
-    "node_modules/decimal.js": {
-      "version": "10.4.3",
-      "resolved": "https://registry.npmjs.org/decimal.js/-/decimal.js-10.4.3.tgz",
-      "integrity": "sha512-VBBaLc1MgL5XpzgIP7ny5Z6Nx3UrRkIViUkPUdtl9aya5amy3De1gsUUSB1g3+3sExYNjCAsAznmukyxCb1GRA=="
-    },
-    "node_modules/decode-named-character-reference": {
-      "version": "1.0.2",
-      "resolved": "https://registry.npmjs.org/decode-named-character-reference/-/decode-named-character-reference-1.0.2.tgz",
-      "integrity": "sha512-O8x12RzrUF8xyVcY0KJowWsmaJxQbmy0/EtnNtHRpsOcT7dFk5W598coHqBVpmWo1oQQfsCqfCmkZN5DJrZVdg==",
+    "node_modules/foreground-child": {
+      "version": "3.2.1",
+      "resolved": "https://registry.npmjs.org/foreground-child/-/foreground-child-3.2.1.tgz",
+      "integrity": "sha512-PXUUyLqrR2XCWICfv6ukppP96sdFwWbNEnfEMt7jNsISjMsvaLNinAHNDYyvkyU+SZG2BTSbT5NjG+vZslfGTA==",
       "dependencies": {
-        "character-entities": "^2.0.0"
+        "cross-spawn": "^7.0.0",
+        "signal-exit": "^4.0.1"
+      },
+      "engines": {
+        "node": ">=14"
       },
       "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/wooorm"
+        "url": "https://github.com/sponsors/isaacs"
       }
     },
-    "node_modules/decode-named-character-reference/node_modules/character-entities": {
-      "version": "2.0.2",
-      "resolved": "https://registry.npmjs.org/character-entities/-/character-entities-2.0.2.tgz",
-      "integrity": "sha512-shx7oQ0Awen/BRIdkjkvz54PnEEI/EjwXDSIZp86/KKdbafHh1Df/RYGBhn4hbe2+uKC9FnT5UCEdyPz3ai9hQ==",
+    "node_modules/foreground-child/node_modules/signal-exit": {
+      "version": "4.1.0",
+      "resolved": "https://registry.npmjs.org/signal-exit/-/signal-exit-4.1.0.tgz",
+      "integrity": "sha512-bzyZ1e88w9O1iNJbKnOlvYTrWPDl46O1bG0D3XInv+9tkPrxrN8jUUTiFlDkkmKWgn1M6CfIA13SuGqOa9Korw==",
+      "engines": {
+        "node": ">=14"
+      },
       "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/wooorm"
+        "url": "https://github.com/sponsors/isaacs"
       }
     },
-    "node_modules/decompress-response": {
-      "version": "6.0.0",
-      "resolved": "https://registry.npmjs.org/decompress-response/-/decompress-response-6.0.0.tgz",
-      "integrity": "sha512-aW35yZM6Bb/4oJlZncMH2LCoZtJXTRxES17vE3hoRiowU2kWHaJKFkSBDnDR+cm9J+9QhXmREyIfv0pji9ejCQ==",
-      "dev": true,
+    "node_modules/form-data": {
+      "version": "4.0.0",
+      "resolved": "https://registry.npmjs.org/form-data/-/form-data-4.0.0.tgz",
+      "integrity": "sha512-ETEklSGi5t0QMZuiXoA/Q6vcnxcLQP5vdugSpuAyi6SVGi2clPPp+xgEhuMaHC+zGgn31Kd235W35f7Hykkaww==",
       "dependencies": {
-        "mimic-response": "^3.1.0"
+        "asynckit": "^0.4.0",
+        "combined-stream": "^1.0.8",
+        "mime-types": "^2.1.12"
       },
       "engines": {
-        "node": ">=10"
+        "node": ">= 6"
+      }
+    },
+    "node_modules/format": {
+      "version": "0.2.2",
+      "resolved": "https://registry.npmjs.org/format/-/format-0.2.2.tgz",
+      "integrity": "sha512-wzsgA6WOq+09wrU1tsJ09udeR/YZRaeArL9e1wPbFg3GG2yDnC2ldKpxs4xunpFF9DgqCqOIra3bc1HWrJ37Ww==",
+      "engines": {
+        "node": ">=0.4.x"
+      }
+    },
+    "node_modules/formdata-polyfill": {
+      "version": "4.0.10",
+      "resolved": "https://registry.npmjs.org/formdata-polyfill/-/formdata-polyfill-4.0.10.tgz",
+      "integrity": "sha512-buewHzMvYL29jdeQTVILecSaZKnt/RJWjoZCF5OW60Z67/GmSLBkOFM7qh1PI3zFNtJbaZL5eQu1vLfazOwj4g==",
+      "dependencies": {
+        "fetch-blob": "^3.1.2"
       },
-      "funding": {
-        "url": "https://github.com/sponsors/sindresorhus"
+      "engines": {
+        "node": ">=12.20.0"
       }
     },
-    "node_modules/decompress-response/node_modules/mimic-response": {
-      "version": "3.1.0",
-      "resolved": "https://registry.npmjs.org/mimic-response/-/mimic-response-3.1.0.tgz",
-      "integrity": "sha512-z0yWI+4FDrrweS8Zmt4Ej5HdJmky15+L2e6Wgn3+iK5fWzb6T3fhNFq2+MeTRb064c6Wr4N/wv0DzQTjNzHNGQ==",
+    "node_modules/fraction.js": {
+      "version": "4.3.7",
+      "resolved": "https://registry.npmjs.org/fraction.js/-/fraction.js-4.3.7.tgz",
+      "integrity": "sha512-ZsDfxO51wGAXREY55a7la9LScWpwv9RxIrYABrlvOFBlH/ShPnrtsXeuUIfXKKOVicNxQ+o8JTbJvjS4M89yew==",
       "dev": true,
       "engines": {
-        "node": ">=10"
+        "node": "*"
       },
       "funding": {
-        "url": "https://github.com/sponsors/sindresorhus"
+        "type": "patreon",
+        "url": "https://github.com/sponsors/rawify"
       }
     },
-    "node_modules/deep-equal": {
-      "version": "2.2.3",
-      "resolved": "https://registry.npmjs.org/deep-equal/-/deep-equal-2.2.3.tgz",
-      "integrity": "sha512-ZIwpnevOurS8bpT4192sqAowWM76JDKSHYzMLty3BZGSswgq6pBaH3DhCSW5xVAZICZyKdOBPjwww5wfgT/6PA==",
-      "dev": true,
-      "dependencies": {
-        "array-buffer-byte-length": "^1.0.0",
-        "call-bind": "^1.0.5",
-        "es-get-iterator": "^1.1.3",
-        "get-intrinsic": "^1.2.2",
-        "is-arguments": "^1.1.1",
-        "is-array-buffer": "^3.0.2",
-        "is-date-object": "^1.0.5",
-        "is-regex": "^1.1.4",
-        "is-shared-array-buffer": "^1.0.2",
-        "isarray": "^2.0.5",
-        "object-is": "^1.1.5",
-        "object-keys": "^1.1.1",
-        "object.assign": "^4.1.4",
-        "regexp.prototype.flags": "^1.5.1",
-        "side-channel": "^1.0.4",
-        "which-boxed-primitive": "^1.0.2",
-        "which-collection": "^1.0.1",
-        "which-typed-array": "^1.1.13"
+    "node_modules/framer-motion": {
+      "version": "11.2.11",
+      "resolved": "https://registry.npmjs.org/framer-motion/-/framer-motion-11.2.11.tgz",
+      "integrity": "sha512-n+ozoEzgJu/2h9NoQMokF+CwNqIRVyuRC4RwMPwklfrrTjbVV32k9uBIgqYAwn7Jfpt5LuDVCtT57MWz1FbaLw==",
+      "dependencies": {
+        "tslib": "^2.4.0"
+      },
+      "peerDependencies": {
+        "@emotion/is-prop-valid": "*",
+        "react": "^18.0.0",
+        "react-dom": "^18.0.0"
+      },
+      "peerDependenciesMeta": {
+        "@emotion/is-prop-valid": {
+          "optional": true
+        },
+        "react": {
+          "optional": true
+        },
+        "react-dom": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/fs-extra": {
+      "version": "11.2.0",
+      "resolved": "https://registry.npmjs.org/fs-extra/-/fs-extra-11.2.0.tgz",
+      "integrity": "sha512-PmDi3uwK5nFuXh7XDTlVnS17xJS7vW36is2+w3xcv8SVxiB4NyATf4ctkVY5bkSjX0Y4nbvZCq1/EjtEyr9ktw==",
+      "dependencies": {
+        "graceful-fs": "^4.2.0",
+        "jsonfile": "^6.0.1",
+        "universalify": "^2.0.0"
+      },
+      "engines": {
+        "node": ">=14.14"
+      }
+    },
+    "node_modules/fs-minipass": {
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/fs-minipass/-/fs-minipass-2.1.0.tgz",
+      "integrity": "sha512-V/JgOLFCS+R6Vcq0slCuaeWEdNC3ouDlJMNIsacH2VtALiu9mV4LPrHc5cDl8k5aw6J8jwgWWpiTo5RYhmIzvg==",
+      "optional": true,
+      "dependencies": {
+        "minipass": "^3.0.0"
       },
       "engines": {
-        "node": ">= 0.4"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/ljharb"
+        "node": ">= 8"
       }
     },
-    "node_modules/defaults": {
-      "version": "1.0.4",
-      "resolved": "https://registry.npmjs.org/defaults/-/defaults-1.0.4.tgz",
-      "integrity": "sha512-eFuaLoy/Rxalv2kr+lqMlUnrDWV+3j4pljOIJgLIhI058IQfWJ7vXhyEIHu+HtC738klGALYxOKDO0bQP3tg8A==",
+    "node_modules/fs-minipass/node_modules/minipass": {
+      "version": "3.3.6",
+      "resolved": "https://registry.npmjs.org/minipass/-/minipass-3.3.6.tgz",
+      "integrity": "sha512-DxiNidxSEK+tHG6zOIklvNOwm3hvCrbUrdtzY74U6HKTJxvIDfOUL5W5P2Ghd3DTkhhKPYGqeNUIh5qcM4YBfw==",
+      "optional": true,
       "dependencies": {
-        "clone": "^1.0.2"
+        "yallist": "^4.0.0"
       },
-      "funding": {
-        "url": "https://github.com/sponsors/sindresorhus"
+      "engines": {
+        "node": ">=8"
       }
     },
-    "node_modules/defer-to-connect": {
-      "version": "2.0.1",
-      "resolved": "https://registry.npmjs.org/defer-to-connect/-/defer-to-connect-2.0.1.tgz",
-      "integrity": "sha512-4tvttepXG1VaYGrRibk5EwJd1t4udunSOVMdLSAL6mId1ix438oPwPZMALY41FCijukO1L0twNcGsdzS7dHgDg==",
-      "dev": true,
+    "node_modules/fs-minipass/node_modules/yallist": {
+      "version": "4.0.0",
+      "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz",
+      "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A==",
+      "optional": true
+    },
+    "node_modules/fs.realpath": {
+      "version": "1.0.0",
+      "resolved": "https://registry.npmjs.org/fs.realpath/-/fs.realpath-1.0.0.tgz",
+      "integrity": "sha512-OO0pH2lK6a0hZnAdau5ItzHPI6pUlvI7jMVnxUQRtw4owF2wk8lOSabtGDCTP4Ggrg2MbGnWO9X8K1t4+fGMDw==",
+      "optional": true
+    },
+    "node_modules/fsevents": {
+      "version": "2.3.2",
+      "resolved": "https://registry.npmjs.org/fsevents/-/fsevents-2.3.2.tgz",
+      "integrity": "sha512-xiqMQR4xAeHTuB9uWm+fFRcIOgKBMiOBP+eXiyT7jsgVCq1bkVygt00oASowB7EdtpOHaaPgKt812P9ab+DDKA==",
+      "hasInstallScript": true,
+      "optional": true,
+      "os": [
+        "darwin"
+      ],
       "engines": {
-        "node": ">=10"
+        "node": "^8.16.0 || ^10.6.0 || >=11.0.0"
       }
     },
-    "node_modules/define-data-property": {
+    "node_modules/function-bind": {
       "version": "1.1.2",
-      "resolved": "https://registry.npmjs.org/define-data-property/-/define-data-property-1.1.2.tgz",
-      "integrity": "sha512-SRtsSqsDbgpJBbW3pABMCOt6rQyeM8s8RiyeSN8jYG8sYmt/kGJejbydttUsnDs1tadr19tvhT4ShwMyoqAm4g==",
-      "dev": true,
-      "dependencies": {
-        "es-errors": "^1.3.0",
-        "get-intrinsic": "^1.2.2",
-        "gopd": "^1.0.1",
-        "has-property-descriptors": "^1.0.1"
-      },
-      "engines": {
-        "node": ">= 0.4"
+      "resolved": "https://registry.npmjs.org/function-bind/-/function-bind-1.1.2.tgz",
+      "integrity": "sha512-7XHNxH7qX9xG5mIwxkhumTox/MIRNcOgDrxWsMt2pAr23WHp6MrRlN7FBSFpCpr+oVO0F744iUgR82nJMfG2SA==",
+      "funding": {
+        "url": "https://github.com/sponsors/ljharb"
       }
     },
-    "node_modules/define-properties": {
-      "version": "1.2.1",
-      "resolved": "https://registry.npmjs.org/define-properties/-/define-properties-1.2.1.tgz",
-      "integrity": "sha512-8QmQKqEASLd5nx0U1B1okLElbUuuttJ/AnYmRXbbbGDWh6uS208EjD4Xqq/I9wK7u0v6O08XhTWnt5XtEbR6Dg==",
-      "dev": true,
+    "node_modules/gauge": {
+      "version": "3.0.2",
+      "resolved": "https://registry.npmjs.org/gauge/-/gauge-3.0.2.tgz",
+      "integrity": "sha512-+5J6MS/5XksCuXq++uFRsnUd7Ovu1XenbeuIuNRJxYWjgQbPuFhT14lAvsWfqfAmnwluf1OwMjz39HjfLPci0Q==",
+      "deprecated": "This package is no longer supported.",
+      "optional": true,
       "dependencies": {
-        "define-data-property": "^1.0.1",
-        "has-property-descriptors": "^1.0.0",
-        "object-keys": "^1.1.1"
+        "aproba": "^1.0.3 || ^2.0.0",
+        "color-support": "^1.1.2",
+        "console-control-strings": "^1.0.0",
+        "has-unicode": "^2.0.1",
+        "object-assign": "^4.1.1",
+        "signal-exit": "^3.0.0",
+        "string-width": "^4.2.3",
+        "strip-ansi": "^6.0.1",
+        "wide-align": "^1.1.2"
       },
       "engines": {
-        "node": ">= 0.4"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/ljharb"
+        "node": ">=10"
       }
     },
-    "node_modules/delayed-stream": {
-      "version": "1.0.0",
-      "resolved": "https://registry.npmjs.org/delayed-stream/-/delayed-stream-1.0.0.tgz",
-      "integrity": "sha512-ZySD7Nf91aLB0RxL4KGrKHBXl7Eds1DAmEdcoVawXnLD7SDhpNgtuII2aAkg7a7QS41jxPSZ17p4VdGnMHk3MQ==",
+    "node_modules/gensync": {
+      "version": "1.0.0-beta.2",
+      "resolved": "https://registry.npmjs.org/gensync/-/gensync-1.0.0-beta.2.tgz",
+      "integrity": "sha512-3hN7NaskYvMDLQY55gnW3NQ+mesEAepTqlg+VEbj7zzqEMBVNhzcGYYeqFo/TlYz6eQiFcp1HcsCZO+nGgS8zg==",
       "engines": {
-        "node": ">=0.4.0"
+        "node": ">=6.9.0"
       }
     },
-    "node_modules/dequal": {
-      "version": "2.0.3",
-      "resolved": "https://registry.npmjs.org/dequal/-/dequal-2.0.3.tgz",
-      "integrity": "sha512-0je+qPKHEMohvfRTCEo3CrPG6cAzAYgmzKyxRiYSSDkS6eGJdyVJm7WaYA5ECaAD9wLB2T4EEeymA5aFVcYXCA==",
+    "node_modules/get-caller-file": {
+      "version": "2.0.5",
+      "resolved": "https://registry.npmjs.org/get-caller-file/-/get-caller-file-2.0.5.tgz",
+      "integrity": "sha512-DyFP3BM/3YHTQOCUL/w0OZHR0lpKeGrxotcHWcqNEdnltqFwXVfhEBQ94eIo34AfQpo0rGki4cyIiftY06h2Fg==",
       "engines": {
-        "node": ">=6"
+        "node": "6.* || 8.* || >= 10.*"
       }
     },
-    "node_modules/detect-node-es": {
-      "version": "1.1.0",
-      "resolved": "https://registry.npmjs.org/detect-node-es/-/detect-node-es-1.1.0.tgz",
-      "integrity": "sha512-ypdmJU/TbBby2Dxibuv7ZLW3Bs1QEmM7nHjEANfohJLvE0XVujisn1qPJcZxg+qDucsr+bP6fLD1rPS3AhJ7EQ=="
-    },
-    "node_modules/didyoumean": {
-      "version": "1.2.2",
-      "resolved": "https://registry.npmjs.org/didyoumean/-/didyoumean-1.2.2.tgz",
-      "integrity": "sha512-gxtyfqMg7GKyhQmb056K7M3xszy/myH8w+B4RT+QXBQsvAOdc3XymqDDPHx1BgPgsdAA5SIifona89YtRATDzw=="
-    },
-    "node_modules/diff": {
-      "version": "5.1.0",
-      "resolved": "https://registry.npmjs.org/diff/-/diff-5.1.0.tgz",
-      "integrity": "sha512-D+mk+qE8VC/PAUrlAU34N+VfXev0ghe5ywmpqrawphmVZc1bEfn56uo9qpyGp1p4xpzOHkSW4ztBd6L7Xx4ACw==",
+    "node_modules/get-nonce": {
+      "version": "1.0.1",
+      "resolved": "https://registry.npmjs.org/get-nonce/-/get-nonce-1.0.1.tgz",
+      "integrity": "sha512-FJhYRoDaiatfEkUK8HKlicmu/3SGFD51q3itKDGoSTysQJBnfOcxU5GxnhE1E6soB76MbT0MBtnKJuXyAx+96Q==",
       "engines": {
-        "node": ">=0.3.1"
+        "node": ">=6"
       }
     },
-    "node_modules/diff-match-patch": {
-      "version": "1.0.5",
-      "resolved": "https://registry.npmjs.org/diff-match-patch/-/diff-match-patch-1.0.5.tgz",
-      "integrity": "sha512-IayShXAgj/QMXgB0IWmKx+rOPuGMhqm5w6jvFxmVenXKIzRqTAAsbBPT3kWQeGANj3jGgvcvv4yK6SxqYmikgw=="
-    },
-    "node_modules/diff-sequences": {
-      "version": "27.5.1",
-      "resolved": "https://registry.npmjs.org/diff-sequences/-/diff-sequences-27.5.1.tgz",
-      "integrity": "sha512-k1gCAXAsNgLwEL+Y8Wvl+M6oEFj5bgazfZULpS5CneoPPXRaCCW7dm+q21Ky2VEE5X+VeRDBVg1Pcvvsr4TtNQ==",
+    "node_modules/get-stream": {
+      "version": "3.0.0",
+      "resolved": "https://registry.npmjs.org/get-stream/-/get-stream-3.0.0.tgz",
+      "integrity": "sha512-GlhdIUuVakc8SJ6kK0zAFbiGzRFzNnY4jUuEbV9UROo4Y+0Ny4fjvcZFVTeDA4odpFyOQzaw6hXukJSq/f28sQ==",
       "dev": true,
       "engines": {
-        "node": "^10.13.0 || ^12.13.0 || ^14.15.0 || >=15.0.0"
-      }
-    },
-    "node_modules/dlv": {
-      "version": "1.1.3",
-      "resolved": "https://registry.npmjs.org/dlv/-/dlv-1.1.3.tgz",
-      "integrity": "sha512-+HlytyjlPKnIG8XuRG8WvmBP8xs8P71y+SKKS6ZXWoEgLuePxtDoUEiH7WkdePWrQ5JBpE6aoVqfZfJUQkjXwA=="
-    },
-    "node_modules/dom-accessibility-api": {
-      "version": "0.5.16",
-      "resolved": "https://registry.npmjs.org/dom-accessibility-api/-/dom-accessibility-api-0.5.16.tgz",
-      "integrity": "sha512-X7BJ2yElsnOJ30pZF4uIIDfBEVgF4XEBxL9Bxhy6dnrm5hkzqmsWHGTiHqRiITNhMyFLyAiWndIJP7Z1NTteDg==",
-      "dev": true
-    },
-    "node_modules/dom-helpers": {
-      "version": "5.2.1",
-      "resolved": "https://registry.npmjs.org/dom-helpers/-/dom-helpers-5.2.1.tgz",
-      "integrity": "sha512-nRCa7CK3VTrM2NmGkIy4cbK7IZlgBE/PYMn55rrXefr5xXDP0LdtfPnblFDoVdcAfslJ7or6iqAUnx0CCGIWQA==",
-      "dependencies": {
-        "@babel/runtime": "^7.8.7",
-        "csstype": "^3.0.2"
+        "node": ">=4"
       }
     },
-    "node_modules/domexception": {
-      "version": "4.0.0",
-      "resolved": "https://registry.npmjs.org/domexception/-/domexception-4.0.0.tgz",
-      "integrity": "sha512-A2is4PLG+eeSfoTMA95/s4pvAoSo2mKtiM5jlHkAVewmiO8ISFTFKZjH7UAM1Atli/OT/7JHOrJRJiMKUZKYBw==",
-      "deprecated": "Use your platform's native DOMException instead",
+    "node_modules/glob": {
+      "version": "7.2.3",
+      "resolved": "https://registry.npmjs.org/glob/-/glob-7.2.3.tgz",
+      "integrity": "sha512-nFR0zLpU2YCaRxwoCJvL6UvCH2JFyFVIvwTLsIf21AuHlMskA1hhTdk+LlYJtOlYt9v6dvszD2BGRqBL+iQK9Q==",
+      "deprecated": "Glob versions prior to v9 are no longer supported",
+      "optional": true,
       "dependencies": {
-        "webidl-conversions": "^7.0.0"
+        "fs.realpath": "^1.0.0",
+        "inflight": "^1.0.4",
+        "inherits": "2",
+        "minimatch": "^3.1.1",
+        "once": "^1.3.0",
+        "path-is-absolute": "^1.0.0"
       },
       "engines": {
-        "node": ">=12"
+        "node": "*"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/isaacs"
       }
     },
-    "node_modules/dompurify": {
-      "version": "3.0.8",
-      "resolved": "https://registry.npmjs.org/dompurify/-/dompurify-3.0.8.tgz",
-      "integrity": "sha512-b7uwreMYL2eZhrSCRC4ahLTeZcPZxSmYfmcQGXGkXiZSNW1X85v+SDM5KsWcpivIiUBH47Ji7NtyUdpLeF5JZQ=="
-    },
-    "node_modules/dot-case": {
-      "version": "3.0.4",
-      "resolved": "https://registry.npmjs.org/dot-case/-/dot-case-3.0.4.tgz",
-      "integrity": "sha512-Kv5nKlh6yRrdrGvxeJ2e5y2eRUpkUosIW4A2AS38zwSz27zu7ufDwQPi5Jhs3XAlGNetl3bmnGhQsMtkKJnj3w==",
+    "node_modules/glob-parent": {
+      "version": "6.0.2",
+      "resolved": "https://registry.npmjs.org/glob-parent/-/glob-parent-6.0.2.tgz",
+      "integrity": "sha512-XxwI8EOhVQgWp6iDL+3b0r86f4d6AX6zSU55HfB4ydCEuXLXc5FcYeOu+nnGftS4TEju/11rt4KJPTMgbfmv4A==",
       "dependencies": {
-        "no-case": "^3.0.4",
-        "tslib": "^2.0.3"
+        "is-glob": "^4.0.3"
+      },
+      "engines": {
+        "node": ">=10.13.0"
       }
     },
-    "node_modules/eastasianwidth": {
-      "version": "0.2.0",
-      "resolved": "https://registry.npmjs.org/eastasianwidth/-/eastasianwidth-0.2.0.tgz",
-      "integrity": "sha512-I88TYZWc9XiYHRQ4/3c5rjjfgkjhLyW2luGIheGERbNQ6OY7yTybanSpDXZa8y7VUP9YmDcYa+eyq4ca7iLqWA=="
-    },
-    "node_modules/electron-to-chromium": {
-      "version": "1.4.657",
-      "resolved": "https://registry.npmjs.org/electron-to-chromium/-/electron-to-chromium-1.4.657.tgz",
-      "integrity": "sha512-On2ymeleg6QbRuDk7wNgDdXtNqlJLM2w4Agx1D/RiTmItiL+a9oq5p7HUa2ZtkAtGBe/kil2dq/7rPfkbe0r5w=="
-    },
-    "node_modules/emoji-regex": {
-      "version": "8.0.0",
-      "resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-8.0.0.tgz",
-      "integrity": "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A=="
-    },
-    "node_modules/end-of-stream": {
-      "version": "1.4.4",
-      "resolved": "https://registry.npmjs.org/end-of-stream/-/end-of-stream-1.4.4.tgz",
-      "integrity": "sha512-+uw1inIHVPQoaVuHzRyXd21icM+cnt4CzD5rW+NC1wjOUSTOs+Te7FOv7AhN7vS9x/oIyhLP5PR1H+phQAHu5Q==",
-      "dev": true,
+    "node_modules/glob/node_modules/brace-expansion": {
+      "version": "1.1.11",
+      "resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-1.1.11.tgz",
+      "integrity": "sha512-iCuPHDFgrHX7H2vEI/5xpz07zSHB00TpugqhmYtVmMO6518mCuRMoOYFldEBl0g187ufozdaHgWKcYFb61qGiA==",
+      "optional": true,
       "dependencies": {
-        "once": "^1.4.0"
-      }
-    },
-    "node_modules/entities": {
-      "version": "2.2.0",
-      "resolved": "https://registry.npmjs.org/entities/-/entities-2.2.0.tgz",
-      "integrity": "sha512-p92if5Nz619I0w+akJrLZH0MX0Pb5DX39XOwQTtXSdQQOaYH03S1uIQp4mhOZtAXrxq4ViO67YTiLBo2638o9A==",
-      "funding": {
-        "url": "https://github.com/fb55/entities?sponsor=1"
+        "balanced-match": "^1.0.0",
+        "concat-map": "0.0.1"
       }
     },
-    "node_modules/error-ex": {
-      "version": "1.3.2",
-      "resolved": "https://registry.npmjs.org/error-ex/-/error-ex-1.3.2.tgz",
-      "integrity": "sha512-7dFHNmqeFSEt2ZBsCriorKnn3Z2pj+fd9kmI6QoWw4//DL+icEBfc0U7qJCisqrTsKTjw4fNFy2pW9OqStD84g==",
+    "node_modules/glob/node_modules/minimatch": {
+      "version": "3.1.2",
+      "resolved": "https://registry.npmjs.org/minimatch/-/minimatch-3.1.2.tgz",
+      "integrity": "sha512-J7p63hRiAjw1NDEww1W7i37+ByIrOWO5XQQAzZ3VOcL0PNybwpfmV/N05zFAzwQ9USyEcX6t3UO+K5aqBQOIHw==",
+      "optional": true,
       "dependencies": {
-        "is-arrayish": "^0.2.1"
+        "brace-expansion": "^1.1.7"
+      },
+      "engines": {
+        "node": "*"
       }
     },
-    "node_modules/es-errors": {
-      "version": "1.3.0",
-      "resolved": "https://registry.npmjs.org/es-errors/-/es-errors-1.3.0.tgz",
-      "integrity": "sha512-Zf5H2Kxt2xjTvbJvP2ZWLEICxA6j+hAmMzIlypy4xcBg1vKVnx89Wy0GbS+kf5cwCVFFzdCFh2XSCFNULS6csw==",
-      "dev": true,
+    "node_modules/globals": {
+      "version": "11.12.0",
+      "resolved": "https://registry.npmjs.org/globals/-/globals-11.12.0.tgz",
+      "integrity": "sha512-WOBp/EEGUiIsJSp7wcv/y6MO+lV9UoncWqxuFfm8eBwzWNgyfBd6Gz+IeKQ9jCmyhoH99g15M3T+QaVHFjizVA==",
       "engines": {
-        "node": ">= 0.4"
+        "node": ">=4"
       }
     },
-    "node_modules/es-get-iterator": {
-      "version": "1.1.3",
-      "resolved": "https://registry.npmjs.org/es-get-iterator/-/es-get-iterator-1.1.3.tgz",
-      "integrity": "sha512-sPZmqHBe6JIiTfN5q2pEi//TwxmAFHwj/XEuYjTuse78i8KxaqMTTzxPoFKuzRpDpTJ+0NAbpfenkmH2rePtuw==",
+    "node_modules/got": {
+      "version": "11.8.6",
+      "resolved": "https://registry.npmjs.org/got/-/got-11.8.6.tgz",
+      "integrity": "sha512-6tfZ91bOr7bOXnK7PRDCGBLa1H4U080YHNaAQ2KsMGlLEzRbk44nsZF2E1IeRc3vtJHPVbKCYgdFbaGO2ljd8g==",
       "dev": true,
       "dependencies": {
-        "call-bind": "^1.0.2",
-        "get-intrinsic": "^1.1.3",
-        "has-symbols": "^1.0.3",
-        "is-arguments": "^1.1.1",
-        "is-map": "^2.0.2",
-        "is-set": "^2.0.2",
-        "is-string": "^1.0.7",
-        "isarray": "^2.0.5",
-        "stop-iteration-iterator": "^1.0.0"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/ljharb"
-      }
-    },
-    "node_modules/esbuild": {
-      "version": "0.17.19",
-      "resolved": "https://registry.npmjs.org/esbuild/-/esbuild-0.17.19.tgz",
-      "integrity": "sha512-XQ0jAPFkK/u3LcVRcvVHQcTIqD6E2H1fvZMA5dQPSOWb3suUbWbfbRf94pjc0bNzRYLfIrDRQXr7X+LHIm5oHw==",
-      "hasInstallScript": true,
-      "bin": {
-        "esbuild": "bin/esbuild"
+        "@sindresorhus/is": "^4.0.0",
+        "@szmarczak/http-timer": "^4.0.5",
+        "@types/cacheable-request": "^6.0.1",
+        "@types/responselike": "^1.0.0",
+        "cacheable-lookup": "^5.0.3",
+        "cacheable-request": "^7.0.2",
+        "decompress-response": "^6.0.0",
+        "http2-wrapper": "^1.0.0-beta.5.2",
+        "lowercase-keys": "^2.0.0",
+        "p-cancelable": "^2.0.0",
+        "responselike": "^2.0.0"
       },
       "engines": {
-        "node": ">=12"
+        "node": ">=10.19.0"
       },
-      "optionalDependencies": {
-        "@esbuild/android-arm": "0.17.19",
-        "@esbuild/android-arm64": "0.17.19",
-        "@esbuild/android-x64": "0.17.19",
-        "@esbuild/darwin-arm64": "0.17.19",
-        "@esbuild/darwin-x64": "0.17.19",
-        "@esbuild/freebsd-arm64": "0.17.19",
-        "@esbuild/freebsd-x64": "0.17.19",
-        "@esbuild/linux-arm": "0.17.19",
-        "@esbuild/linux-arm64": "0.17.19",
-        "@esbuild/linux-ia32": "0.17.19",
-        "@esbuild/linux-loong64": "0.17.19",
-        "@esbuild/linux-mips64el": "0.17.19",
-        "@esbuild/linux-ppc64": "0.17.19",
-        "@esbuild/linux-riscv64": "0.17.19",
-        "@esbuild/linux-s390x": "0.17.19",
-        "@esbuild/linux-x64": "0.17.19",
-        "@esbuild/netbsd-x64": "0.17.19",
-        "@esbuild/openbsd-x64": "0.17.19",
-        "@esbuild/sunos-x64": "0.17.19",
-        "@esbuild/win32-arm64": "0.17.19",
-        "@esbuild/win32-ia32": "0.17.19",
-        "@esbuild/win32-x64": "0.17.19"
+      "funding": {
+        "url": "https://github.com/sindresorhus/got?sponsor=1"
       }
     },
-    "node_modules/escalade": {
-      "version": "3.1.2",
-      "resolved": "https://registry.npmjs.org/escalade/-/escalade-3.1.2.tgz",
-      "integrity": "sha512-ErCHMCae19vR8vQGe50xIsVomy19rg6gFu3+r3jkEO46suLMWBksvVyoGgQV+jOfl84ZSOSlmv6Gxa89PmTGmA==",
+    "node_modules/graceful-fs": {
+      "version": "4.2.11",
+      "resolved": "https://registry.npmjs.org/graceful-fs/-/graceful-fs-4.2.11.tgz",
+      "integrity": "sha512-RbJ5/jmFcNNCcDV5o9eTnBLJ/HszWV0P73bc+Ff4nS/rJj+YaS6IGyiOL0VoBYX+l1Wrl3k63h/KrH+nhJ0XvQ=="
+    },
+    "node_modules/has-flag": {
+      "version": "3.0.0",
+      "resolved": "https://registry.npmjs.org/has-flag/-/has-flag-3.0.0.tgz",
+      "integrity": "sha512-sKJf1+ceQBr4SMkvQnBDNDtf4TXpVhVGateu0t918bl30FnbE2m4vNLX+VWe/dpjlb+HugGYzW7uQXH98HPEYw==",
       "engines": {
-        "node": ">=6"
+        "node": ">=4"
       }
     },
-    "node_modules/escape-string-regexp": {
-      "version": "4.0.0",
-      "resolved": "https://registry.npmjs.org/escape-string-regexp/-/escape-string-regexp-4.0.0.tgz",
-      "integrity": "sha512-TtpcNJ3XAzx3Gq8sWRzJaVajRs0uVxA2YAkdb1jm2YkPz4G6egUFAyA3n5vtEIZefPk5Wa4UXbKuS5fKkJWdgA==",
+    "node_modules/has-unicode": {
+      "version": "2.0.1",
+      "resolved": "https://registry.npmjs.org/has-unicode/-/has-unicode-2.0.1.tgz",
+      "integrity": "sha512-8Rf9Y83NBReMnx0gFzA8JImQACstCYWUplepDa9xprwwtmgEZUF0h/i5xSA625zB/I37EtrswSST6OXxwaaIJQ==",
+      "optional": true
+    },
+    "node_modules/hasown": {
+      "version": "2.0.2",
+      "resolved": "https://registry.npmjs.org/hasown/-/hasown-2.0.2.tgz",
+      "integrity": "sha512-0hJU9SCPvmMzIBdZFqNPXWa6dqh7WdH0cII9y+CyS8rG3nL48Bclra9HmKhVVUHyPWNH5Y7xDwAB7bfgSjkUMQ==",
+      "dependencies": {
+        "function-bind": "^1.1.2"
+      },
       "engines": {
-        "node": ">=10"
+        "node": ">= 0.4"
+      }
+    },
+    "node_modules/hast-util-from-dom": {
+      "version": "4.2.0",
+      "resolved": "https://registry.npmjs.org/hast-util-from-dom/-/hast-util-from-dom-4.2.0.tgz",
+      "integrity": "sha512-t1RJW/OpJbCAJQeKi3Qrj1cAOLA0+av/iPFori112+0X7R3wng+jxLA+kXec8K4szqPRGI8vPxbbpEYvvpwaeQ==",
+      "dependencies": {
+        "hastscript": "^7.0.0",
+        "web-namespaces": "^2.0.0"
       },
       "funding": {
-        "url": "https://github.com/sponsors/sindresorhus"
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
       }
     },
-    "node_modules/escodegen": {
-      "version": "2.1.0",
-      "resolved": "https://registry.npmjs.org/escodegen/-/escodegen-2.1.0.tgz",
-      "integrity": "sha512-2NlIDTwUWJN0mRPQOdtQBzbUHvdGY2P1VXSyU83Q3xKxM7WHX2Ql8dKq782Q9TgQUNOLEzEYu9bzLNj1q88I5w==",
+    "node_modules/hast-util-from-dom/node_modules/hast-util-parse-selector": {
+      "version": "3.1.1",
+      "resolved": "https://registry.npmjs.org/hast-util-parse-selector/-/hast-util-parse-selector-3.1.1.tgz",
+      "integrity": "sha512-jdlwBjEexy1oGz0aJ2f4GKMaVKkA9jwjr4MjAAI22E5fM/TXVZHuS5OpONtdeIkRKqAaryQ2E9xNQxijoThSZA==",
       "dependencies": {
-        "esprima": "^4.0.1",
-        "estraverse": "^5.2.0",
-        "esutils": "^2.0.2"
-      },
-      "bin": {
-        "escodegen": "bin/escodegen.js",
-        "esgenerate": "bin/esgenerate.js"
+        "@types/hast": "^2.0.0"
       },
-      "engines": {
-        "node": ">=6.0"
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
+      }
+    },
+    "node_modules/hast-util-from-dom/node_modules/hastscript": {
+      "version": "7.2.0",
+      "resolved": "https://registry.npmjs.org/hastscript/-/hastscript-7.2.0.tgz",
+      "integrity": "sha512-TtYPq24IldU8iKoJQqvZOuhi5CyCQRAbvDOX0x1eW6rsHSxa/1i2CCiptNTotGHJ3VoHRGmqiv6/D3q113ikkw==",
+      "dependencies": {
+        "@types/hast": "^2.0.0",
+        "comma-separated-tokens": "^2.0.0",
+        "hast-util-parse-selector": "^3.0.0",
+        "property-information": "^6.0.0",
+        "space-separated-tokens": "^2.0.0"
       },
-      "optionalDependencies": {
-        "source-map": "~0.6.1"
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
       }
     },
-    "node_modules/escodegen/node_modules/source-map": {
-      "version": "0.6.1",
-      "resolved": "https://registry.npmjs.org/source-map/-/source-map-0.6.1.tgz",
-      "integrity": "sha512-UjgapumWlbMhkBgzT7Ykc5YXUT46F0iKu8SGXq0bcwP5dz/h0Plj6enJqjz1Zbq2l5WaqYnrVbwWOWMyF3F47g==",
-      "optional": true,
-      "engines": {
-        "node": ">=0.10.0"
+    "node_modules/hast-util-is-element": {
+      "version": "2.1.3",
+      "resolved": "https://registry.npmjs.org/hast-util-is-element/-/hast-util-is-element-2.1.3.tgz",
+      "integrity": "sha512-O1bKah6mhgEq2WtVMk+Ta5K7pPMqsBBlmzysLdcwKVrqzZQ0CHqUPiIVspNhAG1rvxpvJjtGee17XfauZYKqVA==",
+      "dependencies": {
+        "@types/hast": "^2.0.0",
+        "@types/unist": "^2.0.0"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
       }
     },
-    "node_modules/esm": {
-      "version": "3.2.25",
-      "resolved": "https://registry.npmjs.org/esm/-/esm-3.2.25.tgz",
-      "integrity": "sha512-U1suiZ2oDVWv4zPO56S0NcR5QriEahGtdN2OR6FiOG4WJvcjBVFB0qI4+eKoWFH483PKGuLuu6V8Z4T5g63UVA==",
-      "engines": {
-        "node": ">=6"
+    "node_modules/hast-util-parse-selector": {
+      "version": "2.2.5",
+      "resolved": "https://registry.npmjs.org/hast-util-parse-selector/-/hast-util-parse-selector-2.2.5.tgz",
+      "integrity": "sha512-7j6mrk/qqkSehsM92wQjdIgWM2/BW61u/53G6xmC8i1OmEdKLHbk419QKQUjz6LglWsfqoiHmyMRkP1BGjecNQ==",
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
       }
     },
-    "node_modules/esprima": {
-      "version": "4.0.1",
-      "resolved": "https://registry.npmjs.org/esprima/-/esprima-4.0.1.tgz",
-      "integrity": "sha512-eGuFFw7Upda+g4p+QHvnW0RyTX/SVeJBDM/gCtMARO0cLuT2HcEKnTPvhjV6aGeqrCB/sbNop0Kszm0jsaWU4A==",
-      "bin": {
-        "esparse": "bin/esparse.js",
-        "esvalidate": "bin/esvalidate.js"
+    "node_modules/hast-util-to-text": {
+      "version": "3.1.2",
+      "resolved": "https://registry.npmjs.org/hast-util-to-text/-/hast-util-to-text-3.1.2.tgz",
+      "integrity": "sha512-tcllLfp23dJJ+ju5wCCZHVpzsQQ43+moJbqVX3jNWPB7z/KFC4FyZD6R7y94cHL6MQ33YtMZL8Z0aIXXI4XFTw==",
+      "dependencies": {
+        "@types/hast": "^2.0.0",
+        "@types/unist": "^2.0.0",
+        "hast-util-is-element": "^2.0.0",
+        "unist-util-find-after": "^4.0.0"
       },
-      "engines": {
-        "node": ">=4"
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
       }
     },
-    "node_modules/estraverse": {
-      "version": "5.3.0",
-      "resolved": "https://registry.npmjs.org/estraverse/-/estraverse-5.3.0.tgz",
-      "integrity": "sha512-MMdARuVEQziNTeJD8DgMqmhwR11BRQ/cBP+pLtYdSTnf3MIO8fFeiINEbX36ZdNlfU/7A9f3gUw49B3oQsvwBA==",
-      "engines": {
-        "node": ">=4.0"
+    "node_modules/hast-util-whitespace": {
+      "version": "2.0.1",
+      "resolved": "https://registry.npmjs.org/hast-util-whitespace/-/hast-util-whitespace-2.0.1.tgz",
+      "integrity": "sha512-nAxA0v8+vXSBDt3AnRUNjyRIQ0rD+ntpbAp4LnPkumc5M9yUbSMa4XDU9Q6etY4f1Wp4bNgvc1yjiZtsTTrSng==",
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
       }
     },
-    "node_modules/estree-walker": {
-      "version": "2.0.2",
-      "resolved": "https://registry.npmjs.org/estree-walker/-/estree-walker-2.0.2.tgz",
-      "integrity": "sha512-Rfkk/Mp/DL7JVje3u18FxFujQlTNR2q6QfMSMB7AvCBx91NGj/ba3kCfza0f6dVDbw7YlRf/nDrn7pQrCCyQ/w=="
+    "node_modules/hastscript": {
+      "version": "6.0.0",
+      "resolved": "https://registry.npmjs.org/hastscript/-/hastscript-6.0.0.tgz",
+      "integrity": "sha512-nDM6bvd7lIqDUiYEiu5Sl/+6ReP0BMk/2f4U/Rooccxkj0P5nm+acM5PrGJ/t5I8qPGiqZSE6hVAwZEdZIvP4w==",
+      "dependencies": {
+        "@types/hast": "^2.0.0",
+        "comma-separated-tokens": "^1.0.0",
+        "hast-util-parse-selector": "^2.0.0",
+        "property-information": "^5.0.0",
+        "space-separated-tokens": "^1.0.0"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
+      }
     },
-    "node_modules/esutils": {
-      "version": "2.0.3",
-      "resolved": "https://registry.npmjs.org/esutils/-/esutils-2.0.3.tgz",
-      "integrity": "sha512-kVscqXk4OCp68SZ0dkgEKVi6/8ij300KBWTJq32P/dYeWTSwK41WyTxalN1eRmA5Z9UU/LX9D7FWSmV9SAYx6g==",
-      "engines": {
-        "node": ">=0.10.0"
+    "node_modules/hastscript/node_modules/comma-separated-tokens": {
+      "version": "1.0.8",
+      "resolved": "https://registry.npmjs.org/comma-separated-tokens/-/comma-separated-tokens-1.0.8.tgz",
+      "integrity": "sha512-GHuDRO12Sypu2cV70d1dkA2EUmXHgntrzbpvOB+Qy+49ypNfGgFQIC2fhhXbnyrJRynDCAARsT7Ou0M6hirpfw==",
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/wooorm"
       }
     },
-    "node_modules/execa": {
-      "version": "0.7.0",
-      "resolved": "https://registry.npmjs.org/execa/-/execa-0.7.0.tgz",
-      "integrity": "sha512-RztN09XglpYI7aBBrJCPW95jEH7YF1UEPOoX9yDhUTPdp7mK+CQvnLTuD10BNXZ3byLTu2uehZ8EcKT/4CGiFw==",
-      "dev": true,
+    "node_modules/hastscript/node_modules/property-information": {
+      "version": "5.6.0",
+      "resolved": "https://registry.npmjs.org/property-information/-/property-information-5.6.0.tgz",
+      "integrity": "sha512-YUHSPk+A30YPv+0Qf8i9Mbfe/C0hdPXk1s1jPVToV8pk8BQtpw10ct89Eo7OWkutrwqvT0eicAxlOg3dOAu8JA==",
       "dependencies": {
-        "cross-spawn": "^5.0.1",
-        "get-stream": "^3.0.0",
-        "is-stream": "^1.1.0",
-        "npm-run-path": "^2.0.0",
-        "p-finally": "^1.0.0",
-        "signal-exit": "^3.0.0",
-        "strip-eof": "^1.0.0"
+        "xtend": "^4.0.0"
       },
-      "engines": {
-        "node": ">=4"
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/wooorm"
       }
     },
-    "node_modules/executable": {
-      "version": "4.1.1",
-      "resolved": "https://registry.npmjs.org/executable/-/executable-4.1.1.tgz",
-      "integrity": "sha512-8iA79xD3uAch729dUG8xaaBBFGaEa0wdD2VkYLFHwlqosEj/jT66AzcreRDSgV7ehnNLBW2WR5jIXwGKjVdTLg==",
-      "dev": true,
-      "dependencies": {
-        "pify": "^2.2.0"
-      },
-      "engines": {
-        "node": ">=4"
+    "node_modules/hastscript/node_modules/space-separated-tokens": {
+      "version": "1.1.5",
+      "resolved": "https://registry.npmjs.org/space-separated-tokens/-/space-separated-tokens-1.1.5.tgz",
+      "integrity": "sha512-q/JSVd1Lptzhf5bkYm4ob4iWPjx0KiRe3sRFBNrVqbJkFaBm5vbbowy1mymoPNLRa52+oadOhJ+K49wsSeSjTA==",
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/wooorm"
       }
     },
-    "node_modules/ext-list": {
-      "version": "2.2.2",
-      "resolved": "https://registry.npmjs.org/ext-list/-/ext-list-2.2.2.tgz",
-      "integrity": "sha512-u+SQgsubraE6zItfVA0tBuCBhfU9ogSRnsvygI7wht9TS510oLkBRXBsqopeUG/GBOIQyKZO9wjTqIu/sf5zFA==",
-      "dev": true,
+    "node_modules/hermes-estree": {
+      "version": "0.21.1",
+      "resolved": "https://registry.npmjs.org/hermes-estree/-/hermes-estree-0.21.1.tgz",
+      "integrity": "sha512-ayfESdfG0wZM32uGw0CMfcW6pW6RM8htLXZI56A4rr7hIOjmKw+wd3+71wUc1uQfn90ZyY1NMCbQeMnunrIidg=="
+    },
+    "node_modules/hermes-parser": {
+      "version": "0.21.1",
+      "resolved": "https://registry.npmjs.org/hermes-parser/-/hermes-parser-0.21.1.tgz",
+      "integrity": "sha512-ANsRSBqQHzca7AXbsuwKApSQhAdljPip63MgqLebSVzNUI+A3NDzfiH9Ny4df4fA7Ndso3kPR1V/x1YEc7BYxA==",
       "dependencies": {
-        "mime-db": "^1.28.0"
-      },
-      "engines": {
-        "node": ">=0.10.0"
+        "hermes-estree": "0.21.1"
       }
     },
-    "node_modules/ext-name": {
-      "version": "5.0.0",
-      "resolved": "https://registry.npmjs.org/ext-name/-/ext-name-5.0.0.tgz",
-      "integrity": "sha512-yblEwXAbGv1VQDmow7s38W77hzAgJAO50ztBLMcUyUBfxv1HC+LGwtiEN+Co6LtlqT/5uwVOxsD4TNIilWhwdQ==",
-      "dev": true,
-      "dependencies": {
-        "ext-list": "^2.0.0",
-        "sort-keys-length": "^1.0.0"
-      },
+    "node_modules/highlight.js": {
+      "version": "10.7.3",
+      "resolved": "https://registry.npmjs.org/highlight.js/-/highlight.js-10.7.3.tgz",
+      "integrity": "sha512-tzcUFauisWKNHaRkN4Wjl/ZA07gENAjFl3J/c480dprkGTg5EQstgaNFqBfUqCq54kZRIEcreTsAgF/m2quD7A==",
       "engines": {
-        "node": ">=4"
+        "node": "*"
       }
     },
-    "node_modules/extend": {
-      "version": "3.0.2",
-      "resolved": "https://registry.npmjs.org/extend/-/extend-3.0.2.tgz",
-      "integrity": "sha512-fjquC59cD7CyW6urNXK0FBufkZcoiGG80wTuPujX590cB5Ttln20E2UB4S/WARVqhXffZl2LNgS+gQdPIIim/g=="
-    },
-    "node_modules/fast-deep-equal": {
-      "version": "3.1.3",
-      "resolved": "https://registry.npmjs.org/fast-deep-equal/-/fast-deep-equal-3.1.3.tgz",
-      "integrity": "sha512-f3qQ9oQy9j2AhBe/H9VC91wLmKBCCU/gDOnKNAYG5hswO7BLKj09Hc5HYNz9cGI++xlpDCIgDaitVs03ATR84Q=="
-    },
-    "node_modules/fast-glob": {
+    "node_modules/hoist-non-react-statics": {
       "version": "3.3.2",
-      "resolved": "https://registry.npmjs.org/fast-glob/-/fast-glob-3.3.2.tgz",
-      "integrity": "sha512-oX2ruAFQwf/Orj8m737Y5adxDQO0LAB7/S5MnxCdTNDd4p6BsyIVsv9JQsATbTSq8KHRpLwIHbVlUNatxd+1Ow==",
+      "resolved": "https://registry.npmjs.org/hoist-non-react-statics/-/hoist-non-react-statics-3.3.2.tgz",
+      "integrity": "sha512-/gGivxi8JPKWNm/W0jSmzcMPpfpPLc3dY/6GxhX2hQ9iGj3aDfklV4ET7NjKpSinLpJ5vafa9iiGIEZg10SfBw==",
       "dependencies": {
-        "@nodelib/fs.stat": "^2.0.2",
-        "@nodelib/fs.walk": "^1.2.3",
-        "glob-parent": "^5.1.2",
-        "merge2": "^1.3.0",
-        "micromatch": "^4.0.4"
-      },
-      "engines": {
-        "node": ">=8.6.0"
+        "react-is": "^16.7.0"
       }
     },
-    "node_modules/fastparse": {
-      "version": "1.1.2",
-      "resolved": "https://registry.npmjs.org/fastparse/-/fastparse-1.1.2.tgz",
-      "integrity": "sha512-483XLLxTVIwWK3QTrMGRqUfUpoOs/0hbQrl2oz4J0pAcm3A3bu84wxTFqGqkJzewCLdME38xJLJAxBABfQT8sQ==",
-      "dev": true
+    "node_modules/hoist-non-react-statics/node_modules/react-is": {
+      "version": "16.13.1",
+      "resolved": "https://registry.npmjs.org/react-is/-/react-is-16.13.1.tgz",
+      "integrity": "sha512-24e6ynE2H+OKt4kqsOvNd8kBpV65zoxbA4BVsEOB3ARVWQki/DHzaUoC5KuON/BiccDaCCTZBuOcfZs70kR8bQ=="
     },
-    "node_modules/fastq": {
-      "version": "1.17.1",
-      "resolved": "https://registry.npmjs.org/fastq/-/fastq-1.17.1.tgz",
-      "integrity": "sha512-sRVD3lWVIXWg6By68ZN7vho9a1pQcN/WBFaAAsDDFzlJjvoGx0P8z7V1t72grFJfJhu3YPZBuu25f7Kaw2jN1w==",
-      "dependencies": {
-        "reusify": "^1.0.4"
+    "node_modules/hono": {
+      "version": "4.4.7",
+      "resolved": "https://registry.npmjs.org/hono/-/hono-4.4.7.tgz",
+      "integrity": "sha512-WoQWFQyVFEVRtIzP5sHPv7nvIw+RYL/HRnvnOCDxj6A+BtrwuC9S0vryZbV4IyFcNgOJ87r/phDiC1x2eEo4Gg==",
+      "engines": {
+        "node": ">=16.0.0"
       }
     },
-    "node_modules/fault": {
-      "version": "1.0.4",
-      "resolved": "https://registry.npmjs.org/fault/-/fault-1.0.4.tgz",
-      "integrity": "sha512-CJ0HCB5tL5fYTEA7ToAq5+kTwd++Borf1/bifxd9iT70QcXr4MRrO3Llf8Ifs70q+SJcGHFtnIE/Nw6giCtECA==",
+    "node_modules/html-encoding-sniffer": {
+      "version": "3.0.0",
+      "resolved": "https://registry.npmjs.org/html-encoding-sniffer/-/html-encoding-sniffer-3.0.0.tgz",
+      "integrity": "sha512-oWv4T4yJ52iKrufjnyZPkrN0CH3QnrUqdB6In1g5Fe1mia8GmF36gnfNySxoZtxD5+NmYw1EElVXiBk93UeskA==",
       "dependencies": {
-        "format": "^0.2.0"
+        "whatwg-encoding": "^2.0.0"
       },
-      "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/wooorm"
+      "engines": {
+        "node": ">=12"
       }
     },
-    "node_modules/fetch-blob": {
-      "version": "3.2.0",
-      "resolved": "https://registry.npmjs.org/fetch-blob/-/fetch-blob-3.2.0.tgz",
-      "integrity": "sha512-7yAQpD2UMJzLi1Dqv7qFYnPbaPx7ZfFK6PiIxQ4PfkGPyNyl2Ugx+a/umUonmKqjhM4DnfbMvdX6otXq83soQQ==",
-      "funding": [
-        {
-          "type": "github",
-          "url": "https://github.com/sponsors/jimmywarting"
-        },
-        {
-          "type": "paypal",
-          "url": "https://paypal.me/jimmywarting"
-        }
-      ],
+    "node_modules/http-cache-semantics": {
+      "version": "4.1.1",
+      "resolved": "https://registry.npmjs.org/http-cache-semantics/-/http-cache-semantics-4.1.1.tgz",
+      "integrity": "sha512-er295DKPVsV82j5kw1Gjt+ADA/XYHsajl82cGNQG2eyoPkvgUhX+nDIyelzhIWbbsXP39EHcI6l5tYs2FYqYXQ==",
+      "dev": true
+    },
+    "node_modules/http-proxy-agent": {
+      "version": "5.0.0",
+      "resolved": "https://registry.npmjs.org/http-proxy-agent/-/http-proxy-agent-5.0.0.tgz",
+      "integrity": "sha512-n2hY8YdoRE1i7r6M0w9DIw5GgZN0G25P8zLCRQ8rjXtTU3vsNFBI/vWK/UIeE6g5MUUz6avwAPXmL6Fy9D/90w==",
       "dependencies": {
-        "node-domexception": "^1.0.0",
-        "web-streams-polyfill": "^3.0.3"
+        "@tootallnate/once": "2",
+        "agent-base": "6",
+        "debug": "4"
       },
       "engines": {
-        "node": "^12.20 || >= 14.13"
+        "node": ">= 6"
       }
     },
-    "node_modules/file-type": {
-      "version": "17.1.6",
-      "resolved": "https://registry.npmjs.org/file-type/-/file-type-17.1.6.tgz",
-      "integrity": "sha512-hlDw5Ev+9e883s0pwUsuuYNu4tD7GgpUnOvykjv1Gya0ZIjuKumthDRua90VUn6/nlRKAjcxLUnHNTIUWwWIiw==",
+    "node_modules/http2-wrapper": {
+      "version": "1.0.3",
+      "resolved": "https://registry.npmjs.org/http2-wrapper/-/http2-wrapper-1.0.3.tgz",
+      "integrity": "sha512-V+23sDMr12Wnz7iTcDeJr3O6AIxlnvT/bmaAAAP/Xda35C90p9599p0F1eHR/N1KILWSoWVAiOMFjBBXaXSMxg==",
       "dev": true,
       "dependencies": {
-        "readable-web-to-node-stream": "^3.0.2",
-        "strtok3": "^7.0.0-alpha.9",
-        "token-types": "^5.0.0-alpha.2"
+        "quick-lru": "^5.1.1",
+        "resolve-alpn": "^1.0.0"
       },
       "engines": {
-        "node": "^12.20.0 || ^14.13.1 || >=16.0.0"
-      },
-      "funding": {
-        "url": "https://github.com/sindresorhus/file-type?sponsor=1"
+        "node": ">=10.19.0"
       }
     },
-    "node_modules/filename-reserved-regex": {
-      "version": "3.0.0",
-      "resolved": "https://registry.npmjs.org/filename-reserved-regex/-/filename-reserved-regex-3.0.0.tgz",
-      "integrity": "sha512-hn4cQfU6GOT/7cFHXBqeBg2TbrMBgdD0kcjLhvSQYYwm3s4B6cjvBfb7nBALJLAXqmU5xajSa7X2NnUud/VCdw==",
-      "dev": true,
-      "engines": {
-        "node": "^12.20.0 || ^14.13.1 || >=16.0.0"
+    "node_modules/https-proxy-agent": {
+      "version": "5.0.1",
+      "resolved": "https://registry.npmjs.org/https-proxy-agent/-/https-proxy-agent-5.0.1.tgz",
+      "integrity": "sha512-dFcAjpTQFgoLMzC2VwU+C/CbS7uRL0lWmxDITmqm7C+7F0Odmj6s9l6alZc6AELXhrnggM2CeWSXHGOdX2YtwA==",
+      "dependencies": {
+        "agent-base": "6",
+        "debug": "4"
       },
-      "funding": {
-        "url": "https://github.com/sponsors/sindresorhus"
+      "engines": {
+        "node": ">= 6"
       }
     },
-    "node_modules/filenamify": {
-      "version": "5.1.1",
-      "resolved": "https://registry.npmjs.org/filenamify/-/filenamify-5.1.1.tgz",
-      "integrity": "sha512-M45CbrJLGACfrPOkrTp3j2EcO9OBkKUYME0eiqOCa7i2poaklU0jhlIaMlr8ijLorT0uLAzrn3qXOp5684CkfA==",
+    "node_modules/human-signals": {
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/human-signals/-/human-signals-2.1.0.tgz",
+      "integrity": "sha512-B4FFZ6q/T2jhhksgkbEW3HBvWIfDW85snkQgawt07S7J5QXTk6BkNV+0yAeZrM5QpMAdYlocGoljn0sJ/WQkFw==",
       "dev": true,
-      "dependencies": {
-        "filename-reserved-regex": "^3.0.0",
-        "strip-outer": "^2.0.0",
-        "trim-repeated": "^2.0.0"
-      },
       "engines": {
-        "node": ">=12.20"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/sindresorhus"
+        "node": ">=10.17.0"
       }
     },
-    "node_modules/fill-range": {
-      "version": "7.0.1",
-      "resolved": "https://registry.npmjs.org/fill-range/-/fill-range-7.0.1.tgz",
-      "integrity": "sha512-qOo9F+dMUmC2Lcb4BbVvnKJxTPjCm+RRpe4gDuGrzkL7mEVl/djYSu2OdQ2Pa302N4oqkSg9ir6jaLWJ2USVpQ==",
+    "node_modules/iconv-lite": {
+      "version": "0.6.3",
+      "resolved": "https://registry.npmjs.org/iconv-lite/-/iconv-lite-0.6.3.tgz",
+      "integrity": "sha512-4fCk79wshMdzMp2rH06qWrJE4iolqLhCUH+OiuIgU++RB0+94NlDL81atO7GX55uUKueo0txHNtvEyI6D7WdMw==",
       "dependencies": {
-        "to-regex-range": "^5.0.1"
+        "safer-buffer": ">= 2.1.2 < 3.0.0"
       },
       "engines": {
-        "node": ">=8"
+        "node": ">=0.10.0"
       }
     },
-    "node_modules/find-root": {
-      "version": "1.1.0",
-      "resolved": "https://registry.npmjs.org/find-root/-/find-root-1.1.0.tgz",
-      "integrity": "sha512-NKfW6bec6GfKc0SGx1e07QZY9PE99u0Bft/0rzSD5k3sO/vwkVUpDUKVm5Gpp5Ue3YfShPFTX2070tDs5kB9Ng=="
+    "node_modules/ieee754": {
+      "version": "1.2.1",
+      "resolved": "https://registry.npmjs.org/ieee754/-/ieee754-1.2.1.tgz",
+      "integrity": "sha512-dcyqhDvX1C46lXZcVqCpK+FtMRQVdIMN6/Df5js2zouUsqG7I6sFxitIC+7KYK29KdXOLHdu9zL4sFnoVQnqaA==",
+      "funding": [
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/feross"
+        },
+        {
+          "type": "patreon",
+          "url": "https://www.patreon.com/feross"
+        },
+        {
+          "type": "consulting",
+          "url": "https://feross.org/support"
+        }
+      ]
     },
-    "node_modules/find-up": {
-      "version": "4.1.0",
-      "resolved": "https://registry.npmjs.org/find-up/-/find-up-4.1.0.tgz",
-      "integrity": "sha512-PpOwAdQ/YlXQ2vj8a3h8IipDuYRi3wceVQQGYWxNINccq40Anw7BlsEXCMbt1Zt+OLA6Fq9suIpIWD0OsnISlw==",
+    "node_modules/ignore": {
+      "version": "5.3.1",
+      "resolved": "https://registry.npmjs.org/ignore/-/ignore-5.3.1.tgz",
+      "integrity": "sha512-5Fytz/IraMjqpwfd34ke28PTVMjZjJG2MPn5t7OE4eUCUNf8BAa7b5WUS9/Qvr6mwOQS7Mk6vdsMno5he+T8Xw==",
       "dev": true,
-      "dependencies": {
-        "locate-path": "^5.0.0",
-        "path-exists": "^4.0.0"
-      },
       "engines": {
-        "node": ">=8"
+        "node": ">= 4"
       }
     },
-    "node_modules/find-versions": {
-      "version": "5.1.0",
-      "resolved": "https://registry.npmjs.org/find-versions/-/find-versions-5.1.0.tgz",
-      "integrity": "sha512-+iwzCJ7C5v5KgcBuueqVoNiHVoQpwiUK5XFLjf0affFTep+Wcw93tPvmb8tqujDNmzhBDPddnWV/qgWSXgq+Hg==",
-      "dev": true,
+    "node_modules/import-fresh": {
+      "version": "3.3.0",
+      "resolved": "https://registry.npmjs.org/import-fresh/-/import-fresh-3.3.0.tgz",
+      "integrity": "sha512-veYYhQa+D1QBKznvhUHxb8faxlrwUnxseDAbAp457E0wLNio2bOSKnjYDhMj+YiAq61xrMGhQk9iXVk5FzgQMw==",
       "dependencies": {
-        "semver-regex": "^4.0.5"
+        "parent-module": "^1.0.0",
+        "resolve-from": "^4.0.0"
       },
       "engines": {
-        "node": ">=12"
+        "node": ">=6"
       },
       "funding": {
         "url": "https://github.com/sponsors/sindresorhus"
       }
     },
-    "node_modules/follow-redirects": {
-      "version": "1.15.5",
-      "resolved": "https://registry.npmjs.org/follow-redirects/-/follow-redirects-1.15.5.tgz",
-      "integrity": "sha512-vSFWUON1B+yAw1VN4xMfxgn5fTUiaOzAJCKBwIIgT/+7CuGy9+r+5gITvP62j3RmaD5Ph65UaERdOSRGUzZtgw==",
-      "funding": [
-        {
-          "type": "individual",
-          "url": "https://github.com/sponsors/RubenVerborgh"
-        }
-      ],
+    "node_modules/imurmurhash": {
+      "version": "0.1.4",
+      "resolved": "https://registry.npmjs.org/imurmurhash/-/imurmurhash-0.1.4.tgz",
+      "integrity": "sha512-JmXMZ6wuvDmLiHEml9ykzqO6lwFbof0GG4IkcGaENdCRDDmMVnny7s5HsIgHCbaq0w2MyPhDqkhTUgS2LU2PHA==",
+      "dev": true,
       "engines": {
-        "node": ">=4.0"
-      },
-      "peerDependenciesMeta": {
-        "debug": {
-          "optional": true
-        }
+        "node": ">=0.8.19"
       }
     },
-    "node_modules/for-each": {
-      "version": "0.3.3",
-      "resolved": "https://registry.npmjs.org/for-each/-/for-each-0.3.3.tgz",
-      "integrity": "sha512-jqYfLp7mo9vIyQf8ykW2v7A+2N4QjeCeI5+Dz9XraiO1ign81wjiH7Fb9vSOWvQfNtmSa4H2RoQTrrXivdUZmw==",
+    "node_modules/indent-string": {
+      "version": "4.0.0",
+      "resolved": "https://registry.npmjs.org/indent-string/-/indent-string-4.0.0.tgz",
+      "integrity": "sha512-EdDDZu4A2OyIK7Lr/2zG+w5jmbuk1DVBnEwREQvBzspBJkCEbRa8GxU1lghYcaGJCnRWibjDXlq779X1/y5xwg==",
       "dev": true,
+      "engines": {
+        "node": ">=8"
+      }
+    },
+    "node_modules/inflight": {
+      "version": "1.0.6",
+      "resolved": "https://registry.npmjs.org/inflight/-/inflight-1.0.6.tgz",
+      "integrity": "sha512-k92I/b08q4wvFscXCLvqfsHCrjrF7yiXsQuIVvVE7N82W3+aqpzuUdBbfhWcy/FZR3/4IgflMgKLOsvPDrGCJA==",
+      "deprecated": "This module is not supported, and leaks memory. Do not use it. Check out lru-cache if you want a good and tested way to coalesce async requests by a key value, which is much more comprehensive and powerful.",
+      "optional": true,
       "dependencies": {
-        "is-callable": "^1.1.3"
+        "once": "^1.3.0",
+        "wrappy": "1"
       }
     },
-    "node_modules/foreground-child": {
-      "version": "3.1.1",
-      "resolved": "https://registry.npmjs.org/foreground-child/-/foreground-child-3.1.1.tgz",
-      "integrity": "sha512-TMKDUnIte6bfb5nWv7V/caI169OHgvwjb7V4WkeUvbQQdjr5rWKqHFiKWb/fcOwB+CzBT+qbWjvj+DVwRskpIg==",
+    "node_modules/inherits": {
+      "version": "2.0.4",
+      "resolved": "https://registry.npmjs.org/inherits/-/inherits-2.0.4.tgz",
+      "integrity": "sha512-k/vGaX4/Yla3WzyMCvTQOXYeIHvqOKtnqBduzTHpzpQZzAskKMhZ2K+EnBiSM9zGSoIFeMpXKxa4dYeZIQqewQ=="
+    },
+    "node_modules/inline-style-parser": {
+      "version": "0.1.1",
+      "resolved": "https://registry.npmjs.org/inline-style-parser/-/inline-style-parser-0.1.1.tgz",
+      "integrity": "sha512-7NXolsK4CAS5+xvdj5OMMbI962hU/wvwoxk+LWR9Ek9bVtyuuYScDN6eS0rUm6TxApFpw7CX1o4uJzcd4AyD3Q=="
+    },
+    "node_modules/invariant": {
+      "version": "2.2.4",
+      "resolved": "https://registry.npmjs.org/invariant/-/invariant-2.2.4.tgz",
+      "integrity": "sha512-phJfQVBuaJM5raOpJjSfkiD6BpbCE4Ns//LaXl6wGYtUBY83nWS6Rf9tXm2e8VaK60JEjYldbPif/A2B1C2gNA==",
       "dependencies": {
-        "cross-spawn": "^7.0.0",
-        "signal-exit": "^4.0.1"
-      },
-      "engines": {
-        "node": ">=14"
+        "loose-envify": "^1.0.0"
+      }
+    },
+    "node_modules/is-alphabetical": {
+      "version": "1.0.4",
+      "resolved": "https://registry.npmjs.org/is-alphabetical/-/is-alphabetical-1.0.4.tgz",
+      "integrity": "sha512-DwzsA04LQ10FHTZuL0/grVDk4rFoVH1pjAToYwBrHSxcrBIGQuXrQMtD5U1b0U2XVgKZCTLLP8u2Qxqhy3l2Vg==",
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/wooorm"
+      }
+    },
+    "node_modules/is-alphanumerical": {
+      "version": "1.0.4",
+      "resolved": "https://registry.npmjs.org/is-alphanumerical/-/is-alphanumerical-1.0.4.tgz",
+      "integrity": "sha512-UzoZUr+XfVz3t3v4KyGEniVL9BDRoQtY7tOyrRybkVNjDFWyo1yhXNGrrBTQxp3ib9BLAWs7k2YKBQsFRkZG9A==",
+      "dependencies": {
+        "is-alphabetical": "^1.0.0",
+        "is-decimal": "^1.0.0"
       },
       "funding": {
-        "url": "https://github.com/sponsors/isaacs"
+        "type": "github",
+        "url": "https://github.com/sponsors/wooorm"
       }
     },
-    "node_modules/foreground-child/node_modules/cross-spawn": {
-      "version": "7.0.3",
-      "resolved": "https://registry.npmjs.org/cross-spawn/-/cross-spawn-7.0.3.tgz",
-      "integrity": "sha512-iRDPJKUPVEND7dHPO8rkbOnPpyDygcDFtWjpeWNCgy8WP2rXcxXL8TskReQl6OrB2G7+UJrags1q15Fudc7G6w==",
+    "node_modules/is-arrayish": {
+      "version": "0.2.1",
+      "resolved": "https://registry.npmjs.org/is-arrayish/-/is-arrayish-0.2.1.tgz",
+      "integrity": "sha512-zz06S8t0ozoDXMG+ube26zeCTNXcKIPJZJi8hBrF4idCLms4CG9QtK7qBl1boi5ODzFpjswb5JPmHCbMpjaYzg=="
+    },
+    "node_modules/is-binary-path": {
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/is-binary-path/-/is-binary-path-2.1.0.tgz",
+      "integrity": "sha512-ZMERYes6pDydyuGidse7OsHxtbI7WVeUEozgR/g7rd0xUimYNlvZRE/K2MgZTjWy725IfelLeVcEM97mmtRGXw==",
       "dependencies": {
-        "path-key": "^3.1.0",
-        "shebang-command": "^2.0.0",
-        "which": "^2.0.1"
+        "binary-extensions": "^2.0.0"
       },
       "engines": {
-        "node": ">= 8"
+        "node": ">=8"
       }
     },
-    "node_modules/foreground-child/node_modules/path-key": {
-      "version": "3.1.1",
-      "resolved": "https://registry.npmjs.org/path-key/-/path-key-3.1.1.tgz",
-      "integrity": "sha512-ojmeN0qd+y0jszEtoY48r0Peq5dwMEkIlCOu6Q5f41lfkswXuKtYrhgoTpLnyIcHm24Uhqx+5Tqm2InSwLhE6Q==",
+    "node_modules/is-buffer": {
+      "version": "2.0.5",
+      "resolved": "https://registry.npmjs.org/is-buffer/-/is-buffer-2.0.5.tgz",
+      "integrity": "sha512-i2R6zNFDwgEHJyQUtJEk0XFi1i0dPFn/oqjK3/vPCcDeJvW5NQ83V8QbicfF1SupOaB0h8ntgBC2YiE7dfyctQ==",
+      "funding": [
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/feross"
+        },
+        {
+          "type": "patreon",
+          "url": "https://www.patreon.com/feross"
+        },
+        {
+          "type": "consulting",
+          "url": "https://feross.org/support"
+        }
+      ],
       "engines": {
-        "node": ">=8"
+        "node": ">=4"
       }
     },
-    "node_modules/foreground-child/node_modules/shebang-command": {
-      "version": "2.0.0",
-      "resolved": "https://registry.npmjs.org/shebang-command/-/shebang-command-2.0.0.tgz",
-      "integrity": "sha512-kHxr2zZpYtdmrN1qDjrrX/Z1rR1kG8Dx+gkpK1G4eXmvXswmcE1hTWBWYUzlraYw1/yZp6YuDY77YtvbN0dmDA==",
+    "node_modules/is-core-module": {
+      "version": "2.13.1",
+      "resolved": "https://registry.npmjs.org/is-core-module/-/is-core-module-2.13.1.tgz",
+      "integrity": "sha512-hHrIjvZsftOsvKSn2TRYl63zvxsgE0K+0mYMoH6gD4omR5IWB2KynivBQczo3+wF1cCkjzvptnI9Q0sPU66ilw==",
       "dependencies": {
-        "shebang-regex": "^3.0.0"
+        "hasown": "^2.0.0"
       },
-      "engines": {
-        "node": ">=8"
+      "funding": {
+        "url": "https://github.com/sponsors/ljharb"
       }
     },
-    "node_modules/foreground-child/node_modules/shebang-regex": {
-      "version": "3.0.0",
-      "resolved": "https://registry.npmjs.org/shebang-regex/-/shebang-regex-3.0.0.tgz",
-      "integrity": "sha512-7++dFhtcx3353uBaq8DDR4NuxBetBzC7ZQOhmTQInHEd6bSrXdiEyzCvG07Z44UYdLShWUyXt5M/yhz8ekcb1A==",
-      "engines": {
-        "node": ">=8"
+    "node_modules/is-decimal": {
+      "version": "1.0.4",
+      "resolved": "https://registry.npmjs.org/is-decimal/-/is-decimal-1.0.4.tgz",
+      "integrity": "sha512-RGdriMmQQvZ2aqaQq3awNA6dCGtKpiDFcOzrTWrDAT2MiWrKQVPmxLGHl7Y2nNu6led0kEyoX0enY0qXYsv9zw==",
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/wooorm"
       }
     },
-    "node_modules/foreground-child/node_modules/signal-exit": {
-      "version": "4.1.0",
-      "resolved": "https://registry.npmjs.org/signal-exit/-/signal-exit-4.1.0.tgz",
-      "integrity": "sha512-bzyZ1e88w9O1iNJbKnOlvYTrWPDl46O1bG0D3XInv+9tkPrxrN8jUUTiFlDkkmKWgn1M6CfIA13SuGqOa9Korw==",
+    "node_modules/is-extglob": {
+      "version": "2.1.1",
+      "resolved": "https://registry.npmjs.org/is-extglob/-/is-extglob-2.1.1.tgz",
+      "integrity": "sha512-SbKbANkN603Vi4jEZv49LeVJMn4yGwsbzZworEoyEiutsN3nJYdbO36zfhGJ6QEDpOZIFkDtnq5JRxmvl3jsoQ==",
       "engines": {
-        "node": ">=14"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/isaacs"
+        "node": ">=0.10.0"
       }
     },
-    "node_modules/foreground-child/node_modules/which": {
-      "version": "2.0.2",
-      "resolved": "https://registry.npmjs.org/which/-/which-2.0.2.tgz",
-      "integrity": "sha512-BLI3Tl1TW3Pvl70l3yq3Y64i+awpwXqsGBYWkkqMtnbXgrMD+yj7rhW0kuEDxzJaYXGjEW5ogapKNMEKNMjibA==",
-      "dependencies": {
-        "isexe": "^2.0.0"
-      },
-      "bin": {
-        "node-which": "bin/node-which"
-      },
+    "node_modules/is-fullwidth-code-point": {
+      "version": "3.0.0",
+      "resolved": "https://registry.npmjs.org/is-fullwidth-code-point/-/is-fullwidth-code-point-3.0.0.tgz",
+      "integrity": "sha512-zymm5+u+sCsSWyD9qNaejV3DFvhCKclKdizYaJUuHA83RLjb7nSuGnddCHGv0hk+KY7BMAlsWeK4Ueg6EV6XQg==",
       "engines": {
-        "node": ">= 8"
+        "node": ">=8"
       }
     },
-    "node_modules/form-data": {
-      "version": "4.0.0",
-      "resolved": "https://registry.npmjs.org/form-data/-/form-data-4.0.0.tgz",
-      "integrity": "sha512-ETEklSGi5t0QMZuiXoA/Q6vcnxcLQP5vdugSpuAyi6SVGi2clPPp+xgEhuMaHC+zGgn31Kd235W35f7Hykkaww==",
+    "node_modules/is-glob": {
+      "version": "4.0.3",
+      "resolved": "https://registry.npmjs.org/is-glob/-/is-glob-4.0.3.tgz",
+      "integrity": "sha512-xelSayHH36ZgE7ZWhli7pW34hNbNl8Ojv5KVmkJD4hBdD3th8Tfk9vYasLM+mXWOZhFkgZfxhLSnrwRr4elSSg==",
       "dependencies": {
-        "asynckit": "^0.4.0",
-        "combined-stream": "^1.0.8",
-        "mime-types": "^2.1.12"
+        "is-extglob": "^2.1.1"
       },
       "engines": {
-        "node": ">= 6"
-      }
-    },
-    "node_modules/format": {
-      "version": "0.2.2",
-      "resolved": "https://registry.npmjs.org/format/-/format-0.2.2.tgz",
-      "integrity": "sha512-wzsgA6WOq+09wrU1tsJ09udeR/YZRaeArL9e1wPbFg3GG2yDnC2ldKpxs4xunpFF9DgqCqOIra3bc1HWrJ37Ww==",
-      "engines": {
-        "node": ">=0.4.x"
+        "node": ">=0.10.0"
       }
     },
-    "node_modules/formdata-polyfill": {
-      "version": "4.0.10",
-      "resolved": "https://registry.npmjs.org/formdata-polyfill/-/formdata-polyfill-4.0.10.tgz",
-      "integrity": "sha512-buewHzMvYL29jdeQTVILecSaZKnt/RJWjoZCF5OW60Z67/GmSLBkOFM7qh1PI3zFNtJbaZL5eQu1vLfazOwj4g==",
-      "dependencies": {
-        "fetch-blob": "^3.1.2"
-      },
-      "engines": {
-        "node": ">=12.20.0"
+    "node_modules/is-hexadecimal": {
+      "version": "1.0.4",
+      "resolved": "https://registry.npmjs.org/is-hexadecimal/-/is-hexadecimal-1.0.4.tgz",
+      "integrity": "sha512-gyPJuv83bHMpocVYoqof5VDiZveEoGoFL8m3BXNb2VW8Xs+rz9kqO8LOQ5DH6EsuvilT1ApazU0pyl+ytbPtlw==",
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/wooorm"
       }
     },
-    "node_modules/fraction.js": {
-      "version": "4.3.7",
-      "resolved": "https://registry.npmjs.org/fraction.js/-/fraction.js-4.3.7.tgz",
-      "integrity": "sha512-ZsDfxO51wGAXREY55a7la9LScWpwv9RxIrYABrlvOFBlH/ShPnrtsXeuUIfXKKOVicNxQ+o8JTbJvjS4M89yew==",
-      "dev": true,
+    "node_modules/is-interactive": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/is-interactive/-/is-interactive-2.0.0.tgz",
+      "integrity": "sha512-qP1vozQRI+BMOPcjFzrjXuQvdak2pHNUMZoeG2eRbiSqyvbEf/wQtEOTOX1guk6E3t36RkaqiSt8A/6YElNxLQ==",
       "engines": {
-        "node": "*"
+        "node": ">=12"
       },
       "funding": {
-        "type": "patreon",
-        "url": "https://github.com/sponsors/rawify"
+        "url": "https://github.com/sponsors/sindresorhus"
       }
     },
-    "node_modules/fs-extra": {
-      "version": "11.2.0",
-      "resolved": "https://registry.npmjs.org/fs-extra/-/fs-extra-11.2.0.tgz",
-      "integrity": "sha512-PmDi3uwK5nFuXh7XDTlVnS17xJS7vW36is2+w3xcv8SVxiB4NyATf4ctkVY5bkSjX0Y4nbvZCq1/EjtEyr9ktw==",
-      "dependencies": {
-        "graceful-fs": "^4.2.0",
-        "jsonfile": "^6.0.1",
-        "universalify": "^2.0.0"
-      },
+    "node_modules/is-number": {
+      "version": "7.0.0",
+      "resolved": "https://registry.npmjs.org/is-number/-/is-number-7.0.0.tgz",
+      "integrity": "sha512-41Cifkg6e8TylSpdtTpeLVMqvSBEVzTttHvERD741+pnZ8ANv0004MRL43QKPDlK9cGvNp6NZWZUBlbGXYxxng==",
       "engines": {
-        "node": ">=14.14"
+        "node": ">=0.12.0"
       }
     },
-    "node_modules/fsevents": {
-      "version": "2.3.2",
-      "resolved": "https://registry.npmjs.org/fsevents/-/fsevents-2.3.2.tgz",
-      "integrity": "sha512-xiqMQR4xAeHTuB9uWm+fFRcIOgKBMiOBP+eXiyT7jsgVCq1bkVygt00oASowB7EdtpOHaaPgKt812P9ab+DDKA==",
-      "hasInstallScript": true,
-      "optional": true,
-      "os": [
-        "darwin"
-      ],
+    "node_modules/is-path-inside": {
+      "version": "3.0.3",
+      "resolved": "https://registry.npmjs.org/is-path-inside/-/is-path-inside-3.0.3.tgz",
+      "integrity": "sha512-Fd4gABb+ycGAmKou8eMftCupSir5lRxqf4aD/vd0cD2qc4HL07OjCeuHMr8Ro4CoMaeCKDB0/ECBOVWjTwUvPQ==",
+      "dev": true,
       "engines": {
-        "node": "^8.16.0 || ^10.6.0 || >=11.0.0"
-      }
-    },
-    "node_modules/function-bind": {
-      "version": "1.1.2",
-      "resolved": "https://registry.npmjs.org/function-bind/-/function-bind-1.1.2.tgz",
-      "integrity": "sha512-7XHNxH7qX9xG5mIwxkhumTox/MIRNcOgDrxWsMt2pAr23WHp6MrRlN7FBSFpCpr+oVO0F744iUgR82nJMfG2SA==",
-      "funding": {
-        "url": "https://github.com/sponsors/ljharb"
+        "node": ">=8"
       }
     },
-    "node_modules/functions-have-names": {
-      "version": "1.2.3",
-      "resolved": "https://registry.npmjs.org/functions-have-names/-/functions-have-names-1.2.3.tgz",
-      "integrity": "sha512-xckBUXyTIqT97tq2x2AMb+g163b5JFysYk0x4qxNFwbfQkmNZoiRHb6sPzI9/QV33WeuvVYBUIiD4NzNIyqaRQ==",
+    "node_modules/is-plain-obj": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/is-plain-obj/-/is-plain-obj-1.1.0.tgz",
+      "integrity": "sha512-yvkRyxmFKEOQ4pNXCmJG5AEQNlXJS5LaONXo5/cLdTZdWvsZ1ioJEonLGAosKlMWE8lwUy/bJzMjcw8az73+Fg==",
       "dev": true,
-      "funding": {
-        "url": "https://github.com/sponsors/ljharb"
+      "engines": {
+        "node": ">=0.10.0"
       }
     },
-    "node_modules/gensync": {
-      "version": "1.0.0-beta.2",
-      "resolved": "https://registry.npmjs.org/gensync/-/gensync-1.0.0-beta.2.tgz",
-      "integrity": "sha512-3hN7NaskYvMDLQY55gnW3NQ+mesEAepTqlg+VEbj7zzqEMBVNhzcGYYeqFo/TlYz6eQiFcp1HcsCZO+nGgS8zg==",
+    "node_modules/is-potential-custom-element-name": {
+      "version": "1.0.1",
+      "resolved": "https://registry.npmjs.org/is-potential-custom-element-name/-/is-potential-custom-element-name-1.0.1.tgz",
+      "integrity": "sha512-bCYeRA2rVibKZd+s2625gGnGF/t7DSqDs4dP7CrLA1m7jKWz6pps0LpYLJN8Q64HtmPKJ1hrN3nzPNKFEKOUiQ=="
+    },
+    "node_modules/is-stream": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/is-stream/-/is-stream-1.1.0.tgz",
+      "integrity": "sha512-uQPm8kcs47jx38atAcWTVxyltQYoPT68y9aWYdV6yWXSyW8mzSat0TL6CiWdZeCdF3KrAvpVtnHbTv4RN+rqdQ==",
+      "dev": true,
       "engines": {
-        "node": ">=6.9.0"
+        "node": ">=0.10.0"
       }
     },
-    "node_modules/get-intrinsic": {
-      "version": "1.2.4",
-      "resolved": "https://registry.npmjs.org/get-intrinsic/-/get-intrinsic-1.2.4.tgz",
-      "integrity": "sha512-5uYhsJH8VJBTv7oslg4BznJYhDoRI6waYCxMmCdnTrcCrHA/fCFKoTFz2JKKE0HdDFUF7/oQuhzumXJK7paBRQ==",
-      "dev": true,
-      "dependencies": {
-        "es-errors": "^1.3.0",
-        "function-bind": "^1.1.2",
-        "has-proto": "^1.0.1",
-        "has-symbols": "^1.0.3",
-        "hasown": "^2.0.0"
-      },
+    "node_modules/is-unicode-supported": {
+      "version": "1.3.0",
+      "resolved": "https://registry.npmjs.org/is-unicode-supported/-/is-unicode-supported-1.3.0.tgz",
+      "integrity": "sha512-43r2mRvz+8JRIKnWJ+3j8JtjRKZ6GmjzfaE/qiBJnikNnYv/6bagRJ1kUhNk8R5EX/GkobD+r+sfxCPJsiKBLQ==",
       "engines": {
-        "node": ">= 0.4"
+        "node": ">=12"
       },
       "funding": {
-        "url": "https://github.com/sponsors/ljharb"
+        "url": "https://github.com/sponsors/sindresorhus"
       }
     },
-    "node_modules/get-nonce": {
-      "version": "1.0.1",
-      "resolved": "https://registry.npmjs.org/get-nonce/-/get-nonce-1.0.1.tgz",
-      "integrity": "sha512-FJhYRoDaiatfEkUK8HKlicmu/3SGFD51q3itKDGoSTysQJBnfOcxU5GxnhE1E6soB76MbT0MBtnKJuXyAx+96Q==",
-      "engines": {
-        "node": ">=6"
-      }
+    "node_modules/isexe": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/isexe/-/isexe-2.0.0.tgz",
+      "integrity": "sha512-RHxMLp9lnKHGHRng9QFhRCMbYAcVpn69smSGcq3f36xjgVVWThj4qqLbTLlq7Ssj8B+fIQ1EuCEGI2lKsyQeIw=="
     },
-    "node_modules/get-stream": {
+    "node_modules/isomorphic-fetch": {
       "version": "3.0.0",
-      "resolved": "https://registry.npmjs.org/get-stream/-/get-stream-3.0.0.tgz",
-      "integrity": "sha512-GlhdIUuVakc8SJ6kK0zAFbiGzRFzNnY4jUuEbV9UROo4Y+0Ny4fjvcZFVTeDA4odpFyOQzaw6hXukJSq/f28sQ==",
-      "dev": true,
-      "engines": {
-        "node": ">=4"
+      "resolved": "https://registry.npmjs.org/isomorphic-fetch/-/isomorphic-fetch-3.0.0.tgz",
+      "integrity": "sha512-qvUtwJ3j6qwsF3jLxkZ72qCgjMysPzDfeV240JHiGZsANBYd+EEuu35v7dfrJ9Up0Ak07D7GGSkGhCHTqg/5wA==",
+      "dependencies": {
+        "node-fetch": "^2.6.1",
+        "whatwg-fetch": "^3.4.1"
       }
     },
-    "node_modules/glob": {
-      "version": "10.3.10",
-      "resolved": "https://registry.npmjs.org/glob/-/glob-10.3.10.tgz",
-      "integrity": "sha512-fa46+tv1Ak0UPK1TOy/pZrIybNNt4HCv7SDzwyfiOZkvZLEbjsZkJBPtDHVshZjbecAoAGSC20MjLDG/qr679g==",
+    "node_modules/jackspeak": {
+      "version": "3.4.0",
+      "resolved": "https://registry.npmjs.org/jackspeak/-/jackspeak-3.4.0.tgz",
+      "integrity": "sha512-JVYhQnN59LVPFCEcVa2C3CrEKYacvjRfqIQl+h8oi91aLYQVWRYbxjPcv1bUiUy/kLmQaANrYfNMCO3kuEDHfw==",
       "dependencies": {
-        "foreground-child": "^3.1.0",
-        "jackspeak": "^2.3.5",
-        "minimatch": "^9.0.1",
-        "minipass": "^5.0.0 || ^6.0.2 || ^7.0.0",
-        "path-scurry": "^1.10.1"
-      },
-      "bin": {
-        "glob": "dist/esm/bin.mjs"
+        "@isaacs/cliui": "^8.0.2"
       },
       "engines": {
-        "node": ">=16 || 14 >=14.17"
+        "node": ">=14"
       },
       "funding": {
         "url": "https://github.com/sponsors/isaacs"
+      },
+      "optionalDependencies": {
+        "@pkgjs/parseargs": "^0.11.0"
       }
     },
-    "node_modules/glob-parent": {
-      "version": "5.1.2",
-      "resolved": "https://registry.npmjs.org/glob-parent/-/glob-parent-5.1.2.tgz",
-      "integrity": "sha512-AOIgSQCepiJYwP3ARnGx+5VnTu2HBYdzbGP45eLw1vr3zB3vZLeyed1sC9hnbcOc9/SrMyM5RPQrkGz4aS9Zow==",
+    "node_modules/jest-diff": {
+      "version": "29.7.0",
+      "resolved": "https://registry.npmjs.org/jest-diff/-/jest-diff-29.7.0.tgz",
+      "integrity": "sha512-LMIgiIrhigmPrs03JHpxUh2yISK3vLFPkAodPeo0+BuF7wA2FoQbkEg1u8gBYBThncu7e1oEDUfIXVuTqLRUjw==",
+      "dev": true,
       "dependencies": {
-        "is-glob": "^4.0.1"
+        "chalk": "^4.0.0",
+        "diff-sequences": "^29.6.3",
+        "jest-get-type": "^29.6.3",
+        "pretty-format": "^29.7.0"
       },
       "engines": {
-        "node": ">= 6"
-      }
-    },
-    "node_modules/globals": {
-      "version": "11.12.0",
-      "resolved": "https://registry.npmjs.org/globals/-/globals-11.12.0.tgz",
-      "integrity": "sha512-WOBp/EEGUiIsJSp7wcv/y6MO+lV9UoncWqxuFfm8eBwzWNgyfBd6Gz+IeKQ9jCmyhoH99g15M3T+QaVHFjizVA==",
-      "engines": {
-        "node": ">=4"
+        "node": "^14.15.0 || ^16.10.0 || >=18.0.0"
       }
     },
-    "node_modules/gopd": {
-      "version": "1.0.1",
-      "resolved": "https://registry.npmjs.org/gopd/-/gopd-1.0.1.tgz",
-      "integrity": "sha512-d65bNlIadxvpb/A2abVdlqKqV563juRnZ1Wtk6s1sIR8uNsXR70xqIzVqxVf1eTqDunwT2MkczEeaezCKTZhwA==",
+    "node_modules/jest-diff/node_modules/ansi-styles": {
+      "version": "4.3.0",
+      "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-4.3.0.tgz",
+      "integrity": "sha512-zbB9rCJAT1rbjiVDb2hqKFHNYLxgtk8NURxZ3IZwD3F6NtxbXZQCnnSi1Lkx+IDohdPlFp222wVALIheZJQSEg==",
       "dev": true,
       "dependencies": {
-        "get-intrinsic": "^1.1.3"
+        "color-convert": "^2.0.1"
+      },
+      "engines": {
+        "node": ">=8"
       },
       "funding": {
-        "url": "https://github.com/sponsors/ljharb"
+        "url": "https://github.com/chalk/ansi-styles?sponsor=1"
       }
     },
-    "node_modules/got": {
-      "version": "11.8.6",
-      "resolved": "https://registry.npmjs.org/got/-/got-11.8.6.tgz",
-      "integrity": "sha512-6tfZ91bOr7bOXnK7PRDCGBLa1H4U080YHNaAQ2KsMGlLEzRbk44nsZF2E1IeRc3vtJHPVbKCYgdFbaGO2ljd8g==",
-      "dev": true,
-      "dependencies": {
-        "@sindresorhus/is": "^4.0.0",
-        "@szmarczak/http-timer": "^4.0.5",
-        "@types/cacheable-request": "^6.0.1",
-        "@types/responselike": "^1.0.0",
-        "cacheable-lookup": "^5.0.3",
-        "cacheable-request": "^7.0.2",
-        "decompress-response": "^6.0.0",
-        "http2-wrapper": "^1.0.0-beta.5.2",
-        "lowercase-keys": "^2.0.0",
-        "p-cancelable": "^2.0.0",
-        "responselike": "^2.0.0"
+    "node_modules/jest-diff/node_modules/chalk": {
+      "version": "4.1.2",
+      "resolved": "https://registry.npmjs.org/chalk/-/chalk-4.1.2.tgz",
+      "integrity": "sha512-oKnbhFyRIXpUuez8iBMmyEa4nbj4IOQyuhc/wy9kY7/WVPcwIO9VA668Pu8RkO7+0G76SLROeyw9CpQ061i4mA==",
+      "dev": true,
+      "dependencies": {
+        "ansi-styles": "^4.1.0",
+        "supports-color": "^7.1.0"
       },
       "engines": {
-        "node": ">=10.19.0"
+        "node": ">=10"
       },
       "funding": {
-        "url": "https://github.com/sindresorhus/got?sponsor=1"
+        "url": "https://github.com/chalk/chalk?sponsor=1"
       }
     },
-    "node_modules/graceful-fs": {
-      "version": "4.2.11",
-      "resolved": "https://registry.npmjs.org/graceful-fs/-/graceful-fs-4.2.11.tgz",
-      "integrity": "sha512-RbJ5/jmFcNNCcDV5o9eTnBLJ/HszWV0P73bc+Ff4nS/rJj+YaS6IGyiOL0VoBYX+l1Wrl3k63h/KrH+nhJ0XvQ=="
-    },
-    "node_modules/has-bigints": {
-      "version": "1.0.2",
-      "resolved": "https://registry.npmjs.org/has-bigints/-/has-bigints-1.0.2.tgz",
-      "integrity": "sha512-tSvCKtBr9lkF0Ex0aQiP9N+OpV4zi2r/Nee5VkRDbaqv35RLYMzbwQfFSZZH0kR+Rd6302UJZ2p/bJCEoR3VoQ==",
+    "node_modules/jest-diff/node_modules/color-convert": {
+      "version": "2.0.1",
+      "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-2.0.1.tgz",
+      "integrity": "sha512-RRECPsj7iu/xb5oKYcsFHSppFNnsj/52OVTRKb4zP5onXwVF3zVmmToNcOfGC+CRDpfK/U584fMg38ZHCaElKQ==",
       "dev": true,
-      "funding": {
-        "url": "https://github.com/sponsors/ljharb"
+      "dependencies": {
+        "color-name": "~1.1.4"
+      },
+      "engines": {
+        "node": ">=7.0.0"
       }
     },
-    "node_modules/has-flag": {
+    "node_modules/jest-diff/node_modules/color-name": {
+      "version": "1.1.4",
+      "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz",
+      "integrity": "sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA==",
+      "dev": true
+    },
+    "node_modules/jest-diff/node_modules/has-flag": {
       "version": "4.0.0",
       "resolved": "https://registry.npmjs.org/has-flag/-/has-flag-4.0.0.tgz",
       "integrity": "sha512-EykJT/Q1KjTWctppgIAgfSO0tKVuZUjhgMr17kqTumMl6Afv3EISleU7qZUzoXDFTAHTDC4NOoG/ZxU3EvlMPQ==",
@@ -6090,1319 +8558,1536 @@
         "node": ">=8"
       }
     },
-    "node_modules/has-property-descriptors": {
-      "version": "1.0.1",
-      "resolved": "https://registry.npmjs.org/has-property-descriptors/-/has-property-descriptors-1.0.1.tgz",
-      "integrity": "sha512-VsX8eaIewvas0xnvinAe9bw4WfIeODpGYikiWYLH+dma0Jw6KHYqWiWfhQlgOVK8D6PvjubK5Uc4P0iIhIcNVg==",
+    "node_modules/jest-diff/node_modules/pretty-format": {
+      "version": "29.7.0",
+      "resolved": "https://registry.npmjs.org/pretty-format/-/pretty-format-29.7.0.tgz",
+      "integrity": "sha512-Pdlw/oPxN+aXdmM9R00JVC9WVFoCLTKJvDVLgmJ+qAffBMxsV85l/Lu7sNx4zSzPyoL2euImuEwHhOXdEgNFZQ==",
       "dev": true,
       "dependencies": {
-        "get-intrinsic": "^1.2.2"
+        "@jest/schemas": "^29.6.3",
+        "ansi-styles": "^5.0.0",
+        "react-is": "^18.0.0"
       },
-      "funding": {
-        "url": "https://github.com/sponsors/ljharb"
-      }
-    },
-    "node_modules/has-proto": {
-      "version": "1.0.1",
-      "resolved": "https://registry.npmjs.org/has-proto/-/has-proto-1.0.1.tgz",
-      "integrity": "sha512-7qE+iP+O+bgF9clE5+UoBFzE65mlBiVj3tKCrlNQ0Ogwm0BjpT/gK4SlLYDMybDh5I3TCTKnPPa0oMG7JDYrhg==",
-      "dev": true,
       "engines": {
-        "node": ">= 0.4"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/ljharb"
+        "node": "^14.15.0 || ^16.10.0 || >=18.0.0"
       }
     },
-    "node_modules/has-symbols": {
-      "version": "1.0.3",
-      "resolved": "https://registry.npmjs.org/has-symbols/-/has-symbols-1.0.3.tgz",
-      "integrity": "sha512-l3LCuF6MgDNwTDKkdYGEihYjt5pRPbEg46rtlmnSPlUbgmB8LOIrKJbYYFBSbnPaJexMKtiPO8hmeRjRz2Td+A==",
+    "node_modules/jest-diff/node_modules/pretty-format/node_modules/ansi-styles": {
+      "version": "5.2.0",
+      "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-5.2.0.tgz",
+      "integrity": "sha512-Cxwpt2SfTzTtXcfOlzGEee8O+c+MmUgGrNiBcXnuWxuFJHe6a5Hz7qwhwe5OgaSYI0IJvkLqWX1ASG+cJOkEiA==",
       "dev": true,
       "engines": {
-        "node": ">= 0.4"
+        "node": ">=10"
       },
       "funding": {
-        "url": "https://github.com/sponsors/ljharb"
+        "url": "https://github.com/chalk/ansi-styles?sponsor=1"
       }
     },
-    "node_modules/has-tostringtag": {
-      "version": "1.0.2",
-      "resolved": "https://registry.npmjs.org/has-tostringtag/-/has-tostringtag-1.0.2.tgz",
-      "integrity": "sha512-NqADB8VjPFLM2V0VvHUewwwsw0ZWBaIdgo+ieHtK3hasLz4qeCRjYcqfB6AQrBggRKppKF8L52/VqdVsO47Dlw==",
+    "node_modules/jest-diff/node_modules/react-is": {
+      "version": "18.3.1",
+      "resolved": "https://registry.npmjs.org/react-is/-/react-is-18.3.1.tgz",
+      "integrity": "sha512-/LLMVyas0ljjAtoYiPqYiL8VWXzUUdThrmU5+n20DZv+a+ClRoevUzw5JxU+Ieh5/c87ytoTBV9G1FiKfNJdmg==",
+      "dev": true
+    },
+    "node_modules/jest-diff/node_modules/supports-color": {
+      "version": "7.2.0",
+      "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-7.2.0.tgz",
+      "integrity": "sha512-qpCAvRl9stuOHveKsn7HncJRvv501qIacKzQlO/+Lwxc9+0q2wLyv4Dfvt80/DPn2pqOBsJdDiogXGR9+OvwRw==",
       "dev": true,
       "dependencies": {
-        "has-symbols": "^1.0.3"
+        "has-flag": "^4.0.0"
       },
       "engines": {
-        "node": ">= 0.4"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/ljharb"
+        "node": ">=8"
       }
     },
-    "node_modules/hasown": {
-      "version": "2.0.0",
-      "resolved": "https://registry.npmjs.org/hasown/-/hasown-2.0.0.tgz",
-      "integrity": "sha512-vUptKVTpIJhcczKBbgnS+RtcuYMB8+oNzPK2/Hp3hanz8JmpATdmmgLgSaadVREkDm+e2giHwY3ZRkyjSIDDFA==",
-      "dependencies": {
-        "function-bind": "^1.1.2"
-      },
+    "node_modules/jest-get-type": {
+      "version": "29.6.3",
+      "resolved": "https://registry.npmjs.org/jest-get-type/-/jest-get-type-29.6.3.tgz",
+      "integrity": "sha512-zrteXnqYxfQh7l5FHyL38jL39di8H8rHoecLH3JNxH3BwOrBsNeabdap5e0I23lD4HHI8W5VFBZqG4Eaq5LNcw==",
+      "dev": true,
       "engines": {
-        "node": ">= 0.4"
+        "node": "^14.15.0 || ^16.10.0 || >=18.0.0"
       }
     },
-    "node_modules/hast-util-from-dom": {
-      "version": "4.2.0",
-      "resolved": "https://registry.npmjs.org/hast-util-from-dom/-/hast-util-from-dom-4.2.0.tgz",
-      "integrity": "sha512-t1RJW/OpJbCAJQeKi3Qrj1cAOLA0+av/iPFori112+0X7R3wng+jxLA+kXec8K4szqPRGI8vPxbbpEYvvpwaeQ==",
+    "node_modules/jest-matcher-utils": {
+      "version": "29.7.0",
+      "resolved": "https://registry.npmjs.org/jest-matcher-utils/-/jest-matcher-utils-29.7.0.tgz",
+      "integrity": "sha512-sBkD+Xi9DtcChsI3L3u0+N0opgPYnCRPtGcQYrgXmR+hmt/fYfWAL0xRXYU8eWOdfuLgBe0YCW3AFtnRLagq/g==",
+      "dev": true,
       "dependencies": {
-        "hastscript": "^7.0.0",
-        "web-namespaces": "^2.0.0"
+        "chalk": "^4.0.0",
+        "jest-diff": "^29.7.0",
+        "jest-get-type": "^29.6.3",
+        "pretty-format": "^29.7.0"
       },
-      "funding": {
-        "type": "opencollective",
-        "url": "https://opencollective.com/unified"
+      "engines": {
+        "node": "^14.15.0 || ^16.10.0 || >=18.0.0"
       }
     },
-    "node_modules/hast-util-from-dom/node_modules/hast-util-parse-selector": {
-      "version": "3.1.1",
-      "resolved": "https://registry.npmjs.org/hast-util-parse-selector/-/hast-util-parse-selector-3.1.1.tgz",
-      "integrity": "sha512-jdlwBjEexy1oGz0aJ2f4GKMaVKkA9jwjr4MjAAI22E5fM/TXVZHuS5OpONtdeIkRKqAaryQ2E9xNQxijoThSZA==",
+    "node_modules/jest-matcher-utils/node_modules/ansi-styles": {
+      "version": "4.3.0",
+      "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-4.3.0.tgz",
+      "integrity": "sha512-zbB9rCJAT1rbjiVDb2hqKFHNYLxgtk8NURxZ3IZwD3F6NtxbXZQCnnSi1Lkx+IDohdPlFp222wVALIheZJQSEg==",
+      "dev": true,
       "dependencies": {
-        "@types/hast": "^2.0.0"
+        "color-convert": "^2.0.1"
+      },
+      "engines": {
+        "node": ">=8"
       },
       "funding": {
-        "type": "opencollective",
-        "url": "https://opencollective.com/unified"
+        "url": "https://github.com/chalk/ansi-styles?sponsor=1"
       }
     },
-    "node_modules/hast-util-from-dom/node_modules/hastscript": {
-      "version": "7.2.0",
-      "resolved": "https://registry.npmjs.org/hastscript/-/hastscript-7.2.0.tgz",
-      "integrity": "sha512-TtYPq24IldU8iKoJQqvZOuhi5CyCQRAbvDOX0x1eW6rsHSxa/1i2CCiptNTotGHJ3VoHRGmqiv6/D3q113ikkw==",
+    "node_modules/jest-matcher-utils/node_modules/chalk": {
+      "version": "4.1.2",
+      "resolved": "https://registry.npmjs.org/chalk/-/chalk-4.1.2.tgz",
+      "integrity": "sha512-oKnbhFyRIXpUuez8iBMmyEa4nbj4IOQyuhc/wy9kY7/WVPcwIO9VA668Pu8RkO7+0G76SLROeyw9CpQ061i4mA==",
+      "dev": true,
       "dependencies": {
-        "@types/hast": "^2.0.0",
-        "comma-separated-tokens": "^2.0.0",
-        "hast-util-parse-selector": "^3.0.0",
-        "property-information": "^6.0.0",
-        "space-separated-tokens": "^2.0.0"
+        "ansi-styles": "^4.1.0",
+        "supports-color": "^7.1.0"
+      },
+      "engines": {
+        "node": ">=10"
       },
       "funding": {
-        "type": "opencollective",
-        "url": "https://opencollective.com/unified"
+        "url": "https://github.com/chalk/chalk?sponsor=1"
       }
     },
-    "node_modules/hast-util-is-element": {
-      "version": "2.1.3",
-      "resolved": "https://registry.npmjs.org/hast-util-is-element/-/hast-util-is-element-2.1.3.tgz",
-      "integrity": "sha512-O1bKah6mhgEq2WtVMk+Ta5K7pPMqsBBlmzysLdcwKVrqzZQ0CHqUPiIVspNhAG1rvxpvJjtGee17XfauZYKqVA==",
+    "node_modules/jest-matcher-utils/node_modules/color-convert": {
+      "version": "2.0.1",
+      "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-2.0.1.tgz",
+      "integrity": "sha512-RRECPsj7iu/xb5oKYcsFHSppFNnsj/52OVTRKb4zP5onXwVF3zVmmToNcOfGC+CRDpfK/U584fMg38ZHCaElKQ==",
+      "dev": true,
       "dependencies": {
-        "@types/hast": "^2.0.0",
-        "@types/unist": "^2.0.0"
+        "color-name": "~1.1.4"
       },
-      "funding": {
-        "type": "opencollective",
-        "url": "https://opencollective.com/unified"
+      "engines": {
+        "node": ">=7.0.0"
       }
     },
-    "node_modules/hast-util-parse-selector": {
-      "version": "2.2.5",
-      "resolved": "https://registry.npmjs.org/hast-util-parse-selector/-/hast-util-parse-selector-2.2.5.tgz",
-      "integrity": "sha512-7j6mrk/qqkSehsM92wQjdIgWM2/BW61u/53G6xmC8i1OmEdKLHbk419QKQUjz6LglWsfqoiHmyMRkP1BGjecNQ==",
-      "funding": {
-        "type": "opencollective",
-        "url": "https://opencollective.com/unified"
+    "node_modules/jest-matcher-utils/node_modules/color-name": {
+      "version": "1.1.4",
+      "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz",
+      "integrity": "sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA==",
+      "dev": true
+    },
+    "node_modules/jest-matcher-utils/node_modules/has-flag": {
+      "version": "4.0.0",
+      "resolved": "https://registry.npmjs.org/has-flag/-/has-flag-4.0.0.tgz",
+      "integrity": "sha512-EykJT/Q1KjTWctppgIAgfSO0tKVuZUjhgMr17kqTumMl6Afv3EISleU7qZUzoXDFTAHTDC4NOoG/ZxU3EvlMPQ==",
+      "dev": true,
+      "engines": {
+        "node": ">=8"
       }
     },
-    "node_modules/hast-util-to-text": {
-      "version": "3.1.2",
-      "resolved": "https://registry.npmjs.org/hast-util-to-text/-/hast-util-to-text-3.1.2.tgz",
-      "integrity": "sha512-tcllLfp23dJJ+ju5wCCZHVpzsQQ43+moJbqVX3jNWPB7z/KFC4FyZD6R7y94cHL6MQ33YtMZL8Z0aIXXI4XFTw==",
+    "node_modules/jest-matcher-utils/node_modules/pretty-format": {
+      "version": "29.7.0",
+      "resolved": "https://registry.npmjs.org/pretty-format/-/pretty-format-29.7.0.tgz",
+      "integrity": "sha512-Pdlw/oPxN+aXdmM9R00JVC9WVFoCLTKJvDVLgmJ+qAffBMxsV85l/Lu7sNx4zSzPyoL2euImuEwHhOXdEgNFZQ==",
+      "dev": true,
       "dependencies": {
-        "@types/hast": "^2.0.0",
-        "@types/unist": "^2.0.0",
-        "hast-util-is-element": "^2.0.0",
-        "unist-util-find-after": "^4.0.0"
+        "@jest/schemas": "^29.6.3",
+        "ansi-styles": "^5.0.0",
+        "react-is": "^18.0.0"
       },
-      "funding": {
-        "type": "opencollective",
-        "url": "https://opencollective.com/unified"
-      }
-    },
-    "node_modules/hast-util-whitespace": {
-      "version": "2.0.1",
-      "resolved": "https://registry.npmjs.org/hast-util-whitespace/-/hast-util-whitespace-2.0.1.tgz",
-      "integrity": "sha512-nAxA0v8+vXSBDt3AnRUNjyRIQ0rD+ntpbAp4LnPkumc5M9yUbSMa4XDU9Q6etY4f1Wp4bNgvc1yjiZtsTTrSng==",
-      "funding": {
-        "type": "opencollective",
-        "url": "https://opencollective.com/unified"
+      "engines": {
+        "node": "^14.15.0 || ^16.10.0 || >=18.0.0"
       }
     },
-    "node_modules/hastscript": {
-      "version": "6.0.0",
-      "resolved": "https://registry.npmjs.org/hastscript/-/hastscript-6.0.0.tgz",
-      "integrity": "sha512-nDM6bvd7lIqDUiYEiu5Sl/+6ReP0BMk/2f4U/Rooccxkj0P5nm+acM5PrGJ/t5I8qPGiqZSE6hVAwZEdZIvP4w==",
-      "dependencies": {
-        "@types/hast": "^2.0.0",
-        "comma-separated-tokens": "^1.0.0",
-        "hast-util-parse-selector": "^2.0.0",
-        "property-information": "^5.0.0",
-        "space-separated-tokens": "^1.0.0"
+    "node_modules/jest-matcher-utils/node_modules/pretty-format/node_modules/ansi-styles": {
+      "version": "5.2.0",
+      "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-5.2.0.tgz",
+      "integrity": "sha512-Cxwpt2SfTzTtXcfOlzGEee8O+c+MmUgGrNiBcXnuWxuFJHe6a5Hz7qwhwe5OgaSYI0IJvkLqWX1ASG+cJOkEiA==",
+      "dev": true,
+      "engines": {
+        "node": ">=10"
       },
       "funding": {
-        "type": "opencollective",
-        "url": "https://opencollective.com/unified"
+        "url": "https://github.com/chalk/ansi-styles?sponsor=1"
       }
     },
-    "node_modules/hastscript/node_modules/comma-separated-tokens": {
-      "version": "1.0.8",
-      "resolved": "https://registry.npmjs.org/comma-separated-tokens/-/comma-separated-tokens-1.0.8.tgz",
-      "integrity": "sha512-GHuDRO12Sypu2cV70d1dkA2EUmXHgntrzbpvOB+Qy+49ypNfGgFQIC2fhhXbnyrJRynDCAARsT7Ou0M6hirpfw==",
-      "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/wooorm"
-      }
+    "node_modules/jest-matcher-utils/node_modules/react-is": {
+      "version": "18.3.1",
+      "resolved": "https://registry.npmjs.org/react-is/-/react-is-18.3.1.tgz",
+      "integrity": "sha512-/LLMVyas0ljjAtoYiPqYiL8VWXzUUdThrmU5+n20DZv+a+ClRoevUzw5JxU+Ieh5/c87ytoTBV9G1FiKfNJdmg==",
+      "dev": true
     },
-    "node_modules/hastscript/node_modules/property-information": {
-      "version": "5.6.0",
-      "resolved": "https://registry.npmjs.org/property-information/-/property-information-5.6.0.tgz",
-      "integrity": "sha512-YUHSPk+A30YPv+0Qf8i9Mbfe/C0hdPXk1s1jPVToV8pk8BQtpw10ct89Eo7OWkutrwqvT0eicAxlOg3dOAu8JA==",
+    "node_modules/jest-matcher-utils/node_modules/supports-color": {
+      "version": "7.2.0",
+      "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-7.2.0.tgz",
+      "integrity": "sha512-qpCAvRl9stuOHveKsn7HncJRvv501qIacKzQlO/+Lwxc9+0q2wLyv4Dfvt80/DPn2pqOBsJdDiogXGR9+OvwRw==",
+      "dev": true,
       "dependencies": {
-        "xtend": "^4.0.0"
+        "has-flag": "^4.0.0"
       },
-      "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/wooorm"
-      }
-    },
-    "node_modules/hastscript/node_modules/space-separated-tokens": {
-      "version": "1.1.5",
-      "resolved": "https://registry.npmjs.org/space-separated-tokens/-/space-separated-tokens-1.1.5.tgz",
-      "integrity": "sha512-q/JSVd1Lptzhf5bkYm4ob4iWPjx0KiRe3sRFBNrVqbJkFaBm5vbbowy1mymoPNLRa52+oadOhJ+K49wsSeSjTA==",
-      "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/wooorm"
-      }
-    },
-    "node_modules/highlight.js": {
-      "version": "10.7.3",
-      "resolved": "https://registry.npmjs.org/highlight.js/-/highlight.js-10.7.3.tgz",
-      "integrity": "sha512-tzcUFauisWKNHaRkN4Wjl/ZA07gENAjFl3J/c480dprkGTg5EQstgaNFqBfUqCq54kZRIEcreTsAgF/m2quD7A==",
       "engines": {
-        "node": "*"
+        "node": ">=8"
       }
     },
-    "node_modules/hoist-non-react-statics": {
-      "version": "3.3.2",
-      "resolved": "https://registry.npmjs.org/hoist-non-react-statics/-/hoist-non-react-statics-3.3.2.tgz",
-      "integrity": "sha512-/gGivxi8JPKWNm/W0jSmzcMPpfpPLc3dY/6GxhX2hQ9iGj3aDfklV4ET7NjKpSinLpJ5vafa9iiGIEZg10SfBw==",
+    "node_modules/jest-message-util": {
+      "version": "29.7.0",
+      "resolved": "https://registry.npmjs.org/jest-message-util/-/jest-message-util-29.7.0.tgz",
+      "integrity": "sha512-GBEV4GRADeP+qtB2+6u61stea8mGcOT4mCtrYISZwfu9/ISHFJ/5zOMXYbpBE9RsS5+Gb63DW4FgmnKJ79Kf6w==",
+      "dev": true,
       "dependencies": {
-        "react-is": "^16.7.0"
+        "@babel/code-frame": "^7.12.13",
+        "@jest/types": "^29.6.3",
+        "@types/stack-utils": "^2.0.0",
+        "chalk": "^4.0.0",
+        "graceful-fs": "^4.2.9",
+        "micromatch": "^4.0.4",
+        "pretty-format": "^29.7.0",
+        "slash": "^3.0.0",
+        "stack-utils": "^2.0.3"
+      },
+      "engines": {
+        "node": "^14.15.0 || ^16.10.0 || >=18.0.0"
       }
     },
-    "node_modules/hoist-non-react-statics/node_modules/react-is": {
-      "version": "16.13.1",
-      "resolved": "https://registry.npmjs.org/react-is/-/react-is-16.13.1.tgz",
-      "integrity": "sha512-24e6ynE2H+OKt4kqsOvNd8kBpV65zoxbA4BVsEOB3ARVWQki/DHzaUoC5KuON/BiccDaCCTZBuOcfZs70kR8bQ=="
-    },
-    "node_modules/html-encoding-sniffer": {
-      "version": "3.0.0",
-      "resolved": "https://registry.npmjs.org/html-encoding-sniffer/-/html-encoding-sniffer-3.0.0.tgz",
-      "integrity": "sha512-oWv4T4yJ52iKrufjnyZPkrN0CH3QnrUqdB6In1g5Fe1mia8GmF36gnfNySxoZtxD5+NmYw1EElVXiBk93UeskA==",
+    "node_modules/jest-message-util/node_modules/ansi-styles": {
+      "version": "4.3.0",
+      "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-4.3.0.tgz",
+      "integrity": "sha512-zbB9rCJAT1rbjiVDb2hqKFHNYLxgtk8NURxZ3IZwD3F6NtxbXZQCnnSi1Lkx+IDohdPlFp222wVALIheZJQSEg==",
+      "dev": true,
       "dependencies": {
-        "whatwg-encoding": "^2.0.0"
+        "color-convert": "^2.0.1"
       },
       "engines": {
-        "node": ">=12"
+        "node": ">=8"
+      },
+      "funding": {
+        "url": "https://github.com/chalk/ansi-styles?sponsor=1"
       }
     },
-    "node_modules/http-cache-semantics": {
-      "version": "4.1.1",
-      "resolved": "https://registry.npmjs.org/http-cache-semantics/-/http-cache-semantics-4.1.1.tgz",
-      "integrity": "sha512-er295DKPVsV82j5kw1Gjt+ADA/XYHsajl82cGNQG2eyoPkvgUhX+nDIyelzhIWbbsXP39EHcI6l5tYs2FYqYXQ==",
-      "dev": true
-    },
-    "node_modules/http-proxy-agent": {
-      "version": "5.0.0",
-      "resolved": "https://registry.npmjs.org/http-proxy-agent/-/http-proxy-agent-5.0.0.tgz",
-      "integrity": "sha512-n2hY8YdoRE1i7r6M0w9DIw5GgZN0G25P8zLCRQ8rjXtTU3vsNFBI/vWK/UIeE6g5MUUz6avwAPXmL6Fy9D/90w==",
+    "node_modules/jest-message-util/node_modules/chalk": {
+      "version": "4.1.2",
+      "resolved": "https://registry.npmjs.org/chalk/-/chalk-4.1.2.tgz",
+      "integrity": "sha512-oKnbhFyRIXpUuez8iBMmyEa4nbj4IOQyuhc/wy9kY7/WVPcwIO9VA668Pu8RkO7+0G76SLROeyw9CpQ061i4mA==",
+      "dev": true,
       "dependencies": {
-        "@tootallnate/once": "2",
-        "agent-base": "6",
-        "debug": "4"
+        "ansi-styles": "^4.1.0",
+        "supports-color": "^7.1.0"
       },
       "engines": {
-        "node": ">= 6"
+        "node": ">=10"
+      },
+      "funding": {
+        "url": "https://github.com/chalk/chalk?sponsor=1"
       }
     },
-    "node_modules/http2-wrapper": {
-      "version": "1.0.3",
-      "resolved": "https://registry.npmjs.org/http2-wrapper/-/http2-wrapper-1.0.3.tgz",
-      "integrity": "sha512-V+23sDMr12Wnz7iTcDeJr3O6AIxlnvT/bmaAAAP/Xda35C90p9599p0F1eHR/N1KILWSoWVAiOMFjBBXaXSMxg==",
+    "node_modules/jest-message-util/node_modules/color-convert": {
+      "version": "2.0.1",
+      "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-2.0.1.tgz",
+      "integrity": "sha512-RRECPsj7iu/xb5oKYcsFHSppFNnsj/52OVTRKb4zP5onXwVF3zVmmToNcOfGC+CRDpfK/U584fMg38ZHCaElKQ==",
       "dev": true,
       "dependencies": {
-        "quick-lru": "^5.1.1",
-        "resolve-alpn": "^1.0.0"
+        "color-name": "~1.1.4"
       },
       "engines": {
-        "node": ">=10.19.0"
+        "node": ">=7.0.0"
       }
     },
-    "node_modules/https-proxy-agent": {
-      "version": "5.0.1",
-      "resolved": "https://registry.npmjs.org/https-proxy-agent/-/https-proxy-agent-5.0.1.tgz",
-      "integrity": "sha512-dFcAjpTQFgoLMzC2VwU+C/CbS7uRL0lWmxDITmqm7C+7F0Odmj6s9l6alZc6AELXhrnggM2CeWSXHGOdX2YtwA==",
+    "node_modules/jest-message-util/node_modules/color-name": {
+      "version": "1.1.4",
+      "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz",
+      "integrity": "sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA==",
+      "dev": true
+    },
+    "node_modules/jest-message-util/node_modules/has-flag": {
+      "version": "4.0.0",
+      "resolved": "https://registry.npmjs.org/has-flag/-/has-flag-4.0.0.tgz",
+      "integrity": "sha512-EykJT/Q1KjTWctppgIAgfSO0tKVuZUjhgMr17kqTumMl6Afv3EISleU7qZUzoXDFTAHTDC4NOoG/ZxU3EvlMPQ==",
+      "dev": true,
+      "engines": {
+        "node": ">=8"
+      }
+    },
+    "node_modules/jest-message-util/node_modules/pretty-format": {
+      "version": "29.7.0",
+      "resolved": "https://registry.npmjs.org/pretty-format/-/pretty-format-29.7.0.tgz",
+      "integrity": "sha512-Pdlw/oPxN+aXdmM9R00JVC9WVFoCLTKJvDVLgmJ+qAffBMxsV85l/Lu7sNx4zSzPyoL2euImuEwHhOXdEgNFZQ==",
+      "dev": true,
       "dependencies": {
-        "agent-base": "6",
-        "debug": "4"
+        "@jest/schemas": "^29.6.3",
+        "ansi-styles": "^5.0.0",
+        "react-is": "^18.0.0"
       },
       "engines": {
-        "node": ">= 6"
+        "node": "^14.15.0 || ^16.10.0 || >=18.0.0"
       }
     },
-    "node_modules/human-signals": {
-      "version": "2.1.0",
-      "resolved": "https://registry.npmjs.org/human-signals/-/human-signals-2.1.0.tgz",
-      "integrity": "sha512-B4FFZ6q/T2jhhksgkbEW3HBvWIfDW85snkQgawt07S7J5QXTk6BkNV+0yAeZrM5QpMAdYlocGoljn0sJ/WQkFw==",
+    "node_modules/jest-message-util/node_modules/pretty-format/node_modules/ansi-styles": {
+      "version": "5.2.0",
+      "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-5.2.0.tgz",
+      "integrity": "sha512-Cxwpt2SfTzTtXcfOlzGEee8O+c+MmUgGrNiBcXnuWxuFJHe6a5Hz7qwhwe5OgaSYI0IJvkLqWX1ASG+cJOkEiA==",
       "dev": true,
       "engines": {
-        "node": ">=10.17.0"
+        "node": ">=10"
+      },
+      "funding": {
+        "url": "https://github.com/chalk/ansi-styles?sponsor=1"
       }
     },
-    "node_modules/iconv-lite": {
-      "version": "0.6.3",
-      "resolved": "https://registry.npmjs.org/iconv-lite/-/iconv-lite-0.6.3.tgz",
-      "integrity": "sha512-4fCk79wshMdzMp2rH06qWrJE4iolqLhCUH+OiuIgU++RB0+94NlDL81atO7GX55uUKueo0txHNtvEyI6D7WdMw==",
+    "node_modules/jest-message-util/node_modules/react-is": {
+      "version": "18.3.1",
+      "resolved": "https://registry.npmjs.org/react-is/-/react-is-18.3.1.tgz",
+      "integrity": "sha512-/LLMVyas0ljjAtoYiPqYiL8VWXzUUdThrmU5+n20DZv+a+ClRoevUzw5JxU+Ieh5/c87ytoTBV9G1FiKfNJdmg==",
+      "dev": true
+    },
+    "node_modules/jest-message-util/node_modules/supports-color": {
+      "version": "7.2.0",
+      "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-7.2.0.tgz",
+      "integrity": "sha512-qpCAvRl9stuOHveKsn7HncJRvv501qIacKzQlO/+Lwxc9+0q2wLyv4Dfvt80/DPn2pqOBsJdDiogXGR9+OvwRw==",
+      "dev": true,
       "dependencies": {
-        "safer-buffer": ">= 2.1.2 < 3.0.0"
+        "has-flag": "^4.0.0"
       },
       "engines": {
-        "node": ">=0.10.0"
+        "node": ">=8"
       }
     },
-    "node_modules/ieee754": {
-      "version": "1.2.1",
-      "resolved": "https://registry.npmjs.org/ieee754/-/ieee754-1.2.1.tgz",
-      "integrity": "sha512-dcyqhDvX1C46lXZcVqCpK+FtMRQVdIMN6/Df5js2zouUsqG7I6sFxitIC+7KYK29KdXOLHdu9zL4sFnoVQnqaA==",
-      "funding": [
-        {
-          "type": "github",
-          "url": "https://github.com/sponsors/feross"
-        },
-        {
-          "type": "patreon",
-          "url": "https://www.patreon.com/feross"
-        },
-        {
-          "type": "consulting",
-          "url": "https://feross.org/support"
-        }
-      ]
+    "node_modules/jest-util": {
+      "version": "29.7.0",
+      "resolved": "https://registry.npmjs.org/jest-util/-/jest-util-29.7.0.tgz",
+      "integrity": "sha512-z6EbKajIpqGKU56y5KBUgy1dt1ihhQJgWzUlZHArA/+X2ad7Cb5iF+AK1EWVL/Bo7Rz9uurpqw6SiBCefUbCGA==",
+      "dev": true,
+      "dependencies": {
+        "@jest/types": "^29.6.3",
+        "@types/node": "*",
+        "chalk": "^4.0.0",
+        "ci-info": "^3.2.0",
+        "graceful-fs": "^4.2.9",
+        "picomatch": "^2.2.3"
+      },
+      "engines": {
+        "node": "^14.15.0 || ^16.10.0 || >=18.0.0"
+      }
     },
-    "node_modules/ignore": {
-      "version": "5.3.1",
-      "resolved": "https://registry.npmjs.org/ignore/-/ignore-5.3.1.tgz",
-      "integrity": "sha512-5Fytz/IraMjqpwfd34ke28PTVMjZjJG2MPn5t7OE4eUCUNf8BAa7b5WUS9/Qvr6mwOQS7Mk6vdsMno5he+T8Xw==",
+    "node_modules/jest-util/node_modules/ansi-styles": {
+      "version": "4.3.0",
+      "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-4.3.0.tgz",
+      "integrity": "sha512-zbB9rCJAT1rbjiVDb2hqKFHNYLxgtk8NURxZ3IZwD3F6NtxbXZQCnnSi1Lkx+IDohdPlFp222wVALIheZJQSEg==",
       "dev": true,
+      "dependencies": {
+        "color-convert": "^2.0.1"
+      },
       "engines": {
-        "node": ">= 4"
+        "node": ">=8"
+      },
+      "funding": {
+        "url": "https://github.com/chalk/ansi-styles?sponsor=1"
       }
     },
-    "node_modules/import-fresh": {
-      "version": "3.3.0",
-      "resolved": "https://registry.npmjs.org/import-fresh/-/import-fresh-3.3.0.tgz",
-      "integrity": "sha512-veYYhQa+D1QBKznvhUHxb8faxlrwUnxseDAbAp457E0wLNio2bOSKnjYDhMj+YiAq61xrMGhQk9iXVk5FzgQMw==",
+    "node_modules/jest-util/node_modules/chalk": {
+      "version": "4.1.2",
+      "resolved": "https://registry.npmjs.org/chalk/-/chalk-4.1.2.tgz",
+      "integrity": "sha512-oKnbhFyRIXpUuez8iBMmyEa4nbj4IOQyuhc/wy9kY7/WVPcwIO9VA668Pu8RkO7+0G76SLROeyw9CpQ061i4mA==",
+      "dev": true,
       "dependencies": {
-        "parent-module": "^1.0.0",
-        "resolve-from": "^4.0.0"
+        "ansi-styles": "^4.1.0",
+        "supports-color": "^7.1.0"
       },
       "engines": {
-        "node": ">=6"
+        "node": ">=10"
       },
       "funding": {
-        "url": "https://github.com/sponsors/sindresorhus"
+        "url": "https://github.com/chalk/chalk?sponsor=1"
       }
     },
-    "node_modules/indent-string": {
-      "version": "4.0.0",
-      "resolved": "https://registry.npmjs.org/indent-string/-/indent-string-4.0.0.tgz",
-      "integrity": "sha512-EdDDZu4A2OyIK7Lr/2zG+w5jmbuk1DVBnEwREQvBzspBJkCEbRa8GxU1lghYcaGJCnRWibjDXlq779X1/y5xwg==",
+    "node_modules/jest-util/node_modules/color-convert": {
+      "version": "2.0.1",
+      "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-2.0.1.tgz",
+      "integrity": "sha512-RRECPsj7iu/xb5oKYcsFHSppFNnsj/52OVTRKb4zP5onXwVF3zVmmToNcOfGC+CRDpfK/U584fMg38ZHCaElKQ==",
       "dev": true,
+      "dependencies": {
+        "color-name": "~1.1.4"
+      },
       "engines": {
-        "node": ">=8"
+        "node": ">=7.0.0"
       }
     },
-    "node_modules/inherits": {
-      "version": "2.0.4",
-      "resolved": "https://registry.npmjs.org/inherits/-/inherits-2.0.4.tgz",
-      "integrity": "sha512-k/vGaX4/Yla3WzyMCvTQOXYeIHvqOKtnqBduzTHpzpQZzAskKMhZ2K+EnBiSM9zGSoIFeMpXKxa4dYeZIQqewQ=="
+    "node_modules/jest-util/node_modules/color-name": {
+      "version": "1.1.4",
+      "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz",
+      "integrity": "sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA==",
+      "dev": true
     },
-    "node_modules/inline-style-parser": {
-      "version": "0.1.1",
-      "resolved": "https://registry.npmjs.org/inline-style-parser/-/inline-style-parser-0.1.1.tgz",
-      "integrity": "sha512-7NXolsK4CAS5+xvdj5OMMbI962hU/wvwoxk+LWR9Ek9bVtyuuYScDN6eS0rUm6TxApFpw7CX1o4uJzcd4AyD3Q=="
+    "node_modules/jest-util/node_modules/has-flag": {
+      "version": "4.0.0",
+      "resolved": "https://registry.npmjs.org/has-flag/-/has-flag-4.0.0.tgz",
+      "integrity": "sha512-EykJT/Q1KjTWctppgIAgfSO0tKVuZUjhgMr17kqTumMl6Afv3EISleU7qZUzoXDFTAHTDC4NOoG/ZxU3EvlMPQ==",
+      "dev": true,
+      "engines": {
+        "node": ">=8"
+      }
     },
-    "node_modules/internal-slot": {
-      "version": "1.0.7",
-      "resolved": "https://registry.npmjs.org/internal-slot/-/internal-slot-1.0.7.tgz",
-      "integrity": "sha512-NGnrKwXzSms2qUUih/ILZ5JBqNTSa1+ZmP6flaIp6KmSElgE9qdndzS3cqjrDovwFdmwsGsLdeFgB6suw+1e9g==",
+    "node_modules/jest-util/node_modules/supports-color": {
+      "version": "7.2.0",
+      "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-7.2.0.tgz",
+      "integrity": "sha512-qpCAvRl9stuOHveKsn7HncJRvv501qIacKzQlO/+Lwxc9+0q2wLyv4Dfvt80/DPn2pqOBsJdDiogXGR9+OvwRw==",
       "dev": true,
       "dependencies": {
-        "es-errors": "^1.3.0",
-        "hasown": "^2.0.0",
-        "side-channel": "^1.0.4"
+        "has-flag": "^4.0.0"
       },
       "engines": {
-        "node": ">= 0.4"
+        "node": ">=8"
       }
     },
-    "node_modules/invariant": {
-      "version": "2.2.4",
-      "resolved": "https://registry.npmjs.org/invariant/-/invariant-2.2.4.tgz",
-      "integrity": "sha512-phJfQVBuaJM5raOpJjSfkiD6BpbCE4Ns//LaXl6wGYtUBY83nWS6Rf9tXm2e8VaK60JEjYldbPif/A2B1C2gNA==",
-      "dependencies": {
-        "loose-envify": "^1.0.0"
+    "node_modules/jiti": {
+      "version": "1.21.6",
+      "resolved": "https://registry.npmjs.org/jiti/-/jiti-1.21.6.tgz",
+      "integrity": "sha512-2yTgeWTWzMWkHu6Jp9NKgePDaYHbntiwvYuuJLbbN9vl7DC9DvXKOB2BC3ZZ92D3cvV/aflH0osDfwpHepQ53w==",
+      "bin": {
+        "jiti": "bin/jiti.js"
       }
     },
-    "node_modules/is-alphabetical": {
-      "version": "1.0.4",
-      "resolved": "https://registry.npmjs.org/is-alphabetical/-/is-alphabetical-1.0.4.tgz",
-      "integrity": "sha512-DwzsA04LQ10FHTZuL0/grVDk4rFoVH1pjAToYwBrHSxcrBIGQuXrQMtD5U1b0U2XVgKZCTLLP8u2Qxqhy3l2Vg==",
-      "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/wooorm"
+    "node_modules/js-tokens": {
+      "version": "4.0.0",
+      "resolved": "https://registry.npmjs.org/js-tokens/-/js-tokens-4.0.0.tgz",
+      "integrity": "sha512-RdJUflcE3cUzKiMqQgsCu06FPu9UdIJO0beYbPhHN4k6apgJtifcoCtT9bcxOpYBtpD2kCM6Sbzg4CausW/PKQ=="
+    },
+    "node_modules/js-yaml": {
+      "version": "4.1.0",
+      "resolved": "https://registry.npmjs.org/js-yaml/-/js-yaml-4.1.0.tgz",
+      "integrity": "sha512-wpxZs9NoxZaJESJGIZTyDEaYpl0FKSA+FB9aJiyemKhMwkxQg63h4T1KJgUGHpTqPDNRcmmYLugrRjJlBtWvRA==",
+      "dependencies": {
+        "argparse": "^2.0.1"
+      },
+      "bin": {
+        "js-yaml": "bin/js-yaml.js"
       }
     },
-    "node_modules/is-alphanumerical": {
-      "version": "1.0.4",
-      "resolved": "https://registry.npmjs.org/is-alphanumerical/-/is-alphanumerical-1.0.4.tgz",
-      "integrity": "sha512-UzoZUr+XfVz3t3v4KyGEniVL9BDRoQtY7tOyrRybkVNjDFWyo1yhXNGrrBTQxp3ib9BLAWs7k2YKBQsFRkZG9A==",
+    "node_modules/jsdom": {
+      "version": "20.0.3",
+      "resolved": "https://registry.npmjs.org/jsdom/-/jsdom-20.0.3.tgz",
+      "integrity": "sha512-SYhBvTh89tTfCD/CRdSOm13mOBa42iTaTyfyEWBdKcGdPxPtLFBXuHR8XHb33YNYaP+lLbmSvBTsnoesCNJEsQ==",
       "dependencies": {
-        "is-alphabetical": "^1.0.0",
-        "is-decimal": "^1.0.0"
+        "abab": "^2.0.6",
+        "acorn": "^8.8.1",
+        "acorn-globals": "^7.0.0",
+        "cssom": "^0.5.0",
+        "cssstyle": "^2.3.0",
+        "data-urls": "^3.0.2",
+        "decimal.js": "^10.4.2",
+        "domexception": "^4.0.0",
+        "escodegen": "^2.0.0",
+        "form-data": "^4.0.0",
+        "html-encoding-sniffer": "^3.0.0",
+        "http-proxy-agent": "^5.0.0",
+        "https-proxy-agent": "^5.0.1",
+        "is-potential-custom-element-name": "^1.0.1",
+        "nwsapi": "^2.2.2",
+        "parse5": "^7.1.1",
+        "saxes": "^6.0.0",
+        "symbol-tree": "^3.2.4",
+        "tough-cookie": "^4.1.2",
+        "w3c-xmlserializer": "^4.0.0",
+        "webidl-conversions": "^7.0.0",
+        "whatwg-encoding": "^2.0.0",
+        "whatwg-mimetype": "^3.0.0",
+        "whatwg-url": "^11.0.0",
+        "ws": "^8.11.0",
+        "xml-name-validator": "^4.0.0"
+      },
+      "engines": {
+        "node": ">=14"
+      },
+      "peerDependencies": {
+        "canvas": "^2.5.0"
       },
-      "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/wooorm"
+      "peerDependenciesMeta": {
+        "canvas": {
+          "optional": true
+        }
       }
     },
-    "node_modules/is-arguments": {
-      "version": "1.1.1",
-      "resolved": "https://registry.npmjs.org/is-arguments/-/is-arguments-1.1.1.tgz",
-      "integrity": "sha512-8Q7EARjzEnKpt/PCD7e1cgUS0a6X8u5tdSiMqXhojOdoV9TsMsiO+9VLC5vAmO8N7/GmXn7yjR8qnA6bVAEzfA==",
-      "dev": true,
+    "node_modules/jsdom/node_modules/tr46": {
+      "version": "3.0.0",
+      "resolved": "https://registry.npmjs.org/tr46/-/tr46-3.0.0.tgz",
+      "integrity": "sha512-l7FvfAHlcmulp8kr+flpQZmVwtu7nfRV7NZujtN0OqES8EL4O4e0qqzL0DC5gAvx/ZC/9lk6rhcUwYvkBnBnYA==",
       "dependencies": {
-        "call-bind": "^1.0.2",
-        "has-tostringtag": "^1.0.0"
+        "punycode": "^2.1.1"
       },
       "engines": {
-        "node": ">= 0.4"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/ljharb"
+        "node": ">=12"
       }
     },
-    "node_modules/is-array-buffer": {
-      "version": "3.0.4",
-      "resolved": "https://registry.npmjs.org/is-array-buffer/-/is-array-buffer-3.0.4.tgz",
-      "integrity": "sha512-wcjaerHw0ydZwfhiKbXJWLDY8A7yV7KhjQOpb83hGgGfId/aQa4TOvwyzn2PuswW2gPCYEL/nEAiSVpdOj1lXw==",
-      "dev": true,
+    "node_modules/jsdom/node_modules/whatwg-url": {
+      "version": "11.0.0",
+      "resolved": "https://registry.npmjs.org/whatwg-url/-/whatwg-url-11.0.0.tgz",
+      "integrity": "sha512-RKT8HExMpoYx4igMiVMY83lN6UeITKJlBQ+vR/8ZJ8OCdSiN3RwCq+9gH0+Xzj0+5IrM6i4j/6LuvzbZIQgEcQ==",
       "dependencies": {
-        "call-bind": "^1.0.2",
-        "get-intrinsic": "^1.2.1"
+        "tr46": "^3.0.0",
+        "webidl-conversions": "^7.0.0"
       },
       "engines": {
-        "node": ">= 0.4"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/ljharb"
+        "node": ">=12"
       }
     },
-    "node_modules/is-arrayish": {
-      "version": "0.2.1",
-      "resolved": "https://registry.npmjs.org/is-arrayish/-/is-arrayish-0.2.1.tgz",
-      "integrity": "sha512-zz06S8t0ozoDXMG+ube26zeCTNXcKIPJZJi8hBrF4idCLms4CG9QtK7qBl1boi5ODzFpjswb5JPmHCbMpjaYzg=="
-    },
-    "node_modules/is-bigint": {
-      "version": "1.0.4",
-      "resolved": "https://registry.npmjs.org/is-bigint/-/is-bigint-1.0.4.tgz",
-      "integrity": "sha512-zB9CruMamjym81i2JZ3UMn54PKGsQzsJeo6xvN3HJJ4CAsQNB6iRutp2To77OfCNuoxspsIhzaPoO1zyCEhFOg==",
-      "dev": true,
-      "dependencies": {
-        "has-bigints": "^1.0.1"
+    "node_modules/jsesc": {
+      "version": "2.5.2",
+      "resolved": "https://registry.npmjs.org/jsesc/-/jsesc-2.5.2.tgz",
+      "integrity": "sha512-OYu7XEzjkCQ3C5Ps3QIZsQfNpqoJyZZA99wd9aWd05NCtC5pWOkShK2mkL6HXQR6/Cy2lbNdPlZBpuQHXE63gA==",
+      "bin": {
+        "jsesc": "bin/jsesc"
       },
-      "funding": {
-        "url": "https://github.com/sponsors/ljharb"
+      "engines": {
+        "node": ">=4"
       }
     },
-    "node_modules/is-binary-path": {
-      "version": "2.1.0",
-      "resolved": "https://registry.npmjs.org/is-binary-path/-/is-binary-path-2.1.0.tgz",
-      "integrity": "sha512-ZMERYes6pDydyuGidse7OsHxtbI7WVeUEozgR/g7rd0xUimYNlvZRE/K2MgZTjWy725IfelLeVcEM97mmtRGXw==",
-      "dependencies": {
-        "binary-extensions": "^2.0.0"
+    "node_modules/json-buffer": {
+      "version": "3.0.1",
+      "resolved": "https://registry.npmjs.org/json-buffer/-/json-buffer-3.0.1.tgz",
+      "integrity": "sha512-4bV5BfR2mqfQTJm+V5tPPdf+ZpuhiIvTuAB5g8kcrXOZpTT/QwwVRWBywX1ozr6lEuPdbHxwaJlm9G6mI2sfSQ==",
+      "dev": true
+    },
+    "node_modules/json-parse-even-better-errors": {
+      "version": "2.3.1",
+      "resolved": "https://registry.npmjs.org/json-parse-even-better-errors/-/json-parse-even-better-errors-2.3.1.tgz",
+      "integrity": "sha512-xyFwyhro/JEof6Ghe2iz2NcXoj2sloNsWr/XsERDK/oiPCfaNhl5ONfp+jQdAZRQQ0IJWNzH9zIZF7li91kh2w=="
+    },
+    "node_modules/json-schema-traverse": {
+      "version": "0.4.1",
+      "resolved": "https://registry.npmjs.org/json-schema-traverse/-/json-schema-traverse-0.4.1.tgz",
+      "integrity": "sha512-xbbCH5dCYU5T8LcEhhuh7HJ88HXuW3qsI3Y0zOZFKfZEHcpWiHU/Jxzk629Brsab/mMiHQti9wMP+845RPe3Vg==",
+      "dev": true
+    },
+    "node_modules/json-stable-stringify-without-jsonify": {
+      "version": "1.0.1",
+      "resolved": "https://registry.npmjs.org/json-stable-stringify-without-jsonify/-/json-stable-stringify-without-jsonify-1.0.1.tgz",
+      "integrity": "sha512-Bdboy+l7tA3OGW6FjyFHWkP5LuByj1Tk33Ljyq0axyzdk9//JSi2u3fP1QSmd1KNwq6VOKYGlAu87CisVir6Pw==",
+      "dev": true
+    },
+    "node_modules/json5": {
+      "version": "2.2.3",
+      "resolved": "https://registry.npmjs.org/json5/-/json5-2.2.3.tgz",
+      "integrity": "sha512-XmOWe7eyHYH14cLdVPoyg+GOH3rYX++KpzrylJwSW98t3Nk+U8XOl8FWKOgwtzdb8lXGf6zYwDUzeHMWfxasyg==",
+      "bin": {
+        "json5": "lib/cli.js"
       },
       "engines": {
-        "node": ">=8"
+        "node": ">=6"
       }
     },
-    "node_modules/is-boolean-object": {
-      "version": "1.1.2",
-      "resolved": "https://registry.npmjs.org/is-boolean-object/-/is-boolean-object-1.1.2.tgz",
-      "integrity": "sha512-gDYaKHJmnj4aWxyj6YHyXVpdQawtVLHU5cb+eztPGczf6cjuTdwve5ZIEfgXqH4e57An1D1AKf8CZ3kYrQRqYA==",
-      "dev": true,
+    "node_modules/jsonfile": {
+      "version": "6.1.0",
+      "resolved": "https://registry.npmjs.org/jsonfile/-/jsonfile-6.1.0.tgz",
+      "integrity": "sha512-5dgndWOriYSm5cnYaJNhalLNDKOqFwyDB/rr1E9ZsGciGvKPs8R2xYGCacuf3z6K1YKDz182fd+fY3cn3pMqXQ==",
       "dependencies": {
-        "call-bind": "^1.0.2",
-        "has-tostringtag": "^1.0.0"
-      },
-      "engines": {
-        "node": ">= 0.4"
+        "universalify": "^2.0.0"
       },
-      "funding": {
-        "url": "https://github.com/sponsors/ljharb"
+      "optionalDependencies": {
+        "graceful-fs": "^4.1.6"
       }
     },
-    "node_modules/is-buffer": {
-      "version": "2.0.5",
-      "resolved": "https://registry.npmjs.org/is-buffer/-/is-buffer-2.0.5.tgz",
-      "integrity": "sha512-i2R6zNFDwgEHJyQUtJEk0XFi1i0dPFn/oqjK3/vPCcDeJvW5NQ83V8QbicfF1SupOaB0h8ntgBC2YiE7dfyctQ==",
+    "node_modules/katex": {
+      "version": "0.16.10",
+      "resolved": "https://registry.npmjs.org/katex/-/katex-0.16.10.tgz",
+      "integrity": "sha512-ZiqaC04tp2O5utMsl2TEZTXxa6WSC4yo0fv5ML++D3QZv/vx2Mct0mTlRx3O+uUkjfuAgOkzsCmq5MiUEsDDdA==",
       "funding": [
-        {
-          "type": "github",
-          "url": "https://github.com/sponsors/feross"
-        },
-        {
-          "type": "patreon",
-          "url": "https://www.patreon.com/feross"
-        },
-        {
-          "type": "consulting",
-          "url": "https://feross.org/support"
-        }
+        "https://opencollective.com/katex",
+        "https://github.com/sponsors/katex"
       ],
-      "engines": {
-        "node": ">=4"
+      "dependencies": {
+        "commander": "^8.3.0"
+      },
+      "bin": {
+        "katex": "cli.js"
       }
     },
-    "node_modules/is-callable": {
-      "version": "1.2.7",
-      "resolved": "https://registry.npmjs.org/is-callable/-/is-callable-1.2.7.tgz",
-      "integrity": "sha512-1BC0BVFhS/p0qtw6enp8e+8OD0UrK0oFLztSjNzhcKA3WDuJxxAPXzPuPtKkjEY9UUoEWlX/8fgKeu2S8i9JTA==",
+    "node_modules/keyv": {
+      "version": "4.5.4",
+      "resolved": "https://registry.npmjs.org/keyv/-/keyv-4.5.4.tgz",
+      "integrity": "sha512-oxVHkHR/EJf2CNXnWxRLW6mg7JyCCUcG0DtEGmL2ctUo1PNTin1PUil+r/+4r5MpVgC/fn1kjsx7mjSujKqIpw==",
       "dev": true,
-      "engines": {
-        "node": ">= 0.4"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/ljharb"
+      "dependencies": {
+        "json-buffer": "3.0.1"
       }
     },
-    "node_modules/is-core-module": {
-      "version": "2.13.1",
-      "resolved": "https://registry.npmjs.org/is-core-module/-/is-core-module-2.13.1.tgz",
-      "integrity": "sha512-hHrIjvZsftOsvKSn2TRYl63zvxsgE0K+0mYMoH6gD4omR5IWB2KynivBQczo3+wF1cCkjzvptnI9Q0sPU66ilw==",
-      "dependencies": {
-        "hasown": "^2.0.0"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/ljharb"
+    "node_modules/kleur": {
+      "version": "4.1.5",
+      "resolved": "https://registry.npmjs.org/kleur/-/kleur-4.1.5.tgz",
+      "integrity": "sha512-o+NO+8WrRiQEE4/7nwRJhN1HWpVmJm511pBHUxPLtp0BUISzlBplORYSmTclCnJvQq2tKu/sgl3xVpkc7ZWuQQ==",
+      "engines": {
+        "node": ">=6"
       }
     },
-    "node_modules/is-date-object": {
-      "version": "1.0.5",
-      "resolved": "https://registry.npmjs.org/is-date-object/-/is-date-object-1.0.5.tgz",
-      "integrity": "sha512-9YQaSxsAiSwcvS33MBk3wTCVnWK+HhF8VZR2jRxehM16QcVOdHqPn4VPHmRK4lSr38n9JriurInLcP90xsYNfQ==",
+    "node_modules/levn": {
+      "version": "0.4.1",
+      "resolved": "https://registry.npmjs.org/levn/-/levn-0.4.1.tgz",
+      "integrity": "sha512-+bT2uH4E5LGE7h/n3evcS/sQlJXCpIp6ym8OWJ5eV6+67Dsql/LaaT7qJBAt2rzfoa/5QBGBhxDix1dMt2kQKQ==",
       "dev": true,
       "dependencies": {
-        "has-tostringtag": "^1.0.0"
+        "prelude-ls": "^1.2.1",
+        "type-check": "~0.4.0"
       },
       "engines": {
-        "node": ">= 0.4"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/ljharb"
-      }
-    },
-    "node_modules/is-decimal": {
-      "version": "1.0.4",
-      "resolved": "https://registry.npmjs.org/is-decimal/-/is-decimal-1.0.4.tgz",
-      "integrity": "sha512-RGdriMmQQvZ2aqaQq3awNA6dCGtKpiDFcOzrTWrDAT2MiWrKQVPmxLGHl7Y2nNu6led0kEyoX0enY0qXYsv9zw==",
-      "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/wooorm"
+        "node": ">= 0.8.0"
       }
     },
-    "node_modules/is-extglob": {
-      "version": "2.1.1",
-      "resolved": "https://registry.npmjs.org/is-extglob/-/is-extglob-2.1.1.tgz",
-      "integrity": "sha512-SbKbANkN603Vi4jEZv49LeVJMn4yGwsbzZworEoyEiutsN3nJYdbO36zfhGJ6QEDpOZIFkDtnq5JRxmvl3jsoQ==",
+    "node_modules/lilconfig": {
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/lilconfig/-/lilconfig-2.1.0.tgz",
+      "integrity": "sha512-utWOt/GHzuUxnLKxB6dk81RoOeoNeHgbrXiuGk4yyF5qlRz+iIVWu56E2fqGHFrXz0QNUhLB/8nKqvRH66JKGQ==",
       "engines": {
-        "node": ">=0.10.0"
+        "node": ">=10"
       }
     },
-    "node_modules/is-fullwidth-code-point": {
-      "version": "3.0.0",
-      "resolved": "https://registry.npmjs.org/is-fullwidth-code-point/-/is-fullwidth-code-point-3.0.0.tgz",
-      "integrity": "sha512-zymm5+u+sCsSWyD9qNaejV3DFvhCKclKdizYaJUuHA83RLjb7nSuGnddCHGv0hk+KY7BMAlsWeK4Ueg6EV6XQg==",
-      "engines": {
-        "node": ">=8"
-      }
+    "node_modules/lines-and-columns": {
+      "version": "1.2.4",
+      "resolved": "https://registry.npmjs.org/lines-and-columns/-/lines-and-columns-1.2.4.tgz",
+      "integrity": "sha512-7ylylesZQ/PV29jhEDl3Ufjo6ZX7gCqJr5F7PKrqc93v7fzSymt1BpwEU8nAUXs8qzzvqhbjhK5QZg6Mt/HkBg=="
     },
-    "node_modules/is-glob": {
-      "version": "4.0.3",
-      "resolved": "https://registry.npmjs.org/is-glob/-/is-glob-4.0.3.tgz",
-      "integrity": "sha512-xelSayHH36ZgE7ZWhli7pW34hNbNl8Ojv5KVmkJD4hBdD3th8Tfk9vYasLM+mXWOZhFkgZfxhLSnrwRr4elSSg==",
+    "node_modules/locate-path": {
+      "version": "6.0.0",
+      "resolved": "https://registry.npmjs.org/locate-path/-/locate-path-6.0.0.tgz",
+      "integrity": "sha512-iPZK6eYjbxRu3uB4/WZ3EsEIMJFMqAoopl3R+zuq0UjcAm/MO6KCweDgPfP3elTztoKP3KtnVHxTn2NHBSDVUw==",
+      "dev": true,
       "dependencies": {
-        "is-extglob": "^2.1.1"
+        "p-locate": "^5.0.0"
       },
       "engines": {
-        "node": ">=0.10.0"
-      }
-    },
-    "node_modules/is-hexadecimal": {
-      "version": "1.0.4",
-      "resolved": "https://registry.npmjs.org/is-hexadecimal/-/is-hexadecimal-1.0.4.tgz",
-      "integrity": "sha512-gyPJuv83bHMpocVYoqof5VDiZveEoGoFL8m3BXNb2VW8Xs+rz9kqO8LOQ5DH6EsuvilT1ApazU0pyl+ytbPtlw==",
-      "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/wooorm"
-      }
-    },
-    "node_modules/is-interactive": {
-      "version": "2.0.0",
-      "resolved": "https://registry.npmjs.org/is-interactive/-/is-interactive-2.0.0.tgz",
-      "integrity": "sha512-qP1vozQRI+BMOPcjFzrjXuQvdak2pHNUMZoeG2eRbiSqyvbEf/wQtEOTOX1guk6E3t36RkaqiSt8A/6YElNxLQ==",
-      "engines": {
-        "node": ">=12"
+        "node": ">=10"
       },
       "funding": {
         "url": "https://github.com/sponsors/sindresorhus"
       }
     },
-    "node_modules/is-map": {
-      "version": "2.0.2",
-      "resolved": "https://registry.npmjs.org/is-map/-/is-map-2.0.2.tgz",
-      "integrity": "sha512-cOZFQQozTha1f4MxLFzlgKYPTyj26picdZTx82hbc/Xf4K/tZOOXSCkMvU4pKioRXGDLJRn0GM7Upe7kR721yg==",
-      "dev": true,
-      "funding": {
-        "url": "https://github.com/sponsors/ljharb"
+    "node_modules/lodash": {
+      "version": "4.17.21",
+      "resolved": "https://registry.npmjs.org/lodash/-/lodash-4.17.21.tgz",
+      "integrity": "sha512-v2kDEe57lecTulaDIuNTPy3Ry4gLGJ6Z1O3vE1krgXZNrsQ+LFTGHVxVjcXPs17LhbZVGedAJv8XZ1tvj5FvSg=="
+    },
+    "node_modules/lodash._reinterpolate": {
+      "version": "3.0.0",
+      "resolved": "https://registry.npmjs.org/lodash._reinterpolate/-/lodash._reinterpolate-3.0.0.tgz",
+      "integrity": "sha512-xYHt68QRoYGjeeM/XOE1uJtvXQAgvszfBhjV4yvsQH0u2i9I6cI6c6/eG4Hh3UAOVn0y/xAXwmTzEay49Q//HA=="
+    },
+    "node_modules/lodash.castarray": {
+      "version": "4.4.0",
+      "resolved": "https://registry.npmjs.org/lodash.castarray/-/lodash.castarray-4.4.0.tgz",
+      "integrity": "sha512-aVx8ztPv7/2ULbArGJ2Y42bG1mEQ5mGjpdvrbJcJFU3TbYybe+QlLS4pst9zV52ymy2in1KpFPiZnAOATxD4+Q==",
+      "dev": true
+    },
+    "node_modules/lodash.get": {
+      "version": "4.4.2",
+      "resolved": "https://registry.npmjs.org/lodash.get/-/lodash.get-4.4.2.tgz",
+      "integrity": "sha512-z+Uw/vLuy6gQe8cfaFWD7p0wVv8fJl3mbzXh33RS+0oW2wvUqiRXiQ69gLWSLpgB5/6sU+r6BlQR0MBILadqTQ=="
+    },
+    "node_modules/lodash.isequal": {
+      "version": "4.5.0",
+      "resolved": "https://registry.npmjs.org/lodash.isequal/-/lodash.isequal-4.5.0.tgz",
+      "integrity": "sha512-pDo3lu8Jhfjqls6GkMgpahsF9kCyayhgykjyLMNFTKWrpVdAQtYyB4muAMWozBB4ig/dtWAmsMxLEI8wuz+DYQ=="
+    },
+    "node_modules/lodash.isplainobject": {
+      "version": "4.0.6",
+      "resolved": "https://registry.npmjs.org/lodash.isplainobject/-/lodash.isplainobject-4.0.6.tgz",
+      "integrity": "sha512-oSXzaWypCMHkPC3NvBEaPHf0KsA5mvPrOPgQWDsbg8n7orZ290M0BmC/jgRZ4vcJ6DTAhjrsSYgdsW/F+MFOBA==",
+      "dev": true
+    },
+    "node_modules/lodash.merge": {
+      "version": "4.6.2",
+      "resolved": "https://registry.npmjs.org/lodash.merge/-/lodash.merge-4.6.2.tgz",
+      "integrity": "sha512-0KpjqXRVvrYyCsX1swR/XTK0va6VQkQM6MNo7PqW77ByjAhoARA8EfrP1N4+KlKj8YS0ZUCtRT/YUuhyYDujIQ==",
+      "dev": true
+    },
+    "node_modules/lodash.template": {
+      "version": "4.5.0",
+      "resolved": "https://registry.npmjs.org/lodash.template/-/lodash.template-4.5.0.tgz",
+      "integrity": "sha512-84vYFxIkmidUiFxidA/KjjH9pAycqW+h980j7Fuz5qxRtO9pgB7MDFTdys1N7A5mcucRiDyEq4fusljItR1T/A==",
+      "dependencies": {
+        "lodash._reinterpolate": "^3.0.0",
+        "lodash.templatesettings": "^4.0.0"
       }
     },
-    "node_modules/is-number": {
-      "version": "7.0.0",
-      "resolved": "https://registry.npmjs.org/is-number/-/is-number-7.0.0.tgz",
-      "integrity": "sha512-41Cifkg6e8TylSpdtTpeLVMqvSBEVzTttHvERD741+pnZ8ANv0004MRL43QKPDlK9cGvNp6NZWZUBlbGXYxxng==",
-      "engines": {
-        "node": ">=0.12.0"
+    "node_modules/lodash.templatesettings": {
+      "version": "4.2.0",
+      "resolved": "https://registry.npmjs.org/lodash.templatesettings/-/lodash.templatesettings-4.2.0.tgz",
+      "integrity": "sha512-stgLz+i3Aa9mZgnjr/O+v9ruKZsPsndy7qPZOchbqk2cnTU1ZaldKK+v7m54WoKIyxiuMZTKT2H81F8BeAc3ZQ==",
+      "dependencies": {
+        "lodash._reinterpolate": "^3.0.0"
       }
     },
-    "node_modules/is-number-object": {
-      "version": "1.0.7",
-      "resolved": "https://registry.npmjs.org/is-number-object/-/is-number-object-1.0.7.tgz",
-      "integrity": "sha512-k1U0IRzLMo7ZlYIfzRu23Oh6MiIFasgpb9X76eqfFZAqwH44UI4KTBvBYIZ1dSL9ZzChTB9ShHfLkR4pdW5krQ==",
-      "dev": true,
+    "node_modules/log-symbols": {
+      "version": "5.1.0",
+      "resolved": "https://registry.npmjs.org/log-symbols/-/log-symbols-5.1.0.tgz",
+      "integrity": "sha512-l0x2DvrW294C9uDCoQe1VSU4gf529FkSZ6leBl4TiqZH/e+0R7hSfHQBNut2mNygDgHwvYHfFLn6Oxb3VWj2rA==",
       "dependencies": {
-        "has-tostringtag": "^1.0.0"
+        "chalk": "^5.0.0",
+        "is-unicode-supported": "^1.1.0"
       },
       "engines": {
-        "node": ">= 0.4"
+        "node": ">=12"
       },
       "funding": {
-        "url": "https://github.com/sponsors/ljharb"
-      }
-    },
-    "node_modules/is-plain-obj": {
-      "version": "1.1.0",
-      "resolved": "https://registry.npmjs.org/is-plain-obj/-/is-plain-obj-1.1.0.tgz",
-      "integrity": "sha512-yvkRyxmFKEOQ4pNXCmJG5AEQNlXJS5LaONXo5/cLdTZdWvsZ1ioJEonLGAosKlMWE8lwUy/bJzMjcw8az73+Fg==",
-      "dev": true,
-      "engines": {
-        "node": ">=0.10.0"
+        "url": "https://github.com/sponsors/sindresorhus"
       }
     },
-    "node_modules/is-potential-custom-element-name": {
-      "version": "1.0.1",
-      "resolved": "https://registry.npmjs.org/is-potential-custom-element-name/-/is-potential-custom-element-name-1.0.1.tgz",
-      "integrity": "sha512-bCYeRA2rVibKZd+s2625gGnGF/t7DSqDs4dP7CrLA1m7jKWz6pps0LpYLJN8Q64HtmPKJ1hrN3nzPNKFEKOUiQ=="
-    },
-    "node_modules/is-regex": {
-      "version": "1.1.4",
-      "resolved": "https://registry.npmjs.org/is-regex/-/is-regex-1.1.4.tgz",
-      "integrity": "sha512-kvRdxDsxZjhzUX07ZnLydzS1TU/TJlTUHHY4YLL87e37oUA49DfkLqgy+VjFocowy29cKvcSiu+kIv728jTTVg==",
-      "dev": true,
-      "dependencies": {
-        "call-bind": "^1.0.2",
-        "has-tostringtag": "^1.0.0"
-      },
+    "node_modules/log-symbols/node_modules/chalk": {
+      "version": "5.3.0",
+      "resolved": "https://registry.npmjs.org/chalk/-/chalk-5.3.0.tgz",
+      "integrity": "sha512-dLitG79d+GV1Nb/VYcCDFivJeK1hiukt9QjRNVOsUtTy1rR1YJsmpGGTZ3qJos+uw7WmWF4wUwBd9jxjocFC2w==",
       "engines": {
-        "node": ">= 0.4"
+        "node": "^12.17.0 || ^14.13 || >=16.0.0"
       },
       "funding": {
-        "url": "https://github.com/sponsors/ljharb"
+        "url": "https://github.com/chalk/chalk?sponsor=1"
       }
     },
-    "node_modules/is-set": {
-      "version": "2.0.2",
-      "resolved": "https://registry.npmjs.org/is-set/-/is-set-2.0.2.tgz",
-      "integrity": "sha512-+2cnTEZeY5z/iXGbLhPrOAaK/Mau5k5eXq9j14CpRTftq0pAJu2MwVRSZhyZWBzx3o6X795Lz6Bpb6R0GKf37g==",
-      "dev": true,
+    "node_modules/longest-streak": {
+      "version": "3.1.0",
+      "resolved": "https://registry.npmjs.org/longest-streak/-/longest-streak-3.1.0.tgz",
+      "integrity": "sha512-9Ri+o0JYgehTaVBBDoMqIl8GXtbWg711O3srftcHhZ0dqnETqLaoIK0x17fUw9rFSlK/0NlsKe0Ahhyl5pXE2g==",
       "funding": {
-        "url": "https://github.com/sponsors/ljharb"
+        "type": "github",
+        "url": "https://github.com/sponsors/wooorm"
       }
     },
-    "node_modules/is-shared-array-buffer": {
-      "version": "1.0.2",
-      "resolved": "https://registry.npmjs.org/is-shared-array-buffer/-/is-shared-array-buffer-1.0.2.tgz",
-      "integrity": "sha512-sqN2UDu1/0y6uvXyStCOzyhAjCSlHceFoMKJW8W9EU9cvic/QdsZ0kEU93HEy3IUEFZIiH/3w+AH/UQbPHNdhA==",
-      "dev": true,
+    "node_modules/loose-envify": {
+      "version": "1.4.0",
+      "resolved": "https://registry.npmjs.org/loose-envify/-/loose-envify-1.4.0.tgz",
+      "integrity": "sha512-lyuxPGr/Wfhrlem2CL/UcnUc1zcqKAImBDzukY7Y5F/yQiNdko6+fRLevlw1HgMySw7f611UIY408EtxRSoK3Q==",
       "dependencies": {
-        "call-bind": "^1.0.2"
+        "js-tokens": "^3.0.0 || ^4.0.0"
       },
-      "funding": {
-        "url": "https://github.com/sponsors/ljharb"
+      "bin": {
+        "loose-envify": "cli.js"
       }
     },
-    "node_modules/is-stream": {
-      "version": "1.1.0",
-      "resolved": "https://registry.npmjs.org/is-stream/-/is-stream-1.1.0.tgz",
-      "integrity": "sha512-uQPm8kcs47jx38atAcWTVxyltQYoPT68y9aWYdV6yWXSyW8mzSat0TL6CiWdZeCdF3KrAvpVtnHbTv4RN+rqdQ==",
+    "node_modules/lower-case": {
+      "version": "2.0.2",
+      "resolved": "https://registry.npmjs.org/lower-case/-/lower-case-2.0.2.tgz",
+      "integrity": "sha512-7fm3l3NAF9WfN6W3JOmf5drwpVqX78JtoGJ3A6W0a6ZnldM41w2fV5D490psKFTpMds8TJse/eHLFFsNHHjHgg==",
+      "dependencies": {
+        "tslib": "^2.0.3"
+      }
+    },
+    "node_modules/lowercase-keys": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/lowercase-keys/-/lowercase-keys-2.0.0.tgz",
+      "integrity": "sha512-tqNXrS78oMOE73NMxK4EMLQsQowWf8jKooH9g7xPavRT706R6bkQJ6DY2Te7QukaZsulxa30wQ7bk0pm4XiHmA==",
       "dev": true,
       "engines": {
-        "node": ">=0.10.0"
+        "node": ">=8"
       }
     },
-    "node_modules/is-string": {
-      "version": "1.0.7",
-      "resolved": "https://registry.npmjs.org/is-string/-/is-string-1.0.7.tgz",
-      "integrity": "sha512-tE2UXzivje6ofPW7l23cjDOMa09gb7xlAqG6jG5ej6uPV32TlWP3NKPigtaGeHNu9fohccRYvIiZMfOOnOYUtg==",
-      "dev": true,
+    "node_modules/lowlight": {
+      "version": "1.20.0",
+      "resolved": "https://registry.npmjs.org/lowlight/-/lowlight-1.20.0.tgz",
+      "integrity": "sha512-8Ktj+prEb1RoCPkEOrPMYUN/nCggB7qAWe3a7OpMjWQkh3l2RD5wKRQ+o8Q8YuI9RG/xs95waaI/E6ym/7NsTw==",
       "dependencies": {
-        "has-tostringtag": "^1.0.0"
-      },
-      "engines": {
-        "node": ">= 0.4"
+        "fault": "^1.0.0",
+        "highlight.js": "~10.7.0"
       },
       "funding": {
-        "url": "https://github.com/sponsors/ljharb"
+        "type": "github",
+        "url": "https://github.com/sponsors/wooorm"
       }
     },
-    "node_modules/is-symbol": {
-      "version": "1.0.4",
-      "resolved": "https://registry.npmjs.org/is-symbol/-/is-symbol-1.0.4.tgz",
-      "integrity": "sha512-C/CPBqKWnvdcxqIARxyOh4v1UUEOCHpgDa0WYgpKDFMszcrPcffg5uhwSgPCLD2WWxmq6isisz87tzT01tuGhg==",
-      "dev": true,
+    "node_modules/lru-cache": {
+      "version": "5.1.1",
+      "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-5.1.1.tgz",
+      "integrity": "sha512-KpNARQA3Iwv+jTA0utUVVbrh+Jlrr1Fv0e56GGzAFOXN7dk/FviaDW8LHmK52DlcH4WP2n6gI8vN1aesBFgo9w==",
       "dependencies": {
-        "has-symbols": "^1.0.2"
-      },
-      "engines": {
-        "node": ">= 0.4"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/ljharb"
+        "yallist": "^3.0.2"
       }
     },
-    "node_modules/is-unicode-supported": {
-      "version": "1.3.0",
-      "resolved": "https://registry.npmjs.org/is-unicode-supported/-/is-unicode-supported-1.3.0.tgz",
-      "integrity": "sha512-43r2mRvz+8JRIKnWJ+3j8JtjRKZ6GmjzfaE/qiBJnikNnYv/6bagRJ1kUhNk8R5EX/GkobD+r+sfxCPJsiKBLQ==",
-      "engines": {
-        "node": ">=12"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/sindresorhus"
+    "node_modules/lucide-react": {
+      "version": "0.395.0",
+      "resolved": "https://registry.npmjs.org/lucide-react/-/lucide-react-0.395.0.tgz",
+      "integrity": "sha512-6hzdNH5723A4FLaYZWpK50iyZH8iS2Jq5zuPRRotOFkhu6kxxJiebVdJ72tCR5XkiIeYFOU5NUawFZOac+VeYw==",
+      "peerDependencies": {
+        "react": "^16.5.1 || ^17.0.0 || ^18.0.0"
       }
     },
-    "node_modules/is-weakmap": {
-      "version": "2.0.1",
-      "resolved": "https://registry.npmjs.org/is-weakmap/-/is-weakmap-2.0.1.tgz",
-      "integrity": "sha512-NSBR4kH5oVj1Uwvv970ruUkCV7O1mzgVFO4/rev2cLRda9Tm9HrL70ZPut4rOHgY0FNrUu9BCbXA2sdQ+x0chA==",
+    "node_modules/lz-string": {
+      "version": "1.5.0",
+      "resolved": "https://registry.npmjs.org/lz-string/-/lz-string-1.5.0.tgz",
+      "integrity": "sha512-h5bgJWpxJNswbU7qCrV0tIKQCaS3blPDrqKWx+QxzuzL1zGUzij9XCWLrSLsJPu5t+eWA/ycetzYAO5IOMcWAQ==",
       "dev": true,
-      "funding": {
-        "url": "https://github.com/sponsors/ljharb"
+      "peer": true,
+      "bin": {
+        "lz-string": "bin/bin.js"
       }
     },
-    "node_modules/is-weakset": {
-      "version": "2.0.2",
-      "resolved": "https://registry.npmjs.org/is-weakset/-/is-weakset-2.0.2.tgz",
-      "integrity": "sha512-t2yVvttHkQktwnNNmBQ98AhENLdPUTDTE21uPqAQ0ARwQfGeQKRVS0NNurH7bTf7RrvcVn1OOge45CnBeHCSmg==",
-      "dev": true,
-      "dependencies": {
-        "call-bind": "^1.0.2",
-        "get-intrinsic": "^1.1.1"
-      },
+    "node_modules/make-cancellable-promise": {
+      "version": "1.3.2",
+      "resolved": "https://registry.npmjs.org/make-cancellable-promise/-/make-cancellable-promise-1.3.2.tgz",
+      "integrity": "sha512-GCXh3bq/WuMbS+Ky4JBPW1hYTOU+znU+Q5m9Pu+pI8EoUqIHk9+tviOKC6/qhHh8C4/As3tzJ69IF32kdz85ww==",
       "funding": {
-        "url": "https://github.com/sponsors/ljharb"
+        "url": "https://github.com/wojtekmaj/make-cancellable-promise?sponsor=1"
       }
     },
-    "node_modules/isarray": {
-      "version": "2.0.5",
-      "resolved": "https://registry.npmjs.org/isarray/-/isarray-2.0.5.tgz",
-      "integrity": "sha512-xHjhDr3cNBK0BzdUJSPXZntQUx/mwMS5Rw4A7lPJ90XGAO6ISP/ePDNuo0vhqOZU+UD5JoodwCAAoZQd3FeAKw==",
-      "dev": true
-    },
-    "node_modules/isexe": {
-      "version": "2.0.0",
-      "resolved": "https://registry.npmjs.org/isexe/-/isexe-2.0.0.tgz",
-      "integrity": "sha512-RHxMLp9lnKHGHRng9QFhRCMbYAcVpn69smSGcq3f36xjgVVWThj4qqLbTLlq7Ssj8B+fIQ1EuCEGI2lKsyQeIw=="
-    },
-    "node_modules/jackspeak": {
-      "version": "2.3.6",
-      "resolved": "https://registry.npmjs.org/jackspeak/-/jackspeak-2.3.6.tgz",
-      "integrity": "sha512-N3yCS/NegsOBokc8GAdM8UcmfsKiSS8cipheD/nivzr700H+nsMOxJjQnvwOcRYVuFkdH0wGUvW2WbXGmrZGbQ==",
+    "node_modules/make-dir": {
+      "version": "3.1.0",
+      "resolved": "https://registry.npmjs.org/make-dir/-/make-dir-3.1.0.tgz",
+      "integrity": "sha512-g3FeP20LNwhALb/6Cz6Dd4F2ngze0jz7tbzrD2wAV+o9FeNHe4rL+yK2md0J/fiSf1sa1ADhXqi5+oVwOM/eGw==",
+      "optional": true,
       "dependencies": {
-        "@isaacs/cliui": "^8.0.2"
+        "semver": "^6.0.0"
       },
       "engines": {
-        "node": ">=14"
+        "node": ">=8"
       },
       "funding": {
-        "url": "https://github.com/sponsors/isaacs"
-      },
-      "optionalDependencies": {
-        "@pkgjs/parseargs": "^0.11.0"
+        "url": "https://github.com/sponsors/sindresorhus"
       }
     },
-    "node_modules/jest-diff": {
-      "version": "27.5.1",
-      "resolved": "https://registry.npmjs.org/jest-diff/-/jest-diff-27.5.1.tgz",
-      "integrity": "sha512-m0NvkX55LDt9T4mctTEgnZk3fmEg3NRYutvMPWM/0iPnkFj2wIeF45O1718cMSOFO1vINkqmxqD8vE37uTEbqw==",
-      "dev": true,
-      "dependencies": {
-        "chalk": "^4.0.0",
-        "diff-sequences": "^27.5.1",
-        "jest-get-type": "^27.5.1",
-        "pretty-format": "^27.5.1"
-      },
-      "engines": {
-        "node": "^10.13.0 || ^12.13.0 || ^14.15.0 || >=15.0.0"
+    "node_modules/make-event-props": {
+      "version": "1.6.2",
+      "resolved": "https://registry.npmjs.org/make-event-props/-/make-event-props-1.6.2.tgz",
+      "integrity": "sha512-iDwf7mA03WPiR8QxvcVHmVWEPfMY1RZXerDVNCRYW7dUr2ppH3J58Rwb39/WG39yTZdRSxr3x+2v22tvI0VEvA==",
+      "funding": {
+        "url": "https://github.com/wojtekmaj/make-event-props?sponsor=1"
       }
     },
-    "node_modules/jest-get-type": {
-      "version": "27.5.1",
-      "resolved": "https://registry.npmjs.org/jest-get-type/-/jest-get-type-27.5.1.tgz",
-      "integrity": "sha512-2KY95ksYSaK7DMBWQn6dQz3kqAf3BB64y2udeG+hv4KfSOb9qwcYQstTJc1KCbsix+wLZWZYN8t7nwX3GOBLRw==",
-      "dev": true,
-      "engines": {
-        "node": "^10.13.0 || ^12.13.0 || ^14.15.0 || >=15.0.0"
+    "node_modules/markdown-table": {
+      "version": "3.0.3",
+      "resolved": "https://registry.npmjs.org/markdown-table/-/markdown-table-3.0.3.tgz",
+      "integrity": "sha512-Z1NL3Tb1M9wH4XESsCDEksWoKTdlUafKc4pt0GRwjUyXaCFZ+dc3g2erqB6zm3szA2IUSi7VnPI+o/9jnxh9hw==",
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/wooorm"
       }
     },
-    "node_modules/jest-matcher-utils": {
-      "version": "27.5.1",
-      "resolved": "https://registry.npmjs.org/jest-matcher-utils/-/jest-matcher-utils-27.5.1.tgz",
-      "integrity": "sha512-z2uTx/T6LBaCoNWNFWwChLBKYxTMcGBRjAt+2SbP929/Fflb9aa5LGma654Rz8z9HLxsrUaYzxE9T/EFIL/PAw==",
-      "dev": true,
+    "node_modules/mathjax-full": {
+      "version": "3.2.2",
+      "resolved": "https://registry.npmjs.org/mathjax-full/-/mathjax-full-3.2.2.tgz",
+      "integrity": "sha512-+LfG9Fik+OuI8SLwsiR02IVdjcnRCy5MufYLi0C3TdMT56L/pjB0alMVGgoWJF8pN9Rc7FESycZB9BMNWIid5w==",
       "dependencies": {
-        "chalk": "^4.0.0",
-        "jest-diff": "^27.5.1",
-        "jest-get-type": "^27.5.1",
-        "pretty-format": "^27.5.1"
-      },
-      "engines": {
-        "node": "^10.13.0 || ^12.13.0 || ^14.15.0 || >=15.0.0"
-      }
-    },
-    "node_modules/jiti": {
-      "version": "1.21.0",
-      "resolved": "https://registry.npmjs.org/jiti/-/jiti-1.21.0.tgz",
-      "integrity": "sha512-gFqAIbuKyyso/3G2qhiO2OM6shY6EPP/R0+mkDbyspxKazh8BXDC5FiFsUjlczgdNz/vfra0da2y+aHrusLG/Q==",
-      "bin": {
-        "jiti": "bin/jiti.js"
+        "esm": "^3.2.25",
+        "mhchemparser": "^4.1.0",
+        "mj-context-menu": "^0.6.1",
+        "speech-rule-engine": "^4.0.6"
       }
     },
-    "node_modules/js-tokens": {
-      "version": "4.0.0",
-      "resolved": "https://registry.npmjs.org/js-tokens/-/js-tokens-4.0.0.tgz",
-      "integrity": "sha512-RdJUflcE3cUzKiMqQgsCu06FPu9UdIJO0beYbPhHN4k6apgJtifcoCtT9bcxOpYBtpD2kCM6Sbzg4CausW/PKQ=="
-    },
-    "node_modules/js-yaml": {
-      "version": "4.1.0",
-      "resolved": "https://registry.npmjs.org/js-yaml/-/js-yaml-4.1.0.tgz",
-      "integrity": "sha512-wpxZs9NoxZaJESJGIZTyDEaYpl0FKSA+FB9aJiyemKhMwkxQg63h4T1KJgUGHpTqPDNRcmmYLugrRjJlBtWvRA==",
+    "node_modules/mdast-util-definitions": {
+      "version": "5.1.2",
+      "resolved": "https://registry.npmjs.org/mdast-util-definitions/-/mdast-util-definitions-5.1.2.tgz",
+      "integrity": "sha512-8SVPMuHqlPME/z3gqVwWY4zVXn8lqKv/pAhC57FuJ40ImXyBpmO5ukh98zB2v7Blql2FiHjHv9LVztSIqjY+MA==",
       "dependencies": {
-        "argparse": "^2.0.1"
+        "@types/mdast": "^3.0.0",
+        "@types/unist": "^2.0.0",
+        "unist-util-visit": "^4.0.0"
       },
-      "bin": {
-        "js-yaml": "bin/js-yaml.js"
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
       }
     },
-    "node_modules/jsdom": {
-      "version": "20.0.3",
-      "resolved": "https://registry.npmjs.org/jsdom/-/jsdom-20.0.3.tgz",
-      "integrity": "sha512-SYhBvTh89tTfCD/CRdSOm13mOBa42iTaTyfyEWBdKcGdPxPtLFBXuHR8XHb33YNYaP+lLbmSvBTsnoesCNJEsQ==",
+    "node_modules/mdast-util-find-and-replace": {
+      "version": "2.2.2",
+      "resolved": "https://registry.npmjs.org/mdast-util-find-and-replace/-/mdast-util-find-and-replace-2.2.2.tgz",
+      "integrity": "sha512-MTtdFRz/eMDHXzeK6W3dO7mXUlF82Gom4y0oOgvHhh/HXZAGvIQDUvQ0SuUx+j2tv44b8xTHOm8K/9OoRFnXKw==",
       "dependencies": {
-        "abab": "^2.0.6",
-        "acorn": "^8.8.1",
-        "acorn-globals": "^7.0.0",
-        "cssom": "^0.5.0",
-        "cssstyle": "^2.3.0",
-        "data-urls": "^3.0.2",
-        "decimal.js": "^10.4.2",
-        "domexception": "^4.0.0",
-        "escodegen": "^2.0.0",
-        "form-data": "^4.0.0",
-        "html-encoding-sniffer": "^3.0.0",
-        "http-proxy-agent": "^5.0.0",
-        "https-proxy-agent": "^5.0.1",
-        "is-potential-custom-element-name": "^1.0.1",
-        "nwsapi": "^2.2.2",
-        "parse5": "^7.1.1",
-        "saxes": "^6.0.0",
-        "symbol-tree": "^3.2.4",
-        "tough-cookie": "^4.1.2",
-        "w3c-xmlserializer": "^4.0.0",
-        "webidl-conversions": "^7.0.0",
-        "whatwg-encoding": "^2.0.0",
-        "whatwg-mimetype": "^3.0.0",
-        "whatwg-url": "^11.0.0",
-        "ws": "^8.11.0",
-        "xml-name-validator": "^4.0.0"
-      },
-      "engines": {
-        "node": ">=14"
-      },
-      "peerDependencies": {
-        "canvas": "^2.5.0"
+        "@types/mdast": "^3.0.0",
+        "escape-string-regexp": "^5.0.0",
+        "unist-util-is": "^5.0.0",
+        "unist-util-visit-parents": "^5.0.0"
       },
-      "peerDependenciesMeta": {
-        "canvas": {
-          "optional": true
-        }
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
       }
     },
-    "node_modules/jsesc": {
-      "version": "2.5.2",
-      "resolved": "https://registry.npmjs.org/jsesc/-/jsesc-2.5.2.tgz",
-      "integrity": "sha512-OYu7XEzjkCQ3C5Ps3QIZsQfNpqoJyZZA99wd9aWd05NCtC5pWOkShK2mkL6HXQR6/Cy2lbNdPlZBpuQHXE63gA==",
-      "bin": {
-        "jsesc": "bin/jsesc"
-      },
+    "node_modules/mdast-util-find-and-replace/node_modules/escape-string-regexp": {
+      "version": "5.0.0",
+      "resolved": "https://registry.npmjs.org/escape-string-regexp/-/escape-string-regexp-5.0.0.tgz",
+      "integrity": "sha512-/veY75JbMK4j1yjvuUxuVsiS/hr/4iHs9FTT6cgTexxdE0Ly/glccBAkloH/DofkjRbZU3bnoj38mOmhkZ0lHw==",
       "engines": {
-        "node": ">=4"
+        "node": ">=12"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
       }
     },
-    "node_modules/json-buffer": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/json-buffer/-/json-buffer-3.0.1.tgz",
-      "integrity": "sha512-4bV5BfR2mqfQTJm+V5tPPdf+ZpuhiIvTuAB5g8kcrXOZpTT/QwwVRWBywX1ozr6lEuPdbHxwaJlm9G6mI2sfSQ==",
-      "dev": true
-    },
-    "node_modules/json-parse-even-better-errors": {
-      "version": "2.3.1",
-      "resolved": "https://registry.npmjs.org/json-parse-even-better-errors/-/json-parse-even-better-errors-2.3.1.tgz",
-      "integrity": "sha512-xyFwyhro/JEof6Ghe2iz2NcXoj2sloNsWr/XsERDK/oiPCfaNhl5ONfp+jQdAZRQQ0IJWNzH9zIZF7li91kh2w=="
-    },
-    "node_modules/json-schema-traverse": {
-      "version": "1.0.0",
-      "resolved": "https://registry.npmjs.org/json-schema-traverse/-/json-schema-traverse-1.0.0.tgz",
-      "integrity": "sha512-NM8/P9n3XjXhIZn1lLhkFaACTOURQXjWhV4BA/RnOv8xvgqtqpAX9IO4mRQxSx1Rlo4tqzeqb0sOlruaOy3dug=="
-    },
-    "node_modules/json5": {
-      "version": "2.2.3",
-      "resolved": "https://registry.npmjs.org/json5/-/json5-2.2.3.tgz",
-      "integrity": "sha512-XmOWe7eyHYH14cLdVPoyg+GOH3rYX++KpzrylJwSW98t3Nk+U8XOl8FWKOgwtzdb8lXGf6zYwDUzeHMWfxasyg==",
-      "bin": {
-        "json5": "lib/cli.js"
+    "node_modules/mdast-util-from-markdown": {
+      "version": "1.3.1",
+      "resolved": "https://registry.npmjs.org/mdast-util-from-markdown/-/mdast-util-from-markdown-1.3.1.tgz",
+      "integrity": "sha512-4xTO/M8c82qBcnQc1tgpNtubGUW/Y1tBQ1B0i5CtSoelOLKFYlElIr3bvgREYYO5iRqbMY1YuqZng0GVOI8Qww==",
+      "dependencies": {
+        "@types/mdast": "^3.0.0",
+        "@types/unist": "^2.0.0",
+        "decode-named-character-reference": "^1.0.0",
+        "mdast-util-to-string": "^3.1.0",
+        "micromark": "^3.0.0",
+        "micromark-util-decode-numeric-character-reference": "^1.0.0",
+        "micromark-util-decode-string": "^1.0.0",
+        "micromark-util-normalize-identifier": "^1.0.0",
+        "micromark-util-symbol": "^1.0.0",
+        "micromark-util-types": "^1.0.0",
+        "unist-util-stringify-position": "^3.0.0",
+        "uvu": "^0.5.0"
       },
-      "engines": {
-        "node": ">=6"
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
       }
     },
-    "node_modules/jsonfile": {
-      "version": "6.1.0",
-      "resolved": "https://registry.npmjs.org/jsonfile/-/jsonfile-6.1.0.tgz",
-      "integrity": "sha512-5dgndWOriYSm5cnYaJNhalLNDKOqFwyDB/rr1E9ZsGciGvKPs8R2xYGCacuf3z6K1YKDz182fd+fY3cn3pMqXQ==",
+    "node_modules/mdast-util-gfm": {
+      "version": "2.0.2",
+      "resolved": "https://registry.npmjs.org/mdast-util-gfm/-/mdast-util-gfm-2.0.2.tgz",
+      "integrity": "sha512-qvZ608nBppZ4icQlhQQIAdc6S3Ffj9RGmzwUKUWuEICFnd1LVkN3EktF7ZHAgfcEdvZB5owU9tQgt99e2TlLjg==",
       "dependencies": {
-        "universalify": "^2.0.0"
+        "mdast-util-from-markdown": "^1.0.0",
+        "mdast-util-gfm-autolink-literal": "^1.0.0",
+        "mdast-util-gfm-footnote": "^1.0.0",
+        "mdast-util-gfm-strikethrough": "^1.0.0",
+        "mdast-util-gfm-table": "^1.0.0",
+        "mdast-util-gfm-task-list-item": "^1.0.0",
+        "mdast-util-to-markdown": "^1.0.0"
       },
-      "optionalDependencies": {
-        "graceful-fs": "^4.1.6"
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
       }
     },
-    "node_modules/katex": {
-      "version": "0.16.9",
-      "resolved": "https://registry.npmjs.org/katex/-/katex-0.16.9.tgz",
-      "integrity": "sha512-fsSYjWS0EEOwvy81j3vRA8TEAhQhKiqO+FQaKWp0m39qwOzHVBgAUBIXWj1pB+O2W3fIpNa6Y9KSKCVbfPhyAQ==",
-      "funding": [
-        "https://opencollective.com/katex",
-        "https://github.com/sponsors/katex"
-      ],
+    "node_modules/mdast-util-gfm-autolink-literal": {
+      "version": "1.0.3",
+      "resolved": "https://registry.npmjs.org/mdast-util-gfm-autolink-literal/-/mdast-util-gfm-autolink-literal-1.0.3.tgz",
+      "integrity": "sha512-My8KJ57FYEy2W2LyNom4n3E7hKTuQk/0SES0u16tjA9Z3oFkF4RrC/hPAPgjlSpezsOvI8ObcXcElo92wn5IGA==",
       "dependencies": {
-        "commander": "^8.3.0"
+        "@types/mdast": "^3.0.0",
+        "ccount": "^2.0.0",
+        "mdast-util-find-and-replace": "^2.0.0",
+        "micromark-util-character": "^1.0.0"
       },
-      "bin": {
-        "katex": "cli.js"
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
       }
     },
-    "node_modules/katex/node_modules/commander": {
-      "version": "8.3.0",
-      "resolved": "https://registry.npmjs.org/commander/-/commander-8.3.0.tgz",
-      "integrity": "sha512-OkTL9umf+He2DZkUq8f8J9of7yL6RJKI24dVITBmNfZBmri9zYZQrKkuXiKhyfPSu8tUhnVBB1iKXevvnlR4Ww==",
-      "engines": {
-        "node": ">= 12"
+    "node_modules/mdast-util-gfm-footnote": {
+      "version": "1.0.2",
+      "resolved": "https://registry.npmjs.org/mdast-util-gfm-footnote/-/mdast-util-gfm-footnote-1.0.2.tgz",
+      "integrity": "sha512-56D19KOGbE00uKVj3sgIykpwKL179QsVFwx/DCW0u/0+URsryacI4MAdNJl0dh+u2PSsD9FtxPFbHCzJ78qJFQ==",
+      "dependencies": {
+        "@types/mdast": "^3.0.0",
+        "mdast-util-to-markdown": "^1.3.0",
+        "micromark-util-normalize-identifier": "^1.0.0"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
       }
     },
-    "node_modules/keyv": {
-      "version": "4.5.4",
-      "resolved": "https://registry.npmjs.org/keyv/-/keyv-4.5.4.tgz",
-      "integrity": "sha512-oxVHkHR/EJf2CNXnWxRLW6mg7JyCCUcG0DtEGmL2ctUo1PNTin1PUil+r/+4r5MpVgC/fn1kjsx7mjSujKqIpw==",
-      "dev": true,
+    "node_modules/mdast-util-gfm-strikethrough": {
+      "version": "1.0.3",
+      "resolved": "https://registry.npmjs.org/mdast-util-gfm-strikethrough/-/mdast-util-gfm-strikethrough-1.0.3.tgz",
+      "integrity": "sha512-DAPhYzTYrRcXdMjUtUjKvW9z/FNAMTdU0ORyMcbmkwYNbKocDpdk+PX1L1dQgOID/+vVs1uBQ7ElrBQfZ0cuiQ==",
       "dependencies": {
-        "json-buffer": "3.0.1"
+        "@types/mdast": "^3.0.0",
+        "mdast-util-to-markdown": "^1.3.0"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
       }
     },
-    "node_modules/kleur": {
-      "version": "3.0.3",
-      "resolved": "https://registry.npmjs.org/kleur/-/kleur-3.0.3.tgz",
-      "integrity": "sha512-eTIzlVOSUR+JxdDFepEYcBMtZ9Qqdef+rnzWdRZuMbOywu5tO2w2N7rqjoANZ5k9vywhL6Br1VRjUIgTQx4E8w==",
-      "engines": {
-        "node": ">=6"
+    "node_modules/mdast-util-gfm-table": {
+      "version": "1.0.7",
+      "resolved": "https://registry.npmjs.org/mdast-util-gfm-table/-/mdast-util-gfm-table-1.0.7.tgz",
+      "integrity": "sha512-jjcpmNnQvrmN5Vx7y7lEc2iIOEytYv7rTvu+MeyAsSHTASGCCRA79Igg2uKssgOs1i1po8s3plW0sTu1wkkLGg==",
+      "dependencies": {
+        "@types/mdast": "^3.0.0",
+        "markdown-table": "^3.0.0",
+        "mdast-util-from-markdown": "^1.0.0",
+        "mdast-util-to-markdown": "^1.3.0"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
       }
     },
-    "node_modules/lilconfig": {
-      "version": "2.1.0",
-      "resolved": "https://registry.npmjs.org/lilconfig/-/lilconfig-2.1.0.tgz",
-      "integrity": "sha512-utWOt/GHzuUxnLKxB6dk81RoOeoNeHgbrXiuGk4yyF5qlRz+iIVWu56E2fqGHFrXz0QNUhLB/8nKqvRH66JKGQ==",
-      "engines": {
-        "node": ">=10"
+    "node_modules/mdast-util-gfm-task-list-item": {
+      "version": "1.0.2",
+      "resolved": "https://registry.npmjs.org/mdast-util-gfm-task-list-item/-/mdast-util-gfm-task-list-item-1.0.2.tgz",
+      "integrity": "sha512-PFTA1gzfp1B1UaiJVyhJZA1rm0+Tzn690frc/L8vNX1Jop4STZgOE6bxUhnzdVSB+vm2GU1tIsuQcA9bxTQpMQ==",
+      "dependencies": {
+        "@types/mdast": "^3.0.0",
+        "mdast-util-to-markdown": "^1.3.0"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
       }
     },
-    "node_modules/lines-and-columns": {
-      "version": "1.2.4",
-      "resolved": "https://registry.npmjs.org/lines-and-columns/-/lines-and-columns-1.2.4.tgz",
-      "integrity": "sha512-7ylylesZQ/PV29jhEDl3Ufjo6ZX7gCqJr5F7PKrqc93v7fzSymt1BpwEU8nAUXs8qzzvqhbjhK5QZg6Mt/HkBg=="
-    },
-    "node_modules/locate-path": {
-      "version": "5.0.0",
-      "resolved": "https://registry.npmjs.org/locate-path/-/locate-path-5.0.0.tgz",
-      "integrity": "sha512-t7hw9pI+WvuwNJXwk5zVHpyhIqzg2qTlklJOf0mVxGSbe3Fp2VieZcduNYjaLDoy6p9uGpQEGWG87WpMKlNq8g==",
-      "dev": true,
+    "node_modules/mdast-util-math": {
+      "version": "3.0.0",
+      "resolved": "https://registry.npmjs.org/mdast-util-math/-/mdast-util-math-3.0.0.tgz",
+      "integrity": "sha512-Tl9GBNeG/AhJnQM221bJR2HPvLOSnLE/T9cJI9tlc6zwQk2nPk/4f0cHkOdEixQPC/j8UtKDdITswvLAy1OZ1w==",
       "dependencies": {
-        "p-locate": "^4.1.0"
+        "@types/hast": "^3.0.0",
+        "@types/mdast": "^4.0.0",
+        "devlop": "^1.0.0",
+        "longest-streak": "^3.0.0",
+        "mdast-util-from-markdown": "^2.0.0",
+        "mdast-util-to-markdown": "^2.1.0",
+        "unist-util-remove-position": "^5.0.0"
       },
-      "engines": {
-        "node": ">=8"
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
       }
     },
-    "node_modules/lodash": {
-      "version": "4.17.21",
-      "resolved": "https://registry.npmjs.org/lodash/-/lodash-4.17.21.tgz",
-      "integrity": "sha512-v2kDEe57lecTulaDIuNTPy3Ry4gLGJ6Z1O3vE1krgXZNrsQ+LFTGHVxVjcXPs17LhbZVGedAJv8XZ1tvj5FvSg=="
-    },
-    "node_modules/lodash.castarray": {
-      "version": "4.4.0",
-      "resolved": "https://registry.npmjs.org/lodash.castarray/-/lodash.castarray-4.4.0.tgz",
-      "integrity": "sha512-aVx8ztPv7/2ULbArGJ2Y42bG1mEQ5mGjpdvrbJcJFU3TbYybe+QlLS4pst9zV52ymy2in1KpFPiZnAOATxD4+Q==",
-      "dev": true
-    },
-    "node_modules/lodash.get": {
-      "version": "4.4.2",
-      "resolved": "https://registry.npmjs.org/lodash.get/-/lodash.get-4.4.2.tgz",
-      "integrity": "sha512-z+Uw/vLuy6gQe8cfaFWD7p0wVv8fJl3mbzXh33RS+0oW2wvUqiRXiQ69gLWSLpgB5/6sU+r6BlQR0MBILadqTQ=="
-    },
-    "node_modules/lodash.isequal": {
-      "version": "4.5.0",
-      "resolved": "https://registry.npmjs.org/lodash.isequal/-/lodash.isequal-4.5.0.tgz",
-      "integrity": "sha512-pDo3lu8Jhfjqls6GkMgpahsF9kCyayhgykjyLMNFTKWrpVdAQtYyB4muAMWozBB4ig/dtWAmsMxLEI8wuz+DYQ=="
-    },
-    "node_modules/lodash.isplainobject": {
-      "version": "4.0.6",
-      "resolved": "https://registry.npmjs.org/lodash.isplainobject/-/lodash.isplainobject-4.0.6.tgz",
-      "integrity": "sha512-oSXzaWypCMHkPC3NvBEaPHf0KsA5mvPrOPgQWDsbg8n7orZ290M0BmC/jgRZ4vcJ6DTAhjrsSYgdsW/F+MFOBA==",
-      "dev": true
-    },
-    "node_modules/lodash.merge": {
-      "version": "4.6.2",
-      "resolved": "https://registry.npmjs.org/lodash.merge/-/lodash.merge-4.6.2.tgz",
-      "integrity": "sha512-0KpjqXRVvrYyCsX1swR/XTK0va6VQkQM6MNo7PqW77ByjAhoARA8EfrP1N4+KlKj8YS0ZUCtRT/YUuhyYDujIQ==",
-      "dev": true
-    },
-    "node_modules/lodash.truncate": {
-      "version": "4.4.2",
-      "resolved": "https://registry.npmjs.org/lodash.truncate/-/lodash.truncate-4.4.2.tgz",
-      "integrity": "sha512-jttmRe7bRse52OsWIMDLaXxWqRAmtIUccAQ3garviCqJjafXOfNMO0yMfNpdD6zbGaTU0P5Nz7e7gAT6cKmJRw=="
+    "node_modules/mdast-util-math/node_modules/@types/hast": {
+      "version": "3.0.4",
+      "resolved": "https://registry.npmjs.org/@types/hast/-/hast-3.0.4.tgz",
+      "integrity": "sha512-WPs+bbQw5aCj+x6laNGWLH3wviHtoCv/P3+otBhbOhJgG8qtpdAMlTCxLtsTWA7LH1Oh/bFCHsBn0TPS5m30EQ==",
+      "dependencies": {
+        "@types/unist": "*"
+      }
     },
-    "node_modules/log-symbols": {
-      "version": "5.1.0",
-      "resolved": "https://registry.npmjs.org/log-symbols/-/log-symbols-5.1.0.tgz",
-      "integrity": "sha512-l0x2DvrW294C9uDCoQe1VSU4gf529FkSZ6leBl4TiqZH/e+0R7hSfHQBNut2mNygDgHwvYHfFLn6Oxb3VWj2rA==",
+    "node_modules/mdast-util-math/node_modules/@types/mdast": {
+      "version": "4.0.4",
+      "resolved": "https://registry.npmjs.org/@types/mdast/-/mdast-4.0.4.tgz",
+      "integrity": "sha512-kGaNbPh1k7AFzgpud/gMdvIm5xuECykRR+JnWKQno9TAXVa6WIVCGTPvYGekIDL4uwCZQSYbUxNBSb1aUo79oA==",
       "dependencies": {
-        "chalk": "^5.0.0",
-        "is-unicode-supported": "^1.1.0"
-      },
-      "engines": {
-        "node": ">=12"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/sindresorhus"
+        "@types/unist": "*"
       }
     },
-    "node_modules/log-symbols/node_modules/chalk": {
-      "version": "5.3.0",
-      "resolved": "https://registry.npmjs.org/chalk/-/chalk-5.3.0.tgz",
-      "integrity": "sha512-dLitG79d+GV1Nb/VYcCDFivJeK1hiukt9QjRNVOsUtTy1rR1YJsmpGGTZ3qJos+uw7WmWF4wUwBd9jxjocFC2w==",
-      "engines": {
-        "node": "^12.17.0 || ^14.13 || >=16.0.0"
+    "node_modules/mdast-util-math/node_modules/@types/unist": {
+      "version": "3.0.2",
+      "resolved": "https://registry.npmjs.org/@types/unist/-/unist-3.0.2.tgz",
+      "integrity": "sha512-dqId9J8K/vGi5Zr7oo212BGii5m3q5Hxlkwy3WpYuKPklmBEvsbMYYyLxAQpSffdLl/gdW0XUpKWFvYmyoWCoQ=="
+    },
+    "node_modules/mdast-util-math/node_modules/mdast-util-from-markdown": {
+      "version": "2.0.1",
+      "resolved": "https://registry.npmjs.org/mdast-util-from-markdown/-/mdast-util-from-markdown-2.0.1.tgz",
+      "integrity": "sha512-aJEUyzZ6TzlsX2s5B4Of7lN7EQtAxvtradMMglCQDyaTFgse6CmtmdJ15ElnVRlCg1vpNyVtbem0PWzlNieZsA==",
+      "dependencies": {
+        "@types/mdast": "^4.0.0",
+        "@types/unist": "^3.0.0",
+        "decode-named-character-reference": "^1.0.0",
+        "devlop": "^1.0.0",
+        "mdast-util-to-string": "^4.0.0",
+        "micromark": "^4.0.0",
+        "micromark-util-decode-numeric-character-reference": "^2.0.0",
+        "micromark-util-decode-string": "^2.0.0",
+        "micromark-util-normalize-identifier": "^2.0.0",
+        "micromark-util-symbol": "^2.0.0",
+        "micromark-util-types": "^2.0.0",
+        "unist-util-stringify-position": "^4.0.0"
       },
       "funding": {
-        "url": "https://github.com/chalk/chalk?sponsor=1"
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
       }
     },
-    "node_modules/longest-streak": {
-      "version": "3.1.0",
-      "resolved": "https://registry.npmjs.org/longest-streak/-/longest-streak-3.1.0.tgz",
-      "integrity": "sha512-9Ri+o0JYgehTaVBBDoMqIl8GXtbWg711O3srftcHhZ0dqnETqLaoIK0x17fUw9rFSlK/0NlsKe0Ahhyl5pXE2g==",
+    "node_modules/mdast-util-math/node_modules/mdast-util-phrasing": {
+      "version": "4.1.0",
+      "resolved": "https://registry.npmjs.org/mdast-util-phrasing/-/mdast-util-phrasing-4.1.0.tgz",
+      "integrity": "sha512-TqICwyvJJpBwvGAMZjj4J2n0X8QWp21b9l0o7eXyVJ25YNWYbJDVIyD1bZXE6WtV6RmKJVYmQAKWa0zWOABz2w==",
+      "dependencies": {
+        "@types/mdast": "^4.0.0",
+        "unist-util-is": "^6.0.0"
+      },
       "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/wooorm"
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
       }
     },
-    "node_modules/loose-envify": {
-      "version": "1.4.0",
-      "resolved": "https://registry.npmjs.org/loose-envify/-/loose-envify-1.4.0.tgz",
-      "integrity": "sha512-lyuxPGr/Wfhrlem2CL/UcnUc1zcqKAImBDzukY7Y5F/yQiNdko6+fRLevlw1HgMySw7f611UIY408EtxRSoK3Q==",
+    "node_modules/mdast-util-math/node_modules/mdast-util-to-markdown": {
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/mdast-util-to-markdown/-/mdast-util-to-markdown-2.1.0.tgz",
+      "integrity": "sha512-SR2VnIEdVNCJbP6y7kVTJgPLifdr8WEU440fQec7qHoHOUz/oJ2jmNRqdDQ3rbiStOXb2mCDGTuwsK5OPUgYlQ==",
       "dependencies": {
-        "js-tokens": "^3.0.0 || ^4.0.0"
+        "@types/mdast": "^4.0.0",
+        "@types/unist": "^3.0.0",
+        "longest-streak": "^3.0.0",
+        "mdast-util-phrasing": "^4.0.0",
+        "mdast-util-to-string": "^4.0.0",
+        "micromark-util-decode-string": "^2.0.0",
+        "unist-util-visit": "^5.0.0",
+        "zwitch": "^2.0.0"
       },
-      "bin": {
-        "loose-envify": "cli.js"
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
       }
     },
-    "node_modules/lower-case": {
-      "version": "2.0.2",
-      "resolved": "https://registry.npmjs.org/lower-case/-/lower-case-2.0.2.tgz",
-      "integrity": "sha512-7fm3l3NAF9WfN6W3JOmf5drwpVqX78JtoGJ3A6W0a6ZnldM41w2fV5D490psKFTpMds8TJse/eHLFFsNHHjHgg==",
+    "node_modules/mdast-util-math/node_modules/mdast-util-to-string": {
+      "version": "4.0.0",
+      "resolved": "https://registry.npmjs.org/mdast-util-to-string/-/mdast-util-to-string-4.0.0.tgz",
+      "integrity": "sha512-0H44vDimn51F0YwvxSJSm0eCDOJTRlmN0R1yBh4HLj9wiV1Dn0QoXGbvFAWj2hSItVTlCmBF1hqKlIyUBVFLPg==",
       "dependencies": {
-        "tslib": "^2.0.3"
+        "@types/mdast": "^4.0.0"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
       }
     },
-    "node_modules/lowercase-keys": {
+    "node_modules/mdast-util-math/node_modules/micromark": {
+      "version": "4.0.0",
+      "resolved": "https://registry.npmjs.org/micromark/-/micromark-4.0.0.tgz",
+      "integrity": "sha512-o/sd0nMof8kYff+TqcDx3VSrgBTcZpSvYcAHIfHhv5VAuNmisCxjhx6YmxS8PFEpb9z5WKWKPdzf0jM23ro3RQ==",
+      "funding": [
+        {
+          "type": "GitHub Sponsors",
+          "url": "https://github.com/sponsors/unifiedjs"
+        },
+        {
+          "type": "OpenCollective",
+          "url": "https://opencollective.com/unified"
+        }
+      ],
+      "dependencies": {
+        "@types/debug": "^4.0.0",
+        "debug": "^4.0.0",
+        "decode-named-character-reference": "^1.0.0",
+        "devlop": "^1.0.0",
+        "micromark-core-commonmark": "^2.0.0",
+        "micromark-factory-space": "^2.0.0",
+        "micromark-util-character": "^2.0.0",
+        "micromark-util-chunked": "^2.0.0",
+        "micromark-util-combine-extensions": "^2.0.0",
+        "micromark-util-decode-numeric-character-reference": "^2.0.0",
+        "micromark-util-encode": "^2.0.0",
+        "micromark-util-normalize-identifier": "^2.0.0",
+        "micromark-util-resolve-all": "^2.0.0",
+        "micromark-util-sanitize-uri": "^2.0.0",
+        "micromark-util-subtokenize": "^2.0.0",
+        "micromark-util-symbol": "^2.0.0",
+        "micromark-util-types": "^2.0.0"
+      }
+    },
+    "node_modules/mdast-util-math/node_modules/micromark-core-commonmark": {
+      "version": "2.0.1",
+      "resolved": "https://registry.npmjs.org/micromark-core-commonmark/-/micromark-core-commonmark-2.0.1.tgz",
+      "integrity": "sha512-CUQyKr1e///ZODyD1U3xit6zXwy1a8q2a1S1HKtIlmgvurrEpaw/Y9y6KSIbF8P59cn/NjzHyO+Q2fAyYLQrAA==",
+      "funding": [
+        {
+          "type": "GitHub Sponsors",
+          "url": "https://github.com/sponsors/unifiedjs"
+        },
+        {
+          "type": "OpenCollective",
+          "url": "https://opencollective.com/unified"
+        }
+      ],
+      "dependencies": {
+        "decode-named-character-reference": "^1.0.0",
+        "devlop": "^1.0.0",
+        "micromark-factory-destination": "^2.0.0",
+        "micromark-factory-label": "^2.0.0",
+        "micromark-factory-space": "^2.0.0",
+        "micromark-factory-title": "^2.0.0",
+        "micromark-factory-whitespace": "^2.0.0",
+        "micromark-util-character": "^2.0.0",
+        "micromark-util-chunked": "^2.0.0",
+        "micromark-util-classify-character": "^2.0.0",
+        "micromark-util-html-tag-name": "^2.0.0",
+        "micromark-util-normalize-identifier": "^2.0.0",
+        "micromark-util-resolve-all": "^2.0.0",
+        "micromark-util-subtokenize": "^2.0.0",
+        "micromark-util-symbol": "^2.0.0",
+        "micromark-util-types": "^2.0.0"
+      }
+    },
+    "node_modules/mdast-util-math/node_modules/micromark-factory-destination": {
       "version": "2.0.0",
-      "resolved": "https://registry.npmjs.org/lowercase-keys/-/lowercase-keys-2.0.0.tgz",
-      "integrity": "sha512-tqNXrS78oMOE73NMxK4EMLQsQowWf8jKooH9g7xPavRT706R6bkQJ6DY2Te7QukaZsulxa30wQ7bk0pm4XiHmA==",
-      "dev": true,
-      "engines": {
-        "node": ">=8"
+      "resolved": "https://registry.npmjs.org/micromark-factory-destination/-/micromark-factory-destination-2.0.0.tgz",
+      "integrity": "sha512-j9DGrQLm/Uhl2tCzcbLhy5kXsgkHUrjJHg4fFAeoMRwJmJerT9aw4FEhIbZStWN8A3qMwOp1uzHr4UL8AInxtA==",
+      "funding": [
+        {
+          "type": "GitHub Sponsors",
+          "url": "https://github.com/sponsors/unifiedjs"
+        },
+        {
+          "type": "OpenCollective",
+          "url": "https://opencollective.com/unified"
+        }
+      ],
+      "dependencies": {
+        "micromark-util-character": "^2.0.0",
+        "micromark-util-symbol": "^2.0.0",
+        "micromark-util-types": "^2.0.0"
       }
     },
-    "node_modules/lowlight": {
-      "version": "1.20.0",
-      "resolved": "https://registry.npmjs.org/lowlight/-/lowlight-1.20.0.tgz",
-      "integrity": "sha512-8Ktj+prEb1RoCPkEOrPMYUN/nCggB7qAWe3a7OpMjWQkh3l2RD5wKRQ+o8Q8YuI9RG/xs95waaI/E6ym/7NsTw==",
+    "node_modules/mdast-util-math/node_modules/micromark-factory-label": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/micromark-factory-label/-/micromark-factory-label-2.0.0.tgz",
+      "integrity": "sha512-RR3i96ohZGde//4WSe/dJsxOX6vxIg9TimLAS3i4EhBAFx8Sm5SmqVfR8E87DPSR31nEAjZfbt91OMZWcNgdZw==",
+      "funding": [
+        {
+          "type": "GitHub Sponsors",
+          "url": "https://github.com/sponsors/unifiedjs"
+        },
+        {
+          "type": "OpenCollective",
+          "url": "https://opencollective.com/unified"
+        }
+      ],
       "dependencies": {
-        "fault": "^1.0.0",
-        "highlight.js": "~10.7.0"
-      },
-      "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/wooorm"
+        "devlop": "^1.0.0",
+        "micromark-util-character": "^2.0.0",
+        "micromark-util-symbol": "^2.0.0",
+        "micromark-util-types": "^2.0.0"
       }
     },
-    "node_modules/lru-cache": {
-      "version": "4.1.5",
-      "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-4.1.5.tgz",
-      "integrity": "sha512-sWZlbEP2OsHNkXrMl5GYk/jKk70MBng6UU4YI/qGDYbgf6YbP4EvmqISbXCoJiRKs+1bSpFHVgQxvJ17F2li5g==",
-      "dev": true,
+    "node_modules/mdast-util-math/node_modules/micromark-factory-space": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/micromark-factory-space/-/micromark-factory-space-2.0.0.tgz",
+      "integrity": "sha512-TKr+LIDX2pkBJXFLzpyPyljzYK3MtmllMUMODTQJIUfDGncESaqB90db9IAUcz4AZAJFdd8U9zOp9ty1458rxg==",
+      "funding": [
+        {
+          "type": "GitHub Sponsors",
+          "url": "https://github.com/sponsors/unifiedjs"
+        },
+        {
+          "type": "OpenCollective",
+          "url": "https://opencollective.com/unified"
+        }
+      ],
       "dependencies": {
-        "pseudomap": "^1.0.2",
-        "yallist": "^2.1.2"
+        "micromark-util-character": "^2.0.0",
+        "micromark-util-types": "^2.0.0"
       }
     },
-    "node_modules/lucide-react": {
-      "version": "0.233.0",
-      "resolved": "https://registry.npmjs.org/lucide-react/-/lucide-react-0.233.0.tgz",
-      "integrity": "sha512-r0jMHF0vPDq2wBbZ0B3rtIcBjDyWDKpHu+vAjD2OHn2WLUr3HN5IHovtO0EMgQXuSI7YrMZbjsEZWC2uBHr8nQ==",
-      "peerDependencies": {
-        "react": "^16.5.1 || ^17.0.0 || ^18.0.0"
+    "node_modules/mdast-util-math/node_modules/micromark-factory-title": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/micromark-factory-title/-/micromark-factory-title-2.0.0.tgz",
+      "integrity": "sha512-jY8CSxmpWLOxS+t8W+FG3Xigc0RDQA9bKMY/EwILvsesiRniiVMejYTE4wumNc2f4UbAa4WsHqe3J1QS1sli+A==",
+      "funding": [
+        {
+          "type": "GitHub Sponsors",
+          "url": "https://github.com/sponsors/unifiedjs"
+        },
+        {
+          "type": "OpenCollective",
+          "url": "https://opencollective.com/unified"
+        }
+      ],
+      "dependencies": {
+        "micromark-factory-space": "^2.0.0",
+        "micromark-util-character": "^2.0.0",
+        "micromark-util-symbol": "^2.0.0",
+        "micromark-util-types": "^2.0.0"
       }
     },
-    "node_modules/lz-string": {
-      "version": "1.5.0",
-      "resolved": "https://registry.npmjs.org/lz-string/-/lz-string-1.5.0.tgz",
-      "integrity": "sha512-h5bgJWpxJNswbU7qCrV0tIKQCaS3blPDrqKWx+QxzuzL1zGUzij9XCWLrSLsJPu5t+eWA/ycetzYAO5IOMcWAQ==",
-      "dev": true,
-      "bin": {
-        "lz-string": "bin/bin.js"
+    "node_modules/mdast-util-math/node_modules/micromark-factory-whitespace": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/micromark-factory-whitespace/-/micromark-factory-whitespace-2.0.0.tgz",
+      "integrity": "sha512-28kbwaBjc5yAI1XadbdPYHX/eDnqaUFVikLwrO7FDnKG7lpgxnvk/XGRhX/PN0mOZ+dBSZ+LgunHS+6tYQAzhA==",
+      "funding": [
+        {
+          "type": "GitHub Sponsors",
+          "url": "https://github.com/sponsors/unifiedjs"
+        },
+        {
+          "type": "OpenCollective",
+          "url": "https://opencollective.com/unified"
+        }
+      ],
+      "dependencies": {
+        "micromark-factory-space": "^2.0.0",
+        "micromark-util-character": "^2.0.0",
+        "micromark-util-symbol": "^2.0.0",
+        "micromark-util-types": "^2.0.0"
       }
     },
-    "node_modules/markdown-table": {
-      "version": "3.0.3",
-      "resolved": "https://registry.npmjs.org/markdown-table/-/markdown-table-3.0.3.tgz",
-      "integrity": "sha512-Z1NL3Tb1M9wH4XESsCDEksWoKTdlUafKc4pt0GRwjUyXaCFZ+dc3g2erqB6zm3szA2IUSi7VnPI+o/9jnxh9hw==",
-      "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/wooorm"
+    "node_modules/mdast-util-math/node_modules/micromark-util-character": {
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-2.1.0.tgz",
+      "integrity": "sha512-KvOVV+X1yLBfs9dCBSopq/+G1PcgT3lAK07mC4BzXi5E7ahzMAF8oIupDDJ6mievI6F+lAATkbQQlQixJfT3aQ==",
+      "funding": [
+        {
+          "type": "GitHub Sponsors",
+          "url": "https://github.com/sponsors/unifiedjs"
+        },
+        {
+          "type": "OpenCollective",
+          "url": "https://opencollective.com/unified"
+        }
+      ],
+      "dependencies": {
+        "micromark-util-symbol": "^2.0.0",
+        "micromark-util-types": "^2.0.0"
       }
     },
-    "node_modules/mathjax-full": {
-      "version": "3.2.2",
-      "resolved": "https://registry.npmjs.org/mathjax-full/-/mathjax-full-3.2.2.tgz",
-      "integrity": "sha512-+LfG9Fik+OuI8SLwsiR02IVdjcnRCy5MufYLi0C3TdMT56L/pjB0alMVGgoWJF8pN9Rc7FESycZB9BMNWIid5w==",
+    "node_modules/mdast-util-math/node_modules/micromark-util-chunked": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/micromark-util-chunked/-/micromark-util-chunked-2.0.0.tgz",
+      "integrity": "sha512-anK8SWmNphkXdaKgz5hJvGa7l00qmcaUQoMYsBwDlSKFKjc6gjGXPDw3FNL3Nbwq5L8gE+RCbGqTw49FK5Qyvg==",
+      "funding": [
+        {
+          "type": "GitHub Sponsors",
+          "url": "https://github.com/sponsors/unifiedjs"
+        },
+        {
+          "type": "OpenCollective",
+          "url": "https://opencollective.com/unified"
+        }
+      ],
       "dependencies": {
-        "esm": "^3.2.25",
-        "mhchemparser": "^4.1.0",
-        "mj-context-menu": "^0.6.1",
-        "speech-rule-engine": "^4.0.6"
+        "micromark-util-symbol": "^2.0.0"
       }
     },
-    "node_modules/mdast-util-definitions": {
-      "version": "5.1.2",
-      "resolved": "https://registry.npmjs.org/mdast-util-definitions/-/mdast-util-definitions-5.1.2.tgz",
-      "integrity": "sha512-8SVPMuHqlPME/z3gqVwWY4zVXn8lqKv/pAhC57FuJ40ImXyBpmO5ukh98zB2v7Blql2FiHjHv9LVztSIqjY+MA==",
+    "node_modules/mdast-util-math/node_modules/micromark-util-classify-character": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/micromark-util-classify-character/-/micromark-util-classify-character-2.0.0.tgz",
+      "integrity": "sha512-S0ze2R9GH+fu41FA7pbSqNWObo/kzwf8rN/+IGlW/4tC6oACOs8B++bh+i9bVyNnwCcuksbFwsBme5OCKXCwIw==",
+      "funding": [
+        {
+          "type": "GitHub Sponsors",
+          "url": "https://github.com/sponsors/unifiedjs"
+        },
+        {
+          "type": "OpenCollective",
+          "url": "https://opencollective.com/unified"
+        }
+      ],
       "dependencies": {
-        "@types/mdast": "^3.0.0",
-        "@types/unist": "^2.0.0",
-        "unist-util-visit": "^4.0.0"
-      },
-      "funding": {
-        "type": "opencollective",
-        "url": "https://opencollective.com/unified"
+        "micromark-util-character": "^2.0.0",
+        "micromark-util-symbol": "^2.0.0",
+        "micromark-util-types": "^2.0.0"
       }
     },
-    "node_modules/mdast-util-find-and-replace": {
-      "version": "2.2.2",
-      "resolved": "https://registry.npmjs.org/mdast-util-find-and-replace/-/mdast-util-find-and-replace-2.2.2.tgz",
-      "integrity": "sha512-MTtdFRz/eMDHXzeK6W3dO7mXUlF82Gom4y0oOgvHhh/HXZAGvIQDUvQ0SuUx+j2tv44b8xTHOm8K/9OoRFnXKw==",
+    "node_modules/mdast-util-math/node_modules/micromark-util-combine-extensions": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/micromark-util-combine-extensions/-/micromark-util-combine-extensions-2.0.0.tgz",
+      "integrity": "sha512-vZZio48k7ON0fVS3CUgFatWHoKbbLTK/rT7pzpJ4Bjp5JjkZeasRfrS9wsBdDJK2cJLHMckXZdzPSSr1B8a4oQ==",
+      "funding": [
+        {
+          "type": "GitHub Sponsors",
+          "url": "https://github.com/sponsors/unifiedjs"
+        },
+        {
+          "type": "OpenCollective",
+          "url": "https://opencollective.com/unified"
+        }
+      ],
       "dependencies": {
-        "@types/mdast": "^3.0.0",
-        "escape-string-regexp": "^5.0.0",
-        "unist-util-is": "^5.0.0",
-        "unist-util-visit-parents": "^5.0.0"
-      },
-      "funding": {
-        "type": "opencollective",
-        "url": "https://opencollective.com/unified"
+        "micromark-util-chunked": "^2.0.0",
+        "micromark-util-types": "^2.0.0"
       }
     },
-    "node_modules/mdast-util-find-and-replace/node_modules/escape-string-regexp": {
-      "version": "5.0.0",
-      "resolved": "https://registry.npmjs.org/escape-string-regexp/-/escape-string-regexp-5.0.0.tgz",
-      "integrity": "sha512-/veY75JbMK4j1yjvuUxuVsiS/hr/4iHs9FTT6cgTexxdE0Ly/glccBAkloH/DofkjRbZU3bnoj38mOmhkZ0lHw==",
-      "engines": {
-        "node": ">=12"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/sindresorhus"
+    "node_modules/mdast-util-math/node_modules/micromark-util-decode-numeric-character-reference": {
+      "version": "2.0.1",
+      "resolved": "https://registry.npmjs.org/micromark-util-decode-numeric-character-reference/-/micromark-util-decode-numeric-character-reference-2.0.1.tgz",
+      "integrity": "sha512-bmkNc7z8Wn6kgjZmVHOX3SowGmVdhYS7yBpMnuMnPzDq/6xwVA604DuOXMZTO1lvq01g+Adfa0pE2UKGlxL1XQ==",
+      "funding": [
+        {
+          "type": "GitHub Sponsors",
+          "url": "https://github.com/sponsors/unifiedjs"
+        },
+        {
+          "type": "OpenCollective",
+          "url": "https://opencollective.com/unified"
+        }
+      ],
+      "dependencies": {
+        "micromark-util-symbol": "^2.0.0"
       }
     },
-    "node_modules/mdast-util-from-markdown": {
-      "version": "1.3.1",
-      "resolved": "https://registry.npmjs.org/mdast-util-from-markdown/-/mdast-util-from-markdown-1.3.1.tgz",
-      "integrity": "sha512-4xTO/M8c82qBcnQc1tgpNtubGUW/Y1tBQ1B0i5CtSoelOLKFYlElIr3bvgREYYO5iRqbMY1YuqZng0GVOI8Qww==",
+    "node_modules/mdast-util-math/node_modules/micromark-util-decode-string": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/micromark-util-decode-string/-/micromark-util-decode-string-2.0.0.tgz",
+      "integrity": "sha512-r4Sc6leeUTn3P6gk20aFMj2ntPwn6qpDZqWvYmAG6NgvFTIlj4WtrAudLi65qYoaGdXYViXYw2pkmn7QnIFasA==",
+      "funding": [
+        {
+          "type": "GitHub Sponsors",
+          "url": "https://github.com/sponsors/unifiedjs"
+        },
+        {
+          "type": "OpenCollective",
+          "url": "https://opencollective.com/unified"
+        }
+      ],
       "dependencies": {
-        "@types/mdast": "^3.0.0",
-        "@types/unist": "^2.0.0",
         "decode-named-character-reference": "^1.0.0",
-        "mdast-util-to-string": "^3.1.0",
-        "micromark": "^3.0.0",
-        "micromark-util-decode-numeric-character-reference": "^1.0.0",
-        "micromark-util-decode-string": "^1.0.0",
-        "micromark-util-normalize-identifier": "^1.0.0",
-        "micromark-util-symbol": "^1.0.0",
-        "micromark-util-types": "^1.0.0",
-        "unist-util-stringify-position": "^3.0.0",
-        "uvu": "^0.5.0"
-      },
-      "funding": {
-        "type": "opencollective",
-        "url": "https://opencollective.com/unified"
+        "micromark-util-character": "^2.0.0",
+        "micromark-util-decode-numeric-character-reference": "^2.0.0",
+        "micromark-util-symbol": "^2.0.0"
       }
     },
-    "node_modules/mdast-util-gfm": {
-      "version": "2.0.2",
-      "resolved": "https://registry.npmjs.org/mdast-util-gfm/-/mdast-util-gfm-2.0.2.tgz",
-      "integrity": "sha512-qvZ608nBppZ4icQlhQQIAdc6S3Ffj9RGmzwUKUWuEICFnd1LVkN3EktF7ZHAgfcEdvZB5owU9tQgt99e2TlLjg==",
+    "node_modules/mdast-util-math/node_modules/micromark-util-encode": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/micromark-util-encode/-/micromark-util-encode-2.0.0.tgz",
+      "integrity": "sha512-pS+ROfCXAGLWCOc8egcBvT0kf27GoWMqtdarNfDcjb6YLuV5cM3ioG45Ys2qOVqeqSbjaKg72vU+Wby3eddPsA==",
+      "funding": [
+        {
+          "type": "GitHub Sponsors",
+          "url": "https://github.com/sponsors/unifiedjs"
+        },
+        {
+          "type": "OpenCollective",
+          "url": "https://opencollective.com/unified"
+        }
+      ]
+    },
+    "node_modules/mdast-util-math/node_modules/micromark-util-html-tag-name": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/micromark-util-html-tag-name/-/micromark-util-html-tag-name-2.0.0.tgz",
+      "integrity": "sha512-xNn4Pqkj2puRhKdKTm8t1YHC/BAjx6CEwRFXntTaRf/x16aqka6ouVoutm+QdkISTlT7e2zU7U4ZdlDLJd2Mcw==",
+      "funding": [
+        {
+          "type": "GitHub Sponsors",
+          "url": "https://github.com/sponsors/unifiedjs"
+        },
+        {
+          "type": "OpenCollective",
+          "url": "https://opencollective.com/unified"
+        }
+      ]
+    },
+    "node_modules/mdast-util-math/node_modules/micromark-util-normalize-identifier": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/micromark-util-normalize-identifier/-/micromark-util-normalize-identifier-2.0.0.tgz",
+      "integrity": "sha512-2xhYT0sfo85FMrUPtHcPo2rrp1lwbDEEzpx7jiH2xXJLqBuy4H0GgXk5ToU8IEwoROtXuL8ND0ttVa4rNqYK3w==",
+      "funding": [
+        {
+          "type": "GitHub Sponsors",
+          "url": "https://github.com/sponsors/unifiedjs"
+        },
+        {
+          "type": "OpenCollective",
+          "url": "https://opencollective.com/unified"
+        }
+      ],
       "dependencies": {
-        "mdast-util-from-markdown": "^1.0.0",
-        "mdast-util-gfm-autolink-literal": "^1.0.0",
-        "mdast-util-gfm-footnote": "^1.0.0",
-        "mdast-util-gfm-strikethrough": "^1.0.0",
-        "mdast-util-gfm-table": "^1.0.0",
-        "mdast-util-gfm-task-list-item": "^1.0.0",
-        "mdast-util-to-markdown": "^1.0.0"
-      },
-      "funding": {
-        "type": "opencollective",
-        "url": "https://opencollective.com/unified"
+        "micromark-util-symbol": "^2.0.0"
       }
     },
-    "node_modules/mdast-util-gfm-autolink-literal": {
-      "version": "1.0.3",
-      "resolved": "https://registry.npmjs.org/mdast-util-gfm-autolink-literal/-/mdast-util-gfm-autolink-literal-1.0.3.tgz",
-      "integrity": "sha512-My8KJ57FYEy2W2LyNom4n3E7hKTuQk/0SES0u16tjA9Z3oFkF4RrC/hPAPgjlSpezsOvI8ObcXcElo92wn5IGA==",
+    "node_modules/mdast-util-math/node_modules/micromark-util-resolve-all": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/micromark-util-resolve-all/-/micromark-util-resolve-all-2.0.0.tgz",
+      "integrity": "sha512-6KU6qO7DZ7GJkaCgwBNtplXCvGkJToU86ybBAUdavvgsCiG8lSSvYxr9MhwmQ+udpzywHsl4RpGJsYWG1pDOcA==",
+      "funding": [
+        {
+          "type": "GitHub Sponsors",
+          "url": "https://github.com/sponsors/unifiedjs"
+        },
+        {
+          "type": "OpenCollective",
+          "url": "https://opencollective.com/unified"
+        }
+      ],
       "dependencies": {
-        "@types/mdast": "^3.0.0",
-        "ccount": "^2.0.0",
-        "mdast-util-find-and-replace": "^2.0.0",
-        "micromark-util-character": "^1.0.0"
-      },
-      "funding": {
-        "type": "opencollective",
-        "url": "https://opencollective.com/unified"
+        "micromark-util-types": "^2.0.0"
       }
     },
-    "node_modules/mdast-util-gfm-footnote": {
-      "version": "1.0.2",
-      "resolved": "https://registry.npmjs.org/mdast-util-gfm-footnote/-/mdast-util-gfm-footnote-1.0.2.tgz",
-      "integrity": "sha512-56D19KOGbE00uKVj3sgIykpwKL179QsVFwx/DCW0u/0+URsryacI4MAdNJl0dh+u2PSsD9FtxPFbHCzJ78qJFQ==",
+    "node_modules/mdast-util-math/node_modules/micromark-util-sanitize-uri": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/micromark-util-sanitize-uri/-/micromark-util-sanitize-uri-2.0.0.tgz",
+      "integrity": "sha512-WhYv5UEcZrbAtlsnPuChHUAsu/iBPOVaEVsntLBIdpibO0ddy8OzavZz3iL2xVvBZOpolujSliP65Kq0/7KIYw==",
+      "funding": [
+        {
+          "type": "GitHub Sponsors",
+          "url": "https://github.com/sponsors/unifiedjs"
+        },
+        {
+          "type": "OpenCollective",
+          "url": "https://opencollective.com/unified"
+        }
+      ],
       "dependencies": {
-        "@types/mdast": "^3.0.0",
-        "mdast-util-to-markdown": "^1.3.0",
-        "micromark-util-normalize-identifier": "^1.0.0"
-      },
-      "funding": {
-        "type": "opencollective",
-        "url": "https://opencollective.com/unified"
+        "micromark-util-character": "^2.0.0",
+        "micromark-util-encode": "^2.0.0",
+        "micromark-util-symbol": "^2.0.0"
       }
     },
-    "node_modules/mdast-util-gfm-strikethrough": {
-      "version": "1.0.3",
-      "resolved": "https://registry.npmjs.org/mdast-util-gfm-strikethrough/-/mdast-util-gfm-strikethrough-1.0.3.tgz",
-      "integrity": "sha512-DAPhYzTYrRcXdMjUtUjKvW9z/FNAMTdU0ORyMcbmkwYNbKocDpdk+PX1L1dQgOID/+vVs1uBQ7ElrBQfZ0cuiQ==",
+    "node_modules/mdast-util-math/node_modules/micromark-util-subtokenize": {
+      "version": "2.0.1",
+      "resolved": "https://registry.npmjs.org/micromark-util-subtokenize/-/micromark-util-subtokenize-2.0.1.tgz",
+      "integrity": "sha512-jZNtiFl/1aY73yS3UGQkutD0UbhTt68qnRpw2Pifmz5wV9h8gOVsN70v+Lq/f1rKaU/W8pxRe8y8Q9FX1AOe1Q==",
+      "funding": [
+        {
+          "type": "GitHub Sponsors",
+          "url": "https://github.com/sponsors/unifiedjs"
+        },
+        {
+          "type": "OpenCollective",
+          "url": "https://opencollective.com/unified"
+        }
+      ],
       "dependencies": {
-        "@types/mdast": "^3.0.0",
-        "mdast-util-to-markdown": "^1.3.0"
+        "devlop": "^1.0.0",
+        "micromark-util-chunked": "^2.0.0",
+        "micromark-util-symbol": "^2.0.0",
+        "micromark-util-types": "^2.0.0"
+      }
+    },
+    "node_modules/mdast-util-math/node_modules/micromark-util-symbol": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/micromark-util-symbol/-/micromark-util-symbol-2.0.0.tgz",
+      "integrity": "sha512-8JZt9ElZ5kyTnO94muPxIGS8oyElRJaiJO8EzV6ZSyGQ1Is8xwl4Q45qU5UOg+bGH4AikWziz0iN4sFLWs8PGw==",
+      "funding": [
+        {
+          "type": "GitHub Sponsors",
+          "url": "https://github.com/sponsors/unifiedjs"
+        },
+        {
+          "type": "OpenCollective",
+          "url": "https://opencollective.com/unified"
+        }
+      ]
+    },
+    "node_modules/mdast-util-math/node_modules/micromark-util-types": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/micromark-util-types/-/micromark-util-types-2.0.0.tgz",
+      "integrity": "sha512-oNh6S2WMHWRZrmutsRmDDfkzKtxF+bc2VxLC9dvtrDIRFln627VsFP6fLMgTryGDljgLPjkrzQSDcPrjPyDJ5w==",
+      "funding": [
+        {
+          "type": "GitHub Sponsors",
+          "url": "https://github.com/sponsors/unifiedjs"
+        },
+        {
+          "type": "OpenCollective",
+          "url": "https://opencollective.com/unified"
+        }
+      ]
+    },
+    "node_modules/mdast-util-math/node_modules/unist-util-is": {
+      "version": "6.0.0",
+      "resolved": "https://registry.npmjs.org/unist-util-is/-/unist-util-is-6.0.0.tgz",
+      "integrity": "sha512-2qCTHimwdxLfz+YzdGfkqNlH0tLi9xjTnHddPmJwtIG9MGsdbutfTc4P+haPD7l7Cjxf/WZj+we5qfVPvvxfYw==",
+      "dependencies": {
+        "@types/unist": "^3.0.0"
       },
       "funding": {
         "type": "opencollective",
         "url": "https://opencollective.com/unified"
       }
     },
-    "node_modules/mdast-util-gfm-table": {
-      "version": "1.0.7",
-      "resolved": "https://registry.npmjs.org/mdast-util-gfm-table/-/mdast-util-gfm-table-1.0.7.tgz",
-      "integrity": "sha512-jjcpmNnQvrmN5Vx7y7lEc2iIOEytYv7rTvu+MeyAsSHTASGCCRA79Igg2uKssgOs1i1po8s3plW0sTu1wkkLGg==",
+    "node_modules/mdast-util-math/node_modules/unist-util-stringify-position": {
+      "version": "4.0.0",
+      "resolved": "https://registry.npmjs.org/unist-util-stringify-position/-/unist-util-stringify-position-4.0.0.tgz",
+      "integrity": "sha512-0ASV06AAoKCDkS2+xw5RXJywruurpbC4JZSm7nr7MOt1ojAzvyyaO+UxZf18j8FCF6kmzCZKcAgN/yu2gm2XgQ==",
       "dependencies": {
-        "@types/mdast": "^3.0.0",
-        "markdown-table": "^3.0.0",
-        "mdast-util-from-markdown": "^1.0.0",
-        "mdast-util-to-markdown": "^1.3.0"
+        "@types/unist": "^3.0.0"
       },
       "funding": {
         "type": "opencollective",
         "url": "https://opencollective.com/unified"
       }
     },
-    "node_modules/mdast-util-gfm-task-list-item": {
-      "version": "1.0.2",
-      "resolved": "https://registry.npmjs.org/mdast-util-gfm-task-list-item/-/mdast-util-gfm-task-list-item-1.0.2.tgz",
-      "integrity": "sha512-PFTA1gzfp1B1UaiJVyhJZA1rm0+Tzn690frc/L8vNX1Jop4STZgOE6bxUhnzdVSB+vm2GU1tIsuQcA9bxTQpMQ==",
+    "node_modules/mdast-util-math/node_modules/unist-util-visit": {
+      "version": "5.0.0",
+      "resolved": "https://registry.npmjs.org/unist-util-visit/-/unist-util-visit-5.0.0.tgz",
+      "integrity": "sha512-MR04uvD+07cwl/yhVuVWAtw+3GOR/knlL55Nd/wAdblk27GCVt3lqpTivy/tkJcZoNPzTwS1Y+KMojlLDhoTzg==",
       "dependencies": {
-        "@types/mdast": "^3.0.0",
-        "mdast-util-to-markdown": "^1.3.0"
+        "@types/unist": "^3.0.0",
+        "unist-util-is": "^6.0.0",
+        "unist-util-visit-parents": "^6.0.0"
       },
       "funding": {
         "type": "opencollective",
         "url": "https://opencollective.com/unified"
       }
     },
-    "node_modules/mdast-util-math": {
-      "version": "2.0.2",
-      "resolved": "https://registry.npmjs.org/mdast-util-math/-/mdast-util-math-2.0.2.tgz",
-      "integrity": "sha512-8gmkKVp9v6+Tgjtq6SYx9kGPpTf6FVYRa53/DLh479aldR9AyP48qeVOgNZ5X7QUK7nOy4yw7vg6mbiGcs9jWQ==",
+    "node_modules/mdast-util-math/node_modules/unist-util-visit-parents": {
+      "version": "6.0.1",
+      "resolved": "https://registry.npmjs.org/unist-util-visit-parents/-/unist-util-visit-parents-6.0.1.tgz",
+      "integrity": "sha512-L/PqWzfTP9lzzEa6CKs0k2nARxTdZduw3zyh8d2NVBnsyvHjSX4TWse388YrrQKbvI8w20fGjGlhgT96WwKykw==",
       "dependencies": {
-        "@types/mdast": "^3.0.0",
-        "longest-streak": "^3.0.0",
-        "mdast-util-to-markdown": "^1.3.0"
+        "@types/unist": "^3.0.0",
+        "unist-util-is": "^6.0.0"
       },
       "funding": {
         "type": "opencollective",
@@ -7472,6 +10157,22 @@
         "url": "https://opencollective.com/unified"
       }
     },
+    "node_modules/merge-refs": {
+      "version": "1.3.0",
+      "resolved": "https://registry.npmjs.org/merge-refs/-/merge-refs-1.3.0.tgz",
+      "integrity": "sha512-nqXPXbso+1dcKDpPCXvwZyJILz+vSLqGGOnDrYHQYE+B8n9JTCekVLC65AfCpR4ggVyA/45Y0iR9LDyS2iI+zA==",
+      "funding": {
+        "url": "https://github.com/wojtekmaj/merge-refs?sponsor=1"
+      },
+      "peerDependencies": {
+        "@types/react": "^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        }
+      }
+    },
     "node_modules/merge-stream": {
       "version": "2.0.0",
       "resolved": "https://registry.npmjs.org/merge-stream/-/merge-stream-2.0.0.tgz",
@@ -7672,23 +10373,91 @@
       }
     },
     "node_modules/micromark-extension-math": {
-      "version": "2.1.2",
-      "resolved": "https://registry.npmjs.org/micromark-extension-math/-/micromark-extension-math-2.1.2.tgz",
-      "integrity": "sha512-es0CcOV89VNS9wFmyn+wyFTKweXGW4CEvdaAca6SWRWPyYCbBisnjaHLjWO4Nszuiud84jCpkHsqAJoa768Pvg==",
+      "version": "3.0.0",
+      "resolved": "https://registry.npmjs.org/micromark-extension-math/-/micromark-extension-math-3.0.0.tgz",
+      "integrity": "sha512-iJ2Q28vBoEovLN5o3GO12CpqorQRYDPT+p4zW50tGwTfJB+iv/VnB6Ini+gqa24K97DwptMBBIvVX6Bjk49oyQ==",
       "dependencies": {
         "@types/katex": "^0.16.0",
+        "devlop": "^1.0.0",
         "katex": "^0.16.0",
-        "micromark-factory-space": "^1.0.0",
-        "micromark-util-character": "^1.0.0",
-        "micromark-util-symbol": "^1.0.0",
-        "micromark-util-types": "^1.0.0",
-        "uvu": "^0.5.0"
+        "micromark-factory-space": "^2.0.0",
+        "micromark-util-character": "^2.0.0",
+        "micromark-util-symbol": "^2.0.0",
+        "micromark-util-types": "^2.0.0"
       },
       "funding": {
         "type": "opencollective",
         "url": "https://opencollective.com/unified"
       }
     },
+    "node_modules/micromark-extension-math/node_modules/micromark-factory-space": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/micromark-factory-space/-/micromark-factory-space-2.0.0.tgz",
+      "integrity": "sha512-TKr+LIDX2pkBJXFLzpyPyljzYK3MtmllMUMODTQJIUfDGncESaqB90db9IAUcz4AZAJFdd8U9zOp9ty1458rxg==",
+      "funding": [
+        {
+          "type": "GitHub Sponsors",
+          "url": "https://github.com/sponsors/unifiedjs"
+        },
+        {
+          "type": "OpenCollective",
+          "url": "https://opencollective.com/unified"
+        }
+      ],
+      "dependencies": {
+        "micromark-util-character": "^2.0.0",
+        "micromark-util-types": "^2.0.0"
+      }
+    },
+    "node_modules/micromark-extension-math/node_modules/micromark-util-character": {
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-2.1.0.tgz",
+      "integrity": "sha512-KvOVV+X1yLBfs9dCBSopq/+G1PcgT3lAK07mC4BzXi5E7ahzMAF8oIupDDJ6mievI6F+lAATkbQQlQixJfT3aQ==",
+      "funding": [
+        {
+          "type": "GitHub Sponsors",
+          "url": "https://github.com/sponsors/unifiedjs"
+        },
+        {
+          "type": "OpenCollective",
+          "url": "https://opencollective.com/unified"
+        }
+      ],
+      "dependencies": {
+        "micromark-util-symbol": "^2.0.0",
+        "micromark-util-types": "^2.0.0"
+      }
+    },
+    "node_modules/micromark-extension-math/node_modules/micromark-util-symbol": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/micromark-util-symbol/-/micromark-util-symbol-2.0.0.tgz",
+      "integrity": "sha512-8JZt9ElZ5kyTnO94muPxIGS8oyElRJaiJO8EzV6ZSyGQ1Is8xwl4Q45qU5UOg+bGH4AikWziz0iN4sFLWs8PGw==",
+      "funding": [
+        {
+          "type": "GitHub Sponsors",
+          "url": "https://github.com/sponsors/unifiedjs"
+        },
+        {
+          "type": "OpenCollective",
+          "url": "https://opencollective.com/unified"
+        }
+      ]
+    },
+    "node_modules/micromark-extension-math/node_modules/micromark-util-types": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/micromark-util-types/-/micromark-util-types-2.0.0.tgz",
+      "integrity": "sha512-oNh6S2WMHWRZrmutsRmDDfkzKtxF+bc2VxLC9dvtrDIRFln627VsFP6fLMgTryGDljgLPjkrzQSDcPrjPyDJ5w==",
+      "funding": [
+        {
+          "type": "GitHub Sponsors",
+          "url": "https://github.com/sponsors/unifiedjs"
+        },
+        {
+          "type": "OpenCollective",
+          "url": "https://opencollective.com/unified"
+        }
+      ]
+    },
     "node_modules/micromark-factory-destination": {
       "version": "1.1.0",
       "resolved": "https://registry.npmjs.org/micromark-factory-destination/-/micromark-factory-destination-1.1.0.tgz",
@@ -8044,17 +10813,36 @@
       ]
     },
     "node_modules/micromatch": {
-      "version": "4.0.5",
-      "resolved": "https://registry.npmjs.org/micromatch/-/micromatch-4.0.5.tgz",
-      "integrity": "sha512-DMy+ERcEW2q8Z2Po+WNXuw3c5YaUSFjAO5GsJqfEl7UjvtIuFKO6ZrKvcItdy98dwFI2N1tg3zNIdKaQT+aNdA==",
+      "version": "4.0.7",
+      "resolved": "https://registry.npmjs.org/micromatch/-/micromatch-4.0.7.tgz",
+      "integrity": "sha512-LPP/3KorzCwBxfeUuZmaR6bG2kdeHSbe0P2tY3FLRU4vYrjYz5hI4QZwV0njUx3jeuKe67YukQ1LSPZBKDqO/Q==",
       "dependencies": {
-        "braces": "^3.0.2",
+        "braces": "^3.0.3",
         "picomatch": "^2.3.1"
       },
       "engines": {
         "node": ">=8.6"
       }
     },
+    "node_modules/million": {
+      "version": "3.1.11",
+      "resolved": "https://registry.npmjs.org/million/-/million-3.1.11.tgz",
+      "integrity": "sha512-6Vh1s0da0PzSqbbp9Zd8yMTIkOWnvBU4vNJCMHTZPXaY3fZ5h+N7s5croS/RBgjJIHz3WQZnvyNBQz7gQ6cqJg==",
+      "dependencies": {
+        "@babel/core": "^7.23.7",
+        "@babel/types": "^7.23.6",
+        "@rollup/pluginutils": "^5.1.0",
+        "kleur": "^4.1.5",
+        "undici": "^6.3.0",
+        "unplugin": "^1.6.0"
+      },
+      "bin": {
+        "million": "cli.js"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/aidenybai"
+      }
+    },
     "node_modules/mime-db": {
       "version": "1.52.0",
       "resolved": "https://registry.npmjs.org/mime-db/-/mime-db-1.52.0.tgz",
@@ -8109,9 +10897,9 @@
       }
     },
     "node_modules/minimatch": {
-      "version": "9.0.3",
-      "resolved": "https://registry.npmjs.org/minimatch/-/minimatch-9.0.3.tgz",
-      "integrity": "sha512-RHiac9mvaRw0x3AYRgDC1CxAP7HTcNrrECeA8YYJeWnpo+2Q5CegtZjaotWTWxDG3UeGA1coE05iH1mPjT/2mg==",
+      "version": "9.0.4",
+      "resolved": "https://registry.npmjs.org/minimatch/-/minimatch-9.0.4.tgz",
+      "integrity": "sha512-KqWh+VchfxcMNRAJjj2tnsSJdNbHsVgnkBhTNrW7AjVo6OvLtxw8zfT9oLw1JSohlFzJ8jCoTgaoXvJ+kHt6fw==",
       "dependencies": {
         "brace-expansion": "^2.0.1"
       },
@@ -8131,30 +10919,59 @@
       }
     },
     "node_modules/minipass": {
-      "version": "7.0.4",
-      "resolved": "https://registry.npmjs.org/minipass/-/minipass-7.0.4.tgz",
-      "integrity": "sha512-jYofLM5Dam9279rdkWzqHozUo4ybjdZmCsDHePy5V/PbBcVMiSZR97gmAy45aqi8CK1lG2ECd356FU86avfwUQ==",
+      "version": "5.0.0",
+      "resolved": "https://registry.npmjs.org/minipass/-/minipass-5.0.0.tgz",
+      "integrity": "sha512-3FnjYuehv9k6ovOEbyOswadCDPX1piCfhV8ncmYtHOjuPwylVWsghTLo7rabjC3Rx5xD4HDx8Wm1xnMF7S5qFQ==",
       "engines": {
-        "node": ">=16 || 14 >=14.17"
+        "node": ">=8"
+      }
+    },
+    "node_modules/minizlib": {
+      "version": "2.1.2",
+      "resolved": "https://registry.npmjs.org/minizlib/-/minizlib-2.1.2.tgz",
+      "integrity": "sha512-bAxsR8BVfj60DWXHE3u30oHzfl4G7khkSuPW+qvpd7jFRHm7dLxOjUk1EHACJ/hxLY8phGJ0YhYHZo7jil7Qdg==",
+      "optional": true,
+      "dependencies": {
+        "minipass": "^3.0.0",
+        "yallist": "^4.0.0"
+      },
+      "engines": {
+        "node": ">= 8"
+      }
+    },
+    "node_modules/minizlib/node_modules/minipass": {
+      "version": "3.3.6",
+      "resolved": "https://registry.npmjs.org/minipass/-/minipass-3.3.6.tgz",
+      "integrity": "sha512-DxiNidxSEK+tHG6zOIklvNOwm3hvCrbUrdtzY74U6HKTJxvIDfOUL5W5P2Ghd3DTkhhKPYGqeNUIh5qcM4YBfw==",
+      "optional": true,
+      "dependencies": {
+        "yallist": "^4.0.0"
+      },
+      "engines": {
+        "node": ">=8"
       }
     },
+    "node_modules/minizlib/node_modules/yallist": {
+      "version": "4.0.0",
+      "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz",
+      "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A==",
+      "optional": true
+    },
     "node_modules/mj-context-menu": {
       "version": "0.6.1",
       "resolved": "https://registry.npmjs.org/mj-context-menu/-/mj-context-menu-0.6.1.tgz",
       "integrity": "sha512-7NO5s6n10TIV96d4g2uDpG7ZDpIhMh0QNfGdJw/W47JswFcosz457wqz/b5sAKvl12sxINGFCn80NZHKwxQEXA=="
     },
     "node_modules/mkdirp": {
-      "version": "2.1.6",
-      "resolved": "https://registry.npmjs.org/mkdirp/-/mkdirp-2.1.6.tgz",
-      "integrity": "sha512-+hEnITedc8LAtIP9u3HJDFIdcLV2vXP33sqLLIzkv1Db1zO/1OxbvYf0Y1OC/S/Qo5dxHXepofhmxL02PsKe+A==",
+      "version": "1.0.4",
+      "resolved": "https://registry.npmjs.org/mkdirp/-/mkdirp-1.0.4.tgz",
+      "integrity": "sha512-vVqVZQyf3WLx2Shd0qJ9xuvqgAyKPLAiqITEtqW0oIUjzo3PePDd6fW9iFz30ef7Ysp/oiWqbhszeGWW2T6Gzw==",
+      "optional": true,
       "bin": {
-        "mkdirp": "dist/cjs/src/bin.js"
+        "mkdirp": "bin/cmd.js"
       },
       "engines": {
         "node": ">=10"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/isaacs"
       }
     },
     "node_modules/moment": {
@@ -8188,10 +11005,16 @@
         "thenify-all": "^1.0.0"
       }
     },
+    "node_modules/nan": {
+      "version": "2.20.0",
+      "resolved": "https://registry.npmjs.org/nan/-/nan-2.20.0.tgz",
+      "integrity": "sha512-bk3gXBZDGILuuo/6sKtr0DQmSThYHLtNCdSdXk9YkxD/jK6X2vmCyyXBBxyqZ4XcnzTyYEAThfX3DCEnLf6igw==",
+      "optional": true
+    },
     "node_modules/nanoid": {
-      "version": "3.3.7",
-      "resolved": "https://registry.npmjs.org/nanoid/-/nanoid-3.3.7.tgz",
-      "integrity": "sha512-eSRppjcPIatRIMC1U6UngP8XFcz8MQWGQdt1MTBQ7NaAmvXDfvNxbvWV3x2y6CdEUciCSsDHDQZbhYaB8QEo2g==",
+      "version": "5.0.7",
+      "resolved": "https://registry.npmjs.org/nanoid/-/nanoid-5.0.7.tgz",
+      "integrity": "sha512-oLxFY2gd2IqnjcYyOXD8XGCftpGtZP2AbHbOkthDkvRywH5ayNtPVy9YlOPcHckXzbLTCHpkb7FB+yuxKV13pQ==",
       "funding": [
         {
           "type": "github",
@@ -8199,10 +11022,30 @@
         }
       ],
       "bin": {
-        "nanoid": "bin/nanoid.cjs"
+        "nanoid": "bin/nanoid.js"
       },
       "engines": {
-        "node": "^10 || ^12 || ^13.7 || ^14 || >=15.0.1"
+        "node": "^18 || >=20"
+      }
+    },
+    "node_modules/natural-compare": {
+      "version": "1.4.0",
+      "resolved": "https://registry.npmjs.org/natural-compare/-/natural-compare-1.4.0.tgz",
+      "integrity": "sha512-OWND8ei3VtNC9h7V60qff3SVobHr996CTwgxubgyQYEpg290h9J0buyECNNJexkFm5sOajh5G116RYA1c8ZMSw==",
+      "dev": true
+    },
+    "node_modules/nice-napi": {
+      "version": "1.0.2",
+      "resolved": "https://registry.npmjs.org/nice-napi/-/nice-napi-1.0.2.tgz",
+      "integrity": "sha512-px/KnJAJZf5RuBGcfD+Sp2pAKq0ytz8j+1NehvgIGFkvtvFrDM3T8E4x/JJODXK9WZow8RRGrbA9QQ3hs+pDhA==",
+      "hasInstallScript": true,
+      "optional": true,
+      "os": [
+        "!win32"
+      ],
+      "dependencies": {
+        "node-addon-api": "^3.0.0",
+        "node-gyp-build": "^4.2.2"
       }
     },
     "node_modules/no-case": {
@@ -8214,6 +11057,12 @@
         "tslib": "^2.0.3"
       }
     },
+    "node_modules/node-addon-api": {
+      "version": "3.2.1",
+      "resolved": "https://registry.npmjs.org/node-addon-api/-/node-addon-api-3.2.1.tgz",
+      "integrity": "sha512-mmcei9JghVNDYydghQmeDX8KoAm0FAiYyIcUt/N4nhyAipB17pllZQDOJD2fotxABnt4Mdz+dKTO7eftLg4d0A==",
+      "optional": true
+    },
     "node_modules/node-domexception": {
       "version": "1.0.0",
       "resolved": "https://registry.npmjs.org/node-domexception/-/node-domexception-1.0.0.tgz",
@@ -8233,20 +11082,33 @@
       }
     },
     "node_modules/node-fetch": {
-      "version": "3.3.2",
-      "resolved": "https://registry.npmjs.org/node-fetch/-/node-fetch-3.3.2.tgz",
-      "integrity": "sha512-dRB78srN/l6gqWulah9SrxeYnxeddIG30+GOqK/9OlLVyLg3HPnr6SqOWTWOXKRwC2eGYCkZ59NNuSgvSrpgOA==",
+      "version": "2.7.0",
+      "resolved": "https://registry.npmjs.org/node-fetch/-/node-fetch-2.7.0.tgz",
+      "integrity": "sha512-c4FRfUm/dbcWZ7U+1Wq0AwCyFL+3nt2bEw05wfxSz+DWpWsitgmSgYmy2dQdWyKC1694ELPqMs/YzUSNozLt8A==",
       "dependencies": {
-        "data-uri-to-buffer": "^4.0.0",
-        "fetch-blob": "^3.1.4",
-        "formdata-polyfill": "^4.0.10"
+        "whatwg-url": "^5.0.0"
       },
       "engines": {
-        "node": "^12.20.0 || ^14.13.1 || >=16.0.0"
+        "node": "4.x || >=6.0.0"
       },
-      "funding": {
-        "type": "opencollective",
-        "url": "https://opencollective.com/node-fetch"
+      "peerDependencies": {
+        "encoding": "^0.1.0"
+      },
+      "peerDependenciesMeta": {
+        "encoding": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/node-gyp-build": {
+      "version": "4.8.1",
+      "resolved": "https://registry.npmjs.org/node-gyp-build/-/node-gyp-build-4.8.1.tgz",
+      "integrity": "sha512-OSs33Z9yWr148JZcbZd5WiAXhh/n9z8TxQcdMhIOlpN9AhWpLfvVFO73+m77bBABQMaY9XSvIa+qk0jlI7Gcaw==",
+      "optional": true,
+      "bin": {
+        "node-gyp-build": "bin.js",
+        "node-gyp-build-optional": "optional.js",
+        "node-gyp-build-test": "build-test.js"
       }
     },
     "node_modules/node-releases": {
@@ -8254,6 +11116,21 @@
       "resolved": "https://registry.npmjs.org/node-releases/-/node-releases-2.0.14.tgz",
       "integrity": "sha512-y10wOWt8yZpqXmOgRo77WaHEmhYQYGNA6y421PKsKYWEK8aW+cqAphborZDhqfyKrbZEN92CN1X2KbafY2s7Yw=="
     },
+    "node_modules/nopt": {
+      "version": "5.0.0",
+      "resolved": "https://registry.npmjs.org/nopt/-/nopt-5.0.0.tgz",
+      "integrity": "sha512-Tbj67rffqceeLpcRXrT7vKAN8CwfPeIBgM7E6iBkmKLV7bEMwpGgYLGv0jACUsECaa/vuxP0IjEont6umdMgtQ==",
+      "optional": true,
+      "dependencies": {
+        "abbrev": "1"
+      },
+      "bin": {
+        "nopt": "bin/nopt.js"
+      },
+      "engines": {
+        "node": ">=6"
+      }
+    },
     "node_modules/normalize-path": {
       "version": "3.0.0",
       "resolved": "https://registry.npmjs.org/normalize-path/-/normalize-path-3.0.0.tgz",
@@ -8295,10 +11172,32 @@
         "node": ">=4"
       }
     },
+    "node_modules/npm-run-path/node_modules/path-key": {
+      "version": "2.0.1",
+      "resolved": "https://registry.npmjs.org/path-key/-/path-key-2.0.1.tgz",
+      "integrity": "sha512-fEHGKCSmUSDPv4uoj8AlD+joPlq3peND+HRYyxFz4KPw4z926S/b8rIuFs2FYJg3BwsxJf6A9/3eIdLaYC+9Dw==",
+      "dev": true,
+      "engines": {
+        "node": ">=4"
+      }
+    },
+    "node_modules/npmlog": {
+      "version": "5.0.1",
+      "resolved": "https://registry.npmjs.org/npmlog/-/npmlog-5.0.1.tgz",
+      "integrity": "sha512-AqZtDUWOMKs1G/8lwylVjrdYgqA4d9nu8hc+0gzRxlDb1I10+FHBGMXs6aiQHFdCUUlqH99MUMuLfzWDNDtfxw==",
+      "deprecated": "This package is no longer supported.",
+      "optional": true,
+      "dependencies": {
+        "are-we-there-yet": "^2.0.0",
+        "console-control-strings": "^1.1.0",
+        "gauge": "^3.0.0",
+        "set-blocking": "^2.0.0"
+      }
+    },
     "node_modules/nwsapi": {
-      "version": "2.2.7",
-      "resolved": "https://registry.npmjs.org/nwsapi/-/nwsapi-2.2.7.tgz",
-      "integrity": "sha512-ub5E4+FBPKwAZx0UwIQOjYWGHTEq5sPqHQNRN8Z9e4A7u3Tj1weLJsL59yH9vmvqEtBHaOmT6cYQKIZOxp35FQ=="
+      "version": "2.2.10",
+      "resolved": "https://registry.npmjs.org/nwsapi/-/nwsapi-2.2.10.tgz",
+      "integrity": "sha512-QK0sRs7MKv0tKe1+5uZIQk/C8XGza4DAnztJG8iD+TpJIORARrCxczA738awHrZoHeTjSSoHqao2teO0dC/gFQ=="
     },
     "node_modules/object-assign": {
       "version": "4.1.1",
@@ -8316,63 +11215,11 @@
         "node": ">= 6"
       }
     },
-    "node_modules/object-inspect": {
-      "version": "1.13.1",
-      "resolved": "https://registry.npmjs.org/object-inspect/-/object-inspect-1.13.1.tgz",
-      "integrity": "sha512-5qoj1RUiKOMsCCNLV1CBiPYE10sziTsnmNxkAI/rZhiD63CF7IqdFGC/XzjWjpSgLf0LxXX3bDFIh0E18f6UhQ==",
-      "dev": true,
-      "funding": {
-        "url": "https://github.com/sponsors/ljharb"
-      }
-    },
-    "node_modules/object-is": {
-      "version": "1.1.5",
-      "resolved": "https://registry.npmjs.org/object-is/-/object-is-1.1.5.tgz",
-      "integrity": "sha512-3cyDsyHgtmi7I7DfSSI2LDp6SK2lwvtbg0p0R1e0RvTqF5ceGx+K2dfSjm1bKDMVCFEDAQvy+o8c6a7VujOddw==",
-      "dev": true,
-      "dependencies": {
-        "call-bind": "^1.0.2",
-        "define-properties": "^1.1.3"
-      },
-      "engines": {
-        "node": ">= 0.4"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/ljharb"
-      }
-    },
-    "node_modules/object-keys": {
-      "version": "1.1.1",
-      "resolved": "https://registry.npmjs.org/object-keys/-/object-keys-1.1.1.tgz",
-      "integrity": "sha512-NuAESUOUMrlIXOfHKzD6bpPu3tYt3xvjNdRIQ+FeT0lNb4K8WR70CaDxhuNguS2XG+GjkyMwOzsN5ZktImfhLA==",
-      "dev": true,
-      "engines": {
-        "node": ">= 0.4"
-      }
-    },
-    "node_modules/object.assign": {
-      "version": "4.1.5",
-      "resolved": "https://registry.npmjs.org/object.assign/-/object.assign-4.1.5.tgz",
-      "integrity": "sha512-byy+U7gp+FVwmyzKPYhW2h5l3crpmGsxl7X2s8y43IgxvG4g3QZ6CffDtsNQy1WsmZpQbO+ybo0AlW7TY6DcBQ==",
-      "dev": true,
-      "dependencies": {
-        "call-bind": "^1.0.5",
-        "define-properties": "^1.2.1",
-        "has-symbols": "^1.0.3",
-        "object-keys": "^1.1.1"
-      },
-      "engines": {
-        "node": ">= 0.4"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/ljharb"
-      }
-    },
     "node_modules/once": {
       "version": "1.4.0",
       "resolved": "https://registry.npmjs.org/once/-/once-1.4.0.tgz",
       "integrity": "sha512-lNaJgI+2Q5URQBkccEKHTQOPaXdUxnZZElQTZY0MFUAuaEqe1E+Nyvgdz/aIyNi6Z9MzO5dv1H8n58/GELp3+w==",
-      "dev": true,
+      "devOptional": true,
       "dependencies": {
         "wrappy": "1"
       }
@@ -8391,6 +11238,31 @@
         "url": "https://github.com/sponsors/sindresorhus"
       }
     },
+    "node_modules/openseadragon": {
+      "version": "4.1.1",
+      "resolved": "https://registry.npmjs.org/openseadragon/-/openseadragon-4.1.1.tgz",
+      "integrity": "sha512-owU9gsasAcobLN+LM8lN58Xc2VDSDotY9mkrwS/NB6g9KX/PcusV4RZvhHng2RF/Q0pMziwldf62glwXoGnuzg==",
+      "funding": {
+        "url": "https://opencollective.com/openseadragon"
+      }
+    },
+    "node_modules/optionator": {
+      "version": "0.9.4",
+      "resolved": "https://registry.npmjs.org/optionator/-/optionator-0.9.4.tgz",
+      "integrity": "sha512-6IpQ7mKUxRcZNLIObR0hz7lxsapSSIYNZJwXPGeF0mTVqGKFIXj1DQcMoT22S3ROcLyY/rz0PWaWZ9ayWmad9g==",
+      "dev": true,
+      "dependencies": {
+        "deep-is": "^0.1.3",
+        "fast-levenshtein": "^2.0.6",
+        "levn": "^0.4.1",
+        "prelude-ls": "^1.2.1",
+        "type-check": "^0.4.0",
+        "word-wrap": "^1.2.5"
+      },
+      "engines": {
+        "node": ">= 0.8.0"
+      }
+    },
     "node_modules/ora": {
       "version": "6.3.1",
       "resolved": "https://registry.npmjs.org/ora/-/ora-6.3.1.tgz",
@@ -8413,6 +11285,17 @@
         "url": "https://github.com/sponsors/sindresorhus"
       }
     },
+    "node_modules/ora/node_modules/ansi-regex": {
+      "version": "6.0.1",
+      "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-6.0.1.tgz",
+      "integrity": "sha512-n5M855fKb2SsfMIiFFoVrABHJC8QtHwVx+mHWP3QcEqBHYienj5dHSgjbxtC0WEZXYt4wcD6zrQElDPhFuZgfA==",
+      "engines": {
+        "node": ">=12"
+      },
+      "funding": {
+        "url": "https://github.com/chalk/ansi-regex?sponsor=1"
+      }
+    },
     "node_modules/ora/node_modules/chalk": {
       "version": "5.3.0",
       "resolved": "https://registry.npmjs.org/chalk/-/chalk-5.3.0.tgz",
@@ -8424,6 +11307,20 @@
         "url": "https://github.com/chalk/chalk?sponsor=1"
       }
     },
+    "node_modules/ora/node_modules/strip-ansi": {
+      "version": "7.1.0",
+      "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-7.1.0.tgz",
+      "integrity": "sha512-iq6eVVI64nQQTRYq2KtEg2d2uU7LElhTJwsH4YzIHZshxlgZms/wIc4VoDQTlG/IvVIrBKG06CrZnp0qv7hkcQ==",
+      "dependencies": {
+        "ansi-regex": "^6.0.1"
+      },
+      "engines": {
+        "node": ">=12"
+      },
+      "funding": {
+        "url": "https://github.com/chalk/strip-ansi?sponsor=1"
+      }
+    },
     "node_modules/os-filter-obj": {
       "version": "2.0.0",
       "resolved": "https://registry.npmjs.org/os-filter-obj/-/os-filter-obj-2.0.0.tgz",
@@ -8445,6 +11342,14 @@
         "node": ">=8"
       }
     },
+    "node_modules/p-debounce": {
+      "version": "4.0.0",
+      "resolved": "https://registry.npmjs.org/p-debounce/-/p-debounce-4.0.0.tgz",
+      "integrity": "sha512-4Ispi9I9qYGO4lueiLDhe4q4iK5ERK8reLsuzH6BPaXn53EGaua8H66PXIFGrW897hwjXp+pVLrm/DLxN0RF0A==",
+      "engines": {
+        "node": ">=12"
+      }
+    },
     "node_modules/p-finally": {
       "version": "1.0.0",
       "resolved": "https://registry.npmjs.org/p-finally/-/p-finally-1.0.0.tgz",
@@ -8455,40 +11360,39 @@
       }
     },
     "node_modules/p-limit": {
-      "version": "2.3.0",
-      "resolved": "https://registry.npmjs.org/p-limit/-/p-limit-2.3.0.tgz",
-      "integrity": "sha512-//88mFWSJx8lxCzwdAABTJL2MyWB12+eIY7MDL2SqLmAkeKU9qxRvWuSyTjm3FUmpBEMuFfckAIqEaVGUDxb6w==",
+      "version": "3.1.0",
+      "resolved": "https://registry.npmjs.org/p-limit/-/p-limit-3.1.0.tgz",
+      "integrity": "sha512-TYOanM3wGwNGsZN2cVTYPArw454xnXj5qmWF1bEoAc4+cU/ol7GVh7odevjp1FNHduHc3KZMcFduxU5Xc6uJRQ==",
       "dev": true,
       "dependencies": {
-        "p-try": "^2.0.0"
+        "yocto-queue": "^0.1.0"
       },
       "engines": {
-        "node": ">=6"
+        "node": ">=10"
       },
       "funding": {
         "url": "https://github.com/sponsors/sindresorhus"
       }
     },
     "node_modules/p-locate": {
-      "version": "4.1.0",
-      "resolved": "https://registry.npmjs.org/p-locate/-/p-locate-4.1.0.tgz",
-      "integrity": "sha512-R79ZZ/0wAxKGu3oYMlz8jy/kbhsNrS7SKZ7PxEHBgJ5+F2mtFW2fK2cOtBh1cHYkQsbzFV7I+EoRKe6Yt0oK7A==",
+      "version": "5.0.0",
+      "resolved": "https://registry.npmjs.org/p-locate/-/p-locate-5.0.0.tgz",
+      "integrity": "sha512-LaNjtRWUBY++zB5nE/NwcaoMylSPk+S+ZHNB1TzdbMJMny6dynpAGt7X/tl/QYq3TIeE6nxHppbo2LGymrG5Pw==",
       "dev": true,
       "dependencies": {
-        "p-limit": "^2.2.0"
+        "p-limit": "^3.0.2"
       },
       "engines": {
-        "node": ">=8"
+        "node": ">=10"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
       }
     },
-    "node_modules/p-try": {
-      "version": "2.2.0",
-      "resolved": "https://registry.npmjs.org/p-try/-/p-try-2.2.0.tgz",
-      "integrity": "sha512-R4nPAVTAU0B9D35/Gk3uJf/7XYbQcyohSKdvAxIRSNghFl4e71hVoGnBNQz9cWaXxO2I10KTC+3jMdvvoKw6dQ==",
-      "dev": true,
-      "engines": {
-        "node": ">=6"
-      }
+    "node_modules/package-json-from-dist": {
+      "version": "1.0.0",
+      "resolved": "https://registry.npmjs.org/package-json-from-dist/-/package-json-from-dist-1.0.0.tgz",
+      "integrity": "sha512-dATvCeZN/8wQsGywez1mzHtTlP22H8OEfPrVMLNr4/eGa+ijtLn/6M5f0dY8UKNrC2O9UCU6SSoG3qRKnt7STw=="
     },
     "node_modules/parent-module": {
       "version": "1.0.1",
@@ -8535,6 +11439,17 @@
         "url": "https://github.com/sponsors/sindresorhus"
       }
     },
+    "node_modules/parse-ms": {
+      "version": "3.0.0",
+      "resolved": "https://registry.npmjs.org/parse-ms/-/parse-ms-3.0.0.tgz",
+      "integrity": "sha512-Tpb8Z7r7XbbtBTrM9UhpkzzaMrqA2VXMT3YChzYltwV3P3pM6t8wl7TvpMnSTosz1aQAdVib7kdoys7vYOPerw==",
+      "engines": {
+        "node": ">=12"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
+      }
+    },
     "node_modules/parse5": {
       "version": "7.1.2",
       "resolved": "https://registry.npmjs.org/parse5/-/parse5-7.1.2.tgz",
@@ -8571,13 +11486,21 @@
         "node": ">=8"
       }
     },
+    "node_modules/path-is-absolute": {
+      "version": "1.0.1",
+      "resolved": "https://registry.npmjs.org/path-is-absolute/-/path-is-absolute-1.0.1.tgz",
+      "integrity": "sha512-AVbw3UJ2e9bq64vSaS9Am0fje1Pa8pbGqTTsmXfaIiMpnr5DlDhfJOuLj9Sf95ZPVDAUerDfEk88MPmPe7UCQg==",
+      "optional": true,
+      "engines": {
+        "node": ">=0.10.0"
+      }
+    },
     "node_modules/path-key": {
-      "version": "2.0.1",
-      "resolved": "https://registry.npmjs.org/path-key/-/path-key-2.0.1.tgz",
-      "integrity": "sha512-fEHGKCSmUSDPv4uoj8AlD+joPlq3peND+HRYyxFz4KPw4z926S/b8rIuFs2FYJg3BwsxJf6A9/3eIdLaYC+9Dw==",
-      "dev": true,
+      "version": "3.1.1",
+      "resolved": "https://registry.npmjs.org/path-key/-/path-key-3.1.1.tgz",
+      "integrity": "sha512-ojmeN0qd+y0jszEtoY48r0Peq5dwMEkIlCOu6Q5f41lfkswXuKtYrhgoTpLnyIcHm24Uhqx+5Tqm2InSwLhE6Q==",
       "engines": {
-        "node": ">=4"
+        "node": ">=8"
       }
     },
     "node_modules/path-parse": {
@@ -8586,24 +11509,24 @@
       "integrity": "sha512-LDJzPVEEEPR+y48z93A0Ed0yXb8pAByGWo/k5YYdYgpY2/2EsOsksJrq7lOHxryrVOn1ejG6oAp8ahvOIQD8sw=="
     },
     "node_modules/path-scurry": {
-      "version": "1.10.1",
-      "resolved": "https://registry.npmjs.org/path-scurry/-/path-scurry-1.10.1.tgz",
-      "integrity": "sha512-MkhCqzzBEpPvxxQ71Md0b1Kk51W01lrYvlMzSUaIzNsODdd7mqhiimSZlr+VegAz5Z6Vzt9Xg2ttE//XBhH3EQ==",
+      "version": "1.11.1",
+      "resolved": "https://registry.npmjs.org/path-scurry/-/path-scurry-1.11.1.tgz",
+      "integrity": "sha512-Xa4Nw17FS9ApQFJ9umLiJS4orGjm7ZzwUrwamcGQuHSzDyth9boKDaycYdDcZDuqYATXw4HFXgaqWTctW/v1HA==",
       "dependencies": {
-        "lru-cache": "^9.1.1 || ^10.0.0",
+        "lru-cache": "^10.2.0",
         "minipass": "^5.0.0 || ^6.0.2 || ^7.0.0"
       },
       "engines": {
-        "node": ">=16 || 14 >=14.17"
+        "node": ">=16 || 14 >=14.18"
       },
       "funding": {
         "url": "https://github.com/sponsors/isaacs"
       }
     },
     "node_modules/path-scurry/node_modules/lru-cache": {
-      "version": "10.2.0",
-      "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-10.2.0.tgz",
-      "integrity": "sha512-2bIM8x+VAf6JT4bKAljS1qUWgMsqZRPGJS6FSahIMPVvctcNhyVp7AJu7quxOW9jwkryBReKZY5tY5JYv2n/7Q==",
+      "version": "10.2.2",
+      "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-10.2.2.tgz",
+      "integrity": "sha512-9hp3Vp2/hFQUiIwKo8XCeFVnrg8Pk3TYNPIR7tJADKi5YfcF7vEaK7avFHTlSy3kOKYaJQaalfEo6YuXdceBOQ==",
       "engines": {
         "node": "14 || >=16.14"
       }
@@ -8616,6 +11539,32 @@
         "node": ">=8"
       }
     },
+    "node_modules/path2d": {
+      "version": "0.2.0",
+      "resolved": "https://registry.npmjs.org/path2d/-/path2d-0.2.0.tgz",
+      "integrity": "sha512-KdPAykQX6kmLSOO6Jpu2KNcCED7CKjmaBNGGNuctOsG0hgYO1OdYQaan6cYXJiG0WmXOwZZPILPBimu5QAIw3A==",
+      "optional": true,
+      "engines": {
+        "node": ">=6"
+      }
+    },
+    "node_modules/pathe": {
+      "version": "1.1.2",
+      "resolved": "https://registry.npmjs.org/pathe/-/pathe-1.1.2.tgz",
+      "integrity": "sha512-whLdWMYL2TwI08hn8/ZqAbrVemu0LNaNNJZX73O6qaIdCTfXutsLhMkjdENX0qhsQ9uIimo4/aQOmXkoon2nDQ=="
+    },
+    "node_modules/pdfjs-dist": {
+      "version": "4.3.136",
+      "resolved": "https://registry.npmjs.org/pdfjs-dist/-/pdfjs-dist-4.3.136.tgz",
+      "integrity": "sha512-gzfnt1qc4yA+U46golPGYtU4WM2ssqP2MvFjKga8GEKOrEnzRPrA/9jogLLPYHiA3sGBPJ+p7BdAq+ytmw3jEg==",
+      "engines": {
+        "node": ">=18"
+      },
+      "optionalDependencies": {
+        "canvas": "^2.11.2",
+        "path2d": "^0.2.0"
+      }
+    },
     "node_modules/peek-readable": {
       "version": "5.0.0",
       "resolved": "https://registry.npmjs.org/peek-readable/-/peek-readable-5.0.0.tgz",
@@ -8630,9 +11579,9 @@
       }
     },
     "node_modules/picocolors": {
-      "version": "1.0.0",
-      "resolved": "https://registry.npmjs.org/picocolors/-/picocolors-1.0.0.tgz",
-      "integrity": "sha512-1fygroTLlHu66zi26VoTDv8yRgm0Fccecssto+MhsZ0D/DGW2sm8E8AjW7NU5VVTRt5GxbeZ5qBuJr+HyLYkjQ=="
+      "version": "1.0.1",
+      "resolved": "https://registry.npmjs.org/picocolors/-/picocolors-1.0.1.tgz",
+      "integrity": "sha512-anP1Z8qwhkbmu7MFP5iTt+wQKXgwzf7zTyGlcdzabySa9vd0Xt392U0rVmz9poOaBj0uHJKyyo9/upk0HrEQew=="
     },
     "node_modules/picomatch": {
       "version": "2.3.1",
@@ -8661,13 +11610,20 @@
         "node": ">= 6"
       }
     },
+    "node_modules/piscina": {
+      "version": "4.6.0",
+      "resolved": "https://registry.npmjs.org/piscina/-/piscina-4.6.0.tgz",
+      "integrity": "sha512-VofazM7TCa/2cYhbtZQFyxJJIKe1JYZ5JBTxGMOo770CYupdVpHNvMrX+fuL+mACQ10ISWbzXFBmYjZvzELG5w==",
+      "optionalDependencies": {
+        "nice-napi": "^1.0.2"
+      }
+    },
     "node_modules/playwright": {
-      "version": "1.41.2",
-      "resolved": "https://registry.npmjs.org/playwright/-/playwright-1.41.2.tgz",
-      "integrity": "sha512-v0bOa6H2GJChDL8pAeLa/LZC4feoAMbSQm1/jF/ySsWWoaNItvrMP7GEkvEEFyCTUYKMxjQKaTSg5up7nR6/8A==",
-      "dev": true,
+      "version": "1.44.1",
+      "resolved": "https://registry.npmjs.org/playwright/-/playwright-1.44.1.tgz",
+      "integrity": "sha512-qr/0UJ5CFAtloI3avF95Y0L1xQo6r3LQArLIg/z/PoGJ6xa+EwzrwO5lpNr/09STxdHuUoP2mvuELJS+hLdtgg==",
       "dependencies": {
-        "playwright-core": "1.41.2"
+        "playwright-core": "1.44.1"
       },
       "bin": {
         "playwright": "cli.js"
@@ -8680,10 +11636,9 @@
       }
     },
     "node_modules/playwright-core": {
-      "version": "1.41.2",
-      "resolved": "https://registry.npmjs.org/playwright-core/-/playwright-core-1.41.2.tgz",
-      "integrity": "sha512-VaTvwCA4Y8kxEe+kfm2+uUUw5Lubf38RxF7FpBxLPmGe5sdNkSg5e3ChEigaGrX7qdqT3pt2m/98LiyvU2x6CA==",
-      "dev": true,
+      "version": "1.44.1",
+      "resolved": "https://registry.npmjs.org/playwright-core/-/playwright-core-1.44.1.tgz",
+      "integrity": "sha512-wh0JWtYTrhv1+OSsLPgFzGzt67Y7BE/ZS3jEqgGBlp2ppp1ZDj8c+9IARNW4dwf1poq5MgHreEM2KV/GuR4cFA==",
       "bin": {
         "playwright-core": "cli.js"
       },
@@ -8692,9 +11647,9 @@
       }
     },
     "node_modules/postcss": {
-      "version": "8.4.34",
-      "resolved": "https://registry.npmjs.org/postcss/-/postcss-8.4.34.tgz",
-      "integrity": "sha512-4eLTO36woPSocqZ1zIrFD2K1v6wH7pY1uBh0JIM2KKfrVtGvPFiAku6aNOP0W1Wr9qwnaCsF0Z+CrVnryB2A8Q==",
+      "version": "8.4.38",
+      "resolved": "https://registry.npmjs.org/postcss/-/postcss-8.4.38.tgz",
+      "integrity": "sha512-Wglpdk03BSfXkHoQa3b/oulrotAkwrlLDRSOb9D0bN86FdRyE9lppSp33aHNPgBa0JKCoB+drFLZkQoRRYae5A==",
       "funding": [
         {
           "type": "opencollective",
@@ -8712,7 +11667,7 @@
       "dependencies": {
         "nanoid": "^3.3.7",
         "picocolors": "^1.0.0",
-        "source-map-js": "^1.0.2"
+        "source-map-js": "^1.2.0"
       },
       "engines": {
         "node": "^10 || ^12 || >=14"
@@ -8787,19 +11742,14 @@
       }
     },
     "node_modules/postcss-load-config/node_modules/lilconfig": {
-      "version": "3.0.0",
-      "resolved": "https://registry.npmjs.org/lilconfig/-/lilconfig-3.0.0.tgz",
-      "integrity": "sha512-K2U4W2Ff5ibV7j7ydLr+zLAkIg5JJ4lPn1Ltsdt+Tz/IjQ8buJ55pZAxoP34lqIiwtF9iAvtLv3JGv7CAyAg+g==",
+      "version": "3.1.2",
+      "resolved": "https://registry.npmjs.org/lilconfig/-/lilconfig-3.1.2.tgz",
+      "integrity": "sha512-eop+wDAvpItUys0FWkHIKeC9ybYrTGbU41U5K7+bttZZeohvnY7M9dZ5kB21GNWiFT2q1OoPTvncPCgSOVO5ow==",
       "engines": {
         "node": ">=14"
-      }
-    },
-    "node_modules/postcss-load-config/node_modules/yaml": {
-      "version": "2.3.4",
-      "resolved": "https://registry.npmjs.org/yaml/-/yaml-2.3.4.tgz",
-      "integrity": "sha512-8aAvwVUSHpfEqTQ4w/KMlf3HcRdt50E5ODIQJBw1fQ5RL34xabzxtUlzTXVqc4rkZsPbvrXKWnABCD7kWSmocA==",
-      "engines": {
-        "node": ">= 14"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/antonk52"
       }
     },
     "node_modules/postcss-nested": {
@@ -8821,9 +11771,9 @@
       }
     },
     "node_modules/postcss-nested/node_modules/postcss-selector-parser": {
-      "version": "6.0.15",
-      "resolved": "https://registry.npmjs.org/postcss-selector-parser/-/postcss-selector-parser-6.0.15.tgz",
-      "integrity": "sha512-rEYkQOMUCEMhsKbK66tbEU9QVIxbhN18YiniAwA7XQYTVBqrBy+P2p5JcdqsHgKM2zWylp8d7J6eszocfds5Sw==",
+      "version": "6.1.0",
+      "resolved": "https://registry.npmjs.org/postcss-selector-parser/-/postcss-selector-parser-6.1.0.tgz",
+      "integrity": "sha512-UMz42UD0UY0EApS0ZL9o1XnLhSTtvvvLe5Dc2H2O56fvRZi+KulDyf5ctDhhtYJBGKStV2FL1fy6253cmLgqVQ==",
       "dependencies": {
         "cssesc": "^3.0.0",
         "util-deprecate": "^1.0.2"
@@ -8850,16 +11800,54 @@
       "resolved": "https://registry.npmjs.org/postcss-value-parser/-/postcss-value-parser-4.2.0.tgz",
       "integrity": "sha512-1NNCs6uurfkVbeXG4S8JFT9t19m45ICnif8zWLd5oPSZ50QnwMfK+H3jv408d4jw/7Bttv5axS5IiHoLaVNHeQ=="
     },
+    "node_modules/postcss/node_modules/nanoid": {
+      "version": "3.3.7",
+      "resolved": "https://registry.npmjs.org/nanoid/-/nanoid-3.3.7.tgz",
+      "integrity": "sha512-eSRppjcPIatRIMC1U6UngP8XFcz8MQWGQdt1MTBQ7NaAmvXDfvNxbvWV3x2y6CdEUciCSsDHDQZbhYaB8QEo2g==",
+      "funding": [
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/ai"
+        }
+      ],
+      "bin": {
+        "nanoid": "bin/nanoid.cjs"
+      },
+      "engines": {
+        "node": "^10 || ^12 || ^13.7 || ^14 || >=15.0.1"
+      }
+    },
+    "node_modules/posthog-node": {
+      "version": "3.6.3",
+      "resolved": "https://registry.npmjs.org/posthog-node/-/posthog-node-3.6.3.tgz",
+      "integrity": "sha512-JB+ei0LkwE+rKHyW5z79Nd1jUaGxU6TvkfjFqY9vQaHxU5aU8dRl0UUaEmZdZbHwjp3WmXCBQQRNyimwbNQfCw==",
+      "dependencies": {
+        "axios": "^1.6.2",
+        "rusha": "^0.8.14"
+      },
+      "engines": {
+        "node": ">=15.0.0"
+      }
+    },
+    "node_modules/prelude-ls": {
+      "version": "1.2.1",
+      "resolved": "https://registry.npmjs.org/prelude-ls/-/prelude-ls-1.2.1.tgz",
+      "integrity": "sha512-vkcDPrRZo1QZLbn5RLGPpg/WmIQ65qoWWhcGKf/b5eplkkarX0m9z8ppCat4mlOqUsWpyNuYgO3VRyrYHSzX5g==",
+      "dev": true,
+      "engines": {
+        "node": ">= 0.8.0"
+      }
+    },
     "node_modules/prettier": {
-      "version": "2.8.8",
-      "resolved": "https://registry.npmjs.org/prettier/-/prettier-2.8.8.tgz",
-      "integrity": "sha512-tdN8qQGvNjw4CHbY+XXk0JgCXn9QiF21a55rBe5LJAU+kDyC4WQn4+awm2Xfk2lQMk5fKup9XgzTZtGkjBdP9Q==",
+      "version": "3.3.2",
+      "resolved": "https://registry.npmjs.org/prettier/-/prettier-3.3.2.tgz",
+      "integrity": "sha512-rAVeHYMcv8ATV5d508CFdn+8/pHPpXeIid1DdrPwXnaAdH7cqjVbpJaT5eq4yRAFU/lsbwYwSF/n5iNrdJHPQA==",
       "dev": true,
       "bin": {
-        "prettier": "bin-prettier.js"
+        "prettier": "bin/prettier.cjs"
       },
       "engines": {
-        "node": ">=10.13.0"
+        "node": ">=14"
       },
       "funding": {
         "url": "https://github.com/prettier/prettier?sponsor=1"
@@ -8886,20 +11874,20 @@
       }
     },
     "node_modules/prettier-plugin-tailwindcss": {
-      "version": "0.3.0",
-      "resolved": "https://registry.npmjs.org/prettier-plugin-tailwindcss/-/prettier-plugin-tailwindcss-0.3.0.tgz",
-      "integrity": "sha512-009/Xqdy7UmkcTBpwlq7jsViDqXAYSOMLDrHAdTMlVZOrKfM2o9Ci7EMWTMZ7SkKBFTG04UM9F9iM2+4i6boDA==",
+      "version": "0.6.5",
+      "resolved": "https://registry.npmjs.org/prettier-plugin-tailwindcss/-/prettier-plugin-tailwindcss-0.6.5.tgz",
+      "integrity": "sha512-axfeOArc/RiGHjOIy9HytehlC0ZLeMaqY09mm8YCkMzznKiDkwFzOpBvtuhuv3xG5qB73+Mj7OCe2j/L1ryfuQ==",
       "dev": true,
       "engines": {
-        "node": ">=12.17.0"
+        "node": ">=14.21.3"
       },
       "peerDependencies": {
         "@ianvs/prettier-plugin-sort-imports": "*",
         "@prettier/plugin-pug": "*",
         "@shopify/prettier-plugin-liquid": "*",
-        "@shufo/prettier-plugin-blade": "*",
         "@trivago/prettier-plugin-sort-imports": "*",
-        "prettier": ">=2.2.0",
+        "@zackad/prettier-plugin-twig-melody": "*",
+        "prettier": "^3.0",
         "prettier-plugin-astro": "*",
         "prettier-plugin-css-order": "*",
         "prettier-plugin-import-sort": "*",
@@ -8907,9 +11895,9 @@
         "prettier-plugin-marko": "*",
         "prettier-plugin-organize-attributes": "*",
         "prettier-plugin-organize-imports": "*",
+        "prettier-plugin-sort-imports": "*",
         "prettier-plugin-style-order": "*",
-        "prettier-plugin-svelte": "*",
-        "prettier-plugin-twig-melody": "*"
+        "prettier-plugin-svelte": "*"
       },
       "peerDependenciesMeta": {
         "@ianvs/prettier-plugin-sort-imports": {
@@ -8921,10 +11909,10 @@
         "@shopify/prettier-plugin-liquid": {
           "optional": true
         },
-        "@shufo/prettier-plugin-blade": {
+        "@trivago/prettier-plugin-sort-imports": {
           "optional": true
         },
-        "@trivago/prettier-plugin-sort-imports": {
+        "@zackad/prettier-plugin-twig-melody": {
           "optional": true
         },
         "prettier-plugin-astro": {
@@ -8948,13 +11936,13 @@
         "prettier-plugin-organize-imports": {
           "optional": true
         },
-        "prettier-plugin-style-order": {
+        "prettier-plugin-sort-imports": {
           "optional": true
         },
-        "prettier-plugin-svelte": {
+        "prettier-plugin-style-order": {
           "optional": true
         },
-        "prettier-plugin-twig-melody": {
+        "prettier-plugin-svelte": {
           "optional": true
         }
       }
@@ -8964,6 +11952,7 @@
       "resolved": "https://registry.npmjs.org/pretty-format/-/pretty-format-27.5.1.tgz",
       "integrity": "sha512-Qb1gy5OrP5+zDf2Bvnzdl3jsTf1qXVMazbvCoKhtKqVs4/YK4ozX4gKQJJVyNe+cajNPn0KoC0MC3FUmaHWEmQ==",
       "dev": true,
+      "peer": true,
       "dependencies": {
         "ansi-regex": "^5.0.1",
         "ansi-styles": "^5.0.0",
@@ -8978,6 +11967,7 @@
       "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-5.2.0.tgz",
       "integrity": "sha512-Cxwpt2SfTzTtXcfOlzGEee8O+c+MmUgGrNiBcXnuWxuFJHe6a5Hz7qwhwe5OgaSYI0IJvkLqWX1ASG+cJOkEiA==",
       "dev": true,
+      "peer": true,
       "engines": {
         "node": ">=10"
       },
@@ -8985,178 +11975,20 @@
         "url": "https://github.com/chalk/ansi-styles?sponsor=1"
       }
     },
-    "node_modules/pretty-format/node_modules/react-is": {
-      "version": "17.0.2",
-      "resolved": "https://registry.npmjs.org/react-is/-/react-is-17.0.2.tgz",
-      "integrity": "sha512-w2GsyukL62IJnlaff/nRegPQR94C/XXamvMWmSHRJ4y7Ts/4ocGRmTHvOs8PSE6pB3dWOrD/nueuU5sduBsQ4w==",
-      "dev": true
-    },
-    "node_modules/pretty-quick": {
-      "version": "3.3.1",
-      "resolved": "https://registry.npmjs.org/pretty-quick/-/pretty-quick-3.3.1.tgz",
-      "integrity": "sha512-3b36UXfYQ+IXXqex6mCca89jC8u0mYLqFAN5eTQKoXO6oCQYcIVYZEB/5AlBHI7JPYygReM2Vv6Vom/Gln7fBg==",
-      "dev": true,
-      "dependencies": {
-        "execa": "^4.1.0",
-        "find-up": "^4.1.0",
-        "ignore": "^5.3.0",
-        "mri": "^1.2.0",
-        "picocolors": "^1.0.0",
-        "picomatch": "^3.0.1",
-        "tslib": "^2.6.2"
-      },
-      "bin": {
-        "pretty-quick": "dist/cli.js"
-      },
-      "engines": {
-        "node": ">=10.13"
-      },
-      "peerDependencies": {
-        "prettier": "^2.0.0"
-      }
-    },
-    "node_modules/pretty-quick/node_modules/cross-spawn": {
-      "version": "7.0.3",
-      "resolved": "https://registry.npmjs.org/cross-spawn/-/cross-spawn-7.0.3.tgz",
-      "integrity": "sha512-iRDPJKUPVEND7dHPO8rkbOnPpyDygcDFtWjpeWNCgy8WP2rXcxXL8TskReQl6OrB2G7+UJrags1q15Fudc7G6w==",
-      "dev": true,
-      "dependencies": {
-        "path-key": "^3.1.0",
-        "shebang-command": "^2.0.0",
-        "which": "^2.0.1"
-      },
-      "engines": {
-        "node": ">= 8"
-      }
-    },
-    "node_modules/pretty-quick/node_modules/execa": {
-      "version": "4.1.0",
-      "resolved": "https://registry.npmjs.org/execa/-/execa-4.1.0.tgz",
-      "integrity": "sha512-j5W0//W7f8UxAn8hXVnwG8tLwdiUy4FJLcSupCg6maBYZDpyBvTApK7KyuI4bKj8KOh1r2YH+6ucuYtJv1bTZA==",
-      "dev": true,
-      "dependencies": {
-        "cross-spawn": "^7.0.0",
-        "get-stream": "^5.0.0",
-        "human-signals": "^1.1.1",
-        "is-stream": "^2.0.0",
-        "merge-stream": "^2.0.0",
-        "npm-run-path": "^4.0.0",
-        "onetime": "^5.1.0",
-        "signal-exit": "^3.0.2",
-        "strip-final-newline": "^2.0.0"
-      },
-      "engines": {
-        "node": ">=10"
-      },
-      "funding": {
-        "url": "https://github.com/sindresorhus/execa?sponsor=1"
-      }
-    },
-    "node_modules/pretty-quick/node_modules/get-stream": {
-      "version": "5.2.0",
-      "resolved": "https://registry.npmjs.org/get-stream/-/get-stream-5.2.0.tgz",
-      "integrity": "sha512-nBF+F1rAZVCu/p7rjzgA+Yb4lfYXrpl7a6VmJrU8wF9I1CKvP/QwPNZHnOlwbTkY6dvtFIzFMSyQXbLoTQPRpA==",
-      "dev": true,
+    "node_modules/pretty-ms": {
+      "version": "8.0.0",
+      "resolved": "https://registry.npmjs.org/pretty-ms/-/pretty-ms-8.0.0.tgz",
+      "integrity": "sha512-ASJqOugUF1bbzI35STMBUpZqdfYKlJugy6JBziGi2EE+AL5JPJGSzvpeVXojxrr0ViUYoToUjb5kjSEGf7Y83Q==",
       "dependencies": {
-        "pump": "^3.0.0"
-      },
-      "engines": {
-        "node": ">=8"
+        "parse-ms": "^3.0.0"
       },
-      "funding": {
-        "url": "https://github.com/sponsors/sindresorhus"
-      }
-    },
-    "node_modules/pretty-quick/node_modules/human-signals": {
-      "version": "1.1.1",
-      "resolved": "https://registry.npmjs.org/human-signals/-/human-signals-1.1.1.tgz",
-      "integrity": "sha512-SEQu7vl8KjNL2eoGBLF3+wAjpsNfA9XMlXAYj/3EdaNfAlxKthD1xjEQfGOUhllCGGJVNY34bRr6lPINhNjyZw==",
-      "dev": true,
-      "engines": {
-        "node": ">=8.12.0"
-      }
-    },
-    "node_modules/pretty-quick/node_modules/is-stream": {
-      "version": "2.0.1",
-      "resolved": "https://registry.npmjs.org/is-stream/-/is-stream-2.0.1.tgz",
-      "integrity": "sha512-hFoiJiTl63nn+kstHGBtewWSKnQLpyb155KHheA1l39uvtO9nWIop1p3udqPcUd/xbF1VLMO4n7OI6p7RbngDg==",
-      "dev": true,
       "engines": {
-        "node": ">=8"
+        "node": ">=14.16"
       },
       "funding": {
         "url": "https://github.com/sponsors/sindresorhus"
       }
     },
-    "node_modules/pretty-quick/node_modules/npm-run-path": {
-      "version": "4.0.1",
-      "resolved": "https://registry.npmjs.org/npm-run-path/-/npm-run-path-4.0.1.tgz",
-      "integrity": "sha512-S48WzZW777zhNIrn7gxOlISNAqi9ZC/uQFnRdbeIHhZhCA6UqpkOT8T1G7BvfdgP4Er8gF4sUbaS0i7QvIfCWw==",
-      "dev": true,
-      "dependencies": {
-        "path-key": "^3.0.0"
-      },
-      "engines": {
-        "node": ">=8"
-      }
-    },
-    "node_modules/pretty-quick/node_modules/path-key": {
-      "version": "3.1.1",
-      "resolved": "https://registry.npmjs.org/path-key/-/path-key-3.1.1.tgz",
-      "integrity": "sha512-ojmeN0qd+y0jszEtoY48r0Peq5dwMEkIlCOu6Q5f41lfkswXuKtYrhgoTpLnyIcHm24Uhqx+5Tqm2InSwLhE6Q==",
-      "dev": true,
-      "engines": {
-        "node": ">=8"
-      }
-    },
-    "node_modules/pretty-quick/node_modules/picomatch": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/picomatch/-/picomatch-3.0.1.tgz",
-      "integrity": "sha512-I3EurrIQMlRc9IaAZnqRR044Phh2DXY+55o7uJ0V+hYZAcQYSuFWsc9q5PvyDHUSCe1Qxn/iBz+78s86zWnGag==",
-      "dev": true,
-      "engines": {
-        "node": ">=10"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/jonschlinkert"
-      }
-    },
-    "node_modules/pretty-quick/node_modules/shebang-command": {
-      "version": "2.0.0",
-      "resolved": "https://registry.npmjs.org/shebang-command/-/shebang-command-2.0.0.tgz",
-      "integrity": "sha512-kHxr2zZpYtdmrN1qDjrrX/Z1rR1kG8Dx+gkpK1G4eXmvXswmcE1hTWBWYUzlraYw1/yZp6YuDY77YtvbN0dmDA==",
-      "dev": true,
-      "dependencies": {
-        "shebang-regex": "^3.0.0"
-      },
-      "engines": {
-        "node": ">=8"
-      }
-    },
-    "node_modules/pretty-quick/node_modules/shebang-regex": {
-      "version": "3.0.0",
-      "resolved": "https://registry.npmjs.org/shebang-regex/-/shebang-regex-3.0.0.tgz",
-      "integrity": "sha512-7++dFhtcx3353uBaq8DDR4NuxBetBzC7ZQOhmTQInHEd6bSrXdiEyzCvG07Z44UYdLShWUyXt5M/yhz8ekcb1A==",
-      "dev": true,
-      "engines": {
-        "node": ">=8"
-      }
-    },
-    "node_modules/pretty-quick/node_modules/which": {
-      "version": "2.0.2",
-      "resolved": "https://registry.npmjs.org/which/-/which-2.0.2.tgz",
-      "integrity": "sha512-BLI3Tl1TW3Pvl70l3yq3Y64i+awpwXqsGBYWkkqMtnbXgrMD+yj7rhW0kuEDxzJaYXGjEW5ogapKNMEKNMjibA==",
-      "dev": true,
-      "dependencies": {
-        "isexe": "^2.0.0"
-      },
-      "bin": {
-        "node-which": "bin/node-which"
-      },
-      "engines": {
-        "node": ">= 8"
-      }
-    },
     "node_modules/prismjs": {
       "version": "1.29.0",
       "resolved": "https://registry.npmjs.org/prismjs/-/prismjs-1.29.0.tgz",
@@ -9177,6 +12009,14 @@
         "node": ">= 6"
       }
     },
+    "node_modules/prompts/node_modules/kleur": {
+      "version": "3.0.3",
+      "resolved": "https://registry.npmjs.org/kleur/-/kleur-3.0.3.tgz",
+      "integrity": "sha512-eTIzlVOSUR+JxdDFepEYcBMtZ9Qqdef+rnzWdRZuMbOywu5tO2w2N7rqjoANZ5k9vywhL6Br1VRjUIgTQx4E8w==",
+      "engines": {
+        "node": ">=6"
+      }
+    },
     "node_modules/prop-types": {
       "version": "15.8.1",
       "resolved": "https://registry.npmjs.org/prop-types/-/prop-types-15.8.1.tgz",
@@ -9193,9 +12033,9 @@
       "integrity": "sha512-24e6ynE2H+OKt4kqsOvNd8kBpV65zoxbA4BVsEOB3ARVWQki/DHzaUoC5KuON/BiccDaCCTZBuOcfZs70kR8bQ=="
     },
     "node_modules/property-information": {
-      "version": "6.4.1",
-      "resolved": "https://registry.npmjs.org/property-information/-/property-information-6.4.1.tgz",
-      "integrity": "sha512-OHYtXfu5aI2sS2LWFSN5rgJjrQ4pCy8i1jubJLe2QvMF8JJ++HXTUIVWFLfXJoaOfvYYjk2SN8J2wFUWIGXT4w==",
+      "version": "6.5.0",
+      "resolved": "https://registry.npmjs.org/property-information/-/property-information-6.5.0.tgz",
+      "integrity": "sha512-PgTgs/BlvHxOu8QuEN7wi5A0OmXaBcHpmCSTehcs6Uuu9IkDIEo13Hy7n898RHfrQ49vKCoGeWZSaAK01nwVig==",
       "funding": {
         "type": "github",
         "url": "https://github.com/sponsors/wooorm"
@@ -9272,9 +12112,9 @@
       }
     },
     "node_modules/react": {
-      "version": "18.2.0",
-      "resolved": "https://registry.npmjs.org/react/-/react-18.2.0.tgz",
-      "integrity": "sha512-/3IjMdb2L9QbBdWiW5e3P2/npwMBaU9mHCSCUzNln0ZCYbcfTsGbTJrU/kGemdH2IWmB2ioZ+zkxtmq6g09fGQ==",
+      "version": "18.3.1",
+      "resolved": "https://registry.npmjs.org/react/-/react-18.3.1.tgz",
+      "integrity": "sha512-wS+hAgJShR0KhEvPJArfuPVN1+Hz1t0Y6n5jLrGQbkb4urgPE/0Rve+1kMB1v/oWgHgm4WIcV+i7F2pTVj+2iQ==",
       "dependencies": {
         "loose-envify": "^1.1.0"
       },
@@ -9283,15 +12123,15 @@
       }
     },
     "node_modules/react-ace": {
-      "version": "10.1.0",
-      "resolved": "https://registry.npmjs.org/react-ace/-/react-ace-10.1.0.tgz",
-      "integrity": "sha512-VkvUjZNhdYTuKOKQpMIZi7uzZZVgzCjM7cLYu6F64V0mejY8a2XTyPUIMszC6A4trbeMIHbK5fYFcT/wkP/8VA==",
+      "version": "11.0.1",
+      "resolved": "https://registry.npmjs.org/react-ace/-/react-ace-11.0.1.tgz",
+      "integrity": "sha512-ulk2851Fx2j59AAahZHTe7rmQ5bITW1xytskAt11F8dv3rPLtdwBXCyT2qSbRnJvOq8UpuAhWO4/JhKGqQBEDA==",
       "dependencies": {
-        "ace-builds": "^1.4.14",
+        "ace-builds": "^1.32.8",
         "diff-match-patch": "^1.0.5",
         "lodash.get": "^4.4.2",
         "lodash.isequal": "^4.5.0",
-        "prop-types": "^15.7.2"
+        "prop-types": "^15.8.1"
       },
       "peerDependencies": {
         "react": "^0.13.0 || ^0.14.0 || ^15.0.1 || ^16.0.0 || ^17.0.0 || ^18.0.0",
@@ -9299,34 +12139,34 @@
       }
     },
     "node_modules/react-cookie": {
-      "version": "4.1.1",
-      "resolved": "https://registry.npmjs.org/react-cookie/-/react-cookie-4.1.1.tgz",
-      "integrity": "sha512-ffn7Y7G4bXiFbnE+dKhHhbP+b8I34mH9jqnm8Llhj89zF4nPxPutxHT1suUqMeCEhLDBI7InYwf1tpaSoK5w8A==",
+      "version": "7.1.4",
+      "resolved": "https://registry.npmjs.org/react-cookie/-/react-cookie-7.1.4.tgz",
+      "integrity": "sha512-wDxxa/HYaSXSMlyWJvJ5uZTzIVtQTPf1gMksFgwAz/2/W3lCtY8r4OChCXMPE7wax0PAdMY97UkNJedGv7KnDw==",
       "dependencies": {
-        "@types/hoist-non-react-statics": "^3.0.1",
-        "hoist-non-react-statics": "^3.0.0",
-        "universal-cookie": "^4.0.0"
+        "@types/hoist-non-react-statics": "^3.3.5",
+        "hoist-non-react-statics": "^3.3.2",
+        "universal-cookie": "^7.0.0"
       },
       "peerDependencies": {
         "react": ">= 16.3.0"
       }
     },
     "node_modules/react-dom": {
-      "version": "18.2.0",
-      "resolved": "https://registry.npmjs.org/react-dom/-/react-dom-18.2.0.tgz",
-      "integrity": "sha512-6IMTriUmvsjHUjNtEDudZfuDQUoWXVxKHhlEGSk81n4YFS+r/Kl99wXiwlVXtPBtJenozv2P+hxDsw9eA7Xo6g==",
+      "version": "18.3.1",
+      "resolved": "https://registry.npmjs.org/react-dom/-/react-dom-18.3.1.tgz",
+      "integrity": "sha512-5m4nQKp+rZRb09LNH59GM4BxTh9251/ylbKIbpe7TpGxfJ+9kv6BLkLBXIjjspbgbnIBNqlI23tRnTWT0snUIw==",
       "dependencies": {
         "loose-envify": "^1.1.0",
-        "scheduler": "^0.23.0"
+        "scheduler": "^0.23.2"
       },
       "peerDependencies": {
-        "react": "^18.2.0"
+        "react": "^18.3.1"
       }
     },
     "node_modules/react-error-boundary": {
-      "version": "4.0.12",
-      "resolved": "https://registry.npmjs.org/react-error-boundary/-/react-error-boundary-4.0.12.tgz",
-      "integrity": "sha512-kJdxdEYlb7CPC1A0SeUY38cHpjuu6UkvzKiAmqmOFL21VRfMhOcWxTCBgLVCO0VEMh9JhFNcVaXlV4/BTpiwOA==",
+      "version": "4.0.13",
+      "resolved": "https://registry.npmjs.org/react-error-boundary/-/react-error-boundary-4.0.13.tgz",
+      "integrity": "sha512-b6PwbdSv8XeOSYvjt8LpgpKrZ0yGdtZokYwkwV2wlcZbxgopHX/hgPl5VgpnoVOWd868n1hktM8Qm4b+02MiLQ==",
       "dependencies": {
         "@babel/runtime": "^7.12.5"
       },
@@ -9334,18 +12174,44 @@
         "react": ">=16.13.1"
       }
     },
+    "node_modules/react-hook-form": {
+      "version": "7.52.0",
+      "resolved": "https://registry.npmjs.org/react-hook-form/-/react-hook-form-7.52.0.tgz",
+      "integrity": "sha512-mJX506Xc6mirzLsmXUJyqlAI3Kj9Ph2RhplYhUVffeOQSnubK2uVqBFOBJmvKikvbFV91pxVXmDiR+QMF19x6A==",
+      "engines": {
+        "node": ">=12.22.0"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/react-hook-form"
+      },
+      "peerDependencies": {
+        "react": "^16.8.0 || ^17 || ^18 || ^19"
+      }
+    },
+    "node_modules/react-hotkeys-hook": {
+      "version": "4.5.0",
+      "resolved": "https://registry.npmjs.org/react-hotkeys-hook/-/react-hotkeys-hook-4.5.0.tgz",
+      "integrity": "sha512-Samb85GSgAWFQNvVt3PS90LPPGSf9mkH/r4au81ZP1yOIFayLC3QAvqTgGtJ8YEDMXtPmaVBs6NgipHO6h4Mug==",
+      "peerDependencies": {
+        "react": ">=16.8.1",
+        "react-dom": ">=16.8.1"
+      }
+    },
     "node_modules/react-icons": {
-      "version": "4.12.0",
-      "resolved": "https://registry.npmjs.org/react-icons/-/react-icons-4.12.0.tgz",
-      "integrity": "sha512-IBaDuHiShdZqmfc/TwHu6+d6k2ltNCf3AszxNmjJc1KUfXdEeRJOKyNvLmAHaarhzGmTSVygNdyu8/opXv2gaw==",
+      "version": "5.2.1",
+      "resolved": "https://registry.npmjs.org/react-icons/-/react-icons-5.2.1.tgz",
+      "integrity": "sha512-zdbW5GstTzXaVKvGSyTaBalt7HSfuK5ovrzlpyiWHAFXndXTdd/1hdDHI4xBM1Mn7YriT6aqESucFl9kEXzrdw==",
       "peerDependencies": {
         "react": "*"
       }
     },
     "node_modules/react-is": {
-      "version": "18.2.0",
-      "resolved": "https://registry.npmjs.org/react-is/-/react-is-18.2.0.tgz",
-      "integrity": "sha512-xWGDIW6x921xtzPkhiULtthJHoJvBbF3q26fzloPCK0hsvxtPVelvftw3zjbHWSkR2km9Z+4uxbDDK/6Zw9B8w=="
+      "version": "17.0.2",
+      "resolved": "https://registry.npmjs.org/react-is/-/react-is-17.0.2.tgz",
+      "integrity": "sha512-w2GsyukL62IJnlaff/nRegPQR94C/XXamvMWmSHRJ4y7Ts/4ocGRmTHvOs8PSE6pB3dWOrD/nueuU5sduBsQ4w==",
+      "dev": true,
+      "peer": true
     },
     "node_modules/react-laag": {
       "version": "2.0.5",
@@ -9389,12 +12255,60 @@
         "react": ">=16"
       }
     },
+    "node_modules/react-markdown/node_modules/react-is": {
+      "version": "18.3.1",
+      "resolved": "https://registry.npmjs.org/react-is/-/react-is-18.3.1.tgz",
+      "integrity": "sha512-/LLMVyas0ljjAtoYiPqYiL8VWXzUUdThrmU5+n20DZv+a+ClRoevUzw5JxU+Ieh5/c87ytoTBV9G1FiKfNJdmg=="
+    },
+    "node_modules/react-pdf": {
+      "version": "9.0.0",
+      "resolved": "https://registry.npmjs.org/react-pdf/-/react-pdf-9.0.0.tgz",
+      "integrity": "sha512-J+pza8R2p9oNEOJOHIQJI4o5rFK7ji7bBl2IvsHvz1OOyphvuzVDo5tOJwWAFAbxYauCH3Kt8jOvcMJUOpxYZQ==",
+      "dependencies": {
+        "clsx": "^2.0.0",
+        "dequal": "^2.0.3",
+        "make-cancellable-promise": "^1.3.1",
+        "make-event-props": "^1.6.0",
+        "merge-refs": "^1.3.0",
+        "pdfjs-dist": "4.3.136",
+        "tiny-invariant": "^1.0.0",
+        "warning": "^4.0.0"
+      },
+      "funding": {
+        "url": "https://github.com/wojtekmaj/react-pdf?sponsor=1"
+      },
+      "peerDependencies": {
+        "@types/react": "^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0",
+        "react": "^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0",
+        "react-dom": "^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/react-reconciler": {
+      "version": "0.29.2",
+      "resolved": "https://registry.npmjs.org/react-reconciler/-/react-reconciler-0.29.2.tgz",
+      "integrity": "sha512-zZQqIiYgDCTP/f1N/mAR10nJGrPD2ZR+jDSEsKWJHYC7Cm2wodlwbR3upZRdC3cjIjSlTLNVyO7Iu0Yy7t2AYg==",
+      "dependencies": {
+        "loose-envify": "^1.1.0",
+        "scheduler": "^0.23.2"
+      },
+      "engines": {
+        "node": ">=0.10.0"
+      },
+      "peerDependencies": {
+        "react": "^18.3.1"
+      }
+    },
     "node_modules/react-remove-scroll": {
-      "version": "2.5.5",
-      "resolved": "https://registry.npmjs.org/react-remove-scroll/-/react-remove-scroll-2.5.5.tgz",
-      "integrity": "sha512-ImKhrzJJsyXJfBZ4bzu8Bwpka14c/fQt0k+cyFp/PBhTfyDnU5hjOtM4AG/0AMyy8oKzOTR0lDgJIM7pYXI0kw==",
+      "version": "2.5.7",
+      "resolved": "https://registry.npmjs.org/react-remove-scroll/-/react-remove-scroll-2.5.7.tgz",
+      "integrity": "sha512-FnrTWO4L7/Bhhf3CYBNArEG/yROV0tKmTv7/3h9QCFvH6sndeFf1wPqOcbFVu5VAulS5dV1wGT3GZZ/1GawqiA==",
       "dependencies": {
-        "react-remove-scroll-bar": "^2.3.3",
+        "react-remove-scroll-bar": "^2.3.4",
         "react-style-singleton": "^2.2.1",
         "tslib": "^2.1.0",
         "use-callback-ref": "^1.3.0",
@@ -9414,9 +12328,9 @@
       }
     },
     "node_modules/react-remove-scroll-bar": {
-      "version": "2.3.4",
-      "resolved": "https://registry.npmjs.org/react-remove-scroll-bar/-/react-remove-scroll-bar-2.3.4.tgz",
-      "integrity": "sha512-63C4YQBUt0m6ALadE9XV56hV8BgJWDmmTPY758iIJjfQKt2nYwoUrPk0LXRXcB/yIj82T1/Ixfdpdk68LwIB0A==",
+      "version": "2.3.6",
+      "resolved": "https://registry.npmjs.org/react-remove-scroll-bar/-/react-remove-scroll-bar-2.3.6.tgz",
+      "integrity": "sha512-DtSYaao4mBmX+HDo5YWYdBWQwYIQQshUV/dVxFxK+KM26Wjwp1gZ6rv6OC3oujI6Bfu6Xyg3TwK533AQutsn/g==",
       "dependencies": {
         "react-style-singleton": "^2.2.1",
         "tslib": "^2.0.0"
@@ -9435,11 +12349,11 @@
       }
     },
     "node_modules/react-router": {
-      "version": "6.22.0",
-      "resolved": "https://registry.npmjs.org/react-router/-/react-router-6.22.0.tgz",
-      "integrity": "sha512-q2yemJeg6gw/YixRlRnVx6IRJWZD6fonnfZhN1JIOhV2iJCPeRNSH3V1ISwHf+JWcESzLC3BOLD1T07tmO5dmg==",
+      "version": "6.23.1",
+      "resolved": "https://registry.npmjs.org/react-router/-/react-router-6.23.1.tgz",
+      "integrity": "sha512-fzcOaRF69uvqbbM7OhvQyBTFDVrrGlsFdS3AL+1KfIBtGETibHzi3FkoTRyiDJnWNc2VxrfvR+657ROHjaNjqQ==",
       "dependencies": {
-        "@remix-run/router": "1.15.0"
+        "@remix-run/router": "1.16.1"
       },
       "engines": {
         "node": ">=14.0.0"
@@ -9449,12 +12363,12 @@
       }
     },
     "node_modules/react-router-dom": {
-      "version": "6.22.0",
-      "resolved": "https://registry.npmjs.org/react-router-dom/-/react-router-dom-6.22.0.tgz",
-      "integrity": "sha512-z2w+M4tH5wlcLmH3BMMOMdrtrJ9T3oJJNsAlBJbwk+8Syxd5WFJ7J5dxMEW0/GEXD1BBis4uXRrNIz3mORr0ag==",
+      "version": "6.23.1",
+      "resolved": "https://registry.npmjs.org/react-router-dom/-/react-router-dom-6.23.1.tgz",
+      "integrity": "sha512-utP+K+aSTtEdbWpC+4gxhdlPFwuEfDKq8ZrPFU65bbRJY+l706qjR7yaidBpo3MSeA/fzwbXWbKBI6ftOnP3OQ==",
       "dependencies": {
-        "@remix-run/router": "1.15.0",
-        "react-router": "6.22.0"
+        "@remix-run/router": "1.16.1",
+        "react-router": "6.23.1"
       },
       "engines": {
         "node": ">=14.0.0"
@@ -9487,87 +12401,39 @@
       }
     },
     "node_modules/react-syntax-highlighter": {
-      "version": "15.5.0",
-      "resolved": "https://registry.npmjs.org/react-syntax-highlighter/-/react-syntax-highlighter-15.5.0.tgz",
-      "integrity": "sha512-+zq2myprEnQmH5yw6Gqc8lD55QHnpKaU8TOcFeC/Lg/MQSs8UknEA0JC4nTZGFAXC2J2Hyj/ijJ7NlabyPi2gg==",
-      "dependencies": {
-        "@babel/runtime": "^7.3.1",
-        "highlight.js": "^10.4.1",
-        "lowlight": "^1.17.0",
-        "prismjs": "^1.27.0",
-        "refractor": "^3.6.0"
-      },
-      "peerDependencies": {
-        "react": ">= 0.14.0"
-      }
-    },
-    "node_modules/react-tabs": {
-      "version": "6.0.2",
-      "resolved": "https://registry.npmjs.org/react-tabs/-/react-tabs-6.0.2.tgz",
-      "integrity": "sha512-aQXTKolnM28k3KguGDBSAbJvcowOQr23A+CUJdzJtOSDOtTwzEaJA+1U4KwhNL9+Obe+jFS7geuvA7ICQPXOnQ==",
-      "dependencies": {
-        "clsx": "^2.0.0",
-        "prop-types": "^15.5.0"
-      },
-      "peerDependencies": {
-        "react": "^18.0.0"
-      }
-    },
-    "node_modules/react-tabs/node_modules/clsx": {
-      "version": "2.1.0",
-      "resolved": "https://registry.npmjs.org/clsx/-/clsx-2.1.0.tgz",
-      "integrity": "sha512-m3iNNWpd9rl3jvvcBnu70ylMdrXt8Vlq4HYadnU5fwcOtvkSQWPmj7amUcDT2qYI7risszBjI5AUIUox9D16pg==",
-      "engines": {
-        "node": ">=6"
-      }
-    },
-    "node_modules/react-tooltip": {
-      "version": "5.26.0",
-      "resolved": "https://registry.npmjs.org/react-tooltip/-/react-tooltip-5.26.0.tgz",
-      "integrity": "sha512-UBbwy3fo1KYDwRCOWwM6AEfQsk9shgVfNkXFqgwS33QHplzg7xao/7mX/6wd+lE6KSZzhUNTkB5TNk9SMaBV/A==",
-      "dependencies": {
-        "@floating-ui/dom": "^1.0.0",
-        "classnames": "^2.3.0"
-      },
-      "peerDependencies": {
-        "react": ">=16.14.0",
-        "react-dom": ">=16.14.0"
-      }
-    },
-    "node_modules/react-transition-group": {
-      "version": "4.4.5",
-      "resolved": "https://registry.npmjs.org/react-transition-group/-/react-transition-group-4.4.5.tgz",
-      "integrity": "sha512-pZcd1MCJoiKiBR2NRxeCRg13uCXbydPnmB4EOeRrY7480qNWO8IIgQG6zlDkm6uRMsURXPuKq0GWtiM59a5Q6g==",
+      "version": "15.5.0",
+      "resolved": "https://registry.npmjs.org/react-syntax-highlighter/-/react-syntax-highlighter-15.5.0.tgz",
+      "integrity": "sha512-+zq2myprEnQmH5yw6Gqc8lD55QHnpKaU8TOcFeC/Lg/MQSs8UknEA0JC4nTZGFAXC2J2Hyj/ijJ7NlabyPi2gg==",
       "dependencies": {
-        "@babel/runtime": "^7.5.5",
-        "dom-helpers": "^5.0.1",
-        "loose-envify": "^1.4.0",
-        "prop-types": "^15.6.2"
+        "@babel/runtime": "^7.3.1",
+        "highlight.js": "^10.4.1",
+        "lowlight": "^1.17.0",
+        "prismjs": "^1.27.0",
+        "refractor": "^3.6.0"
       },
       "peerDependencies": {
-        "react": ">=16.6.0",
-        "react-dom": ">=16.6.0"
+        "react": ">= 0.14.0"
       }
     },
     "node_modules/react18-json-view": {
-      "version": "0.2.7",
-      "resolved": "https://registry.npmjs.org/react18-json-view/-/react18-json-view-0.2.7.tgz",
-      "integrity": "sha512-u1H0ZrjrYZUuXEyjcMU+/lVbFi890SNacTcYQT+e7/TI7OeczHyLwcngY4JbtZgfhwjIU078O1+NKh97IVVwZw==",
+      "version": "0.2.8",
+      "resolved": "https://registry.npmjs.org/react18-json-view/-/react18-json-view-0.2.8.tgz",
+      "integrity": "sha512-uJlcf5PEDaba6yTqfcDAcMSYECZ15SLcpP94mLFTa/+fa1kZANjERqKzS7YxxsrGP4+jDxt6sIaglR0PbQcKPw==",
       "peerDependencies": {
         "react": ">=16.8.0"
       }
     },
     "node_modules/reactflow": {
-      "version": "11.10.3",
-      "resolved": "https://registry.npmjs.org/reactflow/-/reactflow-11.10.3.tgz",
-      "integrity": "sha512-DGNrTdkWjZtPOhj5MV8fiWWGkJo+otMVdoJ9l67bQL+Xf+8NkJ4AHmRXoYIxtgcENzwTr5WTAIJlswV9i91cyw==",
+      "version": "11.11.3",
+      "resolved": "https://registry.npmjs.org/reactflow/-/reactflow-11.11.3.tgz",
+      "integrity": "sha512-wusd1Xpn1wgsSEv7UIa4NNraCwH9syBtubBy4xVNXg3b+CDKM+sFaF3hnMx0tr0et4km9urIDdNvwm34QiZong==",
       "dependencies": {
-        "@reactflow/background": "11.3.8",
-        "@reactflow/controls": "11.2.8",
-        "@reactflow/core": "11.10.3",
-        "@reactflow/minimap": "11.7.8",
-        "@reactflow/node-resizer": "2.2.8",
-        "@reactflow/node-toolbar": "1.3.8"
+        "@reactflow/background": "11.3.13",
+        "@reactflow/controls": "11.2.13",
+        "@reactflow/core": "11.11.3",
+        "@reactflow/minimap": "11.7.13",
+        "@reactflow/node-resizer": "2.2.13",
+        "@reactflow/node-toolbar": "1.3.13"
       },
       "peerDependencies": {
         "react": ">=17",
@@ -9622,6 +12488,29 @@
         "node": ">=8.10.0"
       }
     },
+    "node_modules/recast": {
+      "version": "0.23.9",
+      "resolved": "https://registry.npmjs.org/recast/-/recast-0.23.9.tgz",
+      "integrity": "sha512-Hx/BGIbwj+Des3+xy5uAtAbdCyqK9y9wbBcDFDYanLS9JnMqf7OeF87HQwUimE87OEc72mr6tkKUKMBBL+hF9Q==",
+      "dependencies": {
+        "ast-types": "^0.16.1",
+        "esprima": "~4.0.0",
+        "source-map": "~0.6.1",
+        "tiny-invariant": "^1.3.3",
+        "tslib": "^2.0.1"
+      },
+      "engines": {
+        "node": ">= 4"
+      }
+    },
+    "node_modules/recast/node_modules/source-map": {
+      "version": "0.6.1",
+      "resolved": "https://registry.npmjs.org/source-map/-/source-map-0.6.1.tgz",
+      "integrity": "sha512-UjgapumWlbMhkBgzT7Ykc5YXUT46F0iKu8SGXq0bcwP5dz/h0Plj6enJqjz1Zbq2l5WaqYnrVbwWOWMyF3F47g==",
+      "engines": {
+        "node": ">=0.10.0"
+      }
+    },
     "node_modules/redent": {
       "version": "3.0.0",
       "resolved": "https://registry.npmjs.org/redent/-/redent-3.0.0.tgz",
@@ -9662,23 +12551,6 @@
       "resolved": "https://registry.npmjs.org/regenerator-runtime/-/regenerator-runtime-0.14.1.tgz",
       "integrity": "sha512-dYnhHh0nJoMfnkZs6GmmhFknAGRrLznOu5nc9ML+EJxGvrx6H7teuevqVqCuPcPK//3eDrrjQhehXVx9cnkGdw=="
     },
-    "node_modules/regexp.prototype.flags": {
-      "version": "1.5.1",
-      "resolved": "https://registry.npmjs.org/regexp.prototype.flags/-/regexp.prototype.flags-1.5.1.tgz",
-      "integrity": "sha512-sy6TXMN+hnP/wMy+ISxg3krXx7BAtWVO4UouuCN/ziM9UEne0euamVNafDfvC83bRNr95y0V5iijeDQFUNpvrg==",
-      "dev": true,
-      "dependencies": {
-        "call-bind": "^1.0.2",
-        "define-properties": "^1.2.0",
-        "set-function-name": "^2.0.0"
-      },
-      "engines": {
-        "node": ">= 0.4"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/ljharb"
-      }
-    },
     "node_modules/rehype-mathjax": {
       "version": "4.0.3",
       "resolved": "https://registry.npmjs.org/rehype-mathjax/-/rehype-mathjax-4.0.3.tgz",
@@ -9714,14 +12586,95 @@
       }
     },
     "node_modules/remark-math": {
-      "version": "5.1.1",
-      "resolved": "https://registry.npmjs.org/remark-math/-/remark-math-5.1.1.tgz",
-      "integrity": "sha512-cE5T2R/xLVtfFI4cCePtiRn+e6jKMtFDR3P8V3qpv8wpKjwvHoBA4eJzvX+nVrnlNy0911bdGmuspCSwetfYHw==",
+      "version": "6.0.0",
+      "resolved": "https://registry.npmjs.org/remark-math/-/remark-math-6.0.0.tgz",
+      "integrity": "sha512-MMqgnP74Igy+S3WwnhQ7kqGlEerTETXMvJhrUzDikVZ2/uogJCb+WHUg97hK9/jcfc0dkD73s3LN8zU49cTEtA==",
       "dependencies": {
-        "@types/mdast": "^3.0.0",
-        "mdast-util-math": "^2.0.0",
-        "micromark-extension-math": "^2.0.0",
-        "unified": "^10.0.0"
+        "@types/mdast": "^4.0.0",
+        "mdast-util-math": "^3.0.0",
+        "micromark-extension-math": "^3.0.0",
+        "unified": "^11.0.0"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
+      }
+    },
+    "node_modules/remark-math/node_modules/@types/mdast": {
+      "version": "4.0.4",
+      "resolved": "https://registry.npmjs.org/@types/mdast/-/mdast-4.0.4.tgz",
+      "integrity": "sha512-kGaNbPh1k7AFzgpud/gMdvIm5xuECykRR+JnWKQno9TAXVa6WIVCGTPvYGekIDL4uwCZQSYbUxNBSb1aUo79oA==",
+      "dependencies": {
+        "@types/unist": "*"
+      }
+    },
+    "node_modules/remark-math/node_modules/@types/unist": {
+      "version": "3.0.2",
+      "resolved": "https://registry.npmjs.org/@types/unist/-/unist-3.0.2.tgz",
+      "integrity": "sha512-dqId9J8K/vGi5Zr7oo212BGii5m3q5Hxlkwy3WpYuKPklmBEvsbMYYyLxAQpSffdLl/gdW0XUpKWFvYmyoWCoQ=="
+    },
+    "node_modules/remark-math/node_modules/is-plain-obj": {
+      "version": "4.1.0",
+      "resolved": "https://registry.npmjs.org/is-plain-obj/-/is-plain-obj-4.1.0.tgz",
+      "integrity": "sha512-+Pgi+vMuUNkJyExiMBt5IlFoMyKnr5zhJ4Uspz58WOhBF5QoIZkFyNHIbBAtHwzVAgk5RtndVNsDRN61/mmDqg==",
+      "engines": {
+        "node": ">=12"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
+      }
+    },
+    "node_modules/remark-math/node_modules/unified": {
+      "version": "11.0.5",
+      "resolved": "https://registry.npmjs.org/unified/-/unified-11.0.5.tgz",
+      "integrity": "sha512-xKvGhPWw3k84Qjh8bI3ZeJjqnyadK+GEFtazSfZv/rKeTkTjOJho6mFqh2SM96iIcZokxiOpg78GazTSg8+KHA==",
+      "dependencies": {
+        "@types/unist": "^3.0.0",
+        "bail": "^2.0.0",
+        "devlop": "^1.0.0",
+        "extend": "^3.0.0",
+        "is-plain-obj": "^4.0.0",
+        "trough": "^2.0.0",
+        "vfile": "^6.0.0"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
+      }
+    },
+    "node_modules/remark-math/node_modules/unist-util-stringify-position": {
+      "version": "4.0.0",
+      "resolved": "https://registry.npmjs.org/unist-util-stringify-position/-/unist-util-stringify-position-4.0.0.tgz",
+      "integrity": "sha512-0ASV06AAoKCDkS2+xw5RXJywruurpbC4JZSm7nr7MOt1ojAzvyyaO+UxZf18j8FCF6kmzCZKcAgN/yu2gm2XgQ==",
+      "dependencies": {
+        "@types/unist": "^3.0.0"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
+      }
+    },
+    "node_modules/remark-math/node_modules/vfile": {
+      "version": "6.0.1",
+      "resolved": "https://registry.npmjs.org/vfile/-/vfile-6.0.1.tgz",
+      "integrity": "sha512-1bYqc7pt6NIADBJ98UiG0Bn/CHIVOoZ/IyEkqIruLg0mE1BKzkOXY2D6CSqQIcKqgadppE5lrxgWXJmXd7zZJw==",
+      "dependencies": {
+        "@types/unist": "^3.0.0",
+        "unist-util-stringify-position": "^4.0.0",
+        "vfile-message": "^4.0.0"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
+      }
+    },
+    "node_modules/remark-math/node_modules/vfile-message": {
+      "version": "4.0.2",
+      "resolved": "https://registry.npmjs.org/vfile-message/-/vfile-message-4.0.2.tgz",
+      "integrity": "sha512-jRDZ1IMLttGj41KcZvlrYAaI3CfqpLpfpf+Mfig13viT6NKvRzWZ+lXz0Y5D60w6uJIBAOGq9mSHf0gktF0duw==",
+      "dependencies": {
+        "@types/unist": "^3.0.0",
+        "unist-util-stringify-position": "^4.0.0"
       },
       "funding": {
         "type": "opencollective",
@@ -9757,10 +12710,10 @@
         "url": "https://opencollective.com/unified"
       }
     },
-    "node_modules/require-from-string": {
-      "version": "2.0.2",
-      "resolved": "https://registry.npmjs.org/require-from-string/-/require-from-string-2.0.2.tgz",
-      "integrity": "sha512-Xf0nWe6RseziFMu+Ap9biiUbmplq6S9/p+7w7YXP/JBHhrUDDUhwa+vANyubuqfZWTveU//DYVGsDG7RKL/vEw==",
+    "node_modules/require-directory": {
+      "version": "2.1.1",
+      "resolved": "https://registry.npmjs.org/require-directory/-/require-directory-2.1.1.tgz",
+      "integrity": "sha512-fGxEI7+wsG9xrvdjsrlmL22OMTTiHRwAMroiEeMgq8gzoLC/PQr7RsRDSTLUg/bZAZtF+TVIkHc6/4RIKrui+Q==",
       "engines": {
         "node": ">=0.10.0"
       }
@@ -9836,18 +12789,53 @@
         "node": ">=0.10.0"
       }
     },
+    "node_modules/rimraf": {
+      "version": "3.0.2",
+      "resolved": "https://registry.npmjs.org/rimraf/-/rimraf-3.0.2.tgz",
+      "integrity": "sha512-JZkJMZkAGFFPP2YqXZXPbMlMBgsxzE8ILs4lMIX/2o0L9UBw9O/Y3o6wFw/i9YLapcUJWwqbi3kdxIPdC62TIA==",
+      "deprecated": "Rimraf versions prior to v4 are no longer supported",
+      "optional": true,
+      "dependencies": {
+        "glob": "^7.1.3"
+      },
+      "bin": {
+        "rimraf": "bin.js"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/isaacs"
+      }
+    },
     "node_modules/rollup": {
-      "version": "3.29.4",
-      "resolved": "https://registry.npmjs.org/rollup/-/rollup-3.29.4.tgz",
-      "integrity": "sha512-oWzmBZwvYrU0iJHtDmhsm662rC15FRXmcjCk1xD771dFDx5jJ02ufAQQTn0etB2emNk4J9EZg/yWKpsn9BWGRw==",
+      "version": "4.18.0",
+      "resolved": "https://registry.npmjs.org/rollup/-/rollup-4.18.0.tgz",
+      "integrity": "sha512-QmJz14PX3rzbJCN1SG4Xe/bAAX2a6NpCP8ab2vfu2GiUr8AQcr2nCV/oEO3yneFarB67zk8ShlIyWb2LGTb3Sg==",
+      "dependencies": {
+        "@types/estree": "1.0.5"
+      },
       "bin": {
         "rollup": "dist/bin/rollup"
       },
       "engines": {
-        "node": ">=14.18.0",
+        "node": ">=18.0.0",
         "npm": ">=8.0.0"
       },
       "optionalDependencies": {
+        "@rollup/rollup-android-arm-eabi": "4.18.0",
+        "@rollup/rollup-android-arm64": "4.18.0",
+        "@rollup/rollup-darwin-arm64": "4.18.0",
+        "@rollup/rollup-darwin-x64": "4.18.0",
+        "@rollup/rollup-linux-arm-gnueabihf": "4.18.0",
+        "@rollup/rollup-linux-arm-musleabihf": "4.18.0",
+        "@rollup/rollup-linux-arm64-gnu": "4.18.0",
+        "@rollup/rollup-linux-arm64-musl": "4.18.0",
+        "@rollup/rollup-linux-powerpc64le-gnu": "4.18.0",
+        "@rollup/rollup-linux-riscv64-gnu": "4.18.0",
+        "@rollup/rollup-linux-s390x-gnu": "4.18.0",
+        "@rollup/rollup-linux-x64-gnu": "4.18.0",
+        "@rollup/rollup-linux-x64-musl": "4.18.0",
+        "@rollup/rollup-win32-arm64-msvc": "4.18.0",
+        "@rollup/rollup-win32-ia32-msvc": "4.18.0",
+        "@rollup/rollup-win32-x64-msvc": "4.18.0",
         "fsevents": "~2.3.2"
       }
     },
@@ -9873,6 +12861,11 @@
         "queue-microtask": "^1.2.2"
       }
     },
+    "node_modules/rusha": {
+      "version": "0.8.14",
+      "resolved": "https://registry.npmjs.org/rusha/-/rusha-0.8.14.tgz",
+      "integrity": "sha512-cLgakCUf6PedEu15t8kbsjnwIFFR2D4RfL+W3iWFJ4iac7z4B0ZI8fxy4R3J956kAI68HclCFGL8MPoUVC3qVA=="
+    },
     "node_modules/sade": {
       "version": "1.8.1",
       "resolved": "https://registry.npmjs.org/sade/-/sade-1.8.1.tgz",
@@ -9920,26 +12913,19 @@
       }
     },
     "node_modules/scheduler": {
-      "version": "0.23.0",
-      "resolved": "https://registry.npmjs.org/scheduler/-/scheduler-0.23.0.tgz",
-      "integrity": "sha512-CtuThmgHNg7zIZWAXi3AsyIzA3n4xx7aNyjwC2VJldO2LMVDhFK+63xGqq6CsJH4rTAt6/M+N4GhZiDYPx9eUw==",
+      "version": "0.23.2",
+      "resolved": "https://registry.npmjs.org/scheduler/-/scheduler-0.23.2.tgz",
+      "integrity": "sha512-UOShsPwz7NrMUqhR6t0hWjFduvOzbtv7toDH1/hIrfRNIDBnnBWd0CwJTGvTpngVlmwGCdP9/Zl/tVrDqcuYzQ==",
       "dependencies": {
         "loose-envify": "^1.1.0"
       }
     },
     "node_modules/semver": {
-      "version": "7.6.0",
-      "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.0.tgz",
-      "integrity": "sha512-EnwXhrlwXMk9gKu5/flx5sv/an57AkRplG3hTK68W7FRDN+k+OWBj65M7719OkA82XLBxrcX0KSHj+X5COhOVg==",
-      "dev": true,
-      "dependencies": {
-        "lru-cache": "^6.0.0"
-      },
+      "version": "6.3.1",
+      "resolved": "https://registry.npmjs.org/semver/-/semver-6.3.1.tgz",
+      "integrity": "sha512-BR7VvDCVHO+q2xBEWskxS6DJE1qRnb7DxzUrogb71CWoSficBxYsiAGd+Kl0mmq/MprG9yArRkyrQxTO6XjMzA==",
       "bin": {
         "semver": "bin/semver.js"
-      },
-      "engines": {
-        "node": ">=10"
       }
     },
     "node_modules/semver-regex": {
@@ -9969,71 +12955,46 @@
         "url": "https://github.com/sponsors/sindresorhus"
       }
     },
-    "node_modules/semver/node_modules/lru-cache": {
-      "version": "6.0.0",
-      "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-6.0.0.tgz",
-      "integrity": "sha512-Jo6dJ04CmSjuznwJSS3pUeWmd/H0ffTlkXXgwZi+eq1UCmqQwCh+eLsYOYCwY991i2Fah4h1BEMCx4qThGbsiA==",
+    "node_modules/semver-truncate/node_modules/semver": {
+      "version": "7.6.2",
+      "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.2.tgz",
+      "integrity": "sha512-FNAIBWCx9qcRhoHcgcJ0gvU7SN1lYU2ZXuSfl04bSC5OpvDHFyJCjdNHomPXxjQlCBU67YW64PzY7/VIEH7F2w==",
       "dev": true,
-      "dependencies": {
-        "yallist": "^4.0.0"
+      "bin": {
+        "semver": "bin/semver.js"
       },
       "engines": {
         "node": ">=10"
       }
     },
-    "node_modules/semver/node_modules/yallist": {
-      "version": "4.0.0",
-      "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz",
-      "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A==",
-      "dev": true
-    },
-    "node_modules/set-function-length": {
-      "version": "1.2.1",
-      "resolved": "https://registry.npmjs.org/set-function-length/-/set-function-length-1.2.1.tgz",
-      "integrity": "sha512-j4t6ccc+VsKwYHso+kElc5neZpjtq9EnRICFZtWyBsLojhmeF/ZBd/elqm22WJh/BziDe/SBiOeAt0m2mfLD0g==",
-      "dev": true,
-      "dependencies": {
-        "define-data-property": "^1.1.2",
-        "es-errors": "^1.3.0",
-        "function-bind": "^1.1.2",
-        "get-intrinsic": "^1.2.3",
-        "gopd": "^1.0.1",
-        "has-property-descriptors": "^1.0.1"
-      },
-      "engines": {
-        "node": ">= 0.4"
-      }
-    },
-    "node_modules/set-function-name": {
-      "version": "2.0.1",
-      "resolved": "https://registry.npmjs.org/set-function-name/-/set-function-name-2.0.1.tgz",
-      "integrity": "sha512-tMNCiqYVkXIZgc2Hnoy2IvC/f8ezc5koaRFkCjrpWzGpCd3qbZXPzVy9MAZzK1ch/X0jvSkojys3oqJN0qCmdA==",
-      "dev": true,
-      "dependencies": {
-        "define-data-property": "^1.0.1",
-        "functions-have-names": "^1.2.3",
-        "has-property-descriptors": "^1.0.0"
-      },
-      "engines": {
-        "node": ">= 0.4"
-      }
+    "node_modules/set-blocking": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/set-blocking/-/set-blocking-2.0.0.tgz",
+      "integrity": "sha512-KiKBS8AnWGEyLzofFfmvKwpdPzqiy16LvQfK3yv/fVH7Bj13/wl3JSR1J+rfgRE9q7xUJK4qvgS8raSOeLUehw==",
+      "optional": true
     },
     "node_modules/shadcn-ui": {
-      "version": "0.2.3",
-      "resolved": "https://registry.npmjs.org/shadcn-ui/-/shadcn-ui-0.2.3.tgz",
-      "integrity": "sha512-Bf2y8d5VusDbCs5l/SRmFTJ2tW9oBvIDWL1xmmURKuxn8rznXApoTdflPJ+Q68zKFXmIh6cYd4cJ8I8nzOkoAQ==",
+      "version": "0.8.0",
+      "resolved": "https://registry.npmjs.org/shadcn-ui/-/shadcn-ui-0.8.0.tgz",
+      "integrity": "sha512-avqRgjJ6PIQQXdfvoCAWQpyLTLk6oHhtU5DQKmLeYcgu1ZIsgMqA9MKWAkr0HpEdCAenCCZvFbvJ2C2m5ZXRiA==",
       "dependencies": {
         "@antfu/ni": "^0.21.4",
+        "@babel/core": "^7.22.1",
+        "@babel/parser": "^7.22.6",
+        "@babel/plugin-transform-typescript": "^7.22.5",
         "chalk": "5.2.0",
         "commander": "^10.0.0",
         "cosmiconfig": "^8.1.3",
         "diff": "^5.1.0",
         "execa": "^7.0.0",
+        "fast-glob": "^3.3.2",
         "fs-extra": "^11.1.0",
         "https-proxy-agent": "^6.2.0",
+        "lodash.template": "^4.5.0",
         "node-fetch": "^3.3.0",
         "ora": "^6.1.2",
         "prompts": "^2.4.2",
+        "recast": "^0.23.2",
         "ts-morph": "^18.0.0",
         "tsconfig-paths": "^4.2.0",
         "zod": "^3.20.2"
@@ -10043,9 +13004,9 @@
       }
     },
     "node_modules/shadcn-ui/node_modules/agent-base": {
-      "version": "7.1.0",
-      "resolved": "https://registry.npmjs.org/agent-base/-/agent-base-7.1.0.tgz",
-      "integrity": "sha512-o/zjMZRhJxny7OyEF+Op8X+efiELC7k7yOjMzgfzVqOzXqkBkWI79YoTdOtsuWd5BWhAGAuOY/Xa6xpiaWXiNg==",
+      "version": "7.1.1",
+      "resolved": "https://registry.npmjs.org/agent-base/-/agent-base-7.1.1.tgz",
+      "integrity": "sha512-H0TSyFNDMomMNJQBn8wFV5YC/2eJ+VXECwOadZJT554xP6cODZHPX3H9QMQECxvrgiSOP1pHjy1sMWQVYJOUOA==",
       "dependencies": {
         "debug": "^4.3.4"
       },
@@ -10072,44 +13033,6 @@
         "node": ">=14"
       }
     },
-    "node_modules/shadcn-ui/node_modules/cosmiconfig": {
-      "version": "8.3.6",
-      "resolved": "https://registry.npmjs.org/cosmiconfig/-/cosmiconfig-8.3.6.tgz",
-      "integrity": "sha512-kcZ6+W5QzcJ3P1Mt+83OUv/oHFqZHIx8DuxG6eZ5RGMERoLqp4BuGjhHLYGK+Kf5XVkQvqBSmAy/nGWN3qDgEA==",
-      "dependencies": {
-        "import-fresh": "^3.3.0",
-        "js-yaml": "^4.1.0",
-        "parse-json": "^5.2.0",
-        "path-type": "^4.0.0"
-      },
-      "engines": {
-        "node": ">=14"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/d-fischer"
-      },
-      "peerDependencies": {
-        "typescript": ">=4.9.5"
-      },
-      "peerDependenciesMeta": {
-        "typescript": {
-          "optional": true
-        }
-      }
-    },
-    "node_modules/shadcn-ui/node_modules/cross-spawn": {
-      "version": "7.0.3",
-      "resolved": "https://registry.npmjs.org/cross-spawn/-/cross-spawn-7.0.3.tgz",
-      "integrity": "sha512-iRDPJKUPVEND7dHPO8rkbOnPpyDygcDFtWjpeWNCgy8WP2rXcxXL8TskReQl6OrB2G7+UJrags1q15Fudc7G6w==",
-      "dependencies": {
-        "path-key": "^3.1.0",
-        "shebang-command": "^2.0.0",
-        "which": "^2.0.1"
-      },
-      "engines": {
-        "node": ">= 8"
-      }
-    },
     "node_modules/shadcn-ui/node_modules/execa": {
       "version": "7.2.0",
       "resolved": "https://registry.npmjs.org/execa/-/execa-7.2.0.tgz",
@@ -10185,26 +13108,32 @@
         "url": "https://github.com/sponsors/sindresorhus"
       }
     },
-    "node_modules/shadcn-ui/node_modules/npm-run-path": {
-      "version": "5.2.0",
-      "resolved": "https://registry.npmjs.org/npm-run-path/-/npm-run-path-5.2.0.tgz",
-      "integrity": "sha512-W4/tgAXFqFA0iL7fk0+uQ3g7wkL8xJmx3XdK0VGb4cHW//eZTtKGvFBBoRKVTpY7n6ze4NL9ly7rgXcHufqXKg==",
+    "node_modules/shadcn-ui/node_modules/node-fetch": {
+      "version": "3.3.2",
+      "resolved": "https://registry.npmjs.org/node-fetch/-/node-fetch-3.3.2.tgz",
+      "integrity": "sha512-dRB78srN/l6gqWulah9SrxeYnxeddIG30+GOqK/9OlLVyLg3HPnr6SqOWTWOXKRwC2eGYCkZ59NNuSgvSrpgOA==",
       "dependencies": {
-        "path-key": "^4.0.0"
+        "data-uri-to-buffer": "^4.0.0",
+        "fetch-blob": "^3.1.4",
+        "formdata-polyfill": "^4.0.10"
       },
       "engines": {
         "node": "^12.20.0 || ^14.13.1 || >=16.0.0"
       },
       "funding": {
-        "url": "https://github.com/sponsors/sindresorhus"
+        "type": "opencollective",
+        "url": "https://opencollective.com/node-fetch"
       }
     },
-    "node_modules/shadcn-ui/node_modules/npm-run-path/node_modules/path-key": {
-      "version": "4.0.0",
-      "resolved": "https://registry.npmjs.org/path-key/-/path-key-4.0.0.tgz",
-      "integrity": "sha512-haREypq7xkM7ErfgIyA0z+Bj4AGKlMSdlQE2jvJo6huWD1EdkKYV+G/T4nq0YEF2vgTT8kqMFKo1uHn950r4SQ==",
+    "node_modules/shadcn-ui/node_modules/npm-run-path": {
+      "version": "5.3.0",
+      "resolved": "https://registry.npmjs.org/npm-run-path/-/npm-run-path-5.3.0.tgz",
+      "integrity": "sha512-ppwTtiJZq0O/ai0z7yfudtBpWIoxM8yE6nHi1X47eFR2EWORqfbu6CnPlNsjeN683eT0qG6H/Pyf9fCcvjnnnQ==",
+      "dependencies": {
+        "path-key": "^4.0.0"
+      },
       "engines": {
-        "node": ">=12"
+        "node": "^12.20.0 || ^14.13.1 || >=16.0.0"
       },
       "funding": {
         "url": "https://github.com/sponsors/sindresorhus"
@@ -10225,30 +13154,14 @@
       }
     },
     "node_modules/shadcn-ui/node_modules/path-key": {
-      "version": "3.1.1",
-      "resolved": "https://registry.npmjs.org/path-key/-/path-key-3.1.1.tgz",
-      "integrity": "sha512-ojmeN0qd+y0jszEtoY48r0Peq5dwMEkIlCOu6Q5f41lfkswXuKtYrhgoTpLnyIcHm24Uhqx+5Tqm2InSwLhE6Q==",
+      "version": "4.0.0",
+      "resolved": "https://registry.npmjs.org/path-key/-/path-key-4.0.0.tgz",
+      "integrity": "sha512-haREypq7xkM7ErfgIyA0z+Bj4AGKlMSdlQE2jvJo6huWD1EdkKYV+G/T4nq0YEF2vgTT8kqMFKo1uHn950r4SQ==",
       "engines": {
-        "node": ">=8"
-      }
-    },
-    "node_modules/shadcn-ui/node_modules/shebang-command": {
-      "version": "2.0.0",
-      "resolved": "https://registry.npmjs.org/shebang-command/-/shebang-command-2.0.0.tgz",
-      "integrity": "sha512-kHxr2zZpYtdmrN1qDjrrX/Z1rR1kG8Dx+gkpK1G4eXmvXswmcE1hTWBWYUzlraYw1/yZp6YuDY77YtvbN0dmDA==",
-      "dependencies": {
-        "shebang-regex": "^3.0.0"
+        "node": ">=12"
       },
-      "engines": {
-        "node": ">=8"
-      }
-    },
-    "node_modules/shadcn-ui/node_modules/shebang-regex": {
-      "version": "3.0.0",
-      "resolved": "https://registry.npmjs.org/shebang-regex/-/shebang-regex-3.0.0.tgz",
-      "integrity": "sha512-7++dFhtcx3353uBaq8DDR4NuxBetBzC7ZQOhmTQInHEd6bSrXdiEyzCvG07Z44UYdLShWUyXt5M/yhz8ekcb1A==",
-      "engines": {
-        "node": ">=8"
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
       }
     },
     "node_modules/shadcn-ui/node_modules/strip-final-newline": {
@@ -10262,72 +13175,103 @@
         "url": "https://github.com/sponsors/sindresorhus"
       }
     },
-    "node_modules/shadcn-ui/node_modules/which": {
-      "version": "2.0.2",
-      "resolved": "https://registry.npmjs.org/which/-/which-2.0.2.tgz",
-      "integrity": "sha512-BLI3Tl1TW3Pvl70l3yq3Y64i+awpwXqsGBYWkkqMtnbXgrMD+yj7rhW0kuEDxzJaYXGjEW5ogapKNMEKNMjibA==",
-      "dependencies": {
-        "isexe": "^2.0.0"
-      },
-      "bin": {
-        "node-which": "bin/node-which"
-      },
-      "engines": {
-        "node": ">= 8"
-      }
-    },
     "node_modules/shebang-command": {
-      "version": "1.2.0",
-      "resolved": "https://registry.npmjs.org/shebang-command/-/shebang-command-1.2.0.tgz",
-      "integrity": "sha512-EV3L1+UQWGor21OmnvojK36mhg+TyIKDh3iFBKBohr5xeXIhNBcx8oWdgkTEEQ+BEFFYdLRuqMfd5L84N1V5Vg==",
-      "dev": true,
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/shebang-command/-/shebang-command-2.0.0.tgz",
+      "integrity": "sha512-kHxr2zZpYtdmrN1qDjrrX/Z1rR1kG8Dx+gkpK1G4eXmvXswmcE1hTWBWYUzlraYw1/yZp6YuDY77YtvbN0dmDA==",
       "dependencies": {
-        "shebang-regex": "^1.0.0"
+        "shebang-regex": "^3.0.0"
       },
       "engines": {
-        "node": ">=0.10.0"
+        "node": ">=8"
       }
     },
-    "node_modules/shebang-regex": {
-      "version": "1.0.0",
-      "resolved": "https://registry.npmjs.org/shebang-regex/-/shebang-regex-1.0.0.tgz",
-      "integrity": "sha512-wpoSFAxys6b2a2wHZ1XpDSgD7N9iVjg29Ph9uV/uaP9Ex/KXlkTZTeddxDPSYQpgvzKLGJke2UU0AzoGCjNIvQ==",
-      "dev": true,
+    "node_modules/shebang-regex": {
+      "version": "3.0.0",
+      "resolved": "https://registry.npmjs.org/shebang-regex/-/shebang-regex-3.0.0.tgz",
+      "integrity": "sha512-7++dFhtcx3353uBaq8DDR4NuxBetBzC7ZQOhmTQInHEd6bSrXdiEyzCvG07Z44UYdLShWUyXt5M/yhz8ekcb1A==",
       "engines": {
-        "node": ">=0.10.0"
+        "node": ">=8"
       }
     },
     "node_modules/short-unique-id": {
-      "version": "4.4.4",
-      "resolved": "https://registry.npmjs.org/short-unique-id/-/short-unique-id-4.4.4.tgz",
-      "integrity": "sha512-oLF1NCmtbiTWl2SqdXZQbo5KM1b7axdp0RgQLq8qCBBLoq+o3A5wmLrNM6bZIh54/a8BJ3l69kTXuxwZ+XCYuw==",
+      "version": "5.2.0",
+      "resolved": "https://registry.npmjs.org/short-unique-id/-/short-unique-id-5.2.0.tgz",
+      "integrity": "sha512-cMGfwNyfDZ/nzJ2k2M+ClthBIh//GlZl1JEf47Uoa9XR11bz8Pa2T2wQO4bVrRdH48LrIDWJahQziKo3MjhsWg==",
       "bin": {
         "short-unique-id": "bin/short-unique-id",
         "suid": "bin/short-unique-id"
       }
     },
-    "node_modules/side-channel": {
-      "version": "1.0.5",
-      "resolved": "https://registry.npmjs.org/side-channel/-/side-channel-1.0.5.tgz",
-      "integrity": "sha512-QcgiIWV4WV7qWExbN5llt6frQB/lBven9pqliLXfGPB+K9ZYXxDozp0wLkHS24kWCm+6YXH/f0HhnObZnZOBnQ==",
-      "dev": true,
+    "node_modules/signal-exit": {
+      "version": "3.0.7",
+      "resolved": "https://registry.npmjs.org/signal-exit/-/signal-exit-3.0.7.tgz",
+      "integrity": "sha512-wnD2ZE+l+SPC/uoS0vXeE9L1+0wuaMqKlfz9AMUo38JsyLSBWSFcHR1Rri62LZc12vLr1gb3jl7iwQhgwpAbGQ=="
+    },
+    "node_modules/simple-concat": {
+      "version": "1.0.1",
+      "resolved": "https://registry.npmjs.org/simple-concat/-/simple-concat-1.0.1.tgz",
+      "integrity": "sha512-cSFtAPtRhljv69IK0hTVZQ+OfE9nePi/rtJmw5UjHeVyVroEqJXP1sFztKUy1qU+xvz3u/sfYJLa947b7nAN2Q==",
+      "funding": [
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/feross"
+        },
+        {
+          "type": "patreon",
+          "url": "https://www.patreon.com/feross"
+        },
+        {
+          "type": "consulting",
+          "url": "https://feross.org/support"
+        }
+      ],
+      "optional": true
+    },
+    "node_modules/simple-get": {
+      "version": "3.1.1",
+      "resolved": "https://registry.npmjs.org/simple-get/-/simple-get-3.1.1.tgz",
+      "integrity": "sha512-CQ5LTKGfCpvE1K0n2us+kuMPbk/q0EKl82s4aheV9oXjFEz6W/Y7oQFVJuU6QG77hRT4Ghb5RURteF5vnWjupA==",
+      "optional": true,
       "dependencies": {
-        "call-bind": "^1.0.6",
-        "es-errors": "^1.3.0",
-        "get-intrinsic": "^1.2.4",
-        "object-inspect": "^1.13.1"
+        "decompress-response": "^4.2.0",
+        "once": "^1.3.1",
+        "simple-concat": "^1.0.0"
+      }
+    },
+    "node_modules/simple-get/node_modules/decompress-response": {
+      "version": "4.2.1",
+      "resolved": "https://registry.npmjs.org/decompress-response/-/decompress-response-4.2.1.tgz",
+      "integrity": "sha512-jOSne2qbyE+/r8G1VU+G/82LBs2Fs4LAsTiLSHOCOMZQl2OKZ6i8i4IyHemTe+/yIXOtTcRQMzPcgyhoFlqPkw==",
+      "optional": true,
+      "dependencies": {
+        "mimic-response": "^2.0.0"
       },
       "engines": {
-        "node": ">= 0.4"
+        "node": ">=8"
+      }
+    },
+    "node_modules/simple-get/node_modules/mimic-response": {
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/mimic-response/-/mimic-response-2.1.0.tgz",
+      "integrity": "sha512-wXqjST+SLt7R009ySCglWBCFpjUygmCIfD790/kVbiGmUgfYGuB14PiTd5DwVxSV4NcYHjzMkoj5LjQZwTQLEA==",
+      "optional": true,
+      "engines": {
+        "node": ">=8"
       },
       "funding": {
-        "url": "https://github.com/sponsors/ljharb"
+        "url": "https://github.com/sponsors/sindresorhus"
       }
     },
-    "node_modules/signal-exit": {
-      "version": "3.0.7",
-      "resolved": "https://registry.npmjs.org/signal-exit/-/signal-exit-3.0.7.tgz",
-      "integrity": "sha512-wnD2ZE+l+SPC/uoS0vXeE9L1+0wuaMqKlfz9AMUo38JsyLSBWSFcHR1Rri62LZc12vLr1gb3jl7iwQhgwpAbGQ=="
+    "node_modules/simple-git-hooks": {
+      "version": "2.11.1",
+      "resolved": "https://registry.npmjs.org/simple-git-hooks/-/simple-git-hooks-2.11.1.tgz",
+      "integrity": "sha512-tgqwPUMDcNDhuf1Xf6KTUsyeqGdgKMhzaH4PAZZuzguOgTl5uuyeYe/8mWgAr6IBxB5V06uqEf6Dy37gIWDtDg==",
+      "dev": true,
+      "hasInstallScript": true,
+      "bin": {
+        "simple-git-hooks": "cli.js"
+      }
     },
     "node_modules/sisteransi": {
       "version": "1.0.5",
@@ -10343,22 +13287,6 @@
         "node": ">=8"
       }
     },
-    "node_modules/slice-ansi": {
-      "version": "4.0.0",
-      "resolved": "https://registry.npmjs.org/slice-ansi/-/slice-ansi-4.0.0.tgz",
-      "integrity": "sha512-qMCMfhY040cVHT43K9BFygqYbUPFZKHOg7K73mtTWJRb8pyP3fzf4Ixd5SzdEJQ6MRUg/WBnOLxghZtKKurENQ==",
-      "dependencies": {
-        "ansi-styles": "^4.0.0",
-        "astral-regex": "^2.0.0",
-        "is-fullwidth-code-point": "^3.0.0"
-      },
-      "engines": {
-        "node": ">=10"
-      },
-      "funding": {
-        "url": "https://github.com/chalk/slice-ansi?sponsor=1"
-      }
-    },
     "node_modules/snake-case": {
       "version": "3.0.4",
       "resolved": "https://registry.npmjs.org/snake-case/-/snake-case-3.0.4.tgz",
@@ -10368,6 +13296,32 @@
         "tslib": "^2.0.3"
       }
     },
+    "node_modules/socket.io-client": {
+      "version": "4.7.5",
+      "resolved": "https://registry.npmjs.org/socket.io-client/-/socket.io-client-4.7.5.tgz",
+      "integrity": "sha512-sJ/tqHOCe7Z50JCBCXrsY3I2k03iOiUe+tj1OmKeD2lXPiGH/RUCdTZFoqVyN7l1MnpIzPrGtLcijffmeouNlQ==",
+      "dependencies": {
+        "@socket.io/component-emitter": "~3.1.0",
+        "debug": "~4.3.2",
+        "engine.io-client": "~6.5.2",
+        "socket.io-parser": "~4.2.4"
+      },
+      "engines": {
+        "node": ">=10.0.0"
+      }
+    },
+    "node_modules/socket.io-parser": {
+      "version": "4.2.4",
+      "resolved": "https://registry.npmjs.org/socket.io-parser/-/socket.io-parser-4.2.4.tgz",
+      "integrity": "sha512-/GbIKmo8ioc+NIWIhwdecY0ge+qVBSMdgxGygevmdHj24bsfgtCmcUUcQ5ZzcylGFHsN3k4HB4Cgkl96KVnuew==",
+      "dependencies": {
+        "@socket.io/component-emitter": "~3.1.0",
+        "debug": "~4.3.1"
+      },
+      "engines": {
+        "node": ">=10.0.0"
+      }
+    },
     "node_modules/sort-keys": {
       "version": "1.1.2",
       "resolved": "https://registry.npmjs.org/sort-keys/-/sort-keys-1.1.2.tgz",
@@ -10393,17 +13347,18 @@
       }
     },
     "node_modules/source-map": {
-      "version": "0.5.7",
-      "resolved": "https://registry.npmjs.org/source-map/-/source-map-0.5.7.tgz",
-      "integrity": "sha512-LbrmJOMUSdEVxIKvdcJzQC+nQhe8FUZQTXQy6+I75skNgn3OoQ0DZA8YnFa7gp8tqtL3KPf1kmo0R5DoApeSGQ==",
+      "version": "0.7.4",
+      "resolved": "https://registry.npmjs.org/source-map/-/source-map-0.7.4.tgz",
+      "integrity": "sha512-l3BikUxvPOcn5E74dZiq5BGsTb5yEwhaTSzccU6t4sDOH8NWJCstKO5QT2CvtFoK6F0saL7p9xHAqHOlCPJygA==",
+      "dev": true,
       "engines": {
-        "node": ">=0.10.0"
+        "node": ">= 8"
       }
     },
     "node_modules/source-map-js": {
-      "version": "1.0.2",
-      "resolved": "https://registry.npmjs.org/source-map-js/-/source-map-js-1.0.2.tgz",
-      "integrity": "sha512-R0XvVJ9WusLiqTCEiGCmICCMplcCkIwwR11mOSD9CR5u+IXYdiseeEuXCVAjS54zqwkLcPNnmU4OeJ6tUrWhDw==",
+      "version": "1.2.0",
+      "resolved": "https://registry.npmjs.org/source-map-js/-/source-map-js-1.2.0.tgz",
+      "integrity": "sha512-itJW8lvSA0TXEphiRoawsCksnlf8SyvmFzIhltqAHluXd88pkCd+cXJVHTDwdCr0IzwptSm035IHQktUu1QUMg==",
       "engines": {
         "node": ">=0.10.0"
       }
@@ -10438,6 +13393,27 @@
         "node": "^12.20.0 || >=14"
       }
     },
+    "node_modules/stack-utils": {
+      "version": "2.0.6",
+      "resolved": "https://registry.npmjs.org/stack-utils/-/stack-utils-2.0.6.tgz",
+      "integrity": "sha512-XlkWvfIm6RmsWtNJx+uqtKLS8eqFbxUg0ZzLXqY0caEy9l7hruX8IpiDnjsLavoBgqCCR71TqWO8MaXYheJ3RQ==",
+      "dev": true,
+      "dependencies": {
+        "escape-string-regexp": "^2.0.0"
+      },
+      "engines": {
+        "node": ">=10"
+      }
+    },
+    "node_modules/stack-utils/node_modules/escape-string-regexp": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/escape-string-regexp/-/escape-string-regexp-2.0.0.tgz",
+      "integrity": "sha512-UpzcLCXolUWcNu5HtVMHYdXJjArjsF9C0aNnquZYY4uW/Vu0miy5YoWvbV345HauVvcAUnpRuhMMcqTcGOY2+w==",
+      "dev": true,
+      "engines": {
+        "node": ">=8"
+      }
+    },
     "node_modules/stdin-discarder": {
       "version": "0.1.0",
       "resolved": "https://registry.npmjs.org/stdin-discarder/-/stdin-discarder-0.1.0.tgz",
@@ -10452,18 +13428,6 @@
         "url": "https://github.com/sponsors/sindresorhus"
       }
     },
-    "node_modules/stop-iteration-iterator": {
-      "version": "1.0.0",
-      "resolved": "https://registry.npmjs.org/stop-iteration-iterator/-/stop-iteration-iterator-1.0.0.tgz",
-      "integrity": "sha512-iCGQj+0l0HOdZ2AEeBADlsRC+vsnDsZsbdSiH1yNSjcfKM7fdpCMfqAL/dwF5BLiw/XhRft/Wax6zQbhq2BcjQ==",
-      "dev": true,
-      "dependencies": {
-        "internal-slot": "^1.0.4"
-      },
-      "engines": {
-        "node": ">= 0.4"
-      }
-    },
     "node_modules/string_decoder": {
       "version": "1.3.0",
       "resolved": "https://registry.npmjs.org/string_decoder/-/string_decoder-1.3.0.tgz",
@@ -10499,18 +13463,17 @@
         "node": ">=8"
       }
     },
-    "node_modules/string-width-cjs/node_modules/strip-ansi": {
-      "version": "6.0.1",
-      "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-6.0.1.tgz",
-      "integrity": "sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A==",
-      "dependencies": {
-        "ansi-regex": "^5.0.1"
-      },
-      "engines": {
-        "node": ">=8"
-      }
+    "node_modules/string-width-cjs/node_modules/emoji-regex": {
+      "version": "8.0.0",
+      "resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-8.0.0.tgz",
+      "integrity": "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A=="
     },
-    "node_modules/string-width/node_modules/strip-ansi": {
+    "node_modules/string-width/node_modules/emoji-regex": {
+      "version": "8.0.0",
+      "resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-8.0.0.tgz",
+      "integrity": "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A=="
+    },
+    "node_modules/strip-ansi": {
       "version": "6.0.1",
       "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-6.0.1.tgz",
       "integrity": "sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A==",
@@ -10521,20 +13484,6 @@
         "node": ">=8"
       }
     },
-    "node_modules/strip-ansi": {
-      "version": "7.1.0",
-      "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-7.1.0.tgz",
-      "integrity": "sha512-iq6eVVI64nQQTRYq2KtEg2d2uU7LElhTJwsH4YzIHZshxlgZms/wIc4VoDQTlG/IvVIrBKG06CrZnp0qv7hkcQ==",
-      "dependencies": {
-        "ansi-regex": "^6.0.1"
-      },
-      "engines": {
-        "node": ">=12"
-      },
-      "funding": {
-        "url": "https://github.com/chalk/strip-ansi?sponsor=1"
-      }
-    },
     "node_modules/strip-ansi-cjs": {
       "name": "strip-ansi",
       "version": "6.0.1",
@@ -10547,17 +13496,6 @@
         "node": ">=8"
       }
     },
-    "node_modules/strip-ansi/node_modules/ansi-regex": {
-      "version": "6.0.1",
-      "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-6.0.1.tgz",
-      "integrity": "sha512-n5M855fKb2SsfMIiFFoVrABHJC8QtHwVx+mHWP3QcEqBHYienj5dHSgjbxtC0WEZXYt4wcD6zrQElDPhFuZgfA==",
-      "engines": {
-        "node": ">=12"
-      },
-      "funding": {
-        "url": "https://github.com/chalk/ansi-regex?sponsor=1"
-      }
-    },
     "node_modules/strip-bom": {
       "version": "3.0.0",
       "resolved": "https://registry.npmjs.org/strip-bom/-/strip-bom-3.0.0.tgz",
@@ -10596,6 +13534,18 @@
         "node": ">=8"
       }
     },
+    "node_modules/strip-json-comments": {
+      "version": "3.1.1",
+      "resolved": "https://registry.npmjs.org/strip-json-comments/-/strip-json-comments-3.1.1.tgz",
+      "integrity": "sha512-6fPc+R4ihwqP6N/aIv2f1gMH8lOVtWQHoqC4yK6oSDVVocumAsfCqjkXnqiYMhmMwS/mEHLp7Vehlt3ql6lEig==",
+      "dev": true,
+      "engines": {
+        "node": ">=8"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
+      }
+    },
     "node_modules/strip-outer": {
       "version": "2.0.0",
       "resolved": "https://registry.npmjs.org/strip-outer/-/strip-outer-2.0.0.tgz",
@@ -10633,11 +13583,6 @@
         "inline-style-parser": "0.1.1"
       }
     },
-    "node_modules/stylis": {
-      "version": "4.2.0",
-      "resolved": "https://registry.npmjs.org/stylis/-/stylis-4.2.0.tgz",
-      "integrity": "sha512-Orov6g6BB1sDfYgzWfTHDOxamtX1bE/zo104Dh9e6fqJ3PooipYyfJ0pUmrZO2wAvO8YbEyeFrkV91XTsGMSrw=="
-    },
     "node_modules/sucrase": {
       "version": "3.35.0",
       "resolved": "https://registry.npmjs.org/sucrase/-/sucrase-3.35.0.tgz",
@@ -10667,16 +13612,50 @@
         "node": ">= 6"
       }
     },
+    "node_modules/sucrase/node_modules/glob": {
+      "version": "10.4.2",
+      "resolved": "https://registry.npmjs.org/glob/-/glob-10.4.2.tgz",
+      "integrity": "sha512-GwMlUF6PkPo3Gk21UxkCohOv0PLcIXVtKyLlpEI28R/cO/4eNOdmLk3CMW1wROV/WR/EsZOWAfBbBOqYvs88/w==",
+      "dependencies": {
+        "foreground-child": "^3.1.0",
+        "jackspeak": "^3.1.2",
+        "minimatch": "^9.0.4",
+        "minipass": "^7.1.2",
+        "package-json-from-dist": "^1.0.0",
+        "path-scurry": "^1.11.1"
+      },
+      "bin": {
+        "glob": "dist/esm/bin.mjs"
+      },
+      "engines": {
+        "node": ">=16 || 14 >=14.18"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/isaacs"
+      }
+    },
+    "node_modules/sucrase/node_modules/minipass": {
+      "version": "7.1.2",
+      "resolved": "https://registry.npmjs.org/minipass/-/minipass-7.1.2.tgz",
+      "integrity": "sha512-qOOzS1cBTWYF4BH8fVePDBOO9iptMnGUEZwNc/cMWnTV2nVLZ7VoNWEPHkYczZA0pdoA7dl6e7FL659nX9S2aw==",
+      "engines": {
+        "node": ">=16 || 14 >=14.17"
+      }
+    },
+    "node_modules/sugar-high": {
+      "version": "0.6.1",
+      "resolved": "https://registry.npmjs.org/sugar-high/-/sugar-high-0.6.1.tgz",
+      "integrity": "sha512-kg1qMW7WwJcueXIlHkChL/p2EWY3gf8rQmP6n5nUq2TWVqatqDTMLvViS9WgAjgyTKH5/3/b8sRwWPOOAo1zMA=="
+    },
     "node_modules/supports-color": {
-      "version": "7.2.0",
-      "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-7.2.0.tgz",
-      "integrity": "sha512-qpCAvRl9stuOHveKsn7HncJRvv501qIacKzQlO/+Lwxc9+0q2wLyv4Dfvt80/DPn2pqOBsJdDiogXGR9+OvwRw==",
-      "dev": true,
+      "version": "5.5.0",
+      "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-5.5.0.tgz",
+      "integrity": "sha512-QjVjwdXIt408MIiAqCX4oUKsgU2EqAGzs2Ppkm4aQYbjm+ZEWEcW4SfFNTr4uMNZma0ey4f5lgLrkB0aX0QMow==",
       "dependencies": {
-        "has-flag": "^4.0.0"
+        "has-flag": "^3.0.0"
       },
       "engines": {
-        "node": ">=8"
+        "node": ">=4"
       }
     },
     "node_modules/supports-preserve-symlinks-flag": {
@@ -10695,55 +13674,32 @@
       "resolved": "https://registry.npmjs.org/svg-parser/-/svg-parser-2.0.4.tgz",
       "integrity": "sha512-e4hG1hRwoOdRb37cIMSgzNsxyzKfayW6VOflrwvR+/bzrkyxY/31WkbgnQpgtrNp1SdpJvpUAGTa/ZoiPNDuRQ=="
     },
-    "node_modules/switch": {
-      "version": "0.0.0",
-      "resolved": "https://registry.npmjs.org/switch/-/switch-0.0.0.tgz",
-      "integrity": "sha512-Pvi4hlAXWHEIT+4XlQEPPIQ02hRzvn38K/cnZ5sZeM11FsDPoXvBD6i/zyVxFK6cgqSlS8sA5/sIwUGp9+ZMhw=="
-    },
     "node_modules/symbol-tree": {
       "version": "3.2.4",
       "resolved": "https://registry.npmjs.org/symbol-tree/-/symbol-tree-3.2.4.tgz",
       "integrity": "sha512-9QNk5KwDF+Bvz+PyObkmSYjI5ksVUYtjW7AU22r2NKcfLJcXp96hkDWU3+XndOsUb+AQ9QhfzfCT2O+CNWT5Tw=="
     },
-    "node_modules/table": {
-      "version": "6.8.1",
-      "resolved": "https://registry.npmjs.org/table/-/table-6.8.1.tgz",
-      "integrity": "sha512-Y4X9zqrCftUhMeH2EptSSERdVKt/nEdijTOacGD/97EKjhQ/Qs8RTlEGABSJNNN8lac9kheH+af7yAkEWlgneA==",
-      "dependencies": {
-        "ajv": "^8.0.1",
-        "lodash.truncate": "^4.4.2",
-        "slice-ansi": "^4.0.0",
-        "string-width": "^4.2.3",
-        "strip-ansi": "^6.0.1"
-      },
-      "engines": {
-        "node": ">=10.0.0"
-      }
+    "node_modules/tabbable": {
+      "version": "6.2.0",
+      "resolved": "https://registry.npmjs.org/tabbable/-/tabbable-6.2.0.tgz",
+      "integrity": "sha512-Cat63mxsVJlzYvN51JmVXIgNoUokrIaT2zLclCXjRd8boZ0004U4KCs/sToJ75C6sdlByWxpYnb5Boif1VSFew=="
     },
-    "node_modules/table/node_modules/strip-ansi": {
-      "version": "6.0.1",
-      "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-6.0.1.tgz",
-      "integrity": "sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A==",
+    "node_modules/tailwind-merge": {
+      "version": "2.3.0",
+      "resolved": "https://registry.npmjs.org/tailwind-merge/-/tailwind-merge-2.3.0.tgz",
+      "integrity": "sha512-vkYrLpIP+lgR0tQCG6AP7zZXCTLc1Lnv/CCRT3BqJ9CZ3ui2++GPaGb1x/ILsINIMSYqqvrpqjUFsMNLlW99EA==",
       "dependencies": {
-        "ansi-regex": "^5.0.1"
+        "@babel/runtime": "^7.24.1"
       },
-      "engines": {
-        "node": ">=8"
-      }
-    },
-    "node_modules/tailwind-merge": {
-      "version": "1.14.0",
-      "resolved": "https://registry.npmjs.org/tailwind-merge/-/tailwind-merge-1.14.0.tgz",
-      "integrity": "sha512-3mFKyCo/MBcgyOTlrY8T7odzZFx+w+qKSMAmdFzRvqBfLlSigU6TZnlFHK0lkMwj9Bj8OYU+9yW9lmGuS0QEnQ==",
       "funding": {
         "type": "github",
         "url": "https://github.com/sponsors/dcastil"
       }
     },
     "node_modules/tailwindcss": {
-      "version": "3.4.1",
-      "resolved": "https://registry.npmjs.org/tailwindcss/-/tailwindcss-3.4.1.tgz",
-      "integrity": "sha512-qAYmXRfk3ENzuPBakNK0SRrUDipP8NQnEY6772uDhflcQz5EhRdD7JNZxyrFHVQNCwULPBn6FNPp9brpO7ctcA==",
+      "version": "3.4.4",
+      "resolved": "https://registry.npmjs.org/tailwindcss/-/tailwindcss-3.4.4.tgz",
+      "integrity": "sha512-ZoyXOdJjISB7/BcLTR6SEsLgKtDStYyYZVLsUtWChO4Ps20CBad7lfJKVDiejocV4ME1hLmyY0WJE3hSDcmQ2A==",
       "dependencies": {
         "@alloc/quick-lru": "^5.2.0",
         "arg": "^5.0.2",
@@ -10753,7 +13709,7 @@
         "fast-glob": "^3.3.0",
         "glob-parent": "^6.0.2",
         "is-glob": "^4.0.3",
-        "jiti": "^1.19.1",
+        "jiti": "^1.21.0",
         "lilconfig": "^2.1.0",
         "micromatch": "^4.0.5",
         "normalize-path": "^3.0.0",
@@ -10784,21 +13740,19 @@
         "tailwindcss": ">=3.0.0 || insiders"
       }
     },
-    "node_modules/tailwindcss/node_modules/glob-parent": {
-      "version": "6.0.2",
-      "resolved": "https://registry.npmjs.org/glob-parent/-/glob-parent-6.0.2.tgz",
-      "integrity": "sha512-XxwI8EOhVQgWp6iDL+3b0r86f4d6AX6zSU55HfB4ydCEuXLXc5FcYeOu+nnGftS4TEju/11rt4KJPTMgbfmv4A==",
-      "dependencies": {
-        "is-glob": "^4.0.3"
-      },
-      "engines": {
-        "node": ">=10.13.0"
+    "node_modules/tailwindcss-dotted-background": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/tailwindcss-dotted-background/-/tailwindcss-dotted-background-1.1.0.tgz",
+      "integrity": "sha512-uFzCW5Bpyn8XgppTkyzqdHecH7XCDaS/eXvegDrOCYE6PxTm7dRrD9cuUcZe6mxQFVfkLu9rDmHJdqbjz9FdLA==",
+      "dev": true,
+      "peerDependencies": {
+        "tailwindcss": "^3.0.0"
       }
     },
     "node_modules/tailwindcss/node_modules/postcss-selector-parser": {
-      "version": "6.0.15",
-      "resolved": "https://registry.npmjs.org/postcss-selector-parser/-/postcss-selector-parser-6.0.15.tgz",
-      "integrity": "sha512-rEYkQOMUCEMhsKbK66tbEU9QVIxbhN18YiniAwA7XQYTVBqrBy+P2p5JcdqsHgKM2zWylp8d7J6eszocfds5Sw==",
+      "version": "6.1.0",
+      "resolved": "https://registry.npmjs.org/postcss-selector-parser/-/postcss-selector-parser-6.1.0.tgz",
+      "integrity": "sha512-UMz42UD0UY0EApS0ZL9o1XnLhSTtvvvLe5Dc2H2O56fvRZi+KulDyf5ctDhhtYJBGKStV2FL1fy6253cmLgqVQ==",
       "dependencies": {
         "cssesc": "^3.0.0",
         "util-deprecate": "^1.0.2"
@@ -10807,6 +13761,35 @@
         "node": ">=4"
       }
     },
+    "node_modules/tar": {
+      "version": "6.2.1",
+      "resolved": "https://registry.npmjs.org/tar/-/tar-6.2.1.tgz",
+      "integrity": "sha512-DZ4yORTwrbTj/7MZYq2w+/ZFdI6OZ/f9SFHR+71gIVUZhOQPHzVCLpvRnPgyaMpfWxxk/4ONva3GQSyNIKRv6A==",
+      "optional": true,
+      "dependencies": {
+        "chownr": "^2.0.0",
+        "fs-minipass": "^2.0.0",
+        "minipass": "^5.0.0",
+        "minizlib": "^2.1.1",
+        "mkdirp": "^1.0.3",
+        "yallist": "^4.0.0"
+      },
+      "engines": {
+        "node": ">=10"
+      }
+    },
+    "node_modules/tar/node_modules/yallist": {
+      "version": "4.0.0",
+      "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz",
+      "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A==",
+      "optional": true
+    },
+    "node_modules/text-table": {
+      "version": "0.2.0",
+      "resolved": "https://registry.npmjs.org/text-table/-/text-table-0.2.0.tgz",
+      "integrity": "sha512-N+8UisAXDGk8PFXP4HAzVR9nbfmVJ3zYLAWiTIoqC5v5isinhr+r5uaO8+7r3BMfuNIufIsA7RdpVgacC2cSpw==",
+      "dev": true
+    },
     "node_modules/thenify": {
       "version": "3.3.1",
       "resolved": "https://registry.npmjs.org/thenify/-/thenify-3.3.1.tgz",
@@ -10826,11 +13809,24 @@
         "node": ">=0.8"
       }
     },
+    "node_modules/tiny-invariant": {
+      "version": "1.3.3",
+      "resolved": "https://registry.npmjs.org/tiny-invariant/-/tiny-invariant-1.3.3.tgz",
+      "integrity": "sha512-+FbBPE1o9QAYvviau/qC5SE3caw21q3xkvWKBtja5vgqOWIHHJ3ioaq1VPfn/Szqctz2bU/oYeKd9/z5BL+PVg=="
+    },
     "node_modules/tiny-warning": {
       "version": "1.0.3",
       "resolved": "https://registry.npmjs.org/tiny-warning/-/tiny-warning-1.0.3.tgz",
       "integrity": "sha512-lBN9zLN/oAf68o3zNXYrdCt1kP8WsiGW8Oo2ka41b2IM5JL/S1CTyX1rW0mb/zSuJun0ZUrDxx4sqvYS2FWzPA=="
     },
+    "node_modules/tmp": {
+      "version": "0.2.3",
+      "resolved": "https://registry.npmjs.org/tmp/-/tmp-0.2.3.tgz",
+      "integrity": "sha512-nZD7m9iCPC5g0pYmcaxogYKggSfLsdxl8of3Q/oIbqCqLLIO9IAF0GWjX1z9NZRHPiXv8Wex4yDCaZsgEw0Y8w==",
+      "engines": {
+        "node": ">=14.14"
+      }
+    },
     "node_modules/to-fast-properties": {
       "version": "2.0.0",
       "resolved": "https://registry.npmjs.org/to-fast-properties/-/to-fast-properties-2.0.0.tgz",
@@ -10868,9 +13864,9 @@
       }
     },
     "node_modules/tough-cookie": {
-      "version": "4.1.3",
-      "resolved": "https://registry.npmjs.org/tough-cookie/-/tough-cookie-4.1.3.tgz",
-      "integrity": "sha512-aX/y5pVRkfRnfmuX+OdbSdXvPe6ieKX/G2s7e98f4poJHnqH3281gDPm/metm6E/WRamfx7WC4HUqkWHfQHprw==",
+      "version": "4.1.4",
+      "resolved": "https://registry.npmjs.org/tough-cookie/-/tough-cookie-4.1.4.tgz",
+      "integrity": "sha512-Loo5UUvLD9ScZ6jh8beX1T6sO1w2/MpCRpEP7V280GKMVUQ0Jzar2U3UJPsrdbziLEMMhu3Ujnq//rhiFuIeag==",
       "dependencies": {
         "psl": "^1.1.33",
         "punycode": "^2.1.1",
@@ -10883,23 +13879,17 @@
     },
     "node_modules/tough-cookie/node_modules/universalify": {
       "version": "0.2.0",
-      "resolved": "https://registry.npmjs.org/universalify/-/universalify-0.2.0.tgz",
-      "integrity": "sha512-CJ1QgKmNg3CwvAv/kOFmtnEN05f0D/cn9QntgNOQlQF9dgvVTHj3t+8JPdjqawCHk7V/KA+fbUqzZ9XWhcqPUg==",
-      "engines": {
-        "node": ">= 4.0.0"
-      }
-    },
-    "node_modules/tr46": {
-      "version": "3.0.0",
-      "resolved": "https://registry.npmjs.org/tr46/-/tr46-3.0.0.tgz",
-      "integrity": "sha512-l7FvfAHlcmulp8kr+flpQZmVwtu7nfRV7NZujtN0OqES8EL4O4e0qqzL0DC5gAvx/ZC/9lk6rhcUwYvkBnBnYA==",
-      "dependencies": {
-        "punycode": "^2.1.1"
-      },
+      "resolved": "https://registry.npmjs.org/universalify/-/universalify-0.2.0.tgz",
+      "integrity": "sha512-CJ1QgKmNg3CwvAv/kOFmtnEN05f0D/cn9QntgNOQlQF9dgvVTHj3t+8JPdjqawCHk7V/KA+fbUqzZ9XWhcqPUg==",
       "engines": {
-        "node": ">=12"
+        "node": ">= 4.0.0"
       }
     },
+    "node_modules/tr46": {
+      "version": "0.0.3",
+      "resolved": "https://registry.npmjs.org/tr46/-/tr46-0.0.3.tgz",
+      "integrity": "sha512-N3WMsuqV66lT30CrXNbEjx4GEwlow3v6rr4mCcv6prnfwhS01rkgyFdjPNBYd9br7LpXV1+Emh01fHnq2Gdgrw=="
+    },
     "node_modules/trim-lines": {
       "version": "3.0.1",
       "resolved": "https://registry.npmjs.org/trim-lines/-/trim-lines-3.0.1.tgz",
@@ -10970,750 +13960,510 @@
       }
     },
     "node_modules/tslib": {
-      "version": "2.6.2",
-      "resolved": "https://registry.npmjs.org/tslib/-/tslib-2.6.2.tgz",
-      "integrity": "sha512-AEYxH93jGFPn/a2iVAwW87VuUIkR1FVUKB77NwMF7nBTDkDrrT/Hpt/IrCJ0QXhW27jTBDcf5ZY7w6RiqTMw2Q=="
-    },
-    "node_modules/typescript": {
-      "version": "5.3.3",
-      "resolved": "https://registry.npmjs.org/typescript/-/typescript-5.3.3.tgz",
-      "integrity": "sha512-pXWcraxM0uxAS+tN0AG/BF2TyqmHO014Z070UsJ+pFvYuRSq8KH8DmWpnbXe0pEPDHXZV3FcAbJkijJ5oNEnWw==",
-      "devOptional": true,
-      "bin": {
-        "tsc": "bin/tsc",
-        "tsserver": "bin/tsserver"
-      },
-      "engines": {
-        "node": ">=14.17"
-      }
-    },
-    "node_modules/unified": {
-      "version": "10.1.2",
-      "resolved": "https://registry.npmjs.org/unified/-/unified-10.1.2.tgz",
-      "integrity": "sha512-pUSWAi/RAnVy1Pif2kAoeWNBa3JVrx0MId2LASj8G+7AiHWoKZNTomq6LG326T68U7/e263X6fTdcXIy7XnF7Q==",
-      "dependencies": {
-        "@types/unist": "^2.0.0",
-        "bail": "^2.0.0",
-        "extend": "^3.0.0",
-        "is-buffer": "^2.0.0",
-        "is-plain-obj": "^4.0.0",
-        "trough": "^2.0.0",
-        "vfile": "^5.0.0"
-      },
-      "funding": {
-        "type": "opencollective",
-        "url": "https://opencollective.com/unified"
-      }
-    },
-    "node_modules/unified/node_modules/is-plain-obj": {
-      "version": "4.1.0",
-      "resolved": "https://registry.npmjs.org/is-plain-obj/-/is-plain-obj-4.1.0.tgz",
-      "integrity": "sha512-+Pgi+vMuUNkJyExiMBt5IlFoMyKnr5zhJ4Uspz58WOhBF5QoIZkFyNHIbBAtHwzVAgk5RtndVNsDRN61/mmDqg==",
-      "engines": {
-        "node": ">=12"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/sindresorhus"
-      }
-    },
-    "node_modules/unist-util-find-after": {
-      "version": "4.0.1",
-      "resolved": "https://registry.npmjs.org/unist-util-find-after/-/unist-util-find-after-4.0.1.tgz",
-      "integrity": "sha512-QO/PuPMm2ERxC6vFXEPtmAutOopy5PknD+Oq64gGwxKtk4xwo9Z97t9Av1obPmGU0IyTa6EKYUfTrK2QJS3Ozw==",
-      "dependencies": {
-        "@types/unist": "^2.0.0",
-        "unist-util-is": "^5.0.0"
-      },
-      "funding": {
-        "type": "opencollective",
-        "url": "https://opencollective.com/unified"
-      }
-    },
-    "node_modules/unist-util-generated": {
-      "version": "2.0.1",
-      "resolved": "https://registry.npmjs.org/unist-util-generated/-/unist-util-generated-2.0.1.tgz",
-      "integrity": "sha512-qF72kLmPxAw0oN2fwpWIqbXAVyEqUzDHMsbtPvOudIlUzXYFIeQIuxXQCRCFh22B7cixvU0MG7m3MW8FTq/S+A==",
-      "funding": {
-        "type": "opencollective",
-        "url": "https://opencollective.com/unified"
-      }
-    },
-    "node_modules/unist-util-is": {
-      "version": "5.2.1",
-      "resolved": "https://registry.npmjs.org/unist-util-is/-/unist-util-is-5.2.1.tgz",
-      "integrity": "sha512-u9njyyfEh43npf1M+yGKDGVPbY/JWEemg5nH05ncKPfi+kBbKBJoTdsogMu33uhytuLlv9y0O7GH7fEdwLdLQw==",
-      "dependencies": {
-        "@types/unist": "^2.0.0"
-      },
-      "funding": {
-        "type": "opencollective",
-        "url": "https://opencollective.com/unified"
-      }
-    },
-    "node_modules/unist-util-position": {
-      "version": "4.0.4",
-      "resolved": "https://registry.npmjs.org/unist-util-position/-/unist-util-position-4.0.4.tgz",
-      "integrity": "sha512-kUBE91efOWfIVBo8xzh/uZQ7p9ffYRtUbMRZBNFYwf0RK8koUMx6dGUfwylLOKmaT2cs4wSW96QoYUSXAyEtpg==",
-      "dependencies": {
-        "@types/unist": "^2.0.0"
-      },
-      "funding": {
-        "type": "opencollective",
-        "url": "https://opencollective.com/unified"
-      }
-    },
-    "node_modules/unist-util-stringify-position": {
-      "version": "3.0.3",
-      "resolved": "https://registry.npmjs.org/unist-util-stringify-position/-/unist-util-stringify-position-3.0.3.tgz",
-      "integrity": "sha512-k5GzIBZ/QatR8N5X2y+drfpWG8IDBzdnVj6OInRNWm1oXrzydiaAT2OQiA8DPRRZyAKb9b6I2a6PxYklZD0gKg==",
-      "dependencies": {
-        "@types/unist": "^2.0.0"
-      },
-      "funding": {
-        "type": "opencollective",
-        "url": "https://opencollective.com/unified"
-      }
-    },
-    "node_modules/unist-util-visit": {
-      "version": "4.1.2",
-      "resolved": "https://registry.npmjs.org/unist-util-visit/-/unist-util-visit-4.1.2.tgz",
-      "integrity": "sha512-MSd8OUGISqHdVvfY9TPhyK2VdUrPgxkUtWSuMHF6XAAFuL4LokseigBnZtPnJMu+FbynTkFNnFlyjxpVKujMRg==",
-      "dependencies": {
-        "@types/unist": "^2.0.0",
-        "unist-util-is": "^5.0.0",
-        "unist-util-visit-parents": "^5.1.1"
-      },
-      "funding": {
-        "type": "opencollective",
-        "url": "https://opencollective.com/unified"
-      }
-    },
-    "node_modules/unist-util-visit-parents": {
-      "version": "5.1.3",
-      "resolved": "https://registry.npmjs.org/unist-util-visit-parents/-/unist-util-visit-parents-5.1.3.tgz",
-      "integrity": "sha512-x6+y8g7wWMyQhL1iZfhIPhDAs7Xwbn9nRosDXl7qoPTSCy0yNxnKc+hWokFifWQIDGi154rdUqKvbCa4+1kLhg==",
-      "dependencies": {
-        "@types/unist": "^2.0.0",
-        "unist-util-is": "^5.0.0"
-      },
-      "funding": {
-        "type": "opencollective",
-        "url": "https://opencollective.com/unified"
-      }
-    },
-    "node_modules/universal-cookie": {
-      "version": "4.0.4",
-      "resolved": "https://registry.npmjs.org/universal-cookie/-/universal-cookie-4.0.4.tgz",
-      "integrity": "sha512-lbRVHoOMtItjWbM7TwDLdl8wug7izB0tq3/YVKhT/ahB4VDvWMyvnADfnJI8y6fSvsjh51Ix7lTGC6Tn4rMPhw==",
-      "dependencies": {
-        "@types/cookie": "^0.3.3",
-        "cookie": "^0.4.0"
-      }
-    },
-    "node_modules/universalify": {
-      "version": "2.0.1",
-      "resolved": "https://registry.npmjs.org/universalify/-/universalify-2.0.1.tgz",
-      "integrity": "sha512-gptHNQghINnc/vTGIk0SOFGFNXw7JVrlRUtConJRlvaw6DuX0wO5Jeko9sWrMBhh+PsYAZ7oXAiOnf/UKogyiw==",
-      "engines": {
-        "node": ">= 10.0.0"
-      }
-    },
-    "node_modules/update-browserslist-db": {
-      "version": "1.0.13",
-      "resolved": "https://registry.npmjs.org/update-browserslist-db/-/update-browserslist-db-1.0.13.tgz",
-      "integrity": "sha512-xebP81SNcPuNpPP3uzeW1NYXxI3rxyJzF3pD6sH4jE7o/IX+WtSpwnVU+qIsDPyk0d3hmFQ7mjqc6AtV604hbg==",
-      "funding": [
-        {
-          "type": "opencollective",
-          "url": "https://opencollective.com/browserslist"
-        },
-        {
-          "type": "tidelift",
-          "url": "https://tidelift.com/funding/github/npm/browserslist"
-        },
-        {
-          "type": "github",
-          "url": "https://github.com/sponsors/ai"
-        }
-      ],
-      "dependencies": {
-        "escalade": "^3.1.1",
-        "picocolors": "^1.0.0"
-      },
-      "bin": {
-        "update-browserslist-db": "cli.js"
-      },
-      "peerDependencies": {
-        "browserslist": ">= 4.21.0"
-      }
-    },
-    "node_modules/uri-js": {
-      "version": "4.4.1",
-      "resolved": "https://registry.npmjs.org/uri-js/-/uri-js-4.4.1.tgz",
-      "integrity": "sha512-7rKUyy33Q1yc98pQ1DAmLtwX109F7TIfWlW1Ydo8Wl1ii1SeHieeh0HHfPeL2fMXK6z0s8ecKs9frCuLJvndBg==",
-      "dependencies": {
-        "punycode": "^2.1.0"
-      }
-    },
-    "node_modules/url-parse": {
-      "version": "1.5.10",
-      "resolved": "https://registry.npmjs.org/url-parse/-/url-parse-1.5.10.tgz",
-      "integrity": "sha512-WypcfiRhfeUP9vvF0j6rw0J3hrWrw6iZv3+22h6iRMJ/8z1Tj6XfLP4DsUix5MhMPnXpiHDoKyoZ/bdCkwBCiQ==",
-      "dependencies": {
-        "querystringify": "^2.1.1",
-        "requires-port": "^1.0.0"
-      }
-    },
-    "node_modules/use-callback-ref": {
-      "version": "1.3.1",
-      "resolved": "https://registry.npmjs.org/use-callback-ref/-/use-callback-ref-1.3.1.tgz",
-      "integrity": "sha512-Lg4Vx1XZQauB42Hw3kK7JM6yjVjgFmFC5/Ab797s79aARomD2nEErc4mCgM8EZrARLmmbWpi5DGCadmK50DcAQ==",
-      "dependencies": {
-        "tslib": "^2.0.0"
-      },
-      "engines": {
-        "node": ">=10"
-      },
-      "peerDependencies": {
-        "@types/react": "^16.8.0 || ^17.0.0 || ^18.0.0",
-        "react": "^16.8.0 || ^17.0.0 || ^18.0.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        }
-      }
+      "version": "2.6.3",
+      "resolved": "https://registry.npmjs.org/tslib/-/tslib-2.6.3.tgz",
+      "integrity": "sha512-xNvxJEOUiWPGhUuUdQgAJPKOOJfGnIyKySOc09XkKsgdUV/3E2zvwZYdejjmRgPCgcym1juLH3226yA7sEFJKQ=="
     },
-    "node_modules/use-sidecar": {
-      "version": "1.1.2",
-      "resolved": "https://registry.npmjs.org/use-sidecar/-/use-sidecar-1.1.2.tgz",
-      "integrity": "sha512-epTbsLuzZ7lPClpz2TyryBfztm7m+28DlEv2ZCQ3MDr5ssiwyOwGH/e5F9CkfWjJ1t4clvI58yF822/GUkjjhw==",
+    "node_modules/type-check": {
+      "version": "0.4.0",
+      "resolved": "https://registry.npmjs.org/type-check/-/type-check-0.4.0.tgz",
+      "integrity": "sha512-XleUoc9uwGXqjWwXaUTZAmzMcFZ5858QA2vvx1Ur5xIcixXIP+8LnFDgRplU30us6teqdlskFfu+ae4K79Ooew==",
+      "dev": true,
       "dependencies": {
-        "detect-node-es": "^1.1.0",
-        "tslib": "^2.0.0"
+        "prelude-ls": "^1.2.1"
       },
       "engines": {
-        "node": ">=10"
-      },
-      "peerDependencies": {
-        "@types/react": "^16.9.0 || ^17.0.0 || ^18.0.0",
-        "react": "^16.8.0 || ^17.0.0 || ^18.0.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/react": {
-          "optional": true
-        }
-      }
-    },
-    "node_modules/use-sync-external-store": {
-      "version": "1.2.0",
-      "resolved": "https://registry.npmjs.org/use-sync-external-store/-/use-sync-external-store-1.2.0.tgz",
-      "integrity": "sha512-eEgnFxGQ1Ife9bzYs6VLi8/4X6CObHMw9Qr9tPY43iKwsPw8xE8+EFsf/2cFZ5S3esXgpWgtSCtLNS41F+sKPA==",
-      "peerDependencies": {
-        "react": "^16.8.0 || ^17.0.0 || ^18.0.0"
-      }
-    },
-    "node_modules/util-deprecate": {
-      "version": "1.0.2",
-      "resolved": "https://registry.npmjs.org/util-deprecate/-/util-deprecate-1.0.2.tgz",
-      "integrity": "sha512-EPD5q1uXyFxJpCrLnCc1nHnq3gOa6DZBocAIiI2TaSCA7VCJ1UJDMagCzIkXNsUYfD1daK//LTEQ8xiIbrHtcw=="
-    },
-    "node_modules/uuid": {
-      "version": "9.0.1",
-      "resolved": "https://registry.npmjs.org/uuid/-/uuid-9.0.1.tgz",
-      "integrity": "sha512-b+1eJOlsR9K8HJpow9Ok3fiWOWSIcIzXodvv0rQjVoOVNpWMpxf1wZNpt4y9h10odCNrqnYp1OBzRktckBe3sA==",
-      "funding": [
-        "https://github.com/sponsors/broofa",
-        "https://github.com/sponsors/ctavan"
-      ],
-      "bin": {
-        "uuid": "dist/bin/uuid"
+        "node": ">= 0.8.0"
       }
     },
-    "node_modules/uvu": {
-      "version": "0.5.6",
-      "resolved": "https://registry.npmjs.org/uvu/-/uvu-0.5.6.tgz",
-      "integrity": "sha512-+g8ENReyr8YsOc6fv/NVJs2vFdHBnBNdfE49rshrTzDWOlUx4Gq7KOS2GD8eqhy2j+Ejq29+SbKH8yjkAqXqoA==",
-      "dependencies": {
-        "dequal": "^2.0.0",
-        "diff": "^5.0.0",
-        "kleur": "^4.0.3",
-        "sade": "^1.7.3"
-      },
+    "node_modules/typescript": {
+      "version": "5.4.5",
+      "resolved": "https://registry.npmjs.org/typescript/-/typescript-5.4.5.tgz",
+      "integrity": "sha512-vcI4UpRgg81oIRUFwR0WSIHKt11nJ7SAVlYNIu+QpqeyXP+gpQJy/Z4+F0aGxSE4MqwjyXvW/TzgkLAx2AGHwQ==",
+      "devOptional": true,
       "bin": {
-        "uvu": "bin.js"
+        "tsc": "bin/tsc",
+        "tsserver": "bin/tsserver"
       },
       "engines": {
-        "node": ">=8"
+        "node": ">=14.17"
       }
     },
-    "node_modules/uvu/node_modules/kleur": {
-      "version": "4.1.5",
-      "resolved": "https://registry.npmjs.org/kleur/-/kleur-4.1.5.tgz",
-      "integrity": "sha512-o+NO+8WrRiQEE4/7nwRJhN1HWpVmJm511pBHUxPLtp0BUISzlBplORYSmTclCnJvQq2tKu/sgl3xVpkc7ZWuQQ==",
+    "node_modules/ua-parser-js": {
+      "version": "1.0.38",
+      "resolved": "https://registry.npmjs.org/ua-parser-js/-/ua-parser-js-1.0.38.tgz",
+      "integrity": "sha512-Aq5ppTOfvrCMgAPneW1HfWj66Xi7XL+/mIy996R1/CLS/rcyJQm6QZdsKrUeivDFQ+Oc9Wyuwor8Ze8peEoUoQ==",
+      "dev": true,
+      "funding": [
+        {
+          "type": "opencollective",
+          "url": "https://opencollective.com/ua-parser-js"
+        },
+        {
+          "type": "paypal",
+          "url": "https://paypal.me/faisalman"
+        },
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/faisalman"
+        }
+      ],
       "engines": {
-        "node": ">=6"
+        "node": "*"
       }
     },
-    "node_modules/vfile": {
-      "version": "5.3.7",
-      "resolved": "https://registry.npmjs.org/vfile/-/vfile-5.3.7.tgz",
-      "integrity": "sha512-r7qlzkgErKjobAmyNIkkSpizsFPYiUPuJb5pNW1RB4JcYVZhs4lIbVqk8XPk033CV/1z8ss5pkax8SuhGpcG8g==",
+    "node_modules/undici": {
+      "version": "6.19.2",
+      "resolved": "https://registry.npmjs.org/undici/-/undici-6.19.2.tgz",
+      "integrity": "sha512-JfjKqIauur3Q6biAtHJ564e3bWa8VvT+7cSiOJHFbX4Erv6CLGDpg8z+Fmg/1OI/47RA+GI2QZaF48SSaLvyBA==",
+      "engines": {
+        "node": ">=18.17"
+      }
+    },
+    "node_modules/undici-types": {
+      "version": "5.26.5",
+      "resolved": "https://registry.npmjs.org/undici-types/-/undici-types-5.26.5.tgz",
+      "integrity": "sha512-JlCMO+ehdEIKqlFxk6IfVoAUVmgz7cU7zD/h9XZ0qzeosSHmUJVOzSQvvYSYWXkFXC+IfLKSIffhv0sVZup6pA==",
+      "devOptional": true
+    },
+    "node_modules/unified": {
+      "version": "10.1.2",
+      "resolved": "https://registry.npmjs.org/unified/-/unified-10.1.2.tgz",
+      "integrity": "sha512-pUSWAi/RAnVy1Pif2kAoeWNBa3JVrx0MId2LASj8G+7AiHWoKZNTomq6LG326T68U7/e263X6fTdcXIy7XnF7Q==",
       "dependencies": {
         "@types/unist": "^2.0.0",
+        "bail": "^2.0.0",
+        "extend": "^3.0.0",
         "is-buffer": "^2.0.0",
-        "unist-util-stringify-position": "^3.0.0",
-        "vfile-message": "^3.0.0"
+        "is-plain-obj": "^4.0.0",
+        "trough": "^2.0.0",
+        "vfile": "^5.0.0"
       },
       "funding": {
         "type": "opencollective",
         "url": "https://opencollective.com/unified"
       }
     },
-    "node_modules/vfile-message": {
-      "version": "3.1.4",
-      "resolved": "https://registry.npmjs.org/vfile-message/-/vfile-message-3.1.4.tgz",
-      "integrity": "sha512-fa0Z6P8HUrQN4BZaX05SIVXic+7kE3b05PWAtPuYP9QLHsLKYR7/AlLW3NtOrpXRLeawpDLMsVkmk5DG0NXgWw==",
+    "node_modules/unified/node_modules/is-plain-obj": {
+      "version": "4.1.0",
+      "resolved": "https://registry.npmjs.org/is-plain-obj/-/is-plain-obj-4.1.0.tgz",
+      "integrity": "sha512-+Pgi+vMuUNkJyExiMBt5IlFoMyKnr5zhJ4Uspz58WOhBF5QoIZkFyNHIbBAtHwzVAgk5RtndVNsDRN61/mmDqg==",
+      "engines": {
+        "node": ">=12"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
+      }
+    },
+    "node_modules/unist-util-find-after": {
+      "version": "4.0.1",
+      "resolved": "https://registry.npmjs.org/unist-util-find-after/-/unist-util-find-after-4.0.1.tgz",
+      "integrity": "sha512-QO/PuPMm2ERxC6vFXEPtmAutOopy5PknD+Oq64gGwxKtk4xwo9Z97t9Av1obPmGU0IyTa6EKYUfTrK2QJS3Ozw==",
       "dependencies": {
         "@types/unist": "^2.0.0",
-        "unist-util-stringify-position": "^3.0.0"
+        "unist-util-is": "^5.0.0"
       },
       "funding": {
         "type": "opencollective",
         "url": "https://opencollective.com/unified"
       }
     },
-    "node_modules/vite": {
-      "version": "4.5.2",
-      "resolved": "https://registry.npmjs.org/vite/-/vite-4.5.2.tgz",
-      "integrity": "sha512-tBCZBNSBbHQkaGyhGCDUGqeo2ph8Fstyp6FMSvTtsXeZSPpSMGlviAOav2hxVTqFcx8Hj/twtWKsMJXNY0xI8w==",
+    "node_modules/unist-util-generated": {
+      "version": "2.0.1",
+      "resolved": "https://registry.npmjs.org/unist-util-generated/-/unist-util-generated-2.0.1.tgz",
+      "integrity": "sha512-qF72kLmPxAw0oN2fwpWIqbXAVyEqUzDHMsbtPvOudIlUzXYFIeQIuxXQCRCFh22B7cixvU0MG7m3MW8FTq/S+A==",
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
+      }
+    },
+    "node_modules/unist-util-is": {
+      "version": "5.2.1",
+      "resolved": "https://registry.npmjs.org/unist-util-is/-/unist-util-is-5.2.1.tgz",
+      "integrity": "sha512-u9njyyfEh43npf1M+yGKDGVPbY/JWEemg5nH05ncKPfi+kBbKBJoTdsogMu33uhytuLlv9y0O7GH7fEdwLdLQw==",
       "dependencies": {
-        "esbuild": "^0.18.10",
-        "postcss": "^8.4.27",
-        "rollup": "^3.27.1"
-      },
-      "bin": {
-        "vite": "bin/vite.js"
-      },
-      "engines": {
-        "node": "^14.18.0 || >=16.0.0"
+        "@types/unist": "^2.0.0"
       },
       "funding": {
-        "url": "https://github.com/vitejs/vite?sponsor=1"
-      },
-      "optionalDependencies": {
-        "fsevents": "~2.3.2"
-      },
-      "peerDependencies": {
-        "@types/node": ">= 14",
-        "less": "*",
-        "lightningcss": "^1.21.0",
-        "sass": "*",
-        "stylus": "*",
-        "sugarss": "*",
-        "terser": "^5.4.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/node": {
-          "optional": true
-        },
-        "less": {
-          "optional": true
-        },
-        "lightningcss": {
-          "optional": true
-        },
-        "sass": {
-          "optional": true
-        },
-        "stylus": {
-          "optional": true
-        },
-        "sugarss": {
-          "optional": true
-        },
-        "terser": {
-          "optional": true
-        }
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
       }
     },
-    "node_modules/vite-plugin-svgr": {
-      "version": "3.3.0",
-      "resolved": "https://registry.npmjs.org/vite-plugin-svgr/-/vite-plugin-svgr-3.3.0.tgz",
-      "integrity": "sha512-vWZMCcGNdPqgziYFKQ3Y95XP0d0YGp28+MM3Dp9cTa/px5CKcHHrIoPl2Jw81rgVm6/ZUNONzjXbZQZ7Kw66og==",
+    "node_modules/unist-util-position": {
+      "version": "4.0.4",
+      "resolved": "https://registry.npmjs.org/unist-util-position/-/unist-util-position-4.0.4.tgz",
+      "integrity": "sha512-kUBE91efOWfIVBo8xzh/uZQ7p9ffYRtUbMRZBNFYwf0RK8koUMx6dGUfwylLOKmaT2cs4wSW96QoYUSXAyEtpg==",
       "dependencies": {
-        "@rollup/pluginutils": "^5.0.4",
-        "@svgr/core": "^8.1.0",
-        "@svgr/plugin-jsx": "^8.1.0"
+        "@types/unist": "^2.0.0"
       },
-      "peerDependencies": {
-        "vite": "^2.6.0 || 3 || 4"
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
       }
     },
-    "node_modules/vite/node_modules/@esbuild/android-arm": {
-      "version": "0.18.20",
-      "resolved": "https://registry.npmjs.org/@esbuild/android-arm/-/android-arm-0.18.20.tgz",
-      "integrity": "sha512-fyi7TDI/ijKKNZTUJAQqiG5T7YjJXgnzkURqmGj13C6dCqckZBLdl4h7bkhHt/t0WP+zO9/zwroDvANaOqO5Sw==",
-      "cpu": [
-        "arm"
-      ],
-      "optional": true,
-      "os": [
-        "android"
-      ],
-      "engines": {
-        "node": ">=12"
+    "node_modules/unist-util-remove-position": {
+      "version": "5.0.0",
+      "resolved": "https://registry.npmjs.org/unist-util-remove-position/-/unist-util-remove-position-5.0.0.tgz",
+      "integrity": "sha512-Hp5Kh3wLxv0PHj9m2yZhhLt58KzPtEYKQQ4yxfYFEO7EvHwzyDYnduhHnY1mDxoqr7VUwVuHXk9RXKIiYS1N8Q==",
+      "dependencies": {
+        "@types/unist": "^3.0.0",
+        "unist-util-visit": "^5.0.0"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
       }
     },
-    "node_modules/vite/node_modules/@esbuild/android-arm64": {
-      "version": "0.18.20",
-      "resolved": "https://registry.npmjs.org/@esbuild/android-arm64/-/android-arm64-0.18.20.tgz",
-      "integrity": "sha512-Nz4rJcchGDtENV0eMKUNa6L12zz2zBDXuhj/Vjh18zGqB44Bi7MBMSXjgunJgjRhCmKOjnPuZp4Mb6OKqtMHLQ==",
-      "cpu": [
-        "arm64"
-      ],
-      "optional": true,
-      "os": [
-        "android"
-      ],
-      "engines": {
-        "node": ">=12"
+    "node_modules/unist-util-remove-position/node_modules/@types/unist": {
+      "version": "3.0.2",
+      "resolved": "https://registry.npmjs.org/@types/unist/-/unist-3.0.2.tgz",
+      "integrity": "sha512-dqId9J8K/vGi5Zr7oo212BGii5m3q5Hxlkwy3WpYuKPklmBEvsbMYYyLxAQpSffdLl/gdW0XUpKWFvYmyoWCoQ=="
+    },
+    "node_modules/unist-util-remove-position/node_modules/unist-util-is": {
+      "version": "6.0.0",
+      "resolved": "https://registry.npmjs.org/unist-util-is/-/unist-util-is-6.0.0.tgz",
+      "integrity": "sha512-2qCTHimwdxLfz+YzdGfkqNlH0tLi9xjTnHddPmJwtIG9MGsdbutfTc4P+haPD7l7Cjxf/WZj+we5qfVPvvxfYw==",
+      "dependencies": {
+        "@types/unist": "^3.0.0"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
       }
     },
-    "node_modules/vite/node_modules/@esbuild/android-x64": {
-      "version": "0.18.20",
-      "resolved": "https://registry.npmjs.org/@esbuild/android-x64/-/android-x64-0.18.20.tgz",
-      "integrity": "sha512-8GDdlePJA8D6zlZYJV/jnrRAi6rOiNaCC/JclcXpB+KIuvfBN4owLtgzY2bsxnx666XjJx2kDPUmnTtR8qKQUg==",
-      "cpu": [
-        "x64"
-      ],
-      "optional": true,
-      "os": [
-        "android"
-      ],
-      "engines": {
-        "node": ">=12"
+    "node_modules/unist-util-remove-position/node_modules/unist-util-visit": {
+      "version": "5.0.0",
+      "resolved": "https://registry.npmjs.org/unist-util-visit/-/unist-util-visit-5.0.0.tgz",
+      "integrity": "sha512-MR04uvD+07cwl/yhVuVWAtw+3GOR/knlL55Nd/wAdblk27GCVt3lqpTivy/tkJcZoNPzTwS1Y+KMojlLDhoTzg==",
+      "dependencies": {
+        "@types/unist": "^3.0.0",
+        "unist-util-is": "^6.0.0",
+        "unist-util-visit-parents": "^6.0.0"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
       }
     },
-    "node_modules/vite/node_modules/@esbuild/darwin-arm64": {
-      "version": "0.18.20",
-      "resolved": "https://registry.npmjs.org/@esbuild/darwin-arm64/-/darwin-arm64-0.18.20.tgz",
-      "integrity": "sha512-bxRHW5kHU38zS2lPTPOyuyTm+S+eobPUnTNkdJEfAddYgEcll4xkT8DB9d2008DtTbl7uJag2HuE5NZAZgnNEA==",
-      "cpu": [
-        "arm64"
-      ],
-      "optional": true,
-      "os": [
-        "darwin"
-      ],
-      "engines": {
-        "node": ">=12"
+    "node_modules/unist-util-remove-position/node_modules/unist-util-visit-parents": {
+      "version": "6.0.1",
+      "resolved": "https://registry.npmjs.org/unist-util-visit-parents/-/unist-util-visit-parents-6.0.1.tgz",
+      "integrity": "sha512-L/PqWzfTP9lzzEa6CKs0k2nARxTdZduw3zyh8d2NVBnsyvHjSX4TWse388YrrQKbvI8w20fGjGlhgT96WwKykw==",
+      "dependencies": {
+        "@types/unist": "^3.0.0",
+        "unist-util-is": "^6.0.0"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
       }
     },
-    "node_modules/vite/node_modules/@esbuild/darwin-x64": {
-      "version": "0.18.20",
-      "resolved": "https://registry.npmjs.org/@esbuild/darwin-x64/-/darwin-x64-0.18.20.tgz",
-      "integrity": "sha512-pc5gxlMDxzm513qPGbCbDukOdsGtKhfxD1zJKXjCCcU7ju50O7MeAZ8c4krSJcOIJGFR+qx21yMMVYwiQvyTyQ==",
-      "cpu": [
-        "x64"
-      ],
-      "optional": true,
-      "os": [
-        "darwin"
-      ],
-      "engines": {
-        "node": ">=12"
+    "node_modules/unist-util-stringify-position": {
+      "version": "3.0.3",
+      "resolved": "https://registry.npmjs.org/unist-util-stringify-position/-/unist-util-stringify-position-3.0.3.tgz",
+      "integrity": "sha512-k5GzIBZ/QatR8N5X2y+drfpWG8IDBzdnVj6OInRNWm1oXrzydiaAT2OQiA8DPRRZyAKb9b6I2a6PxYklZD0gKg==",
+      "dependencies": {
+        "@types/unist": "^2.0.0"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
       }
     },
-    "node_modules/vite/node_modules/@esbuild/freebsd-arm64": {
-      "version": "0.18.20",
-      "resolved": "https://registry.npmjs.org/@esbuild/freebsd-arm64/-/freebsd-arm64-0.18.20.tgz",
-      "integrity": "sha512-yqDQHy4QHevpMAaxhhIwYPMv1NECwOvIpGCZkECn8w2WFHXjEwrBn3CeNIYsibZ/iZEUemj++M26W3cNR5h+Tw==",
-      "cpu": [
-        "arm64"
-      ],
-      "optional": true,
-      "os": [
-        "freebsd"
-      ],
-      "engines": {
-        "node": ">=12"
+    "node_modules/unist-util-visit": {
+      "version": "4.1.2",
+      "resolved": "https://registry.npmjs.org/unist-util-visit/-/unist-util-visit-4.1.2.tgz",
+      "integrity": "sha512-MSd8OUGISqHdVvfY9TPhyK2VdUrPgxkUtWSuMHF6XAAFuL4LokseigBnZtPnJMu+FbynTkFNnFlyjxpVKujMRg==",
+      "dependencies": {
+        "@types/unist": "^2.0.0",
+        "unist-util-is": "^5.0.0",
+        "unist-util-visit-parents": "^5.1.1"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
       }
     },
-    "node_modules/vite/node_modules/@esbuild/freebsd-x64": {
-      "version": "0.18.20",
-      "resolved": "https://registry.npmjs.org/@esbuild/freebsd-x64/-/freebsd-x64-0.18.20.tgz",
-      "integrity": "sha512-tgWRPPuQsd3RmBZwarGVHZQvtzfEBOreNuxEMKFcd5DaDn2PbBxfwLcj4+aenoh7ctXcbXmOQIn8HI6mCSw5MQ==",
-      "cpu": [
-        "x64"
-      ],
-      "optional": true,
-      "os": [
-        "freebsd"
-      ],
-      "engines": {
-        "node": ">=12"
+    "node_modules/unist-util-visit-parents": {
+      "version": "5.1.3",
+      "resolved": "https://registry.npmjs.org/unist-util-visit-parents/-/unist-util-visit-parents-5.1.3.tgz",
+      "integrity": "sha512-x6+y8g7wWMyQhL1iZfhIPhDAs7Xwbn9nRosDXl7qoPTSCy0yNxnKc+hWokFifWQIDGi154rdUqKvbCa4+1kLhg==",
+      "dependencies": {
+        "@types/unist": "^2.0.0",
+        "unist-util-is": "^5.0.0"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
       }
     },
-    "node_modules/vite/node_modules/@esbuild/linux-arm": {
-      "version": "0.18.20",
-      "resolved": "https://registry.npmjs.org/@esbuild/linux-arm/-/linux-arm-0.18.20.tgz",
-      "integrity": "sha512-/5bHkMWnq1EgKr1V+Ybz3s1hWXok7mDFUMQ4cG10AfW3wL02PSZi5kFpYKrptDsgb2WAJIvRcDm+qIvXf/apvg==",
-      "cpu": [
-        "arm"
-      ],
-      "optional": true,
-      "os": [
-        "linux"
-      ],
-      "engines": {
-        "node": ">=12"
+    "node_modules/universal-cookie": {
+      "version": "7.1.4",
+      "resolved": "https://registry.npmjs.org/universal-cookie/-/universal-cookie-7.1.4.tgz",
+      "integrity": "sha512-Q+DVJsdykStWRMtXr2Pdj3EF98qZHUH/fXv/gwFz/unyToy1Ek1w5GsWt53Pf38tT8Gbcy5QNsj61Xe9TggP4g==",
+      "dependencies": {
+        "@types/cookie": "^0.6.0",
+        "cookie": "^0.6.0"
       }
     },
-    "node_modules/vite/node_modules/@esbuild/linux-arm64": {
-      "version": "0.18.20",
-      "resolved": "https://registry.npmjs.org/@esbuild/linux-arm64/-/linux-arm64-0.18.20.tgz",
-      "integrity": "sha512-2YbscF+UL7SQAVIpnWvYwM+3LskyDmPhe31pE7/aoTMFKKzIc9lLbyGUpmmb8a8AixOL61sQ/mFh3jEjHYFvdA==",
-      "cpu": [
-        "arm64"
-      ],
-      "optional": true,
-      "os": [
-        "linux"
-      ],
+    "node_modules/universalify": {
+      "version": "2.0.1",
+      "resolved": "https://registry.npmjs.org/universalify/-/universalify-2.0.1.tgz",
+      "integrity": "sha512-gptHNQghINnc/vTGIk0SOFGFNXw7JVrlRUtConJRlvaw6DuX0wO5Jeko9sWrMBhh+PsYAZ7oXAiOnf/UKogyiw==",
       "engines": {
-        "node": ">=12"
+        "node": ">= 10.0.0"
       }
     },
-    "node_modules/vite/node_modules/@esbuild/linux-ia32": {
-      "version": "0.18.20",
-      "resolved": "https://registry.npmjs.org/@esbuild/linux-ia32/-/linux-ia32-0.18.20.tgz",
-      "integrity": "sha512-P4etWwq6IsReT0E1KHU40bOnzMHoH73aXp96Fs8TIT6z9Hu8G6+0SHSw9i2isWrD2nbx2qo5yUqACgdfVGx7TA==",
-      "cpu": [
-        "ia32"
-      ],
-      "optional": true,
-      "os": [
-        "linux"
-      ],
+    "node_modules/unplugin": {
+      "version": "1.10.1",
+      "resolved": "https://registry.npmjs.org/unplugin/-/unplugin-1.10.1.tgz",
+      "integrity": "sha512-d6Mhq8RJeGA8UfKCu54Um4lFA0eSaRa3XxdAJg8tIdxbu1ubW0hBCZUL7yI2uGyYCRndvbK8FLHzqy2XKfeMsg==",
+      "dependencies": {
+        "acorn": "^8.11.3",
+        "chokidar": "^3.6.0",
+        "webpack-sources": "^3.2.3",
+        "webpack-virtual-modules": "^0.6.1"
+      },
       "engines": {
-        "node": ">=12"
+        "node": ">=14.0.0"
       }
     },
-    "node_modules/vite/node_modules/@esbuild/linux-loong64": {
-      "version": "0.18.20",
-      "resolved": "https://registry.npmjs.org/@esbuild/linux-loong64/-/linux-loong64-0.18.20.tgz",
-      "integrity": "sha512-nXW8nqBTrOpDLPgPY9uV+/1DjxoQ7DoB2N8eocyq8I9XuqJ7BiAMDMf9n1xZM9TgW0J8zrquIb/A7s3BJv7rjg==",
-      "cpu": [
-        "loong64"
-      ],
-      "optional": true,
-      "os": [
-        "linux"
+    "node_modules/update-browserslist-db": {
+      "version": "1.0.16",
+      "resolved": "https://registry.npmjs.org/update-browserslist-db/-/update-browserslist-db-1.0.16.tgz",
+      "integrity": "sha512-KVbTxlBYlckhF5wgfyZXTWnMn7MMZjMu9XG8bPlliUOP9ThaF4QnhP8qrjrH7DRzHfSk0oQv1wToW+iA5GajEQ==",
+      "funding": [
+        {
+          "type": "opencollective",
+          "url": "https://opencollective.com/browserslist"
+        },
+        {
+          "type": "tidelift",
+          "url": "https://tidelift.com/funding/github/npm/browserslist"
+        },
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/ai"
+        }
       ],
-      "engines": {
-        "node": ">=12"
+      "dependencies": {
+        "escalade": "^3.1.2",
+        "picocolors": "^1.0.1"
+      },
+      "bin": {
+        "update-browserslist-db": "cli.js"
+      },
+      "peerDependencies": {
+        "browserslist": ">= 4.21.0"
       }
     },
-    "node_modules/vite/node_modules/@esbuild/linux-mips64el": {
-      "version": "0.18.20",
-      "resolved": "https://registry.npmjs.org/@esbuild/linux-mips64el/-/linux-mips64el-0.18.20.tgz",
-      "integrity": "sha512-d5NeaXZcHp8PzYy5VnXV3VSd2D328Zb+9dEq5HE6bw6+N86JVPExrA6O68OPwobntbNJ0pzCpUFZTo3w0GyetQ==",
-      "cpu": [
-        "mips64el"
-      ],
-      "optional": true,
-      "os": [
-        "linux"
-      ],
-      "engines": {
-        "node": ">=12"
+    "node_modules/uri-js": {
+      "version": "4.4.1",
+      "resolved": "https://registry.npmjs.org/uri-js/-/uri-js-4.4.1.tgz",
+      "integrity": "sha512-7rKUyy33Q1yc98pQ1DAmLtwX109F7TIfWlW1Ydo8Wl1ii1SeHieeh0HHfPeL2fMXK6z0s8ecKs9frCuLJvndBg==",
+      "dev": true,
+      "dependencies": {
+        "punycode": "^2.1.0"
       }
     },
-    "node_modules/vite/node_modules/@esbuild/linux-ppc64": {
-      "version": "0.18.20",
-      "resolved": "https://registry.npmjs.org/@esbuild/linux-ppc64/-/linux-ppc64-0.18.20.tgz",
-      "integrity": "sha512-WHPyeScRNcmANnLQkq6AfyXRFr5D6N2sKgkFo2FqguP44Nw2eyDlbTdZwd9GYk98DZG9QItIiTlFLHJHjxP3FA==",
-      "cpu": [
-        "ppc64"
-      ],
-      "optional": true,
-      "os": [
-        "linux"
-      ],
-      "engines": {
-        "node": ">=12"
+    "node_modules/url-parse": {
+      "version": "1.5.10",
+      "resolved": "https://registry.npmjs.org/url-parse/-/url-parse-1.5.10.tgz",
+      "integrity": "sha512-WypcfiRhfeUP9vvF0j6rw0J3hrWrw6iZv3+22h6iRMJ/8z1Tj6XfLP4DsUix5MhMPnXpiHDoKyoZ/bdCkwBCiQ==",
+      "dependencies": {
+        "querystringify": "^2.1.1",
+        "requires-port": "^1.0.0"
       }
     },
-    "node_modules/vite/node_modules/@esbuild/linux-riscv64": {
-      "version": "0.18.20",
-      "resolved": "https://registry.npmjs.org/@esbuild/linux-riscv64/-/linux-riscv64-0.18.20.tgz",
-      "integrity": "sha512-WSxo6h5ecI5XH34KC7w5veNnKkju3zBRLEQNY7mv5mtBmrP/MjNBCAlsM2u5hDBlS3NGcTQpoBvRzqBcRtpq1A==",
-      "cpu": [
-        "riscv64"
-      ],
-      "optional": true,
-      "os": [
-        "linux"
-      ],
+    "node_modules/use-callback-ref": {
+      "version": "1.3.2",
+      "resolved": "https://registry.npmjs.org/use-callback-ref/-/use-callback-ref-1.3.2.tgz",
+      "integrity": "sha512-elOQwe6Q8gqZgDA8mrh44qRTQqpIHDcZ3hXTLjBe1i4ph8XpNJnO+aQf3NaG+lriLopI4HMx9VjQLfPQ6vhnoA==",
+      "dependencies": {
+        "tslib": "^2.0.0"
+      },
       "engines": {
-        "node": ">=12"
+        "node": ">=10"
+      },
+      "peerDependencies": {
+        "@types/react": "^16.8.0 || ^17.0.0 || ^18.0.0",
+        "react": "^16.8.0 || ^17.0.0 || ^18.0.0"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        }
       }
     },
-    "node_modules/vite/node_modules/@esbuild/linux-s390x": {
-      "version": "0.18.20",
-      "resolved": "https://registry.npmjs.org/@esbuild/linux-s390x/-/linux-s390x-0.18.20.tgz",
-      "integrity": "sha512-+8231GMs3mAEth6Ja1iK0a1sQ3ohfcpzpRLH8uuc5/KVDFneH6jtAJLFGafpzpMRO6DzJ6AvXKze9LfFMrIHVQ==",
-      "cpu": [
-        "s390x"
-      ],
-      "optional": true,
-      "os": [
-        "linux"
-      ],
+    "node_modules/use-sidecar": {
+      "version": "1.1.2",
+      "resolved": "https://registry.npmjs.org/use-sidecar/-/use-sidecar-1.1.2.tgz",
+      "integrity": "sha512-epTbsLuzZ7lPClpz2TyryBfztm7m+28DlEv2ZCQ3MDr5ssiwyOwGH/e5F9CkfWjJ1t4clvI58yF822/GUkjjhw==",
+      "dependencies": {
+        "detect-node-es": "^1.1.0",
+        "tslib": "^2.0.0"
+      },
       "engines": {
-        "node": ">=12"
+        "node": ">=10"
+      },
+      "peerDependencies": {
+        "@types/react": "^16.9.0 || ^17.0.0 || ^18.0.0",
+        "react": "^16.8.0 || ^17.0.0 || ^18.0.0"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        }
       }
     },
-    "node_modules/vite/node_modules/@esbuild/linux-x64": {
-      "version": "0.18.20",
-      "resolved": "https://registry.npmjs.org/@esbuild/linux-x64/-/linux-x64-0.18.20.tgz",
-      "integrity": "sha512-UYqiqemphJcNsFEskc73jQ7B9jgwjWrSayxawS6UVFZGWrAAtkzjxSqnoclCXxWtfwLdzU+vTpcNYhpn43uP1w==",
-      "cpu": [
-        "x64"
-      ],
-      "optional": true,
-      "os": [
-        "linux"
-      ],
-      "engines": {
-        "node": ">=12"
+    "node_modules/use-sync-external-store": {
+      "version": "1.2.0",
+      "resolved": "https://registry.npmjs.org/use-sync-external-store/-/use-sync-external-store-1.2.0.tgz",
+      "integrity": "sha512-eEgnFxGQ1Ife9bzYs6VLi8/4X6CObHMw9Qr9tPY43iKwsPw8xE8+EFsf/2cFZ5S3esXgpWgtSCtLNS41F+sKPA==",
+      "peerDependencies": {
+        "react": "^16.8.0 || ^17.0.0 || ^18.0.0"
       }
     },
-    "node_modules/vite/node_modules/@esbuild/netbsd-x64": {
-      "version": "0.18.20",
-      "resolved": "https://registry.npmjs.org/@esbuild/netbsd-x64/-/netbsd-x64-0.18.20.tgz",
-      "integrity": "sha512-iO1c++VP6xUBUmltHZoMtCUdPlnPGdBom6IrO4gyKPFFVBKioIImVooR5I83nTew5UOYrk3gIJhbZh8X44y06A==",
-      "cpu": [
-        "x64"
-      ],
-      "optional": true,
-      "os": [
-        "netbsd"
+    "node_modules/util-deprecate": {
+      "version": "1.0.2",
+      "resolved": "https://registry.npmjs.org/util-deprecate/-/util-deprecate-1.0.2.tgz",
+      "integrity": "sha512-EPD5q1uXyFxJpCrLnCc1nHnq3gOa6DZBocAIiI2TaSCA7VCJ1UJDMagCzIkXNsUYfD1daK//LTEQ8xiIbrHtcw=="
+    },
+    "node_modules/uuid": {
+      "version": "10.0.0",
+      "resolved": "https://registry.npmjs.org/uuid/-/uuid-10.0.0.tgz",
+      "integrity": "sha512-8XkAphELsDnEGrDxUOHB3RGvXz6TeuYSGEZBOjtTtPm2lwhGBjLgOzLHB63IUWfBpNucQjND6d3AOudO+H3RWQ==",
+      "funding": [
+        "https://github.com/sponsors/broofa",
+        "https://github.com/sponsors/ctavan"
       ],
-      "engines": {
-        "node": ">=12"
+      "bin": {
+        "uuid": "dist/bin/uuid"
       }
     },
-    "node_modules/vite/node_modules/@esbuild/openbsd-x64": {
-      "version": "0.18.20",
-      "resolved": "https://registry.npmjs.org/@esbuild/openbsd-x64/-/openbsd-x64-0.18.20.tgz",
-      "integrity": "sha512-e5e4YSsuQfX4cxcygw/UCPIEP6wbIL+se3sxPdCiMbFLBWu0eiZOJ7WoD+ptCLrmjZBK1Wk7I6D/I3NglUGOxg==",
-      "cpu": [
-        "x64"
-      ],
-      "optional": true,
-      "os": [
-        "openbsd"
-      ],
+    "node_modules/uvu": {
+      "version": "0.5.6",
+      "resolved": "https://registry.npmjs.org/uvu/-/uvu-0.5.6.tgz",
+      "integrity": "sha512-+g8ENReyr8YsOc6fv/NVJs2vFdHBnBNdfE49rshrTzDWOlUx4Gq7KOS2GD8eqhy2j+Ejq29+SbKH8yjkAqXqoA==",
+      "dependencies": {
+        "dequal": "^2.0.0",
+        "diff": "^5.0.0",
+        "kleur": "^4.0.3",
+        "sade": "^1.7.3"
+      },
+      "bin": {
+        "uvu": "bin.js"
+      },
       "engines": {
-        "node": ">=12"
+        "node": ">=8"
       }
     },
-    "node_modules/vite/node_modules/@esbuild/sunos-x64": {
-      "version": "0.18.20",
-      "resolved": "https://registry.npmjs.org/@esbuild/sunos-x64/-/sunos-x64-0.18.20.tgz",
-      "integrity": "sha512-kDbFRFp0YpTQVVrqUd5FTYmWo45zGaXe0X8E1G/LKFC0v8x0vWrhOWSLITcCn63lmZIxfOMXtCfti/RxN/0wnQ==",
-      "cpu": [
-        "x64"
-      ],
-      "optional": true,
-      "os": [
-        "sunos"
-      ],
-      "engines": {
-        "node": ">=12"
+    "node_modules/vfile": {
+      "version": "5.3.7",
+      "resolved": "https://registry.npmjs.org/vfile/-/vfile-5.3.7.tgz",
+      "integrity": "sha512-r7qlzkgErKjobAmyNIkkSpizsFPYiUPuJb5pNW1RB4JcYVZhs4lIbVqk8XPk033CV/1z8ss5pkax8SuhGpcG8g==",
+      "dependencies": {
+        "@types/unist": "^2.0.0",
+        "is-buffer": "^2.0.0",
+        "unist-util-stringify-position": "^3.0.0",
+        "vfile-message": "^3.0.0"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
       }
     },
-    "node_modules/vite/node_modules/@esbuild/win32-arm64": {
-      "version": "0.18.20",
-      "resolved": "https://registry.npmjs.org/@esbuild/win32-arm64/-/win32-arm64-0.18.20.tgz",
-      "integrity": "sha512-ddYFR6ItYgoaq4v4JmQQaAI5s7npztfV4Ag6NrhiaW0RrnOXqBkgwZLofVTlq1daVTQNhtI5oieTvkRPfZrePg==",
-      "cpu": [
-        "arm64"
-      ],
-      "optional": true,
-      "os": [
-        "win32"
-      ],
+    "node_modules/vfile-message": {
+      "version": "3.1.4",
+      "resolved": "https://registry.npmjs.org/vfile-message/-/vfile-message-3.1.4.tgz",
+      "integrity": "sha512-fa0Z6P8HUrQN4BZaX05SIVXic+7kE3b05PWAtPuYP9QLHsLKYR7/AlLW3NtOrpXRLeawpDLMsVkmk5DG0NXgWw==",
+      "dependencies": {
+        "@types/unist": "^2.0.0",
+        "unist-util-stringify-position": "^3.0.0"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
+      }
+    },
+    "node_modules/vite": {
+      "version": "5.3.1",
+      "resolved": "https://registry.npmjs.org/vite/-/vite-5.3.1.tgz",
+      "integrity": "sha512-XBmSKRLXLxiaPYamLv3/hnP/KXDai1NDexN0FpkTaZXTfycHvkRHoenpgl/fvuK/kPbB6xAgoyiryAhQNxYmAQ==",
+      "dependencies": {
+        "esbuild": "^0.21.3",
+        "postcss": "^8.4.38",
+        "rollup": "^4.13.0"
+      },
+      "bin": {
+        "vite": "bin/vite.js"
+      },
       "engines": {
-        "node": ">=12"
+        "node": "^18.0.0 || >=20.0.0"
+      },
+      "funding": {
+        "url": "https://github.com/vitejs/vite?sponsor=1"
+      },
+      "optionalDependencies": {
+        "fsevents": "~2.3.3"
+      },
+      "peerDependencies": {
+        "@types/node": "^18.0.0 || >=20.0.0",
+        "less": "*",
+        "lightningcss": "^1.21.0",
+        "sass": "*",
+        "stylus": "*",
+        "sugarss": "*",
+        "terser": "^5.4.0"
+      },
+      "peerDependenciesMeta": {
+        "@types/node": {
+          "optional": true
+        },
+        "less": {
+          "optional": true
+        },
+        "lightningcss": {
+          "optional": true
+        },
+        "sass": {
+          "optional": true
+        },
+        "stylus": {
+          "optional": true
+        },
+        "sugarss": {
+          "optional": true
+        },
+        "terser": {
+          "optional": true
+        }
       }
     },
-    "node_modules/vite/node_modules/@esbuild/win32-ia32": {
-      "version": "0.18.20",
-      "resolved": "https://registry.npmjs.org/@esbuild/win32-ia32/-/win32-ia32-0.18.20.tgz",
-      "integrity": "sha512-Wv7QBi3ID/rROT08SABTS7eV4hX26sVduqDOTe1MvGMjNd3EjOz4b7zeexIR62GTIEKrfJXKL9LFxTYgkyeu7g==",
-      "cpu": [
-        "ia32"
-      ],
-      "optional": true,
-      "os": [
-        "win32"
-      ],
-      "engines": {
-        "node": ">=12"
+    "node_modules/vite-plugin-svgr": {
+      "version": "4.2.0",
+      "resolved": "https://registry.npmjs.org/vite-plugin-svgr/-/vite-plugin-svgr-4.2.0.tgz",
+      "integrity": "sha512-SC7+FfVtNQk7So0XMjrrtLAbEC8qjFPifyD7+fs/E6aaNdVde6umlVVh0QuwDLdOMu7vp5RiGFsB70nj5yo0XA==",
+      "dependencies": {
+        "@rollup/pluginutils": "^5.0.5",
+        "@svgr/core": "^8.1.0",
+        "@svgr/plugin-jsx": "^8.1.0"
+      },
+      "peerDependencies": {
+        "vite": "^2.6.0 || 3 || 4 || 5"
       }
     },
-    "node_modules/vite/node_modules/@esbuild/win32-x64": {
-      "version": "0.18.20",
-      "resolved": "https://registry.npmjs.org/@esbuild/win32-x64/-/win32-x64-0.18.20.tgz",
-      "integrity": "sha512-kTdfRcSiDfQca/y9QIkng02avJ+NCaQvrMejlsB3RRv5sE9rRoeBPISaZpKxHELzRxZyLvNts1P27W3wV+8geQ==",
-      "cpu": [
-        "x64"
-      ],
+    "node_modules/vite/node_modules/fsevents": {
+      "version": "2.3.3",
+      "resolved": "https://registry.npmjs.org/fsevents/-/fsevents-2.3.3.tgz",
+      "integrity": "sha512-5xoDfX+fL7faATnagmWPpbFtwh/R77WmMMqqHGS65C3vvB0YHrgF+B1YmZ3441tMj5n63k0212XNoJwzlhffQw==",
+      "hasInstallScript": true,
       "optional": true,
       "os": [
-        "win32"
+        "darwin"
       ],
       "engines": {
-        "node": ">=12"
-      }
-    },
-    "node_modules/vite/node_modules/esbuild": {
-      "version": "0.18.20",
-      "resolved": "https://registry.npmjs.org/esbuild/-/esbuild-0.18.20.tgz",
-      "integrity": "sha512-ceqxoedUrcayh7Y7ZX6NdbbDzGROiyVBgC4PriJThBKSVPWnnFHZAkfI1lJT8QFkOwH4qOS2SJkS4wvpGl8BpA==",
-      "hasInstallScript": true,
-      "bin": {
-        "esbuild": "bin/esbuild"
-      },
-      "engines": {
-        "node": ">=12"
-      },
-      "optionalDependencies": {
-        "@esbuild/android-arm": "0.18.20",
-        "@esbuild/android-arm64": "0.18.20",
-        "@esbuild/android-x64": "0.18.20",
-        "@esbuild/darwin-arm64": "0.18.20",
-        "@esbuild/darwin-x64": "0.18.20",
-        "@esbuild/freebsd-arm64": "0.18.20",
-        "@esbuild/freebsd-x64": "0.18.20",
-        "@esbuild/linux-arm": "0.18.20",
-        "@esbuild/linux-arm64": "0.18.20",
-        "@esbuild/linux-ia32": "0.18.20",
-        "@esbuild/linux-loong64": "0.18.20",
-        "@esbuild/linux-mips64el": "0.18.20",
-        "@esbuild/linux-ppc64": "0.18.20",
-        "@esbuild/linux-riscv64": "0.18.20",
-        "@esbuild/linux-s390x": "0.18.20",
-        "@esbuild/linux-x64": "0.18.20",
-        "@esbuild/netbsd-x64": "0.18.20",
-        "@esbuild/openbsd-x64": "0.18.20",
-        "@esbuild/sunos-x64": "0.18.20",
-        "@esbuild/win32-arm64": "0.18.20",
-        "@esbuild/win32-ia32": "0.18.20",
-        "@esbuild/win32-x64": "0.18.20"
+        "node": "^8.16.0 || ^10.6.0 || >=11.0.0"
       }
     },
     "node_modules/w3c-xmlserializer": {
@@ -11727,6 +14477,14 @@
         "node": ">=14"
       }
     },
+    "node_modules/warning": {
+      "version": "4.0.3",
+      "resolved": "https://registry.npmjs.org/warning/-/warning-4.0.3.tgz",
+      "integrity": "sha512-rpJyN222KWIvHJ/F53XSZv0Zl/accqHR8et1kpaMTD/fLCRxtV8iX8czMzY7sVZupTI3zcUTg8eycS2kNF9l6w==",
+      "dependencies": {
+        "loose-envify": "^1.0.0"
+      }
+    },
     "node_modules/wcwidth": {
       "version": "1.0.1",
       "resolved": "https://registry.npmjs.org/wcwidth/-/wcwidth-1.0.1.tgz",
@@ -11745,17 +14503,17 @@
       }
     },
     "node_modules/web-streams-polyfill": {
-      "version": "3.3.2",
-      "resolved": "https://registry.npmjs.org/web-streams-polyfill/-/web-streams-polyfill-3.3.2.tgz",
-      "integrity": "sha512-3pRGuxRF5gpuZc0W+EpwQRmCD7gRqcDOMt688KmdlDAgAyaB1XlN0zq2njfDNm44XVdIouE7pZ6GzbdyH47uIQ==",
+      "version": "3.3.3",
+      "resolved": "https://registry.npmjs.org/web-streams-polyfill/-/web-streams-polyfill-3.3.3.tgz",
+      "integrity": "sha512-d2JWLCivmZYTSIoge9MsgFCZrt571BikcWGYkjC1khllbTeDlGqZ2D8vD8E/lJa8WGWbb7Plm8/XJYV7IJHZZw==",
       "engines": {
         "node": ">= 8"
       }
     },
     "node_modules/web-vitals": {
-      "version": "2.1.4",
-      "resolved": "https://registry.npmjs.org/web-vitals/-/web-vitals-2.1.4.tgz",
-      "integrity": "sha512-sVWcwhU5mX6crfI5Vd2dC4qchyTqxV8URinzt25XqVh+bHEPGH4C3NPrNionCP7Obx59wrYEbNlw4Z8sjALzZg=="
+      "version": "4.1.1",
+      "resolved": "https://registry.npmjs.org/web-vitals/-/web-vitals-4.1.1.tgz",
+      "integrity": "sha512-wW3cdBZ56Rc5Az8p1Pw6g1zHU7X8HPLigQjD5Z0ef3EG9SPo4iO7RxsiU87aH3xaaEw0if6Ven2s+zlNGiXYqw=="
     },
     "node_modules/webidl-conversions": {
       "version": "7.0.0",
@@ -11765,6 +14523,19 @@
         "node": ">=12"
       }
     },
+    "node_modules/webpack-sources": {
+      "version": "3.2.3",
+      "resolved": "https://registry.npmjs.org/webpack-sources/-/webpack-sources-3.2.3.tgz",
+      "integrity": "sha512-/DyMEOrDgLKKIG0fmvtz+4dUX/3Ghozwgm6iPp8KRhvn+eQf9+Q7GWxVNMk3+uCPWfdXYC4ExGBckIXdFEfH1w==",
+      "engines": {
+        "node": ">=10.13.0"
+      }
+    },
+    "node_modules/webpack-virtual-modules": {
+      "version": "0.6.2",
+      "resolved": "https://registry.npmjs.org/webpack-virtual-modules/-/webpack-virtual-modules-0.6.2.tgz",
+      "integrity": "sha512-66/V2i5hQanC51vBQKPH4aI8NMAcBW59FVBs+rC7eGHupMyfn34q7rZIE+ETlJ+XTevqfUhVVBgSUNSW2flEUQ=="
+    },
     "node_modules/whatwg-encoding": {
       "version": "2.0.0",
       "resolved": "https://registry.npmjs.org/whatwg-encoding/-/whatwg-encoding-2.0.0.tgz",
@@ -11776,6 +14547,11 @@
         "node": ">=12"
       }
     },
+    "node_modules/whatwg-fetch": {
+      "version": "3.6.20",
+      "resolved": "https://registry.npmjs.org/whatwg-fetch/-/whatwg-fetch-3.6.20.tgz",
+      "integrity": "sha512-EqhiFU6daOA8kpjOWTL0olhVOF3i7OrFzSYiGsEMB8GcXS+RrzauAERX65xMeNWVqxA6HXH2m69Z9LaKKdisfg=="
+    },
     "node_modules/whatwg-mimetype": {
       "version": "3.0.0",
       "resolved": "https://registry.npmjs.org/whatwg-mimetype/-/whatwg-mimetype-3.0.0.tgz",
@@ -11785,95 +14561,67 @@
       }
     },
     "node_modules/whatwg-url": {
-      "version": "11.0.0",
-      "resolved": "https://registry.npmjs.org/whatwg-url/-/whatwg-url-11.0.0.tgz",
-      "integrity": "sha512-RKT8HExMpoYx4igMiVMY83lN6UeITKJlBQ+vR/8ZJ8OCdSiN3RwCq+9gH0+Xzj0+5IrM6i4j/6LuvzbZIQgEcQ==",
+      "version": "5.0.0",
+      "resolved": "https://registry.npmjs.org/whatwg-url/-/whatwg-url-5.0.0.tgz",
+      "integrity": "sha512-saE57nupxk6v3HY35+jzBwYa0rKSy0XR8JSxZPwgLr7ys0IBzhGviA1/TUGJLmSVqs8pb9AnvICXEuOHLprYTw==",
       "dependencies": {
-        "tr46": "^3.0.0",
-        "webidl-conversions": "^7.0.0"
-      },
-      "engines": {
-        "node": ">=12"
+        "tr46": "~0.0.3",
+        "webidl-conversions": "^3.0.0"
       }
     },
+    "node_modules/whatwg-url/node_modules/webidl-conversions": {
+      "version": "3.0.1",
+      "resolved": "https://registry.npmjs.org/webidl-conversions/-/webidl-conversions-3.0.1.tgz",
+      "integrity": "sha512-2JAn3z8AR6rjK8Sm8orRC0h/bcl/DqL7tRPdGZ4I1CjdF+EaMLmYxBHyXuKL849eucPFhvBoxMsflfOb8kxaeQ=="
+    },
     "node_modules/which": {
-      "version": "1.3.1",
-      "resolved": "https://registry.npmjs.org/which/-/which-1.3.1.tgz",
-      "integrity": "sha512-HxJdYWq1MTIQbJ3nw0cqssHoTNU267KlrDuGZ1WYlxDStUtKUhOaJmh112/TZmHxxUfuJqPXSOm7tDyas0OSIQ==",
-      "dev": true,
+      "version": "2.0.2",
+      "resolved": "https://registry.npmjs.org/which/-/which-2.0.2.tgz",
+      "integrity": "sha512-BLI3Tl1TW3Pvl70l3yq3Y64i+awpwXqsGBYWkkqMtnbXgrMD+yj7rhW0kuEDxzJaYXGjEW5ogapKNMEKNMjibA==",
       "dependencies": {
         "isexe": "^2.0.0"
       },
       "bin": {
-        "which": "bin/which"
-      }
-    },
-    "node_modules/which-boxed-primitive": {
-      "version": "1.0.2",
-      "resolved": "https://registry.npmjs.org/which-boxed-primitive/-/which-boxed-primitive-1.0.2.tgz",
-      "integrity": "sha512-bwZdv0AKLpplFY2KZRX6TvyuN7ojjr7lwkg6ml0roIy9YeuSr7JS372qlNW18UQYzgYK9ziGcerWqZOmEn9VNg==",
-      "dev": true,
-      "dependencies": {
-        "is-bigint": "^1.0.1",
-        "is-boolean-object": "^1.1.0",
-        "is-number-object": "^1.0.4",
-        "is-string": "^1.0.5",
-        "is-symbol": "^1.0.3"
+        "node-which": "bin/node-which"
       },
-      "funding": {
-        "url": "https://github.com/sponsors/ljharb"
+      "engines": {
+        "node": ">= 8"
       }
     },
-    "node_modules/which-collection": {
-      "version": "1.0.1",
-      "resolved": "https://registry.npmjs.org/which-collection/-/which-collection-1.0.1.tgz",
-      "integrity": "sha512-W8xeTUwaln8i3K/cY1nGXzdnVZlidBcagyNFtBdD5kxnb4TvGKR7FfSIS3mYpwWS1QUCutfKz8IY8RjftB0+1A==",
-      "dev": true,
+    "node_modules/wicked-good-xpath": {
+      "version": "1.3.0",
+      "resolved": "https://registry.npmjs.org/wicked-good-xpath/-/wicked-good-xpath-1.3.0.tgz",
+      "integrity": "sha512-Gd9+TUn5nXdwj/hFsPVx5cuHHiF5Bwuc30jZ4+ronF1qHK5O7HD0sgmXWSEgwKquT3ClLoKPVbO6qGwVwLzvAw=="
+    },
+    "node_modules/wide-align": {
+      "version": "1.1.5",
+      "resolved": "https://registry.npmjs.org/wide-align/-/wide-align-1.1.5.tgz",
+      "integrity": "sha512-eDMORYaPNZ4sQIuuYPDHdQvf4gyCF9rEEV/yPxGfwPkRodwEgiMUUXTx/dex+Me0wxx53S+NgUHaP7y3MGlDmg==",
+      "optional": true,
       "dependencies": {
-        "is-map": "^2.0.1",
-        "is-set": "^2.0.1",
-        "is-weakmap": "^2.0.1",
-        "is-weakset": "^2.0.1"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/ljharb"
+        "string-width": "^1.0.2 || 2 || 3 || 4"
       }
     },
-    "node_modules/which-typed-array": {
-      "version": "1.1.14",
-      "resolved": "https://registry.npmjs.org/which-typed-array/-/which-typed-array-1.1.14.tgz",
-      "integrity": "sha512-VnXFiIW8yNn9kIHN88xvZ4yOWchftKDsRJ8fEPacX/wl1lOvBrhsJ/OeJCXq7B0AaijRuqgzSKalJoPk+D8MPg==",
+    "node_modules/word-wrap": {
+      "version": "1.2.5",
+      "resolved": "https://registry.npmjs.org/word-wrap/-/word-wrap-1.2.5.tgz",
+      "integrity": "sha512-BN22B5eaMMI9UMtjrGd5g5eCYPpCPDUy0FJXbYsaT5zYxjFOckS53SQDE3pWkVoWpHXVb3BrYcEN4Twa55B5cA==",
       "dev": true,
-      "dependencies": {
-        "available-typed-arrays": "^1.0.6",
-        "call-bind": "^1.0.5",
-        "for-each": "^0.3.3",
-        "gopd": "^1.0.1",
-        "has-tostringtag": "^1.0.1"
-      },
       "engines": {
-        "node": ">= 0.4"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/ljharb"
+        "node": ">=0.10.0"
       }
     },
-    "node_modules/wicked-good-xpath": {
-      "version": "1.3.0",
-      "resolved": "https://registry.npmjs.org/wicked-good-xpath/-/wicked-good-xpath-1.3.0.tgz",
-      "integrity": "sha512-Gd9+TUn5nXdwj/hFsPVx5cuHHiF5Bwuc30jZ4+ronF1qHK5O7HD0sgmXWSEgwKquT3ClLoKPVbO6qGwVwLzvAw=="
-    },
     "node_modules/wrap-ansi": {
-      "version": "8.1.0",
-      "resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-8.1.0.tgz",
-      "integrity": "sha512-si7QWI6zUMq56bESFvagtmzMdGOtoxfR+Sez11Mobfc7tm+VkUckk9bW2UeffTGVUbOksxmSw0AA2gs8g71NCQ==",
+      "version": "7.0.0",
+      "resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-7.0.0.tgz",
+      "integrity": "sha512-YVGIj2kamLSTxw6NsZjoBxfSwsn0ycdesmc4p+Q21c5zPuZ1pl+NfxVdxPtdHvmNVOQ6XSYG4AUtyt/Fi7D16Q==",
       "dependencies": {
-        "ansi-styles": "^6.1.0",
-        "string-width": "^5.0.1",
-        "strip-ansi": "^7.0.1"
+        "ansi-styles": "^4.0.0",
+        "string-width": "^4.1.0",
+        "strip-ansi": "^6.0.0"
       },
       "engines": {
-        "node": ">=12"
+        "node": ">=10"
       },
       "funding": {
         "url": "https://github.com/chalk/wrap-ansi?sponsor=1"
@@ -11896,59 +14644,76 @@
         "url": "https://github.com/chalk/wrap-ansi?sponsor=1"
       }
     },
-    "node_modules/wrap-ansi-cjs/node_modules/strip-ansi": {
-      "version": "6.0.1",
-      "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-6.0.1.tgz",
-      "integrity": "sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A==",
+    "node_modules/wrap-ansi-cjs/node_modules/ansi-styles": {
+      "version": "4.3.0",
+      "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-4.3.0.tgz",
+      "integrity": "sha512-zbB9rCJAT1rbjiVDb2hqKFHNYLxgtk8NURxZ3IZwD3F6NtxbXZQCnnSi1Lkx+IDohdPlFp222wVALIheZJQSEg==",
       "dependencies": {
-        "ansi-regex": "^5.0.1"
+        "color-convert": "^2.0.1"
       },
       "engines": {
         "node": ">=8"
+      },
+      "funding": {
+        "url": "https://github.com/chalk/ansi-styles?sponsor=1"
+      }
+    },
+    "node_modules/wrap-ansi-cjs/node_modules/color-convert": {
+      "version": "2.0.1",
+      "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-2.0.1.tgz",
+      "integrity": "sha512-RRECPsj7iu/xb5oKYcsFHSppFNnsj/52OVTRKb4zP5onXwVF3zVmmToNcOfGC+CRDpfK/U584fMg38ZHCaElKQ==",
+      "dependencies": {
+        "color-name": "~1.1.4"
+      },
+      "engines": {
+        "node": ">=7.0.0"
       }
     },
+    "node_modules/wrap-ansi-cjs/node_modules/color-name": {
+      "version": "1.1.4",
+      "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz",
+      "integrity": "sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA=="
+    },
     "node_modules/wrap-ansi/node_modules/ansi-styles": {
-      "version": "6.2.1",
-      "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-6.2.1.tgz",
-      "integrity": "sha512-bN798gFfQX+viw3R7yrGWRqnrN2oRkEkUjjl4JNn4E8GxxbjtG3FbrEIIY3l8/hrwUwIeCZvi4QuOTP4MErVug==",
+      "version": "4.3.0",
+      "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-4.3.0.tgz",
+      "integrity": "sha512-zbB9rCJAT1rbjiVDb2hqKFHNYLxgtk8NURxZ3IZwD3F6NtxbXZQCnnSi1Lkx+IDohdPlFp222wVALIheZJQSEg==",
+      "dependencies": {
+        "color-convert": "^2.0.1"
+      },
       "engines": {
-        "node": ">=12"
+        "node": ">=8"
       },
       "funding": {
         "url": "https://github.com/chalk/ansi-styles?sponsor=1"
       }
     },
-    "node_modules/wrap-ansi/node_modules/emoji-regex": {
-      "version": "9.2.2",
-      "resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-9.2.2.tgz",
-      "integrity": "sha512-L18DaJsXSUk2+42pv8mLs5jJT2hqFkFE4j21wOmgbUqsZ2hL72NsUU785g9RXgo3s0ZNgVl42TiHp3ZtOv/Vyg=="
-    },
-    "node_modules/wrap-ansi/node_modules/string-width": {
-      "version": "5.1.2",
-      "resolved": "https://registry.npmjs.org/string-width/-/string-width-5.1.2.tgz",
-      "integrity": "sha512-HnLOCR3vjcY8beoNLtcjZ5/nxn2afmME6lhrDrebokqMap+XbeW8n9TXpPDOqdGK5qcI3oT0GKTW6wC7EMiVqA==",
+    "node_modules/wrap-ansi/node_modules/color-convert": {
+      "version": "2.0.1",
+      "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-2.0.1.tgz",
+      "integrity": "sha512-RRECPsj7iu/xb5oKYcsFHSppFNnsj/52OVTRKb4zP5onXwVF3zVmmToNcOfGC+CRDpfK/U584fMg38ZHCaElKQ==",
       "dependencies": {
-        "eastasianwidth": "^0.2.0",
-        "emoji-regex": "^9.2.2",
-        "strip-ansi": "^7.0.1"
+        "color-name": "~1.1.4"
       },
       "engines": {
-        "node": ">=12"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/sindresorhus"
+        "node": ">=7.0.0"
       }
     },
+    "node_modules/wrap-ansi/node_modules/color-name": {
+      "version": "1.1.4",
+      "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz",
+      "integrity": "sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA=="
+    },
     "node_modules/wrappy": {
       "version": "1.0.2",
       "resolved": "https://registry.npmjs.org/wrappy/-/wrappy-1.0.2.tgz",
       "integrity": "sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ==",
-      "dev": true
+      "devOptional": true
     },
     "node_modules/ws": {
-      "version": "8.16.0",
-      "resolved": "https://registry.npmjs.org/ws/-/ws-8.16.0.tgz",
-      "integrity": "sha512-HS0c//TP7Ina87TfiPUz1rQzMhHrl/SG2guqRcTOIUYD2q8uhUdNHZYJUaQ8aTGPzCh+c6oawMKW35nFl1dxyQ==",
+      "version": "8.17.1",
+      "resolved": "https://registry.npmjs.org/ws/-/ws-8.17.1.tgz",
+      "integrity": "sha512-6XQFvXTkbfUOZOKKILFG1PDK2NDQs4azKQl26T0YS5CxqWLgXajbPZ+h4gZekJyRqFU8pvnbAbbs/3TgRPy+GQ==",
       "engines": {
         "node": ">=10.0.0"
       },
@@ -11986,6 +14751,14 @@
         "node": ">=0.1"
       }
     },
+    "node_modules/xmlhttprequest-ssl": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/xmlhttprequest-ssl/-/xmlhttprequest-ssl-2.0.0.tgz",
+      "integrity": "sha512-QKxVRxiRACQcVuQEYFsI1hhkrMlrXHPegbbd1yn9UHOmRxY+si12nQYzri3vbzt8VdTTRviqcKxcyllFas5z2A==",
+      "engines": {
+        "node": ">=0.4.0"
+      }
+    },
     "node_modules/xtend": {
       "version": "4.0.2",
       "resolved": "https://registry.npmjs.org/xtend/-/xtend-4.0.2.tgz",
@@ -11994,32 +14767,87 @@
         "node": ">=0.4"
       }
     },
+    "node_modules/xycolors": {
+      "version": "0.1.2",
+      "resolved": "https://registry.npmjs.org/xycolors/-/xycolors-0.1.2.tgz",
+      "integrity": "sha512-iUIDKoRUq/6Nfkiwv/PqxR6ENzgLkaaOeWwY54CtObpEwmvQHCvsgxd5xIGfEF/QU75H2quxIffOoU4tf2kKDg==",
+      "funding": {
+        "url": "https://github.com/sponsors/xinyao27"
+      }
+    },
+    "node_modules/y18n": {
+      "version": "5.0.8",
+      "resolved": "https://registry.npmjs.org/y18n/-/y18n-5.0.8.tgz",
+      "integrity": "sha512-0pfFzegeDWJHJIAmTLRP2DwHjdF5s7jo9tuztdQxAhINCdvS+3nGINqPd00AphqJR/0LhANUS6/+7SCb98YOfA==",
+      "engines": {
+        "node": ">=10"
+      }
+    },
     "node_modules/yallist": {
-      "version": "2.1.2",
-      "resolved": "https://registry.npmjs.org/yallist/-/yallist-2.1.2.tgz",
-      "integrity": "sha512-ncTzHV7NvsQZkYe1DW7cbDLm0YpzHmZF5r/iyP3ZnQtMiJ+pjzisCiMNI+Sj+xQF5pXhSHxSB3uDbsBTzY/c2A==",
-      "dev": true
+      "version": "3.1.1",
+      "resolved": "https://registry.npmjs.org/yallist/-/yallist-3.1.1.tgz",
+      "integrity": "sha512-a4UGQaWPH59mOXUYnAG2ewncQS4i4F43Tv3JoAM+s2VDAmS9NsK8GpDMLrCHPksFT7h3K6TOoUNn2pb7RoXx4g=="
     },
     "node_modules/yaml": {
-      "version": "1.10.2",
-      "resolved": "https://registry.npmjs.org/yaml/-/yaml-1.10.2.tgz",
-      "integrity": "sha512-r3vXyErRCYJ7wg28yvBY5VSoAF8ZvlcW9/BwUzEtUsjvX/DKs24dIkuwjtuprwJJHsbyUbLApepYTR1BN4uHrg==",
+      "version": "2.4.5",
+      "resolved": "https://registry.npmjs.org/yaml/-/yaml-2.4.5.tgz",
+      "integrity": "sha512-aBx2bnqDzVOyNKfsysjA2ms5ZlnjSAW2eG3/L5G/CSujfjLJTJsEw1bGw8kCf04KodQWk1pxlGnZ56CRxiawmg==",
+      "bin": {
+        "yaml": "bin.mjs"
+      },
       "engines": {
-        "node": ">= 6"
+        "node": ">= 14"
+      }
+    },
+    "node_modules/yargs": {
+      "version": "17.7.2",
+      "resolved": "https://registry.npmjs.org/yargs/-/yargs-17.7.2.tgz",
+      "integrity": "sha512-7dSzzRQ++CKnNI/krKnYRV7JKKPUXMEh61soaHKg9mrWEhzFWhFnxPxGl+69cD1Ou63C13NUPCnmIcrvqCuM6w==",
+      "dependencies": {
+        "cliui": "^8.0.1",
+        "escalade": "^3.1.1",
+        "get-caller-file": "^2.0.5",
+        "require-directory": "^2.1.1",
+        "string-width": "^4.2.3",
+        "y18n": "^5.0.5",
+        "yargs-parser": "^21.1.1"
+      },
+      "engines": {
+        "node": ">=12"
+      }
+    },
+    "node_modules/yargs-parser": {
+      "version": "21.1.1",
+      "resolved": "https://registry.npmjs.org/yargs-parser/-/yargs-parser-21.1.1.tgz",
+      "integrity": "sha512-tVpsJW7DdjecAiFpbIB1e3qxIQsE6NoPc5/eTdrbbIC4h0LVsWhnoa3g+m2HclBIujHzsxZ4VJVA+GUuc2/LBw==",
+      "engines": {
+        "node": ">=12"
+      }
+    },
+    "node_modules/yocto-queue": {
+      "version": "0.1.0",
+      "resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-0.1.0.tgz",
+      "integrity": "sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q==",
+      "dev": true,
+      "engines": {
+        "node": ">=10"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
       }
     },
     "node_modules/zod": {
-      "version": "3.22.4",
-      "resolved": "https://registry.npmjs.org/zod/-/zod-3.22.4.tgz",
-      "integrity": "sha512-iC+8Io04lddc+mVqQ9AZ7OQ2MrUKGN+oIQyq1vemgt46jwCwLfhq7/pwnBnNXXXZb8VTVLKwp9EDkx+ryxIWmg==",
+      "version": "3.23.8",
+      "resolved": "https://registry.npmjs.org/zod/-/zod-3.23.8.tgz",
+      "integrity": "sha512-XBx9AXhXktjUqnepgTiE5flcKIYWi/rme0Eaj+5Y0lftuGBq+jyRu/md4WnuxqgP1ubdpNCsYEYPxrzVHD8d6g==",
       "funding": {
         "url": "https://github.com/sponsors/colinhacks"
       }
     },
     "node_modules/zustand": {
-      "version": "4.5.0",
-      "resolved": "https://registry.npmjs.org/zustand/-/zustand-4.5.0.tgz",
-      "integrity": "sha512-zlVFqS5TQ21nwijjhJlx4f9iGrXSL0o/+Dpy4txAP22miJ8Ti6c1Ol1RLNN98BMib83lmDH/2KmLwaNXpjrO1A==",
+      "version": "4.5.2",
+      "resolved": "https://registry.npmjs.org/zustand/-/zustand-4.5.2.tgz",
+      "integrity": "sha512-2cN1tPkDVkwCy5ickKrI7vijSjPksFRfqS6237NzT0vqSsztTNnQdHw9mmN7uBdk3gceVXU0a+21jFzFzAc9+g==",
       "dependencies": {
         "use-sync-external-store": "1.2.0"
       },
diff --git a/src/frontend/package.json b/src/frontend/package.json
index 5ee8b674147..a4b10db6c7a 100644
--- a/src/frontend/package.json
+++ b/src/frontend/package.json
@@ -3,79 +3,86 @@
   "version": "0.1.2",
   "private": true,
   "dependencies": {
-    "@emotion/react": "^11.11.1",
-    "@emotion/styled": "^11.11.0",
-    "@headlessui/react": "^1.7.17",
-    "@heroicons/react": "^2.0.18",
-    "@mui/material": "^5.14.7",
-    "@preact/signals-react": "^2.0.0",
+    "@headlessui/react": "^2.0.4",
+    "@hookform/resolvers": "^3.6.0",
+    "@million/lint": "^1.0.0-rc.26",
     "@radix-ui/react-accordion": "^1.1.2",
     "@radix-ui/react-checkbox": "^1.0.4",
-    "@radix-ui/react-dialog": "^1.0.4",
-    "@radix-ui/react-dropdown-menu": "^2.0.5",
+    "@radix-ui/react-dialog": "^1.0.5",
+    "@radix-ui/react-dropdown-menu": "^2.0.6",
     "@radix-ui/react-form": "^0.0.3",
     "@radix-ui/react-icons": "^1.3.0",
     "@radix-ui/react-label": "^2.0.2",
-    "@radix-ui/react-menubar": "^1.0.3",
-    "@radix-ui/react-popover": "^1.0.6",
+    "@radix-ui/react-menubar": "^1.0.4",
+    "@radix-ui/react-popover": "^1.0.7",
     "@radix-ui/react-progress": "^1.0.3",
-    "@radix-ui/react-select": "^1.2.2",
+    "@radix-ui/react-select": "^2.0.0",
     "@radix-ui/react-separator": "^1.0.3",
     "@radix-ui/react-slot": "^1.0.2",
     "@radix-ui/react-switch": "^1.0.3",
     "@radix-ui/react-tabs": "^1.0.4",
-    "@radix-ui/react-tooltip": "^1.0.6",
-    "@tabler/icons-react": "^2.32.0",
-    "@tailwindcss/forms": "^0.5.6",
+    "@radix-ui/react-toggle": "^1.0.3",
+    "@radix-ui/react-tooltip": "^1.0.7",
+    "@tabler/icons-react": "^3.6.0",
+    "@tailwindcss/forms": "^0.5.7",
     "@tailwindcss/line-clamp": "^0.4.4",
     "@types/axios": "^0.14.0",
-    "accordion": "^3.0.2",
-    "ace-builds": "^1.24.1",
-    "add": "^2.0.6",
+    "ace-builds": "^1.35.0",
+    "ag-grid-community": "^31.3.2",
+    "ag-grid-react": "^31.3.2",
     "ansi-to-html": "^0.7.2",
-    "axios": "^1.5.0",
+    "axios": "^1.7.2",
     "base64-js": "^1.5.1",
-    "class-variance-authority": "^0.6.1",
-    "clsx": "^1.2.1",
-    "dompurify": "^3.0.5",
-    "esbuild": "^0.17.19",
+    "class-variance-authority": "^0.7.0",
+    "clsx": "^2.1.1",
+    "cmdk": "^1.0.0",
+    "dompurify": "^3.1.5",
+    "dotenv": "^16.4.5",
+    "emoji-regex": "^10.3.0",
+    "esbuild": "^0.21.5",
+    "file-saver": "^2.0.5",
+    "framer-motion": "^11.2.10",
     "lodash": "^4.17.21",
-    "lucide-react": "^0.233.0",
-    "moment": "^2.29.4",
-    "react": "^18.2.0",
-    "react-ace": "^10.1.0",
-    "react-cookie": "^4.1.1",
-    "react-dom": "^18.2.0",
-    "react-error-boundary": "^4.0.11",
-    "react-icons": "^4.10.1",
+    "lucide-react": "^0.395.0",
+    "million": "^3.1.11",
+    "moment": "^2.30.1",
+    "openseadragon": "^4.1.1",
+    "p-debounce": "^4.0.0",
+    "playwright": "^1.44.1",
+    "react": "^18.3.1",
+    "react-ace": "^11.0.1",
+    "react-cookie": "^7.1.4",
+    "react-dom": "^18.3.1",
+    "react-error-boundary": "^4.0.13",
+    "react-hook-form": "^7.52.0",
+    "react-hotkeys-hook": "^4.5.0",
+    "react-icons": "^5.2.1",
     "react-laag": "^2.0.5",
     "react-markdown": "^8.0.7",
-    "react-router-dom": "^6.15.0",
+    "react-pdf": "^9.0.0",
+    "react-router-dom": "^6.23.1",
     "react-syntax-highlighter": "^15.5.0",
-    "react-tabs": "^6.0.2",
-    "react-tooltip": "^5.21.1",
-    "react18-json-view": "^0.2.3",
-    "reactflow": "^11.9.2",
+    "react18-json-view": "^0.2.8",
+    "reactflow": "^11.11.3",
     "rehype-mathjax": "^4.0.3",
-    "remark-gfm": "^3.0.1",
-    "remark-math": "^5.1.1",
-    "shadcn-ui": "^0.2.3",
-    "short-unique-id": "^4.4.4",
-    "switch": "^0.0.0",
-    "table": "^6.8.1",
-    "tailwind-merge": "^1.14.0",
+    "remark-gfm": "3.0.1",
+    "remark-math": "^6.0.0",
+    "shadcn-ui": "^0.8.0",
+    "short-unique-id": "^5.2.0",
+    "tailwind-merge": "^2.3.0",
     "tailwindcss-animate": "^1.0.7",
-    "uuid": "^9.0.0",
-    "vite-plugin-svgr": "^3.2.0",
-    "web-vitals": "^2.1.4",
-    "zustand": "^4.4.7"
+    "uuid": "^10.0.0",
+    "vite-plugin-svgr": "^4.2.0",
+    "web-vitals": "^4.1.1",
+    "zod": "^3.23.8",
+    "zustand": "^4.5.2"
   },
   "scripts": {
     "dev:docker": "vite --host 0.0.0.0",
     "start": "vite",
     "build": "vite build",
     "serve": "vite preview",
-    "format": "npx prettier --write \"./**/*.{js,jsx,ts,tsx,json,md}\"",
+    "format": "npx prettier --write \"{tests,src}/**/*.{js,jsx,ts,tsx,json,md}\" --ignore-path .prettierignore",
     "type-check": "tsc --noEmit --pretty --project tsconfig.json && vite"
   },
   "eslintConfig": {
@@ -98,29 +105,31 @@
   },
   "proxy": "http://127.0.0.1:7860",
   "devDependencies": {
-    "@playwright/test": "^1.38.0",
-    "@swc/cli": "^0.1.62",
-    "@swc/core": "^1.3.80",
-    "@tailwindcss/typography": "^0.5.9",
-    "@testing-library/jest-dom": "^5.17.0",
-    "@testing-library/react": "^13.4.0",
-    "@testing-library/user-event": "^13.5.0",
-    "@types/jest": "^27.5.2",
-    "@types/lodash": "^4.14.197",
-    "@types/node": "^16.18.46",
-    "@types/react": "^18.2.21",
-    "@types/react-dom": "^18.2.7",
-    "@types/uuid": "^9.0.2",
-    "@vitejs/plugin-react-swc": "^3.3.2",
-    "autoprefixer": "^10.4.15",
-    "daisyui": "^4.0.4",
-    "postcss": "^8.4.29",
-    "prettier": "^2.8.8",
-    "prettier-plugin-organize-imports": "^3.2.3",
-    "prettier-plugin-tailwindcss": "^0.3.0",
-    "pretty-quick": "^3.1.3",
-    "tailwindcss": "^3.3.3",
-    "typescript": "^5.2.2",
-    "vite": "^4.5.2"
+    "@playwright/test": "^1.44.1",
+    "@swc/cli": "^0.3.12",
+    "@swc/core": "^1.6.1",
+    "@tailwindcss/typography": "^0.5.13",
+    "@testing-library/jest-dom": "^6.4.6",
+    "@testing-library/react": "^16.0.0",
+    "@testing-library/user-event": "^14.5.2",
+    "@types/jest": "^29.5.12",
+    "@types/node": "^20.14.2",
+    "@types/react": "^18.3.3",
+    "@types/react-dom": "^18.3.0",
+    "@types/uuid": "^9.0.8",
+    "@types/lodash": "4.17.5",
+    "@vitejs/plugin-react-swc": "^3.7.0",
+    "autoprefixer": "^10.4.19",
+    "eslint": "^9.5.0",
+    "postcss": "^8.4.38",
+    "prettier": "^3.3.2",
+    "prettier-plugin-organize-imports": "^3.2.4",
+    "prettier-plugin-tailwindcss": "^0.6.4",
+    "simple-git-hooks": "^2.11.1",
+    "tailwindcss": "^3.4.4",
+    "tailwindcss-dotted-background": "^1.1.0",
+    "typescript": "^5.4.5",
+    "ua-parser-js": "^1.0.38",
+    "vite": "^5.3.1"
   }
 }
diff --git a/src/frontend/playwright-report/index.html b/src/frontend/playwright-report/index.html
deleted file mode 100644
index e634446defd..00000000000
--- a/src/frontend/playwright-report/index.html
+++ /dev/null
@@ -1,18 +0,0 @@
-<!DOCTYPE html>
-<html lang="en">
-  <head>
-    <meta charset="UTF-8" />
-    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <title>Document</title>
-  </head>
-  <body>
-    <ul>
-      <li>
-        <a href="./e2e/index.html">e2e report</a>
-      </li>
-      <li>
-        <a href="./onlyFront/index.html">frontEnd Only report</a>
-      </li>
-    </ul>
-  </body>
-</html>
diff --git a/src/frontend/playwright.config.ts b/src/frontend/playwright.config.ts
index a563c65f776..5af71db80ac 100644
--- a/src/frontend/playwright.config.ts
+++ b/src/frontend/playwright.config.ts
@@ -1,86 +1,94 @@
 import { defineConfig, devices } from "@playwright/test";
+import * as dotenv from "dotenv";
+import path from "path";
+dotenv.config();
+dotenv.config({ path: path.resolve(__dirname, "../../.env") });
 
 /**
  * Read environment variables from file.
  * https://github.com/motdotla/dotenv
  */
-// require('dotenv').config();
-
 /**
  * See https://playwright.dev/docs/test-configuration.
  */
+
 export default defineConfig({
   testDir: "./tests",
   /* Run tests in files in parallel */
-  fullyParallel: true,
+  fullyParallel: false,
   /* Fail the build on CI if you accidentally left test.only in the source code. */
   forbidOnly: !!process.env.CI,
   /* Retry on CI only */
   retries: process.env.CI ? 2 : 0,
   /* Opt out of parallel tests on CI. */
-  workers: process.env.CI ? 2 : undefined,
+  workers: 1,
   /* Reporter to use. See https://playwright.dev/docs/test-reporters */
-  reporter: [
-    ["html", { open: "never", outputFolder: "playwright-report/test-results" }],
-  ],
+  timeout: 120 * 1000,
+  // reporter: [
+  //   ["html", { open: "never", outputFolder: "playwright-report/test-results" }],
+  // ],
+  reporter: process.env.CI ? "blob" : "html",
   /* Shared settings for all the projects below. See https://playwright.dev/docs/api/class-testoptions. */
   use: {
     /* Base URL to use in actions like `await page.goto('/')`. */
-    // baseURL: "http://127.0.0.1:3000",
+    baseURL: "http://localhost:3000/",
 
     /* Collect trace when retrying the failed test. See https://playwright.dev/docs/trace-viewer */
     trace: "on-first-retry",
   },
 
+  globalTeardown: require.resolve("./tests/globalTeardown.ts"),
+
   /* Configure projects for major browsers */
   projects: [
     {
       name: "chromium",
-      use: { ...devices["Desktop Chrome"] },
-    },
-
-    {
-      name: "firefox",
-      use: { ...devices["Desktop Firefox"] },
+      use: {
+        ...devices["Desktop Chrome"],
+        launchOptions: {
+          // headless: false,
+        },
+        contextOptions: {
+          // chromium-specific permissions
+          permissions: ["clipboard-read", "clipboard-write"],
+        },
+      },
     },
 
     // {
-    //   name: "webkit",
-    //   use: { ...devices["Desktop Safari"] },
-    // },
-
-    /* Test against mobile viewports. */
-    // {
-    //   name: 'Mobile Chrome',
-    //   use: { ...devices['Pixel 5'] },
-    // },
-    // {
-    //   name: 'Mobile Safari',
-    //   use: { ...devices['iPhone 12'] },
-    // },
-
-    /* Test against branded browsers. */
-    // {
-    //   name: 'Microsoft Edge',
-    //   use: { ...devices['Desktop Edge'], channel: 'msedge' },
-    // },
-    // {
-    //   name: 'Google Chrome',
-    //   use: { ...devices['Desktop Chrome'], channel: 'chrome' },
+    //   name: "firefox",
+    //   use: {
+    //     ...devices["Desktop Firefox"],
+    //     launchOptions: {
+    //       headless: false,
+    //       firefoxUserPrefs: {
+    //         "dom.events.asyncClipboard.readText": true,
+    //         "dom.events.testing.asyncClipboard": true,
+    //       },
+    //     },
+    //   },
     // },
   ],
+  webServer: [
+    {
+      command:
+        "poetry run uvicorn --factory langflow.main:create_app --host 127.0.0.1 --port 7860 --loop asyncio",
+      port: 7860,
+      env: {
+        LANGFLOW_DATABASE_URL: "sqlite:///./temp",
+        LANGFLOW_AUTO_LOGIN: "true",
+      },
+      stdout: "ignore",
 
-  /* Run your local dev server before starting the tests */
-  // webServer: [
-  //   {
-  //     command: "npm run backend",
-  //     reuseExistingServer: !process.env.CI,
-  //     timeout: 120 * 1000,
-  //   },
-  //   {
-  //     command: "npm run start",
-  //     url: "http://127.0.0.1:3000",
-  //     reuseExistingServer: !process.env.CI,
-  //   },
-  // ],
+      reuseExistingServer: true,
+      timeout: 120 * 1000,
+    },
+    {
+      command: "npm start",
+      port: 3000,
+      env: {
+        VITE_PROXY_TARGET: "http://127.0.0.1:7860",
+      },
+    },
+  ],
 });
diff --git a/src/frontend/prettier.config.js b/src/frontend/prettier.config.js
deleted file mode 100644
index f01cc7a68a0..00000000000
--- a/src/frontend/prettier.config.js
+++ /dev/null
@@ -1,3 +0,0 @@
-module.exports = {
-  plugins: [require("prettier-plugin-tailwindcss")],
-};
diff --git a/src/frontend/run-tests.sh b/src/frontend/run-tests.sh
index 76e2fd756eb..f04a0966231 100755
--- a/src/frontend/run-tests.sh
+++ b/src/frontend/run-tests.sh
@@ -3,6 +3,17 @@
 # Default value for the --ui flag
 ui=false
 
+# Absolute path to the project root directory
+PROJECT_ROOT="../../"
+
+# Check if necessary commands are available
+for cmd in npx poetry fuser; do
+    if ! command -v $cmd &> /dev/null; then
+        echo "Error: Required command '$cmd' is not installed. Aborting."
+        exit 1
+    fi
+done
+
 # Parse command-line arguments
 while [[ $# -gt 0 ]]; do
     key="$1"
@@ -23,56 +34,85 @@ done
 terminate_process_by_port() {
     port="$1"
     echo "Terminating process on port: $port"
-    fuser -k -n tcp "$port"  # Forcefully terminate processes using the specified port
-    echo "Process terminated."
+    if ! fuser -k -n tcp "$port"; then
+        echo "Failed to terminate process on port $port. Please check manually."
+    else
+        echo "Process terminated."
+    fi
+}
+
+delete_temp() {
+    if cd "$PROJECT_ROOT"; then
+        echo "Deleting temp database"
+        rm -f temp && echo "Temp database deleted." || echo "Failed to delete temp database."
+    else
+        echo "Failed to navigate to project root for cleanup."
+    fi
 }
 
 # Trap signals to ensure cleanup on script termination
-trap 'terminate_process_by_port 7860; terminate_process_by_port 3000' EXIT
+trap 'terminate_process_by_port 7860; terminate_process_by_port 3000; delete_temp' EXIT
 
-# install playwright if there is not installed yet
-npx playwright install
+# Ensure the script is executed from the project root directory
+if ! cd "$PROJECT_ROOT"; then
+    echo "Error: Failed to navigate to project root directory. Aborting."
+    exit 1
+fi
 
-# Navigate to the project root directory (where the Makefile is located)
-cd ../../
+# Install playwright if not installed yet
+if ! npx playwright install; then
+    echo "Error: Failed to install Playwright. Aborting."
+    exit 1
+fi
 
-# Start the frontend using 'make frontend' in the background
-make frontend &
+# Start the frontend
+make frontend > /dev/null 2>&1 &
 
-# Give some time for the frontend to start (adjust sleep duration as needed)
+# Adjust sleep duration as needed
 sleep 10
 
-# Navigate to the test directory
-cd src/frontend
-
-# Run frontend only Playwright tests with or without UI based on the --ui flag
-if [ "$ui" = true ]; then
-    PLAYWRIGHT_HTML_REPORT=playwright-report/onlyFront npx playwright test tests/onlyFront --ui --project=chromium
-else
-    PLAYWRIGHT_HTML_REPORT=playwright-report/onlyFront npx playwright test tests/onlyFront --project=chromium
+# Install backend dependencies
+if ! poetry install; then
+    echo "Error: Failed to install backend dependencies. Aborting."
+    exit 1
 fi
 
-# Navigate back to the project root directory
-cd ../../
-
-# Start the backend using 'make backend' in the background
-make backend &
-
-# Give some time for the backend to start (adjust sleep duration as needed)
+# Start the backend
+LANGFLOW_DATABASE_URL=sqlite:///./temp LANGFLOW_AUTO_LOGIN=True poetry run langflow run --backend-only --port 7860 --host 0.0.0.0 --no-open-browser > /dev/null 2>&1 &
+backend_pid=$!  # Capture PID of the backend process
+# Adjust sleep duration as needed
 sleep 25
 
-# Navigate back to the test directory
-cd src/frontend
+# Navigate to the test directory
+if ! cd src/frontend; then
+    echo "Error: Failed to navigate to test directory. Aborting."
+    kill $backend_pid  # Terminate the backend process if navigation fails
+    echo "Backend process terminated."
+    exit 1
+fi
+
+# Check if backend is running
+if ! lsof -i :7860; then
+    echo "Error: Backend is not running. Aborting."
+    exit 1
+fi
 
-# Run Playwright tests with or without UI based on the --ui flag
+# Run Playwright tests
 if [ "$ui" = true ]; then
-    PLAYWRIGHT_HTML_REPORT=playwright-report/e2e npx playwright test tests/end-to-end --ui --project=chromium
+    TEST_COMMAND="npx playwright test tests/end-to-end --ui --project=chromium"
 else
-    PLAYWRIGHT_HTML_REPORT=playwright-report/e2e npx playwright test tests/end-to-end --project=chromium
+    TEST_COMMAND="npx playwright test tests/end-to-end --project=chromium"
+fi
+
+if ! PLAYWRIGHT_HTML_REPORT=playwright-report/e2e $TEST_COMMAND; then
+    echo "Error: Playwright tests failed. Aborting."
+    exit 1
 fi
 
-npx playwright show-report
+if [ "$ui" = true ]; then
+    echo "Opening Playwright report..."
+    npx playwright show-report
+fi
 
-# After the tests are finished, you can add cleanup or teardown logic here if needed
 
-# The trap will automatically terminate processes by port on script exit
+trap 'terminate_process_by_port 7860; terminate_process_by_port 3000; delete_temp; kill $backend_pid 2>/dev/null' EXIT
\ No newline at end of file
diff --git a/src/frontend/src/App.css b/src/frontend/src/App.css
index 095c63bd7fa..125282e2cbd 100644
--- a/src/frontend/src/App.css
+++ b/src/frontend/src/App.css
@@ -11,6 +11,13 @@ body {
   text-align: center;
 }
 
+.label {
+  user-select: none;
+  -webkit-user-select: none; /* Safari */
+  -moz-user-select: none; /* Firefox */
+  -ms-user-select: none;
+}
+
 .react-flow__node {
   width: auto;
   height: auto;
@@ -76,17 +83,81 @@ body {
   height: 8px !important;
   border-radius: 10px;
 }
+*::-webkit-scrollbar {
+  width: 8px !important;
+  height: 8px !important;
+  border-radius: 10px;
+}
+
+::-webkit-scrollbar-track {
+  background-color: hsl(var(--muted)) !important;
+  border-radius: 10px;
+}
+
+::-webkit-scrollbar-thumb {
+  background-color: hsl(var(--border)) !important;
+  border-radius: 999px !important;
+}
+
+::-webkit-scrollbar-thumb:hover {
+  background-color: hsl(var(--ring)) !important;
+}
 
 .jv-indent::-webkit-scrollbar-track {
-  background-color: #f1f1f1 !important;
+  background-color: hsl(var(--muted)) !important;
   border-radius: 10px;
 }
 
 .jv-indent::-webkit-scrollbar-thumb {
-  background-color: #ccc !important;
+  background-color: hsl(var(--border)) !important;
   border-radius: 999px !important;
 }
 
 .jv-indent::-webkit-scrollbar-thumb:hover {
+  background-color: hsl(var(--ring)) !important;
+}
+
+.custom-hover {
+  transition: background-color 0.5s ease;
+}
+
+.custom-hover:hover {
+  background-color: rgba(
+    99,
+    102,
+    241,
+    0.1
+  ); /* Medium indigo color with 20% opacity */
+}
+
+.json-view-playground .json-view {
+  background-color: #fff !important;
+}
+
+.json-view-flow .json-view {
   background-color: #bbb !important;
 }
+
+/* This CSS is to not apply the border for the column having 'no-border' class */
+.no-border.ag-cell:focus {
+  border: none !important;
+  outline: none;
+}
+.no-border.ag-cell {
+  border: none !important;
+  outline: none;
+}
+
+/* selected */
+.react-flow__edge.selected .react-flow__edge-path {
+  stroke: var(--selected) !important;
+}
+
+.react-flow__edge .react-flow__edge-path {
+  stroke: var(--connection) !important;
+}
+
+.ag-react-container {
+  width: 100%;
+  height: 100%;
+}
diff --git a/src/frontend/src/App.tsx b/src/frontend/src/App.tsx
index 0624c006456..1c8274e6333 100644
--- a/src/frontend/src/App.tsx
+++ b/src/frontend/src/App.tsx
@@ -1,13 +1,13 @@
-import _ from "lodash";
 import { useContext, useEffect, useState } from "react";
+import { ErrorBoundary } from "react-error-boundary";
+import { useNavigate } from "react-router-dom";
 import "reactflow/dist/style.css";
 import "./App.css";
-
-import { ErrorBoundary } from "react-error-boundary";
+import AlertDisplayArea from "./alerts/displayArea";
 import ErrorAlert from "./alerts/error";
 import NoticeAlert from "./alerts/notice";
 import SuccessAlert from "./alerts/success";
-import CrashErrorComponent from "./components/CrashErrorComponent";
+import CrashErrorComponent from "./components/crashErrorComponent";
 import FetchErrorComponent from "./components/fetchErrorComponent";
 import LoadingComponent from "./components/loadingComponent";
 import {
@@ -15,145 +15,122 @@ import {
   FETCH_ERROR_MESSAGE,
 } from "./constants/constants";
 import { AuthContext } from "./contexts/authContext";
-import { getHealth } from "./controllers/API";
+import { autoLogin, getGlobalVariables, getHealth } from "./controllers/API";
+import { setupAxiosDefaults } from "./controllers/API/utils";
+import useTrackLastVisitedPath from "./hooks/use-track-last-visited-path";
 import Router from "./routes";
+import { Case } from "./shared/components/caseComponent";
 import useAlertStore from "./stores/alertStore";
 import { useDarkStore } from "./stores/darkStore";
 import useFlowsManagerStore from "./stores/flowsManagerStore";
+import { useFolderStore } from "./stores/foldersStore";
+import { useGlobalVariablesStore } from "./stores/globalVariablesStore/globalVariables";
 import { useStoreStore } from "./stores/storeStore";
-import { useTypesStore } from "./stores/typesStore";
-
 export default function App() {
-  const errorData = useAlertStore((state) => state.errorData);
-  const errorOpen = useAlertStore((state) => state.errorOpen);
-  const setErrorOpen = useAlertStore((state) => state.setErrorOpen);
-  const noticeData = useAlertStore((state) => state.noticeData);
-  const noticeOpen = useAlertStore((state) => state.noticeOpen);
-  const setNoticeOpen = useAlertStore((state) => state.setNoticeOpen);
-  const successData = useAlertStore((state) => state.successData);
-  const successOpen = useAlertStore((state) => state.successOpen);
-  const setSuccessOpen = useAlertStore((state) => state.setSuccessOpen);
+  useTrackLastVisitedPath();
+
   const [fetchError, setFetchError] = useState(false);
   const isLoading = useFlowsManagerStore((state) => state.isLoading);
 
-  // Initialize state variable for the list of alerts
-  const [alertsList, setAlertsList] = useState<
-    Array<{
-      type: string;
-      data: { title: string; list?: Array<string>; link?: string };
-      id: string;
-    }>
-  >([]);
-
-  // Use effect hook to update alertsList when a new alert is added
-  useEffect(() => {
-    // If there is an error alert open with data, add it to the alertsList
-    if (errorOpen && errorData) {
-      if (
-        alertsList.length > 0 &&
-        JSON.stringify(alertsList[alertsList.length - 1].data) ===
-          JSON.stringify(errorData)
-      ) {
-        return;
-      }
-      setErrorOpen(false);
-      setAlertsList((old) => {
-        let newAlertsList = [
-          ...old,
-          { type: "error", data: _.cloneDeep(errorData), id: _.uniqueId() },
-        ];
-        return newAlertsList;
-      });
-    }
-    // If there is a notice alert open with data, add it to the alertsList
-    else if (noticeOpen && noticeData) {
-      if (
-        alertsList.length > 0 &&
-        JSON.stringify(alertsList[alertsList.length - 1].data) ===
-          JSON.stringify(noticeData)
-      ) {
-        return;
-      }
-      setNoticeOpen(false);
-      setAlertsList((old) => {
-        let newAlertsList = [
-          ...old,
-          { type: "notice", data: _.cloneDeep(noticeData), id: _.uniqueId() },
-        ];
-        return newAlertsList;
-      });
-    }
-    // If there is a success alert open with data, add it to the alertsList
-    else if (successOpen && successData) {
-      if (
-        alertsList.length > 0 &&
-        JSON.stringify(alertsList[alertsList.length - 1].data) ===
-          JSON.stringify(successData)
-      ) {
-        return;
-      }
-      setSuccessOpen(false);
-      setAlertsList((old) => {
-        let newAlertsList = [
-          ...old,
-          { type: "success", data: _.cloneDeep(successData), id: _.uniqueId() },
-        ];
-        return newAlertsList;
-      });
-    }
-  }, [
-    _,
-    errorData,
-    errorOpen,
-    noticeData,
-    noticeOpen,
-    setErrorOpen,
-    setNoticeOpen,
-    setSuccessOpen,
-    successData,
-    successOpen,
-  ]);
-
-  const removeAlert = (id: string) => {
-    setAlertsList((prevAlertsList) =>
-      prevAlertsList.filter((alert) => alert.id !== id)
-    );
-  };
-
-  const { isAuthenticated } = useContext(AuthContext);
-  const refreshFlows = useFlowsManagerStore((state) => state.refreshFlows);
+  const { isAuthenticated, login, setUserData, setAutoLogin, getUser } =
+    useContext(AuthContext);
+  const setLoading = useAlertStore((state) => state.setLoading);
   const fetchApiData = useStoreStore((state) => state.fetchApiData);
-  const getTypes = useTypesStore((state) => state.getTypes);
   const refreshVersion = useDarkStore((state) => state.refreshVersion);
   const refreshStars = useDarkStore((state) => state.refreshStars);
+  const setGlobalVariables = useGlobalVariablesStore(
+    (state) => state.setGlobalVariables,
+  );
   const checkHasStore = useStoreStore((state) => state.checkHasStore);
+  const navigate = useNavigate();
+  const dark = useDarkStore((state) => state.dark);
+
+  const isLoadingFolders = useFolderStore((state) => state.isLoadingFolders);
+
+  const [isLoadingHealth, setIsLoadingHealth] = useState(false);
 
   useEffect(() => {
-    refreshStars();
-    refreshVersion();
-
-    // If the user is authenticated, fetch the types. This code is important to check if the user is auth because of the execution order of the useEffect hooks.
-    if (isAuthenticated === true) {
-      // get data from db
-      getTypes().then(() => {
-        refreshFlows();
-      });
-      checkHasStore();
-      fetchApiData();
+    if (!dark) {
+      document.getElementById("body")!.classList.remove("dark");
+    } else {
+      document.getElementById("body")!.classList.add("dark");
     }
-  }, [isAuthenticated]);
+  }, [dark]);
+
+  useEffect(() => {
+    const abortController = new AbortController();
+    const isLoginPage = location.pathname.includes("login");
+
+    autoLogin(abortController.signal)
+      .then(async (user) => {
+        if (user && user["access_token"]) {
+          user["refresh_token"] = "auto";
+          login(user["access_token"]);
+          setUserData(user);
+          setAutoLogin(true);
+          fetchAllData();
+        }
+      })
+      .catch(async (error) => {
+        if (error.name !== "CanceledError") {
+          setAutoLogin(false);
+          if (isAuthenticated && !isLoginPage) {
+            getUser();
+            fetchAllData();
+          } else {
+            setLoading(false);
+            useFlowsManagerStore.setState({ isLoading: false });
+          }
+        }
+      });
+
+    /*
+      Abort the request as it isn't needed anymore, the component being
+      unmounted. It helps avoid, among other things, the well-known "can't
+      perform a React state update on an unmounted component" warning.
+    */
+    return () => abortController.abort();
+  }, []);
+
+  const fetchAllData = async () => {
+    setTimeout(async () => {
+      await Promise.all([refreshStars(), refreshVersion(), fetchData()]);
+    }, 1000);
+  };
+
+  const fetchData = async () => {
+    return new Promise<void>(async (resolve, reject) => {
+      if (isAuthenticated) {
+        try {
+          await setupAxiosDefaults();
+
+          const res = await getGlobalVariables();
+          setGlobalVariables(res);
+
+          checkHasStore();
+          fetchApiData();
+
+          resolve();
+        } catch (error) {
+          console.error("Failed to fetch data:", error);
+          reject();
+        }
+      }
+    });
+  };
 
   useEffect(() => {
+    checkApplicationHealth();
     // Timer to call getHealth every 5 seconds
     const timer = setInterval(() => {
       getHealth()
         .then(() => {
-          if (fetchError) setFetchError(false);
+          onHealthCheck();
         })
         .catch(() => {
           setFetchError(true);
         });
-    }, 20000);
+    }, 20000); // 20 seconds
 
     // Clean up the timer on component unmount
     return () => {
@@ -161,6 +138,32 @@ export default function App() {
     };
   }, []);
 
+  const checkApplicationHealth = () => {
+    setIsLoadingHealth(true);
+    getHealth()
+      .then(() => {
+        onHealthCheck();
+      })
+      .catch(() => {
+        setFetchError(true);
+      });
+
+    setTimeout(() => {
+      setIsLoadingHealth(false);
+    }, 2000);
+  };
+
+  const onHealthCheck = () => {
+    setFetchError(false);
+    //This condition is necessary to avoid infinite loop on starter page when the application is not healthy
+    if (isLoading === true && window.location.pathname === "/") {
+      navigate("/all");
+      window.location.reload();
+    }
+  };
+
+  const isLoadingApplication = isLoading || isLoadingFolders;
+
   return (
     //need parent component with width and height
     <div className="flex h-full flex-col">
@@ -170,51 +173,33 @@ export default function App() {
         }}
         FallbackComponent={CrashErrorComponent}
       >
-        {fetchError ? (
-          <FetchErrorComponent
-            description={FETCH_ERROR_DESCRIPION}
-            message={FETCH_ERROR_MESSAGE}
-          ></FetchErrorComponent>
-        ) : isLoading ? (
-          <div className="loading-page-panel">
-            <LoadingComponent remSize={50} />
-          </div>
-        ) : (
-          <>
+        <>
+          {
+            <FetchErrorComponent
+              description={FETCH_ERROR_DESCRIPION}
+              message={FETCH_ERROR_MESSAGE}
+              openModal={fetchError}
+              setRetry={() => {
+                checkApplicationHealth();
+              }}
+              isLoadingHealth={isLoadingHealth}
+            ></FetchErrorComponent>
+          }
+
+          <Case condition={isLoadingApplication}>
+            <div className="loading-page-panel">
+              <LoadingComponent remSize={50} />
+            </div>
+          </Case>
+
+          <Case condition={!isLoadingApplication}>
             <Router />
-          </>
-        )}
+          </Case>
+        </>
       </ErrorBoundary>
       <div></div>
-      <div className="app-div" style={{ zIndex: 999 }}>
-        {alertsList.map((alert) => (
-          <div key={alert.id}>
-            {alert.type === "error" ? (
-              <ErrorAlert
-                key={alert.id}
-                title={alert.data.title}
-                list={alert.data.list}
-                id={alert.id}
-                removeAlert={removeAlert}
-              />
-            ) : alert.type === "notice" ? (
-              <NoticeAlert
-                key={alert.id}
-                title={alert.data.title}
-                link={alert.data.link}
-                id={alert.id}
-                removeAlert={removeAlert}
-              />
-            ) : (
-              <SuccessAlert
-                key={alert.id}
-                title={alert.data.title}
-                id={alert.id}
-                removeAlert={removeAlert}
-              />
-            )}
-          </div>
-        ))}
+      <div className="app-div">
+        <AlertDisplayArea />
       </div>
     </div>
   );
diff --git a/src/frontend/src/CustomNodes/GenericNode/components/HandleTooltipComponent/index.tsx b/src/frontend/src/CustomNodes/GenericNode/components/HandleTooltipComponent/index.tsx
new file mode 100644
index 00000000000..58e28ff3ac2
--- /dev/null
+++ b/src/frontend/src/CustomNodes/GenericNode/components/HandleTooltipComponent/index.tsx
@@ -0,0 +1,30 @@
+import { TOOLTIP_EMPTY } from "../../../../constants/constants";
+import useFlowStore from "../../../../stores/flowStore";
+import { useTypesStore } from "../../../../stores/typesStore";
+import { NodeType } from "../../../../types/flow";
+import { groupByFamily } from "../../../../utils/utils";
+import TooltipRenderComponent from "../tooltipRenderComponent";
+
+export default function HandleTooltips({
+  left,
+  tooltipTitle,
+}: {
+  left: boolean;
+  nodes: NodeType[];
+  tooltipTitle: string;
+}) {
+  const myData = useTypesStore((state) => state.data);
+  const nodes = useFlowStore((state) => state.nodes);
+
+  let groupedObj: any = groupByFamily(myData, tooltipTitle!, left, nodes!);
+
+  if (groupedObj && groupedObj.length > 0) {
+    //@ts-ignore
+    return groupedObj.map((item, index) => {
+      return <TooltipRenderComponent index={index} item={item} left={left} />;
+    });
+  } else {
+    //@ts-ignore
+    return <span data-testid={`empty-tooltip-filter`}>{TOOLTIP_EMPTY}</span>;
+  }
+}
diff --git a/src/frontend/src/CustomNodes/GenericNode/components/OutputComponent/index.tsx b/src/frontend/src/CustomNodes/GenericNode/components/OutputComponent/index.tsx
new file mode 100644
index 00000000000..c5a9bb21848
--- /dev/null
+++ b/src/frontend/src/CustomNodes/GenericNode/components/OutputComponent/index.tsx
@@ -0,0 +1,91 @@
+import { cloneDeep } from "lodash";
+import { useUpdateNodeInternals } from "reactflow";
+import ForwardedIconComponent from "../../../../components/genericIconComponent";
+import ShadTooltip from "../../../../components/shadTooltipComponent";
+import { Button } from "../../../../components/ui/button";
+import {
+  DropdownMenu,
+  DropdownMenuContent,
+  DropdownMenuItem,
+  DropdownMenuTrigger,
+} from "../../../../components/ui/dropdown-menu";
+import useFlowStore from "../../../../stores/flowStore";
+import { outputComponentType } from "../../../../types/components";
+import { NodeDataType } from "../../../../types/flow";
+import { cn } from "../../../../utils/utils";
+
+export default function OutputComponent({
+  selected,
+  types,
+  frozen = false,
+  nodeId,
+  idx,
+  name,
+  proxy,
+}: outputComponentType) {
+  const setNode = useFlowStore((state) => state.setNode);
+  const updateNodeInternals = useUpdateNodeInternals();
+
+  const displayProxy = (children) => {
+    if (proxy) {
+      return (
+        <ShadTooltip content={<span>{proxy.nodeDisplayName}</span>}>
+          {children}
+        </ShadTooltip>
+      );
+    } else {
+      return children;
+    }
+  };
+
+  return displayProxy(
+    <span className={cn(frozen ? "text-ice" : "")}>{name}</span>,
+  );
+
+  // ! DEACTIVATED UNTIL BETTER IMPLEMENTATION
+  // return (
+  //   <div className="nocopy nopan nodelete nodrag noundo flex items-center gap-2">
+  //     <DropdownMenu>
+  //       <DropdownMenuTrigger asChild>
+  //         <Button
+  //           disabled={frozen}
+  //           variant="primary"
+  //           size="xs"
+  //           className={cn(
+  //             frozen ? "text-ice" : "",
+  //             "items-center gap-1 pl-2 pr-1.5 align-middle text-xs font-normal",
+  //           )}
+  //         >
+  //           <span className="pb-px">{selected}</span>
+  //           <ForwardedIconComponent name="ChevronDown" className="h-3 w-3" />
+  //         </Button>
+  //       </DropdownMenuTrigger>
+  //       <DropdownMenuContent>
+  //         {types.map((type) => (
+  //           <DropdownMenuItem
+  //             onSelect={() => {
+  //               // TODO: UDPDATE SET NODE TO NEW NODE FORM
+  //               setNode(nodeId, (node) => {
+  //                 const newNode = cloneDeep(node);
+  //                 (newNode.data as NodeDataType).node!.outputs![idx].selected =
+  //                   type;
+  //                 return newNode;
+  //               });
+  //               updateNodeInternals(nodeId);
+  //             }}
+  //           >
+  //             {type}
+  //           </DropdownMenuItem>
+  //         ))}
+  //       </DropdownMenuContent>
+  //     </DropdownMenu>
+  //     {proxy ? (
+  //       <ShadTooltip content={<span>{proxy.nodeDisplayName}</span>}>
+  //         <span>{name}</span>
+  //       </ShadTooltip>
+  //     ) : (
+  //       <span>{name}</span>
+  //     )}
+  //   </div>
+  // );
+}
diff --git a/src/frontend/src/CustomNodes/GenericNode/components/handleRenderComponent/index.tsx b/src/frontend/src/CustomNodes/GenericNode/components/handleRenderComponent/index.tsx
new file mode 100644
index 00000000000..4e53881d42f
--- /dev/null
+++ b/src/frontend/src/CustomNodes/GenericNode/components/handleRenderComponent/index.tsx
@@ -0,0 +1,103 @@
+import { title } from "process";
+import { Handle, Position } from "reactflow";
+import ShadTooltip from "../../../../components/shadTooltipComponent";
+import { Button } from "../../../../components/ui/button";
+import {
+  isValidConnection,
+  scapedJSONStringfy,
+} from "../../../../utils/reactflowUtils";
+import { classNames, cn, groupByFamily } from "../../../../utils/utils";
+import HandleTooltips from "../HandleTooltipComponent";
+
+export default function HandleRenderComponent({
+  left,
+  nodes,
+  tooltipTitle = "",
+  proxy,
+  id,
+  title,
+  edges,
+  myData,
+  colors,
+  setFilterEdge,
+  showNode,
+}: {
+  left: boolean;
+  nodes: any;
+  tooltipTitle?: string;
+  proxy: any;
+  id: any;
+  title: string;
+  edges: any;
+  myData: any;
+  colors: string[];
+  setFilterEdge: any;
+  showNode: any;
+}) {
+  return (
+    <Button
+      unstyled
+      className="h-7 truncate bg-muted p-0 text-sm font-normal text-black hover:bg-muted"
+    >
+      <ShadTooltip
+        styleClasses={"tooltip-fixed-width custom-scroll nowheel"}
+        delayDuration={1000}
+        content={
+          <HandleTooltips
+            left={left}
+            nodes={nodes}
+            tooltipTitle={tooltipTitle!}
+          />
+        }
+        side={left ? "left" : "right"}
+      >
+        <Handle
+          data-test-id={`handle-${title.toLowerCase()}-${
+            !showNode ? (left ? "target" : "source") : left ? "left" : "right"
+          }`}
+          type={left ? "target" : "source"}
+          position={left ? Position.Left : Position.Right}
+          key={scapedJSONStringfy(proxy ? { ...id, proxy } : id)}
+          id={scapedJSONStringfy(proxy ? { ...id, proxy } : id)}
+          isValidConnection={(connection) =>
+            isValidConnection(connection, nodes, edges)
+          }
+          className={classNames(
+            left ? "-ml-0.5" : "-mr-0.5",
+            "z-20 h-3 w-3 rounded-full border-none bg-background",
+          )}
+          style={{
+            background:
+              "conic-gradient(" +
+              colors
+                .concat(colors[0])
+                .map(
+                  (color, index) =>
+                    color +
+                    " " +
+                    ((360 / colors.length) * index -
+                      360 / (colors.length * 4)) +
+                    "deg " +
+                    ((360 / colors.length) * index +
+                      360 / (colors.length * 4)) +
+                    "deg",
+                )
+                .join(" ,") +
+              ")",
+            WebkitMaskImage: "radial-gradient(transparent 40%, black 44%)",
+            maskImage: "radial-gradient(transparent 40%, black 44%)",
+          }}
+          onClick={() => {
+            setFilterEdge(groupByFamily(myData, tooltipTitle!, left, nodes!));
+          }}
+        />
+      </ShadTooltip>
+      <div
+        className={cn(
+          "absolute top-[50%] z-10 h-3 w-3 translate-y-[-50%] rounded-full bg-background",
+          left ? "-left-[4px] -ml-0.5" : "-right-[4px] -mr-0.5",
+        )}
+      />
+    </Button>
+  );
+}
diff --git a/src/frontend/src/CustomNodes/GenericNode/components/outputModal/components/switchOutputView/components/index.tsx b/src/frontend/src/CustomNodes/GenericNode/components/outputModal/components/switchOutputView/components/index.tsx
new file mode 100644
index 00000000000..bd28aad11c6
--- /dev/null
+++ b/src/frontend/src/CustomNodes/GenericNode/components/outputModal/components/switchOutputView/components/index.tsx
@@ -0,0 +1,12 @@
+import { Textarea } from "../../../../../../../components/ui/textarea";
+
+export default function ErrorOutput({ value }: { value: string }) {
+  return (
+    <Textarea
+      className={`h-full w-full text-destructive custom-scroll`}
+      placeholder={"Empty"}
+      value={value}
+      readOnly
+    />
+  );
+}
diff --git a/src/frontend/src/CustomNodes/GenericNode/components/outputModal/components/switchOutputView/helpers/convert-to-table-rows.ts b/src/frontend/src/CustomNodes/GenericNode/components/outputModal/components/switchOutputView/helpers/convert-to-table-rows.ts
new file mode 100644
index 00000000000..db61acaa371
--- /dev/null
+++ b/src/frontend/src/CustomNodes/GenericNode/components/outputModal/components/switchOutputView/helpers/convert-to-table-rows.ts
@@ -0,0 +1,4 @@
+export const convertToTableRows = (obj: Object) => {
+  const tokensArray = [Object.values(obj)[0]];
+  return tokensArray;
+};
diff --git a/src/frontend/src/CustomNodes/GenericNode/components/outputModal/components/switchOutputView/index.tsx b/src/frontend/src/CustomNodes/GenericNode/components/outputModal/components/switchOutputView/index.tsx
new file mode 100644
index 00000000000..783a0036b85
--- /dev/null
+++ b/src/frontend/src/CustomNodes/GenericNode/components/outputModal/components/switchOutputView/index.tsx
@@ -0,0 +1,84 @@
+import DataOutputComponent from "../../../../../../components/dataOutputComponent";
+import ForwardedIconComponent from "../../../../../../components/genericIconComponent";
+import {
+  Alert,
+  AlertDescription,
+  AlertTitle,
+} from "../../../../../../components/ui/alert";
+import { Case } from "../../../../../../shared/components/caseComponent";
+import TextOutputView from "../../../../../../shared/components/textOutputView";
+import useFlowStore from "../../../../../../stores/flowStore";
+import ErrorOutput from "./components";
+// Define the props type
+interface SwitchOutputViewProps {
+  nodeId: string;
+  outputName: string;
+}
+const SwitchOutputView: React.FC<SwitchOutputViewProps> = ({
+  nodeId,
+  outputName,
+}) => {
+  const flowPool = useFlowStore((state) => state.flowPool);
+  const flowPoolNode = (flowPool[nodeId] ?? [])[
+    (flowPool[nodeId]?.length ?? 1) - 1
+  ];
+  let results = flowPoolNode?.data?.outputs[outputName] ?? "";
+  if (Array.isArray(results)) {
+    return;
+  }
+  const resultType = results?.type;
+  let resultMessage = results?.message;
+  const RECORD_TYPES = ["data", "object", "array", "message"];
+  if (resultMessage?.raw) {
+    resultMessage = resultMessage.raw;
+  }
+  return (
+    <>
+      <Case condition={!resultType || resultType === "unknown"}>
+        <div>NO OUTPUT</div>
+      </Case>
+      <Case condition={resultType === "error" || resultType === "ValueError"}>
+        <ErrorOutput
+          value={`${resultMessage.errorMessage}\n\n${resultMessage.stackTrace}`}
+        ></ErrorOutput>
+      </Case>
+
+      <Case condition={resultType === "text"}>
+        <TextOutputView left={false} value={resultMessage} />
+      </Case>
+
+      <Case condition={RECORD_TYPES.includes(resultType)}>
+        <DataOutputComponent
+          rows={
+            Array.isArray(resultMessage)
+              ? (resultMessage as Array<any>).every((item) => item.data)
+                ? (resultMessage as Array<any>).map((item) => item.data)
+                : resultMessage
+              : [resultMessage]
+          }
+          pagination={true}
+          columnMode="union"
+        />
+      </Case>
+
+      <Case condition={resultType === "stream"}>
+        <div className="flex h-full w-full items-center justify-center align-middle">
+          <Alert variant={"default"} className="w-fit">
+            <ForwardedIconComponent
+              name="AlertCircle"
+              className="h-5 w-5 text-primary"
+            />
+            <AlertTitle>{"Streaming is not supported"}</AlertTitle>
+            <AlertDescription>
+              {
+                "Use the playground to interact with components that stream data"
+              }
+            </AlertDescription>
+          </Alert>
+        </div>
+      </Case>
+    </>
+  );
+};
+
+export default SwitchOutputView;
diff --git a/src/frontend/src/CustomNodes/GenericNode/components/outputModal/index.tsx b/src/frontend/src/CustomNodes/GenericNode/components/outputModal/index.tsx
new file mode 100644
index 00000000000..e34ee6ec114
--- /dev/null
+++ b/src/frontend/src/CustomNodes/GenericNode/components/outputModal/index.tsx
@@ -0,0 +1,30 @@
+import { Button } from "../../../../components/ui/button";
+import BaseModal from "../../../../modals/baseModal";
+import SwitchOutputView from "./components/switchOutputView";
+
+export default function OutputModal({
+  open,
+  setOpen,
+  nodeId,
+  outputName,
+}): JSX.Element {
+  return (
+    <BaseModal open={open} setOpen={setOpen} size="medium-tall">
+      <BaseModal.Header description="Inspect the output of the component below.">
+        <div className="flex items-center">
+          <span className="pr-2">Component Output</span>
+        </div>
+      </BaseModal.Header>
+      <BaseModal.Content>
+        <SwitchOutputView nodeId={nodeId} outputName={outputName} />
+      </BaseModal.Content>
+      <BaseModal.Footer>
+        <div className="flex w-full justify-end pt-2">
+          <Button className="flex gap-2 px-3" onClick={() => setOpen(false)}>
+            Close
+          </Button>
+        </div>
+      </BaseModal.Footer>
+    </BaseModal>
+  );
+}
diff --git a/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/constants.ts b/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/constants.ts
new file mode 100644
index 00000000000..58cb455870a
--- /dev/null
+++ b/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/constants.ts
@@ -0,0 +1 @@
+export const TEXT_FIELD_TYPES: string[] = ["str", "SecretStr"];
diff --git a/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx b/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx
index 533d60842df..afb15b8ebc9 100644
--- a/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx
+++ b/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx
@@ -1,46 +1,58 @@
 import { cloneDeep } from "lodash";
-import React, { ReactNode, useEffect, useRef, useState } from "react";
-import { Handle, Position, useUpdateNodeInternals } from "reactflow";
-import ShadTooltip from "../../../../components/ShadTooltipComponent";
+import { ReactNode, useEffect, useRef, useState } from "react";
+import { useHotkeys } from "react-hotkeys-hook";
+import { useUpdateNodeInternals } from "reactflow";
 import CodeAreaComponent from "../../../../components/codeAreaComponent";
 import DictComponent from "../../../../components/dictComponent";
 import Dropdown from "../../../../components/dropdownComponent";
 import FloatComponent from "../../../../components/floatComponent";
-import IconComponent from "../../../../components/genericIconComponent";
-import InputComponent from "../../../../components/inputComponent";
+import { default as IconComponent } from "../../../../components/genericIconComponent";
 import InputFileComponent from "../../../../components/inputFileComponent";
+import InputGlobalComponent from "../../../../components/inputGlobalComponent";
 import InputListComponent from "../../../../components/inputListComponent";
 import IntComponent from "../../../../components/intComponent";
 import KeypairListComponent from "../../../../components/keypairListComponent";
 import PromptAreaComponent from "../../../../components/promptComponent";
+import ShadTooltip from "../../../../components/shadTooltipComponent";
 import TextAreaComponent from "../../../../components/textAreaComponent";
 import ToggleShadComponent from "../../../../components/toggleShadComponent";
 import { Button } from "../../../../components/ui/button";
-import {
-  LANGFLOW_SUPPORTED_TYPES,
-  TOOLTIP_EMPTY,
-} from "../../../../constants/constants";
-import { postCustomComponentUpdate } from "../../../../controllers/API";
-import useAlertStore from "../../../../stores/alertStore";
+import { RefreshButton } from "../../../../components/ui/refreshButton";
+import { LANGFLOW_SUPPORTED_TYPES } from "../../../../constants/constants";
+import { Case } from "../../../../shared/components/caseComponent";
 import useFlowStore from "../../../../stores/flowStore";
 import useFlowsManagerStore from "../../../../stores/flowsManagerStore";
+import { useShortcutsStore } from "../../../../stores/shortcuts";
 import { useTypesStore } from "../../../../stores/typesStore";
 import { APIClassType } from "../../../../types/api";
 import { ParameterComponentType } from "../../../../types/components";
-import { NodeDataType } from "../../../../types/flow";
+import {
+  debouncedHandleUpdateValues,
+  handleUpdateValues,
+} from "../../../../utils/parameterUtils";
 import {
   convertObjToArray,
   convertValuesToNumbers,
+  getGroupOutputNodeId,
   hasDuplicateKeys,
-  isValidConnection,
   scapedJSONStringfy,
 } from "../../../../utils/reactflowUtils";
 import {
-  nodeColors,
-  nodeIconsLucide,
-  nodeNames,
-} from "../../../../utils/styleUtils";
-import { classNames, groupByFamily } from "../../../../utils/utils";
+  classNames,
+  cn,
+  isThereModal,
+  logHasMessage,
+  logTypeIsError,
+  logTypeIsUnknown,
+} from "../../../../utils/utils";
+import useFetchDataOnMount from "../../../hooks/use-fetch-data-on-mount";
+import useHandleOnNewValue from "../../../hooks/use-handle-new-value";
+import useHandleNodeClass from "../../../hooks/use-handle-node-class";
+import useHandleRefreshButtonPress from "../../../hooks/use-handle-refresh-buttons";
+import OutputComponent from "../OutputComponent";
+import HandleRenderComponent from "../handleRenderComponent";
+import OutputModal from "../outputModal";
+import { TEXT_FIELD_TYPES } from "./constants";
 
 export default function ParameterComponent({
   left,
@@ -48,7 +60,7 @@ export default function ParameterComponent({
   data,
   tooltipTitle,
   title,
-  color,
+  colors,
   type,
   name = "",
   required = false,
@@ -56,103 +68,120 @@ export default function ParameterComponent({
   info = "",
   proxy,
   showNode,
-  index = "",
+  index,
+  outputName,
+  selected,
+  outputProxy,
 }: ParameterComponentType): JSX.Element {
   const ref = useRef<HTMLDivElement>(null);
-  const refHtml = useRef<HTMLDivElement & ReactNode>(null);
   const infoHtml = useRef<HTMLDivElement & ReactNode>(null);
-  const setErrorData = useAlertStore((state) => state.setErrorData);
-  const currentFlow = useFlowsManagerStore((state) => state.currentFlow);
   const nodes = useFlowStore((state) => state.nodes);
   const edges = useFlowStore((state) => state.edges);
   const setNode = useFlowStore((state) => state.setNode);
-
-  const flow = currentFlow?.data?.nodes ?? null;
-
-  const groupedEdge = useRef(null);
-
-  const setFilterEdge = useFlowStore((state) => state.setFilterEdge);
-
-  let disabled =
-    edges.some(
-      (edge) =>
-        edge.targetHandle === scapedJSONStringfy(proxy ? { ...id, proxy } : id)
-    ) ?? false;
-
   const myData = useTypesStore((state) => state.data);
-
   const takeSnapshot = useFlowsManagerStore((state) => state.takeSnapshot);
+  const [isLoading, setIsLoading] = useState(false);
+  const updateNodeInternals = useUpdateNodeInternals();
+  const [errorDuplicateKey, setErrorDuplicateKey] = useState(false);
+  const setFilterEdge = useFlowStore((state) => state.setFilterEdge);
+  const [openOutputModal, setOpenOutputModal] = useState(false);
+  const flowPool = useFlowStore((state) => state.flowPool);
 
-  const handleUpdateValues = async (name: string, data: NodeDataType) => {
-    const code = data.node?.template["code"]?.value;
-    if (!code) {
-      console.error("Code not found in the template");
-      return;
-    }
-
-    try {
-      const res = await postCustomComponentUpdate(code, name);
-      if (res.status === 200 && data.node?.template) {
-        data.node!.template[name] = res.data.template[name];
-      }
-    } catch (err) {
-      setErrorData(err as { title: string; list?: Array<string> });
-    }
-  };
+  let flowPoolId = data.id;
+  let internalOutputName = outputName;
 
-  const handleOnNewValue = (
-    newValue: string | string[] | boolean | Object[]
-  ): void => {
-    if (data.node!.template[name].value !== newValue) {
-      takeSnapshot();
+  if (data.node?.flow && outputProxy) {
+    const realOutput = getGroupOutputNodeId(
+      data.node.flow,
+      outputProxy.name,
+      outputProxy.id,
+    );
+    if (realOutput) {
+      flowPoolId = realOutput.id;
+      internalOutputName = realOutput.outputName;
     }
+  }
 
-    data.node!.template[name].value = newValue; // necessary to enable ctrl+z inside the input
+  const flowPoolNode = (flowPool[flowPoolId] ?? [])[
+    (flowPool[flowPoolId]?.length ?? 1) - 1
+  ];
 
-    setNode(data.id, (oldNode) => {
-      let newNode = cloneDeep(oldNode);
+  const displayOutputPreview =
+    !!flowPool[flowPoolId] &&
+    logHasMessage(flowPoolNode?.data, internalOutputName);
 
-      newNode.data = {
-        ...newNode.data,
-      };
+  const unknownOutput = logTypeIsUnknown(
+    flowPoolNode?.data,
+    internalOutputName,
+  );
+  const errorOutput = logTypeIsError(flowPoolNode?.data, internalOutputName);
 
-      newNode.data.node.template[name].value = newValue;
+  if (outputProxy) {
+    console.log(logHasMessage(flowPoolNode?.data, internalOutputName));
+  }
 
-      return newNode;
-    });
+  const preventDefault = true;
 
-    renderTooltips();
-  };
+  function handleOutputWShortcut() {
+    if (!displayOutputPreview || unknownOutput) return;
+    if (isThereModal() && !openOutputModal) return;
+    if (selected && !left) {
+      setOpenOutputModal((state) => !state);
+    }
+  }
 
-  const updateNodeInternals = useUpdateNodeInternals();
+  const output = useShortcutsStore((state) => state.output);
+  useHotkeys(output, handleOutputWShortcut, { preventDefault });
+
+  const { handleOnNewValue: handleOnNewValueHook } = useHandleOnNewValue(
+    data,
+    name,
+    takeSnapshot,
+    handleUpdateValues,
+    debouncedHandleUpdateValues,
+    setNode,
+    setIsLoading,
+  );
 
-  const handleNodeClass = (newNodeClass: APIClassType, code?: string): void => {
-    if (!data.node) return;
-    if (data.node!.template[name].value !== code) {
-      takeSnapshot();
-    }
+  const { handleNodeClass: handleNodeClassHook } = useHandleNodeClass(
+    data,
+    name,
+    takeSnapshot,
+    setNode,
+    updateNodeInternals,
+  );
 
-    setNode(data.id, (oldNode) => {
-      let newNode = cloneDeep(oldNode);
+  const { handleRefreshButtonPress: handleRefreshButtonPressHook } =
+    useHandleRefreshButtonPress(setIsLoading, setNode);
 
-      newNode.data = {
-        ...newNode.data,
-        node: newNodeClass,
-        description: newNodeClass.description ?? data.node!.description,
-        display_name: newNodeClass.display_name ?? data.node!.display_name,
-      };
+  let disabled =
+    edges.some(
+      (edge) =>
+        edge.targetHandle === scapedJSONStringfy(proxy ? { ...id, proxy } : id),
+    ) ?? false;
 
-      newNode.data.node.template[name].value = code;
+  let disabledOutput =
+    edges.some(
+      (edge) =>
+        edge.sourceHandle === scapedJSONStringfy(proxy ? { ...id, proxy } : id),
+    ) ?? false;
 
-      return newNode;
-    });
+  const handleRefreshButtonPress = async (name, data) => {
+    handleRefreshButtonPressHook(name, data);
+  };
 
-    updateNodeInternals(data.id);
+  useFetchDataOnMount(data, name, handleUpdateValues, setNode, setIsLoading);
 
-    renderTooltips();
+  const handleOnNewValue = async (
+    newValue: string | string[] | boolean | Object[],
+    skipSnapshot: boolean | undefined = false,
+  ): Promise<void> => {
+    handleOnNewValueHook(newValue, skipSnapshot);
   };
 
-  const [errorDuplicateKey, setErrorDuplicateKey] = useState(false);
+  const handleNodeClass = (newNodeClass: APIClassType, code?: string): void => {
+    handleNodeClassHook(newNodeClass, code);
+  };
 
   useEffect(() => {
     // @ts-ignore
@@ -167,347 +196,418 @@ export default function ParameterComponent({
     );
   }, [info]);
 
-  function renderTooltips() {
-    let groupedObj: any = groupByFamily(myData, tooltipTitle!, left, flow!);
-    groupedEdge.current = groupedObj;
-
-    if (groupedObj && groupedObj.length > 0) {
-      //@ts-ignore
-      refHtml.current = groupedObj.map((item, index) => {
-        const Icon: any =
-          nodeIconsLucide[item.family] ?? nodeIconsLucide["unknown"];
-
-        return (
-          <div key={index}>
-            {index === 0 && (
-              <span>
-                {left
-                  ? "Avaliable input components:"
-                  : "Avaliable output components:"}
-              </span>
-            )}
-            <span
-              key={index}
-              className={classNames(
-                index > 0 ? "mt-2 flex items-center" : "mt-3 flex items-center"
-              )}
-            >
-              <div
-                className="h-5 w-5"
-                style={{
-                  color: nodeColors[item.family],
-                }}
-              >
-                <Icon
-                  className="h-5 w-5"
-                  strokeWidth={1.5}
-                  style={{
-                    color: nodeColors[item.family] ?? nodeColors.unknown,
-                  }}
-                />
-              </div>
-              <span className="ps-2 text-xs text-foreground">
-                {nodeNames[item.family] ?? "Other"}{" "}
-                {item?.display_name && item?.display_name?.length > 0 ? (
-                  <span className="text-xs">
-                    {" "}
-                    {item.display_name === "" ? "" : " - "}
-                    {item.display_name.split(", ").length > 2
-                      ? item.display_name.split(", ").map((el, index) => (
-                          <React.Fragment key={el + index}>
-                            <span>
-                              {index ===
-                              item.display_name.split(", ").length - 1
-                                ? el
-                                : (el += `, `)}
-                            </span>
-                          </React.Fragment>
-                        ))
-                      : item.display_name}
-                  </span>
-                ) : (
-                  <span className="text-xs">
-                    {" "}
-                    {item.type === "" ? "" : " - "}
-                    {item.type.split(", ").length > 2
-                      ? item.type.split(", ").map((el, index) => (
-                          <React.Fragment key={el + index}>
-                            <span>
-                              {index === item.type.split(", ").length - 1
-                                ? el
-                                : (el += `, `)}
-                            </span>
-                          </React.Fragment>
-                        ))
-                      : item.type}
-                  </span>
-                )}
-              </span>
-            </span>
-          </div>
-        );
-      });
-    } else {
-      //@ts-ignore
-      refHtml.current = <span>{TOOLTIP_EMPTY}</span>;
-    }
+  function renderTitle() {
+    return !left ? (
+      <OutputComponent
+        proxy={outputProxy}
+        idx={index}
+        types={type?.split("|") ?? []}
+        selected={
+          data.node?.outputs![index].selected ??
+          data.node?.outputs![index].types[0] ??
+          title
+        }
+        nodeId={data.id}
+        frozen={data.node?.frozen}
+        name={title ?? type}
+      />
+    ) : (
+      <span>{title}</span>
+    );
   }
 
   useEffect(() => {
-    renderTooltips();
-  }, [tooltipTitle, flow]);
+    if (optionalHandle && optionalHandle.length === 0) {
+      optionalHandle = null;
+    }
+  }, [optionalHandle]);
+
+  const handleUpdateOutputHide = (value?: boolean) => {
+    setNode(data.id, (oldNode) => {
+      let newNode = cloneDeep(oldNode);
+      newNode.data = {
+        ...newNode.data,
+        node: {
+          ...newNode.data.node,
+          outputs: newNode.data.node.outputs?.map((output, i) => {
+            if (i === index) {
+              output.hidden = value ?? !output.hidden;
+            }
+            return output;
+          }),
+        },
+      };
+      return newNode;
+    });
+    updateNodeInternals(data.id);
+  };
+
+  useEffect(() => {
+    if (disabledOutput) {
+      handleUpdateOutputHide(false);
+    }
+  }, [disabledOutput]);
 
   return !showNode ? (
     left && LANGFLOW_SUPPORTED_TYPES.has(type ?? "") && !optionalHandle ? (
       <></>
     ) : (
-      <Button className="h-7 truncate bg-muted p-0 text-sm font-normal text-black hover:bg-muted">
-        <div className="flex">
-          <ShadTooltip
-            styleClasses={"tooltip-fixed-width custom-scroll nowheel"}
-            delayDuration={0}
-            content={refHtml.current}
-            side={left ? "left" : "right"}
-          >
-            <Handle
-              type={left ? "target" : "source"}
-              position={left ? Position.Left : Position.Right}
-              key={
-                proxy
-                  ? scapedJSONStringfy({ ...id, proxy })
-                  : scapedJSONStringfy(id)
-              }
-              id={
-                proxy
-                  ? scapedJSONStringfy({ ...id, proxy })
-                  : scapedJSONStringfy(id)
-              }
-              isValidConnection={(connection) =>
-                isValidConnection(connection, nodes, edges)
-              }
-              className={classNames(
-                left ? "my-12 -ml-0.5 " : " my-12 -mr-0.5 ",
-                "h-3 w-3 rounded-full border-2 bg-background",
-                !showNode ? "mt-0" : ""
-              )}
-              style={{
-                borderColor: color,
-              }}
-              onClick={() => {
-                setFilterEdge(groupedEdge.current);
-              }}
-            ></Handle>
-          </ShadTooltip>
-        </div>
-      </Button>
+      <HandleRenderComponent
+        left={left}
+        nodes={nodes}
+        tooltipTitle={tooltipTitle}
+        proxy={proxy}
+        id={id}
+        title={title}
+        edges={edges}
+        myData={myData}
+        colors={colors}
+        setFilterEdge={setFilterEdge}
+        showNode={showNode}
+      />
     )
   ) : (
     <div
       ref={ref}
-      className="relative mt-1 flex w-full flex-wrap items-center justify-between bg-muted px-5 py-2"
+      className={
+        "relative mt-1 flex w-full flex-wrap items-center justify-between bg-muted px-5 py-2" +
+        ((name === "code" && type === "code") ||
+        (name.includes("code") && proxy)
+          ? " hidden"
+          : "")
+      }
     >
       <>
         <div
           className={
-            "w-full truncate text-sm" +
-            (left ? "" : " text-end") +
-            (info !== "" ? " flex items-center" : "")
+            "flex w-full items-center truncate text-sm" +
+            (left ? "" : " justify-end")
           }
         >
+          {!left && (
+            <div className="flex-1">
+              <Button
+                disabled={disabledOutput}
+                unstyled
+                onClick={() => handleUpdateOutputHide()}
+                data-testid={`output-inspection-${title.toLowerCase()}`}
+              >
+                <IconComponent
+                  className={cn(
+                    "h-4 w-4",
+                    disabledOutput ? "text-muted-foreground" : "",
+                  )}
+                  strokeWidth={1.5}
+                  name={data.node?.outputs![index].hidden ? "EyeOff" : "Eye"}
+                />
+              </Button>
+            </div>
+          )}
+          <Case condition={!left && data.node?.frozen}>
+            <div className="pr-1">
+              <IconComponent className="h-5 w-5 text-ice" name={"Snowflake"} />
+            </div>
+          </Case>
+
           {proxy ? (
             <ShadTooltip content={<span>{proxy.id}</span>}>
-              <span>{title}</span>
+              {renderTitle()}
             </ShadTooltip>
           ) : (
-            title
+            <div className="flex gap-2">
+              <span className={!left && data.node?.frozen ? "text-ice" : ""}>
+                {renderTitle()}
+              </span>
+              {!left && (
+                <ShadTooltip
+                  content={
+                    displayOutputPreview
+                      ? unknownOutput
+                        ? "Output can't be displayed"
+                        : "Inspect Output"
+                      : "Please build the component first"
+                  }
+                >
+                  <Button
+                    unstyled
+                    disabled={!displayOutputPreview || unknownOutput}
+                    onClick={() => setOpenOutputModal(true)}
+                    data-testid={`output-inspection-${title.toLowerCase()}`}
+                  >
+                    {errorOutput ? (
+                      <IconComponent
+                        className={classNames(
+                          "h-5 w-5 rounded-md text-status-red",
+                        )}
+                        name={"X"}
+                      />
+                    ) : (
+                      <IconComponent
+                        className={classNames(
+                          "h-5 w-5 rounded-md",
+                          displayOutputPreview && !unknownOutput
+                            ? "hover:text-medium-indigo"
+                            : "cursor-not-allowed text-muted-foreground",
+                        )}
+                        name={"ScanEye"}
+                      />
+                    )}
+                  </Button>
+                </ShadTooltip>
+              )}
+            </div>
           )}
-          <span className="text-status-red">{required ? " *" : ""}</span>
+          <span className={(required ? "ml-2 " : "") + "text-status-red"}>
+            {required ? "*" : ""}
+          </span>
           <div className="">
             {info !== "" && (
               <ShadTooltip content={infoHtml.current}>
                 {/* put div to avoid bug that does not display tooltip */}
-                <div>
+                <div className="cursor-help">
                   <IconComponent
                     name="Info"
-                    className="relative bottom-0.5 ml-2 h-3 w-4"
+                    className="relative bottom-px ml-1.5 h-3 w-4"
                   />
                 </div>
               </ShadTooltip>
             )}
           </div>
         </div>
+
         {left && LANGFLOW_SUPPORTED_TYPES.has(type ?? "") && !optionalHandle ? (
           <></>
         ) : (
-          <Button className="h-7 truncate bg-muted p-0 text-sm font-normal text-black hover:bg-muted">
-            <div className="flex">
-              <ShadTooltip
-                styleClasses={"tooltip-fixed-width custom-scroll nowheel"}
-                delayDuration={0}
-                content={refHtml.current}
-                side={left ? "left" : "right"}
-              >
-                <Handle
-                  type={left ? "target" : "source"}
-                  position={left ? Position.Left : Position.Right}
-                  key={
-                    proxy
-                      ? scapedJSONStringfy({ ...id, proxy })
-                      : scapedJSONStringfy(id)
-                  }
-                  id={
-                    proxy
-                      ? scapedJSONStringfy({ ...id, proxy })
-                      : scapedJSONStringfy(id)
-                  }
-                  isValidConnection={(connection) =>
-                    isValidConnection(connection, nodes, edges)
-                  }
-                  className={classNames(
-                    left ? "-ml-0.5 " : "-mr-0.5 ",
-                    "h-3 w-3 rounded-full border-2 bg-background"
-                  )}
-                  style={{
-                    borderColor: color,
-                  }}
-                  onClick={() => {
-                    setFilterEdge(groupedEdge.current);
-                  }}
-                ></Handle>
-              </ShadTooltip>
-            </div>
-          </Button>
+          <HandleRenderComponent
+            left={left}
+            nodes={nodes}
+            tooltipTitle={tooltipTitle}
+            proxy={proxy}
+            id={id}
+            title={title}
+            edges={edges}
+            myData={myData}
+            colors={colors}
+            setFilterEdge={setFilterEdge}
+            showNode={showNode}
+          />
         )}
 
-        {left === true &&
-        type === "str" &&
-        !data.node?.template[name].options ? (
-          <div className="mt-2 w-full">
-            {data.node?.template[name].list ? (
-              <InputListComponent
-                disabled={disabled}
-                value={
-                  !data.node.template[name].value ||
-                  data.node.template[name].value === ""
-                    ? [""]
-                    : data.node.template[name].value
+        <Case
+          condition={
+            left === true &&
+            TEXT_FIELD_TYPES.includes(type ?? "") &&
+            !data.node?.template[name]?.options
+          }
+        >
+          <div className="w-full">
+            <Case condition={data.node?.template[name]?.list}>
+              <div
+                className={
+                  // Commenting this out until we have a better
+                  // way to display
+                  // (data.node?.template[name]?.refresh ? "w-5/6 " : "") +
+                  "mt-2 flex-grow"
                 }
-                onChange={handleOnNewValue}
-              />
-            ) : data.node?.template[name].multiline ? (
-              <TextAreaComponent
-                disabled={disabled}
-                value={data.node.template[name].value ?? ""}
-                onChange={handleOnNewValue}
-                id={"textarea-" + data.node.template[name].name}
-                data-testid={"textarea-" + data.node.template[name].name}
-              />
-            ) : (
-              <div className="mt-2 flex w-full items-center">
-                <div className="w-5/6 flex-grow">
-                  <InputComponent
-                    id={"input-" + index}
+              >
+                <InputListComponent
+                  componentName={name}
+                  disabled={disabled}
+                  value={
+                    !data.node!.template[name]?.value ||
+                    data.node!.template[name]?.value === ""
+                      ? [""]
+                      : data.node!.template[name]?.value
+                  }
+                  onChange={handleOnNewValue}
+                />
+              </div>
+            </Case>
+            <Case condition={data.node?.template[name]?.multiline}>
+              <div className="mt-2 flex w-full flex-col">
+                <div className="flex-grow">
+                  <TextAreaComponent
                     disabled={disabled}
-                    password={data.node?.template[name].password ?? false}
-                    value={data.node?.template[name].value ?? ""}
+                    value={data.node!.template[name]?.value ?? ""}
                     onChange={handleOnNewValue}
+                    id={"textarea-" + data.node!.template[name]?.name}
+                    data-testid={"textarea-" + data.node!.template[name]?.name}
                   />
                 </div>
-                {data.node?.template[name].refresh && (
-                  <button
-                    className="extra-side-bar-buttons ml-2 mt-1 w-1/6"
-                    onClick={() => {
-                      handleUpdateValues(name, data);
+                {data.node?.template[name]?.refresh_button && (
+                  <div className="flex-grow">
+                    <RefreshButton
+                      isLoading={isLoading}
+                      disabled={disabled}
+                      name={name}
+                      data={data}
+                      button_text={
+                        data.node?.template[name].refresh_button_text
+                      }
+                      className="extra-side-bar-buttons mt-1"
+                      handleUpdateValues={handleRefreshButtonPress}
+                      id={"refresh-button-" + name}
+                    />
+                  </div>
+                )}
+              </div>
+            </Case>
+            <Case
+              condition={
+                !data.node?.template[name]?.multiline &&
+                !data.node?.template[name]?.list
+              }
+            >
+              <div className="mt-2 flex w-full items-center">
+                <div
+                  className={
+                    "flex-grow " +
+                    (data.node?.template[name]?.refresh_button ? "w-5/6" : "")
+                  }
+                >
+                  <InputGlobalComponent
+                    disabled={disabled}
+                    onChange={handleOnNewValue}
+                    setDb={(value) => {
+                      setNode(data.id, (oldNode) => {
+                        let newNode = cloneDeep(oldNode);
+                        newNode.data = {
+                          ...newNode.data,
+                        };
+                        newNode.data.node.template[name].load_from_db = value;
+                        return newNode;
+                      });
                     }}
-                  >
-                    <IconComponent name="RefreshCcw" />
-                  </button>
+                    name={name}
+                    data={data.node?.template[name]!}
+                  />
+                </div>
+                {data.node?.template[name]?.refresh_button && (
+                  <div className="w-1/6">
+                    <RefreshButton
+                      isLoading={isLoading}
+                      disabled={disabled}
+                      name={name}
+                      data={data}
+                      button_text={
+                        data.node?.template[name].refresh_button_text
+                      }
+                      className="extra-side-bar-buttons ml-2 mt-1"
+                      handleUpdateValues={handleRefreshButtonPress}
+                      id={"refresh-button-" + name}
+                    />
+                  </div>
                 )}
               </div>
-            )}
+            </Case>
           </div>
-        ) : left === true && type === "bool" ? (
+        </Case>
+
+        <Case condition={left === true && type === "bool"}>
           <div className="mt-2 w-full">
             <ToggleShadComponent
-              id={"toggle-" + index}
+              id={"toggle-" + name}
               disabled={disabled}
-              enabled={data.node?.template[name].value ?? false}
+              enabled={data.node?.template[name]?.value ?? false}
               setEnabled={handleOnNewValue}
               size="large"
+              editNode={false}
             />
           </div>
-        ) : left === true && type === "float" ? (
+        </Case>
+
+        <Case condition={left === true && type === "float"}>
           <div className="mt-2 w-full">
             <FloatComponent
               disabled={disabled}
-              value={data.node?.template[name].value ?? ""}
-              rangeSpec={data.node?.template[name].rangeSpec}
+              value={data.node?.template[name]?.value ?? ""}
+              rangeSpec={data.node?.template[name]?.rangeSpec}
               onChange={handleOnNewValue}
             />
           </div>
-        ) : left === true &&
-          type === "str" &&
-          data.node?.template[name].options ? (
-          // TODO: Improve CSS
-          <div className="mt-2 flex w-full items-center">
-            <div className="w-5/6 flex-grow">
+        </Case>
+
+        <Case
+          condition={
+            left === true &&
+            type === "str" &&
+            (data.node?.template[name]?.options ||
+              data.node?.template[name]?.real_time_refresh)
+          }
+        >
+          <div className="mt-2 flex w-full items-center gap-2">
+            <div className="flex-1">
               <Dropdown
-                options={data.node.template[name].options}
+                disabled={disabled}
+                isLoading={isLoading}
+                options={data.node!.template[name]?.options}
                 onSelect={handleOnNewValue}
-                value={data.node.template[name].value ?? "Choose an option"}
-                id={"dropdown-" + index}
+                value={data.node!.template[name]?.value}
+                id={"dropdown-" + name}
               />
             </div>
-            {data.node?.template[name].refresh && (
-              <button
-                className="extra-side-bar-buttons ml-2 mt-1 w-1/6"
-                onClick={() => {
-                  handleUpdateValues(name, data);
-                }}
-              >
-                <IconComponent name="RefreshCcw" />
-              </button>
+            {data.node?.template[name]?.refresh_button && (
+              <div className="w-1/6">
+                <RefreshButton
+                  isLoading={isLoading}
+                  disabled={disabled}
+                  name={name}
+                  data={data}
+                  button_text={data.node?.template[name]?.refresh_button_text}
+                  handleUpdateValues={handleRefreshButtonPress}
+                  id={"refresh-button-" + name}
+                />
+              </div>
             )}
           </div>
-        ) : left === true && type === "code" ? (
+        </Case>
+
+        <Case condition={left === true && type === "code"}>
           <div className="mt-2 w-full">
             <CodeAreaComponent
               readonly={
-                data.node?.flow && data.node.template[name].dynamic
+                data.node?.flow && data.node.template[name]?.dynamic
                   ? true
                   : false
               }
-              dynamic={data.node?.template[name].dynamic ?? false}
+              dynamic={data.node?.template[name]?.dynamic ?? false}
               setNodeClass={handleNodeClass}
               nodeClass={data.node}
               disabled={disabled}
-              value={data.node?.template[name].value ?? ""}
+              value={data.node?.template[name]?.value ?? ""}
               onChange={handleOnNewValue}
-              id={"code-input-" + index}
+              id={"code-input-" + name}
             />
           </div>
-        ) : left === true && type === "file" ? (
+        </Case>
+
+        <Case condition={left === true && type === "file"}>
           <div className="mt-2 w-full">
             <InputFileComponent
               disabled={disabled}
-              value={data.node?.template[name].value ?? ""}
+              value={data.node?.template[name]?.value ?? ""}
               onChange={handleOnNewValue}
-              fileTypes={data.node?.template[name].fileTypes}
+              fileTypes={data.node?.template[name]?.fileTypes}
               onFileChange={(filePath: string) => {
                 data.node!.template[name].file_path = filePath;
               }}
             ></InputFileComponent>
           </div>
-        ) : left === true && type === "int" ? (
+        </Case>
+
+        <Case condition={left === true && type === "int"}>
           <div className="mt-2 w-full">
             <IntComponent
+              rangeSpec={data.node?.template[name]?.rangeSpec}
               disabled={disabled}
-              value={data.node?.template[name].value ?? ""}
+              value={data.node?.template[name]?.value ?? ""}
               onChange={handleOnNewValue}
-              id={"int-input-" + index}
+              id={"int-input-" + name}
             />
           </div>
-        ) : left === true && type === "prompt" ? (
+        </Case>
+
+        <Case condition={left === true && type === "prompt"}>
           <div className="mt-2 w-full">
             <PromptAreaComponent
               readonly={data.node?.flow ? true : false}
@@ -515,50 +615,66 @@ export default function ParameterComponent({
               setNodeClass={handleNodeClass}
               nodeClass={data.node}
               disabled={disabled}
-              value={data.node?.template[name].value ?? ""}
+              value={data.node?.template[name]?.value ?? ""}
               onChange={handleOnNewValue}
-              id={"prompt-input-" + index}
-              data-testid={"prompt-input-" + index}
+              id={"prompt-input-" + name}
+              data-testid={"prompt-input-" + name}
             />
           </div>
-        ) : left === true && type === "NestedDict" ? (
-          <div className="mt-2 w-full">
+        </Case>
+
+        <Case condition={left === true && type === "NestedDict"}>
+          <div
+            className={"mt-2 w-full" + (disabled ? " cursor-not-allowed" : "")}
+          >
             <DictComponent
               disabled={disabled}
               editNode={false}
               value={
-                !data.node!.template[name].value ||
-                data.node!.template[name].value?.toString() === "{}"
-                  ? {
-                      yourkey: "value",
-                    }
-                  : data.node!.template[name].value
+                !data.node!.template[name]?.value ||
+                !Object.keys(data.node!.template[name]?.value || {}).length
+                  ? {}
+                  : data.node!.template[name]?.value
               }
               onChange={handleOnNewValue}
               id="div-dict-input"
             />
           </div>
-        ) : left === true && type === "dict" ? (
+        </Case>
+
+        <Case condition={left === true && type === "dict"}>
           <div className="mt-2 w-full">
             <KeypairListComponent
               disabled={disabled}
               editNode={false}
               value={
-                data.node!.template[name].value?.length === 0 ||
-                !data.node!.template[name].value
+                !data.node!.template[name]?.value ||
+                !Object.keys(data.node!.template[name]?.value || {}).length
                   ? [{ "": "" }]
-                  : convertObjToArray(data.node!.template[name].value)
+                  : convertObjToArray(data.node!.template[name]?.value, type!)
               }
               duplicateKey={errorDuplicateKey}
               onChange={(newValue) => {
                 const valueToNumbers = convertValuesToNumbers(newValue);
                 setErrorDuplicateKey(hasDuplicateKeys(valueToNumbers));
-                handleOnNewValue(valueToNumbers);
+                // if data.node?.template[name]?.list is true, then the value is an array of objects
+                // else we need to get the first object of the array
+
+                if (data.node?.template[name]?.list) {
+                  handleOnNewValue(valueToNumbers);
+                } else handleOnNewValue(valueToNumbers[0]);
               }}
+              isList={data.node?.template[name]?.list ?? false}
             />
           </div>
-        ) : (
-          <></>
+        </Case>
+        {openOutputModal && (
+          <OutputModal
+            open={openOutputModal}
+            nodeId={flowPoolId}
+            setOpen={setOpenOutputModal}
+            outputName={internalOutputName}
+          />
         )}
       </>
     </div>
diff --git a/src/frontend/src/CustomNodes/GenericNode/components/tooltipRenderComponent/index.tsx b/src/frontend/src/CustomNodes/GenericNode/components/tooltipRenderComponent/index.tsx
new file mode 100644
index 00000000000..ed276016144
--- /dev/null
+++ b/src/frontend/src/CustomNodes/GenericNode/components/tooltipRenderComponent/index.tsx
@@ -0,0 +1,91 @@
+import React from "react";
+import {
+  INPUT_HANDLER_HOVER,
+  OUTPUT_HANDLER_HOVER,
+} from "../../../../constants/constants";
+import {
+  nodeColors,
+  nodeIconsLucide,
+  nodeNames,
+} from "../../../../utils/styleUtils";
+import { classNames } from "../../../../utils/utils";
+
+const TooltipRenderComponent = ({ item, index, left }) => {
+  const Icon = nodeIconsLucide[item.family] ?? nodeIconsLucide["unknown"];
+
+  return (
+    <div
+      key={index}
+      data-testid={`available-${left ? "input" : "output"}-${item.family}`}
+    >
+      {index === 0 && (
+        <span>{left ? INPUT_HANDLER_HOVER : OUTPUT_HANDLER_HOVER}</span>
+      )}
+      <span
+        key={index}
+        className={classNames(
+          index > 0 ? "mt-2 flex items-center" : "mt-3 flex items-center",
+        )}
+      >
+        <div
+          className="h-5 w-5"
+          style={{
+            color: nodeColors[item.family],
+          }}
+        >
+          <Icon
+            className="h-5 w-5"
+            strokeWidth={1.5}
+            style={{
+              color: nodeColors[item.family] ?? nodeColors.unknown,
+            }}
+          />
+        </div>
+        <span
+          className="ps-2 text-xs text-foreground"
+          data-testid={`tooltip-${nodeNames[item.family] ?? "Other"}`}
+        >
+          {nodeNames[item.family] ?? "Other"}{" "}
+          {item?.display_name && item?.display_name?.length > 0 ? (
+            <span
+              className="text-xs"
+              data-testid={`tooltip-${item?.display_name}`}
+            >
+              {" "}
+              {item.display_name === "" ? "" : " - "}
+              {item.display_name.split(", ").length > 2
+                ? item.display_name.split(", ").map((el, index) => (
+                    <React.Fragment key={el + name}>
+                      <span>
+                        {index === item.display_name.split(", ").length - 1
+                          ? el
+                          : (el += `, `)}
+                      </span>
+                    </React.Fragment>
+                  ))
+                : item.display_name}
+            </span>
+          ) : (
+            <span className="text-xs" data-testid={`tooltip-${item?.type}`}>
+              {" "}
+              {item.type === "" ? "" : " - "}
+              {item.type.split(", ").length > 2
+                ? item.type.split(", ").map((el, index) => (
+                    <React.Fragment key={el + name}>
+                      <span>
+                        {index === item.type.split(", ").length - 1
+                          ? el
+                          : (el += `, `)}
+                      </span>
+                    </React.Fragment>
+                  ))
+                : item.type}
+            </span>
+          )}
+        </span>
+      </span>
+    </div>
+  );
+};
+
+export default TooltipRenderComponent;
diff --git a/src/frontend/src/CustomNodes/GenericNode/index.tsx b/src/frontend/src/CustomNodes/GenericNode/index.tsx
index 0d344bd65bb..18c2bbb6a8f 100644
--- a/src/frontend/src/CustomNodes/GenericNode/index.tsx
+++ b/src/frontend/src/CustomNodes/GenericNode/index.tsx
@@ -1,71 +1,194 @@
-import { useCallback, useEffect, useState } from "react";
-import { NodeToolbar } from "reactflow";
-import ShadTooltip from "../../components/ShadTooltipComponent";
-import Tooltip from "../../components/TooltipComponent";
-import IconComponent from "../../components/genericIconComponent";
+import emojiRegex from "emoji-regex";
+import { useEffect, useMemo, useState } from "react";
+import { useHotkeys } from "react-hotkeys-hook";
+import Markdown from "react-markdown";
+import { NodeToolbar, useUpdateNodeInternals } from "reactflow";
+import IconComponent, {
+  ForwardedIconComponent,
+} from "../../components/genericIconComponent";
 import InputComponent from "../../components/inputComponent";
+import ShadTooltip from "../../components/shadTooltipComponent";
+import { Button } from "../../components/ui/button";
 import { Textarea } from "../../components/ui/textarea";
-import { priorityFields } from "../../constants/constants";
+import {
+  RUN_TIMESTAMP_PREFIX,
+  STATUS_BUILD,
+  STATUS_BUILDING,
+  STATUS_INACTIVE,
+  TOOLTIP_OUTDATED_NODE,
+} from "../../constants/constants";
+import { BuildStatus } from "../../constants/enums";
+import { postCustomComponent } from "../../controllers/API";
 import NodeToolbarComponent from "../../pages/FlowPage/components/nodeToolbarComponent";
+import useAlertStore from "../../stores/alertStore";
+import { useDarkStore } from "../../stores/darkStore";
 import useFlowStore from "../../stores/flowStore";
 import useFlowsManagerStore from "../../stores/flowsManagerStore";
+import { useShortcutsStore } from "../../stores/shortcuts";
 import { useTypesStore } from "../../stores/typesStore";
-import { validationStatusType } from "../../types/components";
+import { VertexBuildTypeAPI } from "../../types/api";
 import { NodeDataType } from "../../types/flow";
 import { handleKeyDown, scapedJSONStringfy } from "../../utils/reactflowUtils";
 import { nodeColors, nodeIconsLucide } from "../../utils/styleUtils";
-import { classNames, cn, getFieldTitle } from "../../utils/utils";
+import { classNames, cn } from "../../utils/utils";
+import { countHandlesFn } from "../helpers/count-handles";
+import { getSpecificClassFromBuildStatus } from "../helpers/get-class-from-build-status";
+import { getNodeInputColors } from "../helpers/get-node-input-colors";
+import { getNodeOutputColors } from "../helpers/get-node-output-colors";
+import useCheckCodeValidity from "../hooks/use-check-code-validity";
+import useIconNodeRender from "../hooks/use-icon-render";
+import useIconStatus from "../hooks/use-icons-status";
+import useUpdateNodeCode from "../hooks/use-update-node-code";
+import useUpdateValidationStatus from "../hooks/use-update-validation-status";
+import useValidationStatusString from "../hooks/use-validation-status-string";
+import getFieldTitle from "../utils/get-field-title";
+import sortFields from "../utils/sort-fields";
 import ParameterComponent from "./components/parameterComponent";
 
 export default function GenericNode({
   data,
-  xPos,
-  yPos,
+
   selected,
 }: {
   data: NodeDataType;
   selected: boolean;
-  xPos: number;
-  yPos: number;
+  xPos?: number;
+  yPos?: number;
 }): JSX.Element {
+  const preventDefault = true;
   const types = useTypesStore((state) => state.types);
+  const templates = useTypesStore((state) => state.templates);
   const deleteNode = useFlowStore((state) => state.deleteNode);
+  const flowPool = useFlowStore((state) => state.flowPool);
+  const buildFlow = useFlowStore((state) => state.buildFlow);
   const setNode = useFlowStore((state) => state.setNode);
-  const name = nodeIconsLucide[data.type] ? data.type : types[data.type];
+  const updateNodeInternals = useUpdateNodeInternals();
+  const setErrorData = useAlertStore((state) => state.setErrorData);
+  const isDark = useDarkStore((state) => state.dark);
+
+  const takeSnapshot = useFlowsManagerStore((state) => state.takeSnapshot);
+
   const [inputName, setInputName] = useState(false);
   const [nodeName, setNodeName] = useState(data.node!.display_name);
   const [inputDescription, setInputDescription] = useState(false);
   const [nodeDescription, setNodeDescription] = useState(
-    data.node?.description!
+    data.node?.description!,
+  );
+  const [isOutdated, setIsOutdated] = useState(false);
+  const [isUserEdited, setIsUserEdited] = useState(false);
+  const buildStatus = useFlowStore(
+    (state) => state.flowBuildStatus[data.id]?.status,
+  );
+  const lastRunTime = useFlowStore(
+    (state) => state.flowBuildStatus[data.id]?.timestamp,
   );
   const [validationStatus, setValidationStatus] =
-    useState<validationStatusType | null>(null);
+    useState<VertexBuildTypeAPI | null>(null);
   const [handles, setHandles] = useState<number>(0);
+  const [validationString, setValidationString] = useState<string>("");
 
-  const takeSnapshot = useFlowsManagerStore((state) => state.takeSnapshot);
+  const iconStatus = useIconStatus(buildStatus, validationStatus);
+  const [showNode, setShowNode] = useState(data.showNode ?? true);
+  // State for outline color
+  const isBuilding = useFlowStore((state) => state.isBuilding);
 
-  function countHandles(): void {
-    let count = Object.keys(data.node!.template)
-      .filter((templateField) => templateField.charAt(0) !== "_")
-      .map((templateCamp) => {
-        const { template } = data.node!;
-        if (template[templateCamp].input_types) return true;
-        if (!template[templateCamp].show) return false;
-        switch (template[templateCamp].type) {
-          case "str":
-          case "bool":
-          case "float":
-          case "code":
-          case "prompt":
-          case "file":
-          case "int":
-            return false;
-          default:
-            return true;
-        }
-      })
-      .reduce((total, value) => total + (value ? 1 : 0), 0);
+  const updateNodeCode = useUpdateNodeCode(
+    data?.id,
+    data.node!,
+    setNode,
+    setIsOutdated,
+    setIsUserEdited,
+    updateNodeInternals,
+  );
+
+  const name = nodeIconsLucide[data.type] ? data.type : types[data.type];
+
+  const nodeIconFragment = (icon) => {
+    return <span className="text-lg">{icon}</span>;
+  };
+
+  const checkNodeIconFragment = (iconColor, iconName, iconClassName) => {
+    return (
+      <IconComponent
+        name={iconName}
+        className={iconClassName}
+        iconColor={iconColor}
+      />
+    );
+  };
+
+  const renderIconStatus = () => {
+    return <div className="cursor-help">{iconStatus}</div>;
+  };
+
+  const getNodeBorderClassName = (
+    selected: boolean,
+    showNode: boolean,
+    buildStatus: BuildStatus | undefined,
+    validationStatus: VertexBuildTypeAPI | null,
+  ) => {
+    const specificClassFromBuildStatus = getSpecificClassFromBuildStatus(
+      buildStatus,
+      validationStatus,
+      isDark,
+    );
+
+    const baseBorderClass = getBaseBorderClass(selected);
+    const nodeSizeClass = getNodeSizeClass(showNode);
+    const names = classNames(
+      baseBorderClass,
+      nodeSizeClass,
+      "generic-node-div group/node",
+      specificClassFromBuildStatus,
+    );
+    return names;
+  };
+
+  //  const [openWDoubleCLick, setOpenWDoubleCLick] = useState(false);
+
+  const getBaseBorderClass = (selected) => {
+    let className = selected
+      ? "border border-ring hover:shadow-node"
+      : "border hover:shadow-node";
+    let frozenClass = selected ? "border-ring-frozen" : "border-frozen";
+    return data.node?.frozen ? frozenClass : className;
+  };
+
+  const getNodeSizeClass = (showNode) =>
+    showNode ? "w-96 rounded-lg" : "w-26 h-26 rounded-full";
+
+  const nameEditable = true;
+  const isEmoji = emojiRegex().test(data?.node?.icon!);
+
+  if (!data.node!.template) {
+    setErrorData({
+      title: `Error in component ${data.node!.display_name}`,
+      list: [
+        `The component ${data.node!.display_name} has no template.`,
+        `Please contact the developer of the component to fix this issue.`,
+      ],
+    });
+    takeSnapshot();
+    deleteNode(data.id);
+  }
+
+  useCheckCodeValidity(data, templates, setIsOutdated, setIsUserEdited, types);
+  useUpdateValidationStatus(data?.id, flowPool, setValidationStatus);
+  useValidationStatusString(validationStatus, setValidationString);
+
+  const iconNodeRender = useIconNodeRender(
+    data,
+    types,
+    nodeColors,
+    name,
+    showNode,
+    isEmoji,
+    nodeIconFragment,
+    checkNodeIconFragment,
+  );
 
+  function countHandles(): void {
+    const count = countHandlesFn(data);
     setHandles(count);
   }
 
@@ -80,10 +203,6 @@ export default function GenericNode({
     }
   }, [selected]);
 
-  // State for outline color
-  const sseData = useFlowStore((state) => state.sseData);
-  const isBuilding = useFlowStore((state) => state.isBuilding);
-
   useEffect(() => {
     setNodeDescription(data.node!.description);
   }, [data.node!.description]);
@@ -92,80 +211,168 @@ export default function GenericNode({
     setNodeName(data.node!.display_name);
   }, [data.node!.display_name]);
 
-  // New useEffect to watch for changes in sseData and update validation status
   useEffect(() => {
-    const relevantData = sseData[data.id];
-    if (relevantData) {
-      // Extract validation information from relevantData and update the validationStatus state
-      setValidationStatus(relevantData);
-    } else {
-      setValidationStatus(null);
-    }
-  }, [sseData, data.id]);
+    setShowNode(data.showNode ?? true);
+  }, [data.showNode]);
 
-  const showNode = data.showNode ?? true;
+  const [loadingUpdate, setLoadingUpdate] = useState(false);
 
-  const nameEditable = data.node?.flow || data.type === "CustomComponent";
+  const [showHiddenOutputs, setShowHiddenOutputs] = useState(false);
 
-  const emojiRegex = /\p{Emoji}/u;
-  const isEmoji = emojiRegex.test(data?.node?.icon!);
+  const handleUpdateCode = () => {
+    setLoadingUpdate(true);
+    takeSnapshot();
+    // to update we must get the code from the templates in useTypesStore
+    const thisNodeTemplate = templates[data.type]?.template;
+    // if the template does not have a code key
+    // return
+    if (!thisNodeTemplate?.code) return;
 
-  const iconNodeRender = useCallback(() => {
-    const iconElement = data?.node?.icon;
-    const iconColor = nodeColors[types[data.type]];
-    const iconName =
-      iconElement || (data.node?.flow ? "group_components" : name);
-    const iconClassName = `generic-node-icon ${
-      !showNode ? "absolute inset-x-6 h-12 w-12" : ""
-    }`;
+    const currentCode = thisNodeTemplate.code.value;
+    if (data.node) {
+      postCustomComponent(currentCode, data.node)
+        .then((apiReturn) => {
+          const { data, type } = apiReturn.data;
+          if (data && type && updateNodeCode) {
+            updateNodeCode(data, currentCode, "code", type);
+            setLoadingUpdate(false);
+          }
+        })
+        .catch((err) => {
+          setErrorData({
+            title: "Error updating Compoenent code",
+            list: [
+              "There was an error updating the Component.",
+              "If the error persists, please report it on our Discord or GitHub.",
+            ],
+          });
+          setLoadingUpdate(false);
+          console.log(err);
+        });
+    }
+  };
 
-    if (iconElement && isEmoji) {
-      return nodeIconFragment(iconElement);
-    } else {
-      return checkNodeIconFragment(iconColor, iconName, iconClassName);
+  function handleUpdateCodeWShortcut() {
+    if (isOutdated && selected) {
+      handleUpdateCode();
     }
-  }, [data, isEmoji, name, showNode]);
+  }
 
-  const nodeIconFragment = (icon) => {
-    return <span className="text-lg">{icon}</span>;
-  };
+  const shownOutputs =
+    data.node!.outputs?.filter((output) => !output.hidden) ?? [];
 
-  const checkNodeIconFragment = (iconColor, iconName, iconClassName) => {
+  const hiddenOutputs =
+    data.node!.outputs?.filter((output) => output.hidden) ?? [];
+
+  function handlePlayWShortcut() {
+    if (buildStatus === BuildStatus.BUILDING || isBuilding || !selected) return;
+    setValidationStatus(null);
+    console.log(data.node?.display_name);
+    buildFlow({ stopNodeId: data.id });
+  }
+
+  const update = useShortcutsStore((state) => state.update);
+  const play = useShortcutsStore((state) => state.play);
+
+  useHotkeys(update, handleUpdateCodeWShortcut, { preventDefault });
+  useHotkeys(play, handlePlayWShortcut, { preventDefault });
+
+  const shortcuts = useShortcutsStore((state) => state.shortcuts);
+
+  const renderOutputParameter = (output, idx) => {
     return (
-      <IconComponent
-        name={iconName}
-        className={iconClassName}
-        iconColor={iconColor}
+      <ParameterComponent
+        index={idx}
+        key={
+          scapedJSONStringfy({
+            output_types: output.types,
+            name: output.name,
+            id: data.id,
+            dataType: data.type,
+          }) + idx
+        }
+        data={data}
+        colors={getNodeOutputColors(output, data, types)}
+        outputProxy={output.proxy}
+        title={output.display_name ?? output.name}
+        tooltipTitle={output.selected ?? output.types[0]}
+        id={{
+          output_types: [output.selected ?? output.types[0]],
+          id: data.id,
+          dataType: data.type,
+          name: output.name,
+        }}
+        type={output.types.join("|")}
+        left={false}
+        showNode={showNode}
+        outputName={output.name}
       />
     );
   };
 
-  return (
-    <>
+  useEffect(() => {
+    if (hiddenOutputs && hiddenOutputs.length == 0) {
+      setShowHiddenOutputs(false);
+    }
+  }, [hiddenOutputs]);
+
+  const memoizedNodeToolbarComponent = useMemo(() => {
+    return (
       <NodeToolbar>
         <NodeToolbarComponent
-          position={{ x: xPos, y: yPos }}
+          //          openWDoubleClick={openWDoubleCLick}
+          //          setOpenWDoubleClick={setOpenWDoubleCLick}
           data={data}
           deleteNode={(id) => {
             takeSnapshot();
             deleteNode(id);
           }}
-          setShowNode={(show: boolean) => {
+          setShowNode={(show) => {
             setNode(data.id, (old) => ({
               ...old,
               data: { ...old.data, showNode: show },
             }));
           }}
+          setShowState={setShowNode}
           numberOfHandles={handles}
+          numberOfOutputHandles={shownOutputs.length ?? 0}
           showNode={showNode}
-        ></NodeToolbarComponent>
+          openAdvancedModal={false}
+          onCloseAdvancedModal={() => {}}
+          updateNode={handleUpdateCode}
+          isOutdated={isOutdated && isUserEdited}
+        />
       </NodeToolbar>
-
+    );
+  }, [
+    data,
+    deleteNode,
+    takeSnapshot,
+    setNode,
+    setShowNode,
+    handles,
+    showNode,
+    updateNodeCode,
+    isOutdated,
+    isUserEdited,
+    selected,
+    shortcuts,
+    //    openWDoubleCLick,
+    //    setOpenWDoubleCLick,
+  ]);
+  return (
+    <>
+      {memoizedNodeToolbarComponent}
       <div
-        className={classNames(
-          selected ? "border border-ring" : "border",
-          showNode ? " w-96 rounded-lg" : " w-26 h-26 rounded-full",
-          "generic-node-div"
+        //        onDoubleClick={(event) => {
+        //          if (!isWrappedWithClass(event, "nodoubleclick"))
+        //            setOpenWDoubleCLick(true);
+        //        }}
+        className={getNodeBorderClassName(
+          selected,
+          showNode,
+          buildStatus,
+          validationStatus,
         )}
       >
         {data.node?.beta && showNode && (
@@ -179,15 +386,16 @@ export default function GenericNode({
             className={
               "generic-node-div-title " +
               (!showNode
-                ? " relative h-24 w-24 rounded-full "
-                : " justify-between rounded-t-lg ")
+                ? " relative h-24 w-24 rounded-full"
+                : " justify-between rounded-t-lg")
             }
           >
             <div
               className={
                 "generic-node-title-arrangement rounded-full" +
-                (!showNode && " justify-center ")
+                (!showNode && " justify-center")
               }
+              data-testid="generic-node-title-arrangement"
             >
               {iconNodeRender()}
               {showNode && (
@@ -217,31 +425,43 @@ export default function GenericNode({
                         onChange={setNodeName}
                         password={false}
                         blurOnEnter={true}
+                        id={`input-title-${data.node?.display_name}`}
                       />
                     </div>
                   ) : (
-                    <ShadTooltip content={data.node?.display_name}>
-                      <div
-                        className="flex"
-                        onDoubleClick={() => {
-                          setInputName(true);
-                          takeSnapshot();
-                        }}
-                      >
+                    <div className="group flex items-center gap-1">
+                      <ShadTooltip content={data.node?.display_name}>
                         <div
+                          onDoubleClick={(event) => {
+                            if (nameEditable) {
+                              setInputName(true);
+                            }
+                            takeSnapshot();
+                            event.stopPropagation();
+                            event.preventDefault();
+                          }}
                           data-testid={"title-" + data.node?.display_name}
-                          className="generic-node-tooltip-div pr-2 text-primary"
+                          className="nodoubleclick generic-node-tooltip-div cursor-text text-primary"
                         >
                           {data.node?.display_name}
                         </div>
-                        {nameEditable && (
-                          <IconComponent
-                            name="Pencil"
-                            className="h-4 w-4 text-ring"
-                          />
-                        )}
-                      </div>
-                    </ShadTooltip>
+                      </ShadTooltip>
+                      {isOutdated && !isUserEdited && (
+                        <ShadTooltip content={TOOLTIP_OUTDATED_NODE}>
+                          <Button
+                            onClick={handleUpdateCode}
+                            unstyled
+                            className={"group p-1"}
+                            loading={loadingUpdate}
+                          >
+                            <IconComponent
+                              name="AlertTriangle"
+                              className="h-5 w-5 fill-status-yellow text-muted"
+                            />
+                          </Button>
+                        </ShadTooltip>
+                      )}
+                    </div>
                   )}
                 </div>
               )}
@@ -253,10 +473,11 @@ export default function GenericNode({
                     .filter((templateField) => templateField.charAt(0) !== "_")
                     .map(
                       (templateField: string, idx) =>
-                        data.node!.template[templateField].show &&
-                        !data.node!.template[templateField].advanced && (
+                        data.node!.template[templateField]?.show &&
+                        !data.node!.template[templateField]?.advanced && (
                           <ParameterComponent
-                            index={idx.toString()}
+                            selected={selected}
+                            index={idx}
                             key={scapedJSONStringfy({
                               inputTypes:
                                 data.node!.template[templateField].input_types,
@@ -266,18 +487,14 @@ export default function GenericNode({
                               proxy: data.node!.template[templateField].proxy,
                             })}
                             data={data}
-                            color={
-                              nodeColors[
-                                types[data.node?.template[templateField].type!]
-                              ] ??
-                              nodeColors[
-                                data.node?.template[templateField].type!
-                              ] ??
-                              nodeColors.unknown
-                            }
+                            colors={getNodeInputColors(
+                              data.node?.template[templateField].input_types,
+                              data.node?.template[templateField].type,
+                              types,
+                            )}
                             title={getFieldTitle(
                               data.node?.template!,
-                              templateField
+                              templateField,
                             )}
                             info={data.node?.template[templateField].info}
                             name={templateField}
@@ -305,114 +522,104 @@ export default function GenericNode({
                             proxy={data.node?.template[templateField].proxy}
                             showNode={showNode}
                           />
-                        )
+                        ),
                     )}
-                  <ParameterComponent
-                    key={scapedJSONStringfy({
-                      baseClasses: data.node!.base_classes,
-                      id: data.id,
-                      dataType: data.type,
-                    })}
-                    data={data}
-                    color={nodeColors[types[data.type]] ?? nodeColors.unknown}
-                    title={
-                      data.node?.output_types &&
-                      data.node.output_types.length > 0
-                        ? data.node.output_types.join(" | ")
-                        : data.type
-                    }
-                    tooltipTitle={data.node?.base_classes.join("\n")}
-                    id={{
-                      baseClasses: data.node!.base_classes,
-                      id: data.id,
-                      dataType: data.type,
-                    }}
-                    type={data.node?.base_classes.join("|")}
-                    left={false}
-                    showNode={showNode}
-                  />
+                  {shownOutputs &&
+                    shownOutputs.length > 0 &&
+                    renderOutputParameter(shownOutputs[0], 0)}
                 </>
               )}
             </div>
-
             {showNode && (
-              <div className="round-button-div">
-                <div>
-                  <Tooltip
-                    title={
-                      isBuilding ? (
-                        <span>Building...</span>
+              <>
+                <div className="flex flex-shrink-0 items-center gap-2">
+                  <ShadTooltip
+                    content={
+                      buildStatus === BuildStatus.BUILDING ? (
+                        <span> {STATUS_BUILDING} </span>
+                      ) : buildStatus === BuildStatus.INACTIVE ? (
+                        <span> {STATUS_INACTIVE} </span>
                       ) : !validationStatus ? (
-                        <span className="flex">
-                          Build{" "}
-                          <IconComponent
-                            name="Zap"
-                            className="mx-0.5 h-5 fill-build-trigger stroke-build-trigger stroke-1"
-                          />{" "}
-                          flow to validate status.
-                        </span>
+                        <span className="flex">{STATUS_BUILD}</span>
                       ) : (
-                        <div className="max-h-96 overflow-auto">
-                          {typeof validationStatus.params === "string"
-                            ? `Duration: ${validationStatus.duration}\n${validationStatus.params}`
-                                .split("\n")
-                                .map((line, index) => (
-                                  <div key={index}>{line}</div>
-                                ))
-                            : ""}
+                        <div className="max-h-100 p-2">
+                          <div className="max-h-80 overflow-auto">
+                            {validationString && (
+                              <div className="ml-1 pb-2 text-status-red">
+                                {validationString}
+                              </div>
+                            )}
+                            {lastRunTime && (
+                              <div className="justify-left flex font-normal text-muted-foreground">
+                                <div>{RUN_TIMESTAMP_PREFIX}</div>
+                                <div className="ml-1 text-status-blue">
+                                  {lastRunTime}
+                                </div>
+                              </div>
+                            )}
+                          </div>
+                          <div className="justify-left flex font-normal text-muted-foreground">
+                            <div>Duration:</div>
+                            <div className="ml-1 text-status-blue">
+                              {validationStatus?.data.duration}
+                            </div>
+                          </div>
                         </div>
                       )
                     }
+                    side="bottom"
                   >
-                    <div className="generic-node-status-position">
-                      <div
-                        className={classNames(
-                          validationStatus && validationStatus.valid
-                            ? "green-status"
-                            : "status-build-animation",
-                          "status-div"
-                        )}
-                      ></div>
-                      <div
-                        className={classNames(
-                          validationStatus && !validationStatus.valid
-                            ? "red-status"
-                            : "status-build-animation",
-                          "status-div"
-                        )}
-                      ></div>
-                      <div
-                        className={classNames(
-                          !validationStatus || isBuilding
-                            ? "yellow-status"
-                            : "status-build-animation",
-                          "status-div"
-                        )}
-                      ></div>
+                    {renderIconStatus()}
+                  </ShadTooltip>
+                  <Button
+                    onClick={() => {
+                      if (buildStatus === BuildStatus.BUILDING || isBuilding)
+                        return;
+                      setValidationStatus(null);
+                      buildFlow({ stopNodeId: data.id });
+                    }}
+                    unstyled
+                    className="group p-1"
+                  >
+                    <div
+                      data-testid={
+                        `button_run_` + data?.node?.display_name.toLowerCase()
+                      }
+                    >
+                      <IconComponent
+                        name="Play"
+                        className={
+                          "h-5 w-5 fill-current stroke-2 text-muted-foreground transition-all group-hover:text-medium-indigo group-hover/node:opacity-100"
+                        }
+                      />
                     </div>
-                  </Tooltip>
+                  </Button>
                 </div>
-              </div>
+              </>
             )}
           </div>
         </div>
 
         {showNode && (
           <div
-            className={
+            className={cn(
               showNode
                 ? data.node?.description === "" && !nameEditable
-                  ? "pb-5"
-                  : "py-5"
-                : ""
-            }
+                  ? "pb-8"
+                  : "pb-8 pt-5"
+                : "",
+              "relative",
+            )}
           >
+            {/* increase height!! */}
             <div className="generic-node-desc">
               {showNode && nameEditable && inputDescription ? (
                 <Textarea
+                  className="nowheel min-h-40"
                   autoFocus
                   onBlur={() => {
                     setInputDescription(false);
+                    setInputName(false);
                     setNodeDescription(nodeDescription);
                     setNode(data.id, (old) => ({
                       ...old,
@@ -453,43 +660,40 @@ export default function GenericNode({
               ) : (
                 <div
                   className={cn(
-                    "generic-node-desc-text truncate-multiline word-break-break-word",
+                    "nodoubleclick generic-node-desc-text cursor-text word-break-break-word",
                     (data.node?.description === "" ||
                       !data.node?.description) &&
                       nameEditable
                       ? "font-light italic"
-                      : ""
+                      : "",
                   )}
-                  onDoubleClick={() => {
+                  onDoubleClick={(e) => {
                     setInputDescription(true);
                     takeSnapshot();
                   }}
                 >
                   {(data.node?.description === "" || !data.node?.description) &&
-                  nameEditable
-                    ? "Double Click to Edit Description"
-                    : data.node?.description}
+                  nameEditable ? (
+                    "Double Click to Edit Description"
+                  ) : (
+                    <Markdown className="markdown prose flex flex-col text-primary word-break-break-word dark:prose-invert">
+                      {String(data.node?.description)}
+                    </Markdown>
+                  )}
                 </div>
               )}
             </div>
             <>
               {Object.keys(data.node!.template)
                 .filter((templateField) => templateField.charAt(0) !== "_")
-                .sort((a, b) => {
-                  if (priorityFields.has(a.toLowerCase())) {
-                    return -1;
-                  } else if (priorityFields.has(b.toLowerCase())) {
-                    return 1;
-                  } else {
-                    return a.localeCompare(b);
-                  }
-                })
+                .sort((a, b) => sortFields(a, b, data.node?.field_order ?? []))
                 .map((templateField: string, idx) => (
                   <div key={idx}>
-                    {data.node!.template[templateField].show &&
-                    !data.node!.template[templateField].advanced ? (
+                    {data.node!.template[templateField]?.show &&
+                    !data.node!.template[templateField]?.advanced ? (
                       <ParameterComponent
-                        index={idx.toString()}
+                        selected={selected}
+                        index={idx}
                         key={scapedJSONStringfy({
                           inputTypes:
                             data.node!.template[templateField].input_types,
@@ -499,24 +703,20 @@ export default function GenericNode({
                           proxy: data.node!.template[templateField].proxy,
                         })}
                         data={data}
-                        color={
-                          nodeColors[
-                            data.node?.template[templateField].type!
-                          ] ??
-                          nodeColors[
-                            types[data.node?.template[templateField].type!]
-                          ] ??
-                          nodeColors.unknown
-                        }
+                        colors={getNodeInputColors(
+                          data.node?.template[templateField].input_types,
+                          data.node?.template[templateField].type,
+                          types,
+                        )}
                         title={getFieldTitle(
                           data.node?.template!,
-                          templateField
+                          templateField,
                         )}
                         info={data.node?.template[templateField].info}
                         name={templateField}
                         tooltipTitle={
                           data.node?.template[templateField].input_types?.join(
-                            "\n"
+                            "\n",
                           ) ?? data.node?.template[templateField].type
                         }
                         required={data.node!.template[templateField].required}
@@ -543,41 +743,61 @@ export default function GenericNode({
               <div
                 className={classNames(
                   Object.keys(data.node!.template).length < 1 ? "hidden" : "",
-                  "flex-max-width justify-center"
+                  "flex-max-width justify-center",
                 )}
               >
                 {" "}
               </div>
-              {data.node!.base_classes.length > 0 && (
-                <ParameterComponent
-                  key={scapedJSONStringfy({
-                    baseClasses: data.node!.base_classes,
-                    id: data.id,
-                    dataType: data.type,
-                  })}
-                  data={data}
-                  color={
-                    (data.node?.output_types &&
-                    data.node.output_types.length > 0
-                      ? nodeColors[data.node.output_types[0]] ??
-                        nodeColors[types[data.node.output_types[0]]]
-                      : nodeColors[types[data.type]]) ?? nodeColors.unknown
-                  }
-                  title={
-                    data.node?.output_types && data.node.output_types.length > 0
-                      ? data.node.output_types.join(" | ")
-                      : data.type
-                  }
-                  tooltipTitle={data.node?.base_classes.join("\n")}
-                  id={{
-                    baseClasses: data.node!.base_classes,
-                    id: data.id,
-                    dataType: data.type,
-                  }}
-                  type={data.node?.base_classes.join("|")}
-                  left={false}
-                  showNode={showNode}
-                />
+              {!showHiddenOutputs &&
+                shownOutputs &&
+                shownOutputs.map((output, idx) =>
+                  renderOutputParameter(
+                    output,
+                    data.node!.outputs?.findIndex(
+                      (out) => out.name === output.name,
+                    ) ?? idx,
+                  ),
+                )}
+              <div
+                className={cn(showHiddenOutputs ? "" : "h-0 overflow-hidden")}
+              >
+                <div className="block">
+                  {data.node!.outputs &&
+                    data.node!.outputs.map((output, idx) =>
+                      renderOutputParameter(
+                        output,
+                        data.node!.outputs?.findIndex(
+                          (out) => out.name === output.name,
+                        ) ?? idx,
+                      ),
+                    )}
+                </div>
+              </div>
+              {hiddenOutputs && hiddenOutputs.length > 0 && (
+                <div
+                  className={cn(
+                    "absolute left-0 right-0 flex justify-center",
+                    (shownOutputs && shownOutputs.length > 0) ||
+                      showHiddenOutputs
+                      ? "bottom-5"
+                      : "bottom-1.5",
+                  )}
+                >
+                  <Button
+                    unstyled
+                    className="left-0 right-0 rounded-full border bg-background"
+                    onClick={() => setShowHiddenOutputs(!showHiddenOutputs)}
+                  >
+                    <ForwardedIconComponent
+                      name={"ChevronDown"}
+                      strokeWidth={1.5}
+                      className={cn(
+                        "h-5 w-5 pt-px text-muted-foreground group-hover:text-medium-indigo group-hover/node:opacity-100",
+                        showHiddenOutputs ? "rotate-180 transform" : "",
+                      )}
+                    />
+                  </Button>
+                </div>
               )}
             </>
           </div>
diff --git a/src/frontend/src/CustomNodes/helpers/count-handles.ts b/src/frontend/src/CustomNodes/helpers/count-handles.ts
new file mode 100644
index 00000000000..f529d21dcc7
--- /dev/null
+++ b/src/frontend/src/CustomNodes/helpers/count-handles.ts
@@ -0,0 +1,30 @@
+import { NodeDataType } from "../../types/flow";
+
+export function countHandlesFn(data: NodeDataType): number {
+  let count = Object.keys(data.node!.template)
+    .filter(
+      (templateField) =>
+        templateField.charAt(0) !== "_" &&
+        !data.node!.template[templateField].advanced,
+    )
+    .map((templateCamp) => {
+      const { template } = data.node!;
+      if (template[templateCamp]?.input_types) return true;
+      if (!template[templateCamp]?.show) return false;
+      switch (template[templateCamp]?.type) {
+        case "str":
+        case "bool":
+        case "float":
+        case "code":
+        case "prompt":
+        case "file":
+        case "int":
+          return false;
+        default:
+          return true;
+      }
+    })
+    .reduce((total, value) => total + (value ? 1 : 0), 0);
+
+  return count;
+}
diff --git a/src/frontend/src/CustomNodes/helpers/get-class-from-build-status.ts b/src/frontend/src/CustomNodes/helpers/get-class-from-build-status.ts
new file mode 100644
index 00000000000..d21d2eb17fa
--- /dev/null
+++ b/src/frontend/src/CustomNodes/helpers/get-class-from-build-status.ts
@@ -0,0 +1,20 @@
+import { BuildStatus } from "../../constants/enums";
+import { VertexBuildTypeAPI } from "../../types/api";
+
+export const getSpecificClassFromBuildStatus = (
+  buildStatus: BuildStatus | undefined,
+  validationStatus: VertexBuildTypeAPI | null,
+  isDark: boolean,
+) => {
+  let isInvalid = validationStatus && !validationStatus.valid;
+  if (
+    (buildStatus === BuildStatus.BUILT && isInvalid) ||
+    buildStatus === BuildStatus.ERROR
+  ) {
+    return isDark ? "built-invalid-status-dark" : "built-invalid-status";
+  } else if (buildStatus === BuildStatus.BUILDING) {
+    return "building-status";
+  } else {
+    return "";
+  }
+};
diff --git a/src/frontend/src/CustomNodes/helpers/get-node-input-colors.ts b/src/frontend/src/CustomNodes/helpers/get-node-input-colors.ts
new file mode 100644
index 00000000000..abff92936c4
--- /dev/null
+++ b/src/frontend/src/CustomNodes/helpers/get-node-input-colors.ts
@@ -0,0 +1,34 @@
+import { nodeColors } from "../../utils/styleUtils";
+
+export function getNodeInputColors(input_types, type, types) {
+  // Helper function to get the color based on type
+  const getColorByType = (type) => nodeColors[type] ?? nodeColors.unknown;
+
+  // If input_types is not null and has elements, map colors based on input_types
+  if (input_types && input_types.length > 0) {
+    // Map through input_types and get colors from nodeColors
+    const colorsFromInputs = input_types
+      .map((input) => nodeColors[input])
+      .filter((color) => color);
+    if (colorsFromInputs.length > 0) {
+      return colorsFromInputs;
+    }
+
+    // If no valid colors found in the previous step, map colors based on types[nodeColors[input]]
+    const colorsFromInputTypes = input_types
+      .map((input) => getColorByType(types[input]))
+      .filter((color) => color);
+    if (colorsFromInputTypes.length > 0) {
+      return colorsFromInputTypes;
+    }
+  }
+
+  // If input_types is null or empty, use the fallback logic
+  const fallbackColors = [getColorByType(type)];
+  if (fallbackColors.length > 0) {
+    return fallbackColors;
+  }
+
+  // Default to unknown color
+  return [nodeColors.unknown];
+}
diff --git a/src/frontend/src/CustomNodes/helpers/get-node-output-colors.ts b/src/frontend/src/CustomNodes/helpers/get-node-output-colors.ts
new file mode 100644
index 00000000000..d846a304e76
--- /dev/null
+++ b/src/frontend/src/CustomNodes/helpers/get-node-output-colors.ts
@@ -0,0 +1,33 @@
+import { nodeColors } from "../../utils/styleUtils";
+
+export function getNodeOutputColors(output, data, types): string[] {
+  // Helper function to get the color based on type
+  const getColorByType = (type) => nodeColors[type] ?? nodeColors.unknown;
+
+  // Try to get the color based on the selected node
+  let color: string = nodeColors[output.selected];
+  if (color) return [color];
+
+  // Try to get the colors based on the output types
+  let colors: string[] = output.types
+    .map((type) => nodeColors[type])
+    .filter((color) => color);
+  if (colors.length > 0) return colors;
+
+  // Try to get the color based on the type of the selected node
+  color = nodeColors[types[output.selected]];
+  if (color) return [color];
+
+  // Try to get the colors based on the types of output
+  colors = output.types
+    .map((type) => getColorByType(types[type]))
+    .filter((color) => color);
+  if (colors.length > 0) return colors;
+
+  // Try to get the color based on the type in data
+  color = nodeColors[types[data.type]];
+  if (color) return [color];
+
+  // Default to unknown color
+  return [nodeColors.unknown];
+}
diff --git a/src/frontend/src/CustomNodes/hooks/use-check-code-validity.tsx b/src/frontend/src/CustomNodes/hooks/use-check-code-validity.tsx
new file mode 100644
index 00000000000..bcad57ecae5
--- /dev/null
+++ b/src/frontend/src/CustomNodes/hooks/use-check-code-validity.tsx
@@ -0,0 +1,41 @@
+import { useEffect } from "react";
+import { NATIVE_CATEGORIES } from "../../constants/constants";
+import { NodeDataType } from "../../types/flow";
+
+const useCheckCodeValidity = (
+  data: NodeDataType,
+  templates: { [key: string]: any },
+  setIsOutdated: (value: boolean) => void,
+  setIsUserEdited: (value: boolean) => void,
+  types,
+) => {
+  useEffect(() => {
+    // This one should run only once
+    // first check if data.type in NATIVE_CATEGORIES
+    // if not return
+    if (
+      !NATIVE_CATEGORIES.includes(types[data.type]) ||
+      !data.node?.template?.code?.value
+    )
+      return;
+    const thisNodeTemplate = templates[data.type].template;
+    // if the template does not have a code key
+    // return
+    if (!thisNodeTemplate.code) return;
+    const currentCode = thisNodeTemplate.code?.value;
+    const thisNodesCode = data.node!.template?.code?.value;
+    const componentsToIgnore = ["CustomComponent"];
+    setIsOutdated(
+      currentCode !== thisNodesCode && !componentsToIgnore.includes(data.type),
+    );
+    setIsUserEdited(data.node?.edited ?? false);
+    // template.code can be undefined
+  }, [
+    data.node?.template?.code?.value,
+    templates,
+    setIsOutdated,
+    setIsUserEdited,
+  ]);
+};
+
+export default useCheckCodeValidity;
diff --git a/src/frontend/src/CustomNodes/hooks/use-fetch-data-on-mount.tsx b/src/frontend/src/CustomNodes/hooks/use-fetch-data-on-mount.tsx
new file mode 100644
index 00000000000..5802863b05d
--- /dev/null
+++ b/src/frontend/src/CustomNodes/hooks/use-fetch-data-on-mount.tsx
@@ -0,0 +1,58 @@
+import { cloneDeep } from "lodash";
+import { useEffect } from "react";
+import {
+  ERROR_UPDATING_COMPONENT,
+  TITLE_ERROR_UPDATING_COMPONENT,
+} from "../../constants/constants";
+import useAlertStore from "../../stores/alertStore";
+import { ResponseErrorDetailAPI } from "../../types/api";
+
+const useFetchDataOnMount = (
+  data,
+  name,
+  handleUpdateValues,
+  setNode,
+  setIsLoading,
+) => {
+  const setErrorData = useAlertStore((state) => state.setErrorData);
+
+  useEffect(() => {
+    async function fetchData() {
+      if (
+        (data.node?.template[name]?.real_time_refresh ||
+          data.node?.template[name]?.refresh_button) &&
+        // options can be undefined but not an empty array
+        (data.node?.template[name]?.options?.length ?? 0) === 0
+      ) {
+        setIsLoading(true);
+        try {
+          let newTemplate = await handleUpdateValues(name, data);
+
+          if (newTemplate) {
+            setNode(data.id, (oldNode) => {
+              let newNode = cloneDeep(oldNode);
+              newNode.data = {
+                ...newNode.data,
+              };
+              newNode.data.node.template = newTemplate;
+              return newNode;
+            });
+          }
+        } catch (error) {
+          let responseError = error as ResponseErrorDetailAPI;
+
+          setErrorData({
+            title: TITLE_ERROR_UPDATING_COMPONENT,
+            list: [
+              responseError?.response?.data?.detail ?? ERROR_UPDATING_COMPONENT,
+            ],
+          });
+        }
+        setIsLoading(false);
+      }
+    }
+    fetchData();
+  }, []); // Empty dependency array ensures that this effect runs only once, on mount
+};
+
+export default useFetchDataOnMount;
diff --git a/src/frontend/src/CustomNodes/hooks/use-handle-new-value.tsx b/src/frontend/src/CustomNodes/hooks/use-handle-new-value.tsx
new file mode 100644
index 00000000000..b9690e27001
--- /dev/null
+++ b/src/frontend/src/CustomNodes/hooks/use-handle-new-value.tsx
@@ -0,0 +1,78 @@
+import { cloneDeep } from "lodash";
+import {
+  ERROR_UPDATING_COMPONENT,
+  TITLE_ERROR_UPDATING_COMPONENT,
+} from "../../constants/constants";
+import useAlertStore from "../../stores/alertStore";
+import { ResponseErrorTypeAPI } from "../../types/api";
+
+const useHandleOnNewValue = (
+  data,
+  name,
+  takeSnapshot,
+  handleUpdateValues,
+  debouncedHandleUpdateValues,
+  setNode,
+  setIsLoading,
+) => {
+  const setErrorData = useAlertStore((state) => state.setErrorData);
+
+  const handleOnNewValue = async (newValue, skipSnapshot = false) => {
+    const nodeTemplate = data.node!.template[name];
+    const currentValue = nodeTemplate.value;
+
+    if (currentValue !== newValue && !skipSnapshot) {
+      takeSnapshot();
+    }
+
+    const shouldUpdate =
+      data.node?.template[name].real_time_refresh &&
+      !data.node?.template[name].refresh_button &&
+      currentValue !== newValue;
+
+    const typeToDebounce = nodeTemplate.type;
+
+    nodeTemplate.value = newValue;
+
+    let newTemplate;
+    if (shouldUpdate) {
+      setIsLoading(true);
+      try {
+        if (["int"].includes(typeToDebounce)) {
+          newTemplate = await handleUpdateValues(name, data);
+        } else {
+          newTemplate = await debouncedHandleUpdateValues(name, data);
+        }
+      } catch (error) {
+        let responseError = error as ResponseErrorTypeAPI;
+        setErrorData({
+          title: TITLE_ERROR_UPDATING_COMPONENT,
+          list: [
+            responseError?.response?.data?.detail.error ??
+              ERROR_UPDATING_COMPONENT,
+          ],
+        });
+      }
+      setIsLoading(false);
+    }
+
+    setNode(data.id, (oldNode) => {
+      const newNode = cloneDeep(oldNode);
+      newNode.data = {
+        ...newNode.data,
+      };
+
+      if (data.node?.template[name].real_time_refresh && newTemplate) {
+        newNode.data.node.template = newTemplate;
+      } else {
+        newNode.data.node.template[name].value = newValue;
+      }
+
+      return newNode;
+    });
+  };
+
+  return { handleOnNewValue };
+};
+
+export default useHandleOnNewValue;
diff --git a/src/frontend/src/CustomNodes/hooks/use-handle-node-class.tsx b/src/frontend/src/CustomNodes/hooks/use-handle-node-class.tsx
new file mode 100644
index 00000000000..933f836a4b0
--- /dev/null
+++ b/src/frontend/src/CustomNodes/hooks/use-handle-node-class.tsx
@@ -0,0 +1,39 @@
+import { cloneDeep } from "lodash";
+
+const useHandleNodeClass = (
+  data,
+  name,
+  takeSnapshot,
+  setNode,
+  updateNodeInternals,
+) => {
+  const handleNodeClass = (newNodeClass, code, type?: string) => {
+    if (!data.node) return;
+    if (data.node!.template[name].value !== code) {
+      takeSnapshot();
+    }
+
+    setNode(data.id, (oldNode) => {
+      let newNode = cloneDeep(oldNode);
+
+      newNode.data = {
+        ...newNode.data,
+        node: newNodeClass,
+        description: newNodeClass.description ?? data.node!.description,
+        display_name: newNodeClass.display_name ?? data.node!.display_name,
+      };
+      if (type) {
+        newNode.data.node.template[name].type = type;
+      }
+      newNode.data.node.template[name].value = code;
+
+      return newNode;
+    });
+
+    updateNodeInternals(data.id);
+  };
+
+  return { handleNodeClass };
+};
+
+export default useHandleNodeClass;
diff --git a/src/frontend/src/CustomNodes/hooks/use-handle-refresh-buttons.tsx b/src/frontend/src/CustomNodes/hooks/use-handle-refresh-buttons.tsx
new file mode 100644
index 00000000000..e2ecb3f4693
--- /dev/null
+++ b/src/frontend/src/CustomNodes/hooks/use-handle-refresh-buttons.tsx
@@ -0,0 +1,44 @@
+import { cloneDeep } from "lodash";
+import {
+  ERROR_UPDATING_COMPONENT,
+  TITLE_ERROR_UPDATING_COMPONENT,
+} from "../../constants/constants";
+import useAlertStore from "../../stores/alertStore";
+import { ResponseErrorDetailAPI } from "../../types/api";
+import { handleUpdateValues } from "../../utils/parameterUtils";
+
+const useHandleRefreshButtonPress = (setIsLoading, setNode) => {
+  const setErrorData = useAlertStore((state) => state.setErrorData);
+
+  const handleRefreshButtonPress = async (name, data) => {
+    setIsLoading(true);
+    try {
+      let newTemplate = await handleUpdateValues(name, data);
+
+      if (newTemplate) {
+        setNode(data.id, (oldNode) => {
+          let newNode = cloneDeep(oldNode);
+          newNode.data = {
+            ...newNode.data,
+          };
+          newNode.data.node.template = newTemplate;
+          return newNode;
+        });
+      }
+    } catch (error) {
+      let responseError = error as ResponseErrorDetailAPI;
+
+      setErrorData({
+        title: TITLE_ERROR_UPDATING_COMPONENT,
+        list: [
+          responseError?.response?.data?.detail ?? ERROR_UPDATING_COMPONENT,
+        ],
+      });
+    }
+    setIsLoading(false);
+  };
+
+  return { handleRefreshButtonPress };
+};
+
+export default useHandleRefreshButtonPress;
diff --git a/src/frontend/src/CustomNodes/hooks/use-icon-render.tsx b/src/frontend/src/CustomNodes/hooks/use-icon-render.tsx
new file mode 100644
index 00000000000..181b4f515c7
--- /dev/null
+++ b/src/frontend/src/CustomNodes/hooks/use-icon-render.tsx
@@ -0,0 +1,45 @@
+import { useCallback } from "react";
+import { NodeDataType } from "../../types/flow";
+
+const useIconNodeRender = (
+  data: NodeDataType,
+  types: { [key: string]: string },
+  nodeColors: { [key: string]: string },
+  name: string,
+  showNode: boolean,
+  isEmoji: boolean,
+  nodeIconFragment: (iconElement: string) => JSX.Element,
+  checkNodeIconFragment: (
+    iconColor: string,
+    iconName: string,
+    iconClassName: string,
+  ) => JSX.Element,
+) => {
+  const iconNodeRender = useCallback(() => {
+    const iconElement = data?.node?.icon;
+    const iconColor = nodeColors[types[data.type]];
+    const iconName =
+      iconElement || (data.node?.flow ? "group_components" : name);
+    const iconClassName = `generic-node-icon ${
+      !showNode ? " absolute inset-x-6 h-12 w-12 " : ""
+    }`;
+    if (iconElement && isEmoji) {
+      return nodeIconFragment(iconElement);
+    } else {
+      return checkNodeIconFragment(iconColor, iconName, iconClassName);
+    }
+  }, [
+    data,
+    types,
+    nodeColors,
+    name,
+    showNode,
+    isEmoji,
+    nodeIconFragment,
+    checkNodeIconFragment,
+  ]);
+
+  return iconNodeRender;
+};
+
+export default useIconNodeRender;
diff --git a/src/frontend/src/CustomNodes/hooks/use-icons-status.tsx b/src/frontend/src/CustomNodes/hooks/use-icons-status.tsx
new file mode 100644
index 00000000000..155592b7833
--- /dev/null
+++ b/src/frontend/src/CustomNodes/hooks/use-icons-status.tsx
@@ -0,0 +1,48 @@
+import ForwardedIconComponent from "../../components/genericIconComponent";
+import Checkmark from "../../components/ui/checkmark";
+import Loading from "../../components/ui/loading";
+import Xmark from "../../components/ui/xmark";
+import { BuildStatus } from "../../constants/enums";
+import { VertexBuildTypeAPI } from "../../types/api";
+
+const useIconStatus = (
+  buildStatus: BuildStatus | undefined,
+  validationStatus: VertexBuildTypeAPI | null,
+) => {
+  const conditionSuccess = validationStatus && validationStatus.valid;
+  const conditionError = buildStatus === BuildStatus.ERROR;
+  const conditionInactive = buildStatus === BuildStatus.INACTIVE;
+
+  const renderIconStatus = () => {
+    if (buildStatus === BuildStatus.BUILDING) {
+      return <Loading className="mr-1 text-medium-indigo" size={20} />;
+    } else {
+      return (
+        <>
+          {conditionSuccess ? (
+            <Checkmark
+              className="h-6 w-6 stroke-2 text-status-green transition-all"
+              isVisible={true}
+            />
+          ) : conditionError ? (
+            <Xmark
+              isVisible={true}
+              className="h-6 w-6 fill-current stroke-2 text-status-red"
+            />
+          ) : conditionInactive ? (
+            <ForwardedIconComponent
+              name="CircleOff"
+              className="h-5 w-5 text-muted-foreground"
+            />
+          ) : (
+            <></>
+          )}
+        </>
+      );
+    }
+  };
+
+  return renderIconStatus();
+};
+
+export default useIconStatus;
diff --git a/src/frontend/src/CustomNodes/hooks/use-update-node-code.tsx b/src/frontend/src/CustomNodes/hooks/use-update-node-code.tsx
new file mode 100644
index 00000000000..1e8e79a1f20
--- /dev/null
+++ b/src/frontend/src/CustomNodes/hooks/use-update-node-code.tsx
@@ -0,0 +1,44 @@
+import { cloneDeep } from "lodash"; // or any other deep cloning library you prefer
+import { useCallback } from "react";
+import { APIClassType } from "../../types/api";
+
+const useUpdateNodeCode = (
+  dataId: string,
+  dataNode: APIClassType, // Define YourNodeType according to your data structure
+  setNode: (id: string, callback: (oldNode) => any) => void,
+  setIsOutdated: (value: boolean) => void,
+  setIsUserEdited: (value: boolean) => void,
+  updateNodeInternals: (id: string) => void,
+) => {
+  const updateNodeCode = useCallback(
+    (newNodeClass: APIClassType, code: string, name: string, type: string) => {
+      setNode(dataId, (oldNode) => {
+        let newNode = cloneDeep(oldNode);
+
+        newNode.data = {
+          ...newNode.data,
+          node: newNodeClass,
+          description: newNodeClass.description ?? dataNode.description,
+          display_name: newNodeClass.display_name ?? dataNode.display_name,
+          edited: false,
+        };
+        if (type) {
+          newNode.data.type = type;
+        }
+
+        newNode.data.node.template[name].value = code;
+        setIsOutdated(false);
+        setIsUserEdited(false);
+
+        return newNode;
+      });
+
+      updateNodeInternals(dataId);
+    },
+    [dataId, dataNode, setNode, setIsOutdated, updateNodeInternals],
+  );
+
+  return updateNodeCode;
+};
+
+export default useUpdateNodeCode;
diff --git a/src/frontend/src/CustomNodes/hooks/use-update-validation-status.tsx b/src/frontend/src/CustomNodes/hooks/use-update-validation-status.tsx
new file mode 100644
index 00000000000..2a7153dfb82
--- /dev/null
+++ b/src/frontend/src/CustomNodes/hooks/use-update-validation-status.tsx
@@ -0,0 +1,18 @@
+import { useEffect } from "react";
+
+const useUpdateValidationStatus = (dataId, flowPool, setValidationStatus) => {
+  useEffect(() => {
+    const relevantData =
+      flowPool[dataId] && flowPool[dataId]?.length > 0
+        ? flowPool[dataId][flowPool[dataId].length - 1]
+        : null;
+    if (relevantData) {
+      // Extract validation information from relevantData and update the validationStatus state
+      setValidationStatus(relevantData);
+    } else {
+      setValidationStatus(null);
+    }
+  }, [flowPool[dataId], dataId, setValidationStatus]);
+};
+
+export default useUpdateValidationStatus;
diff --git a/src/frontend/src/CustomNodes/hooks/use-validation-status-string.tsx b/src/frontend/src/CustomNodes/hooks/use-validation-status-string.tsx
new file mode 100644
index 00000000000..31929eb9936
--- /dev/null
+++ b/src/frontend/src/CustomNodes/hooks/use-validation-status-string.tsx
@@ -0,0 +1,23 @@
+import { useEffect } from "react";
+import { VertexBuildTypeAPI } from "../../types/api";
+import { isErrorLog } from "../../types/utils/typeCheckingUtils";
+
+const useValidationStatusString = (
+  validationStatus: VertexBuildTypeAPI | null,
+  setValidationString,
+) => {
+  useEffect(() => {
+    if (validationStatus && validationStatus.data?.outputs) {
+      // if it is not a string turn it into a string
+      let newValidationString = "";
+      Object.values(validationStatus?.data?.outputs).forEach((output: any) => {
+        if (isErrorLog(output)) {
+          newValidationString += `${output.message.errorMessage}\n`;
+        }
+      });
+      setValidationString(newValidationString);
+    }
+  }, [validationStatus, validationStatus?.data?.outputs, setValidationString]);
+};
+
+export default useValidationStatusString;
diff --git a/src/frontend/src/CustomNodes/utils/get-field-title.tsx b/src/frontend/src/CustomNodes/utils/get-field-title.tsx
new file mode 100644
index 00000000000..e448c4f0172
--- /dev/null
+++ b/src/frontend/src/CustomNodes/utils/get-field-title.tsx
@@ -0,0 +1,10 @@
+import { APITemplateType } from "../../types/api";
+
+export default function getFieldTitle(
+  template: APITemplateType,
+  templateField: string,
+): string {
+  return template[templateField].display_name
+    ? template[templateField].display_name!
+    : template[templateField].name ?? templateField;
+}
diff --git a/src/frontend/src/CustomNodes/utils/sort-fields.tsx b/src/frontend/src/CustomNodes/utils/sort-fields.tsx
new file mode 100644
index 00000000000..b432d57ed80
--- /dev/null
+++ b/src/frontend/src/CustomNodes/utils/sort-fields.tsx
@@ -0,0 +1,40 @@
+import { priorityFields } from "../../constants/constants";
+
+export default function sortFields(a, b, fieldOrder) {
+  // Early return for empty fields
+  if (!a && !b) return 0;
+  if (!a) return 1;
+  if (!b) return -1;
+
+  // Normalize the case to ensure case-insensitive comparison
+  const normalizedFieldA = a.toLowerCase();
+  const normalizedFieldB = b.toLowerCase();
+
+  const aIsPriority = priorityFields.has(normalizedFieldA);
+  const bIsPriority = priorityFields.has(normalizedFieldB);
+
+  // Sort by priority
+  if (aIsPriority && !bIsPriority) return -1;
+  if (!aIsPriority && bIsPriority) return 1;
+
+  // Check if either field is in the fieldOrder array
+  const indexOfA = fieldOrder.indexOf(normalizedFieldA);
+  const indexOfB = fieldOrder.indexOf(normalizedFieldB);
+
+  // If both fields are in fieldOrder, sort by their order in the array
+  if (indexOfA !== -1 && indexOfB !== -1) {
+    return indexOfA - indexOfB;
+  }
+
+  // If only one of the fields is in fieldOrder, that field comes first
+  if (indexOfA !== -1) {
+    return -1;
+  }
+  if (indexOfB !== -1) {
+    return 1;
+  }
+
+  // Default case for fields not in priorityFields and not found in fieldOrder
+  // You might want to sort them alphabetically or in another specific manner
+  return a.localeCompare(b);
+}
diff --git a/src/frontend/src/alerts/alertDropDown/components/singleAlertComponent/index.tsx b/src/frontend/src/alerts/alertDropDown/components/singleAlertComponent/index.tsx
index 1d74f11a0e4..e3e56217456 100644
--- a/src/frontend/src/alerts/alertDropDown/components/singleAlertComponent/index.tsx
+++ b/src/frontend/src/alerts/alertDropDown/components/singleAlertComponent/index.tsx
@@ -13,7 +13,7 @@ export default function SingleAlert({
 
   return (
     <Transition
-      className="relative"
+      className="nocopy nowheel nopan nodelete nodrag noundo relative"
       show={show}
       appear={true}
       enter="transition-transform duration-500 ease-out"
@@ -80,10 +80,10 @@ export default function SingleAlert({
           className="mx-2 mb-2 flex rounded-md bg-info-background p-3"
           key={dropItem.id}
         >
-          <div className="flex-shrink-0">
+          <div className="flex-shrink-0 cursor-help">
             <IconComponent
               name="Info"
-              className="h-5 w-5 text-status-blue "
+              className="h-5 w-5 text-status-blue"
               aria-hidden="true"
             />
           </div>
diff --git a/src/frontend/src/alerts/alertDropDown/index.tsx b/src/frontend/src/alerts/alertDropDown/index.tsx
index 967d821746b..48c51088db6 100644
--- a/src/frontend/src/alerts/alertDropDown/index.tsx
+++ b/src/frontend/src/alerts/alertDropDown/index.tsx
@@ -1,3 +1,4 @@
+import { Cross2Icon } from "@radix-ui/react-icons";
 import { useState } from "react";
 import IconComponent from "../../components/genericIconComponent";
 import {
@@ -5,6 +6,7 @@ import {
   PopoverContent,
   PopoverTrigger,
 } from "../../components/ui/popover";
+import { ZERO_NOTIFICATIONS } from "../../constants/constants";
 import useAlertStore from "../../stores/alertStore";
 import { AlertDropdownType } from "../../types/alerts";
 import SingleAlert from "./components/singleAlertComponent";
@@ -14,13 +16,13 @@ export default function AlertDropdown({
 }: AlertDropdownType): JSX.Element {
   const notificationList = useAlertStore((state) => state.notificationList);
   const clearNotificationList = useAlertStore(
-    (state) => state.clearNotificationList
+    (state) => state.clearNotificationList,
   );
   const removeFromNotificationList = useAlertStore(
-    (state) => state.removeFromNotificationList
+    (state) => state.removeFromNotificationList,
   );
   const setNotificationCenter = useAlertStore(
-    (state) => state.setNotificationCenter
+    (state) => state.setNotificationCenter,
   );
 
   const [open, setOpen] = useState(false);
@@ -34,10 +36,10 @@ export default function AlertDropdown({
       }}
     >
       <PopoverTrigger>{children}</PopoverTrigger>
-      <PopoverContent className="nocopy nopan nodelete nodrag noundo flex h-[500px] w-[500px] flex-col">
+      <PopoverContent className="nocopy nowheel nopan nodelete nodrag noundo flex h-[500px] w-[500px] flex-col">
         <div className="text-md flex flex-row justify-between pl-3 font-medium text-foreground">
           Notifications
-          <div className="flex gap-3 pr-3 ">
+          <div className="flex gap-3 pr-3">
             <button
               className="text-foreground hover:text-status-red"
               onClick={() => {
@@ -45,15 +47,15 @@ export default function AlertDropdown({
                 setTimeout(clearNotificationList, 100);
               }}
             >
-              <IconComponent name="Trash2" className="h-[1.1rem] w-[1.1rem]" />
+              <IconComponent name="Trash2" className="h-4 w-4" />
             </button>
             <button
-              className="text-foreground hover:text-status-red"
+              className="text-foreground opacity-70 hover:opacity-100"
               onClick={() => {
                 setOpen(false);
               }}
             >
-              <IconComponent name="X" className="h-5 w-5" />
+              <Cross2Icon className="h-4 w-4" />
             </button>
           </div>
         </div>
@@ -68,7 +70,7 @@ export default function AlertDropdown({
             ))
           ) : (
             <div className="flex h-full w-full items-center justify-center pb-16 text-ring">
-              No new notifications
+              {ZERO_NOTIFICATIONS}
             </div>
           )}
         </div>
diff --git a/src/frontend/src/alerts/displayArea/index.tsx b/src/frontend/src/alerts/displayArea/index.tsx
new file mode 100644
index 00000000000..1d59d9a24d4
--- /dev/null
+++ b/src/frontend/src/alerts/displayArea/index.tsx
@@ -0,0 +1,51 @@
+import useAlertStore from "../../stores/alertStore";
+import ErrorAlert from "../error";
+import NoticeAlert from "../notice";
+import SuccessAlert from "../success";
+
+export default function AlertDisplayArea() {
+  const removeFromTempNotificationList = useAlertStore(
+    (state) => state.removeFromTempNotificationList,
+  );
+  const tempNotificationList = useAlertStore(
+    (state) => state.tempNotificationList,
+  );
+  const removeAlert = (id: string) => {
+    removeFromTempNotificationList(id);
+  };
+
+  return (
+    <div className="flex flex-col-reverse" style={{ zIndex: 999 }}>
+      {tempNotificationList.map((alert) => (
+        <div key={alert.id}>
+          {alert.type === "error" ? (
+            <ErrorAlert
+              key={alert.id}
+              title={alert.title}
+              list={alert.list}
+              id={alert.id}
+              removeAlert={removeAlert}
+            />
+          ) : alert.type === "notice" ? (
+            <NoticeAlert
+              key={alert.id}
+              title={alert.title}
+              link={alert.link}
+              id={alert.id}
+              removeAlert={removeAlert}
+            />
+          ) : (
+            alert.type === "success" && (
+              <SuccessAlert
+                key={alert.id}
+                title={alert.title}
+                id={alert.id}
+                removeAlert={removeAlert}
+              />
+            )
+          )}
+        </div>
+      ))}
+    </div>
+  );
+}
diff --git a/src/frontend/src/alerts/error/index.tsx b/src/frontend/src/alerts/error/index.tsx
index ec23c103ed2..b70a5ae4564 100644
--- a/src/frontend/src/alerts/error/index.tsx
+++ b/src/frontend/src/alerts/error/index.tsx
@@ -40,7 +40,7 @@ export default function ErrorAlert({
             removeAlert(id);
           }, 500);
         }}
-        className="error-build-message nocopy nopan nodelete nodrag noundo"
+        className="error-build-message nocopy nowheel nopan nodelete nodrag noundo"
       >
         <div className="flex">
           <div className="flex-shrink-0">
@@ -51,13 +51,15 @@ export default function ErrorAlert({
             />
           </div>
           <div className="ml-3">
-            <h3 className="error-build-foreground">{title}</h3>
+            <h3 className="error-build-foreground line-clamp-2">{title}</h3>
             {list?.length !== 0 &&
             list?.some((item) => item !== null && item !== undefined) ? (
               <div className="error-build-message-div">
                 <ul className="error-build-message-list">
                   {list.map((item, index) => (
-                    <li key={index}>{item}</li>
+                    <li key={index} className="line-clamp-5">
+                      {item}
+                    </li>
                   ))}
                 </ul>
               </div>
diff --git a/src/frontend/src/alerts/notice/index.tsx b/src/frontend/src/alerts/notice/index.tsx
index faaa4db6a12..49fb527597b 100644
--- a/src/frontend/src/alerts/notice/index.tsx
+++ b/src/frontend/src/alerts/notice/index.tsx
@@ -36,13 +36,13 @@ export default function NoticeAlert({
           setShow(false);
           removeAlert(id);
         }}
-        className="nocopy nopan nodelete nodrag noundo mt-6 w-96 rounded-md bg-info-background p-4 shadow-xl"
+        className="nocopy nowheel nopan nodelete nodrag noundo mt-6 w-96 rounded-md bg-info-background p-4 shadow-xl"
       >
         <div className="flex">
-          <div className="flex-shrink-0">
+          <div className="flex-shrink-0 cursor-help">
             <IconComponent
               name="Info"
-              className="h-5 w-5 text-status-blue "
+              className="h-5 w-5 text-status-blue"
               aria-hidden="true"
             />
           </div>
diff --git a/src/frontend/src/alerts/success/index.tsx b/src/frontend/src/alerts/success/index.tsx
index ec6abf589a8..270ae55151a 100644
--- a/src/frontend/src/alerts/success/index.tsx
+++ b/src/frontend/src/alerts/success/index.tsx
@@ -34,7 +34,7 @@ export default function SuccessAlert({
           setShow(false);
           removeAlert(id);
         }}
-        className="success-alert nocopy nopan nodelete nodrag noundo"
+        className="success-alert nocopy nowheel nopan nodelete nodrag noundo"
       >
         <div className="flex">
           <div className="flex-shrink-0">
@@ -45,7 +45,7 @@ export default function SuccessAlert({
             />
           </div>
           <div className="ml-3">
-            <p className="success-alert-message">{title}</p>
+            <p className="success-alert-message line-clamp-2">{title}</p>
           </div>
         </div>
       </div>
diff --git a/src/frontend/src/assets/Gooey Ring-5s-271px.svg b/src/frontend/src/assets/Gooey Ring-5s-271px.svg
deleted file mode 100644
index 6c343342064..00000000000
--- a/src/frontend/src/assets/Gooey Ring-5s-271px.svg	
+++ /dev/null
@@ -1,40 +0,0 @@
-<?xml version="1.0" encoding="utf-8"?>
-<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" style="margin: auto; background: none; display: block; shape-rendering: auto;" width="271px" height="271px" viewBox="0 0 100 100" preserveAspectRatio="xMidYMid">
-<defs>
-  <filter id="ldio-978hsxudfzl-filter" x="-100%" y="-100%" width="300%" height="300%" color-interpolation-filters="sRGB">
-    <feGaussianBlur in="SourceGraphic" stdDeviation="3.6"></feGaussianBlur>
-    <feComponentTransfer result="cutoff">
-      <feFuncA type="table" tableValues="0 0 0 0 0 0 1 1 1 1 1"></feFuncA>
-    </feComponentTransfer>
-  </filter>
-</defs>
-<g filter="url(#ldio-978hsxudfzl-filter)"><g transform="translate(50 50)">
-<g>
-  <circle cx="8" cy="0" r="5" fill="#2edbb5">
-    <animate attributeName="r" keyTimes="0;0.5;1" values="5.3999999999999995;12.6;5.3999999999999995" dur="5s" repeatCount="indefinite" begin="-0.2s"></animate>
-  </circle>
-  <animateTransform attributeName="transform" type="rotate" keyTimes="0;1" values="0;360" dur="5s" repeatCount="indefinite" begin="0s"></animateTransform>
-</g>
-</g><g transform="translate(50 50)">
-<g>
-  <circle cx="8" cy="0" r="5" fill="#1d99ff">
-    <animate attributeName="r" keyTimes="0;0.5;1" values="5.3999999999999995;12.6;5.3999999999999995" dur="2.5s" repeatCount="indefinite" begin="-0.15000000000000002s"></animate>
-  </circle>
-  <animateTransform attributeName="transform" type="rotate" keyTimes="0;1" values="0;360" dur="2.5s" repeatCount="indefinite" begin="-0.05s"></animateTransform>
-</g>
-</g><g transform="translate(50 50)">
-<g>
-  <circle cx="8" cy="0" r="5" fill="#4f41ff">
-    <animate attributeName="r" keyTimes="0;0.5;1" values="5.3999999999999995;12.6;5.3999999999999995" dur="1.6666666666666665s" repeatCount="indefinite" begin="-0.1s"></animate>
-  </circle>
-  <animateTransform attributeName="transform" type="rotate" keyTimes="0;1" values="0;360" dur="1.6666666666666665s" repeatCount="indefinite" begin="-0.1s"></animateTransform>
-</g>
-</g><g transform="translate(50 50)">
-<g>
-  <circle cx="8" cy="0" r="5" fill="#8400ff">
-    <animate attributeName="r" keyTimes="0;0.5;1" values="5.3999999999999995;12.6;5.3999999999999995" dur="1.25s" repeatCount="indefinite" begin="-0.05s"></animate>
-  </circle>
-  <animateTransform attributeName="transform" type="rotate" keyTimes="0;1" values="0;360" dur="1.25s" repeatCount="indefinite" begin="-0.15000000000000002s"></animateTransform>
-</g>
-</g></g>
-<!-- [ldio] generated by https://loading.io/ --></svg>
\ No newline at end of file
diff --git a/src/frontend/src/assets/froze-flow.png b/src/frontend/src/assets/froze-flow.png
deleted file mode 100644
index 893ce8f85e5..00000000000
Binary files a/src/frontend/src/assets/froze-flow.png and /dev/null differ
diff --git a/src/frontend/src/assets/profile-circle.png b/src/frontend/src/assets/profile-circle.png
new file mode 100644
index 00000000000..e63f97c5956
Binary files /dev/null and b/src/frontend/src/assets/profile-circle.png differ
diff --git a/src/frontend/src/assets/undraw_blog_post_re_fy5x.svg b/src/frontend/src/assets/undraw_blog_post_re_fy5x.svg
new file mode 100644
index 00000000000..96bcbea230c
--- /dev/null
+++ b/src/frontend/src/assets/undraw_blog_post_re_fy5x.svg
@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" data-name="Layer 1" width="631.48281" height="593.94092" viewBox="0 0 631.48281 593.94092" xmlns:xlink="http://www.w3.org/1999/xlink"><path d="M790.35308,612.97046a26,26,0,1,1,26-26A26.02948,26.02948,0,0,1,790.35308,612.97046Z" transform="translate(-284.2586 -153.02954)" fill="#ccc"/><path d="M802.35308,585.97046h-11v-12.5a1,1,0,0,0-2,0v12.5h-11a1,1,0,1,0,0,2h11v12.5a1,1,0,0,0,2,0v-12.5h11a1,1,0,0,0,0-2Z" transform="translate(-284.2586 -153.02954)" fill="#fff"/><polygon points="606.22 581.779 594.788 581.778 589.352 537.682 606.224 537.683 606.22 581.779" fill="#ffb8b8"/><path d="M586.622,578.511h22.04782a0,0,0,0,1,0,0V592.393a0,0,0,0,1,0,0H572.74007a0,0,0,0,1,0,0v0A13.88193,13.88193,0,0,1,586.622,578.511Z" fill="#2f2e41"/><polygon points="560.72 581.779 549.288 581.778 543.852 537.682 560.724 537.683 560.72 581.779" fill="#ffb8b8"/><path d="M541.122,578.511h22.04782a0,0,0,0,1,0,0V592.393a0,0,0,0,1,0,0H527.24007a0,0,0,0,1,0,0v0A13.88193,13.88193,0,0,1,541.122,578.511Z" fill="#2f2e41"/><path d="M899.28547,582.35785a9.377,9.377,0,0,1,1.97614-14.242l-3.54086-21.13341,12.31791-5.28408,4.5812,29.9147a9.42779,9.42779,0,0,1-15.33439,10.74481Z" transform="translate(-284.2586 -153.02954)" fill="#ffb8b8"/><path d="M802.84749,572.37212a9.377,9.377,0,0,0,.40388-14.37279l6.98357-20.25805-11.27569-7.24646-9.46034,28.74681a9.42779,9.42779,0,0,0,13.34858,13.13049Z" transform="translate(-284.2586 -153.02954)" fill="#ffb8b8"/><circle cx="577.1393" cy="245.54228" r="24.56103" fill="#ffb8b8"/><path d="M802.08818,557.21623a4.50221,4.50221,0,0,1-1.24536-.17627l-7.15869-2.05517a4.50764,4.50764,0,0,1-3.08765-5.55127l14.77368-52.16211,20.60206-50.5752c2.04858-5.02783,6.32861-8.32519,11.16992-8.605a11.44643,11.44643,0,0,1,10.77807,6.27686h0a15.62089,15.62089,0,0,1,.35694,13.77051l-23.417,51.21045-18.61621,45.08349A4.49771,4.49771,0,0,1,802.08818,557.21623Z" transform="translate(-284.2586 -153.02954)" fill="#3f3d56"/><path d="M875.258,419.16911l-13.64656.24261a9.07354,9.07354,0,0,1-8.89589-11.58969,21.1284,21.1284,0,0,0,.65552-3.01274,15.22429,15.22429,0,0,0,.08977-3.35353,4.952,4.952,0,0,0-9.55443-1.40837v0c-2.2946.03268-7.18294-.71535-9.47754-.68266-4.87207-12.48981,5.7449-28.83323,17.17381-34.97183,11.65127-6.258,26.77522.1087,31.2414,13.15168,6.19838.11141,11.23461,6.22466,12.0334,13.1063s-2.03239,14.06747-6.36329,19.3418S878.49669,419.11153,875.258,419.16911Z" transform="translate(-284.2586 -153.02954)" fill="#2f2e41"/><path d="M830.4,730.69133a4.51452,4.51452,0,0,1-4.46143-4.00976l-5.06347-170.23536,63.78735,4.54053.04907.41016c14.4148,120.6626,9.48731,162.43164,9.43579,162.83935a4.49829,4.49829,0,0,1-5.07544,4.20264l-14.09667.33789a4.49788,4.49788,0,0,1-3.989-4.2959l-13.17139-123.2998a1.40643,1.40643,0,0,0-1.46606-1.05615,1.46264,1.46264,0,0,0-1.43921,1.17724l-5.08862,123.70361a4.48067,4.48067,0,0,1-4.04126,4.67041l-14.93237.99268A4.45633,4.45633,0,0,1,830.4,730.69133Z" transform="translate(-284.2586 -153.02954)" fill="#2f2e41"/><path d="M856.86846,576.787c-.3816,0-.76246-.00585-1.145-.01757-18.3418-.55225-32.69165-14.4292-36.65259-18.66944a4.47811,4.47811,0,0,1-1.0813-4.09717l10.5813-44.76416-2.80737-38.917a38.36931,38.36931,0,0,1,10.50561-29.6333,31.66353,31.66353,0,0,1,24.38648-9.86572c17.855.85205,31.9414,16.81152,32.0686,36.33252.19751,30.23486-.69263,32.312-.98486,32.99463-8.91089,20.79687-4.04419,49.98926-2.34034,58.4414a4.51639,4.51639,0,0,1-1.33715,4.1875C878.26152,572.07756,867.77178,576.78655,856.86846,576.787Z" transform="translate(-284.2586 -153.02954)" fill="#3f3d56"/><path d="M902.93315,565.40813a4.49659,4.49659,0,0,1-4.38037-3.49414L887.636,514.35686l-14.63061-54.35742a15.62106,15.62106,0,0,1,2.6272-13.52246,11.45551,11.45551,0,0,1,11.6665-4.41016c4.72876,1.07617,8.40527,5.03516,9.595,10.33252l11.95483,53.229,5.96241,53.94092a4.50859,4.50859,0,0,1-3.96265,4.96484l-7.3999.84424A4.48738,4.48738,0,0,1,902.93315,565.40813Z" transform="translate(-284.2586 -153.02954)" fill="#3f3d56"/><path d="M315.0904,570.53683a10.74268,10.74268,0,0,0,1.58187-16.3965l4.16719-93.01794-21.21552,2.38131,1.23255,90.98468a10.80091,10.80091,0,0,0,14.23391,16.04845Z" transform="translate(-284.2586 -153.02954)" fill="#ffb8b8"/><polygon points="69.534 574.966 81.609 577.089 93.543 531.525 77.722 528.392 69.534 574.966" fill="#ffb8b8"/><path d="M350.23234,727.314h38.53073a0,0,0,0,1,0,0v14.88687a0,0,0,0,1,0,0H365.1192A14.88686,14.88686,0,0,1,350.23234,727.314v0A0,0,0,0,1,350.23234,727.314Z" transform="translate(321.93567 1369.36466) rotate(-170.02922)" fill="#2f2e41"/><polygon points="36.392 581.01 48.652 581.01 54.484 533.722 36.39 533.723 36.392 581.01" fill="#ffb8b8"/><path d="M318.02393,730.53638h38.53073a0,0,0,0,1,0,0v14.88687a0,0,0,0,1,0,0H332.91078a14.88686,14.88686,0,0,1-14.88686-14.88686v0a0,0,0,0,1,0,0Z" transform="translate(390.35367 1322.9147) rotate(179.99738)" fill="#2f2e41"/><path d="M372.8035,721.09043a4.74805,4.74805,0,0,1-.57252-.0339l-14.43-1.1874a4.88077,4.88077,0,0,1-4.24251-5.65951l13.32468-74.681-9.00352-47.474a1.62706,1.62706,0,0,0-3.219.15995L343.40488,718.84227a4.92368,4.92368,0,0,1-5.2096,4.43715l-13.59479-.50631a4.88784,4.88784,0,0,1-4.53645-4.631l-.91385-151.76761,70.48116-8.80969,4.9236,76.04058-.01959.0805-16.99071,83.675A4.88583,4.88583,0,0,1,372.8035,721.09043Z" transform="translate(-284.2586 -153.02954)" fill="#2f2e41"/><circle cx="58.12912" cy="223.25508" r="24.56103" fill="#ffb8b8"/><path d="M365.53024,577.46685a20.11,20.11,0,0,1-10.85692-3.10569c-11.89736-7.43585-25.41059-4.48058-32.40686-2.057a4.88012,4.88012,0,0,1-4.22053-.48089,4.81086,4.81086,0,0,1-2.2244-3.55163L303.099,454.64609c-2.132-19.03768,9.33586-36.93669,27.2677-42.55965h0q1.01052-.317,2.05519-.60112a39.56862,39.56862,0,0,1,32.972,5.72253,40.20353,40.20353,0,0,1,17.1668,29.35308L393.27115,560.948a4.80738,4.80738,0,0,1-1.52715,4.0071C387.98953,568.42837,377.09235,577.46579,365.53024,577.46685Z" transform="translate(-284.2586 -153.02954)" fill="#6c63ff"/><path d="M326.78912,479.0123l-28.70337-3.156a5.71747,5.71747,0,0,1-4.90543-7.13382l7.30606-27.84638a15.87852,15.87852,0,0,1,31.55638,3.56327l1.08461,28.67531a5.71749,5.71749,0,0,1-6.33825,5.89758Z" transform="translate(-284.2586 -153.02954)" fill="#6c63ff"/><path d="M393.15631,566.55375a10.74269,10.74269,0,0,0-.40564-16.46764l-7.07293-92.84221-20.78851,4.67965,12.20288,90.41406a10.80091,10.80091,0,0,0,16.0642,14.21614Z" transform="translate(-284.2586 -153.02954)" fill="#ffb8b8"/><path d="M356.91916,473.17592a5.71132,5.71132,0,0,1-1.81845-4.39984l1.08461-28.67531a15.87852,15.87852,0,0,1,31.55638-3.56327l7.30606,27.84638a5.71747,5.71747,0,0,1-4.90543,7.13382l-28.70337,3.156A5.71106,5.71106,0,0,1,356.91916,473.17592Z" transform="translate(-284.2586 -153.02954)" fill="#6c63ff"/><path d="M340.92691,401.771a5.683,5.683,0,0,1-1.29663-.15137l-.12475-.03028c-21.59449-3.30371-26.3667-15.81152-27.41431-21.03515-1.08423-5.4082.15039-10.62842,2.94019-12.65576-1.521-4.80274-1.27686-9.061.72729-12.66211,3.49536-6.28028,11.08106-8.40381,12.09839-8.66358,6.05811-4.46924,13.3064-1.48584,14.62524-.88086,11.71851-4.33545,16.19751-.72656,17.00757.07911,5.23828.94091,8.43115,2.96435,9.49121,6.01562,1.991,5.731-4.30542,12.85986-4.57446,13.16064l-.13965.15577-9.38013.44677a6.358,6.358,0,0,0-5.9812,7.3169h0a29.60406,29.60406,0,0,0,.96045,3.35547c1.602,5.00634,2.80225,9.2832,1.25415,10.90918a2.50966,2.50966,0,0,1-2.62524.45507c-1.46655-.3916-2.4624-.30957-2.9585.24463-.77026.85938-.53515,3.03467.66211,6.12549a5.73888,5.73888,0,0,1-1.0459,5.84717A5.56805,5.56805,0,0,1,340.92691,401.771Z" transform="translate(-284.2586 -153.02954)" fill="#2f2e41"/><path d="M425.2586,746.97046h-140a1,1,0,0,1,0-2h140a1,1,0,1,1,0,2Z" transform="translate(-284.2586 -153.02954)" fill="#ccc"/><path d="M913.2586,746.97046h-140a1,1,0,0,1,0-2h140a1,1,0,1,1,0,2Z" transform="translate(-284.2586 -153.02954)" fill="#ccc"/><path d="M712.97125,577.02954h-242a35.03979,35.03979,0,0,1-35-35v-354a35.03979,35.03979,0,0,1,35-35h242a35.03979,35.03979,0,0,1,35,35v354A35.03979,35.03979,0,0,1,712.97125,577.02954Z" transform="translate(-284.2586 -153.02954)" fill="#fff"/><path d="M674.97161,434.059h-166c-16.957-.08167-17.02751-25.9115.00084-25.99995l165.99916-.00005C691.91667,408.13842,692.0085,433.97026,674.97161,434.059Z" transform="translate(-284.2586 -153.02954)" fill="#ccc"/><path d="M674.97161,226h-166c-16.957-.08168-17.02751-25.91151.00084-25.99995L674.97161,200C691.91667,200.07936,692.0085,225.91121,674.97161,226Z" transform="translate(-284.2586 -153.02954)" fill="#ccc"/><path d="M674.97161,482.059h-166c-16.957-.08167-17.02751-25.9115.00084-25.99995l165.99916-.00005C691.91667,456.13842,692.0085,481.97026,674.97161,482.059Z" transform="translate(-284.2586 -153.02954)" fill="#ccc"/><path d="M674.97161,530.059h-166c-16.957-.08167-17.02751-25.9115.00084-25.99995l165.99916-.00005C691.91667,504.13842,692.0085,529.97026,674.97161,530.059Z" transform="translate(-284.2586 -153.02954)" fill="#ccc"/><path d="M671.97119,376.85885h-160a16.51868,16.51868,0,0,1-16.5-16.5V270.75924a16.51867,16.51867,0,0,1,16.5-16.5h160a16.51866,16.51866,0,0,1,16.5,16.5v89.59961A16.51867,16.51867,0,0,1,671.97119,376.85885Z" transform="translate(-284.2586 -153.02954)" fill="#6c63ff"/><path d="M712.97125,577.02954h-242a35.03979,35.03979,0,0,1-35-35v-354a35.03979,35.03979,0,0,1,35-35h242a35.03979,35.03979,0,0,1,35,35v354A35.03979,35.03979,0,0,1,712.97125,577.02954Zm-242-418a29.03284,29.03284,0,0,0-29,29v354a29.03284,29.03284,0,0,0,29,29h242a29.03276,29.03276,0,0,0,29-29v-354a29.03276,29.03276,0,0,0-29-29Z" transform="translate(-284.2586 -153.02954)" fill="#e6e6e6"/></svg>
\ No newline at end of file
diff --git a/src/frontend/src/assets/undraw_chat_bot_re_e2gj.svg b/src/frontend/src/assets/undraw_chat_bot_re_e2gj.svg
new file mode 100644
index 00000000000..0d7af919562
--- /dev/null
+++ b/src/frontend/src/assets/undraw_chat_bot_re_e2gj.svg
@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" data-name="Layer 1" width="868.9803" height="474.6702" viewBox="0 0 868.9803 474.6702" xmlns:xlink="http://www.w3.org/1999/xlink"><path d="M212.96892,644.94753c-18.51744,15.78973-22.36087,41.687-22.36087,41.687s26.17921.29707,44.69665-15.49269,22.36087-41.687,22.36087-41.687S231.48637,629.15783,212.96892,644.94753Z" transform="translate(-165.50985 -212.6649)" fill="#f2f2f2"/><path d="M221.52563,651.22973c-7.88774,23.02161-30.565,36.10537-30.565,36.10537s-9.88865-24.24161-2.00091-47.26322,30.56494-36.10536,30.56494-36.10536S229.41338,628.20813,221.52563,651.22973Z" transform="translate(-165.50985 -212.6649)" fill="#f2f2f2"/><path d="M414.81075,310.62528c-4.18994-5.429-10.11133-10.45227-10.48633-17.15155-.34375-6.14447,4.2378-12.245,2.30567-18.12342-1.48584-4.51983-6.38721-7.24707-11.17676-8.69128a43.43919,43.43919,0,0,0-27.91553,1.07471l.48486-.34192c-5.45214-1.94214-11.82519.0628-16.11474,3.7763-4.29,3.71344-6.83936,8.86072-8.81738,14.01886-1.97852,5.15815-3.51123,10.505-6.25977,15.34076-2.749,4.83582-6.95752,9.23358-12.51025,10.90485,1.85888,3.70795,7.66992,4.98,11.07812,2.425a14.01368,14.01368,0,0,0,2.33106-2.40985q3.40943-4.146,6.81933-8.29194c2.33887,4.15979-1.15527,9.90113,1.71973,13.7522,1.48242,1.986,4.18994,2.74017,6.70459,3.28113a121.27714,121.27714,0,0,0,59.33105-2.20068c1.5503-.45685,3.26075-1.086,3.90381-2.4892C416.95089,313.8793,415.91231,312.05289,414.81075,310.62528Z" transform="translate(-165.50985 -212.6649)" fill="#2f2e41"/><path d="M470.53815,331.812a10.52739,10.52739,0,0,0-.2393,1.64013l-42.95744,24.782L416.9,352.22322,405.76883,366.7955,423.21917,379.233a8,8,0,0,0,9.59819-.23384l44.29652-34.94583a10.4971,10.4971,0,1,0-6.57573-12.24133Z" transform="translate(-165.50985 -212.6649)" fill="#ffb7b7"/><path d="M425.90529,359.40791l-13.88374,17.994a4.5,4.5,0,0,1-6.80392.37268l-15.71732-16.32121A12.49742,12.49742,0,0,1,404.827,341.7092l19.713,11.02278a4.5,4.5,0,0,1,1.36538,6.67593Z" transform="translate(-165.50985 -212.6649)" fill="#6c63ff"/><polygon points="241.288 460.267 253.548 460.266 259.38 412.978 241.286 412.979 241.288 460.267" fill="#ffb7b7"/><path d="M403.67036,668.92892l24.144-.001h.001a15.3873,15.3873,0,0,1,15.38647,15.38623v.5l-39.53076.00147Z" transform="translate(-165.50985 -212.6649)" fill="#2f2e41"/><polygon points="157.288 460.267 169.548 460.266 175.38 412.978 157.286 412.979 157.288 460.267" fill="#ffb7b7"/><path d="M319.67036,668.92892l24.144-.001h.001a15.3873,15.3873,0,0,1,15.38647,15.38623v.5l-39.53076.00147Z" transform="translate(-165.50985 -212.6649)" fill="#2f2e41"/><circle cx="378.3738" cy="301.62837" r="21.18784" transform="translate(-128.2503 432.16527) rotate(-83.7356)" fill="#ffb7b7"/><path d="M390.77111,333.39136l12.48227,6.18372s13.94651,24.237,5.94651,47.237c-3.8841,11.16678,7.05349,46.763,7.05349,46.763s16.94651,161.237,17,211c-21.05349,3.237-41.05349,7.237-42.05349-2.763s-11.94651-128.237-11.94651-128.237-15.05349,131.237-27.05349,133.237-36-1-36-1,19.05349-192.237,32.05349-204.237l2-10-.05349-89.763,14.97759-7.14766Z" transform="translate(-165.50985 -212.6649)" fill="#2f2e41"/><path d="M346.11823,469.66164a10.74266,10.74266,0,0,0,3.29112-16.1405l14.51672-96.76189-18.96578-.91048-11.31613,96.36138a10.80091,10.80091,0,0,0,12.47407,17.45149Z" transform="translate(-165.50985 -212.6649)" fill="#ffb7b7"/><path d="M363.514,381.00414l-22.68238-1.432a4.5,4.5,0,0,1-4.11751-5.42941l4.72623-22.1603a12.49741,12.49741,0,0,1,24.94035,1.648l1.901,22.50531a4.5,4.5,0,0,1-4.76764,4.86845Z" transform="translate(-165.50985 -212.6649)" fill="#6c63ff"/><path d="M990.39582,289.249H488.80218a13.806,13.806,0,0,0-13.806,13.806V582.53364a13.806,13.806,0,0,0,13.806,13.806H990.39582a13.806,13.806,0,0,0,13.806-13.806V303.055a13.806,13.806,0,0,0-13.806-13.806Z" transform="translate(-165.50985 -212.6649)" fill="#3f3d56"/><rect x="327.99594" y="100.98308" width="492.18639" height="277.64361" fill="#fff"/><circle cx="573.66845" cy="88.36291" r="5.04805" fill="#fff"/><polygon points="679.425 378.627 327.996 378.627 327.996 100.983 679.425 378.627" fill="#f2f2f2" style="isolation:isolate"/><path d="M1018.02127,586.24353H969.987v-3.46086a.68617.68617,0,0,0-.68614-.68619h-16.469a.68618.68618,0,0,0-.68624.68614v3.46091H941.85279v-3.46086a.68618.68618,0,0,0-.68619-.68619H924.69772a.68618.68618,0,0,0-.6862.68619h0v3.46086h-10.293v-3.46086a.68618.68618,0,0,0-.6862-.68619H896.56338a.68618.68618,0,0,0-.6862.68619h0v3.46086h-10.293v-3.46086a.68618.68618,0,0,0-.68619-.68619H868.42909a.68617.68617,0,0,0-.6862.68614v3.46091h-10.293v-3.46086a.68618.68618,0,0,0-.6862-.68619H840.2948a.68618.68618,0,0,0-.6862.68619h0v3.46086H829.31553v-3.46086a.68618.68618,0,0,0-.68619-.68619H812.16046a.68618.68618,0,0,0-.6862.68619h0v3.46086h-10.293v-3.46086a.68618.68618,0,0,0-.6862-.68619H671.48891a.68618.68618,0,0,0-.6862.68619h0v3.46086H660.50964v-3.46086a.68618.68618,0,0,0-.6862-.68619H643.35462a.68618.68618,0,0,0-.6862.68619h0v3.46086H632.37535v-3.46086a.68617.68617,0,0,0-.68615-.68619H615.22028a.68618.68618,0,0,0-.6862.68619h0v3.46086H604.241v-3.46086a.68618.68618,0,0,0-.6862-.68619H587.08594a.68618.68618,0,0,0-.6862.68619h0v3.46086h-10.293v-3.46086a.68618.68618,0,0,0-.6862-.68619H558.95165a.68618.68618,0,0,0-.6862.68619h0v3.46086H547.97238v-3.46086a.68618.68618,0,0,0-.6862-.68619H530.81731a.68619.68619,0,0,0-.6862.68614v3.46091h-10.293v-3.46086a.68618.68618,0,0,0-.68617-.68619H502.683a.6862.6862,0,0,0-.6862.68619h0v3.46086H470.43146a16.46886,16.46886,0,0,0-16.46885,16.46887v7.44683a16.46885,16.46885,0,0,0,16.46885,16.46883h547.58981a16.46888,16.46888,0,0,0,16.46888-16.46883V602.7124A16.46885,16.46885,0,0,0,1018.02127,586.24353Z" transform="translate(-165.50985 -212.6649)" fill="#3f3d56"/><path d="M749.06641,554.88582a12.08948,12.08948,0,0,1-.55394,1.14324,14.6271,14.6271,0,0,1-4.433,4.987,14.56389,14.56389,0,0,1-22.94594-11.9105V546.755h1.99475A50.94173,50.94173,0,0,0,749.06641,554.88582Z" transform="translate(-165.50985 -212.6649)" fill="#3f3d56"/><path d="M777.5304,547.44323v1.66232a14.55908,14.55908,0,0,1-27.34415,6.97014,12.16026,12.16026,0,0,1-.57729-1.17239c.42578.01168.84557.01752,1.27164.01752A51.01779,51.01779,0,0,0,777.5304,547.44323Z" transform="translate(-165.50985 -212.6649)" fill="#3f3d56"/><path d="M797.15156,371.65583c-.43746-.06415-.88061-.105-1.32405-.13414a48.98222,48.98222,0,0,1,.97431,36.57714c.44315-.05247.88061-.12246,1.31807-.20413a18.37443,18.37443,0,0,0-.96833-36.23887Z" transform="translate(-165.50985 -212.6649)" fill="#3f3d56"/><path d="M705.9334,371.52169c-.44344.02915-.88659.07-1.32405.13414a18.37448,18.37448,0,0,0-.96832,36.23887c.43745.08167.87491.15166,1.31806.20413a48.98583,48.98583,0,0,1,.97431-36.57714Z" transform="translate(-165.50985 -212.6649)" fill="#3f3d56"/><path d="M797.15156,371.65583a50.15582,50.15582,0,1,0,3.89068,19.36473A50.22821,50.22821,0,0,0,797.15156,371.65583Zm-.34974,36.443a48.98222,48.98222,0,1,1,3.07387-17.07827A49.06652,49.06652,0,0,1,796.80182,408.09883Z" transform="translate(-165.50985 -212.6649)" fill="#3f3d56"/><path d="M776.5447,379.6467H725.2165a10.20731,10.20731,0,0,0,0,20.41462h51.3282a10.20731,10.20731,0,0,0,0-20.41462Z" transform="translate(-165.50985 -212.6649)" fill="#3f3d56"/><path d="M796.80182,478.18517q-.28025-.51623-.57758-1.01489c-.00569-.01168-.01167-.01752-.01737-.02916a52.4736,52.4736,0,1,0-47.6944,78.88794c.55394.02915,1.11386.04663,1.67378.04663.23354.01168.46081.01168.69435.01168a52.10841,52.10841,0,0,0,26.6498-7.2851A52.84318,52.84318,0,0,0,797.91,526.9003c.00569-.01167.01168-.01751.01737-.02919.17515-.35.34433-.70574.5135-1.06737a52.41937,52.41937,0,0,0-1.639-47.61857Zm.50154,47.29774q-.25376.54251-.52489,1.06741a51.68613,51.68613,0,0,1-19.24807,20.89291,51.01779,51.01779,0,0,1-26.6498,7.47759c-.42607,0-.84586-.00584-1.27164-.01752q-.27128,0-.54255-.01748a51.32636,51.32636,0,1,1,45.97391-77.41807c.0057.01164.01168.01748.01737.02916.20421.33247.40243.67074.58926,1.00905a51.263,51.263,0,0,1,1.65641,46.97695Z" transform="translate(-165.50985 -212.6649)" fill="#3f3d56"/><path d="M791.22568,479.73667A6.06692,6.06692,0,0,0,787.726,478.611H764.78578a6.02524,6.02524,0,1,0,0,12.05048H787.726a5.95878,5.95878,0,0,0,1.21895-.1225,6.61944,6.61944,0,0,0,1.16655-.36747,6.02282,6.02282,0,0,0,1.11415-10.43479Z" transform="translate(-165.50985 -212.6649)" fill="#3f3d56"/><circle cx="600.80328" cy="271.97097" r="3.05895" fill="#f1f1f1"/><circle cx="610.74487" cy="271.97097" r="3.05895" fill="#f1f1f1"/><circle cx="620.68647" cy="271.97097" r="3.05895" fill="#6c63ff"/><path d="M901.40674,383.8181c-7.955,4.7708-22.128,10.74873-36.61127,4.60532l-9.36232-3.9713,18.76142-21.03134a89.60221,89.60221,0,1,1,27.21217,20.39732Z" transform="translate(-165.50985 -212.6649)" fill="#fff"/><path d="M901.45553,384.95169c-7.64392,4.4878-22.20508,10.68994-37.05054,4.39209l-10.647-4.51611,19.09448-21.4043a90.60242,90.60242,0,1,1,128.58,6.91406h0a90.19848,90.19848,0,0,1-99.97692,14.61426Zm104.74011-141.24951A88.60227,88.60227,0,1,0,874.93526,362.74906l.60425.6665-18.43115,20.66113L865.186,387.503c14.33753,6.082,28.52527-.23584,35.70643-4.54248l.46423-.27881.48706.23682a88.6021,88.6021,0,0,0,104.35193-139.21631Z" transform="translate(-165.50985 -212.6649)" fill="#6c63ff"/><path d="M1016.20873,302.66717a82.46016,82.46016,0,0,0-75.16848-82.13206c2.40185-.2104,4.83137-.32424,7.28779-.32424a82.4563,82.4563,0,0,1,0,164.91257c-2.45272,0-4.87807-.11531-7.27628-.32526A82.4602,82.4602,0,0,0,1016.20873,302.66717Z" transform="translate(-165.50985 -212.6649)" opacity="0.1" style="isolation:isolate"/><rect x="727.77166" y="73.55937" width="58.91966" height="5.47153" fill="#6c63ff"/><rect x="727.77166" y="92.48718" width="102.69201" height="5.47153" fill="#6c63ff"/><rect x="727.77166" y="111.41497" width="102.59147" height="5.47153" fill="#6c63ff"/><path d="M547.50985,685.85892h-381a1,1,0,0,1,0-2h381a1,1,0,0,1,0,2Z" transform="translate(-165.50985 -212.6649)" fill="#cbcbcb"/><path d="M400.58028,287.85538c-.82568-3.74536-3.50732-6.84851-6.59668-9.12116a27.0167,27.0167,0,0,0-34.53711,2.10022,17.64907,17.64907,0,0,0-5.334,8.5492,10.48615,10.48615,0,0,0,2.23486,9.54809l.42334.26514c-.38379-1.628.88086-3.25476,2.3916-3.973a19.10971,19.10971,0,0,1,4.87842-1.09381,17.935,17.935,0,0,0,12.15674-8.57837,20.25436,20.25436,0,0,0,11.60742,12.09656c2.80029,1.09509,10.4917,2.601,13.15772,1.21063C404.36348,297.08554,401.406,291.6008,400.58028,287.85538Z" transform="translate(-165.50985 -212.6649)" fill="#2f2e41"/></svg>
\ No newline at end of file
diff --git a/src/frontend/src/assets/undraw_cloud_docs_re_xjht.svg b/src/frontend/src/assets/undraw_cloud_docs_re_xjht.svg
new file mode 100644
index 00000000000..6a002937099
--- /dev/null
+++ b/src/frontend/src/assets/undraw_cloud_docs_re_xjht.svg
@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" data-name="Layer 1" width="854.23578" height="649.46102" viewBox="0 0 854.23578 649.46102" xmlns:xlink="http://www.w3.org/1999/xlink"><path d="M773.85715,625.57712c-75.50269,0-143.73169-52.37891-160.69385-129.07862-15.70312-71.00488,29.28833-141.54687,100.29321-157.25a105.70594,105.70594,0,0,1,126.03833,80.38672,84.86141,84.86141,0,0,1-64.46118,101.06934,68.36083,68.36083,0,0,1-76.46094-37.92139,1,1,0,1,1,1.8169-.83593,66.34457,66.34457,0,0,0,74.21216,36.80419,82.85908,82.85908,0,0,0,62.94043-98.68457,103.70676,103.70676,0,0,0-123.65406-78.86523,130.03032,130.03032,0,0,0-98.77221,154.86523c19.36084,87.544,106.33252,143.01612,193.87988,123.65528A203.22663,203.22663,0,0,0,945.23874,515.6152a1.00011,1.00011,0,1,1,1.77051.93067A205.22438,205.22438,0,0,1,809.42771,621.67526,164.62266,164.62266,0,0,1,773.85715,625.57712Z" transform="translate(-172.88211 -125.26949)" fill="#e6e6e6"/><path d="M968.43381,400.45847a1.00026,1.00026,0,0,1-.99317-.89356,206.60093,206.60093,0,0,0-3.6853-22.49072C937.63815,258.98044,831.0549,174.96774,710.3237,177.42331a1.0002,1.0002,0,0,1-.04-2A256.719,256.719,0,0,1,965.708,376.64255a208.60288,208.60288,0,0,1,3.72143,22.70947.99979.99979,0,0,1-.88769,1.10059A1.01075,1.01075,0,0,1,968.43381,400.45847Z" transform="translate(-172.88211 -125.26949)" fill="#e6e6e6"/><path d="M416.93063,564.45847a.99983.99983,0,0,1-.97534-.78418,320.26993,320.26993,0,0,1,104.523-312.79883A1.00007,1.00007,0,1,1,521.78,252.394,318.27334,318.27334,0,0,0,417.90793,563.24265a.99918.99918,0,0,1-.9773,1.21582Z" transform="translate(-172.88211 -125.26949)" fill="#e6e6e6"/><path d="M693.30366,286.26949h-156a17.01917,17.01917,0,0,1-17-17v-127a17.01917,17.01917,0,0,1,17-17h156a17.01917,17.01917,0,0,1,17,17v127A17.01917,17.01917,0,0,1,693.30366,286.26949Zm-156-159a15.017,15.017,0,0,0-15,15v127a15.017,15.017,0,0,0,15,15h156a15.017,15.017,0,0,0,15-15v-127a15.017,15.017,0,0,0-15-15Z" transform="translate(-172.88211 -125.26949)" fill="#3f3d56"/><path id="b42f7784-d7aa-4130-a713-c57f7e285794-835" data-name="Path 411" d="M675.57215,163.4075H596.841a2.73088,2.73088,0,0,1-2.77562-2.48906,2.63064,2.63064,0,0,1,2.62678-2.77193l80.14349,0c2.64021,2.32,1.03127,5.261-1.26446,5.261Z" transform="translate(-172.88211 -125.26949)" fill="#ccc"/><path id="fef78de7-8139-4292-a735-dfc1826a946d-836" data-name="Path 412" d="M675.57215,177.21748H596.841a2.73088,2.73088,0,0,1-2.77562-2.48906,2.63064,2.63064,0,0,1,2.62678-2.77193h80.14349c2.64021,2.32,1.03127,5.261-1.26446,5.261Z" transform="translate(-172.88211 -125.26949)" fill="#ccc"/><path id="bc3a1040-a005-4464-8914-0d26e9886da7-837" data-name="Path 413" d="M579.82115,185.08048h-24.028a2.962,2.962,0,0,1-2.959-2.959v-28.355a2.962,2.962,0,0,1,2.959-2.959h24.028a2.963,2.963,0,0,1,2.959,2.959v28.355a2.962,2.962,0,0,1-2.959,2.959Z" transform="translate(-172.88211 -125.26949)" fill="#6c63ff"/><path id="ef5725be-974e-4818-8827-9633ad97864d-838" data-name="Path 414" d="M675.34315,205.49349H555.185a2.73086,2.73086,0,0,1-2.77559-2.48905,2.63061,2.63061,0,0,1,2.62677-2.77194H676.60761c2.64021,2.32,1.03127,5.261-1.26446,5.261Z" transform="translate(-172.88211 -125.26949)" fill="#ccc"/><path id="b6ceb078-02d4-45e5-a259-b4aa725e8656-839" data-name="Path 415" d="M675.34315,219.3075l-120.15819,0a2.73086,2.73086,0,0,1-2.77559-2.48905,2.63061,2.63061,0,0,1,2.62677-2.77194l121.57147,0c2.64021,2.32,1.03127,5.261-1.26446,5.261Z" transform="translate(-172.88211 -125.26949)" fill="#ccc"/><path id="b70683a0-764f-4858-8fd1-ac4cf933a79b-840" data-name="Path 416" d="M675.34315,233.11249H555.185a2.73085,2.73085,0,0,1-2.77559-2.48905,2.63061,2.63061,0,0,1,2.62677-2.77194H676.60761c2.64021,2.32,1.03127,5.261-1.26446,5.261Z" transform="translate(-172.88211 -125.26949)" fill="#ccc"/><path id="ff94e3a1-018f-4284-9dff-97f10413b838-841" data-name="Path 417" d="M675.34315,246.92548H555.185a2.73085,2.73085,0,0,1-2.77559-2.489,2.63061,2.63061,0,0,1,2.62677-2.77194H676.60761c2.64021,2.32,1.03127,5.261-1.26446,5.261Z" transform="translate(-172.88211 -125.26949)" fill="#ccc"/><path id="a482e522-b4bb-4a24-a9c3-635a0ec9eabe-842" data-name="Path 418" d="M675.34315,260.7315H555.185a2.73085,2.73085,0,0,1-2.77559-2.489,2.63061,2.63061,0,0,1,2.62677-2.77194H676.60761c2.64021,2.32,1.03127,5.261-1.26446,5.261Z" transform="translate(-172.88211 -125.26949)" fill="#ccc"/><path d="M1013.80368,517.08054H900.80344a13.3291,13.3291,0,0,1-13.314-13.314V411.77243a13.32909,13.32909,0,0,1,13.314-13.314h113.00024a13.32914,13.32914,0,0,1,13.31421,13.314v91.99414A13.32915,13.32915,0,0,1,1013.80368,517.08054ZM900.80344,400.45847a11.32664,11.32664,0,0,0-11.314,11.314v91.99414a11.32665,11.32665,0,0,0,11.314,11.314h113.00024a11.3267,11.3267,0,0,0,11.31421-11.314V411.77243a11.32669,11.32669,0,0,0-11.31421-11.314Z" transform="translate(-172.88211 -125.26949)" fill="#3f3d56"/><path id="e7b4c438-63a5-4348-a2ea-6daf9e8a2e2f-843" data-name="Path 411" d="M1000.95978,427.08413l-57.02975,0a1.97814,1.97814,0,0,1-2.01055-1.803,1.90553,1.90553,0,0,1,1.90273-2.00788H1001.875c1.91246,1.68052.747,3.81085-.91593,3.81085Z" transform="translate(-172.88211 -125.26949)" fill="#ccc"/><path id="a00103cd-61d1-44c3-b135-68efb90ff9bc-844" data-name="Path 412" d="M1000.95978,437.08754H943.93a1.97814,1.97814,0,0,1-2.01055-1.803,1.90552,1.90552,0,0,1,1.90273-2.00787l58.05279,0c1.91246,1.68052.747,3.81086-.91593,3.81086Z" transform="translate(-172.88211 -125.26949)" fill="#ccc"/><path id="f4350b45-c9af-4d8c-9c78-cb2977c503c8-845" data-name="Path 413" d="M931.60153,442.78319H914.1966a2.14555,2.14555,0,0,1-2.14339-2.14339V420.10057a2.14556,2.14556,0,0,1,2.14339-2.1434h17.40493a2.1463,2.1463,0,0,1,2.14339,2.1434v20.53925a2.14555,2.14555,0,0,1-2.14339,2.14339Z" transform="translate(-172.88211 -125.26949)" fill="#6c63ff"/><path id="f5a14ccf-41cd-4d0f-84ee-cd82fbc8c163-846" data-name="Path 414" d="M1000.7939,457.56956l-87.03785,0a1.97814,1.97814,0,0,1-2.01054-1.803,1.90552,1.90552,0,0,1,1.90274-2.00789h88.06157c1.91247,1.68052.747,3.81085-.91592,3.81085Z" transform="translate(-172.88211 -125.26949)" fill="#ccc"/><path id="a4da95c7-64c3-4299-a88e-05bfbb3353e0-847" data-name="Path 415" d="M1000.7939,467.57589l-87.03785,0a1.97814,1.97814,0,0,1-2.01054-1.803,1.90552,1.90552,0,0,1,1.90274-2.00789h88.06157c1.91247,1.68052.747,3.81085-.91592,3.81085Z" transform="translate(-172.88211 -125.26949)" fill="#ccc"/><path id="af1ad797-b30d-429c-a4be-fed0ef064171-848" data-name="Path 416" d="M1000.7939,477.57568H913.75605a1.97814,1.97814,0,0,1-2.01054-1.803,1.90552,1.90552,0,0,1,1.90274-2.00788h88.06157c1.91247,1.68051.747,3.81085-.91592,3.81085Z" transform="translate(-172.88211 -125.26949)" fill="#ccc"/><path id="b13c38b9-0b26-4a00-b050-dd9bdfa2db99-849" data-name="Path 417" d="M1000.7939,487.58126l-87.03785,0a1.97814,1.97814,0,0,1-2.01054-1.803,1.90552,1.90552,0,0,1,1.90274-2.00789h88.06157c1.91247,1.68052.747,3.81085-.91592,3.81085Z" transform="translate(-172.88211 -125.26949)" fill="#ccc"/><path id="ed4b3cd1-8212-4136-9638-47564b0bc4c1-850" data-name="Path 418" d="M1000.7939,497.5818H913.75605a1.97814,1.97814,0,0,1-2.01054-1.803,1.90552,1.90552,0,0,1,1.90274-2.00788h88.06157c1.91247,1.68052.747,3.81085-.91592,3.81085Z" transform="translate(-172.88211 -125.26949)" fill="#ccc"/><path d="M736.12448,483.73825h-71.6416a8.817,8.817,0,0,1-8.80713-8.80713V416.60788a8.817,8.817,0,0,1,8.80713-8.80713h71.6416a8.817,8.817,0,0,1,8.80713,8.80713v58.32324A8.817,8.817,0,0,1,736.12448,483.73825Zm-71.6416-73.9375a6.8149,6.8149,0,0,0-6.80713,6.80713v58.32324a6.8149,6.8149,0,0,0,6.80713,6.80713h71.6416a6.8149,6.8149,0,0,0,6.80713-6.80713V416.60788a6.8149,6.8149,0,0,0-6.80713-6.80713Z" transform="translate(-172.88211 -125.26949)" fill="#3f3d56"/><path d="M724.80366,452.01949h-49a4.5,4.5,0,0,1,0-9h49a4.5,4.5,0,0,1,0,9Z" transform="translate(-172.88211 -125.26949)" fill="#6c63ff"/><path d="M714.80366,433.51949h-29a4.5,4.5,0,0,1,0-9h29a4.5,4.5,0,0,1,0,9Z" transform="translate(-172.88211 -125.26949)" fill="#6c63ff"/><path d="M724.80366,467.01949h-49a4.5,4.5,0,0,1,0-9h49a4.5,4.5,0,0,1,0,9Z" transform="translate(-172.88211 -125.26949)" fill="#6c63ff"/><path d="M299.27944,598.87168a10.05577,10.05577,0,0,1,5.773-14.29782l.73682-35.72725,15.28828,10.5405L318.034,591.69834a10.11027,10.11027,0,0,1-18.75459,7.17334Z" transform="translate(-172.88211 -125.26949)" fill="#a0616a"/><path d="M316.18432,461.30165,301.21969,573.81551l18.015.67923,15.05548-118.11153-3.61333-2.13183A9.66544,9.66544,0,0,0,316.18432,461.30165Z" transform="translate(-172.88211 -125.26949)" fill="#6c63ff"/><polygon points="191.064 637.552 203.323 637.551 209.156 590.263 191.061 590.264 191.064 637.552" fill="#a0616a"/><path d="M361.31874,759.31752h38.53072a0,0,0,0,1,0,0v14.88687a0,0,0,0,1,0,0H376.20562a14.88688,14.88688,0,0,1-14.88688-14.88688v0A0,0,0,0,1,361.31874,759.31752Z" transform="translate(588.32109 1408.23505) rotate(179.99738)" fill="#2f2e41"/><polygon points="89.061 622.9 100.186 628.05 125.346 587.589 108.926 579.988 89.061 622.9" fill="#a0616a"/><path d="M256.12064,751.29193h38.53071a0,0,0,0,1,0,0V766.1788a0,0,0,0,1,0,0H271.00753a14.88689,14.88689,0,0,1-14.88689-14.88689v0A0,0,0,0,1,256.12064,751.29193Z" transform="translate(33.66226 1437.69074) rotate(-155.15884)" fill="#2f2e41"/><path d="M376.79831,752.82956a4.62614,4.62614,0,0,1-.53711-.03174l-9.69946-1.14111a4.52376,4.52376,0,0,1-3.9541-4.042L350.96433,625.4736a1.49986,1.49986,0,0,0-2.8064-.582l-64.781,117.36621a4.48379,4.48379,0,0,1-5.14416,2.16113l-10.89624-3.02685a4.49724,4.49724,0,0,1-3.0647-5.75928c9.48963-28.394,57.03357-170.70019,61.09851-183.79785,4.85706-15.65039,41.11475-21.81738,44.23877-22.32031l1.79468-1.79492.34546.46484c16.00366,21.54346,23.74756,50.07568,21.80542,80.3418l-.001.01123L381.26975,748.72165a4.502,4.502,0,0,1-4.47144,4.10791Z" transform="translate(-172.88211 -125.26949)" fill="#2f2e41"/><circle cx="152.81659" cy="285.84822" r="24.56103" fill="#a0616a"/><path d="M326.95175,548.07175l-14.57361-75.96192a25.74614,25.74614,0,0,1,18.81434-29.72412,22.19944,22.19944,0,0,1,21.96765,6.50195c7.439,8.12061,16.88818,19.938,19.6604,30.124,2.34668,8.646,8.95093,41.04541,9.01733,41.37158l.05249.25732-.18262.18946c-.03491.03613-3.57324,3.69287-9.08081,8.25732-3.23193,2.67871-6.53515,5.16455-9.81836,7.38965-9.21826,6.22461-34.29956,11.28369-35.36279,11.49609Z" transform="translate(-172.88211 -125.26949)" fill="#6c63ff"/><path d="M362.52806,536.06315c3.65967-2.48,6.98-5.04,9.77979-7.36035-1.00977-14.93994-23.02-46.21973-31.93995-46.21973C340.3679,482.48307,338.258,530.693,362.52806,536.06315Z" transform="translate(-172.88211 -125.26949)" opacity="0.2"/><path d="M407.83194,575.30031a10.05578,10.05578,0,0,1-5.277-14.48823l-23.35887-27.04334,18.41436-2.39689,19.35886,26.04829a10.11027,10.11027,0,0,1-9.13733,17.88017Z" transform="translate(-172.88211 -125.26949)" fill="#a0616a"/><path d="M342.526,444.008a16.3224,16.3224,0,0,1,3.02615.34653,12.49537,12.49537,0,0,1,8.91793,7.79987l28.87782,60.3287,31,33-15.5,12.5-49-44-19.576-53.28149A12.75366,12.75366,0,0,1,342.526,444.008Z" transform="translate(-172.88211 -125.26949)" fill="#6c63ff"/><path d="M324.245,435.45264c-3.49562-5.23231-6.25435-12.48756-2.40565-17.46591,3.79907-4.91416,11.29215-4.19018,17.11053-6.36466,8.104-3.02867,12.8041-12.5493,11.33825-21.07564S341.97777,374.952,333.824,372.06s-17.34839-1.95148-25.33312,1.37887c-9.82931,4.0997-18.26115,12.03028-21.79686,22.07625s-1.6456,22.10808,5.68929,29.82963c7.86381,8.27834,20.20556,10.48454,31.62276,10.35067" transform="translate(-172.88211 -125.26949)" fill="#2f2e41"/><path d="M285.67613,406.49292c-1.00062,5.591-7.13392,8.76649-12.77076,9.46443s-11.46786-.197-16.9553,1.269c-9.67415,2.58442-16.05479,11.88813-19.56679,21.26546s-5.06949,19.49826-9.63253,28.41158-13.41056,16.77135-23.38921,15.93771a25.732,25.732,0,0,0,48.39435-1.5693c3.66577-11.31688-.54222-24.81289,5.86843-34.83353,3.54741-5.54506,9.673-8.80673,15.57943-11.71293s12.10571-5.88925,16.0657-11.14761,4.75122-13.56285-.12875-17.98073" transform="translate(-172.88211 -125.26949)" fill="#2f2e41"/><path d="M174.07279,774.73051h320.294a1.19069,1.19069,0,0,0,0-2.38137h-320.294a1.19069,1.19069,0,0,0,0,2.38137Z" transform="translate(-172.88211 -125.26949)" fill="#3f3d56"/><circle cx="264.0495" cy="239.18898" r="14" fill="#e6e6e6"/><circle cx="709.0495" cy="116.18898" r="14" fill="#e6e6e6"/><circle cx="556.0495" cy="494.18898" r="14" fill="#e6e6e6"/></svg>
\ No newline at end of file
diff --git a/src/frontend/src/assets/undraw_design_components_9vy6.svg b/src/frontend/src/assets/undraw_design_components_9vy6.svg
new file mode 100644
index 00000000000..c21e134e9b2
--- /dev/null
+++ b/src/frontend/src/assets/undraw_design_components_9vy6.svg
@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" data-name="Layer 1" width="980" height="489.48047" viewBox="0 0 980 489.48047" xmlns:xlink="http://www.w3.org/1999/xlink"><path d="M317.06006,205.25977a205.979,205.979,0,0,0-77.68457,15.06689c-.99365.40723-1.99121.81641-2.98828,1.23486A206.78061,206.78061,0,0,0,110,412.31982v225.94a9.01016,9.01016,0,0,0,9,9l.17871.01562c173.4668,31.50195,342.106,47.46484,501.37207,47.46484q3.58155,0,7.15625-.01074c156.55469-.47656,308.99414-16.43945,453.083-47.44726l.21-.02246a9.00984,9.00984,0,0,0,9-9v-424a9.01015,9.01015,0,0,0-9-9Z" transform="translate(-110 -205.25977)" fill="#6c63ff"/><path id="f4300551-56ef-4356-8f30-d0080b223343-80" data-name="Path 40" d="M855.79948,385.45241a5.94683,5.94683,0,0,0,0,11.89205H1004.8852a5.94683,5.94683,0,1,0,.19525-11.89205q-.09762-.00165-.19525,0Z" transform="translate(-110 -205.25977)" fill="#3f3d56"/><path d="M1038.69419,383.79676a1.17,1.17,0,0,0,0,1.65472l5.02282,5.02288H1031.3312a1.17005,1.17005,0,1,0,0,2.34011H1043.717l-5.02282,5.02287a1.17005,1.17005,0,1,0,1.65468,1.65473l7.02029-7.02029a1.17011,1.17011,0,0,0,0-1.65473l-7.02029-7.02029A1.17,1.17,0,0,0,1038.69419,383.79676Z" transform="translate(-110 -205.25977)" fill="#fff"/><path d="M821.92744,383.79676a1.17,1.17,0,0,1,0,1.65472l-5.02282,5.02288h12.38581a1.17006,1.17006,0,1,1,0,2.34011H816.90462l5.02282,5.02287a1.17,1.17,0,0,1-1.65467,1.65473l-7.0203-7.02029a1.17011,1.17011,0,0,1,0-1.65473l7.0203-7.02029A1.17,1.17,0,0,1,821.92744,383.79676Z" transform="translate(-110 -205.25977)" fill="#fff"/><g opacity="0.4"><circle cx="751.81992" cy="50.3899" r="6.3899" fill="#fff"/><circle cx="778.44451" cy="50.3899" r="6.3899" fill="#fff"/><circle cx="805.06909" cy="50.3899" r="6.3899" fill="#fff"/><circle cx="831.69368" cy="50.3899" r="6.3899" fill="#fff"/><circle cx="858.31826" cy="50.3899" r="6.3899" fill="#fff"/><circle cx="884.94285" cy="50.3899" r="6.3899" fill="#fff"/><circle cx="911.56744" cy="50.3899" r="6.3899" fill="#fff"/><circle cx="751.81992" cy="70.62459" r="6.3899" fill="#fff"/><circle cx="778.44451" cy="70.62459" r="6.3899" fill="#fff"/><circle cx="805.06909" cy="70.62459" r="6.3899" fill="#fff"/><circle cx="831.69368" cy="70.62459" r="6.3899" fill="#fff"/><circle cx="858.31826" cy="70.62459" r="6.3899" fill="#fff"/><circle cx="884.94285" cy="70.62459" r="6.3899" fill="#fff"/><circle cx="911.56744" cy="70.62459" r="6.3899" fill="#fff"/><circle cx="751.81992" cy="90.85927" r="6.3899" fill="#fff"/><circle cx="778.44451" cy="90.85927" r="6.3899" fill="#fff"/><circle cx="805.06909" cy="90.85927" r="6.3899" fill="#fff"/><circle cx="831.69368" cy="90.85927" r="6.3899" fill="#fff"/><circle cx="858.31826" cy="90.85927" r="6.3899" fill="#fff"/><circle cx="884.94285" cy="90.85927" r="6.3899" fill="#fff"/><circle cx="911.56744" cy="90.85927" r="6.3899" fill="#fff"/><circle cx="751.81992" cy="111.09396" r="6.3899" fill="#fff"/><circle cx="778.44451" cy="111.09396" r="6.3899" fill="#fff"/><circle cx="751.81992" cy="131.32864" r="6.3899" fill="#fff"/><circle cx="778.44451" cy="131.32864" r="6.3899" fill="#fff"/><circle cx="805.06909" cy="131.32864" r="6.3899" fill="#fff"/><circle cx="805.06909" cy="111.09396" r="6.3899" fill="#fff"/><circle cx="831.69368" cy="111.09396" r="6.3899" fill="#fff"/><circle cx="858.31826" cy="111.09396" r="6.3899" fill="#fff"/><circle cx="884.94285" cy="111.09396" r="6.3899" fill="#fff"/><circle cx="911.56744" cy="111.09396" r="6.3899" fill="#fff"/></g><path d="M770.15723,580.71875a35.27246,35.27246,0,1,1,35.27246-35.27246A35.31251,35.31251,0,0,1,770.15723,580.71875Zm0-68.54492a33.27246,33.27246,0,1,0,33.27246,33.27246A33.30991,33.30991,0,0,0,770.15723,512.17383Z" transform="translate(-110 -205.25977)" fill="#3f3d56"/><path d="M783.68058,542.06548H773.53835V531.92315a3.38081,3.38081,0,0,0-6.76162,0v10.14233H756.6344a3.38076,3.38076,0,0,0,0,6.76152h10.14233v10.14233a3.38081,3.38081,0,0,0,6.76162,0V548.827h10.14223a3.38076,3.38076,0,1,0,0-6.76152Z" transform="translate(-110 -205.25977)" fill="#fff"/><g opacity="0.4"><circle cx="54.0239" cy="374.76553" r="5.02391" fill="#fff"/><circle cx="54.0239" cy="353.83257" r="5.02391" fill="#fff"/><circle cx="54.0239" cy="332.89961" r="5.02391" fill="#fff"/><circle cx="54.0239" cy="311.96665" r="5.02391" fill="#fff"/><circle cx="54.0239" cy="291.03369" r="5.02391" fill="#fff"/><circle cx="54.0239" cy="270.10073" r="5.02391" fill="#fff"/><circle cx="54.0239" cy="249.16777" r="5.02391" fill="#fff"/><circle cx="69.93295" cy="374.76553" r="5.02391" fill="#fff"/><circle cx="69.93295" cy="353.83257" r="5.02391" fill="#fff"/><circle cx="69.93295" cy="332.89961" r="5.02391" fill="#fff"/><circle cx="69.93295" cy="311.96665" r="5.02391" fill="#fff"/><circle cx="69.93295" cy="291.03369" r="5.02391" fill="#fff"/><circle cx="69.93295" cy="270.10073" r="5.02391" fill="#fff"/><circle cx="69.93295" cy="249.16777" r="5.02391" fill="#fff"/><circle cx="85.842" cy="374.76553" r="5.02391" fill="#fff"/><circle cx="85.842" cy="353.83257" r="5.02391" fill="#fff"/><circle cx="85.842" cy="332.89961" r="5.02391" fill="#fff"/><circle cx="85.842" cy="311.96665" r="5.02391" fill="#fff"/><circle cx="85.842" cy="291.03369" r="5.02391" fill="#fff"/><circle cx="85.842" cy="270.10073" r="5.02391" fill="#fff"/><circle cx="85.842" cy="249.16777" r="5.02391" fill="#fff"/><circle cx="101.75105" cy="374.76553" r="5.02391" fill="#fff"/><circle cx="101.75105" cy="353.83257" r="5.02391" fill="#fff"/><circle cx="117.6601" cy="374.76553" r="5.02391" fill="#fff"/><circle cx="117.6601" cy="353.83257" r="5.02391" fill="#fff"/><circle cx="117.6601" cy="332.89961" r="5.02391" fill="#fff"/><circle cx="101.75105" cy="332.89961" r="5.02391" fill="#fff"/><circle cx="101.75105" cy="311.96665" r="5.02391" fill="#fff"/><circle cx="101.75105" cy="291.03369" r="5.02391" fill="#fff"/><circle cx="101.75105" cy="270.10073" r="5.02391" fill="#fff"/><circle cx="101.75105" cy="249.16777" r="5.02391" fill="#fff"/></g><path d="M607.40837,238.262H273.66631a6.18856,6.18856,0,0,0-6.1823,6.18237v285.3832a6.18855,6.18855,0,0,0,6.1823,6.18236H607.40837a6.1886,6.1886,0,0,0,6.18237-6.18236V244.44434A6.18861,6.18861,0,0,0,607.40837,238.262Zm3.70479,291.56557a3.71813,3.71813,0,0,1-3.70479,3.71637H273.66631a3.71067,3.71067,0,0,1-3.70472-3.71637V244.44434a3.71067,3.71067,0,0,1,3.70472-3.71637H607.40837a3.71813,3.71813,0,0,1,3.70479,3.71637Z" transform="translate(-110 -205.25977)" fill="#3f3d56"/><path d="M350.70245,485.26609c0,.43995-.01159.87989-.03477,1.30825a25.17464,25.17464,0,0,1-50.28069,0c-.02317-.42836-.03469-.8683-.03469-1.30825a25.17508,25.17508,0,1,1,50.35015,0Z" transform="translate(-110 -205.25977)" fill="#fff"/><path d="M581.475,468.47884H383.66331a4.19682,4.19682,0,0,0,0,8.39363H581.475a4.19682,4.19682,0,0,0,0-8.39363Z" transform="translate(-110 -205.25977)" fill="#3f3d56"/><path d="M468.78046,493.65971H383.66331a4.191,4.191,0,0,0,0,8.382h85.11715a4.191,4.191,0,1,0,0-8.382Z" transform="translate(-110 -205.25977)" fill="#fff"/><path d="M686.69824,438.84082H352.958a8.559,8.559,0,0,1-8.54883-8.5498V283.8291a8.55888,8.55888,0,0,1,8.54883-8.54931H686.69824a8.55888,8.55888,0,0,1,8.54883,8.54931V430.291A8.559,8.559,0,0,1,686.69824,438.84082ZM352.958,278.27979a5.55529,5.55529,0,0,0-5.54883,5.54931V430.291a5.55572,5.55572,0,0,0,5.54883,5.5498H686.69824a5.55572,5.55572,0,0,0,5.54883-5.5498V283.8291a5.55529,5.55529,0,0,0-5.54883-5.54931Z" transform="translate(-110 -205.25977)" fill="#fff"/><path d="M420.9242,328.69922a4.19591,4.19591,0,1,0,0,8.39182H618.73156a4.19591,4.19591,0,1,0,0-8.39182Z" transform="translate(-110 -205.25977)" fill="#fff"/><path d="M420.9242,353.01178a4.19591,4.19591,0,0,0,0,8.39183H618.73156a4.19592,4.19592,0,0,0,0-8.39183Z" transform="translate(-110 -205.25977)" fill="#fff"/><path d="M420.9242,377.02952a4.19591,4.19591,0,0,0,0,8.39183h85.11711a4.19592,4.19592,0,0,0,0-8.39183Z" transform="translate(-110 -205.25977)" fill="#fff"/><path d="M741.72363,500.89258l-33.51977-47.30731,10.85107,2.2611a1.50113,1.50113,0,1,0,.61212-2.9392l-16.17059-3.36628-2.18262,16.37055a1.50115,1.50115,0,1,0,2.976.39642l1.46319-10.99322L739.27637,502.627a1.49976,1.49976,0,1,0,2.44726-1.73437Z" transform="translate(-110 -205.25977)" fill="#fff"/><path d="M559.66593,638.58034H321.40883a4.41735,4.41735,0,0,1-4.41216-4.41216V575.06677a4.41735,4.41735,0,0,1,4.41216-4.41216h238.2571a4.41735,4.41735,0,0,1,4.41216,4.41216v59.10141A4.41735,4.41735,0,0,1,559.66593,638.58034Zm-238.2571-66.16087a2.65019,2.65019,0,0,0-2.6473,2.6473v59.10141a2.65019,2.65019,0,0,0,2.6473,2.64729h238.2571a2.65019,2.65019,0,0,0,2.64729-2.64729V575.06677a2.65019,2.65019,0,0,0-2.64729-2.6473Z" transform="translate(-110 -205.25977)" fill="#3f3d56"/><circle cx="248.42913" cy="397.08997" r="17.97281" fill="#fff"/><path d="M399.93776,590.36787a2.99547,2.99547,0,1,0,0,5.99093H541.15269a2.99546,2.99546,0,1,0,0-5.99093Z" transform="translate(-110 -205.25977)" fill="#fff"/><path d="M399.93776,608.34068a2.99547,2.99547,0,1,0,0,5.99093H460.703a2.99546,2.99546,0,1,0,0-5.99093Z" transform="translate(-110 -205.25977)" fill="#fff"/><path d="M874.0245,428.0156H979.91678a4.41735,4.41735,0,0,1,4.41216,4.41216V542.71023a4.41735,4.41735,0,0,1-4.41216,4.41216H874.0245a4.41736,4.41736,0,0,1-4.41217-4.41216V432.42776A4.41736,4.41736,0,0,1,874.0245,428.0156ZM979.91678,545.35752a2.65019,2.65019,0,0,0,2.6473-2.64729V432.42776a2.6502,2.6502,0,0,0-2.6473-2.6473H874.0245a2.65019,2.65019,0,0,0-2.6473,2.6473V542.71023a2.65019,2.65019,0,0,0,2.6473,2.64729Z" transform="translate(-110 -205.25977)" fill="#3f3d56"/><path d="M957.35324,524.38014a2.99547,2.99547,0,0,0,0-5.99094H896.588a2.99547,2.99547,0,0,0,0,5.99094Z" transform="translate(-110 -205.25977)" fill="#fff"/><path d="M957.35324,506.73149a2.99547,2.99547,0,1,0,0-5.99093H896.588a2.99547,2.99547,0,1,0,0,5.99093Z" transform="translate(-110 -205.25977)" fill="#fff"/><path d="M926.97042,450.75785a18.85509,18.85509,0,1,1-18.85509,18.85509A18.87645,18.87645,0,0,1,926.97042,450.75785Z" transform="translate(-110 -205.25977)" fill="#fff"/></svg>
\ No newline at end of file
diff --git a/src/frontend/src/assets/undraw_mobile_messages_re_yx8w.svg b/src/frontend/src/assets/undraw_mobile_messages_re_yx8w.svg
new file mode 100644
index 00000000000..f232003d23c
--- /dev/null
+++ b/src/frontend/src/assets/undraw_mobile_messages_re_yx8w.svg
@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" data-name="Layer 1" width="830.56679" height="711.72746" viewBox="0 0 830.56679 711.72746" xmlns:xlink="http://www.w3.org/1999/xlink"><polygon points="68.348 169.893 455 169.893 455 296.824 440.354 296.824 440.354 330.021 407.157 296.824 68.348 296.824 68.348 169.893" fill="#e6e6e6"/><rect x="79.08798" y="182.25349" width="365.17166" height="101.54506" fill="#fff"/><rect x="108.45338" y="211.90022" width="175.82079" height="5.33572" fill="#6c63ff"/><rect x="108.45338" y="230.35817" width="306.44088" height="5.33572" fill="#e6e6e6"/><rect x="108.45338" y="248.81612" width="306.1408" height="5.33572" fill="#e6e6e6"/><polygon points="386.652 339.785 0 339.785 0 466.717 14.646 466.717 14.646 499.914 47.843 466.717 386.652 466.717 386.652 339.785" fill="#e6e6e6"/><rect x="10.74034" y="352.14621" width="365.17165" height="101.54507" fill="#fff"/><rect x="43.03493" y="382.76932" width="175.8208" height="5.33572" fill="#6c63ff"/><rect x="43.03493" y="401.22726" width="306.4409" height="5.33572" fill="#e6e6e6"/><rect x="43.03493" y="419.68521" width="306.14082" height="5.33572" fill="#e6e6e6"/><polygon points="386.652 0 0 0 0 126.931 14.646 126.931 14.646 160.129 47.843 126.931 386.652 126.931 386.652 0" fill="#e6e6e6"/><rect x="10.74034" y="12.36079" width="365.17165" height="101.54506" fill="#fff"/><rect x="43.03493" y="42.98392" width="175.8208" height="5.33572" fill="#6c63ff"/><rect x="43.03493" y="61.44186" width="306.4409" height="5.33572" fill="#e6e6e6"/><rect x="43.03493" y="79.8998" width="306.14082" height="5.33572" fill="#e6e6e6"/><polygon points="679.314 695.51 663.401 695.509 655.83 634.126 679.317 634.128 679.314 695.51" fill="#ffb8b8"/><path d="M868.08957,805.072l-51.31317-.00191v-.649a19.97358,19.97358,0,0,1,19.97252-19.9722h.00126l31.34034.00127Z" transform="translate(-184.71661 -94.13627)" fill="#2f2e41"/><polygon points="656.939 649.359 642.131 655.186 612.608 600.84 634.464 592.24 656.939 649.359" fill="#ffb8b8"/><path d="M851.08138,756.36359l-47.74953,18.7889-.23767-.60394a19.97357,19.97357,0,0,1,11.27144-25.89874l.00118-.00047,29.16382-11.47552Z" transform="translate(-184.71661 -94.13627)" fill="#2f2e41"/><path d="M836.8057,769.70088l5.06736-186.22422-22.54834,79.833,16.29194,55.393-27.0288,22.97459L781.03553,653.772l-.0488-.15465L808.37141,508.8701l80.99068-3.91825.57931-.02916.09285.573c.078.48171,7.73193,48.54149,1.29553,83.29746C884.9184,623.416,869.4257,770.28906,869.2701,771.76965l-.06655.63128Z" transform="translate(-184.71661 -94.13627)" fill="#2f2e41"/><path d="M812.567,520.48036l-.4573-.18254,15.03-137.88428.43861-.10965c15.275-3.81938,35.85564-3.48536,46.76457-2.94725a7.20471,7.20471,0,0,1,6.74793,6.09225l18.0698,119.01239-.149.213c-12.49252,17.84574-31.5815,22.697-48.64891,22.697A115.19974,115.19974,0,0,1,812.567,520.48036Z" transform="translate(-184.71661 -94.13627)" fill="#6c63ff"/><path d="M884.14261,560.76448l-.54318-.04944L874,379l29.17042,6.58833A13.17336,13.17336,0,0,1,913.296,400.092L909.513,430.29712l1.29616,53.13919c.90319,3.26416,15.67334,57.33506,7.46731,71.42353a6.54421,6.54421,0,0,1-4.06245,3.29205,101.77251,101.77251,0,0,1-24.05778,2.81541C886.47379,560.966,884.199,560.76955,884.14261,560.76448Z" transform="translate(-184.71661 -94.13627)" fill="#3f3d56"/><path d="M798.23922,561.99662a10.32063,10.32063,0,0,1-5.77977-6.86677c-1.90082-7.6527,4.51594-17.27658,5.44226-18.61266l7.7614-73.73316-11.54465-68.11438a8.68128,8.68128,0,0,1,7.59724-10.07895l32.88368-3.66726-1.66916,70.0716c14.11383,47.70484-16.62247,116.48916-16.93463,117.17876l-.17271.38155h-.41864C815.23882,568.55535,811.20774,568.48056,798.23922,561.99662Z" transform="translate(-184.71661 -94.13627)" fill="#3f3d56"/><circle cx="850.5182" cy="335.04827" r="31.8816" transform="translate(-241.19863 354.88194) rotate(-28.6632)" fill="#ffb8b8"/><path d="M887.0246,527.87856a12.17184,12.17184,0,0,1,12.19193-14.13167l11.03525-25.532,17.15133,2.92184L911.3128,526.974a12.23781,12.23781,0,0,1-24.2882.90458Z" transform="translate(-184.71661 -94.13627)" fill="#ffb8b8"/><path d="M902.56245,504.48348l9.11269-54.67683-15.56558-25.94339,3.96547-37.01235.88291-.22057a13.25148,13.25148,0,0,1,15.11177,7.10508l25.42746,53.06567.10173.21169-18.46815,72.55427Z" transform="translate(-184.71661 -94.13627)" fill="#3f3d56"/><path d="M871.41419,360.757c.72863.21108,3.78825-3.24457,7.13869-7.38717a38.47235,38.47235,0,0,0,8.01955-31.25182c-.04646-.24665-.09286-.48076-.1391-.70078-1.1097-5.28044-6.14638-10.14433-11.425-9.02588.39869-4.67793-2.7522-9.0836-6.74525-11.55292s-8.72463-3.38457-13.3381-4.25517c-5.26309-.99319-10.59278-1.99089-15.938-1.65211a31.10761,31.10761,0,0,0-14.53307,4.6423,30.68254,30.68254,0,0,0-12.88638,33.15c6.71749-7.62794,14.67773-15.92507,26.18309-12.61913a21.10906,21.10906,0,0,1,7.15908,3.74434c6.99255,5.49218,10.50836,13.58,13.90909,21.48323,1.69861-4.32494,8.00012-5.95212,11.58033-2.99028,2.29806,1.90113,3.24415,5.0619,3.15731,8.04315a29.61549,29.61549,0,0,1-2.04145,8.6741" transform="translate(-184.71661 -94.13627)" fill="#2f2e41"/><path d="M867.30308,479.86373h-1.5v-5.90137a6.60588,6.60588,0,0,0-6.59863-6.59863H840.40171a6.60588,6.60588,0,0,0-6.59863,6.59863V514.7651a6.60588,6.60588,0,0,0,6.59863,6.59863h18.80274a6.60588,6.60588,0,0,0,6.59863-6.59863V486.86373h1.5Z" transform="translate(-184.71661 -94.13627)" fill="#2f2e41"/><circle cx="665.58647" cy="392.72746" r="4" fill="#fff"/><path d="M853.5672,502.802a12.17181,12.17181,0,0,0-18.05914-4.7132L811.92965,483.3335,799.4682,495.47506l33.58994,20.36967A12.2378,12.2378,0,0,0,853.5672,502.802Z" transform="translate(-184.71661 -94.13627)" fill="#ffb8b8"/><path d="M769.23545,474.69344l21.57512-81.50565a8.72409,8.72409,0,0,1,9.94554-6.31979l7.41787,1.34813,7.90433,43.47285L800.0025,468.33246l29.07887,17.45784-4.08907,32.71128Z" transform="translate(-184.71661 -94.13627)" fill="#3f3d56"/><path d="M1014.28339,805.86373h-381a1,1,0,0,1,0-2h381a1,1,0,0,1,0,2Z" transform="translate(-184.71661 -94.13627)" fill="#3f3d56"/></svg>
\ No newline at end of file
diff --git a/src/frontend/src/assets/undraw_real_time_analytics_re_yliv.svg b/src/frontend/src/assets/undraw_real_time_analytics_re_yliv.svg
new file mode 100644
index 00000000000..32873b55fef
--- /dev/null
+++ b/src/frontend/src/assets/undraw_real_time_analytics_re_yliv.svg
@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" data-name="Layer 1" width="698.28353" height="608.57869" viewBox="0 0 698.28353 608.57869" xmlns:xlink="http://www.w3.org/1999/xlink"><path d="M577.64736,743.9862a1.2164,1.2164,0,0,0,.88158-2.10832l-.08335-.33136.03312-.07954a3.26655,3.26655,0,0,1,6.02554.02239c.98551,2.37356,2.24024,4.75117,2.54918,7.26082a9.66368,9.66368,0,0,1-.16964,3.32354,38.74392,38.74392,0,0,0,3.52438-16.09157,37.39507,37.39507,0,0,0-.232-4.17178q-.19217-1.70334-.53318-3.38243a39.19271,39.19271,0,0,0-7.77227-16.61089,10.4303,10.4303,0,0,1-4.33795-4.50066,7.95618,7.95618,0,0,1-.72357-2.17417,9.81874,9.81874,0,0,0,.637-3.3859c.29431-.44659.82106-.66859,1.14248-1.10437,1.59857-2.16733,3.801-1.78891,4.95075,1.15632,2.45615,1.23962,2.47992,3.29545.97284,5.27269-.95881,1.25793-1.09055,2.96005-1.93184,4.30676.08657.1108.17658.21813.26313.32893a39.44636,39.44636,0,0,1,4.11715,6.52255,16.39792,16.39792,0,0,1,.979-7.61655c.937-2.26055,2.69342-4.16438,4.24012-6.11862a3.36575,3.36575,0,0,1,5.99479,1.65271l.00928.0864q-.34461.1944-.67465.41269a1.65,1.65,0,0,0,.66523,3.00262l.03365.00518a16.41681,16.41681,0,0,1-.43275,2.45462c1.98421,7.67347-2.29956,10.46831-8.41622,10.59386-.135.06923-.26661.13846-.40163.20427a40.26319,40.26319,0,0,1,2.16725,10.19917,38.18792,38.18792,0,0,1-.0277,6.1659l.01039-.07269a10.09082,10.09082,0,0,1,3.44475-5.82663c2.65092-2.17763,6.39617-2.97954,9.25605-4.72993a1.89376,1.89376,0,0,1,2.90049,1.84232l-.0117.07644a11.0834,11.0834,0,0,0-1.24286.59891q-.34461.19444-.67465.41269a1.65,1.65,0,0,0,.66523,3.00265l.03367.00517.06921.01041a16.43129,16.43129,0,0,1-3.02234,4.7326c-1.24068,6.69864-6.56942,7.33419-12.2695,5.38348h-.00348a40.25033,40.25033,0,0,1-2.70387,7.89347h-9.65908c-.03465-.10732-.06579-.21812-.097-.32546a10.97505,10.97505,0,0,0,2.67273-.1592c-.71665-.87938-1.43328-1.76569-2.14994-2.645a.60048.60048,0,0,1-.045-.05193c-.36351-.45-.73049-.89666-1.094-1.34671l-.00019-.00055a16.075,16.075,0,0,1,.471-4.09507Z" transform="translate(-250.85824 -145.71065)" fill="#f2f2f2"/><path d="M336.98262,743.9862a1.2164,1.2164,0,0,1-.88157-2.10832l.08335-.33136-.03312-.07954a3.26656,3.26656,0,0,0-6.02555.02239c-.98551,2.37356-2.24023,4.75117-2.54918,7.26082a9.66393,9.66393,0,0,0,.16964,3.32354,38.74391,38.74391,0,0,1-3.52437-16.09157,37.39507,37.39507,0,0,1,.232-4.17178q.19215-1.70334.53317-3.38243a39.19285,39.19285,0,0,1,7.77228-16.61089,10.43034,10.43034,0,0,0,4.33794-4.50066,7.95618,7.95618,0,0,0,.72357-2.17417,9.819,9.819,0,0,1-.637-3.3859c-.2943-.44659-.82105-.66859-1.14248-1.10437-1.59857-2.16733-3.801-1.78891-4.95074,1.15632-2.45615,1.23962-2.47992,3.29545-.97284,5.27269.95881,1.25793,1.09055,2.96005,1.93184,4.30676-.08657.1108-.17659.21813-.26313.32893a39.4457,39.4457,0,0,0-4.11715,6.52255,16.39805,16.39805,0,0,0-.979-7.61655c-.93706-2.26055-2.69343-4.16438-4.24012-6.11862a3.36576,3.36576,0,0,0-5.9948,1.65271l-.00927.0864q.34459.1944.67464.41269a1.65,1.65,0,0,1-.66523,3.00262l-.03364.00518a16.41681,16.41681,0,0,0,.43275,2.45462c-1.98422,7.67347,2.29956,10.46831,8.41622,10.59386.135.06923.2666.13846.40163.20427a40.262,40.262,0,0,0-2.16725,10.19917,38.18677,38.18677,0,0,0,.0277,6.1659l-.0104-.07269a10.09082,10.09082,0,0,0-3.44475-5.82663c-2.65092-2.17763-6.39617-2.97954-9.256-4.72993a1.89376,1.89376,0,0,0-2.90049,1.84232l.0117.07644a11.08424,11.08424,0,0,1,1.24286.59891q.3446.19444.67465.41269a1.65,1.65,0,0,1-.66524,3.00265l-.03367.00517-.0692.01041a16.43108,16.43108,0,0,0,3.02234,4.7326c1.24068,6.69864,6.56941,7.33419,12.2695,5.38348h.00347a40.251,40.251,0,0,0,2.70387,7.89347h9.65909c.03464-.10732.06579-.21812.097-.32546a10.97508,10.97508,0,0,1-2.67273-.1592c.71666-.87938,1.43329-1.76569,2.14994-2.645a.59875.59875,0,0,0,.045-.05193c.36351-.45.73049-.89666,1.094-1.34671l.0002-.00055a16.07543,16.07543,0,0,0-.471-4.09507Z" transform="translate(-250.85824 -145.71065)" fill="#f2f2f2"/><path d="M482.96471,224.97808c1.95416-3.93451,5.0777-7.20117,6.98822-11.1571,1.91059-3.95587,2.28211-9.25055-.90088-12.27844-2.70269-2.571-6.936-2.607-10.16809-4.46924-8.23425-4.74439-8.22467-19.81372-17.6383-21.11579-4.57758-.63317-8.71942,2.79969-11.48615,6.501-2.76678,3.70136-4.97131,8.02039-8.80841,10.59552-4.34363,2.9151-9.95929,3.04187-14.78265,5.06665-9.24787,3.88208-14.09632,13.8645-18.15027,23.03839-2.61157,5.90985-5.283,12.28412-4.07129,18.63068-2.63385,1.63885-1.46,6.04675,1.16907,7.69318s5.93066,1.60986,8.94964,2.323c6.345,1.4989,11.54041,6.54975,14.00336,12.58619,1.91968,4.70489,2.31219,9.87066,2.68262,14.93859q.964,13.19084,1.928,26.3816c.286,3.91241.66113,8.07019,3.04248,11.1875,2.38141,3.11731,7.53833,4.42358,10.21533,1.55615,2.55835-2.74036,1.40607-7.07874,1.35425-10.82733-.05176-3.7486,3.33685-8.41645,6.532-6.45539l1.12677-2.55664a40.33337,40.33337,0,0,0,26.60254-34.6817C482.36938,249.49053,477.4171,236.14733,482.96471,224.97808Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M490.42248,303.88989a5.07894,5.07894,0,0,0-2.9137-8.74274l.01208.42236a8.73331,8.73331,0,0,1-4.53051,1.19068,13.72034,13.72034,0,0,0-4.6615.73834,3.92894,3.92894,0,0,0-2.58515,3.61511,3.81561,3.81561,0,0,0,2.05744,2.8653,11.27063,11.27063,0,0,0,3.49878,1.06256C484.43389,305.6311,488.102,306.07727,490.42248,303.88989Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M551.53936,225.1864a11.54039,11.54039,0,0,0,3.27344-3.38983,3.93566,3.93566,0,0,0-.25525-4.44037,5.273,5.273,0,0,0-3.568-1.28894,27.75671,27.75671,0,0,0-10.515,1.23993q5.22592,4.6299,10.45178,9.25988Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M534.11626,233.21411c1.40821,1.55426.95929,3.96521.56067,6.02435-.39862,2.05908-.4494,4.63214,1.32166,5.75549,1.535.97364,3.68957.17914,4.81225-1.25049a11.07934,11.07934,0,0,0,1.78021-5.09185,35.58342,35.58342,0,0,0,.74317-8.03723,12.39179,12.39179,0,0,0-2.72943-7.4599,8.78433,8.78433,0,0,0-9.95728-2.3263l1.61872-.07983a15.80164,15.80164,0,0,0-2.63337,5.0531,5.36683,5.36683,0,0,0,1.33051,5.28424C531.92364,231.92132,533.26159,232.27075,534.11626,233.21411Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M613.53612,207.14636l.2873-.88629a6.067,6.067,0,0,0-2.72925,7.134A6.63008,6.63008,0,0,0,613.53612,207.14636Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M597.89092,219.832a11.27379,11.27379,0,0,0,5.63416-8.433,6.20231,6.20231,0,0,0-.36457-3.22064,3.32835,3.32835,0,0,0-2.424-2.00159l-.65552,1.03174c-.94012-.809-2.519.023-2.91449,1.19861a6.41856,6.41856,0,0,0,.305,3.65039,4.81091,4.81091,0,0,1-.05744,3.62085,13.02076,13.02076,0,0,1-1.774,1.86377,1.857,1.857,0,0,0-.33887,2.33539C595.91808,220.58215,597.07207,220.28643,597.89092,219.832Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M591.22063,214.06848a6.13592,6.13592,0,0,0,.76349-3.31067l-1.43371-.44959a6.12235,6.12235,0,0,0-2.36829,1.71314,1.86583,1.86583,0,1,0,3.03851,2.04712Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M661.28649,206.814c.12976.10852.25848.22015.38824.32971.11414-.024.22272-.06708.33936-.0813Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M658.98913,219.39459q1.97415-1.597,3.94824-3.194a6.584,6.584,0,0,0,1.75451-1.84418,4.46036,4.46036,0,0,0-.318-4.29474,11.81241,11.81241,0,0,0-2.6991-2.918,4.88077,4.88077,0,0,0-3.725,5.304c.23773,1.50952,1.18573,3.12378.41192,4.44153-.30126.51312-.81958.86242-1.16693,1.34558-.34735.48309-.46014,1.25256.01722,1.60785C657.74193,220.23706,658.47545,219.81011,658.98913,219.39459Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M661.86754,225.912a3.41784,3.41784,0,0,0,2.64313-1.04034,23.33842,23.33842,0,0,0,4.56867-5.01941q-4.44205,1.40707-8.88416,2.814l.92316,1.07966C660.29833,224.28112,660.90575,225.72778,661.86754,225.912Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M670.16759,232.00738a2.26952,2.26952,0,0,0,2.34375,1.43109,3.38982,3.38982,0,0,0,2.41632-1.54675,4.50178,4.50178,0,0,0-3.53936-7.02466l.81756,1.24915C672.41417,228.24841,669.5158,229.96661,670.16759,232.00738Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M727.68041,255.35992a4.61809,4.61809,0,0,0,5.54175-.01318,4.94283,4.94283,0,0,0,.29547-7.24305l-1.51239.84443a3.85089,3.85089,0,0,0-5.244,1.04162A4.19834,4.19834,0,0,0,727.68041,255.35992Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M745.26775,257.351a4.48037,4.48037,0,0,0,3.07276-3.12189l-2.94031-.38641a6.5103,6.5103,0,0,0-2.77881-1.21387,2.23162,2.23162,0,0,0-2.42114,1.42651,2.41541,2.41541,0,0,0,.82434,2.20765A4.48034,4.48034,0,0,0,745.26775,257.351Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M733.12554,263.22949a2.53437,2.53437,0,0,0,1.69446,2.12372,2.74555,2.74555,0,0,0,3.04883-.47217,1.68314,1.68314,0,0,0-.61091-2.66913l-2.205-.401C734.201,261.36975,733.11168,262.27014,733.12554,263.22949Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M605.18261,278.73388l-1.70661-1.55841A5.58655,5.58655,0,0,0,605.18261,278.73388Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M592.14721,269.55743c1.0506,4.87933,6.30609,8.85437,11.07708,7.38818l.25171.22986c-1.519-2.07892-1.77636-5.155-1.42157-7.83008A27.57368,27.57368,0,0,1,617.96,248.15264a6.56346,6.56346,0,0,0,2.985-1.94476c.67993-.99432.42621-2.6994-.74518-2.98028a2.78923,2.78923,0,0,0-1.81879.421l-8.86615,4.36377c-4.47821,2.204-9.04565,4.4712-12.56311,8.01233S591.09661,264.678,592.14721,269.55743Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M449.02593,437.3399a108.87053,108.87053,0,0,0-26.88086-14.04755c-5.88324-2.09155-12.20477-3.68713-18.33472-2.49951a21.82368,21.82368,0,0,0-15.43994,12.3252,22.85724,22.85724,0,0,0,.747,19.81164c2.82672,5.29718,7.7218,9.51587,9.35834,15.29273,1.10327,3.89459.58063,8.04107.04956,12.05395q-1.62791,12.30057-3.25574,24.60108c-.988,7.46612-1.95086,15.23571.413,22.38635,2.36389,7.15063,9.10925,13.45386,16.60211,12.6944l1.4848-.1117c-4.95648-3.37048-6.34576-10.34808-4.86993-16.15747,1.47589-5.80933,5.22143-10.73559,8.8786-15.4845q16.27908-21.13851,32.5581-42.277c4.39093-5.7016,9.03522-12.749,6.69379-19.55384C455.699,442.50549,452.35167,439.72186,449.02593,437.3399Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M375.06481,401.71484c-1.09912-.37256-2.26007.45526-2.90631,1.41919a19.48082,19.48082,0,0,1-1.83374,2.94781c-1.69061,1.74256-4.77155,1.39637-6.59491-.20684-1.82337-1.60315-2.6134-4.08265-2.96729-6.48468-.42456-2.88215-.24127-6.09748,1.66089-8.304,1.95819-2.27148,5.1767-2.88092,8.13831-3.35272,3.05926-.48737,6.48663-.89386,8.99292.92682,1.57867,1.14679,2.49878,2.99737,3.96118,4.28918,1.4624,1.29175,4.06372,1.78119,5.16431.16992a3.96505,3.96505,0,0,0-.05286-3.67267,8.99,8.99,0,0,1-1.09168-3.63678c.07367-1.77111,1.496-3.17865,2.95112-4.191s3.09851-1.88587,4.05316-3.37946c1.17431-1.83722,1.04968-4.2038,1.77813-6.259,1.76313-4.97406,8.05549-7.18683,9.88843-12.13562a4.67859,4.67859,0,0,0,.13965-3.2815c-.76721-1.97107-2.84088-1.58422-2.968-3.99365-.1217-2.30469,1.80066-4.56463,3.754-5.52716,2.69312-1.32709,5.83289-1.21942,8.83417-1.30011,3.00122-.08063,6.23468-.47961,8.43731-2.51984a7.2724,7.2724,0,0,0-.77337-10.81823c-1.64124-1.13349-3.71607-1.52765-5.313-2.72272-1.98907-1.48853-2.9306-3.96759-4.4798-5.90973a22.73076,22.73076,0,0,0-4.38745-3.88464q-1.994-1.4795-3.98791-2.95911c-2.40314-1.78314-4.90357-3.61163-7.82782-4.247-2.92426-.63525-6.40656.26367-7.871,2.87335a8.87849,8.87849,0,0,0-.92413,3.73676,53.81207,53.81207,0,0,0,.38111,9.15387q.362,3.66431.724,7.32867c.21631,2.19-.01593,5.07727-2.14184,5.64563-4.71619,1.26093-3.12476-5.7124-4.17072-7.84875-1.60107-3.27-8.95715-4.84027-12.10186-6.20306-1.964-.85108-4.03669-1.79059-5.2226-3.57251-1.476-2.21778-1.173-5.23633-.01556-7.63575,1.15741-2.39947,3.04327-4.35247,4.75647-6.39257,1.74639-2.07959,3.3366-4.28455,4.925-6.48719q2.76334-3.83193,5.52668-7.66382c2.36273-3.27636,4.84655-7.275,3.50445-11.085a2.98226,2.98226,0,0,0-5.45746.65808c-.58825,2.05683.981,4.683-.52014,6.20728a2.81418,2.81418,0,0,1-3.61126-.06757,8.20294,8.20294,0,0,1-2.15839-3.26385c-1.81873-4.04169-3.59064-8.1084-5.45752-12.128-.59015-1.27069-1.20612-3.44647-2.99463-3.2323-1.55267.186-2.39117,2.44861-2.33722,3.76227.07849,1.91125,1.13489,3.619,1.94226,5.35315s1.372,3.81652.48554,5.51159c-1.1225,2.14618-3.96521,2.6283-6.38617,2.55738a29.944,29.944,0,0,1-13.0719-3.44916q-.1582,3.36429-.31647,6.72857-4.82007-2.01745-9.64014-4.035-.93612-.39184-1.87231-.78369c-2.71063-1.13458-5.42462-2.27045-8.21509-3.19147-1.58417-.52289-3.19037-.97565-4.796-1.42828q-1.46411-.41263-2.9281-.82532a15.36277,15.36277,0,0,0-6.00885-.85718c-2.14325.26923-4.05493,1.42029-6.03711,2.28089-4.42236,1.91974-10.14233-.01154-14.88147-.04572a19.89643,19.89643,0,0,0-33.42706.92615,39.813,39.813,0,0,0-2.22168,4.467q-.96452,2.16156-1.92908,4.32306c-.9433,2.11395-1.90741,4.341-1.722,6.64844s1.95428,4.66461,4.269,4.64367c-5.45831,2.47113-6.59412,11.11823-1.95911,14.91516,1.28345,1.05139,2.8573,1.739,4.01227,2.93006a6.29162,6.29162,0,0,1-4.72668,10.6679,15.323,15.323,0,0,0,18.21423-5.70526c1.98163-3.1026,2.8429-6.9787,5.53864-9.4859,3.57006-3.32043,9.467-3.06274,13.58459-.4519s6.72241,7.05627,8.51416,11.59064c2.348,5.94213,3.85071,12.73223,8.853,16.7069,2.41876,1.92188,5.48187,3.00275,7.61975,5.23285,3.04449,3.17591,3.57123,7.96918,3.50256,12.36817-.06866,4.39892-.54242,8.963,1.06,13.0603s6.19629,7.46716,10.31574,5.92267a16.408,16.408,0,0,0,6.86889,19.16492q-1.12573-6.98245-2.25146-13.965c3.7406,1.053,6.165,4.68121,7.56518,8.30621,1.40015,3.62488,2.14,7.54517,4.1695,10.859,3.19592,5.21826,8.98327,7.46674,14.8706,7.447,6.35993-.02136,8.77454-3.05365,12.96576-7.51953a6.83987,6.83987,0,0,0,1.85962-2.79211A2.34922,2.34922,0,0,0,375.06481,401.71484Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M393.07354,401.48315q-5.33221-.83808-10.66455-1.67621,2.79537,1.68054,5.5907,3.361a20.22092,20.22092,0,0,0,5.02087,2.419,6.81959,6.81959,0,0,0,5.40161-.5686l-.455-.86982C397.25023,402.33593,394.9992,401.78582,393.07354,401.48315Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M390.65819,421.24316l.0246-.06165a2.08714,2.08714,0,0,0-2.11957-.9826,7.74858,7.74858,0,0,1-2.47931.04034,3.51734,3.51734,0,0,1-2.13165-2.42291c-.35333-1.06311-.45788-2.2005-.86029-3.246a4.76425,4.76425,0,0,0-3.84985-3.14038,3.3273,3.3273,0,0,0-3.57868,3.00354,5.55733,5.55733,0,0,0,.82984,2.52441q.57513,1.10632,1.15033,2.21271a14.874,14.874,0,0,0,1.11212,1.903,7.43193,7.43193,0,0,0,11.90246.1695Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M369.8969,232.06823c2.70691,1.59583,6.09662,2.69568,7.38275,5.56269l.742.23968q-1.214,1.50852-2.428,3.017c-1.00018,1.2428-2.05188,2.62756-2.0285,4.22265.03222,2.19678,2.14538,3.85407,4.28051,4.372a9.38065,9.38065,0,0,0,10.84479-6.39209c.25391-.92608.3587-1.88659.58142-2.82061a22.94132,22.94132,0,0,1,2.90582-6.2428q10.7818-18.139,21.56366-36.278c.89515-1.506,1.81794-3.30755,1.14478-4.925a3.86913,3.86913,0,0,0-3.82031-2.05011,11.3482,11.3482,0,0,0-4.34888,1.46258,7.40613,7.40613,0,0,0-5.7934-3.71429,21.87066,21.87066,0,0,0-7.10986.61926,43.77435,43.77435,0,0,0-14.91687,5.12439c-2.52795,1.278-5.31,2.85626-6.0434,5.59235-.90222,3.3656,2.00531,6.79571,5.35279,7.76293,3.34747.96729,6.92053.155,10.30853-.65917a7.80046,7.80046,0,0,1-13.03863,7.36c-2.42853-2.36474-3.618-6.46979-6.95227-7.08008-3.32367-.60833-5.96558,2.93665-6.6991,6.235A17.71762,17.71762,0,0,0,369.8969,232.06823Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M411.5852,290.25616a63.74646,63.74646,0,0,0-6.27118-12.869,38.45057,38.45057,0,0,0-7.1283-8.59009,27.542,27.542,0,0,0-8.62146-5.05035c-3.06506-1.10846-6.47742-1.65595-9.57611-.64533-3.09863,1.01069-5.7348,3.89173-5.672,7.15046.06946,3.60315,3.22205,6.42114,6.50769,7.90167s6.94062,2.12488,10.04047,3.96283a15.04933,15.04933,0,0,1,7.228,12.14941l.7807,1.291a15.6037,15.6037,0,0,0-4.87036,2.65167,5.29679,5.29679,0,0,0-1.84967,4.97748c.54162,2.18188,2.76947,3.434,4.784,4.4317q5.58353,2.76535,11.16706,5.53076c-1.89527-5.65155,4.31-10.91058,4.65319-16.86157A15.589,15.589,0,0,0,411.5852,290.25616Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M317.98778,274.99725c2.25806,1.75354,5.72986.93329,7.79847-1.04016,2.0686-1.97351,3.07611-4.78186,4.01568-7.48206a28.886,28.886,0,0,0,.09656,8.04383,9.74366,9.74366,0,0,0,4.23926,6.58953,11.4238,11.4238,0,0,0,3.26281,1.18787,27.46849,27.46849,0,0,0,15.937-1.13861l.0456-1.73779c-2.5531.29126-4.48511-2.50892-4.65363-5.073-.16858-2.56409.762-5.07868.84381-7.647s-1.156-5.56909-3.68469-6.02606a4.88838,4.88838,0,0,1-6.217,6.70728c-2.92694-1.18994-3.99023-4.75574-6.25214-6.96186a9.48651,9.48651,0,0,0-10.41027-1.46423,12.91094,12.91094,0,0,0-6.69171,8.50971C315.63061,270.103,315.83446,273.32507,317.98778,274.99725Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M387.67693,256.697l.1048-.17011c-.63043-1.82031-2.58435-2.88763-4.49158-3.15851a29.18668,29.18668,0,0,0-5.76312.19049,8.35606,8.35606,0,0,1-5.52637-1.21722c-1.31286-.98145-2.06079-2.52557-3.11029-3.78467-1.04956-1.25909-2.74817-2.29449-4.27276-1.69244-1.65058.65179-2.09089,2.96533-1.28992,4.54889a8.04181,8.04181,0,0,0,4.04516,3.30169A31.20222,31.20222,0,0,0,387.67693,256.697Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M365.98528,262.15325a2.53494,2.53494,0,0,0,2.82428,4.20527l.55689.54968c.7406-1.32623,1.046-3.103.09893-4.29059A2.63056,2.63056,0,0,0,365.98528,262.15325Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M359.46886,266.91119a2.3473,2.3473,0,0,0-1.464-2.215,2.24724,2.24724,0,0,0-2.60919,1.93091,4.48356,4.48356,0,0,0,1.17444,3.37408,3.09386,3.09386,0,0,0,2.14813,1.34968c.87268.02856,1.76251-.884,1.40863-1.68226l-1.33252-.026A6.88124,6.88124,0,0,0,359.46886,266.91119Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M333.40978,253.26434q.73407.5949,1.4682,1.18994a17.60232,17.60232,0,0,0,2.73468,1.94171,7.49164,7.49164,0,0,0,5.57251.68213,5.73623,5.73623,0,0,0,3.922-3.87024c.58514-2.20489-.36933-4.49432-1.30341-6.5755a3.99,3.99,0,0,0-1.02624-1.5647,1.368,1.368,0,0,0-1.73084-.068,1.71222,1.71222,0,0,0-.27862,1.64447,4.4837,4.4837,0,0,1,.2702,1.71393c-.09308.5755-.69714,1.11944-1.22925.88141l-.08472,1.959c-2.541-1.28625-3.88482-4.70764-6.7127-5.045a3.49,3.49,0,0,0-3.48529,5.12188A7.01119,7.01119,0,0,0,333.40978,253.26434Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M327.35772,244.80731a3.86986,3.86986,0,0,0,1.64972-3.68665,2.3791,2.3791,0,0,0-3.2298-1.72363,3.83071,3.83071,0,0,0-1.43933,2.2088q-1.00452,2.83356-2.0091,5.66718l1.12555-.819A11.38384,11.38384,0,0,0,327.35772,244.80731Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M340.40081,233.21429a2.21452,2.21452,0,0,0-.68414-3.3252l-1.40735-.13159a2.11207,2.11207,0,1,0,2.09149,3.45679Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M353.34862,235.38665c1.3133.62836,2.97577,1.22711,4.11829.32483a2.597,2.597,0,0,0,.79541-2.47528,6.29379,6.29379,0,0,0-1.16132-2.446,23.49991,23.49991,0,0,0-6.53515-6.31037l-.635.825c-.8869,2.303-1.74323,4.99152-.50617,7.127C350.25878,233.87139,351.84777,234.66857,353.34862,235.38665Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M363.13231,237.43627l2.45582,1.11084A2.30293,2.30293,0,0,0,363.13231,237.43627Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M356.51433,245.16314l-1.16046.38233c-.98675,1.62158-.55865,3.69506-.09967,5.53692.29016,1.16443.916,2.59717,2.11481,2.54425,1.16656-.05151,1.68274-1.466,1.90662-2.612a7.88393,7.88393,0,0,0,.11029-3.81976A2.70652,2.70652,0,0,0,356.51433,245.16314Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M338.00847,239.7055l.85865.34576a.92412.92412,0,1,0-.85865-.34576Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M381.29693,305.3623a2.60951,2.60951,0,0,0-2.38819,3.51752c.84326,1.81579,3.7472,1.82361,5.03778.293a3.95175,3.95175,0,0,0-1.01922-5.72248Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M423.1223,348.37329a2.61313,2.61313,0,0,0-1.83178,3.26855l2.41076.16742q1.22462-.61469,2.44922-1.22943A2.61316,2.61316,0,0,0,423.1223,348.37329Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M413.32293,351.35559a4.98264,4.98264,0,0,0-2.08856,4.36114,3.98563,3.98563,0,0,0,3.11883,3.52429,3.3318,3.3318,0,0,0,3.76532-2.55371c.40772-2.49371-2.27222-4.32-3.23535-6.656Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M506.95867,334.88665c.25452,1.872-1.43219,3.51184-1.49487,5.40009-.07441,2.24035,2.36425,3.98334,4.595,3.76349a7.26583,7.26583,0,0,0,5.21954-3.83393l.04822-.21q-1.62982-1.84213-3.25964-3.68432c-1.33435-1.50818-2.74891-3.22492-2.6966-5.238.02582-.99237.41693-1.95392.39478-2.94641a7.13933,7.13933,0,0,0-.47248-2.08246c-.29425-.878-.69482-1.86743-1.57214-2.16376-1.09814-.371-2.2063.60218-2.73053,1.636a6.47212,6.47212,0,0,0,.19141,6.09546C505.81573,332.70031,506.79021,333.64776,506.95867,334.88665Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M496.71215,341.473a1.87206,1.87206,0,0,0,1.56128.1001,8.17012,8.17012,0,0,0,2.747-.99817,2.774,2.774,0,0,0,1.34362-2.45325,3.20931,3.20931,0,0,0-2.61383-2.42712,2.81063,2.81063,0,0,0-2.615.39947c-.80963.75946-.71289,2.04846-.55438,3.14716l-.17065.28625C496.25792,340.20605,496.16045,341.04968,496.71215,341.473Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M667.738,421.47607q-.35258-.87671-.7052-1.75336C666.71062,420.51647,666.83031,421.32836,667.738,421.47607Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M808.815,298.549c-3.01581-3.2721-4.86267-5.15857-6.76727-9.21442a14.93093,14.93093,0,0,0-11.29742-8.48395c-6.2566-1.03076-12.65033.60144-18.98291.27436-10.14344-.52393-19.28974-5.96436-29.00354-8.93183a121.36633,121.36633,0,0,0-16.57538-3.41852q-4.8383-.7652-9.67676-1.53033c-10.57324-1.67212-21.21387-3.34912-31.91632-3.12708-3.08612.06409-7.38532-.86352-7.138-3.94036.30713-3.82148,7.18249-3.31977,8.505-6.91828.81818-2.226-1.14007-4.56317-3.28747-5.5697-2.1474-1.00659-4.6261-1.30921-6.575-2.66065-1.94891-1.35131-3.01678-4.484-1.22552-6.03845q-7.44726,3.81766-14.89429,7.63544c-4.12768,2.116-8.7395,4.869-9.46856,9.44983a10.94989,10.94989,0,0,0-6.14777,4.271c-2.7926.01453-4.9873,2.69568-5.44794,5.45014-.46069,2.75445.37665,5.54217,1.20447,8.20941-1.01294-1.94031-2.089-3.95465-3.87445-5.22076-1.78552-1.26606-4.50348-1.50721-6.02557.06561-1.562,1.61395-1.19678,4.32184-.0918,6.27728,1.1051,1.95545,2.80243,3.53375,3.84515,5.5232,3.25653,6.21344-2.64428,14.96118-9.62506,14.2691q.70221-9.62412,1.4046-19.24817a12.88138,12.88138,0,0,0-.48474-5.88745c-.76147-1.83667-2.71142-3.34515-4.65185-2.91144-3.48889.77985-3.19086,5.89063-1.73938,9.15778,1.45129,3.26721,2.89813,7.81073-.06452,9.81158-1.91327,1.29212-4.50732.49414-6.57281-.53729-2.06555-1.03131-4.27521-2.30231-6.533-1.8205-2.25788.48188-3.67774,3.93323-1.68286,5.0954q-4.96244-.86233-9.92475-1.72473a7.05958,7.05958,0,0,1-8.83355,5.6358q-.48715-2.01882-.97431-4.03778-.7262-.20214-1.45221-.40436c1.51959.42316-.85809,6.83173-2.98944,11.72724-2.86535-.336-7.053-.40076-7.5307-1.2218-2.288-3.93189-2.01636-13.29755-5.99152-15.50965q-2.99039-1.664-6.13293-3.03253a14.38468,14.38468,0,0,0-3.46027-1.13611c-2.44146-.38476-4.90258.37244-7.25824,1.12055-2.78344.88391-5.63177,1.80114-7.93646,3.595a24.82774,24.82774,0,0,0-4.99939,5.94519q-6.82579,10.1022-13.65161,20.20428a21.65077,21.65077,0,0,0-3.16174,5.92511,7.74158,7.74158,0,0,0,.7204,6.41346,4.96285,4.96285,0,0,0,5.81237,1.98608c1.31891-.57092,2.6399-1.86487,3.94684-1.26721.98981.45257,1.23731,1.75354,1.13349,2.837a7.57833,7.57833,0,0,0-.05811,3.23261c.59509,1.68652,2.88409,2.27337,4.51685,1.54352a6.98156,6.98156,0,0,0,3.31817-4.04c1.57343-4.03473,1.41284-8.49915,1.80457-12.81208.3916-4.31292,1.57055-8.9259,4.971-11.6076,1.01782-.80273,2.5133-1.38141,3.56109-.618a2.54567,2.54567,0,0,1,.626,2.89007,11.31894,11.31894,0,0,1-1.6969,2.66559,14.61319,14.61319,0,0,0-2.40393,11.40564l.69495.43006c2.65136-.68769,6.19976.54364,9.71984,1.72448a12.65142,12.65142,0,0,0-6.4284,4.42157c-4.06873,5.70868-7.01367,11.111-15.06262,11.04315-1.90943-.01605-3.80262-.39361-5.7121-.39776a7.46652,7.46652,0,0,0-5.297,1.7641c-1.44769,1.41748-1.89514,3.57556-3.1336,5.17908-1.6283,2.10821-4.35028,2.96563-6.83606,3.92321-1.81672.69983-3.73163,1.64368-4.56665,3.40241a8.4288,8.4288,0,0,0-.34992,4.50647c.27985,2.66345.77539,5.6925,3.03485,7.13025a7.18817,7.18817,0,0,0,5.53168.468c2.3501-.57171,4.6488-1.64837,7.06213-1.48755,3.78962.25251,6.91028,3.89014,6.94861,7.68793.01947,1.92236-.54144,4.12738.73279,5.567,1.1972,1.35266,3.57208,1.11157,4.8125-.20172a5.54547,5.54547,0,0,0,1.04523-5.09034,16.3735,16.3735,0,0,0-2.39765-4.83056,5.63743,5.63743,0,0,1,6.48706,2.999c.84174,1.87006.56971,4.02783.83814,6.06091.26861,2.03308,1.50641,4.29273,3.55377,4.40991a2.86847,2.86847,0,0,0,2.88452-2.264,20.619,20.619,0,0,0-.16833-3.0871,3.95449,3.95449,0,0,1,3.99383-3.68012,5.63552,5.63552,0,0,0,1.38129,7.03772c1.55823,1.20575,3.61755,1.47516,5.55871,1.81214s4.01148.86975,5.26435,2.39038c2.08667,2.53265-.46655,3.67346-.86408,5.8183-.48785,2.63324,1.71155,6.52185,2.55628,9.041q5.82366,8.14683,11.64721,16.29358a19.71321,19.71321,0,0,0,3.0445,3.60913c3.8324,3.29169,10.15051,2.96686,13.82574-.4992a11.85327,11.85327,0,0,0,2.01282-13.93909c-2.27124-4.13446-6.77154-6.695-8.994-10.85584a23.7238,23.7238,0,0,0,13.023,5.35572A65.66633,65.66633,0,0,1,625.48223,403.96a32.99275,32.99275,0,0,0,8.13623,20.2511,29.16064,29.16064,0,0,1,8.46112-16.80268c2.991-2.91693,7.0777-5.26867,11.18127-4.48425,4.10352.78436,7.21674,6.01709,4.73475,9.37781q3.11947.232,6.239.464,1.399,3.47826,2.79816,6.95672a2.40892,2.40892,0,0,1,2.35-1.63135c1.947.29395,3.31244,2.10541,5.16437,2.77424,3.491,1.26074,7.22284-2.23163,7.67426-5.91565.45153-3.68409-1.30121-7.24085-3.00385-10.53888a19.6706,19.6706,0,0,0,20.21265-29.84619,50.0912,50.0912,0,0,1,14.07123-10.3595c4.86877-2.4054,10.19451-4.0564,14.4497-7.43054,4.25513-3.37415,7.23944-9.23316,5.19269-14.26325-1.446-3.5534-5.07227-5.96509-6.15765-9.64471-1.571-5.32654,3.20153-10.836,8.5932-12.16681,5.3916-1.33075,11.022.30493,16.33307,1.92785-.816-5.465,5.51843-10.58819,10.692-8.64764q3.25021-1.31607,6.50037-2.63214c-2.51172,5.53778-7.95435,9.061-11.95636,13.6391-4.00208,4.57794-6.3855,12.03308-2.2049,16.44867q8.98838-8.14673,17.97675-16.29346,9.402-8.52164,18.80377-17.04321-.449-1.31872-.89783-2.63751C796.7564,303.20935,803.14293,301.34625,808.815,298.549Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M497.572,371.64526a2.06347,2.06347,0,0,0,.0119,2.3717,1.816,1.816,0,0,0,2.31348.03113,5.29522,5.29522,0,0,0,1.46552-2.02875,3.30109,3.30109,0,0,0,3.3565,1.75788,8.25524,8.25524,0,0,0,3.70319-1.54431,8.118,8.118,0,0,0,2.2489-1.951,3.21152,3.21152,0,0,0,.56506-2.82733,4.87108,4.87108,0,0,0-1.4613-1.88642q-2.37844-2.197-4.75684-4.394l-.53729-.161a3.03041,3.03041,0,0,0-4.3717-.04663c-.98456,1.10223-.989,2.74884-.8385,4.21911s.38464,3.03663-.27,4.36176C498.62572,370.307,497.99,370.90832,497.572,371.64526Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M589.56725,421.67559a33.06336,33.06336,0,0,1-25.12494-25.25366c-.58429-2.91113-.84912-6.0918-2.78576-8.34241-1.87476-2.17883-4.93787-2.96521-7.81226-2.965-2.87433.00024-5.70795.66174-8.57672.84064-5.01593.3128-10.33057-1.01215-13.91742-4.53235-1.69855-1.66693-2.98444-3.78394-4.9682-5.0987-2.66614-1.767-6.20081-1.76568-9.23865-.76446-3.38367,1.11517-6.09192,4.16668-9.79175,3.7467-3.84784-.43677-8.30743-1.79687-9.816,3.26972-.43438,1.4588-.28644,3.05883-.83648,4.47815-.84778,2.18725-3.09827,3.42041-4.8783,4.9483-3.58557,3.07776-5.49146,7.75329-6.13354,12.43481-.642,4.68152-.14527,9.43573.352,14.13483.26819,2.53455.621,5.26215,2.362,7.12366,2.42676,2.59485,6.49921,2.4945,10.03992,2.20215q6.17048-.5095,12.34094-1.01893c2.21759-.1831,4.744-.2608,6.32276,1.30719.946.93952,1.34631,2.29889,2.1781,3.34082a5.12886,5.12886,0,0,0,6.25751,1.26166,10.38827,10.38827,0,0,0,7.83685,15.39136l.317.2c-2.63361,4.50989-5.36609,9.57385-4.274,14.68091.9364,4.37891,4.563,7.88965,5.156,12.32813.54413,4.07226-1.58062,8.23693-.64062,12.23645.9519,4.05017,5.04217,6.8739,9.19177,7.17535s8.22656-1.53937,11.4408-4.18109,5.69964-6.04419,8.14868-9.40759c1.51221-2.07679,3.0628-4.2381,3.582-6.75415.55243-2.67719-.088-5.64423,1.21381-8.04792,1.50134-2.77209,5.06518-3.81115,6.86407-6.40008,2.32935-3.35248.957-7.91815,1.47192-11.9679C577.123,438.02026,589.85674,431.77417,589.56725,421.67559Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M587.72838,455.89007c-.34838,1.56482-1.81353,2.59509-3.20977,3.38275-1.39624.78772-2.93177,1.58234-3.64313,3.01892-.72858,1.4715-.39569,3.22492-.01453,4.822q1.18945,4.98359,2.8017,9.8534a100.33947,100.33947,0,0,0,5.44556-12.18695,16.01347,16.01347,0,0,0,1.195-4.88611,6.04235,6.04235,0,0,0-1.64319-4.61749Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M673.418,438.46q-2.62455-3.02985-5.249-6.0597c-1.1966-1.38134-2.56116-2.8565-4.37415-3.087l-.74646.47681q2.27564,5.41845,4.55133,10.83691a10.28934,10.28934,0,0,0,2.74817,4.32263c1.358,1.06708,3.55988,1.272,4.6925-.0318a3.48,3.48,0,0,0,.41144-3.452A10.25283,10.25283,0,0,0,673.418,438.46Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M690.37206,442.32782a5.03,5.03,0,0,0,2.97394-2.77222,14.91,14.91,0,0,0,1.0639-4.03748q.44851-2.713.897-5.42608l-.39106-.10059a1.74231,1.74231,0,0,0-2.20874.61285,8.65307,8.65307,0,0,0-.9898,2.31177,2.80065,2.80065,0,0,1-1.5987,1.838c-1.40448.42383-2.73468-1.06463-4.20062-1.00653a2.64077,2.64077,0,0,0-2.29419,2.35492,5.11967,5.11967,0,0,0,.95972,3.36377C685.83373,441.40686,688.15368,442.96636,690.37206,442.32782Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M700.04625,445.75689l4.03217-10.62018A10.35765,10.35765,0,0,0,700.04625,445.75689Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M720.6245,437.19567l-.81537.03461a5.26048,5.26048,0,0,0-.04443,4.65735,10.49593,10.49593,0,0,0,3.042,3.69788,21.36911,21.36911,0,0,0,6.71094,3.74725,42.70678,42.70678,0,0,0,11.0271,1.69836q3.202.20957,6.404.41907c1.01672.06653,2.33209-.06244,2.61475-1.04132.23346-.80847-.45539-1.56842-1.09833-2.11133a40.2389,40.2389,0,0,0-19.79022-8.9823C725.90764,438.8944,722.97118,438.72143,720.6245,437.19567Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M743.4099,465.38049q-2.30273-2.23307-4.60553-4.466c-1.493-1.44781-3.72979-2.98217-5.44079-1.8-.98346.6795-1.28675,2.0047-2.1203,2.86145a4.09448,4.09448,0,0,1-3.79731.90417,12.0832,12.0832,0,0,1-3.666-1.73761l-3.80951-2.36389q-1.97168-1.2235-3.94342-2.447l-2.96643,2.88293c.129-1.41876-1.76264-2.34051-3.07221-1.7796a4.74593,4.74593,0,0,0-2.36285,3.37757,18.47208,18.47208,0,0,1-1.13385,4.10675c-1.50629,2.88354-5.16333,3.73767-8.38055,4.22064s-6.86207,1.16315-8.584,3.92334c-1.43427,2.299-1.00464,5.251-.52533,7.918l1.81311,10.09a5.51461,5.51461,0,0,0,1.39374,3.29437c1.593,1.40594,4.0603.55115,6.00433-.30634a40.60143,40.60143,0,0,1,12.90418-3.73993,18.62233,18.62233,0,0,1,12.785,3.2746c2.30572,1.75549,4.06409,4.18591,6.50677,5.74512a12.90664,12.90664,0,0,0,11.289.98529,16.80847,16.80847,0,0,0,8.58581-7.65662,20.11323,20.11323,0,0,0-.43335-19.91089A39.47733,39.47733,0,0,0,743.4099,465.38049Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M738.88335,506.4887a2.71231,2.71231,0,0,0-.17224,3.21546,4.4432,4.4432,0,0,0,2.83832,1.82709,13.19065,13.19065,0,0,0,3.45123.15808l.03516-.86109a8.84169,8.84169,0,0,0-2.0213-4.07324C741.90233,505.69787,739.93706,505.37329,738.88335,506.4887Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M778.41552,507.4093l-.55011-.2013q-1.96491,2.96155-3.92969,5.9231c-.70483,1.06238-1.44043,2.33819-1.01044,3.53839.50891,1.42035,2.39045,1.83667,3.85175,1.4613a6.07688,6.07688,0,0,0,4.39441-4.8233A5.96666,5.96666,0,0,0,778.41552,507.4093Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M788.402,501.14331l-3.61652-2.87494q-.07242,2.0007-.145,4.00134l-.13568.00226a26.56389,26.56389,0,0,1,2.3573,2.34418c.8465.71966,2.26673,1.04888,2.99024.20568a1.89163,1.89163,0,0,0,.078-2.08746A5.55229,5.55229,0,0,0,788.402,501.14331Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M723.06768,376.064c-1.51746-.04749-3.197-.13971-4.373.8205a5.86674,5.86674,0,0,0-1.009,1.17651l-.41473.58044a15.95522,15.95522,0,0,0-1.61548,2.598,3.427,3.427,0,0,0-.21991,2.834,1.64326,1.64326,0,0,0,2.42517.69611c.64856-.60083.49713-1.6905.98742-2.42621a2.2668,2.2668,0,0,1,1.82593-.87311,12.00736,12.00736,0,0,1,2.085.23572,10.05966,10.05966,0,0,0,9.8451-15.37873l-.12213-.3728a4.49308,4.49308,0,0,0-4.55744,3.51325c-.33948,1.76806.38007,3.822-.69177,5.26849C726.329,375.95593,724.58507,376.11145,723.06768,376.064Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M736.65148,357.31939l-.23114-.02008a11.73054,11.73054,0,0,0-3.84827,1.4339,1.783,1.783,0,0,0-.87683.88934,1.29378,1.29378,0,0,0,.30628,1.19037,3.8171,3.8171,0,0,0,1.02038.768,6.07359,6.07359,0,0,0,1.85443.82953,2.05854,2.05854,0,0,0,1.89307-.4892,2.73529,2.73529,0,0,0,.44409-2.26678A11.91924,11.91924,0,0,0,736.65148,357.31939Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M713.26232,376.51434a5.84546,5.84546,0,0,0,.76141-1.892q.21231-.78077.4245-1.56152l-1.51257-.919a8.75981,8.75981,0,0,0-1.98,1.41156,2.95428,2.95428,0,0,0-.90845,2.18781,1.80619,1.80619,0,0,0,1.48486,1.68554A1.98383,1.98383,0,0,0,713.26232,376.51434Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M548.47674,235.85046c-.59833.37286-.42914,1.27417-.18647,1.936q.41795,1.13966.83576,2.27924l.38983-1.47485a3.13408,3.13408,0,0,0,.43115-1.902C549.81206,236.04058,549.03869,235.50024,548.47674,235.85046Z" transform="translate(-250.85824 -145.71065)" fill="#e6e6e6"/><path d="M926.14176,372.71065h-253a23.02589,23.02589,0,0,1-23-23v-181a23.02621,23.02621,0,0,1,23-23h253a23.0262,23.0262,0,0,1,23,23v181A23.02588,23.02588,0,0,1,926.14176,372.71065Z" transform="translate(-250.85824 -145.71065)" fill="#fff"/><path d="M926.14176,372.71065h-253a23.02589,23.02589,0,0,1-23-23v-181a23.02621,23.02621,0,0,1,23-23h253a23.0262,23.0262,0,0,1,23,23v181A23.02588,23.02588,0,0,1,926.14176,372.71065Zm-253-225a21.02359,21.02359,0,0,0-21,21v181a21.0239,21.0239,0,0,0,21,21h253a21.0239,21.0239,0,0,0,21-21v-181a21.02359,21.02359,0,0,0-21-21Z" transform="translate(-250.85824 -145.71065)" fill="#3f3d56"/><path d="M741.97641,173.26971h-40a4,4,0,0,1,0-8h40a4,4,0,0,1,0,8Z" transform="translate(-250.85824 -145.71065)" fill="#ccc"/><path d="M828.97641,263.26971h-127a4,4,0,0,1,0-8h127a4,4,0,1,1,0,8Z" transform="translate(-250.85824 -145.71065)" fill="#ccc"/><circle cx="473.61424" cy="65.48819" r="26.8189" fill="#6c63ff"/><rect x="447.11838" y="193.94675" width="6" height="2" fill="#3f3d56"/><path d="M880.14507,341.6574h-12.5835v-2h12.5835Zm-25.167,0h-12.5835v-2h12.5835Zm-25.167,0h-12.5835v-2h12.5835Zm-25.16651,0H792.06109v-2h12.58349Zm-25.167,0h-12.5835v-2h12.5835Zm-25.167,0H741.7271v-2h12.5835Zm-25.167,0h-12.5835v-2h12.5835Z" transform="translate(-250.85824 -145.71065)" fill="#3f3d56"/><rect x="641.87033" y="193.94675" width="6" height="2" fill="#3f3d56"/><rect x="543.95676" y="158.55906" width="5" height="34" fill="#6c63ff"/><rect x="594.95676" y="158.55906" width="5" height="34" fill="#6c63ff"/><rect x="619.95676" y="177.55906" width="5" height="15" fill="#6c63ff"/><rect x="568.95676" y="143.55906" width="5" height="49" fill="#6c63ff"/><circle cx="89.95676" cy="220.55906" r="6" fill="#6c63ff"/><circle cx="105.95676" cy="191.55906" r="6" fill="#6c63ff"/><circle cx="281.95676" cy="168.55906" r="6" fill="#6c63ff"/><polygon points="144.231 597.467 153.281 597.466 157.586 562.559 144.229 562.56 144.231 597.467" fill="#ffb6b6"/><path d="M394.77065,752.61813l27.82943-.001v-.35195a10.83259,10.83259,0,0,0-10.832-10.83182h-.00067l-5.0834-3.85653-9.4845,3.85712-2.42933.00008Z" transform="translate(-250.85824 -145.71065)" fill="#2f2e41"/><polygon points="212.231 597.467 221.281 597.466 225.586 562.559 212.229 562.56 212.231 597.467" fill="#ffb6b6"/><path d="M462.77065,752.61813l27.82943-.001v-.35195a10.83259,10.83259,0,0,0-10.832-10.83182h-.00067l-5.0834-3.85653-9.4845,3.85712-2.42933.00008Z" transform="translate(-250.85824 -145.71065)" fill="#2f2e41"/><path d="M394.73739,459.21654l16.0607-2.30042c5.43182,9.08278,7.3621,33.25826,7.3621,33.25826l15.71788,37.3585a7.16306,7.16306,0,1,1-11.16691,5.38L396.904,489.42915Z" transform="translate(-250.85824 -145.71065)" fill="#ffb6b6"/><path d="M403.44223,414.62858l0,0a17.118,17.118,0,0,0-13.523,22.61171l3.40824,9.66029s-4.29325,29.08717,2.78218,37.29777l21.71116-1.96535s-3.96951-14.6749-.922-21.77514c1.86635-4.34834,1.76268-19.36689-.07627-31.58417C415.4183,419.54475,412.76512,413.18476,403.44223,414.62858Z" transform="translate(-250.85824 -145.71065)" fill="#3f3d56"/><path d="M478.315,502.26971s16.73494,16.32076,13.16113,20.09035-11.74844,9.04976-4.16113,9.90968,10.73494,2.72411,4.16113,4.292-5.55782,5.59391-5.55782,5.59391,9.89669,47.114,2.39669,78.11407c0,0-4.17409,84.67176-6.79339,91.26584s-3.6193,2.59408-2.6193,6.59408,3-3,1,4a92.51753,92.51753,0,0,0-2.58731,11.14008l-19.56229-3s-3.14961-9.92748,0-12.53378,5.97493-1,2.56227-6.80315-4.41267,2.19685-3.41267-5.80315S453.72763,653.862,460.315,630.9958L448.14169,566.833,428.815,633.26971s-10.25127,81.14015-13.582,84-8.33071-2.1401-3.33071,2.8599,4.91269,4.14005,5,5c.93127,9.17239-27.69836-.85992-27.69836-.85992a51.364,51.364,0,0,0,0-7c-.30164-2.1401,3.30164-2.825,0-4.98253s1.61105-.01752,1.61105-.01752,7.383-59.85992,13-78l6.5-88.33656s.41266,1.76217,0-2.52066-3.41267-1.28283-.41267-4.28283,5-4.52869,3-6.76434-7.5172-6.75864-4.2586-9.49715,9.67123-20.59846,9.67123-20.59846l62.50006.5" transform="translate(-250.85824 -145.71065)" fill="#2f2e41"/><path d="M454.816,403.09591l-11.26937-12.68925-17.807,1.97855-11.40059,15.9549h0a24.33935,24.33935,0,0,0-18.5282,27.87941c4.42411,25.475,19.459,50.18273,14.49451,62.75218-7.53591,19.08011-7.99572,26.86185,10.04336,24.18682s78.47367-8.84181,66.75676-20.55872S472.815,471.3035,472.815,471.3035l-.46985-44.79438A19.90867,19.90867,0,0,0,454.816,403.09591Z" transform="translate(-250.85824 -145.71065)" fill="#3f3d56"/><path d="M451.73739,452.21654l16.0607-2.30042c5.43182,9.08278,7.3621,33.25826,7.3621,33.25826l15.71788,37.3585a7.16306,7.16306,0,1,1-11.16691,5.38L453.904,482.42915Z" transform="translate(-250.85824 -145.71065)" fill="#ffb6b6"/><path d="M460.44223,407.62858l0,0a17.118,17.118,0,0,0-13.523,22.61171l3.40824,9.66029s-4.29325,29.08717,2.78218,37.29777l21.71116-1.96535s-3.96951-14.6749-.922-21.77514c1.86635-4.34834,1.76268-19.36689-.07627-31.58417C472.4183,412.54475,469.76512,406.18476,460.44223,407.62858Z" transform="translate(-250.85824 -145.71065)" fill="#3f3d56"/><circle cx="178.8882" cy="222.08022" r="21.52319" fill="#ffb6b6"/><path d="M425.788,388.86014c5.99442-1.50178,6.19847-3.21485,12.19289-4.71663,1.90868-.47818,4.12018-1.2315,4.68591-3.11608a4.53926,4.53926,0,0,0-1.07805-3.90077,36.89886,36.89886,0,0,1-2.64988-3.25694A6.53728,6.53728,0,0,1,443.451,364.078c1.85435-.31734,3.76635.174,5.63258-.06371,2.55941-.326,6.324-9.822,4.68325-11.81313-1.59713-1.93821-4.21871-3.09463-5.0994-5.44662-.576-1.53832-.26112-3.25839-.5177-4.88085-.38043-2.40566-5.24841,4.255-4.60047,1.90725,1.58942-5.75926-25.30386-6.66626-28.1036.72241-1.04637,2.76146-3.87916,3.20024-6.05806,5.19349-1.42808,1.30639-4.8437,5.487-5.33893,7.74a16.33179,16.33179,0,0,0,.23157,6.86328c2.23354,10.526,5.92516,19.85478,15.75147,24.23986" transform="translate(-250.85824 -145.71065)" fill="#2f2e41"/><path d="M256.06,753.982l389.72564.30734a1.19069,1.19069,0,1,0,0-2.38137L256.06,751.60064a1.19069,1.19069,0,1,0,0,2.38137Z" transform="translate(-250.85824 -145.71065)" fill="#cacaca"/></svg>
\ No newline at end of file
diff --git a/src/frontend/src/assets/undraw_short_bio_re_fmx0.svg b/src/frontend/src/assets/undraw_short_bio_re_fmx0.svg
new file mode 100644
index 00000000000..95cbf86e667
--- /dev/null
+++ b/src/frontend/src/assets/undraw_short_bio_re_fmx0.svg
@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" data-name="Layer 1" width="625.64494" height="417.05929" viewBox="0 0 625.64494 417.05929" xmlns:xlink="http://www.w3.org/1999/xlink"><polygon points="85.4 405.79 96.832 405.789 102.269 361.693 85.396 361.695 85.4 405.79" fill="#ffb8b8"/><path d="M370.128,643.9928H406.0577a0,0,0,0,1,0,0v13.88195a0,0,0,0,1,0,0H384.00989A13.88193,13.88193,0,0,1,370.128,643.99281v0a0,0,0,0,1,0,0Z" transform="translate(489.06685 1060.36217) rotate(179.99483)" fill="#2f2e41"/><polygon points="177.4 405.79 188.832 405.789 194.269 361.693 177.396 361.695 177.4 405.79" fill="#ffb8b8"/><path d="M462.128,643.9928H498.0577a0,0,0,0,1,0,0v13.88195a0,0,0,0,1,0,0H476.00989A13.88193,13.88193,0,0,1,462.128,643.99281v0A0,0,0,0,1,462.128,643.9928Z" transform="translate(673.06685 1060.35387) rotate(179.99483)" fill="#2f2e41"/><path d="M370.10494,631.01988A4.49341,4.49341,0,0,1,365.69,627.3856l-7.34119-92.24511c-7.903-78.1167,5.62439-105.63721,5.762-105.90577l.14844-.29052.32532.019,63.45251,3.65186,13.46924,44.06L477.11056,524.513a43.3315,43.3315,0,0,1,8.52075,26.28663l-.90112,69.748a4.52634,4.52634,0,0,1-4.18738,4.43115l-18.58728,1.293a4.48515,4.48515,0,0,1-4.7865-4.00781l-4.6051-75.72461a.39027.39027,0,0,0-.10682-.20849l-52.805-49.21631a1.50066,1.50066,0,0,0-2.49621.49267l-5.32532,128.19483a4.44628,4.44628,0,0,1-1.103,3.38183,4.51,4.51,0,0,1-3.29211,1.52149l-17.24744.314C370.16024,631.01988,370.13241,631.01988,370.10494,631.01988Z" transform="translate(-287.17753 -241.47035)" fill="#2f2e41"/><circle cx="399.34472" cy="305.68027" r="32.04114" transform="translate(-384.86222 -12.46081) rotate(-28.66321)" fill="#2f2e41"/><path d="M536.9762,368.57457a9.37692,9.37692,0,0,0-13.45739,5.06347l-21.39441,1.19923-2.44223,13.17907,30.18926-2.11789a9.42779,9.42779,0,0,0,7.10477-17.32388Z" transform="translate(-287.17753 -241.47035)" fill="#ffb8b8"/><path d="M360.18855,477.31747a9.37694,9.37694,0,0,0-5.94813-13.09045l-2.62086-21.26712-13.31241-1.55944,4.123,29.9813a9.42779,9.42779,0,0,0,17.75843,5.93571Z" transform="translate(-287.17753 -241.47035)" fill="#ffb8b8"/><circle cx="110.76448" cy="74.01763" r="24.56103" fill="#ffb8b8"/><path d="M402.78463,441.29429c-13.06018,0-24.00427-1.05712-34.85815-4.9375-4.46827-1.59716-4.94581-3.57763-5.5741-6.05468-.98633-3.8877-1.5271-49.86621,3.5647-65.12549a22.90232,22.90232,0,0,1,18.97314-15.42822c4.84827-.57129,19.35046-2.6211,27.56348-3.792a15.51792,15.51792,0,0,1,11.44592,2.80371c2.177,1.63477,3.30737,3.39063,3.35986,5.21924l2.23169,77.73926a8.664,8.664,0,0,1-8.09,8.92578C416.38265,440.98375,409.8597,441.29429,402.78463,441.29429Z" transform="translate(-287.17753 -241.47035)" fill="#6c63ff"/><path d="M337.82015,460.33336a4.49989,4.49989,0,0,1-4.49548-4.67383l.78-35.65479a25.38989,25.38989,0,0,1,3.81738-12.43554l30.2655-48.54932a10.52921,10.52921,0,0,1,8.93262-4.936,10.41458,10.41458,0,0,1,8.89587,5.00244h0a10.50194,10.50194,0,0,1,.24744,10.53027l-29.35779,53.356,2.02088,32.748a4.49964,4.49964,0,0,1-4.48987,4.58057l-16.60657.03223Z" transform="translate(-287.17753 -241.47035)" fill="#6c63ff"/><path d="M517.1868,393.32687a4.45507,4.45507,0,0,1-3.18543,1.4998l-35.63052,1.88964a25.38339,25.38339,0,0,1-12.67741-2.87692l-50.67665-26.54961a10.48028,10.48028,0,0,1-1.26753-17.78351l.29231.40548-.29231-.40548a10.50027,10.50027,0,0,1,10.482-1.03433L479.634,373.75679l32.52917-4.46727a4.50016,4.50016,0,0,1,4.87914,4.13744l1.27443,16.55767c.00634.08288.01023.16533.01216.24771A4.45677,4.45677,0,0,1,517.1868,393.32687Z" transform="translate(-287.17753 -241.47035)" fill="#6c63ff"/><polygon points="92.571 70.539 86.199 53.332 114.851 45.039 135.33 51.332 135.33 70.539 92.571 70.539" fill="#2f2e41"/><path d="M409.868,273.21653a34.90653,34.90653,0,0,0-61.72687-19.11236c-6.02356,7.32094-8.80679,16.7392-10.84385,25.99824s-3.512,18.762-7.4673,27.37794S318.90113,323.924,309.6944,326.18576s-20.38861-2.83111-22.51687-12.06961a46.84536,46.84536,0,0,0,15.89785,32.751c7.97692,6.91794,21.0009,4.47181,28.85369-2.58672s11.73951-17.4174,15.10188-27.42658,6.6777-20.44546,13.81009-28.23122,27.34681-16.06095,36.50759-10.81033C404.53286,281.93,407.11075,279.31237,409.868,273.21653Z" transform="translate(-287.17753 -241.47035)" fill="#2f2e41"/><path d="M896.32247,478.02965h-348a16.51868,16.51868,0,0,1-16.5-16.5v-177a16.51867,16.51867,0,0,1,16.5-16.5h348a16.51866,16.51866,0,0,1,16.5,16.5v177A16.51867,16.51867,0,0,1,896.32247,478.02965Z" transform="translate(-287.17753 -241.47035)" fill="#e6e6e6"/><path d="M892.32247,466.02965h-340a8.50951,8.50951,0,0,1-8.5-8.5v-169a8.5095,8.5095,0,0,1,8.5-8.5h340a8.5095,8.5095,0,0,1,8.5,8.5v169A8.50951,8.50951,0,0,1,892.32247,466.02965Z" transform="translate(-287.17753 -241.47035)" fill="#fff"/><path d="M855.32253,441.52965h-266a8,8,0,1,1,0-16h266a8,8,0,0,1,0,16Z" transform="translate(-287.17753 -241.47035)" fill="#e6e6e6"/><path d="M855.32253,407.52965h-266a8,8,0,1,1,0-16h266a8,8,0,0,1,0,16Z" transform="translate(-287.17753 -241.47035)" fill="#e6e6e6"/><path d="M647.32247,368.15709h-58a8.50951,8.50951,0,0,1-8.5-8.5V317.4022a8.50951,8.50951,0,0,1,8.5-8.5h58a8.50951,8.50951,0,0,1,8.5,8.5v42.25489A8.50951,8.50951,0,0,1,647.32247,368.15709Z" transform="translate(-287.17753 -241.47035)" fill="#6c63ff"/><path d="M855.61781,363.52965h-135a8,8,0,1,1,0-16h135a8,8,0,0,1,0,16Z" transform="translate(-287.17753 -241.47035)" fill="#ccc"/><path d="M799.61781,329.52965h-79a8,8,0,1,1,0-16h79a8,8,0,0,1,0,16Z" transform="translate(-287.17753 -241.47035)" fill="#ccc"/><path d="M537.4957,658.52965h-198a1,1,0,1,1,0-2h198a1,1,0,0,1,0,2Z" transform="translate(-287.17753 -241.47035)" fill="#ccc"/></svg>
\ No newline at end of file
diff --git a/src/frontend/src/assets/undraw_team_collaboration_re_ow29.svg b/src/frontend/src/assets/undraw_team_collaboration_re_ow29.svg
new file mode 100644
index 00000000000..38bc4b3d574
--- /dev/null
+++ b/src/frontend/src/assets/undraw_team_collaboration_re_ow29.svg
@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" data-name="Layer 1" width="936.13137" height="505.29587" viewBox="0 0 936.13137 505.29587" xmlns:xlink="http://www.w3.org/1999/xlink"><path d="M191.22942,619.35948l-2.92,14.65c-.22,1.12-.45,2.26-.7,3.39a14.28772,14.28772,0,0,0-7.34.41,68.511,68.511,0,0,1,5.04,8.43c-1.84,5.67-4.54,10.91-9.06,14.7a22.71964,22.71964,0,0,1-21.95,3.86l.13-.58c-4.86-9.43-2.22-21.32,3.82-30.03a58.3846,58.3846,0,0,1,10.85-11.47c4.07995-3.4,8.49-6.45,12.86-9.46A5.99007,5.99007,0,0,1,191.22942,619.35948Z" transform="translate(-131.93432 -197.35206)" fill="#e4e4e4"/><path id="b311a411-101b-4365-a37b-2cdfec47a637-211" data-name="a4b268fa-75d0-4ac1-9d87-14bdca948464-2189" d="M155.33929,700.04932c-1.229-8.953-2.493-18.02-1.631-27.069.766-8.036,3.217-15.885,8.209-22.321a37.13173,37.13173,0,0,1,9.527-8.633c.953-.6,1.829.909.881,1.507a35.29987,35.29987,0,0,0-13.963,16.847c-3.04,7.732-3.528,16.161-3,24.374.317,4.967.988,9.9,1.665,14.83a.9.9,0,0,1-.61,1.074.878.878,0,0,1-1.074-.61Z" transform="translate(-131.93432 -197.35206)" fill="#f2f2f2"/><path d="M165.88665,250.986q64.2559-1.1173,128.52565-.321,64.26043.801,128.47773,3.52415,36.035,1.5282,72.04082,3.66151c1.92853.11411,1.92189-2.88628,0-3q-64.15339-3.79623-128.40043-5.6811-64.23792-1.8798-128.51292-1.83728-36.06741.024-72.13085.65375c-1.92833.03353-1.93442,3.03363,0,3Z" transform="translate(-131.93432 -197.35206)" fill="#e6e6e6"/><path d="M464.42206,232.1752l18.73149-1.39412c1.91356-.14242,1.92908-3.14357,0-3l-18.73149,1.39412c-1.91356.14242-1.92908,3.14358,0,3Z" transform="translate(-131.93432 -197.35206)" fill="#e6e6e6"/><path d="M464.42206,250.1752l18.73149-1.39412c1.91356-.14242,1.92908-3.14357,0-3l-18.73149,1.39412c-1.91356.14242-1.92908,3.14358,0,3Z" transform="translate(-131.93432 -197.35206)" fill="#e6e6e6"/><path d="M463.01309,241.955,489.645,244.3745c1.92205.17461,1.9102-2.82646,0-3L463.01309,238.955c-1.922-.17461-1.9102,2.82646,0,3Z" transform="translate(-131.93432 -197.35206)" fill="#e6e6e6"/><path d="M176.97218,228.14065a6.6356,6.6356,0,0,0-6.13315,4.00554,5.97374,5.97374,0,0,0,1.37464,7.09581,7.1022,7.1022,0,0,0,6.72877,1.367,6.00261,6.00261,0,0,0,4.02336-5.64266,6.70726,6.70726,0,0,0-4.17854-6.469,1.50605,1.50605,0,0,0-1.84518,1.04766,1.54254,1.54254,0,0,0,1.04766,1.84518c.26142.101-.23881-.1285.00529.00448.10036.05468.20261.10408.30116.16246.08379.04963.164.10394.2455.15713.28.18276-.13669-.13416.04228.03012.15522.14248.309.28149.45006.43871.05335.05944.26234.2247.09993.10919-.12426-.08838-.04792-.0676-.00005.00337.03634.05386.07477.10625.11066.16044a5.3458,5.3458,0,0,1,.31836.55036c.02205.04387.0422.08877.06462.13243.042.0818.10289.10324.00414.00077-.09435-.0979-.03428-.09121-.00052.003.02219.06193.04641.12308.068.18523a5.782,5.782,0,0,1,.17685.6173c.022.09655.03967.19367.05856.29082.067.34448-.00973-.21415.00645.04173.01352.21364.02927.425.02555.63949q-.00255.14723-.0128.29409c-.00345.04884-.00889.09755-.01211.14639-.01555.23538-.01606-.086.01688-.108a2.77013,2.77013,0,0,0-.13555.617c-.02687.09326-.05878.18448-.08868.27672-.10435.32182.098-.17543-.01323.04454a5.48681,5.48681,0,0,1-.30646.5497c-.04887.07423-.23316.24186-.08246.1252.16353-.1266-.08574.09141-.13893.14751q-.10248.10809-.21273.20867a1.70367,1.70367,0,0,1-.14877.1293c-.00954-.00479.25061-.17374.1104-.08432-.17824.11368-.347.23528-.53484.33425-.02187.01152-.262.12277-.261.12671-.01036-.0405.30871-.11234.08969-.04157-.046.01486-.09113.03281-.13695.04826a4.90024,4.90024,0,0,1-.60932.1623c-.04725.00941-.09723.01419-.14378.02623-.15506.0401.14818-.02352.15729-.01826a1.30824,1.30824,0,0,0-.34135.03022,5.5808,5.5808,0,0,1-.639-.00006c-.04925-.00282-.09838-.00773-.14761-.01059-.1143-.00664-.19817-.089-.04607.0004.11735.069.10759.01866.00362-.00054-.04862-.009-.09747-.01658-.14608-.0257a5.82144,5.82144,0,0,1-.624-.15284c-.11033-.03362-.21843-.07272-.32727-.11076a.86911.86911,0,0,1-.138-.05312c-.00066-.01235.28052.13436.13207.05436-.18737-.101-.38113-.18564-.56409-.296-.09763-.0589-.19141-.12294-.28634-.186a.9227.9227,0,0,1-.11872-.085c.00314-.01268.23256.1999.11213.08514-.1523-.14515-.31522-.27508-.45946-.42964-.033-.03535-.06421-.07236-.09709-.10779l-.03184-.03638q-.12195-.14906-.00451.00143c.07949.02342.07587.11067.00044-.00265-.02688-.04038-.05545-.07959-.08227-.12a3.13367,3.13367,0,0,1-.31006-.55366c.00731-.00569.12994.36093.03617.08426-.01772-.05227-.03764-.10369-.055-.15609q-.0517-.15588-.091-.31524c-.02593-.10523-.03924-.21379-.06539-.31859-.04409-.17666.02575.13937.01779.1315-.025-.02471-.01436-.17791-.01623-.21457-.012-.23537.01482-.46383.019-.69778.00327-.18124-.015.14125-.01878.1318a.5081.5081,0,0,1,.02848-.15932c.02715-.12339.05242-.24665.08566-.36867q.05709-.20957.13146-.414c.01852-.051.0411-.10125.05833-.15267.06313-.18837-.125.22748-.02127.05764.14271-.23369.249-.48658.40052-.71737.0359-.05471.25421-.35945.13835-.20559-.11539.15325.11857-.13721.16286-.18652.184-.20489.40037-.3731.59087-.56928.11276-.11613-.07871.05718-.09.06526.059-.04215.11677-.0859.1765-.12706q.15621-.10767.32008-.20359c.12306-.07215.26221-.12586.38148-.20218.1409-.09017-.10776.03958-.11221.04229a1.11642,1.11642,0,0,1,.20093-.07659c.11615-.04119.62132-.25917.72729-.191-.0048-.00309-.38358.03048-.07738.01081.07236-.00465.14442-.0117.2169-.0147.14658-.00607.29266-.0024.43909.0052a1.50993,1.50993,0,0,0,1.5-1.5,1.5333,1.5333,0,0,0-1.5-1.5Z" transform="translate(-131.93432 -197.35206)" fill="#e6e6e6"/><path d="M197.97218,228.14065a6.6356,6.6356,0,0,0-6.13315,4.00554,5.97374,5.97374,0,0,0,1.37464,7.09581,7.1022,7.1022,0,0,0,6.72877,1.367,6.00261,6.00261,0,0,0,4.02336-5.64266,6.70726,6.70726,0,0,0-4.17854-6.469,1.50605,1.50605,0,0,0-1.84518,1.04766,1.54254,1.54254,0,0,0,1.04766,1.84518c.26142.101-.23881-.1285.00529.00448.10036.05468.20261.10408.30116.16246.08379.04963.164.10394.2455.15713.28.18276-.13669-.13416.04228.03012.15522.14248.309.28149.45006.43871.05335.05944.26234.2247.09993.10919-.12426-.08838-.04792-.0676-.00005.00337.03634.05386.07477.10625.11066.16044a5.3458,5.3458,0,0,1,.31836.55036c.02205.04387.0422.08877.06462.13243.042.0818.10289.10324.00414.00077-.09435-.0979-.03428-.09121-.00052.003.02219.06193.04641.12308.068.18523a5.782,5.782,0,0,1,.17685.6173c.022.09655.03967.19367.05856.29082.067.34448-.00973-.21415.00645.04173.01352.21364.02927.425.02555.63949q-.00255.14723-.0128.29409c-.00345.04884-.00889.09755-.01211.14639-.01555.23538-.01606-.086.01688-.108a2.77013,2.77013,0,0,0-.13555.617c-.02687.09326-.05878.18448-.08868.27672-.10435.32182.098-.17543-.01323.04454a5.48681,5.48681,0,0,1-.30646.5497c-.04887.07423-.23316.24186-.08246.1252.16353-.1266-.08574.09141-.13893.14751q-.10248.10809-.21273.20867a1.70367,1.70367,0,0,1-.14877.1293c-.00954-.00479.25061-.17374.1104-.08432-.17824.11368-.347.23528-.53484.33425-.02187.01152-.262.12277-.261.12671-.01036-.0405.30871-.11234.08969-.04157-.046.01486-.09113.03281-.13695.04826a4.90024,4.90024,0,0,1-.60932.1623c-.04725.00941-.09723.01419-.14378.02623-.15506.0401.14818-.02352.15729-.01826a1.30824,1.30824,0,0,0-.34135.03022,5.5808,5.5808,0,0,1-.639-.00006c-.04925-.00282-.09838-.00773-.14761-.01059-.1143-.00664-.19817-.089-.04607.0004.11735.069.10759.01866.00362-.00054-.04862-.009-.09747-.01658-.14608-.0257a5.82144,5.82144,0,0,1-.624-.15284c-.11033-.03362-.21843-.07272-.32727-.11076a.86911.86911,0,0,1-.138-.05312c-.00066-.01235.28052.13436.13207.05436-.18737-.101-.38113-.18564-.56409-.296-.09763-.0589-.19141-.12294-.28634-.186a.9227.9227,0,0,1-.11872-.085c.00314-.01268.23256.1999.11213.08514-.1523-.14515-.31522-.27508-.45946-.42964-.033-.03535-.06421-.07236-.09709-.10779l-.03184-.03638q-.12195-.14906-.00451.00143c.07949.02342.07587.11067.00044-.00265-.02688-.04038-.05545-.07959-.08227-.12a3.13367,3.13367,0,0,1-.31006-.55366c.00731-.00569.12994.36093.03617.08426-.01772-.05227-.03764-.10369-.055-.15609q-.0517-.15588-.091-.31524c-.02593-.10523-.03924-.21379-.06539-.31859-.04409-.17666.02575.13937.01779.1315-.025-.02471-.01436-.17791-.01623-.21457-.012-.23537.01482-.46383.019-.69778.00327-.18124-.015.14125-.01878.1318a.5081.5081,0,0,1,.02848-.15932c.02715-.12339.05242-.24665.08566-.36867q.05709-.20957.13146-.414c.01852-.051.0411-.10125.05833-.15267.06313-.18837-.125.22748-.02127.05764.14271-.23369.249-.48658.40052-.71737.0359-.05471.25421-.35945.13835-.20559-.11539.15325.11857-.13721.16286-.18652.184-.20489.40037-.3731.59087-.56928.11276-.11613-.07871.05718-.09.06526.059-.04215.11677-.0859.1765-.12706q.15621-.10767.32008-.20359c.12306-.07215.26221-.12586.38148-.20218.1409-.09017-.10776.03958-.11221.04229a1.11642,1.11642,0,0,1,.20093-.07659c.11615-.04119.62132-.25917.72729-.191-.0048-.00309-.38358.03048-.07738.01081.07236-.00465.14442-.0117.2169-.0147.14658-.00607.29266-.0024.43909.0052a1.50993,1.50993,0,0,0,1.5-1.5,1.5333,1.5333,0,0,0-1.5-1.5Z" transform="translate(-131.93432 -197.35206)" fill="#e6e6e6"/><path d="M218.97218,228.14065a6.6356,6.6356,0,0,0-6.13315,4.00554,5.97374,5.97374,0,0,0,1.37464,7.09581,7.1022,7.1022,0,0,0,6.72877,1.367,6.00261,6.00261,0,0,0,4.02336-5.64266,6.70726,6.70726,0,0,0-4.17854-6.469,1.50605,1.50605,0,0,0-1.84518,1.04766,1.54254,1.54254,0,0,0,1.04766,1.84518c.26142.101-.23881-.1285.00529.00448.10036.05468.20261.10408.30116.16246.08379.04963.164.10394.2455.15713.28.18276-.13669-.13416.04228.03012.15522.14248.309.28149.45006.43871.05335.05944.26234.2247.09993.10919-.12426-.08838-.04792-.0676-.00005.00337.03634.05386.07477.10625.11066.16044a5.3458,5.3458,0,0,1,.31836.55036c.02205.04387.0422.08877.06462.13243.042.0818.10289.10324.00414.00077-.09435-.0979-.03428-.09121-.00052.003.02219.06193.04641.12308.068.18523a5.782,5.782,0,0,1,.17685.6173c.022.09655.03967.19367.05856.29082.067.34448-.00973-.21415.00645.04173.01352.21364.02927.425.02555.63949q-.00255.14723-.0128.29409c-.00345.04884-.00889.09755-.01211.14639-.01555.23538-.01606-.086.01688-.108a2.77013,2.77013,0,0,0-.13555.617c-.02687.09326-.05878.18448-.08868.27672-.10435.32182.098-.17543-.01323.04454a5.48681,5.48681,0,0,1-.30646.5497c-.04887.07423-.23316.24186-.08246.1252.16353-.1266-.08574.09141-.13893.14751q-.10248.10809-.21273.20867a1.70367,1.70367,0,0,1-.14877.1293c-.00954-.00479.25061-.17374.1104-.08432-.17824.11368-.347.23528-.53484.33425-.02187.01152-.262.12277-.261.12671-.01036-.0405.30871-.11234.08969-.04157-.046.01486-.09113.03281-.13695.04826a4.90024,4.90024,0,0,1-.60932.1623c-.04725.00941-.09723.01419-.14378.02623-.15506.0401.14818-.02352.15729-.01826a1.30824,1.30824,0,0,0-.34135.03022,5.5808,5.5808,0,0,1-.639-.00006c-.04925-.00282-.09838-.00773-.14761-.01059-.1143-.00664-.19817-.089-.04607.0004.11735.069.10759.01866.00362-.00054-.04862-.009-.09747-.01658-.14608-.0257a5.82144,5.82144,0,0,1-.624-.15284c-.11033-.03362-.21843-.07272-.32727-.11076a.86911.86911,0,0,1-.138-.05312c-.00066-.01235.28052.13436.13207.05436-.18737-.101-.38113-.18564-.56409-.296-.09763-.0589-.19141-.12294-.28634-.186a.9227.9227,0,0,1-.11872-.085c.00314-.01268.23256.1999.11213.08514-.1523-.14515-.31522-.27508-.45946-.42964-.033-.03535-.06421-.07236-.09709-.10779l-.03184-.03638q-.12195-.14906-.00451.00143c.07949.02342.07587.11067.00044-.00265-.02688-.04038-.05545-.07959-.08227-.12a3.13367,3.13367,0,0,1-.31006-.55366c.00731-.00569.12994.36093.03617.08426-.01772-.05227-.03764-.10369-.055-.15609q-.0517-.15588-.091-.31524c-.02593-.10523-.03924-.21379-.06539-.31859-.04409-.17666.02575.13937.01779.1315-.025-.02471-.01436-.17791-.01623-.21457-.012-.23537.01482-.46383.019-.69778.00327-.18124-.015.14125-.01878.1318a.5081.5081,0,0,1,.02848-.15932c.02715-.12339.05242-.24665.08566-.36867q.05709-.20957.13146-.414c.01852-.051.0411-.10125.05833-.15267.06313-.18837-.125.22748-.02127.05764.14271-.23369.249-.48658.40052-.71737.0359-.05471.25421-.35945.13835-.20559-.11539.15325.11857-.13721.16286-.18652.184-.20489.40037-.3731.59087-.56928.11276-.11613-.07871.05718-.09.06526.059-.04215.11677-.0859.1765-.12706q.15621-.10767.32008-.20359c.12306-.07215.26221-.12586.38148-.20218.1409-.09017-.10776.03958-.11221.04229a1.11642,1.11642,0,0,1,.20093-.07659c.11615-.04119.62132-.25917.72729-.191-.0048-.00309-.38358.03048-.07738.01081.07236-.00465.14442-.0117.2169-.0147.14658-.00607.29266-.0024.43909.0052a1.50993,1.50993,0,0,0,1.5-1.5,1.5333,1.5333,0,0,0-1.5-1.5Z" transform="translate(-131.93432 -197.35206)" fill="#e6e6e6"/><path d="M522.34554,560.35206H154.44027a17.56665,17.56665,0,0,1-17.54737-17.54687V214.89943a17.56708,17.56708,0,0,1,17.54737-17.54737H522.34554a17.56707,17.56707,0,0,1,17.54736,17.54737V542.80519A17.56664,17.56664,0,0,1,522.34554,560.35206Zm-367.90527-361a15.56509,15.56509,0,0,0-15.54737,15.54737V542.80519a15.565,15.565,0,0,0,15.54737,15.54687H522.34554a15.565,15.565,0,0,0,15.54736-15.54687V214.89943a15.56509,15.56509,0,0,0-15.54736-15.54737Z" transform="translate(-131.93432 -197.35206)" fill="#e6e6e6"/><path d="M153.83072,420.458l129.37919-.39354,128.71909-.39154,72.61077-.22087a1.5009,1.5009,0,0,0,0-3l-129.37919.39355-128.71909.39153-72.61077.22087a1.5009,1.5009,0,0,0,0,3Z" transform="translate(-131.93432 -197.35206)" fill="#e6e6e6"/><path d="M219.10043,418.02586l.8-47.237c.03271-1.93121-2.96728-1.93159-3,0l-.8,47.237c-.03271,1.93121,2.96728,1.93158,3,0Z" transform="translate(-131.93432 -197.35206)" fill="#e6e6e6"/><path d="M280.93574,418.537l1.94957-59.37448.557-16.96414c.06341-1.931-2.93667-1.92873-3,0l-1.94957,59.37448-.557,16.96414c-.06341,1.931,2.93667,1.92873,3,0Z" transform="translate(-131.93432 -197.35206)" fill="#e6e6e6"/><path d="M342.60417,314.05333c-1.17594,21.03-3.35188,83.05995-4.52782,104.08992-.10787,1.929,2.89248,1.92287,3,0,1.17594-21.03,3.35188-83.05994,4.52782-104.08992.10787-1.929-2.89247-1.92287-3,0Z" transform="translate(-131.93432 -197.35206)" fill="#e6e6e6"/><path d="M403.97576,397.04114l-.36774,20.21318c-.03514,1.93123,2.96486,1.9314,3,0,.43432-23.87319,1.54814-23.095,1.67072-29.83275.03513-1.93123-2.96487-1.9314-3,0C405.27874,387.42157,404.41008,373.168,403.97576,397.04114Z" transform="translate(-131.93432 -197.35206)" fill="#e6e6e6"/><path d="M464.08772,343.94069l.33928,56.70864.09715,16.23815a1.5009,1.5009,0,0,0,3,0l-.33928-56.70864-.09715-16.23815a1.5009,1.5009,0,0,0-3,0Z" transform="translate(-131.93432 -197.35206)" fill="#e6e6e6"/><path d="M154.07194,418.77029c-2.48323-6.82393,3.11451-13.38719,8.8663-16.33636,6.891-3.53328,14.81824-4.33414,21.78229-7.7403,10.38228-5.078,17.9444-14.19152,24.67329-23.31385,6.92579-9.38927,13.26278-19.46629,22.06318-27.26763a44.19424,44.19424,0,0,1,16.06871-9.29914c7.50226-2.34128,15.4588-2.50189,23.21086-1.55834,16.01863,1.94973,30.868,8.56585,46.324,12.77089,14.57206,3.96456,30.62763,6.194,44.9307.02889,7.2669-3.13229,13.20938-8.38563,19.59206-12.93164a65.29581,65.29581,0,0,1,20.40827-9.84464c14.35794-3.99257,30.03794-2.92647,43.40518,3.823a58.2428,58.2428,0,0,1,27.46977,28.99246c6.33716,15.13848,5.5121,32.05568,3.442,47.9899-.5351,4.11874-1.17191,8.22371-1.81565,12.32661-.29634,1.88872,2.594,2.70228,2.89284.79752,2.578-16.43077,5.14772-33.38193,1.94028-49.9161A60.45584,60.45584,0,0,0,456.995,330.915a62.04356,62.04356,0,0,0-40.91133-12.91137,67.07853,67.07853,0,0,0-22.47417,4.99833c-7.41935,3.06889-13.702,7.61753-20.08361,12.40377-6.56132,4.921-13.325,8.99143-21.47108,10.59636-7.90151,1.55675-16.12137.97319-23.98827-.49665-16.23236-3.03284-31.36257-9.98514-47.45717-13.54734-14.91163-3.30038-31.0026-3.63015-44.35545,4.79389-10.27143,6.48-17.52933,16.53993-24.49477,26.25395-6.90438,9.62885-13.89606,19.92529-23.99209,26.50286-6.15873,4.01242-13.08185,5.49293-19.97135,7.74936-6.90729,2.26225-13.53837,6.07871-16.35476,13.15546a12.79371,12.79371,0,0,0-.26184,9.15423c.655,1.79995,3.55524,1.02278,2.89283-.79752Z" transform="translate(-131.93432 -197.35206)" fill="#e6e6e6"/><polygon points="86.171 166.905 86.167 166.907 86.175 166.905 86.171 166.905" fill="#e6e6e6"/><path d="M223.30684,361.49757a5.96169,5.96169,0,0,0-7.22314-2.67334,5.24684,5.24684,0,0,0-2.98908,2.78314c-.05743.13605-.091.27912-.13787.41852-.065.1051-.14313.2-.20136.30994a5.95769,5.95769,0,0,0,9.29083,7.11792A6.41612,6.41612,0,0,0,223.30684,361.49757Zm-3.75726,2.54761c.01233.07574.00781.14532,0,0Zm-.3819-.86841c-.01471-.01691-.01287-.01507,0,0Zm-1.68335.67688c-.02252-.03467-.02472-.04047,0,0Zm.399.33826c.095.03235.05743.02557,0,0Zm.17816.0849.03949-.01807a.05015.05015,0,0,1-.02795-.00555l.00116-.00019.03094.00385.0058-.00263-.01788-.00415c.0155-.00054.01727.00159.01831.004.17846-.08172.05762-.04242-.04584-.01037l-.0069-.00159a.68136.68136,0,0,0-.20568-.066c-.0066-.00372-.01447-.00641-.02-.01038-.05744-.04089-.34772-.26764-.07843-.0299-.0586-.05176-.11652-.1026-.17164-.15845a.78291.78291,0,0,1-.088-.10815q-.053-.09091-.10278-.18342l-.005-.03326c-.00439-.02765-.00769-.03912-.01135-.05572.00171-.01716.00446-.03559.00714-.05347a.64632.64632,0,0,0,.03809-.16767l.0116-.01464c.04309-.06012.08081-.13025.12194-.19275-.2174.3302.085-.03644.10761-.08289.00384-.00793-.00287-.0036-.00122-.00909.00879-.00489.0061-.00153.01672-.00775.06738-.03968.13123-.08393.19965-.12183.08148-.04517.40246-.13629.06958-.04114.07562-.0216.14819-.04889.22461-.06885.01385-.0036.12591-.01928.18628-.03015.053-.00134.10443-.00293.10986-.00287.0249.00031.0498.00336.07471.00446-.05524.00739.18957.0603.26227.07147.01049.00824.01586.01355.03015.024.06146.04492.13623.08484.20111.12677-.2901-.1875.00378.01489.0592.07031.03314.03314.06366.06848.09485.10333a.8089.8089,0,0,1,.07727.106c.04755.08716.09815.17536.14813.26111l.01386.022a.08283.08283,0,0,0-.00043.00849,2.37222,2.37222,0,0,0,.11487.40777.33315.33315,0,0,1,.00568.03388c.00463.07617.011.1521.01116.2287l-.00067.0155A1.643,1.643,0,0,0,218.06148,364.27681Z" transform="translate(-131.93432 -197.35206)" fill="#e6e6e6"/><path d="M218.11458,364.2552c.00434.00134.00019.0011-.00079.00147Z" transform="translate(-131.93432 -197.35206)" fill="#e6e6e6"/><path d="M218.11348,364.25484l.0011.00036Z" transform="translate(-131.93432 -197.35206)" fill="#e6e6e6"/><path d="M218.11379,364.25667l-.00452.00073C218.115,364.258,218.11293,364.257,218.11379,364.25667Z" transform="translate(-131.93432 -197.35206)" fill="#e6e6e6"/><polygon points="86.177 166.902 86.177 166.902 86.179 166.903 86.177 166.902" fill="#e6e6e6"/><polygon points="150.171 138.905 150.167 138.907 150.175 138.905 150.171 138.905" fill="#e6e6e6"/><path d="M287.30684,333.49757a5.96169,5.96169,0,0,0-7.22314-2.67334,5.24684,5.24684,0,0,0-2.98908,2.78314c-.05743.13605-.091.27912-.13787.41852-.065.1051-.14313.2-.20136.30994a5.95769,5.95769,0,0,0,9.29083,7.11792A6.41612,6.41612,0,0,0,287.30684,333.49757Zm-3.75726,2.54761c.01233.07574.00781.14532,0,0Zm-.3819-.86841c-.01471-.01691-.01287-.01507,0,0Zm-1.68335.67688c-.02252-.03467-.02472-.04047,0,0Zm.399.33826c.095.03235.05743.02557,0,0Zm.17816.0849.03949-.01807a.05015.05015,0,0,1-.028-.00555l.00116-.00019.03094.00385.0058-.00263-.01788-.00415c.0155-.00054.01727.00159.01831.004.17846-.08172.05762-.04242-.04584-.01037l-.0069-.00159a.68136.68136,0,0,0-.20568-.066c-.0066-.00372-.01447-.00641-.02-.01038-.05744-.04089-.34772-.26764-.07843-.0299-.0586-.05176-.11652-.1026-.17164-.15845a.78291.78291,0,0,1-.088-.10815q-.053-.09091-.10278-.18342l-.005-.03326c-.00439-.02765-.00769-.03912-.01135-.05572.00171-.01716.00446-.03559.00714-.05347a.64632.64632,0,0,0,.03809-.16767l.0116-.01464c.04309-.06012.08081-.13025.12194-.19275-.2174.3302.085-.03644.10761-.08289.00384-.00793-.00287-.0036-.00122-.00909.00879-.00489.0061-.00153.01672-.00775.06738-.03968.13123-.08393.19965-.12183.08148-.04517.40246-.13629.06958-.04114.07562-.0216.14819-.04889.22461-.06885.01385-.0036.12591-.01928.18628-.03015.053-.00134.10443-.00293.10986-.00287.0249.00031.0498.00336.07471.00446-.05524.00739.18957.0603.26227.07147.01049.00824.01586.01355.03015.024.06146.04492.13623.08484.20111.12677-.2901-.1875.00378.01489.0592.07031.03314.03314.06366.06848.09485.10333a.8089.8089,0,0,1,.07727.106c.04755.08716.09815.17536.14813.26111l.01386.022a.08283.08283,0,0,0-.00043.00849,2.37222,2.37222,0,0,0,.11487.40777.33315.33315,0,0,1,.00568.03388c.00463.07617.011.1521.01116.2287l-.00067.0155A1.643,1.643,0,0,0,282.06148,336.27681Z" transform="translate(-131.93432 -197.35206)" fill="#e6e6e6"/><path d="M282.11379,336.25667l-.00452.00073C282.115,336.258,282.11293,336.257,282.11379,336.25667Z" transform="translate(-131.93432 -197.35206)" fill="#e6e6e6"/><polygon points="150.177 138.902 150.177 138.902 150.179 138.903 150.177 138.902" fill="#e6e6e6"/><path d="M282.11458,336.2552c.00434.00134.00019.0011-.00079.00147Z" transform="translate(-131.93432 -197.35206)" fill="#e6e6e6"/><path d="M282.11348,336.25484l.0011.00036Z" transform="translate(-131.93432 -197.35206)" fill="#e6e6e6"/><polygon points="212.177 152.902 212.177 152.902 212.179 152.903 212.177 152.902" fill="#e6e6e6"/><path d="M349.30684,305.49757a5.96169,5.96169,0,0,0-7.22314-2.67334,5.24684,5.24684,0,0,0-2.98908,2.78314c-.05743.13605-.091.27912-.13787.41852-.065.1051-.14313.2-.20136.30994a5.95769,5.95769,0,0,0,9.29083,7.11792A6.41612,6.41612,0,0,0,349.30684,305.49757Zm-3.75726,2.54761c.01233.07574.00781.14532,0,0Zm-.3819-.86841c-.01471-.01691-.01287-.01507,0,0Zm-1.68335.67688c-.02252-.03467-.02472-.04047,0,0Zm.399.33826c.095.03235.05743.02557,0,0Zm.17816.0849.03949-.01807a.05015.05015,0,0,1-.028-.00555l.00116-.00019.03094.00385.0058-.00263-.01788-.00415c.0155-.00054.01727.00159.01831.004.17846-.08172.05762-.04242-.04584-.01037l-.0069-.00159a.68136.68136,0,0,0-.20568-.066c-.0066-.00372-.01447-.00641-.02-.01038-.05744-.04089-.34772-.26764-.07843-.0299-.0586-.05176-.11652-.1026-.17164-.15845a.78291.78291,0,0,1-.088-.10815q-.053-.09091-.10278-.18342l-.005-.03326c-.00439-.02765-.00769-.03912-.01135-.05572.00171-.01716.00446-.03559.00714-.05347a.64632.64632,0,0,0,.03809-.16767l.0116-.01464c.04309-.06012.08081-.13025.12194-.19275-.2174.3302.085-.03644.10761-.08289.00384-.00793-.00287-.0036-.00122-.00909.00879-.00489.0061-.00153.01672-.00775.06738-.03968.13123-.08393.19965-.12183.08148-.04517.40246-.13629.06958-.04114.07562-.0216.14819-.04889.22461-.06885.01385-.0036.12591-.01928.18628-.03015.053-.00134.10443-.00293.10986-.00287.0249.00031.0498.00336.07471.00446-.05524.00739.18957.0603.26227.07147.01049.00824.01586.01355.03015.024.06146.04492.13623.08484.20111.12677-.2901-.1875.00378.01489.0592.07031.03314.03314.06366.06848.09485.10333a.8089.8089,0,0,1,.07727.106c.04755.08716.09815.17536.14813.26111l.01386.022a.08283.08283,0,0,0-.00043.00849,2.37222,2.37222,0,0,0,.11487.40777.33315.33315,0,0,1,.00568.03388c.00463.07617.011.1521.01116.2287l-.00067.0155A1.643,1.643,0,0,0,344.06148,308.27681Z" transform="translate(-131.93432 -197.35206)" fill="#e6e6e6"/><polygon points="212.171 152.905 212.167 152.907 212.175 152.905 212.171 152.905" fill="#e6e6e6"/><path d="M344.11348,350.25484l.0011.00036Z" transform="translate(-131.93432 -197.35206)" fill="#e6e6e6"/><path d="M344.11379,350.25667l-.00452.00073C344.115,350.258,344.11293,350.257,344.11379,350.25667Z" transform="translate(-131.93432 -197.35206)" fill="#e6e6e6"/><path d="M344.11458,350.2552c.00434.00134.00019.0011-.00079.00147Z" transform="translate(-131.93432 -197.35206)" fill="#e6e6e6"/><path d="M412.30684,382.49757a5.96169,5.96169,0,0,0-7.22314-2.67334,5.24684,5.24684,0,0,0-2.98908,2.78314c-.05743.13605-.091.27912-.13787.41852-.065.1051-.14313.2-.20136.30994a5.95769,5.95769,0,0,0,9.29083,7.11792A6.41612,6.41612,0,0,0,412.30684,382.49757Zm-3.75726,2.54761c.01233.07574.00781.14532,0,0Zm-.3819-.86841c-.01471-.01691-.01287-.01507,0,0Zm-1.68335.67688c-.02252-.03467-.02472-.04047,0,0Zm.399.33826c.095.03235.05743.02557,0,0Zm.17816.0849.03949-.01807a.05015.05015,0,0,1-.028-.00555l.00116-.00019.03094.00385.0058-.00263-.01788-.00415c.0155-.00054.01727.00159.01831.004.17846-.08172.05762-.04242-.04584-.01037l-.0069-.00159a.68136.68136,0,0,0-.20568-.066c-.0066-.00372-.01447-.00641-.02-.01038-.05744-.04089-.34772-.26764-.07843-.0299-.0586-.05176-.11652-.1026-.17164-.15845a.78291.78291,0,0,1-.088-.10815q-.053-.09091-.10278-.18342l-.005-.03326c-.00439-.02765-.00769-.03912-.01135-.05572.00171-.01716.00446-.03559.00714-.05347a.64632.64632,0,0,0,.03809-.16767l.0116-.01464c.04309-.06012.08081-.13025.12194-.19275-.2174.3302.085-.03644.10761-.08289.00384-.00793-.00287-.0036-.00122-.00909.00879-.00489.0061-.00153.01672-.00775.06738-.03968.13123-.08393.19965-.12183.08148-.04517.40246-.13629.06958-.04114.07562-.0216.14819-.04889.22461-.06885.01385-.0036.12591-.01928.18628-.03015.053-.00134.10443-.00293.10986-.00287.0249.00031.0498.00336.07471.00446-.05524.00739.18957.0603.26227.07147.01049.00824.01586.01355.03015.024.06146.04492.13623.08484.20111.12677-.2901-.1875.00378.01489.0592.07031.03314.03314.06366.06848.09485.10333a.8089.8089,0,0,1,.07727.106c.04755.08716.09815.17536.14813.26111l.01386.022a.08283.08283,0,0,0-.00043.00849,2.37222,2.37222,0,0,0,.11487.40777.33315.33315,0,0,1,.00568.03388c.00463.07617.011.1521.01116.2287l-.00067.0155A1.643,1.643,0,0,0,407.06148,385.27681Z" transform="translate(-131.93432 -197.35206)" fill="#e6e6e6"/><polygon points="275.171 121.905 275.167 121.907 275.175 121.905 275.171 121.905" fill="#e6e6e6"/><path d="M407.11348,319.25484l.0011.00036Z" transform="translate(-131.93432 -197.35206)" fill="#e6e6e6"/><path d="M407.11379,319.25667l-.00452.00073C407.115,319.258,407.11293,319.257,407.11379,319.25667Z" transform="translate(-131.93432 -197.35206)" fill="#e6e6e6"/><path d="M407.11458,319.2552c.00434.00134.00019.0011-.00079.00147Z" transform="translate(-131.93432 -197.35206)" fill="#e6e6e6"/><polygon points="275.177 121.902 275.177 121.902 275.179 121.903 275.177 121.902" fill="#e6e6e6"/><path d="M466.11348,339.25484l.0011.00036Z" transform="translate(-131.93432 -197.35206)" fill="#e6e6e6"/><path d="M471.30684,336.49757a5.96169,5.96169,0,0,0-7.22314-2.67334,5.24684,5.24684,0,0,0-2.98908,2.78314c-.05743.13605-.091.27912-.13787.41852-.065.1051-.14313.2-.20136.30994a5.95769,5.95769,0,0,0,9.29083,7.11792A6.41612,6.41612,0,0,0,471.30684,336.49757Zm-3.75726,2.54761c.01233.07574.00781.14532,0,0Zm-.3819-.86841c-.01471-.01691-.01287-.01507,0,0Zm-1.68335.67688c-.02252-.03467-.02472-.04047,0,0Zm.399.33826c.095.03235.05743.02557,0,0Zm.17816.0849.03949-.01807a.05015.05015,0,0,1-.028-.00555l.00116-.00019.03094.00385.0058-.00263-.01788-.00415c.0155-.00054.01727.00159.01831.004.17846-.08172.05762-.04242-.04584-.01037l-.0069-.00159a.68136.68136,0,0,0-.20568-.066c-.0066-.00372-.01447-.00641-.02-.01038-.05744-.04089-.34772-.26764-.07843-.0299-.0586-.05176-.11652-.1026-.17164-.15845a.78291.78291,0,0,1-.088-.10815q-.053-.09091-.10278-.18342l-.005-.03326c-.00439-.02765-.00769-.03912-.01135-.05572.00171-.01716.00446-.03559.00714-.05347a.64632.64632,0,0,0,.03809-.16767l.0116-.01464c.04309-.06012.08081-.13025.12194-.19275-.2174.3302.085-.03644.10761-.08289.00384-.00793-.00287-.0036-.00122-.00909.00879-.00489.0061-.00153.01672-.00775.06738-.03968.13123-.08393.19965-.12183.08148-.04517.40246-.13629.06958-.04114.07562-.0216.14819-.04889.22461-.06885.01385-.0036.12591-.01928.18628-.03015.053-.00134.10443-.00293.10986-.00287.0249.00031.0498.00336.07471.00446-.05524.00739.18957.0603.26227.07147.01049.00824.01586.01355.03015.024.06146.04492.13623.08484.20111.12677-.2901-.1875.00378.01489.0592.07031.03314.03314.06366.06848.09485.10333a.8089.8089,0,0,1,.07727.106c.04755.08716.09815.17536.14813.26111l.01386.022a.08283.08283,0,0,0-.00043.00849,2.37222,2.37222,0,0,0,.11487.40777.33315.33315,0,0,1,.00568.03388c.00463.07617.011.1521.01116.2287l-.00067.0155A1.643,1.643,0,0,0,466.06148,339.27681Z" transform="translate(-131.93432 -197.35206)" fill="#e6e6e6"/><polygon points="334.171 141.905 334.167 141.907 334.175 141.905 334.171 141.905" fill="#e6e6e6"/><polygon points="334.177 141.902 334.177 141.902 334.179 141.903 334.177 141.902" fill="#e6e6e6"/><path d="M466.11458,339.2552c.00434.00134.00019.0011-.00079.00147Z" transform="translate(-131.93432 -197.35206)" fill="#e6e6e6"/><path d="M466.11379,339.25667l-.00452.00073C466.115,339.258,466.11293,339.257,466.11379,339.25667Z" transform="translate(-131.93432 -197.35206)" fill="#e6e6e6"/><path d="M449.9376,385.08528l-46.49682,2.58432a1.02517,1.02517,0,0,1-.2217-2.03544l47.52456-7.73334Z" transform="translate(-131.93432 -197.35206)" fill="#3f3d56"/><path d="M509.02823,488.60148l17.52161-29.4782,12.95055,6.11652s-22.31534,27.8716-23.02629,28.67345a6.857,6.857,0,1,1-7.44587-5.31177Z" transform="translate(-131.93432 -197.35206)" fill="#ffb6b6"/><path d="M516.31671,420.1259l28.38759,14.81061a15.7158,15.7158,0,0,1,2.66026,23.07858l-19.5701,22.4493-8.5256-11.55273,6.57123-13.73984-12.72381-3.35516Z" transform="translate(-131.93432 -197.35206)" fill="#6c63ff"/><path d="M435.41987,385.56689,432.22247,419.71l-14.32229.02391s8.21712-34.74593,8.51582-35.7751a6.857,6.857,0,1,1,9.00387,1.60813Z" transform="translate(-131.93432 -197.35206)" fill="#ffb6b6"/><path d="M463.92912,455.38874l-32.96452-6.04537c-13.88142-1.66929-19.57814-10.80283-17.07345-19.71158l8.06061-28.6703,12.65411,6.78416-.04865,15.2303,17.71307-2.42166Z" transform="translate(-131.93432 -197.35206)" fill="#6c63ff"/><polygon points="318.501 493.992 309.437 493.992 305.125 459.03 318.503 459.03 318.501 493.992" fill="#ffb6b6"/><path d="M450.75485,700.80015l-27.87342-.00105v-.3525a10.84971,10.84971,0,0,1,10.84911-10.84894h.00068l5.09143-3.86263,9.4995,3.86322,2.43317.00008Z" transform="translate(-131.93432 -197.35206)" fill="#2f2e41"/><polygon points="382.636 493.992 391.7 493.992 396.012 459.03 382.634 459.03 382.636 493.992" fill="#ffb6b6"/><path d="M514.251,700.80015l27.87342-.00105v-.3525a10.8497,10.8497,0,0,0-10.84911-10.84894h-.00067l-5.09144-3.86263-9.4995,3.86322-2.43317.00008Z" transform="translate(-131.93432 -197.35206)" fill="#2f2e41"/><path d="M436.6606,630.69c.13386-1.99494,1.19824-13.02767,1.19824-13.02767l2.54945-23.39757,4.49339-62.02167,4.00519-16.30232,19.82578,7.72341,16.087-7.71206,19.12086,6.11232,14.88876,5.58329s.02548,2.39011.1402,5.27738c.153,3.77959.42064,8.41318,1.058,9.6178,1.06439,2.12881.79671,13.5567.79671,13.5567s1.058,23.25095,2.3901,25.80039,1.59975,7.85869,1.19825,8.92307,1.3321,28.9872,1.3321,28.9872,4.44946,49.413,1.65781,56.8638-13.34066,2.57019-13.34066,2.57019.50988-1.98857-2.54945-2.92551-12.3776-71.00212-12.3776-71.00212-1.7336-14.36616-3.327-18.48349-3.05932-15.68547-3.05932-15.68547-9.84087-19.14637-9.96835-23.40394c0,0-1.28749-3.98351-2.50483.40154s-4.80569,14.88876-4.80569,14.88876l-3.49911,12.90016L467.85305,595.208l-2.66417,16.22725s-3.98989,21.53644-4.62725,22.467,0,20.60592,0,20.60592-3.08481,16.75623-7.44439,19.68174-15.90977.04646-15.90977.04646S436.52674,632.6849,436.6606,630.69Z" transform="translate(-131.93432 -197.35206)" fill="#2f2e41"/><path d="M451.48141,463.4844l-2.53328,32.81806-3.8061,3.939a3.67047,3.67047,0,0,0,.19226,5.286h0l-2.09691,3.59581-.74242,11.33014a6.15824,6.15824,0,0,0,5.69891,7.58983l65.63208,3.08345a6.15823,6.15823,0,0,0,6.39361-6.96235l-5.58086-42.01386V479.009l-2.49845-6.06691,1.28412-20.32414,2.98692-32.25875-17.36244-4.48476-9.41385-6.47691-16.35468.26039-9.92373,8.15016L450.125,419.88027l-10.00658,1.98907-1.27473,2.77028,2.54945-.55406,9.24061,36.04127Z" transform="translate(-131.93432 -197.35206)" fill="#6c63ff"/><circle cx="349.15767" cy="188.3819" r="19.26595" fill="#ffb6b6"/><path d="M476.447,403.75706l13.9197-.71c1.78357-.091,3.73022-.2485,5.02752-1.47587a7.61645,7.61645,0,0,0,1.57785-2.62117c1.28687-2.98916,2.57378-5.97839,3.82778-8.9815,1.73455-4.15394,3.43808-8.53993,2.99533-13.01965a8.28531,8.28531,0,0,0-2.40838-5.43091,4.59943,4.59943,0,0,0-5.5901-.56644,9.45237,9.45237,0,0,0-4.692-6.81251,14.4862,14.4862,0,0,0-8.26222-1.75172,19.94078,19.94078,0,0,0-11.35626,4.47585,24.64986,24.64986,0,0,1-2.89711,2.29575,4.5479,4.5479,0,0,1-3.53584.65422,2.55893,2.55893,0,0,1-1.87846-2.78916,4.92343,4.92343,0,0,0-1.25935,6.49978,4.54324,4.54324,0,0,1-4.44025-.5253,5.42846,5.42846,0,1,0,5.69282,9.18831c.84481,1.18329.5302,2.79132.42013,4.24107s.27874,3.25148,1.67635,3.65218c1.88945.5417,3.4199-2.0024,5.38528-1.9753a2.95555,2.95555,0,0,1,2.34381,1.51036,8.7243,8.7243,0,0,1,.93824,2.73911l2.51535,11.324" transform="translate(-131.93432 -197.35206)" fill="#2f2e41"/><path d="M1019.19147,576.98891c0-2.98336-1.0019-5.40458-2.232-5.41012H681.61475c-1.23566.00554-2.232,2.42676-2.23753,5.41012V699.79837a1.11465,1.11465,0,0,1-1.00673,1.10966q-1.3501.12958-2.7002.24121c-.02229,0-.04454.00558-.06683.00558-.48977.0445-.97958.07789-1.46939.11686h-.00557q-.37793-.69876-.7471-1.4097a1.1195,1.1195,0,0,1-.12676-.51712V569.97022c0-.82379.03339-1.65312.089-2.4713a31.661,31.661,0,0,1,.41745-3.35073c.94065-5.17078,3.06686-8.67181,5.48251-8.68292h340.08141a2.6062,2.6062,0,0,1,1.02412.217,3.99262,3.99262,0,0,1,1.26349.885,7.83147,7.83147,0,0,1,1.24121,1.69761,22.34258,22.34258,0,0,1,2.34329,8.86661c0,.03339.00557.06679.00557.10018.07793.90172.11686,1.82009.11132,2.73849l.0779,11.92789.05011,7.11331.15029,22.3196.05565,7.926.2449,81.37464h0a1.1132,1.1132,0,0,1-1.11319,1.1132h-4.475a1.1132,1.1132,0,0,1-1.1132-1.1132Z" transform="translate(-131.93432 -197.35206)" fill="#e6e6e6"/><path d="M928.06752,499.652h-36.134a1.928,1.928,0,0,0-1.925,1.93v57.08105h39.989V501.582A1.929,1.929,0,0,0,928.06752,499.652ZM910.1221,532.08476a4.28685,4.28685,0,0,1-4.26683-4.26681v-6.5838a4.26681,4.26681,0,0,1,8.53363,0v6.5838a4.28679,4.28679,0,0,1-4.2668,4.26681Z" transform="translate(-131.93432 -197.35206)" fill="#ccc"/><path d="M889.88448,556.83725v5.50719a1.07883,1.07883,0,0,0,1.07664,1.07662h38.08381a1.08205,1.08205,0,0,0,1.07662-1.07662v-5.50719Z" transform="translate(-131.93432 -197.35206)" fill="#3f3d56"/><path d="M987.90215,410.57058H833.44347a5.01407,5.01407,0,0,0-5.00608,5.00605V519.806a5.01087,5.01087,0,0,0,5.00608,5.006H987.90215a5.01086,5.01086,0,0,0,5.00607-5.006V415.57663A5.01406,5.01406,0,0,0,987.90215,410.57058Z" transform="translate(-131.93432 -197.35206)" fill="#e6e6e6"/><path d="M986.61286,414.18638H834.734a2.68306,2.68306,0,0,0-2.67724,2.6828V518.51512a2.68185,2.68185,0,0,0,2.67724,2.67723H986.61286a2.68184,2.68184,0,0,0,2.67723-2.67723V416.86918A2.68306,2.68306,0,0,0,986.61286,414.18638Z" transform="translate(-131.93432 -197.35206)" fill="#fff"/><path d="M957.02942,565.3374H866.66975a1.66223,1.66223,0,0,1-1.62659-2.00462l1.4021-6.65907a1.6694,1.6694,0,0,1,1.62631-1.31974h87.556a1.66942,1.66942,0,0,1,1.62631,1.31974l1.40209,6.65907a1.66222,1.66222,0,0,1-1.62658,2.00462Z" transform="translate(-131.93432 -197.35206)" fill="#ccc"/><rect x="736.77892" y="359.20098" width="2.78299" height="1.66979" rx="0.48819" fill="#e6e6e6"/><rect x="742.3449" y="359.20098" width="2.78299" height="1.66979" rx="0.48819" fill="#e6e6e6"/><rect x="747.91088" y="359.20098" width="2.78299" height="1.66979" rx="0.48819" fill="#e6e6e6"/><rect x="753.47686" y="359.20098" width="2.78299" height="1.66979" rx="0.48819" fill="#e6e6e6"/><rect x="759.04284" y="359.20098" width="2.78299" height="1.66979" rx="0.48819" fill="#e6e6e6"/><rect x="764.60882" y="359.20098" width="2.78299" height="1.66979" rx="0.48819" fill="#e6e6e6"/><rect x="770.1748" y="359.20098" width="2.78299" height="1.66979" rx="0.48819" fill="#e6e6e6"/><rect x="775.74078" y="359.20098" width="2.78299" height="1.66979" rx="0.48819" fill="#e6e6e6"/><rect x="781.30676" y="359.20098" width="2.78299" height="1.66979" rx="0.48819" fill="#e6e6e6"/><rect x="786.87274" y="359.20098" width="2.78299" height="1.66979" rx="0.48819" fill="#e6e6e6"/><rect x="792.43872" y="359.20098" width="2.78299" height="1.66979" rx="0.48819" fill="#e6e6e6"/><rect x="798.0047" y="359.20098" width="2.78299" height="1.66979" rx="0.48819" fill="#e6e6e6"/><rect x="803.57069" y="359.20098" width="2.78299" height="1.66979" rx="0.48819" fill="#e6e6e6"/><rect x="809.13667" y="359.20098" width="2.78299" height="1.66979" rx="0.48819" fill="#e6e6e6"/><rect x="814.70265" y="359.20098" width="2.78299" height="1.66979" rx="0.48819" fill="#e6e6e6"/><rect x="820.26863" y="359.20098" width="2.78299" height="1.66979" rx="0.48819" fill="#e6e6e6"/><rect x="736.71315" y="361.98397" width="2.78299" height="1.66979" rx="0.48819" fill="#e6e6e6"/><rect x="742.27913" y="361.98397" width="2.78299" height="1.66979" rx="0.48819" fill="#e6e6e6"/><rect x="747.84511" y="361.98397" width="2.78299" height="1.66979" rx="0.48819" fill="#e6e6e6"/><rect x="753.41109" y="361.98397" width="2.78299" height="1.66979" rx="0.48819" fill="#e6e6e6"/><rect x="758.97707" y="361.98397" width="2.78299" height="1.66979" rx="0.48819" fill="#e6e6e6"/><rect x="764.54305" y="361.98397" width="2.78299" height="1.66979" rx="0.48819" fill="#e6e6e6"/><rect x="770.10903" y="361.98397" width="2.78299" height="1.66979" rx="0.48819" fill="#e6e6e6"/><rect x="775.67501" y="361.98397" width="2.78299" height="1.66979" rx="0.48819" fill="#e6e6e6"/><rect x="781.24099" y="361.98397" width="2.78299" height="1.66979" rx="0.48819" fill="#e6e6e6"/><rect x="786.80697" y="361.98397" width="2.78299" height="1.66979" rx="0.48819" fill="#e6e6e6"/><rect x="792.37295" y="361.98397" width="2.78299" height="1.66979" rx="0.48819" fill="#e6e6e6"/><rect x="797.93893" y="361.98397" width="2.78299" height="1.66979" rx="0.48819" fill="#e6e6e6"/><rect x="803.50492" y="361.98397" width="2.78299" height="1.66979" rx="0.48819" fill="#e6e6e6"/><rect x="809.0709" y="361.98397" width="2.78299" height="1.66979" rx="0.48819" fill="#e6e6e6"/><rect x="814.63688" y="361.98397" width="2.78299" height="1.66979" rx="0.48819" fill="#e6e6e6"/><rect x="820.20286" y="361.98397" width="2.78299" height="1.66979" rx="0.48819" fill="#e6e6e6"/><rect x="763.42985" y="365.32356" width="22.26392" height="1.66979" rx="0.48819" fill="#e6e6e6"/><path d="M978.97816,428.19092H836.86568a.56528.56528,0,0,1,0-1.13028H978.97816a.56528.56528,0,0,1,0,1.13028Z" transform="translate(-131.93432 -197.35206)" fill="#cacaca"/><ellipse cx="714.60514" cy="223.43727" rx="3.312" ry="3.38581" fill="#ccc"/><ellipse cx="726.04658" cy="223.43727" rx="3.312" ry="3.38581" fill="#ccc"/><ellipse cx="737.48802" cy="223.43727" rx="3.312" ry="3.38581" fill="#ccc"/><path d="M972.08945,418.24274H963.962a.61551.61551,0,0,0,0,1.23078h8.12741a.61551.61551,0,0,0,0-1.23078Z" transform="translate(-131.93432 -197.35206)" fill="#ccc"/><path d="M972.08945,420.55272H963.962a.61552.61552,0,0,0,0,1.23079h8.12741a.61552.61552,0,0,0,0-1.23079Z" transform="translate(-131.93432 -197.35206)" fill="#ccc"/><path d="M972.08945,422.85968H963.962a.61551.61551,0,0,0,0,1.23078h8.12741a.61551.61551,0,0,0,0-1.23078Z" transform="translate(-131.93432 -197.35206)" fill="#ccc"/><rect x="767.289" y="261.62867" width="22.58782" height="4.83014" rx="2.41507" fill="#6c63ff"/><rect x="755.81742" y="271.28894" width="45.53098" height="4.83014" rx="2.41507" fill="#e6e6e6"/><rect x="755.81742" y="280.94922" width="45.53098" height="4.83014" rx="2.41507" fill="#e6e6e6"/><polygon points="524.726 431.447 516.54 427.531 527.785 393.314 539.867 399.092 524.726 431.447" fill="#ffb6b6"/><path d="M711.54262,623.28229c-.59529.37288-1.19058.73959-1.79189,1.10646-1.19664.73357-2.40523,1.45512-3.61387,2.16462-.60733.35482-1.22067.70965-1.828,1.05845v.01791l-.03608.006-.012.006-.926.22858-1.32887-3.5117-.61334-1.61748-.86589-2.291-1.58746-4.19111-8.35817-22.068,12.99427-3.205.48706,1.99036h.006l.2405.98608,4.53991,18.41214.926,3.7642.03006.11421.55921,2.24889.48108,1.94824.53513,2.1768Z" transform="translate(-131.93432 -197.35206)" fill="#ffb6b6"/><path d="M789.05859,545.78443c-.82379,1.32288-1.66564,2.63975-2.51347,3.94458q-2.36319,3.6439-4.85256,7.17962c0,.006-.006.006-.012.012a16.97642,16.97642,0,0,1-3.18693,2.32706c-.04811.03608-.10221.06012-.15032.09018a11.74913,11.74913,0,0,1-2.68185,1.07636c-.33673.08416-.67948.16835-1.01622.25254-1.21461.28862-2.41723.53518-3.61387.75164-2.12862.37883-4.23319.64942-6.32574.81777-.16838.01806-.33673.03006-.50511.04209-8.60473.63137-16.981-.38484-25.724-2.05044-4.31743-.81781-8.725-1.79794-13.28894-2.81416-1.49124-.33673-2.98849-.66744-4.5038-.99815-.11425-.024-.23452-.05414-.35479-.07818-2.16469-.475-4.36547-.94406-6.62037-1.40707-2.8382-.58326-5.76657-1.14849-8.80919-1.68366l.21646,4.28733a32.26822,32.26822,0,0,0,2.03243,9.639c1.29885,3.80027,2.32706,6.80681.15635,13.06642L706.25839,583.27a10.35021,10.35021,0,0,1-1.06432,9.15795l-.21045.31868,8.725,22.074.56523,1.43112h-4.46776l-5.49593.006H694.9959l-13.43927-26.9627-.64341-1.28681v-.06613l1.389-51.81475c.01805-.457.05413-.92.11425-1.377a15.7532,15.7532,0,0,1,5.99506-10.60705,15.17083,15.17083,0,0,1,11.29858-3.09074l4.6.59529,9.39846,1.21466,6.62037.85986.13231.018,19.52447,2.52551,1.40106-5.71243.25856-.0962,8.21991-3.01256,28.42985-10.42069.07216-.024,1.87006-.6855.22248.36077c.06617.10827.1323.2165.19242.32473a55.72845,55.72845,0,0,1,4.49179,10.42667,163.68257,163.68257,0,0,1,4.72026,18.02124q.08121.39687.14431.72158l.01806.06613c.018.10221.03006.16835.03607.18641A16.8184,16.8184,0,0,1,789.05859,545.78443Z" transform="translate(-131.93432 -197.35206)" fill="#2f2e41"/><path d="M790.25853,526.68917c-.09022-.38485-.20447-.77567-.3247-1.1545a82.26988,82.26988,0,0,0-3.33123-8.43036c-1.41908-3.12681-3.1208-6.4761-5.1472-10.102q-1.47021-2.63376-3.16289-5.47791-.84785-1.42511-1.76183-2.90433a1.53038,1.53038,0,0,0-.07818-.13227l-.17436-.28861-28.12923,3.76419-10.47479,1.40106-.62535,5.21936-.15032,1.29282c-.006,0-.006,0,0,.006l-.42093,3.52366v.006l-.55921,4.65412-.04811-.006-15.54382-2.01436-16.01886-2.07453-8.60473-1.1124a15.16164,15.16164,0,0,0-11.29857,3.09073,15.76117,15.76117,0,0,0-5.995,10.60709c-.05413.42093-.09021.85385-.10827,1.28079l-8.11766,19.23586a124.10762,124.10762,0,0,0-9.176,36.10255l-5.953,19.03143.84783.07817,12.61544,1.17256,3.33124.3127,7.336-10.70931c.83583-1.22067,1.62956-2.47739,2.36916-3.7642a57.16729,57.16729,0,0,0,3.24106-6.5182l15.86854-37.76217q1.84.31578,3.64393.60131,8.34321,1.353,16.01887,2.20679c16.6382,1.85806,31.04556,2.00237,43.87148.427q5.40276-.65842,10.44473-1.73177,1.84906-.3879,3.64995-.83583c.28259-.06614.55921-.13227.83582-.20446a15.345,15.345,0,0,0,10.73335-10.02983A15.65694,15.65694,0,0,0,790.25853,526.68917Z" transform="translate(-131.93432 -197.35206)" fill="#2f2e41"/><path d="M659.27551,623.21123l-8.85726-4.24524-1.389-.66744-2.21883,5.44785-15.48972,3.40945a3.67535,3.67535,0,0,0-.60131,6.99322l15.13493,6.17545,4.80445-4.32341-1.17858,5.80265,5.70039,2.32706,6.24757-19.88528Z" transform="translate(-131.93432 -197.35206)" fill="#2f2e41"/><polygon points="581.774 417.469 582.34 418.9 581.774 418.9 581.774 417.469" fill="#2f2e41"/><path d="M710.62386,616.55758l-9.2808,3.21559-1.45663.50307,2.25657,5.43233-8.60767,13.32155a3.67535,3.67535,0,0,0,4.4933,5.39231l15.09969-6.26111.37189-6.45262,3.24539,4.95249,5.68793-2.35736-9.55231-18.52592Z" transform="translate(-131.93432 -197.35206)" fill="#2f2e41"/><path d="M654.29426,417.60112a6.59162,6.59162,0,0,0,9.85736,2.23448L683.66723,432.791l.03722-12.17246L665.16639,410.182a6.62733,6.62733,0,0,0-10.87213,7.41908Z" transform="translate(-131.93432 -197.35206)" fill="#ffb6b6"/><path d="M668.87388,423.22728l9.10526-10.3586,37.07416,22.00944,49.14578-4.5007a16.619,16.619,0,0,1,18.06343,18.081h0a16.63668,16.63668,0,0,1-18.07975,15.0161l-55.35008-5.12316Z" transform="translate(-131.93432 -197.35206)" fill="#ccc"/><path d="M782.94031,423.38713l-.08527-.10723h0a35.90712,35.90712,0,0,0-34.75218,18.00664l-4.17086,7.347c-13.49095,16.49312-3.68758,27.86723-3.10071,29.55866l-4.68285,21.59147,1.04956,7.226.52418,2.1465L791.17623,537.087c3.04333-14.62225.10065-27.08252-10.9867-36.60114L790.917,467.10773A47.01985,47.01985,0,0,0,782.94031,423.38713Z" transform="translate(-131.93432 -197.35206)" fill="#ccc"/><path d="M740.43783,585.54392h-17.1461a3.917,3.917,0,0,1-3.87533-3.3671,87.17978,87.17978,0,0,1,0-23.47951,3.91726,3.91726,0,0,1,3.80956-3.3665c5.39475-2.41816,11.20436-2.41786,17.27088-.0003a3.87165,3.87165,0,0,1,2.94606,1.42077,3.96093,3.96093,0,0,1,.81741,3.30162,52.71012,52.71012,0,0,0,0,20.76834,3.96093,3.96093,0,0,1-.81741,3.30162A3.871,3.871,0,0,1,740.43783,585.54392Z" transform="translate(-131.93432 -197.35206)" fill="#6c63ff"/><path d="M738.64212,564.28232h-14.4314a.902.902,0,1,1,0-1.80393h14.4314a.902.902,0,1,1,0,1.80393Z" transform="translate(-131.93432 -197.35206)" fill="#fff"/><path d="M738.64212,571.498h-14.4314a.902.902,0,1,1,0-1.80393h14.4314a.902.902,0,1,1,0,1.80393Z" transform="translate(-131.93432 -197.35206)" fill="#fff"/><path d="M738.64212,578.71372h-14.4314a.902.902,0,1,1,0-1.80392h14.4314a.902.902,0,1,1,0,1.80392Z" transform="translate(-131.93432 -197.35206)" fill="#fff"/><path d="M657.43783,423.54392h-17.1461a3.917,3.917,0,0,1-3.87533-3.3671,87.17978,87.17978,0,0,1,0-23.47951,3.91726,3.91726,0,0,1,3.80956-3.3665c5.39475-2.41816,11.20436-2.41786,17.27088-.0003a3.87165,3.87165,0,0,1,2.94606,1.42077,3.96093,3.96093,0,0,1,.81741,3.30162,52.71012,52.71012,0,0,0,0,20.76834,3.96093,3.96093,0,0,1-.81741,3.30162A3.871,3.871,0,0,1,657.43783,423.54392Z" transform="translate(-131.93432 -197.35206)" fill="#6c63ff"/><path d="M655.64212,402.28232h-14.4314a.902.902,0,1,1,0-1.80393h14.4314a.902.902,0,1,1,0,1.80393Z" transform="translate(-131.93432 -197.35206)" fill="#fff"/><path d="M655.64212,409.498h-14.4314a.902.902,0,1,1,0-1.80393h14.4314a.902.902,0,1,1,0,1.80393Z" transform="translate(-131.93432 -197.35206)" fill="#fff"/><path d="M655.64212,416.71372h-14.4314a.902.902,0,1,1,0-1.80392h14.4314a.902.902,0,1,1,0,1.80392Z" transform="translate(-131.93432 -197.35206)" fill="#fff"/><path d="M356.43783,467.54392h-17.1461a3.917,3.917,0,0,1-3.87533-3.3671,87.17978,87.17978,0,0,1,0-23.47951,3.91726,3.91726,0,0,1,3.80956-3.3665c5.39475-2.41816,11.20436-2.41786,17.27088-.0003a3.87165,3.87165,0,0,1,2.94606,1.42077,3.96093,3.96093,0,0,1,.81741,3.30162,52.71012,52.71012,0,0,0,0,20.76834,3.96093,3.96093,0,0,1-.81741,3.30162A3.871,3.871,0,0,1,356.43783,467.54392Z" transform="translate(-131.93432 -197.35206)" fill="#6c63ff"/><path d="M354.64212,446.28232h-14.4314a.902.902,0,1,1,0-1.80393h14.4314a.902.902,0,1,1,0,1.80393Z" transform="translate(-131.93432 -197.35206)" fill="#fff"/><path d="M354.64212,453.498h-14.4314a.902.902,0,1,1,0-1.80393h14.4314a.902.902,0,1,1,0,1.80393Z" transform="translate(-131.93432 -197.35206)" fill="#fff"/><path d="M354.64212,460.71372h-14.4314a.902.902,0,1,1,0-1.80392h14.4314a.902.902,0,1,1,0,1.80392Z" transform="translate(-131.93432 -197.35206)" fill="#fff"/><path d="M745.46161,563.62594a6.5916,6.5916,0,0,0,1.64575-9.97255l11.77477-20.24983-12.15324.685-9.31829,19.12456a6.62733,6.62733,0,0,0,8.051,10.41283Z" transform="translate(-131.93432 -197.35206)" fill="#ffb6b6"/><path d="M750.21291,548.73823l-10.88053-8.4747,19.77122-38.31459-7.40838-48.7922a16.619,16.619,0,0,1,16.97747-19.10428h0a16.63667,16.63667,0,0,1,16.06224,17.15706l-1.83044,55.55653Z" transform="translate(-131.93432 -197.35206)" fill="#ccc"/><path d="M224.31966,538.26993a6.64617,6.64617,0,0,0-.92425-10.14919l10.582-52.56023-11.68584,3.752-8.4704,50.83891a6.68225,6.68225,0,0,0,10.49845,8.11854Z" transform="translate(-131.93432 -197.35206)" fill="#9e616a"/><path d="M239.94458,427.06627l-7.25052-5.47306s-6.39609-.45294-7.5289,11.08163-3.45883,34.01358-3.45883,34.01358l-11.09474,51.38647,15.35812,3.371,11.88326-55.4551,7.12879-16.46808Z" transform="translate(-131.93432 -197.35206)" fill="#ccc"/><polygon points="96.057 313.623 136.914 312.942 140.319 285.023 96.057 285.023 96.057 313.623" fill="#9e616a"/><polygon points="132.828 485.427 142.26 485.427 146.747 449.046 132.826 449.047 132.828 485.427" fill="#9e616a"/><polygon points="73.738 486.301 83.17 486.234 87.402 449.823 75.135 452.637 73.738 486.301" fill="#9e616a"/><polygon points="103.238 260.98 101.101 266.536 101.528 272.093 143.355 286.58 141.28 262.262 136.578 256.705 103.238 260.98" fill="#ffb6b6"/><circle cx="121.18221" cy="196.03649" r="14.93893" fill="#9e616a"/><path d="M262.42294,678.12643l14.91014-.88993v6.38815l14.17548,9.7901a3.99028,3.99028,0,0,1-2.26741,7.27391H271.49007l-3.05966-6.31886-1.19465,6.31886h-6.69287Z" transform="translate(-131.93432 -197.35206)" fill="#2f2e41"/><path d="M202.4458,679.02206l14.90355-.99428.04471,6.388,14.24367,9.69063a3.99028,3.99028,0,0,1-2.21644,7.28961l-17.75064.12425-3.10383-6.29729-1.15038,6.32707-6.69271.04685Z" transform="translate(-131.93432 -197.35206)" fill="#2f2e41"/><path d="M202.73736,655.75874l6.8681-54.89788,8.17141-57.8808c-5.98409-11.11333,7.49045-45.62369,7.49045-45.62369l1.902.09126,43.05,8.12158-.00928-.04143c8.80514,24.01585,11.72238,35.88019,11.23985,61.45474l-1.73467,91.935h.54417a3.40475,3.40475,0,0,1,0,6.80951H263.23565a3.40476,3.40476,0,1,1,0-6.80951h.43893L248.04884,549.45028l-13.24821,45.963L219.81972,655.3369c5.4476-1.3619,4.60175,1.79359,4.60175,3.58067a3.40476,3.40476,0,0,1-3.40476,3.40475H203.993a3.40121,3.40121,0,0,1-1.25559-6.56358Z" transform="translate(-131.93432 -197.35206)" fill="#2f2e41"/><path d="M221.91528,499.144l1.36194-13.619a2.71478,2.71478,0,0,1,2.4549-2.03932c.56745-6.48761,2.95489-34.47566,3.09753-35.69629l.00557-.05162,1.08564-23.19163a3.42964,3.42964,0,0,1,3.20218-3.262l5.73413-.37481a.30343.30343,0,0,0,.29322-.30323,4.82207,4.82207,0,0,1,4.82205-4.8221h16.97689a4.51469,4.51469,0,0,1,4.47767,3.95212.29971.29971,0,0,0,.30506.26974l.002,0a8.06559,8.06559,0,0,1,8.11384,6.68989c2.32095,13.50393,6.97231,44.15273,4.6726,61.1917-.80056,5.93155.92521,1.2336,1.228,6.19651a3.65315,3.65315,0,0,1-.9095,2.64862,2.63369,2.63369,0,0,1,1.58533,3.34765l.29838-.07386a2.72377,2.72377,0,0,1-3.307,1.97535L233,508C231.5413,507.6323,221.54758,500.60264,221.91528,499.144Z" transform="translate(-131.93432 -197.35206)" fill="#ccc"/><path d="M340.59989,443.772a6.64617,6.64617,0,0,1-9.35992,4.03141l-17.17084,15.67037L311.78928,451.414l16.666-12.99325a6.68225,6.68225,0,0,1,12.14465,5.35125Z" transform="translate(-131.93432 -197.35206)" fill="#9e616a"/><path d="M280.83559,431.79406s-5.98735-13.53065-13.54943-10.84111-3.65762,15.81786-3.65762,15.81786l28.411,42.81149s40.97912-26.28757,35.99605-26.47325-6.47365-9.24886-6.47365-9.24886L299.90375,454.682l-.7328-3.85243-1.17455,1.17455-3.03091-2.38559Z" transform="translate(-131.93432 -197.35206)" fill="#ccc"/><circle cx="638.68288" cy="198.72118" r="20.85682" fill="#ffb6b6"/><path d="M837.5538,426.76378a18.08782,18.08782,0,0,1-9.94255,7.00011,20.797,20.797,0,0,1-4.94982.8407,18.715,18.715,0,0,0-1.47122-5.49886,15.4508,15.4508,0,0,1-.7635,5.486,18.38753,18.38753,0,0,1-7.236-1.93873,15.945,15.945,0,0,1-8.53138-11.4438c-.88359-5.70476,1.70286-11.30656,2.63792-17.00271.93935-5.69617-.82354-12.91072-6.3996-14.4077-4.2464-1.14094-3.77029-.64766-7.30036,1.97308,3.672,5.42946-9.89092,25.32605-15.44141,23.591-3.13813-.98094-5.14714-3.86035-5.79482-3.86035-4.36219,7.5148,3.85176,20.17676-4.42654,22.80609l.682-.682c4.997-6.14652-5.44739-19.15592-.45037-25.30246,1.394-1.72,2.87809-3.75741,2.46633-5.93205-.39034-2.06744-3.67162-3.1612-4.63244-1.46266,1.72859-3.959-.82353-9.2434-5.04846-10.26-3.75312-.905-3.68451.21017-7.45048.69486a18.69,18.69,0,0,0-1.36828-4.7225,15.3235,15.3235,0,0,1-.5619,4.81258,6.04294,6.04294,0,0,1-3.65447-1.3211c-3.07111-2.47493-2.44919-7.67353.29167-10.50874,2.74515-2.83521,6.82426-3.85606,10.71461-4.51662,1.13094-7.87547,22.85981-8.697,25.74-.82783,1.22675-5.87632,8.58285-8.926,14.30047-7.103s9.6852,7.16311,11.77408,12.79064c2.08887,5.62324,2.67221,11.67543,3.959,17.53458s3.46146,11.82554,7.93946,15.81886c4.478,3.989,11.77408,5.31013,16.49229,1.60419A13.20769,13.20769,0,0,1,837.5538,426.76378Z" transform="translate(-131.93432 -197.35206)" fill="#2f2e41"/><path d="M1033.22942,474.35948l-2.92,14.65c-.22,1.12-.44995,2.26-.69995,3.39a14.28772,14.28772,0,0,0-7.34.41,68.511,68.511,0,0,1,5.04,8.43c-1.84,5.67-4.54,10.91-9.06,14.7a22.71964,22.71964,0,0,1-21.95,3.86l.13-.58c-4.86-9.43-2.22-21.32,3.82-30.03a58.3846,58.3846,0,0,1,10.85-11.47c4.07995-3.4,8.49-6.45,12.86-9.46A5.99007,5.99007,0,0,1,1033.22942,474.35948Z" transform="translate(-131.93432 -197.35206)" fill="#e4e4e4"/><path id="a7585634-9c2c-4d81-a429-c019b32aabf2-212" data-name="a4b268fa-75d0-4ac1-9d87-14bdca948464-2189" d="M997.33929,555.04932c-1.229-8.953-2.493-18.02-1.631-27.069.766-8.036,3.217-15.885,8.209-22.321a37.13173,37.13173,0,0,1,9.527-8.633c.953-.6,1.829.909.881,1.507a35.29987,35.29987,0,0,0-13.963,16.847c-3.04,7.732-3.528,16.161-3,24.374.317,4.967.988,9.9,1.665,14.83a.9.9,0,0,1-.61,1.074.878.878,0,0,1-1.074-.61Z" transform="translate(-131.93432 -197.35206)" fill="#f2f2f2"/><path d="M1066.875,702.3406l-933.75.30734a1.19069,1.19069,0,0,1,0-2.38137l933.75-.30734a1.19069,1.19069,0,0,1,0,2.38137Z" transform="translate(-131.93432 -197.35206)" fill="#cacaca"/><path d="M235.53416,384.24148c-2.29115,1.09956-4.85587-.55463-6.83394-2.1938l.70759.6111c-3.496,3.40136-5.13049,8.295-5.92915,13.1122-.79946,4.81219-.8886,9.73349-1.89518,14.51148-1.00736,4.77294-3.097,9.5685-7.00017,12.49186-5.229,3.91551-12.44089,3.66418-18.8579,2.4639-.08549-.01739-.16516-.03053-.25065-.04792a39.17631,39.17631,0,0,0,2.06351-15.53107,35.62051,35.62051,0,0,1-8.55133,14.01635,81.77118,81.77118,0,0,1-12.41776-4.52484c-2.59486-1.19436-5.38892-2.82751-6.10908-5.59277-.722-2.74434.95459-5.62289,3.19644-7.35579s4.99335-2.637,7.54733-3.87152c2.54979-1.22872,5.073-2.98061,6.09393-5.62536,2.35472-6.084-4.35321-13.0653-1.739-19.04589,1.28916-2.94091,4.44678-4.54059,7.41464-5.7739a108.82521,108.82521,0,0,1,13.92569-4.69721c4.16318-1.09817,8.51015-1.95158,12.7512-1.2317s8.396,3.29944,9.92241,7.32712c2.54684.86075,5.25072,1.83091,6.88523,3.97468C238.09171,379.39715,237.96,383.07906,235.53416,384.24148Z" transform="translate(-131.93432 -197.35206)" fill="#2f2e41"/><path d="M255.92053,377.19147c-6.5545-5.17444-11.85405-4.29114-15.9423-1.07639-.68728-.76456-3.61211,1.339-4.60242,1.03664l-3.58185,6.72422c-1.84318,3.25252-2.59937,6.57264-2.30142,8.44132-3.3904,9.50778,4.64952,15.92831,14.15749,19.31852a18.14268,18.14268,0,0,0,11.76508.1704l.11686-1.62011.72,1.32781s8.6921,17.89737,10.74606,18.70108c-1.24628-3.233-4.5334-18.59855-5.45092-21.80147-1.2581-4.35783-.39868-11.28126.34075-15.52611a24.0569,24.0569,0,0,0,.07136-7.91713l-.0183-.11474,2.03365,4.10533,4.563-2.86926C266.79366,381.01218,266.75885,374.93582,255.92053,377.19147Z" transform="translate(-131.93432 -197.35206)" fill="#2f2e41"/></svg>
\ No newline at end of file
diff --git a/src/frontend/src/assets/undraw_transfer_files_re_a2a9.svg b/src/frontend/src/assets/undraw_transfer_files_re_a2a9.svg
new file mode 100644
index 00000000000..c5930b9ea5b
--- /dev/null
+++ b/src/frontend/src/assets/undraw_transfer_files_re_a2a9.svg
@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" data-name="Layer 1" width="674.74026" height="489" viewBox="0 0 674.74026 489" xmlns:xlink="http://www.w3.org/1999/xlink"><path d="M575.557,676.4931c.7522,5.89331,3.51807,11.28516,6.46869,16.47907.09753.17682.19794.351.30078.52783h30.66736c.62024-.161,1.23248-.33783,1.84216-.52783a33.52388,33.52388,0,0,0,9.68317-4.76373c11.28247-8.12867,15.624-23.48871,13.663-37.25208-1.21936-8.551-4.97216-17.28137-12.28-21.88672a18.43735,18.43735,0,0,0-13.2566-2.32251c-.11621.02112-.23236.04749-.351.07129a13.67965,13.67965,0,0,0-9.16327,6.44226c-3.48364,6.1889-1.4093,13.85571.30347,20.744,1.70758,6.88831,2.634,15.13306-2.32245,20.2135a12.64395,12.64395,0,0,0-14.70288-16.4342c-.35889.07653-.71265.16363-1.061.26922a11.77269,11.77269,0,0,0-2.4201,1.01343C577.08246,662.33124,574.715,669.85028,575.557,676.4931Z" transform="translate(-262.62987 -205.5)" fill="#f2f2f2"/><path d="M593.74091,692.97217c-.84973.19793-1.70221.37213-2.55994.52783h4.637c.60712-.16364,1.21149-.33783,1.81042-.52783q1.97553-.61752,3.8902-1.41724a34.89995,34.89995,0,0,0,13.40442-9.66467,27.2815,27.2815,0,0,0,4.228-6.90674,31.36944,31.36944,0,0,0,2.164-8.83862,62.859,62.859,0,0,0-1.24561-18.7461,78.23988,78.23988,0,0,0-6.11236-18.33441q-.50272-1.0491-1.0398-2.085a.40687.40687,0,0,0-.27179-.23224.46894.46894,0,0,0-.351.07129.55591.55591,0,0,0-.21906.73371,77.33792,77.33792,0,0,1,6.48713,17.672,68.02229,68.02229,0,0,1,1.92926,18.39508,29.35028,29.35028,0,0,1-5.16754,16.10163,32.4856,32.4856,0,0,1-12.16138,9.97876A44.6376,44.6376,0,0,1,593.74091,692.97217Z" transform="translate(-262.62987 -205.5)" fill="#fff"/><path d="M583.56421,693.5h1.36713c.15308-.17419.3009-.351.446-.52783a29.14011,29.14011,0,0,0,6.13355-13.1062,28.43331,28.43331,0,0,0-2.45178-17.69574,29.09218,29.09218,0,0,0-2.64978-4.38636c-.35889.07654-.71265.16364-1.061.26923a27.504,27.504,0,0,1-1.31176,34.91907C583.88367,693.149,583.72529,693.32581,583.56421,693.5Z" transform="translate(-262.62987 -205.5)" fill="#fff"/><path d="M931.05752,369.72079,793.52185,419.60093l-59.558-164.22079L871.49947,205.5Z" transform="translate(-262.62987 -205.5)" fill="#f1f1f1"/><path d="M931.05752,369.72079,793.52185,419.60093l-59.558-164.22079L871.49947,205.5Z" transform="translate(-262.62987 -205.5)" fill="#f1f1f1"/><rect x="791.59543" y="299.31879" width="83.64649" height="3.9548" transform="translate(-315.41956 96.69888) rotate(-19.93422)" fill="#fff"/><rect x="795.10115" y="308.98519" width="83.64649" height="3.9548" transform="translate(-318.50519 98.47329) rotate(-19.93422)" fill="#fff"/><rect x="798.60687" y="318.6516" width="83.64649" height="3.9548" transform="translate(-321.59082 100.2477) rotate(-19.93422)" fill="#fff"/><circle cx="525.27608" cy="112.91865" r="2.58099" fill="#fff"/><rect x="776.48936" y="257.66648" width="83.64649" height="3.9548" transform="translate(-302.12366 89.05299) rotate(-19.93422)" fill="#fff"/><rect x="779.99509" y="267.33289" width="83.64649" height="3.9548" transform="translate(-305.20929 90.8274) rotate(-19.93422)" fill="#fff"/><rect x="783.50081" y="276.99929" width="83.64649" height="3.9548" transform="translate(-308.29492 92.60181) rotate(-19.93422)" fill="#fff"/><circle cx="510.02336" cy="70.86195" r="2.58099" fill="#fff"/><rect x="806.84816" y="341.37549" width="83.64649" height="3.9548" transform="translate(-328.84454 104.419) rotate(-19.93422)" fill="#fff"/><rect x="810.35388" y="351.04189" width="83.64649" height="3.9548" transform="translate(-331.93017 106.19341) rotate(-19.93422)" fill="#fff"/><rect x="813.8596" y="360.7083" width="83.64649" height="3.9548" transform="translate(-335.0158 107.96782) rotate(-19.93422)" fill="#fff"/><circle cx="540.38215" cy="154.57095" r="2.58099" fill="#fff"/><path d="M937.3701,419.58633l-146.30136,0,0-174.68724,146.30136,0Z" transform="translate(-262.62987 -205.5)" fill="#fff"/><path d="M937.3701,419.58633l-146.30136,0,0-174.68724,146.30136,0Zm-143.72037-2.581,141.13938,0,0-169.52526-141.13938,0Z" transform="translate(-262.62987 -205.5)" fill="#e5e5e5"/><path d="M887.7254,309.46477H851.0522a1.95294,1.95294,0,0,1-1.9507-1.95071v-36.6732a1.95294,1.95294,0,0,1,1.95071-1.9507l36.6732,0a1.95293,1.95293,0,0,1,1.9507,1.9507l0,36.6732A1.95293,1.95293,0,0,1,887.7254,309.46477Zm-36.67319-39.79433a1.1717,1.1717,0,0,0-1.17042,1.17042l0,36.6732a1.17171,1.17171,0,0,0,1.17042,1.17043h36.6732a1.1717,1.1717,0,0,0,1.17042-1.17042l0-36.6732a1.1717,1.1717,0,0,0-1.17042-1.17042Z" transform="translate(-262.62987 -205.5)" fill="#e5e5e5"/><path d="M877.19161,313.95138h-36.6732a1.75761,1.75761,0,0,1-1.75563-1.75563v-36.6732a1.75762,1.75762,0,0,1,1.75563-1.75564l36.67321,0a1.75762,1.75762,0,0,1,1.75563,1.75563l0,36.6732A1.7576,1.7576,0,0,1,877.19161,313.95138Z" transform="translate(-262.62987 -205.5)" fill="#6c63ff"/><rect x="550.41929" y="123.99235" width="102.34056" height="3.9548" fill="#f1f1f1"/><rect x="550.41929" y="134.30374" width="102.34056" height="3.9548" fill="#f1f1f1"/><rect x="550.41928" y="144.61513" width="102.34056" height="3.9548" fill="#f1f1f1"/><rect x="550.41928" y="162.76318" width="102.34056" height="3.9548" fill="#f1f1f1"/><rect x="550.41928" y="173.07457" width="102.34056" height="3.9548" fill="#f1f1f1"/><rect x="550.41928" y="183.38597" width="102.34056" height="3.9548" fill="#f1f1f1"/><polygon points="197.095 477.736 207.858 477.736 212.979 436.22 197.093 436.221 197.095 477.736" fill="#ffb8b8"/><path d="M456.979,679.72228l21.19709-.00086h.00086a13.50917,13.50917,0,0,1,13.50844,13.50823v.439l-34.70574.00129Z" transform="translate(-262.62987 -205.5)" fill="#2f2e41"/><polygon points="121.713 470.364 132.161 472.95 147.106 433.88 131.686 430.064 121.713 470.364" fill="#ffb8b8"/><path d="M382.52206,671.79346l20.57639,5.092.00083.0002a13.50918,13.50918,0,0,1,9.86724,16.35812l-.10547.42611-33.68945-8.33722Z" transform="translate(-262.62987 -205.5)" fill="#2f2e41"/><path d="M424.15994,507.0938l-9.46447,53.87466s-3.64018,6.55232-2.18411,9.46447,2.18411,2.91214,0,4.36821-5.09625,0-4.36821,3.64018a37.16265,37.16265,0,0,1,.728,6.55232l-20.385,69.89145s-13.10465,5.82429-3.64018,9.46447,18.92893,6.55232,21.113,2.91214,0-8.00839,0-8.00839l33.48965-80.084s5.09625-7.28036,5.09625-11.64858S461.28977,531.847,461.28977,531.847s.728,31.30555,1.45607,33.48966-1.45607,6.55232-1.45607,9.46446-1.45607,2.91215,0,4.36822,1.45607,18.20089,1.45607,18.20089-8.73643,64.7952-3.64018,65.52323,19.657-.728,19.657-3.64017a3.63264,3.63264,0,0,0-2.18411-3.64018L486.043,600.2824a11.58433,11.58433,0,0,1,.728-6.55232c1.45608-2.91215,1.45608-2.91215,1.45608-4.36822s-.728-2.18411,0-2.91214a3.59477,3.59477,0,0,0,.728-2.18411s-1.45607-4.36822-.728-5.09625,16.74482-55.33073,11.64857-61.88305S424.15994,507.0938,424.15994,507.0938Z" transform="translate(-262.62987 -205.5)" fill="#2f2e41"/><circle cx="194.09073" cy="166.4056" r="18.92893" fill="#ffb8b8"/><path d="M443.34671,385.61335c.97328-.65269,1.011-2.14627.68475-3.3581a12.60351,12.60351,0,0,1-.86847-3.63611c.13937-3.37767,4.79141-4.73253,5.05717-8.09366.16347-2.06714-1.4407-4.35292-.515-6.14273.58458-1.13026,1.94414-1.50718,3.18216-1.7242a39.5376,39.5376,0,0,1,14.50231.19476l.69741-1.8321,3.54292,2.33766c.19349-1.137,1.76727-1.251,2.79584-.70531s1.919,1.488,3.04139,1.67c1.7889.29,3.203-1.64734,3.10852-3.51144a9.17566,9.17566,0,0,0-2.42255-5.02508,39.84944,39.84944,0,0,0-10.67343-9.23948l.98317-1.77153-2.10546.84553-.231-2.11872-2.05121,1.15287-.02921-1.90828c-2.19611,2.52172-6.02064,2.43483-9.3778,2.66221a26.99544,26.99544,0,0,0-15.42333,5.73429,20.50734,20.50734,0,0,0-7.50586,14.74027c-.1906,4.45327,1.3446,9.87334,4.6327,13.17558C437.3605,382.0614,441.78869,380.23986,443.34671,385.61335Z" transform="translate(-262.62987 -205.5)" fill="#2f2e41"/><path d="M503.16743,555.55964a9.01338,9.01338,0,0,1,.77684-13.799l-5.0487-19.96868,11.38661-6.02776,6.73369,28.29978a9.06219,9.06219,0,0,1-13.84844,11.49569Z" transform="translate(-262.62987 -205.5)" fill="#ffb8b8"/><path d="M472.73489,529.7173c-23.00911.00176-44.18872-10.41223-44.47461-10.55517l-.23751-.11876-1.93088-46.33885c-.55991-1.63751-11.58548-33.94913-13.4528-44.21929-1.892-10.40518,25.52826-19.537,28.858-20.605l.75563-8.37051,30.72778-3.31108,3.89452,10.71043,11.02382,4.13357a5.45269,5.45269,0,0,1,3.37947,6.40576l-6.12691,24.9158,12.05171,82.4335-.30942.13943A58.50177,58.50177,0,0,1,472.73489,529.7173Z" transform="translate(-262.62987 -205.5)" fill="#6c63ff"/><path d="M500.20569,534.88932,489.5421,490.99023l-11.558-52.97421,5.867-26.40243H488.867c.09193,0,9.20686.13635,11.1694,11.91074,1.90075,11.40449,7.63268,47.6997,7.6903,48.06477l9.6876,62.001Z" transform="translate(-262.62987 -205.5)" fill="#6c63ff"/><path d="M644.62987,694.5h-381a1,1,0,0,1,0-2h381a1,1,0,0,1,0,2Z" transform="translate(-262.62987 -205.5)" fill="#cbcbcb"/><path d="M481.27407,593.88611,383.2649,530.067l78.5005-120.5559,98.00917,63.81909Z" transform="translate(-262.62987 -205.5)" fill="#fff"/><path d="M481.27407,593.88611,383.2649,530.067l78.5005-120.5559,98.00917,63.81909Zm-95.06813-64.44045,94.44676,61.49941,76.18083-116.9935-94.44676-61.49941Z" transform="translate(-262.62987 -205.5)" fill="#e5e5e5"/><rect x="477.74369" y="464.03998" width="3.25692" height="65.35732" transform="translate(-461.08673 421.88957) rotate(-56.92966)" fill="#6c63ff"/><rect x="473.12297" y="471.13617" width="3.25692" height="65.35732" transform="matrix(0.54567, -0.838, 0.838, 0.54567, -469.13269, 421.24143)" fill="#6c63ff"/><rect x="468.50226" y="478.23237" width="3.25692" height="65.35732" transform="translate(-477.17865 420.59329) rotate(-56.92966)" fill="#6c63ff"/><circle cx="184.40409" cy="270.73089" r="2.12554" fill="#6c63ff"/><rect x="497.65424" y="433.46266" width="3.25692" height="65.35732" transform="translate(-426.4169 424.68239) rotate(-56.92966)" fill="#e5e5e5"/><rect x="493.03353" y="440.55886" width="3.25692" height="65.35732" transform="translate(-434.46286 424.03425) rotate(-56.92966)" fill="#e5e5e5"/><rect x="488.41281" y="447.65505" width="3.25692" height="65.35732" transform="matrix(0.54567, -0.838, 0.838, 0.54567, -442.50882, 423.38611)" fill="#e5e5e5"/><circle cx="204.50795" cy="239.8567" r="2.12554" fill="#e5e5e5"/><rect x="457.63983" y="494.91417" width="3.25692" height="65.35732" transform="translate(-496.09317 419.06963) rotate(-56.92966)" fill="#e5e5e5"/><rect x="453.01911" y="502.01036" width="3.25692" height="65.35732" transform="translate(-504.13912 418.42149) rotate(-56.92966)" fill="#e5e5e5"/><rect x="448.3984" y="509.10655" width="3.25692" height="65.35732" transform="translate(-512.18508 417.77335) rotate(-56.92966)" fill="#e5e5e5"/><circle cx="164.49353" cy="301.30821" r="2.12554" fill="#e5e5e5"/><path d="M454.57626,527.47073a9.01331,9.01331,0,0,0-11.00435-8.36186L431.65248,502.3111l-11.97461,4.75371,17.16572,23.48528a9.06218,9.06218,0,0,0,17.73267-3.07936Z" transform="translate(-262.62987 -205.5)" fill="#ffb8b8"/><path d="M431.34573,526.22588l-36.06628-46.7888,13.51372-42.47138c.99029-10.67789,7.67205-13.65953,7.9564-13.78136l.43368-.18605,11.75943,31.35938-8.63418,23.0245,21.19236,35.6425Z" transform="translate(-262.62987 -205.5)" fill="#6c63ff"/><rect x="393.40551" y="311" width="6" height="2" fill="#cbcbcb"/><path d="M830.969,518.5H818.90233v-2H830.969Zm-24.13331,0H794.769v-2h12.06665Zm-24.1333,0H770.63572v-2h12.06665Zm-24.13354,0H746.50218v-2h12.06665Zm-24.1333,0H722.36888v-2h12.06665Zm-24.1333,0H698.23558v-2h12.06665Zm-24.1333,0H674.10228v-2h12.06665Z" transform="translate(-262.62987 -205.5)" fill="#cbcbcb"/><polygon points="587.406 313 580.406 313 580.406 311 585.406 311 585.406 306 587.406 306 587.406 313" fill="#cbcbcb"/><rect x="585.40551" y="293.86035" width="2" height="6.06982" fill="#cbcbcb"/><rect x="585.40551" y="281.79004" width="2" height="6" fill="#cbcbcb"/></svg>
\ No newline at end of file
diff --git a/src/frontend/src/boilerplate/raw-component/index.tsx b/src/frontend/src/boilerplate/raw-component/index.tsx
new file mode 100644
index 00000000000..0595c1808bf
--- /dev/null
+++ b/src/frontend/src/boilerplate/raw-component/index.tsx
@@ -0,0 +1,9 @@
+type RawComponentProps = {};
+const RawComponent = ({}: RawComponentProps) => {
+  return (
+    <>
+      <div>RawComponent</div>
+    </>
+  );
+};
+export default RawComponent;
diff --git a/src/frontend/src/components/AccordionComponent/index.tsx b/src/frontend/src/components/AccordionComponent/index.tsx
deleted file mode 100644
index e00932c7691..00000000000
--- a/src/frontend/src/components/AccordionComponent/index.tsx
+++ /dev/null
@@ -1,59 +0,0 @@
-import { useState } from "react";
-import {
-  Accordion,
-  AccordionContent,
-  AccordionItem,
-  AccordionTrigger,
-} from "../../components/ui/accordion";
-import { AccordionComponentType } from "../../types/components";
-
-export default function AccordionComponent({
-  trigger,
-  children,
-  open = [],
-  keyValue,
-}: AccordionComponentType): JSX.Element {
-  const [value, setValue] = useState(
-    open.length === 0 ? "" : getOpenAccordion()
-  );
-
-  function getOpenAccordion(): string {
-    let value = "";
-    open.forEach((el) => {
-      if (el == trigger) {
-        value = trigger;
-      }
-    });
-
-    return value;
-  }
-
-  function handleClick(): void {
-    value === "" ? setValue(keyValue!) : setValue("");
-  }
-
-  return (
-    <>
-      <Accordion
-        type="single"
-        className="w-full"
-        value={value}
-        onValueChange={setValue}
-      >
-        <AccordionItem value={keyValue!} className="border-b">
-          <AccordionTrigger
-            onClick={() => {
-              handleClick();
-            }}
-            className="ml-3"
-          >
-            {trigger}
-          </AccordionTrigger>
-          <AccordionContent className="AccordionContent">
-            {children}
-          </AccordionContent>
-        </AccordionItem>
-      </Accordion>
-    </>
-  );
-}
diff --git a/src/frontend/src/components/CrashErrorComponent/index.tsx b/src/frontend/src/components/CrashErrorComponent/index.tsx
deleted file mode 100644
index 0cf376195d5..00000000000
--- a/src/frontend/src/components/CrashErrorComponent/index.tsx
+++ /dev/null
@@ -1,65 +0,0 @@
-import { XCircle } from "lucide-react";
-import { crashComponentPropsType } from "../../types/components";
-import { Button } from "../ui/button";
-import { Card, CardContent, CardFooter, CardHeader } from "../ui/card";
-
-export default function CrashErrorComponent({
-  error,
-  resetErrorBoundary,
-}: crashComponentPropsType): JSX.Element {
-  return (
-    <div className="z-50 flex h-screen w-screen items-center justify-center bg-foreground bg-opacity-50">
-      <div className="flex h-screen w-screen flex-col  bg-background text-start shadow-lg">
-        <div className="m-auto grid w-1/2 justify-center gap-5 text-center">
-          <Card className="p-8">
-            <CardHeader>
-              <div className="m-auto">
-                <XCircle strokeWidth={1.5} className="h-16 w-16" />
-              </div>
-              <div>
-                <p className="mb-4 text-xl text-foreground">
-                  Sorry, we found an unexpected error!
-                </p>
-              </div>
-            </CardHeader>
-
-            <CardContent className="grid">
-              <div>
-                <p>
-                Please report errors with detailed tracebacks on the{" "}
-                  <a
-                    href="https://github.com/logspace-ai/langflow/issues"
-                    target="_blank"
-                    rel="noopener noreferrer"
-                    className="font-medium  hover:underline "
-                  >
-                    GitHub Issues
-                  </a>{" "}
-                  page.
-                  <br></br>
-                   Thank you!
-                </p>
-              </div>
-            </CardContent>
-
-            <CardFooter>
-              <div className="m-auto mt-4 flex justify-center">
-                <Button onClick={resetErrorBoundary}>Restart Langflow</Button>
-
-                <a
-                  href="https://github.com/logspace-ai/langflow/issues/new"
-                  target="_blank"
-                  rel="noopener noreferrer"
-                >
-                  <Button className="ml-3" variant={"outline"}>
-                    Report on GitHub
-                  </Button>
-                </a>
-              </div>
-            </CardFooter>
-          </Card>
-        </div>
-      </div>
-    </div>
-  );
-}
diff --git a/src/frontend/src/components/DropdownButtonComponent/index.tsx b/src/frontend/src/components/DropdownButtonComponent/index.tsx
deleted file mode 100644
index 9491336d697..00000000000
--- a/src/frontend/src/components/DropdownButtonComponent/index.tsx
+++ /dev/null
@@ -1,66 +0,0 @@
-import { useState } from "react";
-import { dropdownButtonPropsType } from "../../types/components";
-import IconComponent from "../genericIconComponent";
-import { Button } from "../ui/button";
-import {
-  DropdownMenu,
-  DropdownMenuContent,
-  DropdownMenuItem,
-  DropdownMenuTrigger,
-} from "../ui/dropdown-menu";
-
-export default function DropdownButton({
-  firstButtonName,
-  onFirstBtnClick,
-  options,
-}: dropdownButtonPropsType): JSX.Element {
-  const [showOptions, setShowOptions] = useState<boolean>(false);
-
-  return (
-    <div>
-      <DropdownMenu open={showOptions}>
-        <DropdownMenuTrigger asChild>
-          <Button
-            id="new-project-btn"
-            variant="primary"
-            className="relative pr-10"
-            onClick={(event) => {
-              event.stopPropagation();
-              event.preventDefault();
-              onFirstBtnClick();
-            }}
-          >
-            {firstButtonName}
-            <div
-              className="absolute right-2 items-center text-muted-foreground"
-              onClick={(event) => {
-                event.stopPropagation();
-                event.preventDefault();
-                setShowOptions(!showOptions);
-              }}
-            >
-              {!showOptions ? (
-                <IconComponent name="ChevronDown" />
-              ) : (
-                <IconComponent name="ChevronUp" />
-              )}
-            </div>
-          </Button>
-        </DropdownMenuTrigger>
-        <DropdownMenuContent
-          onPointerDownOutside={(event) => {
-            event.stopPropagation();
-            event.preventDefault();
-            setShowOptions(!showOptions);
-          }}
-        >
-          {options.map(({ name, onBtnClick }, index) => (
-            <DropdownMenuItem onClick={onBtnClick} key={index}>
-              {name}
-            </DropdownMenuItem>
-          ))}
-        </DropdownMenuContent>
-      </DropdownMenu>
-    </div>
-  );
-}
diff --git a/src/frontend/src/components/EditFlowSettingsComponent/index.tsx b/src/frontend/src/components/EditFlowSettingsComponent/index.tsx
deleted file mode 100644
index 0e927f24f09..00000000000
--- a/src/frontend/src/components/EditFlowSettingsComponent/index.tsx
+++ /dev/null
@@ -1,98 +0,0 @@
-import React, { ChangeEvent, useState } from "react";
-import { Input } from "../../components/ui/input";
-import { Label } from "../../components/ui/label";
-import { Textarea } from "../../components/ui/textarea";
-import { InputProps } from "../../types/components";
-import { cn } from "../../utils/utils";
-
-export const EditFlowSettings: React.FC<InputProps> = ({
-  name,
-  invalidNameList,
-  description,
-  maxLength = 50,
-  setName,
-  setDescription,
-}: InputProps): JSX.Element => {
-  const [isMaxLength, setIsMaxLength] = useState(false);
-
-  const handleNameChange = (event: ChangeEvent<HTMLInputElement>) => {
-    const { value } = event.target;
-    if (value.length >= maxLength) {
-      setIsMaxLength(true);
-    } else {
-      setIsMaxLength(false);
-    }
-    setName!(value);
-  };
-
-  const handleDescriptionChange = (event: ChangeEvent<HTMLTextAreaElement>) => {
-    setDescription!(event.target.value);
-  };
-
-  //this function is necessary to select the text when double clicking, this was not working with the onFocus event
-  const handleFocus = (event) => event.target.select();
-
-  return (
-    <>
-      <Label>
-        <div className="edit-flow-arrangement">
-          <span className="font-medium">Name{setName ? "" : ":"}</span>{" "}
-          {isMaxLength && (
-            <span className="edit-flow-span">Character limit reached</span>
-          )}
-        </div>
-        {setName ? (
-          <Input
-            className="nopan nodelete nodrag noundo nocopy mt-2 font-normal"
-            onChange={handleNameChange}
-            type="text"
-            name="name"
-            value={name ?? ""}
-            placeholder="Flow name"
-            id="name"
-            maxLength={maxLength}
-            onDoubleClickCapture={(event) => {
-              handleFocus(event);
-            }}
-          />
-        ) : (
-          <span className="font-normal text-muted-foreground word-break-break-word">
-            {name}
-          </span>
-        )}
-      </Label>
-      <Label>
-        <div className="edit-flow-arrangement mt-3">
-          <span className="font-medium ">
-            Description{setDescription ? " (optional)" : ":"}
-          </span>
-        </div>
-        {setDescription ? (
-          <Textarea
-            name="description"
-            id="description"
-            onChange={handleDescriptionChange}
-            value={description!}
-            placeholder="Flow description"
-            className="mt-2 max-h-[100px] font-normal"
-            rows={3}
-            onDoubleClickCapture={(event) => {
-              handleFocus(event);
-            }}
-          />
-        ) : (
-          <span
-            className={cn(
-              "font-normal text-muted-foreground word-break-break-word",
-              description === "" ? "font-light italic" : ""
-            )}
-          >
-            {description === "" ? "No description" : description}
-          </span>
-        )}
-      </Label>
-    </>
-  );
-};
-
-export default EditFlowSettings;
diff --git a/src/frontend/src/components/ImageViewer/index.tsx b/src/frontend/src/components/ImageViewer/index.tsx
new file mode 100644
index 00000000000..9e7f091d276
--- /dev/null
+++ b/src/frontend/src/components/ImageViewer/index.tsx
@@ -0,0 +1,162 @@
+import { saveAs } from "file-saver";
+import OpenSeadragon from "openseadragon";
+import { useEffect, useRef, useState } from "react";
+import { IMGViewErrorMSG, IMGViewErrorTitle } from "../../constants/constants";
+import useAlertStore from "../../stores/alertStore";
+import ForwardedIconComponent from "../genericIconComponent";
+import { Separator } from "../ui/separator";
+
+export default function ImageViewer({ image }) {
+  const viewerRef = useRef(null);
+  const [errorDownloading, setErrordownloading] = useState(false);
+  const setErrorList = useAlertStore((state) => state.setErrorData);
+  const [initialMsg, setInicialMsg] = useState("Please build your flow");
+
+  useEffect(() => {
+    try {
+      if (viewerRef.current) {
+        // Initialize OpenSeadragon viewer
+        const viewer = OpenSeadragon({
+          element: viewerRef.current,
+          prefixUrl:
+            "https://cdnjs.cloudflare.com/ajax/libs/openseadragon/2.4.2/images/", // Optional: Set the path to OpenSeadragon images
+          tileSources: { type: "image", url: image },
+          defaultZoomLevel: 1,
+          maxZoomPixelRatio: 4,
+          showNavigationControl: false,
+        });
+        const zoomInButton = document.getElementById("zoom-in-button");
+        const zoomOutButton = document.getElementById("zoom-out-button");
+        const homeButton = document.getElementById("home-button");
+        const fullPageButton = document.getElementById("full-page-button");
+
+        zoomInButton!.addEventListener("click", () =>
+          viewer.viewport.zoomBy(1.2),
+        );
+        zoomOutButton!.addEventListener("click", () =>
+          viewer.viewport.zoomBy(0.8),
+        );
+        homeButton!.addEventListener("click", () => viewer.viewport.goHome());
+        fullPageButton!.addEventListener("click", () =>
+          viewer.setFullScreen(true),
+        );
+
+        // Optionally, you can set additional viewer options here
+
+        // Cleanup function
+        return () => {
+          viewer.destroy();
+          zoomInButton!.removeEventListener("click", () =>
+            viewer.viewport.zoomBy(1.2),
+          );
+          zoomOutButton!.removeEventListener("click", () =>
+            viewer.viewport.zoomBy(0.8),
+          );
+          homeButton!.removeEventListener("click", () =>
+            viewer.viewport.goHome(),
+          );
+          fullPageButton!.removeEventListener("click", () =>
+            viewer.setFullScreen(true),
+          );
+        };
+      }
+    } catch (error) {
+      console.error("Error initializing OpenSeadragon:", error);
+    }
+  }, [image]);
+
+  function download() {
+    const imageUrl = image;
+    // Fetch the image data
+    fetch(imageUrl)
+      .then((response) => response.blob())
+      .then((blob) => {
+        // Save the image using FileSaver.js
+        saveAs(blob, "image.jpg");
+      })
+      .catch((error) => {
+        setErrorList({ title: "There was an error downloading your image" });
+        console.error("Error downloading image:", error);
+      });
+  }
+
+  return image === "" ? (
+    <div className="align-center flex h-full w-full flex-col justify-center gap-5 rounded-md border border-border bg-muted">
+      <div className="align-center flex justify-center gap-2">
+        <ForwardedIconComponent name="Image" />
+        {IMGViewErrorTitle}
+      </div>
+      <div className="align-center flex justify-center">
+        <div className="langflow-chat-desc align-center flex justify-center">
+          <div className="langflow-chat-desc-span">{IMGViewErrorMSG}</div>
+        </div>
+      </div>
+    </div>
+  ) : (
+    <>
+      <div className="align-center my-2 mb-4 flex w-full justify-center">
+        <div className="shadow-round-btn-shadow hover:shadow-round-btn-shadow flex w-[50%] items-center justify-center rounded-sm border bg-muted shadow-md transition-all">
+          <button
+            id="zoom-in-button"
+            className="relative inline-flex w-full items-center justify-center px-3 py-3 text-sm font-semibold transition-all duration-500 ease-in-out hover:bg-hover"
+          >
+            <ForwardedIconComponent
+              name="ZoomIn"
+              className={"h-5 w-5 text-secondary-foreground"}
+            />
+          </button>
+          <div>
+            <Separator orientation="vertical" />
+          </div>
+          <button
+            id="zoom-out-button"
+            className="relative inline-flex w-full items-center justify-center px-3 py-3 text-sm font-semibold transition-all duration-500 ease-in-out hover:bg-hover"
+          >
+            <ForwardedIconComponent
+              name="ZoomOut"
+              className={"h-5 w-5 text-secondary-foreground"}
+            />
+          </button>
+          <div>
+            <Separator orientation="vertical" />
+          </div>
+          <button
+            id="home-button"
+            className="relative inline-flex w-full items-center justify-center px-3 py-3 text-sm font-semibold transition-all duration-500 ease-in-out hover:bg-hover"
+          >
+            <ForwardedIconComponent
+              name="RotateCcw"
+              className={"h-5 w-5 text-secondary-foreground"}
+            />
+          </button>
+          <div>
+            <Separator orientation="vertical" />
+          </div>
+          <button
+            id="full-page-button"
+            className="relative inline-flex w-full items-center justify-center px-3 py-3 text-sm font-semibold transition-all duration-500 ease-in-out hover:bg-hover"
+          >
+            <ForwardedIconComponent
+              name="Maximize2"
+              className={"h-5 w-5 text-secondary-foreground"}
+            />
+          </button>
+          <div>
+            <Separator orientation="vertical" />
+          </div>
+
+          <button
+            onClick={download}
+            className="relative inline-flex w-full items-center justify-center px-3 py-3 text-sm font-semibold transition-all duration-500 ease-in-out hover:bg-hover"
+          >
+            <ForwardedIconComponent
+              name="ArrowDownToLine"
+              className={"h-5 w-5 text-secondary-foreground"}
+            />
+          </button>
+        </div>
+      </div>
+      <div id="canvas" ref={viewerRef} className={`h-[90%] w-full`} />
+    </>
+  );
+}
diff --git a/src/frontend/src/components/LightTooltipComponent/index.tsx b/src/frontend/src/components/LightTooltipComponent/index.tsx
deleted file mode 100644
index 08ea762661d..00000000000
--- a/src/frontend/src/components/LightTooltipComponent/index.tsx
+++ /dev/null
@@ -1,17 +0,0 @@
-import Tooltip, { TooltipProps, tooltipClasses } from "@mui/material/Tooltip";
-import { styled } from "@mui/material/styles";
-
-export const LightTooltip = styled(({ className, ...props }: TooltipProps) => (
-  <Tooltip {...props} classes={{ popper: className }} />
-))(({ theme }) => ({
-  [`& .${tooltipClasses.tooltip}`]: {
-    backgroundColor: theme.palette.common.white,
-    color: "rgba(0, 0, 0, 0.87)",
-    boxShadow: theme.shadows[2],
-    fontSize: 14,
-  },
-  [`& .${tooltipClasses.arrow}:before`]: {
-    color: theme.palette.common.white,
-    boxShadow: theme.shadows[1],
-  },
-}));
diff --git a/src/frontend/src/components/LoadingSpinner/index.tsx b/src/frontend/src/components/LoadingSpinner/index.tsx
deleted file mode 100644
index ea02a88d687..00000000000
--- a/src/frontend/src/components/LoadingSpinner/index.tsx
+++ /dev/null
@@ -1,3 +0,0 @@
-export default function LoadingSpinner({}) {
-  return <></>;
-}
diff --git a/src/frontend/src/components/PaginatorComponent/index.tsx b/src/frontend/src/components/PaginatorComponent/index.tsx
deleted file mode 100644
index c5ed90f33b8..00000000000
--- a/src/frontend/src/components/PaginatorComponent/index.tsx
+++ /dev/null
@@ -1,119 +0,0 @@
-import { useEffect, useState } from "react";
-import {
-  Select,
-  SelectContent,
-  SelectItem,
-  SelectTrigger,
-  SelectValue,
-} from "../../components/ui/select";
-import { PaginatorComponentType } from "../../types/components";
-import IconComponent from "../genericIconComponent";
-import { Button } from "../ui/button";
-
-export default function PaginatorComponent({
-  pageSize = 12,
-  pageIndex = 1,
-  rowsCount = [12, 24, 48, 96],
-  totalRowsCount = 0,
-  paginate,
-  storeComponent = false,
-}: PaginatorComponentType) {
-  const [size, setPageSize] = useState(pageSize);
-  const [maxIndex, setMaxPageIndex] = useState(
-    Math.ceil(totalRowsCount / pageSize)
-  );
-
-  useEffect(() => {
-    setMaxPageIndex(Math.ceil(totalRowsCount / size));
-  }, [totalRowsCount]);
-
-  return (
-    <>
-      <div className="flex items-center justify-between px-2">
-        <div className="flex-1 text-sm text-muted-foreground"></div>
-        <div
-          className={
-            storeComponent
-              ? "flex items-center lg:space-x-8 "
-              : "flex items-center space-x-6 lg:space-x-8 "
-          }
-        >
-          <div className="flex items-center space-x-2">
-            <p className="text-sm font-medium">Rows per page</p>
-            <Select
-              onValueChange={(pageSize: string) => {
-                setPageSize(Number(pageSize));
-                setMaxPageIndex(Math.ceil(totalRowsCount / Number(pageSize)));
-                paginate(Number(pageSize), 1);
-              }}
-              value={pageSize.toString()}
-            >
-              <SelectTrigger className="w-[100px]">
-                <SelectValue placeholder="10" />
-              </SelectTrigger>
-              <SelectContent>
-                {rowsCount.map((item, i) => (
-                  <SelectItem key={i} value={item.toString()}>
-                    {item}
-                  </SelectItem>
-                ))}
-              </SelectContent>
-            </Select>
-          </div>
-          <div className="flex w-[100px] items-center justify-center text-sm font-medium">
-            Page {pageIndex}
-            {!storeComponent && <> of {maxIndex}</>}
-          </div>
-          <div className="flex items-center space-x-2">
-            <Button
-              disabled={pageIndex <= 1}
-              variant="outline"
-              className="hidden h-8 w-8 p-0 lg:flex"
-              onClick={() => {
-                paginate(size, 1);
-              }}
-            >
-              <span className="sr-only">Go to first page</span>
-              <IconComponent name="ChevronsLeft" className="h-4 w-4" />
-            </Button>
-            <Button
-              disabled={pageIndex <= 1}
-              onClick={() => {
-                if (pageIndex > 0) {
-                  paginate(size, pageIndex - 1);
-                }
-              }}
-              variant="outline"
-              className="h-8 w-8 p-0"
-            >
-              <span className="sr-only">Go to previous page</span>
-              <IconComponent name="ChevronLeft" className="h-4 w-4" />
-            </Button>
-            <Button
-              disabled={pageIndex === maxIndex}
-              onClick={() => {
-                paginate(size, pageIndex + 1);
-              }}
-              variant="outline"
-              className="h-8 w-8 p-0"
-            >
-              <span className="sr-only">Go to next page</span>
-              <IconComponent name="ChevronRight" className="h-4 w-4" />
-            </Button>
-            <Button
-              disabled={pageIndex === maxIndex}
-              variant="outline"
-              className="hidden h-8 w-8 p-0 lg:flex"
-              onClick={() => {
-                paginate(size, maxIndex);
-              }}
-            >
-              <span className="sr-only">Go to last page</span>
-              <IconComponent name="ChevronsRight" className="h-4 w-4" />
-            </Button>
-          </div>
-        </div>
-      </div>
-    </>
-  );
-}
diff --git a/src/frontend/src/components/RadialProgress/index.tsx b/src/frontend/src/components/RadialProgress/index.tsx
deleted file mode 100644
index 5c46fd6b832..00000000000
--- a/src/frontend/src/components/RadialProgress/index.tsx
+++ /dev/null
@@ -1,18 +0,0 @@
-import { RadialProgressType } from "../../types/components";
-
-export default function RadialProgressComponent({
-  value,
-  color,
-}: RadialProgressType): JSX.Element {
-  const style = {
-    "--value": value! * 100,
-    "--size": "1.5rem",
-    "--thickness": "2px",
-  } as React.CSSProperties;
-
-  return (
-    <div className={"radial-progress " + color} style={style}>
-      <strong className="text-[8px]">{Math.trunc(value! * 100)}%</strong>
-    </div>
-  );
-}
diff --git a/src/frontend/src/components/ReactTooltipComponent/index.tsx b/src/frontend/src/components/ReactTooltipComponent/index.tsx
deleted file mode 100644
index 18eb67b33aa..00000000000
--- a/src/frontend/src/components/ReactTooltipComponent/index.tsx
+++ /dev/null
@@ -1,45 +0,0 @@
-"use client";
-import type { FC } from "react";
-import React from "react";
-import { Tooltip as ReactTooltip } from "react-tooltip";
-import "react-tooltip/dist/react-tooltip.css";
-import { TooltipProps } from "../../types/components";
-import { classNames } from "../../utils/utils";
-
-const TooltipReact: FC<TooltipProps> = ({
-  selector,
-  content,
-  disabled,
-  position = "top",
-  children,
-  htmlContent,
-  className,
-  clickable,
-  delayShow,
-}: TooltipProps): JSX.Element => {
-  return (
-    <div className="tooltip-container">
-      {React.cloneElement(children as React.ReactElement, {
-        "data-tooltip-id": selector,
-      })}
-      <ReactTooltip
-        id={selector}
-        content={content}
-        className={classNames(
-          "z-[9999] !bg-white !text-xs !font-normal !text-foreground !opacity-100 !shadow-md",
-          className!
-        )}
-        place={position}
-        clickable={clickable}
-        isOpen={disabled ? false : undefined}
-        delayShow={delayShow}
-        positionStrategy="absolute"
-        float={true}
-      >
-        {htmlContent && htmlContent}
-      </ReactTooltip>
-    </div>
-  );
-};
-
-export default TooltipReact;
diff --git a/src/frontend/src/components/ShadTooltipComponent/index.tsx b/src/frontend/src/components/ShadTooltipComponent/index.tsx
deleted file mode 100644
index 62d5bc2e401..00000000000
--- a/src/frontend/src/components/ShadTooltipComponent/index.tsx
+++ /dev/null
@@ -1,26 +0,0 @@
-import { ShadToolTipType } from "../../types/components";
-import { Tooltip, TooltipContent, TooltipTrigger } from "../ui/tooltip";
-
-export default function ShadTooltip({
-  content,
-  side,
-  asChild = true,
-  children,
-  styleClasses,
-  delayDuration = 500,
-}: ShadToolTipType): JSX.Element {
-  return (
-    <Tooltip delayDuration={delayDuration}>
-      <TooltipTrigger asChild={asChild}>{children}</TooltipTrigger>
-
-      <TooltipContent
-        className={styleClasses}
-        side={side}
-        avoidCollisions={false}
-        sticky="always"
-      >
-        {content}
-      </TooltipContent>
-    </Tooltip>
-  );
-}
diff --git a/src/frontend/src/components/TooltipComponent/index.tsx b/src/frontend/src/components/TooltipComponent/index.tsx
deleted file mode 100644
index 5f105873d67..00000000000
--- a/src/frontend/src/components/TooltipComponent/index.tsx
+++ /dev/null
@@ -1,14 +0,0 @@
-import { TooltipComponentType } from "../../types/components";
-import { LightTooltip } from "../LightTooltipComponent";
-
-export default function Tooltip({
-  children,
-  title,
-  placement,
-}: TooltipComponentType): JSX.Element {
-  return (
-    <LightTooltip placement={placement} title={title} arrow>
-      {children}
-    </LightTooltip>
-  );
-}
diff --git a/src/frontend/src/components/accordionComponent/composite/folderAccordionComponent/index.tsx b/src/frontend/src/components/accordionComponent/composite/folderAccordionComponent/index.tsx
new file mode 100644
index 00000000000..d4fb95b5ca8
--- /dev/null
+++ b/src/frontend/src/components/accordionComponent/composite/folderAccordionComponent/index.tsx
@@ -0,0 +1,72 @@
+import { useState } from "react";
+import IconComponent from "../../../../components/genericIconComponent";
+import { AccordionComponentType } from "../../../../types/components";
+import {
+  Accordion,
+  AccordionContent,
+  AccordionItem,
+  AccordionTrigger,
+} from "../../../ui/custom-accordion";
+
+export default function FolderAccordionComponent({
+  trigger,
+  open = [],
+  keyValue,
+  options,
+}: AccordionComponentType): JSX.Element {
+  const [value, setValue] = useState(
+    open.length === 0 ? "" : getOpenAccordion(),
+  );
+
+  function getOpenAccordion(): string {
+    let value = "";
+    open.forEach((el) => {
+      if (el == trigger) {
+        value = trigger;
+      }
+    });
+
+    return value;
+  }
+
+  function handleClick(): void {
+    value === "" ? setValue(keyValue!) : setValue("");
+  }
+
+  return (
+    <>
+      <Accordion
+        type="single"
+        className="w-full"
+        value={value}
+        onValueChange={setValue}
+      >
+        <AccordionItem value={keyValue!} className="">
+          <AccordionTrigger
+            onClick={() => {
+              handleClick();
+            }}
+            className="px-2"
+          >
+            {trigger}
+          </AccordionTrigger>
+          <AccordionContent>
+            {options!.map((option, index) => (
+              <div
+                key={index}
+                className="flex cursor-pointer px-2 py-1 hover:bg-muted-foreground/10"
+              >
+                <IconComponent
+                  name={option.icon}
+                  className="relative top-[1.5px] mr-2 h-4 w-4"
+                  aria-hidden="true"
+                />
+                <span className="truncate">{option.title}</span>
+              </div>
+            ))}
+          </AccordionContent>
+        </AccordionItem>
+      </Accordion>
+    </>
+  );
+}
diff --git a/src/frontend/src/components/accordionComponent/index.tsx b/src/frontend/src/components/accordionComponent/index.tsx
new file mode 100644
index 00000000000..c9c21b8b2a8
--- /dev/null
+++ b/src/frontend/src/components/accordionComponent/index.tsx
@@ -0,0 +1,67 @@
+import { useState } from "react";
+import {
+  Accordion,
+  AccordionContent,
+  AccordionItem,
+  AccordionTrigger,
+} from "../../components/ui/accordion";
+import { AccordionComponentType } from "../../types/components";
+import { cn } from "../../utils/utils";
+
+export default function AccordionComponent({
+  trigger,
+  children,
+  disabled,
+  open = [],
+  keyValue,
+  sideBar,
+}: AccordionComponentType): JSX.Element {
+  const [value, setValue] = useState(
+    open.length === 0 ? "" : getOpenAccordion(),
+  );
+
+  function getOpenAccordion(): string {
+    let value = "";
+    open.forEach((el) => {
+      if (el == keyValue) {
+        value = keyValue;
+      }
+    });
+    return value;
+  }
+
+  function handleClick(): void {
+    if (!disabled) {
+      value === "" ? setValue(keyValue!) : setValue("");
+    }
+  }
+
+  return (
+    <>
+      <Accordion
+        type="single"
+        className="w-full"
+        value={value}
+        onValueChange={!disabled ? setValue : () => {}}
+      >
+        <AccordionItem value={keyValue!} className="border-b">
+          <AccordionTrigger
+            onClick={() => {
+              handleClick();
+            }}
+            disabled={disabled}
+            className={cn(
+              sideBar ? "w-full bg-muted px-[0.75rem] py-[0.5rem]" : "ml-3",
+              disabled ? "cursor-not-allowed" : "cursor-pointer",
+            )}
+          >
+            {trigger}
+          </AccordionTrigger>
+          <AccordionContent>
+            <div className="AccordionContent flex flex-col">{children}</div>
+          </AccordionContent>
+        </AccordionItem>
+      </Accordion>
+    </>
+  );
+}
diff --git a/src/frontend/src/components/addNewVariableButtonComponent/addNewVariableButton.tsx b/src/frontend/src/components/addNewVariableButtonComponent/addNewVariableButton.tsx
new file mode 100644
index 00000000000..415cd92d78c
--- /dev/null
+++ b/src/frontend/src/components/addNewVariableButtonComponent/addNewVariableButton.tsx
@@ -0,0 +1,158 @@
+import { useState } from "react";
+import { registerGlobalVariable } from "../../controllers/API";
+import BaseModal from "../../modals/baseModal";
+import useAlertStore from "../../stores/alertStore";
+import { useGlobalVariablesStore } from "../../stores/globalVariablesStore/globalVariables";
+import { useTypesStore } from "../../stores/typesStore";
+import { ResponseErrorDetailAPI } from "../../types/api";
+import ForwardedIconComponent from "../genericIconComponent";
+import InputComponent from "../inputComponent";
+import { Input } from "../ui/input";
+import { Label } from "../ui/label";
+import { Textarea } from "../ui/textarea";
+import sortByName from "./utils/sort-by-name";
+
+//TODO IMPLEMENT FORM LOGIC
+
+export default function AddNewVariableButton({
+  children,
+  asChild,
+}: {
+  children: JSX.Element;
+  asChild?: boolean;
+}): JSX.Element {
+  const [key, setKey] = useState("");
+  const [value, setValue] = useState("");
+  const [type, setType] = useState("Generic");
+  const [fields, setFields] = useState<string[]>([]);
+  const [open, setOpen] = useState(false);
+  const setErrorData = useAlertStore((state) => state.setErrorData);
+  const componentFields = useTypesStore((state) => state.ComponentFields);
+  const unavaliableFields = new Set(
+    Object.keys(useGlobalVariablesStore((state) => state.unavaliableFields)),
+  );
+
+  const availableFields = () => {
+    const fields = Array.from(componentFields).filter(
+      (field) => !unavaliableFields.has(field),
+    );
+
+    return sortByName(fields);
+  };
+
+  const addGlobalVariable = useGlobalVariablesStore(
+    (state) => state.addGlobalVariable,
+  );
+
+  function handleSaveVariable() {
+    let data: {
+      name: string;
+      value: string;
+      type?: string;
+      default_fields?: string[];
+    } = {
+      name: key,
+      type,
+      value,
+      default_fields: fields,
+    };
+    registerGlobalVariable(data)
+      .then((res) => {
+        const { name, id, type } = res.data;
+        addGlobalVariable(name, id, type, fields);
+        setKey("");
+        setValue("");
+        setType("");
+        setFields([]);
+        setOpen(false);
+      })
+      .catch((error) => {
+        let responseError = error as ResponseErrorDetailAPI;
+        setErrorData({
+          title: "Error creating variable",
+          list: [
+            responseError?.response?.data?.detail ??
+              "An unexpected error occurred while adding a new variable. Please try again.",
+          ],
+        });
+      });
+  }
+  return (
+    <BaseModal
+      open={open}
+      setOpen={setOpen}
+      size="x-small"
+      onSubmit={handleSaveVariable}
+    >
+      <BaseModal.Header
+        description={
+          "This variable will be encrypted and will be available for you to use in any of your projects."
+        }
+      >
+        <span className="pr-2"> Create Variable </span>
+        <ForwardedIconComponent
+          name="Globe"
+          className="h-6 w-6 pl-1 text-primary"
+          aria-hidden="true"
+        />
+      </BaseModal.Header>
+      <BaseModal.Trigger asChild={asChild}>{children}</BaseModal.Trigger>
+      <BaseModal.Content>
+        <div className="flex h-full w-full flex-col gap-4 align-middle">
+          <Label>Variable Name</Label>
+          <Input
+            value={key}
+            onChange={(e) => {
+              setKey(e.target.value);
+            }}
+            placeholder="Insert a name for the variable..."
+          ></Input>
+          <Label>Type (optional)</Label>
+          <InputComponent
+            setSelectedOption={(e) => {
+              setType(e);
+            }}
+            selectedOption={type}
+            password={false}
+            options={["Generic", "Credential"]}
+            placeholder="Choose a type for the variable..."
+            id={"type-global-variables"}
+          ></InputComponent>
+          <Label>Value</Label>
+          {type === "Credential" ? (
+            <InputComponent
+              password
+              value={value}
+              onChange={(e) => {
+                setValue(e);
+              }}
+              placeholder="Insert a value for the variable..."
+            />
+          ) : (
+            <Textarea
+              value={value}
+              onChange={(e) => {
+                setValue(e.target.value);
+              }}
+              placeholder="Insert a value for the variable..."
+              className="w-full resize-none custom-scroll"
+            />
+          )}
+
+          <Label>Apply To Fields (optional)</Label>
+          <InputComponent
+            setSelectedOptions={(value) => setFields(value)}
+            selectedOptions={fields}
+            options={availableFields()}
+            password={false}
+            placeholder="Choose a field for the variable..."
+            id={"apply-to-fields"}
+          ></InputComponent>
+        </div>
+      </BaseModal.Content>
+      <BaseModal.Footer
+        submit={{ label: "Save Variable", dataTestId: "save-variable-btn" }}
+      />
+    </BaseModal>
+  );
+}
diff --git a/src/frontend/src/components/addNewVariableButtonComponent/utils/sort-by-name.tsx b/src/frontend/src/components/addNewVariableButtonComponent/utils/sort-by-name.tsx
new file mode 100644
index 00000000000..f3dc064532c
--- /dev/null
+++ b/src/frontend/src/components/addNewVariableButtonComponent/utils/sort-by-name.tsx
@@ -0,0 +1,3 @@
+export default function sortByName(stringList: string[]): string[] {
+  return stringList.sort((a, b) => a.localeCompare(b));
+}
diff --git a/src/frontend/src/components/arrayReaderComponent/index.tsx b/src/frontend/src/components/arrayReaderComponent/index.tsx
new file mode 100644
index 00000000000..6e151d42634
--- /dev/null
+++ b/src/frontend/src/components/arrayReaderComponent/index.tsx
@@ -0,0 +1,14 @@
+import TableAutoCellRender from "../tableComponent/components/tableAutoCellRender";
+
+export default function ArrayReader({ array }: { array: any[] }): JSX.Element {
+  //TODO check array type
+  return (
+    <div>
+      <ul>
+        {array.map((item, index) => (
+          <li key={index}>{<TableAutoCellRender value={item} />}</li>
+        ))}
+      </ul>
+    </div>
+  );
+}
diff --git a/src/frontend/src/components/cardComponent/components/dragCardComponent/index.tsx b/src/frontend/src/components/cardComponent/components/dragCardComponent/index.tsx
new file mode 100644
index 00000000000..28674f3bc95
--- /dev/null
+++ b/src/frontend/src/components/cardComponent/components/dragCardComponent/index.tsx
@@ -0,0 +1,38 @@
+import { storeComponent } from "../../../../types/store";
+import { cn } from "../../../../utils/utils";
+import ForwardedIconComponent from "../../../genericIconComponent";
+import { Card, CardHeader, CardTitle } from "../../../ui/card";
+
+export default function DragCardComponent({ data }: { data: storeComponent }) {
+  return (
+    <>
+      <Card
+        draggable
+        //TODO check color schema
+        className={cn(
+          "group relative flex flex-col justify-between overflow-hidden transition-all hover:bg-muted/50 hover:shadow-md hover:dark:bg-[#ffffff10]",
+        )}
+      >
+        <div>
+          <CardHeader>
+            <div>
+              <CardTitle className="flex w-full items-start justify-between gap-3 text-xl">
+                <ForwardedIconComponent
+                  className={cn(
+                    "visible flex-shrink-0",
+                    data.is_component
+                      ? "mx-0.5 h-6 w-6 text-component-icon"
+                      : "h-7 w-7 flex-shrink-0 text-flow-icon",
+                  )}
+                  name={data.is_component ? "ToyBrick" : "Group"}
+                />
+
+                <div className="w-full truncate pr-3">{data.name}</div>
+              </CardTitle>
+            </div>
+          </CardHeader>
+        </div>
+      </Card>
+    </>
+  );
+}
diff --git a/src/frontend/src/components/cardComponent/index.tsx b/src/frontend/src/components/cardComponent/index.tsx
index a253f1f5ebf..ba00e695866 100644
--- a/src/frontend/src/components/cardComponent/index.tsx
+++ b/src/frontend/src/components/cardComponent/index.tsx
@@ -1,15 +1,21 @@
 import { useEffect, useState } from "react";
+import { createRoot } from "react-dom/client";
+import { Control } from "react-hook-form";
 import { getComponent, postLikeComponent } from "../../controllers/API";
-import DeleteConfirmationModal from "../../modals/DeleteConfirmationModal";
+import IOModal from "../../modals/IOModal";
+import DeleteConfirmationModal from "../../modals/deleteConfirmationModal";
 import useAlertStore from "../../stores/alertStore";
+import useFlowStore from "../../stores/flowStore";
 import useFlowsManagerStore from "../../stores/flowsManagerStore";
 import { useStoreStore } from "../../stores/storeStore";
+import { FlowType } from "../../types/flow";
 import { storeComponent } from "../../types/store";
-import cloneFLowWithParent from "../../utils/storeUtils";
+import cloneFLowWithParent, {
+  getInputsAndOutputs,
+} from "../../utils/storeUtils";
 import { cn } from "../../utils/utils";
-import ShadTooltip from "../ShadTooltipComponent";
 import IconComponent from "../genericIconComponent";
-import { Badge } from "../ui/badge";
+import ShadTooltip from "../shadTooltipComponent";
 import { Button } from "../ui/button";
 import {
   Card,
@@ -18,37 +24,94 @@ import {
   CardHeader,
   CardTitle,
 } from "../ui/card";
+import { Checkbox } from "../ui/checkbox";
+import { FormControl, FormField } from "../ui/form";
+import Loading from "../ui/loading";
+import DragCardComponent from "./components/dragCardComponent";
+import { convertTestName } from "./utils/convert-test-name";
 
 export default function CollectionCardComponent({
   data,
   authorized = true,
   disabled = false,
   button,
+  onClick,
   onDelete,
+  playground,
+  control,
+  is_component,
 }: {
   data: storeComponent;
   authorized?: boolean;
   disabled?: boolean;
+  onClick?: () => void;
   button?: JSX.Element;
+  playground?: boolean;
   onDelete?: () => void;
+  control?: Control<any, any>;
+  is_component?: boolean;
 }) {
   const addFlow = useFlowsManagerStore((state) => state.addFlow);
   const setSuccessData = useAlertStore((state) => state.setSuccessData);
   const setErrorData = useAlertStore((state) => state.setErrorData);
   const setValidApiKey = useStoreStore((state) => state.updateValidApiKey);
+  const cleanFlowPool = useFlowStore((state) => state.CleanFlowPool);
   const isStore = false;
   const [loading, setLoading] = useState(false);
   const [loadingLike, setLoadingLike] = useState(false);
   const [liked_by_user, setLiked_by_user] = useState(
-    data?.liked_by_user ?? false
+    data?.liked_by_user ?? false,
   );
   const [likes_count, setLikes_count] = useState(data?.liked_by_count ?? 0);
   const [downloads_count, setDownloads_count] = useState(
-    data?.downloads_count ?? 0
+    data?.downloads_count ?? 0,
+  );
+  const currentFlow = useFlowsManagerStore((state) => state.currentFlow);
+  const setCurrentFlow = useFlowsManagerStore((state) => state.setCurrentFlow);
+  const getFlowById = useFlowsManagerStore((state) => state.getFlowById);
+  const currentFlowId = useFlowsManagerStore((state) => state.currentFlowId);
+  const setNodes = useFlowStore((state) => state.setNodes);
+  const setEdges = useFlowStore((state) => state.setEdges);
+  const [openPlayground, setOpenPlayground] = useState(false);
+  const [openDelete, setOpenDelete] = useState(false);
+  const setCurrentFlowId = useFlowsManagerStore(
+    (state) => state.setCurrentFlowId,
+  );
+  const [loadingPlayground, setLoadingPlayground] = useState(false);
+
+  const selectedFlowsComponentsCards = useFlowsManagerStore(
+    (state) => state.selectedFlowsComponentsCards,
   );
 
   const name = data.is_component ? "Component" : "Flow";
 
+  async function getFlowData() {
+    const res = await getComponent(data.id);
+    const newFlow = cloneFLowWithParent(res, res.id, data.is_component, true);
+    return newFlow;
+  }
+
+  function hasPlayground(flow?: FlowType) {
+    if (!flow) {
+      return false;
+    }
+    const { inputs, outputs } = getInputsAndOutputs(flow?.data?.nodes ?? []);
+    return inputs.length > 0 || outputs.length > 0;
+  }
+
+  useEffect(() => {
+    if (currentFlowId && playground) {
+      if (openPlayground) {
+        setNodes(currentFlow?.data?.nodes ?? [], true);
+        setEdges(currentFlow?.data?.edges ?? [], true);
+      } else {
+        setNodes([], true);
+        setEdges([], true);
+      }
+      cleanFlowPool();
+    }
+  }, [openPlayground]);
+
   useEffect(() => {
     if (data) {
       setLiked_by_user(data?.liked_by_user ?? false);
@@ -127,219 +190,400 @@ export default function CollectionCardComponent({
     }
   }
 
+  const isSelectedCard =
+    selectedFlowsComponentsCards?.includes(data?.id) ?? false;
+
+  function onDragStart(event: React.DragEvent<any>) {
+    let image: JSX.Element = <DragCardComponent data={data} />; // <== whatever you want here
+
+    var ghost = document.createElement("div");
+    ghost.style.transform = "translate(-10000px, -10000px)";
+    ghost.style.position = "absolute";
+    document.body.appendChild(ghost);
+    event.dataTransfer.setDragImage(ghost, 0, 0);
+    const root = createRoot(ghost);
+    root.render(image);
+    const flow = getFlowById(data.id);
+    if (flow) {
+      event.dataTransfer.setData("flow", JSON.stringify(data));
+    }
+  }
+
   return (
-    <Card
-      className={cn(
-        "group relative flex flex-col justify-between overflow-hidden transition-all hover:shadow-md",
-        disabled ? "pointer-events-none opacity-50" : ""
-      )}
-    >
-      <div>
-        <CardHeader>
-          <div>
-            <CardTitle className="flex w-full items-center justify-between gap-3 text-xl">
-              <IconComponent
-                className={cn(
-                  "flex-shrink-0",
-                  data.is_component
-                    ? "mx-0.5 h-6 w-6 text-component-icon"
-                    : "h-7 w-7 flex-shrink-0 text-flow-icon"
-                )}
-                name={data.is_component ? "ToyBrick" : "Group"}
-              />
-              <ShadTooltip content={data.name}>
-                <div className="w-full truncate">{data.name}</div>
-              </ShadTooltip>
-              {data?.metadata !== undefined && (
-                <div className="flex gap-3">
-                  {data.private && (
-                    <ShadTooltip content="Private">
+    <>
+      <Card
+        onDragStart={onDragStart}
+        draggable
+        data-testid={`card-${convertTestName(data.name)}`}
+        //TODO check color schema
+        className={cn(
+          "group relative flex h-[11rem] flex-col justify-between overflow-hidden hover:bg-muted/50 hover:shadow-md hover:dark:bg-[#5f5f5f0e]",
+          disabled ? "pointer-events-none opacity-50" : "",
+          onClick ? "cursor-pointer" : "",
+          isSelectedCard ? "border border-selected" : "",
+        )}
+        onClick={onClick}
+      >
+        <div>
+          <CardHeader>
+            <div>
+              <CardTitle className="flex w-full items-start justify-between gap-3 text-xl">
+                <IconComponent
+                  className={cn(
+                    "visible flex-shrink-0",
+                    data.is_component
+                      ? "mx-0.5 h-6 w-6 text-component-icon"
+                      : "h-7 w-7 flex-shrink-0 text-flow-icon",
+                  )}
+                  name={data.is_component ? "ToyBrick" : "Group"}
+                />
+
+                <ShadTooltip content={data.name}>
+                  <div className="w-full truncate pr-3">{data.name}</div>
+                </ShadTooltip>
+                {data?.metadata !== undefined && (
+                  <div className="flex items-center gap-3">
+                    {data.private && (
+                      <ShadTooltip content="Private">
+                        <span className="flex items-center gap-1.5 text-xs text-muted-foreground">
+                          <IconComponent name="Lock" className="h-4 w-4" />
+                        </span>
+                      </ShadTooltip>
+                    )}
+                    {!data.is_component && (
+                      <ShadTooltip content="Components">
+                        <span className="flex items-center gap-1.5 text-xs text-muted-foreground">
+                          <IconComponent name="ToyBrick" className="h-4 w-4" />
+                          <span data-testid={`total-${data.name}`}>
+                            {data?.metadata?.total ?? 0}
+                          </span>
+                        </span>
+                      </ShadTooltip>
+                    )}
+                    <ShadTooltip content="Likes">
                       <span className="flex items-center gap-1.5 text-xs text-muted-foreground">
-                        <IconComponent name="Lock" className="h-4 w-4" />
+                        <IconComponent name="Heart" className={cn("h-4 w-4")} />
+                        <span data-testid={`likes-${data.name}`}>
+                          {likes_count ?? 0}
+                        </span>
                       </span>
                     </ShadTooltip>
-                  )}
-                  {!data.is_component && (
-                    <ShadTooltip content="Components">
+                    <ShadTooltip content="Downloads">
                       <span className="flex items-center gap-1.5 text-xs text-muted-foreground">
-                        <IconComponent name="ToyBrick" className="h-4 w-4" />
-                        {data?.metadata?.total ?? 0}
+                        <IconComponent
+                          name="DownloadCloud"
+                          className="h-4 w-4"
+                        />
+                        <span data-testid={`downloads-${data.name}`}>
+                          {downloads_count ?? 0}
+                        </span>
                       </span>
                     </ShadTooltip>
-                  )}
-                  <ShadTooltip content="Likes">
-                    <span className="flex items-center gap-1.5 text-xs text-muted-foreground">
-                      <IconComponent name="Heart" className={cn("h-4 w-4 ")} />
-                      {likes_count ?? 0}
-                    </span>
-                  </ShadTooltip>
-                  <ShadTooltip content="Downloads">
-                    <span className="flex items-center gap-1.5 text-xs text-muted-foreground">
-                      <IconComponent name="DownloadCloud" className="h-4 w-4" />
-                      {downloads_count ?? 0}
-                    </span>
-                  </ShadTooltip>
-                </div>
-              )}
+                  </div>
+                )}
 
-              {onDelete && data?.metadata === undefined && (
-                <DeleteConfirmationModal
-                  onConfirm={() => {
-                    onDelete();
-                  }}
-                >
-                  <IconComponent
-                    name="Trash2"
-                    className="h-5 w-5 text-primary opacity-0 transition-all hover:text-destructive group-hover:opacity-100"
-                  />
-                </DeleteConfirmationModal>
-              )}
-            </CardTitle>
-          </div>
-          {data.user_created && data.user_created.username && (
-            <span className="text-sm text-primary">
-              by <b>{data.user_created.username}</b>
-              {data.last_tested_version && (
-                <>
-                  {" "}
-                  |{" "}
-                  <span className="text-xs">
-                    {" "}
-                    ⛓︎ v{data.last_tested_version}
-                  </span>
-                </>
+                {control && (
+                  <div
+                    className="flex"
+                    onClick={(e) => {
+                      e.stopPropagation();
+                    }}
+                  >
+                    <FormField
+                      control={control}
+                      name={`${data.id}`}
+                      defaultValue={false}
+                      render={({ field }) => (
+                        <FormControl>
+                          <Checkbox
+                            aria-label="checkbox-component"
+                            checked={field.value}
+                            onCheckedChange={field.onChange}
+                            className="h-5 w-5 border border-ring data-[state=checked]:border-selected data-[state=checked]:bg-selected"
+                          />
+                        </FormControl>
+                      )}
+                    />
+                  </div>
+                )}
+              </CardTitle>
+            </div>
+            <div className="flex gap-2">
+              {data.user_created && data.user_created.username && (
+                <span className="text-sm text-primary">
+                  by <b>{data.user_created.username}</b>
+                  {data.last_tested_version && (
+                    <>
+                      {" "}
+                      |{" "}
+                      <span className="text-xs">
+                        {" "}
+                        ⛓︎ v{data.last_tested_version}
+                      </span>
+                    </>
+                  )}
+                </span>
               )}
-            </span>
-          )}
+              <div className="flex w-full flex-1 flex-wrap gap-2">
+                {/* {data.tags &&
+                  data.tags.length > 0 &&
+                  data.tags.map((tag, index) => (
+                    <Badge
+                      key={index}
+                      variant="outline"
+                      size="xq"
+                      className="text-muted-foreground"
+                    >
+                      {tag.name}
+                    </Badge>
+                  ))} */}
+              </div>
+            </div>
 
-          <CardDescription className="pb-2 pt-2">
-            <div className="truncate-doubleline">{data.description}</div>
-          </CardDescription>
-        </CardHeader>
-      </div>
+            <CardDescription className="pb-2 pt-2">
+              <div className="truncate-doubleline">{data.description}</div>
+            </CardDescription>
+          </CardHeader>
+        </div>
 
-      <CardFooter>
-        <div className="flex w-full items-center justify-between gap-2">
-          <div className="flex w-full flex-wrap items-end justify-between gap-2">
-            <div className="flex w-full flex-1 flex-wrap gap-2">
-              {data.tags &&
-                data.tags.length > 0 &&
-                data.tags.map((tag, index) => (
-                  <Badge
-                    key={index}
-                    variant="outline"
-                    size="xq"
-                    className="text-muted-foreground"
-                  >
-                    {tag.name}
-                  </Badge>
-                ))}
-            </div>
-            {data.liked_by_count != undefined && (
-              <div className="flex gap-0.5">
-                {onDelete && data?.metadata !== undefined ? (
-                  <ShadTooltip
-                    content={
-                      authorized ? "Delete" : "Please review your API key."
+        <CardFooter>
+          <div className="z-50 flex w-full items-center justify-between gap-2">
+            <div className="flex w-full flex-wrap items-end justify-end gap-2">
+              {playground && data?.metadata !== undefined ? (
+                <Button
+                  disabled={loadingPlayground || !authorized}
+                  key={data.id}
+                  tabIndex={-1}
+                  variant="outline"
+                  size="sm"
+                  className="z-50 gap-2 whitespace-nowrap"
+                  data-testid={"playground-flow-button-" + data.id}
+                  onClick={(e) => {
+                    e.preventDefault();
+                    e.stopPropagation();
+                    setLoadingPlayground(true);
+                    const flow = getFlowById(data.id);
+                    if (flow) {
+                      if (!hasPlayground(flow)) {
+                        setErrorData({
+                          title: "Error",
+                          list: ["This flow doesn't have a playground."],
+                        });
+                        setLoadingPlayground(false);
+                        return;
+                      }
+                      setCurrentFlowId(data.id);
+                      setOpenPlayground(true);
+                      setLoadingPlayground(false);
+                    } else {
+                      getFlowData().then((res) => {
+                        if (!hasPlayground(res)) {
+                          setErrorData({
+                            title: "Error",
+                            list: ["This flow doesn't have a playground."],
+                          });
+                          setLoadingPlayground(false);
+                          return;
+                        }
+                        setCurrentFlow(res);
+                        setOpenPlayground(true);
+                        setLoadingPlayground(false);
+                      });
                     }
-                  >
-                    <DeleteConfirmationModal
-                      onConfirm={() => {
-                        onDelete();
-                      }}
+                  }}
+                >
+                  {!loadingPlayground ? (
+                    <IconComponent
+                      name="BotMessageSquareIcon"
+                      className="h-4 w-4 select-none"
+                    />
+                  ) : (
+                    <Loading className="h-4 w-4 text-medium-indigo" />
+                  )}
+                  Playground
+                </Button>
+              ) : undefined}
+              {data.liked_by_count != undefined && (
+                <div className="flex gap-0.5">
+                  {onDelete && data?.metadata !== undefined ? (
+                    <ShadTooltip
+                      content={
+                        authorized ? "Delete" : "Please review your API key."
+                      }
+                    >
+                      <DeleteConfirmationModal onConfirm={onDelete}>
+                        <Button
+                          variant="ghost"
+                          size="icon"
+                          className={
+                            "whitespace-nowrap" +
+                            (!authorized ? " cursor-not-allowed" : "")
+                          }
+                        >
+                          <IconComponent
+                            data-testid={`delete-${convertTestName(data.name)}`}
+                            name="Trash2"
+                            className={cn(
+                              "h-5 w-5",
+                              !authorized ? "text-ring" : "",
+                            )}
+                          />
+                        </Button>
+                      </DeleteConfirmationModal>
+                    </ShadTooltip>
+                  ) : (
+                    <ShadTooltip
+                      content={
+                        authorized ? "Like" : "Please review your API key."
+                      }
                     >
                       <Button
+                        disabled={loadingLike}
                         variant="ghost"
-                        size="xs"
+                        size="icon"
                         className={
                           "whitespace-nowrap" +
                           (!authorized ? " cursor-not-allowed" : "")
                         }
+                        onClick={() => {
+                          if (!authorized) {
+                            return;
+                          }
+                          handleLike();
+                        }}
+                        data-testid={`like-${data.name}`}
                       >
                         <IconComponent
-                          name="Trash2"
+                          name="Heart"
                           className={cn(
                             "h-5 w-5",
-                            !authorized ? " text-ring" : ""
+                            liked_by_user
+                              ? "fill-destructive stroke-destructive"
+                              : "",
+                            !authorized ? "text-ring" : "",
                           )}
                         />
                       </Button>
-                    </DeleteConfirmationModal>
-                  </ShadTooltip>
-                ) : (
+                    </ShadTooltip>
+                  )}
                   <ShadTooltip
                     content={
-                      authorized ? "Like" : "Please review your API key."
+                      authorized
+                        ? isStore
+                          ? "Download"
+                          : "Install Locally"
+                        : "Please review your API key."
                     }
                   >
                     <Button
-                      disabled={loadingLike}
+                      disabled={loading}
                       variant="ghost"
-                      size="xs"
+                      size="icon"
                       className={
                         "whitespace-nowrap" +
-                        (!authorized ? " cursor-not-allowed" : "")
+                        (!authorized ? " cursor-not-allowed" : "") +
+                        (!loading ? " p-0.5" : "")
                       }
                       onClick={() => {
-                        if (!authorized) {
+                        if (loading || !authorized) {
                           return;
                         }
-                        handleLike();
+                        handleInstall();
                       }}
+                      data-testid={`install-${data.name}`}
                     >
                       <IconComponent
-                        name="Heart"
+                        name={
+                          loading ? "Loader2" : isStore ? "Download" : "Plus"
+                        }
                         className={cn(
-                          "h-5 w-5",
-                          liked_by_user
-                            ? "fill-destructive stroke-destructive"
-                            : "",
-                          !authorized ? " text-ring" : ""
+                          loading ? "h-5 w-5 animate-spin" : "h-5 w-5",
+                          !authorized ? "text-ring" : "",
                         )}
                       />
                     </Button>
                   </ShadTooltip>
-                )}
-                <ShadTooltip
-                  content={
-                    authorized
-                      ? isStore
-                        ? "Download"
-                        : "Install Locally"
-                      : "Please review your API key."
-                  }
-                >
-                  <Button
-                    disabled={loading}
-                    variant="ghost"
-                    size="xs"
-                    className={
-                      "whitespace-nowrap" +
-                      (!authorized ? " cursor-not-allowed" : "") +
-                      (!loading ? " p-0.5" : "")
-                    }
-                    onClick={() => {
-                      if (loading || !authorized) {
+                </div>
+              )}
+              {playground && data?.metadata === undefined && (
+                <Button
+                  disabled={loadingPlayground || !authorized}
+                  key={data.id}
+                  tabIndex={-1}
+                  variant="primary"
+                  size="sm"
+                  className="gap-2 whitespace-nowrap bg-muted"
+                  data-testid={"playground-flow-button-" + data.id}
+                  onClick={(e) => {
+                    e.preventDefault();
+                    e.stopPropagation();
+                    setLoadingPlayground(true);
+                    const flow = getFlowById(data.id);
+                    if (flow) {
+                      if (!hasPlayground(flow)) {
+                        setErrorData({
+                          title: "Error",
+                          list: ["This flow doesn't have a playground."],
+                        });
+                        setLoadingPlayground(false);
                         return;
                       }
-                      handleInstall();
-                    }}
-                  >
+                      setCurrentFlowId(data.id);
+                      setOpenPlayground(true);
+                      setLoadingPlayground(false);
+                    } else {
+                      getFlowData().then((res) => {
+                        if (!hasPlayground(res)) {
+                          setErrorData({
+                            title: "Error",
+                            list: ["This flow doesn't have a playground."],
+                          });
+                          setLoadingPlayground(false);
+                          return;
+                        }
+                        setCurrentFlow(res);
+                        setOpenPlayground(true);
+                        setLoadingPlayground(false);
+                      });
+                    }
+                  }}
+                >
+                  {!loadingPlayground ? (
                     <IconComponent
-                      name={loading ? "Loader2" : isStore ? "Download" : "Plus"}
-                      className={cn(
-                        loading ? "h-5 w-5 animate-spin" : "h-5 w-5",
-                        !authorized ? " text-ring" : ""
-                      )}
+                      name="BotMessageSquareIcon"
+                      className="h-4 w-4 select-none"
                     />
-                  </Button>
-                </ShadTooltip>
-              </div>
-            )}
-            {button && button}
+                  ) : (
+                    <Loading className="h-4 w-4 text-medium-indigo" />
+                  )}
+                  Playground
+                </Button>
+              )}
+            </div>
           </div>
-        </div>
-      </CardFooter>
-    </Card>
+        </CardFooter>
+      </Card>
+      {openPlayground && (
+        <IOModal
+          cleanOnClose={true}
+          open={openPlayground}
+          setOpen={setOpenPlayground}
+        >
+          <></>
+        </IOModal>
+      )}
+      {openDelete && (
+        <DeleteConfirmationModal
+          open={openDelete}
+          setOpen={setOpenDelete}
+          onConfirm={() => {
+            if (onDelete) onDelete();
+          }}
+          description={` ${is_component ? "component" : "flow"}`}
+        >
+          <></>
+        </DeleteConfirmationModal>
+      )}
+    </>
   );
 }
diff --git a/src/frontend/src/components/cardComponent/utils/convert-test-name.tsx b/src/frontend/src/components/cardComponent/utils/convert-test-name.tsx
new file mode 100644
index 00000000000..068b7b585c2
--- /dev/null
+++ b/src/frontend/src/components/cardComponent/utils/convert-test-name.tsx
@@ -0,0 +1,3 @@
+export function convertTestName(name: string): string {
+  return name.replace(/ /g, "-").toLowerCase();
+}
diff --git a/src/frontend/src/components/cardsWrapComponent/index.tsx b/src/frontend/src/components/cardsWrapComponent/index.tsx
index f84abbb8be2..c7ca0158842 100644
--- a/src/frontend/src/components/cardsWrapComponent/index.tsx
+++ b/src/frontend/src/components/cardsWrapComponent/index.tsx
@@ -1,5 +1,6 @@
-import { useState } from "react";
+import { useEffect, useState } from "react";
 import IconComponent from "../../components/genericIconComponent";
+import { cn } from "../../utils/utils";
 
 export default function CardsWrapComponent({
   onFileDrop,
@@ -11,6 +12,23 @@ export default function CardsWrapComponent({
   dragMessage?: string;
 }) {
   const [isDragging, setIsDragging] = useState(false);
+  useEffect(() => {
+    // Function to handle visibility change
+    const handleVisibilityChange = () => {
+      if (document.visibilityState === "visible") {
+        // Reset hover state or perform any necessary actions when the tab becomes visible again
+        setIsDragging(false);
+      }
+    };
+
+    // Add event listener for visibility change
+    document.addEventListener("visibilitychange", handleVisibilityChange);
+
+    // Cleanup event listener on component unmount
+    return () => {
+      document.removeEventListener("visibilitychange", handleVisibilityChange);
+    };
+  }, []);
 
   const dragOver = (e) => {
     e.preventDefault();
@@ -43,12 +61,12 @@ export default function CardsWrapComponent({
       onDragEnter={dragEnter}
       onDragLeave={dragLeave}
       onDrop={onDrop}
-      className={
-        "h-full w-full " +
-        (isDragging
-          ? "mb-24 flex flex-col items-center justify-center gap-4 text-2xl font-light"
-          : "")
-      }
+      className={cn(
+        "h-full w-full",
+        isDragging
+          ? "mb-36 flex flex-col items-center justify-center gap-4 text-2xl font-light"
+          : "",
+      )}
     >
       {isDragging ? (
         <>
diff --git a/src/frontend/src/components/chatComponent/buildTrigger/index.tsx b/src/frontend/src/components/chatComponent/buildTrigger/index.tsx
deleted file mode 100644
index 546f8a529cc..00000000000
--- a/src/frontend/src/components/chatComponent/buildTrigger/index.tsx
+++ /dev/null
@@ -1,189 +0,0 @@
-import { Transition } from "@headlessui/react";
-import { useState } from "react";
-import Loading from "../../../components/ui/loading";
-import { postBuildInit } from "../../../controllers/API";
-import { FlowType } from "../../../types/flow";
-
-import useAlertStore from "../../../stores/alertStore";
-import useFlowStore from "../../../stores/flowStore";
-import { parsedDataType } from "../../../types/components";
-import { validateNodes } from "../../../utils/reactflowUtils";
-import RadialProgressComponent from "../../RadialProgress";
-import IconComponent from "../../genericIconComponent";
-
-export default function BuildTrigger({
-  open,
-  flow,
-  setIsBuilt,
-}: {
-  open: boolean;
-  flow: FlowType;
-  setIsBuilt: any;
-  isBuilt: boolean;
-}): JSX.Element {
-  const updateSSEData = useFlowStore((state) => state.updateSSEData);
-  const isBuilding = useFlowStore((state) => state.isBuilding);
-  const setIsBuilding = useFlowStore((state) => state.setIsBuilding);
-  const nodes = useFlowStore((state) => state.nodes);
-  const edges = useFlowStore((state) => state.edges);
-  const setErrorData = useAlertStore((state) => state.setErrorData);
-  const setSuccessData = useAlertStore((state) => state.setSuccessData);
-  const setFlowState = useFlowStore((state) => state.setFlowState);
-
-  const eventClick = isBuilding ? "pointer-events-none" : "";
-  const [progress, setProgress] = useState(0);
-
-  async function handleBuild(flow: FlowType): Promise<void> {
-    try {
-      if (isBuilding) {
-        return;
-      }
-      const errors = validateNodes(nodes, edges);
-      if (errors.length > 0) {
-        setErrorData({
-          title: "Oops! Looks like you missed something",
-          list: errors,
-        });
-        return;
-      }
-      const minimumLoadingTime = 200; // in milliseconds
-      const startTime = Date.now();
-      setIsBuilding(true);
-
-      const allNodesValid = await streamNodeData(flow);
-      await enforceMinimumLoadingTime(startTime, minimumLoadingTime);
-      setIsBuilt(allNodesValid);
-      if (!allNodesValid) {
-        setErrorData({
-          title: "Oops! Looks like you missed something",
-          list: [
-            "Check components and retry. Hover over component status icon 🔴 to inspect.",
-          ],
-        });
-      }
-      if (errors.length === 0 && allNodesValid) {
-        setSuccessData({
-          title: "Flow is ready to run",
-        });
-      }
-    } catch (error) {
-      console.error("Error:", error);
-    } finally {
-      setIsBuilding(false);
-    }
-  }
-  async function streamNodeData(flow: FlowType) {
-    // Step 1: Make a POST request to send the flow data and receive a unique session ID
-    const response = await postBuildInit(flow);
-    const { flowId } = response.data;
-    // Step 2: Use the session ID to establish an SSE connection using EventSource
-    let validationResults: boolean[] = [];
-    const apiUrl = `/api/v1/build/stream/${flowId}`;
-    return new Promise<boolean>((resolve, reject) => {
-      const eventSource = new EventSource(apiUrl);
-
-      eventSource.onmessage = (event) => {
-        // If the event is parseable, return
-        if (!event.data) {
-          return;
-        }
-        const parsedData = JSON.parse(event.data);
-        // if the event is the end of the stream, close the connection
-        if (parsedData.end_of_stream) {
-          eventSource.close();
-          resolve(validationResults.every((result) => result));
-        } else if (parsedData.log) {
-          // If the event is a log, log it
-          setSuccessData({ title: parsedData.log });
-        } else if (parsedData.input_keys !== undefined) {
-          setFlowState(parsedData);
-        } else {
-          // Otherwise, process the data
-          const isValid = processStreamResult(parsedData);
-          setProgress(parsedData.progress);
-          validationResults.push(isValid);
-        }
-      };
-
-      eventSource.onerror = (error: any) => {
-        console.error("EventSource failed:", error);
-
-        if (error.data) {
-          const parsedData = JSON.parse(error.data);
-          setErrorData({ title: parsedData.error });
-          setIsBuilding(false);
-        }
-        eventSource.close();
-        reject(new Error("Streaming failed"));
-      };
-    });
-  }
-
-  function processStreamResult(parsedData: parsedDataType) {
-    // Process each chunk of data here
-    // Parse the chunk and update the context
-    try {
-      updateSSEData({ [parsedData.id]: parsedData });
-    } catch (err) {
-      console.log("Error parsing stream data: ", err);
-    }
-    return parsedData.valid;
-  }
-
-  async function enforceMinimumLoadingTime(
-    startTime: number,
-    minimumLoadingTime: number
-  ) {
-    const elapsedTime = Date.now() - startTime;
-    const remainingTime = minimumLoadingTime - elapsedTime;
-
-    if (remainingTime > 0) {
-      return new Promise((resolve) => setTimeout(resolve, remainingTime));
-    }
-  }
-
-  return (
-    <Transition
-      show={!open}
-      appear={true}
-      enter="transition ease-out duration-300"
-      enterFrom="translate-y-96"
-      enterTo="translate-y-0"
-      leave="transition ease-in duration-300"
-      leaveFrom="translate-y-0"
-      leaveTo="translate-y-96"
-    >
-      <div className="fixed bottom-20 right-4">
-        <div
-          className={`${eventClick} round-button-form`}
-          onClick={() => {
-            handleBuild(flow);
-          }}
-        >
-          <button>
-            <div className="round-button-div">
-              {isBuilding && progress < 1 ? (
-                // Render your loading animation here when isBuilding is true
-                <RadialProgressComponent
-                  // ! confirm below works
-                  color={"text-build-trigger"}
-                  value={progress}
-                ></RadialProgressComponent>
-              ) : isBuilding ? (
-                <Loading
-                  strokeWidth={1.5}
-                  className="build-trigger-loading-icon"
-                />
-              ) : (
-                <IconComponent
-                  name="Zap"
-                  className="sh-6 w-6 fill-build-trigger stroke-build-trigger stroke-1"
-                />
-              )}
-            </div>
-          </button>
-        </div>
-      </div>
-    </Transition>
-  );
-}
diff --git a/src/frontend/src/components/chatComponent/chatTrigger/index.tsx b/src/frontend/src/components/chatComponent/chatTrigger/index.tsx
deleted file mode 100644
index 1345448727e..00000000000
--- a/src/frontend/src/components/chatComponent/chatTrigger/index.tsx
+++ /dev/null
@@ -1,71 +0,0 @@
-import { Transition } from "@headlessui/react";
-
-import {
-  CHAT_CANNOT_OPEN_DESCRIPTION,
-  CHAT_CANNOT_OPEN_TITLE,
-  FLOW_NOT_BUILT_DESCRIPTION,
-  FLOW_NOT_BUILT_TITLE,
-} from "../../../constants/constants";
-import useAlertStore from "../../../stores/alertStore";
-import { chatTriggerPropType } from "../../../types/components";
-import IconComponent from "../../genericIconComponent";
-
-export default function ChatTrigger({
-  open,
-  setOpen,
-  isBuilt,
-  canOpen,
-}: chatTriggerPropType): JSX.Element {
-  const setErrorData = useAlertStore((state) => state.setErrorData);
-
-  function handleClick(): void {
-    if (isBuilt) {
-      if (canOpen) {
-        setOpen(true);
-      } else {
-        setErrorData({
-          title: CHAT_CANNOT_OPEN_TITLE,
-          list: [CHAT_CANNOT_OPEN_DESCRIPTION],
-        });
-      }
-    } else {
-      setErrorData({
-        title: FLOW_NOT_BUILT_TITLE,
-        list: [FLOW_NOT_BUILT_DESCRIPTION],
-      });
-    }
-  }
-
-  return (
-    <Transition
-      show={!open}
-      appear={true}
-      enter="transition ease-out duration-300"
-      enterFrom="translate-y-96"
-      enterTo="translate-y-0"
-      leave="transition ease-in duration-300"
-      leaveFrom="translate-y-0"
-      leaveTo="translate-y-96"
-    >
-      <button
-        onClick={handleClick}
-        className={
-          "shadow-round-btn-shadow hover:shadow-round-btn-shadow message-button " +
-          (!isBuilt || !canOpen ? "cursor-not-allowed" : "cursor-pointer")
-        }
-      >
-        <div className="flex gap-3">
-          <IconComponent
-            name="MessagesSquare"
-            className={
-              "h-6 w-6 transition-all " +
-              (isBuilt && canOpen
-                ? "message-button-icon"
-                : "disabled-message-button-icon")
-            }
-          />
-        </div>
-      </button>
-    </Transition>
-  );
-}
diff --git a/src/frontend/src/components/chatComponent/index.tsx b/src/frontend/src/components/chatComponent/index.tsx
index cbe978933a3..83c6c80c155 100644
--- a/src/frontend/src/components/chatComponent/index.tsx
+++ b/src/frontend/src/components/chatComponent/index.tsx
@@ -1,68 +1,178 @@
-import { useEffect, useRef, useState } from "react";
-import { useNodes } from "reactflow";
-import { ChatType } from "../../types/chat";
-import BuildTrigger from "./buildTrigger";
-import ChatTrigger from "./chatTrigger";
-
-import * as _ from "lodash";
-import FormModal from "../../modals/formModal";
+import { Transition } from "@headlessui/react";
+import { useMemo, useRef, useState } from "react";
+import { useHotkeys } from "react-hotkeys-hook";
+import IOModal from "../../modals/IOModal";
+import ApiModal from "../../modals/apiModal";
+import ShareModal from "../../modals/shareModal";
 import useFlowStore from "../../stores/flowStore";
-import { NodeType } from "../../types/flow";
+import useFlowsManagerStore from "../../stores/flowsManagerStore";
+import { useShortcutsStore } from "../../stores/shortcuts";
+import { useStoreStore } from "../../stores/storeStore";
+import { classNames, isThereModal } from "../../utils/utils";
+import ForwardedIconComponent from "../genericIconComponent";
+import { Separator } from "../ui/separator";
 
-export default function Chat({ flow }: ChatType): JSX.Element {
-  const [open, setOpen] = useState(false);
-  const isBuilt = useFlowStore((state) => state.isBuilt);
-  const setIsBuilt = useFlowStore((state) => state.setIsBuilt);
-  const flowState = useFlowStore((state) => state.flowState);
-  useEffect(() => {
-    const handleKeyDown = (event: KeyboardEvent) => {
-      if (
-        (event.key === "K" || event.key === "k") &&
-        (event.metaKey || event.ctrlKey) &&
-        isBuilt
-      ) {
-        event.preventDefault();
-        setOpen((oldState) => !oldState);
-      }
-    };
-    document.addEventListener("keydown", handleKeyDown);
-    return () => {
-      document.removeEventListener("keydown", handleKeyDown);
-    };
-  }, [isBuilt]);
+export default function FlowToolbar(): JSX.Element {
+  const preventDefault = true;
+  const [open, setOpen] = useState<boolean>(false);
+  const [openCodeModal, setOpenCodeModal] = useState<boolean>(false);
+  const [openShareModal, setOpenShareModal] = useState<boolean>(false);
+  function handleAPIWShortcut(e: KeyboardEvent) {
+    if (isThereModal() && !openCodeModal) return;
+    setOpenCodeModal((oldOpen) => !oldOpen);
+  }
 
-  const prevNodesRef = useRef<any[] | undefined>();
-  const nodes: NodeType[] = useNodes();
-  useEffect(() => {
-    const prevNodes = prevNodesRef.current;
-    const currentNodes = nodes.map((node: NodeType) =>
-      _.cloneDeep(node.data.node?.template)
-    );
-    if (JSON.stringify(prevNodes) !== JSON.stringify(currentNodes)) {
-      setIsBuilt(false);
+  function handleChatWShortcut(e: KeyboardEvent) {
+    if (isThereModal() && !open) return;
+    if (useFlowStore.getState().hasIO) {
+      setOpen((oldState) => !oldState);
     }
-    prevNodesRef.current = currentNodes;
-  }, [flowState, flow.id]);
+  }
+
+  function handleShareWShortcut(e: KeyboardEvent) {
+    if (isThereModal() && !openShareModal) return;
+    setOpenShareModal((oldState) => !oldState);
+  }
+
+  const openPlayground = useShortcutsStore((state) => state.open);
+  const api = useShortcutsStore((state) => state.api);
+  const flow = useShortcutsStore((state) => state.flow);
+
+  useHotkeys(openPlayground, handleChatWShortcut, { preventDefault });
+  useHotkeys(api, handleAPIWShortcut, { preventDefault });
+  useHotkeys(flow, handleShareWShortcut, { preventDefault });
+
+  const hasIO = useFlowStore((state) => state.hasIO);
+  const hasStore = useStoreStore((state) => state.hasStore);
+  const validApiKey = useStoreStore((state) => state.validApiKey);
+  const hasApiKey = useStoreStore((state) => state.hasApiKey);
+  const currentFlow = useFlowsManagerStore((state) => state.currentFlow);
+
+  const prevNodesRef = useRef<any[] | undefined>();
+
+  const ModalMemo = useMemo(
+    () => (
+      <ShareModal
+        is_component={false}
+        component={currentFlow!}
+        disabled={!hasApiKey || !validApiKey || !hasStore}
+        open={openShareModal}
+        setOpen={setOpenShareModal}
+      >
+        <button
+          disabled={!hasApiKey || !validApiKey || !hasStore}
+          className={classNames(
+            "relative inline-flex h-full w-full items-center justify-center gap-[4px] bg-muted px-5 py-3 text-sm font-semibold text-foreground transition-all duration-150 ease-in-out hover:bg-background hover:bg-hover",
+            !hasApiKey || !validApiKey || !hasStore
+              ? "button-disable text-muted-foreground"
+              : "",
+          )}
+        >
+          <ForwardedIconComponent
+            name="Share3"
+            className={classNames(
+              "-m-0.5 -ml-1 h-6 w-6",
+              !hasApiKey || !validApiKey || !hasStore
+                ? "extra-side-bar-save-disable"
+                : "",
+            )}
+          />
+          Share
+        </button>
+      </ShareModal>
+    ),
+    [
+      hasApiKey,
+      validApiKey,
+      currentFlow,
+      hasStore,
+      openShareModal,
+      setOpenShareModal,
+    ],
+  );
 
   return (
     <>
-      <div>
-        <BuildTrigger
-          open={open}
-          flow={flow}
-          setIsBuilt={setIsBuilt}
-          isBuilt={isBuilt}
-        />
-        {isBuilt && flowState && !!flowState?.input_keys && (
-          <FormModal key={flow.id} flow={flow} open={open} setOpen={setOpen} />
-        )}
-        <ChatTrigger
-          canOpen={!!flowState?.input_keys}
-          open={open}
-          setOpen={setOpen}
-          isBuilt={isBuilt}
-        />
-      </div>
+      <Transition
+        show={true}
+        appear={true}
+        enter="transition ease-out duration-300"
+        enterFrom="translate-y-96"
+        enterTo="translate-y-0"
+        leave="transition ease-in duration-300"
+        leaveFrom="translate-y-0"
+        leaveTo="translate-y-96"
+      >
+        <div
+          className={
+            "shadow-round-btn-shadow hover:shadow-round-btn-shadow message-button-position flex items-center justify-center gap-7 rounded-sm border bg-muted shadow-md transition-all"
+          }
+        >
+          <div className="flex">
+            <div className="flex h-full w-full gap-1 rounded-sm transition-all">
+              {hasIO ? (
+                <IOModal open={open} setOpen={setOpen} disable={!hasIO}>
+                  <div className="relative inline-flex w-full items-center justify-center gap-1 px-5 py-3 text-sm font-semibold transition-all duration-500 ease-in-out hover:bg-hover">
+                    <ForwardedIconComponent
+                      name="BotMessageSquareIcon"
+                      className={"h-5 w-5 transition-all"}
+                    />
+                    Playground
+                  </div>
+                </IOModal>
+              ) : (
+                <div
+                  className={`relative inline-flex w-full cursor-not-allowed items-center justify-center gap-1 px-5 py-3 text-sm font-semibold text-muted-foreground transition-all duration-150 ease-in-out`}
+                >
+                  <ForwardedIconComponent
+                    name="BotMessageSquareIcon"
+                    className={"h-5 w-5 transition-all"}
+                  />
+                  Playground
+                </div>
+              )}
+            </div>
+            <div>
+              <Separator orientation="vertical" />
+            </div>
+            <div className="flex cursor-pointer items-center gap-2">
+              {currentFlow && currentFlow.data && (
+                <ApiModal
+                  flow={currentFlow}
+                  open={openCodeModal}
+                  setOpen={setOpenCodeModal}
+                >
+                  <div
+                    className={classNames(
+                      "relative inline-flex w-full items-center justify-center gap-1 px-5 py-3 text-sm font-semibold text-foreground transition-all duration-150 ease-in-out hover:bg-hover",
+                    )}
+                  >
+                    <ForwardedIconComponent
+                      name="Code2"
+                      className={"h-5 w-5"}
+                    />
+                    API
+                  </div>
+                </ApiModal>
+              )}
+            </div>
+            <div>
+              <Separator orientation="vertical" />
+            </div>
+            <div className="flex items-center gap-2">
+              <div
+                className={`side-bar-button ${
+                  !hasApiKey || !validApiKey || !hasStore
+                    ? "cursor-not-allowed"
+                    : "cursor-pointer"
+                }`}
+              >
+                {ModalMemo}
+              </div>
+            </div>
+          </div>
+        </div>
+      </Transition>
     </>
   );
 }
diff --git a/src/frontend/src/components/codeAreaComponent/index.tsx b/src/frontend/src/components/codeAreaComponent/index.tsx
index 9dac530e932..00721137fa3 100644
--- a/src/frontend/src/components/codeAreaComponent/index.tsx
+++ b/src/frontend/src/components/codeAreaComponent/index.tsx
@@ -14,14 +14,16 @@ export default function CodeAreaComponent({
   setNodeClass,
   id = "",
   readonly = false,
+  open,
+  setOpen,
 }: CodeAreaComponentType) {
   const [myValue, setMyValue] = useState(
-    typeof value == "string" ? value : JSON.stringify(value)
+    typeof value == "string" ? value : JSON.stringify(value),
   );
   useEffect(() => {
     if (disabled && myValue !== "") {
       setMyValue("");
-      onChange("");
+      onChange("", true);
     }
   }, [disabled]);
 
@@ -30,8 +32,10 @@ export default function CodeAreaComponent({
   }, [value]);
 
   return (
-    <div className={disabled ? "pointer-events-none w-full " : " w-full"}>
+    <div className={disabled ? "pointer-events-none w-full" : "w-full"}>
       <CodeAreaModal
+        open={open}
+        setOpen={setOpen}
         readonly={readonly}
         dynamic={dynamic}
         value={myValue}
@@ -42,15 +46,15 @@ export default function CodeAreaComponent({
           onChange(value);
         }}
       >
-        <div className="flex w-full items-center">
+        <div className="flex w-full items-center gap-3">
           <span
             id={id}
             data-testid={id}
             className={
               editNode
                 ? "input-edit-node input-dialog"
-                : (disabled ? " input-disable input-ring " : "") +
-                  " primary-input text-muted-foreground "
+                : (disabled ? "input-disable input-ring " : "") +
+                  " primary-input text-muted-foreground"
             }
           >
             {myValue !== "" ? myValue : "Type something..."}
@@ -59,7 +63,7 @@ export default function CodeAreaComponent({
             <IconComponent
               name="ExternalLink"
               className={
-                "icons-parameters-comp" +
+                "icons-parameters-comp shrink-0" +
                 (disabled ? " text-ring" : " hover:text-accent-foreground")
               }
             />
diff --git a/src/frontend/src/components/codeTabsComponent/index.tsx b/src/frontend/src/components/codeTabsComponent/index.tsx
index 2a502074bda..4b22ac11ed2 100644
--- a/src/frontend/src/components/codeTabsComponent/index.tsx
+++ b/src/frontend/src/components/codeTabsComponent/index.tsx
@@ -2,11 +2,9 @@ import { cloneDeep } from "lodash";
 import { useEffect, useState } from "react";
 import { Prism as SyntaxHighlighter } from "react-syntax-highlighter";
 import { oneDark } from "react-syntax-highlighter/dist/cjs/styles/prism";
-import AccordionComponent from "../../components/AccordionComponent";
 import CodeAreaComponent from "../../components/codeAreaComponent";
 import Dropdown from "../../components/dropdownComponent";
 import FloatComponent from "../../components/floatComponent";
-import InputComponent from "../../components/inputComponent";
 import InputFileComponent from "../../components/inputFileComponent";
 import InputListComponent from "../../components/inputListComponent";
 import IntComponent from "../../components/intComponent";
@@ -28,6 +26,7 @@ import {
   TabsTrigger,
 } from "../../components/ui/tabs";
 import { LANGFLOW_SUPPORTED_TYPES } from "../../constants/constants";
+import { Case } from "../../shared/components/caseComponent";
 import { useDarkStore } from "../../stores/darkStore";
 import useFlowStore from "../../stores/flowStore";
 import { codeTabsPropsType } from "../../types/components";
@@ -36,10 +35,16 @@ import {
   convertValuesToNumbers,
   hasDuplicateKeys,
 } from "../../utils/reactflowUtils";
-import { classNames } from "../../utils/utils";
+import { classNames, cn } from "../../utils/utils";
+import AccordionComponent from "../accordionComponent";
 import DictComponent from "../dictComponent";
 import IconComponent from "../genericIconComponent";
+import InputComponent from "../inputComponent";
 import KeypairListComponent from "../keypairListComponent";
+import ShadTooltip from "../shadTooltipComponent";
+import { Button } from "../ui/button";
+import { Label } from "../ui/label";
+import { Switch } from "../ui/switch";
 
 export default function CodeTabsComponent({
   flow,
@@ -48,15 +53,14 @@ export default function CodeTabsComponent({
   setActiveTab,
   isMessage,
   tweaks,
+  setActiveTweaks,
+  activeTweaks,
+  allowExport = false,
 }: codeTabsPropsType) {
   const [isCopied, setIsCopied] = useState<Boolean>(false);
   const [data, setData] = useState(flow ? flow["data"]!["nodes"] : null);
-  const [openAccordion, setOpenAccordion] = useState<string[]>([]);
   const dark = useDarkStore((state) => state.dark);
   const unselectAll = useFlowStore((state) => state.unselectAll);
-
-  const setNodes = useFlowStore((state) => state.setNodes);
-
   const [errorDuplicateKey, setErrorDuplicateKey] = useState(false);
 
   useEffect(() => {
@@ -85,56 +89,20 @@ export default function CodeTabsComponent({
     });
   };
 
-  const downloadAsFile = () => {
-    const fileExtension = tabs[activeTab].language || ".txt";
-    const suggestedFileName = `${"generated-code."}${fileExtension}`;
-    const fileName = window.prompt("Enter the file name.", suggestedFileName);
-
-    if (!fileName) {
-      // user pressed cancel on prompt
-      return;
-    }
-
-    const blob = new Blob([tabs[activeTab].code], { type: "text/plain" });
-    const url = URL.createObjectURL(blob);
-    const link = document.createElement("a");
-    link.download = fileName;
-    link.href = url;
-    link.style.display = "none";
-    document.body.appendChild(link);
-    link.click();
-    document.body.removeChild(link);
-    URL.revokeObjectURL(url);
+  const type = (node, templateParam) => {
+    return node.data.node.template[templateParam].type;
   };
 
-  function openAccordions() {
-    let accordionsToOpen: string[] = [];
-    tweaks?.tweak!.current.forEach((el) => {
-      Object.keys(el).forEach((key) => {
-        if (Object.keys(el[key]).length > 0) {
-          accordionsToOpen.push(key);
-          setOpenAccordion(accordionsToOpen);
-        }
-      });
-    });
-
-    if (accordionsToOpen.length == 0) {
-      setOpenAccordion([]);
-    }
-  }
   return (
     <Tabs
       value={activeTab}
       className={
-        "api-modal-tabs " +
-        (isMessage ? "dark " : "") +
+        "api-modal-tabs inset-0 m-0 " +
+        (isMessage ? "dark" : "") +
         (dark && isMessage ? "bg-background" : "")
       }
       onValueChange={(value) => {
         setActiveTab(value);
-        if (value === "3") {
-          openAccordions();
-        }
       }}
     >
       <div className="api-modal-tablist-div">
@@ -155,36 +123,56 @@ export default function CodeTabsComponent({
         ) : (
           <div></div>
         )}
-        {Number(activeTab) < 4 && (
-          <div className="float-right mx-1 mb-1 mt-2 flex gap-2">
-            <button
-              className="flex items-center gap-1.5 rounded bg-none p-1 text-xs text-gray-500 dark:text-gray-300"
-              onClick={copyToClipboard}
-            >
-              {isCopied ? (
-                <IconComponent name="Check" className="h-4 w-4" />
-              ) : (
-                <IconComponent name="Clipboard" className="h-4 w-4" />
-              )}
-              {isCopied ? "Copied!" : "Copy code"}
-            </button>
-            <button
-              className="flex items-center gap-1.5 rounded bg-none p-1 text-xs text-gray-500 dark:text-gray-300"
-              onClick={downloadAsFile}
-            >
-              <IconComponent name="Download" className="h-5 w-5" />
-            </button>
-          </div>
-        )}
+
+        <div className="float-right mx-2 mb-1 mt-2 flex items-center gap-4">
+          {tweaks && (
+            <div className={Number(activeTab) > 2 ? "hidden" : "flex gap-2"}>
+              <Switch
+                style={{
+                  transform: `scaleX(${0.7}) scaleY(${0.7})`,
+                }}
+                id="tweaks-switch"
+                onCheckedChange={setActiveTweaks}
+                autoFocus={false}
+              />
+              <Label
+                className={cn(
+                  "relative right-1 top-[4px] text-xs font-medium text-muted-foreground",
+                  activeTweaks ? "text-primary" : "",
+                )}
+                htmlFor="tweaks-switch"
+              >
+                Tweaks
+              </Label>
+            </div>
+          )}
+
+          {Number(activeTab) < 5 && (
+            <>
+              <Button
+                variant="ghost"
+                size="icon"
+                className="text-muted-foreground"
+                onClick={copyToClipboard}
+              >
+                {isCopied ? (
+                  <IconComponent name="Check" className="h-4 w-4" />
+                ) : (
+                  <IconComponent name="Copy" className="h-4 w-4" />
+                )}
+              </Button>
+            </>
+          )}
+        </div>
       </div>
 
       {tabs.map((tab, idx) => (
         <TabsContent
           value={idx.toString()}
-          className="api-modal-tabs-content"
+          className="api-modal-tabs-content overflow-hidden"
           key={idx} // Remember to add a unique key prop
         >
-          {idx < 4 ? (
+          {idx < 5 ? (
             <div className="flex h-full w-full flex-col">
               {tab.description && (
                 <div
@@ -193,38 +181,40 @@ export default function CodeTabsComponent({
                 ></div>
               )}
               <SyntaxHighlighter
-                className="mt-0 h-full w-full overflow-auto custom-scroll"
-                language={tab.mode}
+                language={tab.language}
                 style={oneDark}
+                className="mt-0 h-full overflow-auto rounded-sm text-left custom-scroll"
               >
                 {tab.code}
               </SyntaxHighlighter>
             </div>
-          ) : idx === 4 ? (
+          ) : idx === 5 ? (
             <>
               <div className="api-modal-according-display">
                 <div
                   className={classNames(
-                    "h-[70vh] w-full rounded-lg bg-muted",
-                    1 == 1
-                      ? "overflow-scroll overflow-x-hidden custom-scroll"
-                      : "overflow-hidden"
+                    "h-[70vh] w-full overflow-y-auto overflow-x-hidden rounded-lg bg-muted custom-scroll",
                   )}
                 >
                   {data?.map((node: any, i) => (
                     <div className="px-3" key={i}>
-                      {tweaks?.tweaksList!.current.includes(
-                        node["data"]["id"]
-                      ) && (
+                      {tweaks?.tweaksList!.includes(node["data"]["id"]) && (
                         <AccordionComponent
-                          trigger={node["data"]["id"]}
-                          open={openAccordion}
+                          trigger={
+                            <ShadTooltip
+                              side="top"
+                              styleClasses="z-50"
+                              content={node["data"]["id"]}
+                            >
+                              <div>{node["data"]["node"]["display_name"]}</div>
+                            </ShadTooltip>
+                          }
                           keyValue={node["data"]["id"]}
                         >
                           <div className="api-modal-table-arrangement">
                             <Table className="table-fixed bg-muted outline-1">
                               <TableHeader className="h-10 border-input text-xs font-medium text-ring">
-                                <TableRow className="dark:border-b-muted">
+                                <TableRow className="">
                                   <TableHead className="h-7 text-center">
                                     PARAM
                                   </TableHead>
@@ -242,118 +232,82 @@ export default function CodeTabsComponent({
                                         .show &&
                                       LANGFLOW_SUPPORTED_TYPES.has(
                                         node.data.node.template[templateField]
-                                          .type
-                                      )
+                                          .type,
+                                      ),
                                   )
                                   .map((templateField, indx) => {
                                     return (
-                                      <TableRow
-                                        key={indx}
-                                        className="h-10 dark:border-b-muted"
-                                      >
+                                      <TableRow key={indx} className="h-10">
                                         <TableCell className="p-0 text-center text-sm text-foreground">
                                           {templateField}
                                         </TableCell>
                                         <TableCell className="p-0 text-xs text-foreground">
                                           <div className="m-auto w-[250px]">
-                                            {node.data.node.template[
-                                              templateField
-                                            ].type === "str" &&
-                                            !node.data.node.template[
-                                              templateField
-                                            ].options ? (
-                                              <div className="mx-auto">
-                                                {node.data.node.template[
+                                            <Case
+                                              condition={
+                                                type(node, templateField) ===
+                                                  "str" &&
+                                                !node.data.node.template[
                                                   templateField
-                                                ].list ? (
-                                                  <InputListComponent
-                                                    editNode={true}
-                                                    disabled={false}
-                                                    value={
-                                                      !node.data.node.template[
+                                                ].options
+                                              }
+                                            >
+                                              <Case
+                                                condition={
+                                                  node.data.node.template[
+                                                    templateField
+                                                  ]?.list
+                                                }
+                                              >
+                                                <InputListComponent
+                                                  componentName={templateField}
+                                                  editNode={true}
+                                                  disabled={false}
+                                                  value={
+                                                    !node.data.node.template[
+                                                      templateField
+                                                    ].value ||
+                                                    node.data.node.template[
+                                                      templateField
+                                                    ].value === ""
+                                                      ? [""]
+                                                      : node.data.node.template[
+                                                          templateField
+                                                        ].value
+                                                  }
+                                                  onChange={(target) => {
+                                                    setData((old) => {
+                                                      let newInputList =
+                                                        cloneDeep(old);
+                                                      newInputList![
+                                                        i
+                                                      ].data.node.template[
                                                         templateField
-                                                      ].value ||
+                                                      ].value = target;
+                                                      return newInputList;
+                                                    });
+                                                    tweaks?.buildTweakObject!(
+                                                      node["data"]["id"],
+                                                      target,
                                                       node.data.node.template[
                                                         templateField
-                                                      ].value === ""
-                                                        ? [""]
-                                                        : node.data.node
-                                                            .template[
-                                                            templateField
-                                                          ].value
-                                                    }
-                                                    onChange={(target) => {
-                                                      setData((old) => {
-                                                        let newInputList =
-                                                          cloneDeep(old);
-                                                        newInputList![
-                                                          i
-                                                        ].data.node.template[
-                                                          templateField
-                                                        ].value = target;
-                                                        return newInputList;
-                                                      });
-                                                      tweaks.buildTweakObject!(
-                                                        node["data"]["id"],
-                                                        target,
-                                                        node.data.node.template[
-                                                          templateField
-                                                        ]
-                                                      );
-                                                    }}
-                                                  />
-                                                ) : node.data.node.template[
+                                                      ],
+                                                    );
+                                                  }}
+                                                />
+                                              </Case>
+
+                                              <Case
+                                                condition={
+                                                  node.data.node.template[
                                                     templateField
-                                                  ].multiline ? (
-                                                  <div>
-                                                    <TextAreaComponent
-                                                      disabled={false}
-                                                      editNode={true}
-                                                      value={
-                                                        !node.data.node
-                                                          .template[
-                                                          templateField
-                                                        ].value ||
-                                                        node.data.node.template[
-                                                          templateField
-                                                        ].value === ""
-                                                          ? ""
-                                                          : node.data.node
-                                                              .template[
-                                                              templateField
-                                                            ].value
-                                                      }
-                                                      onChange={(target) => {
-                                                        setData((old) => {
-                                                          let newInputList =
-                                                            cloneDeep(old);
-                                                          newInputList![
-                                                            i
-                                                          ].data.node.template[
-                                                            templateField
-                                                          ].value = target;
-                                                          return newInputList;
-                                                        });
-                                                        tweaks.buildTweakObject!(
-                                                          node["data"]["id"],
-                                                          target,
-                                                          node.data.node
-                                                            .template[
-                                                            templateField
-                                                          ]
-                                                        );
-                                                      }}
-                                                    />
-                                                  </div>
-                                                ) : (
-                                                  <InputComponent
-                                                    editNode={true}
+                                                  ].multiline
+                                                }
+                                              >
+                                                <div>
+                                                  <TextAreaComponent
                                                     disabled={false}
-                                                    password={
-                                                      node.data.node.template[
-                                                        templateField
-                                                      ].password ?? false
-                                                    }
+                                                    editNode={true}
                                                     value={
                                                       !node.data.node.template[
                                                         templateField
@@ -378,20 +332,77 @@ export default function CodeTabsComponent({
                                                         ].value = target;
                                                         return newInputList;
                                                       });
-                                                      tweaks.buildTweakObject!(
+                                                      tweaks?.buildTweakObject!(
                                                         node["data"]["id"],
                                                         target,
                                                         node.data.node.template[
                                                           templateField
-                                                        ]
+                                                        ],
                                                       );
                                                     }}
                                                   />
-                                                )}
-                                              </div>
-                                            ) : node.data.node.template[
-                                                templateField
-                                              ].type === "bool" ? (
+                                                </div>
+                                              </Case>
+
+                                              <Case
+                                                condition={
+                                                  !node.data.node.template[
+                                                    templateField
+                                                  ].multiline &&
+                                                  !node.data.node.template[
+                                                    templateField
+                                                  ].list
+                                                }
+                                              >
+                                                <InputComponent
+                                                  editNode={true}
+                                                  disabled={false}
+                                                  password={
+                                                    node.data.node.template[
+                                                      templateField
+                                                    ].password ?? false
+                                                  }
+                                                  value={
+                                                    !node.data.node.template[
+                                                      templateField
+                                                    ].value ||
+                                                    node.data.node.template[
+                                                      templateField
+                                                    ].value === ""
+                                                      ? ""
+                                                      : node.data.node.template[
+                                                          templateField
+                                                        ].value
+                                                  }
+                                                  onChange={(target) => {
+                                                    setData((old) => {
+                                                      let newInputList =
+                                                        cloneDeep(old);
+                                                      newInputList![
+                                                        i
+                                                      ].data.node.template[
+                                                        templateField
+                                                      ].value = target;
+                                                      return newInputList;
+                                                    });
+                                                    tweaks?.buildTweakObject!(
+                                                      node["data"]["id"],
+                                                      target,
+                                                      node.data.node.template[
+                                                        templateField
+                                                      ],
+                                                    );
+                                                  }}
+                                                />
+                                              </Case>
+                                            </Case>
+
+                                            <Case
+                                              condition={
+                                                type(node, templateField) ===
+                                                "bool"
+                                              }
+                                            >
                                               <div className="ml-auto">
                                                 {" "}
                                                 <ToggleShadComponent
@@ -411,21 +422,26 @@ export default function CodeTabsComponent({
                                                       ].value = e;
                                                       return newInputList;
                                                     });
-                                                    tweaks.buildTweakObject!(
+                                                    tweaks?.buildTweakObject!(
                                                       node["data"]["id"],
                                                       e,
                                                       node.data.node.template[
                                                         templateField
-                                                      ]
+                                                      ],
                                                     );
                                                   }}
                                                   size="small"
                                                   disabled={false}
                                                 />
                                               </div>
-                                            ) : node.data.node.template[
-                                                templateField
-                                              ].type === "file" ? (
+                                            </Case>
+
+                                            <Case
+                                              condition={
+                                                type(node, templateField) ===
+                                                "file"
+                                              }
+                                            >
                                               <div className="mx-auto">
                                                 <InputFileComponent
                                                   editNode={true}
@@ -442,7 +458,7 @@ export default function CodeTabsComponent({
                                                     ].fileTypes
                                                   }
                                                   onFileChange={(
-                                                    value: any
+                                                    value: any,
                                                   ) => {
                                                     node.data.node.template[
                                                       templateField
@@ -450,9 +466,14 @@ export default function CodeTabsComponent({
                                                   }}
                                                 ></InputFileComponent>
                                               </div>
-                                            ) : node.data.node.template[
-                                                templateField
-                                              ].type === "float" ? (
+                                            </Case>
+
+                                            <Case
+                                              condition={
+                                                type(node, templateField) ===
+                                                "float"
+                                              }
+                                            >
                                               <div className="mx-auto">
                                                 <FloatComponent
                                                   disabled={false}
@@ -485,26 +506,30 @@ export default function CodeTabsComponent({
                                                       ].value = target;
                                                       return newInputList;
                                                     });
-                                                    tweaks.buildTweakObject!(
+                                                    tweaks?.buildTweakObject!(
                                                       node["data"]["id"],
                                                       target,
                                                       node.data.node.template[
                                                         templateField
-                                                      ]
+                                                      ],
                                                     );
                                                   }}
                                                 />
                                               </div>
-                                            ) : node.data.node.template[
-                                                templateField
-                                              ].type === "str" &&
-                                              node.data.node.template[
-                                                templateField
-                                              ].options ? (
+                                            </Case>
+
+                                            <Case
+                                              condition={
+                                                type(node, templateField) ===
+                                                  "str" &&
+                                                node.data.node.template[
+                                                  templateField
+                                                ].options
+                                              }
+                                            >
                                               <div className="mx-auto">
                                                 <Dropdown
                                                   editNode={true}
-                                                  apiModal={true}
                                                   options={
                                                     node.data.node.template[
                                                       templateField
@@ -521,12 +546,12 @@ export default function CodeTabsComponent({
                                                       ].value = target;
                                                       return newInputList;
                                                     });
-                                                    tweaks.buildTweakObject!(
+                                                    tweaks?.buildTweakObject!(
                                                       node["data"]["id"],
                                                       target,
                                                       node.data.node.template[
                                                         templateField
-                                                      ]
+                                                      ],
                                                     );
                                                   }}
                                                   value={
@@ -543,13 +568,23 @@ export default function CodeTabsComponent({
                                                   }
                                                 ></Dropdown>
                                               </div>
-                                            ) : node.data.node.template[
-                                                templateField
-                                              ].type === "int" ? (
+                                            </Case>
+
+                                            <Case
+                                              condition={
+                                                type(node, templateField) ===
+                                                "int"
+                                              }
+                                            >
                                               <div className="mx-auto">
                                                 <IntComponent
                                                   disabled={false}
                                                   editNode={true}
+                                                  rangeSpec={
+                                                    node.data.node.template[
+                                                      templateField
+                                                    ].rangeSpec
+                                                  }
                                                   value={
                                                     !node.data.node.template[
                                                       templateField
@@ -573,19 +608,24 @@ export default function CodeTabsComponent({
                                                       ].value = target;
                                                       return newInputList;
                                                     });
-                                                    tweaks.buildTweakObject!(
+                                                    tweaks?.buildTweakObject!(
                                                       node["data"]["id"],
                                                       target,
                                                       node.data.node.template[
                                                         templateField
-                                                      ]
+                                                      ],
                                                     );
                                                   }}
                                                 />
                                               </div>
-                                            ) : node.data.node.template[
-                                                templateField
-                                              ].type === "prompt" ? (
+                                            </Case>
+
+                                            <Case
+                                              condition={
+                                                type(node, templateField) ===
+                                                "prompt"
+                                              }
+                                            >
                                               <div className="mx-auto">
                                                 <PromptAreaComponent
                                                   readonly={true}
@@ -614,19 +654,24 @@ export default function CodeTabsComponent({
                                                       ].value = target;
                                                       return newInputList;
                                                     });
-                                                    tweaks.buildTweakObject!(
+                                                    tweaks?.buildTweakObject!(
                                                       node["data"]["id"],
                                                       target,
                                                       node.data.node.template[
                                                         templateField
-                                                      ]
+                                                      ],
                                                     );
                                                   }}
                                                 />
                                               </div>
-                                            ) : node.data.node.template[
-                                                templateField
-                                              ].type === "code" ? (
+                                            </Case>
+
+                                            <Case
+                                              condition={
+                                                type(node, templateField) ===
+                                                "code"
+                                              }
+                                            >
                                               <div className="mx-auto">
                                                 <CodeAreaComponent
                                                   disabled={false}
@@ -655,19 +700,24 @@ export default function CodeTabsComponent({
                                                       ].value = target;
                                                       return newInputList;
                                                     });
-                                                    tweaks.buildTweakObject!(
+                                                    tweaks?.buildTweakObject!(
                                                       node["data"]["id"],
                                                       target,
                                                       node.data.node.template[
                                                         templateField
-                                                      ]
+                                                      ],
                                                     );
                                                   }}
                                                 />
                                               </div>
-                                            ) : node.data.node.template[
-                                                templateField
-                                              ].type === "dict" ? (
+                                            </Case>
+
+                                            <Case
+                                              condition={
+                                                type(node, templateField) ===
+                                                "dict"
+                                              }
+                                            >
                                               <div className="mx-auto overflow-auto custom-scroll">
                                                 <KeypairListComponent
                                                   disabled={false}
@@ -684,7 +734,11 @@ export default function CodeTabsComponent({
                                                           node.data.node!
                                                             .template[
                                                             templateField
-                                                          ].value
+                                                          ].value,
+                                                          type(
+                                                            node,
+                                                            templateField,
+                                                          ),
                                                         )
                                                   }
                                                   duplicateKey={
@@ -693,15 +747,15 @@ export default function CodeTabsComponent({
                                                   onChange={(target) => {
                                                     const valueToNumbers =
                                                       convertValuesToNumbers(
-                                                        target
+                                                        target,
                                                       );
                                                     node.data.node!.template[
                                                       templateField
                                                     ].value = valueToNumbers;
                                                     setErrorDuplicateKey(
                                                       hasDuplicateKeys(
-                                                        valueToNumbers
-                                                      )
+                                                        valueToNumbers,
+                                                      ),
                                                     );
                                                     setData((old) => {
                                                       let newInputList =
@@ -713,19 +767,29 @@ export default function CodeTabsComponent({
                                                       ].value = target;
                                                       return newInputList;
                                                     });
-                                                    tweaks.buildTweakObject!(
+                                                    tweaks?.buildTweakObject!(
                                                       node["data"]["id"],
                                                       target,
                                                       node.data.node.template[
                                                         templateField
-                                                      ]
+                                                      ],
                                                     );
                                                   }}
+                                                  isList={
+                                                    node.data.node!.template[
+                                                      templateField
+                                                    ]?.list ?? false
+                                                  }
                                                 />
                                               </div>
-                                            ) : node.data.node.template[
-                                                templateField
-                                              ].type === "NestedDict" ? (
+                                            </Case>
+
+                                            <Case
+                                              condition={
+                                                type(node, templateField) ===
+                                                "NestedDict"
+                                              }
+                                            >
                                               <div className="mx-auto">
                                                 <DictComponent
                                                   disabled={false}
@@ -734,9 +798,7 @@ export default function CodeTabsComponent({
                                                     node.data.node!.template[
                                                       templateField
                                                     ].value?.toString() === "{}"
-                                                      ? {
-                                                          yourkey: "value",
-                                                        }
+                                                      ? {}
                                                       : node.data.node!
                                                           .template[
                                                           templateField
@@ -753,23 +815,26 @@ export default function CodeTabsComponent({
                                                       ].value = target;
                                                       return newInputList;
                                                     });
-                                                    tweaks.buildTweakObject!(
+                                                    tweaks?.buildTweakObject!(
                                                       node["data"]["id"],
                                                       target,
                                                       node.data.node.template[
                                                         templateField
-                                                      ]
+                                                      ],
                                                     );
                                                   }}
                                                 />
                                               </div>
-                                            ) : node.data.node.template[
-                                                templateField
-                                              ].type === "Any" ? (
-                                              "-"
-                                            ) : (
-                                              <div className="hidden"></div>
-                                            )}
+                                            </Case>
+
+                                            <Case
+                                              condition={
+                                                type(node, templateField) ===
+                                                "Any"
+                                              }
+                                            >
+                                              <>-</>
+                                            </Case>
                                           </div>
                                         </TableCell>
                                       </TableRow>
@@ -781,7 +846,7 @@ export default function CodeTabsComponent({
                         </AccordionComponent>
                       )}
 
-                      {tweaks?.tweaksList!.current.length === 0 && (
+                      {tweaks?.tweaksList!.length === 0 && (
                         <>
                           <div className="pt-3">
                             No tweaks are available for this flow.
diff --git a/src/frontend/src/components/crashErrorComponent/index.tsx b/src/frontend/src/components/crashErrorComponent/index.tsx
new file mode 100644
index 00000000000..53856411949
--- /dev/null
+++ b/src/frontend/src/components/crashErrorComponent/index.tsx
@@ -0,0 +1,65 @@
+import { XCircle } from "lucide-react";
+import { crashComponentPropsType } from "../../types/components";
+import { Button } from "../ui/button";
+import { Card, CardContent, CardFooter, CardHeader } from "../ui/card";
+
+export default function CrashErrorComponent({
+  error,
+  resetErrorBoundary,
+}: crashComponentPropsType): JSX.Element {
+  return (
+    <div className="z-50 flex h-screen w-screen items-center justify-center bg-foreground bg-opacity-50">
+      <div className="flex h-screen w-screen flex-col bg-background text-start shadow-lg">
+        <div className="m-auto grid w-1/2 justify-center gap-5 text-center">
+          <Card className="p-8">
+            <CardHeader>
+              <div className="m-auto">
+                <XCircle strokeWidth={1.5} className="h-16 w-16" />
+              </div>
+              <div>
+                <p className="mb-4 text-xl text-foreground">
+                  Sorry, we found an unexpected error!
+                </p>
+              </div>
+            </CardHeader>
+
+            <CardContent className="grid">
+              <div>
+                <p>
+                  Please report errors with detailed tracebacks on the{" "}
+                  <a
+                    href="https://github.com/langflow-ai/langflow/issues"
+                    target="_blank"
+                    rel="noopener noreferrer"
+                    className="font-medium hover:underline"
+                  >
+                    GitHub Issues
+                  </a>{" "}
+                  page.
+                  <br></br>
+                  Thank you!
+                </p>
+              </div>
+            </CardContent>
+
+            <CardFooter>
+              <div className="m-auto mt-4 flex justify-center">
+                <Button onClick={resetErrorBoundary}>Restart Langflow</Button>
+
+                <a
+                  href="https://github.com/langflow-ai/langflow/issues/new"
+                  target="_blank"
+                  rel="noopener noreferrer"
+                >
+                  <Button className="ml-3" variant={"outline"}>
+                    Report on GitHub
+                  </Button>
+                </a>
+              </div>
+            </CardFooter>
+          </Card>
+        </div>
+      </div>
+    </div>
+  );
+}
diff --git a/src/frontend/src/components/csvOutputComponent/helpers/convert-data-function.ts b/src/frontend/src/components/csvOutputComponent/helpers/convert-data-function.ts
new file mode 100644
index 00000000000..83a2316a62e
--- /dev/null
+++ b/src/frontend/src/components/csvOutputComponent/helpers/convert-data-function.ts
@@ -0,0 +1,26 @@
+export const convertCSVToData = (csvFile, csvSeparator: string) => {
+  const lines = csvFile.data.trim().split("\n");
+  const headers = lines[0].trim().split(csvSeparator);
+
+  const initialRowData: any = [];
+  const initialColDefs = headers.map((header) => ({
+    field: header.trim(),
+    wrapText: true,
+    autoHeight: true,
+    height: "100%",
+  }));
+
+  for (let i = 1; i < lines.length; i++) {
+    const data = lines[i].trim().split(csvSeparator);
+    const rowDataEntry: any = {};
+
+    for (let j = 0; j < headers.length; j++) {
+      const value = isNaN(data[j]) ? data[j] : parseFloat(data[j]);
+      rowDataEntry[headers[j].trim()] = value;
+    }
+
+    initialRowData.push(rowDataEntry);
+  }
+
+  return { rowData: initialRowData, colDefs: initialColDefs };
+};
diff --git a/src/frontend/src/components/csvOutputComponent/index.tsx b/src/frontend/src/components/csvOutputComponent/index.tsx
new file mode 100644
index 00000000000..78f5e22a9f0
--- /dev/null
+++ b/src/frontend/src/components/csvOutputComponent/index.tsx
@@ -0,0 +1,136 @@
+import "ag-grid-community/styles/ag-grid.css"; // Mandatory CSS required by the grid
+import "ag-grid-community/styles/ag-theme-balham.css"; // Optional Theme applied to the grid
+import { useEffect, useMemo, useState } from "react";
+import {
+  CSVError,
+  CSVNoDataError,
+  CSVViewErrorTitle,
+} from "../../constants/constants";
+import { useDarkStore } from "../../stores/darkStore";
+import { VertexBuildTypeAPI } from "../../types/api";
+import { NodeType } from "../../types/flow";
+import ForwardedIconComponent from "../genericIconComponent";
+import TableComponent from "../tableComponent";
+import Loading from "../ui/loading";
+import { convertCSVToData } from "./helpers/convert-data-function";
+
+function CsvOutputComponent({
+  csvNode,
+  flowPool,
+}: {
+  csvNode: NodeType;
+  flowPool: VertexBuildTypeAPI;
+}) {
+  const csvNodeArtifacts = flowPool?.data?.artifacts?.repr;
+  const jsonString = csvNodeArtifacts?.replace(/'/g, '"');
+  let file = null;
+  try {
+    file = JSON?.parse(jsonString) || "";
+  } catch (e) {
+    console.log("Error parsing JSON");
+  }
+
+  if (!file) {
+    return (
+      <div className="align-center flex h-full w-full flex-col items-center justify-center gap-5">
+        <div className="align-center flex w-full justify-center gap-2">
+          <ForwardedIconComponent name="Table" />
+          {CSVViewErrorTitle}
+        </div>
+        <div className="align-center flex w-full justify-center">
+          <div className="langflow-chat-desc align-center flex justify-center px-6 py-8">
+            <div className="langflow-chat-desc-span">{CSVError}</div>
+          </div>
+        </div>
+      </div>
+    );
+  }
+
+  const separator = csvNode?.data?.node?.template?.separator?.value || ",";
+
+  const dark = useDarkStore.getState().dark;
+
+  const [rowData, setRowData] = useState([]);
+  const [colDefs, setColDefs] = useState([]);
+
+  const [status, setStatus] = useState("loading");
+  const defaultColDef = useMemo(() => {
+    return {
+      width: 200,
+      editable: true,
+      filter: true,
+    };
+  }, []);
+
+  useEffect(() => {
+    setStatus("loading");
+    if (file) {
+      const { rowData: data, colDefs: columns } = convertCSVToData(
+        file,
+        separator,
+      );
+      setRowData(data);
+      setColDefs(columns);
+
+      setTimeout(() => {
+        setStatus("loaded");
+      }, 1000);
+    } else {
+      setStatus("nodata");
+    }
+  }, [separator]);
+
+  return (
+    <div className="h-full rounded-md border bg-muted">
+      {status === "nodata" && (
+        <div className="align-center flex h-full w-full flex-col items-center justify-center gap-5">
+          <div className="align-center flex w-full justify-center gap-2">
+            <ForwardedIconComponent name="Table" />
+            {CSVViewErrorTitle}
+          </div>
+          <div className="align-center flex w-full justify-center">
+            <div className="langflow-chat-desc align-center flex justify-center px-6 py-8">
+              <div className="langflow-chat-desc-span">{CSVNoDataError}</div>
+            </div>
+          </div>
+        </div>
+      )}
+      {status === "error" && (
+        <div className="align-center flex h-full w-full flex-col items-center justify-center gap-5">
+          <div className="align-center flex w-full justify-center gap-2">
+            <ForwardedIconComponent name="Table" />
+            {CSVViewErrorTitle}
+          </div>
+          <div className="align-center flex w-full justify-center">
+            <div className="langflow-chat-desc align-center flex justify-center px-6 py-8">
+              <div className="langflow-chat-desc-span">{CSVError}</div>
+            </div>
+          </div>
+        </div>
+      )}
+
+      {status === "loaded" && (
+        <div
+          className={`${dark ? "ag-theme-balham-dark" : "ag-theme-balham"}`}
+          style={{ height: "100%", width: "100%" }}
+        >
+          <TableComponent
+            key={"csv-output"}
+            rowData={rowData}
+            columnDefs={colDefs}
+            defaultColDef={defaultColDef}
+            scrollbarWidth={8}
+            overlayNoRowsTemplate="No data available"
+          />
+        </div>
+      )}
+      {status === "loading" && (
+        <div className="flex h-full w-full items-center justify-center align-middle">
+          <Loading />
+        </div>
+      )}
+    </div>
+  );
+}
+
+export default CsvOutputComponent;
diff --git a/src/frontend/src/components/dataOutputComponent/index.tsx b/src/frontend/src/components/dataOutputComponent/index.tsx
new file mode 100644
index 00000000000..9a3b2f66da6
--- /dev/null
+++ b/src/frontend/src/components/dataOutputComponent/index.tsx
@@ -0,0 +1,36 @@
+import { ColDef, ColGroupDef } from "ag-grid-community";
+import "ag-grid-community/styles/ag-grid.css"; // Mandatory CSS required by the grid
+import "ag-grid-community/styles/ag-theme-balham.css"; // Optional Theme applied to the grid
+import { extractColumnsFromRows } from "../../utils/utils";
+import TableComponent from "../tableComponent";
+
+function DataOutputComponent({
+  pagination,
+  rows,
+  columnMode = "union",
+}: {
+  pagination: boolean;
+  rows: any;
+  columnMode?: "intersection" | "union";
+}) {
+  const columns = extractColumnsFromRows(rows, columnMode);
+
+  const columnDefs = columns.map((col, idx) => ({
+    ...col,
+    resizable: true,
+  })) as (ColDef<any> | ColGroupDef<any>)[];
+
+  return (
+    <TableComponent
+      autoSizeStrategy={{ type: "fitGridWidth", defaultMinWidth: 100 }}
+      key={"dataOutputComponent"}
+      overlayNoRowsTemplate="No data available"
+      suppressRowClickSelection={true}
+      pagination={pagination}
+      columnDefs={columnDefs}
+      rowData={rows}
+    />
+  );
+}
+
+export default DataOutputComponent;
diff --git a/src/frontend/src/components/dateReaderComponent/index.tsx b/src/frontend/src/components/dateReaderComponent/index.tsx
new file mode 100644
index 00000000000..81c352f5a60
--- /dev/null
+++ b/src/frontend/src/components/dateReaderComponent/index.tsx
@@ -0,0 +1,21 @@
+export default function DateReader({
+  date: dateString,
+}: {
+  date: string;
+}): JSX.Element {
+  const date = new Date(dateString);
+
+  const year = date.getFullYear();
+  const month = String(date.getMonth() + 1).padStart(2, "0"); // Months are 0-indexed in JavaScript
+  const day = String(date.getDate()).padStart(2, "0");
+
+  const hours = date.getHours();
+  const minutes = String(date.getMinutes()).padStart(2, "0");
+
+  const ampm = hours >= 12 ? "PM" : "AM";
+  const hours12 = hours > 12 ? hours - 12 : hours === 0 ? 12 : hours; // Convert to 12-hour format
+
+  const formattedDate = `${year}-${month}-${day} ${hours12}:${minutes} ${ampm}`;
+
+  return <span>{formattedDate}</span>;
+}
diff --git a/src/frontend/src/components/dictComponent/index.tsx b/src/frontend/src/components/dictComponent/index.tsx
index 2cf622e93fe..e17411833d8 100644
--- a/src/frontend/src/components/dictComponent/index.tsx
+++ b/src/frontend/src/components/dictComponent/index.tsx
@@ -1,4 +1,4 @@
-import { useEffect, useRef } from "react";
+import { useEffect } from "react";
 import { DictComponentType } from "../../types/components";
 
 import DictAreaModal from "../../modals/dictAreaModal";
@@ -12,31 +12,30 @@ export default function DictComponent({
   editNode = false,
   id = "",
 }: DictComponentType): JSX.Element {
+  // Create a reference to the value
+
   useEffect(() => {
     if (disabled) {
       onChange({});
     }
   }, [disabled]);
 
-  useEffect(() => {
-    if (value) onChange(value);
-  }, [value]);
-
-  const ref = useRef(value);
   return (
     <div
       className={classNames(
         value.length > 1 && editNode ? "my-1" : "",
-        "flex flex-col gap-3"
+        "flex w-full flex-col gap-3",
+        disabled ? "pointer-events-none" : "",
       )}
     >
       {
         <div className="flex w-full gap-3" data-testid={id}>
           <DictAreaModal
-            value={ref.current}
+            value={value}
             onChange={(obj) => {
               onChange(obj);
             }}
+            disabled={disabled}
           >
             <Input
               type="text"
@@ -45,7 +44,7 @@ export default function DictComponent({
                   ? "input-edit-node input-disable pointer-events-none cursor-pointer"
                   : "input-disable pointer-events-none cursor-pointer"
               }
-              placeholder="Click to edit your dictionary..."
+              placeholder={disabled ? "" : "Click to edit your dictionary..."}
               data-testid="dict-input"
             />
           </DictAreaModal>
diff --git a/src/frontend/src/components/dropdownButtonComponent/index.tsx b/src/frontend/src/components/dropdownButtonComponent/index.tsx
new file mode 100644
index 00000000000..7e9aea5b761
--- /dev/null
+++ b/src/frontend/src/components/dropdownButtonComponent/index.tsx
@@ -0,0 +1,75 @@
+import { useState } from "react";
+import { dropdownButtonPropsType } from "../../types/components";
+import IconComponent from "../genericIconComponent";
+import { Button } from "../ui/button";
+import {
+  DropdownMenu,
+  DropdownMenuContent,
+  DropdownMenuItem,
+  DropdownMenuTrigger,
+} from "../ui/dropdown-menu";
+
+export default function DropdownButton({
+  firstButtonName,
+  onFirstBtnClick,
+  options,
+  plusButton = false,
+  dropdownOptions = true,
+}: dropdownButtonPropsType): JSX.Element {
+  const [showOptions, setShowOptions] = useState<boolean>(false);
+
+  return (
+    <div>
+      <DropdownMenu open={showOptions}>
+        <DropdownMenuTrigger asChild>
+          <Button
+            id="new-project-btn"
+            variant="primary"
+            className={
+              "relative" + dropdownOptions ? "pl-[12px]" : "pl-[12px] pr-10"
+            }
+            onClick={(event) => {
+              event.stopPropagation();
+              event.preventDefault();
+              onFirstBtnClick();
+            }}
+          >
+            {plusButton && (
+              <IconComponent name="Plus" className="main-page-nav-button" />
+            )}
+            {firstButtonName}
+            {dropdownOptions && (
+              <div
+                className="absolute right-2 items-center text-muted-foreground"
+                onClick={(event) => {
+                  event.stopPropagation();
+                  event.preventDefault();
+                  setShowOptions(!showOptions);
+                }}
+              >
+                {!showOptions ? (
+                  <IconComponent name="ChevronDown" />
+                ) : (
+                  <IconComponent name="ChevronUp" />
+                )}
+              </div>
+            )}
+          </Button>
+        </DropdownMenuTrigger>
+        <DropdownMenuContent
+          onPointerDownOutside={(event) => {
+            event.stopPropagation();
+            event.preventDefault();
+            setShowOptions(!showOptions);
+          }}
+        >
+          {options.map(({ name, onBtnClick }, index) => (
+            <DropdownMenuItem onClick={onBtnClick} key={index}>
+              {name}
+            </DropdownMenuItem>
+          ))}
+        </DropdownMenuContent>
+      </DropdownMenu>
+    </div>
+  );
+}
diff --git a/src/frontend/src/components/dropdownComponent/index.tsx b/src/frontend/src/components/dropdownComponent/index.tsx
index db488aaac7f..7a3f0fcf249 100644
--- a/src/frontend/src/components/dropdownComponent/index.tsx
+++ b/src/frontend/src/components/dropdownComponent/index.tsx
@@ -1,139 +1,134 @@
-import { Listbox, Transition } from "@headlessui/react";
-import { Fragment, useEffect, useState } from "react";
+import { PopoverAnchor } from "@radix-ui/react-popover";
+import { useRef, useState } from "react";
 import { DropDownComponentType } from "../../types/components";
-import { classNames } from "../../utils/utils";
-import IconComponent from "../genericIconComponent";
+import { cn } from "../../utils/utils";
+import { default as ForwardedIconComponent } from "../genericIconComponent";
+import { Button } from "../ui/button";
+import {
+  Command,
+  CommandEmpty,
+  CommandGroup,
+  CommandInput,
+  CommandItem,
+  CommandList,
+} from "../ui/command";
+import {
+  Popover,
+  PopoverContent,
+  PopoverContentWithoutPortal,
+  PopoverTrigger,
+} from "../ui/popover";
 
 export default function Dropdown({
+  disabled,
+  isLoading,
   value,
   options,
   onSelect,
   editNode = false,
-  numberOfOptions = 0,
-  apiModal = false,
   id = "",
+  children,
 }: DropDownComponentType): JSX.Element {
-  let [internalValue, setInternalValue] = useState(
-    value === "" || !value ? "Choose an option" : value
-  );
+  const [open, setOpen] = useState(children ? true : false);
 
-  useEffect(() => {
-    setInternalValue(value === "" || !value ? "Choose an option" : value);
-  }, [value]);
+  const refButton = useRef<HTMLButtonElement>(null);
 
+  const PopoverContentDropdown =
+    children || editNode ? PopoverContent : PopoverContentWithoutPortal;
   return (
     <>
-      {Object.keys(options)?.length > 0 ? (
+      {Object.keys(options ?? [])?.length > 0 ? (
         <>
-          <Listbox
-            value={internalValue}
-            onChange={(value) => {
-              setInternalValue(value);
-              onSelect(value);
-            }}
-          >
-            {({ open }) => (
-              <>
-                <div className={"relative mt-1"}>
-                  <Listbox.Button
-                    data-test={`${id ?? ""}`}
-                    className={
-                      editNode
-                        ? "dropdown-component-outline"
-                        : "dropdown-component-false-outline"
-                    }
-                  >
-                    <span
-                      className="dropdown-component-display"
-                      data-testid={`${id ?? ""}-display`}
-                    >
-                      {internalValue}
-                    </span>
-                    <span className={"dropdown-component-arrow"}>
-                      <IconComponent
-                        name="ChevronsUpDown"
-                        className="dropdown-component-arrow-color"
-                        aria-hidden="true"
-                      />
-                    </span>
-                  </Listbox.Button>
-
-                  <Transition
-                    show={open}
-                    as={Fragment}
-                    leave="transition ease-in duration-100"
-                    leaveFrom="opacity-100"
-                    leaveTo="opacity-0"
-                  >
-                    <Listbox.Options
-                      className={classNames(
-                        editNode
-                          ? "dropdown-component-true-options nowheel custom-scroll"
-                          : "dropdown-component-false-options nowheel custom-scroll",
-                        apiModal ? "mb-2 w-[250px]" : "absolute w-full"
-                      )}
-                    >
-                      {options?.map((option, id) => (
-                        <Listbox.Option
-                          key={id}
-                          className={({ active }) =>
-                            classNames(
-                              active ? " bg-accent" : "",
-                              editNode
-                                ? "dropdown-component-false-option"
-                                : "dropdown-component-true-option"
-                            )
-                          }
-                          value={option}
-                        >
-                          {({ selected, active }) => (
-                            <>
-                              <span
-                                className={classNames(
-                                  selected ? "font-semibold" : "font-normal",
-                                  "block truncate "
-                                )}
-                                data-testid={`${option}-${id ?? ""}-option`}
-                              >
-                                {option}
-                              </span>
+          <Popover open={open} onOpenChange={children ? () => {} : setOpen}>
+            {children ? (
+              <PopoverAnchor>{children}</PopoverAnchor>
+            ) : (
+              <PopoverTrigger asChild>
+                <Button
+                  disabled={disabled}
+                  variant="primary"
+                  size="xs"
+                  role="combobox"
+                  ref={refButton}
+                  aria-expanded={open}
+                  data-testid={`${id ?? ""}`}
+                  className={cn(
+                    editNode
+                      ? "dropdown-component-outline"
+                      : "dropdown-component-false-outline",
+                    "w-full justify-between font-normal",
+                    editNode ? "input-edit-node" : "py-2",
+                  )}
+                >
+                  <span data-testid={`value-dropdown-` + id}>
+                    {value &&
+                    value !== "" &&
+                    options.find((option) => option === value)
+                      ? options.find((option) => option === value)
+                      : "Choose an option..."}
+                  </span>
 
-                              {selected ? (
-                                <span
-                                  className={classNames(
-                                    active ? "text-background " : "",
-                                    "dropdown-component-choosal"
-                                  )}
-                                >
-                                  <IconComponent
-                                    name="Check"
-                                    className={
-                                      active
-                                        ? "dropdown-component-check-icon"
-                                        : "dropdown-component-check-icon"
-                                    }
-                                    aria-hidden="true"
-                                  />
-                                </span>
-                              ) : null}
-                            </>
-                          )}
-                        </Listbox.Option>
-                      ))}
-                    </Listbox.Options>
-                  </Transition>
-                </div>
-              </>
+                  <ForwardedIconComponent
+                    name="ChevronsUpDown"
+                    className="ml-2 h-4 w-4 shrink-0 opacity-50"
+                  />
+                </Button>
+              </PopoverTrigger>
             )}
-          </Listbox>
+            <PopoverContentDropdown
+              side="bottom"
+              avoidCollisions={!!children}
+              className="nocopy nowheel nopan nodelete nodrag noundo p-0"
+              style={
+                children
+                  ? {}
+                  : { minWidth: refButton?.current?.clientWidth ?? "200px" }
+              }
+            >
+              <Command>
+                <CommandInput placeholder="Search options..." className="h-9" />
+                <CommandList>
+                  <CommandEmpty>No values found.</CommandEmpty>
+                  <CommandGroup defaultChecked={false}>
+                    {options?.map((option, id) => (
+                      <CommandItem
+                        key={id}
+                        value={option}
+                        onSelect={(currentValue) => {
+                          onSelect(currentValue);
+                          setOpen(false);
+                        }}
+                        data-testid={`${option}-${id ?? ""}-option`}
+                      >
+                        {option}
+                        <ForwardedIconComponent
+                          name="Check"
+                          className={cn(
+                            "ml-auto h-4 w-4 text-primary",
+                            value === option ? "opacity-100" : "opacity-0",
+                          )}
+                        />
+                      </CommandItem>
+                    ))}
+                  </CommandGroup>
+                </CommandList>
+              </Command>
+            </PopoverContentDropdown>
+          </Popover>
         </>
       ) : (
         <>
-          <div>
-            <span className="text-sm italic">
-              No parameters are available for display.
-            </span>
-          </div>
+          {(!isLoading && (
+            <div>
+              <span className="text-sm italic">
+                No parameters are available for display.
+              </span>
+            </div>
+          )) || (
+            <div>
+              <span className="text-sm italic">Loading...</span>
+            </div>
+          )}
         </>
       )}
     </>
diff --git a/src/frontend/src/components/editFlowSettingsComponent/index.tsx b/src/frontend/src/components/editFlowSettingsComponent/index.tsx
new file mode 100644
index 00000000000..b15e0c36967
--- /dev/null
+++ b/src/frontend/src/components/editFlowSettingsComponent/index.tsx
@@ -0,0 +1,158 @@
+import React, { ChangeEvent, useState } from "react";
+import { Input } from "../../components/ui/input";
+import { Label } from "../../components/ui/label";
+import { Textarea } from "../../components/ui/textarea";
+import useFlowsManagerStore from "../../stores/flowsManagerStore";
+import { InputProps } from "../../types/components";
+import { cn } from "../../utils/utils";
+
+export const EditFlowSettings: React.FC<InputProps> = ({
+  name,
+  invalidNameList = [],
+  description,
+  endpointName,
+  maxLength = 50,
+  setName,
+  setDescription,
+  setEndpointName,
+}: InputProps): JSX.Element => {
+  const [isMaxLength, setIsMaxLength] = useState(false);
+  const [isEndpointNameValid, setIsEndpointNameValid] = useState(true);
+  const [isInvalidName, setIsInvalidName] = useState(false);
+  const currentFlow = useFlowsManagerStore((state) => state.currentFlow);
+
+  const handleNameChange = (event: ChangeEvent<HTMLInputElement>) => {
+    const { value } = event.target;
+    if (value.length >= maxLength) {
+      setIsMaxLength(true);
+    } else {
+      setIsMaxLength(false);
+    }
+    let invalid = false;
+    for (let i = 0; i < invalidNameList!.length; i++) {
+      if (value === invalidNameList![i]) {
+        invalid = true;
+        break;
+      }
+      if (value === currentFlow?.name) {
+        invalid = true;
+        break;
+      }
+      invalid = false;
+    }
+    setIsInvalidName(invalid);
+    setName!(value);
+  };
+
+  const handleDescriptionChange = (event: ChangeEvent<HTMLTextAreaElement>) => {
+    setDescription!(event.target.value);
+  };
+
+  const handleEndpointNameChange = (event: ChangeEvent<HTMLInputElement>) => {
+    // Validate the endpoint name
+    // use this regex r'^[a-zA-Z0-9_-]+$'
+    const isValid =
+      (/^[a-zA-Z0-9_-]+$/.test(event.target.value) &&
+        event.target.value.length <= maxLength) ||
+      // empty is also valid
+      event.target.value.length === 0;
+    setIsEndpointNameValid(isValid);
+    setEndpointName!(event.target.value);
+  };
+
+  //this function is necessary to select the text when double clicking, this was not working with the onFocus event
+  const handleFocus = (event) => event.target.select();
+
+  return (
+    <>
+      <Label>
+        <div className="edit-flow-arrangement">
+          <span className="font-medium">Name{setName ? "" : ":"}</span>{" "}
+          {isMaxLength && (
+            <span className="edit-flow-span">Character limit reached</span>
+          )}
+          {isInvalidName && (
+            <span className="edit-flow-span">Invalid name</span>
+          )}
+        </div>
+        {setName ? (
+          <Input
+            className="nopan nodelete nodrag noundo nocopy mt-2 font-normal"
+            onChange={handleNameChange}
+            type="text"
+            name="name"
+            value={name ?? ""}
+            placeholder="Flow name"
+            id="name"
+            maxLength={maxLength}
+            onDoubleClickCapture={(event) => {
+              handleFocus(event);
+            }}
+          />
+        ) : (
+          <span className="font-normal text-muted-foreground word-break-break-word">
+            {name}
+          </span>
+        )}
+      </Label>
+      <Label>
+        <div className="edit-flow-arrangement mt-3">
+          <span className="font-medium">
+            Description{setDescription ? " (optional)" : ":"}
+          </span>
+        </div>
+        {setDescription ? (
+          <Textarea
+            name="description"
+            id="description"
+            onChange={handleDescriptionChange}
+            value={description!}
+            placeholder="Flow description"
+            className="mt-2 max-h-[250px] resize-none font-normal"
+            rows={5}
+            onDoubleClickCapture={(event) => {
+              handleFocus(event);
+            }}
+          />
+        ) : (
+          <span
+            className={cn(
+              "font-normal text-muted-foreground word-break-break-word",
+              description === "" ? "font-light italic" : "",
+            )}
+          >
+            {description === "" ? "No description" : description}
+          </span>
+        )}
+      </Label>
+      {setEndpointName && (
+        <Label>
+          <div className="edit-flow-arrangement mt-3">
+            <span className="font-medium">Endpoint Name</span>
+            {!isEndpointNameValid && (
+              <span className="edit-flow-span">
+                Invalid endpoint name. Use only letters, numbers, hyphens, and
+                underscores ({maxLength} characters max).
+              </span>
+            )}
+          </div>
+          <Input
+            className="nopan nodelete nodrag noundo nocopy mt-2 font-normal"
+            onChange={handleEndpointNameChange}
+            type="text"
+            name="endpoint_name"
+            value={endpointName ?? ""}
+            placeholder="An alternative name to run the endpoint"
+            maxLength={maxLength}
+            id="endpoint_name"
+            onDoubleClickCapture={(event) => {
+              handleFocus(event);
+            }}
+          />
+        </Label>
+      )}
+    </>
+  );
+};
+
+export default EditFlowSettings;
diff --git a/src/frontend/src/components/exampleComponent/index.tsx b/src/frontend/src/components/exampleComponent/index.tsx
new file mode 100644
index 00000000000..02af6b9bc5e
--- /dev/null
+++ b/src/frontend/src/components/exampleComponent/index.tsx
@@ -0,0 +1,100 @@
+import { useNavigate } from "react-router-dom";
+import useFlowsManagerStore from "../../stores/flowsManagerStore";
+import { FlowType } from "../../types/flow";
+import { updateIds } from "../../utils/reactflowUtils";
+import { cn } from "../../utils/utils";
+import IconComponent from "../genericIconComponent";
+import ShadTooltip from "../shadTooltipComponent";
+import { Button } from "../ui/button";
+import {
+  Card,
+  CardDescription,
+  CardFooter,
+  CardHeader,
+  CardTitle,
+} from "../ui/card";
+
+export default function CollectionCardComponent({
+  flow,
+}: {
+  flow: FlowType;
+  authorized?: boolean;
+}) {
+  const addFlow = useFlowsManagerStore((state) => state.addFlow);
+  const navigate = useNavigate();
+  const emojiRegex = /\p{Emoji}/u;
+  const isEmoji = (str: string) => emojiRegex.test(str);
+
+  return (
+    <Card
+      className={cn(
+        "group relative flex h-48 w-2/6 flex-col justify-between overflow-hidden transition-all hover:shadow-md",
+      )}
+    >
+      <div>
+        <CardHeader>
+          <div>
+            <CardTitle className="flex w-full items-center justify-between gap-3 text-xl">
+              {flow.icon && isEmoji(flow.icon) && (
+                <div
+                  className="flex items-center justify-center rounded-md p-2 align-middle"
+                  style={{ backgroundColor: flow.icon_bg_color }}
+                >
+                  <div className="h-7 w-7 pl-0.5">{flow.icon}</div>
+                </div>
+              )}
+              {(!flow.icon || !isEmoji(flow.icon)) && (
+                <div
+                  className="flex items-center justify-center rounded-md p-2 align-middle"
+                  style={{ backgroundColor: flow.icon_bg_color }}
+                >
+                  <IconComponent
+                    className={cn("h-7 w-7 flex-shrink-0 text-flow-icon")}
+                    name={flow.icon || "Group"}
+                  />
+                </div>
+              )}
+              <ShadTooltip content={flow.name}>
+                <div className="w-full truncate">{flow.name}</div>
+              </ShadTooltip>
+            </CardTitle>
+          </div>
+          <CardDescription className="pb-2 pt-2">
+            <ShadTooltip
+              side="bottom"
+              styleClasses="z-50"
+              content={flow.description}
+            >
+              <div className="truncate-doubleline">{flow.description}</div>
+            </ShadTooltip>
+          </CardDescription>
+        </CardHeader>
+      </div>
+
+      <CardFooter>
+        <div className="flex w-full items-center justify-between gap-2">
+          <div className="flex w-full flex-wrap justify-end gap-2">
+            <Button
+              onClick={() => {
+                updateIds(flow.data!);
+                addFlow(true, flow).then((id) => {
+                  navigate("/flow/" + id);
+                });
+              }}
+              tabIndex={-1}
+              variant="outline"
+              size="sm"
+              className="whitespace-nowrap"
+            >
+              <IconComponent
+                name="ExternalLink"
+                className="main-page-nav-button select-none"
+              />
+              Select Flow
+            </Button>
+          </div>
+        </div>
+      </CardFooter>
+    </Card>
+  );
+}
diff --git a/src/frontend/src/components/fetchErrorComponent/index.tsx b/src/frontend/src/components/fetchErrorComponent/index.tsx
index 6004d9dfca3..5320e62fc5a 100644
--- a/src/frontend/src/components/fetchErrorComponent/index.tsx
+++ b/src/frontend/src/components/fetchErrorComponent/index.tsx
@@ -1,16 +1,40 @@
+import BaseModal from "../../modals/baseModal";
 import { fetchErrorComponentType } from "../../types/components";
 import IconComponent from "../genericIconComponent";
 
 export default function FetchErrorComponent({
   message,
   description,
+  openModal,
+  setRetry,
+  isLoadingHealth,
 }: fetchErrorComponentType) {
   return (
-    <div role="status" className="m-auto flex flex-col items-center">
-      <IconComponent className={`h-16 w-16`} name="Unplug"></IconComponent>
-      <br></br>
-      <span className="text-lg text-almost-medium-blue">{message}</span>
-      <span className="text-lg text-almost-medium-blue">{description}</span>
-    </div>
+    <>
+      <BaseModal
+        size="small-h-full"
+        open={openModal}
+        type="modal"
+        onSubmit={() => {
+          setRetry();
+        }}
+      >
+        <BaseModal.Content>
+          <div role="status" className="m-auto flex flex-col items-center">
+            <IconComponent
+              className={`h-16 w-16`}
+              name="Unplug"
+            ></IconComponent>
+            <br></br>
+            <span className="text-lg text-primary">{message}</span>
+            <span className="text-lg text-primary">{description}</span>
+          </div>
+        </BaseModal.Content>
+
+        <BaseModal.Footer
+          submit={{ label: "Retry", loading: isLoadingHealth }}
+        />
+      </BaseModal>
+    </>
   );
 }
diff --git a/src/frontend/src/components/floatComponent/index.tsx b/src/frontend/src/components/floatComponent/index.tsx
index a4ebf1ae953..8db5b823a58 100644
--- a/src/frontend/src/components/floatComponent/index.tsx
+++ b/src/frontend/src/components/floatComponent/index.tsx
@@ -16,7 +16,7 @@ export default function FloatComponent({
   // Clear component state
   useEffect(() => {
     if (disabled && value !== "") {
-      onChange("");
+      onChange("", true);
     }
   }, [disabled]);
 
diff --git a/src/frontend/src/components/genericIconComponent/index.tsx b/src/frontend/src/components/genericIconComponent/index.tsx
index 62299bdf630..9f7c687a192 100644
--- a/src/frontend/src/components/genericIconComponent/index.tsx
+++ b/src/frontend/src/components/genericIconComponent/index.tsx
@@ -1,36 +1,72 @@
-import { forwardRef } from "react";
+import dynamicIconImports from "lucide-react/dynamicIconImports";
+import { Suspense, forwardRef, lazy, memo } from "react";
 import { IconComponentProps } from "../../types/components";
 import { nodeIconsLucide } from "../../utils/styleUtils";
+import { cn } from "../../utils/utils";
+import Loading from "../ui/loading";
 
-const ForwardedIconComponent = forwardRef(
-  (
-    {
-      name,
-      className,
-      iconColor,
-      stroke,
-      strokeWidth,
-      id = "",
-    }: IconComponentProps,
-    ref
-  ) => {
-    const TargetIcon = nodeIconsLucide[name] ?? nodeIconsLucide["unknown"];
-
-    const style = {
-      strokeWidth: strokeWidth ?? 1.5,
-      ...(stroke && { stroke: stroke }),
-      ...(iconColor && { color: iconColor, stroke: stroke }),
-    };
-
-    return (
-      <TargetIcon
-        className={className}
-        style={style}
-        ref={ref}
-        data-testid={id ? `${id}-${name}` : `icon-${name}`}
-      />
-    );
-  }
+import { useEffect, useState } from "react";
+
+export const ForwardedIconComponent = memo(
+  forwardRef(
+    (
+      {
+        name,
+        className,
+        iconColor,
+        stroke,
+        strokeWidth,
+        id = "",
+      }: IconComponentProps,
+      ref,
+    ) => {
+      const [showFallback, setShowFallback] = useState(false);
+
+      useEffect(() => {
+        const timer = setTimeout(() => {
+          setShowFallback(true);
+        }, 30);
+
+        return () => clearTimeout(timer);
+      }, []);
+
+      let TargetIcon = nodeIconsLucide[name];
+      if (!TargetIcon) {
+        if (!dynamicIconImports[name]) {
+          TargetIcon = nodeIconsLucide["unknown"];
+        } else TargetIcon = lazy(dynamicIconImports[name]);
+      }
+
+      const style = {
+        strokeWidth: strokeWidth ?? 1.5,
+        ...(stroke && { stroke: stroke }),
+        ...(iconColor && { color: iconColor, stroke: stroke }),
+      };
+
+      if (!TargetIcon) {
+        return null; // Render nothing until the icon is loaded
+      }
+
+      const fallback = showFallback ? (
+        <div className={cn(className, "flex items-center justify-center")}>
+          <Loading />
+        </div>
+      ) : (
+        <div className={className}></div>
+      );
+
+      return (
+        <Suspense fallback={fallback}>
+          <TargetIcon
+            className={className}
+            style={style}
+            ref={ref}
+            data-testid={id ? `${id}-${name}` : `icon-${name}`}
+          />
+        </Suspense>
+      );
+    },
+  ),
 );
 
 export default ForwardedIconComponent;
diff --git a/src/frontend/src/components/gradientChooserComponent/index.tsx b/src/frontend/src/components/gradientChooserComponent/index.tsx
deleted file mode 100644
index bff1fbd513e..00000000000
--- a/src/frontend/src/components/gradientChooserComponent/index.tsx
+++ /dev/null
@@ -1,21 +0,0 @@
-import { gradients } from "../../utils/styleUtils";
-
-export default function GradientChooserComponent({ value, onChange }) {
-  return (
-    <div className="flex flex-wrap items-center justify-center gap-4">
-      {gradients.map((gradient, idx) => (
-        <div
-          onClick={() => {
-            onChange(gradient);
-          }}
-          className={
-            "duration-400 h-12 w-12 cursor-pointer rounded-full transition-all " +
-            gradient +
-            (value === gradient ? " shadow-lg ring-2 ring-primary" : "")
-          }
-          key={idx}
-        ></div>
-      ))}
-    </div>
-  );
-}
diff --git a/src/frontend/src/components/headerComponent/components/menuBar/index.tsx b/src/frontend/src/components/headerComponent/components/menuBar/index.tsx
index cca17006766..ba3b0e9ad91 100644
--- a/src/frontend/src/components/headerComponent/components/menuBar/index.tsx
+++ b/src/frontend/src/components/headerComponent/components/menuBar/index.tsx
@@ -8,56 +8,78 @@ import {
 } from "../../../ui/dropdown-menu";
 
 import { useNavigate } from "react-router-dom";
-import { Node } from "reactflow";
+import { UPLOAD_ERROR_ALERT } from "../../../../constants/alerts_constants";
+import { SAVED_HOVER } from "../../../../constants/constants";
+import ExportModal from "../../../../modals/exportModal";
+import FlowLogsModal from "../../../../modals/flowLogsModal";
 import FlowSettingsModal from "../../../../modals/flowSettingsModal";
+import ToolbarSelectItem from "../../../../pages/FlowPage/components/nodeToolbarComponent/toolbarSelectItem";
 import useAlertStore from "../../../../stores/alertStore";
 import useFlowStore from "../../../../stores/flowStore";
 import useFlowsManagerStore from "../../../../stores/flowsManagerStore";
+import { useShortcutsStore } from "../../../../stores/shortcuts";
+import { useTypesStore } from "../../../../stores/typesStore";
+import { cn } from "../../../../utils/utils";
 import IconComponent from "../../../genericIconComponent";
+import ShadTooltip from "../../../shadTooltipComponent";
 import { Button } from "../../../ui/button";
 
-export const MenuBar = ({
-  removeFunction,
-}: {
-  removeFunction: (nodes: Node[]) => void;
-}): JSX.Element => {
+export const MenuBar = ({}: {}): JSX.Element => {
+  const shortcuts = useShortcutsStore((state) => state.shortcuts);
   const addFlow = useFlowsManagerStore((state) => state.addFlow);
   const currentFlow = useFlowsManagerStore((state) => state.currentFlow);
   const setErrorData = useAlertStore((state) => state.setErrorData);
+  const setSuccessData = useAlertStore((state) => state.setSuccessData);
+  const setLockChat = useFlowStore((state) => state.setLockChat);
+  const setIsBuilding = useFlowStore((state) => state.setIsBuilding);
+  const revertBuiltStatusFromBuilding = useFlowStore(
+    (state) => state.revertBuiltStatusFromBuilding,
+  );
   const undo = useFlowsManagerStore((state) => state.undo);
   const redo = useFlowsManagerStore((state) => state.redo);
+  const saveLoading = useFlowsManagerStore((state) => state.saveLoading);
   const [openSettings, setOpenSettings] = useState(false);
-  const n = useFlowStore((state) => state.nodes);
-
+  const [openLogs, setOpenLogs] = useState(false);
+  const uploadFlow = useFlowsManagerStore((state) => state.uploadFlow);
   const navigate = useNavigate();
+  const isBuilding = useFlowStore((state) => state.isBuilding);
+  const getTypes = useTypesStore((state) => state.getTypes);
 
   function handleAddFlow() {
     try {
       addFlow(true).then((id) => {
         navigate("/flow/" + id);
       });
-      // saveFlowStyleInDataBase();
     } catch (err) {
       setErrorData(err as { title: string; list?: Array<string> });
     }
   }
 
+  function handleReloadComponents() {
+    getTypes(true).then(() => {
+      setSuccessData({ title: "Components reloaded successfully" });
+    });
+  }
+
+  function printByBuildStatus() {
+    if (isBuilding) {
+      return "Building...";
+    } else if (saveLoading) {
+      return "Saving...";
+    }
+    return "Saved";
+  }
+
   return currentFlow ? (
     <div className="round-button-div">
-      <button
-        onClick={() => {
-          removeFunction(n);
-          navigate(-1);
-        }}
-      >
-        <IconComponent name="ChevronLeft" className="w-4" />
-      </button>
       <div className="header-menu-bar">
         <DropdownMenu>
           <DropdownMenuTrigger asChild>
             <Button asChild variant="primary" size="sm">
               <div className="header-menu-bar-display">
-                <div className="header-menu-flow-name">{currentFlow.name}</div>
+                <div className="header-menu-flow-name" data-testid="flow_name">
+                  {currentFlow.name}
+                </div>
                 <IconComponent name="ChevronDown" className="h-4 w-4" />
               </div>
             </Button>
@@ -79,22 +101,62 @@ export const MenuBar = ({
                 setOpenSettings(true);
               }}
               className="cursor-pointer"
+            >
+              <IconComponent name="Settings2" className="header-menu-options" />
+              Settings
+            </DropdownMenuItem>
+            <DropdownMenuItem
+              onClick={() => {
+                setOpenLogs(true);
+              }}
+              className="cursor-pointer"
             >
               <IconComponent
-                name="Settings2"
-                className="header-menu-options "
+                name="ScrollText"
+                className="header-menu-options"
               />
-              Settings
+              Logs
             </DropdownMenuItem>
-
+            <DropdownMenuItem
+              className="cursor-pointer"
+              onClick={() => {
+                uploadFlow({ newProject: false, isComponent: false }).catch(
+                  (error) => {
+                    setErrorData({
+                      title: UPLOAD_ERROR_ALERT,
+                      list: [error],
+                    });
+                  },
+                );
+              }}
+            >
+              <IconComponent name="FileUp" className="header-menu-options" />
+              Import
+            </DropdownMenuItem>
+            <ExportModal>
+              <div className="header-menubar-item">
+                <IconComponent
+                  name="FileDown"
+                  className="header-menu-options"
+                />
+                Export
+              </div>
+            </ExportModal>
             <DropdownMenuItem
               onClick={() => {
                 undo();
               }}
               className="cursor-pointer"
             >
-              <IconComponent name="Undo" className="header-menu-options " />
-              Undo
+              <ToolbarSelectItem
+                value="Undo"
+                icon="Undo"
+                dataTestId=""
+                shortcut={
+                  shortcuts.find((s) => s.name.toLowerCase() === "undo")
+                    ?.shortcut!
+                }
+              />
             </DropdownMenuItem>
             <DropdownMenuItem
               onClick={() => {
@@ -102,8 +164,27 @@ export const MenuBar = ({
               }}
               className="cursor-pointer"
             >
-              <IconComponent name="Redo" className="header-menu-options " />
-              Redo
+              <ToolbarSelectItem
+                value="Redo"
+                icon="Redo"
+                dataTestId=""
+                shortcut={
+                  shortcuts.find((s) => s.name.toLowerCase() === "redo")
+                    ?.shortcut!
+                }
+              />
+            </DropdownMenuItem>
+            <DropdownMenuItem
+              onClick={() => {
+                handleReloadComponents();
+              }}
+              className="cursor-pointer"
+            >
+              <IconComponent
+                name="RefreshCcw"
+                className="header-menu-options"
+              />
+              Refresh All
             </DropdownMenuItem>
           </DropdownMenuContent>
         </DropdownMenu>
@@ -111,7 +192,54 @@ export const MenuBar = ({
           open={openSettings}
           setOpen={setOpenSettings}
         ></FlowSettingsModal>
+        <FlowLogsModal open={openLogs} setOpen={setOpenLogs}></FlowLogsModal>
       </div>
+      {(currentFlow.updated_at || saveLoading) && (
+        <ShadTooltip
+          content={
+            SAVED_HOVER +
+            new Date(currentFlow.updated_at ?? "").toLocaleString("en-US", {
+              hour: "numeric",
+              minute: "numeric",
+              second: "numeric",
+            })
+          }
+          side="bottom"
+          styleClasses="cursor-default"
+        >
+          <div className="flex cursor-default items-center gap-2 text-sm text-muted-foreground transition-all">
+            <div className="flex cursor-default items-center gap-1.5 text-sm text-muted-foreground transition-all">
+              <IconComponent
+                name={isBuilding || saveLoading ? "Loader2" : "CheckCircle2"}
+                className={cn(
+                  "h-4 w-4",
+                  isBuilding || saveLoading ? "animate-spin" : "animate-wiggle",
+                )}
+              />
+              <div>{printByBuildStatus()}</div>
+            </div>
+            <button
+              disabled={!isBuilding}
+              onClick={(_) => {
+                if (isBuilding) {
+                  setIsBuilding(false);
+                  revertBuiltStatusFromBuilding();
+                  setLockChat(false);
+                  window.stop();
+                }
+              }}
+              className={
+                isBuilding
+                  ? "flex items-center gap-1.5 text-status-red opacity-100 transition-all"
+                  : "opacity-0"
+              }
+            >
+              <IconComponent name="Square" className="h-4 w-4" />
+              <span>Stop</span>
+            </button>
+          </div>
+        </ShadTooltip>
+      )}
     </div>
   ) : (
     <></>
diff --git a/src/frontend/src/components/headerComponent/index.tsx b/src/frontend/src/components/headerComponent/index.tsx
index efe9d73a434..52818f9407c 100644
--- a/src/frontend/src/components/headerComponent/index.tsx
+++ b/src/frontend/src/components/headerComponent/index.tsx
@@ -1,18 +1,24 @@
-import { useContext, useEffect } from "react";
-import { FaDiscord, FaGithub, FaTwitter } from "react-icons/fa";
+import { useContext } from "react";
+import { FaDiscord, FaGithub } from "react-icons/fa";
+import { RiTwitterXFill } from "react-icons/ri";
 import { Link, useLocation, useNavigate, useParams } from "react-router-dom";
 import AlertDropdown from "../../alerts/alertDropDown";
-import { USER_PROJECTS_HEADER } from "../../constants/constants";
+import profileCircle from "../../assets/profile-circle.png";
+import {
+  BACKEND_URL,
+  BASE_URL_API,
+  LOCATIONS_TO_RETURN,
+  USER_PROJECTS_HEADER,
+} from "../../constants/constants";
 import { AuthContext } from "../../contexts/authContext";
 
-import { Node } from "reactflow";
 import useAlertStore from "../../stores/alertStore";
 import { useDarkStore } from "../../stores/darkStore";
 import useFlowStore from "../../stores/flowStore";
 import useFlowsManagerStore from "../../stores/flowsManagerStore";
+import { useLocationStore } from "../../stores/locationStore";
 import { useStoreStore } from "../../stores/storeStore";
-import { gradients } from "../../utils/styleUtils";
-import IconComponent from "../genericIconComponent";
+import IconComponent, { ForwardedIconComponent } from "../genericIconComponent";
 import { Button } from "../ui/button";
 import {
   DropdownMenu,
@@ -28,80 +34,102 @@ import MenuBar from "./components/menuBar";
 export default function Header(): JSX.Element {
   const notificationCenter = useAlertStore((state) => state.notificationCenter);
   const location = useLocation();
+
   const { logout, autoLogin, isAdmin, userData } = useContext(AuthContext);
+
   const navigate = useNavigate();
   const removeFlow = useFlowsManagerStore((store) => store.removeFlow);
   const hasStore = useStoreStore((state) => state.hasStore);
   const { id } = useParams();
-  const n = useFlowStore((state) => state.nodes);
+  const nodes = useFlowStore((state) => state.nodes);
 
   const dark = useDarkStore((state) => state.dark);
   const setDark = useDarkStore((state) => state.setDark);
   const stars = useDarkStore((state) => state.stars);
 
-  useEffect(() => {
-    if (dark) {
-      document.getElementById("body")!.classList.add("dark");
-    } else {
-      document.getElementById("body")!.classList.remove("dark");
-    }
-    window.localStorage.setItem("isDark", dark.toString());
-  }, [dark]);
+  const routeHistory = useLocationStore((state) => state.routeHistory);
 
-  async function checkForChanges(nodes: Node[]): Promise<void> {
+  const profileImageUrl =
+    `${BACKEND_URL.slice(
+      0,
+      BACKEND_URL.length - 1,
+    )}${BASE_URL_API}files/profile_pictures/${userData?.profile_image}` ??
+    profileCircle;
+  async function checkForChanges(): Promise<void> {
     if (nodes.length === 0) {
       await removeFlow(id!);
     }
   }
 
+  const redirectToLastLocation = () => {
+    const lastFlowVisitedIndex = routeHistory
+      .reverse()
+      .findIndex(
+        (path) => path.includes("/flow/") && path !== location.pathname,
+      );
+
+    const lastFlowVisited = routeHistory[lastFlowVisitedIndex];
+    lastFlowVisited && !location.pathname.includes("/flow")
+      ? navigate(lastFlowVisited)
+      : navigate("/all");
+  };
+
+  const visitedFlowPathBefore = () => {
+    const last100VisitedPaths = routeHistory.slice(-99);
+    return last100VisitedPaths.some((path) => path.includes("/flow/"));
+  };
+
+  const showArrowReturnIcon =
+    LOCATIONS_TO_RETURN.some((path) => location.pathname.includes(path)) &&
+    visitedFlowPathBefore();
+
   return (
     <div className="header-arrangement">
-      <div className="header-start-display lg:w-[30%]">
-        <Link to="/" onClick={() => checkForChanges(n)}>
+      <div className="header-start-display lg:w-[407px]">
+        <Link to="/all" className="cursor-pointer" onClick={checkForChanges}>
           <span className="ml-4 text-2xl">⛓️</span>
         </Link>
-        <MenuBar removeFunction={checkForChanges} />
+        {showArrowReturnIcon && (
+          <Button
+            unstyled
+            onClick={() => {
+              checkForChanges();
+              redirectToLastLocation();
+            }}
+          >
+            <IconComponent name="ChevronLeft" className="w-4" />
+          </Button>
+        )}
+
+        <MenuBar />
       </div>
+
       <div className="round-button-div">
         <Link to="/">
           <Button
             className="gap-2"
             variant={
-              location.pathname === "/flows" ||
+              location.pathname === "/all" ||
               location.pathname === "/components"
                 ? "primary"
                 : "secondary"
             }
             size="sm"
-            onClick={() => {
-              checkForChanges(n);
-            }}
+            onClick={checkForChanges}
           >
             <IconComponent name="Home" className="h-4 w-4" />
             <div className="hidden flex-1 md:block">{USER_PROJECTS_HEADER}</div>
           </Button>
         </Link>
-        {/* <Link to="/community">
-          <Button
-            className="gap-2"
-            variant={
-              location.pathname === "/community" ? "primary" : "secondary"
-            }
-            size="sm"
-          >
-            <IconComponent name="Users2" className="h-4 w-4" />
-            <div className="flex-1">Community Examples</div>
-          </Button>
-        </Link> */}
+
         {hasStore && (
           <Link to="/store">
             <Button
               className="gap-2"
               variant={location.pathname === "/store" ? "primary" : "secondary"}
               size="sm"
-              onClick={() => {
-                checkForChanges(n);
-              }}
+              onClick={checkForChanges}
+              data-testid="button-store"
             >
               <IconComponent name="Store" className="h-4 w-4" />
               <div className="flex-1">Store</div>
@@ -109,10 +137,10 @@ export default function Header(): JSX.Element {
           </Link>
         )}
       </div>
-      <div className="header-end-division lg:w-[30%]">
+      <div className="header-end-division lg:w-[407px]">
         <div className="header-end-display">
           <a
-            href="https://github.com/logspace-ai/langflow"
+            href="https://github.com/langflow-ai/langflow"
             target="_blank"
             rel="noreferrer"
             className="header-github-link gap-2"
@@ -127,7 +155,7 @@ export default function Header(): JSX.Element {
             rel="noreferrer"
             className="text-muted-foreground"
           >
-            <FaTwitter className="side-bar-button-size" />
+            <RiTwitterXFill className="side-bar-button-size" />
           </a>
           <a
             href="https://discord.gg/EqksyE2EX9"
@@ -163,62 +191,116 @@ export default function Header(): JSX.Element {
               />
             </div>
           </AlertDropdown>
-          {!autoLogin && (
-            <button
-              onClick={() => {
-                navigate("/account/api-keys");
-              }}
-            >
-              <IconComponent
-                name="Key"
-                className="side-bar-button-size text-muted-foreground hover:text-accent-foreground"
-              />
-            </button>
-          )}
-          {!autoLogin && (
-            <>
-              <Separator orientation="vertical" />
-              <DropdownMenu>
-                <DropdownMenuTrigger asChild>
-                  <button
-                    className={
-                      "h-7 w-7 rounded-full focus-visible:outline-0 " +
-                      (userData?.profile_image ??
-                        gradients[
-                          parseInt(userData?.id ?? "", 30) % gradients.length
-                        ])
+
+          <>
+            <Separator orientation="vertical" />
+            <DropdownMenu>
+              <DropdownMenuTrigger asChild>
+                <Button
+                  unstyled
+                  data-testid="user-profile-settings"
+                  className="shrink-0"
+                >
+                  <img
+                    src={
+                      `${BACKEND_URL.slice(
+                        0,
+                        BACKEND_URL.length - 1,
+                      )}${BASE_URL_API}files/profile_pictures/${
+                        userData?.profile_image ?? "Space/046-rocket.svg"
+                      }` ?? profileCircle
                     }
+                    className="h-7 w-7 shrink-0 focus-visible:outline-0"
+                  />
+                </Button>
+              </DropdownMenuTrigger>
+              <DropdownMenuContent className="mr-1 mt-1 min-w-40">
+                {!autoLogin && (
+                  <>
+                    <DropdownMenuLabel>
+                      <div className="flex items-center gap-3">
+                        <img
+                          src={
+                            `${BACKEND_URL.slice(
+                              0,
+                              BACKEND_URL.length - 1,
+                            )}${BASE_URL_API}files/profile_pictures/${
+                              userData?.profile_image ?? "Space/046-rocket.svg"
+                            }` ?? profileCircle
+                          }
+                          className="h-5 w-5 focus-visible:outline-0"
+                        />
+
+                        {userData?.username ?? "User"}
+                      </div>
+                    </DropdownMenuLabel>
+                    <DropdownMenuSeparator />
+                  </>
+                )}
+                <DropdownMenuLabel>General</DropdownMenuLabel>
+                <DropdownMenuItem
+                  className="cursor-pointer gap-2"
+                  onClick={() => navigate("/settings")}
+                >
+                  <ForwardedIconComponent name="Settings" className="w-4" />
+                  Settings
+                </DropdownMenuItem>
+                {!autoLogin && (
+                  <>
+                    {isAdmin && (
+                      <DropdownMenuItem
+                        className="cursor-pointer gap-2"
+                        onClick={() => navigate("/admin")}
+                      >
+                        <ForwardedIconComponent name="Shield" className="w-4" />
+                        Admin Page
+                      </DropdownMenuItem>
+                    )}
+                  </>
+                )}
+                <DropdownMenuSeparator />
+                <DropdownMenuLabel>Help</DropdownMenuLabel>
+                <DropdownMenuItem
+                  className="cursor-pointer gap-2"
+                  onClick={() =>
+                    window.open("https://docs.langflow.org/", "_blank")
+                  }
+                >
+                  <ForwardedIconComponent name="FileText" className="w-4" />
+                  Docs
+                </DropdownMenuItem>
+                <DropdownMenuItem
+                  className="cursor-pointer gap-2"
+                  onClick={() =>
+                    window.open(
+                      "https://github.com/langflow-ai/langflow/discussions",
+                      "_blank",
+                    )
+                  }
+                >
+                  <ForwardedIconComponent
+                    name="MessagesSquare"
+                    className="w-4"
                   />
-                </DropdownMenuTrigger>
-                <DropdownMenuContent>
-                  <DropdownMenuLabel>My Account</DropdownMenuLabel>
-                  <DropdownMenuSeparator />
-                  {isAdmin && (
+                  Discussions
+                </DropdownMenuItem>
+                {!autoLogin && (
+                  <>
+                    <DropdownMenuSeparator />
                     <DropdownMenuItem
-                      className="cursor-pointer"
-                      onClick={() => navigate("/admin")}
+                      className="cursor-pointer gap-2"
+                      onClick={() => {
+                        logout();
+                      }}
                     >
-                      Admin Page
+                      <ForwardedIconComponent name="LogOut" className="w-4" />
+                      Log Out
                     </DropdownMenuItem>
-                  )}
-                  <DropdownMenuItem
-                    className="cursor-pointer"
-                    onClick={() => navigate("/account/settings")}
-                  >
-                    Profile Settings
-                  </DropdownMenuItem>
-                  <DropdownMenuItem
-                    className="cursor-pointer"
-                    onClick={() => {
-                      logout();
-                    }}
-                  >
-                    Sign Out
-                  </DropdownMenuItem>
-                </DropdownMenuContent>
-              </DropdownMenu>
-            </>
-          )}
+                  </>
+                )}
+              </DropdownMenuContent>
+            </DropdownMenu>
+          </>
         </div>
       </div>
     </div>
diff --git a/src/frontend/src/components/horizontalScrollFadeComponent/index.tsx b/src/frontend/src/components/horizontalScrollFadeComponent/index.tsx
new file mode 100644
index 00000000000..e0bf4891700
--- /dev/null
+++ b/src/frontend/src/components/horizontalScrollFadeComponent/index.tsx
@@ -0,0 +1,61 @@
+import { useEffect, useRef, useState } from "react";
+
+export default function HorizontalScrollFadeComponent({
+  children,
+  isFolder = true,
+}) {
+  const scrollContainerRef = useRef<HTMLDivElement>(null);
+  const fadeContainerRef = useRef<HTMLDivElement>(null);
+  const [divWidth, setDivWidth] = useState<number>(0);
+
+  useEffect(() => {
+    const handleResize = () => {
+      if (scrollContainerRef.current) {
+        setDivWidth(scrollContainerRef.current.clientWidth);
+      }
+    };
+
+    window.addEventListener("resize", handleResize);
+    handleResize(); // call the function at start to get the initial width
+    return () => window.removeEventListener("resize", handleResize);
+  }, []);
+
+  useEffect(() => {
+    const handleScroll = () => {
+      if (!scrollContainerRef.current || !fadeContainerRef.current) return;
+
+      const { scrollLeft, scrollWidth, clientWidth } =
+        scrollContainerRef.current;
+      const atStart = scrollLeft === 0;
+      const atEnd = scrollLeft === scrollWidth - clientWidth;
+      const isScrollable = scrollWidth > clientWidth;
+
+      fadeContainerRef.current.classList.toggle(
+        "fade-left",
+        isScrollable && !atStart,
+      );
+      fadeContainerRef.current.classList.toggle(
+        "fade-right",
+        isScrollable && !atEnd,
+      );
+    };
+
+    const scrollContainer = scrollContainerRef.current;
+    if (scrollContainer) {
+      scrollContainer.addEventListener("scroll", handleScroll);
+      // Delay the initial scroll event dispatch to ensure correct calculation
+      scrollContainer.dispatchEvent(new Event("scroll"));
+      return () => scrollContainer.removeEventListener("scroll", handleScroll);
+    }
+  }, [divWidth, children]); // Depend on divWidth
+
+  return isFolder ? (
+    <div className="hidden w-full flex-col gap-2 lg:flex">{children}</div>
+  ) : (
+    <div ref={fadeContainerRef} className="fade-container flex">
+      <div ref={scrollContainerRef} className="scroll-container flex gap-2">
+        {children}
+      </div>
+    </div>
+  );
+}
diff --git a/src/frontend/src/components/inputComponent/components/popover/index.tsx b/src/frontend/src/components/inputComponent/components/popover/index.tsx
new file mode 100644
index 00000000000..d0c51f06414
--- /dev/null
+++ b/src/frontend/src/components/inputComponent/components/popover/index.tsx
@@ -0,0 +1,199 @@
+import { PopoverAnchor } from "@radix-ui/react-popover";
+import useAlertStore from "../../../../stores/alertStore";
+import { classNames, cn } from "../../../../utils/utils";
+import ForwardedIconComponent from "../../../genericIconComponent";
+import {
+  Command,
+  CommandGroup,
+  CommandInput,
+  CommandItem,
+  CommandList,
+} from "../../../ui/command";
+import { Input } from "../../../ui/input";
+import {
+  Popover,
+  PopoverContent,
+  PopoverContentWithoutPortal,
+} from "../../../ui/popover";
+const CustomInputPopover = ({
+  id,
+  refInput,
+  onInputLostFocus,
+  selectedOption,
+  setSelectedOption,
+  selectedOptions,
+  setSelectedOptions,
+  value,
+  autoFocus,
+  disabled,
+  setShowOptions,
+  required,
+  className,
+  password,
+  pwdVisible,
+  editNode,
+  placeholder,
+  onChange,
+  blurOnEnter,
+  options,
+  optionsPlaceholder,
+  optionButton,
+  optionsButton,
+  handleKeyDown,
+  showOptions,
+}) => {
+  const setErrorData = useAlertStore.getState().setErrorData;
+  const PopoverContentInput = editNode
+    ? PopoverContent
+    : PopoverContentWithoutPortal;
+
+  const handleInputChange = (e) => {
+    if (password) {
+      if (
+        e.target.value.split("").every((char) => char === "•") &&
+        e.target.value !== ""
+      ) {
+        setErrorData({
+          title: `Invalid characters: ${e.target.value}`,
+          list: [
+            "It seems you are trying to paste a password. Make sure the value is visible before copying from another field.",
+          ],
+        });
+      }
+    }
+    onChange && onChange(e.target.value);
+  };
+  return (
+    <Popover modal open={showOptions} onOpenChange={setShowOptions}>
+      <PopoverAnchor>
+        <Input
+          id={id}
+          ref={refInput}
+          type="text"
+          onBlur={onInputLostFocus}
+          value={
+            (selectedOption !== "" || !onChange) && setSelectedOption
+              ? selectedOption
+              : (selectedOptions?.length !== 0 || !onChange) &&
+                  setSelectedOptions
+                ? selectedOptions?.join(", ")
+                : value
+          }
+          autoFocus={autoFocus}
+          disabled={disabled}
+          onClick={() => {
+            (((selectedOption !== "" || !onChange) && setSelectedOption) ||
+              ((selectedOptions?.length !== 0 || !onChange) &&
+                setSelectedOptions)) &&
+              setShowOptions(true);
+          }}
+          required={required}
+          className={classNames(
+            password &&
+              (!setSelectedOption || selectedOption === "") &&
+              !pwdVisible &&
+              value !== ""
+              ? "text-clip password"
+              : "",
+            editNode ? "input-edit-node" : "",
+            password && (setSelectedOption || setSelectedOptions)
+              ? "pr-[62.9px]"
+              : "",
+            (!password && (setSelectedOption || setSelectedOptions)) ||
+              (password && !(setSelectedOption || setSelectedOptions))
+              ? "pr-8"
+              : "",
+            className!,
+          )}
+          placeholder={password && editNode ? "Key" : placeholder}
+          onChange={handleInputChange}
+          onKeyDown={(e) => {
+            handleKeyDown(e);
+            if (blurOnEnter && e.key === "Enter") refInput.current?.blur();
+          }}
+          data-testid={editNode ? id + "-edit" : id}
+        />
+      </PopoverAnchor>
+      <PopoverContentInput
+        className="nocopy nowheel nopan nodelete nodrag noundo p-0"
+        style={{ minWidth: refInput?.current?.clientWidth ?? "200px" }}
+        side="bottom"
+        align="center"
+      >
+        <Command
+          filter={(value, search) => {
+            if (
+              value.toLowerCase().includes(search.toLowerCase()) ||
+              value.includes("doNotFilter-")
+            )
+              return 1;
+            return 0;
+          }}
+        >
+          <CommandInput placeholder={optionsPlaceholder} />
+          <CommandList>
+            <CommandGroup defaultChecked={false}>
+              {options.map((option, id) => (
+                <CommandItem
+                  className="group"
+                  key={option + id}
+                  value={option}
+                  onSelect={(currentValue) => {
+                    setSelectedOption &&
+                      setSelectedOption(
+                        currentValue === selectedOption ? "" : currentValue,
+                      );
+                    setSelectedOptions &&
+                      setSelectedOptions(
+                        selectedOptions?.includes(currentValue)
+                          ? selectedOptions.filter(
+                              (item) => item !== currentValue,
+                            )
+                          : [...selectedOptions, currentValue],
+                      );
+                    !setSelectedOptions && setShowOptions(false);
+                  }}
+                >
+                  <div className="group flex w-full items-center justify-between">
+                    <div className="flex items-center">
+                      <div
+                        className={cn(
+                          "relative mr-2 h-4 w-4",
+                          selectedOption === option ||
+                            selectedOptions?.includes(option)
+                            ? "opacity-100"
+                            : "opacity-0",
+                        )}
+                      >
+                        <div className="absolute opacity-100 transition-all group-hover:opacity-0">
+                          <ForwardedIconComponent
+                            name="Check"
+                            className="mr-2 h-4 w-4 text-primary"
+                            aria-hidden="true"
+                          />
+                        </div>
+                        <div className="absolute opacity-0 transition-all group-hover:opacity-100">
+                          <ForwardedIconComponent
+                            name="X"
+                            className="mr-2 h-4 w-4 text-status-red"
+                            aria-hidden="true"
+                          />
+                        </div>
+                      </div>
+
+                      {option}
+                    </div>
+                    {optionButton && optionButton(option)}
+                  </div>
+                </CommandItem>
+              ))}
+              {optionsButton && optionsButton}
+            </CommandGroup>
+          </CommandList>
+        </Command>
+      </PopoverContentInput>
+    </Popover>
+  );
+};
+
+export default CustomInputPopover;
diff --git a/src/frontend/src/components/inputComponent/components/popoverObject/index.tsx b/src/frontend/src/components/inputComponent/components/popoverObject/index.tsx
new file mode 100644
index 00000000000..e907ec239f1
--- /dev/null
+++ b/src/frontend/src/components/inputComponent/components/popoverObject/index.tsx
@@ -0,0 +1,176 @@
+import { PopoverAnchor } from "@radix-ui/react-popover";
+import { classNames, cn } from "../../../../utils/utils";
+import ForwardedIconComponent from "../../../genericIconComponent";
+import {
+  Command,
+  CommandGroup,
+  CommandInput,
+  CommandItem,
+  CommandList,
+} from "../../../ui/command";
+import { Input } from "../../../ui/input";
+import {
+  Popover,
+  PopoverContent,
+  PopoverContentWithoutPortal,
+} from "../../../ui/popover";
+const CustomInputPopoverObject = ({
+  id,
+  refInput,
+  onInputLostFocus,
+  selectedOption,
+  setSelectedOption,
+  selectedOptions,
+  setSelectedOptions,
+  value,
+  autoFocus,
+  disabled,
+  setShowOptions,
+  required,
+  editNode,
+  className,
+  placeholder,
+  onChange,
+  blurOnEnter,
+  options,
+  optionsPlaceholder,
+  optionButton,
+  optionsButton,
+  handleKeyDown,
+  showOptions,
+}) => {
+  const PopoverContentInput = editNode
+    ? PopoverContent
+    : PopoverContentWithoutPortal;
+
+  const handleInputChange = (e) => {
+    onChange && onChange(e.target.value);
+  };
+
+  return (
+    <Popover modal open={showOptions} onOpenChange={setShowOptions}>
+      <PopoverAnchor>
+        <Input
+          id={id}
+          ref={refInput}
+          type="text"
+          onBlur={onInputLostFocus}
+          value={
+            (selectedOption !== "" || !onChange) && setSelectedOption
+              ? options.find((option) => option.id === selectedOption)?.name ||
+                ""
+              : (selectedOptions?.length !== 0 || !onChange) &&
+                  setSelectedOptions
+                ? selectedOptions
+                    .map(
+                      (optionId) =>
+                        options.find((option) => option.id === optionId)?.name,
+                    )
+                    .join(", ")
+                : value
+          }
+          autoFocus={autoFocus}
+          disabled={disabled}
+          onClick={() => {
+            (((selectedOption !== "" || !onChange) && setSelectedOption) ||
+              ((selectedOptions?.length !== 0 || !onChange) &&
+                setSelectedOptions)) &&
+              setShowOptions(true);
+          }}
+          required={required}
+          className={classNames(className!)}
+          placeholder={placeholder}
+          onChange={handleInputChange}
+          onKeyDown={(e) => {
+            handleKeyDown(e);
+            if (blurOnEnter && e.key === "Enter") refInput.current?.blur();
+          }}
+          data-testid={id}
+        />
+      </PopoverAnchor>
+      <PopoverContentInput
+        className="nocopy nowheel nopan nodelete nodrag noundo p-0"
+        style={{ minWidth: refInput?.current?.clientWidth ?? "200px" }}
+        side="bottom"
+        align="center"
+      >
+        <Command
+          filter={(value, search) => {
+            if (
+              value.toLowerCase().includes(search.toLowerCase()) ||
+              value.includes("doNotFilter-")
+            )
+              return 1;
+            return 0;
+          }}
+        >
+          <CommandInput placeholder={optionsPlaceholder} />
+          <CommandList>
+            <CommandGroup defaultChecked={false}>
+              {options.map((option, index) => (
+                <CommandItem
+                  className="group"
+                  key={option.id}
+                  value={option.id}
+                  onSelect={(currentValue) => {
+                    setSelectedOption &&
+                      setSelectedOption(
+                        currentValue === selectedOption ? "" : currentValue,
+                      );
+                    setSelectedOptions &&
+                      setSelectedOptions(
+                        selectedOptions?.includes(currentValue)
+                          ? selectedOptions.filter(
+                              (item) => item !== currentValue,
+                            )
+                          : [...selectedOptions, currentValue],
+                      );
+                    !setSelectedOptions && setShowOptions(false);
+                  }}
+                >
+                  <div className="group flex w-full items-center justify-between">
+                    <div className="flex items-center">
+                      <div
+                        className={cn(
+                          "relative mr-2 h-4 w-4",
+                          selectedOption === option.id ||
+                            selectedOptions?.includes(option.id)
+                            ? "opacity-100"
+                            : "opacity-0",
+                        )}
+                      >
+                        <div className="absolute opacity-100 transition-all group-hover:opacity-0">
+                          <ForwardedIconComponent
+                            name="Check"
+                            className="mr-2 h-4 w-4 text-primary"
+                            aria-hidden="true"
+                          />
+                        </div>
+                        <div className="absolute opacity-0 transition-all group-hover:opacity-100">
+                          <ForwardedIconComponent
+                            name="X"
+                            className="mr-2 h-4 w-4 text-status-red"
+                            aria-hidden="true"
+                          />
+                        </div>
+                      </div>
+                      <span data-testid={`option-${index}`}>
+                        {option.name}{" "}
+                      </span>
+
+                      {/* Display the name property of the option */}
+                    </div>
+                    {optionButton && optionButton(option)}
+                  </div>
+                </CommandItem>
+              ))}
+              {optionsButton && optionsButton}
+            </CommandGroup>
+          </CommandList>
+        </Command>
+      </PopoverContentInput>
+    </Popover>
+  );
+};
+
+export default CustomInputPopoverObject;
diff --git a/src/frontend/src/components/inputComponent/index.tsx b/src/frontend/src/components/inputComponent/index.tsx
index 8017c5458f5..b5875b3dcd9 100644
--- a/src/frontend/src/components/inputComponent/index.tsx
+++ b/src/frontend/src/components/inputComponent/index.tsx
@@ -2,13 +2,16 @@ import * as Form from "@radix-ui/react-form";
 import { useEffect, useRef, useState } from "react";
 import { InputComponentType } from "../../types/components";
 import { handleKeyDown } from "../../utils/reactflowUtils";
-import { classNames } from "../../utils/utils";
+import { classNames, cn } from "../../utils/utils";
+import ForwardedIconComponent from "../genericIconComponent";
 import { Input } from "../ui/input";
+import CustomInputPopover from "./components/popover";
+import CustomInputPopoverObject from "./components/popoverObject";
 
 export default function InputComponent({
   autoFocus = false,
   onBlur,
-  value,
+  value = "",
   onChange,
   disabled,
   required = false,
@@ -19,24 +22,43 @@ export default function InputComponent({
   className,
   id = "",
   blurOnEnter = false,
+  optionsIcon = "ChevronsUpDown",
+  selectedOption,
+  setSelectedOption,
+  selectedOptions = [],
+  setSelectedOptions,
+  options = [],
+  optionsPlaceholder = "Search options...",
+  optionsButton,
+  optionButton,
+  objectOptions,
+  isObjectOption = false,
+  name,
+  onChangeFolderName,
 }: InputComponentType): JSX.Element {
   const [pwdVisible, setPwdVisible] = useState(false);
   const refInput = useRef<HTMLInputElement>(null);
-  // Clear component state
+  const [showOptions, setShowOptions] = useState<boolean>(false);
+
   useEffect(() => {
-    if (disabled && value !== "") {
-      onChange("");
+    if (disabled && value && onChange && value !== "") {
+      onChange("", true);
     }
   }, [disabled]);
 
+  function onInputLostFocus(event): void {
+    if (onBlur) onBlur(event);
+  }
+
   return (
     <div className="relative w-full">
       {isForm ? (
         <Form.Control asChild>
           <Input
+            name={name}
             id={"form-" + id}
             ref={refInput}
-            onBlur={onBlur}
+            onBlur={onInputLostFocus}
             autoFocus={autoFocus}
             type={password && !pwdVisible ? "password" : "text"}
             value={value}
@@ -44,16 +66,19 @@ export default function InputComponent({
             required={required}
             className={classNames(
               password && !pwdVisible && value !== ""
-                ? " text-clip password "
+                ? "text-clip password"
                 : "",
-              editNode ? " input-edit-node " : "",
+              editNode ? "input-edit-node" : "",
               password && editNode ? "pr-8" : "",
               password && !editNode ? "pr-10" : "",
-              className!
+              className!,
             )}
             placeholder={password && editNode ? "Key" : placeholder}
             onChange={(e) => {
-              onChange(e.target.value);
+              if (onChangeFolderName) {
+                return onChangeFolderName(e);
+              }
+              onChange && onChange(e.target.value);
             }}
             onCopy={(e) => {
               e.preventDefault();
@@ -65,93 +90,154 @@ export default function InputComponent({
           />
         </Form.Control>
       ) : (
-        <Input
-          id={id}
-          ref={refInput}
-          type="text"
-          onBlur={onBlur}
-          value={value}
-          autoFocus={autoFocus}
-          disabled={disabled}
-          required={required}
-          className={classNames(
-            password && !pwdVisible && value !== ""
-              ? " text-clip password "
-              : "",
-            editNode ? " input-edit-node " : "",
-            password && editNode ? "pr-8" : "",
-            password && !editNode ? "pr-10" : "",
-            className!
+        <>
+          {isObjectOption ? (
+            // Content to render when isObjectOption is true
+            <CustomInputPopoverObject
+              refInput={refInput}
+              handleKeyDown={handleKeyDown}
+              optionButton={optionButton}
+              optionsButton={optionsButton}
+              showOptions={showOptions}
+              onChange={onChange}
+              id={`object-${id}`}
+              onInputLostFocus={onInputLostFocus}
+              selectedOption={selectedOption}
+              setSelectedOption={setSelectedOption}
+              selectedOptions={selectedOptions}
+              setSelectedOptions={setSelectedOptions}
+              options={objectOptions}
+              value={value}
+              editNode={editNode}
+              autoFocus={autoFocus}
+              disabled={disabled}
+              setShowOptions={setShowOptions}
+              required={required}
+              placeholder={placeholder}
+              blurOnEnter={blurOnEnter}
+              optionsPlaceholder={optionsPlaceholder}
+              className={className}
+            />
+          ) : (
+            <CustomInputPopover
+              refInput={refInput}
+              handleKeyDown={handleKeyDown}
+              optionButton={optionButton}
+              optionsButton={optionsButton}
+              showOptions={showOptions}
+              onChange={onChange}
+              id={`popover-anchor-${id}`}
+              onInputLostFocus={onInputLostFocus}
+              selectedOption={selectedOption}
+              setSelectedOption={setSelectedOption}
+              selectedOptions={selectedOptions}
+              setSelectedOptions={setSelectedOptions}
+              value={value}
+              autoFocus={autoFocus}
+              disabled={disabled}
+              setShowOptions={setShowOptions}
+              required={required}
+              password={password}
+              pwdVisible={pwdVisible}
+              editNode={editNode}
+              placeholder={placeholder}
+              blurOnEnter={blurOnEnter}
+              options={options}
+              optionsPlaceholder={optionsPlaceholder}
+              className={className}
+            />
           )}
-          placeholder={password && editNode ? "Key" : placeholder}
-          onChange={(e) => {
-            onChange(e.target.value);
-          }}
-          onKeyDown={(e) => {
-            handleKeyDown(e, value, "");
-            if (blurOnEnter && e.key === "Enter") refInput.current?.blur();
-          }}
-        />
+        </>
+      )}
+
+      {(setSelectedOption || setSelectedOptions) && (
+        <span
+          className={cn(
+            password && selectedOption === "" ? "right-8" : "right-0",
+            "absolute inset-y-0 flex items-center pr-2.5",
+          )}
+        >
+          <button
+            onClick={(e) => {
+              setShowOptions(!showOptions);
+              e.preventDefault();
+              e.stopPropagation();
+            }}
+            className={cn(
+              onChange && setSelectedOption && selectedOption !== ""
+                ? "text-medium-indigo"
+                : "text-muted-foreground",
+              "hover:text-accent-foreground",
+            )}
+          >
+            <ForwardedIconComponent
+              name={optionsIcon}
+              className={"h-4 w-4"}
+              aria-hidden="true"
+            />
+          </button>
+        </span>
       )}
-      {password && (
+
+      {password && (!setSelectedOption || selectedOption === "") && (
         <button
           type="button"
           tabIndex={-1}
           className={classNames(
+            "mb-px",
             editNode
               ? "input-component-true-button"
-              : "input-component-false-button"
+              : "input-component-false-button",
           )}
           onClick={(event) => {
             event.preventDefault();
             setPwdVisible(!pwdVisible);
           }}
         >
-          {password &&
-            (pwdVisible ? (
-              <svg
-                xmlns="http://www.w3.org/2000/svg"
-                fill="none"
-                viewBox="0 0 24 24"
-                strokeWidth={1.5}
-                stroke="currentColor"
-                className={classNames(
-                  editNode
-                    ? "input-component-true-svg"
-                    : "input-component-false-svg"
-                )}
-              >
-                <path
-                  strokeLinecap="round"
-                  strokeLinejoin="round"
-                  d="M3.98 8.223A10.477 10.477 0 001.934 12C3.226 16.338 7.244 19.5 12 19.5c.993 0 1.953-.138 2.863-.395M6.228 6.228A10.45 10.45 0 0112 4.5c4.756 0 8.773 3.162 10.065 7.498a10.523 10.523 0 01-4.293 5.774M6.228 6.228L3 3m3.228 3.228l3.65 3.65m7.894 7.894L21 21m-3.228-3.228l-3.65-3.65m0 0a3 3 0 10-4.243-4.243m4.242 4.242L9.88 9.88"
-                />
-              </svg>
-            ) : (
-              <svg
-                xmlns="http://www.w3.org/2000/svg"
-                fill="none"
-                viewBox="0 0 24 24"
-                strokeWidth={1.5}
-                stroke="currentColor"
-                className={classNames(
-                  editNode
-                    ? "input-component-true-svg"
-                    : "input-component-false-svg"
-                )}
-              >
-                <path
-                  strokeLinecap="round"
-                  strokeLinejoin="round"
-                  d="M2.036 12.322a1.012 1.012 0 010-.639C3.423 7.51 7.36 4.5 12 4.5c4.638 0 8.573 3.007 9.963 7.178.07.207.07.431 0 .639C20.577 16.49 16.64 19.5 12 19.5c-4.638 0-8.573-3.007-9.963-7.178z"
-                />
-                <path
-                  strokeLinecap="round"
-                  strokeLinejoin="round"
-                  d="M15 12a3 3 0 11-6 0 3 3 0 016 0z"
-                />
-              </svg>
-            ))}
+          {pwdVisible ? (
+            <svg
+              xmlns="http://www.w3.org/2000/svg"
+              fill="none"
+              viewBox="0 0 24 24"
+              strokeWidth={1.5}
+              stroke="currentColor"
+              className={classNames(
+                editNode
+                  ? "input-component-true-svg"
+                  : "input-component-false-svg",
+              )}
+            >
+              <path
+                strokeLinecap="round"
+                strokeLinejoin="round"
+                d="M3.98 8.223A10.477 10.477 0 001.934 12C3.226 16.338 7.244 19.5 12 19.5c.993 0 1.953-.138 2.863-.395M6.228 6.228A10.45 10.45 0 0112 4.5c4.756 0 8.773 3.162 10.065 7.498a10.523 10.523 0 01-4.293 5.774M6.228 6.228L3 3m3.228 3.228l3.65 3.65m7.894 7.894L21 21m-3.228-3.228l-3.65-3.65m0 0a3 3 0 10-4.243-4.243m4.242 4.242L9.88 9.88"
+              />
+            </svg>
+          ) : (
+            <svg
+              xmlns="http://www.w3.org/2000/svg"
+              fill="none"
+              viewBox="0 0 24 24"
+              strokeWidth={1.5}
+              stroke="currentColor"
+              className={classNames(
+                editNode
+                  ? "input-component-true-svg"
+                  : "input-component-false-svg",
+              )}
+            >
+              <path
+                strokeLinecap="round"
+                strokeLinejoin="round"
+                d="M2.036 12.322a1.012 1.012 0 010-.639C3.423 7.51 7.36 4.5 12 4.5c4.638 0 8.573 3.007 9.963 7.178.07.207.07.431 0 .639C20.577 16.49 16.64 19.5 12 19.5c-4.638 0-8.573-3.007-9.963-7.178z"
+              />
+              <path
+                strokeLinecap="round"
+                strokeLinejoin="round"
+                d="M15 12a3 3 0 11-6 0 3 3 0 016 0z"
+              />
+            </svg>
+          )}
         </button>
       )}
     </div>
diff --git a/src/frontend/src/components/inputFileComponent/index.tsx b/src/frontend/src/components/inputFileComponent/index.tsx
index de63d6d94b1..9710f7f6131 100644
--- a/src/frontend/src/components/inputFileComponent/index.tsx
+++ b/src/frontend/src/components/inputFileComponent/index.tsx
@@ -1,9 +1,14 @@
 import { useEffect, useState } from "react";
+import {
+  CONSOLE_ERROR_MSG,
+  INVALID_FILE_ALERT,
+} from "../../constants/alerts_constants";
 import { uploadFile } from "../../controllers/API";
 import useAlertStore from "../../stores/alertStore";
 import useFlowsManagerStore from "../../stores/flowsManagerStore";
 import { FileComponentType } from "../../types/components";
 import IconComponent from "../genericIconComponent";
+import { Button } from "../ui/button";
 
 export default function InputFileComponent({
   value,
@@ -22,7 +27,7 @@ export default function InputFileComponent({
   useEffect(() => {
     if (disabled && value !== "") {
       setMyValue("");
-      onChange("");
+      onChange("", true);
       onFileChange("");
     }
   }, [disabled, onChange]);
@@ -44,12 +49,12 @@ export default function InputFileComponent({
   const handleButtonClick = (): void => {
     // Create a file input element
     const input = document.createElement("input");
+    document.body.appendChild(input);
     input.type = "file";
     input.accept = fileTypes?.join(",");
     input.style.display = "none"; // Hidden from view
     input.multiple = false; // Allow only one file selection
-
-    input.onchange = (event: Event): void => {
+    const onChangeFile = (event: Event): void => {
       setLoading(true);
 
       // Get the selected file
@@ -61,10 +66,8 @@ export default function InputFileComponent({
         uploadFile(file, currentFlowId)
           .then((res) => res.data)
           .then((data) => {
-            console.log("File uploaded successfully");
             // Get the file name from the response
             const { file_path } = data;
-            console.log("File name:", file_path);
 
             // sets the value that goes to the backend
             onFileChange(file_path);
@@ -75,53 +78,54 @@ export default function InputFileComponent({
             setLoading(false);
           })
           .catch(() => {
-            console.error("Error occurred while uploading file");
+            console.error(CONSOLE_ERROR_MSG);
             setLoading(false);
           });
       } else {
         // Show an error if the file type is not allowed
         setErrorData({
-          title:
-            "Please select a valid file. Only these file types are allowed:",
+          title: INVALID_FILE_ALERT,
           list: fileTypes,
         });
         setLoading(false);
       }
     };
 
+    input.addEventListener("change", onChangeFile);
+
     // Trigger the file selection dialog
     input.click();
   };
 
   return (
     <div className={disabled ? "input-component-div" : "w-full"}>
-      <div className="input-file-component">
+      <div className="input-file-component gap-3">
         <span
           onClick={handleButtonClick}
           className={
             editNode
               ? "input-edit-node input-dialog text-muted-foreground"
               : disabled
-              ? "input-disable input-dialog primary-input"
-              : "input-dialog primary-input text-muted-foreground"
+                ? "input-disable input-dialog primary-input"
+                : "input-dialog primary-input text-muted-foreground"
           }
         >
           {myValue !== "" ? myValue : "No file"}
         </span>
-        <button onClick={handleButtonClick}>
-          {!editNode && !loading && (
+        {!editNode && (
+          <Button
+            unstyled
+            className="inline-flex items-center justify-center"
+            onClick={handleButtonClick}
+            loading={loading}
+            disabled={disabled}
+          >
             <IconComponent
               name="FileSearch2"
-              className={
-                "icons-parameters-comp" +
-                (disabled ? " text-ring " : " hover:text-accent-foreground")
-              }
+              className="icons-parameters-comp shrink-0"
             />
-          )}
-          {!editNode && loading && (
-            <span className="loading loading-spinner loading-sm pointer-events-none h-8 pl-3"></span>
-          )}
-        </button>
+          </Button>
+        )}
       </div>
     </div>
   );
diff --git a/src/frontend/src/components/inputGlobalComponent/index.tsx b/src/frontend/src/components/inputGlobalComponent/index.tsx
new file mode 100644
index 00000000000..4d20e813238
--- /dev/null
+++ b/src/frontend/src/components/inputGlobalComponent/index.tsx
@@ -0,0 +1,149 @@
+import { useEffect } from "react";
+import { deleteGlobalVariable } from "../../controllers/API";
+import DeleteConfirmationModal from "../../modals/deleteConfirmationModal";
+import useAlertStore from "../../stores/alertStore";
+import { useGlobalVariablesStore } from "../../stores/globalVariablesStore/globalVariables";
+import { InputGlobalComponentType } from "../../types/components";
+import { cn } from "../../utils/utils";
+import AddNewVariableButton from "../addNewVariableButtonComponent/addNewVariableButton";
+import ForwardedIconComponent from "../genericIconComponent";
+import InputComponent from "../inputComponent";
+import { CommandItem } from "../ui/command";
+
+export default function InputGlobalComponent({
+  disabled,
+  onChange,
+  setDb,
+  name,
+  data,
+  editNode = false,
+}: InputGlobalComponentType): JSX.Element {
+  const globalVariablesEntries = useGlobalVariablesStore(
+    (state) => state.globalVariablesEntries,
+  );
+
+  const getVariableId = useGlobalVariablesStore((state) => state.getVariableId);
+  const unavaliableFields = useGlobalVariablesStore(
+    (state) => state.unavaliableFields,
+  );
+  const removeGlobalVariable = useGlobalVariablesStore(
+    (state) => state.removeGlobalVariable,
+  );
+  const setErrorData = useAlertStore((state) => state.setErrorData);
+
+  useEffect(() => {
+    if (data)
+      if (
+        ((globalVariablesEntries &&
+          !globalVariablesEntries.includes(data.value)) ||
+          !globalVariablesEntries) &&
+        data.load_from_db
+      ) {
+        setTimeout(() => {
+          onChange("", true);
+          setDb(false);
+        }, 100);
+      }
+  }, [globalVariablesEntries, data]);
+
+  useEffect(() => {
+    if (!data.value && data.display_name) {
+      if (unavaliableFields[data.display_name!] && !disabled) {
+        setTimeout(() => {
+          setDb(true);
+          onChange(unavaliableFields[data.display_name!]);
+        }, 100);
+      }
+    }
+  }, [unavaliableFields]);
+
+  async function handleDelete(key: string) {
+    const id = getVariableId(key);
+    if (id !== undefined) {
+      await deleteGlobalVariable(id)
+        .then(() => {
+          removeGlobalVariable(key);
+          if (data?.value === key && data?.load_from_db) {
+            onChange("");
+            setDb(false);
+          }
+        })
+        .catch(() => {
+          setErrorData({
+            title: "Error deleting variable",
+            list: [cn("ID not found for variable: ", key)],
+          });
+        });
+    } else {
+      setErrorData({
+        title: "Error deleting variable",
+        list: [cn("ID not found for variable: ", key)],
+      });
+    }
+  }
+  return (
+    <InputComponent
+      id={"input-" + name}
+      editNode={editNode}
+      disabled={disabled}
+      password={data.password ?? false}
+      value={data.value ?? ""}
+      options={globalVariablesEntries}
+      optionsPlaceholder={"Global Variables"}
+      optionsIcon="Globe"
+      optionsButton={
+        <AddNewVariableButton>
+          <CommandItem value="doNotFilter-addNewVariable">
+            <ForwardedIconComponent
+              name="Plus"
+              className={cn("mr-2 h-4 w-4 text-primary")}
+              aria-hidden="true"
+            />
+            <span>Add New Variable</span>
+          </CommandItem>
+        </AddNewVariableButton>
+      }
+      optionButton={(option) => (
+        <DeleteConfirmationModal
+          onConfirm={(e) => {
+            e.stopPropagation();
+            e.preventDefault();
+            handleDelete(option);
+          }}
+          description={'variable "' + option + '"'}
+          asChild
+        >
+          <button
+            onClick={(e) => {
+              e.stopPropagation();
+            }}
+            className="pr-1"
+          >
+            <ForwardedIconComponent
+              name="Trash2"
+              className={cn(
+                "h-4 w-4 text-primary opacity-0 hover:text-status-red group-hover:opacity-100",
+              )}
+              aria-hidden="true"
+            />
+          </button>
+        </DeleteConfirmationModal>
+      )}
+      selectedOption={
+        data?.load_from_db &&
+        globalVariablesEntries &&
+        globalVariablesEntries.includes(data?.value ?? "")
+          ? data?.value
+          : ""
+      }
+      setSelectedOption={(value) => {
+        onChange(value);
+        setDb(value !== "" ? true : false);
+      }}
+      onChange={(value, skipSnapshot) => {
+        onChange(value, skipSnapshot);
+        setDb(false);
+      }}
+    />
+  );
+}
diff --git a/src/frontend/src/components/inputListComponent/index.tsx b/src/frontend/src/components/inputListComponent/index.tsx
index b82d37f6332..ff852350d8e 100644
--- a/src/frontend/src/components/inputListComponent/index.tsx
+++ b/src/frontend/src/components/inputListComponent/index.tsx
@@ -2,8 +2,9 @@ import { useEffect } from "react";
 import { InputListComponentType } from "../../types/components";
 
 import _ from "lodash";
-import { classNames } from "../../utils/utils";
+import { classNames, cn } from "../../utils/utils";
 import IconComponent from "../genericIconComponent";
+import { Button } from "../ui/button";
 import { Input } from "../ui/input";
 
 export default function InputListComponent({
@@ -11,6 +12,8 @@ export default function InputListComponent({
   onChange,
   disabled,
   editNode = false,
+  componentName,
+  playgroundDisabled,
 }: InputListComponentType): JSX.Element {
   useEffect(() => {
     if (disabled && value.length > 0 && value[0] !== "") {
@@ -23,20 +26,20 @@ export default function InputListComponent({
     value = [value];
   }
 
-  if (!value.length) value = [""];
+  if (!value?.length) value = [""];
 
   return (
     <div
       className={classNames(
         value.length > 1 && editNode ? "my-1" : "",
-        "flex flex-col gap-3"
+        "flex w-full flex-col gap-3",
       )}
     >
       {value.map((singleValue, idx) => {
         return (
           <div key={idx} className="flex w-full gap-3">
             <Input
-              disabled={disabled}
+              disabled={disabled || playgroundDisabled}
               type="text"
               value={singleValue}
               className={editNode ? "input-edit-node" : ""}
@@ -46,33 +49,57 @@ export default function InputListComponent({
                 newInputList[idx] = event.target.value;
                 onChange(newInputList);
               }}
+              data-testid={
+                `input-list-input${editNode ? "-edit" : ""}_${componentName}-` +
+                idx
+              }
             />
-            {idx === value.length - 1 ? (
-              <button
-                onClick={() => {
+            {idx === 0 ? (
+              <Button
+                unstyled
+                className={cn(
+                  disabled || playgroundDisabled
+                    ? "cursor-not-allowed text-muted-foreground"
+                    : "text-primary hover:text-accent-foreground",
+                )}
+                onClick={(e) => {
                   let newInputList = _.cloneDeep(value);
                   newInputList.push("");
                   onChange(newInputList);
+                  e.preventDefault();
                 }}
+                data-testid={
+                  `input-list-plus-btn${
+                    editNode ? "-edit" : ""
+                  }_${componentName}-` + idx
+                }
+                disabled={disabled || playgroundDisabled}
               >
-                <IconComponent
-                  name="Plus"
-                  className={"h-4 w-4 hover:text-accent-foreground"}
-                />
-              </button>
+                <IconComponent name="Plus" className="h-4 w-4" />
+              </Button>
             ) : (
-              <button
-                onClick={() => {
+              <Button
+                unstyled
+                className={cn(
+                  disabled || playgroundDisabled
+                    ? "cursor-not-allowed text-muted-foreground"
+                    : "text-primary hover:text-accent-foreground",
+                )}
+                data-testid={
+                  `input-list-minus-btn${
+                    editNode ? "-edit" : ""
+                  }_${componentName}-` + idx
+                }
+                onClick={(e) => {
                   let newInputList = _.cloneDeep(value);
                   newInputList.splice(idx, 1);
                   onChange(newInputList);
+                  e.preventDefault();
                 }}
+                disabled={disabled || playgroundDisabled}
               >
-                <IconComponent
-                  name="X"
-                  className="h-4 w-4 hover:text-status-red"
-                />
-              </button>
+                <IconComponent name="X" className="h-4 w-4" />
+              </Button>
             )}
           </div>
         );
diff --git a/src/frontend/src/components/intComponent/index.tsx b/src/frontend/src/components/intComponent/index.tsx
index da4839ae12f..f0d67a4021a 100644
--- a/src/frontend/src/components/intComponent/index.tsx
+++ b/src/frontend/src/components/intComponent/index.tsx
@@ -9,16 +9,17 @@ import { Input } from "../ui/input";
 export default function IntComponent({
   value,
   onChange,
+  rangeSpec,
   disabled,
   editNode = false,
   id = "",
 }: IntComponentType): JSX.Element {
-  const min = 0;
+  const min = -Infinity;
 
   // Clear component state
   useEffect(() => {
     if (disabled && value !== "") {
-      onChange("");
+      onChange("", true);
     }
   }, [disabled, onChange]);
 
@@ -31,8 +32,9 @@ export default function IntComponent({
           handleKeyDown(event, value, "");
         }}
         type="number"
-        step="1"
-        min={0}
+        step={rangeSpec?.step ?? 1}
+        min={rangeSpec?.min ?? min}
+        max={rangeSpec?.max ?? undefined}
         onInput={(event: React.ChangeEvent<HTMLInputElement>) => {
           if (Number(event.target.value) < min) {
             event.target.value = min.toString();
@@ -45,6 +47,7 @@ export default function IntComponent({
         onChange={(event) => {
           onChange(event.target.value);
         }}
+        data-testid={id}
       />
     </div>
   );
diff --git a/src/frontend/src/components/keypairListComponent/index.tsx b/src/frontend/src/components/keypairListComponent/index.tsx
index 0346286433c..89a5252e6d3 100644
--- a/src/frontend/src/components/keypairListComponent/index.tsx
+++ b/src/frontend/src/components/keypairListComponent/index.tsx
@@ -1,7 +1,7 @@
-import { useEffect, useRef } from "react";
+import { useEffect, useRef, useState } from "react";
 import { KeyPairListComponentType } from "../../types/components";
 
-import _ from "lodash";
+import { cloneDeep } from "lodash";
 import { classNames } from "../../utils/utils";
 import IconComponent from "../genericIconComponent";
 import { Input } from "../ui/input";
@@ -12,43 +12,44 @@ export default function KeypairListComponent({
   disabled,
   editNode = false,
   duplicateKey,
+  isList = true,
 }: KeyPairListComponentType): JSX.Element {
   useEffect(() => {
     if (disabled && value.length > 0 && value[0] !== "") {
-      onChange([""]);
+      onChange([{ "": "" }]);
     }
   }, [disabled]);
 
-  const ref = useRef(value.length === 0 ? [{ "": "" }] : value);
-
-  useEffect(() => {
-    if (JSON.stringify(value) !== JSON.stringify(ref.current)) {
-      ref.current = value;
-      onChange(value);
-    }
-  }, [value]);
+  const myValue = Array.isArray(value) ? value : [value];
 
   const handleChangeKey = (event, idx) => {
-    const oldKey = Object.keys(ref.current[idx])[0];
-    const updatedObj = { [event.target.value]: ref.current[idx][oldKey] };
-    ref.current[idx] = updatedObj;
-    onChange(ref.current);
+    const oldKey = Object.keys(myValue[idx])[0];
+    const updatedObj = { [event.target.value]: myValue[idx][oldKey] };
+
+    const newValue = cloneDeep(myValue);
+    newValue[idx] = updatedObj;
+
+    onChange(newValue);
   };
 
-  const handleChangeValue = (newValue, idx) => {
-    const key = Object.keys(ref.current[idx])[0];
-    ref.current[idx][key] = newValue;
-    onChange(ref.current);
+  const handleChangeValue = (event, idx) => {
+    const key = Object.keys(myValue[idx])[0];
+    const updatedObj = { [key]: event.target.value };
+
+    const newValue = cloneDeep(myValue);
+    newValue[idx] = updatedObj;
+
+    onChange(newValue);
   };
 
   return (
     <div
       className={classNames(
-        ref.current?.length > 1 && editNode ? "mx-2 my-1" : "",
-        "flex h-full flex-col gap-3"
+        myValue?.length > 1 && editNode ? "mx-2 my-1" : "",
+        "flex h-full flex-col gap-3",
       )}
     >
-      {ref.current?.map((obj, index) => {
+      {myValue?.map((obj, index) => {
         return Object.keys(obj).map((key, idx) => {
           return (
             <div key={idx} className="flex w-full gap-2">
@@ -61,7 +62,7 @@ export default function KeypairListComponent({
                 value={key.trim()}
                 className={classNames(
                   editNode ? "input-edit-node" : "",
-                  duplicateKey ? "input-invalid" : ""
+                  duplicateKey ? "input-invalid" : "",
                 )}
                 placeholder="Type key..."
                 onChange={(event) => handleChangeKey(event, index)}
@@ -79,18 +80,18 @@ export default function KeypairListComponent({
                     : "keypair" + (index + 100).toString()
                 }
                 type="text"
+                disabled={disabled}
                 value={obj[key]}
                 className={editNode ? "input-edit-node" : ""}
                 placeholder="Type a value..."
-                onChange={(event) =>
-                  handleChangeValue(event.target.value, index)
-                }
+                onChange={(event) => handleChangeValue(event, index)}
               />
 
-              {index === ref.current.length - 1 ? (
+              {isList && index === myValue.length - 1 ? (
                 <button
+                  disabled={disabled}
                   onClick={() => {
-                    let newInputList = _.cloneDeep(ref.current);
+                    let newInputList = cloneDeep(myValue);
                     newInputList.push({ "": "" });
                     onChange(newInputList);
                   }}
@@ -110,10 +111,10 @@ export default function KeypairListComponent({
                     className={"h-4 w-4 hover:text-accent-foreground"}
                   />
                 </button>
-              ) : (
+              ) : isList ? (
                 <button
                   onClick={() => {
-                    let newInputList = _.cloneDeep(ref.current);
+                    let newInputList = cloneDeep(myValue);
                     newInputList.splice(index, 1);
                     onChange(newInputList);
                   }}
@@ -133,6 +134,8 @@ export default function KeypairListComponent({
                     className="h-4 w-4 hover:text-status-red"
                   />
                 </button>
+              ) : (
+                ""
               )}
             </div>
           );
diff --git a/src/frontend/src/components/loadingComponent/index.tsx b/src/frontend/src/components/loadingComponent/index.tsx
index 3ef0f8ef5bc..d7f261f9370 100644
--- a/src/frontend/src/components/loadingComponent/index.tsx
+++ b/src/frontend/src/components/loadingComponent/index.tsx
@@ -7,7 +7,7 @@ export default function LoadingComponent({
     <div role="status" className="flex flex-col items-center justify-center">
       <svg
         aria-hidden="true"
-        className={`w-${remSize} h-${remSize} animate-spin fill-almost-medium-blue  text-muted`}
+        className={`w-${remSize} h-${remSize} animate-spin fill-primary text-muted`}
         viewBox="0 0 100 101"
         fill="none"
         xmlns="http://www.w3.org/2000/svg"
@@ -22,9 +22,7 @@ export default function LoadingComponent({
         />
       </svg>
       <br></br>
-      <span className="animate-pulse text-lg text-almost-medium-blue">
-        Loading...
-      </span>
+      <span className="animate-pulse text-lg text-primary">Loading...</span>
     </div>
   );
 }
diff --git a/src/frontend/src/components/numberReader/index.tsx b/src/frontend/src/components/numberReader/index.tsx
new file mode 100644
index 00000000000..7b27ee2f043
--- /dev/null
+++ b/src/frontend/src/components/numberReader/index.tsx
@@ -0,0 +1,7 @@
+export default function NumberReader({
+  number,
+}: {
+  number: number;
+}): JSX.Element {
+  return <span>{number}</span>;
+}
diff --git a/src/frontend/src/components/objectRender/index.tsx b/src/frontend/src/components/objectRender/index.tsx
new file mode 100644
index 00000000000..36d2c59d4b8
--- /dev/null
+++ b/src/frontend/src/components/objectRender/index.tsx
@@ -0,0 +1,13 @@
+import DictAreaModal from "../../modals/dictAreaModal";
+
+export default function ObjectRender({ object }: { object: any }): JSX.Element {
+  //TODO check object type
+
+  return (
+    <DictAreaModal value={object}>
+      <div className="flex h-full w-full items-center align-middle transition-all">
+        <div className="truncate">{JSON.stringify(object)}</div>
+      </div>
+    </DictAreaModal>
+  );
+}
diff --git a/src/frontend/src/components/paginatorComponent/index.tsx b/src/frontend/src/components/paginatorComponent/index.tsx
new file mode 100644
index 00000000000..894ddaf93cf
--- /dev/null
+++ b/src/frontend/src/components/paginatorComponent/index.tsx
@@ -0,0 +1,123 @@
+import { useEffect, useState } from "react";
+import {
+  Select,
+  SelectContent,
+  SelectItem,
+  SelectTrigger,
+  SelectValue,
+} from "../../components/ui/select";
+import { PaginatorComponentType } from "../../types/components";
+import IconComponent from "../genericIconComponent";
+import { Button } from "../ui/button";
+
+export default function PaginatorComponent({
+  pageSize = 12,
+  pageIndex = 1,
+  rowsCount = [12, 24, 48, 96],
+  totalRowsCount = 0,
+  paginate,
+  storeComponent = false,
+}: PaginatorComponentType) {
+  const [size, setPageSize] = useState(pageSize);
+  const [maxIndex, setMaxPageIndex] = useState(
+    Math.ceil(totalRowsCount / pageSize),
+  );
+
+  useEffect(() => {
+    setMaxPageIndex(Math.ceil(totalRowsCount / size));
+  }, [totalRowsCount]);
+
+  return (
+    <>
+      <div className="flex items-center justify-between px-2">
+        <div className="flex-1 text-sm text-muted-foreground"></div>
+        <div
+          className={
+            storeComponent
+              ? "flex items-center lg:space-x-8"
+              : "flex items-center space-x-6 lg:space-x-8"
+          }
+        >
+          <div className="flex items-center space-x-2">
+            <p className="text-sm font-medium">Rows per page</p>
+            <Select
+              onValueChange={(pageSize: string) => {
+                setPageSize(Number(pageSize));
+                setMaxPageIndex(Math.ceil(totalRowsCount / Number(pageSize)));
+                paginate(Number(pageSize), 1);
+              }}
+              value={pageSize.toString()}
+            >
+              <SelectTrigger className="w-[100px]">
+                <SelectValue placeholder="10" />
+              </SelectTrigger>
+              <SelectContent>
+                {rowsCount.map((item, i) => (
+                  <SelectItem key={i} value={item.toString()}>
+                    {item}
+                  </SelectItem>
+                ))}
+              </SelectContent>
+            </Select>
+          </div>
+          <div className="flex w-[100px] items-center justify-center text-sm font-medium">
+            Page {pageIndex}
+            {!storeComponent && <> of {maxIndex}</>}
+          </div>
+          <div className="flex items-center space-x-2">
+            <Button
+              disabled={pageIndex <= 1}
+              variant="outline"
+              className="hidden h-8 w-8 p-0 lg:flex"
+              onClick={() => {
+                paginate(size, 1);
+              }}
+              size={"icon"}
+            >
+              <span className="sr-only">Go to first page</span>
+              <IconComponent name="ChevronsLeft" className="h-4 w-4" />
+            </Button>
+            <Button
+              disabled={pageIndex <= 1}
+              onClick={() => {
+                if (pageIndex > 0) {
+                  paginate(size, pageIndex - 1);
+                }
+              }}
+              variant="outline"
+              className="h-8 w-8 p-0"
+              size={"icon"}
+            >
+              <span className="sr-only">Go to previous page</span>
+              <IconComponent name="ChevronLeft" className="h-4 w-4" />
+            </Button>
+            <Button
+              disabled={pageIndex === maxIndex}
+              onClick={() => {
+                paginate(size, pageIndex + 1);
+              }}
+              variant="outline"
+              className="h-8 w-8 p-0"
+              size={"icon"}
+            >
+              <span className="sr-only">Go to next page</span>
+              <IconComponent name="ChevronRight" className="h-4 w-4" />
+            </Button>
+            <Button
+              disabled={pageIndex === maxIndex}
+              variant="outline"
+              className="hidden h-8 w-8 p-0 lg:flex"
+              size={"icon"}
+              onClick={() => {
+                paginate(size, maxIndex);
+              }}
+            >
+              <span className="sr-only">Go to last page</span>
+              <IconComponent name="ChevronsRight" className="h-4 w-4" />
+            </Button>
+          </div>
+        </div>
+      </div>
+    </>
+  );
+}
diff --git a/src/frontend/src/components/pdfViewer/Error/index.tsx b/src/frontend/src/components/pdfViewer/Error/index.tsx
new file mode 100644
index 00000000000..c0a62166465
--- /dev/null
+++ b/src/frontend/src/components/pdfViewer/Error/index.tsx
@@ -0,0 +1,19 @@
+import { PDFCheckFlow, PDFLoadErrorTitle } from "../../../constants/constants";
+import IconComponent from "../../genericIconComponent";
+
+export default function Error(): JSX.Element {
+  return (
+    <div className="flex h-full w-full flex-col items-center justify-center bg-muted">
+      <div className="chat-alert-box">
+        <span className="flex gap-2">
+          <IconComponent name="FileX2" />
+          <span className="langflow-chat-span">{PDFLoadErrorTitle}</span>
+        </span>
+        <br />
+        <div className="langflow-chat-desc">
+          <span className="langflow-chat-desc-span">{PDFCheckFlow} </span>
+        </div>
+      </div>
+    </div>
+  );
+}
diff --git a/src/frontend/src/components/pdfViewer/index.tsx b/src/frontend/src/components/pdfViewer/index.tsx
new file mode 100644
index 00000000000..997c5b8be41
--- /dev/null
+++ b/src/frontend/src/components/pdfViewer/index.tsx
@@ -0,0 +1,155 @@
+import { useEffect, useRef, useState } from "react";
+import { Document, Page, pdfjs } from "react-pdf";
+import "react-pdf/dist/esm/Page/AnnotationLayer.css";
+import "react-pdf/dist/esm/Page/TextLayer.css";
+import IconComponent from "../genericIconComponent";
+import Loading from "../ui/loading";
+import Error from "./Error";
+import NoDataPdf from "./noData";
+
+pdfjs.GlobalWorkerOptions.workerSrc = `//unpkg.com/pdfjs-dist@${pdfjs.version}/build/pdf.worker.min.js`;
+
+export default function PdfViewer({ pdf }: { pdf: string }): JSX.Element {
+  const [numPages, setNumPages] = useState(-1);
+  const [pageNumber, setPageNumber] = useState(1);
+  const [scale, setScale] = useState(1);
+  const [width, setWidth] = useState<number | undefined>(undefined);
+  const [showControl, setShowControl] = useState(false);
+  const container = useRef<null | HTMLDivElement>(null);
+
+  //shortcuts to change page
+  useEffect(() => {
+    function handleKeyDown(event: KeyboardEvent) {
+      if (event.key === "ArrowLeft") {
+        if (pageNumber > 1) previousPage();
+      } else if (event.key === "ArrowRight") {
+        if (pageNumber < numPages) nextPage();
+      }
+    }
+    document.addEventListener("keydown", handleKeyDown);
+    return () => {
+      document.removeEventListener("keydown", handleKeyDown);
+    };
+  }, [pageNumber]);
+
+  function onDocumentLoadSuccess({ numPages }) {
+    setNumPages(numPages);
+    setPageNumber(1);
+  }
+
+  function changePage(offset) {
+    setPageNumber((prevPageNumber) => prevPageNumber + offset);
+  }
+
+  function previousPage() {
+    changePage(-1);
+  }
+
+  function nextPage() {
+    changePage(1);
+  }
+
+  //set handle scale in % to real number
+  function handleScaleChange(e) {
+    //check if e is a number
+    if (isNaN(e) || e < 0.1) return;
+    // round to 2 decimal places
+    e = Math.round(e * 10) / 10;
+
+    setScale(e);
+  }
+
+  function zoomIn() {
+    handleScaleChange(scale + 0.1);
+  }
+  function zoomOut() {
+    if (scale > 0.1) handleScaleChange(scale - 0.1);
+  }
+
+  function handlePageLoad(page) {
+    if (!container.current) return;
+    const containerWidth = container.current.clientWidth;
+    const pageWidth = page.width;
+    if (containerWidth > pageWidth) {
+      setWidth(containerWidth - 10);
+    }
+  }
+
+  return (
+    <div
+      ref={container}
+      onMouseEnter={(_) => setShowControl(true)}
+      onMouseLeave={(_) => setShowControl(false)}
+      className="flex h-full w-full flex-col items-center justify-end overflow-clip rounded-lg border border-border"
+    >
+      <div className={"h-full min-h-0 w-full overflow-auto custom-scroll"}>
+        <Document
+          loading={
+            <div className="flex h-full w-full items-center justify-center align-middle">
+              <Loading />
+            </div>
+          }
+          onLoadSuccess={onDocumentLoadSuccess}
+          file={pdf}
+          noData={<NoDataPdf />}
+          error={<Error />}
+          className="h-full w-full"
+        >
+          <Page
+            width={width}
+            onLoadSuccess={handlePageLoad}
+            scale={scale}
+            renderTextLayer
+            pageNumber={pageNumber}
+            className={"h-full max-h-0 w-full"}
+          />
+        </Document>
+      </div>
+      <div
+        className={
+          "absolute z-50 pb-5 " + (showControl && numPages > 0 ? "" : " hidden")
+        }
+      >
+        <div className="flex w-min items-center justify-center gap-0.5 rounded-xl bg-secondary px-2 align-middle">
+          <button
+            type="button"
+            disabled={pageNumber <= 1}
+            onClick={previousPage}
+          >
+            <IconComponent
+              name={"ChevronLeft"}
+              className="h-6 w-6"
+            ></IconComponent>
+          </button>
+          <p>
+            {pageNumber || (numPages ? 1 : "--")}/{numPages || "--"}
+          </p>
+          <button
+            type="button"
+            disabled={pageNumber >= numPages}
+            onClick={nextPage}
+          >
+            <IconComponent
+              name={"ChevronRight"}
+              className="h-6 w-6"
+            ></IconComponent>
+          </button>
+          <p className="px-2">|</p>
+          <button type="button" onClick={zoomOut}>
+            <IconComponent name={"ZoomOut"} className="h-6 w-6"></IconComponent>
+          </button>
+          <input
+            type="number"
+            step={0.1}
+            className="w-6 border-b bg-transparent text-center arrow-hide"
+            onChange={(e) => handleScaleChange(e.target.value)}
+            value={scale}
+          />
+          <button type="button" onClick={zoomIn}>
+            <IconComponent name={"ZoomIn"} className="h-6 w-6"></IconComponent>
+          </button>
+        </div>
+      </div>
+    </div>
+  );
+}
diff --git a/src/frontend/src/components/pdfViewer/noData/index.tsx b/src/frontend/src/components/pdfViewer/noData/index.tsx
new file mode 100644
index 00000000000..b5edee0bbfb
--- /dev/null
+++ b/src/frontend/src/components/pdfViewer/noData/index.tsx
@@ -0,0 +1,17 @@
+import { PDFErrorTitle, PDFLoadError } from "../../../constants/constants";
+
+export default function NoDataPdf(): JSX.Element {
+  return (
+    <div className="flex h-full w-full flex-col items-center justify-center bg-muted">
+      <div className="chat-alert-box">
+        <span>
+          📄 <span className="langflow-chat-span">{PDFErrorTitle}</span>
+        </span>
+        <br />
+        <div className="langflow-chat-desc">
+          <span className="langflow-chat-desc-span">{PDFLoadError} </span>
+        </div>
+      </div>
+    </div>
+  );
+}
diff --git a/src/frontend/src/components/promptComponent/index.tsx b/src/frontend/src/components/promptComponent/index.tsx
index 784e84fdb17..0dcec3dbf7f 100644
--- a/src/frontend/src/components/promptComponent/index.tsx
+++ b/src/frontend/src/components/promptComponent/index.tsx
@@ -4,6 +4,7 @@ import { TypeModal } from "../../constants/enums";
 import GenericModal from "../../modals/genericModal";
 import { PromptAreaComponentType } from "../../types/components";
 import IconComponent from "../genericIconComponent";
+import { Button } from "../ui/button";
 
 export default function PromptAreaComponent({
   field_name,
@@ -18,14 +19,15 @@ export default function PromptAreaComponent({
 }: PromptAreaComponentType): JSX.Element {
   useEffect(() => {
     if (disabled && value !== "") {
-      onChange("");
+      onChange("", true);
     }
   }, [disabled]);
 
   return (
-    <div className={disabled ? "pointer-events-none w-full " : " w-full"}>
+    <div className={disabled ? "pointer-events-none w-full" : "w-full"}>
       <GenericModal
         id={id}
+        field_name={field_name}
         readonly={readonly}
         type={TypeModal.PROMPT}
         value={value}
@@ -35,30 +37,32 @@ export default function PromptAreaComponent({
         nodeClass={nodeClass}
         setNodeClass={setNodeClass}
       >
-        <div className="flex w-full items-center">
-          <span
-            id={id}
-            data-testid={id}
-            className={
-              editNode
-                ? "input-edit-node input-dialog"
-                : (disabled ? " input-disable text-ring " : "") +
-                  " primary-input text-muted-foreground "
-            }
-          >
-            {value !== "" ? value : "Type your prompt here..."}
-          </span>
-          {!editNode && (
-            <IconComponent
+        <Button unstyled className="w-full">
+          <div className="flex w-full items-center gap-3">
+            <span
               id={id}
-              name="ExternalLink"
+              data-testid={id}
               className={
-                "icons-parameters-comp" +
-                (disabled ? " text-ring" : " hover:text-accent-foreground")
+                editNode
+                  ? "input-edit-node input-dialog"
+                  : (disabled ? "input-disable text-ring " : "") +
+                    " primary-input text-muted-foreground"
               }
-            />
-          )}
-        </div>
+            >
+              {value !== "" ? value : "Type your prompt here..."}
+            </span>
+            {!editNode && (
+              <IconComponent
+                id={id}
+                name="ExternalLink"
+                className={
+                  "icons-parameters-comp shrink-0" +
+                  (disabled ? " text-ring" : " hover:text-accent-foreground")
+                }
+              />
+            )}
+          </div>
+        </Button>
       </GenericModal>
     </div>
   );
diff --git a/src/frontend/src/components/renderIconComponent/index.tsx b/src/frontend/src/components/renderIconComponent/index.tsx
new file mode 100644
index 00000000000..b75d948a065
--- /dev/null
+++ b/src/frontend/src/components/renderIconComponent/index.tsx
@@ -0,0 +1,52 @@
+import ForwardedIconComponent from "../genericIconComponent";
+
+export default function RenderIcons({
+  isMac,
+  hasShift,
+  filteredShortcut,
+  shortcutWPlus,
+}: {
+  isMac: boolean;
+  hasShift: boolean;
+  filteredShortcut: string[];
+  shortcutWPlus: string[];
+}): JSX.Element {
+  return hasShift ? (
+    <span className="flex items-center justify-center gap-0.5 text-xs">
+      {isMac ? (
+        <ForwardedIconComponent name="Command" className="h-3 w-3" />
+      ) : (
+        filteredShortcut[0]
+      )}
+      <ForwardedIconComponent name="ArrowBigUp" className="h-4 w-4" />
+      {filteredShortcut.map((key, idx) => {
+        if (idx > 0) {
+          return key.toUpperCase();
+        }
+        return null;
+      })}
+    </span>
+  ) : (
+    <span className="flex items-center justify-center gap-0.5 text-xs">
+      {shortcutWPlus[0].toLowerCase() === "space" ? (
+        "Space"
+      ) : shortcutWPlus[0].length <= 1 ? (
+        shortcutWPlus[0]
+      ) : isMac ? (
+        <ForwardedIconComponent name="Command" className="h-3 w-3" />
+      ) : (
+        <span className="flex items-center">{shortcutWPlus[0]}</span>
+      )}
+      {shortcutWPlus.map((key, idx) => {
+        if (idx > 0) {
+          return (
+            <span key={idx} className="flex items-center">
+              {key.toUpperCase()}
+            </span>
+          );
+        }
+        return null;
+      })}
+    </span>
+  );
+}
diff --git a/src/frontend/src/components/SanitizedHTMLWrapper/index.tsx b/src/frontend/src/components/sanitizedHTMLWrapper/index.tsx
similarity index 100%
rename from src/frontend/src/components/SanitizedHTMLWrapper/index.tsx
rename to src/frontend/src/components/sanitizedHTMLWrapper/index.tsx
diff --git a/src/frontend/src/components/shadTooltipComponent/index.tsx b/src/frontend/src/components/shadTooltipComponent/index.tsx
new file mode 100644
index 00000000000..1b76ab325d7
--- /dev/null
+++ b/src/frontend/src/components/shadTooltipComponent/index.tsx
@@ -0,0 +1,28 @@
+import { ShadToolTipType } from "../../types/components";
+import { cn } from "../../utils/utils";
+import { Tooltip, TooltipContent, TooltipTrigger } from "../ui/tooltip";
+
+export default function ShadTooltip({
+  content,
+  side,
+  asChild = true,
+  children,
+  styleClasses,
+  delayDuration = 500,
+}: ShadToolTipType): JSX.Element {
+  return content ? (
+    <Tooltip defaultOpen={!children} delayDuration={delayDuration}>
+      <TooltipTrigger asChild={asChild}>{children}</TooltipTrigger>
+      <TooltipContent
+        className={cn(styleClasses, "max-w-96")}
+        side={side}
+        avoidCollisions={false}
+        sticky="always"
+      >
+        {content}
+      </TooltipContent>
+    </Tooltip>
+  ) : (
+    <>{children}</>
+  );
+}
diff --git a/src/frontend/src/components/sidebarComponent/components/sideBarButtons/index.tsx b/src/frontend/src/components/sidebarComponent/components/sideBarButtons/index.tsx
new file mode 100644
index 00000000000..5b382bd15e8
--- /dev/null
+++ b/src/frontend/src/components/sidebarComponent/components/sideBarButtons/index.tsx
@@ -0,0 +1,43 @@
+import { Link } from "react-router-dom";
+import { cn } from "../../../../utils/utils";
+import { buttonVariants } from "../../../ui/button";
+
+type SideBarButtonsComponentProps = {
+  items: {
+    href?: string;
+    title: string;
+    icon: React.ReactNode;
+  }[];
+  pathname: string;
+  handleOpenNewFolderModal?: () => void;
+};
+const SideBarButtonsComponent = ({
+  items,
+  pathname,
+}: SideBarButtonsComponentProps) => {
+  return (
+    <div className="flex gap-2 overflow-auto lg:h-[70vh] lg:flex-col">
+      {items.map((item) => (
+        <Link to={item.href!}>
+          <div
+            key={item.title}
+            data-testid={`sidebar-nav-${item.title}`}
+            className={cn(
+              buttonVariants({ variant: "ghost" }),
+              pathname === item.href
+                ? "border border-border bg-muted hover:bg-muted"
+                : "border border-transparent hover:border-border hover:bg-transparent",
+              "flex w-full shrink-0 justify-start gap-4",
+            )}
+          >
+            {item.icon}
+            <span className="block max-w-full truncate opacity-100">
+              {item.title}
+            </span>
+          </div>
+        </Link>
+      ))}
+    </div>
+  );
+};
+export default SideBarButtonsComponent;
diff --git a/src/frontend/src/components/sidebarComponent/components/sideBarFolderButtons/index.tsx b/src/frontend/src/components/sidebarComponent/components/sideBarFolderButtons/index.tsx
new file mode 100644
index 00000000000..299ca236abe
--- /dev/null
+++ b/src/frontend/src/components/sidebarComponent/components/sideBarFolderButtons/index.tsx
@@ -0,0 +1,331 @@
+import { useEffect, useRef, useState } from "react";
+import { useLocation } from "react-router-dom";
+import { FolderType } from "../../../../pages/MainPage/entities";
+import { addFolder, updateFolder } from "../../../../pages/MainPage/services";
+import { handleDownloadFolderFn } from "../../../../pages/MainPage/utils/handle-download-folder";
+import useAlertStore from "../../../../stores/alertStore";
+import useFlowsManagerStore from "../../../../stores/flowsManagerStore";
+import { useFolderStore } from "../../../../stores/foldersStore";
+import { handleKeyDown } from "../../../../utils/reactflowUtils";
+import { cn } from "../../../../utils/utils";
+import IconComponent, {
+  ForwardedIconComponent,
+} from "../../../genericIconComponent";
+import { Button, buttonVariants } from "../../../ui/button";
+import { Input } from "../../../ui/input";
+import useFileDrop from "../../hooks/use-on-file-drop";
+
+type SideBarFoldersButtonsComponentProps = {
+  pathname: string;
+  handleChangeFolder?: (id: string) => void;
+  handleDeleteFolder?: (item: FolderType) => void;
+};
+const SideBarFoldersButtonsComponent = ({
+  pathname,
+  handleChangeFolder,
+  handleDeleteFolder,
+}: SideBarFoldersButtonsComponentProps) => {
+  const refInput = useRef<HTMLInputElement>(null);
+  const setFolders = useFolderStore((state) => state.setFolders);
+  const folders = useFolderStore((state) => state.folders);
+  const [foldersNames, setFoldersNames] = useState({});
+  const takeSnapshot = useFlowsManagerStore((state) => state.takeSnapshot);
+  const [editFolders, setEditFolderName] = useState(
+    folders.map((obj) => ({ name: obj.name, edit: false })),
+  );
+  const uploadFolder = useFolderStore((state) => state.uploadFolder);
+  const currentFolder = pathname.split("/");
+  const urlWithoutPath = pathname.split("/").length < 4;
+  const myCollectionId = useFolderStore((state) => state.myCollectionId);
+  const folderIdDragging = useFolderStore((state) => state.folderIdDragging);
+  const refreshFolders = useFolderStore((state) => state.refreshFolders);
+
+  const checkPathName = (itemId: string) => {
+    if (urlWithoutPath && itemId === myCollectionId) {
+      return true;
+    }
+    return currentFolder.includes(itemId);
+  };
+  const location = useLocation();
+  const folderId = location?.state?.folderId ?? myCollectionId;
+  const getFolderById = useFolderStore((state) => state.getFolderById);
+  const setErrorData = useAlertStore((state) => state.setErrorData);
+  const setSuccessData = useAlertStore((state) => state.setSuccessData);
+
+  const handleFolderChange = () => {
+    getFolderById(folderId);
+  };
+
+  const { dragOver, dragEnter, dragLeave, onDrop } = useFileDrop(
+    folderId,
+    handleFolderChange,
+  );
+
+  const handleUploadFlowsToFolder = () => {
+    uploadFolder(folderId)
+      .then(() => {
+        getFolderById(folderId);
+        setSuccessData({
+          title: "Uploaded successfully",
+        });
+      })
+      .catch((err) => {
+        console.log(err);
+        setErrorData({
+          title: `Error on upload`,
+          list: [err["response"]["data"]],
+        });
+      });
+  };
+
+  const handleDownloadFolder = (id: string) => {
+    handleDownloadFolderFn(id);
+  };
+
+  function addNewFolder() {
+    addFolder({ name: "New Folder", parent_id: null, description: "" }).then(
+      (res) => {
+        refreshFolders();
+      },
+    );
+  }
+
+  function handleEditFolderName(e, name): void {
+    const {
+      target: { value },
+    } = e;
+    setFoldersNames((old) => ({
+      ...old,
+      [name]: value,
+    }));
+  }
+
+  useEffect(() => {
+    folders.map((obj) => ({ name: obj.name, edit: false }));
+  }, [folders]);
+
+  const handleEditNameFolder = async (item) => {
+    const newEditFolders = editFolders.map((obj) => {
+      if (obj.name === item.name) {
+        return { name: item.name, edit: false };
+      }
+      return { name: obj.name, edit: false };
+    });
+    setEditFolderName(newEditFolders);
+    if (foldersNames[item.name].trim() !== "") {
+      setFoldersNames((old) => ({
+        ...old,
+        [item.name]: foldersNames[item.name],
+      }));
+      const body = {
+        ...item,
+        name: foldersNames[item.name],
+        flows: item.flows?.length > 0 ? item.flows : [],
+        components: item.components?.length > 0 ? item.components : [],
+      };
+      const updatedFolder = await updateFolder(body, item.id!);
+
+      const updatedFolderIndex = folders.findIndex(
+        (f) => f.id === updatedFolder.id,
+      );
+
+      const updateFolders = [...folders];
+      updateFolders[updatedFolderIndex] = updatedFolder;
+
+      setFolders(updateFolders);
+      setFoldersNames({});
+      setEditFolderName(
+        folders.map((obj) => ({
+          name: obj.name,
+          edit: false,
+        })),
+      );
+    } else {
+      setFoldersNames((old) => ({
+        ...old,
+        [item.name]: item.name,
+      }));
+    }
+  };
+
+  return (
+    <>
+      <div className="flex shrink-0 items-center justify-between gap-2">
+        <div className="flex-1 self-start text-lg font-semibold">Folders</div>
+        <Button
+          variant="primary"
+          size="icon"
+          className="px-2"
+          onClick={addNewFolder}
+          data-testid="add-folder-button"
+        >
+          <ForwardedIconComponent name="FolderPlus" className="w-4" />
+        </Button>
+        <Button
+          variant="primary"
+          size="icon"
+          className="px-2"
+          onClick={handleUploadFlowsToFolder}
+          data-testid="upload-folder-button"
+        >
+          <ForwardedIconComponent name="Upload" className="w-4" />
+        </Button>
+      </div>
+
+      <div className="flex gap-2 overflow-auto lg:h-[70vh] lg:flex-col">
+        <>
+          {folders.map((item, index) => {
+            const editFolderName = editFolders?.filter(
+              (folder) => folder.name === item.name,
+            )[0];
+            return (
+              <div
+                onDragOver={(e) => dragOver(e, item.id!)}
+                onDragEnter={(e) => dragEnter(e, item.id!)}
+                onDragLeave={dragLeave}
+                onDrop={(e) => onDrop(e, item.id!)}
+                key={item.id}
+                data-testid={`sidebar-nav-${item.name}`}
+                className={cn(
+                  buttonVariants({ variant: "ghost" }),
+                  checkPathName(item.id!)
+                    ? "border border-border bg-muted hover:bg-muted"
+                    : "border hover:bg-transparent lg:border-transparent lg:hover:border-border",
+                  "group flex w-full shrink-0 cursor-pointer gap-2 opacity-100 lg:min-w-full",
+                  folderIdDragging === item.id! ? "bg-border" : "",
+                )}
+                onClick={() => handleChangeFolder!(item.id!)}
+              >
+                <div
+                  onDoubleClick={(event) => {
+                    if (item.name === "My Projects") {
+                      return;
+                    }
+
+                    if (!foldersNames[item.name]) {
+                      setFoldersNames({ [item.name]: item.name });
+                    }
+
+                    if (
+                      editFolders.find((obj) => obj.name === item.name)?.name
+                    ) {
+                      const newEditFolders = editFolders.map((obj) => {
+                        if (obj.name === item.name) {
+                          return { name: item.name, edit: true };
+                        }
+                        return { name: obj.name, edit: false };
+                      });
+                      setEditFolderName(newEditFolders);
+                      takeSnapshot();
+                      event.stopPropagation();
+                      event.preventDefault();
+                      return;
+                    }
+
+                    setEditFolderName((old) => [
+                      ...old,
+                      { name: item.name, edit: true },
+                    ]);
+                    setFoldersNames((oldFolder) => ({
+                      ...oldFolder,
+                      [item.name]: item.name,
+                    }));
+                    takeSnapshot();
+                    event.stopPropagation();
+                    event.preventDefault();
+                  }}
+                  className="flex w-full items-center gap-2"
+                >
+                  <IconComponent
+                    name={"folder"}
+                    className="mr-2 w-4 flex-shrink-0 justify-start stroke-[1.5] opacity-100"
+                  />
+                  {editFolderName?.edit ? (
+                    <div>
+                      <Input
+                        className="w-36"
+                        onChange={(e) => {
+                          handleEditFolderName(e, item.name);
+                        }}
+                        ref={refInput}
+                        onKeyDown={(e) => {
+                          if (e.key === "Escape") {
+                            const newEditFolders = editFolders.map((obj) => {
+                              if (obj.name === item.name) {
+                                return { name: item.name, edit: false };
+                              }
+                              return { name: obj.name, edit: false };
+                            });
+                            setEditFolderName(newEditFolders);
+                            setFoldersNames({});
+                            setEditFolderName(
+                              folders.map((obj) => ({
+                                name: obj.name,
+                                edit: false,
+                              })),
+                            );
+                          }
+                          if (e.key === "Enter") {
+                            refInput.current?.blur();
+                          }
+                          handleKeyDown(e, e.key, "");
+                        }}
+                        autoFocus={true}
+                        onBlur={async () => {
+                          if (refInput.current?.value !== item.name) {
+                            handleEditNameFolder(item);
+                          } else {
+                            editFolderName.edit = false;
+                          }
+                        }}
+                        value={foldersNames[item.name]}
+                        id={`input-folder-${item.name}`}
+                        data-testid={`input-folder`}
+                      />
+                    </div>
+                  ) : (
+                    <span className="block w-full truncate opacity-100">
+                      {item.name}
+                    </span>
+                  )}
+                  {index > 0 && (
+                    <Button
+                      className="hidden p-0 hover:bg-white group-hover:block hover:dark:bg-[#0c101a00]"
+                      onClick={(e) => {
+                        handleDeleteFolder!(item);
+                        e.stopPropagation();
+                        e.preventDefault();
+                      }}
+                      variant={"ghost"}
+                      size={"icon"}
+                    >
+                      <IconComponent
+                        name={"trash"}
+                        className="w-4 stroke-[1.5] p-0"
+                      />
+                    </Button>
+                  )}
+                  <Button
+                    className="hidden p-0 hover:bg-white group-hover:block hover:dark:bg-[#0c101a00]"
+                    onClick={(e) => {
+                      handleDownloadFolder(item.id!);
+                      e.stopPropagation();
+                      e.preventDefault();
+                    }}
+                    unstyled
+                  >
+                    <IconComponent
+                      name={"Download"}
+                      className="w-4 stroke-[1.5] text-white"
+                    />
+                  </Button>
+                </div>
+              </div>
+            );
+          })}
+        </>
+      </div>
+    </>
+  );
+};
+export default SideBarFoldersButtonsComponent;
diff --git a/src/frontend/src/components/sidebarComponent/hooks/use-on-file-drop.tsx b/src/frontend/src/components/sidebarComponent/hooks/use-on-file-drop.tsx
new file mode 100644
index 00000000000..c75bf4bec0f
--- /dev/null
+++ b/src/frontend/src/components/sidebarComponent/hooks/use-on-file-drop.tsx
@@ -0,0 +1,145 @@
+import {
+  UPLOAD_ALERT_LIST,
+  WRONG_FILE_ERROR_ALERT,
+} from "../../../constants/alerts_constants";
+import { updateFlowInDatabase } from "../../../controllers/API";
+import { uploadFlowsFromFolders } from "../../../pages/MainPage/services";
+import useAlertStore from "../../../stores/alertStore";
+import useFlowsManagerStore from "../../../stores/flowsManagerStore";
+import { useFolderStore } from "../../../stores/foldersStore";
+import { addVersionToDuplicates } from "../../../utils/reactflowUtils";
+
+const useFileDrop = (folderId, folderChangeCallback) => {
+  const setFolderDragging = useFolderStore((state) => state.setFolderDragging);
+  const setFolderIdDragging = useFolderStore(
+    (state) => state.setFolderIdDragging,
+  );
+
+  const setErrorData = useAlertStore((state) => state.setErrorData);
+  const refreshFolders = useFolderStore((state) => state.refreshFolders);
+  const flows = useFlowsManagerStore((state) => state.flows);
+
+  const triggerFolderChange = (folderId) => {
+    if (folderChangeCallback) {
+      folderChangeCallback(folderId);
+    }
+  };
+  const handleFileDrop = async (e) => {
+    if (e.dataTransfer.types.some((type) => type === "Files")) {
+      if (e.dataTransfer.files && e.dataTransfer.files.length > 0) {
+        const firstFile = e.dataTransfer.files[0];
+        if (firstFile.type === "application/json") {
+          uploadFormData(firstFile);
+        } else {
+          setErrorData({
+            title: WRONG_FILE_ERROR_ALERT,
+            list: [UPLOAD_ALERT_LIST],
+          });
+        }
+      }
+    }
+  };
+
+  const dragOver = (
+    e:
+      | React.DragEvent<HTMLDivElement>
+      | React.DragEvent<HTMLButtonElement>
+      | React.DragEvent<HTMLAnchorElement>,
+    folderId: string,
+  ) => {
+    e.preventDefault();
+
+    if (e.dataTransfer.types.some((types) => types === "Files")) {
+      setFolderDragging(true);
+    }
+    setFolderIdDragging(folderId);
+  };
+
+  const dragEnter = (
+    e:
+      | React.DragEvent<HTMLDivElement>
+      | React.DragEvent<HTMLButtonElement>
+      | React.DragEvent<HTMLAnchorElement>,
+    folderId: string,
+  ) => {
+    if (e.dataTransfer.types.some((types) => types === "Files")) {
+      setFolderDragging(true);
+    }
+    setFolderIdDragging(folderId);
+    e.preventDefault();
+  };
+
+  const dragLeave = (
+    e:
+      | React.DragEvent<HTMLDivElement>
+      | React.DragEvent<HTMLButtonElement>
+      | React.DragEvent<HTMLAnchorElement>,
+  ) => {
+    e.preventDefault();
+    if (e.target === e.currentTarget) {
+      setFolderDragging(false);
+      setFolderIdDragging("");
+    }
+  };
+
+  const onDrop = (
+    e:
+      | React.DragEvent<HTMLDivElement>
+      | React.DragEvent<HTMLButtonElement>
+      | React.DragEvent<HTMLAnchorElement>,
+    folderId: string,
+  ) => {
+    if (e?.dataTransfer?.getData("flow")) {
+      const data = JSON.parse(e?.dataTransfer?.getData("flow"));
+
+      if (data) {
+        uploadFromDragCard(data.id, folderId);
+        return;
+      }
+    }
+
+    e.preventDefault();
+    handleFileDrop(e);
+  };
+
+  const uploadFromDragCard = (flowId, folderId) => {
+    const selectedFlow = flows.find((flow) => flow.id === flowId);
+
+    if (!selectedFlow) {
+      throw new Error("Flow not found");
+    }
+    const updatedFlow = { ...selectedFlow, folder_id: folderId };
+
+    const newName = addVersionToDuplicates(updatedFlow, flows);
+
+    updatedFlow.name = newName;
+
+    setFolderDragging(false);
+    setFolderIdDragging("");
+
+    updateFlowInDatabase(updatedFlow).then(() => {
+      refreshFolders();
+      triggerFolderChange(folderId);
+    });
+  };
+
+  const uploadFormData = (data) => {
+    const formData = new FormData();
+    formData.append("file", data);
+    setFolderDragging(false);
+    setFolderIdDragging("");
+    uploadFlowsFromFolders(formData).then(() => {
+      refreshFolders();
+      triggerFolderChange(folderId);
+    });
+  };
+
+  return {
+    dragOver,
+    dragEnter,
+    dragLeave,
+    onDrop,
+  };
+};
+
+export default useFileDrop;
diff --git a/src/frontend/src/components/sidebarComponent/index.tsx b/src/frontend/src/components/sidebarComponent/index.tsx
index aae4fa6cd1e..8cdbe5907d8 100644
--- a/src/frontend/src/components/sidebarComponent/index.tsx
+++ b/src/frontend/src/components/sidebarComponent/index.tsx
@@ -1,47 +1,56 @@
-import { Link, useLocation } from "react-router-dom";
+import { useLocation } from "react-router-dom";
+import { FolderType } from "../../pages/MainPage/entities";
+import { useFolderStore } from "../../stores/foldersStore";
 import { cn } from "../../utils/utils";
-import { buttonVariants } from "../ui/button";
+import HorizontalScrollFadeComponent from "../horizontalScrollFadeComponent";
+import SideBarButtonsComponent from "./components/sideBarButtons";
+import SideBarFoldersButtonsComponent from "./components/sideBarFolderButtons";
 
-interface SidebarNavProps extends React.HTMLAttributes<HTMLElement> {
+type SidebarNavProps = {
   items: {
-    href: string;
+    href?: string;
     title: string;
     icon: React.ReactNode;
   }[];
-}
+  handleChangeFolder?: (id: string) => void;
+  handleEditFolder?: (item: FolderType) => void;
+  handleDeleteFolder?: (item: FolderType) => void;
+  className?: string;
+};
 
 export default function SidebarNav({
   className,
   items,
+  handleChangeFolder,
+  handleEditFolder,
+  handleDeleteFolder,
   ...props
 }: SidebarNavProps) {
   const location = useLocation();
   const pathname = location.pathname;
+  const loadingFolders = useFolderStore((state) => state.isLoadingFolders);
+  const folders = useFolderStore((state) => state.folders);
+
+  const pathValues = ["folder", "components", "flows", "all"];
+  const isFolderPath = pathValues.some((value) => pathname.includes(value));
 
   return (
-    <nav
-      className={cn(
-        "flex space-x-2 lg:flex-col lg:space-x-0 lg:space-y-1",
-        className
-      )}
-      {...props}
-    >
-      {items.map((item) => (
-        <Link
-          key={item.href}
-          to={item.href}
-          className={cn(
-            buttonVariants({ variant: "ghost" }),
-            pathname === item.href
-              ? "border border-border bg-muted hover:bg-muted"
-              : "border border-transparent hover:border-border hover:bg-transparent",
-            "justify-start gap-2"
-          )}
-        >
-          {item.icon}
-          {item.title}
-        </Link>
-      ))}
+    <nav className={cn(className)} {...props}>
+      <HorizontalScrollFadeComponent>
+        {items.length > 0 ? (
+          <SideBarButtonsComponent items={items} pathname={pathname} />
+        ) : (
+          !loadingFolders &&
+          folders?.length > 0 &&
+          isFolderPath && (
+            <SideBarFoldersButtonsComponent
+              pathname={pathname}
+              handleChangeFolder={handleChangeFolder}
+              handleDeleteFolder={handleDeleteFolder}
+            />
+          )
+        )}
+      </HorizontalScrollFadeComponent>
     </nav>
   );
 }
diff --git a/src/frontend/src/components/stackedComponents/index.tsx b/src/frontend/src/components/stackedComponents/index.tsx
deleted file mode 100644
index 1d917fa3176..00000000000
--- a/src/frontend/src/components/stackedComponents/index.tsx
+++ /dev/null
@@ -1,30 +0,0 @@
-import React, { ReactNode } from "react";
-
-interface ElementStackProps {
-  children: ReactNode[];
-}
-
-const ElementStack: React.FC<ElementStackProps> = ({ children }) => {
-  return (
-    <div
-      className={`grid grid-cols-1`}
-      style={{ display: "grid", gridAutoFlow: "row" }}
-    >
-      {children.map((child, index) => (
-        <div
-          key={index}
-          style={{
-            gridColumn: 1,
-            gridRow: 1,
-            transform: `translateX(${index * 0.1}rem)`,
-            zIndex: children.length - index,
-          }}
-        >
-          {child}
-        </div>
-      ))}
-    </div>
-  );
-};
-
-export default ElementStack;
diff --git a/src/frontend/src/components/storeGuard/index.tsx b/src/frontend/src/components/storeGuard/index.tsx
index c2349044fa1..87f407656e2 100644
--- a/src/frontend/src/components/storeGuard/index.tsx
+++ b/src/frontend/src/components/storeGuard/index.tsx
@@ -5,7 +5,7 @@ export const StoreGuard = ({ children }) => {
   const hasStore = useStoreStore((state) => state.hasStore);
 
   if (!hasStore) {
-    return <Navigate to="/flows" replace />;
+    return <Navigate to="/all" replace />;
   }
 
   return children;
diff --git a/src/frontend/src/components/stringReaderComponent/index.tsx b/src/frontend/src/components/stringReaderComponent/index.tsx
new file mode 100644
index 00000000000..dfcb15b5486
--- /dev/null
+++ b/src/frontend/src/components/stringReaderComponent/index.tsx
@@ -0,0 +1,18 @@
+import { ColDef, Column } from "ag-grid-community";
+import TextModal from "../../modals/textModal";
+
+export default function StringReader({
+  string,
+  setValue,
+  editable = false,
+}: {
+  string: string;
+  setValue: (value: string) => void;
+  editable: boolean;
+}): JSX.Element {
+  return (
+    <TextModal editable={editable} setValue={setValue} value={string}>
+      <span className="truncate">{string}</span>
+    </TextModal>
+  );
+}
diff --git a/src/frontend/src/components/tableComponent/components/ResetColumns/index.tsx b/src/frontend/src/components/tableComponent/components/ResetColumns/index.tsx
new file mode 100644
index 00000000000..5bd4c15aa70
--- /dev/null
+++ b/src/frontend/src/components/tableComponent/components/ResetColumns/index.tsx
@@ -0,0 +1,20 @@
+import { cn } from "../../../../utils/utils";
+
+export default function ResetColumns({
+  resetGrid,
+}: {
+  resetGrid: () => void;
+}): JSX.Element {
+  return (
+    <div className={cn("absolute bottom-4 left-6")}>
+      <span
+        className="cursor-pointer underline"
+        onClick={() => {
+          resetGrid();
+        }}
+      >
+        Reset Columns
+      </span>
+    </div>
+  );
+}
diff --git a/src/frontend/src/components/tableComponent/components/TableOptions/index.tsx b/src/frontend/src/components/tableComponent/components/TableOptions/index.tsx
new file mode 100644
index 00000000000..05d3ea2719f
--- /dev/null
+++ b/src/frontend/src/components/tableComponent/components/TableOptions/index.tsx
@@ -0,0 +1,87 @@
+import { cn } from "../../../../utils/utils";
+import IconComponent from "../../../genericIconComponent";
+import ShadTooltip from "../../../shadTooltipComponent";
+import { Button } from "../../../ui/button";
+
+export default function TableOptions({
+  resetGrid,
+  duplicateRow,
+  deleteRow,
+  hasSelection,
+  stateChange,
+}: {
+  resetGrid: () => void;
+  duplicateRow?: () => void;
+  deleteRow?: () => void;
+  hasSelection: boolean;
+  stateChange: boolean;
+}): JSX.Element {
+  return (
+    <div className={cn("absolute bottom-3 left-6")}>
+      <div className="flex items-center gap-3">
+        <div>
+          <ShadTooltip content="Reset Columns">
+            <Button
+              unstyled
+              onClick={() => {
+                resetGrid();
+              }}
+              disabled={!stateChange}
+            >
+              <IconComponent
+                name="RotateCcw"
+                strokeWidth={2}
+                className={cn(
+                  "h-5 w-5 text-primary transition-all hover:text-accent-foreground",
+                )}
+              />
+            </Button>
+          </ShadTooltip>
+        </div>
+        {duplicateRow && (
+          <div>
+            <ShadTooltip
+              content={
+                !hasSelection ? (
+                  <span>Select items to duplicate</span>
+                ) : (
+                  <span>Duplicate selected items</span>
+                )
+              }
+            >
+              <Button unstyled onClick={duplicateRow} disabled={!hasSelection}>
+                <IconComponent
+                  name="Copy"
+                  className={cn("h-5 w-5 text-primary transition-all")}
+                />
+              </Button>
+            </ShadTooltip>
+          </div>
+        )}
+        {deleteRow && (
+          <div>
+            <ShadTooltip
+              content={
+                !hasSelection ? (
+                  <span>Select items to delete</span>
+                ) : (
+                  <span>Delete selected items</span>
+                )
+              }
+            >
+              <Button unstyled onClick={deleteRow} disabled={!hasSelection}>
+                <IconComponent
+                  name="Trash2"
+                  className={cn(
+                    "h-5 w-5 text-primary transition-all",
+                    !hasSelection ? "" : "hover:text-status-red",
+                  )}
+                />
+              </Button>
+            </ShadTooltip>
+          </div>
+        )}{" "}
+      </div>
+    </div>
+  );
+}
diff --git a/src/frontend/src/components/tableComponent/components/loadingOverlay/index.tsx b/src/frontend/src/components/tableComponent/components/loadingOverlay/index.tsx
new file mode 100644
index 00000000000..3f5e8c1cddf
--- /dev/null
+++ b/src/frontend/src/components/tableComponent/components/loadingOverlay/index.tsx
@@ -0,0 +1,9 @@
+import Loading from "../../../ui/loading";
+
+export default function LoadingOverlay() {
+  return (
+    <div className="flex h-full w-full items-center justify-center bg-background align-middle">
+      <Loading />
+    </div>
+  );
+}
diff --git a/src/frontend/src/components/tableComponent/components/tableAutoCellRender/index.tsx b/src/frontend/src/components/tableComponent/components/tableAutoCellRender/index.tsx
new file mode 100644
index 00000000000..a4bad2c4c56
--- /dev/null
+++ b/src/frontend/src/components/tableComponent/components/tableAutoCellRender/index.tsx
@@ -0,0 +1,74 @@
+import { CustomCellRendererProps } from "ag-grid-react";
+import { cn, isTimeStampString } from "../../../../utils/utils";
+import DateReader from "../../../dateReaderComponent";
+import NumberReader from "../../../numberReader";
+import ObjectRender from "../../../objectRender";
+import StringReader from "../../../stringReaderComponent";
+import { Badge } from "../../../ui/badge";
+
+export default function TableAutoCellRender({
+  value,
+  setValue,
+  colDef,
+}: CustomCellRendererProps) {
+  function getCellType() {
+    switch (typeof value) {
+      case "object":
+        if (value === null) {
+          return String(value);
+        } else if (Array.isArray(value)) {
+          return <ObjectRender object={value} />;
+        } else {
+          return <ObjectRender object={value} />;
+        }
+      case "string":
+        if (isTimeStampString(value)) {
+          return <DateReader date={value} />;
+        }
+        //TODO: REFACTOR FOR ANY LABEL NOT HARDCODED
+        else if (value === "success") {
+          return (
+            <Badge
+              variant="outline"
+              size="sq"
+              className={cn(
+                "h-[18px] w-full justify-center bg-success-background text-success-foreground hover:bg-success-background",
+              )}
+            >
+              {value}
+            </Badge>
+          );
+        } else if (value === "failure") {
+          return (
+            <Badge
+              variant="outline"
+              size="sq"
+              className={cn(
+                "h-[18px] w-full justify-center bg-error-background text-error-foreground hover:bg-error-background",
+              )}
+            >
+              {value}
+            </Badge>
+          );
+        } else {
+          return (
+            <StringReader
+              editable={!!colDef?.onCellValueChanged}
+              setValue={setValue!}
+              string={value}
+            />
+          );
+        }
+      case "number":
+        return <NumberReader number={value} />;
+      default:
+        return String(value);
+    }
+  }
+
+  return (
+    <div className="group flex h-full w-full truncate text-align-last-left">
+      {getCellType()}
+    </div>
+  );
+}
diff --git a/src/frontend/src/components/tableComponent/components/tableNodeCellRender/index.tsx b/src/frontend/src/components/tableComponent/components/tableNodeCellRender/index.tsx
new file mode 100644
index 00000000000..b5578813476
--- /dev/null
+++ b/src/frontend/src/components/tableComponent/components/tableNodeCellRender/index.tsx
@@ -0,0 +1,277 @@
+import { CustomCellRendererProps } from "ag-grid-react";
+import { cloneDeep } from "lodash";
+import { useState } from "react";
+import useFlowStore from "../../../../stores/flowStore";
+import {
+  convertObjToArray,
+  convertValuesToNumbers,
+  hasDuplicateKeys,
+  scapedJSONStringfy,
+} from "../../../../utils/reactflowUtils";
+import { classNames } from "../../../../utils/utils";
+import CodeAreaComponent from "../../../codeAreaComponent";
+import DictComponent from "../../../dictComponent";
+import Dropdown from "../../../dropdownComponent";
+import FloatComponent from "../../../floatComponent";
+import InputFileComponent from "../../../inputFileComponent";
+import InputGlobalComponent from "../../../inputGlobalComponent";
+import InputListComponent from "../../../inputListComponent";
+import IntComponent from "../../../intComponent";
+import KeypairListComponent from "../../../keypairListComponent";
+import PromptAreaComponent from "../../../promptComponent";
+import TextAreaComponent from "../../../textAreaComponent";
+import ToggleShadComponent from "../../../toggleShadComponent";
+
+export default function TableNodeCellRender({
+  node: { data },
+  value: {
+    value,
+    nodeClass,
+    handleOnNewValue: handleOnNewValueNode,
+    handleOnChangeDb: handleOnChangeDbNode,
+  },
+}: CustomCellRendererProps) {
+  const handleOnNewValue = (newValue: any, name: string) => {
+    handleOnNewValueNode(newValue, name);
+    setTemplateData((old) => {
+      let newData = cloneDeep(old);
+      newData.value = newValue;
+      return newData;
+    });
+    setTemplateValue(newValue);
+  };
+
+  const handleOnChangeDb = (newValue: boolean, name: string) => {
+    handleOnChangeDbNode(newValue, name);
+    setTemplateData((old) => {
+      let newData = cloneDeep(old);
+      newData.load_from_db = newValue;
+      return newData;
+    });
+  };
+
+  const [templateValue, setTemplateValue] = useState(value);
+  const [templateData, setTemplateData] = useState(data);
+
+  const [errorDuplicateKey, setErrorDuplicateKey] = useState(false);
+  const edges = useFlowStore((state) => state.edges);
+
+  const id = {
+    inputTypes: templateData.input_types,
+    type: templateData.type,
+    id: nodeClass.id,
+    fieldName: templateData.key,
+  };
+  const disabled =
+    edges.some(
+      (edge) =>
+        edge.targetHandle ===
+        scapedJSONStringfy(
+          templateData.proxy
+            ? {
+                ...id,
+                proxy: templateData.proxy,
+              }
+            : id,
+        ),
+    ) ?? false;
+  function getCellType() {
+    switch (templateData.type) {
+      case "str":
+        if (!templateData.options) {
+          return templateData?.list ? (
+            <InputListComponent
+              componentName={templateData.key ?? undefined}
+              editNode={true}
+              disabled={disabled}
+              value={
+                !templateValue || templateValue === "" ? [""] : templateValue
+              }
+              onChange={(value: string[]) => {
+                handleOnNewValue(value, templateData.key);
+              }}
+            />
+          ) : templateData.multiline ? (
+            <TextAreaComponent
+              id={"textarea-edit-" + templateData.name}
+              data-testid={"textarea-edit-" + templateData.name}
+              disabled={disabled}
+              editNode={true}
+              value={templateValue ?? ""}
+              onChange={(value: string | string[]) => {
+                handleOnNewValue(value, templateData.key);
+              }}
+            />
+          ) : (
+            <InputGlobalComponent
+              disabled={disabled}
+              editNode={true}
+              onChange={(value) => handleOnNewValue(value, templateData.key)}
+              setDb={(value) => {
+                handleOnChangeDb(value, templateData.key);
+              }}
+              name={templateData.key}
+              data={templateData}
+            />
+          );
+        } else {
+          return (
+            <Dropdown
+              editNode={true}
+              options={templateData.options}
+              onSelect={(value) => handleOnNewValue(value, templateData.key)}
+              value={templateValue ?? "Choose an option"}
+              id={"dropdown-edit-" + templateData.name}
+            />
+          );
+        }
+
+      case "NestedDict":
+        return (
+          <DictComponent
+            disabled={disabled}
+            editNode={true}
+            value={
+              (templateValue || "").toString() === "{}" ? {} : templateValue
+            }
+            onChange={(newValue) => {
+              handleOnNewValue(newValue, templateData.key);
+            }}
+            id="editnode-div-dict-input"
+          />
+        );
+
+      case "dict":
+        return (
+          <div
+            className={classNames(
+              "max-h-48 w-full overflow-auto custom-scroll",
+              templateValue?.length > 1 ? "my-3" : "",
+            )}
+          >
+            <KeypairListComponent
+              disabled={disabled}
+              editNode={true}
+              value={
+                templateValue?.length === 0 || !templateValue
+                  ? [{ "": "" }]
+                  : convertObjToArray(templateValue, templateData.type)
+              }
+              duplicateKey={errorDuplicateKey}
+              onChange={(newValue) => {
+                const valueToNumbers = convertValuesToNumbers(newValue);
+                setErrorDuplicateKey(hasDuplicateKeys(valueToNumbers));
+                handleOnNewValue(valueToNumbers, templateData.key);
+              }}
+              isList={templateData.list ?? false}
+            />
+          </div>
+        );
+
+      case "bool":
+        return (
+          <ToggleShadComponent
+            id={"toggle-edit-" + templateData.name}
+            disabled={disabled}
+            enabled={templateValue}
+            setEnabled={(isEnabled) => {
+              handleOnNewValue(isEnabled, templateData.key);
+            }}
+            size="small"
+            editNode={true}
+          />
+        );
+
+      case "float":
+        return (
+          <FloatComponent
+            disabled={disabled}
+            editNode={true}
+            rangeSpec={templateData.rangeSpec}
+            value={templateValue ?? ""}
+            onChange={(value) => {
+              handleOnNewValue(value, templateData.key);
+            }}
+          />
+        );
+      case "int":
+        return (
+          <IntComponent
+            rangeSpec={templateData.rangeSpec}
+            id={"edit-int-input-" + templateData.name}
+            disabled={disabled}
+            editNode={true}
+            value={templateValue ?? ""}
+            onChange={(value) => {
+              handleOnNewValue(value, templateData.key);
+            }}
+          />
+        );
+
+      case "file":
+        return (
+          <InputFileComponent
+            editNode={true}
+            disabled={disabled}
+            value={templateValue ?? ""}
+            onChange={(value: string | string[]) => {
+              handleOnNewValue(value, templateData.key);
+            }}
+            fileTypes={templateData.fileTypes}
+            onFileChange={(filePath: string) => {
+              templateData.file_path = filePath;
+            }}
+          />
+        );
+
+      case "prompt":
+        return (
+          <PromptAreaComponent
+            readonly={nodeClass.flow ? true : false}
+            field_name={templateData.key}
+            editNode={true}
+            disabled={disabled}
+            nodeClass={nodeClass}
+            setNodeClass={(value) => {
+              nodeClass = value;
+            }}
+            value={templateValue ?? ""}
+            onChange={(value: string | string[]) => {
+              handleOnNewValue(value, templateData.key);
+            }}
+            id={"prompt-area-edit-" + templateData.name}
+            data-testid={"modal-prompt-input-" + templateData.name}
+          />
+        );
+
+      case "code":
+        return (
+          <CodeAreaComponent
+            readonly={nodeClass.flow && templateData.dynamic ? true : false}
+            dynamic={templateData.dynamic ?? false}
+            setNodeClass={(value) => {
+              nodeClass = value;
+            }}
+            nodeClass={nodeClass}
+            disabled={disabled}
+            editNode={true}
+            value={templateValue ?? ""}
+            onChange={(value: string | string[]) => {
+              handleOnNewValue(value, templateData.key);
+            }}
+            id={"code-area-edit" + templateData.name}
+          />
+        );
+      case "Any":
+        return <>-</>;
+      default:
+        return String(templateValue);
+    }
+  }
+
+  return (
+    <div className="group mx-auto flex h-full w-[300px] items-center justify-center py-2.5">
+      {getCellType()}
+    </div>
+  );
+}
diff --git a/src/frontend/src/components/tableComponent/components/tableToggleCellRender/index.tsx b/src/frontend/src/components/tableComponent/components/tableToggleCellRender/index.tsx
new file mode 100644
index 00000000000..5fcf1b8758b
--- /dev/null
+++ b/src/frontend/src/components/tableComponent/components/tableToggleCellRender/index.tsx
@@ -0,0 +1,24 @@
+import { CustomCellRendererProps } from "ag-grid-react";
+import { useState } from "react";
+import ToggleShadComponent from "../../../toggleShadComponent";
+
+export default function TableToggleCellRender({
+  value: { name, enabled, setEnabled },
+}: CustomCellRendererProps) {
+  const [value, setValue] = useState(enabled);
+
+  return (
+    <div className="flex h-full items-center">
+      <ToggleShadComponent
+        id={"show" + name}
+        enabled={value}
+        setEnabled={(e) => {
+          setValue(e);
+          setEnabled(e);
+        }}
+        size="small"
+        editNode={true}
+      />
+    </div>
+  );
+}
diff --git a/src/frontend/src/components/tableComponent/components/tableTooltipRender/index.tsx b/src/frontend/src/components/tableComponent/components/tableTooltipRender/index.tsx
new file mode 100644
index 00000000000..d1644d62333
--- /dev/null
+++ b/src/frontend/src/components/tableComponent/components/tableTooltipRender/index.tsx
@@ -0,0 +1,9 @@
+import { CustomTooltipProps } from "ag-grid-react";
+
+export default function TableTooltipRender({ value }: CustomTooltipProps) {
+  return (
+    <div className="z-45 overflow-y-auto rounded-md border bg-popover px-3 py-1.5 text-sm text-popover-foreground shadow-md animate-in fade-in-50 data-[side=bottom]:slide-in-from-top-1 data-[side=left]:slide-in-from-right-1 data-[side=right]:slide-in-from-left-1 data-[side=top]:slide-in-from-bottom-1">
+      {value}
+    </div>
+  );
+}
diff --git a/src/frontend/src/components/tableComponent/index.tsx b/src/frontend/src/components/tableComponent/index.tsx
new file mode 100644
index 00000000000..a7523825888
--- /dev/null
+++ b/src/frontend/src/components/tableComponent/index.tsx
@@ -0,0 +1,197 @@
+import "ag-grid-community/styles/ag-grid.css"; // Mandatory CSS required by the grid
+import "ag-grid-community/styles/ag-theme-quartz.css"; // Optional Theme applied to the grid
+import { AgGridReact, AgGridReactProps } from "ag-grid-react";
+import cloneDeep from "lodash";
+import { ElementRef, forwardRef, useRef, useState } from "react";
+import { boolean } from "zod";
+import {
+  DEFAULT_TABLE_ALERT_MSG,
+  DEFAULT_TABLE_ALERT_TITLE,
+} from "../../constants/constants";
+import { useDarkStore } from "../../stores/darkStore";
+import "../../style/ag-theme-shadcn.css"; // Custom CSS applied to the grid
+import { cn } from "../../utils/utils";
+import ForwardedIconComponent from "../genericIconComponent";
+import { Alert, AlertDescription, AlertTitle } from "../ui/alert";
+import TableOptions from "./components/TableOptions";
+import resetGrid from "./utils/reset-grid-columns";
+
+interface TableComponentProps extends AgGridReactProps {
+  columnDefs: NonNullable<AgGridReactProps["columnDefs"]>;
+  rowData: NonNullable<AgGridReactProps["rowData"]>;
+  alertTitle?: string;
+  alertDescription?: string;
+  editable?:
+    | boolean
+    | string[]
+    | {
+        field: string;
+        onUpdate: (value: any) => void;
+        editableCell: boolean;
+      }[];
+  pagination?: boolean;
+  onDelete?: () => void;
+  onDuplicate?: () => void;
+}
+
+const TableComponent = forwardRef<
+  ElementRef<typeof AgGridReact>,
+  TableComponentProps
+>(
+  (
+    {
+      alertTitle = DEFAULT_TABLE_ALERT_TITLE,
+      alertDescription = DEFAULT_TABLE_ALERT_MSG,
+      ...props
+    },
+    ref,
+  ) => {
+    let colDef = props.columnDefs.map((col, index) => {
+      let newCol = {
+        ...col,
+      };
+      if (props.onSelectionChanged && index === 0) {
+        newCol = {
+          ...newCol,
+          checkboxSelection: true,
+          headerCheckboxSelection: true,
+          headerCheckboxSelectionFilteredOnly: true,
+        };
+      }
+      if (
+        (typeof props.editable === "boolean" && props.editable) ||
+        (Array.isArray(props.editable) &&
+          props.editable.every((field) => typeof field === "string") &&
+          (props.editable as Array<string>).includes(newCol.headerName ?? ""))
+      ) {
+        newCol = {
+          ...newCol,
+          editable: true,
+        };
+      }
+      if (
+        Array.isArray(props.editable) &&
+        props.editable.every((field) => typeof field === "object")
+      ) {
+        const field = (
+          props.editable as Array<{
+            field: string;
+            onUpdate: (value: any) => void;
+            editableCell: boolean;
+          }>
+        ).find((field) => field.field === newCol.headerName);
+        if (field) {
+          newCol = {
+            ...newCol,
+            editable: field.editableCell,
+            onCellValueChanged: (e) => field.onUpdate(e),
+          };
+        }
+      }
+      return newCol;
+    });
+    const gridRef = useRef(null);
+    // @ts-ignore
+    const realRef: React.MutableRefObject<AgGridReact> = ref?.current
+      ? ref
+      : gridRef;
+    const dark = useDarkStore((state) => state.dark);
+    const initialColumnDefs = useRef(colDef);
+    const [columnStateChange, setColumnStateChange] = useState(false);
+    const storeReference = props.columnDefs.map((e) => e.headerName).join("_");
+
+    const onGridReady = (params) => {
+      // @ts-ignore
+      realRef.current = params;
+      const updatedColumnDefs = [...colDef];
+      params.api.setGridOption("columnDefs", updatedColumnDefs);
+      const customInit = localStorage.getItem(storeReference);
+      initialColumnDefs.current = params.api.getColumnDefs();
+      if (customInit && realRef.current) {
+        realRef.current.api.applyColumnState({
+          state: JSON.parse(customInit),
+          applyOrder: true,
+        });
+      }
+      setTimeout(() => {
+        if (customInit && realRef.current) {
+          setColumnStateChange(true);
+        } else {
+          setColumnStateChange(false);
+        }
+      }, 50);
+      setTimeout(() => {
+        realRef?.current?.api?.hideOverlay();
+      }, 1000);
+      if (props.onGridReady) props.onGridReady(params);
+    };
+    const onColumnMoved = (params) => {
+      const updatedColumnDefs = cloneDeep(
+        params.columnApi.getAllGridColumns().map((col) => col.getColDef()),
+      );
+      params.api.setGridOption("columnDefs", updatedColumnDefs);
+      if (props.onColumnMoved) props.onColumnMoved(params);
+    };
+    if (props.rowData.length === 0) {
+      return (
+        <div className="flex h-full w-full items-center justify-center rounded-md border">
+          <Alert variant={"default"} className="w-fit">
+            <ForwardedIconComponent
+              name="AlertCircle"
+              className="h-5 w-5 text-primary"
+            />
+            <AlertTitle>{alertTitle}</AlertTitle>
+            <AlertDescription>{alertDescription}</AlertDescription>
+          </Alert>
+        </div>
+      );
+    }
+    return (
+      <div
+        className={cn(
+          dark ? "ag-theme-quartz-dark" : "ag-theme-quartz",
+          "ag-theme-shadcn flex h-full flex-col",
+          "relative",
+        )} // applying the grid theme
+      >
+        <AgGridReact
+          {...props}
+          defaultColDef={{
+            minWidth: 100,
+          }}
+          animateRows={false}
+          columnDefs={colDef}
+          ref={realRef}
+          onGridReady={onGridReady}
+          onColumnMoved={onColumnMoved}
+          onStateUpdated={(e) => {
+            if (e.sources.some((source) => source.includes("column"))) {
+              localStorage.setItem(
+                storeReference,
+                JSON.stringify(realRef.current?.api?.getColumnState()),
+              );
+              setColumnStateChange(true);
+            }
+          }}
+        />
+        {props.pagination && (
+          <TableOptions
+            stateChange={columnStateChange}
+            hasSelection={realRef.current?.api?.getSelectedRows().length > 0}
+            duplicateRow={props.onDuplicate ? props.onDuplicate : undefined}
+            deleteRow={props.onDelete ? props.onDelete : undefined}
+            resetGrid={() => {
+              resetGrid(realRef, initialColumnDefs);
+              setTimeout(() => {
+                setColumnStateChange(false);
+                localStorage.removeItem(storeReference);
+              }, 100);
+            }}
+          />
+        )}
+      </div>
+    );
+  },
+);
+
+export default TableComponent;
diff --git a/src/frontend/src/components/tableComponent/utils/reset-grid-columns.tsx b/src/frontend/src/components/tableComponent/utils/reset-grid-columns.tsx
new file mode 100644
index 00000000000..6dc8411045d
--- /dev/null
+++ b/src/frontend/src/components/tableComponent/utils/reset-grid-columns.tsx
@@ -0,0 +1,12 @@
+export default function resetGrid(ref, initialColumnDefs) {
+  if (ref?.current && ref?.current.api) {
+    ref.current.api.resetColumnState();
+    if (initialColumnDefs.current) {
+      const resetColumns = ref.current.api.applyColumnState({
+        state: initialColumnDefs.current,
+        applyOrder: true,
+      });
+      return resetColumns;
+    }
+  }
+}
diff --git a/src/frontend/src/components/tagsSelectorComponent/index.tsx b/src/frontend/src/components/tagsSelectorComponent/index.tsx
index a6ffd953a59..95bcc1101f6 100644
--- a/src/frontend/src/components/tagsSelectorComponent/index.tsx
+++ b/src/frontend/src/components/tagsSelectorComponent/index.tsx
@@ -1,5 +1,5 @@
-import { useEffect, useRef, useState } from "react";
 import { cn } from "../../utils/utils";
+import HorizontalScrollFadeComponent from "../horizontalScrollFadeComponent";
 import { Badge } from "../ui/badge";
 
 export function TagsSelector({
@@ -24,86 +24,37 @@ export function TagsSelector({
     setSelectedTags(newArray);
   };
 
-  const scrollContainerRef = useRef<HTMLDivElement>(null);
-  const fadeContainerRef = useRef<HTMLDivElement>(null);
-  const [divWidth, setDivWidth] = useState<number>(0);
-
-  useEffect(() => {
-    const handleResize = () => {
-      if (scrollContainerRef.current) {
-        setDivWidth(scrollContainerRef.current.clientWidth);
-      }
-    };
-
-    window.addEventListener("resize", handleResize);
-    handleResize(); // call the function at start to get the initial width
-    return () => window.removeEventListener("resize", handleResize);
-  }, []);
-
-  useEffect(() => {
-    const handleScroll = () => {
-      if (!scrollContainerRef.current || !fadeContainerRef.current) return;
-
-      const { scrollLeft, scrollWidth, clientWidth } =
-        scrollContainerRef.current;
-      const atStart = scrollLeft === 0;
-      const atEnd = scrollLeft === scrollWidth - clientWidth;
-      const isScrollable = scrollWidth > clientWidth;
-
-      fadeContainerRef.current.classList.toggle(
-        "fade-left",
-        isScrollable && !atStart
-      );
-      fadeContainerRef.current.classList.toggle(
-        "fade-right",
-        isScrollable && !atEnd
-      );
-    };
-
-    const scrollContainer = scrollContainerRef.current;
-    if (scrollContainer) {
-      scrollContainer.addEventListener("scroll", handleScroll);
-      // Delay the initial scroll event dispatch to ensure correct calculation
-      scrollContainer.dispatchEvent(new Event("scroll"));
-      return () => scrollContainer.removeEventListener("scroll", handleScroll);
-    }
-  }, [divWidth, loadingTags]); // Depend on divWidth
-
   return (
-    <div ref={fadeContainerRef} className="fade-container">
-      <div
-        ref={scrollContainerRef}
-        className="scroll-container flex min-w-min gap-2"
-      >
-        {!loadingTags &&
-          tags.map((tag, idx) => (
-            <button
-              disabled={disabled}
-              className={
-                disabled
-                  ? "cursor-not-allowed"
-                  : " overflow-hidden whitespace-nowrap"
-              }
-              onClick={() => {
-                updateTags(tag.name);
-              }}
+    <HorizontalScrollFadeComponent isFolder={false}>
+      {!loadingTags &&
+        tags.map((tag, idx) => (
+          <button
+            disabled={disabled}
+            className={
+              disabled
+                ? "cursor-not-allowed"
+                : "overflow-hidden whitespace-nowrap"
+            }
+            onClick={() => {
+              updateTags(tag.name);
+            }}
+            key={idx}
+            data-testid={`tag-selector-${tag.name}`}
+          >
+            <Badge
               key={idx}
+              variant="outline"
+              size="sq"
+              className={cn(
+                selectedTags.some((category) => category === tag.name)
+                  ? "min-w-min bg-beta-foreground text-background hover:bg-beta-foreground"
+                  : "",
+              )}
             >
-              <Badge
-                key={idx}
-                variant="outline"
-                size="sq"
-                className={cn(
-                  selectedTags.some((category) => category === tag.name)
-                    ? "min-w-min bg-beta-foreground text-background hover:bg-beta-foreground"
-                    : ""
-                )}
-              >
-                {tag.name}
-              </Badge>
-            </button>
-          ))}
-      </div>
-    </div>
+              {tag.name}
+            </Badge>
+          </button>
+        ))}
+    </HorizontalScrollFadeComponent>
   );
 }
diff --git a/src/frontend/src/components/textAreaComponent/index.tsx b/src/frontend/src/components/textAreaComponent/index.tsx
index 39d57ebf33b..ce42437d7c0 100644
--- a/src/frontend/src/components/textAreaComponent/index.tsx
+++ b/src/frontend/src/components/textAreaComponent/index.tsx
@@ -1,8 +1,10 @@
 import { useEffect } from "react";
+import { EDIT_TEXT_MODAL_TITLE } from "../../constants/constants";
 import { TypeModal } from "../../constants/enums";
 import GenericModal from "../../modals/genericModal";
 import { TextAreaComponentType } from "../../types/components";
 import IconComponent from "../genericIconComponent";
+import { Button } from "../ui/button";
 import { Input } from "../ui/input";
 
 export default function TextAreaComponent({
@@ -15,53 +17,51 @@ export default function TextAreaComponent({
   // Clear text area
   useEffect(() => {
     if (disabled && value !== "") {
-      onChange("");
+      onChange("", true);
     }
   }, [disabled]);
 
   return (
-    <div
-      className={
-        "flex w-full items-center " + (disabled ? "pointer-events-none" : "")
-      }
-    >
-      <GenericModal
-        type={TypeModal.TEXT}
-        buttonText="Finishing Editing"
-        modalTitle="Edit Text"
-        value={value}
-        setValue={(value: string) => {
-          onChange(value);
-        }}
-      >
-        <div className="flex w-full items-center" data-testid={"div-" + id}>
-          <Input
-            id={id}
-            data-testid={id}
+    <div className={"flex w-full items-center " + (disabled ? "" : "")}>
+      <div className="flex w-full items-center gap-3" data-testid={"div-" + id}>
+        <Input
+          id={id}
+          data-testid={id}
+          value={value}
+          disabled={disabled}
+          className={editNode ? "input-edit-node w-full" : "w-full"}
+          placeholder={"Type something..."}
+          onChange={(event) => {
+            onChange(event.target.value);
+          }}
+        />
+        <div className="flex items-center">
+          <GenericModal
+            type={TypeModal.TEXT}
+            buttonText="Finish Editing"
+            modalTitle={EDIT_TEXT_MODAL_TITLE}
             value={value}
-            disabled={disabled}
-            className={
-              editNode
-                ? "input-edit-node pointer-events-none "
-                : " pointer-events-none"
-            }
-            placeholder={"Type something..."}
-            onChange={(event) => {
-              onChange(event.target.value);
+            setValue={(value: string) => {
+              onChange(value);
             }}
-          />
-          {!editNode && (
-            <IconComponent
-              id={id}
-              name="ExternalLink"
-              className={
-                "icons-parameters-comp" +
-                (disabled ? " text-ring" : " hover:text-accent-foreground")
-              }
-            />
-          )}
+            disabled={disabled}
+          >
+            {!editNode && (
+              <Button unstyled>
+                <IconComponent
+                  strokeWidth={1.5}
+                  id={id}
+                  name="ExternalLink"
+                  className={
+                    "icons-parameters-comp shrink-0" +
+                    (disabled ? " text-ring" : " hover:text-accent-foreground")
+                  }
+                />
+              </Button>
+            )}
+          </GenericModal>
         </div>
-      </GenericModal>
+      </div>
     </div>
   );
 }
diff --git a/src/frontend/src/components/textInputComponent/index.tsx b/src/frontend/src/components/textInputComponent/index.tsx
new file mode 100644
index 00000000000..6d81ea9c218
--- /dev/null
+++ b/src/frontend/src/components/textInputComponent/index.tsx
@@ -0,0 +1,15 @@
+export default function TextInputComponent({
+  text,
+  emissor,
+}: {
+  text: string;
+  emissor: string;
+}) {
+  return (
+    <div>
+      <strong> {emissor}</strong>
+      <br></br>
+      <span>{text}</span>
+    </div>
+  );
+}
diff --git a/src/frontend/src/components/textOutputComponent/index.tsx b/src/frontend/src/components/textOutputComponent/index.tsx
new file mode 100644
index 00000000000..d33fb930f46
--- /dev/null
+++ b/src/frontend/src/components/textOutputComponent/index.tsx
@@ -0,0 +1,15 @@
+export default function TextOutputComponent({
+  text,
+  emissor,
+}: {
+  text: string;
+  emissor: string;
+}) {
+  return (
+    <div>
+      <strong>{emissor}</strong>
+      <br></br>
+      <div className="w-80 break-all">{text}</div>
+    </div>
+  );
+}
diff --git a/src/frontend/src/components/toggleComponent/index.tsx b/src/frontend/src/components/toggleComponent/index.tsx
deleted file mode 100644
index 52d012c6118..00000000000
--- a/src/frontend/src/components/toggleComponent/index.tsx
+++ /dev/null
@@ -1,59 +0,0 @@
-import { Switch } from "@headlessui/react";
-import { useEffect } from "react";
-import { ToggleComponentType } from "../../types/components";
-import { classNames } from "../../utils/utils";
-
-export default function ToggleComponent({
-  enabled,
-  setEnabled,
-  disabled,
-}: ToggleComponentType): JSX.Element {
-  // set component state as disabled
-  useEffect(() => {
-    if (disabled) {
-      setEnabled(false);
-    }
-  }, [disabled, setEnabled]);
-  return (
-    <div className={disabled ? "pointer-events-none cursor-not-allowed" : ""}>
-      <Switch
-        checked={enabled}
-        onChange={(isEnabled: boolean) => {
-          setEnabled(isEnabled);
-        }}
-        className={classNames(
-          enabled ? "bg-primary" : "bg-input",
-          "toggle-component-switch "
-        )}
-      >
-        <span className="sr-only">Use setting</span>
-        <span
-          className={classNames(
-            enabled ? "translate-x-5" : "translate-x-0",
-            "toggle-component-span",
-            disabled ? "bg-input " : "bg-background"
-          )}
-        >
-          <span
-            className={classNames(
-              enabled
-                ? "opacity-0 duration-100 ease-out"
-                : "opacity-100 duration-200 ease-in",
-              "toggle-component-second-span"
-            )}
-            aria-hidden="true"
-          ></span>
-          <span
-            className={classNames(
-              enabled
-                ? "opacity-100 duration-200 ease-in"
-                : "opacity-0 duration-100 ease-out",
-              "toggle-component-second-span"
-            )}
-            aria-hidden="true"
-          ></span>
-        </span>
-      </Switch>
-    </div>
-  );
-}
diff --git a/src/frontend/src/components/toggleShadComponent/index.tsx b/src/frontend/src/components/toggleShadComponent/index.tsx
index 328b1f9115a..e76518f0335 100644
--- a/src/frontend/src/components/toggleShadComponent/index.tsx
+++ b/src/frontend/src/components/toggleShadComponent/index.tsx
@@ -7,6 +7,7 @@ export default function ToggleShadComponent({
   disabled,
   size,
   id = "",
+  editNode = false,
 }: ToggleComponentType): JSX.Element {
   let scaleX, scaleY;
   switch (size) {
@@ -28,19 +29,18 @@ export default function ToggleShadComponent({
   }
 
   return (
-    <div className={disabled ? "pointer-events-none cursor-not-allowed " : ""}>
-      <Switch
-        id={id}
-        style={{
-          transform: `scaleX(${scaleX}) scaleY(${scaleY})`,
-        }}
-        disabled={disabled}
-        className=""
-        checked={enabled}
-        onCheckedChange={(isEnabled: boolean) => {
-          setEnabled(isEnabled);
-        }}
-      ></Switch>
-    </div>
+    <Switch
+      id={id}
+      data-testid={id}
+      style={{
+        transform: `scaleX(${scaleX}) scaleY(${scaleY})`,
+      }}
+      disabled={disabled}
+      className=""
+      checked={enabled}
+      onCheckedChange={(isEnabled: boolean) => {
+        setEnabled(isEnabled);
+      }}
+    ></Switch>
   );
 }
diff --git a/src/frontend/src/components/ui/accordion.tsx b/src/frontend/src/components/ui/accordion.tsx
index ce3f241861a..d7862e1e592 100644
--- a/src/frontend/src/components/ui/accordion.tsx
+++ b/src/frontend/src/components/ui/accordion.tsx
@@ -4,6 +4,7 @@ import * as AccordionPrimitive from "@radix-ui/react-accordion";
 import { ChevronDownIcon } from "@radix-ui/react-icons";
 import * as React from "react";
 import { cn } from "../../utils/utils";
+import ShadTooltip from "../shadTooltipComponent";
 
 const Accordion = AccordionPrimitive.Root;
 
@@ -22,17 +23,33 @@ AccordionItem.displayName = "AccordionItem";
 const AccordionTrigger = React.forwardRef<
   React.ElementRef<typeof AccordionPrimitive.Trigger>,
   React.ComponentPropsWithoutRef<typeof AccordionPrimitive.Trigger>
->(({ className, children, ...props }, ref) => (
+>(({ className, children, disabled, ...props }, ref) => (
   <AccordionPrimitive.Header className="flex">
-    <AccordionPrimitive.Trigger asChild ref={ref} {...props}>
+    <AccordionPrimitive.Trigger
+      disabled={disabled}
+      asChild
+      ref={ref}
+      {...props}
+    >
       <div
         className={cn(
           "flex flex-1 cursor-pointer items-center justify-between py-4 text-sm font-medium transition-all [&[data-state=open]>svg]:rotate-180",
-          className
+          className,
         )}
       >
         {children}
-        <ChevronDownIcon className="h-4 w-4 text-muted-foreground transition-transform duration-200" />
+        <ShadTooltip
+          styleClasses="z-50"
+          content={disabled ? "Empty" : "Open"}
+          side="top"
+        >
+          <ChevronDownIcon
+            className={cn(
+              "h-4 w-4 font-bold transition-transform duration-200",
+              disabled ? "text-muted-foreground" : "text-primary",
+            )}
+          />
+        </ShadTooltip>
       </div>
     </AccordionPrimitive.Trigger>
   </AccordionPrimitive.Header>
@@ -47,7 +64,7 @@ const AccordionContent = React.forwardRef<
     ref={ref}
     className={cn(
       "data-[state=closed]:animate-accordion-up data-[state=open]:animate-accordion-down overflow-hidden text-sm",
-      className
+      className,
     )}
     {...props}
   >
diff --git a/src/frontend/src/components/ui/alert.tsx b/src/frontend/src/components/ui/alert.tsx
new file mode 100644
index 00000000000..05c5b7fa71f
--- /dev/null
+++ b/src/frontend/src/components/ui/alert.tsx
@@ -0,0 +1,58 @@
+import { cva, type VariantProps } from "class-variance-authority";
+import * as React from "react";
+import { cn } from "../../utils/utils";
+
+const alertVariants = cva(
+  "relative w-full rounded-lg border p-4 [&>svg~*]:pl-7 [&>svg+div]:translate-y-[-3px] [&>svg]:absolute [&>svg]:left-4 [&>svg]:top-4 [&>svg]:text-foreground",
+  {
+    variants: {
+      variant: {
+        default: "bg-background text-foreground",
+        destructive:
+          "border-destructive/50 text-destructive dark:border-destructive [&>svg]:text-destructive",
+      },
+    },
+    defaultVariants: {
+      variant: "default",
+    },
+  },
+);
+
+const Alert = React.forwardRef<
+  HTMLDivElement,
+  React.HTMLAttributes<HTMLDivElement> & VariantProps<typeof alertVariants>
+>(({ className, variant, ...props }, ref) => (
+  <div
+    ref={ref}
+    role="alert"
+    className={cn(alertVariants({ variant }), className)}
+    {...props}
+  />
+));
+Alert.displayName = "Alert";
+
+const AlertTitle = React.forwardRef<
+  HTMLParagraphElement,
+  React.HTMLAttributes<HTMLHeadingElement>
+>(({ className, ...props }, ref) => (
+  <h5
+    ref={ref}
+    className={cn("mb-1 font-medium leading-none tracking-tight", className)}
+    {...props}
+  />
+));
+AlertTitle.displayName = "AlertTitle";
+
+const AlertDescription = React.forwardRef<
+  HTMLParagraphElement,
+  React.HTMLAttributes<HTMLParagraphElement>
+>(({ className, ...props }, ref) => (
+  <div
+    ref={ref}
+    className={cn("text-sm [&_p]:leading-relaxed", className)}
+    {...props}
+  />
+));
+AlertDescription.displayName = "AlertDescription";
+
+export { Alert, AlertDescription, AlertTitle };
diff --git a/src/frontend/src/components/ui/badge.tsx b/src/frontend/src/components/ui/badge.tsx
index 9b0fd8ff864..6eea7971a30 100644
--- a/src/frontend/src/components/ui/badge.tsx
+++ b/src/frontend/src/components/ui/badge.tsx
@@ -14,7 +14,7 @@ const badgeVariants = cva(
           "bg-secondary hover:bg-secondary/80 border-transparent text-secondary-foreground",
         destructive:
           "bg-destructive hover:bg-destructive/80 border-transparent text-destructive-foreground",
-        outline: "text-primary/80 hover:bg-muted border-ring/60",
+        outline: "text-primary/80 border-ring/60",
       },
       size: {
         sm: "h-4 text-xs",
@@ -27,7 +27,7 @@ const badgeVariants = cva(
     defaultVariants: {
       variant: "default",
     },
-  }
+  },
 );
 
 export interface BadgeProps
diff --git a/src/frontend/src/components/ui/button.tsx b/src/frontend/src/components/ui/button.tsx
index aa951b0bbed..f491abdfe9c 100644
--- a/src/frontend/src/components/ui/button.tsx
+++ b/src/frontend/src/components/ui/button.tsx
@@ -2,9 +2,10 @@ import { Slot } from "@radix-ui/react-slot";
 import { cva, type VariantProps } from "class-variance-authority";
 import * as React from "react";
 import { cn } from "../../utils/utils";
+import ForwardedIconComponent from "../genericIconComponent";
 
 const buttonVariants = cva(
-  "inline-flex items-center justify-center rounded-md text-sm font-medium transition-colors focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:opacity-50 disabled:pointer-events-none ring-offset-background",
+  "nocopy nowheel nopan nodelete nodrag noundo inline-flex items-center gap-2 justify-center rounded-md text-sm font-medium transition-colors focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:opacity-50 disabled:pointer-events-none  ring-offset-background",
   {
     variants: {
       variant: {
@@ -12,7 +13,7 @@ const buttonVariants = cva(
         destructive:
           "bg-destructive text-destructive-foreground hover:bg-destructive/90",
         outline:
-          "border border-input hover:bg-accent hover:text-accent-foreground",
+          "border border-input hover:bg-input hover:text-accent-foreground",
         primary:
           "border bg-background text-secondary-foreground hover:bg-secondary-foreground/5 dark:hover:bg-background/10 hover:shadow-sm",
         secondary:
@@ -23,34 +24,84 @@ const buttonVariants = cva(
       size: {
         default: "h-10 py-2 px-4",
         sm: "h-9 px-3 rounded-md",
-        xs: "py-1 px-1 rounded-md",
+        xs: "py-0.5 px-3 rounded-md",
         lg: "h-11 px-8 rounded-md",
+        icon: "py-1 px-1 rounded-md",
       },
     },
     defaultVariants: {
       variant: "default",
       size: "default",
     },
-  }
+  },
 );
 
 export interface ButtonProps
   extends React.ButtonHTMLAttributes<HTMLButtonElement>,
     VariantProps<typeof buttonVariants> {
   asChild?: boolean;
+  loading?: boolean;
+  unstyled?: boolean;
+}
+
+function toTitleCase(text: string) {
+  return text
+    .split(" ")
+    .map((word) => word.charAt(0).toUpperCase() + word.slice(1).toLowerCase())
+    .join(" ");
 }
 
 const Button = React.forwardRef<HTMLButtonElement, ButtonProps>(
-  ({ className, variant, size, asChild = false, ...props }, ref) => {
+  (
+    {
+      className,
+      variant,
+      unstyled,
+      size,
+      loading,
+      type,
+      disabled,
+      asChild = false,
+      children,
+      ...props
+    },
+    ref,
+  ) => {
     const Comp = asChild ? Slot : "button";
+    let newChildren = children;
+    if (typeof children === "string") {
+      newChildren = toTitleCase(children);
+    }
     return (
-      <Comp
-        className={cn(buttonVariants({ variant, size, className }))}
-        ref={ref}
-        {...props}
-      />
+      <>
+        <Comp
+          className={
+            !unstyled
+              ? buttonVariants({ variant, size, className })
+              : cn(className, "nocopy nowheel nopan nodelete nodrag noundo")
+          }
+          disabled={loading || disabled}
+          {...(asChild ? {} : { type: type || "button" })}
+          ref={ref}
+          {...props}
+        >
+          {loading ? (
+            <span className="relative">
+              <span className="invisible">{newChildren}</span>
+              <span className="absolute inset-0">
+                <ForwardedIconComponent
+                  name={"Loader2"}
+                  className={"m-auto h-full animate-spin"}
+                />
+              </span>
+            </span>
+          ) : (
+            newChildren
+          )}
+        </Comp>
+      </>
     );
-  }
+  },
 );
 Button.displayName = "Button";
 
diff --git a/src/frontend/src/components/ui/card.tsx b/src/frontend/src/components/ui/card.tsx
index 459396f4680..11a72e215cd 100644
--- a/src/frontend/src/components/ui/card.tsx
+++ b/src/frontend/src/components/ui/card.tsx
@@ -8,8 +8,8 @@ const Card = React.forwardRef<
   <div
     ref={ref}
     className={cn(
-      "flex flex-col justify-between rounded-lg border bg-muted text-card-foreground shadow-sm transition-all hover:shadow-lg",
-      className
+      "flex flex-col justify-between rounded-lg border bg-muted text-card-foreground shadow-sm transition-all",
+      className,
     )}
     {...props}
   />
@@ -36,7 +36,7 @@ const CardTitle = React.forwardRef<
     ref={ref}
     className={cn(
       "text-base font-semibold leading-tight tracking-tight",
-      className
+      className,
     )}
     {...props}
   />
@@ -69,7 +69,7 @@ const CardFooter = React.forwardRef<
 >(({ className, ...props }, ref) => (
   <div
     ref={ref}
-    className={cn(" flex items-center p-4 pt-0", className)}
+    className={cn("flex items-center p-4 pt-0", className)}
     {...props}
   />
 ));
diff --git a/src/frontend/src/components/ui/checkbox.tsx b/src/frontend/src/components/ui/checkbox.tsx
index fa58b9a7fe5..1c3d1e4fe78 100644
--- a/src/frontend/src/components/ui/checkbox.tsx
+++ b/src/frontend/src/components/ui/checkbox.tsx
@@ -13,14 +13,14 @@ const Checkbox = React.forwardRef<
     ref={ref}
     className={cn(
       "peer h-4 w-4 shrink-0 rounded-sm border border-primary ring-offset-background focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-50 data-[state=checked]:bg-primary data-[state=checked]:text-primary-foreground",
-      className
+      className,
     )}
     {...props}
   >
     <CheckboxPrimitive.Indicator
       className={cn("flex items-center justify-center text-current")}
     >
-      <IconComponent name="Check" className="h-4 w-4" />
+      <IconComponent name="Check" className="h-4 w-4 stroke-2" />
     </CheckboxPrimitive.Indicator>
   </CheckboxPrimitive.Root>
 ));
@@ -37,7 +37,7 @@ const CheckBoxDiv = ({
     className={cn(
       className,
       "peer h-4 w-4 shrink-0 rounded-sm border border-primary ring-offset-background focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-50",
-      checked ? "bg-primary text-primary-foreground" : ""
+      checked ? "bg-primary text-primary-foreground" : "",
     )}
   >
     {checked && (
diff --git a/src/frontend/src/components/ui/checkmark.tsx b/src/frontend/src/components/ui/checkmark.tsx
new file mode 100644
index 00000000000..e28b66963cf
--- /dev/null
+++ b/src/frontend/src/components/ui/checkmark.tsx
@@ -0,0 +1,31 @@
+import { AnimatePresence, motion } from "framer-motion";
+export default function Checkmark({ initial = true, isVisible, className }) {
+  return (
+    <AnimatePresence initial={initial}>
+      {isVisible && (
+        <svg
+          xmlns="http://www.w3.org/2000/svg"
+          fill="none"
+          viewBox="0 0 24 24"
+          strokeWidth={2}
+          stroke="currentColor"
+          className={"CheckIcon " + className}
+        >
+          <motion.path
+            initial={{ pathLength: 0, pathOffset: 1 }}
+            animate={{ pathLength: 1, pathOffset: 0 }}
+            exit={{ pathLength: 0, pathOffset: 1 }}
+            transition={{
+              type: "tween",
+              duration: 0.3,
+              ease: isVisible ? "easeOut" : "easeIn",
+            }}
+            strokeLinecap="round"
+            strokeLinejoin="round"
+            d="M20 6 9 17l-5-5"
+          />
+        </svg>
+      )}
+    </AnimatePresence>
+  );
+}
diff --git a/src/frontend/src/components/ui/combobox.tsx b/src/frontend/src/components/ui/combobox.tsx
index faaafda567c..3f35ce6a765 100644
--- a/src/frontend/src/components/ui/combobox.tsx
+++ b/src/frontend/src/components/ui/combobox.tsx
@@ -65,7 +65,7 @@ export function Combobox({
                     "mr-2 h-4 w-4",
                     value.includes(framework.value)
                       ? "opacity-100"
-                      : "opacity-0"
+                      : "opacity-0",
                   )}
                 />
                 {framework.label}
diff --git a/src/frontend/src/components/ui/command.tsx b/src/frontend/src/components/ui/command.tsx
index 4d38757a6ff..a98bc0cf0c6 100644
--- a/src/frontend/src/components/ui/command.tsx
+++ b/src/frontend/src/components/ui/command.tsx
@@ -16,7 +16,7 @@ const Command = React.forwardRef<
     ref={ref}
     className={cn(
       "flex h-full w-full flex-col overflow-hidden rounded-md bg-popover text-popover-foreground",
-      className
+      className,
     )}
     {...props}
   />
@@ -47,7 +47,7 @@ const CommandInput = React.forwardRef<
       ref={ref}
       className={cn(
         "flex h-11 w-full rounded-md bg-transparent py-3 text-sm outline-none placeholder:text-muted-foreground disabled:cursor-not-allowed disabled:opacity-50",
-        className
+        className,
       )}
       {...props}
     />
@@ -90,7 +90,7 @@ const CommandGroup = React.forwardRef<
     ref={ref}
     className={cn(
       "overflow-hidden p-1 text-foreground [&_[cmdk-group-heading]]:px-2 [&_[cmdk-group-heading]]:py-1.5 [&_[cmdk-group-heading]]:text-xs [&_[cmdk-group-heading]]:font-medium [&_[cmdk-group-heading]]:text-muted-foreground",
-      className
+      className,
     )}
     {...props}
   />
@@ -117,8 +117,8 @@ const CommandItem = React.forwardRef<
   <CommandPrimitive.Item
     ref={ref}
     className={cn(
-      "relative flex cursor-default select-none items-center rounded-sm px-2 py-1.5 text-sm outline-none aria-selected:bg-accent aria-selected:text-accent-foreground data-[disabled]:pointer-events-none data-[disabled]:opacity-50",
-      className
+      "relative flex cursor-default select-none items-center rounded-sm px-2 py-1.5 text-sm outline-none aria-selected:bg-accent aria-selected:text-accent-foreground data-[disabled=true]:pointer-events-none data-[disabled=true]:opacity-50",
+      className,
     )}
     {...props}
   />
@@ -134,7 +134,7 @@ const CommandShortcut = ({
     <span
       className={cn(
         "ml-auto text-xs tracking-widest text-muted-foreground",
-        className
+        className,
       )}
       {...props}
     />
diff --git a/src/frontend/src/components/ui/custom-accordion.tsx b/src/frontend/src/components/ui/custom-accordion.tsx
new file mode 100644
index 00000000000..238e0ddabec
--- /dev/null
+++ b/src/frontend/src/components/ui/custom-accordion.tsx
@@ -0,0 +1,55 @@
+"use client";
+
+import * as AccordionPrimitive from "@radix-ui/react-accordion";
+import { ChevronDownIcon } from "@radix-ui/react-icons";
+import * as React from "react";
+import { cn } from "../../utils/utils";
+
+const Accordion = AccordionPrimitive.Root;
+
+const AccordionItem = React.forwardRef<
+  React.ElementRef<typeof AccordionPrimitive.Item>,
+  React.ComponentPropsWithoutRef<typeof AccordionPrimitive.Item>
+>(({ className, ...props }, ref) => (
+  <AccordionPrimitive.Item ref={ref} className={cn("", className)} {...props} />
+));
+AccordionItem.displayName = "AccordionItem";
+
+const AccordionTrigger = React.forwardRef<
+  React.ElementRef<typeof AccordionPrimitive.Trigger>,
+  React.ComponentPropsWithoutRef<typeof AccordionPrimitive.Trigger>
+>(({ className, children, ...props }, ref) => (
+  <AccordionPrimitive.Header className="flex">
+    <AccordionPrimitive.Trigger asChild ref={ref} {...props}>
+      <div
+        className={cn(
+          "flex flex-1 cursor-pointer items-center justify-between border-[1px] py-2 text-sm font-medium data-[state=closed]:rounded-md data-[state=open]:rounded-t-md data-[state=open]:border-b-0 data-[state=open]:bg-muted [&[data-state=open]>svg]:rotate-180",
+          className,
+        )}
+      >
+        {children}
+        <ChevronDownIcon className="h-4 w-4 font-bold text-primary transition-transform duration-200" />
+      </div>
+    </AccordionPrimitive.Trigger>
+  </AccordionPrimitive.Header>
+));
+AccordionTrigger.displayName = AccordionPrimitive.Trigger.displayName;
+
+const AccordionContent = React.forwardRef<
+  React.ElementRef<typeof AccordionPrimitive.Content>,
+  React.ComponentPropsWithoutRef<typeof AccordionPrimitive.Content>
+>(({ className, children, ...props }, ref) => (
+  <AccordionPrimitive.Content
+    ref={ref}
+    className={cn(
+      "data-[state=closed]:animate-accordion-up data-[state=open]:animate-accordion-down overflow-hidden border-[1px] text-sm data-[state=open]:rounded-b-md data-[state=open]:border-t-0 data-[state=open]:bg-muted",
+      className,
+    )}
+    {...props}
+  >
+    <div className="pt-0">{children}</div>
+  </AccordionPrimitive.Content>
+));
+AccordionContent.displayName = AccordionPrimitive.Content.displayName;
+
+export { Accordion, AccordionContent, AccordionItem, AccordionTrigger };
diff --git a/src/frontend/src/components/ui/dialog-with-no-close.tsx b/src/frontend/src/components/ui/dialog-with-no-close.tsx
new file mode 100644
index 00000000000..262dee67f5a
--- /dev/null
+++ b/src/frontend/src/components/ui/dialog-with-no-close.tsx
@@ -0,0 +1,119 @@
+import * as DialogPrimitive from "@radix-ui/react-dialog";
+import * as React from "react";
+import { cn } from "../../utils/utils";
+
+const Dialog = DialogPrimitive.Root;
+
+const DialogTrigger = DialogPrimitive.Trigger;
+
+const DialogPortal = ({
+  children,
+  ...props
+}: DialogPrimitive.DialogPortalProps) => (
+  <DialogPrimitive.Portal {...props}>
+    <div className="nopan nodelete nodrag noundo nocopy fixed inset-0 z-50 flex items-start justify-center sm:items-center">
+      {children}
+    </div>
+  </DialogPrimitive.Portal>
+);
+DialogPortal.displayName = DialogPrimitive.Portal.displayName;
+
+const DialogOverlay = React.forwardRef<
+  React.ElementRef<typeof DialogPrimitive.Overlay>,
+  React.ComponentPropsWithoutRef<typeof DialogPrimitive.Overlay>
+>(({ className, ...props }, ref) => (
+  <DialogPrimitive.Overlay
+    ref={ref}
+    className={cn(
+      "nopan nodelete nodrag noundo nocopy fixed inset-0 bottom-0 left-0 right-0 top-0 z-50 overflow-auto bg-blur-shared backdrop-blur-sm data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:fade-in-0",
+      className,
+    )}
+    {...props}
+  />
+));
+DialogOverlay.displayName = DialogPrimitive.Overlay.displayName;
+
+const DialogContent = React.forwardRef<
+  React.ElementRef<typeof DialogPrimitive.Content>,
+  React.ComponentPropsWithoutRef<typeof DialogPrimitive.Content>
+>(({ className, children, ...props }, ref) => (
+  <DialogPortal>
+    <DialogOverlay />
+    <DialogPrimitive.Content
+      ref={ref}
+      className={cn(
+        "fixed z-50 flex w-full max-w-lg flex-col gap-4 border bg-background p-6 shadow-lg duration-200 data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:fade-in-0 data-[state=closed]:zoom-out-95 data-[state=open]:zoom-in-95 data-[state=closed]:slide-out-to-left-1/2 data-[state=closed]:slide-out-to-top-[48%] sm:rounded-lg md:w-full",
+        className,
+      )}
+      {...props}
+    >
+      {children}
+    </DialogPrimitive.Content>
+  </DialogPortal>
+));
+DialogContent.displayName = DialogPrimitive.Content.displayName;
+
+const DialogHeader = ({
+  className,
+  ...props
+}: React.HTMLAttributes<HTMLDivElement>) => (
+  <div
+    className={cn(
+      "flex flex-col space-y-1.5 text-center sm:text-left",
+      className,
+    )}
+    {...props}
+  />
+);
+DialogHeader.displayName = "DialogHeader";
+
+const DialogFooter = ({
+  className,
+  ...props
+}: React.HTMLAttributes<HTMLDivElement>) => (
+  <div
+    className={cn(
+      "flex flex-col-reverse sm:flex-row sm:justify-end sm:space-x-2",
+      className,
+    )}
+    {...props}
+  />
+);
+DialogFooter.displayName = "DialogFooter";
+
+const DialogTitle = React.forwardRef<
+  React.ElementRef<typeof DialogPrimitive.Title>,
+  React.ComponentPropsWithoutRef<typeof DialogPrimitive.Title>
+>(({ className, ...props }, ref) => (
+  <DialogPrimitive.Title
+    ref={ref}
+    className={cn(
+      "text-lg font-semibold leading-none tracking-tight",
+      className,
+    )}
+    {...props}
+  />
+));
+DialogTitle.displayName = DialogPrimitive.Title.displayName;
+
+const DialogDescription = React.forwardRef<
+  React.ElementRef<typeof DialogPrimitive.Description>,
+  React.ComponentPropsWithoutRef<typeof DialogPrimitive.Description>
+>(({ className, ...props }, ref) => (
+  <DialogPrimitive.Description
+    ref={ref}
+    className={cn("text-sm text-muted-foreground", className)}
+    {...props}
+  />
+));
+DialogDescription.displayName = DialogPrimitive.Description.displayName;
+
+export {
+  Dialog,
+  DialogContent,
+  DialogDescription,
+  DialogFooter,
+  DialogHeader,
+  DialogTitle,
+  DialogTrigger,
+};
diff --git a/src/frontend/src/components/ui/dialog.tsx b/src/frontend/src/components/ui/dialog.tsx
index 784ad7899a2..915292b98da 100644
--- a/src/frontend/src/components/ui/dialog.tsx
+++ b/src/frontend/src/components/ui/dialog.tsx
@@ -27,7 +27,7 @@ const DialogOverlay = React.forwardRef<
     ref={ref}
     className={cn(
       "nopan nodelete nodrag noundo nocopy fixed inset-0 bottom-0 left-0 right-0 top-0 z-50 overflow-auto bg-blur-shared backdrop-blur-sm data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:fade-in-0",
-      className
+      className,
     )}
     {...props}
   />
@@ -43,8 +43,8 @@ const DialogContent = React.forwardRef<
     <DialogPrimitive.Content
       ref={ref}
       className={cn(
-        "fixed left-[50%] top-[50%] z-50 grid w-full max-w-lg translate-x-[-50%] translate-y-[-50%] gap-4 border bg-background p-6 shadow-lg duration-200 data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:fade-in-0 data-[state=closed]:zoom-out-95 data-[state=open]:zoom-in-95 data-[state=closed]:slide-out-to-left-1/2 data-[state=closed]:slide-out-to-top-[48%] data-[state=open]:slide-in-from-left-1/2 data-[state=open]:slide-in-from-top-[48%] sm:rounded-lg md:w-full",
-        className
+        "fixed z-50 flex w-full max-w-lg flex-col gap-4 border bg-background p-6 shadow-lg duration-200 data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:fade-in-0 data-[state=closed]:zoom-out-95 data-[state=open]:zoom-in-95 data-[state=closed]:slide-out-to-left-1/2 data-[state=closed]:slide-out-to-top-[48%] sm:rounded-lg md:w-full",
+        className,
       )}
       {...props}
     >
@@ -64,8 +64,8 @@ const DialogHeader = ({
 }: React.HTMLAttributes<HTMLDivElement>) => (
   <div
     className={cn(
-      "flex flex-col space-y-1.5 text-center sm:text-left",
-      className
+      "flex flex-col space-y-1 text-center sm:text-left",
+      className,
     )}
     {...props}
   />
@@ -79,7 +79,7 @@ const DialogFooter = ({
   <div
     className={cn(
       "flex flex-col-reverse sm:flex-row sm:justify-end sm:space-x-2",
-      className
+      className,
     )}
     {...props}
   />
@@ -94,7 +94,7 @@ const DialogTitle = React.forwardRef<
     ref={ref}
     className={cn(
       "text-lg font-semibold leading-none tracking-tight",
-      className
+      className,
     )}
     {...props}
   />
diff --git a/src/frontend/src/components/ui/dropdown-menu.tsx b/src/frontend/src/components/ui/dropdown-menu.tsx
index f9a0d87d3f8..2c3cdcd7f51 100644
--- a/src/frontend/src/components/ui/dropdown-menu.tsx
+++ b/src/frontend/src/components/ui/dropdown-menu.tsx
@@ -28,7 +28,7 @@ const DropdownMenuSubTrigger = React.forwardRef<
     className={cn(
       "flex cursor-default select-none items-center rounded-sm px-2 py-1.5 text-sm outline-none focus:bg-accent data-[state=open]:bg-accent",
       inset && "pl-8",
-      className
+      className,
     )}
     {...props}
   >
@@ -47,7 +47,7 @@ const DropdownMenuSubContent = React.forwardRef<
     ref={ref}
     className={cn(
       "z-50 min-w-[8rem] overflow-hidden rounded-md border bg-popover p-1 text-popover-foreground shadow-md animate-in data-[side=bottom]:slide-in-from-top-1 data-[side=left]:slide-in-from-right-1 data-[side=right]:slide-in-from-left-1 data-[side=top]:slide-in-from-bottom-1",
-      className
+      className,
     )}
     {...props}
   />
@@ -65,7 +65,7 @@ const DropdownMenuContent = React.forwardRef<
       sideOffset={sideOffset}
       className={cn(
         "z-50 min-w-[8rem] overflow-hidden rounded-md border bg-popover p-1 text-popover-foreground shadow-md animate-in data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-in-from-left-2 data-[side=top]:slide-in-from-bottom-2",
-        className
+        className,
       )}
       {...props}
     />
@@ -84,7 +84,7 @@ const DropdownMenuItem = React.forwardRef<
     className={cn(
       "relative flex cursor-default select-none items-center rounded-sm px-2 py-1.5 text-sm outline-none transition-colors focus:bg-accent focus:text-accent-foreground data-[disabled]:pointer-events-none data-[disabled]:opacity-50",
       inset && "pl-8",
-      className
+      className,
     )}
     {...props}
   />
@@ -99,7 +99,7 @@ const DropdownMenuCheckboxItem = React.forwardRef<
     ref={ref}
     className={cn(
       "relative flex cursor-default select-none items-center rounded-sm py-1.5 pl-8 pr-2 text-sm outline-none transition-colors focus:bg-accent focus:text-accent-foreground data-[disabled]:pointer-events-none data-[disabled]:opacity-50",
-      className
+      className,
     )}
     checked={checked}
     {...props}
@@ -123,7 +123,7 @@ const DropdownMenuRadioItem = React.forwardRef<
     ref={ref}
     className={cn(
       "relative flex cursor-default select-none items-center rounded-sm py-1.5 pl-8 pr-2 text-sm outline-none transition-colors focus:bg-accent focus:text-accent-foreground data-[disabled]:pointer-events-none data-[disabled]:opacity-50",
-      className
+      className,
     )}
     {...props}
   >
@@ -148,7 +148,7 @@ const DropdownMenuLabel = React.forwardRef<
     className={cn(
       "px-2 py-1.5 pl-2 text-sm font-semibold",
       inset && "pl-8",
-      className
+      className,
     )}
     {...props}
   />
diff --git a/src/frontend/src/components/ui/form.tsx b/src/frontend/src/components/ui/form.tsx
new file mode 100644
index 00000000000..69789b6f32d
--- /dev/null
+++ b/src/frontend/src/components/ui/form.tsx
@@ -0,0 +1,176 @@
+import * as LabelPrimitive from "@radix-ui/react-label";
+import { Slot } from "@radix-ui/react-slot";
+import * as React from "react";
+import {
+  Controller,
+  ControllerProps,
+  FieldPath,
+  FieldValues,
+  FormProvider,
+  useFormContext,
+} from "react-hook-form";
+import { cn } from "../../utils/utils";
+import { Label } from "./label";
+
+const Form = FormProvider;
+
+type FormFieldContextValue<
+  TFieldValues extends FieldValues = FieldValues,
+  TName extends FieldPath<TFieldValues> = FieldPath<TFieldValues>,
+> = {
+  name: TName;
+};
+
+const FormFieldContext = React.createContext<FormFieldContextValue>(
+  {} as FormFieldContextValue,
+);
+
+const FormField = <
+  TFieldValues extends FieldValues = FieldValues,
+  TName extends FieldPath<TFieldValues> = FieldPath<TFieldValues>,
+>({
+  ...props
+}: ControllerProps<TFieldValues, TName>) => {
+  return (
+    <FormFieldContext.Provider value={{ name: props.name }}>
+      <Controller {...props} />
+    </FormFieldContext.Provider>
+  );
+};
+
+const useFormField = () => {
+  const fieldContext = React.useContext(FormFieldContext);
+  const itemContext = React.useContext(FormItemContext);
+  const { getFieldState, formState } = useFormContext();
+
+  const fieldState = getFieldState(fieldContext.name, formState);
+
+  if (!fieldContext) {
+    throw new Error("useFormField should be used within <FormField>");
+  }
+
+  const { id } = itemContext;
+
+  return {
+    id,
+    name: fieldContext.name,
+    formItemId: `${id}-form-item`,
+    formDescriptionId: `${id}-form-item-description`,
+    formMessageId: `${id}-form-item-message`,
+    ...fieldState,
+  };
+};
+
+type FormItemContextValue = {
+  id: string;
+};
+
+const FormItemContext = React.createContext<FormItemContextValue>(
+  {} as FormItemContextValue,
+);
+
+const FormItem = React.forwardRef<
+  HTMLDivElement,
+  React.HTMLAttributes<HTMLDivElement>
+>(({ className, ...props }, ref) => {
+  const id = React.useId();
+
+  return (
+    <FormItemContext.Provider value={{ id }}>
+      <div ref={ref} className={cn("space-y-2", className)} {...props} />
+    </FormItemContext.Provider>
+  );
+});
+FormItem.displayName = "FormItem";
+
+const FormLabel = React.forwardRef<
+  React.ElementRef<typeof LabelPrimitive.Root>,
+  React.ComponentPropsWithoutRef<typeof LabelPrimitive.Root>
+>(({ className, ...props }, ref) => {
+  const { error, formItemId } = useFormField();
+
+  return (
+    <Label
+      ref={ref}
+      className={cn(error && "text-destructive", className)}
+      htmlFor={formItemId}
+      {...props}
+    />
+  );
+});
+FormLabel.displayName = "FormLabel";
+
+const FormControl = React.forwardRef<
+  React.ElementRef<typeof Slot>,
+  React.ComponentPropsWithoutRef<typeof Slot>
+>(({ ...props }, ref) => {
+  const { error, formItemId, formDescriptionId, formMessageId } =
+    useFormField();
+
+  return (
+    <Slot
+      ref={ref}
+      id={formItemId}
+      aria-describedby={
+        !error
+          ? `${formDescriptionId}`
+          : `${formDescriptionId} ${formMessageId}`
+      }
+      aria-invalid={!!error}
+      {...props}
+    />
+  );
+});
+FormControl.displayName = "FormControl";
+
+const FormDescription = React.forwardRef<
+  HTMLParagraphElement,
+  React.HTMLAttributes<HTMLParagraphElement>
+>(({ className, ...props }, ref) => {
+  const { formDescriptionId } = useFormField();
+
+  return (
+    <p
+      ref={ref}
+      id={formDescriptionId}
+      className={cn("text-sm text-muted-foreground", className)}
+      {...props}
+    />
+  );
+});
+FormDescription.displayName = "FormDescription";
+
+const FormMessage = React.forwardRef<
+  HTMLParagraphElement,
+  React.HTMLAttributes<HTMLParagraphElement>
+>(({ className, children, ...props }, ref) => {
+  const { error, formMessageId } = useFormField();
+  const body = error ? String(error?.message) : children;
+
+  if (!body) {
+    return null;
+  }
+
+  return (
+    <p
+      ref={ref}
+      id={formMessageId}
+      className={cn("text-sm font-medium text-destructive", className)}
+      {...props}
+    >
+      {body}
+    </p>
+  );
+});
+FormMessage.displayName = "FormMessage";
+
+export {
+  Form,
+  FormControl,
+  FormDescription,
+  FormField,
+  FormItem,
+  FormLabel,
+  FormMessage,
+  useFormField,
+};
diff --git a/src/frontend/src/components/ui/input.tsx b/src/frontend/src/components/ui/input.tsx
index fa588595ee8..eb0587e00ac 100644
--- a/src/frontend/src/components/ui/input.tsx
+++ b/src/frontend/src/components/ui/input.tsx
@@ -8,16 +8,17 @@ const Input = React.forwardRef<HTMLInputElement, InputProps>(
   ({ className, type, ...props }, ref) => {
     return (
       <input
+        data-testid=""
         type={type}
         className={cn(
           "nopan nodelete nodrag noundo nocopy primary-input",
-          className
+          className,
         )}
         ref={ref}
         {...props}
       />
     );
-  }
+  },
 );
 Input.displayName = "Input";
 
diff --git a/src/frontend/src/components/ui/label.tsx b/src/frontend/src/components/ui/label.tsx
index f8d45c11d33..dab1236ba26 100644
--- a/src/frontend/src/components/ui/label.tsx
+++ b/src/frontend/src/components/ui/label.tsx
@@ -6,7 +6,7 @@ import * as React from "react";
 import { cn } from "../../utils/utils";
 
 const labelVariants = cva(
-  "text-sm font-medium leading-none peer-disabled:cursor-not-allowed peer-disabled:opacity-70"
+  "text-sm font-medium leading-none peer-disabled:cursor-not-allowed peer-disabled:opacity-70",
 );
 
 const Label = React.forwardRef<
diff --git a/src/frontend/src/components/ui/loading.tsx b/src/frontend/src/components/ui/loading.tsx
index 7de6c8a6ab7..2e81bacf93d 100644
--- a/src/frontend/src/components/ui/loading.tsx
+++ b/src/frontend/src/components/ui/loading.tsx
@@ -1,11 +1,15 @@
 import { SVGProps } from "react";
 
+export type LoadingProps = SVGProps<SVGSVGElement> & {
+  size?: number;
+};
+
 // https://github.com/feathericons/feather/issues/695#issuecomment-1503699643
-export const Loading = (props: SVGProps<SVGSVGElement>) => (
+export const Loading = ({ size = 24, ...props }: LoadingProps) => (
   <svg
     xmlns="http://www.w3.org/2000/svg"
-    width={24}
-    height={24}
+    width={size}
+    height={size}
     viewBox="0 0 24 24"
     fill="none"
     stroke="currentColor"
diff --git a/src/frontend/src/components/ui/menubar.tsx b/src/frontend/src/components/ui/menubar.tsx
index 512bb6e6321..e71efe5e9b3 100644
--- a/src/frontend/src/components/ui/menubar.tsx
+++ b/src/frontend/src/components/ui/menubar.tsx
@@ -24,7 +24,7 @@ const Menubar = React.forwardRef<
     ref={ref}
     className={cn(
       "flex h-10 items-center space-x-1 rounded-md border bg-background p-1",
-      className
+      className,
     )}
     {...props}
   />
@@ -39,7 +39,7 @@ const MenubarTrigger = React.forwardRef<
     ref={ref}
     className={cn(
       "flex cursor-default select-none items-center rounded-sm px-3 py-1.5 text-sm font-medium outline-none focus:bg-accent focus:text-accent-foreground data-[state=open]:bg-accent data-[state=open]:text-accent-foreground",
-      className
+      className,
     )}
     {...props}
   />
@@ -57,7 +57,7 @@ const MenubarSubTrigger = React.forwardRef<
     className={cn(
       "flex cursor-default select-none items-center rounded-sm px-2 py-1.5 text-sm outline-none focus:bg-accent focus:text-accent-foreground data-[state=open]:bg-accent data-[state=open]:text-accent-foreground",
       inset && "pl-8",
-      className
+      className,
     )}
     {...props}
   >
@@ -75,7 +75,7 @@ const MenubarSubContent = React.forwardRef<
     ref={ref}
     className={cn(
       "z-50 min-w-[8rem] overflow-hidden rounded-md border bg-popover p-1 text-popover-foreground shadow-md animate-in data-[side=bottom]:slide-in-from-top-1 data-[side=left]:slide-in-from-right-1 data-[side=right]:slide-in-from-left-1 data-[side=top]:slide-in-from-bottom-1",
-      className
+      className,
     )}
     {...props}
   />
@@ -88,7 +88,7 @@ const MenubarContent = React.forwardRef<
 >(
   (
     { className, align = "start", alignOffset = -4, sideOffset = 8, ...props },
-    ref
+    ref,
   ) => (
     <MenubarPrimitive.Portal>
       <MenubarPrimitive.Content
@@ -98,12 +98,12 @@ const MenubarContent = React.forwardRef<
         sideOffset={sideOffset}
         className={cn(
           "z-50 min-w-[12rem] overflow-hidden rounded-md border bg-popover p-1 text-popover-foreground shadow-md animate-in slide-in-from-top-1",
-          className
+          className,
         )}
         {...props}
       />
     </MenubarPrimitive.Portal>
-  )
+  ),
 );
 MenubarContent.displayName = MenubarPrimitive.Content.displayName;
 
@@ -118,7 +118,7 @@ const MenubarItem = React.forwardRef<
     className={cn(
       "relative flex cursor-default select-none items-center rounded-sm px-2 py-1.5 text-sm outline-none focus:bg-accent focus:text-accent-foreground data-[disabled]:pointer-events-none data-[disabled]:opacity-50",
       inset && "pl-8",
-      className
+      className,
     )}
     {...props}
   />
@@ -133,7 +133,7 @@ const MenubarCheckboxItem = React.forwardRef<
     ref={ref}
     className={cn(
       "relative flex cursor-default select-none items-center rounded-sm py-1.5 pl-8 pr-2 text-sm outline-none focus:bg-accent focus:text-accent-foreground data-[disabled]:pointer-events-none data-[disabled]:opacity-50",
-      className
+      className,
     )}
     checked={checked}
     {...props}
@@ -156,7 +156,7 @@ const MenubarRadioItem = React.forwardRef<
     ref={ref}
     className={cn(
       "relative flex cursor-default select-none items-center rounded-sm py-1.5 pl-8 pr-2 text-sm outline-none focus:bg-accent focus:text-accent-foreground data-[disabled]:pointer-events-none data-[disabled]:opacity-50",
-      className
+      className,
     )}
     {...props}
   >
@@ -181,7 +181,7 @@ const MenubarLabel = React.forwardRef<
     className={cn(
       "px-2 py-1.5 text-sm font-semibold",
       inset && "pl-8",
-      className
+      className,
     )}
     {...props}
   />
@@ -208,7 +208,7 @@ const MenubarShortcut = ({
     <span
       className={cn(
         "ml-auto text-xs tracking-widest text-muted-foreground",
-        className
+        className,
       )}
       {...props}
     />
diff --git a/src/frontend/src/components/ui/popover.tsx b/src/frontend/src/components/ui/popover.tsx
index 2a7a6988dc6..380ab7c5be1 100644
--- a/src/frontend/src/components/ui/popover.tsx
+++ b/src/frontend/src/components/ui/popover.tsx
@@ -19,7 +19,7 @@ const PopoverContent = React.forwardRef<
       sideOffset={sideOffset}
       className={cn(
         "z-50 w-72 rounded-md border bg-popover p-4 text-popover-foreground shadow-md outline-none data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:fade-in-0 data-[state=closed]:zoom-out-95 data-[state=open]:zoom-in-95 data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-in-from-left-2 data-[side=top]:slide-in-from-bottom-2",
-        className
+        className,
       )}
       {...props}
     />
@@ -27,4 +27,21 @@ const PopoverContent = React.forwardRef<
 ));
 PopoverContent.displayName = PopoverPrimitive.Content.displayName;
 
-export { Popover, PopoverContent, PopoverTrigger };
+const PopoverContentWithoutPortal = React.forwardRef<
+  React.ElementRef<typeof PopoverPrimitive.Content>,
+  React.ComponentPropsWithoutRef<typeof PopoverPrimitive.Content>
+>(({ className, align = "center", sideOffset = 4, ...props }, ref) => (
+  <PopoverPrimitive.Content
+    ref={ref}
+    align={align}
+    sideOffset={sideOffset}
+    className={cn(
+      "z-50 w-72 rounded-md border bg-popover p-4 text-popover-foreground shadow-md outline-none data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:fade-in-0 data-[state=closed]:zoom-out-95 data-[state=open]:zoom-in-95 data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-in-from-left-2 data-[side=top]:slide-in-from-bottom-2",
+      className,
+    )}
+    {...props}
+  />
+));
+PopoverContentWithoutPortal.displayName = PopoverPrimitive.Content.displayName;
+
+export { Popover, PopoverContent, PopoverContentWithoutPortal, PopoverTrigger };
diff --git a/src/frontend/src/components/ui/progress.tsx b/src/frontend/src/components/ui/progress.tsx
index c2afa8a4c9e..ff55ab76d9d 100644
--- a/src/frontend/src/components/ui/progress.tsx
+++ b/src/frontend/src/components/ui/progress.tsx
@@ -12,7 +12,7 @@ const Progress = React.forwardRef<
     ref={ref}
     className={cn(
       "relative h-4 w-full overflow-hidden rounded-full bg-secondary",
-      className
+      className,
     )}
     {...props}
   >
diff --git a/src/frontend/src/components/ui/refreshButton.tsx b/src/frontend/src/components/ui/refreshButton.tsx
new file mode 100644
index 00000000000..a1bdc18e6ff
--- /dev/null
+++ b/src/frontend/src/components/ui/refreshButton.tsx
@@ -0,0 +1,55 @@
+import IconComponent from "../../components/genericIconComponent";
+import { NodeDataType } from "../../types/flow";
+import { cn } from "../../utils/utils";
+import { Button } from "./button";
+
+function RefreshButton({
+  isLoading,
+  disabled,
+  name,
+  button_text,
+  data,
+  handleUpdateValues,
+  className,
+  id,
+}: {
+  isLoading: boolean;
+  disabled: boolean;
+  name: string;
+  button_text?: string;
+  data: NodeDataType;
+  className?: string;
+  handleUpdateValues: (name: string, data: NodeDataType) => void;
+  id: string;
+}) {
+  const handleClick = async () => {
+    if (disabled) return;
+    handleUpdateValues(name, data);
+  };
+
+  const classNames = cn(className, disabled ? "cursor-not-allowed" : "");
+
+  // icon class name should take into account the disabled state and the loading state
+  const disabledIconTextClass = disabled ? "text-muted-foreground" : "";
+  const iconClassName = cn("h-4 w-4 animate-wiggle", disabledIconTextClass);
+
+  return (
+    <Button
+      variant="primary"
+      disabled={disabled}
+      className={classNames}
+      onClick={handleClick}
+      id={id}
+      loading={isLoading}
+    >
+      {button_text && <span className="mr-1">{button_text}</span>}
+      <IconComponent
+        name={"RefreshCcw"}
+        className={iconClassName}
+        id={id + "-icon"}
+      />
+    </Button>
+  );
+}
+
+export { RefreshButton };
diff --git a/src/frontend/src/components/ui/rename-label.tsx b/src/frontend/src/components/ui/rename-label.tsx
index d9e77f4cf6f..27a21056b87 100644
--- a/src/frontend/src/components/ui/rename-label.tsx
+++ b/src/frontend/src/components/ui/rename-label.tsx
@@ -28,6 +28,9 @@ export default function RenameLabel(props) {
       }
     }
     resizeInput();
+    return () => {
+      if (isRename) document.removeEventListener("keydown", () => {});
+    };
   }, [isRename]);
 
   const inputRef = useRef<HTMLInputElement | null>(null);
@@ -58,7 +61,7 @@ export default function RenameLabel(props) {
           onInput={resizeInput}
           className={cn(
             "nopan nodelete nodrag noundo nocopy rounded-md bg-transparent px-2 outline-ring hover:outline focus:border-none focus:outline active:outline",
-            props.className
+            props.className,
           )}
           onBlur={() => {
             setIsRename(false);
diff --git a/src/frontend/src/components/ui/select-custom.tsx b/src/frontend/src/components/ui/select-custom.tsx
index 5ed2fbd4548..82ba540fe5c 100644
--- a/src/frontend/src/components/ui/select-custom.tsx
+++ b/src/frontend/src/components/ui/select-custom.tsx
@@ -33,10 +33,10 @@ const SelectContent = React.forwardRef<
     <SelectPrimitive.Content
       ref={ref}
       className={cn(
-        "relative z-50 min-w-[8rem] overflow-hidden rounded-md border bg-popover text-popover-foreground shadow-md data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:fade-in-0 data-[state=closed]:zoom-out-95 data-[state=open]:zoom-in-95 data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-in-from-left-2 data-[side=top]:slide-in-from-bottom-2",
+        "relative z-50 min-w-[14rem] overflow-hidden rounded-md border bg-popover text-popover-foreground shadow-md data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:fade-in-0 data-[state=closed]:zoom-out-95 data-[state=open]:zoom-in-95 data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-in-from-left-2 data-[side=top]:slide-in-from-bottom-2",
         position === "popper" &&
           "data-[side=bottom]:translate-y-1 data-[side=left]:-translate-x-1 data-[side=right]:translate-x-1 data-[side=top]:-translate-y-1",
-        className
+        className,
       )}
       position={position}
       {...props}
@@ -45,7 +45,7 @@ const SelectContent = React.forwardRef<
         className={cn(
           "p-1",
           position === "popper" &&
-            "h-[var(--radix-select-trigger-height)] w-full min-w-[var(--radix-select-trigger-width)]"
+            "h-[var(--radix-select-trigger-height)] w-full min-w-[var(--radix-select-trigger-width)]",
         )}
       >
         {children}
@@ -75,7 +75,7 @@ const SelectItem = React.forwardRef<
     ref={ref}
     className={cn(
       "relative flex w-full cursor-pointer select-none items-center rounded-sm py-1.5 pl-3 pr-2 text-sm outline-none focus:bg-accent focus:text-accent-foreground data-[disabled]:pointer-events-none data-[disabled]:opacity-50",
-      className
+      className,
     )}
     {...props}
   >
diff --git a/src/frontend/src/components/ui/select.tsx b/src/frontend/src/components/ui/select.tsx
index 7430a0d468f..812fc875473 100644
--- a/src/frontend/src/components/ui/select.tsx
+++ b/src/frontend/src/components/ui/select.tsx
@@ -19,7 +19,7 @@ const SelectTrigger = React.forwardRef<
     ref={ref}
     className={cn(
       "flex h-8 items-center justify-between rounded-md border border-ring/60 px-4 py-2 text-sm text-primary ring-offset-background placeholder:text-muted-foreground hover:bg-muted focus:outline-none focus:ring-2 focus:ring-ring focus:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-50",
-      className
+      className,
     )}
     {...props}
   >
@@ -42,7 +42,7 @@ const SelectContent = React.forwardRef<
         "relative z-50 min-w-[8rem] overflow-hidden rounded-md border bg-popover text-popover-foreground shadow-md data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:fade-in-0 data-[state=closed]:zoom-out-95 data-[state=open]:zoom-in-95 data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-in-from-left-2 data-[side=top]:slide-in-from-bottom-2",
         position === "popper" &&
           "data-[side=bottom]:translate-y-1 data-[side=left]:-translate-x-1 data-[side=right]:translate-x-1 data-[side=top]:-translate-y-1",
-        className
+        className,
       )}
       position={position}
       {...props}
@@ -51,7 +51,7 @@ const SelectContent = React.forwardRef<
         className={cn(
           "p-1",
           position === "popper" &&
-            "h-[var(--radix-select-trigger-height)] w-full min-w-[var(--radix-select-trigger-width)]"
+            "h-[var(--radix-select-trigger-height)] w-full min-w-[var(--radix-select-trigger-width)]",
         )}
       >
         {children}
@@ -81,7 +81,7 @@ const SelectItem = React.forwardRef<
     ref={ref}
     className={cn(
       "relative flex w-full cursor-default select-none items-center rounded-sm py-1.5 pl-8 pr-8 text-sm outline-none focus:bg-accent focus:text-accent-foreground data-[disabled]:pointer-events-none data-[disabled]:opacity-50",
-      className
+      className,
     )}
     {...props}
   >
diff --git a/src/frontend/src/components/ui/separator.tsx b/src/frontend/src/components/ui/separator.tsx
index 1fec6d2ca9b..8532fc89ea0 100644
--- a/src/frontend/src/components/ui/separator.tsx
+++ b/src/frontend/src/components/ui/separator.tsx
@@ -10,7 +10,7 @@ const Separator = React.forwardRef<
 >(
   (
     { className, orientation = "horizontal", decorative = true, ...props },
-    ref
+    ref,
   ) => (
     <SeparatorPrimitive.Root
       ref={ref}
@@ -19,11 +19,11 @@ const Separator = React.forwardRef<
       className={cn(
         "shrink-0 bg-ring/40",
         orientation === "horizontal" ? "h-[1px] w-full" : "h-full w-[1px]",
-        className
+        className,
       )}
       {...props}
     />
-  )
+  ),
 );
 Separator.displayName = SeparatorPrimitive.Root.displayName;
 
diff --git a/src/frontend/src/components/ui/switch.tsx b/src/frontend/src/components/ui/switch.tsx
index 0d4bc822427..8b89baa50c8 100644
--- a/src/frontend/src/components/ui/switch.tsx
+++ b/src/frontend/src/components/ui/switch.tsx
@@ -11,7 +11,7 @@ const Switch = React.forwardRef<
   <SwitchPrimitives.Root
     className={cn(
       "peer inline-flex h-[24px] w-[44px] shrink-0 cursor-pointer items-center rounded-full border-2 border-transparent transition-colors focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 focus-visible:ring-offset-background disabled:cursor-not-allowed disabled:opacity-50 data-[state=checked]:bg-primary data-[state=unchecked]:bg-ring",
-      className
+      className,
     )}
     {...props}
     ref={ref}
@@ -19,7 +19,7 @@ const Switch = React.forwardRef<
     <SwitchPrimitives.Thumb
       aria-disabled={props.disabled}
       className={cn(
-        "pointer-events-none block h-5 w-5 rounded-full bg-background shadow-lg ring-0 transition-transform aria-disabled:bg-muted/70 data-[state=checked]:translate-x-5 data-[state=unchecked]:translate-x-0"
+        "pointer-events-none block h-5 w-5 rounded-full bg-background shadow-lg ring-0 transition-transform aria-disabled:bg-muted/70 data-[state=checked]:translate-x-5 data-[state=unchecked]:translate-x-0",
       )}
     />
   </SwitchPrimitives.Root>
diff --git a/src/frontend/src/components/ui/table.tsx b/src/frontend/src/components/ui/table.tsx
index eb1e3bda660..cac4b5b706b 100644
--- a/src/frontend/src/components/ui/table.tsx
+++ b/src/frontend/src/components/ui/table.tsx
@@ -55,7 +55,7 @@ const TableRow = React.forwardRef<
     ref={ref}
     className={cn(
       "border-b transition-colors hover:bg-muted/50 data-[state=selected]:bg-muted",
-      className
+      className,
     )}
     {...props}
   />
@@ -70,7 +70,7 @@ const TableHead = React.forwardRef<
     ref={ref}
     className={cn(
       "h-12 px-4 text-left align-middle font-medium text-muted-foreground [&:has([role=checkbox])]:pr-0",
-      className
+      className,
     )}
     {...props}
   />
diff --git a/src/frontend/src/components/ui/tabs.tsx b/src/frontend/src/components/ui/tabs.tsx
index a1f365ba6af..e6eefc5f83b 100644
--- a/src/frontend/src/components/ui/tabs.tsx
+++ b/src/frontend/src/components/ui/tabs.tsx
@@ -14,7 +14,7 @@ const TabsList = React.forwardRef<
     ref={ref}
     className={cn(
       "inline-flex h-10 items-center justify-center rounded-md p-1 text-muted-foreground",
-      className
+      className,
     )}
     {...props}
   />
@@ -29,7 +29,7 @@ const TabsTrigger = React.forwardRef<
     ref={ref}
     className={cn(
       "inline-flex items-center justify-center whitespace-nowrap rounded-sm px-3 py-1.5 text-sm font-medium ring-offset-background transition-all focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:pointer-events-none disabled:opacity-50 data-[state=active]:border data-[state=inactive]:border data-[state=inactive]:border-muted data-[state=active]:bg-background data-[state=active]:text-foreground data-[state=active]:shadow-sm data-[state=inactive]:hover:bg-secondary/80",
-      className
+      className,
     )}
     {...props}
   />
@@ -44,7 +44,7 @@ const TabsContent = React.forwardRef<
     ref={ref}
     className={cn(
       "mt-2 ring-offset-background focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2",
-      className
+      className,
     )}
     {...props}
   />
diff --git a/src/frontend/src/components/ui/textarea.tsx b/src/frontend/src/components/ui/textarea.tsx
index 1f297054526..c18d57cfc11 100644
--- a/src/frontend/src/components/ui/textarea.tsx
+++ b/src/frontend/src/components/ui/textarea.tsx
@@ -10,13 +10,13 @@ const Textarea = React.forwardRef<HTMLTextAreaElement, TextareaProps>(
       <textarea
         className={cn(
           "nopan nodelete nodrag noundo nocopy textarea-primary",
-          className
+          className,
         )}
         ref={ref}
         {...props}
       />
     );
-  }
+  },
 );
 Textarea.displayName = "Textarea";
 
diff --git a/src/frontend/src/components/ui/toggle.tsx b/src/frontend/src/components/ui/toggle.tsx
new file mode 100644
index 00000000000..f41840dce20
--- /dev/null
+++ b/src/frontend/src/components/ui/toggle.tsx
@@ -0,0 +1,45 @@
+"use client";
+
+import * as TogglePrimitive from "@radix-ui/react-toggle";
+import { cva, type VariantProps } from "class-variance-authority";
+import * as React from "react";
+
+import { cn } from "../../utils/utils";
+
+const toggleVariants = cva(
+  "inline-flex items-center justify-center rounded-md text-sm font-medium ring-offset-background transition-colors hover:bg-muted hover:text-muted-foreground focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:pointer-events-none disabled:opacity-50",
+  {
+    variants: {
+      variant: {
+        default: "bg-transparent",
+        outline:
+          "border border-input bg-transparent hover:bg-accent hover:text-accent-foreground",
+      },
+      size: {
+        default: "h-10 px-3",
+        sm: "h-9 px-2.5",
+        lg: "h-11 px-5",
+      },
+    },
+    defaultVariants: {
+      variant: "default",
+      size: "default",
+    },
+  },
+);
+
+const Toggle = React.forwardRef<
+  React.ElementRef<typeof TogglePrimitive.Root>,
+  React.ComponentPropsWithoutRef<typeof TogglePrimitive.Root> &
+    VariantProps<typeof toggleVariants>
+>(({ className, variant, size, ...props }, ref) => (
+  <TogglePrimitive.Root
+    ref={ref}
+    className={cn(toggleVariants({ variant, size, className }))}
+    {...props}
+  />
+));
+
+Toggle.displayName = TogglePrimitive.Root.displayName;
+
+export { Toggle, toggleVariants };
diff --git a/src/frontend/src/components/ui/tooltip.tsx b/src/frontend/src/components/ui/tooltip.tsx
index 4120219ec1e..3ee8b9c7a8d 100644
--- a/src/frontend/src/components/ui/tooltip.tsx
+++ b/src/frontend/src/components/ui/tooltip.tsx
@@ -20,7 +20,7 @@ const TooltipContent = React.forwardRef<
       sideOffset={sideOffset}
       className={cn(
         "z-45 overflow-y-auto rounded-md border bg-popover px-3 py-1.5 text-sm text-popover-foreground shadow-md animate-in fade-in-50 data-[side=bottom]:slide-in-from-top-1 data-[side=left]:slide-in-from-right-1 data-[side=right]:slide-in-from-left-1 data-[side=top]:slide-in-from-bottom-1",
-        className
+        className,
       )}
       {...props}
     />
@@ -28,4 +28,26 @@ const TooltipContent = React.forwardRef<
 ));
 TooltipContent.displayName = TooltipPrimitive.Content.displayName;
 
-export { Tooltip, TooltipContent, TooltipProvider, TooltipTrigger };
+const TooltipContentWithoutPortal = React.forwardRef<
+  React.ElementRef<typeof TooltipPrimitive.Content>,
+  React.ComponentPropsWithoutRef<typeof TooltipPrimitive.Content>
+>(({ className, sideOffset = 4, ...props }, ref) => (
+  <TooltipPrimitive.Content
+    ref={ref}
+    sideOffset={sideOffset}
+    className={cn(
+      "z-45 overflow-y-auto rounded-md border bg-popover px-3 py-1.5 text-sm text-popover-foreground shadow-md animate-in fade-in-50 data-[side=bottom]:slide-in-from-top-1 data-[side=left]:slide-in-from-right-1 data-[side=right]:slide-in-from-left-1 data-[side=top]:slide-in-from-bottom-1",
+      className,
+    )}
+    {...props}
+  />
+));
+TooltipContentWithoutPortal.displayName = TooltipPrimitive.Content.displayName;
+
+export {
+  Tooltip,
+  TooltipContent,
+  TooltipContentWithoutPortal,
+  TooltipProvider,
+  TooltipTrigger,
+};
diff --git a/src/frontend/src/components/ui/xmark.tsx b/src/frontend/src/components/ui/xmark.tsx
new file mode 100644
index 00000000000..b6b595f0c61
--- /dev/null
+++ b/src/frontend/src/components/ui/xmark.tsx
@@ -0,0 +1,45 @@
+import { AnimatePresence, motion } from "framer-motion";
+export default function Xmark({ initial = true, isVisible, className }) {
+  return (
+    <AnimatePresence initial={initial}>
+      {isVisible && (
+        <svg
+          xmlns="http://www.w3.org/2000/svg"
+          fill="none"
+          viewBox="0 0 24 24"
+          strokeWidth={1.5}
+          stroke="currentColor"
+          className={"CheckIcon " + className}
+        >
+          <motion.path
+            initial={{ pathLength: 0, pathOffset: 1, strokeLinecap: "butt" }}
+            animate={{ pathLength: 1, pathOffset: 0, strokeLinecap: "round" }}
+            exit={{ pathLength: 0, pathOffset: 1, strokeLinecap: "butt" }}
+            transition={{
+              type: "tween",
+              duration: 0.3,
+              ease: isVisible ? "easeOut" : "easeIn",
+              delay: 0.2,
+            }}
+            strokeLinecap="round"
+            strokeLinejoin="round"
+            d="M18 6 6 18"
+          />
+          <motion.path
+            initial={{ pathLength: 0 }}
+            animate={{ pathLength: 1 }}
+            exit={{ pathLength: 0 }}
+            transition={{
+              type: "tween",
+              duration: 0.3,
+              ease: isVisible ? "easeOut" : "easeIn",
+            }}
+            strokeLinecap="round"
+            strokeLinejoin="round"
+            d="m6 6 12 12"
+          />
+        </svg>
+      )}
+    </AnimatePresence>
+  );
+}
diff --git a/src/frontend/src/components/viewTriggers/chat/index.tsx b/src/frontend/src/components/viewTriggers/chat/index.tsx
new file mode 100644
index 00000000000..9610f22ff70
--- /dev/null
+++ b/src/frontend/src/components/viewTriggers/chat/index.tsx
@@ -0,0 +1,31 @@
+import { Transition } from "@headlessui/react";
+
+import IconComponent from "../../genericIconComponent";
+
+export default function ChatTrigger({}): JSX.Element {
+  return (
+    <Transition
+      show={true}
+      appear={true}
+      enter="transition ease-out duration-300"
+      enterFrom="translate-y-96"
+      enterTo="translate-y-0"
+      leave="transition ease-in duration-300"
+      leaveFrom="translate-y-0"
+      leaveTo="translate-y-96"
+    >
+      <button
+        className={
+          "shadow-round-btn-shadow hover:shadow-round-btn-shadow message-button cursor-pointer"
+        }
+      >
+        <div className="flex gap-3">
+          <IconComponent
+            name="Zap"
+            className={"message-button-icon h-6 w-6 transition-all"}
+          />
+        </div>
+      </button>
+    </Transition>
+  );
+}
diff --git a/src/frontend/src/constants/alerts_constants.tsx b/src/frontend/src/constants/alerts_constants.tsx
new file mode 100644
index 00000000000..c6dfa035b92
--- /dev/null
+++ b/src/frontend/src/constants/alerts_constants.tsx
@@ -0,0 +1,64 @@
+// ERROR
+export const MISSED_ERROR_ALERT = "Oops! Looks like you missed something";
+export const INVALID_FILE_ALERT =
+  "Please select a valid file. Only these file types are allowed:";
+export const CONSOLE_ERROR_MSG = "Error occurred while uploading file";
+export const CONSOLE_SUCCESS_MSG = "File uploaded successfully";
+export const INFO_MISSING_ALERT =
+  "Oops! Looks like you missed some required information:";
+export const FUNC_ERROR_ALERT = "There is an error in your function";
+export const IMPORT_ERROR_ALERT = "There is an error in your imports";
+export const BUG_ALERT = "Something went wrong, please try again";
+export const CODE_ERROR_ALERT =
+  "There is something wrong with this code, please review it";
+export const CHAT_ERROR_ALERT =
+  "Please build the flow again before using the chat.";
+export const MSG_ERROR_ALERT = "There was an error sending the message";
+export const PROMPT_ERROR_ALERT =
+  "There is something wrong with this prompt, please review it";
+export const API_ERROR_ALERT =
+  "There was an error saving the API Key, please try again.";
+export const USER_DEL_ERROR_ALERT = "Error on delete user";
+export const USER_EDIT_ERROR_ALERT = "Error on edit user";
+export const USER_ADD_ERROR_ALERT = "Error when adding new user";
+export const SIGNIN_ERROR_ALERT = "Error signing in";
+export const DEL_KEY_ERROR_ALERT = "Error on delete key";
+export const DEL_KEY_ERROR_ALERT_PLURAL = "Error on delete keys";
+export const UPLOAD_ERROR_ALERT = "Error uploading file";
+export const WRONG_FILE_ERROR_ALERT = "Invalid file type";
+export const UPLOAD_ALERT_LIST = "Please upload a JSON file";
+export const INVALID_SELECTION_ERROR_ALERT = "Invalid selection";
+export const EDIT_PASSWORD_ERROR_ALERT = "Error changing password";
+export const EDIT_PASSWORD_ALERT_LIST = "Passwords do not match";
+export const SAVE_ERROR_ALERT = "Error saving changes";
+export const PROFILE_PICTURES_GET_ERROR_ALERT =
+  "Error retrieving profile pictures";
+export const SIGNUP_ERROR_ALERT = "Error signing up";
+export const APIKEY_ERROR_ALERT = "API Key Error";
+export const NOAPI_ERROR_ALERT =
+  "You don't have an API Key. Please add one to use the Langflow Store.";
+export const INVALID_API_ERROR_ALERT =
+  "Your API Key is not valid. Please add a valid API Key to use the Langflow Store.";
+export const COMPONENTS_ERROR_ALERT = "Error getting components.";
+
+// NOTICE
+export const NOCHATOUTPUT_NOTICE_ALERT =
+  "There is no ChatOutput Component in the flow.";
+export const API_WARNING_NOTICE_ALERT =
+  "Warning: Critical data, JSON file may include API keys.";
+export const COPIED_NOTICE_ALERT = "API Key copied!";
+export const TEMP_NOTICE_ALERT = "Your template does not have any variables.";
+
+// SUCCESS
+export const CODE_SUCCESS_ALERT = "Code is ready to run";
+export const PROMPT_SUCCESS_ALERT = "Prompt is ready";
+export const API_SUCCESS_ALERT = "Success! Your API Key has been saved.";
+export const USER_DEL_SUCCESS_ALERT = "Success! User deleted!";
+export const USER_EDIT_SUCCESS_ALERT = "Success! User edited!";
+export const USER_ADD_SUCCESS_ALERT = "Success! New user added!";
+export const DEL_KEY_SUCCESS_ALERT = "Success! Key deleted!";
+export const DEL_KEY_SUCCESS_ALERT_PLURAL = "Success! Keys deleted!";
+export const FLOW_BUILD_SUCCESS_ALERT = `Flow built successfully`;
+export const SAVE_SUCCESS_ALERT = "Changes saved successfully!";
+
+// Generic Node
diff --git a/src/frontend/src/constants/constants.ts b/src/frontend/src/constants/constants.ts
index f1026fec2c9..f963d72349e 100644
--- a/src/frontend/src/constants/constants.ts
+++ b/src/frontend/src/constants/constants.ts
@@ -25,10 +25,18 @@ export const INVALID_CHARACTERS = [
 
 /**
  * regex to highlight the variables in the text
- * @constant
+ * @constant regexHighlight
+ * @type {RegExp}
+ * @default
+ * @example
+ * {{variable}} or {variable}
+ * @returns {RegExp}
+ * @description
+ * This regex is used to highlight the variables in the text.
+ * It matches the variables in the text that are between {{}} or {}.
  */
 
-export const regexHighlight = /\{([^}]+)\}/g;
+export const regexHighlight = /\{\{(.*?)\}\}|\{([^{}]+)\}/g;
 export const specialCharsRegex = /[!@#$%^&*()\-_=+[\]{}|;:'",.<>/?\\`´]/;
 
 export const programmingLanguages: languageMap = {
@@ -63,6 +71,16 @@ export const programmingLanguages: languageMap = {
  */
 export const MAX_LENGTH_TO_SCROLL_TOOLTIP = 200;
 
+export const MESSAGES_TABLE_ORDER = [
+  "timestamp",
+  "message",
+  "text",
+  "sender",
+  "sender_name",
+  "session_id",
+  "files",
+];
+
 /**
  * Number maximum of components to scroll on tooltips
  * @constant
@@ -80,50 +98,57 @@ export const limitScrollFieldsModal = 10;
  * @constant
  */
 export const EXPORT_DIALOG_SUBTITLE = "Export flow as JSON file.";
-
 /**
  * The base text for subtitle of Flow Settings (Menubar)
  * @constant
  */
-export const SETTINGS_DIALOG_SUBTITLE = "Edit details about your project.";
+export const SETTINGS_DIALOG_SUBTITLE =
+  "Customize workspace settings and preferences.";
+
+/**
+ * The base text for subtitle of Flow Logs (Menubar)
+ * @constant
+ */
+export const LOGS_DIALOG_SUBTITLE =
+  "Explore detailed logs of events and transactions between components.";
 
 /**
  * The base text for subtitle of Code Dialog (Toolbar)
  * @constant
  */
 export const CODE_DIALOG_SUBTITLE =
-  "Export your flow to use it with this code.";
+  "Export your flow to integrate it using this code.";
 
 /**
  * The base text for subtitle of Chat Form
  * @constant
  */
 export const CHAT_FORM_DIALOG_SUBTITLE =
-  "Set up the input variables defined in prompt templates. Interact with agents and chains.";
+  "Interact with your AI. Monitor inputs, outputs and memories.";
 
 /**
  * The base text for subtitle of Edit Node Dialog
  * @constant
  */
 export const EDIT_DIALOG_SUBTITLE =
-  "Adjust the configurations of your component. Define parameter visibility for the canvas view. Remember to save once you’re finished.";
+  "Adjust component's settings and define parameter visibility. Remember to save your changes.";
 
 /**
  * The base text for subtitle of Code Dialog
  * @constant
  */
 export const CODE_PROMPT_DIALOG_SUBTITLE =
-  "Edit your Python code. This code snippet accepts module import and a single function definition. Make sure that your function returns a string.";
+  "Edit your Python code snippet. Refer to the Langflow documentation for more information on how to write your own component.";
 
 export const CODE_DICT_DIALOG_SUBTITLE =
-  "Edit your dictionary. This dialog allows you to create your own customized dictionary. You can add as many key-value pairs as you want. While in edit mode, you can enter ({}) or ([]), and this will result in adding a new object or array.";
+  "Customize your dictionary, adding or editing key-value pairs as needed. Supports adding new objects {} or arrays [].";
 
 /**
  * The base text for subtitle of Prompt Dialog
  * @constant
  */
 export const PROMPT_DIALOG_SUBTITLE =
-  "Create your prompt. Prompts can help guide the behavior of a Language Model.";
+  "Create your prompt. Prompts can help guide the behavior of a Language Model. Use curly brackets {} to introduce variables.";
 
 export const CHAT_CANNOT_OPEN_TITLE = "Chat Cannot Open";
 
@@ -138,14 +163,14 @@ export const FLOW_NOT_BUILT_DESCRIPTION =
  * The base text for subtitle of Text Dialog
  * @constant
  */
-export const TEXT_DIALOG_SUBTITLE = "Edit your text.";
+export const TEXT_DIALOG_SUBTITLE = "Edit text content.";
 
 /**
  * The base text for subtitle of Import Dialog
  * @constant
  */
 export const IMPORT_DIALOG_SUBTITLE =
-  "Upload a JSON file or select from the available community examples.";
+  "Import flows from a JSON file or choose from pre-existing examples.";
 
 /**
  * The text that shows when a tooltip is empty
@@ -153,6 +178,29 @@ export const IMPORT_DIALOG_SUBTITLE =
  */
 export const TOOLTIP_EMPTY = "No compatible components found.";
 
+export const CSVViewErrorTitle = "CSV output";
+
+export const CSVNoDataError = "No data available";
+
+export const PDFViewConstant = "Expand the ouptut to see the PDF";
+
+export const CSVError = "Error loading CSV";
+
+export const PDFLoadErrorTitle = "Error loading PDF";
+
+export const PDFCheckFlow = "Please check your flow and try again";
+
+export const PDFErrorTitle = "PDF Output";
+
+export const PDFLoadError = "Run the flow to see the pdf";
+
+export const IMGViewConstant = "Expand the view to see the image";
+
+export const IMGViewErrorMSG =
+  "Run the flow or inform a valid url to see your image";
+
+export const IMGViewErrorTitle = "Image output";
+
 /**
  * The base text for subtitle of code dialog
  * @constant
@@ -502,6 +550,8 @@ export const NOUNS: string[] = [
  */
 export const USER_PROJECTS_HEADER = "My Collection";
 
+export const DEFAULT_FOLDER = "My Projects";
+
 /**
  * Header text for admin page
  * @constant
@@ -519,6 +569,8 @@ export const ADMIN_HEADER_DESCRIPTION =
 
 export const BASE_URL_API = "/api/v1/";
 
+export const BACKEND_URL = process.env.BACKEND_URL || "http://localhost:7860/";
+
 /**
  * URLs excluded from error retries.
  * @constant
@@ -549,7 +601,8 @@ export const CONTROL_INPUT_STATE = {
 export const CONTROL_PATCH_USER_STATE = {
   password: "",
   cnfPassword: "",
-  gradient: "",
+  profilePicture: "",
+  apikey: "",
 };
 
 export const CONTROL_LOGIN_STATE = {
@@ -566,95 +619,14 @@ export const CONTROL_NEW_USER = {
 
 export const tabsCode = [];
 
-export function tabsArray(codes: string[], method: number) {
-  if (!method) return;
-  if (method === 0) {
-    return [
-      {
-        name: "cURL",
-        mode: "bash",
-        image: "https://curl.se/logo/curl-symbol-transparent.png",
-        language: "sh",
-        code: codes[0],
-      },
-      {
-        name: "Python API",
-        mode: "python",
-        image:
-          "https://images.squarespace-cdn.com/content/v1/5df3d8c5d2be5962e4f87890/1628015119369-OY4TV3XJJ53ECO0W2OLQ/Python+API+Training+Logo.png?format=1000w",
-        language: "py",
-        code: codes[1],
-      },
-      {
-        name: "Python Code",
-        mode: "python",
-        image: "https://cdn-icons-png.flaticon.com/512/5968/5968350.png",
-        language: "py",
-        code: codes[2],
-      },
-      {
-        name: "Chat Widget HTML",
-        description:
-          "Insert this code anywhere in your &lt;body&gt; tag. To use with react and other libs, check our <a class='link-color' href='https://langflow.org/guidelines/widget'>documentation</a>.",
-        mode: "html",
-        image: "https://cdn-icons-png.flaticon.com/512/5968/5968350.png",
-        language: "py",
-        code: codes[3],
-      },
-    ];
-  }
-  return [
-    {
-      name: "cURL",
-      mode: "bash",
-      image: "https://curl.se/logo/curl-symbol-transparent.png",
-      language: "sh",
-      code: codes[0],
-    },
-    {
-      name: "Python API",
-      mode: "python",
-      image:
-        "https://images.squarespace-cdn.com/content/v1/5df3d8c5d2be5962e4f87890/1628015119369-OY4TV3XJJ53ECO0W2OLQ/Python+API+Training+Logo.png?format=1000w",
-      language: "py",
-      code: codes[1],
-    },
-    {
-      name: "Python Code",
-      mode: "python",
-      language: "py",
-      image: "https://cdn-icons-png.flaticon.com/512/5968/5968350.png",
-      code: codes[2],
-    },
-    {
-      name: "Chat Widget HTML",
-      description:
-        "Insert this code anywhere in your &lt;body&gt; tag. To use with react and other libs, check our <a class='link-color' href='https://langflow.org/guidelines/widget'>documentation</a>.",
-      mode: "html",
-      image: "https://cdn-icons-png.flaticon.com/512/5968/5968350.png",
-      language: "py",
-      code: codes[3],
-    },
-    {
-      name: "Tweaks",
-      mode: "python",
-      image: "https://cdn-icons-png.flaticon.com/512/5968/5968350.png",
-      language: "py",
-      code: codes[4],
-    },
-  ];
-}
 export const FETCH_ERROR_MESSAGE = "Couldn't establish a connection.";
 export const FETCH_ERROR_DESCRIPION =
   "Check if everything is working properly and try again.";
 
 export const SIGN_UP_SUCCESS = "Account created! Await admin activation. ";
 
-export const API_PAGE_PARAGRAPH_1 =
-  "Your secret API keys are listed below. Please note that we do not display your secret API keys again after you generate them.";
-
-export const API_PAGE_PARAGRAPH_2 =
-  "Do not share your API key with others, or expose it in the browser or other client-side code.";
+export const API_PAGE_PARAGRAPH =
+  "Your secret API keys are listed below. Do not share your API key with others, or expose it in the browser or other client-side code.";
 
 export const API_PAGE_USER_KEYS =
   "This user does not have any keys assigned at the moment.";
@@ -677,3 +649,217 @@ export const LANGFLOW_SUPPORTED_TYPES = new Set([
 ]);
 
 export const priorityFields = new Set(["code", "template"]);
+
+export const INPUT_TYPES = new Set([
+  "ChatInput",
+  "TextInput",
+  "KeyPairInput",
+  "JsonInput",
+  "StringListInput",
+]);
+export const OUTPUT_TYPES = new Set([
+  "ChatOutput",
+  "TextOutput",
+  "PDFOutput",
+  "ImageOutput",
+  "CSVOutput",
+  "JsonOutput",
+  "KeyPairOutput",
+  "StringListOutput",
+  "DataOutput",
+  "TableOutput",
+]);
+
+export const CHAT_FIRST_INITIAL_TEXT =
+  "Start a conversation and click the agent's memories";
+
+export const TOOLTIP_OUTDATED_NODE =
+  "Your component is outdated. Click to update (data may be lost)";
+
+export const CHAT_SECOND_INITIAL_TEXT = "to inspect previous messages.";
+
+export const ZERO_NOTIFICATIONS = "No new notifications";
+
+export const SUCCESS_BUILD = "Built sucessfully ✨";
+
+export const ALERT_SAVE_WITH_API =
+  "Caution: Unchecking this box only removes API keys from fields specifically designated for API keys.";
+
+export const SAVE_WITH_API_CHECKBOX = "Save with my API keys";
+export const EDIT_TEXT_MODAL_TITLE = "Edit Text";
+export const EDIT_TEXT_PLACEHOLDER = "Type message here.";
+export const INPUT_HANDLER_HOVER = "Avaliable input components:";
+export const OUTPUT_HANDLER_HOVER = "Avaliable output components:";
+export const TEXT_INPUT_MODAL_TITLE = "Inputs";
+export const OUTPUTS_MODAL_TITLE = "Outputs";
+export const LANGFLOW_CHAT_TITLE = "Langflow Chat";
+export const CHAT_INPUT_PLACEHOLDER =
+  "No chat input variables found. Click to run your flow.";
+export const CHAT_INPUT_PLACEHOLDER_SEND = "Send a message...";
+export const EDIT_CODE_TITLE = "Edit Code";
+export const MY_COLLECTION_DESC =
+  "Manage your personal projects. Download and upload entire collections.";
+export const STORE_DESC = "Explore community-shared flows and components.";
+export const STORE_TITLE = "Langflow Store";
+export const NO_API_KEY = "You don't have an API key.";
+export const INSERT_API_KEY = "Insert your Langflow API key.";
+export const INVALID_API_KEY = "Your API key is not valid. ";
+export const CREATE_API_KEY = `Don’t have an API key? Sign up at`;
+export const STATUS_BUILD = "Build to validate status.";
+export const STATUS_INACTIVE = "Execution blocked";
+export const STATUS_BUILDING = "Building...";
+export const SAVED_HOVER = "Last saved at ";
+export const RUN_TIMESTAMP_PREFIX = "Last Run: ";
+export const STARTER_FOLDER_NAME = "Starter Projects";
+export const PRIORITY_SIDEBAR_ORDER = [
+  "saved_components",
+  "inputs",
+  "outputs",
+  "prompts",
+  "data",
+  "prompt",
+  "models",
+  "helpers",
+  "vectorstores",
+  "vectorsearch",
+  "embeddings",
+];
+export const NATIVE_CATEGORIES = [
+  "inputs",
+  "outputs",
+  "prompts",
+  "data",
+  "prompt",
+  "models",
+  "helpers",
+  "experimental",
+  "agents",
+];
+
+export const AUTHORIZED_DUPLICATE_REQUESTS = [
+  "/health",
+  "/flows",
+  "/logout",
+  "/refresh",
+  "/login",
+  "/auto_login",
+];
+
+export const SAVE_DEBOUNCE_TIME = 300;
+
+export const IS_MAC = navigator.userAgent.toUpperCase().includes("MAC");
+
+export const defaultShortcuts = [
+  {
+    name: "Advanced Settings",
+    shortcut: `${IS_MAC ? "Cmd" : "Ctrl"} + Shift + A`,
+  },
+  {
+    name: "Minimize",
+    shortcut: `${IS_MAC ? "Cmd" : "Ctrl"} + Q`,
+  },
+  {
+    name: "Code",
+    shortcut: `Space`,
+  },
+  {
+    name: "Copy",
+    shortcut: `${IS_MAC ? "Cmd" : "Ctrl"} + C`,
+  },
+  {
+    name: "Duplicate",
+    shortcut: `${IS_MAC ? "Cmd" : "Ctrl"} + D`,
+  },
+  {
+    name: "Component Share",
+    shortcut: `${IS_MAC ? "Cmd" : "Ctrl"} + Shift + S`,
+  },
+  {
+    name: "Docs",
+    shortcut: `${IS_MAC ? "Cmd" : "Ctrl"} + Shift + D`,
+  },
+  {
+    name: "Save",
+    shortcut: `${IS_MAC ? "Cmd" : "Ctrl"} + S`,
+  },
+  {
+    name: "Delete",
+    shortcut: "Backspace",
+  },
+  {
+    name: "Open playground",
+    shortcut: `${IS_MAC ? "Cmd" : "Ctrl"} + K`,
+  },
+  {
+    name: "Undo",
+    shortcut: `${IS_MAC ? "Cmd" : "Ctrl"} + Z`,
+  },
+  {
+    name: "Redo",
+    shortcut: `${IS_MAC ? "Cmd" : "Ctrl"} + Y`,
+  },
+  {
+    name: "Group",
+    shortcut: `${IS_MAC ? "Cmd" : "Ctrl"} + G`,
+  },
+  {
+    name: "Cut",
+    shortcut: `${IS_MAC ? "Cmd" : "Ctrl"} + X`,
+  },
+  {
+    name: "Paste",
+    shortcut: `${IS_MAC ? "Cmd" : "Ctrl"} + V`,
+  },
+  {
+    name: "API",
+    shortcut: `R`,
+  },
+  {
+    name: "Download",
+    shortcut: `${IS_MAC ? "Cmd" : "Ctrl"} + J`,
+  },
+  {
+    name: "Update",
+    shortcut: `${IS_MAC ? "Cmd" : "Ctrl"} + U`,
+  },
+  {
+    name: "Freeze",
+    shortcut: `${IS_MAC ? "Cmd" : "Ctrl"} + F`,
+  },
+  {
+    name: "Flow Share",
+    shortcut: `${IS_MAC ? "Cmd" : "Ctrl"} + B`,
+  },
+  {
+    name: "Play",
+    shortcut: `P`,
+  },
+  {
+    name: "Output Inspection",
+    shortcut: `O`,
+  },
+];
+
+export const DEFAULT_TABLE_ALERT_MSG = `Oops! It seems there's no data to display right now. Please check back later.`;
+
+export const DEFAULT_TABLE_ALERT_TITLE = "No Data Available";
+
+export const LOCATIONS_TO_RETURN = ["/flow/", "/settings/"];
+
+export const MAX_BATCH_SIZE = 50;
+
+export const MODAL_CLASSES =
+  "nopan nodelete nodrag noundo nocopy fixed inset-0 bottom-0 left-0 right-0 top-0 z-50 overflow-auto bg-blur-shared backdrop-blur-sm data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:fade-in-0";
+
+export const ALLOWED_IMAGE_INPUT_EXTENSIONS = ["png", "jpg", "jpeg"];
+
+export const FS_ERROR_TEXT =
+  "Please ensure your file has one of the following extensions:";
+export const SN_ERROR_TEXT = ALLOWED_IMAGE_INPUT_EXTENSIONS.join(", ");
+
+export const ERROR_UPDATING_COMPONENT =
+  "An unexpected error occurred while updating the Component. Please try again.";
+export const TITLE_ERROR_UPDATING_COMPONENT =
+  "Error while updating the Component";
+
+export const EMPTY_INPUT_SEND_MESSAGE = "No input message provided.";
diff --git a/src/frontend/src/constants/enums.ts b/src/frontend/src/constants/enums.ts
index a7bed8fde17..2573b5194ea 100644
--- a/src/frontend/src/constants/enums.ts
+++ b/src/frontend/src/constants/enums.ts
@@ -6,3 +6,16 @@ export enum TypeModal {
   TEXT = 1,
   PROMPT = 2,
 }
+
+export enum BuildStatus {
+  BUILDING = "BUILDING",
+  TO_BUILD = "TO_BUILD",
+  BUILT = "BUILT",
+  INACTIVE = "INACTIVE",
+  ERROR = "ERROR",
+}
+
+export enum InputOutput {
+  INPUT = "input",
+  OUTPUT = "output",
+}
diff --git a/src/frontend/src/contexts/authContext.tsx b/src/frontend/src/contexts/authContext.tsx
index f0c8ec1d61e..bd5c2d02c45 100644
--- a/src/frontend/src/contexts/authContext.tsx
+++ b/src/frontend/src/contexts/authContext.tsx
@@ -1,13 +1,9 @@
 import { createContext, useEffect, useState } from "react";
 import { useNavigate } from "react-router-dom";
 import Cookies from "universal-cookie";
-import {
-  autoLogin as autoLoginApi,
-  getLoggedUser,
-  requestLogout,
-} from "../controllers/API";
+import { getLoggedUser, requestLogout } from "../controllers/API";
 import useAlertStore from "../stores/alertStore";
-import useFlowsManagerStore from "../stores/flowsManagerStore";
+import { useFolderStore } from "../stores/foldersStore";
 import { Users } from "../types/api";
 import { AuthContextType } from "../types/contexts/auth";
 
@@ -26,6 +22,7 @@ const initialValue: AuthContextType = {
   setApiKey: () => {},
   apiKey: null,
   storeApiKey: () => {},
+  getUser: () => {},
 };
 
 export const AuthContext = createContext<AuthContextType>(initialValue);
@@ -34,19 +31,21 @@ export function AuthProvider({ children }): React.ReactElement {
   const navigate = useNavigate();
   const cookies = new Cookies();
   const [accessToken, setAccessToken] = useState<string | null>(
-    cookies.get("access_token_lf") ?? null
+    cookies.get("access_token_lf") ?? null,
   );
   const [isAuthenticated, setIsAuthenticated] = useState<boolean>(
-    !!cookies.get("access_token_lf")
+    !!cookies.get("access_token_lf"),
   );
   const [isAdmin, setIsAdmin] = useState<boolean>(false);
   const [userData, setUserData] = useState<Users | null>(null);
   const [autoLogin, setAutoLogin] = useState<boolean>(false);
   const setLoading = useAlertStore((state) => state.setLoading);
   const [apiKey, setApiKey] = useState<string | null>(
-    cookies.get("apikey_tkn_lflw")
+    cookies.get("apikey_tkn_lflw"),
   );
 
+  const getFoldersApi = useFolderStore((state) => state.getFoldersApi);
+
   useEffect(() => {
     const storedAccessToken = cookies.get("access_token_lf");
     if (storedAccessToken) {
@@ -61,40 +60,16 @@ export function AuthProvider({ children }): React.ReactElement {
     }
   }, []);
 
-  useEffect(() => {
-    const isLoginPage = location.pathname.includes("login");
-
-    autoLoginApi()
-      .then((user) => {
-        if (user && user["access_token"]) {
-          user["refresh_token"] = "auto";
-          login(user["access_token"]);
-          setUserData(user);
-          setAutoLogin(true);
-          setLoading(false);
-        }
-      })
-      .catch((error) => {
-        setAutoLogin(false);
-        if (isAuthenticated && !isLoginPage) {
-          getUser();
-        } else {
-          setLoading(false);
-          useFlowsManagerStore.setState({ isLoading: false });
-        }
-      });
-  }, [setUserData, setLoading, autoLogin, setIsAdmin]);
-
   function getUser() {
     getLoggedUser()
-      .then((user) => {
+      .then(async (user) => {
         setUserData(user);
-        setLoading(false);
         const isSuperUser = user!.is_superuser;
         setIsAdmin(isSuperUser);
+
+        getFoldersApi(true, true);
       })
       .catch((error) => {
-        console.log("auth context");
         setLoading(false);
       });
   }
@@ -146,6 +121,7 @@ export function AuthProvider({ children }): React.ReactElement {
         setApiKey,
         apiKey,
         storeApiKey,
+        getUser,
       }}
     >
       {children}
diff --git a/src/frontend/src/controllers/API/api.tsx b/src/frontend/src/controllers/API/api.tsx
index c6786cc1cc5..0ac3efa6b91 100644
--- a/src/frontend/src/controllers/API/api.tsx
+++ b/src/frontend/src/controllers/API/api.tsx
@@ -1,10 +1,12 @@
 import axios, { AxiosError, AxiosInstance } from "axios";
 import { useContext, useEffect } from "react";
 import { Cookies } from "react-cookie";
-import { useNavigate } from "react-router-dom";
 import { renewAccessToken } from ".";
+import { BuildStatus } from "../../constants/enums";
 import { AuthContext } from "../../contexts/authContext";
 import useAlertStore from "../../stores/alertStore";
+import useFlowStore from "../../stores/flowStore";
+import { checkDuplicateRequestAndStoreRequest } from "./helpers/check-duplicate-requests";
 
 // Create a new Axios instance
 const api: AxiosInstance = axios.create({
@@ -15,62 +17,45 @@ function ApiInterceptor() {
   const setErrorData = useAlertStore((state) => state.setErrorData);
   let { accessToken, login, logout, authenticationErrorCount, autoLogin } =
     useContext(AuthContext);
-  const navigate = useNavigate();
   const cookies = new Cookies();
 
   useEffect(() => {
     const interceptor = api.interceptors.response.use(
       (response) => response,
       async (error: AxiosError) => {
-        if (error.response?.status === 401) {
-          const accessToken = cookies.get("access_token_lf");
-          if (accessToken && !autoLogin) {
-            authenticationErrorCount = authenticationErrorCount + 1;
-            if (authenticationErrorCount > 3) {
-              authenticationErrorCount = 0;
-              logout();
+        if (
+          error?.response?.status === 403 ||
+          error?.response?.status === 401
+        ) {
+          if (!autoLogin) {
+            if (error?.config?.url?.includes("github")) {
+              return Promise.reject(error);
             }
-            try {
-              const res = await renewAccessToken();
-              if (res?.data?.access_token && res?.data?.refresh_token) {
-                login(res?.data?.access_token);
-              }
-              if (error?.config?.headers) {
-                delete error.config.headers["Authorization"];
-                error.config.headers["Authorization"] = `Bearer ${cookies.get(
-                  "access_token_lf"
-                )}`;
-                const response = await axios.request(error.config);
-                return response;
-              }
-            } catch (error) {
-              if (axios.isAxiosError(error) && error.response?.status === 401) {
-                logout();
-              } else {
-                console.error(error);
-                logout();
-              }
+            const stillRefresh = checkErrorCount();
+            if (!stillRefresh) {
+              return Promise.reject(error);
             }
-          }
+            const acceptedRequest = await tryToRenewAccessToken(error);
+
+            const accessToken = cookies.get("access_token_lf");
 
-          if (!accessToken && error?.config?.url?.includes("login")) {
-            return Promise.reject(error);
-          } else {
-            logout();
+            if (!accessToken && error?.config?.url?.includes("login")) {
+              return Promise.reject(error);
+            }
+
+            return acceptedRequest;
           }
-        } else {
-          // if (URL_EXCLUDED_FROM_ERROR_RETRIES.includes(error.config?.url)) {
-          return Promise.reject(error);
-          // }
         }
-      }
+        await clearBuildVerticesState(error);
+        return Promise.reject(error);
+      },
     );
 
     const isAuthorizedURL = (url) => {
       const authorizedDomains = [
-        "https://raw.githubusercontent.com/logspace-ai/langflow_examples/main/examples",
-        "https://api.github.com/repos/logspace-ai/langflow_examples/contents/examples",
-        "https://api.github.com/repos/logspace-ai/langflow",
+        "https://raw.githubusercontent.com/langflow-ai/langflow_examples/main/examples",
+        "https://api.github.com/repos/langflow-ai/langflow_examples/contents/examples",
+        "https://api.github.com/repos/langflow-ai/langflow",
         "auto_login",
       ];
 
@@ -80,10 +65,10 @@ function ApiInterceptor() {
         const parsedURL = new URL(url);
 
         const isDomainAllowed = authorizedDomains.some(
-          (domain) => parsedURL.origin === new URL(domain).origin
+          (domain) => parsedURL.origin === new URL(domain).origin,
         );
         const isEndpointAllowed = authorizedEndpoints.some((endpoint) =>
-          parsedURL.pathname.includes(endpoint)
+          parsedURL.pathname.includes(endpoint),
         );
 
         return isDomainAllowed || isEndpointAllowed;
@@ -96,16 +81,28 @@ function ApiInterceptor() {
     // Request interceptor to add access token to every request
     const requestInterceptor = api.interceptors.request.use(
       (config) => {
+        const checkRequest = checkDuplicateRequestAndStoreRequest(config);
+
+        const controller = new AbortController();
+
+        if (!checkRequest) {
+          controller.abort("Duplicate Request");
+          console.error("Duplicate Request");
+        }
+
         const accessToken = cookies.get("access_token_lf");
         if (accessToken && !isAuthorizedURL(config?.url)) {
           config.headers["Authorization"] = `Bearer ${accessToken}`;
         }
 
-        return config;
+        return {
+          ...config,
+          signal: controller.signal,
+        };
       },
       (error) => {
         return Promise.reject(error);
-      }
+      },
     );
 
     return () => {
@@ -115,6 +112,50 @@ function ApiInterceptor() {
     };
   }, [accessToken, setErrorData]);
 
+  function checkErrorCount() {
+    authenticationErrorCount = authenticationErrorCount + 1;
+
+    if (authenticationErrorCount > 3) {
+      authenticationErrorCount = 0;
+      logout();
+      return false;
+    }
+
+    return true;
+  }
+
+  async function tryToRenewAccessToken(error: AxiosError) {
+    try {
+      if (window.location.pathname.includes("/login")) return;
+      const res = await renewAccessToken();
+      if (res?.data?.access_token && res?.data?.refresh_token) {
+        login(res?.data?.access_token);
+      }
+      if (error?.config?.headers) {
+        delete error.config.headers["Authorization"];
+        error.config.headers["Authorization"] = `Bearer ${cookies.get(
+          "access_token_lf",
+        )}`;
+        const response = await axios.request(error.config);
+        return response;
+      }
+    } catch (error) {
+      clearBuildVerticesState(error);
+      logout();
+      return Promise.reject("Authentication error");
+    }
+  }
+
+  async function clearBuildVerticesState(error) {
+    if (error?.response?.status === 500) {
+      const vertices = useFlowStore.getState().verticesBuild;
+      useFlowStore
+        .getState()
+        .updateBuildStatus(vertices?.verticesIds ?? [], BuildStatus.BUILT);
+      useFlowStore.getState().setIsBuilding(false);
+    }
+  }
+
   return null;
 }
 
diff --git a/src/frontend/src/controllers/API/helpers/check-duplicate-requests.ts b/src/frontend/src/controllers/API/helpers/check-duplicate-requests.ts
new file mode 100644
index 00000000000..85c6608ac7c
--- /dev/null
+++ b/src/frontend/src/controllers/API/helpers/check-duplicate-requests.ts
@@ -0,0 +1,33 @@
+import { AUTHORIZED_DUPLICATE_REQUESTS } from "../../../constants/constants";
+
+export function checkDuplicateRequestAndStoreRequest(config) {
+  const lastUrl = localStorage.getItem("lastUrlCalled");
+  const lastMethodCalled = localStorage.getItem("lastMethodCalled");
+  const lastRequestTime = localStorage.getItem("lastRequestTime");
+  const lastCurrentUrl = localStorage.getItem("lastCurrentUrl");
+
+  const currentUrl = window.location.pathname;
+  const currentTime = Date.now();
+  const isContained = AUTHORIZED_DUPLICATE_REQUESTS.some((request) =>
+    config?.url!.includes(request),
+  );
+
+  if (
+    config?.url === lastUrl &&
+    !isContained &&
+    lastMethodCalled === config.method &&
+    lastMethodCalled === "get" && // Assuming you want to check only for GET requests
+    lastRequestTime &&
+    currentTime - parseInt(lastRequestTime, 10) < 300 &&
+    lastCurrentUrl === currentUrl
+  ) {
+    return false;
+  }
+
+  localStorage.setItem("lastUrlCalled", config.url ?? "");
+  localStorage.setItem("lastMethodCalled", config.method ?? "");
+  localStorage.setItem("lastRequestTime", currentTime.toString());
+  localStorage.setItem("lastCurrentUrl", currentUrl);
+
+  return true;
+}
diff --git a/src/frontend/src/controllers/API/index.ts b/src/frontend/src/controllers/API/index.ts
index ef3b6d228bc..17e89debe65 100644
--- a/src/frontend/src/controllers/API/index.ts
+++ b/src/frontend/src/controllers/API/index.ts
@@ -1,19 +1,28 @@
-import { AxiosResponse } from "axios";
-import { ReactFlowJsonObject } from "reactflow";
-import { BASE_URL_API } from "../../constants/constants";
+import { ColDef, ColGroupDef } from "ag-grid-community";
+import { AxiosRequestConfig, AxiosResponse } from "axios";
+import { Edge, Node, ReactFlowJsonObject } from "reactflow";
+import { BASE_URL_API, MAX_BATCH_SIZE } from "../../constants/constants";
 import { api } from "../../controllers/API/api";
 import {
   APIObjectType,
+  APITemplateType,
   Component,
+  CustomComponentRequest,
   LoginType,
+  ProfilePicturesTypeAPI,
   Users,
+  VertexBuildTypeAPI,
+  VerticesOrderTypeAPI,
   changeUser,
   resetPasswordType,
   sendAllProps,
 } from "../../types/api/index";
 import { UserInputType } from "../../types/components";
 import { FlowStyleType, FlowType } from "../../types/flow";
+import { Message } from "../../types/messages";
 import { StoreComponentResponse } from "../../types/store";
+import { FlowPoolType } from "../../types/zustand/flow";
+import { extractColumnsFromRows } from "../../utils/utils";
 import {
   APIClassType,
   BuildStatusTypeAPI,
@@ -26,10 +35,13 @@ import {
 /**
  * Fetches all objects from the API endpoint.
  *
+ * @param {boolean} force_refresh - Whether to force a refresh of the data.
  * @returns {Promise<AxiosResponse<APIObjectType>>} A promise that resolves to an AxiosResponse containing all the objects.
  */
-export async function getAll(): Promise<AxiosResponse<APIObjectType>> {
-  return await api.get(`${BASE_URL_API}all`);
+export async function getAll(
+  force_refresh: boolean = true,
+): Promise<AxiosResponse<APIObjectType>> {
+  return await api.get(`${BASE_URL_API}all?force_refresh=${force_refresh}`);
 }
 
 const GITHUB_API_URL = "https://api.github.com";
@@ -55,7 +67,7 @@ export async function sendAll(data: sendAllProps) {
 }
 
 export async function postValidateCode(
-  code: string
+  code: string,
 ): Promise<AxiosResponse<errorsTypeAPI>> {
   return await api.post(`${BASE_URL_API}validate/code`, { code });
 }
@@ -70,7 +82,7 @@ export async function postValidateCode(
 export async function postValidatePrompt(
   name: string,
   template: string,
-  frontend_node: APIClassType
+  frontend_node: APIClassType,
 ): Promise<AxiosResponse<PromptTypeAPI>> {
   return api.post(`${BASE_URL_API}validate/prompt`, {
     name,
@@ -86,7 +98,7 @@ export async function postValidatePrompt(
  */
 export async function getExamples(): Promise<FlowType[]> {
   const url =
-    "https://api.github.com/repos/logspace-ai/langflow_examples/contents/examples?ref=main";
+    "https://api.github.com/repos/langflow-ai/langflow_examples/contents/examples?ref=main";
   const response = await api.get(url);
 
   const jsonFiles = response.data.filter((file: any) => {
@@ -115,6 +127,8 @@ export async function saveFlowToDatabase(newFlow: {
   description: string;
   style?: FlowStyleType;
   is_component?: boolean;
+  folder_id?: string;
+  endpoint_name?: string;
 }): Promise<FlowType> {
   try {
     const response = await api.post(`${BASE_URL_API}flows/`, {
@@ -122,6 +136,8 @@ export async function saveFlowToDatabase(newFlow: {
       data: newFlow.data,
       description: newFlow.description,
       is_component: newFlow.is_component,
+      folder_id: newFlow.folder_id === "" ? null : newFlow.folder_id,
+      endpoint_name: newFlow.endpoint_name,
     });
 
     if (response.status !== 201) {
@@ -141,13 +157,15 @@ export async function saveFlowToDatabase(newFlow: {
  * @throws Will throw an error if the update fails.
  */
 export async function updateFlowInDatabase(
-  updatedFlow: FlowType
+  updatedFlow: FlowType,
 ): Promise<FlowType> {
   try {
     const response = await api.patch(`${BASE_URL_API}flows/${updatedFlow.id}`, {
       name: updatedFlow.name,
       data: updatedFlow.data,
       description: updatedFlow.description,
+      folder_id: updatedFlow.folder_id === "" ? null : updatedFlow.folder_id,
+      endpoint_name: updatedFlow.endpoint_name,
     });
 
     if (response?.status !== 200) {
@@ -307,7 +325,14 @@ export async function getVersion() {
  * @returns {Promise<AxiosResponse<any>>} A promise that resolves to an AxiosResponse containing the health status.
  */
 export async function getHealth() {
-  return await api.get("/health"); // Health is the only endpoint that doesn't require /api/v1
+  return await api.get("/health").catch((e) => {
+    if (e.code === "ECONNABORTED") {
+      console.log("request cancelled");
+    } else {
+      // raise error to be caught by the caller
+      throw e;
+    }
+  }); // Health is the only endpoint that doesn't require /api/v1
 }
 
 /**
@@ -317,7 +342,7 @@ export async function getHealth() {
  *
  */
 export async function getBuildStatus(
-  flowId: string
+  flowId: string,
 ): Promise<AxiosResponse<BuildStatusTypeAPI>> {
   return await api.get(`${BASE_URL_API}build/${flowId}/status`);
 }
@@ -330,7 +355,7 @@ export async function getBuildStatus(
  *
  */
 export async function postBuildInit(
-  flow: FlowType
+  flow: FlowType,
 ): Promise<AxiosResponse<InitTypeAPI>> {
   return await api.post(`${BASE_URL_API}build/init/${flow.id}`, flow);
 }
@@ -346,17 +371,30 @@ export async function postBuildInit(
  */
 export async function uploadFile(
   file: File,
-  id: string
+  id: string,
 ): Promise<AxiosResponse<UploadFileTypeAPI>> {
   const formData = new FormData();
   formData.append("file", file);
-  return await api.post(`${BASE_URL_API}upload/${id}`, formData);
+  return await api.post(`${BASE_URL_API}files/upload/${id}`, formData);
+}
+
+export async function getProfilePictures(): Promise<ProfilePicturesTypeAPI | null> {
+  try {
+    const res = await api.get(`${BASE_URL_API}files/profile_pictures/list`);
+
+    if (res.status === 200) {
+      return res.data;
+    }
+  } catch (error) {
+    throw error;
+  }
+  return null;
 }
 
 export async function postCustomComponent(
   code: string,
-  apiClass: APIClassType
-): Promise<AxiosResponse<APIClassType>> {
+  apiClass: APIClassType,
+): Promise<AxiosResponse<CustomComponentRequest>> {
   // let template = apiClass.template;
   return await api.post(`${BASE_URL_API}custom_component`, {
     code,
@@ -366,11 +404,15 @@ export async function postCustomComponent(
 
 export async function postCustomComponentUpdate(
   code: string,
-  field: string
+  template: APITemplateType,
+  field: string,
+  field_value: any,
 ): Promise<AxiosResponse<APIClassType>> {
   return await api.post(`${BASE_URL_API}custom_component/update`, {
     code,
+    template,
     field,
+    field_value,
   });
 }
 
@@ -386,7 +428,7 @@ export async function onLogin(user: LoginType) {
         headers: {
           "Content-Type": "application/x-www-form-urlencoded",
         },
-      }
+      },
     );
 
     if (response.status === 200) {
@@ -398,9 +440,11 @@ export async function onLogin(user: LoginType) {
   }
 }
 
-export async function autoLogin() {
+export async function autoLogin(abortSignal) {
   try {
-    const response = await api.get(`${BASE_URL_API}auto_login`);
+    const response = await api.get(`${BASE_URL_API}auto_login`, {
+      signal: abortSignal,
+    });
 
     if (response.status === 200) {
       const data = response.data;
@@ -446,11 +490,11 @@ export async function addUser(user: UserInputType): Promise<Array<Users>> {
 
 export async function getUsersPage(
   skip: number,
-  limit: number
+  limit: number,
 ): Promise<Array<Users>> {
   try {
     const res = await api.get(
-      `${BASE_URL_API}users/?skip=${skip}&limit=${limit}`
+      `${BASE_URL_API}users/?skip=${skip}&limit=${limit}`,
     );
     if (res.status === 200) {
       return res.data;
@@ -487,7 +531,7 @@ export async function resetPassword(user_id: string, user: resetPasswordType) {
   try {
     const res = await api.patch(
       `${BASE_URL_API}users/${user_id}/reset-password`,
-      user
+      user,
     );
     if (res.status === 200) {
       return res.data;
@@ -561,7 +605,7 @@ export async function saveFlowStore(
     last_tested_version?: string;
   },
   tags: string[],
-  publicFlow = false
+  publicFlow = false,
 ): Promise<FlowType> {
   try {
     const response = await api.post(`${BASE_URL_API}store/components/`, {
@@ -690,7 +734,7 @@ export async function postStoreComponents(component: Component) {
 export async function getComponent(component_id: string) {
   try {
     const res = await api.get(
-      `${BASE_URL_API}store/components/${component_id}`
+      `${BASE_URL_API}store/components/${component_id}`,
     );
     if (res.status === 200) {
       return res.data;
@@ -705,7 +749,7 @@ export async function searchComponent(
   page?: number | null,
   limit?: number | null,
   status?: string | null,
-  tags?: string[]
+  tags?: string[],
 ): Promise<StoreComponentResponse | undefined> {
   try {
     let url = `${BASE_URL_API}store/components/`;
@@ -817,7 +861,7 @@ export async function updateFlowStore(
   },
   tags: string[],
   publicFlow = false,
-  id: string
+  id: string,
 ): Promise<FlowType> {
   try {
     const response = await api.patch(`${BASE_URL_API}store/components/${id}`, {
@@ -850,3 +894,235 @@ export async function requestLogout() {
     throw error;
   }
 }
+
+export async function getGlobalVariables(): Promise<{
+  [key: string]: { id: string; type: string; default_fields: string[] };
+}> {
+  const globalVariables = {};
+  (await api.get(`${BASE_URL_API}variables/`)).data.forEach((element) => {
+    globalVariables[element.name] = {
+      id: element.id,
+      type: element.type,
+      default_fields: element.default_fields,
+    };
+  });
+  return globalVariables;
+}
+
+export async function registerGlobalVariable({
+  name,
+  value,
+  type,
+  default_fields = [],
+}: {
+  name: string;
+  value: string;
+  type?: string;
+  default_fields?: string[];
+}): Promise<AxiosResponse<{ name: string; id: string; type: string }>> {
+  try {
+    const response = await api.post(`${BASE_URL_API}variables/`, {
+      name,
+      value,
+      type,
+      default_fields: default_fields,
+    });
+    return response;
+  } catch (error) {
+    throw error;
+  }
+}
+
+export async function deleteGlobalVariable(id: string) {
+  try {
+    const response = await api.delete(`${BASE_URL_API}variables/${id}`);
+    return response;
+  } catch (error) {
+    throw error;
+  }
+}
+
+export async function updateGlobalVariable(
+  name: string,
+  value: string,
+  id: string,
+) {
+  try {
+    const response = api.patch(`${BASE_URL_API}variables/${id}`, {
+      name,
+      value,
+    });
+
+    return response;
+  } catch (error) {
+    throw error;
+  }
+}
+
+export async function getVerticesOrder(
+  flowId: string,
+  startNodeId?: string | null,
+  stopNodeId?: string | null,
+  nodes?: Node[],
+  Edges?: Edge[],
+): Promise<AxiosResponse<VerticesOrderTypeAPI>> {
+  // nodeId is optional and is a query parameter
+  // if nodeId is not provided, the API will return all vertices
+  const config: AxiosRequestConfig<any> = {};
+  if (stopNodeId) {
+    config["params"] = { stop_component_id: stopNodeId };
+  } else if (startNodeId) {
+    config["params"] = { start_component_id: startNodeId };
+  }
+  const data = {
+    data: {},
+  };
+  if (nodes && Edges) {
+    data["data"]["nodes"] = nodes;
+    data["data"]["edges"] = Edges;
+  }
+  return await api.post(
+    `${BASE_URL_API}build/${flowId}/vertices`,
+    data,
+    config,
+  );
+}
+
+export async function postBuildVertex(
+  flowId: string,
+  vertexId: string,
+  input_value: string,
+  files?: string[],
+): Promise<AxiosResponse<VertexBuildTypeAPI>> {
+  // input_value is optional and is a query parameter
+  let data = {};
+  if (typeof input_value !== "undefined") {
+    data["inputs"] = { input_value: input_value };
+  }
+  if (data && files) {
+    data["files"] = files;
+  }
+  return await api.post(
+    `${BASE_URL_API}build/${flowId}/vertices/${vertexId}`,
+    data,
+  );
+}
+
+export async function downloadImage({ flowId, fileName }): Promise<any> {
+  return await api.get(`${BASE_URL_API}files/images/${flowId}/${fileName}`);
+}
+
+export async function getFlowPool({
+  flowId,
+  nodeId,
+}: {
+  flowId: string;
+  nodeId?: string;
+}): Promise<AxiosResponse<{ vertex_builds: FlowPoolType }>> {
+  const config = {};
+  config["params"] = { flow_id: flowId };
+  if (nodeId) {
+    config["params"] = { nodeId };
+  }
+  return await api.get(`${BASE_URL_API}monitor/builds`, config);
+}
+
+export async function deleteFlowPool(
+  flowId: string,
+): Promise<AxiosResponse<any>> {
+  const config = {};
+  config["params"] = { flow_id: flowId };
+  return await api.delete(`${BASE_URL_API}monitor/builds`, config);
+}
+
+/**
+ * Deletes multiple flow components by their IDs.
+ * @param flowIds - An array of flow IDs to be deleted.
+ * @param token - The authorization token for the API request.
+ * @returns A promise that resolves to an array of AxiosResponse objects representing the delete responses.
+ */
+export async function multipleDeleteFlowsComponents(
+  flowIds: string[],
+): Promise<AxiosResponse<any>[]> {
+  const batches: string[][] = [];
+
+  // Split the flowIds into batches
+  for (let i = 0; i < flowIds.length; i += MAX_BATCH_SIZE) {
+    batches.push(flowIds.slice(i, i + MAX_BATCH_SIZE));
+  }
+
+  // Function to delete a batch of flow IDs
+  const deleteBatch = async (batch: string[]): Promise<AxiosResponse<any>> => {
+    try {
+      return await api.delete(`${BASE_URL_API}flows/`, {
+        data: batch,
+      });
+    } catch (error) {
+      console.error("Error deleting flows:", error);
+      throw error;
+    }
+  };
+
+  // Execute all delete requests
+  const responses: Promise<AxiosResponse<any>>[] = batches.map((batch) =>
+    deleteBatch(batch),
+  );
+
+  // Return the responses after all requests are completed
+  return Promise.all(responses);
+}
+
+export async function getTransactionTable(
+  id: string,
+  mode: "intersection" | "union",
+  params = {},
+): Promise<{ rows: Array<object>; columns: Array<ColDef | ColGroupDef> }> {
+  const config = {};
+  config["params"] = { flow_id: id };
+  if (params) {
+    config["params"] = { ...config["params"], ...params };
+  }
+  const rows = await api.get(`${BASE_URL_API}monitor/transactions`, config);
+  const columns = extractColumnsFromRows(rows.data, mode);
+  return { rows: rows.data, columns };
+}
+
+export async function getMessagesTable(
+  mode: "intersection" | "union",
+  id?: string,
+  excludedFields?: string[],
+  params = {},
+): Promise<{ rows: Array<Message>; columns: Array<ColDef | ColGroupDef> }> {
+  const config = {};
+  if (id) {
+    config["params"] = { flow_id: id };
+  }
+  if (params) {
+    config["params"] = { ...config["params"], ...params };
+  }
+  const rows = await api.get(`${BASE_URL_API}monitor/messages`, config);
+
+  const rowsOrganized = rows.data;
+
+  const columns = extractColumnsFromRows(rowsOrganized, mode, excludedFields);
+  const sessions = new Set<string>();
+  rowsOrganized.forEach((row) => {
+    sessions.add(row.session_id);
+  });
+  return { rows: rowsOrganized, columns };
+}
+
+export async function deleteMessagesFn(ids: number[]) {
+  try {
+    return await api.delete(`${BASE_URL_API}monitor/messages`, {
+      data: ids,
+    });
+  } catch (error) {
+    console.error("Error deleting flows:", error);
+    throw error;
+  }
+}
+
+export async function updateMessageApi(data: Message) {
+  return await api.post(`${BASE_URL_API}monitor/messages/${data.index}`, data);
+}
diff --git a/src/frontend/src/controllers/API/utils.tsx b/src/frontend/src/controllers/API/utils.tsx
new file mode 100644
index 00000000000..3991caa2e77
--- /dev/null
+++ b/src/frontend/src/controllers/API/utils.tsx
@@ -0,0 +1,32 @@
+import axios from "axios";
+import { BASE_URL_API } from "../../constants/constants";
+
+/**
+ * Fetches the configuration data from the API.
+ * @returns {Promise<any>} A promise that resolves to the configuration data.
+ * @throws {Error} If there was an error fetching the configuration data.
+ */
+export async function fetchConfig() {
+  try {
+    const response = await axios.get(`${BASE_URL_API}config`);
+    return response.data;
+  } catch (error) {
+    console.error("Failed to fetch configuration:", error);
+    throw error;
+  }
+}
+
+/**
+ * Sets up default configurations for Axios.
+ * Fetches the timeout configuration and sets it as the default timeout for Axios requests.
+ */
+export async function setupAxiosDefaults() {
+  const config = await fetchConfig();
+  // Create Axios instance with the fetched timeout configuration
+
+  const timeoutInMilliseconds = config.frontend_timeout
+    ? config.frontend_timeout * 1000
+    : 30000;
+  axios.defaults.baseURL = "";
+  axios.defaults.timeout = timeoutInMilliseconds;
+}
diff --git a/src/frontend/src/hooks/use-track-last-visited-path.tsx b/src/frontend/src/hooks/use-track-last-visited-path.tsx
new file mode 100644
index 00000000000..fa599080053
--- /dev/null
+++ b/src/frontend/src/hooks/use-track-last-visited-path.tsx
@@ -0,0 +1,14 @@
+import { useEffect } from "react";
+import { useLocation } from "react-router-dom";
+import { useLocationStore } from "../stores/locationStore";
+
+function useTrackLastVisitedPath() {
+  const location = useLocation();
+  const setHistory = useLocationStore((state) => state.setRouteHistory);
+
+  useEffect(() => {
+    setHistory(location.pathname);
+  }, [location]);
+}
+
+export default useTrackLastVisitedPath;
diff --git a/src/frontend/src/icons/AWS/index.tsx b/src/frontend/src/icons/AWS/index.tsx
index caedd54aa55..7bdb4c4d1e1 100644
--- a/src/frontend/src/icons/AWS/index.tsx
+++ b/src/frontend/src/icons/AWS/index.tsx
@@ -4,5 +4,5 @@ import SvgAWS from "./AWS";
 export const AWSIcon = forwardRef<SVGSVGElement, React.PropsWithChildren<{}>>(
   (props, ref) => {
     return <SvgAWS ref={ref} {...props} />;
-  }
+  },
 );
diff --git a/src/frontend/src/icons/AstraDB/AstraDB.jsx b/src/frontend/src/icons/AstraDB/AstraDB.jsx
new file mode 100644
index 00000000000..c54bee90ad4
--- /dev/null
+++ b/src/frontend/src/icons/AstraDB/AstraDB.jsx
@@ -0,0 +1,28 @@
+const AstraSVG = (props) => (
+  <svg
+    width="96"
+    height="96"
+    viewBox="12 33 72 29"
+    fill="none"
+    xmlns="http://www.w3.org/2000/svg"
+    {...props}
+  >
+    <g clip-path="url(#clip0_702_1449)">
+      {/* <rect width="96" height="96" rx="6" fill="white"/> */}
+      <path
+        d="M38.0469 33H12V62.1892H38.0469L44.5902 57.1406V38.0485L38.0469 33ZM17.0478 38.0485H39.5424V57.1459H17.0478V38.0485Z"
+        fill="black"
+      />
+      <path
+        d="M82.0705 38.2605V33.3243H58.2546L51.788 38.2605V45.038L58.2546 49.9742H79.0107V56.9286H53.076V61.8648H77.5334L84 56.9286V49.9742L77.5334 45.038H56.7772V38.2605H82.0705Z"
+        fill="black"
+      />
+    </g>
+    <defs>
+      <clipPath id="clip0_702_1449">
+        <rect width="96" height="96" fill="white" />
+      </clipPath>
+    </defs>
+  </svg>
+);
+export default AstraSVG;
diff --git a/src/frontend/src/icons/AstraDB/Favicon.svg b/src/frontend/src/icons/AstraDB/Favicon.svg
new file mode 100644
index 00000000000..7fe145b1bd8
--- /dev/null
+++ b/src/frontend/src/icons/AstraDB/Favicon.svg
@@ -0,0 +1,12 @@
+<svg width="96" height="96" viewBox="0 0 96 96" fill="none" xmlns="http://www.w3.org/2000/svg">
+<g clip-path="url(#clip0_702_1449)">
+<rect width="96" height="96" rx="6" fill="white"/>
+<path d="M38.0469 33H12V62.1892H38.0469L44.5902 57.1406V38.0485L38.0469 33ZM17.0478 38.0485H39.5424V57.1459H17.0478V38.0485Z" fill="black"/>
+<path d="M82.0705 38.2605V33.3243H58.2546L51.788 38.2605V45.038L58.2546 49.9742H79.0107V56.9286H53.076V61.8648H77.5334L84 56.9286V49.9742L77.5334 45.038H56.7772V38.2605H82.0705Z" fill="black"/>
+</g>
+<defs>
+<clipPath id="clip0_702_1449">
+<rect width="96" height="96" fill="white"/>
+</clipPath>
+</defs>
+</svg>
diff --git a/src/frontend/src/icons/AstraDB/index.tsx b/src/frontend/src/icons/AstraDB/index.tsx
new file mode 100644
index 00000000000..6d57406c065
--- /dev/null
+++ b/src/frontend/src/icons/AstraDB/index.tsx
@@ -0,0 +1,9 @@
+import React, { forwardRef } from "react";
+import AstraSVG from "./AstraDB";
+
+export const AstraDBIcon = forwardRef<
+  SVGSVGElement,
+  React.PropsWithChildren<{}>
+>((props, ref) => {
+  return <AstraSVG ref={ref} {...props} />;
+});
diff --git a/src/frontend/src/icons/AzLogo/index.tsx b/src/frontend/src/icons/AzLogo/index.tsx
index 4fa00c204fa..fa8f5605ea1 100644
--- a/src/frontend/src/icons/AzLogo/index.tsx
+++ b/src/frontend/src/icons/AzLogo/index.tsx
@@ -4,5 +4,5 @@ import SvgAzLogo from "./AzLogo";
 export const AzIcon = forwardRef<SVGSVGElement, React.PropsWithChildren<{}>>(
   (props, ref) => {
     return <SvgAzLogo ref={ref} {...props} />;
-  }
+  },
 );
diff --git a/src/frontend/src/icons/Azure/Azure.jsx b/src/frontend/src/icons/Azure/Azure.jsx
new file mode 100644
index 00000000000..644fdd9f85e
--- /dev/null
+++ b/src/frontend/src/icons/Azure/Azure.jsx
@@ -0,0 +1,61 @@
+export const SvgAzure = (props) => (
+  <svg
+    xmlns="http://www.w3.org/2000/svg"
+    xmlnsXlink="http://www.w3.org/1999/xlink"
+    width="35"
+    height="35"
+    version="1"
+    viewBox="0 0 750 750"
+  >
+    <defs>
+      <filter id="ac4759936b" width="100%" height="100%" x="0%" y="0%">
+        <feColorMatrix
+          colorInterpolationFilters="sRGB"
+          values="0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0 0 0 1 0"
+        ></feColorMatrix>
+      </filter>
+      <filter id="c69d7a8db3" width="100%" height="100%" x="0%" y="0%">
+        <feColorMatrix
+          colorInterpolationFilters="sRGB"
+          values="0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0.2126 0.7152 0.0722 0 0"
+        ></feColorMatrix>
+      </filter>
+      <image
+        width="1200"
+        height="1200"
+        x="0"
+        y="0"
+        preserveAspectRatio="xMidYMid meet"
+        xlinkHref="data:image/png;base64,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"
+      ></image>
+      <mask id="6e273c3c6d">
+        <g filter="url(#ac4759936b)">
+          <g filter="url(#c69d7a8db3)" transform="matrix(.625 0 0 .625 0 0)">
+            <image
+              width="1200"
+              height="1200"
+              xlinkHref="data:image/png;base64,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"
+            ></image>
+          </g>
+        </g>
+      </mask>
+      <image
+        width="1200"
+        height="1200"
+        x="0"
+        y="0"
+        preserveAspectRatio="xMidYMid meet"
+        xlinkHref="data:image/png;base64,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"
+      ></image>
+    </defs>
+    <g mask="url(#6e273c3c6d)">
+      <image
+        width="1200"
+        height="1200"
+        transform="matrix(.625 0 0 .625 0 0)"
+        xlinkHref="data:image/png;base64,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"
+      ></image>
+    </g>
+  </svg>
+);
+export default SvgAzure;
diff --git a/src/frontend/src/icons/Azure/index.tsx b/src/frontend/src/icons/Azure/index.tsx
new file mode 100644
index 00000000000..cde247d1b51
--- /dev/null
+++ b/src/frontend/src/icons/Azure/index.tsx
@@ -0,0 +1,8 @@
+import React, { forwardRef } from "react";
+import SvgAzure from "./Azure";
+
+export const AzureIcon = forwardRef<SVGSVGElement, React.PropsWithChildren<{}>>(
+  (props, ref) => {
+    return <SvgAzure ref={ref} {...props} />;
+  },
+);
diff --git a/src/frontend/src/icons/Bing/index.tsx b/src/frontend/src/icons/Bing/index.tsx
index 8e030ca88ac..60e70d6a6b0 100644
--- a/src/frontend/src/icons/Bing/index.tsx
+++ b/src/frontend/src/icons/Bing/index.tsx
@@ -4,5 +4,5 @@ import SvgBing from "./Bing";
 export const BingIcon = forwardRef<SVGSVGElement, React.PropsWithChildren<{}>>(
   (props, ref) => {
     return <SvgBing ref={ref} {...props} />;
-  }
+  },
 );
diff --git a/src/frontend/src/icons/BotMessageSquare/BotMessageSquare.jsx b/src/frontend/src/icons/BotMessageSquare/BotMessageSquare.jsx
new file mode 100644
index 00000000000..d0f2de7d1f9
--- /dev/null
+++ b/src/frontend/src/icons/BotMessageSquare/BotMessageSquare.jsx
@@ -0,0 +1,23 @@
+const SvgBotMessageSquare = (props) => (
+  <svg
+    xmlns="http://www.w3.org/2000/svg"
+    width="24"
+    height="24"
+    viewBox="0 0 24 24"
+    fill="none"
+    stroke="currentColor"
+    strokeWidth="2"
+    strokeLinecap="round"
+    strokeLinejoin="round"
+    className="lucide lucide-bot-message-square"
+    {...props}
+  >
+    <path d="M12 6V2H8" />
+    <path d="m8 18-4 4V8a2 2 0 0 1 2-2h12a2 2 0 0 1 2 2v8a2 2 0 0 1-2 2Z" />
+    <path d="M2 12h2" />
+    <path d="M9 11v2" />
+    <path d="M15 11v2" />
+    <path d="M20 12h2" />
+  </svg>
+);
+export default SvgBotMessageSquare;
diff --git a/src/frontend/src/icons/BotMessageSquare/index.tsx b/src/frontend/src/icons/BotMessageSquare/index.tsx
new file mode 100644
index 00000000000..c3b4b04a5ed
--- /dev/null
+++ b/src/frontend/src/icons/BotMessageSquare/index.tsx
@@ -0,0 +1,9 @@
+import React, { forwardRef } from "react";
+import SvgChroma from "./BotMessageSquare";
+
+export const BotMessageSquareIcon = forwardRef<
+  SVGSVGElement,
+  React.PropsWithChildren<{}>
+>((props, ref) => {
+  return <SvgChroma ref={ref} {...props} />;
+});
diff --git a/src/frontend/src/icons/Cassandra/Cassandra.jsx b/src/frontend/src/icons/Cassandra/Cassandra.jsx
new file mode 100644
index 00000000000..9a8d48d38a8
--- /dev/null
+++ b/src/frontend/src/icons/Cassandra/Cassandra.jsx
@@ -0,0 +1,73 @@
+const CassandraSVG = (props) => (
+  <svg
+    width="24"
+    height="24"
+    viewBox="0 -43.5 256 256"
+    fill="none"
+    xmlns="http://www.w3.org/2000/svg"
+    {...props}
+  >
+    <g fill="#373535">
+      <path d="M30.9 142.2c2.2 0 4.2.5 5.3 1.5.2 1.6-1.3 4.2-2.2 4.2-1.1-.4-2.1-.6-3.4-.6-5.2 0-7.8 5.4-7.8 10.7 0 3.3 1.1 5.3 3.8 5.3 2.8 0 5.6-1.9 7.2-3.3.4.3.9 1.2.9 2.2 0 1.1-.3 2.2-1.4 3.3-1.8 1.8-4.9 3.4-9.4 3.4-5.1 0-8.7-2.9-8.7-9.7.2-9 6-17 15.7-17ZM47.7 163c2.8 0 7.9-4.9 9.3-14.3.1-.6.1-.7.2-1.3-.6-.2-1.5-.4-2.3-.4-2.1 0-4.3.6-6.2 3.3-2 2.8-2.9 6.3-2.9 9.1 0 2.3.7 3.6 1.9 3.6Zm-9.2-2.6c0-3.4 1.1-9.2 5.4-13.5 3.7-3.8 8.1-4.7 12.2-4.7 2.7 0 6.3.9 8.6 1.3-.6 2.5-1.9 12-2.6 17.5-.3 2.3-.4 5.6-.3 6.8-1.9.8-5.4 1-6.4 1-.5 0-.6-2.3-.5-4.6.1-.7.2-1.8.2-2.3-2.2 3.7-6.6 6.8-11.2 6.8-3.3.1-5.4-2.7-5.4-8.3ZM78.9 142.2c2.3 0 4.6.9 5.6 1.9-.1 1.6-1.3 4.3-3.3 3.5-.9-.3-1.7-.5-2.9-.5-1.5 0-2.9.7-2.9 2.1 0 1.1.8 1.9 4.6 4.6 2.7 2 3.8 3.8 3.8 6.3 0 4.2-3.9 8.7-10.8 8.7-2.8 0-5.3-1.1-6-2.2-1-1.7-.2-5.1.9-4.5 1.5.7 3.9 1.5 5.9 1.5 1.9 0 3.1-.9 3.1-2 0-1-.9-1.8-4.3-4.3-2.9-2.2-3.8-4.2-3.8-6.4 0-4.8 4.1-8.7 10.1-8.7ZM98.6 142.2c2.3 0 4.6.9 5.6 1.9-.1 1.6-1.3 4.3-3.3 3.5-.9-.3-1.7-.5-2.9-.5-1.5 0-2.9.7-2.9 2.1 0 1.1.8 1.9 4.6 4.6 2.7 2 3.8 3.8 3.8 6.3 0 4.2-3.9 8.7-10.8 8.7-2.8 0-5.2-1.1-6-2.2-1-1.7-.2-5.1.9-4.5 1.5.7 3.9 1.5 5.9 1.5 1.9 0 3.1-.9 3.1-2 0-1-.9-1.8-4.3-4.3-2.9-2.2-3.8-4.2-3.8-6.4 0-4.8 4.1-8.7 10.1-8.7ZM116.5 163c2.8 0 7.9-4.9 9.3-14.3.1-.6.1-.7.2-1.3-.6-.2-1.5-.4-2.3-.4-2.1 0-4.3.6-6.2 3.3-2 2.8-2.9 6.3-2.9 9.1.1 2.3.7 3.6 1.9 3.6Zm-9.2-2.6c0-3.4 1.1-9.2 5.4-13.5 3.7-3.8 8.1-4.7 12.2-4.7 2.7 0 6.3.9 8.6 1.3-.6 2.5-1.9 12-2.6 17.5-.3 2.3-.4 5.6-.3 6.8-1.9.8-5.4 1-6.4 1-.5 0-.6-2.3-.5-4.6.1-.7.2-1.8.2-2.3-2.2 3.7-6.6 6.8-11.2 6.8-3.2.1-5.4-2.7-5.4-8.3ZM146.4 149.6c2.6-4.2 6-7.4 10.8-7.4 4.1 0 5.4 3.8 4.6 9.1-.4 2.5-1.1 6.1-1.5 9.4-.4 2.8-.7 5.3-.6 7-1.5.7-5.8 1-6.8 1-.4 0-.5-3.1.1-6.4.5-2.7 1.4-7.7 1.9-10.6.3-1.7.2-3.7-1.4-3.7-2.1 0-7.1 3.4-9.6 17.2-.2 1.1-.6 1.8-1.3 2.2-.9.5-2.7 1-6.4 1 .7-3.5 1.8-10.6 2.6-15.9.7-4.8 1-7.9.9-9.1 1-.3 6.1-1.4 6.6-1.4.6 0 .7 1.8.2 6-.1.4-.1 1-.2 1.4h.1v.2ZM175.4 162.9c2.5 0 7.6-4.7 9-13 .1-.5.2-1.3.3-1.8-.7-.7-1.7-1.1-3.3-1.1-5.8 0-8.3 6.9-8.3 11.9.1 2.6 1 4 2.3 4Zm-3.7 5.9c-3.7 0-5.9-3.3-5.9-8.8 0-9.2 5.8-17.7 15.5-17.7 1.7 0 3.3.5 4.2 1 .5-2.6 1.7-10.7 1.8-13.1 1.6-.3 5-.8 6.6-.8.6 0 .8.6.6 2.1-1.4 8.6-3.8 25-4.3 28.6-.3 3.1-.4 6.1-.3 7.8-1.8.8-5.5 1-6.5 1-.4 0-.6-2.6-.5-5 .1-.7.2-1.8.2-2-3.1 4.6-7 6.9-11.4 6.9ZM205.1 150.4c3-6.7 6.6-8.2 9-8.2.7 0 1.9.5 2.4 1 .2 1.9-1.3 5.6-2.6 7.1-.7-.3-1.5-.7-2.5-.7-1.9 0-5.8 3-8.2 16-.2 1.1-.5 1.5-1.1 1.8-1 .6-4.8 1-6.6 1.1.9-4.7 2.3-14.2 2.9-19.8.2-1.4.2-4.1.1-5.1 1.1-.5 5.4-1.5 6.3-1.5.5 0 .9 3.1.1 8.2h.2v.1ZM225.2 163c2.8 0 7.9-4.9 9.3-14.3.1-.6.1-.7.2-1.3-.6-.2-1.5-.4-2.3-.4-2.1 0-4.3.6-6.2 3.3-2 2.8-2.9 6.3-2.9 9.1.1 2.3.7 3.6 1.9 3.6Zm-9.2-2.6c0-3.4 1.1-9.2 5.4-13.5 3.7-3.8 8.1-4.7 12.2-4.7 2.7 0 6.3.9 8.6 1.3-.6 2.5-1.9 12-2.6 17.5-.3 2.3-.4 5.6-.3 6.8-1.9.8-5.4 1-6.4 1-.5 0-.6-2.3-.5-4.6.1-.7.2-1.8.2-2.3-2.2 3.7-6.6 6.8-11.2 6.8-3.2.1-5.4-2.7-5.4-8.3Z" />
+    </g>
+    <path
+      fill="#BBE6FB"
+      d="M205.5 45.5c1.9 21.9-32.6 42.8-77.1 46.6-44.5 3.8-82-10.9-83.9-32.8-1.9-21.9 32.6-42.8 77.1-46.6 44.4-3.8 82 10.8 83.9 32.8"
+    />
+    <path
+      fill="#FFF"
+      d="M122.8 15.2c-17-.3-36.8 6.5-51.6 12.8-1.5 4.4-2.4 9.1-2.4 14 0 26 23.5 47.1 52.5 47.1s52.6-21 52.6-47.1c0-8.2-2.4-16-6.5-22.7-11.8-1.8-28.1-3.8-44.6-4.1"
+    />
+    <path
+      fill="#FFF"
+      d="M121.4 15.2c-9.4-.6-25.6 4.3-39.1 9.2-2.1 4.8-3.2 10.1-3.2 15.7 0 22.8 20.7 41.3 42.5 41.3 21.7 0 40.9-18.5 42.5-41.3.5-7.4-2-14.4-5.6-20.4-13.9-2.4-28.7-3.9-37.1-4.5"
+    />
+    <path
+      fill="#373535"
+      d="M97.3 37.2c1.2-2.6 2.9-3.8 4.6-5.9-.2-.5-.6-2.2-.6-2.7 0-2.6 2.1-4.6 4.6-4.6.6 0 1.2.1 1.7.3 7.7-5.9 17.8-8.4 28-6.1.9.2 1.8.5 2.7.7-10-1.4-21.4 2.2-29.1 8.4.2.6.9 2.1.9 2.8 0 2.6-1.7 3.2-4.2 3.2-.6 0-1.1-.1-1.7-.3-1.7 2.3-3.9 6.8-4.9 9.6 4.3 3.8 8.1 5.2 13.1 7.1 0-.2.2-.5.2-.7 0-7.7 6.8-14 14.5-14 6.9 0 12.7 5 13.8 11.6 3.5-2.2 6.8-3.9 9.3-7.1-.6-.7-1.2-2.8-1.2-3.8 0-2.3 1.9-4.2 4.2-4.2.3 0 .6 0 1 .1 1.3-2.7 2.3-5.5 2.9-8.4-12.1-9-35.5-7.7-35.5-7.7s-18.6-1-31.2 5.2c.9 5.8 3.3 11.6 6.9 16.5"
+    />
+    <path
+      fill="#373535"
+      d="M155.1 33.7c.9.8 1.3 1.4 1.7 2.1 1.1 2-1.1 3.9-3.5 3.9-.2 0-.5 0-.7-.1-2.6 4.1-7.2 9.3-11.3 12 6.3 1 12.2 3.5 16.8 7.4 3.4-6.1 6-15 6-22.5 0-5.7-2.5-9.9-6.3-13-.1 3.1-1.8 7.4-2.7 10.2M104.3 72.5c2.1-5.8 7.2-10.2 12.1-14.1-.7-1-1.8-3.4-2.2-4.5-5.9-1.8-11.1-5.2-15.2-9.6 0 .1-.1.3-.1.4-.8 3.4-.9 6.9-.5 10.2 2.8.5 5 3 5 6 0 1.8-1.6 4.3-2.8 5.5 1.2 2.6 2.1 4 3.7 6.1"
+    />
+    <path
+      fill="#373535"
+      d="M103.9 77.3c-2.5-2.5-4.2-7.4-5.8-10.5-.3 0-.6.1-.9.1-3.4 0-6.9-2.8-6.1-6.1.4-1.8 1.7-3 3.7-4-.5-3.8-.6-9.1.3-13 .2-1.1.8-1.6 1.1-2.7-3.7-5.4-6.1-12.6-6.1-19.7v-.8c-6.3 3.2-11 8.1-11 15.9 0 17.3 10 34.3 24.8 40.9v-.1M140.4 53.4c-1.9 5.4-7.1 9.4-13.2 9.4-3.3 0-6.3-1.1-8.6-3-4.9 3.8-9.4 10.5-11.6 16.4 1 1.1 1.7 2 2.9 3 3.4.9 8.2 0 11.9 0 14.9 0 28.2-6.6 35.8-18.3-5.2-3.6-11.2-7-17.2-7.5"
+    />
+    <path
+      fill="#1287B1"
+      d="M96.9 39.2c1.2-2.6 2.6-4.9 4.3-7.1-.2-.5-.3-1.1-.3-1.6 0-2.6 2.1-4.6 4.6-4.6.6 0 1.2.1 1.7.3 7.7-5.9 17.8-8.4 28-6.1.9.2 1.8.5 2.7.7-10-1.4-20.4 1.7-28.1 7.9.2.6.4 1.2.4 1.8 0 2.6-2.1 4.6-4.6 4.6-.6 0-1.1-.1-1.7-.3-1.7 2.3-3.2 4.9-4.2 7.7 3.7 3.9 8.2 7.1 13.2 8.9v-.7c0-7.7 6.3-14 14-14 6.9 0 12.7 5 13.8 11.6 3.5-2.2 6.5-5 9.1-8.3-.6-.7-1-1.6-1-2.6 0-2.3 1.9-4.2 4.2-4.2.3 0 .6 0 1 .1 1.3-2.7 2.3-5.5 2.9-8.4-12.1-9-35.5-7.7-35.5-7.7s-18.6-1-31.2 5.2c.7 6.1 3.1 11.9 6.7 16.8"
+    />
+    <path
+      fill="#1287B1"
+      d="M155.7 34.4c.9.8 1.4 1.9 1.4 3.1 0 2.3-1.9 4.2-4.2 4.2-.2 0-.5 0-.7-.1-2.6 4.1-6.1 7.6-10.2 10.2 6 .9 11.7 3.5 16.4 7.4 3.4-6.1 5.4-13.2 5.4-20.7 0-5.7-2.5-9.9-6.3-13-.2 3.1-.8 6.1-1.8 8.9M104.9 73.8c2.1-5.8 5.7-10.9 10.6-14.8-.7-1-1.3-2-1.7-3.2-5.9-1.8-11.1-5.2-15.2-9.6 0 .1-.1.3-.1.4-.8 3.4-.9 6.9-.5 10.2 2.8.5 5 3 5 6 0 1.8-.8 3.4-2 4.5 1 2.3 2.4 4.5 3.9 6.5"
+    />
+    <path
+      fill="#1287B1"
+      d="M103.9 77.2c-2.5-2.5-4.6-5.3-6.2-8.4-.3 0-.6.1-.9.1-3.4 0-6.1-2.7-6.1-6.1 0-2.4 1.4-4.5 3.4-5.5-.5-3.8-.3-7.6.6-11.5.2-1.1.6-2.2.9-3.3-3.7-5.4-5.9-12-5.9-19.1v-.8c-6.3 3.2-11 8.1-11 15.9 0 17.3 10.3 32.2 25.1 38.8.1 0 .1 0 .1-.1M140 55.4c-1.9 5.4-7.1 9.4-13.2 9.4-3.3 0-6.3-1.1-8.6-3-4.9 3.8-8.6 9-10.9 14.9 1 1.1 2.1 2.1 3.2 3.1 3.4.9 7 1.4 10.7 1.4 14.9 0 28.1-7.7 35.7-19.4-5-3.6-10.9-5.9-16.9-6.4"
+    />
+    <path
+      fill="#FFF"
+      d="m140.5 51.8 12.9-3.1-13-.7 10.6-8-12 4.3 8.1-11.3-11.3 7.5 3.9-13.2-7.7 10.9-.2-13.8-5.1 12.3-4.2-12.4.2 14.6-7.3-13.1 4 13.9-11.9-8.6 9.3 11.7-14.8-5.4 11.6 8.6-14.9.5 15.3 3.9-15.3 3.3 15.1 1.1-12.7 8.1 13.1-4.7-9.1 11.5 11.5-9.3-4.1 15.4 8.9-12.6-1.2 14.8 5-13.5 4.3 14.1 1-14.2 6.4 12.1-3.8-13.8 11.6 9-7.5-11.5 12.8 5-9.8-9.6 13.1 1-12.8-4.8Z"
+    />
+    <path
+      fill="#373535"
+      fill-opacity=".35"
+      d="M2.8 76.5C42.9 36.4 74.9 24 104 18.4c3.8-.7 4.6-9.2 4.6-9.2s.5 6.2 3.2 7c2.7.8 6.2-9.7 6.2-9.7s-3.2 9.4 0 10c3.2.5 9.2-9.2 9.2-9.2s-2.4 8.3-.8 8.9c1.6.5 9.7-12.1 9.7-12.1s-4.8 8.3-.3 9.2c4.6.8 11.3-5.7 11.3-5.7s-5.2 5.9-2.9 6.8c10 3.5 18-9.4 18-9.4s-1.9 5.7-6.7 11.9c10.5 2.7 18.3-13.1 18.3-13.1L166 19.6c4 2 20.1-16.6 20.1-16.6s-8.3 14.5-13.2 17.5c2.7 2.2 12.4-6.5 12.4-6.5s-7.8 9.7-4.8 10.2c4.3 3.5 20.2-18 20.2-18s-6.2 12.7-15.3 22.6C193 32.7 212 8.2 212 8.2s-.5 7.8-14.3 20.2c10.2-1.3 23.4-20.7 23.4-20.7s-4.8 14.5-16.4 24.8c10-1 26.1-25.8 26.1-25.8s-6.2 17.2-18.8 27.2c14 3.1 34.2-17.8 34.2-17.8s-7.9 14.8-18.3 20.9c11.6 4.4 27.5-13.9 27.5-13.9s-15.9 24.5-41.2 23.4c-8.3-.4-33.4-25.2-87.2-23.2C55.8 25.9 40.8 56.1 2.8 76.5"
+    />
+    <path
+      fill="#373535"
+      d="M4.4 73.5C44.5 33.4 76.5 21 105.6 15.4c3.8-.7 4.6-9.2 4.6-9.2s.5 6.2 3.2 7c2.7.8 6.2-9.7 6.2-9.7s-3.2 9.4 0 10c3.2.5 9.2-9.2 9.2-9.2s-2.4 8.3-.8 8.9c1.6.5 9.7-12.1 9.7-12.1s-4.8 8.3-.3 9.2c4.6.8 11.3-5.7 11.3-5.7s-5.2 5.9-2.9 6.8c10 3.5 18-9.4 18-9.4s-1.9 5.7-6.7 11.9C167.6 16.6 175.4.8 175.4.8l-7.8 15.8c4 2.2 20.2-16.4 20.2-16.4s-8.3 14.5-13.2 17.5C177.3 19.6 187 11 187 11s-7.8 9.7-4.8 10.2c4.3 3.5 20.2-18 20.2-18s-6.3 12.7-15.4 22.6c7.6 3.8 26.7-20.7 26.7-20.7s-.5 7.8-14.3 20.2c10.2-1.3 23.4-20.7 23.4-20.7s-4.8 14.5-16.4 24.8c10-1 26.1-25.8 26.1-25.8s-6.2 17.2-18.8 27.2c14 3.1 34.2-17.8 34.2-17.8s-7.9 14.8-18.3 20.9c11.6 4.4 27.5-13.9 27.5-13.9s-15.9 24.5-41.2 23.4c-8.3-.4-33.4-25.2-87.2-23.2C57.5 22.9 42.4 53 4.4 73.5"
+    />
+    <path
+      fill="#373535"
+      fill-opacity=".35"
+      d="M1.8 80.9c21.2 10.6 40.6-1.6 65 5.3 18.6 5.2 41.2 11.7 71.9 7.2 30.7-4.4 56.9-17.8 69.5-41.6 3.9-10.6 19.8 2.4 19.8 2.4s-11.6-4.8-11.3-2.6c.3 2.3 17.4 10.2 17.4 10.2s-15.5-4.8-14.5-1.2c.9 3.6 19.4 18.2 19.4 18.2S217.9 63 216.2 65.2c-1.8 2.2 8.9 10.9 8.9 10.9s-17.6-10.9-23.8-7.7c-4.5 2.3 18.3 17.2 18.3 17.2s-14.8-11.3-18.3-8.3 16.7 27.2 16.7 27.2-23-24.8-25.3-23.6C190.4 82.1 199 94 199 94s-11.2-12.4-14.3-10.3c-3.1 2.2 16.2 34.3 16.2 34.3S180 85.1 171.3 90.6c13.5 29.7 8.5 33.9 8.5 33.9s-1.7-30.3-18.6-29.5c-8.5.4 4 22.6 4 22.6S153.7 97.3 146 97.7c14.1 26.8 9.1 37.6 9.1 37.6s2.3-22.9-16.8-35.6c7.3 6.5-4.6 35.6-4.6 35.6s10.4-42.9-7.7-34.7c-2.9 1.3-.2 21.4-.2 21.4s-3.6-23-9.1-21.8c-3.2.7-20.2 31.9-20.2 31.9s13.9-33.7 9.7-32.3c-3.1 1-8.9 14.9-8.9 14.9s2.8-13.7 0-14.5c-2.8-.8-18.6 14.5-18.6 14.5s11.7-13.7 9.7-16.6c-3.1-4.3-6.6-4.5-10.9-2.8C71.3 97.7 63 109 63 109s8.3-11.5 6.9-15.7c-2.3-6.9-26.2 13.3-26.2 13.3s14.1-13.3 10.9-16.2c-3.2-2.8-20.8-2-26.2-2-16.1.2-21.7-3.6-26.6-7.5"
+    />
+    <path
+      fill="#373535"
+      d="M.9 78.5c21.2 10.6 40.6-1.6 65 5.3 18.6 5.2 41.2 11.7 71.9 7.2 30.7-4.4 56.9-17.8 69.5-41.6 3.9-10.6 19.8 2.4 19.8 2.4s-11.6-4.8-11.3-2.6c.3 2.3 17.4 10.2 17.4 10.2s-15.5-4.8-14.5-1.2c.9 3.6 19.4 18.2 19.4 18.2s-20.9-15.9-22.6-13.7c-1.7 2.2 8.9 10.9 8.9 10.9s-17.6-10.9-23.8-7.7c-4.5 2.3 18.3 17.2 18.3 17.2s-14.8-11.3-18.3-8.3 16.7 27.2 16.7 27.2-22.9-24.8-25.2-23.6c-2.3 1.2 6.3 13.1 6.3 13.1S187 79.2 183.9 81.3c-3.1 2.2 16.1 34.3 16.1 34.3s-20.9-33-29.5-27.5c13.6 29.8 8.5 34 8.5 34s-1.7-30.3-18.6-29.5c-8.5.4 4 22.6 4 22.6S153 95 145.3 95.4c14.1 26.8 9.1 37.6 9.1 37.6s2.3-22.9-16.8-35.6c7.3 6.5-4.6 35.6-4.6 35.6s10.4-42.9-7.7-34.7c-2.9 1.3-.2 21.4-.2 21.4s-3.6-23-9.1-21.8c-3.2.7-20.2 31.9-20.2 31.9s13.9-33.7 9.7-32.3c-3.1 1-8.9 14.9-8.9 14.9s2.8-13.7 0-14.5c-2.8-.8-18.6 14.5-18.6 14.5s11.7-13.7 9.7-16.6c-3.1-4.3-6.6-4.5-10.9-2.8-6.2 2.4-14.5 13.7-14.5 13.7s8.3-11.5 6.9-15.7C66.9 84.1 43 104.3 43 104.3S57.1 91 53.9 88.1c-3.2-2.8-20.8-2-26.2-2-16.3.1-21.9-3.7-26.8-7.6"
+    />
+  </svg>
+);
+export default CassandraSVG;
diff --git a/src/frontend/src/icons/Cassandra/cassandra.svg b/src/frontend/src/icons/Cassandra/cassandra.svg
new file mode 100644
index 00000000000..6d6cdf02476
--- /dev/null
+++ b/src/frontend/src/icons/Cassandra/cassandra.svg
@@ -0,0 +1,35 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" preserveAspectRatio="xMidYMid" viewBox="0 -43.5 256 256">
+    <g fill="#373535">
+        <path
+            d="M30.9 142.2c2.2 0 4.2.5 5.3 1.5.2 1.6-1.3 4.2-2.2 4.2-1.1-.4-2.1-.6-3.4-.6-5.2 0-7.8 5.4-7.8 10.7 0 3.3 1.1 5.3 3.8 5.3 2.8 0 5.6-1.9 7.2-3.3.4.3.9 1.2.9 2.2 0 1.1-.3 2.2-1.4 3.3-1.8 1.8-4.9 3.4-9.4 3.4-5.1 0-8.7-2.9-8.7-9.7.2-9 6-17 15.7-17ZM47.7 163c2.8 0 7.9-4.9 9.3-14.3.1-.6.1-.7.2-1.3-.6-.2-1.5-.4-2.3-.4-2.1 0-4.3.6-6.2 3.3-2 2.8-2.9 6.3-2.9 9.1 0 2.3.7 3.6 1.9 3.6Zm-9.2-2.6c0-3.4 1.1-9.2 5.4-13.5 3.7-3.8 8.1-4.7 12.2-4.7 2.7 0 6.3.9 8.6 1.3-.6 2.5-1.9 12-2.6 17.5-.3 2.3-.4 5.6-.3 6.8-1.9.8-5.4 1-6.4 1-.5 0-.6-2.3-.5-4.6.1-.7.2-1.8.2-2.3-2.2 3.7-6.6 6.8-11.2 6.8-3.3.1-5.4-2.7-5.4-8.3ZM78.9 142.2c2.3 0 4.6.9 5.6 1.9-.1 1.6-1.3 4.3-3.3 3.5-.9-.3-1.7-.5-2.9-.5-1.5 0-2.9.7-2.9 2.1 0 1.1.8 1.9 4.6 4.6 2.7 2 3.8 3.8 3.8 6.3 0 4.2-3.9 8.7-10.8 8.7-2.8 0-5.3-1.1-6-2.2-1-1.7-.2-5.1.9-4.5 1.5.7 3.9 1.5 5.9 1.5 1.9 0 3.1-.9 3.1-2 0-1-.9-1.8-4.3-4.3-2.9-2.2-3.8-4.2-3.8-6.4 0-4.8 4.1-8.7 10.1-8.7ZM98.6 142.2c2.3 0 4.6.9 5.6 1.9-.1 1.6-1.3 4.3-3.3 3.5-.9-.3-1.7-.5-2.9-.5-1.5 0-2.9.7-2.9 2.1 0 1.1.8 1.9 4.6 4.6 2.7 2 3.8 3.8 3.8 6.3 0 4.2-3.9 8.7-10.8 8.7-2.8 0-5.2-1.1-6-2.2-1-1.7-.2-5.1.9-4.5 1.5.7 3.9 1.5 5.9 1.5 1.9 0 3.1-.9 3.1-2 0-1-.9-1.8-4.3-4.3-2.9-2.2-3.8-4.2-3.8-6.4 0-4.8 4.1-8.7 10.1-8.7ZM116.5 163c2.8 0 7.9-4.9 9.3-14.3.1-.6.1-.7.2-1.3-.6-.2-1.5-.4-2.3-.4-2.1 0-4.3.6-6.2 3.3-2 2.8-2.9 6.3-2.9 9.1.1 2.3.7 3.6 1.9 3.6Zm-9.2-2.6c0-3.4 1.1-9.2 5.4-13.5 3.7-3.8 8.1-4.7 12.2-4.7 2.7 0 6.3.9 8.6 1.3-.6 2.5-1.9 12-2.6 17.5-.3 2.3-.4 5.6-.3 6.8-1.9.8-5.4 1-6.4 1-.5 0-.6-2.3-.5-4.6.1-.7.2-1.8.2-2.3-2.2 3.7-6.6 6.8-11.2 6.8-3.2.1-5.4-2.7-5.4-8.3ZM146.4 149.6c2.6-4.2 6-7.4 10.8-7.4 4.1 0 5.4 3.8 4.6 9.1-.4 2.5-1.1 6.1-1.5 9.4-.4 2.8-.7 5.3-.6 7-1.5.7-5.8 1-6.8 1-.4 0-.5-3.1.1-6.4.5-2.7 1.4-7.7 1.9-10.6.3-1.7.2-3.7-1.4-3.7-2.1 0-7.1 3.4-9.6 17.2-.2 1.1-.6 1.8-1.3 2.2-.9.5-2.7 1-6.4 1 .7-3.5 1.8-10.6 2.6-15.9.7-4.8 1-7.9.9-9.1 1-.3 6.1-1.4 6.6-1.4.6 0 .7 1.8.2 6-.1.4-.1 1-.2 1.4h.1v.2ZM175.4 162.9c2.5 0 7.6-4.7 9-13 .1-.5.2-1.3.3-1.8-.7-.7-1.7-1.1-3.3-1.1-5.8 0-8.3 6.9-8.3 11.9.1 2.6 1 4 2.3 4Zm-3.7 5.9c-3.7 0-5.9-3.3-5.9-8.8 0-9.2 5.8-17.7 15.5-17.7 1.7 0 3.3.5 4.2 1 .5-2.6 1.7-10.7 1.8-13.1 1.6-.3 5-.8 6.6-.8.6 0 .8.6.6 2.1-1.4 8.6-3.8 25-4.3 28.6-.3 3.1-.4 6.1-.3 7.8-1.8.8-5.5 1-6.5 1-.4 0-.6-2.6-.5-5 .1-.7.2-1.8.2-2-3.1 4.6-7 6.9-11.4 6.9ZM205.1 150.4c3-6.7 6.6-8.2 9-8.2.7 0 1.9.5 2.4 1 .2 1.9-1.3 5.6-2.6 7.1-.7-.3-1.5-.7-2.5-.7-1.9 0-5.8 3-8.2 16-.2 1.1-.5 1.5-1.1 1.8-1 .6-4.8 1-6.6 1.1.9-4.7 2.3-14.2 2.9-19.8.2-1.4.2-4.1.1-5.1 1.1-.5 5.4-1.5 6.3-1.5.5 0 .9 3.1.1 8.2h.2v.1ZM225.2 163c2.8 0 7.9-4.9 9.3-14.3.1-.6.1-.7.2-1.3-.6-.2-1.5-.4-2.3-.4-2.1 0-4.3.6-6.2 3.3-2 2.8-2.9 6.3-2.9 9.1.1 2.3.7 3.6 1.9 3.6Zm-9.2-2.6c0-3.4 1.1-9.2 5.4-13.5 3.7-3.8 8.1-4.7 12.2-4.7 2.7 0 6.3.9 8.6 1.3-.6 2.5-1.9 12-2.6 17.5-.3 2.3-.4 5.6-.3 6.8-1.9.8-5.4 1-6.4 1-.5 0-.6-2.3-.5-4.6.1-.7.2-1.8.2-2.3-2.2 3.7-6.6 6.8-11.2 6.8-3.2.1-5.4-2.7-5.4-8.3Z" />
+    </g>
+    <path fill="#BBE6FB"
+        d="M205.5 45.5c1.9 21.9-32.6 42.8-77.1 46.6-44.5 3.8-82-10.9-83.9-32.8-1.9-21.9 32.6-42.8 77.1-46.6 44.4-3.8 82 10.8 83.9 32.8" />
+    <path fill="#FFF"
+        d="M122.8 15.2c-17-.3-36.8 6.5-51.6 12.8-1.5 4.4-2.4 9.1-2.4 14 0 26 23.5 47.1 52.5 47.1s52.6-21 52.6-47.1c0-8.2-2.4-16-6.5-22.7-11.8-1.8-28.1-3.8-44.6-4.1" />
+    <path fill="#FFF"
+        d="M121.4 15.2c-9.4-.6-25.6 4.3-39.1 9.2-2.1 4.8-3.2 10.1-3.2 15.7 0 22.8 20.7 41.3 42.5 41.3 21.7 0 40.9-18.5 42.5-41.3.5-7.4-2-14.4-5.6-20.4-13.9-2.4-28.7-3.9-37.1-4.5" />
+    <path fill="#373535"
+        d="M97.3 37.2c1.2-2.6 2.9-3.8 4.6-5.9-.2-.5-.6-2.2-.6-2.7 0-2.6 2.1-4.6 4.6-4.6.6 0 1.2.1 1.7.3 7.7-5.9 17.8-8.4 28-6.1.9.2 1.8.5 2.7.7-10-1.4-21.4 2.2-29.1 8.4.2.6.9 2.1.9 2.8 0 2.6-1.7 3.2-4.2 3.2-.6 0-1.1-.1-1.7-.3-1.7 2.3-3.9 6.8-4.9 9.6 4.3 3.8 8.1 5.2 13.1 7.1 0-.2.2-.5.2-.7 0-7.7 6.8-14 14.5-14 6.9 0 12.7 5 13.8 11.6 3.5-2.2 6.8-3.9 9.3-7.1-.6-.7-1.2-2.8-1.2-3.8 0-2.3 1.9-4.2 4.2-4.2.3 0 .6 0 1 .1 1.3-2.7 2.3-5.5 2.9-8.4-12.1-9-35.5-7.7-35.5-7.7s-18.6-1-31.2 5.2c.9 5.8 3.3 11.6 6.9 16.5" />
+    <path fill="#373535"
+        d="M155.1 33.7c.9.8 1.3 1.4 1.7 2.1 1.1 2-1.1 3.9-3.5 3.9-.2 0-.5 0-.7-.1-2.6 4.1-7.2 9.3-11.3 12 6.3 1 12.2 3.5 16.8 7.4 3.4-6.1 6-15 6-22.5 0-5.7-2.5-9.9-6.3-13-.1 3.1-1.8 7.4-2.7 10.2M104.3 72.5c2.1-5.8 7.2-10.2 12.1-14.1-.7-1-1.8-3.4-2.2-4.5-5.9-1.8-11.1-5.2-15.2-9.6 0 .1-.1.3-.1.4-.8 3.4-.9 6.9-.5 10.2 2.8.5 5 3 5 6 0 1.8-1.6 4.3-2.8 5.5 1.2 2.6 2.1 4 3.7 6.1" />
+    <path fill="#373535"
+        d="M103.9 77.3c-2.5-2.5-4.2-7.4-5.8-10.5-.3 0-.6.1-.9.1-3.4 0-6.9-2.8-6.1-6.1.4-1.8 1.7-3 3.7-4-.5-3.8-.6-9.1.3-13 .2-1.1.8-1.6 1.1-2.7-3.7-5.4-6.1-12.6-6.1-19.7v-.8c-6.3 3.2-11 8.1-11 15.9 0 17.3 10 34.3 24.8 40.9v-.1M140.4 53.4c-1.9 5.4-7.1 9.4-13.2 9.4-3.3 0-6.3-1.1-8.6-3-4.9 3.8-9.4 10.5-11.6 16.4 1 1.1 1.7 2 2.9 3 3.4.9 8.2 0 11.9 0 14.9 0 28.2-6.6 35.8-18.3-5.2-3.6-11.2-7-17.2-7.5" />
+    <path fill="#1287B1"
+        d="M96.9 39.2c1.2-2.6 2.6-4.9 4.3-7.1-.2-.5-.3-1.1-.3-1.6 0-2.6 2.1-4.6 4.6-4.6.6 0 1.2.1 1.7.3 7.7-5.9 17.8-8.4 28-6.1.9.2 1.8.5 2.7.7-10-1.4-20.4 1.7-28.1 7.9.2.6.4 1.2.4 1.8 0 2.6-2.1 4.6-4.6 4.6-.6 0-1.1-.1-1.7-.3-1.7 2.3-3.2 4.9-4.2 7.7 3.7 3.9 8.2 7.1 13.2 8.9v-.7c0-7.7 6.3-14 14-14 6.9 0 12.7 5 13.8 11.6 3.5-2.2 6.5-5 9.1-8.3-.6-.7-1-1.6-1-2.6 0-2.3 1.9-4.2 4.2-4.2.3 0 .6 0 1 .1 1.3-2.7 2.3-5.5 2.9-8.4-12.1-9-35.5-7.7-35.5-7.7s-18.6-1-31.2 5.2c.7 6.1 3.1 11.9 6.7 16.8" />
+    <path fill="#1287B1"
+        d="M155.7 34.4c.9.8 1.4 1.9 1.4 3.1 0 2.3-1.9 4.2-4.2 4.2-.2 0-.5 0-.7-.1-2.6 4.1-6.1 7.6-10.2 10.2 6 .9 11.7 3.5 16.4 7.4 3.4-6.1 5.4-13.2 5.4-20.7 0-5.7-2.5-9.9-6.3-13-.2 3.1-.8 6.1-1.8 8.9M104.9 73.8c2.1-5.8 5.7-10.9 10.6-14.8-.7-1-1.3-2-1.7-3.2-5.9-1.8-11.1-5.2-15.2-9.6 0 .1-.1.3-.1.4-.8 3.4-.9 6.9-.5 10.2 2.8.5 5 3 5 6 0 1.8-.8 3.4-2 4.5 1 2.3 2.4 4.5 3.9 6.5" />
+    <path fill="#1287B1"
+        d="M103.9 77.2c-2.5-2.5-4.6-5.3-6.2-8.4-.3 0-.6.1-.9.1-3.4 0-6.1-2.7-6.1-6.1 0-2.4 1.4-4.5 3.4-5.5-.5-3.8-.3-7.6.6-11.5.2-1.1.6-2.2.9-3.3-3.7-5.4-5.9-12-5.9-19.1v-.8c-6.3 3.2-11 8.1-11 15.9 0 17.3 10.3 32.2 25.1 38.8.1 0 .1 0 .1-.1M140 55.4c-1.9 5.4-7.1 9.4-13.2 9.4-3.3 0-6.3-1.1-8.6-3-4.9 3.8-8.6 9-10.9 14.9 1 1.1 2.1 2.1 3.2 3.1 3.4.9 7 1.4 10.7 1.4 14.9 0 28.1-7.7 35.7-19.4-5-3.6-10.9-5.9-16.9-6.4" />
+    <path fill="#FFF"
+        d="m140.5 51.8 12.9-3.1-13-.7 10.6-8-12 4.3 8.1-11.3-11.3 7.5 3.9-13.2-7.7 10.9-.2-13.8-5.1 12.3-4.2-12.4.2 14.6-7.3-13.1 4 13.9-11.9-8.6 9.3 11.7-14.8-5.4 11.6 8.6-14.9.5 15.3 3.9-15.3 3.3 15.1 1.1-12.7 8.1 13.1-4.7-9.1 11.5 11.5-9.3-4.1 15.4 8.9-12.6-1.2 14.8 5-13.5 4.3 14.1 1-14.2 6.4 12.1-3.8-13.8 11.6 9-7.5-11.5 12.8 5-9.8-9.6 13.1 1-12.8-4.8Z" />
+    <path fill="#373535" fill-opacity=".35"
+        d="M2.8 76.5C42.9 36.4 74.9 24 104 18.4c3.8-.7 4.6-9.2 4.6-9.2s.5 6.2 3.2 7c2.7.8 6.2-9.7 6.2-9.7s-3.2 9.4 0 10c3.2.5 9.2-9.2 9.2-9.2s-2.4 8.3-.8 8.9c1.6.5 9.7-12.1 9.7-12.1s-4.8 8.3-.3 9.2c4.6.8 11.3-5.7 11.3-5.7s-5.2 5.9-2.9 6.8c10 3.5 18-9.4 18-9.4s-1.9 5.7-6.7 11.9c10.5 2.7 18.3-13.1 18.3-13.1L166 19.6c4 2 20.1-16.6 20.1-16.6s-8.3 14.5-13.2 17.5c2.7 2.2 12.4-6.5 12.4-6.5s-7.8 9.7-4.8 10.2c4.3 3.5 20.2-18 20.2-18s-6.2 12.7-15.3 22.6C193 32.7 212 8.2 212 8.2s-.5 7.8-14.3 20.2c10.2-1.3 23.4-20.7 23.4-20.7s-4.8 14.5-16.4 24.8c10-1 26.1-25.8 26.1-25.8s-6.2 17.2-18.8 27.2c14 3.1 34.2-17.8 34.2-17.8s-7.9 14.8-18.3 20.9c11.6 4.4 27.5-13.9 27.5-13.9s-15.9 24.5-41.2 23.4c-8.3-.4-33.4-25.2-87.2-23.2C55.8 25.9 40.8 56.1 2.8 76.5" />
+    <path fill="#373535"
+        d="M4.4 73.5C44.5 33.4 76.5 21 105.6 15.4c3.8-.7 4.6-9.2 4.6-9.2s.5 6.2 3.2 7c2.7.8 6.2-9.7 6.2-9.7s-3.2 9.4 0 10c3.2.5 9.2-9.2 9.2-9.2s-2.4 8.3-.8 8.9c1.6.5 9.7-12.1 9.7-12.1s-4.8 8.3-.3 9.2c4.6.8 11.3-5.7 11.3-5.7s-5.2 5.9-2.9 6.8c10 3.5 18-9.4 18-9.4s-1.9 5.7-6.7 11.9C167.6 16.6 175.4.8 175.4.8l-7.8 15.8c4 2.2 20.2-16.4 20.2-16.4s-8.3 14.5-13.2 17.5C177.3 19.6 187 11 187 11s-7.8 9.7-4.8 10.2c4.3 3.5 20.2-18 20.2-18s-6.3 12.7-15.4 22.6c7.6 3.8 26.7-20.7 26.7-20.7s-.5 7.8-14.3 20.2c10.2-1.3 23.4-20.7 23.4-20.7s-4.8 14.5-16.4 24.8c10-1 26.1-25.8 26.1-25.8s-6.2 17.2-18.8 27.2c14 3.1 34.2-17.8 34.2-17.8s-7.9 14.8-18.3 20.9c11.6 4.4 27.5-13.9 27.5-13.9s-15.9 24.5-41.2 23.4c-8.3-.4-33.4-25.2-87.2-23.2C57.5 22.9 42.4 53 4.4 73.5" />
+    <path fill="#373535" fill-opacity=".35"
+        d="M1.8 80.9c21.2 10.6 40.6-1.6 65 5.3 18.6 5.2 41.2 11.7 71.9 7.2 30.7-4.4 56.9-17.8 69.5-41.6 3.9-10.6 19.8 2.4 19.8 2.4s-11.6-4.8-11.3-2.6c.3 2.3 17.4 10.2 17.4 10.2s-15.5-4.8-14.5-1.2c.9 3.6 19.4 18.2 19.4 18.2S217.9 63 216.2 65.2c-1.8 2.2 8.9 10.9 8.9 10.9s-17.6-10.9-23.8-7.7c-4.5 2.3 18.3 17.2 18.3 17.2s-14.8-11.3-18.3-8.3 16.7 27.2 16.7 27.2-23-24.8-25.3-23.6C190.4 82.1 199 94 199 94s-11.2-12.4-14.3-10.3c-3.1 2.2 16.2 34.3 16.2 34.3S180 85.1 171.3 90.6c13.5 29.7 8.5 33.9 8.5 33.9s-1.7-30.3-18.6-29.5c-8.5.4 4 22.6 4 22.6S153.7 97.3 146 97.7c14.1 26.8 9.1 37.6 9.1 37.6s2.3-22.9-16.8-35.6c7.3 6.5-4.6 35.6-4.6 35.6s10.4-42.9-7.7-34.7c-2.9 1.3-.2 21.4-.2 21.4s-3.6-23-9.1-21.8c-3.2.7-20.2 31.9-20.2 31.9s13.9-33.7 9.7-32.3c-3.1 1-8.9 14.9-8.9 14.9s2.8-13.7 0-14.5c-2.8-.8-18.6 14.5-18.6 14.5s11.7-13.7 9.7-16.6c-3.1-4.3-6.6-4.5-10.9-2.8C71.3 97.7 63 109 63 109s8.3-11.5 6.9-15.7c-2.3-6.9-26.2 13.3-26.2 13.3s14.1-13.3 10.9-16.2c-3.2-2.8-20.8-2-26.2-2-16.1.2-21.7-3.6-26.6-7.5" />
+    <path fill="#373535"
+        d="M.9 78.5c21.2 10.6 40.6-1.6 65 5.3 18.6 5.2 41.2 11.7 71.9 7.2 30.7-4.4 56.9-17.8 69.5-41.6 3.9-10.6 19.8 2.4 19.8 2.4s-11.6-4.8-11.3-2.6c.3 2.3 17.4 10.2 17.4 10.2s-15.5-4.8-14.5-1.2c.9 3.6 19.4 18.2 19.4 18.2s-20.9-15.9-22.6-13.7c-1.7 2.2 8.9 10.9 8.9 10.9s-17.6-10.9-23.8-7.7c-4.5 2.3 18.3 17.2 18.3 17.2s-14.8-11.3-18.3-8.3 16.7 27.2 16.7 27.2-22.9-24.8-25.2-23.6c-2.3 1.2 6.3 13.1 6.3 13.1S187 79.2 183.9 81.3c-3.1 2.2 16.1 34.3 16.1 34.3s-20.9-33-29.5-27.5c13.6 29.8 8.5 34 8.5 34s-1.7-30.3-18.6-29.5c-8.5.4 4 22.6 4 22.6S153 95 145.3 95.4c14.1 26.8 9.1 37.6 9.1 37.6s2.3-22.9-16.8-35.6c7.3 6.5-4.6 35.6-4.6 35.6s10.4-42.9-7.7-34.7c-2.9 1.3-.2 21.4-.2 21.4s-3.6-23-9.1-21.8c-3.2.7-20.2 31.9-20.2 31.9s13.9-33.7 9.7-32.3c-3.1 1-8.9 14.9-8.9 14.9s2.8-13.7 0-14.5c-2.8-.8-18.6 14.5-18.6 14.5s11.7-13.7 9.7-16.6c-3.1-4.3-6.6-4.5-10.9-2.8-6.2 2.4-14.5 13.7-14.5 13.7s8.3-11.5 6.9-15.7C66.9 84.1 43 104.3 43 104.3S57.1 91 53.9 88.1c-3.2-2.8-20.8-2-26.2-2-16.3.1-21.9-3.7-26.8-7.6" />
+</svg>
\ No newline at end of file
diff --git a/src/frontend/src/icons/Cassandra/index.tsx b/src/frontend/src/icons/Cassandra/index.tsx
new file mode 100644
index 00000000000..7fe917b72f4
--- /dev/null
+++ b/src/frontend/src/icons/Cassandra/index.tsx
@@ -0,0 +1,9 @@
+import React, { forwardRef } from "react";
+import CassandraSVG from "./Cassandra";
+
+export const CassandraIcon = forwardRef<
+  SVGSVGElement,
+  React.PropsWithChildren<{}>
+>((props, ref) => {
+  return <CassandraSVG ref={ref} {...props} />;
+});
diff --git a/src/frontend/src/icons/Couchbase/Couchbase.jsx b/src/frontend/src/icons/Couchbase/Couchbase.jsx
new file mode 100644
index 00000000000..9259aae60ab
--- /dev/null
+++ b/src/frontend/src/icons/Couchbase/Couchbase.jsx
@@ -0,0 +1,17 @@
+const SvgCouchbaseIcon = (props) => (
+  <svg
+    xmlns="http://www.w3.org/2000/svg"
+    width="1em"
+    height="1em"
+    preserveAspectRatio="xMidYMid"
+    viewBox="0 0 256 256"
+    {...props}
+  >
+    <path
+      fill="#ED2226"
+      d="M128 0C57.426 0 0 57.233 0 128c0 70.574 57.233 128 128 128 70.574 0 128-57.233 128-128S198.574 0 128 0zm86.429 150.429c0 7.734-4.447 14.502-13.148 16.048-15.082 2.707-46.792 4.254-73.281 4.254-26.49 0-58.2-1.547-73.281-4.254-8.7-1.546-13.148-8.314-13.148-16.048v-49.885c0-7.734 5.994-14.888 13.148-16.049 4.447-.773 14.888-1.546 23.01-1.546 3.093 0 5.606 2.32 5.606 5.994v34.997l44.858-.967 44.858.967V88.943c0-3.674 2.514-5.994 5.608-5.994 8.12 0 18.562.773 23.009 1.546 7.347 1.16 13.148 8.315 13.148 16.049-.387 16.435-.387 33.257-.387 49.885z"
+    />
+  </svg>
+);
+
+export default SvgCouchbaseIcon;
diff --git a/src/frontend/src/icons/Couchbase/couchbase.svg b/src/frontend/src/icons/Couchbase/couchbase.svg
new file mode 100644
index 00000000000..6c86a8a9c4c
--- /dev/null
+++ b/src/frontend/src/icons/Couchbase/couchbase.svg
@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="2500" height="2500" preserveAspectRatio="xMidYMid" viewBox="0 0 256 256" id="couchbase"><path fill="#ED2226" d="M128 0C57.426 0 0 57.233 0 128c0 70.574 57.233 128 128 128 70.574 0 128-57.233 128-128S198.574 0 128 0zm86.429 150.429c0 7.734-4.447 14.502-13.148 16.048-15.082 2.707-46.792 4.254-73.281 4.254-26.49 0-58.2-1.547-73.281-4.254-8.7-1.546-13.148-8.314-13.148-16.048v-49.885c0-7.734 5.994-14.888 13.148-16.049 4.447-.773 14.888-1.546 23.01-1.546 3.093 0 5.606 2.32 5.606 5.994v34.997l44.858-.967 44.858.967V88.943c0-3.674 2.514-5.994 5.608-5.994 8.12 0 18.562.773 23.009 1.546 7.347 1.16 13.148 8.315 13.148 16.049-.387 16.435-.387 33.257-.387 49.885z"></path></svg>
\ No newline at end of file
diff --git a/src/frontend/src/icons/Couchbase/index.tsx b/src/frontend/src/icons/Couchbase/index.tsx
new file mode 100644
index 00000000000..85149c20433
--- /dev/null
+++ b/src/frontend/src/icons/Couchbase/index.tsx
@@ -0,0 +1,9 @@
+import React, { forwardRef } from "react";
+import SvgCouchbaseIcon from "./Couchbase";
+
+export const CouchbaseIcon = forwardRef<
+  SVGSVGElement,
+  React.PropsWithChildren<{}>
+>((props, ref) => {
+  return <SvgCouchbaseIcon ref={ref} {...props} />;
+});
diff --git a/src/frontend/src/icons/FacebookMessenger/index.tsx b/src/frontend/src/icons/FacebookMessenger/index.tsx
index 621e5b7667f..5264b376d7a 100644
--- a/src/frontend/src/icons/FacebookMessenger/index.tsx
+++ b/src/frontend/src/icons/FacebookMessenger/index.tsx
@@ -4,5 +4,5 @@ import SvgFacebookMessengerLogo2020 from "./FacebookMessengerLogo2020";
 export const FBIcon = forwardRef<SVGSVGElement, React.PropsWithChildren<{}>>(
   (props, ref) => {
     return <SvgFacebookMessengerLogo2020 ref={ref} {...props} />;
-  }
+  },
 );
diff --git a/src/frontend/src/icons/GoogleGenerativeAI/Google Gemini icon.svg b/src/frontend/src/icons/GoogleGenerativeAI/Google Gemini icon.svg
new file mode 100644
index 00000000000..787c8371079
--- /dev/null
+++ b/src/frontend/src/icons/GoogleGenerativeAI/Google Gemini icon.svg	
@@ -0,0 +1 @@
+<svg fill="none" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 16 16"><path d="M16 8.016A8.522 8.522 0 008.016 16h-.032A8.521 8.521 0 000 8.016v-.032A8.521 8.521 0 007.984 0h.032A8.522 8.522 0 0016 7.984v.032z" fill="url(#prefix__paint0_radial_980_20147)"/><defs><radialGradient id="prefix__paint0_radial_980_20147" cx="0" cy="0" r="1" gradientUnits="userSpaceOnUse" gradientTransform="matrix(16.1326 5.4553 -43.70045 129.2322 1.588 6.503)"><stop offset=".067" stop-color="#9168C0"/><stop offset=".343" stop-color="#5684D1"/><stop offset=".672" stop-color="#1BA1E3"/></radialGradient></defs></svg>
\ No newline at end of file
diff --git a/src/frontend/src/icons/GoogleGenerativeAI/GoogleGemini.jsx b/src/frontend/src/icons/GoogleGenerativeAI/GoogleGemini.jsx
new file mode 100644
index 00000000000..e88c9cf0025
--- /dev/null
+++ b/src/frontend/src/icons/GoogleGenerativeAI/GoogleGemini.jsx
@@ -0,0 +1,28 @@
+const SvgGoogleGenerativeAI = (props) => (
+  <svg
+    fill="none"
+    xmlns="http://www.w3.org/2000/svg"
+    viewBox="0 0 16 16"
+    {...props}
+  >
+    <path
+      d="M16 8.016A8.522 8.522 0 008.016 16h-.032A8.521 8.521 0 000 8.016v-.032A8.521 8.521 0 007.984 0h.032A8.522 8.522 0 0016 7.984v.032z"
+      fill="url(#prefix__paint0_radial_980_20147)"
+    />
+    <defs>
+      <radialGradient
+        id="prefix__paint0_radial_980_20147"
+        cx="0"
+        cy="0"
+        r="1"
+        gradientUnits="userSpaceOnUse"
+        gradientTransform="matrix(16.1326 5.4553 -43.70045 129.2322 1.588 6.503)"
+      >
+        <stop offset=".067" stop-color="#9168C0" />
+        <stop offset=".343" stop-color="#5684D1" />
+        <stop offset=".672" stop-color="#1BA1E3" />
+      </radialGradient>
+    </defs>
+  </svg>
+);
+export default SvgGoogleGenerativeAI;
diff --git a/src/frontend/src/icons/GoogleGenerativeAI/index.tsx b/src/frontend/src/icons/GoogleGenerativeAI/index.tsx
new file mode 100644
index 00000000000..2123f129d22
--- /dev/null
+++ b/src/frontend/src/icons/GoogleGenerativeAI/index.tsx
@@ -0,0 +1,9 @@
+import React, { forwardRef } from "react";
+import SvgGoogleGenerativeAI from "./GoogleGemini";
+
+export const GoogleGenerativeAIIcon = forwardRef<
+  SVGSVGElement,
+  React.PropsWithChildren<{}>
+>((props, ref) => {
+  return <SvgGoogleGenerativeAI ref={ref} {...props} />;
+});
diff --git a/src/frontend/src/icons/GradientSparkles/index.tsx b/src/frontend/src/icons/GradientSparkles/index.tsx
index 470708f894b..31d939f3df2 100644
--- a/src/frontend/src/icons/GradientSparkles/index.tsx
+++ b/src/frontend/src/icons/GradientSparkles/index.tsx
@@ -56,7 +56,11 @@ export const GradientGroup = (props) => {
           </linearGradient>
         </defs>
       </svg>
-      <ForwardedIconComponent name="Combine" stroke="url(#grad3)" {...props} />
+      <ForwardedIconComponent
+        name="Combine"
+        stroke={`${props.disabled ? "#64748B" : "url(#grad3)"}`}
+        {...props}
+      />
     </>
   );
 };
diff --git a/src/frontend/src/icons/Groq/GroqLogo.jsx b/src/frontend/src/icons/Groq/GroqLogo.jsx
new file mode 100644
index 00000000000..aa1d98232f2
--- /dev/null
+++ b/src/frontend/src/icons/Groq/GroqLogo.jsx
@@ -0,0 +1,22 @@
+const SvgGroqLogo = ({ color, ...props }) => (
+  <svg
+    xmlns="http://www.w3.org/2000/svg"
+    aria-label="groq logo"
+    role="img"
+    width="48"
+    height="48"
+    viewBox="0 0 24 24"
+    fill="none"
+    class="fill-foreground"
+  >
+    <path
+      fill="#F55036"
+      d="M24 12c0 6.627-5.373 12-12 12S0 18.627 0 12 5.373 0 12 0s12 5.373 12 12Z"
+    ></path>
+    <path
+      fill="#fff"
+      d="M12.002 6a4.118 4.118 0 0 0-4.118 4.108 4.118 4.118 0 0 0 4.118 4.109h1.354v-1.541h-1.354a2.574 2.574 0 0 1-2.574-2.568 2.574 2.574 0 0 1 2.574-2.568c1.42 0 2.58 1.152 2.58 2.568v3.784a2.58 2.58 0 0 1-2.555 2.567 2.558 2.558 0 0 1-1.791-.752l-1.092 1.09a4.095 4.095 0 0 0 2.855 1.202l.028.001h.029a4.118 4.118 0 0 0 4.061-4.09l.002-3.903A4.119 4.119 0 0 0 12.002 6Z"
+    ></path>
+  </svg>
+);
+export default SvgGroqLogo;
diff --git a/src/frontend/src/icons/Groq/GroqLogo.svg b/src/frontend/src/icons/Groq/GroqLogo.svg
new file mode 100644
index 00000000000..6757dd89627
--- /dev/null
+++ b/src/frontend/src/icons/Groq/GroqLogo.svg
@@ -0,0 +1,38 @@
+<svg version="1.1" id="Layer_1" x="0px" y="0px" width="152px" height="55.5px" viewBox="0 32.25 152 55.5" enable-background="new 0 32.25 152 55.5" xml:space="preserve">
+ <title>
+  groq_logo
+ </title>
+ <g id="Layer_2">
+  <g id="Layer_1-2">
+   <path d="M84.848,34.137c-9.798,0-17.769,7.971-17.769,17.77s7.971,17.769,17.769,17.769s17.77-7.971,17.77-17.769
+			S94.645,34.137,84.848,34.137z M84.848,63.013c-6.124,0-11.106-4.983-11.106-11.106s4.982-11.106,11.106-11.106
+			c6.124,0,11.106,4.982,11.106,11.106S90.973,63.013,84.848,63.013z">
+   </path>
+   <path d="M60.315,34.206c-0.607-0.068-1.217-0.104-1.827-0.108c-0.304,0-0.595,0.009-0.893,0.014s-0.594,0.033-0.891,0.051
+			c-1.197,0.094-2.382,0.299-3.541,0.611c-2.329,0.629-4.574,1.723-6.515,3.277c-1.97,1.57-3.548,3.575-4.611,5.859
+			c-0.53,1.138-0.921,2.336-1.165,3.567c-0.121,0.608-0.21,1.222-0.266,1.84c-0.02,0.307-0.055,0.615-0.059,0.921l-0.011,0.459
+			l-0.005,0.23v0.19l0.015,5.951l0.015,5.951l0.041,5.95h6.664l0.042-5.95l0.015-5.952l0.015-5.951v-0.182l0.005-0.142l0.008-0.285
+			c0-0.191,0.028-0.375,0.039-0.564c0.036-0.37,0.091-0.738,0.165-1.102c0.146-0.716,0.374-1.413,0.678-2.077
+			c0.613-1.332,1.528-2.502,2.673-3.419c1.156-0.932,2.541-1.628,4.038-2.042c0.757-0.207,1.532-0.344,2.314-0.408
+			c0.198-0.011,0.395-0.03,0.594-0.037c0.199-0.007,0.402-0.013,0.595-0.012c0.383,0,0.76,0.025,1.142,0.06
+			c1.518,0.153,2.989,0.619,4.318,1.368l3.326-5.776C65.108,35.263,62.753,34.484,60.315,34.206z">
+   </path>
+   <path d="M17.77,34.048C7.971,34.048,0,42.019,0,51.817s7.971,17.77,17.77,17.77h5.844v-6.664H17.77
+			c-6.124,0-11.106-4.982-11.106-11.106s4.982-11.106,11.106-11.106s11.132,4.982,11.132,11.106l0,0v16.365l0,0
+			c0,6.084-4.954,11.039-11.023,11.103c-2.904-0.024-5.681-1.191-7.729-3.25l-4.712,4.712c3.266,3.283,7.691,5.151,12.321,5.201
+			v0.003c0.04,0,0.08,0,0.119,0h0.125v-0.003c9.659-0.131,17.48-8.005,17.525-17.686l0.006-16.881
+			C35.302,41.785,27.422,34.048,17.77,34.048z">
+   </path>
+   <path d="M124.083,34.137c-9.798,0-17.769,7.971-17.769,17.77s7.971,17.769,17.769,17.769h6.08v-6.663h-6.08
+			c-6.124,0-11.106-4.983-11.106-11.106s4.982-11.106,11.106-11.106c5.799,0,10.572,4.468,11.062,10.143h-0.01v34.12h6.664V51.907
+			l0,0C141.797,42.108,133.881,34.137,124.083,34.137z">
+   </path>
+   <polygon points="151.983,35.04 151.033,35.04 149.737,37.053 148.399,35.04 147.44,35.04 147.44,38.624 148.511,38.624
+			148.511,36.88 149.461,38.288 149.979,38.288 150.912,36.836 150.929,38.624 152,38.624 		">
+   </polygon>
+   <polygon points="143.519,35.896 144.685,35.896 144.685,38.624 145.86,38.624 145.86,35.896 147.034,35.896 147.034,35.04
+			143.519,35.04 		">
+   </polygon>
+  </g>
+ </g>
+</svg>
diff --git a/src/frontend/src/icons/Groq/index.tsx b/src/frontend/src/icons/Groq/index.tsx
new file mode 100644
index 00000000000..6c4283d2923
--- /dev/null
+++ b/src/frontend/src/icons/Groq/index.tsx
@@ -0,0 +1,8 @@
+import React, { forwardRef } from "react";
+import SvgGroqLogo from "./GroqLogo";
+
+export const GroqIcon = forwardRef<SVGSVGElement, React.PropsWithChildren<{}>>(
+  (props, ref) => {
+    return <SvgGroqLogo ref={ref} {...props} />;
+  },
+);
diff --git a/src/frontend/src/icons/IFixIt/index.tsx b/src/frontend/src/icons/IFixIt/index.tsx
index 7d94a4fcd9f..318ae72a611 100644
--- a/src/frontend/src/icons/IFixIt/index.tsx
+++ b/src/frontend/src/icons/IFixIt/index.tsx
@@ -4,5 +4,5 @@ import SvgIfixitSeeklogocom from "./IfixitSeeklogoCom";
 export const IFixIcon = forwardRef<SVGSVGElement, React.PropsWithChildren<{}>>(
   (props, ref) => {
     return <SvgIfixitSeeklogocom ref={ref} {...props} />;
-  }
+  },
 );
diff --git a/src/frontend/src/icons/LangChain/LangChainIcon.jsx b/src/frontend/src/icons/LangChain/LangChainIcon.jsx
new file mode 100644
index 00000000000..aa5e98bec1f
--- /dev/null
+++ b/src/frontend/src/icons/LangChain/LangChainIcon.jsx
@@ -0,0 +1,24 @@
+const SvgLangChainIcon = (props) => (
+  <svg
+    viewBox="0 0 81 41"
+    fill="none"
+    height="200"
+    width="400"
+    xmlns="http://www.w3.org/2000/svg"
+    {...props}
+  >
+    <path
+      d="M61.514 11.157a3.94 3.94 0 0 0-2.806 1.158l-3.018 3.01a3.95 3.95 0 0 0-1.147 3.095l.019.191a3.9 3.9 0 0 0 1.128 2.314 3.6 3.6 0 0 0 1.496.9q.046.263.047.53c0 .797-.31 1.546-.874 2.107l-.186.186c-1.008-.344-1.848-.847-2.607-1.604a6.9 6.9 0 0 1-1.927-3.67l-.034-.193-.153.124a4 4 0 0 0-.294.265l-3.018 3.01a3.957 3.957 0 0 0 2.807 6.757 3.96 3.96 0 0 0 2.806-1.158l3.019-3.01a3.96 3.96 0 0 0 0-5.599 3.9 3.9 0 0 0-1.462-.92 3.25 3.25 0 0 1 .924-2.855 6.9 6.9 0 0 1 2.664 1.656 6.9 6.9 0 0 1 1.926 3.67l.035.193.153-.124q.155-.125.296-.267l3.018-3.01a3.956 3.956 0 0 0-2.808-6.756z"
+      fill="CurrentColor"
+    />
+    <path
+      d="M59.897.149h-39.49C9.153.149 0 9.279 0 20.5c0 11.222 9.154 20.351 20.406 20.351h39.49c11.253 0 20.407-9.13 20.407-20.35C80.303 9.277 71.149.148 59.897.148M40.419 32.056c-.651.134-1.384.158-1.882-.36-.183.42-.612.199-.943.144-.03.085-.057.16-.085.246-1.1.073-1.925-1.046-2.449-1.89-1.04-.562-2.222-.904-3.285-1.492-.062.968.15 2.17-.774 2.794-.047 1.862 2.824.22 3.088 1.608-.204.022-.43-.033-.594.124-.749.726-1.608-.55-2.471-.023-1.16.582-1.276 1.059-2.71 1.179-.08-.12-.047-.2.02-.273.404-.468.433-1.02 1.122-1.22-.71-.111-1.303.28-1.901.59-.778.317-.772-.717-1.968.054-.132-.108-.069-.206.007-.289.304-.37.704-.425 1.155-.405-2.219-1.233-3.263 1.508-4.288.145-.308.081-.424.358-.618.553-.167-.183-.04-.405-.033-.62-.2-.094-.453-.139-.394-.459-.391-.132-.665.1-.957.32-.263-.203.178-.5.26-.712.234-.407.769-.084 1.04-.377.772-.437 1.847.273 2.729.153.68.085 1.52-.61 1.179-1.305-.726-.926-.598-2.137-.614-3.244-.09-.645-1.643-1.467-2.092-2.163-.555-.627-.987-1.353-1.42-2.068-1.561-3.014-1.07-6.886-3.037-9.685-.89.49-2.048.259-2.816-.399-.414.377-.432.87-.465 1.392-.994-.99-.87-2.863-.075-3.966a5.3 5.3 0 0 1 1.144-1.11c.098-.07.131-.14.129-.25.786-3.524 6.144-2.845 7.838-.348 1.229 1.537 1.6 3.57 2.994 4.997 1.875 2.047 4.012 3.85 5.742 6.03 1.637 1.992 2.806 4.328 3.826 6.683.416.782.42 1.74 1.037 2.408.304.403 1.79 1.5 1.467 1.888.186.403 1.573.959 1.092 1.35zm26.026-12.024-3.018 3.01a6.96 6.96 0 0 1-2.875 1.728l-.056.016-.02.053a6.9 6.9 0 0 1-1.585 2.446l-3.019 3.01a6.94 6.94 0 0 1-4.932 2.035 6.94 6.94 0 0 1-4.932-2.035 6.95 6.95 0 0 1 0-9.838l3.018-3.01a6.9 6.9 0 0 1 2.871-1.721l.055-.017.02-.053a6.9 6.9 0 0 1 1.59-2.454l3.019-3.01a6.94 6.94 0 0 1 4.932-2.035c1.865 0 3.616.723 4.932 2.035a6.9 6.9 0 0 1 2.04 4.92c0 1.86-.724 3.607-2.04 4.918z"
+      fill="CurrentColor"
+    />
+    <path
+      d="M28.142 28.413c-.265 1.03-.35 2.782-1.694 2.832-.11.595.413.819.89.627.472-.215.696.171.855.556.729.106 1.806-.242 1.847-1.103-1.088-.625-1.424-1.813-1.896-2.914z"
+      fill="CurrentColor"
+    />
+  </svg>
+);
+export default SvgLangChainIcon;
diff --git a/src/frontend/src/icons/LangChain/index.tsx b/src/frontend/src/icons/LangChain/index.tsx
new file mode 100644
index 00000000000..48b8566e168
--- /dev/null
+++ b/src/frontend/src/icons/LangChain/index.tsx
@@ -0,0 +1,9 @@
+import React, { forwardRef } from "react";
+import SvgLangChainIcon from "./LangChainIcon";
+
+export const LangChainIcon = forwardRef<
+  SVGSVGElement,
+  React.PropsWithChildren<{}>
+>((props, ref) => {
+  return <SvgLangChainIcon ref={ref} {...props} />;
+});
diff --git a/src/frontend/src/icons/LangChain/langchain-icon.svg b/src/frontend/src/icons/LangChain/langchain-icon.svg
new file mode 100644
index 00000000000..e80068b5032
--- /dev/null
+++ b/src/frontend/src/icons/LangChain/langchain-icon.svg
@@ -0,0 +1,5 @@
+<svg viewBox="0 0 81 41" fill="none" height="200" width="400"  xmlns="http://www.w3.org/2000/svg">
+  <path d="M61.514 11.157a3.94 3.94 0 0 0-2.806 1.158l-3.018 3.01a3.95 3.95 0 0 0-1.147 3.095l.019.191a3.9 3.9 0 0 0 1.128 2.314 3.6 3.6 0 0 0 1.496.9q.046.263.047.53c0 .797-.31 1.546-.874 2.107l-.186.186c-1.008-.344-1.848-.847-2.607-1.604a6.9 6.9 0 0 1-1.927-3.67l-.034-.193-.153.124a4 4 0 0 0-.294.265l-3.018 3.01a3.957 3.957 0 0 0 2.807 6.757 3.96 3.96 0 0 0 2.806-1.158l3.019-3.01a3.96 3.96 0 0 0 0-5.599 3.9 3.9 0 0 0-1.462-.92 3.25 3.25 0 0 1 .924-2.855 6.9 6.9 0 0 1 2.664 1.656 6.9 6.9 0 0 1 1.926 3.67l.035.193.153-.124q.155-.125.296-.267l3.018-3.01a3.956 3.956 0 0 0-2.808-6.756z" fill="CurrentColor"/>
+  <path d="M59.897.149h-39.49C9.153.149 0 9.279 0 20.5c0 11.222 9.154 20.351 20.406 20.351h39.49c11.253 0 20.407-9.13 20.407-20.35C80.303 9.277 71.149.148 59.897.148M40.419 32.056c-.651.134-1.384.158-1.882-.36-.183.42-.612.199-.943.144-.03.085-.057.16-.085.246-1.1.073-1.925-1.046-2.449-1.89-1.04-.562-2.222-.904-3.285-1.492-.062.968.15 2.17-.774 2.794-.047 1.862 2.824.22 3.088 1.608-.204.022-.43-.033-.594.124-.749.726-1.608-.55-2.471-.023-1.16.582-1.276 1.059-2.71 1.179-.08-.12-.047-.2.02-.273.404-.468.433-1.02 1.122-1.22-.71-.111-1.303.28-1.901.59-.778.317-.772-.717-1.968.054-.132-.108-.069-.206.007-.289.304-.37.704-.425 1.155-.405-2.219-1.233-3.263 1.508-4.288.145-.308.081-.424.358-.618.553-.167-.183-.04-.405-.033-.62-.2-.094-.453-.139-.394-.459-.391-.132-.665.1-.957.32-.263-.203.178-.5.26-.712.234-.407.769-.084 1.04-.377.772-.437 1.847.273 2.729.153.68.085 1.52-.61 1.179-1.305-.726-.926-.598-2.137-.614-3.244-.09-.645-1.643-1.467-2.092-2.163-.555-.627-.987-1.353-1.42-2.068-1.561-3.014-1.07-6.886-3.037-9.685-.89.49-2.048.259-2.816-.399-.414.377-.432.87-.465 1.392-.994-.99-.87-2.863-.075-3.966a5.3 5.3 0 0 1 1.144-1.11c.098-.07.131-.14.129-.25.786-3.524 6.144-2.845 7.838-.348 1.229 1.537 1.6 3.57 2.994 4.997 1.875 2.047 4.012 3.85 5.742 6.03 1.637 1.992 2.806 4.328 3.826 6.683.416.782.42 1.74 1.037 2.408.304.403 1.79 1.5 1.467 1.888.186.403 1.573.959 1.092 1.35zm26.026-12.024-3.018 3.01a6.96 6.96 0 0 1-2.875 1.728l-.056.016-.02.053a6.9 6.9 0 0 1-1.585 2.446l-3.019 3.01a6.94 6.94 0 0 1-4.932 2.035 6.94 6.94 0 0 1-4.932-2.035 6.95 6.95 0 0 1 0-9.838l3.018-3.01a6.9 6.9 0 0 1 2.871-1.721l.055-.017.02-.053a6.9 6.9 0 0 1 1.59-2.454l3.019-3.01a6.94 6.94 0 0 1 4.932-2.035c1.865 0 3.616.723 4.932 2.035a6.9 6.9 0 0 1 2.04 4.92c0 1.86-.724 3.607-2.04 4.918z" fill="CurrentColor"/>
+  <path d="M28.142 28.413c-.265 1.03-.35 2.782-1.694 2.832-.11.595.413.819.89.627.472-.215.696.171.855.556.729.106 1.806-.242 1.847-1.103-1.088-.625-1.424-1.813-1.896-2.914z" fill="CurrentColor"/>
+</svg>
diff --git a/src/frontend/src/icons/Meta/index.tsx b/src/frontend/src/icons/Meta/index.tsx
index 0882b673d4f..9fb123e865c 100644
--- a/src/frontend/src/icons/Meta/index.tsx
+++ b/src/frontend/src/icons/Meta/index.tsx
@@ -4,5 +4,5 @@ import SvgMetaIcon from "./MetaIcon";
 export const MetaIcon = forwardRef<SVGSVGElement, React.PropsWithChildren<{}>>(
   (props, ref) => {
     return <SvgMetaIcon ref={ref} {...props} />;
-  }
+  },
 );
diff --git a/src/frontend/src/icons/Ollama/Ollama.jsx b/src/frontend/src/icons/Ollama/Ollama.jsx
new file mode 100644
index 00000000000..70086a373cb
--- /dev/null
+++ b/src/frontend/src/icons/Ollama/Ollama.jsx
@@ -0,0 +1,64 @@
+export const SvgOllama = (props) => (
+  <svg
+    xmlns="http://www.w3.org/2000/svg"
+    xmlnsXlink="http://www.w3.org/1999/xlink"
+    width="40"
+    height="40"
+    version="1"
+    viewBox="0 0 550 850"
+  >
+    <defs>
+      <filter id="a808475d7c" width="100%" height="100%" x="0%" y="0%">
+        <feColorMatrix
+          colorInterpolationFilters="sRGB"
+          values="0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0 0 0 1 0"
+        ></feColorMatrix>
+      </filter>
+      <filter id="7c1498cd34" width="100%" height="100%" x="0%" y="0%">
+        <feColorMatrix
+          colorInterpolationFilters="sRGB"
+          values="0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0.2126 0.7152 0.0722 0 0"
+        ></feColorMatrix>
+      </filter>
+      <image
+        width="460"
+        height="460"
+        x="0"
+        y="0"
+        preserveAspectRatio="xMidYMid meet"
+        xlinkHref="data:image/png;base64,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"
+      ></image>
+      <mask id="5b9db65fc8">
+        <g filter="url(#a808475d7c)">
+          <g
+            filter="url(#7c1498cd34)"
+            transform="matrix(1.63044 0 0 1.63044 0 0)"
+          >
+            <image
+              width="460"
+              height="460"
+              xlinkHref="data:image/png;base64,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"
+            ></image>
+          </g>
+        </g>
+      </mask>
+      <image
+        width="460"
+        height="460"
+        x="0"
+        y="0"
+        preserveAspectRatio="xMidYMid meet"
+        xlinkHref="data:image/png;base64,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"
+      ></image>
+    </defs>
+    <g mask="url(#5b9db65fc8)">
+      <image
+        width="460"
+        height="460"
+        transform="matrix(1.63044 0 0 1.63044 0 0)"
+        xlinkHref="data:image/png;base64,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"
+      ></image>
+    </g>
+  </svg>
+);
+export default SvgOllama;
diff --git a/src/frontend/src/icons/Ollama/Ollama.svg b/src/frontend/src/icons/Ollama/Ollama.svg
new file mode 100644
index 00000000000..f189d6efb8b
--- /dev/null
+++ b/src/frontend/src/icons/Ollama/Ollama.svg
@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="1000" zoomAndPan="magnify" viewBox="0 0 750 749.999995" height="1000" preserveAspectRatio="xMidYMid meet" version="1.0"><defs><filter x="0%" y="0%" width="100%" height="100%" id="a808475d7c"><feColorMatrix values="0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0 0 0 1 0" color-interpolation-filters="sRGB"/></filter><filter x="0%" y="0%" width="100%" height="100%" id="7c1498cd34"><feColorMatrix values="0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0.2126 0.7152 0.0722 0 0" color-interpolation-filters="sRGB"/></filter><image x="0" y="0" width="460" xlink:href="data:image/png;base64,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" id="76054dfad5" height="460" preserveAspectRatio="xMidYMid meet"/><mask id="5b9db65fc8"><g filter="url(#a808475d7c)"><g filter="url(#7c1498cd34)" transform="matrix(1.630435, 0, 0, 1.630435, 0.00000265, 0.00002)"><image x="0" y="0" width="460" xlink:href="data:image/png;base64,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" height="460" preserveAspectRatio="xMidYMid meet"/></g></g></mask><image x="0" y="0" width="460" xlink:href="data:image/png;base64,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" id="f69c2433b6" height="460" preserveAspectRatio="xMidYMid meet"/></defs><g mask="url(#5b9db65fc8)"><g transform="matrix(1.630435, 0, 0, 1.630435, 0.00000265, 0.00002)"><image x="0" y="0" width="460" xlink:href="data:image/png;base64,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" height="460" preserveAspectRatio="xMidYMid meet"/></g></g></svg>
\ No newline at end of file
diff --git a/src/frontend/src/icons/Ollama/index.tsx b/src/frontend/src/icons/Ollama/index.tsx
new file mode 100644
index 00000000000..4d49fa198c6
--- /dev/null
+++ b/src/frontend/src/icons/Ollama/index.tsx
@@ -0,0 +1,9 @@
+import React, { forwardRef } from "react";
+import SvgOllama from "./Ollama";
+
+export const OllamaIcon = forwardRef<
+  SVGSVGElement,
+  React.PropsWithChildren<{}>
+>((props, ref) => {
+  return <SvgOllama ref={ref} {...props} />;
+});
diff --git a/src/frontend/src/icons/Postgres/Postgres.jsx b/src/frontend/src/icons/Postgres/Postgres.jsx
new file mode 100644
index 00000000000..95059e7296d
--- /dev/null
+++ b/src/frontend/src/icons/Postgres/Postgres.jsx
@@ -0,0 +1,67 @@
+export const SvgPostgres = (props) => (
+  <svg
+    xmlns="http://www.w3.org/2000/svg"
+    xmlnsXlink="http://www.w3.org/1999/xlink"
+    width="30"
+    height="30"
+    version="1"
+    viewBox="0 0 369 380.25"
+  >
+    <defs>
+      <filter id="a5834174ca" width="100%" height="100%" x="0%" y="0%">
+        <feColorMatrix
+          colorInterpolationFilters="sRGB"
+          values="0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0 0 0 1 0"
+        ></feColorMatrix>
+      </filter>
+      <filter id="73421d60a2" width="100%" height="100%" x="0%" y="0%">
+        <feColorMatrix
+          colorInterpolationFilters="sRGB"
+          values="0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0.2126 0.7152 0.0722 0 0"
+        ></feColorMatrix>
+      </filter>
+      <clipPath id="5d6f8b8a11">
+        <path d="M.363 0H366v379.5H.363zm0 0"></path>
+      </clipPath>
+      <image
+        width="494"
+        height="512"
+        x="0"
+        y="0"
+        preserveAspectRatio="xMidYMid meet"
+        xlinkHref="data:image/png;base64,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"
+      ></image>
+      <mask id="594310ce6c">
+        <g filter="url(#a5834174ca)">
+          <g
+            filter="url(#73421d60a2)"
+            transform="matrix(.74095 0 0 .74121 .363 0)"
+          >
+            <image
+              width="494"
+              height="512"
+              xlinkHref="data:image/png;base64,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"
+            ></image>
+          </g>
+        </g>
+      </mask>
+      <image
+        width="494"
+        height="512"
+        x="0"
+        y="0"
+        preserveAspectRatio="xMidYMid meet"
+        xlinkHref="data:image/png;base64,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"
+      ></image>
+    </defs>
+    <g clipPath="url(#5d6f8b8a11)" mask="url(#594310ce6c)">
+      <image
+        width="494"
+        height="512"
+        transform="matrix(.74095 0 0 .74121 .363 0)"
+        xlinkHref="data:image/png;base64,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"
+      ></image>
+    </g>
+  </svg>
+);
+export default SvgPostgres;
diff --git a/src/frontend/src/icons/Postgres/Postgres.svg b/src/frontend/src/icons/Postgres/Postgres.svg
new file mode 100644
index 00000000000..d8c30acf824
--- /dev/null
+++ b/src/frontend/src/icons/Postgres/Postgres.svg
@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="492" zoomAndPan="magnify" viewBox="0 0 369 380.250002" height="507" preserveAspectRatio="xMidYMid meet" version="1.0"><defs><filter x="0%" y="0%" width="100%" height="100%" id="a5834174ca"><feColorMatrix values="0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0 0 0 1 0" color-interpolation-filters="sRGB"/></filter><filter x="0%" y="0%" width="100%" height="100%" id="73421d60a2"><feColorMatrix values="0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0.2126 0.7152 0.0722 0 0" color-interpolation-filters="sRGB"/></filter><clipPath id="5d6f8b8a11"><path d="M 0.363281 0 L 366 0 L 366 379.5 L 0.363281 379.5 Z M 0.363281 0 " clip-rule="nonzero"/></clipPath><image x="0" y="0" width="494" xlink:href="data:image/png;base64,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" id="05377639d5" height="512" preserveAspectRatio="xMidYMid meet"/><mask id="594310ce6c"><g filter="url(#a5834174ca)"><g filter="url(#73421d60a2)" transform="matrix(0.740947, 0, 0, 0.741214, 0.363188, 0.00000998031)"><image x="0" y="0" width="494" xlink:href="data:image/png;base64,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" height="512" preserveAspectRatio="xMidYMid meet"/></g></g></mask><image x="0" y="0" width="494" xlink:href="data:image/png;base64,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" id="ef29ccac0b" height="512" preserveAspectRatio="xMidYMid meet"/></defs><g clip-path="url(#5d6f8b8a11)"><g mask="url(#594310ce6c)"><g transform="matrix(0.740947, 0, 0, 0.741214, 0.363188, 0.00000998031)"><image x="0" y="0" width="494" xlink:href="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAe4AAAIACAIAAADL0xhuAAAABmJLR0QA/wD/AP+gvaeTAAAgAElEQVR4nOy9abhcV3Um/K619z6nhjvoaraswfOEwTY2hthgEhIGYwhThm4yPoGnkydJp5M06dDJl490p+nwJOlOJ2SAfIFAGghhsMHYxpjJEAzYGAzGxhNGtmVbsmRJd6qqc87ee63vx646Kl3pXluy7tXAfX/oKdWtOrXPsN+99lrvWouwjGUs40THjh07Go0GM2dZxszGGABEpKoAmFlERISZ0+eJ6Ij8bjo+ABGx1gIoyzLP8/SnhPRbqlpVlYiUZblq1aoj8us/VDgyN2wZy1jGMYKbbrppy5YtIyMja9asSdRMRN77ycnJiYmJEEKe50SU6JuZY4xENMzdw69rLn6GIKL6h0QkrSUikqg8DUNVp6enW61WIn0AIYQQQoxxxYoVR2QYJzCWqXwZyzi+Mcy2qrp3795vfvObV1xxRZ7nyQROjGmMSVYwM3vvjTHM3Ov1ms3m0gwyxmitTetHCMFam3jce++cq9cVZq6qyhhjrS2KoizLRqPhnAMQY0xm+/j4+BKM+fjCMpUvYxnHGVQ1hJDcI7WrZPiv6b+JFus3E1Gmz2NgERtjQgjMXH9yUZEGUI8wDaP+ae89EdUmefpTURSNRiNRP4Dp6elms5kWgxhjjHFsbGwJRn7sY5nKl/FDgTvvvLPdbrfb7ZGRkTzPE7WJyBwSVFUR6fV6IYROp3PqqacexTHPQVEUzExExhgiShxXs7P3PvmjjTEiAqCmyMSJNWmmc0wkXvPmgUjG/pFymtfHJKIQQlmW7XY7DSANrPah1zuGenjee2ttctGks0u2fDLY02fSOI/saI8v/PCe+cJ4/PHH01OS53maP3gaD0p6yNJECiGISIxxeTO4BPi3f/u3k08+ud1ur1q16qBu306ns3Xr1rVr165bt67b7bZarWQD1p/RIcQYd+7cuW7duizLaj9yTW2JR5Zmp59oF0D6N/ko5hi2AJKPAgOuTOSYGHD4IiQ7Pf03rQTpyHVMcvGQpkZNxwDmLCTDm4n0gTnniKGdRP3fA5eo7du3T09Pb9269VWvetWintGxhh9eKt++fXue51mW5Xme5kZ6P+1bq6rau3fvxMREMhDw9Bb8ej/ovY8xVlXVbDaHJ176lfRfIup2u1VV7dmz58wzz1zMcz3RsH379pGREWNMsuMATE1N3X333ZdeemmWZYn1sP8tq1/XZBdjTPQ3H2oaTdyRona1qZsCdLV/o/7Rp/+0LPC7wy+SGWutraoqy7Lhs8AQ8WF/psYQvw+7pzGkIak9MEtszFZVVZN4zcJp3hVF0Ww2h1m+fj1M3Mm/VMdOh31HvV7vC1/4wvOf//xk9c/Ozm7YsGEpz+5o4YeFyutpWc8B7/3evXvHx8ebzWb9lGDwbNVbv8PYuM0xFtIMrKd6bfqlafb973//5JNPTvZR/afZ2dmqqqanp5cpPuFb3/rW+vXrG41GUjKkhXb9+vW1mZZ4FkNehfkQY8SAnYcdtQdFTTG1QyZ9fo4VnD48/GZ6p/7T03l+DqoVecoRzhnqnC/O4cH6r8MLwIHfXSSkHx3+6eHfnTOkYcwZ3vB/h1/XTv96B7B9+/aVK1fOzs4WRfH4449feumli3VuxwBOWCp/4oknhj0kddjnoNR8LLjYEl9gENTatm3bhg0b0jJTLwPOuWNhqEuDG2644Ywzzmi32+vXr5+dnX3wwQcvuuiiYQfC0R7gfphDxOl5S6+T7iI5eTudTlmWaZHeuXNnq9UCkGzk5AFf+pEneICG6KC+uATZ/w0sLE4cfP5AMABJXyYlLNGpphXiG9/4xtlnn50CpCfqDDqhzmrHjh3tdttam2WZ935qamrYQ5Ks4zlT7li7r8PDqx2L3nvvfavVSrSenLlPPPHEzMzMtm3bXvnKVx7FAR9xpCsgIrt377799tuvvPLK2m9Qb6sXsOCOFubTXxNREvwlA7koikcfffSkk07K8zzGOD09vWbNmuS7xwHu4yWFBgBIZ8FDVnN6laZJ+mv/9TyUTfMsscqJbPYTTg4teIuH5M9JP5TcnidkItKxRWSHgWuuueaMM84YGxs7+eSTY4x79+5dt24dBsSdPlP7HI+Wc/AwkPg60VZS4Kb3U7Au+dlvueWWSy65ZOXKlRh4DI7985oPaS8CoPaBhhCSGyo5LtK/tcfjeDnTYU9dPeb0cKY/1cru2oV9dCAe0D7RmrScsGJBG/tgiIMXqgDt4xcTBYDSUktN6lU/XfM0faanp0dHR5988sm027vyyiuXZjCLiuNjPhyIhx9+eGRkJMuymZmZW2+99RWveEVyN2MoVq6qSa5UVVUd4DrWKGBhydcct/tBPZ7DFJCOVhTF8RLwmZycTKnkSZhRlmV6Medjw3KLOfroYxxzMipDCGmbOHwic4QZRwXDe4ph+jax2ucL6b9QAAp38Gc2Wff9z+NgnL/UnrE5aVC1HSAiN91004UXXjg2NlaWZTKJjl8cW7z2dFAUhTGmqqonn3xy/fr1WZZ1Op12u11LVtMWtbbK0zt1SOpYxhzvCg4W9aoXqkQKIYQ555W+kgI+6Qocm5LbdLJJvj06Opp2IVmWpZWp3pGkN7F/WOw4ssoThgVzRJQezprH673/UWTzIsIwmMD7SGGulzyhH9SZx5EiMdAQ6vfn6H+wOLr1+VCrhOsIOQ3qzwCYmppKYiRVrbfyxx2Om/mQJCi17Le2Q+v8sbqwAw5QZc2ZSEdl/IeBNNphmS0OoPj0ov4kgLTOHUh/wziKF2Hr1q2jo6NZlrXb7Tmr1Jy7U6/KqTqHiCx8Usc4FlZuHAOB3IEtnpzgEpNnXM3A57NPNAJVGAoHHAEAlPq+/sHcU5CoqrDl4feXCnM0PAeadPX2KL1IFH/UIhbPAMeWDOCgqCV6NWfVqthhBXFabzHIFqupbXjaHEc8njBssiVTYlgxOcf1X3uZU3S3tkEOetgkrJ4vWLcYSENau3btzMxMkhUBSP5xEfHeD3843cT0p/qk0p/qbMbjCMl/ks6xTk3C0MN5tHkc0KgiMWpUG8kGk1e2UdkGkRJpGisAAZQABsgqjMKIcnoBspjD4xBQBJQIHghAfCoBzBHHHFJOxV7S6xT/rN1cyfGVZkSMMT2ZxxGOXWp76KGHxsbGnHPtdrvOrzlQOfuU/60L98wXLl/Kjd58OFCJjCE77kCJ+vCJHFT2MCc8OGfXgqHdDICiKGKMnU5n/fr1i3R2tV9IREIItXthzvgP1Dtj//ohx6NJPryFqt0Oww/k0RSuDBCB2W65e2pmz3R3slNNznSnOkWv8Hs7vSpIURRFWZU+lD6GEKKilH3b3OQ5SfbTmIWxlLus1cxH243Rdmuk1XLOnLmSWs18xejYxOhoq5nVG+bFtiaHr/Pw7hwH82GmB7VOMUkOgDoId4zjWKTyxx9/fGRkREQmJyc3btx4ZKeuIgCsIkQDGa8CJBEMgBTUD7sLABUhnmeOzWNdJBHAfhkNQDry4Lf2PwgNRGCcvCh9xe0S3JhhonziiSdS9k2qQHKkdFppMgB4yoof8x8igBiqIKPpjhARac0Cfb1cvfFCMqY4CTAwcByYfcG8fRa9AlRTybDSDtD0PAx/ZZ/8jgd/GFAAQH2/hKB+YAiqiy6fThciKpRgkjZchEkgBDYKaLKjVUiFGXtm/K69048+sfvR3bM7p8rtk53tT07vmZ7ZPdlZ3IFSvYFGq5GtXjG+bu2qifGxc8d17ZrVWzaddNLqsbaDSaekAsbg8rEmrw4BGLjyFSCBCqAgA6ACJ128BQBBfwuBeqPw9FH7J8uyTOZOCssfkcuweDi2qHz79u0pgNnpdE466aS0Qg7LCp85gpSGXT2BVZUg+5ZuIqjGGBU8SNk4YC+ftmB08AXGzPP5+lEeqLQGrlKxAIiVl/Ze1NqsOkExme179uwZGRlJ+5hnkrQyPT2dpClJR5gCSocTq4iVEoOGRyJpkscYCeB6pR/cF+4zvhJRf7aLgIZ0frRvJY77G4V91lDN+gvBXJuxdlcNwoN9lq+UDJv0X4GYvkkghMWngJh4TKAKGLCLAmZE4OGdM3d9/9FtT3Z2TfV+8OjOh7Y9GjTlJhBAygQyAIsqz6cTP0IYrlxGGgnqmAzDw0iMFKuMsXJsdNOGdaedsmnd2rUv2OzWr1/fym2UaJKEUQUiQdkYQxBRZbZpJfMRjbgXNgNlIOcVACwdzoyaUxY4ldtN5kgIod1uH8FrcmRxrFD5jTfeePrpp7daLWZet25dEmYMB76OlG0uEpgt9tt57YvU13ZcehEUjTl5DQNERAwJZweKXFgcfJxehYhoYJ0PvrWPKpKFiZQvR7RkYYzacK7rR2NA9CkaMT093e12d+7ceckllzydA37nO99ZvXp1s9m01o6OjiYHcS0JP/QB7tuD9w18BoCSTLpGpv8QB0AhGjhLv7FfkC39Jd33uad/cMOZtOxb30q1qC55rdKjQzT0TYXC1oZgf7+u+ydQLg4CIALHAPDY7tmHdk7f88iu7219/MEdT+55cnen08ltbm3mfVChLMv2wBqGJYYGkkgSGcJMURf7eesHdfrRHY0SokiIjTEApEIqBCEVy8zQKcmaRjevHbnglPXPOW3NxWdu2LRuBdQHbtLQOqoiAGjgNlGRwdJ++KdTu2TTgFOGUVEUMzMze/bsefDBB1/96lc/04uxCDgmqFxVt2/ffuedd77sZS/z3s8RKiyG7GR/13kyrCJEIKIEYrtvo02J9yH1tFUB4PY/HNDfm+uQSKuOKTLV23PuKwBoYJjvO+ySqmvS5R2uVV2719MtGFblf/e73z3zzDNT4G5mZmbz5s0LHHZ6evqRRx4599xzU2HS2vmYDn7Y8T3tEygNonBp+8wKjkAYeK4aoQu2IAaxKqkSKDkf+mHVQakq7juyasfIvrvFICqHIng89EXXt7tJQH33BaBAA2F4WYghMDMxY7Gt8nIa+cgPdnWv/vxtn/36nTunK5M3iW2EkqhhGEryDKiSghz10HcA9m2XpC3UeXaZRwqq/VI2AJJQZOCq7ueFERFDaqGagIdTq7z3IyMjW7ZsefWZOOusM04/9bRmRiqwDAZE4Blcr98qacEFxJhDkyDXIZn06A77Vbz3n/nMZy644II1a9YsTb+OQ8JRpvJhBUVtg8/MzCSh8SJR23DQo47ICfezlZMnTjWQAkTgA8cgAOI8U9TUJ0TS96Wk7/TDRCAeeGETpfMgUE6ckpslib0W3ygfjgL1er1U97UuDA0gPdO1QktVH3vssVWrVvV6vbIsd+7cedFFF9VH897XNF1rjYbfPLx9lQIS47A+bLAMI3gPwDrXp3VN/m3X/xpi32Haf4psImMFYoT3oSiqqqp0MKjUtibLMueMMYMIB5L31g8YG6qUbMDkIB+sAQTjEgexcRhs9HTRiRwlkAHke7B294z/l89+46NfvmtXaSdQhBCUmIytREEGbJS4hSKKxnSxyAAcFQLNdHEFGzx081VIkGidGYPI/MAGIiKCYYplWTrnjDGpUHsjszHGKbE5y6oGnbVh4ooLTv+RZ59xytpxUIQK2IBsHMRIzOGy2zDz1IHQNLBk3ySty7Ak+ljAUaPyq6+++pxzzlm1atXatWvrN1NthGazqfvn+ywe6tsWB35S1v0IPBGHiCiYmdMtFoKFx8DKqA9CRB5ZOkJyuRKQBO5pogxMPNlXdShFc5RVVYmZ95HIYqNOoZyDAwtJD1vTSaR11113nX766SMjI8lo+qM/+qMXv/jFL37xi9MXF8MzVg+mv/uR0F+HRETEpFxzCYW6PVOz23dPPv7k7I6p4onJ7s7p3myn3LF3piiKVM1Kldia4SUKQ1ZFOqPxLDbybKTVGG83RluN8dH22Ei71ci2rF81PtpeOzG6erw1ksFAoBEaIM10a2MVAJjcAhDvOVvsxDTxPlrnBOhWyDJMz/pP33jT+27Z0e2VXmJyo2cMQvBlrzQravaERiJiaK3ZWDyEWDGzHcw1DALLRgWAEFRoYGMZItLQSz7rGGPmclWtgiciMVmM0TBbJl/2mHDqpg1nnXHmKy7ZeNbmk9a1iEIHVYFGA5T7yM4ejk1UP/MHytvSI11V1dTU1OTk5AMPPHDVVVc98+vzzHF0qLzb7e7ateub3/zma1/72rrGyBwbfLHyM7UfgRSR5DwVhfeau6CqIAMyApQRU1PdmU5321RVlmW3U8x0O91u0S16vW7hvd/j+ywwTAEARig4ZxpZnud5q9loNBqNRpZbtyKvRkdHV69cMTE+NtLInOlvBqv03YH7r+8EFD3YbuBIIl3eYb1jenbruzAcba7lt+kzcxwyN99880te8pIUIFpYNXgYOy3vvXMGgIoomJj7YS7qgfOu8MM7p7dun9q6Y/L7D+146PHtj01X3vtYlaziDFnDiEFFKmNTAZA0flUNIXiJjYHgZNgQA+DhDIhICYBEkFhiY8x0qQw1iM3MrBxtrF+9YsPaNSvGR5+9Md+4YcPGk1ZmyR7UkqEgBRZ3J55oMQgAWAYpVKIxtAf88eu+fsMXv/b4ZFmxI85SWIhhAGFANUKFJAJgoooWd8mpXeRIpi6Y2YJJqy72d7n055RplGUJ7ueLEEzfvIilklGwMAv2aZRZqpUNfcE5J//ki5978dmnWKYQhQ0/k2lUP8PDGcgY6mp0ww03XHjhhevWrTsW9C1HgcpTMM17n/xNc1Ix5+xunol39eDQiH16Ugtgarq3a+fub+/q7tk7tW37E9t2PLlzsjfb9UWQIOyMiGhQgTIZy2QBCGBpH5UPfLiEVCyUKNnWKgGAITCzIgdEJVIMGetIu7F6YsX42NipK8LE+Oi61Ss3rp1Yv2p85dhI7hgIhyGiOgwMy70TwdUXvL4R8yUiDieaznenho2aw7XQ+9aixMjGKbB7qvPY9idufrhz/wMP3v/9h2Y7hZpMlKMaNg5hhsgQM0BRKc12gjHi03gG2sX+LirMoyq1A8mRKilBBiUCmyYCiKKqGvu33YCJiKKvWhYbVo+dcfLqs7dsPOf0zRtPXn3yYkseZKhGigLEICMKDnvUjT3aMZ+4+Y5PffG2J/b0srwpMVp4gYoI2JKxBBNVRMTS4lrlgFVV1v5+VMFCDECdERGS/nPCIFVVRMh+j5NqVFVDZKFRVQTgtNAqq0CVWYJtdjULUdeONi4/9+TXXnb+pedtOFSCq5/qOcqLGvU7Okix3r179549e+67777Xvva1z/QiPQMsKZXv2rWr1WpZa+uak4cC6XtAktSUEIEI2EGsQ5Kol2EASFSqpSA6PFuV3LYn9t778I77tu2+75Entj6+Z+90p5JadrDUiKQQJSJDTBozZ1evXrF29crT17TWrVp56sb1W9avWjNmWgyCRwzRDKw8SRLGQRgPTBgobQEQKawADElh1/oiKCKRAlYlkEr/xMnGJfHtQj1AIBYZdJCRQMxQDxjA9h9JTaJ+BnmFm6qwdWfntru2fu2Ou7Y+urOsQphP73+MYfP6kc0nrb7orM0XnbX59JNXtkgIERpBmSLSwOWm4L7+XUvARLVJUTJw1veXdh085OlPC6T7i4JJIBHkJgt9/yc+/6kv3d6RPCqLBOOssAua+SAkRe7EszUCA4oqAWodWxEqquiOj5okdc2y5CwSkTzPW63WG190yksue/6mVQ2rEUgru/MKJxUMi4pSlsqDEYEhKphjysx5PQfJGLr22msvuOCC8fHxo1iTa0klE1VVzc7Orl69+jC+Xg6i1elxTnxEzNA48EwoNAImsvOAGzgrFOhEbH2ic+tdW79739bv/eDhooxFkEhWwSLKTJaNSnWkz/hpgQyLSN8GkRBjYFLnnFcCQNEbDaOtfOPalads2XzSujWXrDMnb9ywdtUKDOuaIRE2CkTBDDMoihRDZRBgMoVR0MCyBA9J/Kje0hLTYUlxDwkBQFRr+jpoBZJHqwfkgNVIgJJJw5PoP/2dR++8695vfve+HXtng2nCNAQkSiT+qX7qmAAHT8aki72i7c7atPYFzz7rWWedduGWHOCawTklN2nsSp4bGAikgirYKdl4wBI7p2rugYhAKMs8dxJjKUYdPzaND330+htufYCb7cle0SCYqtPKs8B2NsIiWlDGRolKjT6KIW6wreQghR+OQaSdZaJyVU3heufcTBVbKC46ff1Pv/QFL7zgjIYRJCcPuaIsmrmFaghibQ6StN+uj/l0/IH1XnPv3r2tVivP86XUoQ1jiX41uVnrNdN7f6jB32F7RAXMAkisSpM1+ykSZJKqxGiAFMIjj+yauf3eR7/y3Qe+94Mdu2c7UHbGlMjSLpuZGcoaKFZQkSVxaBwIGiqrYplVY4xRVWAbQxqbAIBBRKScGYSVLT7zpJXPOeOkC87YeMbJqyfG20AAGMmNKFDt02XKYuUkV++nsIKIhlOcBhl0UVXnzW49QoiDX8TQw6cDLb+FADH48J2tuz556/c/++0HuShClAAizoQQYyRRZix2SsuRQiDHhkgikzIoxihQZs7z/NJzNr30olOff8aaVRMtEAfJxFA28CbTPnM7PfSxryYaukE6/wSOACXDvP9JjoAXfHfb1N994JpvPbwLbiRT9Z2pdiPvhcq43Ci0ClEDZzmsFWGJMHx8XGcMvHnJ7V6X3hvJeKbyLh8VCWtG3etfcumrL79gTQuGMOBuBhiiQAALkM855lNS83Cdy6qqQgi9Xu/wDNZngkWn8uuvv/6MM85YuXLlypUrk07zMGJfAKCl+ghicg0FQhCQOGOL2iYve1nGIHf3tskv3XH/Ld9+YM/eqb1Ts54M2VyJFQbMeTkJNgpWJk0uU1WRoHx0dEVz9nG17IlDoUpCYGZiA3BI0XwDFbB1bK2P4oO4vDEyNn7JmevO2bT6eWeedPb60dymcnRGyXqFBUgLpggG1IIcwNAoSqIkRLav2BGoLLqPPgawDaLKlOT2GkrrLKIHm+1Pdj75tbuv/ep9j015Y4yUM5bzqP2ljhkEIRGVIHR8bPzJGWhAVZBGMi6S9bDCtiWVsOtVsZln552y7vJzT77i2VvO2bwaGsGmzlYXUabhRLb0uEpf8jh/dDxINGygGqO3lqGARjADpiv8hdvv+fsP37irbFTqIL7ppKwkd9aoRAlEFIAoDOWB9upYBw3FrurovaqaUKixQjYqjDEI5cqxkYsvvOBNP3725g0rMoiGksiAMyUUQXPurwf1kRfmq+HMjMTmu3fvTr3Mlriq9uJS+Z49e6anp+++++5XvOIV9X5wTiX4pwupUonkoigbzSaAGNUY4xWOBMAjT/auv/Xem2773rYndhuQRxZCIELuMsOIviRExyZp/qIipMgJWyGoqolHacMuQsakB1FEUlROVY3N+j47xKTyTnua4IWZmVKKptRPrZWqBAmyZjM/df2q55298bJnbT5r0+qJXMEUyAZAARY49UwEin1zvJ8DtVQ1xfo5kZJkhGTyFPP4zl0/uO4r3/3iXY/trdiQZFq6Wm7MBLBIEBFAmdkwqnhwH/GxBi4Lm+fKjUhGAcTAWmVMU6VvtlsAfFkBwpBGnq1YseJVLzjr+Rc+69yNbReVY0HOgWzlFRDDMKa+QX1f47w3TL2CiQZ5DhoJAoKqIwSQFsG+56Nf+NiX7twVMs3aJvSQki0JhvqRfLb2OCoQWE8iDDVKDeQkeMdKGg1xCKH0oTUygqr7wovOfNNrXnTuySvgC5hGZPZA42Bz4Smtz+Hf1UH6NBEtpbJlEafu1NRUKhA8Pj4+XJT18PiiE8BAw4IgKgFgYhsFBsXnbn/wX79y3x1bn+xWoemM0eDLqsGiJg/kvLJqdAguFhrLyk30I4CiIOkn+5HwUXKwJNQaGGYGWERCv4aAggSiRGqIiFTJJTFZ0sOoqoEyczCWRKH9PWOEiTBRcf4pa887df1l5206/9Q1a8eaAIKyEDIIBpl1adu+NHr2CiDvnU07ANcj+/lvPvz+j37qe5NtrjpN43PnCjGiMPDsC2/zlChIhomZyKQCpLk9JhKVnxLMVqDBS7+SKoM0EinbjDTGsgQkz5uRTC9oJJOhMLE8de2Kl73wkh9/wbM3TuRWFRQDWUqlsgZLWIzKQ9Q+FxpAHIL4IFkjY0BUiIhFfYzWOQJiwLZdvf/zL5/66t0PiW2RYTVWRFBVzhAgha+cPYayYBZAPYNqfXBfUeZ9u932UYqiaOaZM1QWvcxwl5oG3sbZS847/Zdf98rnnDJqy8K4CG7XB8TTM26Gg891mmjKj6uqqtPpLE0zr8WaD7Ozs4nHm83mnPobh+dgqQYFN1TEK6vB43v1i1+59SO33NeZ2ltWPbaNQC4KWEMG6VLeMOTUR9+JArhmsI1KTRMeEonIkBKUJPlpUS1B2aODga2L0WuUJH5LqW5I3jtVqKTyoQAQQ4wx2hHvPUiyLEtZVKpqLYcgDGUIVFglZcwx28p7JSugVmZOW7fy0nNPvuKC0559+oaC2fQlI0iBoFR6cLEJMgI+KFvqRnz2375zzee++uD2KWqMkS8r2EAOAEswCGBLbBWx3izH0A9yGGM0lIs80iODWUEr5wyRpAIQYQM75Ux6JTMbxOFbRkTdKFneFqWq7IxndMFpJ73qiudecenZMaJpQYB47yyDqJYAHRzS7w27v3wJFL0aVyVtjIAVnnHjzV979zVf293plZyzy8VTxmQyE7Q6TqLL+6Xp7cfmJgtlN6eYOyqrEMghH+1FGomz3GzPVD5EHWW54tmb3/yTV5y3eYX3sS4wd6Awd2HM6W4RY9y5c2eq1L0EeaGLMnPLssRgPUzvHIGsP/FQARPIbn1i9l9v+upnbr1nxrseHIvPDDKKCD6AhJuRjKUgIom1mVmpnwXjCKoqBCYroCgACGytHh1qiAoiNcYwQ2KIUYjIsIviE62LSFQBmI1hZvii3/EuiECNMSAjIhjBMRkAACAASURBVEa8gJVdimeSikGERHKGQQgRopZYDAnA1vzY2Sufdeapz7/g7NNOWmH7YhJeCg9LmI527NPfeOB91375Bztm4JoaA6tEqDNqpdIoxDYY66OJiowiab/txqCSlRKR8OLWDDlScBqV2CsHJcOOWBE9aTSsXlUpF7aq/bQjhNK4PMaYHLv9wgnQLLe/8oKTXnj5j5y+eZ3pR7Ah/dJdB2fzvmpXASCE0ia/rWogYyAEDxFwHsGVD5njh6b5PR/+1Gdvu0PsmLPtqiyBoEaNHh/XuZYP1LZ5ehGrnmu0O5WIMY4NQpVzZK1KyQExNuUFmF5ndnwkv/iSC9/2+ouSpxv7F5p/muLpYTZPmUSpdsU+g2zxrsARP2JyFaWWjAtfguGGOPV3aagWNWlA2UXWrNhlUnhuPLhbPnDdzZ/96h1inGH2RUHm+Ah/HWvoJwTFauPaiSsuPvfy808/a8PYRDtDBCgIK5MADGUfHdl59yxe4Qj95rzEqgSNRCjV5gyVipgVtgJINEP3ugfoY9dc/+17H3CtFaIk0ecGEsPRUhAdL5jh9oj2Lj/35J/+iUsuOXtT04qqApx6VjJHwKTyIyzCnET6NThGVTCZ+YtmxU7B7Rtu3fo3H/xkNzDYFmVka1U1txyqgkiZbRAJoryvSs2JBpPlP/Wjz37zqy6ZyBVwPgVqEFk1BrCzA6kVJHpmWkAmMFyxrn/wxWTzI0zlqdnVofYq3E/br2SZhKJWs8aOlwyvGEHvkU7zn//1k1++/a5Jb5CPipIveiOtvPTHjVjqmEL0JduMDJNCQmmkPHnVii2bN7z8eededOE5Y42+5jnr30OPhRK7ZTirfiBtDEUkZw0DFAtIuatsve1Dt3zvW9/oeU+uJcZ5H5nZMkmoFrsy3/GOcVP2AkpkPoYta8d/9uWXvery88ZNII0wruthLWck8BVcFgcJbyIQEWMpVcNfYHMcAQOUEbtLvP1dH7vlOw+2x1fEsggwDHGGO2XFeZsYXHWtes/HR2+dQ0WOqlIeG8t/42deedXFp+bahTGRchM8rCuCNiwlw0XJVnOkiwcg8eFwicfF2/ceyeOWZVm7llIkd4FVaNj9tF/uPqiSbsYGyCtCBgTg766/9Zobb+0VFfKGD/BB8txJ9NBI89QHX8bCsNZWwUeBMY6MlX7tL9hi52irdc4pG658wXN/7KKzRpsAe9HANI/oKFYwNonnZFCSjEStlsqcqkmRlu+74Zv/9Pl7qqLwVcdlDRGtYjDskrsfi2ywnAgoJlvjq6c9hLJWw/Z2P7ZxonHVSy5/w489f7xFDSNAhDDIKCGKV3Ip4atfNT1pzOcXm8ZQGcMAJFKw5jNff/DP/vHDPWorZ+J71iBvNGcLX1ZhJOeG0Z6cmLsoEbF5I4rX7tSPnLvlLW/+2U0rMms8lES5LwsNlYGqzQ9M3aqRnBPW2tpOBbBr166U4v+a17zmiI/8iFH55ORk6r073PHnKR0sc5apGKPE0plWj5FRMN585e6t//uaLzy8bdLbdoy+1WioikRv2YiE5BQ7UqfwQwUv5Cw7w5DgfUXEROSjBnJ5I5POnte/8Nlv/cWrLHkwRbLzr8kB1G/mIkEMxUHt/6hwRXf64Un943/+/PcffswUszEbZWtEQvClJXbOBYEq5Y1WWcwu2bkfjwimQdEbRNIQY2Sbq8srwSquXv2i83/+yhesG3MSlVJ5bo1EFKMqDAxUYftNTwQ0z3zUICnluCrhnJD73s7wV//0kW//4Im82Z6dnXWGDJNzroroBsnpxJx3Qi6Xbqg6rfE1Hc8cy1+86rKfe/klbaoYZJ3TlGuXNNDq9+tOdQDqmnR1W6Jrr732/PPPHxsbW7NmzZEd+ZGh8jvuuOOkk05qNBpjY2N1G3g8VR/xYV+51n0mFZVhB+zeW/yvj9zwua/fn9nRMouEHKKEIKEihc1cjFouUvXEHwIou+B7RlP5UwHA1jDZyq4pp7b91Esv/I03vnyMh8uvz3ckicJgMECxAgnIIIrYDErv+/xdf/PRLzYtJGoJZ2MRbQMak9gm6eijUhRk7vgQFx4tCNm07AIwloIXAWV5Lj4ofMuE1/3o8/79yy9fO2JJRa0x4ge9qFj7bVEWcrBUgBVh8gBCdGI5RCDIu6+5+erP39ZxE5VqQwspZrkx4qnp5PhQEB0qmoa7VemarV5RZTYPRW9kJFs1MfqWn3/1886ayMsuMhM194wGAOmBD75bHe64QkNVAkVkz549rVaLiFqt1hEc+ZGZP9u3b9+xY8f5559/SJL44dOrvTFRhT0+c/fWt733OqNjBuVMNWvEpAolIM2MJSIfBWzY2qTGX8ahglgN+g9ZEESFKCkT9eS1l5/yh//hyozKCiMl0AJMDDAHv7OqmtSC/bIhRKC8UOyeLP7wPZ++43s/aHOs1JCxIVS2PUHiy7JkqDGGk1+Frfd+XzbjMg4GVYrRM3OeanUmvalqpEYAokoouhsnGv/upZe97iUXTzRiv2udaJKlRgHI8PwNZL3CDmr6VF4ajkkFGkXxxbt3/Ml7r98TnCPJpfRVaV3m44lplVde1VkYS1WvaTQ3XEQtYK2EN1zxrN/7uZdmfhpZMybV7IIEWqtZUkXc4ardvV6PiMqyTL3RjwiOAJXHGDudzujoKPYvmjqnndIcDCvwa0733ndL/NnHvnjjbfexcNRQldp0DtZrkDzPkwdKRKTfa/FIl8D9oYGEip1NufvW9subMPNLz173R//p9aOxC0QxIwHkANIFwp7SrwkVKkMK43YVfNdDT/4/7/pEVuwuhUs3YUPJ0tOsNV1UIxYCNsYwW++9994yjDHLRL4whCyr5I5i8L4oXSMn52Y7vTwbiaHnMlbKArJqZs9pK+mNr3zRK378+U0Dl5ZYFRB7HzmVfj8otFTKk948g6DsIGsKLMNHcg/sqv707z901yNPkmuSSqx67E7MsGcwrdxoVUw552LgENUazZx6bml36sx1rT/49V84b+OYBaJAeaFslLQH6mtnRZg5qVkSQ05NTSWx+ZHqLfdMqbw2imuv99OUkB9YDrssy927d7/p7740+cQ2JSnVWds2zFUoASRVTOW9tZm1LP36XHqCuuwWHUQkUBEYYxhaFZ2xZrZp44a//93XGNdwBhmAqgQTLBew805c8QID4hRVmyzoY1+4/R+v/hzlY1OF5HmTYykiLs+K3kwzyyRG67IqiA9wzllDGj2pxPl8uMsAALAGhfHCaoy1VmNArBqZlcoLUxmqzFijCGDk7RkfLl3Ze+MbXnPFJac3FRxLGJP6oC6Yfp6KO1CqxWgASPBsXdUlq93Q+Mt/vfmar36vUpcxEI9OJdHFBvkSRshwVEumKSAJpWFxofT5RImsKVO//prLf/4nnuv6F+lpPbdzEo7S66IoksF+RPL7nxGVp557qdzBfCKbCLAqISJGGAMQVECoyGUK+AoZKxjCH//KPX/6ia9RZzn8tRQQsmXw7dyKGhMqQzox3vjnt/3SqvbBSTsCkLqeHEcVQ4AK1EbAcADw2JR5+3s+dfuD20Q9jpMaKScquqbRiJ3Lzj35V9/wsvM2rTAaAFGFp8wQWJVIAX5qw2vfUg0FrvvSt/7qI5/bFUaaHAJl3vt2RqWPvagNZ60Ux0uZs0NFqdSwJFWZ581ud/ZFF5791je/ZkNLKRKsByTCGWWIgLRks7BIsb7syccQY3zmtvnhU/k111xz8cUXr127NvW3ne9j2n9oIIJUERuAijAQtBTTpFIc0//86OeuufX+fLZTzG//LeMIQmM0BsG14+xem4+tbOC9//Vn16xfufDVD5W3mSujWMMMqIgyGy1BuOPh7p+997ptOyer6IUJx0mW4IkKa6KIaJRcw+tf8eKf/8nLVmUw6kFmUKfBeQUT+o145tX1S2rCSQpICMZ+48HpP3/3B+7ZSytNwQiT3gpn68cb03ue9KZhF7mR4dGCyfLu7OSKkZHZXpU3Wyhm1jb9H/7HX3n+GWNdn7nM2ChgTcXpjZSYp9JqHRfsd4cX8d6n/x600e7Tx+Ff93vuuefee+9NzTlr4eRBECsYKwJlTjXHDUOjWpqKvEKjdkL8f9997S13Pyq+4LwJWfaYLAUaLD3lGEq1rQbz3/zOTz3v1DFYN++GUUUksnHdXukaORM0qjFEogK97YHH/tu7r9ldNape0bDqIct6/6OLBnqe8hK5yxt+dmrzOP/OL7/u+c/e1Cr2oLkigFXhKGhVUdbw4PkiIUlmWlaxlREkSgiSNbdPye//zb/cv/Ux2MyAVNVHDSG0Wq0TVYZAhtWXTCRkKzXM3EDZoPKXXnXZG696Ua6pdQiQlOZ1a4WD4UDCTBk5z5DND5PKQwi7d+9eu3btUzdT1gCyZQQzeGh+KwJV4fGu/a2/+sAjT85yL8LmhVEbjpP6Pcc5Sh/y3LFWlbg//IUrf/ryMyqljHuYLxVIPNgUZczzVFSvYmOIDMRf953tf/KPnyiryNGPjk1MzRbWWujyfTyaKMvS5Y1Gsz09Pd3KMxNLh+o55539X3/pFasnGqEM7ZwRPQxLBJl5paAxRjZGajepKsBRuUv0x+/+5M3feZggLcO9SDZvFZ3ZBWo1HtfwMYw2G1VZEDu1jU5ZGdbcAJq/7DkTv/crr2wbctyEQiUsUE+y7lMBINXYSS/KshSRbrd72D0rDue633///WvWrBkdHV3IGK+hQckKEH3MHEGjVBVbpyZ7aLL3u3/2Tz/YJc0sK6tpmzerzvHSSvC4R49b49ybruK/f+FZf/iLrwxIWjSZP4wjPgqnFvZl1zgLtgH8ya/c9afvvTaOboid6XEXitJTPuoF5jhpWXCiwrZGpCrLzmy72RARH0WNNTZrm/JNP/mjb/yJ5xj1ChuJWIRRYd5EfKmq4LIUBS9zl8UYjbVK6EZ88Mavv+uTXy25ycVswzFs+2g1VlxskHWxKlO9UiXj8oaqel8CrSAzl5w+8Re//XOrrIFJTVlTovpCOLDy4u7du5m50+ls2rTpcEZ4GN958skn9+zZs3nz5iSmeYoKkBqjGqTuyeoRK3AW2T346J7f+ftPPjZZ2KoH05RYZgiajcVQHMaQlnGoYJP3Yrj01LF3/u7PtBhqcwKKiMY8fhHVmJpwsiqJB5uSzNU3fv0d137LFLMNl6lr+hgodJtZc6aAscvywqOJqug2m00RsM2qqrKZS+0RGJqzP2fjqrf9x1/eOAopO7bRLgX5fP7RUBlrRRCi1lLGfttYoxHu41+5768//qUCrWLvjtVNmtXjo775oaKK4qyV4EdaDQlxZnY6y3NmA4oBTe/D5hX27b/982esbY3kjKiYP5hclmXSVQNI6vJEpDHG7du3V1V17733XnXVVYc6wkN2aKYCMevXr69rZj1VgRgRJWKCCJFCqTLZ/ds7//mdH57dtTdQs2co1+mcGgVakL0Llm1axhGDjb12M/+HP/jF8SaBMxIvMG6BLZaKgoPAMoFNF/yeT371fdff0qGRUUsmlD0fkDWKsuesJYWemPvs4wbtZu59iIogYm3GTL4snGMOZUHNx2flpi99dayVn3fGZgCR5tVHMxtAoamVI6oqOstQMGtRkWU+Z+PKLetXfeW2bzVHV5S9js7rdT++YYyqqsvyoqi8L1vNZsq9gsDE0matJyvzxa9/89lnbtkwMcrz52J571Mqf0oaSpqROh1nfHz8a1/72plnnvnOd77zUEd4aBPuc5/73Lnnnrt27dq6nd1TI5YwuSbVCkkg+8ik/ME73vnAVK5S5qiMbc1GW5VTEyONmY4uJ3AvDRj469961XOedVoGcCyZc6gHA5hnKopXdpKaORv68A1f+9urvzyTrR0NT1QYJbIZlUFCxc7AmKqry56yo4oIkuhzl0FCCks2Wu1eUXDWoFDkjKKsGnl2xUVn/qef+fENY6HunjMH+4oYC8AWlBqVqIdN2aEEAOF7W3f8/t9ec3dnbKVMLeFZLh1IQxAimxMRSUz9LaLCiQlcGiusCCW3nfu1n77ijT/xrPkLbQH7ixExqCVXxx137949MTFxqAXmDk38u2XLlnvuuScZ42kQqY7KAjWtAlnAlxKYgdCb7Mhb/vcH75m0JBWDPPIiRKtlK2uU1XIhjiMP0uh9bFmuqqoyrYbjtvFdzX7tRzc+91mn5UAoCja5QsEuROvTndQADSoBQFX2oKGM6gGoGIpX33znX3zyjl5z3Xi1K1CLKRJKr1CyTpU1LPP4UYeBOmNTXrSSsdaGqnRMWZiV6MU2xDQiZ1+8/d5ff8c/f/ahJhAAUamgJSC9AAXgu/0ZSRbG9g0/MlHIwUO170RTnH3qxne85c0XjeztIXccm9KNKqXYCGOZw/EvS1OyxhjWQOKROnwBhmBzrcpA1PTiTJ51Y/muq7/wF5/+AWKvAqIGaA+AT1VDY997XNN0ajAy582JiYnDKBR4CNSpqnv27BkdHXXO1atK7eiZ/2uhImsArmZ9NvKbf/qhOx7cwZajLqeQLAU0+lZrZKrTzbMm1He73dzSxeed/he/+bp2g03/CZAQxFrbbwinMVViUiAoLCGGYKwlLUH5x7/+4Dv+4WOcNZi56+H4uJ+lP1SwrIX3LmuFGC0hMwhFZ7zdfOmLn/dbb7gslx447wk3+kXWuCaUui9P/0AaBFaTJs33vJJkjR/sLN/2tx94cNtebY82fdnTyMgLX4xZrU5QxylpVDI2c2XpDcGQVt3ZsdH2VS+++D//zIsMQhFtgwOUAhszP+EmRk3pQnVHukOqb34IVJ4cOth/U1Bb6PNuB0Q9k9MqUvbWd3/2C9/6fkbeQ7BM5UsCETEkMRspe8WKhpbqxhr8zt/5mXM2rQxVyDM7qGPFqqogRhBRNi4JikMEgMyAQgnEL3330be+97Mz0myHKQRf5itsXA5TH08gwyLCICIqq54lbuRZp9NptUeee9aGt77p9Se1YLifFqT7F6nev3OxRHBUOAKphwSYPIIf2h1+/53vf3RHOUOhXVRxpGmKAIonapcoy4hKUYXIiIhlyiz3uh3O26+4+JQ/evNVOUSVCRKCDy5fQDdeh0OJKDFqasf2NPuCPl0+TdIZEQkhpD5BAFLbuoW/GJmclgDec+O3P3PHVpVI4qM5MhVklvGUUGIiphjZUACjmn3jlS941qYViDHxuMQkFk5LNaDKxlU+CgBBbpAbVGUJ6+54rHz7+67vFaFpYoVMXNuF3tE+v2UcGqLAGOO9h4RW3iAyQW1jdKLsFV++e/tv/sWHv/3IXoRIKS1g/8I4db1WABIjA0wICpABW60KE6tNq+y73vKmLet4FeUzjWbWKYtYRDphU7gTJYqIc46ZSx+iksmasSxu/Pbjb3/fZ4pARBBla5/C+Z3neeq6jkGr0hhjWZaPPPLI0xnJIVB5quxlra21kHVj6QU89Awgyte+9/g/Xvtlo6FJoYi63C9iyWCs7XlpcMgNqoCLz1z/yy+9MIXOAUkkDqK0TgMAsQLGGVIYeKj3vdk8z+97ovpv/3D17tB2FLmz21nuVX7+hhTLOEbhvafkOk82mXO9ouoVnpujDuGRx3a85S8/cM1tD4IMhSKkMhv1swFgYJUzE/qkgwhWcmobMFkWytUj4e9/582bN7cmImab2WhjNMiJmQIKIEKTBqSqKiJyzhWV9zGMNPJMy0985Z7//v6booBJPKyTznzHSVc4qVkApJQda+3k5OTY2NjTGcnTLeuV/k2dl5PZP2cQ84EEj83QH7/nutlutcKVYPK2ncvyrnypoGpsVvW6TYumiW/9D2+00rMurf8kSmxc8q4451QEZFK3VCaAABHTGNlb6Nvfd91DO6ZCVdqsaV1uQy9nLWXZS3acwVkOVZmKDJelF0HmTDPPq6rKLCNWs93qLz9w/Ts+dHPXNlLwOtFK2pfvOxCxSkDU1HMuAgFcRoAFpR9bYf/qV//dOaeOND261jX0xMwbAmDYMTODQqhUozFEpM1msyh6VdllZz992/1//uGbI7ELxXx9KgCkyubY579CVVXMvGnTpizL0p8WxtOaisNVyFMpxFSHN8ZY2+bzoWK87V0f3d7TkdFWr/KFQMWLLqcCLhGMBmut5iNVZ/rXXvdjmyYshKGaqmumDVZV9WcaEQHiGN1eBUBDVJN3CH/2no/d+cD2ViNz8D6gGzhGzRyHE7T/wAmMhjUhhKqqwJZtBoA0hrKTOy0iXJazynRJH73l+2/962t3dzV1XsUQxSD1GxFm46xRA4iPBDhGbiABMW9axcoJ81e//UunrbOuM035CetQTaUNmbmR5QzyZRV98GWlxNwYy1GR+o/fcv//+sAX4Rpxfr4dJtLEt4nBa9fNU3oynprKvfd1w4d0xFTcK20rdOBmne/rH7z+trse3sUgEenQaAhhdRMdWd6ZLxEoRgnRc+P0LZve+BMXWEWwOSEq4IOIQgGXZelWEhGCJ2CkmYkIuUYFfOj6b9x850N5xlVVWWtFA4zztlmpWZavHHcoet2RVsO5XJQUKQSqGSOq0bJDhMKNxGxUyt4377rn197+vsnJybI8SO83YSigvoKGzJGBUKwglc+aBgAJCY008Xdv/dXztkx044kZ80RqzcQcY4ziJVSZ5dF2U6P32RikKqpgra16M9fccu/ffuIbRuftolc3bzDGpNJaIQTnXKpmzszdbvfxxx9fYCRPTeV1Y7pkwaUX6YfrN5kZ6gMACLTU9AJyx8N7//barwdNmb+SwzvnZku0eJnKjzBIFWyqCCFrrWUNlgQSgmM2jbFy8r/8wost9VRgAKVAgLPMBBrImPpmFyH5zggC6dx5z7b/7/pvBWrFGME2CBhqEFgDqTx9pdQyjhGwa5Q+igSmCPVEGokrMEm0eSsIOfG59Iyhkppbn5z5qf/xkTse3gstoSESFSm2ggiFKsg1Bo8Pe7WRsxw+hBDBUYU0rGjR23/vV85b0evySJOFfFmpc4SW0Rij4Pg3BVJRFiKCIeOiUukjGdfQblWGRnOk8rHdbofQ/Zcbv/zXX9iO6HuAR4AEKLwK4OvLMNwVOVUOT1MshDA1NdVuHzyNq/+VhceZRlkvFAsa+UxAJayUEwQqM4H/z/uvefrXZBnPBEokInlmDaPX6ShI2YGzKCrF5Ct/9HnnnralLCtKxfHnL9igJmepABDJtmn7P99/QyPM+OV6Kj+s6Ba9P3rnhz916yMga1VcWulVLYEJg005AFjLoQpQmH3dC5RCsaaJ//FffuP8FeVMIOSjLeOjcdO9kkOh8xT1PgFQe6QBrqrKZXlR+o9+7Orrbt/aABwgZAFxxAEO84eF0xW21q5bty7LsgUY+KmpPNngqfHjQlYYGQMBYbqQ1JLgX266/TsPTz71SS/jiIANRCHRaGAG26wKMYLIug1j/Cuvv8ICLh8BYACdLzsfiICGSFoFyt7+fz/38CxFX9hlqcoPK0pkO2LzT977qY988U4QU1UaAOy06iE16CZDzCEEAvLMqpIAksxJBRm1Ve/0lfbtv/H6dWMuEnnvfVllzXHbGCE9YW2E5CoB4JwrfeiVvjEy1vPyjg9++tsPbAeYCCCJPhgAZl6CJqJaobhwNfOFqLz2gz+dbsiigERDGGswoPds737gxtuyxgm76h5rECVmIFYSQ7PZVuKkIJai96afvXJtU0mCwkAVhAU0R1YjZ01AP/T5O//t7kfgSzO2NvSml/BUlnEMIZLLGIGzP/+/n37Pp77OWR56swFg51K2SRQAMNaqKiBEmvrQK3MUBSxBKZRnbFz3p7/5hpWuUG7kBj7GkpummlecdwIgVT0E0G63waaogsma01V86zuvfmSPQMoINsaSL8P8BVtijMMKBcxfJeUpCLr2jKfA5gLhTSZA1aiQ74ia91z31e0d2GrmKU94GUcEKert2KhqEKl8dJZZw3NOXffyy84hP8PEkgoWkiy4Lgs03PfozD9c8+UmUybl7plOu3XCKhCWsTAaWkhnD0mU5sS7rvnSX37wJjRHDBBCFEmZ5ck8ADSqCEAa+u4CMVlUpqwFmxcx/v/svXmUJNd13vnde9+LyMxaem8sjW7sG8EFBLiBpEiKJAgSEqld4mJStDyyPNIcHZ+xJfmMbEu2PD4+mpnj0YzlY20UtdrDTdzBVeAmEiDBBSAAYie2RmPr7upaMiPivXfv/PEys6ubXVndZKO6qxi/k6e7Kisi14gb993lu1edv/Vf/5M3TrtG2TvnEOuy2LDp0ATLlX7jevM6xCaGkvB40/mt//w3+yuT3Ggt5YS1iYhUVQXgmMnn5ax4Tt94441zc3MAckmjiMQYV/HNxQEJ7L98597Pfu3OXqfr1n9WY73AzBobImNxTQIRSQo+Lf3yT10rZvAlFB4gssl9ACAP0P/+l5+q1JVpMZFMO6s37Dq4ZRU6NiB2RGRNv5Hee2++7z+++xNLdSJfJhMb+nBqZsQuDwhlR5SSGoiQWCJQxVSIAPSqK87552+5lhmhWtzs64Y27KqdIDHG0hciNBgspRSKwvV6vRhV0Hznqerf/pf/z+AGTawZxcQ5LTmuMm7fX+n8XdE079q161vf+haW1ZNOmMUMwIDQNEjal+KPP/RFL9zVpQVs2K/qdEOIAQQ1BRuxcw5x6eVXXv4jl5/lyBIEzDAokjHTypfYGnj3x2++67GDsJTIJS5FpN/vr907aTmdWGrA3hsSQ4uimOvrp2655z/9+YcWG5jjGDXFhknzKHYQhWgAREhSEgxnQHacsKU6KJje9PJn//JPvnKa6qoOzcZVtc+98SEEx1I4TwaNaWlhsfBTFJdiqr/+wNwfvudG6jhgVP13LMaGO8dVcpn/MWMsK5ryqampF73oRblTf9wmMAEFfFHAle+98Tu3PjzntSnCYu03r7pjy0khafDeZw1lI4algvHzP/XjCAOCJXKmWUbmbgAAIABJREFUgBmBJleAPfLEoT+54RsINWtYSN47XgiYmW4DLD+kxKkzY4yFqbKvQ5z2GIT00Vsf/y9/9K4mgR1nW5NizPprzvuUDKYsZql2UEKENURUejbySPpL117x6muuip2tjjbscq+JodvtElGINVkSssJx4ViDkqMpGdSB/uqzd3765ttLLJFbMZ+ZLwkY5T/HxYTH2HKlh9ixY0dRFFkTYLk/vtJEbYE2TdMY/vYzt9QoHFLtpqZow2ovnG5EY4SBuY5PVcHqSV/24hdcvbNG0WVIAZAAQgTnIcPicasN2gAwheU1nv72X35BiZoEsOtQjE09U5YxbFjvqWUyZVhwUgTyDCsoqSpBnMb/fhd+708/XMfoHQEQZtIAgBBFzEBqzFICbHBGDoDBARAhU/2Xv3TdC86dTikkEYBZCXDqOw0LWSrDKnHh0x/HMgxNs09G+aZgk0YgMTopfG32f//NZ+/ZX6qpAREwAGowxAQbqd+MzW/Of6aUjllJeGxTnsvJsx0fx8fzpWCsnDVu+xyLJhZF8dcf/8r8wYMd0eR6FKsqbFjthdONLsfKz3QQau4WiKGpf/mnXzNB8wEAlAhBgEQMU1Z84PO3PfLII/1+P7fyjmtjW/mzlqPoxfkv3vrAv/uzj/ephBkgxp4tmaomI5JsN1RVLU+noQREA5ExaY/wW//zWy7e5skSM4tzlmqrFwrEkCj66VP9/p4pUtLcox+bUJZlFeJ/e/ffNsxqUQBNCUQgZKNLZGMfPJ+GucbxmKfkil65c24wGCx35pdLuuQHGp/tRARLA+MPfPH2uq47VlUmZOrbrs61ItWDaK5O5ooypfSTr7z6om1+gjPNQB0NpgKNAJIuLlV/+rGblxYHTC4fLqOvfnLFS8sPI66pDgz0M3c8/u/++KM1+5CUACMQO1p2uDCzEBOGLSlMaOoaSE6b3dP4nV99y/aZTtWfTyl1Op1SiFMou52ljbuYJ3YAqaowUkp1pJtvu//jNz/A5KCNkIKQM8YYGesskZSlNZh5MBgcU4l2Ra8cQLfbzTvnoMp4SvQxx1uwyEe/eNu+Qw1cwRphSaV0vHG/k9MMLsou6vlUIAycc7/yxheHqj/BApNaUZaAhKYqAfPuLz/+5YcOVGVZ5jGyWQT1+xhM1fLDAHemZjudOuinbn3kP737M+wFqVIIwESCLLk1CsaamWkUgAFfdJAMRM7Ss3Zv/bVfeMOW0iDoN4GlSClpDDQhL7/O8b6MUc1MhELdKHua2fEXH7pxkKCqWQQhEWAgGMzyRQ6jIT8Aut1jL7WPcbKP7XWuiMSyhOlYemW88djVr5N7/43fNCODU+IOQkUda0cTrBUmpdeq7HZSSm948eXbZ5zv9CatiSwBqKkQEWi4Y+/gLz7zzV5ZZGc8X8LHsbnWmrccRW1OY+U1xKSf+eod/+09n63QEWgW88Myadz8M5lSLqMmguskZZCEpnnD1bvf9sZXaT1v4mp1RXfWUujJ6pqu6xW1lAWlzcQRi68SPfzk4mdvvp1dB9CYzJDHpmqe/QnAzMa1Kzk6oqpHVZof22/L7tjYO8tx96MU6HOIfNzN/+U7Hrpn735YICIDwaxRkxMZONfygxBjbIx7aanb7b7zuqvBAtKJkjmomxoAS5kSvfuDn53HFKd6fG3OUfJ8AJ3o8O+WDU8z6PvudGz6PVSJ5N2f+MZff+oWBWdF1uyPZzMy9M2zGB+QkiUgkSxWwRdFkZq3/tg117702dwshZRAhYjwxtU3D6HudDpVk5e8BkspGvviA39/SwNgNHSTMCw4y+djtsZ5oZy1cHM1y/JHXtErH8fanXNmVtf18stsZuyexxjf94Vv53sEycz6iTqs1pqAtcI7ROmlavHVzz33nJ1bAEZME6+kVBalAxq1f7hr3+e//p1eIWbmXMHs8hedT0KWPFmopeUwvtsbDAbTvVLI5hcr62398w9+7iNfvTdE2KhyLm9JBhhADuAYaicEhTCmOj6GAOYpxj9/x5uetWu6Y81Sv6oTEm3Y5AyZiUgTEwmbRtOmU4qmcOejh77z4H6wy+daVqdJo3xkDpdnU5wd86Iojg5xH/VMdV3nOUHjKDsAIirLcqWFdl3Xc3NzN93xUEnJ4EgDESXX7UqqYmsC1giLKQBS9n7p+hdVuQFP3KS+TpImqaBmpnd98HNUTvmwkGiY7cwXcuahkzWeTdHSkumrlByt6Vfmi5mt2tR1pP/jLz957733hjAeZjD0zZFl2gDnPaDCEMBS8I5gjhA3u+a3/tnbZ0tyzrmyF457UOW6gxlVUxdlmUxFmM1iMxDCQLr/8NVvgJBSGq5fRgPUU0rLNRHHjvlRvfdHf2R5zHN23Y+y+iJCRCAKIcBqhQFaAWWBP/7svaQpoGSLSi4ZlQhNgpcN+5WcKtSiOFq+tjIjMzLWaZIrL9ixe9fWTgLASs2ENZEaSgnQ4kOfv+fOJw8lU1YJJFlofrxZSkkThCcNimr5IaRHVYKPPM0gDotMEc7XQX/5Dz95/xP7IxAMRGR51HOKMrROPLY5LB7kwApzpdpzzp7+Jz/7WsfBzMrYBDiQZ3Y5/WZwMcZi/S/yjYRBbErJTNloWHRfWnXDrU/3k/cSnMKo6JMvdCiagmPlKbOI+fjXo01tDspMSHPR8NIqliLAHhiE4ss3f/Okvt+WFfHeqx6RXMoNYEEZ9cIv/MS1DMrtnAKeECtn0maprpk+/PkvoVEyJMde29xGyw+EhsGv/8HfPXlwsRQNxoQQjLGy5kfTRAXgypTST7/q2de/8AIXlyo3W1ASNE1/oVMwIbJAxPfrDTtIclA3c3Nzj+7bj2QgEK2+MOn3+2NhFhxlyo+c8bgCFhUAOecoARKrr9y977G5xe/zHbScIKaU4nAeSK4UVI0pBS66F529+ZpLd7IlDF2gyYdDXXRnP3bT3d966Ek2z5oSJd64k9Fb1oYKvScX47/+r++fXxx4ihHe0aRJvlIUVUgJEKGiWfzf3nn9RTu7DXkNVeHdps2z84fmoJFhydSVvbV7J2uLiAyq5tv3PRRJckV5Dm2vtH1KaXZ2dnmM5choC3Oe4TnxSU2R275zaZF+8Avf8L3ZH+BdtJwAuW03e+I5BzIUIo7xJ177kiLlEV9ZkZwnpT011Yy//cjnqZhNRMywVZUvW1pWo0ZnmuO3Hp7/vT/9MOCCAkQOK5oUA7qFxKTJQF4KXfrNf/qWGe4XZefQ4qCOVna6RIBGx6S6Yb3yoiiU+Jt3PYjRZCVZ+UPDKOoynuyMo0x5Dqivfj4bDEAyAP0aX//OQ9XGXficbozriGKMuWsgm/WtHXr1S69gC9Dc8wsYTyxg6Xzkpjv3HhggUo3ITrySrjzNpKXleCh0sQrKzdKXHlj6f9//pS4jAUjVhF0IoRQ1YqMuIFfs3vTrP/XyEJqi0x1ESGfGyBGMLOVmiA1JdtFuu//RBshrakHCyiMpMsvd7sNW+3hGBQEASR7Knrf+wu0PVwnaLszXiuyGZ3881/vXdd00zRteeNlMAUiBZAwdrcxWvLAPyH3gM1+OxqJRhIKxoAjrX8ao5dSyuSNVVZW9qbqJ7/70tz55y73OImTFwMhI0QmqloCAwgFv/tHnv/TKSxGWyk6xMKiNWM3M1G1cIRCNQUSePFQ9Nd+Msl1xsgbwciUVHLOufHKAxcAOiQFwAbO/+9IdwtwrN+w0kNMNMwKGdaK53Egt9qY6P/uqqzUFI6cKQgCQhpWpx+bG2/Y9+OiBJqbCW4/RhFQLs7ZeecsPxP7FpS2z3aXkKA7U+D+86+P3752b5CBoNHiQK9gcsmouhNO/eMeP75mluHiw9A5EZijLTkgbdvUvTI64RvHgI49h6IKtEk4a9wrlXw+b8qHu8KiifKX9I0COYKlRhFDf/vD+phpomLSAajmJjNVvcvm/qvZ6vT179px75owXCQCLIAvWMmArNkC/99Oft+iKjm9SJXUNUCXoubbosOUHwpWdQRKXBpBuQalO9Bt/fEN/ccW+BCKEfLyGBlpbVGPA5NwZ/Mpbf7KkIKRmBuGqiSwb9vhkaEpBWR7Zu0/T0Pyu6ljlNfroEZYRQjhmRfmRT4mQPJF6CzfedWAwqLk7K5Ny1C0nE0dNk9TM4LsSqymnyeTt1+yBiAMXyOG1KQKEAOphmKMOmkINwCJSfctDi9++58kgzkIi7vTZedaepqoVWmj5wSBTgRmJMMBc14MnDhz6X9/1OUOVAFRAzMLcAWmABJAr8jHrO+DS5RgKkxque8Gel1/z/FIjwwU1iPMbdlIFohWJ1cf69ieUHQk0Rb/qhWt5f8kRU5xzzfLk1j4yOMcwAvtbb7sjaR4QvGFjWKcbwah01MTEMBNXK09JeOU1z115j1xoJCzigFjXJuVHPvP5tXq9LT9cZF9AVUOombnsTtV1c8899/zpJ77BBniYg8a60ZRkkpg+ox6g/J1/9PrpmZK13/FTqRrUGzftSURZcHb//gP5Hpk4gDNzjLRnroXI/2YVrRWfEkZQEA8MX7/tO0QENZM2Vr5GBHirl8qyFIaSUypf8dyLupPS1ckAAwMQqCuKxw+Fz3/tzrV6vS0/ZBhjJK491PAj9PuDd33sG1+56yFIjCkWzgt3EoAJCogUPFBY/Lf/0xsiki4dmu5uwsbVAhoPR933+OMGZMucTqSc5LBXHmOcHCUfP6VpVONHn+rvOzgvImapzZatGa7TgzbOuaa/FCKM8LOvu0Ym5CoMbEhZ1FYj2H/481+fC+0qquUZYTyxbNyWLOw7vemqwr//8xv2DsxzrZEIKGxi4TRKpw06/mUX77juxc/msrfYX2Js2ON2pNBOc/MLY+WqiY0hR3PEsLfjQ81MCbfccV9Dhao6IKTWlq8Rsa7EZWUFLYpiz47Zy8/ZDDfpK8/l5VETiBYibvjCLVRs2K65llNLbjM0MxFxzuW1fgihY+nRef7Pf/OpEB1TwnCQwYrLSYNXgocad3/7za9xvQ4K9htXZgv5KmjURCz1Q7anJ9Syd0Rd+fjfybuwSARuvu3uxF3T6MQmNfq3nFS0qRIXGkNZdk2b615yhViccEqABJZoeFj4m25/5JG5Gm0fQMszQxZxzb55ds+ZnSpEhGP1qa/d//4vPwBACkQCrxz7TgGRCkJSxXS3+Jdv+1HqdK1eWsO3sqYMpcVhxHLw0IICdgLuNZBNwPIJEsx81HCKYz0lLwXc89BjSTwRsaZ2NMGasalX1ChIQxOjI33tCy4lGs4yPyYGhqkAzBIMH//iLVZMi7atQC3PCKbkRZZLgBCRc8V8U810OEb9w/d95t4DGjQ5ZBHzYyMeBVAHE60i4yevOufqc7dKt1xp+/UOI4+YEGM6tDAPZAGWE7DmjNFAitw6GGMcz/A8Jvnr2X9wcHB+ySAMS6HZyMue0wxrBpVy6YTEnXvOrgvOmAION3d+L/lkypP7Di7UX7v1rkC+bL+wlmeGPHxKY2RBURQAx6gxJemVdQyzXucr/Vd/9N6aCGkurryaTDAklOLMOacDwP/Hd1675DasKc8QkSb0BzWAEy0LHE6WyJ54nhmEyXXl4oH+t+7aO3DTBSoHik7S5A7TlpPHIs/s4IMLjSjCdc8919FgslBDGilGCzf//cZvL5U7p6rHK97gp0TLqSLlLmNmWB4Lp8zKlKRJ3aITIjn2Dz964F2fvKOWzS4uAVBDAhIQYzRLljshEiBIZgSnKBOhNzv7b667EOJQJ5aOiXVliZWqOBR6Wd+4EuiTIZE9XbOk43pLeSzMI488gnGMNXvizDxuA10JVQD+/gcfAmkazZqZFKttOamwNgGFOO1AXnz1ZbBuTHHC5VsIgCKGBuVXb73b6v4oa9rSsnaI9/Pz85zHLoA+8OGP3fXQnFEXmpgQm8iAOJfnXTIgMmxpBpSZoeh4XHftay/cXkqvE1IMVVUlL2VBaT6uf519M4NxllcaTkNdbfscIHn66aeHQ4XyH8Zd+261unRhRJTfufe7jniosQprTcOaIZQSTSWE87ZvvuCsaQMSASt32zKgKUHojr1L33l4X4cCyB/PsdLSchKJamV3KlcoAmjM/8Gfv+cgM8hg0YvRUHGVyUDQlIZNiwAAhSVS9Ar8+i+8frA057rFTG86ojvfn988U4DWfUO/pmEsxMxCs/rpmRVSs27HEaY8T6XJ8kyrPIZhMeGxp+YYBDCI8pqoZW1w0JpEg776hZcWUCWIuAnin6TGzCD+6Jdvq7lbcmpGU71bWtaMXM3SNA2ZMjN8+e0Hn/irj90GciBmEU2BbDjiGctivKFpYCZCTIaUXvasXa972bOaemGpUi9ehAah2QAycFlNJXvlR0kerkTuBJqens6zhPipp57Kqc7jPb1VH9h3aClQSgEAkTBa07B2sCFq6Ip/zUsuociWW6XjyloLZCCqtbzx5tvFl5Y0KrxrA2Ita0oO3kYd2uh+k6i75T03fP5b9zwSwSM7RmbDsjxmZLfSj5rPiUxEkOKv/OxrZjmBnLMwPdVbaFKx/rtAD09hhqwa5cayvOZ4FDN77xcWFvKfx/dOgvnuB/dSOTUUWyBADa0M01oh4k3D7h1bd+3ogkFQNqDorLgDAeBvPvjU/oVFbzGQEMmJdIS1tJwEhJBFQczMUux2u0uDqlb+i4987kCEEhExhr3rlEuyRkcpg0QVKVmMEc5dtLX35te9VCg2TRXqMDW1yda/KR9FVyiXAA3vtRVdrtw9lK92w4ufc67X62Ekm7D6c5re++A+5cIRE4kmA2my1jSsEUrwxC9+3kXeCFAGk5lhQqyQDfypm+5wznmronSNoOm4VnAtLScNjSEEI1aQmQ0W5manp4joi3c88tHP3Z4XlRpqIhhgRAC89zm5N56WJSIBINO3vf6luzZRZEbkToxLcd3bn3GgfBjhOA5LXFXVciFbLoqiLEtVzVNpjseaP/bEU1UdABvOsiFuAyxrRhOCI7nquRcyleCaDOA4Ib+Rv85/+OadKTQUB8kcTrAhuKXlJGCac55mxtBOWVgKsal1att7PvTxJw8MQGDvCUgJRIcnKhAzMcdkSUeiU4k2e/z89a+SzrRj75oK5cqr0nVCVkbEiZybnU4Hy3RuOf8SQhhnG1bJfDLufHgOokTsSZ2Eijc5a7sH1wjlouv0FRduBZYCumpq8M4iEGHJLC+4cm0TYEqp+fI9+w8eqkRKdT2yiojcyl12LS3PBMbezMjUMRlJNI4KEfH9Q/ux9f/864+n3HkeouOYgHGDCwEEOCFhEOCB5ATWf/MrrrjsjO4SYuW4O3F26PqAFDFEIih5xxDIxLj1sNFfdex8MxH1+/2cA81K5SKTYqkLi1UzGstkRuOh7yfvPbVMgsU/5+JzvGNQiVy6BcDIVEGUO8RG30YyU3DxtVu/bRgu35izwlE7KqTltMCK6dCfv/WuBz/9zYcMTMJqDisHbMmSAUqFUHrbj72yoNiY3wD2R0ejlYmPy5yOdVbG1nxYmZhjUkVRDFdAKzv5jz55IKVEpmamANQYtv4r9NcNIYQfec75ZJooyyEOJ0sQSU6SZF06IsqlpxXhK1+7DZxDZzysE0jrPrbYsjGoEnULmavxh+/5bENACiAwTZCHUzVEdkR4zXN3v+iSPYkkhHV/PA+n9RIAFMc3/iE73ONeIXbONU2TC87zYM/J5Q2PPL2gRoRoRkZMnBuE2tjrGiFIL75sd24KYkOuIQIBEBCyhtHyq/p3n04PPz0HKQAQWUhxPB20peWU4xhJlYvuoweW/scN34ArGZMMkEF87mknV9rSW173op6obQhtllxUDk2+kOyiTchbjocwxxgHgwEAXlhYGI8NEpEsNDwhXL734AKxGy6BSARE0LZxf804Z/v0BWduAY8DKYzcokUAwMy59cvMoloyfPlb95r0oinZsAXMlNq0Z8tpQolQRZCmwsu7P/z3+w5WE2aLA0hgQiOmFQDmH3n2OS+65KwNUAw99q7MrHscWdxhNIbo6aefzilivu+++1JKh/PFRLntc6WH2PvUAgAmmJmCACVTbeW01ornX3AGMwziAJiBfNbFyeusfECoqhGEBcRfuOVb5rspJYYygdAWlbecRlBKICk9qsX5RSvf9aG/B68m3BmjUF6MltDB269/Gcd1r2OeXXKCkqXp6dUnw4xN/5lnntnv9wHwFVdcMVa4zWrxk122vU/PRQPbqHrfjCwZt6Z8jbjmORclhRqJVgAiMFwgDdWNFVBVJZACS0vNAw8/EQ0CgqnF5JxrmwBaTh+SOIKqaq83Zew/dtM9t3x3jlZ2zJ0hUQmwA0ICDFddcsaPPGfPWr7mZ4LxID0impmeXlWpPAdOQgidTufCCy9EjpXXdT2OqGR/fEJ1+cGFfkoJpERiBNu4M7BPT5578Z5EMAYsgigCQMyFSeNvLX+JVZUeePChJmmM6pxj0xibHEM7dS+/peUI+km6DiHEQbTYhLrY9Efv//SkeInV5oqkLBbJMaRkjW9702vW7hU/Y4wyn5wLxkE64UwVkRhj7qLK9zARFUWRT/5xXGXUcZSACKjaKACv6aEnFnuOGysAlThIrmck0nYPnnSY1EKCMDuOlbFXKc+Z4V3bpwuCAyDTBHQA8JQj1GBBGs4SAZHFqSJ+8M6FBPFsFuskZZJSU+3Z0oQKgZaWNaTHgwiw64h4ccTVgfsfePjvbhtAlxJQAzAghCxiblqDSwcIA5RFXJnZveD8bddcsr2QCCa26BjJdZtExfrpdyFNkUpLMaawfYqMHEZTeVfCObe8xmFCo+YohDLCDHUdch/tUZ5dWxFx0lHVXKACgJmZWZAuvfj8lbYnACIANCUmgBjKd91991q93paW74ecZksxqkaGichi1XzkE59WTCUFqakGOA/AkhGvmMN7y8/8WKr6qkreV1Ullhxz0nXjsowtqnNcfF9qd5P2GVlrJlj+daFfZ1P+fTxTywmRy0OZchMWaUzaDK6+4pKVthcAlgUsmAEz2jdfP/jwI2v4kltaThhlR+yE4AhqMamR79x69wMfu+k7zCi4YVMQsoj5BHt11XmbnnvxHiFOJmV3CqmBpbCuyjFyx0e3KEsv38frnmTKiSTLAhAZAUY4uLB0TDvehl9POuNSfYUZk1p0FJ998e6VtufhP4mdEGCgb393X1g/XknLDyfELqf7hExAKZnvzMB3/+qGrywpYArHuaFNmCYMRugAv/Djr9HQj1laKwaG+s70Gr2NHxzOGr86PdUdO+UnZFVXOdVtnIAwGLB/vk/LQGvEnzFUFWZQA8DiiOiMrbPn7Vyx4JQAM4WaASlEI3zl9u/KqGOgpeX0hIiy8R0KcDNXdTDIfY/Pf+oLt4L88vDtpC5Qq1/8nF2X7NrqHaKa8wJoXE/xAyYymG3eNH24i/uE9l/5T2rDVkLAFKQK7F/of29YvLXmzwQjdTNDlr40PX/XGd3J8jokEFZAhAy44/7HU2y/mpbTGtPomJxzMaoqiCSGmszIdd7/qS8dUhchNBQyn/hAih7w5utfmfpzRVEYiEGhXjdpzwybbtuyCdAJKjQr7rviX4YFbtlSD93DxaXqew132wj+TMDshnopSnnJeMmF55GuOC0oi66MfrEDBwaPHeyvJ6ek5YcS1tG4G3YhGYDCcSEG1Xv3zX36a/cGIxqOrp1U0GHsxOKrX3jJ2ZunmxAaJXbS7aybVWnWTWLmbVu2Hn9ghflw3coRpvwIM33Uw1kyoA5x+cYZtBUszwD5g5XRZdI5t+ecXcCEKn6NloMsAPDw3scGjYms+/G1LRsbglkKVdWweBafJaVSPWAy7m7667+7QWnoj+uooOuYKAmQphjXvfoVMWrZ6cUYdcKgxNMMMyMDC3q9zglFVw7XlS+/9wiLzJI0FECyBuaTFKXqvsW4fOM2Yv7MQRoakxBqFvWC2uilezx4RdkgNfakoCYLln/hgUVQArcNXC2nNQkCds4xLJg2ZikY1BVkIcbmoUO9j3/1ATQEDOJEd5EBkGcd/PSPXtlzGgfzHdKBrhtdflPyQodSeflWKFxWOZ1s0VU15rAUgBOVwWrW/+Cl9YKqeu+JKMZoZmdum900MztheyKkZACnZGC59777UkptL27LOsWYLLF31Qc/9g9WMqybQpww6zIlAxTspjv8iqsvY8JAqVOsG1MOADCDbtk0Mxy3YSu/WwBA1rI9bMpXjo0cGXuBAVSvtzTC+sWQAKRRHOuiXTucc7ZynSyNlllCFsH3f/cRIuI28NWyPlETTyDDHQ88etPde0HoeoBWdCVFCDGBZMrjjS97nrMmcAfrpws9xzcc0s4d245n+zwmaPkIz8l15TT+N1clVvW6iT2tdxxxFsbJorVX7NkOqE3I4lPWXSDH9N0n+otVA1qxNa6l5TTHlFlSrLmzZeavPnxzRXn8/KSogKoaWICrLti5Z+cW8h2sXCZwukHEpKl0vH3zTNarzm1/KzEeEzQUbDmeAMvQoAMgaiYNBG45mTCzmgl7IopmV15whqY0qXlN82ggFtM7H3pSyY2T0i0t6w4iqJGlaJCv3/3w/fsOYbXWTWNSgCz1Cr325S/kWMk60hpi0hS2TnenitEFa7UV9VExkuPwypfdUzXtTMg1IgvlEFHTNMx88VmbmHmSYSbKXgks3fPIE8kYoIk7tLScvpBWSl24UPctFfyBT349MgErxr4JKq7DGFa6XPuyq2axpOtrJIWls3ZuF2BZ+eCKq5CUUrfbXR4eX9GUG0DDD+KwPRhPqGhZG7JnvWnTpu1TbpU+XlMRVoBAd3/3sUTcjgpqWb+YhkgFCZes4vzff+2OfXPVpBPAbDihnimpnD2Ll1y2O64fU65gwHbvOoOOrxLxKC1bHE+AJS/S84cYtXXz1oj8JeXZ2du37cxlhZPCWykR5Q30oceeJJI8EGpNXmxLy0nGEwKSS5aRAAAgAElEQVQaoMs4VPWl0uZLN90+aQfK1VoKIhVixWtedpXwuumrMDMBbduyGWZZPMwmhliyWV4+uXNFU04KIBkBVMBACCCk9VOnud4JENYBkR8Y/cjZBaQHW1niE4DzilAkvfdgdaBPYg3CUlYHbWk56SzvDcxtisORZmwgNUK+KXG+QSNU822cwjHCuDFlecth/tMUJ01VQtdxXVv5vs/dnMe+5SkKwbJOUUyxATTBOQ0wDREeyhRfcOWlZ5SVwXkhaEimkR2YyJLQaeeSFtZf6GzfPWWAJjVYUmBSxRpRns48ZmWv/FgP0qbR1owcKGdmBzvzjB35zuMoSeG9+54UZjMqiiKFNiDW8oywXK5j+QyD1ASLiTWKJWfJW5A0kDQAFyYu38BixEps4GRQEFjyzYiTIRkauBBhYBYH8v0qPD0/+Pqd+xBrgYqZJzBD1YgdwJwLpnNc0RhAt8CVz7rIkIxExDGzUFJVBZ+ei1XWuPvsMwBiZiyrHjwmTdN0u91ckjjc/TifJsfNW1O+ZpjqsGBFmwv27Doc5JqwCwyE+x59AhaNoNQKKrSsBUcIePieuW7iTiIfyScIpCOu1NhQasSiQ3JIYhHaQBuxuPyW/+qQvPelI4+U6pot9EoXon3qi7dABJpIQ04JJkUuByCASAAGD/trCuA1L3q2pdjEFBWs0amaGTt/GlpyM/MI5+7aCbNlp+2Kr7Qoirm5ubuXzZaZPHriSFGW1o6vJZryitVZ2n3mdgA2eT6U5TYuPLDvAGkykqaOy7MiLS0nl8PNKZynpBARcVbzVNPhkBpKhkbJd6bZTyn7YNwoBWNix+Kzn64s4xuch/NV4mhsJCaefdf5zpL6G79x76GBRnOQAmYpWe66IACWQBKHLwzIBeaXnLN1upNSMmICCCkLiJ6GlS3GvK3nNndHuuKmBkzQR1TVP/iDP3j88cfH9xyvV26wVgFxTSElFiKa7fptMwSAJqsy5MJRwn17nxZEgyTT9vtqeYYYx7hzGDD/rKqFDQqrPTUlaykomIRAplXdb0JlKTLMiTkxB3VQ1rT8RilaaLSpC3EIFaXovYelpu475xrpffqm26JQAkBiGFXbasi2z4YTWwwkMGzuybMvOts7sHgicjCAFQQ77bpAmfm8M7c6ADzMR05eOjDzO97xjptvvnl8z+ppTFp2BWu9vDWDDUYMtTO2zTJgOUc0YQczIk6EBx+fKyBG8L6MqWFqM9UtzxSHs5Qjai5AGKZAVbNFIqJOp4QmVTUkAXnnytJ773Nx9PhikEbMDwLAKaWgUKSCjYUr43/46jde/+oXeEB1VH2rynQ4/EjI+UIxBSO98PLzbrn9gb6BzUDILdCrFfaeAgx88e6diI26QgDkV7vyy1TV884773d/93fH96xyno+9urx4b035mkGEJpk3233WGfkeMxCtPN7QDMCTT/UXArZZSihEWNOkVv+Wlu+b5RUsOecpIiISU8MG0VQ4bJrqnr1zy7m7du3YvvWSTWFmamrLlk2bZzf1pjqeR00rhuVLRzOomqqSF2epPwgHBrq0tKT9g/vnDu07VB9crEghWoMAlBiOTtTh6E8DkIDstoPVXvSsc/+Ek6lpMiUyYjPzFBucXsVdqnre2TsFmvJaB6uEs5n5qIj38bpsZgZC23WyZjCzqRHRGdu35WuzESbVmjID+uije31nipbmwZxS41lOwwxPywYgh1aWh1lEpCzLay/ffe6us5918fnnn7N1WxcFAAuABiqz7RhlJS3XgNPYomOoKSUCGY4p1l7XS092bOuV2KaKipmBQhWsAFJszBVGEHKwcbGWAhINjgDmC87a3HE0nxwSAQwWVYWddtFyM9uxdRPYbHiBHH4CE3Y5Kny6siknAAIFOALCVMLQdaddjGmjouxcnWKPLt3pjUEK4TpSudIXZgQXlu5bYN8sDni2I4EVA7PCsSVVVRZ4lpyLEpEKzmIQmBcyMwUbsSkZApGMBl+AoaxRHKlOxRgVRo5I2MzUzMzOP6ucmZrevnnTlpmZTd3uVFlMlUXpi0C1maVoIaRBVc8tLj11cO7QwuId++qmaWKMTJYlMsiMGSE0wuy9T2pVNIKII41JnWNNQohq4goAoVrqdXxo1YBOKoVJE9V1elFD1fQLT07EognqynxAIeR6jq1ekpL7zcDJjBrUbFO386w921/5nHNf/pw955wxOw71HoY8cLQPTERH1NYe07CSR3a8AYCZ0Rv9CHQBCC/bl5wgL1lLAEOJKXIJeMmluz9zV38RtdImMZ3SNMfFisL/zzQai6JomqhZZ0nVuaKJgRCfe+EuaAVGUghRCSQq82c07NMcrYSOmQNbPcCy3InP+eKWNUBVRajRuG3LZmCY9FwlvMXyxP4DZsZEyZRBzByb4Jxzzqlqlps3o9BEI+12u01T1SF1u11OoakGRemDGROMxcBK3MSoJi4R0HR7snv7pkt37bjwrNnzd85efM4ZZ5+xvVJ1xCI0nC1rOgrwjWJBlgOUDEIyFdL9Bxa/+/jBux556pv3PXb7A48/fqgfgvR6mxpN/RBFQ48NiE1g5cJbMg3EVIo0qY5Re1PTdTVoF4gnl+gRTUOz4L1M9QpNSUNkSKQtUzJwrh9SXGq8+WmvXPqOaf8lzzrv+hdfes1lZ2/Z1ANJID4YsOU0+1oIuOj83Z+47VZmFuKoKZnKKRUNTSkp4JzDaEHjxW3d1PMFg4SAowz1ZAs+xtkRZYxH8L1ptk7RmvI1IiXrOh+1OevM7aN44kQ1LQBSPrR3n5k5RpUU5Bkm3o/KwgyAc05EYoydsJTqRChUiqVInnzRgYPGZKBIMLLkYNune5dcdMGlF1/0kvPcWWfu3D47QwCpFUwwIIUOexyO/LARDKYAmfAwcUNmYM75LwbStq3TWzbPPvey83/+OkTgvgefuvfe+//6C3c99eSBRs3KLYcSA5iWutMcqrQsCk9A0zRM3Ot0YozReN0MbVwn9EPdLb2maBpgbEmZnXflQrXIhLofjHynnLEYpsv4hle96Bd/9PKpqalOWQBIpmzRw7Y4zf7y6YMAz770fG1uplI8IWhUYx4ejqcAZjeWP8k5BrNkphfs2lFwFvI9LH1FKwdUv9durx4rH5YhAjArW1O+hrBp6bBt08yonnwVV8Igjz5xwIzIjHJ1r0ZxTlXB5F2pqilpSjGlQG7GUuiI9jhWoYnGles0ZiXbTEfO3bn5Jc8+/xVXXnz5OVsd10gNXF6zRoATISkxQ52XpFBTgCSPMRn1a2B4FBLl2OjwSqTsCEQMDxjMG569Z9uzztn0M9e+5I698x/84m2f++odNn/IF0UkP1/s6FA9CCGEsHl6qhr0NTYAF0WBtG6kqNcFYgI1S+oYRGxEwVANqrKkIB0Um6kebOXw9p9++Rtfd2WHzaclCOUeehALFWKJYnWaZRPBls49a4twisNUoioLnboWGRKhlDBqkR0nGy7ds2PorRHILK/CeXgGHU5IYFT0uXxAc2ZlUz66IBzWAUixLE+zL2rjQsywtHW62xWGri5eDENNvH++AsCaWJxBEE1DZHYkw2IvAEJwvgBIuZgP0XvnPftqfmeHrrjkgh+7evfFF164Y/tsfkIGDKVJqQZVmMELeDiwKjEAMQwjKQnGyyKgBgM0gUZdp0PhCzFTgEFEoEQgIuKiBi7a7n/7F174mz9zzXs/983/8emvP/DUohTdaHF2646Dc4cGkTqdblNXLM40nW7FZOudnuvGOHAgRz4pG8h5cR3EiiiFkp5465te+Y7rr5lOUaAIFt20AAJwUgDGrCTJT51uqyWCzHZ0ZrpX1w1rYjGQs1jRKQrQZQGsHCVnZhHJRZyX7TlDAFDOeyogCgjU7HBcZZxqznsd9ciTvXIGoJTPVgXpVPeUZQt+2CASS2HH1s2CiNzcsFq/z9zCoB9hBGgg8jo8xYSdi5pCaETEMVkKZhpRlt0OsXUkvfDy89/wsitfcOmurV0EAxMY0JSyCgwAInACKJt2Gzb0kQCIo6tMPjNy6QEZLNf3jmoReLRZMLhh5E5h6shgClUxRlkCjLj41tde+XPXvuB9n73tb2/4/NOHqrmnHutt2nHw4MFyutvxxaCpyZ1mEdn1jzVRnHPONTElJWEO1RK4duj+yBXn/MY//qWzZwWIcC4kOA83WmYNjxAAptkYndL3cQyE4tRM76nGkBI50+z2niLMbOxQ5+r7EIJjvvic7UAEOcKyFhLT5Wvx5W749+qNu++tT/ze5x7liGl66vQKhG1gEozIztixBdBV9C4zpE/sn2uMiIht2G2Rv9xx1UrhJNQDC/X0VLdvetmuqTe99CWvfv6Fm6c8gESogA7lpV8U53K0JBqI4AQhJOZcKGYUA0PJORkdamYGMyhTdsNNBUfWDKsB6glQICW4AsRmlF+bASkMnPO+Ox0BA37qlc+5/qo9f/aJr33gU1+sq3Jmeqqq+p7NiYf4tH7GNq4LEpuiSeAmpV7ZEzMb9M88c+qf/sx1r7z68k0SERPEGWCCBBViU2UNIAIbIIDTVcQlTg1EyXsxCMyYLKk64lNVpEsko2pMAxBjJEuzs7O7ts9m6SQAgJqxLUuPLTfRZra4uFgUR69/JgRYjjgPDQaibrc15WtE1i+emZoe1xAlU5kkYIyDh+Z1eGKpmaWE0okZ1Cyl5BypkmnadfaZL7j6+b/yirO3bdsmh3VzVWItIgZhZrCDJiARkc/5TCTnCeBkgDHccH0mOYfDh2th88slDCe6WFZeVjCBSDSHAdljdIixyDDy4rsAYMlpgjhz7Lds/tW3XHvllVf+/p+974n5QafTQQxRLUU9DU3G+sabmhmrCqWUtOlffsE5v/Yrb3vJTg9BAwfvKEXPXIz0Tog5cTn6usEAT2hhO0Ukg1DOLQ4d4WhaMOsp6vc0AsxU09A9NxNf7ty5s8NAUuOjnbZxfHz8c4yxLMujpsFhuSlPKY3HHTAzmEwjMRfGILBJYLlgWj2hDlF8CShpEJEqQFwJa9NQJxNJaaH0l2/iAcouAKuEijjh2quLD82ZNX3vu31Riv2tPT9fk7M+FT3yHdV0yZ4db3nNVa993p5CKsjskfsPrTONfz0ymEijU1ToiKNNiYiOvCMnl3L+i0aBIUYC1FAs2/TYESMSiORXIgAZXnXJzJW/94u/81/fd9Ndh0w6Thqk2orpqj+/eWa6GjSDupnuTVkKYim0w6knIy6G4HPuJAX2zsySqgU216GmLriIll5/1Tm/9fbXT28a5saK0b75f5Ks3/e9nzU3AAwyjMpme5mICJZGeXDOq73sF4sdW4fZyGF8oOUAL/JjsVgNIFFpgLMIoCG3UoxeGBEzjz5xoGNUeZHkHCxZPFVDzFNKReFQLwWZtWgALyZ52XkOYEhneI6Ro3ymk8fIIB8xZYJ5dvao8zdvTxRC8N4fIY4zXAuYmeVTjoCZqZ4ZgR2YLBlApjlw2mahTjLMnMymprvDI261EGQSOTS3NE1lrAfRq0z5A/PBZAt3O1h6+rrnX/iP3viqy849QwAlDFCcrOXV8peV/XMQNBtjS6aJYDnkkt/G8TcYjx5fA3d6Xfz+v3jHH7/3C395wy1zKrNTpYZqyvu5/funp2dmp6fMqElmbbH5apiqCI28PGnqSES+LDQmT7poXKb+z19zxa/94+s9YNUSOlPH9bAjt7FAjWyniUFMJAaJQAMWQs6UEpQsiUaYmjv24x8xHCKvCw1miIZcFX44QmKrL9HG0+IO/3qKVnU5Pi7sPEtus3PQ83bvmbBLDpOKSAhBRLz3x5wO5gCoau79SSk557JZz08LkFmiUXnZtk2zyZRZ1MhAjkhhbbPGMwERkcYduT9oyKTPOWLqyaceB80Ts5Tblvr1tp4TLL38uRf83I//4uVnla7uiw1ALjbmvyfQ9gOgAGA8SmUCWfwLyEPpAB1J+ACqxzM+4yiY4KBk8Vd/5hWbt+z4w/d+sk5wMUhZbt60aTAYEEcFi/cpZe+/ZUVSaDqdToxRFUVRikcyTUklNoGcg/70y5/zG2+9lg0NwXVWPE6Wp+COiOSiHF7NoRYCUSTxDuxQDw+SXI61bO11bCyM/kZ5RyImggNMQcyqGCa/aRXFuPzqci7nlCt1k2lKRmBhWIKqdpxdfOG5E3bJ6S4Rcc7lBNiKpny8dW5Ayu650tAPVMs/GIM2zfREKOaTFwwmS4GYFKkNXZ58TLdumWVoLlEiGkoGHXNbbwgpVWbKIuZ6af51z7vg5970ikt3zmZtfpS93C5feEYYwJ8kv3zobSsAAvPoVEk5Rw/OfdbDzeSEnaFI7FIDGMR74K2vvtyL/v7f3EBSNBHOOUjBZJaSGYNduz6cTA6i5hrlGGNeiIcYAPO+fPUVZ//mO17PptBQEAJ5f3xf2OGCuYSkiRksDF8YWAEzNCiJQAbm4RFsBlUtOQ5/GT1Q/j8sy6ZgtL0ZnDbknKkWzDGqOE4xijvtYvQrQURqlojFghkD2NrF2TunJ+8lIlVVdTod51y/3z9m170bRsaBXKtIRDloPv5gxk43AZ3ST091Dhzq5/V+7kPBUMqr5WSiqsy2ZaYnQ8U3polHK1G8/+HHlTbPFunyPf5/eds7Lz9jRljMIswoRRA55wBWg3l3siKFSZlywJwMFseJTzd0v1kVyUbS6XzCHSQMgziAq2gdF7nu//yPXrG0tPAnH7kpwS01WpY9DQPnyExNYK1TPpHCcVPXYFcURdM0KaWy9D1XqvXO3eL+/T/7CW4GVnSJAGvo+MYcL/fQVUA55WaRNDFLLll1LneIGVhAYoASWLhfZz9y6C8zk4gQkfMggIfTy3K1koIUrjtMtFvyjmJUWTFO/j0vMqd17LDhWnuEhnl/zvKPQhedNT2hxHvcGeScyxXox8x5Invl2XbHGLNXzszjn4Ej1BCJ6MztWw4dWtC8agaPPpTjaWJpOSG4U7jpTgHUgAMLJsb3Grim6l9x7o53Xv+yVz3/PKcRaAwFZXkjRzCLUVlYCbpq5+gJvMxxRjTPCU95IStUgwTETMy0PPZ5Yt4TWxOoTIZSoKGRzrQBv3z9C/fOxY9+9kud3pY6JgcSVRaOqZ1lugpBkwKFcyklIprqljE2ITRbNm/9f/7VL3UQY9FNdSgLb9xxK68CV8LFAGawGDkVF4G6xsGDh7796NNz8wuPPXVw71NzTx5cOLAwmB/EQdOwlKP+9cP9L0Q0RVWnU872uptmupume1tmpjfP9rrd7u5tUzt27Dh768z2HqApKRGAUcnG8UBHCUutLbkXPxH7VIFLgJ930Z6JLhqNU5j58zGzqaljJBgOR5my656V4JdLvRz5Qzr7jK333fcAmSQTVSVAVYlP5aezISGiTlEWngyKw9pUK55azvBTr3nR9a9/6Za05BRQB6Tk1JnFmEhKMMgN046aAuTkNO7mniElGKBEoOx9DSPWnCOblnNTh3uOjh9VY4EjUErki0ohFj2lX3/zy59+7IFb7n3S1Pdmp6vFQxYM7E6dv7U+ICIRBtOgP/DCqlYNFmemuv/mndfv7FGKUZxzhYQEOHik4zflQ9VyqpHc3FK4a+/cTXc++M27H374yYNzSwOQN0s5siND/1iJCLHmcbQ9/6MEojkqKOLJxSV7Yt6SMpSZmFm0huk5M/Q3/9dvOdKicEtVmO6spmmRo+TL9AVPFWpJFeYcDaVF7XmXXcAaj6EoOSKnMMcveyXJLJdzowDMrNfr5dYSEYEBarl7LwfdAQC8bdMsk4IQdXnz0KpS6S0nBjN3Cjduspk8QQiAxPm3X/9SAoScEQLBoQQQAOcdQZHiqL6Q+OSNECFoE+PcwuDpucWnDy0dXOgvDprm/2fvXaMtu67ywG/Oudbe+5z7qHvrXaV6qUoqPS1ZsiXb8hNwW9hNgoHASCBkjAw66dAkIXToX6FpGBA66TR0J6ZJCCMQiHk6YMA2NmAbI4wlW5Zly7JlyXqWHqV6132cx957rTn7xzrn1K1SnX1vVd26hUr3+1F16tR+rLP3XnPPNec3v1lbDTAsF57I3eYNE9s2z27dODU91brQnka1FLlWUDUpasCzCtjUbZTw4//4B374p/5D1bGy1zcjJ1kkWSfFNsOAKtQZi3Muz3ysetOT7Xe+/W3vvHljT1G4gqoFuEl2Q0WGlS22k1VS1d95+PTnH/zyV772eLdv4nMjBAucgm9ExKwgtSTq4MBEqFPYI/mbANTM1BxXMCiYAGNRSAST0SJNtDKmaekrJpljtFbhYaGB4nVOfQ2uNIMFAIGdSA02i3t3bW92b5IdH9X6j92MiEIIaVHT7/ezLBtYbQINA+ajxQsRHZyV0mXQFrtKVTNFoGCxYFoPUq4mStUDs3kNeG0Zp3ZW1sTk89ND0m9OGNC3GQOpKxBDMixZYEVAg3rHae6AZHD/UtkOUhjGztAHYxfkwb4T8MKJ/pOHXn7y0IsvHzv1pUNznU6n1+ul1V9iv4pI+rBUmTPxqG6/fudN+7a9/XUHbty1MWdN4lw1IAZHAVaTtUCIpAwlczkBnCWTkg1+E4gBlX0bqn/+/e/9qV/9RIylEJn3ddXx67zyRlBNWS6x0uCYLIplkxP0k999B8QN8uDZFFL8jQAIYtekXQIMZFDEWslXzEWEiUbUhuDQ+ubhxQ/95Vc+dv8jVVUFo2A5cufBFPo+xpyt51oxRtLIgyABgRQRdZY5DQ5W1gHknZCV85PeujiTCWQMV3qGDbFfU1G4tjAAdgyYBnLj6y16x3veKBPqC3yXpGWoqanY7rIiqkX2U+XJTmur1eX1O9qbp2S8Oi2wpOKnGQ5D5VxVLYpi2R22bt5IUMNI1suIrqCkwVULZvZeOL3CL+046UMiMKVpZGZCKi4VEAy0DAVQU4GaqrFXOIx6vmj46+f5iSe/+aVHHn3q0OGFfqWcR0gdNXNS1/Vo3TYSl1i6JExnjDGa2QNf/eaDX3/qg3/8F9umWt/25tu+4+2v379tSrQHjTVNkmsJwWLJnIMaXUKKtco77r7xrQ989XOPHQ7KdXchb09ove6VNyESXG01h7afrPod1uofvf/v+Gy8iyCFxpiLqALMxhmlxg6M0OtL0X7qiP3GH37iLx96IvosakDlpjIm7dXdHrzTfKJPk6cCJrRPbOQ4PYCa9CRA1u/7PA91nQnXGthP9ONUFHHjOykTUZ55Ac5EBRp+MKEKEeDkiRORnY/Jt2YwpsxRVGENSnRw706Am9WV0sxKBr1Bk9yNGqQOnLXl3gC7d2wVmIJqVecyEJFA6/UekqsMlrNkEtJb89IPe4Y0Ro6Asiy9YxbCkLtawXkCWwnDiVPd+584/KmvPPelJ1+se30zC6amZJRDOWk5VFUFIK3qRmexIZZ65QPCq1aR8spNH6r9r3/qqx/+1APvueum73//vXs3ZV4Zhgq1iGeDKYwDjVuImJn4HPjRv/feh3/yl+eoPdku5rrdwq+3pW4CO+KazWvV64pkN1276bvesj+OX+4FsBMg9EVcCDCwd6i7C76VxVb7P33ooQ/96efM532IqkYVyXQ+lIDz7Y2p84lod9b7moyIYFqHaCARL94ROC9a/X6fxTumjGJn4TQVUxVlY005E5u2i5wBVRMmqLI0RCi4qioiCiE6N2DDNvnAlxkR5BAq9hJ6IHf3zdfFSMJxXIAoBVVGrtKIMv5KnOGVj2x681C2bGy3Mun1LZVkN7wl1nEpILV20WIkyvbFc2ZHZXjnMJGs6iIrXJ4HAAbRKBxQdbJs4qVT9V8+8sLH7n/sa88cBnPhNVadUFPS5ByIdVk0MyKL7EdPzlLH/5yzj/LnDHMwiz2N0cQfryd+6/PPfeSrv/mD977+f7r3Th87AqmdB0GaH0UiBij0925pf9+3v/U/f+TzPXWZW18eLgMyVEQ5cYCy6d977ztIaxqfA6fR3xqdCIhDNNeefvTIyZ/7wK89ccxqbrV9qMvTbC7Lp0uDbxcUQqj70Zg5g8sDRHTY+MmisRBEA4UQjDs1vLiWxsihmp3Ig1W9qoexDiWr6tRE6yxWVNMP5k63D+Kz1oh8xbLjRgKtIxc+dNnx7Qd2qjXFBJea5X6/39DHbcBUYeayLJl52ZZvBWN2eqIsz4imm1mqEFnHKsIstldDh3IUURmtugCIiGZtxChcCxRKlWRH+q37v/T8h/7qky88//LcfKc1sWGiKPpVr9frC0s+0Q4hpJZyzEJMlhZzGpMFTwG30ZM3+rD07AB6fqPVpSBmEizWzAxxZah/42MPPvH1R3/yn3zPbCsXQ6kqAkQay5ok50IJJ7Hs//3/8c0f+8uHDy3qBs+9dTpiM0Ismaei5W23ear97jv2op6X1ArqfBCrgzpyOZsRAqAV82cfevpf/9af1Yu9CZ/P9U8vRsdTG30kKQPFmrxUyiC/eaZ1w66Zm/Zs2r15atemre2iVRSFiNRRFxa7R46fOHHy5P2Pv/j1Z1/oQE71y9mpqU53wUPbQuWYG29EpmF2akKAoaIINZTOAbLQ6WK0cTqI2bI8gssEEbG6hzxj7W+dKnZuarlh86AGMHMqEVqqxHIOzqQ98zzHiFE0PsZChl3btx09+iILzEgJZtbQuGgdFwmzdpGUAleiVb5SLG0+wswwjUqPPHn4w/c9/FePHTnahWMVc+32JMeyXFgQduKcEsrOIjNLkt8xRAURGTNpxNB2J+87aeouZbKeNQAN5JzjXC2Eqsydipa9bqey4uNfn3/h5//7//fPf2DrJHKHAOcackGACGIIkhdThu/6trs/8Ad/WUKvlEzSqwUCkjzTfq/szH33+7/FRcDnsPGm0KKIrwEQIZg5/tQXnv73H/xwp5xkzcuy055odUOEUhVINC/Jbtk1+y13HHjXbfuvv2aGmcwAdsnXS5xlAwFTtxzcFoDv/Q4cPlV/4q8f/thSUE8AACAASURBVG8f+dRiKX5itup3OFTjE/xMqDfNTsFqImdLInjjtj81t2DgpZFku6L2ShVsWrPcun+rH3LKGrZPVT7JPjdY5sEFK8syz/MQQlpEN44k7Nm140tffR6D6yJJHW9dUWu1oXnul8/qLIdzigNoqJMpjLnafeLBZz7051945shpZoe6O01GKqpKZMYClwWwwZuiyJKOeU1Gqe5HVWMVxedLjzwy4qO6BhsKX6Qvs9AxcCSJxJCs1OiY8qnZFlOnR08cCf/4p3/xP/3U/zJbUJY3+VpkAIk4qevoPX/3u9/woT/55AlMI6zrmDfCi1OtnN/qsr91z61QM8lhFdGYmkl2GmsvvoqAyx74+pEPfPAPj/VkSupOrLOp2U6/nzPnWmvo3PmG23/s79y5ZXZmMs/JbECEIcQIkbRcWqrWAjZDlN0z9EPve+Pb7nrdv/g/f/m503NTU1PifAjnT18bgYg2zWxIXKthsdvYJ8WAufmFFHE2M6NIxFeSOR2V2VmsK/VvumU/gFQC2zDHky5W4hE0vLcchgK4iYi+/FDMtmzaTAaDRbKMRmmEdVO+miCic4NdF0WGHd3+UT/Asizn5+d/8c+/8fkHv3Ts9CIXkwQxDcTOGKq+QjQWMClUzMSUYujDExE5gkVVJVMiIvHJdmOJsHKy4MknSBmbGONos4ryLMuoLikGn0uMKOtg3OqWvQ0QDfSMZT/687/+wZ/6R1RWmo+tyWYgwgnUe0RgJse333P7r3z2UAvrprwJ0Swu9nR2+o6brp31asIwNNRtRTjhGlZn4p8+Ef71B371ZMhda+p0KLOWan3cSctoYmrS/at/8nfvPjDBYTIVuwykPCyCVIRgQ9uSPGIdEJQqh6zuM4frNhc/+P73/OLv/rmGKpYd+DHV7MbMPDnRWqGHo0Cv1wumGZOppU7FV9CUEyDOa4yRihuvvQYATJW4wX02s6SGaGYNJtoBEJHFxcXJyQGRs5mIbuzfssP9P+J8XReZRwx1yd7X44Oa67gYmNmEGAAj1lCJyyKJaMSYm26ARiMEZgJM62BZqx9AxDnAFkWoDHTfl5/+vU89+PAzL8EEIMqmTJNKFwAEBVBLqtFcEpQzYQZBa2IzMy+5mdV16TNRuLrqFnnmKd79uhvfevO+g5uLG3Zu9DPTUCNKHjqfXui98PKxo8dPPPriwle++fTjz8/3yCuIzDKKHOaLbLpePN5ut+uQPfty7//69T/78X/4HtEaLP1A3hGpMpmBQWQGIwhKxGjSFgNQ/e33vfP3/uIDlRSCqKoqOcjBAmtNBm2aLK8hkJau3er3w/e8fiOSanlj2lO0iuxYeZHwv//SR05a4Q1V2c0d2FxQL4q7rmv9/P/6AwX3I1pyjqkhGfjNI8M7FFZL8AB8RBQn7vabd/nY6WJL7VsZzp9+c1QvBL5xaw5CBWShLF2ej5fDFKufOKVT1l0wX5DLUJsRr6gv12UBmfaqqijyTU4P7tgAVZAL44U0Rq5YCoM3HHnAKJ+cnEwL4eRPNVhzAjZv3uwQ2fu6rsU0z3ON5XqsfHVBRDLsYLkSGWEFhCOgMVp0RXS+ZXGCehDAimMn40c/98gf/PVDz5/uiJs0bTFdGP9amGMccKE0qqrmeW6IMGyeyL7znXd+73vfvrENUwjADAKICVBTBdHMdGtqes/11+95K6nHO7o9PPD15z76hS9/+emXF7o51IdyPtuwvdPvtT33u+VH/urLt96w9zvv2Q9DxlZXMc+S6uHA24sKYYawGUzBYhsmWrdev/eLTx7OMm8hMEwtEBHAtp6WHyKFwtqMW2+9NcbIZ7NIz7uDgCPjDz7+xacOPeFkKlCP2VVVj4gcy67Nrf/jX/59T0riL4JsZQaiCUgNi2UPxjlRNWGox/jN0Wgi9+2iGNniZQwPydz84qDZ8Ujt9sqBiJzPg9mdB3ZAPBCMxtfsL+FNZln20ksvNRzZpY2WhjtH9INxmJ6e3L6hODpXGiJMmXNdr/RcbVjUQV/tpYmd8bNOtAR7g2MHBjKGGUMmn3ph7rc/8dFPP/rkXCi0FMGEF6u4e2bBu8LxmDFz1DiIg6t5kW63u7lNP/u//cidu1vSnycVUBbNRwDRnBCQFu+W3DMiSCTj2Grpu9+w+1vfsPfwKXz4vgc//JnP9jthrtJoLq86RdHqWPGrf/jpt992zUzm2YtnMiT5gtTcyvFAHYSiIWVHpzK8++5bPv/4C4oiWhREUgW7AOO/iS0nrwwMrLG+af+u9sQU0o1pnOxKjlVf7nR/+xNfrLQWU5/5fhXaRWuxV7U8vuNdb9jg4GBIkm8X6NMZQRXMULIHHnqsF6DUyeHHrT5VdetU3mq1BpNhoMU99qQGPnrshC6p1zcAV1AzSgP5oluXb7/tWhBgKA0F1RijGZq86hDCpz/96QMHDjQceKBVm/6RyvaW8oLPv4/h4K7NVR0z51Ot9nml0NdxKVALuc+SYBkwvCMN04Q5GmpDanZfA5965Pkf/vnf+a6f/W+//9BLpzuFVhCn5EpUi8Ur2nUvixhrIhKRUGv6UNelE/qZH/6e1+9qOSjlLVAGNWGV0JdBafTITCjMSNERUhKnQnVfwuKu2fBPv/OuP/zZf/Yd99zajouFI2NJ6ffnT3R+99NfpSwHwGJ1HSMAA2IAkFSCDMyMVHTsoW+97bqp3IeY5G5VLBIRSNa7oywFQd9++3V1XQOolnPCIgikf/SnnztaGvvJzFMZjcigqiBY3Lt1OrcKpDC6iKiFAQyFYT66P7nvwbw1YUY2XrfWiHfMtITFBopCNJSoOD9qw8nTC0P1IQOlnM2VfB4iTBh3HUyBclYAY7riYbgiJ6I777zzqaeeajjsmZ+UegmlPO+yVT/Xbps2FhERMtOw7vSsOpi53S5GpevLVjQYPMM8oW/0+5/9xj/4yV/5if/43x/85lHxWSvzGYUs9gsxgLuWxWLzRQxpVHiWHi+N4dq9u+++aZ+3YBF1lEC+bx7A0I4PWrcMfgIZs7ahAoUZXAZXAEzQ6YJ/7B+8959977dM6FxtBqZCOz5v/fqnvnK8j16vDzPvU7dIJSdDHb0zRXLRDIjXbCwO7N5CUE15VwaJgzgeE3h9DUKJ2OyNB69JHpsT6HiqMgAC5rrVn372a9Ex00SIPTUnQrGuRKRf1i8dPUqp4wcR9MJdBAVoEfC/+dGHj1fa7y5OtTYu6HhTS7JnUxvQkWYjNzIu5rvarWKqwiEbFjpc6ChXD8xMatfMTu3bMgUAxM1yMCNVjNnZ2XvvvbfpyEvPkYqwm+24GZixZ2NbnA8hqEYiOk+/1nVcGjzL9OTkyq8roT5d4lc/8eB3/4tf+H9/+0+/ebSzULsgE8X8ydibCx7BSdUProZjWQzdixjPkC4OZo5ai8i+ffsiUa1GAu+YAOcogmuVM5KZJKlCL63eKARTrUQqcjAHZRhHQYv0B/+HO/7n73pX4biOhroTy34HE3/06Yd8ezK9DwgAFGpKiW4vBBpkvFJ6zfQtt+4X1MPlOUeFKWw9ArgEBD24Y8NIJKdZJlOAB75x6FjXxboLoLLasYeGqGGiVfjWxB/86efmlBU+kTMudDCOAXKPPHvqNz9yX2B2wouLnYYcNRFdu33WVMNwCdDslb905LhBiJrUS9YSCjYNd163w3uBGggZgPEt7ZJ7HUJYWFhoPvLgEoQQ0m7LhkpSe/Xr926PoBCC0Iq8+HVcOCypm6kqoMvWCD3x3PF/+tO/+Et/9IUXyslORZnGmYm836/q6alaJatcIa3au57XTOKmi2rRcM6KTWDdxYUIsHOAIgZSTa3UnZwRhBhWe4qIZ3aVy8AuU2SGilCygYKEUEeOnVPff++b9m6dkixXaU20CunNffgzD3YNYBrEhMxgZzoFMZQowFTJKRhmb3n9AYcaQFQzICiZEa+b8iXYsmXLdAEAzKzLZgKjfvqhpzskU1lW9+fyfIPGvqqK5153vqz0WFX82u9/LrWPihfu7pLqN465n/vgxy3PuQwhamuy8KE3bnsF7dm+cZTDBBHQZLMOvXQEzquRmf1NIDFFA0Hfdtu+1HgtAqRVbGyuZWZPPPHEeTsHLcWZt9nCwsKKLLIhxnhg9846KJE5z6kdyYp+xzpWjBhjiu/FGFdCg/38Mf/4yz2NUWLpsjwY9xbmN/rIQdhnfYn9up+FmEeposzxBbdpTm54+pzqgWOMzzzzjGjpEE0V4kDMBKFAVgKppCi9/AlECgsaMwOiggMQMgu5UYQrXRYdXLvtrHrXXbeRZD3kIYRpdF6e6z32xMsAOZcW0hHMYZhdizq4ODZcZR/cs9mR2qDyVNIrJFtfNQ6hRtft34fYx4DoBjQuxIn1i19/QT1bt8zzUJaSOUs1vU5APj9V+T/81Of+7NMPxFgvV39+HnQ6J376F3/v4ecXqtArQN61ytBpj2/rZ2abZ6aJyFZWynL8xElmN6LnJe2VKxhiIUgmcsu+nZEESVLWlnGsYox79uw5ceJE85HPKKBOTU1hBbw3I4hKnsm+rdGZ71RTk67qr5fYrTYyL4dPLgLwjow9CIKmJZMef9KmZhxMnHFQ9hBXVBpNK9IoRsysTErKFD0u3CtnjjFCSYhjrBUInL18qvfIo4dKuNoyWM3WN8CIkyYPM4tQyoURwCDHEggQHvY0IJAKNNfSAWYCZPu3zWblMaJYSatvmQX73c8/C9QGc4BxAfY5AQQBHHuIB3M2LJFoxfr6G2+ZQDfAOija1rHQ6azncoaoVW7bXAeaMoBQc0REUyrhkcOd2OuiDDF3QlMOvdLUXLvmNsG1tD8p4UTp/t3vP/Af/+gLAQhnDKwCqrAAVACgA/2Q1NPGAODZZ599/8/8ybMnFiasx5DKSURE5ODHuhpe+wcOXIMY/YCX6qClGKIpoLAa0OQtKAxWP3ICed0hrnOiXqwjWjWCv/zPw0j7CEuUn5lZfNg2NXnN1lkXewEcAVArb6xrc8612+1bbrml+YwDw53n+dI3VcNby2Bpp13bt4IGRJmkD7COVUQd9NSpUwCgOrgbzSRRtRgj1JbENJaVp1gF/MYnHwxAxjXAgYshiWGsEBiZDsfkgnI/WFQG51VVE0UjPHeyG6WVWR3785a1XZY98uhXQT4xLtIvbXI3mK7bvU3Bwixkys6T2qukHfsaIHOyYcNUyltjQLZuclEPHzleq4FJVRGViISJzNjUYh1iLSKtiYm5Pj523xd/4hd+8/SJUzGEFHCD1mzRQamuA1iEEHuo5wE7bfjVz3zzB/7dH3W73XRnzxFJHjeezTPTLqmpjL4iAcDEAA9CboM4MIHk6NHjtUYzUwwmhWOx8SVFq4VEBUxI8zFpE8WAN9yyjwCwo4GCcxODM12KF198cdkzDh7xkWxeCpo3mQCNIBD4ht07iQzQENfCZLzWEIGTp+csSU4QMMxnjEOesigJxmcM5mXGfU+8/GefezTxAes6aWs1eXkCBdSMIgAh5wQMNbQzArQEPvmFrwXKWpl5stokxnj85NwTzx/PfIbE5GGjJkYK33HD3hgjqRJirSIW1dafzwGYbPPGTUsLFaix2+DTz78ch22hzlQOWvSOnbCqlmUZjdQXLy3Gv378pR/66V/55Y89+PQc9yUzzqEKrT0HBy3rEKTVzaY/+sXnf+Snf+3f/8YfL1K7LMuRFtvIjW0w5Xt2bhIQSAyDKuXEgUwtr0CiQ+I4AAO/eOS4GumQdU2m4ghxjRhNr/TNY7Rvvet6MUTyAMRgqBu6gxHRhz70ofn5+WXPddYhRk0+G0wzM1sEgQ/u2mIUVSsveVmXsl7uuapg8d1+NWSAAMvFviYn2mmRBCEYKYHXJB5Yq/znP/jMHbfevCfvtXwWjCNBGpT2Qg2fG6iq1TM5SXocgNX9mH3msZefOnRY8omFxV6et8hCjNHnxYOPv3D97u0AUk+jRiU5vmXPZk8alBxZz5BrBOdY5yMCADTUszPTjW2Bz8JLx04ZeRGxAEoNty2yUV1T4cR7hBhjKFk8+XZgeqay//InX/zQJx86uGfzm193w80Hds9M5Kx1GeafOzL3+a8/99A3nj96uktk7ZxRnqi5PdIIOseTPe94rt0+S1AkkeVRvachUZlkoPcJEILh9NziYqdLzhGSq26mJqlG+TJj9CtSVHTUm2Xau9dduwkRdeq9awBrg1seQnjHO95x3333LXvGM/czhOC9X0EfOQUzDDfv3m6ogcz5Vt96TW0n13HhUKN+VUdNOhkws2bS2GR7gk0FZzKTIAXpslLIlwhRPtVzP/Hzv/ZLP/FD06gp9tkVSoExJtzpfPKrC89kARahSeRTjgX5wAf/2MxQ98y11bXQnXM+r+r46KETUaNbWfZy2xRvmZl86fiiiIgZWLiZe/xaAmucnmxhGLJbdvsT891IDDUiMqJoZEh6DK6OJkRMANWmpqqhttyxwTpl+PKTLz/y9NEYo4KzLIv9OZ+3oqKqambnvAecCjGd27ekuURx79YNpjUoT/YfxBHsBvJqOCOUaGzAS8dORyPPPoRAwmQpAAmiy+7nLPXHl2r337x/x4aWg57xLKixaMQ5t2XLlu/7vu9b9oxnzfOFhYWRY944TAC4dtN0UWQGjdbchHEdF4MA7nR7KUwyuhs6/rZMtHKLaoije7c2US/nvFbl0y+e+tF/+xuHSy9OSHthnGIqAOKqtjpisAI2gH1kf7zOfvzn/suRhSCmhZNAvoxWCDmGEh5+8gVhMaS+jNxMenPATXu2hKR8arEGNwZkXlsQ0nbRWuoVNNewn17saTQNNUOJRI2MQAbvvRHX0dQgZh6hECscad0XRCJScG0cKKtMurXFYravTpUy5x1Tr6wX+tqnlg6RsoJLLeB5sW/bTKoSGDw/g/w3aNCiEMBwwhCefflEKmpT1VSgSultdPkZTaNfkfRBR7Hyt912LeBBwad1ImG8lNYAK6xVPqvaM5FY0GwFzBSAQShcs2unWdS1Csu+1jC/2OUzMc2UBB+7cbvImXDONFgD0pVprYgl+688P/ev/sPvfePlKnKryecx855cenpDBPs+8VMn9Ed+5pdfmKtCUFX0+1UrL1BHNTKNzrnnj3cWFhfMkg+4jFS/abjt+j0GFw25hRoZxpPbXmtgInGElO0cXcbx92uxXxoBUE4PF4FJjMBWQ43Ekc8iUVQNUYOa+YkoeYCEEFjrgsMklS1bpHIRWkWzGj5Q5rOiyDKOJYZP6bL+eMLe7VuEYWn8A1OUEM+I11oEoMBzLxxJvMl08IEqCUHXJMCCs8MsRJTn+Vtu3RPAoOjT4EkvVA1pHM5MiaUslKYLSlBTAAj13r27iYzJ2brXs9pQ4k6nc9Y3jQXWRVGM+viMvlwDU+64W4uP+YQaPfz4cz/2b//rx/7qa66paGNQt1kHhSsC+NOff+LHf+YXHj8R+xXYgisKE99fnPcCZcemVa/vWhPffPyJ5J3UZSOT0lRVD+zeRs6bkucQJaN1jaAz0FHjp/TvZq+8riMRydBfJmKIUwVrIItqFCAGB/YkeYRDrDTWZpGdKPt+pJ5xzYVKbnBE4igillr3SPsOMUmxLmV6NMv5bZ6ZZJbUgXDwe9IfS28xEQwBOHzs5BJGOakqCQNslz8N/spp6L1vt9vXbt8QAbMArSwN3tCQyFl51c5ZrXtXskNpzlu3YphvvWUjeaHa1abrgfJVRit2T9gUG1TBpGpgbmLDbp4UrWPtMqlqiDqSvolr9F5XBQETLfHcX2QLPm8dmS//ze/8xd/9vz/6yDcPLdaD9l/pSa0NAQBZ6C8kK/3Q08f/5S/83s/8148f6k85DaQ1M9fRFMgzBoIRBXG58yEsPnyYKigUmmcyrh07EJiF+OCOjcSRyl7PTWbVceXJy30dXi0geGOAlMkBzrA0bHseBHNA34AaRSR1VnKtcL4mAbMgSqzJ1MxUA1NkZgYJMYPIVAiOhQxsygNRfQMziRiJkYx6kpzjmxt7jb0CqIU1SoZuUH9w50zuAOQCOBZQPix858A5KRxg1ossMEwqvni4i2GAIsbovdcQaTCSy3ydq8WYTdXKCmrZohectuLdN28S8TmSrm/hAAGDQRiMcLR7cuR7vV63u1KNjfOY4ObMpyOCgoEYsX/fHq3ui94557BeG72qMLN+v4+lJW2N71rvvQjrMN+yZn1SLKrSoGc3M4O52+0+//zz//DfPPa6g/vectvBu27ae9OujS2nHjVUe2g9dbz72Ue/+qnPf/XZw6eqKrQzmbBOOSZtTkoK83BPPPus4E6okTTV+aVrtGF6YnaiXWs51++3nFsvYBsh0atH/1zWfxMZLPTUjBML3WzVWs2OR+LR2bAY1UDMvHlmatz2Z8gskVgARq8X+v0LE+VfTZBoqDJHqiHCK0Tq3lvfeFvDHiKS2niOikJOnDjRaq20V/t55s9yDBYMFdyxd8+OVk5zQZ3IOkFgdWGGTueMEsWyc6fw4r0v46Cvpqk6xxQvQnb0wkBkSRMl+REiYua73T5c6+vPHXn82Zd+/cMhy1y73fZ5oeBTR18KEZG9cuZ8kYkGtTho7DLmFAJWfO3ZQ2yIDI+my2FAWmtev2frI195RkQUNSyuJ+YTVE1TMFmaa1MGyL2XQeGmOie0TDxmFQdqA76kRWanYCbbs2PLuM0ZgAUyZzRo7n345GKv11s2qXiZoOzEoqNYG3rqXN6aCp03HNzTvFfq92ZmqZnn5s2bjx8/vsIznrsAX5aizwBcTgAz2h67t8ww83IqAuu4YBhTp9vFSFt/OTAh8wP5t9FadW1yGKNYZCpiyrLM53khJmYA13DzJR3v0gunwxMvzc/7rVW+wTtux0XfO879uai1SpPrwQwL8VinP7dgEKKRSOKY4STS8S17ttYaM+d1vdRzCRRcVdXKkyi5dwQVgimlKPMaCZiQgtiUSCMzK8jM9m2badhDYSDYsAvzoRNzFq5YjkRZhDXUlWNEzpjdbXu3Tvix40n8lrqu02zKsoyZ8zzfvXv3Cs941lO+NNk6bgcCBiIaDAEO7NoqIo3aZOu4GDC5qqoG13Vl3PBWlicHeZg1aiJ1rSLSA+OcS5mlpGdbIZvvay9AfC4iWi5KtTAtleudcKEfIvqUl1xQVuRkWRhbzKbgGGoiquGefvHIgKEw3jNMpWpEuH77BudcjJHZrUuwnAHJYrd/doOBpvbfU+2c1M6p3FkD8jGZAogwgiUGIUx3bZoev/2QNIJBidCzx+aWDzBcNqiRaUgq7i7Lq37n299yW4Oee0r/psqei+MTX4TDoiESDTmR1+3evjZaH685MMWovWpcj8NXQlvtfDDZWBS8NnbciwAYaJEvKdsTRuaFyVUR/VorcyoFfLudOTMrVTSfqfx0T10/GDfoXDNRDMgyo+zxQ4fT1GyUJdBUiH7Dno1pMFWo17sIjWAsp0/Pr/yCzG6YJigNV3vNpeCrCB4UATM0kqmxc4QdG9tN+xANOo2DAH3u6CleYUnrZYAwYoziC1MlU6f9u1+3H42XPTHWkktU13VsZKy9EucJsCx7m3XUfhd603X7zGwNMsKvNZhZhPX7/aVfNe6g7aK1NLqCoYt6maGOYWbJmyAiZud9XnXmPEIuwWm/hXKD1BNx3nePLAQh1868SOhRf8EBxq4bx3pPppSRBBirf+y551K5dsMjmn6wqu7ZPJNlmYjEoOtV+2dgdOr0PNLTtILu1ZtnN/IwHZIgK2B/XzqITMHEPDidsXNu6+zYtCeQBHpMDUmR8fljc7ZWWivnHQuTi+LNImL/lv3X7JjJG1pMAJiYmDiHxHKpXnnqJTQOGuNAqsYMpvt2bV1v7Hk5kKivVVmbrajAGkCKr41ux9o4UFVVMXPu/ci8JhW6vGhFSD9S4FblpxaofRqT/XyLZyKtrO6z1o5CxrXXMsfYRy5o9Cy9utSIZw4fhi5f3xECmNk527RpExFlRW5hnV41gIKS97fCWTs1PTFgZA+mPKfaxcs7SgyK2VNQR1WNyTvXKsa3aEhcjJTmM5jZqYWFeBG9MFYLGpxzVa2ehTW86c7XMcVmJlWiDqZMhvd+IIy6YpxrypfVYCHxHAyo+yIwt6XA/h3tel3af7WRW8Xij5YQqsFEhkiC8TrjkdyWvFKFuZbVlYjAYn35g8TssqBILZSHbw6FxmhEREJgq53VzmqPwFYPmcUugCBZrWTiGgqpmdEl2YwoVH39eAYGw5pEay3CA4Y6xDuvmeiL9/3S3HqAZQBC+fQpQew5CSUYFsQojn9M3rBNTugUEeUudlRyCVaX8fJnkkuHIhS9OAc/wWAK3et2TMSGpBHVFVwEcgACCe6pIx3nr1yLCUK3timpY4wLgb/z9TtA3muTMWfmGGOWZap6//33n7UiXwHOvTR5nqdITeMolwgHmO3Zue0KpheuVkRQilqsfJcUZbvK8hYEqGqSslPVw8dPLuNODn+/c37Lpg0EXUk5+GsKJ0/N25mS/cRgGIuNG2c8x3T9HbOuVbhcVYlNyFlUMxORyYmWLPcGGQn2LnRqRL2C991Uvfd1iNEXN+/aNLthGgAaXV4iEpGyLEXkxhtvfOGFFy7ojOe5Nsm9H3u+4Y6DDxG3Xb+HG98267g4GKGsV1rjwECWZQOJnqHxugpMGJEl4RBmhsYnDx1Zzo4wQ2FGoP27rmENxO4quA6rBTN78chx4wxn5nLTxdmxZfOUJ1NSg5AGg9JaKLWRmlHSQ1OFivjZ8fVBaY/UqcoIZnTk9NyVDfyqqhAqpX6Ub3v93laRouRj30Ujpy3P87qu8zy/5557LuiM5zn0iCA8bpAADEzDxf4t+6/R6sLWAutYHkYwLvu1gVdoiIrMDbUTr57sxYBkZgSwmD3+wrFlTTlB0xtg364tiP2rbJlyiWDg2Mm5vtIZZ7zRVWwXvHVqwIxipKLLtZAMPosShAAAIABJREFUZlAkA0jIjIkUm6cnmnYw4uHLiYwPn1oQM71yr3BmNg3ETlXf/fr9qflsHC9tKiLp3WNmJ0+ebO4zc/4znvfbVHQ0BkoMhbhER3W0b+t0a12CZbVhBGMqy3LllijLMjMbKeESEV2hUrdVRHq+FRZjhNVPvjTXPDtt+IfBdsy2Mwp21QWdLg063wunFisAbEBS7h5v8gTYv3MGTGZGWit7Sm2fLjOEXEQFc0JMghhtZqrV5KOQEABwgAJ0+PSCENuVI6GyiGpg5j2bJ2/YswVmgFJj7mrE5Z2Zmen1eg1bnv+Mr/zqyJEjy+5mYBr2x5st6Jptmy/0xOtYAbi/4gALzLIsM0RQU4XXqw7EiR3LZuYYz51YbN5eh3+Y0WSOTRumojVJ+7/WwKBK+dDhEzirO3ND/2+7df8eIgEgprRWTG0GIqKl2k1SM9s01W4WK176e47OdfmK3vaQnCqL73zdXoiACanr6LjtQxjkIEW899u3b7/QM57HlC8uLn784x8fv4vBoKmdnsEUDv2bbjhwoSdeRzNSuXlz/nkpiCzPvAw7gV41sXIBwVhTORzhyKnOCjSS1AxMTMCu7VvW+3ouBRHVSk888xyG+S5dpqpQb75uj5kZCVlIBfSXvwlPauIKAVvUCCPI7PRkk2ADJYvEigjD8fkOG65ggEWNQFo4+vY37Ddyy7IXlgZCLq6i7Tz7PPnkk3fffXfzboMuHZSopvHaa/ddxLnXsSxiHN8k8xVoDIu9iqE6yGCx4dR8v9crGzZOc7dORbIxbNm8EVfFK221QEQKOnz0mFlTvf6SHeyabZsH9fpEZqSqa1C4rwpjI4iqRgsiMtkumnYY6iknLPZ6dkXTniLeEU+0W7fv314P434rvGoXt6o+j5l43/vet2HDhtE/l1LizEyVwJoDMWYGY0dlld97/SRISyMvRDFEzhiQ0NXG6qZ1NENi3Y+JfWFGYA1NDUcMXlwq1k0a0GtTynG5URs8VeayzHp9BTt57KVTDU86QVVbmSNFNO9u3dxWTILW5d6G0Oiy4oFvzhGqSMOCz/GPiYF2TbmdO6c9W4nCayfwNNtKRbQvfpgSC20ZdYNvu1qUdGNu1mBPCKYUCTkJOByZMxO4K9c9qh0Xu1y84w3Xk6cslACMPMbr7OOSHY7ze3yq2ul0RtJaie2IoXAShpWE6XOe+9nZ2cnC5U6S0U8HTZValzK4dZzT4K0Zo5f51RQrP9PiFgyAiE7NLzZfk7Q8TR0VNs0mCZG1GOqrAsbU7/dPnD7V7Q7iVM0XhyAQvG7fjlpJhMiIKYLGV12u4lCHd5kZZHFpm7Pm7aFU17WqXsHYWqDcaf9b3vR6WGpNDlNtEGdOlvNCdVeW4vymvK5r730IIXl2McY8z5MaNZEkocvRHAPgvezbsckJBcWggzbRMKe8jovHUkGVZQ300ij5VVMXM2hqAVNiMmOyF46eavhpg/7lBDOQYcf2zTy+RPa1CYb2euVTL55IF3GZx8pg0HfeuLc0MwIiYP3K1siUm9kojd9qDrAs2QtAt19GW6mk6OVAn7JdM607rp2G2SAr0bhESCX7uAQ/7Pw/dXJyUkRGB02cx6XnGH1OiqZmdvt1e0JdkjgiYpCCjMXW2+NeGi7oLT1qWD765ipwz5NnRdAIAZRMnz96ihrktFL/OUMiXWzdOM0ULkoB9OqEKXLviPmhxw8BGFiZ5ogV9I37t+c+TWcnXDUV0K/iUM9+YRd+xTIUhF6vt2YijudFAL/jzusLC0gNYCxd6LHXTVWXXXY0o+nQzrlEkUnueVLVWRpaASAiqWr/joO7Y9mjYeMPA4PWgn96tWJEMl361Up2Gd2gq8MrH7TZhSm59PnF4018xEHhNoHhYJhsuSKTq+CVtloYVPqIPPjES2eerUbTbLBNG9v7tm0AABZh2OXvGbt0JcqA8JkVZ/MuCf1+n4ia2H+XGRnFe+95A8puek8yAG4q8khBjktRQBl7S5i51+slUkTKpMUYk0FPG4z6qyZct2tTkTkFISZNUdJUQr2OS8AFFR8vvTtXDZQYgCONg9r9cGxu2eqJYeMgQy66YbqgK7fQ/psGEo6hCtGeOnK6Don30bjyI7ASyN504y4yjgSK0tAme5VHO/ROvPeUVgjLb0wgqkJsrmK93Ni9wV13zYwUuUIGqeXL/BA2Hb3Vaqlqv99PHS5euYENEM3i9un2ti2bo2k6qCVhzKvNsKw1LsizXuqVX+i+f5ORHjIFC7FpPNWruuX48PdSUprCsW7eNHPVXIpLx3C5xic69swzzw2/Hbu9Gpg4krzrtv3MHBiqxONFiVcLZzrpGMxilmVp9ON3GPxv+nWqysxXkFf+7juvazMMPhgxakAjoVlRI8Z4Ka7YWFOeXH1mLooiOeDpm1Ez92Tf01qemZ3Ytq1bhgsFBTgaeN2WXxpGD/RKnsmrzyXHaIltasRpddgvY+JTNcDO6HHr7Iap9Vj5CDGaYwJRJ9iTTz6JZV/5ZDCuwLfvv8b7XIVgLuPLvto+J5Cb+tA37zDaEUOunV05Cst73nonk4YlvfOaZ3BZlpeFjJigw9qMpSt3ole+GhlgA79nf6bsa/IKl2nHe99b5w5cLNKjnF7UZra8lTZLrSxTjvqcmfDqBSlEJJIUsVOFqNlUYf1nj4znNbMqPAEOwTzUJm7c6NeT7yOYOCErWFn8Zx47RtCKnelYL5tBkdEKgTN7260HXL1Azjr1ZY9djGLlyQSludC4w+Dt4pxTrZnTDLrs44wquXQD5T1DZr0J1661vH7npuuvmQXYAxkA9iD2AOAwLOEevXLShzR5L2Uk45kAS/o0YmWr9RtvOpghpIE68YnReCmDW0da46zQIr8yZX9VBBYMQEw8Fho8/XOdzjI7DEGEoijk1f9KWy2k3o39WsXC408/O19SBjQqq6hFgzOBv/v2PQJXmhWXxrVYIZYWVYQQlmnUueQWM7HIBUycS4EhRC1gPccirj3Xn885f/c9tzXskqxiCGFEC0ws+KJYEdtyHJZZeKZuBisJ4ihwYN++6SyCZRBBv7SXzDpwQWoMg+TEihjoryKcQ4E1s2A4fnphhTsSMD05sQaaIa8WWKyVEDnLyI4uVN944QQ1lyCCGQQoKd5yy7YJn9XiNaxF2nOQiSMQSV3Xy0+FoZ8LohQNJrvsgSBhDZob+t6sVqlIJ3z+bW9s0qRKzrH3PlXtJIrgpaurN12eFJpMlUFYgYvnBfu3TCR2ZHLJLa5HWC4eKT+xcs/66nx3WjRQYr8RjGEGOjG3jD7iUszObJDLP6VfNTCFMfkCoXSTs3/xpSegTbx7HVTPCmA7JrIb9211LrdlulSuAs55hdcDVZ1G0uQZCTnNvF+GmbNKYHIBKuQYoTbKs4kbdm/avWGZbkHJcCeSN4DUBO5SR9J8yvTSSDGTZcNVpvGuG3aZEgkrbCCfvY6LwkjxcuW7pCKAM6n/q4JavuTnCGkEAJefWhzf6sTOThEbNs5Mw9ZdigFERGFmFuoKnN3/lccjsmX2odrUAX0ov+eem6nfZ78W2kpnwuVAiLqco3IWEzdVp68BGVqVQbUgJ0QwuLb3vPWgNNbrJHYNlszuqqra7fYljmSZRUsyBym4M3LPx8Ex3XXT3n5VAiASVV3nDVwizvLKl7PL6UV7FZjvpUhrZAPboPRHid3JhZUL88eZ6Sle98qHMJAqvNU+y8qyfPnE/FMnquUc2EgERQT4La8/sIG6kMtuys9J/JhZr6qWebKXRBfb7QJYi96eaixsYhxgxjQj4e13XNdAaWfmNKlTEVOM8fDhwxfRM+g8R27+bxpGnbCyCOzBXZsSeXHowq9PoYvHSOhmhbg6TfmALAwzSxUiCjo535T2PLMvALUNU9JcWvKaQlAQkbOSXc5kZvZnX/rmMvuYAMGsFRnbJ4q333pNGS5/OnFUHqGD2ECvu6Kuk2mv6YlJBq1F4zoGGZH1jTON9rbbd2+ZyML4athRICUFokVkdnZ2cfECAoZjR9L8393ugPW1EkED0zA11dq0aROME9n84jTU14EVS2gtxZXtS3uZIJQYLGfmpKp2mmb12XUhZI6xBvrarxqwiAjqfq+snJCZffZL31jG5JEH9QGpAVJ8+zvuUKypeLUqjAZqU82IwxnQarWYV6zZcgkgIaudUd+QmdG973o9QlM4LyUgRyIoSalw586dlz6SZUxtXdfPPvssVhIoB4gymN52/dYJ7WuIpRnHV31vySuFGI19Me1VhAwgIJCgQeSPuKwrJRAZwXggMvyqN2FGEo08gmOqKLcYCrEji+GVy+dB1gvOs8JgZFBU7F3E9IbGDr+vJRCZWG2uYHIVimh89JnHv3GSYSGEkC6oDTTyI7QCEMsurAChsAiqb771pn2tRdKSXF4akUUvFIyriGz1pjtJlJKDZ2+LnoqA8NJC3cBIMQQoe64JpHC7ZkIMTi+/K9k3OB+itbIwt33T1D03XQvrN581PaipWOeCeA3NWOannj59OnWZWzZQLskbIr5537YAZoYQtFFBZh2NGLSPGIXIUxfahh3qEAfsrbT9VRFoWSrzm6CqdV2fk+YaYfSdDT1NZhTZeguUAaIpQARzQmRqxDXJAw8/qgbnnKmmzBwGYibMADmfpKvTxS0Eb77jViIqQ+1dBgCmaQm+KjHfIVgpxdNgZlDrlU1eOY3+NjAwWeRrExJwMQQ4VS1N3nPX9REAu+YTD4iSRGY2SoFeOpY5yrXXXpuI68veJ0qhWpI3HdwZyAmBLIb1gulLwCjhvKKNgdEKNHX6ssut37MmWCJdMLDpqlpV1SvXiOPKoxi4xOKLqwo2aDMgFMmUiCIVn7z/y5EcoIyIpY3LyMGMRQDWocCfB+596x1sI4qUIQaCenGrKIRqRmCQmhklm356obtMnIxgMCOAMDM1CbY1KCdwVlVq7HJx2fvffNAAsG92YGOMyZaGEA4fPrxaS+cLmOzLtY5UZhjcgS3tDRs2mAZYsHVTfrEQIqgVWQ5dKT22LMuUpUj/vGryn+e01AAQYyyrsPzPG86RVr4c3+41g5EPaBrZlIgCZ0++ePL544t11FT+LiwEMHMcVNhyGPZ0hpoAt127dfeOjYWjEAJAILUYQLpMQeaFgIyUlJWJBAwmOjnfW0aMlzCQwDRsmZ4cBoouL4SNNKrLbti99cD2aTEL5JrT7KkVhJl98pOfXJWEZ8KKTG1aCGCZIpTBQ5JxdePe7QaQ6Vq8Fq9aKEhbrXxZmfIR+lUAn5HIuTpM+TmiyqMEQL8+a404DJQDS0IrGLoS6wGWEYQ5KIZ1hgYgqFUmf37/IyQOZkP+tiJ1GzBNuUROeXVxsFhwuPdtb0S/I46V4CSDhiSRumoDNVZWBkCO2ARyfG6h0Su3CBDEACBsmZ5KLv2qjWcMiF0h1u+Vf+uttwJKVkYsoxucgtWq+sY3vvHpp59erZEsb8qXVpo0hssJaRbF+OZbdkcSM6P1LkIXixTpbrVaK2SxaPLKrzqco9w7+rKsagVsWN23ZA8d+u+CoeRtviYlLa8OqJmZkgOxkEFjjNFJ9ueffzQAUCV2CkAjzs4xEpSgBjYwtH7Pm1/Xop5P7QnEGQnRajakYGNjJQOMjZQMx08vNhlmQ7I16Z2+eXrSSNdAp76OcLCZwt5z900Ggemg/mEMUnA8hBBCmJmZed/73rdaI1nRT03MwrquG95yAQ6mZBrJvfnGa5Q9EfG6Kb9YEINhrTzHeazV+dGvkk7mQGUYV50YS/Iq0kM4lJdbWq49QPocR7454RJbbV1NIItEEg0mWR2NobkwxfDM8c5jz5yEeEq+OtGZyB5DAFgkWEz1QkS7p+meO262GNSkiiBxGOqdrRaMVAxKHBHN7PRCYyzCBq9tJQC6acMGkbVgcEVQpfbeu67f2BYiArUyA2is65CG5Jxzzq0ue3ilphyA977h0qSaPCIDFwe2T4nLmFlo3ZRfEtwyyfAzUCAETR20cVG09L+xGMVVzjLlF7KY926dSTUAGZg5RANJCIEJReZjqCpk9/31/QBFHQRWBgvDUUxVAwgxhV1ISPv3fus7GMreBbWUjl5VS85Ko+Y2hqjdftVsTZIJSh8n22vUVIucD0p/+513lmUNaMkE6zVchhGj/NKlEM/Bqi1APADr9eEkVtDq7Tdtg+VVXE83XSRK8yDdPs0GIlCILNbUU9EjHFrUgsGuhlKkCHKqa9S46/LBljRFWhorr2MggEk5FQOmRE0cZO3MBkUsBMOltUy8yhAJZtGzWSi998G4W9Vw0nL8Ww88X9eVMKAI5EGZQw2XS4oXSAvkcyAjgDy4eOd1G3bu3MFVV0QGWomrZ8sDI4+OyEiChAnNcOjwqYbUmzG1IsCIBBAY2DO7OfKqPf+spooIIZfHGBGrduZZzUC378xvvnZ7kfuonKvBZCn/falUL4YBlsXFxVUv6FupKT9nQK8EAWb/P3tv2iVZdWUJ7nPOve+ZmY8xEBNEBDPBGEAwi0kCIQQBmqVMZWVlZmVXd6+s/tRr9Vq9+hf0t/rWq4dVq3p1d1VmllI5CYnURJJSaUokpUaQQAwCFAQQARHh7mb23r33nP5wzSycwZ+HO+4RuIfvL3g45mbPrt137Nxz9tlbBm6kzFddfAEAvwgtZwMLQohFeJRZnEJ6wXVdK05K3a5vnNyOb62hn3zAvAnGs2FB3iNSSpqqf/zZi0iVCJzlnnHDuqm58sGbLlZCjDWKlkOKK1ebnn8Cyw3MpDjROLtPA/YKclibmihX8HMnyc+eYImIWFyvqkFi1cz999wlANSYASKww8LuRcxc13Wr1TqV4dUl4VQLLKcQIDRSUQBqBOLrLz/fUrC1nxWeKTBZyxd+mE6ewhgBz3b7o90/LLOsWzLouycWC2zRjVC+KFJKSOmL330ag6CgarDGAf0AfOoD+7ZMtIldUnLQoCu2zgwyM4URUf45JD1yrKFcPtzqlmmJ2Ll5YgVdhBRMZAxjDQwl8VVSOL+1TXfefBVZGrZdAYK9Nb2Yv/3qui6K4tVXX52cnFypa8s45VKs6iIECdPIDItmBPCFu6Ym27LBYFk2GLHTLgdk3lMoCydFv1/D2MzY1smoZzNGq/LOSP22X2yE8kXBMCV64tcvv/xGn1INMKPZYIKTYvOY3XPg8mDkEIOtZJtxEBkHab6aJTV5/djCRoAASEH5y4dAOO+ciRXkIiZTIioEMFWwgpxzavGOay7Z0gZMiTlGHVzzwstQFMWXvvSluUYbrOXhVEP54cOHF3kEZRKv5b7IhMe+vTuwUV9ZLkzT1MTYW7YENRXXulUdkxoTDT/T9R3NmZfgAb4uhcZWFl7EyM92e3/3g18NjtbWNLxpQIsBs8988FrvpI1Qm/On3KVfHGqDzicNhI6V3eE3F3SPIjAsGeAJgDezXVvGTsprvWcYwBi0K0W8qjomiv0H7r7Jay5EMTk2VSz2qrfccsvTTz+9Uhc2wqkufbfbffzxx5tGhIw8ckmJCLCYrr/8PD1zjtdrHaRp09QkLJnZKMlsmCKbme2BxYaZ0fwJyXUJETmVvUUYTIeu9vWsdUSFaZxoF49899f96IHFzzIEBbcuOXf6pkvOjXWXfElpxeq/pEZEoKw2pUKUyL1y5ETDn5jpiMSisF1bJ2zl4k8egFRVNUCcmTmtz98+eeWFO4UUQExG+TDRuGwxxi1btjz88MMrdWEnr/AUH/fCCy/ccMMNTUwAggAGJkowKOyGy/ZuhPJlg6DTU5MYNp4WjcnHZ+YgA6vAd0pQrT+cokkhAGzYzJ4CopGz4Bm/PXriGz99kSyCvCycXhIATZE9gM/ffQUVY0RGK2gURzq/88nMSXH4yJtNf8Gcx1MBGNHOrZO0cmUBQxq4qkmZDETkUD14980tB0CRFEyWI74pL7Azs0DeKp0RTzWU33///dPT040XwYOhAgJInXOX7tnB5amqQW3gbSBou922Iatp0ZDV6/UIMqDuzSPtrVcsQU9uKDuxgQaQb5UWq96cuNZfP/5jpCoShBsU9BQsCTDwHdfsnt62y0JYQdLncAPziIGqimMNnq6GwWBcUhgIND2xkuKIlpQIxELsQlIyLck+fOc1DCBGiAchRAy7rgs8idmhQ4dOXSNvSVjCW51vXDT6Yf6XT635bC/QGlB4/uD5E2rCUGhIoMiOxFlKfv0yK1YKPZ64aHzGqEwgoBZCwmDq+l0f/9yx2I6ziVkjwQNKStFWroN/pmBGzGyIICUSMyESME21WFMkkryHs2oEzAycTYQDPAiMGqyzaWO/LQJn1WzRHiepq7mf/e6NZw4lZ90KLouxjB6WKwwGYFhLSTFCq//hvsscaZ9aZMkLoDGlJEU7KBGRNLZ53h3MKUTjVEqppFWNiTL88tWeAbAIaD0Y76xgdQ5GFQqnCF5hSQB2ra3TKxY0LUGYK5WQ4njqecKdd3zg3CIQAN8CsQPaDiCHXGmel0iFEHIy8aUvfWlmZsFy/3vEErb4zMzM17/+9awe4JwLIaSUaOgeDcAz2UDmWAAIcMUle5kZ7Nh7YTgMZbk2vBYXgzAmxsahIDqpkPXOMtzoBDrXrVRPMp8Gv1/GLfT+g5mNCM6D0XBLRVG8S41lfp9g+CsYh7BRYFkMRBKpYpoofKzDX3ztMVjLYaiNMFIMZiaCKsBiYEtgMrD/wI37t487YShLVMqfTgxVNipKy2o/jhS9B0oMKfV6vSraQLl/sCN4lAQrFACD8/8TYPPKEf5EpKqDEyrLsjL4VH/41usbefcD1HWd5+RDCLfeeutqNDwzlhDKn3vuuRtvvNE5l48t3nsRSSkNqj+ajSWhWTDYTIBb9l8B0qhmYNYkFqEG53VD/HYxMGzL5mmz3Lgjs7xT3zKLPD+KHT0+mylERFmxxQxYB8KU82cahu9XBWiXrbdzvmhwZ+XJz5y0EQiwXn8dCo2tLEKsWuSjk8ISG77582feOKFIASQgmV+2ptzwJFGgZGNmNT9e4rP33iQWTYqgFvMdHitPambv5XSYCyw5yFRVdXy2B/BJ6cF5W4BNR3YjZiBgxzlTy37dt4GhCjat+/2+K8euuHDXdRdONPPuM3u7KAoAOevdtGnTxz/+8ZW6pHdc4Snj4MGDW7Zs6fV6eVlzjWXUlDjpn8gDNRkHXHLe5ukxH2NUI5hKnr1eOVHjdQxL4Zwtm5kGrJWF6t6jNPzo8RklZlhW0CASIgLWfiwfze4bAwNdvsLLO8ugw9mot/4SAHiud0oOv2czWKEsSNAYmPl4bH3lBz/LLKFRF111YDDEzAaOCYQAmDKL6sfuPjDuAhuIJKoBECaYGhK5JRc65gs25FfMn/irb55QY6gNDpxGeLfc2ACB7ty8YqHczMh5izGfMx6+97bSYvNZL4u4VVWVUnLOrXb7amnZ8UsvvdRut3Mmnl3pnHODurmRWXKEYfdWAPWEq87f5ZiQhRLJjJAM0BU0jlqfYI1Tk535H/072/Hzd8bREz0WNxQWJpAQyanMFq0J5LdBRCAl2OR4Z/D7d3+DBkAGf8RmNNfbyMoXQen9bOp7E2VKKVgq/vo7P6qTy+E7r/PIMwGAwZwgn78BMOlUCwfvujHWs8JK7IxERJDifJXsU8d8FtboApj5lSPHlQAiHuQ4jGHjjSlrgioGJcm0faqzMqsztOAg58ZK2dLGnQfOR9VdZPxdFUBZliISYzx8+PAqNTwzlhbK5+bmvvCFL+RLHH1CA7VGYtXBGdfy8cbYLN5w+W5HcfRh5DI6r4sa7qpirO07ZTGfikiNhbkjx+cSMUGzgJQNTV9W/UJXGcPsjPMMd55lnZ6cWOzPTi5XUnQ3QvliMKWkwbNPJLDgFM+9OvPNJ57OSRvmxdZhmYUYAIkaSBFjAvDZj9y2uTSEKnMH1WAs2WZhqdcz0sLML51S9q21146eGP7v/EBGnoajgXTaybq+6Y6ti+2TpVxPrih0jx/52F3XtxkoCm68v7IOc+5zPvrooydONJHi3zuWFsqffPLJO++803uf/RVzpSWTJdOg26CAciZ4EtTowL69HlFBpsjlFTNz2GhDLYIt09OOT6ajDWmNqqaUjh6fnf9p5r7yOqiVY950BjNDDdCpyQmowd7KnSeyUSVqeIslWNTUXY+mHCuLSmOHqGJLyh0mlkTc+ctv/LBfBQOIaMTNJyigBGhKVWIWLxRYfAS2t/We2w44q2ApmEUFEfHbPqZTw6g6Pz+gA3jtjeOD6xjNop588pNbwgyA7tyy6T0tytsvySJksu0/eff1nGDcooXjmKrmKvnExERd1zfeeONvfvObFbyYd2Jpofyzn/3s9u3b88/5QjGqUQ4OOJqVG8xgAItcdO502zsRAef+iagqbKPAsggmJiZyAMv/1AXK3nm7q+rsXDcNGCw2+v3pu9xVw/ya6SAzAjqdzvwHvOuf5axcTVNKddiQdVsEJjwh3FU1QwH06zln/hcvHXnxxRfrOmK+KejIU4xl0M6s54i5m+BEH7rvg+MtD4DZgQVAjHF5NeJRKBeRLBFKRMdmZjIdSe2kuStTDuOGzGDJ943ppqnxZS/IOy6GiCgCB/ZftX3SESMADcZv+YJzyltV1eTk5GpMeL7lFZf5Z8wAQgijdoQbNB8cXAmAaVBsKSxet/9yF4/XzAA68XggX7kVVgVbuxjwpoe71ojBoqB924togBg0Ag4MB8BqQwAARUIP0EgkZr8+MmMkbBGalIqo8IikIfKa14v3pCEpk8GVGvtF4WbVX7TFDXbYvBBDI3IFJHpysQuAyR85doLX/jqsNrzZjEnb1LPOmBSuNJsD8L9+9TfiElIVmc2AepbZDzxTCYNlLacJmBSA29ec073xwDU+mqBHKfYETi0uYhrxLhjl4zZvwsvMfnN4rhDAHDE7RAMiGGogeBRwEDgCnAA8tnO6+hONAAAgAElEQVSq8E5DcmDy6AkkoFBGufQspySaiXETun/84ZuMAqBFQk2LeEfk8FiW5WmYN15OKM8ETwCnWMW/Zt+FRmQpQDiatMVso+05BDPm9x4sRUvKoHM2TTo6eXgcanPzWyrmQ3noEzO903rRpxFDXormM76qesdTY4u0swgAOwCacGy2tz4OKGcET/3yyedfr1SDz7q3brx5WEHN/9HBuwPNOfPcKlqBq7JVyIoFsrm5ufxcA62hzDJfOOsf77Qlk1Pn1Wp06cyuKsXxcmzfBTsv3HsOwcMY6DdTLDMfJHu/rbik7Tux5FCeI0673QZwaurpdvOVFxMRw9S4gi8sbAxSjzCascq5OYDcb9hxzpbhVAyPSlhvpV2dnHI8dOTY6bzm0wkjJqIsrmRGqhDCjq0NNVAe8HYo38A4fPT4RihfNup+98//4YfRj1MCoQIAa77ri33bWnfffGkVQ11FUY5grJwx5Im5uSqkU1UmArZumsy6a8kIgAzLj0t93chMvd6n7r+97WoojAFp6kVlAmL+eQX1AxqwnNfIk0Fmlsvli8Rlw54tftv0eOFdVJhvWd11p6Rqd1ZgWFqRrPM+sA0i3bVlIvMGMI90qEYAGxQ0j1FLOPTaak0Dn3EMrNwFZkaZShGr3Ts2N/8VI49Qq2McOjpzeu6ldYmJsclHv/eLF44lILE4xSKsKAbqMPNvHri7HEtllJqlFeIKsvp7VepW9akzs7ZMtMnUMiljmCotY0SRxZ+3ubhz//kWa7P8+kVD2zMTEAHMzc2dHjWk5WxxM8v8pHyti9wnRAXshisvplSrEZNj2PpWeloS5g+zAXDMZIlUd2yZGtaAGRhQyg0M46zKTzRiTssrb6zbUA5ANTLMYnCuMAJS3LZpQZLZkDGHWgFAGC8fnd2YSls2ur26x8UXvvJ9E4M5YoBbwMIFUoO48tIdkx+69iL2LhnaYrpy66/sZmb7b+XlNsX1zRNt0zrzWQFAlQzLcBfiqJ+877rCQDJGEjXCjEFNhWLn3AsvvBBOV8t9OaF8FHdyRB5Ja707iFOo775+H0KVTCnV7Fspbhx4BzDSofCb5iFn1VQUxdbpiYE2GdjMMEjaB3UWIwCZ1RqN6HfrNyvXwVuF6kAyedPU2GSxYCowPDrHaIO1OnTkxEbqsGwYeYN+83s/e3GmSgoaBPGG+zcJFYb4J/feIUV0dV1ZKGjlZK1I3jh23HByEKgZWyc7ZAlgIzGzgeL/0vfDljYeuP1q0QAwkBY1Lc59znPOOefYsdNU/FxOKB+1lXNuvkhWbszOX3X+1qmJNhGL9fuQDRnzt2E0zGZmTLRpetK5k55MI4phLqekt6QhltReWb+1cgzaCVFEUjQiOn/37gYLjpPKY8ODzKGjxzZ6M8uGa7VTb+7N/tyXHv95bYC5ZO8yeDyCMkONIZft2XrXdXvFpR58sXLrb8RH3zg2nw1gsIbEfMumCQaUBq3OIStmyQHo3luu2NoqWDBbJ5iHKQjAgl9RzNztdouiuOCCC5b6WsvD8muIOfoMBjcaHgYD8Za2337OVu99wegHXdUB1rWFEQF8OFanIjI1NQXTec0Zhel8EmtW188/R9M3Zxo9D9c0RmzXPFQM7Nq5Hc3232ajtNEsHjvRjRtKnMvFTHduamzcJP3NP3yv1gqGaDqiTr0TEQROnKRP+O8O3kNjbDyGuGLuQkkxMzd7MhQvdryfGDFY5umGpqUzWB667458IPGlQBkpAmoLx08iKoritFVXsOxQTkTOuSzGguaOMFGq+wocvGp7P1o3SceThRX7aNc6GAJRMSiSWmVa9CCXTDmQG2jv5wIDuZxnGpKHp1xwkSCQ59+IBa1buShKM5VyhY5oKDh03eQ1myrjcsHHm1YkMAgUUZ8/wce6OuY2yK/LhPjCIabQOhLLL37zZ2CQpUTAW8fQRsochdURThmtMLdnW/vhA/vKeLz2Y2JwMEt11EDO91VJmJc+9d1G/PWJgixxDucEZ2IL8yPPHZPKl1SrERxr1MrUCy0YYUuyOiFBHCwZrBhzWj9w/XmXbS3gGPAlAAF8QSOd3eGMPoYckKw2yMxjY2NLfYPLxvJHhEYFlhBCYy1Si6KA4pprrnEaxFEd00btcoST2qGDNTERGR9fcErtrSK3BLOZmZl1bHjmpBiNUAGA9vfu3dv4F5w0K3IQ2L38u0NEtNGbWTbY4ol+HB8rS2d/+ei3ZhIKIUsnixX5YSe3ZR7NJUAKAJ85+OE2ajKNIAWVZcuJpFgX4panY66qdR0Hm+EUOIVjrTYwVNwyXjTy9GMsfUGa+nXlfBljzan67MGPLPT43CkclRlG322rZ/y2EJaflWPe22jIyvPKCWPv7l07pgsAoOXI66xvmOWwbGbmGFMTDQPHmU5OuYZuwNE3j6f123wwM6iZJTNTQwfxogv3Nt/DWRsyB/NnfnuoeX9uoBmlGKSou7OUwuEu/cVXn4Cqk7ezs0+GSCPWCCCyr+v6gi3yiXtuJg0gVydSOIJoTI5ANrB2XxJMqdtfwkDcxORYtuUcCd83a1pUCQSF1p3OeFRzwIErLrr03AWT6xF5PFvxZA4iM6+e8dtCWH6t/NixY/ltjJwBFoDGEAD1gqv2bmMYiVsGGWi9QvImM8utJFVVjWPtBQsIwCAZ4axyRHJ8ZpZl3fYeUkoGJYMwGcmuad8u0DQtTGhJVlIEgOd+9xoz68YpcLkwgyN1IrWCO1N//Y3vHU8FQj1qlY3C4iAIEGDJgKAoCiex+tyDd427SAQiClHNzBNYk6ouY98a09zc3GhkblhlWRATYx1oGs4MZxp002ZotcdUI8GiakxB0tznHrq3OAUFxGzFU9e1c+5v//ZvZ2cXtiFdHSw/lNd1/ZOf/CR/BTU/0vkSADNuuWIPaQB4Y0JoBCKC0ajGwgxL2mo1hvK3fnPOznTB6zaUGzMzOwYRgeXKPdt4sQ1ESAAnJADP/e71lNJGTr5s9KMVVMO52sRC9UZX//IbP4RrvU2Edt5fMIuoDg9OrNsn+JMfvo1S10kenRcRUUtCtAxjSCLqzvWJTpUF1y4LIiI9WYHkoavgu8LMNNZF2apjKjldsXvLDZdtbZDNAuC9r+vazGKMRVGY2Y033virX/3qVN/SCmH5ofzw4cMXXXTRiFfQ8BK5xsnAbddciBQBQNdtbXepGN4GjBGJhaxVnmpoNmCuX63jWDVMFMxiMvB1l+1OC6lE5scBSFWulVcJvztyPKW0cQpcNojZzPpVKJxvIcK1/vNXvn102DVcIJo7AUpBihHGSPb5j966c8JLqogtKYyYDUPJ4qVej5vtdYkINiqBN8EJvJOhAIvk/zY8PsUagLI476We+4MH7yyxCE8m69nmfDyl9Oqrr05OTn7iE59Y2ht7z1h+KL/uuusmJiYAMHNT280GR92UbMfmznnnbgeaxCHPNoxEXAc/A2Ta8otMx5kZDVgECDHp+q2VIxNeiVIKIrL/0gs4684s9GAgexAw+LcvvTZbKzPP4xpsYGkoHGaCOF92JNZVP0StVP7Toz9a+JbnmExTEIviXJJShM7x9QMfurmkylJUIBkZE6C8rG/Yfr//lo+/Mc4SoSgGd5MxLVYNRtuzFL4X1Iwu2DF99/UXkcXYeOodzGk7B4CZJyYm5ubmTu2trCRWQJsiF/sX/N8EAzQlEYLV+6+5OqVUuI0saYBs3DHUitI8e9WwxedV/U528NczIyg7BzGYWXyxZ8cWnvfG3wnVgaUugGeefZ7YMfMGg2XZkFTV0iEi673ZandU1VS//O0f13X9rmPeqkpC3nsgxRjDYHqn/uTBmyfHCpCCmYQBxBiWIY1jRiG89XWb976hGPpqjhTrGtqeMdSaIK5U1Yfvv8dbBJp4NiMVk0xZmZ2ddc7t3LlzKe9pZfBeQ/miI0KIEIBFawA09tFLtpSe5zZGNt4K4mSoYC2WwNQmLDxZQIQ8wY+BLRaR0CmcNNcoTEMBzNUdl8L+i7eVLoj2Ei2oP+4JMbaYtUB47OVAIYiQ27A6WS4CygmqkGLtpuqojjQaH53p/fuvPOWcwY5VQCIiJECByDzMQ6h0rmhl+SAZ36bxDz77cc+hHetQcWIHCykuWZslWq0mBjNES3nbp4Y4ZqoiQmyqGmPNTpI1HWI9h0QJle6ats/ecklNHFEWYcG5jbdxY8qyPDW92JXHewoB84mlC0Jy+WnwQpdedN50x9nCA69nIUbTnjQ0TowL9xLeudyZqLeK13dGwcYiBERudQ5cumdgL9G46bJPvKo888yzRVH0+33Iuv2qO1N4/J/+6yvHFBgjzfJuDsaGBUOzKj1w6yV7t4wrS7stYKsgnpc8DDm6R05R7fKUYtQ81OqFirKtn/rgB8xLkesxrukrJ09KZjIiEZ0GafJ3xXvd4nk+qKHzWRMoRSibwZCmxnDV3nOI2u/xddcT5o8IqSrAMTTrBhvAOjzZMAjrl6dP5Oq6Jqkr4ruuugjmQK6RVa6kCeCX35x7/ciRqOacaxiw3sDyMNON//sXH6/JF5QcD7xkmwoRTibR+5NP3iNOu90TKSUpO1i6/O0olOMk/bExUtNJzP/dQg9XacO47Y5//I5rjQAlTbU1nnpzgcV7P//aTj9WoMBy/PjxhgcEQLyHCVIm3nU/eOPly5CzWa+wt84sqBExV81ik4O/HFhPlK2CG9hVax3GUUNZUGe8c/E5rYF9Y8PAtzHIFPj5869CXBWS9z6uY4rPGQJ5/9hPn/vNkRqxhikxmvMJNcDSPdddetX5O4xgKgVJWHocGPHZh/9czp83hPIYSK3+9H23bh5LKSgAzxQWjpOjK+n3+0RUlo004tXEew3lVVV1Op2Gw45D/tpkN2w133T5+QU2NFgGIJKs2TZv5Fd6/cZs5a0bcaLTXsQOYG2Di6Jgq2+68pKhwipLA2uBBp32J556KUX13odQree28BlCv66OJ/ovj/6jeQ8YCJCmaOIJQMtZ/IODd7TLVrvsUL8Lv2SJkkwTGNwsp/yxnnqy3CmLibZ9/r67gKqVCLKIfdwo9BVFsYjc9yrjvYby6enp5vnU3J8yyuUmBrW2jrlLz516j6+7bnCSiTgMx0aY6S48mjzcVjqUNJqanqD1S+6MFkV8NTNz3w37wKNS+cJtLgBAAr735PNGYHbQ2MSw2sCyUJZFCPXXv/PjXx2eM5ZBaG2wpICG4KD8gSt23n7txf2ZY2SwZfH9cynj1B8/fyQVi4V16x/79D23bCJLcOTJhqYBDU8+MnTMNplnCqteQyQNZggMIGgyg/MId91w6Wq/7lrB6MRHw2FkU5qZWYSXqoohr9ymJ6fWM22aU0y2bXrzgb2bEjlQNKBBZFUBmL18+I0XX5vx3qeUnPCSz+EbWAwp6YSX2eT+zy88VgEE1MGwMDOtqnuuQFI4hP/mY7dNl4DvSDYLXQpyEWNUlV48pJuNQvmpfAFMtNMfPnAroJaKaJGg4KamJzOffuWsd7+SFXmWpi86A0gigNgXpgSA+NrLm8XtziLM32QDkTLTbm9xwaC8K4mo02mt6hWeYQgAXL3vik0dDoBC1ZpOvMkAkp/94hdUjKWUAEWKKZ0+2eizBeZCd9aVk9/96bNPP3ekqlS8NNT5XFFqMngG4r7trfvuujlIYXHJozRE5L1nOtXoaUOc4vPf/+E7p2BgIiN1DqYVLdIGSCkdPnz4jBfxViCU09BUaESoHC2cmUE8EXUAuAkQHADxBy7YvnkichLvfb/2kMK5bqqN3NlHUnRKxhGG5ECRjNrUfe64Q6oBpEGDT/OIs5klApAYqilGMNX9S3d2gkpKxuxGbCIiAikW1nF+vyGmmuUtDDMzMqNSS61nPnznpdFiy8BaiMaa8wNsXvtr6OABwPyjv3i5o/0Czlj6qV12zr59tcow1/Ilt+verJ/693/3nbJkQc+4AJBSUoMBdZjXbk4GIShgnpL+24/duk2OpnKbEAkZUk1sShyUmJ0t/NVrZps6LdIgpH0CpWrYCV8Awt25446lr0JcuNQvWYOxpKrL48a+CDNCZlywponS/9l91ySLAItDAYDcQEAKAJBD3CjNV9WU0le/+tWZmTPvyLgyWXmv1zOzoigwnERf9ERz27VXiXdVqFseljQYOcfxNJpuvF+gRkRCjNwNZ4pRj755HOIAQEEDX09guJ4GA3jArpLCez890RqJbeYTn807V64JFEWRBftHX0Uiwsy1yTnj/soLdosUqoACzDRMy+frZeefHfTVGf3Ny6+qxiyp74X6zW3kDSwdc/25lrTnYiigv3rqN4///DlER4QQgogwgQAms6EVA+cKYmZdMU+03Wce/qjNvl5FuKLlfBFjdELecYy19008EC8DJkU+yTZfZ68eiKLLQCtmcPxNzvs4Y2bUme53e0QEpoN3Xl8URUPzL/c28whIt9vNmcfFF1/87LPPLm35VgErE8pjjIcPH44xppSyOAMRxRgbQsndN1zRC0FNSlSGFK1gOStltszIRpaDxsxJ9eibb5gxACYjGNlQlCwbFsNA4BzOWArGeVunzFJKIS9+DuIEYVo7TvPG+cMXkeE5L6YUana3X3Xhjg4p2GBggNzo9p2fKwy9KarvPfXi0Tk4mGYHWk6ysBflBpaHVtuHKvFYSzSa8X/88rdq9rDghAA1jao6Si+ImRgWFQPfbSoYB++66vJd40aoY+rHVPiWxkSmRFQvTAVh5smWA/GwKDl0Ll8AM90qn9gGzSiCwogsqhsXDXW/p65st4StoPSHD9zs5hXG54evkeZMbqHHGDudDoBvfOMbRPTggw8udyFXDCsTymdnZzdv3uycE5G8FiEE51xDVn7V7m0tD1cWSD3HZFYms8KddaMcIy18ZihgJBDpVeGNmb4BRImGzuKqceANawTDyKqYoOdvn57/bHnb5dzhDL2tJSNPyjnnRp5Bw5HoePCO6yXNRYUIZaKh4GRrAfMqLWYG0q8/8aSUm80MwrCkGmX96rmfKYhppRajetLI8rMXjn75e78BeWJGjt3QYRP6ZEg0AMQwI+i0x7964PZCBmNxJKyxJkuOuaE0zczbpzt5ME4AkGs+es72aiPPUDKYmYJNCYBpNLN2y9UxBSm17v2rg3dtGzJQ3lleH0VwIsp7Nd9o+/bte+6555a7iiuJlQmd5513XlmWIYTRGXlRB42tY8X+y3YhqTGJKZnTvNRnGQSSI9Fo2pOIAHr+0Bu1JSDmlotBwVlCC0Y5lOUbAwLdt+ccAMycQ2F+5rznztT7WipGakd5/2S9XxHZNeX3X7oXgBscQzTGt2ySkxQgIiLq9umnTz+fIqeUwMYgMGl99hXuVhlWVaFVlEnqWCux4/H/+OWvH6sQE4WQkKOh6sl8wliEMSiNCEwlpY/cvv/qC3cVWrXLoterRLxjyZqxC72uqp67eWJwIB1QvpqC2LFunbVwGdknMLdZUttzZUIpFZS4aG0Z49/78A15+vTt06T5/Zrl9BTD6p+Z/fSnP3XO3X///e9lJVcKK5YFm5n3PhdqR823JmUZ03tvvqzqztRSQoNThfPvB07PaYYNQ1iGqsKYIC8cOgYSgGCDGDbUdtUsQUIYjcrZ5efvHAXBHBNzQF9b6zk6oOQMqKqquq4fvOli7xjkNOYiOryb3xp9u8nkD37zWjdU6Pe4aKcUoVGds6V7SG6gGYUTIzgRYypbPtbhpaOzX/zGjyAE5we9HOaB6jABeVvjJF9RGB74/EN3lDaXQt+UXNFSVeYmRlxKadeWyTSoeEQFqFGM5c0TXc1VGEv5qKc0EBZNEDUUbNY78Yl7bpl2NXyBeWlBfob5Z0QMBQTznXXeeee9+uqrK7Ke7x0rFspFJPdz83vO+WDDtysUt+zbNTXe7lLBpl7VaC0VBFYKyZSER4k5DYX8n335tUG90LIvzigY6UBRRBMGWUm6YNfWzlgLpCGEeW1nZl4ztfI8ZpG7BVnC35DGJzqfuG1fMIBLiyHnYlhY5jCl9LfffbJgayPkvrGlWEPKs5AZtcqIMEnpRK/fbnfC3ByhLqTzn7/2g8NHZ4kQAWIHIMUYQoBZZpUSMJxMJpBUob798m23XXspQt+XhYGjGhHF2DQNvnPrNGHgUT6kyi344NffOBGSERGDkhlYiAiwflSkuuiMJeLtbf29j9wM5pjeHn9GucL80n+O5i+++KL3/sCBA8tav5XHioVyGio9ElFd17nA0pQVMu/e1Nq9c0eF0guxWR3TKaqdrSfkbZG7MbmqwMxm9OKh18Joiw4FWub/Y/B/DNA43fFbt27N+g+j3GFRlf33FUaN33zlZjY2NrZnz56929pGMHBRegw0I9+9ahRjrOv6Oz9/TlPdJvSq6Dx7kSpGXjvrsFYQTcukMt7uz/UlaTFWuGSv9vSRLz9aGwBk3RtxbmSTbUlhYM4Bkg1wvmhBP//Jh8bH2ilpSClngQ3lWRHZPD1ug32uCYvolR+bmY0xMhHxyQo4ESX4yTbPdet+tM999M4pj2hEMkikbChrPk9OY1D9y0felNL09HSz/NRpxkqGzsOHD89PxkMIDaFZLcLwwVsum0onZnmC4pttV/TjWXcQFmKNiUFCPApkRPbEy2+MIZKV8D0ABk9WgiPIOwAEuI5kwquMg3DPpeNztflysqhOEGvPleyE1w65U61K/SidsooooNLi2Et/eveFcBNFvluJHeBYQCXlcJ5qIiINCagVzuJf/fPLiKoYm+HUdloHCsQTsGody42dITB5ZfKhJpHki1hpBW2R/l/fOfLK4WMuBSc1lAFOAHMCgYRBABgk+fgpgBpftXPsgVsub0vNcS6C+tSSVBGJxtoLHFsKgY29CLGNT/qtk2NOu5UIUJapTojQeJJ6a8mAOChGhqeP1pOsFYxUIErGIdXCRceqfrCasGMcn/vQddAKLIa31OtyrXJ+E8s5l+P7K6+8AuCCCy44c5/A27GSoXx2dvZrX/taXtCqqpo7n8wMcjdctoeIJPZSe0rr2jXqAp9VSLF+9qWjmpKmQbO+WUXuwP59LUY/RLiCiEQjGVKzWdb7CUVRwkvsVaXjuZBMeduUu+HqfQs9XgBIMeyEakEw33rs2987bRe8gQXQ/z+++FgUsSDG0QzQqsGfQAmI1R987N62QyRfOOmIdlXYkOtsquaKljGFlFJKu7ZOA2+TRWGwOxlzjQY5vxlYXnvtSNAEIJnm2qMQG5JzbiZgvOA/+fi9JZmqSwq3sOLmaFYjnxtardbs7OyKrdlKYCVD+bPPPnvjjTfmUL6o2GNmCF913tTu7ZuchZ6bNI20nhX+lgYm/fHTh9gZUIIiGw1L4++Oqy/cPdWCCffg2eAtAdooBPT+Ql1pFauCZbzNUQoN9MAdV483JAMWAwBSBXlhID51uPvUC6+ctgvewLvCkz36o2f+8cnf5tOjJghrg9KKAhDeOU6fO3iPkqv7faq77Dt5vCuaRlNmNrARE7tLz9uR/1AwEAXRISFAVQElIoIxgYgMfOi1owZWDAI9mYojJK0VUrbPaePjt1/OUHPChAYNmYxcWnnyySdDCLt3716RFVsprGQoP3jwYKYk5n82M+EUMNUC8YP7LzKzmJScR2O746yCgH7061cMsDzeaYt8y42L7tuzrV36ShlAQWYp0drxUGV2cBDlqjdjTBNePn7PAWlyZE+5DaomQATwpW//JPrx03S5G1gAKZkfn/wPX/xuD6Ag4ipYu+EbmUxBAgufvOuaHdPt9thESsnM1CIAZgFJTJZbSkx2xfk7kUJmIoIxYHnlHDDrg+byiEUze/14b3auS0Nvz8yQYoOZVsqFxT8+eHuHKjgfAjypLTxSlwkd+Qtm27Ztr7/++gov3HvGCrcZ67r+3e9+lxPzZmVRBshg4PsOXKzEziq4QhaxXD2LEGN86vlXa7gRL4vRTKFN9956jdWzJI6MBJTWlL8HM3vvo2lKViDecf2+HWOu6RgCOEIKysJQ9II8/sNfhjVTT1q3UHVi+szLx//m8X8BEwx1gCxMOvKo+2BAzinjH3701hSqoj0uoc/MUQfValUlgEwtxivP32VsANGICGODXZLT6qEoT0wpPfPy6woW9oNvAtCQWchGdOV5E5+48xpAa0PLARoaLCZEpK5rZv7FL37BzPv371/JVVsJrHAon5mZ2bFjx6j/2/BIAoxYwZecO33OlimPOqWEDdLYEEbu6MzsM4dnRAwgYzAMTcZUctu1+zroChsABRE7a7B7fp8hpaBV4ML71kQZZj/3kZs0xqZvdhJRQBwRIO6xHz/92vGexTUzErVewd7FuRqF/cUjP6wApFIWJiQDGPBpycHCp+7et3vzWLcOhScnxclZeYbAEMNEpzh/+wQxgRhZBQDITq55XA5A1GHv0rlfvfT6yRq3DVqXyQjsJM798cE7nHVBPguSYjHjiNz8m5ycfO21197LEq0SVjiUX3TRRe12OxNXFmHCqSZ2DHXe33ndPjLjVKW1U9tdbbCUCem7P3mWqIZJALip2gDAbWnTLVdfKFabmZo38bx25LTEsyRTQj/xdRfuuHL3mEir4asrwaGeBYOAWvFXj/0zcdFudP3cwGmAmflWWfVmX5vp/z//8N0kEKjawnQG8g5IgEVrW/zTT93LFk9Sxoc1DdPoSC+7+MLOwEEqS/SrKmgkYmGW+Ss5MU/Ar184hGFtBPOIv0a49bJz77j2QpD0AjygIcGPLZpIPvLII/1+/+qrr36vy7QKWHke93xec9PjLNQAWYyQOw/si4o2aWz4yM8yRNWo8WdP/haoLA8IWVMsV4At3XPXLYJERMmycveaaSOHENq+6KcQTD730EfFZmCoFp7STIAUZECo6sOvHn3yt0dCCNTg+bmB04IY6wqhU05G7v7nr/zotZk+VMPCYSbBuayKUnRg1QcP7Ln4/HP7CenUWt0AACAASURBVHWKg/J2UiGzFAonl192yYDFPIzlGWopGkD5PDq4jgQ8++IhAHl+OFfKSRhgVfzb3z+IGAzeewcN7MuaQI3TZ0R0ySWXPP300yuyUCuOVRnJOSmZvTBqKTtxJlHBdf+Gi8/ZvmlsNlA7LVmKfr2C0U9u7ImnfnWiW/YdtUwhTLTgVjNSgt61b/eWTdOcJPqui2ZrxyhORE5QbCW6Ylu484odFcYjo+QFC0SFaZ/HHKIv3X/42k8COo6aHQI2cDpAZduppv5s20+fCPq//c0PuuxKnVMEVZhBrQIqKDQhQSOgGsRiTBHUahn+9P4bOxRTCqVLc2h1JIUQrBibNX9w3xiYfHaZFABOGCAwlS1EUGngtkCgXT9WH5957rVuNPGoQqoTF56Q+tET7r9u73V7pgrnCewAsAcN1Mkxb7BxPnGDmR955BEieuihh077op4SViUrHxEwG8rlHoC0AHBRWrLr9+1ttVpYrK529sBSYHbM/Pi/PNMGQIwYGj6vUPcAT4KHb7qiFuVUgiqmNbOeLB4RUec+fe+Hgmo50CRt2J9cAgp5dUZ/+KOfUtYz2JjqPNOwGDyLc26u11PQD370k+cPddUKBpgQA5gEYFVjBgMMsIhqcuJABI233njJrk2d1thkr9dLdS9IUcCMaPuW6Qt371jwhSkrXEAAVXjgl8+/QkTOQuAWXGlh1ntPRaeg9PsPfbDhLcwXpMNwijiEcO21175vU3KsUlaeI3iv12tIzMnUKBdzWSg9eOuVKfb76awb3F8IRCSwkOjvv/skWUwKOLGFP69WUfaiCvBH993E1GPrwKcY1kxoq6qqXXa2TBb33XSlOkYCWwQvXL0kkFUK+pt/+vHRuT4hGdEiQ9wbOC0YqAARs/jXj83++d//Qy1eQwDgXTZOydZBIOig9D1qklkqgU/de3NVVb493mGr1TNZHXHg8gsabaBd9kmAhcTsgW///AVm5lShnOr36zFBL2hK6SO37b/q3ImG64/D/icz9/t951xRFES0bdu2921KjlUK5dkSu91ux6amcKgBIgspEuHGy3ZNtz1tOKMPQRBnoeLyqRdePXqiz6YG1xioXOHhgE5bH75jfwqxSqlYTGr4fQRS0/rBO26YboMA01posfKQhpmIv//Wv5Rjm1lTpq9t4MzCCcUYDSQiRtya3PzN7//0Ry/MsW+pBpASxExASCkCYCSAiYekW+bUqx6667qpMqnveNTQlNgJ7OFbLsPCoyrD479CQ+a2/PMzh4hIjVJKnYLqGLgc29yhf/3gBygsWMhNKeXp/Dwf02q1AGQa4qJjj2cWq5UF54VoGsQffHQKNZgVHG+79hK/EcqHSCQuVlROhDo+8p1fkiBgOATxblCDoEJApfUf3/eByU4opG22ZsiIY2Xbo/f7995uFDgA3kGb2rwGQMp/euKp12fDTK9eQ9Z36xtmpjSYiowx1gnmJ/7vv/pKBFcxpVQDCFEBOMdIgMGMVMGEFCOI220/7vQz99w4260crCXai3TulrHr907DNTmSEwAwNBHw0pHjLx6ZNbOaSqf9llhkD42/f99Nu6c4i9m+K0QkhJAVyXPRPEtovf+l/1crlMcYF1HyHdh6sfeD0duDH7gudY+t0vWsORC7ECuLAWRf+d6vInio27/A4wlmCoa5zrmbxu+79TLqdcPa0emOde/26y7ZPk4KcoIEhkkTrRzowf/dY983cEzG4jVUZ6Gy5vsN2XZGVaHmcmT3xY+feu4ff/gcly1xDsaFk5SZg2BkDUUGoCKSTABG6H7mQzdOSYQrYTHG+MHrL2aOsTFeCWBggxfgB0+9WIekMLjCI6YQ1Pjcafd7H74Wqd+gCZN1GQcjRcyjFOF9npJj9UL53Nzc9PR0w1eZkfODZnEydkZu/wVbd2zurNL1rDlkHU5fH4/GL7x+7IdPv7EIT1MjYQyibATG5z98w7aWUbFm1rMs3Ofu/UCs5gQODMm2M41qBf/080O/fun1UM11Oh2Io7Sh+nDmkRVQUkpeyImVhev2Ki7H/uKRx+dy7I5ZTCipZU8IpIGMeQRMGb2g8H57Bw/dcmlfXZ1422Tx8duvAvmGMztBgaBAkJaoPfbjp71jIiq9xBDUtz3Znzz4gTGJcMWJasHTas4GmHlubg6LzTm+r7BaoXzHjh1FUTTM7icAWjMzTENCBFou3rD/ilW6njWHFGtpTYxzDSmTyd9/65+htS08i0+UTFEjFYY+4cJt4/feem21dnj655133v4Lz3Eth4S+RjL0QQ0FJag9+k9PmO+UYiGEEKMXXluuSesVQ09601iHqt9ut83oN7878rNfvdwLFURMQSAQEwHEzlFSgMhiNIB9JrbEP/3EvTU59a0950xesnOqr7xIUztFAyIh1t2f/volB1NFqvvifM/c+bu3P3z75dBQR26XC2blo7GYsbExAFVVnYq95fsBq3ggzYsySszfbnsKVSOAgbIgdUA32Odu3ZO4047dUKa+oqWkJo7KYCdW7zrfnxAhit0etczUXPGtH/7yxdmCYg3AgJSPpZZgMQs0qxoEAq8WWhpN/b/+zL2XFceStVpU+ZQCjXVFg851nFg4YwmsIdXg7MkSTYowM07VMZ78d/deVEcYSiVtQUDaJgV5QGGpzsXx1DOgDyD1fvK6/uwXT8bEXR1jgUOlzNk5aANnEAxiZgXn+XhkxwlNx2ns//vqtzrSjgwSjSAzBmYBdkDBAHnyrQIoAZDvu/bOSf6DW/d2dPYzH9pvDJKmXhGsqqTt6uMd4NGfvn5c20NJ29iVsfHY/V8+datoL0k7shS6SA9pVBzPQrsruUCrhtWtLaaURCR/s42c4DHPZgkACFkup134PXv2bB9nlO1UoVMIHEy1SqFobHesS8So+UxDZKqqRn/zyNfNl4D2ul3Oq0cC4lwmZynMoAYQgYw4jZf4/Kc/UhZ1t+JEXEp/DFyKOz43Q8XkmXpfZuaQTb/UiyQulPm8cbvyin3eQTXPYhOMAR7Z5QqQYgS7GJIHwOUjX3+8W2e3RtMY3lbZ3MD7Dc7br596+alX3uC6B3DLGATYggVoUgDp9z52/44Jf89tV5OGFKxBXi0mcQCKCRC+/v1/aVkfgBBqRZG6t117yZX7zkciSyhlxLl4d+RdpKrdbhdAp7M2qpSrm5Vnc7iyLPOdlmPTwDduMB8AANm+GkCnLD58w0VzRgjMKQSNzAw2sTVwwFlZEBfMAjM2JdNE8o3v/uhQF0h1p12YRhksHgNv8UQldkACRQ+9786rr7t0q/NtlSLVc9SrhctiotOtzliioUYFm4iEFE3riop+tIM3XjTVKbMZV2Y9GSzLIpmZgQUKNSPvHVFMr5xI//j9fzHXMXApA9biGvLZOAuRtO7N0f/72BPsPSzBQAhYuP1YMqBh5yT+5z/7I5cSSNueGkKwSiHQCP7dkdkfP33IpT6RhBB80Zqi/r/7/EE2wBdOQDqQyH335xmaS+SiSlg7Plyrm5WbWTaHq6qB+nxuDeefR+Ogg1JMjKb68O1XVyl2inHEKpgywxx0Ec2ydQhyUkclIoYSUVQ+0rcv/dcnIQUImhIANYSYfbDUVPOIjCLPHzM0jAP//afvGS9rZTYUnc54XVmotXMGu/EkrDF/7o6RuPAsn77rGtNEMMnmigNL9KwgwwBgyRWS7yoWeeQ7P3mjIvjSzJhMmEjT/K21gfcbNKb29PQ/fPepw8fCwHAC2jTMCwWYFPsvmBZWqyoF4sKMLCFAowLfeOLpvgJSqCr7Vr974vceuOPCTaIh5NcjxAZLllxaIaJXXnklpZQr5msCq7v1R9zMsizz3cvM2RUew1Ceqy6ZyMnMF+2c3LNjsyM453K2rik1tPvWLZLmwQRmhqWkSNL+2699++hsnKvUeQ8oESBMRFDLGoKmWXPLQb2gpIT9uzb90SduF61ZOnOhcq2OoxbHN8/U28oHtVwrd64QS1dduuf8beOOJRtwZkHpHJPJQGT9EAcjgUCvX9WEv/vmD1wxXgeDJY01hiyINWRLfbahQKtn3aou/uKbTwAUGUi+4WyoCnDhGRwVqtQaTwbnF8xBBDHVNQN//72fU4qhGI+qRnzRjumP3XMLhb4rJAGmkWiR41suHkxNTb3fLN+asbqhPAfrnJKP7KvzLGgO8YNQlR8MgoHJPnLDlb3qWD+RZ8cGSsTNc47rEUJMRKZ5gEJ9IUb+8NHjX/j6d6gsDAyopjRYGFWATSNDHQGGgXC3ASl9/IMHbtq3S+u+CaqqQrCyOGOjWMysLI7BzL0quDD74B3XwzSLaWLgjZsv3jJloRCXJ/g5mW+3v/r9Zw4f70dT1eiFzUwNIGZy2SRuA+9DEEldd8e8f/T7v37leAIAY1s4qDJzSAzAWQ2WBF6EnGRJWuM//tVLz796gjX2IznntPvmf/vp+ya9QSRPIeXnbniqGGPul7ZarV27di35fZ45rPqB1Mwyu56Z67rGkNNCdrLMgkGgj7AE0EcOXNYZR1fZEjNzIUVcWBFwvcLBSu+TIaqS5caDFa3OXz/2xG/f0NwB4pGRvHgDA+yYCAoCCQwwARJPkf1Pf3Jw71YTQ9uLOO3pGauwEBH5UpjMrE66Z+vYB648H1yklN5GJVSNgMJUGDH3ga2OwH969DtFe5xSXQgzFMwmRSIHYNFR/w2cKRhCwW2k2ddm6j//5k9YFRKbrMdTTY6rKpATEEcgBcXCIrQgXwP/5Rv/TAbxBceeY77r6r33Hbig7VkNxEwGIgahYYw4d/iwmAna+xCrHsqdc6qaw3dZlpnTAoB4QFfIq0ogymQMuEt2TO4+f6drj1m0lFJBLi5GHlp/iGFwlGF2IhKqvqpqrI9V+OKXvwYCzIigabArNU83mFqs1GpmDRRAas4j8XmT9j/+2eecGqVoqAOa5IRWFabRwLmbVLY7V12yd0uHEiDih42mlJIBEOZsAVvX9SBCU/z/2XvzeMmq6mz4WWvvfU5V3alnaJqhGRq6EQQZRHFGARXECTXGqHGIJmqMQ4zJLyRfHBLNG2Py5stLpldjjFFjgoF8DhHUxFniCAooM9iEqed7q845e1jr+2PfW1QPVQ1ID7f7Pj9+/M6tPlW1z6l91l57rWc966d3bLr1ni21DyzJmdkcDLEVJVXl3TGPF7CvoCxcs7NBYC776ve110StRpEZmAAURWajKgGtghGHNnyO4Dvv3fqN6+5EqiPMeKExxtf9wnNsqgAR49KseCIG3PNdIMeE52Okbo+b8h1uygN/EpjB/YePAGIQg2BNfNGpxyAG5lqNne5tLMxBR0aENUmVjFFNqrPrH9iC3L9+9ac33nqPsgNgpIbGRJh1IciSbTMVBC7IEZgYQYIFPeGIpW988dMasDcTHdrWYorKjXEJpiR14gGueI/f5xi9hWsoltIg8UVPORkJPNC4zjmTk58gA1iQcUoMD2uh7lPfvF6jFQSwDQlsCyLS2OSGG4J55kkdPBC44HwiVxpfzVQfvPKGwBPQrswWfwIAVJA8VFRnuwsxAVSCTJH1yd1YTpkqEOcYSyl6qAD4p89/vXbjyTeFBKL2c5/xpJMOFZh2pq7bWf4uM7MZYBwOHohIVgBcMOVDkUVq8vFo8m/+x7NOf8wk116NMaYsy7QQA51DN5qlzr//U1+LEQoLWypZMzKPY50TNWzMC59xysVPXGuazd50ajHWkI1Vq0AdJZIDpEx7PM9TFkWI3hjXCK9aZE8+4WgQ4vAqjKQg5xhkVHup+PbV31OaH9V3C9gOqtY6SahqX7Q6V37pKz/b4JULtlRVFXLJGzGMzf7cCGRLwgyoQmFMIUnv2thc9a0fc7WZlxzGEjpO3/SCx8AO3X3mNB4z5zx8v14/5+Qf4WvfK9gbprzP78nH/ZznLiEKgJdPlWefcGiynW5VGVculH70MT45sbkbrr/tnn/66k8IEme7Xw6NITY+CiBsBVTG5rdf8fQnn3R41dRJ2TIZiU2vB1N6NZbhUr2nxx8bb61VYnHtp59ypAVA4OEtR5gYJARV3/vqDfdsma6JKO67atUFPDwYY2KMylSW7ar23SAf/vi/9eBUYrvtAJChBCRwSKMSY5nx3TSBM01CEwhkzUc/89XEBRWdZuumxo299UVPntLQDLdvff3tPmE6pXT77bd77+epo7A3TDkRhRCstYOa7kMHlFloohed/ShVhUiM0Q2n9B9sqKe36vjyIvX+7t+/fscWsYCEUVO/KCxSIEBAYKJq6/ve+tKz1q60aFJoyJWuPSFAqyhDCEWrvafHT0RkIEEU8rynPHquoHPofFAFCAzmovjUl79nbFuZzPD2zQvYP5ErcnM+zJVl4uLqH938jevvJ7YAS3qg/aeq0nAZNWZWoCydpAAIiBJwx30zX/z29TGhG+1k25xy3GEXPGHd6Ma2WZQ8k1X6ryxbtmzLlvkqzrqXHglV3bRpk7V2t9VTOZ9XsJ669sjlE3Z8rB3SvMxC7CEwszTTalu+u/WPPvk1SDAsSYYudQQYIwaxjpq4QNkpUvjD17/wUaumWkbFFFu6Fakm3zXGbdnjTjkM2Rh9q3DHrFx05KFTBKSROe38y6dE926ufnzz+hSJ7ahd3QL2T8x2uwcyCaIJmoqJj1z2uW7kENmwoRgMAEFhXI597xJZ8gGzcVqtG98An/j/vjxdx+jGO5zI8Nufd3oiwLhy+G41G/EcXQGQUlLV8fHxo48+eg9c/d7AXjLlVVVNTEyoqnNuZGuhfgZExicmnnbK0amatq4MC4/uHIwxHVawFdXv/PDay75+I5DScGVvTQIwoJbyBtYx02Fj8v53/vKalRNO6onxMcNoWaNkis4e12YRpaQRITzvKacAAgWbUbOQgKSRjfn0f30/qVo2SSXNHx32BWQYY1QoRmGiFEKr1ZrxctP6+//1yquTBYjBBjHNylEMz51ICtZyE9WYAiDXal13R+8/rr6u6IxRaiQ1L3zSySccvZyBGgwZ6pvk6nwARVHEGHM14rx2GfeSKV+6dOnGjRvzncpbmxEnE5GoRNjnP+kkx8ps5CCs9hwCSU2jJjSVFGNthD+97Ou3bQijdJyZFS5GbZlYKEICyIqvD23h/b/1K6ccMTWu3ehrmFJEfHfrnh6/cyURtRjPOOUIpQIAgfqUyp2hSZg4Af/xvVs59EjVp7j/9wFYwA4QgXE2xigxLJ4YD3VFZNS2/vk/vnHd+l5AFtASAKBRzAhmA8BZUijUROCj//Lv29BumqbFsmrp+Ouf+3hQqb4BABoV9e6rHmbJv/mu+rD3Rj8zM/OFL3xh91wfFVVl4lqx7qhlR61a2YRgzLxMROwJOOaoLEXHxaqmVgjhNy79nInViLdUCbAFJMBPtywiQMU4YrOskA/8zqvPOPEYy6ZOZECLW3t8yWwab6096cS1K6dszl0miWb4roKYBbj2x7f/bIsvKJHCGIrDTf8C9k+ISAih1WoZopnpra3SJZUouK9O//ivVyTkUCAUECgNb9gGUlXErG9O+NZ3f/Ljm++IZsyRNGre8ovnj7VKpEaKsqXSyFC7kSO9xpher7dx48YY47x2ybE3Tfktt9xy+umn73bpS8yEpIJxeKg86ymPMUilVAJVVTYwlkBCqqzM86e1wiOFRM4wCqYA6wxzjJvuu+e3P3ktpOsBQYI0EFUIFCIRhI6BBcBtlBOgWYJtbUtmmZD6vW947ovPe6xFFSB1IoOkbAI7JS5VXNNtO9t76P2P+zoNO6BNMyruuU8+SZoc4Fejsd6eoto/ltlifvuZa37KEpQ6QdXQOHSBwTLPYC0zSJMoETnbpGiZrEigsW/efP+nv3g1RAFXCRgRw8nHuXzHkhBEQV/79ncjtwK1Y2qec/pRTz75KIQIdpyQlMuddI8H5UP6jZi995kQOa+x90z5M5/5zKVLl+624alEATExS0ggPvsxJy3tUCNs2VhrJSETP8kYZtaDr1CbVDRJRkoJTFtnut/69n9/7Mu3capYTC0WnBA5kGcautS1IN1GErcc8IbnPe73Xv6M5S1t0BKRAt74GWI7TeNVuWLj1pnlnUfGYVHVaNpLWnrS8Udy2Z6tvYPhgY3aYMiSmZlks8f3fvxT31REaq1lSfN9L7yAPgx73/Uf+fTXrr+vAsUOQeFgRzDcsm4cZ4me177qlyadtNPWlZPm4ueeDwVZnhWuyFogO6E/u7I1v/LKK7vd7vLly/fM9e097NVHItPyR4sbOMsJs3R9gI9cjNOOOUSL8RBmNTqYLDOLSJBAfNBttEUEEEMorBERa4ux8YmZXvPXV3zlB7dOC6uzBrCwIBSj+FihapVFI2DVMRue+djj/vclbzjhkLbndoAtnLFSW+lB/MSiJRu6D9kL7mtZ7ABvOo89/pBDOwAYAhgDstsR0XZ4lzbf+ek9t9w9XVqrTEqQ5Gm4SOkC5hckprF26940/u5/+I8aFhpFoCOrdr2PYOQg22SJ977z15bR1pdd+JRjljtHAlJVldyHi3Z0yfvH/U5vj370o2+55ZY9dHV7E3v1kXjXu951ySWX7M6lEp/IsoJIia2KdcUXr72DVQFSFWY2bLNbanaXQT3w4AwRSGdZWTGmZF3B1obQ+9o1Pzv7seuWtyhFUQOrpBRpyE+sBCZ1hJSETKFslnTMsx9/4v0133b7nR6corY5tY0ESVK0jTwCGyAiatT85ovOPnJJEbmwBIIoWaZMQt3OjudaapL055d9485tscMiCUnZqNcszb6A+Q9CIamrRev+TVHr5qxHrWIKgBuRTGM2SjBEROqYJjr2qEOWPuvJp5qQrFEVBbukYAKR7rDqD7LIc3hgcnJyzZo1e/IS9xL29kZVVXu93kg+ouSyUNX8sIbHnXL8oRPWOcOMrG+eOap9MfSDCkkJzCEEESmKItNsQxIDt6HaeskHPnHPdG0cjDB0WoZ3aQlcSFL4HiWfgARYkonCv+elj333659zzKGL1LZm0KnFhqYae+Ri00s75sx1x+RmIgRAINmgb2/H85/MvLUr37/+VmvHmiYkjWwZnNvFLeBAgIEGZQ4zqZ6+7KvXfOOGu5CERrlnrBCSuX41oRk3eOrpa0tFYUmDEBfA3HZ0+1zaDhu+3K9qvmc7+9jbj0QIoSiKfBOHwTKyhmvW+yssnvO4E+veTJLgnGPmELLSlDnYXHLM9fzM187MRVGQYWaOphxXf8u9G9/+F5dvagzQgEeVbgogxqHomMJZDTYFEagZp7Dt/FMP/5t3vPTlT1u7uBAqW7Y9WY8uBXhwyCGXs9cdZo3ClbNaSHkx1jQYK++XbwD40o/uaBovwYuCmRQppIVazwMHSnVRTJVixly1Jcb3/+1n7p8p0nDrGkIwxIaRUkpJrXMq0RmobwAmU0ChCs6tQ4d96ZzdOJCSLnv7SsbGxjZs2DD6HNYkADEjhSg2KF5w9tp2u0UiimStnVNx4b0//n0ONk5AmZsfmsZ7n0IUEdFaUjs5vuF/qkv+/OMbaolijQ5lApQAAT4owIiRSYm5FqidALCsHX/jBWd/6JJXnX3MlPHTo5feB4Nsl4noOY8/sQkRVEoSKIwxPCBQh+0DmiGEf/vmTwpGkWpTdkASo49kRnptC5hPUFXf1JENuYIl3d2jP/ibT41gk1jnUkqAGEPGmJhys3JQ4YL3yoiiTGASALqriZJjs9t1ij8gsA9MYbfbvfLKK0edEcNcq3WFIRCWL7LHn3BcWZZNr1JVa20OgcnB15mXDNd1nZI654wha60xxMxFaLrtjtdFiNu+c+vd7/vwF6s0qnExxa7R6JyJZKJrCxUSfZtiBAUqI3esc8ct5Q++9UX/+52vOuXIRQ91nDqHB76RCMDpaw4zrohgzvUgTCrC22+w8pkxxl6v9+M7NyJFK17BKURAXNk6CHdjBypE24ULlWodOi2YyPLft937kU/+16i3xAQVza0ODAlRTKRQWxYJMIaACI1ApAem4QOOQmZezPfazp2xD5gAF1xwwWmnndZut3PtbN5KD9xZJmM5B1LJMjInujiiHf75azeU7U6KyThXSM/DJBFzYP0eu4cmk/U9VRWzfa6h6l1ZBHSMBvHRlOvvnb7t1vWnn7GuZOQ7SwBiACkQQQJugZjmtjZEYDYgNgQzu8ITjCXg8KWdi554ypq1J/S2bbj7nrsjGTElwExKEmCsItfpqaokVQEnJqsJoYYpnWGEplIL485+1BEXnX1i/kbDs1qmRAQwIalKQ2xBqiBERvj7r63/4XU/FeOEGJrAlolJgh5sP/qBCyJVGEvEJAJlVSj98PZ7V6xYtubwJYyYUmLyIBNARoSIjDUgpoHZy0z9PwkAGGSQE59zkbr8/5xdq6qqLMt3vetd+/TSH2HsA6/8/PPPX7Rokfe+aRpjTI6W9CURhmHdSScef9gia4ukqHvdJgGAG84/PdhQxp6RGZLKGtMq2gn41vW3/d7/+6luZAApNJAE67zaSEUcng4dhqcdV/75r7/wo+9720vPO2txkSTU7FpiO+IbiaqwxIXhsgBaUnXiTCTLRQtMQWFc0SpcG+HsdUeN+ArKfUhEOOe9xXznB9c+3PuxgPmNv/zY5Tff20NMzOypDcBp1Icb2u6bF2PMbbfdVlXVAeaSY1/FmlNKzDwYgRWR0XzzgvGcx58YfaPgdmFQjKeUdEG3eg6WLAwiJUmsTTCcukJX/3TTW/7o0ju3eGMLkISQMplbRjQ3HIJI7eDr46f0HS8483MfeOOfv+XiJ65b2dLatqfYlCyJQkPJJy4rt2SmWBmNVWOTSIjaJDSNL6V+yqOHm3JigElBLEBU8F3b4g033/7z3JMFzF9sauiS//PJe70joqhIYPx8XSGzeYkxrlixYv4q2Y7APluaNm3aNDU1lYXkAcQYR+fWIrBp87YXXvKhmWDaFHtm3EjtIHGBlwYAVWhB1wAAIABJREFUSLDCjbWFCVabri0CinbURcFvWbtEP/TuXx9zScWI4Vj3yoJG81t2RjehZWAADbWqclEqWICv/vDO6265479/fPOt92ytkiHrRCRFT846qUEl2ZKIenVz4oryn9/7KyNmXFJhYtIAwMP9+9dueP8/fh580GkzLAAAq6/M1NNOWvWnr3+mM8mrcwzSiOEFzKPhvc9cciKap80lRmOfVc299a1vveOOO1auXNlnEGdXfdj5CkyUdPM9M3fevUGBSmyZm8sslIoAAJRt0kRERo0lZSNJ0PNK6n/hgnPOOGElfM2u9FFbhYWm0aJxO6PgwCpJQLYg46CIobGQ1YcteeyJR73gqY958TMec85jVh+3cmLZeLF0qhV8Q35GRIL3JHFsbPLMU9c96eQjRjZSJiZAEogimUv/5St3b+n9fHdlAfMVjrSbcOd9W0qk049dbgwnYkbCQyz0HSxD6fV6RHSgymruM5fn/vvvP+qoowDEGHNPJmNMSmlYmIUBqPzCs5749f++puJO27Kva2vtgiHPaKERDRo1iqpxqhJC6LTwmmc94aXnn2I1oSiSCluOoBhs6yHOZ4UjguEETSACsXGtRDDaBVyCbbXKNasPO2H1YYzEKkpGU+pFu2XbTDW9pRK3csUSm7bADiPDiBIDEhNZpmmPH99xn6aw4JUfnKhhlrjYk/KvLv/GKcce+tgTj9AksA/Zm872JLvkRVHkRhMHJPZZdOLkk09ut9tZJjj31sPcfd81NKlpPWrV+NqjDvUJhTaFscYOF8M8yBCSVzXOOGZEhve0rNN6ztkn/MoFZ3ViAhRETCxRCXDlQ34kSEWBSKYh48FJwOqNdCsa81SA2AIFxGgimEQuKqtxXNKK5RNrVh9+wnGHdiaLZIa3tsjCAKpkHWB/9JM7ZgIRDjq5tAVkJGGNyYmPbvz3/+9nb7yncpbjQ1ePyCzyHFoxxoyPj++J0e4P2JeB5pSStTY74/nPEScTaQCMhAvPP4eLVqi6ZVlU9QG7xj5UeDfute2TjRAiHSuLx55w+Dtedg5rYEsgGxJIQ8tGEyqzK8W40YjEBFiNpTZFqgxL4qLCWFtjIclI5rAzwZDCiDoEA7GKQgWyuZTKCobLks/OxCRQhii+94MfCbsRShwLOLBRWuqKs0xtjv9Tl+//yGd6QS095Hmb+8I3TbNbIb/5jn25e221WuvXr1+5cmW+xbspohXLDJB79mmH/c1lvLnHPZ1rH3UwIcu5icZZtSkiawoRmWy2bHGLQVwKwsy2x51x/Lvf9HwnNbiV3+jM3G/tHOZETnIYsf/hWeLGWrvD6+hPFLKAzRkWA7QZgN0uW5GPiQAHoCAADLsEQAmMch2UDAmMSUBPwal6w9OOXLLirJXLJsfaHSLTnak3bO3duWHTj2+5/cbb18/EiRC6BUuKvnBt2LIOUS0XGkRNjHG8sBpmRE3NnejGW3GPN0hawAgwwMze16ZwxhjfRGabBG32W6tQji8KCYxUMCsSM0cyRhpCc9yKySeeduI5j32Us/Qw7FV+TAZ7xO/n2LhxY7vdNsb0YxV9jCZQ7mO354YbbrjxxhsvvPDC3YshxKDWASGo+8hnv/Phz36r9tG1Sw0H1x48Z2+cc865XO8gIj4G68ox8puSLdScfeKS973hF8sWCsFu1sfcPHcOeU3NW9HMKcrHO1v2Rxx1XbdaLRFRMBh1hLVQwKVgTO4uI2CrhADUEdf84Ppv/HT9f3z/lpnoQrdnpGl3Wj3vHZErSh+l8sm5whCxNhoadQ+NsbOARxak6pzzyc9ONaGybItIYOekMbEXYSK3lNjEnou9JYsnnn726Rc+9bHHLi8tBDGoKR5eoX3uEPTzi0884rjtttsWLVpkrR0bG8t9ogGo6szMzJIlS3Y4uX8CM+etxg4n7GNTfsUVV5x55pnLly/Py+bI2y0SiaxPKLdt6l3wBx8hb7rScweZdLUiqVBRFCGEKCm3yjTG9JpYcE1eV60+5K/f9JLlk8mYtieMSCaEEAZZWbNy8Mw71zTvhSrnTHSPIThnoAqi4L0rCoChWekuQRQiAIEomiIJqoT//M71V337J9fedFdQSbHxKFoGKinAcntKord+2zjqmRFh+gXsefBcQTAbqJCqMtsYY4BVPzNZknVlUIp175TjVl58/pPPPeNoAkghKTIpM2FWKOuhpcfqui6KIjsi+7wsSFX7Yq7MXNf1Pffcs3r16uwwVVU16Iz3H89cSmmtrevaWpv1l3q9Xkppenr68MMPz+fv+2Bkt9v13k9NTe32RotvtDAMSxJ/+8P/ddXVN4KbYXrcBywkurIdQvAxlWWpqjk7by16DR+1wnzoLa9YsqJTJIERUTuS/DdrowenSJZBz2tq0zRlWe5g8ffUZSlSEmcZEKgAgCQwR3I6ME1NPlbkxt0p1ZZNSu66n2259LIvfu/W+6joSDNtNTFztw7GFaRioQtyivsWzBxCIKKiKEQkxpjNq2MlW9Y+WMQjFrV+/RXPP/PEQ1sEE2sYp2TypjubddJID5fRFEKIMYrIXst83nfffZ1Op09/7C8nO/isIYQsEZj/7P9rjDEXw+/8yfmcu+66a2pqanx8fFaZYC9c0mhs3rx5bGwshwt2t4tvEkqTekBxy/3y/EsuXVRyb35EwB4xKJKzZe0bY5wxxntvmdggVNWiZYv/9q2vOHalcnLe2iJ6zGnYjMDg1OlHVABUVdVut/sEgD1/ZZKlbfMMzhK+3vvCWhBAs9JppKDZorAgqmQcAVm+vCZ87fu3/Mk/fm7TdEW2DYCRVDXCJi6cNHv+EhYwFIOJmX4NvbW2W9XQsKRtX/ysJ7/ywjNsQkGRiD0xA0aVNAJQdgEQoPVwB9A0TYyx1Wox8/T0dNM0mzZtWrt27SN1gdPT09n97z8s3vutW7cuX748P0qYC13m+9CXn5oVXk8ppVQUharGGPvOU662yefsoOaYY5L5eNctu/Y++kGiUeNRgBpoCe1GHrMRb/7w57/5rWtQdPbeQPcHkEBZiWeXd6bScdWbmVw0dembX3TC6iVGOLB3nnzhCg0jSoEGbbf3/qqrrrrwwgt7vV673fbe51nVn2d7PPuvEaCY1FgrQBLknLZJDZgBQs6gziVOFSBI8JUr2lmbg6InE7bR2B//9WVfue6uTZVMjY/Fasa40sfEB5+I5v6GPJdCSNaytbbxFYlqZ+kJy/gPfuV5a1dOAVFhiAgpCucNZZazFyBLO+BhkO76zkp/PovITTfdtGrVqk6n09dNzA9Ur9cLIdR1nate7rvvvrzkOOfyh2TD2hcBzJ+WNV6aptnB5c8RlX5nhf637+Cz9l/ZwQYOPncj4s8ppRDC/rLrzLdjxAlKABwogtsGgDSvOvdMbh90uSwmm8NtIYTS2dJxPTM9Nda65FUXrVu9xEjqAU6sFsYBI0rjQgj9HV8I4fbbb9+4ceMHP/jBK664IsZYFEX2YvJ37QVR2ZQEZGYfuaQ2CzSqJlMmckpW1CbhCOT/SKURlmIsJLHasHSJ4XlsEv53XvfCN7743GVF6E5vdu1OXdcPg3y5gD2BHCi2Njf60U6nc/bRYx94xyuPP6QDrZDibDtOYzn1IEHBEZzIgiw0QUYomQ9FjhyqaggBQI7trFmzJnvoxpj8LGSjaYyp63r58uV5Pzo5OZnzjc65QXPc/38mC2Q/egc7nkW7sp+UNyW5tXp+7nbugJYDUBjIcA76T3ag+WX23PO1oB+ieRi3Zk9g/fr1hxxyyIiNfAKMANz1OlYowBEeL770i7fecOPeHOf+ABFxZauqqk7b1TPbxlvuda9+9SvO7DTUhmqpXrnMjTmCaDE8WJ6D4DHGrVu3isjmzZtPOOEEzE2UPAv7M28vbOBUFUQxDkbM1ZMjhZttCZMzZ4k4B44kSTDsRBmAEmKKpVEoRbJf+v5tf/L3n97kLbE10J2fnAXsTQiUFMw2h85CU7Vaxdq1J3zotY/nzpiCfUJhQNmrY04AAQZQiQrOrwhGpfFHoO/t5oN++qfv9g56yjsoiOxW6a//rr5iV9+OPRjq1w5b3mGOeZ9shl159zHG/cUr37Zt2+c///l83K8Y6u9fADCikAfahWrSpLA1m987/xiYkmMtxI4TqQYaMyrgeZ8L3aFvQx/etgwpQtUpTK9qqOi88vnnveKMDqhdAiURuKS59ODOdjz7BYOv3H333VkDJ9txAFlvKAf1BqXkB3+Once28yv93cPgnyOuN8f75oSLGWRBrgAsQYEAROJIJnHhZ3s2suGsnA4mGKA0NsHVNaw05590yPve9NKpwggcpcjMhpQ1kkaBSg5UYcG+7yWUhqYRKjItIk11NGNnrDn6795wNncmACagNLOJO2YmgFKafYbZ5tCKAaxiblcm0ARFfkj0geknknJQfbsJ2TeO+aAfie7b0EGDm5ONfTzI0GL/tEF/9MFQeHf4/B18ph1G2I+t91/ps2L2F1N+8803n3766XkTlKnTO99llSwrT6qqgtLSmjVrVi8py8kpSY0XqKpJVa0W8cDMcalqGboBJoTGp1h0Jl72jNNec+7JUYcGmvoTOmvd5I2k9z5rUm7ZsmVycrLb7S5btmyHN+ZJbIzpz5j8OjPvYJTzLq//Yn+pSCllCjzmdrUP6UrzN6boSRNBHImVYJO3GgsMDZgY0VbbJrWJilNOOOztr3zeJLpqbEjio1hXAMQgZrZs9CBjsu5DVN5PcFFI1VMvEY85YvK3f/VCtmPDzu+7orkvSe6dkhmJIhzBnkwkKIjEU9gGosbHJMzGAX1C7YG/VGfjzvtPl9KLLrpofHz87rvvds6llDqdDgYE41NKNNcwBLNhowSgtPSa5zxpenq61WoJCmNMm6LYdjmqQnx+YHD5HQQTWhzFdlrtiXPWLf+NFz+ZSRhDpZzzdrL/gaqambbGmJmZmZzbPPLII3c7ksE0+uDA+vyW/u6y/xA65/LvmCtId3u9/eNBf8rYQsGa1wkiMEMFI7Q4KDZNE9ios4XiWacd/voXnhPqLhtnXTskUjJEJDF47xeCLnsN1rU7MEZrtTRWure/7NxV7WaErGm/yiH/mTN7qhrJErPVUKTaNjMMiVxUbpKAsrDMEIXOTidB/Lkkzvdn7LDn2I9MOYCZmZnFixf3/xwM/BtjAM6J4P7rKhJDOO+sY49cOuZjYoamCGbEJuqB+YwSUQR8YmPMY46c/KPXP98pvNjclHaXyCY129/8/1xUGULIDN/Be77bb5+dNNub9cFZZa313udNX4wxhNAP9o3W2NnldwGIQCIStgmsZJWscqFmhK4jlQXbLMSlwaB78TNOec5Tz0i+Uok+JFUyRCbvOdx+VwF4wEJNr6pAhiEvOO9xpxyzHBJGzAjtU5Uk5qbMzhkioug1BcCACxQdEKymNgQaxFcS/UBMkR+GkuI8wg4x2P3IlK9atcpa2+v18hY+L8sxxqqqMJf7zongfgGrc8Zo+tUXnxdCYEqG4KloaR3kgN04q203pjx5RfGBN77QGihQsEQeatryap1z9IP58WwrJyYmHt4wdjbrGTlHFEKoqqpPic0/5YOnMw5+oIVYSGaz6FwX0TCcUBPJgmARJUSwAbjQ9MZfePrJq1dqM91pl6KUVInUMsdwYC75+yGaKraWTvlkV02Ovfz5Z0IDtOOGz4jsZA5uAVUppQRbqHFKHKKCGMp93VpmNoYBSTFmIxfTvN+dP0io7mcteHJmuc+TA2CtzYUq/f3DAxVQolBOKT3j9GNPXL0i+Qq2SKpjBcMcgOK32Xr6xGsnw5+98zXt0oYQCAKwH+nvZpJ4Ps6mNn/Uzno9P8/A+jkia20uNVbV7373u/32rdhd5nPXiB4SoYGQGNFADKQYvgsBEEOEatsxwKBCRFaUeO3F568YN5R8lMS51VFKGPk5C3gEMTbWnmm6iP5XXnDhIgjYgBkYpWyai2gwy9aAgmAMgNCElMDObOjh8m/+5F0f/dIl//BfW4PztoxkYxRrGYD3keZ/oHUY+k9c/8/9a4M5NjbWD7Zm3zxn55gZCtHtwmeqSqrGFozwkqed+scfu7+n1vqutEwULQ6sH7HPYz2qEz/4m6+caqFO2rJAStFyZ7h30y8hyxGVzGfapRzPI4jJyUkATdPksrp+EOYhBfTy9ivaFvBAnkRSYlKifsHIjrDArHKWRhCiGGOMNL3Hr1ty3uNP/cSXvkc8pmAyjjQVhTuAexHsV6hjZVjWHD711NNWGRGAQRhdityfoiEk61wCgqCE3H7P5quvv/PKb1930/9sIteK0SvSdT+69rUvf8mTT1nZthYAkVhDNKj5cKBjv7vQweKr7digEAWIjAIqwrM5bQiEWQLsxe/51M13d5eGjY0pGyE7zx2ufhSsb8TzwUffduGRa1a3AZIGXEbASCQoeDdVnYMs1L1AEt+wYUOn08kEmL66y4OvGs3RdhH51Ddvvueun8W6u+aYox5z0gmrlo0ZAHO1oLt6ZxOp9AkdFkSfXAuAkQTI+p57ze/+xebUqnzTNiTRC/avdNEBDM/aienNL3v6S556imkUVmFCQjlsNoiCMJuJEREYs3Fr9YNrrv37r99xy213gCy4CClaa1W8JRJTorfx3DPXvvI5Tz3+8KWEBOI5gutBgf3xOvvB3AfzmAlq1hYUV3zjB3/4ia9qapuwrSmM0fkdLk+2nXpby3ZLg3eWamrZMPPHb3zhOaceM+wtO3BLsgXXAV3yfoh8Tw/+s5/97KMe9ajx8fGlS5cOjmoH3Yntxqw9UMuLGjYmAoQrvn/zez7xnzIzDXIgA9GWTSceteyCpzzu6Y87ZjwmNhHEHs4AJnkwexraVkoBEvmn//zOn3zie2x7JU1UUiEZaxYK+vcG1FDpw5WXvmGcgucJGBQCcBzqmEuAajIFQRn0qW/ceOmnv9md3qpDZq9obLVa3W63xXLu40998XmPP/nwSdJG1M2aEVEQ9Q1eZrPOMtkfsINZJ4Af+LcHLmBX30rST8/S4GmaQHNvIIYyaFan2WBT5CVNQseA0EQBuGTJzKxIKjBFLobqV4fs+npFctwiX533fn805bnUsG96RrtyikDikLTr6NW//3d33h+bpnHjLjXzW8dckw+w46WpfQpcTuq23/zF889/6qnDFGcGVVP6wfH8S+cMxMaNG5cuXbp3nJQbb7zxpptuevazn/3A5ewksJPj5v1dFysH4wmFeqWC3vNXV1z5ndvMmMRoQgLYEEyKtU3V4rZdPNV5x2tecvIxy43Whh1mY6KiAA3J5Cugvtniype87dKZhJltVdFyDJNZrQvY00iWzll3zP9607OMSGKrSFYNMFwjSFMigxRmkn3fhy//5vdu8ImlvVxid5enM1ICyJTGGF/PsO+etu64ZzzlCS84/RBXtHSOYW6QFV0S+r+7EkBKTLP1Ew/U5T8wFtX+BB70QgBkoQERQT+EmIP7yv2FY9ZGMwHokitDZRkwZRWpbRUq3W29r98x09v4P6evPerIlUuRmXh5Xz58t90XeBGRu+++e3805djJMR+htOU1FHAAGsW3r7/znR/8ZF0sZp3heS5+y7G2rc50r8vFRGHplU89/k0XP01plGZtNtn9mkxV7cdVvvCFLxx77LFr1qzZCyNX1bxs9NU7dynLNUgcVlVS8gnGSQD/7l984ls3ba0bKVItlkRUwMYVUBaNkGQsjWv9q7/0vOc+4fhSAxIauMKCtAGN4ClKBH/oc9/+q09/x5U21RUNERFdwCOOKqUPvv555595hKglAqQhKkEyjEQXgRgVRG//Xx/66m29gmncyOaGimG7KImwLiZKREXRUk3RB8vkLB7/qNXPOnPNWWsOXTRZACxwnuC278rSj8aaweqzB7Nh63vfcy6+QEVAcwXnu7g8ifds7V5726Y77utee91Pbr1704bAnZmfvf3XXnXeGavLXMiKvoDSg4hMiFRVtZ/O41xA+GD61ySAJRLbFD2b4s1/dtlXbt5MzWZnH2JL+f0MIcmYjdPBtNvtZ556+CWvvdCKsNYwQ5Ugd1ZpABBjvPfee733N9544zOf+cw9PuwQMkNxsJFFFgDIwp7DFF1ye4nI+L2/+eRV39/QRJkcd6Gxgi4AA5NURZCyA2VYfd0y6a2/9KyXPHEda1RTCEChx27X90dVQUqJ7657L3j7R3oUOpESi+xPfNwDGIr0mT/+1ZWLbAXXwuyiOyIrGQFW/P6l//y5a+9h10lJU0ptNMN059m6lFJKwbIpLGcluLIsg28COIhpl8Wxhy098/hDzjr+kONXLlmxfBEAEKtIEgCcy2zC7GihAA+Y8l2u+AKUkPwJCoZhotlVodAIpZAw06QNW2fu/J/7br1j/b33b/jhz6qfzdTTIRUSx0whia2Jzlbvf/MrH33cCicwlEDG55BLbqu4K2RfLSt5NU1j98MmSRm5qdAgi24kRKDGMLT5xec9/eo/+VhRtGqZ3zFQ2x7r1TPjpT3tyMnff+2FKUEM8/AEQN8l7++5vPetVst7PzExMT09vRfs+IYNG3K3ir4QKOYEAPIWNbvkg9vVvnQ1gJrqv//Xq7/87Xujo05pqukQeMZyyVAltVC2DDZBkSRx2a5AH/zHzxy1bPLs4w4hhgqG2fE8DK+xAA4Zs2euO/obP/kJ2UJi3E3HvAU8Qjj2sGWHLmpDIxF0VnQ+jVDuZImXf/Xar9+0sRdoyviYlEypqRrmpdZ13S6Lgm1qqiRaWheRqumtxfiiEjAxxtDcctd9t9x1z8evSqJxxZIlK5ZMrDn8kBOOWH7MIZOrFrWWTThTOscl9Sv+B+ol8qAGv1GVVDUye+VelbZ1Z7Zsm9m4ecv9GzfPzMxcd6/fvG363o2bt3S9V1IuhV1SLKc6hWa8NMYVm6alU7aOXzn1/7zpBccsdhpqcoXCzNSxbFkCNAQM6foySNfetm0b9m2b5tHI1d75sR/lmEeQZUBjE2xhTz1m0blnHPeFr3wf7b3UK2QPIdUzpjV5zKL4vje90ObNVlLhctiN6Eud5INc1ZlbTAHod43ac/jMZz4zPT2NuZYCqprDKX2DvstuRA8ULsF/6svXf+yL1wjbMUtB4ToF6optAU2aYkwRc0weQ0hJIlxtxv7obz759+99+3IHw4jDvRgAjhykBujCp5x69Y9/6NmlBRGWvYXTjl0pgIG1gEIAA3gMj4L6oH97xdc29MxkyarUtpDYFdOB7Jo8OlbalEIQgW0RUU+JjDWTtpreXBamIIhKCiHBiCnJTW7Y2t00Xf30znv/XURiyjtaY8zRS51zrtVqdTqddllkiQvDlFJSRUrJh9A0oaqqqqlDCPdOw3vfhJiUiC2zEaiqGta5bJA1holUtVHVLYksEKq6YVrWxvPOWvWml51fWoEkGKtKQmi3LAmMNobDyBkNAN/61rcOP/zwpUuX7r+mvCzLvqb7CFNuDBSsSLZsx4gWh1df9MTvfu/GjfM8m0UprGrH9775FZMthiLFVDhKIzUrmDk3Y8p2k4jy5mZsbKho0SOINWvWXHfddRdccEF/MNnsZpturd0h7TFIp4kxfuXmu/7Px77kW1OmaBqvXmpXoDRTta+YLbFl45BENIKUmQvrpPHExb2++KvLvvi2l503bkGSholiikRmq65g8GPXHdISmTbsXCmyIGW+N3DK0SsaoANY9ZEcQKA0gvd92bdvWr9hZmLJodXMVmtbLE0KjS/csHqRFGJSAVvmIqlGEVIhCUV7QpCq4ElROFMSUupJNaOqykaJlAhsiZ0wgcxP7/NE3nBFtIVUVFU0qiqJMjPYEhF4dpepQiVqVXWEggmGcjsgEUlmHAaGAE2aBJqI1ICSbal2CsKkk9961YXnnnoEUpNQgtkAkoIxThSqCcwIOiLl1zSNc27NmjU33XQT9qvC/Z2RWXSDmuu7gKKOnnIi2oFifczy8Sc/6Ql7cZh7BIsXL/6D1z3v6GVtsENqCiMAm+HaMv3oc7ahRVHkV7Kg1Z6Gqi5dujTb8byLGpRnyb/gDgqLfQGGpmk2b978nr+6EgVIU4V2KNN4m2wovDpnSDWllJJArIMpE9mgXFXVmBFOdS32yquvv2tjCN5bHn5/mGOUBFZFh6vTTjopkoYwzxf8+YPVK+ZayGtDoAiMzir+36uuXT7VbmY2o5y0LJICtSZHOJ5qLNiCDUgMpM1xnJqOzJCfYUnERTRjPbS64ho1wja68WTaiZzCMtQgudSQnzHGMFsVSilzL5TJFqZwrjTGqWpKGmOUBBUCU822Ma4xrmZbK2pFYJOsM2HGxi6HipIHRIkS2UCGtGelfsKaQ//xXa97xqlHVNBkShNnRUqYgVQxEhtTi4vFKF2N7LctWbLk7LPPxv5vyjHHZpmVPE0JgM41BAEARtu2CI5ypZ8Zl5R+6+JHL1pki+gsFVJSFOeEOfrwMJXr9yCiQQoNoVVpTJasFqSRWu4Dr33C2tVLlSAiMCXIqUQQ+uo02F5AfOdEorX2kSrN380lxJhSyhTyHSTOByPm+YApAiIILJrJWt1QvvwDn5qpm4SSNbSl56LxsUyWibq5iocZhIjUQANDGRpaFjApmkkbe9H+9ee+zqWFDN2NEhAZFgDVhR077og2o215wSV/hJHYC5IliwQiUpKYvDO0+vClRYwggCdY1RKA8cy2jkhQACECiAmorrlz2/T9900Hy7awqRdFxLVVE9PQpXd2k6eiKaqmpNSo8VSKLQRgSgWFQr1BYmYlwxpZY55Ls59AhoybfZ2SITDPmSDV/B8RMcMQmBJTYo1WxIIZBmoJBcGRslGyrlUnCq6AddpUY4aNSgQdbePvvur897z1+SsWMTzaYgygVkwWOicH087k2pbZMfw96AYB2Lx5c7/5EfZzU4650fdVmfp5s5zi29lbzyaDmV/13KeD627wlFIR0ecOAAAgAElEQVThQlBELizV++AaRsLBk1sSMT0Otgk19cZc503PPWvtmuNLa0UfMNwZ2bBlibG+0RzUCu93cdsLNLsrrrji2muv3bBhA7ZvZzXiq5WKCGFxcKyhqhq888P/NrNl12ThEUg+ACjLsq69c+6aa390/7be6LfYTJ6BgeK0U05iCWYUt3MBDw/b7b2IiJk6rXZRFIMki13ss2dp1EZhrr/51r0z1p8fme+rKTpWx2LVW4mWpNektuM2Gg2NG18yHdBx+pyz1l76/t8673EntiCERG5WK2ZE4HTQhc3I7eU+//nPb9q0abDgZn835ZmYnOVSmbnX6wFg5uwJ7tJk5JXqhWefcPzqRePjY7GJKU5zaZQKeli9AfcoonfGznBS0URELTbPfuLRrzjntLa1DJDmtRqgLPvJeY+SG3jnH3WQfc/MW7Zs2W2j1EcE3W731FNPve2228bHx3OqE3M3f4SebS0wsL1UkQZy7b+84pvfve7unjzk3YNhZrLe18ZaVd24pfe9G24dVbysTAAUCkBl3XGHUayR5re6w34IIoKqIhFR7hJjiRdPjQ/tlaOzHbhnbTshwn3n2nnT5bH2kQFnCMknXzHBOqOqLUcAZprkuRTg+FWL3v1rL3rvq59xaBtFaijMkCgABYy1ZvjEzRV/NNASuiiKa6+9dvXq1TfffPPgmfu7KcdcUDUHhvqR36zs8UCYZSeUwb/tNRcXqUcoXdlSTSkIeL8LsKgZF7+5cC7aiRDSUx+16m0vPYcEKUYaqKCZDUDPbVD68lgAmqbJURciuuqqq7Zs2bIzUeSRxeWXX37ddddt27Zt2bJlF1100djYWF5W+31CRlTntgmaUDgHmH/75o2XffU7VFXamnqoYyita2IQiVwUKaVWZ+LrP7hxVPCVAI0AIhTEHcLi8dbB0GVmL4NkNtetTKoEISZdPDWbeN95Jz1r0hUyF+gQ0K3r79urg/45UJbtHP8typZ1RRO1iojcSrANOVuUK8fwjhc96Z/e9fKnnLhSq81AZGZ2JdiAQATDiCO7nmU9wXxXmfmaa66Zmpry3g9WU2NemPJsmLL+NbavEtzBZg3OEjLFiYdOXPiEk0rjBO1U96Y6RUj7nSkvuBGdasgbmFOOOvT33/QCKwyCNTbP7dzDYZb1MRdI6YeeVTXzuAGsX79+zZo1t966Bzenn/vc52688cZ169bddNNNy5Yt63Q6Wb1yoEPI7nTJk1cjVvm/7+r++b9+Mc1E2wH7hxz40hR9SO1OGVI0oBBx3Z33j5YU4tnqfgLEqD/uqMOMOZBbE+wTEBkAQgKICqkSi05NdAaN+HZbRoVm/dq5SuZexMbuvMlhhBBUKShXQQIclW2yZQRUdZEJv3bRE/7lfW988ZOOtqkCibQXgzkmDclE2KDZlRA3vL6nz+LLYYlsx7du3XrqqafucOY8MOWYS6z1eREjOv8OzhgOM6+/+GmrJl1q1DrXq7YVbmgPzH0Fmypxrcqb1VPhz377JVYUbDCwJuX9x+wxiIjqusYcLaT/p/d+amrKOXf++efviXFmTuGZZ5558803H3/88c997nP7Jrt/8KAEY401Wt1V8bv/9t+nZyJYXTFOafphDKgoipSiiLCklOS+bX4k0QkESEogByVDesjyJc1DaWy0gAcFyeG+rGUCVpDKeMvRAPKJ/UdV8gpMZABJ2Lx1pp4/fdyMMWVZGnaSICmgninC9BLb/PLTTvi3P33Lq849ZdJFmFagtpLlFCKYbMHGIvsWue5fh/ogWUMphyUuv/xya+0u7TjmiynvdDohhPXr1+epkIMtfePeP21wtRcCu3LShTf8wjljJJGcGy/Q7HdpzwBum3jcosXvectLFtmqgAnJg0g1qs76JrM71oTMws2Wvb9c51KgTCo/4ogjHtnhZQueU6nMvHjx4nPPPbdpmj5HJW8Icg4j63nt5nqJBGN/+A+fvvuebRxSKlq+iv6hBzqIiF3RNJUxhiBl2a4SGKNNc3+dV0AgGue5UM9+iUFhBmK2AMqdGu/tIC+hlIPlwsCWzVtlSHHAfojoaxExjNJKB9VRE3jZuad+5L1vfvOLz1lSBms1sWuArMrNnDkz0ITko0rKL4c41JRnfVNr7f3337927dqbbrppl3Yc+3O15w7Ytm3bkiVL+qX82YjvksGSD4TAMBq2Pu30o790xqOv+P6Pg/hFhGo/e3prWy7z/nfe+MxjD11MaKCVQ9sTCpqNkgvUEFOW/FNgzpRn5Bxjbr30CFLI843tx+hz1UOf+bSD3oP3vt+Oebdy5BbpfZdf/YPv32oE3JmKTWxcQzz+UDOQIuKTb5euUWkzK8gnGkFVVgVUjCkCAGZIaprGFS0dGaZcwEOFqjKRaq7nBBGxirOzxLNBl7x/nNOeEgNbAnNVVcxWdX545oV1gPS6vcOWTz3//HMveMK6VR2QNp7K3NXOqjeSoATTqqjdRgTYMttZxX0RZR7eGS+LcBDR8uXLV6xYMWIk88aUr169OqvGYPtCwWFoIoxlMi0Ttr7jl5/ywxt/es+MaYxnthK9MUbAdYidifFYdxE97eEecqRJvZRjk1tCVRS2iCGEQGOdzsymt73hl05bu7LQCHJ5e1poBOVmKJjNbs96OcCc3EpfaCxrV/2cdvzjH//4SSedNDU1deSRR2LgDvfr70e8t89e3/60ADgZUBUnwGn45I+aKz7zFXKtxKQIkcOYLaP3w3SohyGqlE64asF0pV36nixpcyI7bKBEIHIKaiG3sBnf3CQbemGhdP8RhUgE2EiZOBpVoV7XLWthVnShf1q/frshlBoBeNPhJM7Eac+VaMEeosxWVZFm+16lpIM/sAL9atFB327Q5a8TG2NmFctFsmtimDV2CYaIhEiFlJiImGxQTSEwU+GMJkkpGFJjDEWvxgoVkpMBIbCEwpKj3lknrXv2k04/Y+1RE4UAAaoYtCZU9L3HNpASGcMgpKRZmyinCPqs4u26pM3xjHW4NGwf88aUAyjLcvBH2qWmRx9jFgpEMdaOjQO/8YqL3vOXH6upReqNIWMoNnW7aKeqik3TLos9nWcRKu1EmultnCjGYx2TA6zhKr3u4vPOWHtEi2b1jpVyVHfoz5avOm+78iu5QP9hDOmee+7JjX5ardb999//5S9/+aUvfWn/M7Mnnj98t/qUO6MRVzLYmiaZ0kihjdfih+u7//DRTzReOi2nPsEgS7up6q6l54aDLKcqFJ1xm8omGlvq8cvG0ghRj+2hQN00qrpfNl+Zx9h5mmgMKiNKewACUjLGGWbxjTPUKTjqeEISIhCUlIj+f/bePUqy6yrz/PY+59wbERn5zsqqyqpSSbJK75eNhfzCtiS/9LYNBgy2AeOhoW26eU1PMw10NzPuRfdyA73oNUzPYsEws5hpDAND+9HTuO2xYYzxCxtbtiXraVVJKpVLVZWVmfG495y9548TeRWqqox8VGaWKvL8luyVlRkReeLmje/uu8/e3ybDYkTwfFzf3/ssoQRAxEQUN1CjVjQzDaEQL0TkmIlJpAxFQDbqQ6kicWA3QzRICB0mNBuNEEK72zHG2CwXkVKVXENESL0hT0V31NF1V172shuvf8utVzZrPOLiicelhxpWYCVf1hjuRNc59M2dr6ZgxsgpfuKOHDkyOTlZq9XW8gG/mKQ8Ug38XKXkLtow2MwDmYY33rDnW3d8z+//5y/UR+o+hG63yIwzFDSE3NVEXuhouQV4Ce1OUc+ck26W1060y/FG9pprrvyB218+XmNoFyHAmuiRb1YOFeO7ttYWRbG4uDg1NbX2EvKPf/zjV1xxRbPZ3LNnj6oWRTE/Pz8zMwNg9+7dUcfPLhBqt9uxjH1dGEY3iDVsDKABME+eKH7ld/7o6PH55sRk4TUaWYiIquTOlGHdx79ua6e7i45rYnNbzt/7va9d9SVimoWIRbTVaoU1OVIn1gER6XJi0MYhyzqoqMkSoKQCIRgGO7d7Zoq68xY1FmFrmFFq8D5oCZAa7omkIlT3jgakahBjIO2F6zH52u3NEWUikt6PDFlbBACOjCogREEFBjBwlhfaHWOMy2tltxONQ3zwpR1h7U7V7UsP7Xvdy65+6RUH9k7UnRWoAIIgAlIybLkac7ESlY7HdHEVJPXnMJm50+mMjY2dPHlyjRtgF5mUx3Yh51zslOn1dJ8TZaMBMKXCQo1f+PG33vbAE8e+8OB3arVGYEPOFp22ZZNlrtXuDhzqsBkrdyEPdVbtyGLZbY3mY1fONn/pfW8czzw0wHuYTMGqMARgRUt+AHGe/d/8zd8cOHBgenp68O/98Ic/fPXVV4+Oju7fv//UqVNf/OIX77zzTgDRzXlmZsYYE88tfaGxuDEm3gHU6/X+m4A1YtWrsQpY7ULoqY775d/+g2dOtvOR0cJru1vU63VVJVIm9t4P8Ds9Jw6mq8EZVpCA947iza+9aa1PJgBot7sDKgcSG0ZViZY3P4msoWa9ttKDCQCBXGYACcEYHm1ko9Rpcz1AGQLieOY556y1i50i6h2TgfTcebyKdR59ezxUjfChWn+qMK6KQPXyFDOzdQouRb1ACUSmbC3WnFMtWUJWM1L6sWbt0ksv/b7L8+uvvurQpbtzfn5Om8T5Fcow1cdVoAIdNGs35lViX0gsNc6yrPrEVTfBtVptXSHURSblWD4Qq26vKTOpNypKDDAUExl+5h1vfPLf/empVrtWa3aKgtgpSdt3KDPYYn9zB2ugItTixkgj24XOr//s+3blpQqpgkwOtlJN81NZaaJ8LCR/5plnLrvssscff3ylX/f4449PTEw455aWlj7zmc+89a1vFZGZmZmo4zEciGdPCCGaUFYRQafTqdVqWHaNjxvo637Dqo58KNrIslMh+9Xf/qNHjrVdveHL58/d+HdkUFGWA25EzolRXiA/TcZntizbP37PHSNNkjVPWCeiTlmQ2eJ7sZ2Hai8dgt64DxDRSGNFKWfAl8FaywQyBhp2jdd//Pvv/MPPPn765KmFVsuIZtZlJhNfLrWX6o2aqkooY9BtmdlaZi77Zlv236eqlhIkiDAjM2Z5FkqgkZnSe+89SAyRcwYkAEI+lTtzcHb86n1TV++fvPGKuZfMTXOc+a4KdFF4gGFrQiTEcQqnAKpghSHt1UetQAzzAVQDv6pPYqw4/NjHPnbzzTfv2bNnvR+6izIqifFjTLOs9JgQ56zHOapkoi2VMv/JXz/xP/3hH5/WuidTz1lDV1WVzcqeepu05tLmdqlVihudG9HF3/ylt73s4DhKqKtXv7k3W5AUKnHb8xyvo1oUhff+9OnTc3NzZ/z0a1/72szMTK1Wy/P82LFjl156afz+2QOG+sd6nB10Vy4u1WdyvU4AKiBqg3B4Mf/1f//hBx9/tstmvgzjeaaq1tpWa9E5B1ERsY5XzqaeGxIqapovtJTkvje8+r//0ddxnPK60k0aQBAFQzyxVeD2n/8PS61uavfcXBgSCA5ZR4tMM2BRefTX3vP6e191zeAnLm99SUDPpfs7R4997dtH/u7BJ//+0WNHTna7PMK2XiufDVAoExEZG2cfqypxeKGC98hcAxpUFRJUlZdFtlBLkNzoWN3OTY0fnJs9MDczOTH+PQeau3fvziyomuqsANACLME9PwCuum/2II752fjSpFCFWek87PPx70+LAzh9+nS73Z6fn3/44Yfvueee9R75iy8qR1+aZcCNvwGUDWBISxH1ZC2DQ/G277v08Udv+NjffmspMBOpwpisM8jQZnNg9pLV6jlh6elffN8P3nRwD6QNW49dAkrxDJBeumgFHUffJufZOt7tdpeWlo4cOXLNNdcYYw4ePBi/r32zO2jZHzzGAvGb/ccwnl7V41utVqPR2ICjiyoC148slv/dh37/0SMtX0hWp7GRrFzqqKp444zNrCuKYrAf/UoIW+s7pu6u2TP5/vtfZ+AHWTtXa+p7H8FLWP8lKrEq1WYyEalisCOQLl9ZmRkQVQqhtMxgs392dv/u2Xte+zIBTp4uDx858swzR7/03KHTpxeOP3fyxMn5hVa7KL2HqJKBU9GqiIWX9z+z7ndH6o3x8dHx0ZGx5sj42Ojk+GizMXLV7trE+Oiu6YmJhnUA1MfCdkCALhQAwwvIwDCUG9QbJBQ03uQzAAWcAhpEgoKJjVIc+7ziwSGiSserTGbc+Y8J9D179mzssF+UUg7AGBNnAa/4CO0GygtFgwxDlBAUFshl6Wd+7K7Hjs1/9fFjoQQLKWDIAltbw2KzznzZtMH/0jvfcPetBzgAXA8KIwURM1mQIBpRkB1ciVF5V/XeaJ/15cjIyA033BD/WRUR0rKBYhVix6dXSSpdng6BvjrW2FW74RpHJnz220d//ff+9MRCSSY3tTpb1dZzmW0CUA1EaLUXjTH1er3wJa/zWipsbLfId43+4k+/d6omQKlSX8tLxMoHYsRpL0nKNx1VVSgRGTaqJgTQIJ99BiCC6AIrSpk1QICQqeqaVHeP0ey1B/Ta/fcKerdY5OJ9VqvjO0XpfRHv1AEwc5ZlMbee5QYAxw+UasyFLNcxEsCAKDgOj471YwCgIAJbUO+WFFXOxPDy1+JBVFLOABswJBr8LJ/IK95Vx1OuShS3Wi3nHBHFrOaGuTi6Pc+GiE6dOvWXf/mXVWh5prUW5RZoEAAGWRP3yk0mOjKB8MGf/cHdo+KtdgFGWUO8tsfyVUOciZpalml33U6KhiRISYbBpgxirdVQGtLFbF+te+JHX7H3R9/wPcxWGCHehZlseV+HQTbG4+Ysb+I4t7p67/GLD3/4ww888MCxYz3voXgGP7+Svu2EfsE6W7z6yxlFo2OXQktnFCgBDwjUxxvV5VxgL4QpJXZYlkAZfQcDUAb/wf/09V/7nQ+fPNFhtV66xhXd7hLZkej7LOCgZE1GMN77ATqufqlEVtKolDKSKSh4751KAa7n/K9+7P5rd8cO6DpTXMbK9AzTbUxuFkVBqah8s/ECZzL1SyS2hO9KZqicnVp5jhUxoj4SiK0xBmDAgRnGxNwFKH58LcOBHTgDu3jKMKFZtzPj9T3T43O7Jg/smTmwZ2bf7NSuiebESN7MTQZkgAWotw1rQBbkQA6wAMezxzCYYAAb/6Pn9zaXPy+2enzva66BcqsaHykCwAah5Ue+gH7/mfhZjmYkMbswuK56jVysUg7g0Ucfve6668qyjBto8VgM8EqMiAGIJq186Bd+ai5nzhonPXVCJ7fGsrJ6hu92WmzQKQpeeed9JYoQRI0PpME3c6O+rcYWpob5I9977WUfeN87fLcLCEGfv7yfC1o2GozJh7ivjT4hLsvy1ltv/eY3vzk7O3u2F82GYQJEY8CqZAAnagshkFUyQhQAr9AQxb105DkI4BQG2iXF337z6Hs++L/9l7/8r6fmF1yWiwgQ2zS4/4K0Rrwby0KriQVy2XOtkiH13HXt6ER47h++876br9pHEkAiClGsNA3ubDbvgCVegNLzCT1VJRVAJ0YHTcO5qIka3el04luO8dPZn8f4nVivcoala5ZlmzKy8eK+u4zeIzHNVF3ZBlfOCTqKmhEF6G++fvif/O6fdhtTvliwRUlQ730tr5PhVqewWV56b9d5hJRgXb3dbtcch2LJEnubl8hunvH/5tc+ME5StwLiEFTFW0MDfHfjfkg8CcqyzPO8v+85XsCstTHptmmJguBhXrCNEzG9f/UyhgqOd6q29OoQwCT80JHTf/ifP/3JLz3gTLP0hXUZ2HZLT0TMCKXPXRx9tQ5aAVNOfKtV5iPB5rlV3ymCmPffdc273n5HXQUaFAS2sWZ8pbR7te1JokJUBnzf+387qKHlbazEphBUDHEG30bOpKRiUH78t35uujG0N0CV4PQH11Uipfqi2uR8+OGH9+zZ02g0NnfI10UclQOItcmR2MseD+uAKJXhAZRMgLzq+rlf/8l78taxTnDCDq6eNydaReh0OrXMFkVnA9kr76VoL9YcG5eVVKd6s4awNy/++fvfNc6oO473jGyMdbmubDwSPS0BMPN3v/vdaD8ffxS3Cqth9vH8WO86V4QZgCgCEATihUQMxAcGAA2QEmWLQgGgBApnofbL3zj8i//zn7zvQ3/4yS8+yRjtciCbC7hTlMaYWD97Ts+cVZnIeaEEGmMUPIu0PFuSd91x44+/9Y46ELotEAgxFFpr4psI3idPxC2BmUPfBdWQZpbHhlfH0VcS1p8YiFtN/ae9iDz55JOnTp2ampo6evTopg9rvFi3PStqtdri4uLx48fHx8eroxNj2HM/QRuGEIDAbNB93Y37fvk99/7WH3/mtDftIpShnB6f6CzNQ5RJi253vdc650zO8L67sOg1b3aL7r68/Df/7Xsv3ztOvdsxirlaCIxb8VLRnzuLDsW95S8XYgK9rndr7apV9uuAWESiOlqOt20BKpaNKpWaK4Nil4QPsjT/53/14Ef+7oFvH1u0Wg+twjtkIyO6RJ3Qca5npB5nxeV5Xvour1ycc058WRiblcZxzaiXvFx6++tv+kc//Fobb+SzGshqz6UmVkqsSc1jqodokANXYgNQb94NqSoBRDraqF/cAeNAqkg8bmNiuWA8lkpHHY8iPjEx0Ww2FxcXq9KyzeWil3IArVar2WxWjomx52WlBxfEriwypwVMKaaWm7tedTWLfvB//0/gvNmcOHV6seFsWXasYWXGOgueSdFuL9VcVq9ZhZ+oyz//wHuv3TcqoRQwG1OWwTgTN7oHdLTEMyBqdNX39eSTTy4uLjabzSrqqVzL17XIAShA3BvSICGwxt1C0zWWFRkLVI+eWPzSt5/5xBcf/OI3Huu6OtqFkClrwY5kI6UUS2XH8ljeWD6Pg/fesmHL0PUWqsAjR9kSKTrqxp2+47U3/qMfvcPAd7xxlkC25y8XSmPMGeWGAxgwsi5x/vR3MOyamhrimLwKuaKUE1Hs2IgJcefcRz7ykZe+9KXj4+OnTp26/PLLt24lwyDls7Ozqnr8+PHJyclVG0ENQM4CIQN7ZgV819/56muauyb+h9/6vdMdcsttV2BTCmMVC+yzXp80mNpSkKxcOjhd+7Wf/YnrLxkL3Y7JM1VShXMmCuU5nIf6iPWn+kIPyGazefLkyZg0jw9Y19rWgg/eEMcdGjZ5IAqAADUN3z7y3Oe+deRz3zr8wOPPnF5oG0LubKfI2YUad0yn0ym5ndWz3IwVXVETg3FrbS3LRSS6nK97QcyNxmjRWcr86fe86Y733fMKo96TyS2pQhVgkIZo89L1IV/ZL7SfJOVbRM/Pr9crH0jD7tkZaFivMcPFRRV4xY4NAEtLS3meHzly5KqrrvrKV75y//33b/UahkHKARDRgw8++IUvfOGuu+4aXNljcDpgzINdN1gr3VKzmgW6r7pq77/9l7/0z37zf31m3luyvvTELLzuzYSyLFEbNeD9o/iNn/uRQ7M1+DLkNUBUlTiWqJYgQDyMHbxd0a/jqtput5vNZv+7W4tF+LpwsU1NYYxVoqMnO1/55qPffPiJ//qtY4uLi91uFyAYzp0lokJ0At8NWmtLHRnVMjVl0W23O8Zm4nNniKgsC7UGyiLi8mzA9sA5ydTPtzk39E/f+/YfeOU1UChZASw8EcfmKkCNsSKwbq35x41cVBJrQESInt9MVtXx8dH12l5eRFT3xFWl2Te+8Y0DBw7UarVut7vpo2AGMCRSDuDRRx+94YYblpaWzqjsOcugdczEfoG8+j8AufGnbpgd/fe/+jO/9Yd//jcPPO6NU0XGHIRj1y+xEpGCPUiJ87LLzAopvWdmMllQEGzIR3jp2Guu3v2rH3j3TM5A3Ik1fRbN6FntnKXAVetX3BA/I20SQjjbXmd1L5rl2woCjPbldLQEUdVz3GtQJulCDx878cAjT//9w09964lnDx87vVSA2BoE4Hkf5pg8YaBLdQBOA0LcgTDExsXfq4CCjKsmZmgQ0kDGCcgrAyAVghhCV9jBGxJVVlvrdsp6Dg4t7xoH7NKv/YMfuvXag957Y62UPrOo/NyBXm3yGvzQhIQDK3vqEktgtZIKWDYXwxCURWHZliI1yehKd7oYOB/9jGKP/oTh2ZFKf+pmXd7L8WUrt5OqJ65/AeekCg3PiBHjb6/ap5966qndu3cXRbFr167Dhw9ff/31a1zYZjE8Un733XcvLi7GevvoMdZfoVj9CVf6mwU7AWAmlw++/23/8aN/9X/95d8u6OixhU7u2Flmy+KDlAWgGbMxVJhR4eB9t9bMDVOn1bEwhjQvjr/7nXe/4003NgFWQRBbq5cqbg1xSaxF0RWmPcQ98fW2EpDAEgAPBAQBsydbglgdK5igwKkuHj783Fce/M4jh59+4BvPdH1ZBPGgABXAGrVW/SYNdSHjyjII1FrrDIuoBg+RJpuF0pOr1TMrrYUJZzoBhWteP5v/i1/4wCWj0FBa67qF5JmFL8/zzE1R+RYR9zyZOfSGoGFiYmLw46uP5Bk6jr5Ipb91GcsF2jGVUV0Azvn6lXxXLxj/Gat443f6Lwz9l4f+hhURiduY8XfF1p74MBHpdDqjo6PPPvvsZZddtpGjthkMj5QDaDabRVFE59v4Z67+DIN1HEBX4YCG8dDw3nte87pbv/c3/+DPvv7Y0YIAaOE1CBvXcJY1+LIsrTnWaSPLJ8tuvlQUEIw29bJLZ375B9952SVTdaC9cLLZHIdxCvAKNofoK0qNX8TTqD9k6GcjLWGhhLGBLWDZgiAWJWn58NP+0SPPfPmbj3/9sWeOnlhsx+pvog7XREmMsdYaqAlBQ+G7BXhzTpVSyGbOEMQXRbtwbJy1quRVRut5q9spNHO10cXWwkQdb7n9pT91/ytHGFaKeNkxGSsAs95y/zOJ5gSaylc2G1WNaUFQbAqWvbtnB0TO/fnD6p/RdTlOlI0DY8+IbLd7wpgAACAASURBVKKOV+O0Kjk+myr6oeV5Nf0vFb9ut9tZlvXfEEe5r/p9YvNKfKmyLOfn50dHRyvR34otqw0wVFKO5UnBUbWjr3elj4PLPGoq3DNDcyI4uKv2b//Jj3zzkWd/5y8+/8SRp5ZOLrraiHOuaLfgu41avmDHbK3WbYU6/FRNXrJn7P433fK6V9zQEBAJEJqjo1AWhffBrbwX199cUFlZnfPk2GCZioOiZLBX++hTp774rcN//fXHHzry7MLCAhGYiEhFCeyEXSAeoVMCiLIGpyCAYSzDiWyOR40GKUWIlaDGGLKuBBchQFjhgV7T0xUHdv38u+689apZA0A9oPABzhEQglpzXkpO1Nv2VNUBA5sSG4BgREPl/q+hnJmZGnyI+4u1osFyrECrVJWZ+22ZKxPmfiVdKSqvgrn4eCKKXcexaiC+eMxbxoa76kd44WiIv/7rv77xxhvHxsa893meLyws7Nq1a1OO2GYxbFKO5du048ePx/k41e3V4C5QJgGxqBMAjKLdbdTyl1069Qe/cNfhoyf+v68+8um/e+jbz5xCVvP5yCkfxjtlCCcO7mnccOW+O155861XX17TnrWuhMCGQlCFGqLMGV15Bz+ex865av7DIBu59dcderi/f+zpv/rqI5/9ysNHnlnkrOFB3aJEPk4aKJSkniBEglCAwGWDiJgghoJIQFAUQrTeevCVaNRdKEvVwMYKoVNCDZu8RqEUwxmU2yf+m3tvf899r6gxSt8GZUwIAdbVFSCFMRR8YewGOywUCkIIYYOXxsRAiEiCKCkTQcVYGhsdGRCVV40R8dzOsuwrX/lKtISLn9aov1XtNoCo49Xn5Yx0xxlU01TiB62y4K9WG68B8T64MhPHsrF4DL2jX/TXvva12267bdOO1GYzhFIOgIgefvjhL3/5y2984xsrR+DBVu66LFUMZaitOyhgnBLm9s5+/97Zt9/5qnaB73735MLCaRVp5M3de2byBtnluM4TyMCA40CDQOqYNICik+fKd2HxBM3zvL+H8xwr7LsDXTv/4EP/z2NPPtHqdAAQKWtHg2cjrj0v7MTkYurMzBpYuyply9aJiJlAAmJW5RjGblIqYmlh3jkn4FLVWutyE0LQshtsjZaOv/5ll/3jd/34JRM1lCUcOZuLMgiGbVEGVc0zC4jZ0CzTflIx4hZBZIDnnfGbI/VaFlvizq3n1eD1Kn0xOzs7Pz8/MTFROXR2Op0sy2h5ZnFMksTPS/w4xHvxlZZUdcwbY2KgHX9XNHAG8Mgjj+zduzdeM/orUi6ui/1wSjmARx99dHp6+i/+4i/uvPPOWq02+NINQAANsAaAFt12ltdFBWCCkqqDECN3mNjXhDYB8ZRHi0wE9DwwpQPWUkaizjiOJwQAsFnx91Y9BejbgdlE/vVPven3/uSjn/jyQ8+VGWWjhUqQhVpuxIxbFZZCipYIPBm1jeAaxCdJ2auycpxDrjAgA92cBEuj0TAu7xSl994QSDpUtHJDVx6cfe/b3/aKK6aMluo9uWh9VzJxEISgmTPLdtIcZEVr/zWymVYHiT4ESoahrKqGdGZyOg67X0nKq9RHPPk/85nPHDx4cP/+/fGn8WPbb8URw7JOp/Pss89ecsklscChf4BD9cTo6lUUxbFjx2ZnZ2u1Wgy9vffxWVmWee87nc7U1NQzzzxz6NChLT0yW83FdNlZL3/2Z3926NAhIjp06FDUykHVSxJARqlXumeBnpMruOckDkQbqQAEIItzoCRUxX1go2ACvC+sjWaYXBZqM8JqB7q/sGkl+o0S18PikuSPnpAP/5e//cRnvuIDWWuDlEoEsEYDExKjAvWsQqamqvGdK5ESq2oQOd99xmVEhIwNAkPM2q2jePmNV933lje8/vIcbAK4KKVuo6+/CpHRIAFsDeLRZgrKSuvehFWA4CHWc7BiHvjOUz/5G/93iUH+uokNICAlceICtXIeuf66S/6XD9ytUtAK5Yj9BYiqevLkyS996UtvfvObB/+WRx55JBp1VGnu+Nmpihp7ixFpt9tlWS4tLV3A2pLtYcjP4wceeICIHnvssbvuuqt/Zkd/v/vmNr4PoNpMrxx2+nV51TXE+824+P5RUqutX3zZNcaAs6dPdj7xhW984vPffOjJZx0BZARUaACQZRkRiqLIjAshRP9CMhZkegEOBY3TyftemoigHC8JABRMxEEVQA1dUQh6BikMNSoMXTLWKhlf7B2rvf7l195z+y0v2TNi4Dd2g9j/3lc9DgBDUHA3Q/7VR5/+mQ99tBMWzSbtASQiZRlqmQ3EXLTLrPm+2w79wx+8Y9VPV0yVxJN5AyOlEhjiBEvk+uuv/8hHPrJnz56Pf/zj99xzT5S/Mxpwtk3KK4/5qoezKIpYYLOWBVQ+iNUl4Ywy2HPiwdbVoR6+s2/cvPvN3/O2277n+Hzrz7/81Ff+/msPPfoYs7UuLwovIsZkS56McdYSQTR4ki4AJgTkceRufFlVVQEUGbUBaG/INQO9sYuFWgJUg4EKWNkUMEGxx/hbb77qTa+6/qYr9oxlCpAIOsHW1llmWd3HnBGRrZGN2TQmVmW5AUdz5wrVibGmrJYNq87nwaPjEoMZcikHcO+9937kIx+58sor4wC5Kk0Rw9vBZS2bSCx7OsPOOC5ggPnXGcQyLOdcLJ+v6iwHXI1EoAwiVol9lTLuMD5Bv/SWObzl0hMd/dYTz33hm4e//tjRJ4+eem5+qU5tWk4zxX4lIlKQUktVRZelk5gtE9GSrxFRrzpQlyN3AUKXXU7GlUWnxv6KPdO33nTldYcue/W1+ySAqbQmAAplJl8zG/kTVJexKt/aP3t6JXqjd5OObw3GkA9BiQFhhJmpycFduFUPTnW7uU0LHTqGX8oB3Hvvvegr+wshVBsgUcfX1QG8MWKZSuUw1e12nXNxI36Nr0BE8/Pzx48f379/fxSs+GqDN0szgoiAGFnj+SZ+B4UyMJ7rKw7NvvqqvYAgyOkTx//qqD323ece/c7hJ5469t35062udAMKRc13mFmZmIxAReCDqJLhOJhcIIE0ENQS2PCBS+b2TI1ce+memy6fu3zf7ORozoAAJpyGqytcAIKCAENC1AXWehwi8e8V/4JE9NGPfvQtb3nLYB3vt01MUfkWYYi8qrE2+A6zmZ2eGBxmV7enWZbFAGV71jl87Agpj8Sb8f7OsaqkdBv6tWIwW0XlMdmy3huC06dPT05OxgVHQ+Q1PEnip6PsjUxDtPR21UhaZhBUSQzXp2fumekCl4AuB1wgnO7osROnTs0vHFukdreztLS0sNQqul4IxhhjHPnF3JlGrT7WrE1OjM9MTc5MjTXrGJEu2AVw/CUEJSmN+q4Zs4ABrA8gguEC7JFvYBp0vEcpy/LUqVOvfvWr46V6jVpQ9ZGt/9cmBhFCycxB1QGQcvf0xIDyFSx/LiqH6nR93TA7SMqxrOZFUbRarYmJiRihM3NsN9jqXx3zAI899tiePXuazeYGEjsHDhzw3scQJl5+qrFwKz1FgjIzCI4klrgDCg1BatHTAgQflAwpSA0DjJ7MBQOarGFybhxz43EaM8EsF/HFIpPeNFvVoCIkgaDgNpQ95wYwKJerGJ1yFpBlva12D1sCgJqMbLZ+H3MAzjnvPTNPTEzELtk1PlE1JVi2ChExea1bqjGGVafGM0ihJlvpzxs9UuLtMi3Ps01sgB13O0NErVarVqtVc68BbLWOA73ZtZ1OZ3Jy8ujRoxuOB621nU7nqaeeihO7V72fIGvAFCcBQQUSoIrYmawKDVBvORgtWbwJpYKVDLHtuQ5KgHiIZ3EsjoRN7z+YoDZotDEhMmwMuQwuh3EgQ0AAPFyguqAOEElhpUPBw3vvxaMWUAdZhABZt1lXCKEoipjNH9whck5SVL5FGCYREYIiTE40bc9yc+BTjIlWKktLS6nef8PsrKg8Mjk5ieVJx3meRznY6iRdvCFoNBrnP117YWFhamoq5vpjQc4ATQ8xcCYDQAExNsTxygATEQggFSFy3Gt56lXQ9yY1Lx+Wcx0dAoSWUygaTWup91ijseJ++dXIBDIhViWCrFYfcA6GdUMnYswyVZfhdd1apah8izDGdIrC1Zu+46emppZPh0FU9rN5nne73e1Y5TCy46LyCuob0xOTdPHmrigKDNwWO+P7Z8cRMdI/+0dVDeJ5cvDgwWazeerUqYceeih+p7+Q4wwsQMvtRSpigAxwIqaX6GCAiW0vg778nd6CAbP8H537P66+ZgLT8z8CGRCDLMhGP/H4q3vRft9LmLN0XJfH2uJcHfbdbjdeuvI8j43X6CuEWBEVIYDFIiP4gEwYLCkq32RaZTluUQQPHr9k2piAQPladj7j53F8fHx71jl87FwpBxBFvNoOBRDbeWPDQr/nQ3xA/Gd8fCUxsa7Re9/vyxN/Wpn10DKbuPKnnnpqZmam1WrFf8ascafTwQsvNnEMW+UeF8eBvwiJa47X0XigKjvpyjIJy37F0b6u/+mp8uFFgjGuDN4aCiHsmpha1UW4OlejN/WWr2942YkJljOoRCHWQkWxqPxmY7hXNaRU1W9VQuOMyvT43HgZ2FJHnjimpPokxDVE07j+XxpzDro8NsUYsw17vBumv5qw/7ADOHnyZLPZrNfrLxJ76MQ5YWb1sVhKd++aBK2yo101eaXylfMkXQafJ87Jrlooq421ytsay4N+4ndinBjt1qocX+UmsRXeWGdzxq+IQbcsAyCWB8Ri9hizvzh1PB60uG8Rv1OWZbzj6XQ6nU6n0WgsLi6mjcoXOarExsB7Y3VmfBwcZ2kPovqbpj/u+ZCk/ExixB2lnIiOHz/+sY99jJmjSlY5majjZVlWhsjxO9HjbXs6SKsFx8/A0tLSs88+Wy2yusOI1ZYAojkcXpSbfpULR7SKjEWinU6n2pFuNpuzs7MXepmJVRAlIRgVobBrYgwQWu1063e/2o4lDilJylckz/Msyz7/+c9fddVVR44cqZw2qzOv2p3LsizLslgYe6FWS0QnT54cGxvrdDrxShNFMMa5ccwplvM/L0Ipj94ycZGxDzauPxY2nD2fOvHiJKYWa9YAsmdqHKSI6ZYVqEpCvfcv2o2ci4KUK1+F+++//0IvYa0cOHAAy/4EJ0+e/NznPnfffffFkDY6FlVJyRfhnWzckyjL8sSJE6Ojo9bauCdxodeVWB9ELNBMxTXy8REGSqhZebTt80mVpaWlbVrikJKi8mEjJog+97nPXXXVVU8//TSWh4XHInQs99dd6GWeSYzmQghZli0sLLw4rzeJtUBE4sPISN0ZAAINq/4lvfetVitF5edDisqHk/6biRinV7exMf6NEXq/ueAZpWBbZE0Tf1E166ssy0984hO33nrr9PR0NTB3SyBmBZQDlwbOoGCB2uUepsQmYaRTCGk+sn9qxsqS5xFrVq/et9ZOTk6ePHlyO5Y4pKSofPiJcXqctlEl0Imo2+1WyfR+He8vRcdyVcx6EZG4D9y/tVBN86q2GY4dO3b55Zd//vOf39y6+8FUv+dFuGdwsRMDBR/KXZNjiGNH1raZWavV5ubmtnZxQ02KyncQ/W7plT302X0Z/dWK0X1wA7+rKqGJr99ut7Msq2ziy7K8sDuZKXuzRaiqYaYy7N81Do429unGZztIUflOJNrtxq3Fc2alT5069elPfxrLPUcboyqxj91JsQPLOeecu4A6vuz/tX03ATsKJSMiBJmbbACGFGBO9z7bQJLyxPO+AhVf/epXL7300mPHjp3ny8bY3FqbZVnll/JigF44zzexWRCRBEDD/ukmyNKqnfvLpL/FeZISLIlzcNttt13oJWw5KSrfCpSYIEbC/tkxD1iiVbs9cS7TtMR6SVF5YkhYlzQnHd86VHWkVt812hAFINBVkuWVUV3ifEhSntgpJPXeBmKFa2OkZg1A0DVodOx72Ia1DTdJyhPDwKqRnYKB6CPPEGSWiAbNnExsDBNKtTK7aw/QzQAiG9iZ1YpYolnQ9qxwWEmncmKHkvbZtghmnpporl1bKp/bLV3V0JOkPLETSfKxRcSjesnsJJS0N/k1sR0kKU/sLAiEOCEhReVbAovIwV2joF6/gmKV6pR0Td0UkpQndgr9IWLKzG4RShCRfRO5oneEabVL5vYMaRl6kpQndiJJyrcOY8ye8ZrQspSvQaaTlJ8/ScoTw8BasiX9j9nOMU87jVpe3z1W1+WpQARKOrMNpEOcGAai6ePaHx9NvlIwuBVkWVarO+kb8Ja2JbaBJOWJIWHVjkEmqwwTSBm5CnHQ1C6+2SiZS3fVwZwpCmtBJSmD1jqpObFhkpQnhoEzLNcHEFVjjQ9OrBdmTI6ORGFhAGuQ6BSzbwrphE4MCeuyZErbnlvH3K4JEKBKAHQVb8Sk45tFkvLEMLD2qDySpHyL0BAu2T0JZQhZAMSqg0LzlFrZLJKUJ4aEdUXlsYIl6cimIyIHpsdBUIKB157CJOPDLSdJeWIYWO99urUpKt8SmDE3PSoafSiDrGZIGUfLbtPihpok5YlhYB1yQKQKY1JIviXkLts10VCNG55escrOZzXOO3GeJClPDAPrDe6SjG8RzrmGc71Ul1R/khX/NN1uN82d2BSSlCeGAREpimJVUVAFEJigAdZaTYXlGyX6kfX6OZdh5pccmCxLzmipSwjcdOJB3UJ6kyXOuNyqap7naRrcppCkPDEMLC4uYj3bmESwnNLlG0dEonZXA69FJISwa3IsTgRSgBVQAtitLDPGmGazuV2rHmaSlCeGgbIsDx8+vKqU9//cOpPO/g0T4+tKx+M/VXXfzCQpQAxI/Fn/s9L+xNaRTubEMPAbv/EbJ0+eXEvWtadBgHMuFcltmJhRicF4LOqPzE2PQAElE7c7ic7YmOh3y0nKvokkKU8MA7/7u7/72te+dl1dQjWXrWYNkliRqOPV1/ELVT0wM64KAVNPylnB0BdkyfsVPFUibhZJyhPDwypR+QvrKZwzmqLyjVIF1zFdXm2B7p8dIwKiWbkCqgKAzn2cvfepfGWzSFKeGBI+9alPrT0qJ4JzjlNEeN5UOs7MtVptplkHoTdCSFXBAEPPkUuJ26RJyjeLJOWJIeH1r3/92nWBVE0yRzwP+jc8Y7rcOTcyMuIsQeIVMtYpQgHIOZqAqp3SbVz1MJPO5sSQMHjaLylK8iQoORbI0bjrdkx9O1c4TGgIwshtveM7jqyzvqPZtbsdyMKQASwYhsCwAEzWL9xR+o0xydRsE0lSnhgS1lsOYQzxYAPWxMoYY8SHEEJUZBERH2anJld6fP9fJ6bXi6JQ1Vqtti3rHX6SlCd2Fj351liMmDgvVAMRiRKRgRRzu6fX/tyUJd9ckpQndgq0bOxECqjW8/zCrueixosYQ4ZZVXuxObB/ZmLVJ1YKnud5muW0iaRDmdhJVAkVkjx3lIoRN4oqEREgRCQgVbUIc9Ojg59VVaN772Pf/7YsdkeQDmViZ9GLzRW1LE/dhhuGmaGqPjCzcVnhfWZp99TYmp64vP+Z7G03EXuhF5BIXBiy3JKmqHyDKIFAIFElsAHQrNcmm4P2MPtLjJxzCwsLSco3kRSVJ3YeBEBSJdz50MuPE3svImJtNjJSZx50aewvRVfVZ599ttPpbNd6h58k5YmdAXlCBgMWKBDgpnOSwRNuEitDzFwsnaKGZVeXU0HM1ZdMDtaTqhsoGuTu3bt3aWlpWxa7I0hSnhgS1jtFyBmbcuXngyoxg4i8hMyaydFBtuNxn1NERMQY472v1+uHDh3attUOPUnKE8PDWtQ8yjcBeZ4nk9vzQUQsA0AQtoz9s4OKyq3tbcvFcn5mTnXlm0uS8sTORGv1fNktJLFuiEgJkMAgYevL4vL9s4OfUhRFVPBIuiXaXJKUJ3YYywpSz2uKNFVygxARwZCUqgqTa9m5ZPfk4LuiWIZYjZFLUfnmkqQ8sUOoHG0FqqSo11O358bpVRZKAESYR3I303RYeRu5KIqYY+l2uwBCCKk/aHNJRzOxo5CedzZrrVazlM7/DaJKymQZRCQws7umDQ9KV2VZzxyxVqupapZl27bUHUI6lRNDwnqdr3PnUrZ2wwgBABOIqAw6MzkBXSVb1f8HinUsW7rCnUaS8sSQEH2dVvwp2KKEckGAIgCzdSo1afkGMVDS0FUnghyda/bUC3KMQd2bVUYl/pnStufmkqQ8MSTEyuVVH1b5I1prTUqwbJQqxGYGKaanp9dyKKOIp3h8K0incmJIWFpaarfbK/20pzyqUcoZyJ1xJgWG54EyETHA8Jfs2wv0DcI+i7IssSziRJRC8k0nSXliSOh2u08//fTgx6hSPOcVyow8S9MnNo4QBCTijYZ9u2cIzxd6nk3sDOp0OnEW6PatcseQpDwxJCwsLBw4cGCln0aRoehQrlANUIzUUj3iBmEiZlZV8aFRs9NjOQNYOWEV5TuWrzBz8kTcdJKUJ4aEq6++utFoDHqEAgSFgsBEIIw2Bz4+MQgBWIlBumtyvO5WcSar9jyZeXFxcb3lRolVSVKe2Cmoak/K4+Zn8GOjIxd6URcxUYwt8d7ZXQwAAh2kJzES73a7eZ4XRbENK9xRJClPDA+DY734U+2Fj4o07v28UVVjaGpyvDqmAx9psDzSc3R0ldFxifWSpDwxVPSreRxxEL8mCHNeKmz8jkrXuZlaqqPYIEGYONQ1nAbdvH8S8BDIytue/VUrqXxlK0hSnthBPK8hqgQ0kg3LRmFmEaiqhe6anlzLU2JSJVYlJjadJOWJYeP5SLwvEhQoAFOFhEIAxkdSgmWDMKkXAeAY+/fMAgCt4o+VZVkIwTk3oCk3sWGSlCd2EFR1ezIxMDFSv9AruqhhAI2cZyfXWp5vjOl0OskTcStIxzQxPAzY9iQYKJ4fG0QMhPGR5M+3QTR4EBPR9NhIvqwig1PgMbUSS8u3fH07jyTliaFiJZmQ+D8VQJQAMEMmU135RlEEsCGig3t2QaFx82HggD3nXNyIrobDJTaRJOWJ4WH1cI+ej8wZmBxPdeUbxBILWFUPXjIHFVolIu9VE/UGq6YKli0gSXlieIhDIwc/hgGRXi6gUU/bnhuEiKI6756equ551vKUbVjbziRJeWJ4aLfbIYRKL/qV3QCwAByBHQNgwO2dyBkiZMHGoLSMQo2yywb6bicABKgl7jDfMhPU2K5YA9GB19EqKk9sBUnKE8NDWZZHjx5V1dgjLiKxWGJA9VujXuNefPn8vX8KHlcl6rIjnZmZAWAZKjKgHLHS8XRst4gk5YnhYXFxcXZ21hhjrQ0hxO21EMKAWQfT401Ans/kkgIIKzegJyLxcO0ez8cnpqrvDNATZg4hFEUxwFM+cT4kKU8MD5deemm9Xsfy6Mi1DB6bGR9hCQqOBq2sq0hSIhKP6qG5KVFED3g2ZsCc5nhBfe6551K35xaRTtnEUBGT4/3yHW21V3r8zHgDKkSkZAAlCCADRigkIkTkvT+0b9r3LG0Eg4YIwRhTFMXk5GSKyreIJOWJoSImyrvdLpblAwMD812T46yixHFis2rcNU1SvgpEpOJfsmecGYAwKTBITlQ1yzLn3Nzc3HatcWeRpDwxbBBRrVaLpSxZlg22xp6ZGDWM3ranKoOYSJKSr0Y0rb3ywGzv30SQQc4qRJSsV7aUJOWJoYKZ4yZnlVfJskHd+aPNOpFiubKiF78PHKGQACAi1toDe3d7BVSgAqIBpYhxYzlN9dw60imbGCqq0G+NpW+XzBhfjpDpMnkvIyqdnKUIKSxfhUC166Zzk9katSVYiAWFAWoSo/KlpaXtW+IOI0l5Yqjw3ld6sZaelInxccMUBT+G57H6ZYuXedGTO3vpwb0AAMsmbi6YwZfNw4cPpzlwW0eS8sRQcfr06SoSN8asOtl919RElgnFMjpWgqkaixKDKDtXHdoPAGJBABRqB18A5+bmTp8+vR1r25GkUzYxVBRF8Z3vfMd7XxTFWuLrGmG0bpitKlRFmQFQ6khcDS4717zkgFGIkMKD9QUewmcRQqjVaocOHdrGNe4skpQnhor5+fmDBw9aa621zLyqhZMBdu8aMWRJVFEyZVguTk8MYKqZXbJ3igBe87ZCatnfUpKUJ4aK66+/vtlsYrnAHKt1e5Lovn2TpCAySgIwgRWpbG4VrrhkpsGACggKAwgINLBxPyXKt5Qk5YlhI8bUlRPLag+nA3tnYiU5MURfMBE0sRI3XXc5KxBKIPRa96kcYF1z7NixVFe+pSQpTwwh3vtK0FdREJWp6XERIYrJmDQbYU1cfeVlDEABrpJRXlfOS01OTqZKxC0lSXli2AghMHNlb7uKLjNeOjPRsVkZgkNNilOU11MqoIL8gpic2YYQgs2dQVYujDQnXnX5HoYiywFnAICBOpleQrzyzKrs4621e/bsuXDvY/hJUp4YNsqyjFIS3fiYedA2JmHfvr11o9baoigajUa32x3cILqjsFlDfCkizhCLbwfJGs3rDs6s9Ph4a+OcE5HY3E9ERVGsWhWaOE+SlCeGDe/9wsJC1JH4nUGBuZAl7J9pxH6iGEVystNaJsCpFEGFCRy6nmudQLfffNmAHYVomhjLh6KCl2WZEuVbTZLyxLBRFMXo6CgRVX6qg6ScSUK4dt80lscjGGNSMWJF6eEsEymrOARjayGE77t+3+BnWWurvAqAPM/TId1qkpQnho1du3Y557z3cQzF4Ft7BYj0xst3xRAyc3kqf+6nd3PDpEzMrN3ulZfO7Z6qD3hKv2W8qsZ4PFaIJraOJOWJ4aQ/MBwwuSYAzHzzob1FURhjVFUCePXx8TuFjMkHFfFKCGK4u3jXq16GlUtViqKIG86VoJdlmcZNbANJyhNDSIwEVTXWojjnBj5cLp+dGJ+cyCwXRcGrNYjuKCy0VBaCkO2IOTBZf+1Nl8vKewlZlsXMeGVQh13gCAAAEvVJREFUfvz48TQEbhtIUp4YQp555pn5+XlmzrJs9SytqDF6xRVXVJt1yRmxghFAbIwhY5XsFZfsmZs0SoMqfKy18QDGXYfp6elWq7Vd6925JClPDCHz8/Of/exnsVxjPuCRBlAQOLvv2omWcGHzGi0VA+YN7zC6ahyxFhJKsei+9fZbjKxSVhiz5PH/vfdZlh04cGA71rqzSVKeGEIOHz58yy23AIjh4YBKOBUhtoC+/OZrJqyoD7D1lGCpKH2XydvMhVDOTWSvuPkANAw+OnGfOYQQQkgV+ttGkvLEEHL33XdPTU3FYc1YFvRzwhQCAOa5ifw1N74kMzjdLg0Pzq3vIGxuJRQL7Q4o/PBbXpkjHs0Vc1ZxUByWJ/P1V/cntpQk5Ynh5NixY3meY2BIDgCEIAowFe233X5LjgJkmZP69CDOSMNYc3Q8N2/43usgJWBpZSmP6ayyLGOCpdPpJEOb7SFJeWI4abfbn/zkJ9cQFZIhBZidvfkls5fMjNSyLITUZd4jeM1drWydvuf1r5xtZlDEscwD8N4751T1qaeeSrUr20aS8sRw8vjjj7/sZS+LIeGgXDmsIRERkHEsb73jVaF1KvmVVxBxWfgJU7777luhoh4AiO1Kj48JlmgWPzU1tbCwsH1r3dkkKU8MJ294wxtiObn3fkBgHgCIZ9JuYKi86dU37Z8dMyklsAwhKOE9b3/T7lwgJXInggGD36J5GRE557Is279//zYudkeTpDwxtBRF8cgjjwxOsAQAIiAiA6iO5XjtK1+eKlgqgnR3z+25+/aXo5yHMQEwjAFSjr7+rLThuZ0kKU8MLSdOnJibm6t0OX5RuYLERtAc8LYRwE58HGj2A2+8ZYrmuzQ1Qq2MlzpscltHN5QeMEObQ89RFD4oZxS8IyisVwZJju7PvuOOEQbcOGBJAIkTmZ+f1RmPZ9WKFR1un3766bThuZ0kKU8MLYcOHarX6/GWX1WjiFfNnFmWhRBUfAwde40twGQTd7/htZnpdLwR76jb7UrB9dxlRouh9WaZ10bDEdonTd5olXAo61YE2T2vvumWa2ebBmVrESTMcTAzAyCiWO5ZRd/e+2iW8LGPfSxlybeZJOWJYYaIRISZVTVWOhdFEcPJ6GdLKgQoADIAqfgGcP/tr6jLieAaZEfHahmICkhZtCwPbcNLV4iNbY7Uy7JUIjBxKHaP5e+9/3WTBGjX1XOAvaL0AHrTPGK5Z7y/YWZrLRFlWXbzzTc//PDDF/Yd7TSSlCeGmTjUpiiKOMtGRCpXltjAgp6NX1RzJhULXDJde8dtLy/K0DWm022r+IyNBdTmF/j9bBnjzi8VerKjkGKkXu8iK4v2r7zvvrnJBoUOVAETBEywFipS2R/GoUuVc5mIPPHEE6Ojo/fdd9+Ffk87iyTliSEnRt8Asiw7w4+l8tS2BACqBGaEwkj5Y3fdNjNm1apHYC+29Ll1LR3aIkVTLGSOYDLOm61OO9POz777ra+6clcICpOBa2XgqBYEEGm8HMZIPL5CFHQiGh0dPXXq1AV8LzuTJOWJISfP8263q6qdTidGkVHZe90rxKrKBIr7eMRghspEg37oTd8r7edqzaa1VrulF1Ua2sqWrDEq7XnHoSRn1d97y0veefsNvixhTMeTB9gyAPECDWBi5k6ng+VEecybE9GDDz4oIpdddtkFfj87jyTlieHHe3/06NFarcbMVTd/L0WgTES96jpiBYMsjAPJO29/6Y1z4512GYipZtRk+fBG5a3Cc63pjKWl795+w9wv/+S9VkrrnAEMNG50qvcMDzLeC4BolVVNxM7z3Hs/Nzd3/PjxC/xmdiRJyhPDz+Li4vj4ePw69OyzemZPSr00i4SSCKVAFAB7Lcdc8TM//P2GbAHpkgaQK4e2GJGZFkLWhbntpss++IEfMipgFyTAd50FifiytJaNtQqQtXEbGcvTO6M1uaqOjIxce+21F/rd7ESSlCeGn3379jHzyZMnz7Avj41BAABm4wjIGByLoTmH6quunH7Ha660oICc1QsgZNk6AYmaAEOc+aLTdC+6xEu1DdDf7qSqQrYIpMQKT+q1lMxkiqKNiQlu33nt6L/6uR/MGBCGgrWEzQFmZucc0CtFNMulQej7ot1ui8hqA5sSW0WS8sSOoNPpxH25GJWv2r1iIaIukPnpd715f8NbLZUd2GjR1rJj1FujBCFWttlC50UXrZ/RsFqNg8jKYrQeOsVSqSMunzFOu6EFjEzj5J23XvPP3v8jFAQAGD4ImxWLL2W5iCWG5yGEVqs1eCJ2YktJUp7YEUxNTanq/Py8tTaq+Sq6Iz4YVyjGFP/jP37XGHdExINqubWGmWBJtOz4omuzHGbQBPoLRVRzIuof69M13OlSBmq6otU6UQSnYg06H3j7a/7pT9zZgOQsEoIqjOUyrGJmG1uuvPef+tSn5ufnm83mdr25xJkkKU/sFLrdbtyji1FkNPBb8dHEDLDAkL/uwNQHfuSuPCySzYuArqAr8IC1liGqqi++DvVKx7GcZun5Fjinahq1xlJnCVlWy+pX7x79/X/53ne88ZYcQmUXqmACoyi8Mys6IMZXi+Urqnrdddc9/vjj2/TeEufiRXcKJhJbx0MPPfTtb3/7nnvuif8simKliWUKQDwRq/dkuYT9d//nJ//jZ76hbMAuqKiEnAOLeGUfyJoXXbq8n+qiRQElF6bW8KGeFa23vvbKn//RN41oF9aVReFcBrASSlFHINIB0Z73vrrFib1X2/RmEuciWZcldhBvfvObb7rppizLnHMhhAF7dAJo0WFSsrkEtSw333jFE0eOfeepp0oRzhrBC2kgFSKwc6uMY7ig9Gda6rkTY33RvW42+9c/fd8P3X5DJqW3uYKssSAqfIBhIjCEQFjhhiM2eQJot9vW2rTbecFJUXliZ9Fqtay1sYRuwOaniDBx/+cjAKda4df/wx9/4RuPdewoKDcojXhRqMkgL96S89iESUTMLJ0TM6OT777/9nfcfo2TBZQ5snyBkAWfGUtAWQZ2JmiZkYHyYIV48MEHZ2Zmdu3atV1vJbEiScoTO46yLKuWlqrv/Ey0DOQEcKJgWizRsGBdOs0jv/Kbf/SFbz/bVWegBiEIiclYX9TFG1HHmfkn3nTLfXfctGcEgOsCCtTgETpqauLFmAyAkgiEYaErBeUAcPr0ae/9sWPHrrnmmm17I4mVSFKe2HF0Oh1rbWwRimXRVZnH6hQnF3jyQ//Hp/7i//1iluW5y5a6BUxeR6dbSjDO5s1Op8MIzXrWXjoNW3OGAWgovYDIgEmUzAoz56Ilr6ivSv2gzMxUttlZgINogDJZsFFVCoWaTMEBakAqPs58yHXRq+3CCGWOaO+YufcV17/jza+eHln34YpHqf/rWNMpIp1Op+q9SlxYkpQndiKqGiujq/roynVrMAXggBDwZ5/+u9/500+fDDX3/7d3Zr1RZFcc/597b1V1t3cDM4hVQxIMsTKCJMokClIWKULKSKM85HNFylPe8gmyPCCZCAmRREhRFMFoGGUhoBBpzLBkbBpsTFXde8/Jw+kuN8Y2bmMYA/enVqtd7tq61f86dVZCB+UiRkcykvJRxr5dZCt1LMVmrRGOHizMwRLBGGMMjBUmyPrzi7WIyRij15heGY410bQkBgCWQGBwNGBjTBWRG4EwC+AKIqJYOQnL+aQwF1K/f2j85z849cNvznTaLUa/AGrIz4qI9PMJIehlT1Nikot895CkPPGWEkJQ3XTOqadFNWszrwtQRhRGIJGN+9v1e7/49W8/f1Qv12jnEgIb66LYGCNZQyQGpLazwaoxC4DIbjRTjYxA+rMyCNZmKuuhrnRunXHWWitMIYTAcRyPOR+pxMYQnFQZIZDzyJ3xH5059bPvnzxxcDrPHcRAIoRhhxbfNdc8PbZmgkdil5CkPPGWUlWV2r9VVbXb7caNMJiRvQ7ihbIIIIoz8Ym3v/rdH3/z5089TPQhdybGaIyDy8rKMygz2k5xVbgbq3b97XOAcUTEoGaCnd5DZFlmyXComYOzxpEhokV0Cn7SMbUlU0UeaRcfvD/zo++c+snsNBkHQJgNBMweGTlseI16Hs3B6J9Jx3cbScoTby8xxoWFhX379qnfwFrrvddROButUjNyA0jwZZm1R8sIsrg13/3lub9+/MnfnwS0O+NlWRrh3LJBiKbdeJb1DsAAMXreIF87xNrZnKwR6Um5JRiLAhIEHIVBkUxkAMSAoxAZE2Pt75488tMPTnzrqwdH2i4wsriMrBNhAiMj3Vmv++Own5L3Xsd1NkuSju9CkpQn3mpu3Lhx8+bNs2fPbjHsWUa0LMA1yERyUWBDsDYGU3zyn7u/v/jxxav/XuGs1WqhWnIUykps5pzLo4i6JvB0IHEN1lEMEqVfcM+RJBC4lgyAM5RZ4hgsZHpqYt++fT/+xoHTX//aycOTBESBJVjx4Kq2ozkA8QBFchHIAAoVhhyE1Bzq4uJip9PJ8zzp+O4kSXnireb8+fMzMzNFUezfv199wVVVaU/zjWABEUJgEu+cBRlmGOMhFuRuf7H8pyv/+MNfrl2/s7QSzKgNQSAgshmDYowGlGVWnebPoqFFIaNzRyXWVthZWXEThsN0x8wc2vvtE0dOfeXAsUPvjLUdwmOQAzkQAQLmmp1kthDPYtkYB4BrMEfXqoDOkJ+PRg7m5uZmZ2fHxsb27Nkz5AYSr4gk5Ym3ndu3b09MTOR5rj6WrZjnwVcuszoP1MPqGhaQ6I2xIBOAz/735Oqn/7z4r4XP5j+/e38hknF5oUkp1lpNR3mWnqfeqpu7nhhpv3f4wHuHD3/vQDhy5Mihg+9mBOpX0wuzN8YCFuDVDBwGOMBZARGvlvlIQKiQDZeN6L3vdrvdbvfGjRsffvjhUOsmXiVJyhMJ1HXdDKNAP+Y5mMrS5G9sgyrifnfl1p0v/nuve+fByv3u8oNHj5eelDHGEAI4ZNZ12u3RdifP82NTcbzTfmfP1JF39xzYOzk1PmIMQxi07YDlWvRcBpMvm/z65hyb/zJzjDH1V9n9JClPJIB+oogqmr5QvcMLRvnYo5cYA4GhXj4fyAiAvsHMgHbwQkm9zG8HGIAAZmYOzu2MmA6qtsYzMeAQH7x6NQu3WjyV+FJJX1Ii0UNz/phZ5Wwwk1prZDbJN98Iln5VDnsQAIYwwKCn3fHCEIEIVLJ7OX8WpAr/cn+og/ci2gfYWqv57C9zt4mdJH1VicQqKmTqVWi32957FTWV9U0yTzaCBTywRpNMrj1xm+Ry6rcgJK5BBPWHEwDDAhHYHZosoDcfjSNFDXM9L32teZPoT2FOvC6k0ROJxCqaQO29r6pKu+A2Zf14ZsraVjDwTryT4MAOcD2RBkEMwZreQ3VcIEKZwAmsgDS13BDsS7C4dIiS3mfoec3Nzc3Pz1tr8zxPOv7akaQ8kXiKoii89w8fPrxw4cLKykpd1yEElfhtRD4FjsUKLEQAJvZOgpWgYx2ah0IgptUHek2+eKMq/23Q3FXoixhjjPHatWu3bt2amZm5cuVKcqq8pqSvLZFYh7m5uaNHj05PT09NTWmaeRMkHIq6by4RQKIv1MURgb6HRVYnPES2RKsjH3pLVz3uO4B6jTT4ef369ampKRG5f//+6dOnd2oXiVdPkvJEYkPKshSRqqpGR0ettdsxzDWDhQxEQL2pcYM29prNUa/vuQgMyGKnf6I6A897b4xZWlqqqmphYWF2dnZHd5L4EkhSnkhsRrfb1eqhEIJOlF+3He6acOKzrE7XHMaDMdiysdnOmi1sFIzV6GXT91x7eDWplmka5xtG8pUnEpsxOTnZ6XRCCNbapaWlXq2mCPqO5l5LcSJjTF3X6MdI10B9Nt+dbrksS/1zMCzZZL43b250udnp4HMIoUmNbzqM6zE455KOv2EkKU8kns/Y2JgGP2OM3nsiKsvSWqupipoNAkCd6WqzNwuHQpMCW60WgKqqdKFa1qrCg2KtCe8q6LrT5rkxui9durS4uKir6wFvIzs+sftJUp5IbInx8fF2uw1A6yRVcwFoX9wYY1mWaiCrBDcGdcMWd9SU6mi4VS8JegcAwFqrHp6mZElreWKM6j95/Pgx+mb4vXv3jh07dvXq1SEm3iVeT9K3m0gMjap2COHBgwcHDx7UaUSqlRpX1Letm/Sy+WiLwWJ6fW76pQwGXRtLvK5r55y+p9vtdjod9a2rf//lnH1iN5K+7ERim8zPz4+NjTnniqJQo7jxbIQQth1XHJxn1BRhagGqqrzGQldWVvI8d86ps76ua70z2Lt3786eZuK1IEl5IvGiVFXVzAVdXl4eHx9vtVpropTPpp2su6kmPqkXhsFsGXWweO/PnTt35swZlezULCWhJF95IvGiFEXRarWKolheXi6KQi1oACKi5rkMjBB6LqrmjS9lYWHBe99kEN69e/f48eOXL1/W8votNlhPvPH8H6HaC4EoCRzAAAAAAElFTkSuQmCC" height="512" preserveAspectRatio="xMidYMid meet"/></g></g></g></svg>
\ No newline at end of file
diff --git a/src/frontend/src/icons/Postgres/index.tsx b/src/frontend/src/icons/Postgres/index.tsx
new file mode 100644
index 00000000000..0bd7cdaef12
--- /dev/null
+++ b/src/frontend/src/icons/Postgres/index.tsx
@@ -0,0 +1,9 @@
+import React, { forwardRef } from "react";
+import SvgPostgres from "./Postgres";
+
+export const PostgresIcon = forwardRef<
+  SVGSVGElement,
+  React.PropsWithChildren<{}>
+>((props, ref) => {
+  return <SvgPostgres ref={ref} {...props} />;
+});
diff --git a/src/frontend/src/icons/Python/Python.jsx b/src/frontend/src/icons/Python/Python.jsx
new file mode 100644
index 00000000000..253e7747eaa
--- /dev/null
+++ b/src/frontend/src/icons/Python/Python.jsx
@@ -0,0 +1,158 @@
+export const SvgPython = (props) => (
+  <svg
+    xmlns="http://www.w3.org/2000/svg"
+    width={1000}
+    height={1000}
+    viewBox="0 0 750 750"
+    {...props}
+  >
+    <defs>
+      <clipPath id="a">
+        <path d="M45 42h493v494H45Zm0 0" />
+      </clipPath>
+      <clipPath id="b">
+        <path d="M375.207 42.145c-168.414 0-157.902 73.035-157.902 73.035l.207 75.664h160.703v22.699H153.64S45.906 201.313 45.906 371.262c0 169.906 94.055 163.894 94.055 163.894h56.137v-78.86s-3.028-94.054 92.562-94.054h159.375s89.555 1.453 89.555-86.547V130.188s13.601-88.043-162.383-88.043Zm-88.621 50.87c15.984 0 28.918 12.938 28.918 28.922 0 15.981-12.934 28.918-28.918 28.918-.95 0-1.895-.042-2.836-.136a28.448 28.448 0 0 1-5.563-1.098c-.906-.277-1.8-.594-2.675-.957-.875-.36-1.73-.766-2.567-1.21a29.522 29.522 0 0 1-2.437-1.458 29.114 29.114 0 0 1-6.29-5.703 28.46 28.46 0 0 1-1.69-2.281 27.818 27.818 0 0 1-1.458-2.434 29.596 29.596 0 0 1-1.215-2.566 28.942 28.942 0 0 1-2.055-8.238c-.09-.946-.136-1.891-.132-2.837 0-15.984 12.934-28.921 28.918-28.921Zm0 0" />
+      </clipPath>
+      <clipPath id="d">
+        <path d="M217 209h493v494H217Zm0 0" />
+      </clipPath>
+      <clipPath id="e">
+        <path d="M379.977 702.059c168.414 0 157.902-73.036 157.902-73.036l-.207-75.664h-160.7V530.66h224.551s107.758 12.23 107.758-157.7c0-169.925-94.054-163.894-94.054-163.894H559.09v78.84s3.023 94.051-92.563 94.051H307.152s-89.558-1.45-89.558 86.55v145.509s-13.598 88.043 162.383 88.043Zm88.62-50.875a28.573 28.573 0 0 1-5.644-.547 29.24 29.24 0 0 1-2.754-.688 28.56 28.56 0 0 1-5.242-2.168 29.024 29.024 0 0 1-4.715-3.148 29.42 29.42 0 0 1-2.105-1.906 29.448 29.448 0 0 1-1.907-2.102 29.882 29.882 0 0 1-1.687-2.281 28.516 28.516 0 0 1-2.672-5.004 27.907 27.907 0 0 1-.953-2.676 27.808 27.808 0 0 1-.688-2.754 28.29 28.29 0 0 1-.414-2.808 28.598 28.598 0 0 1-.136-2.836c0-15.961 12.937-28.899 28.918-28.899 15.984 0 28.922 12.914 28.922 28.899 0 16.004-12.938 28.918-28.922 28.918Zm0 0" />
+      </clipPath>
+      <linearGradient
+        id="c"
+        x1={16.152}
+        x2={40.334}
+        y1={15.849}
+        y2={40.112}
+        gradientTransform="matrix(20.73047 0 0 20.73046 -285.782 -289.543)"
+        gradientUnits="userSpaceOnUse"
+      >
+        <stop offset={0} stopColor="#387EB8" />
+        <stop offset={0.125} stopColor="#387EB8" />
+        <stop offset={0.141} stopColor="#387EB7" />
+        <stop offset={0.156} stopColor="#387DB7" />
+        <stop offset={0.172} stopColor="#387DB6" />
+        <stop offset={0.188} stopColor="#387CB5" />
+        <stop offset={0.203} stopColor="#387CB4" />
+        <stop offset={0.219} stopColor="#387BB3" />
+        <stop offset={0.234} stopColor="#387BB2" />
+        <stop offset={0.25} stopColor="#387AB1" />
+        <stop offset={0.266} stopColor="#387AB1" />
+        <stop offset={0.281} stopColor="#3879B0" />
+        <stop offset={0.297} stopColor="#3879AF" />
+        <stop offset={0.313} stopColor="#3878AE" />
+        <stop offset={0.328} stopColor="#3778AD" />
+        <stop offset={0.344} stopColor="#3777AC" />
+        <stop offset={0.359} stopColor="#3777AB" />
+        <stop offset={0.375} stopColor="#3776AA" />
+        <stop offset={0.391} stopColor="#3776AA" />
+        <stop offset={0.406} stopColor="#3775A9" />
+        <stop offset={0.422} stopColor="#3775A8" />
+        <stop offset={0.438} stopColor="#3774A7" />
+        <stop offset={0.453} stopColor="#3774A6" />
+        <stop offset={0.469} stopColor="#3773A5" />
+        <stop offset={0.484} stopColor="#3773A4" />
+        <stop offset={0.498} stopColor="#3772A4" />
+        <stop offset={0.5} stopColor="#3772A3" />
+        <stop offset={0.502} stopColor="#3772A3" />
+        <stop offset={0.516} stopColor="#3771A2" />
+        <stop offset={0.531} stopColor="#3771A2" />
+        <stop offset={0.547} stopColor="#3771A1" />
+        <stop offset={0.563} stopColor="#3770A0" />
+        <stop offset={0.578} stopColor="#37709F" />
+        <stop offset={0.594} stopColor="#376F9E" />
+        <stop offset={0.609} stopColor="#376F9E" />
+        <stop offset={0.625} stopColor="#376E9D" />
+        <stop offset={0.641} stopColor="#376E9C" />
+        <stop offset={0.656} stopColor="#366D9B" />
+        <stop offset={0.672} stopColor="#366D9A" />
+        <stop offset={0.688} stopColor="#366C99" />
+        <stop offset={0.703} stopColor="#366C98" />
+        <stop offset={0.719} stopColor="#366B97" />
+        <stop offset={0.734} stopColor="#366B97" />
+        <stop offset={0.75} stopColor="#366A96" />
+        <stop offset={0.766} stopColor="#366A95" />
+        <stop offset={0.781} stopColor="#366994" />
+        <stop offset={0.813} stopColor="#366994" />
+        <stop offset={0.875} stopColor="#366994" />
+        <stop offset={1} stopColor="#366994" />
+      </linearGradient>
+      <linearGradient
+        id="f"
+        x1={23.548}
+        x2={48.282}
+        y1={23.842}
+        y2={47.538}
+        gradientTransform="matrix(20.73047 0 0 20.73046 -285.782 -289.543)"
+        gradientUnits="userSpaceOnUse"
+      >
+        <stop offset={0} stopColor="#FFE052" />
+        <stop offset={0.125} stopColor="#FFE052" />
+        <stop offset={0.188} stopColor="#FFE052" />
+        <stop offset={0.219} stopColor="#FFE052" />
+        <stop offset={0.234} stopColor="#FFDF51" />
+        <stop offset={0.25} stopColor="#FFDF51" />
+        <stop offset={0.266} stopColor="#FFDE50" />
+        <stop offset={0.281} stopColor="#FFDD4F" />
+        <stop offset={0.297} stopColor="#FFDD4E" />
+        <stop offset={0.313} stopColor="#FFDC4E" />
+        <stop offset={0.328} stopColor="#FFDB4D" />
+        <stop offset={0.344} stopColor="#FFDB4C" />
+        <stop offset={0.359} stopColor="#FFDA4B" />
+        <stop offset={0.375} stopColor="#FFD94B" />
+        <stop offset={0.391} stopColor="#FFD94A" />
+        <stop offset={0.406} stopColor="#FFD849" />
+        <stop offset={0.422} stopColor="#FFD748" />
+        <stop offset={0.438} stopColor="#FFD748" />
+        <stop offset={0.453} stopColor="#FFD647" />
+        <stop offset={0.469} stopColor="#FFD546" />
+        <stop offset={0.484} stopColor="#FFD545" />
+        <stop offset={0.486} stopColor="#FFD445" />
+        <stop offset={0.5} stopColor="#FFD444" />
+        <stop offset={0.514} stopColor="#FFD444" />
+        <stop offset={0.516} stopColor="#FFD343" />
+        <stop offset={0.531} stopColor="#FFD343" />
+        <stop offset={0.547} stopColor="#FFD242" />
+        <stop offset={0.563} stopColor="#FFD242" />
+        <stop offset={0.578} stopColor="#FFD141" />
+        <stop offset={0.594} stopColor="#FFD040" />
+        <stop offset={0.609} stopColor="#FFD03F" />
+        <stop offset={0.625} stopColor="#FFCF3F" />
+        <stop offset={0.641} stopColor="#FFCE3E" />
+        <stop offset={0.656} stopColor="#FFCE3D" />
+        <stop offset={0.672} stopColor="#FFCD3C" />
+        <stop offset={0.688} stopColor="#FFCC3C" />
+        <stop offset={0.703} stopColor="#FFCC3B" />
+        <stop offset={0.719} stopColor="#FFCB3A" />
+        <stop offset={0.734} stopColor="#FFCA39" />
+        <stop offset={0.75} stopColor="#FFCA39" />
+        <stop offset={0.766} stopColor="#FFC938" />
+        <stop offset={0.781} stopColor="#FFC837" />
+        <stop offset={0.797} stopColor="#FFC836" />
+        <stop offset={0.813} stopColor="#FFC736" />
+        <stop offset={0.828} stopColor="#FFC635" />
+        <stop offset={0.844} stopColor="#FFC634" />
+        <stop offset={0.859} stopColor="#FFC533" />
+        <stop offset={0.875} stopColor="#FFC433" />
+        <stop offset={0.891} stopColor="#FFC432" />
+        <stop offset={0.906} stopColor="#FFC331" />
+        <stop offset={0.938} stopColor="#FFC331" />
+        <stop offset={1} stopColor="#FFC331" />
+      </linearGradient>
+    </defs>
+    <path fill="#fff" d="M-75-75h900v900H-75z" />
+    <path fill="#fff" d="M-75-75h900v900H-75z" />
+    <g clipPath="url(#a)">
+      <g clipPath="url(#b)">
+        <path fill="url(#c)" d="M45.906 42.145v499.023h505.285V42.145Zm0 0" />
+      </g>
+    </g>
+    <g clipPath="url(#d)">
+      <g clipPath="url(#e)">
+        <path fill="url(#f)" d="M203.996 203.035V702.06h505.285V203.035Zm0 0" />
+      </g>
+    </g>
+  </svg>
+);
+export default SvgPython;
diff --git a/src/frontend/src/icons/Python/Python.svg b/src/frontend/src/icons/Python/Python.svg
new file mode 100644
index 00000000000..8e00c5e76b8
--- /dev/null
+++ b/src/frontend/src/icons/Python/Python.svg
@@ -0,0 +1,41 @@
+  <svg
+    xmlns="http://www.w3.org/2000/svg"
+    width={800}
+    height={800}
+    fill="none"
+    viewBox="0 0 64 64"
+    {...props}
+  >
+    <path
+      fill="url(#a)"
+      d="M31.885 16c-8.124 0-7.617 3.523-7.617 3.523l.01 3.65h7.752v1.095H21.197S16 23.678 16 31.876c0 8.196 4.537 7.906 4.537 7.906h2.708v-3.804s-.146-4.537 4.465-4.537h7.688s4.32.07 4.32-4.175v-7.019S40.374 16 31.885 16zm-4.275 2.454a1.394 1.394 0 1 1 0 2.79 1.393 1.393 0 0 1-1.395-1.395c0-.771.624-1.395 1.395-1.395z"
+    />
+    <path
+      fill="url(#b)"
+      d="M32.115 47.833c8.124 0 7.617-3.523 7.617-3.523l-.01-3.65H31.97v-1.095h10.832S48 40.155 48 31.958c0-8.197-4.537-7.906-4.537-7.906h-2.708v3.803s.146 4.537-4.465 4.537h-7.688s-4.32-.07-4.32 4.175v7.019s-.656 4.247 7.833 4.247zm4.275-2.454a1.393 1.393 0 0 1-1.395-1.395 1.394 1.394 0 1 1 1.395 1.395z"
+    />
+    <defs>
+      <linearGradient
+        id="a"
+        x1={19.075}
+        x2={34.898}
+        y1={18.782}
+        y2={34.658}
+        gradientUnits="userSpaceOnUse"
+      >
+        <stop stopColor="#387EB8" />
+        <stop offset={1} stopColor="#366994" />
+      </linearGradient>
+      <linearGradient
+        id="b"
+        x1={28.809}
+        x2={45.803}
+        y1={28.882}
+        y2={45.163}
+        gradientUnits="userSpaceOnUse"
+      >
+        <stop stopColor="#FFE052" />
+        <stop offset={1} stopColor="#FFC331" />
+      </linearGradient>
+    </defs>
+  </svg>
\ No newline at end of file
diff --git a/src/frontend/src/icons/Python/index.tsx b/src/frontend/src/icons/Python/index.tsx
new file mode 100644
index 00000000000..2a6fc1fc0c7
--- /dev/null
+++ b/src/frontend/src/icons/Python/index.tsx
@@ -0,0 +1,9 @@
+import React, { forwardRef } from "react";
+import SvgPython from "./Python";
+
+export const PythonIcon = forwardRef<
+  SVGSVGElement,
+  React.PropsWithChildren<{}>
+>((props, ref) => {
+  return <SvgPython ref={ref} {...props} />;
+});
diff --git a/src/frontend/src/icons/QianFanChat/QianFanChat.jsx b/src/frontend/src/icons/QianFanChat/QianFanChat.jsx
new file mode 100644
index 00000000000..6724a2b0dcb
--- /dev/null
+++ b/src/frontend/src/icons/QianFanChat/QianFanChat.jsx
@@ -0,0 +1,23 @@
+export const SvgQianFanChat = (props) => (
+  <svg
+    xmlns="http://www.w3.org/2000/svg"
+    width={1000}
+    height={1000}
+    viewBox="0 0 750 750"
+    {...props}
+  >
+    <path
+      fill="#00d263"
+      d="M602.984 155.953c.024-.02.059-.043.086-.07L379.008 26.43l-37.793 21.71a86.37 86.37 0 0 0-5.809 3.028L95.051 189.543l106.808 61.68a26.254 26.254 0 0 0 26.223.015l53.691-30.91 69.95-40.273a53.06 53.06 0 0 1 52.933 0l55.02 31.675 67.738 38.997a26.257 26.257 0 0 0 26.184.011l107.093-61.566Zm0 0"
+    />
+    <path
+      fill="#ff502e"
+      d="M586.313 303.273a26.254 26.254 0 0 0-13.145 22.747V467.78c0 18.887-10.11 36.336-26.5 45.778l-125.336 72.16a26.24 26.24 0 0 0-13.156 22.75v123.054l242.152-139.41c.34-.191.649-.406.98-.605l41.848-24.098V241.754Zm0 0"
+    />
+    <path
+      fill="#0062ff"
+      d="m331.3 585.71-121.59-70c-16.398-9.44-26.5-26.89-26.5-45.776V328.09a26.253 26.253 0 0 0-13.151-22.746L63.266 243.848l-.047-.203v.175l.004 276.547v48.934l37.5 21.629a84.188 84.188 0 0 0 5.25 3.304l238.476 137.297v-123.07a26.25 26.25 0 0 0-13.148-22.75"
+    />
+  </svg>
+);
+export default SvgQianFanChat;
diff --git a/src/frontend/src/icons/QianFanChat/QianFanChat.svg b/src/frontend/src/icons/QianFanChat/QianFanChat.svg
new file mode 100644
index 00000000000..a25c4f6a3cb
--- /dev/null
+++ b/src/frontend/src/icons/QianFanChat/QianFanChat.svg
@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="1000" zoomAndPan="magnify" viewBox="0 0 750 749.999995" height="1000" preserveAspectRatio="xMidYMid meet" version="1.0"><path fill="#00d263" d="M 602.984375 155.953125 C 603.007812 155.933594 603.042969 155.910156 603.070312 155.882812 L 379.007812 26.429688 L 341.214844 48.140625 C 339.253906 49.078125 337.308594 50.074219 335.40625 51.167969 L 95.050781 189.542969 L 201.859375 251.222656 C 209.964844 255.902344 219.964844 255.914062 228.082031 251.238281 L 281.773438 220.328125 L 351.722656 180.054688 C 368.105469 170.625 388.273438 170.625 404.65625 180.054688 L 459.675781 211.730469 L 527.414062 250.726562 C 535.515625 255.394531 545.484375 255.394531 553.597656 250.738281 L 660.691406 189.171875 Z M 602.984375 155.953125 " fill-opacity="1" fill-rule="nonzero"/><path fill="#ff502e" d="M 586.3125 303.273438 C 578.179688 307.960938 573.167969 316.632812 573.167969 326.019531 L 573.167969 467.78125 C 573.167969 486.667969 563.058594 504.117188 546.667969 513.558594 L 421.332031 585.71875 C 413.191406 590.402344 408.175781 599.074219 408.175781 608.46875 L 408.175781 731.523438 L 650.328125 592.113281 C 650.667969 591.921875 650.976562 591.707031 651.308594 591.507812 L 693.15625 567.410156 L 693.15625 241.753906 Z M 586.3125 303.273438 " fill-opacity="1" fill-rule="nonzero"/><path fill="#0062ff" d="M 331.300781 585.710938 L 209.710938 515.710938 C 193.3125 506.269531 183.210938 488.820312 183.210938 469.933594 L 183.210938 328.089844 C 183.210938 318.703125 178.195312 310.03125 170.058594 305.34375 L 63.265625 243.847656 L 63.21875 243.644531 L 63.21875 243.820312 L 63.222656 520.367188 L 63.222656 569.300781 L 100.722656 590.929688 C 102.425781 592.085938 104.175781 593.199219 105.972656 594.234375 L 344.449219 731.53125 L 344.449219 608.460938 C 344.449219 599.070312 339.4375 590.398438 331.300781 585.710938 " fill-opacity="1" fill-rule="nonzero"/></svg>
\ No newline at end of file
diff --git a/src/frontend/src/icons/QianFanChat/index.tsx b/src/frontend/src/icons/QianFanChat/index.tsx
new file mode 100644
index 00000000000..3b45e0ce476
--- /dev/null
+++ b/src/frontend/src/icons/QianFanChat/index.tsx
@@ -0,0 +1,9 @@
+import React, { forwardRef } from "react";
+import SvgQianFanChat from "./QianFanChat";
+
+export const QianFanChatIcon = forwardRef<
+  SVGSVGElement,
+  React.PropsWithChildren<{}>
+>((props, ref) => {
+  return <SvgQianFanChat ref={ref} {...props} />;
+});
diff --git a/src/frontend/src/icons/Redis/Redis.jsx b/src/frontend/src/icons/Redis/Redis.jsx
new file mode 100644
index 00000000000..1ad7558e2c9
--- /dev/null
+++ b/src/frontend/src/icons/Redis/Redis.jsx
@@ -0,0 +1,67 @@
+export const SvgRedis = (props) => (
+  <svg
+    xmlns="http://www.w3.org/2000/svg"
+    xmlnsXlink="http://www.w3.org/1999/xlink"
+    width="35"
+    height="35"
+    version="1"
+    viewBox="0 0 750 750"
+  >
+    <defs>
+      <filter id="959fca5e72" width="100%" height="100%" x="0%" y="0%">
+        <feColorMatrix
+          colorInterpolationFilters="sRGB"
+          values="0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0 0 0 1 0"
+        ></feColorMatrix>
+      </filter>
+      <filter id="3490f79f60" width="100%" height="100%" x="0%" y="0%">
+        <feColorMatrix
+          colorInterpolationFilters="sRGB"
+          values="0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0.2126 0.7152 0.0722 0 0"
+        ></feColorMatrix>
+      </filter>
+      <clipPath id="091fd1df4e">
+        <path d="M0 70.945h750v608.25H0zm0 0"></path>
+      </clipPath>
+      <image
+        width="920"
+        height="512"
+        x="0"
+        y="0"
+        preserveAspectRatio="xMidYMid meet"
+        xlinkHref="data:image/png;base64,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"
+      ></image>
+      <mask id="9d4d970ba1">
+        <g filter="url(#959fca5e72)">
+          <g
+            filter="url(#3490f79f60)"
+            transform="matrix(1.34674 0 0 1.34766 -234.085 26.23)"
+          >
+            <image
+              width="920"
+              height="512"
+              xlinkHref="data:image/png;base64,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"
+            ></image>
+          </g>
+        </g>
+      </mask>
+      <image
+        width="920"
+        height="512"
+        x="0"
+        y="0"
+        preserveAspectRatio="xMidYMid meet"
+        xlinkHref="data:image/png;base64,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"
+      ></image>
+    </defs>
+    <g clipPath="url(#091fd1df4e)" mask="url(#9d4d970ba1)">
+      <image
+        width="920"
+        height="512"
+        transform="matrix(1.34674 0 0 1.34766 -234.085 26.23)"
+        xlinkHref="data:image/png;base64,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"
+      ></image>
+    </g>
+  </svg>
+);
+export default SvgRedis;
diff --git a/src/frontend/src/icons/Redis/Redis.svg b/src/frontend/src/icons/Redis/Redis.svg
new file mode 100644
index 00000000000..6075a2b7f8c
--- /dev/null
+++ b/src/frontend/src/icons/Redis/Redis.svg
@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="1000" zoomAndPan="magnify" viewBox="0 0 750 749.999995" height="1000" preserveAspectRatio="xMidYMid meet" version="1.0"><defs><filter x="0%" y="0%" width="100%" height="100%" id="959fca5e72"><feColorMatrix values="0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0 0 0 1 0" color-interpolation-filters="sRGB"/></filter><filter x="0%" y="0%" width="100%" height="100%" id="3490f79f60"><feColorMatrix values="0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0.2126 0.7152 0.0722 0 0" color-interpolation-filters="sRGB"/></filter><clipPath id="091fd1df4e"><path d="M 0 70.945312 L 750 70.945312 L 750 679.195312 L 0 679.195312 Z M 0 70.945312 " clip-rule="nonzero"/></clipPath><image x="0" y="0" width="920" xlink:href="data:image/png;base64,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" id="087f89a145" height="512" preserveAspectRatio="xMidYMid meet"/><mask id="9d4d970ba1"><g filter="url(#959fca5e72)"><g filter="url(#3490f79f60)" transform="matrix(1.346739, 0, 0, 1.347656, -234.085385, 26.230507)"><image x="0" y="0" width="920" xlink:href="data:image/png;base64,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" height="512" preserveAspectRatio="xMidYMid meet"/></g></g></mask><image x="0" y="0" width="920" xlink:href="data:image/png;base64,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" id="bb08ccb7f7" height="512" preserveAspectRatio="xMidYMid meet"/></defs><g clip-path="url(#091fd1df4e)"><g mask="url(#9d4d970ba1)"><g transform="matrix(1.346739, 0, 0, 1.347656, -234.085385, 26.230507)"><image x="0" y="0" width="920" xlink:href="data:image/png;base64,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" height="512" preserveAspectRatio="xMidYMid meet"/></g></g></g></svg>
\ No newline at end of file
diff --git a/src/frontend/src/icons/Redis/index.tsx b/src/frontend/src/icons/Redis/index.tsx
new file mode 100644
index 00000000000..80f94bd8568
--- /dev/null
+++ b/src/frontend/src/icons/Redis/index.tsx
@@ -0,0 +1,8 @@
+import React, { forwardRef } from "react";
+import { SvgRedis } from "./Redis";
+
+export const RedisIcon = forwardRef<SVGSVGElement, React.PropsWithChildren<{}>>(
+  (props, ref) => {
+    return <SvgRedis ref={ref} {...props} />;
+  },
+);
diff --git a/src/frontend/src/icons/Searx/index.tsx b/src/frontend/src/icons/Searx/index.tsx
index f782520721a..d1e07c3b4c2 100644
--- a/src/frontend/src/icons/Searx/index.tsx
+++ b/src/frontend/src/icons/Searx/index.tsx
@@ -4,5 +4,5 @@ import SvgSearxLogo from "./SearxLogo";
 export const SearxIcon = forwardRef<SVGSVGElement, React.PropsWithChildren<{}>>(
   (props, ref) => {
     return <SvgSearxLogo ref={ref} {...props} />;
-  }
+  },
 );
diff --git a/src/frontend/src/icons/Share/index.tsx b/src/frontend/src/icons/Share/index.tsx
index 00beb1c4b1b..2a68b6c190d 100644
--- a/src/frontend/src/icons/Share/index.tsx
+++ b/src/frontend/src/icons/Share/index.tsx
@@ -4,5 +4,5 @@ import SvgShare from "./Share";
 export const ShareIcon = forwardRef<SVGSVGElement, React.PropsWithChildren<{}>>(
   (props, ref) => {
     return <SvgShare ref={ref} {...props} />;
-  }
+  },
 );
diff --git a/src/frontend/src/icons/Slack/index.tsx b/src/frontend/src/icons/Slack/index.tsx
index eab13486fea..d37a8ce1a62 100644
--- a/src/frontend/src/icons/Slack/index.tsx
+++ b/src/frontend/src/icons/Slack/index.tsx
@@ -4,5 +4,5 @@ import SvgSlackIcon from "./SlackIcon";
 export const SlackIcon = forwardRef<SVGSVGElement, React.PropsWithChildren<{}>>(
   (props, ref) => {
     return <SvgSlackIcon ref={ref} {...props} />;
-  }
+  },
 );
diff --git a/src/frontend/src/icons/Streamlit/SvgStreamlit.jsx b/src/frontend/src/icons/Streamlit/SvgStreamlit.jsx
new file mode 100644
index 00000000000..0db3372c6d4
--- /dev/null
+++ b/src/frontend/src/icons/Streamlit/SvgStreamlit.jsx
@@ -0,0 +1,25 @@
+export default function SvgStreamlit(props) {
+  return (
+    <svg
+      width="301"
+      height="165"
+      viewBox="0 0 301 165"
+      fill="none"
+      xmlns="http://www.w3.org/2000/svg"
+      {...props}
+    >
+      <path
+        d="M150.731 101.547L98.1387 73.7471L6.84674 25.4969C6.7634 25.4136 6.59674 25.4136 6.51341 25.4136C3.18007 23.8303 -0.236608 27.1636 1.0134 30.497L47.5302 149.139L47.5385 149.164C47.5885 149.281 47.6302 149.397 47.6802 149.514C49.5885 153.939 53.7552 156.672 58.2886 157.747C58.6719 157.831 58.9461 157.906 59.4064 157.998C59.8645 158.1 60.5052 158.239 61.0552 158.281C61.1469 158.289 61.2302 158.289 61.3219 158.297H61.3886C61.4552 158.306 61.5219 158.306 61.5886 158.314H61.6802C61.7386 158.322 61.8052 158.322 61.8636 158.322H61.9719C62.0386 158.331 62.1052 158.331 62.1719 158.331V158.331C121.084 164.754 180.519 164.754 239.431 158.331V158.331C240.139 158.331 240.831 158.297 241.497 158.231C241.714 158.206 241.922 158.181 242.131 158.156C242.156 158.147 242.189 158.147 242.214 158.139C242.356 158.122 242.497 158.097 242.639 158.072C242.847 158.047 243.056 158.006 243.264 157.964C243.681 157.872 243.87 157.806 244.436 157.611C245.001 157.417 245.94 157.077 246.527 156.794C247.115 156.511 247.522 156.239 248.014 155.931C248.622 155.547 249.201 155.155 249.788 154.715C250.041 154.521 250.214 154.397 250.397 154.222L250.297 154.164L150.731 101.547Z"
+        fill="#FF4B4B"
+      />
+      <path
+        d="M294.766 25.4981H294.683L203.357 73.7483L254.124 149.357L300.524 30.4981V30.3315C301.691 26.8314 298.108 23.6648 294.766 25.4981"
+        fill="#7D353B"
+      />
+      <path
+        d="M155.598 2.55572C153.264 -0.852624 148.181 -0.852624 145.931 2.55572L98.1389 73.7477L150.731 101.548L250.398 154.222C251.024 153.609 251.526 153.012 252.056 152.381C252.806 151.456 253.506 150.465 254.123 149.356L203.356 73.7477L155.598 2.55572Z"
+        fill="#BD4043"
+      />
+    </svg>
+  );
+}
diff --git a/src/frontend/src/icons/Streamlit/index.tsx b/src/frontend/src/icons/Streamlit/index.tsx
new file mode 100644
index 00000000000..1a4c5511905
--- /dev/null
+++ b/src/frontend/src/icons/Streamlit/index.tsx
@@ -0,0 +1,8 @@
+import React, { forwardRef } from "react";
+import SvgStreamlit from "./SvgStreamlit";
+
+export const Streamlit = forwardRef<SVGSVGElement, React.PropsWithChildren<{}>>(
+  (props, ref) => {
+    return <SvgStreamlit className="icon" ref={ref} {...props} />;
+  },
+);
diff --git a/src/frontend/src/icons/Upstash/UpstashIcon.jsx b/src/frontend/src/icons/Upstash/UpstashIcon.jsx
new file mode 100644
index 00000000000..95e7a062cad
--- /dev/null
+++ b/src/frontend/src/icons/Upstash/UpstashIcon.jsx
@@ -0,0 +1,45 @@
+import React from "react";
+
+const UpstashIcon = (props) => (
+  <svg
+    width="256px"
+    height="341px"
+    viewBox="0 0 256 341"
+    version="1.1"
+    xmlns="http://www.w3.org/2000/svg"
+    preserveAspectRatio="xMidYMid"
+    {...props}
+  >
+    <title>upstash</title>
+    <g>
+      <path
+        d="M0,298.416784 C56.5542815,354.970323 148.246768,354.970323 204.801032,298.416784 C261.354571,241.86252 261.354571,150.170106 204.801032,93.6158424 L179.200462,119.215688 C221.61634,161.631567 221.61634,230.401059 179.200462,272.816213 C136.785307,315.232092 68.0157428,315.232092 25.5998642,272.816213 L0,298.416784 Z"
+        fill="#00C98D"
+      ></path>
+      <path
+        d="M51.200362,247.216367 C79.4772765,275.493137 125.323122,275.493137 153.600615,247.216367 C181.877385,218.939598 181.877385,173.093028 153.600615,144.816259 L128.000769,170.416105 C142.139154,184.55449 142.139154,207.477412 128.000769,221.616521 C113.86166,235.754906 90.9387378,235.754906 76.800353,221.616521 L51.200362,247.216367 Z"
+        fill="#00C98D"
+      ></path>
+      <path
+        d="M256,42.415426 C199.445737,-14.1384753 107.753322,-14.1384753 51.1994207,42.415426 C-5.35485714,98.9696894 -5.35485714,190.662104 51.1994207,247.216367 L76.7989048,221.616521 C34.3841124,179.200643 34.3841124,110.431151 76.7989048,68.0159962 C119.214783,25.6001177 187.984275,25.6001177 230.39943,68.0159962 L256,42.415426 Z"
+        fill="#00C98D"
+      ></path>
+      <path
+        d="M204.800308,93.6158424 C176.523538,65.3390727 130.676245,65.3390727 102.399475,93.6158424 C74.1219813,121.893336 74.1219813,167.739181 102.399475,196.015951 L127.999321,170.416105 C113.860936,156.27772 113.860936,133.354797 127.999321,119.215688 C142.137706,105.077304 165.060629,105.077304 179.199738,119.215688 L204.800308,93.6158424 Z"
+        fill="#00C98D"
+      ></path>
+      <path
+        d="M256,42.415426 C199.445737,-14.1384753 107.753322,-14.1384753 51.1994207,42.415426 C-5.35485714,98.9696894 -5.35485714,190.662104 51.1994207,247.216367 L76.7989048,221.616521 C34.3841124,179.200643 34.3841124,110.431151 76.7989048,68.0159962 C119.214783,25.6001177 187.984275,25.6001177 230.39943,68.0159962 L256,42.415426 Z"
+        fillOpacity="0.4"
+        fill="#FFFFFF"
+      ></path>
+      <path
+        d="M204.800308,93.6158424 C176.523538,65.3390727 130.676245,65.3390727 102.399475,93.6158424 C74.1219813,121.893336 74.1219813,167.739181 102.399475,196.015951 L127.999321,170.416105 C113.860936,156.27772 113.860936,133.354797 127.999321,119.215688 C142.137706,105.077304 165.060629,105.077304 179.199738,119.215688 L204.800308,93.6158424 Z"
+        fillOpacity="0.4"
+        fill="#FFFFFF"
+      ></path>
+    </g>
+  </svg>
+);
+
+export default UpstashIcon;
diff --git a/src/frontend/src/icons/Upstash/index.tsx b/src/frontend/src/icons/Upstash/index.tsx
new file mode 100644
index 00000000000..b76110168de
--- /dev/null
+++ b/src/frontend/src/icons/Upstash/index.tsx
@@ -0,0 +1,9 @@
+import React, { forwardRef } from "react";
+import UpstashIcon from "./UpstashIcon";
+
+export const UpstashSvgIcon = forwardRef<
+  SVGSVGElement,
+  React.PropsWithChildren<{}>
+>((props, ref) => {
+  return <UpstashIcon ref={ref} {...props} />;
+});
diff --git a/src/frontend/src/icons/Upstash/upstash-icon-seeklogo.svg b/src/frontend/src/icons/Upstash/upstash-icon-seeklogo.svg
new file mode 100644
index 00000000000..a0fb96a79e7
--- /dev/null
+++ b/src/frontend/src/icons/Upstash/upstash-icon-seeklogo.svg
@@ -0,0 +1,12 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<svg width="256px" height="341px" viewBox="0 0 256 341" version="1.1" xmlns="http://www.w3.org/2000/svg" preserveAspectRatio="xMidYMid">
+    <title>upstash</title>
+    <g>
+        <path d="M0,298.416784 C56.5542815,354.970323 148.246768,354.970323 204.801032,298.416784 C261.354571,241.86252 261.354571,150.170106 204.801032,93.6158424 L179.200462,119.215688 C221.61634,161.631567 221.61634,230.401059 179.200462,272.816213 C136.785307,315.232092 68.0157428,315.232092 25.5998642,272.816213 L0,298.416784 Z" fill="#00C98D"></path>
+        <path d="M51.200362,247.216367 C79.4772765,275.493137 125.323122,275.493137 153.600615,247.216367 C181.877385,218.939598 181.877385,173.093028 153.600615,144.816259 L128.000769,170.416105 C142.139154,184.55449 142.139154,207.477412 128.000769,221.616521 C113.86166,235.754906 90.9387378,235.754906 76.800353,221.616521 L51.200362,247.216367 Z" fill="#00C98D"></path>
+        <path d="M256,42.415426 C199.445737,-14.1384753 107.753322,-14.1384753 51.1994207,42.415426 C-5.35485714,98.9696894 -5.35485714,190.662104 51.1994207,247.216367 L76.7989048,221.616521 C34.3841124,179.200643 34.3841124,110.431151 76.7989048,68.0159962 C119.214783,25.6001177 187.984275,25.6001177 230.39943,68.0159962 L256,42.415426 Z" fill="#00C98D"></path>
+        <path d="M204.800308,93.6158424 C176.523538,65.3390727 130.676245,65.3390727 102.399475,93.6158424 C74.1219813,121.893336 74.1219813,167.739181 102.399475,196.015951 L127.999321,170.416105 C113.860936,156.27772 113.860936,133.354797 127.999321,119.215688 C142.137706,105.077304 165.060629,105.077304 179.199738,119.215688 L204.800308,93.6158424 Z" fill="#00C98D"></path>
+        <path d="M256,42.415426 C199.445737,-14.1384753 107.753322,-14.1384753 51.1994207,42.415426 C-5.35485714,98.9696894 -5.35485714,190.662104 51.1994207,247.216367 L76.7989048,221.616521 C34.3841124,179.200643 34.3841124,110.431151 76.7989048,68.0159962 C119.214783,25.6001177 187.984275,25.6001177 230.39943,68.0159962 L256,42.415426 Z" fill-opacity="0.4" fill="#FFFFFF"></path>
+        <path d="M204.800308,93.6158424 C176.523538,65.3390727 130.676245,65.3390727 102.399475,93.6158424 C74.1219813,121.893336 74.1219813,167.739181 102.399475,196.015951 L127.999321,170.416105 C113.860936,156.27772 113.860936,133.354797 127.999321,119.215688 C142.137706,105.077304 165.060629,105.077304 179.199738,119.215688 L204.800308,93.6158424 Z" fill-opacity="0.4" fill="#FFFFFF"></path>
+    </g>
+</svg>
diff --git a/src/frontend/src/icons/Word/index.tsx b/src/frontend/src/icons/Word/index.tsx
index ac7842e2fa9..9df0d60cc6a 100644
--- a/src/frontend/src/icons/Word/index.tsx
+++ b/src/frontend/src/icons/Word/index.tsx
@@ -4,5 +4,5 @@ import SvgWord from "./Word";
 export const WordIcon = forwardRef<SVGSVGElement, React.PropsWithChildren<{}>>(
   (props, ref) => {
     return <SvgWord ref={ref} {...props} />;
-  }
+  },
 );
diff --git a/src/frontend/src/icons/mistral/index.tsx b/src/frontend/src/icons/mistral/index.tsx
new file mode 100644
index 00000000000..6125953aa3c
--- /dev/null
+++ b/src/frontend/src/icons/mistral/index.tsx
@@ -0,0 +1,9 @@
+import React, { forwardRef } from "react";
+import SvgMistralIcon from "./mistralIcon";
+
+export const MistralIcon = forwardRef<
+  SVGSVGElement,
+  React.PropsWithChildren<{}>
+>((props, ref) => {
+  return <SvgMistralIcon ref={ref} {...props} />;
+});
diff --git a/src/frontend/src/icons/mistral/mistralIcon.jsx b/src/frontend/src/icons/mistral/mistralIcon.jsx
new file mode 100644
index 00000000000..9e8e2a90347
--- /dev/null
+++ b/src/frontend/src/icons/mistral/mistralIcon.jsx
@@ -0,0 +1,197 @@
+const SvgMistralIcon = (props) => (
+  <svg
+    version="1.1"
+    width="32px"
+    height="32px"
+    viewBox="0 0 256 233"
+    xmlns="http://www.w3.org/2000/svg"
+    preserveAspectRatio="xMidYMid"
+  >
+    <title>Mistral AI</title>
+    <g>
+      <rect
+        fill="#000000"
+        x="186.181818"
+        y="0"
+        width="46.5454545"
+        height="46.5454545"
+      ></rect>
+      <rect
+        fill="#F7D046"
+        x="209.454545"
+        y="0"
+        width="46.5454545"
+        height="46.5454545"
+      ></rect>
+      <rect
+        fill="#000000"
+        x="0"
+        y="0"
+        width="46.5454545"
+        height="46.5454545"
+      ></rect>
+      <rect
+        fill="#000000"
+        x="0"
+        y="46.5454545"
+        width="46.5454545"
+        height="46.5454545"
+      ></rect>
+      <rect
+        fill="#000000"
+        x="0"
+        y="93.0909091"
+        width="46.5454545"
+        height="46.5454545"
+      ></rect>
+      <rect
+        fill="#000000"
+        x="0"
+        y="139.636364"
+        width="46.5454545"
+        height="46.5454545"
+      ></rect>
+      <rect
+        fill="#000000"
+        x="0"
+        y="186.181818"
+        width="46.5454545"
+        height="46.5454545"
+      ></rect>
+      <rect
+        fill="#F7D046"
+        x="23.2727273"
+        y="0"
+        width="46.5454545"
+        height="46.5454545"
+      ></rect>
+      <rect
+        fill="#F2A73B"
+        x="209.454545"
+        y="46.5454545"
+        width="46.5454545"
+        height="46.5454545"
+      ></rect>
+      <rect
+        fill="#F2A73B"
+        x="23.2727273"
+        y="46.5454545"
+        width="46.5454545"
+        height="46.5454545"
+      ></rect>
+      <rect
+        fill="#000000"
+        x="139.636364"
+        y="46.5454545"
+        width="46.5454545"
+        height="46.5454545"
+      ></rect>
+      <rect
+        fill="#F2A73B"
+        x="162.909091"
+        y="46.5454545"
+        width="46.5454545"
+        height="46.5454545"
+      ></rect>
+      <rect
+        fill="#F2A73B"
+        x="69.8181818"
+        y="46.5454545"
+        width="46.5454545"
+        height="46.5454545"
+      ></rect>
+      <rect
+        fill="#EE792F"
+        x="116.363636"
+        y="93.0909091"
+        width="46.5454545"
+        height="46.5454545"
+      ></rect>
+      <rect
+        fill="#EE792F"
+        x="162.909091"
+        y="93.0909091"
+        width="46.5454545"
+        height="46.5454545"
+      ></rect>
+      <rect
+        fill="#EE792F"
+        x="69.8181818"
+        y="93.0909091"
+        width="46.5454545"
+        height="46.5454545"
+      ></rect>
+      <rect
+        fill="#000000"
+        x="93.0909091"
+        y="139.636364"
+        width="46.5454545"
+        height="46.5454545"
+      ></rect>
+      <rect
+        fill="#EB5829"
+        x="116.363636"
+        y="139.636364"
+        width="46.5454545"
+        height="46.5454545"
+      ></rect>
+      <rect
+        fill="#EE792F"
+        x="209.454545"
+        y="93.0909091"
+        width="46.5454545"
+        height="46.5454545"
+      ></rect>
+      <rect
+        fill="#EE792F"
+        x="23.2727273"
+        y="93.0909091"
+        width="46.5454545"
+        height="46.5454545"
+      ></rect>
+      <rect
+        fill="#000000"
+        x="186.181818"
+        y="139.636364"
+        width="46.5454545"
+        height="46.5454545"
+      ></rect>
+      <rect
+        fill="#EB5829"
+        x="209.454545"
+        y="139.636364"
+        width="46.5454545"
+        height="46.5454545"
+      ></rect>
+      <rect
+        fill="#000000"
+        x="186.181818"
+        y="186.181818"
+        width="46.5454545"
+        height="46.5454545"
+      ></rect>
+      <rect
+        fill="#EB5829"
+        x="23.2727273"
+        y="139.636364"
+        width="46.5454545"
+        height="46.5454545"
+      ></rect>
+      <rect
+        fill="#EA3326"
+        x="209.454545"
+        y="186.181818"
+        width="46.5454545"
+        height="46.5454545"
+      ></rect>
+      <rect
+        fill="#EA3326"
+        x="23.2727273"
+        y="186.181818"
+        width="46.5454545"
+        height="46.5454545"
+      ></rect>
+    </g>
+  </svg>
+);
+export default SvgMistralIcon;
diff --git a/src/frontend/src/index.tsx b/src/frontend/src/index.tsx
index 78a57298f6d..006d93ff287 100644
--- a/src/frontend/src/index.tsx
+++ b/src/frontend/src/index.tsx
@@ -11,11 +11,11 @@ import "./style/applies.css";
 import "./style/classes.css";
 
 const root = ReactDOM.createRoot(
-  document.getElementById("root") as HTMLElement
+  document.getElementById("root") as HTMLElement,
 );
 root.render(
   <ContextWrapper>
     <App />
-  </ContextWrapper>
+  </ContextWrapper>,
 );
 reportWebVitals();
diff --git a/src/frontend/src/modals/ApiModal/index.tsx b/src/frontend/src/modals/ApiModal/index.tsx
deleted file mode 100644
index 81d6defeebf..00000000000
--- a/src/frontend/src/modals/ApiModal/index.tsx
+++ /dev/null
@@ -1,252 +0,0 @@
-import "ace-builds/src-noconflict/ext-language_tools";
-import "ace-builds/src-noconflict/mode-python";
-import "ace-builds/src-noconflict/theme-github";
-import "ace-builds/src-noconflict/theme-twilight";
-import {
-  ReactNode,
-  forwardRef,
-  useContext,
-  useEffect,
-  useRef,
-  useState,
-} from "react";
-// import "ace-builds/webpack-resolver";
-import CodeTabsComponent from "../../components/codeTabsComponent";
-import IconComponent from "../../components/genericIconComponent";
-import {
-  EXPORT_CODE_DIALOG,
-  LANGFLOW_SUPPORTED_TYPES,
-} from "../../constants/constants";
-import { AuthContext } from "../../contexts/authContext";
-import useFlowStore from "../../stores/flowStore";
-import { TemplateVariableType } from "../../types/api";
-import { tweakType, uniqueTweakType } from "../../types/components";
-import { FlowType, NodeType } from "../../types/flow/index";
-import { buildTweaks, convertArrayToObj } from "../../utils/reactflowUtils";
-import {
-  getCurlCode,
-  getPythonApiCode,
-  getPythonCode,
-  getWidgetCode,
-  tabsArray,
-} from "../../utils/utils";
-import BaseModal from "../baseModal";
-
-const ApiModal = forwardRef(
-  (
-    {
-      flow,
-      children,
-    }: {
-      flow: FlowType;
-      children: ReactNode;
-    },
-    ref
-  ) => {
-    const { autoLogin } = useContext(AuthContext);
-    const [open, setOpen] = useState(false);
-    const [activeTab, setActiveTab] = useState("0");
-    const tweak = useRef<tweakType>([]);
-    const tweaksList = useRef<string[]>([]);
-    const [getTweak, setTweak] = useState<tweakType>([]);
-    const flowState = useFlowStore((state) => state.flowState);
-    const pythonApiCode = getPythonApiCode(
-      flow,
-      autoLogin,
-      tweak.current,
-      flowState
-    );
-    const curl_code = getCurlCode(flow, autoLogin, tweak.current, flowState);
-    const pythonCode = getPythonCode(flow, tweak.current, flowState);
-    const widgetCode = getWidgetCode(flow, autoLogin, flowState);
-    const tweaksCode = buildTweaks(flow);
-    const codesArray = [
-      curl_code,
-      pythonApiCode,
-      pythonCode,
-      widgetCode,
-      pythonCode,
-    ];
-    const [tabs, setTabs] = useState(tabsArray(codesArray, 0));
-
-    function startState() {
-      tweak.current = [];
-      setTweak([]);
-      tweaksList.current = [];
-    }
-
-    useEffect(() => {
-      if (flow["data"]!["nodes"].length == 0) {
-        startState();
-      } else {
-        tweak.current = [];
-        const t = buildTweaks(flow);
-        tweak.current.push(t);
-      }
-
-      filterNodes();
-
-      if (Object.keys(tweaksCode).length > 0) {
-        setActiveTab("0");
-        setTabs(tabsArray(codesArray, 1));
-      } else {
-        setTabs(tabsArray(codesArray, 1));
-      }
-    }, [flow["data"]!["nodes"], open]);
-
-    function filterNodes() {
-      let arrNodesWithValues: string[] = [];
-
-      flow["data"]!["nodes"].forEach((node) => {
-        Object.keys(node["data"]["node"]["template"])
-          .filter(
-            (templateField) =>
-              templateField.charAt(0) !== "_" &&
-              node.data.node.template[templateField].show &&
-              LANGFLOW_SUPPORTED_TYPES.has(
-                node.data.node.template[templateField].type
-              )
-          )
-          .map((n, i) => {
-            arrNodesWithValues.push(node["id"]);
-          });
-      });
-
-      tweaksList.current = arrNodesWithValues.filter((value, index, self) => {
-        return self.indexOf(value) === index;
-      });
-    }
-    function buildTweakObject(
-      tw: string,
-      changes: string | string[] | boolean | number | Object[] | Object,
-      template: TemplateVariableType
-    ) {
-      if (typeof changes === "string" && template.type === "float") {
-        changes = parseFloat(changes);
-      }
-      if (typeof changes === "string" && template.type === "int") {
-        changes = parseInt(changes);
-      }
-      if (template.list === true && Array.isArray(changes)) {
-        changes = changes?.filter((x) => x !== "");
-      }
-
-      if (template.type === "dict" && Array.isArray(changes)) {
-        changes = convertArrayToObj(changes);
-      }
-
-      if (template.type === "NestedDict") {
-        changes = JSON.stringify(changes);
-      }
-
-      const existingTweak = tweak.current.find((element) =>
-        element.hasOwnProperty(tw)
-      );
-
-      if (existingTweak) {
-        existingTweak[tw][template["name"]!] = changes as string;
-
-        if (existingTweak[tw][template["name"]!] == template.value) {
-          tweak.current.forEach((element) => {
-            if (element[tw] && Object.keys(element[tw])?.length === 0) {
-              tweak.current = tweak.current.filter((obj) => {
-                const prop = obj[Object.keys(obj)[0]].prop;
-                return prop !== undefined && prop !== null && prop !== "";
-              });
-            }
-          });
-        }
-      } else {
-        const newTweak = {
-          [tw]: {
-            [template["name"]!]: changes,
-          },
-        } as uniqueTweakType;
-        tweak.current.push(newTweak);
-      }
-
-      const pythonApiCode = getPythonApiCode(
-        flow,
-        autoLogin,
-        tweak.current,
-        flowState
-      );
-      const curl_code = getCurlCode(flow, autoLogin, tweak.current, flowState);
-      const pythonCode = getPythonCode(flow, tweak.current, flowState);
-      const widgetCode = getWidgetCode(flow, autoLogin, flowState);
-
-      tabs![0].code = curl_code;
-      tabs![1].code = pythonApiCode;
-      tabs![2].code = pythonCode;
-      tabs![3].code = widgetCode;
-
-      setTweak(tweak.current);
-    }
-
-    function buildContent(value: string) {
-      const htmlContent = (
-        <div className="w-[200px]">
-          <span>{value != null && value != "" ? value : "None"}</span>
-        </div>
-      );
-      return htmlContent;
-    }
-
-    function getValue(
-      value: string,
-      node: NodeType,
-      template: TemplateVariableType
-    ) {
-      let returnValue = value ?? "";
-
-      if (getTweak.length > 0) {
-        for (const obj of getTweak) {
-          Object.keys(obj).forEach((key) => {
-            const value = obj[key];
-            if (key == node["id"]) {
-              Object.keys(value).forEach((key) => {
-                if (key == template["name"]) {
-                  returnValue = value[key];
-                }
-              });
-            }
-          });
-        }
-      } else {
-        return value ?? "";
-      }
-      return returnValue;
-    }
-
-    return (
-      <BaseModal open={open} setOpen={setOpen}>
-        <BaseModal.Trigger asChild>{children}</BaseModal.Trigger>
-        <BaseModal.Header description={EXPORT_CODE_DIALOG}>
-          <span className="pr-2">Code</span>
-          <IconComponent
-            name="Code2"
-            className="h-6 w-6 pl-1 text-gray-800 dark:text-white"
-            aria-hidden="true"
-          />
-        </BaseModal.Header>
-        <BaseModal.Content>
-          <CodeTabsComponent
-            flow={flow}
-            tabs={tabs!}
-            activeTab={activeTab}
-            setActiveTab={setActiveTab}
-            tweaks={{
-              tweak,
-              tweaksList,
-              buildContent,
-              buildTweakObject,
-              getValue,
-            }}
-          />
-        </BaseModal.Content>
-      </BaseModal>
-    );
-  }
-);
-
-export default ApiModal;
diff --git a/src/frontend/src/modals/BundleModal/component/index.tsx b/src/frontend/src/modals/BundleModal/component/index.tsx
new file mode 100644
index 00000000000..c7521cfe25d
--- /dev/null
+++ b/src/frontend/src/modals/BundleModal/component/index.tsx
@@ -0,0 +1,140 @@
+import { useEffect, useState } from "react";
+import InputComponent from "../../../components/inputComponent";
+import {
+  FormControl,
+  FormField,
+  FormItem,
+  FormMessage,
+} from "../../../components/ui/form";
+import { Input } from "../../../components/ui/input";
+import { Label } from "../../../components/ui/label";
+import { Textarea } from "../../../components/ui/textarea";
+import useFlowsManagerStore from "../../../stores/flowsManagerStore";
+
+type FolderFormsProps = {
+  control: any;
+  setValue: any;
+  folderToEdit: any;
+};
+
+export const FolderForms = ({
+  control,
+  setValue,
+  folderToEdit,
+}: FolderFormsProps): JSX.Element => {
+  const flows = useFlowsManagerStore((state) => state.flows);
+  const [selectedComponents, setSelectedComponents] = useState<string[]>([]);
+  const [selectedFlows, setSelectedFlows] = useState<string[]>([]);
+
+  const componentsList = flows
+    .filter((flow) => flow.is_component && flow.folder_id !== null)
+    .map((flow) => ({ id: flow.id, name: flow.name }));
+
+  const flowsList = flows
+    .filter((flow) => !flow.is_component && flow.folder_id !== null)
+    .map((flow) => ({ id: flow.id, name: flow.name }));
+
+  useEffect(() => {
+    setValue("components", selectedComponents);
+    setValue("flows", selectedFlows);
+  }, [selectedComponents, selectedFlows]);
+
+  useEffect(() => {
+    if (folderToEdit) {
+      setValue("name", folderToEdit.name);
+      setValue("description", folderToEdit.description);
+      console.log(folderToEdit);
+
+      // setSelectedComponents(folderToEdit.components);
+      // setSelectedFlows(folderToEdit.flows);
+      return;
+    }
+    setValue("name", "");
+    setValue("description", "");
+    setSelectedComponents([]);
+    setSelectedFlows([]);
+  }, [folderToEdit]);
+
+  return (
+    <>
+      <div className="flex h-full w-full flex-col gap-4 align-middle">
+        <Label>Folder Name</Label>
+
+        <FormField
+          control={control}
+          name="name"
+          render={({ field }) => (
+            <FormItem>
+              <FormControl>
+                <Input
+                  value={field.value}
+                  onChange={field.onChange}
+                  placeholder="Insert a name for the folder..."
+                ></Input>
+              </FormControl>
+
+              <FormMessage />
+            </FormItem>
+          )}
+        />
+
+        <Label>Description (optional) </Label>
+
+        <FormField
+          control={control}
+          name="description"
+          render={({ field }) => (
+            <FormControl>
+              <Textarea
+                value={field.value}
+                onChange={field.onChange}
+                placeholder="Insert a description for the folder..."
+              ></Textarea>
+            </FormControl>
+          )}
+        />
+
+        <Label>Add Flows</Label>
+
+        <FormField
+          control={control}
+          name="flows"
+          render={() => (
+            <FormControl>
+              <InputComponent
+                isObjectOption
+                password={false}
+                objectOptions={flowsList}
+                placeholder="Choose a flow to add..."
+                id="input-flow"
+                setSelectedOptions={(value: any) => setSelectedFlows(value)}
+                selectedOptions={selectedFlows}
+              ></InputComponent>
+            </FormControl>
+          )}
+        />
+
+        <Label>Add Components</Label>
+        <FormField
+          control={control}
+          name="components"
+          render={() => (
+            <FormControl>
+              <InputComponent
+                isObjectOption
+                password={false}
+                objectOptions={componentsList}
+                placeholder="Choose a component to add..."
+                id="input-component"
+                setSelectedOptions={(value) => setSelectedComponents(value)}
+                selectedOptions={selectedComponents}
+              ></InputComponent>
+            </FormControl>
+          )}
+        />
+      </div>
+    </>
+  );
+};
+
+export default FolderForms;
diff --git a/src/frontend/src/modals/BundleModal/entities/index.ts b/src/frontend/src/modals/BundleModal/entities/index.ts
new file mode 100644
index 00000000000..64d69d38b94
--- /dev/null
+++ b/src/frontend/src/modals/BundleModal/entities/index.ts
@@ -0,0 +1,10 @@
+import { z } from "zod";
+
+export const FolderFormsSchema = z.object({
+  name: z.string().min(1, {
+    message: "Name must be at least 1 characters.",
+  }),
+  description: z.string().optional(),
+  components: z.array(z.string()),
+  flows: z.array(z.string()),
+});
diff --git a/src/frontend/src/modals/BundleModal/hooks/submit-folder.tsx b/src/frontend/src/modals/BundleModal/hooks/submit-folder.tsx
new file mode 100644
index 00000000000..cb12ca7cb40
--- /dev/null
+++ b/src/frontend/src/modals/BundleModal/hooks/submit-folder.tsx
@@ -0,0 +1,53 @@
+import { addFolder, updateFolder } from "../../../pages/MainPage/services";
+import useAlertStore from "../../../stores/alertStore";
+import { useFolderStore } from "../../../stores/foldersStore";
+
+const useFolderSubmit = (setOpen, folderToEdit) => {
+  const setSuccessData = useAlertStore((state) => state.setSuccessData);
+  const setErrorData = useAlertStore((state) => state.setErrorData);
+  const getFoldersApi = useFolderStore((state) => state.getFoldersApi);
+
+  const onSubmit = (data) => {
+    if (folderToEdit) {
+      updateFolder(data, folderToEdit?.id!).then(
+        () => {
+          setSuccessData({
+            title: "Folder updated successfully.",
+          });
+          getFoldersApi(true);
+          setOpen(false);
+        },
+        (reason) => {
+          if (reason) {
+            setErrorData({
+              title: `Error updating folder.`,
+            });
+            console.error(reason);
+          } else {
+            getFoldersApi(true);
+            setOpen(false);
+          }
+        },
+      );
+    } else {
+      addFolder(data).then(
+        () => {
+          setSuccessData({
+            title: "Folder created successfully.",
+          });
+          getFoldersApi(true);
+          setOpen(false);
+        },
+        () => {
+          setErrorData({
+            title: `Error creating folder.`,
+          });
+        },
+      );
+    }
+  };
+
+  return { onSubmit, open, setOpen };
+};
+
+export default useFolderSubmit;
diff --git a/src/frontend/src/modals/BundleModal/index.tsx b/src/frontend/src/modals/BundleModal/index.tsx
new file mode 100644
index 00000000000..34350a459f0
--- /dev/null
+++ b/src/frontend/src/modals/BundleModal/index.tsx
@@ -0,0 +1,79 @@
+import { zodResolver } from "@hookform/resolvers/zod";
+import { useForm } from "react-hook-form";
+import { z } from "zod";
+import ForwardedIconComponent from "../../components/genericIconComponent";
+import { Button } from "../../components/ui/button";
+import { Form } from "../../components/ui/form";
+import { useFolderStore } from "../../stores/foldersStore";
+import BaseModal from "../baseModal";
+import FolderForms from "./component";
+import { FolderFormsSchema } from "./entities";
+import useFolderSubmit from "./hooks/submit-folder";
+
+type FoldersModalProps = {
+  open: boolean;
+  setOpen: (open: boolean) => void;
+};
+
+export default function FoldersModal({
+  open,
+  setOpen,
+}: FoldersModalProps): JSX.Element {
+  const form = useForm<z.infer<typeof FolderFormsSchema>>({
+    resolver: zodResolver(FolderFormsSchema),
+    defaultValues: {
+      name: "",
+      description: "",
+      components: [],
+      flows: [],
+    },
+    mode: "all",
+  });
+
+  const folderToEdit = useFolderStore((state) => state.folderToEdit);
+  const { onSubmit: onSubmitFolder } = useFolderSubmit(setOpen, folderToEdit);
+
+  const onSubmit = (data) => {
+    onSubmitFolder(data);
+  };
+
+  return (
+    <>
+      <BaseModal size="x-small" open={open} setOpen={setOpen}>
+        <BaseModal.Header
+          description={`${folderToEdit ? "Edit a folder" : "Add a new folder"}`}
+        >
+          <span className="pr-2" data-testid="modal-title">
+            {folderToEdit ? "Edit" : "New"} Folder
+          </span>
+          <ForwardedIconComponent
+            name="Plus"
+            className="h-6 w-6 pl-1 text-primary"
+            aria-hidden="true"
+          />
+        </BaseModal.Header>
+        <BaseModal.Content>
+          <div>
+            <Form {...form}>
+              <form onSubmit={form.handleSubmit(onSubmit)}>
+                <FolderForms
+                  folderToEdit={folderToEdit}
+                  control={form.control}
+                  setValue={form.setValue}
+                />
+
+                <Button
+                  className="float-right mt-6"
+                  type="submit"
+                  disabled={!form.formState.isValid}
+                >
+                  {folderToEdit ? "Edit" : "Save"} Folder
+                </Button>
+              </form>
+            </Form>
+          </div>
+        </BaseModal.Content>
+      </BaseModal>
+    </>
+  );
+}
diff --git a/src/frontend/src/modals/ConfirmationModal/index.tsx b/src/frontend/src/modals/ConfirmationModal/index.tsx
deleted file mode 100644
index 3530a45acaa..00000000000
--- a/src/frontend/src/modals/ConfirmationModal/index.tsx
+++ /dev/null
@@ -1,113 +0,0 @@
-import React, { useEffect, useState } from "react";
-import ShadTooltip from "../../components/ShadTooltipComponent";
-import { Button } from "../../components/ui/button";
-import {
-  ConfirmationModalType,
-  ContentProps,
-  TriggerProps,
-} from "../../types/components";
-import { nodeIconsLucide } from "../../utils/styleUtils";
-import BaseModal from "../baseModal";
-
-const Content: React.FC<ContentProps> = ({ children }) => {
-  return <div className="h-full w-full">{children}</div>;
-};
-const Trigger: React.FC<TriggerProps> = ({
-  children,
-  tooltipContent,
-  side,
-}: TriggerProps) => {
-  return tooltipContent ? (
-    <ShadTooltip side={side} content={tooltipContent}>
-      <div className="h-full w-full">{children}</div>
-    </ShadTooltip>
-  ) : (
-    <div className="h-full w-full">{children}</div>
-  );
-};
-function ConfirmationModal({
-  title,
-  titleHeader,
-  modalContentTitle,
-  cancelText,
-  confirmationText,
-  children,
-  destructive = false,
-  icon,
-  data,
-  index,
-  onConfirm,
-  size,
-  open,
-  onClose,
-  onCancel,
-}: ConfirmationModalType) {
-  const Icon: any = nodeIconsLucide[icon];
-  const [modalOpen, setModalOpen] = useState(open ?? false);
-
-  useEffect(() => {
-    if (open) setModalOpen(open);
-  }, [open]);
-
-  useEffect(() => {
-    if (onClose) onClose!(modalOpen);
-  }, [modalOpen]);
-
-  const triggerChild = React.Children.toArray(children).find(
-    (child) => (child as React.ReactElement).type === Trigger
-  );
-  const ContentChild = React.Children.toArray(children).find(
-    (child) => (child as React.ReactElement).type === Content
-  );
-
-  return (
-    <BaseModal size={size} open={modalOpen} setOpen={setModalOpen}>
-      <BaseModal.Trigger>{triggerChild}</BaseModal.Trigger>
-      <BaseModal.Header description={titleHeader ?? null}>
-        <span className="pr-2">{title}</span>
-        <Icon
-          name="icon"
-          className="h-6 w-6 pl-1 text-foreground"
-          aria-hidden="true"
-        />
-      </BaseModal.Header>
-      <BaseModal.Content>
-        {modalContentTitle && modalContentTitle != "" && (
-          <>
-            <strong>{modalContentTitle}</strong>
-            <br></br>
-          </>
-        )}
-        {ContentChild}
-      </BaseModal.Content>
-
-      <BaseModal.Footer>
-        <Button
-          className="ml-3"
-          variant={destructive ? "destructive" : "default"}
-          onClick={() => {
-            setModalOpen(false);
-            onConfirm(index, data);
-          }}
-        >
-          {confirmationText}
-        </Button>
-
-        <Button
-          className=""
-          variant="outline"
-          onClick={() => {
-            if (onCancel) onCancel();
-            setModalOpen(false);
-          }}
-        >
-          {cancelText}
-        </Button>
-      </BaseModal.Footer>
-    </BaseModal>
-  );
-}
-ConfirmationModal.Content = Content;
-ConfirmationModal.Trigger = Trigger;
-
-export default ConfirmationModal;
diff --git a/src/frontend/src/modals/DeleteConfirmationModal/index.tsx b/src/frontend/src/modals/DeleteConfirmationModal/index.tsx
deleted file mode 100644
index 89158c29c39..00000000000
--- a/src/frontend/src/modals/DeleteConfirmationModal/index.tsx
+++ /dev/null
@@ -1,62 +0,0 @@
-import { DialogClose } from "@radix-ui/react-dialog";
-import { Trash2 } from "lucide-react";
-import { Button } from "../../components/ui/button";
-import {
-  Dialog,
-  DialogContent,
-  DialogFooter,
-  DialogHeader,
-  DialogTitle,
-  DialogTrigger,
-} from "../../components/ui/dialog";
-
-export default function DeleteConfirmationModal({
-  children,
-  onConfirm,
-  description,
-}: {
-  children: JSX.Element;
-  onConfirm: () => void;
-  description?: string;
-}) {
-  return (
-    <Dialog>
-      <DialogTrigger tabIndex={-1}>{children}</DialogTrigger>
-      <DialogContent>
-        <DialogHeader>
-          <DialogTitle>
-            <div className="flex items-center">
-              <span className="pr-2">Delete</span>
-              <Trash2
-                className="h-6 w-6 pl-1 text-foreground"
-                strokeWidth={1.5}
-              />
-            </div>
-          </DialogTitle>
-        </DialogHeader>
-        <span>
-          Are you sure you want to delete this {description ?? "component"}?
-          <br></br>
-          This action cannot be undone.
-        </span>
-        <DialogFooter>
-          <DialogClose>
-            <Button className="mr-3" variant="outline">
-              Cancel
-            </Button>
-
-            <Button
-              type="submit"
-              variant="destructive"
-              onClick={() => {
-                onConfirm();
-              }}
-            >
-              Delete
-            </Button>
-          </DialogClose>
-        </DialogFooter>
-      </DialogContent>
-    </Dialog>
-  );
-}
diff --git a/src/frontend/src/modals/EditNodeModal/index.tsx b/src/frontend/src/modals/EditNodeModal/index.tsx
deleted file mode 100644
index 817f48ea235..00000000000
--- a/src/frontend/src/modals/EditNodeModal/index.tsx
+++ /dev/null
@@ -1,562 +0,0 @@
-import { cloneDeep } from "lodash";
-import { forwardRef, useEffect, useState } from "react";
-import ShadTooltip from "../../components/ShadTooltipComponent";
-import CodeAreaComponent from "../../components/codeAreaComponent";
-import DictComponent from "../../components/dictComponent";
-import Dropdown from "../../components/dropdownComponent";
-import FloatComponent from "../../components/floatComponent";
-import IconComponent from "../../components/genericIconComponent";
-import InputComponent from "../../components/inputComponent";
-import InputFileComponent from "../../components/inputFileComponent";
-import InputListComponent from "../../components/inputListComponent";
-import IntComponent from "../../components/intComponent";
-import KeypairListComponent from "../../components/keypairListComponent";
-import PromptAreaComponent from "../../components/promptComponent";
-import TextAreaComponent from "../../components/textAreaComponent";
-import ToggleShadComponent from "../../components/toggleShadComponent";
-import { Badge } from "../../components/ui/badge";
-import { Button } from "../../components/ui/button";
-import {
-  Table,
-  TableBody,
-  TableCell,
-  TableHead,
-  TableHeader,
-  TableRow,
-} from "../../components/ui/table";
-import {
-  LANGFLOW_SUPPORTED_TYPES,
-  limitScrollFieldsModal,
-} from "../../constants/constants";
-import useFlowStore from "../../stores/flowStore";
-import { NodeDataType } from "../../types/flow";
-import {
-  convertObjToArray,
-  convertValuesToNumbers,
-  hasDuplicateKeys,
-  scapedJSONStringfy,
-} from "../../utils/reactflowUtils";
-import { classNames } from "../../utils/utils";
-import BaseModal from "../baseModal";
-
-const EditNodeModal = forwardRef(
-  (
-    {
-      data,
-      nodeLength,
-      open,
-      setOpen,
-    }: {
-      data: NodeDataType;
-      nodeLength: number;
-      open: boolean;
-      setOpen: (open: boolean) => void;
-    },
-    ref
-  ) => {
-    const [myData, setMyData] = useState(data);
-
-    const setPending = useFlowStore((state) => state.setPending);
-    const edges = useFlowStore((state) => state.edges);
-    const setNode = useFlowStore((state) => state.setNode);
-
-    function changeAdvanced(n) {
-      setMyData((old) => {
-        let newData = cloneDeep(old);
-        newData.node!.template[n].advanced =
-          !newData.node!.template[n].advanced;
-        return newData;
-      });
-    }
-
-    const handleOnNewValue = (newValue: any, name) => {
-      setMyData((old) => {
-        let newData = cloneDeep(old);
-        newData.node!.template[name].value = newValue;
-        return newData;
-      });
-    };
-
-    useEffect(() => {
-      if (open) {
-        setMyData(data); // reset data to what it is on node when opening modal
-      }
-    }, [open]);
-
-    const [errorDuplicateKey, setErrorDuplicateKey] = useState(false);
-
-    return (
-      <BaseModal
-        key={data.id}
-        size="large-h-full"
-        open={open}
-        setOpen={setOpen}
-        onChangeOpenModal={(open) => {
-          setMyData(data);
-        }}
-      >
-        <BaseModal.Trigger>
-          <></>
-        </BaseModal.Trigger>
-        <BaseModal.Header description={myData.node?.description!}>
-          <span className="pr-2">{myData.type}</span>
-          <Badge variant="secondary">ID: {myData.id}</Badge>
-        </BaseModal.Header>
-        <BaseModal.Content>
-          <div className="flex pb-2">
-            <IconComponent
-              name="Variable"
-              className="edit-node-modal-variable "
-            />
-            <span className="edit-node-modal-span">Parameters</span>
-          </div>
-
-          <div className="edit-node-modal-arrangement">
-            <div
-              className={classNames(
-                "edit-node-modal-box",
-                nodeLength > limitScrollFieldsModal
-                  ? "overflow-scroll overflow-x-hidden custom-scroll"
-                  : ""
-              )}
-            >
-              {nodeLength > 0 && (
-                <div className="edit-node-modal-table">
-                  <Table className="table-fixed bg-muted outline-1">
-                    <TableHeader className="edit-node-modal-table-header">
-                      <TableRow className="">
-                        <TableHead className="h-7 text-center">PARAM</TableHead>
-                        <TableHead className="h-7 p-0 text-center">
-                          VALUE
-                        </TableHead>
-                        <TableHead className="h-7 text-center">SHOW</TableHead>
-                      </TableRow>
-                    </TableHeader>
-                    <TableBody className="p-0">
-                      {Object.keys(myData.node!.template)
-                        .filter(
-                          (templateParam) =>
-                            templateParam.charAt(0) !== "_" &&
-                            myData.node?.template[templateParam].show &&
-                            LANGFLOW_SUPPORTED_TYPES.has(
-                              myData.node.template[templateParam].type
-                            )
-                        )
-                        .map((templateParam, index) => {
-                          let id = {
-                            inputTypes:
-                              myData.node!.template[templateParam].input_types,
-                            type: myData.node!.template[templateParam].type,
-                            id: myData.id,
-                            fieldName: templateParam,
-                          };
-                          let disabled =
-                            edges.some(
-                              (edge) =>
-                                edge.targetHandle ===
-                                scapedJSONStringfy(
-                                  myData.node!.template[templateParam].proxy
-                                    ? {
-                                        ...id,
-                                        proxy:
-                                          myData.node?.template[templateParam]
-                                            .proxy,
-                                      }
-                                    : id
-                                )
-                            ) ?? false;
-                          return (
-                            <TableRow key={index} className="h-10">
-                              <TableCell className="truncate p-0 text-center text-sm text-foreground sm:px-3">
-                                <ShadTooltip
-                                  content={
-                                    myData.node?.template[templateParam].proxy
-                                      ? myData.node?.template[templateParam]
-                                          .proxy?.id
-                                      : null
-                                  }
-                                >
-                                  <span>
-                                    {myData.node?.template[templateParam]
-                                      .display_name
-                                      ? myData.node.template[templateParam]
-                                          .display_name
-                                      : myData.node?.template[templateParam]
-                                          .name}
-                                  </span>
-                                </ShadTooltip>
-                              </TableCell>
-                              <TableCell className="w-[300px] p-0 text-center text-xs text-foreground ">
-                                {myData.node?.template[templateParam].type ===
-                                  "str" &&
-                                !myData.node.template[templateParam].options ? (
-                                  <div className="mx-auto">
-                                    {myData.node.template[templateParam]
-                                      .list ? (
-                                      <InputListComponent
-                                        editNode={true}
-                                        disabled={disabled}
-                                        value={
-                                          !myData.node.template[templateParam]
-                                            .value ||
-                                          myData.node.template[templateParam]
-                                            .value === ""
-                                            ? [""]
-                                            : myData.node.template[
-                                                templateParam
-                                              ].value
-                                        }
-                                        onChange={(value: string[]) => {
-                                          handleOnNewValue(
-                                            value,
-                                            templateParam
-                                          );
-                                        }}
-                                      />
-                                    ) : myData.node.template[templateParam]
-                                        .multiline ? (
-                                      <TextAreaComponent
-                                        id={
-                                          "textarea-edit-" +
-                                          myData.node.template[templateParam]
-                                            .name
-                                        }
-                                        data-testid={
-                                          "textarea-edit-" +
-                                          myData.node.template[templateParam]
-                                            .name
-                                        }
-                                        disabled={disabled}
-                                        editNode={true}
-                                        value={
-                                          myData.node.template[templateParam]
-                                            .value ?? ""
-                                        }
-                                        onChange={(
-                                          value: string | string[]
-                                        ) => {
-                                          handleOnNewValue(
-                                            value,
-                                            templateParam
-                                          );
-                                        }}
-                                      />
-                                    ) : (
-                                      <InputComponent
-                                        id={"input-" + index}
-                                        editNode={true}
-                                        disabled={disabled}
-                                        password={
-                                          myData.node.template[templateParam]
-                                            .password ?? false
-                                        }
-                                        value={
-                                          myData.node.template[templateParam]
-                                            .value ?? ""
-                                        }
-                                        onChange={(value) => {
-                                          handleOnNewValue(
-                                            value,
-                                            templateParam
-                                          );
-                                        }}
-                                      />
-                                    )}
-                                  </div>
-                                ) : myData.node?.template[templateParam]
-                                    .type === "NestedDict" ? (
-                                  <div className="  w-full">
-                                    <DictComponent
-                                      disabled={disabled}
-                                      editNode={true}
-                                      value={
-                                        myData.node!.template[
-                                          templateParam
-                                        ]?.value?.toString() === "{}"
-                                          ? {
-                                              yourkey: "value",
-                                            }
-                                          : myData.node!.template[templateParam]
-                                              .value
-                                      }
-                                      onChange={(newValue) => {
-                                        myData.node!.template[
-                                          templateParam
-                                        ].value = newValue;
-                                        handleOnNewValue(
-                                          newValue,
-                                          templateParam
-                                        );
-                                      }}
-                                      id="editnode-div-dict-input"
-                                    />
-                                  </div>
-                                ) : myData.node?.template[templateParam]
-                                    .type === "dict" ? (
-                                  <div
-                                    className={classNames(
-                                      "max-h-48 w-full overflow-auto custom-scroll",
-                                      myData.node!.template[templateParam].value
-                                        ?.length > 1
-                                        ? "my-3"
-                                        : ""
-                                    )}
-                                  >
-                                    <KeypairListComponent
-                                      disabled={disabled}
-                                      editNode={true}
-                                      value={
-                                        myData.node!.template[templateParam]
-                                          .value?.length === 0 ||
-                                        !myData.node!.template[templateParam]
-                                          .value
-                                          ? [{ "": "" }]
-                                          : convertObjToArray(
-                                              myData.node!.template[
-                                                templateParam
-                                              ].value
-                                            )
-                                      }
-                                      duplicateKey={errorDuplicateKey}
-                                      onChange={(newValue) => {
-                                        const valueToNumbers =
-                                          convertValuesToNumbers(newValue);
-                                        myData.node!.template[
-                                          templateParam
-                                        ].value = valueToNumbers;
-                                        setErrorDuplicateKey(
-                                          hasDuplicateKeys(valueToNumbers)
-                                        );
-                                        handleOnNewValue(
-                                          valueToNumbers,
-                                          templateParam
-                                        );
-                                      }}
-                                    />
-                                  </div>
-                                ) : myData.node?.template[templateParam]
-                                    .type === "bool" ? (
-                                  <div className="ml-auto">
-                                    {" "}
-                                    <ToggleShadComponent
-                                      id={"toggle-edit-" + index}
-                                      disabled={disabled}
-                                      enabled={
-                                        myData.node.template[templateParam]
-                                          .value
-                                      }
-                                      setEnabled={(isEnabled) => {
-                                        handleOnNewValue(
-                                          isEnabled,
-                                          templateParam
-                                        );
-                                      }}
-                                      size="small"
-                                    />
-                                  </div>
-                                ) : myData.node?.template[templateParam]
-                                    .type === "float" ? (
-                                  <div className="mx-auto">
-                                    <FloatComponent
-                                      disabled={disabled}
-                                      editNode={true}
-                                      rangeSpec={
-                                        myData.node!.template[templateParam]
-                                          .rangeSpec
-                                      }
-                                      value={
-                                        myData.node.template[templateParam]
-                                          .value ?? ""
-                                      }
-                                      onChange={(value) => {
-                                        handleOnNewValue(value, templateParam);
-                                      }}
-                                    />
-                                  </div>
-                                ) : myData.node?.template[templateParam]
-                                    .type === "str" &&
-                                  myData.node.template[templateParam]
-                                    .options ? (
-                                  <div className="mx-auto">
-                                    <Dropdown
-                                      numberOfOptions={nodeLength}
-                                      editNode={true}
-                                      options={
-                                        myData.node.template[templateParam]
-                                          .options
-                                      }
-                                      onSelect={(value) =>
-                                        handleOnNewValue(value, templateParam)
-                                      }
-                                      value={
-                                        myData.node.template[templateParam]
-                                          .value ?? "Choose an option"
-                                      }
-                                      id={"dropdown-edit-" + index}
-                                    ></Dropdown>
-                                  </div>
-                                ) : myData.node?.template[templateParam]
-                                    .type === "int" ? (
-                                  <div className="mx-auto">
-                                    <IntComponent
-                                      id={"edit-int-input-" + index}
-                                      disabled={disabled}
-                                      editNode={true}
-                                      value={
-                                        myData.node.template[templateParam]
-                                          .value ?? ""
-                                      }
-                                      onChange={(value) => {
-                                        handleOnNewValue(value, templateParam);
-                                      }}
-                                    />
-                                  </div>
-                                ) : myData.node?.template[templateParam]
-                                    .type === "file" ? (
-                                  <div className="mx-auto">
-                                    <InputFileComponent
-                                      editNode={true}
-                                      disabled={disabled}
-                                      value={
-                                        myData.node.template[templateParam]
-                                          .value ?? ""
-                                      }
-                                      onChange={(value: string | string[]) => {
-                                        handleOnNewValue(value, templateParam);
-                                      }}
-                                      fileTypes={
-                                        myData.node.template[templateParam]
-                                          .fileTypes
-                                      }
-                                      onFileChange={(filePath: string) => {
-                                        data.node!.template[
-                                          templateParam
-                                        ].file_path = filePath;
-                                      }}
-                                    ></InputFileComponent>
-                                  </div>
-                                ) : myData.node?.template[templateParam]
-                                    .type === "prompt" ? (
-                                  <div className="mx-auto">
-                                    <PromptAreaComponent
-                                      readonly={
-                                        myData.node?.flow ? true : false
-                                      }
-                                      field_name={templateParam}
-                                      editNode={true}
-                                      disabled={disabled}
-                                      nodeClass={myData.node}
-                                      setNodeClass={(nodeClass) => {
-                                        myData.node = nodeClass;
-                                      }}
-                                      value={
-                                        myData.node.template[templateParam]
-                                          .value ?? ""
-                                      }
-                                      onChange={(value: string | string[]) => {
-                                        handleOnNewValue(value, templateParam);
-                                      }}
-                                      id={
-                                        "prompt-area-edit-" +
-                                        myData.node.template[templateParam].name
-                                      }
-                                      data-testid={
-                                        "modal-prompt-input-" +
-                                        myData.node.template[templateParam].name
-                                      }
-                                    />
-                                  </div>
-                                ) : myData.node?.template[templateParam]
-                                    .type === "code" ? (
-                                  <div className="mx-auto">
-                                    <CodeAreaComponent
-                                      readonly={
-                                        myData.node?.flow &&
-                                        myData.node.template[templateParam]
-                                          .dynamic
-                                          ? true
-                                          : false
-                                      }
-                                      dynamic={
-                                        data.node!.template[templateParam]
-                                          .dynamic ?? false
-                                      }
-                                      setNodeClass={(nodeClass) => {
-                                        data.node = nodeClass;
-                                      }}
-                                      nodeClass={data.node}
-                                      disabled={disabled}
-                                      editNode={true}
-                                      value={
-                                        myData.node.template[templateParam]
-                                          .value ?? ""
-                                      }
-                                      onChange={(value: string | string[]) => {
-                                        handleOnNewValue(value, templateParam);
-                                      }}
-                                      id={"code-area-edit" + index}
-                                    />
-                                  </div>
-                                ) : myData.node?.template[templateParam]
-                                    .type === "Any" ? (
-                                  "-"
-                                ) : (
-                                  <div className="hidden"></div>
-                                )}
-                              </TableCell>
-                              <TableCell className="p-0 text-right">
-                                <div className="items-center text-center">
-                                  <ToggleShadComponent
-                                    id={
-                                      "show" +
-                                      myData.node?.template[templateParam].name
-                                    }
-                                    enabled={
-                                      !myData.node?.template[templateParam]
-                                        .advanced
-                                    }
-                                    setEnabled={(e) => {
-                                      changeAdvanced(templateParam);
-                                    }}
-                                    disabled={disabled}
-                                    size="small"
-                                  />
-                                </div>
-                              </TableCell>
-                            </TableRow>
-                          );
-                        })}
-                    </TableBody>
-                  </Table>
-                </div>
-              )}
-            </div>
-          </div>
-        </BaseModal.Content>
-
-        <BaseModal.Footer>
-          <Button
-            id={"saveChangesBtn"}
-            className="mt-3"
-            onClick={() => {
-              setNode(data.id, (old) => ({
-                ...old,
-                data: {
-                  ...old.data,
-                  node: myData.node,
-                },
-              }));
-              setPending(true);
-              setOpen(false);
-            }}
-            type="submit"
-          >
-            Save Changes
-          </Button>
-        </BaseModal.Footer>
-      </BaseModal>
-    );
-  }
-);
-
-export default EditNodeModal;
diff --git a/src/frontend/src/modals/IOModal/components/IOFieldView/components/FileInput/index.tsx b/src/frontend/src/modals/IOModal/components/IOFieldView/components/FileInput/index.tsx
new file mode 100644
index 00000000000..465de179f62
--- /dev/null
+++ b/src/frontend/src/modals/IOModal/components/IOFieldView/components/FileInput/index.tsx
@@ -0,0 +1,150 @@
+import { Button } from "../../../../../../components/ui/button";
+
+import { useEffect, useState } from "react";
+import IconComponent from "../../../../../../components/genericIconComponent";
+import { BASE_URL_API } from "../../../../../../constants/constants";
+import { uploadFile } from "../../../../../../controllers/API";
+import useFlowsManagerStore from "../../../../../../stores/flowsManagerStore";
+import { IOFileInputProps } from "../../../../../../types/components";
+
+export default function IOFileInput({ field, updateValue }: IOFileInputProps) {
+  //component to handle file upload from chatIO
+  const currentFlowId = useFlowsManagerStore((state) => state.currentFlowId);
+
+  const [isDragging, setIsDragging] = useState(false);
+  const [filePath, setFilePath] = useState("");
+  const [image, setImage] = useState<string | null>(null);
+
+  useEffect(() => {
+    if (filePath) {
+      updateValue(filePath, "file");
+    }
+  }, [filePath]);
+
+  useEffect(() => {
+    if (field) {
+      const fileName = field.split("/")[1];
+      const flowFileId = currentFlowId.toString();
+      setImage(`${BASE_URL_API}files/images/${flowFileId}/${fileName}`);
+    }
+  }, []);
+
+  const dragOver = (e) => {
+    e.preventDefault();
+    if (e.dataTransfer.types.some((types) => types === "Files")) {
+      setIsDragging(true);
+    }
+  };
+
+  const dragEnter = (e) => {
+    if (e.dataTransfer.types.some((types) => types === "Files")) {
+      setIsDragging(true);
+    }
+    e.preventDefault();
+  };
+
+  const dragLeave = (e) => {
+    e.preventDefault();
+    setIsDragging(false);
+  };
+
+  const onDrop = (e) => {
+    e.preventDefault();
+
+    if (e.dataTransfer.files.length > 0) {
+      const file = e.dataTransfer.files[0];
+
+      upload(file);
+
+      const fileReader = new FileReader();
+      fileReader.onload = (event) => {
+        const imageDataUrl = event.target?.result as string;
+        setImage(imageDataUrl);
+      };
+      fileReader.readAsDataURL(file);
+    }
+    setIsDragging(false);
+  };
+
+  const upload = async (file) => {
+    if (file) {
+      // Check if a file was selected
+      const fileReader = new FileReader();
+      fileReader.onload = (event) => {
+        const imageDataUrl = event.target?.result as string;
+        setImage(imageDataUrl);
+
+        // Display the image on the screen
+        const imgElement = document.createElement("img");
+        imgElement.src = imageDataUrl;
+        document.body.appendChild(imgElement); // Add the image to the body or replace this with your desired location
+      };
+      fileReader.readAsDataURL(file);
+
+      uploadFile(file, currentFlowId)
+        .then((res) => res.data)
+        .then((data) => {
+          // Get the file name from the response
+          const { file_path, flowId } = data;
+          setFilePath(file_path);
+        })
+        .catch(() => {
+          console.error("Error occurred while uploading file");
+        });
+    }
+  };
+
+  const handleButtonClick = (): void => {
+    // Create a file input element
+    const input = document.createElement("input");
+    input.type = "file";
+    input.style.display = "none"; // Hidden from view
+    input.multiple = false; // Allow only one file selection
+    input.onchange = (event: Event): void => {
+      // Get the selected file
+      const file = (event.target as HTMLInputElement).files?.[0];
+      upload(file);
+    };
+    // Trigger the file selection dialog
+    input.click();
+  };
+
+  return (
+    <>
+      <div
+        onDragOver={dragOver}
+        onDragEnter={dragEnter}
+        onDragLeave={dragLeave}
+        onDrop={onDrop}
+        className={
+          "flex h-full w-full items-center justify-between" +
+          (isDragging
+            ? "flex h-28 flex-col items-center justify-center gap-4 text-xs font-light"
+            : "")
+        }
+      >
+        {!isDragging && (
+          <Button variant="primary" onClick={handleButtonClick}>
+            Upload or drop your file
+          </Button>
+        )}
+
+        {isDragging ? (
+          <>
+            <IconComponent name="ArrowUpToLine" className="h-5 w-5 stroke-1" />
+            "Drop your file here"
+          </>
+        ) : image ? (
+          <img
+            className="order-last h-12 w-12 rounded-full object-cover"
+            src={image ?? ""}
+          />
+        ) : (
+          <>
+            <IconComponent name="SunIcon" className="h-8 w-8 stroke-1" />
+          </>
+        )}
+      </div>
+    </>
+  );
+}
diff --git a/src/frontend/src/modals/IOModal/components/IOFieldView/components/JSONInput/index.tsx b/src/frontend/src/modals/IOModal/components/IOFieldView/components/JSONInput/index.tsx
new file mode 100644
index 00000000000..25ed5a099d5
--- /dev/null
+++ b/src/frontend/src/modals/IOModal/components/IOFieldView/components/JSONInput/index.tsx
@@ -0,0 +1,45 @@
+import { useEffect, useRef } from "react";
+import JsonView from "react18-json-view";
+import { useDarkStore } from "../../../../../../stores/darkStore";
+import { DictComponentType } from "../../../../../../types/components";
+
+export default function IoJsonInput({
+  value = [],
+  onChange,
+  left,
+  output,
+}: DictComponentType): JSX.Element {
+  useEffect(() => {
+    if (value) onChange(value);
+  }, [value]);
+  const isDark = useDarkStore((state) => state.dark);
+
+  const ref = useRef<any>(null);
+  ref.current = value;
+
+  const getClassNames = () => {
+    if (!isDark && !left) return "json-view-playground-white";
+    if (!isDark && left) return "json-view-playground-white-left";
+    if (isDark && left) return "json-view-playground-dark-left";
+    if (isDark && !left) return "json-view-playground-dark";
+  };
+
+  return (
+    <div className="w-full">
+      <JsonView
+        className={getClassNames()}
+        theme="vscode"
+        dark={isDark}
+        editable={!output}
+        enableClipboard
+        onEdit={(edit) => {
+          ref.current = edit["src"];
+        }}
+        onChange={(edit) => {
+          ref.current = edit["src"];
+        }}
+        src={ref.current}
+      />
+    </div>
+  );
+}
diff --git a/src/frontend/src/modals/IOModal/components/IOFieldView/components/csvSelect/index.tsx b/src/frontend/src/modals/IOModal/components/IOFieldView/components/csvSelect/index.tsx
new file mode 100644
index 00000000000..5adb156ef35
--- /dev/null
+++ b/src/frontend/src/modals/IOModal/components/IOFieldView/components/csvSelect/index.tsx
@@ -0,0 +1,40 @@
+import {
+  Select,
+  SelectContent,
+  SelectGroup,
+  SelectItem,
+  SelectTrigger,
+  SelectValue,
+} from "../../../../../../components/ui/select";
+
+export default function CsvSelect({ node, handleChangeSelect }): JSX.Element {
+  return (
+    <>
+      <div className="flex justify-between">
+        Expand the ouptut to see the CSV
+      </div>
+      <div className="flex items-center justify-between pt-5">
+        <span>CSV separator </span>
+        <Select
+          value={node.data.node.template.separator.value}
+          onValueChange={(e) => handleChangeSelect(e)}
+        >
+          <SelectTrigger className="w-[70px]">
+            <SelectValue />
+          </SelectTrigger>
+          <SelectContent>
+            <SelectGroup>
+              {node?.data?.node?.template?.separator?.options.map(
+                (separator) => (
+                  <SelectItem key={separator} value={separator}>
+                    {separator}
+                  </SelectItem>
+                ),
+              )}
+            </SelectGroup>
+          </SelectContent>
+        </Select>
+      </div>
+    </>
+  );
+}
diff --git a/src/frontend/src/modals/IOModal/components/IOFieldView/components/keyPairInput/index.tsx b/src/frontend/src/modals/IOModal/components/IOFieldView/components/keyPairInput/index.tsx
new file mode 100644
index 00000000000..2e95e78ef17
--- /dev/null
+++ b/src/frontend/src/modals/IOModal/components/IOFieldView/components/keyPairInput/index.tsx
@@ -0,0 +1,107 @@
+import _ from "lodash";
+import { useRef } from "react";
+import IconComponent from "../../../../../../components/genericIconComponent";
+import { Input } from "../../../../../../components/ui/input";
+import { classNames } from "../../../../../../utils/utils";
+
+export type IOKeyPairInputProps = {
+  value: any;
+  onChange: (value: any) => void;
+  duplicateKey: boolean;
+  isList: boolean;
+  isInputField?: boolean;
+};
+
+const IOKeyPairInput = ({
+  value,
+  onChange,
+  duplicateKey,
+  isList = true,
+  isInputField,
+}: IOKeyPairInputProps) => {
+  const checkValueType = (value) => {
+    return Array.isArray(value) ? value : [value];
+  };
+
+  const ref = useRef<any>([]);
+  ref.current =
+    !value || value?.length === 0 ? [{ "": "" }] : checkValueType(value);
+
+  const handleChangeKey = (event, idx) => {
+    const oldKey = Object.keys(ref.current[idx])[0];
+    const updatedObj = { [event.target.value]: ref.current[idx][oldKey] };
+    ref.current[idx] = updatedObj;
+    onChange(ref.current);
+  };
+
+  const handleChangeValue = (newValue, idx) => {
+    const key = Object.keys(ref.current[idx])[0];
+    ref.current[idx][key] = newValue;
+    onChange(ref.current);
+  };
+
+  return (
+    <>
+      <div className={classNames("flex h-full flex-col gap-3")}>
+        {ref.current?.map((obj, index) => {
+          return Object.keys(obj).map((key, idx) => {
+            return (
+              <div key={idx} className="flex w-full gap-2">
+                <Input
+                  type="text"
+                  value={key.trim()}
+                  className={classNames(duplicateKey ? "input-invalid" : "")}
+                  placeholder="Type key..."
+                  onChange={(event) => handleChangeKey(event, index)}
+                  disabled={!isInputField}
+                />
+
+                <Input
+                  type="text"
+                  value={obj[key]}
+                  placeholder="Type a value..."
+                  onChange={(event) =>
+                    handleChangeValue(event.target.value, index)
+                  }
+                  disabled={!isInputField}
+                />
+
+                {isList && isInputField && index === ref.current.length - 1 ? (
+                  <button
+                    onClick={() => {
+                      let newInputList = _.cloneDeep(ref.current);
+                      newInputList.push({ "": "" });
+                      onChange(newInputList);
+                    }}
+                  >
+                    <IconComponent
+                      name="Plus"
+                      className={"h-4 w-4 hover:text-accent-foreground"}
+                    />
+                  </button>
+                ) : isList && isInputField ? (
+                  <button
+                    onClick={() => {
+                      let newInputList = _.cloneDeep(ref.current);
+                      newInputList.splice(index, 1);
+                      onChange(newInputList);
+                    }}
+                  >
+                    <IconComponent
+                      name="X"
+                      className="h-4 w-4 hover:text-status-red"
+                    />
+                  </button>
+                ) : (
+                  ""
+                )}
+              </div>
+            );
+          });
+        })}
+      </div>
+    </>
+  );
+};
+
+export default IOKeyPairInput;
diff --git a/src/frontend/src/modals/IOModal/components/IOFieldView/index.tsx b/src/frontend/src/modals/IOModal/components/IOFieldView/index.tsx
new file mode 100644
index 00000000000..1ae4383d766
--- /dev/null
+++ b/src/frontend/src/modals/IOModal/components/IOFieldView/index.tsx
@@ -0,0 +1,287 @@
+import { cloneDeep } from "lodash";
+import { useState } from "react";
+import ImageViewer from "../../../../components/ImageViewer";
+import CsvOutputComponent from "../../../../components/csvOutputComponent";
+import DataOutputComponent from "../../../../components/dataOutputComponent";
+import InputListComponent from "../../../../components/inputListComponent";
+import PdfViewer from "../../../../components/pdfViewer";
+import { Textarea } from "../../../../components/ui/textarea";
+import { PDFViewConstant } from "../../../../constants/constants";
+import { InputOutput } from "../../../../constants/enums";
+import TextOutputView from "../../../../shared/components/textOutputView";
+import useFlowStore from "../../../../stores/flowStore";
+import { IOFieldViewProps } from "../../../../types/components";
+import {
+  convertValuesToNumbers,
+  hasDuplicateKeys,
+} from "../../../../utils/reactflowUtils";
+import IOFileInput from "./components/FileInput";
+import IoJsonInput from "./components/JSONInput";
+import CsvSelect from "./components/csvSelect";
+import IOKeyPairInput from "./components/keyPairInput";
+
+export default function IOFieldView({
+  type,
+  fieldType,
+  fieldId,
+  left,
+}: IOFieldViewProps): JSX.Element | undefined {
+  const nodes = useFlowStore((state) => state.nodes);
+  const setNode = useFlowStore((state) => state.setNode);
+  const flowPool = useFlowStore((state) => state.flowPool);
+  const node = nodes.find((node) => node.id === fieldId);
+  const flowPoolNode = (flowPool[node!.id] ?? [])[
+    (flowPool[node!.id]?.length ?? 1) - 1
+  ];
+  const handleChangeSelect = (e) => {
+    if (node) {
+      let newNode = cloneDeep(node);
+      if (newNode.data.node.template.separator) {
+        newNode.data.node.template.separator.value = e;
+        setNode(newNode.id, newNode);
+      }
+    }
+  };
+
+  const [errorDuplicateKey, setErrorDuplicateKey] = useState(false);
+
+  const textOutputValue =
+    (flowPool[node!.id] ?? [])[(flowPool[node!.id]?.length ?? 1) - 1]?.data
+      .results.text ?? "";
+
+  function handleOutputType() {
+    if (!node) return <>"No node found!"</>;
+    switch (type) {
+      case InputOutput.INPUT:
+        switch (fieldType) {
+          case "TextInput":
+            return (
+              <Textarea
+                className={`w-full custom-scroll ${
+                  left ? "min-h-32" : "h-full"
+                }`}
+                placeholder={"Enter text..."}
+                value={node.data.node!.template["input_value"].value}
+                onChange={(e) => {
+                  e.target.value;
+                  if (node) {
+                    let newNode = cloneDeep(node);
+                    newNode.data.node!.template["input_value"].value =
+                      e.target.value;
+                    setNode(node.id, newNode);
+                  }
+                }}
+              />
+            );
+          case "FileLoader":
+            return (
+              <IOFileInput
+                field={node.data.node!.template["file_path"]["value"]}
+                updateValue={(e) => {
+                  if (node) {
+                    let newNode = cloneDeep(node);
+                    newNode.data.node!.template["file_path"].value = e;
+                    setNode(node.id, newNode);
+                  }
+                }}
+              />
+            );
+
+          case "KeyPairInput":
+            return (
+              <IOKeyPairInput
+                value={node.data.node!.template["input_value"]?.value}
+                onChange={(e) => {
+                  if (node) {
+                    let newNode = cloneDeep(node);
+                    newNode.data.node!.template["input_value"].value = e;
+                    setNode(node.id, newNode);
+                  }
+                  const valueToNumbers = convertValuesToNumbers(e);
+                  setErrorDuplicateKey(hasDuplicateKeys(valueToNumbers));
+                }}
+                duplicateKey={errorDuplicateKey}
+                isList={node.data.node!.template["input_value"]?.list ?? false}
+                isInputField
+              />
+            );
+
+          case "JsonInput":
+            return (
+              <IoJsonInput
+                value={node.data.node!.template["input_value"]?.value}
+                onChange={(e) => {
+                  if (node) {
+                    let newNode = cloneDeep(node);
+                    newNode.data.node!.template["input_value"].value = e;
+                    setNode(node.id, newNode);
+                  }
+                }}
+                left={left}
+              />
+            );
+
+          case "StringListInput":
+            return (
+              <>
+                <InputListComponent
+                  value={node.data.node!.template["input_value"]?.value}
+                  onChange={(e) => {
+                    if (node) {
+                      let newNode = cloneDeep(node);
+                      newNode.data.node!.template["input_value"].value = e;
+                      setNode(node.id, newNode);
+                    }
+                  }}
+                  disabled={false}
+                />
+              </>
+            );
+
+          default:
+            return (
+              <Textarea
+                className={`w-full custom-scroll ${
+                  left ? "min-h-32" : "h-full"
+                }`}
+                placeholder={"Enter text..."}
+                value={node.data.node!.template["input_value"]}
+                onChange={(e) => {
+                  e.target.value;
+                  if (node) {
+                    let newNode = cloneDeep(node);
+                    newNode.data.node!.template["input_value"].value =
+                      e.target.value;
+                    setNode(node.id, newNode);
+                  }
+                }}
+              />
+            );
+        }
+      case InputOutput.OUTPUT:
+        switch (fieldType) {
+          case "TextOutput":
+            return <TextOutputView left={left} value={textOutputValue} />;
+          case "PDFOutput":
+            return left ? (
+              <div>{PDFViewConstant}</div>
+            ) : (
+              <PdfViewer pdf={flowPoolNode?.params ?? ""} />
+            );
+          case "CSVOutput":
+            return left ? (
+              <>
+                <CsvSelect
+                  node={node}
+                  handleChangeSelect={handleChangeSelect}
+                />
+              </>
+            ) : (
+              <>
+                <CsvOutputComponent csvNode={node} flowPool={flowPoolNode} />
+              </>
+            );
+          case "ImageOutput":
+            return left ? (
+              <div>Expand the view to see the image</div>
+            ) : (
+              <ImageViewer
+                image={
+                  (flowPool[node.id] ?? [])[
+                    (flowPool[node.id]?.length ?? 1) - 1
+                  ]?.params ?? ""
+                }
+              />
+            );
+
+          case "JsonOutput":
+            return (
+              <IoJsonInput
+                value={node.data.node!.template["input_value"]?.value}
+                onChange={(e) => {
+                  if (node) {
+                    let newNode = cloneDeep(node);
+                    newNode.data.node!.template["input_value"].value = e;
+                    setNode(node.id, newNode);
+                  }
+                }}
+                left={left}
+                output
+              />
+            );
+
+          case "KeyPairOutput":
+            return (
+              <IOKeyPairInput
+                value={node.data.node!.template["input_value"]?.value}
+                onChange={(e) => {
+                  if (node) {
+                    let newNode = cloneDeep(node);
+                    newNode.data.node!.template["input_value"].value = e;
+                    setNode(node.id, newNode);
+                  }
+                  const valueToNumbers = convertValuesToNumbers(e);
+                  setErrorDuplicateKey(hasDuplicateKeys(valueToNumbers));
+                }}
+                duplicateKey={errorDuplicateKey}
+                isList={node.data.node!.template["input_value"]?.list ?? false}
+              />
+            );
+
+          case "StringListOutput":
+            return (
+              <>
+                <InputListComponent
+                  value={node.data.node!.template["input_value"]?.value}
+                  onChange={(e) => {
+                    if (node) {
+                      let newNode = cloneDeep(node);
+                      newNode.data.node!.template["input_value"].value = e;
+                      setNode(node.id, newNode);
+                    }
+                  }}
+                  playgroundDisabled
+                  disabled={false}
+                />
+              </>
+            );
+          case "DataOutput":
+            return (
+              <div className={left ? "h-56" : "h-full"}>
+                <DataOutputComponent
+                  pagination={!left}
+                  rows={
+                    Array.isArray(flowPoolNode?.data?.artifacts)
+                      ? flowPoolNode?.data?.artifacts?.map(
+                          (artifact) => artifact.data,
+                        ) ?? []
+                      : [flowPoolNode?.data?.artifacts]
+                  }
+                  columnMode="union"
+                />
+              </div>
+            );
+
+          default:
+            return (
+              <Textarea
+                className={`w-full custom-scroll ${
+                  left ? "min-h-32" : "h-full"
+                }`}
+                placeholder={"Empty"}
+                // update to real value on flowPool
+                value={
+                  (flowPool[node.id] ?? [])[
+                    (flowPool[node.id]?.length ?? 1) - 1
+                  ]?.data.results.result ?? ""
+                }
+                readOnly
+              />
+            );
+        }
+      default:
+        break;
+    }
+  }
+  return handleOutputType();
+}
diff --git a/src/frontend/src/modals/IOModal/components/SessionView/hooks/index.tsx b/src/frontend/src/modals/IOModal/components/SessionView/hooks/index.tsx
new file mode 100644
index 00000000000..e8e638def26
--- /dev/null
+++ b/src/frontend/src/modals/IOModal/components/SessionView/hooks/index.tsx
@@ -0,0 +1,29 @@
+import { deleteMessagesFn } from "../../../../../controllers/API";
+import { useMessagesStore } from "../../../../../stores/messagesStore";
+
+const useRemoveSession = (setSuccessData, setErrorData) => {
+  const deleteSession = useMessagesStore((state) => state.deleteSession);
+  const messages = useMessagesStore((state) => state.messages);
+
+  const handleRemoveSession = async (session_id: string) => {
+    try {
+      await deleteMessagesFn(
+        messages
+          .filter((msg) => msg.session_id === session_id)
+          .map((msg) => msg.index),
+      );
+      deleteSession(session_id);
+      setSuccessData({
+        title: "Session deleted successfully.",
+      });
+    } catch (error) {
+      setErrorData({
+        title: "Error deleting Session.",
+      });
+    }
+  };
+
+  return { handleRemoveSession };
+};
+
+export default useRemoveSession;
diff --git a/src/frontend/src/modals/IOModal/components/SessionView/index.tsx b/src/frontend/src/modals/IOModal/components/SessionView/index.tsx
new file mode 100644
index 00000000000..2ea6ef60654
--- /dev/null
+++ b/src/frontend/src/modals/IOModal/components/SessionView/index.tsx
@@ -0,0 +1,64 @@
+import {
+  CellEditRequestEvent,
+  NewValueParams,
+  SelectionChangedEvent,
+} from "ag-grid-community";
+import cloneDeep from "lodash/cloneDeep";
+import { useState } from "react";
+import TableComponent from "../../../../components/tableComponent";
+import useRemoveMessages from "../../../../pages/SettingsPage/pages/messagesPage/hooks/use-remove-messages";
+import useUpdateMessage from "../../../../pages/SettingsPage/pages/messagesPage/hooks/use-updateMessage";
+import useAlertStore from "../../../../stores/alertStore";
+import { useMessagesStore } from "../../../../stores/messagesStore";
+import { messagesSorter } from "../../../../utils/utils";
+
+export default function SessionView({ rows }: { rows: Array<any> }) {
+  const columns = useMessagesStore((state) => state.columns);
+  const setErrorData = useAlertStore((state) => state.setErrorData);
+  const setSuccessData = useAlertStore((state) => state.setSuccessData);
+
+  const [selectedRows, setSelectedRows] = useState<number[]>([]);
+
+  const { handleRemoveMessages } = useRemoveMessages(
+    setSelectedRows,
+    setSuccessData,
+    setErrorData,
+    selectedRows,
+  );
+
+  const { handleUpdate } = useUpdateMessage(setSuccessData, setErrorData);
+
+  function handleUpdateMessage(event: NewValueParams<any, string>) {
+    const newValue = event.newValue;
+    const field = event.column.getColId();
+    const row = cloneDeep(event.data);
+    const data = {
+      ...row,
+      [field]: newValue,
+    };
+    handleUpdate(data).catch((error) => {
+      event.data[field] = event.oldValue;
+      event.api.refreshCells();
+    });
+  }
+
+  return (
+    <TableComponent
+      key={"sessionView"}
+      onDelete={handleRemoveMessages}
+      readOnlyEdit
+      editable={[
+        { field: "text", onUpdate: handleUpdateMessage, editableCell: false },
+      ]}
+      overlayNoRowsTemplate="No data available"
+      onSelectionChanged={(event: SelectionChangedEvent) => {
+        setSelectedRows(event.api.getSelectedRows().map((row) => row.index));
+      }}
+      rowSelection="multiple"
+      suppressRowClickSelection={true}
+      pagination={true}
+      columnDefs={columns.sort(messagesSorter)}
+      rowData={rows}
+    />
+  );
+}
diff --git a/src/frontend/src/modals/IOModal/components/chatView/chatInput/components/buttonSendWrapper/index.tsx b/src/frontend/src/modals/IOModal/components/chatView/chatInput/components/buttonSendWrapper/index.tsx
new file mode 100644
index 00000000000..81f42675c2a
--- /dev/null
+++ b/src/frontend/src/modals/IOModal/components/chatView/chatInput/components/buttonSendWrapper/index.tsx
@@ -0,0 +1,74 @@
+import IconComponent from "../../../../../../../components/genericIconComponent";
+import { Button } from "../../../../../../../components/ui/button";
+import { Case } from "../../../../../../../shared/components/caseComponent";
+import { FilePreviewType } from "../../../../../../../types/components";
+import { classNames } from "../../../../../../../utils/utils";
+
+type ButtonSendWrapperProps = {
+  send: () => void;
+  lockChat: boolean;
+  noInput: boolean;
+  saveLoading: boolean;
+  chatValue: string;
+  files: FilePreviewType[];
+};
+
+const ButtonSendWrapper = ({
+  send,
+  lockChat,
+  noInput,
+  saveLoading,
+  chatValue,
+  files,
+}: ButtonSendWrapperProps) => {
+  return (
+    <Button
+      className={classNames(
+        "form-modal-send-button",
+        noInput
+          ? "bg-high-indigo text-background"
+          : chatValue
+            ? "text-primary"
+            : "bg-chat-send text-background",
+      )}
+      disabled={lockChat || saveLoading}
+      onClick={(): void => send()}
+      unstyled
+    >
+      <Case
+        condition={
+          lockChat || saveLoading || files.some((file) => file.loading)
+        }
+      >
+        <IconComponent
+          name="Lock"
+          className="form-modal-lock-icon"
+          aria-hidden="true"
+        />
+      </Case>
+
+      <Case condition={noInput && !lockChat}>
+        <IconComponent
+          name="Zap"
+          className="form-modal-play-icon"
+          aria-hidden="true"
+        />
+      </Case>
+
+      <Case
+        condition={
+          !(lockChat || saveLoading || files.some((file) => file.loading)) &&
+          !noInput
+        }
+      >
+        <IconComponent
+          name="LucideSend"
+          className="form-modal-send-icon"
+          aria-hidden="true"
+        />
+      </Case>
+    </Button>
+  );
+};
+
+export default ButtonSendWrapper;
diff --git a/src/frontend/src/modals/IOModal/components/chatView/chatInput/components/textAreaWrapper/index.tsx b/src/frontend/src/modals/IOModal/components/chatView/chatInput/components/textAreaWrapper/index.tsx
new file mode 100644
index 00000000000..29f88453a7b
--- /dev/null
+++ b/src/frontend/src/modals/IOModal/components/chatView/chatInput/components/textAreaWrapper/index.tsx
@@ -0,0 +1,81 @@
+import { Textarea } from "../../../../../../../components/ui/textarea";
+import { classNames } from "../../../../../../../utils/utils";
+
+const TextAreaWrapper = ({
+  checkSendingOk,
+  send,
+  lockChat,
+  noInput,
+  saveLoading,
+  chatValue,
+  setChatValue,
+  CHAT_INPUT_PLACEHOLDER,
+  CHAT_INPUT_PLACEHOLDER_SEND,
+  inputRef,
+  setInputFocus,
+  files,
+  isDragging,
+}) => {
+  const getPlaceholderText = (
+    isDragging: boolean,
+    noInput: boolean,
+  ): string => {
+    if (isDragging) {
+      return "Drop here";
+    } else if (noInput) {
+      return CHAT_INPUT_PLACEHOLDER;
+    } else {
+      return CHAT_INPUT_PLACEHOLDER_SEND;
+    }
+  };
+
+  const lockClass =
+    lockChat || saveLoading
+      ? "form-modal-lock-true bg-input"
+      : noInput
+        ? "form-modal-no-input bg-input"
+        : "form-modal-lock-false bg-background";
+
+  const fileClass =
+    files.length > 0
+      ? "rounded-b-lg ring-0 focus:ring-0 focus:border-2 rounded-t-none border-t-0 border-border focus:border-t-0 focus:border-ring"
+      : "rounded-md border-t border-border focus:ring-0 focus:border-2 focus:border-ring";
+
+  const additionalClassNames = "form-modal-lockchat pl-14";
+
+  return (
+    <Textarea
+      onFocus={(e) => {
+        setInputFocus(true);
+        e.target.style.borderTopWidth = "0";
+      }}
+      onBlur={() => setInputFocus(false)}
+      onKeyDown={(event) => {
+        if (checkSendingOk(event)) {
+          send();
+        }
+      }}
+      rows={1}
+      ref={inputRef}
+      disabled={lockChat || noInput || saveLoading}
+      style={{
+        resize: "none",
+        bottom: `${inputRef?.current?.scrollHeight}px`,
+        maxHeight: "150px",
+        overflow: `${
+          inputRef.current && inputRef.current.scrollHeight > 150
+            ? "auto"
+            : "hidden"
+        }`,
+      }}
+      value={lockChat ? "Thinking..." : saveLoading ? "Saving..." : chatValue}
+      onChange={(event): void => {
+        setChatValue(event.target.value);
+      }}
+      className={classNames(lockClass, fileClass, additionalClassNames)}
+      placeholder={getPlaceholderText(isDragging, noInput)}
+    />
+  );
+};
+
+export default TextAreaWrapper;
diff --git a/src/frontend/src/modals/IOModal/components/chatView/chatInput/components/uploadFileButton/index.tsx b/src/frontend/src/modals/IOModal/components/chatView/chatInput/components/uploadFileButton/index.tsx
new file mode 100644
index 00000000000..8876c4517d4
--- /dev/null
+++ b/src/frontend/src/modals/IOModal/components/chatView/chatInput/components/uploadFileButton/index.tsx
@@ -0,0 +1,33 @@
+import ForwardedIconComponent from "../../../../../../../components/genericIconComponent";
+import { Button } from "../../../../../../../components/ui/button";
+
+const UploadFileButton = ({
+  fileInputRef,
+  handleFileChange,
+  handleButtonClick,
+  lockChat,
+}) => {
+  return (
+    <div>
+      <input
+        disabled={lockChat}
+        type="file"
+        ref={fileInputRef}
+        style={{ display: "none" }}
+        onChange={handleFileChange}
+      />
+      <Button
+        disabled={lockChat}
+        className={`font-bold text-white transition-all ${
+          lockChat ? "cursor-not-allowed" : "hover:text-muted-foreground"
+        }`}
+        onClick={handleButtonClick}
+        unstyled
+      >
+        <ForwardedIconComponent name="PaperclipIcon" />
+      </Button>
+    </div>
+  );
+};
+
+export default UploadFileButton;
diff --git a/src/frontend/src/modals/IOModal/components/chatView/chatInput/helpers/get-class-file-preview.ts b/src/frontend/src/modals/IOModal/components/chatView/chatInput/helpers/get-class-file-preview.ts
new file mode 100644
index 00000000000..7e957f58605
--- /dev/null
+++ b/src/frontend/src/modals/IOModal/components/chatView/chatInput/helpers/get-class-file-preview.ts
@@ -0,0 +1,7 @@
+export const getClassNamesFilePreview = (inputFocus) => {
+  return `flex w-full items-center gap-4 rounded-t-lg bg-background px-14 py-5 overflow-auto custom-scroll ${
+    inputFocus
+      ? "border border-b-0 border-ring border-2"
+      : "border border-b-0 border-border"
+  }`;
+};
diff --git a/src/frontend/src/modals/IOModal/components/chatView/chatInput/hooks/use-auto-resize-text-area.tsx b/src/frontend/src/modals/IOModal/components/chatView/chatInput/hooks/use-auto-resize-text-area.tsx
new file mode 100644
index 00000000000..d4102fe9d99
--- /dev/null
+++ b/src/frontend/src/modals/IOModal/components/chatView/chatInput/hooks/use-auto-resize-text-area.tsx
@@ -0,0 +1,14 @@
+import { useEffect } from "react";
+
+const useAutoResizeTextArea = (value, inputRef) => {
+  useEffect(() => {
+    if (inputRef.current && inputRef.current.scrollHeight! !== 0) {
+      inputRef.current.style!.height = "inherit"; // Reset the height
+      inputRef.current.style!.height = `${inputRef.current.scrollHeight!}px`; // Set it to the scrollHeight
+    }
+  }, [value]);
+
+  return inputRef;
+};
+
+export default useAutoResizeTextArea;
diff --git a/src/frontend/src/modals/IOModal/components/chatView/chatInput/hooks/use-drag-and-drop.tsx b/src/frontend/src/modals/IOModal/components/chatView/chatInput/hooks/use-drag-and-drop.tsx
new file mode 100644
index 00000000000..b1ff9d1431a
--- /dev/null
+++ b/src/frontend/src/modals/IOModal/components/chatView/chatInput/hooks/use-drag-and-drop.tsx
@@ -0,0 +1,78 @@
+import ShortUniqueId from "short-unique-id";
+import {
+  ALLOWED_IMAGE_INPUT_EXTENSIONS,
+  FS_ERROR_TEXT,
+  SN_ERROR_TEXT,
+} from "../../../../../../constants/constants";
+import useFileUpload from "./use-file-upload";
+
+const useDragAndDrop = (
+  setIsDragging,
+  setFiles,
+  currentFlowId,
+  setErrorData,
+) => {
+  const dragOver = (e) => {
+    e.preventDefault();
+    if (e.dataTransfer.types.some((type) => type === "Files")) {
+      setIsDragging(true);
+    }
+  };
+
+  const dragEnter = (e) => {
+    if (e.dataTransfer.types.some((type) => type === "Files")) {
+      setIsDragging(true);
+    }
+    e.preventDefault();
+  };
+
+  const dragLeave = (e) => {
+    e.preventDefault();
+    setIsDragging(false);
+  };
+
+  const onDrop = (e) => {
+    e.preventDefault();
+    if (e.dataTransfer.files && e.dataTransfer.files.length > 0) {
+      handleFiles(e.dataTransfer.files, setFiles, currentFlowId, setErrorData);
+      e.dataTransfer.clearData();
+    }
+    setIsDragging(false);
+  };
+  return {
+    dragOver,
+    dragEnter,
+    dragLeave,
+    onDrop,
+  };
+};
+
+const handleFiles = (files, setFiles, currentFlowId, setErrorData) => {
+  if (files) {
+    const file = files?.[0];
+    const fileExtension = file.name.split(".").pop()?.toLowerCase();
+    if (
+      !fileExtension ||
+      !ALLOWED_IMAGE_INPUT_EXTENSIONS.includes(fileExtension)
+    ) {
+      console.log("Error uploading file");
+      setErrorData({
+        title: "Error uploading file",
+        list: [FS_ERROR_TEXT, SN_ERROR_TEXT],
+      });
+      return;
+    }
+    const uid = new ShortUniqueId();
+    const id = uid.randomUUID(3);
+    const type = files[0].type.split("/")[0];
+    const blob = files[0];
+
+    setFiles((prevFiles) => [
+      ...prevFiles,
+      { file: blob, loading: true, error: false, id, type },
+    ]);
+
+    useFileUpload(blob, currentFlowId, setFiles, id);
+  }
+};
+export default useDragAndDrop;
diff --git a/src/frontend/src/modals/IOModal/components/chatView/chatInput/hooks/use-file-upload.tsx b/src/frontend/src/modals/IOModal/components/chatView/chatInput/hooks/use-file-upload.tsx
new file mode 100644
index 00000000000..4acc2ed1bf1
--- /dev/null
+++ b/src/frontend/src/modals/IOModal/components/chatView/chatInput/hooks/use-file-upload.tsx
@@ -0,0 +1,27 @@
+import { uploadFile } from "../../../../../../controllers/API";
+
+const useFileUpload = (blob, currentFlowId, setFiles, id) => {
+  uploadFile(blob, currentFlowId)
+    .then((res) => {
+      setFiles((prev) => {
+        const newFiles = [...prev];
+        const updatedIndex = newFiles.findIndex((file) => file.id === id);
+        newFiles[updatedIndex].loading = false;
+        newFiles[updatedIndex].path = res.data.file_path;
+        return newFiles;
+      });
+    })
+    .catch(() => {
+      setFiles((prev) => {
+        const newFiles = [...prev];
+        const updatedIndex = newFiles.findIndex((file) => file.id === id);
+        newFiles[updatedIndex].loading = false;
+        newFiles[updatedIndex].error = true;
+        return newFiles;
+      });
+    });
+
+  return null;
+};
+
+export default useFileUpload;
diff --git a/src/frontend/src/modals/IOModal/components/chatView/chatInput/hooks/use-focus-unlock.tsx b/src/frontend/src/modals/IOModal/components/chatView/chatInput/hooks/use-focus-unlock.tsx
new file mode 100644
index 00000000000..15dfe70aea7
--- /dev/null
+++ b/src/frontend/src/modals/IOModal/components/chatView/chatInput/hooks/use-focus-unlock.tsx
@@ -0,0 +1,13 @@
+import { useEffect } from "react";
+
+const useFocusOnUnlock = (lockChat, inputRef) => {
+  useEffect(() => {
+    if (!lockChat && inputRef.current) {
+      inputRef.current.focus();
+    }
+  }, [lockChat, inputRef]);
+
+  return inputRef;
+};
+
+export default useFocusOnUnlock;
diff --git a/src/frontend/src/modals/IOModal/components/chatView/chatInput/hooks/use-handle-file-change.tsx b/src/frontend/src/modals/IOModal/components/chatView/chatInput/hooks/use-handle-file-change.tsx
new file mode 100644
index 00000000000..748187133ca
--- /dev/null
+++ b/src/frontend/src/modals/IOModal/components/chatView/chatInput/hooks/use-handle-file-change.tsx
@@ -0,0 +1,54 @@
+import ShortUniqueId from "short-unique-id";
+import {
+  ALLOWED_IMAGE_INPUT_EXTENSIONS,
+  FS_ERROR_TEXT,
+  SN_ERROR_TEXT,
+} from "../../../../../../constants/constants";
+import useAlertStore from "../../../../../../stores/alertStore";
+import useFileUpload from "./use-file-upload";
+
+export const useHandleFileChange = (setFiles, currentFlowId) => {
+  const setErrorData = useAlertStore((state) => state.setErrorData);
+  const handleFileChange = async (
+    event: React.ChangeEvent<HTMLInputElement>,
+  ) => {
+    const fileInput = event.target;
+    const file = fileInput.files?.[0];
+    if (file) {
+      const fileExtension = file.name.split(".").pop()?.toLowerCase();
+
+      if (
+        !fileExtension ||
+        !ALLOWED_IMAGE_INPUT_EXTENSIONS.includes(fileExtension)
+      ) {
+        setErrorData({
+          title: "Error uploading file",
+          list: [FS_ERROR_TEXT, SN_ERROR_TEXT],
+        });
+        return;
+      }
+
+      const uid = new ShortUniqueId();
+      const id = uid.randomUUID(10);
+
+      const type = file.type.split("/")[0];
+      const blob = file;
+
+      setFiles((prevFiles) => [
+        ...prevFiles,
+        { file: blob, loading: true, error: false, id, type },
+      ]);
+
+      useFileUpload(blob, currentFlowId, setFiles, id);
+    }
+
+    // Clear the file input value to ensure the change event is triggered even for the same file
+    fileInput.value = "";
+  };
+
+  return {
+    handleFileChange,
+  };
+};
+
+export default useHandleFileChange;
diff --git a/src/frontend/src/modals/IOModal/components/chatView/chatInput/hooks/use-upload.tsx b/src/frontend/src/modals/IOModal/components/chatView/chatInput/hooks/use-upload.tsx
new file mode 100644
index 00000000000..5a9e85195c2
--- /dev/null
+++ b/src/frontend/src/modals/IOModal/components/chatView/chatInput/hooks/use-upload.tsx
@@ -0,0 +1,57 @@
+import { useEffect } from "react";
+import ShortUniqueId from "short-unique-id";
+import {
+  ALLOWED_IMAGE_INPUT_EXTENSIONS,
+  FS_ERROR_TEXT,
+  SN_ERROR_TEXT,
+} from "../../../../../../constants/constants";
+import useAlertStore from "../../../../../../stores/alertStore";
+import useFileUpload from "./use-file-upload";
+
+const useUpload = (uploadFile, currentFlowId, setFiles, lockChat) => {
+  const setErrorData = useAlertStore((state) => state.setErrorData);
+  useEffect(() => {
+    const handlePaste = (event: ClipboardEvent): void => {
+      if (lockChat) {
+        return;
+      }
+      const items = event.clipboardData?.items;
+      if (items) {
+        for (let i = 0; i < items.length; i++) {
+          const type = items[0].type.split("/")[0];
+          const uid = new ShortUniqueId();
+          const blob = items[i].getAsFile();
+          if (blob) {
+            const fileExtension = blob.name.split(".").pop()?.toLowerCase();
+
+            if (
+              !fileExtension ||
+              !ALLOWED_IMAGE_INPUT_EXTENSIONS.includes(fileExtension)
+            ) {
+              setErrorData({
+                title: "Error uploading file",
+                list: [FS_ERROR_TEXT, SN_ERROR_TEXT],
+              });
+              return;
+            }
+            const id = uid.randomUUID(3);
+            setFiles((prevFiles) => [
+              ...prevFiles,
+              { file: blob, loading: true, error: false, id, type },
+            ]);
+            useFileUpload(blob, currentFlowId, setFiles, id);
+          }
+        }
+      }
+    };
+
+    document.addEventListener("paste", handlePaste);
+    return () => {
+      document.removeEventListener("paste", handlePaste);
+    };
+  }, [uploadFile, currentFlowId, lockChat]);
+
+  return null;
+};
+
+export default useUpload;
diff --git a/src/frontend/src/modals/IOModal/components/chatView/chatInput/index.tsx b/src/frontend/src/modals/IOModal/components/chatView/chatInput/index.tsx
new file mode 100644
index 00000000000..a3c070a5f4a
--- /dev/null
+++ b/src/frontend/src/modals/IOModal/components/chatView/chatInput/index.tsx
@@ -0,0 +1,129 @@
+import { useRef, useState } from "react";
+import {
+  CHAT_INPUT_PLACEHOLDER,
+  CHAT_INPUT_PLACEHOLDER_SEND,
+} from "../../../../../constants/constants";
+import { uploadFile } from "../../../../../controllers/API";
+import useFlowsManagerStore from "../../../../../stores/flowsManagerStore";
+import {
+  ChatInputType,
+  FilePreviewType,
+} from "../../../../../types/components";
+import FilePreview from "../filePreviewChat";
+import ButtonSendWrapper from "./components/buttonSendWrapper";
+import TextAreaWrapper from "./components/textAreaWrapper";
+import UploadFileButton from "./components/uploadFileButton";
+import { getClassNamesFilePreview } from "./helpers/get-class-file-preview";
+import useAutoResizeTextArea from "./hooks/use-auto-resize-text-area";
+import useFocusOnUnlock from "./hooks/use-focus-unlock";
+import useHandleFileChange from "./hooks/use-handle-file-change";
+import useUpload from "./hooks/use-upload";
+export default function ChatInput({
+  lockChat,
+  chatValue,
+  sendMessage,
+  setChatValue,
+  inputRef,
+  noInput,
+  files,
+  setFiles,
+  isDragging,
+}: ChatInputType): JSX.Element {
+  const [repeat, setRepeat] = useState(1);
+  const saveLoading = useFlowsManagerStore((state) => state.saveLoading);
+  const currentFlowId = useFlowsManagerStore((state) => state.currentFlowId);
+  const [inputFocus, setInputFocus] = useState<boolean>(false);
+  const fileInputRef = useRef<HTMLInputElement>(null);
+
+  useFocusOnUnlock(lockChat, inputRef);
+  useAutoResizeTextArea(chatValue, inputRef);
+  useUpload(uploadFile, currentFlowId, setFiles, lockChat || saveLoading);
+  const { handleFileChange } = useHandleFileChange(setFiles, currentFlowId);
+
+  const send = () => {
+    sendMessage({
+      repeat,
+      files: files.map((file) => file.path ?? "").filter((file) => file !== ""),
+    });
+    setFiles([]);
+  };
+
+  const checkSendingOk = (event: React.KeyboardEvent<HTMLTextAreaElement>) => {
+    return (
+      event.key === "Enter" &&
+      !lockChat &&
+      !saveLoading &&
+      !event.shiftKey &&
+      !event.nativeEvent.isComposing
+    );
+  };
+
+  const classNameFilePreview = getClassNamesFilePreview(inputFocus);
+
+  const handleButtonClick = () => {
+    fileInputRef.current!.click();
+  };
+
+  return (
+    <div className="flex w-full flex-col-reverse">
+      <div className="relative w-full">
+        <TextAreaWrapper
+          checkSendingOk={checkSendingOk}
+          send={send}
+          lockChat={lockChat}
+          noInput={noInput}
+          saveLoading={saveLoading}
+          chatValue={chatValue}
+          setChatValue={setChatValue}
+          CHAT_INPUT_PLACEHOLDER={CHAT_INPUT_PLACEHOLDER}
+          CHAT_INPUT_PLACEHOLDER_SEND={CHAT_INPUT_PLACEHOLDER_SEND}
+          inputRef={inputRef}
+          setInputFocus={setInputFocus}
+          files={files}
+          isDragging={isDragging}
+        />
+        <div className="form-modal-send-icon-position">
+          <ButtonSendWrapper
+            send={send}
+            lockChat={lockChat}
+            noInput={noInput}
+            saveLoading={saveLoading}
+            chatValue={chatValue}
+            files={files}
+          />
+        </div>
+
+        <div
+          className={`absolute bottom-2 left-4 ${
+            lockChat || saveLoading ? "cursor-not-allowed" : ""
+          }`}
+        >
+          <UploadFileButton
+            lockChat={lockChat || saveLoading}
+            fileInputRef={fileInputRef}
+            handleFileChange={handleFileChange}
+            handleButtonClick={handleButtonClick}
+          />
+        </div>
+      </div>
+      {files.length > 0 && (
+        <div className={classNameFilePreview}>
+          {files.map((file) => (
+            <FilePreview
+              error={file.error}
+              file={file.file}
+              loading={file.loading}
+              key={file.id}
+              onDelete={() => {
+                setFiles((prev: FilePreviewType[]) =>
+                  prev.filter((f) => f.id !== file.id),
+                );
+                // TODO: delete file on backend
+              }}
+            />
+          ))}
+        </div>
+      )}
+    </div>
+  );
+}
diff --git a/src/frontend/src/modals/IOModal/components/chatView/chatMessage/codeBlock/index.tsx b/src/frontend/src/modals/IOModal/components/chatView/chatMessage/codeBlock/index.tsx
new file mode 100644
index 00000000000..50f31512ed0
--- /dev/null
+++ b/src/frontend/src/modals/IOModal/components/chatView/chatMessage/codeBlock/index.tsx
@@ -0,0 +1,72 @@
+import { IconCheck, IconClipboard, IconDownload } from "@tabler/icons-react";
+import { useState } from "react";
+import { Prism as SyntaxHighlighter } from "react-syntax-highlighter";
+import { oneDark } from "react-syntax-highlighter/dist/cjs/styles/prism";
+import { programmingLanguages } from "../../../../../../constants/constants";
+import { Props } from "../../../../../../types/components";
+
+export function CodeBlock({ language, value }: Props): JSX.Element {
+  const [isCopied, setIsCopied] = useState<Boolean>(false);
+
+  const copyToClipboard = (): void => {
+    if (!navigator.clipboard || !navigator.clipboard.writeText) {
+      return;
+    }
+
+    navigator.clipboard.writeText(value).then(() => {
+      setIsCopied(true);
+
+      setTimeout(() => {
+        setIsCopied(false);
+      }, 2000);
+    });
+  };
+  const downloadAsFile = (): void => {
+    const fileExtension = programmingLanguages[language] || ".file";
+    const suggestedFileName = `${"generated-code"}${fileExtension}`;
+    const fileName = window.prompt("enter file name", suggestedFileName);
+
+    if (!fileName) {
+      // user pressed cancel on prompt
+      return;
+    }
+
+    const blob = new Blob([value], { type: "text/plain" });
+    const url = URL.createObjectURL(blob);
+    const link = document.createElement("a");
+    link.download = fileName;
+    link.href = url;
+    link.style.display = "none";
+    document.body.appendChild(link);
+    link.click();
+    document.body.removeChild(link);
+    URL.revokeObjectURL(url);
+  };
+  return (
+    <div className="codeblock font-sans text-[16px]">
+      <div className="code-block-modal">
+        <span className="code-block-modal-span">{language}</span>
+
+        <div className="flex items-center">
+          <button className="code-block-modal-button" onClick={copyToClipboard}>
+            {isCopied ? <IconCheck size={18} /> : <IconClipboard size={18} />}
+            {isCopied ? "Copied!" : "Copy Code"}
+          </button>
+          <button className="code-block-modal-button" onClick={downloadAsFile}>
+            <IconDownload size={18} />
+          </button>
+        </div>
+      </div>
+
+      <SyntaxHighlighter
+        className="overflow-auto"
+        language={language}
+        style={oneDark}
+        customStyle={{ margin: 0 }}
+      >
+        {value}
+      </SyntaxHighlighter>
+    </div>
+  );
+}
+CodeBlock.displayName = "CodeBlock";
diff --git a/src/frontend/src/modals/IOModal/components/chatView/chatMessage/components/fileCardWrapper/index.tsx b/src/frontend/src/modals/IOModal/components/chatView/chatMessage/components/fileCardWrapper/index.tsx
new file mode 100644
index 00000000000..e6b4509d052
--- /dev/null
+++ b/src/frontend/src/modals/IOModal/components/chatView/chatMessage/components/fileCardWrapper/index.tsx
@@ -0,0 +1,35 @@
+import { useState } from "react";
+import ForwardedIconComponent from "../../../../../../../components/genericIconComponent";
+import FileCard from "../../../fileComponent";
+import formatFileName from "../../../filePreviewChat/utils/format-file-name";
+
+export default function FileCardWrapper({
+  index,
+  name,
+  type,
+  path,
+}: {
+  index: number;
+  name: string;
+  type: string;
+  path: string;
+}) {
+  const [show, setShow] = useState<boolean>(true);
+  return (
+    <div key={index} className="flex flex-col gap-2">
+      <span
+        onClick={() => setShow(!show)}
+        className="flex cursor-pointer gap-2 text-sm text-muted-foreground"
+      >
+        {formatFileName(name, 50)}
+        <ForwardedIconComponent name={show ? "ChevronDown" : "ChevronRight"} />
+      </span>
+      <FileCard
+        showFile={show}
+        fileName={name}
+        fileType={type}
+        content={path}
+      />
+    </div>
+  );
+}
diff --git a/src/frontend/src/modals/IOModal/components/chatView/chatMessage/index.tsx b/src/frontend/src/modals/IOModal/components/chatView/chatMessage/index.tsx
new file mode 100644
index 00000000000..ff1650f71f0
--- /dev/null
+++ b/src/frontend/src/modals/IOModal/components/chatView/chatMessage/index.tsx
@@ -0,0 +1,365 @@
+import Convert from "ansi-to-html";
+import { useEffect, useMemo, useRef, useState } from "react";
+import Markdown from "react-markdown";
+import rehypeMathjax from "rehype-mathjax";
+import remarkGfm from "remark-gfm";
+import remarkMath from "remark-math";
+import MaleTechnology from "../../../../../assets/male-technologist.png";
+import Robot from "../../../../../assets/robot.png";
+import CodeTabsComponent from "../../../../../components/codeTabsComponent";
+import IconComponent from "../../../../../components/genericIconComponent";
+import SanitizedHTMLWrapper from "../../../../../components/sanitizedHTMLWrapper";
+import { EMPTY_INPUT_SEND_MESSAGE } from "../../../../../constants/constants";
+import useAlertStore from "../../../../../stores/alertStore";
+import useFlowStore from "../../../../../stores/flowStore";
+import { chatMessagePropsType } from "../../../../../types/components";
+import { classNames, cn } from "../../../../../utils/utils";
+import FileCardWrapper from "./components/fileCardWrapper";
+
+export default function ChatMessage({
+  chat,
+  lockChat,
+  lastMessage,
+  updateChat,
+  setLockChat,
+}: chatMessagePropsType): JSX.Element {
+  const [showFile, setShowFile] = useState<boolean>(true);
+  const convert = new Convert({ newline: true });
+  const [hidden, setHidden] = useState(true);
+  const template = chat.template;
+  const [promptOpen, setPromptOpen] = useState(false);
+  const [streamUrl, setStreamUrl] = useState(chat.stream_url);
+  // We need to check if message is not undefined because
+  // we need to run .toString() on it
+  const chatMessageString = chat.message ? chat.message.toString() : "";
+  const [chatMessage, setChatMessage] = useState(chatMessageString);
+  const [isStreaming, setIsStreaming] = useState(false);
+  const eventSource = useRef<EventSource | undefined>(undefined);
+  const updateFlowPool = useFlowStore((state) => state.updateFlowPool);
+  const setErrorData = useAlertStore((state) => state.setErrorData);
+  const chatMessageRef = useRef(chatMessage);
+
+  // Sync ref with state
+  useEffect(() => {
+    chatMessageRef.current = chatMessage;
+  }, [chatMessage]);
+
+  // The idea now is that chat.stream_url MAY be a URL if we should stream the output of the chat
+  // probably the message is empty when we have a stream_url
+  // what we need is to update the chat_message with the SSE data
+  const streamChunks = (url: string) => {
+    setIsStreaming(true); // Streaming starts
+    return new Promise<boolean>((resolve, reject) => {
+      eventSource.current = new EventSource(url);
+      eventSource.current.onmessage = (event) => {
+        let parsedData = JSON.parse(event.data);
+        if (parsedData.chunk) {
+          setChatMessage((prev) => prev + parsedData.chunk);
+        }
+      };
+      eventSource.current.onerror = (event: any) => {
+        setIsStreaming(false);
+        eventSource.current?.close();
+        setStreamUrl(undefined);
+        if (JSON.parse(event.data)?.error) {
+          setErrorData({
+            title: "Error on Streaming",
+            list: [JSON.parse(event.data)?.error],
+          });
+        }
+        updateChat(chat, chatMessageRef.current);
+        reject(new Error("Streaming failed"));
+      };
+      eventSource.current.addEventListener("close", (event) => {
+        setStreamUrl(undefined); // Update state to reflect the stream is closed
+        eventSource.current?.close();
+        setIsStreaming(false);
+        resolve(true);
+      });
+    });
+  };
+
+  useEffect(() => {
+    if (streamUrl && !isStreaming) {
+      setLockChat(true);
+      streamChunks(streamUrl)
+        .then(() => {
+          setLockChat(false);
+          if (updateChat) {
+            updateChat(chat, chatMessageRef.current);
+          }
+        })
+        .catch((error) => {
+          console.error(error);
+          setLockChat(false);
+        });
+    }
+  }, [streamUrl, chatMessage]);
+
+  useEffect(() => {
+    return () => {
+      eventSource.current?.close();
+    };
+  }, []);
+
+  useEffect(() => {
+    const element = document.getElementById("last-chat-message");
+    if (element) {
+      setTimeout(() => {
+        element.scrollIntoView({ behavior: "smooth" });
+      }, 200);
+    }
+  }, [lastMessage]);
+
+  return (
+    <>
+      <div
+        className={classNames(
+          "form-modal-chat-position",
+          chat.isSend ? "" : " ",
+        )}
+      >
+        <div
+          className={classNames(
+            "mr-3 mt-1 flex w-24 flex-col items-center gap-1 overflow-hidden px-3 pb-3",
+          )}
+        >
+          <div className="flex flex-col items-center gap-1">
+            <div
+              className={cn(
+                "relative flex h-8 w-8 items-center justify-center overflow-hidden rounded-md p-5 text-2xl",
+                !chat.isSend ? "bg-chat-bot-icon" : "bg-chat-user-icon",
+              )}
+            >
+              <img
+                src={!chat.isSend ? Robot : MaleTechnology}
+                className="absolute scale-[60%]"
+                alt={!chat.isSend ? "robot_image" : "male_technology"}
+              />
+            </div>
+            <span
+              className="max-w-24 truncate text-xs"
+              data-testid={
+                "sender_name_" + chat.sender_name?.toLocaleLowerCase()
+              }
+            >
+              {chat.sender_name}
+            </span>
+          </div>
+        </div>
+        {!chat.isSend ? (
+          <div className="form-modal-chat-text-position min-w-96 flex-grow">
+            <div className="form-modal-chat-text">
+              {hidden && chat.thought && chat.thought !== "" && (
+                <div
+                  onClick={(): void => setHidden((prev) => !prev)}
+                  className="form-modal-chat-icon-div"
+                >
+                  <IconComponent
+                    name="MessageSquare"
+                    className="form-modal-chat-icon"
+                  />
+                </div>
+              )}
+              {chat.thought && chat.thought !== "" && !hidden && (
+                <SanitizedHTMLWrapper
+                  className="form-modal-chat-thought"
+                  content={convert.toHtml(chat.thought)}
+                  onClick={() => setHidden((prev) => !prev)}
+                />
+              )}
+              {chat.thought && chat.thought !== "" && !hidden && <br></br>}
+              <div className="flex w-full flex-col">
+                <div className="flex w-full flex-col dark:text-white">
+                  <div
+                    data-testid={
+                      "chat-message-" + chat.sender_name + "-" + chatMessage
+                    }
+                    className="flex w-full flex-col"
+                  >
+                    {useMemo(
+                      () =>
+                        chatMessage === "" && lockChat ? (
+                          <IconComponent
+                            name="MoreHorizontal"
+                            className="h-8 w-8 animate-pulse"
+                          />
+                        ) : (
+                          <Markdown
+                            remarkPlugins={[remarkGfm]}
+                            rehypePlugins={[rehypeMathjax]}
+                            className={cn(
+                              "markdown prose flex flex-col word-break-break-word dark:prose-invert",
+                              chatMessage === ""
+                                ? "text-chat-trigger-disabled"
+                                : "text-primary",
+                            )}
+                            components={{
+                              pre({ node, ...props }) {
+                                return <>{props.children}</>;
+                              },
+                              code: ({
+                                node,
+                                inline,
+                                className,
+                                children,
+                                ...props
+                              }) => {
+                                if (typeof children === "string") {
+                                  if ((children as string)!.length) {
+                                    if (children![0] === "▍") {
+                                      return (
+                                        <span className="form-modal-markdown-span">
+                                          ▍
+                                        </span>
+                                      );
+                                    }
+                                    children![0] = (
+                                      children![0] as string
+                                    ).replace("`▍`", "▍");
+                                  }
+                                }
+
+                                const match = /language-(\w+)/.exec(
+                                  className || "",
+                                );
+
+                                return !inline ? (
+                                  <CodeTabsComponent
+                                    isMessage
+                                    tabs={[
+                                      {
+                                        name: (match && match[1]) || "",
+                                        mode: (match && match[1]) || "",
+                                        image:
+                                          "https://curl.se/logo/curl-symbol-transparent.png",
+                                        language: (match && match[1]) || "",
+                                        code: String(children).replace(
+                                          /\n$/,
+                                          "",
+                                        ),
+                                      },
+                                    ]}
+                                    activeTab={"0"}
+                                    setActiveTab={() => {}}
+                                  />
+                                ) : (
+                                  <code className={className} {...props}>
+                                    {children}
+                                  </code>
+                                );
+                              },
+                            }}
+                          >
+                            {chatMessage === ""
+                              ? EMPTY_INPUT_SEND_MESSAGE
+                              : chatMessage}
+                          </Markdown>
+                        ),
+                      [chat.message, chatMessage],
+                    )}
+                  </div>
+                </div>
+              </div>
+            </div>
+          </div>
+        ) : (
+          <div className="form-modal-chat-text-position min-w-96 flex-grow">
+            {template ? (
+              <>
+                <button
+                  className="form-modal-initial-prompt-btn"
+                  onClick={() => {
+                    setPromptOpen((old) => !old);
+                  }}
+                >
+                  Display Prompt
+                  <IconComponent
+                    name="ChevronDown"
+                    className={
+                      "h-3 w-3 transition-all " +
+                      (promptOpen ? "rotate-180" : "")
+                    }
+                  />
+                </button>
+                <span
+                  className={cn(
+                    "prose word-break-break-word dark:prose-invert",
+                    chatMessage !== ""
+                      ? EMPTY_INPUT_SEND_MESSAGE
+                      : chatMessage
+                        ? "text-primary"
+                        : "text-chat-trigger-disabled",
+                  )}
+                >
+                  {promptOpen
+                    ? template?.split("\n")?.map((line, index) => {
+                        const regex = /{([^}]+)}/g;
+                        let match;
+                        let parts: Array<JSX.Element | string> = [];
+                        let lastIndex = 0;
+                        while ((match = regex.exec(line)) !== null) {
+                          // Push text up to the match
+                          if (match.index !== lastIndex) {
+                            parts.push(line.substring(lastIndex, match.index));
+                          }
+                          // Push div with matched text
+                          if (chat.message[match[1]]) {
+                            parts.push(
+                              <span className="chat-message-highlight">
+                                {chat.message[match[1]]}
+                              </span>,
+                            );
+                          }
+
+                          // Update last index
+                          lastIndex = regex.lastIndex;
+                        }
+                        // Push text after the last match
+                        if (lastIndex !== line.length) {
+                          parts.push(line.substring(lastIndex));
+                        }
+                        return <p>{parts}</p>;
+                      })
+                    : chatMessage === ""
+                      ? EMPTY_INPUT_SEND_MESSAGE
+                      : chatMessage}
+                </span>
+              </>
+            ) : (
+              <div className="flex flex-col">
+                <span
+                  className={`prose word-break-break-word dark:prose-invert ${
+                    chatMessage === ""
+                      ? "text-chat-trigger-disabled"
+                      : "text-primary"
+                  }`}
+                  data-testid={
+                    "chat-message-" + chat.sender_name + "-" + chatMessage
+                  }
+                >
+                  {chatMessage === "" ? EMPTY_INPUT_SEND_MESSAGE : chatMessage}
+                </span>
+                {chat.files && (
+                  <div className="my-2 flex flex-col gap-5">
+                    {chat.files.map((file, index) => {
+                      return (
+                        <FileCardWrapper
+                          index={index}
+                          name={file.name}
+                          type={file.type}
+                          path={file.path}
+                        />
+                      );
+                    })}
+                  </div>
+                )}
+              </div>
+            )}
+          </div>
+        )}
+      </div>
+      <div id={lastMessage ? "last-chat-message" : ""}></div>
+    </>
+  );
+}
diff --git a/src/frontend/src/modals/IOModal/components/chatView/fileComponent/components/downloadButton/downloadButton.tsx b/src/frontend/src/modals/IOModal/components/chatView/fileComponent/components/downloadButton/downloadButton.tsx
new file mode 100644
index 00000000000..1fdca0395e8
--- /dev/null
+++ b/src/frontend/src/modals/IOModal/components/chatView/fileComponent/components/downloadButton/downloadButton.tsx
@@ -0,0 +1,30 @@
+import ForwardedIconComponent from "../../../../../../../components/genericIconComponent";
+import { Button } from "../../../../../../../components/ui/button";
+
+export default function DownloadButton({
+  isHovered,
+  handleDownload,
+}: {
+  isHovered: boolean;
+  handleDownload: () => void;
+}): JSX.Element | undefined {
+  if (isHovered) {
+    return (
+      <div
+        className={`absolute right-1 top-1 rounded-md bg-muted text-sm font-bold text-foreground`}
+      >
+        <Button
+          unstyled
+          className="bg-transparent px-2 py-1 text-ring"
+          onClick={handleDownload}
+        >
+          <ForwardedIconComponent
+            name="DownloadCloud"
+            className="h-5 w-5 bg-transparent text-current hover:scale-110"
+          />
+        </Button>
+      </div>
+    );
+  }
+  return undefined;
+}
diff --git a/src/frontend/src/modals/IOModal/components/chatView/fileComponent/index.tsx b/src/frontend/src/modals/IOModal/components/chatView/fileComponent/index.tsx
new file mode 100644
index 00000000000..fa9c505ea1e
--- /dev/null
+++ b/src/frontend/src/modals/IOModal/components/chatView/fileComponent/index.tsx
@@ -0,0 +1,81 @@
+import { useState } from "react";
+import { ForwardedIconComponent } from "../../../../../components/genericIconComponent";
+import { BACKEND_URL, BASE_URL_API } from "../../../../../constants/constants";
+import useFlowsManagerStore from "../../../../../stores/flowsManagerStore";
+import { fileCardPropsType } from "../../../../../types/components";
+import formatFileName from "../filePreviewChat/utils/format-file-name";
+import DownloadButton from "./components/downloadButton/downloadButton";
+import getClasses from "./utils/get-classes";
+import handleDownload from "./utils/handle-download";
+
+const imgTypes = new Set(["png", "jpg", "jpeg", "gif", "webp", "image"]);
+
+export default function FileCard({
+  fileName,
+  content,
+  fileType,
+  showFile = true,
+}: fileCardPropsType): JSX.Element | undefined {
+  const [isHovered, setIsHovered] = useState(false);
+  const currentFlowId = useFlowsManagerStore((state) => state.currentFlowId);
+  function handleMouseEnter(): void {
+    setIsHovered(true);
+  }
+  function handleMouseLeave(): void {
+    setIsHovered(false);
+  }
+
+  const fileWrapperClasses = getClasses(isHovered);
+
+  const imgSrc = `${BACKEND_URL.slice(
+    0,
+    BACKEND_URL.length - 1,
+  )}${BASE_URL_API}files/images/${content}`;
+
+  if (showFile) {
+    if (imgTypes.has(fileType)) {
+      return (
+        <div
+          className="inline-block w-full rounded-lg transition-all"
+          onMouseEnter={handleMouseEnter}
+          onMouseLeave={handleMouseLeave}
+          style={{ display: "inline-block" }}
+        >
+          <div className="relative w-[50%] rounded-lg border border-border">
+            <img
+              src={imgSrc}
+              alt="generated image"
+              className="m-0 h-auto w-auto rounded-lg border border-border p-0 transition-all"
+            />
+            <DownloadButton
+              isHovered={isHovered}
+              handleDownload={() => handleDownload({ fileName, content })}
+            />
+          </div>
+        </div>
+      );
+    }
+
+    return (
+      <div
+        className={fileWrapperClasses}
+        onClick={() => handleDownload({ fileName, content })}
+        onMouseEnter={handleMouseEnter}
+        onMouseLeave={handleMouseLeave}
+      >
+        <div className="ml-3 flex h-full w-full items-center gap-2 text-sm">
+          <ForwardedIconComponent name="File" className="h-8 w-8" />
+          <div className="flex flex-col">
+            <span className="font-bold">{formatFileName(fileName, 20)}</span>
+            <span>File</span>
+          </div>
+        </div>
+        <DownloadButton
+          isHovered={isHovered}
+          handleDownload={() => handleDownload({ fileName, content })}
+        />
+      </div>
+    );
+  }
+  return undefined;
+}
diff --git a/src/frontend/src/modals/IOModal/components/chatView/fileComponent/utils/get-classes.tsx b/src/frontend/src/modals/IOModal/components/chatView/fileComponent/utils/get-classes.tsx
new file mode 100644
index 00000000000..7a12a4e6a41
--- /dev/null
+++ b/src/frontend/src/modals/IOModal/components/chatView/fileComponent/utils/get-classes.tsx
@@ -0,0 +1,7 @@
+export default function getClasses(isHovered: boolean): string {
+  return `relative ${
+    false ? "h-20 w-20" : "h-20 w-80"
+  } cursor-pointer rounded-lg border  border-ring bg-muted shadow transition duration-300 hover:drop-shadow-lg ${
+    isHovered ? "shadow-md" : ""
+  }`;
+}
diff --git a/src/frontend/src/modals/IOModal/components/chatView/fileComponent/utils/handle-download.tsx b/src/frontend/src/modals/IOModal/components/chatView/fileComponent/utils/handle-download.tsx
new file mode 100644
index 00000000000..a4be91d5044
--- /dev/null
+++ b/src/frontend/src/modals/IOModal/components/chatView/fileComponent/utils/handle-download.tsx
@@ -0,0 +1,46 @@
+import {
+  BACKEND_URL,
+  BASE_URL_API,
+} from "../../../../../../constants/constants";
+
+let isDownloading = false;
+
+export default async function handleDownload({
+  fileName,
+  content,
+}: {
+  fileName: string;
+  content: string;
+}): Promise<void> {
+  if (isDownloading) return;
+
+  try {
+    isDownloading = true;
+
+    const response = await fetch(
+      `${BACKEND_URL.slice(
+        0,
+        BACKEND_URL.length - 1,
+      )}${BASE_URL_API}files/download/${content}`,
+    );
+    if (!response.ok) {
+      throw new Error("Network response was not ok");
+    }
+
+    const blob = await response.blob();
+    const url = URL.createObjectURL(blob);
+
+    const link = document.createElement("a");
+    link.href = url;
+    link.setAttribute("download", fileName); // Set the filename
+    document.body.appendChild(link);
+    link.click();
+    document.body.removeChild(link);
+
+    URL.revokeObjectURL(url); // Clean up the URL object
+  } catch (error) {
+    console.error("Failed to download file:", error);
+  } finally {
+    isDownloading = false;
+  }
+}
diff --git a/src/frontend/src/modals/IOModal/components/chatView/filePreviewChat/index.tsx b/src/frontend/src/modals/IOModal/components/chatView/filePreviewChat/index.tsx
new file mode 100644
index 00000000000..2da6b76b3d5
--- /dev/null
+++ b/src/frontend/src/modals/IOModal/components/chatView/filePreviewChat/index.tsx
@@ -0,0 +1,110 @@
+import { useState } from "react";
+import IconComponent, {
+  ForwardedIconComponent,
+} from "../../../../../components/genericIconComponent";
+import { Skeleton } from "../../../../../components/ui/skeleton";
+import formatFileName from "./utils/format-file-name";
+
+const supImgFiles = ["png", "jpg", "jpeg", "gif", "bmp", "webp", "image"];
+
+export default function FilePreview({
+  error,
+  file,
+  loading,
+  onDelete,
+}: {
+  loading: boolean;
+  file: File;
+  error: boolean;
+  onDelete: () => void;
+}) {
+  const fileType = file.type.toLowerCase();
+  const isImage = supImgFiles.some((type) => fileType.includes(type));
+
+  const [isHovered, setIsHovered] = useState(false);
+
+  return (
+    <div className="relative inline-block">
+      {loading ? (
+        isImage ? (
+          <div className="flex h-20 w-20 items-center justify-center rounded-md border border-ring bg-background">
+            <svg
+              aria-hidden="true"
+              className={`h-10 w-10 animate-spin fill-black text-muted`}
+              viewBox="0 0 100 101"
+              fill="none"
+              xmlns="http://www.w3.org/2000/svg"
+            >
+              <path
+                d="M100 50.5908C100 78.2051 77.6142 100.591 50 100.591C22.3858 100.591 0 78.2051 0 50.5908C0 22.9766 22.3858 0.59082 50 0.59082C77.6142 0.59082 100 22.9766 100 50.5908ZM9.08144 50.5908C9.08144 73.1895 27.4013 91.5094 50 91.5094C72.5987 91.5094 90.9186 73.1895 90.9186 50.5908C90.9186 27.9921 72.5987 9.67226 50 9.67226C27.4013 9.67226 9.08144 27.9921 9.08144 50.5908Z"
+                fill="currentColor"
+              />
+              <path
+                d="M93.9676 39.0409C96.393 38.4038 97.8624 35.9116 97.0079 33.5539C95.2932 28.8227 92.871 24.3692 89.8167 20.348C85.8452 15.1192 80.8826 10.7238 75.2124 7.41289C69.5422 4.10194 63.2754 1.94025 56.7698 1.05124C51.7666 0.367541 46.6976 0.446843 41.7345 1.27873C39.2613 1.69328 37.813 4.19778 38.4501 6.62326C39.0873 9.04874 41.5694 10.4717 44.0505 10.1071C47.8511 9.54855 51.7191 9.52689 55.5402 10.0491C60.8642 10.7766 65.9928 12.5457 70.6331 15.2552C75.2735 17.9648 79.3347 21.5619 82.5849 25.841C84.9175 28.9121 86.7997 32.2913 88.1811 35.8758C89.083 38.2158 91.5421 39.6781 93.9676 39.0409Z"
+                fill="currentFill"
+              />
+            </svg>
+          </div>
+        ) : (
+          <div
+            className={`relative ${
+              isImage ? "h-20 w-20" : "h-20 w-80"
+            } cursor-wait rounded-lg border border-ring bg-background transition duration-300 ${
+              isHovered ? "shadow-md" : ""
+            }`}
+          >
+            <div className="ml-3 flex h-full w-full items-center gap-2 text-sm">
+              <Skeleton className="h-10 w-10 rounded-lg" />
+              <div className="flex flex-col gap-1">
+                <Skeleton className="h-3 w-48" />
+                <Skeleton className="h-3 w-10" />
+              </div>
+            </div>
+          </div>
+        )
+      ) : error ? (
+        <div>Error...</div>
+      ) : (
+        <div
+          className={`relative mt-2 ${
+            isImage ? "h-20 w-20" : "h-20 w-80"
+          } cursor-pointer rounded-lg border border-ring bg-background transition duration-300 ${
+            isHovered ? "shadow-md" : ""
+          }`}
+          onMouseEnter={() => setIsHovered(true)}
+          onMouseLeave={() => setIsHovered(false)}
+        >
+          {isImage ? (
+            <img
+              src={URL.createObjectURL(file)}
+              alt="file"
+              className="block h-full w-full rounded-md border border-border"
+            />
+          ) : (
+            <div className="ml-3 flex h-full w-full items-center gap-2 text-sm">
+              <ForwardedIconComponent name="File" className="h-8 w-8" />
+              <div className="flex flex-col">
+                <span className="font-bold">{formatFileName(file.name)}</span>
+                <span>File</span>
+              </div>
+            </div>
+          )}
+          {isHovered && (
+            <div
+              className={`absolute ${
+                isImage ? "bottom-16 left-16" : "bottom-16 left-[19em]"
+              } flex h-5 w-5 items-center justify-center`}
+            >
+              <div
+                className="flex h-7 w-7 cursor-pointer items-center justify-center rounded-full bg-gray-200 p-2 transition-all"
+                onClick={onDelete}
+              >
+                <IconComponent name="X" className="stroke-slate-950 stroke-2" />
+              </div>
+            </div>
+          )}
+        </div>
+      )}
+    </div>
+  );
+}
diff --git a/src/frontend/src/modals/IOModal/components/chatView/filePreviewChat/utils/format-file-name.tsx b/src/frontend/src/modals/IOModal/components/chatView/filePreviewChat/utils/format-file-name.tsx
new file mode 100644
index 00000000000..94258b6af55
--- /dev/null
+++ b/src/frontend/src/modals/IOModal/components/chatView/filePreviewChat/utils/format-file-name.tsx
@@ -0,0 +1,14 @@
+export default function formatFileName(
+  name: string,
+  numberToTruncate: number = 25,
+): string {
+  if (name[numberToTruncate] === undefined) {
+    return name;
+  }
+  const fileExtension = name.split(".").pop(); // Get the file extension
+  const baseName = name.slice(0, name.lastIndexOf(".")); // Get the base name without the extension
+  if (baseName.length > 6) {
+    return `${baseName.slice(0, numberToTruncate)}...${fileExtension}`;
+  }
+  return name;
+}
diff --git a/src/frontend/src/modals/IOModal/components/chatView/index.tsx b/src/frontend/src/modals/IOModal/components/chatView/index.tsx
new file mode 100644
index 00000000000..1149425dc9f
--- /dev/null
+++ b/src/frontend/src/modals/IOModal/components/chatView/index.tsx
@@ -0,0 +1,241 @@
+import { useEffect, useRef, useState } from "react";
+import IconComponent from "../../../../components/genericIconComponent";
+import { Button } from "../../../../components/ui/button";
+import {
+  CHAT_FIRST_INITIAL_TEXT,
+  CHAT_SECOND_INITIAL_TEXT,
+  EMPTY_INPUT_SEND_MESSAGE,
+} from "../../../../constants/constants";
+import { deleteFlowPool } from "../../../../controllers/API";
+import useAlertStore from "../../../../stores/alertStore";
+import useFlowStore from "../../../../stores/flowStore";
+import useFlowsManagerStore from "../../../../stores/flowsManagerStore";
+import { VertexBuildTypeAPI, sendAllProps } from "../../../../types/api";
+import { ChatMessageType } from "../../../../types/chat";
+import { FilePreviewType, chatViewProps } from "../../../../types/components";
+import { classNames } from "../../../../utils/utils";
+import ChatInput from "./chatInput";
+import useDragAndDrop from "./chatInput/hooks/use-drag-and-drop";
+import ChatMessage from "./chatMessage";
+
+export default function ChatView({
+  sendMessage,
+  chatValue,
+  setChatValue,
+  lockChat,
+  setLockChat,
+}: chatViewProps): JSX.Element {
+  const { flowPool, outputs, inputs, CleanFlowPool } = useFlowStore();
+  const { setErrorData } = useAlertStore();
+  const currentFlowId = useFlowsManagerStore((state) => state.currentFlowId);
+  const messagesRef = useRef<HTMLDivElement | null>(null);
+  const [chatHistory, setChatHistory] = useState<ChatMessageType[]>([]);
+
+  const inputTypes = inputs.map((obj) => obj.type);
+  const inputIds = inputs.map((obj) => obj.id);
+  const outputIds = outputs.map((obj) => obj.id);
+  const outputTypes = outputs.map((obj) => obj.type);
+  const updateFlowPool = useFlowStore((state) => state.updateFlowPool);
+
+  //build chat history
+  useEffect(() => {
+    const chatOutputResponses: VertexBuildTypeAPI[] = [];
+    outputIds.forEach((outputId) => {
+      if (outputId.includes("ChatOutput")) {
+        if (flowPool[outputId] && flowPool[outputId].length > 0) {
+          chatOutputResponses.push(...flowPool[outputId]);
+        }
+      }
+    });
+    inputIds.forEach((inputId) => {
+      if (inputId.includes("ChatInput")) {
+        if (flowPool[inputId] && flowPool[inputId].length > 0) {
+          chatOutputResponses.push(...flowPool[inputId]);
+        }
+      }
+    });
+    const chatMessages: ChatMessageType[] = chatOutputResponses
+      .sort((a, b) => Date.parse(a.timestamp) - Date.parse(b.timestamp))
+      //
+      .filter(
+        (output) =>
+          output.data.message || (!output.data.message && output.artifacts),
+      )
+      .map((output, index) => {
+        try {
+          console.log("output:", output);
+
+          const messageOutput = output.data.message;
+          const hasMessageValue =
+            messageOutput?.message ||
+            messageOutput?.message === "" ||
+            (messageOutput?.files ?? []).length > 0 ||
+            messageOutput?.stream_url;
+
+          const { sender, message, sender_name, stream_url, files } =
+            hasMessageValue ? output.data.message : output.artifacts;
+
+          const is_ai =
+            sender === "Machine" || sender === null || sender === undefined;
+
+          return {
+            isSend: !is_ai,
+            message,
+            sender_name,
+            componentId: output.id,
+            stream_url: stream_url,
+            files,
+          };
+        } catch (e) {
+          console.error(e);
+          return {
+            isSend: false,
+            message: "Error parsing message",
+            sender_name: "Error",
+            componentId: output.id,
+          };
+        }
+      });
+    setChatHistory(chatMessages);
+  }, [flowPool]);
+  useEffect(() => {
+    if (messagesRef.current) {
+      messagesRef.current.scrollTop = messagesRef.current.scrollHeight;
+    }
+  }, []);
+
+  async function sendAll(data: sendAllProps): Promise<void> {}
+  useEffect(() => {
+    if (ref.current) ref.current.scrollIntoView({ behavior: "smooth" });
+  }, []);
+
+  const ref = useRef<HTMLDivElement | null>(null);
+
+  useEffect(() => {
+    if (ref.current) {
+      ref.current.focus();
+    }
+  }, []);
+
+  function clearChat(): void {
+    setChatHistory([]);
+    deleteFlowPool(currentFlowId).then((_) => {
+      CleanFlowPool();
+    });
+    //TODO tell backend to clear chat session
+    if (lockChat) setLockChat(false);
+  }
+
+  function handleSelectChange(event: string): void {
+    switch (event) {
+      case "builds":
+        clearChat();
+        break;
+      case "buildsNSession":
+        console.log("delete build and session");
+        break;
+    }
+  }
+
+  function updateChat(
+    chat: ChatMessageType,
+    message: string,
+    stream_url?: string,
+  ) {
+    chat.message = message;
+    updateFlowPool(chat.componentId, {
+      message,
+      sender_name: chat.sender_name ?? "Bot",
+      sender: chat.isSend ? "User" : "Machine",
+    });
+  }
+  const [files, setFiles] = useState<FilePreviewType[]>([]);
+  const [isDragging, setIsDragging] = useState(false);
+
+  const { dragOver, dragEnter, dragLeave, onDrop } = useDragAndDrop(
+    setIsDragging,
+    setFiles,
+    currentFlowId,
+    setErrorData,
+  );
+
+  return (
+    <div
+      className="eraser-column-arrangement"
+      onDragOver={dragOver}
+      onDragEnter={dragEnter}
+      onDragLeave={dragLeave}
+      onDrop={onDrop}
+    >
+      <div className="eraser-size">
+        <div className="eraser-position">
+          <Button
+            className="flex gap-1"
+            unstyled
+            disabled={lockChat}
+            onClick={() => handleSelectChange("builds")}
+          >
+            <IconComponent
+              name="Eraser"
+              className={classNames("h-5 w-5 text-primary")}
+              aria-hidden="true"
+            />
+          </Button>
+        </div>
+        <div ref={messagesRef} className="chat-message-div">
+          {chatHistory?.length > 0 ? (
+            chatHistory.map((chat, index) => (
+              <ChatMessage
+                setLockChat={setLockChat}
+                lockChat={lockChat}
+                chat={chat}
+                lastMessage={chatHistory.length - 1 === index ? true : false}
+                key={`${chat.componentId}-${index}`}
+                updateChat={updateChat}
+              />
+            ))
+          ) : (
+            <div className="chat-alert-box">
+              <span>
+                👋 <span className="langflow-chat-span">Langflow Chat</span>
+              </span>
+              <br />
+              <div className="langflow-chat-desc">
+                <span className="langflow-chat-desc-span">
+                  {CHAT_FIRST_INITIAL_TEXT}{" "}
+                  <span>
+                    <IconComponent
+                      name="MessageSquareMore"
+                      className="mx-1 inline h-5 w-5 animate-bounce"
+                    />
+                  </span>{" "}
+                  {CHAT_SECOND_INITIAL_TEXT}
+                </span>
+              </div>
+            </div>
+          )}
+          <div ref={ref}></div>
+        </div>
+        <div className="langflow-chat-input-div">
+          <div className="langflow-chat-input">
+            <ChatInput
+              chatValue={chatValue}
+              noInput={!inputTypes.includes("ChatInput")}
+              lockChat={lockChat}
+              sendMessage={({ repeat, files }) =>
+                sendMessage({ repeat, files })
+              }
+              setChatValue={(value) => {
+                setChatValue(value);
+              }}
+              inputRef={ref}
+              files={files}
+              setFiles={setFiles}
+              isDragging={isDragging}
+            />
+          </div>
+        </div>
+      </div>
+    </div>
+  );
+}
diff --git a/src/frontend/src/modals/IOModal/index.tsx b/src/frontend/src/modals/IOModal/index.tsx
new file mode 100644
index 00000000000..4ff0e639368
--- /dev/null
+++ b/src/frontend/src/modals/IOModal/index.tsx
@@ -0,0 +1,538 @@
+import { useEffect, useState } from "react";
+import AccordionComponent from "../../components/accordionComponent";
+import IconComponent from "../../components/genericIconComponent";
+import ShadTooltip from "../../components/shadTooltipComponent";
+import { Badge } from "../../components/ui/badge";
+import { Button } from "../../components/ui/button";
+import {
+  Tabs,
+  TabsContent,
+  TabsList,
+  TabsTrigger,
+} from "../../components/ui/tabs";
+import { CHAT_FORM_DIALOG_SUBTITLE } from "../../constants/constants";
+import { InputOutput } from "../../constants/enums";
+import { getMessagesTable } from "../../controllers/API";
+import useAlertStore from "../../stores/alertStore";
+import useFlowStore from "../../stores/flowStore";
+import useFlowsManagerStore from "../../stores/flowsManagerStore";
+import { useMessagesStore } from "../../stores/messagesStore";
+import { IOModalPropsType } from "../../types/components";
+import { NodeDataType, NodeType } from "../../types/flow";
+import { updateVerticesOrder } from "../../utils/buildUtils";
+import { cn } from "../../utils/utils";
+import BaseModal from "../baseModal";
+import IOFieldView from "./components/IOFieldView";
+import SessionView from "./components/SessionView";
+import useRemoveSession from "./components/SessionView/hooks";
+import ChatView from "./components/chatView";
+
+export default function IOModal({
+  children,
+  open,
+  setOpen,
+  disable,
+}: IOModalPropsType): JSX.Element {
+  const allNodes = useFlowStore((state) => state.nodes);
+  const setMessages = useMessagesStore((state) => state.setMessages);
+  const inputs = useFlowStore((state) => state.inputs).filter(
+    (input) => input.type !== "ChatInput",
+  );
+  const chatInput = useFlowStore((state) => state.inputs).find(
+    (input) => input.type === "ChatInput",
+  );
+  const outputs = useFlowStore((state) => state.outputs).filter(
+    (output) => output.type !== "ChatOutput",
+  );
+  const chatOutput = useFlowStore((state) => state.outputs).find(
+    (output) => output.type === "ChatOutput",
+  );
+  const nodes = useFlowStore((state) => state.nodes).filter(
+    (node) =>
+      inputs.some((input) => input.id === node.id) ||
+      outputs.some((output) => output.id === node.id),
+  );
+  const haveChat = chatInput || chatOutput;
+  const [selectedTab, setSelectedTab] = useState(
+    inputs.length > 0 ? 1 : outputs.length > 0 ? 2 : 0,
+  );
+  const setErrorData = useAlertStore((state) => state.setErrorData);
+  const setSuccessData = useAlertStore((state) => state.setSuccessData);
+
+  function startView() {
+    if (!chatInput && !chatOutput) {
+      if (inputs.length > 0) {
+        return inputs[0];
+      } else {
+        return outputs[0];
+      }
+    } else {
+      return undefined;
+    }
+  }
+
+  const [selectedViewField, setSelectedViewField] = useState<
+    { type: string; id: string } | undefined
+  >(startView());
+
+  const buildFlow = useFlowStore((state) => state.buildFlow);
+  const setIsBuilding = useFlowStore((state) => state.setIsBuilding);
+  const lockChat = useFlowStore((state) => state.lockChat);
+  const setLockChat = useFlowStore((state) => state.setLockChat);
+  const [chatValue, setChatValue] = useState("");
+  const isBuilding = useFlowStore((state) => state.isBuilding);
+  const currentFlow = useFlowsManagerStore((state) => state.currentFlow);
+  const setNode = useFlowStore((state) => state.setNode);
+  const [sessions, setSessions] = useState<string[]>([]);
+  const messages = useMessagesStore((state) => state.messages);
+  const setColumns = useMessagesStore((state) => state.setColumns);
+  const flowPool = useFlowStore((state) => state.flowPool);
+
+  async function sendMessage({
+    repeat = 1,
+    files,
+  }: {
+    repeat: number;
+    files?: string[];
+  }): Promise<void> {
+    if (isBuilding) return;
+    setIsBuilding(true);
+    setLockChat(true);
+    setChatValue("");
+    for (let i = 0; i < repeat; i++) {
+      await buildFlow({
+        input_value: chatValue,
+        startNodeId: chatInput?.id,
+        files: files,
+        silent: true,
+        setLockChat,
+      }).catch((err) => {
+        console.error(err);
+        setLockChat(false);
+      });
+    }
+    const { rows, columns } = await getMessagesTable("union", currentFlow!.id, [
+      "index",
+      "flow_id",
+    ]);
+    setMessages(rows);
+    setColumns(columns);
+    setLockChat(false);
+    if (chatInput) {
+      setNode(chatInput.id, (node: NodeType) => {
+        const newNode = { ...node };
+
+        newNode.data.node!.template["input_value"].value = chatValue;
+        return newNode;
+      });
+    }
+  }
+
+  const { handleRemoveSession } = useRemoveSession(
+    setSuccessData,
+    setErrorData,
+  );
+
+  useEffect(() => {
+    setSelectedTab(inputs.length > 0 ? 1 : outputs.length > 0 ? 2 : 0);
+  }, [allNodes.length]);
+
+  const flow_sessions = allNodes.map((node) => {
+    if ((node.data as NodeDataType).node?.template["session_id"]) {
+      return {
+        id: node.id,
+        session_id: (node.data as NodeDataType).node?.template["session_id"]
+          .value,
+      };
+    }
+  });
+
+  useEffect(() => {
+    setSelectedViewField(startView());
+    if (haveChat) {
+      getMessagesTable("union", currentFlow!.id, ["index", "flow_id"]).then(
+        ({ rows, columns }) => {
+          setMessages(rows);
+          setColumns(columns);
+        },
+      );
+    }
+  }, [open]);
+
+  useEffect(() => {
+    const sessions = new Set<string>();
+    messages.forEach((row) => {
+      sessions.add(row.session_id);
+    });
+    setSessions(Array.from(sessions));
+    sessions;
+  }, [messages]);
+
+  return (
+    <BaseModal
+      size={"md-thin"}
+      open={open}
+      setOpen={setOpen}
+      disable={disable}
+      onSubmit={() => sendMessage({ repeat: 1 })}
+    >
+      <BaseModal.Trigger>{children}</BaseModal.Trigger>
+      {/* TODO ADAPT TO ALL TYPES OF INPUTS AND OUTPUTS */}
+      <BaseModal.Header description={CHAT_FORM_DIALOG_SUBTITLE}>
+        <div className="flex items-center">
+          <span className="pr-2">Playground</span>
+          <IconComponent
+            name="BotMessageSquareIcon"
+            className="h-6 w-6 pl-1 text-foreground"
+            aria-hidden="true"
+          />
+        </div>
+      </BaseModal.Header>
+      <BaseModal.Content overflowHidden>
+        <div className="flex h-full flex-col">
+          <div className="flex-max-width h-full">
+            <div
+              className={cn(
+                "mr-6 flex h-full w-2/6 flex-shrink-0 flex-col justify-start transition-all duration-300",
+              )}
+            >
+              <Tabs
+                value={selectedTab.toString()}
+                className={
+                  "flex h-full flex-col overflow-y-auto rounded-md border bg-muted text-center custom-scroll"
+                }
+                onValueChange={(value) => {
+                  setSelectedTab(Number(value));
+                }}
+              >
+                <div className="api-modal-tablist-div">
+                  <TabsList>
+                    {inputs.length > 0 && (
+                      <TabsTrigger value={"1"}>Inputs</TabsTrigger>
+                    )}
+                    {outputs.length > 0 && (
+                      <TabsTrigger value={"2"}>Outputs</TabsTrigger>
+                    )}
+                    {haveChat && (
+                      <TabsTrigger value={"0"}>Memories</TabsTrigger>
+                    )}
+                  </TabsList>
+                </div>
+
+                <TabsContent value={"1"} className="api-modal-tabs-content">
+                  {nodes
+                    .filter((node) =>
+                      inputs.some((input) => input.id === node.id),
+                    )
+                    .map((node, index) => {
+                      const input = inputs.find(
+                        (input) => input.id === node.id,
+                      )!;
+                      return (
+                        <div
+                          className="file-component-accordion-div"
+                          key={index}
+                        >
+                          <AccordionComponent
+                            trigger={
+                              <div className="file-component-badge-div">
+                                <ShadTooltip
+                                  content={input.id}
+                                  styleClasses="z-50"
+                                >
+                                  <div>
+                                    <Badge variant="gray" size="md">
+                                      {node.data.node.display_name}
+                                    </Badge>
+                                  </div>
+                                </ShadTooltip>
+                                <div
+                                  className="-mb-1 pr-4"
+                                  onClick={(event) => {
+                                    event.stopPropagation();
+                                    setSelectedViewField(input);
+                                  }}
+                                >
+                                  <IconComponent
+                                    className="h-4 w-4"
+                                    name="ExternalLink"
+                                  ></IconComponent>
+                                </div>
+                              </div>
+                            }
+                            key={index}
+                            keyValue={input.id}
+                          >
+                            <div className="file-component-tab-column">
+                              <div className="">
+                                {input && (
+                                  <IOFieldView
+                                    type={InputOutput.INPUT}
+                                    left={true}
+                                    fieldType={input.type}
+                                    fieldId={input.id}
+                                  />
+                                )}
+                              </div>
+                            </div>
+                          </AccordionComponent>
+                        </div>
+                      );
+                    })}
+                </TabsContent>
+                <TabsContent value={"2"} className="api-modal-tabs-content">
+                  {nodes
+                    .filter((node) =>
+                      outputs.some((output) => output.id === node.id),
+                    )
+                    .map((node, index) => {
+                      const output = outputs.find(
+                        (output) => output.id === node.id,
+                      )!;
+                      const textOutputValue =
+                        (flowPool[node!.id] ?? [])[
+                          (flowPool[node!.id]?.length ?? 1) - 1
+                        ]?.data?.artifacts ?? "";
+                      const disabled =
+                        textOutputValue === "" ||
+                        JSON.stringify(textOutputValue) === "{}";
+                      return (
+                        <div
+                          className="file-component-accordion-div"
+                          key={index}
+                        >
+                          <AccordionComponent
+                            disabled={disabled}
+                            trigger={
+                              <div className="file-component-badge-div">
+                                <ShadTooltip
+                                  content={output.id}
+                                  styleClasses="z-50"
+                                >
+                                  <div>
+                                    <Badge variant="gray" size="md">
+                                      {node.data.node.display_name}
+                                    </Badge>
+                                  </div>
+                                </ShadTooltip>
+                                <div
+                                  className="-mb-1 pr-4"
+                                  onClick={(event) => {
+                                    event.stopPropagation();
+                                    setSelectedViewField(output);
+                                  }}
+                                >
+                                  <IconComponent
+                                    className="h-4 w-4"
+                                    name="ExternalLink"
+                                  ></IconComponent>
+                                </div>
+                              </div>
+                            }
+                            key={index}
+                            keyValue={output.id}
+                          >
+                            <div className="file-component-tab-column">
+                              <div className="">
+                                {output && (
+                                  <IOFieldView
+                                    type={InputOutput.OUTPUT}
+                                    left={true}
+                                    fieldType={output.type}
+                                    fieldId={output.id}
+                                  />
+                                )}
+                              </div>
+                            </div>
+                          </AccordionComponent>
+                        </div>
+                      );
+                    })}
+                </TabsContent>
+                <TabsContent value={"0"} className="api-modal-tabs-content">
+                  {sessions.map((session, index) => {
+                    return (
+                      <div
+                        className="file-component-accordion-div cursor-pointer"
+                        onClick={(event) => {
+                          event.stopPropagation();
+                          setSelectedViewField({
+                            id: session,
+                            type: "Session",
+                          });
+                        }}
+                      >
+                        <div className="flex w-full items-center justify-between gap-2 overflow-hidden border-b px-2 py-3.5 align-middle">
+                          <ShadTooltip styleClasses="z-50" content={session}>
+                            <div className="flex min-w-0">
+                              <Badge
+                                variant="gray"
+                                size="md"
+                                className="block truncate"
+                              >
+                                {session === currentFlow?.id
+                                  ? "Default Session"
+                                  : session}
+                              </Badge>
+                            </div>
+                          </ShadTooltip>
+                          <div className="flex shrink-0 items-center justify-center gap-2 align-middle">
+                            <Button
+                              unstyled
+                              size="icon"
+                              onClick={(e) => {
+                                e.preventDefault();
+                                e.stopPropagation();
+                                handleRemoveSession(session);
+                                if (selectedViewField?.id === session)
+                                  setSelectedViewField(undefined);
+                              }}
+                            >
+                              <ShadTooltip
+                                styleClasses="z-50"
+                                content={"Delete"}
+                              >
+                                <div>
+                                  <IconComponent
+                                    name="Trash2"
+                                    className="h-4 w-4"
+                                  ></IconComponent>
+                                </div>
+                              </ShadTooltip>
+                            </Button>
+                            {/* <div>
+                              <ShadTooltip
+                                styleClasses="z-50"
+                                content={
+                                  flow_sessions.some(
+                                    (f_session) =>
+                                      f_session?.session_id === session,
+                                  )
+                                    ? "Active Session"
+                                    : "Inactive Session"
+                                }
+                              >
+                                <div
+                                  className={cn(
+                                    "h-2 w-2 rounded-full",
+                                    flow_sessions.some(
+                                      (f_session) =>
+                                        f_session?.session_id === session,
+                                    )
+                                      ? "bg-status-green"
+                                      : "bg-slate-500",
+                                  )}
+                                ></div>
+                              </ShadTooltip>
+                            </div> */}
+                          </div>
+                        </div>
+                      </div>
+                    );
+                  })}
+                </TabsContent>
+              </Tabs>
+            </div>
+            <div className="flex h-full min-w-96 flex-grow">
+              {selectedViewField && (
+                <div
+                  className={cn(
+                    "flex h-full w-full flex-col items-start gap-4 pt-4",
+                    !selectedViewField ? "hidden" : "",
+                  )}
+                >
+                  <div className="font-xl flex items-center justify-center gap-3 font-semibold">
+                    {haveChat && (
+                      <button onClick={() => setSelectedViewField(undefined)}>
+                        <IconComponent
+                          name={"ArrowLeft"}
+                          className="h-6 w-6"
+                        ></IconComponent>
+                      </button>
+                    )}
+                    {
+                      nodes.find((node) => node.id === selectedViewField.id)
+                        ?.data.node.display_name
+                    }
+                  </div>
+                  <div className="h-full w-full">
+                    {inputs.some(
+                      (input) => input.id === selectedViewField.id,
+                    ) && (
+                      <IOFieldView
+                        type={InputOutput.INPUT}
+                        left={false}
+                        fieldType={selectedViewField.type!}
+                        fieldId={selectedViewField.id!}
+                      />
+                    )}
+                    {outputs.some(
+                      (output) => output.id === selectedViewField.id,
+                    ) && (
+                      <IOFieldView
+                        type={InputOutput.OUTPUT}
+                        left={false}
+                        fieldType={selectedViewField.type!}
+                        fieldId={selectedViewField.id!}
+                      />
+                    )}
+                    {sessions.some(
+                      (session) => session === selectedViewField.id,
+                    ) && (
+                      <SessionView
+                        rows={messages.filter(
+                          (message) =>
+                            message.session_id === selectedViewField.id,
+                        )}
+                      />
+                    )}
+                  </div>
+                </div>
+              )}
+              <div
+                className={cn(
+                  "flex h-full w-full",
+                  selectedViewField ? "hidden" : "",
+                )}
+              >
+                {haveChat ? (
+                  <ChatView
+                    sendMessage={sendMessage}
+                    chatValue={chatValue}
+                    setChatValue={setChatValue}
+                    lockChat={lockChat}
+                    setLockChat={setLockChat}
+                  />
+                ) : (
+                  <span className="flex h-full w-full items-center justify-center font-thin text-muted-foreground">
+                    Select an IO component to view
+                  </span>
+                )}
+              </div>
+            </div>
+          </div>
+        </div>
+      </BaseModal.Content>
+      {!haveChat ? (
+        <BaseModal.Footer
+          submit={{
+            label: "Run Flow",
+            icon: (
+              <IconComponent
+                name={isBuilding ? "Loader2" : "Zap"}
+                className={cn(
+                  "h-4 w-4",
+                  isBuilding
+                    ? "animate-spin"
+                    : "fill-current text-medium-indigo",
+                )}
+              />
+            ),
+          }}
+        />
+      ) : (
+        <></>
+      )}
+    </BaseModal>
+  );
+}
diff --git a/src/frontend/src/modals/SecretKeyModal/index.tsx b/src/frontend/src/modals/SecretKeyModal/index.tsx
deleted file mode 100644
index b4b16a04f79..00000000000
--- a/src/frontend/src/modals/SecretKeyModal/index.tsx
+++ /dev/null
@@ -1,181 +0,0 @@
-import * as Form from "@radix-ui/react-form";
-import { useEffect, useRef, useState } from "react";
-import IconComponent from "../../components/genericIconComponent";
-import { Button } from "../../components/ui/button";
-import { Input } from "../../components/ui/input";
-import { createApiKey } from "../../controllers/API";
-import useAlertStore from "../../stores/alertStore";
-import { ApiKeyType } from "../../types/components";
-import { nodeIconsLucide } from "../../utils/styleUtils";
-import BaseModal from "../baseModal";
-
-export default function SecretKeyModal({
-  title,
-  cancelText,
-  confirmationText,
-  children,
-  icon,
-  data,
-  onCloseModal,
-}: ApiKeyType) {
-  const Icon: any = nodeIconsLucide[icon];
-  const [open, setOpen] = useState(false);
-  const [apiKeyName, setApiKeyName] = useState(data?.apikeyname ?? "");
-  const [apiKeyValue, setApiKeyValue] = useState("");
-  const [renderKey, setRenderKey] = useState(false);
-  const [textCopied, setTextCopied] = useState(true);
-  const setSuccessData = useAlertStore((state) => state.setSuccessData);
-  const inputRef = useRef<HTMLInputElement | null>(null);
-
-  useEffect(() => {
-    if (open) {
-      setRenderKey(false);
-      resetForm();
-    } else {
-      onCloseModal();
-    }
-  }, [open]);
-
-  function resetForm() {
-    setApiKeyName("");
-    setApiKeyValue("");
-  }
-
-  const handleCopyClick = async () => {
-    if (apiKeyValue) {
-      await navigator.clipboard.writeText(apiKeyValue);
-      inputRef?.current?.focus();
-      inputRef?.current?.select();
-      setSuccessData({
-        title: "API Key copied!",
-      });
-      setTextCopied(false);
-
-      setTimeout(() => {
-        setTextCopied(true);
-      }, 3000);
-    }
-  };
-
-  function handleAddNewKey() {
-    createApiKey(apiKeyName)
-      .then((res) => {
-        setApiKeyValue(res["api_key"]);
-      })
-      .catch((err) => {});
-  }
-
-  return (
-    <BaseModal size="small-h-full" open={open} setOpen={setOpen}>
-      <BaseModal.Trigger>{children}</BaseModal.Trigger>
-      <BaseModal.Header description={""}>
-        <span className="pr-2">{title}</span>
-        <Icon
-          name="icon"
-          className="h-6 w-6 pl-1 text-foreground"
-          aria-hidden="true"
-        />
-      </BaseModal.Header>
-      <BaseModal.Content>
-        {renderKey === true && (
-          <>
-            <span className="text-xs">
-              Please save this secret key somewhere safe and accessible. For
-              security reasons,{" "}
-              <strong>you won't be able to view it again</strong> through your
-              account. If you lose this secret key, you'll need to generate a
-              new one.
-            </span>
-            <div className="flex pt-3">
-              <div className="w-full">
-                <Input ref={inputRef} readOnly={true} value={apiKeyValue} />
-              </div>
-
-              <div>
-                <Button
-                  className="ml-3"
-                  onClick={() => {
-                    handleCopyClick();
-                  }}
-                >
-                  {textCopied ? (
-                    <IconComponent name="Copy" className="h-4 w-4" />
-                  ) : (
-                    <IconComponent name="Check" className="h-4 w-4" />
-                  )}
-                </Button>
-              </div>
-            </div>
-          </>
-        )}
-
-        <Form.Root
-          onSubmit={(event) => {
-            setRenderKey(true);
-            handleAddNewKey();
-            event.preventDefault();
-          }}
-        >
-          {renderKey === false && (
-            <div className="grid gap-5">
-              <Form.Field name="username">
-                <div
-                  style={{
-                    display: "flex",
-                    alignItems: "baseline",
-                    justifyContent: "space-between",
-                  }}
-                >
-                  <Form.Label className="data-[invalid]:label-invalid">
-                    Name (optional){" "}
-                  </Form.Label>
-                </div>
-                <Form.Control asChild>
-                  <input
-                    onChange={({ target: { value } }) => {
-                      setApiKeyName(value);
-                    }}
-                    value={apiKeyName}
-                    className="primary-input"
-                    placeholder="My key name"
-                  />
-                </Form.Control>
-              </Form.Field>
-            </div>
-          )}
-          {renderKey === false && (
-            <div className="float-right">
-              <Button
-                className="mr-3"
-                variant="outline"
-                onClick={() => {
-                  setOpen(false);
-                }}
-              >
-                {cancelText}
-              </Button>
-
-              <Form.Submit asChild>
-                <Button className="mt-8">{confirmationText}</Button>
-              </Form.Submit>
-            </div>
-          )}
-
-          {renderKey === true && (
-            <div className="float-right">
-              <Button
-                onClick={() => {
-                  setOpen(false);
-                  setRenderKey(false);
-                }}
-                className="mt-8"
-              >
-                Done
-              </Button>
-            </div>
-          )}
-        </Form.Root>
-      </BaseModal.Content>
-    </BaseModal>
-  );
-}
diff --git a/src/frontend/src/modals/StoreApiKeyModal/index.tsx b/src/frontend/src/modals/StoreApiKeyModal/index.tsx
deleted file mode 100644
index 3472f77dd22..00000000000
--- a/src/frontend/src/modals/StoreApiKeyModal/index.tsx
+++ /dev/null
@@ -1,136 +0,0 @@
-import * as Form from "@radix-ui/react-form";
-import { useContext, useState } from "react";
-import IconComponent from "../../components/genericIconComponent";
-import { Button } from "../../components/ui/button";
-import { Input } from "../../components/ui/input";
-import { AuthContext } from "../../contexts/authContext";
-import { addApiKeyStore } from "../../controllers/API";
-import useAlertStore from "../../stores/alertStore";
-import { useStoreStore } from "../../stores/storeStore";
-import { StoreApiKeyType } from "../../types/components";
-import BaseModal from "../baseModal";
-
-export default function StoreApiKeyModal({
-  children,
-  disabled = false,
-}: StoreApiKeyType) {
-  if (disabled) return <>{children}</>;
-  const [open, setOpen] = useState(false);
-  const setSuccessData = useAlertStore((state) => state.setSuccessData);
-  const setErrorData = useAlertStore((state) => state.setErrorData);
-  const { storeApiKey } = useContext(AuthContext);
-  const [apiKeyValue, setApiKeyValue] = useState("");
-
-  const validApiKey = useStoreStore((state) => state.validApiKey);
-  const hasApiKey = useStoreStore((state) => state.hasApiKey);
-  const setHasApiKey = useStoreStore((state) => state.updateHasApiKey);
-  const setValidApiKey = useStoreStore((state) => state.updateValidApiKey);
-  const setLoadingApiKey = useStoreStore((state) => state.updateLoadingApiKey);
-
-  const handleSaveKey = () => {
-    if (apiKeyValue) {
-      addApiKeyStore(apiKeyValue).then(
-        () => {
-          setSuccessData({
-            title: "Success! Your API Key has been saved.",
-          });
-          storeApiKey(apiKeyValue);
-          setOpen(false);
-          setHasApiKey(true);
-          setValidApiKey(true);
-          setLoadingApiKey(false);
-        },
-        (error) => {
-          setErrorData({
-            title: "There was an error saving the API Key, please try again.",
-            list: [error["response"]["data"]["detail"]],
-          });
-          setHasApiKey(false);
-          setValidApiKey(false);
-          setLoadingApiKey(false);
-        }
-      );
-    }
-  };
-
-  return (
-    <BaseModal size="small-h-full" open={open && !disabled} setOpen={setOpen}>
-      <BaseModal.Trigger asChild>{children}</BaseModal.Trigger>
-      <BaseModal.Header
-        description={
-          (hasApiKey && !validApiKey
-            ? "Your API key is not valid. "
-            : !hasApiKey
-            ? "You don't have an API key. "
-            : "") + "Insert your Langflow API key."
-        }
-      >
-        <span className="pr-2">API Key</span>
-        <IconComponent
-          name="Key"
-          className="h-6 w-6 pl-1 text-foreground"
-          aria-hidden="true"
-        />
-      </BaseModal.Header>
-      <BaseModal.Content>
-        <Form.Root
-          onSubmit={(event) => {
-            event.preventDefault();
-          }}
-        >
-          <div className="grid gap-5">
-            <Form.Field name="apikey">
-              <div className="flex items-center justify-between gap-2">
-                <Form.Control asChild>
-                  <Input
-                    //fake api key
-                    value={apiKeyValue}
-                    type="password"
-                    onChange={({ target: { value } }) => {
-                      setApiKeyValue(value);
-                    }}
-                    placeholder="Insert your API Key"
-                  />
-                </Form.Control>
-              </div>
-            </Form.Field>
-          </div>
-          <div className="flex items-end justify-between">
-            <span className="pr-1 text-xs text-muted-foreground">
-              Don’t have an API key? Sign up at{" "}
-              <a
-                className="text-high-indigo underline"
-                href="https://langflow.store/"
-                target="_blank"
-              >
-                langflow.store
-              </a>
-            </span>
-            <div className="">
-              <Button
-                className="mr-3"
-                variant="outline"
-                onClick={() => {
-                  setOpen(false);
-                }}
-              >
-                Cancel
-              </Button>
-
-              <Form.Submit asChild>
-                <Button
-                  className="mt-8"
-                  onClick={() => {
-                    handleSaveKey();
-                  }}
-                >
-                  Save
-                </Button>
-              </Form.Submit>
-            </div>
-          </div>
-        </Form.Root>
-      </BaseModal.Content>
-    </BaseModal>
-  );
-}
diff --git a/src/frontend/src/modals/apiModal/index.tsx b/src/frontend/src/modals/apiModal/index.tsx
new file mode 100644
index 00000000000..36ded5afb33
--- /dev/null
+++ b/src/frontend/src/modals/apiModal/index.tsx
@@ -0,0 +1,268 @@
+import "ace-builds/src-noconflict/ext-language_tools";
+import "ace-builds/src-noconflict/mode-python";
+import "ace-builds/src-noconflict/theme-github";
+import "ace-builds/src-noconflict/theme-twilight";
+import { ReactNode, forwardRef, useContext, useEffect, useState } from "react";
+// import "ace-builds/webpack-resolver";
+import { cloneDeep } from "lodash";
+import CodeTabsComponent from "../../components/codeTabsComponent";
+import IconComponent from "../../components/genericIconComponent";
+import { EXPORT_CODE_DIALOG } from "../../constants/constants";
+import { AuthContext } from "../../contexts/authContext";
+import { useTweaksStore } from "../../stores/tweaksStore";
+import { InputFieldType } from "../../types/api";
+import { uniqueTweakType } from "../../types/components";
+import { FlowType } from "../../types/flow/index";
+import BaseModal from "../baseModal";
+import { buildContent } from "./utils/build-content";
+import { buildTweaks } from "./utils/build-tweaks";
+import { checkCanBuildTweakObject } from "./utils/check-can-build-tweak-object";
+import { getChangesType } from "./utils/get-changes-types";
+import { getCurlRunCode, getCurlWebhookCode } from "./utils/get-curl-code";
+import getJsApiCode from "./utils/get-js-api-code";
+import { getNodesWithDefaultValue } from "./utils/get-nodes-with-default-value";
+import getPythonApiCode from "./utils/get-python-api-code";
+import getPythonCode from "./utils/get-python-code";
+import { getValue } from "./utils/get-value";
+import getWidgetCode from "./utils/get-widget-code";
+import { createTabsArray } from "./utils/tabs-array";
+
+const ApiModal = forwardRef(
+  (
+    {
+      flow,
+      children,
+      open: myOpen,
+      setOpen: mySetOpen,
+    }: {
+      flow: FlowType;
+      children: ReactNode;
+      open?: boolean;
+      setOpen?: (a: boolean | ((o?: boolean) => boolean)) => void;
+    },
+    ref,
+  ) => {
+    const tweak = useTweaksStore((state) => state.tweak);
+    const addTweaks = useTweaksStore((state) => state.setTweak);
+    const setTweaksList = useTweaksStore((state) => state.setTweaksList);
+    const tweaksList = useTweaksStore((state) => state.tweaksList);
+
+    const [activeTweaks, setActiveTweaks] = useState(false);
+    const { autoLogin } = useContext(AuthContext);
+    const [open, setOpen] =
+      mySetOpen !== undefined && myOpen !== undefined
+        ? [myOpen, mySetOpen]
+        : useState(false);
+    const [activeTab, setActiveTab] = useState("0");
+    const pythonApiCode = getPythonApiCode(
+      flow?.id,
+      autoLogin,
+      tweak,
+      flow?.endpoint_name,
+    );
+    const jsApiCode = getJsApiCode(
+      flow?.id,
+      autoLogin,
+      tweak,
+      flow?.endpoint_name,
+    );
+    const runCurlCode = getCurlRunCode(
+      flow?.id,
+      autoLogin,
+      tweak,
+      flow?.endpoint_name,
+    );
+    const webhookCurlCode = getCurlWebhookCode(
+      flow?.id,
+      autoLogin,
+      flow?.endpoint_name,
+    );
+    const pythonCode = getPythonCode(flow?.name, tweak);
+    const widgetCode = getWidgetCode(flow?.id, flow?.name, autoLogin);
+    const includeWebhook = flow.webhook;
+    const tweaksCode = buildTweaks(flow);
+    const codesArray = [
+      runCurlCode,
+      webhookCurlCode,
+      pythonApiCode,
+      jsApiCode,
+      pythonCode,
+      widgetCode,
+    ];
+    const [tabs, setTabs] = useState(
+      createTabsArray(codesArray, includeWebhook),
+    );
+
+    const canShowTweaks =
+      flow &&
+      flow["data"] &&
+      flow["data"]!["nodes"] &&
+      tweak &&
+      tweak?.length > 0 &&
+      activeTweaks === true;
+
+    const buildTweaksInitialState = () => {
+      const newTweak: any = [];
+      const t = buildTweaks(flow);
+      newTweak.push(t);
+      addTweaks(newTweak);
+      addCodes(newTweak);
+    };
+
+    useEffect(() => {
+      if (flow["data"]!["nodes"].length == 0) {
+        addTweaks([]);
+        setTweaksList([]);
+      } else {
+        buildTweaksInitialState();
+      }
+
+      filterNodes();
+
+      if (Object.keys(tweaksCode).length > 0) {
+        setActiveTab("0");
+        setTabs(createTabsArray(codesArray, includeWebhook, true));
+      } else {
+        setTabs(createTabsArray(codesArray, includeWebhook, false));
+      }
+    }, [flow["data"]!["nodes"], open]);
+
+    useEffect(() => {
+      if (canShowTweaks) {
+        const nodes = flow["data"]!["nodes"];
+        nodes.forEach((element) => {
+          const nodeId = element["id"];
+          const template = element["data"]["node"]["template"];
+
+          Object.keys(template).forEach((templateField) => {
+            if (checkCanBuildTweakObject(element, templateField)) {
+              buildTweakObject(
+                nodeId,
+                element.data.node.template[templateField].value,
+                element.data.node.template[templateField],
+              );
+            }
+          });
+        });
+      } else {
+        buildTweaksInitialState();
+      }
+    }, [activeTweaks]);
+
+    const filterNodes = () => {
+      setTweaksList(getNodesWithDefaultValue(flow));
+    };
+
+    async function buildTweakObject(
+      tw: string,
+      changes: string | string[] | boolean | number | Object[] | Object,
+      template: InputFieldType,
+    ) {
+      changes = getChangesType(changes, template);
+
+      const existingTweak = tweak.find((element) => element.hasOwnProperty(tw));
+
+      if (existingTweak) {
+        existingTweak[tw][template["name"]!] = changes as string;
+
+        if (existingTweak[tw][template["name"]!] == template.value) {
+          tweak.forEach((element) => {
+            if (element[tw] && Object.keys(element[tw])?.length === 0) {
+              const filteredTweaks = tweak.filter((obj) => {
+                const prop = obj[Object.keys(obj)[0]].prop;
+                return prop !== undefined && prop !== null && prop !== "";
+              });
+              addTweaks(filteredTweaks);
+            }
+          });
+        }
+      } else {
+        const newTweak = {
+          [tw]: {
+            [template["name"]!]: changes,
+          },
+        } as uniqueTweakType;
+        tweak.push(newTweak);
+      }
+
+      if (tweak && tweak.length > 0) {
+        const cloneTweak = cloneDeep(tweak);
+        addCodes(cloneTweak);
+        addTweaks(cloneTweak);
+      }
+    }
+
+    const addCodes = (cloneTweak) => {
+      const pythonApiCode = getPythonApiCode(flow?.id, autoLogin, cloneTweak);
+      const runCurlCode = getCurlRunCode(
+        flow?.id,
+        autoLogin,
+        cloneTweak,
+        flow?.endpoint_name,
+      );
+      const jsApiCode = getJsApiCode(
+        flow?.id,
+        autoLogin,
+        cloneTweak,
+        flow?.endpoint_name,
+      );
+      const webhookCurlCode = getCurlWebhookCode(
+        flow?.id,
+        autoLogin,
+        flow?.endpoint_name,
+      );
+      const pythonCode = getPythonCode(flow?.name, cloneTweak);
+      const widgetCode = getWidgetCode(flow?.id, flow?.name, autoLogin);
+      if (tabs && tabs?.length > 0) {
+        let i = 0;
+        tabs![i].code = runCurlCode;
+        i++;
+        if (includeWebhook) {
+          tabs![i].code = webhookCurlCode;
+          i++;
+        }
+        tabs![i].code = pythonApiCode;
+        i++;
+        tabs![i].code = jsApiCode;
+        i++;
+        tabs![i].code = pythonCode;
+        i++;
+        tabs![i].code = widgetCode;
+      }
+    };
+
+    return (
+      <BaseModal open={open} setOpen={setOpen}>
+        <BaseModal.Trigger asChild>{children}</BaseModal.Trigger>
+        <BaseModal.Header description={EXPORT_CODE_DIALOG}>
+          <span className="pr-2">API</span>
+          <IconComponent
+            name="Code2"
+            className="h-6 w-6 pl-1 text-gray-800 dark:text-white"
+            aria-hidden="true"
+          />
+        </BaseModal.Header>
+        <BaseModal.Content overflowHidden>
+          <CodeTabsComponent
+            flow={flow}
+            tabs={tabs!}
+            activeTab={activeTab}
+            setActiveTab={setActiveTab}
+            tweaks={{
+              tweak,
+              tweaksList,
+              buildContent,
+              buildTweakObject,
+              getValue,
+            }}
+            activeTweaks={activeTweaks}
+            setActiveTweaks={setActiveTweaks}
+            allowExport
+          />
+        </BaseModal.Content>
+      </BaseModal>
+    );
+  },
+);
+
+export default ApiModal;
diff --git a/src/frontend/src/modals/apiModal/utils/build-content.tsx b/src/frontend/src/modals/apiModal/utils/build-content.tsx
new file mode 100644
index 00000000000..80468fe7144
--- /dev/null
+++ b/src/frontend/src/modals/apiModal/utils/build-content.tsx
@@ -0,0 +1,10 @@
+export function buildContent(value: string) {
+  const htmlContent = (
+    <div className="w-[200px]">
+      <span>{value != null && value != "" ? value : "None"}</span>
+    </div>
+  );
+  return htmlContent;
+}
+
+export default buildContent;
diff --git a/src/frontend/src/modals/apiModal/utils/build-tweaks.ts b/src/frontend/src/modals/apiModal/utils/build-tweaks.ts
new file mode 100644
index 00000000000..82d35302a90
--- /dev/null
+++ b/src/frontend/src/modals/apiModal/utils/build-tweaks.ts
@@ -0,0 +1,8 @@
+import { FlowType } from "../../../types/flow";
+
+export function buildTweaks(flow: FlowType) {
+  return flow.data!.nodes.reduce((acc, node) => {
+    acc[node.data.id] = {};
+    return acc;
+  }, {});
+}
diff --git a/src/frontend/src/modals/apiModal/utils/check-can-build-tweak-object.ts b/src/frontend/src/modals/apiModal/utils/check-can-build-tweak-object.ts
new file mode 100644
index 00000000000..5a859cae8ed
--- /dev/null
+++ b/src/frontend/src/modals/apiModal/utils/check-can-build-tweak-object.ts
@@ -0,0 +1,13 @@
+import { LANGFLOW_SUPPORTED_TYPES } from "../../../constants/constants";
+
+export const checkCanBuildTweakObject = (element, templateField) => {
+  return (
+    element.data.node.template[templateField] &&
+    templateField.charAt(0) !== "_" &&
+    element.data.node.template[templateField].show &&
+    LANGFLOW_SUPPORTED_TYPES.has(
+      element.data.node.template[templateField].type,
+    ) &&
+    templateField !== "code"
+  );
+};
diff --git a/src/frontend/src/modals/apiModal/utils/get-changes-types.ts b/src/frontend/src/modals/apiModal/utils/get-changes-types.ts
new file mode 100644
index 00000000000..e8e912ff3d5
--- /dev/null
+++ b/src/frontend/src/modals/apiModal/utils/get-changes-types.ts
@@ -0,0 +1,26 @@
+import { TemplateVariableType } from "../../../types/api";
+import { convertArrayToObj } from "../../../utils/reactflowUtils";
+
+export const getChangesType = (
+  changes: string | string[] | boolean | number | Object[] | Object,
+  template: TemplateVariableType,
+) => {
+  if (typeof changes === "string" && template.type === "float") {
+    changes = parseFloat(changes);
+  }
+  if (typeof changes === "string" && template.type === "int") {
+    changes = parseInt(changes);
+  }
+  if (template.list === true && Array.isArray(changes)) {
+    changes = changes?.filter((x) => x !== "");
+  }
+
+  if (template.type === "dict" && Array.isArray(changes)) {
+    changes = convertArrayToObj(changes);
+  }
+
+  if (template.type === "NestedDict") {
+    changes = JSON.stringify(changes);
+  }
+  return changes;
+};
diff --git a/src/frontend/src/modals/apiModal/utils/get-curl-code.tsx b/src/frontend/src/modals/apiModal/utils/get-curl-code.tsx
new file mode 100644
index 00000000000..c17118d1ab5
--- /dev/null
+++ b/src/frontend/src/modals/apiModal/utils/get-curl-code.tsx
@@ -0,0 +1,48 @@
+/**
+ * Function to get the curl code for the API
+ * @param {string} flowId - The id of the flow
+ * @param {boolean} isAuth - If the API is authenticated
+ * @returns {string} - The curl code
+ */
+export function getCurlRunCode(
+  flowId: string,
+  isAuth: boolean,
+  tweaksBuildedObject,
+  endpointName?: string,
+): string {
+  const tweaksObject = tweaksBuildedObject[0];
+  // show the endpoint name in the curl command if it exists
+  return `curl -X POST \\
+    "${window.location.protocol}//${window.location.host}/api/v1/run/${
+      endpointName || flowId
+    }?stream=false" \\
+    -H 'Content-Type: application/json'\\${
+      !isAuth ? `\n  -H 'x-api-key: <your api key>'\\` : ""
+    }
+    -d '{"input_value": "message",
+    "output_type": "chat",
+    "input_type": "chat",
+    "tweaks": ${JSON.stringify(tweaksObject, null, 2)}}'
+    `;
+}
+
+/**
+ * Generates a cURL command for making a POST request to a webhook endpoint.
+ *
+ * @param {Object} options - The options for generating the cURL command.
+ * @param {string} options.flowId - The ID of the flow.
+ * @param {boolean} options.isAuth - Indicates whether authentication is required.
+ * @param {string} options.endpointName - The name of the webhook endpoint.
+ * @returns {string} The cURL command.
+ */
+export function getCurlWebhookCode(flowId, isAuth, endpointName?: string) {
+  return `curl -X POST \\
+  "${window.location.protocol}//${window.location.host}/api/v1/webhook/${
+    endpointName || flowId
+  }" \\
+  -H 'Content-Type: application/json'\\${
+    !isAuth ? `\n  -H 'x-api-key: <your api key>'\\` : ""
+  }
+  -d '{"any": "data"}'
+  `;
+}
diff --git a/src/frontend/src/modals/apiModal/utils/get-js-api-code.tsx b/src/frontend/src/modals/apiModal/utils/get-js-api-code.tsx
new file mode 100644
index 00000000000..e49817d8192
--- /dev/null
+++ b/src/frontend/src/modals/apiModal/utils/get-js-api-code.tsx
@@ -0,0 +1,119 @@
+/**
+ * Function to generate JavaScript code for interfacing with an API using the LangflowClient class.
+ * @param {string} flowId - The id of the flow.
+ * @param {boolean} isAuth - Whether the API requires authentication.
+ * @param {any[]} tweaksBuildedObject - Customizations applied to the flow.
+ * @param {string} [endpointName] - Optional endpoint name.
+ * @returns {string} - The JavaScript code as a string.
+ */
+export default function getJsApiCode(
+  flowId: string,
+  isAuth: boolean,
+  tweaksBuildedObject: any[],
+  endpointName?: string,
+): string {
+  let tweaksString = "{}";
+  if (tweaksBuildedObject && tweaksBuildedObject.length > 0) {
+    const tweaksObject = tweaksBuildedObject[0];
+    if (!tweaksObject) {
+      throw new Error("Expected tweaks object is not provided.");
+    }
+    tweaksString = JSON.stringify(tweaksObject, null, 2);
+  }
+  return `class LangflowClient {
+    constructor(baseURL, apiKey) {
+        this.baseURL = baseURL;
+        this.apiKey = apiKey;
+    }
+    async post(endpoint, body, headers = {"Content-Type": "application/json"}) {
+        if (this.apiKey) {
+            headers["Authorization"] = \`Bearer \${this.apiKey}\`;
+        }
+        const url = \`\${this.baseURL}\${endpoint}\`;
+        try {
+            const response = await fetch(url, {
+                method: 'POST',
+                headers: headers,
+                body: JSON.stringify(body)
+            });
+            if (!response.ok) {
+                throw new Error(\`HTTP error! Status: \${response.status}\`);
+            }
+            return await response.json();
+        } catch (error) {
+            console.error('Request Error:', error);
+            throw error;
+        }
+    }
+
+    async initiateSession(flowId, inputValue, stream = false, tweaks = {}) {
+        const endpoint = \`/api/v1/run/\${flowId}?stream=\${stream}\`;
+        return this.post(endpoint, { input_value: inputValue, tweaks: tweaks });
+    }
+
+    handleStream(streamUrl, onUpdate, onClose, onError) {
+        const eventSource = new EventSource(streamUrl);
+
+        eventSource.onmessage = event => {
+            const data = JSON.parse(event.data);
+            onUpdate(data);
+        };
+
+        eventSource.onerror = event => {
+            console.error('Stream Error:', event);
+            onError(event);
+            eventSource.close();
+        };
+
+        eventSource.addEventListener("close", () => {
+            onClose('Stream closed');
+            eventSource.close();
+        });
+
+        return eventSource;
+    }
+
+    async runFlow(flowIdOrName, inputValue, tweaks, stream = false, onUpdate, onClose, onError) {
+        try {
+            const initResponse = await this.initiateSession(flowIdOrName, inputValue, stream, tweaks);
+            console.log('Init Response:', initResponse);
+            if (stream && initResponse && initResponse.outputs && initResponse.outputs[0].outputs[0].artifacts.stream_url) {
+                const streamUrl = initResponse.outputs[0].outputs[0].artifacts.stream_url;
+                console.log(\`Streaming from: \${streamUrl}\`);
+                this.handleStream(streamUrl, onUpdate, onClose, onError);
+            }
+            return initResponse;
+        } catch (error) {
+            console.error('Error running flow:', error);
+            onError('Error initiating session');
+        }
+    }
+}
+
+async function main() {
+    const flowIdOrName = '${endpointName || flowId}';
+    const inputValue = 'User message';
+    const stream = false;
+    const langflowClient = new LangflowClient('${window.location.protocol}//${window.location.host}',
+        ${isAuth ? "'your-api-key'" : "null"});
+    const tweaks = ${tweaksString};
+    response = await langflowClient.runFlow(
+        flowIdOrName,
+        inputValue,
+        tweaks,
+        stream,
+        (data) => console.log("Received:", data.chunk), // onUpdate
+        (message) => console.log("Stream Closed:", message), // onClose
+        (error) => console.log("Stream Error:", error) // onError
+    );
+    if (!stream) {
+        const flowOutputs = response.outputs[0];
+        const firstComponentOutputs = flowOutputs.outputs[0];
+        const output = firstComponentOutputs.outputs.message;
+
+        console.log("Final Output:", output.message.text);
+    }
+}
+
+main();`;
+}
diff --git a/src/frontend/src/modals/apiModal/utils/get-nodes-with-default-value.ts b/src/frontend/src/modals/apiModal/utils/get-nodes-with-default-value.ts
new file mode 100644
index 00000000000..dc4fbaffcef
--- /dev/null
+++ b/src/frontend/src/modals/apiModal/utils/get-nodes-with-default-value.ts
@@ -0,0 +1,28 @@
+import { LANGFLOW_SUPPORTED_TYPES } from "../../../constants/constants";
+
+export const getNodesWithDefaultValue = (flow) => {
+  let arrNodesWithValues: string[] = [];
+
+  flow["data"]!["nodes"].forEach((node) => {
+    if (!node["data"]["node"]["template"]) {
+      return;
+    }
+    Object.keys(node["data"]["node"]["template"])
+      .filter(
+        (templateField) =>
+          templateField.charAt(0) !== "_" &&
+          node.data.node.template[templateField]?.show &&
+          LANGFLOW_SUPPORTED_TYPES.has(
+            node.data.node.template[templateField].type,
+          ),
+      )
+      .map((n, i) => {
+        arrNodesWithValues.push(node["id"]);
+      });
+  });
+
+  const tweaksListFiltered = arrNodesWithValues.filter((value, index, self) => {
+    return self.indexOf(value) === index;
+  });
+  return tweaksListFiltered;
+};
diff --git a/src/frontend/src/modals/apiModal/utils/get-python-api-code.tsx b/src/frontend/src/modals/apiModal/utils/get-python-api-code.tsx
new file mode 100644
index 00000000000..9aa946746ce
--- /dev/null
+++ b/src/frontend/src/modals/apiModal/utils/get-python-api-code.tsx
@@ -0,0 +1,118 @@
+/**
+ * Function to get the python code for the API
+ * @param {string} flowId - The id of the flow
+ * @param {boolean} isAuth - If the API is authenticated
+ * @param {any[]} tweaksBuildedObject - The tweaks
+ * @param {string} [endpointName] - The optional endpoint name
+ * @returns {string} - The python code
+ */
+export default function getPythonApiCode(
+  flowId: string,
+  isAuth: boolean,
+  tweaksBuildedObject: any[],
+  endpointName?: string,
+): string {
+  let tweaksString = "{}";
+  if (tweaksBuildedObject && tweaksBuildedObject.length > 0) {
+    const tweaksObject = tweaksBuildedObject[0];
+    if (!tweaksObject) {
+      throw new Error("expected tweaks");
+    }
+    tweaksString = JSON.stringify(tweaksObject, null, 2)
+      .replace(/true/g, "True")
+      .replace(/false/g, "False");
+  }
+
+  return `import argparse
+import json
+from argparse import RawTextHelpFormatter
+import requests
+from typing import Optional
+import warnings
+try:
+    from langflow.load import upload_file
+except ImportError:
+    warnings.warn("Langflow provides a function to help you upload files to the flow. Please install langflow to use it.")
+    upload_file = None
+
+BASE_API_URL = "${window.location.protocol}//${window.location.host}/api/v1/run"
+FLOW_ID = "${flowId}"
+ENDPOINT = "${endpointName || ""}" ${
+    endpointName
+      ? `# The endpoint name of the flow`
+      : `# You can set a specific endpoint name in the flow settings`
+  }
+
+# You can tweak the flow by adding a tweaks dictionary
+# e.g {"OpenAI-XXXXX": {"model_name": "gpt-4"}}
+TWEAKS = ${tweaksString}
+
+def run_flow(message: str,
+  endpoint: str,
+  output_type: str = "chat",
+  input_type: str = "chat",
+  tweaks: Optional[dict] = None,
+  api_key: Optional[str] = None) -> dict:
+    """
+    Run a flow with a given message and optional tweaks.
+
+    :param message: The message to send to the flow
+    :param endpoint: The ID or the endpoint name of the flow
+    :param tweaks: Optional tweaks to customize the flow
+    :return: The JSON response from the flow
+    """
+    api_url = f"{BASE_API_URL}/{endpoint}"
+
+    payload = {
+        "input_value": message,
+        "output_type": output_type,
+        "input_type": input_type,
+    }
+    headers = None
+    if tweaks:
+        payload["tweaks"] = tweaks
+    if api_key:
+        headers = {"x-api-key": api_key}
+    response = requests.post(api_url, json=payload, headers=headers)
+    return response.json()
+
+def main():
+    parser = argparse.ArgumentParser(description="""Run a flow with a given message and optional tweaks.\nRun it like: python <your file>.py "your message here" --endpoint "your_endpoint" --tweaks '{"key": "value"}'""",
+        formatter_class=RawTextHelpFormatter)
+    parser.add_argument("message", type=str, help="The message to send to the flow")
+    parser.add_argument("--endpoint", type=str, default=ENDPOINT or FLOW_ID, help="The ID or the endpoint name of the flow")
+    parser.add_argument("--tweaks", type=str, help="JSON string representing the tweaks to customize the flow", default=json.dumps(TWEAKS))
+    parser.add_argument("--api_key", type=str, help="API key for authentication", default=None)
+    parser.add_argument("--output_type", type=str, default="chat", help="The output type")
+    parser.add_argument("--input_type", type=str, default="chat", help="The input type")
+    parser.add_argument("--upload_file", type=str, help="Path to the file to upload", default=None)
+    parser.add_argument("--components", type=str, help="Components to upload the file to", default=None)
+
+    args = parser.parse_args()
+    try:
+      tweaks = json.loads(args.tweaks)
+    except json.JSONDecodeError:
+      raise ValueError("Invalid tweaks JSON string")
+
+    if args.upload_file:
+        if not upload_file:
+            raise ImportError("Langflow is not installed. Please install it to use the upload_file function.")
+        elif not args.components:
+            raise ValueError("You need to provide the components to upload the file to.")
+        tweaks = upload_file(file_path=args.upload_file, host=BASE_API_URL, flow_id=ENDPOINT, components=args.components, tweaks=tweaks)
+
+    response = run_flow(
+        message=args.message,
+        endpoint=args.endpoint,
+        output_type=args.output_type,
+        input_type=args.input_type,
+        tweaks=tweaks,
+        api_key=args.api_key
+    )
+
+    print(json.dumps(response, indent=2))
+
+if __name__ == "__main__":
+    main()
+`;
+}
diff --git a/src/frontend/src/modals/apiModal/utils/get-python-code.tsx b/src/frontend/src/modals/apiModal/utils/get-python-code.tsx
new file mode 100644
index 00000000000..734e16bbe83
--- /dev/null
+++ b/src/frontend/src/modals/apiModal/utils/get-python-code.tsx
@@ -0,0 +1,29 @@
+/**
+ * Function to get the python code for the API
+ * @param {string} flow - The current flow
+ * @param {any[]} tweaksBuildedObject - The tweaks
+ * @returns {string} - The python code
+ */
+export default function getPythonCode(
+  flowName: string,
+  tweaksBuildedObject: any[],
+): string {
+  let tweaksString = "{}";
+  if (tweaksBuildedObject && tweaksBuildedObject.length > 0) {
+    const tweaksObject = tweaksBuildedObject[0];
+    if (!tweaksObject) {
+      throw new Error("expected tweaks");
+    }
+    tweaksString = JSON.stringify(tweaksObject, null, 2)
+      .replace(/true/g, "True")
+      .replace(/false/g, "False");
+  }
+
+  return `from langflow.load import run_flow_from_json
+TWEAKS = ${tweaksString}
+
+result = run_flow_from_json(flow="${flowName}.json",
+                            input_value="message",
+                            fallback_to_env_vars=True, # False by default
+                            tweaks=TWEAKS)`;
+}
diff --git a/src/frontend/src/modals/apiModal/utils/get-value.ts b/src/frontend/src/modals/apiModal/utils/get-value.ts
new file mode 100644
index 00000000000..df8e5bdde08
--- /dev/null
+++ b/src/frontend/src/modals/apiModal/utils/get-value.ts
@@ -0,0 +1,29 @@
+import { TemplateVariableType } from "../../../types/api";
+import { NodeType } from "../../../types/flow";
+
+export const getValue = (
+  value: string,
+  node: NodeType,
+  template: TemplateVariableType,
+  tweak: Object[],
+) => {
+  let returnValue = value ?? "";
+
+  if (tweak.length > 0) {
+    for (const obj of tweak) {
+      Object.keys(obj).forEach((key) => {
+        const value = obj[key];
+        if (key == node["id"]) {
+          Object.keys(value).forEach((key) => {
+            if (key == template["name"]) {
+              returnValue = value[key];
+            }
+          });
+        }
+      });
+    }
+  } else {
+    return value ?? "";
+  }
+  return returnValue;
+};
diff --git a/src/frontend/src/modals/apiModal/utils/get-widget-code.tsx b/src/frontend/src/modals/apiModal/utils/get-widget-code.tsx
new file mode 100644
index 00000000000..0d3d02f91fb
--- /dev/null
+++ b/src/frontend/src/modals/apiModal/utils/get-widget-code.tsx
@@ -0,0 +1,24 @@
+/**
+ * Function to get the widget code for the API
+ * @param {string} flow - The current flow.
+ * @returns {string} - The widget code
+ */
+export default function getWidgetCode(
+  flowId: string,
+  flowName: string,
+  isAuth: boolean,
+): string {
+  return `<script src="https://cdn.jsdelivr.net/gh/langflow-ai/langflow-embedded-chat@1.0_alpha/dist/build/static/js/bundle.min.js"></script>
+
+  <langflow-chat
+    window_title="${flowName}"
+    flow_id="${flowId}"
+    host_url="http://localhost:7860"${
+      !isAuth
+        ? `
+    api_key="..."`
+        : ""
+    }
+
+  ></langflow-chat>`;
+}
diff --git a/src/frontend/src/modals/apiModal/utils/tabs-array.tsx b/src/frontend/src/modals/apiModal/utils/tabs-array.tsx
new file mode 100644
index 00000000000..dc50bf7a31e
--- /dev/null
+++ b/src/frontend/src/modals/apiModal/utils/tabs-array.tsx
@@ -0,0 +1,68 @@
+export function createTabsArray(
+  codes,
+  includeWebhookCurl = false,
+  includeTweaks = false,
+) {
+  const tabs = [
+    {
+      name: "Run cURL",
+      mode: "bash",
+      image: "https://curl.se/logo/curl-symbol-transparent.png",
+      language: "sh",
+      code: codes[0],
+    },
+    {
+      name: "Python API",
+      mode: "python",
+      image:
+        "https://images.squarespace-cdn.com/content/v1/5df3d8c5d2be5962e4f87890/1628015119369-OY4TV3XJJ53ECO0W2OLQ/Python+API+Training+Logo.png?format=1000w",
+      language: "py",
+      code: codes[2],
+    },
+    {
+      name: "JS API",
+      mode: "javascript",
+      image: "https://cdn-icons-png.flaticon.com/512/136/136530.png",
+      language: "js",
+      code: codes[3],
+    },
+    {
+      name: "Python Code",
+      mode: "python",
+      image: "https://cdn-icons-png.flaticon.com/512/5968/5968350.png",
+      language: "py",
+      code: codes[4],
+    },
+    {
+      name: "Chat Widget HTML",
+      description:
+        "Insert this code anywhere in your &lt;body&gt; tag. To use with react and other libs, check our <a class='link-color' href='https://langflow.org/guidelines/widget'>documentation</a>.",
+      mode: "html",
+      image: "https://cdn-icons-png.flaticon.com/512/5968/5968350.png",
+      language: "html",
+      code: codes[5],
+    },
+  ];
+
+  if (includeWebhookCurl) {
+    tabs.splice(1, 0, {
+      name: "Webhook cURL",
+      mode: "bash",
+      image: "https://curl.se/logo/curl-symbol-transparent.png",
+      language: "sh",
+      code: codes[1],
+    });
+  }
+
+  if (includeTweaks) {
+    tabs.push({
+      name: "Tweaks",
+      mode: "python",
+      image: "https://cdn-icons-png.flaticon.com/512/5968/5968350.png",
+      language: "py",
+      code: codes[6],
+    });
+  }
+
+  return tabs;
+}
diff --git a/src/frontend/src/modals/baseModal/helpers/switch-case-size.ts b/src/frontend/src/modals/baseModal/helpers/switch-case-size.ts
new file mode 100644
index 00000000000..c3eca22bb1e
--- /dev/null
+++ b/src/frontend/src/modals/baseModal/helpers/switch-case-size.ts
@@ -0,0 +1,70 @@
+export const switchCaseModalSize = (size: string) => {
+  let minWidth: string;
+  let height: string;
+  switch (size) {
+    case "x-small":
+      minWidth = "min-w-[20vw]";
+      height = "";
+      break;
+    case "smaller":
+      minWidth = "min-w-[40vw]";
+      height = "h-[11rem]";
+      break;
+    case "smaller-h-full":
+      minWidth = "min-w-[40vw]";
+      height = "";
+      break;
+    case "small":
+      minWidth = "min-w-[40vw]";
+      height = "h-[40vh]";
+      break;
+    case "small-h-full":
+      minWidth = "min-w-[40vw]";
+      height = "";
+      break;
+    case "medium":
+      minWidth = "min-w-[60vw]";
+      height = "h-[60vh]";
+      break;
+    case "medium-tall":
+      minWidth = "min-w-[60vw]";
+      height = "h-[90vh]";
+      break;
+    case "medium-h-full":
+      minWidth = "min-w-[60vw]";
+      height = "";
+      break;
+    case "large":
+      minWidth = "min-w-[85vw]";
+      height = "h-[80vh]";
+      break;
+    case "three-cards":
+      minWidth = "min-w-[1066px]";
+      height = "h-fit";
+      break;
+    case "large-thin":
+      minWidth = "min-w-[65vw]";
+      height = "h-[90vh]";
+      break;
+
+    case "md-thin":
+      minWidth = "min-w-[85vw]";
+      height = "h-[90vh]";
+      break;
+
+    case "sm-thin":
+      minWidth = "min-w-[65vw]";
+      height = "h-[90vh]";
+      break;
+
+    case "large-h-full":
+      minWidth = "min-w-[80vw]";
+      height = "";
+      break;
+    default:
+      minWidth = "min-w-[80vw]";
+      height = "h-[90vh]";
+      break;
+  }
+  return { minWidth, height };
+};
diff --git a/src/frontend/src/modals/baseModal/index.tsx b/src/frontend/src/modals/baseModal/index.tsx
index 860551be985..1ce1a20f3ea 100644
--- a/src/frontend/src/modals/baseModal/index.tsx
+++ b/src/frontend/src/modals/baseModal/index.tsx
@@ -9,24 +9,50 @@ import {
   DialogTitle,
   DialogTrigger,
 } from "../../components/ui/dialog";
+
+import {
+  Dialog as Modal,
+  DialogContent as ModalContent,
+} from "../../components/ui/dialog-with-no-close";
+
+import { DialogClose } from "@radix-ui/react-dialog";
+import * as Form from "@radix-ui/react-form";
+import { Button } from "../../components/ui/button";
 import { modalHeaderType } from "../../types/components";
+import { cn } from "../../utils/utils";
+import { switchCaseModalSize } from "./helpers/switch-case-size";
 
-type ContentProps = { children: ReactNode };
+type ContentProps = { children: ReactNode; overflowHidden?: boolean };
 type HeaderProps = { children: ReactNode; description: string };
 type FooterProps = { children: ReactNode };
 type TriggerProps = {
   children: ReactNode;
   asChild?: boolean;
   disable?: boolean;
+  className?: string;
 };
 
-const Content: React.FC<ContentProps> = ({ children }) => {
-  return <div className="h-full w-full">{children}</div>;
+const Content: React.FC<ContentProps> = ({ children, overflowHidden }) => {
+  return (
+    <div
+      className={cn(
+        `flex w-full flex-grow flex-col transition-all duration-300`,
+        overflowHidden ? "overflow-hidden" : "overflow-visible",
+      )}
+    >
+      {children}
+    </div>
+  );
 };
-const Trigger: React.FC<TriggerProps> = ({ children, asChild, disable }) => {
+const Trigger: React.FC<TriggerProps> = ({
+  children,
+  asChild,
+  disable,
+  className,
+}) => {
   return (
     <DialogTrigger
-      className={asChild ? "" : "w-full"}
+      className={asChild ? "" : cn("w-full", className)}
       hidden={children ? false : true}
       disabled={disable}
       asChild={asChild}
@@ -36,27 +62,68 @@ const Trigger: React.FC<TriggerProps> = ({ children, asChild, disable }) => {
   );
 };
 
-const Header: React.FC<{ children: ReactNode; description: string | null }> = ({
-  children,
-  description,
-}: modalHeaderType): JSX.Element => {
+const Header: React.FC<{
+  children: ReactNode;
+  description: string | JSX.Element | null;
+}> = ({ children, description }: modalHeaderType): JSX.Element => {
   return (
     <DialogHeader>
-      <DialogTitle className="flex items-center">{children}</DialogTitle>
-      <DialogDescription>{description}</DialogDescription>
+      <DialogTitle className="line-clamp-1 flex items-center pb-0.5">
+        {children}
+      </DialogTitle>
+      <DialogDescription className="line-clamp-2">
+        {description}
+      </DialogDescription>
     </DialogHeader>
   );
 };
 
-const Footer: React.FC<{ children: ReactNode }> = ({ children }) => {
-  return <>{children}</>;
+const Footer: React.FC<{
+  children?: ReactNode;
+  submit?: {
+    label: string;
+    icon?: ReactNode;
+    loading?: boolean;
+    disabled?: boolean;
+    dataTestId?: string;
+    onClick?: () => void;
+  };
+}> = ({ children, submit }) => {
+  return (
+    <div className="flex flex-shrink-0 flex-row-reverse">
+      {submit ? (
+        <div className="flex w-full items-center justify-between">
+          {children ?? <div />}
+          <div className="flex items-center gap-3">
+            <DialogClose asChild>
+              <Button variant="outline" type="button">
+                Cancel
+              </Button>
+            </DialogClose>
+            <Button
+              data-testid={submit.dataTestId}
+              type={submit.onClick ? "button" : "submit"}
+              onClick={submit.onClick}
+              loading={submit.loading}
+              disabled={submit.disabled}
+            >
+              {submit.icon && submit.icon}
+              {submit.label}
+            </Button>
+          </div>
+        </div>
+      ) : (
+        <>{children && children}</>
+      )}
+    </div>
+  );
 };
 interface BaseModalProps {
   children: [
     React.ReactElement<ContentProps>,
     React.ReactElement<HeaderProps>,
     React.ReactElement<TriggerProps>?,
-    React.ReactElement<FooterProps>?
+    React.ReactElement<FooterProps>?,
   ];
   open?: boolean;
   setOpen?: (open: boolean) => void;
@@ -65,14 +132,22 @@ interface BaseModalProps {
     | "smaller"
     | "small"
     | "medium"
+    | "medium-tall"
     | "large"
+    | "three-cards"
+    | "large-thin"
     | "large-h-full"
     | "small-h-full"
     | "medium-h-full"
-    | "smaller-h-full";
+    | "md-thin"
+    | "sm-thin"
+    | "smaller-h-full"
+    | "medium-log";
 
   disable?: boolean;
   onChangeOpenModal?: (open?: boolean) => void;
+  type?: "modal" | "dialog";
+  onSubmit?: () => void;
 }
 function BaseModal({
   open,
@@ -80,62 +155,23 @@ function BaseModal({
   children,
   size = "large",
   onChangeOpenModal,
+  type = "dialog",
+  onSubmit,
 }: BaseModalProps) {
   const headerChild = React.Children.toArray(children).find(
-    (child) => (child as React.ReactElement).type === Header
+    (child) => (child as React.ReactElement).type === Header,
   );
   const triggerChild = React.Children.toArray(children).find(
-    (child) => (child as React.ReactElement).type === Trigger
+    (child) => (child as React.ReactElement).type === Trigger,
   );
   const ContentChild = React.Children.toArray(children).find(
-    (child) => (child as React.ReactElement).type === Content
+    (child) => (child as React.ReactElement).type === Content,
   );
   const ContentFooter = React.Children.toArray(children).find(
-    (child) => (child as React.ReactElement).type === Footer
+    (child) => (child as React.ReactElement).type === Footer,
   );
 
-  let minWidth: string;
-  let height: string;
-
-  switch (size) {
-    case "x-small":
-      minWidth = "min-w-[20vw]";
-      height = " ";
-      break;
-    case "smaller":
-      minWidth = "min-w-[40vw]";
-      height = "h-[11rem]";
-      break;
-    case "smaller-h-full":
-      minWidth = "min-w-[40vw]";
-      height = "h-full";
-      break;
-    case "small":
-      minWidth = "min-w-[40vw]";
-      height = "h-[40vh]";
-      break;
-    case "small-h-full":
-      minWidth = "min-w-[40vw]";
-      break;
-    case "medium":
-      minWidth = "min-w-[60vw]";
-      height = "h-[60vh]";
-      break;
-    case "medium-h-full":
-      minWidth = "min-w-[60vw]";
-      break;
-    case "large":
-      minWidth = "min-w-[80vw]";
-      height = "h-[80vh]";
-      break;
-    case "large-h-full":
-      minWidth = "min-w-[80vw]";
-      break;
-    default:
-      minWidth = "min-w-[80vw]";
-      height = "h-[80vh]";
-      break;
-  }
+  let { minWidth, height } = switchCaseModalSize(size);
 
   useEffect(() => {
     if (onChangeOpenModal) {
@@ -143,20 +179,49 @@ function BaseModal({
     }
   }, [open]);
 
+  const modalContent = (
+    <>
+      {headerChild}
+      {ContentChild}
+      {ContentFooter && ContentFooter}
+    </>
+  );
+
+  const contentClasses = cn(
+    minWidth,
+    height,
+    "flex flex-col duration-300 overflow-hidden",
+  );
+
   //UPDATE COLORS AND STYLE CLASSSES
   return (
-    <Dialog open={open} onOpenChange={setOpen}>
-      {triggerChild}
-      <DialogContent className={minWidth}>
-        <div className="truncate-doubleline word-break-break-word">
-          {headerChild}
-        </div>
-        <div className={`flex flex-col ${height!} w-full `}>{ContentChild}</div>
-        {ContentFooter && (
-          <div className="flex flex-row-reverse">{ContentFooter}</div>
-        )}
-      </DialogContent>
-    </Dialog>
+    <>
+      {type === "modal" ? (
+        <Modal open={open} onOpenChange={setOpen}>
+          {triggerChild}
+          <ModalContent className={contentClasses}>{modalContent}</ModalContent>
+        </Modal>
+      ) : (
+        <Dialog open={open} onOpenChange={setOpen}>
+          {triggerChild}
+          <DialogContent className={contentClasses}>
+            {onSubmit ? (
+              <Form.Root
+                onSubmit={(event) => {
+                  event.preventDefault();
+                  onSubmit();
+                }}
+                className="flex h-full flex-col gap-6"
+              >
+                {modalContent}
+              </Form.Root>
+            ) : (
+              modalContent
+            )}
+          </DialogContent>
+        </Dialog>
+      )}
+    </>
   );
 }
 
diff --git a/src/frontend/src/modals/codeAreaModal/index.tsx b/src/frontend/src/modals/codeAreaModal/index.tsx
index 1c737417d94..74ced807893 100644
--- a/src/frontend/src/modals/codeAreaModal/index.tsx
+++ b/src/frontend/src/modals/codeAreaModal/index.tsx
@@ -9,10 +9,21 @@ import AceEditor from "react-ace";
 import IconComponent from "../../components/genericIconComponent";
 import { Button } from "../../components/ui/button";
 import { Input } from "../../components/ui/input";
-import { CODE_PROMPT_DIALOG_SUBTITLE } from "../../constants/constants";
+import {
+  BUG_ALERT,
+  CODE_ERROR_ALERT,
+  CODE_SUCCESS_ALERT,
+  FUNC_ERROR_ALERT,
+  IMPORT_ERROR_ALERT,
+} from "../../constants/alerts_constants";
+import {
+  CODE_PROMPT_DIALOG_SUBTITLE,
+  EDIT_CODE_TITLE,
+} from "../../constants/constants";
 import { postCustomComponent, postValidateCode } from "../../controllers/API";
 import useAlertStore from "../../stores/alertStore";
 import { useDarkStore } from "../../stores/darkStore";
+import { CodeErrorDataTypeAPI } from "../../types/api";
 import { codeAreaModalPropsType } from "../../types/components";
 import BaseModal from "../baseModal";
 
@@ -24,15 +35,20 @@ export default function CodeAreaModal({
   children,
   dynamic,
   readonly = false,
+  open: myOpen,
+  setOpen: mySetOpen,
 }: codeAreaModalPropsType): JSX.Element {
   const [code, setCode] = useState(value);
+  const [open, setOpen] =
+    mySetOpen !== undefined && myOpen !== undefined
+      ? [myOpen, mySetOpen]
+      : useState(false);
   const dark = useDarkStore((state) => state.dark);
-
   const [height, setHeight] = useState<string | null>(null);
   const setSuccessData = useAlertStore((state) => state.setSuccessData);
   const setErrorData = useAlertStore((state) => state.setErrorData);
   const [error, setError] = useState<{
-    detail: { error: string | undefined; traceback: string | undefined };
+    detail: CodeErrorDataTypeAPI;
   } | null>(null);
 
   useEffect(() => {
@@ -51,7 +67,7 @@ export default function CodeAreaModal({
           let funcErrors = apiReturn.data.function.errors;
           if (funcErrors.length === 0 && importsErrors.length === 0) {
             setSuccessData({
-              title: "Code is ready to run",
+              title: CODE_SUCCESS_ALERT,
             });
             setOpen(false);
             setValue(code);
@@ -59,26 +75,26 @@ export default function CodeAreaModal({
           } else {
             if (funcErrors.length !== 0) {
               setErrorData({
-                title: "There is an error in your function",
+                title: FUNC_ERROR_ALERT,
                 list: funcErrors,
               });
             }
             if (importsErrors.length !== 0) {
               setErrorData({
-                title: "There is an error in your imports",
+                title: IMPORT_ERROR_ALERT,
                 list: importsErrors,
               });
             }
           }
         } else {
           setErrorData({
-            title: "Something went wrong, please try again",
+            title: BUG_ALERT,
           });
         }
       })
       .catch((_) => {
         setErrorData({
-          title: "There is something wrong with this code, please review it",
+          title: CODE_ERROR_ALERT,
         });
       });
   }
@@ -86,9 +102,9 @@ export default function CodeAreaModal({
   function processDynamicField() {
     postCustomComponent(code, nodeClass!)
       .then((apiReturn) => {
-        const { data } = apiReturn;
-        if (data) {
-          setNodeClass(data, code);
+        const { data, type } = apiReturn.data;
+        if (data && type) {
+          setNodeClass(data, code, type);
           setError({ detail: { error: undefined, traceback: undefined } });
           setOpen(false);
         }
@@ -126,8 +142,6 @@ export default function CodeAreaModal({
     };
   }, [error, setHeight]);
 
-  const [open, setOpen] = useState(false);
-
   useEffect(() => {
     setCode(value);
   }, [value, open]);
@@ -136,10 +150,10 @@ export default function CodeAreaModal({
     <BaseModal open={open} setOpen={setOpen}>
       <BaseModal.Trigger>{children}</BaseModal.Trigger>
       <BaseModal.Header description={CODE_PROMPT_DIALOG_SUBTITLE}>
-        <span className="pr-2">Edit Code</span>
+        <span className="pr-2"> {EDIT_CODE_TITLE} </span>
         <IconComponent
           name="prompts"
-          className="h-6 w-6 pl-1 text-primary "
+          className="h-6 w-6 pl-1 text-primary"
           aria-hidden="true"
         />
       </BaseModal.Header>
@@ -177,11 +191,9 @@ export default function CodeAreaModal({
               (error?.detail?.error !== undefined ? "h-2/6" : "h-0")
             }
           >
-            <div className="mt-1 h-full max-h-[10rem] w-full overflow-y-auto overflow-x-clip text-left custom-scroll">
-              <h1 className="text-lg text-destructive">
-                {error?.detail?.error}
-              </h1>
-              <div className="ml-2 w-full text-sm text-status-red word-break-break-word">
+            <div className="mt-5 h-full max-h-[10rem] w-full overflow-y-auto overflow-x-clip text-left custom-scroll">
+              <h1 className="text-lg text-error">{error?.detail?.error}</h1>
+              <div className="ml-2 mt-2 w-full text-sm text-destructive word-break-break-word">
                 <span className="w-full word-break-break-word">
                   {error?.detail?.traceback}
                 </span>
diff --git a/src/frontend/src/modals/confirmationModal/index.tsx b/src/frontend/src/modals/confirmationModal/index.tsx
new file mode 100644
index 00000000000..dd7437693c9
--- /dev/null
+++ b/src/frontend/src/modals/confirmationModal/index.tsx
@@ -0,0 +1,114 @@
+import React, { useEffect, useState } from "react";
+import ShadTooltip from "../../components/shadTooltipComponent";
+import { Button } from "../../components/ui/button";
+import {
+  ConfirmationModalType,
+  ContentProps,
+  TriggerProps,
+} from "../../types/components";
+import { nodeIconsLucide } from "../../utils/styleUtils";
+import BaseModal from "../baseModal";
+
+const Content: React.FC<ContentProps> = ({ children }) => {
+  return <div className="h-full w-full">{children}</div>;
+};
+const Trigger: React.FC<TriggerProps> = ({
+  children,
+  tooltipContent,
+  side,
+}: TriggerProps) => {
+  return tooltipContent ? (
+    <ShadTooltip side={side} content={tooltipContent}>
+      <div className="h-full w-full">{children}</div>
+    </ShadTooltip>
+  ) : (
+    <div className="h-full w-full">{children}</div>
+  );
+};
+function ConfirmationModal({
+  title,
+  titleHeader,
+  modalContentTitle,
+  cancelText,
+  confirmationText,
+  children,
+  destructive = false,
+  icon,
+  data,
+  index,
+  onConfirm,
+  size,
+  open,
+  onClose,
+  onCancel,
+}: ConfirmationModalType) {
+  const Icon: any = nodeIconsLucide[icon];
+  const [modalOpen, setModalOpen] = useState(open ?? false);
+
+  useEffect(() => {
+    if (open) setModalOpen(open);
+  }, [open]);
+
+  useEffect(() => {
+    if (onClose) onClose!(modalOpen);
+  }, [modalOpen]);
+
+  const triggerChild = React.Children.toArray(children).find(
+    (child) => (child as React.ReactElement).type === Trigger,
+  );
+  const ContentChild = React.Children.toArray(children).find(
+    (child) => (child as React.ReactElement).type === Content,
+  );
+
+  return (
+    <BaseModal size={size} open={open} setOpen={setModalOpen}>
+      <BaseModal.Trigger>{triggerChild}</BaseModal.Trigger>
+      <BaseModal.Header description={titleHeader ?? null}>
+        <span className="pr-2">{title}</span>
+        <Icon
+          name="icon"
+          className="h-6 w-6 pl-1 text-foreground"
+          aria-hidden="true"
+        />
+      </BaseModal.Header>
+      <BaseModal.Content>
+        {modalContentTitle && modalContentTitle != "" && (
+          <>
+            <strong>{modalContentTitle}</strong>
+            <br></br>
+          </>
+        )}
+        {ContentChild}
+      </BaseModal.Content>
+
+      <BaseModal.Footer>
+        <Button
+          className="ml-3"
+          variant={destructive ? "destructive" : "default"}
+          onClick={() => {
+            setModalOpen(false);
+            onConfirm(index, data);
+          }}
+          data-testid="replace-button"
+        >
+          {confirmationText}
+        </Button>
+
+        <Button
+          className=""
+          variant="outline"
+          onClick={() => {
+            if (onCancel) onCancel();
+            setModalOpen(false);
+          }}
+        >
+          {cancelText}
+        </Button>
+      </BaseModal.Footer>
+    </BaseModal>
+  );
+}
+ConfirmationModal.Content = Content;
+ConfirmationModal.Trigger = Trigger;
+
+export default ConfirmationModal;
diff --git a/src/frontend/src/modals/deleteConfirmationModal/index.tsx b/src/frontend/src/modals/deleteConfirmationModal/index.tsx
new file mode 100644
index 00000000000..a0eb1200f67
--- /dev/null
+++ b/src/frontend/src/modals/deleteConfirmationModal/index.tsx
@@ -0,0 +1,83 @@
+import { DialogClose } from "@radix-ui/react-dialog";
+import { Trash2 } from "lucide-react";
+import { Button } from "../../components/ui/button";
+import {
+  Dialog,
+  DialogContent,
+  DialogFooter,
+  DialogHeader,
+  DialogTitle,
+  DialogTrigger,
+} from "../../components/ui/dialog";
+
+export default function DeleteConfirmationModal({
+  children,
+  onConfirm,
+  description,
+  asChild,
+  open,
+  setOpen,
+  note = "",
+}: {
+  children: JSX.Element;
+  onConfirm: (e: React.MouseEvent<HTMLButtonElement, MouseEvent>) => void;
+  description?: string;
+  asChild?: boolean;
+  open?: boolean;
+  setOpen?: (open: boolean) => void;
+  note?: string;
+}) {
+  return (
+    <Dialog open={open} onOpenChange={setOpen}>
+      <DialogTrigger asChild={asChild} tabIndex={-1}>
+        {children}
+      </DialogTrigger>
+      <DialogContent>
+        <DialogHeader>
+          <DialogTitle>
+            <div className="flex items-center">
+              <span className="pr-2">Delete</span>
+              <Trash2
+                className="h-6 w-6 pl-1 text-foreground"
+                strokeWidth={1.5}
+              />
+            </div>
+          </DialogTitle>
+        </DialogHeader>
+        <span>
+          Are you sure you want to delete the selected{" "}
+          {description ?? "component"}?<br></br>
+          {note && (
+            <>
+              {note}
+              <br></br>
+            </>
+          )}
+          Note: This action is irreversible.
+        </span>
+        <DialogFooter>
+          <DialogClose asChild>
+            <Button
+              onClick={(e) => e.stopPropagation()}
+              className="mr-1"
+              variant="outline"
+            >
+              Cancel
+            </Button>
+          </DialogClose>
+          <DialogClose asChild>
+            <Button
+              type="submit"
+              variant="destructive"
+              onClick={(e) => {
+                onConfirm(e);
+              }}
+            >
+              Delete
+            </Button>
+          </DialogClose>
+        </DialogFooter>
+      </DialogContent>
+    </Dialog>
+  );
+}
diff --git a/src/frontend/src/modals/dictAreaModal/index.tsx b/src/frontend/src/modals/dictAreaModal/index.tsx
index 8a59344fec2..ff9294d9c5a 100644
--- a/src/frontend/src/modals/dictAreaModal/index.tsx
+++ b/src/frontend/src/modals/dictAreaModal/index.tsx
@@ -4,69 +4,79 @@ import "ace-builds/src-noconflict/mode-python";
 import "ace-builds/src-noconflict/theme-github";
 import "ace-builds/src-noconflict/theme-twilight";
 // import "ace-builds/webpack-resolver";
-import { useEffect, useRef, useState } from "react";
+import { cloneDeep } from "lodash";
+import { useEffect, useState } from "react";
 import JsonView from "react18-json-view";
 import "react18-json-view/src/dark.css";
 import "react18-json-view/src/style.css";
 import IconComponent from "../../components/genericIconComponent";
-import { Button } from "../../components/ui/button";
 import { CODE_DICT_DIALOG_SUBTITLE } from "../../constants/constants";
+import { useDarkStore } from "../../stores/darkStore";
 import BaseModal from "../baseModal";
 
 export default function DictAreaModal({
   children,
   onChange,
   value,
+  disabled = false,
+}: {
+  children: JSX.Element;
+  onChange?: (value: Object) => void;
+  value: Object;
+  disabled?: boolean;
 }): JSX.Element {
   const [open, setOpen] = useState(false);
-
-  const ref = useRef(value);
+  const isDark = useDarkStore((state) => state.dark);
+  const [myValue, setMyValue] = useState(value);
 
   useEffect(() => {
-    if (value) ref.current = value;
-  }, [ref]);
+    setMyValue(value);
+  }, [value, open]);
 
   return (
-    <BaseModal size="medium-h-full" open={open} setOpen={setOpen}>
-      <BaseModal.Trigger>{children}</BaseModal.Trigger>
-      <BaseModal.Header description={CODE_DICT_DIALOG_SUBTITLE}>
-        <span className="pr-2">Edit Dictionary</span>
+    <BaseModal
+      size="medium-h-full"
+      open={open}
+      disable={disabled}
+      setOpen={setOpen}
+      onSubmit={
+        onChange
+          ? () => {
+              onChange(myValue);
+              setOpen(false);
+            }
+          : undefined
+      }
+    >
+      <BaseModal.Trigger className="h-full">{children}</BaseModal.Trigger>
+      <BaseModal.Header
+        description={onChange ? CODE_DICT_DIALOG_SUBTITLE : null}
+      >
+        <span className="pr-2">
+          {onChange ? "Edit Dictionary" : "View Dictionary"}
+        </span>
         <IconComponent
           name="BookMarked"
-          className="h-6 w-6 pl-1 text-primary "
+          className="h-6 w-6 pl-1 text-primary"
           aria-hidden="true"
         />
       </BaseModal.Header>
       <BaseModal.Content>
-        <div className="flex h-full w-full flex-col transition-all ">
+        <div className="flex h-full w-full flex-col transition-all">
           <JsonView
             theme="vscode"
-            dark={true}
-            editable
+            dark={isDark}
+            className={!isDark ? "json-view-white" : "json-view-dark"}
+            editable={!!onChange}
             enableClipboard
-            onEdit={(edit) => {
-              ref.current = edit["src"];
-            }}
             onChange={(edit) => {
-              ref.current = edit["src"];
+              setMyValue(edit.src);
             }}
-            src={ref.current}
+            src={cloneDeep(myValue)}
           />
-          <div className="flex h-fit w-full justify-end">
-            <Button
-              data-testid="save-dict-button"
-              className="mt-3"
-              type="submit"
-              onClick={() => {
-                onChange(ref.current);
-                setOpen(false);
-              }}
-            >
-              Save
-            </Button>
-          </div>
         </div>
       </BaseModal.Content>
+      <BaseModal.Footer submit={onChange ? { label: "Save" } : undefined} />
     </BaseModal>
   );
 }
diff --git a/src/frontend/src/modals/editNodeModal/hooks/use-column-defs.tsx b/src/frontend/src/modals/editNodeModal/hooks/use-column-defs.tsx
new file mode 100644
index 00000000000..14263a9c60d
--- /dev/null
+++ b/src/frontend/src/modals/editNodeModal/hooks/use-column-defs.tsx
@@ -0,0 +1,85 @@
+import { ColDef, ValueGetterParams } from "ag-grid-community";
+import { useMemo } from "react";
+import TableNodeCellRender from "../../../components/tableComponent/components/tableNodeCellRender";
+import TableToggleCellRender from "../../../components/tableComponent/components/tableToggleCellRender";
+
+const useColumnDefs = (
+  myData: any,
+  handleOnNewValue: (newValue: any, name: string) => void,
+  handleOnChangeDb: (value: boolean, key: string) => void,
+  changeAdvanced: (n: string) => void,
+  open: boolean,
+) => {
+  const columnDefs: ColDef[] = useMemo(
+    () => [
+      {
+        headerName: "Field Name",
+        field: "display_name",
+        valueGetter: (params) => {
+          const templateParam = params.data;
+          return (
+            (templateParam.display_name
+              ? templateParam.display_name
+              : templateParam.name) ?? params.data.key
+          );
+        },
+        wrapText: true,
+        autoHeight: true,
+        flex: 1,
+        resizable: false,
+        cellClass: "no-border",
+      },
+      {
+        headerName: "Description",
+        field: "info",
+        tooltipField: "info",
+        wrapText: true,
+        autoHeight: true,
+        flex: 2,
+        resizable: false,
+        cellClass: "no-border",
+      },
+      {
+        headerName: "Value",
+        field: "value",
+        cellRenderer: TableNodeCellRender,
+        valueGetter: (params: ValueGetterParams) => {
+          return {
+            value: params.data.value,
+            nodeClass: myData.node,
+            handleOnNewValue: handleOnNewValue,
+            handleOnChangeDb: handleOnChangeDb,
+          };
+        },
+        minWidth: 340,
+        autoHeight: true,
+        flex: 1,
+        resizable: false,
+        cellClass: "no-border",
+      },
+      {
+        headerName: "Show",
+        field: "advanced",
+        cellRenderer: TableToggleCellRender,
+        valueGetter: (params: ValueGetterParams) => {
+          return {
+            name: params.data.name,
+            enabled: !params.data.advanced,
+            setEnabled: () => {
+              changeAdvanced(params.data.key);
+            },
+          };
+        },
+        editable: false,
+        maxWidth: 80,
+        resizable: false,
+        cellClass: "no-border",
+      },
+    ],
+    [open, myData],
+  );
+
+  return columnDefs;
+};
+
+export default useColumnDefs;
diff --git a/src/frontend/src/modals/editNodeModal/hooks/use-row-data.tsx b/src/frontend/src/modals/editNodeModal/hooks/use-row-data.tsx
new file mode 100644
index 00000000000..cafd25c6d78
--- /dev/null
+++ b/src/frontend/src/modals/editNodeModal/hooks/use-row-data.tsx
@@ -0,0 +1,37 @@
+import { useMemo } from "react";
+import { LANGFLOW_SUPPORTED_TYPES } from "../../../constants/constants";
+import { TemplateVariableType } from "../../../types/api";
+
+const useRowData = (myData, open) => {
+  const rowData = useMemo(() => {
+    return Object.keys(myData.node!.template)
+      .filter((key: string) => {
+        const templateParam = myData.node!.template[
+          key
+        ] as TemplateVariableType;
+        return (
+          key.charAt(0) !== "_" &&
+          templateParam.show &&
+          LANGFLOW_SUPPORTED_TYPES.has(templateParam.type) &&
+          !(
+            (key === "code" && templateParam.type === "code") ||
+            (key.includes("code") && templateParam.proxy)
+          )
+        );
+      })
+      .map((key: string) => {
+        const templateParam = myData.node!.template[
+          key
+        ] as TemplateVariableType;
+        return {
+          ...templateParam,
+          key: key,
+          id: key,
+        };
+      });
+  }, [open, myData]);
+
+  return rowData;
+};
+
+export default useRowData;
diff --git a/src/frontend/src/modals/editNodeModal/index.tsx b/src/frontend/src/modals/editNodeModal/index.tsx
new file mode 100644
index 00000000000..cb6f82f5960
--- /dev/null
+++ b/src/frontend/src/modals/editNodeModal/index.tsx
@@ -0,0 +1,125 @@
+import { ColDef, GridApi } from "ag-grid-community";
+import { cloneDeep } from "lodash";
+import { forwardRef, useEffect, useRef, useState } from "react";
+import TableComponent from "../../components/tableComponent";
+import { Badge } from "../../components/ui/badge";
+import { useDarkStore } from "../../stores/darkStore";
+import useFlowStore from "../../stores/flowStore";
+import { NodeDataType } from "../../types/flow";
+import BaseModal from "../baseModal";
+import useColumnDefs from "./hooks/use-column-defs";
+import useRowData from "./hooks/use-row-data";
+
+const EditNodeModal = forwardRef(
+  (
+    {
+      nodeLength,
+      open,
+      setOpen,
+      //      setOpenWDoubleClick,
+      data,
+    }: {
+      nodeLength: number;
+      open: boolean;
+      setOpen: (open: boolean) => void;
+      //      setOpenWDoubleClick: (open: boolean) => void;
+      data: NodeDataType;
+    },
+    ref,
+  ) => {
+    const myData = useRef(cloneDeep(data));
+
+    const isDark = useDarkStore((state) => state.dark);
+
+    const setNode = useFlowStore((state) => state.setNode);
+
+    function changeAdvanced(n) {
+      myData.current.node!.template[n].advanced =
+        !myData.current.node!.template[n]?.advanced;
+    }
+
+    const handleOnNewValue = (newValue: any, key: string) => {
+      myData.current.node!.template[key].value = newValue;
+    };
+
+    const handleOnChangeDb = (newValue: boolean, key: string) => {
+      myData.current.node!.template[key].load_from_db = newValue;
+    };
+
+    const rowData = useRowData(data, open);
+
+    const columnDefs: ColDef[] = useColumnDefs(
+      data,
+      handleOnNewValue,
+      handleOnChangeDb,
+      changeAdvanced,
+      open,
+    );
+
+    const [gridApi, setGridApi] = useState<GridApi | null>(null);
+
+    useEffect(() => {
+      if (gridApi && open) {
+        myData.current = cloneDeep(data);
+        gridApi.refreshCells();
+      }
+    }, [gridApi, open]);
+
+    //    useEffect(() => {
+    //      return () => {
+    //        setOpenWDoubleClick(false);
+    //      };
+    //    }, []);
+
+    return (
+      <BaseModal key={data.id} open={open} setOpen={setOpen}>
+        <BaseModal.Trigger>
+          <></>
+        </BaseModal.Trigger>
+        <BaseModal.Header description={data.node?.description!}>
+          <span className="pr-2">{data.type}</span>
+          <div>
+            <Badge size="sm" variant={isDark ? "gray" : "secondary"}>
+              ID: {data.id}
+            </Badge>
+          </div>
+        </BaseModal.Header>
+        <BaseModal.Content>
+          <div className="flex h-full flex-col">
+            <div className="h-full">
+              {nodeLength > 0 && (
+                <TableComponent
+                  key={"editNode"}
+                  onGridReady={(params) => {
+                    setGridApi(params.api);
+                  }}
+                  tooltipShowDelay={0.5}
+                  columnDefs={columnDefs}
+                  rowData={rowData}
+                />
+              )}
+            </div>
+          </div>
+        </BaseModal.Content>
+
+        <BaseModal.Footer
+          submit={{
+            label: "Save Changes",
+            onClick: () => {
+              setNode(data.id, (old) => ({
+                ...old,
+                data: {
+                  ...old.data,
+                  node: myData.current.node,
+                },
+              }));
+              setOpen(false);
+            },
+          }}
+        />
+      </BaseModal>
+    );
+  },
+);
+
+export default EditNodeModal;
diff --git a/src/frontend/src/modals/exportModal/index.tsx b/src/frontend/src/modals/exportModal/index.tsx
index cda886b0b85..8904f79befe 100644
--- a/src/frontend/src/modals/exportModal/index.tsx
+++ b/src/frontend/src/modals/exportModal/index.tsx
@@ -1,9 +1,13 @@
 import { ReactNode, forwardRef, useEffect, useState } from "react";
-import EditFlowSettings from "../../components/EditFlowSettingsComponent";
+import EditFlowSettings from "../../components/editFlowSettingsComponent";
 import IconComponent from "../../components/genericIconComponent";
-import { Button } from "../../components/ui/button";
 import { Checkbox } from "../../components/ui/checkbox";
-import { EXPORT_DIALOG_SUBTITLE } from "../../constants/constants";
+import { API_WARNING_NOTICE_ALERT } from "../../constants/alerts_constants";
+import {
+  ALERT_SAVE_WITH_API,
+  EXPORT_DIALOG_SUBTITLE,
+  SAVE_WITH_API_CHECKBOX,
+} from "../../constants/constants";
 import useAlertStore from "../../stores/alertStore";
 import { useDarkStore } from "../../stores/darkStore";
 import useFlowsManagerStore from "../../stores/flowsManagerStore";
@@ -14,7 +18,7 @@ const ExportModal = forwardRef(
   (props: { children: ReactNode }, ref): JSX.Element => {
     const version = useDarkStore((state) => state.version);
     const setNoticeData = useAlertStore((state) => state.setNoticeData);
-    const [checked, setChecked] = useState(true);
+    const [checked, setChecked] = useState(false);
     const currentFlow = useFlowsManagerStore((state) => state.currentFlow);
     useEffect(() => {
       setName(currentFlow!.name);
@@ -25,7 +29,45 @@ const ExportModal = forwardRef(
     const [open, setOpen] = useState(false);
 
     return (
-      <BaseModal size="smaller-h-full" open={open} setOpen={setOpen}>
+      <BaseModal
+        size="smaller-h-full"
+        open={open}
+        setOpen={setOpen}
+        onSubmit={() => {
+          if (checked) {
+            downloadFlow(
+              {
+                id: currentFlow!.id,
+                data: currentFlow!.data!,
+                description,
+                name,
+                last_tested_version: version,
+                endpoint_name: currentFlow!.endpoint_name,
+                is_component: false,
+              },
+              name!,
+              description,
+            );
+            setNoticeData({
+              title: API_WARNING_NOTICE_ALERT,
+            });
+          } else
+            downloadFlow(
+              removeApiKeys({
+                id: currentFlow!.id,
+                data: currentFlow!.data!,
+                description,
+                name,
+                last_tested_version: version,
+                endpoint_name: currentFlow!.endpoint_name,
+                is_component: false,
+              }),
+              name!,
+              description,
+            );
+          setOpen(false);
+        }}
+      >
         <BaseModal.Trigger asChild>{props.children}</BaseModal.Trigger>
         <BaseModal.Header description={EXPORT_DIALOG_SUBTITLE}>
           <span className="pr-2">Export</span>
@@ -50,58 +92,18 @@ const ExportModal = forwardRef(
                 setChecked(event);
               }}
             />
-            <label htmlFor="terms" className="export-modal-save-api text-sm ">
-              Save with my API keys
+            <label htmlFor="terms" className="export-modal-save-api text-sm">
+              {SAVE_WITH_API_CHECKBOX}
             </label>
           </div>
-          <span className=" text-xs text-destructive ">
-            Caution: Uncheck this box only removes API keys from fields
-            specifically designated for API keys.
+          <span className="mt-1 text-xs text-destructive">
+            {ALERT_SAVE_WITH_API}
           </span>
         </BaseModal.Content>
 
-        <BaseModal.Footer>
-          <Button
-            onClick={() => {
-              if (checked) {
-                downloadFlow(
-                  {
-                    id: currentFlow!.id,
-                    data: currentFlow!.data!,
-                    description,
-                    name,
-                    last_tested_version: version,
-                    is_component: false,
-                  },
-                  name!,
-                  description
-                );
-                setNoticeData({
-                  title:
-                    "Warning: Critical data, JSON file may include API keys.",
-                });
-              } else
-                downloadFlow(
-                  removeApiKeys({
-                    id: currentFlow!.id,
-                    data: currentFlow!.data!,
-                    description,
-                    name,
-                    last_tested_version: version,
-                    is_component: false,
-                  }),
-                  name!,
-                  description
-                );
-              setOpen(false);
-            }}
-            type="submit"
-          >
-            Download Flow
-          </Button>
-        </BaseModal.Footer>
+        <BaseModal.Footer submit={{ label: "Export" }} />
       </BaseModal>
     );
-  }
+  },
 );
 export default ExportModal;
diff --git a/src/frontend/src/modals/flowLogsModal/index.tsx b/src/frontend/src/modals/flowLogsModal/index.tsx
new file mode 100644
index 00000000000..9412389d001
--- /dev/null
+++ b/src/frontend/src/modals/flowLogsModal/index.tsx
@@ -0,0 +1,52 @@
+import { ColDef, ColGroupDef } from "ag-grid-community";
+import { useEffect, useState } from "react";
+import IconComponent from "../../components/genericIconComponent";
+import TableComponent from "../../components/tableComponent";
+import { getTransactionTable } from "../../controllers/API";
+import useFlowsManagerStore from "../../stores/flowsManagerStore";
+import { FlowSettingsPropsType } from "../../types/components";
+import BaseModal from "../baseModal";
+
+export default function FlowLogsModal({
+  open,
+  setOpen,
+}: FlowSettingsPropsType): JSX.Element {
+  const currentFlowId = useFlowsManagerStore((state) => state.currentFlowId);
+
+  const [columns, setColumns] = useState<Array<ColDef | ColGroupDef>>([]);
+  const [rows, setRows] = useState<any>([]);
+
+  useEffect(() => {
+    getTransactionTable(currentFlowId, "union").then((data) => {
+      const { columns, rows } = data;
+      setColumns(columns.map((col) => ({ ...col, editable: true })));
+      setRows(rows);
+    });
+  }, [open]);
+
+  return (
+    <BaseModal open={open} setOpen={setOpen} size="large">
+      <BaseModal.Header description="Inspect component executions.">
+        <div className="flex w-full justify-between">
+          <div className="flex h-fit w-32 items-center">
+            <span className="pr-2">Logs</span>
+            <IconComponent name="ScrollText" className="mr-2 h-4 w-4" />
+          </div>
+          <div className="flex h-fit w-32 items-center"></div>
+        </div>
+      </BaseModal.Header>
+      <BaseModal.Content>
+        <TableComponent
+          key={"Executions"}
+          readOnlyEdit
+          className="h-max-full h-full w-full"
+          pagination={rows.length === 0 ? false : true}
+          columnDefs={columns}
+          autoSizeStrategy={{ type: "fitGridWidth" }}
+          rowData={rows}
+          headerHeight={rows.length === 0 ? 0 : undefined}
+        ></TableComponent>
+      </BaseModal.Content>
+    </BaseModal>
+  );
+}
diff --git a/src/frontend/src/modals/flowSettingsModal/index.tsx b/src/frontend/src/modals/flowSettingsModal/index.tsx
index fb880967da1..e5bc58d0d51 100644
--- a/src/frontend/src/modals/flowSettingsModal/index.tsx
+++ b/src/frontend/src/modals/flowSettingsModal/index.tsx
@@ -1,8 +1,8 @@
 import { useEffect, useState } from "react";
-import EditFlowSettings from "../../components/EditFlowSettingsComponent";
+import EditFlowSettings from "../../components/editFlowSettingsComponent";
 import IconComponent from "../../components/genericIconComponent";
-import { Button } from "../../components/ui/button";
 import { SETTINGS_DIALOG_SUBTITLE } from "../../constants/constants";
+import useAlertStore from "../../stores/alertStore";
 import useFlowsManagerStore from "../../stores/flowsManagerStore";
 import { FlowSettingsPropsType } from "../../types/components";
 import { FlowType } from "../../types/flow";
@@ -18,16 +18,30 @@ export default function FlowSettingsModal({
   useEffect(() => {
     setName(currentFlow!.name);
     setDescription(currentFlow!.description);
-  }, [currentFlow!.name, currentFlow!.description, open]);
+  }, [currentFlow?.name, currentFlow?.description, open]);
 
   const [name, setName] = useState(currentFlow!.name);
   const [description, setDescription] = useState(currentFlow!.description);
-
+  const [endpoint_name, setEndpointName] = useState(currentFlow!.endpoint_name);
+  const [isSaving, setIsSaving] = useState(false);
   function handleClick(): void {
+    setIsSaving(true);
     currentFlow!.name = name;
     currentFlow!.description = description;
-    saveFlow(currentFlow!);
-    setOpen(false);
+    currentFlow!.endpoint_name = endpoint_name;
+    saveFlow(currentFlow!)
+      ?.then(() => {
+        setOpen(false);
+        setIsSaving(false);
+      })
+      .catch((err) => {
+        useAlertStore.getState().setErrorData({
+          title: "Error while saving changes",
+          list: [err?.response?.data.detail ?? ""],
+        });
+        console.error(err);
+        setIsSaving(false);
+      });
   }
 
   const [nameLists, setNameList] = useState<string[]>([]);
@@ -41,30 +55,36 @@ export default function FlowSettingsModal({
   }, [flows]);
 
   return (
-    <BaseModal open={open} setOpen={setOpen} size="smaller">
+    <BaseModal
+      open={open}
+      setOpen={setOpen}
+      size="smaller-h-full"
+      onSubmit={handleClick}
+    >
       <BaseModal.Header description={SETTINGS_DIALOG_SUBTITLE}>
         <span className="pr-2">Settings</span>
-        <IconComponent name="Settings2" className="mr-2 h-4 w-4 " />
+        <IconComponent name="Settings2" className="mr-2 h-4 w-4" />
       </BaseModal.Header>
       <BaseModal.Content>
         <EditFlowSettings
           invalidNameList={nameLists}
           name={name}
           description={description}
+          endpointName={endpoint_name}
           setName={setName}
           setDescription={setDescription}
+          setEndpointName={setEndpointName}
         />
       </BaseModal.Content>
 
-      <BaseModal.Footer>
-        <Button
-          disabled={nameLists.includes(name) && name !== currentFlow!.name}
-          onClick={handleClick}
-          type="submit"
-        >
-          Save
-        </Button>
-      </BaseModal.Footer>
+      <BaseModal.Footer
+        submit={{
+          label: "Save",
+          disabled: nameLists.includes(name) || name === currentFlow!.name,
+          dataTestId: "save-flow-settings",
+          loading: isSaving,
+        }}
+      />
     </BaseModal>
   );
 }
diff --git a/src/frontend/src/modals/foldersModal/component/index.tsx b/src/frontend/src/modals/foldersModal/component/index.tsx
new file mode 100644
index 00000000000..a2ca33085fa
--- /dev/null
+++ b/src/frontend/src/modals/foldersModal/component/index.tsx
@@ -0,0 +1,147 @@
+import { useEffect, useState } from "react";
+import {
+  FormControl,
+  FormField,
+  FormItem,
+  FormMessage,
+} from "../../../components/ui/form";
+import { Input } from "../../../components/ui/input";
+import { Label } from "../../../components/ui/label";
+import { Textarea } from "../../../components/ui/textarea";
+import useFlowsManagerStore from "../../../stores/flowsManagerStore";
+
+type FolderFormsProps = {
+  control: any;
+  setValue: any;
+  folderToEdit: any;
+};
+
+export const FolderForms = ({
+  control,
+  setValue,
+  folderToEdit,
+}: FolderFormsProps): JSX.Element => {
+  const flows = useFlowsManagerStore((state) => state.flows);
+  const [selectedComponents, setSelectedComponents] = useState<string[]>([]);
+  const [selectedFlows, setSelectedFlows] = useState<string[]>([]);
+  const allFlows = useFlowsManagerStore((state) => state.allFlows);
+
+  const componentsList = flows
+    .filter((flow) => flow.is_component && flow.folder_id !== null)
+    .map((flow) => ({ id: flow.id, name: flow.name }));
+
+  const flowsList = flows
+    .filter((flow) => !flow.is_component && flow.folder_id !== null)
+    .map((flow) => ({ id: flow.id, name: flow.name }));
+
+  const componentsOnFolder = allFlows
+    .filter((flow) => flow.is_component && flow.folder_id === folderToEdit?.id)
+    .map((flow) => flow.id);
+
+  const flowsOnFolder = allFlows
+    .filter((flow) => !flow.is_component && flow.folder_id === folderToEdit?.id)
+    .map((flow) => flow.id);
+
+  useEffect(() => {
+    setValue("components", selectedComponents);
+    setValue("flows", selectedFlows);
+  }, [selectedComponents, selectedFlows]);
+
+  useEffect(() => {
+    if (folderToEdit) {
+      setValue("name", folderToEdit.name);
+      setValue("description", folderToEdit.description);
+
+      setSelectedComponents(componentsOnFolder);
+      setSelectedFlows(flowsOnFolder);
+      return;
+    }
+    setValue("name", "");
+    setValue("description", "");
+    setSelectedComponents([]);
+    setSelectedFlows([]);
+  }, [folderToEdit]);
+
+  return (
+    <>
+      <div className="flex h-full w-full flex-col gap-4 align-middle">
+        <Label>Folder Name</Label>
+
+        <FormField
+          control={control}
+          name="name"
+          render={({ field }) => (
+            <FormItem>
+              <FormControl>
+                <Input
+                  value={field.value}
+                  onChange={field.onChange}
+                  placeholder="Insert a name for the folder..."
+                ></Input>
+              </FormControl>
+
+              <FormMessage />
+            </FormItem>
+          )}
+        />
+
+        <Label>Description (optional) </Label>
+
+        <FormField
+          control={control}
+          name="description"
+          render={({ field }) => (
+            <FormControl>
+              <Textarea
+                value={field.value}
+                onChange={field.onChange}
+                placeholder="Insert a description for the folder..."
+              ></Textarea>
+            </FormControl>
+          )}
+        />
+        {/*
+        <Label>Add Flows</Label>
+
+        <FormField
+          control={control}
+          name="flows"
+          render={() => (
+            <FormControl>
+              <InputComponent
+                isObjectOption
+                password={false}
+                objectOptions={flowsList}
+                placeholder="Choose a flow to add..."
+                id="input-flow"
+                setSelectedOptions={(value: any) => setSelectedFlows(value)}
+                selectedOptions={selectedFlows}
+              ></InputComponent>
+            </FormControl>
+          )}
+        />
+
+        <Label>Add Components</Label>
+        <FormField
+          control={control}
+          name="components"
+          render={() => (
+            <FormControl>
+              <InputComponent
+                isObjectOption
+                password={false}
+                objectOptions={componentsList}
+                placeholder="Choose a component to add..."
+                id="input-component"
+                setSelectedOptions={(value) => setSelectedComponents(value)}
+                selectedOptions={selectedComponents}
+              ></InputComponent>
+            </FormControl>
+          )}
+        /> */}
+      </div>
+    </>
+  );
+};
+
+export default FolderForms;
diff --git a/src/frontend/src/modals/foldersModal/entities/index.ts b/src/frontend/src/modals/foldersModal/entities/index.ts
new file mode 100644
index 00000000000..64d69d38b94
--- /dev/null
+++ b/src/frontend/src/modals/foldersModal/entities/index.ts
@@ -0,0 +1,10 @@
+import { z } from "zod";
+
+export const FolderFormsSchema = z.object({
+  name: z.string().min(1, {
+    message: "Name must be at least 1 characters.",
+  }),
+  description: z.string().optional(),
+  components: z.array(z.string()),
+  flows: z.array(z.string()),
+});
diff --git a/src/frontend/src/modals/foldersModal/hooks/submit-folder.tsx b/src/frontend/src/modals/foldersModal/hooks/submit-folder.tsx
new file mode 100644
index 00000000000..71a8ac944b2
--- /dev/null
+++ b/src/frontend/src/modals/foldersModal/hooks/submit-folder.tsx
@@ -0,0 +1,60 @@
+import { useNavigate } from "react-router-dom";
+import { addFolder, updateFolder } from "../../../pages/MainPage/services";
+import useAlertStore from "../../../stores/alertStore";
+import { useFolderStore } from "../../../stores/foldersStore";
+
+const useFolderSubmit = (setOpen, folderToEdit) => {
+  const setSuccessData = useAlertStore((state) => state.setSuccessData);
+  const setErrorData = useAlertStore((state) => state.setErrorData);
+  const getFoldersApi = useFolderStore((state) => state.getFoldersApi);
+  const navigate = useNavigate();
+
+  const onSubmit = (data) => {
+    if (folderToEdit) {
+      updateFolder(data, folderToEdit?.id!).then(
+        () => {
+          setSuccessData({
+            title: "Folder updated successfully.",
+          });
+          getFoldersApi(true);
+          setOpen(false);
+          navigate(`all/folder/${folderToEdit.id}`, {
+            state: { folderId: folderToEdit.id },
+          });
+        },
+        //TODO: LOOK THIS ERRO MORE CAREFULLY
+        (reason) => {
+          if (reason) {
+            setErrorData({
+              title: `Error updating folder.`,
+            });
+            console.error(reason);
+          } else {
+            getFoldersApi(true);
+            setOpen(false);
+          }
+        },
+      );
+    } else {
+      addFolder(data).then(
+        (res) => {
+          setSuccessData({
+            title: "Folder created successfully.",
+          });
+          getFoldersApi(true);
+          setOpen(false);
+          navigate(`all/folder/${res.id}`, { state: { folderId: res.id } });
+        },
+        () => {
+          setErrorData({
+            title: `Error creating folder.`,
+          });
+        },
+      );
+    }
+  };
+
+  return { onSubmit, open, setOpen };
+};
+
+export default useFolderSubmit;
diff --git a/src/frontend/src/modals/foldersModal/index.tsx b/src/frontend/src/modals/foldersModal/index.tsx
new file mode 100644
index 00000000000..698055b159a
--- /dev/null
+++ b/src/frontend/src/modals/foldersModal/index.tsx
@@ -0,0 +1,79 @@
+import { zodResolver } from "@hookform/resolvers/zod";
+import { useForm } from "react-hook-form";
+import { z } from "zod";
+import ForwardedIconComponent from "../../components/genericIconComponent";
+import { Button } from "../../components/ui/button";
+import { Form } from "../../components/ui/form";
+import { useFolderStore } from "../../stores/foldersStore";
+import BaseModal from "../baseModal";
+import FolderForms from "./component";
+import { FolderFormsSchema } from "./entities";
+import useFolderSubmit from "./hooks/submit-folder";
+
+type FoldersModalProps = {
+  open: boolean;
+  setOpen: (open: boolean) => void;
+};
+
+export default function FoldersModal({
+  open,
+  setOpen,
+}: FoldersModalProps): JSX.Element {
+  const form = useForm<z.infer<typeof FolderFormsSchema>>({
+    resolver: zodResolver(FolderFormsSchema),
+    defaultValues: {
+      name: "",
+      description: "",
+      components: [],
+      flows: [],
+    },
+    mode: "all",
+  });
+
+  const folderToEdit = useFolderStore((state) => state.folderToEdit);
+  const { onSubmit: onSubmitFolder } = useFolderSubmit(setOpen, folderToEdit);
+
+  const onSubmit = (data) => {
+    onSubmitFolder(data);
+  };
+
+  return (
+    <>
+      <BaseModal size="x-small" open={open} setOpen={setOpen}>
+        <BaseModal.Header
+          description={`${folderToEdit ? "Edit a folder" : "Add a new folder"}`}
+        >
+          <span className="pr-2" data-testid="modal-title">
+            {folderToEdit ? "Edit" : "New"} Folder
+          </span>
+          <ForwardedIconComponent
+            name={folderToEdit ? "Pencil" : "Plus"}
+            className="h-6 w-6 pl-1 text-primary"
+            aria-hidden="true"
+          />
+        </BaseModal.Header>
+        <BaseModal.Content>
+          <div>
+            <Form {...form}>
+              <form onSubmit={form.handleSubmit(onSubmit)}>
+                <FolderForms
+                  folderToEdit={folderToEdit}
+                  control={form.control}
+                  setValue={form.setValue}
+                />
+
+                <Button
+                  className="float-right mt-6"
+                  type="submit"
+                  disabled={!form.formState.isValid}
+                >
+                  {folderToEdit ? "Edit" : "Save"} Folder
+                </Button>
+              </form>
+            </Form>
+          </div>
+        </BaseModal.Content>
+      </BaseModal>
+    </>
+  );
+}
diff --git a/src/frontend/src/modals/formModal/chatInput/index.tsx b/src/frontend/src/modals/formModal/chatInput/index.tsx
deleted file mode 100644
index 0cd109e3bb1..00000000000
--- a/src/frontend/src/modals/formModal/chatInput/index.tsx
+++ /dev/null
@@ -1,111 +0,0 @@
-import { useEffect } from "react";
-import IconComponent from "../../../components/genericIconComponent";
-import { Textarea } from "../../../components/ui/textarea";
-import { chatInputType } from "../../../types/components";
-import { classNames } from "../../../utils/utils";
-
-export default function ChatInput({
-  lockChat,
-  chatValue,
-  sendMessage,
-  setChatValue,
-  inputRef,
-  noInput,
-}: chatInputType): JSX.Element {
-  useEffect(() => {
-    if (!lockChat && inputRef.current) {
-      inputRef.current.focus();
-    }
-  }, [lockChat, inputRef]);
-
-  useEffect(() => {
-    if (inputRef.current) {
-      inputRef.current.style.height = "inherit"; // Reset the height
-      inputRef.current.style.height = `${inputRef.current.scrollHeight}px`; // Set it to the scrollHeight
-    }
-  }, [chatValue]);
-
-  return (
-    <div className="relative">
-      <Textarea
-        onKeyDown={(event) => {
-          if (event.key === "Enter" && !event.nativeEvent.isComposing && !lockChat && !event.shiftKey) {
-            sendMessage();
-          }
-        }}
-        rows={1}
-        ref={inputRef}
-        disabled={lockChat || noInput}
-        style={{
-          resize: "none",
-          bottom: `${inputRef?.current?.scrollHeight}px`,
-          maxHeight: "150px",
-          overflow: `${
-            inputRef.current && inputRef.current.scrollHeight > 150
-              ? "auto"
-              : "hidden"
-          }`,
-        }}
-        value={
-          lockChat
-            ? "Thinking..."
-            : typeof chatValue === "object" &&
-              Object.keys(chatValue)?.length === 0
-            ? "No chat input variables found. Click to run your flow."
-            : chatValue
-        }
-        onChange={(event): void => {
-          setChatValue(event.target.value);
-        }}
-        className={classNames(
-          lockChat
-            ? " form-modal-lock-true bg-input"
-            : noInput
-            ? "form-modal-no-input bg-input"
-            : " form-modal-lock-false bg-background",
-
-          "form-modal-lockchat"
-        )}
-        placeholder={
-          noInput
-            ? "No chat input variables found. Click to run your flow."
-            : "Send a message..."
-        }
-      />
-      <div className="form-modal-send-icon-position">
-        <button
-          className={classNames(
-            "form-modal-send-button",
-            noInput
-              ? "bg-high-indigo text-background"
-              : chatValue === ""
-              ? "text-primary"
-              : "bg-chat-send text-background"
-          )}
-          disabled={lockChat}
-          onClick={(): void => sendMessage()}
-        >
-          {lockChat ? (
-            <IconComponent
-              name="Lock"
-              className="form-modal-lock-icon"
-              aria-hidden="true"
-            />
-          ) : noInput ? (
-            <IconComponent
-              name="Sparkles"
-              className="form-modal-play-icon"
-              aria-hidden="true"
-            />
-          ) : (
-            <IconComponent
-              name="LucideSend"
-              className="form-modal-send-icon "
-              aria-hidden="true"
-            />
-          )}
-        </button>
-      </div>
-    </div>
-  );
-}
diff --git a/src/frontend/src/modals/formModal/chatMessage/codeBlock/index.tsx b/src/frontend/src/modals/formModal/chatMessage/codeBlock/index.tsx
deleted file mode 100644
index 45ee1828895..00000000000
--- a/src/frontend/src/modals/formModal/chatMessage/codeBlock/index.tsx
+++ /dev/null
@@ -1,72 +0,0 @@
-import { IconCheck, IconClipboard, IconDownload } from "@tabler/icons-react";
-import { useState } from "react";
-import { Prism as SyntaxHighlighter } from "react-syntax-highlighter";
-import { oneDark } from "react-syntax-highlighter/dist/cjs/styles/prism";
-import { programmingLanguages } from "../../../../constants/constants";
-import { Props } from "../../../../types/components";
-
-export function CodeBlock({ language, value }: Props): JSX.Element {
-  const [isCopied, setIsCopied] = useState<Boolean>(false);
-
-  const copyToClipboard = (): void => {
-    if (!navigator.clipboard || !navigator.clipboard.writeText) {
-      return;
-    }
-
-    navigator.clipboard.writeText(value).then(() => {
-      setIsCopied(true);
-
-      setTimeout(() => {
-        setIsCopied(false);
-      }, 2000);
-    });
-  };
-  const downloadAsFile = (): void => {
-    const fileExtension = programmingLanguages[language] || ".file";
-    const suggestedFileName = `${"generated-code"}${fileExtension}`;
-    const fileName = window.prompt("enter file name", suggestedFileName);
-
-    if (!fileName) {
-      // user pressed cancel on prompt
-      return;
-    }
-
-    const blob = new Blob([value], { type: "text/plain" });
-    const url = URL.createObjectURL(blob);
-    const link = document.createElement("a");
-    link.download = fileName;
-    link.href = url;
-    link.style.display = "none";
-    document.body.appendChild(link);
-    link.click();
-    document.body.removeChild(link);
-    URL.revokeObjectURL(url);
-  };
-  return (
-    <div className="codeblock font-sans text-[16px]">
-      <div className="code-block-modal">
-        <span className="code-block-modal-span">{language}</span>
-
-        <div className="flex items-center">
-          <button className="code-block-modal-button" onClick={copyToClipboard}>
-            {isCopied ? <IconCheck size={18} /> : <IconClipboard size={18} />}
-            {isCopied ? "Copied!" : "Copy code"}
-          </button>
-          <button className="code-block-modal-button" onClick={downloadAsFile}>
-            <IconDownload size={18} />
-          </button>
-        </div>
-      </div>
-
-      <SyntaxHighlighter
-        className="overflow-auto"
-        language={language}
-        style={oneDark}
-        customStyle={{ margin: 0 }}
-      >
-        {value}
-      </SyntaxHighlighter>
-    </div>
-  );
-}
-CodeBlock.displayName = "CodeBlock";
diff --git a/src/frontend/src/modals/formModal/chatMessage/index.tsx b/src/frontend/src/modals/formModal/chatMessage/index.tsx
deleted file mode 100644
index f9efd1f3989..00000000000
--- a/src/frontend/src/modals/formModal/chatMessage/index.tsx
+++ /dev/null
@@ -1,221 +0,0 @@
-import Convert from "ansi-to-html";
-import { useState } from "react";
-import ReactMarkdown from "react-markdown";
-import rehypeMathjax from "rehype-mathjax";
-import remarkGfm from "remark-gfm";
-import remarkMath from "remark-math";
-import MaleTechnology from "../../../assets/male-technologist.png";
-import Robot from "../../../assets/robot.png";
-import SanitizedHTMLWrapper from "../../../components/SanitizedHTMLWrapper";
-import CodeTabsComponent from "../../../components/codeTabsComponent";
-import IconComponent from "../../../components/genericIconComponent";
-import { chatMessagePropsType } from "../../../types/components";
-import { classNames } from "../../../utils/utils";
-import FileCard from "../fileComponent";
-
-export default function ChatMessage({
-  chat,
-  lockChat,
-  lastMessage,
-}: chatMessagePropsType): JSX.Element {
-  const convert = new Convert({ newline: true });
-  const [hidden, setHidden] = useState(true);
-  const template = chat.template;
-  const [promptOpen, setPromptOpen] = useState(false);
-  return (
-    <div
-      className={classNames("form-modal-chat-position", chat.isSend ? "" : " ")}
-    >
-      <div className={classNames("form-modal-chatbot-icon ")}>
-        {!chat.isSend ? (
-          <div className="form-modal-chat-image">
-            <div className="form-modal-chat-bot-icon ">
-              <img
-                src={Robot}
-                className="form-modal-chat-icon-img"
-                alt="robot_image"
-              />
-            </div>
-          </div>
-        ) : (
-          <div className="form-modal-chat-image">
-            <div className="form-modal-chat-user-icon ">
-              <img
-                src={MaleTechnology}
-                className="form-modal-chat-icon-img"
-                alt="male_technology"
-              />
-            </div>
-          </div>
-        )}
-      </div>
-      {!chat.isSend ? (
-        <div className="form-modal-chat-text-position">
-          <div className="form-modal-chat-text">
-            {hidden && chat.thought && chat.thought !== "" && (
-              <div
-                onClick={(): void => setHidden((prev) => !prev)}
-                className="form-modal-chat-icon-div"
-              >
-                <IconComponent
-                  name="MessageSquare"
-                  className="form-modal-chat-icon"
-                />
-              </div>
-            )}
-            {chat.thought && chat.thought !== "" && !hidden && (
-              <SanitizedHTMLWrapper
-                className=" form-modal-chat-thought"
-                content={convert.toHtml(chat.thought)}
-                onClick={() => setHidden((prev) => !prev)}
-              />
-            )}
-            {chat.thought && chat.thought !== "" && !hidden && <br></br>}
-            <div className="w-full">
-              <div className="w-full dark:text-white">
-                <div className="w-full">
-                  {chat.message.toString() === "" && lockChat ? (
-                    <IconComponent
-                      name="MoreHorizontal"
-                      className="h-8 w-8 animate-pulse"
-                    />
-                  ) : (
-                    <ReactMarkdown
-                      remarkPlugins={[remarkGfm, remarkMath]}
-                      rehypePlugins={[rehypeMathjax]}
-                      className="markdown prose min-w-full text-primary word-break-break-word
-                      dark:prose-invert"
-                      components={{
-                        pre({ node, ...props }) {
-                          return <>{props.children}</>;
-                        },
-                        code: ({
-                          node,
-                          inline,
-                          className,
-                          children,
-                          ...props
-                        }) => {
-                          if (children.length) {
-                            if (children[0] === "▍") {
-                              return (
-                                <span className="form-modal-markdown-span">
-                                  ▍
-                                </span>
-                              );
-                            }
-
-                            children[0] = (children[0] as string).replace(
-                              "`▍`",
-                              "▍"
-                            );
-                          }
-
-                          const match = /language-(\w+)/.exec(className || "");
-
-                          return !inline ? (
-                            <CodeTabsComponent
-                              isMessage
-                              tabs={[
-                                {
-                                  name: (match && match[1]) || "",
-                                  mode: (match && match[1]) || "",
-                                  image:
-                                    "https://curl.se/logo/curl-symbol-transparent.png",
-                                  language: (match && match[1]) || "",
-                                  code: String(children).replace(/\n$/, ""),
-                                },
-                              ]}
-                              activeTab={"0"}
-                              setActiveTab={() => {}}
-                            />
-                          ) : (
-                            <code className={className} {...props}>
-                              {children}
-                            </code>
-                          );
-                        },
-                      }}
-                    >
-                      {chat.message.toString()}
-                    </ReactMarkdown>
-                  )}
-                </div>
-                {chat.files && (
-                  <div className="my-2 w-full">
-                    {chat.files.map((file, index) => {
-                      return (
-                        <div key={index} className="my-2 w-full">
-                          <FileCard
-                            fileName={"Generated File"}
-                            fileType={file.data_type}
-                            content={file.data}
-                          />
-                        </div>
-                      );
-                    })}
-                  </div>
-                )}
-              </div>
-            </div>
-          </div>
-        </div>
-      ) : (
-        <div>
-          {template ? (
-            <>
-              <button
-                className="form-modal-initial-prompt-btn"
-                onClick={() => {
-                  setPromptOpen((old) => !old);
-                }}
-              >
-                Display Prompt
-                <IconComponent
-                  name="ChevronDown"
-                  className={
-                    "h-3 w-3 transition-all " + (promptOpen ? "rotate-180" : "")
-                  }
-                />
-              </button>
-              <span className="prose text-primary word-break-break-word dark:prose-invert">
-                {promptOpen
-                  ? template?.split("\n")?.map((line, index) => {
-                      const regex = /{([^}]+)}/g;
-                      let match;
-                      let parts: Array<JSX.Element | string> = [];
-                      let lastIndex = 0;
-                      while ((match = regex.exec(line)) !== null) {
-                        // Push text up to the match
-                        if (match.index !== lastIndex) {
-                          parts.push(line.substring(lastIndex, match.index));
-                        }
-                        // Push div with matched text
-                        if (chat.message[match[1]]) {
-                          parts.push(
-                            <span className="chat-message-highlight">
-                              {chat.message[match[1]]}
-                            </span>
-                          );
-                        }
-
-                        // Update last index
-                        lastIndex = regex.lastIndex;
-                      }
-                      // Push text after the last match
-                      if (lastIndex !== line.length) {
-                        parts.push(line.substring(lastIndex));
-                      }
-                      return <p>{parts}</p>;
-                    })
-                  : chat.message[chat.chatKey]}
-              </span>
-            </>
-          ) : (
-            <span>{chat.message[chat.chatKey]}</span>
-          )}
-        </div>
-      )}
-    </div>
-  );
-}
diff --git a/src/frontend/src/modals/formModal/fileComponent/index.tsx b/src/frontend/src/modals/formModal/fileComponent/index.tsx
deleted file mode 100644
index b1dc74d1f46..00000000000
--- a/src/frontend/src/modals/formModal/fileComponent/index.tsx
+++ /dev/null
@@ -1,85 +0,0 @@
-import * as base64js from "base64-js";
-import { useState } from "react";
-import IconComponent from "../../../components/genericIconComponent";
-import { fileCardPropsType } from "../../../types/components";
-
-export default function FileCard({
-  fileName,
-  content,
-  fileType,
-}: fileCardPropsType): JSX.Element {
-  const handleDownload = (): void => {
-    const byteArray = new Uint8Array(base64js.toByteArray(content));
-    const blob = new Blob([byteArray], { type: "application/octet-stream" });
-    const url = URL.createObjectURL(blob);
-    const link = document.createElement("a");
-    link.href = url;
-    link.download = fileName + ".png";
-    document.body.appendChild(link);
-    link.click();
-    document.body.removeChild(link);
-    URL.revokeObjectURL(url);
-  };
-  const [isHovered, setIsHovered] = useState(false);
-  function handleMouseEnter(): void {
-    setIsHovered(true);
-  }
-  function handleMouseLeave(): void {
-    setIsHovered(false);
-  }
-
-  if (fileType === "image") {
-    return (
-      <div
-        className="relative h-1/4 w-1/4"
-        onMouseEnter={handleMouseEnter}
-        onMouseLeave={handleMouseLeave}
-      >
-        <img
-          src={`data:image/png;base64,${content}`}
-          alt="generated image"
-          className="h-full  w-full rounded-lg"
-        />
-        {isHovered && (
-          <div className={`file-card-modal-image-div `}>
-            <button
-              className="file-card-modal-image-button "
-              onClick={handleDownload}
-            >
-              <IconComponent
-                name="DownloadCloud"
-                className="h-5 w-5 text-current hover:scale-110"
-              />
-            </button>
-          </div>
-        )}
-      </div>
-    );
-  }
-
-  return (
-    <button onClick={handleDownload} className="file-card-modal-button">
-      <div className="file-card-modal-div">
-        ooooooooooooooo{" "}
-        {fileType === "image" ? (
-          <img
-            src={`data:image/png;base64,${content}`}
-            alt=""
-            className="h-8 w-8"
-          />
-        ) : (
-          <IconComponent name="File" className="h-8 w-8" />
-        )}
-        <div className="file-card-modal-footer">
-          {" "}
-          <div className="file-card-modal-name">{fileName}</div>
-          <div className="file-card-modal-type">{fileType}</div>
-        </div>
-        <IconComponent
-          name="DownloadCloud"
-          className="ml-auto h-6 w-6 text-current"
-        />
-      </div>
-    </button>
-  );
-}
diff --git a/src/frontend/src/modals/formModal/index.tsx b/src/frontend/src/modals/formModal/index.tsx
deleted file mode 100644
index c85e77a0de4..00000000000
--- a/src/frontend/src/modals/formModal/index.tsx
+++ /dev/null
@@ -1,635 +0,0 @@
-import { useContext, useEffect, useRef, useState } from "react";
-import { sendAllProps } from "../../types/api";
-import { ChatMessageType } from "../../types/chat";
-import { FlowType } from "../../types/flow";
-import { classNames } from "../../utils/utils";
-import ChatInput from "./chatInput";
-import ChatMessage from "./chatMessage";
-
-import _, { cloneDeep } from "lodash";
-import AccordionComponent from "../../components/AccordionComponent";
-import IconComponent from "../../components/genericIconComponent";
-import ToggleShadComponent from "../../components/toggleShadComponent";
-import { Badge } from "../../components/ui/badge";
-import {
-  Dialog,
-  DialogContent,
-  DialogDescription,
-  DialogHeader,
-  DialogTitle,
-  DialogTrigger,
-} from "../../components/ui/dialog";
-import { Textarea } from "../../components/ui/textarea";
-import { CHAT_FORM_DIALOG_SUBTITLE } from "../../constants/constants";
-import { AuthContext } from "../../contexts/authContext";
-import { getBuildStatus } from "../../controllers/API";
-import useAlertStore from "../../stores/alertStore";
-import useFlowStore from "../../stores/flowStore";
-import { FlowState } from "../../types/tabs";
-import { validateNodes } from "../../utils/reactflowUtils";
-
-export default function FormModal({
-  flow,
-  open,
-  setOpen,
-}: {
-  open: boolean;
-  setOpen: (open: boolean) => void;
-  flow: FlowType;
-}): JSX.Element {
-  const nodes = useFlowStore((state) => state.nodes);
-  const edges = useFlowStore((state) => state.edges);
-  const flowState = useFlowStore((state) => state.flowState);
-  const setFlowState = useFlowStore((state) => state.setFlowState);
-  const [chatValue, setChatValue] = useState(() => {
-    try {
-      if (!flowState) {
-        throw new Error("flowState is undefined");
-      }
-      const inputKeys = flowState.input_keys;
-      const handleKeys = flowState.handle_keys;
-
-      const keyToUse = Object.keys(inputKeys!).find(
-        (key) => !handleKeys?.some((j) => j === key) && inputKeys![key] === ""
-      );
-
-      return inputKeys![keyToUse!];
-    } catch (error) {
-      console.error(error);
-      // return a sensible default or `undefined` if no default is possible
-      return undefined;
-    }
-  });
-
-  const [chatHistory, setChatHistory] = useState<ChatMessageType[]>([]);
-  const template = useRef(flowState?.template ?? undefined);
-  const { accessToken } = useContext(AuthContext);
-  const setErrorData = useAlertStore((state) => state.setErrorData);
-  const ws = useRef<WebSocket | null>(null);
-  const [lockChat, setLockChat] = useState(false);
-  const isOpen = useRef(open);
-  const messagesRef = useRef<HTMLDivElement | null>(null);
-
-  const [chatKey, setChatKey] = useState(() => {
-    if (flowState?.input_keys) {
-      return Object.keys(flowState.input_keys!).find(
-        (key) =>
-          !flowState.handle_keys!.some((j) => j === key) &&
-          flowState.input_keys![key] === ""
-      );
-    }
-    // TODO: return a sensible default
-    return "";
-  });
-  useEffect(() => {
-    if (messagesRef.current) {
-      messagesRef.current.scrollTop = messagesRef.current.scrollHeight;
-    }
-  }, [chatHistory]);
-
-  useEffect(() => {
-    isOpen.current = open;
-  }, [open]);
-
-  var isStream = false;
-
-  const addChatHistory = (
-    message: string | Object,
-    isSend: boolean,
-    chatKey: string,
-    template?: string,
-    thought?: string,
-    files?: Array<any>
-  ) => {
-    setChatHistory((old) => {
-      let newChat = _.cloneDeep(old);
-      if (files) {
-        newChat.push({ message, isSend, files, thought, chatKey });
-      } else if (thought) {
-        newChat.push({ message, isSend, thought, chatKey });
-      } else if (template) {
-        newChat.push({ message, isSend, chatKey, template });
-      } else {
-        newChat.push({ message, isSend, chatKey });
-      }
-      return newChat;
-    });
-  };
-  //add proper type signature for function
-
-  function updateLastMessage({
-    str,
-    thought,
-    prompt,
-    end = false,
-    files,
-  }: {
-    str?: string;
-    thought?: string;
-    prompt?: string;
-    end?: boolean;
-    files?: Array<any>;
-  }) {
-    setChatHistory((old) => {
-      let newChat = [...old];
-      if (str) {
-        if (end) {
-          newChat[newChat.length - 1].message = str;
-        } else {
-          newChat[newChat.length - 1].message =
-            newChat[newChat.length - 1].message + str;
-        }
-      }
-
-      if (thought && newChat[newChat.length - 1]?.thought) {
-        newChat[newChat.length - 1].thought = thought;
-      }
-      if (files && newChat[newChat.length - 1]?.files) {
-        newChat[newChat.length - 1].files = files;
-      }
-      if (prompt && newChat[newChat.length - 2]?.template) {
-        newChat[newChat.length - 2].template = prompt;
-      }
-      return newChat;
-    });
-  }
-
-  function handleOnClose(event: CloseEvent): void {
-    if (isOpen.current) {
-      //check if the user has been logged out, if so close the chat when the user is redirected to the login page
-      if (window.location.href.includes("login")) {
-        setOpen(false);
-        ws.current?.close();
-        return;
-      }
-
-      getBuildStatus(flow.id)
-        .then((response) => {
-          if (response.data.built) {
-            connectWS();
-          } else {
-            setErrorData({
-              title: "Please build the flow again before using the chat.",
-            });
-          }
-        })
-        .catch((error) => {
-          setErrorData({
-            title: error.data?.detail ? error.data.detail : error.message,
-          });
-        });
-      setErrorData({ title: event.reason });
-      setTimeout(() => {
-        setLockChat(false);
-      }, 1000);
-    }
-  }
-  //TODO improve check of user authentication
-  function getWebSocketUrl(
-    chatId: string,
-    isDevelopment: boolean = false
-  ): string {
-    const isSecureProtocol =
-      window.location.protocol === "https:" || window.location.port === "443";
-    const webSocketProtocol = isSecureProtocol ? "wss" : "ws";
-    const host = isDevelopment ? "localhost:7860" : window.location.host;
-
-    const chatEndpoint = `/api/v1/chat/${chatId}`;
-
-    return `${
-      isDevelopment ? "ws" : webSocketProtocol
-    }://${host}${chatEndpoint}?token=${encodeURIComponent(accessToken!)}`;
-  }
-
-  function handleWsMessage(data: any) {
-    if (Array.isArray(data) && data.length > 0) {
-      //set chat history
-      setChatHistory((_) => {
-        console.log(data);
-        let newChatHistory: ChatMessageType[] = [];
-        for (let i = 0; i < data.length; i++) {
-          if (data[i].type === "prompt" && data[i].prompt) {
-            if (data[i - 1] && !data[i - 1].is_bot) {
-              data[i - 1].prompt = data[i].prompt;
-              template.current = data[i].prompt;
-            }
-          }
-        }
-        data = data.filter((item: any) => item.type !== "prompt");
-        data.forEach(
-          (chatItem: {
-            intermediate_steps?: string;
-            is_bot: boolean;
-            message: string;
-            prompt?: string;
-            type: string;
-            chatKey: string;
-            files?: Array<any>;
-          }) => {
-            if (chatItem.message) {
-              newChatHistory.push(
-                chatItem.files
-                  ? {
-                      isSend: !chatItem.is_bot,
-                      message: chatItem.message,
-                      template: chatItem.prompt,
-                      thought: chatItem.intermediate_steps,
-                      files: chatItem.files,
-                      chatKey: chatItem.chatKey,
-                    }
-                  : {
-                      isSend: !chatItem.is_bot,
-                      message: chatItem.message,
-                      template: chatItem.prompt,
-                      thought: chatItem.intermediate_steps,
-                      chatKey: chatItem.chatKey,
-                    }
-              );
-            }
-          }
-        );
-        return newChatHistory;
-      });
-    }
-    if (data.type === "start") {
-      addChatHistory("", false, chatKey!);
-      isStream = true;
-    }
-    if (data.type === "end") {
-      if (data.message) {
-        updateLastMessage({
-          str: data.message,
-          end: true,
-          prompt: template.current,
-        });
-      }
-      if (data.intermediate_steps) {
-        updateLastMessage({
-          str: data.message,
-          thought: data.intermediate_steps,
-          end: true,
-        });
-      }
-      if (data.files) {
-        updateLastMessage({
-          end: true,
-          files: data.files,
-        });
-      }
-      setLockChat(false);
-      isStream = false;
-    }
-    if (data.type == "prompt" && data.prompt) {
-      template.current = data.prompt;
-    }
-    if (data.type === "stream" && isStream) {
-      updateLastMessage({ str: data.message });
-    }
-  }
-
-  function connectWS(): void {
-    try {
-      const urlWs = getWebSocketUrl(
-        flow.id,
-        process.env.NODE_ENV === "development"
-      );
-      const newWs = new WebSocket(urlWs);
-      newWs.onopen = () => {
-        console.log("WebSocket connection established!");
-      };
-      newWs.onmessage = (event) => {
-        const data = JSON.parse(event.data);
-        handleWsMessage(data);
-        //get chat history
-      };
-      newWs.onclose = (event) => {
-        handleOnClose(event);
-      };
-      newWs.onerror = (ev) => {
-        console.log(ev);
-        connectWS();
-      };
-      ws.current = newWs;
-    } catch (error) {
-      if (flow.id === "") {
-        connectWS();
-      }
-      console.log(error);
-    }
-  }
-
-  useEffect(() => {
-    connectWS();
-    return () => {
-      console.log(ws);
-      if (ws.current) {
-        ws.current.close();
-      }
-    };
-    // do not add connectWS on dependencies array
-  }, [open]);
-
-  useEffect(() => {
-    return () => {
-      if (ws.current) {
-        console.log("closing ws");
-        ws.current.close();
-      }
-    };
-  }, []);
-
-  useEffect(() => {
-    if (
-      ws.current &&
-      (ws.current.readyState === ws.current.CLOSED ||
-        ws.current.readyState === ws.current.CLOSING)
-    ) {
-      connectWS();
-      setLockChat(false);
-    }
-    // do not add connectWS on dependencies array
-  }, [lockChat]);
-
-  async function sendAll(data: sendAllProps): Promise<void> {
-    try {
-      if (ws) {
-        ws.current?.send(JSON.stringify(data));
-      }
-    } catch (error) {
-      setErrorData({
-        title: "There was an error sending the message",
-        list: [(error as { message: string }).message],
-      });
-      setChatValue(data.inputs);
-      connectWS();
-    }
-  }
-
-  useEffect(() => {
-    if (ref.current) ref.current.scrollIntoView({ behavior: "smooth" });
-  }, [chatHistory]);
-
-  const ref = useRef<HTMLDivElement | null>(null);
-
-  useEffect(() => {
-    if (open && ref.current) {
-      ref.current.focus();
-    }
-  }, [open]);
-
-  function sendMessage(): void {
-    let nodeValidationErrors = validateNodes(nodes, edges);
-    if (nodeValidationErrors.length === 0) {
-      setLockChat(true);
-      let inputs = flowState?.input_keys;
-      setChatValue("");
-      const message = inputs;
-      addChatHistory(message!, true, chatKey!, template.current);
-      sendAll({
-        ...flow.data!,
-        inputs: inputs!,
-        chatHistory,
-        name: flow.name,
-        description: flow.description,
-        chatKey: chatKey!,
-      });
-      if (flowState && chatKey) {
-        setFlowState((old: FlowState | undefined) => {
-          let newFlowState = cloneDeep(old!);
-          newFlowState.input_keys![chatKey] = "";
-          return newFlowState;
-        });
-      }
-    } else {
-      setErrorData({
-        title: "Oops! Looks like you missed some required information:",
-        list: nodeValidationErrors,
-      });
-    }
-  }
-  function clearChat(): void {
-    setChatHistory([]);
-    template.current = flowState?.template;
-    ws.current?.send(JSON.stringify({ clear_history: true }));
-    if (lockChat) setLockChat(false);
-  }
-
-  function handleOnCheckedChange(checked: boolean, i: string) {
-    if (checked === true) {
-      setChatKey(i);
-      setChatValue(flowState?.input_keys![i] ?? "");
-    } else {
-      setChatKey(null!);
-      setChatValue("");
-    }
-  }
-  return (
-    <Dialog open={open} onOpenChange={setOpen}>
-      <DialogTrigger hidden></DialogTrigger>
-      {flowState && flowState && (
-        <DialogContent className="min-w-[80vw]">
-          <DialogHeader>
-            <DialogTitle className="flex items-center">
-              <span className="pr-2">Chat</span>
-              <IconComponent
-                name="prompts"
-                className="h-6 w-6 pl-1 text-foreground"
-                aria-hidden="true"
-              />
-            </DialogTitle>
-            <DialogDescription>{CHAT_FORM_DIALOG_SUBTITLE}</DialogDescription>
-          </DialogHeader>
-
-          <div className="form-modal-iv-box ">
-            <div className="form-modal-iv-size">
-              <div className="file-component-arrangement">
-                <IconComponent
-                  name="Variable"
-                  className=" file-component-variable"
-                />
-                <span className="file-component-variables-span text-md">
-                  Input Variables
-                </span>
-              </div>
-              <div className="file-component-variables-title">
-                <div className="file-component-variables-div">
-                  <span className="text-sm font-medium text-primary">Name</span>
-                </div>
-                <div className="file-component-variables-div">
-                  <span className="text-sm font-medium text-primary">
-                    Chat Input
-                  </span>
-                </div>
-              </div>
-
-              {flowState?.input_keys
-                ? Object.keys(flowState?.input_keys!).map((key, index) => (
-                    <div className="file-component-accordion-div" key={index}>
-                      <AccordionComponent
-                        trigger={
-                          <div className="file-component-badge-div">
-                            <Badge variant="gray" size="md">
-                              {key}
-                            </Badge>
-
-                            <div
-                              className="-mb-1"
-                              onClick={(event) => {
-                                event.stopPropagation();
-                              }}
-                            >
-                              <ToggleShadComponent
-                                enabled={chatKey === key}
-                                setEnabled={(value) =>
-                                  handleOnCheckedChange(value, key)
-                                }
-                                size="small"
-                                disabled={flowState.handle_keys!.some(
-                                  (t) => t === key
-                                )}
-                              />
-                            </div>
-                          </div>
-                        }
-                        key={index}
-                        keyValue={key}
-                      >
-                        <div className="file-component-tab-column">
-                          {flowState?.handle_keys!.some((t) => t === key) && (
-                            <div className="font-normal text-muted-foreground ">
-                              Source: Component
-                            </div>
-                          )}
-                          <Textarea
-                            className="custom-scroll"
-                            value={flowState?.input_keys![key]}
-                            onChange={(e) => {
-                              if (flowState) {
-                                setFlowState((old: FlowState | undefined) => {
-                                  let newFlowState = cloneDeep(old!);
-                                  newFlowState.input_keys![key] =
-                                    e.target.value;
-                                  return newFlowState;
-                                });
-                              }
-                            }}
-                            disabled={chatKey === key}
-                            placeholder="Enter text..."
-                          ></Textarea>
-                        </div>
-                      </AccordionComponent>
-                    </div>
-                  ))
-                : null}
-              {flowState?.memory_keys!.map((key, index) => (
-                <div className="file-component-accordion-div" key={index}>
-                  <AccordionComponent
-                    trigger={
-                      <div className="file-component-badge-div">
-                        <Badge variant="gray" size="md">
-                          {key}
-                        </Badge>
-                        <div className="-mb-1">
-                          <ToggleShadComponent
-                            enabled={chatKey === key}
-                            setEnabled={() => {}}
-                            size="small"
-                            disabled={true}
-                          />
-                        </div>
-                      </div>
-                    }
-                    key={index}
-                    keyValue={key}
-                  >
-                    <div className="file-component-tab-column">
-                      <div className="font-normal text-muted-foreground ">
-                        Source: Memory
-                      </div>
-                    </div>
-                  </AccordionComponent>
-                </div>
-              ))}
-            </div>
-            <div className="eraser-column-arrangement">
-              <div className="eraser-size">
-                <div className="eraser-position">
-                  <button disabled={lockChat} onClick={() => clearChat()}>
-                    <IconComponent
-                      name="Eraser"
-                      className={classNames(
-                        "h-5 w-5",
-                        lockChat
-                          ? "animate-pulse text-primary"
-                          : "text-primary hover:text-gray-600"
-                      )}
-                      aria-hidden="true"
-                    />
-                  </button>
-                </div>
-                <div ref={messagesRef} className="chat-message-div">
-                  {chatHistory.length > 0 ? (
-                    chatHistory.map((chat, index) => (
-                      <ChatMessage
-                        lockChat={lockChat}
-                        chat={chat}
-                        lastMessage={
-                          chatHistory.length - 1 === index ? true : false
-                        }
-                        key={index}
-                      />
-                    ))
-                  ) : (
-                    <div className="chat-alert-box">
-                      <span>
-                        👋{" "}
-                        <span className="langflow-chat-span">
-                          Langflow Chat
-                        </span>
-                      </span>
-                      <br />
-                      <div className="langflow-chat-desc">
-                        <span className="langflow-chat-desc-span">
-                          Start a conversation and click the agent's thoughts{" "}
-                          <span>
-                            <IconComponent
-                              name="MessageSquare"
-                              className="mx-1 inline h-5 w-5 animate-bounce "
-                            />
-                          </span>{" "}
-                          to inspect the chaining process.
-                        </span>
-                      </div>
-                    </div>
-                  )}
-                  <div ref={ref}></div>
-                </div>
-                <div className="langflow-chat-input-div">
-                  <div className="langflow-chat-input">
-                    <ChatInput
-                      chatValue={chatValue}
-                      noInput={!chatKey}
-                      lockChat={lockChat}
-                      sendMessage={sendMessage}
-                      setChatValue={(value) => {
-                        setChatValue(value);
-                        if (flowState && chatKey) {
-                          setFlowState((old: FlowState | undefined) => {
-                            let newFlowState = cloneDeep(old!);
-                            newFlowState.input_keys![chatKey] = value;
-                            return newFlowState;
-                          });
-                        }
-                      }}
-                      inputRef={ref}
-                    />
-                  </div>
-                </div>
-              </div>
-            </div>
-          </div>
-        </DialogContent>
-      )}
-    </Dialog>
-  );
-}
diff --git a/src/frontend/src/modals/genericModal/index.tsx b/src/frontend/src/modals/genericModal/index.tsx
index 44173057f68..78b00e16e5a 100644
--- a/src/frontend/src/modals/genericModal/index.tsx
+++ b/src/frontend/src/modals/genericModal/index.tsx
@@ -1,11 +1,18 @@
 import { useEffect, useRef, useState } from "react";
-import SanitizedHTMLWrapper from "../../components/SanitizedHTMLWrapper";
-import ShadTooltip from "../../components/ShadTooltipComponent";
 import IconComponent from "../../components/genericIconComponent";
+import SanitizedHTMLWrapper from "../../components/sanitizedHTMLWrapper";
+import ShadTooltip from "../../components/shadTooltipComponent";
 import { Badge } from "../../components/ui/badge";
 import { Button } from "../../components/ui/button";
 import { Textarea } from "../../components/ui/textarea";
 import {
+  BUG_ALERT,
+  PROMPT_ERROR_ALERT,
+  PROMPT_SUCCESS_ALERT,
+  TEMP_NOTICE_ALERT,
+} from "../../constants/alerts_constants";
+import {
+  EDIT_TEXT_PLACEHOLDER,
   INVALID_CHARACTERS,
   MAX_WORDS_HIGHLIGHT,
   PROMPT_DIALOG_SUBTITLE,
@@ -17,8 +24,9 @@ import { postValidatePrompt } from "../../controllers/API";
 import useAlertStore from "../../stores/alertStore";
 import { genericModalPropsType } from "../../types/components";
 import { handleKeyDown } from "../../utils/reactflowUtils";
-import { classNames, varHighlightHTML } from "../../utils/utils";
+import { classNames } from "../../utils/utils";
 import BaseModal from "../baseModal";
+import varHighlightHTML from "./utils/var-highlight-html";
 
 export default function GenericModal({
   field_name = "",
@@ -30,6 +38,7 @@ export default function GenericModal({
   nodeClass,
   setNodeClass,
   children,
+  disabled,
   id = "",
   readonly = false,
 }: genericModalPropsType): JSX.Element {
@@ -39,7 +48,7 @@ export default function GenericModal({
   const [myModalType] = useState(type);
   const [inputValue, setInputValue] = useState(value);
   const [isEdit, setIsEdit] = useState(true);
-  const [wordsHighlight, setWordsHighlight] = useState<string[]>([]);
+  const [wordsHighlight, setWordsHighlight] = useState<Set<string>>(new Set());
   const setSuccessData = useAlertStore((state) => state.setSuccessData);
   const setErrorData = useAlertStore((state) => state.setErrorData);
   const setNoticeData = useAlertStore((state) => state.setNoticeData);
@@ -74,13 +83,31 @@ export default function GenericModal({
       }
     }
 
-    const filteredWordsHighlight = matches.filter(
-      (word) => !invalid_chars.includes(word)
+    const filteredWordsHighlight = new Set(
+      matches.filter((word) => !invalid_chars.includes(word)),
     );
 
     setWordsHighlight(filteredWordsHighlight);
   }
 
+  const coloredContent = (typeof inputValue === "string" ? inputValue : "")
+    .replace(/</g, "&lt;")
+    .replace(/>/g, "&gt;")
+    .replace(regexHighlight, (match, p1, p2) => {
+      // Decide which group was matched. If p1 is not undefined, do nothing
+      // we don't want to change the text. If p2 is not undefined, then we
+      // have a variable, so we should highlight it.
+      // ! This will not work with multiline or indented json yet
+      if (p1 !== undefined) {
+        return match;
+      } else if (p2 !== undefined) {
+        return varHighlightHTML({ name: p2 });
+      }
+
+      return match;
+    })
+    .replace(/\n/g, "<br />");
+
   useEffect(() => {
     if (type === TypeModal.PROMPT && inputValue && inputValue != "") {
       checkVariables(inputValue);
@@ -88,15 +115,9 @@ export default function GenericModal({
   }, [inputValue, type]);
 
   useEffect(() => {
-    setInputValue(value);
+    if (typeof value === "string") setInputValue(value);
   }, [value, modalOpen]);
 
-  const coloredContent = (inputValue || "")
-    .replace(/</g, "&lt;")
-    .replace(/>/g, "&gt;")
-    .replace(regexHighlight, varHighlightHTML({ name: "$1" }))
-    .replace(/\n/g, "<br />");
-
   function getClassByNumberLength(): string {
     let sumOfCaracteres: number = 0;
     wordsHighlight.forEach((element) => {
@@ -116,7 +137,7 @@ export default function GenericModal({
         // to the first key of the custom_fields object
         if (field_name === "") {
           field_name = Array.isArray(
-            apiReturn.data?.frontend_node?.custom_fields?.[""]
+            apiReturn.data?.frontend_node?.custom_fields?.[""],
           )
             ? apiReturn.data?.frontend_node?.custom_fields?.[""][0] ?? ""
             : apiReturn.data?.frontend_node?.custom_fields?.[""] ?? "";
@@ -133,26 +154,25 @@ export default function GenericModal({
           }
           if (!inputVariables || inputVariables.length === 0) {
             setNoticeData({
-              title: "Your template does not have any variables.",
+              title: TEMP_NOTICE_ALERT,
             });
           } else {
             setSuccessData({
-              title: "Prompt is ready",
+              title: PROMPT_SUCCESS_ALERT,
             });
           }
         } else {
           setIsEdit(true);
           setErrorData({
-            title: "Something went wrong, please try again",
+            title: BUG_ALERT,
           });
         }
       })
       .catch((error) => {
-        console.log(error);
         setIsEdit(true);
         return setErrorData({
-          title: "There is something wrong with this prompt, please review it",
-          list: [error.toString()],
+          title: PROMPT_ERROR_ALERT,
+          list: [error.response.data.detail ?? ""],
         });
       });
   }
@@ -163,7 +183,9 @@ export default function GenericModal({
       open={modalOpen}
       setOpen={setModalOpen}
     >
-      <BaseModal.Trigger>{children}</BaseModal.Trigger>
+      <BaseModal.Trigger disable={disabled} asChild>
+        {children}
+      </BaseModal.Trigger>
       <BaseModal.Header
         description={(() => {
           switch (myModalTitle) {
@@ -182,143 +204,136 @@ export default function GenericModal({
           {myModalTitle}
         </span>
         <IconComponent
-          name="FileText"
-          className="h-6 w-6 pl-1 text-primary "
+          name={myModalTitle === "Edit Prompt" ? "TerminalSquare" : "FileText"}
+          className="h-6 w-6 pl-1 text-primary"
           aria-hidden="true"
         />
       </BaseModal.Header>
-      <BaseModal.Content>
-        <div className="flex h-full flex-col">
-          <div
-            className={classNames(
-              !isEdit ? "rounded-lg border" : "",
-              "flex h-full w-full"
-            )}
-          >
-            {type === TypeModal.PROMPT && isEdit && !readonly ? (
-              <Textarea
-                id={"modal-" + id}
-                data-testid={"modal-" + id}
-                ref={divRefPrompt}
-                className="form-input h-full w-full rounded-lg custom-scroll focus-visible:ring-1"
-                value={inputValue}
-                onBlur={() => {
-                  setIsEdit(false);
-                }}
-                autoFocus
-                onChange={(event) => {
-                  setInputValue(event.target.value);
-                  checkVariables(event.target.value);
-                }}
-                placeholder="Type message here."
-                onKeyDown={(e) => {
-                  handleKeyDown(e, inputValue, "");
-                }}
-              />
-            ) : type === TypeModal.PROMPT && (!isEdit || readonly) ? (
-              <SanitizedHTMLWrapper
-                className={getClassByNumberLength()}
-                content={coloredContent}
-                onClick={() => {
-                  setIsEdit(true);
-                }}
-                suppressWarning={true}
-              />
-            ) : type !== TypeModal.PROMPT ? (
-              <Textarea
-                ref={textRef}
-                className="form-input h-full w-full rounded-lg focus-visible:ring-1"
-                value={inputValue}
-                onChange={(event) => {
-                  setInputValue(event.target.value);
-                }}
-                placeholder="Type message here."
-                onKeyDown={(e) => {
-                  handleKeyDown(e, value, "");
-                }}
-                readOnly={readonly}
-                id={"text-area-modal"}
-                data-testid={"text-area-modal"}
-              />
-            ) : (
-              <></>
-            )}
-          </div>
-
-          <div className="mt-6 flex h-fit w-full items-end justify-between">
-            <div className="mb-auto flex-1">
-              {type === TypeModal.PROMPT && (
-                <div className=" mr-2">
-                  <div
-                    ref={divRef}
-                    className="max-h-20 overflow-y-auto custom-scroll"
-                  >
-                    <div className="flex flex-wrap items-center">
-                      <IconComponent
-                        name="Variable"
-                        className=" -ml-px mr-1 flex h-4 w-4 text-primary"
-                      />
-                      <span className="text-md font-semibold text-primary">
-                        Prompt Variables:
-                      </span>
+      <BaseModal.Content overflowHidden>
+        <div className={classNames("flex h-full w-full rounded-lg border")}>
+          {type === TypeModal.PROMPT && isEdit && !readonly ? (
+            <Textarea
+              id={"modal-" + id}
+              data-testid={"modal-" + id}
+              ref={divRefPrompt}
+              className="form-input h-full w-full resize-none rounded-lg custom-scroll focus-visible:ring-1"
+              value={inputValue}
+              onBlur={() => {
+                setIsEdit(false);
+              }}
+              autoFocus
+              onChange={(event) => {
+                setInputValue(event.target.value);
+                checkVariables(event.target.value);
+              }}
+              placeholder={EDIT_TEXT_PLACEHOLDER}
+              onKeyDown={(e) => {
+                handleKeyDown(e, inputValue, "");
+              }}
+            />
+          ) : type === TypeModal.PROMPT && (!isEdit || readonly) ? (
+            <SanitizedHTMLWrapper
+              className={getClassByNumberLength() + " bg-muted"}
+              content={coloredContent}
+              onClick={() => {
+                setIsEdit(true);
+              }}
+              suppressWarning={true}
+            />
+          ) : type !== TypeModal.PROMPT ? (
+            <Textarea
+              ref={textRef}
+              className="form-input h-full w-full resize-none overflow-auto rounded-lg focus-visible:ring-1"
+              value={inputValue}
+              onChange={(event) => {
+                setInputValue(event.target.value);
+              }}
+              placeholder={EDIT_TEXT_PLACEHOLDER}
+              onKeyDown={(e) => {
+                handleKeyDown(e, value, "");
+              }}
+              readOnly={readonly}
+              id={"text-area-modal"}
+              data-testid={"text-area-modal"}
+            />
+          ) : (
+            <></>
+          )}
+        </div>
+      </BaseModal.Content>
+      <BaseModal.Footer>
+        <div className="flex w-full shrink-0 items-end justify-between">
+          <div className="mb-auto flex-1">
+            {type === TypeModal.PROMPT && (
+              <div className="mr-2">
+                <div
+                  ref={divRef}
+                  className="max-h-20 overflow-y-auto custom-scroll"
+                >
+                  <div className="flex flex-wrap items-center gap-2">
+                    <IconComponent
+                      name="Braces"
+                      className="flex h-4 w-4 text-primary"
+                    />
+                    <span className="text-md font-semibold text-primary">
+                      Prompt Variables:
+                    </span>
 
-                      {wordsHighlight.map((word, index) => (
-                        <ShadTooltip
+                    {Array.from(wordsHighlight).map((word, index) => (
+                      <ShadTooltip
+                        key={index}
+                        content={word.replace(/[{}]/g, "")}
+                        asChild={false}
+                      >
+                        <Badge
                           key={index}
-                          content={word.replace(/[{}]/g, "")}
-                          asChild={false}
+                          variant="gray"
+                          size="md"
+                          className="max-w-[40vw] cursor-default truncate p-1 text-sm"
                         >
-                          <Badge
-                            key={index}
-                            variant="gray"
-                            size="md"
-                            className="m-1 max-w-[40vw] cursor-default truncate p-2.5 text-sm"
-                          >
-                            <div className="relative bottom-[1px]">
-                              <span id={"badge" + index.toString()}>
-                                {word.replace(/[{}]/g, "").length > 59
-                                  ? word.replace(/[{}]/g, "").slice(0, 56) +
-                                    "..."
-                                  : word.replace(/[{}]/g, "")}
-                              </span>
-                            </div>
-                          </Badge>
-                        </ShadTooltip>
-                      ))}
-                    </div>
+                          <div className="relative bottom-[1px]">
+                            <span id={"badge" + index.toString()}>
+                              {word.replace(/[{}]/g, "").length > 59
+                                ? word.replace(/[{}]/g, "").slice(0, 56) + "..."
+                                : word.replace(/[{}]/g, "")}
+                            </span>
+                          </div>
+                        </Badge>
+                      </ShadTooltip>
+                    ))}
                   </div>
-                  <span className="mt-2 text-xs text-muted-foreground">
-                    Prompt variables can be created with any chosen name inside
-                    curly brackets, e.g. {"{variable_name}"}
-                  </span>
                 </div>
-              )}
-            </div>
-            <Button
-              data-testid="genericModalBtnSave"
-              id="genericModalBtnSave"
-              disabled={readonly}
-              onClick={() => {
-                switch (myModalType) {
-                  case TypeModal.TEXT:
-                    setValue(inputValue);
-                    setModalOpen(false);
-                    break;
-                  case TypeModal.PROMPT:
-                    validatePrompt(false);
-                    break;
-
-                  default:
-                    break;
-                }
-              }}
-              type="submit"
-            >
-              {myButtonText}
-            </Button>
+                <span className="mt-2 text-xs text-muted-foreground">
+                  Prompt variables can be created with any chosen name inside
+                  curly brackets, e.g. {"{variable_name}"}
+                </span>
+              </div>
+            )}
           </div>
+          <Button
+            data-testid="genericModalBtnSave"
+            id="genericModalBtnSave"
+            disabled={readonly}
+            onClick={() => {
+              switch (myModalType) {
+                case TypeModal.TEXT:
+                  setValue(inputValue);
+                  setModalOpen(false);
+                  break;
+                case TypeModal.PROMPT:
+                  validatePrompt(false);
+                  break;
+
+                default:
+                  break;
+              }
+            }}
+            type="submit"
+          >
+            {myButtonText}
+          </Button>
         </div>
-      </BaseModal.Content>
+      </BaseModal.Footer>
     </BaseModal>
   );
 }
diff --git a/src/frontend/src/modals/genericModal/utils/var-highlight-html.tsx b/src/frontend/src/modals/genericModal/utils/var-highlight-html.tsx
new file mode 100644
index 00000000000..d88be496507
--- /dev/null
+++ b/src/frontend/src/modals/genericModal/utils/var-highlight-html.tsx
@@ -0,0 +1,6 @@
+import { IVarHighlightType } from "../../../types/components";
+
+export default function varHighlightHTML({ name }: IVarHighlightType): string {
+  const html = `<span class="font-semibold chat-message-highlight">{${name}}</span>`;
+  return html;
+}
diff --git a/src/frontend/src/modals/newFlowModal/components/NewFlowCardComponent/index.tsx b/src/frontend/src/modals/newFlowModal/components/NewFlowCardComponent/index.tsx
new file mode 100644
index 00000000000..5d4a6038501
--- /dev/null
+++ b/src/frontend/src/modals/newFlowModal/components/NewFlowCardComponent/index.tsx
@@ -0,0 +1,37 @@
+import { useLocation, useNavigate } from "react-router-dom";
+import {
+  Card,
+  CardContent,
+  CardDescription,
+  CardTitle,
+} from "../../../../components/ui/card";
+import useFlowsManagerStore from "../../../../stores/flowsManagerStore";
+import { useFolderStore } from "../../../../stores/foldersStore";
+
+export default function NewFlowCardComponent() {
+  const addFlow = useFlowsManagerStore((state) => state.addFlow);
+  const navigate = useNavigate();
+  const location = useLocation();
+  const folderId = location?.state?.folderId;
+  const setFolderUrl = useFolderStore((state) => state.setFolderUrl);
+
+  return (
+    <Card
+      onClick={() => {
+        addFlow(true).then((id) => {
+          setFolderUrl(folderId ?? "");
+          navigate(`/flow/${id}${folderId ? `/folder/${folderId}` : ""}`);
+        });
+      }}
+      className="h-64 w-80 cursor-pointer bg-background pt-4"
+      data-testid="blank-flow"
+    >
+      <CardContent className="h-full w-full">
+        <div className="flex h-full w-full flex-col items-center justify-center rounded-md bg-muted align-middle bg-dotted-spacing-6 bg-dotted-muted-foreground bg-dotted-radius-px"></div>
+      </CardContent>
+      <CardDescription className="px-6 pb-4">
+        <CardTitle className="text-lg text-primary">Blank Flow</CardTitle>
+      </CardDescription>
+    </Card>
+  );
+}
diff --git a/src/frontend/src/modals/newFlowModal/components/undrawCards/index.tsx b/src/frontend/src/modals/newFlowModal/components/undrawCards/index.tsx
new file mode 100644
index 00000000000..d872fabe353
--- /dev/null
+++ b/src/frontend/src/modals/newFlowModal/components/undrawCards/index.tsx
@@ -0,0 +1,126 @@
+/// <reference types="vite-plugin-svgr/client" />
+import { useLocation, useNavigate } from "react-router-dom";
+import BlogPost from "../../../../assets/undraw_blog_post_re_fy5x.svg?react";
+import ChatBot from "../../../../assets/undraw_chat_bot_re_e2gj.svg?react";
+import PromptChaining from "../../../../assets/undraw_cloud_docs_re_xjht.svg?react";
+import APIRequest from "../../../../assets/undraw_real_time_analytics_re_yliv.svg?react";
+import BasicPrompt from "../../../../assets/undraw_short_bio_re_fmx0.svg?react";
+import TransferFiles from "../../../../assets/undraw_transfer_files_re_a2a9.svg?react";
+
+import {
+  Card,
+  CardContent,
+  CardDescription,
+  CardTitle,
+} from "../../../../components/ui/card";
+import useFlowsManagerStore from "../../../../stores/flowsManagerStore";
+import { useFolderStore } from "../../../../stores/foldersStore";
+import { UndrawCardComponentProps } from "../../../../types/components";
+import { updateIds } from "../../../../utils/reactflowUtils";
+
+export default function UndrawCardComponent({
+  flow,
+}: UndrawCardComponentProps): JSX.Element {
+  const addFlow = useFlowsManagerStore((state) => state.addFlow);
+  const navigate = useNavigate();
+  const location = useLocation();
+  const folderId = location?.state?.folderId;
+  const setFolderUrl = useFolderStore((state) => state.setFolderUrl);
+
+  function selectImage() {
+    switch (flow.name) {
+      case "Blog Writer":
+        return (
+          <BlogPost
+            style={{
+              width: "65%",
+              height: "65%",
+            }}
+            preserveAspectRatio="xMidYMid meet"
+          />
+        );
+      case "Basic Prompting (Hello, World)":
+        return (
+          <BasicPrompt
+            style={{
+              width: "65%",
+              height: "65%",
+            }}
+            preserveAspectRatio="xMidYMid meet"
+          />
+        );
+      case "Memory Chatbot":
+        return (
+          <ChatBot
+            style={{
+              width: "70%",
+              height: "70%",
+            }}
+            preserveAspectRatio="xMidYMid meet"
+          />
+        );
+      case "API requests":
+        return (
+          <APIRequest
+            style={{
+              width: "70%",
+              height: "70%",
+            }}
+            preserveAspectRatio="xMidYMid meet"
+          />
+        );
+      case "Document QA":
+        return (
+          <TransferFiles
+            style={{
+              width: "80%",
+              height: "80%",
+            }}
+            preserveAspectRatio="xMidYMid meet"
+          />
+        );
+      case "Vector Store RAG":
+        return (
+          <PromptChaining
+            style={{
+              width: "80%",
+              height: "80%",
+            }}
+            preserveAspectRatio="xMidYMid meet"
+          />
+        );
+      default:
+        return (
+          <TransferFiles
+            style={{
+              width: "80%",
+              height: "80%",
+            }}
+            preserveAspectRatio="xMidYMid meet"
+          />
+        );
+    }
+  }
+
+  return (
+    <Card
+      onClick={() => {
+        updateIds(flow.data!);
+        addFlow(true, flow).then((id) => {
+          setFolderUrl(folderId ?? "");
+          navigate(`/flow/${id}${folderId ? `/folder/${folderId}` : ""}`);
+        });
+      }}
+      className="h-64 w-80 cursor-pointer bg-background pt-4"
+    >
+      <CardContent className="h-full w-full">
+        <div className="flex h-full w-full flex-col items-center justify-center rounded-md bg-muted p-1 align-middle">
+          {selectImage()}
+        </div>
+      </CardContent>
+      <CardDescription className="px-6 pb-4">
+        <CardTitle className="text-lg text-primary">{flow.name}</CardTitle>
+      </CardDescription>
+    </Card>
+  );
+}
diff --git a/src/frontend/src/modals/newFlowModal/index.tsx b/src/frontend/src/modals/newFlowModal/index.tsx
new file mode 100644
index 00000000000..37a6afeeb91
--- /dev/null
+++ b/src/frontend/src/modals/newFlowModal/index.tsx
@@ -0,0 +1,68 @@
+import useFlowsManagerStore from "../../stores/flowsManagerStore";
+import { newFlowModalPropsType } from "../../types/components";
+import BaseModal from "../baseModal";
+import NewFlowCardComponent from "./components/NewFlowCardComponent";
+import UndrawCardComponent from "./components/undrawCards";
+
+export default function NewFlowModal({
+  open,
+  setOpen,
+}: newFlowModalPropsType): JSX.Element {
+  const examples = useFlowsManagerStore((state) => state.examples);
+
+  examples?.forEach((example) => {
+    if (example.name === "Blog Writter") {
+      example.name = "Blog Writer";
+    }
+  });
+
+  return (
+    <BaseModal size="three-cards" open={open} setOpen={setOpen}>
+      <BaseModal.Header description={"Select a template below"}>
+        <span className="pr-2" data-testid="modal-title">
+          Get Started
+        </span>
+      </BaseModal.Header>
+      <BaseModal.Content>
+        <div className="mb-5 grid h-fit w-full grid-cols-3 gap-4 overflow-auto pb-6 custom-scroll">
+          <NewFlowCardComponent />
+
+          {examples.find((e) => e.name == "Basic Prompting (Hello, World)") && (
+            <UndrawCardComponent
+              key={0}
+              flow={
+                examples.find(
+                  (e) => e.name == "Basic Prompting (Hello, World)",
+                )!
+              }
+            />
+          )}
+          {examples.find((e) => e.name == "Memory Chatbot") && (
+            <UndrawCardComponent
+              key={1}
+              flow={examples.find((e) => e.name == "Memory Chatbot")!}
+            />
+          )}
+          {examples.find((e) => e.name == "Document QA") && (
+            <UndrawCardComponent
+              key={2}
+              flow={examples.find((e) => e.name == "Document QA")!}
+            />
+          )}
+          {examples.find((e) => e.name == "Blog Writer") && (
+            <UndrawCardComponent
+              key={3}
+              flow={examples.find((e) => e.name == "Blog Writer")!}
+            />
+          )}
+          {examples.find((e) => e.name == "Vector Store RAG") && (
+            <UndrawCardComponent
+              key={4}
+              flow={examples.find((e) => e.name == "Vector Store RAG")!}
+            />
+          )}
+        </div>
+      </BaseModal.Content>
+    </BaseModal>
+  );
+}
diff --git a/src/frontend/src/modals/nodeModal/components/modalField/index.tsx b/src/frontend/src/modals/nodeModal/components/modalField/index.tsx
new file mode 100644
index 00000000000..e69de29bb2d
diff --git a/src/frontend/src/modals/secretKeyModal/index.tsx b/src/frontend/src/modals/secretKeyModal/index.tsx
new file mode 100644
index 00000000000..eada8c66add
--- /dev/null
+++ b/src/frontend/src/modals/secretKeyModal/index.tsx
@@ -0,0 +1,149 @@
+import * as Form from "@radix-ui/react-form";
+import { useEffect, useRef, useState } from "react";
+import IconComponent from "../../components/genericIconComponent";
+import { Button } from "../../components/ui/button";
+import { Input } from "../../components/ui/input";
+import { COPIED_NOTICE_ALERT } from "../../constants/alerts_constants";
+import { createApiKey } from "../../controllers/API";
+import useAlertStore from "../../stores/alertStore";
+import { ApiKeyType } from "../../types/components";
+import BaseModal from "../baseModal";
+
+export default function SecretKeyModal({
+  children,
+  data,
+  onCloseModal,
+}: ApiKeyType) {
+  const [open, setOpen] = useState(false);
+  const [apiKeyName, setApiKeyName] = useState(data?.apikeyname ?? "");
+  const [apiKeyValue, setApiKeyValue] = useState("");
+  const [renderKey, setRenderKey] = useState(false);
+  const [textCopied, setTextCopied] = useState(true);
+  const setSuccessData = useAlertStore((state) => state.setSuccessData);
+  const inputRef = useRef<HTMLInputElement | null>(null);
+
+  useEffect(() => {
+    if (open) {
+      setRenderKey(false);
+      resetForm();
+    } else {
+      onCloseModal();
+    }
+  }, [open]);
+
+  function resetForm() {
+    setApiKeyName("");
+    setApiKeyValue("");
+  }
+
+  const handleCopyClick = async () => {
+    if (apiKeyValue) {
+      await navigator.clipboard.writeText(apiKeyValue);
+      inputRef?.current?.focus();
+      inputRef?.current?.select();
+      setSuccessData({
+        title: COPIED_NOTICE_ALERT,
+      });
+      setTextCopied(false);
+
+      setTimeout(() => {
+        setTextCopied(true);
+      }, 3000);
+    }
+  };
+
+  function handleAddNewKey() {
+    createApiKey(apiKeyName)
+      .then((res) => {
+        setApiKeyValue(res["api_key"]);
+      })
+      .catch((err) => {});
+  }
+
+  function handleSubmitForm() {
+    if (!renderKey) {
+      setRenderKey(true);
+      handleAddNewKey();
+    } else {
+      setOpen(false);
+    }
+  }
+
+  return (
+    <BaseModal
+      onSubmit={handleSubmitForm}
+      size="small-h-full"
+      open={open}
+      setOpen={setOpen}
+    >
+      <BaseModal.Trigger>{children}</BaseModal.Trigger>
+      <BaseModal.Header
+        description={
+          renderKey ? (
+            <>
+              {" "}
+              Please save this secret key somewhere safe and accessible. For
+              security reasons,{" "}
+              <strong>you won't be able to view it again</strong> through your
+              account. If you lose this secret key, you'll need to generate a
+              new one.
+            </>
+          ) : (
+            <>Create a secret API Key to use Langflow API.</>
+          )
+        }
+      >
+        <span className="pr-2">Create API Key</span>
+        <IconComponent
+          name="Key"
+          className="h-6 w-6 pl-1 text-foreground"
+          aria-hidden="true"
+        />
+      </BaseModal.Header>
+      <BaseModal.Content>
+        {renderKey ? (
+          <>
+            <div className="flex items-center gap-3">
+              <div className="w-full">
+                <Input ref={inputRef} readOnly={true} value={apiKeyValue} />
+              </div>
+
+              <Button
+                onClick={() => {
+                  handleCopyClick();
+                }}
+                unstyled
+              >
+                {textCopied ? (
+                  <IconComponent name="Copy" className="h-4 w-4" />
+                ) : (
+                  <IconComponent name="Check" className="h-4 w-4" />
+                )}
+              </Button>
+            </div>
+          </>
+        ) : (
+          <Form.Field name="apikey">
+            <div className="flex items-center justify-between gap-2">
+              <Form.Control asChild>
+                <Input
+                  //fake api key
+                  id="primary-input"
+                  value={apiKeyName}
+                  ref={inputRef}
+                  onChange={({ target: { value } }) => {
+                    setApiKeyName(value);
+                  }}
+                  placeholder="Insert a name for your API Key"
+                />
+              </Form.Control>
+            </div>
+          </Form.Field>
+        )}
+      </BaseModal.Content>
+      <BaseModal.Footer
+        submit={{ label: renderKey ? "Done" : "Create Secret Key" }}
+      />
+    </BaseModal>
+  );
+}
diff --git a/src/frontend/src/modals/shareModal/index.tsx b/src/frontend/src/modals/shareModal/index.tsx
index a5697f2f346..13d50f0a9c5 100644
--- a/src/frontend/src/modals/shareModal/index.tsx
+++ b/src/frontend/src/modals/shareModal/index.tsx
@@ -1,6 +1,5 @@
-import { Loader2 } from "lucide-react";
 import { ReactNode, useEffect, useMemo, useState } from "react";
-import EditFlowSettings from "../../components/EditFlowSettingsComponent";
+import EditFlowSettings from "../../components/editFlowSettingsComponent";
 import IconComponent from "../../components/genericIconComponent";
 import { TagsSelector } from "../../components/tagsSelectorComponent";
 import { Button } from "../../components/ui/button";
@@ -20,10 +19,12 @@ import {
   downloadNode,
   removeApiKeys,
   removeFileNameFromComponents,
+  removeGlobalVariableFromComponents,
 } from "../../utils/reactflowUtils";
-import { getTagsIds } from "../../utils/storeUtils";
-import ConfirmationModal from "../ConfirmationModal";
 import BaseModal from "../baseModal";
+import ConfirmationModal from "../confirmationModal";
+import ExportModal from "../exportModal";
+import getTagsIds from "./utils/get-tags-ids";
 
 export default function ShareModal({
   component,
@@ -46,9 +47,12 @@ export default function ShareModal({
 
   const setSuccessData = useAlertStore((state) => state.setSuccessData);
   const setErrorData = useAlertStore((state) => state.setErrorData);
-  const [internalOpen, internalSetOpen] = useState(children ? false : true);
+  const [internalOpen, internalSetOpen] =
+    setOpen !== undefined && open !== undefined
+      ? [open, setOpen]
+      : useState(children ? false : true);
   const [openConfirmationModal, setOpenConfirmationModal] = useState(false);
-  const nameComponent = is_component ? "component" : "flow";
+  const nameComponent = is_component ? "component" : "workflow";
 
   const [tags, setTags] = useState<{ id: string; name: string }[]>([]);
   const [loadingTags, setLoadingTags] = useState<boolean>(false);
@@ -65,13 +69,13 @@ export default function ShareModal({
   const description = component?.description ?? "";
 
   useEffect(() => {
-    if (open || internalOpen) {
+    if (internalOpen) {
       if (hasApiKey && hasStore) {
         handleGetTags();
         handleGetNames();
       }
     }
-  }, [open, internalOpen, hasApiKey, hasStore]);
+  }, [internalOpen, hasApiKey, hasStore]);
 
   function handleGetTags() {
     setLoadingTags(true);
@@ -100,6 +104,7 @@ export default function ShareModal({
   const handleShareComponent = async (update = false) => {
     //remove file names from flows before sharing
     removeFileNameFromComponents(component);
+    removeGlobalVariableFromComponents(component);
     const flow: FlowType = removeApiKeys({
       id: component!.id,
       data: component!.data,
@@ -126,14 +131,14 @@ export default function ShareModal({
             title: "Error sharing " + is_component ? "component" : "flow",
             list: [err["response"]["data"]["detail"]],
           });
-        }
+        },
       );
     else
       updateFlowStore(
         flow!,
         getTagsIds(selectedTags, tags),
         sharePublic,
-        unavaliableNames.find((e) => e.name === name)!.id
+        unavaliableNames.find((e) => e.name === name)!.id,
       ).then(successShare, (err) => {
         setErrorData({
           title: "Error sharing " + is_component ? "component" : "flow",
@@ -144,8 +149,7 @@ export default function ShareModal({
 
   const handleUpdateComponent = () => {
     handleShareComponent(true);
-    if (setOpen) setOpen(false);
-    else internalSetOpen(false);
+    internalSetOpen(false);
   };
 
   const handleExportComponent = () => {
@@ -178,8 +182,8 @@ export default function ShareModal({
               current?
             </span>
             <br></br>
-            <span className=" text-xs text-destructive ">
-              Warning: This action cannot be undone.
+            <span className="text-xs text-destructive">
+              Note: This action is irreversible.
             </span>
           </ConfirmationModal.Content>
         </ConfirmationModal>
@@ -197,14 +201,28 @@ export default function ShareModal({
     <>
       <BaseModal
         size="smaller-h-full"
-        open={(!disabled && open) ?? internalOpen}
-        setOpen={setOpen ?? internalSetOpen}
+        open={!disabled && internalOpen}
+        setOpen={internalSetOpen}
+        onSubmit={() => {
+          const isNameAvailable = !unavaliableNames.some(
+            (element) => element.name === name,
+          );
+
+          if (isNameAvailable) {
+            handleShareComponent();
+            internalSetOpen(false);
+          } else {
+            setOpenConfirmationModal(true);
+          }
+        }}
       >
         <BaseModal.Trigger asChild>
           {children ? children : <></>}
         </BaseModal.Trigger>
         <BaseModal.Header
-          description={`Share your ${nameComponent} to the Langflow Store.`}
+          description={`Publish ${
+            is_component ? "your component" : "workflow"
+          } to the Langflow Store.`}
         >
           <span className="pr-2">Share</span>
           <IconComponent
@@ -233,62 +251,55 @@ export default function ShareModal({
               onCheckedChange={(event: boolean) => {
                 setSharePublic(event);
               }}
+              data-testid="public-checkbox"
             />
-            <label htmlFor="public" className="export-modal-save-api text-sm ">
-              Make {nameComponent} public
+            <label htmlFor="public" className="export-modal-save-api text-sm">
+              Set {nameComponent} status to public
             </label>
           </div>
-          <span className=" text-xs text-destructive ">
-            <b>Warning:</b> API keys in designated fields are removed when
-            sharing.
+          <span className="text-xs text-destructive">
+            <b>Attention:</b> API keys in specified fields are automatically
+            removed upon sharing.
           </span>
         </BaseModal.Content>
 
-        <BaseModal.Footer>
-          <div className="flex w-full justify-between gap-2">
-            <Button
-              type="button"
-              variant="outline"
-              className="gap-2"
-              onClick={() => {
-                handleExportComponent();
-                (setOpen || internalSetOpen)(false);
-              }}
-            >
-              <IconComponent name="Download" className="h-4 w-4" />
-              Export
-            </Button>
-            <Button
-              disabled={loadingNames}
-              type="button"
-              className={is_component ? "w-40" : "w-28"}
-              onClick={() => {
-                const isNameAvailable = !unavaliableNames.some(
-                  (element) => element.name === name
-                );
-
-                if (isNameAvailable) {
-                  handleShareComponent();
-                  (setOpen || internalSetOpen)(false);
-                } else {
-                  setOpenConfirmationModal(true);
-                }
-              }}
-            >
-              {loadingNames ? (
-                <>
-                  <div className="center">
-                    <Loader2 className="m-auto h-4 w-4 animate-spin"></Loader2>
-                  </div>
-                </>
-              ) : (
-                <>
-                  Share{" "}
-                  {!loadingNames && (!is_component ? "Flow" : "Component")}
-                </>
-              )}
-            </Button>
-          </div>
+        <BaseModal.Footer
+          submit={{
+            label: `Share ${is_component ? " Component" : " Flow"}`,
+            loading: loadingNames,
+          }}
+        >
+          <>
+            {!is_component && (
+              <ExportModal>
+                <Button
+                  type="button"
+                  variant="outline"
+                  className="gap-2"
+                  onClick={() => {
+                    // (setOpen || internalSetOpen)(false);
+                  }}
+                >
+                  <IconComponent name="Download" className="h-4 w-4" />
+                  Export
+                </Button>
+              </ExportModal>
+            )}
+            {is_component && (
+              <Button
+                type="button"
+                variant="outline"
+                className="gap-2"
+                onClick={() => {
+                  internalSetOpen(false);
+                  handleExportComponent();
+                }}
+              >
+                <IconComponent name="Download" className="h-4 w-4" />
+                Export
+              </Button>
+            )}
+          </>
         </BaseModal.Footer>
       </BaseModal>
       <>{modalConfirmation}</>
diff --git a/src/frontend/src/modals/shareModal/utils/get-tags-ids.tsx b/src/frontend/src/modals/shareModal/utils/get-tags-ids.tsx
new file mode 100644
index 00000000000..364d310a508
--- /dev/null
+++ b/src/frontend/src/modals/shareModal/utils/get-tags-ids.tsx
@@ -0,0 +1,8 @@
+export default function getTagsIds(
+  tags: string[],
+  tagListId: { name: string; id: string }[],
+) {
+  return tags
+    .map((tag) => tagListId.find((tagObj) => tagObj.name === tag))!
+    .map((tag) => tag!.id);
+}
diff --git a/src/frontend/src/modals/textModal/components/textEditorArea/index.tsx b/src/frontend/src/modals/textModal/components/textEditorArea/index.tsx
new file mode 100644
index 00000000000..64e5b70300f
--- /dev/null
+++ b/src/frontend/src/modals/textModal/components/textEditorArea/index.tsx
@@ -0,0 +1,31 @@
+import { Textarea } from "../../../../components/ui/textarea";
+
+const TextEditorArea = ({
+  left,
+  value,
+  onChange,
+  readonly,
+}: {
+  left: boolean | undefined;
+  value: any;
+  onChange?: (string) => void;
+  readonly: boolean;
+}) => {
+  if (typeof value === "object" && Object.keys(value).includes("text")) {
+    value = value.text;
+  }
+  return (
+    <Textarea
+      readOnly={readonly}
+      className={`w-full custom-scroll ${left ? "min-h-32" : "h-full"}`}
+      placeholder={"Empty"}
+      // update to real value on flowPool
+      value={value}
+      onChange={(e) => {
+        if (onChange) onChange(e.target.value);
+      }}
+    />
+  );
+};
+
+export default TextEditorArea;
diff --git a/src/frontend/src/modals/textModal/index.tsx b/src/frontend/src/modals/textModal/index.tsx
new file mode 100644
index 00000000000..715747072ff
--- /dev/null
+++ b/src/frontend/src/modals/textModal/index.tsx
@@ -0,0 +1,80 @@
+import "ace-builds/src-noconflict/ace";
+import "ace-builds/src-noconflict/ext-language_tools";
+import "ace-builds/src-noconflict/mode-python";
+import "ace-builds/src-noconflict/theme-github";
+import "ace-builds/src-noconflict/theme-twilight";
+// import "ace-builds/webpack-resolver";
+import { cloneDeep, set } from "lodash";
+import { useEffect, useState } from "react";
+import JsonView from "react18-json-view";
+import "react18-json-view/src/dark.css";
+import "react18-json-view/src/style.css";
+import IconComponent from "../../components/genericIconComponent";
+import { Button } from "../../components/ui/button";
+import {
+  CODE_DICT_DIALOG_SUBTITLE,
+  TEXT_DIALOG_SUBTITLE,
+} from "../../constants/constants";
+import TextOutputView from "../../shared/components/textOutputView";
+import { useDarkStore } from "../../stores/darkStore";
+import BaseModal from "../baseModal";
+import TextEditorArea from "./components/textEditorArea";
+
+export default function TextModal({
+  children,
+  value,
+  setValue,
+  editable = false,
+}: {
+  children: JSX.Element;
+  value: string;
+  setValue: (value: string) => void;
+  editable?: boolean;
+}): JSX.Element {
+  const [open, setOpen] = useState(false);
+  const [internalValue, setInternalValue] = useState(value);
+
+  return (
+    <BaseModal size="medium-h-full" open={open} setOpen={setOpen}>
+      <BaseModal.Trigger className="h-full">{children}</BaseModal.Trigger>
+      <BaseModal.Header description={""}>
+        <span className="pr-2">View Text</span>
+        <IconComponent
+          name="Type"
+          className="h-6 w-6 pl-1 text-primary"
+          aria-hidden="true"
+        />
+      </BaseModal.Header>
+      <BaseModal.Content>
+        <div className="flex h-full w-full flex-col transition-all">
+          <div className="h-[370px]">
+            <TextEditorArea
+              readonly={!editable}
+              onChange={(text) => setInternalValue(text)}
+              value={internalValue}
+              left={false}
+            />
+          </div>
+        </div>
+      </BaseModal.Content>
+      <BaseModal.Footer>
+        <div className="flex w-full justify-end gap-2 pt-2">
+          {editable && (
+            <Button
+              className="flex gap-2 px-3"
+              onClick={() => {
+                setValue(internalValue);
+                setOpen(false);
+              }}
+            >
+              Save
+            </Button>
+          )}
+          <Button className="flex gap-2 px-3" onClick={() => setOpen(false)}>
+            Close
+          </Button>
+        </div>
+      </BaseModal.Footer>
+    </BaseModal>
+  );
+}
diff --git a/src/frontend/src/modals/UserManagementModal/index.tsx b/src/frontend/src/modals/userManagementModal/index.tsx
similarity index 100%
rename from src/frontend/src/modals/UserManagementModal/index.tsx
rename to src/frontend/src/modals/userManagementModal/index.tsx
diff --git a/src/frontend/src/pages/AdminPage/LoginPage/index.tsx b/src/frontend/src/pages/AdminPage/LoginPage/index.tsx
index 3322694d557..0c7e073dff5 100644
--- a/src/frontend/src/pages/AdminPage/LoginPage/index.tsx
+++ b/src/frontend/src/pages/AdminPage/LoginPage/index.tsx
@@ -2,6 +2,7 @@ import { useContext, useState } from "react";
 import { useNavigate } from "react-router-dom";
 import { Button } from "../../../components/ui/button";
 import { Input } from "../../../components/ui/input";
+import { SIGNIN_ERROR_ALERT } from "../../../constants/alerts_constants";
 import { CONTROL_LOGIN_STATE } from "../../../constants/constants";
 import { AuthContext } from "../../../contexts/authContext";
 import { onLogin } from "../../../controllers/API";
@@ -18,6 +19,7 @@ export default function LoginAdminPage() {
   const [inputState, setInputState] =
     useState<loginInputStateType>(CONTROL_LOGIN_STATE);
   const { login, isAuthenticated, setUserData } = useContext(AuthContext);
+  const setLoading = useAlertStore((state) => state.setLoading);
 
   const { password, username } = inputState;
   const setErrorData = useAlertStore((state) => state.setErrorData);
@@ -34,12 +36,16 @@ export default function LoginAdminPage() {
     };
     onLogin(user)
       .then((user) => {
+        console.log("admin page");
+
+        setLoading(true);
+
         login(user.access_token);
         navigate("/admin/");
       })
       .catch((error) => {
         setErrorData({
-          title: "Error signing in",
+          title: SIGNIN_ERROR_ALERT,
           list: [error["response"]["data"]["detail"]],
         });
       });
diff --git a/src/frontend/src/pages/AdminPage/index.tsx b/src/frontend/src/pages/AdminPage/index.tsx
index 15537d5a6ec..80c36adff2a 100644
--- a/src/frontend/src/pages/AdminPage/index.tsx
+++ b/src/frontend/src/pages/AdminPage/index.tsx
@@ -1,10 +1,10 @@
 import { cloneDeep } from "lodash";
 import { useContext, useEffect, useRef, useState } from "react";
-import PaginatorComponent from "../../components/PaginatorComponent";
-import ShadTooltip from "../../components/ShadTooltipComponent";
 import IconComponent from "../../components/genericIconComponent";
 import Header from "../../components/headerComponent";
 import LoadingComponent from "../../components/loadingComponent";
+import PaginatorComponent from "../../components/paginatorComponent";
+import ShadTooltip from "../../components/shadTooltipComponent";
 import { Button } from "../../components/ui/button";
 import { CheckBoxDiv } from "../../components/ui/checkbox";
 import { Input } from "../../components/ui/input";
@@ -16,6 +16,14 @@ import {
   TableHeader,
   TableRow,
 } from "../../components/ui/table";
+import {
+  USER_ADD_ERROR_ALERT,
+  USER_ADD_SUCCESS_ALERT,
+  USER_DEL_ERROR_ALERT,
+  USER_DEL_SUCCESS_ALERT,
+  USER_EDIT_ERROR_ALERT,
+  USER_EDIT_SUCCESS_ALERT,
+} from "../../constants/alerts_constants";
 import {
   ADMIN_HEADER_DESCRIPTION,
   ADMIN_HEADER_TITLE,
@@ -27,8 +35,8 @@ import {
   getUsersPage,
   updateUser,
 } from "../../controllers/API";
-import ConfirmationModal from "../../modals/ConfirmationModal";
-import UserManagementModal from "../../modals/UserManagementModal";
+import ConfirmationModal from "../../modals/confirmationModal";
+import UserManagementModal from "../../modals/userManagementModal";
 import useAlertStore from "../../stores/alertStore";
 import useFlowsManagerStore from "../../stores/flowsManagerStore";
 import { Users } from "../../types/api";
@@ -45,7 +53,7 @@ export default function AdminPage() {
   const { userData } = useContext(AuthContext);
   const [totalRowsCount, setTotalRowsCount] = useState(0);
   const setCurrentFlowId = useFlowsManagerStore(
-    (state) => state.setCurrentFlowId
+    (state) => state.setCurrentFlowId,
   );
 
   // set null id
@@ -106,7 +114,7 @@ export default function AdminPage() {
       setFilterUserList(userList.current);
     } else {
       const filteredList = userList.current.filter((user: Users) =>
-        user.username.toLowerCase().includes(input.toLowerCase())
+        user.username.toLowerCase().includes(input.toLowerCase()),
       );
       setFilterUserList(filteredList);
     }
@@ -117,12 +125,12 @@ export default function AdminPage() {
       .then((res) => {
         resetFilter();
         setSuccessData({
-          title: "Success! User deleted!",
+          title: USER_DEL_SUCCESS_ALERT,
         });
       })
       .catch((error) => {
         setErrorData({
-          title: "Error on delete user",
+          title: USER_DEL_ERROR_ALERT,
           list: [error["response"]["data"]["detail"]],
         });
       });
@@ -133,12 +141,12 @@ export default function AdminPage() {
       .then((res) => {
         resetFilter();
         setSuccessData({
-          title: "Success! User edited!",
+          title: USER_EDIT_SUCCESS_ALERT,
         });
       })
       .catch((error) => {
         setErrorData({
-          title: "Error on edit user",
+          title: USER_EDIT_ERROR_ALERT,
           list: [error["response"]["data"]["detail"]],
         });
       });
@@ -152,12 +160,12 @@ export default function AdminPage() {
       .then((res) => {
         resetFilter();
         setSuccessData({
-          title: "Success! User edited!",
+          title: USER_EDIT_SUCCESS_ALERT,
         });
       })
       .catch((error) => {
         setErrorData({
-          title: "Error on edit user",
+          title: USER_EDIT_ERROR_ALERT,
           list: [error["response"]["data"]["detail"]],
         });
       });
@@ -170,12 +178,12 @@ export default function AdminPage() {
       .then((res) => {
         resetFilter();
         setSuccessData({
-          title: "Success! User edited!",
+          title: USER_EDIT_SUCCESS_ALERT,
         });
       })
       .catch((error) => {
         setErrorData({
-          title: "Error on edit user",
+          title: USER_EDIT_ERROR_ALERT,
           list: [error["response"]["data"]["detail"]],
         });
       });
@@ -190,13 +198,13 @@ export default function AdminPage() {
         }).then((res) => {
           resetFilter();
           setSuccessData({
-            title: "Success! New user added!",
+            title: USER_ADD_SUCCESS_ALERT,
           });
         });
       })
       .catch((error) => {
         setErrorData({
-          title: "Error when adding new user",
+          title: USER_ADD_ERROR_ALERT,
           list: [error.response.data.detail],
         });
       });
@@ -276,7 +284,7 @@ export default function AdminPage() {
                   (loadingUsers ? " border-0" : "")
                 }
               >
-                <Table className={"table-fixed outline-1 "}>
+                <Table className={"table-fixed outline-1"}>
                   <TableHeader
                     className={
                       loadingUsers ? "hidden" : "table-fixed bg-muted outline-1"
@@ -289,7 +297,7 @@ export default function AdminPage() {
                       <TableHead className="h-10">Superuser</TableHead>
                       <TableHead className="h-10">Created At</TableHead>
                       <TableHead className="h-10">Updated At</TableHead>
-                      <TableHead className="h-10 w-[100px]  text-right"></TableHead>
+                      <TableHead className="h-10 w-[100px] text-right"></TableHead>
                     </TableRow>
                   </TableHeader>
                   {!loadingUsers && (
@@ -323,7 +331,7 @@ export default function AdminPage() {
                                 handleDisableUser(
                                   user.is_active,
                                   user.id,
-                                  user
+                                  user,
                                 );
                               }}
                             >
@@ -355,7 +363,7 @@ export default function AdminPage() {
                                 handleSuperUserEdit(
                                   user.is_superuser,
                                   user.id,
-                                  user
+                                  user,
                                 );
                               }}
                             >
@@ -372,7 +380,7 @@ export default function AdminPage() {
                               </ConfirmationModal.Trigger>
                             </ConfirmationModal>
                           </TableCell>
-                          <TableCell className="truncate py-2 ">
+                          <TableCell className="truncate py-2">
                             {
                               new Date(user.create_at!)
                                 .toISOString()
diff --git a/src/frontend/src/pages/ApiKeysPage/index.tsx b/src/frontend/src/pages/ApiKeysPage/index.tsx
deleted file mode 100644
index a0c0845f286..00000000000
--- a/src/frontend/src/pages/ApiKeysPage/index.tsx
+++ /dev/null
@@ -1,287 +0,0 @@
-import { useContext, useEffect, useRef, useState } from "react";
-import ShadTooltip from "../../components/ShadTooltipComponent";
-import IconComponent from "../../components/genericIconComponent";
-import { Button } from "../../components/ui/button";
-import {
-  Table,
-  TableBody,
-  TableCell,
-  TableHead,
-  TableHeader,
-  TableRow,
-} from "../../components/ui/table";
-import { AuthContext } from "../../contexts/authContext";
-import { deleteApiKey, getApiKey } from "../../controllers/API";
-import ConfirmationModal from "../../modals/ConfirmationModal";
-import SecretKeyModal from "../../modals/SecretKeyModal";
-
-import moment from "moment";
-import Header from "../../components/headerComponent";
-import {
-  API_PAGE_PARAGRAPH_1,
-  API_PAGE_PARAGRAPH_2,
-  API_PAGE_USER_KEYS,
-  LAST_USED_SPAN_1,
-  LAST_USED_SPAN_2,
-} from "../../constants/constants";
-import useAlertStore from "../../stores/alertStore";
-import { ApiKey } from "../../types/components";
-
-export default function ApiKeysPage() {
-  const [loadingKeys, setLoadingKeys] = useState(true);
-  const setSuccessData = useAlertStore((state) => state.setSuccessData);
-  const setErrorData = useAlertStore((state) => state.setErrorData);
-  const { userData } = useContext(AuthContext);
-  const [userId, setUserId] = useState("");
-  const keysList = useRef([]);
-
-  useEffect(() => {
-    getKeys();
-  }, [userData]);
-
-  function getKeys() {
-    setLoadingKeys(true);
-    if (userData) {
-      getApiKey()
-        .then((keys: [ApiKey]) => {
-          keysList.current = keys["api_keys"];
-          setUserId(keys["user_id"]);
-          setLoadingKeys(false);
-        })
-        .catch((error) => {
-          setLoadingKeys(false);
-        });
-    }
-  }
-
-  function resetFilter() {
-    getKeys();
-  }
-
-  function handleDeleteKey(keys) {
-    deleteApiKey(keys)
-      .then((res) => {
-        resetFilter();
-        setSuccessData({
-          title: "Success! Key deleted!",
-        });
-      })
-      .catch((error) => {
-        setErrorData({
-          title: "Error on delete key",
-          list: [error["response"]["data"]["detail"]],
-        });
-      });
-  }
-
-  function lastUsedMessage() {
-    return (
-      <div className="text-xs">
-        <span>
-          {LAST_USED_SPAN_1}
-          <br></br> {LAST_USED_SPAN_2}
-        </span>
-      </div>
-    );
-  }
-
-  return (
-    <>
-      <Header></Header>
-      {userData && (
-        <div className="main-page-panel">
-          <div className="m-auto flex h-full flex-row justify-center">
-            <div className="basis-5/6">
-              <div className="m-auto flex h-full flex-col space-y-8 p-8 ">
-                <div className="flex items-center justify-between space-y-2">
-                  <div>
-                    <h2 className="text-2xl font-bold tracking-tight">
-                      API keys
-                    </h2>
-                    <p className="text-muted-foreground">
-                      {API_PAGE_PARAGRAPH_1}
-                      <br />
-                      {API_PAGE_PARAGRAPH_2}
-                    </p>
-                  </div>
-                  <div className="flex items-center space-x-2"></div>
-                </div>
-
-                {keysList.current &&
-                  keysList.current.length === 0 &&
-                  !loadingKeys && (
-                    <>
-                      <div className="flex items-center justify-between">
-                        <h2>{API_PAGE_USER_KEYS}</h2>
-                      </div>
-                    </>
-                  )}
-                <>
-                  {loadingKeys && (
-                    <div>
-                      <strong>Loading...</strong>
-                    </div>
-                  )}
-                  <div
-                    className={
-                      "max-h-[15rem] overflow-scroll overflow-x-hidden rounded-md border-2 bg-muted custom-scroll" +
-                      (loadingKeys ? " border-0" : "")
-                    }
-                  >
-                    {keysList.current &&
-                      keysList.current.length > 0 &&
-                      !loadingKeys && (
-                        <Table className={"table-fixed bg-muted outline-1"}>
-                          <TableHeader
-                            className={
-                              loadingKeys
-                                ? "hidden"
-                                : "table-fixed bg-muted outline-1"
-                            }
-                          >
-                            <TableRow>
-                              <TableHead className="h-10">Name</TableHead>
-                              <TableHead className="h-10">Key</TableHead>
-                              <TableHead className="h-10">Created</TableHead>
-                              <TableHead className="flex h-10 items-center">
-                                Last Used
-                                <ShadTooltip
-                                  side="top"
-                                  content={lastUsedMessage()}
-                                >
-                                  <div>
-                                    <IconComponent
-                                      name="Info"
-                                      className="ml-1 h-3 w-3"
-                                    />
-                                  </div>
-                                </ShadTooltip>
-                              </TableHead>
-                              <TableHead className="h-10">Total Uses</TableHead>
-                              <TableHead className="h-10 w-[100px]  text-right"></TableHead>
-                            </TableRow>
-                          </TableHeader>
-                          {!loadingKeys && (
-                            <TableBody>
-                              {keysList.current.map(
-                                (api_keys: ApiKey, index: number) => (
-                                  <TableRow key={index}>
-                                    <TableCell className="truncate py-2">
-                                      <ShadTooltip content={api_keys.name}>
-                                        <span className="cursor-default">
-                                          {api_keys.name ? api_keys.name : "-"}
-                                        </span>
-                                      </ShadTooltip>
-                                    </TableCell>
-                                    <TableCell className="truncate py-2">
-                                      <span className="cursor-default">
-                                        {api_keys.api_key}
-                                      </span>
-                                    </TableCell>
-                                    <TableCell className="truncate py-2 ">
-                                      <ShadTooltip
-                                        side="top"
-                                        content={moment(
-                                          api_keys.created_at
-                                        ).format("YYYY-MM-DD HH:mm")}
-                                      >
-                                        <div>
-                                          {moment(api_keys.created_at).format(
-                                            "YYYY-MM-DD HH:mm"
-                                          )}
-                                        </div>
-                                      </ShadTooltip>
-                                    </TableCell>
-                                    <TableCell className="truncate py-2">
-                                      <ShadTooltip
-                                        side="top"
-                                        content={
-                                          moment(api_keys.last_used_at).format(
-                                            "YYYY-MM-DD HH:mm"
-                                          ) === "Invalid date"
-                                            ? "Never"
-                                            : moment(
-                                                api_keys.last_used_at
-                                              ).format("YYYY-MM-DD HH:mm")
-                                        }
-                                      >
-                                        <div>
-                                          {moment(api_keys.last_used_at).format(
-                                            "YYYY-MM-DD HH:mm"
-                                          ) === "Invalid date"
-                                            ? "Never"
-                                            : moment(
-                                                api_keys.last_used_at
-                                              ).format("YYYY-MM-DD HH:mm")}
-                                        </div>
-                                      </ShadTooltip>
-                                    </TableCell>
-                                    <TableCell className="truncate py-2">
-                                      {api_keys.total_uses}
-                                    </TableCell>
-                                    <TableCell className="flex w-[100px] py-2 text-right">
-                                      <div className="flex">
-                                        <ConfirmationModal
-                                          title="Delete"
-                                          titleHeader="Delete User"
-                                          modalContentTitle="Attention!"
-                                          cancelText="Cancel"
-                                          confirmationText="Delete"
-                                          icon={"UserMinus2"}
-                                          data={api_keys.id}
-                                          index={index}
-                                          onConfirm={(index, keys) => {
-                                            handleDeleteKey(keys);
-                                          }}
-                                        >
-                                          <ConfirmationModal.Content>
-                                            <span>
-                                              Are you sure you want to delete
-                                              this key? This action cannot be
-                                              undone.
-                                            </span>
-                                          </ConfirmationModal.Content>
-                                          <ConfirmationModal.Trigger>
-                                            <IconComponent
-                                              name="Trash2"
-                                              className="ml-2 h-4 w-4 cursor-pointer"
-                                            />
-                                          </ConfirmationModal.Trigger>
-                                        </ConfirmationModal>
-                                      </div>
-                                    </TableCell>
-                                  </TableRow>
-                                )
-                              )}
-                            </TableBody>
-                          )}
-                        </Table>
-                      )}
-                  </div>
-
-                  <div className="flex items-center justify-between">
-                    <div>
-                      <SecretKeyModal
-                        title="Create new secret key"
-                        cancelText="Cancel"
-                        confirmationText="Create secret key"
-                        icon={"Key"}
-                        data={userId}
-                        onCloseModal={getKeys}
-                      >
-                        <Button>
-                          <IconComponent name="Plus" className="mr-1 h-5 w-5" />
-                          Create new secret key
-                        </Button>
-                      </SecretKeyModal>
-                    </div>
-                  </div>
-                </>
-              </div>
-            </div>
-          </div>
-        </div>
-      )}
-    </>
-  );
-}
diff --git a/src/frontend/src/pages/DeleteAccountPage/index.tsx b/src/frontend/src/pages/DeleteAccountPage/index.tsx
new file mode 100644
index 00000000000..c82cc1cc70a
--- /dev/null
+++ b/src/frontend/src/pages/DeleteAccountPage/index.tsx
@@ -0,0 +1,58 @@
+import { useState } from "react";
+import { Button } from "../../components/ui/button";
+import { Input } from "../../components/ui/input";
+import BaseModal from "../../modals/baseModal";
+
+export default function DeleteAccountPage() {
+  const [showConfirmation, setShowConfirmation] = useState(false);
+
+  const handleDeleteAccount = () => {
+    // Implement your account deletion logic here
+    // For example, make an API call to delete the account
+    // Upon successful deletion, you can redirect the user to another page
+    // Implement the logic to redirect the user after account deletion.
+    // For example, use react-router-dom's useHistory hook.
+  };
+
+  return (
+    <div className="flex h-full w-full flex-col items-center justify-center bg-muted">
+      <div className="flex w-72 flex-col items-center justify-center gap-2">
+        <span className="mb-4 text-5xl">⛓️</span>
+        <span className="mb-4 text-center text-2xl font-semibold text-primary">
+          Delete your account
+        </span>
+        <Input className="bg-background" placeholder="Confirm password" />
+
+        <BaseModal
+          open={showConfirmation}
+          setOpen={setShowConfirmation}
+          size="x-small"
+        >
+          <BaseModal.Header description="This action is irreversible and will permanently erase all your data and information associated with the account. ">
+            <h3>Are you sure ?</h3>
+          </BaseModal.Header>
+          <BaseModal.Trigger>
+            <Button
+              variant="default"
+              className="w-full hover:bg-status-red"
+              onClick={() => setShowConfirmation(true)}
+            >
+              Delete account
+            </Button>
+          </BaseModal.Trigger>
+          <BaseModal.Content>
+            <div className="flex h-full w-full flex-col justify-end">
+              <Button
+                variant="default"
+                className="w-full hover:bg-status-red"
+                onClick={() => handleDeleteAccount()}
+              >
+                Delete account
+              </Button>
+            </div>
+          </BaseModal.Content>
+        </BaseModal>
+      </div>
+    </div>
+  );
+}
diff --git a/src/frontend/src/pages/FlowPage/components/ConnectionLineComponent/index.tsx b/src/frontend/src/pages/FlowPage/components/ConnectionLineComponent/index.tsx
index 0c535e4f81a..bddf3d89aa5 100644
--- a/src/frontend/src/pages/FlowPage/components/ConnectionLineComponent/index.tsx
+++ b/src/frontend/src/pages/FlowPage/components/ConnectionLineComponent/index.tsx
@@ -13,7 +13,7 @@ const ConnectionLineComponent = ({
         fill="none"
         // ! Replace hash # colors here
         strokeWidth={1.5}
-        className="animated stroke-connection "
+        className="animated stroke-connection"
         d={`M${fromX},${fromY} C ${fromX} ${toY} ${fromX} ${toY} ${toX},${toY}`}
         style={connectionLineStyle}
       />
diff --git a/src/frontend/src/pages/FlowPage/components/DisclosureComponent/index.tsx b/src/frontend/src/pages/FlowPage/components/DisclosureComponent/index.tsx
index d2ff0eee8d6..145ffbb0813 100644
--- a/src/frontend/src/pages/FlowPage/components/DisclosureComponent/index.tsx
+++ b/src/frontend/src/pages/FlowPage/components/DisclosureComponent/index.tsx
@@ -4,16 +4,24 @@ import { DisclosureComponentType } from "../../../../types/components";
 
 export default function DisclosureComponent({
   button: { title, Icon, buttons = [] },
+  isChild = true,
   children,
-  openDisc,
+  defaultOpen,
 }: DisclosureComponentType): JSX.Element {
   return (
-    <Disclosure as="div" defaultOpen={openDisc} key={title}>
+    <Disclosure as="div" defaultOpen={defaultOpen} key={title}>
       {({ open }) => (
         <>
           <div>
-            <Disclosure.Button className="components-disclosure-arrangement">
-              <div className="flex gap-4">
+            <Disclosure.Button
+              className={
+                isChild
+                  ? "components-disclosure-arrangement-child"
+                  : "components-disclosure-arrangement"
+              }
+              data-testid={`disclosure-${title.toLocaleLowerCase()}`}
+            >
+              <div className={"flex gap-4" + (isChild ? " pl-2" : "")}>
                 {/* BUG ON THIS ICON */}
                 <Icon strokeWidth={1.5} size={22} className="text-primary" />
                 <span className="components-disclosure-title">{title}</span>
@@ -28,7 +36,7 @@ export default function DisclosureComponent({
                   <IconComponent
                     name="ChevronRight"
                     className={`${
-                      open || openDisc ? "rotate-90 transform" : ""
+                      open || defaultOpen ? "rotate-90 transform" : ""
                     } h-4 w-4 text-foreground`}
                   />
                 </div>
diff --git a/src/frontend/src/pages/FlowPage/components/PageComponent/index.tsx b/src/frontend/src/pages/FlowPage/components/PageComponent/index.tsx
index 4c592a3de2e..f302c70e3bd 100644
--- a/src/frontend/src/pages/FlowPage/components/PageComponent/index.tsx
+++ b/src/frontend/src/pages/FlowPage/components/PageComponent/index.tsx
@@ -1,5 +1,13 @@
-import _ from "lodash";
-import { MouseEvent, useCallback, useEffect, useRef, useState } from "react";
+import _, { cloneDeep } from "lodash";
+import {
+  KeyboardEvent,
+  MouseEvent,
+  useCallback,
+  useEffect,
+  useRef,
+  useState,
+} from "react";
+import { useHotkeys } from "react-hotkeys-hook";
 import ReactFlow, {
   Background,
   Connection,
@@ -12,25 +20,33 @@ import ReactFlow, {
   updateEdge,
 } from "reactflow";
 import GenericNode from "../../../../CustomNodes/GenericNode";
-import Chat from "../../../../components/chatComponent";
+import {
+  INVALID_SELECTION_ERROR_ALERT,
+  UPLOAD_ALERT_LIST,
+  UPLOAD_ERROR_ALERT,
+  WRONG_FILE_ERROR_ALERT,
+} from "../../../../constants/alerts_constants";
 import useAlertStore from "../../../../stores/alertStore";
 import useFlowStore from "../../../../stores/flowStore";
 import useFlowsManagerStore from "../../../../stores/flowsManagerStore";
+import { useShortcutsStore } from "../../../../stores/shortcuts";
 import { useTypesStore } from "../../../../stores/typesStore";
 import { APIClassType } from "../../../../types/api";
 import { FlowType, NodeType } from "../../../../types/flow";
 import {
+  checkOldComponents,
   generateFlow,
   generateNodeFromFlow,
   getNodeId,
   isValidConnection,
-  reconnectEdges,
+  scapeJSONParse,
+  updateIds,
   validateSelection,
 } from "../../../../utils/reactflowUtils";
-import { getRandomName, isWrappedWithClass } from "../../../../utils/utils";
 import ConnectionLineComponent from "../ConnectionLineComponent";
 import SelectionMenu from "../SelectionMenuComponent";
-import ExtraSidebar from "../extraSidebarComponent";
+import getRandomName from "./utils/get-random-name";
+import isWrappedWithClass from "./utils/is-wrapped-with-class";
 
 const nodeTypes = {
   genericNode: GenericNode,
@@ -45,18 +61,20 @@ export default function Page({
 }): JSX.Element {
   const uploadFlow = useFlowsManagerStore((state) => state.uploadFlow);
   const autoSaveCurrentFlow = useFlowsManagerStore(
-    (state) => state.autoSaveCurrentFlow
+    (state) => state.autoSaveCurrentFlow,
   );
   const types = useTypesStore((state) => state.types);
   const templates = useTypesStore((state) => state.templates);
   const setFilterEdge = useFlowStore((state) => state.setFilterEdge);
   const reactFlowWrapper = useRef<HTMLDivElement>(null);
+  const [showCanvas, setSHowCanvas] = useState(
+    Object.keys(templates).length > 0 && Object.keys(types).length > 0,
+  );
 
   const reactFlowInstance = useFlowStore((state) => state.reactFlowInstance);
   const setReactFlowInstance = useFlowStore(
-    (state) => state.setReactFlowInstance
+    (state) => state.setReactFlowInstance,
   );
-
   const nodes = useFlowStore((state) => state.nodes);
   const edges = useFlowStore((state) => state.edges);
   const onNodesChange = useFlowStore((state) => state.onNodesChange);
@@ -72,104 +90,80 @@ export default function Page({
   const paste = useFlowStore((state) => state.paste);
   const resetFlow = useFlowStore((state) => state.resetFlow);
   const lastCopiedSelection = useFlowStore(
-    (state) => state.lastCopiedSelection
+    (state) => state.lastCopiedSelection,
   );
   const setLastCopiedSelection = useFlowStore(
-    (state) => state.setLastCopiedSelection
+    (state) => state.setLastCopiedSelection,
   );
   const onConnect = useFlowStore((state) => state.onConnect);
+  const currentFlowId = useFlowsManagerStore((state) => state.currentFlowId);
+  const setErrorData = useAlertStore((state) => state.setErrorData);
+  const setNoticeData = useAlertStore((state) => state.setNoticeData);
+  const [selectionMenuVisible, setSelectionMenuVisible] = useState(false);
+  const edgeUpdateSuccessful = useRef(true);
 
   const position = useRef({ x: 0, y: 0 });
   const [lastSelection, setLastSelection] =
     useState<OnSelectionChangeParams | null>(null);
 
-  useEffect(() => {
-    const onKeyDown = (event: KeyboardEvent) => {
-      if (!isWrappedWithClass(event, "noundo")) {
-        if (
-          (event.key === "y" || (event.key === "z" && event.shiftKey)) &&
-          (event.ctrlKey || event.metaKey)
-        ) {
-          event.preventDefault(); // prevent the default action
-          redo();
-        } else if (event.key === "z" && (event.ctrlKey || event.metaKey)) {
-          event.preventDefault();
-          undo();
-        }
-      }
-      if (
-        !isWrappedWithClass(event, "nocopy") &&
-        window.getSelection()?.toString().length === 0
-      ) {
-        if (
-          (event.ctrlKey || event.metaKey) &&
-          event.key === "c" &&
-          lastSelection
-        ) {
-          event.preventDefault();
-          setLastCopiedSelection(_.cloneDeep(lastSelection));
-        } else if (
-          (event.ctrlKey || event.metaKey) &&
-          event.key === "x" &&
-          lastSelection
-        ) {
-          event.preventDefault();
-          setLastCopiedSelection(_.cloneDeep(lastSelection), true);
-        } else if (
-          (event.ctrlKey || event.metaKey) &&
-          event.key === "v" &&
-          lastCopiedSelection
-        ) {
-          event.preventDefault();
-          takeSnapshot();
-          paste(lastCopiedSelection, {
-            x: position.current.x,
-            y: position.current.y,
-          });
-        } else if (
-          (event.ctrlKey || event.metaKey) &&
-          event.key === "g" &&
-          lastSelection
-        ) {
-          event.preventDefault();
-        }
-      }
-      if (!isWrappedWithClass(event, "nodelete")) {
-        if (
-          (event.key === "Delete" || event.key === "Backspace") &&
-          lastSelection
-        ) {
-          event.preventDefault();
-          takeSnapshot();
-          deleteNode(lastSelection.nodes.map((node) => node.id));
-          deleteEdge(lastSelection.edges.map((edge) => edge.id));
-        }
-      }
-    };
+  function handleGroupNode() {
+    takeSnapshot();
+    if (validateSelection(lastSelection!, edges).length === 0) {
+      const clonedNodes = cloneDeep(nodes);
+      const clonedEdges = cloneDeep(edges);
+      const clonedSelection = cloneDeep(lastSelection);
+      updateIds({ nodes: clonedNodes, edges: clonedEdges }, clonedSelection!);
+      const { newFlow, removedEdges } = generateFlow(
+        clonedSelection!,
+        clonedNodes,
+        clonedEdges,
+        getRandomName(),
+      );
+      const newGroupNode = generateNodeFromFlow(newFlow, getNodeId);
+      // const newEdges = reconnectEdges(newGroupNode, removedEdges);
+      setNodes([
+        ...clonedNodes.filter(
+          (oldNodes) =>
+            !clonedSelection?.nodes.some(
+              (selectionNode) => selectionNode.id === oldNodes.id,
+            ),
+        ),
+        newGroupNode,
+      ]);
+      // setEdges([
+      //   ...clonedEdges.filter(
+      //     (oldEdge) =>
+      //       !clonedSelection!.nodes.some(
+      //         (selectionNode) =>
+      //           selectionNode.id === oldEdge.target ||
+      //           selectionNode.id === oldEdge.source,
+      //       ),
+      //   ),
+      //   ...newEdges,
+      // ]);
+    } else {
+      setErrorData({
+        title: INVALID_SELECTION_ERROR_ALERT,
+        list: validateSelection(lastSelection!, edges),
+      });
+    }
+  }
 
+  const setNode = useFlowStore((state) => state.setNode);
+  useEffect(() => {
     const handleMouseMove = (event) => {
       position.current = { x: event.clientX, y: event.clientY };
     };
 
-    document.addEventListener("keydown", onKeyDown);
     document.addEventListener("mousemove", handleMouseMove);
 
     return () => {
-      document.removeEventListener("keydown", onKeyDown);
       document.removeEventListener("mousemove", handleMouseMove);
     };
-  }, [lastCopiedSelection, lastSelection, takeSnapshot]);
-
-  const [selectionMenuVisible, setSelectionMenuVisible] = useState(false);
-
-  const setErrorData = useAlertStore((state) => state.setErrorData);
-
-  const edgeUpdateSuccessful = useRef(true);
-
-  const currentFlowId = useFlowsManagerStore((state) => state.currentFlowId);
+  }, [lastCopiedSelection, lastSelection, takeSnapshot, selectionMenuVisible]);
 
   useEffect(() => {
-    if (reactFlowInstance) {
+    if (reactFlowInstance && currentFlowId) {
       resetFlow({
         nodes: flow?.data?.nodes ?? [],
         edges: flow?.data?.edges ?? [],
@@ -178,18 +172,147 @@ export default function Page({
     }
   }, [currentFlowId, reactFlowInstance]);
 
+  useEffect(() => {
+    if (checkOldComponents({ nodes: flow?.data?.nodes ?? [] })) {
+      setNoticeData({
+        title:
+          "Components created before Langflow 1.0 may be unstable. Ensure components are up to date.",
+      });
+    }
+  }, []);
+
   useEffect(() => {
     return () => {
       cleanFlow();
     };
   }, []);
 
+  function handleUndo(e: KeyboardEvent) {
+    if (!isWrappedWithClass(e, "noundo")) {
+      e.preventDefault();
+      (e as unknown as Event).stopImmediatePropagation();
+      undo();
+    }
+  }
+
+  function handleRedo(e: KeyboardEvent) {
+    if (!isWrappedWithClass(e, "noundo")) {
+      e.preventDefault();
+      (e as unknown as Event).stopImmediatePropagation();
+      redo();
+    }
+  }
+
+  function handleGroup(e: KeyboardEvent) {
+    if (selectionMenuVisible) {
+      e.preventDefault();
+      (e as unknown as Event).stopImmediatePropagation();
+      handleGroupNode();
+    }
+  }
+
+  function handleDuplicate(e: KeyboardEvent) {
+    e.preventDefault();
+    e.stopPropagation();
+    (e as unknown as Event).stopImmediatePropagation();
+    const selectedNode = nodes.filter((obj) => obj.selected);
+    if (selectedNode.length > 0) {
+      paste(
+        { nodes: selectedNode, edges: [] },
+        {
+          x: position.current.x,
+          y: position.current.y,
+        },
+      );
+    }
+  }
+
+  function handleCopy(e: KeyboardEvent) {
+    if (!isWrappedWithClass(e, "nocopy")) {
+      e.preventDefault();
+      (e as unknown as Event).stopImmediatePropagation();
+      if (window.getSelection()?.toString().length === 0 && lastSelection) {
+        setLastCopiedSelection(_.cloneDeep(lastSelection));
+      }
+    }
+  }
+
+  function handleCut(e: KeyboardEvent) {
+    if (!isWrappedWithClass(e, "nocopy")) {
+      e.preventDefault();
+      (e as unknown as Event).stopImmediatePropagation();
+      if (window.getSelection()?.toString().length === 0 && lastSelection) {
+        setLastCopiedSelection(_.cloneDeep(lastSelection), true);
+      }
+    }
+  }
+
+  function handlePaste(e: KeyboardEvent) {
+    if (!isWrappedWithClass(e, "nocopy")) {
+      e.preventDefault();
+      (e as unknown as Event).stopImmediatePropagation();
+      if (
+        window.getSelection()?.toString().length === 0 &&
+        lastCopiedSelection
+      ) {
+        takeSnapshot();
+        paste(lastCopiedSelection, {
+          x: position.current.x,
+          y: position.current.y,
+        });
+      }
+    }
+  }
+
+  function handleDelete(e: KeyboardEvent) {
+    if (!isWrappedWithClass(e, "nodelete") && lastSelection) {
+      e.preventDefault();
+      (e as unknown as Event).stopImmediatePropagation();
+      takeSnapshot();
+      deleteNode(lastSelection.nodes.map((node) => node.id));
+      deleteEdge(lastSelection.edges.map((edge) => edge.id));
+    }
+  }
+
+  const undoAction = useShortcutsStore((state) => state.undo);
+  const redoAction = useShortcutsStore((state) => state.redo);
+  const copyAction = useShortcutsStore((state) => state.copy);
+  const duplicate = useShortcutsStore((state) => state.duplicate);
+  const deleteAction = useShortcutsStore((state) => state.delete);
+  const groupAction = useShortcutsStore((state) => state.group);
+  const cutAction = useShortcutsStore((state) => state.cut);
+  const pasteAction = useShortcutsStore((state) => state.paste);
+  //@ts-ignore
+  useHotkeys(undoAction, handleUndo);
+  //@ts-ignore
+  useHotkeys(redoAction, handleRedo);
+  //@ts-ignore
+  useHotkeys(groupAction, handleGroup);
+  //@ts-ignore
+  useHotkeys(duplicate, handleDuplicate);
+  //@ts-ignore
+  useHotkeys(copyAction, handleCopy);
+  //@ts-ignore
+  useHotkeys(cutAction, handleCut);
+  //@ts-ignore
+  useHotkeys(pasteAction, handlePaste);
+  //@ts-ignore
+  useHotkeys(deleteAction, handleDelete);
+  //@ts-ignore
+  useHotkeys("delete", handleDelete);
+
+  useEffect(() => {
+    setSHowCanvas(
+      Object.keys(templates).length > 0 && Object.keys(types).length > 0,
+    );
+  }, [templates, types]);
+
   const onConnectMod = useCallback(
     (params: Connection) => {
       takeSnapshot();
       onConnect(params);
     },
-    [takeSnapshot, onConnect]
+    [takeSnapshot, onConnect],
   );
 
   const onNodeDragStart: NodeDragHandler = useCallback(() => {
@@ -230,7 +353,7 @@ export default function Page({
 
         // Extract the data from the drag event and parse it as a JSON object
         const data: { type: string; node?: APIClassType } = JSON.parse(
-          event.dataTransfer.getData("nodedata")
+          event.dataTransfer.getData("nodedata"),
         );
 
         const newId = getNodeId(data.type);
@@ -246,7 +369,7 @@ export default function Page({
         };
         paste(
           { nodes: [newNode], edges: [] },
-          { x: event.clientX, y: event.clientY }
+          { x: event.clientX, y: event.clientY },
         );
       } else if (event.dataTransfer.types.some((types) => types === "Files")) {
         takeSnapshot();
@@ -262,20 +385,20 @@ export default function Page({
             position: position,
           }).catch((error) => {
             setErrorData({
-              title: "Error uploading file",
+              title: UPLOAD_ERROR_ALERT,
               list: [error],
             });
           });
         } else {
           setErrorData({
-            title: "Invalid file type",
-            list: ["Please upload a JSON file"],
+            title: WRONG_FILE_ERROR_ALERT,
+            list: [UPLOAD_ALERT_LIST],
           });
         }
       }
     },
     // Specify dependencies for useCallback
-    [getNodeId, setNodes, takeSnapshot, paste]
+    [getNodeId, setNodes, takeSnapshot, paste],
   );
 
   const onEdgeUpdateStart = useCallback(() => {
@@ -286,10 +409,12 @@ export default function Page({
     (oldEdge: Edge, newConnection: Connection) => {
       if (isValidConnection(newConnection, nodes, edges)) {
         edgeUpdateSuccessful.current = true;
+        oldEdge.data.targetHandle = scapeJSONParse(newConnection.targetHandle!);
+        oldEdge.data.sourceHandle = scapeJSONParse(newConnection.sourceHandle!);
         setEdges((els) => updateEdge(oldEdge, newConnection, els));
       }
     },
-    [setEdges]
+    [setEdges],
   );
 
   const onEdgeUpdateEnd = useCallback((_, edge: Edge): void => {
@@ -322,123 +447,80 @@ export default function Page({
     (flow: OnSelectionChangeParams): void => {
       setLastSelection(flow);
     },
-    []
+    [],
   );
 
   const onPaneClick = useCallback((flow) => {
     setFilterEdge([]);
   }, []);
 
+  function onMouseAction(edge: Edge, color: string): void {
+    const edges = useFlowStore.getState().edges;
+    const newEdges = _.cloneDeep(edges);
+    const style = { stroke: color, transition: "stroke 0.25s" };
+    const updatedEdges = newEdges.map((obj) => {
+      if (obj.id === edge.id) {
+        return { ...obj, style };
+      }
+      return obj;
+    });
+    setEdges(updatedEdges);
+  }
+
   return (
-    <div className="flex h-full overflow-hidden">
-      {!view && <ExtraSidebar />}
-      {/* Main area */}
-      <main className="flex flex-1">
-        {/* Primary column */}
-        <div className="h-full w-full">
-          <div className="h-full w-full" ref={reactFlowWrapper}>
-            {Object.keys(templates).length > 0 &&
-            Object.keys(types).length > 0 ? (
-              <div id="react-flow-id" className="h-full w-full">
-                <ReactFlow
-                  nodes={nodes}
-                  edges={edges}
-                  onNodesChange={onNodesChange}
-                  onEdgesChange={onEdgesChange}
-                  onConnect={onConnectMod}
-                  disableKeyboardA11y={true}
-                  onInit={setReactFlowInstance}
-                  nodeTypes={nodeTypes}
-                  onEdgeUpdate={onEdgeUpdate}
-                  onEdgeUpdateStart={onEdgeUpdateStart}
-                  onEdgeUpdateEnd={onEdgeUpdateEnd}
-                  onNodeDragStart={onNodeDragStart}
-                  onNodeDragStop={onNodeDragStop}
-                  onSelectionDragStart={onSelectionDragStart}
-                  onSelectionEnd={onSelectionEnd}
-                  onSelectionStart={onSelectionStart}
-                  connectionLineComponent={ConnectionLineComponent}
-                  onDragOver={onDragOver}
-                  onMoveEnd={onMoveEnd}
-                  onDrop={onDrop}
-                  onSelectionChange={onSelectionChange}
-                  deleteKeyCode={[]}
-                  className="theme-attribution"
-                  minZoom={0.01}
-                  maxZoom={8}
-                  zoomOnScroll={!view}
-                  zoomOnPinch={!view}
-                  panOnDrag={!view}
-                  proOptions={{ hideAttribution: true }}
-                  onPaneClick={onPaneClick}
-                >
-                  <Background className="" />
-                  {!view && (
-                    <Controls
-                      className="bg-muted fill-foreground stroke-foreground text-primary
-                   [&>button]:border-b-border hover:[&>button]:bg-border"
-                    ></Controls>
-                  )}
-                  <SelectionMenu
-                    isVisible={selectionMenuVisible}
-                    nodes={lastSelection?.nodes}
-                    onClick={() => {
-                      takeSnapshot();
-                      if (
-                        validateSelection(lastSelection!, edges).length === 0
-                      ) {
-                        const { newFlow, removedEdges } = generateFlow(
-                          lastSelection!,
-                          nodes,
-                          edges,
-                          getRandomName()
-                        );
-                        const newGroupNode = generateNodeFromFlow(
-                          newFlow,
-                          getNodeId
-                        );
-                        const newEdges = reconnectEdges(
-                          newGroupNode,
-                          removedEdges
-                        );
-                        setNodes((oldNodes) => [
-                          ...oldNodes.filter(
-                            (oldNodes) =>
-                              !lastSelection?.nodes.some(
-                                (selectionNode) =>
-                                  selectionNode.id === oldNodes.id
-                              )
-                          ),
-                          newGroupNode,
-                        ]);
-                        setEdges((oldEdges) => [
-                          ...oldEdges.filter(
-                            (oldEdge) =>
-                              !lastSelection!.nodes.some(
-                                (selectionNode) =>
-                                  selectionNode.id === oldEdge.target ||
-                                  selectionNode.id === oldEdge.source
-                              )
-                          ),
-                          ...newEdges,
-                        ]);
-                      } else {
-                        setErrorData({
-                          title: "Invalid selection",
-                          list: validateSelection(lastSelection!, edges),
-                        });
-                      }
-                    }}
-                  />
-                </ReactFlow>
-                {!view && <Chat flow={flow} />}
-              </div>
-            ) : (
-              <></>
+    <div className="h-full w-full" ref={reactFlowWrapper}>
+      {showCanvas ? (
+        <div id="react-flow-id" className="h-full w-full">
+          <ReactFlow
+            nodes={nodes}
+            edges={edges}
+            onNodesChange={onNodesChange}
+            onEdgesChange={onEdgesChange}
+            onConnect={onConnectMod}
+            disableKeyboardA11y={true}
+            onInit={setReactFlowInstance}
+            nodeTypes={nodeTypes}
+            onEdgeUpdate={onEdgeUpdate}
+            onEdgeUpdateStart={onEdgeUpdateStart}
+            onEdgeUpdateEnd={onEdgeUpdateEnd}
+            onNodeDragStart={onNodeDragStart}
+            onNodeDragStop={onNodeDragStop}
+            onSelectionDragStart={onSelectionDragStart}
+            onSelectionEnd={onSelectionEnd}
+            onSelectionStart={onSelectionStart}
+            connectionLineComponent={ConnectionLineComponent}
+            onDragOver={onDragOver}
+            onMoveEnd={onMoveEnd}
+            onDrop={onDrop}
+            onSelectionChange={onSelectionChange}
+            deleteKeyCode={[]}
+            className="theme-attribution"
+            minZoom={0.01}
+            maxZoom={8}
+            zoomOnScroll={!view}
+            zoomOnPinch={!view}
+            panOnDrag={!view}
+            panActivationKeyCode={""}
+            proOptions={{ hideAttribution: true }}
+            onPaneClick={onPaneClick}
+          >
+            <Background className="" />
+            {!view && (
+              <Controls className="fill-foreground stroke-foreground text-primary [&>button]:border-b-border [&>button]:bg-muted hover:[&>button]:bg-border"></Controls>
             )}
-          </div>
+            <SelectionMenu
+              lastSelection={lastSelection}
+              isVisible={selectionMenuVisible}
+              nodes={lastSelection?.nodes}
+              onClick={() => {
+                handleGroupNode();
+              }}
+            />
+          </ReactFlow>
         </div>
-      </main>
+      ) : (
+        <></>
+      )}
     </div>
   );
 }
diff --git a/src/frontend/src/pages/FlowPage/components/PageComponent/utils/get-random-name.tsx b/src/frontend/src/pages/FlowPage/components/PageComponent/utils/get-random-name.tsx
new file mode 100644
index 00000000000..d3bcf4d5572
--- /dev/null
+++ b/src/frontend/src/pages/FlowPage/components/PageComponent/utils/get-random-name.tsx
@@ -0,0 +1,35 @@
+import { ADJECTIVES, NOUNS } from "../../../../../flow_constants";
+import { getRandomElement } from "../../../../../utils/reactflowUtils";
+import { toTitleCase } from "../../../../../utils/utils";
+
+export default function getRandomName(
+  retry: number = 0,
+  noSpace: boolean = false,
+  maxRetries: number = 3,
+): string {
+  const left: string[] = ADJECTIVES;
+  const right: string[] = NOUNS;
+
+  const lv = getRandomElement(left);
+  const rv = getRandomElement(right);
+
+  // Condition to avoid "boring wozniak"
+  if (lv === "boring" && rv === "wozniak") {
+    if (retry < maxRetries) {
+      return getRandomName(retry + 1, noSpace, maxRetries);
+    } else {
+      console.warn("Max retries reached, returning as is");
+    }
+  }
+
+  // Append a suffix if retrying and noSpace is true
+  if (retry > 0 && noSpace) {
+    const retrySuffix = Math.floor(Math.random() * 10);
+    return `${lv}_${rv}${retrySuffix}`;
+  }
+
+  // Construct the final name
+  let final_name = noSpace ? `${lv}_${rv}` : `${lv} ${rv}`;
+  // Return title case final name
+  return toTitleCase(final_name);
+}
diff --git a/src/frontend/src/pages/FlowPage/components/PageComponent/utils/is-wrapped-with-class.tsx b/src/frontend/src/pages/FlowPage/components/PageComponent/utils/is-wrapped-with-class.tsx
new file mode 100644
index 00000000000..eff34d33070
--- /dev/null
+++ b/src/frontend/src/pages/FlowPage/components/PageComponent/utils/is-wrapped-with-class.tsx
@@ -0,0 +1,4 @@
+const isWrappedWithClass = (event: any, className: string | undefined) =>
+  event.target.closest(`.${className}`);
+
+export default isWrappedWithClass;
diff --git a/src/frontend/src/pages/FlowPage/components/ParentDisclosureComponent/index.tsx b/src/frontend/src/pages/FlowPage/components/ParentDisclosureComponent/index.tsx
new file mode 100644
index 00000000000..936269e45e8
--- /dev/null
+++ b/src/frontend/src/pages/FlowPage/components/ParentDisclosureComponent/index.tsx
@@ -0,0 +1,50 @@
+import { Disclosure } from "@headlessui/react";
+import IconComponent from "../../../../components/genericIconComponent";
+import { DisclosureComponentType } from "../../../../types/components";
+
+export default function ParentDisclosureComponent({
+  button: { title, Icon, buttons = [] },
+  children,
+  defaultOpen,
+  testId,
+}: DisclosureComponentType): JSX.Element {
+  return (
+    <Disclosure as="div" defaultOpen={defaultOpen} key={title}>
+      {({ open }) => (
+        <>
+          <div>
+            <Disclosure.Button
+              className="parent-disclosure-arrangement"
+              data-testid={testId}
+            >
+              <div className="flex items-baseline gap-1 align-baseline">
+                <span className="parent-disclosure-title">{title}</span>
+                {title === "Experimental" && (
+                  <div className="h-fit rounded-full bg-beta-background px-2 py-1 text-xs/3 font-semibold text-beta-foreground-soft">
+                    BETA
+                  </div>
+                )}
+              </div>
+              <div className="components-disclosure-div">
+                {buttons.map((btn, index) => (
+                  <button key={index} onClick={btn.onClick}>
+                    {btn.Icon}
+                  </button>
+                ))}
+                <div>
+                  <IconComponent
+                    name="ChevronsUpDownIcon"
+                    className={`${
+                      open || defaultOpen ? "" : ""
+                    } h-4 w-4 text-foreground`}
+                  />
+                </div>
+              </div>
+            </Disclosure.Button>
+          </div>
+          <Disclosure.Panel as="div">{children}</Disclosure.Panel>
+        </>
+      )}
+    </Disclosure>
+  );
+}
diff --git a/src/frontend/src/pages/FlowPage/components/SelectionMenuComponent/index.tsx b/src/frontend/src/pages/FlowPage/components/SelectionMenuComponent/index.tsx
index 2c3804ca83f..912a03e18d4 100644
--- a/src/frontend/src/pages/FlowPage/components/SelectionMenuComponent/index.tsx
+++ b/src/frontend/src/pages/FlowPage/components/SelectionMenuComponent/index.tsx
@@ -1,11 +1,36 @@
 import { useEffect, useState } from "react";
+import { useHotkeys } from "react-hotkeys-hook";
 import { NodeToolbar } from "reactflow";
+import { Button } from "../../../../components/ui/button";
 import { GradientGroup } from "../../../../icons/GradientSparkles";
-export default function SelectionMenu({ onClick, nodes, isVisible }) {
+import useFlowStore from "../../../../stores/flowStore";
+import { validateSelection } from "../../../../utils/reactflowUtils";
+export default function SelectionMenu({
+  onClick,
+  nodes,
+  isVisible,
+  lastSelection,
+}) {
+  const edges = useFlowStore((state) => state.edges);
+  const unselectAll = useFlowStore((state) => state.unselectAll);
+  const [disable, setDisable] = useState<boolean>(
+    lastSelection && edges.length > 0
+      ? validateSelection(lastSelection!, edges).length > 0
+      : false,
+  );
   const [isOpen, setIsOpen] = useState(false);
   const [isTransitioning, setIsTransitioning] = useState(false);
   const [lastNodes, setLastNodes] = useState(nodes);
 
+  useHotkeys("esc", unselectAll, { preventDefault: true });
+
+  useEffect(() => {
+    if (isOpen) {
+      return setDisable(validateSelection(lastSelection!, edges).length > 0);
+    }
+    setDisable(false);
+  }, [isOpen, setIsOpen]);
+
   // nodes get saved to not be gone after the toolbar closes
   useEffect(() => {
     setLastNodes(nodes);
@@ -38,20 +63,27 @@ export default function SelectionMenu({ onClick, nodes, isVisible }) {
         <div
           className={
             "duration-400 h-10 w-24 rounded-md border border-indigo-300 bg-background px-2.5 text-primary shadow-inner transition-all ease-in-out" +
-            (isTransitioning ? " opacity-100" : " opacity-0 ")
+            (isTransitioning ? " opacity-100" : " opacity-0")
           }
         >
-          <button
-            className="flex h-full w-full items-center justify-between text-sm hover:text-indigo-500"
+          <Button
+            unstyled
+            className={`${
+              disable
+                ? "flex h-full w-full cursor-not-allowed items-center justify-between text-sm text-muted-foreground"
+                : "flex h-full w-full items-center justify-between text-sm"
+            }`}
             onClick={onClick}
+            disabled={disable}
           >
             <GradientGroup
               strokeWidth={1.5}
               size={22}
               className="text-primary"
+              disabled={disable}
             />
             Group
-          </button>
+          </Button>
         </div>
       </div>
     </NodeToolbar>
diff --git a/src/frontend/src/pages/FlowPage/components/extraSidebarComponent/index.tsx b/src/frontend/src/pages/FlowPage/components/extraSidebarComponent/index.tsx
index f9e904581fb..35166b160cd 100644
--- a/src/frontend/src/pages/FlowPage/components/extraSidebarComponent/index.tsx
+++ b/src/frontend/src/pages/FlowPage/components/extraSidebarComponent/index.tsx
@@ -1,10 +1,11 @@
 import { cloneDeep } from "lodash";
+import { LinkIcon, SparklesIcon } from "lucide-react";
 import { useEffect, useMemo, useState } from "react";
-import ShadTooltip from "../../../../components/ShadTooltipComponent";
 import IconComponent from "../../../../components/genericIconComponent";
+import ShadTooltip from "../../../../components/shadTooltipComponent";
 import { Input } from "../../../../components/ui/input";
 import { Separator } from "../../../../components/ui/separator";
-import ApiModal from "../../../../modals/ApiModal";
+import { PRIORITY_SIDEBAR_ORDER } from "../../../../constants/constants";
 import ExportModal from "../../../../modals/exportModal";
 import ShareModal from "../../../../modals/shareModal";
 import useAlertStore from "../../../../stores/alertStore";
@@ -18,32 +19,29 @@ import {
   nodeIconsLucide,
   nodeNames,
 } from "../../../../utils/styleUtils";
-import {
-  classNames,
-  removeCountFromString,
-  sensitiveSort,
-} from "../../../../utils/utils";
+import { classNames, removeCountFromString } from "../../../../utils/utils";
 import DisclosureComponent from "../DisclosureComponent";
+import ParentDisclosureComponent from "../ParentDisclosureComponent";
 import SidebarDraggableComponent from "./sideBarDraggableComponent";
+import { sortKeys } from "./utils";
+import sensitiveSort from "./utils/sensitive-sort";
 
 export default function ExtraSidebar(): JSX.Element {
   const data = useTypesStore((state) => state.data);
   const templates = useTypesStore((state) => state.templates);
   const getFilterEdge = useFlowStore((state) => state.getFilterEdge);
   const setFilterEdge = useFlowStore((state) => state.setFilterEdge);
-  const uploadFlow = useFlowsManagerStore((state) => state.uploadFlow);
   const currentFlow = useFlowsManagerStore((state) => state.currentFlow);
   const hasStore = useStoreStore((state) => state.hasStore);
   const hasApiKey = useStoreStore((state) => state.hasApiKey);
   const validApiKey = useStoreStore((state) => state.validApiKey);
 
-  const isBuilt = useFlowStore((state) => state.isBuilt);
   const setErrorData = useAlertStore((state) => state.setErrorData);
   const [dataFilter, setFilterData] = useState(data);
   const [search, setSearch] = useState("");
   function onDragStart(
     event: React.DragEvent<any>,
-    data: { type: string; node?: APIClassType }
+    data: { type: string; node?: APIClassType },
   ): void {
     //start drag event
     var crt = event.currentTarget.cloneNode(true);
@@ -69,7 +67,7 @@ export default function ExtraSidebar(): JSX.Element {
         let keys = Object.keys(data[d]).filter(
           (nd) =>
             nd.toLowerCase().includes(e.toLowerCase()) ||
-            data[d][nd].display_name?.toLowerCase().includes(e.toLowerCase())
+            data[d][nd].display_name?.toLowerCase().includes(e.toLowerCase()),
         );
         keys.forEach((element) => {
           ret[d][element] = data[d][element];
@@ -136,7 +134,7 @@ export default function ExtraSidebar(): JSX.Element {
 
             if (filtered.some((x) => x !== "")) {
               let keys = Object.keys(dataClone[d]).filter((nd) =>
-                filtered.includes(nd)
+                filtered.includes(nd),
               );
               Object.keys(dataClone[d]).forEach((element) => {
                 if (!keys.includes(element)) {
@@ -173,7 +171,7 @@ export default function ExtraSidebar(): JSX.Element {
 
             if (filtered.some((x) => x !== "")) {
               let keys = Object.keys(dataClone[d]).filter((nd) =>
-                filtered.includes(nd)
+                filtered.includes(nd),
               );
               Object.keys(dataClone[d]).forEach((element) => {
                 if (!keys.includes(element)) {
@@ -201,8 +199,8 @@ export default function ExtraSidebar(): JSX.Element {
           className={classNames(
             "extra-side-bar-buttons gap-[4px] text-sm font-semibold",
             !hasApiKey || !validApiKey || !hasStore
-              ? "button-disable  cursor-default text-muted-foreground"
-              : ""
+              ? "button-disable cursor-default text-muted-foreground"
+              : "",
           )}
         >
           <IconComponent
@@ -211,14 +209,14 @@ export default function ExtraSidebar(): JSX.Element {
               "-m-0.5 -ml-1 h-6 w-6",
               !hasApiKey || !validApiKey || !hasStore
                 ? "extra-side-bar-save-disable"
-                : ""
+                : "",
             )}
           />
           Share
         </button>
       </ShareModal>
     ),
-    [hasApiKey, validApiKey, currentFlow, hasStore]
+    [hasApiKey, validApiKey, currentFlow, hasStore],
   );
 
   const ExportMemo = useMemo(
@@ -229,76 +227,25 @@ export default function ExtraSidebar(): JSX.Element {
         </button>
       </ExportModal>
     ),
-    []
+    [],
   );
 
+  const getIcon = useMemo(() => {
+    return (SBSectionName: string) => {
+      if (nodeIconsLucide[SBSectionName]) {
+        return (
+          <IconComponent
+            name={SBSectionName}
+            strokeWidth={1.5}
+            className="w-[22px] text-primary"
+          />
+        );
+      }
+    };
+  }, []);
+
   return (
     <div className="side-bar-arrangement">
-      <div className="side-bar-buttons-arrangement">
-        {hasStore && validApiKey && (
-          <ShadTooltip
-            content={
-              !hasApiKey || !validApiKey
-                ? "Please review your API key."
-                : "Share"
-            }
-            side="top"
-            styleClasses="cursor-default"
-          >
-            <div className="side-bar-button">{ModalMemo}</div>
-          </ShadTooltip>
-        )}
-        <div className="side-bar-button">
-          <ShadTooltip content="Import" side="top">
-            <button
-              className="extra-side-bar-buttons"
-              onClick={() => {
-                uploadFlow({ newProject: false, isComponent: false }).catch(
-                  (error) => {
-                    setErrorData({
-                      title: "Error uploading file",
-                      list: [error],
-                    });
-                  }
-                );
-              }}
-            >
-              <IconComponent name="FileUp" className="side-bar-button-size " />
-            </button>
-          </ShadTooltip>
-        </div>
-        {(!hasApiKey || !validApiKey) && (
-          <ShadTooltip
-            content="Export"
-            side="top"
-            styleClasses="cursor-default"
-          >
-            <div className="side-bar-button">{ExportMemo}</div>
-          </ShadTooltip>
-        )}
-        <ShadTooltip content={"Code"} side="top">
-          <div className="side-bar-button">
-            {currentFlow && currentFlow.data && (
-              <ApiModal flow={currentFlow}>
-                <button
-                  className={"w-full " + (!isBuilt ? "button-disable" : "")}
-                >
-                  <div className={classNames("extra-side-bar-buttons")}>
-                    <IconComponent
-                      name="Code2"
-                      className={
-                        "side-bar-button-size" +
-                        (isBuilt ? " " : " extra-side-bar-save-disable")
-                      }
-                    />
-                  </div>
-                </button>
-              </ApiModal>
-            )}
-          </div>
-        </ShadTooltip>
-      </div>
-      <Separator />
       <div className="side-bar-search-div-placement">
         <Input
           onFocusCapture={() => handleBlur()}
@@ -313,95 +260,222 @@ export default function ExtraSidebar(): JSX.Element {
             // Set search input state
             setSearch(event.target.value);
           }}
+          autocomplete="off"
+          readonly="readonly"
+          onClick={() =>
+            document.getElementById("search").removeAttribute("readonly")
+          }
         />
-        <div className="search-icon">
+        <div
+          className="search-icon"
+          onClick={() => {
+            if (search) {
+              setFilterData(data);
+              setSearch("");
+            }
+          }}
+        >
           <IconComponent
-            name="Search"
-            className={"h-5 w-5 stroke-[1.5] text-primary"}
+            name={search ? "X" : "Search"}
+            className={`h-5 w-5 stroke-[1.5] text-primary ${
+              search ? "cursor-pointer" : "cursor-default"
+            }`}
             aria-hidden="true"
           />
         </div>
       </div>
-
+      <Separator />
       <div className="side-bar-components-div-arrangement">
+        <div className="parent-disclosure-arrangement">
+          <div className="flex items-center gap-4 align-middle">
+            <span className="parent-disclosure-title">Components</span>
+          </div>
+        </div>
         {Object.keys(dataFilter)
-          .sort((a, b) => {
-            if (a.toLowerCase() === "saved_components") {
-              return -1;
-            } else if (b.toLowerCase() === "saved_components") {
-              return 1;
-            } else if (a.toLowerCase() === "custom_components") {
-              return -2;
-            } else if (b.toLowerCase() === "custom_components") {
-              return 2;
-            } else {
-              return a.localeCompare(b);
-            }
-          })
+          .sort(sortKeys)
+          .filter((x) => PRIORITY_SIDEBAR_ORDER.includes(x))
           .map((SBSectionName: keyof APIObjectType, index) =>
             Object.keys(dataFilter[SBSectionName]).length > 0 ? (
-              <DisclosureComponent
-                openDisc={
-                  getFilterEdge.length !== 0 || search.length !== 0
-                    ? true
-                    : false
-                }
-                key={index + search + JSON.stringify(getFilterEdge)}
-                button={{
-                  title: nodeNames[SBSectionName] ?? nodeNames.unknown,
-                  Icon:
-                    nodeIconsLucide[SBSectionName] ?? nodeIconsLucide.unknown,
-                }}
-              >
-                <div className="side-bar-components-gap">
-                  {Object.keys(dataFilter[SBSectionName])
-                    .sort((a, b) =>
-                      sensitiveSort(
-                        dataFilter[SBSectionName][a].display_name,
-                        dataFilter[SBSectionName][b].display_name
+              <>
+                <DisclosureComponent
+                  defaultOpen={
+                    getFilterEdge.length !== 0 || search.length !== 0
+                      ? true
+                      : false
+                  }
+                  isChild={false}
+                  key={index + search + JSON.stringify(getFilterEdge)}
+                  button={{
+                    title: nodeNames[SBSectionName] ?? nodeNames.unknown,
+                    Icon:
+                      nodeIconsLucide[SBSectionName] ?? nodeIconsLucide.unknown,
+                  }}
+                >
+                  <div className="side-bar-components-gap">
+                    {Object.keys(dataFilter[SBSectionName])
+                      .sort((a, b) =>
+                        sensitiveSort(
+                          dataFilter[SBSectionName][a].display_name,
+                          dataFilter[SBSectionName][b].display_name,
+                        ),
                       )
-                    )
-                    .map((SBItemName: string, index) => (
-                      <ShadTooltip
-                        content={
-                          dataFilter[SBSectionName][SBItemName].display_name
-                        }
-                        side="right"
-                        key={index}
-                      >
-                        <SidebarDraggableComponent
-                          sectionName={SBSectionName as string}
-                          apiClass={dataFilter[SBSectionName][SBItemName]}
-                          key={index}
-                          onDragStart={(event) =>
-                            onDragStart(event, {
-                              //split type to remove type in nodes saved with same name removing it's
-                              type: removeCountFromString(SBItemName),
-                              node: dataFilter[SBSectionName][SBItemName],
-                            })
-                          }
-                          color={nodeColors[SBSectionName]}
-                          itemName={SBItemName}
-                          //convert error to boolean
-                          error={!!dataFilter[SBSectionName][SBItemName].error}
-                          display_name={
+                      .map((SBItemName: string, index) => (
+                        <ShadTooltip
+                          content={
                             dataFilter[SBSectionName][SBItemName].display_name
                           }
-                          official={
-                            dataFilter[SBSectionName][SBItemName].official ===
-                            false
-                              ? false
-                              : true
-                          }
-                        />
-                      </ShadTooltip>
-                    ))}
-                </div>
-              </DisclosureComponent>
+                          side="right"
+                          key={index}
+                        >
+                          <SidebarDraggableComponent
+                            sectionName={SBSectionName as string}
+                            apiClass={dataFilter[SBSectionName][SBItemName]}
+                            key={index + SBItemName}
+                            onDragStart={(event) =>
+                              onDragStart(event, {
+                                //split type to remove type in nodes saved with same name removing it's
+                                type: removeCountFromString(SBItemName),
+                                node: dataFilter[SBSectionName][SBItemName],
+                              })
+                            }
+                            color={nodeColors[SBSectionName]}
+                            itemName={SBItemName}
+                            //convert error to boolean
+                            error={
+                              !!dataFilter[SBSectionName][SBItemName].error
+                            }
+                            display_name={
+                              dataFilter[SBSectionName][SBItemName].display_name
+                            }
+                            official={
+                              dataFilter[SBSectionName][SBItemName].official ===
+                              false
+                                ? false
+                                : true
+                            }
+                          />
+                        </ShadTooltip>
+                      ))}
+                  </div>
+                </DisclosureComponent>
+              </>
             ) : (
               <div key={index}></div>
-            )
-          )}
+            ),
+          )}{" "}
+        <ParentDisclosureComponent
+          defaultOpen={search.length !== 0 || getFilterEdge.length !== 0}
+          key={`${search.length !== 0}-${getFilterEdge.length !== 0}-Advanced`}
+          button={{
+            title: "Experimental",
+            Icon: nodeIconsLucide.unknown,
+          }}
+          testId="extended-disclosure"
+        >
+          {Object.keys(dataFilter)
+            .sort(sortKeys)
+            .filter((x) => !PRIORITY_SIDEBAR_ORDER.includes(x))
+            .map((SBSectionName: keyof APIObjectType, index) =>
+              Object.keys(dataFilter[SBSectionName]).length > 0 ? (
+                <>
+                  <DisclosureComponent
+                    isChild={false}
+                    defaultOpen={
+                      getFilterEdge.length !== 0 || search.length !== 0
+                        ? true
+                        : false
+                    }
+                    key={index + search + JSON.stringify(getFilterEdge)}
+                    button={{
+                      title: nodeNames[SBSectionName] ?? nodeNames.unknown,
+                      Icon:
+                        nodeIconsLucide[SBSectionName] ??
+                        nodeIconsLucide.unknown,
+                    }}
+                  >
+                    <div className="side-bar-components-gap">
+                      {Object.keys(dataFilter[SBSectionName])
+                        .sort((a, b) =>
+                          sensitiveSort(
+                            dataFilter[SBSectionName][a].display_name,
+                            dataFilter[SBSectionName][b].display_name,
+                          ),
+                        )
+                        .map((SBItemName: string, index) => (
+                          <ShadTooltip
+                            content={
+                              dataFilter[SBSectionName][SBItemName].display_name
+                            }
+                            side="right"
+                            key={index}
+                          >
+                            <SidebarDraggableComponent
+                              sectionName={SBSectionName as string}
+                              apiClass={dataFilter[SBSectionName][SBItemName]}
+                              key={index}
+                              onDragStart={(event) =>
+                                onDragStart(event, {
+                                  //split type to remove type in nodes saved with same name removing it's
+                                  type: removeCountFromString(SBItemName),
+                                  node: dataFilter[SBSectionName][SBItemName],
+                                })
+                              }
+                              color={nodeColors[SBSectionName]}
+                              itemName={SBItemName}
+                              //convert error to boolean
+                              error={
+                                !!dataFilter[SBSectionName][SBItemName].error
+                              }
+                              display_name={
+                                dataFilter[SBSectionName][SBItemName]
+                                  .display_name
+                              }
+                              official={
+                                dataFilter[SBSectionName][SBItemName]
+                                  .official === false
+                                  ? false
+                                  : true
+                              }
+                            />
+                          </ShadTooltip>
+                        ))}
+                    </div>
+                  </DisclosureComponent>
+                  {index ===
+                    Object.keys(dataFilter).length -
+                      PRIORITY_SIDEBAR_ORDER.length +
+                      1 && (
+                    <>
+                      <a
+                        target={"_blank"}
+                        href="https://langflow.store"
+                        className="components-disclosure-arrangement"
+                      >
+                        <div className="flex gap-4">
+                          {/* BUG ON THIS ICON */}
+                          <SparklesIcon
+                            strokeWidth={1.5}
+                            className="w-[22px] text-primary"
+                          />
+
+                          <span className="components-disclosure-title">
+                            Discover More
+                          </span>
+                        </div>
+                        <div className="components-disclosure-div">
+                          <div>
+                            <LinkIcon className="h-4 w-4 text-foreground" />
+                          </div>
+                        </div>
+                      </a>
+                    </>
+                  )}
+                </>
+              ) : (
+                <div key={index}></div>
+              ),
+            )}
+        </ParentDisclosureComponent>
       </div>
     </div>
   );
diff --git a/src/frontend/src/pages/FlowPage/components/extraSidebarComponent/sideBarDraggableComponent/index.tsx b/src/frontend/src/pages/FlowPage/components/extraSidebarComponent/sideBarDraggableComponent/index.tsx
index f33e97a1dac..ed92defb984 100644
--- a/src/frontend/src/pages/FlowPage/components/extraSidebarComponent/sideBarDraggableComponent/index.tsx
+++ b/src/frontend/src/pages/FlowPage/components/extraSidebarComponent/sideBarDraggableComponent/index.tsx
@@ -37,12 +37,13 @@ export const SidebarDraggableComponent = forwardRef(
       onDragStart: DragEventHandler<HTMLDivElement>;
       official: boolean;
     },
-    ref
+    ref,
   ) => {
     const [open, setOpen] = useState(false);
     const deleteComponent = useFlowsManagerStore(
-      (state) => state.deleteComponent
+      (state) => state.deleteComponent,
     );
+
     const version = useDarkStore((state) => state.version);
     const [cursorPos, setCursorPos] = useState({ x: 0, y: 0 });
     const popoverRef = useRef<HTMLDivElement>(null);
@@ -66,8 +67,8 @@ export const SidebarDraggableComponent = forwardRef(
           downloadNode(
             createFlowComponent(
               { id: getNodeId(type), type, node: apiClass },
-              version
-            )
+              version,
+            ),
           );
           break;
         case "delete":
@@ -103,7 +104,7 @@ export const SidebarDraggableComponent = forwardRef(
             onDragStart={onDragStart}
             onDragEnd={() => {
               document.body.removeChild(
-                document.getElementsByClassName("cursor-grabbing")[0]
+                document.getElementsByClassName("cursor-grabbing")[0],
               );
             }}
           >
@@ -116,7 +117,7 @@ export const SidebarDraggableComponent = forwardRef(
               <div ref={popoverRef}>
                 <IconComponent
                   name="Menu"
-                  className="side-bar-components-icon "
+                  className="side-bar-components-icon"
                 />
                 <SelectTrigger></SelectTrigger>
                 <SelectContent
@@ -156,7 +157,7 @@ export const SidebarDraggableComponent = forwardRef(
         </div>
       </Select>
     );
-  }
+  },
 );
 
 export default SidebarDraggableComponent;
diff --git a/src/frontend/src/pages/FlowPage/components/extraSidebarComponent/utils.tsx b/src/frontend/src/pages/FlowPage/components/extraSidebarComponent/utils.tsx
new file mode 100644
index 00000000000..ee0509cd0af
--- /dev/null
+++ b/src/frontend/src/pages/FlowPage/components/extraSidebarComponent/utils.tsx
@@ -0,0 +1,26 @@
+import { PRIORITY_SIDEBAR_ORDER } from "../../../../constants/constants";
+
+export function sortKeys(a: string, b: string) {
+  // Define the order of specific keys
+
+  const indexA = PRIORITY_SIDEBAR_ORDER.indexOf(a.toLowerCase());
+  const indexB = PRIORITY_SIDEBAR_ORDER.indexOf(b.toLowerCase());
+
+  // Check if both keys are in the predefined order
+  if (indexA !== -1 && indexB !== -1) {
+    return indexA - indexB;
+  }
+
+  // If only 'a' is in the predefined order, it should come first
+  if (indexA !== -1) {
+    return -1;
+  }
+
+  // If only 'b' is in the predefined order, it should come first
+  if (indexB !== -1) {
+    return 1;
+  }
+
+  // If neither 'a' nor 'b' are in the predefined order, sort them alphabetically
+  return a.localeCompare(b);
+}
diff --git a/src/frontend/src/pages/FlowPage/components/extraSidebarComponent/utils/sensitive-sort.tsx b/src/frontend/src/pages/FlowPage/components/extraSidebarComponent/utils/sensitive-sort.tsx
new file mode 100644
index 00000000000..97c6fe1bb41
--- /dev/null
+++ b/src/frontend/src/pages/FlowPage/components/extraSidebarComponent/utils/sensitive-sort.tsx
@@ -0,0 +1,24 @@
+export default function sensitiveSort(a: string, b: string): number {
+  // Extract the name and number from each string using regular expressions
+  const regex = /(.+) \((\w+)\)/;
+  const matchA = a.match(regex);
+  const matchB = b.match(regex);
+
+  if (matchA && matchB) {
+    // Compare the names alphabetically
+    const nameA = matchA[1];
+    const nameB = matchB[1];
+    if (nameA !== nameB) {
+      return nameA.localeCompare(nameB);
+    }
+
+    // If the names are the same, compare the numbers numerically
+    const numberA = parseInt(matchA[2]);
+    const numberB = parseInt(matchB[2]);
+    return numberA - numberB;
+  } else {
+    // Handle cases where one or both strings do not match the expected pattern
+    // Simple strings are treated as pure alphabetical comparisons
+    return a.localeCompare(b);
+  }
+}
diff --git a/src/frontend/src/pages/FlowPage/components/nodeToolbarComponent/index.tsx b/src/frontend/src/pages/FlowPage/components/nodeToolbarComponent/index.tsx
index 279165a699d..c10e17c290c 100644
--- a/src/frontend/src/pages/FlowPage/components/nodeToolbarComponent/index.tsx
+++ b/src/frontend/src/pages/FlowPage/components/nodeToolbarComponent/index.tsx
@@ -1,20 +1,27 @@
-import { cloneDeep } from "lodash";
+import _, { cloneDeep } from "lodash";
 import { useEffect, useState } from "react";
-import ShadTooltip from "../../../../components/ShadTooltipComponent";
+import { useHotkeys } from "react-hotkeys-hook";
+import { useUpdateNodeInternals } from "reactflow";
+import CodeAreaComponent from "../../../../components/codeAreaComponent";
 import IconComponent from "../../../../components/genericIconComponent";
+import RenderIcons from "../../../../components/renderIconComponent";
+import ShadTooltip from "../../../../components/shadTooltipComponent";
 import {
   Select,
   SelectContent,
   SelectItem,
   SelectTrigger,
 } from "../../../../components/ui/select-custom";
-import ConfirmationModal from "../../../../modals/ConfirmationModal";
-import EditNodeModal from "../../../../modals/EditNodeModal";
+import ConfirmationModal from "../../../../modals/confirmationModal";
+import EditNodeModal from "../../../../modals/editNodeModal";
 import ShareModal from "../../../../modals/shareModal";
+import useAlertStore from "../../../../stores/alertStore";
 import { useDarkStore } from "../../../../stores/darkStore";
 import useFlowStore from "../../../../stores/flowStore";
 import useFlowsManagerStore from "../../../../stores/flowsManagerStore";
+import { useShortcutsStore } from "../../../../stores/shortcuts";
 import { useStoreStore } from "../../../../stores/storeStore";
+import { APIClassType } from "../../../../types/api";
 import { nodeToolbarPropsType } from "../../../../types/components";
 import { FlowType } from "../../../../types/flow";
 import {
@@ -23,59 +30,195 @@ import {
   expandGroupNode,
   updateFlowPosition,
 } from "../../../../utils/reactflowUtils";
-import { classNames } from "../../../../utils/utils";
+import { classNames, cn, isThereModal } from "../../../../utils/utils";
+import ToolbarSelectItem from "./toolbarSelectItem";
 
 export default function NodeToolbarComponent({
   data,
   deleteNode,
-  position,
   setShowNode,
   numberOfHandles,
+  numberOfOutputHandles,
   showNode,
+  name = "code",
+  setShowState,
+  onCloseAdvancedModal,
+  updateNode,
+  isOutdated,
 }: nodeToolbarPropsType): JSX.Element {
+  const version = useDarkStore((state) => state.version);
+  const [showModalAdvanced, setShowModalAdvanced] = useState(false);
+  const [showconfirmShare, setShowconfirmShare] = useState(false);
+  const [showOverrideModal, setShowOverrideModal] = useState(false);
+  const [flowComponent, setFlowComponent] = useState<FlowType>(
+    createFlowComponent(cloneDeep(data), version),
+  );
+  const preventDefault = true;
+  const isMac = navigator.platform.toUpperCase().includes("MAC");
   const nodeLength = Object.keys(data.node!.template).filter(
     (templateField) =>
       templateField.charAt(0) !== "_" &&
-      data.node?.template[templateField].show &&
-      (data.node.template[templateField].type === "str" ||
-        data.node.template[templateField].type === "bool" ||
-        data.node.template[templateField].type === "float" ||
-        data.node.template[templateField].type === "code" ||
-        data.node.template[templateField].type === "prompt" ||
-        data.node.template[templateField].type === "file" ||
-        data.node.template[templateField].type === "Any" ||
-        data.node.template[templateField].type === "int" ||
-        data.node.template[templateField].type === "dict" ||
-        data.node.template[templateField].type === "NestedDict")
+      data.node?.template[templateField]?.show &&
+      (data.node.template[templateField]?.type === "str" ||
+        data.node.template[templateField]?.type === "bool" ||
+        data.node.template[templateField]?.type === "float" ||
+        data.node.template[templateField]?.type === "code" ||
+        data.node.template[templateField]?.type === "prompt" ||
+        data.node.template[templateField]?.type === "file" ||
+        data.node.template[templateField]?.type === "Any" ||
+        data.node.template[templateField]?.type === "int" ||
+        data.node.template[templateField]?.type === "dict" ||
+        data.node.template[templateField]?.type === "NestedDict"),
   ).length;
 
   const hasStore = useStoreStore((state) => state.hasStore);
   const hasApiKey = useStoreStore((state) => state.hasApiKey);
   const validApiKey = useStoreStore((state) => state.validApiKey);
+  const shortcuts = useShortcutsStore((state) => state.shortcuts);
+  const unselectAll = useFlowStore((state) => state.unselectAll);
+  function handleMinimizeWShortcut(e: KeyboardEvent) {
+    e.preventDefault();
+    if (isMinimal) {
+      setShowState((show) => !show);
+      setShowNode(data.showNode ?? true ? false : true);
+      return;
+    }
+    setNoticeData({
+      title:
+        "Minimization are only available for nodes with one handle or fewer.",
+    });
+    return;
+  }
+
+  function handleGroupWShortcut(e: KeyboardEvent) {
+    e.preventDefault();
+    if (isGroup) {
+      handleSelectChange("ungroup");
+    }
+  }
+
+  function handleShareWShortcut(e: KeyboardEvent) {
+    e.preventDefault();
+    if (isThereModal() && !showOverrideModal) return;
+    if (hasApiKey || hasStore) {
+      setShowconfirmShare((state) => !state);
+    }
+  }
+
+  function handleCodeWShortcut(e: KeyboardEvent) {
+    e.preventDefault();
+    if (isThereModal() && !openModal) return;
+    if (hasCode) return setOpenModal((state) => !state);
+    setNoticeData({ title: `You can not access ${data.id} code` });
+  }
+
+  function handleAdvancedWShortcut(e: KeyboardEvent) {
+    e.preventDefault();
+    if (isThereModal() && !showModalAdvanced) return;
+    setShowModalAdvanced((state) => !state);
+  }
+
+  function handleSaveWShortcut(e: KeyboardEvent) {
+    e.preventDefault();
+    if (isThereModal() && !showOverrideModal) return;
+    if (isSaved) {
+      setShowOverrideModal((state) => !state);
+      return;
+    }
+    if (hasCode && !isSaved) {
+      saveComponent(cloneDeep(data), false);
+      setSuccessData({ title: `${data.id} saved successfully` });
+      return;
+    }
+  }
+
+  function handleDocsWShortcut(e: KeyboardEvent) {
+    e.preventDefault();
+    if (data.node?.documentation) {
+      return openInNewTab(data.node?.documentation);
+    }
+    setNoticeData({
+      title: `${data.id} docs is not available at the moment.`,
+    });
+  }
+
+  function handleDownloadWShortcut(e: KeyboardEvent) {
+    e.preventDefault();
+    downloadNode(flowComponent!);
+  }
+
+  function handleFreeze(e: KeyboardEvent) {
+    e.preventDefault();
+    if (data.node?.flow) return;
+    setNode(data.id, (old) => ({
+      ...old,
+      data: {
+        ...old.data,
+        node: {
+          ...old.data.node,
+          frozen: old.data?.node?.frozen ? false : true,
+        },
+      },
+    }));
+  }
 
-  const isMinimal = numberOfHandles <= 1;
+  const advanced = useShortcutsStore((state) => state.advanced);
+  const minimize = useShortcutsStore((state) => state.minimize);
+  const component = useShortcutsStore((state) => state.component);
+  const save = useShortcutsStore((state) => state.save);
+  const docs = useShortcutsStore((state) => state.docs);
+  const code = useShortcutsStore((state) => state.code);
+  const group = useShortcutsStore((state) => state.group);
+  const download = useShortcutsStore((state) => state.download);
+  const freeze = useShortcutsStore((state) => state.freeze);
+
+  useHotkeys(minimize, handleMinimizeWShortcut, { preventDefault });
+  useHotkeys(group, handleGroupWShortcut, { preventDefault });
+  useHotkeys(component, handleShareWShortcut, { preventDefault });
+  useHotkeys(code, handleCodeWShortcut, { preventDefault });
+  useHotkeys(advanced, handleAdvancedWShortcut, { preventDefault });
+  useHotkeys(save, handleSaveWShortcut, { preventDefault });
+  useHotkeys(docs, handleDocsWShortcut, { preventDefault });
+  useHotkeys(download, handleDownloadWShortcut, { preventDefault });
+  useHotkeys(freeze, handleFreeze, { preventDefault });
+
+  const isMinimal = numberOfHandles <= 1 && numberOfOutputHandles <= 1;
   const isGroup = data.node?.flow ? true : false;
 
+  const frozen = data.node?.frozen ?? false;
   const paste = useFlowStore((state) => state.paste);
   const nodes = useFlowStore((state) => state.nodes);
   const edges = useFlowStore((state) => state.edges);
   const setNodes = useFlowStore((state) => state.setNodes);
-  const setEdges = useFlowStore((state) => state.setEdges);
 
+  const setEdges = useFlowStore((state) => state.setEdges);
   const saveComponent = useFlowsManagerStore((state) => state.saveComponent);
+  const getNodePosition = useFlowStore((state) => state.getNodePosition);
   const flows = useFlowsManagerStore((state) => state.flows);
-  const version = useDarkStore((state) => state.version);
   const takeSnapshot = useFlowsManagerStore((state) => state.takeSnapshot);
-  const [showModalAdvanced, setShowModalAdvanced] = useState(false);
-  const [showconfirmShare, setShowconfirmShare] = useState(false);
-  const [showOverrideModal, setShowOverrideModal] = useState(false);
 
-  const [flowComponent, setFlowComponent] = useState<FlowType>();
+  //  useEffect(() => {
+  //    if (openWDoubleClick) setShowModalAdvanced(true);
+  //  }, [openWDoubleClick, setOpenWDoubleClick]);
 
   const openInNewTab = (url) => {
     window.open(url, "_blank", "noreferrer");
   };
 
+  useEffect(() => {
+    if (!showModalAdvanced) {
+      onCloseAdvancedModal!(false);
+    }
+  }, [showModalAdvanced]);
+  const updateNodeInternals = useUpdateNodeInternals();
+
+  const setLastCopiedSelection = useFlowStore(
+    (state) => state.setLastCopiedSelection,
+  );
+
+  const setSuccessData = useAlertStore((state) => state.setSuccessData);
+  const setNoticeData = useAlertStore((state) => state.setNoticeData);
+
   useEffect(() => {
     setFlowComponent(createFlowComponent(cloneDeep(data), version));
   }, [
@@ -90,6 +233,28 @@ export default function NodeToolbarComponent({
 
   const handleSelectChange = (event) => {
     switch (event) {
+      case "save":
+        if (isSaved) {
+          return setShowOverrideModal(true);
+        }
+        saveComponent(cloneDeep(data), false);
+        break;
+      case "freeze":
+        if (data.node?.flow) return;
+        setNode(data.id, (old) => ({
+          ...old,
+          data: {
+            ...old.data,
+            node: {
+              ...old.data.node,
+              frozen: old.data?.node?.frozen ? false : true,
+            },
+          },
+        }));
+        break;
+      case "code":
+        setOpenModal(!openModal);
+        break;
       case "advanced":
         setShowModalAdvanced(true);
         break;
@@ -97,6 +262,9 @@ export default function NodeToolbarComponent({
         takeSnapshot();
         setShowNode(data.showNode ?? true ? false : true);
         break;
+      case "Share":
+        if (hasApiKey || hasStore) setShowconfirmShare(true);
+        break;
       case "Download":
         downloadNode(flowComponent!);
         break;
@@ -108,105 +276,270 @@ export default function NodeToolbarComponent({
         break;
       case "disabled":
         break;
+      case "unselect":
+        unselectAll();
+        break;
       case "ungroup":
         takeSnapshot();
         expandGroupNode(
           data.id,
-          updateFlowPosition(position, data.node?.flow!),
+          updateFlowPosition(getNodePosition(data.id), data.node?.flow!),
           data.node!.template,
           nodes,
           edges,
           setNodes,
-          setEdges
+          setEdges,
+          data.node?.outputs,
         );
         break;
       case "override":
         setShowOverrideModal(true);
         break;
+      case "delete":
+        deleteNode(data.id);
+        break;
+      case "update":
+        updateNode();
+        break;
+      case "copy":
+        const node = nodes.filter((node) => node.id === data.id);
+        setLastCopiedSelection({ nodes: _.cloneDeep(node), edges: [] });
+        break;
+      case "duplicate":
+        paste(
+          {
+            nodes: [nodes.find((node) => node.id === data.id)!],
+            edges: [],
+          },
+          {
+            x: 50,
+            y: 10,
+            paneX: nodes.find((node) => node.id === data.id)?.position.x,
+            paneY: nodes.find((node) => node.id === data.id)?.position.y,
+          },
+        );
+        break;
     }
   };
 
   const isSaved = flows.some((flow) =>
-    Object.values(flow).includes(data.node?.display_name!)
+    Object.values(flow).includes(data.node?.display_name!),
   );
 
+  function displayShortcut({
+    name,
+    shortcut,
+  }: {
+    name: string;
+    shortcut: string;
+  }): JSX.Element {
+    let hasShift: boolean = false;
+    const fixedShortcut = shortcut?.split("+");
+    fixedShortcut.forEach((key) => {
+      if (key.toLowerCase().includes("shift")) {
+        hasShift = true;
+      }
+    });
+    const filteredShortcut = fixedShortcut.filter(
+      (key) => !key.toLowerCase().includes("shift"),
+    );
+    let shortcutWPlus: string[] = [];
+    if (!hasShift) shortcutWPlus = filteredShortcut.join("+").split(" ");
+    return (
+      <div className="flex justify-center">
+        <span> {name} </span>
+        <span
+          className={`ml-3 flex items-center rounded-sm bg-muted px-1.5 py-[0.1em] text-lg text-muted-foreground`}
+        >
+          <RenderIcons
+            isMac={isMac}
+            hasShift={hasShift}
+            filteredShortcut={filteredShortcut}
+            shortcutWPlus={shortcutWPlus}
+          />
+        </span>
+      </div>
+    );
+  }
+
+  const setNode = useFlowStore((state) => state.setNode);
+
+  const handleOnNewValue = (
+    newValue: string | string[] | boolean | Object[],
+  ): void => {
+    if (data.node!.template[name].value !== newValue) {
+      takeSnapshot();
+    }
+
+    data.node!.template[name].value = newValue; // necessary to enable ctrl+z inside the input
+
+    setNode(data.id, (oldNode) => {
+      let newNode = cloneDeep(oldNode);
+
+      newNode.data = {
+        ...newNode.data,
+      };
+
+      newNode.data.node.template[name].value = newValue;
+
+      return newNode;
+    });
+  };
+
+  const handleNodeClass = (newNodeClass: APIClassType, code?: string): void => {
+    if (!data.node) return;
+    if (data.node!.template[name].value !== code) {
+      takeSnapshot();
+    }
+
+    setNode(data.id, (oldNode) => {
+      let newNode = cloneDeep(oldNode);
+
+      newNode.data = {
+        ...newNode.data,
+        node: newNodeClass,
+        description: newNodeClass.description ?? data.node!.description,
+        display_name: newNodeClass.display_name ?? data.node!.display_name,
+      };
+
+      newNode.data.node.template[name].value = code;
+
+      return newNode;
+    });
+    updateNodeInternals(data.id);
+  };
+
+  const [openModal, setOpenModal] = useState(false);
+  const hasCode = Object.keys(data.node!.template).includes("code");
+  const [deleteIsFocus, setDeleteIsFocus] = useState(false);
+
   return (
     <>
-      <div className="w-26 h-10">
+      <div className="w-26 nocopy nowheel nopan nodelete nodrag noundo h-10">
         <span className="isolate inline-flex rounded-md shadow-sm">
-          <ShadTooltip content="Delete" side="top">
-            <button
-              className="relative inline-flex items-center rounded-l-md  bg-background px-2 py-2 text-foreground shadow-md ring-1 ring-inset ring-ring transition-all duration-500 ease-in-out hover:bg-muted focus:z-10"
-              onClick={() => {
-                deleteNode(data.id);
-              }}
-              data-testid="delete-button-modal"
+          {hasCode && (
+            <ShadTooltip
+              content={displayShortcut(
+                shortcuts.find(
+                  ({ name }) => name.split(" ")[0].toLowerCase() === "code",
+                )!,
+              )}
+              side="top"
             >
-              <IconComponent name="Trash2" className="h-4 w-4" />
-            </button>
-          </ShadTooltip>
+              <button
+                className="relative inline-flex items-center rounded-l-md bg-background px-2 py-2 text-foreground shadow-md ring-1 ring-inset ring-ring transition-all duration-500 ease-in-out hover:bg-muted focus:z-10"
+                onClick={() => {
+                  setOpenModal(!openModal);
+                }}
+                data-testid="code-button-modal"
+              >
+                <IconComponent name="Code" className="h-4 w-4" />
+              </button>
+            </ShadTooltip>
+          )}
+          {nodeLength > 0 && (
+            <ShadTooltip
+              content={displayShortcut(
+                shortcuts.find(
+                  ({ name }) => name.split(" ")[0].toLowerCase() === "advanced",
+                )!,
+              )}
+              side="top"
+            >
+              <button
+                className={`${
+                  isGroup ? "rounded-l-md" : ""
+                } relative -ml-px inline-flex items-center bg-background px-2 py-2 text-foreground shadow-md ring-1 ring-inset ring-ring transition-all duration-500 ease-in-out hover:bg-muted focus:z-10`}
+                onClick={() => {
+                  setShowModalAdvanced(true);
+                }}
+                data-testid="advanced-button-modal"
+              >
+                <IconComponent name="Settings2" className="h-4 w-4" />
+              </button>
+            </ShadTooltip>
+          )}
 
-          <ShadTooltip content="Duplicate" side="top">
+          {/*<ShadTooltip content={"Save"} side="top">
             <button
+              data-testid="save-button-modal"
               className={classNames(
-                "relative -ml-px inline-flex items-center bg-background px-2 py-2 text-foreground shadow-md ring-1 ring-inset ring-ring  transition-all duration-500 ease-in-out hover:bg-muted focus:z-10"
+                "relative -ml-px inline-flex items-center bg-background px-2 py-2 text-foreground shadow-md ring-1 ring-inset ring-ring  transition-all duration-500 ease-in-out hover:bg-muted focus:z-10",
+                hasCode ? " " : " rounded-l-md ",
               )}
               onClick={(event) => {
                 event.preventDefault();
-                paste(
-                  {
-                    nodes: [nodes.find((node) => node.id === data.id)!],
-                    edges: [],
-                  },
-                  {
-                    x: 50,
-                    y: 10,
-                    paneX: nodes.find((node) => node.id === data.id)?.position
-                      .x,
-                    paneY: nodes.find((node) => node.id === data.id)?.position
-                      .y,
-                  }
-                );
+                if (isSaved) {
+                  return setShowOverrideModal(true);
+                }
+                saveComponent(cloneDeep(data), false);
               }}
             >
-              <IconComponent name="Copy" className="h-4 w-4" />
+              <IconComponent name="SaveAll" className="h-4 w-4" />
             </button>
-          </ShadTooltip>
-          {hasStore && (
+          </ShadTooltip>*/}
+          {!data.node?.flow && (
             <ShadTooltip
-              content={
-                !hasApiKey || !validApiKey
-                  ? "Set a valid API key to share this component."
-                  : "Share"
-              }
+              content={displayShortcut(
+                shortcuts.find(
+                  ({ name }) => name.split(" ")[0].toLowerCase() === "freeze",
+                )!,
+              )}
               side="top"
             >
               <button
                 className={classNames(
-                  "relative -ml-px inline-flex items-center bg-background px-2 py-2 text-foreground shadow-md ring-1 ring-inset ring-ring  transition-all duration-500 ease-in-out hover:bg-muted focus:z-10",
-                  !hasApiKey || !validApiKey
-                    ? " cursor-not-allowed text-muted-foreground"
-                    : ""
+                  "relative -ml-px inline-flex items-center bg-background px-2 py-2 text-foreground shadow-md ring-1 ring-inset ring-ring transition-all duration-500 ease-in-out hover:bg-muted focus:z-10",
                 )}
                 onClick={(event) => {
                   event.preventDefault();
-                  if (hasApiKey && hasStore && validApiKey)
-                    setShowconfirmShare(true);
+                  setNode(data.id, (old) => ({
+                    ...old,
+                    data: {
+                      ...old.data,
+                      node: {
+                        ...old.data.node,
+                        frozen: old.data?.node?.frozen ? false : true,
+                      },
+                    },
+                  }));
                 }}
               >
-                <IconComponent name="Share3" className="-m-1 h-6 w-6" />
+                <IconComponent
+                  name="Snowflake"
+                  className={cn(
+                    "h-4 w-4 transition-all",
+                    // TODO UPDATE THIS COLOR TO BE A VARIABLE
+                    frozen ? "animate-wiggle text-ice" : "",
+                  )}
+                />
               </button>
             </ShadTooltip>
           )}
 
+          {/*<ShadTooltip content={"Duplicate"} side="top">
+            <button
+              data-testid="duplicate-button-modal"
+              className={classNames(
+                "relative -ml-px inline-flex items-center bg-background px-2 py-2 text-foreground shadow-md ring-1 ring-inset ring-ring  transition-all duration-500 ease-in-out hover:bg-muted focus:z-10",
+              )}
+              onClick={(event) => {
+                event.preventDefault();
+                handleSelectChange("duplicate");
+              }}
+            >
+              <IconComponent name="Copy" className="h-4 w-4" />
+            </button>
+          </ShadTooltip>*/}
+
           <Select onValueChange={handleSelectChange} value="">
-            <ShadTooltip content="More" side="top">
+            <ShadTooltip content="All" side="top">
               <SelectTrigger>
                 <div>
                   <div
                     data-testid="more-options-modal"
                     className={classNames(
-                      "relative -ml-px inline-flex h-8 w-[31px] items-center rounded-r-md bg-background text-foreground  shadow-md ring-1 ring-inset  ring-ring transition-all duration-500 ease-in-out hover:bg-muted focus:z-10"
+                      "relative -ml-px inline-flex h-8 w-[31px] items-center rounded-r-md bg-background text-foreground shadow-md ring-1 ring-inset ring-ring transition-all duration-500 ease-in-out hover:bg-muted focus:z-10",
                     )}
                   >
                     <IconComponent
@@ -218,86 +551,187 @@ export default function NodeToolbarComponent({
               </SelectTrigger>
             </ShadTooltip>
             <SelectContent>
+              {hasCode && (
+                <SelectItem value={"code"}>
+                  <ToolbarSelectItem
+                    shortcut={
+                      shortcuts.find((obj) => obj.name === "Code")?.shortcut!
+                    }
+                    value={"Code"}
+                    icon={"Code"}
+                    dataTestId="code-button-modal"
+                  />
+                </SelectItem>
+              )}
               {nodeLength > 0 && (
                 <SelectItem value={nodeLength === 0 ? "disabled" : "advanced"}>
-                  <div className="flex" data-testid="edit-button-modal">
-                    <IconComponent
-                      name="Settings2"
-                      className="relative top-0.5 mr-2 h-4 w-4"
-                    />{" "}
-                    Edit{" "}
-                  </div>{" "}
+                  <ToolbarSelectItem
+                    shortcut={
+                      shortcuts.find((obj) => obj.name === "Advanced Settings")
+                        ?.shortcut!
+                    }
+                    value={"Advanced"}
+                    icon={"Settings2"}
+                    dataTestId="edit-button-modal"
+                  />
                 </SelectItem>
               )}
-
-              {isSaved ? (
-                <SelectItem value={"override"}>
-                  <div className="flex" data-testid="save-button-modal">
-                    <IconComponent
-                      name="SaveAll"
-                      className="relative top-0.5 mr-2 h-4 w-4"
-                    />{" "}
-                    Save{" "}
-                  </div>{" "}
+              <SelectItem value={"save"}>
+                <ToolbarSelectItem
+                  shortcut={
+                    shortcuts.find((obj) => obj.name === "Save")?.shortcut!
+                  }
+                  value={"Save"}
+                  icon={"SaveAll"}
+                  dataTestId="save-button-modal"
+                />
+              </SelectItem>
+              <SelectItem value={"duplicate"}>
+                <ToolbarSelectItem
+                  shortcut={
+                    shortcuts.find((obj) => obj.name === "Duplicate")?.shortcut!
+                  }
+                  value={"Duplicate"}
+                  icon={"Copy"}
+                  dataTestId="copy-button-modal"
+                />
+              </SelectItem>
+              <SelectItem value={"copy"}>
+                <ToolbarSelectItem
+                  shortcut={
+                    shortcuts.find((obj) => obj.name === "Copy")?.shortcut!
+                  }
+                  value={"Copy"}
+                  icon={"Clipboard"}
+                  dataTestId="copy-button-modal"
+                />
+              </SelectItem>
+              {isOutdated && (
+                <SelectItem value={"update"}>
+                  <ToolbarSelectItem
+                    shortcut={
+                      shortcuts.find((obj) => obj.name === "Update")?.shortcut!
+                    }
+                    value={"Restore"}
+                    icon={"RefreshCcwDot"}
+                    dataTestId="update-button-modal"
+                  />
                 </SelectItem>
-              ) : (
-                <SelectItem value={"SaveAll"}>
-                  <div className="flex" data-testid="save-button-modal">
-                    <IconComponent
-                      name="SaveAll"
-                      className="relative top-0.5 mr-2 h-4 w-4"
-                    />{" "}
-                    Save{" "}
-                  </div>{" "}
+              )}
+              {hasStore && (
+                <SelectItem
+                  value={"Share"}
+                  disabled={!hasApiKey || !validApiKey}
+                >
+                  <ToolbarSelectItem
+                    shortcut={
+                      shortcuts.find((obj) => obj.name === "Component Share")
+                        ?.shortcut!
+                    }
+                    value={"Share"}
+                    icon={"Share3"}
+                    dataTestId="share-button-modal"
+                  />
                 </SelectItem>
               )}
-              {!hasStore && (
+              {/* {(!hasStore || !hasApiKey || !validApiKey) && (
                 <SelectItem value={"Download"}>
-                  <div className="flex">
-                    <IconComponent
-                      name="Download"
-                      className="relative top-0.5 mr-2 h-4 w-4"
-                    />{" "}
-                    Download{" "}
-                  </div>{" "}
+                  <ToolbarSelectItem
+                    shortcut={
+                      shortcuts.find((obj) => obj.name === "Download")
+                        ?.shortcut!
+                    }
+                    value={"Download"}
+                    icon={"Download"}
+                    dataTestId="Download-button-modal"
+                  />
                 </SelectItem>
-              )}
+              )} */}
               <SelectItem
                 value={"documentation"}
                 disabled={data.node?.documentation === ""}
               >
-                <div className="flex">
-                  <IconComponent
-                    name="FileText"
-                    className="relative top-0.5 mr-2 h-4 w-4"
-                  />{" "}
-                  {data.node?.documentation === ""
-                    ? "Coming Soon"
-                    : "Documentation"}
-                </div>{" "}
+                <ToolbarSelectItem
+                  shortcut={
+                    shortcuts.find((obj) => obj.name === "Docs")?.shortcut!
+                  }
+                  value={"Docs"}
+                  icon={"FileText"}
+                  dataTestId="docs-button-modal"
+                />
               </SelectItem>
               {isMinimal && (
                 <SelectItem value={"show"}>
-                  <div className="flex">
-                    <IconComponent
-                      name={showNode ? "Minimize2" : "Maximize2"}
-                      className="relative top-0.5 mr-2 h-4 w-4"
-                    />
-                    {showNode ? "Minimize" : "Expand"}
-                  </div>
+                  <ToolbarSelectItem
+                    shortcut={
+                      shortcuts.find((obj) => obj.name === "Minimize")
+                        ?.shortcut!
+                    }
+                    value={showNode ? "Minimize" : "Expand"}
+                    icon={showNode ? "Minimize2" : "Maximize2"}
+                    dataTestId="minimize-button-modal"
+                  />
                 </SelectItem>
               )}
               {isGroup && (
                 <SelectItem value="ungroup">
-                  <div className="flex">
-                    <IconComponent
-                      name="Combine"
-                      className="relative top-0.5 mr-2 h-4 w-4"
-                    />{" "}
-                    Ungroup{" "}
-                  </div>
+                  <ToolbarSelectItem
+                    shortcut={
+                      shortcuts.find((obj) => obj.name === "Group")?.shortcut!
+                    }
+                    value={"Ungroup"}
+                    icon={"Ungroup"}
+                    dataTestId="group-button-modal"
+                  />
+                </SelectItem>
+              )}
+              {!data.node?.flow && (
+                <SelectItem value="freeze">
+                  <ToolbarSelectItem
+                    shortcut={
+                      shortcuts.find((obj) => obj.name === "Freeze")?.shortcut!
+                    }
+                    value={"Freeze"}
+                    icon={"Snowflake"}
+                    dataTestId="group-button-modal"
+                    style={`${frozen ? " text-ice" : ""} transition-all`}
+                  />
                 </SelectItem>
               )}
+              <SelectItem value="Download">
+                <ToolbarSelectItem
+                  shortcut={
+                    shortcuts.find((obj) => obj.name === "Download")?.shortcut!
+                  }
+                  value={"Download"}
+                  icon={"Download"}
+                  dataTestId="download-button-modal"
+                />
+              </SelectItem>
+              <SelectItem
+                value={"delete"}
+                className="focus:bg-red-400/[.20]"
+                onFocus={() => setDeleteIsFocus(true)}
+                onBlur={() => setDeleteIsFocus(false)}
+              >
+                <div className="font-red flex text-status-red">
+                  <IconComponent
+                    name="Trash2"
+                    className="relative top-0.5 mr-2 h-4 w-4"
+                  />{" "}
+                  <span className="">Delete</span>{" "}
+                  <span
+                    className={`absolute right-2 top-2 flex items-center justify-center rounded-sm px-1 py-[0.2] ${
+                      deleteIsFocus ? " " : "bg-muted"
+                    }`}
+                  >
+                    <IconComponent
+                      name="Delete"
+                      className="h-4 w-4 stroke-2 text-red-400"
+                    ></IconComponent>
+                  </span>
+                </div>
+              </SelectItem>
             </SelectContent>
           </Select>
 
@@ -311,9 +745,13 @@ export default function NodeToolbarComponent({
             index={6}
             onConfirm={(index, user) => {
               saveComponent(cloneDeep(data), true);
+              setSuccessData({ title: `${data.id} successfully overridden!` });
             }}
             onClose={setShowOverrideModal}
-            onCancel={() => saveComponent(cloneDeep(data), false)}
+            onCancel={() => {
+              saveComponent(cloneDeep(data), false);
+              setSuccessData({ title: "New node successfully saved!" });
+            }}
           >
             <ConfirmationModal.Content>
               <span>
@@ -322,18 +760,45 @@ export default function NodeToolbarComponent({
               </span>
             </ConfirmationModal.Content>
           </ConfirmationModal>
-          <EditNodeModal
-            data={data}
-            nodeLength={nodeLength}
-            open={showModalAdvanced}
-            setOpen={setShowModalAdvanced}
-          />
-          <ShareModal
-            open={showconfirmShare}
-            setOpen={setShowconfirmShare}
-            is_component={true}
-            component={flowComponent!}
-          />
+          {showModalAdvanced && (
+            <EditNodeModal
+              //              setOpenWDoubleClick={setOpenWDoubleClick}
+              data={data}
+              nodeLength={nodeLength}
+              open={showModalAdvanced}
+              setOpen={setShowModalAdvanced}
+            />
+          )}
+          {showconfirmShare && (
+            <ShareModal
+              open={showconfirmShare}
+              setOpen={setShowconfirmShare}
+              is_component={true}
+              component={flowComponent!}
+            />
+          )}
+          {hasCode && (
+            <div className="hidden">
+              {openModal && (
+                <CodeAreaComponent
+                  open={openModal}
+                  setOpen={setOpenModal}
+                  readonly={
+                    data.node?.flow && data.node.template[name].dynamic
+                      ? true
+                      : false
+                  }
+                  dynamic={data.node?.template[name].dynamic ?? false}
+                  setNodeClass={handleNodeClass}
+                  nodeClass={data.node}
+                  disabled={false}
+                  value={data.node?.template[name].value ?? ""}
+                  onChange={handleOnNewValue}
+                  id={"code-input-node-toolbar-" + name}
+                />
+              )}
+            </div>
+          )}
         </span>
       </div>
     </>
diff --git a/src/frontend/src/pages/FlowPage/components/nodeToolbarComponent/toolbarSelectItem/index.tsx b/src/frontend/src/pages/FlowPage/components/nodeToolbarComponent/toolbarSelectItem/index.tsx
new file mode 100644
index 00000000000..377bc4cc428
--- /dev/null
+++ b/src/frontend/src/pages/FlowPage/components/nodeToolbarComponent/toolbarSelectItem/index.tsx
@@ -0,0 +1,52 @@
+import ForwardedIconComponent from "../../../../../components/genericIconComponent";
+import RenderIcons from "../../../../../components/renderIconComponent";
+import { IS_MAC } from "../../../../../constants/constants";
+import { toolbarSelectItemProps } from "../../../../../types/components";
+
+export default function ToolbarSelectItem({
+  value,
+  icon,
+  style,
+  dataTestId,
+  ping,
+  shortcut,
+}: toolbarSelectItemProps) {
+  let hasShift = false;
+  const fixedShortcut = shortcut?.split("+");
+  fixedShortcut.forEach((key) => {
+    if (key.toLowerCase().includes("shift")) {
+      hasShift = true;
+    }
+  });
+  const filteredShortcut = fixedShortcut.filter(
+    (key) => !key.toLowerCase().includes("shift"),
+  );
+  let shortcutWPlus: string[] = [];
+  if (!hasShift) shortcutWPlus = filteredShortcut.join("+").split(" ");
+
+  return (
+    <div className={`flex ${style}`} data-testid={dataTestId}>
+      <ForwardedIconComponent
+        name={icon}
+        className={`mr-2 ${
+          icon === "Share3"
+            ? "absolute left-2 top-[0.25em] h-6 w-6"
+            : "mt-[0.15em] h-4 w-4"
+        } ${ping && "animate-pulse text-green-500"}`}
+      />
+      <span className={`${icon === "Share3" ? "ml-[1.8em]" : " "}`}>
+        {value}
+      </span>
+      <span
+        className={`absolute right-2 top-[0.43em] flex items-center rounded-sm bg-muted px-1.5 py-[0.1em] text-muted-foreground`}
+      >
+        <RenderIcons
+          isMac={IS_MAC}
+          hasShift={hasShift}
+          filteredShortcut={filteredShortcut}
+          shortcutWPlus={shortcutWPlus}
+        />
+      </span>
+    </div>
+  );
+}
diff --git a/src/frontend/src/pages/FlowPage/index.tsx b/src/frontend/src/pages/FlowPage/index.tsx
index 9aa88a6e252..49fdb1eca9e 100644
--- a/src/frontend/src/pages/FlowPage/index.tsx
+++ b/src/frontend/src/pages/FlowPage/index.tsx
@@ -1,35 +1,64 @@
 import { useEffect } from "react";
-import { useParams } from "react-router-dom";
+import { useNavigate, useParams } from "react-router-dom";
+import FlowToolbar from "../../components/chatComponent";
 import Header from "../../components/headerComponent";
 import { useDarkStore } from "../../stores/darkStore";
+import useFlowStore from "../../stores/flowStore";
 import useFlowsManagerStore from "../../stores/flowsManagerStore";
 import Page from "./components/PageComponent";
+import ExtraSidebar from "./components/extraSidebarComponent";
 
-export default function FlowPage(): JSX.Element {
+export default function FlowPage({ view }: { view?: boolean }): JSX.Element {
   const setCurrentFlowId = useFlowsManagerStore(
-    (state) => state.setCurrentFlowId
+    (state) => state.setCurrentFlowId,
   );
   const version = useDarkStore((state) => state.version);
+  const setOnFlowPage = useFlowStore((state) => state.setOnFlowPage);
   const currentFlow = useFlowsManagerStore((state) => state.currentFlow);
   const { id } = useParams();
+  const navigate = useNavigate();
+
+  const flows = useFlowsManagerStore((state) => state.flows);
 
   // Set flow tab id
   useEffect(() => {
+    const isAnExistingFlow = flows.some((flow) => flow.id === id);
+
+    if (!isAnExistingFlow) {
+      navigate("/all");
+      return;
+    }
+
     setCurrentFlowId(id!);
-  }, [id]);
+    setOnFlowPage(true);
 
+    return () => {
+      setOnFlowPage(false);
+    };
+  }, [id]);
   return (
     <>
       <Header />
       <div className="flow-page-positioning">
-        {currentFlow && <Page flow={currentFlow} />}
+        {currentFlow && (
+          <div className="flex h-full overflow-hidden">
+            {!view && <ExtraSidebar />}
+            <main className="flex flex-1">
+              {/* Primary column */}
+              <div className="h-full w-full">
+                <Page flow={currentFlow} />
+              </div>
+              {!view && <FlowToolbar />}
+            </main>
+          </div>
+        )}
         <a
           target={"_blank"}
-          href="https://logspace.ai/"
-          className="logspace-page-icon"
+          href="https://medium.com/logspace/langflow-datastax-better-together-1b7462cebc4d"
+          className="langflow-page-icon"
         >
-          {version && <div className="mt-1">⛓️ Langflow v{version}</div>}
-          <div className={version ? "mt-2" : "mt-1"}>Created by Logspace</div>
+          {version && <div className="mt-1">Langflow 🤝 DataStax</div>}
+          <div className={version ? "mt-2" : "mt-1"}>⛓️ v{version}</div>
         </a>
       </div>
     </>
diff --git a/src/frontend/src/pages/LoginPage/index.tsx b/src/frontend/src/pages/LoginPage/index.tsx
new file mode 100644
index 00000000000..d25d1c2e1cd
--- /dev/null
+++ b/src/frontend/src/pages/LoginPage/index.tsx
@@ -0,0 +1,140 @@
+import * as Form from "@radix-ui/react-form";
+import { useContext, useState } from "react";
+import { Link, useNavigate } from "react-router-dom";
+import InputComponent from "../../components/inputComponent";
+import { Button } from "../../components/ui/button";
+import { Input } from "../../components/ui/input";
+import { SIGNIN_ERROR_ALERT } from "../../constants/alerts_constants";
+import { CONTROL_LOGIN_STATE } from "../../constants/constants";
+import { AuthContext } from "../../contexts/authContext";
+import { onLogin } from "../../controllers/API";
+import useAlertStore from "../../stores/alertStore";
+import useFlowsManagerStore from "../../stores/flowsManagerStore";
+import { LoginType } from "../../types/api";
+import {
+  inputHandlerEventType,
+  loginInputStateType,
+} from "../../types/components";
+
+export default function LoginPage(): JSX.Element {
+  const [inputState, setInputState] =
+    useState<loginInputStateType>(CONTROL_LOGIN_STATE);
+
+  const { password, username } = inputState;
+  const { login } = useContext(AuthContext);
+  const navigate = useNavigate();
+  const setErrorData = useAlertStore((state) => state.setErrorData);
+  const setLoading = useFlowsManagerStore((state) => state.setIsLoading);
+
+  function handleInput({
+    target: { name, value },
+  }: inputHandlerEventType): void {
+    setInputState((prev) => ({ ...prev, [name]: value }));
+  }
+
+  function signIn() {
+    const user: LoginType = {
+      username: username.trim(),
+      password: password.trim(),
+    };
+    onLogin(user)
+      .then((user) => {
+        console.log("login page");
+
+        setLoading(true);
+        login(user.access_token);
+        navigate("/");
+      })
+      .catch((error) => {
+        setErrorData({
+          title: SIGNIN_ERROR_ALERT,
+          list: [error["response"]["data"]["detail"]],
+        });
+      });
+  }
+
+  return (
+    <Form.Root
+      onSubmit={(event) => {
+        if (password === "") {
+          event.preventDefault();
+          return;
+        }
+        signIn();
+        const data = Object.fromEntries(new FormData(event.currentTarget));
+        event.preventDefault();
+      }}
+      className="h-full w-full"
+    >
+      <div className="flex h-full w-full flex-col items-center justify-center bg-muted">
+        <div className="flex w-72 flex-col items-center justify-center gap-2">
+          <span className="mb-4 text-5xl">⛓️</span>
+          <span className="mb-6 text-2xl font-semibold text-primary">
+            Sign in to Langflow
+          </span>
+          <div className="mb-3 w-full">
+            <Form.Field name="username">
+              <Form.Label className="data-[invalid]:label-invalid">
+                Username <span className="font-medium text-destructive">*</span>
+              </Form.Label>
+
+              <Form.Control asChild>
+                <Input
+                  type="username"
+                  onChange={({ target: { value } }) => {
+                    handleInput({ target: { name: "username", value } });
+                  }}
+                  value={username}
+                  className="w-full"
+                  required
+                  placeholder="Username"
+                />
+              </Form.Control>
+
+              <Form.Message match="valueMissing" className="field-invalid">
+                Please enter your username
+              </Form.Message>
+            </Form.Field>
+          </div>
+          <div className="mb-3 w-full">
+            <Form.Field name="password">
+              <Form.Label className="data-[invalid]:label-invalid">
+                Password <span className="font-medium text-destructive">*</span>
+              </Form.Label>
+
+              <InputComponent
+                onChange={(value) => {
+                  handleInput({ target: { name: "password", value } });
+                }}
+                value={password}
+                isForm
+                password={true}
+                required
+                placeholder="Password"
+                className="w-full"
+              />
+
+              <Form.Message className="field-invalid" match="valueMissing">
+                Please enter your password
+              </Form.Message>
+            </Form.Field>
+          </div>
+          <div className="w-full">
+            <Form.Submit asChild>
+              <Button className="mr-3 mt-6 w-full" type="submit">
+                Sign in
+              </Button>
+            </Form.Submit>
+          </div>
+          <div className="w-full">
+            <Link to="/signup">
+              <Button className="w-full" variant="outline" type="button">
+                Don't have an account?&nbsp;<b>Sign Up</b>
+              </Button>
+            </Link>
+          </div>
+        </div>
+      </div>
+    </Form.Root>
+  );
+}
diff --git a/src/frontend/src/pages/MainPage/components/components/index.tsx b/src/frontend/src/pages/MainPage/components/components/index.tsx
deleted file mode 100644
index f2e7e134b9c..00000000000
--- a/src/frontend/src/pages/MainPage/components/components/index.tsx
+++ /dev/null
@@ -1,203 +0,0 @@
-import { useEffect, useState } from "react";
-import { Link, useNavigate } from "react-router-dom";
-import PaginatorComponent from "../../../../components/PaginatorComponent";
-import CollectionCardComponent from "../../../../components/cardComponent";
-import CardsWrapComponent from "../../../../components/cardsWrapComponent";
-import IconComponent from "../../../../components/genericIconComponent";
-import { SkeletonCardComponent } from "../../../../components/skeletonCardComponent";
-import { Button } from "../../../../components/ui/button";
-import useAlertStore from "../../../../stores/alertStore";
-import useFlowsManagerStore from "../../../../stores/flowsManagerStore";
-import { FlowType } from "../../../../types/flow";
-
-export default function ComponentsComponent({
-  is_component = true,
-}: {
-  is_component?: boolean;
-}) {
-  const addFlow = useFlowsManagerStore((state) => state.addFlow);
-  const uploadFlow = useFlowsManagerStore((state) => state.uploadFlow);
-  const removeFlow = useFlowsManagerStore((state) => state.removeFlow);
-  const isLoading = useFlowsManagerStore((state) => state.isLoading);
-  const flows = useFlowsManagerStore((state) => state.flows);
-  const setSuccessData = useAlertStore((state) => state.setSuccessData);
-  const setErrorData = useAlertStore((state) => state.setErrorData);
-  const [pageSize, setPageSize] = useState(10);
-  const [pageIndex, setPageIndex] = useState(1);
-  const [loadingScreen, setLoadingScreen] = useState(true);
-
-  const navigate = useNavigate();
-
-  useEffect(() => {
-    if (isLoading) return;
-    const all = flows
-      .filter((f) => (f.is_component ?? false) === is_component)
-      .sort((a, b) => {
-        if (a?.updated_at && b?.updated_at) {
-          return (
-            new Date(b?.updated_at!).getTime() -
-            new Date(a?.updated_at!).getTime()
-          );
-        } else if (a?.updated_at && !b?.updated_at) {
-          return 1;
-        } else if (!a?.updated_at && b?.updated_at) {
-          return -1;
-        } else {
-          return (
-            new Date(b?.date_created!).getTime() -
-            new Date(a?.date_created!).getTime()
-          );
-        }
-      });
-    const start = (pageIndex - 1) * pageSize;
-    const end = start + pageSize;
-    setData(all.slice(start, end));
-  }, [flows, isLoading, pageIndex, pageSize]);
-
-  const [data, setData] = useState<FlowType[]>([]);
-
-  const name = is_component ? "Component" : "Flow";
-
-  const onFileDrop = (e) => {
-    e.preventDefault();
-    if (e.dataTransfer.types.some((types) => types === "Files")) {
-      if (e.dataTransfer.files.item(0).type === "application/json") {
-        uploadFlow({
-          newProject: true,
-          file: e.dataTransfer.files.item(0)!,
-          isComponent: is_component,
-        })
-          .then(() => {
-            setSuccessData({
-              title: `${
-                is_component ? "Component" : "Flow"
-              } uploaded successfully`,
-            });
-          })
-          .catch((error) => {
-            setErrorData({
-              title: "Error uploading file",
-              list: [error],
-            });
-          });
-      } else {
-        setErrorData({
-          title: "Invalid file type",
-          list: ["Please upload a JSON file"],
-        });
-      }
-    }
-  };
-
-  function resetFilter() {
-    setPageIndex(1);
-    setPageSize(10);
-  }
-
-  return (
-    <CardsWrapComponent
-      onFileDrop={onFileDrop}
-      dragMessage={`Drag your ${name} here`}
-    >
-      <div className="flex h-full w-full flex-col justify-between">
-        <div className="flex w-full flex-col gap-4">
-          {!isLoading && data.length === 0 ? (
-            <div className="mt-6 flex w-full items-center justify-center text-center">
-              <div className="flex-max-width h-full flex-col">
-                <div className="flex w-full flex-col gap-4">
-                  <div className="grid w-full gap-4">
-                    Flows and components can be created using Langflow.
-                  </div>
-                  <div className="align-center flex w-full justify-center gap-1">
-                    <span>New?</span>
-                    <span className="transition-colors hover:text-muted-foreground">
-                      <button
-                        onClick={() => {
-                          addFlow(true).then((id) => {
-                            navigate("/flow/" + id);
-                          });
-                        }}
-                        className="underline"
-                      >
-                        Start Here
-                      </button>
-                      .
-                    </span>
-                    <span className="animate-pulse">🚀</span>
-                  </div>
-                </div>
-              </div>
-            </div>
-          ) : (
-            <div className="grid w-full gap-4 md:grid-cols-2 lg:grid-cols-2">
-              {isLoading === false && data?.length > 0 ? (
-                data?.map((item, idx) => (
-                  <CollectionCardComponent
-                    onDelete={() => {
-                      removeFlow(item.id);
-                      setSuccessData({
-                        title: `${
-                          item.is_component ? "Component" : "Flow"
-                        } deleted successfully!`,
-                      });
-                      resetFilter();
-                    }}
-                    key={idx}
-                    data={item}
-                    disabled={isLoading}
-                    button={
-                      !is_component ? (
-                        <Link to={"/flow/" + item.id}>
-                          <Button
-                            tabIndex={-1}
-                            variant="outline"
-                            size="sm"
-                            className="whitespace-nowrap "
-                            data-testid={
-                              "edit-flow-button-" + item.id + "-" + idx
-                            }
-                          >
-                            <IconComponent
-                              name="ExternalLink"
-                              className="main-page-nav-button select-none"
-                            />
-                            Edit Flow
-                          </Button>
-                        </Link>
-                      ) : (
-                        <></>
-                      )
-                    }
-                  />
-                ))
-              ) : (
-                <>
-                  <SkeletonCardComponent />
-                  <SkeletonCardComponent />
-                </>
-              )}
-            </div>
-          )}
-        </div>
-        {!isLoading && data.length > 0 && (
-          <div className="relative py-6">
-            <PaginatorComponent
-              storeComponent={true}
-              pageIndex={pageIndex}
-              pageSize={pageSize}
-              rowsCount={[10, 20, 50, 100]}
-              totalRowsCount={
-                flows.filter((f) => (f.is_component ?? false) === is_component)
-                  .length
-              }
-              paginate={(pageSize, pageIndex) => {
-                setPageIndex(pageIndex);
-                setPageSize(pageSize);
-              }}
-            ></PaginatorComponent>
-          </div>
-        )}
-      </div>
-    </CardsWrapComponent>
-  );
-}
diff --git a/src/frontend/src/pages/MainPage/components/componentsComponent/hooks/use-delete-multiple.tsx b/src/frontend/src/pages/MainPage/components/componentsComponent/hooks/use-delete-multiple.tsx
new file mode 100644
index 00000000000..3950881935a
--- /dev/null
+++ b/src/frontend/src/pages/MainPage/components/componentsComponent/hooks/use-delete-multiple.tsx
@@ -0,0 +1,47 @@
+import { useCallback } from "react";
+
+const useDeleteMultipleFlows = (
+  selectedFlowsComponentsCards,
+  removeFlow,
+  resetFilter,
+  getFoldersApi,
+  folderId,
+  myCollectionId,
+  getFolderById,
+  setSuccessData,
+  setErrorData,
+) => {
+  const handleDeleteMultiple = useCallback(() => {
+    removeFlow(selectedFlowsComponentsCards)
+      .then(() => {
+        resetFilter();
+        getFoldersApi(true);
+        if (!folderId || folderId === myCollectionId) {
+          getFolderById(folderId ? folderId : myCollectionId);
+        }
+        setSuccessData({
+          title: "Selected items deleted successfully",
+        });
+      })
+      .catch(() => {
+        setErrorData({
+          title: "Error deleting items",
+          list: ["Please try again"],
+        });
+      });
+  }, [
+    selectedFlowsComponentsCards,
+    removeFlow,
+    resetFilter,
+    getFoldersApi,
+    folderId,
+    myCollectionId,
+    getFolderById,
+    setSuccessData,
+    setErrorData,
+  ]);
+
+  return { handleDeleteMultiple };
+};
+
+export default useDeleteMultipleFlows;
diff --git a/src/frontend/src/pages/MainPage/components/componentsComponent/hooks/use-description-modal.tsx b/src/frontend/src/pages/MainPage/components/componentsComponent/hooks/use-description-modal.tsx
new file mode 100644
index 00000000000..6de2ebb6d31
--- /dev/null
+++ b/src/frontend/src/pages/MainPage/components/componentsComponent/hooks/use-description-modal.tsx
@@ -0,0 +1,32 @@
+import { useMemo } from "react";
+
+const useDescriptionModal = (selectedFlowsComponentsCards, type) => {
+  const getDescriptionModal = useMemo(() => {
+    const getTypeLabel = (type) => {
+      const labels = {
+        all: "item",
+        component: "component",
+        flow: "flow",
+      };
+      return labels[type] || "";
+    };
+
+    const getPluralizedLabel = (type) => {
+      const labels = {
+        all: "items",
+        component: "components",
+        flow: "flows",
+      };
+      return labels[type] || "";
+    };
+
+    if (selectedFlowsComponentsCards?.length === 1) {
+      return getTypeLabel(type);
+    }
+    return getPluralizedLabel(type);
+  }, [selectedFlowsComponentsCards, type]);
+
+  return getDescriptionModal;
+};
+
+export default useDescriptionModal;
diff --git a/src/frontend/src/pages/MainPage/components/componentsComponent/hooks/use-filtered-flows.tsx b/src/frontend/src/pages/MainPage/components/componentsComponent/hooks/use-filtered-flows.tsx
new file mode 100644
index 00000000000..96b1757ffbe
--- /dev/null
+++ b/src/frontend/src/pages/MainPage/components/componentsComponent/hooks/use-filtered-flows.tsx
@@ -0,0 +1,27 @@
+import cloneDeep from "lodash/cloneDeep";
+import { useEffect } from "react";
+
+const useFilteredFlows = (
+  flowsFromFolder,
+  searchFlowsComponents,
+  setAllFlows,
+) => {
+  useEffect(() => {
+    const newFlows = cloneDeep(flowsFromFolder || []);
+    const filteredFlows = newFlows.filter(
+      (f) =>
+        f.name.toLowerCase().includes(searchFlowsComponents.toLowerCase()) ||
+        f.description
+          .toLowerCase()
+          .includes(searchFlowsComponents.toLowerCase()),
+    );
+
+    if (searchFlowsComponents === "") {
+      setAllFlows(flowsFromFolder);
+    } else {
+      setAllFlows(filteredFlows);
+    }
+  }, [flowsFromFolder, searchFlowsComponents, setAllFlows]);
+};
+
+export default useFilteredFlows;
diff --git a/src/frontend/src/pages/MainPage/components/componentsComponent/hooks/use-handle-duplicate.tsx b/src/frontend/src/pages/MainPage/components/componentsComponent/hooks/use-handle-duplicate.tsx
new file mode 100644
index 00000000000..fc49fc0d102
--- /dev/null
+++ b/src/frontend/src/pages/MainPage/components/componentsComponent/hooks/use-handle-duplicate.tsx
@@ -0,0 +1,53 @@
+import { useCallback } from "react";
+
+const useDuplicateFlows = (
+  selectedFlowsComponentsCards,
+  addFlow,
+  allFlows,
+  resetFilter,
+  getFoldersApi,
+  folderId,
+  myCollectionId,
+  getFolderById,
+  setSuccessData,
+  setSelectedFlowsComponentsCards,
+  handleSelectAll,
+  cardTypes,
+) => {
+  const handleDuplicate = useCallback(() => {
+    Promise.all(
+      selectedFlowsComponentsCards.map((selectedFlow) =>
+        addFlow(
+          true,
+          allFlows.find((flow) => flow.id === selectedFlow),
+        ),
+      ),
+    ).then(() => {
+      resetFilter();
+      getFoldersApi(true);
+      if (!folderId || folderId === myCollectionId) {
+        getFolderById(folderId ? folderId : myCollectionId);
+      }
+      setSuccessData({ title: `${cardTypes} duplicated successfully` });
+      setSelectedFlowsComponentsCards([]);
+      handleSelectAll(false);
+    });
+  }, [
+    selectedFlowsComponentsCards,
+    addFlow,
+    allFlows,
+    resetFilter,
+    getFoldersApi,
+    folderId,
+    myCollectionId,
+    getFolderById,
+    setSuccessData,
+    setSelectedFlowsComponentsCards,
+    handleSelectAll,
+    cardTypes,
+  ]);
+
+  return { handleDuplicate };
+};
+
+export default useDuplicateFlows;
diff --git a/src/frontend/src/pages/MainPage/components/componentsComponent/hooks/use-handle-export.tsx b/src/frontend/src/pages/MainPage/components/componentsComponent/hooks/use-handle-export.tsx
new file mode 100644
index 00000000000..8edabc14611
--- /dev/null
+++ b/src/frontend/src/pages/MainPage/components/componentsComponent/hooks/use-handle-export.tsx
@@ -0,0 +1,51 @@
+import { useCallback } from "react";
+
+const useExportFlows = (
+  selectedFlowsComponentsCards,
+  allFlows,
+  downloadFlow,
+  removeApiKeys,
+  version,
+  setSuccessData,
+  setSelectedFlowsComponentsCards,
+  handleSelectAll,
+  cardTypes,
+) => {
+  const handleExport = useCallback(() => {
+    selectedFlowsComponentsCards.forEach((selectedFlowId) => {
+      const selectedFlow = allFlows.find((flow) => flow.id === selectedFlowId);
+      if (selectedFlow) {
+        downloadFlow(
+          removeApiKeys({
+            id: selectedFlow.id,
+            data: selectedFlow.data,
+            description: selectedFlow.description,
+            name: selectedFlow.name,
+            last_tested_version: version,
+            endpoint_name: selectedFlow.endpoint_name,
+            is_component: false,
+          }),
+          selectedFlow.name,
+          selectedFlow.description,
+        );
+      }
+    });
+    setSuccessData({ title: `${cardTypes} exported successfully` });
+    setSelectedFlowsComponentsCards([]);
+    handleSelectAll(false);
+  }, [
+    selectedFlowsComponentsCards,
+    allFlows,
+    downloadFlow,
+    removeApiKeys,
+    version,
+    setSuccessData,
+    setSelectedFlowsComponentsCards,
+    handleSelectAll,
+    cardTypes,
+  ]);
+
+  return { handleExport };
+};
+
+export default useExportFlows;
diff --git a/src/frontend/src/pages/MainPage/components/componentsComponent/hooks/use-handle-select-all.tsx b/src/frontend/src/pages/MainPage/components/componentsComponent/hooks/use-handle-select-all.tsx
new file mode 100644
index 00000000000..a81515e0a73
--- /dev/null
+++ b/src/frontend/src/pages/MainPage/components/componentsComponent/hooks/use-handle-select-all.tsx
@@ -0,0 +1,25 @@
+import { useCallback } from "react";
+
+const useSelectAll = (flowsFromFolder, getValues, setValue) => {
+  const handleSelectAll = useCallback(
+    (select) => {
+      const flowsFromFolderIds = flowsFromFolder?.map((f) => f.id);
+      if (select) {
+        Object.keys(getValues()).forEach((key) => {
+          if (!flowsFromFolderIds?.includes(key)) return;
+          setValue(key, true);
+        });
+        return;
+      }
+
+      Object.keys(getValues()).forEach((key) => {
+        setValue(key, false);
+      });
+    },
+    [flowsFromFolder, getValues, setValue],
+  );
+
+  return { handleSelectAll };
+};
+
+export default useSelectAll;
diff --git a/src/frontend/src/pages/MainPage/components/componentsComponent/hooks/use-select-options-change.tsx b/src/frontend/src/pages/MainPage/components/componentsComponent/hooks/use-select-options-change.tsx
new file mode 100644
index 00000000000..56dc204c706
--- /dev/null
+++ b/src/frontend/src/pages/MainPage/components/componentsComponent/hooks/use-select-options-change.tsx
@@ -0,0 +1,40 @@
+import { useCallback } from "react";
+
+const useSelectOptionsChange = (
+  selectedFlowsComponentsCards,
+  setErrorData,
+  setOpenDelete,
+  handleDuplicate,
+  handleExport,
+) => {
+  const handleSelectOptionsChange = useCallback(
+    (action) => {
+      const hasSelected = selectedFlowsComponentsCards?.length > 0;
+      if (!hasSelected) {
+        setErrorData({
+          title: "No items selected",
+          list: ["Please select items to delete"],
+        });
+        return;
+      }
+      if (action === "delete") {
+        setOpenDelete(true);
+      } else if (action === "duplicate") {
+        handleDuplicate();
+      } else if (action === "export") {
+        handleExport();
+      }
+    },
+    [
+      selectedFlowsComponentsCards,
+      setErrorData,
+      setOpenDelete,
+      handleDuplicate,
+      handleExport,
+    ],
+  );
+
+  return { handleSelectOptionsChange };
+};
+
+export default useSelectOptionsChange;
diff --git a/src/frontend/src/pages/MainPage/components/componentsComponent/hooks/use-selected-flows.tsx b/src/frontend/src/pages/MainPage/components/componentsComponent/hooks/use-selected-flows.tsx
new file mode 100644
index 00000000000..b6f00934ed2
--- /dev/null
+++ b/src/frontend/src/pages/MainPage/components/componentsComponent/hooks/use-selected-flows.tsx
@@ -0,0 +1,18 @@
+import { useEffect } from "react";
+
+const useSelectedFlows = (
+  entireFormValues,
+  setSelectedFlowsComponentsCards,
+) => {
+  useEffect(() => {
+    if (!entireFormValues || Object.keys(entireFormValues).length === 0) return;
+
+    const selectedFlows = Object.keys(entireFormValues).filter((key) => {
+      return entireFormValues[key] === true;
+    });
+
+    setSelectedFlowsComponentsCards(selectedFlows);
+  }, [entireFormValues, setSelectedFlowsComponentsCards]);
+};
+
+export default useSelectedFlows;
diff --git a/src/frontend/src/pages/MainPage/components/componentsComponent/index.tsx b/src/frontend/src/pages/MainPage/components/componentsComponent/index.tsx
new file mode 100644
index 00000000000..af13e2bb423
--- /dev/null
+++ b/src/frontend/src/pages/MainPage/components/componentsComponent/index.tsx
@@ -0,0 +1,289 @@
+import { useEffect, useMemo, useState } from "react";
+import { FormProvider, useForm, useWatch } from "react-hook-form";
+import { Link, useLocation, useNavigate } from "react-router-dom";
+import CollectionCardComponent from "../../../../components/cardComponent";
+import CardsWrapComponent from "../../../../components/cardsWrapComponent";
+import IconComponent from "../../../../components/genericIconComponent";
+import PaginatorComponent from "../../../../components/paginatorComponent";
+import { SkeletonCardComponent } from "../../../../components/skeletonCardComponent";
+import { Button } from "../../../../components/ui/button";
+import DeleteConfirmationModal from "../../../../modals/deleteConfirmationModal";
+import useAlertStore from "../../../../stores/alertStore";
+import { useDarkStore } from "../../../../stores/darkStore";
+import useFlowsManagerStore from "../../../../stores/flowsManagerStore";
+import { useFolderStore } from "../../../../stores/foldersStore";
+import { FlowType } from "../../../../types/flow";
+import { downloadFlow, removeApiKeys } from "../../../../utils/reactflowUtils";
+import useFileDrop from "../../hooks/use-on-file-drop";
+import { getNameByType } from "../../utils/get-name-by-type";
+import { sortFlows } from "../../utils/sort-flows";
+import EmptyComponent from "../emptyComponent";
+import HeaderComponent from "../headerComponent";
+import useDeleteMultipleFlows from "./hooks/use-delete-multiple";
+import useDescriptionModal from "./hooks/use-description-modal";
+import useFilteredFlows from "./hooks/use-filtered-flows";
+import useDuplicateFlows from "./hooks/use-handle-duplicate";
+import useExportFlows from "./hooks/use-handle-export";
+import useSelectAll from "./hooks/use-handle-select-all";
+import useSelectOptionsChange from "./hooks/use-select-options-change";
+import useSelectedFlows from "./hooks/use-selected-flows";
+
+export default function ComponentsComponent({
+  type = "all",
+}: {
+  type?: string;
+}) {
+  const uploadFlow = useFlowsManagerStore((state) => state.uploadFlow);
+  const removeFlow = useFlowsManagerStore((state) => state.removeFlow);
+  const isLoading = useFlowsManagerStore((state) => state.isLoading);
+  const setAllFlows = useFlowsManagerStore((state) => state.setAllFlows);
+  const allFlows = useFlowsManagerStore((state) => state.allFlows);
+
+  const flowsFromFolder = useFolderStore(
+    (state) => state.selectedFolder?.flows,
+  );
+
+  const setSuccessData = useAlertStore((state) => state.setSuccessData);
+  const setErrorData = useAlertStore((state) => state.setErrorData);
+  const [openDelete, setOpenDelete] = useState(false);
+  const searchFlowsComponents = useFlowsManagerStore(
+    (state) => state.searchFlowsComponents,
+  );
+
+  const setSelectedFlowsComponentsCards = useFlowsManagerStore(
+    (state) => state.setSelectedFlowsComponentsCards,
+  );
+
+  const selectedFlowsComponentsCards = useFlowsManagerStore(
+    (state) => state.selectedFlowsComponentsCards,
+  );
+
+  const [handleFileDrop] = useFileDrop(uploadFlow, type)!;
+  const [pageSize, setPageSize] = useState(20);
+  const [pageIndex, setPageIndex] = useState(1);
+  const navigate = useNavigate();
+  const location = useLocation();
+  const all: FlowType[] = sortFlows(allFlows, type);
+  const start = (pageIndex - 1) * pageSize;
+  const end = start + pageSize;
+  const data: FlowType[] = all?.slice(start, end);
+
+  const name = getNameByType(type);
+
+  const folderId = location?.state?.folderId;
+  const getFolderById = useFolderStore((state) => state.getFolderById);
+  const myCollectionId = useFolderStore((state) => state.myCollectionId);
+  const getFoldersApi = useFolderStore((state) => state.getFoldersApi);
+  const setFolderUrl = useFolderStore((state) => state.setFolderUrl);
+  const addFlow = useFlowsManagerStore((state) => state.addFlow);
+
+  const cardTypes = useMemo(() => {
+    if (window.location.pathname.includes("components")) {
+      return "Components";
+    }
+    if (window.location.pathname.includes("flows")) {
+      return "Flows";
+    }
+    return "Items";
+  }, [window.location]);
+
+  useEffect(() => {
+    setFolderUrl(folderId ?? "");
+    setSelectedFlowsComponentsCards([]);
+    handleSelectAll(false);
+    getFolderById(folderId ? folderId : myCollectionId);
+  }, [location]);
+
+  useFilteredFlows(flowsFromFolder, searchFlowsComponents, setAllFlows);
+
+  const resetFilter = () => {
+    setPageIndex(1);
+    setPageSize(20);
+  };
+
+  const { getValues, control, setValue } = useForm();
+  const entireFormValues = useWatch({ control });
+
+  const methods = useForm();
+
+  const { handleSelectAll } = useSelectAll(
+    flowsFromFolder,
+    getValues,
+    setValue,
+  );
+
+  const { handleDuplicate } = useDuplicateFlows(
+    selectedFlowsComponentsCards,
+    addFlow,
+    allFlows,
+    resetFilter,
+    getFoldersApi,
+    folderId,
+    myCollectionId,
+    getFolderById,
+    setSuccessData,
+    setSelectedFlowsComponentsCards,
+    handleSelectAll,
+    cardTypes,
+  );
+
+  const version = useDarkStore((state) => state.version);
+
+  const { handleExport } = useExportFlows(
+    selectedFlowsComponentsCards,
+    allFlows,
+    downloadFlow,
+    removeApiKeys,
+    version,
+    setSuccessData,
+    setSelectedFlowsComponentsCards,
+    handleSelectAll,
+    cardTypes,
+  );
+
+  const { handleSelectOptionsChange } = useSelectOptionsChange(
+    selectedFlowsComponentsCards,
+    setErrorData,
+    setOpenDelete,
+    handleDuplicate,
+    handleExport,
+  );
+
+  const { handleDeleteMultiple } = useDeleteMultipleFlows(
+    selectedFlowsComponentsCards,
+    removeFlow,
+    resetFilter,
+    getFoldersApi,
+    folderId,
+    myCollectionId,
+    getFolderById,
+    setSuccessData,
+    setErrorData,
+  );
+
+  useSelectedFlows(entireFormValues, setSelectedFlowsComponentsCards);
+
+  const descriptionModal = useDescriptionModal(
+    selectedFlowsComponentsCards,
+    type,
+  );
+
+  const getTotalRowsCount = () => {
+    if (type === "all") return allFlows?.length;
+
+    return allFlows?.filter(
+      (f) => (f.is_component ?? false) === (type === "component"),
+    )?.length;
+  };
+
+  return (
+    <>
+      <div className="flex w-full gap-4 pb-5">
+        {allFlows?.length > 0 && (
+          <HeaderComponent
+            handleDelete={() => handleSelectOptionsChange("delete")}
+            handleSelectAll={handleSelectAll}
+            handleDuplicate={() => handleSelectOptionsChange("duplicate")}
+            handleExport={() => handleSelectOptionsChange("export")}
+            disableFunctions={!(selectedFlowsComponentsCards?.length > 0)}
+          />
+        )}
+      </div>
+
+      <CardsWrapComponent
+        onFileDrop={handleFileDrop}
+        dragMessage={`Drag your ${name} here`}
+      >
+        <div className="flex h-full w-full flex-col justify-between">
+          <div className="flex w-full flex-col gap-4">
+            {!isLoading && data?.length === 0 ? (
+              <EmptyComponent />
+            ) : (
+              <div className="grid w-full gap-4 md:grid-cols-2 lg:grid-cols-2">
+                {isLoading === false && data?.length > 0 ? (
+                  <>
+                    {data?.map((item) => (
+                      <FormProvider {...methods} key={item.id}>
+                        <form>
+                          <CollectionCardComponent
+                            is_component={type === "component"}
+                            data={{
+                              is_component: item.is_component ?? false,
+                              ...item,
+                            }}
+                            disabled={isLoading}
+                            data-testid={"edit-flow-button-" + item.id}
+                            button={
+                              !item.is_component ? (
+                                <Link to={"/flow/" + item.id}>
+                                  <Button
+                                    tabIndex={-1}
+                                    variant="outline"
+                                    size="sm"
+                                    className="whitespace-nowrap"
+                                    data-testid={"edit-flow-button-" + item.id}
+                                  >
+                                    <IconComponent
+                                      name="ExternalLink"
+                                      className="main-page-nav-button select-none"
+                                    />
+                                    Edit Flow
+                                  </Button>
+                                </Link>
+                              ) : (
+                                <></>
+                              )
+                            }
+                            onClick={
+                              !item.is_component
+                                ? () => {
+                                    navigate("/flow/" + item.id);
+                                  }
+                                : undefined
+                            }
+                            playground={!item.is_component}
+                            control={control}
+                          />
+                        </form>
+                      </FormProvider>
+                    ))}
+                  </>
+                ) : (
+                  <>
+                    <SkeletonCardComponent />
+                    <SkeletonCardComponent />
+                  </>
+                )}
+              </div>
+            )}
+          </div>
+          {!isLoading && data?.length > 0 && (
+            <div className="relative py-6">
+              <PaginatorComponent
+                storeComponent={true}
+                pageIndex={pageIndex}
+                pageSize={pageSize}
+                rowsCount={[10, 20, 50, 100]}
+                totalRowsCount={getTotalRowsCount()}
+                paginate={(pageSize, pageIndex) => {
+                  setPageIndex(pageIndex);
+                  setPageSize(pageSize);
+                }}
+              ></PaginatorComponent>
+            </div>
+          )}
+        </div>
+      </CardsWrapComponent>
+      {openDelete && (
+        <DeleteConfirmationModal
+          open={openDelete}
+          setOpen={setOpenDelete}
+          onConfirm={handleDeleteMultiple}
+          description={descriptionModal}
+        >
+          <></>
+        </DeleteConfirmationModal>
+      )}
+    </>
+  );
+}
diff --git a/src/frontend/src/pages/MainPage/components/emptyComponent/index.tsx b/src/frontend/src/pages/MainPage/components/emptyComponent/index.tsx
new file mode 100644
index 00000000000..ef1b406d6ea
--- /dev/null
+++ b/src/frontend/src/pages/MainPage/components/emptyComponent/index.tsx
@@ -0,0 +1,40 @@
+import { useState } from "react";
+import { useNavigate } from "react-router-dom";
+import NewFlowModal from "../../../../modals/newFlowModal";
+import useFlowsManagerStore from "../../../../stores/flowsManagerStore";
+
+type EmptyComponentProps = {};
+
+const EmptyComponent = ({}: EmptyComponentProps) => {
+  const addFlow = useFlowsManagerStore((state) => state.addFlow);
+  const navigate = useNavigate();
+
+  const [openModal, setOpenModal] = useState(false);
+
+  return (
+    <>
+      <div className="mt-2 flex w-full items-center justify-center text-center">
+        <div className="flex-max-width h-full flex-col">
+          <div className="align-center flex w-full justify-center gap-1">
+            <span className="text-muted-foreground">
+              This folder is empty. New?
+            </span>
+            <span className="transition-colors hover:text-muted-foreground">
+              <NewFlowModal open={openModal} setOpen={setOpenModal} />
+              <button
+                onClick={() => {
+                  setOpenModal(true);
+                }}
+                className="underline"
+              >
+                Start Here
+              </button>
+            </span>
+            <span className="animate-pulse">🚀</span>
+          </div>
+        </div>
+      </div>
+    </>
+  );
+};
+export default EmptyComponent;
diff --git a/src/frontend/src/pages/MainPage/components/headerComponent/index.tsx b/src/frontend/src/pages/MainPage/components/headerComponent/index.tsx
new file mode 100644
index 00000000000..cdd152229bb
--- /dev/null
+++ b/src/frontend/src/pages/MainPage/components/headerComponent/index.tsx
@@ -0,0 +1,118 @@
+import { useState } from "react";
+import IconComponent from "../../../../components/genericIconComponent";
+import ShadTooltip from "../../../../components/shadTooltipComponent";
+import { Button } from "../../../../components/ui/button";
+import { Checkbox } from "../../../../components/ui/checkbox";
+import { cn } from "../../../../utils/utils";
+
+type HeaderComponentProps = {
+  handleSelectAll: (select) => void;
+  handleDelete: () => void;
+  handleDuplicate: () => void;
+  handleExport: () => void;
+  disableFunctions: boolean;
+};
+
+const HeaderComponent = ({
+  handleSelectAll,
+  handleDelete,
+  handleDuplicate,
+  handleExport,
+  disableFunctions,
+}: HeaderComponentProps) => {
+  const [shouldSelectAll, setShouldSelectAll] = useState(true);
+
+  const handleClick = () => {
+    handleSelectAll(shouldSelectAll);
+    setShouldSelectAll((prevState) => !prevState);
+  };
+
+  return (
+    <>
+      <div className="flex w-full items-center justify-between gap-4">
+        <div className="flex items-center justify-self-start">
+          <a onClick={handleClick} className="cursor-pointer text-sm">
+            <div className="flex items-center space-x-2">
+              <Checkbox checked={!shouldSelectAll} id="terms" />
+              <span className="label text-sm font-medium leading-none peer-disabled:cursor-not-allowed peer-disabled:opacity-70">
+                {shouldSelectAll ? "Select All" : "Unselect All"}
+              </span>
+            </div>
+          </a>
+        </div>
+        <div className="flex items-center gap-2">
+          <div>
+            <ShadTooltip
+              content={
+                disableFunctions ? (
+                  <span>Select items to export</span>
+                ) : (
+                  <span>Export selected items</span>
+                )
+              }
+            >
+              <Button
+                unstyled
+                onClick={handleExport}
+                disabled={disableFunctions}
+              >
+                <IconComponent
+                  name="FileDown"
+                  className={cn("h-5 w-5 text-primary transition-all")}
+                />
+              </Button>
+            </ShadTooltip>
+          </div>
+          <div>
+            <ShadTooltip
+              content={
+                disableFunctions ? (
+                  <span>Select items to duplicate</span>
+                ) : (
+                  <span>Duplicate selected items</span>
+                )
+              }
+            >
+              <Button
+                unstyled
+                onClick={handleDuplicate}
+                disabled={disableFunctions}
+              >
+                <IconComponent
+                  name="Copy"
+                  className={cn("h-5 w-5 text-primary transition-all")}
+                />
+              </Button>
+            </ShadTooltip>
+          </div>
+          <div>
+            <ShadTooltip
+              content={
+                disableFunctions ? (
+                  <span>Select items to delete</span>
+                ) : (
+                  <span>Delete selected items</span>
+                )
+              }
+            >
+              <Button
+                unstyled
+                onClick={handleDelete}
+                disabled={disableFunctions}
+              >
+                <IconComponent
+                  name="Trash2"
+                  className={cn(
+                    "h-5 w-5 text-primary transition-all",
+                    disableFunctions ? "" : "hover:text-status-red",
+                  )}
+                />
+              </Button>
+            </ShadTooltip>
+          </div>
+        </div>
+      </div>
+    </>
+  );
+};
+export default HeaderComponent;
diff --git a/src/frontend/src/pages/MainPage/components/modalsComponent/index.tsx b/src/frontend/src/pages/MainPage/components/modalsComponent/index.tsx
new file mode 100644
index 00000000000..496dfe2864f
--- /dev/null
+++ b/src/frontend/src/pages/MainPage/components/modalsComponent/index.tsx
@@ -0,0 +1,58 @@
+// Modals.tsx
+import IconComponent from "../../../../components/genericIconComponent";
+import { Button } from "../../../../components/ui/button";
+import DeleteConfirmationModal from "../../../../modals/deleteConfirmationModal";
+import FoldersModal from "../../../../modals/foldersModal";
+import NewFlowModal from "../../../../modals/newFlowModal";
+import { cn } from "../../../../utils/utils";
+
+interface ModalsProps {
+  openModal: boolean;
+  setOpenModal: (value: boolean) => void;
+  openFolderModal: boolean;
+  setOpenFolderModal: (value: boolean) => void;
+  openDeleteFolderModal: boolean;
+  setOpenDeleteFolderModal: (value: boolean) => void;
+  handleDeleteFolder: () => void;
+}
+
+const ModalsComponent = ({
+  openModal,
+  setOpenModal,
+  openFolderModal,
+  setOpenFolderModal,
+  openDeleteFolderModal,
+  setOpenDeleteFolderModal,
+  handleDeleteFolder,
+}: ModalsProps) => (
+  <>
+    {openModal && <NewFlowModal open={openModal} setOpen={setOpenModal} />}
+    {openFolderModal && (
+      <FoldersModal open={openFolderModal} setOpen={setOpenFolderModal} />
+    )}
+    {openDeleteFolderModal && (
+      <DeleteConfirmationModal
+        open={openDeleteFolderModal}
+        setOpen={setOpenDeleteFolderModal}
+        onConfirm={() => {
+          handleDeleteFolder();
+          setOpenDeleteFolderModal(false);
+        }}
+        description="folder"
+        note={
+          "Deleting the selected folder will remove all associated flows and components."
+        }
+      >
+        <Button variant="ghost" size="icon" className={"whitespace-nowrap"}>
+          <IconComponent
+            data-testid={`delete-folder`}
+            name="Trash2"
+            className={cn("h-5 w-5")}
+          />
+        </Button>
+      </DeleteConfirmationModal>
+    )}
+  </>
+);
+
+export default ModalsComponent;
diff --git a/src/frontend/src/pages/MainPage/components/myCollectionComponent/components/headerTabsSearchComponent/index.tsx b/src/frontend/src/pages/MainPage/components/myCollectionComponent/components/headerTabsSearchComponent/index.tsx
new file mode 100644
index 00000000000..c6ceb44c722
--- /dev/null
+++ b/src/frontend/src/pages/MainPage/components/myCollectionComponent/components/headerTabsSearchComponent/index.tsx
@@ -0,0 +1,43 @@
+import { useState } from "react";
+import useFlowsManagerStore from "../../../../../../stores/flowsManagerStore";
+import InputSearchComponent from "../inputSearchComponent";
+import TabsSearchComponent from "../tabsComponent";
+
+type HeaderTabsSearchComponentProps = {};
+
+const HeaderTabsSearchComponent = ({}: HeaderTabsSearchComponentProps) => {
+  const isLoading = useFlowsManagerStore((state) => state.isLoading);
+  const [tabActive, setTabActive] = useState("Flows");
+  const [inputValue, setInputValue] = useState("");
+
+  const setSearchFlowsComponents = useFlowsManagerStore(
+    (state) => state.setSearchFlowsComponents,
+  );
+
+  return (
+    <>
+      <div className="relative flex items-end gap-4">
+        <InputSearchComponent
+          loading={isLoading}
+          value={inputValue}
+          onChange={(e) => {
+            setSearchFlowsComponents(e.target.value);
+            setInputValue(e.target.value);
+          }}
+          onKeyDown={(e) => {
+            if (e.key === "Enter") {
+              setSearchFlowsComponents(inputValue);
+            }
+          }}
+        />
+        <TabsSearchComponent
+          tabsOptions={["All", "Flows", "Components"]}
+          setActiveTab={setTabActive}
+          loading={isLoading}
+          tabActive={tabActive}
+        />
+      </div>
+    </>
+  );
+};
+export default HeaderTabsSearchComponent;
diff --git a/src/frontend/src/pages/MainPage/components/myCollectionComponent/components/inputSearchComponent/index.tsx b/src/frontend/src/pages/MainPage/components/myCollectionComponent/components/inputSearchComponent/index.tsx
new file mode 100644
index 00000000000..898ad84a86e
--- /dev/null
+++ b/src/frontend/src/pages/MainPage/components/myCollectionComponent/components/inputSearchComponent/index.tsx
@@ -0,0 +1,71 @@
+import { ChangeEvent, KeyboardEvent } from "react";
+import ForwardedIconComponent from "../../../../../../components/genericIconComponent";
+import { Input } from "../../../../../../components/ui/input";
+import useFlowsManagerStore from "../../../../../../stores/flowsManagerStore";
+
+type InputSearchComponentProps = {
+  loading: boolean;
+  divClasses?: string;
+  onChange: (e: ChangeEvent<HTMLInputElement>) => void;
+  onClick?: () => void;
+  value: string;
+  onKeyDown: (e: KeyboardEvent<HTMLInputElement>) => void;
+};
+
+const InputSearchComponent = ({
+  loading,
+  divClasses,
+  onChange,
+  onClick,
+  value,
+  onKeyDown,
+}: InputSearchComponentProps) => {
+  const pagePath = window.location.pathname;
+  const allFlows = useFlowsManagerStore((state) => state.allFlows);
+  const searchFlowsComponents = useFlowsManagerStore(
+    (state) => state.searchFlowsComponents,
+  );
+
+  const disableInputSearch =
+    loading ||
+    !allFlows ||
+    (allFlows?.length === 0 && searchFlowsComponents === "");
+
+  const getSearchPlaceholder = () => {
+    if (pagePath.includes("flows")) {
+      return "Search Flows";
+    } else if (pagePath.includes("components")) {
+      return "Search Components";
+    } else {
+      return "Search Flows and Components";
+    }
+  };
+
+  return (
+    <>
+      <div className={`${divClasses ? divClasses : "relative h-12 w-[60%]"}`}>
+        <Input
+          data-testid="search-store-input"
+          disabled={disableInputSearch}
+          placeholder={getSearchPlaceholder()}
+          className="absolute h-12 pl-5 pr-12"
+          onChange={onChange}
+          onKeyDown={onKeyDown}
+          value={value}
+        />
+        <button
+          onClick={onClick}
+          disabled={loading}
+          className="absolute bottom-0 right-4 top-0 my-auto h-6 cursor-pointer stroke-1 text-muted-foreground"
+          data-testid="search-store-button"
+        >
+          <ForwardedIconComponent
+            name={loading ? "Loader2" : "Search"}
+            className={loading ? "animate-spin cursor-not-allowed" : ""}
+          />
+        </button>
+      </div>
+    </>
+  );
+};
+export default InputSearchComponent;
diff --git a/src/frontend/src/pages/MainPage/components/myCollectionComponent/components/tabsComponent/index.tsx b/src/frontend/src/pages/MainPage/components/myCollectionComponent/components/tabsComponent/index.tsx
new file mode 100644
index 00000000000..3bf83532c4e
--- /dev/null
+++ b/src/frontend/src/pages/MainPage/components/myCollectionComponent/components/tabsComponent/index.tsx
@@ -0,0 +1,77 @@
+import { useEffect } from "react";
+import { useNavigate } from "react-router-dom";
+import { useFolderStore } from "../../../../../../stores/foldersStore";
+
+type TabsSearchComponentProps = {
+  tabsOptions: string[];
+  setActiveTab: (tab: string) => void;
+  loading: boolean;
+  tabActive: string;
+};
+
+const TabsSearchComponent = ({
+  tabsOptions,
+  setActiveTab,
+  loading,
+  tabActive,
+}: TabsSearchComponentProps) => {
+  const navigate = useNavigate();
+  const folderUrl = useFolderStore((state) => state.folderUrl);
+
+  const changeLocation = (tabOption) => {
+    const location = window.location.pathname;
+    let newLocation = "";
+    switch (tabOption) {
+      case "Flows":
+        newLocation = location.replace(/components|all/, "flows");
+        break;
+      case "Components":
+        newLocation = location.replace(/flows|all/, "components");
+        break;
+      default:
+        newLocation = location.replace(/flows|components/, "all");
+        break;
+    }
+
+    navigate(newLocation, { state: { folderId: folderUrl } });
+  };
+
+  useEffect(() => {
+    const path = window.location.pathname;
+    if (path.includes("components")) {
+      setActiveTab("Components");
+    } else if (path.includes("flows")) {
+      setActiveTab("Flows");
+    } else {
+      setActiveTab("All");
+    }
+  }, [window.location.pathname]);
+
+  return (
+    <>
+      <div className="ml-4 flex w-full gap-2 border-b border-border">
+        {tabsOptions.map((tabOption, index) => {
+          return (
+            <button
+              key={index}
+              data-testid={`${tabOption}-button-store`}
+              disabled={loading}
+              onClick={() => {
+                changeLocation(tabOption);
+              }}
+              className={
+                (tabActive === tabOption
+                  ? "border-b-2 border-primary p-3"
+                  : "border-b-2 border-transparent p-3 text-muted-foreground hover:text-primary") +
+                (loading ? " cursor-not-allowed" : "")
+              }
+            >
+              {tabOption}
+            </button>
+          );
+        })}
+      </div>
+    </>
+  );
+};
+export default TabsSearchComponent;
diff --git a/src/frontend/src/pages/MainPage/components/myCollectionComponent/index.tsx b/src/frontend/src/pages/MainPage/components/myCollectionComponent/index.tsx
new file mode 100644
index 00000000000..c58e1cd12f3
--- /dev/null
+++ b/src/frontend/src/pages/MainPage/components/myCollectionComponent/index.tsx
@@ -0,0 +1,18 @@
+import ComponentsComponent from "../componentsComponent";
+import HeaderTabsSearchComponent from "./components/headerTabsSearchComponent";
+
+type MyCollectionComponentProps = {
+  type: string;
+};
+
+const MyCollectionComponent = ({ type }: MyCollectionComponentProps) => {
+  return (
+    <>
+      <HeaderTabsSearchComponent />
+      <div className="mt-5 flex h-full flex-col">
+        <ComponentsComponent key={type} type={type} />
+      </div>
+    </>
+  );
+};
+export default MyCollectionComponent;
diff --git a/src/frontend/src/pages/MainPage/entities/index.tsx b/src/frontend/src/pages/MainPage/entities/index.tsx
new file mode 100644
index 00000000000..8c46764ff96
--- /dev/null
+++ b/src/frontend/src/pages/MainPage/entities/index.tsx
@@ -0,0 +1,27 @@
+import { FlowType } from "../../../types/flow";
+
+export type FolderType = {
+  name: string;
+  description: string;
+  id?: string | null;
+  parent_id: string;
+  flows: FlowType[];
+  components: string[];
+};
+
+export type AddFolderType = {
+  name: string;
+  description: string;
+  id?: string | null;
+  parent_id: string | null;
+  flows?: string[];
+  components?: string[];
+};
+
+export type StarterProjectsType = {
+  name?: string;
+  description?: string;
+  flows?: FlowType[];
+  id: string;
+  parent_id: string;
+};
diff --git a/src/frontend/src/pages/MainPage/hooks/use-delete-folder.tsx b/src/frontend/src/pages/MainPage/hooks/use-delete-folder.tsx
new file mode 100644
index 00000000000..0d093bc3263
--- /dev/null
+++ b/src/frontend/src/pages/MainPage/hooks/use-delete-folder.tsx
@@ -0,0 +1,33 @@
+import useAlertStore from "../../../stores/alertStore";
+import { useFolderStore } from "../../../stores/foldersStore";
+import { deleteFolder, getFolderById } from "../services";
+
+const useDeleteFolder = ({ navigate }) => {
+  const setSuccessData = useAlertStore((state) => state.setSuccessData);
+  const setErrorData = useAlertStore((state) => state.setErrorData);
+  const folderToEdit = useFolderStore((state) => state.folderToEdit);
+  const myCollectionId = useFolderStore((state) => state.myCollectionId);
+  const getFoldersApi = useFolderStore((state) => state.getFoldersApi);
+
+  const handleDeleteFolder = () => {
+    deleteFolder(folderToEdit?.id!)
+      .then(() => {
+        setSuccessData({
+          title: "Folder deleted successfully.",
+        });
+        getFolderById(myCollectionId!);
+        getFoldersApi(true);
+        navigate("/all");
+      })
+      .catch((err) => {
+        console.error(err);
+        setErrorData({
+          title: "Error deleting folder.",
+        });
+      });
+  };
+
+  return { handleDeleteFolder };
+};
+
+export default useDeleteFolder;
diff --git a/src/frontend/src/pages/MainPage/hooks/use-dropdown-options.tsx b/src/frontend/src/pages/MainPage/hooks/use-dropdown-options.tsx
new file mode 100644
index 00000000000..69e2c2df3fb
--- /dev/null
+++ b/src/frontend/src/pages/MainPage/hooks/use-dropdown-options.tsx
@@ -0,0 +1,36 @@
+import { CONSOLE_ERROR_MSG } from "../../../constants/alerts_constants";
+import useAlertStore from "../../../stores/alertStore";
+
+const useDropdownOptions = ({ uploadFlow, navigate, is_component }) => {
+  const setSuccessData = useAlertStore((state) => state.setSuccessData);
+  const setErrorData = useAlertStore((state) => state.setErrorData);
+  const handleImportFromJSON = () => {
+    uploadFlow({
+      newProject: true,
+      isComponent: is_component,
+    })
+      .then((id) => {
+        setSuccessData({
+          title: `${is_component ? "Component" : "Flow"} uploaded successfully`,
+        });
+        if (!is_component) navigate("/flow/" + id);
+      })
+      .catch((error) => {
+        setErrorData({
+          title: CONSOLE_ERROR_MSG,
+          list: [error],
+        });
+      });
+  };
+
+  const dropdownOptions = [
+    {
+      name: "Import from JSON",
+      onBtnClick: handleImportFromJSON,
+    },
+  ];
+
+  return [...dropdownOptions];
+};
+
+export default useDropdownOptions;
diff --git a/src/frontend/src/pages/MainPage/hooks/use-on-file-drop.tsx b/src/frontend/src/pages/MainPage/hooks/use-on-file-drop.tsx
new file mode 100644
index 00000000000..c0b898dfadd
--- /dev/null
+++ b/src/frontend/src/pages/MainPage/hooks/use-on-file-drop.tsx
@@ -0,0 +1,64 @@
+import { useLocation } from "react-router-dom";
+import {
+  CONSOLE_ERROR_MSG,
+  UPLOAD_ALERT_LIST,
+  WRONG_FILE_ERROR_ALERT,
+} from "../../../constants/alerts_constants";
+import useAlertStore from "../../../stores/alertStore";
+import { useFolderStore } from "../../../stores/foldersStore";
+
+const useFileDrop = (uploadFlow, type) => {
+  const location = useLocation();
+  const setSuccessData = useAlertStore((state) => state.setSuccessData);
+  const setErrorData = useAlertStore((state) => state.setErrorData);
+  const getFolderById = useFolderStore((state) => state.getFolderById);
+  const folderId = location?.state?.folderId;
+  const myCollectionId = useFolderStore((state) => state.myCollectionId);
+
+  const handleFileDrop = (e) => {
+    e.preventDefault();
+    if (e.dataTransfer.types.some((type) => type === "Files")) {
+      const file = e.dataTransfer.files.item(0);
+
+      if (file.type === "application/json") {
+        const reader = new FileReader();
+
+        reader.onload = (event) => {
+          const fileContent = event.target!.result;
+          const fileContentJson = JSON.parse(fileContent as string);
+          const is_component = fileContentJson.is_component;
+          uploadFlow({
+            newProject: true,
+            file: file,
+            isComponent: type === "all" ? null : type === "component",
+          })
+            .then(() => {
+              setSuccessData({
+                title: `${
+                  is_component ? "Component" : "Flow"
+                } uploaded successfully`,
+              });
+              getFolderById(folderId ? folderId : myCollectionId);
+            })
+            .catch((error) => {
+              setErrorData({
+                title: CONSOLE_ERROR_MSG,
+                list: [error],
+              });
+            });
+        };
+
+        reader.readAsText(file);
+      } else {
+        setErrorData({
+          title: WRONG_FILE_ERROR_ALERT,
+          list: [UPLOAD_ALERT_LIST],
+        });
+      }
+    }
+  };
+
+  return [handleFileDrop];
+};
+
+export default useFileDrop;
diff --git a/src/frontend/src/pages/MainPage/index.tsx b/src/frontend/src/pages/MainPage/index.tsx
deleted file mode 100644
index 6e0c5cb55b8..00000000000
--- a/src/frontend/src/pages/MainPage/index.tsx
+++ /dev/null
@@ -1,117 +0,0 @@
-import { Group, ToyBrick } from "lucide-react";
-import { useEffect } from "react";
-import { Outlet, useLocation, useNavigate } from "react-router-dom";
-import DropdownButton from "../../components/DropdownButtonComponent";
-import IconComponent from "../../components/genericIconComponent";
-import PageLayout from "../../components/pageLayout";
-import SidebarNav from "../../components/sidebarComponent";
-import { Button } from "../../components/ui/button";
-import { USER_PROJECTS_HEADER } from "../../constants/constants";
-import useAlertStore from "../../stores/alertStore";
-import useFlowsManagerStore from "../../stores/flowsManagerStore";
-import { downloadFlows } from "../../utils/reactflowUtils";
-export default function HomePage(): JSX.Element {
-  const addFlow = useFlowsManagerStore((state) => state.addFlow);
-  const uploadFlow = useFlowsManagerStore((state) => state.uploadFlow);
-  const setCurrentFlowId = useFlowsManagerStore(
-    (state) => state.setCurrentFlowId
-  );
-  const uploadFlows = useFlowsManagerStore((state) => state.uploadFlows);
-  const setSuccessData = useAlertStore((state) => state.setSuccessData);
-  const setErrorData = useAlertStore((state) => state.setErrorData);
-  const location = useLocation();
-  const pathname = location.pathname;
-  const is_component = pathname === "/components";
-  const dropdownOptions = [
-    {
-      name: "Import from JSON",
-      onBtnClick: () => {
-        uploadFlow({
-          newProject: true,
-          isComponent: is_component,
-        })
-          .then((id) => {
-            setSuccessData({
-              title: `${
-                is_component ? "Component" : "Flow"
-              } uploaded successfully`,
-            });
-            if (!is_component) navigate("/flow/" + id);
-          })
-          .catch((error) => {
-            setErrorData({
-              title: "Error uploading file",
-              list: [error],
-            });
-          });
-      },
-    },
-  ];
-  const sidebarNavItems = [
-    {
-      title: "Flows",
-      href: "/flows",
-      icon: <Group className="w-5 stroke-[1.5]" />,
-    },
-    {
-      title: "Components",
-      href: "/components",
-      icon: <ToyBrick className="mx-[0.08rem] w-[1.1rem] stroke-[1.5]" />,
-    },
-  ];
-
-  // Set a null id
-  useEffect(() => {
-    setCurrentFlowId("");
-  }, [pathname]);
-
-  const navigate = useNavigate();
-
-  // Personal flows display
-  return (
-    <PageLayout
-      title={USER_PROJECTS_HEADER}
-      description="Manage your personal projects. Download or upload your collection."
-      button={
-        <div className="flex gap-2">
-          <Button
-            variant="primary"
-            onClick={() => {
-              downloadFlows();
-            }}
-          >
-            <IconComponent name="Download" className="main-page-nav-button" />
-            Download Collection
-          </Button>
-          <Button
-            variant="primary"
-            onClick={() => {
-              uploadFlows();
-            }}
-          >
-            <IconComponent name="Upload" className="main-page-nav-button" />
-            Upload Collection
-          </Button>
-          <DropdownButton
-            firstButtonName="New Project"
-            onFirstBtnClick={() => {
-              addFlow(true).then((id) => {
-                navigate("/flow/" + id);
-              });
-            }}
-            options={dropdownOptions}
-          />
-        </div>
-      }
-    >
-      <div className="flex h-full w-full space-y-8 lg:flex-row lg:space-x-8 lg:space-y-0">
-        <aside className="flex h-full flex-col space-y-6 lg:w-1/5">
-          <SidebarNav items={sidebarNavItems} />
-        </aside>
-        <div className="h-full w-full flex-1">
-          <Outlet />
-        </div>
-      </div>
-    </PageLayout>
-  );
-}
diff --git a/src/frontend/src/pages/MainPage/pages/mainPage/index.tsx b/src/frontend/src/pages/MainPage/pages/mainPage/index.tsx
new file mode 100644
index 00000000000..6b4892d6036
--- /dev/null
+++ b/src/frontend/src/pages/MainPage/pages/mainPage/index.tsx
@@ -0,0 +1,94 @@
+import { useEffect, useState } from "react";
+import { Outlet, useLocation, useNavigate } from "react-router-dom";
+import DropdownButton from "../../../../components/dropdownButtonComponent";
+import PageLayout from "../../../../components/pageLayout";
+import SidebarNav from "../../../../components/sidebarComponent";
+import {
+  MY_COLLECTION_DESC,
+  USER_PROJECTS_HEADER,
+} from "../../../../constants/constants";
+import useFlowsManagerStore from "../../../../stores/flowsManagerStore";
+import { useFolderStore } from "../../../../stores/foldersStore";
+import ModalsComponent from "../../components/modalsComponent";
+import useDeleteFolder from "../../hooks/use-delete-folder";
+import useDropdownOptions from "../../hooks/use-dropdown-options";
+
+export default function HomePage(): JSX.Element {
+  const uploadFlow = useFlowsManagerStore((state) => state.uploadFlow);
+  const setCurrentFlowId = useFlowsManagerStore(
+    (state) => state.setCurrentFlowId,
+  );
+
+  const location = useLocation();
+  const pathname = location.pathname;
+  const [openModal, setOpenModal] = useState(false);
+  const [openFolderModal, setOpenFolderModal] = useState(false);
+  const [openDeleteFolderModal, setOpenDeleteFolderModal] = useState(false);
+  const is_component = pathname === "/components";
+  const setFolderToEdit = useFolderStore((state) => state.setFolderToEdit);
+  const navigate = useNavigate();
+
+  useEffect(() => {
+    setCurrentFlowId("");
+  }, [pathname]);
+
+  const dropdownOptions = useDropdownOptions({
+    uploadFlow,
+    navigate,
+    is_component,
+  });
+
+  const { handleDeleteFolder } = useDeleteFolder({ navigate });
+
+  return (
+    <>
+      <PageLayout
+        title={USER_PROJECTS_HEADER}
+        description={MY_COLLECTION_DESC}
+        button={
+          <div className="flex gap-2">
+            <DropdownButton
+              firstButtonName="New Project"
+              onFirstBtnClick={() => setOpenModal(true)}
+              options={dropdownOptions}
+              plusButton={true}
+              dropdownOptions={false}
+            />
+          </div>
+        }
+      >
+        <div className="flex h-full w-full space-y-8 md:flex-col lg:flex-row lg:space-x-8 lg:space-y-0">
+          <aside className="flex h-fit w-fit flex-col space-y-6">
+            <SidebarNav
+              items={[]}
+              handleChangeFolder={(id: string) => {
+                navigate(`all/folder/${id}`, { state: { folderId: id } });
+              }}
+              handleEditFolder={(item) => {
+                setFolderToEdit(item);
+                setOpenFolderModal(true);
+              }}
+              handleDeleteFolder={(item) => {
+                setFolderToEdit(item);
+                setOpenDeleteFolderModal(true);
+              }}
+              className="w-[20vw]"
+            />
+          </aside>
+          <div className="relative h-full w-full flex-1">
+            <Outlet />
+          </div>
+        </div>
+      </PageLayout>
+      <ModalsComponent
+        openModal={openModal}
+        setOpenModal={setOpenModal}
+        openFolderModal={openFolderModal}
+        setOpenFolderModal={setOpenFolderModal}
+        openDeleteFolderModal={openDeleteFolderModal}
+        setOpenDeleteFolderModal={setOpenDeleteFolderModal}
+        handleDeleteFolder={handleDeleteFolder}
+      />
+    </>
+  );
+}
diff --git a/src/frontend/src/pages/MainPage/services/index.ts b/src/frontend/src/pages/MainPage/services/index.ts
new file mode 100644
index 00000000000..3e1286d5ef1
--- /dev/null
+++ b/src/frontend/src/pages/MainPage/services/index.ts
@@ -0,0 +1,112 @@
+import { BASE_URL_API } from "../../../constants/constants";
+import { api } from "../../../controllers/API/api";
+import { FlowType } from "../../../types/flow";
+import { AddFolderType, FolderType } from "../entities";
+
+export async function getFolders(): Promise<FolderType[]> {
+  try {
+    const response = await api.get(`${BASE_URL_API}folders/`);
+    return response?.data;
+  } catch (error) {
+    throw error;
+  }
+}
+
+export async function addFolder(data: AddFolderType): Promise<FolderType> {
+  const body = {
+    name: data.name,
+    description: data.description,
+    flows_list: data.flows ?? [],
+    components_list: data.components ?? [],
+  };
+
+  try {
+    const response = await api.post(`${BASE_URL_API}folders/`, body);
+    return response?.data;
+  } catch (error) {
+    throw error;
+  }
+}
+
+export async function updateFolder(
+  body: FolderType,
+  folderId: string,
+): Promise<FolderType> {
+  try {
+    const response = await api.patch(
+      `${BASE_URL_API}folders/${folderId}`,
+      body,
+    );
+    return response?.data;
+  } catch (error) {
+    throw error;
+  }
+}
+
+export async function deleteFolder(folderId: string) {
+  try {
+    const response = await api.delete(`${BASE_URL_API}folders/${folderId}`);
+    return response?.data;
+  } catch (error) {
+    throw error;
+  }
+}
+
+export async function getFolderById(folderId: string): Promise<FolderType> {
+  try {
+    const response = await api.get(`${BASE_URL_API}folders/${folderId}`);
+    return response?.data;
+  } catch (error) {
+    throw error;
+  }
+}
+
+export async function downloadFlowsFromFolders(folderId: string): Promise<{
+  flows: FlowType[];
+  folder_name: string;
+  folder_description: string;
+}> {
+  try {
+    const response = await api.get(
+      `${BASE_URL_API}folders/download/${folderId}`,
+    );
+    if (response?.status !== 200) {
+      throw new Error(`HTTP error! status: ${response?.status}`);
+    }
+    console.log(response.data);
+    return response.data;
+  } catch (error) {
+    console.error(error);
+    throw error;
+  }
+}
+
+export async function uploadFlowsFromFolders(
+  flows: FormData,
+): Promise<FlowType[]> {
+  try {
+    const response = await api.post(`${BASE_URL_API}folders/upload/`, flows);
+
+    if (response?.status !== 201) {
+      throw new Error(`HTTP error! status: ${response?.status}`);
+    }
+    return response.data;
+  } catch (error) {
+    console.error(error);
+    throw error;
+  }
+}
+
+export async function moveFlowToFolder(
+  flowId: string,
+  folderId: string,
+): Promise<FlowType> {
+  try {
+    const response = await api.patch(
+      `${BASE_URL_API}folders/move_to_folder/${flowId}/${folderId}`,
+    );
+    return response?.data;
+  } catch (error) {
+    throw error;
+  }
+}
diff --git a/src/frontend/src/pages/MainPage/utils/get-name-by-type.ts b/src/frontend/src/pages/MainPage/utils/get-name-by-type.ts
new file mode 100644
index 00000000000..a2a495fa9b8
--- /dev/null
+++ b/src/frontend/src/pages/MainPage/utils/get-name-by-type.ts
@@ -0,0 +1,10 @@
+export const getNameByType = (type: string) => {
+  switch (type) {
+    case "all":
+      return "Component or Flow";
+    case "component":
+      return "Component";
+    default:
+      return "Flow";
+  }
+};
diff --git a/src/frontend/src/pages/MainPage/utils/handle-download-folder.ts b/src/frontend/src/pages/MainPage/utils/handle-download-folder.ts
new file mode 100644
index 00000000000..6817622d095
--- /dev/null
+++ b/src/frontend/src/pages/MainPage/utils/handle-download-folder.ts
@@ -0,0 +1,23 @@
+import { useFolderStore } from "../../../stores/foldersStore";
+import { downloadFlowsFromFolders } from "../services";
+
+export function handleDownloadFolderFn(folderId: string) {
+  downloadFlowsFromFolders(folderId).then((data) => {
+    const folders = useFolderStore.getState().folders;
+
+    const folder = folders.find((f) => f.id === folderId);
+
+    data.folder_name = folder?.name || "folder";
+    data.folder_description = folder?.description || "";
+
+    const jsonString = `data:text/json;chatset=utf-8,${encodeURIComponent(
+      JSON.stringify(data),
+    )}`;
+
+    const link = document.createElement("a");
+    link.href = jsonString;
+    link.download = `${data.folder_name}.json`;
+
+    link.click();
+  });
+}
diff --git a/src/frontend/src/pages/MainPage/utils/sort-flows.ts b/src/frontend/src/pages/MainPage/utils/sort-flows.ts
new file mode 100644
index 00000000000..1b88251028d
--- /dev/null
+++ b/src/frontend/src/pages/MainPage/utils/sort-flows.ts
@@ -0,0 +1,25 @@
+export const sortFlows = (flows, type) => {
+  const isComponent = type === "component";
+
+  const sortByDate = (a, b) => {
+    const dateA = a?.updated_at || a?.date_created;
+    const dateB = b?.updated_at || b?.date_created;
+
+    if (dateA && dateB) {
+      return new Date(dateB).getTime() - new Date(dateA).getTime();
+    } else if (dateA) {
+      return 1;
+    } else if (dateB) {
+      return -1;
+    } else {
+      return 0;
+    }
+  };
+
+  const filteredFlows =
+    type === "all"
+      ? flows
+      : flows?.filter((f) => (f?.is_component ?? false) === isComponent);
+
+  return filteredFlows?.sort(sortByDate) ?? [];
+};
diff --git a/src/frontend/src/pages/Playground/index.tsx b/src/frontend/src/pages/Playground/index.tsx
new file mode 100644
index 00000000000..4ea3cc506db
--- /dev/null
+++ b/src/frontend/src/pages/Playground/index.tsx
@@ -0,0 +1,68 @@
+import { useEffect, useState } from "react";
+import { useParams } from "react-router-dom";
+import LoadingComponent from "../../components/loadingComponent";
+import { getComponent } from "../../controllers/API";
+import IOModal from "../../modals/IOModal";
+import useFlowStore from "../../stores/flowStore";
+import useFlowsManagerStore from "../../stores/flowsManagerStore";
+import cloneFLowWithParent from "../../utils/storeUtils";
+
+export default function PlaygroundPage() {
+  const currentFlow = useFlowsManagerStore((state) => state.currentFlow);
+  const getFlowById = useFlowsManagerStore((state) => state.getFlowById);
+  const setCurrentFlowId = useFlowsManagerStore(
+    (state) => state.setCurrentFlowId,
+  );
+  const currentFlowId = useFlowsManagerStore((state) => state.currentFlowId);
+  const setCurrentFlow = useFlowsManagerStore((state) => state.setCurrentFlow);
+  const setNodes = useFlowStore((state) => state.setNodes);
+  const setEdges = useFlowStore((state) => state.setEdges);
+  const cleanFlowPool = useFlowStore((state) => state.CleanFlowPool);
+
+  const { id } = useParams();
+  const [loading, setLoading] = useState(true);
+  async function getFlowData() {
+    const res = await getComponent(id!);
+    const newFlow = cloneFLowWithParent(res, res.id, false, true);
+    return newFlow;
+  }
+
+  // Set flow tab id
+  useEffect(() => {
+    if (getFlowById(id!)) {
+      setCurrentFlowId(id!);
+    } else {
+      getFlowData().then((flow) => {
+        setCurrentFlow(flow);
+      });
+    }
+  }, [id]);
+
+  useEffect(() => {
+    if (currentFlow) {
+      setNodes(currentFlow?.data?.nodes ?? [], true);
+      setEdges(currentFlow?.data?.edges ?? [], true);
+      cleanFlowPool();
+      setLoading(false);
+    }
+    return () => {
+      setNodes([], true);
+      setEdges([], true);
+      cleanFlowPool();
+    };
+  }, [currentFlow]);
+
+  return (
+    <div className="flex h-full w-full flex-col items-center justify-center align-middle">
+      {loading ? (
+        <div>
+          <LoadingComponent remSize={24}></LoadingComponent>
+        </div>
+      ) : (
+        <IOModal open={true} setOpen={() => {}} isPlayground>
+          <></>
+        </IOModal>
+      )}
+    </div>
+  );
+}
diff --git a/src/frontend/src/pages/ProfileSettingsPage/index.tsx b/src/frontend/src/pages/ProfileSettingsPage/index.tsx
index 6a5bc7b709f..5cedc584120 100644
--- a/src/frontend/src/pages/ProfileSettingsPage/index.tsx
+++ b/src/frontend/src/pages/ProfileSettingsPage/index.tsx
@@ -2,10 +2,15 @@ import * as Form from "@radix-ui/react-form";
 import { cloneDeep } from "lodash";
 import { useContext, useEffect, useState } from "react";
 import IconComponent from "../../components/genericIconComponent";
-import GradientChooserComponent from "../../components/gradientChooserComponent";
 import Header from "../../components/headerComponent";
 import InputComponent from "../../components/inputComponent";
 import { Button } from "../../components/ui/button";
+import {
+  EDIT_PASSWORD_ALERT_LIST,
+  EDIT_PASSWORD_ERROR_ALERT,
+  SAVE_ERROR_ALERT,
+  SAVE_SUCCESS_ALERT,
+} from "../../constants/alerts_constants";
 import { CONTROL_PATCH_USER_STATE } from "../../constants/constants";
 import { AuthContext } from "../../contexts/authContext";
 import { resetPassword, updateUser } from "../../controllers/API";
@@ -16,13 +21,14 @@ import {
   patchUserInputStateType,
 } from "../../types/components";
 import { gradients } from "../../utils/styleUtils";
+import GradientChooserComponent from "../SettingsPage/pages/GeneralPage/components/ProfilePictureForm/components/profilePictureChooserComponent";
 export default function ProfileSettingsPage(): JSX.Element {
   const setCurrentFlowId = useFlowsManagerStore(
-    (state) => state.setCurrentFlowId
+    (state) => state.setCurrentFlowId,
   );
 
   const [inputState, setInputState] = useState<patchUserInputStateType>(
-    CONTROL_PATCH_USER_STATE
+    CONTROL_PATCH_USER_STATE,
   );
 
   // set null id
@@ -37,8 +43,8 @@ export default function ProfileSettingsPage(): JSX.Element {
   async function handlePatchUser() {
     if (password !== cnfPassword) {
       setErrorData({
-        title: "Error changing password",
-        list: ["Passwords do not match"],
+        title: EDIT_PASSWORD_ERROR_ALERT,
+        list: [EDIT_PASSWORD_ALERT_LIST],
       });
       return;
     }
@@ -54,10 +60,10 @@ export default function ProfileSettingsPage(): JSX.Element {
       }
       handleInput({ target: { name: "password", value: "" } });
       handleInput({ target: { name: "cnfPassword", value: "" } });
-      setSuccessData({ title: "Changes saved successfully!" });
+      setSuccessData({ title: SAVE_SUCCESS_ALERT });
     } catch (error) {
       setErrorData({
-        title: "Error saving changes",
+        title: SAVE_ERROR_ALERT,
         list: [(error as any).response.data.detail],
       });
     }
diff --git a/src/frontend/src/pages/SettingsPage/index.tsx b/src/frontend/src/pages/SettingsPage/index.tsx
new file mode 100644
index 00000000000..2e8f49cfc46
--- /dev/null
+++ b/src/frontend/src/pages/SettingsPage/index.tsx
@@ -0,0 +1,86 @@
+import { useEffect } from "react";
+import { Outlet } from "react-router-dom";
+import ForwardedIconComponent from "../../components/genericIconComponent";
+import PageLayout from "../../components/pageLayout";
+import SidebarNav from "../../components/sidebarComponent";
+import useFlowsManagerStore from "../../stores/flowsManagerStore";
+
+export default function SettingsPage(): JSX.Element {
+  const pathname = location.pathname;
+  const setCurrentFlowId = useFlowsManagerStore(
+    (state) => state.setCurrentFlowId,
+  );
+  useEffect(() => {
+    setCurrentFlowId("");
+  }, [pathname]);
+
+  const sidebarNavItems = [
+    {
+      title: "General",
+      href: "/settings/general",
+      icon: (
+        <ForwardedIconComponent
+          name="SlidersHorizontal"
+          className="w-4 flex-shrink-0 justify-start stroke-[1.5]"
+        />
+      ),
+    },
+    {
+      title: "Global Variables",
+      href: "/settings/global-variables",
+      icon: (
+        <ForwardedIconComponent
+          name="Globe"
+          className="w-4 flex-shrink-0 justify-start stroke-[1.5]"
+        />
+      ),
+    },
+    {
+      title: "Langflow API",
+      href: "/settings/api-keys",
+      icon: (
+        <ForwardedIconComponent
+          name="Key"
+          className="w-4 flex-shrink-0 justify-start stroke-[1.5]"
+        />
+      ),
+    },
+    {
+      title: "Shortcuts",
+      href: "/settings/shortcuts",
+      icon: (
+        <ForwardedIconComponent
+          name="Keyboard"
+          className="w-4 flex-shrink-0 justify-start stroke-[1.5]"
+        />
+      ),
+    },
+    {
+      title: "Messages",
+      href: "/settings/messages",
+      icon: (
+        <ForwardedIconComponent
+          name="MessagesSquare"
+          className="w-4 flex-shrink-0 justify-start stroke-[1.5]"
+        />
+      ),
+    },
+  ];
+  return (
+    <PageLayout
+      title="Settings"
+      description="Manage the general settings for Langflow."
+    >
+      <div className="flex h-full w-full space-y-8 lg:flex-row lg:space-x-8 lg:space-y-0">
+        <aside className="flex h-full shrink-0 flex-col space-y-6 lg:w-[20vw]">
+          <SidebarNav items={sidebarNavItems} />
+        </aside>
+        <div className="flex h-full w-full flex-1 flex-col">
+          <div className="flex-1 pb-8">
+            <Outlet />
+          </div>
+        </div>
+      </div>
+    </PageLayout>
+  );
+}
diff --git a/src/frontend/src/pages/SettingsPage/pages/ApiKeysPage/components/ApiKeyHeader/index.tsx b/src/frontend/src/pages/SettingsPage/pages/ApiKeysPage/components/ApiKeyHeader/index.tsx
new file mode 100644
index 00000000000..e94a2e4a18a
--- /dev/null
+++ b/src/frontend/src/pages/SettingsPage/pages/ApiKeysPage/components/ApiKeyHeader/index.tsx
@@ -0,0 +1,41 @@
+import ForwardedIconComponent from "../../../../../../components/genericIconComponent";
+import { Button } from "../../../../../../components/ui/button";
+import { API_PAGE_PARAGRAPH } from "../../../../../../constants/constants";
+import SecretKeyModal from "../../../../../../modals/secretKeyModal";
+
+type ApiKeyHeaderComponentProps = {
+  selectedRows: string[];
+  fetchApiKeys: () => void;
+  userId: string;
+};
+const ApiKeyHeaderComponent = ({
+  selectedRows,
+  fetchApiKeys,
+  userId,
+}: ApiKeyHeaderComponentProps) => {
+  return (
+    <>
+      <div className="flex w-full items-center justify-between gap-4 space-y-0.5">
+        <div className="flex w-full flex-col">
+          <h2 className="flex items-center text-lg font-semibold tracking-tight">
+            Langflow API
+            <ForwardedIconComponent
+              name="Key"
+              className="ml-2 h-5 w-5 text-primary"
+            />
+          </h2>
+          <p className="text-sm text-muted-foreground">{API_PAGE_PARAGRAPH}</p>
+        </div>
+        <div className="flex flex-shrink-0 items-center gap-2">
+          <SecretKeyModal data={userId} onCloseModal={fetchApiKeys}>
+            <Button data-testid="api-key-button-store" variant="primary">
+              <ForwardedIconComponent name="Plus" className="w-4" />
+              Add New
+            </Button>
+          </SecretKeyModal>
+        </div>
+      </div>
+    </>
+  );
+};
+export default ApiKeyHeaderComponent;
diff --git a/src/frontend/src/pages/SettingsPage/pages/ApiKeysPage/helpers/column-defs.ts b/src/frontend/src/pages/SettingsPage/pages/ApiKeysPage/helpers/column-defs.ts
new file mode 100644
index 00000000000..9ea7af4694e
--- /dev/null
+++ b/src/frontend/src/pages/SettingsPage/pages/ApiKeysPage/helpers/column-defs.ts
@@ -0,0 +1,40 @@
+import TableAutoCellRender from "../../../../../components/tableComponent/components/tableAutoCellRender";
+
+export const getColumnDefs = () => {
+  return [
+    {
+      headerCheckboxSelection: true,
+      checkboxSelection: true,
+      showDisabledCheckboxes: true,
+      headerName: "Name",
+      field: "name",
+      cellRenderer: TableAutoCellRender,
+      flex: 2,
+    },
+    {
+      headerName: "Key",
+      field: "api_key",
+      cellRenderer: TableAutoCellRender,
+      flex: 1,
+    },
+    {
+      headerName: "Created",
+      field: "created_at",
+      cellRenderer: TableAutoCellRender,
+      flex: 1,
+    },
+    {
+      headerName: "Last Used",
+      field: "last_used_at",
+      cellRenderer: TableAutoCellRender,
+      flex: 1,
+    },
+    {
+      headerName: "Total Uses",
+      field: "total_uses",
+      cellRenderer: TableAutoCellRender,
+      flex: 1,
+      resizable: false,
+    },
+  ];
+};
diff --git a/src/frontend/src/pages/SettingsPage/pages/ApiKeysPage/hooks/use-api-keys.tsx b/src/frontend/src/pages/SettingsPage/pages/ApiKeysPage/hooks/use-api-keys.tsx
new file mode 100644
index 00000000000..8af9b4a0b3c
--- /dev/null
+++ b/src/frontend/src/pages/SettingsPage/pages/ApiKeysPage/hooks/use-api-keys.tsx
@@ -0,0 +1,26 @@
+import { getApiKey } from "../../../../../controllers/API";
+
+const useApiKeys = (userData, setLoadingKeys, keysList, setUserId) => {
+  const fetchApiKeys = () => {
+    setLoadingKeys(true);
+    getApiKey()
+      .then((keys) => {
+        keysList.current = keys["api_keys"].map((apikey) => ({
+          ...apikey,
+          name: apikey.name && apikey.name !== "" ? apikey.name : "Untitled",
+          last_used_at: apikey.last_used_at ?? "Never",
+        }));
+        setUserId(keys["user_id"]);
+        setLoadingKeys(false);
+      })
+      .catch((error) => {
+        setLoadingKeys(false);
+      });
+  };
+
+  return {
+    fetchApiKeys,
+  };
+};
+
+export default useApiKeys;
diff --git a/src/frontend/src/pages/SettingsPage/pages/ApiKeysPage/hooks/use-handle-delete-key.tsx b/src/frontend/src/pages/SettingsPage/pages/ApiKeysPage/hooks/use-handle-delete-key.tsx
new file mode 100644
index 00000000000..74d5dae9922
--- /dev/null
+++ b/src/frontend/src/pages/SettingsPage/pages/ApiKeysPage/hooks/use-handle-delete-key.tsx
@@ -0,0 +1,42 @@
+import {
+  DEL_KEY_ERROR_ALERT,
+  DEL_KEY_ERROR_ALERT_PLURAL,
+  DEL_KEY_SUCCESS_ALERT,
+  DEL_KEY_SUCCESS_ALERT_PLURAL,
+} from "../../../../../constants/alerts_constants";
+import { deleteApiKey } from "../../../../../controllers/API";
+
+const useDeleteApiKeys = (
+  selectedRows,
+  resetFilter,
+  setSuccessData,
+  setErrorData,
+) => {
+  const handleDeleteKey = () => {
+    Promise.all(selectedRows.map((selectedRow) => deleteApiKey(selectedRow)))
+      .then(() => {
+        resetFilter();
+        setSuccessData({
+          title:
+            selectedRows.length === 1
+              ? DEL_KEY_SUCCESS_ALERT
+              : DEL_KEY_SUCCESS_ALERT_PLURAL,
+        });
+      })
+      .catch((error) => {
+        setErrorData({
+          title:
+            selectedRows.length === 1
+              ? DEL_KEY_ERROR_ALERT
+              : DEL_KEY_ERROR_ALERT_PLURAL,
+          list: [error?.response?.data?.detail],
+        });
+      });
+  };
+
+  return {
+    handleDeleteKey,
+  };
+};
+
+export default useDeleteApiKeys;
diff --git a/src/frontend/src/pages/SettingsPage/pages/ApiKeysPage/index.tsx b/src/frontend/src/pages/SettingsPage/pages/ApiKeysPage/index.tsx
new file mode 100644
index 00000000000..af5280f72c5
--- /dev/null
+++ b/src/frontend/src/pages/SettingsPage/pages/ApiKeysPage/index.tsx
@@ -0,0 +1,69 @@
+import { SelectionChangedEvent } from "ag-grid-community";
+import { useContext, useEffect, useRef, useState } from "react";
+import TableComponent from "../../../../components/tableComponent";
+import { AuthContext } from "../../../../contexts/authContext";
+import useAlertStore from "../../../../stores/alertStore";
+import ApiKeyHeaderComponent from "./components/ApiKeyHeader";
+import { getColumnDefs } from "./helpers/column-defs";
+import useApiKeys from "./hooks/use-api-keys";
+import useDeleteApiKeys from "./hooks/use-handle-delete-key";
+
+export default function ApiKeysPage() {
+  const [loadingKeys, setLoadingKeys] = useState(true);
+  const [selectedRows, setSelectedRows] = useState<string[]>([]);
+  const setSuccessData = useAlertStore((state) => state.setSuccessData);
+  const setErrorData = useAlertStore((state) => state.setErrorData);
+  const { userData } = useContext(AuthContext);
+  const [userId, setUserId] = useState("");
+  const keysList = useRef([]);
+
+  useEffect(() => {
+    fetchApiKeys();
+  }, [userData]);
+
+  const { fetchApiKeys } = useApiKeys(
+    userData,
+    setLoadingKeys,
+    keysList,
+    setUserId,
+  );
+
+  function resetFilter() {
+    fetchApiKeys();
+  }
+
+  const { handleDeleteKey } = useDeleteApiKeys(
+    selectedRows,
+    resetFilter,
+    setSuccessData,
+    setErrorData,
+  );
+
+  const columnDefs = getColumnDefs();
+
+  return (
+    <div className="flex h-full w-full flex-col justify-between gap-6">
+      <ApiKeyHeaderComponent
+        selectedRows={selectedRows}
+        fetchApiKeys={fetchApiKeys}
+        userId={userId}
+      />
+
+      <div className="flex h-full w-full flex-col justify-between">
+        <TableComponent
+          key={"apiKeys"}
+          onDelete={handleDeleteKey}
+          overlayNoRowsTemplate="No data available"
+          onSelectionChanged={(event: SelectionChangedEvent) => {
+            setSelectedRows(event.api.getSelectedRows().map((row) => row.id));
+          }}
+          rowSelection="multiple"
+          suppressRowClickSelection={true}
+          pagination={true}
+          columnDefs={columnDefs}
+          rowData={keysList.current}
+        />
+      </div>
+    </div>
+  );
+}
diff --git a/src/frontend/src/pages/SettingsPage/pages/GeneralPage/components/GeneralPageHeader/index.tsx b/src/frontend/src/pages/SettingsPage/pages/GeneralPage/components/GeneralPageHeader/index.tsx
new file mode 100644
index 00000000000..cb65942bd62
--- /dev/null
+++ b/src/frontend/src/pages/SettingsPage/pages/GeneralPage/components/GeneralPageHeader/index.tsx
@@ -0,0 +1,23 @@
+import ForwardedIconComponent from "../../../../../../components/genericIconComponent";
+
+const GeneralPageHeaderComponent = () => {
+  return (
+    <>
+      <div className="flex w-full items-center justify-between gap-4 space-y-0.5">
+        <div className="flex w-full flex-col">
+          <h2 className="flex items-center text-lg font-semibold tracking-tight">
+            General
+            <ForwardedIconComponent
+              name="SlidersHorizontal"
+              className="ml-2 h-5 w-5 text-primary"
+            />
+          </h2>
+          <p className="text-sm text-muted-foreground">
+            Manage settings related to Langflow and your account.
+          </p>
+        </div>
+      </div>
+    </>
+  );
+};
+export default GeneralPageHeaderComponent;
diff --git a/src/frontend/src/pages/SettingsPage/pages/GeneralPage/components/PasswordForm/index.tsx b/src/frontend/src/pages/SettingsPage/pages/GeneralPage/components/PasswordForm/index.tsx
new file mode 100644
index 00000000000..28edb2f0962
--- /dev/null
+++ b/src/frontend/src/pages/SettingsPage/pages/GeneralPage/components/PasswordForm/index.tsx
@@ -0,0 +1,93 @@
+import * as Form from "@radix-ui/react-form";
+import InputComponent from "../../../../../../components/inputComponent";
+import { Button } from "../../../../../../components/ui/button";
+import {
+  Card,
+  CardContent,
+  CardDescription,
+  CardFooter,
+  CardHeader,
+  CardTitle,
+} from "../../../../../../components/ui/card";
+
+type PasswordFormComponentProps = {
+  password: string;
+  cnfPassword: string;
+  handleInput: (event: any) => void;
+  handlePatchPassword: (
+    password: string,
+    cnfPassword: string,
+    handleInput: any,
+  ) => void;
+};
+const PasswordFormComponent = ({
+  password,
+  cnfPassword,
+  handleInput,
+  handlePatchPassword,
+}: PasswordFormComponentProps) => {
+  return (
+    <>
+      <Form.Root
+        onSubmit={(event) => {
+          handlePatchPassword(password, cnfPassword, handleInput);
+          event.preventDefault();
+        }}
+      >
+        <Card x-chunk="dashboard-04-chunk-2">
+          <CardHeader>
+            <CardTitle>Password</CardTitle>
+            <CardDescription>
+              Type your new password and confirm it.
+            </CardDescription>
+          </CardHeader>
+          <CardContent>
+            <div className="flex w-full gap-4">
+              <Form.Field name="password" className="w-full">
+                <InputComponent
+                  id="pasword"
+                  onChange={(value) => {
+                    handleInput({ target: { name: "password", value } });
+                  }}
+                  value={password}
+                  isForm
+                  password={true}
+                  placeholder="Password"
+                  className="w-full"
+                />
+                <Form.Message match="valueMissing" className="field-invalid">
+                  Please enter your password
+                </Form.Message>
+              </Form.Field>
+              <Form.Field name="cnfPassword" className="w-full">
+                <InputComponent
+                  id="cnfPassword"
+                  onChange={(value) => {
+                    handleInput({
+                      target: { name: "cnfPassword", value },
+                    });
+                  }}
+                  value={cnfPassword}
+                  isForm
+                  password={true}
+                  placeholder="Confirm Password"
+                  className="w-full"
+                />
+
+                <Form.Message className="field-invalid" match="valueMissing">
+                  Please confirm your password
+                </Form.Message>
+              </Form.Field>
+            </div>
+          </CardContent>
+          <CardFooter className="border-t px-6 py-4">
+            <Form.Submit asChild>
+              <Button type="submit">Save</Button>
+            </Form.Submit>
+          </CardFooter>
+        </Card>
+      </Form.Root>
+    </>
+  );
+};
+export default PasswordFormComponent;
diff --git a/src/frontend/src/pages/SettingsPage/pages/GeneralPage/components/ProfileGradientForm/index.tsx b/src/frontend/src/pages/SettingsPage/pages/GeneralPage/components/ProfileGradientForm/index.tsx
new file mode 100644
index 00000000000..a92a0010359
--- /dev/null
+++ b/src/frontend/src/pages/SettingsPage/pages/GeneralPage/components/ProfileGradientForm/index.tsx
@@ -0,0 +1,68 @@
+import * as Form from "@radix-ui/react-form";
+import GradientChooserComponent from "../../../../../../components/gradientChooserComponent";
+import { Button } from "../../../../../../components/ui/button";
+import {
+  Card,
+  CardContent,
+  CardDescription,
+  CardFooter,
+  CardHeader,
+  CardTitle,
+} from "../../../../../../components/ui/card";
+import { gradients } from "../../../../../../utils/styleUtils";
+
+type ProfileGradientFormComponentProps = {
+  gradient: string;
+  handleInput: (event: any) => void;
+  handlePatchGradient: (gradient: string) => void;
+  userData: any;
+};
+const ProfileGradientFormComponent = ({
+  gradient,
+  handleInput,
+  handlePatchGradient,
+  userData,
+}: ProfileGradientFormComponentProps) => {
+  return (
+    <>
+      <Form.Root
+        onSubmit={(event) => {
+          handlePatchGradient(gradient);
+          event.preventDefault();
+        }}
+      >
+        <Card x-chunk="dashboard-04-chunk-1">
+          <CardHeader>
+            <CardTitle>Profile Gradient</CardTitle>
+            <CardDescription>
+              Choose the gradient that appears as your profile picture.
+            </CardDescription>
+          </CardHeader>
+          <CardContent>
+            <div className="py-2">
+              <GradientChooserComponent
+                value={
+                  gradient == ""
+                    ? userData?.profile_image ??
+                      gradients[
+                        parseInt(userData?.id ?? "", 30) % gradients.length
+                      ]
+                    : gradient
+                }
+                onChange={(value) => {
+                  handleInput({ target: { name: "gradient", value } });
+                }}
+              />
+            </div>
+          </CardContent>
+          <CardFooter className="border-t px-6 py-4">
+            <Form.Submit asChild>
+              <Button type="submit">Save</Button>
+            </Form.Submit>
+          </CardFooter>
+        </Card>
+      </Form.Root>
+    </>
+  );
+};
+export default ProfileGradientFormComponent;
diff --git a/src/frontend/src/pages/SettingsPage/pages/GeneralPage/components/ProfilePictureForm/components/profilePictureChooserComponent/hooks/use-get-profile-pictures.ts b/src/frontend/src/pages/SettingsPage/pages/GeneralPage/components/ProfilePictureForm/components/profilePictureChooserComponent/hooks/use-get-profile-pictures.ts
new file mode 100644
index 00000000000..684fd5e38d7
--- /dev/null
+++ b/src/frontend/src/pages/SettingsPage/pages/GeneralPage/components/ProfilePictureForm/components/profilePictureChooserComponent/hooks/use-get-profile-pictures.ts
@@ -0,0 +1,25 @@
+import axios from "axios";
+import { PROFILE_PICTURES_GET_ERROR_ALERT } from "../../../../../../../../../constants/alerts_constants";
+import { getProfilePictures } from "../../../../../../../../../controllers/API";
+
+const useGetProfilePictures = (setErrorData) => {
+  const handleGetProfilePictures = async () => {
+    try {
+      const profilePictures = await getProfilePictures();
+      return profilePictures!.files;
+    } catch (error) {
+      if (axios.isCancel(error)) {
+        console.warn("Request canceled: ", error.message);
+      } else {
+        setErrorData({
+          title: PROFILE_PICTURES_GET_ERROR_ALERT,
+          list: [(error as any)?.response?.data?.detail],
+        });
+      }
+    }
+  };
+
+  return { handleGetProfilePictures };
+};
+
+export default useGetProfilePictures;
diff --git a/src/frontend/src/pages/SettingsPage/pages/GeneralPage/components/ProfilePictureForm/components/profilePictureChooserComponent/hooks/use-preload-images.tsx b/src/frontend/src/pages/SettingsPage/pages/GeneralPage/components/ProfilePictureForm/components/profilePictureChooserComponent/hooks/use-preload-images.tsx
new file mode 100644
index 00000000000..988af6ea9ca
--- /dev/null
+++ b/src/frontend/src/pages/SettingsPage/pages/GeneralPage/components/ProfilePictureForm/components/profilePictureChooserComponent/hooks/use-preload-images.tsx
@@ -0,0 +1,42 @@
+import { useEffect } from "react";
+import {
+  BACKEND_URL,
+  BASE_URL_API,
+} from "../../../../../../../../../constants/constants";
+
+const usePreloadImages = (profilePictures, setImagesLoaded) => {
+  const preloadImages = async (imageUrls) => {
+    return Promise.all(
+      imageUrls.map(
+        (src) =>
+          new Promise((resolve) => {
+            const img = new Image();
+            img.src = src;
+            img.onload = resolve;
+            img.onerror = resolve;
+          }),
+      ),
+    );
+  };
+
+  useEffect(() => {
+    const imageArray: string[] = [];
+    const firstUrl = `${BACKEND_URL.slice(0, BACKEND_URL.length - 1)}`;
+
+    Object.keys(profilePictures).flatMap((folder) =>
+      profilePictures[folder].map((path) =>
+        imageArray.push(
+          `${firstUrl}${BASE_URL_API}files/profile_pictures/${folder}/${path}`,
+        ),
+      ),
+    );
+
+    preloadImages(imageArray).then(() => {
+      setImagesLoaded(true);
+    });
+  }, [profilePictures]);
+
+  return;
+};
+
+export default usePreloadImages;
diff --git a/src/frontend/src/pages/SettingsPage/pages/GeneralPage/components/ProfilePictureForm/components/profilePictureChooserComponent/index.tsx b/src/frontend/src/pages/SettingsPage/pages/GeneralPage/components/ProfilePictureForm/components/profilePictureChooserComponent/index.tsx
new file mode 100644
index 00000000000..ac6a215be90
--- /dev/null
+++ b/src/frontend/src/pages/SettingsPage/pages/GeneralPage/components/ProfilePictureForm/components/profilePictureChooserComponent/index.tsx
@@ -0,0 +1,83 @@
+import { useEffect, useRef, useState } from "react";
+import { Button } from "../../../../../../../../components/ui/button";
+import Loading from "../../../../../../../../components/ui/loading";
+import {
+  BACKEND_URL,
+  BASE_URL_API,
+} from "../../../../../../../../constants/constants";
+import { useDarkStore } from "../../../../../../../../stores/darkStore";
+import { cn } from "../../../../../../../../utils/utils";
+import usePreloadImages from "./hooks/use-preload-images";
+
+type ProfilePictureChooserComponentProps = {
+  profilePictures: { [key: string]: string[] };
+  loading: boolean;
+  value: string;
+  onChange: (value: string) => void;
+};
+
+export default function ProfilePictureChooserComponent({
+  profilePictures,
+  loading,
+  value,
+  onChange,
+}: ProfilePictureChooserComponentProps) {
+  const ref = useRef<HTMLButtonElement>(null);
+  const dark = useDarkStore((state) => state.dark);
+  const [imagesLoaded, setImagesLoaded] = useState(false);
+
+  useEffect(() => {
+    if (value && ref) {
+      ref.current?.scrollIntoView({ behavior: "smooth", block: "center" });
+    }
+  }, [ref, value]);
+
+  usePreloadImages(profilePictures, setImagesLoaded);
+
+  return (
+    <div className="flex flex-col justify-center gap-2">
+      {loading || !imagesLoaded ? (
+        <Loading />
+      ) : (
+        Object.keys(profilePictures).map((folder, idx) => (
+          <div className="flex flex-col gap-2">
+            <div className="edit-flow-arrangement">
+              <span className="font-normal">{folder}</span>
+            </div>
+            <div className="block overflow-hidden">
+              <div className="flex items-center gap-1 overflow-x-auto rounded-lg bg-muted px-1 custom-scroll">
+                {profilePictures[folder].map((path, idx) => (
+                  <Button
+                    ref={value === folder + "/" + path ? ref : undefined}
+                    unstyled
+                    onClick={() => onChange(folder + "/" + path)}
+                    className="shrink-0 px-0.5 py-2"
+                  >
+                    <img
+                      key={idx}
+                      src={`${BACKEND_URL.slice(
+                        0,
+                        BACKEND_URL.length - 1,
+                      )}${BASE_URL_API}files/profile_pictures/${
+                        folder + "/" + path
+                      }`}
+                      style={{
+                        filter:
+                          value === folder + "/" + path
+                            ? dark
+                              ? "drop-shadow(0 0 0.3rem rgb(255, 255, 255))"
+                              : "drop-shadow(0 0 0.3rem rgb(0, 0, 0))"
+                            : "",
+                      }}
+                      className={cn("h-12 w-12")}
+                    />
+                  </Button>
+                ))}
+              </div>
+            </div>
+          </div>
+        ))
+      )}
+    </div>
+  );
+}
diff --git a/src/frontend/src/pages/SettingsPage/pages/GeneralPage/components/ProfilePictureForm/index.tsx b/src/frontend/src/pages/SettingsPage/pages/GeneralPage/components/ProfilePictureForm/index.tsx
new file mode 100644
index 00000000000..935d96c2506
--- /dev/null
+++ b/src/frontend/src/pages/SettingsPage/pages/GeneralPage/components/ProfilePictureForm/index.tsx
@@ -0,0 +1,108 @@
+import * as Form from "@radix-ui/react-form";
+import { useEffect, useState } from "react";
+import { Button } from "../../../../../../components/ui/button";
+import {
+  Card,
+  CardContent,
+  CardDescription,
+  CardFooter,
+  CardHeader,
+  CardTitle,
+} from "../../../../../../components/ui/card";
+import { gradients } from "../../../../../../utils/styleUtils";
+import ProfilePictureChooserComponent from "./components/profilePictureChooserComponent";
+
+type ProfilePictureFormComponentProps = {
+  profilePicture: string;
+  handleInput: (event: any) => void;
+  handlePatchProfilePicture: (gradient: string) => void;
+  handleGetProfilePictures: () => Promise<string[] | undefined>;
+  userData: any;
+};
+const ProfilePictureFormComponent = ({
+  profilePicture,
+  handleInput,
+  handlePatchProfilePicture,
+  handleGetProfilePictures,
+  userData,
+}: ProfilePictureFormComponentProps) => {
+  const [profilePictures, setProfilePictures] = useState<{
+    [key: string]: string[];
+  }>({});
+  const [loading, setLoading] = useState(true);
+
+  useEffect(() => {
+    const abortController = new AbortController();
+
+    handleGetProfilePictures()
+      .then((data) => {
+        if (data) {
+          data.forEach((profile_picture) => {
+            const [folder, path] = profile_picture.split("/");
+            setProfilePictures((prev) => {
+              if (prev[folder]) {
+                prev[folder].push(path);
+              } else {
+                prev[folder] = [path];
+              }
+              setLoading(false);
+              return prev;
+            });
+          });
+        }
+      })
+      .catch(() => {
+        setLoading(false);
+      });
+
+    /*
+      Abort the request as it isn't needed anymore, the component being
+      unmounted. It helps avoid, among other things, the well-known "can't
+      perform a React state update on an unmounted component" warning.
+    */
+    return () => abortController.abort();
+  }, []);
+
+  return (
+    <Form.Root
+      onSubmit={(event) => {
+        handlePatchProfilePicture(profilePicture);
+        event.preventDefault();
+      }}
+    >
+      <Card x-chunk="dashboard-04-chunk-1">
+        <CardHeader>
+          <CardTitle>Profile Picture</CardTitle>
+          <CardDescription>
+            Choose the image that appears as your profile picture.
+          </CardDescription>
+        </CardHeader>
+        <CardContent>
+          <div className="py-2">
+            <ProfilePictureChooserComponent
+              profilePictures={profilePictures}
+              loading={loading}
+              value={
+                profilePicture == ""
+                  ? userData?.profile_image ??
+                    gradients[
+                      parseInt(userData?.id ?? "", 30) % gradients.length
+                    ]
+                  : profilePicture
+              }
+              onChange={(value) => {
+                handleInput({ target: { name: "profilePicture", value } });
+              }}
+            />
+          </div>
+        </CardContent>
+        <CardFooter className="border-t px-6 py-4">
+          <Form.Submit asChild>
+            <Button type="submit">Save</Button>
+          </Form.Submit>
+        </CardFooter>
+      </Card>
+    </Form.Root>
+  );
+};
+export default ProfilePictureFormComponent;
diff --git a/src/frontend/src/pages/SettingsPage/pages/GeneralPage/components/StoreApiKeyForm/index.tsx b/src/frontend/src/pages/SettingsPage/pages/GeneralPage/components/StoreApiKeyForm/index.tsx
new file mode 100644
index 00000000000..5bc5ea38b0f
--- /dev/null
+++ b/src/frontend/src/pages/SettingsPage/pages/GeneralPage/components/StoreApiKeyForm/index.tsx
@@ -0,0 +1,102 @@
+import * as Form from "@radix-ui/react-form";
+import InputComponent from "../../../../../../components/inputComponent";
+import { Button } from "../../../../../../components/ui/button";
+import {
+  Card,
+  CardContent,
+  CardDescription,
+  CardFooter,
+  CardHeader,
+  CardTitle,
+} from "../../../../../../components/ui/card";
+import {
+  CREATE_API_KEY,
+  INSERT_API_KEY,
+  INVALID_API_KEY,
+  NO_API_KEY,
+} from "../../../../../../constants/constants";
+
+type StoreApiKeyFormComponentProps = {
+  apikey: string;
+  handleInput: (event: any) => void;
+  handleSaveKey: (apikey: string, handleInput: any) => void;
+  loadingApiKey: boolean;
+  validApiKey: boolean;
+  hasApiKey: boolean;
+};
+const StoreApiKeyFormComponent = ({
+  apikey,
+  handleInput,
+  handleSaveKey,
+  loadingApiKey,
+  validApiKey,
+  hasApiKey,
+}: StoreApiKeyFormComponentProps) => {
+  return (
+    <>
+      <Form.Root
+        onSubmit={(event) => {
+          event.preventDefault();
+          handleSaveKey(apikey, handleInput);
+        }}
+      >
+        <Card x-chunk="dashboard-04-chunk-2" id="api">
+          <CardHeader>
+            <CardTitle>Store API Key</CardTitle>
+            <CardDescription>
+              {(hasApiKey && !validApiKey
+                ? INVALID_API_KEY
+                : !hasApiKey
+                  ? NO_API_KEY
+                  : "") + INSERT_API_KEY}
+            </CardDescription>
+          </CardHeader>
+          <CardContent>
+            <div className="flex w-full flex-col gap-3">
+              <div className="flex w-full gap-4">
+                <Form.Field name="apikey" className="w-full">
+                  <InputComponent
+                    id="apikey"
+                    onChange={(value) => {
+                      handleInput({ target: { name: "apikey", value } });
+                    }}
+                    value={apikey}
+                    isForm
+                    password={true}
+                    placeholder="Insert your API Key"
+                    className="w-full"
+                  />
+                  <Form.Message match="valueMissing" className="field-invalid">
+                    Please enter your API Key
+                  </Form.Message>
+                </Form.Field>
+              </div>
+              <span className="pr-1 text-xs text-muted-foreground">
+                {CREATE_API_KEY}{" "}
+                <a
+                  className="text-high-indigo underline"
+                  href="https://langflow.store/"
+                  target="_blank"
+                >
+                  langflow.store
+                </a>
+              </span>
+            </div>
+          </CardContent>
+          <CardFooter className="border-t px-6 py-4">
+            <Form.Submit asChild>
+              <Button
+                loading={loadingApiKey}
+                type="submit"
+                data-testid="api-key-save-button-store"
+              >
+                Save
+              </Button>
+            </Form.Submit>
+          </CardFooter>
+        </Card>
+      </Form.Root>
+    </>
+  );
+};
+export default StoreApiKeyFormComponent;
diff --git a/src/frontend/src/pages/SettingsPage/pages/GeneralPage/index.tsx b/src/frontend/src/pages/SettingsPage/pages/GeneralPage/index.tsx
new file mode 100644
index 00000000000..239103777de
--- /dev/null
+++ b/src/frontend/src/pages/SettingsPage/pages/GeneralPage/index.tsx
@@ -0,0 +1,113 @@
+import { useContext, useState } from "react";
+import { useParams } from "react-router-dom";
+import { CONTROL_PATCH_USER_STATE } from "../../../../constants/constants";
+import { AuthContext } from "../../../../contexts/authContext";
+import useAlertStore from "../../../../stores/alertStore";
+import useFlowsManagerStore from "../../../../stores/flowsManagerStore";
+import { useStoreStore } from "../../../../stores/storeStore";
+import {
+  inputHandlerEventType,
+  patchUserInputStateType,
+} from "../../../../types/components";
+import usePatchPassword from "../hooks/use-patch-password";
+import usePatchProfilePicture from "../hooks/use-patch-profile-picture";
+import useSaveKey from "../hooks/use-save-key";
+import useScrollToElement from "../hooks/use-scroll-to-element";
+import GeneralPageHeaderComponent from "./components/GeneralPageHeader";
+import PasswordFormComponent from "./components/PasswordForm";
+import ProfilePictureFormComponent from "./components/ProfilePictureForm";
+import useGetProfilePictures from "./components/ProfilePictureForm/components/profilePictureChooserComponent/hooks/use-get-profile-pictures";
+import StoreApiKeyFormComponent from "./components/StoreApiKeyForm";
+
+export default function GeneralPage() {
+  const setCurrentFlowId = useFlowsManagerStore(
+    (state) => state.setCurrentFlowId,
+  );
+
+  const { scrollId } = useParams();
+
+  const [inputState, setInputState] = useState<patchUserInputStateType>(
+    CONTROL_PATCH_USER_STATE,
+  );
+
+  const { autoLogin } = useContext(AuthContext);
+
+  const setSuccessData = useAlertStore((state) => state.setSuccessData);
+  const setErrorData = useAlertStore((state) => state.setErrorData);
+  const { userData, setUserData } = useContext(AuthContext);
+  const hasStore = useStoreStore((state) => state.hasStore);
+
+  const validApiKey = useStoreStore((state) => state.validApiKey);
+  const hasApiKey = useStoreStore((state) => state.hasApiKey);
+  const setHasApiKey = useStoreStore((state) => state.updateHasApiKey);
+  const loadingApiKey = useStoreStore((state) => state.loadingApiKey);
+  const setValidApiKey = useStoreStore((state) => state.updateValidApiKey);
+  const setLoadingApiKey = useStoreStore((state) => state.updateLoadingApiKey);
+  const { password, cnfPassword, profilePicture, apikey } = inputState;
+
+  const { handlePatchPassword } = usePatchPassword(
+    userData,
+    setSuccessData,
+    setErrorData,
+  );
+
+  const { handleGetProfilePictures } = useGetProfilePictures(setErrorData);
+
+  const { handlePatchProfilePicture } = usePatchProfilePicture(
+    setSuccessData,
+    setErrorData,
+    userData,
+    setUserData,
+  );
+
+  useScrollToElement(scrollId, setCurrentFlowId);
+
+  const { handleSaveKey } = useSaveKey(
+    setSuccessData,
+    setErrorData,
+    setHasApiKey,
+    setValidApiKey,
+    setLoadingApiKey,
+  );
+
+  function handleInput({
+    target: { name, value },
+  }: inputHandlerEventType): void {
+    setInputState((prev) => ({ ...prev, [name]: value }));
+  }
+
+  return (
+    <div className="flex h-full w-full flex-col gap-6">
+      <GeneralPageHeaderComponent />
+
+      <div className="grid gap-6">
+        <ProfilePictureFormComponent
+          profilePicture={profilePicture}
+          handleInput={handleInput}
+          handlePatchProfilePicture={handlePatchProfilePicture}
+          handleGetProfilePictures={handleGetProfilePictures}
+          userData={userData}
+        />
+
+        {!autoLogin && (
+          <PasswordFormComponent
+            password={password}
+            cnfPassword={cnfPassword}
+            handleInput={handleInput}
+            handlePatchPassword={handlePatchPassword}
+          />
+        )}
+        {hasStore && (
+          <StoreApiKeyFormComponent
+            apikey={apikey}
+            handleInput={handleInput}
+            handleSaveKey={handleSaveKey}
+            loadingApiKey={loadingApiKey}
+            validApiKey={validApiKey}
+            hasApiKey={hasApiKey}
+          />
+        )}
+      </div>
+    </div>
+  );
+}
diff --git a/src/frontend/src/pages/SettingsPage/pages/GlobalVariablesPage/index.tsx b/src/frontend/src/pages/SettingsPage/pages/GlobalVariablesPage/index.tsx
new file mode 100644
index 00000000000..6f0dac836c9
--- /dev/null
+++ b/src/frontend/src/pages/SettingsPage/pages/GlobalVariablesPage/index.tsx
@@ -0,0 +1,172 @@
+import IconComponent from "../../../../components/genericIconComponent";
+import { Button } from "../../../../components/ui/button";
+
+import { ColDef, ColGroupDef, SelectionChangedEvent } from "ag-grid-community";
+import { useEffect, useState } from "react";
+import AddNewVariableButton from "../../../../components/addNewVariableButtonComponent/addNewVariableButton";
+import Dropdown from "../../../../components/dropdownComponent";
+import ForwardedIconComponent from "../../../../components/genericIconComponent";
+import TableComponent from "../../../../components/tableComponent";
+import { Badge } from "../../../../components/ui/badge";
+import { deleteGlobalVariable } from "../../../../controllers/API";
+import useAlertStore from "../../../../stores/alertStore";
+import { useGlobalVariablesStore } from "../../../../stores/globalVariablesStore/globalVariables";
+
+export default function GlobalVariablesPage() {
+  const globalVariablesEntries = useGlobalVariablesStore(
+    (state) => state.globalVariablesEntries,
+  );
+  const removeGlobalVariable = useGlobalVariablesStore(
+    (state) => state.removeGlobalVariable,
+  );
+  const globalVariables = useGlobalVariablesStore(
+    (state) => state.globalVariables,
+  );
+  const setErrorData = useAlertStore((state) => state.setErrorData);
+  const getVariableId = useGlobalVariablesStore((state) => state.getVariableId);
+
+  const BadgeRenderer = (props) => {
+    return props.value !== "" ? (
+      <div>
+        <Badge variant="outline" size="md" className="font-normal">
+          {props.value}
+        </Badge>
+      </div>
+    ) : (
+      <div></div>
+    );
+  };
+
+  const [rowData, setRowData] = useState<
+    {
+      type: string | undefined;
+      id: string;
+      name: string;
+      default_fields: string | undefined;
+    }[]
+  >([]);
+
+  useEffect(() => {
+    const rows: Array<{
+      type: string | undefined;
+      id: string;
+      name: string;
+      default_fields: string | undefined;
+    }> = [];
+    if (globalVariablesEntries === undefined) return;
+    globalVariablesEntries.forEach((entrie) => {
+      const globalVariableObj = globalVariables[entrie];
+      rows.push({
+        type: globalVariableObj.type,
+        id: globalVariableObj.id,
+        default_fields: (globalVariableObj.default_fields ?? []).join(", "),
+        name: entrie,
+      });
+    });
+    setRowData(rows);
+  }, [globalVariables]);
+
+  const DropdownEditor = ({ options, value, onValueChange }) => {
+    return (
+      <Dropdown options={options} value={value} onSelect={onValueChange}>
+        <div className="-mt-1.5 w-full"></div>
+      </Dropdown>
+    );
+  };
+  // Column Definitions: Defines the columns to be displayed.
+  const [colDefs, setColDefs] = useState<(ColDef<any> | ColGroupDef<any>)[]>([
+    {
+      headerName: "Variable Name",
+      field: "name",
+      flex: 2,
+    }, //This column will be twice as wide as the others
+    {
+      headerName: "Type",
+      field: "type",
+      cellRenderer: BadgeRenderer,
+      cellEditor: DropdownEditor,
+      cellEditorParams: {
+        options: ["Generic", "Credential"],
+      },
+      flex: 1,
+      editable: false,
+    },
+    // {
+    //   field: "value",
+    //   cellEditor: "agLargeTextCellEditor",
+    //   flex: 2,
+    //   editable: false,
+    // },
+    {
+      headerName: "Apply To Fields",
+      field: "default_fields",
+      flex: 1,
+      editable: false,
+      resizable: false,
+    },
+  ]);
+
+  const [selectedRows, setSelectedRows] = useState<string[]>([]);
+
+  async function removeVariables() {
+    const deleteGlobalVariablesPromise = selectedRows.map(async (row) => {
+      const id = getVariableId(row);
+      const deleteGlobalVariables = deleteGlobalVariable(id!);
+      await deleteGlobalVariables;
+    });
+    Promise.all(deleteGlobalVariablesPromise)
+      .then(() => {
+        selectedRows.forEach((row) => {
+          removeGlobalVariable(row);
+        });
+      })
+      .catch(() => {
+        setErrorData({
+          title: `Error deleting global variables.`,
+        });
+      });
+  }
+
+  return (
+    <div className="flex h-full w-full flex-col justify-between gap-6">
+      <div className="flex w-full items-center justify-between gap-4 space-y-0.5">
+        <div className="flex w-full flex-col">
+          <h2 className="flex items-center text-lg font-semibold tracking-tight">
+            Global Variables
+            <ForwardedIconComponent
+              name="Globe"
+              className="ml-2 h-5 w-5 text-primary"
+            />
+          </h2>
+          <p className="text-sm text-muted-foreground">
+            Manage global variables and assign them to fields.
+          </p>
+        </div>
+        <div className="flex flex-shrink-0 items-center gap-2">
+          <AddNewVariableButton asChild>
+            <Button data-testid="api-key-button-store" variant="primary">
+              <IconComponent name="Plus" className="w-4" />
+              Add New
+            </Button>
+          </AddNewVariableButton>
+        </div>
+      </div>
+
+      <div className="flex h-full w-full flex-col justify-between">
+        <TableComponent
+          key={"globalVariables"}
+          overlayNoRowsTemplate="No data available"
+          onSelectionChanged={(event: SelectionChangedEvent) => {
+            setSelectedRows(event.api.getSelectedRows().map((row) => row.name));
+          }}
+          rowSelection="multiple"
+          suppressRowClickSelection={true}
+          pagination={true}
+          columnDefs={colDefs}
+          rowData={rowData}
+          onDelete={removeVariables}
+        />
+      </div>
+    </div>
+  );
+}
diff --git a/src/frontend/src/pages/SettingsPage/pages/ShortcutsPage/EditShortcutButton/index.tsx b/src/frontend/src/pages/SettingsPage/pages/ShortcutsPage/EditShortcutButton/index.tsx
new file mode 100644
index 00000000000..883c99b344c
--- /dev/null
+++ b/src/frontend/src/pages/SettingsPage/pages/ShortcutsPage/EditShortcutButton/index.tsx
@@ -0,0 +1,185 @@
+import { useEffect, useState } from "react";
+import useAlertStore from "../../../../../stores/alertStore";
+
+import ForwardedIconComponent from "../../../../../components/genericIconComponent";
+import { Button } from "../../../../../components/ui/button";
+import BaseModal from "../../../../../modals/baseModal";
+import { useShortcutsStore } from "../../../../../stores/shortcuts";
+import { toTitleCase } from "../../../../../utils/utils";
+
+export default function EditShortcutButton({
+  children,
+  shortcut,
+  defaultShortcuts,
+  defaultCombination,
+  open,
+  setOpen,
+  disable,
+  setSelected,
+}: {
+  children: JSX.Element;
+  shortcut: string[];
+  defaultShortcuts: Array<{ name: string; shortcut: string }>;
+  defaultCombination: string;
+  open: boolean;
+  setOpen: (bool: boolean) => void;
+  disable?: boolean;
+  setSelected: (selected: string[]) => void;
+}): JSX.Element {
+  let shortcutInitialValue =
+    defaultShortcuts.length > 0
+      ? defaultShortcuts.find(
+          (s) =>
+            s.name.split(" ")[0].toLowerCase().toLowerCase() ===
+            shortcut[0]?.split(" ")[0].toLowerCase(),
+        )?.shortcut
+      : "";
+  const [key, setKey] = useState<string | null>(null);
+  const setSuccessData = useAlertStore((state) => state.setSuccessData);
+  const setShortcuts = useShortcutsStore((state) => state.setShortcuts);
+  const setErrorData = useAlertStore((state) => state.setErrorData);
+
+  function canEditCombination(newCombination: string): boolean {
+    let canSave = true;
+    defaultShortcuts.forEach(({ shortcut }) => {
+      if (shortcut.toLowerCase() === newCombination.toLowerCase()) {
+        canSave = false;
+      }
+    });
+    return canSave;
+  }
+
+  const setUniqueShortcut = useShortcutsStore(
+    (state) => state.updateUniqueShortcut,
+  );
+
+  function editCombination(): void {
+    if (key) {
+      if (canEditCombination(key)) {
+        const newCombination = defaultShortcuts.map((s) => {
+          if (s.name === shortcut[0]) {
+            return { name: s.name, shortcut: key };
+          }
+          return { name: s.name, shortcut: s.shortcut };
+        });
+        const fixCombination = key.split(" ");
+        if (
+          fixCombination[0].toLowerCase().includes("ctrl") ||
+          fixCombination[0].toLowerCase().includes("cmd")
+        ) {
+          fixCombination[0] = "mod";
+        }
+        const shortcutName = shortcut[0].split(" ")[0].toLowerCase();
+        setUniqueShortcut(shortcutName, fixCombination.join("").toLowerCase());
+        setShortcuts(newCombination);
+        localStorage.setItem(
+          "langflow-shortcuts",
+          JSON.stringify(newCombination),
+        );
+        setKey(null);
+        setOpen(false);
+        setSuccessData({
+          title: `${shortcut[0]} shortcut successfully changed`,
+        });
+        return;
+      }
+    }
+    setErrorData({
+      title: "Error saving key combination",
+      list: ["This combination already exists!"],
+    });
+  }
+
+  useEffect(() => {
+    if (!open) {
+      setKey(null);
+      setSelected([]);
+    }
+  }, [open, setOpen, key]);
+
+  function getFixedCombination({
+    oldKey,
+    key,
+  }: {
+    oldKey: string;
+    key: string;
+  }): string {
+    if (oldKey === null) {
+      return `${key.length > 0 ? toTitleCase(key) : toTitleCase(key)}`;
+    }
+    return `${
+      oldKey.length > 0 ? toTitleCase(oldKey) : oldKey.toUpperCase()
+    } + ${key.length > 0 ? toTitleCase(key) : key.toUpperCase()}`;
+  }
+
+  function checkForKeys(keys: string, keyToCompare: string): boolean {
+    const keysArr = keys.split(" ");
+    let hasNewKey = false;
+    return keysArr.some(
+      (k) => k.toLowerCase().trim() === keyToCompare.toLowerCase().trim(),
+    );
+  }
+
+  useEffect(() => {
+    function onKeyDown(e: KeyboardEvent) {
+      e.preventDefault();
+      let fixedKey = e.key;
+      if (e.key?.toLowerCase() === "control") {
+        fixedKey = "Ctrl";
+      }
+      if (e.key?.toLowerCase() === "meta") {
+        fixedKey = "Cmd";
+      }
+      if (e.key?.toLowerCase() === " ") {
+        fixedKey = "Space";
+      }
+      if (key) {
+        if (checkForKeys(key, fixedKey)) return;
+      }
+      setKey((oldKey) =>
+        getFixedCombination({ oldKey: oldKey!, key: fixedKey }),
+      );
+    }
+
+    document.addEventListener("keydown", onKeyDown);
+
+    return () => {
+      document.removeEventListener("keydown", onKeyDown);
+    };
+  }, [key, setKey]);
+
+  return (
+    <BaseModal open={open} setOpen={setOpen} size="x-small" disable={disable}>
+      <BaseModal.Header description={"Recording your keyboard"}>
+        <span className="pr-2"> Key Combination </span>
+        <ForwardedIconComponent
+          name="Keyboard"
+          className="h-6 w-6 pl-1 text-primary"
+          aria-hidden="true"
+        />
+      </BaseModal.Header>
+      <BaseModal.Trigger>{children}</BaseModal.Trigger>
+      <BaseModal.Content>
+        <div className="align-center flex h-full w-full justify-center gap-4 rounded-md border border-border py-2">
+          <div className="flex items-center justify-center text-center text-lg font-bold">
+            {key === null
+              ? shortcutInitialValue?.toUpperCase()
+              : key.toUpperCase()}
+          </div>
+        </div>
+      </BaseModal.Content>
+      <BaseModal.Footer>
+        <Button variant={"default"} onClick={editCombination}>
+          Apply
+        </Button>
+        <Button
+          className="mr-5"
+          variant={"destructive"}
+          onClick={() => setKey(null)}
+        >
+          Reset
+        </Button>
+      </BaseModal.Footer>
+    </BaseModal>
+  );
+}
diff --git a/src/frontend/src/pages/SettingsPage/pages/ShortcutsPage/index.tsx b/src/frontend/src/pages/SettingsPage/pages/ShortcutsPage/index.tsx
new file mode 100644
index 00000000000..1a0fdf8b599
--- /dev/null
+++ b/src/frontend/src/pages/SettingsPage/pages/ShortcutsPage/index.tsx
@@ -0,0 +1,117 @@
+import { useEffect, useState } from "react";
+import ForwardedIconComponent from "../../../../components/genericIconComponent";
+import TableComponent from "../../../../components/tableComponent";
+import { Button } from "../../../../components/ui/button";
+import { defaultShortcuts } from "../../../../constants/constants";
+import { useShortcutsStore } from "../../../../stores/shortcuts";
+import EditShortcutButton from "./EditShortcutButton";
+
+export default function ShortcutsPage() {
+  const [selectedRows, setSelectedRows] = useState<string[]>([]);
+  const shortcuts = useShortcutsStore((state) => state.shortcuts);
+  const setShortcuts = useShortcutsStore((state) => state.setShortcuts);
+
+  // Column Definitions: Defines the columns to be displayed.
+  const colDefs = [
+    {
+      headerName: "Functionality",
+      field: "name",
+      flex: 1,
+      editable: false,
+      resizable: false,
+    }, //This column will be twice as wide as the others
+    {
+      headerName: "Keyboard Shortcut",
+      field: "shortcut",
+      flex: 2,
+      editable: false,
+      resizable: false,
+    },
+  ];
+
+  const [nodesRowData, setNodesRowData] = useState<
+    Array<{ name: string; shortcut: string }>
+  >([]);
+
+  useEffect(() => {
+    setNodesRowData(shortcuts);
+  }, [shortcuts]);
+
+  const combinationToEdit = shortcuts.filter((s) => s.name === selectedRows[0]);
+  const [open, setOpen] = useState(false);
+  const updateUniqueShortcut = useShortcutsStore(
+    (state) => state.updateUniqueShortcut,
+  );
+
+  function handleRestore() {
+    setShortcuts(defaultShortcuts);
+    defaultShortcuts.forEach(({ name, shortcut }) => {
+      const fixedName = name.split(" ")[0].toLowerCase();
+      updateUniqueShortcut(fixedName, shortcut);
+    });
+    localStorage.removeItem("langflow-shortcuts");
+  }
+
+  return (
+    <div className="flex h-full w-full flex-col gap-6">
+      <div className="flex w-full items-center justify-between gap-4 space-y-0.5">
+        <div className="flex w-full flex-col">
+          <h2 className="flex items-center text-lg font-semibold tracking-tight">
+            Shortcuts
+            <ForwardedIconComponent
+              name="Keyboard"
+              className="ml-2 h-5 w-5 text-primary"
+            />
+          </h2>
+          <p className="text-sm text-muted-foreground">
+            Manage Shortcuts for quick access to frequently used actions.
+          </p>
+        </div>
+        <div>
+          <div className="align-end mb-4 flex w-full justify-end">
+            <div className="justify center flex items-center">
+              {open && (
+                <EditShortcutButton
+                  disable={selectedRows.length === 0}
+                  defaultCombination={combinationToEdit[0]?.shortcut}
+                  shortcut={selectedRows}
+                  defaultShortcuts={shortcuts}
+                  open={open}
+                  setOpen={setOpen}
+                  setSelected={setSelectedRows}
+                >
+                  <div style={{ display: "none" }} />
+                </EditShortcutButton>
+              )}
+              <Button
+                variant="primary"
+                className="ml-3"
+                onClick={handleRestore}
+              >
+                <ForwardedIconComponent name="RotateCcw" className="mr-2 w-4" />
+                Restore
+              </Button>
+            </div>
+          </div>
+        </div>
+      </div>
+      <div className="grid gap-6 pb-8">
+        <div>
+          {colDefs && nodesRowData.length > 0 && (
+            <TableComponent
+              suppressRowClickSelection={true}
+              domLayout="autoHeight"
+              pagination={false}
+              columnDefs={colDefs}
+              rowData={nodesRowData}
+              onCellDoubleClicked={(e) => {
+                setSelectedRows([e.data.name]);
+                setOpen(true);
+              }}
+            />
+          )}
+        </div>
+      </div>
+    </div>
+  );
+}
diff --git a/src/frontend/src/pages/SettingsPage/pages/hooks/use-patch-gradient.tsx b/src/frontend/src/pages/SettingsPage/pages/hooks/use-patch-gradient.tsx
new file mode 100644
index 00000000000..ea61d472207
--- /dev/null
+++ b/src/frontend/src/pages/SettingsPage/pages/hooks/use-patch-gradient.tsx
@@ -0,0 +1,37 @@
+import cloneDeep from "lodash/cloneDeep";
+import {
+  SAVE_ERROR_ALERT,
+  SAVE_SUCCESS_ALERT,
+} from "../../../../constants/alerts_constants";
+import { updateUser } from "../../../../controllers/API";
+
+const usePatchGradient = (
+  setSuccessData,
+  setErrorData,
+  currentUserData,
+  setUserData,
+) => {
+  const handlePatchGradient = async (gradient) => {
+    try {
+      if (gradient !== "") {
+        await updateUser(currentUserData.id, { profile_image: gradient });
+        let newUserData = cloneDeep(currentUserData);
+        newUserData.profile_image = gradient;
+        setUserData(newUserData);
+      }
+      setSuccessData({ title: SAVE_SUCCESS_ALERT });
+    } catch (error) {
+      setErrorData({
+        title: SAVE_ERROR_ALERT,
+        list: [(error as any)?.response?.data?.detail],
+      });
+    }
+  };
+
+  return {
+    currentUserData,
+    handlePatchGradient,
+  };
+};
+
+export default usePatchGradient;
diff --git a/src/frontend/src/pages/SettingsPage/pages/hooks/use-patch-password.tsx b/src/frontend/src/pages/SettingsPage/pages/hooks/use-patch-password.tsx
new file mode 100644
index 00000000000..c4b452e6b75
--- /dev/null
+++ b/src/frontend/src/pages/SettingsPage/pages/hooks/use-patch-password.tsx
@@ -0,0 +1,36 @@
+import {
+  EDIT_PASSWORD_ALERT_LIST,
+  EDIT_PASSWORD_ERROR_ALERT,
+  SAVE_ERROR_ALERT,
+  SAVE_SUCCESS_ALERT,
+} from "../../../../constants/alerts_constants";
+import { resetPassword } from "../../../../controllers/API";
+
+const usePatchPassword = (userData, setSuccessData, setErrorData) => {
+  const handlePatchPassword = async (password, cnfPassword, handleInput) => {
+    if (password !== cnfPassword) {
+      setErrorData({
+        title: EDIT_PASSWORD_ERROR_ALERT,
+        list: [EDIT_PASSWORD_ALERT_LIST],
+      });
+      return;
+    }
+    try {
+      if (password !== "") await resetPassword(userData.id, { password });
+      handleInput({ target: { name: "password", value: "" } });
+      handleInput({ target: { name: "cnfPassword", value: "" } });
+      setSuccessData({ title: SAVE_SUCCESS_ALERT });
+    } catch (error) {
+      setErrorData({
+        title: SAVE_ERROR_ALERT,
+        list: [(error as any)?.response?.data?.detail],
+      });
+    }
+  };
+
+  return {
+    handlePatchPassword,
+  };
+};
+
+export default usePatchPassword;
diff --git a/src/frontend/src/pages/SettingsPage/pages/hooks/use-patch-profile-picture.tsx b/src/frontend/src/pages/SettingsPage/pages/hooks/use-patch-profile-picture.tsx
new file mode 100644
index 00000000000..584300fdf58
--- /dev/null
+++ b/src/frontend/src/pages/SettingsPage/pages/hooks/use-patch-profile-picture.tsx
@@ -0,0 +1,39 @@
+import cloneDeep from "lodash/cloneDeep";
+import {
+  SAVE_ERROR_ALERT,
+  SAVE_SUCCESS_ALERT,
+} from "../../../../constants/alerts_constants";
+import { updateUser } from "../../../../controllers/API";
+
+const usePatchProfilePicture = (
+  setSuccessData,
+  setErrorData,
+  currentUserData,
+  setUserData,
+) => {
+  const handlePatchProfilePicture = async (profile_picture) => {
+    try {
+      if (profile_picture !== "") {
+        await updateUser(currentUserData.id, {
+          profile_image: profile_picture,
+        });
+        let newUserData = cloneDeep(currentUserData);
+        newUserData.profile_image = profile_picture;
+        setUserData(newUserData);
+      }
+      setSuccessData({ title: SAVE_SUCCESS_ALERT });
+    } catch (error) {
+      setErrorData({
+        title: SAVE_ERROR_ALERT,
+        list: [(error as any)?.response?.data?.detail],
+      });
+    }
+  };
+
+  return {
+    currentUserData,
+    handlePatchProfilePicture,
+  };
+};
+
+export default usePatchProfilePicture;
diff --git a/src/frontend/src/pages/SettingsPage/pages/hooks/use-save-key.tsx b/src/frontend/src/pages/SettingsPage/pages/hooks/use-save-key.tsx
new file mode 100644
index 00000000000..cf5871a26ec
--- /dev/null
+++ b/src/frontend/src/pages/SettingsPage/pages/hooks/use-save-key.tsx
@@ -0,0 +1,48 @@
+import { useContext } from "react";
+import {
+  API_ERROR_ALERT,
+  API_SUCCESS_ALERT,
+} from "../../../../constants/alerts_constants";
+import { AuthContext } from "../../../../contexts/authContext";
+import { addApiKeyStore } from "../../../../controllers/API";
+
+const useSaveKey = (
+  setSuccessData,
+  setErrorData,
+  setHasApiKey,
+  setValidApiKey,
+  setLoadingApiKey,
+) => {
+  const { storeApiKey } = useContext(AuthContext);
+
+  const handleSaveKey = (apikey, handleInput) => {
+    if (apikey) {
+      setLoadingApiKey(true);
+      addApiKeyStore(apikey).then(
+        () => {
+          setSuccessData({ title: API_SUCCESS_ALERT });
+          storeApiKey(apikey);
+          setHasApiKey(true);
+          setValidApiKey(true);
+          setLoadingApiKey(false);
+          handleInput({ target: { name: "apikey", value: "" } });
+        },
+        (error) => {
+          setErrorData({
+            title: API_ERROR_ALERT,
+            list: [error.response.data.detail],
+          });
+          setHasApiKey(false);
+          setValidApiKey(false);
+          setLoadingApiKey(false);
+        },
+      );
+    }
+  };
+
+  return {
+    handleSaveKey,
+  };
+};
+
+export default useSaveKey;
diff --git a/src/frontend/src/pages/SettingsPage/pages/hooks/use-scroll-to-element.tsx b/src/frontend/src/pages/SettingsPage/pages/hooks/use-scroll-to-element.tsx
new file mode 100644
index 00000000000..a56c2d5d667
--- /dev/null
+++ b/src/frontend/src/pages/SettingsPage/pages/hooks/use-scroll-to-element.tsx
@@ -0,0 +1,17 @@
+import { useEffect } from "react";
+
+const useScrollToElement = (scrollId, setCurrentFlowId) => {
+  useEffect(() => {
+    const element = document.getElementById(scrollId ?? "null");
+    if (element) {
+      // Scroll smoothly to the top of the next section
+      element.scrollIntoView({ behavior: "smooth" });
+    }
+  }, [scrollId]);
+
+  useEffect(() => {
+    setCurrentFlowId("");
+  }, [setCurrentFlowId]);
+};
+
+export default useScrollToElement;
diff --git a/src/frontend/src/pages/SettingsPage/pages/messagesPage/components/headerMessages/index.tsx b/src/frontend/src/pages/SettingsPage/pages/messagesPage/components/headerMessages/index.tsx
new file mode 100644
index 00000000000..f7802fe417c
--- /dev/null
+++ b/src/frontend/src/pages/SettingsPage/pages/messagesPage/components/headerMessages/index.tsx
@@ -0,0 +1,24 @@
+import ForwardedIconComponent from "../../../../../../components/genericIconComponent";
+
+const HeaderMessagesComponent = () => {
+  return (
+    <>
+      <div className="flex w-full items-center justify-between gap-4 space-y-0.5">
+        <div className="flex w-full flex-col">
+          <h2 className="flex items-center text-lg font-semibold tracking-tight">
+            Messages
+            <ForwardedIconComponent
+              name="MessagesSquare"
+              className="ml-2 h-5 w-5 text-primary"
+            />
+          </h2>
+          <p className="text-sm text-muted-foreground">
+            Inspect, edit and remove messages to explore and refine model
+            behaviors.
+          </p>
+        </div>
+      </div>
+    </>
+  );
+};
+export default HeaderMessagesComponent;
diff --git a/src/frontend/src/pages/SettingsPage/pages/messagesPage/hooks/use-messages-table.tsx b/src/frontend/src/pages/SettingsPage/pages/messagesPage/hooks/use-messages-table.tsx
new file mode 100644
index 00000000000..7f3a74352e8
--- /dev/null
+++ b/src/frontend/src/pages/SettingsPage/pages/messagesPage/hooks/use-messages-table.tsx
@@ -0,0 +1,24 @@
+import { useEffect } from "react";
+import { getMessagesTable } from "../../../../../controllers/API";
+import { useMessagesStore } from "../../../../../stores/messagesStore";
+
+const useMessagesTable = (setColumns) => {
+  const setMessages = useMessagesStore((state) => state.setMessages);
+  useEffect(() => {
+    const fetchData = async () => {
+      try {
+        const data = await getMessagesTable("union", undefined, ["index"]);
+        const { columns, rows } = data;
+        setColumns(columns);
+        setMessages(rows);
+      } catch (error) {
+        console.error("Error fetching messages:", error);
+      }
+    };
+    fetchData();
+  }, []);
+
+  return null;
+};
+
+export default useMessagesTable;
diff --git a/src/frontend/src/pages/SettingsPage/pages/messagesPage/hooks/use-remove-messages.tsx b/src/frontend/src/pages/SettingsPage/pages/messagesPage/hooks/use-remove-messages.tsx
new file mode 100644
index 00000000000..d7f4d520214
--- /dev/null
+++ b/src/frontend/src/pages/SettingsPage/pages/messagesPage/hooks/use-remove-messages.tsx
@@ -0,0 +1,30 @@
+import { deleteMessagesFn } from "../../../../../controllers/API";
+import { useMessagesStore } from "../../../../../stores/messagesStore";
+
+const useRemoveMessages = (
+  setSelectedRows,
+  setSuccessData,
+  setErrorData,
+  selectedRows,
+) => {
+  const deleteMessages = useMessagesStore((state) => state.removeMessages);
+
+  const handleRemoveMessages = async () => {
+    try {
+      await deleteMessagesFn(selectedRows);
+      deleteMessages(selectedRows);
+      setSelectedRows([]);
+      setSuccessData({
+        title: "Messages deleted successfully.",
+      });
+    } catch (error) {
+      setErrorData({
+        title: "Error deleting messages.",
+      });
+    }
+  };
+
+  return { handleRemoveMessages };
+};
+
+export default useRemoveMessages;
diff --git a/src/frontend/src/pages/SettingsPage/pages/messagesPage/hooks/use-updateMessage.tsx b/src/frontend/src/pages/SettingsPage/pages/messagesPage/hooks/use-updateMessage.tsx
new file mode 100644
index 00000000000..f199ac4893c
--- /dev/null
+++ b/src/frontend/src/pages/SettingsPage/pages/messagesPage/hooks/use-updateMessage.tsx
@@ -0,0 +1,30 @@
+import { updateMessageApi } from "../../../../../controllers/API";
+import { useMessagesStore } from "../../../../../stores/messagesStore";
+import { Message } from "../../../../../types/messages";
+
+const useUpdateMessage = (setSuccessData, setErrorData) => {
+  const updateMessage = useMessagesStore((state) => state.updateMessage);
+
+  const handleUpdate = async (data: Message) => {
+    try {
+      await updateMessageApi(data);
+
+      updateMessage(data);
+
+      // Set success message
+      setSuccessData({
+        title: "Messages updated successfully.",
+      });
+    } catch (error) {
+      // Set error message
+      setErrorData({
+        title: "Error updating messages.",
+      });
+      return Promise.reject(error);
+    }
+  };
+
+  return { handleUpdate };
+};
+
+export default useUpdateMessage;
diff --git a/src/frontend/src/pages/SettingsPage/pages/messagesPage/index.tsx b/src/frontend/src/pages/SettingsPage/pages/messagesPage/index.tsx
new file mode 100644
index 00000000000..70037ee7cd8
--- /dev/null
+++ b/src/frontend/src/pages/SettingsPage/pages/messagesPage/index.tsx
@@ -0,0 +1,82 @@
+import {
+  CellEditRequestEvent,
+  ColDef,
+  ColGroupDef,
+  SelectionChangedEvent,
+} from "ag-grid-community";
+import { useState } from "react";
+import TableComponent from "../../../../components/tableComponent";
+import useAlertStore from "../../../../stores/alertStore";
+import { useMessagesStore } from "../../../../stores/messagesStore";
+import { messagesSorter } from "../../../../utils/utils";
+import HeaderMessagesComponent from "./components/headerMessages";
+import useMessagesTable from "./hooks/use-messages-table";
+import useRemoveMessages from "./hooks/use-remove-messages";
+import useUpdateMessage from "./hooks/use-updateMessage";
+
+export default function MessagesPage() {
+  const [columns, setColumns] = useState<Array<ColDef | ColGroupDef>>([]);
+  const messages = useMessagesStore((state) => state.messages);
+
+  const setErrorData = useAlertStore((state) => state.setErrorData);
+  const setSuccessData = useAlertStore((state) => state.setSuccessData);
+
+  const [selectedRows, setSelectedRows] = useState<number[]>([]);
+
+  const { handleRemoveMessages } = useRemoveMessages(
+    setSelectedRows,
+    setSuccessData,
+    setErrorData,
+    selectedRows,
+  );
+
+  const { handleUpdate } = useUpdateMessage(setSuccessData, setErrorData);
+
+  useMessagesTable(setColumns);
+
+  function handleUpdateMessage(event: CellEditRequestEvent<any, string>) {
+    const newValue = event.newValue;
+    const field = event.column.getColId();
+    const row = event.data;
+    const data = {
+      ...row,
+      [field]: newValue,
+    };
+    handleUpdate(data);
+  }
+
+  return (
+    <div className="flex h-full w-full flex-col justify-between gap-6">
+      <HeaderMessagesComponent />
+
+      <div className="flex h-full w-full flex-col justify-between">
+        <TableComponent
+          key={"sessionView"}
+          onDelete={handleRemoveMessages}
+          readOnlyEdit
+          onCellEditRequest={(event) => {
+            handleUpdateMessage(event);
+          }}
+          editable={[
+            {
+              field: "text",
+              onUpdate: handleUpdateMessage,
+              editableCell: false,
+            },
+          ]}
+          overlayNoRowsTemplate="No data available"
+          onSelectionChanged={(event: SelectionChangedEvent) => {
+            setSelectedRows(
+              event.api.getSelectedRows().map((row) => row.index),
+            );
+          }}
+          rowSelection="multiple"
+          suppressRowClickSelection={true}
+          pagination={true}
+          columnDefs={columns.sort(messagesSorter)}
+          rowData={messages}
+        />
+      </div>
+    </div>
+  );
+}
diff --git a/src/frontend/src/pages/SignUpPage/index.tsx b/src/frontend/src/pages/SignUpPage/index.tsx
new file mode 100644
index 00000000000..1cdad3d5993
--- /dev/null
+++ b/src/frontend/src/pages/SignUpPage/index.tsx
@@ -0,0 +1,194 @@
+import * as Form from "@radix-ui/react-form";
+import { FormEvent, useEffect, useState } from "react";
+import { Link, useNavigate } from "react-router-dom";
+import InputComponent from "../../components/inputComponent";
+import { Button } from "../../components/ui/button";
+import { Input } from "../../components/ui/input";
+import { SIGNUP_ERROR_ALERT } from "../../constants/alerts_constants";
+import {
+  CONTROL_INPUT_STATE,
+  SIGN_UP_SUCCESS,
+} from "../../constants/constants";
+import { addUser } from "../../controllers/API";
+import useAlertStore from "../../stores/alertStore";
+import {
+  UserInputType,
+  inputHandlerEventType,
+  signUpInputStateType,
+} from "../../types/components";
+
+export default function SignUp(): JSX.Element {
+  const [inputState, setInputState] =
+    useState<signUpInputStateType>(CONTROL_INPUT_STATE);
+
+  const [isDisabled, setDisableBtn] = useState<boolean>(true);
+
+  const { password, cnfPassword, username } = inputState;
+  const setSuccessData = useAlertStore((state) => state.setSuccessData);
+  const setErrorData = useAlertStore((state) => state.setErrorData);
+  const navigate = useNavigate();
+
+  function handleInput({
+    target: { name, value },
+  }: inputHandlerEventType): void {
+    setInputState((prev) => ({ ...prev, [name]: value }));
+  }
+
+  useEffect(() => {
+    if (password !== cnfPassword) return setDisableBtn(true);
+    if (password === "" || cnfPassword === "") return setDisableBtn(true);
+    if (username === "") return setDisableBtn(true);
+    setDisableBtn(false);
+  }, [password, cnfPassword, username, handleInput]);
+
+  function handleSignup(): void {
+    const { username, password } = inputState;
+    const newUser: UserInputType = {
+      username: username.trim(),
+      password: password.trim(),
+    };
+    addUser(newUser)
+      .then((user) => {
+        setSuccessData({
+          title: SIGN_UP_SUCCESS,
+        });
+        navigate("/login");
+      })
+      .catch((error) => {
+        const {
+          response: {
+            data: { detail },
+          },
+        } = error;
+        setErrorData({
+          title: SIGNUP_ERROR_ALERT,
+          list: [detail],
+        });
+        return;
+      });
+  }
+
+  return (
+    <Form.Root
+      onSubmit={(event: FormEvent<HTMLFormElement>) => {
+        if (password === "") {
+          event.preventDefault();
+          return;
+        }
+
+        const data = Object.fromEntries(new FormData(event.currentTarget));
+        event.preventDefault();
+      }}
+      className="h-full w-full"
+    >
+      <div className="flex h-full w-full flex-col items-center justify-center bg-muted">
+        <div className="flex w-72 flex-col items-center justify-center gap-2">
+          <span className="mb-4 text-5xl">⛓️</span>
+          <span className="mb-6 text-2xl font-semibold text-primary">
+            Sign up to Langflow
+          </span>
+          <div className="mb-3 w-full">
+            <Form.Field name="username">
+              <Form.Label className="data-[invalid]:label-invalid">
+                Username <span className="font-medium text-destructive">*</span>
+              </Form.Label>
+
+              <Form.Control asChild>
+                <Input
+                  type="username"
+                  onChange={({ target: { value } }) => {
+                    handleInput({ target: { name: "username", value } });
+                  }}
+                  value={username}
+                  className="w-full"
+                  required
+                  placeholder="Username"
+                />
+              </Form.Control>
+
+              <Form.Message match="valueMissing" className="field-invalid">
+                Please enter your username
+              </Form.Message>
+            </Form.Field>
+          </div>
+          <div className="mb-3 w-full">
+            <Form.Field name="password" serverInvalid={password != cnfPassword}>
+              <Form.Label className="data-[invalid]:label-invalid">
+                Password <span className="font-medium text-destructive">*</span>
+              </Form.Label>
+              <InputComponent
+                onChange={(value) => {
+                  handleInput({ target: { name: "password", value } });
+                }}
+                value={password}
+                isForm
+                password={true}
+                required
+                placeholder="Password"
+                className="w-full"
+              />
+
+              <Form.Message className="field-invalid" match="valueMissing">
+                Please enter a password
+              </Form.Message>
+
+              {password != cnfPassword && (
+                <Form.Message className="field-invalid">
+                  Passwords do not match
+                </Form.Message>
+              )}
+            </Form.Field>
+          </div>
+          <div className="w-full">
+            <Form.Field
+              name="confirmpassword"
+              serverInvalid={password != cnfPassword}
+            >
+              <Form.Label className="data-[invalid]:label-invalid">
+                Confirm your password{" "}
+                <span className="font-medium text-destructive">*</span>
+              </Form.Label>
+
+              <InputComponent
+                onChange={(value) => {
+                  handleInput({ target: { name: "cnfPassword", value } });
+                }}
+                value={cnfPassword}
+                isForm
+                password={true}
+                required
+                placeholder="Confirm your password"
+                className="w-full"
+              />
+
+              <Form.Message className="field-invalid" match="valueMissing">
+                Please confirm your password
+              </Form.Message>
+            </Form.Field>
+          </div>
+          <div className="w-full">
+            <Form.Submit asChild>
+              <Button
+                disabled={isDisabled}
+                type="submit"
+                className="mr-3 mt-6 w-full"
+                onClick={() => {
+                  handleSignup();
+                }}
+              >
+                Sign up
+              </Button>
+            </Form.Submit>
+          </div>
+          <div className="w-full">
+            <Link to="/login">
+              <Button className="w-full" variant="outline">
+                Already have an account?&nbsp;<b>Sign in</b>
+              </Button>
+            </Link>
+          </div>
+        </div>
+      </div>
+    </Form.Root>
+  );
+}
diff --git a/src/frontend/src/pages/StorePage/index.tsx b/src/frontend/src/pages/StorePage/index.tsx
index d83c8a174be..926e6886dc3 100644
--- a/src/frontend/src/pages/StorePage/index.tsx
+++ b/src/frontend/src/pages/StorePage/index.tsx
@@ -1,15 +1,14 @@
 import { uniqueId } from "lodash";
 import { useContext, useEffect, useState } from "react";
-import PaginatorComponent from "../../components/PaginatorComponent";
-import ShadTooltip from "../../components/ShadTooltipComponent";
 import CollectionCardComponent from "../../components/cardComponent";
 import IconComponent from "../../components/genericIconComponent";
 import PageLayout from "../../components/pageLayout";
+import ShadTooltip from "../../components/shadTooltipComponent";
 import { SkeletonCardComponent } from "../../components/skeletonCardComponent";
 import { Button } from "../../components/ui/button";
-import { Input } from "../../components/ui/input";
 
-import { Link, useParams } from "react-router-dom";
+import { Link, useNavigate, useParams } from "react-router-dom";
+import PaginatorComponent from "../../components/paginatorComponent";
 import { TagsSelector } from "../../components/tagsSelectorComponent";
 import { Badge } from "../../components/ui/badge";
 import {
@@ -20,14 +19,21 @@ import {
   SelectTrigger,
   SelectValue,
 } from "../../components/ui/select";
+import {
+  APIKEY_ERROR_ALERT,
+  COMPONENTS_ERROR_ALERT,
+  INVALID_API_ERROR_ALERT,
+  NOAPI_ERROR_ALERT,
+} from "../../constants/alerts_constants";
+import { STORE_DESC, STORE_TITLE } from "../../constants/constants";
 import { AuthContext } from "../../contexts/authContext";
 import { getStoreComponents, getStoreTags } from "../../controllers/API";
-import StoreApiKeyModal from "../../modals/StoreApiKeyModal";
 import useAlertStore from "../../stores/alertStore";
 import useFlowsManagerStore from "../../stores/flowsManagerStore";
 import { useStoreStore } from "../../stores/storeStore";
 import { storeComponent } from "../../types/store";
 import { cn } from "../../utils/utils";
+import InputSearchComponent from "../MainPage/components/myCollectionComponent/components/inputSearchComponent";
 
 export default function StorePage(): JSX.Element {
   const hasApiKey = useStoreStore((state) => state.hasApiKey);
@@ -40,7 +46,7 @@ export default function StorePage(): JSX.Element {
 
   const setErrorData = useAlertStore((state) => state.setErrorData);
   const setCurrentFlowId = useFlowsManagerStore(
-    (state) => state.setCurrentFlowId
+    (state) => state.setCurrentFlowId,
   );
   const currentFlowId = useFlowsManagerStore((state) => state.currentFlowId);
   const [loading, setLoading] = useState(true);
@@ -58,22 +64,20 @@ export default function StorePage(): JSX.Element {
   const [searchNow, setSearchNow] = useState("");
   const [selectFilter, setSelectFilter] = useState("all");
 
+  const navigate = useNavigate();
+
   useEffect(() => {
     if (!loadingApiKey) {
       if (!hasApiKey) {
         setErrorData({
-          title: "API Key Error",
-          list: [
-            "You don't have an API Key. Please add one to use the Langflow Store.",
-          ],
+          title: APIKEY_ERROR_ALERT,
+          list: [NOAPI_ERROR_ALERT],
         });
         setLoading(false);
       } else if (!validApiKey) {
         setErrorData({
-          title: "API Key Error",
-          list: [
-            "Your API Key is not valid. Please add a valid API Key to use the Langflow Store.",
-          ],
+          title: APIKEY_ERROR_ALERT,
+          list: [INVALID_API_ERROR_ALERT],
         });
       }
     }
@@ -139,19 +143,19 @@ export default function StorePage(): JSX.Element {
           setTotalRowsCount(
             filteredCategories?.length === 0
               ? Number(res?.count ?? 0)
-              : res?.results?.length ?? 0
+              : res?.results?.length ?? 0,
           );
         }
       })
       .catch((err) => {
-        if (err.response.status === 403 || err.response.status === 401) {
+        if (err.response?.status === 403 || err.response?.status === 401) {
           setValidApiKey(false);
         } else {
           setSearchData([]);
           setTotalRowsCount(0);
           setLoading(false);
           setErrorData({
-            title: "Error getting components.",
+            title: COMPONENTS_ERROR_ALERT,
             list: [err["response"]["data"]["detail"]],
           });
         }
@@ -171,61 +175,46 @@ export default function StorePage(): JSX.Element {
   return (
     <PageLayout
       betaIcon
-      title="Langflow Store"
-      description="Search flows and components from the community."
+      title={STORE_TITLE}
+      description={STORE_DESC}
       button={
-        <>
-          {StoreApiKeyModal && (
-            <StoreApiKeyModal disabled={loading}>
-              <Button
-                disabled={loading}
-                className={cn(
-                  `${!validApiKey ? "animate-pulse border-error" : ""}`,
-                  loading ? "cursor-not-allowed" : ""
-                )}
-                variant="primary"
-              >
-                <IconComponent name="Key" className="mr-2 w-4" />
-                API Key
-              </Button>
-            </StoreApiKeyModal>
+        <Button
+          data-testid="api-key-button-store"
+          disabled={loading}
+          className={cn(
+            `${!validApiKey ? "animate-pulse border-error" : ""}`,
+            loading ? "cursor-not-allowed" : "",
           )}
-        </>
+          variant="primary"
+          onClick={() => {
+            navigate("/settings/general/api");
+          }}
+        >
+          <IconComponent name="Key" className="mr-2 w-4" />
+          API Key
+        </Button>
       }
     >
       <div className="flex h-full w-full flex-col justify-between">
         <div className="flex w-full flex-col gap-4 p-0">
           <div className="flex items-end gap-4">
-            <div className="relative h-12 w-[40%]">
-              <Input
-                disabled={loading}
-                placeholder="Search Flows and Components"
-                className="absolute h-12 pl-5 pr-12"
-                onChange={(e) => {
-                  setInputText(e.target.value);
-                }}
-                onKeyDown={(e) => {
-                  if (e.key === "Enter") {
-                    setSearchNow(uniqueId());
-                  }
-                }}
-                value={inputText}
-              />
-              <button
-                disabled={loading}
-                className="absolute bottom-0 right-4 top-0 my-auto h-6 cursor-pointer stroke-1 text-muted-foreground"
-                onClick={() => {
+            <InputSearchComponent
+              loading={loading}
+              divClasses="relative h-12 w-[40%]"
+              value={inputText}
+              onChange={(e) => setInputText(e.target.value)}
+              onKeyDown={(e) => {
+                if (e.key === "Enter") {
                   setSearchNow(uniqueId());
-                }}
-              >
-                <IconComponent
-                  name={loading ? "Loader2" : "Search"}
-                  className={loading ? " animate-spin cursor-not-allowed" : ""}
-                />
-              </button>
-            </div>
+                }
+              }}
+              onClick={() => {
+                setSearchNow(uniqueId());
+              }}
+            />
             <div className="ml-4 flex w-full gap-2 border-b border-border">
               <button
+                data-testid="all-button-store"
                 disabled={loading}
                 onClick={() => {
                   setTabActive("All");
@@ -233,13 +222,14 @@ export default function StorePage(): JSX.Element {
                 className={
                   (tabActive === "All"
                     ? "border-b-2 border-primary p-3"
-                    : " border-b-2 border-transparent p-3 text-muted-foreground hover:text-primary") +
-                  (loading ? " cursor-not-allowed " : "")
+                    : "border-b-2 border-transparent p-3 text-muted-foreground hover:text-primary") +
+                  (loading ? " cursor-not-allowed" : "")
                 }
               >
                 All
               </button>
               <button
+                data-testid="flows-button-store"
                 disabled={loading}
                 onClick={() => {
                   resetPagination();
@@ -248,13 +238,14 @@ export default function StorePage(): JSX.Element {
                 className={
                   (tabActive === "Flows"
                     ? "border-b-2 border-primary p-3"
-                    : " border-b-2 border-transparent p-3 text-muted-foreground hover:text-primary") +
-                  (loading ? " cursor-not-allowed " : "")
+                    : "border-b-2 border-transparent p-3 text-muted-foreground hover:text-primary") +
+                  (loading ? " cursor-not-allowed" : "")
                 }
               >
                 Flows
               </button>
               <button
+                data-testid="components-button-store"
                 disabled={loading}
                 onClick={() => {
                   resetPagination();
@@ -263,8 +254,8 @@ export default function StorePage(): JSX.Element {
                 className={
                   (tabActive === "Components"
                     ? "border-b-2 border-primary p-3"
-                    : " border-b-2 border-transparent p-3 text-muted-foreground hover:text-primary") +
-                  (loading ? " cursor-not-allowed " : "")
+                    : "border-b-2 border-transparent p-3 text-muted-foreground hover:text-primary") +
+                  (loading ? " cursor-not-allowed" : "")
                 }
               >
                 Components
@@ -341,7 +332,7 @@ export default function StorePage(): JSX.Element {
                 setPageOrder(e);
               }}
             >
-              <SelectTrigger>
+              <SelectTrigger data-testid="select-order-store">
                 <SelectValue placeholder="Popular" />
               </SelectTrigger>
               <SelectContent>
@@ -362,6 +353,10 @@ export default function StorePage(): JSX.Element {
                       data={item}
                       authorized={validApiKey}
                       disabled={loading}
+                      playground={
+                        item.last_tested_version?.includes("1.0.0") &&
+                        !item.is_component
+                      }
                     />
                   </>
                 );
diff --git a/src/frontend/src/pages/ViewPage/index.tsx b/src/frontend/src/pages/ViewPage/index.tsx
index 2e6ac9bacd6..5498b77bd1e 100644
--- a/src/frontend/src/pages/ViewPage/index.tsx
+++ b/src/frontend/src/pages/ViewPage/index.tsx
@@ -6,7 +6,7 @@ import Page from "../FlowPage/components/PageComponent";
 export default function ViewPage() {
   const currentFlow = useFlowsManagerStore((state) => state.currentFlow);
   const setCurrentFlowId = useFlowsManagerStore(
-    (state) => state.setCurrentFlowId
+    (state) => state.setCurrentFlowId,
   );
   const { id } = useParams();
 
diff --git a/src/frontend/src/pages/deleteAccountPage/index.tsx b/src/frontend/src/pages/deleteAccountPage/index.tsx
deleted file mode 100644
index af219209b0f..00000000000
--- a/src/frontend/src/pages/deleteAccountPage/index.tsx
+++ /dev/null
@@ -1,59 +0,0 @@
-import { useState } from "react";
-import { Button } from "../../components/ui/button";
-import { Input } from "../../components/ui/input";
-import BaseModal from "../../modals/baseModal";
-
-export default function DeleteAccountPage() {
-  const [showConfirmation, setShowConfirmation] = useState(false);
-
-  const handleDeleteAccount = () => {
-    // Implement your account deletion logic here
-    // For example, make an API call to delete the account
-    // Upon successful deletion, you can redirect the user to another page
-    console.log("Account deleted!");
-    // Implement the logic to redirect the user after account deletion.
-    // For example, use react-router-dom's useHistory hook.
-  };
-
-  return (
-    <div className="flex h-full w-full flex-col items-center justify-center bg-muted">
-      <div className="flex w-72 flex-col items-center justify-center gap-2">
-        <span className="mb-4 text-5xl">⛓️</span>
-        <span className="mb-4 text-center text-2xl font-semibold text-primary">
-          Delete your account
-        </span>
-        <Input className="bg-background" placeholder="Confirm password" />
-
-        <BaseModal
-          open={showConfirmation}
-          setOpen={setShowConfirmation}
-          size="x-small"
-        >
-          <BaseModal.Header description="This action is irreversible and will permanently erase all your data and information associated with the account. ">
-            <h3>Are you sure ?</h3>
-          </BaseModal.Header>
-          <BaseModal.Trigger>
-            <Button
-              variant="default"
-              className="w-full hover:bg-status-red"
-              onClick={() => setShowConfirmation(true)}
-            >
-              Delete account
-            </Button>
-          </BaseModal.Trigger>
-          <BaseModal.Content>
-            <div className="flex h-full w-full flex-col justify-end">
-              <Button
-                variant="default"
-                className="w-full hover:bg-status-red"
-                onClick={() => handleDeleteAccount()}
-              >
-                Delete account
-              </Button>
-            </div>
-          </BaseModal.Content>
-        </BaseModal>
-      </div>
-    </div>
-  );
-}
diff --git a/src/frontend/src/pages/loginPage/index.tsx b/src/frontend/src/pages/loginPage/index.tsx
deleted file mode 100644
index f7cdbd19012..00000000000
--- a/src/frontend/src/pages/loginPage/index.tsx
+++ /dev/null
@@ -1,135 +0,0 @@
-import * as Form from "@radix-ui/react-form";
-import { useContext, useState } from "react";
-import { Link, useNavigate } from "react-router-dom";
-import InputComponent from "../../components/inputComponent";
-import { Button } from "../../components/ui/button";
-import { Input } from "../../components/ui/input";
-import { CONTROL_LOGIN_STATE } from "../../constants/constants";
-import { AuthContext } from "../../contexts/authContext";
-import { onLogin } from "../../controllers/API";
-import useAlertStore from "../../stores/alertStore";
-import { LoginType } from "../../types/api";
-import {
-  inputHandlerEventType,
-  loginInputStateType,
-} from "../../types/components";
-
-export default function LoginPage(): JSX.Element {
-  const [inputState, setInputState] =
-    useState<loginInputStateType>(CONTROL_LOGIN_STATE);
-
-  const { password, username } = inputState;
-  const { login, isAuthenticated, setUserData, setIsAdmin } =
-    useContext(AuthContext);
-  const navigate = useNavigate();
-  const setErrorData = useAlertStore((state) => state.setErrorData);
-
-  function handleInput({
-    target: { name, value },
-  }: inputHandlerEventType): void {
-    setInputState((prev) => ({ ...prev, [name]: value }));
-  }
-
-  function signIn() {
-    const user: LoginType = {
-      username: username.trim(),
-      password: password.trim(),
-    };
-    onLogin(user)
-      .then((user) => {
-        login(user.access_token);
-        navigate("/");
-      })
-      .catch((error) => {
-        setErrorData({
-          title: "Error signing in",
-          list: [error["response"]["data"]["detail"]],
-        });
-      });
-  }
-
-  return (
-    <Form.Root
-      onSubmit={(event) => {
-        if (password === "") {
-          event.preventDefault();
-          return;
-        }
-        signIn();
-        const data = Object.fromEntries(new FormData(event.currentTarget));
-        event.preventDefault();
-      }}
-      className="h-full w-full"
-    >
-      <div className="flex h-full w-full flex-col items-center justify-center bg-muted">
-        <div className="flex w-72 flex-col items-center justify-center gap-2">
-          <span className="mb-4 text-5xl">⛓️</span>
-          <span className="mb-6 text-2xl font-semibold text-primary">
-            Sign in to Langflow
-          </span>
-          <div className="mb-3 w-full">
-            <Form.Field name="username">
-              <Form.Label className="data-[invalid]:label-invalid">
-                Username <span className="font-medium text-destructive">*</span>
-              </Form.Label>
-
-              <Form.Control asChild>
-                <Input
-                  type="username"
-                  onChange={({ target: { value } }) => {
-                    handleInput({ target: { name: "username", value } });
-                  }}
-                  value={username}
-                  className="w-full"
-                  required
-                  placeholder="Username"
-                />
-              </Form.Control>
-
-              <Form.Message match="valueMissing" className="field-invalid">
-                Please enter your username
-              </Form.Message>
-            </Form.Field>
-          </div>
-          <div className="mb-3 w-full">
-            <Form.Field name="password">
-              <Form.Label className="data-[invalid]:label-invalid">
-                Password <span className="font-medium text-destructive">*</span>
-              </Form.Label>
-
-              <InputComponent
-                onChange={(value) => {
-                  handleInput({ target: { name: "password", value } });
-                }}
-                value={password}
-                isForm
-                password={true}
-                required
-                placeholder="Password"
-                className="w-full"
-              />
-
-              <Form.Message className="field-invalid" match="valueMissing">
-                Please enter your password
-              </Form.Message>
-            </Form.Field>
-          </div>
-          <div className="w-full">
-            <Form.Submit asChild>
-              <Button className="mr-3 mt-6 w-full" type="submit">
-                Sign in
-              </Button>
-            </Form.Submit>
-          </div>
-          <div className="w-full">
-            <Link to="/signup">
-              <Button className="w-full" variant="outline" type="button">
-                Don't have an account?&nbsp;<b>Sign Up</b>
-              </Button>
-            </Link>
-          </div>
-        </div>
-      </div>
-    </Form.Root>
-  );
-}
diff --git a/src/frontend/src/pages/signUpPage/index.tsx b/src/frontend/src/pages/signUpPage/index.tsx
deleted file mode 100644
index d731eee9e57..00000000000
--- a/src/frontend/src/pages/signUpPage/index.tsx
+++ /dev/null
@@ -1,193 +0,0 @@
-import * as Form from "@radix-ui/react-form";
-import { FormEvent, useEffect, useState } from "react";
-import { Link, useNavigate } from "react-router-dom";
-import InputComponent from "../../components/inputComponent";
-import { Button } from "../../components/ui/button";
-import { Input } from "../../components/ui/input";
-import {
-  CONTROL_INPUT_STATE,
-  SIGN_UP_SUCCESS,
-} from "../../constants/constants";
-import { addUser } from "../../controllers/API";
-import useAlertStore from "../../stores/alertStore";
-import {
-  UserInputType,
-  inputHandlerEventType,
-  signUpInputStateType,
-} from "../../types/components";
-
-export default function SignUp(): JSX.Element {
-  const [inputState, setInputState] =
-    useState<signUpInputStateType>(CONTROL_INPUT_STATE);
-
-  const [isDisabled, setDisableBtn] = useState<boolean>(true);
-
-  const { password, cnfPassword, username } = inputState;
-  const setSuccessData = useAlertStore((state) => state.setSuccessData);
-  const setErrorData = useAlertStore((state) => state.setErrorData);
-  const navigate = useNavigate();
-
-  function handleInput({
-    target: { name, value },
-  }: inputHandlerEventType): void {
-    setInputState((prev) => ({ ...prev, [name]: value }));
-  }
-
-  useEffect(() => {
-    if (password !== cnfPassword) return setDisableBtn(true);
-    if (password === "" || cnfPassword === "") return setDisableBtn(true);
-    if (username === "") return setDisableBtn(true);
-    setDisableBtn(false);
-  }, [password, cnfPassword, username, handleInput]);
-
-  function handleSignup(): void {
-    const { username, password } = inputState;
-    const newUser: UserInputType = {
-      username: username.trim(),
-      password: password.trim(),
-    };
-    addUser(newUser)
-      .then((user) => {
-        setSuccessData({
-          title: SIGN_UP_SUCCESS,
-        });
-        navigate("/login");
-      })
-      .catch((error) => {
-        const {
-          response: {
-            data: { detail },
-          },
-        } = error;
-        setErrorData({
-          title: "Error signing up",
-          list: [detail],
-        });
-        return;
-      });
-  }
-
-  return (
-    <Form.Root
-      onSubmit={(event: FormEvent<HTMLFormElement>) => {
-        if (password === "") {
-          event.preventDefault();
-          return;
-        }
-
-        const data = Object.fromEntries(new FormData(event.currentTarget));
-        event.preventDefault();
-      }}
-      className="h-full w-full"
-    >
-      <div className="flex h-full w-full flex-col items-center justify-center bg-muted">
-        <div className="flex w-72 flex-col items-center justify-center gap-2">
-          <span className="mb-4 text-5xl">⛓️</span>
-          <span className="mb-6 text-2xl font-semibold text-primary">
-            Sign up to Langflow
-          </span>
-          <div className="mb-3 w-full">
-            <Form.Field name="username">
-              <Form.Label className="data-[invalid]:label-invalid">
-                Username <span className="font-medium text-destructive">*</span>
-              </Form.Label>
-
-              <Form.Control asChild>
-                <Input
-                  type="username"
-                  onChange={({ target: { value } }) => {
-                    handleInput({ target: { name: "username", value } });
-                  }}
-                  value={username}
-                  className="w-full"
-                  required
-                  placeholder="Username"
-                />
-              </Form.Control>
-
-              <Form.Message match="valueMissing" className="field-invalid">
-                Please enter your username
-              </Form.Message>
-            </Form.Field>
-          </div>
-          <div className="mb-3 w-full">
-            <Form.Field name="password" serverInvalid={password != cnfPassword}>
-              <Form.Label className="data-[invalid]:label-invalid">
-                Password <span className="font-medium text-destructive">*</span>
-              </Form.Label>
-              <InputComponent
-                onChange={(value) => {
-                  handleInput({ target: { name: "password", value } });
-                }}
-                value={password}
-                isForm
-                password={true}
-                required
-                placeholder="Password"
-                className="w-full"
-              />
-
-              <Form.Message className="field-invalid" match="valueMissing">
-                Please enter a password
-              </Form.Message>
-
-              {password != cnfPassword && (
-                <Form.Message className="field-invalid">
-                  Passwords do not match
-                </Form.Message>
-              )}
-            </Form.Field>
-          </div>
-          <div className="w-full">
-            <Form.Field
-              name="confirmpassword"
-              serverInvalid={password != cnfPassword}
-            >
-              <Form.Label className="data-[invalid]:label-invalid">
-                Confirm your password{" "}
-                <span className="font-medium text-destructive">*</span>
-              </Form.Label>
-
-              <InputComponent
-                onChange={(value) => {
-                  handleInput({ target: { name: "cnfPassword", value } });
-                }}
-                value={cnfPassword}
-                isForm
-                password={true}
-                required
-                placeholder="Confirm your password"
-                className="w-full"
-              />
-
-              <Form.Message className="field-invalid" match="valueMissing">
-                Please confirm your password
-              </Form.Message>
-            </Form.Field>
-          </div>
-          <div className="w-full">
-            <Form.Submit asChild>
-              <Button
-                disabled={isDisabled}
-                type="submit"
-                className="mr-3 mt-6 w-full"
-                onClick={() => {
-                  handleSignup();
-                }}
-              >
-                Sign up
-              </Button>
-            </Form.Submit>
-          </div>
-          <div className="w-full">
-            <Link to="/login">
-              <Button className="w-full" variant="outline">
-                Already have an account?&nbsp;<b>Sign in</b>
-              </Button>
-            </Link>
-          </div>
-        </div>
-      </div>
-    </Form.Root>
-  );
-}
diff --git a/src/frontend/src/prettierrc.js b/src/frontend/src/prettierrc.js
deleted file mode 100644
index 0be5884c6e1..00000000000
--- a/src/frontend/src/prettierrc.js
+++ /dev/null
@@ -1,4 +0,0 @@
-module.exports = {
-  // ...
-  organizeImportsSkipDestructiveCodeActions: true,
-};
diff --git a/src/frontend/src/routes.tsx b/src/frontend/src/routes.tsx
index b48e5147d2a..a1997e51026 100644
--- a/src/frontend/src/routes.tsx
+++ b/src/frontend/src/routes.tsx
@@ -1,159 +1,200 @@
-import { useEffect } from "react";
-import { Route, Routes, useNavigate } from "react-router-dom";
+import { Suspense, lazy } from "react";
+import { Navigate, Route, Routes } from "react-router-dom";
 import { ProtectedAdminRoute } from "./components/authAdminGuard";
 import { ProtectedRoute } from "./components/authGuard";
 import { ProtectedLoginRoute } from "./components/authLoginGuard";
 import { CatchAllRoute } from "./components/catchAllRoutes";
+import LoadingComponent from "./components/loadingComponent";
 import { StoreGuard } from "./components/storeGuard";
-import AdminPage from "./pages/AdminPage";
-import LoginAdminPage from "./pages/AdminPage/LoginPage";
-import ApiKeysPage from "./pages/ApiKeysPage";
-import FlowPage from "./pages/FlowPage";
-import HomePage from "./pages/MainPage";
-import ComponentsComponent from "./pages/MainPage/components/components";
-import ProfileSettingsPage from "./pages/ProfileSettingsPage";
-import StorePage from "./pages/StorePage";
-import ViewPage from "./pages/ViewPage";
-import DeleteAccountPage from "./pages/deleteAccountPage";
-import LoginPage from "./pages/loginPage";
-import SignUp from "./pages/signUpPage";
+import MessagesPage from "./pages/SettingsPage/pages/messagesPage";
+
+const AdminPage = lazy(() => import("./pages/AdminPage"));
+const LoginAdminPage = lazy(() => import("./pages/AdminPage/LoginPage"));
+const ApiKeysPage = lazy(
+  () => import("./pages/SettingsPage/pages/ApiKeysPage"),
+);
+const DeleteAccountPage = lazy(() => import("./pages/DeleteAccountPage"));
+const FlowPage = lazy(() => import("./pages/FlowPage"));
+const LoginPage = lazy(() => import("./pages/LoginPage"));
+const MyCollectionComponent = lazy(
+  () => import("./pages/MainPage/components/myCollectionComponent"),
+);
+const HomePage = lazy(() => import("./pages/MainPage/pages/mainPage"));
+const PlaygroundPage = lazy(() => import("./pages/Playground"));
+const SettingsPage = lazy(() => import("./pages/SettingsPage"));
+const GeneralPage = lazy(
+  () => import("./pages/SettingsPage/pages/GeneralPage"),
+);
+const GlobalVariablesPage = lazy(
+  () => import("./pages/SettingsPage/pages/GlobalVariablesPage"),
+);
+const ShortcutsPage = lazy(
+  () => import("./pages/SettingsPage/pages/ShortcutsPage"),
+);
+const SignUp = lazy(() => import("./pages/SignUpPage"));
+const StorePage = lazy(() => import("./pages/StorePage"));
+const ViewPage = lazy(() => import("./pages/ViewPage"));
 
 const Router = () => {
-  const navigate = useNavigate();
-  useEffect(() => {
-    // Redirect from root to /flows
-    if (window.location.pathname === "/") {
-      navigate("/flows");
-    }
-  }, [navigate]);
   return (
-    <Routes>
-      <Route
-        path="/"
-        element={
-          <ProtectedRoute>
-            <HomePage />
-          </ProtectedRoute>
-        }
-      >
-        <Route
-          path="flows"
-          element={<ComponentsComponent key="flows" is_component={false} />}
-        />
-        <Route
-          path="components"
-          element={<ComponentsComponent key="components" />}
-        />
-      </Route>
-      <Route
-        path="/store"
-        element={
-          <ProtectedRoute>
-            <StoreGuard>
-              <StorePage />
-            </StoreGuard>
-          </ProtectedRoute>
-        }
-      />
-      <Route
-        path="/store/:id/"
-        element={
-          <ProtectedRoute>
-            <StoreGuard>
-              <StorePage />
-            </StoreGuard>
-          </ProtectedRoute>
-        }
-      />
-
-      <Route path="/flow/:id/">
+    <Suspense
+      fallback={
+        <div className="loading-page-panel">
+          <LoadingComponent remSize={50} />
+        </div>
+      }
+    >
+      <Routes>
         <Route
-          path=""
+          path="/"
           element={
             <ProtectedRoute>
-              <FlowPage />
+              <HomePage />
             </ProtectedRoute>
           }
-        />
+        >
+          <Route index element={<Navigate replace to={"all"} />} />
+          <Route
+            path="flows/*"
+            element={<MyCollectionComponent key="flows" type="flow" />}
+          />
+          <Route
+            path="components/*"
+            element={
+              <MyCollectionComponent key="components" type="component" />
+            }
+          />
+          <Route
+            path="all/*"
+            element={<MyCollectionComponent key="all" type="all" />}
+          />
+        </Route>
         <Route
-          path="view"
+          path="/settings"
           element={
             <ProtectedRoute>
-              <ViewPage />
+              <SettingsPage />
             </ProtectedRoute>
           }
-        />
-      </Route>
-      <Route
-        path="*"
-        element={
-          <ProtectedRoute>
-            <CatchAllRoute />
-          </ProtectedRoute>
-        }
-      />
-
-      <Route
-        path="/login"
-        element={
-          <ProtectedLoginRoute>
-            <LoginPage />
-          </ProtectedLoginRoute>
-        }
-      />
-      <Route
-        path="/signup"
-        element={
-          <ProtectedLoginRoute>
-            <SignUp />
-          </ProtectedLoginRoute>
-        }
-      />
-      <Route
-        path="/login/admin"
-        element={
-          <ProtectedLoginRoute>
-            <LoginAdminPage />
-          </ProtectedLoginRoute>
-        }
-      />
-
-      <Route
-        path="/admin"
-        element={
-          <ProtectedAdminRoute>
-            <AdminPage />
-          </ProtectedAdminRoute>
-        }
-      />
-
-      <Route path="/account">
+        >
+          <Route index element={<Navigate replace to={"general"} />} />
+          <Route path="global-variables" element={<GlobalVariablesPage />} />
+          <Route path="api-keys" element={<ApiKeysPage />} />
+          <Route path="general/:scrollId?" element={<GeneralPage />} />
+          <Route path="shortcuts" element={<ShortcutsPage />} />
+          <Route path="messages" element={<MessagesPage />} />
+        </Route>
         <Route
-          path="settings"
+          path="/store"
           element={
             <ProtectedRoute>
-              <ProfileSettingsPage />
+              <StoreGuard>
+                <StorePage />
+              </StoreGuard>
             </ProtectedRoute>
           }
         />
         <Route
-          path="delete"
+          path="/store/:id/"
           element={
             <ProtectedRoute>
-              <DeleteAccountPage />
+              <StoreGuard>
+                <StorePage />
+              </StoreGuard>
             </ProtectedRoute>
           }
-        ></Route>
+        />
+        <Route path="/playground/:id/">
+          <Route
+            path=""
+            element={
+              <ProtectedRoute>
+                <PlaygroundPage />
+              </ProtectedRoute>
+            }
+          />
+        </Route>
+        <Route path="/flow/:id/">
+          <Route
+            path="*"
+            element={
+              <ProtectedRoute>
+                <FlowPage />
+              </ProtectedRoute>
+            }
+          />
+          <Route
+            path=""
+            element={
+              <ProtectedRoute>
+                <FlowPage />
+              </ProtectedRoute>
+            }
+          />
+          <Route
+            path="view"
+            element={
+              <ProtectedRoute>
+                <ViewPage />
+              </ProtectedRoute>
+            }
+          />
+        </Route>
         <Route
-          path="api-keys"
+          path="*"
           element={
             <ProtectedRoute>
-              <ApiKeysPage />
+              <CatchAllRoute />
             </ProtectedRoute>
           }
-        ></Route>
-      </Route>
-    </Routes>
+        />
+
+        <Route
+          path="/login"
+          element={
+            <ProtectedLoginRoute>
+              <LoginPage />
+            </ProtectedLoginRoute>
+          }
+        />
+        <Route
+          path="/signup"
+          element={
+            <ProtectedLoginRoute>
+              <SignUp />
+            </ProtectedLoginRoute>
+          }
+        />
+        <Route
+          path="/login/admin"
+          element={
+            <ProtectedLoginRoute>
+              <LoginAdminPage />
+            </ProtectedLoginRoute>
+          }
+        />
+
+        <Route
+          path="/admin"
+          element={
+            <ProtectedAdminRoute>
+              <AdminPage />
+            </ProtectedAdminRoute>
+          }
+        />
+
+        <Route path="/account">
+          <Route
+            path="delete"
+            element={
+              <ProtectedRoute>
+                <DeleteAccountPage />
+              </ProtectedRoute>
+            }
+          ></Route>
+        </Route>
+      </Routes>
+    </Suspense>
   );
 };
 
diff --git a/src/frontend/src/shared/components/caseComponent/index.tsx b/src/frontend/src/shared/components/caseComponent/index.tsx
new file mode 100644
index 00000000000..c5330af3dcc
--- /dev/null
+++ b/src/frontend/src/shared/components/caseComponent/index.tsx
@@ -0,0 +1,15 @@
+import { memo } from "react";
+
+type BooleanLike = boolean | string | number | null | undefined;
+
+type Props = {
+  condition: (() => BooleanLike) | BooleanLike;
+  children: React.ReactNode | any;
+};
+
+export const Case = memo(({ condition, children }: Props) => {
+  const conditionResult =
+    typeof condition === "function" ? condition() : condition;
+
+  return conditionResult ? children : null;
+});
diff --git a/src/frontend/src/shared/components/suspenseImageComponent/index.tsx b/src/frontend/src/shared/components/suspenseImageComponent/index.tsx
new file mode 100644
index 00000000000..9299b203585
--- /dev/null
+++ b/src/frontend/src/shared/components/suspenseImageComponent/index.tsx
@@ -0,0 +1,43 @@
+type SuspenseImageComponentProps = { src: string };
+
+const imgCache = {
+  __cache: {},
+  read(src) {
+    if (!this.__cache[src]) {
+      this.__cache[src] = new Promise((resolve, reject) => {
+        const img = new Image();
+        img.onload = () => {
+          this.__cache[src] = true;
+          resolve(true);
+        };
+        img.onerror = () => {
+          delete this.__cache[src]; // Remove failed cache entry
+          reject(new Error("Image failed to load"));
+        };
+        img.src = src;
+      });
+    }
+    if (this.__cache[src] instanceof Promise) {
+      throw this.__cache[src];
+    }
+    return this.__cache[src];
+  },
+};
+
+const SuspenseImageComponent = ({
+  src,
+  ...rest
+}: SuspenseImageComponentProps) => {
+  try {
+    imgCache.read(src);
+  } catch (promise) {
+    if (promise instanceof Promise) {
+      throw promise;
+    }
+    throw new Error("Unexpected error in image loading");
+  }
+
+  return <img src={src} {...rest} />;
+};
+
+export default SuspenseImageComponent;
diff --git a/src/frontend/src/shared/components/textOutputView/index.tsx b/src/frontend/src/shared/components/textOutputView/index.tsx
new file mode 100644
index 00000000000..57ad7feb05b
--- /dev/null
+++ b/src/frontend/src/shared/components/textOutputView/index.tsx
@@ -0,0 +1,24 @@
+import { Textarea } from "../../../components/ui/textarea";
+
+const TextOutputView = ({
+  left,
+  value,
+}: {
+  left: boolean | undefined;
+  value: any;
+}) => {
+  if (typeof value === "object" && Object.keys(value).includes("text")) {
+    value = value.text;
+  }
+  return (
+    <Textarea
+      className={`w-full custom-scroll ${left ? "min-h-32" : "h-full"}`}
+      placeholder={"Empty"}
+      readOnly
+      // update to real value on flowPool
+      value={value}
+    />
+  );
+};
+
+export default TextOutputView;
diff --git a/src/frontend/src/stores/alertStore.ts b/src/frontend/src/stores/alertStore.ts
index 63c58e28cf6..03a12050c8e 100644
--- a/src/frontend/src/stores/alertStore.ts
+++ b/src/frontend/src/stores/alertStore.ts
@@ -2,10 +2,11 @@ import { uniqueId } from "lodash";
 import { create } from "zustand";
 import { AlertItemType } from "../types/alerts";
 import { AlertStoreType } from "../types/zustand/alert";
+import { customStringify } from "../utils/reactflowUtils";
 
 const pushNotificationList = (
   list: AlertItemType[],
-  notification: AlertItemType
+  notification: AlertItemType,
 ) => {
   list.unshift(notification);
   return list;
@@ -13,67 +14,130 @@ const pushNotificationList = (
 
 const useAlertStore = create<AlertStoreType>((set, get) => ({
   errorData: { title: "", list: [] },
-  errorOpen: false,
   noticeData: { title: "", link: "" },
-  noticeOpen: false,
   successData: { title: "" },
-  successOpen: false,
   notificationCenter: false,
   notificationList: [],
+  tempNotificationList: [],
   loading: true,
   setErrorData: (newState: { title: string; list?: Array<string> }) => {
     if (newState.title && newState.title !== "") {
       set({
         errorData: newState,
-        errorOpen: true,
         notificationCenter: true,
-        notificationList: pushNotificationList(get().notificationList, {
-          type: "error",
-          title: newState.title,
-          list: newState.list,
-          id: uniqueId(),
-        }),
+        notificationList: [
+          {
+            type: "error",
+            title: newState.title,
+            list: newState.list,
+            id: uniqueId(),
+          },
+          ...get().notificationList,
+        ],
       });
+      const tempList = get().tempNotificationList;
+      if (
+        !tempList.some((item) => {
+          return (
+            customStringify({
+              title: item.title,
+              type: item.type,
+              list: item.list,
+            }) === customStringify({ ...newState, type: "error" })
+          );
+        })
+      ) {
+        set({
+          tempNotificationList: [
+            {
+              type: "error",
+              title: newState.title,
+              list: newState.list,
+              id: uniqueId(),
+            },
+            ...get().tempNotificationList,
+          ],
+        });
+      }
     }
   },
-  setErrorOpen: (newState: boolean) => {
-    set({ errorOpen: newState });
-  },
   setNoticeData: (newState: { title: string; link?: string }) => {
     if (newState.title && newState.title !== "") {
       set({
         noticeData: newState,
-        noticeOpen: true,
         notificationCenter: true,
-        notificationList: pushNotificationList(get().notificationList, {
-          type: "notice",
-          title: newState.title,
-          link: newState.link,
-          id: uniqueId(),
-        }),
+        notificationList: [
+          {
+            type: "notice",
+            title: newState.title,
+            link: newState.link,
+            id: uniqueId(),
+          },
+          ...get().notificationList,
+        ],
       });
+      const tempList = get().tempNotificationList;
+      if (
+        !tempList.some((item) => {
+          return (
+            customStringify({
+              title: item.title,
+              type: item.type,
+              link: item.link,
+            }) === customStringify({ ...newState, type: "notice" })
+          );
+        })
+      ) {
+        set({
+          tempNotificationList: [
+            {
+              type: "notice",
+              title: newState.title,
+              link: newState.link,
+              id: uniqueId(),
+            },
+            ...get().tempNotificationList,
+          ],
+        });
+      }
     }
   },
-  setNoticeOpen: (newState: boolean) => {
-    set({ noticeOpen: newState });
-  },
   setSuccessData: (newState: { title: string }) => {
     if (newState.title && newState.title !== "") {
       set({
         successData: newState,
-        successOpen: true,
         notificationCenter: true,
-        notificationList: pushNotificationList(get().notificationList, {
-          type: "success",
-          title: newState.title,
-          id: uniqueId(),
-        }),
+        notificationList: [
+          {
+            type: "success",
+            title: newState.title,
+            id: uniqueId(),
+          },
+          ...get().notificationList,
+        ],
       });
+      const tempList = get().tempNotificationList;
+      if (
+        !tempList.some((item) => {
+          return (
+            customStringify({ title: item.title, type: item.type }) ===
+            customStringify({ ...newState, type: "success" })
+          );
+        })
+      ) {
+        set({
+          tempNotificationList: [
+            {
+              type: "success",
+              title: newState.title,
+              id: uniqueId(),
+            },
+            ...get().tempNotificationList,
+          ],
+        });
+      }
     }
   },
-  setSuccessOpen: (newState: boolean) => {
-    set({ successOpen: newState });
-  },
   setNotificationCenter: (newState: boolean) => {
     set({ notificationCenter: newState });
   },
@@ -83,13 +147,23 @@ const useAlertStore = create<AlertStoreType>((set, get) => ({
   removeFromNotificationList: (index: string) => {
     set({
       notificationList: get().notificationList.filter(
-        (item) => item.id !== index
+        (item) => item.id !== index,
       ),
     });
   },
   setLoading: (newState: boolean) => {
     set({ loading: newState });
   },
+  clearTempNotificationList: () => {
+    set({ tempNotificationList: [] });
+  },
+  removeFromTempNotificationList: (index: string) => {
+    set({
+      tempNotificationList: get().tempNotificationList.filter(
+        (item) => item.id !== index,
+      ),
+    });
+  },
 }));
 
 export default useAlertStore;
diff --git a/src/frontend/src/stores/darkStore.ts b/src/frontend/src/stores/darkStore.ts
new file mode 100644
index 00000000000..8c9c109511b
--- /dev/null
+++ b/src/frontend/src/stores/darkStore.ts
@@ -0,0 +1,45 @@
+import { create } from "zustand";
+import { getRepoStars, getVersion } from "../controllers/API";
+import { DarkStoreType } from "../types/zustand/dark";
+
+const startedStars = Number(window.localStorage.getItem("githubStars")) ?? 0;
+
+export const useDarkStore = create<DarkStoreType>((set, get) => ({
+  dark: JSON.parse(window.localStorage.getItem("isDark")!) ?? false,
+  stars: startedStars,
+  version: "",
+  setDark: (dark) => {
+    set(() => ({ dark: dark }));
+    window.localStorage.setItem("isDark", dark.toString());
+  },
+  refreshVersion: () => {
+    getVersion().then((data) => {
+      set(() => ({ version: data.version }));
+    });
+  },
+  refreshStars: () => {
+    if (import.meta.env.CI) {
+      window.localStorage.setItem("githubStars", "0");
+      set(() => ({ stars: 0, lastUpdated: new Date() }));
+      return;
+    }
+    let lastUpdated = window.localStorage.getItem("githubStarsLastUpdated");
+    let diff = 0;
+    // check if lastUpdated actually exists
+    if (lastUpdated !== null) {
+      diff = Math.abs(new Date().getTime() - new Date(lastUpdated).getTime());
+    }
+
+    // if lastUpdated is null or the difference is greater than 2 hours
+    if (lastUpdated === null || diff > 7200000) {
+      getRepoStars("langflow-ai", "langflow").then((res) => {
+        window.localStorage.setItem("githubStars", res?.toString() ?? "0");
+        window.localStorage.setItem(
+          "githubStarsLastUpdated",
+          new Date().toString(),
+        );
+        set(() => ({ stars: res, lastUpdated: new Date() }));
+      });
+    }
+  },
+}));
diff --git a/src/frontend/src/stores/darkStore.tsx b/src/frontend/src/stores/darkStore.tsx
deleted file mode 100644
index 6278e59c78c..00000000000
--- a/src/frontend/src/stores/darkStore.tsx
+++ /dev/null
@@ -1,20 +0,0 @@
-import { create } from "zustand";
-import { getRepoStars, getVersion } from "../controllers/API";
-import { DarkStoreType } from "../types/zustand/dark";
-
-export const useDarkStore = create<DarkStoreType>((set) => ({
-  dark: JSON.parse(window.localStorage.getItem("isDark")!) ?? false,
-  stars: 0,
-  version: "",
-  setDark: (dark) => set(() => ({ dark: dark })),
-  refreshVersion: () => {
-    getVersion().then((data) => {
-      set(() => ({ version: data.version }));
-    });
-  },
-  refreshStars: () => {
-    getRepoStars("logspace-ai", "langflow").then((res) => {
-      set(() => ({ stars: res }));
-    });
-  },
-}));
diff --git a/src/frontend/src/stores/flowStore.ts b/src/frontend/src/stores/flowStore.ts
index cb117196fff..df12c944c31 100644
--- a/src/frontend/src/stores/flowStore.ts
+++ b/src/frontend/src/stores/flowStore.ts
@@ -1,4 +1,4 @@
-import { cloneDeep } from "lodash";
+import { cloneDeep, zip } from "lodash";
 import {
   Edge,
   EdgeChange,
@@ -9,55 +9,127 @@ import {
   applyNodeChanges,
 } from "reactflow";
 import { create } from "zustand";
+import {
+  FLOW_BUILD_SUCCESS_ALERT,
+  MISSED_ERROR_ALERT,
+} from "../constants/alerts_constants";
+import { BuildStatus } from "../constants/enums";
+import { getFlowPool } from "../controllers/API";
+import { VertexBuildTypeAPI } from "../types/api";
+import { ChatInputType, ChatOutputType } from "../types/chat";
 import {
   NodeDataType,
   NodeType,
   sourceHandleType,
   targetHandleType,
 } from "../types/flow";
-import { FlowStoreType } from "../types/zustand/flow";
+import { FlowStoreType, VertexLayerElementType } from "../types/zustand/flow";
+import { buildVertices } from "../utils/buildUtils";
 import {
+  checkChatInput,
+  checkOldComponents,
   cleanEdges,
   getHandleId,
   getNodeId,
   scapeJSONParse,
   scapedJSONStringfy,
+  updateGroupRecursion,
+  validateNodes,
 } from "../utils/reactflowUtils";
+import { getInputsAndOutputs } from "../utils/storeUtils";
+import useAlertStore from "./alertStore";
+import { useDarkStore } from "./darkStore";
 import useFlowsManagerStore from "./flowsManagerStore";
 
 // this is our useStore hook that we can use in our components to get parts of the store and call actions
 const useFlowStore = create<FlowStoreType>((set, get) => ({
-  sseData: {},
+  onFlowPage: false,
+  lockChat: false,
+  setLockChat: (lockChat) => {
+    set({ lockChat });
+  },
+  setOnFlowPage: (FlowPage) => set({ onFlowPage: FlowPage }),
   flowState: undefined,
+  flowBuildStatus: {},
   nodes: [],
   edges: [],
   isBuilding: false,
-  isPending: false,
-  isBuilt: false,
+  isPending: true,
+  hasIO: false,
   reactFlowInstance: null,
   lastCopiedSelection: null,
+  flowPool: {},
+  inputs: [],
+  outputs: [],
+  setFlowPool: (flowPool) => {
+    set({ flowPool });
+  },
+  addDataToFlowPool: (data: VertexBuildTypeAPI, nodeId: string) => {
+    let newFlowPool = cloneDeep({ ...get().flowPool });
+    if (!newFlowPool[nodeId]) newFlowPool[nodeId] = [data];
+    else {
+      newFlowPool[nodeId].push(data);
+    }
+    get().setFlowPool(newFlowPool);
+  },
+  getNodePosition: (nodeId: string) => {
+    const node = get().nodes.find((node) => node.id === nodeId);
+    return node?.position || { x: 0, y: 0 };
+  },
+  updateFlowPool: (
+    nodeId: string,
+    data: VertexBuildTypeAPI | ChatOutputType | ChatInputType,
+    buildId?: string,
+  ) => {
+    let newFlowPool = cloneDeep({ ...get().flowPool });
+    if (!newFlowPool[nodeId]) {
+      return;
+    } else {
+      let index = newFlowPool[nodeId].length - 1;
+      if (buildId) {
+        index = newFlowPool[nodeId].findIndex((flow) => flow.id === buildId);
+      }
+      //check if the data is a flowpool object
+      if ((data as VertexBuildTypeAPI).valid !== undefined) {
+        newFlowPool[nodeId][index] = data as VertexBuildTypeAPI;
+      }
+      //update data results
+      else {
+        newFlowPool[nodeId][index].data.message = data as
+          | ChatOutputType
+          | ChatInputType;
+      }
+    }
+    get().setFlowPool(newFlowPool);
+  },
+  CleanFlowPool: () => {
+    get().setFlowPool({});
+  },
   setPending: (isPending) => {
     set({ isPending });
   },
   resetFlow: ({ nodes, edges, viewport }) => {
+    const currentFlow = useFlowsManagerStore.getState().currentFlow;
+    let newEdges = cleanEdges(nodes, edges);
+    const { inputs, outputs } = getInputsAndOutputs(nodes);
     set({
       nodes,
-      edges,
+      edges: newEdges,
       flowState: undefined,
-      sseData: {},
-      isBuilt: false,
+      inputs,
+      outputs,
+      hasIO: inputs.length > 0 || outputs.length > 0,
     });
     get().reactFlowInstance!.setViewport(viewport);
-  },
-  updateSSEData: (sseData) => {
-    set((state) => ({ sseData: { ...state.sseData, ...sseData } }));
+    if (currentFlow) {
+      getFlowPool({ flowId: currentFlow.id }).then((flowPool) => {
+        set({ flowPool: flowPool.data.vertex_builds });
+      });
+    }
   },
   setIsBuilding: (isBuilding) => {
     set({ isBuilding });
   },
-  setIsBuilt: (isBuilt) => {
-    set({ isBuilt });
-  },
   setFlowState: (flowState) => {
     const newFlowState =
       typeof flowState === "function" ? flowState(get().flowState) : flowState;
@@ -81,57 +153,60 @@ const useFlowStore = create<FlowStoreType>((set, get) => ({
       edges: applyEdgeChanges(changes, get().edges),
     });
   },
-  setNodes: (change) => {
+  setNodes: (change, skipSave = false) => {
     let newChange = typeof change === "function" ? change(get().nodes) : change;
     let newEdges = cleanEdges(newChange, get().edges);
+    const { inputs, outputs } = getInputsAndOutputs(newChange);
 
     set({
       edges: newEdges,
       nodes: newChange,
       flowState: undefined,
-      isBuilt: false,
-      sseData: {},
+      inputs,
+      outputs,
+      hasIO: inputs.length > 0 || outputs.length > 0,
     });
 
     const flowsManager = useFlowsManagerStore.getState();
-
-    flowsManager.autoSaveCurrentFlow(
-      newChange,
-      newEdges,
-      get().reactFlowInstance?.getViewport() ?? { x: 0, y: 0, zoom: 1 }
-    );
+    if (!get().isBuilding && !skipSave && get().onFlowPage) {
+      flowsManager.autoSaveCurrentFlow(
+        newChange,
+        newEdges,
+        get().reactFlowInstance?.getViewport() ?? { x: 0, y: 0, zoom: 1 },
+      );
+    }
   },
-  setEdges: (change) => {
+  setEdges: (change, skipSave = false) => {
     let newChange = typeof change === "function" ? change(get().edges) : change;
-
     set({
       edges: newChange,
       flowState: undefined,
-      isBuilt: false,
-      sseData: {},
     });
 
     const flowsManager = useFlowsManagerStore.getState();
-
-    flowsManager.autoSaveCurrentFlow(
-      get().nodes,
-      newChange,
-      get().reactFlowInstance?.getViewport() ?? { x: 0, y: 0, zoom: 1 }
-    );
+    if (!get().isBuilding && !skipSave && get().onFlowPage) {
+      flowsManager.autoSaveCurrentFlow(
+        get().nodes,
+        newChange,
+        get().reactFlowInstance?.getViewport() ?? { x: 0, y: 0, zoom: 1 },
+      );
+    }
   },
   setNode: (id: string, change: Node | ((oldState: Node) => Node)) => {
     let newChange =
       typeof change === "function"
         ? change(get().nodes.find((node) => node.id === id)!)
         : change;
-
     get().setNodes((oldNodes) =>
       oldNodes.map((node) => {
         if (node.id === id) {
+          if ((node.data as NodeDataType).node?.frozen) {
+            (newChange.data as NodeDataType).node!.frozen = false;
+          }
           return newChange;
         }
         return node;
-      })
+      }),
     );
   },
   getNode: (id: string) => {
@@ -142,8 +217,8 @@ const useFlowStore = create<FlowStoreType>((set, get) => ({
       get().nodes.filter((node) =>
         typeof nodeId === "string"
           ? node.id !== nodeId
-          : !nodeId.includes(node.id)
-      )
+          : !nodeId.includes(node.id),
+      ),
     );
   },
   deleteEdge: (edgeId) => {
@@ -151,11 +226,29 @@ const useFlowStore = create<FlowStoreType>((set, get) => ({
       get().edges.filter((edge) =>
         typeof edgeId === "string"
           ? edge.id !== edgeId
-          : !edgeId.includes(edge.id)
-      )
+          : !edgeId.includes(edge.id),
+      ),
     );
   },
   paste: (selection, position) => {
+    if (
+      selection.nodes.some((node) => node.data.type === "ChatInput") &&
+      checkChatInput(get().nodes)
+    ) {
+      useAlertStore.getState().setErrorData({
+        title: "Error pasting components",
+        list: ["You can only have one ChatInput component in the flow"],
+      });
+      return;
+    }
+    if (selection.nodes) {
+      if (checkOldComponents({ nodes: selection.nodes ?? [] })) {
+        useAlertStore.getState().setNoticeData({
+          title:
+            "Components created before Langflow 1.0 may be unstable. Ensure components are up to date.",
+        });
+      }
+    }
     let minimumX = Infinity;
     let minimumY = Infinity;
     let idsMap = {};
@@ -195,6 +288,7 @@ const useFlowStore = create<FlowStoreType>((set, get) => ({
           id: newId,
         },
       };
+      updateGroupRecursion(newNode, selection.edges);
 
       // Add the new node to the list of nodes in state
       newNodes = newNodes
@@ -207,7 +301,7 @@ const useFlowStore = create<FlowStoreType>((set, get) => ({
       let source = idsMap[edge.source];
       let target = idsMap[edge.target];
       const sourceHandleObject: sourceHandleType = scapeJSONParse(
-        edge.sourceHandle!
+        edge.sourceHandle!,
       );
       let sourceHandle = scapedJSONStringfy({
         ...sourceHandleObject,
@@ -217,7 +311,7 @@ const useFlowStore = create<FlowStoreType>((set, get) => ({
 
       edge.data.sourceHandle = sourceHandleObject;
       const targetHandleObject: targetHandleType = scapeJSONParse(
-        edge.targetHandle!
+        edge.targetHandle!,
       );
       let targetHandle = scapedJSONStringfy({
         ...targetHandleObject,
@@ -234,15 +328,9 @@ const useFlowStore = create<FlowStoreType>((set, get) => ({
           targetHandle,
           id,
           data: cloneDeep(edge.data),
-          style: { stroke: "#555" },
-          className:
-            targetHandleObject.type === "Text"
-              ? "stroke-gray-800 "
-              : "stroke-gray-900 ",
-          animated: targetHandleObject.type === "Text",
           selected: false,
         },
-        newEdges.map((edge) => ({ ...edge, selected: false }))
+        newEdges.map((edge) => ({ ...edge, selected: false })),
       );
     });
     get().setEdges(newEdges);
@@ -261,10 +349,10 @@ const useFlowStore = create<FlowStoreType>((set, get) => ({
       });
 
       const newNodes = get().nodes.filter(
-        (node) => !nodesIdsSelected.includes(node.id)
+        (node) => !nodesIdsSelected.includes(node.id),
       );
       const newEdges = get().edges.filter(
-        (edge) => !edgesIdsSelected.includes(edge.id)
+        (edge) => !edgesIdsSelected.includes(edge.id),
       );
 
       set({ nodes: newNodes, edges: newEdges });
@@ -277,8 +365,6 @@ const useFlowStore = create<FlowStoreType>((set, get) => ({
       nodes: [],
       edges: [],
       flowState: undefined,
-      sseData: {},
-      isBuilt: false,
       getFilterEdge: [],
     });
   },
@@ -287,6 +373,31 @@ const useFlowStore = create<FlowStoreType>((set, get) => ({
   },
   getFilterEdge: [],
   onConnect: (connection) => {
+    const dark = useDarkStore.getState().dark;
+    // const commonMarkerProps = {
+    //   type: MarkerType.ArrowClosed,
+    //   width: 20,
+    //   height: 20,
+    //   color: dark ? "#555555" : "#000000",
+    // };
+
+    // const inputTypes = INPUT_TYPES;
+    // const outputTypes = OUTPUT_TYPES;
+
+    // const findNode = useFlowStore
+    //   .getState()
+    //   .nodes.find(
+    //     (node) => node.id === connection.source || node.id === connection.target
+    //   );
+
+    // const sourceType = findNode?.data?.type;
+    // let isIoIn = false;
+    // let isIoOut = false;
+    // if (sourceType) {
+    //   isIoIn = inputTypes.has(sourceType);
+    //   isIoOut = outputTypes.has(sourceType);
+    // }
+
     let newEdges: Edge[] = [];
     get().setEdges((oldEdges) => {
       newEdges = addEdge(
@@ -296,18 +407,12 @@ const useFlowStore = create<FlowStoreType>((set, get) => ({
             targetHandle: scapeJSONParse(connection.targetHandle!),
             sourceHandle: scapeJSONParse(connection.sourceHandle!),
           },
-          style: { stroke: "#555" },
-          className:
-            ((scapeJSONParse(connection.targetHandle!) as targetHandleType)
-              .type === "Text"
-              ? "stroke-foreground "
-              : "stroke-foreground ") + " stroke-connection",
-          animated:
-            (scapeJSONParse(connection.targetHandle!) as targetHandleType)
-              .type === "Text",
+          // style: { stroke: "#555" },
+          // className: "stroke-foreground stroke-connection",
         },
-        oldEdges
+        oldEdges,
       );
+
       return newEdges;
     });
     useFlowsManagerStore
@@ -315,7 +420,7 @@ const useFlowStore = create<FlowStoreType>((set, get) => ({
       .autoSaveCurrentFlow(
         get().nodes,
         newEdges,
-        get().reactFlowInstance?.getViewport() ?? { x: 0, y: 0, zoom: 1 }
+        get().reactFlowInstance?.getViewport() ?? { x: 0, y: 0, zoom: 1 },
       );
   },
   unselectAll: () => {
@@ -329,6 +434,233 @@ const useFlowStore = create<FlowStoreType>((set, get) => ({
       });
     });
   },
+  buildFlow: async ({
+    startNodeId,
+    stopNodeId,
+    input_value,
+    files,
+    silent,
+    setLockChat,
+  }: {
+    startNodeId?: string;
+    stopNodeId?: string;
+    input_value?: string;
+    files?: string[];
+    silent?: boolean;
+    setLockChat?: (lock: boolean) => void;
+  }) => {
+    get().setIsBuilding(true);
+    const currentFlow = useFlowsManagerStore.getState().currentFlow;
+    const setSuccessData = useAlertStore.getState().setSuccessData;
+    const setErrorData = useAlertStore.getState().setErrorData;
+    const setNoticeData = useAlertStore.getState().setNoticeData;
+    function validateSubgraph(nodes: string[]) {
+      const errorsObjs = validateNodes(
+        get().nodes.filter((node) => nodes.includes(node.id)),
+        get().edges,
+      );
+
+      const errors = errorsObjs.map((obj) => obj.errors).flat();
+      if (errors.length > 0) {
+        setErrorData({
+          title: MISSED_ERROR_ALERT,
+          list: errors,
+        });
+        get().setIsBuilding(false);
+        const ids = errorsObjs.map((obj) => obj.id).flat();
+
+        get().updateBuildStatus(ids, BuildStatus.ERROR);
+        throw new Error("Invalid nodes");
+      }
+    }
+    function handleBuildUpdate(
+      vertexBuildData: VertexBuildTypeAPI,
+      status: BuildStatus,
+      runId: string,
+    ) {
+      if (vertexBuildData && vertexBuildData.inactivated_vertices) {
+        get().removeFromVerticesBuild(vertexBuildData.inactivated_vertices);
+        get().updateBuildStatus(
+          vertexBuildData.inactivated_vertices,
+          BuildStatus.INACTIVE,
+        );
+      }
+
+      if (vertexBuildData.next_vertices_ids) {
+        // next_vertices_ids is a list of vertices that are going to be built next
+        // verticesLayers is a list of list of vertices ids, where each list is a layer of vertices
+        // we want to add a new layer (next_vertices_ids) to the list of layers (verticesLayers)
+        // and the values of next_vertices_ids to the list of vertices ids (verticesIds)
+
+        // const nextVertices will be the zip of vertexBuildData.next_vertices_ids and
+        // vertexBuildData.top_level_vertices
+        // the VertexLayerElementType as {id: next_vertices_id, layer: top_level_vertex}
+
+        // next_vertices_ids should be next_vertices_ids without the inactivated vertices
+        const next_vertices_ids = vertexBuildData.next_vertices_ids.filter(
+          (id) => !vertexBuildData.inactivated_vertices?.includes(id),
+        );
+        const top_level_vertices = vertexBuildData.top_level_vertices.filter(
+          (vertex) => !vertexBuildData.inactivated_vertices?.includes(vertex),
+        );
+        const nextVertices: VertexLayerElementType[] = zip(
+          next_vertices_ids,
+          top_level_vertices,
+        ).map(([id, reference]) => ({ id: id!, reference }));
+
+        const newLayers = [
+          ...get().verticesBuild!.verticesLayers,
+          nextVertices,
+        ];
+        const newIds = [
+          ...get().verticesBuild!.verticesIds,
+          ...next_vertices_ids,
+        ];
+        get().updateVerticesBuild({
+          verticesIds: newIds,
+          verticesLayers: newLayers,
+          runId: runId,
+          verticesToRun: get().verticesBuild!.verticesToRun,
+        });
+
+        get().updateBuildStatus(top_level_vertices, BuildStatus.TO_BUILD);
+      }
+
+      get().addDataToFlowPool(
+        { ...vertexBuildData, run_id: runId },
+        vertexBuildData.id,
+      );
+
+      useFlowStore.getState().updateBuildStatus([vertexBuildData.id], status);
+
+      const verticesIds = get().verticesBuild?.verticesIds;
+      const newFlowBuildStatus = { ...get().flowBuildStatus };
+      // filter out the vertices that are not status
+
+      const verticesToUpdate = verticesIds?.filter(
+        (id) => newFlowBuildStatus[id]?.status !== BuildStatus.BUILT,
+      );
+
+      if (verticesToUpdate) {
+        useFlowStore.getState().updateBuildStatus(verticesToUpdate, status);
+      }
+    }
+    await buildVertices({
+      input_value,
+      files,
+      flowId: currentFlow!.id,
+      startNodeId,
+      stopNodeId,
+      setLockChat,
+      onGetOrderSuccess: () => {
+        if (!silent) {
+          setNoticeData({ title: "Running components" });
+        }
+      },
+      onBuildComplete: (allNodesValid) => {
+        const nodeId = startNodeId || stopNodeId;
+        if (!silent) {
+          if (allNodesValid) {
+            setSuccessData({
+              title: nodeId
+                ? `${
+                    get().nodes.find((node) => node.id === nodeId)?.data.node
+                      ?.display_name
+                  } built successfully`
+                : FLOW_BUILD_SUCCESS_ALERT,
+            });
+          }
+        }
+        get().setIsBuilding(false);
+      },
+      onBuildUpdate: handleBuildUpdate,
+      onBuildError: (title: string, list: string[], elementList) => {
+        const idList = elementList
+          .map((element) => element.id)
+          .filter(Boolean) as string[];
+        useFlowStore.getState().updateBuildStatus(idList, BuildStatus.BUILT);
+        setErrorData({ list, title });
+        get().setIsBuilding(false);
+      },
+      onBuildStart: (elementList) => {
+        const idList = elementList
+          // reference is the id of the vertex or the id of the parent in a group node
+          .map((element) => element.reference)
+          .filter(Boolean) as string[];
+        useFlowStore.getState().updateBuildStatus(idList, BuildStatus.BUILDING);
+      },
+      onValidateNodes: validateSubgraph,
+      nodes: !get().onFlowPage ? get().nodes : undefined,
+      edges: !get().onFlowPage ? get().edges : undefined,
+    });
+    get().setIsBuilding(false);
+    get().revertBuiltStatusFromBuilding();
+  },
+  getFlow: () => {
+    return {
+      nodes: get().nodes,
+      edges: get().edges,
+      viewport: get().reactFlowInstance?.getViewport()!,
+    };
+  },
+  updateVerticesBuild: (
+    vertices: {
+      verticesIds: string[];
+      verticesLayers: VertexLayerElementType[][];
+      runId: string;
+      verticesToRun: string[];
+    } | null,
+  ) => {
+    set({ verticesBuild: vertices });
+  },
+  verticesBuild: null,
+  addToVerticesBuild: (vertices: string[]) => {
+    const verticesBuild = get().verticesBuild;
+    if (!verticesBuild) return;
+    set({
+      verticesBuild: {
+        ...verticesBuild,
+        verticesIds: [...verticesBuild.verticesIds, ...vertices],
+      },
+    });
+  },
+  removeFromVerticesBuild: (vertices: string[]) => {
+    const verticesBuild = get().verticesBuild;
+    if (!verticesBuild) return;
+    set({
+      verticesBuild: {
+        ...verticesBuild,
+        // remove the vertices from the list of vertices ids
+        // that are going to be built
+        verticesIds: get().verticesBuild!.verticesIds.filter(
+          // keep the vertices that are not in the list of vertices to remove
+          (vertex) => !vertices.includes(vertex),
+        ),
+      },
+    });
+  },
+  updateBuildStatus: (nodeIdList: string[], status: BuildStatus) => {
+    const newFlowBuildStatus = { ...get().flowBuildStatus };
+    nodeIdList.forEach((id) => {
+      newFlowBuildStatus[id] = {
+        status,
+      };
+      if (status == BuildStatus.BUILT) {
+        const timestamp_string = new Date(Date.now()).toLocaleString();
+        newFlowBuildStatus[id].timestamp = timestamp_string;
+      }
+    });
+    set({ flowBuildStatus: newFlowBuildStatus });
+  },
+  revertBuiltStatusFromBuilding: () => {
+    const newFlowBuildStatus = { ...get().flowBuildStatus };
+    Object.keys(newFlowBuildStatus).forEach((id) => {
+      if (newFlowBuildStatus[id].status === BuildStatus.BUILDING) {
+        newFlowBuildStatus[id].status = BuildStatus.BUILT;
+      }
+    });
+    set({ flowBuildStatus: newFlowBuildStatus });
+  },
 }));
 
 export default useFlowStore;
diff --git a/src/frontend/src/stores/flowsManagerStore.ts b/src/frontend/src/stores/flowsManagerStore.ts
index 4a64b3125a3..a804710ac00 100644
--- a/src/frontend/src/stores/flowsManagerStore.ts
+++ b/src/frontend/src/stores/flowsManagerStore.ts
@@ -1,9 +1,11 @@
-import { AxiosError } from "axios";
 import { cloneDeep } from "lodash";
+import pDebounce from "p-debounce";
 import { Edge, Node, Viewport, XYPosition } from "reactflow";
 import { create } from "zustand";
+import { SAVE_DEBOUNCE_TIME } from "../constants/constants";
 import {
   deleteFlowFromDatabase,
+  multipleDeleteFlowsComponents,
   readFlowsFromDatabase,
   saveFlowToDatabase,
   updateFlowInDatabase,
@@ -18,12 +20,14 @@ import {
   addVersionToDuplicates,
   createFlowComponent,
   createNewFlow,
+  extractFieldsFromComponenents,
   processDataFromFlow,
   processFlows,
 } from "../utils/reactflowUtils";
 import useAlertStore from "./alertStore";
 import { useDarkStore } from "./darkStore";
 import useFlowStore from "./flowStore";
+import { useFolderStore } from "./foldersStore";
 import { useTypesStore } from "./typesStore";
 
 let saveTimeoutId: NodeJS.Timeout | null = null;
@@ -37,7 +41,20 @@ const past = {};
 const future = {};
 
 const useFlowsManagerStore = create<FlowsManagerStoreType>((set, get) => ({
+  examples: [],
+  setExamples: (examples: FlowType[]) => {
+    set({ examples });
+  },
   currentFlowId: "",
+  setCurrentFlow: (flow: FlowType) => {
+    set((state) => ({
+      currentFlow: flow,
+      currentFlowId: flow.id,
+    }));
+  },
+  getFlowById: (id: string) => {
+    return get().flows.find((flow) => flow.id === id);
+  },
   setCurrentFlowId: (currentFlowId: string) => {
     set((state) => ({
       currentFlowId,
@@ -45,6 +62,10 @@ const useFlowsManagerStore = create<FlowsManagerStoreType>((set, get) => ({
     }));
   },
   flows: [],
+  allFlows: [],
+  setAllFlows: (allFlows: FlowType[]) => {
+    set({ allFlows });
+  },
   setFlows: (flows: FlowType[]) => {
     set({
       flows,
@@ -52,24 +73,42 @@ const useFlowsManagerStore = create<FlowsManagerStoreType>((set, get) => ({
     });
   },
   currentFlow: undefined,
+  saveLoading: false,
   isLoading: true,
   setIsLoading: (isLoading: boolean) => set({ isLoading }),
   refreshFlows: () => {
     return new Promise<void>((resolve, reject) => {
       set({ isLoading: true });
+
+      const starterFolderId = useFolderStore.getState().starterProjectId;
+
       readFlowsFromDatabase()
         .then((dbData) => {
           if (dbData) {
-            const { data, flows } = processFlows(dbData, false);
-            get().setFlows(flows);
+            const { data, flows } = processFlows(dbData);
+            const examples = flows.filter(
+              (flow) => flow.folder_id === starterFolderId,
+            );
+            get().setExamples(examples);
+
+            const flowsWithoutStarterFolder = flows.filter(
+              (flow) => flow.folder_id !== starterFolderId,
+            );
+
+            get().setFlows(flowsWithoutStarterFolder);
             useTypesStore.setState((state) => ({
               data: { ...state.data, ["saved_components"]: data },
+              ComponentFields: extractFieldsFromComponenents({
+                ...state.data,
+                ["saved_components"]: data,
+              }),
             }));
             set({ isLoading: false });
             resolve();
           }
         })
         .catch((e) => {
+          set({ isLoading: false });
           useAlertStore.getState().setErrorData({
             title: "Could not load flows from database",
           });
@@ -78,22 +117,19 @@ const useFlowsManagerStore = create<FlowsManagerStoreType>((set, get) => ({
     });
   },
   autoSaveCurrentFlow: (nodes: Node[], edges: Edge[], viewport: Viewport) => {
-    // Clear the previous timeout if it exists.
-    if (saveTimeoutId) {
-      clearTimeout(saveTimeoutId);
+    if (get().currentFlow) {
+      get().saveFlow(
+        { ...get().currentFlow!, data: { nodes, edges, viewport } },
+        true,
+      );
     }
-
-    // Set up a new timeout.
-    saveTimeoutId = setTimeout(() => {
-      if (get().currentFlow) {
-        get().saveFlow(
-          { ...get().currentFlow!, data: { nodes, edges, viewport } },
-          true
-        );
-      }
-    }, 300); // Delay of 300ms.
   },
   saveFlow: (flow: FlowType, silent?: boolean) => {
+    set({ saveLoading: true }); // set saveLoading true immediately
+    return get().saveFlowDebounce(flow, silent); // call the debounced function directly
+  },
+  saveFlowDebounce: pDebounce((flow: FlowType, silent?: boolean) => {
+    set({ saveLoading: true });
     return new Promise<void>((resolve, reject) => {
       updateFlowInDatabase(flow)
         .then((updatedFlow) => {
@@ -110,11 +146,12 @@ const useFlowsManagerStore = create<FlowsManagerStoreType>((set, get) => ({
                   return updatedFlow;
                 }
                 return flow;
-              })
+              }),
             );
             //update tabs state
 
             resolve();
+            set({ saveLoading: false });
           }
         })
         .catch((err) => {
@@ -125,7 +162,7 @@ const useFlowsManagerStore = create<FlowsManagerStoreType>((set, get) => ({
           reject(err);
         });
     });
-  },
+  }, SAVE_DEBOUNCE_TIME),
   uploadFlows: () => {
     return new Promise<void>((resolve) => {
       const input = document.createElement("input");
@@ -159,18 +196,24 @@ const useFlowsManagerStore = create<FlowsManagerStoreType>((set, get) => ({
     newProject: Boolean,
     flow?: FlowType,
     override?: boolean,
-    position?: XYPosition
+    position?: XYPosition,
+    fromDragAndDrop?: boolean,
   ): Promise<string | undefined> => {
+    let flowData = flow
+      ? processDataFromFlow(flow)
+      : { nodes: [], edges: [], viewport: { zoom: 1, x: 0, y: 0 } };
     if (newProject) {
-      let flowData = flow
-        ? processDataFromFlow(flow)
-        : { nodes: [], edges: [], viewport: { zoom: 1, x: 0, y: 0 } };
-
       // Create a new flow with a default name if no flow is provided.
+      const folder_id = useFolderStore.getState().folderUrl;
+      const my_collection_id = useFolderStore.getState().myCollectionId;
 
       if (override) {
         get().deleteComponent(flow!.name);
-        const newFlow = createNewFlow(flowData!, flow!);
+        const newFlow = createNewFlow(
+          flowData!,
+          flow!,
+          folder_id || my_collection_id!,
+        );
         const { id } = await saveFlowToDatabase(newFlow);
         newFlow.id = id;
         //setTimeout  to prevent update state with wrong state
@@ -180,17 +223,26 @@ const useFlowsManagerStore = create<FlowsManagerStoreType>((set, get) => ({
           set({ isLoading: false });
           useTypesStore.setState((state) => ({
             data: { ...state.data, ["saved_components"]: data },
+            ComponentFields: extractFieldsFromComponenents({
+              ...state.data,
+              ["saved_components"]: data,
+            }),
           }));
         }, 200);
         // addFlowToLocalState(newFlow);
         return;
       }
-
-      const newFlow = createNewFlow(flowData!, flow!);
+      const newFlow = createNewFlow(
+        flowData!,
+        flow!,
+        folder_id || my_collection_id!,
+      );
 
       const newName = addVersionToDuplicates(newFlow, get().flows);
 
       newFlow.name = newName;
+      newFlow.folder_id = useFolderStore.getState().folderUrl;
+
       try {
         const { id } = await saveFlowToDatabase(newFlow);
         // Change the id to the new id.
@@ -202,12 +254,28 @@ const useFlowsManagerStore = create<FlowsManagerStoreType>((set, get) => ({
         set({ isLoading: false });
         useTypesStore.setState((state) => ({
           data: { ...state.data, ["saved_components"]: data },
+          ComponentFields: extractFieldsFromComponenents({
+            ...state.data,
+            ["saved_components"]: data,
+          }),
         }));
 
         // Return the id
         return id;
-      } catch (error) {
-        // Handle the error if needed
+      } catch (error: any) {
+        if (error.response?.data?.detail) {
+          useAlertStore.getState().setErrorData({
+            title: "Could not load flows from database",
+            list: [error.response?.data?.detail],
+          });
+        } else {
+          useAlertStore.getState().setErrorData({
+            title: "Could not load flows from database",
+            list: [
+              error.message ?? "An unexpected error occurred, please try again",
+            ],
+          });
+        }
         throw error; // Re-throw the error so the caller can handle it if needed
       }
     } else {
@@ -215,25 +283,51 @@ const useFlowsManagerStore = create<FlowsManagerStoreType>((set, get) => ({
         .getState()
         .paste(
           { nodes: flow!.data!.nodes, edges: flow!.data!.edges },
-          position ?? { x: 10, y: 10 }
+          position ?? { x: 10, y: 10 },
         );
     }
   },
-  removeFlow: async (id: string) => {
-    return new Promise<void>((resolve) => {
-      const index = get().flows.findIndex((flow) => flow.id === id);
-      if (index >= 0) {
-        deleteFlowFromDatabase(id).then(() => {
-          const { data, flows } = processFlows(
-            get().flows.filter((flow) => flow.id !== id)
-          );
-          get().setFlows(flows);
-          set({ isLoading: false });
-          useTypesStore.setState((state) => ({
-            data: { ...state.data, ["saved_components"]: data },
-          }));
-          resolve();
-        });
+  removeFlow: async (id: string | string[]) => {
+    return new Promise<void>((resolve, reject) => {
+      if (Array.isArray(id)) {
+        multipleDeleteFlowsComponents(id)
+          .then(() => {
+            const { data, flows } = processFlows(
+              get().flows.filter((flow) => !id.includes(flow.id)),
+            );
+            get().setFlows(flows);
+            set({ isLoading: false });
+            useTypesStore.setState((state) => ({
+              data: { ...state.data, ["saved_components"]: data },
+              ComponentFields: extractFieldsFromComponenents({
+                ...state.data,
+                ["saved_components"]: data,
+              }),
+            }));
+            resolve();
+          })
+          .catch((e) => reject(e));
+      } else {
+        const index = get().flows.findIndex((flow) => flow.id === id);
+        if (index >= 0) {
+          deleteFlowFromDatabase(id)
+            .then(() => {
+              const { data, flows } = processFlows(
+                get().flows.filter((flow) => flow.id !== id),
+              );
+              get().setFlows(flows);
+              set({ isLoading: false });
+              useTypesStore.setState((state) => ({
+                data: { ...state.data, ["saved_components"]: data },
+                ComponentFields: extractFieldsFromComponenents({
+                  ...state.data,
+                  ["saved_components"]: data,
+                }),
+              }));
+              resolve();
+            })
+            .catch((e) => reject(e));
+        }
       }
     });
   },
@@ -241,7 +335,7 @@ const useFlowsManagerStore = create<FlowsManagerStoreType>((set, get) => ({
     return new Promise<void>((resolve) => {
       let componentFlow = get().flows.find(
         (componentFlow) =>
-          componentFlow.is_component && componentFlow.name === key
+          componentFlow.is_component && componentFlow.name === key,
       );
 
       if (componentFlow) {
@@ -256,12 +350,12 @@ const useFlowsManagerStore = create<FlowsManagerStoreType>((set, get) => ({
   uploadFlow: async ({
     newProject,
     file,
-    isComponent = false,
+    isComponent,
     position = { x: 10, y: 10 },
   }: {
     newProject: boolean;
     file?: File;
-    isComponent?: boolean;
+    isComponent: boolean | null;
     position?: XYPosition;
   }): Promise<string | never> => {
     return new Promise(async (resolve, reject) => {
@@ -271,6 +365,7 @@ const useFlowsManagerStore = create<FlowsManagerStoreType>((set, get) => ({
         let fileData = JSON.parse(text);
         if (
           newProject &&
+          isComponent !== null &&
           ((!fileData.is_component && isComponent === true) ||
             (fileData.is_component !== undefined &&
               fileData.is_component !== isComponent))
@@ -283,7 +378,13 @@ const useFlowsManagerStore = create<FlowsManagerStoreType>((set, get) => ({
             });
             resolve("");
           } else {
-            id = await get().addFlow(newProject, fileData, undefined, position);
+            id = await get().addFlow(
+              newProject,
+              fileData,
+              undefined,
+              position,
+              true,
+            );
             resolve(id);
           }
         }
@@ -323,7 +424,7 @@ const useFlowsManagerStore = create<FlowsManagerStoreType>((set, get) => ({
     return get().addFlow(
       true,
       createFlowComponent(component, useDarkStore.getState().version),
-      override
+      override,
     );
   },
   takeSnapshot: () => {
@@ -344,7 +445,7 @@ const useFlowsManagerStore = create<FlowsManagerStoreType>((set, get) => ({
     if (pastLength > 0) {
       past[currentFlowId] = past[currentFlowId].slice(
         pastLength - defaultOptions.maxHistorySize + 1,
-        pastLength
+        pastLength,
       );
 
       past[currentFlowId].push(newState);
@@ -392,6 +493,14 @@ const useFlowsManagerStore = create<FlowsManagerStoreType>((set, get) => ({
       newState.setEdges(futureState.edges);
     }
   },
+  searchFlowsComponents: "",
+  setSearchFlowsComponents: (searchFlowsComponents: string) => {
+    set({ searchFlowsComponents });
+  },
+  selectedFlowsComponentsCards: [],
+  setSelectedFlowsComponentsCards: (selectedFlowsComponentsCards: string[]) => {
+    set({ selectedFlowsComponentsCards });
+  },
 }));
 
 export default useFlowsManagerStore;
diff --git a/src/frontend/src/stores/foldersStore.tsx b/src/frontend/src/stores/foldersStore.tsx
new file mode 100644
index 00000000000..f601ccef215
--- /dev/null
+++ b/src/frontend/src/stores/foldersStore.tsx
@@ -0,0 +1,181 @@
+import { create } from "zustand";
+import { DEFAULT_FOLDER, STARTER_FOLDER_NAME } from "../constants/constants";
+import {
+  getFolderById,
+  getFolders,
+  uploadFlowsFromFolders,
+} from "../pages/MainPage/services";
+import { FoldersStoreType } from "../types/zustand/folders";
+import useFlowsManagerStore from "./flowsManagerStore";
+import { useTypesStore } from "./typesStore";
+
+export const useFolderStore = create<FoldersStoreType>((set, get) => ({
+  folders: [],
+  getFoldersApi: (refetch = false, startupApplication: boolean = false) => {
+    return new Promise<void>((resolve, reject) => {
+      if (get()?.folders.length === 0 || refetch === true) {
+        get().setIsLoadingFolders(true);
+        getFolders().then(
+          async (res) => {
+            const foldersWithoutStarterProjects = res?.filter(
+              (folder) => folder.name !== STARTER_FOLDER_NAME,
+            );
+
+            const starterProjects = res?.find(
+              (folder) => folder.name === STARTER_FOLDER_NAME,
+            );
+
+            set({ starterProjectId: starterProjects!.id ?? "" });
+            set({ folders: foldersWithoutStarterProjects });
+
+            const myCollectionId = res?.find(
+              (f) => f.name === DEFAULT_FOLDER,
+            )?.id;
+
+            set({ myCollectionId });
+
+            const { refreshFlows } = useFlowsManagerStore.getState();
+            const { getTypes } = useTypesStore.getState();
+            const { setIsLoadingFolders } = get();
+
+            if (refetch) {
+              if (startupApplication) {
+                await refreshFlows();
+                await getTypes();
+              } else {
+                refreshFlows();
+                getTypes();
+              }
+            }
+            setIsLoadingFolders(false);
+
+            resolve();
+          },
+          (error) => {
+            set({ folders: [] });
+            get().setIsLoadingFolders(false);
+            reject(error);
+          },
+        );
+      }
+    });
+  },
+  refreshFolders: () => {
+    return new Promise<void>((resolve, reject) => {
+      getFolders().then(
+        async (res) => {
+          const foldersWithoutStarterProjects = res?.filter(
+            (folder) => folder.name !== STARTER_FOLDER_NAME,
+          );
+
+          const starterProjects = res?.find(
+            (folder) => folder.name === STARTER_FOLDER_NAME,
+          );
+
+          set({ starterProjectId: starterProjects!.id ?? "" });
+          set({ folders: foldersWithoutStarterProjects });
+
+          const myCollectionId = res?.find(
+            (f) => f.name === DEFAULT_FOLDER,
+          )?.id;
+
+          set({ myCollectionId });
+
+          resolve();
+        },
+        (error) => {
+          set({ folders: [] });
+          get().setIsLoadingFolders(false);
+          reject(error);
+        },
+      );
+    });
+  },
+  setFolders: (folders) => set(() => ({ folders: folders })),
+  isLoadingFolders: false,
+  setIsLoadingFolders: (isLoadingFolders) => set(() => ({ isLoadingFolders })),
+  getFolderById: (id) => {
+    if (id) {
+      getFolderById(id).then((res) => {
+        const setAllFlows = useFlowsManagerStore.getState().setAllFlows;
+        setAllFlows(res.flows);
+        set({ selectedFolder: res });
+      });
+    }
+  },
+  selectedFolder: null,
+  loadingById: false,
+  getMyCollectionFolder: () => {
+    const folders = get().folders;
+    const myCollectionId = folders?.find((f) => f.name === DEFAULT_FOLDER)?.id;
+    if (myCollectionId) {
+      getFolderById(myCollectionId).then((res) => {
+        set({ myCollectionFlows: res });
+      });
+    }
+  },
+  setMyCollectionFlow: (folder) => set(() => ({ myCollectionFlows: folder })),
+  myCollectionFlows: null,
+  setMyCollectionId: () => {
+    const folders = get().folders;
+    const myCollectionId = folders?.find((f) => f.name === DEFAULT_FOLDER)?.id;
+    if (myCollectionId) {
+      set({ myCollectionId });
+    }
+  },
+  myCollectionId: "",
+  folderToEdit: null,
+  setFolderToEdit: (folder) => set(() => ({ folderToEdit: folder })),
+  folderUrl: "",
+  setFolderUrl: (url) => set(() => ({ folderUrl: url })),
+  folderDragging: false,
+  setFolderDragging: (folder) => set(() => ({ folderDragging: folder })),
+  folderIdDragging: "",
+  setFolderIdDragging: (id) => set(() => ({ folderIdDragging: id })),
+  uploadFolder: () => {
+    return new Promise<void>((resolve, reject) => {
+      const input = document.createElement("input");
+      input.type = "file";
+      input.accept = ".json";
+      input.onchange = (event: Event) => {
+        if (
+          (event.target as HTMLInputElement).files![0].type ===
+          "application/json"
+        ) {
+          const file = (event.target as HTMLInputElement).files![0];
+          const formData = new FormData();
+          formData.append("file", file);
+          file.text().then((text) => {
+            const data = JSON.parse(text);
+            if (data.data?.nodes) {
+              useFlowsManagerStore
+                .getState()
+                .addFlow(true, data)
+                .then(() => {
+                  resolve();
+                })
+                .catch((error) => {
+                  reject(error);
+                });
+            } else {
+              uploadFlowsFromFolders(formData)
+                .then(() => {
+                  get()
+                    .getFoldersApi(true)
+                    .then(() => {
+                      resolve();
+                    });
+                })
+                .catch((error) => {
+                  reject(error);
+                });
+            }
+          });
+        }
+      };
+      input.click();
+    });
+  },
+  starterProjectId: "",
+  setStarterProjectId: (id) => set(() => ({ starterProjectId: id })),
+}));
diff --git a/src/frontend/src/stores/globalVariablesStore/globalVariables.ts b/src/frontend/src/stores/globalVariablesStore/globalVariables.ts
new file mode 100644
index 00000000000..708f7ec09fa
--- /dev/null
+++ b/src/frontend/src/stores/globalVariablesStore/globalVariables.ts
@@ -0,0 +1,49 @@
+import { create } from "zustand";
+import { GlobalVariablesStore } from "../../types/zustand/globalVariables";
+import getUnavailableFields from "./utils/get-unavailable-fields";
+
+export const useGlobalVariablesStore = create<GlobalVariablesStore>(
+  (set, get) => ({
+    unavaliableFields: {},
+    setUnavaliableFields: (fields) => {
+      set({ unavaliableFields: fields });
+    },
+    removeUnavaliableField: (field) => {
+      const newFields = get().unavaliableFields;
+      delete newFields[field];
+      set({ unavaliableFields: newFields });
+    },
+    globalVariablesEntries: undefined,
+    globalVariables: {},
+    setGlobalVariables: (variables) => {
+      set({
+        globalVariables: variables,
+        globalVariablesEntries: Object.keys(variables),
+        unavaliableFields: getUnavailableFields(variables),
+      });
+    },
+    addGlobalVariable: (name, id, type, default_fields) => {
+      const data = { id, type, default_fields };
+      const newVariables = { ...get().globalVariables, [name]: data };
+      set({
+        globalVariables: newVariables,
+        globalVariablesEntries: Object.keys(newVariables),
+        unavaliableFields: getUnavailableFields(newVariables),
+      });
+    },
+    removeGlobalVariable: async (name) => {
+      const id = get().globalVariables[name]?.id;
+      if (id === undefined) return;
+      const newVariables = { ...get().globalVariables };
+      delete newVariables[name];
+      set({
+        globalVariables: newVariables,
+        globalVariablesEntries: Object.keys(newVariables),
+        unavaliableFields: getUnavailableFields(newVariables),
+      });
+    },
+    getVariableId: (name) => {
+      return get().globalVariables[name]?.id;
+    },
+  }),
+);
diff --git a/src/frontend/src/stores/globalVariablesStore/utils/get-unavailable-fields.tsx b/src/frontend/src/stores/globalVariablesStore/utils/get-unavailable-fields.tsx
new file mode 100644
index 00000000000..63da1dbe22d
--- /dev/null
+++ b/src/frontend/src/stores/globalVariablesStore/utils/get-unavailable-fields.tsx
@@ -0,0 +1,13 @@
+export default function getUnavailableFields(variables: {
+  [key: string]: { default_fields?: string[] };
+}): { [name: string]: string } {
+  const unVariables: { [name: string]: string } = {};
+  Object.keys(variables).forEach((key) => {
+    if (variables[key].default_fields) {
+      variables[key].default_fields!.forEach((field) => {
+        unVariables[field] = key;
+      });
+    }
+  });
+  return unVariables;
+}
diff --git a/src/frontend/src/stores/locationStore.ts b/src/frontend/src/stores/locationStore.ts
new file mode 100644
index 00000000000..a57390343c0
--- /dev/null
+++ b/src/frontend/src/stores/locationStore.ts
@@ -0,0 +1,21 @@
+import { create } from "zustand";
+import { LocationStoreType } from "../types/zustand/location";
+
+export const useLocationStore = create<LocationStoreType>((set, get) => ({
+  routeHistory: [],
+  setRouteHistory: (location) => {
+    let routeHistoryArray = get().routeHistory;
+    routeHistoryArray.push(location);
+
+    if (routeHistoryArray?.length > 100) {
+      routeHistoryArray.shift();
+      set({
+        routeHistory: routeHistoryArray,
+      });
+    }
+
+    set({
+      routeHistory: routeHistoryArray,
+    });
+  },
+}));
diff --git a/src/frontend/src/stores/messagesStore.ts b/src/frontend/src/stores/messagesStore.ts
new file mode 100644
index 00000000000..349a1c44787
--- /dev/null
+++ b/src/frontend/src/stores/messagesStore.ts
@@ -0,0 +1,55 @@
+import { create } from "zustand";
+import { MessagesStoreType } from "../types/zustand/messages";
+
+export const useMessagesStore = create<MessagesStoreType>((set, get) => ({
+  deleteSession: (id) => {
+    set((state) => {
+      const updatedMessages = state.messages.filter(
+        (msg) => msg.session_id !== id,
+      );
+      return { messages: updatedMessages };
+    });
+  },
+  columns: [],
+  setColumns: (columns) => {
+    set(() => ({ columns: columns }));
+  },
+  messages: [],
+  setMessages: (messages) => {
+    set(() => ({ messages: messages }));
+  },
+  addMessage: (message) => {
+    set(() => ({ messages: [...get().messages, message] }));
+  },
+  removeMessage: (message) => {
+    set(() => ({
+      messages: get().messages.filter((msg) => msg.id !== message.id),
+    }));
+  },
+  updateMessage: (message) => {
+    set(() => ({
+      messages: get().messages.map((msg) =>
+        msg.index === message.index ? message : msg,
+      ),
+    }));
+  },
+  clearMessages: () => {
+    set(() => ({ messages: [] }));
+  },
+  removeMessages: (ids) => {
+    return new Promise((resolve, reject) => {
+      try {
+        set((state) => {
+          const updatedMessages = state.messages.filter(
+            (msg) => !ids.includes(msg.index),
+          );
+          get().setMessages(updatedMessages);
+          resolve(updatedMessages);
+          return { messages: updatedMessages };
+        });
+      } catch (error) {
+        reject(error);
+      }
+    });
+  },
+}));
diff --git a/src/frontend/src/stores/shortcuts.ts b/src/frontend/src/stores/shortcuts.ts
new file mode 100644
index 00000000000..4925ef3c2ab
--- /dev/null
+++ b/src/frontend/src/stores/shortcuts.ts
@@ -0,0 +1,52 @@
+import { create } from "zustand";
+import { defaultShortcuts } from "../constants/constants";
+import { shortcutsStoreType } from "../types/store";
+
+export const useShortcutsStore = create<shortcutsStoreType>((set, get) => ({
+  shortcuts: defaultShortcuts,
+  setShortcuts: (newShortcuts) => {
+    set({ shortcuts: newShortcuts });
+  },
+  output: "o",
+  play: "p",
+  flow: "mod+b",
+  undo: "mod+z",
+  redo: "mod+y",
+  open: "mod+k",
+  advanced: "mod+shift+a",
+  minimize: "mod+shift+q",
+  code: "space",
+  copy: "mod+c",
+  duplicate: "mod+d",
+  component: "mod+shift+s",
+  docs: "mod+shift+d",
+  save: "mod+s",
+  delete: "backspace",
+  group: "mod+g",
+  cut: "mod+x",
+  paste: "mod+v",
+  api: "r",
+  update: "mod+u",
+  download: "mod+j",
+  freeze: "mod+f",
+  updateUniqueShortcut: (name, combination) => {
+    set({
+      [name]: combination,
+    });
+  },
+  getShortcutsFromStorage: () => {
+    if (localStorage.getItem("langflow-shortcuts")) {
+      const savedShortcuts = localStorage.getItem("langflow-shortcuts");
+      const savedArr = JSON.parse(savedShortcuts!);
+      savedArr.forEach(({ name, shortcut }) => {
+        let shortcutName = name.split(" ")[0].toLowerCase();
+        set({
+          [shortcutName]: shortcut,
+        });
+      });
+      get().setShortcuts(JSON.parse(savedShortcuts!));
+    }
+  },
+}));
+
+useShortcutsStore.getState().getShortcutsFromStorage();
diff --git a/src/frontend/src/stores/storeStore.tsx b/src/frontend/src/stores/storeStore.ts
similarity index 100%
rename from src/frontend/src/stores/storeStore.tsx
rename to src/frontend/src/stores/storeStore.ts
diff --git a/src/frontend/src/stores/tweaksStore.ts b/src/frontend/src/stores/tweaksStore.ts
new file mode 100644
index 00000000000..cbf035b6fda
--- /dev/null
+++ b/src/frontend/src/stores/tweaksStore.ts
@@ -0,0 +1,9 @@
+import { create } from "zustand";
+import { TweaksStoreType } from "../types/zustand/tweaks";
+
+export const useTweaksStore = create<TweaksStoreType>((set, get) => ({
+  tweak: [],
+  setTweak: (tweak) => set({ tweak }),
+  tweaksList: [],
+  setTweaksList: (tweaksList) => set({ tweaksList }),
+}));
diff --git a/src/frontend/src/stores/typesStore.ts b/src/frontend/src/stores/typesStore.ts
index 557a3a30d6c..cc73b15d614 100644
--- a/src/frontend/src/stores/typesStore.ts
+++ b/src/frontend/src/stores/typesStore.ts
@@ -2,37 +2,49 @@ import { create } from "zustand";
 import { getAll } from "../controllers/API";
 import { APIDataType } from "../types/api";
 import { TypesStoreType } from "../types/zustand/types";
-import { templatesGenerator, typesGenerator } from "../utils/reactflowUtils";
+import {
+  extractFieldsFromComponenents,
+  templatesGenerator,
+  typesGenerator,
+} from "../utils/reactflowUtils";
 import useAlertStore from "./alertStore";
 import useFlowsManagerStore from "./flowsManagerStore";
 
 export const useTypesStore = create<TypesStoreType>((set, get) => ({
+  ComponentFields: new Set(),
+  setComponentFields: (fields) => {
+    set({ ComponentFields: fields });
+  },
+  addComponentField: (field) => {
+    set({ ComponentFields: get().ComponentFields.add(field) });
+  },
   types: {},
   templates: {},
   data: {},
-  getTypes: () => {
+  getTypes: (force_refresh: boolean = false) => {
     return new Promise<void>(async (resolve, reject) => {
       const setLoading = useFlowsManagerStore.getState().setIsLoading;
       setLoading(true);
-      getAll()
+      getAll(force_refresh)
         .then((response) => {
           const data = response?.data;
           useAlertStore.setState({ loading: false });
           set((old) => ({
             types: typesGenerator(data),
             data: { ...old.data, ...data },
+            ComponentFields: extractFieldsFromComponenents({
+              ...old.data,
+              ...data,
+            }),
             templates: templatesGenerator(data),
           }));
           setLoading(false);
           resolve();
         })
         .catch((error) => {
-          useAlertStore.getState().setErrorData({
-            title: "An error has occurred while fetching types.",
-            list: ["Please refresh the page."],
-          });
           console.error("An error has occurred while fetching types.");
           console.log(error);
+          setLoading(false);
           reject();
         });
     });
@@ -46,5 +58,6 @@ export const useTypesStore = create<TypesStoreType>((set, get) => ({
   setData: (change: APIDataType | ((old: APIDataType) => APIDataType)) => {
     let newChange = typeof change === "function" ? change(get().data) : change;
     set({ data: newChange });
+    get().setComponentFields(extractFieldsFromComponenents(newChange));
   },
 }));
diff --git a/src/frontend/src/stores/utilityStore.ts b/src/frontend/src/stores/utilityStore.ts
new file mode 100644
index 00000000000..24889bc045b
--- /dev/null
+++ b/src/frontend/src/stores/utilityStore.ts
@@ -0,0 +1,14 @@
+import { create } from "zustand";
+
+export const useUtilityStore = create<any>((set, get) => ({
+  selectedItems: [],
+  setSelectedItems: (itemId) => {
+    if (get().selectedItems.includes(itemId)) {
+      set({
+        selectedItems: get().selectedItems.filter((item) => item !== itemId),
+      });
+    } else {
+      set({ selectedItems: get().selectedItems.concat(itemId) });
+    }
+  },
+}));
diff --git a/src/frontend/src/style/ag-theme-shadcn.css b/src/frontend/src/style/ag-theme-shadcn.css
new file mode 100644
index 00000000000..1b1bd96a805
--- /dev/null
+++ b/src/frontend/src/style/ag-theme-shadcn.css
@@ -0,0 +1,80 @@
+/* set the background color of many elements across the grid */
+.ag-theme-shadcn {
+  --ag-foreground-color: hsl(var(--foreground));
+  --ag-background-color: hsl(var(--background));
+  --ag-secondary-foreground-color: hsl(var(--secondary-foreground));
+  --ag-data-color: hsl(var(--foreground));
+  --ag-header-foreground-color: hsl(var(--muted-foreground));
+  --ag-header-background-color: hsl(var(--background));
+  --ag-tooltip-background-color: hsl(var(--muted));
+  --ag-disabled-foreground-color: hsl(var(--muted-foreground));
+  --ag-border-color: hsl(var(--border));
+  --ag-selected-row-background-color: hsl(var(--accent));
+  --ag-menu-background-color: hsl(var(--accent));
+  --ag-panel-background-color: hsl(var(--accent));
+  --ag-row-hover-color: hsl(var(--accent));
+  --ag-header-height: 2.5rem;
+}
+
+.ag-theme-shadcn .ag-paging-panel {
+  height: 3rem;
+}
+
+.ag-row .ag-cell {
+  align-content: center !important;
+}
+
+.ag-cell {
+  line-height: 1.25rem;
+  padding-top: 0.675rem;
+  padding-bottom: 0.675rem;
+}
+
+.ag-cell-wrapper > *:not(.ag-cell-value):not(.ag-group-value) {
+  align-items: self-start;
+  position: relative;
+  top: 2px;
+}
+
+.ag-cell-wrapper > *:not(.ag-cell-value):not(.ag-group-value) {
+  height: 0px;
+}
+
+.ag-cell-wrapper {
+  align-items: normal !important;
+}
+
+.ag-body-horizontal-scroll-viewport,
+.ag-body-vertical-scroll-viewport {
+  cursor: auto;
+}
+
+.ag-body-horizontal-scroll-viewport::-webkit-scrollbar,
+.ag-body-vertical-scroll-viewport::-webkit-scrollbar {
+  width: 8px;
+  height: 8px;
+}
+
+.ag-body-horizontal-scroll-viewport::-webkit-scrollbar-track,
+.ag-body-vertical-scroll-viewport::-webkit-scrollbar-track {
+  background-color: hsl(var(--muted));
+}
+
+.ag-body-horizontal-scroll-viewport::-webkit-scrollbar-thumb,
+.ag-body-vertical-scroll-viewport::-webkit-scrollbar-thumb {
+  background-color: hsl(var(--border));
+  border-radius: 999px;
+}
+
+.ag-body-horizontal-scroll-viewport::-webkit-scrollbar-thumb:hover,
+.ag-body-vertical-scroll-viewport::-webkit-scrollbar-thumb:hover {
+  background-color: hsl(var(--ring));
+}
+
+.ag-paging-page-size {
+  display: none;
+}
+
+.ag-row {
+  cursor: pointer;
+}
diff --git a/src/frontend/src/style/applies.css b/src/frontend/src/style/applies.css
index e2bcdb7d9e2..23ebfe52b87 100644
--- a/src/frontend/src/style/applies.css
+++ b/src/frontend/src/style/applies.css
@@ -9,7 +9,9 @@
 
   body {
     @apply bg-background text-foreground;
-    font-feature-settings: "rlig" 1, "calt" 1;
+    font-feature-settings:
+      "rlig" 1,
+      "calt" 1;
   }
 }
 
@@ -69,7 +71,7 @@
     @apply flex h-full w-[14.5rem] flex-col overflow-hidden border-r scrollbar-hide;
   }
   .side-bar-search-div-placement {
-    @apply relative mx-auto mb-2 mt-2 flex items-center;
+    @apply relative mx-auto flex items-center py-3;
   }
   .side-bar-components-icon {
     @apply h-6 w-4 text-ring;
@@ -113,8 +115,62 @@
   .button-disable {
     @apply pointer-events-none;
   }
+  /* Frozen state border */
+  .border-ring-frozen {
+    position: relative;
+    @apply rounded-md  border shadow-frozen-ring;
+  }
+  .border-ring-frozen::before {
+    content: "";
+    position: absolute;
+    top: -2px; /* Adjust based on desired border width */
+    bottom: -2px;
+    left: -2px;
+    right: -2px;
+    /* use the frozen-blue color from tailwind */
+    border-radius: inherit;
+    pointer-events: none;
+    @apply border-2 border-frozen-blue;
+  }
+  .border-frozen {
+    @apply border shadow-frozen-ring;
+  }
+  .frosted {
+    @apply rounded-md bg-frozen-blue backdrop-blur-xs;
+  }
+  .frozen {
+    position: relative;
+    overflow: hidden;
+  }
+  .frozen::before,
+  .frozen::after {
+    content: "";
+    position: absolute;
+    top: -10px;
+    bottom: -10px;
+    left: -10px;
+    right: -10px;
+    background: rgba(
+      255,
+      255,
+      255,
+      0.5
+    ); /* Reduced opacity for better readability */
+    border-radius: 10px;
+    pointer-events: none;
+  }
+  .frozen::before {
+    filter: blur(5px); /* Less blur for better readability */
+  }
+  .frozen::after {
+    filter: blur(10px); /* Less blur for better readability */
+    opacity: 0.2; /* Reduced opacity */
+  }
   .extra-side-bar-buttons {
-    @apply relative inline-flex w-full items-center justify-center rounded-md bg-background px-2 py-2 text-foreground shadow-sm ring-1 ring-inset ring-input transition-all duration-500 ease-in-out;
+    @apply relative inline-flex w-full items-center justify-center rounded-md bg-background px-2 py-2 text-foreground transition-all duration-500 ease-in-out;
+  }
+  .header-menubar-item {
+    @apply relative flex cursor-default cursor-pointer select-none items-center rounded-sm px-2 py-1.5 text-sm outline-none transition-colors hover:bg-accent hover:text-accent-foreground data-[disabled]:pointer-events-none data-[disabled]:opacity-50;
   }
   .extra-side-bar-buttons:hover {
     @apply hover:bg-muted;
@@ -140,7 +196,7 @@
 
   /* The same as primary-input but no-truncate */
   .textarea-primary {
-    @apply form-input block w-full rounded-md border-border bg-background px-3 text-left shadow-sm placeholder:text-muted-foreground focus:border-ring focus:placeholder-transparent focus:ring-ring disabled:cursor-not-allowed disabled:opacity-50 sm:text-sm;
+    @apply form-input block w-full rounded-md border-border bg-muted px-3 text-left shadow-sm placeholder:text-muted-foreground focus:border-ring focus:placeholder-transparent focus:ring-ring disabled:cursor-not-allowed disabled:opacity-50 sm:text-sm;
   }
 
   .input-edit-node {
@@ -175,14 +231,24 @@
     @apply fixed bottom-4 right-4;
   }
   .message-button-icon {
-    @apply fill-chat-trigger stroke-chat-trigger stroke-1;
+    @apply fill-medium-indigo stroke-medium-indigo stroke-1;
   }
   .disabled-message-button-icon {
     @apply fill-chat-trigger-disabled stroke-chat-trigger-disabled stroke-1;
   }
+  .parent-disclosure-arrangement {
+    @apply flex w-full select-none items-center justify-between bg-background px-3 py-1;
+  }
   .components-disclosure-arrangement {
     @apply -mt-px flex w-full select-none items-center justify-between border-y border-y-input bg-muted px-3 py-2;
   }
+  .components-disclosure-arrangement-child {
+    /* different color than the non child */
+    @apply -mt-px flex w-full select-none items-center justify-between border-y border-y-input bg-muted px-3 py-2;
+  }
+  .parent-disclosure-title {
+    @apply p-2 px-2 text-sm font-medium;
+  }
   .components-disclosure-title {
     @apply flex items-center text-sm text-primary;
   }
@@ -192,11 +258,11 @@
   .flow-page-positioning {
     @apply h-full w-full overflow-hidden;
   }
-  .logspace-page-icon {
+  .langflow-page-icon {
     @apply absolute bottom-2 left-7 flex h-6 cursor-pointer flex-col items-center justify-start overflow-hidden rounded-lg bg-foreground px-2 text-center font-sans text-xs tracking-wide text-secondary transition-all duration-500 ease-in-out;
   }
 
-  .logspace-page-icon:hover {
+  .langflow-page-icon:hover {
     @apply hover:h-12;
   }
 
@@ -225,7 +291,7 @@
   }
 
   .main-page-nav-button {
-    @apply mr-2 w-4;
+    @apply w-4;
   }
 
   .main-page-description-text {
@@ -264,45 +330,65 @@
     @apply grid w-full gap-4 p-4 md:grid-cols-2 lg:grid-cols-4;
   }
   .generic-node-div {
-    @apply relative flex flex-col justify-center bg-background;
+    @apply relative flex flex-col justify-center bg-background transition-all;
   }
   .generic-node-div-title {
-    @apply flex w-full items-center gap-8  border-b bg-muted p-4;
+    @apply flex w-full items-center gap-2 border-b bg-muted p-5;
   }
   .generic-node-title-arrangement {
     @apply flex-max-width items-center truncate;
   }
   .generic-node-icon {
-    @apply h-10 w-10 rounded p-1;
+    @apply h-8 w-8 rounded;
   }
   .generic-node-tooltip-div {
-    @apply ml-2 truncate;
+    @apply ml-2 max-w-[220px] truncate;
   }
   .generic-node-validation-div {
     @apply max-h-96 overflow-auto;
   }
 
   .generic-node-status-position {
-    @apply relative top-[3px] h-5 w-5;
+    @apply h-5 w-5;
   }
 
   .generic-node-status-animation {
     @apply hidden h-4 w-4 animate-spin rounded-full bg-ring opacity-0;
   }
   .generic-node-status {
-    @apply h-4 w-4 rounded-full opacity-100;
+    @apply animate-wiggle opacity-100;
   }
   .green-status {
-    @apply generic-node-status bg-status-green;
+    @apply generic-node-status text-status-green;
   }
+  .gray-status {
+    @apply generic-node-status text-status-gray;
+  }
+
   .red-status {
-    @apply generic-node-status bg-status-red;
+    @apply generic-node-status text-status-red;
   }
   .yellow-status {
-    @apply generic-node-status bg-status-yellow;
+    @apply generic-node-status text-status-yellow;
+  }
+  .inactive-status {
+    /* what colour for inactive status?
+    muted-foreground is too strong, maybe use a lighter shade of it?
+
+     */
+    @apply border-none ring grayscale;
+  }
+  .built-invalid-status {
+    @apply border-none ring ring-[#FF9090];
+  }
+  .built-invalid-status-dark {
+    @apply border-none ring ring-[#751C1C];
+  }
+  .building-status {
+    @apply border-none ring;
   }
   .status-build-animation {
-    @apply hidden h-4 w-4 animate-spin rounded-full bg-ring opacity-0;
+    @apply opacity-0;
   }
   .status-div {
     @apply absolute w-4 duration-200 ease-in-out;
@@ -325,7 +411,7 @@
   }
 
   .error-build-message {
-    @apply mt-6 w-96 cursor-pointer rounded-md bg-error-background p-4 shadow-xl;
+    @apply mt-6 w-96 rounded-md bg-error-background p-4 shadow-xl;
   }
   .error-build-message-circle {
     @apply alert-icon text-status-red;
@@ -411,7 +497,9 @@
   .code-area-external-link:hover {
     @apply hover:text-accent-foreground;
   }
-
+  .dropdown-component-disabled {
+    @apply pointer-events-none cursor-not-allowed;
+  }
   .dropdown-component-outline {
     @apply input-edit-node relative pr-8;
   }
@@ -421,11 +509,17 @@
   .dropdown-component-display {
     @apply block w-full truncate bg-background;
   }
+  .dropdown-component-display-disabled {
+    @apply text-muted-foreground;
+  }
   .dropdown-component-arrow {
-    @apply pointer-events-none absolute inset-y-0 right-0 flex items-center pr-2;
+    @apply pointer-events-none absolute inset-y-0 flex items-center pr-2;
   }
   .dropdown-component-arrow-color {
-    @apply extra-side-bar-save-disable h-5 w-5;
+    @apply h-5 w-5 text-accent-foreground;
+  }
+  .dropdown-component-arrow-color-disable {
+    @apply h-5 w-5 text-muted-foreground;
   }
   .dropdown-component-options {
     @apply z-10 mt-1 max-h-60 overflow-auto rounded-md bg-background py-1 text-base shadow-lg ring-1 ring-black ring-opacity-5 focus:outline-none sm:text-sm;
@@ -449,7 +543,7 @@
     @apply absolute inset-y-0 right-0 flex items-center pr-4;
   }
   .dropdown-component-check-icon {
-    @apply h-5 w-5 text-black;
+    @apply h-5 w-5 text-primary;
   }
 
   .edit-flow-arrangement {
@@ -467,7 +561,7 @@
     @apply flex items-center gap-0.5 rounded-md px-1.5 py-1 text-sm font-medium;
   }
   .header-menu-bar-display {
-    @apply flex max-w-[120px] cursor-pointer items-center gap-2 lg:max-w-[200px];
+    @apply flex max-w-[115px] cursor-pointer items-center gap-2 lg:max-w-[145px];
   }
   .header-menu-flow-name {
     @apply flex-1 truncate;
@@ -553,7 +647,7 @@
   }
 
   .app-div {
-    @apply fixed bottom-5 left-5 flex flex-col-reverse;
+    @apply absolute bottom-5 left-5 flex flex-col-reverse;
   }
 
   .chat-input-modal-txtarea {
@@ -707,10 +801,6 @@
     @apply flex-max-width mt-2 h-full;
   }
 
-  .button-box-modal-div {
-    @apply flex transform flex-col items-center justify-center rounded-lg border border-ring text-center shadow hover:scale-105 hover:shadow-lg;
-  }
-
   .dialog-header-modal-div {
     @apply absolute left-0 top-2 z-50 hidden pl-4 pt-4 sm:block;
   }
@@ -802,7 +892,7 @@
     @apply mx-auto mt-4 flex h-12 w-12 flex-shrink-0 items-center justify-center rounded-full bg-almost-light-blue sm:mx-0 sm:h-10 sm:w-10;
   }
   .prompt-modal-icon {
-    @apply h-6 w-6 text-almost-medium-blue;
+    @apply h-6 w-6 text-primary;
   }
   .prompt-modal-txtarea-arrangement {
     @apply flex-max-width h-full flex-row items-center justify-center gap-4 overflow-auto bg-accent p-4;
@@ -825,13 +915,13 @@
   }
 
   .api-modal-tabs {
-    @apply flex h-full max-w-full flex-col overflow-hidden rounded-md border bg-muted text-center sm:w-[75vw] md:w-[75vw] lg:w-[75vw] xl:w-[76vw] 2xl:w-full;
+    @apply flex h-full flex-col overflow-hidden rounded-md border bg-muted text-center;
   }
   .api-modal-tablist-div {
-    @apply flex items-center justify-between px-2;
+    @apply flex items-center justify-between px-2 py-2;
   }
   .api-modal-tabs-content {
-    @apply -mt-1 h-full w-full overflow-hidden px-4 pb-4;
+    @apply -mt-1 h-full w-full px-4 pb-4;
   }
   .api-modal-accordion-display {
     @apply mt-2 flex h-full w-full;
@@ -841,7 +931,7 @@
   }
 
   .icons-parameters-comp {
-    @apply ml-3 h-6 w-6;
+    @apply h-6 w-6;
   }
 
   .form-modal-lock-true {
@@ -854,11 +944,11 @@
     @apply bg-white text-primary;
   }
   .code-highlight {
-    @apply block max-h-[64vh] w-full overflow-y-hidden border-0 px-3 py-2 text-sm outline-0 word-break-break-word;
+    @apply block w-full overflow-auto border-0 px-3 py-2 text-sm outline-0 word-break-break-word;
   }
 
   .code-nohighlight {
-    @apply block max-h-[70vh] w-full overflow-y-hidden border-0 px-3 py-2 text-sm outline-0 word-break-break-word;
+    @apply block w-full overflow-auto border-0 px-3 py-2 text-sm outline-0 word-break-break-word;
   }
   .form-modal-lockchat {
     @apply form-input block w-full rounded-md border-border p-4 pr-16 custom-scroll focus:border-ring focus:ring-ring sm:text-sm;
@@ -876,13 +966,13 @@
     @apply mr-2 h-5 w-5 rotate-[44deg];
   }
   .form-modal-play-icon {
-    @apply mx-1 h-5 w-5;
+    @apply mx-1 h-5 w-5 fill-current;
   }
   .form-modal-chat-position {
     @apply flex-max-width px-2 py-6 pl-4 pr-9;
   }
   .form-modal-chatbot-icon {
-    @apply mb-3 ml-3 mr-6 mt-1;
+    @apply mb-3 ml-3 mr-6 mt-1 flex flex-col;
   }
   .form-modal-chat-image {
     @apply flex flex-col items-center gap-1;
@@ -926,9 +1016,6 @@
   .form-modal-initial-prompt-btn {
     @apply mb-2 flex items-center gap-2 rounded-md border border-border bg-background px-4 py-2 text-sm font-semibold shadow-sm;
   }
-  .form-modal-iv-box {
-    @apply flex-max-width mt-2 h-[80vh];
-  }
   .form-modal-iv-size {
     @apply mr-6 flex h-full w-2/6 flex-col justify-start overflow-auto scrollbar-hide;
   }
@@ -980,6 +1067,9 @@
   .langflow-chat-span {
     @apply text-lg text-foreground;
   }
+  .card-filter {
+    @apply bg-background bg-fixed opacity-20;
+  }
   .langflow-chat-desc {
     @apply w-2/4 rounded-md border border-border bg-muted px-6 py-8;
   }
@@ -1012,7 +1102,7 @@
   }
 
   .beta-badge-wrapper {
-    @apply absolute right-0 top-0 h-16 w-16 overflow-hidden rounded-tr-lg;
+    @apply pointer-events-none absolute right-0 top-0 h-16 w-16 overflow-hidden rounded-tr-lg;
   }
   .beta-badge-content {
     @apply mt-2 w-24 rotate-45 bg-beta-background text-center text-xs font-semibold text-beta-foreground;
diff --git a/src/frontend/src/style/classes.css b/src/frontend/src/style/classes.css
index 1e274135d1b..60a1fd51ca6 100644
--- a/src/frontend/src/style/classes.css
+++ b/src/frontend/src/style/classes.css
@@ -55,16 +55,110 @@ select:-webkit-autofill:focus {
   width: 8px;
 }
 
+.ag-cell {
+  display: block;
+  width: 100%;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+}
+
+.ag-cell-focus {
+  border-radius: 0.375rem;
+  border: 1px solid #94a3b8 !important;
+  background-color: transparent !important;
+  text-align: left;
+  font-size: 0.875rem;
+  box-shadow: 0 1px 2px 0 rgba(0, 0, 0, 0.05) !important;
+  outline: none !important;
+  outline-color: transparent !important;
+}
+
+.ag-cell-focus:focus {
+  border-color: #94a3b8 !important;
+  box-shadow: 0 0 0 3px rgba(0, 0, 0, 0.05) !important;
+  background-color: transparent !important;
+  outline: none !important;
+  outline-color: transparent !important;
+}
+
+input .ag-cell-edit-input {
+  border: 1px solid transparent !important;
+  outline: none !important;
+  outline-color: transparent !important;
+}
+
+input[class^="ag-"]:not([type]),
+input[class^="ag-"][type="text"],
+input[class^="ag-"][type="number"],
+input[class^="ag-"][type="tel"],
+input[class^="ag-"][type="date"],
+input[class^="ag-"][type="datetime-local"],
+textarea[class^="ag-"] {
+  border: 1px solid transparent !important;
+  outline: none !important;
+  outline-color: transparent !important;
+  -webkit-box-shadow: none !important; /* Safari and older Chrome versions */
+  -moz-box-shadow: none !important; /* Older Firefox versions */
+  box-shadow: none !important; /* Standard syntax */
+}
+
+input[class^="ag-"][type="text"]:focus,
+input[class^="ag-"][type="number"]:focus,
+input[class^="ag-"][type="tel"]:focus,
+input[class^="ag-"][type="date"]:focus,
+input[class^="ag-"][type="datetime-local"]:focus,
+textarea[class^="ag-"]:focus {
+  border: 1px solid transparent !important;
+  outline-color: transparent !important;
+  outline: none !important;
+  -webkit-box-shadow: none !important; /* Safari and older Chrome versions */
+  -moz-box-shadow: none !important; /* Older Firefox versions */
+  box-shadow: none !important; /* Standard syntax */
+}
+
 .ace_scrollbar::-webkit-scrollbar-track {
-  background-color: #f1f1f1;
+  background-color: hsl(var(--muted));
 }
 
 .ace_scrollbar::-webkit-scrollbar-thumb {
-  background-color: #ccc;
+  background-color: hsl(var(--border));
   border-radius: 999px;
 }
 
 .ace_scrollbar::-webkit-scrollbar-thumb:hover {
-  background-color: #bbb;
+  background-color: hsl(var(--ring));
   border-radius: 999px;
 }
+
+.json-view-playground-white-left {
+  background-color: #fff !important;
+  height: fit-content !important;
+}
+
+.json-view-playground-dark {
+  background-color: #141924 !important;
+  height: fit-content !important;
+}
+
+.json-view-playground-white {
+  background-color: #f8fafc !important;
+  height: fit-content !important;
+}
+
+.json-view-playground-dark-left {
+  background-color: #0c101a !important;
+  height: fit-content !important;
+}
+
+.json-view-white {
+  background-color: #f8fafc !important;
+}
+
+.json-view-dark {
+  background-color: #141924 !important;
+}
+
+.react-flow__node.dragging * {
+  cursor: grabbing !important;
+}
diff --git a/src/frontend/src/style/index.css b/src/frontend/src/style/index.css
index 0185d25b791..e362a03456f 100644
--- a/src/frontend/src/style/index.css
+++ b/src/frontend/src/style/index.css
@@ -22,14 +22,17 @@
     --secondary-foreground: 222.2 47.4% 11.2%; /* hsl(222 47% 11%) */
     --accent: 210 30% 96.1%; /* hsl(210 30% 96%) */
     --accent-foreground: 222.2 47.4% 11.2%; /* hsl(222 47% 11%) */
-    --destructive: 0 100% 50%; /* hsl(0 100% 50%) */
+    --destructive: 0 60% 40%; /* hsl(0 60% 40%) */
     --destructive-foreground: 210 40% 98%; /* hsl(210 40% 98%) */
     --radius: 0.5rem;
     --ring: 215 20.2% 65.1%; /* hsl(215 20% 65%) */
     --round-btn-shadow: #00000063;
+    --ice: #31a3cc;
+    --selected: #2196f3;
 
     --error-background: #fef2f2;
     --error-foreground: #991b1b;
+    --error: #991b1b;
 
     --success-background: #f0fdf4;
     --success-foreground: #14532d;
@@ -43,12 +46,15 @@
 
     --beta-background: rgb(219 234 254);
     --beta-foreground: rgb(37 99 235);
+    --beta-foreground-soft: rgb(37 99 235 / 80%);
 
     --chat-bot-icon: #afe6ef;
     --chat-user-icon: #aface9;
 
     --component-icon: #d8598a;
     --flow-icon: #2f67d0;
+    --hover: #f2f4f5;
+    --disabled-run: #6366f1;
 
     /* Colors that are shared in dark and light mode */
     --blur-shared: #151923de;
@@ -60,12 +66,17 @@
     --chat-send: #059669;
     --status-green: #4ade80;
     --status-blue: #2563eb;
+    --status-gray: #6b7280;
     --connection: #555;
   }
 
   .dark {
-    --background: 224 35% 7.5%; /* hsl(224 40% 10%) */
+    --background: 224 28% 7.5%; /* hsl(224 10% 7.5%) */
     --foreground: 213 31% 80%; /* hsl(213 31% 91%) */
+    --ice: #60a5fa;
+    --hover: #1a202e;
+    --disabled-run: #6366f1;
+    --selected: #0369a1;
 
     --muted: 223 27% 11%; /* hsl(223 27% 11%) */
     --muted-foreground: 215.4 16.3% 56.9%; /* hsl(215 16% 56%) */
@@ -82,13 +93,13 @@
     --primary: 210 20% 80%; /* hsl(210 20% 80%) */
     --primary-foreground: 222.2 27.4% 1.2%; /* hsl(222 47% 1%) */
 
-    --secondary: 222.2 37.4% 7.2%; /* hsl(222 47% 11%) */
+    --secondary: 222.2 30.4% 7.2%; /* hsl(222 47% 11%) */
     --secondary-foreground: 210 40% 80%; /* hsl(210 40% 80%) */
 
     --accent: 216 24% 20%; /* hsl(216 34% 17%) */
     --accent-foreground: 210 30% 98%; /* hsl(210 40% 98%) */
 
-    --destructive: 0 63% 31%; /* hsl(0 63% 31%) */
+    --destructive: 0 60% 25%; /* hsl(0 60% 25%) */
     --destructive-foreground: 210 40% 98%; /* hsl(210 40% 98%) */
 
     --ring: 216 24% 30%; /* hsl(216 24% 30%) */
@@ -102,6 +113,7 @@
 
     --error-foreground: #fef2f2;
     --error-background: #450a0a;
+    --error: #991b1b;
 
     --info-foreground: #eff6ff;
     --info-background: #172554;
@@ -123,10 +135,11 @@
     --chat-send: #059669;
     --status-green: #4ade80;
     --status-blue: #2563eb;
-    --connection: #555;
+    --connection: #6d6c6c;
 
     --beta-background: rgb(37 99 235);
     --beta-foreground: rgb(219 234 254);
+    --beta-foreground-soft: rgb(219 234 254);
 
     --chat-bot-icon: #235d70;
     --chat-user-icon: #4f3d6e;
diff --git a/src/frontend/src/types/api/index.ts b/src/frontend/src/types/api/index.ts
index 46e62376cdd..f5f3548058d 100644
--- a/src/frontend/src/types/api/index.ts
+++ b/src/frontend/src/types/api/index.ts
@@ -1,23 +1,33 @@
 import { Edge, Node, Viewport } from "reactflow";
+import { ChatInputType, ChatOutputType } from "../chat";
 import { FlowType } from "../flow";
 //kind and class are just representative names to represent the actual structure of the object received by the API
 export type APIDataType = { [key: string]: APIKindType };
 export type APIObjectType = { [key: string]: APIKindType };
 export type APIKindType = { [key: string]: APIClassType };
 export type APITemplateType = {
-  [key: string]: TemplateVariableType;
+  [key: string]: InputFieldType;
 };
 
 export type CustomFieldsType = {
   [key: string]: Array<string>;
 };
 
+export type CustomComponentRequest = {
+  data: APIClassType;
+  type: string;
+};
+
 export type APIClassType = {
-  base_classes: Array<string>;
+  base_classes?: Array<string>;
   description: string;
   template: APITemplateType;
   display_name: string;
   icon?: string;
+  edited?: boolean;
+  is_input?: boolean;
+  is_output?: boolean;
+  conditional_paths?: Array<string>;
   input_types?: Array<string>;
   output_types?: Array<string>;
   custom_fields?: CustomFieldsType;
@@ -25,7 +35,10 @@ export type APIClassType = {
   documentation: string;
   error?: string;
   official?: boolean;
+  outputs?: Array<OutputFieldType>;
+  frozen?: boolean;
   flow?: FlowType;
+  field_order?: string[];
   [key: string]:
     | Array<string>
     | string
@@ -34,10 +47,11 @@ export type APIClassType = {
     | FlowType
     | CustomFieldsType
     | boolean
-    | undefined;
+    | undefined
+    | Array<{ types: Array<string>; selected?: string }>;
 };
 
-export type TemplateVariableType = {
+export type InputFieldType = {
   type: string;
   required: boolean;
   placeholder?: string;
@@ -51,8 +65,26 @@ export type TemplateVariableType = {
   input_types?: Array<string>;
   display_name?: string;
   name?: string;
+  real_time_refresh?: boolean;
+  refresh_button?: boolean;
+  refresh_button_text?: string;
   [key: string]: any;
 };
+
+export type OutputFieldProxyType = {
+  id: string;
+  name: string;
+  nodeDisplayName: string;
+};
+
+export type OutputFieldType = {
+  types: Array<string>;
+  selected?: string;
+  name: string;
+  display_name: string;
+  hidden?: boolean;
+  proxy?: OutputFieldProxyType;
+};
 export type sendAllProps = {
   nodes: Node[];
   edges: Edge[];
@@ -85,6 +117,10 @@ export type UploadFileTypeAPI = {
   flowId: string;
 };
 
+export type ProfilePicturesTypeAPI = {
+  files: string[];
+};
+
 export type LoginType = {
   grant_type?: string;
   username: string;
@@ -129,3 +165,63 @@ export type Component = {
   data: Object;
   tags: [string];
 };
+
+export type VerticesOrderTypeAPI = {
+  ids: Array<string>;
+  vertices_to_run: Array<string>;
+  run_id: string;
+};
+
+export type VertexBuildTypeAPI = {
+  id: string;
+  inactivated_vertices: Array<string> | null;
+  next_vertices_ids: Array<string>;
+  top_level_vertices: Array<string>;
+  run_id?: string;
+  valid: boolean;
+  data: VertexDataTypeAPI;
+  timestamp: string;
+  params: any;
+  messages: ChatOutputType[] | ChatInputType[];
+  artifacts: any | ChatOutputType | ChatInputType;
+};
+
+export type ErrorLogType = {
+  errorMessage: string;
+  stackTrace: string;
+};
+
+export type OutputLogType = {
+  message: any | ErrorLogType;
+  type: string;
+};
+
+// data is the object received by the API
+// it has results, artifacts, timedelta, duration
+export type VertexDataTypeAPI = {
+  results: { [key: string]: string };
+  outputs: { [key: string]: OutputLogType };
+  messages: ChatOutputType[] | ChatInputType[];
+  inactive?: boolean;
+  timedelta?: number;
+  duration?: string;
+  artifacts?: any | ChatOutputType | ChatInputType;
+  message?: ChatOutputType | ChatInputType;
+};
+
+export type CodeErrorDataTypeAPI = {
+  error: string | undefined;
+  traceback: string | undefined;
+};
+
+// the error above is inside this error.response.data.detail.error
+// which comes from a request to the API
+// to type the error we need to know the structure of the object
+
+// error that has a response, that has a data, that has a detail, that has an error
+export type ResponseErrorTypeAPI = {
+  response: { data: { detail: CodeErrorDataTypeAPI } };
+};
+export type ResponseErrorDetailAPI = {
+  response: { data: { detail: string } };
+};
diff --git a/src/frontend/src/types/chat/index.ts b/src/frontend/src/types/chat/index.ts
index 62cb4eb78fa..72ebb537063 100644
--- a/src/frontend/src/types/chat/index.ts
+++ b/src/frontend/src/types/chat/index.ts
@@ -6,7 +6,35 @@ export type ChatMessageType = {
   template?: string;
   isSend: boolean;
   thought?: string;
-  files?: Array<{ data: string; type: string; data_type: string }>;
+  files?: Array<{ path: string; type: string; name: string }>;
   prompt?: string;
-  chatKey: string;
+  chatKey?: string;
+  componentId: string;
+  stream_url?: string | null;
+  sender_name?: string;
+};
+
+export type ChatOutputType = {
+  message: string;
+  sender: string;
+  sender_name: string;
+  stream_url?: string;
+  files?: Array<{ path: string; type: string; name: string }>;
+};
+
+export type ChatInputType = {
+  message: string;
+  sender: string;
+  sender_name: string;
+  stream_url?: string;
+  files?: Array<{ path: string; type: string; name: string }>;
+};
+
+export type FlowPoolObjectType = {
+  timestamp: string;
+  valid: boolean;
+  // list of chat outputs or list of chat inputs
+  messages: Array<ChatOutputType | ChatInputType> | [];
+  data: { artifacts: any; results: any | ChatOutputType | ChatInputType };
+  id: string;
 };
diff --git a/src/frontend/src/types/components/index.ts b/src/frontend/src/types/components/index.ts
index d78ce867c07..992c012bd16 100644
--- a/src/frontend/src/types/components/index.ts
+++ b/src/frontend/src/types/components/index.ts
@@ -1,15 +1,22 @@
-import { ReactElement, ReactNode } from "react";
-import { ReactFlowJsonObject, XYPosition } from "reactflow";
-import { APIClassType, APITemplateType, TemplateVariableType } from "../api";
+import { ReactElement, ReactNode, SetStateAction } from "react";
+import { ReactFlowJsonObject } from "reactflow";
+import { InputOutput } from "../../constants/enums";
+import {
+  APIClassType,
+  APITemplateType,
+  InputFieldType,
+  OutputFieldProxyType,
+} from "../api";
 import { ChatMessageType } from "../chat";
 import { FlowStyleType, FlowType, NodeDataType, NodeType } from "../flow/index";
 import { sourceHandleType, targetHandleType } from "./../flow/index";
 export type InputComponentType = {
+  name?: string;
   autoFocus?: boolean;
   onBlur?: (event: React.FocusEvent<HTMLInputElement>) => void;
-  value: string;
+  value?: string;
   disabled?: boolean;
-  onChange: (value: string) => void;
+  onChange?: (value: string, snapshot?: boolean) => void;
   password: boolean;
   required?: boolean;
   isForm?: boolean;
@@ -20,28 +27,45 @@ export type InputComponentType = {
   className?: string;
   id?: string;
   blurOnEnter?: boolean;
+  optionsIcon?: string;
+  optionsPlaceholder?: string;
+  options?: string[];
+  optionsButton?: ReactElement;
+  optionButton?: (option: string) => ReactElement;
+  selectedOption?: string;
+  setSelectedOption?: (value: string) => void;
+  selectedOptions?: string[];
+  setSelectedOptions?: (value: string[]) => void;
+  objectOptions?: Array<{ name: string; id: string }>;
+  isObjectOption?: boolean;
+  onChangeFolderName?: (e: any) => void;
 };
 export type ToggleComponentType = {
   enabled: boolean;
   setEnabled: (state: boolean) => void;
-  disabled: boolean | undefined;
+  disabled?: boolean | undefined;
   size: "small" | "medium" | "large";
   id?: string;
+  editNode?: boolean;
 };
 export type DropDownComponentType = {
+  disabled?: boolean;
+  isLoading?: boolean;
   value: string;
   options: string[];
   onSelect: (value: string) => void;
   editNode?: boolean;
-  apiModal?: boolean;
-  numberOfOptions?: number;
   id?: string;
+  children?: ReactNode;
 };
 export type ParameterComponentType = {
+  selected?: boolean;
   data: NodeDataType;
   title: string;
+  conditionPath?: string | null;
+  key: string;
   id: sourceHandleType | targetHandleType;
-  color: string;
+  colors: string[];
   left: boolean;
   type: string | undefined;
   required?: boolean;
@@ -51,14 +75,28 @@ export type ParameterComponentType = {
   info?: string;
   proxy?: { field: string; id: string };
   showNode?: boolean;
-  index?: string;
+  index: number;
   onCloseModal?: (close: boolean) => void;
+  outputName?: string;
+  outputProxy?: OutputFieldProxyType;
 };
 export type InputListComponentType = {
   value: string[];
   onChange: (value: string[]) => void;
   disabled: boolean;
   editNode?: boolean;
+  componentName?: string;
+  playgroundDisabled?: boolean;
+};
+
+export type InputGlobalComponentType = {
+  disabled: boolean;
+  onChange: (value: string, snapshot?: boolean) => void;
+  setDb: (value: boolean) => void;
+  name: string;
+  data: InputFieldType;
+  editNode?: boolean;
+  playgroundDisabled?: boolean;
 };
 
 export type KeyPairListComponentType = {
@@ -68,14 +106,17 @@ export type KeyPairListComponentType = {
   editNode?: boolean;
   duplicateKey?: boolean;
   editNodeModal?: boolean;
+  isList?: boolean;
 };
 
 export type DictComponentType = {
   value: any;
   onChange: (value) => void;
-  disabled: boolean;
+  disabled?: boolean;
   editNode?: boolean;
   id?: string;
+  left?: boolean;
+  output?: boolean;
 };
 
 export type TextAreaComponentType = {
@@ -83,19 +124,29 @@ export type TextAreaComponentType = {
   nodeClass?: APIClassType;
   setNodeClass?: (value: APIClassType) => void;
   disabled: boolean;
-  onChange: (value: string[] | string) => void;
+  onChange: (value: string[] | string, skipSnapshot?: boolean) => void;
   value: string;
   editNode?: boolean;
   id?: string;
   readonly?: boolean;
 };
 
+export type outputComponentType = {
+  types: string[];
+  selected: string;
+  nodeId: string;
+  frozen?: boolean;
+  idx: number;
+  name: string;
+  proxy?: OutputFieldProxyType;
+};
+
 export type PromptAreaComponentType = {
   field_name?: string;
   nodeClass?: APIClassType;
   setNodeClass?: (value: APIClassType, code?: string) => void;
   disabled: boolean;
-  onChange: (value: string[] | string) => void;
+  onChange: (value: string[] | string, skipSnapshot?: boolean) => void;
   value: string;
   readonly?: boolean;
   editNode?: boolean;
@@ -103,8 +154,9 @@ export type PromptAreaComponentType = {
 };
 
 export type CodeAreaComponentType = {
+  setOpenModal?: (bool: boolean) => void;
   disabled: boolean;
-  onChange: (value: string[] | string) => void;
+  onChange: (value: string[] | string, skipSnapshot?: boolean) => void;
   value: string;
   editNode?: boolean;
   nodeClass?: APIClassType;
@@ -112,11 +164,14 @@ export type CodeAreaComponentType = {
   dynamic?: boolean;
   id?: string;
   readonly?: boolean;
+  open?: boolean;
+  setOpen?: (open: boolean) => void;
 };
 
 export type FileComponentType = {
+  IOInputProps?;
   disabled: boolean;
-  onChange: (value: string[] | string) => void;
+  onChange: (value: string[] | string, skipSnapshot?: boolean) => void;
   value: string;
   fileTypes: Array<string>;
   onFileChange: (value: string) => void;
@@ -125,7 +180,8 @@ export type FileComponentType = {
 
 export type DisclosureComponentType = {
   children: ReactNode;
-  openDisc: boolean;
+  defaultOpen: boolean;
+  isChild?: boolean;
   button: {
     title: string;
     Icon: React.ElementType;
@@ -135,6 +191,7 @@ export type DisclosureComponentType = {
       onClick: (event?: React.MouseEvent) => void;
     }[];
   };
+  testId?: string;
 };
 
 export type RangeSpecType = {
@@ -146,7 +203,8 @@ export type RangeSpecType = {
 export type IntComponentType = {
   value: string;
   disabled?: boolean;
-  onChange: (value: string) => void;
+  rangeSpec: RangeSpecType;
+  onChange: (value: string, skipSnapshot?: boolean) => void;
   editNode?: boolean;
   id?: string;
 };
@@ -154,12 +212,20 @@ export type IntComponentType = {
 export type FloatComponentType = {
   value: string;
   disabled?: boolean;
-  onChange: (value: string) => void;
+  onChange: (value: string, skipSnapshot?: boolean) => void;
   rangeSpec: RangeSpecType;
   editNode?: boolean;
   id?: string;
 };
 
+export type FilePreviewType = {
+  loading: boolean;
+  file: File;
+  error: boolean;
+  id: string;
+  path?: string;
+};
+
 export type TooltipComponentType = {
   children: ReactElement;
   title: string | ReactElement;
@@ -184,16 +250,15 @@ export type ProgressBarType = {
   max?: number;
 };
 
-export type RadialProgressType = {
-  value?: number;
-  color?: string;
-};
-
 export type AccordionComponentType = {
   children?: ReactElement;
   open?: string[];
   trigger?: string | ReactElement;
+  disabled?: boolean;
   keyValue?: string;
+  openDisc?: boolean;
+  sideBar?: boolean;
+  options?: { title: string; icon: string }[];
 };
 export type Side = "top" | "right" | "bottom" | "left";
 
@@ -238,9 +303,11 @@ export type IconComponentProps = {
 export type InputProps = {
   name: string | null;
   description: string | null;
+  endpointName?: string;
   maxLength?: number;
   setName?: (name: string) => void;
   setDescription?: (description: string) => void;
+  setEndpointName?: (endpointName: string) => void;
   invalidNameList?: string[];
 };
 
@@ -344,7 +411,8 @@ export type loginInputStateType = {
 export type patchUserInputStateType = {
   password: string;
   cnfPassword: string;
-  gradient: string;
+  profilePicture: string;
+  apikey: string;
 };
 
 export type UserInputType = {
@@ -358,11 +426,7 @@ export type UserInputType = {
 };
 
 export type ApiKeyType = {
-  title: string;
-  cancelText: string;
-  confirmationText: string;
   children: ReactElement;
-  icon: string;
   data?: any;
   onCloseModal: () => void;
 };
@@ -374,6 +438,7 @@ export type StoreApiKeyType = {
 export type groupedObjType = {
   family: string;
   type: string;
+  display_name?: string;
 };
 
 export type nodeGroupedObjType = {
@@ -414,6 +479,7 @@ export type nodeToolbarType = {
       description: string;
       display_name: string;
       documentation: string;
+      edited: boolean;
       template: APITemplateType;
     };
     value: void;
@@ -437,14 +503,25 @@ export type headerFlowsType = {
   style?: FlowStyleType;
 };
 
-export type chatInputType = {
+export type ChatInputType = {
+  isDragging: boolean;
+  files: FilePreviewType[];
+  setFiles: (
+    files: FilePreviewType[] | ((prev: FilePreviewType[]) => FilePreviewType[]),
+  ) => void;
   chatValue: string;
   inputRef: {
     current: any;
   };
   lockChat: boolean;
   noInput: boolean;
-  sendMessage: () => void;
+  sendMessage: ({
+    repeat,
+    files,
+  }: {
+    repeat: number;
+    files?: string[];
+  }) => void;
   setChatValue: (value: string) => void;
 };
 
@@ -470,15 +547,24 @@ export type fileCardPropsType = {
   fileName: string;
   content: string;
   fileType: string;
+  showFile?: boolean;
 };
 
 export type nodeToolbarPropsType = {
+  //  openWDoubleClick: boolean;
+  //  setOpenWDoubleClick: (open: boolean) => void;
   data: NodeDataType;
   deleteNode: (idx: string) => void;
-  position: XYPosition;
   setShowNode: (boolean: any) => void;
   numberOfHandles: number;
+  numberOfOutputHandles: number;
   showNode: boolean;
+  name?: string;
+  openAdvancedModal?: boolean;
+  onCloseAdvancedModal?: (close: boolean) => void;
+  isOutdated: boolean;
+  setShowState: (show: boolean | SetStateAction<boolean>) => void;
+  updateNode: () => void;
 };
 
 export type parsedDataType = {
@@ -501,29 +587,36 @@ export type iconsType = {
 
 export type modalHeaderType = {
   children: ReactNode;
-  description: string | null;
+  description: string | JSX.Element | null;
 };
 
 export type codeAreaModalPropsType = {
   setValue: (value: string) => void;
+  setOpenModal?: (bool: boolean) => void;
   value: string;
   nodeClass: APIClassType | undefined;
-  setNodeClass: (Class: APIClassType, code?: string) => void | undefined;
+  setNodeClass: (
+    Class: APIClassType,
+    code?: string,
+    type?: string,
+  ) => void | undefined;
   children: ReactNode;
   dynamic?: boolean;
   readonly?: boolean;
+  open?: boolean;
+  setOpen?: (open: boolean) => void;
 };
 
 export type chatMessagePropsType = {
   chat: ChatMessageType;
   lockChat: boolean;
   lastMessage: boolean;
-};
-
-export type formModalPropsType = {
-  open: boolean;
-  setOpen: Function;
-  flow: FlowType;
+  setLockChat: (lock: boolean) => void;
+  updateChat: (
+    chat: ChatMessageType,
+    message: string,
+    stream_url?: string,
+  ) => void;
 };
 
 export type genericModalPropsType = {
@@ -533,6 +626,7 @@ export type genericModalPropsType = {
   buttonText: string;
   modalTitle: string;
   type: number;
+  disabled?: boolean;
   nodeClass?: APIClassType;
   setNodeClass?: (Class: APIClassType, code?: string) => void;
   children: ReactNode;
@@ -540,6 +634,20 @@ export type genericModalPropsType = {
   readonly?: boolean;
 };
 
+export type newFlowModalPropsType = {
+  open: boolean;
+  setOpen: (open: boolean) => void;
+};
+
+export type IOModalPropsType = {
+  children: JSX.Element;
+  open: boolean;
+  setOpen: (open: boolean) => void;
+  disable?: boolean;
+  isPlayground?: boolean;
+  cleanOnClose?: boolean;
+};
+
 export type buttonBoxPropsType = {
   onClick: () => void;
   title: string;
@@ -593,20 +701,24 @@ export type codeTabsPropsType = {
   setActiveTab: (value: string) => void;
   isMessage?: boolean;
   tweaks?: {
-    tweak?: { current: tweakType };
-    tweaksList?: { current: Array<string> };
+    tweak?: tweakType;
+    tweaksList?: Array<string>;
     buildContent?: (value: string) => ReactNode;
     getValue?: (
       value: string,
       node: NodeType,
-      template: TemplateVariableType
+      template: InputFieldType,
+      tweak: tweakType,
     ) => string;
     buildTweakObject?: (
       tw: string,
       changes: string | string[] | boolean | number | Object[] | Object,
-      template: TemplateVariableType
-    ) => string | void;
+      template: InputFieldType,
+    ) => Promise<string | void>;
   };
+  activeTweaks?: boolean;
+  setActiveTweaks?: (value: boolean) => void;
+  allowExport?: boolean;
 };
 
 export type crashComponentPropsType = {
@@ -617,12 +729,17 @@ export type crashComponentPropsType = {
   resetErrorBoundary: (args) => void;
 };
 
+export type Log = {
+  message: string;
+};
+
 export type validationStatusType = {
   id: string;
-  params: string;
-  progress: number;
+  data: object | any;
+  outputs: Log[];
+  progress?: number;
   valid: boolean;
-  duration: string;
+  duration?: string;
 };
 
 export type ApiKey = {
@@ -636,10 +753,66 @@ export type ApiKey = {
 export type fetchErrorComponentType = {
   message: string;
   description: string;
+  openModal?: boolean;
+  setRetry: () => void;
+  isLoadingHealth: boolean;
 };
 
 export type dropdownButtonPropsType = {
   firstButtonName: string;
   onFirstBtnClick: () => void;
   options: Array<{ name: string; onBtnClick: () => void }>;
+  plusButton?: boolean;
+  dropdownOptions?: boolean;
+};
+
+export type IOFieldViewProps = {
+  type: InputOutput;
+  fieldType: string;
+  fieldId: string;
+  left?: boolean;
+};
+
+export type UndrawCardComponentProps = { flow: FlowType };
+
+export type chatViewProps = {
+  sendMessage: ({
+    repeat,
+    files,
+  }: {
+    repeat: number;
+    files?: string[];
+  }) => void;
+  chatValue: string;
+  setChatValue: (value: string) => void;
+  lockChat: boolean;
+  setLockChat: (lock: boolean) => void;
+};
+
+export type IOFileInputProps = {
+  field: InputFieldType;
+  updateValue: (e: any, type: string) => void;
+};
+
+export type toolbarSelectItemProps = {
+  value: string;
+  icon: string;
+  style?: string;
+  dataTestId: string;
+  ping?: boolean;
+  shortcut: string;
+};
+
+export type clearChatPropsType = {
+  lockChat: boolean;
+  setLockChat: (lock: boolean) => void;
+  setChatHistory: (chatHistory: ChatMessageType) => void;
+  method: string;
+};
+
+export type handleSelectPropsType = {
+  event: string;
+  lockChat: boolean;
+  setLockChat: (lock: boolean) => void;
+  setChatHistory: (chatHistory: ChatMessageType) => void;
 };
diff --git a/src/frontend/src/types/contexts/auth.ts b/src/frontend/src/types/contexts/auth.ts
index ff22aa87484..ba0998064e9 100644
--- a/src/frontend/src/types/contexts/auth.ts
+++ b/src/frontend/src/types/contexts/auth.ts
@@ -15,4 +15,5 @@ export type AuthContextType = {
   apiKey: string | null;
   setApiKey: (apiKey: string | null) => void;
   storeApiKey: (apiKey: string) => void;
+  getUser: () => void;
 };
diff --git a/src/frontend/src/types/flow/index.ts b/src/frontend/src/types/flow/index.ts
index 9f1821a0861..95e04f5b285 100644
--- a/src/frontend/src/types/flow/index.ts
+++ b/src/frontend/src/types/flow/index.ts
@@ -1,4 +1,5 @@
 import { ReactFlowJsonObject, XYPosition } from "reactflow";
+import { BuildStatus } from "../../constants/enums";
 import { APIClassType } from "../api/index";
 
 export type FlowType = {
@@ -6,13 +7,21 @@ export type FlowType = {
   id: string;
   data: ReactFlowJsonObject | null;
   description: string;
+  endpoint_name?: string;
   style?: FlowStyleType;
-  is_component: boolean;
-  parent?: string;
-  date_created?: string;
-  updated_at?: string;
+  is_component?: boolean;
   last_tested_version?: string;
+  updated_at?: string;
+  date_created?: string;
+  parent?: string;
+  folder?: string;
+  user_id?: string;
+  icon?: string;
+  icon_bg_color?: string;
+  folder_id?: string;
+  webhook?: boolean;
 };
+
 export type NodeType = {
   id: string;
   type?: string;
@@ -27,6 +36,8 @@ export type NodeDataType = {
   node?: APIClassType;
   id: string;
   output_types?: string[];
+  selected_output_type?: string;
+  buildStatus?: BuildStatus;
 };
 // FlowStyleType is the type of the style object that is used to style the
 // Flow card with an emoji and a color.
@@ -48,7 +59,9 @@ export type TweaksType = Array<
 export type sourceHandleType = {
   dataType: string;
   id: string;
-  baseClasses: string[];
+  output_types: string[];
+  conditionalPath?: string | null;
+  name: string;
 };
 //left side
 export type targetHandleType = {
diff --git a/src/frontend/src/types/messages/index.ts b/src/frontend/src/types/messages/index.ts
new file mode 100644
index 00000000000..738e162580d
--- /dev/null
+++ b/src/frontend/src/types/messages/index.ts
@@ -0,0 +1,13 @@
+type Message = {
+  artifacts: Record<string, any>;
+  flow_id: string;
+  index: number;
+  message: string;
+  sender: string;
+  sender_name: string;
+  session_id: string;
+  timestamp: string;
+  id: string;
+};
+
+export type { Message };
diff --git a/src/frontend/src/types/store/index.ts b/src/frontend/src/types/store/index.ts
index 331e16e3071..54b7cb478cd 100644
--- a/src/frontend/src/types/store/index.ts
+++ b/src/frontend/src/types/store/index.ts
@@ -18,3 +18,37 @@ export type StoreComponentResponse = {
   authorized: boolean;
   results: storeComponent[];
 };
+
+export type shortcutsStoreType = {
+  updateUniqueShortcut: (name: string, combination: string) => void;
+  output: string;
+  play: string;
+  flow: string;
+  group: string;
+  cut: string;
+  paste: string;
+  api: string;
+  open: string;
+  undo: string;
+  redo: string;
+  advanced: string;
+  minimize: string;
+  code: string;
+  copy: string;
+  duplicate: string;
+  component: string;
+  docs: string;
+  save: string;
+  delete: string;
+  update: string;
+  download: string;
+  freeze: string;
+  shortcuts: Array<{
+    name: string;
+    shortcut: string;
+  }>;
+  setShortcuts: (
+    newShortcuts: Array<{ name: string; shortcut: string }>,
+  ) => void;
+  getShortcutsFromStorage: () => void;
+};
diff --git a/src/frontend/src/types/tabs/index.ts b/src/frontend/src/types/tabs/index.ts
index f07bc775298..97693053b85 100644
--- a/src/frontend/src/types/tabs/index.ts
+++ b/src/frontend/src/types/tabs/index.ts
@@ -18,12 +18,12 @@ export type FlowsContextType = {
     newProject: boolean,
     flow?: FlowType,
     override?: boolean,
-    position?: XYPosition
+    position?: XYPosition,
   ) => Promise<String | undefined>;
   downloadFlow: (
     flow: FlowType,
     flowName: string,
-    flowDescription?: string
+    flowDescription?: string,
   ) => void;
   //keep
   downloadFlows: () => void;
@@ -43,11 +43,11 @@ export type FlowsContextType = {
   }) => Promise<String | never>;
   tabsState: FlowsState;
   setTabsState: (
-    update: FlowsState | ((oldState: FlowsState) => FlowsState)
+    update: FlowsState | ((oldState: FlowsState) => FlowsState),
   ) => void;
   saveComponent: (
     component: NodeDataType,
-    override: boolean
+    override: boolean,
   ) => Promise<String | undefined>;
   deleteComponent: (key: string) => void;
   version: string;
diff --git a/src/frontend/src/types/utils/typeCheckingUtils.ts b/src/frontend/src/types/utils/typeCheckingUtils.ts
new file mode 100644
index 00000000000..4173788a8a5
--- /dev/null
+++ b/src/frontend/src/types/utils/typeCheckingUtils.ts
@@ -0,0 +1,23 @@
+import { ErrorLogType } from "../api";
+
+export function isErrorLogType(value: any): value is ErrorLogType {
+  return (
+    typeof value === "object" &&
+    value !== null &&
+    "errorMessage" in value &&
+    typeof value.errorMessage === "string" &&
+    "stackTrace" in value &&
+    typeof value.stackTrace === "string"
+  );
+}
+
+export function isErrorLog(
+  log: any,
+): log is { type: "error"; message: ErrorLogType } {
+  return (
+    typeof log === "object" &&
+    log !== null &&
+    (log.type === "error" || log.type === "ValueError") &&
+    isErrorLogType(log.message)
+  );
+}
diff --git a/src/frontend/src/types/zustand/alert/index.ts b/src/frontend/src/types/zustand/alert/index.ts
index 1e273cc4ebb..7b283751735 100644
--- a/src/frontend/src/types/zustand/alert/index.ts
+++ b/src/frontend/src/types/zustand/alert/index.ts
@@ -3,19 +3,16 @@ import { AlertItemType } from "../../alerts";
 export type AlertStoreType = {
   errorData: { title: string; list?: Array<string> };
   setErrorData: (newState: { title: string; list?: Array<string> }) => void;
-  errorOpen: boolean;
-  setErrorOpen: (newState: boolean) => void;
   noticeData: { title: string; link?: string };
   setNoticeData: (newState: { title: string; link?: string }) => void;
-  noticeOpen: boolean;
-  setNoticeOpen: (newState: boolean) => void;
   successData: { title: string };
   setSuccessData: (newState: { title: string }) => void;
-  successOpen: boolean;
-  setSuccessOpen: (newState: boolean) => void;
   notificationCenter: boolean;
   setNotificationCenter: (newState: boolean) => void;
   notificationList: Array<AlertItemType>;
+  tempNotificationList: Array<AlertItemType>;
+  clearTempNotificationList: () => void;
+  removeFromTempNotificationList: (index: string) => void;
   clearNotificationList: () => void;
   removeFromNotificationList: (index: string) => void;
   loading: boolean;
diff --git a/src/frontend/src/types/zustand/flow/index.ts b/src/frontend/src/types/zustand/flow/index.ts
index 166f6220fbf..afc5ed15025 100644
--- a/src/frontend/src/types/zustand/flow/index.ts
+++ b/src/frontend/src/types/zustand/flow/index.ts
@@ -7,11 +7,69 @@ import {
   ReactFlowInstance,
   Viewport,
 } from "reactflow";
+import { BuildStatus } from "../../../constants/enums";
+import { VertexBuildTypeAPI } from "../../api";
+import { ChatInputType, ChatOutputType } from "../../chat";
 import { FlowState } from "../../tabs";
 
+export type FlowPoolObjectType = {
+  timestamp: string;
+  valid: boolean;
+  messages: Array<ChatOutputType | ChatInputType> | [];
+  data: {
+    artifacts: any | ChatOutputType | ChatInputType;
+    results: any | ChatOutputType | ChatInputType;
+  };
+  duration?: string;
+  progress?: number;
+  id: string;
+  buildId: string;
+};
+
+export type FlowPoolObjectTypeNew = {
+  //build
+  //1 - error->logs
+  //2 - success-> result
+  timestamp: string;
+  valid: boolean;
+  data: {
+    outputs?: any | ChatOutputType | ChatInputType;
+    results: any | ChatOutputType | ChatInputType;
+  };
+  duration?: string;
+  progress?: number;
+  //retrieve component type from id
+  id: string;
+  buildId: string;
+};
+
+export type VertexLayerElementType = {
+  id: string;
+  reference?: string;
+};
+
+export type FlowPoolType = {
+  [key: string]: Array<VertexBuildTypeAPI>;
+};
+
 export type FlowStoreType = {
-  updateSSEData: (sseData: object) => void;
-  sseData: object;
+  onFlowPage: boolean;
+  setOnFlowPage: (onFlowPage: boolean) => void;
+  flowPool: FlowPoolType;
+  inputs: Array<{
+    type: string;
+    id: string;
+    displayName: string;
+  }>;
+  outputs: Array<{
+    type: string;
+    id: string;
+    displayName: string;
+  }>;
+  hasIO: boolean;
+  setFlowPool: (flowPool: FlowPoolType) => void;
+  addDataToFlowPool: (data: VertexBuildTypeAPI, nodeId: string) => void;
+  CleanFlowPool: () => void;
   isBuilding: boolean;
   isPending: boolean;
   setIsBuilding: (isBuilding: boolean) => void;
@@ -28,32 +86,81 @@ export type FlowStoreType = {
     state:
       | FlowState
       | undefined
-      | ((oldState: FlowState | undefined) => FlowState)
+      | ((oldState: FlowState | undefined) => FlowState),
   ) => void;
   nodes: Node[];
   edges: Edge[];
   onNodesChange: OnNodesChange;
   onEdgesChange: OnEdgesChange;
-  setNodes: (update: Node[] | ((oldState: Node[]) => Node[])) => void;
-  setEdges: (update: Edge[] | ((oldState: Edge[]) => Edge[])) => void;
+  setNodes: (
+    update: Node[] | ((oldState: Node[]) => Node[]),
+    skipSave?: boolean,
+  ) => void;
+  setEdges: (
+    update: Edge[] | ((oldState: Edge[]) => Edge[]),
+    skipSave?: boolean,
+  ) => void;
   setNode: (id: string, update: Node | ((oldState: Node) => Node)) => void;
   getNode: (id: string) => Node | undefined;
   deleteNode: (nodeId: string | Array<string>) => void;
   deleteEdge: (edgeId: string | Array<string>) => void;
   paste: (
     selection: { nodes: any; edges: any },
-    position: { x: number; y: number; paneX?: number; paneY?: number }
+    position: { x: number; y: number; paneX?: number; paneY?: number },
   ) => void;
   lastCopiedSelection: { nodes: any; edges: any } | null;
   setLastCopiedSelection: (
     newSelection: { nodes: any; edges: any } | null,
-    isCrop?: boolean
+    isCrop?: boolean,
   ) => void;
-  isBuilt: boolean;
-  setIsBuilt: (isBuilt: boolean) => void;
   cleanFlow: () => void;
   setFilterEdge: (newState) => void;
   getFilterEdge: any[];
   onConnect: (connection: Connection) => void;
   unselectAll: () => void;
+  buildFlow: ({
+    startNodeId,
+    stopNodeId,
+    input_value,
+    files,
+    silent,
+    setLockChat,
+  }: {
+    setLockChat?: (lock: boolean) => void;
+    startNodeId?: string;
+    stopNodeId?: string;
+    input_value?: string;
+    files?: string[];
+    silent?: boolean;
+  }) => Promise<void>;
+  getFlow: () => { nodes: Node[]; edges: Edge[]; viewport: Viewport };
+  updateVerticesBuild: (
+    vertices: {
+      verticesIds: string[];
+      verticesLayers: VertexLayerElementType[][];
+      runId: string;
+      verticesToRun: string[];
+    } | null,
+  ) => void;
+  addToVerticesBuild: (vertices: string[]) => void;
+  removeFromVerticesBuild: (vertices: string[]) => void;
+  verticesBuild: {
+    verticesIds: string[];
+    verticesLayers: VertexLayerElementType[][];
+    runId: string;
+    verticesToRun: string[];
+  } | null;
+  updateBuildStatus: (nodeId: string[], status: BuildStatus) => void;
+  revertBuiltStatusFromBuilding: () => void;
+  flowBuildStatus: {
+    [key: string]: { status: BuildStatus; timestamp?: string };
+  };
+  updateFlowPool: (
+    nodeId: string,
+    data: VertexBuildTypeAPI | ChatOutputType | ChatInputType,
+    buildId?: string,
+  ) => void;
+  getNodePosition: (nodeId: string) => { x: number; y: number };
+  setLockChat: (lock: boolean) => void;
+  lockChat: boolean;
 };
diff --git a/src/frontend/src/types/zustand/flowIOStore/index.ts b/src/frontend/src/types/zustand/flowIOStore/index.ts
new file mode 100644
index 00000000000..54430f88e11
--- /dev/null
+++ b/src/frontend/src/types/zustand/flowIOStore/index.ts
@@ -0,0 +1,21 @@
+export type ChatInputType = {
+  result: string;
+};
+
+export type ChatOutputType = {
+  message: string;
+  sender: string;
+  sender_name: string;
+};
+
+export type FlowPoolObjectType = {
+  timestamp: string;
+  valid: boolean;
+  params: any;
+  data: { artifacts: any; results: any | ChatOutputType | ChatInputType };
+  id: string;
+};
+
+export type FlowPoolType = {
+  [key: string]: Array<FlowPoolObjectType>;
+};
diff --git a/src/frontend/src/types/zustand/flowsManager/index.ts b/src/frontend/src/types/zustand/flowsManager/index.ts
index 2a20c20d85b..aaafebb7b55 100644
--- a/src/frontend/src/types/zustand/flowsManager/index.ts
+++ b/src/frontend/src/types/zustand/flowsManager/index.ts
@@ -2,19 +2,27 @@ import { Edge, Node, Viewport, XYPosition } from "reactflow";
 import { FlowType } from "../../flow";
 
 export type FlowsManagerStoreType = {
+  getFlowById: (id: string) => FlowType | undefined;
   flows: Array<FlowType>;
+  allFlows: Array<FlowType>;
+  setAllFlows: (flows: FlowType[]) => void;
   setFlows: (flows: FlowType[]) => void;
   currentFlow: FlowType | undefined;
   currentFlowId: string;
   setCurrentFlowId: (currentFlowId: string) => void;
+  saveLoading: boolean;
   isLoading: boolean;
   setIsLoading: (isLoading: boolean) => void;
   refreshFlows: () => Promise<void>;
-  saveFlow: (flow: FlowType, silent?: boolean) => Promise<void>;
+  saveFlow: (flow: FlowType, silent?: boolean) => Promise<void> | undefined;
+  saveFlowDebounce: (
+    flow: FlowType,
+    silent?: boolean,
+  ) => Promise<void> | undefined;
   autoSaveCurrentFlow: (
     nodes: Node[],
     edges: Edge[],
-    viewport: Viewport
+    viewport: Viewport,
   ) => void;
   uploadFlows: () => Promise<void>;
   uploadFlow: ({
@@ -25,24 +33,32 @@ export type FlowsManagerStoreType = {
   }: {
     newProject: boolean;
     file?: File;
-    isComponent?: boolean;
+    isComponent: boolean | null;
     position?: XYPosition;
   }) => Promise<string | never>;
   addFlow: (
     newProject: boolean,
     flow?: FlowType,
     override?: boolean,
-    position?: XYPosition
+    position?: XYPosition,
+    fromDragAndDrop?: boolean,
   ) => Promise<string | undefined>;
   deleteComponent: (key: string) => Promise<void>;
-  removeFlow: (id: string) => Promise<void>;
+  removeFlow: (id: string | string[]) => Promise<void>;
   saveComponent: (
     component: any,
-    override: boolean
+    override: boolean,
   ) => Promise<string | undefined>;
   undo: () => void;
   redo: () => void;
   takeSnapshot: () => void;
+  examples: Array<FlowType>;
+  setExamples: (examples: FlowType[]) => void;
+  setCurrentFlow: (flow: FlowType) => void;
+  setSearchFlowsComponents: (search: string) => void;
+  searchFlowsComponents: string;
+  selectedFlowsComponentsCards: string[];
+  setSelectedFlowsComponentsCards: (selected: string[]) => void;
 };
 
 export type UseUndoRedoOptions = {
diff --git a/src/frontend/src/types/zustand/folders/index.ts b/src/frontend/src/types/zustand/folders/index.ts
new file mode 100644
index 00000000000..495d65b874e
--- /dev/null
+++ b/src/frontend/src/types/zustand/folders/index.ts
@@ -0,0 +1,30 @@
+import { FolderType } from "../../../pages/MainPage/entities";
+
+export type FoldersStoreType = {
+  folders: FolderType[];
+  getFoldersApi: (
+    refetch?: boolean,
+    startupApplication?: boolean,
+  ) => Promise<void>;
+  setFolders: (folders: FolderType[]) => void;
+  isLoadingFolders: boolean;
+  setIsLoadingFolders: (isLoadingFolders: boolean) => void;
+  selectedFolder: FolderType | null;
+  getFolderById: (id: string) => void;
+  getMyCollectionFolder: () => void;
+  myCollectionFlows: FolderType | null;
+  myCollectionId: string | null;
+  setMyCollectionId: () => void;
+  folderToEdit: FolderType | null;
+  setFolderToEdit: (folder: FolderType | null) => void;
+  folderUrl: string;
+  setFolderUrl: (folderUrl: string) => void;
+  folderDragging: boolean;
+  setFolderDragging: (set: boolean) => void;
+  uploadFolder: (folderId: string) => Promise<void>;
+  folderIdDragging: string;
+  setFolderIdDragging: (id: string) => void;
+  starterProjectId: string;
+  setStarterProjectId: (id: string) => void;
+  refreshFolders: () => void;
+};
diff --git a/src/frontend/src/types/zustand/globalVariables/index.ts b/src/frontend/src/types/zustand/globalVariables/index.ts
new file mode 100644
index 00000000000..4b178088c84
--- /dev/null
+++ b/src/frontend/src/types/zustand/globalVariables/index.ts
@@ -0,0 +1,31 @@
+export type GlobalVariablesStore = {
+  globalVariablesEntries: Array<string> | undefined;
+  globalVariables: {
+    [name: string]: {
+      id: string;
+      type?: string;
+      default_fields?: string[];
+      value?: string;
+    };
+  };
+  setGlobalVariables: (variables: {
+    [name: string]: {
+      id: string;
+      type?: string;
+      default_fields?: string[];
+      value?: string;
+    };
+  }) => void;
+  addGlobalVariable: (
+    name: string,
+    id: string,
+    type?: string,
+    default_fields?: string[],
+    value?: string,
+  ) => void;
+  removeGlobalVariable: (name: string) => Promise<void>;
+  getVariableId: (name: string) => string | undefined;
+  unavaliableFields: { [name: string]: string };
+  setUnavaliableFields: (fields: { [name: string]: string }) => void;
+  removeUnavaliableField: (field: string) => void;
+};
diff --git a/src/frontend/src/types/zustand/location/index.ts b/src/frontend/src/types/zustand/location/index.ts
new file mode 100644
index 00000000000..d804019e6e8
--- /dev/null
+++ b/src/frontend/src/types/zustand/location/index.ts
@@ -0,0 +1,4 @@
+export type LocationStoreType = {
+  routeHistory: string[];
+  setRouteHistory: (location: string) => void;
+};
diff --git a/src/frontend/src/types/zustand/messages/index.ts b/src/frontend/src/types/zustand/messages/index.ts
new file mode 100644
index 00000000000..b3ebd50d1d6
--- /dev/null
+++ b/src/frontend/src/types/zustand/messages/index.ts
@@ -0,0 +1,15 @@
+import { ColDef, ColGroupDef } from "ag-grid-community";
+import { Message } from "../../messages";
+
+export type MessagesStoreType = {
+  messages: Message[];
+  setMessages: (messages: Message[]) => void;
+  addMessage: (message: Message) => void;
+  removeMessage: (message: Message) => void;
+  updateMessage: (message: Message) => void;
+  clearMessages: () => void;
+  removeMessages: (ids: number[]) => void;
+  columns: Array<ColDef | ColGroupDef>;
+  setColumns: (columns: Array<ColDef | ColGroupDef>) => void;
+  deleteSession: (id: string) => void;
+};
diff --git a/src/frontend/src/types/zustand/tweaks/index.ts b/src/frontend/src/types/zustand/tweaks/index.ts
new file mode 100644
index 00000000000..3eb0a5f7315
--- /dev/null
+++ b/src/frontend/src/types/zustand/tweaks/index.ts
@@ -0,0 +1,8 @@
+import { tweakType } from "../../components";
+
+export type TweaksStoreType = {
+  tweak: tweakType;
+  setTweak: (tweak: tweakType) => void;
+  tweaksList: string[];
+  setTweaksList: (tweaksList: string[]) => void;
+};
diff --git a/src/frontend/src/types/zustand/types/index.ts b/src/frontend/src/types/zustand/types/index.ts
index 133afbda14a..1f2fa1ed2e4 100644
--- a/src/frontend/src/types/zustand/types/index.ts
+++ b/src/frontend/src/types/zustand/types/index.ts
@@ -7,5 +7,8 @@ export type TypesStoreType = {
   setTemplates: (newState: {}) => void;
   data: APIDataType;
   setData: (newState: {}) => void;
-  getTypes: () => Promise<void>;
+  getTypes: (force_refresh?: boolean) => Promise<void>;
+  ComponentFields: Set<string>;
+  setComponentFields: (fields: Set<string>) => void;
+  addComponentField: (field: string) => void;
 };
diff --git a/src/frontend/src/utils/buildUtils.ts b/src/frontend/src/utils/buildUtils.ts
new file mode 100644
index 00000000000..f3ae642bc66
--- /dev/null
+++ b/src/frontend/src/utils/buildUtils.ts
@@ -0,0 +1,316 @@
+import { AxiosError } from "axios";
+import { Edge, Node } from "reactflow";
+import { BuildStatus } from "../constants/enums";
+import { getVerticesOrder, postBuildVertex } from "../controllers/API";
+import useAlertStore from "../stores/alertStore";
+import useFlowStore from "../stores/flowStore";
+import { VertexBuildTypeAPI } from "../types/api";
+import { isErrorLogType } from "../types/utils/typeCheckingUtils";
+import { VertexLayerElementType } from "../types/zustand/flow";
+
+type BuildVerticesParams = {
+  setLockChat?: (lock: boolean) => void;
+  flowId: string; // Assuming FlowType is the type for your flow
+  input_value?: any; // Replace any with the actual type if it's not any
+  files?: string[];
+  startNodeId?: string | null; // Assuming nodeId is of type string, and it's optional
+  stopNodeId?: string | null; // Assuming nodeId is of type string, and it's optional
+  onGetOrderSuccess?: () => void;
+  onBuildUpdate?: (
+    data: VertexBuildTypeAPI,
+    status: BuildStatus,
+    buildId: string,
+  ) => void; // Replace any with the actual type if it's not any
+  onBuildComplete?: (allNodesValid: boolean) => void;
+  onBuildError?: (title, list, idList: VertexLayerElementType[]) => void;
+  onBuildStart?: (idList: VertexLayerElementType[]) => void;
+  onValidateNodes?: (nodes: string[]) => void;
+  nodes?: Node[];
+  edges?: Edge[];
+};
+
+function getInactiveVertexData(vertexId: string): VertexBuildTypeAPI {
+  // Build VertexBuildTypeAPI
+  let inactiveData = {
+    results: {},
+    outputs: {},
+    messages: [],
+    inactive: true,
+  };
+  let inactiveVertexData = {
+    id: vertexId,
+    data: inactiveData,
+    inactivated_vertices: null,
+    run_id: "",
+    next_vertices_ids: [],
+    top_level_vertices: [],
+    inactive_vertices: null,
+    valid: false,
+    params: null,
+    messages: [],
+    artifacts: null,
+    timestamp: new Date().toISOString(),
+  };
+
+  return inactiveVertexData;
+}
+
+export async function updateVerticesOrder(
+  flowId: string,
+  setLockChat?: (lock: boolean) => void,
+  startNodeId?: string | null,
+  stopNodeId?: string | null,
+  nodes?: Node[],
+  edges?: Edge[],
+): Promise<{
+  verticesLayers: VertexLayerElementType[][];
+  verticesIds: string[];
+  runId: string;
+  verticesToRun: string[];
+}> {
+  return new Promise(async (resolve, reject) => {
+    const setErrorData = useAlertStore.getState().setErrorData;
+    let orderResponse;
+    try {
+      orderResponse = await getVerticesOrder(
+        flowId,
+        startNodeId,
+        stopNodeId,
+        nodes,
+        edges,
+      );
+    } catch (error: any) {
+      setErrorData({
+        title: "Oops! Looks like you missed something",
+        list: [error.response?.data?.detail ?? "Unknown Error"],
+      });
+      useFlowStore.getState().setIsBuilding(false);
+      setLockChat && setLockChat(false);
+      throw new Error("Invalid nodes");
+    }
+    // orderResponse.data.ids,
+    // for each id we need to build the VertexLayerElementType object as
+    // {id: id, reference: id}
+    let verticesLayers: Array<Array<VertexLayerElementType>> =
+      orderResponse.data.ids.map((id: string) => {
+        return [{ id: id, reference: id }];
+      });
+
+    const runId = orderResponse.data.run_id;
+    const verticesToRun = orderResponse.data.vertices_to_run;
+
+    const verticesIds = orderResponse.data.ids;
+    useFlowStore.getState().updateVerticesBuild({
+      verticesLayers,
+      verticesIds,
+      runId,
+      verticesToRun,
+    });
+    resolve({ verticesLayers, verticesIds, runId, verticesToRun });
+  });
+}
+
+export async function buildVertices({
+  flowId,
+  input_value,
+  files,
+  startNodeId,
+  stopNodeId,
+  onGetOrderSuccess,
+  onBuildUpdate,
+  onBuildComplete,
+  onBuildError,
+  onBuildStart,
+  onValidateNodes,
+  nodes,
+  edges,
+  setLockChat,
+}: BuildVerticesParams) {
+  // if startNodeId and stopNodeId are provided
+  // something is wrong
+  if (startNodeId && stopNodeId) {
+    return;
+  }
+  let verticesOrderResponse = await updateVerticesOrder(
+    flowId,
+    setLockChat,
+    startNodeId,
+    stopNodeId,
+    nodes,
+    edges,
+  );
+  if (onValidateNodes) {
+    try {
+      onValidateNodes(verticesOrderResponse.verticesToRun);
+    } catch (e) {
+      useFlowStore.getState().setIsBuilding(false);
+      setLockChat && setLockChat(false);
+      return;
+    }
+  }
+  if (onGetOrderSuccess) onGetOrderSuccess();
+  let verticesBuild = useFlowStore.getState().verticesBuild;
+
+  const verticesIds = verticesBuild?.verticesIds!;
+  const verticesLayers = verticesBuild?.verticesLayers!;
+  const runId = verticesBuild?.runId!;
+  let stop = false;
+
+  useFlowStore.getState().updateBuildStatus(verticesIds, BuildStatus.TO_BUILD);
+  useFlowStore.getState().setIsBuilding(true);
+  let currentLayerIndex = 0; // Start with the first layer
+  // Set each vertex state to building
+  const buildResults: Array<boolean> = [];
+
+  // Build each layer
+  while (
+    currentLayerIndex <
+    (useFlowStore.getState().verticesBuild?.verticesLayers! || []).length
+  ) {
+    // Get the current layer
+    const currentLayer =
+      useFlowStore.getState().verticesBuild?.verticesLayers![currentLayerIndex];
+    // If there are no more layers, we are done
+    if (!currentLayer) {
+      if (onBuildComplete) {
+        const allNodesValid = buildResults.every((result) => result);
+        onBuildComplete(allNodesValid);
+        useFlowStore.getState().setIsBuilding(false);
+      }
+      return;
+    }
+    // If there is a callback for the start of the build, call it
+    if (onBuildStart) onBuildStart(currentLayer);
+    // Build each vertex in the current layer
+    await Promise.all(
+      currentLayer.map(async (element) => {
+        // Check if id is in the list of inactive nodes
+        if (
+          !useFlowStore
+            .getState()
+            .verticesBuild?.verticesIds.includes(element.id) &&
+          !useFlowStore
+            .getState()
+            .verticesBuild?.verticesIds.includes(element.reference ?? "") &&
+          onBuildUpdate
+        ) {
+          // If it is, skip building and set the state to inactive
+          if (element.id) {
+            onBuildUpdate(
+              getInactiveVertexData(element.id),
+              BuildStatus.INACTIVE,
+              runId,
+            );
+          }
+          if (element.reference) {
+            onBuildUpdate(
+              getInactiveVertexData(element.reference),
+              BuildStatus.INACTIVE,
+              runId,
+            );
+          }
+          buildResults.push(false);
+          return;
+        }
+
+        // Build the vertex
+        await buildVertex({
+          flowId,
+          id: element.id,
+          input_value,
+          files,
+          onBuildUpdate: (data: VertexBuildTypeAPI, status: BuildStatus) => {
+            if (onBuildUpdate) onBuildUpdate(data, status, runId);
+          },
+          onBuildError,
+          verticesIds,
+          buildResults,
+          stopBuild: () => {
+            stop = true;
+          },
+        });
+        if (stop) {
+          return;
+        }
+      }),
+    );
+    // Once the current layer is built, move to the next layer
+    currentLayerIndex += 1;
+
+    if (stop) {
+      break;
+    }
+  }
+  if (onBuildComplete) {
+    const allNodesValid = buildResults.every((result) => result);
+    onBuildComplete(allNodesValid);
+    useFlowStore.getState().setIsBuilding(false);
+  }
+}
+async function buildVertex({
+  flowId,
+  id,
+  input_value,
+  files,
+  onBuildUpdate,
+  onBuildError,
+  verticesIds,
+  buildResults,
+  stopBuild,
+}: {
+  flowId: string;
+  id: string;
+  input_value: string;
+  files?: string[];
+  onBuildUpdate?: (data: any, status: BuildStatus) => void;
+  onBuildError?: (title, list, idList: VertexLayerElementType[]) => void;
+  verticesIds: string[];
+  buildResults: boolean[];
+  stopBuild: () => void;
+}) {
+  try {
+    const buildRes = await postBuildVertex(flowId, id, input_value, files);
+
+    const buildData: VertexBuildTypeAPI = buildRes.data;
+    if (onBuildUpdate) {
+      if (!buildData.valid) {
+        // lots is a dictionary with the key the output field name and the value the log object
+        // logs: { [key: string]: { message: any; type: string }[] };
+        const errorMessages = Object.keys(buildData.data.outputs).map((key) => {
+          const outputs = buildData.data.outputs[key];
+          if (Array.isArray(outputs)) {
+            return outputs
+              .filter((log) => isErrorLogType(log.message))
+              .map((log) => log.message.errorMessage);
+          }
+          if (!isErrorLogType(outputs.message)) {
+            return [];
+          }
+          return [outputs.message.errorMessage];
+        });
+        onBuildError!(
+          "Error Building Component",
+          errorMessages,
+          verticesIds.map((id) => ({ id })),
+        );
+        stopBuild();
+        onBuildUpdate(buildData, BuildStatus.ERROR);
+      } else {
+        onBuildUpdate(buildData, BuildStatus.BUILT);
+      }
+    }
+    buildResults.push(buildData.valid);
+  } catch (error) {
+    console.error(error);
+    onBuildError!(
+      "Error Building Component",
+      [
+        (error as AxiosError<any>).response?.data?.detail ??
+          "An unexpected error occurred while building the Component. Please try again.",
+      ],
+      verticesIds.map((id) => ({ id })),
+    );
+    buildResults.push(false);
+    stopBuild();
+  }
+}
diff --git a/src/frontend/src/utils/parameterUtils.ts b/src/frontend/src/utils/parameterUtils.ts
new file mode 100644
index 00000000000..d1d53dde76f
--- /dev/null
+++ b/src/frontend/src/utils/parameterUtils.ts
@@ -0,0 +1,38 @@
+import { debounce } from "lodash";
+import { SAVE_DEBOUNCE_TIME } from "../constants/constants";
+import { postCustomComponentUpdate } from "../controllers/API";
+import { NodeDataType } from "../types/flow";
+
+export const handleUpdateValues = async (name: string, data: NodeDataType) => {
+  const code = data.node?.template?.code?.value;
+  if (!code) {
+    console.error("Code not found in the template");
+    return;
+  }
+
+  const template = data.node?.template;
+  if (!template) {
+    console.error("No template found in the node.");
+    return;
+  }
+
+  try {
+    const res = await postCustomComponentUpdate(
+      code,
+      template,
+      name,
+      data.node?.template[name]?.value,
+    );
+    if (res.status === 200 && data.node?.template) {
+      return res.data.template;
+    }
+  } catch (error) {
+    console.error("Error occurred while updating the node:", error);
+    throw error;
+  }
+};
+
+export const debouncedHandleUpdateValues = debounce(
+  handleUpdateValues,
+  SAVE_DEBOUNCE_TIME,
+);
diff --git a/src/frontend/src/utils/reactflowUtils.ts b/src/frontend/src/utils/reactflowUtils.ts
index 7d0e2a3acb4..9b62b2624f6 100644
--- a/src/frontend/src/utils/reactflowUtils.ts
+++ b/src/frontend/src/utils/reactflowUtils.ts
@@ -1,4 +1,4 @@
-import { cloneDeep } from "lodash";
+import { cloneDeep, get } from "lodash";
 import {
   Connection,
   Edge,
@@ -8,17 +8,24 @@ import {
   XYPosition,
 } from "reactflow";
 import ShortUniqueId from "short-unique-id";
+import getFieldTitle from "../CustomNodes/utils/get-field-title";
 import {
+  INPUT_TYPES,
+  IS_MAC,
   LANGFLOW_SUPPORTED_TYPES,
+  OUTPUT_TYPES,
+  SUCCESS_BUILD,
   specialCharsRegex,
 } from "../constants/constants";
 import { downloadFlowsFromDatabase } from "../controllers/API";
+import { DESCRIPTIONS } from "../flow_constants";
 import {
   APIClassType,
   APIKindType,
   APIObjectType,
   APITemplateType,
-  TemplateVariableType,
+  InputFieldType,
+  OutputFieldType,
 } from "../types/api";
 import {
   FlowType,
@@ -33,15 +40,15 @@ import {
   unselectAllNodesType,
   updateEdgesHandleIdsType,
 } from "../types/utils/reactflowUtils";
-import {
-  createRandomKey,
-  getFieldTitle,
-  getRandomDescription,
-  toTitleCase,
-} from "./utils";
-const uid = new ShortUniqueId({ length: 5 });
-
-export function cleanEdges(nodes: Node[], edges: Edge[]) {
+import { createRandomKey, toTitleCase } from "./utils";
+const uid = new ShortUniqueId();
+
+export function checkChatInput(nodes: Node[]) {
+  return nodes.some((node) => node.data.type === "ChatInput");
+}
+
+export function cleanEdges(nodes: NodeType[], edges: Edge[]) {
+  console.log("cleanEdges", nodes, edges);
   let newEdges = cloneDeep(edges);
   edges.forEach((edge) => {
     // check if the source and target node still exists
@@ -71,12 +78,27 @@ export function cleanEdges(nodes: Node[], edges: Edge[]) {
       }
     }
     if (sourceHandle) {
-      const id: sourceHandleType = {
-        id: sourceNode.data.id,
-        baseClasses: sourceNode.data.node!.base_classes,
-        dataType: sourceNode.data.type,
-      };
-      if (scapedJSONStringfy(id) !== sourceHandle) {
+      const parsedSourceHandle = scapeJSONParse(sourceHandle);
+      const name = parsedSourceHandle.name;
+      const output = sourceNode.data.node!.outputs?.find(
+        (output) => output.name === name,
+      );
+      if (output) {
+        const outputTypes =
+          output!.types.length === 1 ? output!.types : [output!.selected!];
+
+        const id: sourceHandleType = {
+          id: sourceNode.data.id,
+          name: name,
+          output_types: outputTypes,
+          dataType: sourceNode.data.type,
+        };
+        console.log("id", id);
+        console.log("parsedSourceHandle", parsedSourceHandle);
+        if (scapedJSONStringfy(id) !== sourceHandle) {
+          newEdges = newEdges.filter((e) => e.id !== edge.id);
+        }
+      } else {
         newEdges = newEdges.filter((e) => e.id !== edge.id);
       }
     }
@@ -95,18 +117,18 @@ export function unselectAllNodes({ updateNodes, data }: unselectAllNodesType) {
 export function isValidConnection(
   { source, target, sourceHandle, targetHandle }: Connection,
   nodes: Node[],
-  edges: Edge[]
+  edges: Edge[],
 ) {
   const targetHandleObject: targetHandleType = scapeJSONParse(targetHandle!);
   const sourceHandleObject: sourceHandleType = scapeJSONParse(sourceHandle!);
   if (
     targetHandleObject.inputTypes?.some(
-      (n) => n === sourceHandleObject.dataType
+      (n) => n === sourceHandleObject.dataType,
     ) ||
-    sourceHandleObject.baseClasses.some(
+    sourceHandleObject.output_types.some(
       (t) =>
         targetHandleObject.inputTypes?.some((n) => n === t) ||
-        t === targetHandleObject.type
+        t === targetHandleObject.type,
     )
   ) {
     let targetNode = nodes.find((node) => node.id === target!)?.data?.node;
@@ -139,7 +161,7 @@ export function removeApiKeys(flow: FlowType): FlowType {
 
 export function updateTemplate(
   reference: APITemplateType,
-  objectToUpdate: APITemplateType
+  objectToUpdate: APITemplateType,
 ): APITemplateType {
   let clonedObject: APITemplateType = cloneDeep(reference);
 
@@ -171,11 +193,14 @@ export const processFlows = (DbData: FlowType[], skipUpdate = true) => {
         (flow.data.nodes[0].data as NodeDataType).node!.display_name =
           flow.name;
         savedComponents[
-          createRandomKey((flow.data.nodes[0].data as NodeDataType).type, uid())
+          createRandomKey(
+            (flow.data.nodes[0].data as NodeDataType).type,
+            uid.randomUUID(5),
+          )
         ] = cloneDeep((flow.data.nodes[0].data as NodeDataType).node!);
         return;
       }
-      if (!skipUpdate) processDataFromFlow(flow, false);
+      processDataFromFlow(flow, !skipUpdate);
     } catch (e) {
       console.log(e);
     }
@@ -187,8 +212,8 @@ export const processDataFromFlow = (flow: FlowType, refreshIds = true) => {
   let data = flow?.data ? flow.data : null;
   if (data) {
     processFlowEdges(flow);
-    //prevent node update for now
-    // processFlowNodes(flow);
+    //add dropdown option to nodeOutputs
+    processFlowNodes(flow);
     //add animation to text type edges
     updateEdges(data.edges);
     // updateNodes(data.nodes, data.edges);
@@ -197,27 +222,37 @@ export const processDataFromFlow = (flow: FlowType, refreshIds = true) => {
   return data;
 };
 
-export function updateIds(newFlow: ReactFlowJsonObject) {
+export function updateIds(
+  { edges, nodes }: { edges: Edge[]; nodes: Node[] },
+  selection?: { edges: Edge[]; nodes: Node[] },
+) {
   let idsMap = {};
-
-  if (newFlow.nodes)
-    newFlow.nodes.forEach((node: NodeType) => {
+  const selectionIds = selection?.nodes.map((n) => n.id);
+  if (nodes) {
+    nodes.forEach((node: NodeType) => {
       // Generate a unique node ID
-      let newId = getNodeId(
-        node.data.node?.flow ? "GroupNode" : node.data.type
-      );
+      let newId = getNodeId(node.data.type);
+      if (selection && !selectionIds?.includes(node.id)) {
+        newId = node.id;
+      }
       idsMap[node.id] = newId;
       node.id = newId;
       node.data.id = newId;
       // Add the new node to the list of nodes in state
     });
-
-  if (newFlow.edges)
-    newFlow.edges.forEach((edge: Edge) => {
+    selection?.nodes.forEach((sNode: NodeType) => {
+      let newId = idsMap[sNode.id];
+      sNode.id = newId;
+      sNode.data.id = newId;
+    });
+  }
+  const concatedEdges = [...edges, ...(selection?.edges ?? [])];
+  if (concatedEdges)
+    concatedEdges.forEach((edge: Edge) => {
       edge.source = idsMap[edge.source];
       edge.target = idsMap[edge.target];
       const sourceHandleObject: sourceHandleType = scapeJSONParse(
-        edge.sourceHandle!
+        edge.sourceHandle!,
       );
       edge.sourceHandle = scapedJSONStringfy({
         ...sourceHandleObject,
@@ -227,7 +262,7 @@ export function updateIds(newFlow: ReactFlowJsonObject) {
         edge.data.sourceHandle.id = edge.source;
       }
       const targetHandleObject: targetHandleType = scapeJSONParse(
-        edge.targetHandle!
+        edge.targetHandle!,
       );
       edge.targetHandle = scapedJSONStringfy({
         ...targetHandleObject,
@@ -247,17 +282,10 @@ export function updateIds(newFlow: ReactFlowJsonObject) {
   return idsMap;
 }
 
-export function buildTweaks(flow: FlowType) {
-  return flow.data!.nodes.reduce((acc, node) => {
-    acc[node.data.id] = {};
-    return acc;
-  }, {});
-}
-
 export function validateNode(node: NodeType, edges: Edge[]): Array<string> {
   if (!node.data?.node?.template || !Object.keys(node.data.node.template)) {
     return [
-      "We've noticed a potential issue with a node in the flow. Please review it and, if necessary, submit a bug report with your exported flow file. Thank you for your help!",
+      "We've noticed a potential issue with a Component in the flow. Please review it and, if necessary, submit a bug report with your exported flow file. Thank you for your help!",
     ];
   }
 
@@ -266,6 +294,8 @@ export function validateNode(node: NodeType, edges: Edge[]): Array<string> {
     node: { template },
   } = node.data;
 
+  const displayName = node.data.node.display_name;
+
   return Object.keys(template).reduce((errors: Array<string>, t) => {
     if (
       template[t].required &&
@@ -278,10 +308,12 @@ export function validateNode(node: NodeType, edges: Edge[]): Array<string> {
           (scapeJSONParse(edge.targetHandle!) as targetHandleType).fieldName ===
             t &&
           (scapeJSONParse(edge.targetHandle!) as targetHandleType).id ===
-            node.id
+            node.id,
       )
     ) {
-      errors.push(`${type} is missing ${getFieldTitle(template, t)}.`);
+      errors.push(
+        `${displayName || type} is missing ${getFieldTitle(template, t)}.`,
+      );
     } else if (
       template[t].type === "dict" &&
       template[t].required &&
@@ -292,40 +324,49 @@ export function validateNode(node: NodeType, edges: Edge[]): Array<string> {
     ) {
       if (hasDuplicateKeys(template[t].value))
         errors.push(
-          `${type} (${getFieldTitle(
+          `${displayName || type} (${getFieldTitle(
             template,
-            t
-          )}) contains duplicate keys with the same values.`
+            t,
+          )}) contains duplicate keys with the same values.`,
         );
       if (hasEmptyKey(template[t].value))
         errors.push(
-          `${type} (${getFieldTitle(template, t)}) field must not be empty.`
+          `${displayName || type} (${getFieldTitle(
+            template,
+            t,
+          )}) field must not be empty.`,
         );
     }
     return errors;
   }, [] as string[]);
 }
 
-export function validateNodes(nodes: Node[], edges: Edge[]) {
+export function validateNodes(
+  nodes: Node[],
+  edges: Edge[],
+): // this returns an array of tuples with the node id and the errors
+Array<{ id: string; errors: Array<string> }> {
   if (nodes.length === 0) {
     return [
-      "No nodes found in the flow. Please add at least one node to the flow.",
+      {
+        id: "",
+        errors: [
+          "No nodes found in the flow. Please add at least one node to the flow.",
+        ],
+      },
     ];
   }
-  return nodes.flatMap((n: NodeType) => validateNode(n, edges));
+  // validateNode(n, edges) returns an array of errors for the node
+  return nodes.map((n) => ({ id: n.id, errors: validateNode(n, edges) }));
 }
 
 export function updateEdges(edges: Edge[]) {
   if (edges)
     edges.forEach((edge) => {
       const targetHandleObject: targetHandleType = scapeJSONParse(
-        edge.targetHandle!
+        edge.targetHandle!,
       );
-      edge.className =
-        (targetHandleObject.type === "Text"
-          ? "stroke-gray-800 "
-          : "stroke-gray-900 ") + " stroke-connection";
-      edge.animated = targetHandleObject.type === "Text";
+      edge.className = "";
     });
 }
 
@@ -346,6 +387,7 @@ export function updateEdgesHandleIds({
   edges,
   nodes,
 }: updateEdgesHandleIdsType): Edge[] {
+  console.log("updateEdgesHandleIds");
   let newEdges = cloneDeep(edges);
   newEdges.forEach((edge) => {
     const sourceNodeId = edge.source;
@@ -368,10 +410,14 @@ export function updateEdgesHandleIds({
       };
     }
     if (source && sourceNode) {
+      const output_types =
+        sourceNode.data.node!.output_types ??
+        sourceNode.data.node!.base_classes!;
       newSource = {
         id: sourceNode.data.id,
-        baseClasses: sourceNode.data.node!.base_classes,
+        output_types,
         dataType: sourceNode.data.type,
+        name: output_types.join(" | "),
       };
     }
     edge.sourceHandle = scapedJSONStringfy(newSource!);
@@ -385,12 +431,81 @@ export function updateEdgesHandleIds({
   return newEdges;
 }
 
+export function updateNewOutput({ nodes, edges }: updateEdgesHandleIdsType) {
+  let newEdges = cloneDeep(edges);
+  let newNodes = cloneDeep(nodes);
+  newEdges.forEach((edge) => {
+    if (edge.sourceHandle && edge.targetHandle) {
+      let newSourceHandle: sourceHandleType = scapeJSONParse(edge.sourceHandle);
+      let newTargetHandle: targetHandleType = scapeJSONParse(edge.targetHandle);
+      const id = newSourceHandle.id;
+      const sourceNodeIndex = newNodes.findIndex((node) => node.id === id);
+      let sourceNode: NodeType | undefined = undefined;
+      if (sourceNodeIndex !== -1) {
+        sourceNode = newNodes[sourceNodeIndex];
+      }
+
+      let intersection;
+      //@ts-ignore
+      if (newSourceHandle.baseClasses) {
+        if (!newSourceHandle.output_types) {
+          if (sourceNode?.data.node!.output_types) {
+            newSourceHandle.output_types = sourceNode?.data.node!.output_types;
+          } else {
+            //@ts-ignore
+            newSourceHandle.output_types = newSourceHandle.baseClasses;
+          }
+        }
+        //@ts-ignore
+        delete newSourceHandle.baseClasses;
+      }
+      if (newTargetHandle.inputTypes && newTargetHandle.inputTypes.length > 0) {
+        //conjuction subtraction
+        intersection = newSourceHandle.output_types.filter((type) =>
+          newTargetHandle.inputTypes!.includes(type),
+        );
+      } else {
+        intersection = newSourceHandle.output_types.filter(
+          (type) => type === newTargetHandle.type,
+        );
+      }
+      const selected = intersection[0];
+      newSourceHandle.name = newSourceHandle.output_types.join(" | ");
+      newSourceHandle.output_types = [selected];
+      if (sourceNode) {
+        if (!sourceNode.data.node?.outputs) {
+          sourceNode.data.node!.outputs = [];
+        }
+        const types =
+          sourceNode.data.node!.output_types ??
+          sourceNode.data.node!.base_classes!;
+        if (
+          !sourceNode.data.node!.outputs.some(
+            (output) => output.selected === selected,
+          )
+        ) {
+          sourceNode.data.node!.outputs.push({
+            types,
+            selected: selected,
+            name: types.join(" | "),
+            display_name: types.join(" | "),
+          });
+        }
+      }
+
+      edge.sourceHandle = scapedJSONStringfy(newSourceHandle);
+      edge.data.sourceHandle = newSourceHandle;
+    }
+  });
+  return { nodes: newNodes, edges: newEdges };
+}
+
 export function handleKeyDown(
   e:
     | React.KeyboardEvent<HTMLInputElement>
     | React.KeyboardEvent<HTMLTextAreaElement>,
   inputValue: string | string[] | null,
-  block: string
+  block: string,
 ) {
   //condition to fix bug control+backspace on Windows/Linux
   if (
@@ -400,9 +515,7 @@ export function handleKeyDown(
       (inputValue === block ||
         inputValue?.charAt(inputValue?.length - 1) === " " ||
         specialCharsRegex.test(inputValue?.charAt(inputValue?.length - 1)))) ||
-    (navigator.userAgent.toUpperCase().includes("MAC") &&
-      e.ctrlKey === true &&
-      e.key === "Backspace")
+    (IS_MAC && e.ctrlKey === true && e.key === "Backspace")
   ) {
     e.preventDefault();
     e.stopPropagation();
@@ -415,7 +528,7 @@ export function handleKeyDown(
 }
 
 export function handleOnlyIntegerInput(
-  event: React.KeyboardEvent<HTMLInputElement>
+  event: React.KeyboardEvent<HTMLInputElement>,
 ) {
   if (
     event.key === "." ||
@@ -431,14 +544,15 @@ export function handleOnlyIntegerInput(
 
 export function getConnectedNodes(
   edge: Edge,
-  nodes: Array<NodeType>
+  nodes: Array<NodeType>,
 ): Array<NodeType> {
   const sourceId = edge.source;
   const targetId = edge.target;
   return nodes.filter((node) => node.id === targetId || node.id === sourceId);
 }
 
-export function convertObjToArray(singleObject: object | string) {
+export function convertObjToArray(singleObject: object | string, type: string) {
+  if (type !== "dict") return [{ "": "" }];
   if (typeof singleObject === "string") {
     singleObject = JSON.parse(singleObject);
   }
@@ -531,10 +645,14 @@ export function checkOldEdgesHandles(edges: Edge[]): boolean {
       !edge.sourceHandle ||
       !edge.targetHandle ||
       !edge.sourceHandle.includes("{") ||
-      !edge.targetHandle.includes("{")
+      !edge.targetHandle.includes("{"),
   );
 }
 
+export function checkOldNodesOutput(nodes: NodeType[]): boolean {
+  return nodes.some((node) => !node.data.node?.outputs);
+}
+
 export function customStringify(obj: any): string {
   if (typeof obj === "undefined") {
     return "null";
@@ -554,7 +672,7 @@ export function customStringify(obj: any): string {
 
   const keys = Object.keys(obj).sort();
   const keyValuePairs = keys.map(
-    (key) => `"${key}":${customStringify(obj[key])}`
+    (key) => `"${key}":${customStringify(obj[key])}`,
   );
   return `{${keyValuePairs.join(",")}}`;
 }
@@ -576,14 +694,14 @@ export function getMiddlePoint(nodes: Node[]) {
 }
 
 export function getNodeId(nodeType: string) {
-  return nodeType + "-" + uid();
+  return nodeType + "-" + uid.randomUUID(5);
 }
 
 export function getHandleId(
   source: string,
   sourceHandle: string,
   target: string,
-  targetHandle: string
+  targetHandle: string,
 ) {
   return (
     "reactflow__edge-" + source + sourceHandle + "-" + target + targetHandle
@@ -594,16 +712,15 @@ export function generateFlow(
   selection: OnSelectionChangeParams,
   nodes: Node[],
   edges: Edge[],
-  name: string
+  name: string,
 ): generateFlowType {
   const newFlowData = { nodes, edges, viewport: { zoom: 1, x: 0, y: 0 } };
-  const uid = new ShortUniqueId({ length: 5 });
   /*	remove edges that are not connected to selected nodes on both ends
    */
-  newFlowData.edges = selection.edges.filter(
+  newFlowData.edges = edges.filter(
     (edge) =>
       selection.nodes.some((node) => node.id === edge.target) &&
-      selection.nodes.some((node) => node.id === edge.source)
+      selection.nodes.some((node) => node.id === edge.source),
   );
   newFlowData.nodes = selection.nodes;
 
@@ -613,7 +730,7 @@ export function generateFlow(
     name: name,
     description: "",
     //generating local id instead of using the id from the server, can change in the future
-    id: uid(),
+    id: uid.randomUUID(5),
   };
   // filter edges that are not connected to selected nodes on both ends
   // using O(n²) aproach because the number of edges is small
@@ -624,21 +741,24 @@ export function generateFlow(
       (edge) =>
         (selection.nodes.some((node) => node.id === edge.target) ||
           selection.nodes.some((node) => node.id === edge.source)) &&
-        newFlowData.edges.every((e) => e.id !== edge.id)
+        newFlowData.edges.every((e) => e.id !== edge.id),
     ),
   };
 }
 
 export function reconnectEdges(groupNode: NodeType, excludedEdges: Edge[]) {
-  let newEdges = cloneDeep(excludedEdges);
   if (!groupNode.data.node!.flow) return [];
+  let newEdges = cloneDeep(excludedEdges);
   const { nodes, edges } = groupNode.data.node!.flow!.data!;
   const lastNode = findLastNode(groupNode.data.node!.flow!.data!);
+  newEdges = newEdges.filter(
+    (e) => !(nodes.some((n) => n.id === e.source) && e.source !== lastNode?.id),
+  );
   newEdges.forEach((edge) => {
     if (lastNode && edge.source === lastNode.id) {
       edge.source = groupNode.id;
       let newSourceHandle: sourceHandleType = scapeJSONParse(
-        edge.sourceHandle!
+        edge.sourceHandle!,
       );
       newSourceHandle.id = groupNode.id;
       edge.sourceHandle = scapedJSONStringfy(newSourceHandle);
@@ -665,7 +785,7 @@ export function reconnectEdges(groupNode: NodeType, excludedEdges: Edge[]) {
 export function filterFlow(
   selection: OnSelectionChangeParams,
   setNodes: (update: Node[] | ((oldState: Node[]) => Node[])) => void,
-  setEdges: (update: Edge[] | ((oldState: Edge[]) => Edge[])) => void
+  setEdges: (update: Edge[] | ((oldState: Edge[]) => Edge[])) => void,
 ) {
   setNodes((nodes) => nodes.filter((node) => !selection.nodes.includes(node)));
   setEdges((edges) => edges.filter((edge) => !selection.edges.includes(edge)));
@@ -703,7 +823,7 @@ export function updateFlowPosition(NewPosition: XYPosition, flow: FlowType) {
 export function concatFlows(
   flow: FlowType,
   setNodes: (update: Node[] | ((oldState: Node[]) => Node[])) => void,
-  setEdges: (update: Edge[] | ((oldState: Edge[]) => Edge[])) => void
+  setEdges: (update: Edge[] | ((oldState: Edge[]) => Edge[])) => void,
 ) {
   const { nodes, edges } = flow.data!;
   setNodes((old) => [...old, ...nodes]);
@@ -712,32 +832,45 @@ export function concatFlows(
 
 export function validateSelection(
   selection: OnSelectionChangeParams,
-  edges: Edge[]
+  edges: Edge[],
 ): Array<string> {
+  const clonedSelection = cloneDeep(selection);
+  const clonedEdges = cloneDeep(edges);
   //add edges to selection if selection mode selected only nodes
-  if (selection.edges.length === 0) {
-    selection.edges = edges;
+  if (clonedSelection.edges.length === 0) {
+    clonedSelection.edges = clonedEdges;
   }
+
   // get only edges that are connected to the nodes in the selection
   // first creates a set of all the nodes ids
-  let nodesSet = new Set(selection.nodes.map((n) => n.id));
+  let nodesSet = new Set(clonedSelection.nodes.map((n) => n.id));
   // then filter the edges that are connected to the nodes in the set
-  let connectedEdges = selection.edges.filter(
-    (e) => nodesSet.has(e.source) && nodesSet.has(e.target)
+  let connectedEdges = clonedSelection.edges.filter(
+    (e) => nodesSet.has(e.source) && nodesSet.has(e.target),
   );
   // add the edges to the selection
-  selection.edges = connectedEdges;
+  clonedSelection.edges = connectedEdges;
 
   let errorsArray: Array<string> = [];
   // check if there is more than one node
-  if (selection.nodes.length < 2) {
+  if (clonedSelection.nodes.length < 2) {
     errorsArray.push("Please select more than one node");
   }
-
+  if (
+    clonedSelection.nodes.some(
+      (node) =>
+        isInputNode(node.data as NodeDataType) ||
+        isOutputNode(node.data as NodeDataType),
+    )
+  ) {
+    errorsArray.push(
+      "Please select only nodes that are not input or output nodes",
+    );
+  }
   //check if there are two or more nodes with free outputs
   if (
-    selection.nodes.filter(
-      (n) => !selection.edges.some((e) => e.source === n.id)
+    clonedSelection.nodes.filter(
+      (n) => !clonedSelection.edges.some((e) => e.source === n.id),
     ).length > 1
   ) {
     errorsArray.push("Please select only one node with free outputs");
@@ -745,10 +878,10 @@ export function validateSelection(
 
   // check if there is any node that does not have any connection
   if (
-    selection.nodes.some(
+    clonedSelection.nodes.some(
       (node) =>
-        !selection.edges.some((edge) => edge.target === node.id) &&
-        !selection.edges.some((edge) => edge.source === node.id)
+        !clonedSelection.edges.some((edge) => edge.target === node.id) &&
+        !clonedSelection.edges.some((edge) => edge.source === node.id),
     )
   ) {
     errorsArray.push("Please select only nodes that are connected");
@@ -769,7 +902,7 @@ function updateGroupNodeTemplate(template: APITemplateType) {
       template[key].advanced = true;
     }
     //prevent code fields from showing on the group node
-    if (type === "code") {
+    if (type === "code" && key === "code") {
       template[key].show = false;
     }
   });
@@ -793,7 +926,7 @@ export function mergeNodeTemplates({
     Object.keys(nodeTemplate)
       .filter((field_name) => field_name.charAt(0) !== "_")
       .forEach((key) => {
-        if (!isHandleConnected(edges, key, nodeTemplate[key], node.id)) {
+        if (!isTargetHandleConnected(edges, key, nodeTemplate[key], node.id)) {
           template[key + "_" + node.id] = nodeTemplate[key];
           template[key + "_" + node.id].proxy = { id: node.id, field: key };
           if (node.type === "groupNode") {
@@ -805,19 +938,19 @@ export function mergeNodeTemplates({
               nodeTemplate[key].display_name
                 ? nodeTemplate[key].display_name
                 : nodeTemplate[key].name
-                ? toTitleCase(nodeTemplate[key].name)
-                : toTitleCase(key);
+                  ? toTitleCase(nodeTemplate[key].name)
+                  : toTitleCase(key);
           }
         }
       });
   });
   return template;
 }
-function isHandleConnected(
+function isTargetHandleConnected(
   edges: Edge[],
   key: string,
-  field: TemplateVariableType,
-  nodeId: string
+  field: InputFieldType,
+  nodeId: string,
 ) {
   /*
 		this function receives a flow and a handleId and check if there is a connection with this handle
@@ -833,7 +966,7 @@ function isHandleConnected(
             id: nodeId,
             proxy: { id: field.proxy!.id, field: field.proxy!.field },
             inputTypes: field.input_types,
-          } as targetHandleType)
+          } as targetHandleType),
       )
     ) {
       return true;
@@ -848,7 +981,7 @@ function isHandleConnected(
             fieldName: key,
             id: nodeId,
             inputTypes: field.input_types,
-          } as targetHandleType)
+          } as targetHandleType),
       )
     ) {
       return true;
@@ -871,25 +1004,24 @@ export function generateNodeTemplate(Flow: FlowType) {
 
 export function generateNodeFromFlow(
   flow: FlowType,
-  getNodeId: (type: string) => string
+  getNodeId: (type: string) => string,
 ): NodeType {
   const { nodes } = flow.data!;
   const outputNode = cloneDeep(findLastNode(flow.data!));
   const position = getMiddlePoint(nodes);
   let data = cloneDeep(flow);
-  const id = getNodeId(outputNode?.data.type!);
+  const id = getNodeId("groupComponent");
   const newGroupNode: NodeType = {
     data: {
       id,
-      type: outputNode?.data.type!,
+      type: "GroupNode",
       node: {
-        output_types: outputNode!.data.node!.output_types,
         display_name: "Group",
         documentation: "",
-        base_classes: outputNode!.data.node!.base_classes,
         description: "",
         template: generateNodeTemplate(data),
         flow: data,
+        outputs: generateNodeOutputs(data),
       },
     },
     id,
@@ -899,10 +1031,47 @@ export function generateNodeFromFlow(
   return newGroupNode;
 }
 
+function generateNodeOutputs(flow: FlowType) {
+  const { nodes, edges } = flow.data!;
+  const outputs: Array<OutputFieldType> = [];
+  nodes.forEach((node: NodeType) => {
+    if (node.data.node?.outputs) {
+      const nodeOutputs = node.data.node.outputs;
+      nodeOutputs.forEach((output) => {
+        //filter outputs that are not connected
+        console.log(output);
+        console.log(edges);
+        if (
+          !edges.some(
+            (edge) =>
+              edge.source === node.id &&
+              (edge.data.sourceHandle as sourceHandleType).name === output.name,
+          )
+        ) {
+          outputs.push(
+            cloneDeep({
+              ...output,
+              proxy: {
+                id: node.id,
+                name: output.name,
+                nodeDisplayName:
+                  node.data.node!.display_name ?? node.data.node!.name,
+              },
+              name: node.id + "_" + output.name,
+              display_name: output.display_name,
+            }),
+          );
+        }
+      });
+    }
+  });
+  return outputs;
+}
+
 export function connectedInputNodesOnHandle(
   nodeId: string,
   handleId: string,
-  { nodes, edges }: { nodes: NodeType[]; edges: Edge[] }
+  { nodes, edges }: { nodes: NodeType[]; edges: Edge[] },
 ) {
   const connectedNodes: Array<{ name: string; id: string; isGroup: boolean }> =
     [];
@@ -937,9 +1106,9 @@ export function connectedInputNodesOnHandle(
   return connectedNodes;
 }
 
-function updateProxyIdsOnTemplate(
+export function updateProxyIdsOnTemplate(
   template: APITemplateType,
-  idsMap: { [key: string]: string }
+  idsMap: { [key: string]: string },
 ) {
   Object.keys(template).forEach((key) => {
     if (template[key].proxy && idsMap[template[key].proxy!.id]) {
@@ -948,7 +1117,10 @@ function updateProxyIdsOnTemplate(
   });
 }
 
-function updateEdgesIds(edges: Edge[], idsMap: { [key: string]: string }) {
+export function updateEdgesIds(
+  edges: Edge[],
+  idsMap: { [key: string]: string },
+) {
   edges.forEach((edge) => {
     let targetHandle: targetHandleType = edge.data.targetHandle;
     if (targetHandle.proxy && idsMap[targetHandle.proxy!.id]) {
@@ -965,11 +1137,15 @@ export function processFlowEdges(flow: FlowType) {
     const newEdges = updateEdgesHandleIds(flow.data);
     flow.data.edges = newEdges;
   }
-  //update edges colors
-  flow.data.edges.forEach((edge) => {
-    edge.className = "";
-    edge.style = { stroke: "#555" };
-  });
+}
+
+export function processFlowNodes(flow: FlowType) {
+  if (!flow.data || !flow.data.nodes) return;
+  if (checkOldNodesOutput(flow.data.nodes)) {
+    const { nodes, edges } = updateNewOutput(flow.data);
+    flow.data.nodes = nodes;
+    flow.data.edges = edges;
+  }
 }
 
 export function expandGroupNode(
@@ -979,7 +1155,8 @@ export function expandGroupNode(
   nodes: Node[],
   edges: Edge[],
   setNodes: (update: Node[] | ((oldState: Node[]) => Node[])) => void,
-  setEdges: (update: Edge[] | ((oldState: Edge[]) => Edge[])) => void
+  setEdges: (update: Edge[] | ((oldState: Edge[]) => Edge[])) => void,
+  outputs?: OutputFieldType[],
 ) {
   const idsMap = updateIds(flow!.data!);
   updateProxyIdsOnTemplate(template, idsMap);
@@ -987,88 +1164,103 @@ export function expandGroupNode(
   updateEdgesIds(flowEdges, idsMap);
   const gNodes: NodeType[] = cloneDeep(flow?.data?.nodes!);
   const gEdges = cloneDeep(flow!.data!.edges);
-  //redirect edges to correct proxy node
-  let updatedEdges: Edge[] = [];
-  flowEdges.forEach((edge) => {
-    let newEdge = cloneDeep(edge);
-    if (newEdge.target === id) {
-      const targetHandle: targetHandleType = newEdge.data.targetHandle;
-      if (targetHandle.proxy) {
-        let type = targetHandle.type;
-        let field = targetHandle.proxy.field;
-        let proxyId = targetHandle.proxy.id;
-        let inputTypes = targetHandle.inputTypes;
-        let node: NodeType = gNodes.find((n) => n.id === proxyId)!;
-        if (node) {
-          newEdge.target = proxyId;
-          let newTargetHandle: targetHandleType = {
-            fieldName: field,
-            type,
-            id: proxyId,
-            inputTypes: inputTypes,
-          };
-          if (node.data.node?.flow) {
-            newTargetHandle.proxy = {
-              field: node.data.node.template[field].proxy?.field!,
-              id: node.data.node.template[field].proxy?.id!,
-            };
-          }
-          newEdge.data.targetHandle = newTargetHandle;
-          newEdge.targetHandle = scapedJSONStringfy(newTargetHandle);
+  // //redirect edges to correct proxy node
+  // let updatedEdges: Edge[] = [];
+  // flowEdges.forEach((edge) => {
+  //   let newEdge = cloneDeep(edge);
+  //   if (newEdge.target === id) {
+  //     const targetHandle: targetHandleType = newEdge.data.targetHandle;
+  //     if (targetHandle.proxy) {
+  //       let type = targetHandle.type;
+  //       let field = targetHandle.proxy.field;
+  //       let proxyId = targetHandle.proxy.id;
+  //       let inputTypes = targetHandle.inputTypes;
+  //       let node: NodeType = gNodes.find((n) => n.id === proxyId)!;
+  //       if (node) {
+  //         newEdge.target = proxyId;
+  //         let newTargetHandle: targetHandleType = {
+  //           fieldName: field,
+  //           type,
+  //           id: proxyId,
+  //           inputTypes: inputTypes,
+  //         };
+  //         if (node.data.node?.flow) {
+  //           newTargetHandle.proxy = {
+  //             field: node.data.node.template[field].proxy?.field!,
+  //             id: node.data.node.template[field].proxy?.id!,
+  //           };
+  //         }
+  //         newEdge.data.targetHandle = newTargetHandle;
+  //         newEdge.targetHandle = scapedJSONStringfy(newTargetHandle);
+  //       }
+  //     }
+  //   }
+  //   if (newEdge.source === id) {
+  //     const lastNode = cloneDeep(findLastNode(flow!.data!));
+  //     newEdge.source = lastNode!.id;
+  //     let newSourceHandle: sourceHandleType = scapeJSONParse(
+  //       newEdge.sourceHandle!,
+  //     );
+  //     newSourceHandle.id = lastNode!.id;
+  //     newEdge.data.sourceHandle = newSourceHandle;
+  //     newEdge.sourceHandle = scapedJSONStringfy(newSourceHandle);
+  //   }
+  //   if (edge.target === id || edge.source === id) {
+  //     updatedEdges.push(newEdge);
+  //   }
+  // });
+  //update template values
+  Object.keys(template).forEach((key) => {
+    if (template[key].proxy) {
+      let { field, id } = template[key].proxy!;
+      let nodeIndex = gNodes.findIndex((n) => n.id === id);
+      if (nodeIndex !== -1) {
+        let proxy: { id: string; field: string } | undefined;
+        let display_name: string | undefined;
+        let show = gNodes[nodeIndex].data.node!.template[field].show;
+        let advanced = gNodes[nodeIndex].data.node!.template[field].advanced;
+        if (gNodes[nodeIndex].data.node!.template[field].display_name) {
+          display_name =
+            gNodes[nodeIndex].data.node!.template[field].display_name;
+        } else {
+          display_name = gNodes[nodeIndex].data.node!.template[field].name;
+        }
+        if (gNodes[nodeIndex].data.node!.template[field].proxy) {
+          proxy = gNodes[nodeIndex].data.node!.template[field].proxy;
+        }
+        gNodes[nodeIndex].data.node!.template[field] = template[key];
+        gNodes[nodeIndex].data.node!.template[field].show = show;
+        gNodes[nodeIndex].data.node!.template[field].advanced = advanced;
+        gNodes[nodeIndex].data.node!.template[field].display_name =
+          display_name;
+        // keep the nodes selected after ungrouping
+        // gNodes[nodeIndex].selected = false;
+        if (proxy) {
+          gNodes[nodeIndex].data.node!.template[field].proxy = proxy;
+        } else {
+          delete gNodes[nodeIndex].data.node!.template[field].proxy;
         }
       }
     }
-    if (newEdge.source === id) {
-      const lastNode = cloneDeep(findLastNode(flow!.data!));
-      newEdge.source = lastNode!.id;
-      let newSourceHandle: sourceHandleType = scapeJSONParse(
-        newEdge.sourceHandle!
-      );
-      newSourceHandle.id = lastNode!.id;
-      newEdge.data.sourceHandle = newSourceHandle;
-      newEdge.sourceHandle = scapedJSONStringfy(newSourceHandle);
-    }
-    if (edge.target === id || edge.source === id) {
-      updatedEdges.push(newEdge);
-    }
   });
-  //update template values
-  Object.keys(template).forEach((key) => {
-    let { field, id } = template[key].proxy!;
-    let nodeIndex = gNodes.findIndex((n) => n.id === id);
+  outputs?.forEach((output) => {
+    let nodeIndex = gNodes.findIndex((n) => n.id === output.proxy!.id);
     if (nodeIndex !== -1) {
-      let proxy: { id: string; field: string } | undefined;
-      let display_name: string | undefined;
-      let show = gNodes[nodeIndex].data.node!.template[field].show;
-      let advanced = gNodes[nodeIndex].data.node!.template[field].advanced;
-      if (gNodes[nodeIndex].data.node!.template[field].display_name) {
-        display_name =
-          gNodes[nodeIndex].data.node!.template[field].display_name;
-      } else {
-        display_name = gNodes[nodeIndex].data.node!.template[field].name;
-      }
-      if (gNodes[nodeIndex].data.node!.template[field].proxy) {
-        proxy = gNodes[nodeIndex].data.node!.template[field].proxy;
-      }
-      gNodes[nodeIndex].data.node!.template[field] = template[key];
-      gNodes[nodeIndex].data.node!.template[field].show = show;
-      gNodes[nodeIndex].data.node!.template[field].advanced = advanced;
-      gNodes[nodeIndex].data.node!.template[field].display_name = display_name;
-      // keep the nodes selected after ungrouping
-      // gNodes[nodeIndex].selected = false;
-      if (proxy) {
-        gNodes[nodeIndex].data.node!.template[field].proxy = proxy;
-      } else {
-        delete gNodes[nodeIndex].data.node!.template[field].proxy;
+      if (gNodes[nodeIndex].data.node?.outputs) {
+        const nodeOutputIndex = gNodes[nodeIndex].data.node!.outputs!.findIndex(
+          (o) => o.name === output.proxy?.name,
+        );
+        if (nodeOutputIndex !== -1 && output.selected) {
+          gNodes[nodeIndex].data.node!.outputs![nodeOutputIndex].selected =
+            output.selected;
+        }
       }
     }
   });
-
   const filteredNodes = [...nodes.filter((n) => n.id !== id), ...gNodes];
   const filteredEdges = [
     ...edges.filter((e) => e.target !== id && e.source !== id),
     ...gEdges,
-    ...updatedEdges,
   ];
   setNodes(filteredNodes);
   setEdges(filteredEdges);
@@ -1076,9 +1268,9 @@ export function expandGroupNode(
 
 export function getGroupStatus(
   flow: FlowType,
-  ssData: { [key: string]: { valid: boolean; params: string } }
+  ssData: { [key: string]: { valid: boolean; params: string } },
 ) {
-  let status = { valid: true, params: "Built sucessfully ✨" };
+  let status = { valid: true, params: SUCCESS_BUILD };
   const { nodes } = flow.data!;
   const ids = nodes.map((n: NodeType) => n.data.id);
   ids.forEach((id) => {
@@ -1095,7 +1287,7 @@ export function getGroupStatus(
 
 export function createFlowComponent(
   nodeData: NodeDataType,
-  version: string
+  version: string,
 ): FlowType {
   const flowNode: FlowType = {
     data: {
@@ -1125,13 +1317,13 @@ export function downloadNode(NodeFLow: FlowType) {
     type: "application/json",
   });
   element.href = URL.createObjectURL(file);
-  element.download = `${NodeFLow.name}.json`;
+  element.download = `${NodeFLow?.name ?? "node"}.json`;
   element.click();
 }
 
 export function updateComponentNameAndType(
   data: any,
-  component: NodeDataType
+  component: NodeDataType,
 ) {}
 
 export function removeFileNameFromComponents(flow: FlowType) {
@@ -1147,6 +1339,20 @@ export function removeFileNameFromComponents(flow: FlowType) {
   });
 }
 
+export function removeGlobalVariableFromComponents(flow: FlowType) {
+  flow.data!.nodes.forEach((node: NodeType) => {
+    Object.keys(node.data.node!.template).forEach((field) => {
+      if (node.data?.node?.template[field]?.load_from_db) {
+        node.data.node!.template[field].value = "";
+        node.data.node!.template[field].load_from_db = false;
+      }
+    });
+    if (node.data.node?.flow) {
+      removeGlobalVariableFromComponents(node.data.node.flow);
+    }
+  });
+}
+
 export function typesGenerator(data: APIObjectType) {
   return Object.keys(data)
     .reverse()
@@ -1172,10 +1378,26 @@ export function templatesGenerator(data: APIObjectType) {
   }, {});
 }
 
+export function extractFieldsFromComponenents(data: APIObjectType) {
+  const fields = new Set<string>();
+  Object.keys(data).forEach((key) => {
+    Object.keys(data[key]).forEach((kind) => {
+      Object.keys(data[key][kind].template).forEach((field) => {
+        if (
+          data[key][kind].template[field].display_name &&
+          data[key][kind].template[field].show
+        )
+          fields.add(data[key][kind].template[field].display_name!);
+      });
+    });
+  });
+  return fields;
+}
+
 export function downloadFlow(
   flow: FlowType,
   flowName: string,
-  flowDescription?: string
+  flowDescription?: string,
 ) {
   let clonedFlow = cloneDeep(flow);
   removeFileNameFromComponents(clonedFlow);
@@ -1185,7 +1407,7 @@ export function downloadFlow(
       ...clonedFlow,
       name: flowName,
       description: flowDescription,
-    })
+    }),
   )}`;
 
   // create a link element and set its properties
@@ -1200,7 +1422,7 @@ export function downloadFlow(
 export function downloadFlows() {
   downloadFlowsFromDatabase().then((flows) => {
     const jsonString = `data:text/json;chatset=utf-8,${encodeURIComponent(
-      JSON.stringify(flows)
+      JSON.stringify(flows),
     )}`;
 
     // create a link element and set its properties
@@ -1213,9 +1435,18 @@ export function downloadFlows() {
   });
 }
 
+export function getRandomElement<T>(array: T[]): T {
+  return array[Math.floor(Math.random() * array.length)];
+}
+
+export function getRandomDescription(): string {
+  return getRandomElement(DESCRIPTIONS);
+}
+
 export const createNewFlow = (
   flowData: ReactFlowJsonObject,
-  flow: FlowType
+  flow: FlowType,
+  folderId: string,
 ) => {
   return {
     description: flow?.description ?? getRandomDescription(),
@@ -1223,5 +1454,70 @@ export const createNewFlow = (
     data: flowData,
     id: "",
     is_component: flow?.is_component ?? false,
+    folder_id: folderId,
+    endpoint_name: flow?.endpoint_name ?? undefined,
   };
 };
+
+export function isInputNode(nodeData: NodeDataType): boolean {
+  return INPUT_TYPES.has(nodeData.type);
+}
+
+export function isOutputNode(nodeData: NodeDataType): boolean {
+  return OUTPUT_TYPES.has(nodeData.type);
+}
+
+export function isInputType(type: string): boolean {
+  return INPUT_TYPES.has(type);
+}
+
+export function isOutputType(type: string): boolean {
+  return OUTPUT_TYPES.has(type);
+}
+
+export function updateGroupRecursion(groupNode: NodeType, edges: Edge[]) {
+  if (groupNode.data.node?.flow) {
+    groupNode.data.node.flow.data!.nodes.forEach((node) => {
+      if (node.data.node?.flow) {
+        updateGroupRecursion(node, node.data.node.flow.data!.edges);
+      }
+    });
+    let newFlow = groupNode.data.node!.flow;
+    const idsMap = updateIds(newFlow.data!);
+    updateProxyIdsOnTemplate(groupNode.data.node!.template, idsMap);
+    let flowEdges = edges;
+    updateEdgesIds(flowEdges, idsMap);
+  }
+}
+
+export function getGroupOutputNodeId(
+  flow: FlowType,
+  p_name: string,
+  p_node_id: string,
+) {
+  let node: NodeType | undefined = flow.data?.nodes.find(
+    (n) => n.id === p_node_id,
+  );
+  if (!node) return;
+  if (node.data.node?.flow) {
+    let output = node.data.node.outputs?.find((o) => o.name === p_name);
+    if (output && output.proxy) {
+      return getGroupOutputNodeId(
+        node.data.node.flow,
+        output.proxy.name,
+        output.proxy.id,
+      );
+    }
+  }
+  return { id: node.id, outputName: p_name };
+}
+
+export function checkOldComponents({ nodes }: { nodes: any[] }) {
+  return nodes.some(
+    (node) =>
+      node.data.node?.template.code &&
+      (node.data.node?.template.code.value as string).includes(
+        "(CustomComponent):",
+      ),
+  );
+}
diff --git a/src/frontend/src/utils/storeUtils.ts b/src/frontend/src/utils/storeUtils.ts
index 8738bac7541..c8391b21166 100644
--- a/src/frontend/src/utils/storeUtils.ts
+++ b/src/frontend/src/utils/storeUtils.ts
@@ -1,23 +1,52 @@
-import { cloneDeep } from "lodash";
-import { FlowType } from "../types/flow";
+import { cloneDeep, uniqueId } from "lodash";
+import { Node } from "reactflow";
+import { FlowType, NodeDataType } from "../types/flow";
+import { isInputNode, isOutputNode } from "./reactflowUtils";
 
 export default function cloneFLowWithParent(
   flow: FlowType,
   parent: string,
-  is_component: boolean
+  is_component: boolean,
+  keepId = false,
 ) {
   let childFLow = cloneDeep(flow);
   childFLow.parent = parent;
-  childFLow.id = "";
+  if (!keepId) {
+    childFLow.id = "";
+  } else {
+    childFLow.id = uniqueId() + "-" + childFLow.id;
+  }
   childFLow.is_component = is_component;
   return childFLow;
 }
 
-export function getTagsIds(
-  tags: string[],
-  tagListId: { name: string; id: string }[]
-) {
-  return tags
-    .map((tag) => tagListId.find((tagObj) => tagObj.name === tag))!
-    .map((tag) => tag!.id);
+export function getInputsAndOutputs(nodes: Node[]) {
+  let inputs: {
+    type: string;
+    id: string;
+    displayName: string;
+  }[] = [];
+  let outputs: {
+    type: string;
+    id: string;
+    displayName: string;
+  }[] = [];
+  nodes.forEach((node) => {
+    const nodeData: NodeDataType = node.data as NodeDataType;
+    if (isOutputNode(nodeData)) {
+      outputs.push({
+        type: nodeData.type,
+        id: nodeData.id,
+        displayName: nodeData.node?.display_name ?? nodeData.id,
+      });
+    }
+    if (isInputNode(nodeData)) {
+      inputs.push({
+        type: nodeData.type,
+        id: nodeData.id,
+        displayName: nodeData.node?.display_name ?? nodeData.id,
+      });
+    }
+  });
+  return { inputs, outputs };
 }
diff --git a/src/frontend/src/utils/styleUtils.ts b/src/frontend/src/utils/styleUtils.ts
index b0432fe7e46..30a22fd601a 100644
--- a/src/frontend/src/utils/styleUtils.ts
+++ b/src/frontend/src/utils/styleUtils.ts
@@ -1,45 +1,73 @@
 import {
+  AlertCircle,
+  AlertTriangle,
+  ArrowBigUp,
+  ArrowLeft,
   ArrowUpToLine,
   Bell,
+  Binary,
+  Blocks,
   BookMarked,
   BookmarkPlus,
+  Bot,
   Boxes,
+  Braces,
+  BrainCircuit,
   Check,
   CheckCircle2,
   ChevronDown,
   ChevronLeft,
   ChevronRight,
+  ChevronRightSquare,
   ChevronUp,
   ChevronsLeft,
   ChevronsRight,
   ChevronsUpDown,
+  ChevronsUpDownIcon,
   Circle,
+  CircleDot,
+  CircleOff,
   Clipboard,
+  Code,
   Code2,
   Combine,
+  Command,
   Compass,
   Copy,
   Cpu,
+  CpuIcon,
+  Database,
+  Delete,
+  Dot,
   Download,
   DownloadCloud,
   Edit,
+  Ellipsis,
   Eraser,
   ExternalLink,
   Eye,
   EyeOff,
   File,
+  FileClock,
   FileDown,
   FileSearch,
   FileSearch2,
+  FileSliders,
   FileText,
+  FileType2,
   FileUp,
-  Fingerprint,
+  FlaskConical,
+  FolderIcon,
   FolderPlus,
+  FolderPlusIcon,
+  FolderUp,
+  FormInput,
   Forward,
   Gift,
   GitBranchPlus,
   GitFork,
   GithubIcon,
+  Globe,
   Group,
   Hammer,
   Heart,
@@ -47,46 +75,70 @@ import {
   Home,
   Info,
   Key,
+  Keyboard,
   Laptop2,
   Layers,
-  Lightbulb,
   Link,
   Loader2,
   Lock,
   LogIn,
+  LogOut,
   LucideSend,
   Maximize2,
   Menu,
   MessageCircle,
   MessageSquare,
+  MessageSquareMore,
   MessagesSquare,
   Minimize2,
   Minus,
   MoonIcon,
   MoreHorizontal,
   Network,
+  Package2,
+  Palette,
   Paperclip,
+  PaperclipIcon,
   Pencil,
+  PencilLine,
+  Pin,
+  Play,
   Plus,
+  PlusCircle,
+  PlusSquare,
+  PocketKnife,
   Redo,
   RefreshCcw,
-  Rocket,
+  RefreshCcwDot,
+  Repeat,
+  RotateCcw,
   Save,
   SaveAll,
+  ScanEye,
   Scissors,
+  ScreenShare,
+  ScrollText,
   Search,
+  Settings,
   Settings2,
   Share,
   Share2,
   Shield,
+  Sliders,
+  SlidersHorizontal,
+  Snowflake,
   Sparkles,
   Square,
+  SquarePen,
   Store,
   SunIcon,
   TerminalIcon,
   TerminalSquare,
+  TextCursorInput,
+  TextSearch,
   ToyBrick,
   Trash2,
+  Type,
   Undo,
   Ungroup,
   Unplug,
@@ -104,42 +156,58 @@ import {
   XCircle,
   Zap,
 } from "lucide-react";
-import { FaApple, FaGithub } from "react-icons/fa";
+import { FaApple, FaDiscord, FaGithub } from "react-icons/fa";
 import { AWSIcon } from "../icons/AWS";
 import { AirbyteIcon } from "../icons/Airbyte";
 import { AnthropicIcon } from "../icons/Anthropic";
+import { AstraDBIcon } from "../icons/AstraDB";
+import { AzureIcon } from "../icons/Azure";
 import { BingIcon } from "../icons/Bing";
+import { BotMessageSquareIcon } from "../icons/BotMessageSquare";
+import { CassandraIcon } from "../icons/Cassandra";
 import { ChromaIcon } from "../icons/ChromaIcon";
 import { CohereIcon } from "../icons/Cohere";
+import { CouchbaseIcon } from "../icons/Couchbase";
 import { ElasticsearchIcon } from "../icons/ElasticsearchStore";
 import { EvernoteIcon } from "../icons/Evernote";
 import { FBIcon } from "../icons/FacebookMessenger";
 import { GitBookIcon } from "../icons/GitBook";
 import { GoogleIcon } from "../icons/Google";
+import { GoogleGenerativeAIIcon } from "../icons/GoogleGenerativeAI";
 import {
   GradientInfinity,
   GradientSave,
   GradientUngroup,
 } from "../icons/GradientSparkles";
+import { GroqIcon } from "../icons/Groq";
 import { HuggingFaceIcon } from "../icons/HuggingFace";
 import { IFixIcon } from "../icons/IFixIt";
+import { LangChainIcon } from "../icons/LangChain";
 import { MetaIcon } from "../icons/Meta";
 import { MidjourneyIcon } from "../icons/Midjorney";
 import { MongoDBIcon } from "../icons/MongoDB";
 import { NotionIcon } from "../icons/Notion";
+import { OllamaIcon } from "../icons/Ollama";
 import { OpenAiIcon } from "../icons/OpenAi";
 import { PineconeIcon } from "../icons/Pinecone";
+import { PostgresIcon } from "../icons/Postgres";
+import { PythonIcon } from "../icons/Python";
 import { QDrantIcon } from "../icons/QDrant";
+import { QianFanChatIcon } from "../icons/QianFanChat";
+import { RedisIcon } from "../icons/Redis";
 import { SearxIcon } from "../icons/Searx";
 import { ShareIcon } from "../icons/Share";
 import { Share2Icon } from "../icons/Share2";
 import SvgSlackIcon from "../icons/Slack/SlackIcon";
+import { Streamlit } from "../icons/Streamlit";
+import { UpstashSvgIcon } from "../icons/Upstash";
 import { VectaraIcon } from "../icons/VectaraIcon";
 import { VertexAIIcon } from "../icons/VertexAI";
 import { WeaviateIcon } from "../icons/Weaviate";
 import SvgWikipedia from "../icons/Wikipedia/Wikipedia";
 import SvgWolfram from "../icons/Wolfram/Wolfram";
 import { HackerNewsIcon } from "../icons/hackerNews";
+import { MistralIcon } from "../icons/mistral";
 import { SupabaseIcon } from "../icons/supabase";
 import { iconsType } from "../types/components";
 
@@ -178,10 +246,13 @@ export const gradients = [
 ];
 
 export const nodeColors: { [char: string]: string } = {
+  inputs: "#10B981",
+  outputs: "#AA2411",
+  data: "#198BF6",
   prompts: "#4367BF",
-  llms: "#6344BE",
+  models: "#ab11ab",
+  model_specs: "#6344BE",
   chains: "#FE7500",
-  Document: "#7AAE42",
   list: "#9AAE42",
   agents: "#903BBE",
   tools: "#FF3434",
@@ -193,20 +264,36 @@ export const nodeColors: { [char: string]: string } = {
   embeddings: "#42BAA7",
   documentloaders: "#7AAE42",
   vectorstores: "#AA8742",
+  vectorsearch: "#AA8742",
   textsplitters: "#B47CB5",
   toolkits: "#DB2C2C",
   wrappers: "#E6277A",
-  utilities: "#31A3CC",
+  helpers: "#31A3CC",
+  prototypes: "#E6277A",
+  langchain_utilities: "#31A3CC",
   output_parsers: "#E6A627",
-  str: "#049524",
+  // custom_components: "#ab11ab",
   retrievers: "#e6b25a",
+  //
+  str: "#4F46E5",
+  Text: "#4F46E5",
   unknown: "#9CA3AF",
-  custom_components: "#ab11ab",
+  Document: "#65a30d",
+  Data: "#dc2626",
+  Message: "#4f46e5",
+  Prompt: "#7c3aed",
+  Embeddings: "#10b981",
+  BaseLanguageModel: "#c026d3",
+  LanguageModel: "#c026d3",
 };
 
 export const nodeNames: { [char: string]: string } = {
+  inputs: "Inputs",
+  outputs: "Outputs",
+  data: "Data",
   prompts: "Prompts",
-  llms: "LLMs",
+  models: "Models",
+  model_specs: "Model Specs",
   chains: "Chains",
   agents: "Agents",
   tools: "Tools",
@@ -217,27 +304,62 @@ export const nodeNames: { [char: string]: string } = {
   embeddings: "Embeddings",
   documentloaders: "Loaders",
   vectorstores: "Vector Stores",
+  vectorsearch: "Vector Search",
   toolkits: "Toolkits",
   wrappers: "Wrappers",
   textsplitters: "Text Splitters",
   retrievers: "Retrievers",
-  utilities: "Utilities",
+  helpers: "Helpers",
+  prototypes: "Prototypes",
+  langchain_utilities: "Utilities",
   output_parsers: "Output Parsers",
   custom_components: "Custom",
   unknown: "Other",
 };
 
 export const nodeIconsLucide: iconsType = {
+  X: X,
+  Notify: Bell,
+  ListFlows: Group,
+  ClearMessageHistory: FileClock,
+  Python: PythonIcon,
+  ChatOutput: MessagesSquare,
+  BotMessageSquareIcon,
+  ChatInput: MessagesSquare,
+  inputs: Download,
+  outputs: Upload,
+  data: Database,
+  AzureChatOpenAi: AzureIcon,
+  Ollama: OllamaIcon,
+  ChatOllama: OllamaIcon,
+  AzureOpenAiEmbeddings: AzureIcon,
+  Azure: AzureIcon,
+  OllamaEmbeddings: OllamaIcon,
+  ChatOllamaModel: OllamaIcon,
+  FAISS: MetaIcon,
+  FaissSearch: MetaIcon,
+  LangChain: LangChainIcon,
+  AzureOpenAiModel: AzureIcon,
+  Redis: RedisIcon,
+  RedisSearch: RedisIcon,
+  PostgresChatMessageHistory: PostgresIcon,
+  BaiduQianfan: QianFanChatIcon,
+  Play,
   Vectara: VectaraIcon,
   ArrowUpToLine: ArrowUpToLine,
+  Cassandra: CassandraIcon,
   Chroma: ChromaIcon,
+  Couchbase: CouchbaseIcon,
   AirbyteJSONLoader: AirbyteIcon,
   AmazonBedrockEmbeddings: AWSIcon,
+  Amazon: AWSIcon,
   Anthropic: AnthropicIcon,
   ChatAnthropic: AnthropicIcon,
+  AstraDB: AstraDBIcon,
   BingSearchAPIWrapper: BingIcon,
   BingSearchRun: BingIcon,
   Cohere: CohereIcon,
+  ChevronsUpDownIcon,
   CohereEmbeddings: CohereIcon,
   EverNoteLoader: EvernoteIcon,
   FacebookChatLoader: FBIcon,
@@ -245,13 +367,19 @@ export const nodeIconsLucide: iconsType = {
   GoogleSearchAPIWrapper: GoogleIcon,
   GoogleSearchResults: GoogleIcon,
   GoogleSearchRun: GoogleIcon,
+  Google: GoogleIcon,
+  GoogleGenerativeAI: GoogleGenerativeAIIcon,
+  Groq: GroqIcon,
   HNLoader: HackerNewsIcon,
   HuggingFaceHub: HuggingFaceIcon,
+  HuggingFace: HuggingFaceIcon,
   HuggingFaceEmbeddings: HuggingFaceIcon,
   IFixitLoader: IFixIcon,
   Meta: MetaIcon,
   Midjorney: MidjourneyIcon,
   MongoDBAtlasVectorSearch: MongoDBIcon,
+  MongoDB: MongoDBIcon,
+  MongoDBChatMessageHistory: MongoDBIcon,
   NotionDirectoryLoader: NotionIcon,
   ChatOpenAI: OpenAiIcon,
   AzureChatOpenAI: OpenAiIcon,
@@ -264,30 +392,38 @@ export const nodeIconsLucide: iconsType = {
   Searx: SearxIcon,
   SlackDirectoryLoader: SvgSlackIcon,
   SupabaseVectorStore: SupabaseIcon,
+  Supabase: SupabaseIcon,
   VertexAI: VertexAIIcon,
   ChatVertexAI: VertexAIIcon,
   VertexAIEmbeddings: VertexAIIcon,
   Share3: ShareIcon,
   Share4: Share2Icon,
-  agents: Rocket,
+  agents: Bot,
   Workflow,
   User,
   WikipediaAPIWrapper: SvgWikipedia,
   chains: Link,
   memories: Cpu,
-  llms: Lightbulb,
+  models: BrainCircuit,
+  model_specs: FileSliders,
   prompts: TerminalSquare,
-  tools: Wrench,
+  tools: Hammer,
   advanced: Laptop2,
   chat: MessageCircle,
-  embeddings: Fingerprint,
+  Keyboard: Keyboard,
+  embeddings: Binary,
   saved_components: GradientSave,
+  ScrollText,
   documentloaders: Paperclip,
   vectorstores: Layers,
-  toolkits: Hammer,
+  vectorsearch: TextSearch,
+  toolkits: Package2,
   textsplitters: Scissors,
   wrappers: Gift,
-  utilities: Wand2,
+  helpers: Wand2,
+  ScanEye,
+  prototypes: FlaskConical,
+  langchain_utilities: PocketKnife,
   WolframAlphaAPIWrapper: SvgWolfram,
   output_parsers: Compass,
   retrievers: FileSearch,
@@ -298,12 +434,13 @@ export const nodeIconsLucide: iconsType = {
   group_components: GradientUngroup,
   custom: Edit,
   Trash2,
+  CircleOff,
   Boxes,
   Network,
-  X,
   XCircle,
   Info,
   CheckCircle2,
+  SquarePen,
   Zap,
   MessagesSquare,
   ExternalLink,
@@ -314,19 +451,32 @@ export const nodeIconsLucide: iconsType = {
   SunIcon,
   MoonIcon,
   Bell,
+  AlertTriangle,
   ChevronLeft,
+  SlidersHorizontal,
+  Palette,
+  RefreshCcwDot,
+  FolderUp,
+  Blocks,
   ChevronDown,
+  ArrowLeft,
   Shield,
   Plus,
   Redo,
   Settings2,
+  FileType2,
   Undo,
   FileSearch2,
   ChevronRight,
   Circle,
+  CircleDot,
   Clipboard,
+  PlusCircle,
+  PlusSquare,
   Code2,
+  Globe,
   Variable,
+  Snowflake,
   Store,
   Download,
   Eraser,
@@ -363,13 +513,18 @@ export const nodeIconsLucide: iconsType = {
   Group,
   LogIn,
   ChevronUp,
+  PencilLine,
   Ungroup,
   BookMarked,
   Minus,
+  LogOut,
   Square,
   Minimize2,
   Maximize2,
+  FormInput,
+  ChevronRightSquare,
   SaveAll,
+  MessageSquareMore,
   Forward,
   Share2,
   Share,
@@ -377,9 +532,37 @@ export const nodeIconsLucide: iconsType = {
   Loader2,
   BookmarkPlus,
   Heart,
+  Pin,
   Link,
   ToyBrick,
   RefreshCcw,
   Combine,
   TerminalIcon,
+  TerminalSquare,
+  TextCursorInput,
+  Repeat,
+  Sliders,
+  ScreenShare,
+  Code,
+  Type,
+  Ellipsis,
+  Braces,
+  FlaskConical,
+  AlertCircle,
+  Bot,
+  Delete,
+  Command,
+  ArrowBigUp,
+  Dot,
+  RotateCcw,
+  Wrench,
+  FolderPlusIcon,
+  FolderIcon,
+  Discord: FaDiscord,
+  PaperclipIcon,
+  Settings,
+  Streamlit,
+  MistralAI: MistralIcon,
+  Upstash: UpstashSvgIcon,
+  PGVector: CpuIcon,
 };
diff --git a/src/frontend/src/utils/utils.ts b/src/frontend/src/utils/utils.ts
index f1e534c1a9e..e704beb6327 100644
--- a/src/frontend/src/utils/utils.ts
+++ b/src/frontend/src/utils/utils.ts
@@ -1,20 +1,17 @@
+import { ColDef, ColGroupDef } from "ag-grid-community";
 import clsx, { ClassValue } from "clsx";
 import { twMerge } from "tailwind-merge";
-import { ADJECTIVES, DESCRIPTIONS, NOUNS } from "../flow_constants";
+import TableAutoCellRender from "../components/tableComponent/components/tableAutoCellRender";
+import { MESSAGES_TABLE_ORDER, MODAL_CLASSES } from "../constants/constants";
+import { APIDataType, InputFieldType, VertexDataTypeAPI } from "../types/api";
 import {
-  APIDataType,
-  APITemplateType,
-  TemplateVariableType,
-} from "../types/api";
-import {
-  IVarHighlightType,
   groupedObjType,
   nodeGroupedObjType,
   tweakType,
 } from "../types/components";
-import { FlowType, NodeType } from "../types/flow";
-import { FlowState, FlowsState } from "../types/tabs";
-import { buildTweaks } from "./reactflowUtils";
+import { NodeType } from "../types/flow";
+import { FlowState } from "../types/tabs";
+import { isErrorLog } from "../types/utils/typeCheckingUtils";
 
 export function classNames(...classes: Array<string>): string {
   return classes.filter(Boolean).join(" ");
@@ -58,14 +55,18 @@ export function normalCaseToSnakeCase(str: string): string {
     .join("_");
 }
 
-export function toTitleCase(str: string | undefined): string {
+export function toTitleCase(
+  str: string | undefined,
+  isNodeField?: boolean,
+): string {
   if (!str) return "";
   let result = str
     .split("_")
     .map((word, index) => {
+      if (isNodeField) return word;
       if (index === 0) {
         return checkUpperWords(
-          word[0].toUpperCase() + word.slice(1).toLowerCase()
+          word[0].toUpperCase() + word.slice(1).toLowerCase(),
         );
       }
       return checkUpperWords(word.toLowerCase());
@@ -75,9 +76,10 @@ export function toTitleCase(str: string | undefined): string {
   return result
     .split("-")
     .map((word, index) => {
+      if (isNodeField) return word;
       if (index === 0) {
         return checkUpperWords(
-          word[0].toUpperCase() + word.slice(1).toLowerCase()
+          word[0].toUpperCase() + word.slice(1).toLowerCase(),
         );
       }
       return checkUpperWords(word.toLowerCase());
@@ -96,14 +98,127 @@ export function checkUpperWords(str: string): string {
   return words.join(" ");
 }
 
-export const isWrappedWithClass = (event: any, className: string | undefined) =>
-  event.target.closest(`.${className}`);
+export function buildInputs(): string {
+  return '{"input_value": "message"}';
+}
+
+export function getRandomKeyByssmm(): string {
+  const now = new Date();
+  const seconds = String(now.getSeconds()).padStart(2, "0");
+  const milliseconds = String(now.getMilliseconds()).padStart(3, "0");
+  return seconds + milliseconds + Math.abs(Math.floor(Math.random() * 10001));
+}
+
+export function buildTweakObject(tweak: tweakType) {
+  tweak.forEach((el) => {
+    Object.keys(el).forEach((key) => {
+      for (let kp in el[key]) {
+        try {
+          el[key][kp] = JSON.parse(el[key][kp]);
+        } catch {}
+      }
+    });
+  });
+  const tweakString = JSON.stringify(tweak.at(-1), null, 2);
+  return tweakString;
+}
+
+/**
+ * Function to get Chat Input Field
+ * @param {FlowsState} tabsState - The current tabs state.
+ * @returns {string} - The chat input field
+ */
+export function getChatInputField(flowState?: FlowState) {
+  let chat_input_field = "text";
+
+  if (flowState && flowState.input_keys) {
+    chat_input_field = Object.keys(flowState.input_keys!)[0];
+  }
+  return chat_input_field;
+}
+
+export function getOutputIds(flow) {
+  const nodes = flow.data!.nodes;
+
+  const arrayOfOutputs = nodes.reduce((acc: string[], node) => {
+    if (node.data.type.toLowerCase().includes("output")) {
+      acc.push(node.id);
+    }
+    return acc;
+  }, []);
+
+  const arrayOfOutputsJoin = arrayOfOutputs
+    .map((output) => `"${output}"`)
+    .join(", ");
+
+  return arrayOfOutputsJoin;
+}
+
+export function truncateLongId(id: string): string {
+  let [componentName, newId] = id.split("-");
+  if (componentName.length > 15) {
+    componentName = componentName.slice(0, 15);
+    componentName += "...";
+    return componentName + "-" + newId;
+  }
+  return id;
+}
+
+export function extractIdFromLongId(id: string): string {
+  let [_, newId] = id.split("-");
+  return newId;
+}
+
+export function truncateDisplayName(name: string): string {
+  if (name.length > 15) {
+    name = name.slice(0, 15);
+    name += "...";
+  }
+  return name;
+}
+
+export function checkLocalStorageKey(key: string): boolean {
+  return localStorage.getItem(key) !== null;
+}
+
+export function IncrementObjectKey(
+  object: object,
+  key: string,
+): { newKey: string; increment: number } {
+  let count = 1;
+  const type = removeCountFromString(key);
+  let newKey = type + " " + `(${count})`;
+  while (object[newKey]) {
+    count++;
+    newKey = type + " " + `(${count})`;
+  }
+  return { newKey, increment: count };
+}
+
+export function removeCountFromString(input: string): string {
+  // Define a regex pattern to match the count in parentheses
+  const pattern = /\s*\(\w+\)\s*$/;
+
+  // Use the `replace` method to remove the matched pattern
+  const result = input.replace(pattern, "");
+
+  return result.trim(); // Trim any leading/trailing spaces
+}
+
+export function extractTypeFromLongId(id: string): string {
+  let [newId, _] = id.split("-");
+  return newId;
+}
+
+export function createRandomKey(key: string, uid: string): string {
+  return removeCountFromString(key) + ` (${uid})`;
+}
 
 export function groupByFamily(
   data: APIDataType,
   baseClasses: string,
   left: boolean,
-  flow?: NodeType[]
+  flow?: NodeType[],
 ): groupedObjType[] {
   const baseClassesSet = new Set(baseClasses.split("\n"));
   let arrOfPossibleInputs: Array<{
@@ -119,25 +234,17 @@ export function groupByFamily(
     display_name?: string;
   }> = [];
   let checkedNodes = new Map();
-  const excludeTypes = new Set([
-    "str",
-    "bool",
-    "float",
-    "code",
-    "prompt",
-    "file",
-    "int",
-  ]);
-
-  const checkBaseClass = (template: TemplateVariableType) => {
+  const excludeTypes = new Set(["bool", "float", "code", "file", "int"]);
+
+  const checkBaseClass = (template: InputFieldType) => {
     return (
-      template.type &&
-      template.show &&
+      template?.type &&
+      template?.show &&
       ((!excludeTypes.has(template.type) &&
         baseClassesSet.has(template.type)) ||
-        (template.input_types &&
-          template.input_types.some((inputType) =>
-            baseClassesSet.has(inputType)
+        (template?.input_types &&
+          template?.input_types.some((inputType) =>
+            baseClassesSet.has(inputType),
           )))
     );
   };
@@ -146,7 +253,7 @@ export function groupByFamily(
     // se existir o flow
     for (const node of flow) {
       // para cada node do flow
-      if (node!.data!.node!.flow) break; // não faz nada se o node for um group
+      if (node!.data!.node!.flow || !node!.data!.node!.template) break; // não faz nada se o node for um group
       const nodeData = node.data;
 
       const foundNode = checkedNodes.get(nodeData.type); // verifica se o tipo do node já foi checado
@@ -156,8 +263,8 @@ export function groupByFamily(
           Object.values(nodeData.node!.template).some(checkBaseClass),
         hasBaseClassInBaseClasses:
           foundNode?.hasBaseClassInBaseClasses ||
-          nodeData.node!.base_classes.some((baseClass) =>
-            baseClassesSet.has(baseClass)
+          nodeData.node!.base_classes?.some((baseClass) =>
+            baseClassesSet.has(baseClass),
           ), //seta como anterior ou verifica se o node tem base class
         displayName: nodeData.node?.display_name,
       });
@@ -174,10 +281,10 @@ export function groupByFamily(
       if (!foundNode) {
         foundNode = {
           hasBaseClassInTemplate: Object.values(node!.template).some(
-            checkBaseClass
+            checkBaseClass,
           ),
-          hasBaseClassInBaseClasses: node!.base_classes.some((baseClass) =>
-            baseClassesSet.has(baseClass)
+          hasBaseClassInBaseClasses: node!.base_classes?.some((baseClass) =>
+            baseClassesSet.has(baseClass),
           ),
           displayName: node?.display_name,
         };
@@ -220,431 +327,139 @@ export function groupByFamily(
       }));
 }
 
-export function buildInputs(flowState?: FlowState): string {
-  return flowState &&
-    flowState.input_keys &&
-    Object.keys(flowState.input_keys!).length > 0
-    ? JSON.stringify(flowState.input_keys)
-    : '{"input": "message"}';
-}
-
-export function getRandomElement<T>(array: T[]): T {
-  return array[Math.floor(Math.random() * array.length)];
-}
-export function getRandomDescription(): string {
-  return getRandomElement(DESCRIPTIONS);
-}
-
-export function getRandomName(
-  retry: number = 0,
-  noSpace: boolean = false,
-  maxRetries: number = 3
-): string {
-  const left: string[] = ADJECTIVES;
-  const right: string[] = NOUNS;
-
-  const lv = getRandomElement(left);
-  const rv = getRandomElement(right);
-
-  // Condition to avoid "boring wozniak"
-  if (lv === "boring" && rv === "wozniak") {
-    if (retry < maxRetries) {
-      return getRandomName(retry + 1, noSpace, maxRetries);
-    } else {
-      console.warn("Max retries reached, returning as is");
+// this function is used to get the set of keys from an object
+export function getSetFromObject(obj: object, key?: string): Set<string> {
+  const set = new Set<string>();
+  if (key) {
+    for (const objKey in obj) {
+      set.add(obj[objKey][key]);
+    }
+  } else {
+    for (const key in obj) {
+      set.add(key);
     }
   }
-
-  // Append a suffix if retrying and noSpace is true
-  if (retry > 0 && noSpace) {
-    const retrySuffix = Math.floor(Math.random() * 10);
-    return `${lv}_${rv}${retrySuffix}`;
-  }
-
-  // Construct the final name
-  let final_name = noSpace ? `${lv}_${rv}` : `${lv} ${rv}`;
-  // Return title case final name
-  return toTitleCase(final_name);
-}
-
-export function getRandomKeyByssmm(): string {
-  const now = new Date();
-  const seconds = String(now.getSeconds()).padStart(2, "0");
-  const milliseconds = String(now.getMilliseconds()).padStart(3, "0");
-  return seconds + milliseconds + Math.abs(Math.floor(Math.random() * 10001));
+  return set;
 }
 
-export function varHighlightHTML({ name }: IVarHighlightType): string {
-  const html = `<span class="font-semibold chat-message-highlight">{${name}}</span>`;
-  return html;
+export function freezeObject(obj: any) {
+  if (!obj) return obj;
+  return JSON.parse(JSON.stringify(obj));
 }
+export function isTimeStampString(str: string): boolean {
+  const timestampRegexA = /^\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}(\.\d{3}Z)?$/;
+  const timestampRegexB = /^\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}(\.\d{6})?$/;
 
-export function buildTweakObject(tweak: tweakType) {
-  tweak.forEach((el) => {
-    Object.keys(el).forEach((key) => {
-      for (let kp in el[key]) {
-        try {
-          el[key][kp] = JSON.parse(el[key][kp]);
-        } catch {}
-      }
-    });
-  });
-  const tweakString = JSON.stringify(tweak.at(-1), null, 2);
-  return tweakString;
+  return timestampRegexA.test(str) || timestampRegexB.test(str);
 }
 
-/**
- * Function to get Chat Input Field
- * @param {FlowType} flow - The current flow.
- * @param {FlowsState} tabsState - The current tabs state.
- * @returns {string} - The chat input field
- */
-export function getChatInputField(flow: FlowType, flowState?: FlowState) {
-  let chat_input_field = "text";
-
-  if (flowState && flowState.input_keys) {
-    chat_input_field = Object.keys(flowState.input_keys!)[0];
+export function extractColumnsFromRows(
+  rows: object[],
+  mode: "intersection" | "union",
+  excludeColumns?: Array<string>,
+): (ColDef<any> | ColGroupDef<any>)[] {
+  let columnsKeys: { [key: string]: ColDef<any> | ColGroupDef<any> } = {};
+  if (rows.length === 0) {
+    return [];
   }
-  return chat_input_field;
-}
-
-/**
- * Function to get the python code for the API
- * @param {string} flowId - The id of the flow
- * @returns {string} - The python code
- */
-export function getPythonApiCode(
-  flow: FlowType,
-  isAuth: boolean,
-  tweak?: any[],
-  flowState?: FlowState
-): string {
-  const flowId = flow.id;
-
-  // create a dictionary of node ids and the values is an empty dictionary
-  // flow.data.nodes.forEach((node) => {
-  //   node.data.id
-  // }
-  const tweaks = buildTweaks(flow);
-  const inputs = buildInputs(flowState);
-  return `import requests
-from typing import Optional
-
-BASE_API_URL = "${window.location.protocol}//${
-    window.location.host
-  }/api/v1/process"
-FLOW_ID = "${flowId}"
-# You can tweak the flow by adding a tweaks dictionary
-# e.g {"OpenAI-XXXXX": {"model_name": "gpt-4"}}
-TWEAKS = ${
-    tweak && tweak.length > 0
-      ? buildTweakObject(tweak)
-      : JSON.stringify(tweaks, null, 2)
+  function intersection() {
+    for (const key in rows[0]) {
+      columnsKeys[key] = {
+        headerName: key,
+        field: key,
+        cellRenderer: TableAutoCellRender,
+        filter: true,
+      };
+    }
+    for (const row of rows) {
+      for (const key in columnsKeys) {
+        if (!row[key]) {
+          delete columnsKeys[key];
+        }
+      }
+    }
   }
-
-def run_flow(inputs: dict, flow_id: str, tweaks: Optional[dict] = None${
-    !isAuth ? `, api_key: Optional[str] = None` : ""
-  }) -> dict:
-    """
-    Run a flow with a given message and optional tweaks.
-
-    :param message: The message to send to the flow
-    :param flow_id: The ID of the flow to run
-    :param tweaks: Optional tweaks to customize the flow
-    :return: The JSON response from the flow
-    """
-    api_url = f"{BASE_API_URL}/{flow_id}"
-
-    payload = {"inputs": inputs}
-    headers = None
-    if tweaks:
-        payload["tweaks"] = tweaks
-    if api_key:
-        headers = {"x-api-key": api_key}
-    response = requests.post(api_url, json=payload, headers=headers)
-    return response.json()
-
-# Setup any tweaks you want to apply to the flow
-inputs = ${inputs}
-${!isAuth ? `api_key = "<your api key>"` : ""}
-print(run_flow(inputs, flow_id=FLOW_ID, tweaks=TWEAKS${
-    !isAuth ? `, api_key=api_key` : ""
-  }))`;
-}
-
-/**
- * Function to get the curl code for the API
- * @param {string} flowId - The id of the flow
- * @returns {string} - The curl code
- */
-export function getCurlCode(
-  flow: FlowType,
-  isAuth: boolean,
-  tweak?: any[],
-  flowState?: FlowState
-): string {
-  const flowId = flow.id;
-  const tweaks = buildTweaks(flow);
-  const inputs = buildInputs(flowState);
-
-  return `curl -X POST \\
-  ${window.location.protocol}//${
-    window.location.host
-  }/api/v1/process/${flowId} \\
-  -H 'Content-Type: application/json'\\${
-    !isAuth ? `\n  -H 'x-api-key: <your api key>'\\` : ""
+  function union() {
+    for (const row of rows) {
+      for (const key in row) {
+        columnsKeys[key] = {
+          headerName: key,
+          field: key,
+          filter: true,
+          cellRenderer: TableAutoCellRender,
+          suppressAutoSize: true,
+          tooltipField: key,
+        };
+      }
+    }
   }
-  -d '{"inputs": ${inputs}, "tweaks": ${
-    tweak && tweak.length > 0
-      ? buildTweakObject(tweak)
-      : JSON.stringify(tweaks, null, 2)
-  }}'`;
-}
 
-/**
- * Function to get the python code for the API
- * @param {string} flow - The current flow
- * @returns {string} - The python code
- */
-export function getPythonCode(
-  flow: FlowType,
-  tweak?: any[],
-  flowState?: FlowState
-): string {
-  const flowName = flow.name;
-  const tweaks = buildTweaks(flow);
-  const inputs = buildInputs(flowState);
-  return `from langflow import load_flow_from_json
-TWEAKS = ${
-    tweak && tweak.length > 0
-      ? buildTweakObject(tweak)
-      : JSON.stringify(tweaks, null, 2)
+  if (mode === "intersection") {
+    intersection();
+  } else {
+    union();
   }
-flow = load_flow_from_json("${flowName}.json", tweaks=TWEAKS)
-# Now you can use it like any chain
-inputs = ${inputs}
-flow(inputs)`;
-}
 
-/**
- * Function to get the widget code for the API
- * @param {string} flow - The current flow.
- * @returns {string} - The widget code
- */
-export function getWidgetCode(
-  flow: FlowType,
-  isAuth: boolean,
-  flowState?: FlowState
-): string {
-  const flowId = flow.id;
-  const flowName = flow.name;
-  const inputs = buildInputs(flowState);
-  let chat_input_field = getChatInputField(flow, flowState);
-
-  return `<script src="https://cdn.jsdelivr.net/gh/logspace-ai/langflow-embedded-chat@main/dist/build/static/js/bundle.min.js"></script>
-
-<!-- chat_inputs: Stringified JSON with all the input keys and its values. The value of the key that is defined
-as chat_input_field will be overwritten by the chat message.
-chat_input_field: Input key that you want the chat to send the user message with. -->
-<langflow-chat
-  window_title="${flowName}"
-  flow_id="${flowId}"
-  ${
-    flowState
-      ? `chat_inputs='${inputs}'
-  chat_input_field="${chat_input_field}"
-  `
-      : ""
-  }host_url="http://localhost:7860"${
-    !isAuth
-      ? `
-  api_key="..."`
-      : ""
+  if (excludeColumns) {
+    for (const key of excludeColumns) {
+      delete columnsKeys[key];
+    }
   }
 
-></langflow-chat>`;
+  return Object.values(columnsKeys);
 }
 
-export function truncateLongId(id: string): string {
-  let [componentName, newId] = id.split("-");
-  if (componentName.length > 15) {
-    componentName = componentName.slice(0, 15);
-    componentName += "...";
-    return componentName + "-" + newId;
-  }
-  return id;
+export function isThereModal(): boolean {
+  const modal = document.body.getElementsByClassName(MODAL_CLASSES);
+  return modal.length > 0;
 }
 
-export function extractIdFromLongId(id: string): string {
-  let [_, newId] = id.split("-");
-  return newId;
-}
-
-export function truncateDisplayName(name: string): string {
-  if (name.length > 15) {
-    name = name.slice(0, 15);
-    name += "...";
-  }
-  return name;
-}
+export function messagesSorter(a: any, b: any) {
+  const indexA = MESSAGES_TABLE_ORDER.indexOf(a.field);
+  const indexB = MESSAGES_TABLE_ORDER.indexOf(b.field);
 
-export function tabsArray(codes: string[], method: number) {
-  if (!method) return;
-  if (method === 0) {
-    return [
-      {
-        name: "cURL",
-        mode: "bash",
-        image: "https://curl.se/logo/curl-symbol-transparent.png",
-        language: "sh",
-        code: codes[0],
-      },
-      {
-        name: "Python API",
-        mode: "python",
-        image:
-          "https://images.squarespace-cdn.com/content/v1/5df3d8c5d2be5962e4f87890/1628015119369-OY4TV3XJJ53ECO0W2OLQ/Python+API+Training+Logo.png?format=1000w",
-        language: "py",
-        code: codes[1],
-      },
-      {
-        name: "Python Code",
-        mode: "python",
-        image: "https://cdn-icons-png.flaticon.com/512/5968/5968350.png",
-        language: "py",
-        code: codes[2],
-      },
-      {
-        name: "Chat Widget HTML",
-        description:
-          "Insert this code anywhere in your &lt;body&gt; tag. To use with react and other libs, check our <a class='link-color' href='https://langflow.org/guidelines/widget'>documentation</a>.",
-        mode: "html",
-        image: "https://cdn-icons-png.flaticon.com/512/5968/5968350.png",
-        language: "py",
-        code: codes[3],
-      },
-    ];
-  }
-  return [
-    {
-      name: "cURL",
-      mode: "bash",
-      image: "https://curl.se/logo/curl-symbol-transparent.png",
-      language: "sh",
-      code: codes[0],
-    },
-    {
-      name: "Python API",
-      mode: "python",
-      image:
-        "https://images.squarespace-cdn.com/content/v1/5df3d8c5d2be5962e4f87890/1628015119369-OY4TV3XJJ53ECO0W2OLQ/Python+API+Training+Logo.png?format=1000w",
-      language: "py",
-      code: codes[1],
-    },
-    {
-      name: "Python Code",
-      mode: "python",
-      language: "py",
-      image: "https://cdn-icons-png.flaticon.com/512/5968/5968350.png",
-      code: codes[2],
-    },
-    {
-      name: "Chat Widget HTML",
-      description:
-        "Insert this code anywhere in your &lt;body&gt; tag. To use with react and other libs, check our <a class='link-color' href='https://langflow.org/guidelines/widget'>documentation</a>.",
-      mode: "html",
-      image: "https://cdn-icons-png.flaticon.com/512/5968/5968350.png",
-      language: "py",
-      code: codes[3],
-    },
-    {
-      name: "Tweaks",
-      mode: "python",
-      image: "https://cdn-icons-png.flaticon.com/512/5968/5968350.png",
-      language: "py",
-      code: codes[4],
-    },
-  ];
-}
+  // If the field is not in the MESSAGES_TABLE_ORDER, we can place it at the end.
+  const orderA = indexA === -1 ? MESSAGES_TABLE_ORDER.length : indexA;
+  const orderB = indexB === -1 ? MESSAGES_TABLE_ORDER.length : indexB;
 
-export function checkLocalStorageKey(key: string): boolean {
-  return localStorage.getItem(key) !== null;
+  return orderA - orderB;
 }
 
-export function IncrementObjectKey(
-  object: object,
-  key: string
-): { newKey: string; increment: number } {
-  let count = 1;
-  const type = removeCountFromString(key);
-  let newKey = type + " " + `(${count})`;
-  while (object[newKey]) {
-    count++;
-    newKey = type + " " + `(${count})`;
+export const logHasMessage = (
+  data: VertexDataTypeAPI,
+  outputName: string | undefined,
+) => {
+  if (!outputName) return;
+  const outputs = data?.outputs[outputName];
+  if (Array.isArray(outputs) && outputs.length > 1) {
+    return outputs.some((outputLog) => outputLog.message);
+  } else {
+    return outputs?.message;
   }
-  return { newKey, increment: count };
-}
-
-export function removeCountFromString(input: string): string {
-  // Define a regex pattern to match the count in parentheses
-  const pattern = /\s*\(\w+\)\s*$/;
-
-  // Use the `replace` method to remove the matched pattern
-  const result = input.replace(pattern, "");
-
-  return result.trim(); // Trim any leading/trailing spaces
-}
-
-export function createRandomKey(key: string, uid: string): string {
-  return removeCountFromString(key) + ` (${uid})`;
-}
-
-export function sensitiveSort(a: string, b: string): number {
-  // Extract the name and number from each string using regular expressions
-  const regex = /(.+) \((\w+)\)/;
-  const matchA = a.match(regex);
-  const matchB = b.match(regex);
-
-  if (matchA && matchB) {
-    // Compare the names alphabetically
-    const nameA = matchA[1];
-    const nameB = matchB[1];
-    if (nameA !== nameB) {
-      return nameA.localeCompare(nameB);
-    }
-
-    // If the names are the same, compare the numbers numerically
-    const numberA = parseInt(matchA[2]);
-    const numberB = parseInt(matchB[2]);
-    return numberA - numberB;
+};
+
+export const logTypeIsUnknown = (
+  data: VertexDataTypeAPI,
+  outputName: string | undefined,
+) => {
+  if (!outputName) return;
+  const outputs = data?.outputs[outputName];
+  if (Array.isArray(outputs) && outputs.length > 1) {
+    return outputs.some((outputLog) => outputLog.type === "unknown");
   } else {
-    // Handle cases where one or both strings do not match the expected pattern
-    // Simple strings are treated as pure alphabetical comparisons
-    return a.localeCompare(b);
+    return outputs?.type === "unknown";
   }
-}
-// this function is used to get the set of keys from an object
-export function getSetFromObject(obj: object, key?: string): Set<string> {
-  const set = new Set<string>();
-  if (key) {
-    for (const objKey in obj) {
-      set.add(obj[objKey][key]);
-    }
+};
+
+export const logTypeIsError = (
+  data: VertexDataTypeAPI,
+  outputName: string | undefined,
+) => {
+  if (!outputName) return;
+  const outputs = data?.outputs[outputName];
+  if (Array.isArray(outputs) && outputs.length > 1) {
+    return outputs.some((log) => isErrorLog(log));
   } else {
-    for (const key in obj) {
-      set.add(key);
-    }
+    return isErrorLog(outputs);
   }
-  return set;
-}
-
-export function getFieldTitle(
-  template: APITemplateType,
-  templateField: string
-): string {
-  return template[templateField].display_name
-    ? template[templateField].display_name!
-    : template[templateField].name
-    ? toTitleCase(template[templateField].name!)
-    : toTitleCase(templateField);
-}
+};
diff --git a/src/frontend/tailwind.config.js b/src/frontend/tailwind.config.js
deleted file mode 100644
index e9e1ecff2c9..00000000000
--- a/src/frontend/tailwind.config.js
+++ /dev/null
@@ -1,217 +0,0 @@
-/** @type {import('tailwindcss').Config} */
-const { fontFamily } = require("tailwindcss/defaultTheme");
-
-import plugin from "tailwindcss/plugin";
-
-// ! Check if removing the other module.exports made sense
-module.exports = {
-  darkMode: ["class"],
-  content: [
-    "app/**/*.{ts,tsx}",
-    "components/**/*.{ts,tsx}",
-    "./index.html",
-    "./src/**/*.{js,ts,tsx,jsx}",
-  ],
-  safelist: [
-    "bg-status-blue",
-    "bg-status-green",
-    "bg-status-red",
-    "bg-status-yellow",
-  ],
-  important: true,
-  theme: {
-    container: {
-      center: true,
-      padding: "2rem",
-      screens: {
-        "2xl": "1400px",
-      },
-    },
-    extend: {
-      colors: {
-        "component-icon": "var(--component-icon)",
-        "flow-icon": "var(--flow-icon)",
-        "low-indigo": "var(--low-indigo)",
-        "chat-send": "var(--chat-send)",
-        connection: "var(--connection)",
-        "almost-dark-gray": "var(--almost-dark-gray)",
-        "almost-light-blue": "var(--almost-light-blue)",
-        "almost-medium-blue": "var(--almost-medium-blue)",
-        "almost-medium-gray": "var(--almost-medium-gray)",
-        "almost-medium-green": "var(--almost-medium-green)",
-        "almost-medium-red": "var(--almost-medium-red)",
-        "btn-shadow": "var(--round-btn-shadow)",
-        "build-trigger": "var(--build-trigger)",
-        "chat-trigger": "var(--chat-trigger)",
-        "chat-trigger-disabled": "var(--chat-trigger-disabled)",
-        "blur-shared": "var(--blur-shared)",
-        "dark-blue": "var(--dark-blue)",
-        "dark-gray": "var(--dark-gray)",
-        "dark-red": "var(--dark-red)",
-        "error-background": "var(--error-background)",
-        "error-foreground": "var(--error-foreground)",
-        "high-dark-gray": "var(--high-dark-gray)",
-        "high-indigo": "var(--high-indigo)",
-        "high-light-gray": "var(--high-light-gray)",
-        "info-background": "var(--info-background)",
-        "info-foreground": "var(--info-foreground)",
-        "light-blue": "var(--light-blue)",
-        "light-gray": "var(--light-gray)",
-        "light-slate": "var(--light-slate)",
-        "medium-blue": "var(--medium-blue)",
-        "status-blue": "var(--status-blue)",
-        "medium-dark-gray": "var(--medium-dark-gray)",
-        "medium-dark-green": "var(--medium-dark-green)",
-        "medium-dark-red": "var(--medium-dark-red)",
-        "medium-emerald": "var(--medium-emerald)",
-        "medium-gray": "var(--medium-gray)",
-        "medium-high-indigo": "var(--medium-high-indigo)",
-        "medium-indigo": "var(--medium-indigo)",
-        "medium-low-gray": "var(--medium-low-gray)",
-        "status-green": "var(--status-green)",
-        "status-red": "var(--status-red)",
-        "status-yellow": "var(--status-yellow)",
-        "success-background": "var(--success-background)",
-        "success-foreground": "var(--success-foreground)",
-        "beta-background": "var(--beta-background)",
-        "beta-foreground": "var(--beta-foreground)",
-        "chat-bot-icon": "var(--chat-bot-icon)",
-        "chat-user-icon": "var(--chat-user-icon)",
-
-        white: "var(--white)",
-        border: "hsl(var(--border))",
-        input: "hsl(var(--input))",
-        ring: "hsl(var(--ring))",
-        background: "hsl(var(--background))",
-        foreground: "hsl(var(--foreground))",
-        primary: {
-          DEFAULT: "hsl(var(--primary))",
-          foreground: "hsl(var(--primary-foreground))",
-        },
-        secondary: {
-          DEFAULT: "hsl(var(--secondary))",
-          foreground: "hsl(var(--secondary-foreground))",
-        },
-        destructive: {
-          DEFAULT: "hsl(var(--destructive))",
-          foreground: "hsl(var(--destructive-foreground))",
-        },
-        muted: {
-          DEFAULT: "hsl(var(--muted))",
-          foreground: "hsl(var(--muted-foreground))",
-        },
-        accent: {
-          DEFAULT: "hsl(var(--accent))",
-          foreground: "hsl(var(--accent-foreground))",
-        },
-        popover: {
-          DEFAULT: "hsl(var(--popover))",
-          foreground: "hsl(var(--popover-foreground))",
-        },
-        card: {
-          DEFAULT: "hsl(var(--card))",
-          foreground: "hsl(var(--card-foreground))",
-        },
-      },
-      borderRadius: {
-        lg: `var(--radius)`,
-        md: `calc(var(--radius) - 2px)`,
-        sm: "calc(var(--radius) - 4px)",
-      },
-      fontFamily: {
-        sans: ["var(--font-sans)", ...fontFamily.sans],
-      },
-    },
-  },
-
-  plugins: [
-    require("tailwindcss-animate"),
-    require("@tailwindcss/forms")({
-      strategy: "class", // only generate classes
-    }),
-    plugin(function ({ addUtilities }) {
-      addUtilities({
-        ".scrollbar-hide": {
-          /* IE and Edge */
-          "-ms-overflow-style": "none",
-          /* Firefox */
-          "scrollbar-width": "none",
-          /* Safari and Chrome */
-          "&::-webkit-scrollbar": {
-            display: "none",
-          },
-        },
-        ".truncate-multiline": {
-          display: "-webkit-box",
-          "-webkit-line-clamp":
-            "3" /* Change this number to the number of lines you want to show */,
-          "-webkit-box-orient": "vertical",
-          overflow: "hidden",
-          "text-overflow": "ellipsis",
-        },
-        ".truncate-doubleline": {
-          display: "-webkit-box",
-          "-webkit-line-clamp":
-            "2" /* Change this number to the number of lines you want to show */,
-          "-webkit-box-orient": "vertical",
-          overflow: "hidden",
-          "text-overflow": "ellipsis",
-        },
-        ".word-break-break-word": {
-          wordBreak: "break-word",
-        },
-        ".arrow-hide": {
-          "&::-webkit-inner-spin-button": {
-            "-webkit-appearance": "none",
-            margin: 0,
-          },
-          "&::-webkit-outer-spin-button": {
-            "-webkit-appearance": "none",
-            margin: 0,
-          },
-        },
-        ".password": {
-          "-webkit-text-security": "disc",
-          "font-family": "text-security-disc",
-        },
-        ".stop": {
-          "-webkit-animation-play-state": "paused",
-          "-moz-animation-play-state": "paused",
-          "animation-play-state": "paused",
-        },
-        ".custom-scroll": {
-          "&::-webkit-scrollbar": {
-            width: "8px",
-            height: "8px",
-          },
-          "&::-webkit-scrollbar-track": {
-            backgroundColor: "#f1f1f1",
-          },
-          "&::-webkit-scrollbar-thumb": {
-            backgroundColor: "#ccc",
-            borderRadius: "999px",
-          },
-          "&::-webkit-scrollbar-thumb:hover": {
-            backgroundColor: "#bbb",
-          },
-          cursor: "auto",
-        },
-        ".dark .theme-attribution .react-flow__attribution": {
-          backgroundColor: "rgba(255, 255, 255, 0.2)",
-          padding: "0px 5px",
-        },
-        ".dark .theme-attribution .react-flow__attribution a": {
-          color: "black",
-        },
-        ".text-align-last-left": {
-          "text-align-last": "left",
-        },
-        ".text-align-last-right": {
-          "text-align-last": "right",
-        },
-      });
-    }),
-    require("@tailwindcss/typography"),
-    require("daisyui"),
-  ],
-};
diff --git a/src/frontend/tailwind.config.mjs b/src/frontend/tailwind.config.mjs
new file mode 100644
index 00000000000..2fd7cb24a83
--- /dev/null
+++ b/src/frontend/tailwind.config.mjs
@@ -0,0 +1,257 @@
+/** @type {import('tailwindcss').Config} */
+import { fontFamily } from "tailwindcss/defaultTheme";
+import tailwindcssForms from "@tailwindcss/forms";
+import tailwindcssAnimate from "tailwindcss-animate";
+import tailwindcssTypography from "@tailwindcss/typography";
+import tailwindcssDottedBackground from "tailwindcss-dotted-background";
+
+import plugin from "tailwindcss/plugin";
+
+const config = {
+  variants: {
+    extend: {
+      display: ["group-hover"],
+    },
+  },
+  darkMode: ["class"],
+  content: [
+    "app/**/*.{ts,tsx}",
+    "components/**/*.{ts,tsx}",
+    "./index.html",
+    "./src/**/*.{js,ts,tsx,jsx}",
+  ],
+  safelist: [
+    "bg-status-blue",
+    "bg-status-green",
+    "bg-status-red",
+    "bg-status-yellow",
+  ],
+  important: true,
+  theme: {
+    container: {
+      center: true,
+      padding: "2rem",
+      screens: {
+        "2xl": "1400px",
+      },
+    },
+    extend: {
+      keyframes: {
+        wiggle: {
+          "0%, 100%": { transform: "scale(100%)" },
+          "50%": { transform: "scale(120%)" },
+        },
+      },
+      animation: {
+        wiggle: "wiggle 150ms ease-in-out 1",
+        "slow-wiggle": "wiggle 500ms ease-in-out 1",
+      },
+      colors: {
+        "frozen-blue": "rgba(128, 190, 219, 0.86)", // Custom blue color for the frozen effect
+        "frosted-glass": "rgba(255, 255, 255, 0.8)", // Custom frosted glass effect
+        "component-icon": "var(--component-icon)",
+        "flow-icon": "var(--flow-icon)",
+        "low-indigo": "var(--low-indigo)",
+        "chat-send": "var(--chat-send)",
+        connection: "var(--connection)",
+        "almost-dark-gray": "var(--almost-dark-gray)",
+        "almost-light-blue": "var(--almost-light-blue)",
+        "almost-medium-gray": "var(--almost-medium-gray)",
+        "almost-medium-green": "var(--almost-medium-green)",
+        "almost-medium-red": "var(--almost-medium-red)",
+        "btn-shadow": "var(--round-btn-shadow)",
+        "build-trigger": "var(--build-trigger)",
+        "chat-trigger": "var(--chat-trigger)",
+        "chat-trigger-disabled": "var(--chat-trigger-disabled)",
+        "blur-shared": "var(--blur-shared)",
+        "dark-blue": "var(--dark-blue)",
+        "dark-gray": "var(--dark-gray)",
+        "dark-red": "var(--dark-red)",
+        error: {
+          DEFAULT: "var(--error)",
+          background: "var(--error-background)",
+          foreground: "var(--error-foreground)",
+        },
+        "high-dark-gray": "var(--high-dark-gray)",
+        "high-indigo": "var(--high-indigo)",
+        "high-light-gray": "var(--high-light-gray)",
+        "info-background": "var(--info-background)",
+        "info-foreground": "var(--info-foreground)",
+        "light-blue": "var(--light-blue)",
+        "light-gray": "var(--light-gray)",
+        "light-slate": "var(--light-slate)",
+        "medium-blue": "var(--medium-blue)",
+        "status-blue": "var(--status-blue)",
+        "medium-dark-gray": "var(--medium-dark-gray)",
+        "medium-dark-green": "var(--medium-dark-green)",
+        "medium-dark-red": "var(--medium-dark-red)",
+        "medium-emerald": "var(--medium-emerald)",
+        "medium-gray": "var(--medium-gray)",
+        "medium-high-indigo": "var(--medium-high-indigo)",
+        "medium-indigo": "var(--medium-indigo)",
+        "medium-low-gray": "var(--medium-low-gray)",
+        "status-green": "var(--status-green)",
+        "status-red": "var(--status-red)",
+        "status-yellow": "var(--status-yellow)",
+        "status-gray": "var(--status-gray)",
+        "success-background": "var(--success-background)",
+        "success-foreground": "var(--success-foreground)",
+        "beta-background": "var(--beta-background)",
+        "beta-foreground": "var(--beta-foreground)",
+        "beta-foreground-soft": "var(--beta-foreground-soft)",
+        "chat-bot-icon": "var(--chat-bot-icon)",
+        "chat-user-icon": "var(--chat-user-icon)",
+        ice: "var(--ice)",
+        selected: "var(--selected)",
+        hover: "var(--hover)",
+        white: "var(--white)",
+        border: "hsl(var(--border))",
+        input: "hsl(var(--input))",
+        ring: "hsl(var(--ring))",
+        background: "hsl(var(--background))",
+        foreground: "hsl(var(--foreground))",
+        primary: {
+          DEFAULT: "hsl(var(--primary))",
+          foreground: "hsl(var(--primary-foreground))",
+        },
+        secondary: {
+          DEFAULT: "hsl(var(--secondary))",
+          foreground: "hsl(var(--secondary-foreground))",
+        },
+        destructive: {
+          DEFAULT: "hsl(var(--destructive))",
+          foreground: "hsl(var(--destructive-foreground))",
+        },
+        muted: {
+          DEFAULT: "hsl(var(--muted))",
+          foreground: "hsl(var(--muted-foreground))",
+        },
+        accent: {
+          DEFAULT: "hsl(var(--accent))",
+          foreground: "hsl(var(--accent-foreground))",
+        },
+        popover: {
+          DEFAULT: "hsl(var(--popover))",
+          foreground: "hsl(var(--popover-foreground))",
+        },
+        card: {
+          DEFAULT: "hsl(var(--card))",
+          foreground: "hsl(var(--card-foreground))",
+        },
+      },
+      borderRadius: {
+        lg: `var(--radius)`,
+        md: `calc(var(--radius) - 2px)`,
+        sm: "calc(var(--radius) - 4px)",
+      },
+      fontFamily: {
+        sans: ["var(--font-sans)", ...fontFamily.sans],
+      },
+      boxShadow: {
+        "frozen-ring": "0 0 10px 2px rgba(128, 190, 230, 0.5)",
+        node: "0 0px 15px -3px rgb(0 0 0 / 0.1), 0 0px 6px -4px rgb(0 0 0 / 0.1);",
+        "frosted-ring": "0 0 10px 2px rgba(128, 190, 230, 0.7)",
+      },
+      backdropBlur: {
+        xs: "2px",
+      },
+    },
+  },
+
+  plugins: [
+    tailwindcssAnimate,
+    tailwindcssForms({
+      strategy: "class", // only generate classes
+    }),
+    plugin(function ({ addUtilities }) {
+      addUtilities({
+        ".scrollbar-hide": {
+          /* IE and Edge */
+          "-ms-overflow-style": "none",
+          /* Firefox */
+          "scrollbar-width": "none",
+          /* Safari and Chrome */
+          "&::-webkit-scrollbar": {
+            display: "none",
+          },
+        },
+        ".truncate-multiline": {
+          display: "-webkit-box",
+          "-webkit-line-clamp":
+            "3" /* Change this number to the number of lines you want to show */,
+          "-webkit-box-orient": "vertical",
+          overflow: "hidden",
+          "text-overflow": "ellipsis",
+        },
+        ".truncate-doubleline": {
+          display: "-webkit-box",
+          "-webkit-line-clamp":
+            "2" /* Change this number to the number of lines you want to show */,
+          "-webkit-box-orient": "vertical",
+          overflow: "hidden",
+          "text-overflow": "ellipsis",
+        },
+        ".word-break-break-word": {
+          wordBreak: "break-word",
+        },
+        ".arrow-hide": {
+          "&::-webkit-inner-spin-button": {
+            "-webkit-appearance": "none",
+            margin: 0,
+          },
+          "&::-webkit-outer-spin-button": {
+            "-webkit-appearance": "none",
+            margin: 0,
+          },
+        },
+        ".password": {
+          "-webkit-text-security": "disc",
+          "font-family": "text-security-disc",
+        },
+        ".stop": {
+          "-webkit-animation-play-state": "paused",
+          "-moz-animation-play-state": "paused",
+          "animation-play-state": "paused",
+        },
+        ".custom-scroll": {
+          "&::-webkit-scrollbar": {
+            width: "8px",
+            height: "8px",
+          },
+          "&::-webkit-scrollbar-track": {
+            backgroundColor: "hsl(var(--muted))",
+          },
+          "&::-webkit-scrollbar-thumb": {
+            backgroundColor: "hsl(var(--border))",
+            borderRadius: "999px",
+          },
+          "&::-webkit-scrollbar-thumb:hover": {
+            backgroundColor: "hsl(var(--ring))",
+          },
+          cursor: "auto",
+        },
+        ".dark .theme-attribution .react-flow__attribution": {
+          backgroundColor: "rgba(255, 255, 255, 0.2)",
+          padding: "0px 5px",
+        },
+        ".dark .theme-attribution .react-flow__attribution a": {
+          color: "black",
+        },
+        ".text-align-last-left": {
+          "text-align-last": "left",
+        },
+        ".text-align-last-right": {
+          "text-align-last": "right",
+        },
+        ":focus-visible": {
+          outline: "none  !important",
+          outlineOffset: "0px !important",
+        },
+      });
+    }),
+    tailwindcssTypography,
+    tailwindcssDottedBackground,
+  ],
+};
+
+export default config;
\ No newline at end of file
diff --git a/src/frontend/tests/custom_component_full.ts b/src/frontend/tests/custom_component_full.ts
index c38d7ff061a..6391b2094ca 100644
--- a/src/frontend/tests/custom_component_full.ts
+++ b/src/frontend/tests/custom_component_full.ts
@@ -1,6 +1,6 @@
-export const custom = `from langflow import CustomComponent
+export const custom = `from langflow.custom import CustomComponent
 
-from langchain.llms.base import BaseLLM
+from langflow.field_typing import BaseLanguageModel
 from langchain.chains import LLMChain
 from langchain.prompts import PromptTemplate
 from langchain_core.documents import Document
@@ -15,6 +15,6 @@ class YourComponent(CustomComponent):
     def build_config(self):
         return { "file": { "file_type": ["json"], } }
 
-    def build(self, url: str,file:str,integer:int,nested:NestedDict,flt:float,boolean:bool,lisst:list[str],dictionary:dict, llm: BaseLLM, prompt: PromptTemplate) -> Document:
+    def build(self, url: str,file:str,integer:int,nested:NestedDict,flt:float,boolean:bool,lisst:list[str],dictionary:dict, llm: BaseLanguageModel, prompt: PromptTemplate) -> Document:
 
         return "test"`;
diff --git a/src/frontend/tests/end-to-end/actionsMainPage.spec.ts b/src/frontend/tests/end-to-end/actionsMainPage.spec.ts
new file mode 100644
index 00000000000..d14feb50aee
--- /dev/null
+++ b/src/frontend/tests/end-to-end/actionsMainPage.spec.ts
@@ -0,0 +1,260 @@
+import { test } from "@playwright/test";
+
+test("select and delete all", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+  await page.getByRole("heading", { name: "Basic Prompting" }).click();
+
+  await page.getByTestId("icon-ChevronLeft").first().click();
+
+  await page.getByText("Select All").click();
+  await page.getByText("Unselect All").isVisible();
+  await page.getByTestId("icon-Trash2").click();
+  await page.getByText("Delete").last().click();
+
+  await page.waitForTimeout(1000);
+  await page.getByText("Selected items deleted successfully").isVisible();
+});
+
+test("search flows", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+  await page.getByRole("heading", { name: "Basic Prompting" }).click();
+
+  await page.getByTestId("icon-ChevronLeft").first().click();
+
+  await page.getByText("Select All").isVisible();
+  await page.getByText("New Project", { exact: true }).click();
+  await page.getByRole("heading", { name: "Memory Chatbot" }).click();
+  await page.getByTestId("icon-ChevronLeft").first().click();
+  await page.getByText("New Project", { exact: true }).click();
+  await page.getByRole("heading", { name: "Document QA" }).click();
+  await page.getByTestId("icon-ChevronLeft").first().click();
+  await page.getByPlaceholder("Search flows").fill("Memory Chatbot");
+  await page.getByText("Memory Chatbot", { exact: true }).isVisible();
+  await page.getByText("Document QA", { exact: true }).isHidden();
+  await page.getByText("Basic Prompting", { exact: true }).isHidden();
+});
+
+test("search components", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+  await page.getByRole("heading", { name: "Basic Prompting" }).click();
+
+  await page.getByTitle("fit view").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+
+  await page.getByText("Chat Input").first().click();
+  await page.getByTestId("more-options-modal").click();
+
+  await page.getByTestId("icon-SaveAll").first().click();
+  await page.keyboard.press("Escape");
+  await page
+    .getByText("Prompt", {
+      exact: true,
+    })
+    .first()
+    .click();
+  await page.getByTestId("more-options-modal").click();
+
+  await page.getByTestId("icon-SaveAll").first().click();
+  await page.keyboard.press("Escape");
+
+  await page
+    .getByText("OpenAI", {
+      exact: true,
+    })
+    .first()
+    .click();
+  await page.getByTestId("more-options-modal").click();
+
+  await page.getByTestId("icon-SaveAll").first().click();
+  await page.keyboard.press("Escape");
+  await page.getByTestId("icon-ChevronLeft").first().click();
+
+  await page
+    .getByText("Components", {
+      exact: true,
+    })
+    .click();
+
+  await page.getByPlaceholder("Search components").fill("Chat Input");
+  await page.getByText("Chat Input", { exact: true }).isVisible();
+  await page.getByText("Prompt", { exact: true }).isHidden();
+  await page.getByText("OpenAI", { exact: true }).isHidden();
+});
+
+test("user should be able to download a flow or a component", async ({
+  page,
+}) => {
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+
+  await page.getByRole("heading", { name: "Basic Prompting" }).click();
+  await page.getByTitle("fit view").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+
+  await page.getByText("Chat Input", { exact: true }).click();
+  await page.getByTestId("more-options-modal").click();
+
+  await page.getByTestId("icon-SaveAll").first().click();
+  await page.waitForTimeout(3000);
+
+  if (await page.getByTestId("replace-button").isVisible()) {
+    await page.getByTestId("replace-button").click();
+  }
+  await page.waitForTimeout(3000);
+
+  await page.getByTestId("icon-ChevronLeft").last().click();
+  await page.getByRole("checkbox").nth(1).click();
+  await page.getByTestId("icon-FileDown").last().click();
+  await page.waitForTimeout(1000);
+  await page.getByText("Items exported successfully").isVisible();
+
+  await page.getByText("Flows", { exact: true }).click();
+  await page.getByRole("checkbox").nth(1).click();
+  await page.getByTestId("icon-FileDown").last().click();
+  await page.waitForTimeout(1000);
+  await page.getByText("Items exported successfully").isVisible();
+
+  await page.getByText("Components", { exact: true }).click();
+  await page.getByRole("checkbox").nth(1).click();
+  await page.getByTestId("icon-FileDown").last().click();
+  await page.waitForTimeout(1000);
+  await page.getByText("Components exported successfully").isVisible();
+});
+
+test("user should be able to upload a flow or a component", async ({
+  page,
+}) => {
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  await page.getByTestId("upload-folder-button").last().click();
+});
+
+test("user should be able to duplicate a flow or a component", async ({
+  page,
+}) => {
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+
+  await page.getByRole("heading", { name: "Basic Prompting" }).click();
+
+  await page.getByTitle("fit view").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+
+  await page.getByText("Chat Input", { exact: true }).click();
+  await page.getByTestId("more-options-modal").click();
+
+  await page.getByTestId("icon-SaveAll").first().click();
+  await page.waitForTimeout(3000);
+
+  if (await page.getByTestId("replace-button").isVisible()) {
+    await page.getByTestId("replace-button").click();
+  }
+  await page.waitForTimeout(3000);
+
+  await page.getByTestId("icon-ChevronLeft").last().click();
+  await page.getByRole("checkbox").nth(1).click();
+
+  await page.getByTestId("icon-Copy").last().click();
+  await page.waitForTimeout(1000);
+  await page.getByText("Items duplicated successfully").isVisible();
+});
diff --git a/src/frontend/tests/end-to-end/assets/ChatTest.json b/src/frontend/tests/end-to-end/assets/ChatTest.json
new file mode 100644
index 00000000000..045d0cddf05
--- /dev/null
+++ b/src/frontend/tests/end-to-end/assets/ChatTest.json
@@ -0,0 +1,374 @@
+{
+  "id": "9fd63190-2688-4c9f-9f6a-f48e8a4a3bff",
+  "data": {
+    "nodes": [
+      {
+        "id": "ChatOutput-xPeM1",
+        "type": "genericNode",
+        "position": {
+          "x": 231.45405028405742,
+          "y": -109.00715949940081
+        },
+        "data": {
+          "type": "ChatOutput",
+          "node": {
+            "template": {
+              "code": {
+                "type": "code",
+                "required": true,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": true,
+                "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n    display_name = \"Chat Output\"\n    description = \"Display a chat message in the Playground.\"\n    icon = \"ChatOutput\"\n\n    def build(\n        self,\n        sender: Optional[str] = \"Machine\",\n        sender_name: Optional[str] = \"AI\",\n        input_value: Optional[str] = None,\n        session_id: Optional[str] = None,\n        return_record: Optional[bool] = False,\n        record_template: Optional[str] = \"{text}\",\n    ) -> Union[Text, Record]:\n        return super().build_with_record(\n            sender=sender,\n            sender_name=sender_name,\n            input_value=input_value,\n            session_id=session_id,\n            return_record=return_record,\n            record_template=record_template or \"\",\n        )\n",
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "code",
+                "advanced": true,
+                "dynamic": true,
+                "info": "",
+                "load_from_db": false,
+                "title_case": false
+              },
+              "input_value": {
+                "type": "str",
+                "required": false,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": true,
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "input_value",
+                "display_name": "Message",
+                "advanced": false,
+                "input_types": ["Text"],
+                "dynamic": false,
+                "info": "",
+                "load_from_db": false,
+                "title_case": false
+              },
+              "record_template": {
+                "type": "str",
+                "required": false,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": true,
+                "value": "{text}",
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "record_template",
+                "display_name": "Record Template",
+                "advanced": true,
+                "dynamic": false,
+                "info": "In case of Message being a Record, this template will be used to convert it to text.",
+                "load_from_db": false,
+                "title_case": false,
+                "input_types": ["Text"]
+              },
+              "return_record": {
+                "type": "bool",
+                "required": false,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": false,
+                "value": false,
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "return_record",
+                "display_name": "Return Record",
+                "advanced": true,
+                "dynamic": false,
+                "info": "Return the message as a record containing the sender, sender_name, and session_id.",
+                "load_from_db": false,
+                "title_case": false
+              },
+              "sender": {
+                "type": "str",
+                "required": false,
+                "placeholder": "",
+                "list": true,
+                "show": true,
+                "multiline": false,
+                "value": "Machine",
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "options": ["Machine", "User"],
+                "name": "sender",
+                "display_name": "Sender Type",
+                "advanced": true,
+                "dynamic": false,
+                "info": "",
+                "load_from_db": false,
+                "title_case": false,
+                "input_types": ["Text"]
+              },
+              "sender_name": {
+                "type": "str",
+                "required": false,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": false,
+                "value": "AI",
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "sender_name",
+                "display_name": "Sender Name",
+                "advanced": false,
+                "dynamic": false,
+                "info": "",
+                "load_from_db": false,
+                "title_case": false,
+                "input_types": ["Text"]
+              },
+              "session_id": {
+                "type": "str",
+                "required": false,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": false,
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "session_id",
+                "display_name": "Session ID",
+                "advanced": true,
+                "dynamic": false,
+                "info": "If provided, the message will be stored in the memory.",
+                "load_from_db": false,
+                "title_case": false,
+                "input_types": ["Text"]
+              },
+              "_type": "CustomComponent"
+            },
+            "description": "Display a chat message in the Playground.",
+            "icon": "ChatOutput",
+            "base_classes": ["object", "Record", "str", "Text"],
+            "display_name": "Chat Output",
+            "documentation": "",
+            "custom_fields": {
+              "sender": null,
+              "sender_name": null,
+              "input_value": null,
+              "session_id": null,
+              "return_record": null,
+              "record_template": null
+            },
+            "output_types": ["Text", "Record"],
+            "field_formatters": {},
+            "frozen": false,
+            "field_order": [],
+            "beta": false
+          },
+          "id": "ChatOutput-xPeM1"
+        },
+        "selected": false,
+        "width": 384,
+        "height": 383,
+        "positionAbsolute": {
+          "x": 231.45405028405742,
+          "y": -109.00715949940081
+        },
+        "dragging": false
+      },
+      {
+        "id": "ChatInput-XYvUc",
+        "type": "genericNode",
+        "position": {
+          "x": -389.67919096408036,
+          "y": 10.79598792234681
+        },
+        "data": {
+          "type": "ChatInput",
+          "node": {
+            "template": {
+              "code": {
+                "type": "code",
+                "required": true,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": true,
+                "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n    display_name = \"Chat Input\"\n    description = \"Get chat inputs from the Playground.\"\n    icon = \"ChatInput\"\n\n    def build_config(self):\n        build_config = super().build_config()\n        build_config[\"input_value\"] = {\n            \"input_types\": [],\n            \"display_name\": \"Message\",\n            \"multiline\": True,\n        }\n\n        return build_config\n\n    def build(\n        self,\n        sender: Optional[str] = \"User\",\n        sender_name: Optional[str] = \"User\",\n        input_value: Optional[str] = None,\n        session_id: Optional[str] = None,\n        return_record: Optional[bool] = False,\n    ) -> Union[Text, Record]:\n        return super().build_no_record(\n            sender=sender,\n            sender_name=sender_name,\n            input_value=input_value,\n            session_id=session_id,\n            return_record=return_record,\n        )\n",
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "code",
+                "advanced": true,
+                "dynamic": true,
+                "info": "",
+                "load_from_db": false,
+                "title_case": false
+              },
+              "input_value": {
+                "type": "str",
+                "required": false,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": true,
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "input_value",
+                "display_name": "Message",
+                "advanced": false,
+                "input_types": [],
+                "dynamic": false,
+                "info": "",
+                "load_from_db": false,
+                "title_case": false
+              },
+              "return_record": {
+                "type": "bool",
+                "required": false,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": false,
+                "value": false,
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "return_record",
+                "display_name": "Return Record",
+                "advanced": true,
+                "dynamic": false,
+                "info": "Return the message as a record containing the sender, sender_name, and session_id.",
+                "load_from_db": false,
+                "title_case": false
+              },
+              "sender": {
+                "type": "str",
+                "required": false,
+                "placeholder": "",
+                "list": true,
+                "show": true,
+                "multiline": false,
+                "value": "User",
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "options": ["Machine", "User"],
+                "name": "sender",
+                "display_name": "Sender Type",
+                "advanced": true,
+                "dynamic": false,
+                "info": "",
+                "load_from_db": false,
+                "title_case": false,
+                "input_types": ["Text"]
+              },
+              "sender_name": {
+                "type": "str",
+                "required": false,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": false,
+                "value": "User",
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "sender_name",
+                "display_name": "Sender Name",
+                "advanced": false,
+                "dynamic": false,
+                "info": "",
+                "load_from_db": false,
+                "title_case": false,
+                "input_types": ["Text"]
+              },
+              "session_id": {
+                "type": "str",
+                "required": false,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": false,
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "session_id",
+                "display_name": "Session ID",
+                "advanced": true,
+                "dynamic": false,
+                "info": "If provided, the message will be stored in the memory.",
+                "load_from_db": false,
+                "title_case": false,
+                "input_types": ["Text"]
+              },
+              "_type": "CustomComponent"
+            },
+            "description": "Get chat inputs from the Playground.",
+            "icon": "ChatInput",
+            "base_classes": ["object", "Record", "str", "Text"],
+            "display_name": "Chat Input",
+            "documentation": "",
+            "custom_fields": {
+              "sender": null,
+              "sender_name": null,
+              "input_value": null,
+              "session_id": null,
+              "return_record": null
+            },
+            "output_types": ["Text", "Record"],
+            "field_formatters": {},
+            "frozen": false,
+            "field_order": [],
+            "beta": false
+          },
+          "id": "ChatInput-XYvUc"
+        },
+        "selected": false,
+        "width": 384,
+        "height": 375
+      }
+    ],
+    "edges": [
+      {
+        "source": "ChatInput-XYvUc",
+        "sourceHandle": "{œbaseClassesœ:[œobjectœ,œRecordœ,œstrœ,œTextœ],œdataTypeœ:œChatInputœ,œidœ:œChatInput-XYvUcœ}",
+        "target": "ChatOutput-xPeM1",
+        "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-xPeM1œ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
+        "data": {
+          "targetHandle": {
+            "fieldName": "input_value",
+            "id": "ChatOutput-xPeM1",
+            "inputTypes": ["Text"],
+            "type": "str"
+          },
+          "sourceHandle": {
+            "baseClasses": ["object", "Record", "str", "Text"],
+            "dataType": "ChatInput",
+            "id": "ChatInput-XYvUc"
+          }
+        },
+        "style": {
+          "stroke": "#555"
+        },
+        "className": "stroke-gray-900 stroke-connection",
+        "id": "reactflow__edge-ChatInput-XYvUc{œbaseClassesœ:[œobjectœ,œRecordœ,œstrœ,œTextœ],œdataTypeœ:œChatInputœ,œidœ:œChatInput-XYvUcœ}-ChatOutput-xPeM1{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-xPeM1œ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}"
+      }
+    ],
+    "viewport": {
+      "x": 659.7078595480464,
+      "y": 328.05200504526294,
+      "zoom": 0.64075547800662
+    }
+  },
+  "description": "Unravel the Art of Articulation.",
+  "name": "ChatTest",
+  "last_tested_version": "1.0.0a14",
+  "is_component": false
+}
diff --git a/src/frontend/tests/end-to-end/assets/chain.png b/src/frontend/tests/end-to-end/assets/chain.png
new file mode 100644
index 00000000000..136c4c83582
Binary files /dev/null and b/src/frontend/tests/end-to-end/assets/chain.png differ
diff --git a/src/frontend/tests/onlyFront/assets/collection.json b/src/frontend/tests/end-to-end/assets/collection.json
similarity index 88%
rename from src/frontend/tests/onlyFront/assets/collection.json
rename to src/frontend/tests/end-to-end/assets/collection.json
index 3872089d0bf..269afc8c947 100644
--- a/src/frontend/tests/onlyFront/assets/collection.json
+++ b/src/frontend/tests/end-to-end/assets/collection.json
@@ -10,7 +10,10 @@
             "height": 631,
             "id": "ChatOpenAI-Hz56M",
             "type": "genericNode",
-            "position": { "x": 543.1816229116944, "y": 942.891611351432 },
+            "position": {
+              "x": 543.1816229116944,
+              "y": 942.891611351432
+            },
             "data": {
               "type": "ChatOpenAI",
               "node": {
@@ -238,7 +241,10 @@
             "height": 387,
             "id": "AgentInitializer-QiQ4x",
             "type": "genericNode",
-            "position": { "x": 1036.6064439140812, "y": 645.1919693466587 },
+            "position": {
+              "x": 1036.6064439140812,
+              "y": 645.1919693466587
+            },
             "data": {
               "type": "AgentInitializer",
               "node": {
@@ -316,7 +322,10 @@
             "height": 437,
             "id": "PythonFunctionTool-kX99N",
             "type": "genericNode",
-            "position": { "x": 553.050119331742, "y": 412.9533535948685 },
+            "position": {
+              "x": 553.050119331742,
+              "y": 412.9533535948685
+            },
             "data": {
               "type": "PythonFunctionTool",
               "node": {
@@ -380,7 +389,9 @@
             "sourceHandle": "{œbaseClassesœ:[œSerializableœ,œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-Hz56Mœ}",
             "target": "AgentInitializer-QiQ4x",
             "targetHandle": "{œfieldNameœ:œllmœ,œidœ:œAgentInitializer-QiQ4xœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}",
-            "style": { "stroke": "#555" },
+            "style": {
+              "stroke": "#555"
+            },
             "className": "stroke-gray-900  stroke-connection",
             "animated": false,
             "id": "reactflow__edge-ChatOpenAI-Hz56M{œbaseClassesœ:[œSerializableœ,œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-Hz56Mœ}-AgentInitializer-QiQ4x{œfieldNameœ:œllmœ,œidœ:œAgentInitializer-QiQ4xœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}",
@@ -409,7 +420,9 @@
             "sourceHandle": "{œbaseClassesœ:[œToolœ],œdataTypeœ:œPythonFunctionToolœ,œidœ:œPythonFunctionTool-kX99Nœ}",
             "target": "AgentInitializer-QiQ4x",
             "targetHandle": "{œfieldNameœ:œtoolsœ,œidœ:œAgentInitializer-QiQ4xœ,œinputTypesœ:null,œtypeœ:œToolœ}",
-            "style": { "stroke": "#555" },
+            "style": {
+              "stroke": "#555"
+            },
             "className": "stroke-gray-900  stroke-connection",
             "animated": false,
             "id": "reactflow__edge-PythonFunctionTool-kX99N{œbaseClassesœ:[œToolœ],œdataTypeœ:œPythonFunctionToolœ,œidœ:œPythonFunctionTool-kX99Nœ}-AgentInitializer-QiQ4x{œfieldNameœ:œtoolsœ,œidœ:œAgentInitializer-QiQ4xœ,œinputTypesœ:null,œtypeœ:œToolœ}",
@@ -446,7 +459,10 @@
           {
             "id": "CustomComponent-w4WCp",
             "type": "genericNode",
-            "position": { "x": 536, "y": 337 },
+            "position": {
+              "x": 536,
+              "y": 337
+            },
             "data": {
               "type": "CustomComponent",
               "node": {
@@ -456,7 +472,7 @@
                     "placeholder": "",
                     "show": true,
                     "multiline": true,
-                    "value": "from langflow import CustomComponent\n\nfrom langchain.llms.base import BaseLLM\nfrom langchain.chains import LLMChain\nfrom langchain.prompts import PromptTemplate\nfrom langchain.schema import Document\n\nimport requests\n\nclass YourComponent(CustomComponent):\n    display_name: str = \"Custom Component\"\n    description: str = \"Create any custom component you want!\"\n\n    def build_config(self):\n        return { \"url\": { \"multiline\": True, \"required\": True } }\n\n    def build(self, url: str, llm: BaseLLM, prompt: PromptTemplate) -> Document:\n        response = requests.get(url)\n        chain = LLMChain(llm=llm, prompt=prompt)\n        result = chain.run(response.text[:300])\n        return Document(page_content=str(result))\n",
+                    "value": "from langflow.custom import CustomComponent\n\nfrom langchain.llms.base import BaseLLM\nfrom langchain.chains import LLMChain\nfrom langchain.prompts import PromptTemplate\nfrom langchain.schema import Document\n\nimport requests\n\nclass YourComponent(CustomComponent):\n    display_name: str = \"Custom Component\"\n    description: str = \"Create any custom component you want!\"\n\n    def build_config(self):\n        return { \"url\": { \"multiline\": True, \"required\": True } }\n\n    def build(self, url: str, llm: BaseLLM, prompt: PromptTemplate) -> Document:\n        response = requests.get(url)\n        chain = LLMChain(llm=llm, prompt=prompt)\n        result = chain.run(response.text[:300])\n        return Document(page_content=str(result))\n",
                     "password": false,
                     "name": "code",
                     "advanced": false,
@@ -478,11 +494,18 @@
               },
               "id": "CustomComponent-w4WCp"
             },
-            "positionAbsolute": { "x": 536, "y": 337 }
+            "positionAbsolute": {
+              "x": 536,
+              "y": 337
+            }
           }
         ],
         "edges": [],
-        "viewport": { "x": 0, "y": 0, "zoom": 1 }
+        "viewport": {
+          "x": 0,
+          "y": 0,
+          "zoom": 1
+        }
       },
       "id": "e43cf2c8-cd64-4936-8170-b207a8b109c4",
       "user_id": "6f6ebc2c-9e7a-4c35-84fc-51760db10d9b"
@@ -497,7 +520,10 @@
             "height": 631,
             "id": "ChatOpenAI-7GFF0",
             "type": "genericNode",
-            "position": { "x": 543.1816229116944, "y": 942.891611351432 },
+            "position": {
+              "x": 543.1816229116944,
+              "y": 942.891611351432
+            },
             "data": {
               "type": "ChatOpenAI",
               "node": {
@@ -725,7 +751,10 @@
             "height": 387,
             "id": "AgentInitializer-YJgqs",
             "type": "genericNode",
-            "position": { "x": 1036.6064439140812, "y": 645.1919693466587 },
+            "position": {
+              "x": 1036.6064439140812,
+              "y": 645.1919693466587
+            },
             "data": {
               "type": "AgentInitializer",
               "node": {
@@ -803,7 +832,10 @@
             "height": 437,
             "id": "PythonFunctionTool-gqQDg",
             "type": "genericNode",
-            "position": { "x": 553.050119331742, "y": 412.9533535948685 },
+            "position": {
+              "x": 553.050119331742,
+              "y": 412.9533535948685
+            },
             "data": {
               "type": "PythonFunctionTool",
               "node": {
@@ -867,7 +899,9 @@
             "sourceHandle": "{œbaseClassesœ:[œSerializableœ,œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-7GFF0œ}",
             "target": "AgentInitializer-YJgqs",
             "targetHandle": "{œfieldNameœ:œllmœ,œidœ:œAgentInitializer-YJgqsœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}",
-            "style": { "stroke": "#555" },
+            "style": {
+              "stroke": "#555"
+            },
             "className": "stroke-gray-900  stroke-connection",
             "animated": false,
             "id": "reactflow__edge-ChatOpenAI-7GFF0{œbaseClassesœ:[œSerializableœ,œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-7GFF0œ}-AgentInitializer-YJgqs{œfieldNameœ:œllmœ,œidœ:œAgentInitializer-YJgqsœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}",
@@ -896,7 +930,9 @@
             "sourceHandle": "{œbaseClassesœ:[œToolœ],œdataTypeœ:œPythonFunctionToolœ,œidœ:œPythonFunctionTool-gqQDgœ}",
             "target": "AgentInitializer-YJgqs",
             "targetHandle": "{œfieldNameœ:œtoolsœ,œidœ:œAgentInitializer-YJgqsœ,œinputTypesœ:null,œtypeœ:œToolœ}",
-            "style": { "stroke": "#555" },
+            "style": {
+              "stroke": "#555"
+            },
             "className": "stroke-gray-900  stroke-connection",
             "animated": false,
             "id": "reactflow__edge-PythonFunctionTool-gqQDg{œbaseClassesœ:[œToolœ],œdataTypeœ:œPythonFunctionToolœ,œidœ:œPythonFunctionTool-gqQDgœ}-AgentInitializer-YJgqs{œfieldNameœ:œtoolsœ,œidœ:œAgentInitializer-YJgqsœ,œinputTypesœ:null,œtypeœ:œToolœ}",
@@ -933,7 +969,10 @@
           {
             "id": "CustomComponent-iF9Zr",
             "type": "genericNode",
-            "position": { "x": 536, "y": 337 },
+            "position": {
+              "x": 536,
+              "y": 337
+            },
             "data": {
               "type": "CustomComponent",
               "node": {
@@ -943,7 +982,7 @@
                     "placeholder": "",
                     "show": true,
                     "multiline": true,
-                    "value": "from langflow import CustomComponent\n\nfrom langchain.llms.base import BaseLLM\nfrom langchain.chains import LLMChain\nfrom langchain.prompts import PromptTemplate\nfrom langchain.schema import Document\n\nimport requests\n\nclass YourComponent(CustomComponent):\n    display_name: str = \"Custom Component\"\n    description: str = \"Create any custom component you want!\"\n\n    def build_config(self):\n        return { \"url\": { \"multiline\": True, \"required\": True } }\n\n    def build(self, url: str, llm: BaseLLM, prompt: PromptTemplate) -> Document:\n        response = requests.get(url)\n        chain = LLMChain(llm=llm, prompt=prompt)\n        result = chain.run(response.text[:300])\n        return Document(page_content=str(result))\n",
+                    "value": "from langflow.custom import CustomComponent\n\nfrom langchain.llms.base import BaseLLM\nfrom langchain.chains import LLMChain\nfrom langchain.prompts import PromptTemplate\nfrom langchain.schema import Document\n\nimport requests\n\nclass YourComponent(CustomComponent):\n    display_name: str = \"Custom Component\"\n    description: str = \"Create any custom component you want!\"\n\n    def build_config(self):\n        return { \"url\": { \"multiline\": True, \"required\": True } }\n\n    def build(self, url: str, llm: BaseLLM, prompt: PromptTemplate) -> Document:\n        response = requests.get(url)\n        chain = LLMChain(llm=llm, prompt=prompt)\n        result = chain.run(response.text[:300])\n        return Document(page_content=str(result))\n",
                     "password": false,
                     "name": "code",
                     "advanced": false,
@@ -965,11 +1004,18 @@
               },
               "id": "CustomComponent-iF9Zr"
             },
-            "positionAbsolute": { "x": 536, "y": 337 }
+            "positionAbsolute": {
+              "x": 536,
+              "y": 337
+            }
           }
         ],
         "edges": [],
-        "viewport": { "x": 0, "y": 0, "zoom": 1 }
+        "viewport": {
+          "x": 0,
+          "y": 0,
+          "zoom": 1
+        }
       },
       "id": "88a0e6a1-8144-4bff-b28c-d312ae5c8a10",
       "user_id": "6f6ebc2c-9e7a-4c35-84fc-51760db10d9b"
@@ -984,7 +1030,10 @@
             "height": 631,
             "id": "ChatOpenAI-cljAK",
             "type": "genericNode",
-            "position": { "x": 543.1816229116944, "y": 942.891611351432 },
+            "position": {
+              "x": 543.1816229116944,
+              "y": 942.891611351432
+            },
             "data": {
               "type": "ChatOpenAI",
               "node": {
@@ -1212,7 +1261,10 @@
             "height": 387,
             "id": "AgentInitializer-grV0u",
             "type": "genericNode",
-            "position": { "x": 1036.6064439140812, "y": 645.1919693466587 },
+            "position": {
+              "x": 1036.6064439140812,
+              "y": 645.1919693466587
+            },
             "data": {
               "type": "AgentInitializer",
               "node": {
@@ -1290,7 +1342,10 @@
             "height": 437,
             "id": "PythonFunctionTool-SctM2",
             "type": "genericNode",
-            "position": { "x": 553.050119331742, "y": 412.9533535948685 },
+            "position": {
+              "x": 553.050119331742,
+              "y": 412.9533535948685
+            },
             "data": {
               "type": "PythonFunctionTool",
               "node": {
@@ -1354,7 +1409,9 @@
             "sourceHandle": "{œbaseClassesœ:[œSerializableœ,œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-cljAKœ}",
             "target": "AgentInitializer-grV0u",
             "targetHandle": "{œfieldNameœ:œllmœ,œidœ:œAgentInitializer-grV0uœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}",
-            "style": { "stroke": "#555" },
+            "style": {
+              "stroke": "#555"
+            },
             "className": "stroke-gray-900  stroke-connection",
             "animated": false,
             "id": "reactflow__edge-ChatOpenAI-cljAK{œbaseClassesœ:[œSerializableœ,œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-cljAKœ}-AgentInitializer-grV0u{œfieldNameœ:œllmœ,œidœ:œAgentInitializer-grV0uœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}",
@@ -1383,7 +1440,9 @@
             "sourceHandle": "{œbaseClassesœ:[œToolœ],œdataTypeœ:œPythonFunctionToolœ,œidœ:œPythonFunctionTool-SctM2œ}",
             "target": "AgentInitializer-grV0u",
             "targetHandle": "{œfieldNameœ:œtoolsœ,œidœ:œAgentInitializer-grV0uœ,œinputTypesœ:null,œtypeœ:œToolœ}",
-            "style": { "stroke": "#555" },
+            "style": {
+              "stroke": "#555"
+            },
             "className": "stroke-gray-900  stroke-connection",
             "animated": false,
             "id": "reactflow__edge-PythonFunctionTool-SctM2{œbaseClassesœ:[œToolœ],œdataTypeœ:œPythonFunctionToolœ,œidœ:œPythonFunctionTool-SctM2œ}-AgentInitializer-grV0u{œfieldNameœ:œtoolsœ,œidœ:œAgentInitializer-grV0uœ,œinputTypesœ:null,œtypeœ:œToolœ}",
@@ -1420,7 +1479,10 @@
           {
             "id": "CustomComponent-z5kAP",
             "type": "genericNode",
-            "position": { "x": 536, "y": 337 },
+            "position": {
+              "x": 536,
+              "y": 337
+            },
             "data": {
               "type": "CustomComponent",
               "node": {
@@ -1430,7 +1492,7 @@
                     "placeholder": "",
                     "show": true,
                     "multiline": true,
-                    "value": "from langflow import CustomComponent\n\nfrom langchain.llms.base import BaseLLM\nfrom langchain.chains import LLMChain\nfrom langchain.prompts import PromptTemplate\nfrom langchain.schema import Document\n\nimport requests\n\nclass YourComponent(CustomComponent):\n    display_name: str = \"Custom Component\"\n    description: str = \"Create any custom component you want!\"\n\n    def build_config(self):\n        return { \"url\": { \"multiline\": True, \"required\": True } }\n\n    def build(self, url: str, llm: BaseLLM, prompt: PromptTemplate) -> Document:\n        response = requests.get(url)\n        chain = LLMChain(llm=llm, prompt=prompt)\n        result = chain.run(response.text[:300])\n        return Document(page_content=str(result))\n",
+                    "value": "from langflow.custom import CustomComponent\n\nfrom langchain.llms.base import BaseLLM\nfrom langchain.chains import LLMChain\nfrom langchain.prompts import PromptTemplate\nfrom langchain.schema import Document\n\nimport requests\n\nclass YourComponent(CustomComponent):\n    display_name: str = \"Custom Component\"\n    description: str = \"Create any custom component you want!\"\n\n    def build_config(self):\n        return { \"url\": { \"multiline\": True, \"required\": True } }\n\n    def build(self, url: str, llm: BaseLLM, prompt: PromptTemplate) -> Document:\n        response = requests.get(url)\n        chain = LLMChain(llm=llm, prompt=prompt)\n        result = chain.run(response.text[:300])\n        return Document(page_content=str(result))\n",
                     "password": false,
                     "name": "code",
                     "advanced": false,
@@ -1452,11 +1514,18 @@
               },
               "id": "CustomComponent-z5kAP"
             },
-            "positionAbsolute": { "x": 536, "y": 337 }
+            "positionAbsolute": {
+              "x": 536,
+              "y": 337
+            }
           }
         ],
         "edges": [],
-        "viewport": { "x": 0, "y": 0, "zoom": 1 }
+        "viewport": {
+          "x": 0,
+          "y": 0,
+          "zoom": 1
+        }
       },
       "id": "3128b556-35c7-4ced-a834-70fbeb1a410f",
       "user_id": "6f6ebc2c-9e7a-4c35-84fc-51760db10d9b"
@@ -1469,7 +1538,10 @@
           {
             "id": "CustomComponent-ZieNZ",
             "type": "genericNode",
-            "position": { "x": 536, "y": 337 },
+            "position": {
+              "x": 536,
+              "y": 337
+            },
             "data": {
               "type": "CustomComponent",
               "node": {
@@ -1479,7 +1551,7 @@
                     "placeholder": "",
                     "show": true,
                     "multiline": true,
-                    "value": "from langflow import CustomComponent\n\nfrom langchain.llms.base import BaseLLM\nfrom langchain.chains import LLMChain\nfrom langchain.prompts import PromptTemplate\nfrom langchain.schema import Document\n\nimport requests\n\nclass YourComponent(CustomComponent):\n    display_name: str = \"Custom Component\"\n    description: str = \"Create any custom component you want!\"\n\n    def build_config(self):\n        return { \"url\": { \"multiline\": True, \"required\": True } }\n\n    def build(self, url: str, llm: BaseLLM, prompt: PromptTemplate) -> Document:\n        response = requests.get(url)\n        chain = LLMChain(llm=llm, prompt=prompt)\n        result = chain.run(response.text[:300])\n        return Document(page_content=str(result))\n",
+                    "value": "from langflow.custom import CustomComponent\n\nfrom langchain.llms.base import BaseLLM\nfrom langchain.chains import LLMChain\nfrom langchain.prompts import PromptTemplate\nfrom langchain.schema import Document\n\nimport requests\n\nclass YourComponent(CustomComponent):\n    display_name: str = \"Custom Component\"\n    description: str = \"Create any custom component you want!\"\n\n    def build_config(self):\n        return { \"url\": { \"multiline\": True, \"required\": True } }\n\n    def build(self, url: str, llm: BaseLLM, prompt: PromptTemplate) -> Document:\n        response = requests.get(url)\n        chain = LLMChain(llm=llm, prompt=prompt)\n        result = chain.run(response.text[:300])\n        return Document(page_content=str(result))\n",
                     "password": false,
                     "name": "code",
                     "advanced": false,
@@ -1501,11 +1573,18 @@
               },
               "id": "CustomComponent-ZieNZ"
             },
-            "positionAbsolute": { "x": 536, "y": 337 }
+            "positionAbsolute": {
+              "x": 536,
+              "y": 337
+            }
           }
         ],
         "edges": [],
-        "viewport": { "x": 0, "y": 0, "zoom": 1 }
+        "viewport": {
+          "x": 0,
+          "y": 0,
+          "zoom": 1
+        }
       },
       "id": "d3f2c379-9df5-49a0-b33d-d855c2085949",
       "user_id": "6f6ebc2c-9e7a-4c35-84fc-51760db10d9b"
@@ -1518,7 +1597,10 @@
           {
             "id": "CustomComponent-CcHG0",
             "type": "genericNode",
-            "position": { "x": 536, "y": 337 },
+            "position": {
+              "x": 536,
+              "y": 337
+            },
             "data": {
               "type": "CustomComponent",
               "node": {
@@ -1528,7 +1610,7 @@
                     "placeholder": "",
                     "show": true,
                     "multiline": true,
-                    "value": "from langflow import CustomComponent\n\nfrom langchain.llms.base import BaseLLM\nfrom langchain.chains import LLMChain\nfrom langchain.prompts import PromptTemplate\nfrom langchain.schema import Document\n\nimport requests\n\nclass YourComponent(CustomComponent):\n    display_name: str = \"Custom Component\"\n    description: str = \"Create any custom component you want!\"\n\n    def build_config(self):\n        return { \"url\": { \"multiline\": True, \"required\": True } }\n\n    def build(self, url: str, llm: BaseLLM, prompt: PromptTemplate) -> Document:\n        response = requests.get(url)\n        chain = LLMChain(llm=llm, prompt=prompt)\n        result = chain.run(response.text[:300])\n        return Document(page_content=str(result))\n",
+                    "value": "from langflow.custom import CustomComponent\n\nfrom langchain.llms.base import BaseLLM\nfrom langchain.chains import LLMChain\nfrom langchain.prompts import PromptTemplate\nfrom langchain.schema import Document\n\nimport requests\n\nclass YourComponent(CustomComponent):\n    display_name: str = \"Custom Component\"\n    description: str = \"Create any custom component you want!\"\n\n    def build_config(self):\n        return { \"url\": { \"multiline\": True, \"required\": True } }\n\n    def build(self, url: str, llm: BaseLLM, prompt: PromptTemplate) -> Document:\n        response = requests.get(url)\n        chain = LLMChain(llm=llm, prompt=prompt)\n        result = chain.run(response.text[:300])\n        return Document(page_content=str(result))\n",
                     "password": false,
                     "name": "code",
                     "advanced": false,
@@ -1550,11 +1632,18 @@
               },
               "id": "CustomComponent-CcHG0"
             },
-            "positionAbsolute": { "x": 536, "y": 337 }
+            "positionAbsolute": {
+              "x": 536,
+              "y": 337
+            }
           }
         ],
         "edges": [],
-        "viewport": { "x": 0, "y": 0, "zoom": 1 }
+        "viewport": {
+          "x": 0,
+          "y": 0,
+          "zoom": 1
+        }
       },
       "id": "74afff1f-b540-43d5-bc66-d18f39d65d57",
       "user_id": "6f6ebc2c-9e7a-4c35-84fc-51760db10d9b"
@@ -1567,7 +1656,10 @@
           {
             "id": "CustomComponent-Q8qSr",
             "type": "genericNode",
-            "position": { "x": 536, "y": 337 },
+            "position": {
+              "x": 536,
+              "y": 337
+            },
             "data": {
               "type": "CustomComponent",
               "node": {
@@ -1577,7 +1669,7 @@
                     "placeholder": "",
                     "show": true,
                     "multiline": true,
-                    "value": "from langflow import CustomComponent\n\nfrom langchain.llms.base import BaseLLM\nfrom langchain.chains import LLMChain\nfrom langchain.prompts import PromptTemplate\nfrom langchain.schema import Document\n\nimport requests\n\nclass YourComponent(CustomComponent):\n    display_name: str = \"Custom Component\"\n    description: str = \"Create any custom component you want!\"\n\n    def build_config(self):\n        return { \"url\": { \"multiline\": True, \"required\": True } }\n\n    def build(self, url: str, llm: BaseLLM, prompt: PromptTemplate) -> Document:\n        response = requests.get(url)\n        chain = LLMChain(llm=llm, prompt=prompt)\n        result = chain.run(response.text[:300])\n        return Document(page_content=str(result))\n",
+                    "value": "from langflow.custom import CustomComponent\n\nfrom langchain.llms.base import BaseLLM\nfrom langchain.chains import LLMChain\nfrom langchain.prompts import PromptTemplate\nfrom langchain.schema import Document\n\nimport requests\n\nclass YourComponent(CustomComponent):\n    display_name: str = \"Custom Component\"\n    description: str = \"Create any custom component you want!\"\n\n    def build_config(self):\n        return { \"url\": { \"multiline\": True, \"required\": True } }\n\n    def build(self, url: str, llm: BaseLLM, prompt: PromptTemplate) -> Document:\n        response = requests.get(url)\n        chain = LLMChain(llm=llm, prompt=prompt)\n        result = chain.run(response.text[:300])\n        return Document(page_content=str(result))\n",
                     "password": false,
                     "name": "code",
                     "advanced": false,
@@ -1599,11 +1691,18 @@
               },
               "id": "CustomComponent-Q8qSr"
             },
-            "positionAbsolute": { "x": 536, "y": 337 }
+            "positionAbsolute": {
+              "x": 536,
+              "y": 337
+            }
           }
         ],
         "edges": [],
-        "viewport": { "x": 0, "y": 0, "zoom": 1 }
+        "viewport": {
+          "x": 0,
+          "y": 0,
+          "zoom": 1
+        }
       },
       "id": "b0b1c893-6194-4748-ae10-b5f604b271c2",
       "user_id": "6f6ebc2c-9e7a-4c35-84fc-51760db10d9b"
@@ -1616,7 +1715,10 @@
           {
             "id": "CustomComponent-Lgoca",
             "type": "genericNode",
-            "position": { "x": 536, "y": 337 },
+            "position": {
+              "x": 536,
+              "y": 337
+            },
             "data": {
               "type": "CustomComponent",
               "node": {
@@ -1626,7 +1728,7 @@
                     "placeholder": "",
                     "show": true,
                     "multiline": true,
-                    "value": "from langflow import CustomComponent\n\nfrom langchain.llms.base import BaseLLM\nfrom langchain.chains import LLMChain\nfrom langchain.prompts import PromptTemplate\nfrom langchain.schema import Document\n\nimport requests\n\nclass YourComponent(CustomComponent):\n    display_name: str = \"Custom Component\"\n    description: str = \"Create any custom component you want!\"\n\n    def build_config(self):\n        return { \"url\": { \"multiline\": True, \"required\": True } }\n\n    def build(self, url: str, llm: BaseLLM, prompt: PromptTemplate) -> Document:\n        response = requests.get(url)\n        chain = LLMChain(llm=llm, prompt=prompt)\n        result = chain.run(response.text[:300])\n        return Document(page_content=str(result))\n",
+                    "value": "from langflow.custom import CustomComponent\n\nfrom langchain.llms.base import BaseLLM\nfrom langchain.chains import LLMChain\nfrom langchain.prompts import PromptTemplate\nfrom langchain.schema import Document\n\nimport requests\n\nclass YourComponent(CustomComponent):\n    display_name: str = \"Custom Component\"\n    description: str = \"Create any custom component you want!\"\n\n    def build_config(self):\n        return { \"url\": { \"multiline\": True, \"required\": True } }\n\n    def build(self, url: str, llm: BaseLLM, prompt: PromptTemplate) -> Document:\n        response = requests.get(url)\n        chain = LLMChain(llm=llm, prompt=prompt)\n        result = chain.run(response.text[:300])\n        return Document(page_content=str(result))\n",
                     "password": false,
                     "name": "code",
                     "advanced": false,
@@ -1648,11 +1750,18 @@
               },
               "id": "CustomComponent-Lgoca"
             },
-            "positionAbsolute": { "x": 536, "y": 337 }
+            "positionAbsolute": {
+              "x": 536,
+              "y": 337
+            }
           }
         ],
         "edges": [],
-        "viewport": { "x": 0, "y": 0, "zoom": 1 }
+        "viewport": {
+          "x": 0,
+          "y": 0,
+          "zoom": 1
+        }
       },
       "id": "edf1051d-509b-46a2-84c6-b94bdcdc3a4f",
       "user_id": "6f6ebc2c-9e7a-4c35-84fc-51760db10d9b"
@@ -1665,7 +1774,10 @@
           {
             "id": "CustomComponent-6OJGW",
             "type": "genericNode",
-            "position": { "x": 536, "y": 337 },
+            "position": {
+              "x": 536,
+              "y": 337
+            },
             "data": {
               "type": "CustomComponent",
               "node": {
@@ -1675,7 +1787,7 @@
                     "placeholder": "",
                     "show": true,
                     "multiline": true,
-                    "value": "from langflow import CustomComponent\n\nfrom langchain.llms.base import BaseLLM\nfrom langchain.chains import LLMChain\nfrom langchain.prompts import PromptTemplate\nfrom langchain.schema import Document\n\nimport requests\n\nclass YourComponent(CustomComponent):\n    display_name: str = \"Custom Component\"\n    description: str = \"Create any custom component you want!\"\n\n    def build_config(self):\n        return { \"url\": { \"multiline\": True, \"required\": True } }\n\n    def build(self, url: str, llm: BaseLLM, prompt: PromptTemplate) -> Document:\n        response = requests.get(url)\n        chain = LLMChain(llm=llm, prompt=prompt)\n        result = chain.run(response.text[:300])\n        return Document(page_content=str(result))\n",
+                    "value": "from langflow.custom import CustomComponent\n\nfrom langchain.llms.base import BaseLLM\nfrom langchain.chains import LLMChain\nfrom langchain.prompts import PromptTemplate\nfrom langchain.schema import Document\n\nimport requests\n\nclass YourComponent(CustomComponent):\n    display_name: str = \"Custom Component\"\n    description: str = \"Create any custom component you want!\"\n\n    def build_config(self):\n        return { \"url\": { \"multiline\": True, \"required\": True } }\n\n    def build(self, url: str, llm: BaseLLM, prompt: PromptTemplate) -> Document:\n        response = requests.get(url)\n        chain = LLMChain(llm=llm, prompt=prompt)\n        result = chain.run(response.text[:300])\n        return Document(page_content=str(result))\n",
                     "password": false,
                     "name": "code",
                     "advanced": false,
@@ -1697,11 +1809,18 @@
               },
               "id": "CustomComponent-6OJGW"
             },
-            "positionAbsolute": { "x": 536, "y": 337 }
+            "positionAbsolute": {
+              "x": 536,
+              "y": 337
+            }
           }
         ],
         "edges": [],
-        "viewport": { "x": 0, "y": 0, "zoom": 1 }
+        "viewport": {
+          "x": 0,
+          "y": 0,
+          "zoom": 1
+        }
       },
       "id": "65b2a4e0-4084-418a-aa86-ee914acb0ab5",
       "user_id": "6f6ebc2c-9e7a-4c35-84fc-51760db10d9b"
@@ -1714,7 +1833,10 @@
           {
             "id": "CustomComponent-tcE83",
             "type": "genericNode",
-            "position": { "x": 536, "y": 337 },
+            "position": {
+              "x": 536,
+              "y": 337
+            },
             "data": {
               "type": "CustomComponent",
               "node": {
@@ -1724,7 +1846,7 @@
                     "placeholder": "",
                     "show": true,
                     "multiline": true,
-                    "value": "from langflow import CustomComponent\n\nfrom langchain.llms.base import BaseLLM\nfrom langchain.chains import LLMChain\nfrom langchain.prompts import PromptTemplate\nfrom langchain.schema import Document\n\nimport requests\n\nclass YourComponent(CustomComponent):\n    display_name: str = \"Custom Component\"\n    description: str = \"Create any custom component you want!\"\n\n    def build_config(self):\n        return { \"url\": { \"multiline\": True, \"required\": True } }\n\n    def build(self, url: str, llm: BaseLLM, prompt: PromptTemplate) -> Document:\n        response = requests.get(url)\n        chain = LLMChain(llm=llm, prompt=prompt)\n        result = chain.run(response.text[:300])\n        return Document(page_content=str(result))\n",
+                    "value": "from langflow.custom import CustomComponent\n\nfrom langchain.llms.base import BaseLLM\nfrom langchain.chains import LLMChain\nfrom langchain.prompts import PromptTemplate\nfrom langchain.schema import Document\n\nimport requests\n\nclass YourComponent(CustomComponent):\n    display_name: str = \"Custom Component\"\n    description: str = \"Create any custom component you want!\"\n\n    def build_config(self):\n        return { \"url\": { \"multiline\": True, \"required\": True } }\n\n    def build(self, url: str, llm: BaseLLM, prompt: PromptTemplate) -> Document:\n        response = requests.get(url)\n        chain = LLMChain(llm=llm, prompt=prompt)\n        result = chain.run(response.text[:300])\n        return Document(page_content=str(result))\n",
                     "password": false,
                     "name": "code",
                     "advanced": false,
@@ -1746,11 +1868,18 @@
               },
               "id": "CustomComponent-tcE83"
             },
-            "positionAbsolute": { "x": 536, "y": 337 }
+            "positionAbsolute": {
+              "x": 536,
+              "y": 337
+            }
           }
         ],
         "edges": [],
-        "viewport": { "x": 0, "y": 0, "zoom": 1 }
+        "viewport": {
+          "x": 0,
+          "y": 0,
+          "zoom": 1
+        }
       },
       "id": "534e412b-d37b-4133-8029-e5ed139fd55c",
       "user_id": "6f6ebc2c-9e7a-4c35-84fc-51760db10d9b"
@@ -1765,7 +1894,10 @@
             "height": 631,
             "id": "ChatOpenAI-mQEi3",
             "type": "genericNode",
-            "position": { "x": 543.1816229116944, "y": 942.891611351432 },
+            "position": {
+              "x": 543.1816229116944,
+              "y": 942.891611351432
+            },
             "data": {
               "type": "ChatOpenAI",
               "node": {
@@ -1993,7 +2125,10 @@
             "height": 387,
             "id": "AgentInitializer-EE8R4",
             "type": "genericNode",
-            "position": { "x": 1036.6064439140812, "y": 645.1919693466587 },
+            "position": {
+              "x": 1036.6064439140812,
+              "y": 645.1919693466587
+            },
             "data": {
               "type": "AgentInitializer",
               "node": {
@@ -2071,7 +2206,10 @@
             "height": 437,
             "id": "PythonFunctionTool-YKkDL",
             "type": "genericNode",
-            "position": { "x": 553.050119331742, "y": 412.9533535948685 },
+            "position": {
+              "x": 553.050119331742,
+              "y": 412.9533535948685
+            },
             "data": {
               "type": "PythonFunctionTool",
               "node": {
@@ -2135,7 +2273,9 @@
             "sourceHandle": "{œbaseClassesœ:[œSerializableœ,œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-mQEi3œ}",
             "target": "AgentInitializer-EE8R4",
             "targetHandle": "{œfieldNameœ:œllmœ,œidœ:œAgentInitializer-EE8R4œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}",
-            "style": { "stroke": "#555" },
+            "style": {
+              "stroke": "#555"
+            },
             "className": "stroke-gray-900  stroke-connection",
             "animated": false,
             "id": "reactflow__edge-ChatOpenAI-mQEi3{œbaseClassesœ:[œSerializableœ,œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-mQEi3œ}-AgentInitializer-EE8R4{œfieldNameœ:œllmœ,œidœ:œAgentInitializer-EE8R4œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}",
@@ -2164,7 +2304,9 @@
             "sourceHandle": "{œbaseClassesœ:[œToolœ],œdataTypeœ:œPythonFunctionToolœ,œidœ:œPythonFunctionTool-YKkDLœ}",
             "target": "AgentInitializer-EE8R4",
             "targetHandle": "{œfieldNameœ:œtoolsœ,œidœ:œAgentInitializer-EE8R4œ,œinputTypesœ:null,œtypeœ:œToolœ}",
-            "style": { "stroke": "#555" },
+            "style": {
+              "stroke": "#555"
+            },
             "className": "stroke-gray-900  stroke-connection",
             "animated": false,
             "id": "reactflow__edge-PythonFunctionTool-YKkDL{œbaseClassesœ:[œToolœ],œdataTypeœ:œPythonFunctionToolœ,œidœ:œPythonFunctionTool-YKkDLœ}-AgentInitializer-EE8R4{œfieldNameœ:œtoolsœ,œidœ:œAgentInitializer-EE8R4œ,œinputTypesœ:null,œtypeœ:œToolœ}",
@@ -2201,7 +2343,10 @@
           {
             "id": "CustomComponent-T38LS",
             "type": "genericNode",
-            "position": { "x": 536, "y": 337 },
+            "position": {
+              "x": 536,
+              "y": 337
+            },
             "data": {
               "type": "CustomComponent",
               "node": {
@@ -2211,7 +2356,7 @@
                     "placeholder": "",
                     "show": true,
                     "multiline": true,
-                    "value": "from langflow import CustomComponent\n\nfrom langchain.llms.base import BaseLLM\nfrom langchain.chains import LLMChain\nfrom langchain.prompts import PromptTemplate\nfrom langchain.schema import Document\n\nimport requests\n\nclass YourComponent(CustomComponent):\n    display_name: str = \"Custom Component\"\n    description: str = \"Create any custom component you want!\"\n\n    def build_config(self):\n        return { \"url\": { \"multiline\": True, \"required\": True } }\n\n    def build(self, url: str, llm: BaseLLM, prompt: PromptTemplate) -> Document:\n        response = requests.get(url)\n        chain = LLMChain(llm=llm, prompt=prompt)\n        result = chain.run(response.text[:300])\n        return Document(page_content=str(result))\n",
+                    "value": "from langflow.custom import CustomComponent\n\nfrom langchain.llms.base import BaseLLM\nfrom langchain.chains import LLMChain\nfrom langchain.prompts import PromptTemplate\nfrom langchain.schema import Document\n\nimport requests\n\nclass YourComponent(CustomComponent):\n    display_name: str = \"Custom Component\"\n    description: str = \"Create any custom component you want!\"\n\n    def build_config(self):\n        return { \"url\": { \"multiline\": True, \"required\": True } }\n\n    def build(self, url: str, llm: BaseLLM, prompt: PromptTemplate) -> Document:\n        response = requests.get(url)\n        chain = LLMChain(llm=llm, prompt=prompt)\n        result = chain.run(response.text[:300])\n        return Document(page_content=str(result))\n",
                     "password": false,
                     "name": "code",
                     "advanced": false,
@@ -2233,11 +2378,18 @@
               },
               "id": "CustomComponent-T38LS"
             },
-            "positionAbsolute": { "x": 536, "y": 337 }
+            "positionAbsolute": {
+              "x": 536,
+              "y": 337
+            }
           }
         ],
         "edges": [],
-        "viewport": { "x": 0, "y": 0, "zoom": 1 }
+        "viewport": {
+          "x": 0,
+          "y": 0,
+          "zoom": 1
+        }
       },
       "id": "ec36a3b7-7b5f-4663-983c-833bcec4d851",
       "user_id": "6f6ebc2c-9e7a-4c35-84fc-51760db10d9b"
@@ -2252,7 +2404,10 @@
             "height": 631,
             "id": "ChatOpenAI-E1XSb",
             "type": "genericNode",
-            "position": { "x": 543.1816229116944, "y": 942.891611351432 },
+            "position": {
+              "x": 543.1816229116944,
+              "y": 942.891611351432
+            },
             "data": {
               "type": "ChatOpenAI",
               "node": {
@@ -2480,7 +2635,10 @@
             "height": 387,
             "id": "AgentInitializer-goPm2",
             "type": "genericNode",
-            "position": { "x": 1036.6064439140812, "y": 645.1919693466587 },
+            "position": {
+              "x": 1036.6064439140812,
+              "y": 645.1919693466587
+            },
             "data": {
               "type": "AgentInitializer",
               "node": {
@@ -2558,7 +2716,10 @@
             "height": 437,
             "id": "PythonFunctionTool-SQikY",
             "type": "genericNode",
-            "position": { "x": 553.050119331742, "y": 412.9533535948685 },
+            "position": {
+              "x": 553.050119331742,
+              "y": 412.9533535948685
+            },
             "data": {
               "type": "PythonFunctionTool",
               "node": {
@@ -2622,7 +2783,9 @@
             "sourceHandle": "{œbaseClassesœ:[œSerializableœ,œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-E1XSbœ}",
             "target": "AgentInitializer-goPm2",
             "targetHandle": "{œfieldNameœ:œllmœ,œidœ:œAgentInitializer-goPm2œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}",
-            "style": { "stroke": "#555" },
+            "style": {
+              "stroke": "#555"
+            },
             "className": "stroke-gray-900  stroke-connection",
             "animated": false,
             "id": "reactflow__edge-ChatOpenAI-E1XSb{œbaseClassesœ:[œSerializableœ,œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-E1XSbœ}-AgentInitializer-goPm2{œfieldNameœ:œllmœ,œidœ:œAgentInitializer-goPm2œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}",
@@ -2651,7 +2814,9 @@
             "sourceHandle": "{œbaseClassesœ:[œToolœ],œdataTypeœ:œPythonFunctionToolœ,œidœ:œPythonFunctionTool-SQikYœ}",
             "target": "AgentInitializer-goPm2",
             "targetHandle": "{œfieldNameœ:œtoolsœ,œidœ:œAgentInitializer-goPm2œ,œinputTypesœ:null,œtypeœ:œToolœ}",
-            "style": { "stroke": "#555" },
+            "style": {
+              "stroke": "#555"
+            },
             "className": "stroke-gray-900  stroke-connection",
             "animated": false,
             "id": "reactflow__edge-PythonFunctionTool-SQikY{œbaseClassesœ:[œToolœ],œdataTypeœ:œPythonFunctionToolœ,œidœ:œPythonFunctionTool-SQikYœ}-AgentInitializer-goPm2{œfieldNameœ:œtoolsœ,œidœ:œAgentInitializer-goPm2œ,œinputTypesœ:null,œtypeœ:œToolœ}",
diff --git a/src/frontend/tests/onlyFront/assets/flow.json b/src/frontend/tests/end-to-end/assets/flow.json
similarity index 100%
rename from src/frontend/tests/onlyFront/assets/flow.json
rename to src/frontend/tests/end-to-end/assets/flow.json
diff --git a/src/frontend/tests/end-to-end/assets/flow_group_test.json b/src/frontend/tests/end-to-end/assets/flow_group_test.json
new file mode 100644
index 00000000000..c8857630502
--- /dev/null
+++ b/src/frontend/tests/end-to-end/assets/flow_group_test.json
@@ -0,0 +1,532 @@
+{
+  "id": "8404c1fc-1bce-43b4-a8bc-3febea587fc8",
+  "data": {
+    "nodes": [
+      {
+        "id": "PythonFunctionTool-RfJui",
+        "type": "genericNode",
+        "position": {
+          "x": 117.54690105175428,
+          "y": -84.2465475108354
+        },
+        "data": {
+          "type": "PythonFunctionTool",
+          "node": {
+            "template": {
+              "code": {
+                "type": "code",
+                "required": true,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": true,
+                "value": "\ndef python_function(text: str) -> str:\n    \"\"\"This is a default python function that returns the input text\"\"\"\n    return text\n",
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "code",
+                "advanced": false,
+                "dynamic": false,
+                "info": "",
+                "title_case": false
+              },
+              "description": {
+                "type": "str",
+                "required": true,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": true,
+                "value": "Returns the Text you send. This is a testing tool.",
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "description",
+                "advanced": false,
+                "dynamic": false,
+                "info": "",
+                "title_case": false,
+                "input_types": ["Text"]
+              },
+              "name": {
+                "type": "str",
+                "required": true,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": false,
+                "value": "PythonFunction",
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "name",
+                "advanced": false,
+                "dynamic": false,
+                "info": "",
+                "title_case": false,
+                "input_types": ["Text"]
+              },
+              "return_direct": {
+                "type": "bool",
+                "required": true,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": false,
+                "value": false,
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "return_direct",
+                "advanced": false,
+                "dynamic": false,
+                "info": "",
+                "title_case": false
+              },
+              "_type": "PythonFunctionTool"
+            },
+            "description": "Python function to be executed.",
+            "base_classes": ["BaseTool", "Tool"],
+            "display_name": "PythonFunctionTool",
+            "documentation": "",
+            "custom_fields": {},
+            "output_types": [],
+            "field_formatters": {},
+            "pinned": false,
+            "beta": false
+          },
+          "id": "PythonFunctionTool-RfJui"
+        },
+        "selected": true,
+        "width": 384,
+        "height": 466,
+        "positionAbsolute": {
+          "x": 117.54690105175428,
+          "y": -84.2465475108354
+        },
+        "dragging": false
+      },
+      {
+        "id": "AgentInitializer-tPdJw",
+        "type": "genericNode",
+        "position": {
+          "x": 677.68677055088,
+          "y": 127.19859565276168
+        },
+        "data": {
+          "type": "AgentInitializer",
+          "node": {
+            "template": {
+              "llm": {
+                "type": "BaseLanguageModel",
+                "required": true,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": false,
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "llm",
+                "display_name": "Language Model",
+                "advanced": false,
+                "dynamic": false,
+                "info": "",
+                "title_case": false
+              },
+              "memory": {
+                "type": "BaseChatMemory",
+                "required": false,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": false,
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "memory",
+                "display_name": "Memory",
+                "advanced": false,
+                "dynamic": false,
+                "info": "",
+                "title_case": false
+              },
+              "tools": {
+                "type": "Tool",
+                "required": true,
+                "placeholder": "",
+                "list": true,
+                "show": true,
+                "multiline": false,
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "tools",
+                "display_name": "Tools",
+                "advanced": false,
+                "dynamic": false,
+                "info": "",
+                "title_case": false
+              },
+              "agent": {
+                "type": "str",
+                "required": true,
+                "placeholder": "",
+                "list": true,
+                "show": true,
+                "multiline": false,
+                "value": "zero-shot-react-description",
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "options": [
+                  "zero-shot-react-description",
+                  "react-docstore",
+                  "self-ask-with-search",
+                  "conversational-react-description",
+                  "chat-zero-shot-react-description",
+                  "chat-conversational-react-description",
+                  "structured-chat-zero-shot-react-description",
+                  "openai-functions",
+                  "openai-multi-functions",
+                  "JsonAgent",
+                  "CSVAgent",
+                  "VectorStoreAgent",
+                  "VectorStoreRouterAgent",
+                  "SQLAgent"
+                ],
+                "name": "agent",
+                "display_name": "Agent Type",
+                "advanced": false,
+                "dynamic": false,
+                "info": "",
+                "title_case": false,
+                "input_types": ["Text"]
+              },
+              "code": {
+                "type": "code",
+                "required": true,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": true,
+                "value": "from typing import Callable, List, Optional, Union\n\nfrom langchain.agents import AgentExecutor, AgentType, initialize_agent, types\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool\n\n\nclass AgentInitializerComponent(CustomComponent):\n    display_name: str = \"Agent Initializer\"\n    description: str = \"Initialize a Langchain Agent.\"\n    documentation: str = \"https://python.langchain.com/docs/modules/agents/agent_types/\"\n\n    def build_config(self):\n        agents = list(types.AGENT_TO_CLASS.keys())\n        # field_type and required are optional\n        return {\n            \"agent\": {\"options\": agents, \"value\": agents[0], \"display_name\": \"Agent Type\"},\n            \"max_iterations\": {\"display_name\": \"Max Iterations\", \"value\": 10},\n            \"memory\": {\"display_name\": \"Memory\"},\n            \"tools\": {\"display_name\": \"Tools\"},\n            \"llm\": {\"display_name\": \"Language Model\"},\n            \"code\": {\"advanced\": True},\n        }\n\n    def build(\n        self,\n        agent: str,\n        llm: BaseLanguageModel,\n        tools: List[Tool],\n        max_iterations: int,\n        memory: Optional[BaseChatMemory] = None,\n    ) -> Union[AgentExecutor, Callable]:\n        agent = AgentType(agent)\n        if memory:\n            return initialize_agent(\n                tools=tools,\n                llm=llm,\n                agent=agent,\n                memory=memory,\n                return_intermediate_steps=True,\n                handle_parsing_errors=True,\n                max_iterations=max_iterations,\n            )\n        return initialize_agent(\n            tools=tools,\n            llm=llm,\n            agent=agent,\n            return_intermediate_steps=True,\n            handle_parsing_errors=True,\n            max_iterations=max_iterations,\n        )\n",
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "code",
+                "advanced": true,
+                "dynamic": true,
+                "info": "",
+                "title_case": false
+              },
+              "max_iterations": {
+                "type": "int",
+                "required": true,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": false,
+                "value": 10,
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "max_iterations",
+                "display_name": "Max Iterations",
+                "advanced": false,
+                "dynamic": false,
+                "info": "",
+                "title_case": false
+              },
+              "_type": "CustomComponent"
+            },
+            "description": "Initialize a Langchain Agent.",
+            "base_classes": [
+              "Runnable",
+              "Chain",
+              "Serializable",
+              "object",
+              "AgentExecutor",
+              "Generic",
+              "RunnableSerializable",
+              "Callable"
+            ],
+            "display_name": "Agent Initializer",
+            "documentation": "https://python.langchain.com/docs/modules/agents/agent_types/",
+            "custom_fields": {
+              "agent": null,
+              "llm": null,
+              "tools": null,
+              "max_iterations": null,
+              "memory": null
+            },
+            "output_types": ["AgentExecutor", "Callable"],
+            "field_formatters": {},
+            "pinned": false,
+            "beta": true
+          },
+          "id": "AgentInitializer-tPdJw"
+        },
+        "selected": false,
+        "width": 384,
+        "height": 522
+      },
+      {
+        "id": "ChatOpenAISpecs-stxRM",
+        "type": "genericNode",
+        "position": {
+          "x": 18.226716205350385,
+          "y": 432.6122491402193
+        },
+        "data": {
+          "type": "ChatOpenAISpecs",
+          "node": {
+            "template": {
+              "code": {
+                "type": "code",
+                "required": true,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": true,
+                "value": "from typing import Optional, Union\n\nfrom langchain.llms import BaseLLM\nfrom langchain_community.chat_models.openai import ChatOpenAI\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import BaseLanguageModel, NestedDict\n\n\nclass ChatOpenAIComponent(CustomComponent):\n    display_name = \"ChatOpenAI\"\n    description = \"`OpenAI` Chat large language models API.\"\n    icon = \"OpenAI\"\n\n    def build_config(self):\n        return {\n            \"max_tokens\": {\n                \"display_name\": \"Max Tokens\",\n                \"advanced\": False,\n                \"required\": False,\n            },\n            \"model_kwargs\": {\n                \"display_name\": \"Model Kwargs\",\n                \"advanced\": True,\n                \"required\": False,\n            },\n            \"model_name\": {\n                \"display_name\": \"Model Name\",\n                \"advanced\": False,\n                \"required\": False,\n                \"options\": [\n                    \"gpt-4-turbo-preview\",\n                    \"gpt-4-0125-preview\",\n                    \"gpt-4-1106-preview\",\n                    \"gpt-4-vision-preview\",\n                    \"gpt-3.5-turbo-0125\",\n                    \"gpt-3.5-turbo-1106\",\n                ],\n            },\n            \"openai_api_base\": {\n                \"display_name\": \"OpenAI API Base\",\n                \"advanced\": False,\n                \"required\": False,\n                \"info\": (\n                    \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n                    \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n                ),\n            },\n            \"openai_api_key\": {\n                \"display_name\": \"OpenAI API Key\",\n                \"advanced\": False,\n                \"required\": False,\n                \"password\": True,\n            },\n            \"temperature\": {\n                \"display_name\": \"Temperature\",\n                \"advanced\": False,\n                \"required\": False,\n                \"value\": 0.7,\n            },\n        }\n\n    def build(\n        self,\n        max_tokens: Optional[int] = 256,\n        model_kwargs: NestedDict = {},\n        model_name: str = \"gpt-4-1106-preview\",\n        openai_api_base: Optional[str] = None,\n        openai_api_key: Optional[str] = None,\n        temperature: float = 0.7,\n    ) -> Union[BaseLanguageModel, BaseLLM]:\n        if not openai_api_base:\n            openai_api_base = \"https://api.openai.com/v1\"\n        return ChatOpenAI(\n            max_tokens=max_tokens,\n            model_kwargs=model_kwargs,\n            model=model_name,\n            base_url=openai_api_base,\n            api_key=openai_api_key,\n            temperature=temperature,\n        )\n",
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "code",
+                "advanced": false,
+                "dynamic": true,
+                "info": "",
+                "title_case": false
+              },
+              "max_tokens": {
+                "type": "int",
+                "required": false,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": false,
+                "value": 256,
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "max_tokens",
+                "display_name": "Max Tokens",
+                "advanced": false,
+                "dynamic": false,
+                "info": "",
+                "title_case": false
+              },
+              "model_kwargs": {
+                "type": "NestedDict",
+                "required": false,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": false,
+                "value": {},
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "model_kwargs",
+                "display_name": "Model Kwargs",
+                "advanced": true,
+                "dynamic": false,
+                "info": "",
+                "title_case": false
+              },
+              "model_name": {
+                "type": "str",
+                "required": false,
+                "placeholder": "",
+                "list": true,
+                "show": true,
+                "multiline": false,
+                "value": "gpt-4-1106-preview",
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "options": [
+                  "gpt-4-turbo-preview",
+                  "gpt-4-0125-preview",
+                  "gpt-4-1106-preview",
+                  "gpt-4-vision-preview",
+                  "gpt-3.5-turbo-0125",
+                  "gpt-3.5-turbo-1106"
+                ],
+                "name": "model_name",
+                "display_name": "Model Name",
+                "advanced": false,
+                "dynamic": false,
+                "info": "",
+                "title_case": false,
+                "input_types": ["Text"]
+              },
+              "openai_api_base": {
+                "type": "str",
+                "required": false,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": false,
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "openai_api_base",
+                "display_name": "OpenAI API Base",
+                "advanced": false,
+                "dynamic": false,
+                "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.",
+                "title_case": false,
+                "input_types": ["Text"]
+              },
+              "openai_api_key": {
+                "type": "str",
+                "required": false,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": false,
+                "fileTypes": [],
+                "file_path": "",
+                "password": true,
+                "name": "openai_api_key",
+                "display_name": "OpenAI API Key",
+                "advanced": false,
+                "dynamic": false,
+                "info": "",
+                "title_case": false,
+                "input_types": ["Text"]
+              },
+              "temperature": {
+                "type": "float",
+                "required": false,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": false,
+                "value": 0.7,
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "temperature",
+                "display_name": "Temperature",
+                "advanced": false,
+                "dynamic": false,
+                "info": "",
+                "rangeSpec": {
+                  "min": -1,
+                  "max": 1,
+                  "step": 0.1
+                },
+                "title_case": false
+              },
+              "_type": "CustomComponent"
+            },
+            "description": "`OpenAI` Chat large language models API.",
+            "icon": "OpenAI",
+            "base_classes": [
+              "Runnable",
+              "BaseLLM",
+              "Serializable",
+              "BaseLanguageModel",
+              "object",
+              "Generic",
+              "RunnableSerializable"
+            ],
+            "display_name": "ChatOpenAI",
+            "documentation": "",
+            "custom_fields": {
+              "max_tokens": null,
+              "model_kwargs": null,
+              "model_name": null,
+              "openai_api_base": null,
+              "openai_api_key": null,
+              "temperature": null
+            },
+            "output_types": ["BaseLanguageModel", "BaseLLM"],
+            "field_formatters": {},
+            "pinned": false,
+            "beta": true
+          },
+          "id": "ChatOpenAISpecs-stxRM"
+        },
+        "selected": false,
+        "width": 384,
+        "height": 666,
+        "positionAbsolute": {
+          "x": 18.226716205350385,
+          "y": 432.6122491402193
+        },
+        "dragging": false
+      }
+    ],
+    "edges": [
+      {
+        "source": "ChatOpenAISpecs-stxRM",
+        "sourceHandle": "{œbaseClassesœ:[œRunnableœ,œBaseLLMœ,œSerializableœ,œBaseLanguageModelœ,œobjectœ,œGenericœ,œRunnableSerializableœ],œdataTypeœ:œChatOpenAISpecsœ,œidœ:œChatOpenAISpecs-stxRMœ}",
+        "target": "AgentInitializer-tPdJw",
+        "targetHandle": "{œfieldNameœ:œllmœ,œidœ:œAgentInitializer-tPdJwœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}",
+        "data": {
+          "targetHandle": {
+            "fieldName": "llm",
+            "id": "AgentInitializer-tPdJw",
+            "inputTypes": null,
+            "type": "BaseLanguageModel"
+          },
+          "sourceHandle": {
+            "baseClasses": [
+              "Runnable",
+              "BaseLLM",
+              "Serializable",
+              "BaseLanguageModel",
+              "object",
+              "Generic",
+              "RunnableSerializable"
+            ],
+            "dataType": "ChatOpenAISpecs",
+            "id": "ChatOpenAISpecs-stxRM"
+          }
+        },
+        "style": {
+          "stroke": "#555"
+        },
+        "className": "stroke-foreground stroke-connection",
+        "id": "reactflow__edge-ChatOpenAISpecs-stxRM{œbaseClassesœ:[œRunnableœ,œBaseLLMœ,œSerializableœ,œBaseLanguageModelœ,œobjectœ,œGenericœ,œRunnableSerializableœ],œdataTypeœ:œChatOpenAISpecsœ,œidœ:œChatOpenAISpecs-stxRMœ}-AgentInitializer-tPdJw{œfieldNameœ:œllmœ,œidœ:œAgentInitializer-tPdJwœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}"
+      },
+      {
+        "source": "PythonFunctionTool-RfJui",
+        "sourceHandle": "{œbaseClassesœ:[œBaseToolœ,œToolœ],œdataTypeœ:œPythonFunctionToolœ,œidœ:œPythonFunctionTool-RfJuiœ}",
+        "target": "AgentInitializer-tPdJw",
+        "targetHandle": "{œfieldNameœ:œtoolsœ,œidœ:œAgentInitializer-tPdJwœ,œinputTypesœ:null,œtypeœ:œToolœ}",
+        "data": {
+          "targetHandle": {
+            "fieldName": "tools",
+            "id": "AgentInitializer-tPdJw",
+            "inputTypes": null,
+            "type": "Tool"
+          },
+          "sourceHandle": {
+            "baseClasses": ["BaseTool", "Tool"],
+            "dataType": "PythonFunctionTool",
+            "id": "PythonFunctionTool-RfJui"
+          }
+        },
+        "style": {
+          "stroke": "#555"
+        },
+        "className": "stroke-foreground stroke-connection",
+        "id": "reactflow__edge-PythonFunctionTool-RfJui{œbaseClassesœ:[œBaseToolœ,œToolœ],œdataTypeœ:œPythonFunctionToolœ,œidœ:œPythonFunctionTool-RfJuiœ}-AgentInitializer-tPdJw{œfieldNameœ:œtoolsœ,œidœ:œAgentInitializer-tPdJwœ,œinputTypesœ:null,œtypeœ:œToolœ}"
+      }
+    ],
+    "viewport": {
+      "x": 37.63043052737157,
+      "y": 71.47518177614131,
+      "zoom": 0.5140569133280332
+    }
+  },
+  "description": "Uncover Business Opportunities with NLP.",
+  "name": "Untitled document (20)",
+  "last_tested_version": "0.7.0a0",
+  "is_component": false
+}
diff --git a/src/frontend/tests/end-to-end/assets/flowtest.json b/src/frontend/tests/end-to-end/assets/flowtest.json
new file mode 100644
index 00000000000..c4de3d7787f
--- /dev/null
+++ b/src/frontend/tests/end-to-end/assets/flowtest.json
@@ -0,0 +1,217 @@
+{
+  "name": "Lonely Stonebraker",
+  "description": "Design Dialogues with Langflow.",
+  "data": {
+    "nodes": [
+      {
+        "width": 384,
+        "height": 461,
+        "id": "CustomComponent-MtJjl",
+        "type": "genericNode",
+        "position": {
+          "x": 534.3712097224906,
+          "y": -135.01908566635723
+        },
+        "data": {
+          "type": "CustomComponent",
+          "node": {
+            "template": {
+              "code": {
+                "type": "code",
+                "required": true,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": true,
+                "value": "from langflow.custom import CustomComponent\nfrom langflow.field_typing import Data\nfrom pathlib import Path\nfrom platformdirs import user_cache_dir\nimport os\n\nclass Component(CustomComponent):\n    documentation: str = \"http://docs.langflow.org/components/custom\"\n\n    def build_config(self):\n        return {\"text_input\":{\"display_name\":\"Text Input\", \"input_types\":[\"str\"]},\"save_path\":{\"display_name\":\"Save Path\",\n        \"info\":\"Put the full path with the file name and extension\",\"value\":Path(user_cache_dir(\"langflow\"))/\"text.t1.txt\"}}\n\n    def build(self, text_input:str,save_path:str) -> str:\n        try:\n            # Create the directory if it doesn't exist\n            os.makedirs(os.path.dirname(save_path), exist_ok=True)\n\n            # Open the file in write mode and save the text\n            with open(save_path, 'w') as file:\n                file.write(text_input)\n        except Exception as e:\n            raise e\n        self.status = text_input\n        return text_input",
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "code",
+                "advanced": false,
+                "dynamic": true,
+                "info": ""
+              },
+              "save_path": {
+                "type": "str",
+                "required": true,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": false,
+                "value": "/home/vazz/.cache/langflow/text.t1.txt",
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "save_path",
+                "display_name": "Save Path",
+                "advanced": false,
+                "dynamic": false,
+                "info": "Put the full path with the file name and extension"
+              },
+              "text_input": {
+                "type": "str",
+                "required": true,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": false,
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "text_input",
+                "display_name": "Text Input",
+                "advanced": false,
+                "input_types": ["str"],
+                "dynamic": false,
+                "info": "",
+                "value": ""
+              },
+              "_type": "CustomComponent"
+            },
+            "base_classes": ["str"],
+            "display_name": "text checkpoint",
+            "documentation": "http://docs.langflow.org/components/custom",
+            "custom_fields": {
+              "save_path": null,
+              "text_input": null
+            },
+            "output_types": ["str"],
+            "field_formatters": {},
+            "beta": true
+          },
+          "id": "CustomComponent-MtJjl"
+        },
+        "selected": false,
+        "dragging": false,
+        "positionAbsolute": {
+          "x": 534.3712097224906,
+          "y": -135.01908566635723
+        }
+      },
+      {
+        "width": 384,
+        "height": 453,
+        "id": "CustomComponent-7NQoq",
+        "type": "genericNode",
+        "position": {
+          "x": 27.487979888011637,
+          "y": -414.43998171034826
+        },
+        "data": {
+          "type": "CustomComponent",
+          "node": {
+            "template": {
+              "audio": {
+                "type": "file",
+                "required": true,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": false,
+                "fileTypes": [],
+                "file_path": "/home/vazz/.cache/langflow/1b0814b7-2964-4e09-9b4b-f7413c4fb50b/b56b043d8940daecbdec03b97ad4346488c58d7cc62016560dd333aa7a6a12ce.m4a",
+                "password": false,
+                "name": "audio",
+                "display_name": "audio",
+                "advanced": false,
+                "dynamic": false,
+                "info": "",
+                "value": "Audio Recording 2023-12-13 at 16.35.22.m4a"
+              },
+              "OpenAIKey": {
+                "type": "str",
+                "required": true,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": false,
+                "fileTypes": [],
+                "file_path": "",
+                "password": true,
+                "name": "OpenAIKey",
+                "display_name": "OpenAIKey",
+                "advanced": false,
+                "dynamic": false,
+                "info": "",
+                "value": ""
+              },
+              "code": {
+                "type": "code",
+                "required": true,
+                "placeholder": "",
+                "list": false,
+                "show": true,
+                "multiline": true,
+                "value": "from langflow.custom import CustomComponent\nfrom typing import Optional, List, Dict, Union\nfrom langflow.field_typing import (\n    AgentExecutor,\n    BaseChatMemory,\n    BaseLanguageModel,\n    BaseLLM,\n    BaseLoader,\n    BaseMemory,\n    BaseOutputParser,\n    BasePromptTemplate,\n    BaseRetriever,\n    Callable,\n    Chain,\n    ChatPromptTemplate,\n    Data,\n    Document,\n    Embeddings,\n    NestedDict,\n    Object,\n    PromptTemplate,\n    TextSplitter,\n    Tool,\n    VectorStore,\n)\n\nfrom openai import OpenAI\nimport os\nimport ffmpeg\n\nclass Component(CustomComponent):\n    display_name: str = \"Whisper Transcriber\"\n    description: str = \"Converts audio to text using OpenAI's Whisper.\"\n\n    def build_config(self):\n        return {\"audio\": {\"field_type\": \"file\", \"suffixes\": [\".mp3\", \".mp4\", \".m4a\"]}, \"OpenAIKey\": {\"field_type\": \"str\", \"password\": True}}\n\n    def calculate_segment_duration(self, audio_path, target_chunk_size_mb=24):\n        # Calculate the target chunk size in bytes\n        target_chunk_size_bytes = target_chunk_size_mb * 1024 * 1024\n\n        # Use ffprobe to get the audio file information\n        ffprobe_output = ffmpeg.probe(audio_path)\n        print(ffprobe_output)\n        # Convert duration to float\n        duration = float(ffprobe_output[\"format\"][\"duration\"])\n\n        # Calculate the approximate bitrate\n        bitrate = os.path.getsize(audio_path) / duration\n\n        # Calculate the segment duration to achieve the target chunk size\n        segment_duration = target_chunk_size_bytes / bitrate\n\n        return segment_duration\n\n    def split_audio_into_chunks(self, audio_path, target_chunk_size_mb=24):\n        # Calculate the segment duration\n        segment_duration = self.calculate_segment_duration(audio_path, target_chunk_size_mb)\n\n        # Create a directory to store the chunks\n        output_directory = f\"{os.path.splitext(audio_path)[0]}_chunks\"\n        os.makedirs(output_directory, exist_ok=True)\n\n        # Use ffmpeg-python to split the audio file into chunks\n        (\n            ffmpeg.input(audio_path)\n            .output(f\"{output_directory}/%03d{os.path.splitext(audio_path)[1]}\", codec=\"copy\", f=\"segment\", segment_time=segment_duration)\n            .run()\n        )\n\n        # Get the list of generated chunk files\n        chunks = [os.path.join(output_directory, file) for file in os.listdir(output_directory)]\n\n        return chunks\n\n    def build(self, audio: str, OpenAIKey: str) -> str:\n        # Split audio into chunks\n        audio_chunks = self.split_audio_into_chunks(audio)\n\n        client = OpenAI(api_key=OpenAIKey)\n        transcripts = []\n\n        try:\n            for chunk in audio_chunks:\n                with open(chunk, \"rb\") as chunk_file:\n                    transcript = client.audio.transcriptions.create(\n                        model=\"whisper-1\",\n                        file=chunk_file,\n                        response_format=\"text\"\n                    )\n                    transcripts.append(transcript)\n        finally:\n            # Clean up temporary chunk files\n            for chunk in audio_chunks:\n                os.remove(chunk)\n\n        # Concatenate transcripts into the final response\n        final_response = \"\\n\".join(transcripts)\n        self.status = final_response\n        return final_response\n",
+                "fileTypes": [],
+                "file_path": "",
+                "password": false,
+                "name": "code",
+                "advanced": false,
+                "dynamic": true,
+                "info": ""
+              },
+              "_type": "CustomComponent"
+            },
+            "description": "Converts audio to text using OpenAI's Whisper.",
+            "base_classes": ["str"],
+            "display_name": "Whisper Transcriber",
+            "documentation": "",
+            "custom_fields": {
+              "OpenAIKey": null,
+              "audio": null
+            },
+            "output_types": ["str"],
+            "field_formatters": {},
+            "beta": true
+          },
+          "id": "CustomComponent-7NQoq"
+        },
+        "selected": true,
+        "positionAbsolute": {
+          "x": 27.487979888011637,
+          "y": -414.43998171034826
+        },
+        "dragging": false
+      }
+    ],
+    "edges": [
+      {
+        "source": "CustomComponent-7NQoq",
+        "sourceHandle": "{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-7NQoqœ}",
+        "target": "CustomComponent-MtJjl",
+        "targetHandle": "{œfieldNameœ:œtext_inputœ,œidœ:œCustomComponent-MtJjlœ,œinputTypesœ:[œstrœ],œtypeœ:œstrœ}",
+        "data": {
+          "targetHandle": {
+            "fieldName": "text_input",
+            "id": "CustomComponent-MtJjl",
+            "inputTypes": ["str"],
+            "type": "str"
+          },
+          "sourceHandle": {
+            "baseClasses": ["str"],
+            "dataType": "CustomComponent",
+            "id": "CustomComponent-7NQoq"
+          }
+        },
+        "style": {
+          "stroke": "#555"
+        },
+        "className": "stroke-gray-900  stroke-connection",
+        "animated": false,
+        "id": "reactflow__edge-CustomComponent-7NQoq{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-7NQoqœ}-CustomComponent-MtJjl{œfieldNameœ:œtext_inputœ,œidœ:œCustomComponent-MtJjlœ,œinputTypesœ:[œstrœ],œtypeœ:œstrœ}"
+      }
+    ],
+    "viewport": {
+      "x": 119.37759169012509,
+      "y": 351.3082742479685,
+      "zoom": 1
+    }
+  },
+  "is_component": false,
+  "updated_at": "2023-12-13T23:51:56.874099",
+  "folder": null,
+  "id": "1b0814b7-2964-4e09-9b4b-f7413c4fb50b",
+  "user_id": "8b5cf798-f1b8-4108-88fd-d7274d08d471"
+}
diff --git a/src/frontend/tests/end-to-end/assets/test_file.txt b/src/frontend/tests/end-to-end/assets/test_file.txt
new file mode 100644
index 00000000000..68a4528a66e
--- /dev/null
+++ b/src/frontend/tests/end-to-end/assets/test_file.txt
@@ -0,0 +1 @@
+this is a test file
\ No newline at end of file
diff --git a/src/frontend/tests/end-to-end/auto_login.spec.ts b/src/frontend/tests/end-to-end/auto_login.spec.ts
new file mode 100644
index 00000000000..94c2905caa7
--- /dev/null
+++ b/src/frontend/tests/end-to-end/auto_login.spec.ts
@@ -0,0 +1,26 @@
+import { test } from "@playwright/test";
+
+test.describe("Auto_login tests", () => {
+  test("auto_login sign in", async ({ page }) => {
+    await page.goto("/");
+    await page.getByText("New Project", { exact: true }).click();
+  });
+
+  test("auto_login block_admin", async ({ page }) => {
+    await page.goto("/");
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+
+    await page.goto("/login");
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+
+    await page.goto("/admin");
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+
+    await page.goto("/admin/login");
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+  });
+});
diff --git a/src/frontend/tests/end-to-end/basicExamples.spec.ts b/src/frontend/tests/end-to-end/basicExamples.spec.ts
new file mode 100644
index 00000000000..e103fff30f8
--- /dev/null
+++ b/src/frontend/tests/end-to-end/basicExamples.spec.ts
@@ -0,0 +1,452 @@
+import { expect, test } from "@playwright/test";
+import path from "path";
+
+test("Basic Prompting (Hello, World)", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+
+  await page.getByRole("heading", { name: "Basic Prompting" }).click();
+  await page.waitForTimeout(1000);
+
+  await page.getByTitle("fit view").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+
+  if (!process.env.OPENAI_API_KEY) {
+    //You must set the OPENAI_API_KEY on .env file to run this test
+    expect(false).toBe(true);
+  }
+
+  await page
+    .getByTestId("popover-anchor-input-openai_api_key")
+    .fill(process.env.OPENAI_API_KEY ?? "");
+
+  await page.getByTestId("button_run_chat output").click();
+  await page.waitForTimeout(1000);
+  await page.getByText("built successfully").last().click({
+    timeout: 15000,
+  });
+
+  await page.getByText("Playground", { exact: true }).click();
+  await page
+    .getByText("No input message provided.", { exact: true })
+    .last()
+    .isVisible();
+  await page
+    .getByPlaceholder("Send a message...")
+    .last()
+    .fill("Say hello as a pirate");
+  await page.getByTestId("icon-LucideSend").last().click();
+  await page.waitForTimeout(3000);
+
+  await page.getByText("Ahoy").last().isVisible();
+  await page.getByText("Default Session").last().click();
+
+  await page.getByText("timestamp", { exact: true }).last().isVisible();
+  await page.getByText("text", { exact: true }).last().isVisible();
+  await page.getByText("sender", { exact: true }).last().isVisible();
+  await page.getByText("sender_name", { exact: true }).last().isVisible();
+  await page.getByText("session_id", { exact: true }).last().isVisible();
+  await page.getByText("files", { exact: true }).last().isVisible();
+
+  await page.getByRole("gridcell").last().isVisible();
+  await page.getByTestId("icon-Trash2").first().click();
+  await page.getByPlaceholder("Send a message...").last().isVisible();
+});
+
+test("Memory Chatbot", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+
+  await page.getByRole("heading", { name: "Memory Chatbot" }).click();
+  await page.waitForTimeout(1000);
+
+  await page.getByTitle("fit view").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+
+  if (!process.env.OPENAI_API_KEY) {
+    //You must set the OPENAI_API_KEY on .env file to run this test
+    expect(false).toBe(true);
+  }
+
+  await page
+    .getByTestId("popover-anchor-input-openai_api_key")
+    .fill(process.env.OPENAI_API_KEY ?? "");
+
+  await page.getByTestId("button_run_chat output").click();
+  await page.waitForTimeout(1000);
+  await page.getByText("built successfully").last().click({
+    timeout: 15000,
+  });
+
+  await page.getByText("Playground", { exact: true }).click();
+  await page
+    .getByText("No input message provided.", { exact: true })
+    .last()
+    .isVisible();
+  await page
+    .getByPlaceholder("Send a message...")
+    .last()
+    .fill("Remember that I'm a lion");
+  await page.getByTestId("icon-LucideSend").last().click();
+  await page.waitForTimeout(3000);
+  await page
+    .getByPlaceholder("Send a message...")
+    .last()
+    .fill("try reproduce the sound I made in words");
+  await page.getByTestId("icon-LucideSend").last().click();
+  await page.waitForTimeout(3000);
+  await page.getByText("roar").last().isVisible();
+  await page.getByText("Default Session").last().click();
+
+  await page.getByText("timestamp", { exact: true }).last().isVisible();
+  await page.getByText("text", { exact: true }).last().isVisible();
+  await page.getByText("sender", { exact: true }).last().isVisible();
+  await page.getByText("sender_name", { exact: true }).last().isVisible();
+  await page.getByText("session_id", { exact: true }).last().isVisible();
+  await page.getByText("files", { exact: true }).last().isVisible();
+
+  await page.getByRole("gridcell").last().isVisible();
+  await page.getByTestId("icon-Trash2").first().click();
+  await page.getByPlaceholder("Send a message...").last().isVisible();
+});
+
+test("Document QA", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+
+  await page.getByRole("heading", { name: "Document QA" }).click();
+  await page.waitForTimeout(1000);
+
+  await page.getByTitle("fit view").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+
+  if (!process.env.OPENAI_API_KEY) {
+    //You must set the OPENAI_API_KEY on .env file to run this test
+    expect(false).toBe(true);
+  }
+
+  await page
+    .getByTestId("popover-anchor-input-openai_api_key")
+    .fill(process.env.OPENAI_API_KEY ?? "");
+
+  const fileChooserPromise = page.waitForEvent("filechooser");
+  await page.getByTestId("icon-FileSearch2").click();
+  const fileChooser = await fileChooserPromise;
+  await fileChooser.setFiles(path.join(__dirname, "/assets/test_file.txt"));
+  await page.getByText("test_file.txt").isVisible();
+
+  await page.waitForTimeout(2000);
+
+  await page.getByTestId("button_run_chat output").click();
+  await page.getByText("built successfully").last().click({
+    timeout: 15000,
+  });
+
+  await page.getByText("Playground", { exact: true }).click();
+  await page
+    .getByText("No input message provided.", { exact: true })
+    .last()
+    .isVisible();
+
+  await page
+    .getByPlaceholder("Send a message...")
+    .last()
+    .fill("whats the text in the file?");
+  await page.getByTestId("icon-LucideSend").last().click();
+
+  await page.waitForTimeout(3000);
+
+  await page.getByText("this is a test file").last().isVisible();
+
+  await page.getByText("Default Session").last().click();
+
+  await page.getByText("timestamp", { exact: true }).last().isVisible();
+  await page.getByText("text", { exact: true }).last().isVisible();
+  await page.getByText("sender", { exact: true }).last().isVisible();
+  await page.getByText("sender_name", { exact: true }).last().isVisible();
+  await page.getByText("session_id", { exact: true }).last().isVisible();
+  await page.getByText("files", { exact: true }).last().isVisible();
+
+  await page.getByRole("gridcell").last().isVisible();
+  await page.getByTestId("icon-Trash2").first().click();
+  await page.getByPlaceholder("Send a message...").last().isVisible();
+});
+
+test("Blog Writer", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+
+  await page.getByRole("heading", { name: "Blog Writer" }).click();
+  await page.waitForTimeout(1000);
+
+  await page.getByTitle("fit view").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+
+  if (!process.env.OPENAI_API_KEY) {
+    //You must set the OPENAI_API_KEY on .env file to run this test
+    expect(false).toBe(true);
+  }
+
+  await page
+    .getByTestId("popover-anchor-input-openai_api_key")
+    .fill(process.env.OPENAI_API_KEY ?? "");
+
+  await page
+    .getByTestId("input-list-input_urls-0")
+    .nth(0)
+    .fill(
+      "https://www.natgeokids.com/uk/discover/animals/sea-life/turtle-facts/",
+    );
+  await page
+    .getByTestId("input-list-input_urls-0")
+    .nth(1)
+    .fill("https://www.originaldiving.com/blog/top-ten-turtle-facts");
+
+  await page
+    .getByTestId("textarea-input_value")
+    .nth(0)
+    .fill(
+      "Use the references above for style to write a new blog/tutorial about turtles. Suggest non-covered topics.",
+    );
+
+  await page.getByTestId("button_run_chat output").click();
+  await page.waitForTimeout(5000);
+  await page.getByText("built successfully").last().click({
+    timeout: 15000,
+  });
+
+  await page.getByText("Playground", { exact: true }).click();
+  await page
+    .getByPlaceholder(
+      "No chat input variables found. Click to run your flow.",
+      { exact: true },
+    )
+    .last()
+    .isVisible();
+
+  await page.waitForTimeout(3000);
+
+  await page.getByText("turtles").last().isVisible();
+  await page.getByText("sea").last().isVisible();
+  await page.getByText("survival").last().isVisible();
+
+  await page.getByText("Instructions").last().click();
+
+  const value = await page
+    .getByPlaceholder("Enter text...")
+    .last()
+    .inputValue();
+
+  expect(value).toBe(
+    "Use the references above for style to write a new blog/tutorial about turtles. Suggest non-covered topics.",
+  );
+
+  await page.getByTestId("icon-ExternalLink").last().click();
+
+  const count = await page
+    .getByText(
+      "Use the references above for style to write a new blog/tutorial about turtles. Suggest non-covered topics.",
+    )
+    .count();
+
+  if (count <= 1) {
+    expect(false).toBe(true);
+  }
+});
+
+test("Vector Store RAG", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+
+  await page.getByRole("heading", { name: "Vector Store RAG" }).click();
+  await page.waitForTimeout(1000);
+
+  await page.getByTitle("fit view").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+
+  if (
+    !process.env.OPENAI_API_KEY ||
+    !process.env.ASTRA_DB_API_ENDPOINT ||
+    !process.env.ASTRA_DB_APPLICATION_TOKEN
+  ) {
+    //You must set the OPENAI_API_KEY, ASTRA_DB_API_ENDPOINT and ASTRA_DB_APPLICATION_TOKEN on .env file to run this test
+    expect(false).toBe(true);
+  }
+
+  await page
+    .getByTestId("popover-anchor-input-openai_api_key")
+    .nth(0)
+    .fill(process.env.OPENAI_API_KEY ?? "");
+
+  await page
+    .getByTestId("popover-anchor-input-openai_api_key")
+    .nth(1)
+    .fill(process.env.OPENAI_API_KEY ?? "");
+
+  await page
+    .getByTestId("popover-anchor-input-openai_api_key")
+    .nth(2)
+    .fill(process.env.OPENAI_API_KEY ?? "");
+
+  await page
+    .getByTestId("popover-anchor-input-token")
+    .nth(0)
+    .fill(process.env.ASTRA_DB_APPLICATION_TOKEN ?? "");
+  await page
+    .getByTestId("popover-anchor-input-token")
+    .nth(1)
+    .fill(process.env.ASTRA_DB_APPLICATION_TOKEN ?? "");
+
+  await page
+    .getByTestId("popover-anchor-input-api_endpoint")
+    .nth(0)
+    .fill(process.env.ASTRA_DB_API_ENDPOINT ?? "");
+  await page
+    .getByTestId("popover-anchor-input-api_endpoint")
+    .nth(1)
+    .fill(process.env.ASTRA_DB_API_ENDPOINT ?? "");
+
+  const fileChooserPromise = page.waitForEvent("filechooser");
+  await page.getByTestId("icon-FileSearch2").last().click();
+  const fileChooser = await fileChooserPromise;
+  await fileChooser.setFiles(path.join(__dirname, "/assets/test_file.txt"));
+  await page.getByText("test_file.txt").isVisible();
+  await page.waitForTimeout(2000);
+
+  await page.getByTestId("button_run_astra db vector store").first().click();
+  await page
+    .getByText("Astra DB Vector Store built successfully")
+    .last()
+    .click({
+      timeout: 15000,
+    });
+
+  await page.getByTestId("button_run_chat output").click();
+  await page.getByText("built successfully").last().click({
+    timeout: 15000,
+  });
+
+  await page.getByText("Playground", { exact: true }).click();
+
+  await page.getByPlaceholder("Send a message...").last().fill("hello");
+
+  await page.getByTestId("icon-LucideSend").last().click();
+
+  await page
+    .getByText("This is a test file.", { exact: true })
+    .last()
+    .isVisible();
+
+  await page.getByText("Extracted Chunks", { exact: true }).last().click();
+
+  const inputChunksValues = await page.getByPlaceholder("Empty").inputValue();
+  expect(inputChunksValues).toBe(
+    "this is a test file---this is a test file---this is a test file---this is a test file",
+  );
+
+  await page.getByTestId("icon-ExternalLink").last().click();
+  await page.getByPlaceholder("Send a message...").last().isHidden();
+  await page.getByText("Memories", { exact: true }).last().click();
+  await page.getByText("Default Session").last().click();
+
+  await page.getByText("timestamp", { exact: true }).last().isVisible();
+  await page.getByText("text", { exact: true }).last().isVisible();
+  await page.getByText("sender", { exact: true }).last().isVisible();
+  await page.getByText("sender_name", { exact: true }).last().isVisible();
+  await page.getByText("session_id", { exact: true }).last().isVisible();
+  await page.getByText("files", { exact: true }).last().isVisible();
+
+  await page.getByRole("gridcell").last().isVisible();
+  await page.getByTestId("icon-Trash2").first().click();
+  await page.getByPlaceholder("Send a message...").last().isVisible();
+});
diff --git a/src/frontend/tests/end-to-end/chatInputOutput.spec.ts b/src/frontend/tests/end-to-end/chatInputOutput.spec.ts
new file mode 100644
index 00000000000..e711780408e
--- /dev/null
+++ b/src/frontend/tests/end-to-end/chatInputOutput.spec.ts
@@ -0,0 +1,89 @@
+import { expect, test } from "@playwright/test";
+import { readFileSync } from "fs";
+
+test("chat_io_teste", async ({ page }) => {
+  await page.goto("/");
+  await page.locator("span").filter({ hasText: "My Collection" }).isVisible();
+  await page.waitForTimeout(2000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+
+  const jsonContent = readFileSync(
+    "src/frontend/tests/end-to-end/assets/ChatTest.json",
+    "utf-8",
+  );
+
+  await page.getByTestId("blank-flow").click();
+  await page.waitForTimeout(3000);
+  await page.getByTestId("extended-disclosure").click();
+  await page.getByPlaceholder("Search").click();
+  await page.getByPlaceholder("Search").fill("chat output");
+  await page.waitForTimeout(1000);
+
+  await page
+    .getByTestId("outputsChat Output")
+    .dragTo(page.locator('//*[@id="react-flow-id"]'));
+  await page.mouse.up();
+  await page.mouse.down();
+
+  await page.getByPlaceholder("Search").click();
+  await page.getByPlaceholder("Search").fill("chat input");
+  await page.waitForTimeout(1000);
+
+  await page
+    .getByTestId("inputsChat Input")
+    .dragTo(page.locator('//*[@id="react-flow-id"]'));
+  await page.mouse.up();
+  await page.mouse.down();
+
+  await page.getByTitle("fit view").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+
+  // Click and hold on the first element
+  await page
+    .locator(
+      '//*[@id="react-flow-id"]/div/div[1]/div/div/div[2]/div[2]/div/div[2]/div[9]/button/div[1]',
+    )
+    .hover();
+  await page.mouse.down();
+
+  // Move to the second element
+  await page
+    .locator(
+      '//*[@id="react-flow-id"]/div/div[1]/div/div/div[2]/div[1]/div/div[2]/div[3]/div/button/div[1]',
+    )
+    .hover();
+
+  // Release the mouse
+  await page.mouse.up();
+
+  await page.getByLabel("fit view").click();
+  await page.getByText("Playground", { exact: true }).click();
+  await page.getByPlaceholder("Send a message...").click();
+  await page.getByPlaceholder("Send a message...").fill("teste");
+  await page.getByRole("button").nth(1).click();
+  const chat_output = page.getByTestId("chat-message-AI-teste");
+  const chat_input = page.getByTestId("chat-message-User-teste");
+  await expect(chat_output).toHaveText("teste");
+  await expect(chat_input).toHaveText("teste");
+});
diff --git a/src/frontend/tests/end-to-end/chatInputOutputUser.spec.ts b/src/frontend/tests/end-to-end/chatInputOutputUser.spec.ts
new file mode 100644
index 00000000000..4de3c49e59e
--- /dev/null
+++ b/src/frontend/tests/end-to-end/chatInputOutputUser.spec.ts
@@ -0,0 +1,237 @@
+import { expect, test } from "@playwright/test";
+import * as dotenv from "dotenv";
+import { readFileSync } from "fs";
+import path from "path";
+
+test("user must interact with chat with Input/Output", async ({ page }) => {
+  if (!process.env.CI) {
+    dotenv.config({ path: path.resolve(__dirname, "../../.env") });
+  }
+
+  await page.goto("/");
+
+  await page.waitForTimeout(1000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+
+  await page.getByRole("heading", { name: "Basic Prompting" }).click();
+  await page.waitForTimeout(1000);
+
+  await page.getByTitle("fit view").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+
+  if (!process.env.OPENAI_API_KEY) {
+    //You must set the OPENAI_API_KEY on .env file to run this test
+    expect(false).toBe(true);
+  }
+
+  await page
+    .getByTestId("popover-anchor-input-openai_api_key")
+    .fill(process.env.OPENAI_API_KEY ?? "");
+  await page.getByText("Playground", { exact: true }).click();
+  await page.getByPlaceholder("Send a message...").fill("Hello, how are you?");
+  await page.getByTestId("icon-LucideSend").click();
+  let valueUser = await page.getByTestId("sender_name_user").textContent();
+  let valueAI = await page.getByTestId("sender_name_ai").textContent();
+
+  expect(valueUser).toBe("User");
+  expect(valueAI).toBe("AI");
+
+  await page
+    .getByTestId("textarea-input_value")
+    .nth(1)
+    .fill(
+      "testtesttesttesttesttestte;.;.,;,.;,.;.,;,..,;;;;;;;;;;;;;;;;;;;;;,;.;,.;,.,;.,;.;.,~~çççççççççççççççççççççççççççççççççççççççisdajfdasiopjfaodisjhvoicxjiovjcxizopjviopasjioasfhjaiohf23432432432423423sttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttestççççççççççççççççççççççççççççççççç,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,!",
+    );
+  await page.getByText("Playground", { exact: true }).last().click();
+  await page.getByTestId("icon-LucideSend").click();
+  await page.getByText("Close", { exact: true }).click();
+  await page.getByText("Chat Input", { exact: true }).click();
+  await page.getByTestId("advanced-button-modal").click();
+  await page.getByTestId("showsender_name").click();
+  await page.getByText("Save Changes", { exact: true }).click();
+
+  await page.getByText("Chat Output", { exact: true }).click();
+  await page.getByTestId("advanced-button-modal").click();
+  await page.getByTestId("showsender_name").click();
+  await page.getByText("Save Changes", { exact: true }).click();
+
+  await page
+    .getByTestId("textarea-sender_name")
+    .nth(1)
+    .fill("TestSenderNameUser");
+  await page
+    .getByTestId("textarea-sender_name")
+    .nth(0)
+    .fill("TestSenderNameAI");
+
+  await page.getByText("Playground", { exact: true }).last().click();
+  await page.getByTestId("icon-LucideSend").click();
+
+  valueUser = await page
+    .getByTestId("sender_name_testsendernameuser")
+    .textContent();
+  valueAI = await page
+    .getByTestId("sender_name_testsendernameai")
+    .textContent();
+
+  expect(valueUser).toBe("TestSenderNameUser");
+  expect(valueAI).toBe("TestSenderNameAI");
+
+  expect(
+    await page
+      .getByText(
+        "testtesttesttesttesttestte;.;.,;,.;,.;.,;,..,;;;;;;;;;;;;;;;;;;;;;,;.;,.;,.,;.,;.;.,~~çççççççççççççççççççççççççççççççççççççççisdajfdasiopjfaodisjhvoicxjiovjcxizopjviopasjioasfhjaiohf23432432432423423sttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttestççççççççççççççççççççççççççççççççç,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,!",
+        { exact: true },
+      )
+      .isVisible(),
+  );
+});
+
+test("user must be able to see output inspection", async ({ page }) => {
+  if (!process.env.CI) {
+    dotenv.config({ path: path.resolve(__dirname, "../../.env") });
+  }
+
+  await page.goto("/");
+
+  await page.waitForTimeout(1000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+
+  await page.getByRole("heading", { name: "Basic Prompting" }).click();
+  await page.waitForTimeout(1000);
+
+  await page.getByTitle("fit view").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+
+  if (!process.env.OPENAI_API_KEY) {
+    //You must set the OPENAI_API_KEY on .env file to run this test
+    expect(false).toBe(true);
+  }
+
+  await page
+    .getByTestId("popover-anchor-input-openai_api_key")
+    .fill(process.env.OPENAI_API_KEY ?? "");
+
+  await page.getByTestId("button_run_chat output").last().click();
+
+  await page.waitForTimeout(5000);
+
+  await page.getByTestId("icon-ScanEye").nth(4).click();
+
+  await page.getByText("Sender", { exact: true }).isVisible();
+  await page.getByText("Type", { exact: true }).isVisible();
+  await page.getByText("User", { exact: true }).last().isVisible();
+});
+
+test("user must be able to send an image on chat", async ({ page }) => {
+  if (!process.env.CI) {
+    dotenv.config({ path: path.resolve(__dirname, "../../.env") });
+  }
+
+  await page.goto("/");
+
+  await page.waitForTimeout(1000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+
+  await page.getByRole("heading", { name: "Basic Prompting" }).click();
+  await page.waitForTimeout(1000);
+
+  await page.getByTitle("fit view").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+
+  if (!process.env.OPENAI_API_KEY) {
+    //You must set the OPENAI_API_KEY on .env file to run this test
+    expect(false).toBe(true);
+  }
+
+  await page
+    .getByTestId("popover-anchor-input-openai_api_key")
+    .fill(process.env.OPENAI_API_KEY ?? "");
+
+  await page.getByText("Chat Input", { exact: true }).click();
+  await page.getByTestId("more-options-modal").click();
+  await page.getByTestId("edit-button-modal").click();
+  await page.getByText("Save Changes").click();
+
+  await page.getByText("Playground", { exact: true }).click();
+
+  const jsonContent = readFileSync(
+    "src/frontend/tests/end-to-end/assets/chain.png",
+    "utf-8",
+  );
+
+  // Create the DataTransfer and File
+  const dataTransfer = await page.evaluateHandle((data) => {
+    const dt = new DataTransfer();
+    // Convert the buffer to a hex array
+    const file = new File([data], "chain.png", {
+      type: "application/json",
+    });
+    dt.items.add(file);
+    return dt;
+  }, jsonContent);
+
+  const element = await page.getByPlaceholder("Send a message...");
+
+  await element.dispatchEvent("drop", { dataTransfer });
+
+  await page.getByText("chain.png").isVisible();
+  await page.getByTestId("icon-LucideSend").click();
+  await page.waitForTimeout(2000);
+  await page.getByText("chain.png").isVisible();
+
+  await page.getByText("Close", { exact: true }).click();
+  await page.getByTestId("icon-ScanEye").nth(4).click();
+  await page.getByText("Restart").isHidden();
+});
diff --git a/src/frontend/tests/end-to-end/codeAreaModalComponent.spec.ts b/src/frontend/tests/end-to-end/codeAreaModalComponent.spec.ts
index 8a604bd3d38..6d9ac2d02a9 100644
--- a/src/frontend/tests/end-to-end/codeAreaModalComponent.spec.ts
+++ b/src/frontend/tests/end-to-end/codeAreaModalComponent.spec.ts
@@ -1,134 +1,83 @@
-import { expect, test } from "@playwright/test";
+import { test } from "@playwright/test";
 
 test("CodeAreaModalComponent", async ({ page }) => {
-  await page.goto("http://localhost:3000/");
+  await page.goto("/");
   await page.waitForTimeout(2000);
 
-  await page.locator('//*[@id="new-project-btn"]').click();
-  await page.waitForTimeout(2000);
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
 
+  await page.waitForTimeout(1000);
+
+  await page.getByTestId("blank-flow").click();
+  await page.waitForTimeout(3000);
+  await page.getByTestId("extended-disclosure").click();
   await page.getByPlaceholder("Search").click();
-  await page.getByPlaceholder("Search").fill("pythonfunctiontool");
+  await page.getByPlaceholder("Search").fill("python function");
 
-  await page.waitForTimeout(2000);
+  await page.waitForTimeout(1000);
 
   await page
-    .getByTestId("toolsPythonFunctionTool")
+    .getByTestId("experimentalPython Function")
     .dragTo(page.locator('//*[@id="react-flow-id"]'));
   await page.mouse.up();
   await page.mouse.down();
+  await page.getByTitle("fit view").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTestId("div-generic-node").click();
 
-  await page.locator('//*[@id="code-input-0"]').click();
-
-  let value = await page.locator('//*[@id="codeValue"]').inputValue();
-
-  if (
-    value !=
-    'def python_function(text: str) -> str:    """This is a default python function that returns the input text"""    return text'
-  ) {
-    expect(false).toBeTruthy();
-  }
-
-  await page.locator('//*[@id="checkAndSaveBtn"]').click();
-
-  await page.getByTestId("more-options-modal").click();
-  await page.getByTestId("edit-button-modal").click();
-
-  await page.locator('//*[@id="showcode"]').click();
-  expect(await page.locator('//*[@id="showcode"]').isChecked()).toBeFalsy();
-
-  await page.locator('//*[@id="showdescription"]').click();
-  expect(
-    await page.locator('//*[@id="showdescription"]').isChecked()
-  ).toBeFalsy();
-
-  await page.locator('//*[@id="showname"]').click();
-  expect(await page.locator('//*[@id="showname"]').isChecked()).toBeFalsy();
-
-  await page.locator('//*[@id="showreturn_direct"]').click();
-  expect(
-    await page.locator('//*[@id="showreturn_direct"]').isChecked()
-  ).toBeFalsy();
-
-  await page.locator('//*[@id="showcode"]').click();
-  expect(await page.locator('//*[@id="showcode"]').isChecked()).toBeTruthy();
-
-  await page.locator('//*[@id="showdescription"]').click();
-  expect(
-    await page.locator('//*[@id="showdescription"]').isChecked()
-  ).toBeTruthy();
-
-  await page.locator('//*[@id="showname"]').click();
-  expect(await page.locator('//*[@id="showname"]').isChecked()).toBeTruthy();
+  await page.getByTestId("code-button-modal").click();
 
-  await page.locator('//*[@id="showreturn_direct"]').click();
-  expect(
-    await page.locator('//*[@id="showreturn_direct"]').isChecked()
-  ).toBeTruthy();
+  const wCode =
+    'def python_function(text: str) -> st:    """This is a default python function that returns the input text"""    return text';
 
-  await page.locator('//*[@id="showcode"]').click();
-  expect(await page.locator('//*[@id="showcode"]').isChecked()).toBeFalsy();
+  const customComponentCode = `from typing import Callable
+from langflow.field_typing import Code
+from langflow.interface.custom.custom_component import CustomComponent
+from langflow.interface.custom.utils import get_function
 
-  await page.locator('//*[@id="showdescription"]').click();
-  expect(
-    await page.locator('//*[@id="showdescription"]').isChecked()
-  ).toBeFalsy();
+class PythonFunctionComponent(CustomComponent):
+    def python_function(text: str) -> str:
+        """This is a default python function that returns the input text"""
+        return text`;
 
-  await page.locator('//*[@id="showname"]').click();
-  expect(await page.locator('//*[@id="showname"]').isChecked()).toBeFalsy();
-
-  await page.locator('//*[@id="showreturn_direct"]').click();
-  expect(
-    await page.locator('//*[@id="showreturn_direct"]').isChecked()
-  ).toBeFalsy();
-
-  await page.locator('//*[@id="showcode"]').click();
-  expect(await page.locator('//*[@id="showcode"]').isChecked()).toBeTruthy();
-
-  await page.locator('//*[@id="showdescription"]').click();
-  expect(
-    await page.locator('//*[@id="showdescription"]').isChecked()
-  ).toBeTruthy();
-
-  await page.locator('//*[@id="showname"]').click();
-  expect(await page.locator('//*[@id="showname"]').isChecked()).toBeTruthy();
-
-  await page.locator('//*[@id="showreturn_direct"]').click();
-  expect(
-    await page.locator('//*[@id="showreturn_direct"]').isChecked()
-  ).toBeTruthy();
-
-  await page.locator('//*[@id="showcode"]').click();
-  expect(await page.locator('//*[@id="showcode"]').isChecked()).toBeFalsy();
-
-  await page.locator('//*[@id="saveChangesBtn"]').click();
-
-  const plusButtonLocator = page.locator('//*[@id="code-input-0"]');
-  const elementCount = await plusButtonLocator.count();
-  if (elementCount === 0) {
-    expect(true).toBeTruthy();
-
-    await page.getByTestId("more-options-modal").click();
-    await page.getByTestId("edit-button-modal").click();
-
-    await page.locator('//*[@id="showcode"]').click();
-    expect(await page.locator('//*[@id="showcode"]').isChecked()).toBeTruthy();
-
-    await page.locator('//*[@id="code-area-edit0"]').click();
-
-    let value = await page.locator('//*[@id="codeValue"]').inputValue();
-
-    if (
-      value !=
-      'def python_function(text: str) -> str:    """This is a default python function that returns the input text"""    return text'
-    ) {
-      expect(false).toBeTruthy();
-    }
-
-    await page.locator('//*[@id="checkAndSaveBtn"]').click();
+  await page
+    .locator("#CodeEditor div")
+    .filter({ hasText: "PythonFunctionComponent" })
+    .nth(1)
+    .click();
+  await page.locator("textarea").press("Control+a");
+  await page.locator("textarea").fill(wCode);
+  await page.locator('//*[@id="checkAndSaveBtn"]').click();
+  await page.waitForTimeout(1000);
+  // expect(
+  //   await page.getByText("invalid syntax (<unknown>, line 1)").isVisible()
+  // ).toBeTruthy();
+  await page.locator("textarea").press("Control+a");
+  await page.locator("textarea").fill(wCode);
+  await page.locator("textarea").fill(customComponentCode);
+  await page.locator('//*[@id="checkAndSaveBtn"]').click();
+  await page.waitForTimeout(1000);
 
-    await page.locator('//*[@id="saveChangesBtn"]').click();
+  // await page.getByTestId("code-button-modal").click();
+  // const inputCodeValue = await page
+  //   .locator('//*[@id="codeValue"]')
+  //   .inputValue();
 
-    await page.locator('//*[@id="code-input-0"]').click();
-  }
+  // expect(inputCodeValue).toContain("def python_function(text: str) -> str");
 });
diff --git a/src/frontend/tests/end-to-end/curl_api_generation.spec.ts b/src/frontend/tests/end-to-end/curl_api_generation.spec.ts
new file mode 100644
index 00000000000..396962afe08
--- /dev/null
+++ b/src/frontend/tests/end-to-end/curl_api_generation.spec.ts
@@ -0,0 +1,30 @@
+import { expect, test } from "@playwright/test";
+
+test("curl_api_generation", async ({ page, context }) => {
+  await page.goto("/");
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+  await page.getByRole("heading", { name: "Basic Prompting" }).click();
+  await page.waitForTimeout(2000);
+  await page.getByText("API", { exact: true }).click();
+  await page.getByRole("tab", { name: "cURL" }).click();
+  await page.getByTestId("icon-Copy").last().click();
+  const handle = await page.evaluateHandle(() =>
+    navigator.clipboard.readText(),
+  );
+  const clipboardContent = await handle.jsonValue();
+  expect(clipboardContent.length).toBeGreaterThan(0);
+});
diff --git a/src/frontend/tests/end-to-end/deleteComponentFlows.spec.ts b/src/frontend/tests/end-to-end/deleteComponentFlows.spec.ts
new file mode 100644
index 00000000000..7992dcb6e26
--- /dev/null
+++ b/src/frontend/tests/end-to-end/deleteComponentFlows.spec.ts
@@ -0,0 +1,47 @@
+import { test } from "@playwright/test";
+
+test("should delete a flow", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+  await page.getByText("Store").nth(0).click();
+
+  await page.getByText("API Key", { exact: true }).click();
+  await page
+    .getByPlaceholder("Insert your API Key", { exact: true })
+    .fill(process.env.STORE_API_KEY ?? "");
+  await page.getByText("Save").last().click();
+  await page.waitForTimeout(8000);
+  await page.getByText("Store").nth(0).click();
+
+  await page.getByTestId("install-Website Content QA").click();
+  await page.waitForTimeout(5000);
+  await page.getByText("My Collection").nth(0).click();
+  await page.getByText("Website Content QA").first().isVisible();
+  await page.getByLabel("checkbox-component").first().click();
+  await page.getByTestId("icon-Trash2").click();
+  await page
+    .getByText("Are you sure you want to delete the selected component?")
+    .isVisible();
+  await page.getByText("Delete").nth(1).click();
+  await page.waitForTimeout(1000);
+  await page.getByText("Successfully").first().isVisible();
+});
+
+test("should delete a component", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+  await page.getByText("Store").nth(0).click();
+  await page.getByTestId("install-Basic RAG").click();
+  await page.waitForTimeout(5000);
+  await page.getByText("My Collection").nth(0).click();
+  await page.getByText("Components").first().click();
+  await page.getByText("Basic RAG").first().isVisible();
+  await page.getByLabel("checkbox-component").first().click();
+  await page.getByTestId("icon-Trash2").click();
+  await page
+    .getByText("Are you sure you want to delete the selected component?")
+    .isVisible();
+  await page.getByText("Delete").nth(1).click();
+  await page.waitForTimeout(1000);
+  await page.getByText("Successfully").first().isVisible();
+});
diff --git a/src/frontend/tests/end-to-end/dragAndDrop.spec.ts b/src/frontend/tests/end-to-end/dragAndDrop.spec.ts
new file mode 100644
index 00000000000..03d11aaf721
--- /dev/null
+++ b/src/frontend/tests/end-to-end/dragAndDrop.spec.ts
@@ -0,0 +1,59 @@
+import { expect, test } from "@playwright/test";
+import { readFileSync } from "fs";
+
+test.describe("drag and drop test", () => {
+  /// <reference lib="dom"/>
+  test("drop collection", async ({ page }) => {
+    await page.goto("/");
+
+    let modalCount = 0;
+    try {
+      const modalTitleElement = await page?.getByTestId("modal-title");
+      if (modalTitleElement) {
+        modalCount = await modalTitleElement.count();
+      }
+    } catch (error) {
+      modalCount = 0;
+    }
+
+    while (modalCount === 0) {
+      await page.getByText("New Project", { exact: true }).click();
+      await page.waitForTimeout(5000);
+      modalCount = await page.getByTestId("modal-title")?.count();
+    }
+    await page.locator("span").filter({ hasText: "Close" }).first().click();
+
+    await page.locator("span").filter({ hasText: "My Collection" }).isVisible();
+    // Read your file into a buffer.
+    const jsonContent = readFileSync(
+      "src/frontend/tests/end-to-end/assets/collection.json",
+      "utf-8",
+    );
+
+    // Create the DataTransfer and File
+    const dataTransfer = await page.evaluateHandle((data) => {
+      const dt = new DataTransfer();
+      // Convert the buffer to a hex array
+      const file = new File([data], "flowtest.json", {
+        type: "application/json",
+      });
+      dt.items.add(file);
+      return dt;
+    }, jsonContent);
+
+    // Now dispatch
+    await page.dispatchEvent(
+      '//*[@id="root"]/div/div[1]/div[2]/div[3]/div/div',
+      "drop",
+      {
+        dataTransfer,
+      },
+    );
+
+    const genericNoda = page.getByTestId("div-generic-node");
+    const elementCount = await genericNoda?.count();
+    if (elementCount > 0) {
+      expect(true).toBeTruthy();
+    }
+  });
+});
diff --git a/src/frontend/tests/end-to-end/dropdownComponent.spec.ts b/src/frontend/tests/end-to-end/dropdownComponent.spec.ts
new file mode 100644
index 00000000000..9e3fafa362d
--- /dev/null
+++ b/src/frontend/tests/end-to-end/dropdownComponent.spec.ts
@@ -0,0 +1,295 @@
+import { expect, test } from "@playwright/test";
+
+test("dropDownComponent", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+  await page.waitForTimeout(1000);
+
+  await page.getByTestId("blank-flow").click();
+  await page.waitForTimeout(3000);
+
+  await page.getByTestId("extended-disclosure").click();
+  await page.getByPlaceholder("Search").click();
+  await page.getByPlaceholder("Search").fill("amazon");
+
+  await page.waitForTimeout(1000);
+
+  await page
+    .getByTestId("modelsAmazon Bedrock")
+    .first()
+    .dragTo(page.locator('//*[@id="react-flow-id"]'));
+  await page.mouse.up();
+  await page.mouse.down();
+  await page.getByTitle("fit view").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTestId("title-Amazon Bedrock").click();
+
+  await page.getByTestId("dropdown-model_id").click();
+
+  await page.getByTestId("value-dropdown-dropdown-model_id").click();
+
+  let value = await page
+    .getByTestId("value-dropdown-dropdown-model_id")
+    .first()
+    .innerText();
+  if (value !== "anthropic.claude-3-haiku-20240307-v1:0") {
+    expect(false).toBeTruthy();
+  }
+
+  await page.getByTestId("dropdown-model_id").click();
+  await page.getByText("anthropic.claude-v2").last().click();
+
+  value = await page.getByTestId("dropdown-model_id").innerText();
+  if (value !== "anthropic.claude-v2:1") {
+    expect(false).toBeTruthy();
+  }
+
+  await page.waitForTimeout(1000);
+
+  await page.getByTestId("more-options-modal").click();
+  await page.getByTestId("edit-button-modal").click();
+
+  value = await page.getByTestId("dropdown-edit-model_id").innerText();
+  if (value !== "anthropic.claude-v2:1") {
+    expect(false).toBeTruthy();
+  }
+
+  await page.locator('//*[@id="showcache"]').click();
+  expect(await page.locator('//*[@id="showcache"]').isChecked()).toBeFalsy();
+
+  await page.locator('//*[@id="showcache"]').click();
+  expect(await page.locator('//*[@id="showcache"]').isChecked()).toBeTruthy();
+
+  await page.locator('//*[@id="showcredentials_profile_name"]').click();
+  expect(
+    await page.locator('//*[@id="showcredentials_profile_name"]').isChecked(),
+  ).toBeFalsy();
+
+  await page.locator('//*[@id="showcredentials_profile_name"]').click();
+  expect(
+    await page.locator('//*[@id="showcredentials_profile_name"]').isChecked(),
+  ).toBeTruthy();
+
+  await page.locator('//*[@id="showendpoint_url"]').click();
+  expect(
+    await page.locator('//*[@id="showendpoint_url"]').isChecked(),
+  ).toBeFalsy();
+
+  await page.locator('//*[@id="showendpoint_url"]').click();
+  expect(
+    await page.locator('//*[@id="showendpoint_url"]').isChecked(),
+  ).toBeTruthy();
+
+  await page.locator('//*[@id="showregion_name"]').click();
+  expect(
+    await page.locator('//*[@id="showregion_name"]').isChecked(),
+  ).toBeFalsy();
+
+  await page.locator('//*[@id="showregion_name"]').click();
+  expect(
+    await page.locator('//*[@id="showregion_name"]').isChecked(),
+  ).toBeTruthy();
+
+  // showmodel_id
+  await page.locator('//*[@id="showmodel_id"]').click();
+  expect(await page.locator('//*[@id="showmodel_id"]').isChecked()).toBeFalsy();
+
+  // showmodel_id
+  await page.locator('//*[@id="showmodel_id"]').click();
+  expect(
+    await page.locator('//*[@id="showmodel_id"]').isChecked(),
+  ).toBeTruthy();
+
+  await page.locator('//*[@id="showcache"]').click();
+  expect(await page.locator('//*[@id="showcache"]').isChecked()).toBeFalsy();
+
+  await page.locator('//*[@id="showcache"]').click();
+  expect(await page.locator('//*[@id="showcache"]').isChecked()).toBeTruthy();
+
+  await page.locator('//*[@id="showcredentials_profile_name"]').click();
+  expect(
+    await page.locator('//*[@id="showcredentials_profile_name"]').isChecked(),
+  ).toBeFalsy();
+
+  await page.locator('//*[@id="showcredentials_profile_name"]').click();
+  expect(
+    await page.locator('//*[@id="showcredentials_profile_name"]').isChecked(),
+  ).toBeTruthy();
+
+  await page.locator('//*[@id="showendpoint_url"]').click();
+  expect(
+    await page.locator('//*[@id="showendpoint_url"]').isChecked(),
+  ).toBeFalsy();
+
+  await page.locator('//*[@id="showendpoint_url"]').click();
+  expect(
+    await page.locator('//*[@id="showendpoint_url"]').isChecked(),
+  ).toBeTruthy();
+
+  await page.locator('//*[@id="showregion_name"]').click();
+  expect(
+    await page.locator('//*[@id="showregion_name"]').isChecked(),
+  ).toBeFalsy();
+
+  await page.locator('//*[@id="showregion_name"]').click();
+  expect(
+    await page.locator('//*[@id="showregion_name"]').isChecked(),
+  ).toBeTruthy();
+
+  // showmodel_id
+  await page.locator('//*[@id="showmodel_id"]').click();
+  expect(await page.locator('//*[@id="showmodel_id"]').isChecked()).toBeFalsy();
+
+  // showmodel_id
+  await page.locator('//*[@id="showmodel_id"]').click();
+  expect(
+    await page.locator('//*[@id="showmodel_id"]').isChecked(),
+  ).toBeTruthy();
+
+  await page.getByTestId("dropdown-edit-model_id").click();
+  await page.getByText("cohere").last().click();
+
+  value = await page.getByTestId("dropdown-edit-model_id").innerText();
+  if (value !== "cohere.embed-multilingual-v3") {
+    expect(false).toBeTruthy();
+  }
+
+  await page.getByText("Save Changes", { exact: true }).click();
+
+  value = await page.getByTestId("dropdown-model_id").innerText();
+  if (value !== "cohere.embed-multilingual-v3") {
+    expect(false).toBeTruthy();
+  }
+  await page.getByTestId("code-button-modal").click();
+  await page
+    .locator("#CodeEditor div")
+    .filter({ hasText: "import ChatBedrock" })
+    .nth(1)
+    .click();
+  await page.locator("textarea").press("Control+a");
+  const emptyOptionsCode = `from langchain_community.chat_models.bedrock import BedrockChat
+
+from langflow.base.constants import STREAM_INFO_TEXT
+from langflow.base.models.model import LCModelComponent
+from langflow.field_typing import BaseLanguageModel, Text
+from langflow.io import BoolInput, DictInput, DropdownInput, StrInput
+from langflow.io import MessageInput
+from langflow.io import Output
+
+
+class AmazonBedrockComponent(LCModelComponent):
+    display_name: str = "Amazon Bedrock"
+    description: str = "Generate text using Amazon Bedrock LLMs."
+    icon = "Amazon"
+
+    inputs = [
+        MessageInput(name="input_value", display_name="Input"),
+        DropdownInput(
+            name="model_id",
+            display_name="Model Id",
+            options=[
+                "amazon.titan-text-express-v1",
+                "amazon.titan-text-lite-v1",
+                "amazon.titan-text-premier-v1:0",
+                "amazon.titan-embed-text-v1",
+                "amazon.titan-embed-text-v2:0",
+                "amazon.titan-embed-image-v1",
+                "amazon.titan-image-generator-v1",
+                "anthropic.claude-v2",
+                "anthropic.claude-v2:1",
+                "anthropic.claude-3-sonnet-20240229-v1:0",
+                "anthropic.claude-3-haiku-20240307-v1:0",
+                "anthropic.claude-3-opus-20240229-v1:0",
+                "anthropic.claude-instant-v1",
+                "ai21.j2-mid-v1",
+                "ai21.j2-ultra-v1",
+                "cohere.command-text-v14",
+                "cohere.command-light-text-v14",
+                "cohere.command-r-v1:0",
+                "cohere.command-r-plus-v1:0",
+                "cohere.embed-english-v3",
+                "cohere.embed-multilingual-v3",
+                "meta.llama2-13b-chat-v1",
+                "meta.llama2-70b-chat-v1",
+                "meta.llama3-8b-instruct-v1:0",
+                "meta.llama3-70b-instruct-v1:0",
+                "mistral.mistral-7b-instruct-v0:2",
+                "mistral.mixtral-8x7b-instruct-v0:1",
+                "mistral.mistral-large-2402-v1:0",
+                "mistral.mistral-small-2402-v1:0",
+                "stability.stable-diffusion-xl-v0",
+                "stability.stable-diffusion-xl-v1",
+            ],
+            value="anthropic.claude-3-haiku-20240307-v1:0",
+        ),
+        StrInput(name="credentials_profile_name", display_name="Credentials Profile Name"),
+        StrInput(name="region_name", display_name="Region Name"),
+        DictInput(name="model_kwargs", display_name="Model Kwargs", advanced=True),
+        StrInput(name="endpoint_url", display_name="Endpoint URL"),
+        BoolInput(name="cache", display_name="Cache"),
+        StrInput(
+            name="system_message",
+            display_name="System Message",
+            info="System message to pass to the model.",
+            advanced=True,
+        ),
+        BoolInput(name="stream", display_name="Stream", info=STREAM_INFO_TEXT, advanced=True),
+    ]
+    outputs = [
+        Output(display_name="Text", name="text_output", method="text_response"),
+        Output(display_name="Language Model", name="model_output", method="build_model"),
+    ]
+
+    def text_response(self) -> Text:
+        input_value = self.input_value
+        stream = self.stream
+        system_message = self.system_message
+        output = self.build_model()
+        result = self.get_chat_result(output, stream, input_value, system_message)
+        self.status = result
+        return result
+
+    def build_model(self) -> BaseLanguageModel:
+        model_id = self.model_id
+        credentials_profile_name = self.credentials_profile_name
+        region_name = self.region_name
+        model_kwargs = self.model_kwargs
+        endpoint_url = self.endpoint_url
+        cache = self.cache
+        stream = self.stream
+        try:
+            output = BedrockChat(
+                credentials_profile_name=credentials_profile_name,
+                model_id=model_id,
+                region_name=region_name,
+                model_kwargs=model_kwargs,
+                endpoint_url=endpoint_url,
+                streaming=stream,
+                cache=cache,
+            )
+        except Exception as e:
+            raise ValueError("Could not connect to AmazonBedrock API.") from e
+        return output
+  `;
+  await page.locator("textarea").fill(emptyOptionsCode);
+  await page.getByRole("button", { name: "Check & Save" }).click();
+  await page.getByText("No parameters are available for display.").isVisible();
+});
diff --git a/src/frontend/tests/end-to-end/fileUploadComponent.spec.ts b/src/frontend/tests/end-to-end/fileUploadComponent.spec.ts
new file mode 100644
index 00000000000..1b6f5b6e726
--- /dev/null
+++ b/src/frontend/tests/end-to-end/fileUploadComponent.spec.ts
@@ -0,0 +1,120 @@
+import { expect, test } from "@playwright/test";
+import path from "path";
+
+test("should be able to upload a file", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+  await page.waitForTimeout(1000);
+
+  await page.getByTestId("blank-flow").click();
+  await page.waitForTimeout(3000);
+
+  await page.getByTestId("extended-disclosure").click();
+  await page.getByPlaceholder("Search").click();
+  await page.getByPlaceholder("Search").fill("file");
+
+  await page.waitForTimeout(1000);
+
+  await page
+    .getByTestId("dataFile")
+    .first()
+    .dragTo(page.locator('//*[@id="react-flow-id"]'));
+  await page.mouse.up();
+  await page.mouse.down();
+  await page.getByTitle("fit view").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  const fileChooserPromise = page.waitForEvent("filechooser");
+  await page.getByTestId("icon-FileSearch2").click();
+  const fileChooser = await fileChooserPromise;
+  await fileChooser.setFiles(path.join(__dirname, "/assets/test_file.txt"));
+  await page.getByText("test_file.txt").isVisible();
+
+  await page.getByPlaceholder("Search").click();
+  await page.getByPlaceholder("Search").fill("text output");
+
+  await page
+    .getByTestId("outputsText Output")
+    .first()
+    .dragTo(page.locator('//*[@id="react-flow-id"]'));
+  await page.mouse.up();
+  await page.mouse.down();
+  await page.getByTitle("fit view").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+
+  await page.getByPlaceholder("Search").click();
+  await page.getByPlaceholder("Search").fill("parse data");
+  await page
+    .getByTestId("helpersParse Data")
+    .first()
+    .dragTo(page.locator('//*[@id="react-flow-id"]'));
+
+  await page.mouse.up();
+  await page.mouse.down();
+  await page.getByTitle("fit view").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+
+  // Click and hold on the first element
+  await page
+    .locator(
+      '//*[@id="react-flow-id"]/div/div[1]/div[1]/div/div[2]/div[1]/div/div[2]/div[6]/button/div[1]',
+    )
+    .hover();
+  await page.mouse.down();
+
+  // Move to the second element
+  await page
+    .locator(
+      '//*[@id="react-flow-id"]/div/div[1]/div[1]/div/div[2]/div[3]/div/div[2]/div[4]/div/button/div[1]',
+    )
+    .hover();
+
+  // Release the mouse
+  await page.mouse.up();
+
+  // Click and hold on the first element
+  await page
+    .locator(
+      '//*[@id="react-flow-id"]/div/div[1]/div[1]/div/div[2]/div[3]/div/div[2]/div[7]/button/div[1]',
+    )
+    .hover();
+  await page.mouse.down();
+
+  // Move to the second element
+  await page
+    .locator(
+      '//*[@id="react-flow-id"]/div/div[1]/div[1]/div/div[2]/div[2]/div/div[2]/div[3]/div/button/div[1]',
+    )
+    .hover();
+
+  // Release the mouse
+  await page.mouse.up();
+
+  await page.getByText("Playground", { exact: true }).click();
+  await page.getByText("Run Flow", { exact: true }).click();
+  await page.waitForTimeout(3000);
+  const textOutput = await page.getByPlaceholder("Empty").first().inputValue();
+
+  expect(textOutput).toContain("this is a test file");
+});
diff --git a/src/frontend/tests/end-to-end/filterEdge.spec.ts b/src/frontend/tests/end-to-end/filterEdge.spec.ts
new file mode 100644
index 00000000000..a85f2c3e598
--- /dev/null
+++ b/src/frontend/tests/end-to-end/filterEdge.spec.ts
@@ -0,0 +1,236 @@
+import { expect, test } from "@playwright/test";
+
+test("LLMChain - Tooltip", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(1000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+
+  await page.getByTestId("blank-flow").click();
+  await page.waitForTimeout(3000);
+
+  await page.getByTestId("extended-disclosure").click();
+  await page.getByPlaceholder("Search").click();
+  await page.getByPlaceholder("Search").fill("llmchain");
+
+  await page.waitForTimeout(1000);
+  await page
+    .getByTestId("chainsLLMChain")
+    .dragTo(page.locator('//*[@id="react-flow-id"]'));
+  await page.mouse.up();
+  await page.mouse.down();
+  await page.getByTitle("fit view").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+
+  await page
+    .locator(
+      '//*[@id="react-flow-id"]/div/div[1]/div[1]/div/div[2]/div/div/div[2]/div[7]/button/div[1]',
+    )
+    .hover()
+    .then(async () => {
+      await expect(page.getByTestId("tooltip-Chains").first()).toBeVisible();
+      await expect(
+        page.getByTestId("tooltip-Model Specs").first(),
+      ).toBeVisible();
+      await expect(
+        page.getByTestId("tooltip-Vector Search").first(),
+      ).toBeVisible();
+      await expect(
+        page.getByTestId("tooltip-Text Splitters").first(),
+      ).toBeVisible();
+      await expect(
+        page.getByTestId("tooltip-Retrievers").first(),
+      ).toBeVisible();
+      await expect(page.getByTestId("tooltip-Tools").first()).toBeVisible();
+      await expect(page.getByTestId("tooltip-Memories").first()).toBeVisible();
+      await expect(page.getByTestId("tooltip-Agents").first()).toBeVisible();
+      await expect(page.getByTestId("tooltip-Helpers").first()).toBeVisible();
+      await expect(page.getByTestId("tooltip-Utilities").first()).toBeVisible();
+      await page.getByTestId("icon-X").click();
+      await page.waitForTimeout(500);
+    });
+
+  await page.getByTitle("fit view").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page
+    .locator(
+      '//*[@id="react-flow-id"]/div/div[1]/div[1]/div/div[2]/div/div/div[2]/div[4]/div/button/div[1]',
+    )
+    .hover()
+    .then(async () => {
+      await expect(
+        page.getByTestId("tooltip-Model Specs").first(),
+      ).toBeVisible();
+      await page.waitForTimeout(2000);
+
+      await expect(page.getByTestId("tooltip-Models").first()).toBeVisible();
+
+      await page.getByTestId("icon-Search").click();
+
+      await page.waitForTimeout(500);
+    });
+  await page.getByTitle("fit view").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+
+  await page
+    .locator(
+      '//*[@id="react-flow-id"]/div/div[1]/div/div/div[2]/div/div/div[2]/div[3]/div/button/div[1]',
+    )
+    .hover()
+    .then(async () => {
+      await page.waitForTimeout(2000);
+
+      await expect(page.getByTestId("tooltip-Chains").first()).toBeVisible();
+      await expect(
+        page.getByTestId("tooltip-Experimental").first(),
+      ).toBeVisible();
+      await expect(page.getByTestId("tooltip-Agents").first()).toBeVisible();
+      await expect(page.getByTestId("tooltip-Helpers").first()).toBeVisible();
+
+      await page.waitForTimeout(500);
+    });
+
+  await page.getByTitle("fit view").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+
+  await page
+    .locator(
+      '//*[@id="react-flow-id"]/div/div[1]/div[1]/div/div[2]/div/div/div[2]/div[5]/div/button/div[1]',
+    )
+    .hover()
+    .then(async () => {
+      await expect(
+        page.getByTestId("empty-tooltip-filter").first(),
+      ).toBeVisible();
+    });
+});
+
+test("LLMChain - Filter", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+  await page.waitForTimeout(1000);
+
+  await page.getByTestId(
+    "input-list-plus-btn-edit_metadata_indexing_include-2",
+  );
+
+  await page.getByTestId("blank-flow").click();
+  await page.waitForTimeout(3000);
+  await page.getByTestId("extended-disclosure").click();
+  await page.getByPlaceholder("Search").click();
+  await page.getByPlaceholder("Search").fill("llmchain");
+
+  await page.waitForTimeout(1000);
+  await page
+    .getByTestId("chainsLLMChain")
+    .dragTo(page.locator('//*[@id="react-flow-id"]'));
+  await page.mouse.up();
+  await page.mouse.down();
+  await page.getByTitle("fit view").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.waitForTimeout(500);
+
+  await page
+    .locator(
+      '//*[@id="react-flow-id"]/div/div[1]/div[1]/div/div[2]/div/div/div[2]/div[7]/button/div[1]',
+    )
+    .click();
+
+  await expect(page.getByTestId("disclosure-model specs")).toBeVisible();
+  await expect(page.getByTestId("model_specsAnthropic").first()).toBeVisible();
+  await expect(page.getByTestId("model_specsAmazon Bedrock")).toBeVisible();
+  await expect(page.getByTestId("model_specsAzureChatOpenAI")).toBeVisible();
+  await expect(page.getByTestId("model_specsChatLiteLLM")).toBeVisible();
+  await expect(page.getByTestId("model_specsChatOllama")).toBeVisible();
+  await expect(page.getByTestId("model_specsChatOpenAI")).toBeVisible();
+  await expect(page.getByTestId("model_specsChatVertexAI")).toBeVisible();
+  await expect(
+    page.getByTestId("model_specsGoogle Generative AI"),
+  ).toBeVisible();
+  await expect(
+    page.getByTestId("model_specsHugging Face Inference API"),
+  ).toBeVisible();
+  await expect(page.getByTestId("model_specsOllama")).toBeVisible();
+  await expect(
+    page.getByTestId("model_specsQianfanChatEndpoint"),
+  ).toBeVisible();
+  await expect(page.getByTestId("model_specsQianfanLLMEndpoint")).toBeVisible();
+  await expect(page.getByTestId("model_specsVertexAI")).toBeVisible();
+
+  await page.getByPlaceholder("Search").click();
+
+  await expect(page.getByTestId("model_specsVertexAI")).not.toBeVisible();
+  await expect(page.getByTestId("model_specsCTransformers")).not.toBeVisible();
+  await expect(page.getByTestId("model_specsAmazon Bedrock")).not.toBeVisible();
+  await expect(page.getByTestId("modelsAzure OpenAI")).not.toBeVisible();
+  await expect(
+    page.getByTestId("model_specsAzureChatOpenAI"),
+  ).not.toBeVisible();
+  await expect(page.getByTestId("model_specsChatAnthropic")).not.toBeVisible();
+  await expect(page.getByTestId("model_specsChatLiteLLM")).not.toBeVisible();
+  await expect(page.getByTestId("model_specsChatOllama")).not.toBeVisible();
+  await expect(page.getByTestId("model_specsChatOpenAI")).not.toBeVisible();
+  await expect(page.getByTestId("model_specsChatVertexAI")).not.toBeVisible();
+
+  await page
+    .locator(
+      '//*[@id="react-flow-id"]/div/div[1]/div[1]/div/div[2]/div/div/div[2]/div[4]/div/button/div[1]',
+    )
+    .click();
+
+  await expect(page.getByTestId("disclosure-models")).toBeVisible();
+  await expect(page.getByTestId("disclosure-model specs")).toBeVisible();
+
+  await page
+    .locator(
+      '//*[@id="react-flow-id"]/div/div[1]/div[1]/div/div[2]/div/div/div[2]/div[3]/div/button/div[1]',
+    )
+    .click();
+
+  await expect(page.getByTestId("disclosure-saved")).toBeVisible();
+
+  await expect(page.getByTestId("disclosure-helpers")).toBeVisible();
+  await expect(page.getByTestId("disclosure-agents")).toBeVisible();
+  await expect(page.getByTestId("disclosure-chains")).toBeVisible();
+  await expect(page.getByTestId("disclosure-experimental")).toBeVisible();
+});
diff --git a/src/frontend/tests/end-to-end/floatComponent.spec.ts b/src/frontend/tests/end-to-end/floatComponent.spec.ts
new file mode 100644
index 00000000000..126863a6b42
--- /dev/null
+++ b/src/frontend/tests/end-to-end/floatComponent.spec.ts
@@ -0,0 +1,134 @@
+import { expect, test } from "@playwright/test";
+
+test("FloatComponent", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+  await page.waitForTimeout(1000);
+
+  await page.getByTestId("blank-flow").click();
+  await page.waitForTimeout(3000);
+  await page.getByTestId("extended-disclosure").click();
+  await page.getByPlaceholder("Search").click();
+  await page.getByPlaceholder("Search").fill("ollama");
+
+  await page.waitForTimeout(1000);
+
+  await page
+    .getByTestId("modelsOllama")
+    .dragTo(page.locator('//*[@id="react-flow-id"]'));
+  await page.mouse.up();
+  await page.mouse.down();
+  await page.getByTitle("fit view").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+
+  await page.waitForTimeout(2000);
+  await page.locator('//*[@id="float-input"]').click();
+  await page.locator('//*[@id="float-input"]').fill("");
+  await page.waitForTimeout(2000);
+  await page.locator('//*[@id="float-input"]').fill("3");
+
+  let value = await page.locator('//*[@id="float-input"]').inputValue();
+
+  if (value != "2") {
+    expect(false).toBeTruthy();
+  }
+
+  await page.waitForTimeout(2000);
+  await page.locator('//*[@id="float-input"]').click();
+  await page.locator('//*[@id="float-input"]').fill("");
+  await page.waitForTimeout(2000);
+  await page.locator('//*[@id="float-input"]').fill("-3");
+
+  value = await page.locator('//*[@id="float-input"]').inputValue();
+
+  if (value != "-2") {
+    expect(false).toBeTruthy();
+  }
+
+  await page.getByTestId("more-options-modal").click();
+  await page.getByTestId("edit-button-modal").click();
+
+  await page.getByTestId("showmirostat_eta").click();
+  expect(
+    await page.locator('//*[@id="showmirostat_eta"]').isChecked(),
+  ).toBeTruthy();
+
+  await page.getByTestId("showmirostat_eta").click();
+  expect(
+    await page.locator('//*[@id="showmirostat_eta"]').isChecked(),
+  ).toBeFalsy();
+
+  await page.getByTestId("showmirostat_eta").click();
+  expect(
+    await page.locator('//*[@id="showmirostat_eta"]').isChecked(),
+  ).toBeTruthy();
+
+  await page.getByTestId("showmirostat_eta").click();
+  expect(
+    await page.locator('//*[@id="showmirostat_eta"]').isChecked(),
+  ).toBeFalsy();
+
+  await page.getByTestId("showmirostat_tau").click();
+  expect(
+    await page.locator('//*[@id="showmirostat_tau"]').isChecked(),
+  ).toBeTruthy();
+
+  await page.getByTestId("showmirostat_tau").click();
+  expect(
+    await page.locator('//*[@id="showmirostat_tau"]').isChecked(),
+  ).toBeFalsy();
+
+  await page.getByText("Save Changes", { exact: true }).click();
+
+  const plusButtonLocator = page.locator('//*[@id="float-input"]');
+  const elementCount = await plusButtonLocator?.count();
+  if (elementCount === 0) {
+    expect(true).toBeTruthy();
+
+    await page.getByTestId("more-options-modal").click();
+    await page.getByTestId("edit-button-modal").click();
+
+    // showtemperature
+    await page.locator('//*[@id="showtemperature"]').click();
+    expect(
+      await page.locator('//*[@id="showtemperature"]').isChecked(),
+    ).toBeTruthy();
+
+    await page.getByText("Save Changes", { exact: true }).click();
+    await page.locator('//*[@id="float-input"]').click();
+    await page.locator('//*[@id="float-input"]').fill("3");
+
+    let value = await page.locator('//*[@id="float-input"]').inputValue();
+
+    if (value != "1") {
+      expect(false).toBeTruthy();
+    }
+
+    await page.locator('//*[@id="float-input"]').click();
+    await page.locator('//*[@id="float-input"]').fill("-3");
+
+    value = await page.locator('//*[@id="float-input"]').inputValue();
+
+    if (value != "-1") {
+      expect(false).toBeTruthy();
+    }
+  }
+});
diff --git a/src/frontend/tests/end-to-end/flowPage.spec.ts b/src/frontend/tests/end-to-end/flowPage.spec.ts
new file mode 100644
index 00000000000..4cae45bf238
--- /dev/null
+++ b/src/frontend/tests/end-to-end/flowPage.spec.ts
@@ -0,0 +1,42 @@
+import { test } from "@playwright/test";
+
+test.describe("Flow Page tests", () => {
+  test("save", async ({ page }) => {
+    await page.goto("/");
+    await page.waitForTimeout(2000);
+
+    let modalCount = 0;
+    try {
+      const modalTitleElement = await page?.getByTestId("modal-title");
+      if (modalTitleElement) {
+        modalCount = await modalTitleElement.count();
+      }
+    } catch (error) {
+      modalCount = 0;
+    }
+
+    while (modalCount === 0) {
+      await page.getByText("New Project", { exact: true }).click();
+      await page.waitForTimeout(5000);
+      modalCount = await page.getByTestId("modal-title")?.count();
+    }
+
+    await page.getByTestId("blank-flow").click();
+    await page.waitForTimeout(3000);
+    await page.getByTestId("extended-disclosure").click();
+    await page.getByPlaceholder("Search").click();
+    await page.getByPlaceholder("Search").fill("custom");
+
+    await page.waitForTimeout(1000);
+
+    await page
+      .locator('//*[@id="helpersCustom Component"]')
+      .dragTo(page.locator('//*[@id="react-flow-id"]'));
+    await page.mouse.up();
+    await page.mouse.down();
+    await page.getByTitle("fit view").click();
+    await page.getByTitle("zoom out").click();
+    await page.getByTitle("zoom out").click();
+    await page.getByTitle("zoom out").click();
+  });
+});
diff --git a/src/frontend/tests/end-to-end/flowSettings.spec.ts b/src/frontend/tests/end-to-end/flowSettings.spec.ts
new file mode 100644
index 00000000000..25807ed8846
--- /dev/null
+++ b/src/frontend/tests/end-to-end/flowSettings.spec.ts
@@ -0,0 +1,75 @@
+import { expect, test } from "@playwright/test";
+
+test("flowSettings", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+  await page.waitForTimeout(1000);
+
+  await page.getByTestId("blank-flow").click();
+  await page.waitForTimeout(1000);
+
+  await page.getByTestId("flow_name").click();
+  await page.getByText("Settings").first().click();
+  await page
+    .getByPlaceholder("Flow name")
+    .fill(
+      "Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test",
+    );
+
+  await page.getByText("Character limit reached").isVisible();
+
+  await page.getByPlaceholder("Flow name").click();
+  const randomName = Math.random().toString(36).substring(2);
+  await page.getByPlaceholder("Flow name").fill(randomName);
+  await page.getByPlaceholder("Flow name").click();
+  await page
+    .getByPlaceholder("Flow description")
+    .fill(
+      "Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test",
+    );
+
+  await page.getByTestId("save-flow-settings").click();
+
+  await page.getByText("Close").last().click();
+
+  await page.waitForTimeout(1000);
+
+  await page.getByText("Changes saved successfully").isVisible();
+
+  await page.getByTestId("flow_name").click();
+  await page.getByText("Settings").first().click();
+
+  const flowName = await page.getByPlaceholder("Flow name").inputValue();
+  const flowDescription = await page
+    .getByPlaceholder("Flow description")
+    .inputValue();
+
+  if (flowName != randomName) {
+    expect(false).toBeTruthy();
+  }
+
+  if (
+    flowDescription !=
+    "Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test"
+  ) {
+    expect(false).toBeTruthy();
+  }
+  await page.getByText("Saved").first().isVisible();
+  await page.getByTestId("icon-CheckCircle2").first().isVisible();
+});
diff --git a/src/frontend/tests/end-to-end/folders.spec.ts b/src/frontend/tests/end-to-end/folders.spec.ts
new file mode 100644
index 00000000000..99ed076697a
--- /dev/null
+++ b/src/frontend/tests/end-to-end/folders.spec.ts
@@ -0,0 +1,131 @@
+import { test } from "@playwright/test";
+import { readFileSync } from "fs";
+
+test("CRUD folders", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+  await page.getByRole("heading", { name: "Basic Prompting" }).click();
+
+  await page.getByTestId("icon-ChevronLeft").first().click();
+
+  await page.getByText("My Collection").nth(2).isVisible();
+  await page.getByPlaceholder("Search flows").isVisible();
+  await page.getByText("Flows").isVisible();
+  await page.getByText("Components").isVisible();
+  await page.getByText("All").first().isVisible();
+  await page.getByText("Select All").isVisible();
+
+  await page.getByTestId("add-folder-button").click();
+  await page.getByText("New Folder").last().isVisible();
+  await page.waitForTimeout(1000);
+  await page.getByText("New Folder").last().dblclick();
+  await page.getByTestId("input-folder").fill("new folder test name");
+  await page.keyboard.press("Enter");
+  await page.getByText("new folder test name").last().isVisible();
+
+  await page
+    .getByText("new folder test name")
+    .last()
+    .hover()
+    .then(async () => {
+      await page.getByTestId("icon-trash").last().click();
+    });
+
+  await page.getByText("Delete").last().click();
+  await page.waitForTimeout(1000);
+  await page.getByText("Folder deleted successfully").isVisible();
+});
+
+test("add folder by drag and drop", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+
+  const jsonContent = readFileSync(
+    "src/frontend/tests/end-to-end/assets/collection.json",
+    "utf-8",
+  );
+
+  // Create the DataTransfer and File
+  const dataTransfer = await page.evaluateHandle((data) => {
+    const dt = new DataTransfer();
+    // Convert the buffer to a hex array
+    const file = new File([data], "flowtest.json", {
+      type: "application/json",
+    });
+    dt.items.add(file);
+    return dt;
+  }, jsonContent);
+
+  // Now dispatch
+  await page.dispatchEvent(
+    '//*[@id="root"]/div/div[1]/div[2]/div[3]/aside/nav/div/div[2]',
+    "drop",
+    {
+      dataTransfer,
+    },
+  );
+
+  await page.getByText("Getting Started").first().isVisible();
+});
+
+test("change flow folder", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+  await page.getByRole("heading", { name: "Basic Prompting" }).click();
+
+  await page.getByTestId("icon-ChevronLeft").first().click();
+
+  await page.getByText("My Collection").nth(2).isVisible();
+  await page.getByPlaceholder("Search flows").isVisible();
+  await page.getByText("Flows").isVisible();
+  await page.getByText("Components").isVisible();
+  await page.getByText("All").first().isVisible();
+  await page.getByText("Select All").isVisible();
+
+  await page.getByTestId("add-folder-button").click();
+  await page.getByText("New Folder").last().isVisible();
+  await page.waitForTimeout(1000);
+  await page.getByText("New Folder").last().dblclick();
+  await page.getByTestId("input-folder").fill("new folder test name");
+  await page.keyboard.press("Enter");
+  await page.getByText("new folder test name").last().isVisible();
+
+  await page.getByText("My Projects").last().click();
+  await page.getByText("Basic Prompting").first().hover();
+  await page.mouse.down();
+  await page.getByText("test").first().hover();
+  await page.mouse.up();
+  await page.getByText("Basic Prompting").first().isVisible();
+});
diff --git a/src/frontend/tests/end-to-end/generalBugs.spec.ts b/src/frontend/tests/end-to-end/generalBugs.spec.ts
new file mode 100644
index 00000000000..11ec86af405
--- /dev/null
+++ b/src/frontend/tests/end-to-end/generalBugs.spec.ts
@@ -0,0 +1,100 @@
+import { expect, test } from "@playwright/test";
+import * as dotenv from "dotenv";
+import path from "path";
+
+test("should interact with api request", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+  await page.getByTestId("blank-flow").click();
+  await page.waitForTimeout(1000);
+  await page.getByTestId("extended-disclosure").click();
+  await page.getByPlaceholder("Search").click();
+  await page.getByPlaceholder("Search").fill("api request");
+
+  await page.waitForTimeout(1000);
+
+  await page
+    .getByTestId("dataAPI Request")
+    .dragTo(page.locator('//*[@id="react-flow-id"]'));
+  await page.mouse.up();
+  await page.mouse.down();
+  await page.getByTitle("fit view").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+});
+
+test("erase button should clear the chat messages", async ({ page }) => {
+  if (!process.env.CI) {
+    dotenv.config({ path: path.resolve(__dirname, "../../.env") });
+  }
+
+  await page.goto("/");
+
+  await page.waitForTimeout(1000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+
+  await page.getByRole("heading", { name: "Basic Prompting" }).click();
+  await page.waitForTimeout(1000);
+
+  await page.getByTitle("fit view").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+
+  if (!process.env.OPENAI_API_KEY) {
+    //You must set the OPENAI_API_KEY on .env file to run this test
+    expect(false).toBe(true);
+  }
+
+  await page
+    .getByTestId("popover-anchor-input-openai_api_key")
+    .fill(process.env.OPENAI_API_KEY ?? "");
+  await page.getByText("Playground", { exact: true }).click();
+  await page.getByPlaceholder("Send a message...").fill("Hello, how are you?");
+  await page.getByTestId("icon-LucideSend").click();
+  let valueUser = await page.getByTestId("sender_name_user").textContent();
+  let valueAI = await page.getByTestId("sender_name_ai").textContent();
+
+  expect(valueUser).toBe("User");
+  expect(valueAI).toBe("AI");
+
+  await page.getByTestId("icon-Eraser").last().click();
+
+  await page.getByText("Hello, how are you?").isHidden();
+  await page.getByText("AI", { exact: true }).last().isHidden();
+  await page.getByText("User", { exact: true }).last().isHidden();
+  await page.getByText("Start a conversation").isVisible();
+  await page.getByText("Langflow Chat").isVisible();
+});
diff --git a/src/frontend/tests/end-to-end/globalVariables.spec.ts b/src/frontend/tests/end-to-end/globalVariables.spec.ts
new file mode 100644
index 00000000000..64af7fe285d
--- /dev/null
+++ b/src/frontend/tests/end-to-end/globalVariables.spec.ts
@@ -0,0 +1,81 @@
+import { expect, test } from "@playwright/test";
+
+test("GlobalVariables", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+  await page.waitForTimeout(1000);
+
+  await page.getByTestId("blank-flow").click();
+  await page.waitForTimeout(3000);
+  await page.getByTestId("extended-disclosure").click();
+  await page.getByPlaceholder("Search").click();
+  await page.getByPlaceholder("Search").fill("openai");
+
+  await page.waitForTimeout(1000);
+
+  await page
+    .getByTestId("modelsOpenAI")
+    .dragTo(page.locator('//*[@id="react-flow-id"]'));
+  await page.mouse.up();
+  await page.mouse.down();
+
+  await page.getByTitle("fit view").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+
+  const genericName = Math.random().toString();
+  const credentialName = Math.random().toString();
+
+  await page.getByTestId("icon-Globe").nth(0).click();
+  await page.getByText("Add New Variable", { exact: true }).click();
+  await page
+    .getByPlaceholder("Insert a name for the variable...")
+    .fill(genericName);
+  await page.getByTestId("icon-ChevronsUpDown").nth(1).click();
+  await page.getByText("Generic", { exact: true }).click();
+  await page
+    .getByPlaceholder("Insert a value for the variable...")
+    .fill("This is a test of generic variable value");
+  await page.getByText("Save Variable", { exact: true }).click();
+  expect(page.getByText(genericName, { exact: true })).not.toBeNull();
+  await page.getByText(genericName, { exact: true }).isVisible();
+
+  await page.getByText("Add New Variable", { exact: true }).click();
+  await page
+    .getByPlaceholder("Insert a name for the variable...")
+    .fill(credentialName);
+  await page.getByTestId("icon-ChevronsUpDown").nth(1).click();
+  await page.getByText("Credential", { exact: true }).click();
+  await page
+    .getByPlaceholder("Insert a value for the variable...")
+    .fill("This is a test of credential variable value");
+  await page.getByText("Save Variable", { exact: true }).click();
+  expect(page.getByText(credentialName, { exact: true })).not.toBeNull();
+  await page.getByText(credentialName, { exact: true }).isVisible();
+  await page.waitForTimeout(2000);
+
+  await page
+    .getByText(credentialName, { exact: true })
+    .hover()
+    .then(async () => {
+      await page.getByTestId("icon-Trash2").last().click();
+      await page.getByText("Delete", { exact: true }).nth(1).click();
+    });
+});
diff --git a/src/frontend/tests/end-to-end/group.spec.ts b/src/frontend/tests/end-to-end/group.spec.ts
new file mode 100644
index 00000000000..ff58e7a9c42
--- /dev/null
+++ b/src/frontend/tests/end-to-end/group.spec.ts
@@ -0,0 +1,46 @@
+import { test } from "@playwright/test";
+
+test.describe("group node test", () => {
+  /// <reference lib="dom"/>
+  test("group and ungroup updating values", async ({ page }) => {
+    await page.goto("/");
+
+    let modalCount = 0;
+    try {
+      const modalTitleElement = await page?.getByTestId("modal-title");
+      if (modalTitleElement) {
+        modalCount = await modalTitleElement.count();
+      }
+    } catch (error) {
+      modalCount = 0;
+    }
+
+    while (modalCount === 0) {
+      await page.getByText("New Project", { exact: true }).click();
+      modalCount = await page.getByTestId("modal-title")?.count();
+    }
+
+    await page
+      .getByRole("heading", { name: "Basic Prompting" })
+      .first()
+      .click();
+    await page.waitForTimeout(2000);
+    await page.getByLabel("fit view").first().click();
+
+    await page.getByTestId("title-OpenAI").click();
+    await page.getByTestId("title-OpenAI").click({ modifiers: ["Control"] });
+    await page.getByTestId("title-Prompt").click({ modifiers: ["Control"] });
+    await page.getByTestId("title-OpenAI").click({ modifiers: ["Control"] });
+
+    await page.getByRole("button", { name: "Group" }).click();
+    await page.getByTestId("title-Group").dblclick();
+    await page
+      .getByTestId("popover-anchor-input-title-Group")
+      .first()
+      .fill("test");
+    await page.getByTestId("icon-Ungroup").first().click();
+    await page.keyboard.press("Control+g");
+    await page.getByTestId("title-OpenAI").isVisible();
+    await page.getByTestId("title-Prompt").isVisible();
+  });
+});
diff --git a/src/frontend/tests/end-to-end/inputComponent.spec.ts b/src/frontend/tests/end-to-end/inputComponent.spec.ts
new file mode 100644
index 00000000000..99bf207cfb4
--- /dev/null
+++ b/src/frontend/tests/end-to-end/inputComponent.spec.ts
@@ -0,0 +1,158 @@
+import { expect, test } from "@playwright/test";
+
+test("InputComponent", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+  await page.waitForTimeout(1000);
+
+  await page.getByTestId("blank-flow").click();
+  await page.waitForTimeout(3000);
+  await page.getByTestId("extended-disclosure").click();
+  await page.getByPlaceholder("Search").click();
+  await page.getByPlaceholder("Search").fill("Chroma");
+
+  await page.waitForTimeout(1000);
+
+  await page
+    .getByTestId("vectorstoresChroma DB")
+    .dragTo(page.locator('//*[@id="react-flow-id"]'));
+  await page.mouse.up();
+  await page.mouse.down();
+  await page.getByTitle("fit view").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTestId("popover-anchor-input-collection_name").click();
+  await page
+    .getByTestId("popover-anchor-input-collection_name")
+    .fill("collection_name_test_123123123!@#$&*(&%$@");
+
+  let value = await page
+    .getByTestId("popover-anchor-input-collection_name")
+    .inputValue();
+
+  if (value != "collection_name_test_123123123!@#$&*(&%$@") {
+    expect(false).toBeTruthy();
+  }
+
+  await page.getByTestId("div-generic-node").click();
+
+  await page.getByTestId("more-options-modal").click();
+  await page.getByTestId("edit-button-modal").click();
+
+  await page.locator('//*[@id="showchroma_server_cors_allow_origins"]').click();
+  expect(
+    await page
+      .locator('//*[@id="showchroma_server_cors_allow_origins"]')
+      .isChecked(),
+  ).toBeTruthy();
+
+  await page.locator('//*[@id="showchroma_server_grpc_port"]').click();
+  expect(
+    await page.locator('//*[@id="showchroma_server_grpc_port"]').isChecked(),
+  ).toBeTruthy();
+
+  await page.locator('//*[@id="showchroma_server_host"]').click();
+  expect(
+    await page.locator('//*[@id="showchroma_server_host"]').isChecked(),
+  ).toBeTruthy();
+
+  await page.locator('//*[@id="showchroma_server_http_port"]').click();
+  expect(
+    await page.locator('//*[@id="showchroma_server_http_port"]').isChecked(),
+  ).toBeTruthy();
+
+  await page.locator('//*[@id="showchroma_server_ssl_enabled"]').click();
+  expect(
+    await page.locator('//*[@id="showchroma_server_ssl_enabled"]').isChecked(),
+  ).toBeTruthy();
+
+  await page.locator('//*[@id="showcollection_name"]').click();
+  expect(
+    await page.locator('//*[@id="showcollection_name"]').isChecked(),
+  ).toBeFalsy();
+
+  await page.locator('//*[@id="showchroma_server_cors_allow_origins"]').click();
+  expect(
+    await page
+      .locator('//*[@id="showchroma_server_cors_allow_origins"]')
+      .isChecked(),
+  ).toBeFalsy();
+
+  await page.locator('//*[@id="showchroma_server_grpc_port"]').click();
+  expect(
+    await page.locator('//*[@id="showchroma_server_grpc_port"]').isChecked(),
+  ).toBeFalsy();
+
+  await page.locator('//*[@id="showchroma_server_host"]').click();
+  expect(
+    await page.locator('//*[@id="showchroma_server_host"]').isChecked(),
+  ).toBeFalsy();
+
+  await page.locator('//*[@id="showchroma_server_http_port"]').click();
+  expect(
+    await page.locator('//*[@id="showchroma_server_http_port"]').isChecked(),
+  ).toBeFalsy();
+
+  await page.locator('//*[@id="showchroma_server_ssl_enabled"]').click();
+  expect(
+    await page.locator('//*[@id="showchroma_server_ssl_enabled"]').isChecked(),
+  ).toBeFalsy();
+
+  let valueEditNode = await page
+    .getByTestId("popover-anchor-input-collection_name-edit")
+    .inputValue();
+
+  if (valueEditNode != "collection_name_test_123123123!@#$&*(&%$@") {
+    expect(false).toBeTruthy();
+  }
+
+  await page.getByTestId("popover-anchor-input-collection_name-edit").click();
+  await page
+    .getByTestId("popover-anchor-input-collection_name-edit")
+    .fill("NEW_collection_name_test_123123123!@#$&*(&%$@ÇÇÇÀõe");
+
+  await page.getByText("Save Changes", { exact: true }).click();
+
+  const plusButtonLocator = page.getByTestId("input-collection_name");
+  const elementCount = await plusButtonLocator?.count();
+  if (elementCount === 0) {
+    expect(true).toBeTruthy();
+
+    await page.getByTestId("div-generic-node").click();
+
+    await page.getByTestId("more-options-modal").click();
+    await page.getByTestId("edit-button-modal").click();
+
+    await page.locator('//*[@id="showcollection_name"]').click();
+    expect(
+      await page.locator('//*[@id="showcollection_name"]').isChecked(),
+    ).toBeTruthy();
+
+    await page.getByText("Save Changes", { exact: true }).click();
+
+    let value = await page
+      .getByTestId("popover-anchor-input-collection_name")
+      .inputValue();
+
+    if (value != "NEW_collection_name_test_123123123!@#$&*(&%$@ÇÇÇÀõe") {
+      expect(false).toBeTruthy();
+    }
+  }
+});
diff --git a/src/frontend/tests/end-to-end/inputListComponent.spec.ts b/src/frontend/tests/end-to-end/inputListComponent.spec.ts
new file mode 100644
index 00000000000..e28ba67b2e9
--- /dev/null
+++ b/src/frontend/tests/end-to-end/inputListComponent.spec.ts
@@ -0,0 +1,195 @@
+import { expect, test } from "@playwright/test";
+
+test("InputListComponent", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(1000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+
+  await page.getByTestId("blank-flow").click();
+  await page.waitForTimeout(3000);
+  await page.getByTestId("extended-disclosure").click();
+  await page.getByPlaceholder("Search").click();
+  await page.getByPlaceholder("Search").fill("astradb");
+
+  await page.waitForTimeout(1000);
+  await page
+    .getByTestId("vectorsearchAstra DB Search")
+    .dragTo(page.locator('//*[@id="react-flow-id"]'));
+  await page.mouse.up();
+  await page.mouse.down();
+  await page.getByTitle("fit view").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTestId("div-generic-node").click();
+  await page.getByTestId("more-options-modal").click();
+  await page.getByTestId("edit-button-modal").click();
+
+  expect(
+    await page.getByTestId("showmetadata_indexing_exclude").isChecked(),
+  ).toBeFalsy();
+  await page.getByTestId("showmetadata_indexing_exclude").click();
+  expect(
+    await page.getByTestId("showmetadata_indexing_exclude").isChecked(),
+  ).toBeTruthy();
+
+  expect(
+    await page.getByTestId("showmetadata_indexing_include").isChecked(),
+  ).toBeFalsy();
+  await page.getByTestId("showmetadata_indexing_include").click();
+  expect(
+    await page.getByTestId("showmetadata_indexing_include").isChecked(),
+  ).toBeTruthy();
+
+  await page
+    .getByTestId("input-list-input-edit_metadata_indexing_include-0")
+    .fill("test test test test");
+
+  await page
+    .getByTestId("input-list-plus-btn-edit_metadata_indexing_include-0")
+    .click();
+
+  await page
+    .getByTestId("input-list-input-edit_metadata_indexing_include-1")
+    .fill("test1 test1 test1 test1");
+
+  await page.getByText("Save Changes", { exact: true }).click();
+
+  await page
+    .getByTestId("input-list-input_metadata_indexing_include-0")
+    .fill("test test test test");
+
+  const value0 = await page
+    .getByTestId("input-list-input_metadata_indexing_include-0")
+    .inputValue();
+  const value1 = await page
+    .getByTestId("input-list-input_metadata_indexing_include-1")
+    .inputValue();
+
+  if (
+    value0 !== "test test test test" ||
+    value1 !== "test1 test1 test1 test1"
+  ) {
+    expect(false).toBeTruthy();
+  }
+
+  await page
+    .getByTestId("input-list-minus-btn_metadata_indexing_include-1")
+    .click();
+
+  const plusButtonLocator = page.getByTestId(
+    "input-list-plus-btn_metadata_indexing_include-1",
+  );
+  const elementCount = await plusButtonLocator?.count();
+
+  if (elementCount > 0) {
+    expect(false).toBeTruthy();
+  }
+
+  await page
+    .getByTestId("input-list-plus-btn_metadata_indexing_include-0")
+    .click();
+  await page
+    .getByTestId("input-list-plus-btn_metadata_indexing_include-0")
+    .click();
+  await page
+    .getByTestId("input-list-plus-btn_metadata_indexing_include-0")
+    .click();
+  await page
+    .getByTestId("input-list-plus-btn_metadata_indexing_include-0")
+    .click();
+
+  await page
+    .getByTestId("input-list-input_metadata_indexing_include-0")
+    .fill("test test test test");
+  await page
+    .getByTestId("input-list-input_metadata_indexing_include-1")
+    .fill("test1 test1 test1 test1");
+  await page
+    .getByTestId("input-list-input_metadata_indexing_include-2")
+    .fill("test2 test2 test2 test2");
+  await page
+    .getByTestId("input-list-input_metadata_indexing_include-3")
+    .fill("test3 test3 test3 test3");
+
+  await page.getByTestId("div-generic-node").click();
+  await page.getByTestId("more-options-modal").click();
+  await page.getByTestId("edit-button-modal").click();
+
+  const value0Edit = await page
+    .getByTestId("input-list-input-edit_metadata_indexing_include-0")
+    .inputValue();
+  const value1Edit = await page
+    .getByTestId("input-list-input-edit_metadata_indexing_include-1")
+    .inputValue();
+  const value2Edit = await page
+    .getByTestId("input-list-input-edit_metadata_indexing_include-2")
+    .inputValue();
+  const value3Edit = await page
+    .getByTestId("input-list-input-edit_metadata_indexing_include-3")
+    .inputValue();
+
+  if (
+    value0Edit !== "test test test test" ||
+    value1Edit !== "test1 test1 test1 test1" ||
+    value2Edit !== "test2 test2 test2 test2" ||
+    value3Edit !== "test3 test3 test3 test3"
+  ) {
+    expect(false).toBeTruthy();
+  }
+
+  await page
+    .getByTestId("input-list-minus-btn-edit_metadata_indexing_include-1")
+    .click();
+  await page
+    .getByTestId("input-list-minus-btn-edit_metadata_indexing_include-1")
+    .click();
+  await page
+    .getByTestId("input-list-minus-btn-edit_metadata_indexing_include-1")
+    .click();
+
+  const plusButtonLocatorEdit0 = await page.getByTestId(
+    "input-list-plus-btn-edit_metadata_indexing_include-0",
+  );
+  const elementCountEdit0 = await plusButtonLocatorEdit0?.count();
+
+  const plusButtonLocatorEdit2 = await page.getByTestId(
+    "input-list-plus-btn-edit_metadata_indexing_include-2",
+  );
+  const elementCountEdit2 = await plusButtonLocatorEdit2?.count();
+
+  if (elementCountEdit0 > 1 || elementCountEdit2 > 0) {
+    expect(false).toBeTruthy();
+  }
+
+  const minusButtonLocatorEdit1 = await page.getByTestId(
+    "input-list-minus-btn-edit_metadata_indexing_include-1",
+  );
+
+  const elementCountMinusEdit1 = await minusButtonLocatorEdit1?.count();
+
+  const minusButtonLocatorEdit2 = await page.getByTestId(
+    "input-list-minus-btn-edit_metadata_indexing_include-2",
+  );
+
+  const elementCountMinusEdit2 = await minusButtonLocatorEdit2?.count();
+
+  if (elementCountMinusEdit1 > 1 || elementCountMinusEdit2 > 0) {
+    expect(false).toBeTruthy();
+  }
+});
diff --git a/src/frontend/tests/end-to-end/intComponent.spec.ts b/src/frontend/tests/end-to-end/intComponent.spec.ts
new file mode 100644
index 00000000000..aa54ac5b44e
--- /dev/null
+++ b/src/frontend/tests/end-to-end/intComponent.spec.ts
@@ -0,0 +1,205 @@
+import { expect, test } from "@playwright/test";
+
+test("IntComponent", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+  await page.waitForTimeout(1000);
+
+  await page.getByTestId("blank-flow").click();
+  await page.waitForTimeout(3000);
+  await page.getByTestId("extended-disclosure").click();
+  await page.getByPlaceholder("Search").click();
+  await page.getByPlaceholder("Search").fill("openai");
+
+  await page.waitForTimeout(1000);
+
+  await page
+    .getByTestId("model_specsChatOpenAI")
+    .first()
+    .dragTo(page.locator('//*[@id="react-flow-id"]'));
+  await page.mouse.up();
+  await page.mouse.down();
+  await page.getByTitle("fit view").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+
+  await page.getByTestId("more-options-modal").click();
+  await page.getByTestId("edit-button-modal").click();
+  await page.getByTestId("showmax_tokens").click();
+
+  await page.getByText("Save Changes", { exact: true }).click();
+  await page.getByTestId("int-input-max_tokens").click();
+  await page
+    .getByTestId("int-input-max_tokens")
+    .fill("123456789123456789123456789");
+
+  let value = await page.getByTestId("int-input-max_tokens").inputValue();
+
+  if (value != "123456789123456789123456789") {
+    expect(false).toBeTruthy();
+  }
+
+  await page.getByTestId("int-input-max_tokens").click();
+  await page.getByTestId("int-input-max_tokens").fill("0");
+
+  value = await page.getByTestId("int-input-max_tokens").inputValue();
+
+  if (value != "0") {
+    expect(false).toBeTruthy();
+  }
+
+  await page.getByTestId("title-ChatOpenAI").click();
+  await page.getByTitle("fit view").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+
+  await page.getByTestId("more-options-modal").click();
+  await page.getByTestId("edit-button-modal").click();
+
+  value = await page.getByTestId("edit-int-input-max_tokens").inputValue();
+
+  if (value != "0") {
+    expect(false).toBeTruthy();
+  }
+
+  await page.getByTestId("edit-int-input-max_tokens").click();
+  await page
+    .getByTestId("edit-int-input-max_tokens")
+    .fill("123456789123456789123456789");
+
+  await page.locator('//*[@id="showmodel_kwargs"]').click();
+  expect(
+    await page.locator('//*[@id="showmodel_kwargs"]').isChecked(),
+  ).toBeTruthy();
+
+  await page.locator('//*[@id="showmodel_name"]').click();
+  expect(
+    await page.locator('//*[@id="showmodel_name"]').isChecked(),
+  ).toBeFalsy();
+
+  await page.locator('//*[@id="showopenai_api_base"]').click();
+  expect(
+    await page.locator('//*[@id="showopenai_api_base"]').isChecked(),
+  ).toBeTruthy();
+
+  await page.locator('//*[@id="showopenai_api_key"]').click();
+  expect(
+    await page.locator('//*[@id="showopenai_api_key"]').isChecked(),
+  ).toBeFalsy();
+
+  await page.locator('//*[@id="showtemperature"]').click();
+  expect(
+    await page.locator('//*[@id="showtemperature"]').isChecked(),
+  ).toBeFalsy();
+
+  await page.locator('//*[@id="showmodel_kwargs"]').click();
+  expect(
+    await page.locator('//*[@id="showmodel_kwargs"]').isChecked(),
+  ).toBeFalsy();
+
+  await page.locator('//*[@id="showmodel_name"]').click();
+  expect(
+    await page.locator('//*[@id="showmodel_name"]').isChecked(),
+  ).toBeTruthy();
+
+  await page.locator('//*[@id="showopenai_api_base"]').click();
+  expect(
+    await page.locator('//*[@id="showopenai_api_base"]').isChecked(),
+  ).toBeFalsy();
+
+  await page.locator('//*[@id="showopenai_api_key"]').click();
+  expect(
+    await page.locator('//*[@id="showopenai_api_key"]').isChecked(),
+  ).toBeTruthy();
+
+  await page.locator('//*[@id="showtemperature"]').click();
+  expect(
+    await page.locator('//*[@id="showtemperature"]').isChecked(),
+  ).toBeTruthy();
+
+  await page.locator('//*[@id="showmodel_kwargs"]').click();
+  expect(
+    await page.locator('//*[@id="showmodel_kwargs"]').isChecked(),
+  ).toBeTruthy();
+
+  await page.locator('//*[@id="showmodel_name"]').click();
+  expect(
+    await page.locator('//*[@id="showmodel_name"]').isChecked(),
+  ).toBeFalsy();
+
+  await page.locator('//*[@id="showopenai_api_base"]').click();
+  expect(
+    await page.locator('//*[@id="showopenai_api_base"]').isChecked(),
+  ).toBeTruthy();
+
+  await page.locator('//*[@id="showopenai_api_key"]').click();
+  expect(
+    await page.locator('//*[@id="showopenai_api_key"]').isChecked(),
+  ).toBeFalsy();
+
+  await page.locator('//*[@id="showtemperature"]').click();
+  expect(
+    await page.locator('//*[@id="showtemperature"]').isChecked(),
+  ).toBeFalsy();
+
+  await page.getByText("Save Changes", { exact: true }).click();
+
+  const plusButtonLocator = page.getByTestId("int-input-max_tokens");
+  const elementCount = await plusButtonLocator?.count();
+  if (elementCount === 0) {
+    expect(true).toBeTruthy();
+
+    await page.getByTestId("more-options-modal").click();
+    await page.getByTestId("edit-button-modal").click();
+
+    await page.locator('//*[@id="showtimeout"]').click();
+    expect(
+      await page.locator('//*[@id="showtimeout"]').isChecked(),
+    ).toBeTruthy();
+
+    const valueEditNode = await page
+      .getByTestId("edit-int-input-max_tokens")
+      .inputValue();
+
+    if (valueEditNode != "123456789123456789123456789") {
+      expect(false).toBeTruthy();
+    }
+
+    await page.getByText("Save Changes", { exact: true }).click();
+    await page.getByTestId("int-input-max_tokens").click();
+    await page.getByTestId("int-input-max_tokens").fill("3");
+
+    let value = await page.getByTestId("int-input-max_tokens").inputValue();
+
+    if (value != "3") {
+      expect(false).toBeTruthy();
+    }
+
+    await page.getByTestId("int-input-max_tokens").click();
+    await page.getByTestId("int-input-max_tokens").fill("-3");
+
+    value = await page.getByTestId("int-input-max_tokens").inputValue();
+
+    if (value != "0") {
+      expect(false).toBeTruthy();
+    }
+  }
+});
diff --git a/src/frontend/tests/end-to-end/keyPairListComponent.spec.ts b/src/frontend/tests/end-to-end/keyPairListComponent.spec.ts
new file mode 100644
index 00000000000..31a4521ae53
--- /dev/null
+++ b/src/frontend/tests/end-to-end/keyPairListComponent.spec.ts
@@ -0,0 +1,133 @@
+import { expect, test } from "@playwright/test";
+
+test("KeypairListComponent", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+  await page.waitForTimeout(1000);
+
+  await page.getByTestId("blank-flow").click();
+  await page.waitForTimeout(3000);
+  await page.getByTestId("extended-disclosure").click();
+  await page.getByPlaceholder("Search").click();
+  await page.getByPlaceholder("Search").fill("amazon bedrock");
+
+  await page.waitForTimeout(1000);
+
+  await page
+    .getByTestId("model_specsAmazon Bedrock")
+    .dragTo(page.locator('//*[@id="react-flow-id"]'));
+  await page.mouse.up();
+  await page.mouse.down();
+  await page.getByTitle("fit view").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.locator('//*[@id="keypair0"]').click();
+  await page.locator('//*[@id="keypair0"]').fill("testtesttesttest");
+  await page.locator('//*[@id="keypair100"]').click();
+  await page
+    .locator('//*[@id="keypair100"]')
+    .fill("test test test test test test");
+
+  await page.getByTestId("div-generic-node").click();
+
+  const valueWithSpace = await page.getByTestId("keypair100").inputValue();
+  await page.getByTestId("div-generic-node").click();
+
+  if (valueWithSpace !== "test test test test test test") {
+    expect(false).toBeTruthy();
+  }
+
+  const plusButtonLocatorNode = page.locator('//*[@id="plusbtn0"]');
+  const elementCountNode = await plusButtonLocatorNode?.count();
+  if (elementCountNode > 0) {
+    await plusButtonLocatorNode.click();
+  }
+  await page.getByTestId("div-generic-node").click();
+
+  await page.locator('//*[@id="keypair0"]').click();
+  await page.locator('//*[@id="keypair0"]').fill("testtesttesttest1");
+  await page.getByTestId("div-generic-node").click();
+
+  const keyPairVerification = page.locator('//*[@id="keypair100"]');
+  const elementKeyCount = await keyPairVerification?.count();
+
+  if (elementKeyCount === 1) {
+    expect(true).toBeTruthy();
+  } else {
+    expect(false).toBeTruthy();
+  }
+
+  await page.getByTestId("more-options-modal").click();
+  await page.getByTestId("edit-button-modal").click();
+
+  await page.locator('//*[@id="showcache"]').click();
+  expect(await page.locator('//*[@id="showcache"]').isChecked()).toBeFalsy();
+  await page.locator('//*[@id="showcredentials_profile_name"]').click();
+  expect(
+    await page.locator('//*[@id="showcredentials_profile_name"]').isChecked(),
+  ).toBeFalsy();
+  await page.getByText("Save Changes", { exact: true }).click();
+
+  const plusButtonLocator = page.locator('//*[@id="plusbtn0"]');
+  const elementCount = await plusButtonLocator?.count();
+  if (elementCount === 0) {
+    expect(true).toBeTruthy();
+    await page.getByTestId("div-generic-node").click();
+
+    await page.getByTestId("more-options-modal").click();
+    await page.getByTestId("edit-button-modal").click();
+
+    await page.locator('//*[@id="showcredentials_profile_name"]').click();
+    expect(
+      await page.locator('//*[@id="showcredentials_profile_name"]').isChecked(),
+    ).toBeTruthy();
+    await page.locator('//*[@id="showcache"]').click();
+    expect(await page.locator('//*[@id="showcache"]').isChecked()).toBeTruthy();
+
+    await page.locator('//*[@id="editNodekeypair0"]').click();
+    await page.locator('//*[@id="editNodekeypair0"]').fill("testtesttesttest");
+
+    const keyPairVerification = page.locator('//*[@id="editNodekeypair0"]');
+    const elementKeyCount = await keyPairVerification?.count();
+
+    if (elementKeyCount === 1) {
+      await page.getByText("Save Changes", { exact: true }).click();
+
+      await page.getByTestId("div-generic-node").click();
+
+      const key1 = await page.locator('//*[@id="keypair0"]').inputValue();
+      const value1 = await page.locator('//*[@id="keypair100"]').inputValue();
+      await page.getByTestId("div-generic-node").click();
+
+      if (
+        key1 === "testtesttesttest" &&
+        value1 === "test test test test test test"
+      ) {
+        expect(true).toBeTruthy();
+      } else {
+        expect(false).toBeTruthy();
+      }
+    } else {
+      expect(false).toBeTruthy();
+    }
+  } else {
+    expect(false).toBeTruthy();
+  }
+});
diff --git a/src/frontend/tests/end-to-end/langflowShortcuts.spec.ts b/src/frontend/tests/end-to-end/langflowShortcuts.spec.ts
new file mode 100644
index 00000000000..42b8744d1ff
--- /dev/null
+++ b/src/frontend/tests/end-to-end/langflowShortcuts.spec.ts
@@ -0,0 +1,104 @@
+import { expect, test } from "@playwright/test";
+import uaParser from "ua-parser-js";
+test("LangflowShortcuts", async ({ page }) => {
+  await page.goto("/");
+  const getUA = await page.evaluate(() => navigator.userAgent);
+  const userAgentInfo = uaParser(getUA);
+  let control = "Control";
+
+  if (userAgentInfo.os.name.includes("Mac")) {
+    control = "Meta";
+  }
+
+  await page.waitForTimeout(1000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+
+  await page.getByTestId("blank-flow").click();
+  await page.waitForTimeout(3000);
+  await page.getByTestId("extended-disclosure").click();
+  await page.getByPlaceholder("Search").click();
+  await page.getByPlaceholder("Search").fill("ollama");
+
+  await page.waitForTimeout(1000);
+
+  await page
+    .getByTestId("modelsOllama")
+    .dragTo(page.locator('//*[@id="react-flow-id"]'));
+  await page.mouse.up();
+  await page.mouse.down();
+
+  await page.locator('//*[@id="react-flow-id"]/div/div[2]/button[3]').click();
+  await page.getByTitle("fit view").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTestId("generic-node-title-arrangement").click();
+  await page.keyboard.press(`${control}+Shift+A`);
+  await page.getByText("Save Changes", { exact: true }).click();
+
+  await page.getByTestId("generic-node-title-arrangement").click();
+  await page.keyboard.press(`${control}+d`);
+
+  let numberOfNodes = await page.getByTestId("title-Ollama")?.count();
+  if (numberOfNodes != 2) {
+    expect(false).toBeTruthy();
+  }
+
+  await page
+    .locator(
+      '//*[@id="react-flow-id"]/div[1]/div[1]/div[1]/div/div[2]/div[2]/div/div[1]/div/div[1]/div/div/div[1]',
+    )
+    .click();
+  await page.keyboard.press("Backspace");
+
+  numberOfNodes = await page.getByTestId("title-Ollama")?.count();
+  if (numberOfNodes != 1) {
+    expect(false).toBeTruthy();
+  }
+
+  await page.getByTestId("generic-node-title-arrangement").click();
+  await page.keyboard.press(`${control}+c`);
+
+  await page.getByTestId("title-Ollama").click();
+  await page.keyboard.press(`${control}+v`);
+
+  numberOfNodes = await page.getByTestId("title-Ollama")?.count();
+  if (numberOfNodes != 2) {
+    expect(false).toBeTruthy();
+  }
+
+  await page
+    .locator(
+      '//*[@id="react-flow-id"]/div[1]/div[1]/div[1]/div/div[2]/div[2]/div/div[1]/div/div[1]/div/div/div[1]',
+    )
+    .click();
+  await page.keyboard.press("Backspace");
+
+  await page.getByTestId("title-Ollama").click();
+  await page.keyboard.press(`${control}+x`);
+
+  numberOfNodes = await page.getByTestId("title-Ollama")?.count();
+  if (numberOfNodes != 0) {
+    expect(false).toBeTruthy();
+  }
+  await page.keyboard.press(`${control}+v`);
+  numberOfNodes = await page.getByTestId("title-Ollama")?.count();
+  if (numberOfNodes != 1) {
+    expect(false).toBeTruthy();
+  }
+});
diff --git a/src/frontend/tests/end-to-end/logs.spec.ts b/src/frontend/tests/end-to-end/logs.spec.ts
new file mode 100644
index 00000000000..8f5ce4a2da2
--- /dev/null
+++ b/src/frontend/tests/end-to-end/logs.spec.ts
@@ -0,0 +1,70 @@
+import { test } from "@playwright/test";
+
+test("should able to see and interact with logs", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+  await page.waitForTimeout(1000);
+
+  await page.getByRole("heading", { name: "Basic Prompting" }).click();
+  await page.waitForTimeout(2000);
+
+  await page.getByTestId("icon-ChevronDown").click();
+  await page.getByText("Logs").click();
+  await page.getByText("No Data Available", { exact: true }).isVisible();
+  await page.keyboard.press("Escape");
+
+  await page
+    .getByTestId("popover-anchor-input-openai_api_key")
+    .fill(process.env.OPENAI_API_KEY ?? "");
+  await page.getByTestId("button_run_chat output").first().click();
+
+  await page.waitForTimeout(2000);
+  await page
+    .getByText("Chat Output built successfully", { exact: true })
+    .isVisible();
+  await page.getByTestId("icon-ChevronDown").click();
+  await page.getByText("Logs").click();
+
+  await page.getByText("timestamp").first().isVisible();
+  await page.getByText("flow_id").first().isVisible();
+  await page.getByText("source").first().isVisible();
+  await page.getByText("target", { exact: true }).first().isVisible();
+  await page.getByText("target_args", { exact: true }).first().isVisible();
+  await page.getByRole("gridcell").first().isVisible();
+
+  await page.keyboard.press("Escape");
+
+  await page.getByTestId("user-profile-settings").first().click();
+  await page.getByText("Settings", { exact: true }).click();
+
+  await page.getByText("Messages", { exact: true }).click();
+  await page.getByText("index", { exact: true }).last().isVisible();
+  await page.getByText("timestamp", { exact: true }).isVisible();
+  await page.getByText("flow_id", { exact: true }).isVisible();
+  await page.getByText("source", { exact: true }).isVisible();
+  await page.getByText("target", { exact: true }).isVisible();
+  await page.getByText("vertex_id", { exact: true }).isVisible();
+  await page.getByText("status", { exact: true }).isVisible();
+  await page.getByText("error", { exact: true }).isVisible();
+  await page.getByText("outputs", { exact: true }).isVisible();
+  await page.getByText("inputs", { exact: true }).isVisible();
+
+  await page.getByRole("gridcell").first().isVisible();
+});
diff --git a/src/frontend/tests/end-to-end/nestedComponent.spec.ts b/src/frontend/tests/end-to-end/nestedComponent.spec.ts
new file mode 100644
index 00000000000..a00e2f9b324
--- /dev/null
+++ b/src/frontend/tests/end-to-end/nestedComponent.spec.ts
@@ -0,0 +1,174 @@
+import { expect, test } from "@playwright/test";
+
+test("NestedComponent", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+
+  await page.getByTestId("blank-flow").click();
+  await page.waitForTimeout(3000);
+  await page.getByTestId("extended-disclosure").click();
+  await page.getByPlaceholder("Search").click();
+  await page.getByPlaceholder("Search").fill("pinecone");
+
+  await page.waitForTimeout(1000);
+
+  await page
+    .getByTestId("vectorstoresPinecone")
+    .first()
+    .dragTo(page.locator('//*[@id="react-flow-id"]'));
+  await page.click('//*[@id="react-flow-id"]');
+
+  await page.getByTestId("more-options-modal").click();
+  await page.getByTestId("edit-button-modal").click();
+
+  // showindex_name
+  await page.locator('//*[@id="showindex_name"]').click();
+
+  expect(
+    await page.locator('//*[@id="showindex_name"]').isChecked(),
+  ).toBeFalsy();
+
+  // shownamespace
+  await page.locator('//*[@id="shownamespace"]').click();
+
+  expect(
+    await page.locator('//*[@id="shownamespace"]').isChecked(),
+  ).toBeFalsy();
+
+  // showpinecone_api_key
+  await page.locator('//*[@id="showpinecone_api_key"]').click();
+
+  expect(
+    await page.locator('//*[@id="showpinecone_api_key"]').isChecked(),
+  ).toBeFalsy();
+
+  // showindex_name
+  await page.locator('//*[@id="showindex_name"]').click();
+
+  expect(
+    await page.locator('//*[@id="showindex_name"]').isChecked(),
+  ).toBeTruthy();
+
+  // shownamespace
+  await page.locator('//*[@id="shownamespace"]').click();
+
+  expect(
+    await page.locator('//*[@id="shownamespace"]').isChecked(),
+  ).toBeTruthy();
+
+  // showpinecone_api_key
+  await page.locator('//*[@id="showpinecone_api_key"]').click();
+
+  expect(
+    await page.locator('//*[@id="showpinecone_api_key"]').isChecked(),
+  ).toBeTruthy();
+
+  // showindex_name
+  await page.locator('//*[@id="showindex_name"]').click();
+
+  expect(
+    await page.locator('//*[@id="showindex_name"]').isChecked(),
+  ).toBeFalsy();
+
+  // shownamespace
+  await page.locator('//*[@id="shownamespace"]').click();
+
+  expect(
+    await page.locator('//*[@id="shownamespace"]').isChecked(),
+  ).toBeFalsy();
+
+  // showpinecone_api_key
+  await page.locator('//*[@id="showpinecone_api_key"]').click();
+
+  expect(
+    await page.locator('//*[@id="showpinecone_api_key"]').isChecked(),
+  ).toBeFalsy();
+
+  // showindex_name
+  await page.locator('//*[@id="showindex_name"]').click();
+
+  expect(
+    await page.locator('//*[@id="showindex_name"]').isChecked(),
+  ).toBeTruthy();
+
+  // shownamespace
+  await page.locator('//*[@id="shownamespace"]').click();
+
+  expect(
+    await page.locator('//*[@id="shownamespace"]').isChecked(),
+  ).toBeTruthy();
+
+  // showpinecone_api_key
+  await page.locator('//*[@id="showpinecone_api_key"]').click();
+
+  expect(
+    await page.locator('//*[@id="showpinecone_api_key"]').isChecked(),
+  ).toBeTruthy();
+
+  // showindex_name
+  await page.locator('//*[@id="showindex_name"]').click();
+
+  expect(
+    await page.locator('//*[@id="showindex_name"]').isChecked(),
+  ).toBeFalsy();
+
+  // shownamespace
+  await page.locator('//*[@id="shownamespace"]').click();
+
+  expect(
+    await page.locator('//*[@id="shownamespace"]').isChecked(),
+  ).toBeFalsy();
+
+  // showpinecone_api_key
+  await page.locator('//*[@id="showpinecone_api_key"]').click();
+
+  expect(
+    await page.locator('//*[@id="showpinecone_api_key"]').isChecked(),
+  ).toBeFalsy();
+
+  // showindex_name
+  await page.locator('//*[@id="showindex_name"]').click();
+
+  expect(
+    await page.locator('//*[@id="showindex_name"]').isChecked(),
+  ).toBeTruthy();
+
+  // shownamespace
+  await page.locator('//*[@id="shownamespace"]').click();
+
+  expect(
+    await page.locator('//*[@id="shownamespace"]').isChecked(),
+  ).toBeTruthy();
+
+  // showpinecone_api_key
+  await page.locator('//*[@id="showpinecone_api_key"]').click();
+
+  expect(
+    await page.locator('//*[@id="showpinecone_api_key"]').isChecked(),
+  ).toBeTruthy();
+
+  //showtext_key
+  await page.locator('//*[@id="showtext_key"]').click();
+
+  expect(
+    await page.locator('//*[@id="showtext_key"]').isChecked(),
+  ).toBeTruthy();
+
+  await page.getByText("Save Changes", { exact: true }).click();
+});
diff --git a/src/frontend/tests/end-to-end/promptModalComponent.spec.ts b/src/frontend/tests/end-to-end/promptModalComponent.spec.ts
index 690ec2d0550..b91cb6ed59a 100644
--- a/src/frontend/tests/end-to-end/promptModalComponent.spec.ts
+++ b/src/frontend/tests/end-to-end/promptModalComponent.spec.ts
@@ -1,32 +1,51 @@
 import { expect, test } from "@playwright/test";
 
 test("PromptTemplateComponent", async ({ page }) => {
-  await page.goto("http://localhost:3000/");
+  await page.goto("/");
   await page.waitForTimeout(2000);
 
-  await page.locator('//*[@id="new-project-btn"]').click();
-  await page.waitForTimeout(2000);
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
 
+  await page.getByTestId("blank-flow").click();
+  await page.waitForTimeout(3000);
+  await page.getByTestId("extended-disclosure").click();
   await page.getByPlaceholder("Search").click();
-  await page.getByPlaceholder("Search").fill("promptTemplate");
+  await page.getByPlaceholder("Search").fill("prompt");
 
-  await page.waitForTimeout(2000);
+  await page.waitForTimeout(1000);
 
   await page
-    .locator('//*[@id="promptsPromptTemplate"]')
+    .locator('//*[@id="promptsPrompt"]')
     .dragTo(page.locator('//*[@id="react-flow-id"]'));
   await page.mouse.up();
   await page.mouse.down();
+  await page.getByTitle("fit view").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTestId("prompt-input-template").click();
 
-  await page.getByTestId("prompt-input-0").click();
-
-  // await page.getByTestId("edit-prompt-sanitized").click();
-  // await page.getByTestId("modal-title").click();
   await page
-    .getByTestId("modal-prompt-input-0")
+    .getByTestId("modal-prompt-input-template")
     .fill("{prompt} example {prompt1}");
 
-  let value = await page.getByTestId("modal-prompt-input-0").inputValue();
+  let value = await page
+    .getByTestId("modal-prompt-input-template")
+    .inputValue();
 
   if (value != "{prompt} example {prompt1}") {
     expect(false).toBeTruthy();
@@ -45,35 +64,41 @@ test("PromptTemplateComponent", async ({ page }) => {
   await page.getByTestId("genericModalBtnSave").click();
 
   await page.getByTestId("div-textarea-prompt").click();
-  await page.getByTestId("text-area-modal").fill("prompt_value_!@#!@#");
+  await page.getByTestId("textarea-prompt").fill("prompt_value_!@#!@#");
 
-  value = await page.getByTestId("text-area-modal").inputValue();
+  value = await page.getByTestId("textarea-prompt").inputValue();
 
   if (value != "prompt_value_!@#!@#") {
     expect(false).toBeTruthy();
   }
 
-  await page.getByTestId("genericModalBtnSave").click();
+  await page.getByTestId("more-options-modal").click();
+
+  await page.getByTestId("save-button-modal").click();
+
+  const replace = await page.getByTestId("replace-button").isVisible();
+
+  if (replace) {
+    await page.getByTestId("replace-button").click();
+  }
 
   await page.getByTestId("div-textarea-prompt1").click();
   await page
-    .getByTestId("text-area-modal")
+    .getByTestId("textarea-prompt1")
     .fill("prompt_name_test_123123!@#!@#");
 
-  value = await page.getByTestId("text-area-modal").inputValue();
+  value = await page.getByTestId("textarea-prompt1").inputValue();
 
   if (value != "prompt_name_test_123123!@#!@#") {
     expect(false).toBeTruthy();
   }
 
-  value = await page.getByTestId("text-area-modal").inputValue();
+  value = await page.getByTestId("textarea-prompt1").inputValue();
 
   if (value != "prompt_name_test_123123!@#!@#") {
     expect(false).toBeTruthy();
   }
 
-  await page.getByTestId("genericModalBtnSave").click();
-
   await page.getByTestId("more-options-modal").click();
   await page.getByTestId("edit-button-modal").click();
 
@@ -115,7 +140,7 @@ test("PromptTemplateComponent", async ({ page }) => {
 
   await page.locator('//*[@id="showtemplate"]').click();
   expect(
-    await page.locator('//*[@id="showtemplate"]').isChecked()
+    await page.locator('//*[@id="showtemplate"]').isChecked(),
   ).toBeTruthy();
 
   await page.locator('//*[@id="showprompt"]').click();
@@ -135,13 +160,13 @@ test("PromptTemplateComponent", async ({ page }) => {
 
   await page.locator('//*[@id="showtemplate"]').click();
   expect(
-    await page.locator('//*[@id="showtemplate"]').isChecked()
+    await page.locator('//*[@id="showtemplate"]').isChecked(),
   ).toBeTruthy();
 
   await page.locator('//*[@id="showprompt"]').click();
   expect(await page.locator('//*[@id="showprompt"]').isChecked()).toBeTruthy();
 
-  await page.locator('//*[@id="saveChangesBtn"]').click();
+  await page.getByText("Save Changes", { exact: true }).click();
 
   await page.getByTestId("more-options-modal").click();
   await page.getByTestId("edit-button-modal").click();
diff --git a/src/frontend/tests/end-to-end/python_api_generation.spec.ts b/src/frontend/tests/end-to-end/python_api_generation.spec.ts
new file mode 100644
index 00000000000..849c4e9a934
--- /dev/null
+++ b/src/frontend/tests/end-to-end/python_api_generation.spec.ts
@@ -0,0 +1,30 @@
+import { expect, test } from "@playwright/test";
+
+test("python_api_generation", async ({ page, context }) => {
+  await page.goto("/");
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+  await page.getByRole("heading", { name: "Basic Prompting" }).click();
+  await page.waitForTimeout(2000);
+  await page.getByText("API", { exact: true }).click();
+  await page.getByRole("tab", { name: "Python API" }).click();
+  await page.getByTestId("icon-Copy").click();
+  const handle = await page.evaluateHandle(() =>
+    navigator.clipboard.readText(),
+  );
+  const clipboardContent = await handle.jsonValue();
+  expect(clipboardContent.length).toBeGreaterThan(0);
+});
diff --git a/src/frontend/tests/end-to-end/saveComponents.spec.ts b/src/frontend/tests/end-to-end/saveComponents.spec.ts
new file mode 100644
index 00000000000..fa9dbbc0036
--- /dev/null
+++ b/src/frontend/tests/end-to-end/saveComponents.spec.ts
@@ -0,0 +1,125 @@
+import { expect, test } from "@playwright/test";
+import { readFileSync } from "fs";
+
+test.describe("save component tests", () => {
+  /// <reference lib="dom"/>
+  test("save group component tests", async ({ page }) => {
+    await page.goto("/");
+    let modalCount = 0;
+    try {
+      const modalTitleElement = await page?.getByTestId("modal-title");
+      if (modalTitleElement) {
+        modalCount = await modalTitleElement.count();
+      }
+    } catch (error) {
+      modalCount = 0;
+    }
+
+    while (modalCount === 0) {
+      await page.getByText("New Project", { exact: true }).click();
+      await page.waitForTimeout(5000);
+      modalCount = await page.getByTestId("modal-title")?.count();
+    }
+    await page.waitForTimeout(1000);
+    await page.getByTestId("blank-flow").click();
+    await page.waitForTimeout(1000);
+
+    // Read your file into a buffer.
+    const jsonContent = readFileSync(
+      "src/frontend/tests/end-to-end/assets/flow_group_test.json",
+      "utf-8",
+    );
+
+    // Create the DataTransfer and File
+    const dataTransfer = await page.evaluateHandle((data) => {
+      const dt = new DataTransfer();
+      // Convert the buffer to a hex array
+      const file = new File([data], "flow_group_test.json", {
+        type: "application/json",
+      });
+      dt.items.add(file);
+      return dt;
+    }, jsonContent);
+
+    page.waitForTimeout(1000);
+
+    // Now dispatch
+    await page.dispatchEvent(
+      "//*[@id='react-flow-id']/div[1]/div[1]/div",
+      "drop",
+      {
+        dataTransfer,
+      },
+    );
+
+    const genericNoda = page.getByTestId("div-generic-node");
+    const elementCount = await genericNoda?.count();
+    if (elementCount > 0) {
+      expect(true).toBeTruthy();
+    }
+    await page
+      .locator('//*[@id="react-flow-id"]/div[1]/div[2]/button[3]')
+      .click();
+
+    await page.getByTestId("title-ChatOpenAI").click({
+      modifiers: ["Control"],
+    });
+
+    await page.getByTestId("title-Agent Initializer").click({
+      modifiers: ["Control"],
+    });
+
+    await page.getByRole("button", { name: "Group" }).click();
+
+    let textArea = page.getByTestId("div-textarea-description");
+    let elementCountText = await textArea?.count();
+    if (elementCountText > 0) {
+      expect(true).toBeTruthy();
+    }
+
+    let groupNode = page.getByTestId("title-Group");
+    let elementGroup = await groupNode?.count();
+    if (elementGroup > 0) {
+      expect(true).toBeTruthy();
+    }
+
+    await page.getByTestId("title-Group").click();
+    await page.getByTestId("more-options-modal").click();
+
+    await page.getByTestId("icon-SaveAll").click();
+
+    const replaceButton = await page.getByTestId("replace-button").isVisible();
+
+    if (replaceButton) {
+      await page.getByTestId("replace-button").click();
+    }
+    await page.waitForTimeout(3000);
+
+    await page.getByTestId("extended-disclosure").click();
+    await page.getByPlaceholder("Search").click();
+    await page.getByPlaceholder("Search").fill("group");
+    await page.waitForTimeout(1000);
+
+    await page
+      .getByTestId("saved_componentsGroup")
+      .first()
+      .dragTo(page.locator('//*[@id="react-flow-id"]'));
+    await page.mouse.up();
+    await page.mouse.down();
+    await page.getByTitle("fit view").click();
+    await page.getByTitle("zoom out").click();
+    await page.getByTitle("zoom out").click();
+    await page.getByTitle("zoom out").click();
+    textArea = page.getByTestId("div-textarea-description");
+    elementCountText = await textArea?.count();
+    if (elementCountText > 0) {
+      expect(true).toBeTruthy();
+    }
+
+    groupNode = page.getByTestId("title-Group");
+    elementGroup = await groupNode?.count();
+    if (elementGroup > 0) {
+      expect(true).toBeTruthy();
+    }
+  });
+});
diff --git a/src/frontend/tests/end-to-end/store.spec.ts b/src/frontend/tests/end-to-end/store.spec.ts
new file mode 100644
index 00000000000..bcd5ec15b80
--- /dev/null
+++ b/src/frontend/tests/end-to-end/store.spec.ts
@@ -0,0 +1,286 @@
+import { expect, test } from "@playwright/test";
+
+test("should exists Store", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(1000);
+
+  await page.getByTestId("button-store").isVisible();
+  await page.getByTestId("button-store").isEnabled();
+});
+
+test("should not have an API key", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(1000);
+
+  await page.getByTestId("button-store").click();
+  await page.waitForTimeout(2000);
+
+  await page.getByText("API Key Error").isVisible();
+});
+
+test("should find a searched Component on Store", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(1000);
+
+  await page.getByTestId("button-store").click();
+  await page.waitForTimeout(1000);
+
+  await page.getByTestId("search-store-input").fill("File Loader");
+  await page.getByTestId("search-store-button").click();
+  await page.getByText("File Loader").isVisible();
+
+  await page.getByTestId("search-store-input").fill("Basic RAG");
+  await page.getByTestId("search-store-button").click();
+  await page.getByText("Basic RAG").isVisible();
+
+  await page.getByTestId("search-store-input").fill("YouTube QA");
+  await page.getByTestId("search-store-button").click();
+  await page.getByText("YouTube QA").isVisible();
+});
+
+test("should filter by tag", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(1000);
+
+  await page.getByTestId("button-store").click();
+  await page.waitForTimeout(1000);
+
+  await page.getByTestId("tag-selector-Agent").click();
+  await page.getByText("File Loader").isVisible();
+  await page.getByTestId("tag-selector-Agent").click();
+  await page.getByText("Album Cover Builder").isVisible();
+
+  await page.getByTestId("tag-selector-Memory").click();
+  await page.getByText("MP3 QA12").isVisible();
+
+  await page.getByTestId("tag-selector-Chain").click();
+  await page.getByText("There are no").isVisible();
+  await page.getByTestId("tag-selector-Chain").click();
+
+  await page.getByTestId("tag-selector-Vector Store").click();
+  await page.getByText("MP3 QA12").isVisible();
+  await page.getByTestId("tag-selector-Vector Store").click();
+  await page.getByTestId("tag-selector-Memory").click();
+
+  await page.getByText("Basic RAG").isVisible();
+});
+
+test("should order the visualization", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(1000);
+
+  await page.getByTestId("button-store").click();
+  await page.waitForTimeout(1000);
+
+  await page.getByText("Basic RAG").isVisible();
+
+  await page.getByTestId("select-order-store").click();
+  await page.waitForTimeout(2000);
+  await page.getByText("Alphabetical").click();
+
+  await page.getByText("Album Cover Builder").isVisible();
+
+  await page.getByTestId("select-order-store").click();
+  await page.getByText("Popular").click();
+
+  await page.getByText("Basic RAG").isVisible();
+});
+
+test("should filter by type", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(1000);
+
+  await page.getByTestId("button-store").click();
+  await page.waitForTimeout(1000);
+
+  await page.getByText("Website Content QA").isVisible();
+
+  await page.getByTestId("flows-button-store").click();
+  await page.waitForTimeout(8000);
+
+  let iconGroup = await page.getByTestId("icon-Group")?.count();
+  expect(iconGroup).not.toBe(0);
+
+  await page.getByText("icon-ToyBrick").last().isHidden();
+
+  await page.getByTestId("components-button-store").click();
+  await page.waitForTimeout(8000);
+
+  await page.getByTestId("icon-Group").last().isHidden();
+  let toyBrick = await page.getByTestId("icon-ToyBrick")?.count();
+  expect(toyBrick).not.toBe(0);
+
+  await page.getByTestId("all-button-store").click();
+  await page.waitForTimeout(8000);
+
+  let iconGroupAllCount = await page.getByTestId("icon-Group")?.count();
+  await page.waitForTimeout(2000);
+  let toyBrickAllCount = await page.getByTestId("icon-ToyBrick")?.count();
+  await page.waitForTimeout(2000);
+
+  if (iconGroupAllCount === 0 || toyBrickAllCount === 0) {
+    expect(false).toBe(true);
+  }
+});
+
+test("should add API-KEY", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(1000);
+
+  await page.getByTestId("button-store").click();
+  await page.waitForTimeout(1000);
+
+  await page.getByTestId("api-key-button-store").click();
+  await page
+    .getByPlaceholder("Insert your API Key")
+    .fill("testtesttesttesttesttest");
+
+  await page.getByTestId("api-key-save-button-store").click();
+
+  await page.waitForTimeout(2000);
+  await page.getByText("Success! Your API Key has been saved.").isVisible();
+
+  await page.waitForTimeout(2000);
+  await page.getByText("API Key Error").isVisible();
+
+  await page
+    .getByPlaceholder("Insert your API Key")
+    .fill(process.env.STORE_API_KEY ?? "");
+  await page.getByTestId("api-key-save-button-store").click();
+
+  await page.waitForTimeout(2000);
+  await page.getByText("Success! Your API Key has been saved.").isVisible();
+
+  await page.waitForTimeout(2000);
+  await page.getByText("API Key Error").isHidden();
+});
+
+test("should like and add components and flows", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(1000);
+
+  await page.getByTestId("button-store").click();
+  await page.waitForTimeout(1000);
+
+  await page.getByTestId("api-key-button-store").click();
+
+  await page
+    .getByPlaceholder("Insert your API Key")
+    .fill(process.env.STORE_API_KEY ?? "");
+  await page.getByTestId("api-key-save-button-store").click();
+
+  await page.waitForTimeout(2000);
+  await page.getByText("Success! Your API Key has been saved.").isVisible();
+
+  await page.waitForTimeout(2000);
+  await page.getByText("API Key Error").isHidden();
+
+  await page.waitForTimeout(2000);
+
+  await page.getByTestId("button-store").click();
+  await page.waitForTimeout(5000);
+
+  const likedValue = await page
+    .getByTestId("likes-Website Content QA")
+    .innerText();
+
+  await page.getByTestId("like-Website Content QA").click();
+
+  await page.waitForTimeout(5000);
+  const likedValueAfter = await page
+    .getByTestId("likes-Website Content QA")
+    .innerText();
+
+  if (Number(likedValue) === Number(likedValueAfter)) {
+    expect(false).toBe(true);
+  }
+
+  const downloadValue = await page
+    .getByTestId("downloads-Website Content QA")
+    .innerText();
+
+  await page.getByTestId("install-Website Content QA").click();
+  await page.waitForTimeout(2000);
+  await page.getByText("Flow Installed Successfully").isVisible();
+  await page.waitForTimeout(5000);
+
+  const downloadValueAfter = await page
+    .getByTestId("downloads-Website Content QA")
+    .innerText();
+
+  if (Number(downloadValue) === Number(downloadValueAfter)) {
+    expect(false).toBe(true);
+  }
+
+  await page.getByTestId("install-Basic RAG").click();
+  await page.waitForTimeout(2000);
+  await page.getByText("Component Installed Successfully").isVisible();
+  await page.waitForTimeout(5000);
+
+  await page.getByText("My Collection").click();
+  await page.getByText("Website Content QA").first().isVisible();
+
+  await page.getByText("Components").first().click();
+  await page.getByText("Basic RAG").first().isVisible();
+});
+
+test("should share component with share button", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+  await page.waitForTimeout(1000);
+
+  const randomName = Math.random().toString(36).substring(2);
+
+  await page.getByRole("heading", { name: "Basic Prompting" }).click();
+  await page.waitForTimeout(1000);
+  const flowName = await page.getByTestId("flow_name").innerText();
+  await page.getByTestId("flow_name").click();
+  await page.getByText("Settings").click();
+  const flowDescription = await page
+    .getByPlaceholder("Flow description")
+    .inputValue();
+  await page.getByPlaceholder("Flow name").fill(randomName);
+  await page.getByText("Save").last().click();
+  await page.getByText("Close").last().click();
+
+  await page.getByTestId("icon-Share3").first().click();
+  await page.getByText("Name:").isVisible();
+  await page.getByText("Description:").isVisible();
+  await page.getByText("Set workflow status to public").isVisible();
+  await page
+    .getByText(
+      "Attention: API keys in specified fields are automatically removed upon sharing.",
+    )
+    .isVisible();
+  await page.getByText("Export").first().isVisible();
+  await page.getByText("Share Flow").first().isVisible();
+
+  await page.waitForTimeout(5000);
+
+  await page.getByText("Agent").first().isVisible();
+  await page.getByText("Memory").first().isVisible();
+  await page.getByText("Chain").first().isVisible();
+  await page.getByText("Vector Store").first().isVisible();
+  await page.getByText("Prompt").last().isVisible();
+  await page.getByTestId("public-checkbox").isChecked();
+  await page.getByText(flowName).last().isVisible();
+  await page.getByText(flowDescription).last().isVisible();
+  await page.waitForTimeout(1000);
+  await page.getByText("Flow shared successfully").last().isVisible();
+});
diff --git a/src/frontend/tests/end-to-end/textAreaModalComponent.spec.ts b/src/frontend/tests/end-to-end/textAreaModalComponent.spec.ts
new file mode 100644
index 00000000000..590d439336e
--- /dev/null
+++ b/src/frontend/tests/end-to-end/textAreaModalComponent.spec.ts
@@ -0,0 +1,79 @@
+import { expect, test } from "@playwright/test";
+
+test("TextAreaModalComponent", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(1000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+
+  await page.getByTestId("blank-flow").click();
+  await page.waitForTimeout(3000);
+  await page.getByTestId("extended-disclosure").click();
+  await page.getByPlaceholder("Search").click();
+  await page.getByPlaceholder("Search").fill("prompt");
+
+  await page.waitForTimeout(1000);
+
+  await page
+    .locator('//*[@id="promptsPrompt"]')
+    .dragTo(page.locator('//*[@id="react-flow-id"]'));
+  await page.mouse.up();
+  await page.mouse.down();
+  await page.getByTitle("fit view").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTestId("prompt-input-template").click();
+
+  await page.getByTestId("modal-prompt-input-template").fill("{text}");
+
+  let valueBadgeOne = await page.locator('//*[@id="badge0"]').innerText();
+  if (valueBadgeOne != "text") {
+    expect(false).toBeTruthy();
+  }
+
+  await page.getByTestId("genericModalBtnSave").click();
+
+  await page
+    .getByTestId("textarea-text")
+    .fill(
+      "test test test test test test test test test test test !@#%*)( 123456789101010101010101111111111 !!!!!!!!!!",
+    );
+
+  await page.getByTestId("textarea-text-ExternalLink").click();
+
+  await page.waitForTimeout(500);
+
+  const value = await page.getByTestId("text-area-modal").inputValue();
+
+  if (
+    value !=
+    "test test test test test test test test test test test !@#%*)( 123456789101010101010101111111111 !!!!!!!!!!"
+  ) {
+    expect(false).toBeTruthy();
+  }
+
+  await page.getByTestId("text-area-modal").fill("test123123");
+
+  await page.getByTestId("genericModalBtnSave").click();
+
+  const valueTextArea = await page.getByTestId("textarea-text").inputValue();
+
+  if (valueTextArea != "test123123") {
+    expect(false).toBeTruthy();
+  }
+});
diff --git a/src/frontend/tests/end-to-end/textInputOutput.spec.ts b/src/frontend/tests/end-to-end/textInputOutput.spec.ts
new file mode 100644
index 00000000000..586e1361eb1
--- /dev/null
+++ b/src/frontend/tests/end-to-end/textInputOutput.spec.ts
@@ -0,0 +1,155 @@
+import { expect, test } from "@playwright/test";
+import * as dotenv from "dotenv";
+import path from "path";
+
+test("TextInputOutputComponent", async ({ page }) => {
+  if (!process.env.CI) {
+    dotenv.config({ path: path.resolve(__dirname, "../../.env") });
+  }
+
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+
+  await page.waitForTimeout(1000);
+
+  await page.getByTestId("blank-flow").click();
+  await page.waitForTimeout(3000);
+  await page.getByTestId("extended-disclosure").click();
+  await page.getByPlaceholder("Search").click();
+  await page.getByPlaceholder("Search").fill("text input");
+  await page.waitForTimeout(1000);
+
+  await page
+    .getByTestId("inputsText Input")
+    .dragTo(page.locator('//*[@id="react-flow-id"]'));
+  await page.mouse.up();
+  await page.mouse.down();
+
+  await page.getByPlaceholder("Search").click();
+  await page.getByPlaceholder("Search").fill("openai");
+  await page.waitForTimeout(1000);
+
+  await page
+    .getByTestId("modelsOpenAI")
+    .dragTo(page.locator('//*[@id="react-flow-id"]'));
+  await page.mouse.up();
+  await page.mouse.down();
+
+  await page.getByTitle("fit view").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+
+  // Click and hold on the first element
+  await page
+    .locator(
+      '//*[@id="react-flow-id"]/div/div[1]/div/div/div[2]/div[1]/div/div[2]/div[5]/button/div[1]',
+    )
+    .hover();
+  await page.mouse.down();
+
+  // Move to the second element
+  await page
+    .locator(
+      '//*[@id="react-flow-id"]/div/div[1]/div/div/div[2]/div[2]/div/div[2]/div[3]/div/button/div[1]',
+    )
+    .hover();
+
+  // Release the mouse
+  await page.mouse.up();
+
+  await page.getByPlaceholder("Search").click();
+  await page.getByPlaceholder("Search").fill("text output");
+
+  await page
+    .getByTestId("outputsText Output")
+    .dragTo(page.locator('//*[@id="react-flow-id"]'));
+  await page.mouse.up();
+  await page.mouse.down();
+
+  await page.getByTitle("fit view").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+
+  // Click and hold on the first element
+  await page
+    .locator(
+      '//*[@id="react-flow-id"]/div/div[1]/div/div/div[2]/div[2]/div/div[2]/div[15]/button/div[1]',
+    )
+    .hover();
+  await page.mouse.down();
+
+  // Move to the second element
+  await page
+    .locator(
+      '//*[@id="react-flow-id"]/div/div[1]/div/div/div[2]/div[3]/div/div[2]/div[3]/div/button/div[1]',
+    )
+    .hover();
+
+  // Release the mouse
+  await page.mouse.up();
+
+  if (!process.env.OPENAI_API_KEY) {
+    //You must set the OPENAI_API_KEY on .env file to run this test
+    expect(false).toBe(true);
+  }
+
+  await page
+    .getByTestId("popover-anchor-input-input_value")
+    .nth(0)
+    .fill("This is a test!");
+
+  await page
+    .getByTestId("popover-anchor-input-openai_api_key")
+    .fill(process.env.OPENAI_API_KEY ?? "");
+  await page.getByText("Playground", { exact: true }).click();
+  await page.getByText("Run Flow", { exact: true }).click();
+
+  await page.waitForTimeout(5000);
+
+  let textInputContent = await page
+    .getByPlaceholder("Enter text...")
+    .textContent();
+  expect(textInputContent).toBe("This is a test!");
+
+  await page.getByText("Outputs", { exact: true }).nth(1).click();
+  await page.getByText("Text Output", { exact: true }).nth(2).click();
+  let contentOutput = await page.getByPlaceholder("Enter text...").inputValue();
+  expect(contentOutput).not.toBe(null);
+
+  await page.keyboard.press("Escape");
+
+  await page
+    .getByTestId("popover-anchor-input-input_value")
+    .nth(0)
+    .fill("This is a test, again just to be sure!");
+  await page.getByText("Playground", { exact: true }).click();
+  await page.getByText("Run Flow", { exact: true }).click();
+
+  await page.waitForTimeout(5000);
+
+  textInputContent = await page.getByPlaceholder("Enter text...").textContent();
+  expect(textInputContent).toBe("This is a test, again just to be sure!");
+
+  await page.getByText("Outputs", { exact: true }).nth(1).click();
+  await page.getByText("Text Output", { exact: true }).nth(2).click();
+  contentOutput = await page.getByPlaceholder("Enter text...").inputValue();
+  expect(contentOutput).not.toBe(null);
+});
diff --git a/src/frontend/tests/end-to-end/toggleComponent.spec.ts b/src/frontend/tests/end-to-end/toggleComponent.spec.ts
new file mode 100644
index 00000000000..58d909af431
--- /dev/null
+++ b/src/frontend/tests/end-to-end/toggleComponent.spec.ts
@@ -0,0 +1,181 @@
+import { expect, test } from "@playwright/test";
+
+test("ToggleComponent", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+
+  await page.getByTestId("blank-flow").click();
+  await page.waitForTimeout(3000);
+  await page.getByTestId("extended-disclosure").click();
+  await page.getByPlaceholder("Search").click();
+  await page.getByPlaceholder("Search").fill("directory");
+
+  await page.waitForTimeout(1000);
+  await page
+    .getByTestId("dataDirectory")
+    .dragTo(page.locator('//*[@id="react-flow-id"]'));
+  await page.mouse.up();
+  await page.mouse.down();
+
+  await page.getByTitle("fit view").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+
+  await page.getByTestId("div-generic-node").click();
+
+  await page.getByTestId("more-options-modal").click();
+  await page.getByTestId("edit-button-modal").click();
+
+  await page.locator('//*[@id="showload_hidden"]').click();
+  expect(
+    await page.locator('//*[@id="showload_hidden"]').isChecked(),
+  ).toBeTruthy();
+
+  await page.getByText("Save Changes", { exact: true }).click();
+
+  await page.getByTitle("fit view").click();
+
+  await page.getByTestId("toggle-load_hidden").click();
+  expect(await page.getByTestId("toggle-load_hidden").isChecked()).toBeTruthy();
+
+  await page.getByTestId("toggle-load_hidden").click();
+  expect(await page.getByTestId("toggle-load_hidden").isChecked()).toBeFalsy();
+
+  await page.getByTestId("toggle-load_hidden").click();
+  expect(await page.getByTestId("toggle-load_hidden").isChecked()).toBeTruthy();
+
+  await page.getByTestId("toggle-load_hidden").click();
+  expect(await page.getByTestId("toggle-load_hidden").isChecked()).toBeFalsy();
+
+  await page.getByTestId("toggle-load_hidden").click();
+  expect(await page.getByTestId("toggle-load_hidden").isChecked()).toBeTruthy();
+
+  await page.getByTestId("div-generic-node").click();
+
+  await page.getByTitle("fit view").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+
+  await page.getByTestId("more-options-modal").click();
+  await page.getByTestId("edit-button-modal").click();
+
+  expect(await page.getByTestId("toggle-load_hidden").isChecked()).toBeTruthy();
+
+  await page.locator('//*[@id="showload_hidden"]').click();
+  expect(
+    await page.locator('//*[@id="showload_hidden"]').isChecked(),
+  ).toBeFalsy();
+
+  await page.locator('//*[@id="showmax_concurrency"]').click();
+  expect(
+    await page.locator('//*[@id="showmax_concurrency"]').isChecked(),
+  ).toBeTruthy();
+
+  await page.locator('//*[@id="showpath"]').click();
+  expect(await page.locator('//*[@id="showpath"]').isChecked()).toBeFalsy();
+
+  await page.locator('//*[@id="showrecursive"]').click();
+  expect(
+    await page.locator('//*[@id="showrecursive"]').isChecked(),
+  ).toBeTruthy();
+
+  await page.locator('//*[@id="showsilent_errors"]').click();
+  expect(
+    await page.locator('//*[@id="showsilent_errors"]').isChecked(),
+  ).toBeTruthy();
+
+  await page.locator('//*[@id="showuse_multithreading"]').click();
+  expect(
+    await page.locator('//*[@id="showuse_multithreading"]').isChecked(),
+  ).toBeTruthy();
+
+  await page.locator('//*[@id="showmax_concurrency"]').click();
+  expect(
+    await page.locator('//*[@id="showmax_concurrency"]').isChecked(),
+  ).toBeFalsy();
+
+  await page.locator('//*[@id="showpath"]').click();
+  expect(await page.locator('//*[@id="showpath"]').isChecked()).toBeTruthy();
+
+  await page.locator('//*[@id="showrecursive"]').click();
+  expect(
+    await page.locator('//*[@id="showrecursive"]').isChecked(),
+  ).toBeFalsy();
+
+  await page.locator('//*[@id="showsilent_errors"]').click();
+  expect(
+    await page.locator('//*[@id="showsilent_errors"]').isChecked(),
+  ).toBeFalsy();
+
+  await page.locator('//*[@id="showuse_multithreading"]').click();
+  expect(
+    await page.locator('//*[@id="showuse_multithreading"]').isChecked(),
+  ).toBeFalsy();
+
+  await page.getByText("Save Changes", { exact: true }).click();
+
+  const plusButtonLocator = page.getByTestId("toggle-load_hidden");
+  const elementCount = await plusButtonLocator?.count();
+  if (elementCount === 0) {
+    expect(true).toBeTruthy();
+
+    await page.getByTestId("div-generic-node").click();
+
+    await page.getByTestId("more-options-modal").click();
+    await page.getByTestId("edit-button-modal").click();
+
+    await page.locator('//*[@id="showload_hidden"]').click();
+    expect(
+      await page.locator('//*[@id="showload_hidden"]').isChecked(),
+    ).toBeTruthy();
+
+    expect(
+      await page.getByTestId("toggle-edit-load_hidden").isChecked(),
+    ).toBeTruthy();
+
+    await page.getByText("Save Changes", { exact: true }).click();
+
+    await page.getByTestId("toggle-load_hidden").click();
+    expect(
+      await page.getByTestId("toggle-load_hidden").isChecked(),
+    ).toBeFalsy();
+
+    await page.getByTestId("toggle-load_hidden").click();
+    expect(
+      await page.getByTestId("toggle-load_hidden").isChecked(),
+    ).toBeTruthy();
+
+    await page.getByTestId("toggle-load_hidden").click();
+    expect(
+      await page.getByTestId("toggle-load_hidden").isChecked(),
+    ).toBeFalsy();
+
+    await page.getByTestId("toggle-load_hidden").click();
+    expect(
+      await page.getByTestId("toggle-load_hidden").isChecked(),
+    ).toBeTruthy();
+
+    await page.getByTestId("toggle-load_hidden").click();
+    expect(
+      await page.getByTestId("toggle-load_hidden").isChecked(),
+    ).toBeFalsy();
+  }
+});
diff --git a/src/frontend/tests/end-to-end/tweaks_test.spec.ts b/src/frontend/tests/end-to-end/tweaks_test.spec.ts
new file mode 100644
index 00000000000..871e8a2ba3c
--- /dev/null
+++ b/src/frontend/tests/end-to-end/tweaks_test.spec.ts
@@ -0,0 +1,127 @@
+import { expect, test } from "@playwright/test";
+
+test("curl_api_generation", async ({ page, context }) => {
+  await page.goto("/");
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+
+  await page.getByRole("heading", { name: "Basic Prompting" }).click();
+  await page.waitForTimeout(2000);
+  await page.getByText("API", { exact: true }).click();
+  await page.getByRole("tab", { name: "cURL" }).click();
+  await page.getByTestId("icon-Copy").click();
+  const handle = await page.evaluateHandle(() =>
+    navigator.clipboard.readText(),
+  );
+  const clipboardContent = await handle.jsonValue();
+  const oldValue = clipboardContent;
+  expect(clipboardContent.length).toBeGreaterThan(0);
+  await page.getByRole("tab", { name: "Tweaks" }).click();
+  await page
+    .getByRole("heading", { name: "OpenAi" })
+    .locator("div")
+    .first()
+    .click();
+  await page
+    .getByRole("textbox", { name: "Type something..." })
+    .first()
+    .click();
+  await page
+    .getByRole("textbox", { name: "Type something..." })
+    .first()
+    .press("Control+a");
+  await page
+    .getByRole("textbox", { name: "Type something..." })
+    .first()
+    .fill("teste");
+  await page.getByRole("tab", { name: "cURL" }).click();
+  await page.getByTestId("icon-Copy").click();
+  const handle2 = await page.evaluateHandle(() =>
+    navigator.clipboard.readText(),
+  );
+  const clipboardContent2 = await handle2.jsonValue();
+  const newValue = clipboardContent2;
+  expect(oldValue).not.toBe(newValue);
+  expect(clipboardContent2.length).toBeGreaterThan(clipboardContent.length);
+});
+
+test("check if tweaks are updating when someothing on the flow changes", async ({
+  page,
+}) => {
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+  await page.waitForTimeout(1000);
+
+  await page.getByTestId("blank-flow").click();
+  await page.waitForTimeout(3000);
+  await page.getByTestId("extended-disclosure").click();
+  await page.getByPlaceholder("Search").click();
+  await page.getByPlaceholder("Search").fill("Chroma");
+
+  await page.waitForTimeout(1000);
+
+  await page
+    .getByTestId("vectorstoresChroma DB")
+    .dragTo(page.locator('//*[@id="react-flow-id"]'));
+  await page.mouse.up();
+  await page.mouse.down();
+  await page.getByTitle("fit view").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTitle("zoom out").click();
+  await page.getByTestId("popover-anchor-input-collection_name").click();
+  await page
+    .getByTestId("popover-anchor-input-collection_name")
+    .fill("collection_name_test_123123123!@#$&*(&%$@");
+
+  await page.getByTestId("popover-anchor-input-persist_directory").click();
+  await page
+    .getByTestId("popover-anchor-input-persist_directory")
+    .fill("persist_directory_123123123!@#$&*(&%$@");
+
+  await page.getByText("API", { exact: true }).first().click();
+
+  await page.getByText("Tweaks").nth(1).click();
+
+  await page.getByText("collection_name_test_123123123!@#$&*(&%$@").isVisible();
+  await page.getByText("persist_directory_123123123!@#$&*(&%$@").isVisible();
+
+  await page.getByText("Python API", { exact: true }).click();
+
+  await page.getByText("collection_name_test_123123123!@#$&*(&%$@").isVisible();
+  await page.getByText("persist_directory_123123123!@#$&*(&%$@").isVisible();
+
+  await page.getByText("Python Code", { exact: true }).click();
+
+  await page.getByText("collection_name_test_123123123!@#$&*(&%$@").isVisible();
+  await page.getByText("persist_directory_123123123!@#$&*(&%$@").isVisible();
+});
diff --git a/src/frontend/tests/end-to-end/twoEdges.spec.ts b/src/frontend/tests/end-to-end/twoEdges.spec.ts
new file mode 100644
index 00000000000..abae18ba397
--- /dev/null
+++ b/src/frontend/tests/end-to-end/twoEdges.spec.ts
@@ -0,0 +1,38 @@
+import { expect, test } from "@playwright/test";
+
+test("user should be able to see multiple edges and interact with them", async ({
+  page,
+}) => {
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+  await page.waitForTimeout(1000);
+
+  await page.getByText("Vector Store RAG", { exact: true }).last().click();
+  await page.waitForTimeout(3000);
+  await page.getByText("Retriever", { exact: true }).first().isVisible();
+  await page.getByText("Search Results", { exact: true }).first().isVisible();
+  await page.getByTestId("icon-Eye").nth(24).click();
+  await page.getByText("Retriever", { exact: true }).first().isHidden();
+  await page.getByTestId("icon-ChevronDown").last().isVisible();
+  await page.getByTestId("icon-ChevronDown").last().click();
+  await page.getByText("Retriever", { exact: true }).first().isVisible();
+  await page.getByText("Search Results", { exact: true }).first().isVisible();
+
+  await page.getByTestId("icon-EyeOff").nth(0).isVisible();
+});
diff --git a/src/frontend/tests/end-to-end/userSettings.spec.ts b/src/frontend/tests/end-to-end/userSettings.spec.ts
new file mode 100644
index 00000000000..df760cbcac9
--- /dev/null
+++ b/src/frontend/tests/end-to-end/userSettings.spec.ts
@@ -0,0 +1,127 @@
+import { test } from "@playwright/test";
+
+test("should see general profile gradient", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+  await page.getByTestId("user-profile-settings").click();
+  await page.waitForTimeout(1000);
+
+  await page.getByText("Settings").click();
+  await page.waitForTimeout(3000);
+
+  await page.getByText("General").nth(2).isVisible();
+  await page.getByText("Profile Gradient").isVisible();
+});
+
+test("should interact with global variables", async ({ page }) => {
+  const randomName = Math.random().toString(36).substring(2);
+
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+  await page.getByTestId("user-profile-settings").click();
+  await page.getByText("Settings").click();
+  await page.getByText("Global Variables").click();
+  await page.getByText("Global Variables").nth(2);
+  await page.getByText("Global Variables", { exact: true }).nth(1).isVisible();
+  await page.getByText("Add New").click();
+  await page
+    .getByPlaceholder("Insert a name for the variable...")
+    .fill(randomName);
+  await page.getByTestId("popover-anchor-type-global-variables").click();
+  await page.getByPlaceholder("Search options...").fill("Generic");
+  await page.waitForTimeout(2000);
+  await page.getByText("Generic", { exact: true }).last().isVisible();
+  await page.getByText("Generic", { exact: true }).last().click();
+
+  await page.getByTestId("popover-anchor-type-global-variables").click();
+  await page.waitForTimeout(2000);
+  await page.getByPlaceholder("Search options...").fill("Generic");
+  await page.getByText("Generic", { exact: true }).last().isVisible();
+  await page.getByText("Generic", { exact: true }).last().click();
+
+  await page
+    .getByPlaceholder("Insert a value for the variable...")
+    .fill("testtesttesttesttesttesttesttest");
+  await page.getByTestId("popover-anchor-apply-to-fields").click();
+  await page.waitForTimeout(2000);
+
+  await page.getByPlaceholder("Search options...").fill("System Message");
+
+  await page.getByText("System Message").first().click();
+
+  await page.getByPlaceholder("Search options...").fill("openAI");
+
+  await page.getByText("OpenAI API Base").first().click();
+
+  await page.getByPlaceholder("Search options...").fill("llama");
+
+  await page.getByText("Ollama").first().click();
+
+  await page.keyboard.press("Escape");
+  await page.getByText("Save Variable", { exact: true }).click();
+
+  await page.getByText(randomName).isVisible();
+
+  await page
+    .getByLabel("Press Space to toggle all rows selection (unchecked)")
+    .nth(0)
+    .click();
+  await page.getByTestId("icon-Trash2").click();
+  await page.getByText("No data available").isVisible();
+});
+
+test("should see shortcuts", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+  await page.getByTestId("user-profile-settings").click();
+  await page.waitForTimeout(1000);
+
+  await page.getByText("Settings").click();
+  await page.waitForTimeout(3000);
+
+  await page.getByText("General").nth(2).isVisible();
+  await page.getByText("Shortcuts").nth(0).click();
+  await page.getByText("Shortcuts", { exact: true }).nth(1).isVisible();
+  await page
+    .getByText("Advanced Settings Component", { exact: true })
+    .isVisible();
+  await page.getByText("Minimize Component", { exact: true }).isVisible();
+  await page.getByText("Code Component", { exact: true }).isVisible();
+  await page.getByText("Copy Component", { exact: true }).isVisible();
+  await page.getByText("Duplicate Component", { exact: true }).isVisible();
+  await page.getByText("Share Component", { exact: true }).isVisible();
+  await page.getByText("Docs Component", { exact: true }).isVisible();
+  await page.getByText("Save Component", { exact: true }).isVisible();
+  await page.getByText("Delete Component", { exact: true }).isVisible();
+  await page.getByText("Open Playground", { exact: true }).isVisible();
+  await page.getByText("Undo", { exact: true }).isVisible();
+
+  await page.mouse.wheel(0, 10000);
+
+  await page.getByText("Redo", { exact: true }).last().isVisible();
+
+  await page.getByText("Reset Columns").last().isVisible();
+});
+
+test("should interact with API Keys", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+  await page.getByTestId("user-profile-settings").click();
+  await page.getByText("Settings").click();
+  await page.getByText("Langflow API").click();
+  await page.getByText("Langflow API", { exact: true }).nth(1).isVisible();
+  await page.getByText("Add New").click();
+  await page.getByPlaceholder("Insert a name for your API Key").isVisible();
+
+  const randomName = Math.random().toString(36).substring(2);
+
+  await page
+    .getByPlaceholder("Insert a name for your API Key")
+    .fill(randomName);
+  await page.getByText("Create Secret Key", { exact: true }).click();
+  await page.getByText("Please save").isVisible();
+  await page.getByTestId("icon-Copy").click();
+  await page.waitForTimeout(1000);
+  await page.getByText("Api Key Copied!").isVisible();
+  await page.getByText(randomName).isVisible();
+});
diff --git a/src/frontend/tests/globalTeardown.ts b/src/frontend/tests/globalTeardown.ts
new file mode 100644
index 00000000000..110978d4268
--- /dev/null
+++ b/src/frontend/tests/globalTeardown.ts
@@ -0,0 +1,25 @@
+// tests/globalTeardown.ts
+
+import fs from "fs";
+import path from "path";
+
+export default async () => {
+  try {
+    console.log("Removing the temp database");
+    // Check if the file exists in the path
+    // this file is in src/frontend/tests/globalTeardown.ts
+    // temp is in src/frontend/temp
+    const tempDbPath = path.join(__dirname, "..", "temp");
+    console.log("tempDbPath", tempDbPath);
+    // Remove the temp database
+    fs.rmSync(tempDbPath);
+    // Check if the file is removed
+    if (!fs.existsSync(tempDbPath)) {
+      console.log("Successfully removed the temp database");
+    } else {
+      console.error("Error while removing the temp database");
+    }
+  } catch (error) {
+    console.error("Error while removing the temp database:", error);
+  }
+};
diff --git a/src/frontend/tests/onlyFront/assets/flowtest.json b/src/frontend/tests/onlyFront/assets/flowtest.json
deleted file mode 100644
index 8b83ee2708a..00000000000
--- a/src/frontend/tests/onlyFront/assets/flowtest.json
+++ /dev/null
@@ -1,196 +0,0 @@
-{
-  "name": "Lonely Stonebraker",
-  "description": "Design Dialogues with Langflow.",
-  "data": {
-    "nodes": [
-      {
-        "width": 384,
-        "height": 461,
-        "id": "CustomComponent-MtJjl",
-        "type": "genericNode",
-        "position": { "x": 534.3712097224906, "y": -135.01908566635723 },
-        "data": {
-          "type": "CustomComponent",
-          "node": {
-            "template": {
-              "code": {
-                "type": "code",
-                "required": true,
-                "placeholder": "",
-                "list": false,
-                "show": true,
-                "multiline": true,
-                "value": "from langflow import CustomComponent\nfrom langflow.field_typing import Data\nfrom pathlib import Path\nfrom platformdirs import user_cache_dir\nimport os\n\nclass Component(CustomComponent):\n    documentation: str = \"http://docs.langflow.org/components/custom\"\n\n    def build_config(self):\n        return {\"text_input\":{\"display_name\":\"Text Input\", \"input_types\":[\"str\"]},\"save_path\":{\"display_name\":\"Save Path\",\n        \"info\":\"Put the full path with the file name and extension\",\"value\":Path(user_cache_dir(\"langflow\"))/\"text.t1.txt\"}}\n\n    def build(self, text_input:str,save_path:str) -> str:\n        try:\n            # Create the directory if it doesn't exist\n            os.makedirs(os.path.dirname(save_path), exist_ok=True)\n\n            # Open the file in write mode and save the text\n            with open(save_path, 'w') as file:\n                file.write(text_input)\n        except Exception as e:\n            raise e\n        self.status = text_input\n        return text_input",
-                "fileTypes": [],
-                "file_path": "",
-                "password": false,
-                "name": "code",
-                "advanced": false,
-                "dynamic": true,
-                "info": ""
-              },
-              "save_path": {
-                "type": "str",
-                "required": true,
-                "placeholder": "",
-                "list": false,
-                "show": true,
-                "multiline": false,
-                "value": "/home/vazz/.cache/langflow/text.t1.txt",
-                "fileTypes": [],
-                "file_path": "",
-                "password": false,
-                "name": "save_path",
-                "display_name": "Save Path",
-                "advanced": false,
-                "dynamic": false,
-                "info": "Put the full path with the file name and extension"
-              },
-              "text_input": {
-                "type": "str",
-                "required": true,
-                "placeholder": "",
-                "list": false,
-                "show": true,
-                "multiline": false,
-                "fileTypes": [],
-                "file_path": "",
-                "password": false,
-                "name": "text_input",
-                "display_name": "Text Input",
-                "advanced": false,
-                "input_types": ["str"],
-                "dynamic": false,
-                "info": "",
-                "value": ""
-              },
-              "_type": "CustomComponent"
-            },
-            "base_classes": ["str"],
-            "display_name": "text checkpoint",
-            "documentation": "http://docs.langflow.org/components/custom",
-            "custom_fields": { "save_path": null, "text_input": null },
-            "output_types": ["str"],
-            "field_formatters": {},
-            "beta": true
-          },
-          "id": "CustomComponent-MtJjl"
-        },
-        "selected": false,
-        "dragging": false,
-        "positionAbsolute": { "x": 534.3712097224906, "y": -135.01908566635723 }
-      },
-      {
-        "width": 384,
-        "height": 453,
-        "id": "CustomComponent-7NQoq",
-        "type": "genericNode",
-        "position": { "x": 27.487979888011637, "y": -414.43998171034826 },
-        "data": {
-          "type": "CustomComponent",
-          "node": {
-            "template": {
-              "audio": {
-                "type": "file",
-                "required": true,
-                "placeholder": "",
-                "list": false,
-                "show": true,
-                "multiline": false,
-                "fileTypes": [],
-                "file_path": "/home/vazz/.cache/langflow/1b0814b7-2964-4e09-9b4b-f7413c4fb50b/b56b043d8940daecbdec03b97ad4346488c58d7cc62016560dd333aa7a6a12ce.m4a",
-                "password": false,
-                "name": "audio",
-                "display_name": "audio",
-                "advanced": false,
-                "dynamic": false,
-                "info": "",
-                "value": "Audio Recording 2023-12-13 at 16.35.22.m4a"
-              },
-              "OpenAIKey": {
-                "type": "str",
-                "required": true,
-                "placeholder": "",
-                "list": false,
-                "show": true,
-                "multiline": false,
-                "fileTypes": [],
-                "file_path": "",
-                "password": true,
-                "name": "OpenAIKey",
-                "display_name": "OpenAIKey",
-                "advanced": false,
-                "dynamic": false,
-                "info": "",
-                "value": ""
-              },
-              "code": {
-                "type": "code",
-                "required": true,
-                "placeholder": "",
-                "list": false,
-                "show": true,
-                "multiline": true,
-                "value": "from langflow import CustomComponent\nfrom typing import Optional, List, Dict, Union\nfrom langflow.field_typing import (\n    AgentExecutor,\n    BaseChatMemory,\n    BaseLanguageModel,\n    BaseLLM,\n    BaseLoader,\n    BaseMemory,\n    BaseOutputParser,\n    BasePromptTemplate,\n    BaseRetriever,\n    Callable,\n    Chain,\n    ChatPromptTemplate,\n    Data,\n    Document,\n    Embeddings,\n    NestedDict,\n    Object,\n    PromptTemplate,\n    TextSplitter,\n    Tool,\n    VectorStore,\n)\n\nfrom openai import OpenAI\nimport os\nimport ffmpeg\n\nclass Component(CustomComponent):\n    display_name: str = \"Whisper Transcriber\"\n    description: str = \"Converts audio to text using OpenAI's Whisper.\"\n\n    def build_config(self):\n        return {\"audio\": {\"field_type\": \"file\", \"suffixes\": [\".mp3\", \".mp4\", \".m4a\"]}, \"OpenAIKey\": {\"field_type\": \"str\", \"password\": True}}\n\n    def calculate_segment_duration(self, audio_path, target_chunk_size_mb=24):\n        # Calculate the target chunk size in bytes\n        target_chunk_size_bytes = target_chunk_size_mb * 1024 * 1024\n\n        # Use ffprobe to get the audio file information\n        ffprobe_output = ffmpeg.probe(audio_path)\n        print(ffprobe_output)\n        # Convert duration to float\n        duration = float(ffprobe_output[\"format\"][\"duration\"])\n\n        # Calculate the approximate bitrate\n        bitrate = os.path.getsize(audio_path) / duration\n\n        # Calculate the segment duration to achieve the target chunk size\n        segment_duration = target_chunk_size_bytes / bitrate\n\n        return segment_duration\n\n    def split_audio_into_chunks(self, audio_path, target_chunk_size_mb=24):\n        # Calculate the segment duration\n        segment_duration = self.calculate_segment_duration(audio_path, target_chunk_size_mb)\n\n        # Create a directory to store the chunks\n        output_directory = f\"{os.path.splitext(audio_path)[0]}_chunks\"\n        os.makedirs(output_directory, exist_ok=True)\n\n        # Use ffmpeg-python to split the audio file into chunks\n        (\n            ffmpeg.input(audio_path)\n            .output(f\"{output_directory}/%03d{os.path.splitext(audio_path)[1]}\", codec=\"copy\", f=\"segment\", segment_time=segment_duration)\n            .run()\n        )\n\n        # Get the list of generated chunk files\n        chunks = [os.path.join(output_directory, file) for file in os.listdir(output_directory)]\n\n        return chunks\n\n    def build(self, audio: str, OpenAIKey: str) -> str:\n        # Split audio into chunks\n        audio_chunks = self.split_audio_into_chunks(audio)\n\n        client = OpenAI(api_key=OpenAIKey)\n        transcripts = []\n\n        try:\n            for chunk in audio_chunks:\n                with open(chunk, \"rb\") as chunk_file:\n                    transcript = client.audio.transcriptions.create(\n                        model=\"whisper-1\",\n                        file=chunk_file,\n                        response_format=\"text\"\n                    )\n                    transcripts.append(transcript)\n        finally:\n            # Clean up temporary chunk files\n            for chunk in audio_chunks:\n                os.remove(chunk)\n\n        # Concatenate transcripts into the final response\n        final_response = \"\\n\".join(transcripts)\n        self.status = final_response\n        return final_response\n",
-                "fileTypes": [],
-                "file_path": "",
-                "password": false,
-                "name": "code",
-                "advanced": false,
-                "dynamic": true,
-                "info": ""
-              },
-              "_type": "CustomComponent"
-            },
-            "description": "Converts audio to text using OpenAI's Whisper.",
-            "base_classes": ["str"],
-            "display_name": "Whisper Transcriber",
-            "documentation": "",
-            "custom_fields": { "OpenAIKey": null, "audio": null },
-            "output_types": ["str"],
-            "field_formatters": {},
-            "beta": true
-          },
-          "id": "CustomComponent-7NQoq"
-        },
-        "selected": true,
-        "positionAbsolute": {
-          "x": 27.487979888011637,
-          "y": -414.43998171034826
-        },
-        "dragging": false
-      }
-    ],
-    "edges": [
-      {
-        "source": "CustomComponent-7NQoq",
-        "sourceHandle": "{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-7NQoqœ}",
-        "target": "CustomComponent-MtJjl",
-        "targetHandle": "{œfieldNameœ:œtext_inputœ,œidœ:œCustomComponent-MtJjlœ,œinputTypesœ:[œstrœ],œtypeœ:œstrœ}",
-        "data": {
-          "targetHandle": {
-            "fieldName": "text_input",
-            "id": "CustomComponent-MtJjl",
-            "inputTypes": ["str"],
-            "type": "str"
-          },
-          "sourceHandle": {
-            "baseClasses": ["str"],
-            "dataType": "CustomComponent",
-            "id": "CustomComponent-7NQoq"
-          }
-        },
-        "style": { "stroke": "#555" },
-        "className": "stroke-gray-900  stroke-connection",
-        "animated": false,
-        "id": "reactflow__edge-CustomComponent-7NQoq{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-7NQoqœ}-CustomComponent-MtJjl{œfieldNameœ:œtext_inputœ,œidœ:œCustomComponent-MtJjlœ,œinputTypesœ:[œstrœ],œtypeœ:œstrœ}"
-      }
-    ],
-    "viewport": { "x": 119.37759169012509, "y": 351.3082742479685, "zoom": 1 }
-  },
-  "is_component": false,
-  "updated_at": "2023-12-13T23:51:56.874099",
-  "folder": null,
-  "id": "1b0814b7-2964-4e09-9b4b-f7413c4fb50b",
-  "user_id": "8b5cf798-f1b8-4108-88fd-d7274d08d471"
-}
diff --git a/src/frontend/tests/onlyFront/auto_login.spec.ts b/src/frontend/tests/onlyFront/auto_login.spec.ts
deleted file mode 100644
index cdceca5e53b..00000000000
--- a/src/frontend/tests/onlyFront/auto_login.spec.ts
+++ /dev/null
@@ -1,27 +0,0 @@
-import { test } from "@playwright/test";
-
-test.describe("Auto_login tests", () => {
-  test("auto_login sign in", async ({ page }) => {
-    await page.routeFromHAR("harFiles/langflow.har", {
-      url: "**/api/v1/**",
-      update: false,
-    });
-    await page.goto("http:localhost:3000/");
-    await page.locator('//*[@id="new-project-btn"]').click();
-  });
-
-  test("auto_login block_admin", async ({ page }) => {
-    await page.routeFromHAR("harFiles/langflow.har", {
-      url: "**/api/v1/**",
-      update: false,
-    });
-    await page.goto("http:localhost:3000/");
-    await page.locator('//*[@id="new-project-btn"]').click();
-    await page.goto("http:localhost:3000/login");
-    await page.locator('//*[@id="new-project-btn"]').click();
-    await page.goto("http:localhost:3000/admin");
-    await page.locator('//*[@id="new-project-btn"]').click();
-    await page.goto("http:localhost:3000/admin/login");
-    await page.locator('//*[@id="new-project-btn"]').click();
-  });
-});
diff --git a/src/frontend/tests/onlyFront/dragAndDrop.spec.ts b/src/frontend/tests/onlyFront/dragAndDrop.spec.ts
deleted file mode 100644
index 09ed9b6692b..00000000000
--- a/src/frontend/tests/onlyFront/dragAndDrop.spec.ts
+++ /dev/null
@@ -1,56 +0,0 @@
-import { expect, test } from "@playwright/test";
-import { readFileSync } from "fs";
-
-test.describe("drag and drop test", () => {
-  /// <reference lib="dom"/>
-  test("drop collection", async ({ page }) => {
-    await page.routeFromHAR("harFiles/langflow.har", {
-      url: "**/api/v1/**",
-      update: false,
-    });
-    await page.route("**/api/v1/flows/", async (route) => {
-      const json = {
-        id: "e9ac1bdc-429b-475d-ac03-d26f9a2a3210",
-      };
-      await route.fulfill({ json, status: 201 });
-    });
-    await page.goto("http:localhost:3000/");
-    await page.locator("span").filter({ hasText: "My Collection" }).isVisible();
-    // Read your file into a buffer.
-    const jsonContent = readFileSync(
-      "tests/onlyFront/assets/collection.json",
-      "utf-8"
-    );
-
-    // Create the DataTransfer and File
-    const dataTransfer = await page.evaluateHandle((data) => {
-      const dt = new DataTransfer();
-      // Convert the buffer to a hex array
-      const file = new File([data], "flowtest.json", {
-        type: "application/json",
-      });
-      dt.items.add(file);
-      return dt;
-    }, jsonContent);
-
-    // Now dispatch
-    await page.dispatchEvent(
-      '//*[@id="root"]/div/div[1]/div[2]/div[3]/div/div',
-      "drop",
-      {
-        dataTransfer,
-      }
-    );
-
-    await page
-      .getByTestId("edit-flow-button-e9ac1bdc-429b-475d-ac03-d26f9a2a3210-0")
-      .click();
-    await page.waitForTimeout(2000);
-
-    const genericNoda = page.getByTestId("div-generic-node");
-    const elementCount = await genericNoda.count();
-    if (elementCount > 0) {
-      expect(true).toBeTruthy();
-    }
-  });
-});
diff --git a/src/frontend/tests/onlyFront/dropdownComponent.spec.ts b/src/frontend/tests/onlyFront/dropdownComponent.spec.ts
deleted file mode 100644
index ea397e68d40..00000000000
--- a/src/frontend/tests/onlyFront/dropdownComponent.spec.ts
+++ /dev/null
@@ -1,107 +0,0 @@
-import { expect, test } from "@playwright/test";
-
-test("dropDownComponent", async ({ page }) => {
-  await page.routeFromHAR("harFiles/backend_12112023.har", {
-    url: "**/api/v1/**",
-    update: false,
-  });
-  await page.route("**/api/v1/flows/", async (route) => {
-    const json = {
-      id: "e9ac1bdc-429b-475d-ac03-d26f9a2a3210",
-    };
-    await route.fulfill({ json, status: 201 });
-  });
-
-  await page.goto("http://localhost:3000/");
-  await page.waitForTimeout(2000);
-
-  await page.locator('//*[@id="new-project-btn"]').click();
-  await page.waitForTimeout(2000);
-
-  await page.getByPlaceholder("Search").click();
-  await page.getByPlaceholder("Search").fill("amazon");
-
-  await page.waitForTimeout(2000);
-
-  await page
-    .getByTestId("llmsAmazon Bedrock")
-    .first()
-    .dragTo(page.locator('//*[@id="react-flow-id"]'));
-  await page.mouse.up();
-  await page.mouse.down();
-
-  await page.getByTestId("dropdown-2-display").click();
-  await page.getByTestId("ai21.j2-grande-instruct-0-option").click();
-
-  let value = await page.getByTestId("dropdown-2-display").innerText();
-  if (value !== "ai21.j2-grande-instruct") {
-    expect(false).toBeTruthy();
-  }
-
-  await page.getByTestId("dropdown-2-display").click();
-  await page.getByTestId("ai21.j2-jumbo-instruct-1-option").click();
-
-  value = await page.getByTestId("dropdown-2-display").innerText();
-  if (value !== "ai21.j2-jumbo-instruct") {
-    expect(false).toBeTruthy();
-  }
-
-  await page.getByTestId("more-options-modal").click();
-  await page.getByTestId("edit-button-modal").click();
-
-  value = await page.getByTestId("dropdown-edit-1-display").innerText();
-  if (value !== "ai21.j2-jumbo-instruct") {
-    expect(false).toBeTruthy();
-  }
-
-  // showcode
-  await page.locator('//*[@id="showcode"]').click();
-  expect(await page.locator('//*[@id="showcode"]').isChecked()).toBeFalsy();
-
-  // showmodel_id
-  await page.locator('//*[@id="showmodel_id"]').click();
-  expect(await page.locator('//*[@id="showmodel_id"]').isChecked()).toBeFalsy();
-
-  // showcode
-  await page.locator('//*[@id="showcode"]').click();
-  expect(await page.locator('//*[@id="showcode"]').isChecked()).toBeTruthy();
-
-  // showmodel_id
-  await page.locator('//*[@id="showmodel_id"]').click();
-  expect(
-    await page.locator('//*[@id="showmodel_id"]').isChecked()
-  ).toBeTruthy();
-
-  // showcode
-  await page.locator('//*[@id="showcode"]').click();
-  expect(await page.locator('//*[@id="showcode"]').isChecked()).toBeFalsy();
-
-  // showmodel_id
-  await page.locator('//*[@id="showmodel_id"]').click();
-  expect(await page.locator('//*[@id="showmodel_id"]').isChecked()).toBeFalsy();
-
-  // showcode
-  await page.locator('//*[@id="showcode"]').click();
-  expect(await page.locator('//*[@id="showcode"]').isChecked()).toBeTruthy();
-
-  // showmodel_id
-  await page.locator('//*[@id="showmodel_id"]').click();
-  expect(
-    await page.locator('//*[@id="showmodel_id"]').isChecked()
-  ).toBeTruthy();
-
-  await page.getByTestId("dropdown-edit-1-display").click();
-  await page.getByTestId("ai21.j2-ultra-v1-5-option").click();
-
-  value = await page.getByTestId("dropdown-edit-1-display").innerText();
-  if (value !== "ai21.j2-ultra-v1") {
-    expect(false).toBeTruthy();
-  }
-
-  await page.locator('//*[@id="saveChangesBtn"]').click();
-
-  value = await page.getByTestId("dropdown-2-display").innerText();
-  if (value !== "ai21.j2-ultra-v1") {
-    expect(false).toBeTruthy();
-  }
-});
diff --git a/src/frontend/tests/onlyFront/floatComponent.spec.ts b/src/frontend/tests/onlyFront/floatComponent.spec.ts
deleted file mode 100644
index e3b55cbadb9..00000000000
--- a/src/frontend/tests/onlyFront/floatComponent.spec.ts
+++ /dev/null
@@ -1,417 +0,0 @@
-import { expect, test } from "@playwright/test";
-
-test("FloatComponent", async ({ page }) => {
-  await page.routeFromHAR("harFiles/backend_12112023.har", {
-    url: "**/api/v1/**",
-    update: false,
-  });
-  await page.route("**/api/v1/flows/", async (route) => {
-    const json = {
-      id: "e9ac1bdc-429b-475d-ac03-d26f9a2a3210",
-    };
-    await route.fulfill({ json, status: 201 });
-  });
-  await page.goto("http://localhost:3000/");
-  await page.waitForTimeout(2000);
-
-  await page.locator('//*[@id="new-project-btn"]').click();
-  await page.waitForTimeout(2000);
-
-  await page.getByPlaceholder("Search").click();
-  await page.getByPlaceholder("Search").fill("llamacpp");
-
-  await page.waitForTimeout(2000);
-
-  await page
-    .locator('//*[@id="llmsLlamaCpp"]')
-    .dragTo(page.locator('//*[@id="react-flow-id"]'));
-  await page.mouse.up();
-  await page.mouse.down();
-
-  await page.locator('//*[@id="float-input"]').click();
-  await page.locator('//*[@id="float-input"]').fill("3");
-
-  let value = await page.locator('//*[@id="float-input"]').inputValue();
-
-  if (value != "1") {
-    expect(false).toBeTruthy();
-  }
-
-  await page.locator('//*[@id="float-input"]').click();
-  await page.locator('//*[@id="float-input"]').fill("-3");
-
-  value = await page.locator('//*[@id="float-input"]').inputValue();
-
-  if (value != "-1") {
-    expect(false).toBeTruthy();
-  }
-
-  await page.getByTestId("more-options-modal").click();
-  await page.getByTestId("edit-button-modal").click();
-
-  await page.locator('//*[@id="showcache"]').click();
-  expect(await page.locator('//*[@id="showcache"]').isChecked()).toBeTruthy();
-
-  // showecho
-  await page.locator('//*[@id="showecho"]').click();
-  expect(await page.locator('//*[@id="showecho"]').isChecked()).toBeTruthy();
-
-  // showf16_kv
-  await page.locator('//*[@id="showf16_kv"]').click();
-  expect(await page.locator('//*[@id="showf16_kv"]').isChecked()).toBeTruthy();
-
-  // showgrammar_path
-  await page.locator('//*[@id="showgrammar_path"]').click();
-  expect(
-    await page.locator('//*[@id="showgrammar_path"]').isChecked()
-  ).toBeTruthy();
-
-  // showlast_n_tokens_size
-  await page.locator('//*[@id="showlast_n_tokens_size"]').click();
-  expect(
-    await page.locator('//*[@id="showlast_n_tokens_size"]').isChecked()
-  ).toBeTruthy();
-
-  // showlogits_all
-  await page.locator('//*[@id="showlogits_all"]').click();
-  expect(
-    await page.locator('//*[@id="showlogits_all"]').isChecked()
-  ).toBeTruthy();
-
-  // showlogprobs
-  await page.locator('//*[@id="showlogprobs"]').click();
-  expect(
-    await page.locator('//*[@id="showlogprobs"]').isChecked()
-  ).toBeTruthy();
-
-  // showlora_base
-  await page.locator('//*[@id="showlora_base"]').click();
-  expect(
-    await page.locator('//*[@id="showlora_base"]').isChecked()
-  ).toBeTruthy();
-
-  // showlora_path
-  await page.locator('//*[@id="showlora_path"]').click();
-  expect(
-    await page.locator('//*[@id="showlora_path"]').isChecked()
-  ).toBeTruthy();
-
-  // showmax_tokens
-  await page.locator('//*[@id="showmax_tokens"]').click();
-  expect(
-    await page.locator('//*[@id="showmax_tokens"]').isChecked()
-  ).toBeTruthy();
-
-  // showmetadata
-  await page.locator('//*[@id="showmetadata"]').click();
-  expect(
-    await page.locator('//*[@id="showmetadata"]').isChecked()
-  ).toBeTruthy();
-
-  // showmodel_kwargs
-  await page.locator('//*[@id="showmodel_kwargs"]').click();
-  expect(
-    await page.locator('//*[@id="showmodel_kwargs"]').isChecked()
-  ).toBeTruthy();
-
-  // showmodel_path
-  await page.locator('//*[@id="showmodel_path"]').click();
-  expect(
-    await page.locator('//*[@id="showmodel_path"]').isChecked()
-  ).toBeFalsy();
-
-  // shown_batch
-  await page.locator('//*[@id="shown_batch"]').click();
-  expect(await page.locator('//*[@id="shown_batch"]').isChecked()).toBeTruthy();
-
-  // shown_ctx
-  await page.locator('//*[@id="shown_ctx"]').click();
-  expect(await page.locator('//*[@id="shown_ctx"]').isChecked()).toBeTruthy();
-
-  // shown_gpu_layers
-  await page.locator('//*[@id="shown_gpu_layers"]').click();
-  expect(
-    await page.locator('//*[@id="shown_gpu_layers"]').isChecked()
-  ).toBeTruthy();
-
-  // shown_parts
-  await page.locator('//*[@id="shown_parts"]').click();
-  expect(await page.locator('//*[@id="shown_parts"]').isChecked()).toBeTruthy();
-
-  // shown_threads
-  await page.locator('//*[@id="shown_threads"]').click();
-  expect(
-    await page.locator('//*[@id="shown_threads"]').isChecked()
-  ).toBeTruthy();
-
-  // showrepeat_penalty
-  await page.locator('//*[@id="showrepeat_penalty"]').click();
-  expect(
-    await page.locator('//*[@id="showrepeat_penalty"]').isChecked()
-  ).toBeTruthy();
-
-  // showrope_freq_base
-  await page.locator('//*[@id="showrope_freq_base"]').click();
-  expect(
-    await page.locator('//*[@id="showrope_freq_base"]').isChecked()
-  ).toBeTruthy();
-
-  // showrope_freq_scale
-  await page.locator('//*[@id="showrope_freq_scale"]').click();
-  expect(
-    await page.locator('//*[@id="showrope_freq_scale"]').isChecked()
-  ).toBeTruthy();
-
-  // showseed
-  await page.locator('//*[@id="showseed"]').click();
-  expect(await page.locator('//*[@id="showseed"]').isChecked()).toBeTruthy();
-
-  // showstop
-  await page.locator('//*[@id="showstop"]').click();
-  expect(await page.locator('//*[@id="showstop"]').isChecked()).toBeTruthy();
-
-  // showstreaming
-  await page.locator('//*[@id="showstreaming"]').click();
-  expect(
-    await page.locator('//*[@id="showstreaming"]').isChecked()
-  ).toBeTruthy();
-
-  // showsuffix
-  await page.locator('//*[@id="showsuffix"]').click();
-  expect(await page.locator('//*[@id="showsuffix"]').isChecked()).toBeTruthy();
-
-  // showtags
-  await page.locator('//*[@id="showtags"]').click();
-  expect(await page.locator('//*[@id="showtags"]').isChecked()).toBeTruthy();
-
-  // showtemperature
-  await page.locator('//*[@id="showtemperature"]').click();
-  expect(
-    await page.locator('//*[@id="showtemperature"]').isChecked()
-  ).toBeFalsy();
-
-  // showtop_k
-  await page.locator('//*[@id="showtop_k"]').click();
-  expect(await page.locator('//*[@id="showtop_k"]').isChecked()).toBeTruthy();
-
-  // showtop_p
-  await page.locator('//*[@id="showtop_p"]').click();
-  expect(await page.locator('//*[@id="showtop_p"]').isChecked()).toBeTruthy();
-
-  // showuse_mlock
-  await page.locator('//*[@id="showuse_mlock"]').click();
-  expect(
-    await page.locator('//*[@id="showuse_mlock"]').isChecked()
-  ).toBeTruthy();
-
-  // showuse_mmap
-  await page.locator('//*[@id="showuse_mmap"]').click();
-  expect(
-    await page.locator('//*[@id="showuse_mmap"]').isChecked()
-  ).toBeTruthy();
-
-  // showverbose
-  await page.locator('//*[@id="showverbose"]').click();
-  expect(await page.locator('//*[@id="showverbose"]').isChecked()).toBeTruthy();
-
-  // showvocab_only
-  await page.locator('//*[@id="showvocab_only"]').click();
-  expect(
-    await page.locator('//*[@id="showvocab_only"]').isChecked()
-  ).toBeTruthy();
-
-  await page.locator('//*[@id="showcache"]').click();
-  expect(await page.locator('//*[@id="showcache"]').isChecked()).toBeFalsy();
-
-  // showecho
-  await page.locator('//*[@id="showecho"]').click();
-  expect(await page.locator('//*[@id="showecho"]').isChecked()).toBeFalsy();
-
-  // showf16_kv
-  await page.locator('//*[@id="showf16_kv"]').click();
-  expect(await page.locator('//*[@id="showf16_kv"]').isChecked()).toBeFalsy();
-
-  // showgrammar_path
-  await page.locator('//*[@id="showgrammar_path"]').click();
-  expect(
-    await page.locator('//*[@id="showgrammar_path"]').isChecked()
-  ).toBeFalsy();
-
-  // showlast_n_tokens_size
-  await page.locator('//*[@id="showlast_n_tokens_size"]').click();
-  expect(
-    await page.locator('//*[@id="showlast_n_tokens_size"]').isChecked()
-  ).toBeFalsy();
-
-  // showlogits_all
-  await page.locator('//*[@id="showlogits_all"]').click();
-  expect(
-    await page.locator('//*[@id="showlogits_all"]').isChecked()
-  ).toBeFalsy();
-
-  // showlogprobs
-  await page.locator('//*[@id="showlogprobs"]').click();
-  expect(await page.locator('//*[@id="showlogprobs"]').isChecked()).toBeFalsy();
-
-  // showlora_base
-  await page.locator('//*[@id="showlora_base"]').click();
-  expect(
-    await page.locator('//*[@id="showlora_base"]').isChecked()
-  ).toBeFalsy();
-
-  // showlora_path
-  await page.locator('//*[@id="showlora_path"]').click();
-  expect(
-    await page.locator('//*[@id="showlora_path"]').isChecked()
-  ).toBeFalsy();
-
-  // showmax_tokens
-  await page.locator('//*[@id="showmax_tokens"]').click();
-  expect(
-    await page.locator('//*[@id="showmax_tokens"]').isChecked()
-  ).toBeFalsy();
-
-  // showmetadata
-  await page.locator('//*[@id="showmetadata"]').click();
-  expect(await page.locator('//*[@id="showmetadata"]').isChecked()).toBeFalsy();
-
-  // showmodel_kwargs
-  await page.locator('//*[@id="showmodel_kwargs"]').click();
-  expect(
-    await page.locator('//*[@id="showmodel_kwargs"]').isChecked()
-  ).toBeFalsy();
-
-  // showmodel_path
-  await page.locator('//*[@id="showmodel_path"]').click();
-  expect(
-    await page.locator('//*[@id="showmodel_path"]').isChecked()
-  ).toBeTruthy();
-
-  // shown_batch
-  await page.locator('//*[@id="shown_batch"]').click();
-  expect(await page.locator('//*[@id="shown_batch"]').isChecked()).toBeFalsy();
-
-  // shown_ctx
-  await page.locator('//*[@id="shown_ctx"]').click();
-  expect(await page.locator('//*[@id="shown_ctx"]').isChecked()).toBeFalsy();
-
-  // shown_gpu_layers
-  await page.locator('//*[@id="shown_gpu_layers"]').click();
-  expect(
-    await page.locator('//*[@id="shown_gpu_layers"]').isChecked()
-  ).toBeFalsy();
-
-  // shown_parts
-  await page.locator('//*[@id="shown_parts"]').click();
-  expect(await page.locator('//*[@id="shown_parts"]').isChecked()).toBeFalsy();
-
-  // shown_threads
-  await page.locator('//*[@id="shown_threads"]').click();
-  expect(
-    await page.locator('//*[@id="shown_threads"]').isChecked()
-  ).toBeFalsy();
-
-  // showrepeat_penalty
-  await page.locator('//*[@id="showrepeat_penalty"]').click();
-  expect(
-    await page.locator('//*[@id="showrepeat_penalty"]').isChecked()
-  ).toBeFalsy();
-
-  // showrope_freq_base
-  await page.locator('//*[@id="showrope_freq_base"]').click();
-  expect(
-    await page.locator('//*[@id="showrope_freq_base"]').isChecked()
-  ).toBeFalsy();
-
-  // showrope_freq_scale
-  await page.locator('//*[@id="showrope_freq_scale"]').click();
-  expect(
-    await page.locator('//*[@id="showrope_freq_scale"]').isChecked()
-  ).toBeFalsy();
-
-  // showseed
-  await page.locator('//*[@id="showseed"]').click();
-  expect(await page.locator('//*[@id="showseed"]').isChecked()).toBeFalsy();
-
-  // showstop
-  await page.locator('//*[@id="showstop"]').click();
-  expect(await page.locator('//*[@id="showstop"]').isChecked()).toBeFalsy();
-
-  // showstreaming
-  await page.locator('//*[@id="showstreaming"]').click();
-  expect(
-    await page.locator('//*[@id="showstreaming"]').isChecked()
-  ).toBeFalsy();
-
-  // showsuffix
-  await page.locator('//*[@id="showsuffix"]').click();
-  expect(await page.locator('//*[@id="showsuffix"]').isChecked()).toBeFalsy();
-
-  // showtags
-  await page.locator('//*[@id="showtags"]').click();
-  expect(await page.locator('//*[@id="showtags"]').isChecked()).toBeFalsy();
-
-  // showtop_k
-  await page.locator('//*[@id="showtop_k"]').click();
-  expect(await page.locator('//*[@id="showtop_k"]').isChecked()).toBeFalsy();
-
-  // showtop_p
-  await page.locator('//*[@id="showtop_p"]').click();
-  expect(await page.locator('//*[@id="showtop_p"]').isChecked()).toBeFalsy();
-
-  // showuse_mlock
-  await page.locator('//*[@id="showuse_mlock"]').click();
-  expect(
-    await page.locator('//*[@id="showuse_mlock"]').isChecked()
-  ).toBeFalsy();
-
-  // showuse_mmap
-  await page.locator('//*[@id="showuse_mmap"]').click();
-  expect(await page.locator('//*[@id="showuse_mmap"]').isChecked()).toBeFalsy();
-
-  // showverbose
-  await page.locator('//*[@id="showverbose"]').click();
-  expect(await page.locator('//*[@id="showverbose"]').isChecked()).toBeFalsy();
-
-  // showvocab_only
-  await page.locator('//*[@id="showvocab_only"]').click();
-  expect(
-    await page.locator('//*[@id="showvocab_only"]').isChecked()
-  ).toBeFalsy();
-
-  await page.locator('//*[@id="saveChangesBtn"]').click();
-
-  const plusButtonLocator = page.locator('//*[@id="float-input"]');
-  const elementCount = await plusButtonLocator.count();
-  if (elementCount === 0) {
-    expect(true).toBeTruthy();
-
-    await page.getByTestId("more-options-modal").click();
-    await page.getByTestId("edit-button-modal").click();
-
-    // showtemperature
-    await page.locator('//*[@id="showtemperature"]').click();
-    expect(
-      await page.locator('//*[@id="showtemperature"]').isChecked()
-    ).toBeTruthy();
-
-    await page.locator('//*[@id="saveChangesBtn"]').click();
-    await page.locator('//*[@id="float-input"]').click();
-    await page.locator('//*[@id="float-input"]').fill("3");
-
-    let value = await page.locator('//*[@id="float-input"]').inputValue();
-
-    if (value != "1") {
-      expect(false).toBeTruthy();
-    }
-
-    await page.locator('//*[@id="float-input"]').click();
-    await page.locator('//*[@id="float-input"]').fill("-3");
-
-    value = await page.locator('//*[@id="float-input"]').inputValue();
-
-    if (value != "-1") {
-      expect(false).toBeTruthy();
-    }
-  }
-});
diff --git a/src/frontend/tests/onlyFront/flowPage.spec.ts b/src/frontend/tests/onlyFront/flowPage.spec.ts
deleted file mode 100644
index 5c5d1a41287..00000000000
--- a/src/frontend/tests/onlyFront/flowPage.spec.ts
+++ /dev/null
@@ -1,40 +0,0 @@
-import { Page, test } from "@playwright/test";
-
-test.describe("Flow Page tests", () => {
-  async function goToFlowPage(page: Page) {
-    await page.goto("http://localhost:3000/");
-    await page.getByRole("button", { name: "New Project" }).click();
-  }
-
-  test("save", async ({ page }) => {
-    await page.routeFromHAR("harFiles/backend_12112023.har", {
-      url: "**/api/v1/**",
-      update: false,
-    });
-    await page.route("**/api/v1/flows/", async (route) => {
-      const json = {
-        id: "e9ac1bdc-429b-475d-ac03-d26f9a2a3210",
-      };
-      await route.fulfill({ json, status: 201 });
-    });
-    await page.goto("http://localhost:3000/");
-    await page.waitForTimeout(2000);
-
-    await page.locator('//*[@id="new-project-btn"]').click();
-    await page.waitForTimeout(2000);
-
-    await page.getByPlaceholder("Search").click();
-    await page.getByPlaceholder("Search").fill("custom");
-
-    await page.waitForTimeout(2000);
-
-    await page
-      .locator('//*[@id="custom_componentsCustomComponent"]')
-      .dragTo(page.locator('//*[@id="react-flow-id"]'));
-    await page.mouse.up();
-    await page.mouse.down();
-
-    // await page.getByTestId("icon-ExternalLink").click();
-    // await page.locator('//*[@id="checkAndSaveBtn"]').click();
-  });
-});
diff --git a/src/frontend/tests/onlyFront/group.spec.ts b/src/frontend/tests/onlyFront/group.spec.ts
deleted file mode 100644
index dcd55727989..00000000000
--- a/src/frontend/tests/onlyFront/group.spec.ts
+++ /dev/null
@@ -1,84 +0,0 @@
-import { expect, test } from "@playwright/test";
-import { readFileSync } from "fs";
-
-test.describe("group node test", () => {
-  /// <reference lib="dom"/>
-  test("group and ungroup updating values", async ({ page }) => {
-    await page.routeFromHAR("harFiles/langflow.har", {
-      url: "**/api/v1/**",
-      update: false,
-    });
-    await page.route("**/api/v1/flows/", async (route) => {
-      const json = {
-        id: "e9ac1bdc-429b-475d-ac03-d26f9a2a3210",
-      };
-      await route.fulfill({ json, status: 201 });
-    });
-    await page.goto("http:localhost:3000/");
-    await page.locator("span").filter({ hasText: "My Collection" }).isVisible();
-    // Read your file into a buffer.
-    const jsonContent = readFileSync(
-      "tests/onlyFront/assets/collection.json",
-      "utf-8"
-    );
-
-    // Create the DataTransfer and File
-    const dataTransfer = await page.evaluateHandle((data) => {
-      const dt = new DataTransfer();
-      // Convert the buffer to a hex array
-      const file = new File([data], "flowtest.json", {
-        type: "application/json",
-      });
-      dt.items.add(file);
-      return dt;
-    }, jsonContent);
-
-    page.waitForTimeout(2000);
-
-    await page.dispatchEvent(
-      '//*[@id="root"]/div/div[1]/div[2]/div[3]/div/div',
-      "drop",
-      {
-        dataTransfer,
-      }
-    );
-
-    await page
-      .getByTestId("edit-flow-button-e9ac1bdc-429b-475d-ac03-d26f9a2a3210-0")
-      .click();
-    await page.waitForTimeout(2000);
-
-    const genericNoda = page.getByTestId("div-generic-node");
-    const elementCount = await genericNoda.count();
-    if (elementCount > 0) {
-      expect(true).toBeTruthy();
-    }
-
-    await page.getByTestId("title-PythonFunctionTool").click({
-      modifiers: ["Control"],
-    });
-    await page.getByTestId("title-ChatOpenAI").click({
-      modifiers: ["Control"],
-    });
-
-    await page.getByTestId("title-AgentInitializer").click({
-      modifiers: ["Control"],
-    });
-
-    await page.getByRole("button", { name: "Group" }).click();
-
-    const textArea = page.getByTestId("div-textarea-description");
-    const elementCountText = await textArea.count();
-    if (elementCountText > 0) {
-      expect(true).toBeTruthy();
-    }
-
-    const groupNode = page.getByTestId("title-Group");
-    const elementGroup = await groupNode.count();
-    if (elementGroup > 0) {
-      expect(true).toBeTruthy();
-    }
-
-    // Now dispatch
-  });
-});
diff --git a/src/frontend/tests/onlyFront/inputComponent.spec.ts b/src/frontend/tests/onlyFront/inputComponent.spec.ts
deleted file mode 100644
index 47f589059fc..00000000000
--- a/src/frontend/tests/onlyFront/inputComponent.spec.ts
+++ /dev/null
@@ -1,168 +0,0 @@
-import { expect, test } from "@playwright/test";
-
-test("InputComponent", async ({ page }) => {
-  await page.routeFromHAR("harFiles/langflow.har", {
-    url: "**/api/v1/**",
-    update: false,
-  });
-  await page.route("**/api/v1/flows/", async (route) => {
-    const json = {
-      id: "e9ac1bdc-429b-475d-ac03-d26f9a2a3210",
-    };
-    await route.fulfill({ json, status: 201 });
-  });
-  await page.goto("http://localhost:3000/");
-  await page.waitForTimeout(2000);
-
-  await page.locator('//*[@id="new-project-btn"]').click();
-  await page.waitForTimeout(2000);
-
-  await page.getByPlaceholder("Search").click();
-  await page.getByPlaceholder("Search").fill("Chroma");
-
-  await page.waitForTimeout(2000);
-
-  await page
-    .getByTestId("vectorstoresChroma")
-    .dragTo(page.locator('//*[@id="react-flow-id"]'));
-  await page.mouse.up();
-  await page.mouse.down();
-
-  await page.locator("#input-8").click();
-  await page
-    .locator("#input-8")
-    .fill("collection_name_test_123123123!@#$&*(&%$@");
-
-  let value = await page.locator("#input-8").inputValue();
-
-  if (value != "collection_name_test_123123123!@#$&*(&%$@") {
-    expect(false).toBeTruthy();
-  }
-
-  await page.getByTestId("div-generic-node").click();
-
-  await page.getByTestId("more-options-modal").click();
-  await page.getByTestId("edit-button-modal").click();
-
-  await page.locator('//*[@id="showchroma_server_cors_allow_origins"]').click();
-  expect(
-    await page
-      .locator('//*[@id="showchroma_server_cors_allow_origins"]')
-      .isChecked()
-  ).toBeTruthy();
-
-  await page.locator('//*[@id="showchroma_server_grpc_port"]').click();
-  expect(
-    await page.locator('//*[@id="showchroma_server_grpc_port"]').isChecked()
-  ).toBeTruthy();
-
-  await page.locator('//*[@id="showchroma_server_host"]').click();
-  expect(
-    await page.locator('//*[@id="showchroma_server_host"]').isChecked()
-  ).toBeTruthy();
-
-  await page.locator('//*[@id="showchroma_server_http_port"]').click();
-  expect(
-    await page.locator('//*[@id="showchroma_server_http_port"]').isChecked()
-  ).toBeTruthy();
-
-  await page.locator('//*[@id="showchroma_server_ssl_enabled"]').click();
-  expect(
-    await page.locator('//*[@id="showchroma_server_ssl_enabled"]').isChecked()
-  ).toBeTruthy();
-
-  await page.locator('//*[@id="showcollection_name"]').click();
-  expect(
-    await page.locator('//*[@id="showcollection_name"]').isChecked()
-  ).toBeFalsy();
-
-  await page.locator('//*[@id="showpersist"]').click();
-  expect(await page.locator('//*[@id="showpersist"]').isChecked()).toBeFalsy();
-
-  await page.locator('//*[@id="showpersist_directory"]').click();
-  expect(
-    await page.locator('//*[@id="showpersist_directory"]').isChecked()
-  ).toBeFalsy();
-
-  await page.locator('//*[@id="showsearch_kwargs"]').click();
-  expect(
-    await page.locator('//*[@id="showsearch_kwargs"]').isChecked()
-  ).toBeTruthy();
-
-  await page.locator('//*[@id="showchroma_server_cors_allow_origins"]').click();
-  expect(
-    await page
-      .locator('//*[@id="showchroma_server_cors_allow_origins"]')
-      .isChecked()
-  ).toBeFalsy();
-
-  await page.locator('//*[@id="showchroma_server_grpc_port"]').click();
-  expect(
-    await page.locator('//*[@id="showchroma_server_grpc_port"]').isChecked()
-  ).toBeFalsy();
-
-  await page.locator('//*[@id="showchroma_server_host"]').click();
-  expect(
-    await page.locator('//*[@id="showchroma_server_host"]').isChecked()
-  ).toBeFalsy();
-
-  await page.locator('//*[@id="showchroma_server_http_port"]').click();
-  expect(
-    await page.locator('//*[@id="showchroma_server_http_port"]').isChecked()
-  ).toBeFalsy();
-
-  await page.locator('//*[@id="showchroma_server_ssl_enabled"]').click();
-  expect(
-    await page.locator('//*[@id="showchroma_server_ssl_enabled"]').isChecked()
-  ).toBeFalsy();
-
-  await page.locator('//*[@id="showpersist"]').click();
-  expect(await page.locator('//*[@id="showpersist"]').isChecked()).toBeTruthy();
-
-  await page.locator('//*[@id="showpersist_directory"]').click();
-  expect(
-    await page.locator('//*[@id="showpersist_directory"]').isChecked()
-  ).toBeTruthy();
-
-  await page.locator('//*[@id="showsearch_kwargs"]').click();
-  expect(
-    await page.locator('//*[@id="showsearch_kwargs"]').isChecked()
-  ).toBeFalsy();
-
-  let valueEditNode = await page.locator('//*[@id="input-5"]').inputValue();
-
-  if (valueEditNode != "collection_name_test_123123123!@#$&*(&%$@") {
-    expect(false).toBeTruthy();
-  }
-
-  await page.locator('//*[@id="input-5"]').click();
-  await page
-    .locator('//*[@id="input-5"]')
-    .fill("NEW_collection_name_test_123123123!@#$&*(&%$@");
-
-  await page.locator('//*[@id="saveChangesBtn"]').click();
-
-  const plusButtonLocator = page.locator("#input-8");
-  const elementCount = await plusButtonLocator.count();
-  if (elementCount === 0) {
-    expect(true).toBeTruthy();
-
-    await page.getByTestId("div-generic-node").click();
-
-    await page.getByTestId("more-options-modal").click();
-    await page.getByTestId("edit-button-modal").click();
-
-    await page.locator('//*[@id="showcollection_name"]').click();
-    expect(
-      await page.locator('//*[@id="showcollection_name"]').isChecked()
-    ).toBeTruthy();
-
-    await page.locator('//*[@id="saveChangesBtn"]').click();
-
-    let value = await page.locator("#input-8").inputValue();
-
-    if (value != "NEW_collection_name_test_123123123!@#$&*(&%$@") {
-      expect(false).toBeTruthy();
-    }
-  }
-});
diff --git a/src/frontend/tests/onlyFront/intComponent.spec.ts b/src/frontend/tests/onlyFront/intComponent.spec.ts
deleted file mode 100644
index be94d82e8f1..00000000000
--- a/src/frontend/tests/onlyFront/intComponent.spec.ts
+++ /dev/null
@@ -1,124 +0,0 @@
-import { expect, test } from "@playwright/test";
-
-test("IntComponent", async ({ page }) => {
-  await page.routeFromHAR("harFiles/backend_12112023.har", {
-    url: "**/api/v1/**",
-    update: false,
-  });
-  await page.route("**/api/v1/flows/", async (route) => {
-    const json = {
-      id: "e9ac1bdc-429b-475d-ac03-d26f9a2a3210",
-    };
-    await route.fulfill({ json, status: 201 });
-  });
-
-  await page.goto("http://localhost:3000/");
-  await page.waitForTimeout(2000);
-
-  await page.locator('//*[@id="new-project-btn"]').click();
-  await page.waitForTimeout(2000);
-
-  await page.getByPlaceholder("Search").click();
-  await page.getByPlaceholder("Search").fill("getrequest");
-
-  await page.waitForTimeout(2000);
-
-  await page
-    .getByTestId("utilitiesGET Request")
-    .first()
-    .dragTo(page.locator('//*[@id="react-flow-id"]'));
-  await page.mouse.up();
-  await page.mouse.down();
-
-  await page.locator('//*[@id="int-input-2"]').click();
-  await page
-    .locator('//*[@id="int-input-2"]')
-    .fill("123456789123456789123456789");
-
-  let value = await page.locator('//*[@id="int-input-2"]').inputValue();
-
-  if (value != "123456789123456789123456789") {
-    expect(false).toBeTruthy();
-  }
-
-  await page.locator('//*[@id="int-input-2"]').click();
-  await page.locator('//*[@id="int-input-2"]').fill("0");
-
-  value = await page.locator('//*[@id="int-input-2"]').inputValue();
-
-  if (value != "0") {
-    expect(false).toBeTruthy();
-  }
-
-  await page.getByTestId("more-options-modal").click();
-  await page.getByTestId("edit-button-modal").click();
-
-  value = await page.locator('//*[@id="edit-int-input-2"]').inputValue();
-
-  if (value != "0") {
-    expect(false).toBeTruthy();
-  }
-
-  await page.locator('//*[@id="edit-int-input-2"]').click();
-  await page
-    .locator('//*[@id="edit-int-input-2"]')
-    .fill("123456789123456789123456789");
-
-  await page.locator('//*[@id="showheaders"]').click();
-  expect(await page.locator('//*[@id="showheaders"]').isChecked()).toBeFalsy();
-
-  await page.locator('//*[@id="showtimeout"]').click();
-  expect(await page.locator('//*[@id="showtimeout"]').isChecked()).toBeFalsy();
-
-  await page.locator('//*[@id="showurl"]').click();
-  expect(await page.locator('//*[@id="showurl"]').isChecked()).toBeFalsy();
-
-  await page.locator('//*[@id="showheaders"]').click();
-  expect(await page.locator('//*[@id="showheaders"]').isChecked()).toBeTruthy();
-
-  await page.locator('//*[@id="showurl"]').click();
-  expect(await page.locator('//*[@id="showurl"]').isChecked()).toBeTruthy();
-
-  await page.locator('//*[@id="saveChangesBtn"]').click();
-
-  const plusButtonLocator = page.locator('//*[@id="int-input-2"]');
-  const elementCount = await plusButtonLocator.count();
-  if (elementCount === 0) {
-    expect(true).toBeTruthy();
-
-    await page.getByTestId("more-options-modal").click();
-    await page.getByTestId("edit-button-modal").click();
-
-    await page.locator('//*[@id="showtimeout"]').click();
-    expect(
-      await page.locator('//*[@id="showtimeout"]').isChecked()
-    ).toBeTruthy();
-
-    const valueEditNode = await page
-      .locator('//*[@id="edit-int-input-2"]')
-      .inputValue();
-
-    if (valueEditNode != "123456789123456789123456789") {
-      expect(false).toBeTruthy();
-    }
-
-    await page.locator('//*[@id="saveChangesBtn"]').click();
-    await page.locator('//*[@id="int-input-2"]').click();
-    await page.locator('//*[@id="int-input-2"]').fill("3");
-
-    let value = await page.locator('//*[@id="int-input-2"]').inputValue();
-
-    if (value != "3") {
-      expect(false).toBeTruthy();
-    }
-
-    await page.locator('//*[@id="int-input-2"]').click();
-    await page.locator('//*[@id="int-input-2"]').fill("-3");
-
-    value = await page.locator('//*[@id="int-input-2"]').inputValue();
-
-    if (value != "0") {
-      expect(false).toBeTruthy();
-    }
-  }
-});
diff --git a/src/frontend/tests/onlyFront/keyPairListComponent.spec.ts b/src/frontend/tests/onlyFront/keyPairListComponent.spec.ts
deleted file mode 100644
index 96530698ee1..00000000000
--- a/src/frontend/tests/onlyFront/keyPairListComponent.spec.ts
+++ /dev/null
@@ -1,174 +0,0 @@
-import { expect, test } from "@playwright/test";
-
-test("KeypairListComponent", async ({ page }) => {
-  await page.routeFromHAR("harFiles/backend_12112023.har", {
-    url: "**/api/v1/**",
-    update: false,
-  });
-  await page.route("**/api/v1/flows/", async (route) => {
-    const json = {
-      id: "e9ac1bdc-429b-475d-ac03-d26f9a2a3210",
-    };
-    await route.fulfill({ json, status: 201 });
-  });
-  await page.goto("http://localhost:3000/");
-  await page.waitForTimeout(2000);
-
-  await page.locator('//*[@id="new-project-btn"]').click();
-  await page.waitForTimeout(2000);
-
-  await page.getByPlaceholder("Search").click();
-  await page.getByPlaceholder("Search").fill("csv");
-
-  await page.waitForTimeout(2000);
-
-  await page
-    .getByTestId("documentloadersCSVLoader")
-    .dragTo(page.locator('//*[@id="react-flow-id"]'));
-  await page.mouse.up();
-  await page.mouse.down();
-
-  await page.locator('//*[@id="keypair0"]').click();
-  await page.locator('//*[@id="keypair0"]').fill("testtesttesttest");
-  await page.locator('//*[@id="keypair100"]').click();
-  await page
-    .locator('//*[@id="keypair100"]')
-    .fill("test test test test test test");
-
-  await page.getByTestId("div-generic-node").click();
-
-  const valueWithSpace = await page.getByTestId("keypair100").inputValue();
-  await page.getByTestId("div-generic-node").click();
-
-  if (valueWithSpace !== "test test test test test test") {
-    expect(false).toBeTruthy();
-  }
-
-  const plusButtonLocatorNode = page.locator('//*[@id="plusbtn0"]');
-  const elementCountNode = await plusButtonLocatorNode.count();
-  if (elementCountNode > 0) {
-    await plusButtonLocatorNode.click();
-  }
-  await page.getByTestId("div-generic-node").click();
-
-  await page.locator('//*[@id="keypair1"]').click();
-  await page.locator('//*[@id="keypair1"]').fill("testtesttesttest1");
-  await page.getByTestId("div-generic-node").click();
-
-  await page.locator('//*[@id="keypair101"]').click();
-  await page.locator('//*[@id="keypair101"]').fill("testtesttesttesttesttest1");
-  await page.getByTestId("div-generic-node").click();
-
-  await page.locator('//*[@id="plusbtn1"]').click();
-  await page.getByTestId("div-generic-node").click();
-
-  await page.locator('//*[@id="keypair2"]').click();
-  await page.locator('//*[@id="keypair2"]').fill("testtesttesttest2");
-  await page.getByTestId("div-generic-node").click();
-
-  await page.locator('//*[@id="keypair102"]').click();
-  await page.locator('//*[@id="keypair102"]').fill("testtesttesttesttesttest2");
-  await page.getByTestId("div-generic-node").click();
-
-  await page.locator('//*[@id="minusbtn1"]').click();
-  await page.getByTestId("div-generic-node").click();
-
-  const keyPairVerification = page.locator('//*[@id="keypair102"]');
-  const elementKeyCount = await keyPairVerification.count();
-
-  if (elementKeyCount === 0) {
-    expect(true).toBeTruthy();
-  } else {
-    expect(false).toBeTruthy();
-  }
-
-  await page.getByTestId("more-options-modal").click();
-  await page.getByTestId("edit-button-modal").click();
-
-  await page.locator('//*[@id="showfile_path"]').click();
-  expect(
-    await page.locator('//*[@id="showfile_path"]').isChecked()
-  ).toBeFalsy();
-  await page.locator('//*[@id="showmetadata"]').click();
-  expect(await page.locator('//*[@id="showmetadata"]').isChecked()).toBeFalsy();
-  await page.locator('//*[@id="saveChangesBtn"]').click();
-
-  const plusButtonLocator = page.locator('//*[@id="plusbtn0"]');
-  const elementCount = await plusButtonLocator.count();
-  if (elementCount === 0) {
-    expect(true).toBeTruthy();
-    await page.getByTestId("div-generic-node").click();
-
-    await page.getByTestId("more-options-modal").click();
-    await page.getByTestId("edit-button-modal").click();
-
-    await page.locator('//*[@id="showfile_path"]').click();
-    expect(
-      await page.locator('//*[@id="showfile_path"]').isChecked()
-    ).toBeTruthy();
-    await page.locator('//*[@id="showmetadata"]').click();
-    expect(
-      await page.locator('//*[@id="showmetadata"]').isChecked()
-    ).toBeTruthy();
-
-    await page.locator('//*[@id="editNodekeypair0"]').click();
-    await page.locator('//*[@id="editNodekeypair0"]').fill("testtesttesttest");
-    await page.locator('//*[@id="editNodekeypair100"]').click();
-    await page
-      .locator('//*[@id="editNodekeypair100"]')
-      .fill("test test test test test test");
-
-    const plusButtonLocator = page.locator('//*[@id="plusbtn0"]');
-    const elementCount = await plusButtonLocator.count();
-    if (elementCount > 0) {
-      await plusButtonLocator.click();
-    }
-
-    await page.locator('//*[@id="editNodekeypair1"]').click();
-    await page.locator('//*[@id="editNodekeypair1"]').fill("testtesttesttest1");
-    await page.locator('//*[@id="editNodekeypair101"]').first().click();
-    await page
-      .locator('//*[@id="editNodekeypair101"]')
-      .fill("testtesttesttesttesttest1");
-    await page.locator('//*[@id="editNodeplusbtn1"]').click();
-
-    await page.locator('//*[@id="editNodekeypair2"]').click();
-    await page.locator('//*[@id="editNodekeypair2"]').fill("testtesttesttest2");
-    await page.locator('//*[@id="editNodekeypair102"]').click();
-    await page
-      .locator('//*[@id="editNodekeypair102"]')
-      .fill("testtesttesttesttesttest2");
-
-    await page.locator('//*[@id="editNodeminusbtn1"]').click();
-
-    const keyPairVerification = page.locator('//*[@id="editNodekeypair102"]');
-    const elementKeyCount = await keyPairVerification.count();
-
-    if (elementKeyCount === 0) {
-      await page.locator('//*[@id="saveChangesBtn"]').click();
-
-      await page.getByTestId("div-generic-node").click();
-
-      const key1 = await page.locator('//*[@id="keypair0"]').inputValue();
-      const value1 = await page.locator('//*[@id="keypair100"]').inputValue();
-      const key2 = await page.locator('//*[@id="keypair1"]').inputValue();
-      const value2 = await page.locator('//*[@id="keypair101"]').inputValue();
-      await page.getByTestId("div-generic-node").click();
-
-      if (
-        key1 === "testtesttesttest" &&
-        value1 === "test test test test test test" &&
-        key2 === "testtesttesttest2" &&
-        value2 === "testtesttesttesttesttest2"
-      ) {
-        expect(true).toBeTruthy();
-      } else {
-        expect(false).toBeTruthy();
-      }
-    } else {
-      expect(false).toBeTruthy();
-    }
-  } else {
-    expect(false).toBeTruthy();
-  }
-});
diff --git a/src/frontend/tests/onlyFront/login.spec.ts b/src/frontend/tests/onlyFront/login.spec.ts
deleted file mode 100644
index 119d00a3751..00000000000
--- a/src/frontend/tests/onlyFront/login.spec.ts
+++ /dev/null
@@ -1,121 +0,0 @@
-import { test } from "@playwright/test";
-
-test.describe("Login Tests", () => {
-  test("Login_Success", async ({ page }) => {
-    //   await page.route("**/api/v1/login", async (route) => {
-    //     const json = {
-    //       access_token:
-    //         "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJhMWNlM2FkOS1iZTE2LTRiNjgtOGRhYi1hYjA4YTVjMmZjZTkiLCJleHAiOjE2OTUyNTIwNTh9.MBYFwMhTcZnsW_L7p4qavUhSDylCllJQWUCJdU1wX8o",
-    //       refresh_token:
-    //         "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJhMWNlM2FkOS1iZTE2LTRiNjgtOGRhYi1hYjA4YTVjMmZjZTkiLCJ0eXBlIjoicmYiLCJleHAiOjE2OTUyNTI2NTh9.a4wL9-XK_zyTyrXduBFgCsODFXrqiByVr5HOeiCbiQA",
-    //       token_type: "bearer",
-    //     };
-    //     await route.fulfill({ json });
-    //   });
-    //   await page.goto("http://localhost:3000/");
-    //   await page.waitForURL("http://localhost:3000/login");
-    //   await page.waitForURL("http://localhost:3000/login", { timeout: 100 });
-    //   await page.getByPlaceholder("Username").click();
-    //   await page.getByPlaceholder("Username").fill("test");
-    //   await page.getByPlaceholder("Password").click();
-    //   await page.getByPlaceholder("Password").fill("test");
-    //   await page.getByRole("button", { name: "Sign in" }).click();
-    //   await page.getByRole("button", { name: "Community Examples" }).click();
-    //   await page.waitForSelector(".community-pages-flows-panel");
-    //   expect(
-    //     await page
-    //       .locator(".community-pages-flows-panel")
-    //       .evaluate((el) => el.children)
-    //   ).toBeTruthy();
-    // });
-    // test("Login Error", async ({ page }) => {
-    //   await page.route("**/api/v1/login", async (route) => {
-    //     const json = { detail: "Incorrect username or password" };
-    //     await route.fulfill({ json, status: 401 });
-    //   });
-    //   await page.goto("http://localhost:3000/");
-    //   await page.waitForURL("http://localhost:3000/login");
-    //   await page.waitForURL("http://localhost:3000/login", { timeout: 100 });
-    //   await page.getByPlaceholder("Username").click();
-    //   await page.getByPlaceholder("Username").fill("test");
-    //   await page.getByPlaceholder("Password").click();
-    //   await page.getByPlaceholder("Password").fill("test5");
-    //   await page.getByRole("button", { name: "Sign in" }).click();
-    //   await page.getByRole("heading", { name: "Error signing in" }).click();
-    // });
-    // test("Login create account wrong form", async ({ page }) => {
-    //   const fullfillForm = async (username, password, confirmPassword) => {
-    //     await page.getByPlaceholder("Username").click();
-    //     await page.getByPlaceholder("Username").fill(username);
-    //     await page.getByPlaceholder("Password", { exact: true }).click();
-    //     await page.getByPlaceholder("Password", { exact: true }).fill(password);
-    //     await page.getByPlaceholder("Confirm your password").click();
-    //     await page
-    //       .getByPlaceholder("Confirm your password")
-    //       .fill(confirmPassword);
-    //   };
-    //   await page.goto("http://localhost:3000/");
-    //   await page.waitForURL("http://localhost:3000/login");
-    //   await page.waitForURL("http://localhost:3000/login", { timeout: 100 });
-    //   await page
-    //     .getByRole("button", { name: "Don't have an account? Sign Up" })
-    //     .click();
-    //   await page.getByText("Sign up to Langflow").click();
-    //   await page.goto("http://localhost:3000/signup");
-    //   await page.getByText("Sign up to Langflow").click();
-    //   await fullfillForm("name", "vazz", "vazz5");
-    //   expect(
-    //     await page.getByRole("button", { name: "Sign up" }).isDisabled()
-    //   ).toBeTruthy();
-    //   await fullfillForm("", "vazz", "vazz");
-    //   expect(
-    //     await page.getByRole("button", { name: "Sign up" }).isDisabled()
-    //   ).toBeTruthy();
-    //   await fullfillForm("name", "", "");
-    //   expect(
-    //     await page.getByRole("button", { name: "Sign up" }).isDisabled()
-    //   ).toBeTruthy();
-    //   await fullfillForm("", "", "");
-    //   expect(
-    //     await page.getByRole("button", { name: "Sign up" }).isDisabled()
-    //   ).toBeTruthy();
-    // });
-    // test("Login create account success", async ({ page }) => {
-    //   await page.route("**/api/v1/users/", async (route) => {
-    //     const json = {
-    //       id: "e9ac1bdc-429b-475d-ac03-d26f9a2a3210",
-    //       username: "teste",
-    //       profile_image: null,
-    //       is_active: false,
-    //       is_superuser: false,
-    //       create_at: "2023-09-21T01:45:51.873303",
-    //       updated_at: "2023-09-21T01:45:51.873305",
-    //       last_login_at: null,
-    //     };
-    //     await route.fulfill({ json, status: 201 });
-    //   });
-    //   const submitForm = async (username, password, confirmPassword) => {
-    //     await page.getByPlaceholder("Username").click();
-    //     await page.getByPlaceholder("Username").fill(username);
-    //     await page.getByPlaceholder("Password", { exact: true }).click();
-    //     await page.getByPlaceholder("Password", { exact: true }).fill(password);
-    //     await page.getByPlaceholder("Confirm your password").click();
-    //     await page
-    //       .getByPlaceholder("Confirm your password")
-    //       .fill(confirmPassword);
-    //   };
-    //   await page.goto("http://localhost:3000/");
-    //   await page.waitForURL("http://localhost:3000/login");
-    //   await page.waitForURL("http://localhost:3000/login", { timeout: 100 });
-    //   await page
-    //     .getByRole("button", { name: "Don't have an account? Sign Up" })
-    //     .click();
-    //   await page.getByText("Sign up to Langflow").click();
-    //   await page.goto("http://localhost:3000/signup");
-    //   await page.getByText("Sign up to Langflow").click();
-    //   await submitForm("teste", "pass", "pass");
-    //   await page.getByRole("button", { name: "Sign up" }).click();
-    //   await page.waitForURL("http://localhost:3000/login", { timeout: 1000 });
-    //   await page.getByText("Account created! Await admin activation.").click();
-  });
-});
diff --git a/src/frontend/tests/onlyFront/nestedComponent.spec.ts b/src/frontend/tests/onlyFront/nestedComponent.spec.ts
deleted file mode 100644
index 0a90533f4ca..00000000000
--- a/src/frontend/tests/onlyFront/nestedComponent.spec.ts
+++ /dev/null
@@ -1,240 +0,0 @@
-import { expect, test } from "@playwright/test";
-
-test("NestedComponent", async ({ page }) => {
-  await page.routeFromHAR("harFiles/backend_12112023.har", {
-    url: "**/api/v1/**",
-    update: false,
-  });
-  await page.route("**/api/v1/flows/", async (route) => {
-    const json = {
-      id: "e9ac1bdc-429b-475d-ac03-d26f9a2a3210",
-    };
-    await route.fulfill({ json, status: 201 });
-  });
-  await page.goto("http://localhost:3000/");
-  await page.waitForTimeout(2000);
-
-  await page.locator('//*[@id="new-project-btn"]').click();
-  await page.waitForTimeout(2000);
-
-  await page.getByPlaceholder("Search").click();
-  await page.getByPlaceholder("Search").fill("pinecone");
-
-  await page.waitForTimeout(2000);
-
-  await page
-    .getByTestId("vectorstoresPinecone")
-    .first()
-    .dragTo(page.locator('//*[@id="react-flow-id"]'));
-  await page.click('//*[@id="react-flow-id"]');
-
-  await page.getByTestId("more-options-modal").click();
-  await page.getByTestId("edit-button-modal").click();
-
-  // showindex_name
-  await page.locator('//*[@id="showindex_name"]').click();
-
-  expect(
-    await page.locator('//*[@id="showindex_name"]').isChecked()
-  ).toBeFalsy();
-
-  // shownamespace
-  await page.locator('//*[@id="shownamespace"]').click();
-
-  expect(
-    await page.locator('//*[@id="shownamespace"]').isChecked()
-  ).toBeFalsy();
-
-  // showpinecone_api_key
-  await page.locator('//*[@id="showpinecone_api_key"]').click();
-
-  expect(
-    await page.locator('//*[@id="showpinecone_api_key"]').isChecked()
-  ).toBeTruthy();
-
-  // showpinecone_env
-  await page.locator('//*[@id="showpinecone_env"]').click();
-
-  expect(
-    await page.locator('//*[@id="showpinecone_env"]').isChecked()
-  ).toBeTruthy();
-
-  // showsearch_kwargs
-  await page.locator('//*[@id="showsearch_kwargs"]').click();
-
-  expect(
-    await page.locator('//*[@id="showsearch_kwargs"]').isChecked()
-  ).toBeTruthy();
-
-  // showindex_name
-  await page.locator('//*[@id="showindex_name"]').click();
-
-  expect(
-    await page.locator('//*[@id="showindex_name"]').isChecked()
-  ).toBeTruthy();
-
-  // shownamespace
-  await page.locator('//*[@id="shownamespace"]').click();
-
-  expect(
-    await page.locator('//*[@id="shownamespace"]').isChecked()
-  ).toBeTruthy();
-
-  // showpinecone_api_key
-  await page.locator('//*[@id="showpinecone_api_key"]').click();
-
-  expect(
-    await page.locator('//*[@id="showpinecone_api_key"]').isChecked()
-  ).toBeFalsy();
-
-  // showpinecone_env
-  await page.locator('//*[@id="showpinecone_env"]').click();
-
-  expect(
-    await page.locator('//*[@id="showpinecone_env"]').isChecked()
-  ).toBeFalsy();
-
-  // showsearch_kwargs
-  await page.locator('//*[@id="showsearch_kwargs"]').click();
-
-  expect(
-    await page.locator('//*[@id="showsearch_kwargs"]').isChecked()
-  ).toBeFalsy();
-
-  // showindex_name
-  await page.locator('//*[@id="showindex_name"]').click();
-
-  expect(
-    await page.locator('//*[@id="showindex_name"]').isChecked()
-  ).toBeFalsy();
-
-  // shownamespace
-  await page.locator('//*[@id="shownamespace"]').click();
-
-  expect(
-    await page.locator('//*[@id="shownamespace"]').isChecked()
-  ).toBeFalsy();
-
-  // showpinecone_api_key
-  await page.locator('//*[@id="showpinecone_api_key"]').click();
-
-  expect(
-    await page.locator('//*[@id="showpinecone_api_key"]').isChecked()
-  ).toBeTruthy();
-
-  // showpinecone_env
-  await page.locator('//*[@id="showpinecone_env"]').click();
-
-  expect(
-    await page.locator('//*[@id="showpinecone_env"]').isChecked()
-  ).toBeTruthy();
-
-  // showsearch_kwargs
-  await page.locator('//*[@id="showsearch_kwargs"]').click();
-
-  expect(
-    await page.locator('//*[@id="showsearch_kwargs"]').isChecked()
-  ).toBeTruthy();
-
-  // showindex_name
-  await page.locator('//*[@id="showindex_name"]').click();
-
-  expect(
-    await page.locator('//*[@id="showindex_name"]').isChecked()
-  ).toBeTruthy();
-
-  // shownamespace
-  await page.locator('//*[@id="shownamespace"]').click();
-
-  expect(
-    await page.locator('//*[@id="shownamespace"]').isChecked()
-  ).toBeTruthy();
-
-  // showpinecone_api_key
-  await page.locator('//*[@id="showpinecone_api_key"]').click();
-
-  expect(
-    await page.locator('//*[@id="showpinecone_api_key"]').isChecked()
-  ).toBeFalsy();
-
-  // showpinecone_env
-  await page.locator('//*[@id="showpinecone_env"]').click();
-
-  expect(
-    await page.locator('//*[@id="showpinecone_env"]').isChecked()
-  ).toBeFalsy();
-
-  // showsearch_kwargs
-  await page.locator('//*[@id="showsearch_kwargs"]').click();
-
-  expect(
-    await page.locator('//*[@id="showsearch_kwargs"]').isChecked()
-  ).toBeFalsy();
-
-  // showindex_name
-  await page.locator('//*[@id="showindex_name"]').click();
-
-  expect(
-    await page.locator('//*[@id="showindex_name"]').isChecked()
-  ).toBeFalsy();
-
-  // shownamespace
-  await page.locator('//*[@id="shownamespace"]').click();
-
-  expect(
-    await page.locator('//*[@id="shownamespace"]').isChecked()
-  ).toBeFalsy();
-
-  // showpinecone_api_key
-  await page.locator('//*[@id="showpinecone_api_key"]').click();
-
-  expect(
-    await page.locator('//*[@id="showpinecone_api_key"]').isChecked()
-  ).toBeTruthy();
-
-  // showpinecone_env
-  await page.locator('//*[@id="showpinecone_env"]').click();
-
-  expect(
-    await page.locator('//*[@id="showpinecone_env"]').isChecked()
-  ).toBeTruthy();
-
-  // showsearch_kwargs
-  await page.locator('//*[@id="showsearch_kwargs"]').click();
-
-  expect(
-    await page.locator('//*[@id="showsearch_kwargs"]').isChecked()
-  ).toBeTruthy();
-
-  // showindex_name
-  await page.locator('//*[@id="showindex_name"]').click();
-
-  expect(
-    await page.locator('//*[@id="showindex_name"]').isChecked()
-  ).toBeTruthy();
-
-  // shownamespace
-  await page.locator('//*[@id="shownamespace"]').click();
-
-  expect(
-    await page.locator('//*[@id="shownamespace"]').isChecked()
-  ).toBeTruthy();
-
-  // showpinecone_api_key
-  await page.locator('//*[@id="showpinecone_api_key"]').click();
-
-  expect(
-    await page.locator('//*[@id="showpinecone_api_key"]').isChecked()
-  ).toBeFalsy();
-
-  // showpinecone_env
-  await page.locator('//*[@id="showpinecone_env"]').click();
-
-  expect(
-    await page.locator('//*[@id="showpinecone_env"]').isChecked()
-  ).toBeFalsy();
-
-  await page.locator('//*[@id="saveChangesBtn"]').click();
-
-  await page.getByTestId("div-dict-input").click();
-});
diff --git a/src/frontend/tests/onlyFront/saveComponents.spec.ts b/src/frontend/tests/onlyFront/saveComponents.spec.ts
deleted file mode 100644
index 10a0c9c77dc..00000000000
--- a/src/frontend/tests/onlyFront/saveComponents.spec.ts
+++ /dev/null
@@ -1,117 +0,0 @@
-import { Page, expect, test } from "@playwright/test";
-import { readFileSync } from "fs";
-
-test.describe("save component tests", () => {
-  async function saveComponent(page: Page, pattern: RegExp, n: number) {
-    for (let i = 0; i < n; i++) {
-      await page.getByTestId(pattern).click();
-      await page.getByLabel("Save").click();
-    }
-  }
-
-  /// <reference lib="dom"/>
-  test("save group component tests", async ({ page }) => {
-    //make front work withoput backend
-    await page.routeFromHAR("harFiles/langflow.har", {
-      url: "**/api/v1/**",
-      update: false,
-    });
-    await page.route("**/api/v1/flows/", async (route) => {
-      const json = {
-        id: "e9ac1bdc-429b-475d-ac03-d26f9a2a3210",
-      };
-      await route.fulfill({ json, status: 201 });
-    });
-    await page.goto("http:localhost:3000/");
-    await page.locator("span").filter({ hasText: "My Collection" }).isVisible();
-    // Read your file into a buffer.
-    const jsonContent = readFileSync(
-      "tests/onlyFront/assets/collection.json",
-      "utf-8"
-    );
-
-    // Create the DataTransfer and File
-    const dataTransfer = await page.evaluateHandle((data) => {
-      const dt = new DataTransfer();
-      // Convert the buffer to a hex array
-      const file = new File([data], "flowtest.json", {
-        type: "application/json",
-      });
-      dt.items.add(file);
-      return dt;
-    }, jsonContent);
-
-    // Now dispatch
-    await page.dispatchEvent(
-      '//*[@id="root"]/div/div[1]/div[2]/div[3]/div/div',
-      "drop",
-      {
-        dataTransfer,
-      }
-    );
-
-    await page
-      .getByTestId("edit-flow-button-e9ac1bdc-429b-475d-ac03-d26f9a2a3210-0")
-      .click();
-    await page.waitForTimeout(2000);
-
-    const genericNoda = page.getByTestId("div-generic-node");
-    const elementCount = await genericNoda.count();
-    if (elementCount > 0) {
-      expect(true).toBeTruthy();
-    }
-
-    await page.getByTestId("title-PythonFunctionTool").click({
-      modifiers: ["Control"],
-    });
-    await page.getByTestId("title-ChatOpenAI").click({
-      modifiers: ["Control"],
-    });
-
-    await page.getByTestId("title-AgentInitializer").click({
-      modifiers: ["Control"],
-    });
-
-    await page.getByRole("button", { name: "Group" }).click();
-
-    let textArea = page.getByTestId("div-textarea-description");
-    let elementCountText = await textArea.count();
-    if (elementCountText > 0) {
-      expect(true).toBeTruthy();
-    }
-
-    let groupNode = page.getByTestId("title-Group");
-    let elementGroup = await groupNode.count();
-    if (elementGroup > 0) {
-      expect(true).toBeTruthy();
-    }
-
-    await page.getByTestId("title-Group").click();
-    await page.getByTestId("more-options-modal").click();
-    await page.getByTestId("save-button-modal").click();
-    await page.getByTestId("delete-button-modal").click();
-
-    await page.getByPlaceholder("Search").click();
-    await page.getByPlaceholder("Search").fill("group");
-    await page.waitForTimeout(2000);
-
-    await page
-      .getByTestId("saved_componentsGroup")
-      .first()
-      .dragTo(page.locator('//*[@id="react-flow-id"]'));
-    await page.mouse.up();
-    await page.mouse.down();
-
-    textArea = page.getByTestId("div-textarea-description");
-    elementCountText = await textArea.count();
-    if (elementCountText > 0) {
-      expect(true).toBeTruthy();
-    }
-
-    groupNode = page.getByTestId("title-Group");
-    elementGroup = await groupNode.count();
-    if (elementGroup > 0) {
-      expect(true).toBeTruthy();
-    }
-  });
-});
diff --git a/src/frontend/tests/onlyFront/toggleComponent.spec.ts b/src/frontend/tests/onlyFront/toggleComponent.spec.ts
deleted file mode 100644
index cdf360c577c..00000000000
--- a/src/frontend/tests/onlyFront/toggleComponent.spec.ts
+++ /dev/null
@@ -1,168 +0,0 @@
-import { expect, test } from "@playwright/test";
-
-test("ToggleComponent", async ({ page }) => {
-  await page.routeFromHAR("harFiles/langflow.har", {
-    url: "**/api/v1/**",
-    update: false,
-  });
-  await page.route("**/api/v1/flows/", async (route) => {
-    const json = {
-      id: "e9ac1bdc-429b-475d-ac03-d26f9a2a3210",
-    };
-    await route.fulfill({ json, status: 201 });
-  });
-  await page.goto("http://localhost:3000/");
-  await page.waitForTimeout(2000);
-
-  await page.locator('//*[@id="new-project-btn"]').click();
-  await page.waitForTimeout(2000);
-
-  await page.getByPlaceholder("Search").click();
-  await page.getByPlaceholder("Search").fill("directoryLoader");
-
-  await page.waitForTimeout(2000);
-  await page
-    .getByTestId("documentloadersDirectoryLoader")
-    .dragTo(page.locator('//*[@id="react-flow-id"]'));
-  await page.mouse.up();
-  await page.mouse.down();
-  await page.getByTestId("div-generic-node").click();
-
-  await page.getByTestId("more-options-modal").click();
-  await page.getByTestId("edit-button-modal").click();
-
-  await page.locator('//*[@id="showload_hidden"]').click();
-  expect(
-    await page.locator('//*[@id="showload_hidden"]').isChecked()
-  ).toBeTruthy();
-
-  await page.locator('//*[@id="saveChangesBtn"]').click();
-
-  await page.locator('//*[@id="toggle-1"]').click();
-  expect(await page.locator('//*[@id="toggle-1"]').isChecked()).toBeFalsy();
-
-  await page.locator('//*[@id="toggle-1"]').click();
-  expect(await page.locator('//*[@id="toggle-1"]').isChecked()).toBeTruthy();
-
-  await page.locator('//*[@id="toggle-1"]').click();
-  expect(await page.locator('//*[@id="toggle-1"]').isChecked()).toBeFalsy();
-
-  await page.locator('//*[@id="toggle-1"]').click();
-  expect(await page.locator('//*[@id="toggle-1"]').isChecked()).toBeTruthy();
-
-  await page.locator('//*[@id="toggle-1"]').click();
-  expect(await page.locator('//*[@id="toggle-1"]').isChecked()).toBeFalsy();
-
-  await page.getByTestId("div-generic-node").click();
-
-  await page.getByTestId("more-options-modal").click();
-  await page.getByTestId("edit-button-modal").click();
-
-  expect(
-    await page.locator('//*[@id="toggle-edit-1"]').isChecked()
-  ).toBeFalsy();
-
-  await page.locator('//*[@id="showglob"]').click();
-  expect(await page.locator('//*[@id="showglob"]').isChecked()).toBeFalsy();
-
-  await page.locator('//*[@id="showload_hidden"]').click();
-  expect(
-    await page.locator('//*[@id="showload_hidden"]').isChecked()
-  ).toBeFalsy();
-
-  await page.locator('//*[@id="showmax_concurrency"]').click();
-  expect(
-    await page.locator('//*[@id="showmax_concurrency"]').isChecked()
-  ).toBeTruthy();
-
-  await page.locator('//*[@id="showmetadata"]').click();
-  expect(await page.locator('//*[@id="showmetadata"]').isChecked()).toBeFalsy();
-
-  await page.locator('//*[@id="showpath"]').click();
-  expect(await page.locator('//*[@id="showpath"]').isChecked()).toBeFalsy();
-
-  await page.locator('//*[@id="showrecursive"]').click();
-  expect(
-    await page.locator('//*[@id="showrecursive"]').isChecked()
-  ).toBeTruthy();
-
-  await page.locator('//*[@id="showsilent_errors"]').click();
-  expect(
-    await page.locator('//*[@id="showsilent_errors"]').isChecked()
-  ).toBeTruthy();
-
-  await page.locator('//*[@id="showuse_multithreading"]').click();
-  expect(
-    await page.locator('//*[@id="showuse_multithreading"]').isChecked()
-  ).toBeTruthy();
-
-  await page.locator('//*[@id="showglob"]').click();
-  expect(await page.locator('//*[@id="showglob"]').isChecked()).toBeTruthy();
-
-  await page.locator('//*[@id="showmax_concurrency"]').click();
-  expect(
-    await page.locator('//*[@id="showmax_concurrency"]').isChecked()
-  ).toBeFalsy();
-
-  await page.locator('//*[@id="showmetadata"]').click();
-  expect(
-    await page.locator('//*[@id="showmetadata"]').isChecked()
-  ).toBeTruthy();
-
-  await page.locator('//*[@id="showpath"]').click();
-  expect(await page.locator('//*[@id="showpath"]').isChecked()).toBeTruthy();
-
-  await page.locator('//*[@id="showrecursive"]').click();
-  expect(
-    await page.locator('//*[@id="showrecursive"]').isChecked()
-  ).toBeFalsy();
-
-  await page.locator('//*[@id="showsilent_errors"]').click();
-  expect(
-    await page.locator('//*[@id="showsilent_errors"]').isChecked()
-  ).toBeFalsy();
-
-  await page.locator('//*[@id="showuse_multithreading"]').click();
-  expect(
-    await page.locator('//*[@id="showuse_multithreading"]').isChecked()
-  ).toBeFalsy();
-
-  await page.locator('//*[@id="saveChangesBtn"]').click();
-
-  const plusButtonLocator = page.locator('//*[@id="toggle-1"]');
-  const elementCount = await plusButtonLocator.count();
-  if (elementCount === 0) {
-    expect(true).toBeTruthy();
-
-    await page.getByTestId("div-generic-node").click();
-
-    await page.getByTestId("more-options-modal").click();
-    await page.getByTestId("edit-button-modal").click();
-
-    await page.locator('//*[@id="showload_hidden"]').click();
-    expect(
-      await page.locator('//*[@id="showload_hidden"]').isChecked()
-    ).toBeTruthy();
-
-    expect(
-      await page.locator('//*[@id="toggle-edit-1"]').isChecked()
-    ).toBeFalsy();
-
-    await page.locator('//*[@id="saveChangesBtn"]').click();
-
-    await page.locator('//*[@id="toggle-1"]').click();
-    expect(await page.locator('//*[@id="toggle-1"]').isChecked()).toBeTruthy();
-
-    await page.locator('//*[@id="toggle-1"]').click();
-    expect(await page.locator('//*[@id="toggle-1"]').isChecked()).toBeFalsy();
-
-    await page.locator('//*[@id="toggle-1"]').click();
-    expect(await page.locator('//*[@id="toggle-1"]').isChecked()).toBeTruthy();
-
-    await page.locator('//*[@id="toggle-1"]').click();
-    expect(await page.locator('//*[@id="toggle-1"]').isChecked()).toBeFalsy();
-
-    await page.locator('//*[@id="toggle-1"]').click();
-    expect(await page.locator('//*[@id="toggle-1"]').isChecked()).toBeTruthy();
-  }
-});
diff --git a/src/frontend/vite.config.mts b/src/frontend/vite.config.mts
new file mode 100644
index 00000000000..25e089c7878
--- /dev/null
+++ b/src/frontend/vite.config.mts
@@ -0,0 +1,43 @@
+import react from "@vitejs/plugin-react-swc";
+import dotenv from "dotenv";
+import path from "path";
+import { defineConfig } from "vite";
+import svgr from "vite-plugin-svgr";
+
+export default defineConfig(({ mode }) => {
+  dotenv.config({ path: path.resolve(__dirname, "../../.env") });
+
+  const apiRoutes = ["^/api/v1/", "/health"];
+
+  // Use environment variable to determine the target.
+  const target = process.env.VITE_PROXY_TARGET || "http://127.0.0.1:7860";
+
+  // Use environment variable to determine the UI server port
+  const port = Number(process.env.VITE_PORT) || 3000;
+
+  const proxyTargets = apiRoutes.reduce((proxyObj, route) => {
+    proxyObj[route] = {
+      target: target,
+      changeOrigin: true,
+      secure: false,
+      ws: true,
+    };
+    return proxyObj;
+  }, {});
+
+  return {
+    build: {
+      outDir: "build",
+    },
+    define: {
+      "process.env.BACKEND_URL": JSON.stringify(process.env.BACKEND_URL),
+    },
+    plugins: [react(), svgr()],
+    server: {
+      port: port,
+      proxy: {
+        ...proxyTargets,
+      },
+    },
+  };
+});
diff --git a/src/frontend/vite.config.ts b/src/frontend/vite.config.ts
deleted file mode 100644
index b513e36bb24..00000000000
--- a/src/frontend/vite.config.ts
+++ /dev/null
@@ -1,34 +0,0 @@
-import react from "@vitejs/plugin-react-swc";
-import { defineConfig } from "vite";
-import svgr from "vite-plugin-svgr";
-const apiRoutes = ["^/api/v1/", "/health"];
-
-// Use environment variable to determine the target.
-const target = process.env.VITE_PROXY_TARGET || "http://127.0.0.1:7860";
-
-// Use environment variable to determine the UI server port
-const port = process.env.VITE_PORT || 3000;
-
-const proxyTargets = apiRoutes.reduce((proxyObj, route) => {
-  proxyObj[route] = {
-    target: target,
-    changeOrigin: true,
-    secure: false,
-    ws: true,
-  };
-  return proxyObj;
-}, {});
-export default defineConfig(() => {
-  return {
-    build: {
-      outDir: "build",
-    },
-    plugins: [react(), svgr()],
-    server: {
-      port: port,
-      proxy: {
-        ...proxyTargets,
-      },
-    },
-  };
-});
diff --git a/tests/conftest.py b/tests/conftest.py
index af9bbe169bf..0033b0652f2 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -1,4 +1,6 @@
 import json
+import os.path
+import shutil
 
 # we need to import tmpdir
 import tempfile
@@ -8,15 +10,19 @@
 
 import orjson
 import pytest
+from dotenv import load_dotenv
 from fastapi.testclient import TestClient
 from httpx import AsyncClient
-from sqlmodel import Session, SQLModel, create_engine
+from sqlmodel import Session, SQLModel, create_engine, select
 from sqlmodel.pool import StaticPool
 from typer.testing import CliRunner
 
 from langflow.graph.graph.base import Graph
+from langflow.initial_setup.setup import STARTER_FOLDER_NAME
 from langflow.services.auth.utils import get_password_hash
+from langflow.services.database.models.api_key.model import ApiKey
 from langflow.services.database.models.flow.model import Flow, FlowCreate
+from langflow.services.database.models.folder.model import Folder
 from langflow.services.database.models.user.model import User, UserCreate
 from langflow.services.database.utils import session_getter
 from langflow.services.deps import get_db_service
@@ -25,23 +31,54 @@
     from langflow.services.database.service import DatabaseService
 
 
-def pytest_configure():
-    pytest.BASIC_EXAMPLE_PATH = Path(__file__).parent.absolute() / "data" / "basic_example.json"
-    pytest.COMPLEX_EXAMPLE_PATH = Path(__file__).parent.absolute() / "data" / "complex_example.json"
-    pytest.OPENAPI_EXAMPLE_PATH = Path(__file__).parent.absolute() / "data" / "Openapi.json"
-    pytest.GROUPED_CHAT_EXAMPLE_PATH = Path(__file__).parent.absolute() / "data" / "grouped_chat.json"
-    pytest.ONE_GROUPED_CHAT_EXAMPLE_PATH = Path(__file__).parent.absolute() / "data" / "one_group_chat.json"
-    pytest.VECTOR_STORE_GROUPED_EXAMPLE_PATH = Path(__file__).parent.absolute() / "data" / "vector_store_grouped.json"
+load_dotenv()
 
-    pytest.BASIC_CHAT_WITH_PROMPT_AND_HISTORY = (
-        Path(__file__).parent.absolute() / "data" / "BasicChatwithPromptandHistory.json"
-    )
-    pytest.VECTOR_STORE_PATH = Path(__file__).parent.absolute() / "data" / "Vector_store.json"
+
+def pytest_configure(config):
+    config.addinivalue_line("markers", "noclient: don't create a client for this test")
+    config.addinivalue_line("markers", "load_flows: load the flows for this test")
+    config.addinivalue_line("markers", "api_key_required: run only if the api key is set in the environment variables")
+    data_path = Path(__file__).parent.absolute() / "data"
+
+    pytest.BASIC_EXAMPLE_PATH = data_path / "basic_example.json"
+    pytest.COMPLEX_EXAMPLE_PATH = data_path / "complex_example.json"
+    pytest.OPENAPI_EXAMPLE_PATH = data_path / "Openapi.json"
+    pytest.GROUPED_CHAT_EXAMPLE_PATH = data_path / "grouped_chat.json"
+    pytest.ONE_GROUPED_CHAT_EXAMPLE_PATH = data_path / "one_group_chat.json"
+    pytest.VECTOR_STORE_GROUPED_EXAMPLE_PATH = data_path / "vector_store_grouped.json"
+    pytest.WEBHOOK_TEST = data_path / "WebhookTest.json"
+
+    pytest.BASIC_CHAT_WITH_PROMPT_AND_HISTORY = data_path / "BasicChatwithPromptandHistory.json"
+    pytest.CHAT_INPUT = data_path / "ChatInputTest.json"
+    pytest.TWO_OUTPUTS = data_path / "TwoOutputsTest.json"
+    pytest.VECTOR_STORE_PATH = data_path / "Vector_store.json"
     pytest.CODE_WITH_SYNTAX_ERROR = """
 def get_text():
     retun "Hello World"
     """
 
+    # validate that all the paths are correct and the files exist
+    for path in [
+        pytest.BASIC_EXAMPLE_PATH,
+        pytest.COMPLEX_EXAMPLE_PATH,
+        pytest.OPENAPI_EXAMPLE_PATH,
+        pytest.GROUPED_CHAT_EXAMPLE_PATH,
+        pytest.ONE_GROUPED_CHAT_EXAMPLE_PATH,
+        pytest.VECTOR_STORE_GROUPED_EXAMPLE_PATH,
+        pytest.BASIC_CHAT_WITH_PROMPT_AND_HISTORY,
+        pytest.CHAT_INPUT,
+        pytest.TWO_OUTPUTS,
+        pytest.VECTOR_STORE_PATH,
+    ]:
+        assert path.exists(), f"File {path} does not exist. Available files: {list(data_path.iterdir())}"
+
+
+@pytest.fixture(autouse=True)
+def check_openai_api_key_in_environment_variables():
+    import os
+
+    assert os.environ.get("OPENAI_API_KEY") is not None, "OPENAI_API_KEY is not set in environment variables"
+
 
 @pytest.fixture()
 async def async_client() -> AsyncGenerator:
@@ -65,6 +102,12 @@ class Config:
     result_backend = "redis://localhost:6379/0"
 
 
+@pytest.fixture(name="load_flows_dir")
+def load_flows_dir():
+    tempdir = tempfile.TemporaryDirectory()
+    yield tempdir.name
+
+
 @pytest.fixture(name="distributed_env")
 def setup_env(monkeypatch):
     monkeypatch.setenv("LANGFLOW_CACHE_TYPE", "redis")
@@ -181,26 +224,41 @@ def json_vector_store():
         return f.read()
 
 
-@pytest.fixture(name="client", autouse=True)
-def client_fixture(session: Session, monkeypatch):
-    # Set the database url to a test database
-    db_dir = tempfile.mkdtemp()
-    db_path = Path(db_dir) / "test.db"
-    monkeypatch.setenv("LANGFLOW_DATABASE_URL", f"sqlite:///{db_path}")
-    monkeypatch.setenv("LANGFLOW_AUTO_LOGIN", "false")
-
-    from langflow.main import create_app
+@pytest.fixture
+def json_webhook_test():
+    with open(pytest.WEBHOOK_TEST, "r") as f:
+        return f.read()
 
-    app = create_app()
 
-    # app.dependency_overrides[get_session] = get_session_override
-    with TestClient(app) as client:
-        yield client
-    # app.dependency_overrides.clear()
-    monkeypatch.undo()
-    # clear the temp db
-    with suppress(FileNotFoundError):
-        db_path.unlink()
+@pytest.fixture(name="client", autouse=True)
+def client_fixture(session: Session, monkeypatch, request, load_flows_dir):
+    # Set the database url to a test database
+    if "noclient" in request.keywords:
+        yield
+    else:
+        db_dir = tempfile.mkdtemp()
+        db_path = Path(db_dir) / "test.db"
+        monkeypatch.setenv("LANGFLOW_DATABASE_URL", f"sqlite:///{db_path}")
+        monkeypatch.setenv("LANGFLOW_AUTO_LOGIN", "false")
+        if "load_flows" in request.keywords:
+            shutil.copyfile(
+                pytest.BASIC_EXAMPLE_PATH, os.path.join(load_flows_dir, "c54f9130-f2fa-4a3e-b22a-3856d946351b.json")
+            )
+            monkeypatch.setenv("LANGFLOW_LOAD_FLOWS_PATH", load_flows_dir)
+            monkeypatch.setenv("LANGFLOW_AUTO_LOGIN", "true")
+
+        from langflow.main import create_app
+
+        app = create_app()
+
+        # app.dependency_overrides[get_session] = get_session_override
+        with TestClient(app) as client:
+            yield client
+        # app.dependency_overrides.clear()
+        monkeypatch.undo()
+        # clear the temp db
+        with suppress(FileNotFoundError):
+            db_path.unlink()
 
 
 # create a fixture for session_getter above
@@ -241,7 +299,7 @@ def active_user(client):
             is_superuser=False,
         )
         # check if user exists
-        if active_user := session.query(User).filter(User.username == user.username).first():
+        if active_user := session.exec(select(User).where(User.username == user.username)).first():
             return active_user
         session.add(user)
         session.commit()
@@ -264,13 +322,9 @@ def flow(client, json_flow: str, active_user):
     from langflow.services.database.models.flow.model import FlowCreate
 
     loaded_json = json.loads(json_flow)
-    flow_data = FlowCreate(
-        name="test_flow",
-        data=loaded_json.get("data"),
-        user_id=active_user.id,
-        description="description",
-    )
-    flow = Flow.model_validate(flow_data.model_dump())
+    flow_data = FlowCreate(name="test_flow", data=loaded_json.get("data"), user_id=active_user.id)
+
+    flow = Flow.model_validate(flow_data)
     with session_getter(get_db_service()) as session:
         session.add(flow)
         session.commit()
@@ -280,7 +334,19 @@ def flow(client, json_flow: str, active_user):
 
 
 @pytest.fixture
-def added_flow(client, json_flow_with_prompt_and_history, logged_in_headers):
+def json_chat_input():
+    with open(pytest.CHAT_INPUT, "r") as f:
+        return f.read()
+
+
+@pytest.fixture
+def json_two_outputs():
+    with open(pytest.TWO_OUTPUTS, "r") as f:
+        return f.read()
+
+
+@pytest.fixture
+def added_flow_with_prompt_and_history(client, json_flow_with_prompt_and_history, logged_in_headers):
     flow = orjson.loads(json_flow_with_prompt_and_history)
     data = flow["data"]
     flow = FlowCreate(name="Basic Chat", description="description", data=data)
@@ -291,6 +357,30 @@ def added_flow(client, json_flow_with_prompt_and_history, logged_in_headers):
     return response.json()
 
 
+@pytest.fixture
+def added_flow_chat_input(client, json_chat_input, logged_in_headers):
+    flow = orjson.loads(json_chat_input)
+    data = flow["data"]
+    flow = FlowCreate(name="Chat Input", description="description", data=data)
+    response = client.post("api/v1/flows/", json=flow.model_dump(), headers=logged_in_headers)
+    assert response.status_code == 201
+    assert response.json()["name"] == flow.name
+    assert response.json()["data"] == flow.data
+    return response.json()
+
+
+@pytest.fixture
+def added_flow_two_outputs(client, json_two_outputs, logged_in_headers):
+    flow = orjson.loads(json_two_outputs)
+    data = flow["data"]
+    flow = FlowCreate(name="Two Outputs", description="description", data=data)
+    response = client.post("api/v1/flows/", json=flow.model_dump(), headers=logged_in_headers)
+    assert response.status_code == 201
+    assert response.json()["name"] == flow.name
+    assert response.json()["data"] == flow.data
+    return response.json()
+
+
 @pytest.fixture
 def added_vector_store(client, json_vector_store, logged_in_headers):
     vector_store = orjson.loads(json_vector_store)
@@ -304,16 +394,59 @@ def added_vector_store(client, json_vector_store, logged_in_headers):
 
 
 @pytest.fixture
-def test_component_code():
-    path = Path(__file__).parent.absolute() / "data" / "component.py"
-    # load the content as a string
-    with open(path, "r") as f:
-        return f.read()
+def added_webhook_test(client, json_webhook_test, logged_in_headers):
+    webhook_test = orjson.loads(json_webhook_test)
+    data = webhook_test["data"]
+    webhook_test = FlowCreate(
+        name="Webhook Test", description="description", data=data, endpoint_name=webhook_test["endpoint_name"]
+    )
+    response = client.post("api/v1/flows/", json=webhook_test.model_dump(), headers=logged_in_headers)
+    assert response.status_code == 201
+    assert response.json()["name"] == webhook_test.name
+    assert response.json()["data"] == webhook_test.data
+    return response.json()
 
 
 @pytest.fixture
-def test_component_with_templatefield_code():
-    path = Path(__file__).parent.absolute() / "data" / "component_with_templatefield.py"
-    # load the content as a string
-    with open(path, "r") as f:
-        return f.read()
+def created_api_key(active_user):
+    hashed = get_password_hash("random_key")
+    api_key = ApiKey(
+        name="test_api_key",
+        user_id=active_user.id,
+        api_key="random_key",
+        hashed_api_key=hashed,
+    )
+    db_manager = get_db_service()
+    with session_getter(db_manager) as session:
+        if existing_api_key := session.exec(select(ApiKey).where(ApiKey.api_key == api_key.api_key)).first():
+            return existing_api_key
+        session.add(api_key)
+        session.commit()
+        session.refresh(api_key)
+    return api_key
+
+
+@pytest.fixture(name="starter_project")
+def get_starter_project(active_user):
+    # once the client is created, we can get the starter project
+    with session_getter(get_db_service()) as session:
+        flow = session.exec(
+            select(Flow)
+            .where(Flow.folder.has(Folder.name == STARTER_FOLDER_NAME))
+            .where(Flow.name == "Basic Prompting (Hello, World)")
+        ).first()
+        if not flow:
+            raise ValueError("No starter project found")
+
+        new_flow_create = FlowCreate(
+            name=flow.name,
+            description=flow.description,
+            data=flow.data,
+            user_id=active_user.id,
+        )
+        new_flow = Flow.model_validate(new_flow_create, from_attributes=True)
+        session.add(new_flow)
+        session.commit()
+        session.refresh(new_flow)
+        new_flow_dict = new_flow.model_dump()
+    return new_flow_dict
diff --git a/tests/data/ChatInputTest.json b/tests/data/ChatInputTest.json
new file mode 100644
index 00000000000..3c516067ed3
--- /dev/null
+++ b/tests/data/ChatInputTest.json
@@ -0,0 +1,918 @@
+{
+    "name": "ChatInputTest",
+    "description": "",
+    "data": {
+        "nodes": [
+            {
+                "width": 384,
+                "height": 359,
+                "id": "PromptTemplate-IKKOx",
+                "type": "genericNode",
+                "position": {
+                    "x": 880,
+                    "y": 646.9375
+                },
+                "data": {
+                    "type": "PromptTemplate",
+                    "node": {
+                        "template": {
+                            "output_parser": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "password": false,
+                                "name": "output_parser",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "BaseOutputParser",
+                                "list": false
+                            },
+                            "input_variables": {
+                                "required": true,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "password": false,
+                                "name": "input_variables",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "str",
+                                "list": true,
+                                "value": [
+                                    "input"
+                                ]
+                            },
+                            "partial_variables": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "password": false,
+                                "name": "partial_variables",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "code",
+                                "list": false
+                            },
+                            "template": {
+                                "required": true,
+                                "placeholder": "",
+                                "show": true,
+                                "multiline": true,
+                                "password": false,
+                                "name": "template",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "prompt",
+                                "list": false,
+                                "value": "Input: {input}\nAI:"
+                            },
+                            "template_format": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "value": "f-string",
+                                "password": false,
+                                "name": "template_format",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "str",
+                                "list": false
+                            },
+                            "validate_template": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "value": true,
+                                "password": false,
+                                "name": "validate_template",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "bool",
+                                "list": false
+                            },
+                            "_type": "PromptTemplate",
+                            "input": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": true,
+                                "multiline": true,
+                                "value": "",
+                                "password": false,
+                                "name": "input",
+                                "display_name": "input",
+                                "advanced": false,
+                                "input_types": [
+                                    "Document",
+                                    "BaseOutputParser",
+                                    "str"
+                                ],
+                                "dynamic": false,
+                                "info": "",
+                                "type": "str",
+                                "list": false
+                            }
+                        },
+                        "description": "A prompt template for a language model.",
+                        "base_classes": [
+                            "BasePromptTemplate",
+                            "PromptTemplate",
+                            "StringPromptTemplate"
+                        ],
+                        "name": "",
+                        "display_name": "PromptTemplate",
+                        "documentation": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/",
+                        "custom_fields": {
+                            "": [
+                                "input"
+                            ],
+                            "template": [
+                                "input"
+                            ]
+                        },
+                        "output_types": [],
+                        "field_formatters": {
+                            "formatters": {
+                                "openai_api_key": {}
+                            },
+                            "base_formatters": {
+                                "kwargs": {},
+                                "optional": {},
+                                "list": {},
+                                "dict": {},
+                                "union": {},
+                                "multiline": {},
+                                "show": {},
+                                "password": {},
+                                "default": {},
+                                "headers": {},
+                                "dict_code_file": {},
+                                "model_fields": {
+                                    "MODEL_DICT": {
+                                        "OpenAI": [
+                                            "text-davinci-003",
+                                            "text-davinci-002",
+                                            "text-curie-001",
+                                            "text-babbage-001",
+                                            "text-ada-001"
+                                        ],
+                                        "ChatOpenAI": [
+                                            "gpt-3.5-turbo-0613",
+                                            "gpt-3.5-turbo",
+                                            "gpt-3.5-turbo-16k-0613",
+                                            "gpt-3.5-turbo-16k",
+                                            "gpt-4-0613",
+                                            "gpt-4-32k-0613",
+                                            "gpt-4",
+                                            "gpt-4-32k"
+                                        ],
+                                        "Anthropic": [
+                                            "claude-v1",
+                                            "claude-v1-100k",
+                                            "claude-instant-v1",
+                                            "claude-instant-v1-100k",
+                                            "claude-v1.3",
+                                            "claude-v1.3-100k",
+                                            "claude-v1.2",
+                                            "claude-v1.0",
+                                            "claude-instant-v1.1",
+                                            "claude-instant-v1.1-100k",
+                                            "claude-instant-v1.0"
+                                        ],
+                                        "ChatAnthropic": [
+                                            "claude-v1",
+                                            "claude-v1-100k",
+                                            "claude-instant-v1",
+                                            "claude-instant-v1-100k",
+                                            "claude-v1.3",
+                                            "claude-v1.3-100k",
+                                            "claude-v1.2",
+                                            "claude-v1.0",
+                                            "claude-instant-v1.1",
+                                            "claude-instant-v1.1-100k",
+                                            "claude-instant-v1.0"
+                                        ]
+                                    }
+                                }
+                            }
+                        },
+                        "beta": false,
+                        "error": null
+                    },
+                    "id": "PromptTemplate-IKKOx"
+                },
+                "selected": false,
+                "positionAbsolute": {
+                    "x": 880,
+                    "y": 646.9375
+                },
+                "dragging": false
+            },
+            {
+                "width": 384,
+                "height": 307,
+                "id": "LLMChain-e2dhN",
+                "type": "genericNode",
+                "position": {
+                    "x": 1449.330344958542,
+                    "y": 880.1760221487797
+                },
+                "data": {
+                    "type": "LLMChain",
+                    "node": {
+                        "template": {
+                            "callbacks": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "password": false,
+                                "name": "callbacks",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "langchain.callbacks.base.BaseCallbackHandler",
+                                "list": true
+                            },
+                            "llm": {
+                                "required": true,
+                                "placeholder": "",
+                                "show": true,
+                                "multiline": false,
+                                "password": false,
+                                "name": "llm",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "BaseLanguageModel",
+                                "list": false
+                            },
+                            "memory": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": true,
+                                "multiline": false,
+                                "password": false,
+                                "name": "memory",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "BaseMemory",
+                                "list": false
+                            },
+                            "output_parser": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "password": false,
+                                "name": "output_parser",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "BaseLLMOutputParser",
+                                "list": false
+                            },
+                            "prompt": {
+                                "required": true,
+                                "placeholder": "",
+                                "show": true,
+                                "multiline": false,
+                                "password": false,
+                                "name": "prompt",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "BasePromptTemplate",
+                                "list": false
+                            },
+                            "llm_kwargs": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "password": false,
+                                "name": "llm_kwargs",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "code",
+                                "list": false
+                            },
+                            "metadata": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "password": false,
+                                "name": "metadata",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "code",
+                                "list": false
+                            },
+                            "output_key": {
+                                "required": true,
+                                "placeholder": "",
+                                "show": true,
+                                "multiline": false,
+                                "value": "text",
+                                "password": false,
+                                "name": "output_key",
+                                "advanced": true,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "str",
+                                "list": false
+                            },
+                            "return_final_only": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "value": true,
+                                "password": false,
+                                "name": "return_final_only",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "bool",
+                                "list": false
+                            },
+                            "tags": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "password": false,
+                                "name": "tags",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "str",
+                                "list": true
+                            },
+                            "verbose": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "value": false,
+                                "password": false,
+                                "name": "verbose",
+                                "advanced": true,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "bool",
+                                "list": false
+                            },
+                            "_type": "LLMChain"
+                        },
+                        "description": "Chain to run queries against LLMs.",
+                        "base_classes": [
+                            "Chain",
+                            "LLMChain",
+                            "function",
+                            "Text"
+                        ],
+                        "display_name": "LLMChain",
+                        "custom_fields": {},
+                        "output_types": [],
+                        "documentation": "https://python.langchain.com/docs/modules/chains/foundational/llm_chain",
+                        "beta": false,
+                        "error": null
+                    },
+                    "id": "LLMChain-e2dhN"
+                },
+                "positionAbsolute": {
+                    "x": 1449.330344958542,
+                    "y": 880.1760221487797
+                }
+            },
+            {
+                "width": 384,
+                "height": 621,
+                "id": "ChatOpenAI-2I57f",
+                "type": "genericNode",
+                "position": {
+                    "x": 393.3551923753797,
+                    "y": 1061.025177453298
+                },
+                "data": {
+                    "type": "ChatOpenAI",
+                    "node": {
+                        "template": {
+                            "callbacks": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "password": false,
+                                "name": "callbacks",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "langchain.callbacks.base.BaseCallbackHandler",
+                                "list": true
+                            },
+                            "cache": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "password": false,
+                                "name": "cache",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "bool",
+                                "list": false
+                            },
+                            "client": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "password": false,
+                                "name": "client",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "Any",
+                                "list": false
+                            },
+                            "max_retries": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "value": 6,
+                                "password": false,
+                                "name": "max_retries",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "int",
+                                "list": false
+                            },
+                            "max_tokens": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": true,
+                                "multiline": false,
+                                "password": true,
+                                "name": "max_tokens",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "int",
+                                "list": false,
+                                "value": ""
+                            },
+                            "metadata": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "password": false,
+                                "name": "metadata",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "code",
+                                "list": false
+                            },
+                            "model_kwargs": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": true,
+                                "multiline": false,
+                                "password": false,
+                                "name": "model_kwargs",
+                                "advanced": true,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "code",
+                                "list": false
+                            },
+                            "model_name": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": true,
+                                "multiline": false,
+                                "value": "gpt-3.5-turbo-0613",
+                                "password": false,
+                                "options": [
+                                    "gpt-3.5-turbo-0613",
+                                    "gpt-3.5-turbo",
+                                    "gpt-3.5-turbo-16k-0613",
+                                    "gpt-3.5-turbo-16k",
+                                    "gpt-4-0613",
+                                    "gpt-4-32k-0613",
+                                    "gpt-4",
+                                    "gpt-4-32k"
+                                ],
+                                "name": "model_name",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "str",
+                                "list": true
+                            },
+                            "n": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "value": 1,
+                                "password": false,
+                                "name": "n",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "int",
+                                "list": false
+                            },
+                            "openai_api_base": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": true,
+                                "multiline": false,
+                                "password": false,
+                                "name": "openai_api_base",
+                                "display_name": "OpenAI API Base",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\n",
+                                "type": "str",
+                                "list": false
+                            },
+                            "openai_api_key": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": true,
+                                "multiline": false,
+                                "value": "",
+                                "password": true,
+                                "name": "openai_api_key",
+                                "display_name": "OpenAI API Key",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "str",
+                                "list": false
+                            },
+                            "openai_organization": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "password": false,
+                                "name": "openai_organization",
+                                "display_name": "OpenAI Organization",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "str",
+                                "list": false
+                            },
+                            "openai_proxy": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "password": false,
+                                "name": "openai_proxy",
+                                "display_name": "OpenAI Proxy",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "str",
+                                "list": false
+                            },
+                            "request_timeout": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "password": false,
+                                "name": "request_timeout",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "float",
+                                "list": false
+                            },
+                            "streaming": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "value": false,
+                                "password": false,
+                                "name": "streaming",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "bool",
+                                "list": false
+                            },
+                            "tags": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "password": false,
+                                "name": "tags",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "str",
+                                "list": true
+                            },
+                            "temperature": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": true,
+                                "multiline": false,
+                                "value": 0.7,
+                                "password": false,
+                                "name": "temperature",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "float",
+                                "list": false
+                            },
+                            "tiktoken_model_name": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "password": false,
+                                "name": "tiktoken_model_name",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "str",
+                                "list": false
+                            },
+                            "verbose": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "value": false,
+                                "password": false,
+                                "name": "verbose",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "bool",
+                                "list": false
+                            },
+                            "_type": "ChatOpenAI"
+                        },
+                        "description": "`OpenAI` Chat large language models API.",
+                        "base_classes": [
+                            "BaseChatModel",
+                            "ChatOpenAI",
+                            "BaseLanguageModel",
+                            "BaseLLM"
+                        ],
+                        "display_name": "ChatOpenAI",
+                        "custom_fields": {},
+                        "output_types": [],
+                        "documentation": "https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai",
+                        "beta": false,
+                        "error": null
+                    },
+                    "id": "ChatOpenAI-2I57f"
+                },
+                "selected": false,
+                "positionAbsolute": {
+                    "x": 393.3551923753797,
+                    "y": 1061.025177453298
+                },
+                "dragging": false
+            },
+            {
+                "width": 384,
+                "height": 359,
+                "id": "ChatInput-207IY",
+                "type": "genericNode",
+                "position": {
+                    "x": 415.1018926651509,
+                    "y": 506.62736462360317
+                },
+                "data": {
+                    "type": "ChatInput",
+                    "node": {
+                        "template": {
+                            "code": {
+                                "dynamic": true,
+                                "required": true,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": true,
+                                "value": "from typing import Optional\nfrom langflow.custom import CustomComponent\n\n\nclass ChatInput(CustomComponent):\n    display_name = \"Chat Input\"\n\n    def build(self, message: Optional[str] = \"\") -> str:\n        return message\n",
+                                "password": false,
+                                "name": "code",
+                                "advanced": false,
+                                "type": "code",
+                                "list": false
+                            },
+                            "_type": "CustomComponent",
+                            "message": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": true,
+                                "multiline": false,
+                                "value": "",
+                                "password": false,
+                                "name": "message",
+                                "display_name": "message",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "str",
+                                "list": false
+                            }
+                        },
+                        "description": "Used to get user input from the chat.",
+                        "base_classes": [
+                            "str"
+                        ],
+                        "display_name": "Chat Input",
+                        "custom_fields": {
+                            "message": null
+                        },
+                        "output_types": [
+                            "ChatInput"
+                        ],
+                        "documentation": "",
+                        "beta": true,
+                        "error": null
+                    },
+                    "id": "ChatInput-207IY"
+                },
+                "positionAbsolute": {
+                    "x": 415.1018926651509,
+                    "y": 506.62736462360317
+                }
+            },
+            {
+                "width": 384,
+                "height": 389,
+                "id": "ChatOutput-1jlJy",
+                "type": "genericNode",
+                "position": {
+                    "x": 2002.8008888732943,
+                    "y": 926.1397178702218
+                },
+                "data": {
+                    "type": "ChatOutput",
+                    "node": {
+                        "template": {
+                            "code": {
+                                "dynamic": true,
+                                "required": true,
+                                "placeholder": "",
+                                "show": true,
+                                "multiline": true,
+                                "value": "from typing import Optional, Text\nfrom langflow.api.v1.schemas import ChatMessage\nfrom langflow.services.utils import get_chat_manager\nfrom langflow.custom import CustomComponent\nfrom anyio.from_thread import start_blocking_portal\nfrom loguru import logger\n\n\nclass ChatOutput(CustomComponent):\n    display_name = \"Chat Output\"\n    description = \"Used to send a message to the chat.\"\n\n    field_config = {\n        \"code\": {\n            \"show\": False,\n        }\n    }\n\n    def build_config(self):\n        return {\"message\": {\"input_types\": [\"Text\"]}}\n\n    def build(self, message: Optional[Text], is_ai: bool = False) -> Text:\n        if not message:\n            return \"\"\n        try:\n            chat_manager = get_chat_manager()\n            chat_message = ChatMessage(message=message, is_bot=is_ai)\n            # send_message is a coroutine\n            # run in a thread safe manner\n            with start_blocking_portal() as portal:\n                portal.call(chat_manager.send_message, chat_message)\n            chat_manager.chat_history.add_message(\n                chat_manager.cache_manager.current_client_id, chat_message\n            )\n        except Exception as exc:\n            logger.exception(exc)\n            logger.debug(f\"Error sending message to chat: {exc}\")\n        self.repr_value = message\n        return message\n",
+                                "password": false,
+                                "name": "code",
+                                "advanced": false,
+                                "type": "code",
+                                "list": false
+                            },
+                            "_type": "CustomComponent",
+                            "is_ai": {
+                                "required": true,
+                                "placeholder": "",
+                                "show": true,
+                                "multiline": false,
+                                "value": true,
+                                "password": false,
+                                "name": "is_ai",
+                                "display_name": "is_ai",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "bool",
+                                "list": false
+                            },
+                            "message": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": true,
+                                "multiline": false,
+                                "password": false,
+                                "name": "message",
+                                "display_name": "message",
+                                "advanced": false,
+                                "input_types": [
+                                    "Text"
+                                ],
+                                "dynamic": false,
+                                "info": "",
+                                "type": "Text",
+                                "list": false
+                            }
+                        },
+                        "description": "Used to send a message to the chat.",
+                        "base_classes": [
+                            "str"
+                        ],
+                        "display_name": "Chat Output",
+                        "custom_fields": {
+                            "is_ai": null,
+                            "message": null
+                        },
+                        "output_types": [
+                            "ChatOutput"
+                        ],
+                        "documentation": "",
+                        "beta": true,
+                        "error": null
+                    },
+                    "id": "ChatOutput-1jlJy"
+                },
+                "selected": true,
+                "dragging": false,
+                "positionAbsolute": {
+                    "x": 2002.8008888732943,
+                    "y": 926.1397178702218
+                }
+            }
+        ],
+        "edges": [
+            {
+                "source": "PromptTemplate-IKKOx",
+                "sourceHandle": "PromptTemplate|PromptTemplate-IKKOx|BasePromptTemplate|PromptTemplate|StringPromptTemplate",
+                "target": "LLMChain-e2dhN",
+                "targetHandle": "BasePromptTemplate|prompt|LLMChain-e2dhN",
+                "style": {
+                    "stroke": "#555"
+                },
+                "className": "",
+                "animated": false,
+                "id": "reactflow__edge-PromptTemplate-IKKOxPromptTemplate|PromptTemplate-IKKOx|StringPromptTemplate|BasePromptTemplate|PromptTemplate-LLMChain-e2dhNBasePromptTemplate|prompt|LLMChain-e2dhN"
+            },
+            {
+                "source": "ChatOpenAI-2I57f",
+                "sourceHandle": "ChatOpenAI|ChatOpenAI-2I57f|BaseChatModel|ChatOpenAI|BaseLanguageModel|BaseLLM",
+                "target": "LLMChain-e2dhN",
+                "targetHandle": "BaseLanguageModel|llm|LLMChain-e2dhN",
+                "style": {
+                    "stroke": "#555"
+                },
+                "className": "",
+                "animated": false,
+                "id": "reactflow__edge-ChatOpenAI-2I57fChatOpenAI|ChatOpenAI-2I57f|BaseChatModel|ChatOpenAI|BaseLanguageModel|BaseLLM-LLMChain-e2dhNBaseLanguageModel|llm|LLMChain-e2dhN"
+            },
+            {
+                "source": "ChatInput-207IY",
+                "sourceHandle": "ChatInput|ChatInput-207IY|str",
+                "target": "PromptTemplate-IKKOx",
+                "targetHandle": "Document;BaseOutputParser;str|input|PromptTemplate-IKKOx",
+                "style": {
+                    "stroke": "#555"
+                },
+                "className": "",
+                "animated": false,
+                "id": "reactflow__edge-ChatInput-207IYChatInput|ChatInput-207IY|str-PromptTemplate-IKKOxDocument;BaseOutputParser;str|input|PromptTemplate-IKKOx"
+            },
+            {
+                "source": "LLMChain-e2dhN",
+                "sourceHandle": "LLMChain|LLMChain-e2dhN|Chain|LLMChain|function|Text",
+                "target": "ChatOutput-1jlJy",
+                "targetHandle": "Text|message|ChatOutput-1jlJy",
+                "style": {
+                    "stroke": "#555"
+                },
+                "className": "stroke-foreground  stroke-connection",
+                "animated": true,
+                "id": "reactflow__edge-LLMChain-e2dhNLLMChain|LLMChain-e2dhN|Chain|LLMChain|function|Text-ChatOutput-1jlJyText|message|ChatOutput-1jlJy"
+            }
+        ],
+        "viewport": {
+            "x": -141.98308184453367,
+            "y": -104.98637616656356,
+            "zoom": 0.4788209787464315
+        }
+    },
+    "id": "b3388ab9-b5dc-4447-b560-79caef40faa5",
+    "user_id": "c65bfea3-3eea-4e71-8fc4-106238eb0583"
+}
\ No newline at end of file
diff --git a/tests/data/TwoOutputsTest.json b/tests/data/TwoOutputsTest.json
new file mode 100644
index 00000000000..4cd06024960
--- /dev/null
+++ b/tests/data/TwoOutputsTest.json
@@ -0,0 +1,1024 @@
+{
+    "name": "TwoOutputsTest",
+    "description": "",
+    "data": {
+        "nodes": [
+            {
+                "width": 384,
+                "height": 359,
+                "id": "PromptTemplate-CweKz",
+                "type": "genericNode",
+                "position": {
+                    "x": 969.6448076246203,
+                    "y": 528.7788853763968
+                },
+                "data": {
+                    "type": "PromptTemplate",
+                    "node": {
+                        "template": {
+                            "output_parser": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "password": false,
+                                "name": "output_parser",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "BaseOutputParser",
+                                "list": false
+                            },
+                            "input_variables": {
+                                "required": true,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "password": false,
+                                "name": "input_variables",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "str",
+                                "list": true,
+                                "value": [
+                                    "input"
+                                ]
+                            },
+                            "partial_variables": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "password": false,
+                                "name": "partial_variables",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "code",
+                                "list": false
+                            },
+                            "template": {
+                                "required": true,
+                                "placeholder": "",
+                                "show": true,
+                                "multiline": true,
+                                "password": false,
+                                "name": "template",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "prompt",
+                                "list": false,
+                                "value": "Input: {input}\nAI:"
+                            },
+                            "template_format": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "value": "f-string",
+                                "password": false,
+                                "name": "template_format",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "str",
+                                "list": false
+                            },
+                            "validate_template": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "value": true,
+                                "password": false,
+                                "name": "validate_template",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "bool",
+                                "list": false
+                            },
+                            "_type": "PromptTemplate",
+                            "input": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": true,
+                                "multiline": true,
+                                "value": "",
+                                "password": false,
+                                "name": "input",
+                                "display_name": "input",
+                                "advanced": false,
+                                "input_types": [
+                                    "Document",
+                                    "BaseOutputParser",
+                                    "str"
+                                ],
+                                "dynamic": false,
+                                "info": "",
+                                "type": "str",
+                                "list": false
+                            }
+                        },
+                        "description": "A prompt template for a language model.",
+                        "base_classes": [
+                            "BasePromptTemplate",
+                            "StringPromptTemplate",
+                            "PromptTemplate"
+                        ],
+                        "name": "",
+                        "display_name": "PromptTemplate",
+                        "documentation": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/",
+                        "custom_fields": {
+                            "": [
+                                "input"
+                            ],
+                            "template": [
+                                "input"
+                            ]
+                        },
+                        "output_types": [],
+                        "field_formatters": {
+                            "formatters": {
+                                "openai_api_key": {}
+                            },
+                            "base_formatters": {
+                                "kwargs": {},
+                                "optional": {},
+                                "list": {},
+                                "dict": {},
+                                "union": {},
+                                "multiline": {},
+                                "show": {},
+                                "password": {},
+                                "default": {},
+                                "headers": {},
+                                "dict_code_file": {},
+                                "model_fields": {
+                                    "MODEL_DICT": {
+                                        "OpenAI": [
+                                            "text-davinci-003",
+                                            "text-davinci-002",
+                                            "text-curie-001",
+                                            "text-babbage-001",
+                                            "text-ada-001"
+                                        ],
+                                        "ChatOpenAI": [
+                                            "gpt-3.5-turbo-0613",
+                                            "gpt-3.5-turbo",
+                                            "gpt-3.5-turbo-16k-0613",
+                                            "gpt-3.5-turbo-16k",
+                                            "gpt-4-0613",
+                                            "gpt-4-32k-0613",
+                                            "gpt-4",
+                                            "gpt-4-32k"
+                                        ],
+                                        "Anthropic": [
+                                            "claude-v1",
+                                            "claude-v1-100k",
+                                            "claude-instant-v1",
+                                            "claude-instant-v1-100k",
+                                            "claude-v1.3",
+                                            "claude-v1.3-100k",
+                                            "claude-v1.2",
+                                            "claude-v1.0",
+                                            "claude-instant-v1.1",
+                                            "claude-instant-v1.1-100k",
+                                            "claude-instant-v1.0"
+                                        ],
+                                        "ChatAnthropic": [
+                                            "claude-v1",
+                                            "claude-v1-100k",
+                                            "claude-instant-v1",
+                                            "claude-instant-v1-100k",
+                                            "claude-v1.3",
+                                            "claude-v1.3-100k",
+                                            "claude-v1.2",
+                                            "claude-v1.0",
+                                            "claude-instant-v1.1",
+                                            "claude-instant-v1.1-100k",
+                                            "claude-instant-v1.0"
+                                        ]
+                                    }
+                                }
+                            }
+                        },
+                        "beta": false,
+                        "error": null
+                    },
+                    "id": "PromptTemplate-CweKz"
+                },
+                "selected": false,
+                "positionAbsolute": {
+                    "x": 969.6448076246203,
+                    "y": 528.7788853763968
+                }
+            },
+            {
+                "width": 384,
+                "height": 307,
+                "id": "LLMChain-HUM6g",
+                "type": "genericNode",
+                "position": {
+                    "x": 1515.3241458756393,
+                    "y": 732.4536491407735
+                },
+                "data": {
+                    "type": "LLMChain",
+                    "node": {
+                        "template": {
+                            "callbacks": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "password": false,
+                                "name": "callbacks",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "langchain.callbacks.base.BaseCallbackHandler",
+                                "list": true
+                            },
+                            "llm": {
+                                "required": true,
+                                "placeholder": "",
+                                "show": true,
+                                "multiline": false,
+                                "password": false,
+                                "name": "llm",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "BaseLanguageModel",
+                                "list": false
+                            },
+                            "memory": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": true,
+                                "multiline": false,
+                                "password": false,
+                                "name": "memory",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "BaseMemory",
+                                "list": false
+                            },
+                            "output_parser": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "password": false,
+                                "name": "output_parser",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "BaseLLMOutputParser",
+                                "list": false
+                            },
+                            "prompt": {
+                                "required": true,
+                                "placeholder": "",
+                                "show": true,
+                                "multiline": false,
+                                "password": false,
+                                "name": "prompt",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "BasePromptTemplate",
+                                "list": false
+                            },
+                            "llm_kwargs": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "password": false,
+                                "name": "llm_kwargs",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "code",
+                                "list": false
+                            },
+                            "metadata": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "password": false,
+                                "name": "metadata",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "code",
+                                "list": false
+                            },
+                            "output_key": {
+                                "required": true,
+                                "placeholder": "",
+                                "show": true,
+                                "multiline": false,
+                                "value": "text",
+                                "password": false,
+                                "name": "output_key",
+                                "advanced": true,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "str",
+                                "list": false
+                            },
+                            "return_final_only": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "value": true,
+                                "password": false,
+                                "name": "return_final_only",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "bool",
+                                "list": false
+                            },
+                            "tags": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "password": false,
+                                "name": "tags",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "str",
+                                "list": true
+                            },
+                            "verbose": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "value": false,
+                                "password": false,
+                                "name": "verbose",
+                                "advanced": true,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "bool",
+                                "list": false
+                            },
+                            "_type": "LLMChain"
+                        },
+                        "description": "Chain to run queries against LLMs.",
+                        "base_classes": [
+                            "LLMChain",
+                            "Chain",
+                            "function",
+                            "Text"
+                        ],
+                        "display_name": "LLMChain",
+                        "custom_fields": {},
+                        "output_types": [],
+                        "documentation": "https://python.langchain.com/docs/modules/chains/foundational/llm_chain",
+                        "beta": false,
+                        "error": null
+                    },
+                    "id": "LLMChain-HUM6g"
+                },
+                "selected": false,
+                "positionAbsolute": {
+                    "x": 1515.3241458756393,
+                    "y": 732.4536491407735
+                },
+                "dragging": false
+            },
+            {
+                "width": 384,
+                "height": 621,
+                "id": "ChatOpenAI-02kOF",
+                "type": "genericNode",
+                "position": {
+                    "x": 483,
+                    "y": 942.8665628296949
+                },
+                "data": {
+                    "type": "ChatOpenAI",
+                    "node": {
+                        "template": {
+                            "callbacks": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "password": false,
+                                "name": "callbacks",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "langchain.callbacks.base.BaseCallbackHandler",
+                                "list": true
+                            },
+                            "cache": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "password": false,
+                                "name": "cache",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "bool",
+                                "list": false
+                            },
+                            "client": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "password": false,
+                                "name": "client",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "Any",
+                                "list": false
+                            },
+                            "max_retries": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "value": 6,
+                                "password": false,
+                                "name": "max_retries",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "int",
+                                "list": false
+                            },
+                            "max_tokens": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": true,
+                                "multiline": false,
+                                "password": true,
+                                "name": "max_tokens",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "int",
+                                "list": false,
+                                "value": ""
+                            },
+                            "metadata": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "password": false,
+                                "name": "metadata",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "code",
+                                "list": false
+                            },
+                            "model_kwargs": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": true,
+                                "multiline": false,
+                                "password": false,
+                                "name": "model_kwargs",
+                                "advanced": true,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "code",
+                                "list": false
+                            },
+                            "model_name": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": true,
+                                "multiline": false,
+                                "value": "gpt-3.5-turbo-0613",
+                                "password": false,
+                                "options": [
+                                    "gpt-3.5-turbo-0613",
+                                    "gpt-3.5-turbo",
+                                    "gpt-3.5-turbo-16k-0613",
+                                    "gpt-3.5-turbo-16k",
+                                    "gpt-4-0613",
+                                    "gpt-4-32k-0613",
+                                    "gpt-4",
+                                    "gpt-4-32k"
+                                ],
+                                "name": "model_name",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "str",
+                                "list": true
+                            },
+                            "n": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "value": 1,
+                                "password": false,
+                                "name": "n",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "int",
+                                "list": false
+                            },
+                            "openai_api_base": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": true,
+                                "multiline": false,
+                                "password": false,
+                                "name": "openai_api_base",
+                                "display_name": "OpenAI API Base",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\n",
+                                "type": "str",
+                                "list": false
+                            },
+                            "openai_api_key": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": true,
+                                "multiline": false,
+                                "value": "",
+                                "password": true,
+                                "name": "openai_api_key",
+                                "display_name": "OpenAI API Key",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "str",
+                                "list": false
+                            },
+                            "openai_organization": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "password": false,
+                                "name": "openai_organization",
+                                "display_name": "OpenAI Organization",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "str",
+                                "list": false
+                            },
+                            "openai_proxy": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "password": false,
+                                "name": "openai_proxy",
+                                "display_name": "OpenAI Proxy",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "str",
+                                "list": false
+                            },
+                            "request_timeout": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "password": false,
+                                "name": "request_timeout",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "float",
+                                "list": false
+                            },
+                            "streaming": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "value": false,
+                                "password": false,
+                                "name": "streaming",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "bool",
+                                "list": false
+                            },
+                            "tags": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "password": false,
+                                "name": "tags",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "str",
+                                "list": true
+                            },
+                            "temperature": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": true,
+                                "multiline": false,
+                                "value": 0.7,
+                                "password": false,
+                                "name": "temperature",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "float",
+                                "list": false
+                            },
+                            "tiktoken_model_name": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "password": false,
+                                "name": "tiktoken_model_name",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "str",
+                                "list": false
+                            },
+                            "verbose": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": false,
+                                "value": false,
+                                "password": false,
+                                "name": "verbose",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "bool",
+                                "list": false
+                            },
+                            "_type": "ChatOpenAI"
+                        },
+                        "description": "`OpenAI` Chat large language models API.",
+                        "base_classes": [
+                            "ChatOpenAI",
+                            "BaseLanguageModel",
+                            "BaseChatModel",
+                            "BaseLLM"
+                        ],
+                        "display_name": "ChatOpenAI",
+                        "custom_fields": {},
+                        "output_types": [],
+                        "documentation": "https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai",
+                        "beta": false,
+                        "error": null
+                    },
+                    "id": "ChatOpenAI-02kOF"
+                },
+                "selected": false,
+                "positionAbsolute": {
+                    "x": 483,
+                    "y": 942.8665628296949
+                }
+            },
+            {
+                "width": 384,
+                "height": 389,
+                "id": "ChatOutput-8SWFf",
+                "type": "genericNode",
+                "position": {
+                    "x": 2035.5749798606498,
+                    "y": 651.0174452514373
+                },
+                "data": {
+                    "type": "ChatOutput",
+                    "node": {
+                        "template": {
+                            "code": {
+                                "dynamic": true,
+                                "required": true,
+                                "placeholder": "",
+                                "show": true,
+                                "multiline": true,
+                                "value": "from typing import Optional\nfrom langflow.api.v1.schemas import ChatMessage\nfrom langflow.services.utils import get_chat_manager\nfrom langflow.custom import CustomComponent\nfrom anyio.from_thread import start_blocking_portal\nfrom loguru import logger\nfrom langflow.field_typing import Text\n\n\nclass ChatOutput(CustomComponent):\n    display_name = \"Chat Output\"\n\n    def build_config(self):\n        return {\"message\": {\"input_types\": [\"str\"]}}\n\n    def build(self, message: Optional[Text], is_ai: bool = False) -> Text:\n        if not message:\n            return \"\"\n        try:\n            chat_manager = get_chat_manager()\n            chat_message = ChatMessage(message=message, is_bot=is_ai)\n            # send_message is a coroutine\n            # run in a thread safe manner\n            with start_blocking_portal() as portal:\n                portal.call(chat_manager.send_message, chat_message)\n            chat_manager.chat_history.add_message(\n                chat_manager.cache_manager.current_client_id, chat_message\n            )\n        except Exception as exc:\n            logger.exception(exc)\n            logger.debug(f\"Error sending message to chat: {exc}\")\n\n        return message\n",
+                                "password": false,
+                                "name": "code",
+                                "advanced": false,
+                                "type": "code",
+                                "list": false
+                            },
+                            "_type": "CustomComponent",
+                            "is_ai": {
+                                "required": true,
+                                "placeholder": "",
+                                "show": true,
+                                "multiline": false,
+                                "value": false,
+                                "password": false,
+                                "name": "is_ai",
+                                "display_name": "is_ai",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "bool",
+                                "list": false
+                            },
+                            "message": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": true,
+                                "multiline": false,
+                                "password": false,
+                                "name": "message",
+                                "display_name": "message",
+                                "advanced": false,
+                                "input_types": [
+                                    "Text"
+                                ],
+                                "dynamic": false,
+                                "info": "",
+                                "type": "Text",
+                                "list": false
+                            }
+                        },
+                        "description": "Used to send a message to the chat.",
+                        "base_classes": [
+                            "str"
+                        ],
+                        "display_name": "Chat Output",
+                        "custom_fields": {
+                            "is_ai": null,
+                            "message": null
+                        },
+                        "output_types": [
+                            "ChatOutput"
+                        ],
+                        "documentation": "",
+                        "beta": true,
+                        "error": null
+                    },
+                    "id": "ChatOutput-8SWFf"
+                },
+                "selected": false,
+                "positionAbsolute": {
+                    "x": 2035.5749798606498,
+                    "y": 651.0174452514373
+                }
+            },
+            {
+                "width": 384,
+                "height": 273,
+                "id": "ChatInput-PqtHe",
+                "type": "genericNode",
+                "position": {
+                    "x": 504.7467002897712,
+                    "y": 388.46875
+                },
+                "data": {
+                    "type": "ChatInput",
+                    "node": {
+                        "template": {
+                            "code": {
+                                "dynamic": true,
+                                "required": true,
+                                "placeholder": "",
+                                "show": false,
+                                "multiline": true,
+                                "value": "from typing import Optional\nfrom langflow.custom import CustomComponent\n\n\nclass ChatInput(CustomComponent):\n    display_name = \"Chat Input\"\n\n    def build(self, message: Optional[str] = \"\") -> str:\n        return message\n",
+                                "password": false,
+                                "name": "code",
+                                "advanced": false,
+                                "type": "code",
+                                "list": false
+                            },
+                            "_type": "CustomComponent",
+                            "message": {
+                                "required": false,
+                                "placeholder": "",
+                                "show": true,
+                                "multiline": false,
+                                "value": "",
+                                "password": false,
+                                "name": "message",
+                                "display_name": "message",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "str",
+                                "list": false
+                            }
+                        },
+                        "description": "Used to get user input from the chat.",
+                        "base_classes": [
+                            "str"
+                        ],
+                        "display_name": "Chat Input",
+                        "custom_fields": {
+                            "message": null
+                        },
+                        "output_types": [
+                            "ChatInput"
+                        ],
+                        "documentation": "",
+                        "beta": true,
+                        "error": null
+                    },
+                    "id": "ChatInput-PqtHe"
+                },
+                "selected": false,
+                "positionAbsolute": {
+                    "x": 504.7467002897712,
+                    "y": 388.46875
+                }
+            },
+            {
+                "width": 384,
+                "height": 475,
+                "id": "Tool-jyI4N",
+                "type": "genericNode",
+                "position": {
+                    "x": 2044.485030617051,
+                    "y": 1131.4250055845532
+                },
+                "data": {
+                    "type": "Tool",
+                    "node": {
+                        "template": {
+                            "func": {
+                                "required": true,
+                                "placeholder": "",
+                                "show": true,
+                                "multiline": true,
+                                "password": false,
+                                "name": "func",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "function",
+                                "list": false
+                            },
+                            "description": {
+                                "required": true,
+                                "placeholder": "",
+                                "show": true,
+                                "multiline": true,
+                                "value": "Test tool",
+                                "password": false,
+                                "name": "description",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "str",
+                                "list": false
+                            },
+                            "name": {
+                                "required": true,
+                                "placeholder": "",
+                                "show": true,
+                                "multiline": true,
+                                "value": "Tool",
+                                "password": false,
+                                "name": "name",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "str",
+                                "list": false
+                            },
+                            "return_direct": {
+                                "required": true,
+                                "placeholder": "",
+                                "show": true,
+                                "multiline": false,
+                                "value": false,
+                                "password": false,
+                                "name": "return_direct",
+                                "advanced": false,
+                                "dynamic": false,
+                                "info": "",
+                                "type": "bool",
+                                "list": false
+                            },
+                            "_type": "Tool"
+                        },
+                        "description": "Converts a chain, agent or function into a tool.",
+                        "base_classes": [
+                            "Tool",
+                            "BaseTool"
+                        ],
+                        "display_name": "Tool",
+                        "custom_fields": {},
+                        "output_types": [],
+                        "documentation": "",
+                        "beta": false,
+                        "error": null
+                    },
+                    "id": "Tool-jyI4N"
+                },
+                "selected": true,
+                "positionAbsolute": {
+                    "x": 2044.485030617051,
+                    "y": 1131.4250055845532
+                },
+                "dragging": false
+            }
+        ],
+        "edges": [
+            {
+                "source": "PromptTemplate-CweKz",
+                "target": "LLMChain-HUM6g",
+                "sourceHandle": "PromptTemplate|PromptTemplate-CweKz|BasePromptTemplate|StringPromptTemplate|PromptTemplate",
+                "targetHandle": "BasePromptTemplate|prompt|LLMChain-HUM6g",
+                "id": "reactflow__edge-PromptTemplate-CweKzPromptTemplate|PromptTemplate-CweKz|BasePromptTemplate|StringPromptTemplate|PromptTemplate-LLMChain-HUM6gBasePromptTemplate|prompt|LLMChain-HUM6g",
+                "style": {
+                    "stroke": "#555"
+                },
+                "className": "stroke-gray-900 ",
+                "animated": false,
+                "selected": false
+            },
+            {
+                "source": "ChatOpenAI-02kOF",
+                "target": "LLMChain-HUM6g",
+                "sourceHandle": "ChatOpenAI|ChatOpenAI-02kOF|ChatOpenAI|BaseLanguageModel|BaseChatModel|BaseLLM",
+                "targetHandle": "BaseLanguageModel|llm|LLMChain-HUM6g",
+                "id": "reactflow__edge-ChatOpenAI-02kOFChatOpenAI|ChatOpenAI-02kOF|ChatOpenAI|BaseLanguageModel|BaseChatModel|BaseLLM-LLMChain-HUM6gBaseLanguageModel|llm|LLMChain-HUM6g",
+                "style": {
+                    "stroke": "#555"
+                },
+                "className": "stroke-gray-900 ",
+                "animated": false,
+                "selected": false
+            },
+            {
+                "source": "ChatInput-PqtHe",
+                "target": "PromptTemplate-CweKz",
+                "sourceHandle": "ChatInput|ChatInput-PqtHe|str",
+                "targetHandle": "Document;BaseOutputParser;str|input|PromptTemplate-CweKz",
+                "id": "reactflow__edge-ChatInput-PqtHeChatInput|ChatInput-PqtHe|str-PromptTemplate-CweKzDocument;BaseOutputParser;str|input|PromptTemplate-CweKz",
+                "style": {
+                    "stroke": "#555"
+                },
+                "className": "stroke-gray-900 ",
+                "animated": false,
+                "selected": false
+            },
+            {
+                "source": "LLMChain-HUM6g",
+                "sourceHandle": "LLMChain|LLMChain-HUM6g|LLMChain|Chain|function|Text",
+                "target": "ChatOutput-8SWFf",
+                "targetHandle": "Text|message|ChatOutput-8SWFf",
+                "style": {
+                    "stroke": "#555"
+                },
+                "className": "stroke-foreground  stroke-connection",
+                "animated": true,
+                "id": "reactflow__edge-LLMChain-HUM6gLLMChain|LLMChain-HUM6g|LLMChain|Chain|function|Text-ChatOutput-8SWFfText|message|ChatOutput-8SWFf"
+            },
+            {
+                "source": "LLMChain-HUM6g",
+                "sourceHandle": "LLMChain|LLMChain-HUM6g|LLMChain|Chain|function|Text",
+                "target": "Tool-jyI4N",
+                "targetHandle": "function|func|Tool-jyI4N",
+                "style": {
+                    "stroke": "#555"
+                },
+                "className": "stroke-foreground  stroke-connection",
+                "animated": false,
+                "id": "reactflow__edge-LLMChain-HUM6gLLMChain|LLMChain-HUM6g|LLMChain|Chain|function|Text-Tool-jyI4Nfunction|func|Tool-jyI4N"
+            }
+        ],
+        "viewport": {
+            "x": -401.32668426335044,
+            "y": -129.59138346130635,
+            "zoom": 0.5073779796520557
+        }
+    },
+    "id": "cf923ccb-e14c-4754-96eb-a8a3b5bbe082",
+    "user_id": "c65bfea3-3eea-4e71-8fc4-106238eb0583"
+}
\ No newline at end of file
diff --git a/tests/data/WebhookTest.json b/tests/data/WebhookTest.json
new file mode 100644
index 00000000000..fd63c53469a
--- /dev/null
+++ b/tests/data/WebhookTest.json
@@ -0,0 +1,228 @@
+{
+    "id": "40b2ae66-384b-4978-85ab-f79706287a1a",
+    "data": {
+        "nodes": [
+            {
+                "id": "CustomComponent-xbSW2",
+                "type": "genericNode",
+                "position": {
+                    "x": 888.0012384532345,
+                    "y": 274.9520639008431
+                },
+                "data": {
+                    "type": "CustomComponent",
+                    "node": {
+                        "template": {
+                            "_type": "Component",
+                            "code": {
+                                "type": "code",
+                                "required": true,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": true,
+                                "value": "# from langflow.field_typing import Data\nfrom langflow.custom import Component\nfrom langflow.io import StrInput\nfrom langflow.schema import Data\nfrom langflow.io import Output\n\n\nclass CustomComponent(Component):\n    display_name = \"Custom Component\"\n    description = \"Use as a template to create your own component.\"\n    documentation: str = \"http://docs.langflow.org/components/custom\"\n    icon = \"custom_components\"\n\n    inputs = [\n        StrInput(name=\"input_value\", display_name=\"Input Value\", value=\"Hello, World!\", input_types=[\"Data\"]),\n    ]\n\n    outputs = [\n        Output(display_name=\"Output\", name=\"output\", method=\"build_output\"),\n    ]\n\n    def build_output(self) -> Data:\n        if isinstance(self.input_value, Data):\n            data = self.input_value\n        else:\n            data = Data(value=self.input_value)\n            \n        if \"path\" in data:\n            path = self.resolve_path(data.path)\n            path_obj = Path(path)\n            with open(path, \"w\") as f:\n                f.write(data.model_dump())\n        self.status = data\n        return data\n",
+                                "fileTypes": [],
+                                "file_path": "",
+                                "password": false,
+                                "name": "code",
+                                "advanced": true,
+                                "dynamic": true,
+                                "info": "",
+                                "load_from_db": false,
+                                "title_case": false
+                            },
+                            "input_value": {
+                                "load_from_db": false,
+                                "list": false,
+                                "required": false,
+                                "placeholder": "",
+                                "show": true,
+                                "value": "",
+                                "name": "input_value",
+                                "display_name": "Input Value",
+                                "advanced": false,
+                                "input_types": [
+                                    "Data"
+                                ],
+                                "dynamic": false,
+                                "info": "",
+                                "title_case": false,
+                                "type": "str"
+                            }
+                        },
+                        "description": "Use as a template to create your own component.",
+                        "icon": "custom_components",
+                        "base_classes": [
+                            "Data"
+                        ],
+                        "display_name": "Custom Component",
+                        "documentation": "http://docs.langflow.org/components/custom",
+                        "custom_fields": {},
+                        "output_types": [],
+                        "pinned": false,
+                        "conditional_paths": [],
+                        "frozen": false,
+                        "outputs": [
+                            {
+                                "types": [
+                                    "Data"
+                                ],
+                                "selected": "Data",
+                                "name": "output",
+                                "display_name": "Output",
+                                "method": "build_output",
+                                "value": "__UNDEFINED__",
+                                "cache": true
+                            }
+                        ],
+                        "field_order": [
+                            "input_value"
+                        ],
+                        "beta": false,
+                        "edited": true
+                    },
+                    "id": "CustomComponent-xbSW2",
+                    "description": "Use as a template to create your own component.",
+                    "display_name": "Custom Component"
+                },
+                "selected": false,
+                "width": 384,
+                "height": 337,
+                "positionAbsolute": {
+                    "x": 888.0012384532345,
+                    "y": 274.9520639008431
+                },
+                "dragging": false
+            },
+            {
+                "id": "Webhook-eeCWO",
+                "type": "genericNode",
+                "position": {
+                    "x": 418,
+                    "y": 270.2890625
+                },
+                "data": {
+                    "type": "Webhook",
+                    "node": {
+                        "template": {
+                            "_type": "Component",
+                            "code": {
+                                "type": "code",
+                                "required": true,
+                                "placeholder": "",
+                                "list": false,
+                                "show": true,
+                                "multiline": true,
+                                "value": "import json\n\nfrom langflow.custom import Component\nfrom langflow.io import MultilineInput\nfrom langflow.schema import Data\nfrom langflow.io import Output\n\n\nclass WebhookComponent(Component):\n    display_name = \"Webhook Input\"\n    description = \"Defines a webhook input for the flow.\"\n\n    inputs = [\n        MultilineInput(\n            name=\"data\",\n            display_name=\"Data\",\n            info=\"Use this field to quickly test the webhook component by providing a JSON payload.\",\n            multiline=True,\n        )\n    ]\n    outputs = [\n        Output(display_name=\"Data\", name=\"output_data\", method=\"build_data\"),\n    ]\n\n    def build_data(self) -> Data:\n        message = \"\"\n        if not self.data:\n            self.status = \"No data provided.\"\n            return Data(data={})\n        try:\n            body = json.loads(self.data or \"{}\")\n        except json.JSONDecodeError:\n            body = {\"payload\": self.data}\n            message = f\"Invalid JSON payload. Please check the format.\\n\\n{self.data}\"\n        data = Data(data=body)\n        if not message:\n            message = data\n        self.status = message\n        return data\n",
+                                "fileTypes": [],
+                                "file_path": "",
+                                "password": false,
+                                "name": "code",
+                                "advanced": true,
+                                "dynamic": true,
+                                "info": "",
+                                "load_from_db": false,
+                                "title_case": false
+                            },
+                            "data": {
+                                "multiline": true,
+                                "load_from_db": false,
+                                "list": false,
+                                "required": false,
+                                "placeholder": "",
+                                "show": true,
+                                "value": "{\"test\":1}",
+                                "name": "data",
+                                "display_name": "Data",
+                                "advanced": false,
+                                "input_types": [
+                                    "Message"
+                                ],
+                                "dynamic": false,
+                                "info": "Use this field to quickly test the webhook component by providing a JSON payload.",
+                                "title_case": false,
+                                "type": "str"
+                            }
+                        },
+                        "description": "Defines a webhook input for the flow.",
+                        "base_classes": [
+                            "Data"
+                        ],
+                        "display_name": "Webhook Input",
+                        "documentation": "",
+                        "custom_fields": {},
+                        "output_types": [],
+                        "pinned": false,
+                        "conditional_paths": [],
+                        "frozen": false,
+                        "outputs": [
+                            {
+                                "types": [
+                                    "Data"
+                                ],
+                                "selected": "Data",
+                                "name": "output_data",
+                                "display_name": "Data",
+                                "method": "build_data",
+                                "value": "__UNDEFINED__",
+                                "cache": true,
+                                "hidden": false
+                            }
+                        ],
+                        "field_order": [
+                            "data"
+                        ],
+                        "beta": false
+                    },
+                    "id": "Webhook-eeCWO"
+                },
+                "selected": true,
+                "width": 384,
+                "height": 309,
+                "dragging": true,
+                "positionAbsolute": {
+                    "x": 418,
+                    "y": 270.2890625
+                }
+            }
+        ],
+        "edges": [
+            {
+                "source": "Webhook-eeCWO",
+                "sourceHandle": "{œdataTypeœ:œWebhookœ,œidœ:œWebhook-eeCWOœ,œnameœ:œoutput_dataœ,œoutput_typesœ:[œDataœ]}",
+                "target": "CustomComponent-xbSW2",
+                "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œCustomComponent-xbSW2œ,œinputTypesœ:[œDataœ],œtypeœ:œstrœ}",
+                "data": {
+                    "targetHandle": {
+                        "fieldName": "input_value",
+                        "id": "CustomComponent-xbSW2",
+                        "inputTypes": [
+                            "Data"
+                        ],
+                        "type": "str"
+                    },
+                    "sourceHandle": {
+                        "dataType": "Webhook",
+                        "id": "Webhook-eeCWO",
+                        "name": "output_data",
+                        "output_types": [
+                            "Data"
+                        ]
+                    }
+                },
+                "id": "reactflow__edge-Webhook-eeCWO{œdataTypeœ:œWebhookœ,œidœ:œWebhook-eeCWOœ,œnameœ:œoutput_dataœ,œoutput_typesœ:[œDataœ]}-CustomComponent-xbSW2{œfieldNameœ:œinput_valueœ,œidœ:œCustomComponent-xbSW2œ,œinputTypesœ:[œDataœ],œtypeœ:œstrœ}"
+            }
+        ],
+        "viewport": {
+            "x": -243,
+            "y": -16,
+            "zoom": 1
+        }
+    },
+    "description": "The Power of Language at Your Fingertips.",
+    "name": "Webhook Test",
+    "last_tested_version": "1.0.0a59",
+    "endpoint_name": "webhook-test",
+    "is_component": false
+}
\ No newline at end of file
diff --git a/tests/data/basic_example.json b/tests/data/basic_example.json
index 35f515bc498..e3a5141a6de 100644
--- a/tests/data/basic_example.json
+++ b/tests/data/basic_example.json
@@ -505,5 +505,6 @@
       "y": 0,
       "zoom": 0.5
     }
-  }
-}
\ No newline at end of file
+  },
+  "last_tested_version": "0.6.2"
+}
diff --git a/tests/data/component.py b/tests/data/component.py
index e801d2feb0a..5de63fcd5f4 100644
--- a/tests/data/component.py
+++ b/tests/data/component.py
@@ -1,6 +1,6 @@
 import random
 
-from langflow import CustomComponent
+from langflow.custom import CustomComponent
 
 
 class TestComponent(CustomComponent):
diff --git a/tests/data/component_multiple_outputs.py b/tests/data/component_multiple_outputs.py
new file mode 100644
index 00000000000..bb864aa0620
--- /dev/null
+++ b/tests/data/component_multiple_outputs.py
@@ -0,0 +1,20 @@
+from langflow.custom import Component
+from langflow.inputs.inputs import IntInput, MessageTextInput
+from langflow.template.field.base import Output
+
+
+class MultipleOutputsComponent(Component):
+    inputs = [
+        MessageTextInput(display_name="Input", name="input"),
+        IntInput(display_name="Number", name="number"),
+    ]
+    outputs = [
+        Output(display_name="Certain Output", name="certain_output", method="certain_output"),
+        Output(display_name="Other Output", name="other_output", method="other_output"),
+    ]
+
+    def certain_output(self) -> str:
+        return f"This is my string input: {self.input}"
+
+    def other_output(self) -> int:
+        return f"This is my int input multiplied by 2: {self.number * 2}"
diff --git a/tests/data/component_nested_call.py b/tests/data/component_nested_call.py
new file mode 100644
index 00000000000..5dd61c2bab3
--- /dev/null
+++ b/tests/data/component_nested_call.py
@@ -0,0 +1,22 @@
+from random import randint
+
+from langflow.custom import Component
+from langflow.inputs.inputs import IntInput, MessageTextInput
+from langflow.template.field.base import Output
+
+
+class MultipleOutputsComponent(Component):
+    inputs = [
+        MessageTextInput(display_name="Input", name="input"),
+        IntInput(display_name="Number", name="number"),
+    ]
+    outputs = [
+        Output(display_name="Certain Output", name="certain_output", method="certain_output"),
+        Output(display_name="Other Output", name="other_output", method="other_output"),
+    ]
+
+    def certain_output(self) -> int:
+        return randint(0, self.number)
+
+    def other_output(self) -> int:
+        return self.certain_output()
diff --git a/tests/data/component_with_templatefield.py b/tests/data/component_with_templatefield.py
index 6b2ce011b75..bc79c80d2ef 100644
--- a/tests/data/component_with_templatefield.py
+++ b/tests/data/component_with_templatefield.py
@@ -1,7 +1,7 @@
 import random
 
-from langflow import CustomComponent
-from langflow.field_typing import TemplateField
+from langflow.custom import CustomComponent
+from langflow.field_typing import Input
 
 
 class TestComponent(CustomComponent):
@@ -11,7 +11,7 @@ def refresh_values(self):
         return [f"Random {random.randint(1, 100)}" for _ in range(5)]
 
     def build_config(self):
-        return {"param": TemplateField(display_name="Param", options=self.refresh_values)}
+        return {"param": Input(display_name="Param", options=self.refresh_values)}
 
     def build(self, param: int):
         return param
diff --git a/tests/integration/__init__.py b/tests/integration/__init__.py
new file mode 100644
index 00000000000..e69de29bb2d
diff --git a/tests/integration/astra/__init__.py b/tests/integration/astra/__init__.py
new file mode 100644
index 00000000000..e69de29bb2d
diff --git a/tests/integration/astra/test_astra_component.py b/tests/integration/astra/test_astra_component.py
new file mode 100644
index 00000000000..d490b44fe48
--- /dev/null
+++ b/tests/integration/astra/test_astra_component.py
@@ -0,0 +1,157 @@
+import os
+
+import pytest
+from langchain_core.documents import Document
+from langflow.components.memories.AstraDBMessageReader import AstraDBMessageReaderComponent
+from langflow.components.memories.AstraDBMessageWriter import AstraDBMessageWriterComponent
+from langflow.components.vectorstores.AstraDB import AstraVectorStoreComponent
+from langflow.schema.data import Data
+
+from integration.utils import MockEmbeddings, check_env_vars
+
+COLLECTION = "test_basic"
+SEARCH_COLLECTION = "test_search"
+MEMORY_COLLECTION = "test_memory"
+
+
+@pytest.fixture()
+def astra_fixture(request):
+    """
+    Sets up the astra collection and cleans up after
+    """
+    try:
+        from langchain_astradb import AstraDBVectorStore
+    except ImportError:
+        raise ImportError(
+            "Could not import langchain Astra DB integration package. Please install it with `pip install langchain-astradb`."
+        )
+
+    store = AstraDBVectorStore(
+        collection_name=request.param,
+        embedding=MockEmbeddings(),
+        api_endpoint=os.getenv("ASTRA_DB_API_ENDPOINT"),
+        token=os.getenv("ASTRA_DB_APPLICATION_TOKEN"),
+    )
+
+    yield
+
+    store.delete_collection()
+
+
+@pytest.mark.skipif(
+    not check_env_vars("ASTRA_DB_APPLICATION_TOKEN", "ASTRA_DB_API_ENDPOINT"),
+    reason="missing astra env vars",
+)
+@pytest.mark.parametrize("astra_fixture", [COLLECTION], indirect=True)
+def test_astra_setup(astra_fixture):
+    application_token = os.getenv("ASTRA_DB_APPLICATION_TOKEN")
+    api_endpoint = os.getenv("ASTRA_DB_API_ENDPOINT")
+    embedding = MockEmbeddings()
+
+    component = AstraVectorStoreComponent()
+    component.build(
+        token=application_token,
+        api_endpoint=api_endpoint,
+        collection_name=COLLECTION,
+        embedding=embedding,
+    )
+    component.build_vector_store()
+
+
+@pytest.mark.skipif(
+    not check_env_vars("ASTRA_DB_APPLICATION_TOKEN", "ASTRA_DB_API_ENDPOINT"),
+    reason="missing astra env vars",
+)
+@pytest.mark.parametrize("astra_fixture", [SEARCH_COLLECTION], indirect=True)
+def test_astra_embeds_and_search(astra_fixture):
+    application_token = os.getenv("ASTRA_DB_APPLICATION_TOKEN")
+    api_endpoint = os.getenv("ASTRA_DB_API_ENDPOINT")
+    embedding = MockEmbeddings()
+
+    documents = [Document(page_content="test1"), Document(page_content="test2")]
+    records = [Data.from_document(d) for d in documents]
+
+    component = AstraVectorStoreComponent()
+    component.build(
+        token=application_token,
+        api_endpoint=api_endpoint,
+        collection_name=SEARCH_COLLECTION,
+        embedding=embedding,
+        inputs=records,
+        add_to_vector_store=True,
+    )
+    component.build_vector_store()
+
+    component.build(
+        token=application_token,
+        api_endpoint=api_endpoint,
+        collection_name=SEARCH_COLLECTION,
+        embedding=embedding,
+        input_value="test1",
+        number_of_results=1,
+    )
+    records = component.search_documents()
+
+    assert len(records) == 1
+
+
+@pytest.mark.skipif(
+    not check_env_vars("ASTRA_DB_APPLICATION_TOKEN", "ASTRA_DB_API_ENDPOINT"),
+    reason="missing astra env vars",
+)
+def test_astra_memory():
+    application_token = os.getenv("ASTRA_DB_APPLICATION_TOKEN")
+    api_endpoint = os.getenv("ASTRA_DB_API_ENDPOINT")
+
+    writer = AstraDBMessageWriterComponent()
+    reader = AstraDBMessageReaderComponent()
+
+    input_value = Data.from_document(
+        Document(
+            page_content="memory1",
+            metadata={"session_id": 1, "sender": "human", "sender_name": "Bob"},
+        )
+    )
+    writer.build(
+        input_value=input_value,
+        session_id=1,
+        token=application_token,
+        api_endpoint=api_endpoint,
+        collection_name=MEMORY_COLLECTION,
+    )
+
+    # verify reading w/ same session id pulls the same record
+    records = reader.build(
+        session_id=1,
+        token=application_token,
+        api_endpoint=api_endpoint,
+        collection_name=MEMORY_COLLECTION,
+    )
+    assert len(records) == 1
+    assert isinstance(records[0], Data)
+    content = records[0].get_text()
+    assert content == "memory1"
+
+    # verify reading w/ different session id does not pull the same record
+    records = reader.build(
+        session_id=2,
+        token=application_token,
+        api_endpoint=api_endpoint,
+        collection_name=MEMORY_COLLECTION,
+    )
+    assert len(records) == 0
+
+    # Cleanup store - doing here rather than fixture (see https://github.com/langchain-ai/langchain-datastax/pull/36)
+    try:
+        from langchain_astradb import AstraDBVectorStore
+    except ImportError:
+        raise ImportError(
+            "Could not import langchain Astra DB integration package. Please install it with `pip install langchain-astradb`."
+        )
+    store = AstraDBVectorStore(
+        collection_name=MEMORY_COLLECTION,
+        embedding=MockEmbeddings(),
+        api_endpoint=api_endpoint,
+        token=application_token,
+    )
+    store.delete_collection()
diff --git a/tests/integration/utils.py b/tests/integration/utils.py
new file mode 100644
index 00000000000..5895debd058
--- /dev/null
+++ b/tests/integration/utils.py
@@ -0,0 +1,35 @@
+import os
+from typing import List
+
+from langflow.field_typing import Embeddings
+
+
+def check_env_vars(*vars):
+    """
+    Check if all specified environment variables are set.
+
+    Args:
+    *vars (str): The environment variables to check.
+
+    Returns:
+    bool: True if all environment variables are set, False otherwise.
+    """
+    return all(os.getenv(var) for var in vars)
+
+
+class MockEmbeddings(Embeddings):
+    def __init__(self):
+        self.embedded_documents = None
+        self.embedded_query = None
+
+    @staticmethod
+    def mock_embedding(text: str):
+        return [len(text) / 2, len(text) / 5, len(text) / 10]
+
+    def embed_documents(self, texts: List[str]) -> List[List[float]]:
+        self.embedded_documents = texts
+        return [self.mock_embedding(text) for text in texts]
+
+    def embed_query(self, text: str) -> List[float]:
+        self.embedded_query = text
+        return self.mock_embedding(text)
diff --git a/tests/test_cache_manager.py b/tests/test_cache_manager.py
deleted file mode 100644
index bbc94d9fb3f..00000000000
--- a/tests/test_cache_manager.py
+++ /dev/null
@@ -1,82 +0,0 @@
-from io import StringIO
-
-import pandas as pd
-import pytest
-from langflow.services.chat.cache import CacheService
-from PIL import Image
-
-
-@pytest.fixture
-def cache_service():
-    return CacheService()
-
-
-def test_cache_service_attach_detach_notify(cache_service):
-    observer_called = False
-
-    def observer():
-        nonlocal observer_called
-        observer_called = True
-
-    cache_service.attach(observer)
-    cache_service.notify()
-
-    assert observer_called
-
-    observer_called = False
-    cache_service.detach(observer)
-    cache_service.notify()
-
-    assert not observer_called
-
-
-def test_cache_service_client_context(cache_service):
-    with cache_service.set_client_id("client1"):
-        cache_service.add("foo", "bar", "string")
-        assert cache_service.get("foo") == {
-            "obj": "bar",
-            "type": "string",
-            "extension": "str",
-        }
-
-    with cache_service.set_client_id("client2"):
-        cache_service.add("baz", "qux", "string")
-        assert cache_service.get("baz") == {
-            "obj": "qux",
-            "type": "string",
-            "extension": "str",
-        }
-
-    with pytest.raises(KeyError):
-        cache_service.get("foo")
-
-
-def test_cache_service_add_pandas(cache_service):
-    df = pd.DataFrame({"col1": [1, 2], "col2": [3, 4]})
-
-    with cache_service.set_client_id("client1"):
-        cache_service.add_pandas("test_df", df)
-        cached_df = cache_service.get("test_df")
-        assert cached_df["type"] == "pandas"
-        assert cached_df["extension"] == "csv"
-        read_df = pd.read_csv(StringIO(cached_df["obj"]), index_col=0)
-        pd.testing.assert_frame_equal(df, read_df)
-
-
-def test_cache_service_add_image(cache_service):
-    img = Image.new("RGB", (50, 50), color="red")
-
-    with cache_service.set_client_id("client1"):
-        cache_service.add_image("test_image", img)
-        cached_img = cache_service.get("test_image")
-        assert cached_img["type"] == "image"
-        assert cached_img["extension"] == "png"
-        assert isinstance(cached_img["obj"], Image.Image)
-
-
-def test_cache_service_get_last(cache_service):
-    with cache_service.set_client_id("client1"):
-        cache_service.add("foo", "bar", "string")
-        cache_service.add("baz", "qux", "string")
-        last_item = cache_service.get_last()
-        assert last_item == {"obj": "qux", "type": "string", "extension": "str"}
diff --git a/tests/test_creators.py b/tests/test_creators.py
deleted file mode 100644
index 177dd41053a..00000000000
--- a/tests/test_creators.py
+++ /dev/null
@@ -1,52 +0,0 @@
-from typing import Dict, List
-
-import pytest
-from langflow.interface.agents.base import AgentCreator
-from langflow.interface.base import LangChainTypeCreator
-
-
-@pytest.fixture
-def sample_lang_chain_type_creator() -> LangChainTypeCreator:
-    class SampleLangChainTypeCreator(LangChainTypeCreator):
-        type_name: str = "test_type"
-
-        def type_to_loader_dict(self) -> Dict:  # type: ignore
-            return {"test_type": "TestClass"}
-
-        def to_list(self) -> List[str]:
-            return ["node1", "node2"]
-
-        def get_signature(self, name: str) -> Dict:
-            return {
-                "template": {"test_field": {"type": "str"}},
-                "description": "test description",
-                "base_classes": ["base_class1", "base_class2"],
-            }
-
-    return SampleLangChainTypeCreator()
-
-
-@pytest.fixture
-def sample_agent_creator() -> AgentCreator:
-    return AgentCreator()
-
-
-def test_lang_chain_type_creator_to_dict(
-    client,
-    sample_lang_chain_type_creator: LangChainTypeCreator,
-):
-    type_dict = sample_lang_chain_type_creator.to_dict()
-
-    assert len(type_dict) == 1
-    assert "test_type" in type_dict
-    assert "node1" in type_dict["test_type"]
-    assert "node2" in type_dict["test_type"]
-    assert "template" in type_dict["test_type"]["node1"]
-    assert "description" in type_dict["test_type"]["node1"]
-    assert "base_classes" in type_dict["test_type"]["node1"]
-
-
-def test_agent_creator_type_to_loader_dict(sample_agent_creator: AgentCreator):
-    type_to_loader_dict = sample_agent_creator.type_to_loader_dict
-    assert len(type_to_loader_dict) > 0
-    assert "JsonAgent"
diff --git a/tests/test_custom_types.py b/tests/test_custom_types.py
deleted file mode 100644
index ba54b702361..00000000000
--- a/tests/test_custom_types.py
+++ /dev/null
@@ -1,33 +0,0 @@
-# Test this:
-from langflow.interface.importing.utils import get_function
-import pytest
-from langflow.interface.tools.custom import PythonFunctionTool, PythonFunction
-from langflow.utils import constants
-
-
-def test_python_function_tool():
-    """Test Python function"""
-    code = constants.DEFAULT_PYTHON_FUNCTION
-    func = get_function(code)
-    func = PythonFunctionTool(name="Test", description="Testing", code=code, func=func)
-    assert func("text") == "text"
-    # the tool decorator should raise an error if
-    # the function is not str -> str
-
-    # This raises ValidationError
-    with pytest.raises(SyntaxError):
-        code = pytest.CODE_WITH_SYNTAX_ERROR
-        func = get_function(code)
-        func = PythonFunctionTool(name="Test", description="Testing", code=code, func=func)
-
-
-def test_python_function():
-    """Test Python function"""
-    func = PythonFunction(code=constants.DEFAULT_PYTHON_FUNCTION)
-    assert get_function(func.code)("text") == "text"
-    # the tool decorator should raise an error if
-    # the function is not str -> str
-
-    # This raises ValidationError
-    with pytest.raises(SyntaxError):
-        func = PythonFunction(code=pytest.CODE_WITH_SYNTAX_ERROR)
diff --git a/tests/test_embeddings_template.py b/tests/test_embeddings_template.py
deleted file mode 100644
index 7334c2abd5e..00000000000
--- a/tests/test_embeddings_template.py
+++ /dev/null
@@ -1,59 +0,0 @@
-from langflow.template.field.base import TemplateField
-from langflow.template.frontend_node.embeddings import EmbeddingFrontendNode
-
-
-def test_format_jina_fields():
-    field = TemplateField(name="jina")
-    EmbeddingFrontendNode.format_jina_fields(field)
-    assert field.show is True
-    assert field.advanced is False
-
-    field = TemplateField(name="auth")
-    EmbeddingFrontendNode.format_jina_fields(field)
-    assert field.password is True
-    assert field.show is True
-    assert field.advanced is False
-
-    field = TemplateField(name="jina_api_url")
-    EmbeddingFrontendNode.format_jina_fields(field)
-    assert field.show is True
-    assert field.advanced is True
-    assert field.display_name == "Jina API URL"
-    assert field.password is False
-
-
-def test_format_openai_fields():
-    field = TemplateField(name="openai")
-    EmbeddingFrontendNode.format_openai_fields(field)
-    assert field.show is True
-    assert field.advanced is True
-    assert field.display_name == "OpenAI"
-
-    field = TemplateField(name="openai_api_key")
-    EmbeddingFrontendNode.format_openai_fields(field)
-    assert field.password is True
-    assert field.show is True
-    assert field.advanced is False
-
-
-def test_format_field():
-    field = TemplateField(name="headers")
-    EmbeddingFrontendNode.format_field(field)
-    assert field.show is False
-
-    field = TemplateField(name="jina")
-    EmbeddingFrontendNode.format_field(field)
-    assert field.advanced is False
-    assert field.show is True
-
-    field = TemplateField(name="openai")
-    EmbeddingFrontendNode.format_field(field)
-    assert field.advanced is True
-    assert field.show is True
-    assert field.display_name == "OpenAI"
-
-    field = TemplateField(name="test_field", required=True)
-    EmbeddingFrontendNode.format_field(field)
-    assert field.advanced is False
-    assert field.show is True
-    assert field.required is True
diff --git a/tests/test_endpoints.py b/tests/test_endpoints.py
index 2d8f4159758..510d4a428ac 100644
--- a/tests/test_endpoints.py
+++ b/tests/test_endpoints.py
@@ -1,17 +1,12 @@
 import time
-import uuid
-from collections import namedtuple
+from uuid import UUID, uuid4
 
 import pytest
+from fastapi import status
 from fastapi.testclient import TestClient
 
-from langflow.interface.tools.constants import CUSTOM_TOOLS
-from langflow.processing.process import Result
-from langflow.services.auth.utils import get_password_hash
-from langflow.services.database.models.api_key.model import ApiKey
-from langflow.services.database.utils import session_getter
-from langflow.services.deps import get_db_service, get_settings_service
-from langflow.template.frontend_node.chains import TimeTravelGuideChainNode
+from langflow.custom.directory_reader.directory_reader import DirectoryReader
+from langflow.services.deps import get_settings_service
 
 
 def run_post(client, flow_id, headers, post_data):
@@ -25,7 +20,7 @@ def run_post(client, flow_id, headers, post_data):
 
 
 # Helper function to poll task status
-def poll_task_status(client, headers, href, max_attempts=20, sleep_time=2):
+def poll_task_status(client, headers, href, max_attempts=20, sleep_time=1):
     for _ in range(max_attempts):
         task_status_response = client.get(
             href,
@@ -114,184 +109,173 @@ def poll_task_status(client, headers, href, max_attempts=20, sleep_time=2):
 }
 
 
-@pytest.fixture
-def created_api_key(active_user):
-    hashed = get_password_hash("random_key")
-    api_key = ApiKey(
-        name="test_api_key",
-        user_id=active_user.id,
-        api_key="random_key",
-        hashed_api_key=hashed,
-    )
-    db_manager = get_db_service()
-    with session_getter(db_manager) as session:
-        if existing_api_key := session.query(ApiKey).filter(ApiKey.api_key == api_key.api_key).first():
-            return existing_api_key
-        session.add(api_key)
-        session.commit()
-        session.refresh(api_key)
-    return api_key
+# def test_process_flow_invalid_api_key(client, flow, monkeypatch):
+#     # Mock de process_graph_cached
+#     from langflow.api.v1 import endpoints
+#     from langflow.services.database.models.api_key import crud
 
+#     settings_service = get_settings_service()
+#     settings_service.auth_settings.AUTO_LOGIN = False
 
-def test_process_flow_invalid_api_key(client, flow, monkeypatch):
-    # Mock de process_graph_cached
-    from langflow.api.v1 import endpoints
-    from langflow.services.database.models.api_key import crud
+#     async def mock_process_graph_cached(*args, **kwargs):
+#         return Result(result={}, session_id="session_id_mock")
 
-    settings_service = get_settings_service()
-    settings_service.auth_settings.AUTO_LOGIN = False
+#     def mock_update_total_uses(*args, **kwargs):
+#         return created_api_key
 
-    async def mock_process_graph_cached(*args, **kwargs):
-        return Result(result={}, session_id="session_id_mock")
+#     monkeypatch.setattr(endpoints, "process_graph_cached", mock_process_graph_cached)
+#     monkeypatch.setattr(crud, "update_total_uses", mock_update_total_uses)
 
-    def mock_update_total_uses(*args, **kwargs):
-        return created_api_key
+#     headers = {"x-api-key": "invalid_api_key"}
 
-    monkeypatch.setattr(endpoints, "process_graph_cached", mock_process_graph_cached)
-    monkeypatch.setattr(crud, "update_total_uses", mock_update_total_uses)
+#     post_data = {
+#         "inputs": {"key": "value"},
+#         "tweaks": None,
+#         "clear_cache": False,
+#         "session_id": None,
+#     }
 
-    headers = {"x-api-key": "invalid_api_key"}
+#     response = client.post(f"api/v1/process/{flow.id}", headers=headers, json=post_data)
 
-    post_data = {
-        "inputs": {"key": "value"},
-        "tweaks": None,
-        "clear_cache": False,
-        "session_id": None,
-    }
+#     assert response.status_code == 403
+#     assert response.json() == {"detail": "Invalid or missing API key"}
 
-    response = client.post(f"api/v1/process/{flow.id}", headers=headers, json=post_data)
 
-    assert response.status_code == 403
-    assert response.json() == {"detail": "Invalid or missing API key"}
+# def test_process_flow_invalid_id(client, monkeypatch, created_api_key):
+#     async def mock_process_graph_cached(*args, **kwargs):
+#         return Result(result={}, session_id="session_id_mock")
 
+#     from langflow.api.v1 import endpoints
 
-def test_process_flow_invalid_id(client, monkeypatch, created_api_key):
-    async def mock_process_graph_cached(*args, **kwargs):
-        return Result(result={}, session_id="session_id_mock")
+#     monkeypatch.setattr(endpoints, "process_graph_cached", mock_process_graph_cached)
 
-    from langflow.api.v1 import endpoints
+#     api_key = created_api_key.api_key
+#     headers = {"x-api-key": api_key}
 
-    monkeypatch.setattr(endpoints, "process_graph_cached", mock_process_graph_cached)
+#     post_data = {
+#         "inputs": {"key": "value"},
+#         "tweaks": None,
+#         "clear_cache": False,
+#         "session_id": None,
+#     }
 
-    api_key = created_api_key.api_key
-    headers = {"x-api-key": api_key}
+#     invalid_id = uuid.uuid4()
+#     response = client.post(f"api/v1/process/{invalid_id}", headers=headers, json=post_data)
 
-    post_data = {
-        "inputs": {"key": "value"},
-        "tweaks": None,
-        "clear_cache": False,
-        "session_id": None,
-    }
+#     assert response.status_code == 404
+#     assert f"Flow {invalid_id} not found" in response.json()["detail"]
 
-    invalid_id = uuid.uuid4()
-    response = client.post(f"api/v1/process/{invalid_id}", headers=headers, json=post_data)
-
-    assert response.status_code == 404
-    assert f"Flow {invalid_id} not found" in response.json()["detail"]
-
-
-def test_process_flow_without_autologin(client, flow, monkeypatch, created_api_key):
-    # Mock de process_graph_cached
-    from langflow.api.v1 import endpoints
-    from langflow.services.database.models.api_key import crud
-
-    settings_service = get_settings_service()
-    settings_service.auth_settings.AUTO_LOGIN = False
-
-    async def mock_process_graph_cached(*args, **kwargs):
-        return Result(result={}, session_id="session_id_mock")
-
-    def mock_process_graph_cached_task(*args, **kwargs):
-        return Result(result={}, session_id="session_id_mock")
-
-    # The task function is ran like this:
-    # if not self.use_celery:
-    #     return None, await task_func(*args, **kwargs)
-    # if not hasattr(task_func, "apply"):
-    #     raise ValueError(f"Task function {task_func} does not have an apply method")
-    # task = task_func.apply(args=args, kwargs=kwargs)
-    # result = task.get()
-    # return task.id, result
-    # So we need to mock the task function to return a task object
-    # and then mock the task object to return a result
-    # maybe a named tuple would be better here
-    task = namedtuple("task", ["id", "get"])
-    mock_process_graph_cached_task.apply = lambda *args, **kwargs: task(
-        id="task_id_mock", get=lambda: Result(result={}, session_id="session_id_mock")
-    )
 
-    def mock_update_total_uses(*args, **kwargs):
-        return created_api_key
+# def test_process_flow_without_autologin(client, flow, monkeypatch, created_api_key):
+#     # Mock de process_graph_cached
+#     from langflow.api.v1 import endpoints
+#     from langflow.services.database.models.api_key import crud
 
-    monkeypatch.setattr(endpoints, "process_graph_cached", mock_process_graph_cached)
-    monkeypatch.setattr(crud, "update_total_uses", mock_update_total_uses)
-    monkeypatch.setattr(endpoints, "process_graph_cached_task", mock_process_graph_cached_task)
+#     settings_service = get_settings_service()
+#     settings_service.auth_settings.AUTO_LOGIN = False
 
-    api_key = created_api_key.api_key
-    headers = {"x-api-key": api_key}
+#     async def mock_process_graph_cached(*args, **kwargs):
+#         return Result(result={}, session_id="session_id_mock")
 
-    # Dummy POST data
-    post_data = {
-        "inputs": {"input": "value"},
-        "tweaks": None,
-        "clear_cache": False,
-        "session_id": None,
-    }
+#     def mock_process_graph_cached_task(*args, **kwargs):
+#         return Result(result={}, session_id="session_id_mock")
 
-    # Make the request to the FastAPI TestClient
+#     # The task function is ran like this:
+#     # if not self.use_celery:
+#     #     return None, await task_func(*args, **kwargs)
+#     # if not hasattr(task_func, "apply"):
+#     #     raise ValueError(f"Task function {task_func} does not have an apply method")
+#     # task = task_func.apply(args=args, kwargs=kwargs)
+#     # result = task.get()
+#     # return task.id, result
+#     # So we need to mock the task function to return a task object
+#     # and then mock the task object to return a result
+#     # maybe a named tuple would be better here
+#     task = namedtuple("task", ["id", "get"])
+#     mock_process_graph_cached_task.apply = lambda *args, **kwargs: task(
+#         id="task_id_mock", get=lambda: Result(result={}, session_id="session_id_mock")
+#     )
 
-    response = client.post(f"api/v1/process/{flow.id}", headers=headers, json=post_data)
+#     def mock_update_total_uses(*args, **kwargs):
+#         return created_api_key
 
-    # Check the response
-    assert response.status_code == 200, response.json()
-    assert response.json()["result"] == {}, response.json()
-    assert response.json()["session_id"] == "session_id_mock", response.json()
+#     monkeypatch.setattr(endpoints, "process_graph_cached", mock_process_graph_cached)
+#     monkeypatch.setattr(crud, "update_total_uses", mock_update_total_uses)
+#     monkeypatch.setattr(endpoints, "process_graph_cached_task", mock_process_graph_cached_task)
 
+#     api_key = created_api_key.api_key
+#     headers = {"x-api-key": api_key}
 
-def test_process_flow_fails_autologin_off(client, flow, monkeypatch):
-    # Mock de process_graph_cached
-    from langflow.api.v1 import endpoints
-    from langflow.services.database.models.api_key import crud
+#     # Dummy POST data
+#     post_data = {
+#         "inputs": {"input": "value"},
+#         "tweaks": None,
+#         "clear_cache": False,
+#         "session_id": None,
+#     }
 
-    settings_service = get_settings_service()
-    settings_service.auth_settings.AUTO_LOGIN = False
+#     # Make the request to the FastAPI TestClient
 
-    async def mock_process_graph_cached(*args, **kwargs):
-        return Result(result={}, session_id="session_id_mock")
+#     response = client.post(f"api/v1/process/{flow.id}", headers=headers, json=post_data)
 
-    async def mock_update_total_uses(*args, **kwargs):
-        return created_api_key
+#     # Check the response
+#     assert response.status_code == 200, response.json()
+#     assert response.json()["result"] == {}, response.json()
+#     assert response.json()["session_id"] == "session_id_mock", response.json()
 
-    monkeypatch.setattr(endpoints, "process_graph_cached", mock_process_graph_cached)
-    monkeypatch.setattr(crud, "update_total_uses", mock_update_total_uses)
 
-    headers = {"x-api-key": "api_key"}
+# def test_process_flow_fails_autologin_off(client, flow, monkeypatch):
+#     # Mock de process_graph_cached
+#     from langflow.api.v1 import endpoints
+#     from langflow.services.database.models.api_key import crud
 
-    # Dummy POST data
-    post_data = {
-        "inputs": {"key": "value"},
-        "tweaks": None,
-        "clear_cache": False,
-        "session_id": None,
-    }
+#     settings_service = get_settings_service()
+#     settings_service.auth_settings.AUTO_LOGIN = False
+
+#     async def mock_process_graph_cached(*args, **kwargs):
+#         return Result(result={}, session_id="session_id_mock")
 
-    # Make the request to the FastAPI TestClient
+#     async def mock_update_total_uses(*args, **kwargs):
+#         return created_api_key
 
-    response = client.post(f"api/v1/process/{flow.id}", headers=headers, json=post_data)
+#     monkeypatch.setattr(endpoints, "process_graph_cached", mock_process_graph_cached)
+#     monkeypatch.setattr(crud, "update_total_uses", mock_update_total_uses)
 
-    # Check the response
-    assert response.status_code == 403, response.json()
-    assert response.json() == {"detail": "Invalid or missing API key"}
+#     headers = {"x-api-key": "api_key"}
+
+#     # Dummy POST data
+#     post_data = {
+#         "inputs": {"key": "value"},
+#         "tweaks": None,
+#         "clear_cache": False,
+#         "session_id": None,
+#     }
+
+#     # Make the request to the FastAPI TestClient
+
+#     response = client.post(f"api/v1/process/{flow.id}", headers=headers, json=post_data)
+
+#     # Check the response
+#     assert response.status_code == 403, response.json()
+#     assert response.json() == {"detail": "Invalid or missing API key"}
 
 
 def test_get_all(client: TestClient, logged_in_headers):
     response = client.get("api/v1/all", headers=logged_in_headers)
     assert response.status_code == 200
+    settings = get_settings_service().settings
+    dir_reader = DirectoryReader(settings.components_path[0])
+    files = dir_reader.get_files()
+    # json_response is a dict of dicts
+    all_names = [component_name for _, components in response.json().items() for component_name in components]
     json_response = response.json()
     # We need to test the custom nodes
-    assert "PromptTemplate" in json_response["prompts"]
-    # All CUSTOM_TOOLS(dict) should be in the response
-    assert all(tool in json_response["tools"] for tool in CUSTOM_TOOLS.keys())
+    assert len(all_names) <= len(
+        files
+    )  # Less or equal because we might have some files that don't have the dependencies installed
+    assert "ChatInput" in json_response["inputs"]
+    assert "Prompt" in json_response["prompts"]
+    assert "ChatOutput" in json_response["outputs"]
 
 
 def test_post_validate_code(client: TestClient):
@@ -402,180 +386,368 @@ def test_invalid_prompt(client: TestClient):
     ],
 )
 def test_various_prompts(client, prompt, expected_input_variables):
-    TimeTravelGuideChainNode().to_dict()
     PROMPT_REQUEST["template"] = prompt
     response = client.post("api/v1/validate/prompt", json=PROMPT_REQUEST)
     assert response.status_code == 200
     assert response.json()["input_variables"] == expected_input_variables
 
 
-def test_basic_chat_in_process(client, added_flow, created_api_key):
-    # Run the /api/v1/process/{flow_id} endpoint
-    headers = {"x-api-key": created_api_key.api_key}
-    post_data = {"inputs": {"text": "Hi, My name is Gabriel"}}
-    response = client.post(
-        f"api/v1/process/{added_flow.get('id')}",
-        headers=headers,
-        json=post_data,
-    )
-    assert response.status_code == 200, response.json()
-    # Check the response
-    assert "Gabriel" in response.json()["result"]["text"]
-    # session_id should be returned
-    assert "session_id" in response.json()
-    assert response.json()["session_id"] is not None
-    # New request with the same session_id
-    # asking "What is my name?" should return "Gabriel"
-    post_data = {
-        "inputs": {"text": "What is my name?"},
-        "session_id": response.json()["session_id"],
-    }
-    response = client.post(
-        f"api/v1/process/{added_flow.get('id')}",
-        headers=headers,
-        json=post_data,
-    )
-    assert response.status_code == 200, response.json()
-    assert "Gabriel" in response.json()["result"]["text"]
-
+def test_get_vertices_flow_not_found(client, logged_in_headers):
+    uuid = uuid4()
+    response = client.post(f"/api/v1/build/{uuid}/vertices", headers=logged_in_headers)
+    assert response.status_code == 500
 
-def test_basic_chat_different_session_ids(client, added_flow, created_api_key):
-    # Run the /api/v1/process/{flow_id} endpoint
-    headers = {"x-api-key": created_api_key.api_key}
-    post_data = {"inputs": {"text": "Hi, My name is Gabriel"}}
-    response = client.post(
-        f"api/v1/process/{added_flow.get('id')}",
-        headers=headers,
-        json=post_data,
-    )
-    assert response.status_code == 200, response.json()
-    # Check the response
-    assert "Gabriel" in response.json()["result"]["text"]
-    # session_id should be returned
-    assert "session_id" in response.json()
-    assert response.json()["session_id"] is not None
-    session_id1 = response.json()["session_id"]
-    # New request with a different session_id
-    # asking "What is my name?" should return "Gabriel"
-    post_data = {
-        "inputs": {"text": "What is my name?"},
-    }
-    response = client.post(
-        f"api/v1/process/{added_flow.get('id')}",
-        headers=headers,
-        json=post_data,
-    )
-    assert response.status_code == 200, response.json()
-    assert "Gabriel" not in response.json()["result"]["text"]
-    assert session_id1 != response.json()["session_id"]
 
+def test_get_vertices(client, added_flow_with_prompt_and_history, logged_in_headers):
+    flow_id = added_flow_with_prompt_and_history["id"]
+    response = client.post(f"/api/v1/build/{flow_id}/vertices", headers=logged_in_headers)
+    assert response.status_code == 200
+    assert "ids" in response.json()
+    # The response should contain the list in this order
+    # ['ConversationBufferMemory-Lu2Nb', 'PromptTemplate-5Q0W8', 'ChatOpenAI-vy7fV', 'LLMChain-UjBh1']
+    # The important part is before the - (ConversationBufferMemory, PromptTemplate, ChatOpenAI, LLMChain)
+    ids = [_id.split("-")[0] for _id in response.json()["ids"]]
+    assert ids == [
+        "ChatOpenAI",
+        "PromptTemplate",
+        "ConversationBufferMemory",
+    ]
 
-def test_basic_chat_with_two_session_ids_and_names(client, added_flow, created_api_key):
-    headers = {"x-api-key": created_api_key.api_key}
-    flow_id = added_flow.get("id")
-    names = ["Gabriel", "John"]
-    session_ids = []
 
-    for name in names:
-        post_data = {"inputs": {"text": f"Hi, My name is {name}"}}
-        response_json = run_post(client, flow_id, headers, post_data)
+def test_build_vertex_invalid_flow_id(client, logged_in_headers):
+    uuid = uuid4()
+    response = client.post(f"/api/v1/build/{uuid}/vertices/vertex_id", headers=logged_in_headers)
+    assert response.status_code == 500
 
-        assert name in response_json["result"]["text"]
-        assert "session_id" in response_json
-        assert response_json["session_id"] is not None
 
-        session_ids.append(response_json["session_id"])
+def test_build_vertex_invalid_vertex_id(client, added_flow_with_prompt_and_history, logged_in_headers):
+    flow_id = added_flow_with_prompt_and_history["id"]
+    response = client.post(f"/api/v1/build/{flow_id}/vertices/invalid_vertex_id", headers=logged_in_headers)
+    assert response.status_code == 500
 
-    for i, name in enumerate(names):
-        post_data = {
-            "inputs": {"text": "What is my name?"},
-            "session_id": session_ids[i],
-        }
-        response_json = run_post(client, flow_id, headers, post_data)
 
-        assert name in response_json["result"]["text"]
+def test_successful_run_no_payload(client, starter_project, created_api_key):
+    headers = {"x-api-key": created_api_key.api_key}
+    flow_id = starter_project["id"]
+    response = client.post(f"/api/v1/run/{flow_id}", headers=headers)
+    assert response.status_code == status.HTTP_200_OK, response.text
+    # Add more assertions here to validate the response content
+    json_response = response.json()
+    assert "session_id" in json_response
+    assert "outputs" in json_response
+    outer_outputs = json_response["outputs"]
+    assert len(outer_outputs) == 1
+    outputs_dict = outer_outputs[0]
+    assert len(outputs_dict) == 2
+    assert "inputs" in outputs_dict
+    assert "outputs" in outputs_dict
+    assert outputs_dict.get("inputs") == {"input_value": ""}
+    assert isinstance(outputs_dict.get("outputs"), list)
+    assert len(outputs_dict.get("outputs")) == 1
+    ids = [output.get("component_id") for output in outputs_dict.get("outputs")]
+    assert all(["ChatOutput" in _id for _id in ids])
+    display_names = [output.get("component_display_name") for output in outputs_dict.get("outputs")]
+    assert all([name in display_names for name in ["Chat Output"]])
+    output_results_has_results = all("results" in output.get("results") for output in outputs_dict.get("outputs"))
+    inner_results = [output.get("results") for output in outputs_dict.get("outputs")]
+
+    assert all([result is not None for result in inner_results]), (outputs_dict, output_results_has_results)
+
+
+def test_successful_run_with_output_type_text(client, starter_project, created_api_key):
+    headers = {"x-api-key": created_api_key.api_key}
+    flow_id = starter_project["id"]
+    payload = {
+        "output_type": "text",
+    }
+    response = client.post(f"/api/v1/run/{flow_id}", headers=headers, json=payload)
+    assert response.status_code == status.HTTP_200_OK, response.text
+    # Add more assertions here to validate the response content
+    json_response = response.json()
+    assert "session_id" in json_response
+    assert "outputs" in json_response
+    outer_outputs = json_response["outputs"]
+    assert len(outer_outputs) == 1
+    outputs_dict = outer_outputs[0]
+    assert len(outputs_dict) == 2
+    assert "inputs" in outputs_dict
+    assert "outputs" in outputs_dict
+    assert outputs_dict.get("inputs") == {"input_value": ""}
+    assert isinstance(outputs_dict.get("outputs"), list)
+    assert len(outputs_dict.get("outputs")) == 1
+    ids = [output.get("component_id") for output in outputs_dict.get("outputs")]
+    assert all(["ChatOutput" in _id for _id in ids]), ids
+    display_names = [output.get("component_display_name") for output in outputs_dict.get("outputs")]
+    assert all([name in display_names for name in ["Chat Output"]]), display_names
+    inner_results = [output.get("results") for output in outputs_dict.get("outputs")]
+    expected_keys = ["message"]
+    assert all([key in result for result in inner_results for key in expected_keys]), outputs_dict
+
+
+def test_successful_run_with_output_type_any(client, starter_project, created_api_key):
+    # This one should have both the ChatOutput and TextOutput components
+    headers = {"x-api-key": created_api_key.api_key}
+    flow_id = starter_project["id"]
+    payload = {
+        "output_type": "any",
+    }
+    response = client.post(f"/api/v1/run/{flow_id}", headers=headers, json=payload)
+    assert response.status_code == status.HTTP_200_OK, response.text
+    # Add more assertions here to validate the response content
+    json_response = response.json()
+    assert "session_id" in json_response
+    assert "outputs" in json_response
+    outer_outputs = json_response["outputs"]
+    assert len(outer_outputs) == 1
+    outputs_dict = outer_outputs[0]
+    assert len(outputs_dict) == 2
+    assert "inputs" in outputs_dict
+    assert "outputs" in outputs_dict
+    assert outputs_dict.get("inputs") == {"input_value": ""}
+    assert isinstance(outputs_dict.get("outputs"), list)
+    assert len(outputs_dict.get("outputs")) == 1
+    ids = [output.get("component_id") for output in outputs_dict.get("outputs")]
+    assert all(["ChatOutput" in _id or "TextOutput" in _id for _id in ids]), ids
+    display_names = [output.get("component_display_name") for output in outputs_dict.get("outputs")]
+    assert all([name in display_names for name in ["Chat Output"]]), display_names
+    inner_results = [output.get("results") for output in outputs_dict.get("outputs")]
+    expected_keys = ["message"]
+    assert all([key in result for result in inner_results for key in expected_keys]), outputs_dict
+
+
+def test_successful_run_with_output_type_debug(client, starter_project, created_api_key):
+    # This one should return outputs for all components
+    # Let's just check the amount of outputs(there should be 7)
+    headers = {"x-api-key": created_api_key.api_key}
+    flow_id = starter_project["id"]
+    payload = {
+        "output_type": "debug",
+    }
+    response = client.post(f"/api/v1/run/{flow_id}", headers=headers, json=payload)
+    assert response.status_code == status.HTTP_200_OK, response.text
+    # Add more assertions here to validate the response content
+    json_response = response.json()
+    assert "session_id" in json_response
+    assert "outputs" in json_response
+    outer_outputs = json_response["outputs"]
+    assert len(outer_outputs) == 1
+    outputs_dict = outer_outputs[0]
+    assert len(outputs_dict) == 2
+    assert "inputs" in outputs_dict
+    assert "outputs" in outputs_dict
+    assert outputs_dict.get("inputs") == {"input_value": ""}
+    assert isinstance(outputs_dict.get("outputs"), list)
+    assert len(outputs_dict.get("outputs")) == 4
+
+
+# To test input_type wel'l just set it with output_type debug and check if the value is correct
+def test_successful_run_with_input_type_text(client, starter_project, created_api_key):
+    headers = {"x-api-key": created_api_key.api_key}
+    flow_id = starter_project["id"]
+    payload = {
+        "input_type": "text",
+        "output_type": "debug",
+        "input_value": "value1",
+    }
+    response = client.post(f"/api/v1/run/{flow_id}", headers=headers, json=payload)
+    assert response.status_code == status.HTTP_200_OK, response.text
+    # Add more assertions here to validate the response content
+    json_response = response.json()
+    assert "session_id" in json_response
+    assert "outputs" in json_response
+    outer_outputs = json_response["outputs"]
+    assert len(outer_outputs) == 1
+    outputs_dict = outer_outputs[0]
+    assert len(outputs_dict) == 2
+    assert "inputs" in outputs_dict
+    assert "outputs" in outputs_dict
+    assert outputs_dict.get("inputs") == {"input_value": "value1"}
+    assert isinstance(outputs_dict.get("outputs"), list)
+    assert len(outputs_dict.get("outputs")) == 4
+    # Now we get all components that contain TextInput in the component_id
+    text_input_outputs = [output for output in outputs_dict.get("outputs") if "TextInput" in output.get("component_id")]
+    assert len(text_input_outputs) == 0
+    # Now we check if the input_value is correct
+    assert all([output.get("results") == "value1" for output in text_input_outputs]), text_input_outputs
+
+
+# Now do the same for "chat" input type
+def test_successful_run_with_input_type_chat(client, starter_project, created_api_key):
+    headers = {"x-api-key": created_api_key.api_key}
+    flow_id = starter_project["id"]
+    payload = {
+        "input_type": "chat",
+        "output_type": "debug",
+        "input_value": "value1",
+    }
+    response = client.post(f"/api/v1/run/{flow_id}", headers=headers, json=payload)
+    assert response.status_code == status.HTTP_200_OK, response.text
+    # Add more assertions here to validate the response content
+    json_response = response.json()
+    assert "session_id" in json_response
+    assert "outputs" in json_response
+    outer_outputs = json_response["outputs"]
+    assert len(outer_outputs) == 1
+    outputs_dict = outer_outputs[0]
+    assert len(outputs_dict) == 2
+    assert "inputs" in outputs_dict
+    assert "outputs" in outputs_dict
+    assert outputs_dict.get("inputs") == {"input_value": "value1"}
+    assert isinstance(outputs_dict.get("outputs"), list)
+    assert len(outputs_dict.get("outputs")) == 4
+    # Now we get all components that contain TextInput in the component_id
+    chat_input_outputs = [output for output in outputs_dict.get("outputs") if "ChatInput" in output.get("component_id")]
+    assert len(chat_input_outputs) == 1
+    # Now we check if the input_value is correct
+    assert all(
+        [output.get("results").get("message").get("text") == "value1" for output in chat_input_outputs]
+    ), chat_input_outputs
+
+
+def test_successful_run_with_input_type_any(client, starter_project, created_api_key):
+    headers = {"x-api-key": created_api_key.api_key}
+    flow_id = starter_project["id"]
+    payload = {
+        "input_type": "any",
+        "output_type": "debug",
+        "input_value": "value1",
+    }
+    response = client.post(f"/api/v1/run/{flow_id}", headers=headers, json=payload)
+    assert response.status_code == status.HTTP_200_OK, response.text
+    # Add more assertions here to validate the response content
+    json_response = response.json()
+    assert "session_id" in json_response
+    assert "outputs" in json_response
+    outer_outputs = json_response["outputs"]
+    assert len(outer_outputs) == 1
+    outputs_dict = outer_outputs[0]
+    assert len(outputs_dict) == 2
+    assert "inputs" in outputs_dict
+    assert "outputs" in outputs_dict
+    assert outputs_dict.get("inputs") == {"input_value": "value1"}
+    assert isinstance(outputs_dict.get("outputs"), list)
+    assert len(outputs_dict.get("outputs")) == 4
+    # Now we get all components that contain TextInput or ChatInput in the component_id
+    any_input_outputs = [
+        output
+        for output in outputs_dict.get("outputs")
+        if "TextInput" in output.get("component_id") or "ChatInput" in output.get("component_id")
+    ]
+    assert len(any_input_outputs) == 1
+    # Now we check if the input_value is correct
+    assert all(
+        [output.get("results").get("message").get("text") == "value1" for output in any_input_outputs]
+    ), any_input_outputs
+
+
+@pytest.mark.api_key_required
+def test_run_with_inputs_and_outputs(client, starter_project, created_api_key):
+    headers = {"x-api-key": created_api_key.api_key}
+    flow_id = starter_project["id"]
+    payload = {
+        "input_value": "value1",
+        "input_type": "text",
+        "output_type": "text",
+        "tweaks": {"parameter_name": "value"},
+        "stream": False,
+    }
+    response = client.post(f"/api/v1/run/{flow_id}", json=payload, headers=headers)
+    assert response.status_code == status.HTTP_200_OK, response.text
+    # Validate the response structure and content
 
 
-@pytest.mark.async_test
-def test_vector_store_in_process(distributed_client, added_vector_store, created_api_key):
-    # Run the /api/v1/process/{flow_id} endpoint
+def test_invalid_flow_id(client, created_api_key):
     headers = {"x-api-key": created_api_key.api_key}
-    post_data = {"inputs": {"input": "What is Langflow?"}}
-    response = distributed_client.post(
-        f"api/v1/process/{added_vector_store.get('id')}",
-        headers=headers,
-        json=post_data,
-    )
-    assert response.status_code == 200, response.json()
-    # Check the response
-    assert "Langflow" in response.json()["result"]["output"]
-    # session_id should be returned
-    assert "session_id" in response.json()
-    assert response.json()["session_id"] is not None
+    flow_id = "invalid-flow-id"
+    response = client.post(f"/api/v1/run/{flow_id}", headers=headers)
+    assert response.status_code == status.HTTP_404_NOT_FOUND, response.text
+    headers = {"x-api-key": created_api_key.api_key}
+    flow_id = UUID(int=0)
+    response = client.post(f"/api/v1/run/{flow_id}", headers=headers)
+    assert response.status_code == status.HTTP_404_NOT_FOUND, response.text
+    # Check if the error detail is as expected
 
 
-# Test function without loop
-@pytest.mark.async_test
-def test_async_task_processing(distributed_client, added_flow, created_api_key):
+@pytest.mark.api_key_required
+def test_run_flow_with_caching_success(client: TestClient, starter_project, created_api_key):
+    flow_id = starter_project["id"]
     headers = {"x-api-key": created_api_key.api_key}
-    post_data = {"inputs": {"text": "Hi, My name is Gabriel"}}
+    payload = {
+        "input_value": "value1",
+        "input_type": "text",
+        "output_type": "text",
+        "tweaks": {"parameter_name": "value"},
+        "stream": False,
+    }
+    response = client.post(f"/api/v1/run/{flow_id}", json=payload, headers=headers)
+    assert response.status_code == status.HTTP_200_OK
+    data = response.json()
+    assert "outputs" in data
+    assert "session_id" in data
 
-    # Run the /api/v1/process/{flow_id} endpoint with sync=False
-    response = distributed_client.post(
-        f"api/v1/process/{added_flow.get('id')}",
-        headers=headers,
-        json={**post_data, "sync": False},
-    )
-    assert response.status_code == 200, response.json()
 
-    # Extract the task ID from the response
-    task = response.json().get("task")
-    task_id = task.get("id")
-    task_href = task.get("href")
-    assert task_id is not None
-    assert task_href is not None
-    assert task_href == f"api/v1/task/{task_id}"
+@pytest.mark.api_key_required
+def test_run_flow_with_caching_invalid_flow_id(client: TestClient, created_api_key):
+    invalid_flow_id = uuid4()
+    headers = {"x-api-key": created_api_key.api_key}
+    payload = {"input_value": "", "input_type": "text", "output_type": "text", "tweaks": {}, "stream": False}
+    response = client.post(f"/api/v1/run/{invalid_flow_id}", json=payload, headers=headers)
+    assert response.status_code == status.HTTP_404_NOT_FOUND
+    data = response.json()
+    assert "detail" in data
+    assert f"Flow identifier {invalid_flow_id} not found" in data["detail"]
 
-    # Polling the task status using the helper function
-    task_status_json = poll_task_status(distributed_client, headers, task_href)
-    assert task_status_json is not None, "Task did not complete in time"
 
-    # Validate that the task completed successfully and the result is as expected
-    assert "result" in task_status_json, task_status_json
-    assert "text" in task_status_json["result"], task_status_json["result"]
-    assert "Gabriel" in task_status_json["result"]["text"], task_status_json["result"]
+@pytest.mark.api_key_required
+def test_run_flow_with_caching_invalid_input_format(client: TestClient, starter_project, created_api_key):
+    flow_id = starter_project["id"]
+    headers = {"x-api-key": created_api_key.api_key}
+    payload = {"input_value": {"key": "value"}, "input_type": "text", "output_type": "text", "tweaks": {}}
+    response = client.post(f"/api/v1/run/{flow_id}", json=payload, headers=headers)
+    assert response.status_code == status.HTTP_422_UNPROCESSABLE_ENTITY
 
 
-# ! Deactivating this until updating the test
-# Test function without loop
-# @pytest.mark.async_test
-# def test_async_task_processing_vector_store(client, added_vector_store, created_api_key):
+# @pytest.mark.api_key_required
+# def test_run_flow_with_session_id(client, starter_project, created_api_key):
 #     headers = {"x-api-key": created_api_key.api_key}
-#     post_data = {"inputs": {"input": "How do I upload examples?"}}
-
-#     # Run the /api/v1/process/{flow_id} endpoint with sync=False
-#     response = client.post(
-#         f"api/v1/process/{added_vector_store.get('id')}",
-#         headers=headers,
-#         json={**post_data, "sync": False},
-#     )
-#     assert response.status_code == 200, response.json()
-#     assert "result" in response.json()
-#     assert "FAILURE" not in response.json()["result"]
-
-#     # Extract the task ID from the response
-#     task = response.json().get("task")
-#     task_id = task.get("id")
-#     task_href = task.get("href")
-#     assert task_id is not None
-#     assert task_href is not None
-#     assert task_href == f"api/v1/task/{task_id}"
-
-#     # Polling the task status using the helper function
-#     task_status_json = poll_task_status(client, headers, task_href)
-#     assert task_status_json is not None, "Task did not complete in time"
-
-#     # Validate that the task completed successfully and the result is as expected
-#     assert "result" in task_status_json, task_status_json
-#     assert "output" in task_status_json["result"], task_status_json["result"]
-#     assert "Langflow" in task_status_json["result"]["output"], task_status_json["result"]
+#     flow_id = starter_project["id"]
+#     payload = {
+#         "input_value": "value1",
+#         "input_type": "text",
+#         "output_type": "text",
+#         "session_id": "test-session-id",
+#     }
+#     response = client.post(f"/api/v1/run/{flow_id}", json=payload, headers=headers)
+#     assert response.status_code == status.HTTP_404_NOT_FOUND
+#     data = response.json()
+#     assert {"detail": "Session test-session-id not found"} == data
+
+
+# def test_run_flow_with_invalid_session_id(client, starter_project, created_api_key):
+#     headers = {"x-api-key": created_api_key.api_key}
+#     flow_id = starter_project["id"]
+#     payload = {
+#         "input_value": "value1",
+#         "input_type": "text",
+#         "output_type": "text",
+#         "session_id": "invalid-session-id",
+#     }
+#     response = client.post(f"/api/v1/run/{flow_id}", json=payload, headers=headers)
+#     assert response.status_code == status.HTTP_404_NOT_FOUND
+#     data = response.json()
+#     assert "detail" in data
+#     assert f"Session {payload['session_id']} not found" in data["detail"]
+
+
+@pytest.mark.api_key_required
+def test_run_flow_with_invalid_tweaks(client, starter_project, created_api_key):
+    headers = {"x-api-key": created_api_key.api_key}
+    flow_id = starter_project["id"]
+    payload = {
+        "input_value": "value1",
+        "input_type": "text",
+        "output_type": "text",
+        "tweaks": {"invalid_tweak": "value"},
+    }
+    response = client.post(f"/api/v1/run/{flow_id}", json=payload, headers=headers)
+    assert response.status_code == status.HTTP_200_OK
diff --git a/tests/test_graph.py b/tests/test_graph.py
deleted file mode 100644
index cca6d4f49ad..00000000000
--- a/tests/test_graph.py
+++ /dev/null
@@ -1,563 +0,0 @@
-import copy
-import json
-import os
-import pickle
-from pathlib import Path
-from typing import Type, Union
-
-import pytest
-from langchain.agents import AgentExecutor
-from langchain.chains.base import Chain
-from langchain.llms.fake import FakeListLLM
-
-from langflow.graph import Graph
-from langflow.graph.edge.base import Edge
-from langflow.graph.graph.utils import (
-    find_last_node,
-    process_flow,
-    set_new_target_handle,
-    ungroup_node,
-    update_source_handle,
-    update_target_handle,
-    update_template,
-)
-from langflow.graph.utils import UnbuiltObject
-from langflow.graph.vertex.base import Vertex
-from langflow.graph.vertex.types import FileToolVertex, LLMVertex, ToolkitVertex
-from langflow.processing.process import get_result_and_thought
-from langflow.utils.payload import get_root_vertex
-
-# Test cases for the graph module
-
-# now we have three types of graph:
-# BASIC_EXAMPLE_PATH, COMPLEX_EXAMPLE_PATH, OPENAPI_EXAMPLE_PATH
-
-
-@pytest.fixture
-def sample_template():
-    return {
-        "field1": {"proxy": {"field": "some_field", "id": "node1"}},
-        "field2": {"proxy": {"field": "other_field", "id": "node2"}},
-    }
-
-
-@pytest.fixture
-def sample_nodes():
-    return [
-        {
-            "id": "node1",
-            "data": {"node": {"template": {"some_field": {"show": True, "advanced": False, "name": "Name1"}}}},
-        },
-        {
-            "id": "node2",
-            "data": {
-                "node": {
-                    "template": {
-                        "other_field": {
-                            "show": False,
-                            "advanced": True,
-                            "display_name": "DisplayName2",
-                        }
-                    }
-                }
-            },
-        },
-        {
-            "id": "node3",
-            "data": {"node": {"template": {"unrelated_field": {"show": True, "advanced": True}}}},
-        },
-    ]
-
-
-def get_node_by_type(graph, node_type: Type[Vertex]) -> Union[Vertex, None]:
-    """Get a node by type"""
-    return next((node for node in graph.vertices if isinstance(node, node_type)), None)
-
-
-def test_graph_structure(basic_graph):
-    assert isinstance(basic_graph, Graph)
-    assert len(basic_graph.vertices) > 0
-    assert len(basic_graph.edges) > 0
-    for node in basic_graph.vertices:
-        assert isinstance(node, Vertex)
-    for edge in basic_graph.edges:
-        assert isinstance(edge, Edge)
-        assert edge.source_id in basic_graph.vertex_map.keys()
-        assert edge.target_id in basic_graph.vertex_map.keys()
-
-
-def test_circular_dependencies(basic_graph):
-    assert isinstance(basic_graph, Graph)
-
-    def check_circular(node, visited):
-        visited.add(node)
-        neighbors = basic_graph.get_vertices_with_target(node)
-        for neighbor in neighbors:
-            if neighbor in visited:
-                return True
-            if check_circular(neighbor, visited.copy()):
-                return True
-        return False
-
-    for node in basic_graph.vertices:
-        assert not check_circular(node, set())
-
-
-def test_invalid_node_types():
-    graph_data = {
-        "nodes": [
-            {
-                "id": "1",
-                "data": {
-                    "node": {
-                        "base_classes": ["BaseClass"],
-                        "template": {
-                            "_type": "InvalidNodeType",
-                        },
-                    },
-                },
-            },
-        ],
-        "edges": [],
-    }
-    with pytest.raises(Exception):
-        Graph(graph_data["nodes"], graph_data["edges"])
-
-
-def test_get_vertices_with_target(basic_graph):
-    """Test getting connected nodes"""
-    assert isinstance(basic_graph, Graph)
-    # Get root node
-    root = get_root_vertex(basic_graph)
-    assert root is not None
-    connected_nodes = basic_graph.get_vertices_with_target(root.id)
-    assert connected_nodes is not None
-
-
-def test_get_node_neighbors_basic(basic_graph):
-    """Test getting node neighbors"""
-
-    assert isinstance(basic_graph, Graph)
-    # Get root node
-    root = get_root_vertex(basic_graph)
-    assert root is not None
-    neighbors = basic_graph.get_vertex_neighbors(root)
-    assert neighbors is not None
-    assert isinstance(neighbors, dict)
-    # Root Node is an Agent, it requires an LLMChain and tools
-    # We need to check if there is a Chain in the one of the neighbors'
-    # data attribute in the type key
-    assert any("ConversationBufferMemory" in neighbor.data["type"] for neighbor, val in neighbors.items() if val)
-
-    assert any("OpenAI" in neighbor.data["type"] for neighbor, val in neighbors.items() if val)
-
-
-# def test_get_node_neighbors_complex(complex_graph):
-#     """Test getting node neighbors"""
-#     assert isinstance(complex_graph, Graph)
-#     # Get root node
-#     root = get_root_node(complex_graph)
-#     assert root is not None
-#     neighbors = complex_graph.get_nodes_with_target(root)
-#     assert neighbors is not None
-#     # Neighbors should be a list of nodes
-#     assert isinstance(neighbors, list)
-#     # Root Node is an Agent, it requires an LLMChain and tools
-#     # We need to check if there is a Chain in the one of the neighbors'
-#     assert any("Chain" in neighbor.data["type"] for neighbor in neighbors)
-#     # assert Tool is in the neighbors
-#     assert any("Tool" in neighbor.data["type"] for neighbor in neighbors)
-#     # Now on to the Chain's neighbors
-#     chain = next(neighbor for neighbor in neighbors if "Chain" in neighbor.data["type"])
-#     chain_neighbors = complex_graph.get_nodes_with_target(chain)
-#     assert chain_neighbors is not None
-#     # Check if there is a LLM in the chain's neighbors
-#     assert any("OpenAI" in neighbor.data["type"] for neighbor in chain_neighbors)
-#     # Chain should have a Prompt as a neighbor
-#     assert any("Prompt" in neighbor.data["type"] for neighbor in chain_neighbors)
-#     # Now on to the Tool's neighbors
-#     tool = next(neighbor for neighbor in neighbors if "Tool" in neighbor.data["type"])
-#     tool_neighbors = complex_graph.get_nodes_with_target(tool)
-#     assert tool_neighbors is not None
-#     # Check if there is an Agent in the tool's neighbors
-#     assert any("Agent" in neighbor.data["type"] for neighbor in tool_neighbors)
-#     # This Agent has a Tool that has a PythonFunction as func
-#     agent = next(
-#         neighbor for neighbor in tool_neighbors if "Agent" in neighbor.data["type"]
-#     )
-#     agent_neighbors = complex_graph.get_nodes_with_target(agent)
-#     assert agent_neighbors is not None
-#     # Check if there is a Tool in the agent's neighbors
-#     assert any("Tool" in neighbor.data["type"] for neighbor in agent_neighbors)
-#     # This Tool has a PythonFunction as func
-#     tool = next(
-#         neighbor for neighbor in agent_neighbors if "Tool" in neighbor.data["type"]
-#     )
-#     tool_neighbors = complex_graph.get_nodes_with_target(tool)
-#     assert tool_neighbors is not None
-#     # Check if there is a PythonFunction in the tool's neighbors
-#     assert any(
-#         "PythonFunctionTool" in neighbor.data["type"] for neighbor in tool_neighbors
-#     )
-
-
-def test_get_node(basic_graph):
-    """Test getting a single node"""
-    node_id = basic_graph.vertices[0].id
-    node = basic_graph.get_vertex(node_id)
-    assert isinstance(node, Vertex)
-    assert node.id == node_id
-
-
-def test_build_nodes(basic_graph):
-    """Test building nodes"""
-
-    assert len(basic_graph.vertices) == len(basic_graph._vertices)
-    for node in basic_graph.vertices:
-        assert isinstance(node, Vertex)
-
-
-def test_build_edges(basic_graph):
-    """Test building edges"""
-    assert len(basic_graph.edges) == len(basic_graph._edges)
-    for edge in basic_graph.edges:
-        assert isinstance(edge, Edge)
-
-        assert isinstance(edge.source_id, str)
-        assert isinstance(edge.target_id, str)
-
-
-def test_get_root_vertex(client, basic_graph, complex_graph):
-    """Test getting root node"""
-    assert isinstance(basic_graph, Graph)
-    root = get_root_vertex(basic_graph)
-    assert root is not None
-    assert isinstance(root, Vertex)
-    assert root.data["type"] == "TimeTravelGuideChain"
-    # For complex example, the root node is a ZeroShotAgent too
-    assert isinstance(complex_graph, Graph)
-    root = get_root_vertex(complex_graph)
-    assert root is not None
-    assert isinstance(root, Vertex)
-    assert root.data["type"] == "ZeroShotAgent"
-
-
-def test_validate_edges(basic_graph):
-    """Test validating edges"""
-
-    assert isinstance(basic_graph, Graph)
-    # all edges should be valid
-    assert all(edge.valid for edge in basic_graph.edges)
-
-
-def test_matched_type(basic_graph):
-    """Test matched type attribute in Edge"""
-    assert isinstance(basic_graph, Graph)
-    # all edges should be valid
-    assert all(edge.valid for edge in basic_graph.edges)
-    # all edges should have a matched_type attribute
-    assert all(hasattr(edge, "matched_type") for edge in basic_graph.edges)
-    # The matched_type attribute should be in the source_types attr
-    assert all(edge.matched_type in edge.source_types for edge in basic_graph.edges)
-
-
-def test_build_params(basic_graph):
-    """Test building params"""
-
-    assert isinstance(basic_graph, Graph)
-    # all edges should be valid
-    assert all(edge.valid for edge in basic_graph.edges)
-    # all edges should have a matched_type attribute
-    assert all(hasattr(edge, "matched_type") for edge in basic_graph.edges)
-    # The matched_type attribute should be in the source_types attr
-    assert all(edge.matched_type in edge.source_types for edge in basic_graph.edges)
-    # Get the root node
-    root = get_root_vertex(basic_graph)
-    # Root node is a TimeTravelGuideChain
-    # which requires an llm and memory
-    assert root is not None
-    assert isinstance(root.params, dict)
-    assert "llm" in root.params
-    assert "memory" in root.params
-
-
-@pytest.mark.asyncio
-async def test_build(basic_graph):
-    """Test Node's build method"""
-    await assert_agent_was_built(basic_graph)
-
-
-async def assert_agent_was_built(graph):
-    """Assert that the agent was built"""
-    assert isinstance(graph, Graph)
-    # Now we test the build method
-    # Build the Agent
-    result = await graph.build()
-    # The agent should be a AgentExecutor
-    assert isinstance(result, Chain)
-
-
-@pytest.mark.asyncio
-async def test_llm_node_build(basic_graph):
-    llm_node = get_node_by_type(basic_graph, LLMVertex)
-    assert llm_node is not None
-    built_object = await llm_node.build()
-    assert built_object is not UnbuiltObject()
-
-
-@pytest.mark.asyncio
-async def test_toolkit_node_build(client, openapi_graph):
-    # Write a file to the disk
-    file_path = "api-with-examples.yaml"
-    with open(file_path, "w") as f:
-        f.write("openapi: 3.0.0")
-
-    toolkit_node = get_node_by_type(openapi_graph, ToolkitVertex)
-    assert toolkit_node is not None
-    built_object = await toolkit_node.build()
-    assert built_object is not UnbuiltObject
-    # Remove the file
-    os.remove(file_path)
-    assert not Path(file_path).exists()
-
-
-@pytest.mark.asyncio
-async def test_file_tool_node_build(client, openapi_graph):
-    file_path = "api-with-examples.yaml"
-    with open(file_path, "w") as f:
-        f.write("openapi: 3.0.0")
-
-    assert Path(file_path).exists()
-    file_tool_node = get_node_by_type(openapi_graph, FileToolVertex)
-    assert file_tool_node is not UnbuiltObject and file_tool_node is not None
-    built_object = await file_tool_node.build()
-    assert built_object is not UnbuiltObject
-    # Remove the file
-    os.remove(file_path)
-    assert not Path(file_path).exists()
-
-
-@pytest.mark.asyncio
-async def test_get_result_and_thought(basic_graph):
-    """Test the get_result_and_thought method"""
-    responses = [
-        "Final Answer: I am a response",
-    ]
-    message = {"input": "Hello"}
-    # Find the node that is an LLMNode and change the
-    # _built_object to a FakeListLLM
-    llm_node = get_node_by_type(basic_graph, LLMVertex)
-    assert llm_node is not None
-    llm_node._built_object = FakeListLLM(responses=responses)
-    llm_node._built = True
-    langchain_object = await basic_graph.build()
-    # assert all nodes are built
-    assert all(node._built for node in basic_graph.vertices)
-    # now build again and check if FakeListLLM was used
-
-    # Get the result and thought
-    result = get_result_and_thought(langchain_object, message)
-    assert isinstance(result, dict)
-
-
-def test_find_last_node(grouped_chat_json_flow):
-    grouped_chat_data = json.loads(grouped_chat_json_flow).get("data")
-    nodes, edges = grouped_chat_data["nodes"], grouped_chat_data["edges"]
-    last_node = find_last_node(nodes, edges)
-    assert last_node is not None  # Replace with the actual expected value
-    assert last_node["id"] == "LLMChain-pimAb"  # Replace with the actual expected value
-
-
-def test_ungroup_node(grouped_chat_json_flow):
-    grouped_chat_data = json.loads(grouped_chat_json_flow).get("data")
-    group_node = grouped_chat_data["nodes"][2]  # Assuming the first node is a group node
-    base_flow = copy.deepcopy(grouped_chat_data)
-    ungroup_node(group_node["data"], base_flow)
-    # after ungroup_node is called, the base_flow and grouped_chat_data should be different
-    assert base_flow != grouped_chat_data
-    # assert node 2 is not a group node anymore
-    assert base_flow["nodes"][2]["data"]["node"].get("flow") is None
-    # assert the edges are updated
-    assert len(base_flow["edges"]) > len(grouped_chat_data["edges"])
-    assert base_flow["edges"][0]["source"] == "ConversationBufferMemory-kUMif"
-    assert base_flow["edges"][0]["target"] == "LLMChain-2P369"
-    assert base_flow["edges"][1]["source"] == "PromptTemplate-Wjk4g"
-    assert base_flow["edges"][1]["target"] == "LLMChain-2P369"
-    assert base_flow["edges"][2]["source"] == "ChatOpenAI-rUJ1b"
-    assert base_flow["edges"][2]["target"] == "LLMChain-2P369"
-
-
-def test_process_flow(grouped_chat_json_flow):
-    grouped_chat_data = json.loads(grouped_chat_json_flow).get("data")
-
-    processed_flow = process_flow(grouped_chat_data)
-    assert processed_flow is not None
-    assert isinstance(processed_flow, dict)
-    assert "nodes" in processed_flow
-    assert "edges" in processed_flow
-
-
-def test_process_flow_one_group(one_grouped_chat_json_flow):
-    grouped_chat_data = json.loads(one_grouped_chat_json_flow).get("data")
-    # There should be only one node
-    assert len(grouped_chat_data["nodes"]) == 1
-    # Get the node, it should be a group node
-    group_node = grouped_chat_data["nodes"][0]
-    node_data = group_node["data"]["node"]
-    assert node_data.get("flow") is not None
-    template_data = node_data["template"]
-    assert any("openai_api_key" in key for key in template_data.keys())
-    # Get the openai_api_key dict
-    openai_api_key = next(
-        (template_data[key] for key in template_data.keys() if "openai_api_key" in key),
-        None,
-    )
-    assert openai_api_key is not None
-    assert openai_api_key["value"] == "test"
-
-    processed_flow = process_flow(grouped_chat_data)
-    assert processed_flow is not None
-    assert isinstance(processed_flow, dict)
-    assert "nodes" in processed_flow
-    assert "edges" in processed_flow
-
-    # Now get the node that has ChatOpenAI in its id
-    chat_openai_node = next((node for node in processed_flow["nodes"] if "ChatOpenAI" in node["id"]), None)
-    assert chat_openai_node is not None
-    assert chat_openai_node["data"]["node"]["template"]["openai_api_key"]["value"] == "test"
-
-
-def test_process_flow_vector_store_grouped(vector_store_grouped_json_flow):
-    grouped_chat_data = json.loads(vector_store_grouped_json_flow).get("data")
-    nodes = grouped_chat_data["nodes"]
-    assert len(nodes) == 4
-    # There are two group nodes in this flow
-    # One of them is inside the other totalling 7 nodes
-    # 4 nodes grouped, one of these turns into 1 normal node and 1 group node
-    # This group node has 2 nodes inside it
-
-    processed_flow = process_flow(grouped_chat_data)
-    assert processed_flow is not None
-    processed_nodes = processed_flow["nodes"]
-    assert len(processed_nodes) == 7
-    assert isinstance(processed_flow, dict)
-    assert "nodes" in processed_flow
-    assert "edges" in processed_flow
-    edges = processed_flow["edges"]
-    # Expected keywords in source and target fields
-    expected_keywords = [
-        {"source": "VectorStoreInfo", "target": "VectorStoreAgent"},
-        {"source": "ChatOpenAI", "target": "VectorStoreAgent"},
-        {"source": "OpenAIEmbeddings", "target": "Chroma"},
-        {"source": "Chroma", "target": "VectorStoreInfo"},
-        {"source": "WebBaseLoader", "target": "RecursiveCharacterTextSplitter"},
-        {"source": "RecursiveCharacterTextSplitter", "target": "Chroma"},
-    ]
-
-    for idx, expected_keyword in enumerate(expected_keywords):
-        for key, value in expected_keyword.items():
-            assert (
-                value in edges[idx][key].split("-")[0]
-            ), f"Edge {idx}, key {key} expected to contain {value} but got {edges[idx][key]}"
-
-
-def test_update_template(sample_template, sample_nodes):
-    # Making a deep copy to keep original sample_nodes unchanged
-    nodes_copy = copy.deepcopy(sample_nodes)
-    update_template(sample_template, nodes_copy)
-
-    # Now, validate the updates.
-    node1_updated = next((n for n in nodes_copy if n["id"] == "node1"), None)
-    node2_updated = next((n for n in nodes_copy if n["id"] == "node2"), None)
-    node3_updated = next((n for n in nodes_copy if n["id"] == "node3"), None)
-
-    assert node1_updated is not None
-    assert node1_updated["data"]["node"]["template"]["some_field"]["show"] is True
-    assert node1_updated["data"]["node"]["template"]["some_field"]["advanced"] is False
-    assert node1_updated["data"]["node"]["template"]["some_field"]["display_name"] == "Name1"
-
-    assert node2_updated is not None
-    assert node2_updated["data"]["node"]["template"]["other_field"]["show"] is False
-    assert node2_updated["data"]["node"]["template"]["other_field"]["advanced"] is True
-    assert node2_updated["data"]["node"]["template"]["other_field"]["display_name"] == "DisplayName2"
-
-    # Ensure node3 remains unchanged
-    assert node3_updated == sample_nodes[2]
-
-
-# Test `update_target_handle`
-def test_update_target_handle_proxy():
-    new_edge = {
-        "data": {
-            "targetHandle": {
-                "type": "some_type",
-                "proxy": {"id": "some_id", "field": ""},
-            }
-        }
-    }
-    g_nodes = [{"id": "some_id", "data": {"node": {"flow": None}}}]
-    group_node_id = "group_id"
-    updated_edge = update_target_handle(new_edge, g_nodes, group_node_id)
-    assert updated_edge["data"]["targetHandle"] == new_edge["data"]["targetHandle"]
-
-
-# Test `set_new_target_handle`
-def test_set_new_target_handle():
-    proxy_id = "proxy_id"
-    new_edge = {"target": None, "data": {"targetHandle": {}}}
-    target_handle = {"type": "type_1", "proxy": {"field": "field_1"}}
-    node = {
-        "data": {
-            "node": {
-                "flow": True,
-                "template": {"field_1": {"proxy": {"field": "new_field", "id": "new_id"}}},
-            }
-        }
-    }
-    set_new_target_handle(proxy_id, new_edge, target_handle, node)
-    assert new_edge["target"] == "proxy_id"
-    assert new_edge["data"]["targetHandle"]["fieldName"] == "field_1"
-    assert new_edge["data"]["targetHandle"]["proxy"] == {
-        "field": "new_field",
-        "id": "new_id",
-    }
-
-
-# Test `update_source_handle`
-def test_update_source_handle():
-    new_edge = {"source": None, "data": {"sourceHandle": {"id": None}}}
-    flow_data = {
-        "nodes": [{"id": "some_node"}, {"id": "last_node"}],
-        "edges": [{"source": "some_node"}],
-    }
-    updated_edge = update_source_handle(new_edge, flow_data["nodes"], flow_data["edges"])
-    assert updated_edge["source"] == "last_node"
-    assert updated_edge["data"]["sourceHandle"]["id"] == "last_node"
-
-
-@pytest.mark.asyncio
-async def test_pickle_graph(json_vector_store):
-    loaded_json = json.loads(json_vector_store)
-    graph = Graph.from_payload(loaded_json)
-    assert isinstance(graph, Graph)
-    first_result = await graph.build()
-    assert isinstance(first_result, AgentExecutor)
-    pickled = pickle.dumps(graph)
-    assert pickled is not UnbuiltObject
-    unpickled = pickle.loads(pickled)
-    assert unpickled is not UnbuiltObject
-    result = await unpickled.build()
-    assert isinstance(result, AgentExecutor)
-
-
-@pytest.mark.asyncio
-async def test_pickle_each_vertex(json_vector_store):
-    loaded_json = json.loads(json_vector_store)
-    graph = Graph.from_payload(loaded_json)
-    assert isinstance(graph, Graph)
-    for vertex in graph.vertices:
-        await vertex.build()
-        pickled = pickle.dumps(vertex)
-        assert pickled is not UnbuiltObject
-        unpickled = pickle.loads(pickled)
-        assert unpickled is not UnbuiltObject
diff --git a/tests/test_loading.py b/tests/test_loading.py
deleted file mode 100644
index eb3987e9365..00000000000
--- a/tests/test_loading.py
+++ /dev/null
@@ -1,37 +0,0 @@
-import json
-
-import pytest
-from langchain.chains.base import Chain
-from langflow.graph import Graph
-from langflow.processing.load import load_flow_from_json
-from langflow.utils.payload import get_root_vertex
-
-
-def test_load_flow_from_json():
-    """Test loading a flow from a json file"""
-    loaded = load_flow_from_json(pytest.BASIC_EXAMPLE_PATH)
-    assert loaded is not None
-    assert isinstance(loaded, Chain)
-
-
-def test_load_flow_from_json_with_tweaks():
-    """Test loading a flow from a json file and applying tweaks"""
-    tweaks = {"dndnode_82": {"model_name": "test model"}}
-    loaded = load_flow_from_json(pytest.BASIC_EXAMPLE_PATH, tweaks=tweaks)
-    assert loaded is not None
-    assert isinstance(loaded, Chain)
-    assert loaded.llm.model_name == "test model"
-
-
-def test_get_root_vertex():
-    with open(pytest.BASIC_EXAMPLE_PATH, "r") as f:
-        flow_graph = json.load(f)
-    data_graph = flow_graph["data"]
-    nodes = data_graph["nodes"]
-    edges = data_graph["edges"]
-    graph = Graph(nodes, edges)
-    root = get_root_vertex(graph)
-    assert root is not None
-    assert hasattr(root, "id")
-    assert hasattr(root, "data")
-    assert hasattr(root, "data")
diff --git a/tests/test_process.py b/tests/test_process.py
deleted file mode 100644
index c8e4ec9cc67..00000000000
--- a/tests/test_process.py
+++ /dev/null
@@ -1,239 +0,0 @@
-import pytest
-from langflow.processing.process import process_tweaks
-from langflow.services.deps import get_session_service
-
-
-def test_no_tweaks():
-    graph_data = {
-        "data": {
-            "nodes": [
-                {
-                    "id": "node1",
-                    "data": {
-                        "node": {
-                            "template": {
-                                "param1": {"value": 1},
-                                "param2": {"value": 2},
-                            }
-                        }
-                    },
-                },
-                {
-                    "id": "node2",
-                    "data": {
-                        "node": {
-                            "template": {
-                                "param1": {"value": 3},
-                                "param2": {"value": 4},
-                            }
-                        }
-                    },
-                },
-            ]
-        }
-    }
-    tweaks = {}
-    result = process_tweaks(graph_data, tweaks)
-    assert result == graph_data
-
-
-def test_single_tweak():
-    graph_data = {
-        "data": {
-            "nodes": [
-                {
-                    "id": "node1",
-                    "data": {
-                        "node": {
-                            "template": {
-                                "param1": {"value": 1},
-                                "param2": {"value": 2},
-                            }
-                        }
-                    },
-                },
-                {
-                    "id": "node2",
-                    "data": {
-                        "node": {
-                            "template": {
-                                "param1": {"value": 3},
-                                "param2": {"value": 4},
-                            }
-                        }
-                    },
-                },
-            ]
-        }
-    }
-    tweaks = {"node1": {"param1": 5}}
-    expected_result = {
-        "data": {
-            "nodes": [
-                {
-                    "id": "node1",
-                    "data": {
-                        "node": {
-                            "template": {
-                                "param1": {"value": 5},
-                                "param2": {"value": 2},
-                            }
-                        }
-                    },
-                },
-                {
-                    "id": "node2",
-                    "data": {
-                        "node": {
-                            "template": {
-                                "param1": {"value": 3},
-                                "param2": {"value": 4},
-                            }
-                        }
-                    },
-                },
-            ]
-        }
-    }
-    result = process_tweaks(graph_data, tweaks)
-    assert result == expected_result
-
-
-def test_multiple_tweaks():
-    graph_data = {
-        "data": {
-            "nodes": [
-                {
-                    "id": "node1",
-                    "data": {
-                        "node": {
-                            "template": {
-                                "param1": {"value": 1},
-                                "param2": {"value": 2},
-                            }
-                        }
-                    },
-                },
-                {
-                    "id": "node2",
-                    "data": {
-                        "node": {
-                            "template": {
-                                "param1": {"value": 3},
-                                "param2": {"value": 4},
-                            }
-                        }
-                    },
-                },
-            ]
-        }
-    }
-    tweaks = {
-        "node1": {"param1": 5, "param2": 6},
-        "node2": {"param1": 7},
-    }
-    expected_result = {
-        "data": {
-            "nodes": [
-                {
-                    "id": "node1",
-                    "data": {
-                        "node": {
-                            "template": {
-                                "param1": {"value": 5},
-                                "param2": {"value": 6},
-                            }
-                        }
-                    },
-                },
-                {
-                    "id": "node2",
-                    "data": {
-                        "node": {
-                            "template": {
-                                "param1": {"value": 7},
-                                "param2": {"value": 4},
-                            }
-                        }
-                    },
-                },
-            ]
-        }
-    }
-    result = process_tweaks(graph_data, tweaks)
-    assert result == expected_result
-
-
-def test_tweak_not_in_template():
-    graph_data = {
-        "data": {
-            "nodes": [
-                {
-                    "id": "node1",
-                    "data": {
-                        "node": {
-                            "template": {
-                                "param1": {"value": 1},
-                                "param2": {"value": 2},
-                            }
-                        }
-                    },
-                },
-                {
-                    "id": "node2",
-                    "data": {
-                        "node": {
-                            "template": {
-                                "param1": {"value": 3},
-                                "param2": {"value": 4},
-                            }
-                        }
-                    },
-                },
-            ]
-        }
-    }
-    tweaks = {"node1": {"param3": 5}}
-    result = process_tweaks(graph_data, tweaks)
-    assert result == graph_data
-
-
-@pytest.mark.asyncio
-async def test_load_langchain_object_with_cached_session(client, basic_graph_data):
-    # Provide a non-existent session_id
-    session_service = get_session_service()
-    session_id1 = "non-existent-session-id"
-    graph1, artifacts1 = await session_service.load_session(session_id1, basic_graph_data)
-    # Use the new session_id to get the langchain_object again
-    graph2, artifacts2 = await session_service.load_session(session_id1, basic_graph_data)
-
-    assert graph1 == graph2
-    assert artifacts1 == artifacts2
-
-
-@pytest.mark.asyncio
-async def test_load_langchain_object_with_no_cached_session(client, basic_graph_data):
-    # Provide a non-existent session_id
-    session_service = get_session_service()
-    session_id1 = "non-existent-session-id"
-    session_id = session_service.build_key(session_id1, basic_graph_data)
-    graph1, artifacts1 = await session_service.load_session(session_id, basic_graph_data)
-    # Clear the cache
-    session_service.clear_session(session_id)
-    # Use the new session_id to get the langchain_object again
-    graph2, artifacts2 = await session_service.load_session(session_id, basic_graph_data)
-
-    assert id(graph1) != id(graph2)
-    # Since the cache was cleared, objects should be different
-
-
-@pytest.mark.asyncio
-async def test_load_langchain_object_without_session_id(client, basic_graph_data):
-    # Provide a non-existent session_id
-    session_service = get_session_service()
-    session_id1 = None
-    graph1, artifacts1 = await session_service.load_session(session_id1, basic_graph_data)
-    # Use the new session_id to get the langchain_object again
-    graph2, artifacts2 = await session_service.load_session(session_id1, basic_graph_data)
-
-    assert graph1 == graph2
diff --git a/tests/test_prompts_template.py b/tests/test_prompts_template.py
deleted file mode 100644
index 505b9db2f02..00000000000
--- a/tests/test_prompts_template.py
+++ /dev/null
@@ -1,11 +0,0 @@
-from fastapi.testclient import TestClient
-from langflow.services.deps import get_settings_service
-
-
-def test_prompts_settings(client: TestClient, logged_in_headers):
-    settings_service = get_settings_service()
-    response = client.get("api/v1/all", headers=logged_in_headers)
-    assert response.status_code == 200
-    json_response = response.json()
-    prompts = json_response["prompts"]
-    assert set(prompts.keys()) == set(settings_service.settings.PROMPTS)
diff --git a/tests/test_schema.py b/tests/test_schema.py
new file mode 100644
index 00000000000..1a2b69c347b
--- /dev/null
+++ b/tests/test_schema.py
@@ -0,0 +1,129 @@
+from typing import Union
+
+import pytest
+from pydantic import ValidationError
+
+from langflow.template import Input, Output
+from langflow.template.field.base import UNDEFINED
+from langflow.type_extraction.type_extraction import post_process_type
+
+
+@pytest.fixture(name="client", autouse=True)
+def client_fixture():
+    pass
+
+
+class TestInput:
+    def test_field_type_str(self):
+        input_obj = Input(field_type="str")
+        assert input_obj.field_type == "str"
+
+    def test_field_type_type(self):
+        input_obj = Input(field_type=int)
+        assert input_obj.field_type == "int"
+
+    def test_invalid_field_type(self):
+        with pytest.raises(ValidationError):
+            Input(field_type=123)
+
+    def test_serialize_field_type(self):
+        input_obj = Input(field_type="str")
+        assert input_obj.serialize_field_type("str", None) == "str"
+
+    def test_validate_type_string(self):
+        input_obj = Input(field_type="str")
+        assert input_obj.field_type == "str"
+
+    def test_validate_type_class(self):
+        input_obj = Input(field_type=int)
+        assert input_obj.field_type == "int"
+
+    def test_post_process_type_function(self):
+        assert post_process_type(int) == [int]
+        assert post_process_type(list[int]) == [int]
+        assert post_process_type(Union[int, str]) == [int, str]
+
+    def test_input_to_dict(self):
+        input_obj = Input(field_type="str")
+        assert input_obj.to_dict() == {
+            "type": "str",
+            "required": False,
+            "placeholder": "",
+            "list": False,
+            "show": True,
+            "multiline": False,
+            "fileTypes": [],
+            "file_path": "",
+            "password": False,
+            "advanced": False,
+            "title_case": False,
+            "dynamic": False,
+            "info": "",
+            "input_types": ["Text"],
+            "load_from_db": False,
+        }
+
+
+class TestOutput:
+    def test_output_default(self):
+        output_obj = Output(name="test_output")
+        assert output_obj.name == "test_output"
+        assert output_obj.value == UNDEFINED
+        assert output_obj.cache is True
+
+    def test_output_add_types(self):
+        output_obj = Output(name="test_output")
+        output_obj.add_types(["str", "int"])
+        assert output_obj.types == ["str", "int"]
+
+    def test_output_set_selected(self):
+        output_obj = Output(name="test_output", types=["str", "int"])
+        output_obj.set_selected()
+        assert output_obj.selected == "str"
+
+    def test_output_to_dict(self):
+        output_obj = Output(name="test_output")
+        assert output_obj.to_dict() == {
+            "types": [],
+            "name": "test_output",
+            "display_name": "test_output",
+            "cache": True,
+            "value": "__UNDEFINED__",
+        }
+
+    def test_output_validate_display_name(self):
+        output_obj = Output(name="test_output")
+        assert output_obj.display_name == "test_output"
+
+    def test_output_validate_model(self):
+        output_obj = Output(name="test_output", value="__UNDEFINED__")
+        assert output_obj.validate_model() == output_obj
+
+
+class TestPostProcessType:
+    def test_int_type(self):
+        assert post_process_type(int) == [int]
+
+    def test_list_int_type(self):
+        assert post_process_type(list[int]) == [int]
+
+    def test_union_type(self):
+        assert post_process_type(Union[int, str]) == [int, str]
+
+    def test_custom_type(self):
+        class CustomType:
+            pass
+
+        assert post_process_type(CustomType) == [CustomType]
+
+    def test_list_custom_type(self):
+        class CustomType:
+            pass
+
+        assert post_process_type(list[CustomType]) == [CustomType]
+
+    def test_union_custom_type(self):
+        class CustomType:
+            pass
+
+        assert post_process_type(Union[CustomType, int]) == [CustomType, int]
diff --git a/tests/test_template.py b/tests/test_template.py
deleted file mode 100644
index 048d7da9e87..00000000000
--- a/tests/test_template.py
+++ /dev/null
@@ -1,284 +0,0 @@
-import importlib
-from typing import Dict, List, Optional
-
-import pytest
-from langflow.utils.constants import CHAT_OPENAI_MODELS, OPENAI_MODELS
-from langflow.utils.util import (
-    build_template_from_class,
-    build_template_from_function,
-    format_dict,
-    get_base_classes,
-    get_default_factory,
-)
-from pydantic import BaseModel
-
-
-# Dummy classes for testing purposes
-class Parent(BaseModel):
-    """Parent Class"""
-
-    parent_field: str
-
-
-class Child(Parent):
-    """Child Class"""
-
-    child_field: int
-
-
-class ExampleClass1(BaseModel):
-    """Example class 1."""
-
-    def __init__(self, data: Optional[List[int]] = None):
-        self.data = data or [1, 2, 3]
-
-
-class ExampleClass2(BaseModel):
-    """Example class 2."""
-
-    def __init__(self, data: Optional[Dict[str, int]] = None):
-        self.data = data or {"a": 1, "b": 2, "c": 3}
-
-
-def example_loader_1() -> ExampleClass1:
-    """Example loader function 1."""
-    return ExampleClass1()
-
-
-def example_loader_2() -> ExampleClass2:
-    """Example loader function 2."""
-    return ExampleClass2()
-
-
-def test_build_template_from_function():
-    type_to_loader_dict = {
-        "example1": example_loader_1,
-        "example2": example_loader_2,
-    }
-
-    # Test with valid name
-    result = build_template_from_function("ExampleClass1", type_to_loader_dict)
-
-    assert result is not None
-    assert "template" in result
-    assert "description" in result
-    assert "base_classes" in result
-
-    # Test with add_function=True
-    result_with_function = build_template_from_function("ExampleClass1", type_to_loader_dict, add_function=True)
-    assert result_with_function is not None
-    assert "Callable" in result_with_function["base_classes"]
-
-    # Test with invalid name
-    with pytest.raises(ValueError, match=r".* not found"):
-        build_template_from_function("NonExistent", type_to_loader_dict)
-
-
-# Test build_template_from_class
-def test_build_template_from_class():
-    type_to_cls_dict: Dict[str, type] = {"parent": Parent, "child": Child}
-
-    # Test valid input
-    result = build_template_from_class("Child", type_to_cls_dict)
-    assert result is not None
-    assert "template" in result
-    assert "description" in result
-    assert "base_classes" in result
-    assert "Child" in result["base_classes"]
-    assert "Parent" in result["base_classes"]
-    assert result["description"] == "Child Class"
-
-    # Test invalid input
-    with pytest.raises(ValueError, match="InvalidClass not found."):
-        build_template_from_class("InvalidClass", type_to_cls_dict)
-
-
-# Test format_dict
-def test_format_dict():
-    # Test 1: Optional type removal
-    input_dict = {
-        "field1": {"type": "Optional[str]", "required": False},
-    }
-    expected_output = {
-        "field1": {
-            "type": "str",
-            "required": False,
-            "list": False,
-            "show": False,
-            "password": False,
-            "multiline": False,
-        },
-    }
-    assert format_dict(input_dict) == expected_output
-
-    # Test 2: List type processing
-    input_dict = {
-        "field1": {"type": "List[str]", "required": False},
-    }
-    expected_output = {
-        "field1": {
-            "type": "str",
-            "required": False,
-            "list": True,
-            "show": False,
-            "password": False,
-            "multiline": False,
-        },
-    }
-    assert format_dict(input_dict) == expected_output
-
-    # Test 3: Mapping type replacement
-    input_dict = {
-        "field1": {"type": "Mapping[str, int]", "required": False},
-    }
-    expected_output = {
-        "field1": {
-            "type": "dict[str, int]",  # Mapping type is replaced with dict which is replaced with code
-            "required": False,
-            "list": False,
-            "show": False,
-            "password": False,
-            "multiline": False,
-        },
-    }
-    assert format_dict(input_dict) == expected_output
-
-    # Test 4: Replace default value with actual value
-    input_dict = {
-        "field1": {"type": "str", "required": False, "default": "test"},
-    }
-    expected_output = {
-        "field1": {
-            "type": "str",
-            "required": False,
-            "list": False,
-            "show": False,
-            "password": False,
-            "multiline": False,
-            "value": "test",
-        },
-    }
-    assert format_dict(input_dict) == expected_output
-
-    # Test 5: Add password field
-    input_dict = {
-        "field1": {"type": "str", "required": False},
-        "api_key": {"type": "str", "required": False},
-    }
-    expected_output = {
-        "field1": {
-            "type": "str",
-            "required": False,
-            "list": False,
-            "show": False,
-            "password": False,
-            "multiline": False,
-        },
-        "api_key": {
-            "type": "str",
-            "required": False,
-            "list": False,
-            "show": True,
-            "password": True,
-            "multiline": False,
-        },
-    }
-    assert format_dict(input_dict) == expected_output
-
-    # Test 6: Add multiline
-    input_dict = {
-        "field1": {"type": "str", "required": False},
-        "prefix": {"type": "str", "required": False},
-    }
-    expected_output = {
-        "field1": {
-            "type": "str",
-            "required": False,
-            "list": False,
-            "show": False,
-            "password": False,
-            "multiline": False,
-        },
-        "prefix": {
-            "type": "str",
-            "required": False,
-            "list": False,
-            "show": True,
-            "password": False,
-            "multiline": True,
-        },
-    }
-    assert format_dict(input_dict) == expected_output
-
-    # Test 7: Check class name-specific cases (OpenAI, ChatOpenAI)
-    input_dict = {
-        "model_name": {"type": "str", "required": False},
-    }
-    expected_output_openai = {
-        "model_name": {
-            "type": "str",
-            "required": False,
-            "list": True,
-            "show": True,
-            "password": False,
-            "multiline": False,
-            "options": OPENAI_MODELS,
-            "value": "text-davinci-003",
-        },
-    }
-    expected_output_openai_chat = {
-        "model_name": {
-            "type": "str",
-            "required": False,
-            "list": True,
-            "show": True,
-            "password": False,
-            "multiline": False,
-            "options": CHAT_OPENAI_MODELS,
-            "value": "gpt-4-turbo-preview",
-        },
-    }
-    assert format_dict(input_dict, "OpenAI") == expected_output_openai
-    assert format_dict(input_dict, "ChatOpenAI") == expected_output_openai_chat
-
-    # Test 8: Replace dict type with str
-    input_dict = {
-        "field1": {"type": "Dict[str, int]", "required": False},
-    }
-    expected_output = {
-        "field1": {
-            "type": "Dict[str, int]",
-            "required": False,
-            "list": False,
-            "show": False,
-            "password": False,
-            "multiline": False,
-        },
-    }
-    assert format_dict(input_dict) == expected_output
-
-
-# Test get_base_classes
-def test_get_base_classes():
-    base_classes_parent = get_base_classes(Parent)
-    base_classes_child = get_base_classes(Child)
-
-    assert "Parent" in base_classes_parent
-    assert "Child" in base_classes_child
-    assert "Parent" in base_classes_child
-
-
-# Test get_default_factory
-def test_get_default_factory():
-    module_name = "langflow.utils.util"
-    function_repr = "<function dummy_function>"
-
-    def dummy_function():
-        return "default_value"
-
-    # Add dummy_function to your_module
-    setattr(importlib.import_module(module_name), "dummy_function", dummy_function)
-
-    default_value = get_default_factory(module_name, function_repr)
-
-    assert default_value == "default_value"
diff --git a/tests/test_user.py b/tests/test_user.py
index d7e81484583..cd1cf916565 100644
--- a/tests/test_user.py
+++ b/tests/test_user.py
@@ -96,7 +96,7 @@ def test_data_consistency_after_update(client, active_user, logged_in_headers, s
     # Fetch the updated user from the database
     response = client.get("/api/v1/users/whoami", headers=logged_in_headers)
     assert response.status_code == 401, response.json()
-    assert response.json()["detail"] == "Could not validate credentials"
+    assert response.json()["detail"] == "User not found or is inactive."
 
 
 def test_data_consistency_after_delete(client, test_user, super_user_headers):
@@ -117,7 +117,7 @@ def test_inactive_user(client):
             username="inactiveuser",
             password=get_password_hash("testpassword"),
             is_active=False,
-            last_login_at=datetime.now(),
+            last_login_at=datetime(2023, 1, 1, 0, 0, 0),
         )
         session.add(user)
         session.commit()
@@ -202,9 +202,9 @@ def test_patch_user_wrong_id(client, active_user, logged_in_headers):
     assert response.status_code == 422, response.json()
     json_response = response.json()
     detail = json_response["detail"]
-    assert detail[0]["type"] == "uuid_parsing"
-    assert detail[0]["loc"] == ["path", "user_id"]
-    assert detail[0]["input"] == "wrong_id"
+    error = detail[0]
+    assert error["loc"] == ["path", "user_id"]
+    assert error["type"] == "uuid_parsing"
 
 
 def test_delete_user(client, test_user, super_user_headers):
@@ -220,9 +220,9 @@ def test_delete_user_wrong_id(client, test_user, super_user_headers):
     assert response.status_code == 422
     json_response = response.json()
     detail = json_response["detail"]
-    assert detail[0]["type"] == "uuid_parsing"
-    assert detail[0]["loc"] == ["path", "user_id"]
-    assert detail[0]["input"] == "wrong_id"
+    error = detail[0]
+    assert error["loc"] == ["path", "user_id"]
+    assert error["type"] == "uuid_parsing"
 
 
 def test_normal_user_cant_delete_user(client, test_user, logged_in_headers):
diff --git a/tests/test_webhook.py b/tests/test_webhook.py
new file mode 100644
index 00000000000..c8d75c9cc58
--- /dev/null
+++ b/tests/test_webhook.py
@@ -0,0 +1,28 @@
+import tempfile
+from pathlib import Path
+
+
+def test_webhook_endpoint(client, added_webhook_test):
+    # The test is as follows:
+    # 1. The flow when run will get a "path" from the payload and save a file with the path as the name.
+    # We will create a temporary file path and send it to the webhook endpoint, then check if the file exists.
+    # 2. we will delete the file, then send an invalid payload to the webhook endpoint and check if the file exists.
+    endpoint_name = added_webhook_test["endpoint_name"]
+    endpoint = f"api/v1/webhook/{endpoint_name}"
+    # Create a temporary file
+    with tempfile.TemporaryDirectory() as tmp:
+        file_path = Path(tmp) / "test_file.txt"
+
+        payload = {"path": str(file_path)}
+
+        response = client.post(endpoint, json=payload)
+        assert response.status_code == 202
+        assert file_path.exists()
+
+    assert not file_path.exists()
+
+    # Send an invalid payload
+    payload = {"invalid_key": "invalid_value"}
+    response = client.post(endpoint, json=payload)
+    assert response.status_code == 202
+    assert not file_path.exists()
diff --git a/tests/test_websocket.py b/tests/test_websocket.py
deleted file mode 100644
index c4c9ee322c5..00000000000
--- a/tests/test_websocket.py
+++ /dev/null
@@ -1,50 +0,0 @@
-from fastapi import WebSocketDisconnect
-from fastapi.testclient import TestClient
-
-# from langflow.services.chat.manager import ChatService
-
-import pytest
-
-
-def test_init_build(client, active_user, logged_in_headers):
-    response = client.post(
-        "api/v1/build/init/test",
-        json={"id": "test", "data": {"key": "value"}},
-        headers=logged_in_headers,
-    )
-    assert response.status_code == 201
-    assert response.json() == {"flowId": "test"}
-
-
-# def test_stream_build(client):
-#     client.post(
-#         "api/v1/build/init", json={"id": "stream_test", "data": {"key": "value"}}
-#     )
-
-#     # Test the stream
-#     response = client.get("api/v1/build/stream/stream_test")
-#     assert response.status_code == 200
-#     assert response.headers["content-type"] == "text/event-stream; charset=utf-8"
-
-
-def test_websocket_endpoint(client: TestClient, active_user, logged_in_headers):
-    # Assuming your websocket_endpoint uses chat_service which caches data from stream_build
-    access_token = logged_in_headers["Authorization"].split(" ")[1]
-    with pytest.raises(WebSocketDisconnect):
-        with client.websocket_connect(f"api/v1/chat/non_existing_client_id?token={access_token}") as websocket:
-            websocket.send_json({"type": "test"})
-            data = websocket.receive_json()
-            assert "Please, build the flow before sending messages" in data["message"]
-
-
-def test_websocket_endpoint_after_build(client, basic_graph_data):
-    # Assuming your websocket_endpoint uses chat_service which caches data from stream_build
-    client.post("api/v1/build/init", json=basic_graph_data)
-    client.get("api/v1/build/stream/websocket_test")
-
-    # There should be more to test here, but it depends on the inner workings of your websocket handler
-    # and how your chat_service and other classes behave. The following is just an example structure.
-    with pytest.raises(WebSocketDisconnect):
-        with client.websocket_connect("api/v1/chat/websocket_test") as websocket:
-            websocket.send_json({"input": "test"})
-            websocket.receive_json()
diff --git a/tests/unit/__init__.py b/tests/unit/__init__.py
new file mode 100644
index 00000000000..e69de29bb2d
diff --git a/tests/test_api_key.py b/tests/unit/test_api_key.py
similarity index 90%
rename from tests/test_api_key.py
rename to tests/unit/test_api_key.py
index 7988793d446..92d649cae32 100644
--- a/tests/test_api_key.py
+++ b/tests/unit/test_api_key.py
@@ -6,7 +6,7 @@
 def api_key(client, logged_in_headers, active_user):
     api_key = ApiKeyCreate(name="test-api-key")
 
-    response = client.post("api/v1/api_key", data=api_key.json(), headers=logged_in_headers)
+    response = client.post("api/v1/api_key", data=api_key.model_dump_json(), headers=logged_in_headers)
     assert response.status_code == 200, response.text
     return response.json()
 
@@ -21,7 +21,6 @@ def test_get_api_keys(client, logged_in_headers, api_key):
     assert any("test-api-key" in api_key["name"] for api_key in data["api_keys"])
     # assert all api keys in data["api_keys"] are masked
     assert all("**" in api_key["api_key"] for api_key in data["api_keys"])
-    # Add more assertions as needed based on the expected data structure and content
 
 
 def test_create_api_key(client, logged_in_headers):
diff --git a/tests/test_cache.py b/tests/unit/test_cache.py
similarity index 92%
rename from tests/test_cache.py
rename to tests/unit/test_cache.py
index 8cfebe230a1..6d4911efdfe 100644
--- a/tests/test_cache.py
+++ b/tests/unit/test_cache.py
@@ -39,7 +39,8 @@ def langchain_objects_are_equal(obj1, obj2):
 
 
 # Test build_graph
-def test_build_graph(client, basic_data_graph):
+@pytest.mark.asyncio
+async def test_build_graph(client, basic_data_graph):
     graph = Graph.from_payload(basic_data_graph)
     assert graph is not None
     assert len(graph.vertices) == len(basic_data_graph["nodes"])
diff --git a/tests/test_cli.py b/tests/unit/test_cli.py
similarity index 80%
rename from tests/test_cli.py
rename to tests/unit/test_cli.py
index ee95a271c32..75614054f2f 100644
--- a/tests/test_cli.py
+++ b/tests/unit/test_cli.py
@@ -2,7 +2,6 @@
 from tempfile import tempdir
 
 import pytest
-
 from langflow.__main__ import app
 from langflow.services import deps
 
@@ -17,6 +16,7 @@ def default_settings():
 
 def test_components_path(runner, client, default_settings):
     # Create a foldr in the tmp directory
+
     temp_dir = Path(tempdir)
     # create a "components" folder
     temp_dir = temp_dir / "components"
@@ -28,11 +28,10 @@ def test_components_path(runner, client, default_settings):
     )
     assert result.exit_code == 0, result.stdout
     settings_service = deps.get_settings_service()
-    assert str(temp_dir) in settings_service.settings.COMPONENTS_PATH
+    assert str(temp_dir) in settings_service.settings.components_path
 
 
 def test_superuser(runner, client, session):
     result = runner.invoke(app, ["superuser"], input="admin\nadmin\n")
     assert result.exit_code == 0, result.stdout
-    assert "Superuser creation failed." not in result.output, result.output
-    assert "Superuser created successfully." in result.output, result.output
+    assert "Superuser created successfully." in result.stdout
diff --git a/tests/test_custom_component.py b/tests/unit/test_custom_component.py
similarity index 80%
rename from tests/test_custom_component.py
rename to tests/unit/test_custom_component.py
index 1b85c919800..39636d28f48 100644
--- a/tests/test_custom_component.py
+++ b/tests/unit/test_custom_component.py
@@ -3,17 +3,26 @@
 from uuid import uuid4
 
 import pytest
-from langflow.interface.custom.base import CustomComponent
-from langflow.interface.custom.code_parser.code_parser import CodeParser, CodeSyntaxError
-from langflow.interface.custom.custom_component.component import Component, ComponentCodeNullError
-from langflow.interface.custom.utils import build_custom_component_template
+from langchain_core.documents import Document
+
+from langflow.custom import Component, CustomComponent
+from langflow.custom.code_parser.code_parser import CodeParser, CodeSyntaxError
+from langflow.custom.custom_component.base_component import BaseComponent, ComponentCodeNullError
+from langflow.custom.utils import build_custom_component_template
 from langflow.services.database.models.flow import Flow, FlowCreate
 
+
+@pytest.fixture
+def code_component_with_multiple_outputs():
+    with open("tests/data/component_multiple_outputs.py", "r") as f:
+        code = f.read()
+        return Component(code=code)
+
+
 code_default = """
-from langflow import Prompt
-from langflow.interface.custom.custom_component import CustomComponent
+from langflow.custom import CustomComponent
 
-from langchain.llms.base import BaseLLM
+from langflow.field_typing import BaseLanguageModel
 from langchain.chains import LLMChain
 from langchain.prompts import PromptTemplate
 from langchain_core.documents import Document
@@ -25,12 +34,8 @@ class YourComponent(CustomComponent):
     description: str = "Your description"
     field_config = { "url": { "multiline": True, "required": True } }
 
-    def build(self, url: str, llm: BaseLLM, template: Prompt) -> Document:
-        response = requests.get(url)
-        prompt = PromptTemplate.from_template(template)
-        chain = LLMChain(llm=llm, prompt=prompt)
-        result = chain.run(response.text[:300])
-        return Document(page_content=str(result))
+    def build(self, url: str, llm: BaseLanguageModel) -> Document:
+        return Document(page_content="Hello World")
 """
 
 
@@ -67,16 +72,16 @@ def test_component_init():
     """
     Test the initialization of the Component class.
     """
-    component = Component(code=code_default, _function_entrypoint_name="build")
+    component = BaseComponent(code=code_default, function_entrypoint_name="build")
     assert component.code == code_default
-    assert component._function_entrypoint_name == "build"
+    assert component.function_entrypoint_name == "build"
 
 
 def test_component_get_code_tree():
     """
     Test the get_code_tree method of the Component class.
     """
-    component = Component(code=code_default, _function_entrypoint_name="build")
+    component = BaseComponent(code=code_default, function_entrypoint_name="build")
     tree = component.get_code_tree(component.code)
     assert "imports" in tree
 
@@ -86,22 +91,11 @@ def test_component_code_null_error():
     Test the get_function method raises the
     ComponentCodeNullError when the code is empty.
     """
-    component = Component(code="", _function_entrypoint_name="")
+    component = BaseComponent(code="", function_entrypoint_name="")
     with pytest.raises(ComponentCodeNullError):
         component.get_function()
 
 
-# TODO: Validate if we should remove this
-# def test_component_function_entrypoint_name_null_error():
-#     """
-#     Test the get_function method raises the ComponentFunctionEntrypointNameNullError
-#     when the function_entrypoint_name is empty.
-#     """
-#     component = Component(code=code_default, _function_entrypoint_name="")
-#     with pytest.raises(ComponentFunctionEntrypointNameNullError):
-#         component.get_function()
-
-
 def test_custom_component_init():
     """
     Test the initialization of the CustomComponent class.
@@ -118,7 +112,7 @@ def test_custom_component_build_template_config():
     Test the build_template_config property of the CustomComponent class.
     """
     custom_component = CustomComponent(code=code_default, function_entrypoint_name="build")
-    config = custom_component.template_config
+    config = custom_component.build_template_config()
     assert isinstance(config, dict)
 
 
@@ -127,7 +121,7 @@ def test_custom_component_get_function():
     Test the get_function property of the CustomComponent class.
     """
     custom_component = CustomComponent(code="def build(): pass", function_entrypoint_name="build")
-    my_function = custom_component.get_function
+    my_function = custom_component.get_function()
     assert isinstance(my_function, types.FunctionType)
 
 
@@ -201,7 +195,7 @@ def test_component_get_function_valid():
     Test the get_function method of the Component
     class with valid code and function_entrypoint_name.
     """
-    component = Component(code="def build(): pass", _function_entrypoint_name="build")
+    component = BaseComponent(code="def build(): pass", function_entrypoint_name="build")
     my_function = component.get_function()
     assert callable(my_function)
 
@@ -213,7 +207,7 @@ def test_custom_component_get_function_entrypoint_args():
     """
     custom_component = CustomComponent(code=code_default, function_entrypoint_name="build")
     args = custom_component.get_function_entrypoint_args
-    assert len(args) == 4
+    assert len(args) == 3
     assert args[0]["name"] == "self"
     assert args[1]["name"] == "url"
     assert args[2]["name"] == "llm"
@@ -224,7 +218,6 @@ def test_custom_component_get_function_entrypoint_return_type():
     Test the get_function_entrypoint_return_type
     property of the CustomComponent class.
     """
-    from langchain_core.documents import Document
 
     custom_component = CustomComponent(code=code_default, function_entrypoint_name="build")
     return_type = custom_component.get_function_entrypoint_return_type
@@ -309,7 +302,7 @@ def test_code_parser_parse_ann_assign():
     stmt = ast.AnnAssign(
         target=ast.Name(id="x", ctx=ast.Store()),
         annotation=ast.Name(id="int", ctx=ast.Load()),
-        value=ast.Constant(n=1),
+        value=ast.Num(n=1),
         simple=1,
     )
     result = parser.parse_ann_assign(stmt)
@@ -359,11 +352,21 @@ def test_component_get_code_tree_syntax_error():
     Test the get_code_tree method of the Component class
     raises the CodeSyntaxError when given incorrect syntax.
     """
-    component = Component(code="import os as", _function_entrypoint_name="build")
+    component = BaseComponent(code="import os as", function_entrypoint_name="build")
     with pytest.raises(CodeSyntaxError):
         component.get_code_tree(component.code)
 
 
+def test_custom_component_class_template_validation_no_code():
+    """
+    Test the _class_template_validation method of the CustomComponent class
+    raises the HTTPException when the code is None.
+    """
+    custom_component = CustomComponent(code=None, function_entrypoint_name="build")
+    with pytest.raises(TypeError):
+        custom_component.get_function()
+
+
 def test_custom_component_get_code_tree_syntax_error():
     """
     Test the get_code_tree method of the CustomComponent class
@@ -520,34 +523,6 @@ def test_build_config_field_value_keys(component):
     assert all("type" in value for value in field_values)
 
 
-def test_create_and_validate_component_valid_code(test_component_code):
-    component = CustomComponent(code=test_component_code)
-    assert isinstance(component, CustomComponent)
-
-
-def test_build_langchain_template_custom_component_valid_code(test_component_code):
-    component = CustomComponent(code=test_component_code)
-    frontend_node = build_custom_component_template(component)
-    assert isinstance(frontend_node, dict)
-    template = frontend_node["template"]
-    assert isinstance(template, dict)
-    assert "param" in template
-    param_options = template["param"]["options"]
-    # Now run it again with an update field
-    frontend_node = build_custom_component_template(component, update_field="param")
-    new_param_options = frontend_node["template"]["param"]["options"]
-    assert param_options != new_param_options
-
-
-def test_build_langchain_template_custom_component_templatefield(test_component_with_templatefield_code):
-    component = CustomComponent(code=test_component_with_templatefield_code)
-    frontend_node = build_custom_component_template(component)
-    assert isinstance(frontend_node, dict)
-    template = frontend_node["template"]
-    assert isinstance(template, dict)
-    assert "param" in template
-    param_options = template["param"]["options"]
-    # Now run it again with an update field
-    frontend_node = build_custom_component_template(component, update_field="param")
-    new_param_options = frontend_node["template"]["param"]["options"]
-    assert param_options != new_param_options
+def test_custom_component_multiple_outputs(code_component_with_multiple_outputs, active_user):
+    frontnd_node_dict, _ = build_custom_component_template(code_component_with_multiple_outputs, active_user.id)
+    assert frontnd_node_dict["outputs"][0]["types"] == ["Text"]
diff --git a/tests/unit/test_data_class.py b/tests/unit/test_data_class.py
new file mode 100644
index 00000000000..83ee12bd02a
--- /dev/null
+++ b/tests/unit/test_data_class.py
@@ -0,0 +1,140 @@
+import pytest
+from langchain_core.documents import Document
+from langflow.schema import Data
+
+
+def test_data_initialization():
+    record = Data(text_key="msg", data={"msg": "Hello, World!", "extra": "value"})
+    assert record.msg == "Hello, World!"
+    assert record.extra == "value"
+
+
+def test_validate_data_with_extra_keys():
+    record = Data(dummy_key="dummy", data={"key": "value"})
+    assert record.data["dummy_key"] == "dummy"
+    assert "dummy_key" in record.data
+    assert record.key == "value"
+
+
+def test_conversion_to_document():
+    record = Data(data={"text": "Sample text", "meta": "data"})
+    document = record.to_lc_document()
+    assert document.page_content == "Sample text"
+    assert document.metadata == {"meta": "data"}
+
+
+def test_conversion_from_document():
+    document = Document(page_content="Doc content", metadata={"meta": "info"})
+    record = Data.from_document(document)
+    assert record.text == "Doc content"
+    assert record.meta == "info"
+
+
+def test_add_method_for_strings():
+    record1 = Data(data={"text": "Hello"})
+    record2 = Data(data={"text": " World"})
+    combined = record1 + record2
+    assert combined.text == "Hello World"
+
+
+def test_add_method_for_integers():
+    record1 = Data(data={"number": 5})
+    record2 = Data(data={"number": 10})
+    combined = record1 + record2
+    assert combined.number == 15
+
+
+def test_add_method_with_non_overlapping_keys():
+    record1 = Data(data={"text": "Hello"})
+    record2 = Data(data={"number": 10})
+    combined = record1 + record2
+    assert combined.text == "Hello"
+    assert combined.number == 10
+
+
+def test_custom_attribute_get_set_del():
+    record = Data()
+    record.custom_attr = "custom_value"
+    assert record.custom_attr == "custom_value"
+    del record.custom_attr
+    with pytest.raises(AttributeError):
+        _ = record.custom_attr
+
+
+def test_deep_copy():
+    import copy
+
+    record1 = Data(data={"text": "Hello", "number": 10})
+    record2 = copy.deepcopy(record1)
+    assert record2.text == "Hello"
+    assert record2.number == 10
+    record2.text = "World"
+    assert record1.text == "Hello"  # Ensure original is unchanged
+
+
+def test_custom_attribute_setting_and_getting():
+    record = Data()
+    record.dynamic_attribute = "Dynamic Value"
+    assert record.dynamic_attribute == "Dynamic Value"
+
+
+def test_str_and_dir_methods():
+    record = Data(text_key="text", data={"text": "Test Text", "key": "value"})
+    assert "Test Text" in str(record)
+    assert "key" in dir(record)
+    assert "data" in dir(record)
+
+
+def test_dir_includes_data_keys():
+    record = Data(data={"text": "Hello", "new_attr": "value"})
+    dir_output = dir(record)
+
+    # Check for standard attributes
+    assert "data" in dir_output
+    assert "text_key" in dir_output
+    assert "__add__" in dir_output  # Checking for a method
+
+    # Check for dynamic attributes from data
+    assert "text" in dir_output
+    assert "new_attr" in dir_output
+
+    # Optionally, verify that dynamically added attributes are listed
+    record.dynamic_attr = "dynamic"
+    assert "dynamic_attr" in dir_output or "dynamic_attr" in dir(record)  # To account for the change
+
+
+def test_dir_reflects_attribute_deletion():
+    record = Data(data={"removable": "I can be removed"})
+    assert "removable" in dir(record)
+
+    # Delete the attribute and check again
+    del record.removable
+    assert "removable" not in dir(record)
+
+
+def test_get_text_with_text_key():
+    data = {"text": "Hello, World!"}
+    schema = Data(data=data, text_key="text", default_value="default")
+    result = schema.get_text()
+    assert result == "Hello, World!"
+
+
+def test_get_text_without_text_key():
+    data = {"other_key": "Hello, World!"}
+    schema = Data(data=data, text_key="text", default_value="default")
+    result = schema.get_text()
+    assert result == "default"
+
+
+def test_get_text_with_empty_data():
+    data = {}
+    schema = Data(data=data, text_key="text", default_value="default")
+    result = schema.get_text()
+    assert result == "default"
+
+
+def test_get_text_with_none_data():
+    data = None
+    schema = Data(data=data, text_key="text", default_value="default")
+    result = schema.get_text()
+    assert result == "default"
diff --git a/tests/unit/test_data_components.py b/tests/unit/test_data_components.py
new file mode 100644
index 00000000000..79b6c300eb6
--- /dev/null
+++ b/tests/unit/test_data_components.py
@@ -0,0 +1,201 @@
+import json
+import os
+from pathlib import Path
+from unittest.mock import Mock, patch
+
+import httpx
+import pytest
+import respx
+from dictdiffer import diff
+from httpx import Response
+
+from langflow.components import data
+
+
+@pytest.fixture
+def api_request():
+    # This fixture provides an instance of APIRequest for each test case
+    return data.APIRequestComponent()
+
+
+@pytest.mark.asyncio
+@respx.mock
+async def test_successful_get_request(api_request):
+    # Mocking a successful GET request
+    url = "https://example.com/api/test"
+    method = "GET"
+    mock_response = {"success": True}
+    respx.get(url).mock(return_value=Response(200, json=mock_response))
+
+    # Making the request
+    result = await api_request.make_request(client=httpx.AsyncClient(), method=method, url=url)
+
+    # Assertions
+    assert result.data["status_code"] == 200
+    assert result.data["result"] == mock_response
+
+
+def test_parse_curl(api_request):
+    # Arrange
+    field_value = (
+        "curl -X GET https://example.com/api/test -H 'Content-Type: application/json' -d '{\"key\": \"value\"}'"
+    )
+    build_config = {
+        "method": {"value": ""},
+        "urls": {"value": []},
+        "headers": {},
+        "body": {},
+    }
+    # Act
+    new_build_config = api_request.parse_curl(field_value, build_config.copy())
+
+    # Assert
+    assert new_build_config["method"]["value"] == "GET"
+    assert new_build_config["urls"]["value"] == ["https://example.com/api/test"]
+    assert new_build_config["headers"]["value"] == {"Content-Type": "application/json"}
+    assert new_build_config["body"]["value"] == {"key": "value"}
+
+
+@pytest.mark.asyncio
+@respx.mock
+async def test_failed_request(api_request):
+    # Mocking a failed GET request
+    url = "https://example.com/api/test"
+    method = "GET"
+    respx.get(url).mock(return_value=Response(404))
+
+    # Making the request
+    result = await api_request.make_request(client=httpx.AsyncClient(), method=method, url=url)
+
+    # Assertions
+    assert result.data["status_code"] == 404
+
+
+@pytest.mark.asyncio
+@respx.mock
+async def test_timeout(api_request):
+    # Mocking a timeout
+    url = "https://example.com/api/timeout"
+    method = "GET"
+    respx.get(url).mock(side_effect=httpx.TimeoutException(message="Timeout", request=None))
+
+    # Making the request
+    result = await api_request.make_request(client=httpx.AsyncClient(), method=method, url=url, timeout=1)
+
+    # Assertions
+    assert result.data["status_code"] == 408
+    assert result.data["error"] == "Request timed out"
+
+
+@pytest.mark.asyncio
+@respx.mock
+async def test_build_with_multiple_urls(api_request):
+    # This test depends on having a working internet connection and accessible URLs
+    # It's better to mock these requests using respx or a similar library
+
+    # Setup for multiple URLs
+    method = "GET"
+    urls = ["https://example.com/api/one", "https://example.com/api/two"]
+    # You would mock these requests similarly to the single request tests
+    for url in urls:
+        respx.get(url).mock(return_value=Response(200, json={"success": True}))
+
+    # Do I have to mock the async client?
+    #
+
+    # Execute the build method
+    api_request.set_attributes(
+        {
+            "method": method,
+            "urls": urls,
+        }
+    )
+    results = await api_request.make_requests()
+
+    # Assertions
+    assert len(results) == len(urls)
+
+
+@patch("langflow.components.data.Directory.parallel_load_data")
+@patch("langflow.components.data.Directory.retrieve_file_paths")
+@patch("langflow.components.data.DirectoryComponent.resolve_path")
+def test_directory_component_build_with_multithreading(
+    mock_resolve_path, mock_retrieve_file_paths, mock_parallel_load_data
+):
+    # Arrange
+    directory_component = data.DirectoryComponent()
+    path = os.path.dirname(os.path.abspath(__file__))
+    depth = 1
+    max_concurrency = 2
+    load_hidden = False
+    recursive = True
+    silent_errors = False
+    use_multithreading = True
+
+    mock_resolve_path.return_value = path
+    mock_retrieve_file_paths.return_value = [
+        os.path.join(path, file) for file in os.listdir(path) if file.endswith(".py")
+    ]
+    mock_parallel_load_data.return_value = [Mock()]
+
+    # Act
+    directory_component.set_attributes(
+        {
+            "path": path,
+            "depth": depth,
+            "max_concurrency": max_concurrency,
+            "load_hidden": load_hidden,
+            "recursive": recursive,
+            "silent_errors": silent_errors,
+            "use_multithreading": use_multithreading,
+        }
+    )
+    directory_component.load_directory()
+
+    # Assert
+    mock_resolve_path.assert_called_once_with(path)
+    mock_retrieve_file_paths.assert_called_once_with(path, load_hidden, recursive, depth)
+    mock_parallel_load_data.assert_called_once_with(
+        mock_retrieve_file_paths.return_value, silent_errors, max_concurrency
+    )
+
+
+def test_directory_without_mocks():
+    directory_component = data.DirectoryComponent()
+    from langflow.initial_setup import setup
+    from langflow.initial_setup.setup import load_starter_projects
+
+    _, projects = zip(*load_starter_projects())
+    # the setup module has a folder where the projects are stored
+    # the contents of that folder are in the projects variable
+    # the directory component can be used to load the projects
+    # and we can validate if the contents are the same as the projects variable
+    setup_path = Path(setup.__file__).parent / "starter_projects"
+    directory_component.set_attributes({"path": str(setup_path), "use_multithreading": False})
+    results = directory_component.load_directory()
+    assert len(results) == len(projects)
+    # each result is a Data that contains the content attribute
+    # each are dict that are exactly the same as one of the projects
+    for i, result in enumerate(results):
+        file_dict = json.loads(result.text)
+        assert file_dict in projects, list(diff(file_dict, projects[i]))
+
+    # in ../docs/docs/components there are many mdx files
+    # check if the directory component can load them
+    # just check if the number of results is the same as the number of files
+    directory_component = data.DirectoryComponent()
+    docs_path = Path(__file__).parent.parent.parent / "docs" / "docs" / "components"
+    directory_component.set_attributes({"path": str(docs_path), "use_multithreading": False})
+    results = directory_component.load_directory()
+    docs_files = list(docs_path.glob("*.mdx"))
+    assert len(results) == len(docs_files)
+
+
+def test_url_component():
+    url_component = data.URLComponent()
+    url_component.set_attributes({"urls": ["https://langflow.org"]})
+    # the url component can be used to load the contents of a website
+    _data = url_component.fetch_content()
+    assert all(value.data for value in _data)
+    assert all(value.text for value in _data)
+    assert all(value.source for value in _data)
diff --git a/tests/test_database.py b/tests/unit/test_database.py
similarity index 81%
rename from tests/test_database.py
rename to tests/unit/test_database.py
index f52252856b7..e09f9f62e2b 100644
--- a/tests/test_database.py
+++ b/tests/unit/test_database.py
@@ -3,12 +3,14 @@
 import orjson
 import pytest
 from fastapi.testclient import TestClient
+from sqlmodel import Session
+
 from langflow.api.v1.schemas import FlowListCreate
+from langflow.initial_setup.setup import load_starter_projects, load_flows_from_directory
 from langflow.services.database.models.base import orjson_dumps
 from langflow.services.database.models.flow import Flow, FlowCreate, FlowUpdate
 from langflow.services.database.utils import session_getter
 from langflow.services.deps import get_db_service
-from sqlmodel import Session
 
 
 @pytest.fixture(scope="module")
@@ -28,13 +30,13 @@ def json_style():
 def test_create_flow(client: TestClient, json_flow: str, active_user, logged_in_headers):
     flow = orjson.loads(json_flow)
     data = flow["data"]
-    flow = FlowCreate(name="Test Flow", description="description", data=data)
+    flow = FlowCreate(name=str(uuid4()), description="description", data=data)
     response = client.post("api/v1/flows/", json=flow.model_dump(), headers=logged_in_headers)
     assert response.status_code == 201
     assert response.json()["name"] == flow.name
     assert response.json()["data"] == flow.data
     # flow is optional so we can create a flow without a flow
-    flow = FlowCreate(name="Test Flow", description="description")
+    flow = FlowCreate(name="Test Flow")
     response = client.post("api/v1/flows/", json=flow.model_dump(exclude_unset=True), headers=logged_in_headers)
     assert response.status_code == 201
     assert response.json()["name"] == flow.name
@@ -44,13 +46,13 @@ def test_create_flow(client: TestClient, json_flow: str, active_user, logged_in_
 def test_read_flows(client: TestClient, json_flow: str, active_user, logged_in_headers):
     flow_data = orjson.loads(json_flow)
     data = flow_data["data"]
-    flow = FlowCreate(name="Test Flow", description="description", data=data)
+    flow = FlowCreate(name=str(uuid4()), description="description", data=data)
     response = client.post("api/v1/flows/", json=flow.model_dump(), headers=logged_in_headers)
     assert response.status_code == 201
     assert response.json()["name"] == flow.name
     assert response.json()["data"] == flow.data
 
-    flow = FlowCreate(name="Test Flow", description="description", data=data)
+    flow = FlowCreate(name=str(uuid4()), description="description", data=data)
     response = client.post("api/v1/flows/", json=flow.model_dump(), headers=logged_in_headers)
     assert response.status_code == 201
     assert response.json()["name"] == flow.name
@@ -108,6 +110,21 @@ def test_delete_flow(client: TestClient, json_flow: str, active_user, logged_in_
     assert response.json()["message"] == "Flow deleted successfully"
 
 
+def test_delete_flows(client: TestClient, json_flow: str, active_user, logged_in_headers):
+    # Create ten flows
+    number_of_flows = 10
+    flows = [FlowCreate(name=f"Flow {i}", description="description", data={}) for i in range(number_of_flows)]
+    flow_ids = []
+    for flow in flows:
+        response = client.post("api/v1/flows/", json=flow.model_dump(), headers=logged_in_headers)
+        assert response.status_code == 201
+        flow_ids.append(response.json()["id"])
+
+    response = client.request("DELETE", "api/v1/flows/", headers=logged_in_headers, json=flow_ids)
+    assert response.status_code == 200, response.content
+    assert response.json().get("deleted") == number_of_flows
+
+
 def test_create_flows(client: TestClient, session: Session, json_flow: str, logged_in_headers):
     flow = orjson.loads(json_flow)
     data = flow["data"]
@@ -119,7 +136,7 @@ def test_create_flows(client: TestClient, session: Session, json_flow: str, logg
         ]
     )
     # Make request to endpoint
-    response = client.post("api/v1/flows/batch/", json=flow_list.model_dump(), headers=logged_in_headers)
+    response = client.post("api/v1/flows/batch/", json=flow_list.dict(), headers=logged_in_headers)
     # Check response status code
     assert response.status_code == 201
     # Check response data
@@ -143,7 +160,7 @@ def test_upload_file(client: TestClient, session: Session, json_flow: str, logge
             FlowCreate(name="Flow 2", description="description", data=data),
         ]
     )
-    file_contents = orjson_dumps(flow_list.model_dump())
+    file_contents = orjson_dumps(flow_list.dict())
     response = client.post(
         "api/v1/flows/upload/",
         files={"file": ("examples.json", file_contents, "application/json")},
@@ -191,7 +208,9 @@ def test_download_file(
     assert response.status_code == 200, response.json()
     # Check response data
     response_data = response.json()["flows"]
-    assert len(response_data) == 2, response_data
+    starter_projects = load_starter_projects()
+    number_of_projects = len(starter_projects) + len(flow_list.flows)
+    assert len(response_data) == number_of_projects, response_data
     assert response_data[0]["name"] == "Flow 1"
     assert response_data[0]["description"] == "description"
     assert response_data[0]["data"] == data
@@ -216,7 +235,7 @@ def test_update_flow_idempotency(client: TestClient, json_flow: str, active_user
     flow_data = orjson.loads(json_flow)
     data = flow_data["data"]
     flow_data = FlowCreate(name="Test Flow", description="description", data=data)
-    response = client.post("api/v1/flows/", json=flow_data.model_dump(), headers=logged_in_headers)
+    response = client.post("api/v1/flows/", json=flow_data.dict(), headers=logged_in_headers)
     flow_id = response.json()["id"]
     updated_flow = FlowCreate(name="Updated Flow", description="description", data=data)
     response1 = client.put(f"api/v1/flows/{flow_id}", json=updated_flow.model_dump(), headers=logged_in_headers)
@@ -234,7 +253,7 @@ def test_update_nonexistent_flow(client: TestClient, json_flow: str, active_user
         data=data,
     )
     response = client.patch(f"api/v1/flows/{uuid}", json=updated_flow.model_dump(), headers=logged_in_headers)
-    assert response.status_code == 404
+    assert response.status_code == 404, response.text
 
 
 def test_delete_nonexistent_flow(client: TestClient, active_user, logged_in_headers):
@@ -243,7 +262,20 @@ def test_delete_nonexistent_flow(client: TestClient, active_user, logged_in_head
     assert response.status_code == 404
 
 
-def test_read_empty_flows(client: TestClient, active_user, logged_in_headers):
+def test_read_only_starter_projects(client: TestClient, active_user, logged_in_headers):
     response = client.get("api/v1/flows/", headers=logged_in_headers)
+    starter_projects = load_starter_projects()
+    assert response.status_code == 200
+    assert len(response.json()) == len(starter_projects)
+
+
+@pytest.mark.load_flows
+def test_load_flows(client: TestClient, load_flows_dir):
+    response = client.get("api/v1/flows/c54f9130-f2fa-4a3e-b22a-3856d946351b")
+    assert response.status_code == 200
+    assert response.json()["name"] == "BasicExample"
+    # re-run to ensure updates work well
+    load_flows_from_directory()
+    response = client.get("api/v1/flows/c54f9130-f2fa-4a3e-b22a-3856d946351b")
     assert response.status_code == 200
-    assert len(response.json()) == 0
+    assert response.json()["name"] == "BasicExample"
diff --git a/tests/unit/test_files.py b/tests/unit/test_files.py
new file mode 100644
index 00000000000..b3a85cf03c1
--- /dev/null
+++ b/tests/unit/test_files.py
@@ -0,0 +1,104 @@
+from unittest.mock import MagicMock
+
+import pytest
+
+from langflow.services.deps import get_storage_service
+from langflow.services.storage.service import StorageService
+
+
+@pytest.fixture
+def mock_storage_service():
+    # Create a mock instance of StorageService
+    service = MagicMock(spec=StorageService)
+    # Setup mock behaviors for the service methods as needed
+    service.save_file.return_value = None
+    service.get_file.return_value = b"file content"  # Binary content for files
+    service.list_files.return_value = ["file1.txt", "file2.jpg"]
+    service.delete_file.return_value = None
+    return service
+
+
+def test_upload_file(client, mock_storage_service, created_api_key, flow):
+    headers = {"x-api-key": created_api_key.api_key}
+    # Replace the actual storage service with the mock
+    client.app.dependency_overrides[get_storage_service] = lambda: mock_storage_service
+
+    response = client.post(
+        f"api/v1/files/upload/{flow.id}",
+        files={"file": ("test.txt", b"test content")},
+        headers=headers,
+    )
+    assert response.status_code == 201
+    assert response.json() == {
+        "flowId": str(flow.id),
+        "file_path": f"{flow.id}/test.txt",
+    }
+
+
+def test_download_file(client, mock_storage_service, created_api_key, flow):
+    headers = {"x-api-key": created_api_key.api_key}
+    client.app.dependency_overrides[get_storage_service] = lambda: mock_storage_service
+
+    response = client.get(f"api/v1/files/download/{flow.id}/test.txt", headers=headers)
+    assert response.status_code == 200
+    assert response.content == b"file content"
+
+
+def test_list_files(client, mock_storage_service, created_api_key, flow):
+    headers = {"x-api-key": created_api_key.api_key}
+    client.app.dependency_overrides[get_storage_service] = lambda: mock_storage_service
+
+    response = client.get(f"api/v1/files/list/{flow.id}", headers=headers)
+    assert response.status_code == 200
+    assert response.json() == {"files": ["file1.txt", "file2.jpg"]}
+
+
+def test_delete_file(client, mock_storage_service, created_api_key, flow):
+    headers = {"x-api-key": created_api_key.api_key}
+    client.app.dependency_overrides[get_storage_service] = lambda: mock_storage_service
+
+    response = client.delete(f"api/v1/files/delete/{flow.id}/test.txt", headers=headers)
+    assert response.status_code == 200
+    assert response.json() == {"message": "File test.txt deleted successfully"}
+
+
+def test_file_operations(client, created_api_key, flow):
+    headers = {"x-api-key": created_api_key.api_key}
+    flow_id = flow.id
+    file_name = "test.txt"
+    file_content = b"Hello, world!"
+
+    # Step 1: Upload the file
+    response = client.post(
+        f"api/v1/files/upload/{flow_id}",
+        files={"file": (file_name, file_content)},
+        headers=headers,
+    )
+    assert response.status_code == 201
+    assert response.json() == {
+        "flowId": str(flow_id),
+        "file_path": f"{flow_id}/{file_name}",
+    }
+
+    # Step 2: List files in the folder
+    response = client.get(f"api/v1/files/list/{flow_id}", headers=headers)
+    assert response.status_code == 200
+    assert file_name in response.json()["files"]
+
+    # Step 3: Download the file and verify its content
+
+    response = client.get(f"api/v1/files/download/{flow_id}/{file_name}", headers=headers)
+    assert response.status_code == 200
+    assert response.content == file_content
+    # the headers are application/octet-stream
+    assert response.headers["content-type"] == "application/octet-stream"
+    # mime_type is inside media_type
+
+    # Step 4: Delete the file
+    response = client.delete(f"api/v1/files/delete/{flow_id}/{file_name}", headers=headers)
+    assert response.status_code == 200
+    assert response.json() == {"message": f"File {file_name} deleted successfully"}
+
+    # Verify that the file is indeed deleted
+    response = client.get(f"api/v1/files/list/{flow_id}", headers=headers)
+    assert file_name not in response.json()["files"]
diff --git a/tests/test_frontend_nodes.py b/tests/unit/test_frontend_nodes.py
similarity index 82%
rename from tests/test_frontend_nodes.py
rename to tests/unit/test_frontend_nodes.py
index e92ad1fe4cb..ad3c44832a4 100644
--- a/tests/test_frontend_nodes.py
+++ b/tests/unit/test_frontend_nodes.py
@@ -1,16 +1,17 @@
 import pytest
-from langflow.template.field.base import TemplateField
+
+from langflow.template.field.base import Input
 from langflow.template.frontend_node.base import FrontendNode
 from langflow.template.template.base import Template
 
 
 @pytest.fixture
-def sample_template_field() -> TemplateField:
-    return TemplateField(name="test_field", field_type="str")
+def sample_template_field() -> Input:
+    return Input(name="test_field", field_type="str")
 
 
 @pytest.fixture
-def sample_template(sample_template_field: TemplateField) -> Template:
+def sample_template(sample_template_field: Input) -> Template:
     return Template(type_name="test_template", fields=[sample_template_field])
 
 
@@ -24,21 +25,21 @@ def sample_frontend_node(sample_template: Template) -> FrontendNode:
     )
 
 
-def test_template_field_defaults(sample_template_field: TemplateField):
+def test_template_field_defaults(sample_template_field: Input):
     assert sample_template_field.field_type == "str"
     assert sample_template_field.required is False
     assert sample_template_field.placeholder == ""
     assert sample_template_field.is_list is False
     assert sample_template_field.show is True
     assert sample_template_field.multiline is False
-    assert sample_template_field.value == ""
+    assert sample_template_field.value is None
     assert sample_template_field.file_types == []
     assert sample_template_field.file_path == ""
     assert sample_template_field.password is False
     assert sample_template_field.name == "test_field"
 
 
-def test_template_to_dict(sample_template: Template, sample_template_field: TemplateField):
+def test_template_to_dict(sample_template: Template, sample_template_field: Input):
     template_dict = sample_template.to_dict()
     assert template_dict["_type"] == "test_template"
     assert len(template_dict) == 2  # _type and test_field
diff --git a/tests/unit/test_graph.py b/tests/unit/test_graph.py
new file mode 100644
index 00000000000..ec69051d290
--- /dev/null
+++ b/tests/unit/test_graph.py
@@ -0,0 +1,418 @@
+import copy
+import json
+import pickle
+from typing import Type, Union
+
+import pytest
+
+from langflow.graph import Graph
+from langflow.graph.edge.base import Edge
+from langflow.graph.graph.utils import (
+    find_last_node,
+    process_flow,
+    set_new_target_handle,
+    ungroup_node,
+    update_source_handle,
+    update_target_handle,
+    update_template,
+)
+from langflow.graph.vertex.base import Vertex
+from langflow.initial_setup.setup import load_starter_projects
+from langflow.utils.payload import get_root_vertex
+
+# Test cases for the graph module
+
+# now we have three types of graph:
+# BASIC_EXAMPLE_PATH, COMPLEX_EXAMPLE_PATH, OPENAPI_EXAMPLE_PATH
+
+
+@pytest.fixture
+def sample_template():
+    return {
+        "field1": {"proxy": {"field": "some_field", "id": "node1"}},
+        "field2": {"proxy": {"field": "other_field", "id": "node2"}},
+    }
+
+
+@pytest.fixture
+def sample_nodes():
+    return [
+        {
+            "id": "node1",
+            "data": {"node": {"template": {"some_field": {"show": True, "advanced": False, "name": "Name1"}}}},
+        },
+        {
+            "id": "node2",
+            "data": {
+                "node": {
+                    "template": {
+                        "other_field": {
+                            "show": False,
+                            "advanced": True,
+                            "display_name": "DisplayName2",
+                        }
+                    }
+                }
+            },
+        },
+        {
+            "id": "node3",
+            "data": {"node": {"template": {"unrelated_field": {"show": True, "advanced": True}}}},
+        },
+    ]
+
+
+def get_node_by_type(graph, node_type: Type[Vertex]) -> Union[Vertex, None]:
+    """Get a node by type"""
+    return next((node for node in graph.vertices if isinstance(node, node_type)), None)
+
+
+def test_graph_structure(basic_graph):
+    assert isinstance(basic_graph, Graph)
+    assert len(basic_graph.vertices) > 0
+    assert len(basic_graph.edges) > 0
+    for node in basic_graph.vertices:
+        assert isinstance(node, Vertex)
+    for edge in basic_graph.edges:
+        assert isinstance(edge, Edge)
+        source_vertex = basic_graph.get_vertex(edge.source_id)
+        target_vertex = basic_graph.get_vertex(edge.target_id)
+        assert source_vertex in basic_graph.vertices
+        assert target_vertex in basic_graph.vertices
+
+
+def test_circular_dependencies(basic_graph):
+    assert isinstance(basic_graph, Graph)
+
+    def check_circular(node, visited):
+        visited.add(node)
+        neighbors = basic_graph.get_vertices_with_target(node)
+        for neighbor in neighbors:
+            if neighbor in visited:
+                return True
+            if check_circular(neighbor, visited.copy()):
+                return True
+        return False
+
+    for node in basic_graph.vertices:
+        assert not check_circular(node, set())
+
+
+def test_invalid_node_types():
+    graph_data = {
+        "nodes": [
+            {
+                "id": "1",
+                "data": {
+                    "node": {
+                        "base_classes": ["BaseClass"],
+                        "template": {
+                            "_type": "InvalidNodeType",
+                        },
+                    },
+                },
+            },
+        ],
+        "edges": [],
+    }
+    with pytest.raises(Exception):
+        Graph(graph_data["nodes"], graph_data["edges"])
+
+
+def test_get_vertices_with_target(basic_graph):
+    """Test getting connected nodes"""
+    assert isinstance(basic_graph, Graph)
+    # Get root node
+    root = get_root_vertex(basic_graph)
+    assert root is not None
+    connected_nodes = basic_graph.get_vertices_with_target(root.id)
+    assert connected_nodes is not None
+
+
+def test_get_node_neighbors_basic(basic_graph):
+    """Test getting node neighbors"""
+
+    assert isinstance(basic_graph, Graph)
+    # Get root node
+    root = get_root_vertex(basic_graph)
+    assert root is not None
+    neighbors = basic_graph.get_vertex_neighbors(root)
+    assert neighbors is not None
+    assert isinstance(neighbors, dict)
+    # Root Node is an Agent, it requires an LLMChain and tools
+    # We need to check if there is a Chain in the one of the neighbors'
+    # data attribute in the type key
+    assert any("ConversationBufferMemory" in neighbor.data["type"] for neighbor, val in neighbors.items() if val)
+
+    assert any("OpenAI" in neighbor.data["type"] for neighbor, val in neighbors.items() if val)
+
+
+def test_get_node(basic_graph):
+    """Test getting a single node"""
+    node_id = basic_graph.vertices[0].id
+    node = basic_graph.get_vertex(node_id)
+    assert isinstance(node, Vertex)
+    assert node.id == node_id
+
+
+def test_build_nodes(basic_graph):
+    """Test building nodes"""
+
+    assert len(basic_graph.vertices) == len(basic_graph._vertices)
+    for node in basic_graph.vertices:
+        assert isinstance(node, Vertex)
+
+
+def test_build_edges(basic_graph):
+    """Test building edges"""
+    assert len(basic_graph.edges) == len(basic_graph._edges)
+    for edge in basic_graph.edges:
+        assert isinstance(edge, Edge)
+        assert isinstance(edge.source_id, str)
+        assert isinstance(edge.target_id, str)
+
+
+def test_get_root_vertex(client, basic_graph, complex_graph):
+    """Test getting root node"""
+    assert isinstance(basic_graph, Graph)
+    root = get_root_vertex(basic_graph)
+    assert root is not None
+    assert isinstance(root, Vertex)
+    assert root.data["type"] == "TimeTravelGuideChain"
+    # For complex example, the root node is a ZeroShotAgent too
+    assert isinstance(complex_graph, Graph)
+    root = get_root_vertex(complex_graph)
+    assert root is not None
+    assert isinstance(root, Vertex)
+    assert root.data["type"] == "ZeroShotAgent"
+
+
+def test_validate_edges(basic_graph):
+    """Test validating edges"""
+
+    assert isinstance(basic_graph, Graph)
+    # all edges should be valid
+    assert all(edge.valid for edge in basic_graph.edges)
+
+
+def test_matched_type(basic_graph):
+    """Test matched type attribute in Edge"""
+    assert isinstance(basic_graph, Graph)
+    # all edges should be valid
+    assert all(edge.valid for edge in basic_graph.edges)
+    # all edges should have a matched_type attribute
+    assert all(hasattr(edge, "matched_type") for edge in basic_graph.edges)
+    # The matched_type attribute should be in the source_types attr
+    assert all(edge.matched_type in edge.source_types for edge in basic_graph.edges)
+
+
+def test_build_params(basic_graph):
+    """Test building params"""
+
+    assert isinstance(basic_graph, Graph)
+    # all edges should be valid
+    assert all(edge.valid for edge in basic_graph.edges)
+    # all edges should have a matched_type attribute
+    assert all(hasattr(edge, "matched_type") for edge in basic_graph.edges)
+    # The matched_type attribute should be in the source_types attr
+    assert all(edge.matched_type in edge.source_types for edge in basic_graph.edges)
+    # Get the root node
+    root = get_root_vertex(basic_graph)
+    # Root node is a TimeTravelGuideChain
+    # which requires an llm and memory
+    assert root is not None
+    assert isinstance(root.params, dict)
+    assert "llm" in root.params
+    assert "memory" in root.params
+
+
+# def test_wrapper_node_build(openapi_graph):
+#     wrapper_node = get_node_by_type(openapi_graph, WrapperVertex)
+#     assert wrapper_node is not None
+#     built_object = wrapper_node.build()
+#     assert built_object is not None
+
+
+def test_find_last_node(grouped_chat_json_flow):
+    grouped_chat_data = json.loads(grouped_chat_json_flow).get("data")
+    nodes, edges = grouped_chat_data["nodes"], grouped_chat_data["edges"]
+    last_node = find_last_node(nodes, edges)
+    assert last_node is not None  # Replace with the actual expected value
+    assert last_node["id"] == "LLMChain-pimAb"  # Replace with the actual expected value
+
+
+def test_ungroup_node(grouped_chat_json_flow):
+    grouped_chat_data = json.loads(grouped_chat_json_flow).get("data")
+    group_node = grouped_chat_data["nodes"][2]  # Assuming the first node is a group node
+    base_flow = copy.deepcopy(grouped_chat_data)
+    ungroup_node(group_node["data"], base_flow)
+    # after ungroup_node is called, the base_flow and grouped_chat_data should be different
+    assert base_flow != grouped_chat_data
+    # assert node 2 is not a group node anymore
+    assert base_flow["nodes"][2]["data"]["node"].get("flow") is None
+    # assert the edges are updated
+    assert len(base_flow["edges"]) > len(grouped_chat_data["edges"])
+    assert base_flow["edges"][0]["source"] == "ConversationBufferMemory-kUMif"
+    assert base_flow["edges"][0]["target"] == "LLMChain-2P369"
+    assert base_flow["edges"][1]["source"] == "PromptTemplate-Wjk4g"
+    assert base_flow["edges"][1]["target"] == "LLMChain-2P369"
+    assert base_flow["edges"][2]["source"] == "ChatOpenAI-rUJ1b"
+    assert base_flow["edges"][2]["target"] == "LLMChain-2P369"
+
+
+def test_process_flow(grouped_chat_json_flow):
+    grouped_chat_data = json.loads(grouped_chat_json_flow).get("data")
+
+    processed_flow = process_flow(grouped_chat_data)
+    assert processed_flow is not None
+    assert isinstance(processed_flow, dict)
+    assert "nodes" in processed_flow
+    assert "edges" in processed_flow
+
+
+def test_process_flow_one_group(one_grouped_chat_json_flow):
+    grouped_chat_data = json.loads(one_grouped_chat_json_flow).get("data")
+    # There should be only one node
+    assert len(grouped_chat_data["nodes"]) == 1
+    # Get the node, it should be a group node
+    group_node = grouped_chat_data["nodes"][0]
+    node_data = group_node["data"]["node"]
+    assert node_data.get("flow") is not None
+    template_data = node_data["template"]
+    assert any("openai_api_key" in key for key in template_data.keys())
+    # Get the openai_api_key dict
+    openai_api_key = next(
+        (template_data[key] for key in template_data.keys() if "openai_api_key" in key),
+        None,
+    )
+    assert openai_api_key is not None
+    assert openai_api_key["value"] == "test"
+
+    processed_flow = process_flow(grouped_chat_data)
+    assert processed_flow is not None
+    assert isinstance(processed_flow, dict)
+    assert "nodes" in processed_flow
+    assert "edges" in processed_flow
+
+    # Now get the node that has ChatOpenAI in its id
+    chat_openai_node = next((node for node in processed_flow["nodes"] if "ChatOpenAI" in node["id"]), None)
+    assert chat_openai_node is not None
+    assert chat_openai_node["data"]["node"]["template"]["openai_api_key"]["value"] == "test"
+
+
+def test_process_flow_vector_store_grouped(vector_store_grouped_json_flow):
+    grouped_chat_data = json.loads(vector_store_grouped_json_flow).get("data")
+    nodes = grouped_chat_data["nodes"]
+    assert len(nodes) == 4
+    # There are two group nodes in this flow
+    # One of them is inside the other totalling 7 nodes
+    # 4 nodes grouped, one of these turns into 1 normal node and 1 group node
+    # This group node has 2 nodes inside it
+
+    processed_flow = process_flow(grouped_chat_data)
+    assert processed_flow is not None
+    processed_nodes = processed_flow["nodes"]
+    assert len(processed_nodes) == 7
+    assert isinstance(processed_flow, dict)
+    assert "nodes" in processed_flow
+    assert "edges" in processed_flow
+    edges = processed_flow["edges"]
+    # Expected keywords in source and target fields
+    expected_keywords = [
+        {"source": "VectorStoreInfo", "target": "VectorStoreAgent"},
+        {"source": "ChatOpenAI", "target": "VectorStoreAgent"},
+        {"source": "OpenAIEmbeddings", "target": "Chroma"},
+        {"source": "Chroma", "target": "VectorStoreInfo"},
+        {"source": "WebBaseLoader", "target": "RecursiveCharacterTextSplitter"},
+        {"source": "RecursiveCharacterTextSplitter", "target": "Chroma"},
+    ]
+
+    for idx, expected_keyword in enumerate(expected_keywords):
+        for key, value in expected_keyword.items():
+            assert (
+                value in edges[idx][key].split("-")[0]
+            ), f"Edge {idx}, key {key} expected to contain {value} but got {edges[idx][key]}"
+
+
+def test_update_template(sample_template, sample_nodes):
+    # Making a deep copy to keep original sample_nodes unchanged
+    nodes_copy = copy.deepcopy(sample_nodes)
+    update_template(sample_template, nodes_copy)
+
+    # Now, validate the updates.
+    node1_updated = next((n for n in nodes_copy if n["id"] == "node1"), None)
+    node2_updated = next((n for n in nodes_copy if n["id"] == "node2"), None)
+    node3_updated = next((n for n in nodes_copy if n["id"] == "node3"), None)
+
+    assert node1_updated["data"]["node"]["template"]["some_field"]["show"] is True
+    assert node1_updated["data"]["node"]["template"]["some_field"]["advanced"] is False
+    assert node1_updated["data"]["node"]["template"]["some_field"]["display_name"] == "Name1"
+
+    assert node2_updated["data"]["node"]["template"]["other_field"]["show"] is False
+    assert node2_updated["data"]["node"]["template"]["other_field"]["advanced"] is True
+    assert node2_updated["data"]["node"]["template"]["other_field"]["display_name"] == "DisplayName2"
+
+    # Ensure node3 remains unchanged
+    assert node3_updated == sample_nodes[2]
+
+
+# Test `update_target_handle`
+def test_update_target_handle_proxy():
+    new_edge = {
+        "data": {
+            "targetHandle": {
+                "type": "some_type",
+                "proxy": {"id": "some_id", "field": ""},
+            }
+        }
+    }
+    g_nodes = [{"id": "some_id", "data": {"node": {"flow": None}}}]
+    group_node_id = "group_id"
+    updated_edge = update_target_handle(new_edge, g_nodes, group_node_id)
+    assert updated_edge["data"]["targetHandle"] == new_edge["data"]["targetHandle"]
+
+
+# Test `set_new_target_handle`
+def test_set_new_target_handle():
+    proxy_id = "proxy_id"
+    new_edge = {"target": None, "data": {"targetHandle": {}}}
+    target_handle = {"type": "type_1", "proxy": {"field": "field_1"}}
+    node = {
+        "data": {
+            "node": {
+                "flow": True,
+                "template": {"field_1": {"proxy": {"field": "new_field", "id": "new_id"}}},
+            }
+        }
+    }
+    set_new_target_handle(proxy_id, new_edge, target_handle, node)
+    assert new_edge["target"] == "proxy_id"
+    assert new_edge["data"]["targetHandle"]["fieldName"] == "field_1"
+    assert new_edge["data"]["targetHandle"]["proxy"] == {
+        "field": "new_field",
+        "id": "new_id",
+    }
+
+
+# Test `update_source_handle`
+def test_update_source_handle():
+    new_edge = {"source": None, "data": {"sourceHandle": {"id": None}}}
+    flow_data = {
+        "nodes": [{"id": "some_node"}, {"id": "last_node"}],
+        "edges": [{"source": "some_node"}],
+    }
+    updated_edge = update_source_handle(new_edge, flow_data["nodes"], flow_data["edges"])
+    assert updated_edge["source"] == "last_node"
+    assert updated_edge["data"]["sourceHandle"]["id"] == "last_node"
+
+
+@pytest.mark.asyncio
+async def test_pickle_graph():
+    starter_projects = load_starter_projects()
+    data = starter_projects[0][1]["data"]
+    graph = Graph.from_payload(data)
+    assert isinstance(graph, Graph)
+    pickled = pickle.dumps(graph)
+    assert pickled is not None
+    unpickled = pickle.loads(pickled)
+    assert unpickled is not None
diff --git a/tests/unit/test_helper_components.py b/tests/unit/test_helper_components.py
new file mode 100644
index 00000000000..80c85b787ae
--- /dev/null
+++ b/tests/unit/test_helper_components.py
@@ -0,0 +1,81 @@
+from langchain_core.documents import Document
+
+from langflow.components import helpers
+from langflow.custom.utils import build_custom_component_template
+from langflow.schema import Data
+
+# def test_update_data_component():
+#     # Arrange
+#     update_data_component = helpers.UpdateDataComponent()
+
+#     # Act
+#     new_data = {"new_key": "new_value"}
+#     existing_data = Data(data={"existing_key": "existing_value"})
+#     result = update_data_component.build(existing_data, new_data)
+#     assert result.data == {"existing_key": "existing_value", "new_key": "new_value"}
+#     assert result.existing_key == "existing_value"
+#     assert result.new_key == "new_value"
+
+
+def test_document_to_data_component():
+    # Arrange
+    document_to_data_component = helpers.DocumentsToDataComponent()
+
+    # Act
+    # Replace with your actual test data
+    document = Document(page_content="key: value", metadata={"url": "https://example.com"})
+    result = document_to_data_component.build(document)
+
+    # Assert
+    # Replace with your actual expected result
+    assert result == [Data(data={"text": "key: value", "url": "https://example.com"})]
+
+
+def test_uuid_generator_component():
+    # Arrange
+    uuid_generator_component = helpers.UUIDGeneratorComponent()
+    uuid_generator_component.code = open(helpers.IDGenerator.__file__, "r").read()
+
+    frontend_node, _ = build_custom_component_template(uuid_generator_component)
+
+    # Act
+    build_config = frontend_node.get("template")
+    field_name = "unique_id"
+    build_config = uuid_generator_component.update_build_config(build_config, None, field_name)
+    unique_id = build_config["unique_id"]["value"]
+    result = uuid_generator_component.build(unique_id)
+
+    # Assert
+    # UUID should be a string of length 36
+    assert isinstance(result, str)
+    assert len(result) == 36
+
+
+def test_data_as_text_component():
+    # Arrange
+    data_as_text_component = helpers.ParseDataComponent()
+
+    # Act
+    # Replace with your actual test data
+    data = [Data(data={"key": "value", "bacon": "eggs"})]
+    template = "Data:{data} -- Bacon:{bacon}"
+    data_as_text_component.set_attributes({"data": data, "template": template})
+    result = data_as_text_component.parse_data()
+
+    # Assert
+    # Replace with your actual expected result
+    assert result.text == "Data:{'key': 'value', 'bacon': 'eggs'} -- Bacon:eggs"
+
+
+# def test_text_to_data_component():
+#     # Arrange
+#     text_to_data_component = helpers.CreateDataComponent()
+
+#     # Act
+#     # Replace with your actual test data
+#     dict_with_text = {"field_1": {"key": "value"}}
+#     result = text_to_data_component.build(number_of_fields=1, **dict_with_text)
+
+#     # Assert
+#     # Replace with your actual expected result
+#     assert result == Data(data={"key": "value"})
diff --git a/tests/unit/test_initial_setup.py b/tests/unit/test_initial_setup.py
new file mode 100644
index 00000000000..8bfb3d5dfeb
--- /dev/null
+++ b/tests/unit/test_initial_setup.py
@@ -0,0 +1,88 @@
+from datetime import datetime
+from pathlib import Path
+
+import pytest
+from sqlmodel import select
+
+from langflow.initial_setup.setup import STARTER_FOLDER_NAME, get_project_data, load_starter_projects
+from langflow.services.database.models.folder.model import Folder
+from langflow.services.deps import session_scope
+
+
+def test_load_starter_projects():
+    projects = load_starter_projects()
+    assert isinstance(projects, list)
+    assert all(isinstance(project[1], dict) for project in projects)
+    assert all(isinstance(project[0], Path) for project in projects)
+
+
+def test_get_project_data():
+    projects = load_starter_projects()
+    for _, project in projects:
+        (
+            project_name,
+            project_description,
+            project_is_component,
+            updated_at_datetime,
+            project_data,
+            project_icon,
+            project_icon_bg_color,
+        ) = get_project_data(project)
+        assert isinstance(project_name, str)
+        assert isinstance(project_description, str)
+        assert isinstance(project_is_component, bool)
+        assert isinstance(updated_at_datetime, datetime)
+        assert isinstance(project_data, dict)
+        assert isinstance(project_icon, str) or project_icon is None
+        assert isinstance(project_icon_bg_color, str) or project_icon_bg_color is None
+
+
+@pytest.mark.asyncio
+async def test_create_or_update_starter_projects():
+    with session_scope() as session:
+        # Get the number of projects returned by load_starter_projects
+        num_projects = len(load_starter_projects())
+
+        # Get the number of projects in the database
+        folder = session.exec(select(Folder).where(Folder.name == STARTER_FOLDER_NAME)).first()
+        assert folder is not None
+        num_db_projects = len(folder.flows)
+
+        # Check that the number of projects in the database is the same as the number of projects returned by load_starter_projects
+        assert num_db_projects == num_projects
+
+
+# Some starter projects require integration
+# @pytest.mark.asyncio
+# async def test_starter_projects_can_run_successfully(client):
+#     with session_scope() as session:
+#         # Run the function to create or update projects
+#         create_or_update_starter_projects()
+
+#         # Get the number of projects returned by load_starter_projects
+#         num_projects = len(load_starter_projects())
+
+#         # Get the number of projects in the database
+#         num_db_projects = session.exec(select(func.count(Flow.id)).where(Flow.folder == STARTER_FOLDER_NAME)).one()
+
+#         # Check that the number of projects in the database is the same as the number of projects returned by load_starter_projects
+#         assert num_db_projects == num_projects
+
+#         # Get all the starter projects
+#         projects = session.exec(select(Flow).where(Flow.folder == STARTER_FOLDER_NAME)).all()
+#         graphs: list[tuple[str, Graph]] = []
+#         for project in projects:
+#             # Add tweaks to make file_path work
+#             tweaks = {"path": __file__}
+#             graph_data = process_tweaks(project.data, tweaks)
+#             graph_object = Graph.from_payload(graph_data, flow_id=project.id)
+#             graphs.append((project.name, graph_object))
+#         assert len(graphs) == len(projects)
+#     for name, graph in graphs:
+#         outputs = await graph.arun(
+#             inputs={},
+#             outputs=[],
+#             session_id="test",
+#         )
+#         assert all(isinstance(output, RunOutputs) for output in outputs), f"Project {name} error: {outputs}"
+#         delete_messages(session_id="test")
diff --git a/tests/unit/test_kubernetes_secrets.py b/tests/unit/test_kubernetes_secrets.py
new file mode 100644
index 00000000000..9de359535f1
--- /dev/null
+++ b/tests/unit/test_kubernetes_secrets.py
@@ -0,0 +1,107 @@
+import pytest
+from unittest.mock import MagicMock
+from kubernetes.client import V1ObjectMeta, V1Secret
+from base64 import b64encode
+from uuid import UUID
+
+from langflow.services.variable.kubernetes_secrets import KubernetesSecretManager, encode_user_id
+
+
+@pytest.fixture
+def mock_kube_config(mocker):
+    mocker.patch("kubernetes.config.load_kube_config")
+    mocker.patch("kubernetes.config.load_incluster_config")
+
+
+@pytest.fixture
+def secret_manager(mock_kube_config):
+    return KubernetesSecretManager(namespace="test-namespace")
+
+
+def test_create_secret(secret_manager, mocker):
+    mocker.patch.object(
+        secret_manager.core_api,
+        "create_namespaced_secret",
+        return_value=V1Secret(metadata=V1ObjectMeta(name="test-secret")),
+    )
+
+    secret_manager.create_secret(name="test-secret", data={"key": "value"})
+    secret_manager.core_api.create_namespaced_secret.assert_called_once_with(
+        "test-namespace",
+        V1Secret(
+            api_version="v1",
+            kind="Secret",
+            metadata=V1ObjectMeta(name="test-secret"),
+            type="Opaque",
+            data={"key": b64encode("value".encode()).decode()},
+        ),
+    )
+
+
+def test_get_secret(secret_manager, mocker):
+    mock_secret = V1Secret(data={"key": b64encode("value".encode()).decode()})
+    mocker.patch.object(secret_manager.core_api, "read_namespaced_secret", return_value=mock_secret)
+
+    secret_data = secret_manager.get_secret(name="test-secret")
+    secret_manager.core_api.read_namespaced_secret.assert_called_once_with("test-secret", "test-namespace")
+    assert secret_data == {"key": "value"}
+
+
+def test_delete_secret(secret_manager, mocker):
+    mocker.patch.object(secret_manager.core_api, "delete_namespaced_secret", return_value=MagicMock(status="Success"))
+
+    secret_manager.delete_secret(name="test-secret")
+    secret_manager.core_api.delete_namespaced_secret.assert_called_once_with("test-secret", "test-namespace")
+
+
+def test_encode_uuid():
+    uuid = UUID("123e4567-e89b-12d3-a456-426614174000")
+    result = encode_user_id(uuid)
+    assert result == "uuid-123e4567-e89b-12d3-a456-426614174000"
+    assert len(result) < 253
+    assert result[0].isalnum()
+    assert result[-1].isalnum()
+
+
+def test_encode_string():
+    string_id = "user@example.com"
+    result = encode_user_id(string_id)
+    # assert (result.isalnum() or '-' in result or '_' in result)
+    assert len(result) < 253
+    assert result[0].isalnum()
+    assert result[-1].isalnum()
+
+
+def test_long_string():
+    long_string = "a" * 300
+    result = encode_user_id(long_string)
+    assert len(result) <= 253
+
+
+def test_starts_with_non_alphanumeric():
+    non_alnum_start = "+user123"
+    result = encode_user_id(non_alnum_start)
+    assert result[0].isalnum()
+
+
+def test_ends_with_non_alphanumeric():
+    non_alnum_end = "user123+"
+    result = encode_user_id(non_alnum_end)
+    assert result[-1].isalnum()
+
+
+def test_email_address():
+    email = "User.Name@Example.com"
+    result = encode_user_id(email)
+    assert result.isalnum() or "-" in result or "_" in result
+    assert len(result) < 253
+    assert result[0].isalnum()
+    assert result[-1].isalnum()
+
+
+def test_uuid_case_insensitivity():
+    uuid_upper = UUID("123E4567-E89B-12D3-A456-426614174000")
+    uuid_lower = UUID("123e4567-e89b-12d3-a456-426614174000")
+    result_upper = encode_user_id(uuid_upper)
+    result_lower = encode_user_id(uuid_lower)
+    assert result_upper == result_lower
diff --git a/tests/unit/test_loading.py b/tests/unit/test_loading.py
new file mode 100644
index 00000000000..a3138f22c0f
--- /dev/null
+++ b/tests/unit/test_loading.py
@@ -0,0 +1,43 @@
+import pytest
+from langflow.graph import Graph
+from langflow.graph.schema import RunOutputs
+from langflow.initial_setup.setup import load_starter_projects
+from langflow.load import load_flow_from_json, run_flow_from_json
+
+
+@pytest.mark.noclient
+def test_load_flow_from_json():
+    """Test loading a flow from a json file"""
+    loaded = load_flow_from_json(pytest.BASIC_EXAMPLE_PATH)
+    assert loaded is not None
+    assert isinstance(loaded, Graph)
+
+
+@pytest.mark.noclient
+def test_load_flow_from_json_with_tweaks():
+    """Test loading a flow from a json file and applying tweaks"""
+    tweaks = {"dndnode_82": {"model_name": "gpt-3.5-turbo-16k-0613"}}
+    loaded = load_flow_from_json(pytest.BASIC_EXAMPLE_PATH, tweaks=tweaks)
+    assert loaded is not None
+    assert isinstance(loaded, Graph)
+
+
+@pytest.mark.noclient
+def test_load_flow_from_json_object():
+    """Test loading a flow from a json file and applying tweaks"""
+    _, projects = zip(*load_starter_projects())
+    project = projects[0]
+    loaded = load_flow_from_json(project)
+    assert loaded is not None
+    assert isinstance(loaded, Graph)
+
+
+@pytest.mark.noclient
+@pytest.mark.api_key_required
+def test_run_flow_from_json_object():
+    """Test loading a flow from a json file and applying tweaks"""
+    _, projects = zip(*load_starter_projects())
+    project = [project for project in projects if "Basic Prompting" in project["name"]][0]
+    results = run_flow_from_json(project, input_value="test", fallback_to_env_vars=True)
+    assert results is not None
+    assert all(isinstance(result, RunOutputs) for result in results)
diff --git a/tests/test_login.py b/tests/unit/test_login.py
similarity index 84%
rename from tests/test_login.py
rename to tests/unit/test_login.py
index 399c7b7615c..f4bc05bd59e 100644
--- a/tests/test_login.py
+++ b/tests/unit/test_login.py
@@ -1,8 +1,8 @@
-from langflow.services.database.utils import session_getter
-from langflow.services.deps import get_db_service
 import pytest
-from langflow.services.database.models.user import User
 from langflow.services.auth.utils import get_password_hash
+from langflow.services.database.models.user import User
+from langflow.services.deps import session_scope
+from sqlalchemy.exc import IntegrityError
 
 
 @pytest.fixture
@@ -17,9 +17,12 @@ def test_user():
 
 def test_login_successful(client, test_user):
     # Adding the test user to the database
-    with session_getter(get_db_service()) as session:
-        session.add(test_user)
-        session.commit()
+    try:
+        with session_scope() as session:
+            session.add(test_user)
+            session.commit()
+    except IntegrityError:
+        pass
 
     response = client.post("api/v1/login", data={"username": "testuser", "password": "testpassword"})
     assert response.status_code == 200
diff --git a/tests/unit/test_process.py b/tests/unit/test_process.py
new file mode 100644
index 00000000000..5d0f80d9026
--- /dev/null
+++ b/tests/unit/test_process.py
@@ -0,0 +1,303 @@
+import pytest
+from langflow.processing.process import process_tweaks
+from langflow.services.deps import get_session_service
+
+
+def test_no_tweaks():
+    graph_data = {
+        "data": {
+            "nodes": [
+                {
+                    "id": "node1",
+                    "data": {
+                        "node": {
+                            "template": {
+                                "param1": {"value": 1},
+                                "param2": {"value": 2},
+                            }
+                        }
+                    },
+                },
+                {
+                    "id": "node2",
+                    "data": {
+                        "node": {
+                            "template": {
+                                "param1": {"value": 3},
+                                "param2": {"value": 4},
+                            }
+                        }
+                    },
+                },
+            ]
+        }
+    }
+    tweaks = {}
+    result = process_tweaks(graph_data, tweaks)
+    assert result == graph_data
+
+
+def test_single_tweak():
+    graph_data = {
+        "data": {
+            "nodes": [
+                {
+                    "id": "node1",
+                    "data": {
+                        "node": {
+                            "template": {
+                                "param1": {"value": 1, "type": "int"},
+                                "param2": {"value": 2, "type": "int"},
+                            }
+                        }
+                    },
+                },
+                {
+                    "id": "node2",
+                    "data": {
+                        "node": {
+                            "template": {
+                                "param1": {"value": 3, "type": "int"},
+                                "param2": {"value": 4, "type": "int"},
+                            }
+                        }
+                    },
+                },
+            ]
+        }
+    }
+    tweaks = {"node1": {"param1": 5}}
+    expected_result = {
+        "data": {
+            "nodes": [
+                {
+                    "id": "node1",
+                    "data": {
+                        "node": {
+                            "template": {
+                                "param1": {"value": 5, "type": "int"},
+                                "param2": {"value": 2, "type": "int"},
+                            }
+                        }
+                    },
+                },
+                {
+                    "id": "node2",
+                    "data": {
+                        "node": {
+                            "template": {
+                                "param1": {"value": 3, "type": "int"},
+                                "param2": {"value": 4, "type": "int"},
+                            }
+                        }
+                    },
+                },
+            ]
+        }
+    }
+    result = process_tweaks(graph_data, tweaks)
+    assert result == expected_result
+
+
+def test_multiple_tweaks():
+    graph_data = {
+        "data": {
+            "nodes": [
+                {
+                    "id": "node1",
+                    "data": {
+                        "node": {
+                            "template": {
+                                "param1": {"value": 1, "type": "int"},
+                                "param2": {"value": 2, "type": "int"},
+                            }
+                        }
+                    },
+                },
+                {
+                    "id": "node2",
+                    "data": {
+                        "node": {
+                            "template": {
+                                "param1": {"value": 3, "type": "int"},
+                                "param2": {"value": 4, "type": "int"},
+                            }
+                        }
+                    },
+                },
+            ]
+        }
+    }
+    tweaks = {
+        "node1": {"param1": 5, "param2": 6},
+        "node2": {"param1": 7},
+    }
+    expected_result = {
+        "data": {
+            "nodes": [
+                {
+                    "id": "node1",
+                    "data": {
+                        "node": {
+                            "template": {
+                                "param1": {"value": 5, "type": "int"},
+                                "param2": {"value": 6, "type": "int"},
+                            }
+                        }
+                    },
+                },
+                {
+                    "id": "node2",
+                    "data": {
+                        "node": {
+                            "template": {
+                                "param1": {"value": 7, "type": "int"},
+                                "param2": {"value": 4, "type": "int"},
+                            }
+                        }
+                    },
+                },
+            ]
+        }
+    }
+    result = process_tweaks(graph_data, tweaks)
+    assert result == expected_result
+
+
+# Test twekas that just pass the param and value but no node id.
+# This is a new feature that was added to the process_tweaks function
+def test_tweak_no_node_id():
+    graph_data = {
+        "data": {
+            "nodes": [
+                {
+                    "id": "node1",
+                    "data": {
+                        "node": {
+                            "template": {
+                                "param1": {"value": 1, "type": "int"},
+                                "param2": {"value": 2, "type": "int"},
+                            }
+                        }
+                    },
+                },
+                {
+                    "id": "node2",
+                    "data": {
+                        "node": {
+                            "template": {
+                                "param1": {"value": 3, "type": "int"},
+                                "param2": {"value": 4, "type": "int"},
+                            }
+                        }
+                    },
+                },
+            ]
+        }
+    }
+    tweaks = {"param1": 5}
+    expected_result = {
+        "data": {
+            "nodes": [
+                {
+                    "id": "node1",
+                    "data": {
+                        "node": {
+                            "template": {
+                                "param1": {"value": 5, "type": "int"},
+                                "param2": {"value": 2, "type": "int"},
+                            }
+                        }
+                    },
+                },
+                {
+                    "id": "node2",
+                    "data": {
+                        "node": {
+                            "template": {
+                                "param1": {"value": 5, "type": "int"},
+                                "param2": {"value": 4, "type": "int"},
+                            }
+                        }
+                    },
+                },
+            ]
+        }
+    }
+    result = process_tweaks(graph_data, tweaks)
+    assert result == expected_result
+
+
+def test_tweak_not_in_template():
+    graph_data = {
+        "data": {
+            "nodes": [
+                {
+                    "id": "node1",
+                    "data": {
+                        "node": {
+                            "template": {
+                                "param1": {"value": 1, "type": "int"},
+                                "param2": {"value": 2, "type": "int"},
+                            }
+                        }
+                    },
+                },
+                {
+                    "id": "node2",
+                    "data": {
+                        "node": {
+                            "template": {
+                                "param1": {"value": 3, "type": "int"},
+                                "param2": {"value": 4, "type": "int"},
+                            }
+                        }
+                    },
+                },
+            ]
+        }
+    }
+    tweaks = {"node1": {"param3": 5}}
+    result = process_tweaks(graph_data, tweaks)
+    assert result == graph_data
+
+
+@pytest.mark.asyncio
+async def test_load_langchain_object_with_cached_session(client, basic_graph_data):
+    # Provide a non-existent session_id
+    session_service = get_session_service()
+    session_id1 = "non-existent-session-id"
+    graph1, artifacts1 = await session_service.load_session(session_id1, basic_graph_data)
+    # Use the new session_id to get the langchain_object again
+    graph2, artifacts2 = await session_service.load_session(session_id1, basic_graph_data)
+
+    assert graph1 == graph2
+    assert artifacts1 == artifacts2
+
+
+@pytest.mark.asyncio
+async def test_load_langchain_object_with_no_cached_session(client, basic_graph_data):
+    # Provide a non-existent session_id
+    session_service = get_session_service()
+    session_id1 = "non-existent-session-id"
+    session_id = session_service.build_key(session_id1, basic_graph_data)
+    graph1, artifacts1 = await session_service.load_session(session_id, data_graph=basic_graph_data, flow_id="flow_id")
+    # Clear the cache
+    await session_service.clear_session(session_id)
+    # Use the new session_id to get the graph again
+    graph2, artifacts2 = await session_service.load_session(session_id, data_graph=basic_graph_data, flow_id="flow_id")
+
+    # Since the cache was cleared, objects should be different
+    assert id(graph1) != id(graph2)
+
+
+@pytest.mark.asyncio
+async def test_load_langchain_object_without_session_id(client, basic_graph_data):
+    # Provide a non-existent session_id
+    session_service = get_session_service()
+    session_id1 = None
+    graph1, artifacts1 = await session_service.load_session(session_id1, data_graph=basic_graph_data, flow_id="flow_id")
+    # Use the new session_id to get the langchain_object again
+    graph2, artifacts2 = await session_service.load_session(session_id1, data_graph=basic_graph_data, flow_id="flow_id")
+
+    assert graph1 == graph2
diff --git a/tests/test_setup_superuser.py b/tests/unit/test_setup_superuser.py
similarity index 96%
rename from tests/test_setup_superuser.py
rename to tests/unit/test_setup_superuser.py
index 03d3882fbf4..c2172429b92 100644
--- a/tests/test_setup_superuser.py
+++ b/tests/unit/test_setup_superuser.py
@@ -1,6 +1,9 @@
 from unittest.mock import MagicMock, patch
 
-from langflow.services.settings.constants import DEFAULT_SUPERUSER, DEFAULT_SUPERUSER_PASSWORD
+from langflow.services.settings.constants import (
+    DEFAULT_SUPERUSER,
+    DEFAULT_SUPERUSER_PASSWORD,
+)
 from langflow.services.utils import teardown_superuser
 
 # @patch("langflow.services.deps.get_session")
@@ -119,11 +122,11 @@ def test_teardown_superuser_no_default_superuser(mock_get_session, mock_get_sett
     mock_session = MagicMock()
     mock_user = MagicMock()
     mock_user.is_superuser = False
-    mock_session.exec.return_value.filter.return_value.first.return_value = mock_user
+    mock_session.query.return_value.filter.return_value.first.return_value = mock_user
     mock_get_session.return_value = [mock_session]
 
     teardown_superuser(mock_settings_service, mock_session)
 
-    mock_session.exec.assert_called_once()
+    mock_session.query.assert_not_called()
     mock_session.delete.assert_not_called()
     mock_session.commit.assert_not_called()
diff --git a/tests/unit/test_template.py b/tests/unit/test_template.py
new file mode 100644
index 00000000000..49bc7bd4d7a
--- /dev/null
+++ b/tests/unit/test_template.py
@@ -0,0 +1,93 @@
+import importlib
+from typing import Dict, List, Optional
+
+import pytest
+from langflow.utils.util import build_template_from_function, get_base_classes, get_default_factory
+from pydantic import BaseModel
+
+
+# Dummy classes for testing purposes
+class Parent(BaseModel):
+    """Parent Class"""
+
+    parent_field: str
+
+
+class Child(Parent):
+    """Child Class"""
+
+    child_field: int
+
+
+class ExampleClass1(BaseModel):
+    """Example class 1."""
+
+    def __init__(self, data: Optional[List[int]] = None):
+        self.data = data or [1, 2, 3]
+
+
+class ExampleClass2(BaseModel):
+    """Example class 2."""
+
+    def __init__(self, data: Optional[Dict[str, int]] = None):
+        self.data = data or {"a": 1, "b": 2, "c": 3}
+
+
+def example_loader_1() -> ExampleClass1:
+    """Example loader function 1."""
+    return ExampleClass1()
+
+
+def example_loader_2() -> ExampleClass2:
+    """Example loader function 2."""
+    return ExampleClass2()
+
+
+def test_build_template_from_function():
+    type_to_loader_dict = {
+        "example1": example_loader_1,
+        "example2": example_loader_2,
+    }
+
+    # Test with valid name
+    result = build_template_from_function("ExampleClass1", type_to_loader_dict)
+
+    assert result is not None
+    assert "template" in result
+    assert "description" in result
+    assert "base_classes" in result
+
+    # Test with add_function=True
+    result_with_function = build_template_from_function("ExampleClass1", type_to_loader_dict, add_function=True)
+    assert result_with_function is not None
+    assert "Callable" in result_with_function["base_classes"]
+
+    # Test with invalid name
+    with pytest.raises(ValueError, match=r".* not found"):
+        build_template_from_function("NonExistent", type_to_loader_dict)
+
+
+# Test get_base_classes
+def test_get_base_classes():
+    base_classes_parent = get_base_classes(Parent)
+    base_classes_child = get_base_classes(Child)
+
+    assert "Parent" in base_classes_parent
+    assert "Child" in base_classes_child
+    assert "Parent" in base_classes_child
+
+
+# Test get_default_factory
+def test_get_default_factory():
+    module_name = "langflow.utils.util"
+    function_repr = "<function dummy_function>"
+
+    def dummy_function():
+        return "default_value"
+
+    # Add dummy_function to your_module
+    setattr(importlib.import_module(module_name), "dummy_function", dummy_function)
+
+    default_value = get_default_factory(module_name, function_repr)
+
+    assert default_value == "default_value"
diff --git a/tests/test_validate_code.py b/tests/unit/test_validate_code.py
similarity index 100%
rename from tests/test_validate_code.py
rename to tests/unit/test_validate_code.py
diff --git a/tests/unit/text_experimental_components.py b/tests/unit/text_experimental_components.py
new file mode 100644
index 00000000000..a4ee47729c2
--- /dev/null
+++ b/tests/unit/text_experimental_components.py
@@ -0,0 +1,15 @@
+from langflow.components import experimental
+
+
+def test_python_function_component():
+    # Arrange
+    python_function_component = experimental.PythonFunctionComponent()
+
+    # Act
+    # function must be a string representation
+    function = "def function():\n    return 'Hello, World!'"
+    # result is the callable function
+    result = python_function_component.build(function)
+
+    # Assert
+    assert result() == "Hello, World!"